[{"id":"arxiv:2211.00355v1","name":"Urban Mobility","source":"arxiv","abstract":"In this chapter, we discuss urban mobility from a complexity science perspective. First, we give an overview of the datasets that enable this approach, such as mobile phone records, location-based social network traces, or GPS trajectories from sensors installed on vehicles. We then review the empirical and theoretical understanding of the properties of human movements, including the distribution of travel distances and times, the entropy of trajectories, and the interplay between exploration and exploitation of locations. Next, we explain generative and predictive models of individual mobility, and their limitations due to intrinsic limits of predictability. Finally, we discuss urban transport from a systemic perspective, including system-wide challenges like ridesharing, multimodality, and sustainable transport.","url":"https://arxiv.org/abs/2211.00355v1","authors":["Laura Alessandretti","Michael Szell"],"tags":["physics.soc-ph","cs.CY"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2022-11-01T09:58:49Z","addedAt":"2026-08-06T22:48:46.007Z"},{"id":"arxiv:2405.03290v2","name":"Coordinating Cooperative Perception in Urban Air Mobility for Enhanced Environmental Awareness","source":"arxiv","abstract":"The trend for Urban Air Mobility (UAM) is growing with prospective air taxis, parcel deliverers, and medical and industrial services. Safe and efficient UAM operation relies on timely communication and reliable data exchange. In this paper, we explore Cooperative Perception (CP) for Unmanned Aircraft Systems (UAS), considering the unique communication needs involving high dynamics and a large number of UAS. We propose a hybrid approach combining local broadcast with a central CP service, inspired by centrally managed U-space and broadcast mechanisms from automotive and aviation domains. In a simulation study, we show that our approach significantly enhances the environmental awareness for UAS compared to fully distributed approaches, with an increased communication channel load, which we also evaluate. These findings prompt a discussion on communication strategies for CP in UAM and the potential of a centralized CP service in future research.","url":"https://arxiv.org/abs/2405.03290v2","authors":["Timo Häckel","Luca von Roenn","Nemo Juchmann","Alexander Fay","Rinie Akkermans","Tim Tiedemann","Thomas C. Schmidt"],"tags":["cs.NI"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2024-05-06T09:06:41Z","addedAt":"2026-08-06T22:48:46.007Z"},{"id":"arxiv:2503.14195v1","name":"Mapping Urban Villages in China: Progress and Challenges","source":"arxiv","abstract":"The shift toward high-quality urbanization has brought increased attention to the issue of \"urban villages\", which has become a prominent social problem in China. However, there is a lack of available geospatial data on urban villages, making it crucial to prioritize urban village mapping. In order to assess the current progress in urban village mapping and identify challenges and future directions, we have conducted a comprehensive review, which to the best of our knowledge is the first of its kind in this field. Our review begins by providing a clear context for urban villages and elaborating the method for literature review, then summarizes the study areas, data sources, and approaches used for urban village mapping in China. We also address the challenges and future directions for further research. Through thorough investigation, we find that current studies only cover very limited study areas and periods and lack sufficient investigation into the scalability, transferability, and interpretability of identification approaches due to the challenges in concept fuzziness and variances, spatial heterogeneity and variances of urban villages, and data availability. Future research can complement and further the current research in the following potential directions in order to achieve large-area mapping across the whole nation...","url":"https://arxiv.org/abs/2503.14195v1","authors":["Rui Cao","Wei Tu","Dongsheng Chen","Wenyu Zhang"],"tags":["cs.DB","cs.CV"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2025-03-18T12:13:55Z","addedAt":"2026-08-06T22:48:46.007Z"},{"id":"arxiv:0506741v1","name":"Measurement of Pressure Dependent Fluorescence Yield of Air: Calibration Factor for UHECR Detectors","source":"arxiv","abstract":"In a test experiment at the Final Focus Test Beam of the Stanford Linear Accelerator Center, the fluorescence yield of 28.5 GeV electrons in air and nitrogen was measured. The measured photon yields between 300 and 400 nm at 1 atm and 29 deg C are Y(760 Torr, air) = 4.42 +/- 0.73 and Y(760 Torr, nitrogen) = 29.2 +/- 4.8 photons per electron per meter. Assuming that the fluorescence yield is proportional to the energy deposition of a charged particle traveling through air, good agreement with measurements at lower particle energies is observed.","url":"https://arxiv.org/abs/astro-ph/0506741v1","authors":["The Fuorescence in Air from Showers"," Collaboration"],"tags":["astro-ph"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2005-06-29T21:14:01Z","addedAt":"2026-08-06T22:48:46.008Z"},{"id":"arxiv:2304.12840v2","name":"Spatiotemporal gender differences in urban vibrancy","source":"arxiv","abstract":"Urban vibrancy is the dynamic activity of humans in urban locations. It can vary with urban features and the opportunities for human interactions, but it might also differ according to the underlying social conditions of city inhabitants across and within social surroundings. Such heterogeneity in how different demographic groups may experience cities has the potential to cause gender segregation because of differences in the preferences of inhabitants, their accessibility and opportunities, and large-scale mobility behaviours. However, traditional studies have failed to capture fully a high-frequency understanding of how urban vibrancy is linked to urban features, how this might differ for different genders, and how this might affect segregation in cities. Our results show that (1) there are differences between males and females in terms of urban vibrancy, (2) the differences relate to `Points of Interest` as well as transportation networks, and (3) that there are both positive and negative `spatial spillovers` existing across each city. To do this, we use a quantitative approach using Call Detail Record data--taking advantage of the near-ubiquitous use of mobile phones--to gain high-frequency observations of spatial behaviours across the seven most prominent cities of Italy. We use a spatial model comparison approach of the direct and `spillover` effects from urban features on male-female differences. Our results increase our understanding of inequality in cities and how we can make future cities fairer.","url":"https://arxiv.org/abs/2304.12840v2","authors":["Thomas Collins","Riccardo Di Clemente","Mario Gutiérrez-Roig","Federico Botta"],"tags":["physics.soc-ph","cs.CY"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2023-04-25T14:12:58Z","addedAt":"2026-08-06T22:48:46.008Z"},{"id":"arxiv:2107.02900v1","name":"Capacity-Constrained Urban Air Mobility Scheduling","source":"arxiv","abstract":"This paper studies the problem of scheduling urban air mobility trips when travel times are uncertain and capacity at destinations is limited. Urban air mobility, in which air transportation is used for relatively short trips within a city or region, is emerging as a possible component in future transportation networks. Destinations in urban air mobility networks, called vertiports or vertistops, typically have limited landing capacity, and, for safety, it must be guaranteed that an air vehicle will be able to land before it can be allowed to take off. We first present a tractable model of urban air mobility networks that accounts for limited landing capacity and uncertain travel times between destinations with lower and upper travel time bounds. We then establish theoretical bounds on the achievable throughput of the network. Next, we present a tractable algorithm for scheduling trips to satisfy safety constraints and arrival deadlines. The algorithm allows for dynamically updating the schedule to accommodate, e.g., new demands over time. The paper concludes with case studies that demonstrate the algorithm on two networks.","url":"https://arxiv.org/abs/2107.02900v1","authors":["Qinshuang Wei","Gustav Nilsson","Samuel Coogan"],"tags":["math.OC","eess.SY"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2021-07-02T02:49:09Z","addedAt":"2026-08-06T22:48:46.008Z"},{"id":"arxiv:1606.08488v1","name":"Curating Transient Population in Urban Dynamics System","source":"arxiv","abstract":"For past several decades, research efforts in population modelling has proven its efficacy in understanding the basic information about residential and commercial areas, as well as for the purposes of planning, development and improvement of the community as an eco-system. More or less, such efforts assume static nature of population distribution, in turn limited by the current ability to capture the dynamics of population change at a finer resolution of space and time. Fast forward today, more and more people are becoming mobile, traveling across borders impacting the nuts and bolts of our urban fabric. Unfortunately, our current efforts are being surpassed by the need to capture such transient population. It is becoming imperative to identify and define them, as well as measure their dynamics and interconnectedness. In this work, we intend to research urban population mobility patterns, gauge their transient nature, and extend our knowledge of their visited locations. We plan to achieve this by designing and developing novel methods and using VGI data that models and characterizes transient population dynamics.","url":"https://arxiv.org/abs/1606.08488v1","authors":["Gautam S. Thakur","Kevin A. Sparks","Robert N. Stewart","Marie L. Urban","Budhendra L. Bhaduri"],"tags":["cs.SI","physics.soc-ph"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2016-06-27T21:13:55Z","addedAt":"2026-08-06T22:48:46.008Z"},{"id":"arxiv:2505.21880v2","name":"Incorporating LLMs for Large-Scale Urban Complex Mobility Simulation","source":"arxiv","abstract":"This study presents an innovative approach to urban mobility simulation by integrating a Large Language Model (LLM) with Agent-Based Modeling (ABM). Unlike traditional rule-based ABM, the proposed framework leverages LLM to enhance agent diversity and realism by generating synthetic population profiles, allocating routine and occasional locations, and simulating personalized routes. Using real-world data, the simulation models individual behaviors and large-scale mobility patterns in Taipei City. Key insights, such as route heat maps and mode-specific indicators, provide urban planners with actionable information for policy-making. Future work focuses on establishing robust validation frameworks to ensure accuracy and reliability in urban planning applications.","url":"https://arxiv.org/abs/2505.21880v2","authors":["Yu-Lun Song","Chung-En Tsern","Che-Cheng Wu","Yu-Ming Chang","Syuan-Bo Huang","Wei-Chu Chen","Michael Chia-Liang Lin","Yu-Ta Lin"],"tags":["cs.MA","cs.AI","cs.CL","cs.CY"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2025-05-28T01:54:28Z","addedAt":"2026-08-06T22:48:46.008Z"},{"id":"arxiv:2310.01900v1","name":"A Collaborative System of Systems Simulation of Urban Air Mobility","source":"arxiv","abstract":"The implementation of Urban Air Mobility represents a complex challenge in aviation due to the high degree of innovation required across various domains to realize it. From the use of advanced aircraft powered by novel technologies, the management of the air space to enable high density operations, to the operation of vertidromes serving as a start and end point of the flights, Urban Air Mobility paradigm necessitates significant innovation in many aspects of civil aviation as we know it today. In order to understand and assess the many facets of this new paradigm, a Collaborative Agent-Based Simulation is developed to holistically evaluate the System of Systems through the modeling of the stakeholders and their interactions as per the envisioned Concept of Operations. To this end, models of vertidrome air-side operations, unmanned/manned air space management, demand estimation and passenger mode choice, vehicle operator cost and revenues, vehicle design, and fleet management are brought together into a System of Systems Simulation of Urban Air Mobility. Through collaboration, higher fidelity models of each domain can be integrated into a single environment achieving fidelity levels not easily achievable otherwise. Furthermore, the integration enables the capture of cross-domain effects and allows domain-specific studies to be evaluated at a holistic level. This work demonstrates the Collaborative Simulation and the process of building it through the integration of several geographically distributed tools into an Agent-Based Simulation without the need for sharing code.","url":"https://arxiv.org/abs/2310.01900v1","authors":["Nabih Naeem","Patrick Ratei","Prajwal Shiva Prakasha","Lukas Asmer","Roman Jaksche","Henry Pak","Karolin Schweiger","Asija Velieva","Fares Naser","Majed Swaid","Jan Pertz","Malte Niklass"],"tags":["eess.SY"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2023-10-03T09:16:49Z","addedAt":"2026-08-06T22:48:46.008Z"},{"id":"arxiv:2309.10631v2","name":"Battery-Electric Powertrain System Design for the HorizonUAM Multirotor Air Taxi Concept","source":"arxiv","abstract":"The work presented herein has been conducted within the DLR internal research project HorizonUAM, which encompasses research within numerous areas related to urban air mobility. One of the project goals was to develop a safe and certifiable onboard system concept. This paper aims to present the conceptual propulsion system architecture design for an all-electric battery-powered multirotor electric Vertical Takeoff and Landing (eVTOL) vehicle. Therefore, a conceptual design method was developed that provides a structured approach for designing the safe multirotor propulsion architecture. Based on the concept of operation the powertrain system was initially predefined, iteratively refined based on the safety assessment and validated through component sizing and simulations. The analysis was conducted within three system groups that were developed in parallel: the drivetrain, the energy supply and the thermal management system. The design process indicated that a pure quadcopter propulsion system can merely be designed reasonably for meeting the European Union Aviation Safety Agency (EASA) reliability specifications. By adding two push propellers and implementing numerous safety as well as passivation measures the reliability specifications defined by EASA could finally be fulfilled. The subsequent system simulations also verified that the system architecture is capable of meeting the requirements of the vehicle concept of operations. However, further work is required to extend the safety analysis to additional system components as the thermal management system or the battery management system and to reduce propulsion system weight.","url":"https://arxiv.org/abs/2309.10631v2","authors":["Florian Jäger","Oliver Bertram","Sascha M. Lübbe","Alexander H. Bismark","Jan Rosenberg","Lukas Bartscht"],"tags":["eess.SY"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2023-09-19T14:15:02Z","addedAt":"2026-08-06T22:48:46.008Z"},{"id":"arxiv:2311.18047v1","name":"Validation of Collision Detection and Avoidance Methods for Urban Air Mobility through Simulation","source":"arxiv","abstract":"Urban Air Mobility is a new concept of regional aviation that has been growing in popularity as a solution to the issue of ever-increasing ground traffic. Electric vehicles with vertical take-off and landing capabilities are being developed by numerous market companies as a result of the push toward environmentally sustainable aviation. The next stage in the eVTOL development process would be to define the concept of operation of these conceptual aircraft and then to integrate them with the existing airspace once they are airborne. In addition to coordinating with conventional air traffic and other Urban Air Mobility (UAM) vehicles, collision avoidance with uncooperative airspace users has to be addressed. Birds and drones of all sizes could be dangerous for these low-flying aircraft. Innovative collision detection and avoidance techniques need to be employed due to the uncooperative nature of these airspace users and different performance characteristics of urban air mobility vehicles compared to classical fixed-wing aircraft. The aim of this study is to validate one such system by means of fast-time solutions. This system uses a decision tree and safety envelopes to prevent collisions with non-cooperative airspace members. The system is designed to work with different aircraft configurations used for Urban Air Mobility (UAM) operations. Various scenarios are modelled by varying intruder type, location, flight path among others. Changes in flight time and closest point of approach are assessed to evaluate the system with regard to safety and efficiency.","url":"https://arxiv.org/abs/2311.18047v1","authors":["Isha Panchal","Sophie F. Armanini","Isabel C. Metz"],"tags":["cs.HC"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2023-11-29T19:48:09Z","addedAt":"2026-08-06T22:48:46.008Z"},{"id":"arxiv:2103.14604v1","name":"Predicting Demand for Air Taxi Urban Aviation Services using Machine Learning Algorithms","source":"arxiv","abstract":"This research focuses on predicting the demand for air taxi urban air mobility (UAM) services during different times of the day in various geographic regions of New York City using machine learning algorithms (MLAs). Several ride-related factors (such as month of the year, day of the week and time of the day) and weather-related variables (such as temperature, weather conditions and visibility) are used as predictors for four popular MLAs, namely, logistic regression, artificial neural networks, random forests, and gradient boosting. Experimental results suggest gradient boosting to consistently provide higher prediction performance. Specific locations, certain time periods and weekdays consistently emerged as critical predictors.","url":"https://arxiv.org/abs/2103.14604v1","authors":["Suchithra Rajendran","Sharan Srinivas","Trenton Grimshaw"],"tags":["cs.LG","stat.AP"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2021-03-26T17:12:43Z","addedAt":"2026-08-06T22:48:46.008Z"},{"id":"arxiv:2510.08598v1","name":"Mapping Socio-Economic Divides with Urban Mobility Data","source":"arxiv","abstract":"The massive digital footprints generated by bike-sharing systems in megacities like Shanghai offer a novel perspective on the urban socio-economic fabric. This study investigates whether these daily mobility patterns can quantitatively map the city's underlying social stratification. To overcome the persistent challenge of acquiring fine-grained socio-economic data, we constructed a multi-layered analytical dataset. We annotated 2,000 raw bike trips with local economic attributes, derived from a novel data enrichment methodology that employs a Large Language Model (LLM), and integrated contextual features of the built environment. A Random Forest model was then utilized as an interpretable framework to determine the key factors governing the relationship between mobility behavior and local economic status. The analysis reveals a compelling and unambiguous finding: a neighborhood's economic level, proxied by housing prices, is the single most dominant predictor of its bike-sharing patterns, substantially outweighing other geographic or temporal factors. This economic determinism manifests in three distinct ways: (1) a spatial clustering of resources, a phenomenon we term the \\textit{club effect}, which concentrates mobility infrastructure and usage in affluent areas; (2) a functional dichotomy between necessity-driven, utilitarian usage in lower-income zones and flexible, recreational usage in wealthier ones; and (3) a nuanced inverted U-shaped adoption curve that identifies the urban middle class as the system's primary user base.","url":"https://arxiv.org/abs/2510.08598v1","authors":["Yingche Liu","Mengyang Li"],"tags":["physics.soc-ph","stat.AP"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2025-10-06T05:15:13Z","addedAt":"2026-08-06T22:48:46.008Z"},{"id":"arxiv:2602.20643v1","name":"TrajGPT-R: Generating Urban Mobility Trajectory with Reinforcement Learning-Enhanced Generative Pre-trained Transformer","source":"arxiv","abstract":"Mobility trajectories are essential for understanding urban dynamics and enhancing urban planning, yet access to such data is frequently hindered by privacy concerns. This research introduces a transformative framework for generating large-scale urban mobility trajectories, employing a novel application of a transformer-based model pre-trained and fine-tuned through a two-phase process. Initially, trajectory generation is conceptualized as an offline reinforcement learning (RL) problem, with a significant reduction in vocabulary space achieved during tokenization. The integration of Inverse Reinforcement Learning (IRL) allows for the capture of trajectory-wise reward signals, leveraging historical data to infer individual mobility preferences. Subsequently, the pre-trained model is fine-tuned using the constructed reward model, effectively addressing the challenges inherent in traditional RL-based autoregressive methods, such as long-term credit assignment and handling of sparse reward environments. Comprehensive evaluations on multiple datasets illustrate that our framework markedly surpasses existing models in terms of reliability and diversity. Our findings not only advance the field of urban mobility modeling but also provide a robust methodology for simulating urban data, with significant implications for traffic management and urban development planning. The implementation is publicly available at https://github.com/Wangjw6/TrajGPT_R.","url":"https://arxiv.org/abs/2602.20643v1","authors":["Jiawei Wang","Chuang Yang","Jiawei Yong","Xiaohang Xu","Hongjun Wang","Noboru Koshizuka","Shintaro Fukushima","Ryosuke Shibasaki","Renhe Jiang"],"tags":["cs.LG","cs.AI"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2026-02-24T07:44:19Z","addedAt":"2026-08-06T22:48:46.008Z"},{"id":"arxiv:2409.02120v1","name":"Machine Learning Framework for High-Resolution Air Temperature Downscaling Using LiDAR-Derived Urban Morphological Features","source":"arxiv","abstract":"Climate models lack the necessary resolution for urban climate studies, requiring computationally intensive processes to estimate high resolution air temperatures. In contrast, Data-driven approaches offer faster and more accurate air temperature downscaling. This study presents a data-driven framework for downscaling air temperature using publicly available outputs from urban climate models, specifically datasets generated by UrbClim. The proposed framework utilized morphological features extracted from LiDAR data. To extract urban morphological features, first a three-dimensional building model was created using LiDAR data and deep learning models. Then, these features were integrated with meteorological parameters such as wind, humidity, etc., to downscale air temperature using machine learning algorithms. The results demonstrated that the developed framework effectively extracted urban morphological features from LiDAR data. Deep learning algorithms played a crucial role in generating three-dimensional models for extracting the aforementioned features. Also, the evaluation of air temperature downscaling results using various machine learning models indicated that the LightGBM model had the best performance with an RMSE of 0.352°K and MAE of 0.215°K. Furthermore, the examination of final air temperature maps derived from downscaling showed that the developed framework successfully estimated air temperatures at higher resolutions, enabling the identification of local air temperature patterns at street level. The corresponding source codes are available on GitHub: https://github.com/FatemehCh97/Air-Temperature-Downscaling.","url":"https://arxiv.org/abs/2409.02120v1","authors":["Fatemeh Chajaei","Hossein Bagheri"],"tags":["physics.ao-ph","cs.LG"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2024-08-31T12:59:21Z","addedAt":"2026-08-06T22:48:46.008Z"},{"id":"arxiv:2507.01610v1","name":"Sphereabout: A Spherical Intersection Design for Networked Urban Air Mobility","source":"arxiv","abstract":"Urban aerial mobility is rapidly expanding, specifically on-demand Unmanned Aerial Vehicle (UAV) delivery services in urban environments. This necessitates management of the low-altitude airspace network to ensure smooth and safe traffic throughput. This study introduces a novel three-dimensional aerial network design inspired by a terrestrial transportation graph network for UAV networked mobility. Utilizing two-way tube corridors for node-to-node delivery and a spherical roundabout model, as \"Sphereabout\", to optimize the traffic flow through the spherical intersection. Through this architecture, three-dimensional conflict-free air mobility management can be achieved via numerical experiments and utilizing the geometrical features of this intersection.","url":"https://arxiv.org/abs/2507.01610v1","authors":["Farzan Moosavi","Bilal Farooq"],"tags":["math.OC"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2025-07-02T11:25:08Z","addedAt":"2026-08-06T22:48:46.008Z"},{"id":"arxiv:2309.12680v1","name":"Can Urban Air Mobility become reality? Opportunities, challenges and selected research results","source":"arxiv","abstract":"Urban Air Mobility (UAM) is a new air transportation system for passengers and cargo in urban environments, enabled by new technologies and integrated into multimodal transportation systems. The vision of UAM comprises the mass use in urban and suburban environments, complementing existing transportation systems and contributing to the decarbonization of the transport sector. Initial attempts to create a market for urban air transportation in the last century failed due to lack of profitability and community acceptance. Technological advances in numerous fields over the past few decades have led to a renewed interest in urban air transportation. UAM is expected to benefit users and to also have a positive impact on the economy by creating new markets and employment opportunities for manufacturing and operation of UAM vehicles and the construction of related ground infrastructure. However, there are also concerns about noise, safety and security, privacy and environmental impacts. Therefore, the UAM system needs to be designed carefully to become safe, affordable, accessible, environmentally friendly, economically viable and thus sustainable. This paper provides an overview of selected key research topics related to UAM and how the German Aerospace Center (DLR) contributed to this research in the project \"HorizonUAM - Urban Air Mobility Research at the German Aerospace Center (DLR)\". Selected research results that support the realization of the UAM vision are briefly presented.","url":"https://arxiv.org/abs/2309.12680v1","authors":["Henry Pak","Lukas Asmer","Petra Kokus","Bianca I. Schuchardt","Albert End","Frank Meller","Karolin Schweiger","Christoph Torens","Carolina Barzantny","Dennis Becker","Johannes Maria Ernst","Florian Jäger","Tim Laudien","Nabih Naeem","Anne Papenfuß","Jan Pertz","Prajwal Shiva Prakasha","Patrick Ratei","Fabian Reimer","Patrick Sieb","Chen Zhu"],"tags":["eess.SY"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2023-09-22T07:37:45Z","addedAt":"2026-08-06T22:48:46.008Z"},{"id":"arxiv:2301.09758v1","name":"A deep reinforcement learning approach to assess the low-altitude airspace capacity for urban air mobility","source":"arxiv","abstract":"Urban air mobility is the new mode of transportation aiming to provide a fast and secure way of travel by utilizing the low-altitude airspace. This goal cannot be achieved without the implementation of new flight regulations which can assure safe and efficient allocation of flight paths to a large number of vertical takeoff/landing aerial vehicles. Such rules should also allow estimating the effective capacity of the low-altitude airspace for planning purposes. Path planning is a vital subject in urban air mobility which could enable a large number of UAVs to fly simultaneously in the airspace without facing the risk of collision. Since urban air mobility is a novel concept, authorities are still working on the redaction of new flight rules applicable to urban air mobility. In this study, an autonomous UAV path planning framework is proposed using a deep reinforcement learning approach and a deep deterministic policy gradient algorithm. The objective is to employ a self-trained UAV to reach its destination in the shortest possible time in any arbitrary environment by adjusting its acceleration. It should avoid collisions with any dynamic or static obstacles and avoid entering prior permission zones existing on its path. The reward function is the determinant factor in the training process. Thus, two different reward function compositions are compared and the chosen composition is deployed to train the UAV by coding the RL algorithm in python. Finally, numerical simulations investigated the success rate of UAVs in different scenarios providing an estimate of the effective airspace capacity.","url":"https://arxiv.org/abs/2301.09758v1","authors":["Asal Mehditabrizi","Mahdi Samadzad","Sina Sabzekar"],"tags":["cs.RO","cs.AI","eess.SP"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2023-01-23T23:38:05Z","addedAt":"2026-08-06T22:48:46.008Z"},{"id":"arxiv:2503.17371v2","name":"A Review of Urban Resilience Frameworks: Transferring Knowledge to Enhance Pandemic Resilience","source":"arxiv","abstract":"Urbanization is rapidly increasing, with urban populations expected to grow significantly by 2050, particularly in developing regions. This expansion brings challenges related to chronic stresses and acute shocks, such as the COVID-19 pandemic, which has underscored the critical role of urban form in a city's capacity to manage public health crises. Despite the heightened interest in urban resilience, research examining the relationship between urban morphology and pandemic resilience remains limited, often focusing solely on density and its effect on disease transmission. This work aims to address this gap by evaluating existing frameworks that analyze the relationship between urban resilience and urban form. By critically reviewing these frameworks, with a particular emphasis on theoretical and quantitative approaches, this study seeks to transfer the knowledge gained to better understand the relationship between pandemic resilience and urban morphology. The work also links theoretical ideas with quantitative frameworks, offering a cohesive analysis. The anticipated novelty of this study lies in its comprehensive assessment of urban resilience frameworks and the identification of the current gaps in integrating resilience to pandemic thinking into urban planning and design. The goal is not only to enhance the understanding of urban resilience but also to offer practical guidance for developing more adaptive and effective frameworks for assessing resilience to pandemics in urban environments, thereby preparing cities to better withstand and recover from future crises.","url":"https://arxiv.org/abs/2503.17371v2","authors":["Yue Sun","Ryan Weightman","Anye Shi","Timur Dogan","Samitha Samaranayake"],"tags":["physics.soc-ph"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2025-03-11T21:59:42Z","addedAt":"2026-08-06T22:48:46.008Z"},{"id":"arxiv:2510.18235v1","name":"Urban Air Mobility: A Review of Recent Advances in Communication, Management, and Sustainability","source":"arxiv","abstract":"Urban Air Mobility (UAM) offers a transformative approach to addressing urban congestion, improving accessibility, and advancing environmental sustainability. Rapid progress has emerged in three tightly linked domains since 2020: (1) Communication, where dynamic spectrum allocation and low-altitude channel characterization support reliable air-ground data exchange; (2) UAM management, with novel air-traffic control concepts for dense, largely autonomous urban airspace; and (3) Sustainability, driven by energy-efficient propulsion, integrated charging infrastructure, and holistic environmental assessment. This paper reviews and synthesizes the latest research across these areas, compares the state-of-the-art solutions, and outlines the technological and infrastructural milestones that are critical to realizing a scalable, sustainable UAM ecosystem.","url":"https://arxiv.org/abs/2510.18235v1","authors":["Zhitong He","Zijing Wang","Lingxi Li"],"tags":["eess.SY"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2025-10-21T02:45:25Z","addedAt":"2026-08-06T22:48:46.008Z"},{"id":"arxiv:2309.07139v2","name":"A Traffic Management Framework for On-Demand Urban Air Mobility Systems","source":"arxiv","abstract":"Urban Air Mobility (UAM) offers a solution to current traffic congestion by providing on-demand air mobility in urban areas. Effective traffic management is crucial for efficient operation of UAM systems, especially for high-demand scenarios. In this paper, we present a centralized traffic management framework for on-demand UAM systems. Specifically, we provide a scheduling policy, called VertiSync, which schedules the aircraft for either servicing trip requests or rebalancing in the system subject to aircraft safety margins and energy requirements. We characterize the system-level throughput of VertiSync, which determines the demand threshold at which passenger waiting times transition from being stabilized to being increasing over time. We show that the proposed policy is able to maximize throughput for sufficiently large fleet sizes. We demonstrate the performance of VertiSync through a case study for the city of Los Angeles, and show that it significantly reduces passenger waiting times compared to a first-come first-serve scheduling policy.","url":"https://arxiv.org/abs/2309.07139v2","authors":["Milad Pooladsanj","Ketan Savla","Petros A. Ioannou"],"tags":["cs.NI","cs.MA","cs.RO","eess.SY","math.OC","math.PR"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2023-09-01T16:19:27Z","addedAt":"2026-08-06T22:48:46.008Z"},{"id":"arxiv:2006.10526v2","name":"The effect of adaptive mobility policy to the spread of COVID-19 in urban environment: intervention analysis of Seoul, South Korea","source":"arxiv","abstract":"Although severe mobility restrictions are recognized as the key enabler to contain COVID-19, there has been few scientific studies to validate such approach, especially in urban context. This study analyzes mobility pattern changes in Seoul, South Korea that adopted adaptive approach toward mobility. Intervention analyses reveal that major mobility reduction did occur two weeks before the city's case peak. Such voluntary adjustments exhibit strong preference shift toward private mode from public transit. Large reductions occurred in non-essential and high-contact activities of shopping and dining, while work and Starbucks trips were less affected. The collective evaluation reveal that major changes in epidemiology, mobility and policy occurred simultaneously, with no lagging nor leading contributors. Our study demonstrates that collective understanding the mutual aspects among mobility, epidemiology and policy is essential. Incremental and flexible mobility restriction is not only possible but necessary, especially for a pandemic of extensive spatial and temporal scales.","url":"https://arxiv.org/abs/2006.10526v2","authors":["Yoonjin Yoon","Soohwan Oh","Jungwoo Cho","Yuyol Shin","Seyun Kim","Namwoo Kim","Haechan Cho"],"tags":["physics.soc-ph"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2020-06-12T05:13:42Z","addedAt":"2026-08-06T22:48:46.008Z"},{"id":"arxiv:2308.09075v1","name":"Fast Decision Support for Air Traffic Management at Urban Air Mobility Vertiports using Graph Learning","source":"arxiv","abstract":"Urban Air Mobility (UAM) promises a new dimension to decongested, safe, and fast travel in urban and suburban hubs. These UAM aircraft are conceived to operate from small airports called vertiports each comprising multiple take-off/landing and battery-recharging spots. Since they might be situated in dense urban areas and need to handle many aircraft landings and take-offs each hour, managing this schedule in real-time becomes challenging for a traditional air-traffic controller but instead calls for an automated solution. This paper provides a novel approach to this problem of Urban Air Mobility - Vertiport Schedule Management (UAM-VSM), which leverages graph reinforcement learning to generate decision-support policies. Here the designated physical spots within the vertiport's airspace and the vehicles being managed are represented as two separate graphs, with feature extraction performed through a graph convolutional network (GCN). Extracted features are passed onto perceptron layers to decide actions such as continue to hover or cruise, continue idling or take-off, or land on an allocated vertiport spot. Performance is measured based on delays, safety (no. of collisions) and battery consumption. Through realistic simulations in AirSim applied to scaled down multi-rotor vehicles, our results demonstrate the suitability of using graph reinforcement learning to solve the UAM-VSM problem and its superiority to basic reinforcement learning (with graph embeddings) or random choice baselines.","url":"https://arxiv.org/abs/2308.09075v1","authors":["Prajit KrisshnaKumar","Jhoel Witter","Steve Paul","Hanvit Cho","Karthik Dantu","Souma Chowdhury"],"tags":["cs.MA","cs.AI","cs.LG","cs.RO"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2023-08-17T16:05:44Z","addedAt":"2026-08-06T22:48:46.008Z"},{"id":"arxiv:2505.00690v1","name":"Towards Autonomous Micromobility through Scalable Urban Simulation","source":"arxiv","abstract":"Micromobility, which utilizes lightweight mobile machines moving in urban public spaces, such as delivery robots and mobility scooters, emerges as a promising alternative to vehicular mobility. Current micromobility depends mostly on human manual operation (in-person or remote control), which raises safety and efficiency concerns when navigating busy urban environments full of unpredictable obstacles and pedestrians. Assisting humans with AI agents in maneuvering micromobility devices presents a viable solution for enhancing safety and efficiency. In this work, we present a scalable urban simulation solution to advance autonomous micromobility. First, we build URBAN-SIM - a high-performance robot learning platform for large-scale training of embodied agents in interactive urban scenes. URBAN-SIM contains three critical modules: Hierarchical Urban Generation pipeline, Interactive Dynamics Generation strategy, and Asynchronous Scene Sampling scheme, to improve the diversity, realism, and efficiency of robot learning in simulation. Then, we propose URBAN-BENCH - a suite of essential tasks and benchmarks to gauge various capabilities of the AI agents in achieving autonomous micromobility. URBAN-BENCH includes eight tasks based on three core skills of the agents: Urban Locomotion, Urban Navigation, and Urban Traverse. We evaluate four robots with heterogeneous embodiments, such as the wheeled and legged robots, across these tasks. Experiments on diverse terrains and urban structures reveal each robot's strengths and limitations.","url":"https://arxiv.org/abs/2505.00690v1","authors":["Wayne Wu","Honglin He","Chaoyuan Zhang","Jack He","Seth Z. Zhao","Ran Gong","Quanyi Li","Bolei Zhou"],"tags":["cs.CV","cs.AI","cs.RO"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2025-05-01T17:52:29Z","addedAt":"2026-08-06T22:48:46.008Z"},{"id":"arxiv:2310.00135v1","name":"Alpha-Fair Routing in Urban Air Mobility with Risk-Aware Constraints","source":"arxiv","abstract":"In the vision of urban air mobility, air transport systems serve the demands of urban communities by routing flight traffic in networks formed by vertiports and flight corridors. We develop a routing algorithm to ensure that the air traffic flow fairly serves the demand of multiple communities subject to stochastic network capacity constraints. This algorithm guarantees that the flight traffic volume allocated to different communities satisfies the \\emph{alpha-fairness conditions}, a commonly used family of fairness conditions in resource allocation. It further ensures robust satisfaction of stochastic network capacity constraints by bounding the coherent risk measures of capacity violation. We prove that implementing the proposed algorithm is equivalent to solving a convex optimization problem. We demonstrate the proposed algorithm using a case study based on the city of Austin. Compared with one that maximizes the total served demands, the proposed algorithm promotes even distributions of served demands for different communities.","url":"https://arxiv.org/abs/2310.00135v1","authors":["Yue Yu","Zhenyu Gao","Sarah H. Q. Li","Qinshuang Wei","John-Paul Clarke","Ufuk Topcu"],"tags":["math.OC"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2023-09-29T20:50:12Z","addedAt":"2026-08-06T22:48:46.008Z"},{"id":"arxiv:2301.12961v8","name":"A Framework for Operational Volume Generation for Urban Air Mobility Strategic Deconfliction","source":"arxiv","abstract":"Strategic pre-flight functions focus on the planning and deconfliction of routes for aircraft systems. The urban air mobility concept calls for higher levels of autonomy with onboard and en route functions but also strategic and pre-flight systems. Existing endeavours into strategic pre-flight functions focus on improving the route generation and strategic deconfliction of these routes. Introduced with the urban air mobility concept is the premise of operational volumes. These 4D regions of airspace, describe the intended operational region for an aircraft for finite time. Chaining these together forms a contract of finite operational volumes over a given route. It is no longer enough to only deconflict routes within the airspace, but to now consider these 4D operational volumes. To provide an effective all-in-one approach, we propose a novel framework for generating routes and accompanying contracts of operational volumes, along with deconfliction focused around 4D operational volumes. Experimental results show efficiency of operational volume generation utilising reachability analysis and demonstrate sufficient success in deconfliction of operational volumes.","url":"https://arxiv.org/abs/2301.12961v8","authors":["Ellis Lee Thompson","Yan Xu","Peng Wei"],"tags":["cs.OH","eess.SY"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2023-01-26T22:20:12Z","addedAt":"2026-08-06T22:48:46.008Z"},{"id":"arxiv:1710.04119v1","name":"Proposal of a Carsharing System to Improve Urban Mobility","source":"arxiv","abstract":"Carsharing is a model of renting vehicles for short periods of time, where the payment is made according to the time and distance effectively traveled. Carsharing offers a simple, economical and smart alternative to urban mobility, that is already being adopted in the major cities in the world. The proposed methodology consisted in the development of a decision support system that simplifies the process of choosing carsharing services. Adopting the AHP method, the user can indicate their preferences in the choice of vehicles, and the system returns an ordered list of the most suitable available vehicles based on their geographic location. The findings of the project indicate that the use of this system encourage and simplify the use of carsharing services, which will allow to enhance the financial, mobility and environment advantages inherent to their use.","url":"https://arxiv.org/abs/1710.04119v1","authors":["Fernando Almeida","Pedro Silva","Joao Leite"],"tags":["cs.CY"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2017-09-18T11:50:33Z","addedAt":"2026-08-06T22:48:46.008Z"},{"id":"arxiv:2509.18505v1","name":"Optimization-Guided Exploration of Advanced Air Mobility Congestion Management Strategies with Stochastic Demands","source":"arxiv","abstract":"Advanced Air Mobility (AAM) represents an evolution of the air transportation system by introducing low-altitude, potentially high-traffic environments. AAM operations will be enabled by both new aircraft, as well as new safety- and efficiency-critical supporting infrastructure. Published concepts of operations from both public and private sector entities establish notions such as federated management of the airspace and public-private partnerships for AAM air traffic, but there is a gap in the literature in terms of integrated tools that consider all three critical elements: AAM fleet operators (\\emph{lower} layer), airspace service providers (\\emph{middle} layer), and overall system governance from the legacy air navigation service provider (\\emph{upper} layer). In this work, we explore modeling congestion management within the AAM setting using a bi-level optimization approach, focusing on (1) time-varying, stochastic AAM demand, (2) differing congestion management strategies, and (3) the impact of unscheduled, \\enquote{pop-up} demand. We show that our bi-level formulation can be tractably solved using a Neural Network-based surrogate which returns solution qualities within 0.1-5.2\\% of the optimal solution. Additionally, we show that our congestion management strategies can reduce congestion by 25.7-39.8\\% when compared to the scenario of no strategies being applied. Finally, we also show that while pop-up demand degrades congestion conditions, our congestion management strategies fare better against pop-up demand than the no strategy scenario. The work herein contributes a rigorous modeling and simulation tool to help evaluate future AAM traffic management concepts and strategies.","url":"https://arxiv.org/abs/2509.18505v1","authors":["Haochen Wu","Lesley A. Weitz","Jeffrey M. Henderson","Max Z. Li"],"tags":["math.OC"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2025-09-23T01:12:49Z","addedAt":"2026-08-06T22:48:46.008Z"},{"id":"arxiv:2308.13022v1","name":"Experimental Evaluation of Bird Strikes in Urban Air Mobility","source":"arxiv","abstract":"Advanced mobility concepts such as Urban Air Mobility are emerging in full swing. In that concept, a safe and efficient aviation transportation system will use highly automated aircraft that will transport passengers or cargo at low altitudes within and between metropolitan regions. To accomplish these missions, new types of aircraft which are sometimes known as air taxis are being developed. A successful integration of these aircraft into existing airspace is complicated and needs to take into account various aspects. One of these is the risk of wildlife strikes which is predicted to be higher in case of air taxis. The proposed operational cruising altitude of air taxis is lower resulting in higher probability of collision as these are the altitudes where birds typically fly. Additionally, air taxis are smaller in size and have lower certification requirements compared to conventional aircraft. As a result, the severity of damaging bird strikes is higher. To assess the risk and formulate suitable regulations, an extensive analysis is required providing more quantitative insight into the bird strike challenge. Therefore, a theoretical model of bird strike to quantify the impact force by considering different bird and aircraft related parameters was developed previously. This paper aims to validate this theoretical model experimentally. It presents a methodology for implementing an experimental setup, allowing for the theoretical impact force model to be fully validated. A test matrix containing seven test cases, nine test scenarios and 135 iterations is formulated to conduct the bird strike experiment and the influencing parameters are considered for theoretical model verification. The paper closes with the presentation of the experimental results for validating the theoretical model which indicate 92.89 % conformance of experimental results with the theoretical model.","url":"https://arxiv.org/abs/2308.13022v1","authors":["Aditya Devta","Isabel C. Metz","Sophie F. Armanini"],"tags":["eess.SY"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2023-08-23T06:09:14Z","addedAt":"2026-08-06T22:48:46.008Z"},{"id":"arxiv:2410.17572v1","name":"Ultra-reliable urban air mobility networks","source":"arxiv","abstract":"Recently, urban air mobility (UAM) has attracted attention as an emerging technology that will bring innovation to urban transportation and aviation systems. Since the UAM systems pursue fully autonomous flight without a pilot, wireless communication is a key function not only for flight control signals, but also for navigation and safety information. The essential information is called a command and control (C2) message, and the UAM networks must be configured so that the UAM can receive the C2 message by securing a continuous link stability without any interruptions. Nevertheless, a lot of prior works have focused only on improving the average performance without solving the low-reliability in the cell edges and coverage holes of urban areas. In this dissertation, we identify the factors that hinder the communication link reliability in considering three-dimensional (3D) urban environments, and propose a antenna configuration, resource utilization, and transmission strategy to enable UAM receiving C2 messages regardless of time and space. First, through stochastic geometry modeling, we analyze the signal blockage effects caused by the urban buildings. The blockage probability is calculated according to the shape, height, and density of the buildings, and the coverage probability of the received signal is derived by reflecting the blockage events. Furthermore, the low-reliability area is identified by analyzing the coverage performance according to the positions of the UAMs. To overcome the low-reliability region, we propose three methods for UAM network operation: i) optimization of antennas elevation tilting, ii) frequency reuse with multi-layered narrow beam, and iii) assistive transmissions by the master UAM.","url":"https://arxiv.org/abs/2410.17572v1","authors":["Hyunsoo Kim"],"tags":["cs.NI","eess.SP"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2024-10-23T05:49:42Z","addedAt":"2026-08-06T22:48:46.008Z"},{"id":"arxiv:2603.05581v1","name":"Spatiotemporal Heterogeneity of AI-Driven Traffic Flow Patterns and Land Use Interaction: A GeoAI-Based Analysis of Multimodal Urban Mobility","source":"arxiv","abstract":"Urban traffic flow is governed by the complex, nonlinear interaction between land use configuration and spatiotemporally heterogeneous mobility demand. Conventional global regression and time-series models cannot simultaneously capture these multi-scale dynamics across multiple travel modes. This study proposes a GeoAI Hybrid analytical framework that sequentially integrates Multiscale Geographically Weighted Regression (MGWR), Random Forest (RF), and Spatio-Temporal Graph Convolutional Networks (ST-GCN) to model the spatiotemporal heterogeneity of traffic flow patterns and their interaction with land use across three mobility modes: motor vehicle, public transit, and active transport. Applying the framework to an empirically calibrated dataset of 350 traffic analysis zones across six cities spanning two contrasting urban morphologies, four key findings emerge: (i) the GeoAI Hybrid achieves a root mean squared error (RMSE) of 0.119 and an R^2 of 0.891, outperforming all benchmarks by 23-62%; (ii) SHAP analysis identifies land use mix as the strongest predictor for motor vehicle flows and transit stop density as the strongest predictor for public transit; (iii) DBSCAN clustering identifies five functionally distinct urban traffic typologies with a silhouette score of 0.71, and GeoAI Hybrid residuals exhibit Moran's I=0.218 (p&lt;0.001), a 72% reduction relative to OLS baselines; and (iv) cross-city transfer experiments reveal moderate within-cluster transferability (R^2&gt;=0.78) and limited cross-cluster generalisability, underscoring the primacy of urban morphological context. The framework offers planners and transportation engineers an interpretable, scalable toolkit for evidence-based multimodal mobility management and land use policy design.","url":"https://arxiv.org/abs/2603.05581v1","authors":["Olaf Yunus Laitinen Imanov"],"tags":["cs.LG","cs.AI","eess.SP"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2026-03-05T18:45:44Z","addedAt":"2026-08-06T22:48:46.008Z"},{"id":"arxiv:2012.15387v2","name":"Indoor Air Quality Improvement","source":"arxiv","abstract":"Poor indoor air quality can contribute to the development of various chronic respiratory diseases such as asthma, heart disease, and lung cancer. Since air quality is extremely difficult for humans to detect though sensory processing, there is a need for efficient ventilation systems that can provide a healthier environment. In this paper, we have designed an energy efficient ventilation system that predicts sensor occupancy patterns based on historical data to improve indoor air quality.","url":"https://arxiv.org/abs/2012.15387v2","authors":["Ajinkya Gawade","Aniket Sanap","Vishal Baviskar","Ryan Jahnige","Qingquan Zhang","Ting Zhu"],"tags":["eess.SY"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2020-12-31T01:12:27Z","addedAt":"2026-08-06T22:48:46.008Z"},{"id":"arxiv:2511.11854v1","name":"Conflict-Free Flight Scheduling Using Strategic Demand Capacity Balancing for Urban Air Mobility Operations","source":"arxiv","abstract":"In this paper, we propose a conflict-free multi- agent flight scheduling that ensures robust separation in con- strained airspace for Urban Air Mobility (UAM) operations application. First, we introduce Pairwise Conflict Avoidance (PCA) based on delayed departures, leveraging kinematic principles to maintain safe distances. Next, we expand PCA to multi-agent scenarios, formulating an optimization approach that systematically determines departure times under increasing traffic densities. Performance metrics, such as average delay, assess the effectiveness of our solution. Through numerical simulations across diverse multi-agent environments and real- world UAM use cases, our method demonstrates a significant reduction in total delay while ensuring collision-free operations. This approach provides a scalable framework for emerging urban air mobility systems.","url":"https://arxiv.org/abs/2511.11854v1","authors":["Vahid Hemmati","Yonas Ayalew","Ahmad Mohammadi","Reza Ahmari","Parham Kebria","Abdollah Homaifar","Mehrdad Saif"],"tags":["cs.MA","math.NA"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2025-11-14T20:17:55Z","addedAt":"2026-08-06T22:48:46.008Z"},{"id":"arxiv:2505.00368v1","name":"Urban Air Mobility as a System of Systems: An LLM-Enhanced Holonic Approach","source":"arxiv","abstract":"Urban Air Mobility (UAM) is an emerging System of System (SoS) that faces challenges in system architecture, planning, task management, and execution. Traditional architectural approaches struggle with scalability, adaptability, and seamless resource integration within dynamic and complex environments. This paper presents an intelligent holonic architecture that incorporates Large Language Model (LLM) to manage the complexities of UAM. Holons function semi autonomously, allowing for real time coordination among air taxis, ground transport, and vertiports. LLMs process natural language inputs, generate adaptive plans, and manage disruptions such as weather changes or airspace closures.Through a case study of multimodal transportation with electric scooters and air taxis, we demonstrate how this architecture enables dynamic resource allocation, real time replanning, and autonomous adaptation without centralized control, creating more resilient and efficient urban transportation networks. By advancing decentralized control and AI driven adaptability, this work lays the groundwork for resilient, human centric UAM ecosystems, with future efforts targeting hybrid AI integration and real world validation.","url":"https://arxiv.org/abs/2505.00368v1","authors":["Ahmed R. Sadik","Muhammad Ashfaq","Niko Mäkitalo","Tommi Mikkonen"],"tags":["cs.AI","cs.ET","cs.MA","cs.RO"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2025-05-01T07:39:11Z","addedAt":"2026-08-06T22:48:46.008Z"},{"id":"arxiv:2306.04137v1","name":"Multi-Agent Reinforcement Learning for Cooperative Air Transportation Services in City-Wide Autonomous Urban Air Mobility","source":"arxiv","abstract":"The development of urban-air-mobility (UAM) is rapidly progressing with spurs, and the demand for efficient transportation management systems is a rising need due to the multifaceted environmental uncertainties. Thus, this paper proposes a novel air transportation service management algorithm based on multi-agent deep reinforcement learning (MADRL) to address the challenges of multi-UAM cooperation. Specifically, the proposed algorithm in this paper is based on communication network (CommNet) method utilizing centralized training and distributed execution (CTDE) in multiple UAMs for providing efficient air transportation services to passengers collaboratively. Furthermore, this paper adopts actual vertiport maps and UAM specifications for constructing realistic air transportation networks. By evaluating the performance of the proposed algorithm in data-intensive simulations, the results show that the proposed algorithm outperforms existing approaches in terms of air transportation service quality. Furthermore, there are no inferior UAMs by utilizing parameter sharing in CommNet and a centralized critic network in CTDE. Therefore, it can be confirmed that the research results in this paper can provide a promising solution for autonomous air transportation management systems in city-wide urban areas.","url":"https://arxiv.org/abs/2306.04137v1","authors":["Chanyoung Park","Gyu Seon Kim","Soohyun Park","Soyi Jung","Joongheon Kim"],"tags":["cs.MA","eess.SY"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2023-06-07T04:21:08Z","addedAt":"2026-08-06T22:48:46.008Z"},{"id":"arxiv:2408.15009v3","name":"Extended Road-Aware Line-of-Sight Probability Model for Urban Air Mobility","source":"arxiv","abstract":"As urban air mobility (UAM) emerges as a transformative solution to urban transportation, the demand for robust communication frameworks capable of supporting high-density aerial traffic becomes increasingly critical. An essential area of communications improvement is reliably characterizing and minimizing interference on UAM aircraft from other aircraft and ground vehicles. To achieve this, accurate line-of-sight (LOS) models must be used. In this work, we highlight the limitations of a LOS probability model extensively used in the literature in accurately predicting interference caused by ground vehicles. Then, we introduce a modified probability of LOS model that improves interference prediction by incorporating the urban topography and the dynamic positioning of ground vehicles on streets. Our model's parameters are derived from extensive simulations and validated through real-world urban settings to ensure reliability and applicability.","url":"https://arxiv.org/abs/2408.15009v3","authors":["Abdullah Abu Zaid","Baha Eddine Youcef Belmekki","Mohamed-Slim Alouini"],"tags":["eess.SP"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2024-08-27T12:44:14Z","addedAt":"2026-08-06T22:48:46.008Z"},{"id":"arxiv:2410.11231v1","name":"Routing and Scheduling Optimization for Urban Air Mobility Fleet Management using Quantum Annealing","source":"arxiv","abstract":"The growing integration of urban air mobility (UAM) for urban transportation and delivery has accelerated due to increasing traffic congestion and its environmental and economic repercussions. Efficiently managing the anticipated high-density air traffic in cities is critical to ensure safe and effective operations. In this study, we propose a routing and scheduling framework to address the needs of a large fleet of UAM vehicles operating in urban areas. Using mathematical optimization techniques, we plan efficient and deconflicted routes for a fleet of vehicles. Formulating route planning as a maximum weighted independent set problem enables us to utilize various algorithms and specialized optimization hardware, such as quantum annealers, which has seen substantial progress in recent years. Our method is validated using a traffic management simulator tailored for the airspace in Singapore. Our approach enhances airspace utilization by distributing traffic throughout a region. This study broadens the potential applications of optimization techniques in UAM traffic management.","url":"https://arxiv.org/abs/2410.11231v1","authors":["Renichiro Haba","Takuya Mano","Ryosuke Ueda","Genichiro Ebe","Kohei Takeda","Masayoshi Terabe","Masayuki Ohzeki"],"tags":["quant-ph","cond-mat.stat-mech","cs.RO"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2024-10-15T03:27:52Z","addedAt":"2026-08-06T22:48:46.008Z"},{"id":"arxiv:2206.13017v1","name":"Safe Schedule Verification for Urban Air Mobility Networks with Node Closures","source":"arxiv","abstract":"In Urban Air Mobility (UAM) networks, takeoff and landing sites, called vertiports, are likely to experience intermittent closures due to, e.g., adverse weather. To ensure safety, all in-flight Urban Air Vehicles (UAVs) in a UAM network must therefore have alternative landing sites with sufficient landing capacity in the event of a vertiport closure. In this paper, we study the problem of safety verification of UAM schedules in the face of vertiport closures. We first provide necessary and sufficient conditions for a given UAM schedule to be safe in the sense that, if a vertiport closure occurs, then all UAVs will be able to safely land at a backup landing site. Next, we convert these conditions to an efficient algorithm for verifying safety of a UAM schedule via a linear program by using properties of totally unimodular matrices. Our algorithm allows for uncertain travel time between UAM vertiports and scales quadratically with the number of scheduled UAVs. We demonstrate our algorithm on a UAM network with up to 1,000 UAVs.","url":"https://arxiv.org/abs/2206.13017v1","authors":["Qinshuang Wei","Gustav Nilsson","Samuel Coogan"],"tags":["eess.SY"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2022-06-27T02:08:07Z","addedAt":"2026-08-06T22:48:46.008Z"},{"id":"arxiv:2409.16122v1","name":"RIS-aided Trajectory Optimization in Layered Urban Air Mobility","source":"arxiv","abstract":"Urban Air Mobility (UAM) relies on developing aerospace industries, where safe aviation and efficient communication are critical features of aircraft. However, it is challenging for aircraft to sustain efficient air-ground communication in urban circumstances. Without continuous air-ground communication, aircraft may experience course deviation and safety accidents. To address these problems, a reconfigurable intelligent surface(RIS)-aided trajectory optimization scheme is proposed enabling efficient air-ground communication and safe aviation in UAM with a layered airspace structure. This paper first devises a dual-plane RIS communication scheme for layered airspace. It fully engages the omnidirectional and directional signal attributes to reduce the transmission delay of the air-ground communication. Based on the dual-plane RIS configuration, we jointly develop the intra- and inter-layer trajectory scheme to optimize communication and safe aviation. In the intra-layer trajectory optimization, we propose a dual-time-scale flight scheme to improve communication capacity and horizontal flight safety. Meanwhile, we propose a safe layer-switching method to ensure collision avoidance during vertical flight in the inter-layer trajectory optimization. The communication load of the proposed scheme can be improved 40% and the time of safe separation restoration can be lessened 66% compared with the benchmarks in the layered airspace.","url":"https://arxiv.org/abs/2409.16122v1","authors":["Kai Xiong","Supeng Leng","Liyuan Chen","Dapei Zhang","Chongwen Huang","Chau Yuen"],"tags":["cs.CE"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2024-09-24T14:31:40Z","addedAt":"2026-08-06T22:48:46.008Z"},{"id":"arxiv:2306.05581v2","name":"Risk-aware Urban Air Mobility Network Design with Overflow Redundancy","source":"arxiv","abstract":"Urban air mobility (UAM), as envisioned by aviation professionals, will transport passengers and cargo at low altitudes within urban and suburban areas. To operate in urban environments, precise air traffic management, in particular the management of traffic overflows due to physical and operational disruptions will be critical to ensuring system safety and efficiency. To this end, we propose UAM network design with reserve capacity, i.e., a design where alternative landing options and flight corridors are explicitly considered as a means of improving contingency management. Similar redundancy considerations are incorporated in the design of many critical infrastructures, yet remain unexploited in the air transportation literature. In our methodology, we first model how disruptions to a given UAM network might impact on the nominal traffic flow and how this flow might be re-accommodated on an extended network with reserve capacity. Then, through an optimization problem, we select the locations and capacities for the backup vertiports with the maximal expected throughput of the extended network over all possible disruption scenarios, while the throughput is the maximal amount of flights that the network can accommodate per unit of time. We show that we can obtain the solution for the corresponding bi-level and bi-linear optimization problem by solving a mixed-integer linear program. We demonstrate our methodology in the case study using networks from Milwaukee, Atlanta, and Dallas--Fort Worth metropolitan areas and show how the throughput and flexibility of the UAM networks with reserve capacity can outcompete those without.","url":"https://arxiv.org/abs/2306.05581v2","authors":["Qinshuang Wei","Zhenyu Gao","John-Paul Clarke","Ufuk Topcu"],"tags":["eess.SY","math.OC"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2023-06-08T22:45:39Z","addedAt":"2026-08-06T22:48:46.008Z"},{"id":"arxiv:2412.18078v3","name":"Future pathways for eVTOLs: A design optimization perspective","source":"arxiv","abstract":"The rapid development of advanced urban air mobility, particularly electric vertical take-off and landing (eVTOL) aircraft, requires interdisciplinary approaches involving the future urban air mobility ecosystem. Operational cost efficiency, regulatory aspects, sustainability, and environmental compatibility should be incorporated directly into the conceptual design of aircraft and across operational and regulatory strategies. In this work, we apply a novel multidisciplinary design optimization framework for the conceptual design of eVTOL aircraft. The framework optimizes conventional design elements of eVTOL aircraft over a generic mission and integrates a comprehensive operational cost model to directly capture economic incentives of the designed system through profit modeling for operators. We introduce a novel metric, the cross-transportation Figure of Merit (FoM), to compare the optimized eVTOL system with various competing road, rail, and air transportation modes in terms of sustainability, cost, and travel time. We investigate four objective-specific eVTOL optimization designs in a broad scenario space, mapping regulatory, technical, and operational constraints to generate a representation of potential urban air mobility stakeholder-centric design objectives. The analysis of an optimized profit-maximizing eVTOL, cost-minimizing eVTOL, sustainability-maximizing eVTOL, and a combined FoM-maximizing eVTOL design highlights significant trade-offs in the area of profitability, operational flexibility, and sustainability strategies. This underlines the importance of incorporating multiple operationally tangential disciplines into the design process, while also reflecting the diverse priorities of stakeholders such as operators, regulators, and society.","url":"https://arxiv.org/abs/2412.18078v3","authors":["Johannes Janning","Sophie F. Armanini","Urban Fasel"],"tags":["eess.SY"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2024-12-24T01:18:18Z","addedAt":"2026-08-06T22:48:46.008Z"},{"id":"arxiv:2606.21390v1","name":"Distance-based subsidy rate design to incentivize ride-hail access to advanced air mobility hubs","source":"arxiv","abstract":"The success of advanced air mobility (AAM) operations is largely contingent on its effective integration with other ground transport modes. Under many use cases, AAM operators have to work with ride-hailing operators to create a seamless air taxi travel experience with adequate first and last-mile access. In investigating this multimodal coalition, this study proposes a distance-based subsidy rate design for AAM operators to incentivize ride-hail access to AAM hubs, incorporating air mobility operators' profitability considerations and travelers' route choices jointly. Using New York City (NYC) airport access as a case study, this study integrates high-volume for-hire vehicle (HVFHV) data from NYC taxi zones to consider real-world spatial demand distributions while considering passenger groups with different values of time (VOT) to derive insights on distinctive customer bases. Overall, the results show that AAM operators would need to subsidize the ride-hailing operators on vertiport access trips when air taxi operating costs exceed $12/mi. The analysis of ridership at AAM hubs indicates that ridership and profit contributions differ across different candidate vertiports in Manhattan, reflecting spatial demand heterogeneity. Additionally, having the airport access system in place, the taxi zones that generate the highest passenger demand to all three major NYC airports are identified under lower air taxi fare scenarios. These findings highlight how a distance-based subsidy rate design is beneficial in facilitating better access to vertiports and to foster high air taxi ridership with optimal AAM fare levels.","url":"https://arxiv.org/abs/2606.21390v1","authors":["Zhenglei Ji","Hai Yang","Joseph Y. J. Chow"],"tags":["cs.CY","cs.GT"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2026-06-19T12:54:23Z","addedAt":"2026-08-06T22:48:46.008Z"},{"id":"arxiv:2412.14943v1","name":"Unveiling social vibrancy in urban spaces with app usage","source":"arxiv","abstract":"Urban vibrancy is an important measure of the energetic nature of a city that is related to why and how people use urban spaces, and it is inherently connected with our social behaviour. Increasingly, people use a wide range of mobile phone apps in their daily lives to connect socially, search for information, make decisions, and arrange travel, amongst many other reasons. However, the relationship between online app usage and urban vibrancy remains unclear, particularly regarding how sociospatial behaviours interact with urban features. Here, we use app-usage data as a digital signature to investigate this question. To do this, we use a high-resolution data source of mobile service-level traffic volumes across eighteen cities in France. We investigate the social component of cities using socially relevant urban features constructed from OpenStreetMap 'Points of Interest'. We developed a methodology for identifying and classifying multidimensional app usage time series based on similarity. We used these in predictive models to interpret the results for each city and across France. Across cities, there were spatial behavioural archetypes, characterised by multidimensional properties. We found patterns between the week and the weekend, and across cities, and the country. These archetypes correspond to changes in socially relevant urban features that impact urban vibrancy. Our results add further evidence for the importance of using computational approaches to understand urban environments, the use of sociological concepts in computational science, and urban vibrancy in cities.","url":"https://arxiv.org/abs/2412.14943v1","authors":["Thomas Collins","Diogo Pacheco","Riccardo Di Clemente","Federico Botta"],"tags":["cs.CY"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2024-12-19T15:23:26Z","addedAt":"2026-08-06T22:48:46.008Z"},{"id":"arxiv:2511.06875v1","name":"Data-Driven Mixed-Methods Framework for Cybernetic Urban Mobility Governance","source":"arxiv","abstract":"This study develops a cybernetically inspired mixed-methods framework that bridges the gap between policy formation and implementation through feedback-driven analysis of mobility transitions. Using a major campus consolidation in Trondheim, Norway as a case study, we examine how this framework supports sustainable mobility through integrated analysis of mobility patterns, constraints, and transition impacts. The consolidation eliminates over 1,300 parking spaces while increasing daily population by 9,300 people. We employ a mixed-methods approach combining qualitative survey data (n=573) with quantitative big data analysis of public transit and crowd movement patterns. This integrates three analytical components and provides grounded insights into commuting flows, modes, durations, distances, and congestion points, while addressing the spatiotemporal mobility realities of affected populations. The analysis reveals complex mobility constraints, with 59.3% of respondents having children and private cars dominating in winter (49.4%). Though there is broad support for sustainable mobility goals, 86.0% identify increasing travel duration as primary difficulty. Quantitative analysis highlights peak usage patterns and congestion risks, with seasonal variations. This study demonstrates integrating qualitative and quantitative analysis to anticipate negative impacts and enable efficient sustainable mobility policies. The results inform practical recommendations for data-driven mobility interventions that align sustainability goals with lived realities.","url":"https://arxiv.org/abs/2511.06875v1","authors":["Oluwaleke Yusuf","Morten Breivik","Adil Rasheed"],"tags":["physics.soc-ph"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2025-11-10T09:23:15Z","addedAt":"2026-08-06T22:48:46.008Z"},{"id":"arxiv:2302.09653v1","name":"Remote Identification Trajectory Coverage in Urban Air Mobility Applications","source":"arxiv","abstract":"As Urban Air Mobility (UAM) and Advanced Air Mobility (AAM) continue to mature, a safety-critical system that will need to be implemented in tandem is Remote Identification (Remote ID) for uncrewed aircraft systems (UAS). To ensure successful and efficient deployment (e.g., maximal surveillance of UAS trajectories), as well as to better understand secondary impacts (e.g., consumer privacy risks in collecting real-time UAS trajectory information), the coverage of broadcast-receive Remote ID architectures needs to be characterized. Motivated by this need, we examine theoretical and empirical trajectory coverage of several common Remote ID technologies (e.g., Bluetooth, Wi-Fi) deployed for urban package delivery missions, a commonly-cited use case for UAM and AAM. We derive methods to explicitly compute expected coverage proportions under idealized geometries, as well as conduct case studies with realistic city geographies and UAS path planning algorithms. An example of results include approximate magnitudes of Remote ID receivers needed (approximately 500-5000 receivers needed to achieve 50-95\\% coverage for Bluetooth Legacy, and approximately 10-40 receivers needed for the same coverage range for Wi-Fi NAN/Beacon, assuming a cruise altitude of 200 feet) to achieve specific trajectory coverage proportions for San Francisco, California. Our analyses, combined with complementary works related to Remote ID bandwidth and deployment topologies, can help guide municipal authorities and AAM stakeholders in future Remote ID system deployments and upkeep.","url":"https://arxiv.org/abs/2302.09653v1","authors":["Hejun Huang","Billy Mazotti","Joseph Kim","Max Z. Li"],"tags":["eess.SY"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2023-02-19T18:47:57Z","addedAt":"2026-08-06T22:48:46.008Z"},{"id":"arxiv:2503.17313v1","name":"Throughput Maximizing Takeoff Scheduling for eVTOL Vehicles in On-Demand Urban Air Mobility Systems","source":"arxiv","abstract":"Urban Air Mobility (UAM) offers a solution to current traffic congestion by using electric Vertical Takeoff and Landing (eVTOL) vehicles to provide on-demand air mobility in urban areas. Effective traffic management is crucial for efficient operation of UAM systems, especially for high-demand scenarios. In this paper, we present a centralized framework for conflict-free takeoff scheduling of eVTOLs in on-demand UAM systems. Specifically, we provide a scheduling policy, called VertiSync, which jointly schedules UAM vehicles for servicing trip requests and rebalancing, subject to safety margins and energy requirements. We characterize the system-level throughput of VertiSync, which determines the demand threshold at which the average waiting time transitions from being stable to being increasing over time. We show that the proposed policy maximizes throughput for sufficiently large fleet size and if the UAM network has a certain symmetry property. We demonstrate the performance of VertiSync through a case study for the city of Los Angeles, and show that it significantly reduces average passenger waiting time compared to a first-come first-serve scheduling policy.","url":"https://arxiv.org/abs/2503.17313v1","authors":["Milad Pooladsanj","Ketan Savla","Petros A. Ioannou"],"tags":["eess.SY","math.OC","math.PR"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2025-03-21T17:07:41Z","addedAt":"2026-08-06T22:48:46.008Z"},{"id":"arxiv:2309.08796v1","name":"Towards Robust and Efficient Communications for Urban Air Mobility","source":"arxiv","abstract":"For the realization of the future urban air mobility, reliable information exchange based on robust and efficient communication between all airspace participants will be one of the key factors to ensure safe operations. Especially in dense urban scenarios, the direct and fast information exchange between drones based on Drone-to-Drone communications is a promising technology for enabling reliable collision avoidance systems. However, to mitigate collisions and to increase overall reliability, unmanned aircraft still lack a redundant, higher-level safety net to coordinate and monitor traffic, as is common in today's civil aviation. In addition, direct and fast information exchange based on ad hoc communication is needed to cope with the very short reaction times required to avoid collisions and to cope with the the high traffic densities. Therefore, we are developing a \\ac{d2d} communication and surveillance system, called DroneCAST, which is specifically tailored to the requirements of a future urban airspace and will be part of a multi-link approach. In this work we discuss challenges and expected safety-critical applications that will have to rely on communications for \\ac{uam} and present our communication concept and necessary steps towards DroneCAST. As a first step towards an implementation, we equipped two drones with hardware prototypes of the experimental communication system and performed several flights around the model city to evaluate the performance of the hardware and to demonstrate different applications that will rely on robust and efficient communications.","url":"https://arxiv.org/abs/2309.08796v1","authors":["Dennis Becker","Lukas Schalk"],"tags":["eess.SP"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2023-09-15T22:39:59Z","addedAt":"2026-08-06T22:48:46.008Z"},{"id":"arxiv:2508.16057v1","name":"Urban Comfort Assessment in the Era of Digital Planning: A Multidimensional, Data-driven, and AI-assisted Framework","source":"arxiv","abstract":"Ensuring liveability and comfort is one of the fundamental objectives of urban planning. Numerous studies have employed computational methods to assess and quantify factors related to urban comfort such as greenery coverage, thermal comfort, and walkability. However, a clear definition of urban comfort and its comprehensive evaluation framework remain elusive. Our research explores the theoretical interpretations and methodologies for assessing urban comfort within digital planning, emphasising three key dimensions: multidimensional analysis, data support, and AI assistance.","url":"https://arxiv.org/abs/2508.16057v1","authors":["Sijie Yang","Binyu Lei","Filip Biljecki"],"tags":["cs.AI","cs.CY"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2025-08-22T03:10:41Z","addedAt":"2026-08-06T22:48:46.008Z"},{"id":"arxiv:2404.02642v1","name":"Urban Scaling Laws","source":"arxiv","abstract":"Understanding how size influences the internal characteristics of a system is a crucial concern across various fields. Concepts like scale invariance, universalities, and fractals are fundamental to this inquiry and find application in biology, physics, and particularly urbanism. Size profoundly impacts how cities develop and function economically and socially. For example, what are the pros and cons of residing in larger cities? Is life really more expensive or less safe in larger cities? Or do they really offer more opportunities and generally higher incomes than smaller ones? To address such inquiries, we utilize theoretical tools from scaling theory, enabling a quantitative description of how a system's behavior changes across different scales, from micro to macro. Drawing parallels with research in biology and spatial economics, this chapter explores recent discoveries, ongoing progress, and unanswered questions regarding urban scaling.","url":"https://arxiv.org/abs/2404.02642v1","authors":["Fabiano L. Ribeiro","Vinicius M. Netto"],"tags":["physics.soc-ph"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2024-04-03T11:09:40Z","addedAt":"2026-08-06T22:48:46.008Z"},{"id":"arxiv:2108.01608v1","name":"Scheduling Aerial Vehicles in an Urban Air Mobility Scheme","source":"arxiv","abstract":"Highly populated cities face several challenges, one of them being the intense traffic congestion. In recent years, the concept of Urban Air Mobility has been put forward by large companies and organizations as a way to address this problem, and this approach has been rapidly gaining ground. This disruptive technology involves aerial vehicles (AVs) for hire than can be utilized by customers to travel between locations within large cities. This concept has the potential to drastically decrease traffic congestion and reduce air pollution, since these vehicles typically use electric motors powered by batteries. This work studies the problem of scheduling the assignment of AVs to customers, having as a goal to maximize the serviced customers and minimize the energy consumption of the AVs by forcing them to fly at the lowest possible altitude. Initially, an Integer Linear Program (ILP) formulation is presented, that is solved offline and optimally, followed by a near-optimal algorithm, that solves the problem incrementally, one AV at a time, to address scalability issues, allowing scheduling in problems involving large numbers of locations, AVs, and customer requests.","url":"https://arxiv.org/abs/2108.01608v1","authors":["Emmanouil S. Rigas","Panayiotis Kolios","Georgios Ellinas"],"tags":["cs.AI","math.OC"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2021-08-03T16:18:01Z","addedAt":"2026-08-06T22:48:46.008Z"},{"id":"arxiv:1406.0256v1","name":"HYBRIST Mobility Model- A Novel Hybrid Mobility Model for VANET Simulations","source":"arxiv","abstract":"Simulations play a vital role in implementing, testing and validating proposed algorithms and protocols in VANET. Mobility model, defined as the movement pattern of vehicles, is one of the main factors that contribute towards the efficient implementation of VANET algorithms and protocols. Using near reality mobility models ensure that accurate results are obtained from simulations. Mobility models that have been proposed and used to implement and test VANET protocols and algorithms are either the urban mobility model or highway mobility model. Algorithms and protocols implemented using urban or highway mobility models may not produce accurate results in hybrid mobility models without enhancement due to the vast differences in mobility patterns. It is on this score the Hybrist, a novel hybrid mobility model is proposed. The realistic mobility pattern trace file of the proposed Hybrist hybrid mobility model can be imported to VANET simulators such as Veins and network simulators such as ns2 and Qualnet to simulate VANET algorithms and protocols.","url":"https://arxiv.org/abs/1406.0256v1","authors":["Wiseborn Manfe Danquah","Turgay D Altilar"],"tags":["cs.NI"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2014-06-02T06:24:15Z","addedAt":"2026-08-06T22:48:46.008Z"},{"id":"arxiv:2403.14175v1","name":"Designing Complexity? The Role of Self-Organization in Urban planning and Design","source":"arxiv","abstract":"This chapter explores the concept of self-organization in urban planning and design, highlighting its role in shaping the unique characteristics of cities. It examines how various socio-economic, cultural, and political factors contribute to the development of distinct architectural styles, emphasizing the morphological patterns and self-organization principles. The chapter addresses the emergence of scaling laws and fractal geometry in urban forms, using historical and contemporary examples to illustrate these concepts. The discussion also delves into the cognitive aspects of urban design, examining how the physical layout of cities influences cognitive maps and perceptions of urban environments, and how these perceptions, in turn, influence urban design. Through the prism of self-organization, it demonstrates the dynamic interplay between individual and collective actions and the shaping of the urban landscape. This analysis offers insights into the complex, self-organizing systems that define urban spaces, emphasizing the interdependencies among architectural design, urban planning, and human cognition in shaping cityscapes.","url":"https://arxiv.org/abs/2403.14175v1","authors":["Anat Goldman","Efrat Blumenfeld-Lieberthal"],"tags":["physics.soc-ph"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2024-03-21T06:55:30Z","addedAt":"2026-08-06T22:48:46.008Z"},{"id":"arxiv:2103.09839v2","name":"Passenger-Centric Urban Air Mobility: Fairness Trade-Offs and Operational Efficiency","source":"arxiv","abstract":"Urban Air Mobility (UAM) has the potential to revolutionize transportation. It will exploit the third dimension to help smooth ground traffic in densely populated areas. To be successful, it will require an integrated approach able to balance efficiency and safety while harnessing common resources and information. In this work we focus on future urban air-taxi services, and present the first methods and algorithms to efficiently operate air-taxi at scale. Our approach is twofold. First, we use a passenger-centric perspective which introduces traveling classes, and information sharing between transport modes to differentiate quality of services. This helps smooth multimodal journeys and increase passenger satisfaction. Second, we provide a flight routing and recharging solution which minimizes direct operational costs while preserving long term battery life through reduced energy-intense recharging. Our methods, which surpass the performance of a general state-of-the-art commercial solver, are also used to gain meaningful insights on the design space of the air-taxi problem, including solutions to hidden fairness issues.","url":"https://arxiv.org/abs/2103.09839v2","authors":["Mehdi Bennaceur","Rémi Delmas","Youssef Hamadi"],"tags":["math.OC"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2021-03-17T18:00:52Z","addedAt":"2026-08-06T22:48:46.008Z"},{"id":"arxiv:2208.09312v1","name":"Blockchain-based traffic management for Advanced Air Mobility","source":"arxiv","abstract":"The large public interest in Advanced Air Mobility (AAM) will soon lead to congested skies overhead cities, analogously to what happened with other transportation means, including commercial aviation. In the latter case, the combination of large distances and demanded number flights is such that a system with centralized control, with most of the decisions made by human operators, is safe. However, for AAM, it is expected a much higher demand, because it will be used for people's daily commutes. Thus, higher automation levels will become a requirement for coordinating this traffic, which might not be effectively managed by humans. The establishment of fixed air routes can abate complexity, however at the cost of limiting capacity and decreasing efficiency. Another alternative is the use of a powerful central system based on Artificial Intelligence (AI), which would allow flexible trajectories and higher efficiency. However, such system would require concentrated investment, could contain Single-Points-of-Failure (SPoFs), would be a highly sought target of malicious attacks, and would be subject to periods of unavailability. This work proposes a new technology that solves the problem of managing the high complexity of the AAM traffic with a secure distributed approach, without the need for a proprietary centralized automation system. This technology enables distributed airspace allocation management and conflict resolution by means of trusted shared data structures and associated smart contracts running on a blockchain ecosystem. This way, it greatly reduces the risk of system outages due to SPoFs, by allowing peer-to-peer conflict resolution, and being more resilient to failures in the ground communication infrastructure. Furthermore, it provides priority-based balancing mechanisms that help to regulate fairness among participants in the utilization of the airspace.","url":"https://arxiv.org/abs/2208.09312v1","authors":["I. Romani de Oliveira","T. Matsumoto","E. C. Pinto Neto"],"tags":["cs.MA"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2022-08-19T12:54:37Z","addedAt":"2026-08-06T22:48:46.008Z"},{"id":"arxiv:2512.12632v1","name":"Optimized Conflict Management for Urban Air Mobility Using Swarm UAV Networks","source":"arxiv","abstract":"Urban Air Mobility (UAM) poses unprecedented traffic coordination challenges, especially with increasing UAV densities in dense urban corridors. This paper introduces a mathematical model using a control algorithm to optimize an Edge AI-driven decentralized swarm architecture for intelligent conflict resolution, enabling real-time decision-making with low latency. Using lightweight neural networks, the system leverages edge nodes to perform distributed conflict detection and resolution. A simulation platform was developed to evaluate the scheme under various UAV densities. Results indicate that the conflict resolution time is dramatically minimized up to 3.8 times faster, and accuracy is enhanced compared to traditional centralized control models. The proposed architecture is highly promising for scalable, efficient, and safe aerial traffic management in future UAM systems.","url":"https://arxiv.org/abs/2512.12632v1","authors":["Rishit Agnihotri","Sandeep Kumar Sharma"],"tags":["cs.RO"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2025-12-14T10:34:47Z","addedAt":"2026-08-06T22:48:46.008Z"},{"id":"arxiv:2511.00096v1","name":"Urban-MAS: Human-Centered Urban Prediction with LLM-Based Multi-Agent System","source":"arxiv","abstract":"Urban Artificial Intelligence (Urban AI) has advanced human-centered urban tasks such as perception prediction and human dynamics. Large Language Models (LLMs) can integrate multimodal inputs to address heterogeneous data in complex urban systems but often underperform on domain-specific tasks. Urban-MAS, an LLM-based Multi-Agent System (MAS) framework, is introduced for human-centered urban prediction under zero-shot settings. It includes three agent types: Predictive Factor Guidance Agents, which prioritize key predictive factors to guide knowledge extraction and enhance the effectiveness of compressed urban knowledge in LLMs; Reliable UrbanInfo Extraction Agents, which improve robustness by comparing multiple outputs, validating consistency, and re-extracting when conflicts occur; and Multi-UrbanInfo Inference Agents, which integrate extracted multi-source information across dimensions for prediction. Experiments on running-amount prediction and urban perception across Tokyo, Milan, and Seattle demonstrate that Urban-MAS substantially reduces errors compared to single-LLM baselines. Ablation studies indicate that Predictive Factor Guidance Agents are most critical for enhancing predictive performance, positioning Urban-MAS as a scalable paradigm for human-centered urban AI prediction. Code is available on the project website:https://github.com/THETUREHOOHA/UrbanMAS","url":"https://arxiv.org/abs/2511.00096v1","authors":["Shangyu Lou"],"tags":["cs.MA","cs.AI","cs.CY"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2025-10-30T10:26:02Z","addedAt":"2026-08-06T22:48:46.008Z"},{"id":"arxiv:2605.28672v1","name":"Population size and centrality effects on NO2 air pollution across and within European cities","source":"arxiv","abstract":"Understanding how nitrogen dioxide (NO2) varies both within and across cities is essential for assessing urban health inequalities, yet the joint influence of city size and internal structure remains poorly quantified. While it is expected that agglomeration size increases NO2 concentrations and that distance from major urban activities reduces them, the magnitude and form of their combined effect have not been established. Our objective is to move beyond city-specific local context effects and to characterize the general structural form of NO2 distributions, understood as their systematic variation with distance from the center across cities of different sizes. Using both ground monitoring stations and satellite data for 378 European Functional Urban Areas, we estimate parallel models for each measurement type and show that the same structural relationships hold in both cases. We find that NO2 concentrations increase with population size as a power law (with an exponent between 0.14 and 0.22) and decrease with distance from the city center (with an exponent between -0.12 and -0.18), with consistent results across measurement types and robust to local and regional controls. These effects combine into a scalable radial profile, where the total air pollution over a city is proportional to (N/r)^0.16, which generalizes the spatial distribution of NO2 in European cities. This formulation clarifies how total and per-capita pollution depend on the extent to which pollution is integrated and provides a simple framework for evaluating the health implications of urban growth.","url":"https://arxiv.org/abs/2605.28672v1","authors":["Yufei Wei","Rémi Lemoy","Geoffrey Caruso"],"tags":["physics.soc-ph"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2026-05-27T16:06:01Z","addedAt":"2026-08-06T22:48:46.008Z"},{"id":"arxiv:2006.13267v1","name":"Learning-to-Fly: Learning-based Collision Avoidance for Scalable Urban Air Mobility","source":"arxiv","abstract":"With increasing urban population, there is global interest in Urban Air Mobility (UAM), where hundreds of autonomous Unmanned Aircraft Systems (UAS) execute missions in the airspace above cities. Unlike traditional human-in-the-loop air traffic management, UAM requires decentralized autonomous approaches that scale for an order of magnitude higher aircraft densities and are applicable to urban settings. We present Learning-to-Fly (L2F), a decentralized on-demand airborne collision avoidance framework for multiple UAS that allows them to independently plan and safely execute missions with spatial, temporal and reactive objectives expressed using Signal Temporal Logic. We formulate the problem of predictively avoiding collisions between two UAS without violating mission objectives as a Mixed Integer Linear Program (MILP).This however is intractable to solve online. Instead, we develop L2F, a two-stage collision avoidance method that consists of: 1) a learning-based decision-making scheme and 2) a distributed, linear programming-based UAS control algorithm. Through extensive simulations, we show the real-time applicability of our method which is $\\approx\\!6000\\times$ faster than the MILP approach and can resolve $100\\%$ of collisions when there is ample room to maneuver, and shows graceful degradation in performance otherwise. We also compare L2F to two other methods and demonstrate an implementation on quad-rotor robots.","url":"https://arxiv.org/abs/2006.13267v1","authors":["Alëna Rodionova","Yash Vardhan Pant","Kuk Jang","Houssam Abbas","Rahul Mangharam"],"tags":["eess.SY","cs.LG","cs.RO"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2020-06-23T18:46:31Z","addedAt":"2026-08-06T22:48:46.008Z"},{"id":"arxiv:1908.08651v1","name":"Trajectory-Based Urban Air Mobility (UAM) Operations Simulator (TUS)","source":"arxiv","abstract":"Nowadays, the demand for optimized services in urban environments to provide better society wellness is increasing. In this sense, ground transportation in dense urban environments has been facing challenges for many years (e.g., congestion and resilience). One import outcome of the effort made toward the creation of new concepts for enhancing urban transportation is the Urban Air Mobility (UAM) concept. UAM aims at enhancing city transportation services using manned and unmanned vehicles. However, these operations bring many challenges to be faced, e.g., the interaction between the controller agent and autonomous vehicles. Furthermore, trajectory planning is not a simple task due to several factors. Firstly, the trajectories must consider a reduced minimum separation as eVTOL vehicle are expected to operate in complex urban environments. This leads the trajectory planning process to observe safety primitives more restrictively once the airspace is expected to comport many vehicles that follow small minimum separation standards. Thereupon, the main goal of the Trajectory-Based UAM Operations Simulator (TUS) is to simulate the Trajectory-Based UAM operations in urban environments considering the presence of both manned and unmanned eVTOL vehicles. For this, a Discrete Event Simulation (DES) approach is adopted, which considers an input (i.e., the eVTOL vehicles, their origin and destination, and their respective trajectories) and produces an output (which describes if the trajectories are safe and the elapsed operation time). The main contribution of this simulation tool is to provide a simulated environment for testing and measuring the effectiveness (e.g., flight duration) of trajectories planned for eVTOL vehicles.","url":"https://arxiv.org/abs/1908.08651v1","authors":["Euclides C. Pinto Neto","Derick M. Baum","Jorge Rady de Almeida Junior","João Batista Camargo Junior","Paulo Sérgio Cugnasca"],"tags":["cs.CY"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2019-08-23T03:27:16Z","addedAt":"2026-08-06T22:48:46.008Z"},{"id":"arxiv:2206.10954v2","name":"Numerical simulation of the nocturnal cooling effect of urban trees considering the leaf area density distribution","source":"arxiv","abstract":"The design of urban areas and building that utilizes the microclimatic effects of trees is a promising approach for reducing the severe heat stress caused by urban heat islands and global warming. Although trees can reduce heat stress through solar shading during the daytime, their influence on the air temperature under and around them during the nighttime, which is important for nighttime thermal comfort, has not yet been fully elucidated. In this study, we investigated the nocturnal cooling effect of trees in a physical urban space by the coupled numerical simulation of longwave radiative transfer and computational fluid dynamics. To represent the spatial structure of an actual urban space, airborne LiDAR-derived three-dimensional data of leaf area density distribution and building shape were used. The species-specific convective heat transfer coefficient was also considered. An analysis of the calculated sensible heat flux shows that both leaf area density and sky view factor are important factors in the production of cool air. According to the calculated distributions of air temperature and velocity, even under the condition of a certain degree of incident flow, the cooled air can flow down to the space under the crown, accumulate, and then diverge when the wind speed is sufficiently low in the crown owing to the crown drag. Buildings contribute to both the accumulation and dissipation of cool air. The findings of the present study suggest that cool spots can be produced during nighttime by trees planted near streets by devising a suitable arrangement and morphology of trees and buildings.","url":"https://arxiv.org/abs/2206.10954v2","authors":["Haruki Oshio","Tomoki Kiyono","Takashi Asawa"],"tags":["physics.geo-ph"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2022-06-22T09:51:37Z","addedAt":"2026-08-06T22:48:46.008Z"},{"id":"arxiv:2311.01079v2","name":"Experiencing Urban Air Mobility: How Passengers evaluate a simulated flight with an Air Taxi","source":"arxiv","abstract":"For the successful development and implementation of novel concepts and technology, the acceptance of potential users is crucial. Therefore, within the project HorizonUAM of the German Aerospace Center (DLR), we investigated passengers' acceptance of air taxis. One challenge is that not many people have real experiences with urban air mobility (UAM) at the moment and thus requirements formulated by potential users refer to rather abstract concepts. To allow participants to gain realistic impressions of UAM concepts, a Mixed Reality (MR) Air Taxi Simulator was set up. In a study, 30 participants experienced an inner-city business shuttle flight. We assessed the influence of another person on board on wellbeing and information needs in nominal (experiment 1) and non-nominal situations (experiment 2). For the latter, participants experienced a re-routing of the flight due to landing side unavailability. During and after the flights, participants answered questionnaires and extensive interviews were conducted. The study produced empirical data on relevant factors regarding interaction, information needs and comfort within an air taxi. The findings show that passengers want to be informed about intentions of the vehicle. The presence of a flight attendant on board is not necessary but can increase wellbeing especially during non-nominal situations.","url":"https://arxiv.org/abs/2311.01079v2","authors":["Anne Papenfuss","Maria Stolz","Nele Riedesel","Franziska Dunkel","Johannes Maria Ernst","Tim Laudien","Helge Lenz","Aytek Korkmaz","Albert End","Bianca Isabella Schuchardt"],"tags":["eess.SY","physics.soc-ph"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2023-11-02T08:43:52Z","addedAt":"2026-08-06T22:48:46.008Z"},{"id":"arxiv:2111.05413v1","name":"A Framework for eVTOL Performance Evaluation in Urban Air Mobility Realm","source":"arxiv","abstract":"In this paper, we developed a generalized simulation framework for the evaluation of electric vertical takeoff and landing vehicles (eVTOLs) in the context of Unmanned Aircraft Systems (UAS) Traffic Management (UTM) and under the concept of Urban Air Mobility (UAM). Unlike most existing studies, the proposed framework combines the utilization of UTM and eVTOLs to develop a realistic UAM testing platform. For this purpose, we first enhanced an existing UTM simulator to simulate the real-world UAM environment. Then, instead of using a simplified eVOTL model, a realistic eVTOL design tool, namely SUAVE, is employed and an dilation sub-module is introduced to bridge the gap between the UTM simulator and SUAVE eVTOL performance evaluation tool to elaborate the complete mission profile. Based on the developed simulation framework, experiments are conducted and the results are presented to analyze the performance of eVTOLs in the UAM environment.","url":"https://arxiv.org/abs/2111.05413v1","authors":["Mrinmoy Sarkar","Xuyang Yan","Abenezer Girma","Abdollah Homaifar"],"tags":["cs.RO"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2021-11-09T20:48:00Z","addedAt":"2026-08-06T22:48:46.008Z"},{"id":"arxiv:2205.13064v1","name":"Urban Rhapsody: Large-scale exploration of urban soundscapes","source":"arxiv","abstract":"Noise is one of the primary quality-of-life issues in urban environments. In addition to annoyance, noise negatively impacts public health and educational performance. While low-cost sensors can be deployed to monitor ambient noise levels at high temporal resolutions, the amount of data they produce and the complexity of these data pose significant analytical challenges. One way to address these challenges is through machine listening techniques, which are used to extract features in attempts to classify the source of noise and understand temporal patterns of a city's noise situation. However, the overwhelming number of noise sources in the urban environment and the scarcity of labeled data makes it nearly impossible to create classification models with large enough vocabularies that capture the true dynamism of urban soundscapes In this paper, we first identify a set of requirements in the yet unexplored domain of urban soundscape exploration. To satisfy the requirements and tackle the identified challenges, we propose Urban Rhapsody, a framework that combines state-of-the-art audio representation, machine learning, and visual analytics to allow users to interactively create classification models, understand noise patterns of a city, and quickly retrieve and label audio excerpts in order to create a large high-precision annotated database of urban sound recordings. We demonstrate the tool's utility through case studies performed by domain experts using data generated over the five-year deployment of a one-of-a-kind sensor network in New York City.","url":"https://arxiv.org/abs/2205.13064v1","authors":["Joao Rulff","Fabio Miranda","Maryam Hosseini","Marcos Lage","Mark Cartwright","Graham Dove","Juan Bello","Claudio T. Silva"],"tags":["cs.CY","cs.HC","cs.LG","cs.SD","eess.AS"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2022-05-25T22:02:36Z","addedAt":"2026-08-06T22:48:46.008Z"},{"id":"arxiv:2301.12901v4","name":"Simulating the Integration of Urban Air Mobility into Existing Transportation Systems: A Survey","source":"arxiv","abstract":"Urban air mobility (UAM) has the potential to revolutionize transportation in metropolitan areas, providing a new mode of transportation that could alleviate congestion and improve accessibility. However, the integration of UAM into existing transportation systems is a complex task that requires a thorough understanding of its impact on traffic flow and capacity. In this paper, we conduct a survey to investigate the current state of research on UAM in metropolitan-scale traffic using simulation techniques. We identify key challenges and opportunities for the integration of UAM into urban transportation systems, including impacts on existing traffic patterns and congestion; safety analysis and risk assessment; potential economic and environmental benefits; and the development of shared infrastructure and routes for UAM and ground-based transportation. We also discuss the potential benefits of UAM, such as reduced travel times and improved accessibility for underserved areas. Our survey provides a comprehensive overview of the current state of research on UAM in metropolitan-scale traffic using simulation and highlights key areas for future research and development.","url":"https://arxiv.org/abs/2301.12901v4","authors":["Xuan Jiang","Yuhan Tang","Junzhe Cao","Vishwanath Bulusu"," Hao"," Yang","Xin Peng","Yunhan Zheng","Jinhua Zhao","Raja Sengupta"],"tags":["cs.RO","cs.AI","cs.CY"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2023-01-25T16:43:28Z","addedAt":"2026-08-06T22:48:46.008Z"},{"id":"arxiv:2411.06015v1","name":"Multi-hop RIS-aided Learning Model Sharing for Urban Air Mobility","source":"arxiv","abstract":"Urban Air Mobility (UAM), powered by flying cars, is poised to revolutionize urban transportation by expanding vehicle travel from the ground to the air. This advancement promises to alleviate congestion and enable faster commutes. However, the fast travel speeds mean vehicles will encounter vastly different environments during a single journey. As a result, onboard learning systems need access to extensive environmental data, leading to high costs in data collection and training. These demands conflict with the limited in-vehicle computing and battery resources. Fortunately, learning model sharing offers a solution. Well-trained local Deep Learning (DL) models can be shared with other vehicles, reducing the need for redundant data collection and training. However, this sharing process relies heavily on efficient vehicular communications in UAM. To address these challenges, this paper leverages the multi-hop Reconfigurable Intelligent Surface (RIS) technology to improve DL model sharing between distant flying cars. We also employ knowledge distillation to reduce the size of the shared DL models and enable efficient integration of non-identical models at the receiver. Our approach enhances model sharing and onboard learning performance for cars entering new environments. Simulation results show that our scheme improves the total reward by 85% compared to benchmark methods.","url":"https://arxiv.org/abs/2411.06015v1","authors":["Kai Xiong","Hanqing Yu","Supeng Leng","Chongwen Huang","Chau Yuen"],"tags":["cs.NI"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2024-11-09T00:11:30Z","addedAt":"2026-08-06T22:48:46.008Z"},{"id":"arxiv:2404.03710v2","name":"Self-organized free-flight arrival for urban air mobility","source":"arxiv","abstract":"Urban air mobility is an innovative mode of transportation in which electric vertical takeoff and landing (eVTOL) vehicles operate between nodes called vertiports. We outline a self-organized vertiport arrival system based on deep reinforcement learning. The airspace around the vertiport is assumed to be circular, and the vehicles can freely operate inside. Each aircraft is considered an individual agent and follows a shared policy, resulting in decentralized actions that are based on local information. We investigate the development of the reinforcement learning policy during training and illustrate how the algorithm moves from suboptimal local holding patterns to a safe and efficient final policy. The latter is validated in simulation-based scenarios, including robustness analyses against sensor noise and a changing distribution of inbound traffic. Lastly, we deploy the final policy on small-scale unmanned aerial vehicles to showcase its real-world usability.","url":"https://arxiv.org/abs/2404.03710v2","authors":["Martin Waltz","Ostap Okhrin","Michael Schultz"],"tags":["cs.LG","cs.AI"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2024-04-04T13:43:17Z","addedAt":"2026-08-06T22:48:46.008Z"},{"id":"arxiv:2606.08836v1","name":"Adaptive Model Predictive Control of Nonlinear Generic Urban Air Mobility Using Linear Parameter-Varying Systems","source":"arxiv","abstract":"This paper presents an adaptive model predictive control (MPC) framework for nonlinear urban air mobility (UAM) vehicles operating across the full flight envelope. The proposed approach leverages a linear parameter-varying (LPV) representation to update the predictive model online, enabling accurate capture of strongly nonlinear and time-varying dynamics associated with distributed electric propulsion (DEP) eVTOL aircraft. To systematically address the high-dimensional and coupled nature of MPC tuning, a multi-objective evolutionary optimization strategy based on NSGA-II is employed, incorporating proper normalization of states and control inputs to ensure balanced weighting and meaningful exploration of the design space. The resulting controller explicitly accounts for actuator constraints and enables reconfigurable control allocation for fault-tolerant operation. The framework is evaluated in nonlinear simulations using NASA's Generic Urban Air Mobility (GUAM) model and benchmarked against a robust servomechanism linear quadratic regulator (RSLQR). Results demonstrate that the proposed adaptive MPC achieves improved trajectory tracking and enhanced robustness under both nominal conditions and actuator degradation scenarios, including partial motor failure, while maintaining constraint satisfaction throughout all flight regimes.","url":"https://arxiv.org/abs/2606.08836v1","authors":["Tri Ngo"],"tags":["eess.SY"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2026-06-07T21:03:19Z","addedAt":"2026-08-06T22:48:46.008Z"},{"id":"arxiv:2302.05849v1","name":"Graph Learning Based Decision Support for Multi-Aircraft Take-Off and Landing at Urban Air Mobility Vertiports","source":"arxiv","abstract":"Majority of aircraft under the Urban Air Mobility (UAM) concept are expected to be of the electric vertical takeoff and landing (eVTOL) vehicle type, which will operate out of vertiports. While this is akin to the relationship between general aviation aircraft and airports, the conceived location of vertiports within dense urban environments presents unique challenges in managing the air traffic served by a vertiport. This challenge becomes pronounced within increasing frequency of scheduled landings and take-offs. This paper assumes a centralized air traffic controller (ATC) to explore the performance of a new AI driven ATC approach to manage the eVTOLs served by the vertiport. Minimum separation-driven safety and delays are the two important considerations in this case. The ATC problem is modeled as a task allocation problem, and uncertainties due to communication disruptions (e.g., poor link quality) and inclement weather (e.g., high gust effects) are added as a small probability of action failures. To learn the vertiport ATC policy, a novel graph-based reinforcement learning (RL) solution called \"Urban Air Mobility- Vertiport Schedule Management (UAM-VSM)\" is developed. This approach uses graph convolutional networks (GCNs) to abstract the vertiport space and eVTOL space as graphs, and aggregate information for a centralized ATC agent to help generalize the environment. Unreal Engine combined with Airsim is used as the simulation environment over which training and testing occurs. Uncertainties are considered only during testing, due to the high cost of Mc sampling over such realistic simulations. The proposed graph RL method demonstrates significantly better performance on the test scenarios when compared against a feasible random decision-making baseline and a first come first serve (FCFS) baseline, including the ability to generalize to unseen scenarios and with uncertainties.","url":"https://arxiv.org/abs/2302.05849v1","authors":["Prajit KrisshnaKumar","Jhoel Witter","Steve Paul","Karthik Dantu","Souma Chowdhury"],"tags":["cs.MA"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2023-02-12T04:11:44Z","addedAt":"2026-08-06T22:48:46.008Z"},{"id":"arxiv:2209.15457v1","name":"Scheduling for Urban Air Mobility using Safe Learning","source":"arxiv","abstract":"This work considers the scheduling problem for Urban Air Mobility (UAM) vehicles travelling between origin-destination pairs with both hard and soft trip deadlines. Each route is described by a discrete probability distribution over trip completion times (or delay) and over inter-arrival times of requests (or demand) for the route along with a fixed hard or soft deadline. Soft deadlines carry a cost that is incurred when the deadline is missed. An online, safe scheduler is developed that ensures that hard deadlines are never missed, and that average cost of missing soft deadlines is minimized. The system is modelled as a Markov Decision Process (MDP) and safe model-based learning is used to find the probabilistic distributions over route delays and demand. Monte Carlo Tree Search (MCTS) Earliest Deadline First (EDF) is used to safely explore the learned models in an online fashion and develop a near-optimal non-preemptive scheduling policy. These results are compared with Value Iteration (VI) and MCTS (Random) scheduling solutions.","url":"https://arxiv.org/abs/2209.15457v1","authors":["Surya Murthy","Natasha A. Neogi","Suda Bharadwaj"],"tags":["cs.LG","cs.AI"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2022-09-28T12:23:38Z","addedAt":"2026-08-06T22:48:46.008Z"},{"id":"arxiv:2305.01398v1","name":"Infrastructural Requirements and Regulatory Challenges of a Sustainable Urban Air Mobility Ecosystem","source":"arxiv","abstract":"The United Nations has long put on the discussion agenda the sustainability challenges of ur- banization, which have both direct and indirect effects on future regulation strategies. Undoubtedly, most initiatives target better quality of life, improved access to services &amp; goods and environment pro- tection. As commercial aerial urban transportation may become a feasible research goal in the near future, the connection possibilities between cities and regions scale up. It is expected that the growing number of vertical takeoff &amp; landing vehicles used for passenger and goods transportation will change the infrastructure of the cities, and will have a significant effect on the cityscapes as well. In addition to the widely discussed regulatory and safety issues, the introduction of elevated traffic also raises environmental concerns, which influences the existing and required service and control infrastructure, and thus significantly affects sustainability. This paper provides narrated overview of the most common aspects of safety, licensing and regulations for passenger vertical takeoff &amp; landing vehicles, and highlights the most important aspects of infrastructure planning, design and operation, which should be taken into account to maintain and efficiently operate this new way of transportation, leading to a sustainable urban air mobility ecosystem.","url":"https://arxiv.org/abs/2305.01398v1","authors":["Árpád Takács","Tamás Haidegger"],"tags":["eess.SY"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2023-05-02T13:16:29Z","addedAt":"2026-08-06T22:48:46.008Z"},{"id":"arxiv:2503.02690v1","name":"Generative Modeling of Microweather Wind Velocities for Urban Air Mobility","source":"arxiv","abstract":"Motivated by the pursuit of safe, reliable, and weather-tolerant urban air mobility (UAM) solutions, this work proposes a generative modeling approach for characterizing microweather wind velocities. Microweather, or the weather conditions in highly localized areas, is particularly complex in urban environments owing to the chaotic and turbulent nature of wind flows. Furthermore, traditional means of assessing local wind fields are not generally viable solutions for UAM applications: 1) field measurements that would rely on permanent wind profiling systems in operational air space are not practical, 2) physics-based models that simulate fluid dynamics at a sufficiently high resolution are not computationally tractable, and 3) data-driven modeling approaches that are largely deterministic ignore the inherent variability in turbulent flows that dictates UAM reliability. Thus, advancements in predictive capabilities are needed to help mitigate the unique operational safety risks that microweather winds pose for smaller, lighter weight UAM aircraft. This work aims to model microweather wind velocities in a manner that is computationally-efficient, captures random variability, and would only require a temporary, rather than permanent, field measurement campaign. Inspired by recent breakthroughs in conditional generative AI such as text-to-image generation, the proposed approach learns a probabilistic macro-to-microweather mapping between regional weather forecasts and measured local wind velocities using generative modeling (denoising diffusion probabilistic models, flow matching, and Gaussian mixture models). A simple proof of concept was implemented using a dataset comprised of local (micro) measurements from a Sonic Detection and Ranging (SoDAR) wind profiler along with (macro) forecast data from a nearby weather station over the same time period.","url":"https://arxiv.org/abs/2503.02690v1","authors":["Tristan A. Shah","Michael C. Stanley","James E. Warner"],"tags":["cs.CE","cs.LG","physics.ao-ph"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2025-03-04T15:03:15Z","addedAt":"2026-08-06T22:48:46.008Z"},{"id":"arxiv:2607.21906v1","name":"A Knowledge-Grounded Behavioral Reasoning Framework for Training-Free Urban Healthcare OD Prediction","source":"arxiv","abstract":"Understanding urban healthcare mobility is essential for healthcare resource allocation, hospital capacity planning, and resilient urban governance. Existing healthcare origin-destination (OD) prediction methods primarily rely on supervised deep learning, requiring expensive model training while providing limited interpretability into the behavioral mechanisms of hospital choice. This paper presents a training-free urban healthcare OD prediction framework based on knowledge-grounded behavioral reasoning, replacing gradient-based neural network learning with collaborative LLM reasoning over structured urban knowledge. The framework organizes heterogeneous urban information, including healthcare resources, population characteristics, transportation accessibility, weather conditions, and historical mobility, into a unified knowledge graph, enabling evidence retrieval, urban context understanding, behavioral reasoning, preference ranking, and Bayesian verification through a multi-agent reasoning pipeline. Experiments on a real-world Shenzhen dataset containing 137 hospitals and 6,341 prediction tasks demonstrate that the proposed framework achieves CPC = 0.5449, Top-1 = 66.19%, Top-5 = 68.03%, and Top-10 = 74.03%, consistently outperforming conventional deep learning baselines on all Top-K metrics (e.g., Top-5 improves by 22.1% over MLP). Compared with Direct LLM using the same backbone without structured reasoning, the proposed framework improves CPC by 87.5% and Top-1 accuracy by 141%, demonstrating that knowledge-grounded behavioral reasoning, rather than raw LLM capability, is the key to accurate, interpretable, and training-free healthcare OD prediction. These findings highlight the potential of urban intelligence to move healthcare mobility modeling beyond data fitting toward knowledge-driven behavioral reasoning.","url":"https://arxiv.org/abs/2607.21906v1","authors":["Linzhen Yang","Xueliang Liu","Chengbo Zhang","Meng Meng"],"tags":["physics.soc-ph"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2026-07-24T02:21:34Z","addedAt":"2026-08-06T22:48:46.008Z"},{"id":"arxiv:2406.07298v1","name":"Enhanced In-Flight Connectivity for Urban Air Mobility via LEO Satellite Networks","source":"arxiv","abstract":"Urban Air Mobility (UAM) is the envisioned future of inter-city aerial transportation. This paper presents a novel, in-flight connectivity link allocation method for UAM, which dynamically switches between terrestrial cellular and Low Earth Orbit (LEO) satellite networks based on real-time conditions. Our approach prefers cellular networks for cost efficiency, switching to LEO satellites under poor cellular conditions to ensure continuous UAM connectivity. By integrating real-time metrics like signal strength, network congestion, and flight trajectory into the selection process, our algorithm effectively balances cost, minimum data rate requirements, and continuity of communication. Numerical results validate minimization of data-loss while ensuring an optimal selection from the set of available above-threshold data rates at every time sample. Furthermore, insights derived from our study emphasize the importance of hybrid connectivity solutions in ensuring seamless, uninterrupted communication for future urban aerial vehicles.","url":"https://arxiv.org/abs/2406.07298v1","authors":["Karnika Biswas","Hakim Ghazzai","Abdullah Khanfor","Lokman Sboui"],"tags":["cs.ET","eess.SP"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2024-06-11T14:27:40Z","addedAt":"2026-08-06T22:48:46.008Z"},{"id":"arxiv:2106.12107v1","name":"Diversity and density of urban functions in station areas","source":"arxiv","abstract":"The diversity and density of urban functions have been known to affect urban vibrancy positively, but the relation between the two has not been empirically examined; if high density is associated with low diversity in an area, its vibrancy may not increase. To obtain a better understanding of the metabolism of cities and directions for urban planning interventions, this paper offers empirical evidence on the association between the diversity and density of urban functions in the Tokyo Metropolitan Area, using a robust density index that was determined via a Monte Carlo simulation. By conducting association analyses, it was found that highly dense station areas tended to display low diversity at multiple scales. Further investigation indicated that this negative correlation was owing to different spatial characteristics of functions and complementary functioning among highly accessible station areas. This paper argues for considering both diversity and density in urban planning to make station areas vibrant and resilient.","url":"https://arxiv.org/abs/2106.12107v1","authors":["Yusuke Kumakoshi","Hideki Koizumi","Yuji Yoshimura"],"tags":["cs.CY"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2021-06-23T00:51:44Z","addedAt":"2026-08-06T22:48:46.008Z"},{"id":"arxiv:2511.22550v1","name":"Mapping urban air quality using mobile and fixed low cost sensors: a model comparison","source":"arxiv","abstract":"This study addresses the critical challenge of modeling and mapping urban air quality to ascertain pollutant concentrations in unmonitored locations. The advent of low-cost sensors, particularly those deployed in vehicular networks, presents novel datasets that hold the potential to enhance air quality modeling. This research conducts a comprehensive review of ten statistical models drawn from existing literature, using both fixed and mobile low-cost sensor data, alongside ancillary variables, within the urban confines of Nantes, France. Employing a methodology that includes cross-validation of data from low-cost sensors and validation on fixed air quality monitoring stations, this paper evaluates the models' performance in scenarios of temporal interpolation and prediction. Our findings reveal a pronounced bias in the model outputs when reliant on low-cost sensor data compared to the verification data obtained from fixed stations. Furthermore, machine learning models demonstrated superior performance in predictive scenarios, suggesting their enhanced suitability for forecasting tasks. The study conclusively indicates that reliance solely on data from low-cost mobile sensors compromises the reliability of air quality models, due to significant accuracy deficiencies. Consequently, we advocate for a directed focus towards the integration and calibration of low-cost sensor data with information from fixed monitoring stations. This approach, rather than an exclusive emphasis on the complexity of statistical modeling techniques, is pivotal for achieving the precision required for effective air quality management and policy-making.","url":"https://arxiv.org/abs/2511.22550v1","authors":["Yacine Mohamed Idir","Olivier Orfila","Patrice Chatellier","Vincent Judalet","Valentin Guaffre"],"tags":["stat.AP"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2025-11-27T15:36:03Z","addedAt":"2026-08-06T22:48:46.008Z"},{"id":"arxiv:2501.08933v1","name":"Separation Assurance in Urban Air Mobility Systems using Shared Scheduling Protocols","source":"arxiv","abstract":"Ensuring safe separation between aircraft is a critical challenge in air traffic management, particularly in urban air mobility (UAM) environments where high traffic density and low altitudes require precise control. In these environments, conflicts often arise at the intersections of flight corridors, posing significant risks. We propose a tactical separation approach leveraging shared scheduling protocols, originally designed for Ethernet networks and operating systems, to coordinate access to these intersections. Using a decentralized Markov decision process framework, the proposed approach enables aircraft to autonomously adjust their speed and timing as they navigate these critical areas, maintaining safe separation without a central controller. We evaluate the effectiveness of this approach in simulated UAM scenarios, demonstrating its ability to reduce separation violations to zero while acknowledging trade-offs in flight times as traffic density increases. Additionally, we explore the impact of non-compliant aircraft, showing that while shared scheduling protocols can no longer guarantee safe separation, they still provide significant improvements over systems without scheduling protocols.","url":"https://arxiv.org/abs/2501.08933v1","authors":["Surya Murthy","Tyler Ingebrand","Sophia Smith","Ufuk Topcu","Peng Wei","Natasha Neogi"],"tags":["cs.MA"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2025-01-15T16:35:10Z","addedAt":"2026-08-06T22:48:46.008Z"},{"id":"arxiv:2107.12829v1","name":"Conflict-Free Four-Dimensional Path Planning for Urban Air Mobility Considering Airspace Occupations","source":"arxiv","abstract":"Urban air mobility (UAM) has attracted the attention of aircraft manufacturers, air navigation service providers and governments in recent years. Preventing the conflict among urban aircraft is crucial to UAM traffic safety, which is a key in enabling large scale UAM operation. Pre-flight conflict-free path planning can provide a strategic layer in the maintenance of safety performance, thus becomes an important element in UAM. This paper aims at tackling conflict-free path planning problem for UAM operation with a consideration of four-dimensional airspace management. In the first place, we introduced and extended a four-dimensional airspace management concept, AirMatrix. On the basis of AirMatrix, we formulated the shortest flight time path planning problem considering resolution of conflicts with both static and dynamic obstacles. A Conflict-Free A-Star algorithm was developed for planning four-dimensional paths based on first-come-first-served scheme. The algorithm contains a novel design of heuristic function as well as a conflict detection and resolution strategy. Numerical experiment was carried out in Jurong East area in Singapore, and the results show that the algorithm can generate paths resolving a significant number of potential conflicts in airspace utilization, with acceptable computational time and flight delay. The contributions of this study provide references for stakeholders to support the development of UAM.","url":"https://arxiv.org/abs/2107.12829v1","authors":["Wei Dai","Bizhao Pang","Kin Huat Low"],"tags":["eess.SY"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2021-07-27T13:54:42Z","addedAt":"2026-08-06T22:48:46.008Z"},{"id":"arxiv:2607.15690v1","name":"Obstacle-Aware Four-Dimensional Trajectory Design for Urban Air Mobility","source":"arxiv","abstract":"Urban Air Mobility (UAM) with electric Vertical TakeOff and Landing (eVTOL) vehicles can help address ground traffic congestion. The design of an eVTOL trajectory that is safe and reduces travel time is key for UAM adoption. Existing works on trajectory design either may not adequately incorporate dense obstacles in urban environments, complex eVTOL flight dynamics, or one or more flight phases. Not considering these factors can result in low-quality, or worse infeasible, trajectories. We develop a hybrid framework that can integrate building obstacles data, wind data, eVTOL flight dynamics, and other real-world operational constraints to estimate a four-dimensional eVTOL flight trajectory in ascent, cruise, and descent that aims to minimize travel time. Our framework first fills the obstacle-free regions with intersecting convex polygons, then identifies potentially low-travel time candidate sequences of these polygons using a Graph of Convex Sets-based path planner, and then uses an Optimal Control Program to give the final trajectory that passes through the polygons in a sequence identified before. We evaluate our framework on routes within New York City. Our framework can design trajectories respecting the above constraints in the presence of as many as 250 building obstacles. We show that not including the above constraints can underestimate the flight time by as much as 20\\%.","url":"https://arxiv.org/abs/2607.15690v1","authors":["Prasad Devkar","Yashovardhan S. Chati","Arunchandar Vasan"],"tags":["eess.SY"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2026-07-17T07:06:38Z","addedAt":"2026-08-06T22:48:46.008Z"},{"id":"arxiv:2309.15621v1","name":"A City-centric Approach to Estimate and Evaluate Global Urban Air Mobility Demand","source":"arxiv","abstract":"Urban Air Mobility (UAM) is expected to effectively complement the existing transportation system by providing fast and safe travel options, contributing to decarbonization, and providing benefits to citizens and communities. A preliminary estimate of the potential global demand for UAM, the associated aircraft movements, and the required vehicles is essential for the UAM industry for their long-term planning, but also of interest to other stakeholders such as governments and transportation planners to develop appropriate strategies and actions to implement UAM. This paper proposes a city-centric forecasting methodology that provides preliminary estimates of the potential global UAM demand for intra-city air taxi services for 990 cities worldwide. By summing all city-specific results, an estimate of the global UAM demand is obtained. By varying the parameters of the UAM system, sensitivity studies and different market scenarios are developed and analyzed. Sensitivity analyses show how strongly demand decreases when air taxi ticket prices increase. Considering low ticket prices and high vertiport densities, possible market development scenarios show that there is a market potential for UAM in over 200 cities worldwide by 2050. The study highlights the significant impact of low ticket prices and the need for high vertiport densities to drive UAM demand. This highlights the need for careful optimization of system components to minimize costs and increase the quality of UAM services.","url":"https://arxiv.org/abs/2309.15621v1","authors":["Lukas Asmer","Roman Jaksche","Henry Pak","Petra Kokus"],"tags":["eess.SY","physics.soc-ph"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2023-09-27T12:38:22Z","addedAt":"2026-08-06T22:48:46.008Z"},{"id":"arxiv:2306.11647v1","name":"Safe and Scalable Real-Time Trajectory Planning Framework for Urban Air Mobility","source":"arxiv","abstract":"This paper presents a real-time trajectory planning framework for Urban Air Mobility (UAM) that is both safe and scalable. The proposed framework employs a decentralized, free-flight concept of operation in which each aircraft independently performs separation assurance and conflict resolution, generating safe trajectories by accounting for the future states of nearby aircraft. The framework consists of two main components: a data-driven reachability analysis tool and an efficient Markov Decision Process (MDP) based decision maker. The reachability analysis over-approximates the reachable set of each aircraft through a discrepancy function learned online from simulated trajectories. The decision maker, on the other hand, uses a 6-degrees-of-freedom guidance model of fixed-wing aircraft to ensure collision-free trajectory planning. Additionally, the proposed framework incorporates reward shaping and action shielding techniques to enhance safety performance. The proposed framework is evaluated through simulation experiments involving up to 32 aircraft in a UAM setting, with performance measured by the number of Near Mid Air Collisions (NMAC) and computational time. The results demonstrate the safety and scalability of the proposed framework.","url":"https://arxiv.org/abs/2306.11647v1","authors":["Abenezer Taye","Roberto Valenti","Akshay Rajhans","Anastasia Mavrommati","Pieter J. Mosterman","Peng Wei"],"tags":["cs.RO","eess.SY"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2023-06-20T16:16:38Z","addedAt":"2026-08-06T22:48:46.008Z"},{"id":"arxiv:2509.20306v1","name":"Certified Learning-Enabled Noise-Aware Motion Planning for Urban Air Mobility","source":"arxiv","abstract":"Urban Air Mobility (UAM) has emerged as a promising solution to alleviate urban congestion and transportation challenges. Nevertheless, the noise generated by eVTOL aircrafts poses a significant barrier to public acceptance and regulatory approval, potentially limiting the operational scope and scalability of UAM systems. Hence, the successful adoption of UAM systems hinges on the ability to predict generated noise levels, and further develop motion planning strategies that comply with community-level noise regulations while maintaining operational efficiency. To this end, this paper proposes a novel noise-aware motion planning framework for UAM systems that ensures compliance with noise regulations. We first develop a certifiable neural network model to accurately predict eVTOL noise propagation patterns in urban environments, providing provable bounds on its correctness. To achieve a desired level of accuracy, we propose an active sampling strategy to efficiently build the dataset used to train and test the noise model. Next, we develop a noise-aware motion planning algorithm that utilizes the noise model to generate eVTOL trajectories that guarantee compliance with community noise regulations. The algorithm exploits the monotonic structure of the noise model to efficiently sample the configuration space, ensuring that the generated trajectories are both noise-compliant and operationally efficient. We demonstrate the effectiveness of the proposed framework through a number of experiments for Vahana eVTOLs. The results show that the framework can generate noise-compliant flight plans for a fleet of eVTOLs that adhere to community noise regulations while optimizing operational efficiency.","url":"https://arxiv.org/abs/2509.20306v1","authors":["Jaejeong Park","Mahmoud Elfar","Cody Fleming","Yasser Shoukry"],"tags":["eess.SY"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2025-09-24T16:37:43Z","addedAt":"2026-08-06T22:48:46.008Z"},{"id":"arxiv:1804.07891v3","name":"A Deep Learning Approach for Forecasting Air Pollution in South Korea Using LSTM","source":"arxiv","abstract":"Tackling air pollution is an imperative problem in South Korea, especially in urban areas, over the last few years. More specially, South Korea has joined the ranks of the world's most polluted countries alongside with other Asian capitals, such as Beijing or Delhi. Much research is being conducted in environmental science to evaluate the dangerous impact of particulate matters on public health. Besides that, deterministic models of air pollutant behavior are also generated; however, this is both complex and often inaccurate. On the contrary, deep recurrent neural network reveals potent potential on forecasting out-comes of time-series data and has become more prevalent. This paper uses Recurrent Neural Network (RNN) with Long Short-Term Memory units as a framework for leveraging knowledge from time-series data of air pollution and meteorological information in Daegu, Seoul, Beijing, and Shenyang. Additionally, we use encoder-decoder model, which is similar to machine comprehension problems, as a crucial part of our prediction machine. Finally, we investigate the prediction accuracy of various configurations. Our experiments prevent the efficiency of integrating multiple layers of RNN on prediction model when forecasting far timesteps ahead. This research is a significant motivation for not only continuing researching on urban air quality but also help the government leverage that insight to enact beneficial policies","url":"https://arxiv.org/abs/1804.07891v3","authors":["Tien-Cuong Bui","Van-Duc Le","Sang-Kyun Cha"],"tags":["cs.LG","cs.CY","stat.ML"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2018-04-21T05:07:47Z","addedAt":"2026-08-06T22:48:46.008Z"},{"id":"arxiv:2202.10205v2","name":"Partial Dyck paths with Air Pockets","source":"arxiv","abstract":"Dyck paths with air pockets are obtained from ordinary Dyck paths by compressing maximal runs of down-steps into giant down-steps of arbitrary size. Using the kernel method, we consider partial Dyck paths with air pockets, both, from left to right and from right to left.","url":"https://arxiv.org/abs/2202.10205v2","authors":["Helmut Prodinger"],"tags":["math.CO"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2022-02-21T13:27:55Z","addedAt":"2026-08-06T22:48:46.008Z"},{"id":"arxiv:2607.04495v1","name":"U3DWind: A Low Altitude Wind Field Dataset and Benchmark for Urban Air Mobility","source":"arxiv","abstract":"Urban Air Mobility (UAM) requires reliable assessment of low-altitude wind hazards, because winds, gusts, and building-induced turbulence have been recognized as critical factors affecting vehicle stability, route feasibility, vertiport siting, and airspace management. While wind-tunnel experiments, computational fluid dynamics (CFD), multiscale downscaling, reduced-order models, and UAV planning datasets have advanced wind-aware analysis, public resources for data-driven, city-scale UAM planning remain limited in geographic coverage, scenario diversity, vertical extent, building realism, and task-oriented benchmarking. To address this gap, we introduce U3DWind, a building-resolved low-altitude wind-field dataset generated using our GPU-accelerated Lattice Boltzmann Method--Large-Eddy Simulation (LBM-LES) framework for rapid urban flow simulation. U3DWind covers five megacities in China: Beijing, Shanghai, Guangzhou, Shenzhen, and Hong Kong. It contains 720 simulations, with 16 inflow directions, three reference wind speeds, and three seasonal atmospheric scenarios (annual, summer, and winter) for each city. At a 10 m grid resolution, the dataset provides three-dimensional three-component (3D3C) velocity, turbulent kinetic energy (TKE), flow density, and fluid--solid masks. To support operationally relevant evaluation, we further define five baseline tasks: wind-field prediction, sparse-sensor wind-field reconstruction, site wind-exposure ranking, airworthiness wind-compliance risk scoring, and noise propagation modeling. As a multi-city, building-resolved 3D urban wind-field dataset, U3DWind enables systematic evaluation of wind-induced impacts in low-altitude traffic scenarios and provides an open benchmark for urban airspace management and data-driven high-fidelity urban flow simulation.","url":"https://arxiv.org/abs/2607.04495v1","authors":["Shixiong Zhou","Huanxia Wei","Chao Xia","Yingying Xing","Changmin Jiang","Hai Yang","Shuai Jia"],"tags":["physics.flu-dyn","physics.geo-ph"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2026-07-05T20:42:09Z","addedAt":"2026-08-06T22:48:46.008Z"},{"id":"arxiv:1805.05195v2","name":"An Urban Morphogenesis Model Capturing Interactions between Networks and Territories","source":"arxiv","abstract":"Urban systems are composed by complex couplings of several components, and more particularly between the built environment and transportation networks. Their interaction is involved in the emergence of the urban form. We propose in this chapter to introduce an approach to urban morphology grasping both aspects and their interaction. We first define complementary measures, study their empirical values and their spatial correlations on European territorial systems. The behavior of indicators and correlations suggest underlying non-stationary and multi-scalar processes. We then introduce a generative model of urban growth at a mesoscopic scale. Given a fixed exogenous growth rate, population is distributed following a preferential attachment depending on a potential controlled by the local urban form (density, distance to network) and network measures (centralities and generalized accessibilities), and then diffused in space to capture urban sprawl. Network growth is included through a multi-modeling paradigm: implemented heuristics include biological network generation and gravity potential breakdown. The model is calibrated both at the first (measures) and second (correlations) order, the later capturing indirectly relations between networks and territories.","url":"https://arxiv.org/abs/1805.05195v2","authors":["Juste Raimbault"],"tags":["physics.soc-ph"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2018-05-10T23:38:41Z","addedAt":"2026-08-06T22:48:46.008Z"},{"id":"arxiv:2406.09998v1","name":"Understanding Pedestrian Movement Using Urban Sensing Technologies: The Promise of Audio-based Sensors","source":"arxiv","abstract":"While various sensors have been deployed to monitor vehicular flows, sensing pedestrian movement is still nascent. Yet walking is a significant mode of travel in many cities, especially those in Europe, Africa, and Asia. Understanding pedestrian volumes and flows is essential for designing safer and more attractive pedestrian infrastructure and for controlling periodic overcrowding. This study discusses a new approach to scale up urban sensing of people with the help of novel audio-based technology. It assesses the benefits and limitations of microphone-based sensors as compared to other forms of pedestrian sensing. A large-scale dataset called ASPED is presented, which includes high-quality audio recordings along with video recordings used for labeling the pedestrian count data. The baseline analyses highlight the promise of using audio sensors for pedestrian tracking, although algorithmic and technological improvements to make the sensors practically usable continue. This study also demonstrates how the data can be leveraged to predict pedestrian trajectories. Finally, it discusses the use cases and scenarios where audio-based pedestrian sensing can support better urban and transportation planning.","url":"https://arxiv.org/abs/2406.09998v1","authors":["Chaeyeon Han","Pavan Seshadri","Yiwei Ding","Noah Posner","Bon Woo Koo","Animesh Agrawal","Alexander Lerch","Subhrajit Guhathakurta"],"tags":["eess.AS","cs.AI","cs.LG","cs.MM","cs.SD"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2024-06-14T13:15:18Z","addedAt":"2026-08-06T22:48:46.008Z"},{"id":"arxiv:2502.00399v1","name":"Integrating Urban Air Mobility with Highway Infrastructure: A Strategic Approach for Vertiport Location Selection in the Seoul Metropolitan Area","source":"arxiv","abstract":"This study focuses on identifying suitable locations for highway-transfer Vertiports to integrate Urban Air Mobility (UAM) with existing highway infrastructure. UAM offers an effective solution for enhancing transportation accessibility in the Seoul Metropolitan Area, where conventional transportation often struggle to connect suburban employment zones such as industrial parks. By integrating UAM with ground transportation at highway facilities, an efficient connectivity solution can be achieved for regions with limited transportation options. Our proposed methodology for determining the suitable Vertiport locations utilizes data such as geographic information, origin-destination volume, and travel time. Vertiport candidates are evaluated and selected based on criteria including location desirability, combined transportation accessibility and transportation demand. Applying this methodology to the Seoul metropolitan area, we identify 56 suitable Vertiport locations out of 148 candidates. The proposed methodology offers a strategic approach for the selection of highway-transfer Vertiport locations, enhancing UAM integration with existing transportation systems. Our study provides valuable insights for urban planners and policymakers, with recommendations for future research to include real-time environmental data and to explore the impact of Mobility-as-a-Service on UAM operations.","url":"https://arxiv.org/abs/2502.00399v1","authors":["Donghyun Yoon","Minwoo Jeong","Jinyong Lee","Seyun Kim","Yoonjin Yoon"],"tags":["cs.CY"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2025-02-01T11:25:33Z","addedAt":"2026-08-06T22:48:46.008Z"},{"id":"arxiv:2109.04606v2","name":"Probabilistic Guaranteed Path Planning for Safe Urban Air Mobility Using Chance Constrained RRT","source":"arxiv","abstract":"Safety is a critical concern for the success of urban air mobility, especially in dynamic and uncertain environments. This paper proposes a path planning algorithm based on RRT in conjunction with chance constraints in the presence of uncertain obstacles. The chance-constrained formulation for Gaussian distributed obstacles is developed by converting the probabilistic constraints to deterministic constraints in terms of distribution parameters. The probabilistic feasible region at every time step can be established through the simulation of the system state and the evaluation of convex constraints. Through establishing chance-constrained RRT, the algorithm not only enjoys the benefits of sampling-based algorithms but also incorporates uncertainty into the formulation. Simulation results demonstrate that the planning for a trajectory connecting the starting and goal point in accordance with the requirement of probabilistic obstacle avoidance can be achieved by the utilization of this algorithm.","url":"https://arxiv.org/abs/2109.04606v2","authors":["Pengcheng Wu","Lin Li","Junfei Xie","Jun Chen"],"tags":["cs.RO","eess.SY"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2021-09-10T01:14:51Z","addedAt":"2026-08-06T22:48:46.008Z"},{"id":"arxiv:1907.05575v1","name":"Learning an Urban Air Mobility Encounter Model from Expert Preferences","source":"arxiv","abstract":"Airspace models have played an important role in the development and evaluation of aircraft collision avoidance systems for both manned and unmanned aircraft. As Urban Air Mobility (UAM) systems are being developed, we need new encounter models that are representative of their operational environment. Developing such models is challenging due to the lack of data on UAM behavior in the airspace. While previous encounter models for other aircraft types rely on large datasets to produce realistic trajectories, this paper presents an approach to encounter modeling that instead relies on expert knowledge. In particular, recent advances in preference-based learning are extended to tune an encounter model from expert preferences. The model takes the form of a stochastic policy for a Markov decision process (MDP) in which the reward function is learned from pairwise queries of a domain expert. We evaluate the performance of two querying methods that seek to maximize the information obtained from each query. Ultimately, we demonstrate a method for generating realistic encounter trajectories with only a few minutes of an expert's time.","url":"https://arxiv.org/abs/1907.05575v1","authors":["Sydney M. Katz","Anne-Claire Le Bihan","Mykel J. Kochenderfer"],"tags":["cs.AI"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2019-07-12T04:44:10Z","addedAt":"2026-08-06T22:48:46.008Z"},{"id":"arxiv:2506.11720v1","name":"Modeling Urban Air Quality Using Taxis as Sensors","source":"arxiv","abstract":"Monitoring urban air quality with high spatiotemporal resolution continues to pose significant challenges. We investigate the use of taxi fleets as mobile sensing platforms, analyzing over 100 million PM2.5 readings from more than 3,000 vehicles across six major U.S. cities during one year. Our findings show that taxis provide fine-grained, street-level air quality insights while ensuring city-wide coverage. We further explore urban air quality modeling using traffic congestion, built environment, and human mobility data to predict pollution variability. Our results highlight geography-specific seasonal patterns and demonstrate that models based solely on traffic and wind speeds effectively capture a city's pollution dynamics. This study establishes taxi fleets as a scalable, near-real-time air quality monitoring tool, offering new opportunities for environmental research and data-driven policymaking.","url":"https://arxiv.org/abs/2506.11720v1","authors":["Anastasios Noulas","Yasin Acikmese","Charles QC LI","Milan Y. Patel","Shazia Ayn Babul","Ronald C. Cohen","Renaud Lambiotte","Marta C. Gonzalez"],"tags":["physics.soc-ph"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2025-06-13T12:35:14Z","addedAt":"2026-08-06T22:48:46.008Z"},{"id":"arxiv:2307.03401v1","name":"Metropolitan Scale and Longitudinal Dataset of Anonymized Human Mobility Trajectories","source":"arxiv","abstract":"Modeling and predicting human mobility trajectories in urban areas is an essential task for various applications. The recent availability of large-scale human movement data collected from mobile devices have enabled the development of complex human mobility prediction models. However, human mobility prediction methods are often trained and tested on different datasets, due to the lack of open-source large-scale human mobility datasets amid privacy concerns, posing a challenge towards conducting fair performance comparisons between methods. To this end, we created an open-source, anonymized, metropolitan scale, and longitudinal (90 days) dataset of 100,000 individuals' human mobility trajectories, using mobile phone location data. The location pings are spatially and temporally discretized, and the metropolitan area is undisclosed to protect users' privacy. The 90-day period is composed of 75 days of business-as-usual and 15 days during an emergency. To promote the use of the dataset, we will host a human mobility prediction data challenge (`HuMob Challenge 2023') using the human mobility dataset, which will be held in conjunction with ACM SIGSPATIAL 2023.","url":"https://arxiv.org/abs/2307.03401v1","authors":["Takahiro Yabe","Kota Tsubouchi","Toru Shimizu","Yoshihide Sekimoto","Kaoru Sezaki","Esteban Moro","Alex Pentland"],"tags":["cs.SI","physics.soc-ph"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2023-07-07T05:57:58Z","addedAt":"2026-08-06T22:48:46.008Z"},{"id":"arxiv:2003.12205v1","name":"AirRL: A Reinforcement Learning Approach to Urban Air Quality Inference","source":"arxiv","abstract":"Urban air pollution has become a major environmental problem that threatens public health. It has become increasingly important to infer fine-grained urban air quality based on existing monitoring stations. One of the challenges is how to effectively select some relevant stations for air quality inference. In this paper, we propose a novel model based on reinforcement learning for urban air quality inference. The model consists of two modules: a station selector and an air quality regressor. The station selector dynamically selects the most relevant monitoring stations when inferring air quality. The air quality regressor takes in the selected stations and makes air quality inference with deep neural network. We conduct experiments on a real-world air quality dataset and our approach achieves the highest performance compared with several popular solutions, and the experiments show significant effectiveness of proposed model in tackling problems of air quality inference.","url":"https://arxiv.org/abs/2003.12205v1","authors":["Huiqiang Zhong","Cunxiang Yin","Xiaohui Wu","Jinchang Luo","JiaWei He"],"tags":["cs.LG","cs.AI","eess.SP","stat.ML"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2020-03-27T02:04:00Z","addedAt":"2026-08-06T22:48:46.008Z"},{"id":"arxiv:1705.01986v4","name":"Measuring the Complexity of Urban Form and Design","source":"arxiv","abstract":"Complex systems have become a popular lens for analyzing cities and complexity theory has many implications for urban performance and resilience. This paper develops a typology of measures and indicators for assessing the physical complexity of the built environment at the scale of urban design. It extends quantitative measures from city planning, network science, ecosystems studies, fractal geometry, statistical physics, and information theory to the analysis of urban form and qualitative human experience. Metrics at multiple scales are scattered throughout diverse bodies of literature and have useful applications in analyzing the adaptive complexity that both evolves and results from local design processes. In turn, they enable urban designers to assess resilience, adaptability, connectedness, and livability with an advanced toolkit. The typology developed here applies to empirical research of various neighborhood types and design standards. It includes temporal, visual, spatial, scaling, and connectivity measures of the urban form. Today, prominent urban design movements openly embrace complexity but must move beyond inspiration and metaphor to formalize what \"complexity\" is and how we can use it to assess both the world as-is as well as proposals for how it could be instead.","url":"https://arxiv.org/abs/1705.01986v4","authors":["Geoff Boeing"],"tags":["physics.soc-ph"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2017-04-26T18:03:44Z","addedAt":"2026-08-06T22:48:46.008Z"},{"id":"arxiv:2008.05535v1","name":"Analysis of Fleet Management and Network Design for On-Demand Urban Air Mobility Operations","source":"arxiv","abstract":"A significant challenge in estimating operational feasibility of Urban Air Mobility (UAM) missions lies in understanding how choices in design impact the performance of a complex system-of-systems. This work examines the ability of the UAM ecosystem and the operations within it to meet a variety of demand profiles that may emerge in the coming years. We perform a set of simulation driven feasibility and scalability analyses based on UAM operational models with the goal of estimating capacity and throughput for a given set of parameters that represent an operational UAM ecosystem. UAM ecosystem design guidelines, vehicle constraints, and effective operational policies can be drawn from our analysis. Results show that, while critical for enabling UAM, the performance of the UAM ecosystem is robust to variations in ground infrastructure and fleet design decisions, while being sensitive to decisions for fleet and traffic management policies. We show that so long as the ecosystem design parameters for ground infrastructure and fleet design fall within a sensible range, the performance of the UAM ecosystem is affected by the policies used to manage the UAM traffic.","url":"https://arxiv.org/abs/2008.05535v1","authors":["Sheng Li","Maxim Egorov","Mykel J. Kochenderfer"],"tags":["cs.OH"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2020-08-07T21:39:54Z","addedAt":"2026-08-06T22:48:46.008Z"},{"id":"arxiv:2305.07110v1","name":"Dynamic Routing in Stochastic Urban Air Mobility Networks: A Markov Decision Process Approach","source":"arxiv","abstract":"Urban air mobility (UAM) is an emerging concept in short-range aviation transportation, where the aircraft will take off, land, and charge their batteries at a set of vertistops, and travel only through a set of flight corridors connecting these vertistops. We study the problem of routing an electric aircraft from its origin vertistop to its destination vertistop with the minimal expected total travel time. We first introduce a UAM network model that accounts for the limited battery capacity of aircraft, stochastic travel times of flight corridors, stochastic queueing delays, and a limited number of battery-charging stations at vertistops. Based on this model, we provide a sufficient condition for the existence of a routing strategy that avoids battery exhaustion. Furthermore, we show how to compute such a strategy by computing the optimal policy in a Markov decision process, a mathematical framework for decision-making in a stochastic dynamic environment. We illustrate our results using a case study with 29 vertistops and 137 flight corridors.","url":"https://arxiv.org/abs/2305.07110v1","authors":["Qinshuang Wei","Yue Yu","Ufuk Topcu"],"tags":["eess.SY"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2023-05-11T19:46:42Z","addedAt":"2026-08-06T22:48:46.008Z"},{"id":"arxiv:1810.10723v1","name":"Urban Healthcare Big Data System Based on Crowdsourced and Cloud-Based Air Quality Indicators","source":"arxiv","abstract":"The ever-accelerating process of globalization enables more than half the population to live in cities. Thus, the air quality in cities exerts critical influence on the health status of more and more urban residents. In this article, based on urban air quality data collected through meteorological sites, mobile crowdsourcing, and IoT sensing, along with users' body signals, we propose an urban healthcare big data system named UH-BigDataSys. In this article, we first introduce a method of integrating multi-source air quality data for the data preparation of artificial-intelligence-based smart urban services. Then a testbed of UH-BigDataSys is set up with the deployment of air-quality-aware healthcare applications. Finally, we provide health guidance for urban residents in aspects of respiratory diseases, outdoor travel, sleep quality, and so on. The ultimate goal of UH-BigDataSys is for urban residents to lead healthier lives.","url":"https://arxiv.org/abs/1810.10723v1","authors":["Min Chen","Jun Yang","Long Hu","M. Shamim Hossain","Ghulam Muhammad"],"tags":["cs.CY"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2018-10-25T05:28:35Z","addedAt":"2026-08-06T22:48:46.008Z"},{"id":"arxiv:2606.23008v1","name":"Scalable Online Flight Trajectory Optimization via Sequential Quadratic Programming for Urban Air Mobility in Ultra Low-Altitude Airspace","source":"arxiv","abstract":"As Urban Air Mobility (UAM) scales toward high-density operations, generating collision-free trajectories within complex 3D cityscapes is a critical safety requirement. This paper proposes a scalable Sequential Quadratic Programming (SQP) framework that integrates geometric environmental constraints, operational limits, and vehicle dynamics within a single online trajectory optimization process. Rather than precomputing obstacle-free corridors ahead of time, our method encodes obstacle avoidance as live separating-hyperplane constraints regenerated at every solver iteration, so that dense urban geometry and full-DOF vehicle dynamics are resolved jointly and online as the reference and environment evolve. A variable-scale quadtree decomposition keeps computation bounded, enabling the framework to scale to city-wide environments while preserving real-time performance for high-speed flight. We validate the framework against conventional SQP, Iterative Linear Quadratic Regulator, and Differential Dynamic Programming across flights in five real-world urban centers, attaining 100% success and clearance rates on CPU-only hardware.","url":"https://arxiv.org/abs/2606.23008v1","authors":["Josue N. Rivera","Bohang Liang","Chen Lv","James Wang"],"tags":["eess.SY","cs.ET"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2026-06-22T08:21:24Z","addedAt":"2026-08-06T22:48:46.008Z"},{"id":"arxiv:2005.02978v1","name":"City limits in the age of smartphones and urban scaling","source":"arxiv","abstract":"Urban planning still lacks appropriate standards to define city boundaries across urban systems. This issue has historically been left to administrative criteria, which can vary significantly across countries and political systems, hindering a comparative analysis across urban systems. However, the wide use of Information and Communication Technologies (ICT) has now allowed the development of new quantitative approaches to unveil how social dynamics relates to urban infrastructure. In fact, ICT provide the potential to portray more accurate descriptions of the urban systems based on the empirical analysis of millions of traces left by urbanites across the city. In this work, we apply computational techniques over a large volume of mobile phone records to define urban boundaries, through the analysis of travel patterns and the trajectory of urban dwellers in conurbations with more than 100,000 inhabitants in Chile. We created and analyzed the network of interconnected places inferred from individual travel trajectories. We then ranked each place using a spectral centrality method. This allowed to identify places of higher concurrency and functional importance for each urban environment. Urban scaling analysis is finally used as a diagnostic tool that allowed to distinguish urban from non-urban spaces. The geographic assessment of our method shows a high congruence with the current and administrative definitions of urban agglomerations in Chile. Our results can potentially be considered as a functional definition of the urban boundary. They also provide a practical implementation of urban scaling and data-driven approaches on cities as complex systems using increasingly larger non-conventional datasets.","url":"https://arxiv.org/abs/2005.02978v1","authors":["Boris Sotomayor-Gómez","Horacio Samaniego"],"tags":["physics.soc-ph","cs.CY"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2020-05-06T17:31:21Z","addedAt":"2026-08-06T22:48:46.008Z"},{"id":"arxiv:9901349v2","name":"Polarization in semileptonic B decays","source":"arxiv","abstract":"The paper gives the polarization of the tau lepton in the semileptonic B decays with respect to the direction of the virtual W boson. The result is given including the nonperturbative HQET corrections.The perturbative QCD corrections are probably negligible as suggested by the existing results for the longitudinal polarization of the charged lepton (Jezabek and Urban, 1998).","url":"https://arxiv.org/abs/hep-ph/9901349v2","authors":["M. Jezabek","P. Urban"],"tags":["hep-ph"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"1999-01-19T17:20:18Z","addedAt":"2026-08-06T22:48:46.008Z"},{"id":"arxiv:2312.11343v2","name":"Quantifying Barriers of Urban Mobility","source":"arxiv","abstract":"Barriers in cities, such as administrative boundaries, natural obstacles, railways or major roads are thought to induce segregation. However, the empirical knowledge about this phenomenon is limited. Here, we present a network science framework to assess barriers to urban mobility along their hierarchy, across residential areas and visited amenities. Using GPS mobility data, we construct a network of blocks from the sequence of individual stays in a major European city. A community detection algorithm allows us to partition this network into non-overlapping areas of dense mobility clusters, in which the effect of transportation hubs can be tuned with a parameter. We apply the Symmetric Area Difference index to quantify the overlap between these mobility clusters and the polygons of urban area separated by barriers. Reducing the effect of transportation hubs results in smaller scale mobility clusters that fit better to lower rank administrative or road barriers compared to their higher rank pairs. We find that characteristic urban barriers can replace each other in dividing mobility clusters of different scales. Next, we define the Barrier Crossing Ratio, the fraction of barrier crossings that bridge mobility clusters. The decomposition of this indicator by origins and destinations suggests a significantly higher impact of barriers on those who live closer to the city center and smaller impact on visits to complex amenities. These results contribute to the ongoing discourse on urban segregation, emphasizing the importance of barriers to urban mobility in shaping interactions and mixing.","url":"https://arxiv.org/abs/2312.11343v2","authors":["Gergő Pintér","Balázs Lengyel"],"tags":["physics.soc-ph"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2023-12-18T16:49:09Z","addedAt":"2026-08-06T22:48:46.008Z"},{"id":"doi:10.12794/metadc2481694","name":"Air-to-Air Modeling for Urban Air Mobility","source":"crossref","abstract":"Advanced Air Mobility (AAM) represents a shift within transportation that is transformative, improving connectivity across urban, suburban, and rural environments and addressing the limitations of customary ground infrastructure by leveraging unmanned aerial vehicles (UAVs) and electric vertical takeoff and landing (eVTOL) aircraft. AAM seeks to decongest the cities, accelerate the emergency response, and extend the important services to the underserved regions because it is supported by the U.S. Department of Transportation and NASA. According to projections, by 2030, AAM could enable a number up to 750 million annual air metro flights. This highlights AAM's transformative power for mobility later on. That which is central to operations that are safe and efficient for AAM is strong vehicle-to-vehicle (V2V) and air-to-air (A2A) communication for the reason that this communication enables exchange of real-time data plus coordinated flight inside airspace that is complex and three-dimensional. For the unique challenges of A2A communication including high mobility, varying altitudes, and dynamic urban propagation conditions, advanced traffic management and channel modeling solutions are demanded. Much of the research has been focused upon air-to-ground links, but this thesis understands A2A channels, especially in areas where signal obstructs urban environments. This work using Wireless InSite simulates A2A channels at operational altitudes from 122 to 1220 meters and distances reaching 2 kilometers it also seeks to increase AAM scalability and safety and enable its integration into the larger transportation ecosystem.","url":"https://doi.org/10.12794/metadc2481694","authors":["Sai Sruthi Ilapuram"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-10-14T01:17:21Z","addedAt":"2026-08-06T22:48:46.008Z","doi":"10.12794/metadc2481694","updatedAt":"2026-08-31T06:39:56.012Z"},{"id":"doi:10.32936/pssj.v6i2.335","name":"FUTURE AIR TRANSPORTATION RAMIFICATION: URBAN AIR MOBILITY (UAM) CONCEPT: URBAN AIR MOBILITY","source":"crossref","abstract":"Urban Air Mobility (UAM) is a new concept offered for solving urban transportation system problems, contributing to reducing traffic congestion, atmospheric pollution and mobility around metropolitan areas which is progressively an evolved aviation market. Facing the evolved dynamics in the airspace and on the ground, developed new technologies are able to withstand against destroy transportation infrastructures of the big cities, making it necessary to develop UAM services in the megapolises and regional transportation sector. Based on new technologies and modern business approaches, applying the next generation aviation infrastructure makes it capable of setting up a novel air traffic within the urban environment. This case study aims to explore the urban air transport advantages, particularly adoption of UAM, which might be an alternative next generation air transportation system. Referring to the collected operational data and design performances of the UAM, in this paper, we will try to describe a multi approach studying differences between traditional aviation transportation and UAM operation. The first step of the study consists of defining an airspace classification for UAM mission and use of applicable requirements for air navigation service providers and second part of the study describes performing UAM infrastructure and design of vertiports necessary for vertical take-off and landing (VTOL) vehicles. Detailed design specification is not included in this study but limited characteristics are indicated according to the VTOL manufacturer that are obtained from the test results. As far as VTOL vehicles have not started their mission yet, the UAM operators are at the stage of development to set up their future operation. The expected trend provides justifiable assumptions of the necessity of establishing the new transportation ramification within the aviation industry, upon transforming existing business activities and regulations.","url":"https://doi.org/10.32936/pssj.v6i2.335","authors":["Mehmet Necati CİZRELİOĞULLARI","Pınar BARUT","Tapdig IMANOV"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2022-08-31T17:46:35Z","addedAt":"2026-08-06T22:48:46.008Z","doi":"10.32936/pssj.v6i2.335","updatedAt":"2026-08-31T06:39:56.012Z"},{"id":"doi:10.1201/9781003339953-9","name":"Challenges in Charging of Batteries for Urban Air Mobility","source":"crossref","abstract":"","url":"https://doi.org/10.1201/9781003339953-9","authors":["K. Mohana Sundaram","B. Kavya Santhoshi"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-01-20T15:58:27Z","addedAt":"2026-08-06T22:48:46.008Z","doi":"10.1201/9781003339953-9","updatedAt":"2026-08-31T06:39:56.012Z"},{"id":"doi:10.4271/epr2021025","name":"Unsettled Issues Concerning Urban Air Mobility Infrastructure","source":"crossref","abstract":"&lt;div class=\"section abstract\"&gt;&lt;div class=\"htmlview paragraph\"&gt;Urban air mobility (UAM) refers to urban transportation systems that move people by air. UAM offers the potential for reducing traffic congestion in cities and providing an integrated approach to urban mobility. With the emergence of electric vertical takeoff and landing (eVTOL) aircraft, drone technology, and the possibility of automated aircraft, interest in this topic has grown considerably for private sector solution providers—including aerospace and technology companies—as well as urban planners and transportation professionals.&lt;/div&gt;&lt;div class=\"htmlview paragraph\"&gt;&lt;b&gt;Unsettled Issues Concerning Urban Air Mobility Infrastructure &lt;/b&gt;discusses the infrastructure requirements to effectively integrate UAM services into the overarching urban transportation system to enable multimodal trips and complete origin to destination travel. &lt;/div&gt;&lt;div class=\"htmlview paragraph\"&gt;&lt;a href=\"https://www.sae.org/publications/edge-research-reports\" target=\"_blank\"&gt;Click here to access the full SAE EDGE&lt;/a&gt;&lt;sup&gt;TM&lt;/sup&gt;&lt;a href=\"https://www.sae.org/publications/edge-research-reports\" target=\"_blank\"&gt; Research Report portfolio.&lt;/a&gt;&lt;/div&gt;&lt;/div&gt;","url":"https://doi.org/10.4271/epr2021025","authors":["Bob McQueen"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2021-11-16T10:15:36Z","addedAt":"2026-08-06T22:48:46.008Z","doi":"10.4271/epr2021025","updatedAt":"2026-08-31T06:39:56.012Z"},{"id":"doi:10.1016/j.urbmob.2025.100162","name":"Willingness to use urban air mobility (UAM) as an airport shuttle across levels of automation","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.urbmob.2025.100162","authors":["Soyeon Kim","Kaihan Zhang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-11-17T05:38:38Z","addedAt":"2026-08-06T22:48:46.008Z","doi":"10.1016/j.urbmob.2025.100162","updatedAt":"2026-08-31T06:39:56.012Z"},{"id":"doi:10.1201/9781003339953-10","name":"Safety and Security Challenges in Implementing Urban Air Mobility","source":"crossref","abstract":"","url":"https://doi.org/10.1201/9781003339953-10","authors":["Dhivya Rathinasamy","R. Sivaramakrishnan","R. Pavithra","Vishnu Kumar Kaliappan"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-01-20T15:58:27Z","addedAt":"2026-08-06T22:48:46.008Z","doi":"10.1201/9781003339953-10","updatedAt":"2026-08-31T06:39:56.012Z"},{"id":"doi:10.5194/icuc12-772","name":"WRF-LES based Urban Weather Forecast System for Korean Urban Air Mobility","source":"crossref","abstract":"Urban Air Mobility (UAM) is an emerging transportation concept that relies on precise and reliable urban meteorological forecasts to ensure safe and efficient operations. To address this need, a high-resolution urban weather forecast system has been developed as part of the Korean Urban Air Mobility (K-UAM) operating system. This system utilizes the Weather Research and Forecasting Large Eddy Simulation (WRF-LES) model, where nested domains are dynamically downscaled to achieve a 100-meter resolution, enabling precise predictions of fine-scale urban weather and turbulence. To enhance forecast accuracy, the system is integrated with WRF data assimilation, allowing the generation of high-resolution analyses at a high-frequency timescale. The model has been run over an extended period to assess its capability in realistically simulating turbulence characteristics at the UAM testbed in Ulsan, Korea. The simulation results of the forecast system are evaluated using an observational grid installed in the Ulsan area, ensuring the reliability and accuracy of the high-resolution urban weather predictions. Additionally, the initial results of data assimilation using WRF 4D-Var (Four-Dimensional Variational Data Assimilation) will be presented, demonstrating its impact on improving urban-scale weather forecasting. The results demonstrate the system's potential to support safe and efficient UAM operations by providing detailed urban meteorological insights.","url":"https://doi.org/10.5194/icuc12-772","authors":["Jihoon Shin"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-05-21T15:10:32Z","addedAt":"2026-08-06T22:48:46.008Z","doi":"10.5194/icuc12-772","updatedAt":"2026-08-31T06:39:56.012Z"},{"id":"doi:10.32657/10356/205441","name":"Intelligent risk-aware flight planning for urban air mobility","source":"crossref","abstract":"","url":"https://doi.org/10.32657/10356/205441","authors":["Xinting Hu"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-02-02T06:35:19Z","addedAt":"2026-08-06T22:48:46.008Z","doi":"10.32657/10356/205441","updatedAt":"2026-08-31T06:39:56.012Z"},{"id":"doi:10.22215/etd/2021-14678","name":"The Effects of Urban Settings on Airflow Characteristics for Urban Air Mobility Applications","source":"crossref","abstract":"","url":"https://doi.org/10.22215/etd/2021-14678","authors":["Maryam Al labbad"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2021-11-26T18:27:52Z","addedAt":"2026-08-06T22:48:46.008Z","doi":"10.22215/etd/2021-14678","updatedAt":"2026-08-31T06:39:56.012Z"},{"id":"doi:10.4324/9781351212991-4","name":"Urban air mobility","source":"crossref","abstract":"","url":"https://doi.org/10.4324/9781351212991-4","authors":["Paul Cureton"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2020-07-10T09:23:27Z","addedAt":"2026-08-06T22:48:46.008Z","doi":"10.4324/9781351212991-4","updatedAt":"2026-08-31T06:39:56.012Z"},{"id":"doi:10.32920/23329106","name":"Evolution of Navigation Displays for Urban Air Mobility Vehicles","source":"crossref","abstract":"&lt;p&gt;Throughout this report, studies have been conducted to explore the ways in which aviation navigation displays can be modified to ease the operation of UAM vehicles, more specifically in dense urban environments. The granularity of the data displayed to vehicle operators has been studied to determine what is necessary for optimum UAM vehicle movement. Discussion of the applicability in today’s relevant certification standards has also take place as a pathway towards integration in future production vehicles. Heavy emphasis has been placed on the enhanced detection of obstacles and terrain within the proximity of the vehicle. Serving as an enhancement and not a replacement, said detection capabilities have the potential to become part of current navigation display architectures.&lt;/p&gt;","url":"https://doi.org/10.32920/23329106","authors":["Jeffery Omorodion"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-06-07T19:22:52Z","addedAt":"2026-08-06T22:48:46.008Z","doi":"10.32920/23329106","updatedAt":"2026-08-31T06:39:56.012Z"},{"id":"doi:10.31219/osf.io/zjkm2","name":"Navigating Urban Skyways: A Computational Framework for Optimizing Urban Air Mobility","source":"crossref","abstract":"The evolution of urban landscapes has sparked interest in leveraging the skyways foralleviating terrestrial traffic congestion. This paper proposes a novel computationalframework to optimize Urban Air Mobility (UAM) operations by harnessing the power ofparallel computing and machine learning. Utilizing methodologies like OpenMP, MPI, CUDA,and deep learning, the framework facilitates real-time traffic flow modeling, routeoptimization, and operational efficiency for aerial transportation systems. The results reveal asubstantial enhancement in the UAM performance, showcasing a promising trajectorytowards the integration of aerial networks in urban transportation systems.","url":"https://doi.org/10.31219/osf.io/zjkm2","authors":["Harvey Lin"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-10-22T01:00:20Z","addedAt":"2026-08-06T22:48:46.008Z","doi":"10.31219/osf.io/zjkm2","updatedAt":"2026-08-31T06:39:56.012Z"},{"id":"doi:10.26226/m.63283143f30377bc3baf7c4e","name":"Vertiport Design Concepts and Standards for Urban Air Mobility","source":"crossref","abstract":"","url":"https://doi.org/10.26226/m.63283143f30377bc3baf7c4e","authors":["Jasenka Rakas"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-09-29T15:20:57Z","addedAt":"2026-08-06T22:48:46.008Z","doi":"10.26226/m.63283143f30377bc3baf7c4e","updatedAt":"2026-08-31T06:39:56.012Z"},{"id":"doi:10.17760/d20659750","name":"Towards real-time safe flight paths for urban air mobility","source":"crossref","abstract":"","url":"https://doi.org/10.17760/d20659750","authors":["Julian Gutierrez"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-05-14T19:55:40Z","addedAt":"2026-08-06T22:48:46.008Z","doi":"10.17760/d20659750","updatedAt":"2026-08-31T06:39:56.012Z"},{"id":"doi:10.1201/9781003339953-8","name":"Reinforcement Learning Approaches for Urban Air Mobility/Navigation and Traffic Control Systems","source":"crossref","abstract":"","url":"https://doi.org/10.1201/9781003339953-8","authors":["Sango Woo Jeon","J. Dharani","Min Dugki","Vishnu Kumar Kaliappan"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-01-20T15:58:27Z","addedAt":"2026-08-06T22:48:46.008Z","doi":"10.1201/9781003339953-8","updatedAt":"2026-08-31T06:39:56.012Z"},{"id":"doi:10.2139/ssrn.5173283","name":"Optimization of Unmanned Air Vehicles Trajectories in Urban Air Mobility","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.5173283","authors":["Zahraa Asfour","Sonia Cafieri","Andrija Vidosavljevic"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-03-10T21:37:29Z","addedAt":"2026-08-06T22:48:46.008Z","doi":"10.2139/ssrn.5173283","updatedAt":"2026-08-31T06:39:56.012Z"},{"id":"doi:10.1016/j.urbmob.2022.100018","name":"What if Air Quality Dictates Road Pricing? Simulation of an Air Pollution-based Road Charging Scheme","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.urbmob.2022.100018","authors":["Sandro Rodriguez Garzon","Marcel Reppenhagen","Marcel Müller"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2022-03-14T17:57:26Z","addedAt":"2026-08-06T22:48:46.008Z","doi":"10.1016/j.urbmob.2022.100018","updatedAt":"2026-08-31T06:39:56.012Z"},{"id":"doi:10.32920/32254782","name":"Resilient Navigation and Communication Architecture for Urban Air Mobility","source":"crossref","abstract":"&lt;p dir=\"ltr\"&gt;Urban Air Mobility (UAM) vehicles operating at Very Low Level (VLL) altitudes depend on GNSS navigation and external traffic management communication for safe autonomous operation, yet both subsystems are vulnerable to spoofing, jamming, and link degradation. This thesis designs and partially verifies a Resilient Navigation and Communication Architecture (RNCA) for a representative UAM vehicle, integrating three subsystems: an Integrity Monitoring Subsystem (IMS) based on the Normalised Innovation Squared (NIS) chi-square test, a Degraded-Mode Decision Module (DMDM) implementing a four-state graceful-degradation machine, and a Communication Resilience Policy (CRP) grounded in FAA and ICAO regulatory standards.&lt;/p&gt;&lt;p dir=\"ltr\"&gt;An Extended Kalman Filter (EKF) fuses GNSS position measurements and INS dead reckoning to produce the innovation vector monitored by the IMS. The analytically derived detection threshold γ = 9.2103 (from χ2inv(0.99, 2)) guarantees a false alarm rate below 1%. Simulation of a 10m GNSSstep-bias fault demonstrates detection latency td = 0.0s, satisfying FR-01. The DMDMexecutes the full Nominal → Caution → Degraded → Recovery → Nominal state cycle. The CRP parameters τmax = 2.0s and Lmax = 1.0s are derived from the FAA ConOps and ICAO UTMFramework respectively.&lt;/p&gt;&lt;p dir=\"ltr\"&gt;Key limitations—slow-ramp spoofing sensitivity and dropout detection via NIS alone—are identified with reference to the literature, and AIME sliding-window monitoring and Monte Carlo PLOS quantification are proposed as the primary future work.&lt;/p&gt;&lt;p dir=\"ltr\"&gt;Keywords: Urban Air Mobility, GNSS integrity monitoring, Kalman filter, Normalised Innovation Squared, spoofing detection, graceful degradation, communication resilience.&lt;/p&gt;","url":"https://doi.org/10.32920/32254782","authors":["Babak Nassir Tafreshi"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-05-19T13:19:11Z","addedAt":"2026-08-06T22:48:46.008Z","doi":"10.32920/32254782","updatedAt":"2026-08-31T06:39:56.012Z"},{"id":"doi:10.1016/j.urbmob.2026.100265","name":"Urban air mobility vertiports: A bibliometric analysis and scoping review of physical site selection, design, and integration with ground transport","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.urbmob.2026.100265","authors":["Chuancheng Li","Yin Zhang","Qunfeng Ji"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-08-04T12:00:41Z","addedAt":"2026-08-06T22:48:46.008Z","doi":"10.1016/j.urbmob.2026.100265","updatedAt":"2026-08-31T06:39:56.012Z"},{"id":"doi:10.71429/kmcr.2026.26.01.11","name":"Analysis of Customer Choice Factors for Urban Air Mobility","source":"crossref","abstract":"","url":"https://doi.org/10.71429/kmcr.2026.26.01.11","authors":["Soo Hwan Kwak"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-03-23T08:50:35Z","addedAt":"2026-08-06T22:48:46.008Z","doi":"10.71429/kmcr.2026.26.01.11","updatedAt":"2026-08-31T06:39:56.012Z"},{"id":"doi:10.2139/ssrn.6065111","name":"Urban Air Mobility - Unmanned Aerial Systems Noise Analysis","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.6065111","authors":["Antoni Kopyt","Lukasz Ogrodnik"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-01-12T18:38:32Z","addedAt":"2026-08-06T22:48:46.008Z","doi":"10.2139/ssrn.6065111","updatedAt":"2026-08-31T06:39:56.012Z"},{"id":"doi:10.26226/m.63283143f30377bc3baf7c8c","name":"Exploratory Analysis on Urban Air Mobility and Pilot Shortage","source":"crossref","abstract":"","url":"https://doi.org/10.26226/m.63283143f30377bc3baf7c8c","authors":["Julio Roa","Derek Maxwell"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-09-29T15:21:23Z","addedAt":"2026-08-06T22:48:46.008Z","doi":"10.26226/m.63283143f30377bc3baf7c8c","updatedAt":"2026-08-31T06:39:56.012Z"},{"id":"doi:10.58915/bk2026.039","name":"THE INVISIBLE HIGHWAY","source":"crossref","abstract":"The sky above our cities and landscapes is no longer just space. It is becoming the next frontier of mobility, logistics and economic growth. The Invisible Highway: Reshaping Transportation with Urban Air Mobility presents a vision for transforming low-altitude airspace into a structured, safe and productive domain that functions as an invisible highway. Moving beyond speculative concepts, this book integrates engineering innovation, airspace governance and national strategy to demonstrate how Urban Air Mobility can be realized in real-world applications. At the heart of this work is a practical and evidence-based approach to UAM development, grounded in the author’s pioneering research on Variable Arm Length (VAL) quadrotor technology and the establishment of a functional Airspace Sandbox. These initiatives illustrate how emerging aerial technologies can be tested, regulated and scaled responsibly while maintaining safety, sovereignty and public trust. This book argues that Urban Air Mobility is not solely about flying vehicles but about building an integrated ecosystem encompassing technology, regulation, infrastructure, talent development and societal acceptance. Through clearly defined implementation phases and real-world case studies, it provides a roadmap for nations seeking to unlock the economic and strategic value of low-altitude airspace. Written for policymakers, regulators, industry leaders, researchers and advanced students, The Invisible Highway serves as both a call to action and a practical guide for shaping the future of transportation. It challenges readers to rethink the sky not as a limit but as an opportunity to be designed, governed and navigated with vision and responsibility.","url":"https://doi.org/10.58915/bk2026.039","authors":["Hazry Desa"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-05-19T02:39:09Z","addedAt":"2026-08-06T22:48:46.008Z","doi":"10.58915/bk2026.039","updatedAt":"2026-08-31T06:39:56.012Z"},{"id":"doi:10.70675/5bf0ce9ez038ez463dzb034z5c43b795cbef","name":"A data-driven framework for the deployment of urban air mobility","source":"crossref","abstract":"Développement d’un cadre de référence guidé par l’utilisation des données pour le déploiement de la mobilité urbaine aérienne De nos jours, la mobilité dans les villes est de plus en plus difficile, notamment en raison de la croissance démographique et du besoin croissant de services à la demande. En réponse, les mégalopoles étudient la possibilité d'introduire la mobilité aérienne pour réduire la congestion du trafic, apporter des réponses rapides aux situations de crise, etc. Cependant, même si les technologies clés sont matures (grâce aux progrès scientifiques dans les domaines de l'efficacité énergétique, des drones, des technologies de l'information et de la communication, etc.), certains problèmes critiques sont toujours sans solution, exerçant ainsi une pression supplémentaire sur les pouvoirs publics pour le renouvellement des solutions de mobilité existantes : - Lorsqu'il s'agit de mettre en oeuvre la mobilité aérienne urbaine, quels sont les freins les plus significatifs et les enseignements précieux à retenir (autrement dit, comment intégrer les modes de transport aérien et terrestre ; les infrastructures actuelles sont-elles prêtes à accueillir le mode aérien, etc.) ? - La viabilité du marché peut-elle soutenir les lourds investissements nécessaires au déploiement ? - Quels sont les composants critiques du système des systèmes de mobilité résultant ? Pour répondre à ces questions et faciliter la mise en oeuvre de la mobilité urbaine aérienne (MUA), dans cette thèse, nous avons d'abord mené une analyse bibliométrique afin d'identifier les principaux domaines de recherche et les obstacles associés liés à sa mise en oeuvre. En raison du manque de données sur ce nouveau sujet de recherche, nous avons ensuite proposé une méthode d'apprentissage profond pour prédire la demande du marché de la MUA à partir d'un ensemble de données de référence basé sur les taxis terrestres. La solution proposée est une hybridation de la méthode d'apprentissage par transfert avec une architecture de type transformeur. Afin d'évaluer la faisabilité du déploiement, nous avons également proposé un cadre de référence guidé par l’utilisation de données qui permet d'expliquer les composants critiques à l'aide d'une méthodologie d'ingénierie système. Celui-ci peut aider les décideurs à développer des applications d’aide à la décision, telles que celles fournissant des prévisions, la maintenance des infrastructures, le renouvellement des services, etc. Enfin, nous avons étudié les problèmes d'interopérabilité des principaux composants du cadre de référence proposé pour faciliter la communication entre les solutions existantes (qui sont principalement centrés sur l'utilisateur, comme les planificateurs d’itinéraires) et les composants conçus spécifiquement pour le fonctionnement de la MUA. Les travaux futurs visent à combiner une méthode de l’approche basée sur la modélisation des événements discrets avec l'intelligence artificielle pour simuler chaque composant du cadre proposé et modéliser différents scénarios de la vie réelle.","url":"https://doi.org/10.70675/5bf0ce9ez038ez463dzb034z5c43b795cbef","authors":["Faheem Ahmed"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-04-06T23:24:58Z","addedAt":"2026-08-06T22:48:46.008Z","doi":"10.70675/5bf0ce9ez038ez463dzb034z5c43b795cbef","updatedAt":"2026-08-31T06:39:56.012Z"},{"id":"doi:10.31224/3275","name":"Enhancing Urban Air Mobility Integration in Cargo Transportation through Tiltrotor Technology","source":"crossref","abstract":"","url":"https://doi.org/10.31224/3275","authors":["Saheed Adebimpe"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-10-09T14:54:35Z","addedAt":"2026-08-06T22:48:46.008Z","doi":"10.31224/3275","updatedAt":"2026-08-31T06:39:56.012Z"},{"id":"doi:10.32657/10356/174062","name":"Conflict-free urban air mobility planning with an airspace-resource-centric approach","source":"openalex","abstract":"Urban Air Mobility (UAM) has come to the sight of people as a new mobility type that has the potential to be a game changer in large cities' traffic systems. The conventional air transport system has been operating for over a hundred years with great performances in both efficiency and safety, which raises high requirements for the future operations of UAM. To enable the UAM to assess the urban airspace without impeding the operation of existing air traffic, research and developments are needed incorporating the specific features of UAM. Among the major services provided by the future UAM management system, strategic trajectory planning is of great importance as it contributes to both improving operational efficiency and flight safety. Existing trajectory planning methods for conventional aviation can hardly be applied to the context of UAM, and the studies in the literature on trajectory planning methods specifically addressing the challenges in UAM are limited. An advanced trajectory planning method for UAM is needed to incorporate the features and requirements of UAM traffic demands and eVTOL aircraft performances. Motivated by the need for a UAM trajectory planning method, this research unfolds in several stages. Firstly, we introduce the airspace-resource-centric (ARC) concept for urban airspace management. Whether assuming full implementation of the free-flight concept or adopting the air-route-based architecture will not satisfy the requirement of UAM. The ARC concept enables route-free flight planning with better flight predictability than the free-flight concept. It discretizes the spatial volume of urban airspace, and thus also discretizes the urban airspace resources. Dynamic assignment of airspace cells enables 4D management of urban airspace, including spatial volume, navigational services, etc., facilitating quantitative airspace utilization. The concept also leads to a graph-based airspace model for further usage. The second and third stages of this thesis aim to answer the questions supplementing the ARC concept. In the second stage, we analyze the traffic flow distribution based on the structure-free ARC concept. To achieve this goal, a 4D path planning method with strategic conflict avoidance is developed, namely the conflict-free A* algorithm. Numerical study results show that the algorithm can generate multiple flight paths without duplicated airspace cell utilization. The result also shows that the structure-free concept leads to an imbalanced vertical utilization of urban airspace. From the perspective of traffic management, a more balanced traffic flow is preferable. Thus a layered utilization of the airspace is recommended and will be used in the consequent stages. In the third stage, we analyze how the airspace cell shape affects flight safety. We studied the relationships between crossing traffic patterns, centralized tracking system performance, and conflict detection effectiveness provided by the tracking system. To achieve this probabilistic assessment, we propose a Monte Carlo simulation-based framework, which enables the evaluation of the likelihood of successful conflict detection and detection delay in a quantitative manner. The result suggests that orthogonal crossings are more likely to be detected, which supports the selection of block shape as the airspace cells. In the fourth stage, we develop a data-driven power consumption model for eVTOL aircraft. Precise estimation of aircraft power consumption with given kinematic states and environmental states is essential in the management of battery energy and prevents battery draining which will cause serious accidents. Motivated by the absence of a precise power consumption model that can be applied to multiple eVTOL aircraft types, we use the ensemble learning method to model the power consumption of eVTOL aircraft. The model that we develop outperforms the existing models in the literature. The model will be used in the evaluation of trajector","url":"https://doi.org/10.32657/10356/174062","authors":["Wei Dai"],"tags":["Resource (disambiguation)","Free flight","Aeronautics","Environmental planning","Air traffic control"],"confidence":0.72,"sites":["low-altitude"],"publishedDate":"2024-01-01","addedAt":"2026-08-06T22:48:46.008Z","doi":"10.32657/10356/174062","updatedAt":"2026-08-31T14:45:35.251Z"},{"id":"doi:10.36227/techrxiv.175086170.04103935/v1","name":"Certifiable Transformer-Based Sensor Fusion Architecture for Urban Air Mobility","source":"crossref","abstract":"Urban Air Mobility (UAM) vehicles rely on robust multi-sensor perception for safe navigation in complex environments. This paper presents a novel sensor fusion architecture using a Transformer-based model (more advanced than BART) for integrating LiDAR, Electro-Optical/Infrared (EO/IR) cameras, GNSS, ADS-B, IMU, and radar data. We detail a hardware-software co-design for real-time embedded deployment, emphasizing compliance with DO-178C(software) and DO-254 (hardware) certifiability. A mathematical formulation of the fusion algorithm is provided, leveraging cross-attention to achieve multimodal state estimation. We simulate an urban canyon scenario with multiple UAM vehicles (using ROS2/Gazebo and MATLAB/Simulink) to evaluate performance. Results demonstrate high accuracy, low latency, and stable confidence intervals, even under sensor degradation or GNSS loss. Comparative analysis shows our Transformer-based fusion outperforms legacy Extended Kalman Filter and earlier deep models (including a BART-based approach) in both accuracy and robustness. We also discuss how the design handles adversarial sensor inputs and degrades gracefully. The proposed architecture, supported by certifiable development practices and a safety monitor subsystem, offers a viable path toward certified AI in UAM.","url":"https://doi.org/10.36227/techrxiv.175086170.04103935/v1","authors":["Yash K Shah"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-06-25T10:28:26Z","addedAt":"2026-08-06T22:48:46.008Z","doi":"10.36227/techrxiv.175086170.04103935/v1","updatedAt":"2026-08-31T06:39:56.012Z"},{"id":"doi:10.1016/j.urbmob.2025.100181","name":"A support to vertiport micro-location selection at airport for urban air mobility airport shuttle service","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.urbmob.2025.100181","authors":["Bojana Mirković","Nikola Ivanov","Dušan Crnogorac","Matija Sindik"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-01-08T06:31:11Z","addedAt":"2026-08-06T22:48:46.008Z","doi":"10.1016/j.urbmob.2025.100181","updatedAt":"2026-08-31T06:39:56.012Z"},{"id":"doi:10.2139/ssrn.6569619","name":"Harnessing Machine Learning for Urban Air Mobility: Insights from Air Taxi Communication, Demand Prediction, and Navigation Applications","source":"crossref","abstract":"Urban Air Mobility (UAM) is emerging as a groundbreaking solution to the growing challenges of urban transportation. It leverages machine learning (ML) technologies to improve efficiency, safety, and sustainability. This literature review paper explores the latest advancements in ML applications within the UAM domain, focusing on three key application areas: demand prediction for air taxi services, autonomous navigation in complex urban environments, and communication systems for UAM vehicles. In the context of air taxi services, a major use case of UAM applications, the ML algorithms are essential for predicting passenger demand, which helps optimize resource allocation and operational strategies. Accurate demand forecasting ensures that UAM services can effectively meet fluctuating urban transportation needs. For autonomous navigation, ML-specifically, deep reinforcement learning-enables UAM vehicles to navigate urban landscapes efficiently by optimizing flight trajectories. This minimizes energy consumption and reduces noise pollution, enhancing the overall sustainability of UAM operations. Moreover, ML is critical in improving UAM communication systems by addressing challenges related to reliable data transmission and real-time decision-making. These communication advancements are crucial for coordinating UAM movements and ensuring safe and efficient operations in densely populated areas. By synthesizing insights from various journal articles and technical reports, this review highlights the transformative potential of ML in advancing UAM technologies. The integration of ML in these areas holds promise for creating more adaptive, sustainable, and efficient air mobility solutions, fundamentally reshaping the future of urban transportation and offering new possibilities for addressing congestion and environmental concerns.","url":"https://doi.org/10.2139/ssrn.6569619","authors":["Ajuna John"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-07-29T13:20:20Z","addedAt":"2026-08-06T22:48:46.008Z","doi":"10.2139/ssrn.6569619","updatedAt":"2026-08-31T06:39:56.012Z"},{"id":"doi:10.31219/osf.io/m5sd9","name":"Aerial e-mobility perspective: Anticipated designs and operational capabilities of eVTOL urban air mobility (UAM) aircraft","source":"crossref","abstract":"We collected data about 13 urban air mobility (UAM) electric vertical take-off and landing (eVTOL) aircraft from 12 UAM companies in the world. While none of these models has yet reached a large-scale commercial operation (particularly as air taxis), some of them progressed well in the certification process and may have their UAM models widely operated within a few years. This article focuses on the variability in the configurations of these UAM eVTOL aircraft for aerial e-mobility; such as single-fixed-wing, tandem-tilt-wing, canard wing, fixed-rotor fixed-wing, full tilt-rotor, partial tilt-rotor, V-shaped tail, tailless, twin tail, conventional tail assembly, distributed propulsion, multicopter, rear forward thrust propeller, ducted fans, and a hybrid airplane-helicopter design. The 13 UAM eVTOL aircraft covered here are: (1) EH216-S (by EHang), (2) VoloCity (by Volocopter), (3) Lilium Jet (by Lilium), (4) VoloRegion (by Volocopter), (5) CityAirbus NextGen (by Airbus), (6) Passenger Air Vehicle - PAV (by Boeing), (7) S-A2 (by Hyundai), (8) Joby (by Joby Aviation), (9) VX4 (by Vertical Aerospace Group), (10) Midnight (by Archer Aviation), (11) Eve (by Eve Air Mobility), (12) Jaunt (by Jaunt Air Mobility), and (13) Generation 6 (by Wisk Aero). Out of these 13 UAM eVTOL aircraft models for aerial e-mobility and/or air taxis, we found that 11 models utilize a wing configuration, while only two use a wingless multirotor concept (as in hobbyist drones). A fixed-wing design is associated with a faster travel speed, at the expense of added restrictions on maneuvering and low-speed travel (or hovering). Six models are intended to have an onboard human pilot, while the remaining seven models are designed to be pilotless. One model demonstrated the ability to use hydrogen as a clean source of energy through a fuel cell system.","url":"https://doi.org/10.31219/osf.io/m5sd9","authors":["Osama Ahmed Marzouk"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-01-13T20:34:36Z","addedAt":"2026-08-06T22:48:46.008Z","doi":"10.31219/osf.io/m5sd9","updatedAt":"2026-08-31T06:39:56.012Z"},{"id":"doi:10.1201/9781003339953-7","name":"Urban Aerial Mobility Concepts, Modeling, and Challenges: A Review","source":"crossref","abstract":"","url":"https://doi.org/10.1201/9781003339953-7","authors":["Premkumar Duraisamy","Yuvaraj Natarajan","K. R. Sri Preethaa"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-01-20T15:58:27Z","addedAt":"2026-08-06T22:48:46.008Z","doi":"10.1201/9781003339953-7","updatedAt":"2026-08-31T06:39:56.012Z"},{"id":"doi:10.1016/j.urbmob.2021.100002","name":"Flying taxis revived: Can Urban air mobility reduce road congestion?","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.urbmob.2021.100002","authors":["A. Pukhova","C. Llorca","A. Moreno","C. Staves","Q. Zhang","R. Moeckel"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2021-07-05T13:08:23Z","addedAt":"2026-08-06T22:48:46.008Z","doi":"10.1016/j.urbmob.2021.100002","updatedAt":"2026-08-31T06:39:56.012Z"},{"id":"doi:10.1007/s40864-026-00282-y","name":"Assessing Advanced Air Mobility as Infrastructure in Saxony","source":"crossref","abstract":"Abstract This study assesses advanced air mobility (AAM) as an infrastructure option in Saxony, focusing on institutional divergences across spatial scales. AAM, consisting of autonomous, electrically powered aircraft such as eVTOLs, is examined through an infrastructural inversion that treats it as infrastructure rather than as emerging technology. This shift highlights not only physical components such as vertiports, energy supply, and communication systems, but also the need for assessment approaches beyond purely technological evaluations. AAM infrastructure may be provided under public, private, or hybrid arrangements. To capture this complexity, this study applies the author-developed infrastructure asset management taxonomy (IAMT), reflecting the professional practice of infrastructure asset managers trained to integrate multiple appraisal methods. Using IAMT, the analysis evaluates the potential economic, ecological, and social impacts of AAM. The results suggest that integration of AAM into Saxony’s public transport networks faces significant constraints under current institutional and policy conditions, since existing e-mobility strategies already cover the roles AAM might fulfil. By emphasising institutional divergences, the study contributes to understanding equity and distributional effects in infrastructure development and concludes that successful adoption requires context-specific planning sensitive to multi-scalar governance.","url":"https://doi.org/10.1007/s40864-026-00282-y","authors":["Franziska Hasselmann"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-07-28T08:17:46Z","addedAt":"2026-08-06T22:48:46.008Z","doi":"10.1007/s40864-026-00282-y","updatedAt":"2026-08-31T06:39:56.013Z"},{"id":"doi:10.1007/978-3-662-60806-7_8","name":"Air Taxis as a Mobility Solution for Cities—Empirical Research on Customer Acceptance of Urban Air Mobility","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-662-60806-7_8","authors":["Jana Behme","Patrick Planing"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2020-06-16T23:04:15Z","addedAt":"2026-08-06T22:48:46.008Z","doi":"10.1007/978-3-662-60806-7_8","updatedAt":"2026-08-31T06:39:56.013Z"},{"id":"doi:10.22215/etd/2022-14907","name":"Modelling, Flight Dynamics and Inner-Loop Control of an Urban Air Mobility Vehicle Subject to Empirically-Developed Urban Airflow Disturbances","source":"crossref","abstract":"","url":"https://doi.org/10.22215/etd/2022-14907","authors":["Richard McKercher"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2022-04-05T19:14:57Z","addedAt":"2026-08-06T22:48:46.008Z","doi":"10.22215/etd/2022-14907","updatedAt":"2026-08-31T06:39:56.012Z"},{"id":"doi:10.2139/ssrn.6944780","name":"Susceptibility of urban air mobility vehicles to spatiotemporal non-uniform urban wind fields","source":"crossref","abstract":"Urban Air Mobility (UAM) vehicles operate in complex low altitude environments characterized by strong spatial and temporal wind variations, making the uniform immersion model of conventional flight dynamics no longer adequate. This study presents a numerical investigation focused on how spatially varying urban wind fields influence the aerodynamic susceptibility of both rotary and fixed-wing UAM configurations. The specific goal is to assess the adequacy of simplified gradient-based wind representations relative to full spatial wind field data. For this purpose, high-fidelity flow fields obtained from Large Eddy Simulation (LES) are used as inputs to a Non-linear Vortex Lattice Method (NL-VLM) framework to compute the induced static aerodynamic loads and moments. These loads are evaluated for two NASA UAM concepts, a quadrotor in hover and the fixed-wing of a tilt-wing aircraft in cruise. Two gradient approximation approaches are proposed and compared against distributed NL-VLM loads computed from the actual wind field. The first adopts a Jacobian matrix evaluated at the vehicle center of gravity, and the second a finite-difference approximation evaluated at the tips of the lifting surfaces. The results show that Jacobian-based estimates capture first-order spatial effects but are often insufficient to characterize the full impact of urban wind structures, while tip-based finite-difference estimates improve agreement for fixed-wing configurations. The observed correlations suggest that the disturbance moment can be related to the wind velocity gradient through a generalized susceptibility formulation, where the R² values serve as a measure of how well such a linear mapping can capture the distributed aerodynamic response. These findings motivate advancing conventional flight dynamics and handling qualities analysis toward more accurate spatiotemporal turbulence models supporting the design and evaluation of flight control architectures with better disturbance rejection for safe UAM operations in urban environments.","url":"https://doi.org/10.2139/ssrn.6944780","authors":["Mewael  A. Abraham","Alessandro gardi","Vladimir Parezanovic"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-06-15T14:37:03Z","addedAt":"2026-08-06T22:48:46.008Z","doi":"10.2139/ssrn.6944780","updatedAt":"2026-08-31T06:39:56.012Z"},{"id":"doi:10.2139/ssrn.6151491","name":"When air meets ground: Modeling the congestion externalities of urban air mobility in integrated air-ground transportation networks","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.6151491","authors":["Zhenwei Gong","Zhuoye Zhang","Fangni Zhang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-01-30T02:44:16Z","addedAt":"2026-08-06T22:48:46.008Z","doi":"10.2139/ssrn.6151491","updatedAt":"2026-08-31T06:39:56.012Z"},{"id":"doi:10.1007/978-3-031-59754-1_1","name":"Urban Air Mobility: Definitions, Regulations and Technologies","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-031-59754-1_1","authors":["Gennaro Ariante","Umberto Papa"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-06-15T13:01:48Z","addedAt":"2026-08-06T22:48:46.008Z","doi":"10.1007/978-3-031-59754-1_1","updatedAt":"2026-08-31T06:39:56.013Z"},{"id":"doi:10.22541/au.175924700.05683296/v1","name":"Exploring the promises and challenges of Urban Air Mobility (UAM)","source":"crossref","abstract":"","url":"https://doi.org/10.22541/au.175924700.05683296/v1","authors":["Yusuf Karimli","Aniello Daniele Marano"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-09-30T15:43:32Z","addedAt":"2026-08-06T22:48:46.008Z","doi":"10.22541/au.175924700.05683296/v1","updatedAt":"2026-08-31T06:39:56.013Z"},{"id":"doi:10.4271/epr2021011","name":"Unsettled Topics Concerning Flying Cars for Urban Air Mobility","source":"crossref","abstract":"&lt;div class=\"section abstract\"&gt;&lt;div class=\"htmlview paragraph\"&gt;Flying cars—as a new type of vehicle for urban air mobility (UAM)—have become an important development trend for the transborder integration of automotive and aeronautical technologies and industries. This article introduces the 100-year history of flying cars, examines the current research status for UAM air buses and air taxis, and discusses the future development trend of intelligent transportation and air-to-land amphibious vehicles.&lt;/div&gt;&lt;div class=\"htmlview paragraph\"&gt;Unsettled Topics Concerning Flying Cars for Urban Air Mobility identifies the major bottlenecks and impediments confronting the development of flying cars, such as high power density electric propulsion, high lift-to-drag ratio and lightweight body structures, and low-altitude intelligent flight. Furthermore, it proposes three phased goals and visions for the development of flying cars in China, suggesting the development of a flying vehicle technology innovation system that integrates automotive and aeronautic industries.&lt;/div&gt;&lt;div class=\"htmlview paragraph\"&gt;&lt;a href=\"https://www.sae.org/publications/edge-research-reports\" target=\"_blank\"&gt;Click here to access the full SAE EDGE&lt;/a&gt;&lt;sup&gt;TM&lt;/sup&gt;&lt;a href=\"https://www.sae.org/publications/edge-research-reports\" target=\"_blank\"&gt; Research Report portfolio.&lt;/a&gt;&lt;/div&gt;&lt;/div&gt;","url":"https://doi.org/10.4271/epr2021011","authors":["Yangjun Zhang","Yuping Qian","Weilin Zhuge"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2021-06-11T14:08:32Z","addedAt":"2026-08-06T22:48:46.008Z","doi":"10.4271/epr2021011","updatedAt":"2026-08-31T06:39:56.013Z"},{"id":"doi:10.2514/6.2024-2010","name":"Ground-Based Vision Tracker for Advanced Air Mobility and Urban Air Mobility","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2024-2010","authors":["Evan Kawamura","Keerthana Kannan","Thomas Lombaerts","Vahram Stepanyan","Chester Dolph","Corey A. Ippolito"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-01-29T22:05:19Z","addedAt":"2026-08-06T22:48:46.008Z","doi":"10.2514/6.2024-2010","updatedAt":"2026-08-31T06:39:56.013Z"},{"id":"doi:10.1201/9781003339953-5","name":"Deep Learning Models for Urban Aerial Mobility: A Review","source":"crossref","abstract":"","url":"https://doi.org/10.1201/9781003339953-5","authors":["K. Kathiresan","N. Yuvaraj","Preethaa K. R. Sri","Sangwoo Jeon"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-01-20T15:58:27Z","addedAt":"2026-08-06T22:48:46.008Z","doi":"10.1201/9781003339953-5","updatedAt":"2026-08-31T06:39:56.012Z"},{"id":"doi:10.55248/gengpi.6.0525.1999","name":"Navigating the Reality and Future of of Urban Air Mobility Transportation","source":"crossref","abstract":"","url":"https://doi.org/10.55248/gengpi.6.0525.1999","authors":["Sithandile F Mpala","Pritha Chakraborty"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-06-03T07:09:52Z","addedAt":"2026-08-06T22:48:46.008Z","doi":"10.55248/gengpi.6.0525.1999","updatedAt":"2026-08-31T06:39:56.013Z"},{"id":"doi:10.4337/9781803923659.00156","name":"Urban Air Mobility","source":"crossref","abstract":"","url":"https://doi.org/10.4337/9781803923659.00156","authors":["Monica Brignardello"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-12-12T13:00:27Z","addedAt":"2026-08-06T22:48:46.008Z","doi":"10.4337/9781803923659.00156","updatedAt":"2026-08-31T06:39:56.013Z"},{"id":"doi:10.1016/j.rineng.2025.103968","name":"Optimal vertiport design for urban air mobility: A performance-based approach for urban air mobility in the UAE","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.rineng.2025.103968","authors":["Aref Maksoud","Aseel Hussien","Yasameen Safaa Adnan","Hend Hussein Hassan Alhousani","Sarah Isam Abdul-Rahman Alawneh"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-01-05T08:21:36Z","addedAt":"2026-08-06T22:48:46.008Z","doi":"10.1016/j.rineng.2025.103968","updatedAt":"2026-08-31T06:39:56.013Z"},{"id":"doi:10.64631/wdxz9618","name":"Urban Air Mobility Noise: Current Practice, Gaps, and Recommendations","source":"crossref","abstract":"In 2018, NASA formed an Urban Air Mobility Noise Working Group to assemble noise experts from industry, universities and government agencies to identify, discuss, and address urban air mobility (UAM) noise issues. This paper presents a set of high-level goals intended to address barriers associated with UAM noise that may hamper their entry into service. It summarizes the current practice, identifies gaps in the current practice, and makes recommendations to address the gaps to achieve the high-level goals in four areas of interest: Tools and Technologies, Ground and Flight Testing, Human Response and Metrics, and Regulation and Policy.","url":"https://doi.org/10.64631/wdxz9618","authors":["Stephen A Rizzi"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-07-17T15:07:41Z","addedAt":"2026-08-06T22:48:46.008Z","doi":"10.64631/wdxz9618","updatedAt":"2026-08-31T06:39:56.013Z"},{"id":"doi:10.2514/6.2020-3262","name":"Urban Air Mobility Command and Control","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2020-3262","authors":["Israel Greenfeld"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2020-06-08T17:02:08Z","addedAt":"2026-08-06T22:48:46.008Z","doi":"10.2514/6.2020-3262","updatedAt":"2026-08-31T06:39:56.013Z"},{"id":"doi:10.29327/9786527220244.1217561","name":"AIR TRANSPORT NETWORK OPTIMIZATION APPLIED TO URBAN AIR MOBILITY OPERATIONS WITH AN EVTOL","source":"crossref","abstract":"","url":"https://doi.org/10.29327/9786527220244.1217561","authors":["José Alexandre Fregnani","Glaucia Balvedi"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-02-10T19:00:13Z","addedAt":"2026-08-06T22:48:46.008Z","doi":"10.29327/9786527220244.1217561","updatedAt":"2026-08-31T06:39:56.013Z"},{"id":"doi:10.1109/dasc50938.2020.9256510","name":"Survey of Certifiable Air Data Systems for Urban Air Mobility","source":"crossref","abstract":"","url":"https://doi.org/10.1109/dasc50938.2020.9256510","authors":["Angelo Lerro"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2020-11-18T17:04:08Z","addedAt":"2026-08-06T22:48:46.008Z","doi":"10.1109/dasc50938.2020.9256510","updatedAt":"2026-08-31T06:39:56.013Z"},{"id":"doi:10.21741/9781644902813-94","name":"Insights on state of the art and perspectives of XR for human machine interfaces in advanced air mobility and urban air mobility","source":"crossref","abstract":"Abstract. With technological innovation and advancements, especially in autonomy, battery and digitization, the future of air transport and mobility is transiting towards a broader spectrum of Advanced Air Mobility (AAM) and Urban Air Mobility (UAM). UAM envisions safer, faster, and more sustainable air mobility for smarter cities and urban environments including passenger transport and goods delivery. Nevertheless, this concept is still considered extremely breakthrough and several technological and operational aspects are mostly undefined. In this context, a comprehensive approach to AAM/UAM may be to adapt cutting-edge technologies in developing sustainable framework and Human-Machine Interfaces (HMIs) in order to realize the challenges, benefits, and conditions of such transport system in advance for future safer, more reliable and globally approved operations. One of the technologies that can contribute to accelerate advancements through human centred simulating UAM processes and operations is XR (eXtended Reality). This paper presents the early steps of a multidisciplinary study performed under the framework of PNRR (Piano Nazionale di Ripresa e Resilienza) and MOST (Centro Nazionale Mobilità Sostenibile) project in analyzing the perspectives of XR based HMIs for UAM paradigm and potential AAM/UAM use case scenarios that can be simulated with XR in view of attaining efficient and effective future solutions. Furthermore, the work introduces the state-of-the-art overview on XR facilitated UAM applications and considers prospective potential use cases that can be developed through PNRR research study in demonstrating XR as an enabling technology in promising areas of the UAM framework.","url":"https://doi.org/10.21741/9781644902813-94","authors":["S. Santhosh"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-10-26T09:33:48Z","addedAt":"2026-08-06T22:48:46.008Z","doi":"10.21741/9781644902813-94","updatedAt":"2026-08-31T06:39:56.013Z"},{"id":"doi:10.2139/ssrn.6194978","name":"Information transparency and pricing competition in urban air mobility platforms","source":"crossref","abstract":"Urban Air Mobility (UAM) offering a promising alternative to congested ground transport. UAM platforms require information sharing among service providers for operational coordination, yet the competitive implications of such transparency on pricing and welfare remain unclear. This paper develops a game-theoretic model to analyze pricing competition between UAM service providers under alternative information structures. Using a Hotelling framework with heterogeneous consumers, we derive Nash equilibrium outcomes for three scenarios: uniform pricing, exclusive pricing and personalized discounting under full information transparency. We characterize the equilibrium prices, profits, and welfare for each scenario and establish analytical conditions under which market segmentation dominates uniform pricing. Our analysis reveals that while segmentation capability increases firm profits, full information sharing among competitors intensifies price competition and improves consumer welfare without substantially reducing firm profitability. We conduct numerical experiments to using Beijing commuting data. The results show that exclusive pricing increases firm profits by 5.12% relative to Bertrand competition but reduces total welfare by 13.2%, whereas moving from constrained to full information transparency increases consumer surplus by 42.4% while reducing firm profits by only 0.11\\%. These findings provide theoretical guidance for pricing strategies and information-sharing mechanism design in emerging UAM markets.","url":"https://doi.org/10.2139/ssrn.6194978","authors":["Ye Yuan","Di Feng","Yu Jiang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-02-08T02:42:09Z","addedAt":"2026-08-06T22:48:46.008Z","doi":"10.2139/ssrn.6194978","updatedAt":"2026-08-31T06:39:56.013Z"},{"id":"doi:10.58922/transportes.v32i1.2896","name":"Analysis and Prediction of Airspace Availability for Urban Air Mobility Operations in the Sao Paulo Metropolitan Region","source":"crossref","abstract":"Urban Air Mobility (UAM) is an emerging form of transportation that is expected to introduce novel flight networks into already busy and complex airspace surrounding major cities and metropolitan regions. This paper studies the dynamics of urban airspace use by conventional aircraft over the Sao Paulo metropolitan region in order to identify and predict which airspace volumes are least constrained and best accessible for future UAM flights. Using historical flight tracking data, clustering analysis is first performed to identify departure and arrival trajectory patterns flown by conventional traffic at the two major airports – Sao Paulo/Guarulhos International airport and Sao Paulo/Congonhas airport. We then create a probabilistic model of the spatiotemporal distribution of air traffic under known meteorological conditions, which enables the prediction of active procedures, their spatial confidence regions and the resulting airspace availability for UAM in response to dynamic operational factors. The data-based approach allowed for a high-fidelity characterization of the Sao Paulo urban airspace use patterns as well as for accurate predictions of the available airspace for UAM, bringing novel insights and capabilities in support of dynamic and efficient urban airspace management.","url":"https://doi.org/10.58922/transportes.v32i1.2896","authors":["João Vitor Turchetti","Mayara Condé Rocha Murça"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-04-16T10:05:19Z","addedAt":"2026-08-06T22:48:46.008Z","doi":"10.58922/transportes.v32i1.2896","updatedAt":"2026-08-31T06:39:56.013Z"},{"id":"doi:10.2514/6.2024-85629","name":"Urban Air Mobility (UAM); Implementation &amp; Feasibility","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2024-85629","authors":["Michael Hakim"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-08-06T13:13:41Z","addedAt":"2026-08-06T22:48:46.008Z","doi":"10.2514/6.2024-85629","updatedAt":"2026-08-31T06:39:56.013Z"},{"id":"doi:10.1201/9781003339953-1","name":"Toward Future Transportation: History, Adoption, Research, and Development, Challenges in Urban Aerial Mobility","source":"crossref","abstract":"","url":"https://doi.org/10.1201/9781003339953-1","authors":["R. Sivaramakrishnan","Dhivya Rathinasamy","Agus Budiyono","Min Dugki"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-01-20T15:58:27Z","addedAt":"2026-08-06T22:48:46.008Z","doi":"10.1201/9781003339953-1","updatedAt":"2026-08-31T06:39:56.013Z"},{"id":"doi:10.3390/su14159312","name":"Social Sustainable Urban Air Mobility in Europe","source":"crossref","abstract":"The first step to steer passenger Urban Air Mobility (pUAM) towards the necessity of sustainability is to understand its impact on our urban transportation systems. This research emphasises the social footprint of passenger drones in scheduled operation as an early business model in European Functional Urban Areas. The literature review is guided by the corresponding Sustainable Urban Mobility Indicators (SUMI). The prospective impact which the introduction of pUAM has on the evaluation of European transportation systems regarding their affordability for the public, their inclusivity for mobility-impaired groups, their accessibility to commuters and the level of customer satisfaction is analysed. Furthermore, the impact of pUAM on the perceived quality of public urban space is examined. Results indicate the overall social footprint of passenger drones in European transport systems to be negative. Early market pUAM may lead to an unbalanced distribution of potential benefits, with services tailored to address only a limited number of citizens. Highlighting pathways for a societal benefiting technology, recommendations are provided for urban planning and city development.","url":"https://doi.org/10.3390/su14159312","authors":["Tobias Biehle"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2022-08-01T23:49:27Z","addedAt":"2026-08-06T22:48:46.008Z","doi":"10.3390/su14159312","updatedAt":"2026-08-31T06:39:56.013Z"},{"id":"doi:10.52783/lhep.2025.1324","name":"Study on Urban Air Mobility: Overview of Ecosystem, Market Potential, and Challenges","source":"crossref","abstract":"","url":"https://doi.org/10.52783/lhep.2025.1324","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-02-28T07:32:02Z","addedAt":"2026-08-06T22:48:46.008Z","doi":"10.52783/lhep.2025.1324","updatedAt":"2026-08-31T06:39:56.013Z"},{"id":"doi:10.1016/j.tranpol.2026.104345","name":"Urban Geometry as Constraint: Optimizing Vertiport Placement for Urban Air Mobility","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.tranpol.2026.104345","authors":["Ning Lyu","Tao Feng"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-08-06T15:23:06Z","addedAt":"2026-08-06T22:48:46.008Z","doi":"10.1016/j.tranpol.2026.104345","updatedAt":"2026-08-31T06:39:56.013Z"},{"id":"doi:10.3390/urbansci9020024","name":"RETRACTED: Prediction of Urban Air Mobility and Drone Accident Rates and the Role of Urban Management Systems","source":"crossref","abstract":"Urban air mobility (UAM) and drones can significantly improve traffic movement in saturated cities because the skies above them are not frequently used; furthermore, they do not require large-scale infrastructure, like roads and subways do. Thus, UAM vehicles and drones present themselves as new means of transportation in cities. They can be rapidly deployed if their operational safety is secured. However, to date, no precise numerical study has been conducted on the safety of UAM vehicles and drones. In this study, the accident rates of UAM vehicles and drones are predicted based on the accident rates of conventional aircraft. Additionally, control measures for UAM vehicles and drones are presented at a basic level. The results can be summarized as follows: First, in terms of accident rates, for a projected total UAM vehicle flight distance of 650 km and 177,147 h of flight in Seoul in 2035, 0.000221 crashes, 0.45 takeoff/landing accidents, and 0.0011446 deaths are expected. Second, if drones handle 0.5% of the logistics in Seoul in 2035, 38.35 crashes and 7.51 takeoff/landing accidents are projected per year. However, these numbers are plausible only if the infrastructure required for UAM vehicle and drone flights, such as taxiways and flight paths, is built similarly to that for large aircraft. Additionally, UAM vehicles and drones, as with large aircraft, can cause serious damage to facilities and human lives on the ground in the event of a crash. Therefore, thorough response mechanisms for crashes are required even if the crash probability is extremely low. Finally, integration with smart city systems is suggested to monitor UAM vehicle and drone flights and the safety of urban residents. The transportation services of smart cities include emergency dispatch and disaster notification services, which help in immediately notifying the degree of risk to potentially affected urban residents and facilities in the event of a UAM vehicle/drone crash or an emergency. The transportation services of smart cities are also typically equipped with accident handling processes. Therefore, integrating UAM and drone systems into smart city systems is highly recommended.","url":"https://doi.org/10.3390/urbansci9020024","authors":["Han Baek","Jung Kim"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-01-23T04:54:31Z","addedAt":"2026-08-06T22:48:46.008Z","doi":"10.3390/urbansci9020024","updatedAt":"2026-08-31T06:39:56.013Z"},{"id":"doi:10.2139/ssrn.4879969","name":"Vertiport Location Selection Criteria for Urban Air Mobility","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.4879969","authors":["Tülin Mercan","Volkan Yavaş","Dilek Can","Yasin Mercan"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-06-28T22:35:07Z","addedAt":"2026-08-06T22:48:46.008Z","doi":"10.2139/ssrn.4879969","updatedAt":"2026-08-31T06:39:56.013Z"},{"id":"doi:10.2139/ssrn.5122636","name":"Impact of Varying Geometric Levels of Detail in Multi-Direction Urban Rans Simulations Tailored for Urban Air-Mobility","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.5122636","authors":["Akshay Patil","Clara García-Sánchez"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-02-03T15:40:45Z","addedAt":"2026-08-06T22:48:46.008Z","doi":"10.2139/ssrn.5122636","updatedAt":"2026-08-31T06:39:56.013Z"},{"id":"doi:10.14361/9783839430149-007","name":"7. Urban air mobility as a new level for transport?","source":"crossref","abstract":"","url":"https://doi.org/10.14361/9783839430149-007","authors":["Carsten Gertz","Katharina Manderscheid"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-01-15T09:48:49Z","addedAt":"2026-08-06T22:48:46.008Z","doi":"10.14361/9783839430149-007","updatedAt":"2026-08-31T06:39:56.013Z"},{"id":"doi:10.2514/6.2026-111901","name":"Urban Air Mobility: The Future of Air-Taxi Networks in Global Smart Cities","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2026-111901","authors":["SAKSHAM GARG","Wally Moon"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-06-18T14:00:26Z","addedAt":"2026-08-06T22:48:46.008Z","doi":"10.2514/6.2026-111901","updatedAt":"2026-08-31T06:39:56.013Z"},{"id":"doi:10.2139/ssrn.6459678","name":"Urban Air Mobility Ecosystem Readiness in India: A Multi-Dimensional Assessment Framework for Emerging Economies","source":"crossref","abstract":"Urban Air Mobility, or UAM, is no longer a futuristic concept confined to science fiction. With several eVTOL aircraft nearing certification in the United States and Europe, the question for countries like India is not whether this technology will arrive, but whether we are ready for it. This paper proposes a practical assessment tool-the UAM Ecosystem Readiness Index (UAM-ERI)-designed specifically for the messy, complex realities of emerging economies. Unlike existing frameworks that assume a certain baseline of regulatory sophistication and infrastructure maturity, the UAM-ERI accounts for the institutional fragmentation, income disparities, and infrastructure gaps that characterize markets like India. The framework evaluates six interconnected dimensions: Regulatory Maturity, Infrastructure Preparedness, Technological Capability, Economic Viability, Social Acceptance, and Environmental Sustainability. Each dimension is weighted through an Analytical Hierarchy Process involving 18 domain experts. Applying this framework across five Indian metros-Delhi-NCR, Mumbai, Bengaluru, Hyderabad, and Chennai-the study finds that India's technology talent and market size represent genuine strengths, but regulatory clarity and physical infrastructure lag far behind. Bengaluru scores highest overall (0.548), yet even this puts it squarely in the \"developing readiness\" band. The paper closes with a phased 2026-2035 implementation roadmap grounded in these findings.","url":"https://doi.org/10.2139/ssrn.6459678","authors":["Sanjay Kumar"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-04-07T19:16:41Z","addedAt":"2026-08-06T22:48:46.008Z","doi":"10.2139/ssrn.6459678","updatedAt":"2026-08-31T06:39:56.013Z"},{"id":"doi:10.1109/icnsurv.2019.8735335","name":"Are We Ready to Weather Urban Air Mobility?","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icnsurv.2019.8735335","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2019-07-29T21:29:11Z","addedAt":"2026-08-06T22:48:46.008Z","doi":"10.1109/icnsurv.2019.8735335","updatedAt":"2026-08-31T06:39:56.013Z"},{"id":"doi:10.3390/books978-3-0365-9162-9","name":"Urban Air Mobility (UAM)","source":"crossref","abstract":"","url":"https://doi.org/10.3390/books978-3-0365-9162-9","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-11-06T03:17:02Z","addedAt":"2026-08-06T22:48:46.008Z","doi":"10.3390/books978-3-0365-9162-9","updatedAt":"2026-08-31T06:39:56.013Z"},{"id":"doi:10.2139/ssrn.4552676","name":"Organizational Modeling for Just Culture in the Urban Air Mobility Ecosystem","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.4552676","authors":["Raquel Hoffmann","Hidekazu Nishimura","Paulo Gomes"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-09-06T23:55:23Z","addedAt":"2026-08-06T22:48:46.008Z","doi":"10.2139/ssrn.4552676","updatedAt":"2026-08-31T06:39:56.013Z"},{"id":"doi:10.2514/6.2020-3209","name":"Trajectory Simulation for Air Traffic Management Employing a Multirotor Urban Air Mobility Aircraft Model","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2020-3209","authors":["Gano Broto Chatterji"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2020-06-08T17:02:08Z","addedAt":"2026-08-06T22:48:46.008Z","doi":"10.2514/6.2020-3209","updatedAt":"2026-08-31T06:39:56.013Z"},{"id":"doi:10.1109/ev.2019.8892987","name":"Mobility Turnaround, Air Pollution Control and Secure the Budget - Electric Mobility in the Urban Area of Tension","source":"crossref","abstract":"","url":"https://doi.org/10.1109/ev.2019.8892987","authors":["Janine Mielzarek"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2019-11-13T09:20:44Z","addedAt":"2026-08-06T22:48:46.008Z","doi":"10.1109/ev.2019.8892987","updatedAt":"2026-08-31T06:39:56.013Z"},{"id":"doi:10.7470/jkst.2021.39.5.593","name":"A Study on the Cost of Fare for UAM (Urban Air Mobility) Airport Shuttle Service","source":"crossref","abstract":"","url":"https://doi.org/10.7470/jkst.2021.39.5.593","authors":["Jong Hae CHOI","Yonghwa PARK","In Soo JEON"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2021-11-10T00:26:10Z","addedAt":"2026-08-06T22:48:46.008Z","doi":"10.7470/jkst.2021.39.5.593","updatedAt":"2026-08-31T06:39:56.013Z"},{"id":"doi:10.21741/9781644904251-273","name":"An Extended Reality-based Platform for Digital Twin applications in Urban Air Mobility and Advanced Air Mobility: Framework proposed within MOST Project","source":"crossref","abstract":"Abstract. Urban Air Mobility (UAM) is currently emerging as innovative mobility solution for urban transport. To ensure its seamless integration into existing systems, advanced simulation frameworks are strongly needed. Extended Reality (XR) technologies offer powerful tools to support such simulations. This paper presents a suite of Extended Reality-based integrated simulation and interaction platforms for multipurpose testing of UAM through Digital Twins of missions and scenarios. The platforms combine various hardware and software infrastructures and components, including the IRIS Cave Automatic Virtual Environment (CAVE), an eVTOL passenger simulator, and an Augmented Reality application for drone-based aircraft maintenance. Developed within the framework of the MOST – Sustainable Mobility Project, these platforms aim to support diverse use cases and contribute to the safe and efficient integration of UAM systems.","url":"https://doi.org/10.21741/9781644904251-273","authors":["F. De Crescenzio"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-07-10T15:00:33Z","addedAt":"2026-08-06T22:48:46.008Z","doi":"10.21741/9781644904251-273","updatedAt":"2026-08-31T06:39:56.013Z"},{"id":"doi:10.2514/6.2020-3192","name":"Urban Air Mobility Conflict Resolution: Centralized or Decentralized?","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2020-3192","authors":["Min Xue"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2020-06-08T21:02:08Z","addedAt":"2026-08-06T22:48:46.008Z","doi":"10.2514/6.2020-3192","updatedAt":"2026-08-31T06:39:56.013Z"},{"id":"doi:10.46585/pc.2023.2.2486","name":"PROFIL POTENCIÁLNÍHO UŽIVATELE URBAN AIR MOBILITY V ČESKÉ REPUBLICE","source":"crossref","abstract":"Městská letecká mobilita (UAM) je nově vznikající koncept letecké dopravy, ve kterém drony přepravují cestující nebo náklad v hustě obydlených oblastech. UAM umožňuje výrazné zkrácení cestovních časů a obchází dopravní zácpy tím, že umožňuje leteckou dopravu z jednoho místa na druhé v rámci urbanizovaných oblastí. Než však bude možné UAM implementovat, je třeba vyřešit několik problémů, včetně technických problémů. Společenská akceptace a vytvoření životaschopného obchodního modelu jsou také pro rozvoj UAM důležité. Průzkum popsaný v tomto příspěvku má za cíl identifikovat profil potenciálního uživatele UAM. Výsledky naznačují poměrně vysokou ochotu přijmout UAM, přičemž přibližně 77 % respondentů projevilo zájem, zejména pokud by cesta UAM začala z jejich rezidenční oblasti. Logistická regresní analýza odhalila, že pohlaví, vzdělání, zaměstnanecký status, vzorce používání vozidel, frekvence cestování letadlem a motivační faktory, jako je využití cestovního času a rychlost cestování, významně ovlivnily pravděpodobnost použití UAM. Tato zjištění přispívají k pochopení potenciálního uživatelského profilu UAM.","url":"https://doi.org/10.46585/pc.2023.2.2486","authors":["Michal Šimeček"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-12-30T16:17:01Z","addedAt":"2026-08-06T22:48:46.008Z","doi":"10.46585/pc.2023.2.2486","updatedAt":"2026-08-31T06:39:56.013Z"},{"id":"doi:10.2139/ssrn.6592899","name":"Sectoral Adoption and the Regulation of Drones and Urban Air Mobility","source":"crossref","abstract":"We develop a parsimonious economic model of drone and Urban Air Mobility (UAM) regulation centered on two questions that are likely to shape early market development: which applications adopt first, and how regulatory stringency affects adoption across sectors. Sectors differ in gross benefit, implementation cost, baseline risk, and social acceptability. A common regulatory instrument improves legitimacy and reduces unresolved risk, but also raises compliance costs. The model delivers four main results. First, under light regulation, sectors are ranked by a baseline adjusted-surplus index that combines benefit, acceptability, cost, and risk. Second, the effect of regulation on sectoral viability is generally inverted-U shaped. Third, common regulation can change not only the level of adoption but also its sectoral composition by re-ranking applications as stringency changes. Fourth, under a simple planner benchmark, differentiated regulation weakly dominates a uniform rule, and the welfare loss from uniformity is increasing in cross-sector heterogeneity in regulatory sensitivity. The analysis provides a tractable bridge between the descriptive UAM literature and the economics of regulation under uncertainty, while remaining general enough to cover medical, logistics, inspection, public-safety, and passenger applications within a single framework.","url":"https://doi.org/10.2139/ssrn.6592899","authors":["Fabio Carlucci","Giovanni Immordino","Barbara Trincone"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-04-17T03:54:19Z","addedAt":"2026-08-06T22:48:46.008Z","doi":"10.2139/ssrn.6592899","updatedAt":"2026-08-31T06:39:56.013Z"},{"id":"doi:10.2139/ssrn.6667658","name":"Informing Metropolitan Noise Mitigation for Urban Air Mobility Operations","source":"crossref","abstract":"Urban Air Mobility (UAM) represents a promising new frontier in on-demand transportation; however, concerns about its potential to contribute to metropolitan noise pollution remain understudied, and the economic implications of noise mitigation strategies. This study investigates the financial relationship between proposed UAM operations and land use by introducing a novel cost-impact model. The framework will inform the minimization of costs to deploy UAM across operational scales. Simulations of hourly and twice-hourly operations of electric vertical takeoff and landing (EVTOL) aircraft between hypothetical vertiports along direct routes in Los Angeles and Dallas-Fort Worth are conducted. Results suggest that neither the network nor the aircraft is likely to significantly affect sensitive structures or residences when applying the current noise guideline threshold of 65 dBA L_dn. However, at lower thresholds of 55 dBA+, a substantially larger number of communities would experience exposure to aviation noise, potentially impeding public acceptance of UAM EVTOL operations.","url":"https://doi.org/10.2139/ssrn.6667658","authors":["Yair Guerrero","Aidan Molloy","Nicole Artemyev","Matthew Clarke"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-04-28T14:51:53Z","addedAt":"2026-08-06T22:48:46.008Z","doi":"10.2139/ssrn.6667658","updatedAt":"2026-08-31T06:39:56.013Z"},{"id":"doi:10.1016/b978-0-08-102671-7.10764-x","name":"Urban Air Mobility: Opportunities and Obstacles","source":"crossref","abstract":"","url":"https://doi.org/10.1016/b978-0-08-102671-7.10764-x","authors":["Adam Cohen","Susan Shaheen"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2021-05-18T13:39:26Z","addedAt":"2026-08-06T22:48:46.008Z","doi":"10.1016/b978-0-08-102671-7.10764-x","updatedAt":"2026-08-31T06:39:56.013Z"},{"id":"doi:10.1016/j.jairtraman.2024.102546","name":"Exploring university students’ acceptability of autonomous vehicles and urban air mobility","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.jairtraman.2024.102546","authors":["Yigit Can Yavuz"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-01-31T11:09:26Z","addedAt":"2026-08-06T22:48:46.008Z","doi":"10.1016/j.jairtraman.2024.102546","updatedAt":"2026-08-31T06:39:56.013Z"},{"id":"doi:10.36227/techrxiv.175760291.12910474/v1","name":"Towards Personal Aerial Vehicles for Urban Air Mobility Transportation: Examining Considerations and Potential Challenges","source":"crossref","abstract":"Personal Aerial Vehicles (PAVs) are poised to reshape urban transportation by offering flexible and on-demand mobility with the potential to reduce traffic congestion, enhance transportation access, and transform urban mobility. This study provides a comprehensive review of emerging trends, technological innovations, regulatory frameworks, and challenges for integrating personal aerial vehicles (PAVs) into modern transportation systems. Through a combination of bibliometric analysis and structured literature review, current research is classified into three core domains: (1) vehicle structure, hardware, and materials; (2) software systems for PAV operations; and (3) policy, regulation, and societal considerations. The classification highlights key trends, innovations, challenges, and technological limitations in each domain. The study also introduces the concept of Aerial Vehicles as a Service (AVaaS) and examines the feasibility of passengers-as-pilots in semi-autonomous operations. Drawing on parallels with Uncrewed Aerial Vehicle (UAV) research, the study identifies three priority areas for advancing PAV integration: (1) developing highfidelity simulation platforms; (2) creating open-access PAV-specific dataset to support data-driven modeling; and (3) implementing robust cybersecurity frameworks to ensure safe, data-driven, and secure operations in urban environments. The insights from this study provide a forward-looking roadmap to guide engineers, policymakers, and infrastructure stakeholders toward the safe, scalable, and socially accepted deployment of PAVs within the Urban Air Mobility (UAM) ecosystem.","url":"https://doi.org/10.36227/techrxiv.175760291.12910474/v1","authors":["Abhishek Phadke","Neelakshi Majumdar"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-09-11T15:01:57Z","addedAt":"2026-08-06T22:48:46.008Z","doi":"10.36227/techrxiv.175760291.12910474/v1","updatedAt":"2026-08-31T06:39:56.013Z"},{"id":"doi:10.21203/rs.3.rs-3771775/v1","name":"Introducing Digital Air Traffic Controllers for Urban Air Mobility to Ensure Safe and Energy-efficient Flight Operations","source":"europepmc","abstract":"Abstract Facing the continued growth of cities, the introduction of urban air mobility intends to reduce traffic congestion and improve the quality of services such as on-demand-transport, reduced travel times and increased connectivity. Nevertheless, its integration into existing air traffic flows remains one of the biggest challenges ahead, especially once controlled airspace overlaps with urban air mobility areas, such as at airport control zones. Here, air traffic control needs to coordinate among urban air mobility vehicles and conventional air traffic. In 2022, DLR conducted a human-in-the-loop simulation with ten air traffic controllers to validate previously developed workflows for that coordination task applied for Hamburg airport. The simulation results revealed that additional urban air mobility traffic increases controllers’ experienced workload up to 30% while slightly reducing their perceived situation awareness. Thus, a majority of controllers participating in the trials suggested to introduce an additional controller working position to exclusively control airtaxis and traffic following visual flight rules. This option is assessed as owning a high potential as cost intensive adaptions of regulations and procedures can be omitted. Nevertheless, the feasibility of this option is rather low due to the limited availability of endorsed human controllers. This study proposes a concept for a digital controller taking the responsibility of guidance for airtaxis under visual flight rules traffic (abbr. VFR) within a control zone. This digital controller is named “UAM digital controller” (abbr UDC) and based on algorithms calculating slots and trajectories which have been validated in previous DLR projects. The UDC coordinates with the human controller once a potential conflict is detected. Within the study, first the concept of the digital controller is defined, following existing work. As a second step, a theoretical evaluation based on an air traffic control task model and an operational concept for airtaxi integration will analyse the task load reduction for the human controller. Last but not least, the expected energy saving of flight operations by the digital controllers will be assessed.","url":"https://doi.org/10.21203/rs.3.rs-3771775/v1","authors":["Sebastian Schier-Morgenthal","Rabeb Abdellaoui","Isabel Metz"],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2023","addedAt":"2026-08-06T22:48:46.008Z","doi":"10.21203/rs.3.rs-3771775/v1","updatedAt":"2026-08-31T06:39:56.012Z"},{"id":"doi:10.5220/0010557200002995","name":"Urban Air Mobility (UAM): A Model Proposal based on Agents using Netlogo","source":"crossref","abstract":"","url":"https://doi.org/10.5220/0010557200002995","authors":["Felipe Ferrare","Derick Baum","Jorge Almeida Júnior","João Camargo Júnior","Paulo Cugnasca"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2022-01-11T13:21:28Z","addedAt":"2026-08-06T22:48:46.008Z","doi":"10.5220/0010557200002995","updatedAt":"2026-08-31T06:39:56.013Z"},{"id":"doi:10.1016/j.jairtraman.2022.102336","name":"Consumer intention over upcoming utopia: Urban air mobility","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.jairtraman.2022.102336","authors":["Volkan Yavas","Özge Yavaş Tez"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2022-12-07T12:42:31Z","addedAt":"2026-08-06T22:48:46.008Z","doi":"10.1016/j.jairtraman.2022.102336","updatedAt":"2026-08-31T06:39:56.013Z"},{"id":"doi:10.4337/9781035377527.00015","name":"Conclusion: institution building for sustainable urban mobility policies","source":"crossref","abstract":"","url":"https://doi.org/10.4337/9781035377527.00015","authors":["Peter Knoepfel","Wyn Grant","Anthony Perl"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-05-30T14:07:04Z","addedAt":"2026-08-06T22:48:46.008Z","doi":"10.4337/9781035377527.00015","updatedAt":"2026-08-31T06:39:56.013Z"},{"id":"doi:10.2139/ssrn.5971710","name":"Analyzing the Acceptability of Urban Air Mobility in South Korea Using Importance-Performance Analysis","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.5971710","authors":["Sunwook Park","myeonghyeon kim"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-12-26T18:44:49Z","addedAt":"2026-08-06T22:48:46.008Z","doi":"10.2139/ssrn.5971710","updatedAt":"2026-08-31T06:39:56.013Z"},{"id":"doi:10.1201/9781003504337-7","name":"Urban Air Mobility Systems","source":"crossref","abstract":"","url":"https://doi.org/10.1201/9781003504337-7","authors":["Milan Janić"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-10-28T10:37:30Z","addedAt":"2026-08-06T22:48:46.008Z","doi":"10.1201/9781003504337-7","updatedAt":"2026-08-31T06:39:56.013Z"},{"id":"doi:10.2139/ssrn.6823358","name":"Tour-based Network Design and Demand Forecasting for Urban Air Mobility (UAM)","source":"crossref","abstract":"Urban Air Mobility (UAM) has emerged as a promising alternative mode of urban transportation, offering the ability to bypass roadway congestion with environmentally friendly, safe, quiet, and on-demand eVTOL fleet. Our research focuses on estimating UAM demand and identifying key influencing factors using a tour-based demand model, which provides a more realistic representation of urban travel behavior. Compared with traditional trip-based models, the tour-based approach captures the interdependence of trips within a tour, thereby improving forecast accuracy for multimodal systems that integrate UAM. We apply Integer Programming (IP) to design the UAM network and estimate shifted demand, optimizing to minimize travelers' generalized costs. By modeling complete tours rather than isolated trips, the framework better reflects actual travel choices and mode-shift potential. Methodologically, building on Wu &amp;amp; Zhang (2021), we extended the single-allocation p-hub median problem to support a case study in the Tampa Bay Area. Results indicate that with 10 to 100 vertiports, 320 and 2,341 daily tours shift to UAM among the candidate tours. Travelers exhibit strong preferences for shorter access and egress times and distances. With the tourbased (round-trip) structure, personal vehicles (PVs) are primarily used to access and egress origin vertiports, whereas for-hire services are more commonly used at destination vertiports. Overall, the findings provide valuable insights for both city planners and UAM service providers, underscoring that UAM's success hinges on strategically located vertiports that enhance accessibility. The study highlights the importance of comprehensive, system-level planning to develop an efficient and competitive UAM transportation network.","url":"https://doi.org/10.2139/ssrn.6823358","authors":["Mohammed Almasabi","Yu Zhang","Sasan Mahmoudinazlou"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-06-08T01:52:46Z","addedAt":"2026-08-06T22:48:46.008Z","doi":"10.2139/ssrn.6823358","updatedAt":"2026-08-31T06:39:56.013Z"},{"id":"doi:10.2139/ssrn.4984801","name":"Analysis of Potential User Characteristics According to a Staged Urban Air Mobility Plan","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.4984801","authors":["jinhak lee","Do-Gyeong Kim"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-10-12T04:42:16Z","addedAt":"2026-08-06T22:48:46.008Z","doi":"10.2139/ssrn.4984801","updatedAt":"2026-08-31T06:39:56.013Z"},{"id":"doi:10.2514/6.2018-3667","name":"Towards High-Density Urban Air Mobility","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2018-3667","authors":["Michael Lowry"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2018-06-24T13:57:23Z","addedAt":"2026-08-06T22:48:46.008Z","doi":"10.2514/6.2018-3667","updatedAt":"2026-08-31T06:39:56.013Z"},{"id":"doi:10.15394/ijaaa.2020.1540","name":"Real-Time Urban Weather Observations for Urban Air Mobility","source":"crossref","abstract":"","url":"https://doi.org/10.15394/ijaaa.2020.1540","authors":["Kevin A. Adkins","Mustafa Akbas","Marc Compere"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2021-01-13T21:16:54Z","addedAt":"2026-08-06T22:48:46.008Z","doi":"10.15394/ijaaa.2020.1540","updatedAt":"2026-08-31T06:39:56.013Z"},{"id":"doi:10.4135/9781071931141","name":"Volocopter: Pursuit of Venture Legitimacy in the Sustainable Urban Air Mobility Ecosystem","source":"crossref","abstract":"","url":"https://doi.org/10.4135/9781071931141","authors":["Farsan Madjdi","Badri Zolfaghari"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-09-08T12:18:38Z","addedAt":"2026-08-06T22:48:46.008Z","doi":"10.4135/9781071931141","updatedAt":"2026-08-31T06:39:56.013Z"},{"id":"doi:10.3390/su12083320","name":"Sustainable Urban Air Mobility Supported with Participatory Noise Sensing","source":"crossref","abstract":"In about 15 years, there is likely to be urban air mobility (UAM) in larger cities across the globe. Air taxis will provide on-demand transportation for individual needs. They will also connect important transportation nodes, such as airports and city centers, as well as providing quick transfers between train stations or a convenient option for crossing rivers and lakes. It is hoped that UAM will help meet today’s political targets of sustainability and decarbonization. However, there are certain threats that could impede the sustainable and thus successful introduction of UAM to our cities, with noise being a prominent limitation. This paper argues that citizens have to be viewed as stakeholders in urban air transportation, regardless of whether they or not intend to use it, and that a concept of resident participatory noise sensing (PNS) will be beneficial to the implementation of UAM. Web-based services and smartphones facilitate the access and updating of current information about local noise distributions, thus enabling them to be used to foster UAM in smart cities.","url":"https://doi.org/10.3390/su12083320","authors":["Hinnerk Eißfeldt"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2020-04-21T05:48:52Z","addedAt":"2026-08-06T22:48:46.008Z","doi":"10.3390/su12083320","updatedAt":"2026-08-31T06:39:56.013Z"},{"id":"doi:10.5194/icuc12-157","name":"A Satellite-Based Fog Detection Method UsingGeostationary Satellite Data For Urban Air Mobility ","source":"crossref","abstract":"Fog is considered a significant threat to aircraft and Urban Air Mobility (UAM) vehicles during takeoff and landing, making accurate detection essential for safe operations. Although fog detection in Korea is commonly conducted using the Advanced Meteorological Imager (AMI) onboard the Geostationary Korea Multi-Purpose Satellite-2A (GK-2A), its spatial resolution is limited to 2 km for nighttime observations across East Asia, and 500 m for daytime. Such coarse resolution may not be sufficient to capture localized fog conditions critical for UAM operations, highlighting the need for fog detection with higher-resolution. This study presents a new method for generating a fine-resolution fog detection product. Specifically, Geostationary Korea Multi-Purpose Satellite-2A (GK-2A) Land Surface Temperature (LST) data, originally at 2 km resolution, were changed to 100 m resolution using a Taylor series expansion approach. This physics-based method overcomes the limitations of purely statistical downscaling by incorporating LST and surface characteristic indices derived from the Landsat-8 Thermal Infrared Sensor (TIRS). The downscaled LST was combined with an energy budget equation and the Crop Water Stress Index (CWSI) to derive high-resolution air temperature. By providing a high-resolution product, this method is expected to contribute significantly to safer UAM operations and advance remote sensing applications for weather-related hazard management.","url":"https://doi.org/10.5194/icuc12-157","authors":["Sang Seo Park","Dahwan Shin"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-05-21T15:10:32Z","addedAt":"2026-08-06T22:48:46.008Z","doi":"10.5194/icuc12-157","updatedAt":"2026-08-31T06:39:56.013Z"},{"id":"doi:10.2139/ssrn.5606602","name":"Optimal subsidy strategies for achieving Urban Air Mobility promotion target considering infrastructure","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.5606602","authors":["Yajun Shen","Peiwu Dong","Yanbing Ju"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-10-15T04:15:24Z","addedAt":"2026-08-06T22:48:46.008Z","doi":"10.2139/ssrn.5606602","updatedAt":"2026-08-31T06:39:56.013Z"},{"id":"doi:10.21203/rs.3.rs-9212891/v1","name":"AI-Enabled Two-tiered Site Selection and Optimization Model for Waterfront Urban Air Mobility Vertiports","source":"europepmc","abstract":"Abstract Site selection for urban air mobility (UAM) infrastructure is critical for building a three-dimensional multimodal transportation network. Taking the Shanghai waterfront as a case study, this study reports a two-tiered artificial intelligence–enabled optimization model for the site selection of waterfront vertiports. The first tier utilizes a random forest regression algorithm to score and recommend high-potential candidate sites, while the second tier incorporates an improved genetic algorithm to perform multiobjective topological optimization among construction costs, travel times, and service coverage. The proposed model effectively captures the nonlinear coupling relationships among site selection factors, with population density and distance from the river reflecting potential demand and physical feasibility, respectively. Site spacing influences safety and transfer efficiency, while capacity indirectly determines system coverage. The optimized UAM network exhibits a complementary core–periphery structure, with highly saturated demand at core-area sites, making them suitable for premium express lines, whereas peripheral-area sites are well-suited to serve as main hubs. This study provides a quantitative decision-making reference for planning the low-altitude economy in megacities.","url":"https://doi.org/10.21203/rs.3.rs-9212891/v1","authors":["Ben Yang","Jianjia He","Yuning Zhang"],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:46.008Z","doi":"10.21203/rs.3.rs-9212891/v1","updatedAt":"2026-08-31T06:39:56.012Z"},{"id":"doi:10.1038/s41598-026-48143-9","name":"Intelligent scheduling and resource allocation for urban air mobility networks based on graph neural networks.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41598-026-48143-9","authors":["Xiaoqi Xu","Yiyang Zhao","Peilong Zhang"],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:46.008Z","doi":"10.1038/s41598-026-48143-9","updatedAt":"2026-08-31T06:39:57.842Z"},{"id":"doi:10.21203/rs.3.rs-8031282/v1","name":"Informing Metropolitan Noise Mitigation for Urban Air Mobility Operations","source":"europepmc","abstract":"Abstract Urban Air Mobility (UAM) represents a promising new frontier in on-demand transportation; however, concerns over its potential contribution to metropolitan noise pollution are increasingly understated. Aircraft noise and the associated annoyance have been linked to health risks, such as hearing loss and heightened anxiety in those who face high exposure. Additionally, the economic costs of noise mitigation from aviation are largely underexplored. This paper aims to highlight the economic relationship between proposed UAM operations and land use through a novel cost model. This model identifies a new constraint that can better inform how to minimize the initial cost necessary to enable UAM operations. This is achieved through the simulation of hourly and twice-hourly electric vertical takeoff and landing (EVTOL) aircraft operations between theorized vertiports along direct flight paths in the Los Angeles and Dallas Fort Worth area. Findings suggest that initial and mid-term UAM operations would not have a large impact on sensitive structures and residences based on the existing noise guidelines threshold, 65 dBA $L_{dn}$. However, for noise levels at a slightly lower threshold of 55 dBA+, significantly more communities would be impacted by increased levels of aviation noise, which could hinder public acceptance for UAM EVTOL operations.","url":"https://doi.org/10.21203/rs.3.rs-8031282/v1","authors":["Yair Guerrero","Aidan Molloy","Nicole Artemyev","Matthew Clarke"],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","addedAt":"2026-08-06T22:48:46.008Z","doi":"10.21203/rs.3.rs-8031282/v1","updatedAt":"2026-08-31T06:39:56.012Z"},{"id":"doi:10.1121/10.0042757","name":"Determination of the noise impact range of urban air mobility in urban areas using noise hemisphere.","source":"europepmc","abstract":"The noise problem associated with the introduction of urban air mobility (UAM) is a critical challenge that must be addressed. Currently, noise evaluation methods and standards for UAM are lacking. The present study, as an initial step towards establishing UAM noise evaluation criteria, aims to analyze the noise impact range based on actual UAM noise data and propose appropriate UAM noise measurement locations comparing them with existing aircraft noise measurement locations. Using soundplan software, the noise impact ranges of noise hemisphere were predicted within the K-UAM Grand Challenge. The results showed that the noise hemisphere exerted noise influence up to a horizontal radius of 400–600 m. Furthermore, appropriate UAM noise measurement locations for each region were proposed comparing the UAM noise impact assessment with existing aircraft noise measurement locations. The findings of the present study can be validated through the actual noise measurements during future UAM demonstrations and contribute to the development of UAM noise evaluation standards.","url":"https://doi.org/10.1121/10.0042757","authors":["Seung-Min Lee","Seong-Yong Wie","Won-Hak Lee","Chan-Hoon Haan"],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:46.008Z","doi":"10.1121/10.0042757","updatedAt":"2026-08-31T06:39:54.185Z"},{"id":"doi:10.20944/preprints202512.2648.v1","name":"A Low-Altitude Urban Air Mobility Operations Platform with Mission Lifecycle Assetization","source":"europepmc","abstract":"Urban Air Mobility (UAM) and low-altitude drone operations are emerging as a critical component of next-generation urban transportation and logistics systems. As mission volumes increase, operators face growing challenges in coordinating large-scale low-altitude missions, managing heterogeneous operational states, and closing the loop between mission execution and platform-level resource utilization. Existing UAM platforms primarily focus on flight scheduling and monitoring, while lacking systematic mechanisms to model mission lifecycles and their operational value within an integrated platform architecture. This paper presents SkyNetUAM, a low-altitude UAM operations platform that introduces a structured mission lifecycle model to bridge mission planning, execution, and post-mission settlement within a unified system. We propose a hierarchical operational asset model covering individual missions, service packages, and air-corridor time slots, enabling fine-grained tracking of mission states and operational performance. The platform architecture integrates real-time mission scheduling, operational monitoring, and lifecycle state management, allowing mission-level events to drive platform-wide coordination and resource allocation. As an operational extension, the system incorporates a lightweight on-chain persistence mechanism to record mission states and support automated settlement workflows without altering the core operational logic. A prototype implementation demonstrates the end-to-end workflow from mission creation to completion across simulated low-altitude scenarios, and a reproducible 100k-missions/day experiment quantifies approval rate, delay behavior, and latency distributions under congestion and regulatory constraints.","url":"https://doi.org/10.20944/preprints202512.2648.v1","authors":["Yushu Liu","Longbiao Wang","Chenglin Du","Haixiao Zhai"],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","addedAt":"2026-08-06T22:48:46.008Z","doi":"10.20944/preprints202512.2648.v1","updatedAt":"2026-08-31T06:39:56.013Z"},{"id":"doi:10.3390/s26030888","name":"Power Systems and eVTOL Optimization with Information Exchange for Green and Safe Urban Air Mobility.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s26030888","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:46.008Z","doi":"10.3390/s26030888","updatedAt":"2026-08-31T06:39:57.841Z"},{"id":"doi:10.1121/10.0044125","name":"Erratum: Numerical investigation of the noise generation of electric motors in urban air mobility vehicles [J. Acoust. Soc. Am. 158(4), 2647-2658 (2025)].","source":"europepmc","abstract":"","url":"https://doi.org/10.1121/10.0044125","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:46.008Z","doi":"10.1121/10.0044125","updatedAt":"2026-08-31T06:39:54.185Z"},{"id":"doi:10.1121/10.0039427","name":"Numerical investigation of the noise generation of electric motors in urban air mobility vehiclesa).","source":"europepmc","abstract":"Current concepts of urban air mobility vehicles usually rely on a set of individual electrically driven propulsion systems. Although aerodynamically generated noise from the rotors or fans remains the main contribution to the overall noise, noise generated by electric machines may well add to the total noise. This is especially true for fast-spinning electric motors that cause high-frequency noise contributions, which may notably increase the total noise and lead to unwanted psychoacoustic effects. In the current paper, the noise generation of two versions of permanent magnet synchronous machines in a conventional inrunner configuration, intended for use in a concept vehicle propelled by eight tiltable rotors, is investigated through numerical simulations and analytical models. One version is a direct drive, designed to deliver the torque and rotational speed required for the rotor directly. The other is a geared version, delivering a higher rotational speed and lower torque, thus requiring an additional gear box to drive the rotor. The results show that the geared motor version leads to notable noise contributions at frequencies of 2 kHz and 9 kHz. Coupled with a high radiation efficiency in this frequency range, the findings imply that noise from electric machines contributes to the total noise from the vehicle.","url":"https://doi.org/10.1121/10.0039427","authors":["Sebastian Hakansson","Philipp Schulze","Ralf Burgmayer","Erik W. Schneehagen","Thomas F. Geyer"],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","addedAt":"2026-08-06T22:48:46.008Z","doi":"10.1121/10.0039427","updatedAt":"2026-08-31T06:39:54.185Z"},{"id":"doi:10.21203/rs.3.rs-7621928/v1","name":"Housing market impacts of urban air mobility in Seoul: evidence across district and parcel scales","source":"europepmc","abstract":"Abstract Urban Air Mobility (UAM) is emerging as a new layer of urban transport, yet its effects on housing markets remain unclear. This study examines how UAM deployment could reshape apartment prices and support more balanced urban development in Seoul. A scenario-based framework is developed to link reductions in generalized travel cost with spatial variation in housing values. A hedonic pricing model is estimated using 35,408 individual apartment transactions across 466 legal subdistricts, accounting for building characteristics, neighborhood amenities, socio-demographics, and accessibility to transport hubs. Six UAM scenarios, differing in network coverage and service performance, are simulated. Results show that service quality improvements produce stronger housing price appreciation than network expansion alone, while integrated strategies generate the most widespread and equitable gains. Substantial increases appear in peripheral districts where accessibility is currently constrained, suggesting that UAM can mitigate spatial disparities and strengthen housing markets in underserved areas. By evaluating impacts at both the district and parcel levels, the study provides granular evidence of UAM’s influence on housing values. It delivers actionable insights for housing policy, urban planning, and sustainable urban development.","url":"https://doi.org/10.21203/rs.3.rs-7621928/v1","authors":["Hanghun Jo","Gyuseong Kim","Minseok Kim","Hyunggeun Song","Yeolin Cho","Sungtaek Choi"],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","addedAt":"2026-08-06T22:48:46.008Z","doi":"10.21203/rs.3.rs-7621928/v1","updatedAt":"2026-08-31T06:39:56.013Z"},{"id":"doi:10.20944/preprints202506.1814.v1","name":"Certifiable Transformer-Based Sensor Fusion Architecture for Urban Air Mobility","source":"europepmc","abstract":"Urban Air Mobility (UAM) vehicles rely on robust multi-sensor perception for safe navigation in complex environments. This paper presents a novel sensor fusion architecture using a Transformer-based model for integrating LiDAR, Electro-Optical/Infrared (EO/IR) cameras, GNSS, ADS-B, IMU, and radar data. We detail a hardware-software co-design for real-time embedded deployment, emphasizing compliance with DO-178C(software) and DO-254 (hardware) certifiability. A mathematical formulation of the fusion algorithm is provided, leveraging cross-attention to achieve multimodal state estimation. We simulate an urban canyon scenario with multiple UAM vehicles (using ROS2/Gazebo and MATLAB) to evaluate performance. Results demonstrate high accuracy, low latency, and stable confidence intervals, even under sensor degradation or GNSS loss. Comparative analysis shows our Transformer-based fusion outperforms legacy Extended Kalman Filter and earlier deep models (including a BART-based approach) in both accuracy and robustness. We also discuss how the design handles adversarial sensor inputs and degrades gracefully. The proposed architecture, supported by certifiable development practices and a safety monitor subsystem, offers a viable path toward certification in UAM.","url":"https://doi.org/10.20944/preprints202506.1814.v1","authors":["Yash K Shah"],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","addedAt":"2026-08-06T22:48:46.008Z","doi":"10.20944/preprints202506.1814.v1","updatedAt":"2026-08-31T06:39:56.012Z"},{"id":"doi:10.21203/rs.3.rs-7047184/v1","name":"Helicopter Noise Study: Towards A Better Understanding of Urban Air Mobility Noise","source":"europepmc","abstract":"Abstract The paper presents the set-up, preparation and results of a helicopter noise annoyance study performed around “Héliport de Paris - Issy-les-Moulineaux – Valérie André” heliport. This study includes acoustic measurements around the heliport, simulations of helicopter noise emissions and their associated noise footprint along the measured trajectories, and the results of a survey carried out on the inhabitants living close to the helicopter routes in the area. This study aims at better understanding helicopter noise annoyance criteria and acceptance of future Urban Air Mobility operations.","url":"https://doi.org/10.21203/rs.3.rs-7047184/v1","authors":["Julien Caillet","Pierre Dieumegard","Matthieu Sineau","Manuel Hellot","Chrystele Philipps-Bertin","Aboud Kourieh"],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","addedAt":"2026-08-06T22:48:46.008Z","doi":"10.21203/rs.3.rs-7047184/v1","updatedAt":"2026-08-31T06:39:56.012Z"},{"id":"doi:10.1121/10.0037186","name":"Low-noise trajectory optimization of urban air mobility in the urban environment using deep reinforcement learninga).","source":"europepmc","abstract":"This study proposes a method for optimizing low-noise flight trajectory for urban air mobility (UAM) in urban environments using deep reinforcement learning (DRL). The objective is to efficiently derive flight trajectories that minimize noise impact on ground observers as UAM vehicles approach a vertiport for landing. Noise data were calculated for various flight velocities, and a deep learning (DL) model was employed to estimate noise map from noise propagation. A DRL model based on the Soft actor critic algorithm was designed, incorporating noise reward function through the trained DL model while adhering to specified flight constraints. The results confirmed that the DRL model effectively guided the UAM vehicle to the target area while accomplishing the given flight conditions. Various case studies were conducted and confirmed that the DRL model can optimize unique noise-optimized trajectories for a given simplified urban environment, vehicle initial state, and designated noise reduction zone. Also, the optimized low-noise trajectory was shown to reduce both the average noise level and the proportion of high noise impact areas compared to the reference trajectory. This DRL based trajectory optimization method is expected to contribute to the development of low-noise operational strategies for UAM vehicles in urban settings.","url":"https://doi.org/10.1121/10.0037186","authors":["Younghoon Kim","Jeongwoo Ko","Kukhwan Yu","Soogab Lee"],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","addedAt":"2026-08-06T22:48:46.008Z","doi":"10.1121/10.0037186","updatedAt":"2026-08-31T06:39:54.186Z"},{"id":"doi:10.1121/10.0036228","name":"Psychoacoustic evaluation of different fan designs for an urban air mobility vehicle with distributed propulsion systema).","source":"europepmc","abstract":"Distributed propulsion systems are developed to power a new generation of aircraft. However, it is not known yet which noise emissions these propulsion systems produce, which psychoacoustic characteristics such systems exhibit, and how the generated noise is perceived. This paper investigates how fans with fewer stator than rotor blades affect the noise perception of a distributed propulsion system intended for an urban air mobility vehicle, which is equipped with 26 low-speed ducted fans. Three fan designs with different tonal to broadband noise ratio and opposite dominant noise radiation directions are examined. An analytical process is applied to determine the noise emission, propagate the sound through the atmosphere, auralize the flyover signals, and calculate psychoacoustic metrics. A validation and comparison with A320 turbofan engines at takeoff is provided. The results indicate that the distributed propulsion system generates noise signatures with complex directional characteristics and high sharpness. By applying tonal noise reduction mechanisms at source, a significant effective perceived noise level reduction is achieved for the considered fan stages with fewer stator than rotor blades. In addition, tonality, loudness and roughness are reduced well above one noticeable difference compared to a baseline fan and similar or even lower values are achieved than with turbofans.","url":"https://doi.org/10.1121/10.0036228","authors":["Stephen Schade","Roberto Merino-Martinez","Antoine Moreau","Susanne Bartels","Robert Jaron"],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","addedAt":"2026-08-06T22:48:46.008Z","doi":"10.1121/10.0036228","updatedAt":"2026-08-31T06:39:54.184Z"},{"id":"doi:10.1038/s41598-025-86843-w","name":"Routing and scheduling optimization for urban air mobility fleet management using quantum annealing.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41598-025-86843-w","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","addedAt":"2026-08-06T22:48:46.008Z","doi":"10.1038/s41598-025-86843-w","updatedAt":"2026-08-31T06:39:47.153Z"},{"id":"doi:10.20944/preprints202503.0773.v1","name":"Network Topology-Driven Vertiport Placement Strategy: Integrating Urban Air Mobility with the Seoul Metropolitan railway system","source":"europepmc","abstract":"We propose a vertiport location-allocation methodology for Urban Air Mobility (UAM) from the perspective of transportation network topology. The location allocation of vertiports within a transportation network is a crucial factor in determining the unique characteristics of UAM compared to existing transportation modes. However, as UAM is still in the pre-commercialization phase with significant uncertainties, there are limitations in applying location-allocation models that optimize objective functions such as maximizing service coverage or minimizing travel distance. Instead, vertiport location-allocation should be approached from a strategic perspective, taking into account public capital investments aimed at improving the transportation network by leveraging UAM&amp;rsquo;s distinct characteristics compared to existing urban transportation modes. Therefore, we present a methodology for evaluating the impact of vertiport location-allocation strategies on changes in transportation network topology. To analyze network topology, we use the Seoul Metropolitan railway network as the base network and construct scenarios where vertiports are allocated based on highly connected nodes and those prioritizing structurally vulnerable nodes. We then compare and analyze global network efficiency, algebraic connectivity, average shortest path length, local clustering coefficient, transitivity, degree assortativity and modularity. We confirm that while allocating vertiports based on network centrality improves connectivity compared to vulnerability-based allocation, the latter approach is superior in terms of network efficiency. Additionally, as the proportion of vertiports increases, the small-world property of the network rapidly increases, indicating that the vertiport network can fundamentally alter the structure of multimodal transportation systems. Regardless of whether centrality or vulnerability is prioritized, we observe that connectivity increase exponentially, while network efficiency changes linearly with the increase in vertiport proportion. Our findings highlight the necessity of a network-based approach to vertiport location-allocation in the early stages of UAM commercialization, and we expect our results to inform future research directions on vertiport allocation in multimodal transportation networks.","url":"https://doi.org/10.20944/preprints202503.0773.v1","authors":["Kihan Song","HaJeong Lee"],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","addedAt":"2026-08-06T22:48:46.008Z","doi":"10.20944/preprints202503.0773.v1","updatedAt":"2026-08-31T06:39:56.013Z"},{"id":"doi:10.7717/peerj-cs.1946","name":"Demand prediction for urban air mobility using deep learning.","source":"europepmc","abstract":"","url":"https://doi.org/10.7717/peerj-cs.1946","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2024","addedAt":"2026-08-06T22:48:46.008Z","doi":"10.7717/peerj-cs.1946","updatedAt":"2026-08-31T06:39:47.153Z"},{"id":"doi:10.21203/rs.3.rs-4470707/v1","name":"Validation of Collision Detection and Avoidance Methods for Urban Air Mobility through Simulation","source":"europepmc","abstract":"Abstract Urban Air Mobility is a new concept of regional aviation that has been growing in popularity as a solution to the issue of ever-increasing ground traffic. Electric vehicles with vertical take-off and landing capabilities are being developed by numerous market companies as a result of the push toward environmentally sustainable aviation. The next stage in this development process would be to define the concept of operation of these conceptual aircraft and then to integrate them with the existing airspace once they are airborne. In addition to coordinating with conventional air traffic and other Urban Air Mobility vehicles, collision avoidance with uncooperative airspace users has to be addressed. Birds and drones of all sizes pose a serious risk to these low-flying aircraft. Innovative collision detection and avoidance techniques need to be employed due to the uncooperative nature of these airspace users and different performance characteristics of Urban Air Mobility vehicles compared to classical fixed-wing aircraft. The aim of this study is to validate the concept of one such system by means of fast-time simulations. This system builds, similarly to the Airborne Collision Avoidance System, on safety envelopes and rule-based collision-avoidance to prevent collisions with non-cooperative airspace members. The system is designed to work with all aircraft configurations used for Urban Air Mobility operations. To assess its influence on safety and capacity, different scenarios are modelled by varying parameters such as intruder type, location, flight path. The parameters assessed are differences in flight time and closest point of approach with and without the collision avoidance system in place. Moreover, the influence of different configurations of Urban Air Mobility aircraft on these parameters is analysed. The results show that the separation between the ownship and intruder is increased substantially which leads to safe operations at bearable delay costs.","url":"https://doi.org/10.21203/rs.3.rs-4470707/v1","authors":["Isha Panchal","Sophie F. Armanini","Isabel C. Metz"],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2024","addedAt":"2026-08-06T22:48:46.008Z","doi":"10.21203/rs.3.rs-4470707/v1","updatedAt":"2026-08-31T06:39:56.012Z"},{"id":"doi:10.1121/10.0024242","name":"Deep learning based prediction of urban air mobility noise propagation in urban environment.","source":"europepmc","abstract":"A deep learning based method is proposed to predict the urban air mobility (UAM) noise propagation in the urban environment. This method aims to efficiently estimate the noise impact of UAM flights on the complex urban area. The noise hemisphere was created via the comprehensive multirotor noise assessment framework to determine the noise level of UAM. The noise propagation to a randomly generated three-dimensional (3D) urban area was then calculated using the ray tracing method, including atmospheric attenuation and multiple reflections. 45 000 two-dimensional noise maps were used to train and evaluate the modified convolutional neural network. The results demonstrated high accuracy, with a root mean square error of only 2.56 dB compared to the ray tracing method, while reducing computation time by more than 1800 times. This model was applied to analyze the noise impact of various UAM flight conditions and landing scenarios at a vertiport. This deep learning approach is a fast method with adequate accuracy for predicting UAM noise impact in 3D urban environments. Also, it can inform the development of noise based strategies for UAM operations.","url":"https://doi.org/10.1121/10.0024242","authors":["Younghoon Kim","Soogab Lee"],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2024","addedAt":"2026-08-06T22:48:46.008Z","doi":"10.1121/10.0024242","updatedAt":"2026-08-31T06:39:49.544Z"},{"id":"doi:10.1016/j.fmre.2023.08.006","name":"The role of intelligent technology in the development of urban air mobility systems: A technical perspective.","source":"europepmc","abstract":"","url":"https://doi.org/10.1016/j.fmre.2023.08.006","authors":["Yang Liu","Cheng Lyu","Fan Bai","Omkar Parishwad","Ying Li"],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2023-09-26T01:47:32Z","addedAt":"2026-08-06T22:48:46.008Z","doi":"10.1016/j.fmre.2023.08.006","updatedAt":"2026-08-31T06:39:49.544Z"},{"id":"doi:10.20944/preprints202310.0413.v1","name":"Enhancing Urban Air Mobility Integration in Cargo Transportation through Tiltrotor Technology<strong> </strong>","source":"europepmc","abstract":"The burgeoning field of Urban Air Mobility (UAM) promises transformative solutions to urban transportation challenges, with the potential to revolutionize cargo logistics in metropolitan areas. This research investigates the role of tiltrotor technology as a pivotal enabler of seamless UAM integration for efficient cargo transportation within urban environments. The study delves into the existing challenges within UAM, such as infrastructure limitations and the need for adaptable aerial vehicles that can navigate confined spaces while maintaining payload capacity. Tiltrotor Unmanned Aerial Vehicles (UAVs) are examined as a solution to these challenges due to their unique capabilities, combining vertical takeoff and landing (VTOL) with efficient forward flight. This research evaluates the potential of tiltrotor UAVs for urban cargo transportation, focusing on their operational efficiency, safety, and economic viability. Furthermore, the study explores the potential impact of tiltrotor technology on urban cargo logistics, considering factors such as reduced congestion, shorter delivery times, and environmentally sustainable operations. Real-world case studies and practical implementation strategies are discussed, shedding light on the importance of integration of tiltrotor UAVs into existing cargo transportation networks.The findings of this research underscore the transformative potential of tiltrotor technology in enhancing UAM for cargo transportation within urban areas. The study contributes valuable insights to the ongoing discourse on UAM integration and lays the groundwork for future developments in autonomous aerial cargo delivery systems.","url":"https://doi.org/10.20944/preprints202310.0413.v1","authors":["Saheed Adebimpe"],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2023","addedAt":"2026-08-06T22:48:46.008Z","doi":"10.20944/preprints202310.0413.v1","updatedAt":"2026-08-31T06:39:56.013Z"},{"id":"doi:10.3390/biomimetics9030125","name":"Multigene and Improved Anti-Collision RRT* Algorithms for Unmanned Aerial Vehicle Task Allocation and Route Planning in an Urban Air Mobility Scenario.","source":"europepmc","abstract":"Compared to terrestrial transportation systems, the expansion of urban traffic into airspace can not only mitigate traffic congestion, but also foster establish eco-friendly transportation networks. Additionally, unmanned aerial vehicle (UAV) task allocation and trajectory planning are essential research topics for an Urban Air Mobility (UAM) scenario. However, heterogeneous tasks, temporary flight restriction zones, physical buildings, and environment prerequisites put forward challenges for the research. In this paper, multigene and improved anti-collision RRT* (IAC-RRT*) algorithms are proposed to address the challenge of task allocation and path planning problems in UAM scenarios by tailoring the chance of crossover and mutation. It is proved that multigene and IAC-RRT* algorithms can effectively minimize energy consumption and tasks’ completion duration of UAVs. Simulation results demonstrate that the strategy of this work surpasses traditional optimization algorithms, i.e., RRT algorithm and gene algorithm, in terms of numerical stability and convergence speed.","url":"https://doi.org/10.3390/biomimetics9030125","authors":["Qiang Zhou","Houze Feng","Yueyang Liu"],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2024","addedAt":"2026-08-06T22:48:46.008Z","doi":"10.3390/biomimetics9030125","updatedAt":"2026-08-31T06:40:09.764Z"},{"id":"doi:10.3390/ijerph191811298","name":"Urban Air Mobility Noise: Further Considerations on Indoor Space.","source":"pubmed","abstract":"Various countries are preparing for the introduction of urban air mobility (UAM) vehicles, which move freely within the space above a city, as a new means of urban transportation. However, UAM vehicles present new forms of challenges to many urban residents. This study aims to propose newly sensory standards for the noise levels of UAM vehicles in urban indoor spaces based on two fundamental questions: (1) Would UAM vehicles not have a lower and wider impact on city residents than a commercial aircraft? (2) Should the flight of UAM vehicles not consider the sensory noise, like the conventional noise standard? UAM vehicles, unlike commercial aircrafts, will cause noise pollution in a broad area of the city. Therefore, expanded aircraft noise standards will be required. In addition, the hybridized noise generated by conventional vehicles in the ground and UAM vehicles in the air will affect urban residents. Furthermore, urban residents will be exposed to sensory noise from UAM vehicles, which fly directly above them but not within their line of sight. Therefore, the noise standards for UAM vehicles should include the sensory properties in addition to the physical properties in the existing noise standards.","url":"https://doi.org/10.3390/ijerph191811298","authors":["Kim J"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2022","addedAt":"2026-08-06T22:48:46.008Z","doi":"10.3390/ijerph191811298","updatedAt":"2026-08-31T06:39:47.153Z"},{"id":"doi:10.20944/preprints202211.0015.v1","name":"LightMAN: A Lightweight Microchained Fabric for Assurance and Resilience Oriented Urban Air Mobility Networks","source":"europepmc","abstract":"Rapid advancements in the fifth generation (5G) communication technology and mobile edge computing (MEC) paradigm lead to the proliferation of unmanned aerial vehicles (UAV) in urban air mobility (UAM) networks, which provide intelligent services for diversified smart city scenarios. Meanwhile, the widely deployed internet of drones (IoD) in smart cities also brings up new concerns on performance, security, and privacy. The centralized framework adopted by conventional UAM networks is not adequate to handle high mobility and dynamicity. Moreover, it is necessary to ensure device authentication, data integrity, and privacy preservation in UAM networks. Thanks to characteristics of decentralization, traceability, and unalterability, Blockchain is recognized as a promising technology to enhance security and privacy for UAM networks. In this paper, we introduce LightMAN, a lightweight microchained fabric for data assurance and resilience-oriented UAM networks. LightMAN is tailored for small-scale permissioned UAV networks, in which a microchain acts as a lightweight distributed ledger for security guarantees. Thus, participants are enabled to authenticate drones and verify the genuineness of data that is sent to/from drones without relying on a third-party agency. In addition, a hybrid on-chain and off-chain storage strategy is adopted that not only improves performance (e.g,.latency and throughput) but also ensures privacy preservation for sensitive information in UAM networks. A proof-of-concept prototype is implemented and tested on a Micro Air Vehicle Link (MAVLink) simulator. The experimental evaluation validates the feasibility and effectiveness of the proposed LightMAN solution.","url":"https://doi.org/10.20944/preprints202211.0015.v1","authors":["Ronghua Xu","Sixiao Wei","Yu Chen","Genshe Chen","Khanh Pham"],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2022","addedAt":"2026-08-06T22:48:46.008Z","doi":"10.20944/preprints202211.0015.v1","updatedAt":"2026-08-31T06:39:57.841Z"},{"id":"doi:10.3390/s22093226","name":"Ground Control System for UAS Safe Landing Area Determination (SLAD) in Urban Air Mobility Operations.","source":"pubmed","abstract":"The use of the Unmanned Aerial Vehicles (UAV) and Unmanned Aircraft System (UAS) for civil, scientific, and military operations, is constantly increasing, particularly in environments very dangerous or impossible for human actions. Many tasks are currently carried out in metropolitan areas, such as urban traffic monitoring, pollution and land monitoring, security surveillance, delivery of small packages, etc. Estimation of features around the flight path and surveillance of crowded areas, where there is a high number of vehicles and/or obstacles, are of extreme importance for typical UAS missions. Ensuring safety and efficiency during air traffic operations in a metropolitan area is one of the conditions for Urban Air Mobility (UAM) operations. This paper focuses on the development of a ground control system capable of monitoring crowded areas or impervious sites, identifying the UAV position and a safety area for vertical landing or take-off maneuvers (VTOL), ensuring a high level of accuracy and robustness, even without using GNSS-derived navigation information, and with on-board terrain hazard detection and avoidance (DAA) capabilities, in particular during operations conducted in BVLOS (Beyond Visual Line Of Sight). The system is composed by a mechanically rotating real-time LiDAR (Light Detection and Ranging) sensor, linked to a Raspberry Pi 3 as SBC (Session Board Controller), and interfaced to a GCS (Ground Control Station) by wireless connection for data management and 3-D information transfer.","url":"https://doi.org/10.3390/s22093226","authors":["Ariante G","Ponte S","Papa U","Greco A","Del Core G"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2022","addedAt":"2026-08-06T22:48:46.008Z","doi":"10.3390/s22093226","updatedAt":"2026-08-31T06:39:47.153Z"},{"id":"doi:10.1007/s13272-021-00514-w","name":"Business model options for passenger urban air mobility.","source":"pubmed","abstract":"While technological progress towards passenger urban air mobility (UAM) receives high attention, relevant business models for the deployment of these increasingly sophisticated passenger-carrying air vehicles for urban applications get less attention. However, especially in early market stages with high risks of investment and in respect to an often envisioned implementation of transport services in the proximity of urban settlements, it is important that the technology adds value to society. In this paper relevant perspectives to comprehend the current UAM business environment are presented. Possible operator models and customer segments are compiled and matched in three concrete business model approaches for passenger UAM. Scrutinising UAM Airport Shuttle Services shows that even concepts with sufficient demand might still not be adequate for a valid business case due to incomplete and a so far insufficient critical analysis of the overall operational environment. Second, a so far often unconsidered business model for a Company Shuttle Service is introduced, addressing the problem of scaling up UAM services with a dynamically expandable Business-to-Business (B2B) concept. Third, UAM will be discussed as part of public transport, introducing a business model that is inclusive and in strong line with public demands. Finally, these rather different implementation concepts unlock the space for an open-minded discussion on business models in the field of passenger UAM in general.","url":"https://doi.org/10.1007/s13272-021-00514-w","authors":["Straubinger A","Michelmann J","Biehle T"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2021","addedAt":"2026-08-06T22:48:46.008Z","doi":"10.1007/s13272-021-00514-w","updatedAt":"2026-08-31T06:39:47.153Z"},{"id":"doi:10.1016/j.apergo.2022.103843","name":"Urban air mobility infrastructure design: Using virtual reality to capture user experience within the world's first urban airport.","source":"pubmed","abstract":"Human factors research can play an important role in the successful design of infrastructure to support future mobility. Through engaging users and stakeholders early in the design process we can gain insights before the physical environments are built. This paper presents data from a truly novel application of Virtual Reality (VR), where user experience and wayfinding were evaluated within an emerging future transport infrastructure to support urban air mobility (UAM) - the urban airport (aka vertiports). Urban airports are located in city centres where drones or 'flying cars' would land and take off from. Previous quantitative studies have investigated passenger experience in traditional airports using field observation and surveys, but this paper is the first to present qualitative research on user experience in this emerging mobility infrastructure using an immersive VR environment. Twenty participants completed a series of six scenarios aimed at understanding customer 'exciters' and 'pain points' within an urban airport. Results and recommendations from this empirical research will help inform the design of all future mobility infrastructure solutions, through improving user experience before the infrastructure is physically deployed. Finally, this paper highlights the benefits of engaging users at an early stage of the design process to ensure that future transport infrastructure will be accessible, easy to navigate and a pleasure to use.","url":"https://doi.org/10.1016/j.apergo.2022.103843","authors":["Stewart Birrell","William Payre","Katie Zdanowicz","Paul Herriotts","Birrell S","Payre W","Zdanowicz K","Herriotts P"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2022","addedAt":"2026-08-06T22:48:46.008Z","doi":"10.1016/j.apergo.2022.103843","updatedAt":"2026-08-31T06:39:57.840Z"},{"id":"doi:10.3390/s19194209","name":"GNSS Performance Modelling and Augmentation for Urban Air Mobility.","source":"pubmed","abstract":"One of the primary challenges facing Urban Air Mobility (UAM) and the safe integration of Unmanned Aircraft Systems (UAS) in the urban airspace is the availability of robust, reliable navigation and Sense-and-Avoid (SAA) systems. Global Navigation Satellite Systems (GNSS) are typically the primary source of positioning for most air and ground vehicles and for a growing number of UAS applications; however, their performance is frequently inadequate in such challenging environments. This paper performs a comprehensive analysis of GNSS performance for UAS operations with a focus on failure modes in urban environments. Based on the analysis, a guidance strategy is developed which accounts for the influence of urban structures on GNSS performance. A simulation case study representative of UAS operations in urban environments is conducted to assess the validity of the proposed approach. Results show improved accuracy (approximately 25%) and availability when compared against a conventional minimum-distance guidance strategy.","url":"https://doi.org/10.3390/s19194209","authors":["Suraj Bijjahalli","Roberto Sabatini","Alessandro Gardi","Bijjahalli S","Sabatini R","Gardi A"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2019","addedAt":"2026-08-06T22:48:46.008Z","doi":"10.3390/s19194209","updatedAt":"2026-08-31T06:39:57.284Z"},{"id":"doi:10.1007/s13272-020-00468-5","name":"Long-term application potential of urban air mobility complementing public transport: an upper Bavaria example.","source":"pubmed","abstract":"In this paper, the required models and methods to analyze and quantify the potential demand for urban air mobility (UAM) complementing public transport and possible impacts were defined and applied to the Munich Metropolitan region. An existing agent-based transport model of the study area were used and extended to cover socio-demographic changes up to the year 2030 and intermodal UAM services. An incremental logit model for UAM was derived to simulate demand for this new mode. An airport access model was developed as well. Three different UAM networks with different numbers of vertiports were defined. Sensitivity studies of ticket fare and structure, flying vehicle cruise speed, passenger process times at vertiports and different Urban Air Mobility networks sizes were performed. For the reference case, UAM accounts for a modal share of 0.5%. The absolute UAM demand is concentrated on very short routes; hence, UAM vehicle flight speed variation shows low UAM demand impacts. Kilometer-based fare, number of UAM vehicles per vertiport and passenger process times at vertiports show a significant impact on UAM demand.","url":"https://doi.org/10.1007/s13272-020-00468-5","authors":["Ploetner KO","Al Haddad C","Antoniou C","Frank F","Fu M","Kabel S","Llorca C","Moeckel R","Moreno AT","Pukhova A","Rothfeld R","Shamiyeh M"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2020","addedAt":"2026-08-06T22:48:46.008Z","doi":"10.1007/s13272-020-00468-5","updatedAt":"2026-08-31T06:39:47.153Z"},{"id":"doi:10.21203/rs.3.rs-9921767/v1","name":"Electric Vehicle Adoption as a Pathway to Urban Air Quality Improvement and Road Safety Enhancement: Evidence from Emerging Economies","source":"europepmc","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-9921767/v1","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:46.008Z","doi":"10.21203/rs.3.rs-9921767/v1","updatedAt":"2026-08-31T06:39:52.485Z"},{"id":"doi:10.1016/j.socscimed.2026.119499","name":"The interplay between actual and perceived air pollution, physical activity, and stress across mobility-based geographic contexts: A double machine learning approach.","source":"europepmc","abstract":"","url":"https://doi.org/10.1016/j.socscimed.2026.119499","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:46.008Z","doi":"10.1016/j.socscimed.2026.119499","updatedAt":"2026-08-31T06:39:52.484Z"},{"id":"doi:10.1029/2025gh001621","name":"Modeling Patterns of Population Exposure With a Multiscale Framework Utilizing LOTOS-EUROS Chemical Transport Model, Mobility Surveys and Particulate Toxicity.","source":"europepmc","abstract":"","url":"https://doi.org/10.1029/2025gh001621","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:46.008Z","doi":"10.1029/2025gh001621","updatedAt":"2026-08-31T06:39:52.484Z"},{"id":"doi:10.21203/rs.3.rs-10194262/v1","name":"An air quality, meteorological and traffic spatio-temporal annotated data set","source":"europepmc","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-10194262/v1","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:46.008Z","doi":"10.21203/rs.3.rs-10194262/v1","updatedAt":"2026-08-31T06:39:52.485Z"},{"id":"doi:10.1109/tvcg.2026.3712668","name":"VISTA: Exploring Vertiport Site Selection with Visual Analytics.","source":"europepmc","abstract":"","url":"https://doi.org/10.1109/tvcg.2026.3712668","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:46.008Z","doi":"10.1109/tvcg.2026.3712668","updatedAt":"2026-08-31T06:39:52.484Z"},{"id":"doi:10.3390/s26123883","name":"A Multi-Source Sensor Dataset for Spain: Integrating Air Quality, Meteorological, Mobility and Calendar Records.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s26123883","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:46.008Z","doi":"10.3390/s26123883","updatedAt":"2026-08-31T06:39:57.841Z"},{"id":"doi:10.21203/rs.3.rs-9713570/v1","name":"Environmental Regulatory Disparities and the Spatial Reallocation of Factors: Evidence from China’s National Air Quality Monitoring Network","source":"europepmc","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-9713570/v1","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:46.008Z","doi":"10.21203/rs.3.rs-9713570/v1","updatedAt":"2026-08-31T06:39:52.485Z"},{"id":"doi:10.1016/j.jenvman.2026.130431","name":"Spatiotemporal response of urban bike-sharing ridership to weather, air quality, and future climate change in major U.S. cities.","source":"europepmc","abstract":"","url":"https://doi.org/10.1016/j.jenvman.2026.130431","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:46.008Z","doi":"10.1016/j.jenvman.2026.130431","updatedAt":"2026-08-31T06:39:52.484Z"},{"id":"doi:10.1016/j.jenvman.2026.130428","name":"Implications of electric mobility on health and environmental 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source.","source":"europepmc","abstract":"","url":"https://doi.org/10.1121/10.0042402","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:46.008Z","doi":"10.1121/10.0042402","updatedAt":"2026-08-31T06:39:52.484Z"},{"id":"doi:10.3389/fspor.2025.1662076","name":"Incorporating active commuting into daily life: a narrative review of e-bikes' impact on health and urban air quality.","source":"europepmc","abstract":"","url":"https://doi.org/10.3389/fspor.2025.1662076","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","addedAt":"2026-08-06T22:48:46.008Z","doi":"10.3389/fspor.2025.1662076","updatedAt":"2026-08-31T06:39:57.841Z"},{"id":"doi:10.1097/ee9.0000000000000482","name":"Community severance and mental health-related hospital visits in New York City.","source":"europepmc","abstract":"","url":"https://doi.org/10.1097/ee9.0000000000000482","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:46.008Z","doi":"10.1097/ee9.0000000000000482","updatedAt":"2026-08-31T06:39:57.841Z"},{"id":"doi:10.1038/s41370-025-00820-z","name":"Mobility-driven estimate reveals elevated air pollution exposure and socioeconomic disparities beyond residence-based approaches in Boston.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41370-025-00820-z","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:46.008Z","doi":"10.1038/s41370-025-00820-z","updatedAt":"2026-08-31T06:39:57.841Z"},{"id":"doi:10.20944/preprints202604.2097.v1","name":"CFD-Based Parametric Aeroacoustic Assessment of Multirotor Propeller Geometry for Drone Noise Reduction","source":"europepmc","abstract":"","url":"https://doi.org/10.20944/preprints202604.2097.v1","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:46.008Z","doi":"10.20944/preprints202604.2097.v1","updatedAt":"2026-08-31T06:39:52.485Z"},{"id":"doi:10.1016/j.isci.2026.115971","name":"A city-scale optimization framework for biomass-to-clean-energy transitions: The KAMPALA-TIMES model.","source":"europepmc","abstract":"","url":"https://doi.org/10.1016/j.isci.2026.115971","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:46.008Z","doi":"10.1016/j.isci.2026.115971","updatedAt":"2026-08-31T06:39:57.842Z"},{"id":"doi:10.3390/toxics14030197","name":"Phosphorus-Associated Viral Indicators Override pH as Predictors of Heavy Metal Mobility in Urban Storm Drain Sediments.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/toxics14030197","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:46.008Z","doi":"10.3390/toxics14030197","updatedAt":"2026-08-31T06:39:57.841Z"},{"id":"doi:10.1371/journal.pgph.0005382","name":"Real-time impacts of air pollution on the health, well-being, and daily life of children and young people in Delhi and Dhaka.","source":"europepmc","abstract":"","url":"https://doi.org/10.1371/journal.pgph.0005382","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:46.008Z","doi":"10.1371/journal.pgph.0005382","updatedAt":"2026-08-31T06:39:57.841Z"},{"id":"doi:10.21203/rs.3.rs-9453228/v1","name":"Adaptive spatial partitioning under the GeoSOT-3D global grid for efficient low-altitude environment modelling","source":"europepmc","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-9453228/v1","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:46.008Z","doi":"10.21203/rs.3.rs-9453228/v1","updatedAt":"2026-08-31T06:39:52.485Z"},{"id":"doi:10.3390/ijerph23040516","name":"Linking Children's Emotional Experiences of Space with Health-Oriented Urban Design: Towards School Streets in Belgrade.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/ijerph23040516","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:46.008Z","doi":"10.3390/ijerph23040516","updatedAt":"2026-08-31T06:39:57.842Z"},{"id":"doi:10.1177/21501319261447612","name":"Heat Vulnerability and Community Resilience: A Survey Analysis in Dallas, Texas.","source":"europepmc","abstract":"","url":"https://doi.org/10.1177/21501319261447612","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:46.008Z","doi":"10.1177/21501319261447612","updatedAt":"2026-08-31T06:39:57.841Z"},{"id":"arxiv:1812.10968v1","name":"Car Detection using Unmanned Aerial Vehicles: Comparison between Faster R-CNN and YOLOv3","source":"arxiv","abstract":"Unmanned Aerial Vehicles are increasingly being used in surveillance and traffic monitoring thanks to their high mobility and ability to cover areas at different altitudes and locations. One of the major challenges is to use aerial images to accurately detect cars and count them in real-time for traffic monitoring purposes. Several deep learning techniques were recently proposed based on convolution neural network (CNN) for real-time classification and recognition in computer vision. However, their performance depends on the scenarios where they are used. In this paper, we investigate the performance of two state-of-the-art CNN algorithms, namely Faster R-CNN and YOLOv3, in the context of car detection from aerial images. We trained and tested these two models on a large car dataset taken from UAVs. We demonstrated in this paper that YOLOv3 outperforms Faster R-CNN in sensitivity and processing time, although they are comparable in the precision metric.","url":"https://arxiv.org/abs/1812.10968v1","authors":["Bilel Benjdira","Taha Khursheed","Anis Koubaa","Adel Ammar","Kais Ouni"],"tags":["cs.RO","cs.CV","cs.LG"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2018-12-28T12:08:55Z","addedAt":"2026-08-06T22:48:46.160Z"},{"id":"arxiv:2510.00995v2","name":"ROSflight 2.0: Lean ROS 2-Based Autopilot for Unmanned Aerial Vehicles","source":"arxiv","abstract":"ROSflight is a lean, open-source autopilot ecosystem for unmanned aerial vehicles (UAVs). Designed by researchers for researchers, it is built to lower the barrier to entry to UAV research and accelerate the transition from simulation to hardware experiments by maintaining a lean (not full-featured), well-documented, and modular codebase. This publication builds on previous treatments and describes significant additions to the architecture that improve the modularity and usability of ROSflight, including the transition from ROS 1 to ROS 2, supported hardware, low-level actuator mixing, and the simulation environment. We believe that these changes improve the usability of ROSflight and enable ROSflight to accelerate research in areas like advanced-air mobility. Hardware results are provided, showing that ROSflight is able to control a multirotor over a serial connection at 400 Hz while closing all control loops on the companion computer.","url":"https://arxiv.org/abs/2510.00995v2","authors":["Jacob Moore","Phil Tokumaru","Ian Reid","Brandon Sutherland","Joseph Ritchie","Gabe Snow","Tim McLain"],"tags":["cs.RO","eess.SY"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2025-10-01T15:03:49Z","addedAt":"2026-08-06T22:48:46.161Z"},{"id":"arxiv:2009.04234v2","name":"Optimal Trajectory Planning for Cinematography with Multiple Unmanned Aerial Vehicles","source":"arxiv","abstract":"This paper presents a method for planning optimal trajectories with a team of Unmanned Aerial Vehicles (UAVs) performing autonomous cinematography. The method is able to plan trajectories online and in a distributed manner, providing coordination between the UAVs. We propose a novel non-linear formulation for this challenging problem of computing multi-UAV optimal trajectories for cinematography; integrating UAVs dynamics and collision avoidance constraints, together with cinematographic aspects like smoothness, gimbal mechanical limits and mutual camera visibility. We integrate our method within a hardware and software architecture for UAV cinematography that was previously developed within the framework of the MultiDrone project; and demonstrate its use with different types of shots filming a moving target outdoors. We provide extensive experimental results both in simulation and field experiments. We analyze the performance of the method and prove that it is able to compute online smooth trajectories, reducing jerky movements and complying with cinematography constraints.","url":"https://arxiv.org/abs/2009.04234v2","authors":["Alfonso Alcántara","Jesús Capitán","Rita Cunha","Aníbal Ollero"],"tags":["cs.RO"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2020-09-09T11:55:27Z","addedAt":"2026-08-06T22:48:46.161Z"},{"id":"arxiv:2202.09661v2","name":"Detection of Stealthy Adversaries for Networked Unmanned Aerial Vehicles*","source":"arxiv","abstract":"A network of unmanned aerial vehicles (UAVs) provides distributed coverage, reconfigurability, and maneuverability in performing complex cooperative tasks. However, it relies on wireless communications that can be susceptible to cyber adversaries and intrusions, disrupting the entire network's operation. This paper develops model-based centralized and decentralized observer techniques for detecting a class of stealthy intrusions, namely zero-dynamics and covert attacks, on networked UAVs in formation control settings. The centralized observer that runs in a control center leverages switching in the UAVs' communication topology for attack detection, and the decentralized observers, implemented onboard each UAV in the network, use the model of networked UAVs and locally available measurements. Experimental results are provided to show the effectiveness of the proposed detection schemes in different case studies.","url":"https://arxiv.org/abs/2202.09661v2","authors":["Rayan Bahrami","Hamidreza Jafarnejadsani"],"tags":["eess.SY","cs.RO"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2022-02-19T19:15:08Z","addedAt":"2026-08-06T22:48:46.161Z"},{"id":"arxiv:1805.03358v1","name":"A Collision-Free Path Planning Algorithm for Unmanned Aerial Vehicle Delivery","source":"arxiv","abstract":"Path planning is important for the autonomy of Unmanned Aerial Vehicle (UAV), especially for scheduling UAV delivery. However, the operating environment of UAVs is usually uncertain and dynamic. Without proper planning, collisions may happen where multiple UAVs are congested. Besides, there may also be temporary no-fly zone setup by authorities that makes airspace unusable. Thus, proper pre-departure planning that avoids such places is needed. In this paper, we formulate this problem into a Constraint Satisfaction Problem to find a collision-free shortest path on a dynamic graph. We propose a collision-free path planning algorithm that is based on A* algorithm. The main novelty is that we invent a heuristic function that also considers waiting time. We later show that, with added waiting penalty, the proposed algorithm is optimal because the heuristic is admissible. Implementation of this algorithm simulates UAV delivery using Singapore's airspace structure. Our simulation exhibits desirable runtime performance. Using the proposed algorithm, the percentage of collision-free routes decreases as number of requests per unit area increases, and this percentage drops significantly at boundary value. Our empirical analysis could aid the decision-making of no-fly zone policy and infrastructure of UAV delivery.","url":"https://arxiv.org/abs/1805.03358v1","authors":["Ziji Shi","Wee Keong Ng"],"tags":["eess.SY","cs.RO"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2018-05-09T03:07:14Z","addedAt":"2026-08-06T22:48:46.161Z"},{"id":"arxiv:2001.06066v1","name":"Tracking of Micro Unmanned Aerial Vehicles: A Comparative Study","source":"arxiv","abstract":"Micro unmanned aerial vehicles (mUAV) became very common in recent years. As a result of their widespread usage, when they are flown by hobbyists illegally, crucial risks are imposed and such mUAVs need to be sensed by security systems. Furthermore, the sensing of mUAVs are essential for also swarm robotics research where the individuals in a flock of robots require systems to sense and localize each other for coordinated operation. In order to obtain such systems, there are studies to detect mUAVs utilizing different sensing mediums, such as vision, infrared and sound signals, and small-scale radars. However, there are still challenges that awaits to be handled in this field such as integrating tracking approaches to the vision-based detection systems to enhance accuracy and computational complexity. For this reason, in this study, we combine various tracking approaches to a vision-based mUAV detection system available in the literature, in order to evaluate different tracking approaches in terms of accuracy and as well as investigate the effect of such integration to the computational cost.","url":"https://arxiv.org/abs/2001.06066v1","authors":["Fatih Gökçe"],"tags":["cs.CV","cs.RO"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2020-01-16T20:46:08Z","addedAt":"2026-08-06T22:48:46.161Z"},{"id":"arxiv:2309.01461v1","name":"Joint vehicle state and parameters estimation via Twin-in-the-Loop observers","source":"arxiv","abstract":"Vehicular control systems are required to be both extremely reliable and robust to different environmental conditions, e.g. load or tire-road friction. In this paper, we extend a new paradigm for state estimation, called Twin-in-the-Loop filtering (TiL-F), to the estimation of the unknown parameters describing the vehicle operating conditions. In such an approach, a digital-twin of the vehicle (usually already available to the car manufacturer) is employed on-board as a plant replica within a closed-loop scheme, and the observer gains are tuned purely from experimental data. The proposed approach is validated against experimental data, showing to significantly outperform the state-of-the-art solutions.","url":"https://arxiv.org/abs/2309.01461v1","authors":["Federico Dettù","Simone Formentin","Sergio Matteo Savaresi"],"tags":["eess.SY"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2023-09-04T09:14:25Z","addedAt":"2026-08-06T22:48:46.161Z"},{"id":"arxiv:2009.10492v1","name":"OpenREALM: Real-time Mapping for Unmanned Aerial Vehicles","source":"arxiv","abstract":"This paper presents OpenREALM, a real-time mapping framework for Unmanned Aerial Vehicles (UAVs). A camera attached to the onboard computer of a moving UAV is utilized to acquire high resolution image mosaics of a targeted area of interest. Different modes of operation allow OpenREALM to perform simple stitching assuming an approximate plane ground, or to fully recover complex 3D surface information to extract both elevation maps and geometrically corrected orthophotos. Additionally, the global position of the UAV is used to georeference the data. In all modes incremental progress of the resulting map can be viewed live by an operator on the ground. Obtained, up-to-date surface information will be a push forward to a variety of UAV applications. For the benefit of the community, source code is public at https://github.com/laxnpander/OpenREALM.","url":"https://arxiv.org/abs/2009.10492v1","authors":["Alexander Kern","Markus Bobbe","Yogesh Khedar","Ulf Bestmann"],"tags":["cs.CV"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2020-09-22T12:28:14Z","addedAt":"2026-08-06T22:48:46.161Z"},{"id":"arxiv:1911.06073v1","name":"Efficient ConvNet-based Object Detection for Unmanned Aerial Vehicles by Selective Tile Processing","source":"arxiv","abstract":"Many applications utilizing Unmanned Aerial Vehicles (UAVs) require the use of computer vision algorithms to analyze the information captured from their on-board camera. Recent advances in deep learning have made it possible to use single-shot Convolutional Neural Network (CNN) detection algorithms that process the input image to detect various objects of interest. To keep the computational demands low these neural networks typically operate on small image sizes which, however, makes it difficult to detect small objects. This is further emphasized when considering UAVs equipped with cameras where due to the viewing range, objects tend to appear relatively small. This paper therefore, explores the trade-offs involved when maintaining the resolution of the objects of interest by extracting smaller patches (tiles) from the larger input image and processing them using a neural network. Specifically, we introduce an attention mechanism to focus on detecting objects only in some of the tiles and a memory mechanism to keep track of information for tiles that are not processed. Through the analysis of different methods and experiments we show that by carefully selecting which tiles to process we can considerably improve the detection accuracy while maintaining comparable performance to CNNs that resize and process a single image which makes the proposed approach suitable for UAV applications.","url":"https://arxiv.org/abs/1911.06073v1","authors":["George Plastiras","Christos Kyrkou","Theocharis Theocharides"],"tags":["cs.CV"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2019-11-14T12:50:27Z","addedAt":"2026-08-06T22:48:46.161Z"},{"id":"arxiv:2303.04280v1","name":"Solving Vehicle Routing Problem for unmanned heterogeneous vehicle systems using Asynchronous Multi-Agent Architecture (A-teams)","source":"arxiv","abstract":"Fast moving but power hungry unmanned aerial vehicles (UAVs) can recharge on slow-moving unmanned ground vehicles (UGVs) to survey large areas in an effective and efficient manner. In order to solve this computationally challenging problem in a reasonable time, we created a two-level optimization heuristics. At the outer level, the UGV route is parameterized by few free parameters and at the inner level, the UAV route is solved by formulating and solving a vehicle routing problem with capacity constraints, time windows, and dropped visits. The UGV free parameters need to be optimized judiciously in order to create high quality solutions. We explore two methods for tuning the free UGV parameters: (1) a genetic algorithm, and (2) Asynchronous Multi-agent architecture (Ateams). The A-teams uses multiple agents to create, improve, and destroy solutions. The parallel asynchronous architecture enables A-teams to quickly optimize the parameters. Our results on test cases show that the A-teams produces similar solutions as genetic algorithm but with a speed up of 2-3 times.","url":"https://arxiv.org/abs/2303.04280v1","authors":["Subramanian Ramasamy","Md Safwan Mondal","Pranav A. Bhounsule"],"tags":["cs.RO","cs.DC","cs.MA"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2023-03-07T22:57:59Z","addedAt":"2026-08-06T22:48:46.161Z"},{"id":"arxiv:2210.15632v1","name":"Aerial Manipulation Using a Novel Unmanned Aerial Vehicle Cyber-Physical System","source":"arxiv","abstract":"Unmanned Aerial Vehicles(UAVs) are attaining more and more maneuverability and sensory ability as a promising teleoperation platform for intelligent interaction with the environments. This work presents a novel 5-degree-of-freedom (DoF) unmanned aerial vehicle (UAV) cyber-physical system for aerial manipulation. This UAV's body is capable of exerting powerful propulsion force in the longitudinal direction, decoupling the translational dynamics and the rotational dynamics on the longitudinal plane. A high-level impedance control law is proposed to drive the vehicle for trajectory tracking and interaction with the environments. In addition, a vision-based real-time target identification and tracking method integrating a YOLO v3 real-time object detector with feature tracking, and morphological operations is proposed to be implemented onboard the vehicle with support of model compression techniques to eliminate latency caused by video wireless transmission and heavy computation burden on traditional teleoperation platforms.","url":"https://arxiv.org/abs/2210.15632v1","authors":["Caiwu Ding","Hongwu Peng","Lu Lu","Caiwen Ding"],"tags":["cs.RO"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2022-10-27T17:21:26Z","addedAt":"2026-08-06T22:48:46.161Z"},{"id":"arxiv:1808.01940v1","name":"Accurate indoor mapping using an autonomous unmanned aerial vehicle (UAV)","source":"arxiv","abstract":"An autonomous indoor aerial vehicle requires reliable simul- taneous localization and mapping (SLAM), accurate flight control, and robust path planning for navigation. This paper presents a system level combination of these existing technologies for 2D navigation. An Unmanned aerial vehicle (UAV) called URSA (Unmanned Recon and Safety Aircraft) that can autonomously flight and mapping indoors environments with an accuracy of 2 cm was developed. Performance in indoor environments was assessed in terms of mapping and navigation precision.","url":"https://arxiv.org/abs/1808.01940v1","authors":["Lachlan Dowling","Tomas Poblete","Isaac Hook","Hao Tang","Ying Tan","Will Glenn","Ranjith R Unnithan"],"tags":["cs.RO","eess.IV"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2018-07-31T02:28:51Z","addedAt":"2026-08-06T22:48:46.161Z"},{"id":"arxiv:2102.10709v2","name":"Design, Integration and Sea Trials of 3D Printed Unmanned Aerial Vehicle and Unmanned Surface Vehicle for Cooperative Missions","source":"arxiv","abstract":"In recent years, Unmanned Surface Vehicles (USV) have been extensively deployed for maritime applications. However, USV has a limited detection range with sensor installed at the same elevation with the targets. In this research, we propose a cooperative Unmanned Aerial Vehicle - Unmanned Surface Vehicle (UAV-USV) platform to improve the detection range of USV. A floatable and waterproof UAV is designed and 3D printed, which allows it to land on the sea. A catamaran USV and landing platform are also developed. To land UAV on the USV precisely in various lighting conditions, IR beacon detector and IR beacon are implemented on the UAV and USV, respectively. Finally, a two-phase UAV precise landing method, USV control algorithm and USV path following algorithm are proposed and tested.","url":"https://arxiv.org/abs/2102.10709v2","authors":["Hanlin Niu","Ze Ji","Pietro Liguori","Hujun Yin","Joaquin Carrasco"],"tags":["cs.RO","eess.SY"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2021-02-21T23:10:26Z","addedAt":"2026-08-06T22:48:46.161Z"},{"id":"arxiv:2403.15410v1","name":"Secure and Energy-efficient Unmanned Aerial Vehicle-enabled Visible Light Communication via A Multi-objective Optimization Approach","source":"arxiv","abstract":"In this research, a unique approach to provide communication service for terrestrial receivers via using unmanned aerial vehicle-enabled visible light communication is investigated. Specifically, we take into account a unmanned aerial vehicle-enabled visible light communication scenario with multiplex transmitters, multiplex receivers, and a single eavesdropper, each of which is equipped with a single photodetector. Then, a unmanned aerial vehicle deployment multi-objective optimization problem is formulated to simultaneously make the optical power received by receiving surface more uniform, minimize the amount of information collected by a eavesdropper, and minimize the energy consumption of unmanned aerial vehicles, while the locations and transmission power of unmanned aerial vehicles are simultaneously optimized under certain constraints. Since the formulated unmanned aerial vehicle deployment multi-objective optimization problem is complex and nonlinear, it is challenging to be tackled by using conventional methods. For the purpose of solving the problem, a multi-objective evolutionary algorithm based on decomposition with chaos initiation and crossover mutation is proposed. Simulation outcomes show that the proposed approach is superior to other approaches, and is efficient at improving the security and energy efficiency of visible light communication system.","url":"https://arxiv.org/abs/2403.15410v1","authors":["Lingling Liu","Aimin Wang","Jing Wu","Jiao Lu","Jiahui Li","Geng Sun"],"tags":["eess.SP","eess.SY"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2024-03-03T18:04:32Z","addedAt":"2026-08-06T22:48:46.161Z"},{"id":"arxiv:1709.08517v1","name":"LADAR-Based Vehicle Tracking and Trajectory Estimation for Urban Driving","source":"arxiv","abstract":"Safe mobility for unmanned ground vehicles requires reliable detection of other vehicles, along with precise estimates of their locations and trajectories. Here we describe the algorithms and system we have developed for accurate trajectory estimation of nearby vehicles using an onboard scanning LADAR. We introduce a variable-axis Ackerman steering model and compare this to an independent steering model. Then for robust tracking we propose a multi-hypothesis tracker that combines these kinematic models to leverage the strengths of each. When trajectories estimated with our techniques are input into a planner, they enable an unmanned vehicle to negotiate traffic in urban environments. Results have been evaluated running in real time on a moving vehicle with a scanning LADAR.","url":"https://arxiv.org/abs/1709.08517v1","authors":["Daniel Morris","Paul Haley","William Zachar","Steve McLean"],"tags":["cs.RO"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2017-09-25T14:36:12Z","addedAt":"2026-08-06T22:48:46.161Z"},{"id":"arxiv:2102.13477v2","name":"B-ETS: A Trusted Blockchain-based Emissions Trading System for Vehicle-to-Vehicle Networks","source":"arxiv","abstract":"Urban areas are negatively impacted by Carbon Dioxide (CO2 ) and Nitrogen Oxide (NOx) emissions. In order to achieve a cost-effective reduction of greenhouse gas emissions and to combat climate change, the European Union (EU) introduced an Emissions Trading System (ETS) where organizations can buy or receive emission allowances as needed. The current ETS is a centralized one, consisting of a set of complex rules. It is currently administered at the organizational level and is used for fixed-point sources of pollution such as factories, power plants, and refineries. However, the current ETS cannot efficiently cope with vehicle mobility, even though vehicles are one of the primary sources of CO2 and NOx emissions. In this study, we propose a new distributed Blockchain-based emissions allowance trading system called B-ETS. This system enables transparent and trustworthy data exchange as well as trading of allowances among vehicles, relying on vehicle-to-vehicle communication. In addition, we introduce an economic incentive-based mechanism that appeals to individual drivers and leads them to modify their driving behavior in order to reduce emissions. The efficiency of the proposed system is studied through extensive simulations, showing how increased vehicle connectivity can lead to a reduction of the emissions generated from those vehicles. We demonstrate that our method can be used for full life-cycle monitoring and fuel economy reporting. This leads us to conjecture that the proposed system could lead to important behavioral changes among the drivers","url":"https://arxiv.org/abs/2102.13477v2","authors":["Lam Duc Nguyen","Amari N. Lewis","Israel Leyva-Mayorga","Amelia Regan","Petar Popovski"],"tags":["cs.MA","eess.SY"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2021-02-18T21:52:56Z","addedAt":"2026-08-06T22:48:46.161Z"},{"id":"arxiv:1702.07647v1","name":"Path Planning for Multiple Heterogeneous Unmanned Vehicles with Uncertain Service Times","source":"arxiv","abstract":"This article presents a framework and develops a formulation to solve a path planning problem for multiple heterogeneous Unmanned Vehicles (UVs) with uncertain service times for each vehicle--target pair. The vehicles incur a penalty proportional to the duration of their total service time in excess of a preset constant. The vehicles differ in their motion constraints and are located at distinct depots at the start of the mission. The vehicles may also be equipped with disparate sensors. The objective is to find a tour for each vehicle that starts and ends at its respective depot such that every target is visited and serviced by some vehicle while minimizing the sum of the total travel distance and the expected penalty incurred by all the vehicles. We formulate the problem as a two-stage stochastic program with recourse, present the theoretical properties of the formulation and advantages of using such a formulation, as opposed to a deterministic expected value formulation, to solve the problem. Extensive numerical simulations also corroborate the effectiveness of the proposed approach.","url":"https://arxiv.org/abs/1702.07647v1","authors":["Kaarthik Sundar","Saravanan Venkatachalam","Satyanarayana G. Manyam"],"tags":["cs.RO","math.OC"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2017-02-24T16:24:58Z","addedAt":"2026-08-06T22:48:46.161Z"},{"id":"arxiv:2111.09155v1","name":"Oil and Gas Pipeline Monitoring during COVID-19 Pandemic via Unmanned Aerial Vehicle","source":"arxiv","abstract":"The vast network of oil and gas transmission pipelines requires periodic monitoring for maintenance and hazard inspection to avoid equipment failure and potential accidents. The severe COVID-19 pandemic situation forced the companies to shrink the size of their teams. One risk which is faced on-site is represented by the uncontrolled release of flammable oil and gas. Among many inspection methods, the unmanned aerial vehicle system contains flexibility and stability. Unmanned aerial vehicles can transfer data in real-time, while they are doing their monitoring tasks. The current article focuses on unmanned aerial vehicles equipped with optical sensing and artificial intelligence, especially image recognition with deep learning techniques for pipeline surveillance. Unmanned aerial vehicles can be used for regular patrolling duties to identify and capture images and videos of the area of interest. Places that are hard to reach will be accessed faster, cheaper and with less risk. The current paper is based on the idea of capturing video and images of drone-based inspections, which can discover several potential hazardous problems before they become dangerous. Damage can emerge as a weakening of the cladding on the external pipe insulation. There can also be the case when the thickness of piping through external corrosion can occur. The paper describes a survey completed by experts from the oil and gas industry done for finding the functional and non-functional requirements of the proposed system.","url":"https://arxiv.org/abs/2111.09155v1","authors":["Myssar Jabbar Hammood Al-Battbootti","Iuliana Marin","Nicolae Goga","Ramona Popa"],"tags":["cs.CV","cs.CL","cs.CY"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2021-11-15T16:44:16Z","addedAt":"2026-08-06T22:48:46.161Z"},{"id":"arxiv:2303.01177v1","name":"Autonomous Aerial Filming With Distributed Lighting by a Team of Unmanned Aerial Vehicles","source":"arxiv","abstract":"This letter describes a method for autonomous aerial cinematography with distributed lighting by a team of unmanned aerial vehicles (UAVs). Although camera-carrying multi-rotor helicopters have become commonplace in cinematography, their usage is limited to scenarios with sufficient natural light or of lighting provided by static artificial lights. We propose to use a formation of unmanned aerial vehicles as a tool for filming a target under illumination from various directions, which is one of the fundamental techniques of traditional cinematography. We decompose the multi-UAV trajectory optimization problem to tackle non-linear cinematographic aspects and obstacle avoidance at separate stages, which allows us to re-plan in real time and react to changes in dynamic environments. The performance of our method has been evaluated in realistic simulation scenarios and field experiments, where we show how it increases the quality of the shots and that it is capable of planning safe trajectories even in cluttered environments.","url":"https://arxiv.org/abs/2303.01177v1","authors":["Vít Krátký","Alfonso Alcántara","Jesús Capitán","Petr Štěpán","Martin Saska","Aníbal Ollero"],"tags":["cs.RO"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2023-03-02T11:47:33Z","addedAt":"2026-08-06T22:48:46.161Z"},{"id":"arxiv:2212.11402v1","name":"Design Considerations of an Unmanned Aerial Vehicle for Aerial Filming","source":"arxiv","abstract":"Filming sport videos from an aerial view has always been a hard and an expensive task to achieve, especially in sports that require a wide open area for its normal development or the ones that put in danger human safety. Recently, a new solution arose for aerial filming based on the use of Unmanned Aerial Vehicles (UAVs), which is substantially cheaper than traditional aerial filming solutions that require conventional aircrafts like helicopters or complex structures for wide mobility. In this paper, we describe the design process followed for building a customized UAV suitable for sports aerial filming. The process includes the requirements definition, technical sizing and selection of mechanical, hardware and software technologies, as well as the whole integration and operation settings. One of the goals is to develop technologies allowing to build low cost UAVs and to manage them for a wide range of usage scenarios while achieving high levels of flexibility and automation. This work also shows some technical issues found during the development of the UAV as well as the solutions implemented.","url":"https://arxiv.org/abs/2212.11402v1","authors":["Dennis Casazola","Fabio Arnez","Huascar Espinoza"],"tags":["cs.RO"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2022-12-21T23:01:04Z","addedAt":"2026-08-06T22:48:46.161Z"},{"id":"arxiv:1304.0494v1","name":"Algorithms for Routing an Unmanned Aerial Vehicle in the presence of Refueling Depots","source":"arxiv","abstract":"We consider a single Unmanned Aerial Vehicle (UAV) routing problem where there are multiple depots and the vehicle is allowed to refuel at any depot. The objective of the problem is to find a path for the UAV such that each target is visited at least once by the vehicle, the fuel constraint is never violated along the path for the UAV, and the total fuel required by the UAV is a minimum. We develop an approximation algorithm for the problem, and propose fast construction and improvement heuristics to solve the same. Computational results show that solutions whose costs are on an average within 1.4% of the optimum can be obtained relatively fast for the problem involving 5 depots and 25 targets.","url":"https://arxiv.org/abs/1304.0494v1","authors":["Kaarthik Sundar","Sivakumar Rathinam"],"tags":["cs.DS"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2013-04-01T23:04:27Z","addedAt":"2026-08-06T22:48:46.161Z"},{"id":"arxiv:2206.01411v1","name":"One-shot Learning for Autonomous Aerial Manipulation","source":"arxiv","abstract":"This paper is concerned with learning transferable contact models for aerial manipulation tasks. We investigate a contact-based approach for enabling unmanned aerial vehicles with cable-suspended passive grippers to compute the attach points on novel payloads for aerial transportation. This is the first time that the problem of autonomously generating contact points for such tasks has been investigated. Our approach builds on the underpinning idea that we can learn a probability density of contacts over objects' surfaces from a single demonstration. We enhance this formulation for encoding aerial transportation tasks while maintaining the one-shot learning paradigm without handcrafting task-dependent features or employing ad-hoc heuristics; the only prior is extrapolated directly from a single demonstration. Our models only rely on the geometrical properties of the payloads computed from a point cloud, and they are robust to partial views. The effectiveness of our approach is evaluated in simulation, in which one or three quadropters are requested to transport previously unseen payloads along a desired trajectory. The contact points and the quadroptors configurations are computed on-the-fly for each test by our apporach and compared with a baseline method, a modified grasp learning algorithm from the literature. Empirical experiments show that the contacts generated by our approach yield a better controllability of the payload for a transportation task. We conclude this paper with a discussion on the strengths and limitations of the presented idea, and our suggested future research directions.","url":"https://arxiv.org/abs/2206.01411v1","authors":["Claudio Zito","Eliseo Ferrante"],"tags":["cs.RO","cs.AI"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2022-06-03T06:49:22Z","addedAt":"2026-08-06T22:48:46.161Z"},{"id":"arxiv:1809.00346v1","name":"A Real-time Control Approach for Unmanned Aerial Vehicles using Brain-computer Interface","source":"arxiv","abstract":"Brain-computer interfacing (BCI) is a technology that is almost four decades old and it was developed solely for the purpose of developing and enhancing the impact of neuroprosthetics. However, in the recent times, with the commercialization of non-invasive electroencephalogram (EEG) headsets, the technology has seen a wide variety of applications like home automation, wheelchair control, vehicle steering etc. One of the latest developed applications is the mind-controlled quadrotor unmanned aerial vehicle. These applications, how- ever, do not require a very high-speed response and give satisfactory results when standard classification methods like Support Vector Machine (SVM) and Multi-Layer Perceptron (MLPC). Issues are faced when there is a requirement for high-speed control in the case of fixed-wing unmanned aerial vehicles where such methods are rendered unreliable due to the low speed of classification. Such an application requires the system to classify data at high speeds in order to retain the con- trollability of the vehicle. This paper proposes a novel method of classification which uses a combination of Common Spatial Paradigm and Linear Discriminant Analysis that provides an improved classification accuracy in real time. A non-linear SVM based classification technique has also been discussed. Further, this paper discusses the implementation of the proposed method on a fixed-wing and VTOL unmanned aerial vehicles.","url":"https://arxiv.org/abs/1809.00346v1","authors":["Ravi M. Vishwanath","Saumya Kumaar","S N Omkar"],"tags":["cs.RO","cs.HC"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2018-09-02T14:29:43Z","addedAt":"2026-08-06T22:48:46.161Z"},{"id":"arxiv:1612.06100v2","name":"Optimal Rendezvous Trajectory for Unmanned Aerial-Ground Vehicles","source":"arxiv","abstract":"Fixed-wind unmanned aerial vehicles (UAVs) are essential for low cost aerial surveillance and mapping applications in remote regions. One of the main limitations of UAVs is limited fuel capacity and hence requires periodic refueling to accomplish a mission. The usual mechanism of commanding the UAV to return to a stationary base station for refueling can result in fuel wastage and inefficient mission operation time. Alternatively, unmanned gound vehicle (UGV) can be used as a mobile refueling unit where the UAV will rendezvous with the UGV for refueling. In order to accurately perform this task in the presence of wind disturbances, we need to determine an optimal trajectory in 3D taking UAV and UGV dynamics and kinematics into account. In this paper, we propose an optimal control formulation to generate a tunable UAV trajectory for rendezvous on a moving UGV taking wind disturbances into account. By a suitable choice of the value of an aggressiveness index in our problem setting, we are able to control the UAV rendezvous behavior. Several numerical results are presented to show the reliability and effectiveness of our approach.","url":"https://arxiv.org/abs/1612.06100v2","authors":["Alessandro Rucco","PB Sujit","Pedro Aguiar","Joao Sousa","Fernando Pereira"],"tags":["math.OC"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2016-12-19T10:08:41Z","addedAt":"2026-08-06T22:48:46.161Z"},{"id":"arxiv:1710.02932v1","name":"Visual Servoing of Unmanned Surface Vehicle from Small Tethered Unmanned Aerial Vehicle","source":"arxiv","abstract":"This paper presents an algorithm and the implementation of a motor schema to aid the visual localization subsystem of the ongoing EMILY project at Texas A and M University. The EMILY project aims to team an Unmanned Surface Vehicle (USV) with an Unmanned Aerial Vehicle (UAV) to augment the search and rescue of marine casualties during an emergency response phase. The USV is designed to serve as a flotation device once it reaches the victims. A live video feed from the UAV is provided to the casuality responders giving them a visual estimate of the USVs orientation and position to help with its navigation. One of the challenges involved with casualty response using a USV UAV team is to simultaneously control the USV and track it. In this paper, we present an implemented solution to automate the UAV camera movements to keep the USV in view at all times. The motor schema proposed, uses the USVs coordinates from the visual localization subsystem to control the UAVs camera movements and track the USV with minimal camera movements such that the USV is always in the cameras field of view.","url":"https://arxiv.org/abs/1710.02932v1","authors":["Haresh Karnan","Aritra Biswas","Pranav Vaidik Dhulipala","Jan Dufek","Robin Murphy"],"tags":["cs.CV","cs.RO"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2017-10-09T04:14:05Z","addedAt":"2026-08-06T22:48:46.161Z"},{"id":"arxiv:2409.03245v1","name":"UAV (Unmanned Aerial Vehicles): Diverse Applications of UAV Datasets in Segmentation, Classification, Detection, and Tracking","source":"arxiv","abstract":"Unmanned Aerial Vehicles (UAVs), have greatly revolutionized the process of gathering and analyzing data in diverse research domains, providing unmatched adaptability and effectiveness. This paper presents a thorough examination of Unmanned Aerial Vehicle (UAV) datasets, emphasizing their wide range of applications and progress. UAV datasets consist of various types of data, such as satellite imagery, images captured by drones, and videos. These datasets can be categorized as either unimodal or multimodal, offering a wide range of detailed and comprehensive information. These datasets play a crucial role in disaster damage assessment, aerial surveillance, object recognition, and tracking. They facilitate the development of sophisticated models for tasks like semantic segmentation, pose estimation, vehicle re-identification, and gesture recognition. By leveraging UAV datasets, researchers can significantly enhance the capabilities of computer vision models, thereby advancing technology and improving our understanding of complex, dynamic environments from an aerial perspective. This review aims to encapsulate the multifaceted utility of UAV datasets, emphasizing their pivotal role in driving innovation and practical applications in multiple domains.","url":"https://arxiv.org/abs/2409.03245v1","authors":["Md. Mahfuzur Rahman","Sunzida Siddique","Marufa Kamal","Rakib Hossain Rifat","Kishor Datta Gupta"],"tags":["cs.CV"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2024-09-05T04:47:36Z","addedAt":"2026-08-06T22:48:46.161Z"},{"id":"arxiv:1907.01176v1","name":"Multi-Cue Vehicle Detection for Semantic Video Compression In Georegistered Aerial Videos","source":"arxiv","abstract":"Detection of moving objects such as vehicles in videos acquired from an airborne camera is very useful for video analytics applications. Using fast low power algorithms for onboard moving object detection would also provide region of interest-based semantic information for scene content aware image compression. This would enable more efficient and flexible communication link utilization in lowbandwidth airborne cloud computing networks. Despite recent advances in both UAV or drone platforms and imaging sensor technologies, vehicle detection from aerial video remains challenging due to small object sizes, platform motion and camera jitter, obscurations, scene complexity and degraded imaging conditions. This paper proposes an efficient moving vehicle detection pipeline which synergistically fuses both appearance and motion-based detections in a complementary manner using deep learning combined with flux tensor spatio-temporal filtering. Our proposed multi-cue pipeline is able to detect moving vehicles with high precision and recall, while filtering out false positives such as parked vehicles, through intelligent fusion. Experimental results show that incorporating contextual information of moving vehicles enables high semantic compression ratios of over 100:1 with high image fidelity, for better utilization of limited bandwidth air-to-ground network links.","url":"https://arxiv.org/abs/1907.01176v1","authors":["Noor Al-Shakarji","Filiz Bunyak","Hadi Aliakbarpour","Guna Seetharaman","Kannappan Palaniappan"],"tags":["cs.CV"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2019-07-02T05:40:02Z","addedAt":"2026-08-06T22:48:46.161Z"},{"id":"arxiv:1806.08331v1","name":"Monocular Trail Detection and Tracking Aided by Visual SLAM for Small Unmanned Aerial Vehicles","source":"arxiv","abstract":"This paper presents a monocular vision system susceptible of being installed in unmanned small and medium-sized aerial vehicles built to perform missions in forest environments (e.g., search and rescue). The proposed system extends a previous monocular-based technique for trail detection and tracking so as to take into account volumetric data acquired from a Visual SLAM algorithm and, as a result, to increase its sturdiness upon challenging trails. The experimental results, obtained via a set of 12 videos recorded with a camera installed in a tele-operated, unmanned small-sized aerial vehicle, show the ability of the proposed system to overcome some of the difficulties of the original detector, attaining a success rate of $97.8\\,\\%$.","url":"https://arxiv.org/abs/1806.08331v1","authors":["André Silva","Ricardo Mendonça","Pedro Santana"],"tags":["cs.RO"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2018-06-21T17:20:27Z","addedAt":"2026-08-06T22:48:46.161Z"},{"id":"arxiv:1604.02485v1","name":"Machine Learning for Visual Navigation of Unmanned Ground Vehicles","source":"arxiv","abstract":"The use of visual information for the navigation of unmanned ground vehicles in a cross-country environment recently received great attention. However, until now, the use of textural information has been somewhat less effective than color or laser range information. This manuscript reviews the recent achievements in cross-country scene segmentation and addresses their shortcomings. It then describes a problem related to classification of high dimensional texture features. Finally, it compares three machine learning algorithms aimed at resolving this problem. The experimental results for each machine learning algorithm with the discussion of comparisons are given at the end of the manuscript.","url":"https://arxiv.org/abs/1604.02485v1","authors":["Artem A. Lenskiy","Jong-Soo Lee"],"tags":["cs.CV"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2016-04-08T21:04:36Z","addedAt":"2026-08-06T22:48:46.161Z"},{"id":"arxiv:1803.05763v3","name":"Unmanned Aerial Vehicle Assisted Cellular Communication","source":"arxiv","abstract":"In this paper, we consider unmanned aerial vehicles (UAVs) assisted cellular communication system, where UAVs can be used as amplify-and-forward (AF) relays. The effective channel with UAV assisted communication can be modeled as a Rayleigh product-channel, and we derive a tight lower-bound of the ergodic capacity in closed-form. With the obtained lower-bound, trade-offs between the transmit power and the equipped number of antennas of the UAVs can be analyzed. Alternatively, for a giving setting of users and the base-transceiver station (BTS), the needed transmit power and number of antennas for the UAVs can be derived in order to have a higher ergodic capacity with the UAV assisted communication than that without it.","url":"https://arxiv.org/abs/1803.05763v3","authors":["Sha Hu","Jose Flordelis","Fredrik Rusek","Ove Edfors"],"tags":["cs.IT"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2018-03-15T14:12:11Z","addedAt":"2026-08-06T22:48:46.161Z"},{"id":"arxiv:2012.04902v1","name":"Generative Data Augmentation for Vehicle Detection in Aerial Images","source":"arxiv","abstract":"Scarcity of training data is one of the prominent problems for deep networks which require large amounts data. Data augmentation is a widely used method to increase the number of training samples and their variations. In this paper, we focus on improving vehicle detection performance in aerial images and propose a generative augmentation method which does not need any extra supervision than the bounding box annotations of the vehicle objects in the training dataset. The proposed method increases the performance of vehicle detection by allowing detectors to be trained with higher number of instances, especially when there are limited number of training instances. The proposed method is generic in the sense that it can be integrated with different generators. The experiments show that the method increases the Average Precision by up to 25.2% and 25.7% when integrated with Pluralistic and DeepFill respectively.","url":"https://arxiv.org/abs/2012.04902v1","authors":["Hilmi Kumdakcı","Cihan Öngün","Alptekin Temizel"],"tags":["cs.CV","cs.LG","eess.IV"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2020-12-09T08:03:40Z","addedAt":"2026-08-06T22:48:46.161Z"},{"id":"arxiv:2303.02112v1","name":"Stealthy Perception-based Attacks on Unmanned Aerial Vehicles","source":"arxiv","abstract":"In this work, we study vulnerability of unmanned aerial vehicles (UAVs) to stealthy attacks on perception-based control. To guide our analysis, we consider two specific missions: ($i$) ground vehicle tracking (GVT), and ($ii$) vertical take-off and landing (VTOL) of a quadcopter on a moving ground vehicle. Specifically, we introduce a method to consistently attack both the sensors measurements and camera images over time, in order to cause control performance degradation (e.g., by failing the mission) while remaining stealthy (i.e., undetected by the deployed anomaly detector). Unlike existing attacks that mainly rely on vulnerability of deep neural networks to small input perturbations (e.g., by adding small patches and/or noise to the images), we show that stealthy yet effective attacks can be designed by changing images of the ground vehicle's landing markers as well as suitably falsifying sensing data. We illustrate the effectiveness of our attacks in Gazebo 3D robotics simulator.","url":"https://arxiv.org/abs/2303.02112v1","authors":["Amir Khazraei","Haocheng Meng","Miroslav Pajic"],"tags":["cs.RO","eess.SY"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2023-03-03T17:53:59Z","addedAt":"2026-08-06T22:48:46.161Z"},{"id":"arxiv:2307.14038v1","name":"Research on Inertial Navigation Technology of Unmanned Aerial Vehicles with Integrated Reinforcement Learning Algorithm","source":"arxiv","abstract":"We first define appropriate state representation and action space, and then design an adjustment mechanism based on the actions selected by the intelligent agent. The adjustment mechanism outputs the next state and reward value of the agent. Additionally, the adjustment mechanism calculates the error between the adjusted state and the unadjusted state. Furthermore, the intelligent agent stores the acquired experience samples containing states and reward values in a buffer and replays the experiences during each iteration to learn the dynamic characteristics of the environment. We name the improved algorithm as the DQM algorithm. Experimental results demonstrate that the intelligent agent using our proposed algorithm effectively reduces the accumulated errors of inertial navigation in dynamic environments. Although our research provides a basis for achieving autonomous navigation of unmanned aerial vehicles, there is still room for significant optimization. Further research can include testing unmanned aerial vehicles in simulated environments, testing unmanned aerial vehicles in real-world environments, optimizing the design of reward functions, improving the algorithm workflow to enhance convergence speed and performance, and enhancing the algorithm's generalization ability.","url":"https://arxiv.org/abs/2307.14038v1","authors":["Longcheng Guo"],"tags":["cs.RO"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2023-07-26T08:41:22Z","addedAt":"2026-08-06T22:48:46.161Z"},{"id":"arxiv:1806.09844v2","name":"Performance Analysis for Multi-layer Unmanned Aerial Vehicle Networks","source":"arxiv","abstract":"In this paper, we provide the model of the multilayer aerial network (MAN), composed unmanned aerial vehicles (UAVs) that distributed in Poisson point process (PPP) with different densities, heights, and transmission power. In our model, we consider the line of sight (LoS) and non-line of sight (NLoS) channels which is probabilistically formed. We firstly derive the probability distribution function (PDF) of the main link distance and the Laplace transform of interference of MAN considering strongest average received power-based association. We then analyze the successful transmission probability (STP) of the MAN and provide the upper bound of the optimal density that maximizes the STP of the MAN. Through the numerical results, we show the existence of the optimal height of UAV due to a performance tradeoff caused by the height of the aerial network (AN), and also show the upper bounds of the optimal densities in terms of the STP, which decrease with the height of the ANs.","url":"https://arxiv.org/abs/1806.09844v2","authors":["Dongsun Kim","Jemin Lee","Tony Q. S. Quek"],"tags":["eess.SP"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2018-06-26T08:47:31Z","addedAt":"2026-08-06T22:48:46.161Z"},{"id":"arxiv:2206.03987v1","name":"Constrained Imitation Learning for a Flapping Wing Unmanned Aerial Vehicle","source":"arxiv","abstract":"This paper presents a data-driven optimal control policy for a micro flapping wing unmanned aerial vehicle. First, a set of optimal trajectories are computed off-line based on a geometric formulation of dynamics that captures the nonlinear coupling between the large angle flapping motion and the quasi-steady aerodynamics. Then, it is transformed into a feedback control system according to the framework of imitation learning. In particular, an additional constraint is incorporated through the learning process to enhance the stability properties of the resulting controlled dynamics. Compared with conventional methods, the proposed constrained imitation learning eliminates the need to generate additional optimal trajectories on-line, without sacrificing stability. As such, the computational efficiency is substantially improved. Furthermore, this establishes the first nonlinear control system that stabilizes the coupled longitudinal and lateral dynamics of flapping wing aerial vehicle without relying on averaging or linearization. These are illustrated by numerical examples for a simulated model inspired by Monarch butterflies.","url":"https://arxiv.org/abs/2206.03987v1","authors":["Tejaswi K. C.","Taeyoung Lee"],"tags":["cs.RO","eess.SY"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2022-06-08T16:06:44Z","addedAt":"2026-08-06T22:48:46.161Z"},{"id":"arxiv:2009.04215v1","name":"Unmanned Aerial Vehicle Control Through Domain-based Automatic Speech Recognition","source":"arxiv","abstract":"Currently, unmanned aerial vehicles, such as drones, are becoming a part of our lives and reaching out to many areas of society, including the industrialized world. A common alternative to control the movements and actions of the drone is through unwired tactile interfaces, for which different remote control devices can be found. However, control through such devices is not a natural, human-like communication interface, which sometimes is difficult to master for some users. In this work, we present a domain-based speech recognition architecture to effectively control an unmanned aerial vehicle such as a drone. The drone control is performed using a more natural, human-like way to communicate the instructions. Moreover, we implement an algorithm for command interpretation using both Spanish and English languages, as well as to control the movements of the drone in a simulated domestic environment. The conducted experiments involve participants giving voice commands to the drone in both languages in order to compare the effectiveness of each of them, considering the mother tongue of the participants in the experiment. Additionally, different levels of distortion have been applied to the voice commands in order to test the proposed approach when facing noisy input signals. The obtained results show that the unmanned aerial vehicle is capable of interpreting user voice instructions achieving an improvement in speech-to-action recognition for both languages when using phoneme matching in comparison to only using the cloud-based algorithm without domain-based instructions. Using raw audio inputs, the cloud-based approach achieves 74.81% and 97.04% accuracy for English and Spanish instructions respectively, whereas using our phoneme matching approach the results are improved achieving 93.33% and 100.00% accuracy for English and Spanish languages.","url":"https://arxiv.org/abs/2009.04215v1","authors":["Ruben Contreras","Angel Ayala","Francisco Cruz"],"tags":["cs.RO","cs.AI"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2020-09-09T11:17:45Z","addedAt":"2026-08-06T22:48:46.161Z"},{"id":"arxiv:2305.12021v3","name":"A Secure and Robust Approach for Distance-Based Mutual Positioning of Unmanned Aerial Vehicles","source":"arxiv","abstract":"Unmanned aerial vehicle (UAV) is becoming increasingly important in modern civilian and military applications. However, its novel use cases is bottlenecked by conventional satellite and terrestrial localization technologies, and calling for complementary solutions. Multi-UAV mutual positioning can be a potential answer, but its accuracy and security are challenged by inaccurate and/or malicious measurements. This paper proposes a novel, robust, and secure approach to address these issues.","url":"https://arxiv.org/abs/2305.12021v3","authors":["Bin Han","Hans D. Schotten"],"tags":["eess.SP","cs.MA"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2023-05-19T22:24:32Z","addedAt":"2026-08-06T22:48:46.161Z"},{"id":"arxiv:1508.07723v1","name":"A survey on unmanned aerial vehicle collision avoidance systems","source":"arxiv","abstract":"Collision avoidance is a key factor in enabling the integration of unmanned aerial vehicle into real life use, whether it is in military or civil application. For a long time there have been a large number of works to address this problem; therefore a comparative summary of them would be desirable. This paper presents a survey on the major collision avoidance systems developed in up to date publications. Each collision avoidance system contains two main parts: sensing and detection, and collision avoidance. Based on their characteristics each part is divided into different categories; and those categories are explained, compared and discussed about advantages and disadvantages in this paper.","url":"https://arxiv.org/abs/1508.07723v1","authors":["Hung Pham","Scott A. Smolka","Scott D. Stoller","Dung Phan","Junxing Yang"],"tags":["eess.SY","cs.RO"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2015-08-31T08:57:22Z","addedAt":"2026-08-06T22:48:46.161Z"},{"id":"arxiv:2104.00964v1","name":"Minimum-Length Point-to-Line Path Planning for Unmanned Aerial Vehicles","source":"arxiv","abstract":"This paper presents a method of finding the shortest path for an unmanned aerial vehicle (UAV) flying from an initial point to a target line at a constant altitude. The length of a Dubins path is derived as a function of the final position on the line and then differentiated to obtain its extreme value. The primary contribution of the study is a simple analytical solution to determine the minimum-length Dubins path from an initial position to a target line with initial and final orientations given. The proposed method is demonstrated with numerical examples.","url":"https://arxiv.org/abs/2104.00964v1","authors":["Dongsin Kim","Keumjin Lee"],"tags":["math.OC"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2021-04-02T10:08:54Z","addedAt":"2026-08-06T22:48:46.161Z"},{"id":"arxiv:2012.09347v1","name":"Securing Communications with Friendly Unmanned Aerial Vehicle Jammers","source":"arxiv","abstract":"In this paper, we analyze the impact of a friendly unmanned aerial vehicle (UAV) jammer on UAV communications in the presence of multiple eavesdroppers. We first present channel components determined by the line-of-sight (LoS) probability between the friendly UAV jammer and the ground device, and introduce different channel fadings for LoS and non-line-of-sight (NLoS) links. We then derive the secrecy transmission probability satisfying both constraints of legitimate and wiretap channels. We also analyze the secrecy transmission probability in the presence of randomly distributed multiple friendly UAV jammers. Finally, we show the existence of the optimal UAV jammer location, and the impact of the density of eavesdroppers, the transmission power of the UAV jammer, and the density of UAV jammers on the optimal location.","url":"https://arxiv.org/abs/2012.09347v1","authors":["Minsu Kim","Seongjun Kim","Jemin Lee"],"tags":["eess.SP"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2020-12-17T01:23:16Z","addedAt":"2026-08-06T22:48:46.161Z"},{"id":"arxiv:1910.10523v1","name":"Mobile Edge Computing in Unmanned Aerial Vehicle Networks","source":"arxiv","abstract":"Unmanned aerial vehicle (UAV)-enabled communication networks are promising in the fifth and beyond wireless communication systems. In this paper, we shed light on three UAV-enabled mobile edge computing (MEC) architectures. Those architectures have been receiving ever increasing research attention for improving computation performance and decreasing execution latency by integrating UAV into MEC networks. We present a comprehensive survey for the state-of-the-art research in this domain. Important implementation issues are clarified. Moreover, in order to provide an enlightening guidance for future research directions, key challenges and open issues are discussed.","url":"https://arxiv.org/abs/1910.10523v1","authors":["Fuhui Zhou","Rose Qingyang Hu","Zan Li","Yuhao Wang"],"tags":["eess.SP","cs.GT"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2019-10-12T05:32:30Z","addedAt":"2026-08-06T22:48:46.161Z"},{"id":"arxiv:1704.00079v3","name":"Algorithms for Routing of Unmanned Aerial Vehicles with Mobile Recharging Stations","source":"arxiv","abstract":"We study the problem of planning a tour for an energy-limited Unmanned Aerial Vehicle (UAV) to visit a set of sites in the least amount of time. We envision scenarios where the UAV can be recharged along the way either by landing on stationary recharging stations or on Unmanned Ground Vehicles (UGVs) acting as mobile recharging stations. This leads to a new variant of the Traveling Salesperson Problem (TSP) with mobile recharging stations. We present an algorithm that finds not only the order in which to visit the sites but also when and where to land on the charging stations to recharge. Our algorithm plans tours for the UGVs as well as determines best locations to place stationary charging stations. While the problems we study are NP-Hard, we present a practical solution using Generalized TSP that finds the optimal solution. If the UGVs are slower, the algorithm also finds the minimum number of UGVs required to support the UAV mission such that the UAV is not required to wait for the UGV. Our simulation results show that the running time is acceptable for reasonably sized instances in practice.","url":"https://arxiv.org/abs/1704.00079v3","authors":["Kevin Yu","Ashish Kumar Budhiraja","Pratap Tokekar"],"tags":["cs.RO","cs.MA"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2017-03-31T22:46:26Z","addedAt":"2026-08-06T22:48:46.161Z"},{"id":"arxiv:1906.01532v1","name":"Closed-Loop Control of a Delta-Wing Unmanned Aerial-Aquatic Vehicle","source":"arxiv","abstract":"We present a closed-loop control strategy for a delta-wing unmanned aerial aquatic-vehicle (UAAV) that enables autonomous swim, fly, and water-to-air transition. Our control system consists of a hybrid state estimator and a closed-loop feedback policy which is capable of trajectory following through the water, air and transition domains. To test our estimator and control approach in hardware, we instrument the vehicle with a minimalistic set of commercial off-the-shelf sensors. Finally, we demonstrate a successful autonomous water-to-air transition with our prototype UAAV system and discuss the implications of these results with regards to robustness.","url":"https://arxiv.org/abs/1906.01532v1","authors":["Joseph Moore"],"tags":["cs.RO"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2019-06-04T15:43:42Z","addedAt":"2026-08-06T22:48:46.161Z"},{"id":"arxiv:2009.04630v1","name":"A Minimum Energy Filter for Localisation of an Unmanned Aerial Vehicle","source":"arxiv","abstract":"Accurate localisation of unmanned aerial vehicles is vital for the next generation of automation tasks. This paper proposes a minimum energy filter for velocity-aided pose estimation on the extended special Euclidean group. The approach taken exploits the Lie-group symmetry of the problem to combine Inertial Measurement Unit (IMU) sensor output with landmark measurements into a robust and high performance state estimate. We propose an asynchronous discrete-time implementation to fuse high bandwidth IMU with low bandwidth discrete-time landmark measurements typical of real-world scenarios. The filter's performance is demonstrated by simulation.","url":"https://arxiv.org/abs/2009.04630v1","authors":["Jack Henderson","Mohammad Zamani","Robert Mahony","Jochen Trumpf"],"tags":["eess.SY","cs.RO"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2020-09-10T01:50:57Z","addedAt":"2026-08-06T22:48:46.161Z"},{"id":"arxiv:2108.09986v1","name":"Indoor Path Planning for an Unmanned Aerial Vehicle via Curriculum Learning","source":"arxiv","abstract":"In this study, reinforcement learning was applied to learning two-dimensional path planning including obstacle avoidance by unmanned aerial vehicle (UAV) in an indoor environment. The task assigned to the UAV was to reach the goal position in the shortest amount of time without colliding with any obstacles. Reinforcement learning was performed in a virtual environment created using Gazebo, a virtual environment simulator, to reduce the learning time and cost. Curriculum learning, which consists of two stages was performed for more efficient learning. As a result of learning with two reward models, the maximum goal rates achieved were 71.2% and 88.0%.","url":"https://arxiv.org/abs/2108.09986v1","authors":["Jongmin Park","Sooyoung Jang","Younghoon Shin"],"tags":["cs.RO"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2021-08-23T07:41:10Z","addedAt":"2026-08-06T22:48:46.161Z"},{"id":"arxiv:1712.04353v1","name":"Automated Cinematography with Unmanned Aerial Vehicles","source":"arxiv","abstract":"The rise of Unmanned Aerial Vehicles and their increasing use in the cinema industry calls for the creation of dedicated tools. Though there is a range of techniques to automatically control drones for a variety of applications, none have considered the problem of producing cinematographic camera motion in real-time for shooting purposes. In this paper we present our approach to UAV navigation for autonomous cinematography. The contributions of this research are twofold: (i) we adapt virtual camera control techniques to UAV navigation; (ii) we introduce a drone-independent platform for high-level user interactions that integrates cinematographic knowledge. The results presented in this paper demonstrate the capacities of our tool to capture live movie scenes involving one or two moving actors.","url":"https://arxiv.org/abs/1712.04353v1","authors":["Quentin Galvane","Julien Fleureau","Francois-Louis Tariolle","Philippe Guillotel"],"tags":["cs.RO"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2017-12-12T15:29:27Z","addedAt":"2026-08-06T22:48:46.161Z"},{"id":"arxiv:2403.11086v1","name":"Air Traffic Management for Collaborative Routing of Unmanned Aerial Vehicles via Potential Fields","source":"arxiv","abstract":"Aerial cargo transport is anticipated to play a pivotal role in the distribution of goods within urban environments. The shift is propelled by the surge in e-commerce, the imperative to deliver essential supplies to isolated areas, and the growing demand for expedited and more accessible deliveries. Our research introduces a quantifiable standard for defining routing restrictions for Unmanned Aircraft System Traffic Management (UTM) using the concept of repulsive potential fields. Furthermore, we propose a scalable infrastructure that facilitates collaborative routing of cargo Unmanned Aerial Vehicles (UAVs) by independent shareholders. The practicality of the infrastructure is validated through a functional prototype implemented at a national scale.","url":"https://arxiv.org/abs/2403.11086v1","authors":["Josue N. Rivera","Dengfeng Sun"],"tags":["eess.SY"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2024-03-17T04:36:20Z","addedAt":"2026-08-06T22:48:46.161Z"},{"id":"arxiv:1806.04364v1","name":"Downlink Analysis in Unmanned Aerial Vehicle (UAV) Assisted Cellular Networks with Clustered Users","source":"arxiv","abstract":"The use of unmanned aerial vehicles (UAVs) operating as aerial base stations (BSs) has emerged as a promising solution especially in scenarios requiring rapid deployments (e.g., in the cases of crowded hotspots, sporting events, emergencies, natural disasters) in order to assist the ground BSs. In this paper, an analytical framework is provided to analyze the signal-to-interference-plus-noise ratio (SINR) coverage probability of unmanned aerial vehicle (UAV) assisted cellular networks with clustered user equipments (UEs). Locations of UAVs and ground BSs are modeled as Poison point processes (PPPs), and UEs are assumed to be distributed according to a Poisson cluster process (PCP) around the projections of UAVs on the ground. Initially, the complementary cumulative distribution function (CCDF) and probability density function (PDF) of path losses for both UAV and ground BS tiers are derived. Subsequently, association probabilities with each tier are obtained. SINR coverage probability is derived for the entire network using tools from stochastic geometry. Finally, area spectral efficiency (ASE) of the entire network is determined, and SINR coverage probability expression for a more general model is presented by considering that UAVs are located at different heights. Via numerical results, we have shown that UAV height and path-loss exponents play important roles on the coverage performance. Moreover, coverage probability can be improved with smaller number of UAVs, while better area spectral efficiency is achieved by employing more UAVs and having UEs more compactly clustered around the UAVs.","url":"https://arxiv.org/abs/1806.04364v1","authors":["Esma Turgut","Mustafa Cenk Gursoy"],"tags":["cs.IT"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2018-06-12T07:13:44Z","addedAt":"2026-08-06T22:48:46.161Z"},{"id":"arxiv:2506.18264v2","name":"Learning Approach to Efficient Vision-based Active Tracking of a Flying Target by an Unmanned Aerial Vehicle","source":"arxiv","abstract":"Autonomous tracking of flying aerial objects has important civilian and defense applications, ranging from search and rescue to counter-unmanned aerial systems (counter-UAS). Ground based tracking requires setting up infrastructure, could be range limited, and may not be feasible in remote areas, crowded cities or in dense vegetation areas. Vision based active tracking of aerial objects from another airborne vehicle, e.g., a chaser unmanned aerial vehicle (UAV), promises to fill this important gap, along with serving aerial coordination use cases. Vision-based active tracking by a UAV entails solving two coupled problems: 1) compute-efficient and accurate (target) object detection and target state estimation; and 2) maneuver decisions to ensure that the target remains in the field of view in the future time-steps and favorably positioned for continued detection. As a solution to the first problem, this paper presents a novel integration of standard deep learning based architectures with Kernelized Correlation Filter (KCF) to achieve compute-efficient object detection without compromising accuracy, unlike standalone learning or filtering approaches. The proposed perception framework is validated using a lab-scale setup. For the second problem, to obviate the linearity assumptions and background variations limiting effectiveness of the traditional controllers, we present the use of reinforcement learning to train a neuro-controller for fast computation of velocity maneuvers. New state space, action space and reward formulations are developed for this purpose, and training is performed in simulation using AirSim. The trained model is also tested in AirSim with respect to complex target maneuvers, and is found to outperform a baseline PID control in terms of tracking up-time and average distance maintained (from the target) during tracking.","url":"https://arxiv.org/abs/2506.18264v2","authors":["Jagadeswara PKV Pothuri","Aditya Bhatt","Prajit KrisshnaKumar","Manaswin Oddiraju","Souma Chowdhury"],"tags":["cs.RO"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2025-06-23T03:39:57Z","addedAt":"2026-08-06T22:48:46.161Z"},{"id":"arxiv:2311.05648v1","name":"Risk Management of Unmanned Aerial Vehicles","source":"arxiv","abstract":"This paper presents an efficient risk management model for unmanned aerial vehicles or UAVs. Our proposed risk management establishes a cyclic model with a continuous and iterative structure that is very adaptable to agile methods and all IT-related resources. This model can be used in many applications, but as a case study, we have discussed it for UAVs. The increasing use of UAVs or drones in many fields and the existence of different threats is the main reason to have an efficient risk management method for them. In this paper, we cover risks based on IT-driven assets to decrease the chance of losing any data, failing the equipment or the system, and missing the reputation or credit based on cyclic and iterative flow. Our current risk management model for UAVs or drones is based on qualitative measures and can cover most of IT-based risks.","url":"https://arxiv.org/abs/2311.05648v1","authors":["Hamid Reza Naji","Aref Ayati"],"tags":["eess.SY","cs.CR"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2023-11-07T10:46:08Z","addedAt":"2026-08-06T22:48:46.161Z"},{"id":"arxiv:2007.03501v1","name":"Coverage of an Environment Using Energy-Constrained Unmanned Aerial Vehicles","source":"arxiv","abstract":"We study the problem of covering an environment using an Unmanned Aerial Vehicle (UAV) with limited battery capacity. We consider a scenario where the UAV can land on an Unmanned Ground Vehicle (UGV) and recharge the onboard battery. The UGV can also recharge the UAV while transporting the UAV to the next take-off site. We present an algorithm to solve a new variant of the area coverage problem that takes into account this symbiotic UAV and UGV system. The input consists of a set of boustrophedon cells -- rectangular strips whose width is equal to the field-of-view of the sensor on the UAV. The goal is to find a coordinated strategy for the UAV and UGV that visits and covers all cells in minimum time, while optimally finding how much to recharge, where to recharge, and when to recharge the battery. This includes flight time for visiting and covering all cells, recharging time, as well as the take-off and landing times. We show how to reduce this problem to a known NP-hard problem, Generalized Traveling Salesperson Problem (GTSP). Given an optimal GTSP solver, our approach finds the optimal coverage paths for the UAV and UGV. Our formulation models multi-rotor UAVs as well as hybrid UAVs that can operate in fixed-wing and Vertical Take-off and Landing modes. We evaluate our algorithm through simulations and proof-of-concept experiments.","url":"https://arxiv.org/abs/2007.03501v1","authors":["Kevin Yu","Jason M. O'Kane","Pratap Tokekar"],"tags":["cs.RO"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2020-07-07T14:39:54Z","addedAt":"2026-08-06T22:48:46.161Z"},{"id":"arxiv:1911.07904v2","name":"Self-Powered Solar Aerial Vehicles: Towards Infinite Endurance UAVs","source":"arxiv","abstract":"A self-powered scheme is explored for achieving long-endurance operation, with the use of solar power and buoyancy lift. The end goal is the capability of infinite endurance while complying with the Unmanned Aerial Vehicle (UAV) dynamics and the required control performance, maneuvering, and duty cycles. Nondimensional power terms related to the UAV power demand and solar energy input are determined in a framework of Optimal Uncertainty Quantification (OUQ). OUQ takes uncertainties and incomplete information in the dynamics and control, available solar energy, and the electric power demand of a solar UAV model into account, and provides an optimal solution for achieving a self-sustained system in terms of energy. Self-powered trajectory tracking, speed and control are discussed. Aerial vehicles of this class can overcome the flight time limitations of current electric UAVs, thereby meeting the needs of many applications. This paper serves as a reference in providing a generalized approach in design of self-powered solar electric multi-rotor UAVs.","url":"https://arxiv.org/abs/1911.07904v2","authors":["Farbod Khoshnoud","Ibrahim I. Esat","Clarence W. de Silva","Jason D. Rhodes","Alina A. Kiessling","Marco B. Quadrelli"],"tags":["eess.SY"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2019-11-18T20:04:18Z","addedAt":"2026-08-06T22:48:46.161Z"},{"id":"arxiv:1909.06154v1","name":"A Swash Mass Unmanned Aerial Vehicle: Design, Modeling and Control","source":"arxiv","abstract":"In this paper, a new unmanned aerial vehicle (UAV) structure, referred to as swash mass UAV, is presented. It consists of a double blade coaxial shaft rotor and four swash masses that allow changing the orientation and maneuvering the UAV. The dynamical system model is derived from the Newton\\textquotesingle s law framework. The rotational behavior of the UAV is discussed as a function of the design parameters. Given the uniqueness and the form of the obtained non-linear dynamical system model, a back-stepping control mechanism is proposed. It is obtained following the Lyapunov's control approach in each iteration step. Numerical results show that the swashed mass UAV can be maneuvered with the proposed control algorithm so that linear and aggressive trajectories can be accurately tracked.","url":"https://arxiv.org/abs/1909.06154v1","authors":["Andrea M. Tonello","Babak Salamat"],"tags":["eess.SY"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2019-09-13T11:39:50Z","addedAt":"2026-08-06T22:48:46.161Z"},{"id":"arxiv:2106.08379v2","name":"Routing Problem for Unmanned Aerial Vehicle Patrolling Missions -- A Progressive Hedging Algorithm","source":"arxiv","abstract":"The paper presents a two-stage stochastic program to model a routing problem involving an Unmanned Aerial Vehicle (UAV) in the context of patrolling missions. In particular, given a set of targets and a set of supplemental targets corresponding to each target, the first stage decisions involve finding the sequence in which the vehicle has to visit the set of targets. Upon reaching each target, the UAV collects information and if the operator of the UAV deems that the information collected is not of sufficient fidelity, then the UAV has to visit all the supplemental targets corresponding to that target to collect additional information before proceeding to visit the next target. The problem is solved using a progressive hedging algorithm and extensive computational results corroborating the effectiveness of the proposed model and the solution methodology is presented.","url":"https://arxiv.org/abs/2106.08379v2","authors":["Sudarshan Rajan","Kaarthik Sundar","Natarajan Gautam"],"tags":["math.OC"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2021-06-15T19:21:42Z","addedAt":"2026-08-06T22:48:46.161Z"},{"id":"arxiv:2607.13789v1","name":"Dynamical Vehicle Orienteering Problem for Multi-Rotor Unmanned Aerial Vehicles","source":"arxiv","abstract":"This paper introduces the Dynamical Vehicle Orienteering Problem (DVOP), a generalization of the Orienteering Problem (OP). The OP maximizes the reward collected from spatial targets under a limited travel budget; the DVOP extends it by accounting for both external and vehicle-actuated forces. We study the DVOP in the context of multi-rotor Unmanned Aerial Vehicle (UAV) flight planning, using a three-dimensional Point-Mass Model (PMM) constrained by maximum velocity and acceleration magnitudes and subject to gravitational acceleration, with the travel budget expressed as a maximum flight time. Because the DVOP couples reward maximization with time-optimal trajectory planning, it cannot be formulated as a simple graph problem and solved exactly without relaxing or under-actuating the vehicle dynamics. We therefore propose two solution approaches: a Branch-and-Bound (BnB) procedure that combines Non-Linear Programming (NLP) and Mixed-Integer Linear Programming (MILP) to provide high-quality solutions, and a Large Neighborhood Search (LNS) metaheuristic that supplies an initial reward bound and scales to instances intractable for the BnB. The BnB relies on a novel MILP formulation of travel costs based on minimum-time trajectory primitives through target triplets, yielding a tight reward upper bound, while the LNS uses limited thrust decomposition to compute fast, high-quality PMM trajectories. Experiments on benchmark instances show improvements of up to 37 % over state-of-the-art solutions for the Kinematic Orienteering Problem, and a real-world deployment on a multi-rotor UAV verifies the proposed PMM solution trajectories.","url":"https://arxiv.org/abs/2607.13789v1","authors":["František Nekovář","Matej Novosad","Martin Saska","Robert Pěnička"],"tags":["cs.RO","math.OC"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2026-07-15T12:48:18Z","addedAt":"2026-08-06T22:48:46.161Z"},{"id":"arxiv:2009.09647v1","name":"Reinforced Edge Selection using Deep Learning for Robust Surveillance in Unmanned Aerial Vehicles","source":"arxiv","abstract":"In this paper, we propose a novel deep Q-network (DQN)-based edge selection algorithm designed specifically for real-time surveillance in unmanned aerial vehicle (UAV) networks. The proposed algorithm is designed under the consideration of delay, energy, and overflow as optimizations to ensure real-time properties while striking a balance for other environment-related parameters. The merit of the proposed algorithm is verified via simulation-based performance evaluation.","url":"https://arxiv.org/abs/2009.09647v1","authors":["Soohyun Park","Jeman Park","David Mohaisen","Joongheon Kim"],"tags":["cs.DC"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2020-09-21T07:12:07Z","addedAt":"2026-08-06T22:48:46.161Z"},{"id":"arxiv:2112.11219v1","name":"An Autonomous Self-Incremental Learning Approach for Detection of Cyber Attacks on Unmanned Aerial Vehicles (UAVs)","source":"arxiv","abstract":"As the technological advancement and capabilities of automated systems have increased drastically, the usage of unmanned aerial vehicles for performing human-dependent tasks without human indulgence has also spiked. Since unmanned aerial vehicles are heavily dependent on Information and Communication Technology, they are highly prone to cyber-attacks. With time more advanced and new attacks are being developed and employed. However, the current Intrusion detection system lacks detection and classification of new and unknown attacks. Therefore, for having an autonomous and reliable operation of unmanned aerial vehicles, more robust and automated cyber detection and protection schemes are needed. To address this, we have proposed an autonomous self-incremental learning architecture, capable of detecting known and unknown cyber-attacks on its own without any human interference. In our approach, we have combined signature-based detection along with anomaly detection in such a way that the signature-based detector autonomously updates its attack classes with the help of an anomaly detector. To achieve this, we have implemented an incremental learning approach, updating our model to incorporate new classes without forgetting the old ones. To validate the applicability and effectiveness of our proposed architecture, we have implemented it in a trial scenario and then compared it with the traditional offline learning approach. Moreover, our anomaly-based detector has achieved a 100% detection rate for attacks.","url":"https://arxiv.org/abs/2112.11219v1","authors":["Yasir Ali Farrukh","Irfan Khan"],"tags":["cs.CR","eess.SP"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2021-12-18T19:58:20Z","addedAt":"2026-08-06T22:48:46.161Z"},{"id":"arxiv:2410.05186v2","name":"State estimation of marine vessels affected by waves by unmanned aerial vehicles","source":"arxiv","abstract":"A novel approach for robust state estimation of marine vessels in rough water is proposed in this paper to enable tight collaboration between Unmanned Aerial Vehicles (UAVs) and a marine vessel, such as cooperative landing or object manipulation, regardless of weather conditions. Our study of marine vessel (in our case Unmanned Surface Vehicle (USV)) dynamics influenced by strong wave motion has resulted in a novel nonlinear mathematical USV model with 6 degrees of freedom (DOFs), which is required for precise USV state estimation and motion prediction. The proposed state estimation and prediction approach fuses data from multiple sensors onboard the UAV and the USV to enable redundancy and robustness under varying weather conditions of real-world applications. The proposed approach provides estimated states of the USV with 6 DOFs and predicts its future states to enable tight control of both vehicles on a receding control horizon. The proposed approach was extensively tested in the realistic Gazebo simulator and successfully experimentally validated in many real-world experiments representing different application scenarios, including agile landing on an oscillating and moving USV. A comparative study indicates that the proposed approach significantly surpassed the current state-of-the-art.","url":"https://arxiv.org/abs/2410.05186v2","authors":["Filip Novák","Tomáš Báča","Ondřej Procházka","Martin Saska"],"tags":["cs.RO"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2024-10-07T16:45:01Z","addedAt":"2026-08-06T22:48:46.161Z"},{"id":"arxiv:1805.04328v1","name":"Channel Model in Urban Environment for Unmanned Aerial Vehicle Communications","source":"arxiv","abstract":"In order to develop and analyze reliable communications links for unmanned aerial vehicles (UAVs), accurate models for the propagation channel are required. The radio channel properties in the urban scenario are different from those in the suburb scenario and open area due to so many scattering paths from office buildings, especially when the UAV flies in the low altitude. We took some measurement campaigns on the campus of Tsinghua University with crowded apartments and office buildings. Based on the measurement result we extract the main parameters of pathloss model, and propose a simplified Saleh-Valenzuela (SV) model with specific parameters. The typical scene of central lawn is compared with the office buildings in the analysis of K-factor and root-mean-square (RMS) delay spread.","url":"https://arxiv.org/abs/1805.04328v1","authors":["Zhi Yang","Lai Zhou","Guangyue Zhao","Shidong Zhou"],"tags":["cs.IT","eess.SP"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2018-05-11T11:24:59Z","addedAt":"2026-08-06T22:48:46.161Z"},{"id":"arxiv:2212.05028v1","name":"A systematic literature review on Security of Unmanned Aerial Vehicle Systems","source":"arxiv","abstract":"Unmanned aerial vehicles (UAVs) are becoming more common, and their operational range is expanding tremendously, making the security aspect of the inquiry essential. This study does a thorough assessment of the literature to determine the most common cyberattacks and the effects they have on UAV assaults on civilian targets. The STRIDE assault paradigm, the challenge they present, and the proper tools for the attack are used to categorize the cyber dangers discussed in this paper. Spoofing and denial of service assaults are the most prevalent types of UAV cyberattacks and have the best results. No attack style demands the employment of a hard-to-reach gadget, indicating that the security environment currently necessitates improvements to UAV use in civilian applications.","url":"https://arxiv.org/abs/2212.05028v1","authors":["Tirth Patel","Niyatiben Salot","Vrusha Parikh"],"tags":["cs.CR","cs.NI"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2022-12-09T18:21:18Z","addedAt":"2026-08-06T22:48:46.161Z"},{"id":"arxiv:2110.01596v1","name":"Sensitivity Study of Fiducial-Aided Navigation of Unmanned Aerial Vehicles","source":"arxiv","abstract":"The possible applications and benefits of autonomous Unmanned Aerial Vehicle (UAV) use in urban areas are gaining considerable attention. Before these possibilities can be realized, it is essential that UAVs be able to navigate reliably and precisely in urban environments. The most common means of determining the location of a UAV is to utilize position measurements from Global Navigation Satellite Systems (GNSS). In urban environments, however, GNSS measurements are significantly degraded due to occlusions and multipath. This research analyzes the use of camera Line-of-Sight (LOS) measurements to self-describing fiducials as a replacement for conventional GNSS measurements. An extended Kalman filter (EKF) is developed and validated for the purpose of combining continuous measurements from an Inertial Measurement Unit (IMU) with the discrete LOS measurements to accurately estimate the states of a UAV. The sensitivity of the estimation error covariance to various system parameters is assessed, including IMU grade, fiducial placement, vehicle altitude, and image processing frequency.","url":"https://arxiv.org/abs/2110.01596v1","authors":["Amanda J. Strate","Randall Christensen"],"tags":["cs.RO","eess.SY"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2021-10-04T17:50:31Z","addedAt":"2026-08-06T22:48:46.161Z"},{"id":"arxiv:2302.13980v1","name":"A Grammar for the Representation of Unmanned Aerial Vehicles with 3D Topologies","source":"arxiv","abstract":"We propose a context-sensitive grammar for the systematic exploration of the design space of the topology of 3D robots, particularly unmanned aerial vehicles. It defines production rules for adding components to an incomplete design topology modeled over a 3D grid. The rules are local. The grammar is simple, yet capable of modeling most existing UAVs as well as novel ones. It can be easily generalized to other robotic platforms. It can be thought of as a building block for any design exploration and optimization algorithm.","url":"https://arxiv.org/abs/2302.13980v1","authors":["Piergiuseppe Mallozzi","Hussein Sibai","Inigo Incer","Sanjit A. Seshia","Alberto Sangiovanni-Vincentelli"],"tags":["cs.RO","cs.AI","cs.FL"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2023-02-27T17:18:22Z","addedAt":"2026-08-06T22:48:46.161Z"},{"id":"arxiv:1910.10451v2","name":"Unmanned Aerial Vehicles in Logistics: Efficiency Gains and Communication Performance of Hybrid Combinations of Ground and Aerial Vehicles","source":"arxiv","abstract":"Unmanned Aerial Vehicles (UAVs) have drastically gained popularity in various Intelligent Transportation System (ITS) applications to improve the safety and efficiency of transportation systems. In this context, the combination of ground vehicles, such as delivery trucks, with drones to assist in the last mile pick-up and delivery of the parcels has been recently proposed. While aerial vehicles promise increased efficiency based on flexible routes and parallelized operation, highly reliable wireless communication is also required for the control and coordination of potentially many drones acting in a self-organized way. In this paper, we analyze the improvements procured by drone usage in parcel delivery compared to traditional delivery and propose a simulation framework to further quantify the efficiency gains of the parcel delivery logistics and to analyze the performance of different wireless communications options. To this end, we consider a heterogeneous vehicle routing problem with various constraints. We consider two approaches regarding the dispatching and recovery of drones and evaluate their benefits as opposed to parcel delivery with a classic truck only. Furthermore, we compare two networking technologies for enabling coordination of the self-organizing teams of drones with a realistically modeled environment: one approach relying on base station oriented Long Term Evolution (LTE) vs. a more decentralized Cellular Vehicle-to-Everything (C-V2X) solution. The results show time savings of nearly 40% can be achieved through drone usage and that the negative impact of urban shadowing on network communications in the base station oriented LTE approach can be compensated by leveraging decentralized C-V2X communications","url":"https://arxiv.org/abs/1910.10451v2","authors":["Manuel Patchou","Benjamin Sliwa","Christian Wietfeld"],"tags":["cs.NI","eess.SP"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2019-10-23T10:35:42Z","addedAt":"2026-08-06T22:48:46.161Z"},{"id":"arxiv:1903.00815v2","name":"Detecting Invasive Insects with Unmanned Aerial Vehicles","source":"arxiv","abstract":"A key aspect to controlling and reducing the effects invasive insect species have on agriculture is to obtain knowledge about the migration patterns of these species. Current state-of-the-art methods of studying these migration patterns involve a mark-release-recapture technique, in which insects are released after being marked and researchers attempt to recapture them later. However, this approach involves a human researcher manually searching for these insects in large fields and results in very low recapture rates. In this paper, we propose an automated system for detecting released insects using an unmanned aerial vehicle. This system utilizes ultraviolet lighting technology, digital cameras, and lightweight computer vision algorithms to more quickly and accurately detect insects compared to the current state of the art. The efficiency and accuracy that this system provides will allow for a more comprehensive understanding of invasive insect species migration patterns. Our experimental results demonstrate that our system can detect real target insects in field conditions with high precision and recall rates.","url":"https://arxiv.org/abs/1903.00815v2","authors":["Brian Stumph","Miguel Hernandez Virto","Henry Medeiros","Amy Tabb","Scott Wolford","Kevin Rice","Tracy Leskey"],"tags":["cs.RO"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2019-03-03T03:36:07Z","addedAt":"2026-08-06T22:48:46.161Z"},{"id":"arxiv:2112.13819v1","name":"Trajectory Planning for Hybrid Unmanned Aerial Underwater Vehicles with Smooth Media Transition","source":"arxiv","abstract":"In the last decade, a great effort has been employed in the study of Hybrid Unmanned Aerial Underwater Vehicles, robots that can easily fly and dive into the water with different levels of mechanical adaptation. However, most of this literature is concentrated on physical design, practical issues of construction, and, more recently, low-level control strategies. Little has been done in the context of high-level intelligence, such as motion planning and interactions with the real world. Therefore, we proposed in this paper a trajectory planning approach that allows collision avoidance against unknown obstacles and smooth transitions between aerial and aquatic media. Our method is based on a variant of the classic Rapidly-exploring Random Tree, whose main advantages are the capability to deal with obstacles, complex nonlinear dynamics, model uncertainties, and external disturbances. The approach uses the dynamic model of the \\hydrone, a hybrid vehicle proposed with high underwater performance, but we believe it can be easily generalized to other types of aerial/aquatic platforms. In the experimental section, we present simulated results in environments filled with obstacles, where the robot is commanded to perform different media movements, demonstrating the applicability of our strategy.","url":"https://arxiv.org/abs/2112.13819v1","authors":["Pedro Miranda Pinheiro","Armando Alves Neto","Ricardo Bedin Grando","Cesar Bastos da Silva","Vivian Misaki Aoki","Dayana Cardoso","Alexandre Campos Horn","Paulo Lilles Jorge Drews-Jr"],"tags":["cs.RO"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2021-12-27T18:14:37Z","addedAt":"2026-08-06T22:48:46.161Z"},{"id":"arxiv:2304.08493v1","name":"Coordinated Multi-Agent Reinforcement Learning for Unmanned Aerial Vehicle Swarms in Autonomous Mobile Access Applications","source":"arxiv","abstract":"This paper proposes a novel centralized training and distributed execution (CTDE)-based multi-agent deep reinforcement learning (MADRL) method for multiple unmanned aerial vehicles (UAVs) control in autonomous mobile access applications. For the purpose, a single neural network is utilized in centralized training for cooperation among multiple agents while maximizing the total quality of service (QoS) in mobile access applications.","url":"https://arxiv.org/abs/2304.08493v1","authors":["Chanyoung Park","Haemin Lee","Won Joon Yun","Soyi Jung","Joongheon Kim"],"tags":["cs.MA","cs.AI","cs.LG","cs.RO"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2022-12-23T13:12:17Z","addedAt":"2026-08-06T22:48:46.161Z"},{"id":"arxiv:1807.11805v2","name":"Disaster Monitoring using Unmanned Aerial Vehicles and Deep Learning","source":"arxiv","abstract":"Monitoring of disasters is crucial for mitigating their effects on the environment and human population, and can be facilitated by the use of unmanned aerial vehicles (UAV), equipped with camera sensors that produce aerial photos of the areas of interest. A modern technique for recognition of events based on aerial photos is deep learning. In this paper, we present the state of the art work related to the use of deep learning techniques for disaster identification. We demonstrate the potential of this technique in identifying disasters with high accuracy, by means of a relatively simple deep learning model. Based on a dataset of 544 images (containing disaster images such as fires, earthquakes, collapsed buildings, tsunami and flooding, as well as non-disaster scenes), our results show an accuracy of 91% achieved, indicating that deep learning, combined with UAV equipped with camera sensors, have the potential to predict disasters with high accuracy.","url":"https://arxiv.org/abs/1807.11805v2","authors":["Andreas Kamilaris","Francesc X. Prenafeta-Boldú"],"tags":["cs.LG","cs.AI","cs.CV","stat.ML"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2018-07-31T13:24:31Z","addedAt":"2026-08-06T22:48:46.161Z"},{"id":"arxiv:2004.10083v1","name":"RSSI-based Outdoor Localization with Single Unmanned Aerial Vehicle","source":"arxiv","abstract":"Localization of a target object has been performed conventionally using multiple terrestrial reference nodes. This paradigm is recently shifted towards utilization of unmanned aerial vehicles (UAVs) for locating target objects. Since locating of a target using simultaneous multiple UAVs is costly and impractical, achieving this task by utilizing single UAV becomes desirable. Hence, in this paper, we propose an RSSI-based localization method that utilizes only a single UAV. The proposed approach is based on clustering method along with the Singular Value Decomposition (SVD). The performance of the proposed method is verified by the experimental measurements collected by a UAV that we have designed and computer simulations. The results show that the proposed method can achieve location accuracy as low as 7m depending on the number of iterations.","url":"https://arxiv.org/abs/2004.10083v1","authors":["Seyma Yucer","Furkan Tektas","Mesih Veysi Kilinc","Ilyas Kandemir","Hasari Celebi","Yakup Genc","Yusuf Sinan Akgul"],"tags":["eess.SP","cs.LG"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2020-04-20T15:05:41Z","addedAt":"2026-08-06T22:48:46.161Z"},{"id":"arxiv:2607.13447v1","name":"Machine Learning Challenges in Intelligent Unmanned Aerial Vehicle Operations in Developing Economie","source":"arxiv","abstract":"Unmanned aerial vehicle (UAV) environments present significant challenges for machine learning (ML) due to limited platform resources, heterogeneous sensor data, dynamic mission conditions, and safety-critical requirements. This paper examines these constraints across the core functional areas of UAV intelligence, including navigation, perception, communication-aware operation, and resilience specifically in the context of developing economies. In such settings, these challenges are often amplified by constraints such as cost sensitivity, limited infrastructure, intermittent connectivity, regulatory uncertainty, and harsh or variable operating environments. The discussion highlights the gap between ML performance in controlled experimental backgrounds and dependable deployment in real-world UAV missions within developing economies context.","url":"https://arxiv.org/abs/2607.13447v1","authors":["Isuru Munasinghe","Nethmi Pathirana","Charitha Dombawala","Asanka Perera","Akila Pemasiri"],"tags":["eess.SY"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2026-07-15T05:11:27Z","addedAt":"2026-08-06T22:48:46.161Z"},{"id":"arxiv:2302.14543v1","name":"RRT and Velocity Obstacles-based motion planning for Unmanned Aircraft Systems Traffic Management (UTM)","source":"arxiv","abstract":"In this paper, an algorithm for Unmanned Aircraft Systems Traffic Management (UTM) for a finite number of unmanned aerial vehicles (UAVs) is proposed. This algorithm is developed by combining the Rapidly-Exploring Random Trees (RRT) and Velocity Obstacle (VO) algorithms and is referred to as the RRT-VO UTM algorithm. Here, the RRT algorithm works offline to generate obstacle-free waypoints in a given environment with known static obstacles. The VO algorithm, on the other hand, operates online to avoid collisions with other UAVS and known static obstacles. The boundary of the static obstacles are approximated by small circles to facilitate the formulation of VO algorithm. The proposed algorithm's performance is evaluated using numerical simulation and then compared to the well-known artificial potential field (APF) algorithm for collision avoidance. The advantages of the proposed method are clearly shown in terms of lower path length and collision avoidance capabilities for a challenging scenario.","url":"https://arxiv.org/abs/2302.14543v1","authors":[" Himanshu","Jinraj V Pushpangathan","Harikumar Kandath"],"tags":["cs.RO"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2023-02-28T13:08:11Z","addedAt":"2026-08-06T22:48:46.161Z"},{"id":"arxiv:1705.03415v1","name":"3D Placement of an Unmanned Aerial Vehicle Base Station (UAV-BS) for Energy-Efficient Maximal Coverage","source":"arxiv","abstract":"Unmanned Aerial Vehicle mounted base stations (UAV-BSs) can provide wireless services in a variety of scenarios. In this letter, we propose an optimal placement algorithm for UAV-BSs that maximizes the number of covered users using the minimum transmit power. We decouple the UAV-BS deployment problem in the vertical and horizontal dimensions without any loss of optimality. Furthermore, we model the UAV-BS deployment in the horizontal dimension as a circle placement problem and a smallest enclosing circle problem. Simulations are conducted to evaluate the performance of the proposed method for different spatial distributions of the users.","url":"https://arxiv.org/abs/1705.03415v1","authors":["Mohamed Alzenad","Amr El-Keyi","Faraj Lagum","Halim Yanikomeroglu"],"tags":["cs.IT"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2017-05-09T16:34:39Z","addedAt":"2026-08-06T22:48:46.161Z"},{"id":"arxiv:2406.09260v3","name":"Deep Transformer Network for Monocular Pose Estimation of Shipborne Unmanned Aerial Vehicle","source":"arxiv","abstract":"This paper introduces a deep transformer network for estimating the relative 6D pose of a Unmanned Aerial Vehicle (UAV) with respect to a ship using monocular images. A synthetic dataset of ship images is created and annotated with 2D keypoints of multiple ship parts. A Transformer Neural Network model is trained to detect these keypoints and estimate the 6D pose of each part. The estimates are integrated using Bayesian fusion. The model is tested on synthetic data and in-situ flight experiments, demonstrating robustness and accuracy in various lighting conditions. The position estimation error is approximately 0.8\\% and 1.0\\% of the distance to the ship for the synthetic data and the flight experiments, respectively. The method has potential applications for ship-based autonomous UAV landing and navigation.","url":"https://arxiv.org/abs/2406.09260v3","authors":["Maneesha Wickramasuriya","Taeyoung Lee","Murray Snyder"],"tags":["cs.CV","cs.AI","cs.RO","eess.IV"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2024-06-13T16:01:22Z","addedAt":"2026-08-06T22:48:46.161Z"},{"id":"arxiv:2009.11799v1","name":"Motion Planning by Reinforcement Learning for an Unmanned Aerial Vehicle in Virtual Open Space with Static Obstacles","source":"arxiv","abstract":"In this study, we applied reinforcement learning based on the proximal policy optimization algorithm to perform motion planning for an unmanned aerial vehicle (UAV) in an open space with static obstacles. The application of reinforcement learning through a real UAV has several limitations such as time and cost; thus, we used the Gazebo simulator to train a virtual quadrotor UAV in a virtual environment. As the reinforcement learning progressed, the mean reward and goal rate of the model were increased. Furthermore, the test of the trained model shows that the UAV reaches the goal with an 81% goal rate using the simple reward function suggested in this work.","url":"https://arxiv.org/abs/2009.11799v1","authors":["Sanghyun Kim","Jongmin Park","Jae-Kwan Yun","Jiwon Seo"],"tags":["cs.RO","cs.LG"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2020-09-24T16:42:56Z","addedAt":"2026-08-06T22:48:46.161Z"},{"id":"arxiv:2109.00145v2","name":"V2X Communication Between Connected and Automated Vehicles (CAVs) and Unmanned Aerial Vehicles (UAVs)","source":"arxiv","abstract":"Connectivity between ground vehicles can be utilized and expanded to include aerial vehicles for coordinated missions. Using Vehicle-to-Everything (V2X) communication technologies, a communication link can be established between Connected and Autonomous vehicles (CAVs) and Unmanned Aerial vehicles (UAVs). Hardware implementation and testing of a ground to air communication link is crucial for real-life applications. Two different communication links were established, Dedicated Short Range communication (DSRC) and 4G internet based WebSocket communication. Both links were tested separately both for stationary and dynamic test cases. One step further, both links were used together for a real-life use case scenario called Quick Clear demonstration. The aim was to first send ground vehicle location information from the CAV to the UAV through DSRC communication. On the UAV side, the connection between the DSRC modem and Raspberry Pi companion computer was established through User Datagram Protocol (UDP) to get the CAV location information to the companion computer. Raspberry Pi handles 2 different connection, it first connects to a traffic contingency management system (CMP) through Transmission Control Protocol (TCP) to send CAV and UAV location information to the CMP. Secondly, Raspberry Pi uses a WebSocket communication to connect to a web server to send photos taken by an on-board camera the UAV has. Quick Clear demo was conducted both for stationary test and dynamic flight tests. The results show that this communication structure can be utilized for real-life scenarios.","url":"https://arxiv.org/abs/2109.00145v2","authors":["Ozgenur Kavas-Torris","Sukru Yaren Gelbal","Mustafa Ridvan Cantas","Bilin Aksun-Guvenc","Levent Guvenc"],"tags":["eess.SY","cs.MA","cs.RO"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2021-09-01T01:36:55Z","addedAt":"2026-08-06T22:48:46.161Z"},{"id":"arxiv:2409.06501v4","name":"An Adaptive Sliding Window Estimator for Positioning of Unmanned Aerial Vehicle Using a Single Anchor","source":"arxiv","abstract":"Localization using a single range anchor combined with onboard optical-inertial odometry offers a lightweight solution that provides multidimensional measurements for the positioning of unmanned aerial vehicles. Unfortunately, the performance of such lightweight sensors varies with the dynamic environment, and the fidelity of the dynamic model is also severely affected by environmental aerial flow. To address this challenge, we propose an adaptive sliding window estimator equipped with an estimation reliability evaluator, where the states, noise covariance matrices and aerial drag are estimated simultaneously. The aerial drag effects are first evaluated based on posterior states and covariance. Then, an augmented Kalman filter is designed to pre-process multidimensional measurements and inherit historical information. Subsequently, an inverse-Wishart smoother is employed to estimate posterior states and covariance matrices. To further suppress potential divergence, a reliability evaluator is devised to infer estimation errors. We further determine the fidelity of each sensor based on the error propagation. Extensive experiments are conducted in both standard and harsh environments, demonstrating the adaptability and robustness of the proposed method. The root mean square error reaches 0.15 m, outperforming the state-of-the-art approach. Real-world close-loop control experiments are additionally performed to verify the estimator's competence in practical application.","url":"https://arxiv.org/abs/2409.06501v4","authors":["Kaiwen Xiong","Sijia Chen","Wei Dong"],"tags":["cs.RO"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2024-09-10T13:34:53Z","addedAt":"2026-08-06T22:48:46.161Z"},{"id":"arxiv:2403.11875v1","name":"Towards Real-Time Fast Unmanned Aerial Vehicle Detection Using Dynamic Vision Sensors","source":"arxiv","abstract":"Unmanned Aerial Vehicles (UAVs) are gaining popularity in civil and military applications. However, uncontrolled access to restricted areas threatens privacy and security. Thus, prevention and detection of UAVs are pivotal to guarantee confidentiality and safety. Although active scanning, mainly based on radars, is one of the most accurate technologies, it can be expensive and less versatile than passive inspections, e.g., object recognition. Dynamic vision sensors (DVS) are bio-inspired event-based vision models that leverage timestamped pixel-level brightness changes in fast-moving scenes that adapt well to low-latency object detection. This paper presents F-UAV-D (Fast Unmanned Aerial Vehicle Detector), an embedded system that enables fast-moving drone detection. In particular, we propose a setup to exploit DVS as an alternative to RGB cameras in a real-time and low-power configuration. Our approach leverages the high-dynamic range (HDR) and background suppression of DVS and, when trained with various fast-moving drones, outperforms RGB input in suboptimal ambient conditions such as low illumination and fast-moving scenes. Our results show that F-UAV-D can (i) detect drones by using less than &lt;15 W on average and (ii) perform real-time inference (i.e., &lt;50 ms) by leveraging the CPU and GPU nodes of our edge computer.","url":"https://arxiv.org/abs/2403.11875v1","authors":["Jakub Mandula","Jonas Kühne","Luca Pascarella","Michele Magno"],"tags":["cs.CV","eess.IV"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2024-03-18T15:27:58Z","addedAt":"2026-08-06T22:48:46.161Z"},{"id":"arxiv:2203.13607v1","name":"Fast and computationally efficient generative adversarial network algorithm for unmanned aerial vehicle-based network coverage optimization","source":"arxiv","abstract":"The challenge of dynamic traffic demand in mobile networks is tackled by moving cells based on unmanned aerial vehicles. Considering the tremendous potential of unmanned aerial vehicles in the future, we propose a new heuristic algorithm for coverage optimization. The proposed algorithm is implemented based on a conditional generative adversarial neural network, with a unique multilayer sum-pooling loss function. To assess the performance of the proposed approach, we compare it with the optimal core-set algorithm and quasi-optimal spiral algorithm. Simulation results show that the proposed approach converges to the quasi-optimal solution with a negligible difference from the global optimum while maintaining a quadratic complexity regardless of the number of users.","url":"https://arxiv.org/abs/2203.13607v1","authors":["Marek Ružička","Marcel Vološin","Juraj Gazda","Taras Maksymyuk","Longzhe Han","Mischa Dohler"],"tags":["cs.LG","cs.NI"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2022-03-25T12:13:21Z","addedAt":"2026-08-06T22:48:46.161Z"},{"id":"arxiv:1602.03602v1","name":"Wireless Communications with Unmanned Aerial Vehicles: Opportunities and Challenges","source":"arxiv","abstract":"Wireless communication systems that include unmanned aerial vehicles (UAVs) promise to provide cost-effective wireless connectivity for devices without infrastructure coverage. Compared to terrestrial communications or those based on high-altitude platforms (HAPs), on-demand wireless systems with low-altitude UAVs are in general faster to deploy, more flexibly re-configured, and are likely to have better communication channels due to the presence of short-range line-of-sight (LoS) links. However, the utilization of highly mobile and energy-constrained UAVs for wireless communications also introduces many new challenges. In this article, we provide an overview of UAV-aided wireless communications, by introducing the basic networking architecture and main channel characteristics, highlighting the key design considerations as well as the new opportunities to be exploited.","url":"https://arxiv.org/abs/1602.03602v1","authors":["Yong Zeng","Rui Zhang","Teng Joon Lim"],"tags":["cs.IT","cs.NI"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2016-02-11T02:00:58Z","addedAt":"2026-08-06T22:48:46.161Z"},{"id":"arxiv:2206.15211v2","name":"Depth-CUPRL: Depth-Imaged Contrastive Unsupervised Prioritized Representations in Reinforcement Learning for Mapless Navigation of Unmanned Aerial Vehicles","source":"arxiv","abstract":"Reinforcement Learning (RL) has presented an impressive performance in video games through raw pixel imaging and continuous control tasks. However, RL performs poorly with high-dimensional observations such as raw pixel images. It is generally accepted that physical state-based RL policies such as laser sensor measurements give a more sample-efficient result than learning by pixels. This work presents a new approach that extracts information from a depth map estimation to teach an RL agent to perform the mapless navigation of Unmanned Aerial Vehicle (UAV). We propose the Depth-Imaged Contrastive Unsupervised Prioritized Representations in Reinforcement Learning(Depth-CUPRL) that estimates the depth of images with a prioritized replay memory. We used a combination of RL and Contrastive Learning to lead with the problem of RL based on images. From the analysis of the results with Unmanned Aerial Vehicles (UAVs), it is possible to conclude that our Depth-CUPRL approach is effective for the decision-making and outperforms state-of-the-art pixel-based approaches in the mapless navigation capability.","url":"https://arxiv.org/abs/2206.15211v2","authors":["Junior Costa de Jesus","Victor Augusto Kich","Alisson Henrique Kolling","Ricardo Bedin Grando","Rodrigo da Silva Guerra","Paulo Lilles Jorge Drews"],"tags":["cs.RO","cs.AI"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2022-06-30T11:54:01Z","addedAt":"2026-08-06T22:48:46.161Z"},{"id":"arxiv:1904.01257v2","name":"Cooperation Techniques for A Cellular Internet of Unmanned Aerial Vehicles","source":"arxiv","abstract":"Unmanned aerial vehicles (UAVs) are powerful Internet-of-Things components to provide sensing and communications in the air due to their advantages in mobility and flexibility. As aerial users, UAVs are envisioned to support various sensing applications in the next generation cellular systems, which have been studied by the Third Generation Partnership Project (3GPP). However, the Quality-of-Services (QoS) of the cellular link between the UAV and the base station may not be guaranteed when UAVs are at the cell edge or experiencing deep fading. In this article, we first introduce the non-cooperative cellular Internet of UAVs. Then we propose a cooperative sense-and-send protocol, in which a UAV can upload sensory data with the help of a UAV relay, to provide a better communication QoS for the sensing tasks. Key techniques including trajectory design and radio resource management that support the cooperative cellular Internet of UAVs are presented in detail. Finally, the extended cooperative cellular Internet of UAVs is discussed for QoS improvement with some open issues, such as massive multiple-input multiple-output systems, millimeter-wave, and cognitive communications.","url":"https://arxiv.org/abs/1904.01257v2","authors":["Hongliang Zhang","Lingyang Song","Zhu Han","H. Vincent Poor"],"tags":["cs.IT"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2019-04-02T07:42:25Z","addedAt":"2026-08-06T22:48:46.161Z"},{"id":"arxiv:2210.10970v1","name":"Federated Learning via Unmanned Aerial Vehicle","source":"arxiv","abstract":"To enable communication-efficient federated learning (FL), this paper studies an unmanned aerial vehicle (UAV)-enabled FL system, where the UAV coordinates distributed ground devices for a shared model training. Specifically, by exploiting the UAV's high altitude and mobility, the UAV can proactively establish short-distance line-of-sight links with devices and prevent any device from being a communication straggler. Thus, the model aggregation process can be accelerated while the cumulative model loss caused by device scheduling can be reduced, resulting in a decreased completion time. We first present the convergence analysis of FL without the assumption of convexity, demonstrating the effect of device scheduling on the global gradients. Based on the derived convergence bound, we further formulate the completion time minimization problem by jointly optimizing device scheduling, UAV trajectory, and time allocation. This problem explicitly incorporates the devices' energy budgets, dynamic channel conditions, and convergence accuracy of FL constraints. Despite the non-convexity of the formulated problem, we exploit its structure to decompose it into two sub-problems and further derive the optimal solutions via the Lagrange dual ascent method. Simulation results show that the proposed design significantly improves the tradeoff between completion time and prediction accuracy in practical FL settings compared to existing benchmarks.","url":"https://arxiv.org/abs/2210.10970v1","authors":["Min Fu","Yuanming Shi","Yong Zhou"],"tags":["eess.SP"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2022-10-20T02:36:38Z","addedAt":"2026-08-06T22:48:46.161Z"},{"id":"arxiv:2311.15017v1","name":"Capacity and Delay of Unmanned Aerial Vehicle Networks with Mobility","source":"arxiv","abstract":"Unmanned aerial vehicles (UAVs) are widely exploited in environment monitoring, search-and-rescue, etc. However, the mobility and short flight duration of UAVs bring challenges for UAV networking. In this paper, we study the UAV networks with n UAVs acting as aerial sensors. UAVs generally have short flight duration and need to frequently get energy replenishment from the control station. Hence the returning UAVs bring the data of the UAVs along the returning paths to the control station with a store-carry-and-forward (SCF) mode. A critical range for the distance between the UAV and the control station is discovered. Within the critical range, the per-node capacity of the SCF mode is O(n/log n) times higher than that of the multi-hop mode. However, the per-node capacity of the SCF mode outside the critical range decreases with the distance between the UAV and the control station. To eliminate the critical range, a mobility control scheme is proposed such that the capacity scaling laws of the SCF mode are the same for all UAVs, which improves the capacity performance of UAV networks. Moreover, the delay of the SCF mode is derived. The impact of the size of the entire region, the velocity of UAVs, the number of UAVs and the flight duration of UAVs on the delay of SCF mode is analyzed. This paper reveals that the mobility and short flight duration of UAVs have beneficial effects on the performance of UAV networks, which may motivate the study of SCF schemes for UAV networks.","url":"https://arxiv.org/abs/2311.15017v1","authors":["Zhiqing Wei","Zhiyong Feng","Haibo Zhou","Li Wang","Huici Wu"],"tags":["cs.RO"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2023-11-25T12:50:34Z","addedAt":"2026-08-06T22:48:46.161Z"},{"id":"arxiv:2303.09013v1","name":"Self-Inspection Method of Unmanned Aerial Vehicles in Power Plants Using Deep Q-Network Reinforcement Learning","source":"arxiv","abstract":"For the purpose of inspecting power plants, autonomous robots can be built using reinforcement learning techniques. The method replicates the environment and employs a simple reinforcement learning (RL) algorithm. This strategy might be applied in several sectors, including the electricity generation sector. A pre-trained model with perception, planning, and action is suggested by the research. To address optimization problems, such as the Unmanned Aerial Vehicle (UAV) navigation problem, Deep Q-network (DQN), a reinforcement learning-based framework that Deepmind launched in 2015, incorporates both deep learning and Q-learning. To overcome problems with current procedures, the research proposes a power plant inspection system incorporating UAV autonomous navigation and DQN reinforcement learning. These training processes set reward functions with reference to states and consider both internal and external effect factors, which distinguishes them from other reinforcement learning training techniques now in use. The key components of the reinforcement learning segment of the technique, for instance, introduce states such as the simulation of a wind field, the battery charge level of an unmanned aerial vehicle, the height the UAV reached, etc. The trained model makes it more likely that the inspection strategy will be applied in practice by enabling the UAV to move around on its own in difficult environments. The average score of the model converges to 9,000. The trained model allowed the UAV to make the fewest number of rotations necessary to go to the target point.","url":"https://arxiv.org/abs/2303.09013v1","authors":["Haoran Guan"],"tags":["cs.RO","cs.LG"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2023-03-16T00:58:50Z","addedAt":"2026-08-06T22:48:46.161Z"},{"id":"arxiv:2201.08517v1","name":"Unmanned Aerial Vehicle Swarm-Enabled Edge Computing: Potentials, Promising Technologies, and Challenges","source":"arxiv","abstract":"Unmanned aerial vehicle (UAV) swarm enabled edge computing is envisioned to be promising in the sixth generation wireless communication networks due to their wide application sensories and flexible deployment. However, most of the existing works focus on edge computing enabled by a single or a small scale UAVs, which are very different from UAV swarm-enabled edge computing. In order to facilitate the practical applications of UAV swarm-enabled edge computing, the state of the art research is presented in this article. The potential applications, architectures and implementation considerations are illustrated. Moreover, the promising enabling technologies for UAV swarm-enabled edge computing are discussed. Furthermore, we outline challenges and open issues in order to shed light on the future research directions.","url":"https://arxiv.org/abs/2201.08517v1","authors":["Wei Wu","Fuhui Zhou","Baoyun Wang","Qihui Wu","Chao Dong","Rose Qingyang Hu"],"tags":["cs.NI","eess.SP"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2022-01-21T02:43:16Z","addedAt":"2026-08-06T22:48:46.161Z"},{"id":"arxiv:1612.02065v1","name":"Collaborative Visual Area Coverage using Unmanned Aerial Vehicles","source":"arxiv","abstract":"This article addresses the visual area coverage problem using a team of Unmanned Aerial Vehicles (UAVs). The UAVs are assumed to be equipped with a downward facing camera covering all points of interest within a circle on the ground. The diameter of this circular conic-section increases as the UAV flies at a larger height, yet the quality of the observed area is inverse proportional to the UAV's height. The objective is to provide a distributed control algorithm that maximizes a combined coverage-quality criterion by adjusting the UAV's altitude. Simulation studies are offered to highlight the effectiveness of the suggested scheme.","url":"https://arxiv.org/abs/1612.02065v1","authors":["Sotiris Papatheodorou","Anthony Tzes","Yiannis Stergiopoulos"],"tags":["eess.SY","cs.MA"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2016-12-06T22:52:25Z","addedAt":"2026-08-06T22:48:46.161Z"},{"id":"arxiv:1503.07253v2","name":"Safe Platooning of Unmanned Aerial Vehicles via Reachability","source":"arxiv","abstract":"Recently, there has been immense interest in using unmanned aerial vehicles (UAVs) for civilian operations such as package delivery, firefighting, and fast disaster response. As a result, UAV traffic management systems are needed to support potentially thousands of UAVs flying simultaneously in the airspace, in order to ensure their liveness and safety requirements are met. Hamilton-Jacobi (HJ) reachability is a powerful framework for providing conditions under which these requirements can be met, and for synthesizing the optimal controller for meeting them. However, due to the curse of dimensionality, HJ reachability is only tractable for a small number of vehicles if their set of maneuvers is unrestricted. In this paper, we define a platoon to be a group of UAVs in a single-file formation. We model each vehicle as a hybrid system with modes corresponding to its role in the platoon, and specify the set of allowed maneuvers in each mode to make the analysis tractable. We propose several liveness controllers based on HJ reachability, and wrap a safety controller, also based on HJ reachability, around the liveness controllers. For a single altitude range, our approach guarantees safety for one safety breach; in the unlikely event of multiple safety breaches, safety can be guaranteed over multiple altitude ranges. We demonstrate the satisfaction of liveness and safety requirements through simulations of three common scenarios.","url":"https://arxiv.org/abs/1503.07253v2","authors":["Mo Chen","Qie Hu","Casey Mackin","Jaime F. Fisac","Claire J. Tomlin"],"tags":["eess.SY"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2015-03-25T01:05:45Z","addedAt":"2026-08-06T22:48:46.161Z"},{"id":"arxiv:1908.06472v1","name":"Training Deep Learning Models via Synthetic Data: Application in Unmanned Aerial Vehicles","source":"arxiv","abstract":"This paper describes preliminary work in the recent promising approach of generating synthetic training data for facilitating the learning procedure of deep learning (DL) models, with a focus on aerial photos produced by unmanned aerial vehicles (UAV). The general concept and methodology are described, and preliminary results are presented, based on a classification problem of fire identification in forests as well as a counting problem of estimating number of houses in urban areas. The proposed technique constitutes a new possibility for the DL community, especially related to UAV-based imagery analysis, with much potential, promising results, and unexplored ground for further research.","url":"https://arxiv.org/abs/1908.06472v1","authors":["Andreas Kamilaris","Corjan van den Brink","Savvas Karatsiolis"],"tags":["cs.CV","cs.LG","eess.IV"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2019-08-18T16:25:14Z","addedAt":"2026-08-06T22:48:46.161Z"},{"id":"arxiv:1704.02630v1","name":"A Distributed Control Framework for a Team of Unmanned Aerial Vehicles for Dynamic Wildfire Tracking","source":"arxiv","abstract":"Wildland fire fighting is a very dangerous job, and the lack of information of the fire front is one of main reasons that causes many accidents. Using unmanned aerial vehicle (UAV) to cover wildfire is promising because it can replace human in hazardous fire tracking and save operation costs significantly. In this paper we propose a distributed control framework designed for a team of UAVs that can closely monitor a wildfire in open space, and precisely track its development. The UAV team, designed for flexible deployment, can effectively avoid in-flight collision as well as cooperate well with other neighbors. Experimental results are conducted to demonstrate the capabilites of the UAV team in covering a spreading wildfire.","url":"https://arxiv.org/abs/1704.02630v1","authors":["Huy X. Pham","Hung M. La","David Feil-Seifer","Matthew Deans"],"tags":["cs.RO"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2017-04-09T17:05:35Z","addedAt":"2026-08-06T22:48:46.161Z"},{"id":"arxiv:1804.00518v1","name":"The Unmanned Aerial Vehicle Benchmark: Object Detection and Tracking","source":"arxiv","abstract":"With the advantage of high mobility, Unmanned Aerial Vehicles (UAVs) are used to fuel numerous important applications in computer vision, delivering more efficiency and convenience than surveillance cameras with fixed camera angle, scale and view. However, very limited UAV datasets are proposed, and they focus only on a specific task such as visual tracking or object detection in relatively constrained scenarios. Consequently, it is of great importance to develop an unconstrained UAV benchmark to boost related researches. In this paper, we construct a new UAV benchmark focusing on complex scenarios with new level challenges. Selected from 10 hours raw videos, about 80,000 representative frames are fully annotated with bounding boxes as well as up to 14 kinds of attributes (e.g., weather condition, flying altitude, camera view, vehicle category, and occlusion) for three fundamental computer vision tasks: object detection, single object tracking, and multiple object tracking. Then, a detailed quantitative study is performed using most recent state-of-the-art algorithms for each task. Experimental results show that the current state-of-the-art methods perform relative worse on our dataset, due to the new challenges appeared in UAV based real scenes, e.g., high density, small object, and camera motion. To our knowledge, our work is the first time to explore such issues in unconstrained scenes comprehensively.","url":"https://arxiv.org/abs/1804.00518v1","authors":["Dawei Du","Yuankai Qi","Hongyang Yu","Yifan Yang","Kaiwen Duan","Guorong Li","Weigang Zhang","Qingming Huang","Qi Tian"],"tags":["cs.CV"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2018-03-26T15:07:09Z","addedAt":"2026-08-06T22:48:46.161Z"},{"id":"arxiv:1907.12307v1","name":"Robust Cellular Communications for Unmanned Aerial Vehicles in Maritime Search and Rescue","source":"arxiv","abstract":"Unmanned aerial vehicles (UAV) are a promising technology for fast, large scale survey operations such as maritime search and rescue (SAR). However, providing reliable communications over long distances remains a challenge. Cellular technology such as Long Term Evolution (LTE) is designed to perform well in the presence of fast-moving clients and highly dynamic channel conditions. Yet, its generic medium access mechanisms make it hard to support low-latency uplink traffic, which is needed for real-time command and control and similar applications. In this paper, we introduce an unmanned aerial system for maritime SAR, supported via an LTE data link. To mitigate drawbacks in uplink channel access, we develop a resource-guaranteed scheme based on persistent scheduling, using an open-source LTE stack. The approach is evaluated with a laboratory setup using software-defined radio modules. Measurements are taken on the application layer, using real-world telemetry data generated by an autopilot system in the presence of high bandwidth background traffic. Evaluations demonstrate that our system fulfills UAV requirements in terms of latency and reliability. Latency is further reduced to 6 ms on average and a 99.9th percentile of 10 ms by application-aware overprovisioning for mission-critical traffic and users.","url":"https://arxiv.org/abs/1907.12307v1","authors":["Philipp Gorczak","Caner Bektas","Fabian Kurtz","Thomas Lübcke","Christian Wietfeld"],"tags":["cs.NI"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2019-07-29T09:51:47Z","addedAt":"2026-08-06T22:48:46.161Z"},{"id":"arxiv:2410.01092v1","name":"Semantic Segmentation of Unmanned Aerial Vehicle Remote Sensing Images using SegFormer","source":"arxiv","abstract":"The escalating use of Unmanned Aerial Vehicles (UAVs) as remote sensing platforms has garnered considerable attention, proving invaluable for ground object recognition. While satellite remote sensing images face limitations in resolution and weather susceptibility, UAV remote sensing, employing low-speed unmanned aircraft, offers enhanced object resolution and agility. The advent of advanced machine learning techniques has propelled significant strides in image analysis, particularly in semantic segmentation for UAV remote sensing images. This paper evaluates the effectiveness and efficiency of SegFormer, a semantic segmentation framework, for the semantic segmentation of UAV images. SegFormer variants, ranging from real-time (B0) to high-performance (B5) models, are assessed using the UAVid dataset tailored for semantic segmentation tasks. The research details the architecture and training procedures specific to SegFormer in the context of UAV semantic segmentation. Experimental results showcase the model's performance on benchmark dataset, highlighting its ability to accurately delineate objects and land cover features in diverse UAV scenarios, leading to both high efficiency and performance.","url":"https://arxiv.org/abs/2410.01092v1","authors":["Vlatko Spasev","Ivica Dimitrovski","Ivan Chorbev","Ivan Kitanovski"],"tags":["cs.CV"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2024-10-01T21:40:15Z","addedAt":"2026-08-06T22:48:46.161Z"},{"id":"arxiv:1708.03269v2","name":"Routing Unmanned Vehicles in GPS-Denied Environments","source":"arxiv","abstract":"Most of the routing algorithms for unmanned vehicles, that arise in data gathering and monitoring applications in the literature, rely on the Global Positioning System (GPS) information for localization. However, disruption of GPS signals either intentionally or unintentionally could potentially render these algorithms not applicable. In this article, we present a novel method to address this difficulty by combining methods from cooperative localization and routing. In particular, the article formulates a fundamental combinatorial optimization problem to plan routes for an unmanned vehicle in a GPS-restricted environment while enabling localization for the vehicle. We also develop algorithms to compute optimal paths for the vehicle using the proposed formulation. Extensive simulation results are also presented to corroborate the effectiveness and performance of the proposed formulation and algorithms.","url":"https://arxiv.org/abs/1708.03269v2","authors":["Kaarthik Sundar","Sohum Misra","Sivakumar Rathinam","Rajnikant Sharma"],"tags":["cs.RO"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2017-08-10T15:44:18Z","addedAt":"2026-08-06T22:48:46.161Z"},{"id":"arxiv:1904.01167v1","name":"Multi-layer Unmanned Aerial Vehicle Networks: Modeling and Performance Analysis","source":"arxiv","abstract":"Since various types of unmanned aerial vehicles (UAVs) with different hardware capabilities are introduced, we establish a foundation for the multi-layer aerial network (MAN). First, the MAN is modeled as K layer ANs, and each layer has UAVs with different densities, floating altitudes, and transmission power. To make the framework applicable for various scenarios in MAN, we consider the transmitter- and the receiver-oriented node association rules as well as the air-to-ground and air-to-air channel models, which form line of sight links with a location-dependent probability. We then newly analyze the association probability, the main link distance distribution, successful transmission probability (STP), and area spectral efficiency (ASE) of MAN. The upper bounds of the optimal densities that maximize STP and ASE are also provided. Finally, in the numerical results, we show the optimal UAV densities of an AN that maximize the ASE and the STP decrease with the altitude of the network. We also show that when the total UAV density is fixed for two layer AN, the use of single layer in higher(lower) altitude only for all UAVs can achieve better performance for low(high) total density case, otherwise, distributing UAVs in two layers, i.e., MAN, achieves better performance.","url":"https://arxiv.org/abs/1904.01167v1","authors":["Dongsun Kim","Jemin Lee","Tony Q. S. Quek"],"tags":["eess.SP"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2019-04-02T01:50:26Z","addedAt":"2026-08-06T22:48:46.161Z"},{"id":"arxiv:1711.04936v3","name":"A Two-Stage Approach for Routing Multiple Unmanned Aerial Vehicles with Stochastic Fuel Consumption","source":"arxiv","abstract":"The past decade has seen a substantial increase in the use of small unmanned aerial vehicles (UAVs) in both civil and military applications. This article addresses an important aspect of refueling in the context of routing multiple small UAVs to complete a surveillance or data collection mission. Specifically, this article formulates a multiple-UAV routing problem with the refueling constraint of minimizing the overall fuel consumption for all of the vehicles as a two-stage stochastic optimization problem with uncertainty associated with the fuel consumption of each vehicle. The two-stage model allows for the application of sample average approximation (SAA). Although the SAA solution asymptotically converges to the optimal solution for the two-stage model, the SAA run time can be prohibitive for medium- and large-scale test instances. Hence, we develop a tabu-search-based heuristic that exploits the model structure while considering the uncertainty in fuel consumption. Extensive computational experiments corroborate the benefits of the two-stage model compared to a deterministic model and the effectiveness of the heuristic for obtaining high-quality solutions.","url":"https://arxiv.org/abs/1711.04936v3","authors":["Saravanan Venkatachalam","Kaarthik Sundar","Sivakumar Rathinam"],"tags":["math.OC"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2017-11-14T04:02:33Z","addedAt":"2026-08-06T22:48:46.161Z"},{"id":"arxiv:1906.08716v1","name":"Deep-Learning-Based Aerial Image Classification for Emergency Response Applications Using Unmanned Aerial Vehicles","source":"arxiv","abstract":"Unmanned Aerial Vehicles (UAVs), equipped with camera sensors can facilitate enhanced situational awareness for many emergency response and disaster management applications since they are capable of operating in remote and difficult to access areas. In addition, by utilizing an embedded platform and deep learning UAVs can autonomously monitor a disaster stricken area, analyze the image in real-time and alert in the presence of various calamities such as collapsed buildings, flood, or fire in order to faster mitigate their effects on the environment and on human population. To this end, this paper focuses on the automated aerial scene classification of disaster events from on-board a UAV. Specifically, a dedicated Aerial Image Database for Emergency Response (AIDER) applications is introduced and a comparative analysis of existing approaches is performed. Through this analysis a lightweight convolutional neural network (CNN) architecture is developed, capable of running efficiently on an embedded platform achieving ~3x higher performance compared to existing models with minimal memory requirements with less than 2% accuracy drop compared to the state-of-the-art. These preliminary results provide a solid basis for further experimentation towards real-time aerial image classification for emergency response applications using UAVs.","url":"https://arxiv.org/abs/1906.08716v1","authors":["Christos Kyrkou","Theocharis Theocharides"],"tags":["cs.CV","cs.RO"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2019-06-20T16:03:32Z","addedAt":"2026-08-06T22:48:46.161Z"},{"id":"arxiv:2001.11737v2","name":"AU-AIR: A Multi-modal Unmanned Aerial Vehicle Dataset for Low Altitude Traffic Surveillance","source":"arxiv","abstract":"Unmanned aerial vehicles (UAVs) with mounted cameras have the advantage of capturing aerial (bird-view) images. The availability of aerial visual data and the recent advances in object detection algorithms led the computer vision community to focus on object detection tasks on aerial images. As a result of this, several aerial datasets have been introduced, including visual data with object annotations. UAVs are used solely as flying-cameras in these datasets, discarding different data types regarding the flight (e.g., time, location, internal sensors). In this work, we propose a multi-purpose aerial dataset (AU-AIR) that has multi-modal sensor data (i.e., visual, time, location, altitude, IMU, velocity) collected in real-world outdoor environments. The AU-AIR dataset includes meta-data for extracted frames (i.e., bounding box annotations for traffic-related object category) from recorded RGB videos. Moreover, we emphasize the differences between natural and aerial images in the context of object detection task. For this end, we train and test mobile object detectors (including YOLOv3-Tiny and MobileNetv2-SSDLite) on the AU-AIR dataset, which are applicable for real-time object detection using on-board computers with UAVs. Since our dataset has diversity in recorded data types, it contributes to filling the gap between computer vision and robotics. The dataset is available at https://bozcani.github.io/auairdataset.","url":"https://arxiv.org/abs/2001.11737v2","authors":["Ilker Bozcan","Erdal Kayacan"],"tags":["cs.CV","cs.RO"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2020-01-31T09:45:12Z","addedAt":"2026-08-06T22:48:46.161Z"},{"id":"arxiv:1903.08154v2","name":"Impact of an Interfering Node on Unmanned Aerial Vehicle Communications","source":"arxiv","abstract":"Unlike terrestrial communications, unmanned aerial vehicle (UAV) communications have some advantages such as the line-of-sight (LoS) environment and flexible mobility. However, the interference will be still inevitable. In this paper, we analyze the effect of an interfering node on the UAV communications by considering the LoS probability and different channel fading for LoS and non-line-of-sight (NLoS) links, which are affected by the elevation angle of the communication link. We then derive a closed-form outage probability in the presence of an interfering node for all the possible scenarios and environments of main and interference links. After discussing the impacts of transmitting and interfering node parameters on the outage probability, we show the existence of the optimal height of the UAV that minimize the outage probability. We also show the NLoS environment can be better than the LoS environment if the average received power of the interference is more dominant than that of the transmitting signal on UAV communications. Finally, we analyze the outage probability for the case of multiple interfering nodes using stochastic geometry and the outage probability of the single interfering node case, and show the effect of the interfering node density on the optimal height of the UAV.","url":"https://arxiv.org/abs/1903.08154v2","authors":["Minsu Kim","Jemin Lee"],"tags":["eess.SP"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2019-03-19T05:25:59Z","addedAt":"2026-08-06T22:48:46.161Z"},{"id":"arxiv:2006.00369v1","name":"Thinging-Oriented Modeling of Unmanned Aerial Vehicles","source":"arxiv","abstract":"In recent years, there has been a dramatic increase in both practical and research applications of unmanned aerial vehicles (UAVs). According to the literature, there is a need in this area to develop a more refined model of UAV system architecture, in other words, a conceptual model that defines the system s structure and behavior. The existing models mostly are fractional and do not account for the entire important dynamic attributes. Progress in this area could reduce ambiguity and increase reliability in the design of such systems. This paper aims to advance the modeling of UAV system architecture by adopting a conceptual model called a thinging (abstract) machine in which all of the UAV s software and hardware components are viewed in terms of the flow of things and five generic operations. We apply this model to a real case study of a drone. The results, an integrated conceptual representation of the drone, support the viability of this approach.","url":"https://arxiv.org/abs/2006.00369v1","authors":["Sabah Al-Fedaghi","Jassim Al-Fadhli"],"tags":["cs.SE","cs.RO"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2020-05-30T21:21:11Z","addedAt":"2026-08-06T22:48:46.161Z"},{"id":"arxiv:1911.03929v2","name":"Positioning of Multiple Unmanned Aerial Vehicle Base Stations in future Wireless Network","source":"arxiv","abstract":"Unmanned aerial vehicle (UAV) base stations (BSs) are reliable and efficient alternative to full fill the coverage and capacity requirements when the backbone network fails to provide such requirements due to disasters. In this paper, we consider optimal UAV-deployment problem in 3D space for a mmWave network. The objective is to deploy multiple aerial BSs simultaneously to completely serve the ground users. We develop a novel algorithm to find the feasible positions for a set of UAV-BSs from a predefined set of locations, subject to a signal-to-interference-plus-noise ratio (SINR) constraint of every associated user, UAV-BS's limited hovering altitude constraint and restricted operating zone constraint. We cast this 3D positioning problem as an l_0 minimization problem. This is a combinatorial, NP-hard problem. We approximate the l_0 minimization problem as non-combinatorial l_1-norm problem. Therefore, we provide a suboptimal algorithm to find a set of feasible locations for the UAV-BSs to operate. The analysis shows that the proposed algorithm achieves a set of the location to deploy multiple UVA-BSs simultaneously while satisfying the constraints.","url":"https://arxiv.org/abs/1911.03929v2","authors":["Thushan Sivalingam","K. B. Shashika Manosha","Nandana Rajatheva","M. Latva-aho","Maheshi B. Dissanayake"],"tags":["eess.SP","math.OC"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2019-11-10T13:30:45Z","addedAt":"2026-08-06T22:48:46.161Z"},{"id":"arxiv:2101.08446v2","name":"All-Day Object Tracking for Unmanned Aerial Vehicle","source":"arxiv","abstract":"Visual object tracking, which is representing a major interest in image processing field, has facilitated numerous real world applications. Among them, equipping unmanned aerial vehicle (UAV) with real time robust visual trackers for all day aerial maneuver, is currently attracting incremental attention and has remarkably broadened the scope of applications of object tracking. However, prior tracking methods have merely focused on robust tracking in the well-illuminated scenes, while ignoring trackers' capabilities to be deployed in the dark. In darkness, the conditions can be more complex and harsh, easily posing inferior robust tracking or even tracking failure. To this end, this work proposed a novel discriminative correlation filter based tracker with illumination adaptive and anti dark capability, namely ADTrack. ADTrack firstly exploits image illuminance information to enable adaptability of the model to the given light condition. Then, by virtue of an efficient and effective image enhancer, ADTrack carries out image pretreatment, where a target aware mask is generated. Benefiting from the mask, ADTrack aims to solve a dual regression problem where dual filters, i.e., the context filter and target focused filter, are trained with mutual constraint. Thus ADTrack is able to maintain continuously favorable performance in all-day conditions. Besides, this work also constructed one UAV nighttime tracking benchmark UAVDark135, comprising of more than 125k manually annotated frames, which is also very first UAV nighttime tracking benchmark. Exhaustive experiments are extended on authoritative daytime benchmarks, i.e., UAV123 10fps, DTB70, and the newly built dark benchmark UAVDark135, which have validated the superiority of ADTrack in both bright and dark conditions on a single CPU.","url":"https://arxiv.org/abs/2101.08446v2","authors":["Bowen Li","Changhong Fu","Fangqiang Ding","Junjie Ye","Fuling Lin"],"tags":["cs.CV"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2021-01-21T05:12:37Z","addedAt":"2026-08-06T22:48:46.161Z"},{"id":"doi:10.21636/nfmc.nccrahs.youthwork.uav.g.2018","name":"Operating an Unmanned Aerial Vehicle","source":"crossref","abstract":"","url":"https://doi.org/10.21636/nfmc.nccrahs.youthwork.uav.g.2018","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2021-01-12T18:53:10Z","addedAt":"2026-08-06T22:48:46.161Z","doi":"10.21636/nfmc.nccrahs.youthwork.uav.g.2018","updatedAt":"2026-08-31T06:39:59.253Z"},{"id":"doi:10.1201/9780429425264-1","name":"Introduction to Unmanned Aerial Vehicle Systems Utilized in Agriculture","source":"crossref","abstract":"","url":"https://doi.org/10.1201/9780429425264-1","authors":["K. R. Krishna"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2019-12-17T06:59:59Z","addedAt":"2026-08-06T22:48:46.161Z","doi":"10.1201/9780429425264-1","updatedAt":"2026-08-31T06:39:59.253Z"},{"id":"doi:10.1201/9780429425264-2","name":"Fixed-Winged Unmanned Aerial Vehicle Systems Utilized in Agriculture","source":"crossref","abstract":"","url":"https://doi.org/10.1201/9780429425264-2","authors":["K. R. Krishna"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2019-12-17T11:59:59Z","addedAt":"2026-08-06T22:48:46.161Z","doi":"10.1201/9780429425264-2","updatedAt":"2026-08-31T06:39:59.253Z"},{"id":"doi:10.1201/9780429425264-3","name":"Helicopter and Multirotor Unmanned Aerial Vehicle Systems Utilized in Agriculture","source":"crossref","abstract":"","url":"https://doi.org/10.1201/9780429425264-3","authors":["K. R. Krishna"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2019-12-17T06:59:59Z","addedAt":"2026-08-06T22:48:46.161Z","doi":"10.1201/9780429425264-3","updatedAt":"2026-08-31T06:39:59.253Z"},{"id":"doi:10.1007/978-3-031-08395-2_13","name":"An Overview of Energy Consumption for Unmanned Aerial Vehicle Cellular Communications","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-031-08395-2_13","authors":["Vitalis Afebuame Iguoba"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2022-10-11T09:07:30Z","addedAt":"2026-08-06T22:48:46.161Z","doi":"10.1007/978-3-031-08395-2_13","updatedAt":"2026-08-31T06:39:59.253Z"},{"id":"doi:10.1201/9780429425264-6","name":"Applications of Unmanned Aerial Vehicle Systems in Agriculture: A Few Examples","source":"crossref","abstract":"","url":"https://doi.org/10.1201/9780429425264-6","authors":["K. R. Krishna"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2019-12-17T11:59:59Z","addedAt":"2026-08-06T22:48:46.161Z","doi":"10.1201/9780429425264-6","updatedAt":"2026-08-31T06:39:59.253Z"},{"id":"doi:10.1007/978-3-031-08395-2_10","name":"Unmanned Aerial Vehicle Cellular Communication Operating in Non-terrestrial Networks","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-031-08395-2_10","authors":["Promise Elechi","Kingsley Eyiogwu Onu"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2022-10-11T09:07:30Z","addedAt":"2026-08-06T22:48:46.161Z","doi":"10.1007/978-3-031-08395-2_10","updatedAt":"2026-08-31T06:39:59.253Z"},{"id":"doi:10.1007/978-3-030-27157-2_4","name":"Unmanned Aerial Vehicle (UAV) for Fertilizer Management in Grassland of Hokkaido, Japan","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-030-27157-2_4","authors":["Kanichiro Matsumura"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2019-11-18T11:02:02Z","addedAt":"2026-08-06T22:48:46.161Z","doi":"10.1007/978-3-030-27157-2_4","updatedAt":"2026-08-31T06:39:59.253Z"},{"id":"doi:10.2514/6.2003-6612","name":"Naval Air Systems Command (NAVAIR) Unmanned Aerial Vehicle (UAV) Unmanned Combat Aerial Vehicle (UCAV) Distributed Simulation Infrastructure","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2003-6612","authors":["Joe Twesme","Andy Corzine"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2012-12-18T23:54:54Z","addedAt":"2026-08-06T22:48:46.161Z","doi":"10.2514/6.2003-6612","updatedAt":"2026-08-31T06:39:59.253Z"},{"id":"doi:10.1201/9781315367378-9","name":"Unmanned Aerial Vehicle Dynamics and Lagrangian Methods","source":"crossref","abstract":"","url":"https://doi.org/10.1201/9781315367378-9","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2016-10-13T07:57:41Z","addedAt":"2026-08-06T22:48:46.161Z","doi":"10.1201/9781315367378-9","updatedAt":"2026-08-31T06:39:59.253Z"},{"id":"doi:10.1201/9781315371191-12","name":"UNMANNED AUTONOMOUS VEHICLE","source":"crossref","abstract":"","url":"https://doi.org/10.1201/9781315371191-12","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2020-12-25T04:06:37Z","addedAt":"2026-08-06T22:48:46.161Z","doi":"10.1201/9781315371191-12","updatedAt":"2026-08-31T06:39:59.253Z"},{"id":"doi:10.1201/9780429425264-5","name":"Sensors and Image Processing Computer Software Relevant to Unmanned Aerial Vehicle-Based Technology in Agriculture","source":"crossref","abstract":"","url":"https://doi.org/10.1201/9780429425264-5","authors":["K. R. Krishna"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2019-12-17T11:59:59Z","addedAt":"2026-08-06T22:48:46.161Z","doi":"10.1201/9780429425264-5","updatedAt":"2026-08-31T06:39:59.253Z"},{"id":"doi:10.37099/mtu.dc.etdr/470","name":"Position Control of an Unmanned Aerial Vehicle From a Mobile Ground Vehicle","source":"crossref","abstract":"","url":"https://doi.org/10.37099/mtu.dc.etdr/470","authors":["Astha Tiwari"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2020-12-10T17:48:46Z","addedAt":"2026-08-06T22:48:46.161Z","doi":"10.37099/mtu.dc.etdr/470","updatedAt":"2026-08-31T06:39:59.253Z"},{"id":"doi:10.21275/v4i11.nov151540","name":"Multi-Rotors: A Revolution In Unmanned Aerial Vehicle","source":"crossref","abstract":"","url":"https://doi.org/10.21275/v4i11.nov151540","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2016-04-28T11:43:26Z","addedAt":"2026-08-06T22:48:46.161Z","doi":"10.21275/v4i11.nov151540","updatedAt":"2026-08-31T06:39:59.253Z"},{"id":"doi:10.14264/uql.2017.236","name":"Unmanned aerial vehicle implementation in renewable energy applications","source":"crossref","abstract":"","url":"https://doi.org/10.14264/uql.2017.236","authors":["Edward Greenaway"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2017-02-21T02:36:40Z","addedAt":"2026-08-06T22:48:46.161Z","doi":"10.14264/uql.2017.236","updatedAt":"2026-08-31T06:39:59.253Z"},{"id":"doi:10.14264/69b8f75","name":"Flight Computer Design for Supersonic Unmanned Aerial Vehicle","source":"crossref","abstract":"","url":"https://doi.org/10.14264/69b8f75","authors":["Bor Slapnicar"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-05-20T04:46:33Z","addedAt":"2026-08-06T22:48:46.161Z","doi":"10.14264/69b8f75","updatedAt":"2026-08-31T06:39:59.253Z"},{"id":"doi:10.21884/ijmter.2017.4120.y54mr","name":"An Overview On Unmanned Aerial Vehicle","source":"crossref","abstract":"","url":"https://doi.org/10.21884/ijmter.2017.4120.y54mr","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2017-04-16T11:48:08Z","addedAt":"2026-08-06T22:48:46.161Z","doi":"10.21884/ijmter.2017.4120.y54mr","updatedAt":"2026-08-31T06:39:59.253Z"},{"id":"doi:10.33140/amlai.03.02.05","name":"Unmanned Aerial Vehicle Application in Mining User case in Rwanda","source":"crossref","abstract":"Drones have piqued the interest of the mining industry, which has expressed a strong interest in the usage of UAVs/drones for regular tasks Unmanned Aerial Vehicles(UAVs)/drones, sometimes known as Micro Air Vehicles (MAVs), are mostly drones that are used for a number of commercial and military applications, including surveillance and reconnaissance. These unmanned aerial vehicles (UAVs)/drones are capable of transporting of a wide range sensors depending on the nature of their missions, including acoustic, optical, biochemical, and bio sensors. In order to improve the performance and efficiency of drones/UAV, researchers have concentrated on the design optimization of drones, which has resulted in the creation and construction of a variety of Aerial Vehicles/drones with diverse abilities and capabilities. As a consequence, previous research as well as information from firms that supply drones for the mining industry are being explored further. An investigation of the application of drone/UAVs in surface and subsurface mines is presented in this research. The usage of drones/UAVs in abandoned mines, both on the surface and below, is also discussed. It also includes a thorough discussion of the instruments or sensors that are frequently used in mining drones. In this paper/article, we address the difficulties linked with the usage of drones technologies in underground mines, as well as potential solutions to these difficulties.","url":"https://doi.org/10.33140/amlai.03.02.05","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2022-11-29T15:02:00Z","addedAt":"2026-08-06T22:48:46.161Z","doi":"10.33140/amlai.03.02.05","updatedAt":"2026-08-31T06:39:59.253Z"},{"id":"doi:10.5772/6474","name":"Unmanned Aerial Vehicle Formation Flight Using Sliding Mode Disturbance Observers","source":"crossref","abstract":"","url":"https://doi.org/10.5772/6474","authors":["Galzi Damien"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2012-03-29T07:46:53Z","addedAt":"2026-08-06T22:48:46.161Z","doi":"10.5772/6474","updatedAt":"2026-08-31T06:39:59.253Z"},{"id":"doi:10.1007/978-3-030-27157-2_3","name":"Unmanned Aerial Vehicle (UAV)-Based Hyperspectral Imaging System for Precision Agriculture and Forest Management","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-030-27157-2_3","authors":["Junichi Kurihara","Tetsuro Ishida","Yukihiro Takahashi"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2019-11-18T11:02:02Z","addedAt":"2026-08-06T22:48:46.161Z","doi":"10.1007/978-3-030-27157-2_3","updatedAt":"2026-08-31T06:39:59.253Z"},{"id":"doi:10.31979/etd.wtda-f4gc","name":"Auto-Landing System for Fixed-Wing Unmanned Aerial Vehicle","source":"crossref","abstract":"","url":"https://doi.org/10.31979/etd.wtda-f4gc","authors":["Dan Dermer"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2021-02-24T18:45:17Z","addedAt":"2026-08-06T22:48:46.161Z","doi":"10.31979/etd.wtda-f4gc","updatedAt":"2026-08-31T06:39:59.254Z"},{"id":"doi:10.3990/1.9789036553032","name":"Unmanned Aerial Vehicle Mapping for Responsible Land Administration","source":"crossref","abstract":"","url":"https://doi.org/10.3990/1.9789036553032","authors":["Claudia Stöcker"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2021-11-03T10:23:54Z","addedAt":"2026-08-06T22:48:46.161Z","doi":"10.3990/1.9789036553032","updatedAt":"2026-08-31T06:39:59.254Z"},{"id":"doi:10.22215/etd/2005-08137","name":"Intelligent agent control of an unmanned aerial vehicle","source":"crossref","abstract":"","url":"https://doi.org/10.22215/etd/2005-08137","authors":["J. Carryer"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2018-10-04T20:15:19Z","addedAt":"2026-08-06T22:48:46.161Z","doi":"10.22215/etd/2005-08137","updatedAt":"2026-08-31T06:39:59.254Z"},{"id":"doi:10.31979/etd.2nzx-arxy","name":"Design of a Small Solar-Powered Unmanned Aerial Vehicle","source":"crossref","abstract":"","url":"https://doi.org/10.31979/etd.2nzx-arxy","authors":["Christopher Hartney"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2019-05-03T16:02:50Z","addedAt":"2026-08-06T22:48:46.161Z","doi":"10.31979/etd.2nzx-arxy","updatedAt":"2026-08-31T06:39:59.254Z"},{"id":"doi:10.1007/978-3-030-27157-2_13","name":"Application of Unmanned Aerial Vehicle (UAV) for Urban Green Space Mapping in Urbanizing Indian Cities","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-030-27157-2_13","authors":["Shruti Lahoti","Ashish Lahoti","Osamu Saito"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2019-11-18T06:02:02Z","addedAt":"2026-08-06T22:48:46.161Z","doi":"10.1007/978-3-030-27157-2_13","updatedAt":"2026-08-31T06:39:59.254Z"},{"id":"doi:10.14264/ffb8a54","name":"Aerodynamic Computational Fluid Dynamic Analysis of Unmanned Aerial Vehicle","source":"crossref","abstract":"","url":"https://doi.org/10.14264/ffb8a54","authors":["Suman Gc"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2021-07-16T03:30:27Z","addedAt":"2026-08-06T22:48:46.161Z","doi":"10.14264/ffb8a54","updatedAt":"2026-08-31T06:39:59.254Z"},{"id":"doi:10.1016/b978-0-443-45573-5.00002-1","name":"Intent-based unmanned aerial vehicle control: enabling unmanned aerial vehicle autonomy through large language model-based digital twin control","source":"crossref","abstract":"","url":"https://doi.org/10.1016/b978-0-443-45573-5.00002-1","authors":["Hediye Orhan","Esma Nisa Candan","Alperen Eroğlu","Hüseyin Haklı"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-05-29T12:11:31Z","addedAt":"2026-08-06T22:48:46.161Z","doi":"10.1016/b978-0-443-45573-5.00002-1","updatedAt":"2026-08-31T06:39:59.254Z"},{"id":"doi:10.3990/1.9789036546355","name":"Unmanned aerial vehicle mapping for settlement upgrading","source":"crossref","abstract":"","url":"https://doi.org/10.3990/1.9789036546355","authors":["Caroline Margaux Gevaert"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2018-09-18T08:04:40Z","addedAt":"2026-08-06T22:48:46.161Z","doi":"10.3990/1.9789036546355","updatedAt":"2026-08-31T06:39:59.254Z"},{"id":"doi:10.2514/6.2010-3368","name":"Unmanned Aerial Vehicle and Unmanned Ground Vehicle Distributed Mapping","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2010-3368","authors":["Gregory Sinsley","Lyle Long"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2013-11-22T21:57:26Z","addedAt":"2026-08-06T22:48:46.161Z","doi":"10.2514/6.2010-3368","updatedAt":"2026-08-31T06:39:59.254Z"},{"id":"doi:10.32657/10356/146991","name":"Stochastic optimisation of unmanned aerial vehicle assisted package delivery planning","source":"crossref","abstract":"","url":"https://doi.org/10.32657/10356/146991","authors":["Suttinee Sawadsitang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2021-04-19T14:57:03Z","addedAt":"2026-08-06T22:48:46.161Z","doi":"10.32657/10356/146991","updatedAt":"2026-08-31T06:39:59.254Z"},{"id":"doi:10.1515/9783111619323-018","name":"45118 Integration of Quantum Genetic Heuristics to Optimize Unmanned Aerial Vehicle (UAV) Navigational Path","source":"crossref","abstract":"","url":"https://doi.org/10.1515/9783111619323-018","authors":["Gurwinder Singh","Preet Kamal"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-08-04T11:29:17Z","addedAt":"2026-08-06T22:48:46.161Z","doi":"10.1515/9783111619323-018","updatedAt":"2026-08-31T06:39:59.253Z"},{"id":"doi:10.21275/v4i11.nov151216","name":"Design and Fluid Flow Analysis of Unmanned Aerial Vehicle (UAV)","source":"crossref","abstract":"","url":"https://doi.org/10.21275/v4i11.nov151216","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2016-04-28T11:43:26Z","addedAt":"2026-08-06T22:48:46.161Z","doi":"10.21275/v4i11.nov151216","updatedAt":"2026-08-31T06:39:59.254Z"},{"id":"doi:10.1109/apuavd.2017.8308816","name":"Discriminant analysis of signal of X4 unmanned aerial vehicle","source":"crossref","abstract":"","url":"https://doi.org/10.1109/apuavd.2017.8308816","authors":["Marzena Miesikowska"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2018-03-08T16:32:37Z","addedAt":"2026-08-06T22:48:46.161Z","doi":"10.1109/apuavd.2017.8308816","updatedAt":"2026-08-31T06:39:59.254Z"},{"id":"doi:10.1515/9783111619323-020","name":"48720 Ethical and Regulatory Aspects of Quantum-Enhanced Unmanned Aerial Vehicle (UAV) Safety","source":"crossref","abstract":"","url":"https://doi.org/10.1515/9783111619323-020","authors":["Bhupinder Singh","Hemant Kumar Saini"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-08-04T11:29:17Z","addedAt":"2026-08-06T22:48:46.161Z","doi":"10.1515/9783111619323-020","updatedAt":"2026-08-31T06:39:59.253Z"},{"id":"doi:10.47749/t/unicamp.2025.1530174","name":"Offline reinforcement learning for unmanned aerial vehicle control","source":"crossref","abstract":"","url":"https://doi.org/10.47749/t/unicamp.2025.1530174","authors":["Rafael Figueiredo Prudencio"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-04-10T19:26:10Z","addedAt":"2026-08-06T22:48:46.161Z","doi":"10.47749/t/unicamp.2025.1530174","updatedAt":"2026-08-31T06:39:59.254Z"},{"id":"doi:10.21636/nfmc.nccrahs.youthwork.drones.g.2018","name":"Work Guidelines - Operating an Unmanned Aerial Vehicle (UAV or Drone)","source":"crossref","abstract":"","url":"https://doi.org/10.21636/nfmc.nccrahs.youthwork.drones.g.2018","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2018-02-27T17:18:21Z","addedAt":"2026-08-06T22:48:46.161Z","doi":"10.21636/nfmc.nccrahs.youthwork.drones.g.2018","updatedAt":"2026-08-31T06:39:59.254Z"},{"id":"doi:10.18535/ijecs/v5i6.05","name":"Unmanned Aerial Vehicle (DRONE)","source":"crossref","abstract":"","url":"https://doi.org/10.18535/ijecs/v5i6.05","authors":["Priyanka Kumari","Isha Raghunath"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2016-05-30T04:38:45Z","addedAt":"2026-08-06T22:48:46.161Z","doi":"10.18535/ijecs/v5i6.05","updatedAt":"2026-08-31T06:39:59.254Z"},{"id":"doi:10.5220/0006186701530158","name":"DM-UAV: Dexterous Manipulation Unmanned Aerial Vehicle","source":"crossref","abstract":"","url":"https://doi.org/10.5220/0006186701530158","authors":["Alberto Torres","Francisco Candelas","Damian Mira","Fernando Torres"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2017-03-09T15:38:14Z","addedAt":"2026-08-06T22:48:46.161Z","doi":"10.5220/0006186701530158","updatedAt":"2026-08-31T06:39:59.254Z"},{"id":"doi:10.32657/10356/66721","name":"Ship deck landing of multi-rotor unmanned aerial vehicle","source":"crossref","abstract":"","url":"https://doi.org/10.32657/10356/66721","authors":["Chun Kiat Tan"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2019-10-03T00:35:11Z","addedAt":"2026-08-06T22:48:46.161Z","doi":"10.32657/10356/66721","updatedAt":"2026-08-31T06:39:59.254Z"},{"id":"doi:10.1007/978-3-030-27157-2_8","name":"Unmanned Aerial Vehicle System (UAVS) Applications in Forestry and Plantation Operations: Experiences in Sabah and Sarawak, Malaysian Borneo","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-030-27157-2_8","authors":["Stanley Anak Suab","Ram Avtar"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2019-11-18T11:02:02Z","addedAt":"2026-08-06T22:48:46.161Z","doi":"10.1007/978-3-030-27157-2_8","updatedAt":"2026-08-31T06:39:59.254Z"},{"id":"doi:10.7717/peerj.9087/fig-3","name":"Figure 3: (A) M600 unmanned aerial vehicle; (B) micro-MCA multispectral sensor.","source":"crossref","abstract":"","url":"https://doi.org/10.7717/peerj.9087/fig-3","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2020-04-28T04:24:26Z","addedAt":"2026-08-06T22:48:46.161Z","doi":"10.7717/peerj.9087/fig-3","updatedAt":"2026-08-31T06:39:59.254Z"},{"id":"doi:10.1201/9780429425264-4","name":"Parachutes, Blimps, Balloons, and Kites as Unmanned Aerial Vehicles Useful in Agriculture","source":"crossref","abstract":"","url":"https://doi.org/10.1201/9780429425264-4","authors":["K. R. Krishna"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2019-12-17T11:59:59Z","addedAt":"2026-08-06T22:48:46.161Z","doi":"10.1201/9780429425264-4","updatedAt":"2026-08-31T06:39:59.254Z"},{"id":"doi:10.1007/978-3-031-08395-2_12","name":"Evolution and Significance of Unmanned Aerial Vehicles","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-031-08395-2_12","authors":["S. Jayanthi","H. Shaheen","U. Balashivudu","Meesala Shobha Rani"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2022-10-11T09:07:30Z","addedAt":"2026-08-06T22:48:46.161Z","doi":"10.1007/978-3-031-08395-2_12","updatedAt":"2026-08-31T06:39:59.254Z"},{"id":"doi:10.1002/gj.4763/v1/review2","name":"Review for \"Unmanned aerial vehicle navigation in underground structure inspection: A review\"","source":"crossref","abstract":"","url":"https://doi.org/10.1002/gj.4763/v1/review2","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-05-23T17:01:20Z","addedAt":"2026-08-06T22:48:46.161Z","doi":"10.1002/gj.4763/v1/review2","updatedAt":"2026-08-31T06:39:59.254Z"},{"id":"doi:10.51534/tiha.1199782","name":"Rusya Federasyonu’nun İnsansız Hava Aracı/Silahlı İnsansız Hava Aracı Kabiliyetlerinin Değerlendirilmesi","source":"crossref","abstract":"Bu çalışma Rusya Federasyonu’nun (RF); insansız hava aracı (İHA)/silahlı insansız hava aracı (SİHA) sistemleri imkân ve kabiliyetlerini, İHA/SİHA sistemleri geliştirme sürecini ve mevcut İHA/SİHA kabiliyetlerini askeri harekâtlarında nasıl kullandığını ortaya çıkarmayı amaçlamaktadır. Çalışmanın temel iddiası RF’nin uzun menzilli ve orta/yüksek irtifa İHA/SİHA sistemlerinde ileri seviyede bulunmadığı, ancak bahse konu yetenek eksikliklerini kısa sürede gidermek maksadıyla çeşitli politikalar izlediğidir. RF askeri güç parametreleri göz önüne alındığında genel olarak her alanda dünyanın önde gelen ülkeleri arasında bulunmaktadır. Ancak RF’nin İHA ve SİHA sistemleri imkân ve kabiliyetleri bu durumun istisnasını oluşturmaktadır. RF, 1990’lı ve 2000’li yıllarda İHA/SİHA sistemlerine çeşitli nedenlerle görece ilgisiz kalmıştır. Bu nedenle günümüzde İHA/SİHA sistemlerinin muharebe sahasında yarattığı kuvvet çarpanı etkisinden yeterince yararlanamamaktadır. Taktik İHA sistemlerinde belirli bir seviyede bulunan RF, uzun menzilli, orta ve yüksek irtifa İHA/SİHA sistemlerine ihtiyaç duymaktadır. Bu kapsamda 2010’lu yıllarda başlatılan projeler, son yıllarda hız kazanmıştır. RF günümüzde İHA/SİHA’lara yönelik acil ihtiyaçlarını kendi imkânlarıyla karşılamaya çalışmakta, mümkün olmadığı takdirde ise İran gibi ülkelerden tedarik etmeye çalışmaktadır. RF, planlanan İHA/SİHA projelerini gerçekleştirebilmesi durumunda yakın dönemde önemli bir İHA/SİHA üreticisi ve kullanıcısı durumuna gelecektir. Bu konuda Moskova’yı en fazla zorlayan husus ise Ukrayna nedeniyle ABD ve Batılı ülkelerin RF’ye uyguladıkları yaptırımlardır.","url":"https://doi.org/10.51534/tiha.1199782","authors":["Ahmet SAPMAZ"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-03-28T23:27:03Z","addedAt":"2026-08-06T22:48:46.161Z","doi":"10.51534/tiha.1199782","updatedAt":"2026-08-31T06:39:59.254Z"},{"id":"doi:10.1007/978-90-481-9707-1_81","name":"Information-Theoretic Exploration of Unmanned Aerial Vehicle in Unknown Cluttered Environment","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-90-481-9707-1_81","authors":["Kwangjin Yang","Seng Keat Gan","Salah Sukkarieh"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2014-08-15T09:54:03Z","addedAt":"2026-08-06T22:48:46.161Z","doi":"10.1007/978-90-481-9707-1_81","updatedAt":"2026-08-31T06:39:59.254Z"},{"id":"doi:10.36227/techrxiv.12053733","name":"An Unmanned Aerial Vehicle for Parking Slot Availability","source":"crossref","abstract":"This is a research project which uses computer vision techniques to find out the empty parking spaces in any given Parking lot. It uses existing functions from OpenCV library in Python programming language to extract the parking lines from an image.","url":"https://doi.org/10.36227/techrxiv.12053733","authors":["Anil Mallidi","Sabah Mohammed"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2020-04-01T16:00:50Z","addedAt":"2026-08-06T22:48:46.161Z","doi":"10.36227/techrxiv.12053733","updatedAt":"2026-08-31T06:39:59.254Z"},{"id":"doi:10.32920/ryerson.14637360","name":"Estimation and control of a manipulating unmanned aerial vehicle","source":"crossref","abstract":"A Manipulating Unmanned Aerial Vehicle (MUAV) is an aerial platform equipped with a mechanism to physically interact with its environment. The interaction is realized by means of robotic arm(s), vehicle body or suspension cable(s) and enables a wide range of novel applications including perching, grasping, pick–and–place, load transportation, etc. However, this is a challenging task as MUAVs are inherently unstable platforms with highly nonlinear and coupled dynamics, often associated with moving parts that result in complex modelling, estimation and control problems. This thesis deals with the problem of estimation and control of MUAVs. First, a comprehensive literature survey covering various aspects of MUAVs such as those related to modelling, estimation and control is presented. In the first approach for MUAV state estimation and control, effects of robotic manipulator on Unmanned Aerial Vehicle (UAV) dynamic equations of motion is treated by adding process noise with unknown noise statistics to conventional UAV dynamic model. With that in mind, state estimating and control of a UAV by means of conventional Kalman filters and their adaptive counterparts are formulated. Having designed Linear Quadratic Regulator (LQR) laws, it is shown that adaptive Kalman filters provide accurate satisfactory estimation and overall control of a UAV, even with simultaneous uncertain process and measurement noise statistics. Next, in order to improve the estimation and overall control performance of the previous approach, full nonlinear and coupled dynamic modelling of a MUAV based on Euler–Lagrange formulation is presented. Then, a General Unscented Kalman Filter (GUKF) is proposed to accomplish full state estimation of a MUAV, along with LQR control laws. Finally, in order to improve the execution time of GUKF, a computationally–efficient UKF known as Scaled Spherical UKF (SSUKF) with estimation and overall control performance comparable to GUKF is formulated. It is shown that both UKF–based algorithms result in satisfactory estimation and setpoint/trajectory tracking of quadcopter UAV and its robotic manipulator, even in scenarios with increased noise level and a period of total outage of sensory data.","url":"https://doi.org/10.32920/ryerson.14637360","authors":["Hossein Bonyan Khamseh"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2021-05-21T13:05:46Z","addedAt":"2026-08-06T22:48:46.161Z","doi":"10.32920/ryerson.14637360","updatedAt":"2026-08-31T06:39:59.254Z"},{"id":"doi:10.22215/etd/2015-10769","name":"Obstacle Detection Using Monocular Camera for Low Flying Unmanned Aerial Vehicle","source":"crossref","abstract":"","url":"https://doi.org/10.22215/etd/2015-10769","authors":["Fan Zhang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2018-10-04T20:16:05Z","addedAt":"2026-08-06T22:48:46.161Z","doi":"10.22215/etd/2015-10769","updatedAt":"2026-08-31T06:39:59.254Z"},{"id":"doi:10.21236/ada381737","name":"Unmanned Aerial Vehicle: A Tool for the Operational Commander","source":"crossref","abstract":"","url":"https://doi.org/10.21236/ada381737","authors":["Chatry D. Perry"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2017-08-25T13:33:42Z","addedAt":"2026-08-06T22:48:46.161Z","doi":"10.21236/ada381737","updatedAt":"2026-08-31T06:39:59.254Z"},{"id":"doi:10.36227/techrxiv.172296783.30458380/v1","name":"Security of Unmanned Aerial Vehicle Systems through Advanced Penetration Testing","source":"crossref","abstract":"Unmanned Aerial Vehicles (UAVs) are pivotal in various applications, yet their widespread use exposes them to significant cybersecurity threats, including cyber, physical, and hybrid attacks. This paper presents a comprehensive review of current research and advancements in UAV cybersecurity. Key vulnerabilities such as GPS spoofing, jamming, malware, and physical attacks are discussed, highlighting their potential impact on UAV operations and data security. The review identifies innovative defense strategies and frameworks proposed to mitigate these threats, including advanced penetration testing techniques, dynamic defense frameworks, and algorithms like Stackelberg games and swarm intelligence. Addressing specific research questions, the paper explores recent advancements in the use of advanced penetration testing techniques to enhance UAV security, evaluates the effectiveness of penetration testing methodologies across different UAV components, and analyzes challenges associated with conducting such tests and potential mitigation strategies. Furthermore, the paper discusses future directions in UAV cybersecurity, emphasizing the integration of emerging technologies such as quantum computing resilience, adaptive defense mechanisms, and secure software-defined networking (SDN). These advancements aim to bolster UAV defenses, ensuring robust protection against current and future cybersecurity challenges in dynamic and hostile operational environments.","url":"https://doi.org/10.36227/techrxiv.172296783.30458380/v1","authors":["Shehryar Malik"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-08-06T14:10:38Z","addedAt":"2026-08-06T22:48:46.161Z","doi":"10.36227/techrxiv.172296783.30458380/v1","updatedAt":"2026-08-31T06:39:59.254Z"},{"id":"doi:10.15760/etd.5259","name":"Unmanned Aerial Vehicle Based Structure from Motion Biomass Inventory Estimates","source":"crossref","abstract":"","url":"https://doi.org/10.15760/etd.5259","authors":["Emily Bedell"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2018-01-10T18:24:05Z","addedAt":"2026-08-06T22:48:46.161Z","doi":"10.15760/etd.5259","updatedAt":"2026-08-31T06:39:59.254Z"},{"id":"doi:10.1299/jsmetokai.2017.66.322","name":"Application of Battery Information to Effective Unmanned Aerial Vehicle Control","source":"crossref","abstract":"","url":"https://doi.org/10.1299/jsmetokai.2017.66.322","authors":["Koya KUWAMURA","Susumu HARA"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2017-06-18T19:57:54Z","addedAt":"2026-08-06T22:48:46.161Z","doi":"10.1299/jsmetokai.2017.66.322","updatedAt":"2026-08-31T06:39:59.254Z"},{"id":"doi:10.58837/chula.the.2014.1504","name":"A DESIGN AND DEVELOPMENT OF CAMERA CONTROLLER AND DATA LOGGER IN UNMANNED AERIAL VEHICLE (UAV) FOR AERIAL MAPPING","source":"crossref","abstract":"Generally, an aerial mapping requires image with good quality such as clear image, nearly vertical image, including more overlapping image, as well as constant interior orientation, exterior orientation parameters and ground control point (GCP), all of which are necessary for image processing to generate the orthophoto map. Therefore the control of imaging and data logging system are important and very useful. However, these kind of systems are generally not supported in UAV platform. This research will present the designing and creating of 2-axis brushless gimbal (camera controller), including the development of data logger for using in unmanned aerial vehicle (UAV) platform, particularly multi-rotor UAV (or Drone). Which these developed tools will be used in order to control and stabilize a camera for vertical imaging to get a nearly vertical image, as well as data logging of exterior orientation parameters for digital image processing and georeferencing in aerial mapping. The prototype of 2-axis brushless gimbal is capable of rotating around X-axis (roll) and Y-axis (pitch) in a range of maximum at -45º to 45º by using Brushless DC (BLDC) motor, which helps the camera stabilize smoothly. The results of the experiment shows better quality of images that are derived from developed 2-axis brushless gimbal and data logger. Images were tilted in range of -1.889º to 2.099º and -1.247º to 1.625º of roll and pitch angles respectively. In addition, all exterior orientation parameters of each image can also be recorded to facilitate aerial mapping processing.","url":"https://doi.org/10.58837/chula.the.2014.1504","authors":["Santisouk Kongkeo"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-03-19T23:27:49Z","addedAt":"2026-08-06T22:48:46.161Z","doi":"10.58837/chula.the.2014.1504","updatedAt":"2026-08-31T06:39:59.254Z"},{"id":"doi:10.1109/apuavd.2017.8308768","name":"Unmanned aerial vehicle integrated navigation complex with adaptive tuning","source":"crossref","abstract":"","url":"https://doi.org/10.1109/apuavd.2017.8308768","authors":["F. Zakharin","S. Ponomarenko"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2018-03-08T16:32:37Z","addedAt":"2026-08-06T22:48:46.161Z","doi":"10.1109/apuavd.2017.8308768","updatedAt":"2026-08-31T06:39:59.254Z"},{"id":"doi:10.1109/apuavd47061.2019.8943872","name":"Control Loops Synthesis of a Supersonic Unmanned Aerial Vehicle","source":"crossref","abstract":"","url":"https://doi.org/10.1109/apuavd47061.2019.8943872","authors":["Vitalii Burnashev","Aleksandr Zbrutsky"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2020-01-03T01:11:58Z","addedAt":"2026-08-06T22:48:46.161Z","doi":"10.1109/apuavd47061.2019.8943872","updatedAt":"2026-08-31T06:39:59.254Z"},{"id":"doi:10.4271/epr2020008","name":"Unsettled Topics in Unmanned Aerial Vehicle Icing","source":"crossref","abstract":"&lt;div class=\"section abstract\"&gt;&lt;div class=\"htmlview paragraph\"&gt;Unmanned aerial vehicles (UAVs) are an emerging technology with a large variety of commercial and military applications. In-flight icing occurs during flight in supercooled clouds or freezing precipitation and is a potential hazard to all aircraft. In-flight icing on UAVs imposes a major limitation on the operational envelope. This report describes the unsettled topics related to UAV icing. First, typical UAV applications and the general hazards of icing are described. Second, an overview of the special technical characteristics of icing on autonomous and unmanned aircraft is given. Third, the operational challenges for flight in icing conditions are discussed. Fourth, technologies for ice protection that mitigate the icing hazard are introduced. Fifth, the tools and methods required to understand UAV icing and to develop aircraft with cold-weather capabilities are presented. Finally, an assessment of the current and future regulations regarding icing on UAVs is provided.&lt;/div&gt;&lt;div class=\"htmlview paragraph\"&gt;Icing is a key challenge that the UAV industry needs to address in order to unlock the full potential of this emerging technology. UAVs must be capable of safe and reliable operation in a wide range of weather conditions. This report outlines the most important challenges and gives short- and long-term recommendations on how to solve UAV icing issues.&lt;/div&gt;&lt;div class=\"htmlview paragraph\"&gt;NOTE: SAE EDGE™ Research Reports are intended to identify and illuminate key issues in emerging, but still unsettled, technologies of interest to the mobility industry. The goal of SAE EDGE™ Research Reports is to stimulate discussion and work in the hope of promoting and speeding resolution of identified issues. SAE EDGE™ Research Reports are not intended to resolve the challenges they identify or close any topic to further scrutiny.&lt;/div&gt;&lt;div class=\"htmlview paragraph\"&gt;&lt;a href=\"https://www.sae.org/publications/edge-research-reports\" target=\"_blank\"&gt;Click here to access the full SAE EDGE&lt;/a&gt;&lt;sup&gt;TM&lt;/sup&gt;&lt;a href=\"https://www.sae.org/publications/edge-research-reports\" target=\"_blank\"&gt; Research Report portfolio.&lt;/a&gt;&lt;/div&gt;&lt;/div&gt;","url":"https://doi.org/10.4271/epr2020008","authors":["Richard Hann","Tor A. Johansen"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2020-05-19T16:28:06Z","addedAt":"2026-08-06T22:48:46.161Z","doi":"10.4271/epr2020008","updatedAt":"2026-08-31T06:39:59.254Z"},{"id":"doi:10.1007/978-3-030-27157-2_2","name":"Precision Agriculture and Unmanned Aerial Vehicles (UAVs)","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-030-27157-2_2","authors":["Rahul Raj","Soumyashree Kar","Rohit Nandan","Adinarayana Jagarlapudi"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2019-11-18T06:02:02Z","addedAt":"2026-08-06T22:48:46.161Z","doi":"10.1007/978-3-030-27157-2_2","updatedAt":"2026-08-31T06:39:59.254Z"},{"id":"doi:10.13031/aim.20162461157","name":"Unmanned Aerial Vehicle (UAV) assisted water sampling","source":"crossref","abstract":"","url":"https://doi.org/10.13031/aim.20162461157","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2016-10-07T13:39:06Z","addedAt":"2026-08-06T22:48:46.161Z","doi":"10.13031/aim.20162461157","updatedAt":"2026-08-31T06:39:59.254Z"},{"id":"doi:10.1109/icdiime59043.2023.00075","name":"Application of Unmanned Aerial Vehicle Image Denoising Based on FPGA in Unmanned Aerial Vehicle Tilt Photography Assisted Intelligent Construction Site Management","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icdiime59043.2023.00075","authors":["Yufang Wang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-08-31T17:30:35Z","addedAt":"2026-08-06T22:48:46.161Z","doi":"10.1109/icdiime59043.2023.00075","updatedAt":"2026-08-31T06:39:59.254Z"},{"id":"doi:10.1007/978-1-4020-9137-7_17","name":"Testing Unmanned Aerial Vehicle Missions in a Scaled Environment","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-1-4020-9137-7_17","authors":["Keith Sevcik","Paul Oh"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2008-12-19T02:01:49Z","addedAt":"2026-08-06T22:48:46.161Z","doi":"10.1007/978-1-4020-9137-7_17","updatedAt":"2026-08-31T06:39:59.254Z"},{"id":"doi:10.5220/0010789700003167","name":"Unmanned Aerial Vehicle Attack Detection using Snort","source":"crossref","abstract":"","url":"https://doi.org/10.5220/0010789700003167","authors":["Shahzad Mujeeb","Sunil Kumar Chowdhary","Abhishek Srivastava","Rana Majumdar","Manoj Kumar"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2022-08-03T10:48:51Z","addedAt":"2026-08-06T22:48:46.161Z","doi":"10.5220/0010789700003167","updatedAt":"2026-08-31T06:39:59.254Z"},{"id":"doi:10.21236/ada471992","name":"A Collaboration Network for Unmanned Aerial Vehicle Operation, Research and Education","source":"crossref","abstract":"","url":"https://doi.org/10.21236/ada471992","authors":["Al White"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2017-07-14T17:48:06Z","addedAt":"2026-08-06T22:48:46.161Z","doi":"10.21236/ada471992","updatedAt":"2026-08-31T06:39:59.254Z"},{"id":"doi:10.1002/stc.1831","name":"Bridge related damage quantification using unmanned aerial vehicle imagery","source":"crossref","abstract":"","url":"https://doi.org/10.1002/stc.1831","authors":["A. Ellenberg","A. Kontsos","F. Moon","I. Bartoli"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2016-01-20T09:16:39Z","addedAt":"2026-08-06T22:48:46.161Z","doi":"10.1002/stc.1831","updatedAt":"2026-08-31T06:39:59.254Z"},{"id":"doi:10.3390/electronics12163438","name":"Joint Unmanned Aerial Vehicle Location and Beamforming and Caching Optimization for Cache-Enabled Multi-Unmanned-Aerial-Vehicle Networks","source":"crossref","abstract":"Due to the advantages such as high flexibility, low cost and easy implementation offered by unmanned aerial vehicles (UAVs), a UAV-assisted network is regard as an appealing solution to a seamless coverage, high disaster-tolerant and on-demand wireless system. In this paper, we focus on the downlink transmission in a cache-enabled UAV-assisted wireless communication network, where UAVs cache popular content from a macro base station in advance and cooperatively transfer the content to users. We aim to minimize the average transmission latency of the system and to formulate an optimization problem that jointly optimizes the UAV location, beamforming and caching strategy. However, the formulated problem is very challenging because of its non-convexity and the highly coupled optimization variables. To solve this resulting problem efficiently, we decompose it into two subproblems, namely UAV location and beamforming optimization, and UAV caching strategy optimization. The first subproblem is an NP-hard joint optimization problem, while the second one is a linear programing problem. By adopting the first-order Taylor expansion, we propose a convex optimization algorithm based on the difference-of-convex (DC) method. Specifically, we bring out a method to apply linear approximation in the DC-based algorithm, which is particularly suitable to the problems involving complicated summations. The numerical results demonstrate that the proposed DC-based iterative optimization algorithm can efficiently reduce the average transmission latency of the system.","url":"https://doi.org/10.3390/electronics12163438","authors":["Zikang Chen","Ming Zeng","Zesong Fei"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-08-14T10:28:13Z","addedAt":"2026-08-06T22:48:46.161Z","doi":"10.3390/electronics12163438","updatedAt":"2026-08-31T06:39:59.254Z"},{"id":"doi:10.5373/jardcs/v12i7/20202025","name":"Decentralized 3D Collision Avoidance System for Unmanned Aerial Vehicle (UAV)","source":"crossref","abstract":"","url":"https://doi.org/10.5373/jardcs/v12i7/20202025","authors":["Fakroul Ridzuan Hashim"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2020-07-25T12:05:22Z","addedAt":"2026-08-06T22:48:46.161Z","doi":"10.5373/jardcs/v12i7/20202025","updatedAt":"2026-08-31T06:39:59.254Z"},{"id":"doi:10.1007/978-3-319-16417-5_4","name":"Estimation of Unmanned Aerial Vehicle Dynamics","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-319-16417-5_4","authors":["Chingiz Hajiyev","Halil Ersin Soken","Sıtkı Yenal Vural"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2015-06-11T04:41:49Z","addedAt":"2026-08-06T22:48:46.161Z","doi":"10.1007/978-3-319-16417-5_4","updatedAt":"2026-08-31T06:39:59.254Z"},{"id":"doi:10.1007/978-3-031-08395-2_8","name":"Unmanned Aerial Vehicle-Assisted Reconfigurable Intelligent Surface for Energy Efficient and Reliable Communication","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-031-08395-2_8","authors":["Vinoth Babu Kumaravelu","Hindavi Kishor Jadhav","Anjana B. S.","Vishnu Vardhan Gudla","Arthi Murugadass","Agbotiname Lucky Imoize"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2022-10-11T09:07:30Z","addedAt":"2026-08-06T22:48:46.161Z","doi":"10.1007/978-3-031-08395-2_8","updatedAt":"2026-08-31T06:39:59.254Z"},{"id":"doi:10.11606/d.55.2021.tde-23062021-125834","name":"Resilient architecture to dynamically manage unmanned aerial vehicle networks under attack","source":"crossref","abstract":"","url":"https://doi.org/10.11606/d.55.2021.tde-23062021-125834","authors":["Isadora Garcia Ferrão"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2021-06-23T16:03:07Z","addedAt":"2026-08-06T22:48:46.161Z","doi":"10.11606/d.55.2021.tde-23062021-125834","updatedAt":"2026-08-31T06:39:59.254Z"},{"id":"doi:10.17816/hmj643443-4364281","name":"Fig. 1. Problems faced by recovery units during combat missions. БПЛА, unmanned aerial vehicle.","source":"crossref","abstract":"","url":"https://doi.org/10.17816/hmj643443-4364281","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-08-08T01:10:23Z","addedAt":"2026-08-06T22:48:46.161Z","doi":"10.17816/hmj643443-4364281","updatedAt":"2026-08-31T06:39:59.254Z"},{"id":"doi:10.22215/etd/2014-10131","name":"Development and Testing of a Simulation Environment for an Unmanned Aerial Vehicle","source":"crossref","abstract":"","url":"https://doi.org/10.22215/etd/2014-10131","authors":["Shashank Sunil"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2018-10-04T20:16:05Z","addedAt":"2026-08-06T22:48:46.161Z","doi":"10.22215/etd/2014-10131","updatedAt":"2026-08-31T06:39:59.254Z"},{"id":"doi:10.5772/intechopen.1014048","name":"Unmanned Aerial Vehicle Collaboration - Strengthening Resilience via Deconfliction and Formation Methods [Working Title]","source":"crossref","abstract":"","url":"https://doi.org/10.5772/intechopen.1014048","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-05-06T11:14:41Z","addedAt":"2026-08-06T22:48:46.161Z","doi":"10.5772/intechopen.1014048","updatedAt":"2026-08-31T06:39:59.254Z"},{"id":"doi:10.3390/books978-3-0365-4664-3","name":"Unmanned Aerial Vehicle (UAV)-Enabled Wireless Communications and Networking","source":"crossref","abstract":"","url":"https://doi.org/10.3390/books978-3-0365-4664-3","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2022-07-28T06:52:13Z","addedAt":"2026-08-06T22:48:46.161Z","doi":"10.3390/books978-3-0365-4664-3","updatedAt":"2026-08-31T06:39:59.254Z"},{"id":"doi:10.5772/intechopen.1015634","name":"Perspective Chapter: Living Life on the Edge – Real-Time Intelligence in Unmanned Aerial Vehicles","source":"crossref","abstract":"Autonomous unmanned aerial vehicles (UAVs) operating in safety-critical environments are constrained by latency, bandwidth, and unreliable connectivity. Tasks such as collision avoidance and stabilization require immediate, local computation that centralized architectures cannot consistently provide. This chapter proposes an edge-native framework in which time-critical functions (perception, state estimation, navigation, and control) are executed at the edge, supported by fog-based coordination and cloud-based training and analytics. It examines how design, deterministic execution, energy-aware scheduling, and collaborative strategies such as task offloading and federated learning must be adapted to physical and network constraints. The central argument is that resilient UAV autonomy depends on disciplined task partitioning across edge, fog, and cloud layers to ensure predictable performance under constrained conditions.","url":"https://doi.org/10.5772/intechopen.1015634","authors":["Christopher Jenks"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-05-14T12:45:32Z","addedAt":"2026-08-06T22:48:46.161Z","doi":"10.5772/intechopen.1015634","updatedAt":"2026-08-31T06:39:59.254Z"},{"id":"doi:10.1109/aero.2011.5747518","name":"Vision based landing for unmanned aerial vehicle","source":"crossref","abstract":"","url":"https://doi.org/10.1109/aero.2011.5747518","authors":["Vinyojita mohanraj Raja"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2011-04-12T17:39:27Z","addedAt":"2026-08-06T22:48:46.161Z","doi":"10.1109/aero.2011.5747518","updatedAt":"2026-08-31T06:39:59.254Z"},{"id":"doi:10.1109/ieeestd.2020.9271964","name":"IEEE Guide for Unmanned Aerial Vehicle-Based Patrol Inspection System for Transmission Lines","source":"crossref","abstract":"","url":"https://doi.org/10.1109/ieeestd.2020.9271964","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2020-11-25T16:33:42Z","addedAt":"2026-08-06T22:48:46.161Z","doi":"10.1109/ieeestd.2020.9271964","updatedAt":"2026-08-31T06:39:59.254Z"},{"id":"doi:10.32657/10356/54887","name":"Stealth path planning for unmanned aerial vehicle operations in radar zones","source":"crossref","abstract":"","url":"https://doi.org/10.32657/10356/54887","authors":["Ee May Kan"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2019-10-02T15:51:46Z","addedAt":"2026-08-06T22:48:46.161Z","doi":"10.32657/10356/54887","updatedAt":"2026-08-31T06:39:59.254Z"},{"id":"doi:10.1201/9780429425264","name":"Unmanned Aerial Vehicle Systems in Crop Production","source":"crossref","abstract":"","url":"https://doi.org/10.1201/9780429425264","authors":["K. R. Krishna"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2019-10-08T09:29:53Z","addedAt":"2026-08-06T22:48:46.161Z","doi":"10.1201/9780429425264","updatedAt":"2026-08-31T06:39:59.254Z"},{"id":"doi:10.1109/ieeestd.2025.11045276","name":"IEEE Recommended Practice for Use of an Unmanned Aerial Vehicle for Substation Inspection","source":"crossref","abstract":"","url":"https://doi.org/10.1109/ieeestd.2025.11045276","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-06-19T13:37:39Z","addedAt":"2026-08-06T22:48:46.161Z","doi":"10.1109/ieeestd.2025.11045276","updatedAt":"2026-08-31T06:39:59.254Z"},{"id":"doi:10.1061/9780784485484.190","name":"Vehicle Trajectory Deviation Data Collection Method Based on Unmanned Aerial Vehicle Aerial Imagery","source":"crossref","abstract":"","url":"https://doi.org/10.1061/9780784485484.190","authors":["Zhu Sun","Jing Wang","Xiaolong Ma","Jianbei Liu"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-12-11T06:14:49Z","addedAt":"2026-08-06T22:48:46.161Z","doi":"10.1061/9780784485484.190","updatedAt":"2026-08-31T06:39:59.254Z"},{"id":"doi:10.1139/juvs-2018-0022","name":"Wildfire early warning system based on wireless sensors and unmanned aerial vehicle","source":"crossref","abstract":"Wildfires erupt annually around the world causing serious loss of life and property damage. Despite the rapid progress of science and technology, there are no effective means to forecast wildfires. Various wildfire monitoring systems are deployed in different countries, most depend on photos or videos to identify features of wildfire after the first outbreak, while the delay of confirmation varies with technology. An autonomous forest wildfire early warning system is presented in this paper, which employs a state-of-the-art unmanned aerial vehicle (UAV) to fly around a forest regularly according to established routes and strict procedures, to collect environmental data from sensors installed on trees, to monitor and predict wildfire, then provide early warning before eruption if a danger emerges. Bluetooth Low Energy (BLE) is employed to exchange data between UAV and the host of sensors. The collected monitoring data, such as temperature and humidity, is effective to reflect the real condition of the forest, which could result in early warning of wildfires. The application of this system in the environment will enhance the ability of wildfire prediction for the community.","url":"https://doi.org/10.1139/juvs-2018-0022","authors":["Songsheng Li"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2018-11-21T16:43:25Z","addedAt":"2026-08-06T22:48:46.161Z","doi":"10.1139/juvs-2018-0022","updatedAt":"2026-08-31T06:39:59.254Z"},{"id":"doi:10.1139/juvs-2016-0018","name":"Aerial and underwater sound of unmanned aerial vehicles (UAV, drones)","source":"crossref","abstract":"","url":"https://doi.org/10.1139/juvs-2016-0018","authors":["Christine Erbe","Miles Parsons","Alec J. Duncan","Sylvia Osterrieder","Kim Allen"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2017-05-25T21:34:07Z","addedAt":"2026-08-06T22:48:46.161Z","doi":"10.1139/juvs-2016-0018","updatedAt":"2026-08-31T06:39:59.254Z"},{"id":"doi:10.2139/ssrn.5062912","name":"Super-Resolution Reconstruction of Unmanned Aerial Vehicle Images Using Optimized Generative Adversarial Network Algorithmsuper-Resolution Reconstruction of Unmanned Aerial Vehicle Images Using Optimized Generative Adversarial Network Algorithm","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.5062912","authors":["Zhenghang Zhang","Xueman Wang","Yan Lei","Qiaozhi Zhu","Ying Wang","Xin Lv","Ze Zhang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-12-18T14:36:55Z","addedAt":"2026-08-06T22:48:46.161Z","doi":"10.2139/ssrn.5062912","updatedAt":"2026-08-31T06:39:59.254Z"},{"id":"doi:10.2478/sjpna-2018-0001","name":"The Prospect for the Launche of a Mini Unmanned Aerial Vehicle from an Unmanned Surface Vehicle","source":"crossref","abstract":"Abstract Due to the growing interest in the problems of cooperation among unmanned vehicles, in the article the proposition of the system for launching a mini unmanned aerial vehicle (mini-UAV) from an unmanned surface vehicle (USV) has been presented. The solution differs from the previously used in this that instead of the commonly used rotorcrafts it concerns the ability to start the mini aircraft with the help of pneumatic or rubber launcher. The results of the computer simulation have con-firmed the possibility of implementation of that kind of system.","url":"https://doi.org/10.2478/sjpna-2018-0001","authors":["Karolina Jurczyk"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2019-02-12T09:14:11Z","addedAt":"2026-08-06T22:48:46.161Z","doi":"10.2478/sjpna-2018-0001","updatedAt":"2026-08-31T06:39:59.254Z"},{"id":"doi:10.1109/apuavd.2017.8308823","name":"Path constructing method of unmanned aerial vehicle","source":"crossref","abstract":"","url":"https://doi.org/10.1109/apuavd.2017.8308823","authors":["O. M. Tachinina","O. I. Lysenko","I. V. Alekseeva"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2018-03-08T21:32:37Z","addedAt":"2026-08-06T22:48:46.161Z","doi":"10.1109/apuavd.2017.8308823","updatedAt":"2026-08-31T06:39:59.254Z"},{"id":"doi:10.33915/etd.7413","name":"Artificial Immune System for Unmanned Aerial Vehicle Abnormal Condition Detection and Identification","source":"crossref","abstract":"","url":"https://doi.org/10.33915/etd.7413","authors":["Ryan G McLaughlin"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2020-02-25T19:54:32Z","addedAt":"2026-08-06T22:48:46.161Z","doi":"10.33915/etd.7413","updatedAt":"2026-08-31T06:39:59.254Z"},{"id":"doi:10.1002/9781119769170.ch1","name":"Unmanned Aerial Vehicle (UAV): A Comprehensive Survey","source":"crossref","abstract":"","url":"https://doi.org/10.1002/9781119769170.ch1","authors":["Rohit Chaurasia","Vandana Mohindru"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2021-07-30T12:49:18Z","addedAt":"2026-08-06T22:48:46.161Z","doi":"10.1002/9781119769170.ch1","updatedAt":"2026-08-31T06:39:59.254Z"},{"id":"doi:10.1109/mcs.2013.2287568","name":"Unmanned Aerial Vehicle Path Following: A Survey and Analysis of Algorithms for Fixed-Wing Unmanned Aerial Vehicless","source":"crossref","abstract":"","url":"https://doi.org/10.1109/mcs.2013.2287568","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2014-01-24T19:17:26Z","addedAt":"2026-08-06T22:48:46.161Z","doi":"10.1109/mcs.2013.2287568","updatedAt":"2026-08-31T06:39:59.254Z"},{"id":"doi:10.4018/978-1-5225-8365-3.ch013","name":"The Role of Affective Computing for Improving Situation Awareness in Unmanned Aerial Vehicle Operations","source":"crossref","abstract":"Unmanned aerial vehicles (UAVs), commonly known as drones, are a robotic form of military aircraft that are remotely operated by humans. Due to lack of situation awareness, such technology has led to the deaths of civilians through the inaccurate targeting of missile or gun attacks. This chapter presents the case for how a patented invention can be used to reduce civilian casualties through attaching an affect recognition sensor to a UAV that uses a database of strategies, tactics and commands to better instruct fighter pilots on how to respond while in combat so as to avoid misinterpreting civilians as combatants. The chapter discusses how this system, called VoisJet, can reduce many of the difficulties that come about for UAV pilots, including reducing cognitive load and opportunity for missing data. The chapter concludes that using UAVs fitted with VoisJet could allow for the reduction of the size of standing armies so that defence budgets are not overstretched outside of peacetime.","url":"https://doi.org/10.4018/978-1-5225-8365-3.ch013","authors":["Jonathan Bishop"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2019-04-03T17:59:13Z","addedAt":"2026-08-06T22:48:46.161Z","doi":"10.4018/978-1-5225-8365-3.ch013","updatedAt":"2026-08-31T06:39:59.254Z"},{"id":"doi:10.20944/preprints202407.1465.v2","name":"Energy-Optimized 3D Path Planning for Unmanned Aerial Vehicle","source":"europepmc","abstract":"Drone technology has undoubtedly become an integral part of our everyday life these days. The business and industrial use of unmanned aerial vehicles (UAV) can provide advantageous solutions in many areas of life, and they are also optimal for emergency situations and for accessing hard-to-reach places. However, their application poses numerous technological and regulatory challenges to be overcome. One of the weak links in the operation of UAVs is the limited availability of energy. In order to address this issue authors developed a novel trajectory planning method for UAVs to optimize the energy necessity during flight. First, an &amp;ldquo;energy map&amp;rdquo; was created, which was the basis for trajectory planning, i.e., determining the energy consumption of the individual components. This was followed by configuring the 3D environment including partitioning of the work space (WS), in fact, defining the free spaces, occupied spaces (obstacles) and semi-occupied/free spaces. Then the corresponding graph-like path(s) were generated on the basis of the partitioned space, where a graph search-based heuristic trajectory planning was initiated, taking into account the most important wind conditions including velocity and direction. Finally, in order to test the theoretical results, some sample environments were created to test and analyse the proposed path generations. The method eventually proposed was able to determine the optimal path in terms of energy consumption.","url":"https://doi.org/10.20944/preprints202407.1465.v2","authors":["István Nagy","Edit Laufer"],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2024","addedAt":"2026-08-06T22:48:46.161Z","doi":"10.20944/preprints202407.1465.v2","updatedAt":"2026-08-31T06:39:59.254Z"},{"id":"doi:10.1038/s41598-026-57608-w","name":"The impact of unmanned aerial vehicle applications on agricultural carbon emission.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41598-026-57608-w","authors":["Xiaolin Li","Chunyan Lu"],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:46.161Z","doi":"10.1038/s41598-026-57608-w","updatedAt":"2026-08-31T06:40:02.906Z"},{"id":"doi:10.1038/s41598-026-51902-3","name":"FDA_YOLOv8: refined small object detection in unmanned aerial vehicle imagery.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41598-026-51902-3","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:46.161Z","doi":"10.1038/s41598-026-51902-3","updatedAt":"2026-08-31T06:40:02.906Z"},{"id":"doi:10.1109/tcyb.2026.3713180","name":"Learning-Based Security Control of Unmanned Aerial Vehicle Swarm System With Multisource Disturbances and Cyber Attacks.","source":"europepmc","abstract":"","url":"https://doi.org/10.1109/tcyb.2026.3713180","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:46.161Z","doi":"10.1109/tcyb.2026.3713180","updatedAt":"2026-08-31T06:40:08.030Z"},{"id":"doi:10.5423/ppj.oa.03.2026.0041","name":"Chemical Control of Garlic Leaf Blight Through Unmanned Aerial Vehicle Based Application.","source":"europepmc","abstract":"","url":"https://doi.org/10.5423/ppj.oa.03.2026.0041","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:46.161Z","doi":"10.5423/ppj.oa.03.2026.0041","updatedAt":"2026-08-31T06:40:05.993Z"},{"id":"doi:10.21203/rs.3.rs-10230875/v1","name":"Estimating Above-Ground Blue Carbon in a Tropical Mangrove Using Multispectral Unmanned Aerial Vehicle Imagery","source":"europepmc","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-10230875/v1","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:46.161Z","doi":"10.21203/rs.3.rs-10230875/v1","updatedAt":"2026-08-31T06:40:02.907Z"},{"id":"doi:10.1016/j.actatropica.2026.108146","name":"Operational evaluation of unmanned aerial vehicle-applied granular larvicides in an integrated mosquito management program.","source":"europepmc","abstract":"","url":"https://doi.org/10.1016/j.actatropica.2026.108146","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:46.161Z","doi":"10.1016/j.actatropica.2026.108146","updatedAt":"2026-08-31T06:40:02.906Z"},{"id":"doi:10.21203/rs.3.rs-10107317/v1","name":"Trim-Constrained Aero-Propulsive Assessment of Distributed Electric Ducted Fans for a Fixed-Wing Unmanned Aerial Vehicle","source":"europepmc","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-10107317/v1","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:46.161Z","doi":"10.21203/rs.3.rs-10107317/v1","updatedAt":"2026-08-31T06:40:02.907Z"},{"id":"doi:10.1038/s41598-026-42843-y","name":"Comparative optimization of electric robo-taxi (eRT) and electric unmanned aerial vehicle (eUAV) systems.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41598-026-42843-y","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:46.161Z","doi":"10.1038/s41598-026-42843-y","updatedAt":"2026-08-31T06:40:05.993Z"},{"id":"doi:10.1038/s41598-026-43333-x","name":"A bayesian network approach for systemic risk analysis in unmanned aerial vehicle (UAV) operations.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41598-026-43333-x","authors":["Lu Wang","Maoran Zhu","Na Li"],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:46.161Z","doi":"10.1038/s41598-026-43333-x","updatedAt":"2026-08-31T06:40:02.905Z"},{"id":"doi:10.21203/rs.3.rs-7754842/v1","name":"Use of Unmanned Aerial Vehicle for Autonomous Person Detection and Tracking","source":"europepmc","abstract":"Abstract Unmanned Aerial Vehicle (UAV) technology has rapidly advanced, enabling the execution of increasingly complex autonomous tasks. This work presents a cognitive surveillance approach utilizing the low-cost UAV, integrating perception and decision-making for indoor monitoring. The system combines communication protocols, ROS-based control, ORB-SLAM3 visual mapping, OctoMap-based occupancy modeling, and OpenCV for real-time face detection and tracking. A lightweight web interface was implemented for operator interaction, enabling autonomous navigation commands, real-time video streaming, and automatic email alerts triggered by detected faces. Experiments in both simulated and real environments demonstrated that the UAV successfully mapped unknown spaces, avoided obstacles, and navigated autonomously without collisions, relying solely on monocular odometry. The face detection and tracking module consistently maintained the target in the field of view, capturing and transmitting images via email. Despite hardware limitations, results highlighted the effectiveness of learning from environmental cues, adapting navigation, and maintaining continuous target tracking. This confirms the feasibility of low-cost UAVs for autonomous cognitive surveillance applications in security-critical scenarios.","url":"https://doi.org/10.21203/rs.3.rs-7754842/v1","authors":["Marcus Vinícius  dos Reis Albano","Aline Gabriela Loiola Almeida","Milena Faria Pinto","Vinícius Schettino Barbosa"],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","addedAt":"2026-08-06T22:48:46.161Z","doi":"10.21203/rs.3.rs-7754842/v1","updatedAt":"2026-08-31T06:40:05.995Z"},{"id":"doi:10.1016/j.isatra.2025.11.037","name":"Prescribed performance collision-free control for bearing-constrained unmanned aerial vehicle.","source":"pubmed","abstract":"This paper addresses the challenging problem of enabling bearing-constrained unmanned aerial vehicles to navigate through environments with multiple obstacles while strictly satisfying predefined convergence time and steady-state accuracy requirements. To meet the stringent payload and cost constraints of small-scale UAVs, we propose a lightweight local perception and localization framework that relies solely on angular (bearing) measurements, thereby minimizing sensor hardware requirements. An integrated obstacle-avoidance assistance mechanism is developed to ensure safe traversal in cluttered environments under these limited sensing conditions, without appreciably degrading the prescribed temporal and accuracy performance. Furthermore, a non-singular prescribed-performance control strategy is designed that seamlessly incorporates obstacle avoidance while guaranteeing user-specified convergence time and ultimate tracking precision. Finally, the effectiveness of the proposed approach is validated through multiple simulation examples.","url":"https://doi.org/10.1016/j.isatra.2025.11.037","authors":["Zhang T","Yu D","Cheong KH","Wang Z"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:46.161Z","doi":"10.1016/j.isatra.2025.11.037","updatedAt":"2026-08-31T06:40:02.907Z"},{"id":"doi:10.3390/s26041322","name":"Geolocalization of Unmanned Aerial Vehicle Images and Mapping onto Satellite Images Utilizing 3D Gaussian Splatting.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s26041322","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:46.161Z","doi":"10.3390/s26041322","updatedAt":"2026-08-31T06:40:00.188Z"},{"id":"doi:10.1007/s10661-026-15406-x","name":"Estimating soil organic carbon content in reclaimed mining areas using unmanned aerial vehicle multispectral remote sensing and deep learning algorithms.","source":"europepmc","abstract":"","url":"https://doi.org/10.1007/s10661-026-15406-x","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:46.161Z","doi":"10.1007/s10661-026-15406-x","updatedAt":"2026-08-31T06:40:02.906Z"},{"id":"doi:10.1016/j.apergo.2026.104780","name":"Eyes on the mission: Mixed methods assessment of eye-tracker-enabled interactive decision support in a simulated unmanned aerial vehicle system.","source":"europepmc","abstract":"","url":"https://doi.org/10.1016/j.apergo.2026.104780","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:46.161Z","doi":"10.1016/j.apergo.2026.104780","updatedAt":"2026-08-31T06:40:02.906Z"},{"id":"doi:10.13075/ijomeh.1896.02630","name":"Effect of unmanned aerial vehicle mission difficulty level on pilot's autonomic nervous system.","source":"pubmed","abstract":"The aim of this article is to investigate the psychophysiological responses of unmanned aerial vehicle (UAV) pilots during flight simulations with high mission complexity. In particular, it focuses on the responses of the sympathetic and parasympathetic parts of the autonomic nervous system.","url":"https://doi.org/10.13075/ijomeh.1896.02630","authors":["Wojciechowski P","Wojtowicz K","Błaszczyk J"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025","addedAt":"2026-08-06T22:48:46.161Z","doi":"10.13075/ijomeh.1896.02630","updatedAt":"2026-08-31T06:40:05.993Z"},{"id":"doi:10.64898/2025.12.09.693308","name":"Study of the Effects of Different Spray Adjuvants on Unmanned Aerial Vehicle Crop Protection in Rice Fields","source":"europepmc","abstract":"Abstract Unmanned aerial vehicle (UAV) spraying is being increasingly used for rice pest control, but challenges remain in terms of optimizing the uniformity and efficacy of droplet deposition. In this study, the effects of six commercial spray adjuvants on the UAV-based control of rice stem borers in paddy fields were systematically evaluated. With a T30 UAV equipped with water-sensitive paper monitoring, we assessed the droplet spreading dynamics, deposition density, coefficient of variation (CV), and field control efficacy at various heights (1.5–3 m) and speeds (3–6 m/s). The results revealed that Activator 90 significantly reduced the CV by 30% (p&lt;0.01) and resulted in the highest deposition density (30.0 drops/cm 2 ) within 2 minutes. Compared with the control treatment, the Activator 90 increased the control efficacy by 70% to 87%, with optimal parameters at a height of 2.5 m and a spraying rate of 22.5 L/ha. This research reveals that selective adjuvants can markedly improve UAV spray performance, providing a practical framework for precision pest management in rice ecosystems.","url":"https://doi.org/10.64898/2025.12.09.693308","authors":["Weicai Qin","Xiaotuo Wang","Xiaolan Lv"],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","addedAt":"2026-08-06T22:48:46.161Z","doi":"10.64898/2025.12.09.693308","updatedAt":"2026-08-31T06:40:05.995Z"},{"id":"doi:10.20944/preprints202511.1384.v1","name":"Event-Based Vision Application on Autonomous Unmanned Aerial Vehicle: A Review of Prospects and Challenges","source":"europepmc","abstract":"Event camera vision systems are recently gaining traction as swift and agile sensing devices in the field of unmanned aerial vehicles (UAVs). Despite their inherent superior capabilities covering high dynamic range, microsecond-level temporary resolution and robustness to motion distortion which allows them to capture fast and subtle scene changes that conventional frame-based cameras often miss, there utilization is yet to be wide spread. This is due to challenges like insufficient real-world validation, unstandardized simulation platforms, limited hardware integration and a lack of ground truth datasets. This systematic review paper, presents an investigation that seek to explore the dynamic vision sensor christened event camera and its integration to (UAVs). The review synthesized peer-reviewed articles between 2015 and 2025 across five thematic domains: datasets, simulation tools, algorithmic paradigms, application areas, and future directions.The review reveals that event cameras outperformed traditional frame-based systems in terms of latency and robustness to motion blur and lighting conditions, enabling reactive and precise UAV control. However, challenges remain in standardizing evaluation metrics, improving hardware integration, and expanding annotated datasets, which are vital for adopting event cameras as reliable components in autonomous UAV systems.","url":"https://doi.org/10.20944/preprints202511.1384.v1","authors":["Ibrahim Akanbi","Michael Ayomoh"],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","addedAt":"2026-08-06T22:48:46.161Z","doi":"10.20944/preprints202511.1384.v1","updatedAt":"2026-08-31T06:40:05.995Z"},{"id":"doi:10.1038/s41598-026-46576-w","name":"Fault-tolerant control of quadrotor unmanned aerial vehicle by using adaptive fuzzy T-S and linear matrix inversion approach.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41598-026-46576-w","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:46.161Z","doi":"10.1038/s41598-026-46576-w","updatedAt":"2026-08-31T06:40:05.993Z"},{"id":"doi:10.1016/j.isatra.2026.02.021","name":"Neural network-based active disturbance rejection control and its application in quadrotor unmanned aerial vehicle trajectory tracking.","source":"europepmc","abstract":"","url":"https://doi.org/10.1016/j.isatra.2026.02.021","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:46.161Z","doi":"10.1016/j.isatra.2026.02.021","updatedAt":"2026-08-31T06:40:02.907Z"},{"id":"doi:10.3389/fpls.2025.1766846","name":"Correction: Unmanned aerial vehicle payload technology applications in agriculture and other low altitude scenarios: a review.","source":"pubmed","abstract":"[This corrects the article DOI: 10.3389/fpls.2025.1721484.].","url":"https://doi.org/10.3389/fpls.2025.1766846","authors":["Yao W","Liu C","Liu Y","Zheng Q","Wang J","Yu H","Chen C","Guo S"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025","addedAt":"2026-08-06T22:48:46.161Z","doi":"10.3389/fpls.2025.1766846","updatedAt":"2026-08-31T06:40:05.993Z"},{"id":"doi:10.1016/j.dib.2026.112480","name":"A multi-angle reflectance dataset of wheat and peach trees with unmanned aerial vehicle imagery.","source":"pubmed","abstract":"Medium- to high-resolution satellite data, such as Sentinel-2 and Landsat-8, have significantly enhanced the accuracy of vegetation monitoring. However, canopy reflectance and vegetation indices are affected by the bidirectional reflectance distribution function (BRDF) effect, introducing uncertainties in vegetation phenology monitoring and parameter retrieval. Herein, a multi-angle reflectance dataset was developed using unmanned aerial vehicles (UAVs) to investigate the angular effect over the crop canopy across various growth stages. Multi-angle measurements were acquired over two 10 m &#xd7; 10 m plots of wheat and peach trees in Yukou Town, Pinggu District, Beijing, China, during their respective key growth stages (29 Feb to 21 May in 2024 for wheat; 11 Apr to 12 Jun in 2024 for peach trees). Wheat measurements were obtained using a DJI Matrice 350 RTK equipped with a Cubert ULTRIS X20 Plus hyperspectral imager, while peach tree data were captured with an Agrowing 61MP Sextuple multispectral imager. UAV flights used a spherical-helical trajectory to maximize solar-view geometry coverage, yielding over 1,800 angular observations under clear-sky conditions. All UAV imagery was post-processed and stored in text and Excel formats. The dataset provides high-quality, multi-angle spectral measurements for two representative crops during multiple growth stages, enabling in-depth investigations into BRDF characteristics, angular sensitivity of spectral metrics, and temporal spectral dynamics. Furthermore, the data support the validation of physical models for vegetation remote sensing, vegetation parameter inversion, and the training of machine-learning models for more remote sensing applications.","url":"https://doi.org/10.1016/j.dib.2026.112480","authors":["Guo Y","Mu X","Lyu X","Fan D","Lei C","Wu R","Xie D","Yan G"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:46.161Z","doi":"10.1016/j.dib.2026.112480","updatedAt":"2026-08-31T06:40:02.907Z"},{"id":"doi:10.1111/risa.70246","name":"An Integrated Cloud-Based Failure Mode and Effects Analysis Framework for Risk Assessment of Unmanned Aerial Vehicle Operations in Urban Logistics Using Group Consensus.","source":"europepmc","abstract":"","url":"https://doi.org/10.1111/risa.70246","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:46.161Z","doi":"10.1111/risa.70246","updatedAt":"2026-08-31T06:40:02.906Z"},{"id":"doi:10.3390/s26010081","name":"Event-Based Vision Application on Autonomous Unmanned Aerial Vehicle: A Systematic Review of Prospects and Challenges.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s26010081","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","addedAt":"2026-08-06T22:48:46.161Z","doi":"10.3390/s26010081","updatedAt":"2026-08-31T06:40:05.993Z"},{"id":"doi:10.46234/ccdcw2026.049","name":"Unmanned Aerial Vehicle Surveillance of Rooftop Aedes Breeding Sites Before Dengue Season - Dongguan City, Guangdong Province, China, 2024-2025.","source":"europepmc","abstract":"","url":"https://doi.org/10.46234/ccdcw2026.049","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:46.161Z","doi":"10.46234/ccdcw2026.049","updatedAt":"2026-08-31T06:40:05.993Z"},{"id":"doi:10.3390/s26020655","name":"Dynamic Event-Triggered Control for Unmanned Aerial Vehicle Swarm Adaptive Target Enclosing Mission.","source":"pubmed","abstract":"Multi-UAV (unmanned aerial vehicle) target enclosing control is one of the key technologies for achieving cooperative tasks. It faces limitations in communication resources and task framework separation. To address this, a distributed cooperative control strategy is proposed based on dynamic time-varying formation description and event-triggering mechanism. Firstly, a formation description method based on a geometric transformation parameter set is established to uniformly describe the translation, rotation, and scaling movements of the formation, providing a foundation for time-varying formation control. Secondly, a cooperative architecture for adaptive target enclosing tasks is designed. This architecture achieves an organic combination of formation control and target enclosing in a unified framework, thereby meeting flexible transitions between multiple formation patterns such as equidistant surrounding and variable-distance enclosing. Thirdly, a distributed dynamic event-triggered cooperative enclosing controller is developed. This strategy achieves online adjustment of communication thresholds through internal dynamic variables, significantly reducing communication while strictly ensuring system performance. By constructing a Lyapunov function, the stability and Zeno free behavior of the closed-loop system are proven. The simulation results verify this strategy, showing that this strategy can significantly reduce communication frequency while ensuring enclosing accuracy and formation consistency and effectively adapt to uniform and maneuvering target scenarios.","url":"https://doi.org/10.3390/s26020655","authors":["Wanjing Zhang","Xinli Xu","Zhang W","Xu X"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:46.161Z","doi":"10.3390/s26020655","updatedAt":"2026-08-31T06:40:08.030Z"},{"id":"doi:10.21203/rs.3.rs-7631759/v1","name":"An Improved Black-Winged Kite Algorithm for Unmanned Aerial Vehicle Path Planning","source":"europepmc","abstract":"Abstract Three-dimensional (3D) path planning for unmanned aerial vehicles is a classic NP-hard problem, where conventional algorithms often face limitations like slow convergence and susceptibility to local optima. This paper proposes an improved black kite optimization algorithm (IGFMBKA) that enhances performance through the integration of adaptive weights, multi-directional flipping, and differential evolution with vertical crossover strategies. The effectiveness of IGFMBKA was evaluated using 18 benchmark functions, along with test functions from CEC2017 and CEC2022, and further applied to a 3D UAV path planning model. Experimental results demonstrate that IGFMBKA consistently surpasses both individual improvement strategies and state-of-the-art optimization algorithms across all test cases. Notably, IGFMBKA achieved the lowest comprehensive cost while generating smooth and collision-free flight trajectories. This approach provides an efficient solution for UAV path planning in complex scenarios.","url":"https://doi.org/10.21203/rs.3.rs-7631759/v1","authors":["Shuhao Jiang","Tingting Yu","Shengliang Cui"],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","addedAt":"2026-08-06T22:48:46.161Z","doi":"10.21203/rs.3.rs-7631759/v1","updatedAt":"2026-08-31T06:40:05.995Z"},{"id":"doi:10.1038/s41598-025-34622-y","name":"Research on the application of unmanned aerial vehicle aeromagnetic measurement based on rubidium optical pump magnetometer.","source":"pubmed","abstract":"Optical Pumped Magnetometers (OPMs) have become key instruments in the field of precision magnetic field measurement due to their high accuracy, stability, and compact design. These quantum sensors are widely applied in geophysical exploration, engineering surveying, and unexploded ordnance detection. This study presents the [Formula: see text]-type rubidium atomic optical pumped magnetometer developed by the Quantum Precision Measurement Team at Zhejiang University of Technology, which is integrated with a custom-designed unmanned aerial vehicle (UAV) magnetic measurement platform. Under static conditions, a performance comparison experiment was conducted between the [Formula: see text]-type rubidium atomic optically pumped magnetometer (ZAM) and a commercial QuSpin magnetometer. Additionally, a QuSpin magnetometer was mounted on one side of the UAV platform, and a self-developed magnetometer was mounted on the other side, to verify the performance of the instrument in practical applications. Experimental results show that: in static tests, the difference between the measurement data of the two sensors had a standard deviation (STD) of 0.3nT, indicating good agreement between the two sensors; in dynamic tests, variational mode decomposition was introduced to separate the geomagnetic signal from the system environmental noise, and the processed difference between the two ZAM instruments had an STD of 1.3nT. These experimental results demonstrate that the stability and accuracy of the ZAM magnetometer are comparable to those of commercial instruments. Finally, a field experiment carried out in a metal mining area of Huzhou further verified the efficiency and practicality of UAV aerial magnetic survey, highlighting its broad application prospects in mineral exploration.","url":"https://doi.org/10.1038/s41598-025-34622-y","authors":["Zhou H","Qiao Z","Yuan P","Huang Y","Zhu L","Yang C","Wang L","Zheng L","Wang Y","Wu B","Lin Q"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:46.161Z","doi":"10.1038/s41598-025-34622-y","updatedAt":"2026-08-31T06:40:02.907Z"},{"id":"doi:10.3389/fpls.2026.1851420","name":"Remote evaluation of rice nitrogen utilization efficiency using chlorophyll-related spectral indices derived from unmanned aerial vehicle imagery.","source":"europepmc","abstract":"","url":"https://doi.org/10.3389/fpls.2026.1851420","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:46.161Z","doi":"10.3389/fpls.2026.1851420","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"doi:10.1038/s41598-025-24394-w","name":"Distributed fixed time adaptive cooperative tracking control for quadrotor unmanned aerial vehicle.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41598-025-24394-w","authors":["Jinghong Zhou","Xihuizi Liang","Min Shi","Zitai Liu"],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","addedAt":"2026-08-06T22:48:46.161Z","doi":"10.1038/s41598-025-24394-w","updatedAt":"2026-08-31T06:40:05.993Z"},{"id":"doi:10.20944/preprints202512.1551.v1","name":"Radio Frequency Signal Recognition of Unmanned Aerial Vehicle Based on Complex-Valued Convolutional Neural Network","source":"europepmc","abstract":"The rapid development of the low-altitude economy is driving significant societal and industrial transformation. Unmanned aerial vehicles (UAVs), as key enablers of this emerging domain, offer substantial benefits in many applications. However, their unauthorized or malicious use poses serious security, safety, and privacy risks, underscoring the critical need for reliable UAV detection technologies. Among existing approaches, such as radar, acoustic, and vision-based methods, radio frequency (RF)-based UAV detection has gained prominence due to its long detection range, robustness to lighting and weather conditions, and capability to identify RF-emitting UAVs even when visually obscured. Nevertheless, conventional RF-based approaches often suffer from limited feature representation and poor generalization. In the past few years, convolutional neural networks (CNNs) have become the mainstream solution for RF signal recognition. However, most real-valued CNNs (RV-CNNs) process only the magnitude component of RF signals, discarding the phase information that carries valuable discriminative characteristics, which may degrade recognition performance. To address this limitation, this paper proposes a complex-valued CNN (CV-CNN) for UAV RF signal recognition, which exploits the full complex-domain structure of RF signals to enhance recognition accuracy and robustness. The proposed CV-CNN accounts for both the magnitude and phase components of RF signals from UAVs, thereby enabling true complex-valued convolutional operations without loss of phase information. The effectiveness of this approach is validated on the DroneRFa dataset, which encompasses RF signals from 25 distinct UAV categories. The impact of model hyperparameters, including network depth, convolutional kernel size, and dropout strategy on recognition performance is investigated through a series of ablation experiments. Comparisons are also conducted between the performance of CV-CNN with identical parameters and RV-CNN, both in noise-free and noisy conditions. The experimental results demonstrate that the CV-CNN exhibits superior robustness and interference resistance in comparison to its real-valued counterpart, maintaining high recognition accuracy even under low signal-to-noise ratio (SNR) conditions.","url":"https://doi.org/10.20944/preprints202512.1551.v1","authors":["Yibo Xin","Junsheng Mu","Xiaojun Jing","Wei Liu"],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","addedAt":"2026-08-06T22:48:46.161Z","doi":"10.20944/preprints202512.1551.v1","updatedAt":"2026-08-31T06:40:05.995Z"},{"id":"doi:10.1016/j.isatra.2026.01.021","name":"Semi-global exponential convergence nonlinear control of the quadrotor unmanned aerial vehicle based on Lie algebra so(3).","source":"pubmed","abstract":"This paper addresses the position-attitude tracking control problem of quadrotor unmanned aerial vehicles (QUAVs). Over the past decade, the attitude control of QUAVs has achieved global exponential stability (GES) by leveraging Lie group theory to address the singularities in the attitude error representation. However, the position control of QUAVs has not yet reached GES. Based on the geometric position control law and the Lie-algebra-based attitude control law, this paper proposes an improved robust position-attitude control law. For attitude control, a method for computing attitude error represented in Lie algebra so(3) is proposed to address the singularity of the logarithmic map. For position control, a novel hybrid computational scheme of the desired rotation matrix is proposed to address the body flipping problem when the desired yaw direction is parallel to the desired thrust direction. Both attitude and position errors are globally defined on their respective manifolds, ensuring singularity-free tracking performance over the entire configuration space. For stability analysis, some Lyapunov-based techniques are employed to bound the high-order coupling terms between position and attitude. In the presence of unknown disturbances, the position-attitude control system is proven to be semi-globally exponentially stable. The proposed control law is validated through numerical simulations and indoor flight experiments under wind disturbances, in comparison with the classical geometric control method.","url":"https://doi.org/10.1016/j.isatra.2026.01.021","authors":["Zhou Z","Xian B","Cai J","Yu J"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:46.161Z","doi":"10.1016/j.isatra.2026.01.021","updatedAt":"2026-08-31T06:40:02.907Z"},{"id":"doi:10.1371/journal.pone.0329286","name":"Accuracy of recording linear erosion using an unmanned aerial vehicle (UAV).","source":"pubmed","abstract":"Soil erosion is an ongoing environmental problem. To address this issue, calibrated erosion models are used to forecast areas vulnerable to erosion and to determine appropriate preventive measures. Model calibrations are based on erosion data recorded using different techniques such as photogrammetry from an unmanned aerial vehicle (UAV). In this study, the accuracy of the DJI P4 RTK UAV data was estimated for cropland boundary conditions. Ground heights of tilled and untilled arable land and standing water surfaces were determined using aerial surveys and compared to terrestrial surveys conducted on site. The results revealed that untilled soils can be accurately detected using a UAV, whereas the detection error rates of tilled soils were 2-3 folds higher. Additionally, the width and height of linear erosion tracks were measured and compared using aerial surveys and manual on-site measurements. The erosion width of the linear tracks was accurately recorded using a UAV whereas the erosion depth was underestimated by the digital elevation model (DEM) generated from UAV data.","url":"https://doi.org/10.1371/journal.pone.0329286","authors":["Hinsberger R","Yörük A","Rebecca Hinsberger","Alpaslan Yörük"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025","addedAt":"2026-08-06T22:48:46.161Z","doi":"10.1371/journal.pone.0329286","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"doi:10.1016/j.isatra.2026.01.011","name":"Optimized actuator-fault-tolerant control using reinforcement learning for attitude dynamic system of quadrotor unmanned aerial vehicle.","source":"pubmed","abstract":"This study proposes a fault-tolerant optimized backstepping (OB) control for the attitude system having actuator failure of quadrotor unmanned aerial vehicle (QUAV). The design principle of OB technology is to perform reinforcement learning (RL) in every backstepping subsystem, so that the entire backstepping control can attain optimization performance. However, owing to the complication and intricateness of OB control algorithm, it will make the QUAV attitude control tenderly happen system failures when executing the long-time running and high-intensity works. For devising the OB attitude control to have the fault-tolerate capability, the RL is integrated with an adaptive estimation of the proportion term of unknown efficiency factor and bias signal of fault actuator model. So as to achieve the integration smooth, the RL training laws of critic and actor networks are deduced in accordance with gradient descent method of a simple positive function that is equivalent to Hamilton-Jacobi-Bellman (HJB) equation, so that it can significantly reduce the complexity of RL algorithm. Finally, effectiveness of this attitude control scheme is demonstrated through Lyapunov stability proof and simulation example.","url":"https://doi.org/10.1016/j.isatra.2026.01.011","authors":["Wen G","Li G","Zhang L","Liu L"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:46.161Z","doi":"10.1016/j.isatra.2026.01.011","updatedAt":"2026-08-31T06:40:02.907Z"},{"id":"doi:10.3389/fpubh.2026.1764053","name":"Occupational health, risk factors, and protection among unmanned aerial vehicle operator in the high-altitude region of China: an observational study.","source":"europepmc","abstract":"","url":"https://doi.org/10.3389/fpubh.2026.1764053","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:46.161Z","doi":"10.3389/fpubh.2026.1764053","updatedAt":"2026-08-31T06:40:00.188Z"},{"id":"doi:10.1038/s41598-025-28895-6","name":"Rate-distortion trade-off analysis of the power-domain ISAC waveform for the unmanned aerial vehicle.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41598-025-28895-6","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","addedAt":"2026-08-06T22:48:46.161Z","doi":"10.1038/s41598-025-28895-6","updatedAt":"2026-08-31T06:40:05.993Z"},{"id":"doi:10.3389/fpls.2025.1721484","name":"Unmanned aerial vehicle payload technology applications in agriculture and other low-altitude scenarios: a review.","source":"europepmc","abstract":"Unmanned Aerial Vehicle (UAV), as a new generation of intelligent equipment, has gradually become an essential tool across multiple industries due to its high maneuverability and strong task adaptability. UAV payload technology (UPT) serves as a key support for enhancing mission performance and expanding application scenarios. UPT is being rapidly integrated into agriculture and other key fields, emerging as a driving force for the low-altitude economy and intelligent operations. This study systematically analyzed and discussed the development status of UPT, its typical application scenarios, and the challenges faced. By conducting a comprehensive review of global research on UPT from 2012 to 2025, this review summarized research hotspots and revealed evolutionary trends. The findings demonstrated that UPT had made notable progress in typical application areas, including crop monitoring, precision agricultural operations, agricultural product harvesting and aerial transportation, power line inspection, emergency rescue, and logistics. However, UPT was still constrained by limited autonomous perception and path planning capabilities, insufficient universality of payload platforms, a lack of standardized device interfaces, as well as challenges related to endurance, communication, and operational stability under adverse weather conditions. Future research should focus on lightweight and multifunctional payload design, intelligent operation control, and modular and standardized integration, while building a \"satellite-UAV-ground\" collaborative perception and decision-making system. The outcomes of this study provide both theoretical reference and practical guidance for promoting UAV adoption in agriculture and other low-altitude application scenarios, thereby contributing to the sustainable development of smart agriculture and the low-altitude economy.","url":"https://doi.org/10.3389/fpls.2025.1721484","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","addedAt":"2026-08-06T22:48:46.161Z","doi":"10.3389/fpls.2025.1721484","updatedAt":"2026-08-31T06:40:09.763Z"},{"id":"doi:10.3390/s26072027","name":"An Automated Detection Method for Motor Vehicles Encroaching on Non-Motorized Lanes Based on Unmanned Aerial Vehicle Imagery and Civilized Behavior Monitoring.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s26072027","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:46.161Z","doi":"10.3390/s26072027","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"doi:10.3390/s25226992","name":"An Investigation into the Registration of Unmanned Surface Vehicle (USV)-Unmanned Aerial Vehicle (UAV) and UAV-UAV Point Cloud Models.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s25226992","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","addedAt":"2026-08-06T22:48:46.161Z","doi":"10.3390/s25226992","updatedAt":"2026-08-31T06:40:05.993Z"},{"id":"doi:10.3390/s25196246","name":"Real-Time Detection Sensor for Unmanned Aerial Vehicle Using an Improved YOLOv8s Algorithm.","source":"pubmed","abstract":"This study advances the unmanned aerial vehicle (UAV) localization technology within the framework of a low-altitude economy, with particular emphasis on the accurate and real-time identification and tracking of unauthorized (\"black-flying\") drones. Conventional YOLOv8s-based target detection algorithms often suffer from missed detections due to their reliance on single-frame features. To address this limitation, this paper proposes an improved detection algorithm that integrates a long-short-term memory (LSTM) network into the YOLOv8s framework. By incorporating time-series modeling, the LSTM module enables the retention of historical features and dynamic prediction of UAV trajectories. The loss function combines bounding box regression loss with binary cross-entropy and is optimized using the Adam algorithm to enhance training convergence. The training data distribution is validated through Monte Carlo random sampling, which improves the model's generalization to complex scenes. Simulation results demonstrate that the proposed method significantly enhances UAV detection performance. In addition, when deployed on the RK3588-based embedded system, the method achieves a low false negative rate and exhibits robust detection capabilities, indicating strong potential for practical applications in airspace management and counter-UAV operations.","url":"https://doi.org/10.3390/s25196246","authors":["Lu F","Zeng C","Shi H","Xu Y","Fu S"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025","addedAt":"2026-08-06T22:48:46.161Z","doi":"10.3390/s25196246","updatedAt":"2026-08-31T06:40:02.532Z"},{"id":"doi:10.3389/fpls.2025.1665672","name":"Automatic detection and counting of wheat seedling based on unmanned aerial vehicle images.","source":"europepmc","abstract":"","url":"https://doi.org/10.3389/fpls.2025.1665672","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","addedAt":"2026-08-06T22:48:46.161Z","doi":"10.3389/fpls.2025.1665672","updatedAt":"2026-08-31T06:39:57.704Z"},{"id":"doi:10.1371/journal.pone.0343564","name":"Line-of-sight stability in unmanned aerial vehicle relays for hybrid free-space optical and visible light communication links under atmospheric effects.","source":"europepmc","abstract":"","url":"https://doi.org/10.1371/journal.pone.0343564","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:46.161Z","doi":"10.1371/journal.pone.0343564","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"doi:10.21203/rs.3.rs-7725332/v1","name":"Direct sampling and bioanalyses of atmospheric bioaerosols via an unmanned aerial vehicle over S17 Base, East Antarctica","source":"europepmc","abstract":"Abstract Atmospheric bioaerosol aerosol sampling is being extensively conducted in Antarctica. In this study, bioaerosol sampling was conducted at a 900-m altitude over S17 Base in the coastal region of Antarctica using an unmanned aerial vehicle (UAV) on January 10, 2019. Based on the metrological data collected using the UAV, bioaerosol samples were obtained from a high mixed layer and/or the low free troposphere. Bacteria belonging to the class Chloroplast were detected in the upper air. Those were also observed at an altitude of about 1,000 m over Syowa Station in 2013 (Kobayashi, 2022a), suggesting that they may be persistent in the upper atmosphere over East Antarctica. In the upper air, bacteria belonging to the genera Arcobacter , Finegoldia , and Methyloversatilis were particularly detected. Backward trajectory analyses of the air mass, revealed that these bacteria may have been transported long distances from outside the Antarctic continent by dynamic atmospheric phenomena such as polar circulation.","url":"https://doi.org/10.21203/rs.3.rs-7725332/v1","authors":["F. Kobayashi"],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","addedAt":"2026-08-06T22:48:46.161Z","doi":"10.21203/rs.3.rs-7725332/v1","updatedAt":"2026-08-31T06:40:05.995Z"},{"id":"doi:10.1038/s41598-025-32347-6","name":"Temporal-aware transformer networks for state of charge multi-output prediction in unmanned aerial vehicle lithium-ion batteries.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41598-025-32347-6","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","addedAt":"2026-08-06T22:48:46.161Z","doi":"10.1038/s41598-025-32347-6","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"doi:10.1016/j.scitotenv.2025.180866","name":"Pesticide spray drift and risk assessment using unmanned aerial vehicle (UAV) sprayer and traditional electric knapsack sprayer (EKS).","source":"europepmc","abstract":"","url":"https://doi.org/10.1016/j.scitotenv.2025.180866","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","addedAt":"2026-08-06T22:48:46.161Z","doi":"10.1016/j.scitotenv.2025.180866","updatedAt":"2026-08-31T06:40:05.993Z"},{"id":"doi:10.1016/j.plaphe.2025.100101","name":"Precise Image Color Correction Based on Dual Unmanned Aerial Vehicle Cooperative Flight.","source":"europepmc","abstract":"","url":"https://doi.org/10.1016/j.plaphe.2025.100101","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","addedAt":"2026-08-06T22:48:46.162Z","doi":"10.1016/j.plaphe.2025.100101","updatedAt":"2026-08-31T06:39:57.704Z"},{"id":"doi:10.3390/ani15121794","name":"An Efficient Algorithm for Small Livestock Object Detection in Unmanned Aerial Vehicle Imagery.","source":"pubmed","abstract":"Livestock population surveys are crucial for grassland management tasks such as health and epidemic prevention, grazing prohibition, rest grazing, and forage-livestock balance assessment. These tasks are integral to the modernization and upgrading of the livestock industry and the sustainable development of grasslands. Unmanned aerial vehicles (UAVs) provide significant advantages in flexibility and maneuverability, making them ideal for livestock population surveys. However, grazing livestock in UAV images often appear small and densely packed, leading to identification errors. To address this challenge, we propose an efficient Livestock Network (LSNET) algorithm, a novel YOLOv7-based network. Our approach incorporates a low-level prediction head (P2) to detect small objects from shallow feature maps, while removing a deep-level prediction head (P5) to mitigate the effects of excessive down-sampling. To capture high-level semantic features, we introduce the Large Kernel Attentions Spatial Pyramid Pooling (LKASPP) module. In addition, we replaced the original CIoU with the WIoU v3 loss function. Furthermore, we developed a dataset of grazing livestock for deep learning using UAV images from the Prairie Chenbarhu Banner in Hulunbuir, Inner Mongolia. Our results demonstrate that the proposed module significantly improves the detection accuracy for small livestock objects, with the mean Average Precision (mAP) increasing by 1.47% compared to YOLOv7. Thus, this work offers a novel and practical solution for livestock detection in expansive farms. It overcomes the limitations of existing methods and contributes to more effective livestock management and advancements in agricultural technology.","url":"https://doi.org/10.3390/ani15121794","authors":["Chen W","Wang D","Xie X"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025","addedAt":"2026-08-06T22:48:46.162Z","doi":"10.3390/ani15121794","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"doi:10.3390/s24248094","name":"Advances in Unmanned Aerial Vehicle-Based Sensing and Imaging.","source":"europepmc","abstract":"Unmanned Aerial Vehicle (UAV)-based sensing and imaging represent a cutting-edge approach to addressing the critical need for the real-time, accurate, and automated data collection and analysis of physical events on Earth’s surface [...]","url":"https://doi.org/10.3390/s24248094","authors":["Marios Antonakakis","Michail Zervakis"],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2024","addedAt":"2026-08-06T22:48:46.162Z","doi":"10.3390/s24248094","updatedAt":"2026-08-31T06:40:00.188Z"},{"id":"doi:10.1038/s41467-025-67889-w","name":"A smart nail platform for wireless subsoil health monitoring via unmanned aerial vehicle-assisted radio frequency interrogation.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41467-025-67889-w","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","addedAt":"2026-08-06T22:48:46.162Z","doi":"10.1038/s41467-025-67889-w","updatedAt":"2026-08-31T06:39:57.704Z"},{"id":"doi:10.3389/fpls.2025.1569229","name":"Unmanned aerial vehicle image detection of maize-YOLOv8n seedling leakage.","source":"pubmed","abstract":"Missing seedlings is a common issue in field maize planting, arising from limitations in sowing machinery and seed germination rates. This phenomenon directly impacts maize yields owing to the poor effect of unmanned aerial vehicle (UAV) remote sensing images based on seedling leakage detection in fields. Therefore, this study proposed a method for detecting missing seedling in fields based on UAV remote sensing to quickly and accurately detect missing seedling and facilitate subsequent crop management decisions.","url":"https://doi.org/10.3389/fpls.2025.1569229","authors":["Gao J","Tan F","Cui J","Hou Z"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025","addedAt":"2026-08-06T22:48:46.162Z","doi":"10.3389/fpls.2025.1569229","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"doi:10.1038/s41598-025-07321-x","name":"Ice velocity in the Yellow River bends using unmanned aerial vehicle imagery.","source":"pubmed","abstract":"Ice velocity is a critical parameter in river ice monitoring, playing a vital role in analyzing ice blockages, the freeze-up process, and ice jam locations. It provides essential references for freeze-up forecasting. This study utilized UAV (Unmanned Aerial Vehicle) remote sensing imagery from December 2023, during the ice run period, combined with the Pyramidal Lucas-Kanade Optical Flow Algorithm to quantify ice velocity distribution across multiple bends during the Yellow River's ice run period. The study identified low ice velocity cross-sections at bend apexes, where velocity decreased sharply, leading to ice floe accumulation and an increased probability of ice jams. Significant spatial variations in ice velocity within bends were observed. Curvature and constriction ratios were identified as key factors influencing ice velocity distribution. Bends with high curvature and significant constriction should be prioritized for monitoring and early warning. The study also revealed a correlation between the low ice velocity cross-section at the apex of Shisifenzi Bend and the location of the initial ice jam during the ice run period, suggesting its potential as a scientific guide for ice jam risk forecasting. These findings provide valuable insights for freeze-up forecasting and flood prevention in the Yellow River.","url":"https://doi.org/10.1038/s41598-025-07321-x","authors":["Xue Z","Ji H","Luo H","Liu B"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025","addedAt":"2026-08-06T22:48:46.162Z","doi":"10.1038/s41598-025-07321-x","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"doi:10.1002/tpg2.70082","name":"Leveraging unmanned aerial vehicle derived multispectral data for improved genomic prediction in potato (Solanum tuberosum).","source":"pubmed","abstract":"Multispectral leaf canopy reflectance as measured by unmanned aerial vehicles is the result of genetic and environmental interactions driving plant physiochemical processes. These measures can then be used to construct relationship matrices for modeling genetic main effects. This type of phenotypic prediction is particularly relevant for trials with many entries, such as those used in early generation potato (Solanum tuberosum) breeding. We compared three methods for making predictions in our potato breeding program: first, using multispectral-derived relationship matrices; second, using the traditional approach based on genomic derived relationships; and third, using a combination of both. Multispectral bands were collected at five different time points for two market classes of potato: chipping and fresh market. We modeled genetic main effects for yield and quality traits at each time point and all stages combined. Models with multispectral relationship matrices exhibited better prediction accuracy for yield and roundness than genomic only models and models featuring spectra plus genomic kernels outperformed both single-kernel predictions in terms of accuracy for most traits. Time points were variably informative depending on the trait measured, however, for all traits combining across time points performed as well or better than single time point models. Similarly, using feature selection to limit our models to important variables did not improve prediction accuracy significantly. This work highlights two potential uses for spectral data in genomic prediction: first, as an alternative to genetic data and second, in combination with genetic data to increase precision of selection.","url":"https://doi.org/10.1002/tpg2.70082","authors":["Yusuf M","Meng X","Stefaniak TR","Montesinos-López OA","Shannon LM"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025","addedAt":"2026-08-06T22:48:46.162Z","doi":"10.1002/tpg2.70082","updatedAt":"2026-08-31T06:40:02.533Z"},{"id":"doi:10.1038/s41598-025-19431-7","name":"A 2-dimension linguistic Pythagorean fuzzy decision-making method with application to unmanned aerial vehicle contribution assessment.","source":"pubmed","abstract":"Assessing the contribution of an unmanned aerial vehicle to the effectiveness of a swarm is a challenging problem, as it depends heavily on expert judgments that are often subjective, imprecise, and expressed with varying levels of confidence. Existing decision-making methods can capture evaluative uncertainty but generally fail to represent the reliability of those evaluations within a unified framework. To address this gap, this study introduces a 2-dimension linguistic Pythagorean fuzzy variable, which simultaneously represents an expert's linguistic evaluation and the confidence attached to that evaluation under the Pythagorean fuzzy condition. The fundamental operational rules, score and accuracy functions, and aggregation operators for 2-dimension linguistic Pythagorean fuzzy variables are developed, and their algebraic properties are formally established. Building on this representation, a multi-criteria decision-making method is proposed for unmanned aerial vehicle contribution assessment. A practical case study demonstrates that the method produces results that are consistent with established approaches, strongly correlated in ranking performance, and sensitive to differences in expert confidence, thereby providing both reliability and interpretability. Nevertheless, the current study assumes fixed linguistic term sets and a static confidence dimension, and the case study is limited to a small number of evaluation criteria. Future research will address calibration of linguistic scales, dynamic updating of confidence, and broader validation across domains. Overall, the proposed approach offers a structured and reliable tool for evaluating unmanned aerial vehicle contributions in swarm operations and enriches the methodological foundations for decision-making under uncertainty.","url":"https://doi.org/10.1038/s41598-025-19431-7","authors":["Gao F","He W"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025","addedAt":"2026-08-06T22:48:46.162Z","doi":"10.1038/s41598-025-19431-7","updatedAt":"2026-08-31T06:40:08.030Z"},{"id":"doi:10.1038/s41598-025-03552-0","name":"Control of a fixed wing unmanned aerial vehicle using a robust fractional order controller.","source":"pubmed","abstract":"Fixed wing Unmanned Aerial Vehicles (FWUAVs) are widely utilized in both military and civilian sectors due to their ability to perform risky, inaccessible operations. The mathematical model of FWUAVs is complex, incorporating physical laws and coordinate systems with transformation matrices. In addition, controlling FWUAVs is challenging due to their nonlinear and coupled dynamics. This paper focuses on tracking trajectories for fixed wing unmanned aerial vehicles (FWUAVs) using a Robust Fractional Order Sliding Mode Controller (RFOSMC). An RFOSMC, which combines a conventional Sliding Mode Controller (SMC) with flexible fractional calculus, is proposed in this paper. Particle Swarm Optimization (PSO) is used to tune the control gains of RFOSMC. External disturbances and parameter variation are added to evaluate the controller's performance. Comparative studies have been done with Linear Quadratic Regulator (LQR), Fractional Order PID (FOPID), SMC, and robust FOSMC. RFOSMC performs better than LQR, FOPID, and SMC in tracking accuracy, response speed, and overshoot. In addition, the performance comparison of RFOSMC and conventional SMC has been done based on performance index values of errors (ITAE), and RFOSMC showed a 76.5918% improvement. For a step input, RFOSMC showed the smallest settling time of 0.835s compared with 2.724s for SMC and 4.8573s for FOPID. Open-loop model verification and overall control system of FWUAV are done using MATLAB/Simulink software.","url":"https://doi.org/10.1038/s41598-025-03552-0","authors":["Metekia EW","Asfaw WA","Abdissa CM","Lemma LN"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025","addedAt":"2026-08-06T22:48:46.162Z","doi":"10.1038/s41598-025-03552-0","updatedAt":"2026-08-31T06:40:09.764Z"},{"id":"doi:10.1038/s41598-026-35096-2","name":"Estimation and spatial distribution of soil organic carbon content in farmland using unmanned aerial vehicle hyperspectral remote sensing technology.","source":"pubmed","abstract":"Accurately estimating soil organic carbon (SOC) is essential for evaluating soil quality and supporting precision farmland management. Traditional laboratory methods provide reliable results but are labor-intensive and spatially limited. UAV hyperspectral remote sensing offers high-resolution data that can improve SOC estimation, yet its performance under heterogeneous farmland conditions requires further verification. In this study, three typical farmland areas in the Huangshui River Basin, Qinghai Province, were selected to investigate the potential of UAV hyperspectral imagery for SOC estimation and mapping. A total of 296 soil samples were collected, and laboratory spectra were resampled to match UAV spectral characteristics. Seven spectral transformations were tested, and the combination of multiplicative scatter correction (MSC) and first-order derivative achieved the highest correlation with SOC (r&#x2009;=&#x2009;0.91). Five regression models were evaluated, and the random forest model performed best (R&#xb2; = 0.90, RPD&#x2009;=&#x2009;3.11). The optimal model was applied to UAV images to generate fine-scale SOC distribution maps, which showed clear spatial heterogeneity across the three farmland areas and were consistent with measured SOC values. These results demonstrate the feasibility of using UAV hyperspectral imagery for high-resolution SOC estimation and provide methodological reference for precision agriculture.","url":"https://doi.org/10.1038/s41598-026-35096-2","authors":["Song Q","Zhang W"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:46.162Z","doi":"10.1038/s41598-026-35096-2","updatedAt":"2026-08-31T06:40:02.907Z"},{"id":"doi:10.1038/s41598-025-95854-6","name":"Unmanned aerial vehicle routing based on frog-leaping optimization algorithm.","source":"pubmed","abstract":"Routing in Unmanned Aerial Vehicle (UAV) networks is critical for effective data transfer and overall network performance. However, current UAV routing algorithms exhibit high latency, poor route selection, excessive energy consumption, and limited flexibility in changing network topologies. To overcome these limitations, this paper proposes a new routing strategy that uses the Shuffled Frog Leaping Algorithm (SFLA) to improve UAV network routing. Using a two-phase optimization approach considering Quality of Service (QoS), our system combines global exploration with local exploitation, unlike previous techniques. This hybrid method enables UAVs to dynamically change their trajectories, helping to choose the best path even in fast-changing surroundings. Our approach's self-adaptive population-based search mechanism accelerates convergence and removes a common weakness in traditional metaheuristic algorithms-premature standstill elimination-which determines its effectiveness. By constantly adjusting UAV routing patterns depending on energy economy, latency, and throughput characteristics, SFLA guarantees that UAV networks transmit effectively and consistently. Based on experimental data, our method outperforms benchmark alternatives in terms of energy use by 3.11%, latency by 5.14%, and network lifetime by 2.25%. These developments make our approach ideal for real-time applications including aerial surveillance and disaster response that call for high data transfer speeds and great energy economy.","url":"https://doi.org/10.1038/s41598-025-95854-6","authors":["Farhad Maleki","Mohammad Ali Jabraeil Jamali","Arash Heidari","Maleki F","Jamali MAJ","Heidari A"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025","addedAt":"2026-08-06T22:48:46.162Z","doi":"10.1038/s41598-025-95854-6","updatedAt":"2026-08-31T06:40:09.764Z"},{"id":"doi:10.3389/fpls.2025.1619695","name":"&lt;i&gt;Erannis jacobsoni&lt;/i&gt; disturbance detection based on unmanned aerial vehicle red edge spectral features.","source":"pubmed","abstract":"Boreal coniferous forests play important roles in global ecological and economic processes. Mongolia, rich in forest resources and part of the boreal ecosystem, faces significant deforestation due to Erannis jacobsoni Djak (Lepidoptera: Geometridae), a rapidly spreading needle pest in coniferous forests. This study aims to provide with rapid and precise pest occurrence data, enabling timely and effective control measures to preserve and enhance the agroforestry ecological environment. In vegetation disturbance detection, UAV remote sensing exhibits operational performance with unique spatiotemporal advantages (notably cm-resolution data acquisition and flexible revisit cycles) unattainable through traditional ground surveys or satellite platforms. Therefore, we used unmanned aerial vehicle (UAV) imagery from representative areas affected by E. jacobsoni , calculated conventional and red edge spectral indices, extracted features sensitive to pest infestation levels, detected disturbances using machine-learning algorithms, and analyzed the pest's spatial distribution. The sequential forward selection (SFS) and successive projection algorithms (SPA) can effectively extract features sensitive to the response to pest disturbance, in which the red edge (RE) features have a greater effect than the conventional (CONV) features in detecting the pest. The detection models developed using machine learning all achieved accuracy rates above 82%, with the Back Propagation Neural Network (BPNN) performing the best. Spatial distribution analysis based on the model revealed that E. jacobsoni primarily exhibited a pattern of outward diffusion from the center of aggregation during the outbreak period.","url":"https://doi.org/10.3389/fpls.2025.1619695","authors":["Bai L","Huang X","Dashzebeg G","Ariunaa M","Yin S","Bao Y","Bao G","Tong S","Dorjsuren A","Davaadorj E"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025","addedAt":"2026-08-06T22:48:46.162Z","doi":"10.3389/fpls.2025.1619695","updatedAt":"2026-08-31T06:40:02.533Z"},{"id":"doi:10.3390/s25082600","name":"A New Algorithm for Visual Navigation in Unmanned Aerial Vehicle Water Surface Inspection.","source":"pubmed","abstract":"Water surface inspection is a crucial instrument for safeguarding the aquatic environment. UAVs enhance the efficiency of water area inspections due to their high mobility and extensive coverage. This paper introduces two UAV inspection methodologies for the characteristics of rivers and lakes, along with an efficient semantic segmentation algorithm, WaterSegLite (Water Segmentation Lightweight algorithm), for UAV visual navigation. The algorithm employs the UAV's aerial perspective alongside a streamlined neural network architecture to facilitate rapid real-time segmentation of water bodies and to furnish positional data to the UAV for visual navigation. The experimental findings indicate that WaterSegLite achieves a segmentation accuracy (mIoU) of 93.81% and an F1 score of 95.44%, surpassing the baseline model by 2.7% and 2.23%, respectively. Simultaneously, the processing frame rate of this algorithm on the airborne device attains 28.27 frames per second, fully satisfying the requirements for real-time water surface inspection by UAVs. This paper offers technical assistance for UAV inspection techniques in aquatic environments and presents innovative concepts for the intelligent advancement of water surface inspection.","url":"https://doi.org/10.3390/s25082600","authors":["Han J","Gao X","Song L","Fang J","Tao Y","Deng H","Yao J"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025","addedAt":"2026-08-06T22:48:46.162Z","doi":"10.3390/s25082600","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"doi:10.21203/rs.3.rs-7708917/v1","name":"Fusion Guard: A Multi-Scale Sequential Fusion Framework for Small Target Detection in Unmanned Aerial Vehicle Scenarios Using YOLO-World","source":"europepmc","abstract":"Abstract This paper presents a multi-scale sequence fusion framework, Fusion Guard, built upon YOLO-World to enhance small target detection from UAV scenarios. To overcome the limitations of traditional models in feature convergence and detail preservation, Fusion Guard incorporates three key modules: Triple Feature Encoding, Scale Sequence Feature Fusion, and Feature Sum Aggregator, which collectively strengthen feature extraction and integration. Moreover, Selective Boundary Aggregation utilizes a bidirectional dynamic fusion approach to enhance feature complementarity. In addition, the integration of the small object detection layer with high-resolution features significantly improves detection performance. To further improve target localization, the WIoU v3 loss function is incorporated into the model. The experimental results indicate that the model presented in this study achieves a 5.7% increase in mAP@0.5 and a 3.2% improvement in mAP@0.5:0.95 on the VisDrone2019 dataset. Additionally, precision and recall improve by about 5%. On the DOTA dataset, the model achieves notable performance enhancements 1 while reducing parameters by 0.5M and model size by 0.7MB, and it also supports customizable detection categories. In general, Fusion Guard demonstrates excellent performance and versatility in detecting small objects across various tasks.","url":"https://doi.org/10.21203/rs.3.rs-7708917/v1","authors":["Li-Juan Liu","Ke Lv","Yanhua Ma","Hong Tian"],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","addedAt":"2026-08-06T22:48:46.162Z","doi":"10.21203/rs.3.rs-7708917/v1","updatedAt":"2026-08-31T06:40:05.995Z"},{"id":"doi:10.3390/e27090897","name":"Bridging Intuition and Data: A Unified Bayesian Framework for Optimizing Unmanned Aerial Vehicle Swarm Performance.","source":"pubmed","abstract":"The swift growth of the low-altitude economic ecosystem and Unmanned Aerial Vehicle (UAV) swarm applications across diverse sectors presents significant challenges for engineering managers in terms of effective performance evaluation and operational optimization. Traditional evaluation methods often struggle with the inherent complexities, dynamic nature, and multi-faceted performance criteria of UAV swarms. This study introduces a novel Bayesian Network (BN)-based multicriteria decision-making framework that systematically integrates expert intuition with real-time data. By employing variance decomposition, the framework establishes theoretically grounded, bidirectional mapping between expert-assigned weights and the network's probabilistic parameters, creating a unified model of subjective expertise and objective data. Comprehensive validation demonstrates the framework's efficacy in identifying critical performance drivers, including environmental awareness, communication ability, and a collaborative decision. Ultimately, our work provides engineering managers with a transparent and adaptive tool, offering actionable insights to inform resource allocation, guide technology adoption, and enhance the overall operational effectiveness of complex UAV swarm systems.","url":"https://doi.org/10.3390/e27090897","authors":["Zhong R","Wang Z","Wang H","Jin Y","Bai S","Gao X"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025","addedAt":"2026-08-06T22:48:46.162Z","doi":"10.3390/e27090897","updatedAt":"2026-08-31T06:40:08.030Z"},{"id":"doi:10.1371/journal.pone.0316933","name":"A reliable unmanned aerial vehicle multi-ship tracking method.","source":"europepmc","abstract":"","url":"https://doi.org/10.1371/journal.pone.0316933","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","addedAt":"2026-08-06T22:48:46.162Z","doi":"10.1371/journal.pone.0316933","updatedAt":"2026-08-31T06:39:57.704Z"},{"id":"doi:10.3390/s25113468","name":"MEP-YOLOv5s: Small-Target Detection Model for Unmanned Aerial Vehicle-Captured Images.","source":"pubmed","abstract":"Due to complex backgrounds, significant scale variations of targets, and dense distributions of small objects in Unmanned Aerial Vehicle (UAV) aerial images, traditional object detection algorithms face challenges in adapting to such scenarios. This article introduces a drone detection model, MEP-YOLOv5s, which optimizes the Backbone, Neck layer, and C3 module based on YOLOv5s, and combines effective attention mechanisms to improve the training efficiency of the model by replacing the traditional CIoU loss (Complete Intersection over Union) with MPDIoU (Minimum Point Distance-based Intersection over Union) loss. This model demonstrates an excellent performance in handling typical drone detection scenarios, especially for small and dense objects. To holistically balance the detection accuracy and inference efficiency, we propose a Comprehensive Performance Indicator (CPI), which evaluates the model performance by considering both accuracy and efficiency. Evaluations on the VisDrone2019 dataset demonstrate that MEP-YOLOv5s achieves a 3.3% improvement in precision (P), a 20.9% increase in mAP@0.5, and a 19.86% gain in the CPI (&#x3b1; = 0.5) compared with the baseline model. Additional experiments on the NWPU VHR-10 dataset confirm that MEP-YOLOv5s outperforms the existing state-of-the-art methods, offering a robust solution for UAV-based small object detection with enhanced feature extraction and attention-driven adaptability.","url":"https://doi.org/10.3390/s25113468","authors":["Zhou S","Zhang S","Li C","Liu S","Chen D"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025","addedAt":"2026-08-06T22:48:46.162Z","doi":"10.3390/s25113468","updatedAt":"2026-08-31T06:40:02.532Z"},{"id":"doi:10.1371/journal.pone.0319595","name":"Retraction: Super-resolution reconstruction of real infrared images acquired with unmanned aerial vehicle.","source":"pubmed","abstract":"","url":"https://doi.org/10.1371/journal.pone.0319595","authors":["PLOS ONE Editors"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025","addedAt":"2026-08-06T22:48:46.162Z","doi":"10.1371/journal.pone.0319595","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"doi:10.3390/mi16060632","name":"Highly Accurate Attitude Estimation of Unmanned Aerial Vehicle Payloads Using Low-Cost MEMS.","source":"pubmed","abstract":"Low-cost MEMS sensors are widely utilized in UAV platforms to address attitude estimation problems due to their compact size, low power consumption, and cost-effectiveness. Diverse UAV payloads pose new challenges for attitude estimation, such as magnetic interference environments and high dynamic environments. In this paper, we propose a hierarchical decoupled attitude estimation algorithm, termed HDAEA. Initially, a novel hierarchical decoupling approach is introduced for the attitude and angle representation of the direction cosine matrix, enabling the representation of angles in a new manner. This method reduces the data dimensionality and nonlinearity of observation equations. Furthermore, a magnetic interference identification algorithm is proposed to compute the magnetic interference intensity accurately and quantitatively. Combining the quantified errors of estimated state variables, an error model for magnetic interference and attitude angles in high-dynamic environments is constructed. Subsequently, the proposed error model is employed to calibrate the hierarchical decoupled angles using accelerometer and magnetometer measurements, effectively mitigating the impact of magnetic interference on the calculation of pitch angles and roll angles. Moreover, the integration of the proposed hierarchical decoupled attitude estimation algorithm with the error-state extended Kalman filter reduces system nonlinearity and minimizes linearization errors. Experimental results demonstrate that HDAEA exhibits significantly improved attitude estimation accuracy of UAV payloads.","url":"https://doi.org/10.3390/mi16060632","authors":["Zhou X","Chen L","Sun C","Jia W","Yi N","Sun W"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025","addedAt":"2026-08-06T22:48:46.162Z","doi":"10.3390/mi16060632","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"doi:10.1038/s41597-025-04783-6","name":"Integrated unmanned aerial vehicle-based LiDAR and RGB data for individual cattle growth monitoring in precision livestock farming.","source":"pubmed","abstract":"Monitoring cattle growth on an individual level is essential in precision livestock farming. Our study utilises an Unmanned Aerial Vehicle (UAV)-based Light Detection and Ranging (LiDAR) system to monitor the growth of 96 semi-free-range beef cattle. We conducted drone campaigns with varying flight speeds and heights under different environmental conditions. The resulting point clouds were processed to segment individual cattle with both standing and lying postures. Concurrently, UAV-based RGB data underwent instance segmentation, categorising cattle images at an individual level. In addition, ground-based cameras recorded the cattle weighing process. Video frames were extracted, selected, segmented, and stored, providing diverse views of each animal. These individual point clouds were processed, resulting in the extracted body measurements (such as height, width, and length), and volumes of point clouds. These results can facilitate the evaluation of the live body weight of cattle, corroborated with the ground truth data provided. Segmented RGB data can support the identification of cattle based on biometric characteristics, such as coat patterns. This comprehensive dataset holds significant potential for research in cattle monitoring using three-dimensional methods.","url":"https://doi.org/10.1038/s41597-025-04783-6","authors":["Wang Y","Kooistra L","Mücher S","Wang W"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025","addedAt":"2026-08-06T22:48:46.162Z","doi":"10.1038/s41597-025-04783-6","updatedAt":"2026-08-31T06:40:02.533Z"},{"id":"doi:10.1093/inteam/vjae003","name":"RGB sensor integrated into unmanned aerial vehicle for monitoring cyanobacterial density in reservoirs.","source":"europepmc","abstract":"","url":"https://doi.org/10.1093/inteam/vjae003","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","addedAt":"2026-08-06T22:48:46.162Z","doi":"10.1093/inteam/vjae003","updatedAt":"2026-08-31T06:39:57.704Z"},{"id":"doi:10.20944/preprints202504.0331.v1","name":"Cover Crop Types Influence Biomass Estimation Using Unmanned Aerial Vehicle-Mounted Multispectral Sensors","source":"europepmc","abstract":"Accurate cover crop biomass estimation is critical for evaluating their ecological benefits. Traditional methods, like destructive sampling, are labor-intensive and time-consuming. This study assesses unmanned aerial vehicle-mounted multispectral sensors to estimate biomass across oats, Austrian winter peas (AWP), turnips, and a mix of all three replicated in six experimental plots. Five spectral images were collected at two growth stages, analyzing band reflectance, nine vegetation indices, and canopy height models (CHMs) for biomass estimation. Results indicated that most vegetation indices were effective during mid-growth stages but showed reduced accuracy later. Stepwise multiple linear regression revealed that combining normalized difference red-edge (NDRE), vegetation index (NDVI), and CHM provided the best biomass model before termination (R2 = 0.90). For bitemporal images, green reflectance, CHM, near-infrared (NIR)/red ratio, and green normalized difference vegetation index (GNDVI) achieved optimal performance (R2 = 0.86). Cover crop species influenced the model performance. Oats were best modeled with enhanced vegetation index (EVI) (R2 = 0.86), AWP with red-edge reflectance (R2 = 0.71), turnips with NIR, GNDVI, and CHM (R2 = 0.95), and mixed species with NIR and blue band reflectance (R2 = 0.93). These findings demonstrate the potential of high-resolution multispectral imaging for efficient biomass assessment in precision agriculture.","url":"https://doi.org/10.20944/preprints202504.0331.v1","authors":["Sk Musfiq Us Salehin","Chiranjibi Poudyal","Nithya Rajan","Muthukumar Bagavathiannan"],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","addedAt":"2026-08-06T22:48:46.162Z","doi":"10.20944/preprints202504.0331.v1","updatedAt":"2026-08-31T06:40:05.995Z"},{"id":"doi:10.21203/rs.3.rs-5622317/v1","name":"Detection of Small Water Bodies for Vector Control Using Deep Learning on Unmanned Aerial Vehicle Multispectral Imagery","source":"europepmc","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-5622317/v1","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","addedAt":"2026-08-06T22:48:46.162Z","doi":"10.21203/rs.3.rs-5622317/v1","updatedAt":"2026-08-31T06:40:05.995Z"},{"id":"doi:10.1038/s41597-024-03952-3","name":"An unmanned aerial vehicle captured dataset for railroad segmentation and obstacle detection.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41597-024-03952-3","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2024","addedAt":"2026-08-06T22:48:46.162Z","doi":"10.1038/s41597-024-03952-3","updatedAt":"2026-08-31T06:39:57.704Z"},{"id":"doi:10.1038/s41598-025-07946-y","name":"Blind source separation and unmanned aerial vehicle classification using CNN with hybrid cross-channel and spatial attention module.","source":"pubmed","abstract":"The widespread misuse of drones has become a pressing concern for both public safety and privacy in recent years. The accurate identification and classification of these devices has become a practical imperative, albeit an intricate and demanding challenge. Aiming to effectively separate mixed signals from unmanned aerial vehicles (UAVs), an improved Fast Independent Component Analysis (FastICA) algorithm is proposed. By enhancing the whitening process during the data preprocessing step, the blind source separation process becomes more stable and reliable. The experimental results indicate that the mean absolute error (MAE) of the original algorithm was 14.58%, while the MAE of the improved FastICA decreased by 10.31%, dropping to 4.27%. In order to accurately and effectively identify different types of UAVs, a UAV category recognition method based on improved convolutional neural network (CNN) is proposed. The benchmark network has been optimized by embedding a new attention module, modifying the down-sampling module, and adjusting the classifier module. The experimental results show that the improved network recognition accuracy reaches an impressive 96.30%, which is 3.01% higher than the baseline model. The experiment validates the model's performance through a series of evaluation metrics. The effectiveness of each network improvement is further corroborated by ablation experiments. This study underscores the potential and efficacy of applying convolutional neural networks in the field of UAV recognition, offering a potential technical solution for blind source separation and UAV type identification.","url":"https://doi.org/10.1038/s41598-025-07946-y","authors":["Ni J","Zhou Z"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025","addedAt":"2026-08-06T22:48:46.162Z","doi":"10.1038/s41598-025-07946-y","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"doi:10.7507/1001-5515.202506031","name":"[Brain-controlled unmanned aerial vehicle system based on meta brain computer interface open-source software platform].","source":"europepmc","abstract":"","url":"https://doi.org/10.7507/1001-5515.202506031","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","addedAt":"2026-08-06T22:48:46.162Z","doi":"10.7507/1001-5515.202506031","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"doi:10.3390/s24227395","name":"A Review of Unmanned Aerial Vehicle Based Antenna and Propagation Measurements.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s24227395","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2024","addedAt":"2026-08-06T22:48:46.162Z","doi":"10.3390/s24227395","updatedAt":"2026-08-31T06:39:57.704Z"},{"id":"doi:10.3390/s25072005","name":"Tent-PSO-Based Unmanned Aerial Vehicle Path Planning for Cooperative Relay Networks in Dynamic User Environments.","source":"pubmed","abstract":"Unmanned aerial vehicles (UAVs) equipped with communication devices are easy to deploy and can serve as temporary mobile communication stations, covering dynamic ground users and establishing communication links. The proper planning of UAV paths can improve user coverage while maintaining communication quality. The traditional particle swarm optimization (PSO) algorithm exhibits strong global search capabilities; however, it suffers from challenges such as uneven search coverage owing to the random distribution of the initial particle positions. Additionally, improper parameter selection often leads to premature convergence to local optima. This study proposes a method for multi-UAV coverage of dynamic users by combining Tent chaotic mapping with PSO (Tent-PSO). By using Tent chaotic mapping to adjust a UAV's speed and position, the method ensures that particles are evenly distributed in the search space. Simulation results demonstrate that Tent-PSO improves the coverage of the global optimal solution by 10% and increases throughput by at least 37%, confirming its effectiveness in covering dynamic user scenarios.","url":"https://doi.org/10.3390/s25072005","authors":["Liu S","Zhou W","Qin M","Peng X"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025","addedAt":"2026-08-06T22:48:46.162Z","doi":"10.3390/s25072005","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"doi:10.3389/fnbot.2025.1582995","name":"Unmanned aerial vehicle based multi-person detection via deep neural network models.","source":"pubmed","abstract":"Understanding human actions in complex environments is crucial for advancing applications in areas such as surveillance, robotics, and autonomous systems. Identifying actions from UAV-recorded videos becomes more challenging as the task presents unique challenges, including motion blur, dynamic background, lighting variations, and varying viewpoints. The presented work develops a deep learning system that recognizes multi-person behaviors from data gathered by UAVs. The proposed system provides higher recognition accuracy while maintaining robustness along with dynamic environmental adaptability through the integration of different features and neural network models. The study supports the wider development of neural network systems utilized in complicated contexts while creating intelligent UAV applications utilizing neural networks.","url":"https://doi.org/10.3389/fnbot.2025.1582995","authors":["Alshehri M","Zahoor L","AlQahtani Y","Alshahrani A","AlHammadi DA","Jalal A","Liu H"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025","addedAt":"2026-08-06T22:48:46.162Z","doi":"10.3389/fnbot.2025.1582995","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"arxiv:2510.03497v1","name":"Machine Learning-Driven Prediction of Lithium-Ion Battery Power Capability for eVTOL Aircraft","source":"arxiv","abstract":"Electric vertical take-off and landing (eVTOL) aircraft have emerged as a promising solution to transform urban transportation. They present a few technical challenges for battery management, a prominent one of which is the prediction of the power capability of their lithium-ion battery systems. The challenge originates from the high C-rate discharging conditions required during eVTOL flights as well as the complexity of lithium-ion batteries' electro-thermal dynamics. This paper, for the first time, formulates a power limit prediction problem for eVTOL which explicitly considers long prediction horizons and the possible occurrence of emergency landings. We then harness machine learning to solve this problem in two intertwined ways. First, we adopt a dynamic model that integrates physics with machine learning to predict a lithium-ion battery's voltage and temperature behaviors with high accuracy. Second, while performing search for the maximum power, we leverage machine learning to predict the remaining discharge time and use the prediction to accelerate the search with fast computation. Our validation results show the effectiveness of the proposed study for eVTOL operations.","url":"https://arxiv.org/abs/2510.03497v1","authors":["Hao Tu","Yebin Wang","Shaoshuai Mou","Huazhen Fang"],"tags":["eess.SY"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2025-10-03T20:22:25Z","addedAt":"2026-08-06T22:48:47.330Z"},{"id":"arxiv:2604.06093v1","name":"eVTOL Aircraft Energy Overhead Estimation under Conflict Resolution in High-Density Airspaces","source":"arxiv","abstract":"Electric vertical takeoff and landing (eVTOL) aircraft operating in high-density urban airspace must maintain safe separation through tactical conflict resolution, yet the energy cost of such maneuvers has not been systematically quantified. This paper investigates how conflict-resolution maneuvers under the Modified Voltage Potential (MVP) algorithm affect eVTOL energy consumption. Using a physics-based power model integrated within a traffic simulation, we analyze approximately 71,767 en route sections within a sector, across traffic densities of 10-60 simultaneous aircraft. The main finding is that MVP-based deconfliction is energy-efficient: median energy overhead remains below 1.5% across all density levels, and the majority of en route flights within the sector incur negligible penalty. However, the distribution exhibits pronounced right-skewness, with tail cases reaching 44% overhead at the highest densities due to sustained multi-aircraft conflicts. The 95th percentile ranges from 3.84% to 5.3%, suggesting that a 4-5% reserve margin accommodates the vast majority of tactical deconfliction scenarios. To support operational planning, we develop a machine learning model that estimates energy overhead at mission initiation. Because conflict outcomes depend on future traffic interactions that cannot be known in advance, the model provides both point estimates and uncertainty bounds. These bounds are conservative; actual outcomes fall within the predicted range more often than the stated confidence level, making them suitable for safety-critical reserve planning. Together, these results validate MVP's suitability for energy-constrained eVTOL operations and provide quantitative guidance for reserve energy determination in Advanced Air Mobility.","url":"https://arxiv.org/abs/2604.06093v1","authors":["Alex Zongo","Peng Wei"],"tags":["eess.SY","cs.LG","cs.RO"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2026-04-07T17:07:39Z","addedAt":"2026-08-06T22:48:47.330Z"},{"id":"arxiv:2403.14877v1","name":"TEeVTOL: Balancing Energy and Time Efficiency in eVTOL Aircraft Path Planning Across City-Scale Wind Fields","source":"arxiv","abstract":"Electric vertical-takeoff and landing (eVTOL) aircraft, recognized for their maneuverability and flexibility, offer a promising alternative to our transportation system. However, the operational effectiveness of these aircraft faces many challenges, such as the delicate balance between energy and time efficiency, stemming from unpredictable environmental factors, including wind fields. Mathematical modeling-based approaches have been adopted to plan aircraft flight path in urban wind fields with the goal to save energy and time costs. While effective, they are limited in adapting to dynamic and complex environments. To optimize energy and time efficiency in eVTOL's flight through dynamic wind fields, we introduce a novel path planning method leveraging deep reinforcement learning. We assess our method with extensive experiments, comparing it to Dijkstra's algorithm -- the theoretically optimal approach for determining shortest paths in a weighted graph, where weights represent either energy or time cost. The results show that our method achieves a graceful balance between energy and time efficiency, closely resembling the theoretically optimal values for both objectives.","url":"https://arxiv.org/abs/2403.14877v1","authors":["Songyang Liu","Shuai Li","Haochen Li","Weizi Li","Jindong Tan"],"tags":["cs.RO"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2024-03-21T22:54:08Z","addedAt":"2026-08-06T22:48:47.330Z"},{"id":"arxiv:2601.14415v1","name":"A Survey of Security Challenges and Solutions for Advanced Air Mobility and eVTOL Aircraft","source":"arxiv","abstract":"This survey reviews the existing and envisioned security vulnerabilities and defense mechanisms relevant to Advanced Air Mobility (AAM) systems, with a focus on electric vertical takeoff and landing (eVTOL) aircraft. Drawing from vulnerabilities in the avionics in commercial aviation and the automated unmanned aerial systems (UAS), the paper presents a taxonomy of attacks, analyzes mitigation strategies, and proposes a secure system architecture tailored to the future AAM ecosystem. The paper also highlights key threat vectors, including Global Positioning System (GPS) jamming/spoofing, ATC radio frequency misuse, attacks on TCAS and ADS-B, possible backdoor via Electronic Flight Bag (EFB), new vulnerabilities introduced by aircraft automation and connectivity, and risks from flight management system (FMS) software, database and cloud services. Finally, this paper describes emerging defense techniques against these attacks, and open technical problems to address toward better defense mechanisms.","url":"https://arxiv.org/abs/2601.14415v1","authors":["Mahyar Ghazanfari","Iman Sharifi","Peng Wei","Noah Dahle","Abel Diaz Gonzalez","Austin Coursey","Bryce Bjorkman","Cailani Lemieux-Mack","Robert Canady","Abenezer Taye","Bryan C. Ward","Xenofon Koutsoukos"],"tags":["cs.CR","Avionics","Backdoor","Computer security","Air traffic management","Key (lock)"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2026-01-20","addedAt":"2026-08-06T22:48:47.330Z","updatedAt":"2026-08-31T14:45:35.251Z"},{"id":"arxiv:2006.12635v1","name":"Unified controller for take-off and landing for a fixed-wing aircraft","source":"arxiv","abstract":"Take-off and landing are the most important maneuvers for an aircraft's flight. Deployment for small fixed-wing aircraft is usually made by hand but when payload increases, take-off, and landing maneuvers are then performed on a runway making the procedures more complex. For that reason, we address the performance of the two maneuvers in order to develop a unique controller using the feedback control technique. We present the longitudinal aircraft dynamics to model the take-off and landing considering the rolling resistance forces during ground roll through a friction model. We also present the controller design for such a model. A stability proof is conducted to validate the stability of the system with the developed control law. Additionally, simulations are carried out to corroborate that the control law is effective applied to the dynamic model presented.","url":"https://arxiv.org/abs/2006.12635v1","authors":["Andres Montes de Oca","Gerardo Flores"],"tags":["eess.SY","math.OC"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2020-06-22T21:40:02Z","addedAt":"2026-08-06T22:48:47.330Z"},{"id":"arxiv:2407.07180v1","name":"Studies of Transonic Aircraft Flows and Prediction of Initial Buffet Onset Using Large-Eddy Simulations","source":"arxiv","abstract":"This article utilizes the Large-Eddy Simulation (LES) paradigm with a physics-based turbulence modeling approach, including a dynamic subgrid-scale model and an equilibrium wall model, to examine the flow over the NASA transonic Common Research Model (CRM), a flow configuration that has been the focus of several AIAA Drag PredictionWorkshops (DPWs). The current work explores sensitivities to laminar-to-turbulent transition, wind tunnel mounting system, grid resolution, and grid topology and suggests current best practices in the context of large-eddy simulations of transonic aircraft flows. It is found that promoting the flow transition to turbulence via an array of cylindrical trip dots, including the sting mounting system in the simulations, and leveraging stranded boundary layer grids all tend to improve the quality of the LES solutions. Non-monotonic grid convergence in the LES calculations is observed to be strongly sensitive to grid topology, and stranded meshes rectify this issue relative to their hexagonal close-packed (HCP) counterparts. The details of the boundary layer profiles both at the leading edge of the wing and within the shock-induced separation bubble are studied, with thicknesses and integral measures reported, providing details about the boundary layer characteristics to turbulence modelers not typically available from complex aircraft flows. Finally, an assessment of the initial buffet prediction capabilities of LES is made in the context of a simpler NACA 0012 flow, with computational predictions showing reasonable agreement with available experimental data for the angle of attack at initial buffet onset and shock oscillation frequency associated with sustained buffet.","url":"https://arxiv.org/abs/2407.07180v1","authors":["Konrad A. Goc","Rahul Agrawal","Sanjeeb T. Bose","Parviz Moin"],"tags":["physics.flu-dyn"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2024-07-09T18:48:55Z","addedAt":"2026-08-06T22:48:47.330Z"},{"id":"arxiv:2501.03964v1","name":"A comparative study of uncertainty quantification methods in gust response analysis of a Lift-Plus-Cruise eVTOL aircraft wing","source":"arxiv","abstract":"Wind gusts, being inherently stochastic, can significantly influence the safety and performance of aircraft. This study investigates a three-dimensional uncertainty quantification (UQ) problem to explore how uncertainties in gust and flight conditions affect the structural response of a Lift-Plus-Cruise eVTOL aircraft wing. The analysis employs an unsteady aeroelastic model with a one-way coupling between a panel method aerodynamic solver and a shell analysis structural solver to predict the wing's response under varying conditions. Additionally, this paper presents a comparative evaluation of commonly used non-intrusive UQ methods, including non-intrusive polynomial chaos, kriging, Monte Carlo, univariate dimension reduction, and gradient-enhanced univariate dimension reduction. These methods are assessed based on their effectiveness in estimating various risk measures-mean, standard deviation, and 95th percentile-of critical structural response outputs such as maximum tip displacement and average strain energy. The numerical results reveal significant variability in the structural response outputs, even under relatively small ranges of uncertain inputs. This highlights the sensitivity of the system to uncertainties in gust and flight conditions. Furthermore, the performance of the implemented UQ methods varies significantly depending on the specific risk measures and the quantity of interest being analyzed.","url":"https://arxiv.org/abs/2501.03964v1","authors":["Bingran Wang","Michael Warner","Aoran Tian","Luca Scotzniovsky","John T. Hwang"],"tags":["cs.CE"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2025-01-07T17:56:47Z","addedAt":"2026-08-06T22:48:47.330Z"},{"id":"arxiv:2110.08830v2","name":"eVTOL Communications and Networking in UAM: Requirements, Key Enablers, and Challenges","source":"arxiv","abstract":"Electric vertical takeoff and landing (eVTOL) aircraft have attracted great attention during the last years as the long-awaited enabler of urban air mobility (UAM), allowing a more sustainable method of transportation and accelerating the development of smart cities. The operation of eVTOLs over urban areas introduces safety hazards for passengers, pedestrians, and buildings, which prioritises safety considerations. Ensuring the safe operation of eVTOLs requires studying their communication, networking, computing requirements. In this paper, we showcase eVTOL requirements in UAM in terms of coverage, data rate, latency, spectrum efficiency, networking, and computing. Then, we identify potential key technological enablers to address these requirements and their challenges. Finally, we carry out a comparative case study between the terrestrial and aerial communication infrastructures to serve eVTOLs in UAM.","url":"https://arxiv.org/abs/2110.08830v2","authors":["Abdullah Abu Zaid","Baha Eddine Youcef Belmekki","Mohamed-Slim Alouini"],"tags":["eess.SP"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2021-10-17T14:12:02Z","addedAt":"2026-08-06T22:48:47.330Z"},{"id":"arxiv:2606.28312v1","name":"Optimal Deployment of Electric Aircraft for Canadian Domestic Flights","source":"arxiv","abstract":"This paper presents a multi-period mixed-integer linear programming (MILP) framework for planning the transition from conventional to electric aircraft in regional aviation. The model jointly optimizes fleet acquisition, infrastructure deployment, and service allocation over time, while accounting for policy constraints such as emissions reduction targets, electric service share, and budget limits. A real-world case study based on Helijet's short-haul network in British Columbia demonstrates the applicability of the model. The results show that electrification can reduce emissions by more than 70\\% within five years while remaining economically viable. However, the transition is primarily limited by the capacity of the fleet and operational structure, rather than the charging infrastructure, leading to unmet demand under direct aircraft replacement. These findings emphasize the need for coordinated planning across fleet sizing, scheduling, and route prioritization to ensure a practical and efficient transition to electric aviation.","url":"https://arxiv.org/abs/2606.28312v1","authors":["Elham Soufiani","Mehrdad Pirnia"],"tags":["math.OC","q-fin.MF"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2026-06-26T17:55:35Z","addedAt":"2026-08-06T22:48:47.330Z"},{"id":"arxiv:2510.26496v1","name":"Variational System Identification of Aircraft","source":"arxiv","abstract":"Variational system identification is a new formulation of maximum likelihood for estimation of parameters of dynamical systems subject to process and measurement noise, such as aircraft flying in turbulence. This formulation is an alternative to the filter-error method that circumvents the solution of a Riccati equation and does not have problems with unstable predictors. In this paper, variational system identification is demonstrated for estimating aircraft parameters from real flight-test data. The results show that, in real applications of practical interest, it has better convergence properties than the filter-error method, reaching the optimum even when null initial guesses are used for all parameters and decision variables. This paper also presents the theory behind the method and practical recommendations for its use.","url":"https://arxiv.org/abs/2510.26496v1","authors":["Dimas Abreu Archanjo Dutra"],"tags":["stat.AP"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2025-10-30T13:45:34Z","addedAt":"2026-08-06T22:48:47.330Z"},{"id":"arxiv:2510.09283v1","name":"Safety Analysis of eVTOL Operations based on STPA","source":"arxiv","abstract":"Electric Vertical Take-Off and Landing (eVTOL) aircraft are expected to be quieter and more cost-effective than helicopters, offering major economic and social benefits through improved connectivity. Their adoption will require new ground infrastructure and airspace redesign, introducing risks involving multiple stakeholders (Regulators, eVTOL operators, Air navigation service providers, Vertiport operators, OEMs, Pilots, etc.). To assess these risks for the UK airspace, systems-thinking based System Theoretic Process Analysis (STPA) was conducted. To manage the large number of Unsafe Control Actions (UCAs) and requirements generated due to the complexity of the analysis, a novel extension to STPA for the prioritization of results was applied. 317 UCAs were identified in total out of which 110 high-priority UCAs were analyzed (Step-4), resulting in 377 causal factors and 432 requirements. These were prioritized to produce a targeted list of 124 distinct high-priority requirements, 56 of which were identified as gaps in existing aviation regulations, policies, or procedures.. These highlight opportunities for regulatory updates in areas such as organizational performance, certification processes, training, collision avoidance, energy management, and automation. The findings provide regulators with safety considerations that could shape new or updated regulations, compliance methods, and guidance materials for the safe deployment of eVTOLs.","url":"https://arxiv.org/abs/2510.09283v1","authors":["Mariat James Elizebeth","Shufeng Chen","Halima El Badaoui","Siddartha Khastgir","Paul Jennings"],"tags":["eess.SY"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2025-10-10T11:24:48Z","addedAt":"2026-08-06T22:48:47.330Z"},{"id":"arxiv:2406.17516v1","name":"Optimal DC-link Voltage from Weight and Loss Perspective for eVTOLs","source":"arxiv","abstract":"Electric vertical takeoff and landing (eVTOL) aircraft are emerging as a modern transportation solution aimed at reducing urban traffic congestion and improving the carbon footprint. The power architecture in eVTOLs is defined by the dc bus formed by the battery packs and the power converter used to drive eVTOL motors. A high dc bus voltage is preferred for the power architecture since it can reduce the weight of power cables for a given power rating. However, the impact of high dc bus voltage on the efficiency of the drivetrain power converter must be considered, since reduced efficiency leads to poor battery pack utilization. In this paper, a systematic optimization study is performed considering SiC-based inverter for the drivetrain power converter. Optimal value of dc bus voltage is determined considering the flight profile of eVTOLs. A power converter topology is proposed that can provide optimal performance and enhance the lifetime of the batteries along with providing better monitoring, diagnostics and protection. The optimization strategy is validated experimentally, demonstrating the proposed power architecture's ability to maximize efficiency while enhancing the safety of the battery energy storage system in eVTOLs.","url":"https://arxiv.org/abs/2406.17516v1","authors":["Abhijit Kulkarni","Torbjörn Thiringer","Remus Teodorescu"],"tags":["eess.SY"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2024-06-25T12:54:11Z","addedAt":"2026-08-06T22:48:47.330Z"},{"id":"arxiv:2605.21183v1","name":"Collaborative Optimization of Battery Charging / Swapping Stations for eVTOLs Based on Closed-Loop Supply Chain and Space-Time Network","source":"arxiv","abstract":"Against the backdrop of the burgeoning global low-altitude economy, countries have successively introduced a series of policies to accelerate the application and commercialization of electric vertical take-off and landing (eVTOL) aircraft. Nevertheless, purely electric eVTOLs confront constraints including limited battery energy density, high operational power requirements, and challenges associated with rapid energy replenishment, which collectively restrict their flight endurance and application scenarios. Furthermore, while eVTOL deployment is scaling up, supporting charging infrastructure and regulations remain underdeveloped. This situation presents emerging power distribution networks with new challenges in maintaining adequate electricity supply and ensuring operational continuity. To tackle these issues, following an investigation into battery energy replenishment strategies, a closed-loop supply chain-based model for eVTOL battery charging and swapping is proposed. Time-space network methods are utilized to characterize the scheduling of batteries and logistics throughout the system. Subsequently, aiming to maximize the operational revenue of the model, optimized management of battery swapping, transportation, and charging processes is implemented, facilitating coordinated operation among eVTOLs, swapping stations, and charging stations. Finally, the model is solved by Gurobi, verifying its feasibility. Simulation results further indicate that the model alleviates range anxiety for eVTOLs, offering strong support for their commercialization. Moreover, it enables coordinated scheduling between eVTOLs and the distribution network, thereby facilitating the network's gradual improvement and upgrading.","url":"https://arxiv.org/abs/2605.21183v1","authors":["Pengfeng Lin","Miao Zhu","Jiahui Sun","Haoyang Cui","Xiaoyong Cao","Chuanlin Zhang","Yunda Yan"],"tags":["eess.SY"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2026-05-20T13:49:15Z","addedAt":"2026-08-06T22:48:47.330Z"},{"id":"arxiv:2511.14887v2","name":"Transformer-Guided Deep Reinforcement Learning for Optimal Takeoff Trajectory Design of an eVTOL Drone","source":"arxiv","abstract":"The rapid advancement of electric vertical takeoff and landing (eVTOL) aircraft offers a promising opportunity to alleviate urban traffic congestion but is still limited by excessive power demands, especially during the takeoff phase. Thus, developing optimal takeoff trajectories for minimum energy consumption becomes essential for broader eVTOL aircraft applications. Conventional optimal control methods (such as dynamic programming and linear quadratic regulator) provide highly efficient and well-established solutions but are prohibited by problem dimensionality and complexity. Deep reinforcement learning (DRL) emerges as a special type of artificial intelligence tackling complex, nonlinear systems; however, the training difficulty is a key bottleneck that hinders DRL applications. To address these challenges, we propose the transformer-guided DRL to alleviate the training difficulty by exploring a realistic state space at each time step using a transformer. The proposed transformer-guided DRL was demonstrated on an optimal takeoff trajectory design of an eVTOL drone for minimal energy consumption while meeting takeoff conditions (i.e., minimum vertical displacement and minimum horizontal velocity) by varying control variables (i.e., power and wing angle to the vertical). Results presented that the transformer-guided DRL agent learned to take off with $4.57\\times10^6$ time steps, representing $25\\%$ of the $19.79\\times10^6$ time steps needed by a vanilla DRL agent. In addition, the transformer-guided DRL achieved $97.2\\%$ accuracy on the optimal energy consumption compared against the simulation-based optimal reference, while the vanilla DRL achieved $96.1\\%$ accuracy. Therefore, the proposed transformer-guided DRL outperformed vanilla DRL in terms of both training efficiency and optimal design verification.","url":"https://arxiv.org/abs/2511.14887v2","authors":["Nathan M. Roberts","Xiaosong Du"],"tags":["cs.LG"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2025-11-18T20:11:54Z","addedAt":"2026-08-06T22:48:47.330Z"},{"id":"arxiv:2511.18702v1","name":"CNN-Based Camera Pose Estimation and Localisation of Scan Images for Aircraft Visual Inspection","source":"arxiv","abstract":"General Visual Inspection is a manual inspection process regularly used to detect and localise obvious damage on the exterior of commercial aircraft. There has been increasing demand to perform this process at the boarding gate to minimise the downtime of the aircraft and automating this process is desired to reduce the reliance on human labour. Automating this typically requires estimating a camera's pose with respect to the aircraft for initialisation but most existing localisation methods require infrastructure, which is very challenging in uncontrolled outdoor environments and within the limited turnover time (approximately 2 hours) on an airport tarmac. Additionally, many airlines and airports do not allow contact with the aircraft's surface or using UAVs for inspection between flights, and restrict access to commercial aircraft. Hence, this paper proposes an on-site method that is infrastructure-free and easy to deploy for estimating a pan-tilt-zoom camera's pose and localising scan images. This method initialises using the same pan-tilt-zoom camera used for the inspection task by utilising a Deep Convolutional Neural Network fine-tuned on only synthetic images to predict its own pose. We apply domain randomisation to generate the dataset for fine-tuning the network and modify its loss function by leveraging aircraft geometry to improve accuracy. We also propose a workflow for initialisation, scan path planning, and precise localisation of images captured from a pan-tilt-zoom camera. We evaluate and demonstrate our approach through experiments with real aircraft, achieving root-mean-square camera pose estimation errors of less than 0.24 m and 2 degrees for all real scenes.","url":"https://arxiv.org/abs/2511.18702v1","authors":["Xueyan Oh","Leonard Loh","Shaohui Foong","Zhong Bao Andy Koh","Kow Leong Ng","Poh Kang Tan","Pei Lin Pearlin Toh","U-Xuan Tan"],"tags":["cs.RO","cs.CV"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2025-11-24T02:52:36Z","addedAt":"2026-08-06T22:48:47.330Z"},{"id":"arxiv:2304.14889v1","name":"Large-scale multidisciplinary design optimization of the NASA lift-plus-cruise concept using a novel aircraft design framework","source":"arxiv","abstract":"The conceptual design of eVTOL aircraft is a high-dimensional optimization problem that involves large numbers of continuous design parameters. Therefore, eVTOL design method would benefit from numerical optimization algorithms capable of systematically searching these high-dimensional parameters spaces, using comprehensive and multidisciplinary models of the aircraft. By leveraging recent progress in sensitivity analysis methods, a computational framework called the Comprehensive Aircraft high-Dimensional DEsign Environment (CADDEE) has been developed for large-scale multidisciplinary design optimization (MDO) of electric air taxis. CADDEE uses a geometry-centric approach that propagates geometry changes in a differentiable manner to meshes for physics-based models of arbitrary fidelity level. The paper demonstrates the capabilities of this new aircraft design tool, by presenting large-scale MDO results for NASA's Lift+Cruise eVTOL concept. MDO with over 100 design variables, 17 constraints, and low-fidelity predictive models for key disciplines is demonstrated with an optimization time of less than one hour with a desktop computer. The results show a reduction in gross weight of 11.4% and suggest that CADDEE can be valuable in the conceptual design and optimization of eVTOL aircraft.","url":"https://arxiv.org/abs/2304.14889v1","authors":["Marius L. Ruh","Darshan Sarojini","Andrew Fletcher","Isaac Asher","John T. Hwang"],"tags":["cs.CE","math.OC"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2023-04-25T17:41:52Z","addedAt":"2026-08-06T22:48:47.330Z"},{"id":"arxiv:2406.07766v1","name":"An Integrated Supply Chain Network Design for Advanced Air Mobility Aircraft Manufacturing Using Stochastic Optimization","source":"arxiv","abstract":"Electric vertical takeoff and landing (eVTOL) aircraft manufacturers await numerous pre-orders for eVTOLs and expect demand for such advanced air mobility (AAM) aircraft to rise dramatically soon. However, eVTOL manufacturers (EMs) cannot commence mass production of commercial eVTOLs due to a lack of supply chain planning for eVTOL manufacturing. The eVTOL supply chain differs from traditional ones due to stringent quality standards and limited suppliers for eVTOL parts, shortages in skilled labor and machinery, and contract renegotiations with major aerospace suppliers. The emerging AAM aircraft market introduces uncertainties in supplier pricing and capacities, eVTOL manufacturing costs, and eVTOL demand, further compounding the supply chain planning challenges for EMs. Despite this critical need, no study has been conducted to develop a comprehensive supply chain planning model for EMs. To address this research gap, we propose a stochastic optimization model for integrated supply chain planning of EMs while maximizing their operating profits under the abovementioned uncertainties. We conduct various numerical cases to analyze the impact of 1) endogenous eVTOL demand influenced by the quality of eVTOLs, 2) supply chain disruptions caused by geopolitical conflicts and resource scarcity, and 3) high-volume eVTOL demand similar to that experienced by automotive manufacturers, on EM supply chain planning. The results indicate that our proposed model is adaptable in all cases and outperforms established benchmark stochastic models. The findings suggest that EMs can commence mass eVTOL production with our model, enabling them to make optimal decisions and profits even under potential disruptions.","url":"https://arxiv.org/abs/2406.07766v1","authors":["Esrat Farhana Dulia","Syed A. M. Shihab"],"tags":["math.OC"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2024-06-11T23:15:17Z","addedAt":"2026-08-06T22:48:47.330Z"},{"id":"arxiv:2008.01527v2","name":"Universal Battery Performance and Degradation Model for Electric Aircraft","source":"arxiv","abstract":"Development of Urban Air Mobility (UAM) concepts has been primarily focused on electric vertical takeoff and landing aircraft (eVTOLs), small aircraft which can land and takeoff vertically, and which are powered by rechargeable (typically lithium-ion) batteries. Design, analysis, and operation of eVTOLs requires fast and accurate prediction of Li-ion battery performance throughout the lifetime of the battery. eVTOL battery performance modeling must be particularly accurate at high discharge rates to ensure accurate simulation of the high power takeoff and landing portions of the flight. In this work, we generate a battery performance and thermal behavior dataset specific to eVTOL duty cycles. We use this dataset to develop a battery performance and degradation model (Cellfit) which employs physics-informed machine learning in the form of Universal Ordinary Differential Equations (U-ODE's) combined with an electrochemical cell model and degradation models which include solid electrolyte interphase (SEI) growth, lithium plating, and charge loss. We show that Cellfit with U-ODE's is better able to predict battery degradation than a mechanistic battery degradation model. We show that the improved accuracy of the degradation model improves the accuracy of the performance model. We believe that Cellfit will prove to be a valuable tool for eVTOL designers.","url":"https://arxiv.org/abs/2008.01527v2","authors":["Alexander Bills","Shashank Sripad","William L. Fredericks","Matthew Guttenberg","Devin Charles","Evan Frank","Venkatasubramanian Viswanathan"],"tags":["physics.app-ph","cs.LG"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2020-07-06T16:10:54Z","addedAt":"2026-08-06T22:48:47.330Z"},{"id":"arxiv:2411.08661v1","name":"Energy Optimal Traversal Between Hover Waypoints for Lift+Cruise Electric Powered Aircraft","source":"arxiv","abstract":"Advanced Air Mobility aircraft require energy efficient flight plans to be economically viable. This paper defines minimum energy direct trajectories between waypoints for Lift+Cruise electric Vertical Take-Off and Landing (eVTOL) aircraft. Energy consumption is optimized over accelerated and cruise flight profiles with consideration of mode transitions. Because eVTOL operations start and end in hover for vertical take-off and landing, hover waypoints are utilized. Energy consumption is modeled as a function of airspeed for each flight mode, providing the basis to prove energy optimality for multi-mode traversal. Wind magnitude and direction dictate feasibility of straight-line traversal because Lift+Cruise aircraft point into the relative wind direction while hovering but also have a maximum heading rate constraint. Energy and power use for an experimentally validated QuadPlane small eVTOL aircraft are characterized with respect to airspeed and acceleration in all flight modes. Optimal QuadPlane traversals are presented. Constraints on acceleration and wind are derived for straight-line QuadPlane traversal. Results show an optimal QuadPlane $500m$ traversal between hover waypoints saves $71\\%$ energy compared to pure vertical flight traversal for a representative case study with a direct $4m/s$ crosswind. Energy optimal eVTOL direct trajectory definition with transitions to and from hover is novel to this work. Future work should model three-dimensional flight and wind as well as optimize maneuver primitives when required.","url":"https://arxiv.org/abs/2411.08661v1","authors":["Akshay Mathur","Ella Atkins"],"tags":["cs.RO"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2024-11-13T14:51:30Z","addedAt":"2026-08-06T22:48:47.330Z"},{"id":"arxiv:2507.06632v1","name":"Stacked Intelligent Metasurfaces-Aided eVTOL Delay Sensitive Communications","source":"arxiv","abstract":"With rapid urbanization and increasing population density, urban traffic congestion has become a critical issue, and traditional ground transportation methods are no longer sufficient to address it effectively. To tackle this challenge, the concept of Advanced Air Mobility (AAM) has emerged, aiming to utilize low-altitude airspace to establish a three-dimensional transportation system. Among various components of the AAM system, electric vertical take-off and landing (eVTOL) aircraft plays a pivotal role due to their flexibility and efficiency. However, the immaturity of Ultra Reliable Low Latency Communication (URLLC) technologies poses significant challenges to safety-critical AAM operations. Specifically, existing Stacked Intelligent Metasurfaces (SIM)-based eVTOL systems lack rigorous mathematical frameworks to quantify probabilistic delay bounds under dynamic air traffic patterns, a prerequisite for collision avoidance and airspace management. To bridge this gap, we employ network calculus tools to derive the probabilistic upper bound on communication delay in the AAM system for the first time. Furthermore, we formulate a complex non-convex optimization problem that jointly minimizes the probabilistic delay bound and the propagation delay. To solve this problem efficiently, we propose a solution based on the Block Coordinate Descent (BCD) algorithm and Semidefinite Relaxation (SDR) method. In addition, we conduct a comprehensive analysis of how various factors impact regret and transmission rate, and explore the influence of varying load intensity and total delay on the probabilistic delay bound.","url":"https://arxiv.org/abs/2507.06632v1","authors":["Liyuan Chen","Kai Xiong","Yujie Qin","Hanqing Yu","Supeng Leng","Chau Yuen"],"tags":["cs.NI"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2025-07-09T07:59:36Z","addedAt":"2026-08-06T22:48:47.330Z"},{"id":"arxiv:2301.12316v1","name":"Wind Tunnel Testing and Aerodynamic Characterization of a QuadPlane Uncrewed Aircraft System","source":"arxiv","abstract":"Electric Vertical Takeoff and Landing (eVTOL) vehicles will open new opportunities in aviation. This paper describes the design and wind tunnel analysis of an eVTOL uncrewed aircraft system (UAS) prototype with a traditional aircraft wing, tail, and puller motor along with four vertical thrust pusher motors. Vehicle design and construction are summarized. Dynamic thrust from propulsion modules is experimentally determined at different airspeeds over a large sweep of propeller angles of attack. Wind tunnel tests with the vehicle prototype cover a suite of hover, transition and cruise flight conditions. Net aerodynamic forces and moments are distinctly computed and compared for plane, quadrotor and hybrid flight modes. Coefficient-based models are developed. Polynomial curve fits accurately capture observed data over all test configurations. To our knowledge, the presented wind tunnel experimental analysis for a multi-mode eVTOL platform is novel. Increased drag and reduced dynamic thrust likely due to flow interactions will be important to address in future designs.","url":"https://arxiv.org/abs/2301.12316v1","authors":["Akshay Mathur","Ella Atkins"],"tags":["cs.RO"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2023-01-29T00:32:57Z","addedAt":"2026-08-06T22:48:47.330Z"},{"id":"arxiv:2602.17166v2","name":"Geometric Inverse Flight Dynamics on SO(3) and Application to Tethered Fixed-Wing Aircraft","source":"arxiv","abstract":"We present a robotics-oriented, coordinate-free formulation of inverse flight dynamics for fixed-wing aircraft on SO(3). Translational force balance is written in the world frame and rotational dynamics in the body frame; aerodynamic directions (drag, lift, side) are defined geometrically, avoiding local attitude coordinates. Enforcing coordinated flight (no sideslip), we derive a closed-form trajectory-to-input map yielding the attitude, angular velocity, and thrust-angle-of-attack pair, and we recover the aerodynamic moment coefficients component-wise. Applying such a map to tethered flight on spherical parallels, we obtain analytic expressions for the required bank angle and identify a specific zero-bank locus where the tether tension exactly balances centrifugal effects, highlighting the decoupling between aerodynamic coordination and the apparent gravity vector. Under a simple lift/drag law, the minimal-thrust angle of attack admits a closed form. These pointwise quasi-steady inversion solutions become steady-flight trim when the trajectory and rotational dynamics are time-invariant. The framework bridges inverse simulation in aeronautics with geometric modeling in robotics, providing a rigorous building block for trajectory design and feasibility checks.","url":"https://arxiv.org/abs/2602.17166v2","authors":["Antonio Franchi","Chiara Gabellieri"],"tags":["cs.RO","eess.SY"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2026-02-19T08:26:17Z","addedAt":"2026-08-06T22:48:47.330Z"},{"id":"arxiv:2509.15559v2","name":"Numerical Study on Jet-Like Outwash Induced by Multi-Rotor eVTOLs and Engineering Approaches for Outwash Mitigation","source":"arxiv","abstract":"This study presents a comprehensive computational investigation of outwash phenomena generated by electric vertical takeoff and landing (eVTOL) aircraft, with particular emphasis on how rotor geometry and alignment shape hazardous airflow patterns at vertiports. Using nondimensional Reynolds-averaged Navier-Stokes (RANS) simulations with the k-omega SST turbulence model implemented in OpenFOAM, the research systematically characterizes jet-like outwash across a range of multi-rotor configurations. Results demonstrate that propeller count and inter-propeller spacing are primary determinants of outwash intensity, orientation, propagation range, and boundary-layer structure. For power-lift eVTOLs, low propeller counts combined with narrow spacing produce highly directional, intensified jet-like outwash with propagation ranges far exceeding current FAA EB105a safety standards. Conversely, higher propeller counts and larger spacings reduce peak velocities and propagation distances, enabling safer and more compact vertiport layouts. High-propeller-count designs further exhibit vertically stratified and thickened outwash boundary layers, requiring tailored mitigation strategies. Targeted engineering solutions-such as modular blast deflectors aligned with predicted outwash directions-are shown to reduce required vertiport safety areas by up to 82% without compromising operational safety. These findings establish a direct link between aircraft design, regulatory compliance, and infrastructure optimization, offering practical pathways for safe and scalable urban air mobility. The study also provides a foundation for future research on optimal mitigation device geometries and system-level integration of eVTOL operations within urban environments.","url":"https://arxiv.org/abs/2509.15559v2","authors":["Yen-Chen Chen","Chih-Che Chueh"],"tags":["physics.flu-dyn"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2025-09-19T03:44:58Z","addedAt":"2026-08-06T22:48:47.330Z"},{"id":"arxiv:2603.13284v1","name":"Do Diffusion Models Dream of Electric Planes? Discrete and Continuous Simulation-Based Inference for Aircraft Design","source":"arxiv","abstract":"In this paper, we generate conceptual engineering designs of electric vertical take-off and landing (eVTOL) aircraft. We follow the paradigm of simulation-based inference (SBI), whereby we look to learn a posterior distribution over the full eVTOL design space. To learn this distribution, we sample over discrete aircraft configurations (topologies) and their corresponding set of continuous parameters. Therefore, we introduce a hierarchical probabilistic model consisting of two diffusion models. The first model leverages recent work on Riemannian Diffusion Language Modeling (RDLM) and Unified World Models (UWMs) to enable us to sample topologies from a discrete and continuous space. For the second model we introduce a masked diffusion approach to sample the corresponding parameters conditioned on the topology. Our approach rediscovers known trends and governing physical laws in aircraft design, while significantly accelerating design generation.","url":"https://arxiv.org/abs/2603.13284v1","authors":["Aurelien Ghiglino","Daniel Elenius","Anirban Roy","Ramneet Kaur","Manoj Acharya","Colin Samplawski","Brian Matejek","Susmit Jha","Juan Alonso","Adam Cobb"],"tags":["cs.LG","stat.ML"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2026-02-27T18:27:24Z","addedAt":"2026-08-06T22:48:47.330Z"},{"id":"arxiv:2010.14132v1","name":"A comparison of techniques for solving the Poisson equation in CFD","source":"arxiv","abstract":"CFD is a ubiquitous technique central to much of computational simulation such as that required by aircraft design. Solving of the Poisson equation occurs frequently in CFD and there are a number of possible approaches one may leverage. The dynamical core of the MONC atmospheric model is one example of CFD which requires the solving of the Poisson equation to determine pressure terms. Traditionally this aspect of the model has been very time consuming and-so it is important to consider how we might reduce the runtime cost. In this paper we survey the different approaches implemented in MONC to perform the pressure solve. Designed to take advantage of large scale, modern, HPC machines, we are concerned with the computation and communication behaviour of the available techniques and in this text we focus on direct FFT and indirect iterative methods. In addition to describing the implementation of these techniques we illustrate on up to 32768 processor cores of a Cray XC30 both the performance and scalability of our approaches. Raw runtime is not the only measure so we also make some comments around the stability and accuracy of solution. The result of this work are a number of techniques, optimised for large scale HPC systems, and an understanding of which is most appropriate in different situations.","url":"https://arxiv.org/abs/2010.14132v1","authors":["Nick Brown"],"tags":["cs.DC","cs.MS"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2020-10-27T08:43:53Z","addedAt":"2026-08-06T22:48:47.330Z"},{"id":"arxiv:2412.09279v1","name":"Multi-Aircraft Scheduling Optimization in Urban Environments","source":"arxiv","abstract":"With the increasing development of intelligent transportation systems and advancements in aviation technology, the concept of Advanced Air Mobility (AAM) is gaining attention. This study aims to improve operational safety and service quality within Urban Air Mobility (UAM) through a trajectory-based operation (TBO). A multi-layer operational risk assessment model is introduced to capture the effects of aircraft failure scenarios on critical urban entities, including ground personnel, vehicles, and in-flight UAVs (unmanned aerial vehicles). Based on this, a single-aircraft track planning model is designed to balance operational risk and transportation cost under the performance constraints of eVTOL (electric Vertical Take-off and Landing) aircraft. A customized track planning algorithm with safety buffer zones is used to identify the most efficient flight paths. Additionally, a multi-aircraft scheduling optimization model is proposed to minimize delays and reduce mid-air collision risks. Experimental results show that the presented approach improves both efficiency and safety, providing practical solutions for UAM operations.","url":"https://arxiv.org/abs/2412.09279v1","authors":["Jin Zhang","Xiaoran Qin","Ming Zhang"],"tags":["eess.SY"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2024-12-12T13:42:54Z","addedAt":"2026-08-06T22:48:47.330Z"},{"id":"arxiv:2402.04711v3","name":"High-dimensional multidisciplinary design optimization for aircraft eco-design / Optimisation multi-disciplinaire en grande dimension pour l'éco-conception avion en avant-projet","source":"arxiv","abstract":"The objective of this Philosophiae Doctor (Ph.D) thesis is to propose an efficient approach for optimizing a multidisciplinary black-box model when the optimization problem is constrained and involves a large number of mixed integer design variables (typically 100 variables). The targeted optimization approach, called EGO, is based on a sequential enrichment of an adaptive surrogate model and, in this context, GP surrogate models are one of the most widely used in engineering problems to approximate time-consuming high fidelity models. EGO is a heuristic BO method that performs well in terms of solution quality. However, like any other global optimization method, EGO suffers from the curse of dimensionality, meaning that its performance is satisfactory on lower dimensional problems, but deteriorates as the dimensionality of the optimization search space increases. For realistic aircraft design problems, the typical size of the design variables can even exceed 100 and, thus, trying to solve directly the problems using EGO is ruled out. The latter is especially true when the problems involve both continuous and categorical variables increasing even more the size of the search space. In this Ph.D thesis, effective parameterization tools are investigated, including techniques like partial least squares regression, to significantly reduce the number of design variables. Additionally, Bayesian optimization is adapted to handle discrete variables and high-dimensional spaces in order to reduce the number of evaluations when optimizing innovative aircraft concepts such as the \"DRAGON\" hybrid airplane to reduce their climate impact.","url":"https://arxiv.org/abs/2402.04711v3","authors":["Paul Saves"],"tags":["math.OC","cs.LG","cs.MS","stat.ML"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2024-02-07T09:58:52Z","addedAt":"2026-08-06T22:48:47.330Z"},{"id":"arxiv:2507.19509v1","name":"Computing Longitudinal Dynamic Derivatives of a VTOL Aircraft Using CFD Simulations and Forced-Oscillation Model","source":"arxiv","abstract":"This study presents a comprehensive evaluation of dynamic aerodynamic derivatives during aircraft transition phases using advanced CFD simulations and forced oscillation testing. Two case studies are examined: a three dimensional fighter aircraft (Standard Dynamic Model, SDM) and a UT24 eVTOL model. The transition phase from vertical hover to forward cruise is analyzed with harmonic oscillation techniques to capture unsteady aerodynamic forces and moments. Grid sensitivity studies and multi zone meshing strategies ensure simulation accuracy, while ANSYS Fluent finite volume solver and coupled pressure velocity algorithms provide high fidelity results. Dynamic derivatives are derived from variations in angle of attack, flight path, and rotational movements, with experimental and numerical data validating the approach. The findings offer valuable insights for robust control design and stability analysis, supporting future advancements in urban air mobility and aerospace engineering. Overall, this approach demonstrates substantial promise for optimizing aircraft performance during critical transition phases. These results pave the way for future innovations","url":"https://arxiv.org/abs/2507.19509v1","authors":["Ali Khosravani Nezhad","AmirReza Kosari","Rasoul Askari"],"tags":["eess.SY"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2025-07-16T16:14:33Z","addedAt":"2026-08-06T22:48:47.330Z"},{"id":"arxiv:2502.08688v1","name":"FAST: A Future Aircraft Sizing Tool for Advanced Aircraft and Propulsion System Design","source":"arxiv","abstract":"Without radical technological advancements, the global aviation industry will continue to be a major carbon emitter. To reduce aviation's carbon emissions, innovative aircraft technology, including electrified aircraft propulsion, is under development. However, current aircraft sizing tools require detailed design information that may not be available early in the development process, particularly for novel technologies. This can yield suboptimal designs and inhibits innovation. A computational tool is needed to easily and rapidly size an aircraft configuration while allowing the designer to explore the design space, examine tradeoffs, and evaluate alternative designs. The Future Aircraft Sizing Tool (FAST), developed in Matlab, addresses this challenge by rapidly sizing aircraft with any propulsion architecture, including conventional, electric, and hybrid electric systems, even with limited initial data. FAST enables engineers to explore various aircraft configurations, evaluate design alternatives, assess performance across a flight envelope, and visualize concepts during the sizing process. By supporting early stage design, FAST addresses a gap in currently available computational tools for developing sustainable aviation technologies to help reduce the industry's carbon footprint.","url":"https://arxiv.org/abs/2502.08688v1","authors":["Paul R. Mokotoff","Maxfield Arnson","Gokcin Cinar"],"tags":["cs.CE","physics.comp-ph"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2025-02-12T12:35:37Z","addedAt":"2026-08-06T22:48:47.330Z"},{"id":"arxiv:2103.14954v1","name":"String stability of energy-saving aircraft formations","source":"arxiv","abstract":"Groups of aircraft have the potential to save significant amounts of energy by flying in formations; all but the leading aircraft can benefit from the upwash of the wakes of preceding aircraft. A potential obstacle as the number of aircraft in such a formation increases is that disturbances at one aircraft, for example caused by turbulence or wake meandering, can propagate and grow as each following aircraft tries to track the optimal energy-saving position relative to the one in front. This phenomenon, known as string instability, has not yet been adequately examined in the context of aircraft formations. We discuss some trade-offs involved in designing string stable controllers whose objective is to minimize energy, and present a control design method to achieve both string stability and energy efficiency of an aircraft formation. In simulations of a 10-aircraft linear formation in the presence of 2% turbulence intensity, our controller achieves string stability while reduced energy consumption by an average of 13% with respect to solo flight.","url":"https://arxiv.org/abs/2103.14954v1","authors":["James R. Riehl","Esteban A. L. Hufstedler","Philippe Chatelain","Julien M. Hendrickx"],"tags":["math.OC","physics.flu-dyn"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2021-03-27T18:02:27Z","addedAt":"2026-08-06T22:48:47.330Z"},{"id":"arxiv:2306.13830v2","name":"Improved Aircraft Environmental Impact Segmentation via Metric Learning","source":"arxiv","abstract":"Accurate modeling of aircraft environmental impact is pivotal to the design of operational procedures and policies to mitigate negative aviation environmental impact. Aircraft environmental impact segmentation is a process which clusters aircraft types that have similar environmental impact characteristics based on a set of aircraft features. This practice helps model a large population of aircraft types with insufficient aircraft noise and performance models and contributes to better understanding of aviation environmental impact. Through measuring the similarity between aircraft types, distance metric is the kernel of aircraft segmentation. Traditional ways of aircraft segmentation use plain distance metrics and assign equal weight to all features in an unsupervised clustering process. In this work, we utilize weakly-supervised metric learning and partial information on aircraft fuel burn, emissions, and noise to learn weighted distance metrics for aircraft environmental impact segmentation. We show in a comprehensive case study that the tailored distance metrics can indeed make aircraft segmentation better reflect the actual environmental impact of aircraft. The metric learning approach can help refine a number of similar data-driven analytical studies in aviation.","url":"https://arxiv.org/abs/2306.13830v2","authors":["Zhenyu Gao","Dimitri N. Mavris"],"tags":["cs.LG","stat.AP"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2023-06-24T01:14:48Z","addedAt":"2026-08-06T22:48:47.330Z"},{"id":"arxiv:2504.18031v2","name":"Joint Resource Estimation and Trajectory Optimization for eVTOL-involved CR network: A Monte Carlo Tree Search-based Approach","source":"arxiv","abstract":"Electric Vertical Take-Off and Landing (eVTOL) aircraft, pivotal to Advanced Air Mobility (AAM), are emerging as a transformative transportation paradigm with the potential to redefine urban and regional mobility. While these systems offer unprecedented efficiency in transporting people and goods, they rely heavily on computation capability, safety-critical operations such as real-time navigation, environmental sensing, and trajectory tracking--necessitating robust offboard computational support. A widely adopted solution involves offloading these tasks to terrestrial base stations (BSs) along the flight path. However, air-to-ground connectivity is often constrained by spectrum conflicts with terrestrial users, which poses a significant challenge to maintaining reliable task execution. Cognitive radio (CR) techniques offer promising capabilities for dynamic spectrum access, making them a natural fit for addressing this issue. Existing studies often overlook the time-varying nature of BS resources, such as spectrum availability and CPU cycles, which leads to inaccurate trajectory planning, suboptimal offloading success rates, excessive energy consumption, and operational delays. To address these challenges, we propose a trajectory optimization framework for eVTOL swarms that maximizes task offloading success probability while minimizing both energy consumption and resource competition (e.g., spectrum and CPU cycles) with primary terrestrial users. The proposed algorithm integrates a Multi-Armed Bandit (MAB) model to dynamically estimate BS resource availability and a Monte Carlo Tree Search (MCTS) algorithm to determine optimal offloading decisions, selecting both the BSs and access time windows that align with energy and temporal constraints.","url":"https://arxiv.org/abs/2504.18031v2","authors":["Kai Xiong","Chenxin Yang","Yujie Qin","Wanzhi Ma","Chau Yuen"],"tags":["cs.NI","eess.SP"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2025-04-25T02:48:48Z","addedAt":"2026-08-06T22:48:47.330Z"},{"id":"arxiv:2604.26134v1","name":"Reachability-Based Design Optimization for Aircraft Maneuverability","source":"arxiv","abstract":"This paper presents a method for incorporating control analysis into design optimization for highly-maneuverable aircraft. By studying reachable sets for aircraft dynamics, we ensure that the optimizer will take the aircraft's controlled capabilities into account. We compute reachable sets of linear dynamics for computational efficiency, and account for aircraft trim points to factor in asymmetric magnitude bounds on the input signals. We demonstrate the proposed method in design optimization of a blended-wing-body aircraft. Considering its wing half-span and center half-span as design variables, we optimize the aircraft based on its longitudinal dynamics' reachable sets to yield improvements in its controlled performance. When designing a reference tracking controller, we find up to 30\\% less tracking error for angle of attack of the optimized model's nonlinear dynamics.","url":"https://arxiv.org/abs/2604.26134v1","authors":["Steven Nguyen","Nicholas Orndorff","Jorge Cortés","Boris Kramer"],"tags":["math.OC"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2026-04-28T21:46:13Z","addedAt":"2026-08-06T22:48:47.330Z"},{"id":"arxiv:2608.01819v1","name":"Predictive Maintenance: Deep Learning-Based Remaining Useful Life Prediction for Combat Aircraft Engines","source":"arxiv","abstract":"To improve the operational readiness of combat aircraft engines and reduce unplanned maintenance costs, accurately estimating the remaining useful life (RUL) is critical. Traditional maintenance often proves insufficient under dynamic mission profiles. In this study, a deep learning-based predictive maintenance model capable of autonomously extracting features from multivariate sensor data was developed. Using the NASA C-MAPSS FD001 and FD004 datasets, data were converted into sequential blocks via 50- and 30-step sliding windows, respectively. The model's architectural superiority in autonomously extracting temporal degradation features was validated against RF, CNN-LSTM, and BiLSTM baselines. On FD001, it achieved an R-squared (R2) of 0.8901, a 13.28 RMSE, and a 320.34 NASA risk score, demonstrating generalizability on the multi-regime FD004 dataset with a 15.71 RMSE. The proposed maintenance protocol achieved a 0.9973 AUC at the critical 30-cycle threshold, ensuring high reliability. Additionally, a decision-support simulator has been developed to validate this protocol under aggressive combat flight profiles.","url":"https://arxiv.org/abs/2608.01819v1","authors":["Fatih Ürgen","Doğay Altınel"],"tags":["cs.LG","cs.AI","eess.SY"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2026-08-03T07:28:00Z","addedAt":"2026-08-06T22:48:47.330Z"},{"id":"arxiv:2012.05907v1","name":"Data-driven Method for Estimating Aircraft Mass from Quick Access Recorder using Aircraft Dynamics and Multilayer Perceptron Neural Network","source":"arxiv","abstract":"Accurate aircraft-mass estimation is critical to airlines from the safety-management and performance-optimization viewpoints. Overloading an aircraft with passengers and baggage might result in a safety hazard. In contrast, not fully utilizing an aircraft's payload-carrying capacity undermines its operational efficiency and airline profitability. However, accurate determination of the aircraft mass for each operating flight is not feasible because it is impractical to weigh each aircraft component, including the payload. The existing methods for aircraft-mass estimation are dependent on the aircraft- and engine-performance parameters, which are usually considered proprietary information. Moreover, the values of these parameters vary under different operating conditions while those of others might be subject to large estimation errors. This paper presents a data-driven method involving use of the quick access recorder (QAR)-a digital flight-data recorder-installed on all aircrafts to record the initial aircraft climb mass during each flight. The method requires users to select appropriate parameters among several thousand others recorded by the QAR using physical models. The selected data are subsequently processed and provided as input to a multilayer perceptron neural network for building the model for initial-climb aircraft-mass prediction. Thus, the proposed method offers the advantages of both the model-based and data-driven approaches for aircraft-mass estimation. Because this method does not explicitly rely on any aircraft or engine parameter, it is universally applicable to all aircraft types. In this study, the proposed method was applied to a set of Boeing 777-300ER aircrafts, the results of which demonstrated reasonable accuracy. Airlines can use this tool to better utilize aircraft's payload.","url":"https://arxiv.org/abs/2012.05907v1","authors":["Xinyu He","Fang He","Xinting Zhu","Lishuai Li"],"tags":["cs.LG","eess.SY","stat.AP"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2020-12-10T04:44:47Z","addedAt":"2026-08-06T22:48:47.330Z"},{"id":"arxiv:2508.10446v1","name":"A Structured Framework for Prioritizing Unsafe Control Actions in STPA: Case Study on eVTOL Operations","source":"arxiv","abstract":"Systems Theoretic Process Analysis (STPA) is a widely recommended method for analysing complex system safety. STPA can identify numerous Unsafe Control Actions (UCAs) and requirements depending on the level of granularity of the analysis and the complexity of the system being analysed. Managing numerous results is challenging, especially during a fast-paced development lifecycle. Extensive research has been done to optimize the efficiency of managing and prioritising the STPA results. However, maintaining the objectivity of prioritisation and communicating the prioritised results have become common challenges. In this paper, the authors present a complementary approach that incorporates inputs from both the safety analysts and domain experts to more objectively prioritise UCAs. This is done by evaluating the severity of each UCA, the impact factor of each controller or decision maker that issues the UCA, and the ranking provided by the subject matter experts who assess the UCA criticalities based on different factors. In addition, a Monte Carlo simulation is introduced to reduce subjectivity and relativity, thus enabling more objective prioritisation of the UCAs. As part of the approach to better communicate the prioritisation results and plan the next steps of system development, a dynamic-scaling prioritisation matrix was developed to capture different sets of prioritised UCAs. The approach was applied to a real project to improve the safe operations of Electric Vertical Take-off and Landing (eVTOL). The results highlighted critical UCAs that need to be prioritised for safer eVTOL operation. 318 UCAs were identified in total. Based on the application of the prioritisation methodology, 110 were recognized as high-priority UCAs to strengthen the system design.","url":"https://arxiv.org/abs/2508.10446v1","authors":["Halima El Badaoui"],"tags":["eess.SY"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2025-08-14T08:34:07Z","addedAt":"2026-08-06T22:48:47.330Z"},{"id":"arxiv:2512.17412v1","name":"Optimisation of Aircraft Maintenance Schedules","source":"arxiv","abstract":"We present an aircraft maintenance scheduling problem, which requires suitably qualified staff to be assigned to maintenance tasks on each aircraft. The tasks on each aircraft must be completed within a given turn around window so that the aircraft may resume revenue earning service. This paper presents an initial study based on the application of an Evolutionary Algorithm to the problem. Evolutionary Algorithms evolve a solution to a problem by evaluating many possible solutions, focusing the search on those solutions that are of a higher quality, as defined by a fitness function. In this paper, we benchmark the algorithm on 60 generated problem instances to demonstrate the underlying representation and associated genetic operators.","url":"https://arxiv.org/abs/2512.17412v1","authors":["Neil Urquhart","Amir Rahimi","Efstathios-Al. Tingas"],"tags":["cs.NE","cs.AI"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2025-12-19T10:06:09Z","addedAt":"2026-08-06T22:48:47.330Z"},{"id":"arxiv:2203.13390v1","name":"Probabilistic Analysis of Aircraft Using Multi-Fidelity Aerodynamics Databases","source":"arxiv","abstract":"The rise in computational capability has increased reliance on simulations to inform aircraft design. However aircraft airworthiness testing for flight certification remains rooted in real-world experiments performed after manufacturing an aircraft prototype. Leveraging multi-fidelity modeling and uncertainty quantification, we present a framework creating a stochastic representation of the aircraft, uses it to simulate flight certification maneuvers, and determines the likelihood of successfully meeting the certification requirement. We focus on uncertainties associated with Computational Fluid Dynamics simulations solving the Reynolds-Averaged Navier-Stokes equations. The simulation predictions and associated uncertainties are combined with data from other analysis tools to create stochastic aerodynamics and controls databases. The databases describe the aircraft's behavior across its flight envelope and provide probability distributions for its predictions. Databases are generated for two aircraft configurations, the National Aeronautics and Space Administration (NASA) Common Research Model and the Generic T-tail Transport aircraft. Samples from the databases, representing different aircraft behavior, are created. Each sample is run through a flight simulation representing a real-world airworthiness test performed by the Federal Aviation Administration (FAA). These tests are agglomerated to create distributions of the performance metrics, quantifying the probability that the aircraft succeeds in performing the certification maneuver. Simulating flight certification testing before building a full-size aircraft prototype mitigates the enormous costs of expensive redesigns late in the aircraft design process. The calculation of the failure rates provides design suggestions to ensure the aircraft can meet the certification requirement with a prescribed success rate.","url":"https://arxiv.org/abs/2203.13390v1","authors":["Jayant Mukhopadhaya"],"tags":["stat.AP","physics.flu-dyn"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2022-03-24T23:53:14Z","addedAt":"2026-08-06T22:48:47.330Z"},{"id":"arxiv:2201.06727v1","name":"Sensitivity of Single-Pulse Radar Detection to Aircraft Pose Uncertainties","source":"arxiv","abstract":"Mission planners for aircraft that operate in radar detection environments are often concerned the probability of detection. The probability of detection is a nonlinear function of the aircraft pose and radar position. Current path planning techniques for this application assume that the aircraft pose is deterministic. In practice, however, the aircraft pose is estimated using a navigation filter and therefore contains uncertainty. The uncertainty in the aircraft pose induces uncertainty in the probability of detection, but this phenomenon is generally not considered when path planning. This paper provides a method for combining aircraft pose uncertainty with single-pulse radar detection models to aid mission planning efforts. The method linearizes the expression for the probability of detection and three radar cross section models. The linearized models are then used to determine the variability of the probability of detection induced by uncertainty in the aircraft pose. The results of this paper validate the linearization using Monte Carlo analysis and explore the sensitivity of the probability of detection to aircraft pose uncertainty.","url":"https://arxiv.org/abs/2201.06727v1","authors":["Austin Costley","Randall Christensen","Greg Droge","Robert C. Leishman"],"tags":["eess.SY"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2022-01-18T04:09:27Z","addedAt":"2026-08-06T22:48:47.330Z"},{"id":"arxiv:2312.00245v1","name":"SPAM: Secure &amp; Private Aircraft Management","source":"arxiv","abstract":"With the rising use of aircrafts for operations ranging from disaster-relief to warfare, there is a growing risk of adversarial attacks. Malicious entities often only require the location of the aircraft for these attacks. Current satellite-aircraft communication and tracking protocols put aircrafts at risk if the satellite is compromised, due to computation being done in plaintext. In this work, we present \\texttt{SPAM}, a private, secure, and accurate system that allows satellites to efficiently manage and maintain tracking angles for aircraft fleets without learning aircrafts' locations. \\texttt{SPAM} is built upon multi-party computation and zero-knowledge proofs to guarantee privacy and high efficiency. While catered towards aircrafts, \\texttt{SPAM}'s zero-knowledge fleet management can be easily extended to the IoT, with very little overhead.","url":"https://arxiv.org/abs/2312.00245v1","authors":["Yaman Jandali","Nojan Sheybani","Farinaz Koushanfar"],"tags":["cs.CR"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2023-11-30T23:16:45Z","addedAt":"2026-08-06T22:48:47.330Z"},{"id":"arxiv:2009.09650v1","name":"Exploring Collaborative and Multidisciplinary Aircraft Optimization through the AGILE Academy Challenge -- A case study for an aircraft auxiliary solar power system","source":"arxiv","abstract":"Reduction in aircraft emission is a main driver for the development of more efficient aircraft and enabling technologies are reaching operational maturity. Aircraft manufacturers need an efficient product development process to capture these emergent technologies and develop new aircraft concepts in order to stay competitive. Presently, the aircraft development process is cross organizational, and harnesses distributed, heterogeneous knowledge and expertise. Large scale multidisciplinary studies, involving disciplinary experts and specific tools are required to evaluate different aircraft concepts. These MultiDisciplinary Aircraft Optimization (MDAO) processes are difficult to deploy as they involve cross-organizational collaboration and harmonization of processes, tools and even vocabulary. Moreover, difficulties in collaborative decision making, reconfiguration and integration of new requirements and competencies often precludes the development of an optimal solution within the available time. To address these challenges, the AGILE project is an effort within the European Union funded Horizon 2020 project to reduce aircraft development time by developing tools and processes that enable efficient, collaborative aircraft design. This paper presents the work performed as part of the AGILE academy challenge where students were tasked with developing and solving an aircraft MDAO problem using the AGILE toolchain. Each team consisted of students from various universities around the globe and had expertise in multiple design domains. An MDAO study is presented that utilizes the AGILE toolchain to investigate the feasibility of implementing an auxiliary solar power system on a baseline aircraft. The steps performed are: (1) definition of a multidisciplinary design problem, (2) development of collaborative workflow and (3) optimization using surrogate models. Through the case study, a novel technology concept is investigated and the efficacy of the AGILE toolchain in facilitating a MDAO is analyzed.","url":"https://arxiv.org/abs/2009.09650v1","authors":["Andrew Jeyaraj","Florian Sanchez","Paul Earnest","Ezhil Murugesan","Rémy Priem","Susan Liscouet-Hanke"],"tags":["math.OC"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2020-09-21T07:33:00Z","addedAt":"2026-08-06T22:48:47.330Z"},{"id":"arxiv:1306.5151v1","name":"Fine-Grained Visual Classification of Aircraft","source":"arxiv","abstract":"This paper introduces FGVC-Aircraft, a new dataset containing 10,000 images of aircraft spanning 100 aircraft models, organised in a three-level hierarchy. At the finer level, differences between models are often subtle but always visually measurable, making visual recognition challenging but possible. A benchmark is obtained by defining corresponding classification tasks and evaluation protocols, and baseline results are presented. The construction of this dataset was made possible by the work of aircraft enthusiasts, a strategy that can extend to the study of number of other object classes. Compared to the domains usually considered in fine-grained visual classification (FGVC), for example animals, aircraft are rigid and hence less deformable. They, however, present other interesting modes of variation, including purpose, size, designation, structure, historical style, and branding.","url":"https://arxiv.org/abs/1306.5151v1","authors":["Subhransu Maji","Esa Rahtu","Juho Kannala","Matthew Blaschko","Andrea Vedaldi"],"tags":["cs.CV"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2013-06-21T14:31:57Z","addedAt":"2026-08-06T22:48:47.330Z"},{"id":"arxiv:2012.08230v1","name":"Robust aircraft conflict resolution under trajectory prediction uncertainty","source":"arxiv","abstract":"We address the aircraft conflict resolution problem under trajectory prediction uncertainty. We consider that aircraft velocity vectors may be perturbed due to weather effects, such as wind, or measurement errors. Such perturbations may affect aircraft trajectory prediction which plays a key role in ensuring flight safety in air traffic control. Our goal is to solve the aircraft conflict resolution problem in the presence of such perturbations and guarantee that aircraft are separated for any realization of the uncertain data. We propose an uncertainty model wherein aircraft velocities are represented as random variables and the uncertainty set is assumed to be polyhedral. We consider a robust optimization approach and embed the proposed uncertainty model within state-of-the-art mathematical programming formulations for aircraft conflict resolution. We then adopt the approach of Bertsimas and Sim (2004) to formulate the robust counterpart. We use the complex number reformulation and the constraint generation algorithm proposed by Dias et al. (2020a) to solve the resulting nonconvex optimization problem on benchmarking instances of the literature. Our numerical experiments reveal that perturbations of the order of $\\pm 5\\%$ on aircraft velocities can be accounted for without significantly impacting the objective function compared to the deterministic case. Our tests also show that for greater levels of uncertainty, several instances fail to admit conflict-free solutions, thus highlighting existing risk factors in aircraft conflict resolution. We attempt to explain this behavior by further analyzing pre- and post-optimization aircraft trajectories. Our findings show that most infeasible instances have both a relatively low total aircraft pairwise minimal distance and a high number of conflicts.","url":"https://arxiv.org/abs/2012.08230v1","authors":["Fernando H C Dias","David Rey"],"tags":["math.OC"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2020-12-15T11:45:55Z","addedAt":"2026-08-06T22:48:47.330Z"},{"id":"arxiv:0703259v1","name":"Passenger life-saving in a badly damaged aircraft scenario","source":"arxiv","abstract":"Offered is a new method for saving passenger lives in any catastrofic situation, including total failure of aircraft control, extreme damage and loss aircraft wings, tail, breakdown all propelling engines, etc. It shown here that previous works which have proposed using only parachutes are useless because their proposers failed to consider the likely overload of the parachute jerk stress (at the moment of parachute release) and the impact of aircraft on Earth surface. These jeck and impact destroy aircraft and kill passengers. Offered is a connected series of related technical innovations which overcome these obvious difficalties and allow for a soft, near zero speed landing in any topographically suitable place, allowing potential to save aircraft. This method may be applied to all existing airplanes and increases their weight only about 1.5 - 2.5%. Also, the method may be used for vertically landing the already built aircraft, for example, when any runway is damaged or would become overloaded.","url":"https://arxiv.org/abs/physics/0703259v1","authors":["Alexander Bolonkin"],"tags":["physics.gen-ph","physics.soc-ph"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2007-03-28T16:07:48Z","addedAt":"2026-08-06T22:48:47.330Z"},{"id":"arxiv:2411.05449v3","name":"Unmanned F/A-18 Aircraft Landing Control on Aircraft Carrier in Adverse Conditions","source":"arxiv","abstract":"Carrier landing of aircrafts is a challenge for control due to the existence of nonlinear wind disturbances and the requirements of changing reference trajectories. In this paper, a robust landing control system is presented for carrier landing of unmanned F/A-18 aircraft. In the control system, an augmented observer is applied to estimate the combined disturbances in the pitch dynamics of F/A-18 aircraft during carrier landing. Therefore, the control performance is improved through the control compensations from these estimations. Additionally, the controllers are designed to regulate the velocity, rate of descent and vertical position. A full model, including the nonlinear flight dynamics, controller, carrier deck motion, wind and measurement noise, is constructed numerically and implemented in software. Combining the observer with a proportional-derivative (PD) control, the proposed pitch control shows the better transient characteristics and stronger robustness than a proportional-integral-derivative (PID) controller. The simulations verify that the designed control system can make the aircraft quickly track a time-varying reference despite the existence of nonlinear disturbances and noise.","url":"https://arxiv.org/abs/2411.05449v3","authors":["Mikhail Kistyarev","Xinhua Wang"],"tags":["eess.SY"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2024-11-08T09:50:13Z","addedAt":"2026-08-06T22:48:47.330Z"},{"id":"arxiv:2604.24338v1","name":"Perfecting Aircraft Maneuvers with Reinforcement Learning","source":"arxiv","abstract":"This paper evaluates an advanced jet trainer's utilization of artificial intelligence (AI)-based aircraft aerobatic maneuvers with the intention of developing an AI-assisted pilot training module for specific aircraft maneuvers. A multitude of aircraft maneuvers have been simulated using reinforcement learning (RL) agents, which will serve as a training tool for future pilots.","url":"https://arxiv.org/abs/2604.24338v1","authors":["Atahan Cilan","Mahir Demir","Özgün Can Yürütken","Seyyid Osman Sevgili","Ümit Can Bekar"],"tags":["cs.LG"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2026-04-27T11:29:03Z","addedAt":"2026-08-06T22:48:47.330Z"},{"id":"arxiv:2008.00861v1","name":"Processing of Crowdsourced Observations of Aircraft in a High Performance Computing Environment","source":"arxiv","abstract":"As unmanned aircraft systems (UASs) continue to integrate into the U.S. National Airspace System (NAS), there is a need to quantify the risk of airborne collisions between unmanned and manned aircraft to support regulation and standards development. Both regulators and standards developing organizations have made extensive use of Monte Carlo collision risk analysis simulations using probabilistic models of aircraft flight. We've previously determined that the observations of manned aircraft by the OpenSky Network, a community network of ground-based sensors, are appropriate to develop models of the low altitude environment. This works overviews the high performance computing workflow designed and deployed on the Lincoln Laboratory Supercomputing Center to process 3.9 billion observations of aircraft. We then trained the aircraft models using more than 250,000 flight hours at 5,000 feet above ground level or below. A key feature of the workflow is that all the aircraft observations and supporting datasets are available as open source technologies or been released to the public domain.","url":"https://arxiv.org/abs/2008.00861v1","authors":["Andrew Weinert","Ngaire Underhill","Bilal Gill","Ashley Wicks"],"tags":["cs.DC","cs.CE"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2020-08-03T13:29:20Z","addedAt":"2026-08-06T22:48:47.330Z"},{"id":"arxiv:2406.17403v1","name":"A comparison of formulations for aircraft deconfliction","source":"arxiv","abstract":"In this work, we aim to compare different methods and formulations to solve a problem in air traffic management to global optimality. In particular, we focus on the aircraft deconfliction problem, where we are given n aircraft, their position at time 0, and their (straight) trajectories. We wish to identify and solve potential pairwise conflict by temporarily modifying the aircraft's trajectory. A pair of aircraft is in conflict when they do not respect a minimum, predefined safety distance. In general, conflicts could be solved both varying the aircraft's speed or trajectory, but in this paper we only consider the latter, more precisely heading-angle deviations. The problem has been formulated as a mixed integer nonlinear program (MINLP). We compare this formulation, solved by open-source MINLP solvers for global optimization, against a reformulation that shows a larger number of variables and constraints but only separable nonconvexities. We solve such a separable formulation with the same MINLP solvers or the Sequential Convex Mixed Integer Nonlinear Programming method. The separable formulation, despite being larger, facilitates some solvers in finding good-quality solutions.","url":"https://arxiv.org/abs/2406.17403v1","authors":["Renan Spencer Trindade","Claudia D'Ambrosio"],"tags":["math.OC"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2024-06-25T09:25:08Z","addedAt":"2026-08-06T22:48:47.330Z"},{"id":"arxiv:2408.07926v1","name":"Enhanced Equivalent Circuit Model for High Current Discharge of Lithium-Ion Batteries with Application to Electric Vertical Takeoff and Landing Aircraft","source":"arxiv","abstract":"Conventional battery equivalent circuit models (ECMs) have limited capability to predict performance at high discharge rates, where lithium depleted regions may develop and cause a sudden exponential drop in the cell's terminal voltage. Having accurate predictions of performance under such conditions is necessary for electric vertical takeoff and landing (eVTOL) aircraft applications, where high discharge currents can be required during fault scenarios and the inability to provide these currents can be safety-critical. To address this challenge, we utilize data-driven modeling methods to derive a parsimonious addition to a conventional ECM that can capture the observed rapid voltage drop with only one additional state. We also provide a detailed method for identifying the resulting model parameters, including an extensive characterization data set along with a well-regularized objective function formulation. The model is validated against a novel data set of over 150 flights encompassing a wide array of conditions for an eVTOL aircraft using an application-specific and safety-relevant reserve duration metric for quantifying accuracy. The model is shown to predict the landing hover capability with an error mean and standard deviation of 2.9 and 6.2 seconds, respectively, defining the model's ability to capture the cell voltage behavior under high discharge currents.","url":"https://arxiv.org/abs/2408.07926v1","authors":["Alireza Goshtasbi","Ruxiu Zhao","Ruiting Wang","Sangwoo Han","Wenting Ma","Jeremy Neubauer"],"tags":["eess.SY"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2024-08-15T04:39:43Z","addedAt":"2026-08-06T22:48:47.330Z"},{"id":"arxiv:2508.05532v2","name":"Aircraft routing: periodicity and complexity","source":"arxiv","abstract":"The aircraft routing problem is one of the most studied problems of operations research applied to aircraft management. It involves assigning flights to aircraft while ensuring regular visits to maintenance bases. This paper examines two aspects of the problem. First, we explore the relationship between periodic instances, where flights are the same every day, and periodic solutions. The literature has implicitly assumed-without discussion-that periodic instances necessitate periodic solutions, and even periodic solutions in a stronger form, where every two airplanes perform either the exact same cyclic sequence of flights, or completely disjoint cyclic sequences. However, enforcing such periodicity may eliminate feasible solutions. We prove that, when regular maintenance is required at most every four days, there always exist periodic solutions of this form. Second, we consider the computational hardness of the problem. Even if many papers in this area refer to the NP-hardness of the aircraft routing problem, such a result is only available in the literature for periodic instances. We establish its NP-hardness for a non-periodic version. Polynomiality of a special but natural case is also proven.","url":"https://arxiv.org/abs/2508.05532v2","authors":["Frédéric Meunier","Axel Parmentier","Nour ElHouda Tellache"],"tags":["cs.DM","math.OC"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2025-08-07T16:03:37Z","addedAt":"2026-08-06T22:48:47.330Z"},{"id":"arxiv:2410.07717v1","name":"On the Generalization Properties of Deep Learning for Aircraft Fuel Flow Estimation Models","source":"arxiv","abstract":"Accurately estimating aircraft fuel flow is essential for evaluating new procedures, designing next-generation aircraft, and monitoring the environmental impact of current aviation practices. This paper investigates the generalization capabilities of deep learning models in predicting fuel consumption, focusing particularly on their performance for aircraft types absent from the training data. We propose a novel methodology that integrates neural network architectures with domain generalization techniques to enhance robustness and reliability across a wide range of aircraft. A comprehensive dataset containing 101 different aircraft types, separated into training and generalization sets, with each aircraft type set containing 1,000 flights. We employed the base of aircraft data (BADA) model for fuel flow estimates, introduced a pseudo-distance metric to assess aircraft type similarity, and explored various sampling strategies to optimize model performance in data-sparse regions. Our results reveal that for previously unseen aircraft types, the introduction of noise into aircraft and engine parameters improved model generalization. The model is able to generalize with acceptable mean absolute percentage error between 2\\% and 10\\% for aircraft close to existing aircraft, while performance is below 1\\% error for known aircraft in the training set. This study highlights the potential of combining domain-specific insights with advanced machine learning techniques to develop scalable, accurate, and generalizable fuel flow estimation models.","url":"https://arxiv.org/abs/2410.07717v1","authors":["Gabriel Jarry","Ramon Dalmau","Philippe Very","Junzi Sun"],"tags":["cs.LG","cs.AI"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2024-10-10T08:34:19Z","addedAt":"2026-08-06T22:48:47.330Z"},{"id":"arxiv:2008.03138v4","name":"On the Potential of Extending Aircraft Service Time Using a Fatigue Damage Index","source":"arxiv","abstract":"Aircraft structures experience various kinds of loads over their entire lifetime, typically leading to fatigue and ultimately structural failure. In order to avoid structural failure during operation, the maximum number of flight cycles and flight hours is regulated by laws ensuring continued airworthiness. However, since every flight impacts the aircraft differently, not all airframes are equally stressed at the time of decommissioning. This paper proposes a new retirement criterion based on the so-called fatigue damage index (FDI). The criterion takes into account that aircraft are differently operated and thus enables an individual decommissioning of aircraft without compromising its safety. Based on aircraft sample data covering 95% of the Airbus A320 fleet over two years, the enhanced decommissioning criterion is estimated to significantly extend the average aircraft service life. The impact varies within the fleet, depending on the experienced seat load factors, cruise altitudes, and taxi times considered for the individual aircraft during operation. While seat load factors and flight altitudes significantly affect the defined FDI, the influence of taxi times is only minor. Based on the estimated increase in aircraft service life, the paper argues that for service life extensions, the FDI shall be considered as the limit of validity in the regulatory framework governing the decommissioning of aircraft.","url":"https://arxiv.org/abs/2008.03138v4","authors":["Simon Pfingstl","Dominik Steinweg","Markus Zimmermann","Mirko Hornung"],"tags":["eess.SY"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2020-08-07T12:58:13Z","addedAt":"2026-08-06T22:48:47.330Z"},{"id":"arxiv:2004.02582v4","name":"Optimal energy management for hybrid electric aircraft","source":"arxiv","abstract":"A convex formulation is proposed for optimal energy management in aircraft with hybrid propulsion systems consisting of gas turbine and electric motor components. By combining a point-mass aircraft dynamical model with models of electrical and mechanical powertrain losses, the fuel consumed over a planned future flight path is minimised subject to constraints on the battery, electric motor and gas turbine. The resulting optimisation problem is used to define a predictive energy management control law that takes into account the variation in aircraft mass during flight. A simulation study based on a representative 100-seat aircraft with a prototype parallel hybrid electric propulsion system is used to investigate the properties of the controller. We show that an optimisation-based control strategy can provide significant fuel savings over heuristic energy management strategies in this context.","url":"https://arxiv.org/abs/2004.02582v4","authors":["Martin Doff-Sotta","Mark Cannon","Marko Bacic"],"tags":["math.OC"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2020-04-06T11:55:26Z","addedAt":"2026-08-06T22:48:47.330Z"},{"id":"arxiv:2503.22124v8","name":"Scheduling problems of aircraft on a same runway and dual runways","source":"arxiv","abstract":"In this paper, the scheduling problems of landing and takeoff aircraft on a same runway and on dual runways are addressed. In contrast to the approaches based on mixed-integer optimization models in existing works, our approach focuses on the minimum separation times between aircraft by introducing some necessary assumptions and new concepts including relevance, breakpoint aircraft, path and class-monotonically-decreasing sequence. Four scheduling problems are discussed including landing scheduling problem, takeoff scheduling problem, and mixed landing and takeoff scheduling problems on a same runway and on dual runways with the consideration of conversions between different aircraft sequences in typical scenarios. Two real-time optimal algorithms are proposed for the four scheduling problems by fully exploiting the combinations of different classes of aircraft, and necessary definitions, lemmas and theorems are presented for the optimal convergence of the algorithms. Numerical examples are presented to show the effectiveness of the proposed algorithms. In particular, when 100 aircraft are considered, by using the algorithm in this paper, the optimal solution can be obtained in less than 5 seconds, while by using the CPLEX software to solve the mix-integer optimization model, the optimal solution cannot be obtained within 1 hour.","url":"https://arxiv.org/abs/2503.22124v8","authors":["Peng Lin","Haopeng Yang","Gui Gui","Mengxiang Zeng","Weihua Gui"],"tags":["math.OC"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2025-03-28T03:56:12Z","addedAt":"2026-08-06T22:48:47.330Z"},{"id":"arxiv:1903.03270v3","name":"A Novel Technique for Rejecting Non-Aircraft Artefacts in Above Horizon Vision-Based Aircraft Detection","source":"arxiv","abstract":"Unmanned aerial vehicle (UAV) operations are steadily expanding into many important applications. A key technology for better enabling their commercial use is an onboard sense and avoid (SAA) technology which can detect potential mid-air collision threats in the same manner expected from a human pilot. Ideally, aircraft should be detected as early as possible whilst maintaining a low false alarm rate, however, textured clouds and other unstructured terrain make this trade-off a challenge. In this paper we present a new technique for the modelling and detection of aircraft above the horizon that is able to penalise non-aircraft artefacts (such as textured clouds and other unstructured terrain). We evaluate the performance of our proposed system on flight data of a Cessna 172 on a near collision course encounter with a ScanEagle UAV data collection aircraft. By penalising non-aircraft artefacts we are able to demonstrate, for a zero false alarm rate, a mean detection range of 2445m corresponding to an improvement in detection ranges by 9.8% (218m).","url":"https://arxiv.org/abs/1903.03270v3","authors":["Jasmin James","Jason J. Ford","Timothy L. Molloy"],"tags":["eess.SY"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2019-03-08T04:01:14Z","addedAt":"2026-08-06T22:48:47.330Z"},{"id":"arxiv:2309.10774v1","name":"Inverse Optimal Control Design of a VTOL Aircraft","source":"arxiv","abstract":"A Vertical Takeoff and Landing (VTOL) aircraft is capable of short/vertical takeoffs and landings, thus eliminating the requirement of long runways. This feature makes them suitable for a broader variety of missions, generally not achievable by a traditional aircraft. The dynamics of the VTOL aircraft in the vertical plane has been used as a benchmark problem to demonstrate the effectiveness of different nonlinear control techniques, mainly due to being highly coupled and non-minimum phase. This paper presents the design of an inverse optimal control for a simplified VTOL aircraft model. The proposed control law is based on a Control Lyapunov Function (CLF) which exploits the normal form typically used for control design through feedback linearization. The suggested control law is compared with dynamic feedback linearization based control law and a comparison is drawn based on their efficacy and robustness.","url":"https://arxiv.org/abs/2309.10774v1","authors":["Kinza Rehman","Hafiz Zeeshan Iqbal Khan","Muhammad Farooq Haydar"],"tags":["eess.SY","math.OC"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2023-09-19T17:21:01Z","addedAt":"2026-08-06T22:48:47.330Z"},{"id":"arxiv:0910.5685v1","name":"A Radio System for Avoiding Illuminating Aircraft with a Laser Beam","source":"arxiv","abstract":"When scientific experiments require transmission of powerful laser or radio beams through the atmosphere the Federal Aviation Administration (FAA) requires that precautions be taken to avoid inadvertent illumination of aircraft. Here we describe a highly reliable system for detecting aircraft entering the vicinity of a laser beam by making use of the Air Traffic Control (ATC) transponders required on most aircraft. This system uses two antennas, both aligned with the laser beam. One antenna has a broad beam and the other has a narrow beam. The ratio of the transponder power received in the narrow beam to that received in the broad beam gives a measure of the angular distance of the aircraft from the axis that is independent of the range or the transmitter power. This ratio is easily measured and can be used to shutter the laser when the aircraft is too close to the beam. Prototype systems operating on astronomical telescopes have produced good results.","url":"https://arxiv.org/abs/0910.5685v1","authors":["W. A. Coles","T. W. Murphy","J. F. Melser","J. K. Tu","G. A. White","K. H. Kassabian","K. Bales","B. B. Baumgartner"],"tags":["astro-ph.IM"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2009-10-29T17:30:19Z","addedAt":"2026-08-06T22:48:47.330Z"},{"id":"arxiv:2512.08281v1","name":"Probabilistic Multi-Agent Aircraft Landing Time Prediction","source":"arxiv","abstract":"Accurate and reliable aircraft landing time prediction is essential for effective resource allocation in air traffic management. However, the inherent uncertainty of aircraft trajectories and traffic flows poses significant challenges to both prediction accuracy and trustworthiness. Therefore, prediction models should not only provide point estimates of aircraft landing times but also the uncertainties associated with these predictions. Furthermore, aircraft trajectories are frequently influenced by the presence of nearby aircraft through air traffic control interventions such as radar vectoring. Consequently, landing time prediction models must account for multi-agent interactions in the airspace. In this work, we propose a probabilistic multi-agent aircraft landing time prediction framework that provides the landing times of multiple aircraft as distributions. We evaluate the proposed framework using an air traffic surveillance dataset collected from the terminal airspace of the Incheon International Airport in South Korea. The results demonstrate that the proposed model achieves higher prediction accuracy than the baselines and quantifies the associated uncertainties of its outcomes. In addition, the model uncovered underlying patterns in air traffic control through its attention scores, thereby enhancing explainability.","url":"https://arxiv.org/abs/2512.08281v1","authors":["Kyungmin Kim","Seokbin Yoon","Keumjin Lee"],"tags":["cs.MA","cs.LG"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2025-12-09T06:27:26Z","addedAt":"2026-08-06T22:48:47.330Z"},{"id":"arxiv:2401.01083v1","name":"Aircraft Landing Time Prediction with Deep Learning on Trajectory Images","source":"arxiv","abstract":"Aircraft landing time (ALT) prediction is crucial for air traffic management, especially for arrival aircraft sequencing on the runway. In this study, a trajectory image-based deep learning method is proposed to predict ALTs for the aircraft entering the research airspace that covers the Terminal Maneuvering Area (TMA). Specifically, the trajectories of all airborne arrival aircraft within the temporal capture window are used to generate an image with the target aircraft trajectory labeled as red and all background aircraft trajectory labeled as blue. The trajectory images contain various information, including the aircraft position, speed, heading, relative distances, and arrival traffic flows. It enables us to use state-of-the-art deep convolution neural networks for ALT modeling. We also use real-time runway usage obtained from the trajectory data and the external information such as aircraft types and weather conditions as additional inputs. Moreover, a convolution neural network (CNN) based module is designed for automatic holding-related featurizing, which takes the trajectory images, the leading aircraft holding status, and their time and speed gap at the research airspace boundary as its inputs. Its output is further fed into the final end-to-end ALT prediction. The proposed ALT prediction approach is applied to Singapore Changi Airport (ICAO Code: WSSS) using one-month Automatic Dependent Surveillance-Broadcast (ADS-B) data from November 1 to November 30, 2022. Experimental results show that by integrating the holding featurization, we can reduce the mean absolute error (MAE) from 82.23 seconds to 43.96 seconds, and achieve an average accuracy of 96.1\\%, with 79.4\\% of the predictions errors being less than 60 seconds.","url":"https://arxiv.org/abs/2401.01083v1","authors":["Liping Huang","Sheng Zhang","Yicheng Zhang","Yi Zhang","Yifang Yin"],"tags":["cs.LG"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2024-01-02T07:56:05Z","addedAt":"2026-08-06T22:48:47.330Z"},{"id":"arxiv:1810.04244v1","name":"Distributed Wildfire Surveillance with Autonomous Aircraft using Deep Reinforcement Learning","source":"arxiv","abstract":"Teams of autonomous unmanned aircraft can be used to monitor wildfires, enabling firefighters to make informed decisions. However, controlling multiple autonomous fixed-wing aircraft to maximize forest fire coverage is a complex problem. The state space is high dimensional, the fire propagates stochastically, the sensor information is imperfect, and the aircraft must coordinate with each other to accomplish their mission. This work presents two deep reinforcement learning approaches for training decentralized controllers that accommodate the high dimensionality and uncertainty inherent in the problem. The first approach controls the aircraft using immediate observations of the individual aircraft. The second approach allows aircraft to collaborate on a map of the wildfire's state and maintain a time history of locations visited, which are used as inputs to the controller. Simulation results show that both approaches allow the aircraft to accurately track wildfire expansions and outperform an online receding horizon controller. Additional simulations demonstrate that the approach scales with different numbers of aircraft and generalizes to different wildfire shapes.","url":"https://arxiv.org/abs/1810.04244v1","authors":["Kyle D. Julian","Mykel J. Kochenderfer"],"tags":["cs.RO","cs.AI","cs.LG"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2018-10-09T21:13:05Z","addedAt":"2026-08-06T22:48:47.330Z"},{"id":"arxiv:1806.04779v1","name":"Convolutional Neural Networks for Aircraft Noise Monitoring","source":"arxiv","abstract":"Air travel is one of the fastest growing modes of transportation, however, the effects of aircraft noise on populations surrounding airports is hindering its growth. In an effort to study and ultimately mitigate the impact that this noise has, many airports continuously monitor the aircraft noise in their surrounding communities. Noise monitoring and analysis is complicated by the fact that aircraft are not the only source of noise. In this work, we show that a Convolutional Neural Network is well-suited for the task of identifying noise events which are not caused by aircraft. Our system achieves an accuracy of 0.970 when trained on 900 manually labeled noise events. Our training data and a TensorFlow implementation of our model are available at https://github.com/neheller/aircraftnoise.","url":"https://arxiv.org/abs/1806.04779v1","authors":["Nicholas Heller","Derek Anderson","Matt Baker","Brad Juffer","Nikolaos Papanikolopoulos"],"tags":["cs.CV"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2018-06-12T21:51:50Z","addedAt":"2026-08-06T22:48:47.330Z"},{"id":"arxiv:1711.10007v1","name":"Optimal Input Design for Autonomous Aircraft","source":"arxiv","abstract":"Accurate mathematical models of aerodynamic properties play an important role in the aerospace field. In some cases, system parameters of an aircraft can be estimated reliably only via flight tests. In order to obtain meaningful experimental data, the aircraft dynamics need to be excited via suitable maneuvers. In this paper, optimal maneuvers are obtained for an autonomous aircraft by solving a time domain model-based optimum experimental design problem that aims to obtain more accurate parameter estimates while enforcing safety constraints.The optimized inputs are compared with respect to conventional maneuvers widely used in the aerospace field and tested within real experiments.","url":"https://arxiv.org/abs/1711.10007v1","authors":["Giovanni Licitra","Adrian Bürger","Paul Williams","Richard Ruiterkamp","Moritz Diehl"],"tags":["math.OC"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2017-11-27T21:21:08Z","addedAt":"2026-08-06T22:48:47.330Z"},{"id":"arxiv:2203.08403v2","name":"Precise Onboard Aircraft Cabin Localization using UWB and ML","source":"arxiv","abstract":"Precise indoor positioning systems (IPSs) are key to perform a set of tasks more efficiently during aircraft production, operation and maintenance. For instance, IPSs can overcome the tedious task of configuring (wireless) sensor nodes in an aircraft cabin. Although various solutions based on technologies of established consumer goods, e.g., Bluetooth or WiFi, have been proposed and tested, the published accuracy results fail to make these technologies relevant for practical use cases. This stems from the challenging environments for positioning, especially in aircraft cabins, which is mainly due to the geometries, many obstacles, and highly reflective materials. To address these issues, we propose to evaluate in this work an Ultra-Wideband (UWB)-based IPS via a measurement campaign performed in a real aircraft cabin. We first illustrate the difficulties that an IPS faces in an aircraft cabin, by studying the signal propagation effects which were measured. We then investigate the ranging and localization accuracies of our IPS. Finally, we also introduce various methods based on machine learning (ML) for correcting the ranging measurements and demonstrate that we are able to localize a node with respect to an aircraft seat with a measured likelihood of 97%.","url":"https://arxiv.org/abs/2203.08403v2","authors":["Fabien Geyer","Dominic Schupke"],"tags":["cs.NI","cs.HC","eess.SP"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2022-03-16T05:38:09Z","addedAt":"2026-08-06T22:48:47.330Z"},{"id":"arxiv:2311.06368v1","name":"The AeroSonicDB (YPAD-0523) Dataset for Acoustic Detection and Classification of Aircraft","source":"arxiv","abstract":"The time and expense required to collect and label audio data has been a prohibitive factor in the availability of domain specific audio datasets. As the predictive specificity of a classifier depends on the specificity of the labels it is trained on, it follows that finely-labelled datasets are crucial for advances in machine learning. Aiming to stimulate progress in the field of machine listening, this paper introduces AeroSonicDB (YPAD-0523), a dataset of low-flying aircraft sounds for training acoustic detection and classification systems. This paper describes the method of exploiting ADS-B radio transmissions to passively collect and label audio samples. Provides a summary of the collated dataset. Presents baseline results from three binary classification models, then discusses the limitations of the current dataset and its future potential. The dataset contains 625 aircraft recordings ranging in event duration from 18 to 60 seconds, for a total of 8.87 hours of aircraft audio. These 625 samples feature 301 unique aircraft, each of which are supplied with 14 supplementary (non-acoustic) labels to describe the aircraft. The dataset also contains 3.52 hours of ambient background audio (\"silence\"), as a means to distinguish aircraft noise from other local environmental noises. Additionally, 6 hours of urban soundscape recordings (with aircraft annotations) are included as an ancillary method for evaluating model performance, and to provide a testing ground for real-time applications.","url":"https://arxiv.org/abs/2311.06368v1","authors":["Blake Downward","Jon Nordby"],"tags":["cs.SD","cs.LG","eess.AS"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2023-11-10T19:41:10Z","addedAt":"2026-08-06T22:48:47.330Z"},{"id":"arxiv:1810.10795v1","name":"TiGL - An Open Source Computational Geometry Library for Parametric Aircraft Design","source":"arxiv","abstract":"This paper introduces the software TiGL: TiGL is an open source high-fidelity geometry modeler that is used in the conceptual and preliminary aircraft and helicopter design phase. It creates full three-dimensional models of aircraft from their parametric CPACS description. Due to its parametric nature, it is typically used for aircraft design analysis and optimization. First, we present the use-case and architecture of TiGL. Then, we discuss it's geometry module, which is used to generate the B-spline based surfaces of the aircraft. The backbone of TiGL is its surface generator for curve network interpolation, based on Gordon surfaces. One major part of this paper explains the mathematical foundation of Gordon surfaces on B-splines and how we achieve the required curve network compatibility. Finally, TiGL's aircraft component module is introduced, which is used to create the external and internal parts of aircraft, such as wings, flaps, fuselages, engines or structural elements.","url":"https://arxiv.org/abs/1810.10795v1","authors":["Martin Siggel","Jan Kleinert","Tobias Stollenwerk","Reinhold Maierl"],"tags":["cs.CG"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2018-10-25T09:13:10Z","addedAt":"2026-08-06T22:48:47.330Z"},{"id":"arxiv:2201.07124v2","name":"Attentional Feature Refinement and Alignment Network for Aircraft Detection in SAR Imagery","source":"arxiv","abstract":"Aircraft detection in Synthetic Aperture Radar (SAR) imagery is a challenging task in SAR Automatic Target Recognition (SAR ATR) areas due to aircraft's extremely discrete appearance, obvious intraclass variation, small size and serious background's interference. In this paper, a single-shot detector namely Attentional Feature Refinement and Alignment Network (AFRAN) is proposed for detecting aircraft in SAR images with competitive accuracy and speed. Specifically, three significant components including Attention Feature Fusion Module (AFFM), Deformable Lateral Connection Module (DLCM) and Anchor-guided Detection Module (ADM), are carefully designed in our method for refining and aligning informative characteristics of aircraft. To represent characteristics of aircraft with less interference, low-level textural and high-level semantic features of aircraft are fused and refined in AFFM throughly. The alignment between aircraft's discrete back-scatting points and convolutional sampling spots is promoted in DLCM. Eventually, the locations of aircraft are predicted precisely in ADM based on aligned features revised by refined anchors. To evaluate the performance of our method, a self-built SAR aircraft sliced dataset and a large scene SAR image are collected. Extensive quantitative and qualitative experiments with detailed analysis illustrate the effectiveness of the three proposed components. Furthermore, the topmost detection accuracy and competitive speed are achieved by our method compared with other domain-specific,e.g., DAPN, PADN, and general CNN-based methods,e.g., FPN, Cascade R-CNN, SSD, RefineDet and RPDet.","url":"https://arxiv.org/abs/2201.07124v2","authors":["Yan Zhao","Lingjun Zhao","Zhong Liu","Dewen Hu","Gangyao Kuang","Li Liu"],"tags":["cs.CV"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2022-01-18T16:54:49Z","addedAt":"2026-08-06T22:48:47.330Z"},{"id":"arxiv:1909.02875v1","name":"Geolocation of an aircraft using image registration coupling modes for autonomous navigation","source":"arxiv","abstract":"This paper proposes to study an alternative technology to the GPS system on fixed wing aircraft using the aerial shots of landscapes from a ventral monocular camera integrated into the aircraft and based on the technology of image registration for aircraft geolocation purpose. Different types of use of the image registration technology exist: the relative registration and the absolute registration. The relative one is able to readjust position of the aircraft from two successive aerial shots by knowing the aircraft s position of image 1 and the overlap between the two images. The absolute registration compare a real time aerial shot with pre-referenced images stored in a database and permit the geolocation of the aircraft in comparing aerial shot with images of the database. Each kind of image registration technology has its own flaw preventing it to be used alone for aircraft geolocation. This study proposes to evaluate, according to different physical parameters ( aircraft speed, flight altitude, density of image points of interest), the coupling of these different types of image registration. Finally, this study also aims to quantify some image registration performances, particularly its execution time or its drift.","url":"https://arxiv.org/abs/1909.02875v1","authors":["Nima Ziaei"],"tags":["eess.IV","cs.CV"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2019-09-06T12:53:00Z","addedAt":"2026-08-06T22:48:47.330Z"},{"id":"arxiv:2007.03352v1","name":"Modeling, Simulation and Implementation of a Bird-Inspired Morphing Wing Aircraft","source":"arxiv","abstract":"We present a design of a bird-inspired morphing wing aircraft, including bionic research, modeling, simulation and flight experiments. Inspired by birds and activated by a planar linkage, our proposed aircraft has three key states: gliding, descending and high-maneuverability. We build the aerodynamic model of the aircraft and analyze its mechanisms to find out a group of optimized parameters. Furthermore, we validate our design by Computational Fluid Dynamics (CFD) simulation based on Lattice-Boltzmann technology and determine three phases of the planar linkage for the three states. Lastly, we manufacture a prototype and conduct flight experiments to test the performance of the aircraft.","url":"https://arxiv.org/abs/2007.03352v1","authors":["Kun Xiao","Yuxin Chen","Wuyao Jiang","Chenyao Wang","Longfei Zhao"],"tags":["eess.SY"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2020-07-07T11:33:21Z","addedAt":"2026-08-06T22:48:47.330Z"},{"id":"arxiv:2504.16467v1","name":"MTSGL: Multi-Task Structure Guided Learning for Robust and Interpretable SAR Aircraft Recognition","source":"arxiv","abstract":"Aircraft recognition in synthetic aperture radar (SAR) imagery is a fundamental mission in both military and civilian applications. Recently deep learning (DL) has emerged a dominant paradigm for its explosive performance on extracting discriminative features. However, current classification algorithms focus primarily on learning decision hyperplane without enough comprehension on aircraft structural knowledge. Inspired by the fined aircraft annotation methods for optical remote sensing images (RSI), we first introduce a structure-based SAR aircraft annotations approach to provide structural and compositional supplement information. On this basis, we propose a multi-task structure guided learning (MTSGL) network for robust and interpretable SAR aircraft recognition. Besides the classification task, MTSGL includes a structural semantic awareness (SSA) module and a structural consistency regularization (SCR) module. The SSA is designed to capture structure semantic information, which is conducive to gain human-like comprehension of aircraft knowledge. The SCR helps maintain the geometric consistency between the aircraft structure in SAR imagery and the proposed annotation. In this process, the structural attribute can be disentangled in a geometrically meaningful manner. In conclusion, the MTSGL is presented with the expert-level aircraft prior knowledge and structure guided learning paradigm, aiming to comprehend the aircraft concept in a way analogous to the human cognitive process. Extensive experiments are conducted on a self-constructed multi-task SAR aircraft recognition dataset (MT-SARD) and the effective results illustrate the superiority of robustness and interpretation ability of the proposed MTSGL.","url":"https://arxiv.org/abs/2504.16467v1","authors":["Qishan He","Lingjun Zhao","Ru Luo","Siqian Zhang","Lin Lei","Kefeng Ji","Gangyao Kuang"],"tags":["cs.CV"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2025-04-23T07:27:08Z","addedAt":"2026-08-06T22:48:47.330Z"},{"id":"arxiv:2404.03595v2","name":"DiffDet4SAR: Diffusion-based Aircraft Target Detection Network for SAR Images","source":"arxiv","abstract":"Aircraft target detection in SAR images is a challenging task due to the discrete scattering points and severe background clutter interference. Currently, methods with convolution-based or transformer-based paradigms cannot adequately address these issues. In this letter, we explore diffusion models for SAR image aircraft target detection for the first time and propose a novel \\underline{Diff}usion-based aircraft target \\underline{Det}ection network \\underline{for} \\underline{SAR} images (DiffDet4SAR). Specifically, the proposed DiffDet4SAR yields two main advantages for SAR aircraft target detection: 1) DiffDet4SAR maps the SAR aircraft target detection task to a denoising diffusion process of bounding boxes without heuristic anchor size selection, effectively enabling large variations in aircraft sizes to be accommodated; and 2) the dedicatedly designed Scattering Feature Enhancement (SFE) module further reduces the clutter intensity and enhances the target saliency during inference. Extensive experimental results on the SAR-AIRcraft-1.0 dataset show that the proposed DiffDet4SAR achieves 88.4\\% mAP$_{50}$, outperforming the state-of-the-art methods by 6\\%. Code is availabel at \\href{https://github.com/JoyeZLearning/DiffDet4SAR}.","url":"https://arxiv.org/abs/2404.03595v2","authors":["Zhou Jie","Xiao Chao","Peng Bo","Liu Zhen","Liu Li","Liu Yongxiang","Li Xiang"],"tags":["eess.IV","eess.SP"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2024-04-04T17:02:28Z","addedAt":"2026-08-06T22:48:47.330Z"},{"id":"arxiv:2402.16486v1","name":"Intelligent Known and Novel Aircraft Recognition -- A Shift from Classification to Similarity Learning for Combat Identification","source":"arxiv","abstract":"Precise aircraft recognition in low-resolution remote sensing imagery is a challenging yet crucial task in aviation, especially combat identification. This research addresses this problem with a novel, scalable, and AI-driven solution. The primary hurdle in combat identification in remote sensing imagery is the accurate recognition of Novel/Unknown types of aircraft in addition to Known types. Traditional methods, human expert-driven combat identification and image classification, fall short in identifying Novel classes. Our methodology employs similarity learning to discern features of a broad spectrum of military and civilian aircraft. It discerns both Known and Novel aircraft types, leveraging metric learning for the identification and supervised few-shot learning for aircraft type classification. To counter the challenge of limited low-resolution remote sensing data, we propose an end-to-end framework that adapts to the diverse and versatile process of military aircraft recognition by training a generalized embedder in fully supervised manner. Comparative analysis with earlier aircraft image classification methods shows that our approach is effective for aircraft image classification (F1-score Aircraft Type of 0.861) and pioneering for quantifying the identification of Novel types (F1-score Bipartitioning of 0.936). The proposed methodology effectively addresses inherent challenges in remote sensing data, thereby setting new standards in dataset quality. The research opens new avenues for domain experts and demonstrates unique capabilities in distinguishing various aircraft types, contributing to a more robust, domain-adapted potential for real-time aircraft recognition.","url":"https://arxiv.org/abs/2402.16486v1","authors":["Ahmad Saeed","Haasha Bin Atif","Usman Habib","Mohsin Bilal"],"tags":["cs.CV","cs.AI"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2024-02-26T11:08:26Z","addedAt":"2026-08-06T22:48:47.330Z"},{"id":"arxiv:2309.14941v2","name":"Learning Generative Models for Climbing Aircraft from Radar Data","source":"arxiv","abstract":"Accurate trajectory prediction (TP) for climbing aircraft is hampered by the presence of epistemic uncertainties concerning aircraft operation, which can lead to significant misspecification between predicted and observed trajectories. This paper proposes a generative model for climbing aircraft in which the standard Base of Aircraft Data (BADA) model is enriched by a functional correction to the thrust that is learned from data. The method offers three features: predictions of the arrival time with 26.7% less error when compared to BADA; generated trajectories that are realistic when compared to test data; and a means of computing confidence bounds for minimal computational cost.","url":"https://arxiv.org/abs/2309.14941v2","authors":["Nick Pepper","Marc Thomas"],"tags":["eess.SY","cs.LG"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2023-09-26T13:53:53Z","addedAt":"2026-08-06T22:48:47.330Z"},{"id":"arxiv:2506.07585v3","name":"Aircraft Trajectory Dataset Augmentation in Latent Space","source":"arxiv","abstract":"Aircraft trajectory modeling plays a crucial role in air traffic management (ATM) and is important for various downstream tasks, including conflict detection and landing time prediction. Dataset augmentation by adding synthetically generated trajectory data is necessary to develop a more robust aircraft trajectory model and ensure that the trajectory dataset is sufficient and balanced. We propose a novel framework called ATRADA for aircraft trajectory dataset augmentation. In the proposed framework, a Transformer encoder learns the underlying patterns in the original trajectory dataset and converts each data point into a context vector in the learned latent space. The converted dataset is projected to reduced dimensions using principal component analysis (PCA), and a Gaussian mixture model (GMM) is applied to fit the probability distribution of the data points in the reduced-dimensional space. Finally, new samples are drawn from the fitted GMM, the dimension of the samples is reverted to the original dimension, and the samples are decoded with a multi-layer perceptron (MLP). Several experiments demonstrate that the framework effectively generates new, high-quality synthetic aircraft trajectory data, which were compared to the results of several baselines.","url":"https://arxiv.org/abs/2506.07585v3","authors":["Seokbin Yoon","Keumjin Lee"],"tags":["cs.LG"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2025-06-09T09:29:37Z","addedAt":"2026-08-06T22:48:47.330Z"},{"id":"arxiv:1402.0582v1","name":"Scheduling a Dynamic Aircraft Repair Shop with Limited Repair Resources","source":"arxiv","abstract":"We address a dynamic repair shop scheduling problem in the context of military aircraft fleet management where the goal is to maintain a full complement of aircraft over the long-term. A number of flights, each with a requirement for a specific number and type of aircraft, are already scheduled over a long horizon. We need to assign aircraft to flights and schedule repair activities while considering the flights requirements, repair capacity, and aircraft failures. The number of aircraft awaiting repair dynamically changes over time due to failures and it is therefore necessary to rebuild the repair schedule online. To solve the problem, we view the dynamic repair shop as successive static repair scheduling sub-problems over shorter time periods. We propose a complete approach based on the logic-based Benders decomposition to solve the static sub-problems, and design different rescheduling policies to schedule the dynamic repair shop. Computational experiments demonstrate that the Benders model is able to find and prove optimal solutions on average four times faster than a mixed integer programming model. The rescheduling approach having both aspects of scheduling over a longer horizon and quickly adjusting the schedule increases aircraft available in the long term by 10% compared to the approaches having either one of the aspects alone.","url":"https://arxiv.org/abs/1402.0582v1","authors":["Maliheh Aramon Bajestani","J. Christopher Beck"],"tags":["cs.AI"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2014-02-04T01:42:10Z","addedAt":"2026-08-06T22:48:47.330Z"},{"id":"arxiv:2509.13065v1","name":"A Dantzig-Wolfe Reformulation for Automated Aircraft Arrival Routing and Scheduling","source":"arxiv","abstract":"We consider the problem of computing aircraft arrival routes in a terminal maneuvering area (TMA) together with an automated scheduling of all the arrivals within a given time interval. The arrival routes are modeled as energy-efficient continuous-descent operations, such that separation based on wake-turbulence categories is guaranteed within the TMA. We propose a new model based on a Dantzig-Wolfe reformulation of a previous model for this problem. As in the previous model, we include tree consistency across consecutive planning intervals. However, the reformulation enables us to further improve the model and also consider aircraft that remain in the TMA from the previous period, a feature critical for operational safety. In computational experiments for Stockholm Arlanda airport, the new model consistently outperforms the previous one: we obtain solutions within 5 seconds to 12.65 minutes compared to 40.9 hours with the old model for instances of half hours with high traffic. In addition, we are able to solve instances of a full hour of arriving aircraft with high traffic (33 aircraft) within 22.22 to 58.57 minutes, whereas the old model could not solve these instances at all. While we schedule all aircraft as continuous-descent arrivals, our model can be applied to any type of speed profiles for the arriving aircraft.","url":"https://arxiv.org/abs/2509.13065v1","authors":["Roghayeh Hajizadeh","Tatiana Polishchuk","Elina Rönnberg","Christiane Schmidt"],"tags":["math.OC"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2025-09-16T13:21:14Z","addedAt":"2026-08-06T22:48:47.330Z"},{"id":"arxiv:2006.09942v1","name":"Pitch Control by LQR for Fixed Wing Aircraft During Microburst Encounter","source":"arxiv","abstract":"In this study, a linear mathematical model representing longitudinal flight dynamics of an airplane is developed and responses of the aircraft during a microburst encounter are investigated. The effects of microburst that are acting on the aircraft are attempted to be suppressed with the elevator control surface of the aircraft, which is controlled by Linear Quadratic Regulator method. To illustrate the effectiveness of the proposed control method, numerous numbers of simulation studies is performed. As a result of the simulations, it is observed that effects of microburst on the pitching angle and altitude are significantly attenuated by the proposed control method. In addition, it is confirmed that the elevator control surface movement which provides the necessary controller input is within the physical capabilities of the aircraft.","url":"https://arxiv.org/abs/2006.09942v1","authors":["Sukru Ayyildiz","Hakan Yazici"],"tags":["eess.SY","math.OC"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2020-06-17T15:39:36Z","addedAt":"2026-08-06T22:48:47.330Z"},{"id":"arxiv:2411.19568v1","name":"Mixed-Integer Linear Programming Model for Collision Avoidance Planning in Commercial Aircraft Formations","source":"arxiv","abstract":"With advancements in technology, commercial aircraft formation flying is becoming increasingly feasible as an efficient and environmentally friendly flight method. However, gaps remain in practical implementation, particularly in collision avoidance for aircraft formations. Existing avoidance algorithms mainly focus on single aircraft or UAV swarms, lacking comprehensive studies on the complex interactions within commercial aircraft formations. To address this, this paper proposes an optimization model designed to generate safe and effective collision avoidance solutions for commercial aircraft formations. This model demonstrates avoidance paths for formations facing intruders and offers insights for developing formation flight strategies. This study explores response strategies for commercial aircraft formations encountering intruders, considering the difficulty of pilot maneuvers. The findings provide theoretical support for the practical implementation of commercial formation flying and may advance the adoption of this technology.","url":"https://arxiv.org/abs/2411.19568v1","authors":["Songqiying Yang","Ania Adil","Eric Feron"],"tags":["eess.SY"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2024-11-29T09:28:36Z","addedAt":"2026-08-06T22:48:47.330Z"},{"id":"arxiv:2207.07310v2","name":"Design of conformal antenna for aircraft application","source":"arxiv","abstract":"The most challenging thing in the real world is communicating with aircraft, even though several communication technologies have been adopted for tracking and monitoring the aircraft there is no cent per cent efficiency, for the implementation of a conformal antenna for transmission and reception of the signal is preferred. In radio communication and avionics, a conformal antenna or conformal array is a flat radio antenna which is designed to conform to or follow some prescribed shape, for example, a curved conformal antenna is designed and is mounted on or embedded in a curved surface. The conformal antenna is a collection of a large number of smaller antennas (PAA) each one is connected to a phase shifter. The phased array antenna will have high directivity in the desired application. Conformal arrays are typically limited to high frequencies in the UHF or microwave range, where the wavelength of the waves is small enough that small antennas can be used. The main objective of this project is to embed this conformal antenna on the surface of the aircraft with increased gain. To implement the above-mentioned problem we are using CST microwave software. Conventional methods now used in aircraft are done by using the conformal antenna to save space and even military applications to be anonymous. The antenna stands to be an interface between the transmitter and the receiver. By working on the software and hardware features of antennas we can develop an antenna with better gain. By adopting better gain, the antenna will be more efficient. Thus by implementing this conformal antenna on the aircraft surface with an increased gain high degree of accuracy, clarity and effective communication link can be achieved.","url":"https://arxiv.org/abs/2207.07310v2","authors":["Laxminarayen N","Lokeshwaran G","Murugan K S","Jothilakshmi P"],"tags":["eess.SY"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2022-07-15T06:57:53Z","addedAt":"2026-08-06T22:48:47.330Z"},{"id":"arxiv:2110.12858v1","name":"Benchmarking the Processing of Aircraft Tracks with Triples Mode and Self-Scheduling","source":"arxiv","abstract":"As unmanned aircraft systems (UASs) continue to integrate into the U.S. National Airspace System (NAS), there is a need to quantify the risk of airborne collisions between unmanned and manned aircraft to support regulation and standards development. Developing and certifying collision avoidance systems often rely on the extensive use of Monte Carlo collision risk analysis simulations using probabilistic models of aircraft flight. To train these models, high performance computing resources are required. We've prototyped a high performance computing workflow designed and deployed on the Lincoln Laboratory Supercomputing Center to process billions of observations of aircraft. However, the prototype has various computational and storage bottlenecks that limited rapid or more comprehensive analyses and models. In response, we have developed a novel workflow to take advantage of various job launch and task distribution technologies to improve performance. The workflow was benchmarked using two datasets of observations of aircraft, including a new dataset focused on the environment around aerodromes. Optimizing how the workflow was parallelized drastically reduced the execution time from weeks to days.","url":"https://arxiv.org/abs/2110.12858v1","authors":["Andrew Weinert","Marc Brittain","Ngaire Underhill","Christine Serres"],"tags":["cs.DC"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2021-08-30T20:30:51Z","addedAt":"2026-08-06T22:48:47.330Z"},{"id":"arxiv:2208.08969v1","name":"To charge in-flight or not: an inquiry into parallel-hybrid electric aircraft configurations via optimal control","source":"arxiv","abstract":"We examine two configurations for parallel hybrid electric aircraft, one with, and one without, a mechanical connection between the engines and the electric motors. For this two designs, we then review the power allocation problem in the context of aircraft energy management for a 19-seat conceptual Hybrid Electric Aircraft. We then represent the original optimal control problem as a finite-dimensional optimization and validate the second-order sufficient conditions for global optimality of the obtained solution. This is then followed by a sensitivity analysis of the fuel consumption on the initial aircraft weight and flight endurance. Our simulation and theoretical results clarify the limited benefit of charging the battery in-flight for this class of hybrid electric aircraft to reduce $CO_2$ emissions.","url":"https://arxiv.org/abs/2208.08969v1","authors":["Mengyuan Wang","Mehran Mesbahi"],"tags":["math.OC","eess.SY"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2022-08-18T17:18:06Z","addedAt":"2026-08-06T22:48:47.330Z"},{"id":"arxiv:1903.03275v1","name":"Below Horizon Aircraft Detection Using Deep Learning for Vision-Based Sense and Avoid","source":"arxiv","abstract":"Commercial operation of unmanned aerial vehicles (UAVs) would benefit from an onboard ability to sense and avoid (SAA) potential mid-air collision threats. In this paper we present a new approach for detection of aircraft below the horizon. We address some of the challenges faced by existing vision-based SAA methods such as detecting stationary aircraft (that have no relative motion to the background), rejecting moving ground vehicles, and simultaneous detection of multiple aircraft. We propose a multi-stage, vision-based aircraft detection system which utilises deep learning to produce candidate aircraft that we track over time. We evaluate the performance of our proposed system on real flight data where we demonstrate detection ranges comparable to the state of the art with the additional capability of detecting stationary aircraft, rejecting moving ground vehicles, and tracking multiple aircraft.","url":"https://arxiv.org/abs/1903.03275v1","authors":["Jasmin James","Jason J. Ford","Timothy L. Molloy"],"tags":["cs.RO"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2019-03-08T04:09:54Z","addedAt":"2026-08-06T22:48:47.330Z"},{"id":"arxiv:1101.4957v2","name":"Aircraft Proximity Maps Based on Data-Driven Flow Modeling","source":"arxiv","abstract":"With the forecast increase in air traffic demand over the next decades, it is imperative to develop tools to provide traffic flow managers with the information required to support decision making. In particular, decision-support tools for traffic flow management should aid in limiting controller workload and complexity, while supporting increases in air traffic throughput. While many decision-support tools exist for short-term traffic planning, few have addressed the strategic needs for medium- and long-term planning for time horizons greater than 30 minutes. This paper seeks to address this gap through the introduction of 3D aircraft proximity maps that evaluate the future probability of presence of at least one or two aircraft at any given point of the airspace. Three types of proximity maps are presented: presence maps that indicate the local density of traffic; conflict maps that determine locations and probabilities of potential conflicts; and outliers maps that evaluate the probability of conflict due to aircraft not belonging to dominant traffic patterns. These maps provide traffic flow managers with information relating to the complexity and difficulty of managing an airspace. The intended purpose of the maps is to anticipate how aircraft flows will interact, and how outliers impact the dominant traffic flow for a given time period. This formulation is able to predict which \"critical\" regions may be subject to conflicts between aircraft, thereby requiring careful monitoring. These probabilities are computed using a generative aircraft flow model. Time-varying flow characteristics, such as geometrical configuration, speed, and probability density function of aircraft spatial distribution within the flow, are determined from archived Enhanced Traffic Management System data, using a tailored clustering algorithm. Aircraft not belonging to flows are identified as outliers.","url":"https://arxiv.org/abs/1101.4957v2","authors":["Erwan Salaün","Maxime Gariel","Adan Vela","Eric Feron"],"tags":["eess.SY","physics.data-an"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2011-01-25T21:21:55Z","addedAt":"2026-08-06T22:48:47.330Z"},{"id":"arxiv:2410.15559v1","name":"Development of Minimal Biorobotic Stealth Distance and Its Application in the Design of Direct-Drive Dragonfly-Inspired Aircraft","source":"arxiv","abstract":"This paper introduces the Minimal Biorobotic Stealth Distance (MBSD), a novel quantitative metric to evaluate the bionic resemblance of biorobotic aircraft. Current technological limitations prevent dragonfly-inspired aircrafts from achieving optimal performance at biological scales. To address these challenges, we use the DDD-1 dragonfly-inspired aircraft, a hover-capable direct-drive aircraft, to explore the impact of the MBSD on aircraft design. Key contributions of this research include: (1) the establishment of the MBSD as a quantifiable and operable evaluation metric that influences aircraft design, integrating seamlessly with the overall design process and providing a new dimension for optimizing bionic aircraft, balancing mechanical attributes and bionic characteristics; (2) the creation and analysis of a typical aircraft in four directions: essential characteristics of the MBSD, its coupling relationship with existing performance metrics (Longest Hover Duration and Maximum Instantaneous Forward Flight Speed), multi-objective optimization, and application in a typical mission scenario; (3) the construction and validation of a full-system model for the direct-drive dragonfly-inspired aircraft, demonstrating the design model's effectiveness against existing aircraft data. Detailed calculations of the MBSD consider appearance similarity, dynamic similarity, and environmental similarity.","url":"https://arxiv.org/abs/2410.15559v1","authors":["Zhang Minghao","Song Bifeng","Yang Xiaojun","Wang Liang","Lang Xinyua"],"tags":["cs.RO"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2024-10-21T01:05:20Z","addedAt":"2026-08-06T22:48:47.330Z"},{"id":"arxiv:2107.05803v1","name":"Design of a Smooth Landing Trajectory Tracking System for a Fixed-wing Aircraft","source":"arxiv","abstract":"This paper presents a landing controller for a fixed-wing aircraft during the landing phase, ensuring the aircraft reaches the touchdown point smoothly. The landing problem is converted to a finite-time linear quadratic tracking (LQT) problem in which an aircraft needs to track the desired landing path in the longitudinal-vertical plane while satisfying performance requirements and flight constraints. First, we design a smooth trajectory that meets flight performance requirements and constraints. Then, an optimal controller is designed to minimize the tracking error, while landing the aircraft within the desired time frame. For this purpose, a linearized model of an aircraft developed under the assumption of a small flight path angle and a constant approach speed is used. The resulting Differential Riccati equation is solved backward in time using the Dormand Prince algorithm. Simulation results show a satisfactory tracking performance and the finite-time convergence of tracking errors for different initial conditions of the flare-out phase of landing.","url":"https://arxiv.org/abs/2107.05803v1","authors":["Solomon Gudeta","Ali Karimoddini"],"tags":["eess.SY","cs.RO"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2021-07-13T01:40:36Z","addedAt":"2026-08-06T22:48:47.330Z"},{"id":"arxiv:2506.10505v1","name":"J-DDL: Surface Damage Detection and Localization System for Fighter Aircraft","source":"arxiv","abstract":"Ensuring the safety and extended operational life of fighter aircraft necessitates frequent and exhaustive inspections. While surface defect detection is feasible for human inspectors, manual methods face critical limitations in scalability, efficiency, and consistency due to the vast surface area, structural complexity, and operational demands of aircraft maintenance. We propose a smart surface damage detection and localization system for fighter aircraft, termed J-DDL. J-DDL integrates 2D images and 3D point clouds of the entire aircraft surface, captured using a combined system of laser scanners and cameras, to achieve precise damage detection and localization. Central to our system is a novel damage detection network built on the YOLO architecture, specifically optimized for identifying surface defects in 2D aircraft images. Key innovations include lightweight Fasternet blocks for efficient feature extraction, an optimized neck architecture incorporating Efficient Multiscale Attention (EMA) modules for superior feature aggregation, and the introduction of a novel loss function, Inner-CIOU, to enhance detection accuracy. After detecting damage in 2D images, the system maps the identified anomalies onto corresponding 3D point clouds, enabling accurate 3D localization of defects across the aircraft surface. Our J-DDL not only streamlines the inspection process but also ensures more comprehensive and detailed coverage of large and complex aircraft exteriors. To facilitate further advancements in this domain, we have developed the first publicly available dataset specifically focused on aircraft damage. Experimental evaluations validate the effectiveness of our framework, underscoring its potential to significantly advance automated aircraft inspection technologies.","url":"https://arxiv.org/abs/2506.10505v1","authors":["Jin Huang","Mingqiang Wei","Zikuan Li","Hangyu Qu","Wei Zhao","Xinyu Bai"],"tags":["cs.CV"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2025-06-12T09:05:35Z","addedAt":"2026-08-06T22:48:47.330Z"},{"id":"arxiv:2405.12836v2","name":"Aircraft Conflict Resolution: A Benchmark Generator","source":"arxiv","abstract":"Aircraft conflict resolution is one of the major tasks of computer-aided air traffic management and represents a challenging optimization problem. Many models and methods have been proposed to assist trajectory regulation to avoid conflicts. However, the question of testing the different mathematical optimization approaches against each other is still open. Standard benchmarks include unrealistic scenarios in which all the flights move toward a common point or completely random generated instances. There is a lack of a common set of test instances that allows comparison of the available methods under a variety of heterogeneous and representative scenarios. We present a flight deconfliction benchmark generator that allows the user to choose between (i) different predefined scenario inspired by existing benchmarks in the literature; (ii) pseudo-random traffic meeting certain congestion measurements; (iii) and randomly generated traffic. The proposed setting can account for different levels of difficulty in the deconfliction of the aircraft and allows to explore and compare the real limitations of optimization approaches for aircraft conflict resolution.","url":"https://arxiv.org/abs/2405.12836v2","authors":["Mercedes Pelegrin","Martina Cerulli"],"tags":["math.OC"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2024-05-21T14:39:39Z","addedAt":"2026-08-06T22:48:47.330Z"},{"id":"arxiv:2211.10324v1","name":"Flight Management System for Hydrogen-Powered Aircraft in Cruise","source":"arxiv","abstract":"The minimization of the Direct Operating Cost (DOC) for hydrogen-powered aircraft is formulated in this paper as an optimal control problem and is solved based on Pontryagin's minimum principle. As a consequence, the optimum cruise flight speed is determined assuming cruising at a constant altitude. The optimization criterion corresponds to the minimization of a functional representing the trade-off between the cost of hydrogen fuel and time-dependent costs, which are related by a parameter denoted by cost index. The value of this parameter is introduced by a pilot into the Flight Management System (FMS) of the aircraft. The HY4 aircraft model is used to obtain numerical results for the proposed methodology.","url":"https://arxiv.org/abs/2211.10324v1","authors":["Maxim Kaptsov","Luis Rodrigues"],"tags":["math.OC"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2022-11-18T16:34:49Z","addedAt":"2026-08-06T22:48:47.330Z"},{"id":"arxiv:1711.10302v1","name":"Hidden attractors in aircraft control systems with saturated inputs","source":"arxiv","abstract":"In the paper, the control problem with limitations on the magnitude and rate of the control action in aircraft control systems, is studied. Existence of hidden oscillations in the case of actuator position and rate limitations is demonstrated by the examples of piloted aircraft pilot involved oscillations (PIO) phenomenon and the airfoil flutter suppression system.","url":"https://arxiv.org/abs/1711.10302v1","authors":["B. R. Andrievsky","E. V. Kudryashova","N. V. Kuznetsov","O. A. Kuznetsova","G. A. Leonov"],"tags":["eess.SY","math.DS"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2017-11-23T19:12:20Z","addedAt":"2026-08-06T22:48:47.330Z"},{"id":"arxiv:1810.09568v1","name":"Learning Probabilistic Trajectory Models of Aircraft in Terminal Airspace from Position Data","source":"arxiv","abstract":"Models for predicting aircraft motion are an important component of modern aeronautical systems. These models help aircraft plan collision avoidance maneuvers and help conduct offline performance and safety analyses. In this article, we develop a method for learning a probabilistic generative model of aircraft motion in terminal airspace, the controlled airspace surrounding a given airport. The method fits the model based on a historical dataset of radar-based position measurements of aircraft landings and takeoffs at that airport. We find that the model generates realistic trajectories, provides accurate predictions, and captures the statistical properties of aircraft trajectories. Furthermore, the model trains quickly, is compact, and allows for efficient real-time inference.","url":"https://arxiv.org/abs/1810.09568v1","authors":["Shane Barratt","Mykel Kochenderfer","Stephen Boyd"],"tags":["cs.LG","stat.ML"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2018-10-22T21:41:11Z","addedAt":"2026-08-06T22:48:47.330Z"},{"id":"arxiv:2605.23592v1","name":"Solving the Aircraft Disassembly Scheduling Problem","source":"arxiv","abstract":"Dismantling aircrafts reaching their end of life is a complex endeavour that is necessary in terms of sustainability but yields small income margins for air transport companies. An efficient scheduling of the disassembly procedure is thus crucial to ensure the profitability of the process and incentivize practice. This is a large scheduling problem that involves thousands of tasks and many different constraints: Extracting parts that are destined to be reused requires technicians with specific certifications and equipment. Extraction operations might be subject to precedence relations. Furthermore, the aircraft must be kept balanced during the whole process. Finally, some of the locations of the aircraft have a limited space that caps the number of technicians able to work there concurrently. This article presents the problem in details and proposes two approaches to solve the problem: a Constraint Programming model and a MIP model. The models are tested on instances of varying sizes involving up to 1450 tasks, which are based on real operational data provided by an industrial partner.","url":"https://arxiv.org/abs/2605.23592v1","authors":["Charles Thomas","Pierre Schaus"],"tags":["cs.AI"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2026-05-22T13:01:16Z","addedAt":"2026-08-06T22:48:47.330Z"},{"id":"arxiv:2604.12885v1","name":"Picard Iteration for Parameter Estimation in Nonlinear Dynamic Models of Aircraft and Spacecraft","source":"arxiv","abstract":"The attitude dynamics of aircraft and spacecraft exhibit significantly nonlinear behaviour. In spacecraft, torque is generated through reaction wheels and control moment gyros. In aircraft, torque is generated using lift on control surfaces. In both cases, complex geometries, unique configurations, and internal/environmental changes imply that models must be identified, verified, and updated using in-flight experimental data. However, this data is often noisy, sparsely sampled, and partial in that modeled states may not be directly measurable. In this paper, we propose a method for estimating key parameters in realistic Ordinary Differential Equation (ODE) models of both spacecraft and aircraft dynamics. This method avoids the need to directly measure state derivatives by coupling sampled outputs using the Picard mapping -- an integral constraint on the solution of the parameterized ODE. This constraint is then enforced, and optimal parameter estimates are found using a gradient contraction algorithm. This algorithm is applied to well-studied models of spacecraft and aircraft motion. First, the algorithm is used to estimate the inertia tensor in a 4 control-moment gyro (CMG) model of spacecraft motion. Second, we estimate the 28 higher-order control surface coefficients in a model of the F/A-18 aircraft.","url":"https://arxiv.org/abs/2604.12885v1","authors":["Aleksandr Talitckii","Matthew Peet"],"tags":["math.DS"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2026-04-14T15:35:24Z","addedAt":"2026-08-06T22:48:47.330Z"},{"id":"arxiv:1010.0448v1","name":"Stability of Spatially Distributed, Intersecting Aircraft Flows Under Sequential Conflict Resolution Schemes","source":"arxiv","abstract":"This paper discusses the effect of sequential conflict resolution maneuvers of an infinite aircraft flow through a finite control volume. Aircraft flow models are utilized to simulate traffic flows and determine stability. Pseudo-random flow geometry is considered to determine airspace stability in a more random airspace, where aircraft flows are spread over a given positive width. The use of this aircraft flow model generates a more realistic flow geometry. A set of upper bounds on the maximal aircraft deviation during conflict resolution is derived. Also with this flow geometry it is proven that these bounds are not symmetric, unlike the symmetric bounds derived in previous papers for simpler flow configurations. Stability is preserved under sequential conflict resolution algorithms for all flow geometries discussed in this paper.","url":"https://arxiv.org/abs/1010.0448v1","authors":["Troy Hand","Zhi-Hong Mao","Eric Feron"],"tags":["math.OC"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2010-10-03T22:36:07Z","addedAt":"2026-08-06T22:48:47.330Z"},{"id":"arxiv:1709.01110v1","name":"Distributed circular formation flight of fixed-wing aircraft with Paparazzi autopilot","source":"arxiv","abstract":"In this paper we introduce the usage of guidance vector fields for the coordination and formation flight of fixed-wing aircraft. In particular, we describe in detail the technological implementation of the formation flight control for a fully distributed execution of the algorithm by employing the open-source project Paparazzi. In this context, distributed means that each aircraft executes the algorithm on board, each aircraft only needs information about its neighbors, and the implementation is straightforwardly scalable to an arbitrary number of vehicles, i.e., the needed resources such as memory or computational power not necessarily scale with the number of total aircraft. The coordination is based on commanding the aircraft to track circumferences with different radii but sharing the same center. Consequently, the vehicles will travel different distances but with the same speeds in order to control their relative angles in the circumference, i.e., their orbital velocities. We show the effectiveness of the proposed design with actual formation flights during the drone parade in IMAV2017.","url":"https://arxiv.org/abs/1709.01110v1","authors":["Hector Garcia de Marina","Gautier Hattenberger"],"tags":["cs.RO"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2017-09-04T18:40:37Z","addedAt":"2026-08-06T22:48:47.330Z"},{"id":"arxiv:2411.06753v1","name":"Mode transition control of large-size tiltrotor aircraft","source":"arxiv","abstract":"Tiltrotors are an aircraft concept with the ability to rotate their rotors freely, achieving vertical take-off and fast forward flight. The combination of helicopter and fixed-wing flight into one aircraft provides versatility in mission selection, yet challenges persist in their construction and control. Tiltrotor aircraft can operate in three primary modes: helicopter, fixed-wing, and transition, with the transition mode facilitating the shift between helicopter and fixed-wing flight. However, control within this transition region is inherently challenging due to its non-linear nature, hence tiltrotors have been predominantly limited to military applications. Thus, this paper aims to explore transition mode control for a large-size tiltrotor aircraft, tailored to civil applications. A novel, large-sized, tiltrotor concept is presented, accompanied by a derived mathematical model describing the aircrafts behaviours. A PID control method has been used to control the height, pitch, and velocity variations within the transition mode with secondary control loop developed to control the tilt angle during transition. The derived model and control are then implemented within a MATLAB simulation, where the control method was iterated to improve performance. The results show a full transition was achieved in under 14 seconds, where altitude variations were kept below 10 metres. Though the transition mode control was successful, a collective look at the data showcases issues with assumptions as well as thrust discontinuities. The implications of these results are discussed, with suggested improvements proposed for future work.","url":"https://arxiv.org/abs/2411.06753v1","authors":["George Kirst","Xinhua Wang"],"tags":["eess.SY"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2024-11-11T07:10:58Z","addedAt":"2026-08-06T22:48:47.330Z"},{"id":"arxiv:2508.09144v1","name":"Efficient Real-Time Aircraft ETA Prediction via Feature Tokenization Transformer","source":"arxiv","abstract":"Estimated time of arrival (ETA) for airborne aircraft in real-time is crucial for arrival management in aviation, particularly for runway sequencing. Given the rapidly changing airspace context, the ETA prediction efficiency is as important as its accuracy in a real-time arrival aircraft management system. In this study, we utilize a feature tokenization-based Transformer model to efficiently predict aircraft ETA. Feature tokenization projects raw inputs to latent spaces, while the multi-head self-attention mechanism in the Transformer captures important aspects of the projections, alleviating the need for complex feature engineering. Moreover, the Transformer's parallel computation capability allows it to handle ETA requests at a high frequency, i.e., 1HZ, which is essential for a real-time arrival management system. The model inputs include raw data, such as aircraft latitude, longitude, ground speed, theta degree for the airport, day and hour from track data, the weather context, and aircraft wake turbulence category. With a data sampling rate of 1HZ, the ETA prediction is updated every second. We apply the proposed aircraft ETA prediction approach to Singapore Changi Airport (ICAO Code: WSSS) using one-month Automatic Dependent Surveillance-Broadcast (ADS-B) data from October 1 to October 31, 2022. In the experimental evaluation, the ETA modeling covers all aircraft within a range of 10NM to 300NM from WSSS. The results show that our proposed method method outperforms the commonly used boosting tree based model, improving accuracy by 7\\% compared to XGBoost, while requiring only 39\\% of its computing time. Experimental results also indicate that, with 40 aircraft in the airspace at a given timestamp, the ETA inference time is only 51.7 microseconds, making it promising for real-time arrival management systems.","url":"https://arxiv.org/abs/2508.09144v1","authors":["Liping Huang","Yicheng Zhang","Yifang Yin","Sheng Zhang","Yi Zhang"],"tags":["cs.LG","cs.AI"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2025-07-31T03:56:30Z","addedAt":"2026-08-06T22:48:47.330Z"},{"id":"doi:10.65391/r1916","name":"Safety and Certification Considerations of eVTOL Aircraft","source":"crossref","abstract":"There are significant challenges with the design and related certification of eVTOL (Electric Vertical Take-off and Landing) aircraft. Much of this is driven by the novel aspects and diversity of technical solutions of eVTOL, for example the significantly increased levels of system complexity due to the use of distributed and integrated propulsion and advanced flight control systems. It is perceived that the regulation is lagging behind the development of novel technologies and applications which are rapidly advancing to develop eVTOL. As such, it is clear that aircraft manufacturers and regulators need to work more closely, in effect going on ‘a journey’ together to ensure certification is achievable. In this paper, typical eVTOL aircraft operating scenarios and design architectures are presented as the certification background. These are then considered regarding risks related to eVTOL certification together with their complex technical solutions and subsequent operation. Safety challenges and considerations are discussed for the future certification of eVTOL","url":"https://doi.org/10.65391/r1916","authors":["Benita Lawrence","George Head"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-01-25T14:21:02Z","addedAt":"2026-08-06T22:48:47.330Z","doi":"10.65391/r1916","updatedAt":"2026-08-31T06:39:38.599Z"},{"id":"doi:10.4271/epr2022001","name":"Unsettled Issues Regarding the Use of eVTOL Aircraft during Natural\n Disasters","source":"crossref","abstract":"&lt;div class=\"section abstract\"&gt;&lt;div class=\"htmlview paragraph\"&gt;Recent advancements of electric vertical takeoff and landing (eVTOL) aircraft have generated significant interest within and beyond the traditional aviation industry, and many new and novel applications have been identified and are under development. One promising application is rapid response during natural disasters, which can complement current capabilities to help save lives and enhance post-disaster recoveries.&lt;/div&gt;&lt;div class=\"htmlview paragraph\"&gt;&lt;b&gt;The Use of eVTOL Aircraft During Natural Disasters&lt;/b&gt; presents issues that need to be addressed before eVTOL aircraft are integrated into natural disaster response operations:&lt;/div&gt;&lt;div class=\"htmlview paragraph\"&gt;&lt;ul class=\"list disc\"&gt;&lt;li class=\"list-item\"&gt;&lt;div class=\"htmlview paragraph\"&gt;eVTOL vehicle development&lt;/div&gt;&lt;/li&gt;&lt;li class=\"list-item\"&gt;&lt;div class=\"htmlview paragraph\"&gt;Detect-and-avoid capabilities in complex and challenging operating environments&lt;/div&gt;&lt;/li&gt;&lt;li class=\"list-item\"&gt;&lt;div class=\"htmlview paragraph\"&gt;Autonomous and remote operations&lt;/div&gt;&lt;/li&gt;&lt;li class=\"list-item\"&gt;&lt;div class=\"htmlview paragraph\"&gt;Charging system compatibility and availability&lt;/div&gt;&lt;/li&gt;&lt;li class=\"list-item\"&gt;&lt;div class=\"htmlview paragraph\"&gt;Operator and controller training&lt;/div&gt;&lt;/li&gt;&lt;li class=\"list-item\"&gt;&lt;div class=\"htmlview paragraph\"&gt;Dynamic air space management&lt;/div&gt;&lt;/li&gt;&lt;li class=\"list-item\"&gt;&lt;div class=\"htmlview paragraph\"&gt;Vehicle/fleet logistics and support&lt;/div&gt;&lt;/li&gt;&lt;li class=\"list-item\"&gt;&lt;div class=\"htmlview paragraph\"&gt;Acceptance from stakeholders and the public&lt;/div&gt;&lt;/li&gt;&lt;/ul&gt;&lt;/div&gt;&lt;div class=\"htmlview paragraph\"&gt;&lt;a href=\"https://www.sae.org/publications/edge-research-reports\" target=\"_blank\"&gt;Click here to access the full SAE EDGE&lt;/a&gt;&lt;sup&gt;TM&lt;/sup&gt;&lt;a href=\"https://www.sae.org/publications/edge-research-reports\" target=\"_blank\"&gt; Research Report portfolio.&lt;/a&gt;&lt;/div&gt;&lt;/div&gt;","url":"https://doi.org/10.4271/epr2022001","authors":["Johnny Doo"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2022-02-08T16:03:06Z","addedAt":"2026-08-06T22:48:47.330Z","doi":"10.4271/epr2022001","updatedAt":"2026-08-31T06:39:38.599Z"},{"id":"doi:10.21203/rs.3.rs-4099036/v1","name":"Preliminary Sizing of an eVTOL Lift-Cruise Aircraft","source":"europepmc","abstract":"Abstract This paper describes a methodology for the preliminary design of a lift-cruise aircraft with an electric propulsion system. This methodology has used the actual data of electric vertical take-off and landing to estimate the take-off weight. The central element in this methodology is a matching diagram, which obtains performance equations for fixed-wing and rotary-wing modes. Based on the matching diagram, two design areas are obtained. The first design area is for the fixed-wing mode, which can be selected as the optimal design point for achieving power loading and wing loading. The second design area is for the rotary-wing mode, which can be selected as the optimal design point for achieving power loading and disk loading. The initial design is done based on the design points and the obtained take-off weight. The end-step take-off weight is estimated based on the weight components, and the design process is repeated, which is a small error between the initial and final take-off weight. Finally, the aircraft’s optimal size and power are obtained. In the final section, this methodology has been used for the preliminary design of a lift-cruise aircraft with four passengers.","url":"https://doi.org/10.21203/rs.3.rs-4099036/v1","authors":["Mastooreh Heidary","Amirreza Kosari"],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2024","addedAt":"2026-08-06T22:48:47.331Z","doi":"10.21203/rs.3.rs-4099036/v1","updatedAt":"2026-08-31T06:39:38.599Z"},{"id":"doi:10.4271/epr2022025","name":"The Use of eVTOL Aircraft for Military Applications: Last-mile\n Transport and Logistics","source":"crossref","abstract":"&lt;div class=\"section abstract\"&gt;&lt;div class=\"htmlview paragraph\"&gt;Recent advancements in eVTOL aircraft have generated significant interest within and beyond the traditional aviation industry. One promising application is for last-mile (and middle-mile) military transport and logistics, which can complement current mission capabilities and enhance operational readiness. With the dynamic and varying global challenges facing military operations, eVTOL aircraft can offer timely, on-demand, and potentially cost-effective aerial mobility components to the overall solution.&lt;/div&gt;&lt;div class=\"htmlview paragraph\"&gt;&lt;b&gt;The Use of eVTOL Aircraft for Military Applications: Last-mile Transport and Logistics&lt;/b&gt; explores the challenges that need to be addressed before identified capabilities and benefits can be realized at scale: &lt;/div&gt;&lt;div class=\"htmlview paragraph\"&gt;&lt;ul class=\"list disc\"&gt;&lt;li class=\"list-item\"&gt;&lt;div class=\"htmlview paragraph\"&gt;Mission-specific eVTOL vehicle development&lt;/div&gt;&lt;/li&gt;&lt;li class=\"list-item\"&gt;&lt;div class=\"htmlview paragraph\"&gt;Detect-and-avoid (DAA)capabilities in complex and challenging operating environments&lt;/div&gt;&lt;/li&gt;&lt;li class=\"list-item\"&gt;&lt;div class=\"htmlview paragraph\"&gt;Autonomous and AI-enhanced mission capabilities&lt;/div&gt;&lt;/li&gt;&lt;li class=\"list-item\"&gt;&lt;div class=\"htmlview paragraph\"&gt;Charging system compatibility and availability for battery-electric vehicles&lt;/div&gt;&lt;/li&gt;&lt;li class=\"list-item\"&gt;&lt;div class=\"htmlview paragraph\"&gt;Simplified vehicle operations (SVO) training&lt;/div&gt;&lt;/li&gt;&lt;li class=\"list-item\"&gt;&lt;div class=\"htmlview paragraph\"&gt;Vehicle/fleet logistics and support&lt;/div&gt;&lt;/li&gt;&lt;li class=\"list-item\"&gt;&lt;div class=\"htmlview paragraph\"&gt;Secured supply chain management&lt;/div&gt;&lt;/li&gt;&lt;li class=\"list-item\"&gt;&lt;div class=\"htmlview paragraph\"&gt;Acceptance from stakeholder services, military leadership, field commanders, and operating and support team members&lt;/div&gt;&lt;/li&gt;&lt;/ul&gt;&lt;/div&gt;&lt;div class=\"htmlview paragraph\"&gt;&lt;a href=\"https://www.sae.org/publications/edge-research-reports\" target=\"_blank\"&gt;Click here to access the full SAE EDGE&lt;/a&gt;&lt;sup&gt;TM&lt;/sup&gt;&lt;a href=\"https://www.sae.org/publications/edge-research-reports\" target=\"_blank\"&gt; Research Report portfolio.&lt;/a&gt;&lt;/div&gt;&lt;/div&gt;","url":"https://doi.org/10.4271/epr2022025","authors":["Johnny Doo"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2022-11-15T08:52:10Z","addedAt":"2026-08-06T22:48:47.330Z","doi":"10.4271/epr2022025","updatedAt":"2026-08-31T06:39:38.599Z"},{"id":"doi:10.4050/sm_sym_2025-5424","name":"Progress in eVTOL Aircraft - Certification","source":"crossref","abstract":"Progress in eVTOL Aircraft - Certification","url":"https://doi.org/10.4050/sm_sym_2025-5424","authors":["Matthew Smith"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-07-21T17:01:11Z","addedAt":"2026-08-06T22:48:47.330Z","doi":"10.4050/sm_sym_2025-5424","updatedAt":"2026-08-31T06:39:38.599Z"},{"id":"doi:10.4271/epr2023020","name":"The Use of eVTOL Aircraft for First Responder, Police, and Medical Transport Applications","source":"crossref","abstract":"&lt;div class=\"section abstract\"&gt;&lt;div class=\"htmlview paragraph\"&gt;Advancements in electric vertical takeoff and landing (eVTOL) aircraft have generated significant interest within and beyond the traditional aviation industry. One particularly promising application involves on-demand, rapid-response use cases to broaden first responders, police, and medical transport mission capabilities. With the dynamic and varying public service operations, eVTOL aircraft can offer potentially cost-effective aerial mobility components to the overall solution, including significant lifesaving benefits.&lt;/div&gt;&lt;div class=\"htmlview paragraph\"&gt;&lt;b&gt;The Use of eVTOL Aircraft for First Responder, Police, and Medical Transport Applications&lt;/b&gt; discusses the challenges need to be addressed before identified capabilities and benefits can be realized at scale: &lt;ul class=\"list disc\"&gt;&lt;li class=\"list-item\"&gt;&lt;div class=\"htmlview paragraph\"&gt;Mission-specific eVTOL vehicle development &lt;/div&gt;&lt;/li&gt;&lt;li class=\"list-item\"&gt;&lt;div class=\"htmlview paragraph\"&gt;Operator- and patient-specific accommodations&lt;/div&gt;&lt;/li&gt;&lt;li class=\"list-item\"&gt;&lt;div class=\"htmlview paragraph\"&gt;Detect-and-avoid capabilities in complex and challenging operating environments&lt;/div&gt;&lt;/li&gt;&lt;li class=\"list-item\"&gt;&lt;div class=\"htmlview paragraph\"&gt;Autonomous and artificial intelligence-enhanced mission capabilities&lt;/div&gt;&lt;/li&gt;&lt;li class=\"list-item\"&gt;&lt;div class=\"htmlview paragraph\"&gt;Home-base charging systems for battery power platforms&lt;/div&gt;&lt;/li&gt;&lt;li class=\"list-item\"&gt;&lt;div class=\"htmlview paragraph\"&gt;Simplified operator and support training&lt;/div&gt;&lt;/li&gt;&lt;li class=\"list-item\"&gt;&lt;div class=\"htmlview paragraph\"&gt; Vehicle/fleet maintenance and support&lt;/div&gt;&lt;/li&gt;&lt;li class=\"list-item\"&gt;&lt;div class=\"htmlview paragraph\"&gt;Acceptance and participation from stakeholder services, local and state-level leadership, field operators, and support team members&lt;/div&gt;&lt;/li&gt;&lt;/ul&gt;&lt;/div&gt;&lt;div class=\"htmlview paragraph\"&gt;&lt;a href=\"https://www.sae.org/publications/edge-research-reports\" target=\"_blank\"&gt;Click here to access the full SAE EDGE&lt;/a&gt;&lt;sup&gt;TM&lt;/sup&gt;&lt;a href=\"https://www.sae.org/publications/edge-research-reports\" target=\"_blank\"&gt; Research Report portfolio.&lt;/a&gt;&lt;/div&gt;&lt;/div&gt;","url":"https://doi.org/10.4271/epr2023020","authors":["Johnny Doo"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-09-26T22:15:17Z","addedAt":"2026-08-06T22:48:47.330Z","doi":"10.4271/epr2023020","updatedAt":"2026-08-31T06:39:38.599Z"},{"id":"doi:10.2514/6.2022-3963","name":"Algorithmic Icing Detection for eVTOL/AAM Aircraft","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2022-3963","authors":["Robert M. McKillip"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2022-06-21T03:07:36Z","addedAt":"2026-08-06T22:48:47.330Z","doi":"10.2514/6.2022-3963","updatedAt":"2026-08-31T06:39:38.599Z"},{"id":"doi:10.5937/tehnika2403343b","name":"Application of the TOPSIS method for selecting an eVTOL aircraft","source":"crossref","abstract":"In this research, we employed the multi-attribute method TOPSIS to evaluate and compare the parameters of 53 Vectored Thrust eVTOL aircraft. The analysis encompassed three separate TOPSIS computations, each of them utilizing distinct approach to evaluate the weight coefficients of the comparison criteria (criteria preference determined by one subjective and two objective methods). The three computations yield the results as a measure of the relative closeness to the positive ideal solutions for all alternatives, allowing for the ranking of the alternatives from the closest to the farthest. The final ranking was determined from the average values of the computation results. The analysis revealed that, across all computations, only five eVTOL aircraft achieved scores exceeding 0.5, while in the final ranking, seven eVTOLs had average scores greater than 0.5. Conversely, all remaining eVTOLs achieved scores closer to the negative ideal solution (lower than 0.5), with as many as 18 of them failing to attain an average result greater than 0.2. The results of the analysis offer a comprehensive overview of the observed eVTOL projects, indicating which ones stand out based on the specified criteria.","url":"https://doi.org/10.5937/tehnika2403343b","authors":["Vojislav Bogdanović","Olja Čokorilo","Bojana Mirković"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-07-09T11:12:49Z","addedAt":"2026-08-06T22:48:47.330Z","doi":"10.5937/tehnika2403343b","updatedAt":"2026-08-31T06:39:38.599Z"},{"id":"doi:10.4050/sm_sym_2025-5425","name":"EVTOL Developments at Horizon Aircraft","source":"crossref","abstract":"EVTOL Developments at Horizon Aircraft","url":"https://doi.org/10.4050/sm_sym_2025-5425","authors":["John Wyzykowski"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-07-21T17:01:11Z","addedAt":"2026-08-06T22:48:47.330Z","doi":"10.4050/sm_sym_2025-5425","updatedAt":"2026-08-31T06:39:38.599Z"},{"id":"doi:10.1049/et.2022.0722","name":"Transport - Medical Aircraft. The Bigger Picture: Medical eVTOL aircraft","source":"openalex","abstract":"","url":"https://doi.org/10.1049/et.2022.0722","authors":[],"tags":["Aeronautics","Aerospace engineering","Environmental science","Computer science","Engineering"],"confidence":0.72,"sites":["low-altitude"],"publishedDate":"2022-08-01","addedAt":"2026-08-06T22:48:47.330Z","doi":"10.1049/et.2022.0722","updatedAt":"2026-08-31T14:45:35.251Z"},{"id":"doi:10.2139/ssrn.5420652","name":"System Dynamics Analysis of Development Risks in Emerging eVTOL Aircraft","source":"openalex","abstract":"","url":"https://doi.org/10.2139/ssrn.5420652","authors":["Yibing Wu","Shuguang Zhang","Xu Ni","Xuejun Li"],"tags":["Dynamics (music)","Risk analysis (engineering)","System dynamics","Aeronautics","Business"],"confidence":0.72,"sites":["low-altitude"],"publishedDate":"2025-01-01","addedAt":"2026-08-06T22:48:47.330Z","doi":"10.2139/ssrn.5420652","updatedAt":"2026-08-31T14:45:35.251Z"},{"id":"doi:10.2514/6.2023-4393","name":"Multi-fidelity Optimization of Ducted Fan for eVTOL Aircraft","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2023-4393","authors":["Yaolong Liu"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-06-08T11:36:49Z","addedAt":"2026-08-06T22:48:47.330Z","doi":"10.2514/6.2023-4393","updatedAt":"2026-08-31T06:39:38.599Z"},{"id":"doi:10.2514/6.2022-2409","name":"System Identification for eVTOL Aircraft Using Simulated Flight Data","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2022-2409","authors":["Benjamin M. Simmons"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2022-01-04T09:40:50Z","addedAt":"2026-08-06T22:48:47.330Z","doi":"10.2514/6.2022-2409","updatedAt":"2026-08-31T06:39:38.600Z"},{"id":"doi:10.2514/1.c035476","name":"Tilt-Wing eVTOL Takeoff Trajectory Optimization","source":"crossref","abstract":"","url":"https://doi.org/10.2514/1.c035476","authors":["Shamsheer S. Chauhan","Joaquim R. R. A. Martins"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2019-11-14T10:36:33Z","addedAt":"2026-08-06T22:48:47.330Z","doi":"10.2514/1.c035476","updatedAt":"2026-08-31T06:39:38.600Z"},{"id":"doi:10.2514/1.c036896","name":"System Identification Approach for eVTOL Aircraft Demonstrated Using Simulated Flight Data","source":"crossref","abstract":"This paper describes a system identification method for electric vertical takeoff and landing (eVTOL) aircraft. The approach merges fixed-wing and rotary-wing modeling techniques with new strategies to develop a modeling method for eVTOL vehicles using flight-test data. The eVTOL aircraft system identification approach is demonstrated through application to the NASA Langley Aerodrome No. 8 tandem tilt-wing, distributed electric propulsion aircraft using a high-fidelity flight dynamics simulation. Orthogonal phase-optimized multisine inputs are applied to each control surface and propulsor at numerous flight conditions throughout the flight envelope to collect informative flight data. An aero-propulsive model is identified at each flight condition using the equation-error method in the frequency domain. The local model parameters are then blended to create a global model across the nominal flight envelope. The identified models are shown to provide a good fit to modeling data with good prediction capability. The methodology is developed with a discussion of unique eVTOL vehicle aerodynamic characteristics and practical strategies intended to inform future flight-based system identification efforts for eVTOL aircraft.","url":"https://doi.org/10.2514/1.c036896","authors":["Benjamin M. Simmons"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-02-01T10:43:04Z","addedAt":"2026-08-06T22:48:47.330Z","doi":"10.2514/1.c036896","updatedAt":"2026-08-31T06:39:38.600Z"},{"id":"doi:10.2514/6.2021-1720","name":"A Strip Theory Approach to Dynamic Modeling of eVTOL Aircraft","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2021-1720","authors":["Jacob Cook"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2021-01-05T07:59:38Z","addedAt":"2026-08-06T22:48:47.330Z","doi":"10.2514/6.2021-1720","updatedAt":"2026-08-31T06:39:38.599Z"},{"id":"doi:10.1115/gt2024-125709","name":"Design and Simulation of eVTOL Aircraft Thermal Management System","source":"crossref","abstract":"Abstract This paper focused on designing a Thermal Management System (TMS) for a parallel hybrid electric XV-15 tiltrotor aircraft used in Urban Air Mobility applications. The TMS is integrated into the aircraft system to assess its impact at aircraft and mission levels. Both liquid cooling and air-cooling TMS, along with using Phase Change Materials (PCMs) for heat storage, were designed and assessed. Two liquid-cooling configurations, series and parallel, were evaluated, with the series configuration proving more effective in the considered test cases. The study compared hover and cruise conditions to determine optimal design point for the liquid-cooling TMS. Designing for hover resulted in about fourfold increase in the TMS penalty in fuel burn during cruise. Designing for cruise, on the other hand, proved infeasible to comply with the thermal management requirements during hover. Two approaches were explored to address this: Approach A involves adding PCMs as a heat storage system, and Approach B entailed redesigning the TMS with the heat load at off-design conditions for the inverter and motor. Both approaches resulted in a 24% and 46% increase in the TMS penalty in fuel burn compared to the design that solely considering cruise condition, respectively. The assessment of the designed aircraft systems, integrating the TMS for the considered test cases, revealed that the liquid-cooling TMS designed at cruise condition with Approach B emerged as the optimal design, showcasing a 42% improvement in fuel burnt per payload compared to the air-cooling TMS at the mission level.","url":"https://doi.org/10.1115/gt2024-125709","authors":["Sangkeun Kang","Chana Saias","Ioannis Roumeliotis","Olivier Broca"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-08-28T19:45:26Z","addedAt":"2026-08-06T22:48:47.330Z","doi":"10.1115/gt2024-125709","updatedAt":"2026-08-31T06:39:38.600Z"},{"id":"doi:10.2514/6.2025-0657","name":"Analytical Flight Dynamic Model Development for eVTOL Aircraft","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2025-0657","authors":["Nhan T. Nguyen","Benjamin Webb"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-02-12T09:44:16Z","addedAt":"2026-08-06T22:48:47.330Z","doi":"10.2514/6.2025-0657","updatedAt":"2026-08-31T06:39:38.600Z"},{"id":"doi:10.3390/drones9080577","name":"Noise Prediction and Mitigation for UAS and eVTOL Aircraft: A Survey","source":"crossref","abstract":"The integration of small unmanned aircraft systems (sUASs) and electric vertical takeoff and landing (eVTOL) aircraft into urban airspace presents a new challenge in managing environmental noise, which is a critical factor for the public acceptance of urban air mobility (UAM). This survey investigates the noise characteristics of UAS and eVTOL platforms, particularly multi-rotor and distributed propulsion configurations, and examines whether the operational benefits of these vehicles outweigh their acoustic footprint in dense urban environments. While eVTOLs are often perceived as quieter than conventional helicopters due to the absence of combustion engines and mechanically simpler drivetrains, their dominant noise sources are aerodynamic in nature. These include blade vortex interactions, rotor loading noise, and broadband noise, which persist regardless of whether propulsion is electric or combustion-based. Recent studies suggest that community perception of drone noise is influenced more by tonal content, frequency, and modulation patterns than by absolute sound pressure levels. This paper presents a comprehensive review of state-of-the-art noise prediction tools, empirical measurement techniques, and mitigation strategies for sUAS operating in UAM scenarios. The discussion provided in this paper assists in vehicle design, certification standards, airspace planning, and regulatory frameworks focused on minimizing noise impact in urban settings.","url":"https://doi.org/10.3390/drones9080577","authors":["Waleed Raza","Richard S. Stansbury"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-08-14T15:44:21Z","addedAt":"2026-08-06T22:48:47.330Z","doi":"10.3390/drones9080577","updatedAt":"2026-08-31T06:39:38.600Z"},{"id":"doi:10.1115/gt2024-123904","name":"Design and Analysis of a Liftfan for eVTOL Aircraft","source":"crossref","abstract":"Abstract Ducted liftfans can provide greater hovering efficiency to eVTOL aircraft than open propellers of an equal disk area. The goal of liftfan design is to minimise length in order to limit the weight added by propulsors and the drag incurred during forward flight. The increased complexity of liftfans over open propellers poses three challenges which are addressed in this paper. First, instead of a single row propeller, the liftfan consists of a complete stage which must be designed as a whole. The preliminary and 3D design variables of the rotor row and splittered-diffuser stator row are optimised together using 3D CFD to maximise the hovering figure of merit, a non-dimensional measure of power consumption. The resulting prototype liftfan design is validated through experimental testing. Second, unlike an open propeller, a liftfan rotor is enclosed within a complete nacelle. To be viable, it must perform effectively during edge-on forward flight, as well as in pure hover. A low-order model is developed to investigate the maximum range for different fan designs with varying diffuser area ratios and forward flight tilt angles. Design selections are validated using full annulus 3D CFD and experimental wind tunnel tests. Third, as the electric motor of a liftfan is mounted within the hub, fan-driven active cooling is necessary to prevent overheating. The stagnation pressure losses incurred by cooling airflow must be minimised without impeding heat transfer. Low-order models are developed to predict motor heat transfer and loss and to guide the design of a mixed-flow cooling fan. The addition of forward sweep and adoption of a high blade count are found to reduce cooling fan loss, confirmed through 3D CFD simulations and experimental testing.","url":"https://doi.org/10.1115/gt2024-123904","authors":["Rory D. Hine","Dominic R. Cousins","Leo Maden","Samuel J. Walker","Nicholas R. Atkins","Samuel D. Grimshaw","James V. Taylor"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-08-28T19:31:05Z","addedAt":"2026-08-06T22:48:47.330Z","doi":"10.1115/gt2024-123904","updatedAt":"2026-08-31T06:39:38.600Z"},{"id":"doi:10.2514/6.2026-2655","name":"Aeroservoelastic Flight Dynamic Modeling of Multi-Rotor eVTOL Aircraft","source":"openalex","abstract":"This paper presents an analytical formulation of aeroservoelastic-flight dynamic modeling of multi-rotor eVTOL aircraft in hover and transition flight. The method captures the analytical stability and control sensitivities of rotor unsteady aerodynamic loads about a trim solution due to the flexible airframe. The rotor aerodynamic forces include circulatory and non-circulatory components to account for unsteady aerodynamics. The circulatory forces are corrected for unsteady aerodynamics using the time-domain approximation of Theodorsen's function. The integrated aeroservoelastic flight dynamic model includes the rigid-body aircraft flight dynamics, the structural dynamics of the flexible airframe, inflow dynamics, unsteady aerodynamics, blade pitch dynamics, and rotor dynamics. Stability analysis shows that the aeroelastic Lift+Cruise aircraft is statically unstable in roll and yaw axes and also dynamically unstable in hover.","url":"https://doi.org/10.2514/6.2026-2655","authors":["Nhan T. Nguyen","Juntao Xiong"],"tags":["Aeroelasticity","Aerodynamics","Flight control surfaces","Flight dynamics","Rotor (electric)"],"confidence":0.72,"sites":["low-altitude"],"publishedDate":"2026-01-08","addedAt":"2026-08-06T22:48:47.330Z","doi":"10.2514/6.2026-2655","updatedAt":"2026-08-31T14:45:35.251Z"},{"id":"doi:10.2139/ssrn.4864679","name":"Application of Improved Appointed Time Control in Helicopter Mode of a Tilt-Rotor Evtol Aircraft","source":"openalex","abstract":"","url":"https://doi.org/10.2139/ssrn.4864679","authors":["Danyu Li","Liang Zhang","Chongsen Mo","Naigang Cui"],"tags":["Tilt (camera)","Rotor (electric)","Aeronautics","Mode (computer interface)","Aerospace engineering"],"confidence":0.72,"sites":["low-altitude"],"publishedDate":"2024-01-01","addedAt":"2026-08-06T22:48:47.330Z","doi":"10.2139/ssrn.4864679","updatedAt":"2026-08-31T14:45:35.251Z"},{"id":"doi:10.2514/1.c037862","name":"Tiltwing eVTOL Transition Trajectory Optimization","source":"crossref","abstract":"This paper studies transition trajectory optimization for a tiltwing electrical vertical takeoff and landing (eVTOL) aircraft configuration and evaluates the benefits of equipping it with fluid injection active flow control (AFC). Using a three-degree-of-freedom model of the aircraft’s longitudinal dynamics, both hover-to-cruise (forward) and cruise-to-hover (backward) transition are investigated for a range of center-of-gravity (CG) positions to determine minimum-energy trajectories that achieve zero altitude variation while avoiding wing aerodynamic stall. It is demonstrated that constant-altitude transition can be achieved in the forward direction (with or without AFC), whereas the use of AFC in backward transition reduces the total altitude change by 24%. A comparative constant-altitude backward transition solution using a different airfoil with a higher stall limit suggests that a redesign of the tail wing of this unique tiltwing aircraft could better leverage the benefits of using AFC in this application. Additionally, it is also shown that, in the case of forward transition, AFC can be used to decrease the total transition time and increase the range of CG positions where constant-altitude transition can occur.","url":"https://doi.org/10.2514/1.c037862","authors":["Leo Panish","Marko Bacic"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-11-04T09:14:43Z","addedAt":"2026-08-06T22:48:47.330Z","doi":"10.2514/1.c037862","updatedAt":"2026-08-31T06:39:38.600Z"},{"id":"doi:10.2514/1.c038445","name":"Mission-Focused Multidisciplinary Design Optimization of Tilt-Rotor eVTOL Propulsion System","source":"crossref","abstract":"Tilt-rotor propulsion system design requires a multidisciplinary approach to tackle important challenges and competing tradeoffs between disciplines. This paper models rotor aerodynamics, blade structures, vehicle drag, electric propulsion, and tonal/broadband acoustics for a tilt-rotor, electric vertical takeoff and landing aircraft using low-to-mid fidelity tools. The authors use gradient-based design optimization with automatic differentiation and parameter sensitivity analyses to explore the design space and complex tradeoffs of tilt-rotor distributed electric propulsion systems, exploring effects of variations in payload/empty weight, battery specific energy, and blade tip speed. This framework models multiple operating points with a mission-focused objective to account for the effects of both hover and cruise conditions on the overall system performance. Additionally, we develop a Pareto front between range and noise and observe that, for the same noise output, modeling tonal and broadband noise increases range by 3.1% when compared to using a Mach tip speed surrogate acoustics model.","url":"https://doi.org/10.2514/1.c038445","authors":["Tyler Critchfield","Andrew Ning"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-01-02T06:56:03Z","addedAt":"2026-08-06T22:48:47.330Z","doi":"10.2514/1.c038445","updatedAt":"2026-08-31T06:39:38.599Z"},{"id":"doi:10.2514/6.2022-3817","name":"Efficient Variable-Pitch Propeller Aerodynamic Model Development for Vectored-Thrust eVTOL Aircraft","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2022-3817","authors":["Benjamin M. Simmons"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2022-06-21T03:07:36Z","addedAt":"2026-08-06T22:48:47.330Z","doi":"10.2514/6.2022-3817","updatedAt":"2026-08-31T06:39:38.600Z"},{"id":"doi:10.2514/6.2022-1030","name":"Preliminary performance assessment of a long-range eVTOL aircraft","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2022-1030","authors":["Egon E. Beyne","Saullo G. Castro"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2022-01-04T01:25:25Z","addedAt":"2026-08-06T22:48:47.330Z","doi":"10.2514/6.2022-1030","updatedAt":"2026-08-31T06:39:38.600Z"},{"id":"doi:10.4050/sm_sym_2025-5420","name":"FRASCA International Training Requirements EVTOL","source":"crossref","abstract":"FRASCA International Training Requirements EVTOL","url":"https://doi.org/10.4050/sm_sym_2025-5420","authors":["Randy Gawenda"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-07-21T17:01:11Z","addedAt":"2026-08-06T22:48:47.330Z","doi":"10.4050/sm_sym_2025-5420","updatedAt":"2026-08-31T06:39:38.600Z"},{"id":"doi:10.2139/ssrn.6662520","name":"A MATLAB-MBSE Integrated Sizing Framework for Preliminary Weight, Power, and Energy Estimation of eVTOL Aircraft","source":"crossref","abstract":"Battery sizing for eVTOL aircraft is governed by two independent physical constraints that a single equation cannot satisfy simultaneously: the energy needed to complete the mission and the peak power required to sustain hover. An energy-only approach selects a battery that stores enough energy but may be physically incapable of delivering the current demanded at takeoff. This paper presents a dual-constraint sizing framework in which battery mass is determined by W_battery = max(W_E, W_P), where W_E is the energy-limited mass and W_P = P_hover/σ_bat is the power-limited mass derived from the pack-level specific power σ_bat [kW/kg]. A two-round fixed-point algorithm converges simultaneously on Maximum Takeoff Weight (MTOW), battery mass, and total mission energy, with the state-of-charge (SOC) floor enforced through the capacity relation C_total = E_mission/(1 - SOC_min). The framework is embedded within a Model-Based Systems Engineering (MBSE) environment implemented in SysML/Cameo, enabling automated pass/fail verification of FAA 14 CFR Part 23 airworthiness constraints throughout the iteration loop rather than as a post-processing check. Applied to a novel hybrid Lift-Plus-Cruise/Tilt-Rotor (LPC/TR) configuration on a 250 km regional mission, the dual-constraint formulation shows that an energy-only approach underestimates MTOW by 72.4% and battery mass by 160.9% relative to the corrected solution. A specific-power crossover at σ_cross = 0.80 kW/kg marks the boundary between energy- and power-limited design regimes. The converged design (W0 = 2969.45 kg) is validated against three industry configurations within 1.5% deviation, and the MBSE integration is compared against the EU AGILE 4.0 and AFRL REACT programs.","url":"https://doi.org/10.2139/ssrn.6662520","authors":["Vinay  Kumar Reddy Sirigireddy","Darryl  K. Ahner"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-04-27T21:37:12Z","addedAt":"2026-08-06T22:48:47.330Z","doi":"10.2139/ssrn.6662520","updatedAt":"2026-08-31T06:39:38.599Z"},{"id":"doi:10.17485/ijst/v18i2.1804","name":"Enhanced Prognostics for Lithium-Ion Batteries in eVTOL Aircraft Using CatBoost and LightGBM Algorithms","source":"crossref","abstract":"Objectives: The goals of this study are as follows: The comprehension of advanced and efficient E-VTOL techniques is required to control batteries better as well as to increase their performance, safety, and lifespan. The data-driven machine learning models using CatBoost and LightGBM are developed to predict the battery charge, health, and RUL based on flight conditions. This paper aims to assess the impacts that charging/discharging rates as well as temperature have on batteries and determine characteristics that influence discharging. Methods: In the framework that has been proposed, the models used for the analysis and prediction of battery charge, health, and RUL include CatBoost and LightGBM. These algorithms define charging and discharging profiles and the effects of temperature on the battery. Different comparative studies on machine learning algorithms are performed to find an optimal solution for battery prediction on E-VTOL vehicles. It is analyzed in real-time using flight profiles to predict the takeoff, landing, and cruising phases of the flight. Findings: The suggested framework effectively estimates the battery charge, health, and RUL, outcompeting all previous algorithms. CatBoost is known for its ability to handle categorical data and its efficient training process, making it suitable for real-time applications. LightGBM is recognized for its speed and efficiency, particularly in handling large datasets, and its robustness in making accurate predictions. Novelty: Drawing from these methods, this has proposed a new battery control in E-VTOL vehicles using a machine learning framework that incorporates handling categorical features, robustness to overfitting, automatic feature scaling, built-in cross-validation, and robustness to noisy data. Keywords: CatBoost, Electric Vertical Take Off and Landing, Gradient Boosting Algorithm, LightGBM, RUL, SOC, Battery Lifespan, Battery Management, SOH","url":"https://doi.org/10.17485/ijst/v18i2.1804","authors":["Srinivas Mallimoggala","K Rama Devi"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-02-06T06:02:38Z","addedAt":"2026-08-06T22:48:47.330Z","doi":"10.17485/ijst/v18i2.1804","updatedAt":"2026-08-31T06:39:38.600Z"},{"id":"doi:10.1115/gt2023-103097","name":"On the Design of Integrated Thermal Management Systems for eVTOL Aircraft","source":"crossref","abstract":"Abstract Vertical take-off and landing aircraft equipped with hybrid or fully electric propulsion systems have gained interest for urban air mobility applications. Besides the low energy density of state of art electric systems, their strict operating temperature requirement and low-grade heat highlight the importance of effective thermal management system design. This paper aims to establish a design process for the thermal management system for a parallel hybrid electric tiltrotor and showcase it for a system consisting of direct ram-air cooling cold plate and phase change materials. The cold plate is designed for cruise conditions and used as heat acquisition and cooling system, whereas the phase change materials is used as a heat storage system when ram air is limited. Three sizing conditions are considered comprising the baseline design mission, a certification condition for One Engine Inoperative (OEI) and an off-design mission. The effects of thermal management system integration on overall performance are quantified and discussed. The results indicate that designing the system for the baseline sizing mission results in a 5% increase in fuel burn per payload relative to the equivalent counterpart without thermal management consideration. This penalty increases to 14% when certification requirements are accounted. It is highlighted that tor shorter mission thermal management is the limiting factor for battery utilization, hence the expected benefits are significantly reduced. As electric components technology increases thermal management becomes less sensitive to the sizing conditions.","url":"https://doi.org/10.1115/gt2023-103097","authors":["Sangkeun Kang","Chana Saias","Ioannis Roumeliotis","Olivier Broca"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-09-28T19:43:27Z","addedAt":"2026-08-06T22:48:47.330Z","doi":"10.1115/gt2023-103097","updatedAt":"2026-08-31T06:39:38.600Z"},{"id":"doi:10.3390/aerospace12020145","name":"Autonomous Parafoil Flaring Control System for eVTOL Aircraft","source":"crossref","abstract":"Reducing landing kinetic energy during emergency landings is critical for minimising occupant injury in eVTOL aircraft. This study presents the development of an autonomous parafoil control system for impact point targeting and flare control. A model predictive controller for a six-degree-of-freedom parafoil and eVTOL payload model was designed incorporating an inner-loop flare controller for descent speed-based flare height adjustments and an outer-loop nonlinear model predictive control (MPC) to minimize line-of-sight error. Two guidance methods were explored: a standard fixed impact point approach and an adaptive method that adjusts the target point dynamically to account for horizontal travel during flaring. The standard method outperformed the uncontrolled system in 79.64% of cases, while the adaptive method achieved success in 40.73% of scenarios, with both methods maintaining vertical landing velocities below 8 m/s in all tested cases. Controller performance degraded under higher wind speeds and large control derivative variations, with the adaptive method position error attributed to flare distance estimation inaccuracies.","url":"https://doi.org/10.3390/aerospace12020145","authors":["Stephen Doran","Toufik Souanef","James F. Whidborne"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-02-14T11:14:41Z","addedAt":"2026-08-06T22:48:47.330Z","doi":"10.3390/aerospace12020145","updatedAt":"2026-08-31T06:39:38.600Z"},{"id":"doi:10.4050/sm-2026-vlada-5211","name":"Rotor Failure Analysis on Winged-eVTOL Aircraft in Hover","source":"crossref","abstract":"Winged electric vertical takeoff and landing (eVTOL) aircraft commonly employ multiple lift rotors mounted on underwing booms to enable efficient cruise while retaining vertical flight capabilities, making resilience to rotor failure a critical consideration in design and certification. While prior studies have primarily assessed fault tolerance through control feasibility and allocation strategies, the physical consequences of rotor failure on individual motor loading and overall aircraft power requirements remain relatively unexplored. This paper investigates the effects of single-rotor failure on an eVTOL aircraft with eight rotors on four underwing booms in hover using a physics-based comprehensive rotorcraft model. Three rotor spin configurations are examined, including the baseline NASA Lift plus Cruise arrangement and two alternate configurations inspired by emerging industry designs. Post-failure trim solutions are obtained using both power-optimal and intuitive paired-rotor shutdown strategies. Results quantify changes in rotor thrust, torque, and power, revealing that rotor spin configuration strongly influences load redistribution and peak motor demands despite similar increases in total aircraft power. These findings highlight the importance of incorporating physical motor loading considerations alongside control feasibility in fault-tolerant eVTOL design.","url":"https://doi.org/10.4050/sm-2026-vlada-5211","authors":["Eve Fulton","Dakoda Lemelin","Farhan Gandhi"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-05-29T15:17:21Z","addedAt":"2026-08-06T22:48:47.330Z","doi":"10.4050/sm-2026-vlada-5211","updatedAt":"2026-08-31T06:39:38.599Z"},{"id":"doi:10.4050/jahs.71.042008","name":"Accident Survey of Fly-by-Wire Powered-Lift Aircraft toward Understanding Variable Configuration eVTOL Aircraft Certification Risks","source":"crossref","abstract":"This paper outlines observations from an FAA-sponsored research project that examined aviation fly-by-wire (FBW) accidents in helicopters, transport-category airplanes, and powered-lift aircraft. The goal was to identify risk areas that will help guide a focus for FAA certification testing. Part of this study specifically focused on current powered-lift tiltrotors, identifying six general categories of causal factors for accidents, which will be discussed in detail regarding how they influenced flight control designs. The results of this survey, along with extrapolation to current designs, will be discussed and will illustrate why manufacturers are moving toward state-based flight control designs. In a state-based flight control scheme, the pilot does not have direct control over aircraft attitudes and motor tilt angles. Instead, the pilot requests a speed and or flight path with inceptor input, and the commanded attitudes and motor tilts are scheduled by the flight control computer. Additionally, recent lessons learned from electric vertical takeoff and landing aircraft accidents will be discussed, along with a comparison of powered-lift causal factors to accidents in the helicopters and transport category FBW fixed-wing aircraft. From this analysis, broad observations will be offered about the trend of how accident-causal factors may evolve with greater maturity in aircraft design. This accident survey will be detailed further as part of an upcoming FAA research report titled “An Approach to FBW HQ Testing Linking Development Tools to Civil Cert Requirements.”","url":"https://doi.org/10.4050/jahs.71.042008","authors":["Martin Shubert","David Sizoo","Michael Jones"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-07-31T01:05:33Z","addedAt":"2026-08-06T22:48:47.330Z","doi":"10.4050/jahs.71.042008","updatedAt":"2026-08-31T06:39:38.599Z"},{"id":"doi:10.2514/1.c038339","name":"Aeropropulsive Damping Characterization for eVTOL Aircraft Using Free-Motion Wind-Tunnel Testing","source":"openalex","abstract":"This paper describes an electric vertical takeoff and landing (eVTOL) aircraft system identification method applied using three-degree-of-freedom (3DOF) free-motion wind-tunnel testing. The approach, similar to flight-test system identification, allows for efficient mathematical model development of the aeropropulsive moments applied on an eVTOL vehicle, including aerodynamic damping effects. The approach is demonstrated using a subscale tiltrotor eVTOL aircraft mounted on a new 3DOF wind-tunnel apparatus. To execute the test, a model-based 3DOF control system is designed to track attitude commands and transition the aircraft based on the freestream dynamic pressure. While the flight controller is active, orthogonal phase-optimized multisine inputs are injected into the attitude command and control effector command signals to enable collection of informative data for model identification. Aeropropulsive models are then identified at several reference conditions in the transition flight envelope using the equation-error method in the frequency domain. The identified models are shown to have a good fit to the modeling data and good prediction capability of data not used for model identification. The method yields aerodynamic damping estimates using less wind-tunnel test time compared to traditional forced oscillation experiments and supplements static wind-tunnel testing to produce a comprehensive transition aeropropulsive model suitable for use in flight dynamics simulations.","url":"https://doi.org/10.2514/1.c038339","authors":["Benjamin M. Simmons","Kasey A. Ackerman","Garrett D. Asper"],"tags":["Flight envelope","Aerodynamics","Control theory (sociology)","Takeoff and landing","Flight dynamics"],"confidence":0.72,"sites":["low-altitude"],"publishedDate":"2025-10-15","addedAt":"2026-08-06T22:48:47.330Z","doi":"10.2514/1.c038339","updatedAt":"2026-08-31T14:45:35.251Z"},{"id":"doi:10.55057/ijbtm.2023.5.4.25","name":"Factors Influencing Public Intention To Use eVTOL Aircraft: An Analysis From Malaysian Perspective","source":"openalex","abstract":"As an emerging technology with potential benefits in urban transportation, understanding the determinants of public acceptance is crucial for successful implementation. This research aims to identify the predictors that influence the public’s intention to use eVTOL aircraft using the extended model of the Technology Acceptance Model (TAM). This research was conducted among Malaysians above 15 years old to identify the factors influencing the intention to use eVTOL aircraft in Malaysia using convenience and snowball sampling techniques materialised by respondents. The total number of responses collected was 118 using the questionnaire adopted from the theory. Once the data was collected, it was analysed through SPSS software to identify the relationship and significance using inferential analysis. This research found that subjective norms and travel costs do not influence the intention to use eVTOL aircraft. Although the two predictors are insignificant, perceived safety and hedonic experience significantly impact the intention to use eVTOL aircraft. This study proposed a few benefits for operators and manufacturers to improve customer confidence in using eVTOL aircraft in Malaysia.","url":"https://doi.org/10.55057/ijbtm.2023.5.4.25","authors":["Lau Kar Wei","Norsyela Muhammad Noor Mathivanan"],"tags":["Snowball sampling","Perspective (graphical)","Technology acceptance model","Psychology","Marketing"],"confidence":0.72,"sites":["low-altitude"],"publishedDate":"2023-12-31","addedAt":"2026-08-06T22:48:47.330Z","doi":"10.55057/ijbtm.2023.5.4.25","updatedAt":"2026-08-31T14:45:35.251Z"},{"id":"doi:10.4050/sm-2026-vlada-5194","name":"Design of a Manned eVTOL Aircraft using Cycloidal Rotors","source":"crossref","abstract":"This paper discusses the design of a 2000-lb manned eVTOL aircraft propelled by a novel cycloidal rotor propulsion system. To systematically evaluate the performance of the proposed configuration, a coupled trim model was developed to quantitatively evaluate the performance of the configuration across a range of forward flight speeds. The trim framework integrates an efficient physics-guided neural-network-based aerodynamic model for cycloidal rotor performance with a vehicle-level dynamic response model. This framework is used to conduct a systematic parametric study to identify key cycloidal rotor and airframe design parameters. The selected configuration is verified using high-fidelity CFD simulations, and a detailed structural design, powertrain design, and CAD model of the aircraft is developed. In addition to CFD validation, the proposed cycloidal rotor underwent structural optimization to confirm the validity of such a concept at this scale. The results demonstrate that the cycloidal rotors provide a viable propulsion alternative for eVTOL aircraft with strong potential to overcome limitations of existing configurations.","url":"https://doi.org/10.4050/sm-2026-vlada-5194","authors":["Nabia Fardin","Atanu Halder","Cayden Brown","Moble Benedict"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-05-29T15:17:21Z","addedAt":"2026-08-06T22:48:47.330Z","doi":"10.4050/sm-2026-vlada-5194","updatedAt":"2026-08-31T06:39:38.599Z"},{"id":"doi:10.20944/preprints202508.1619.v1","name":"Electromagnetic Response and Cable Coupling of eVTOL Aircraft under Lightning Conditions: A Simulation Study","source":"europepmc","abstract":"This study employs CST simulations to analyze the electromagnetic response and cable coupling characteristics of electric vertical takeoff and landing (eVTOL) aircraft under lightning conditions. Based on the SAE ARP5414B standard, lightning zoning was carried out, and three typical strike scenarios—the nose, wing, and vertical tail—were established. Referring to representative lightning current waveforms in SAE ARP5412B, Component A was selected as the primary excitation source. On this basis, the L9(3³) orthogonal design method was applied to evaluate the influence of cable structure, length, and routing method on induced current. The results show that lightning strikes at the nose have the strongest coupling effect on the airframe, with both electric and magnetic fields exhibiting significant spatial distribution. Shielded cables effectively reduce induced current in the conductor core by diverting most of the coupled current through the shielding layer, while unshielded single-core cables demonstrate the weakest resistance to interference. Induced current increases with cable length, and Z-shaped wall-mounted routing produces stronger coupling than straight or suspended routing. This research provides a systematic approach for evaluating indirect lightning effects in eVTOL and offers engineering guidance for electromagnetic protection and cable design.","url":"https://doi.org/10.20944/preprints202508.1619.v1","authors":["Hangyu Chen","Xin Li","Chao Zhou","Yifang Tan","Yizhi Shen","Y. R. Shen"],"tags":["Lightning (connector)","Coupling (piping)","Aerospace engineering","Physics","Electrical engineering"],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","addedAt":"2026-08-06T22:48:47.331Z","doi":"10.20944/preprints202508.1619.v1","updatedAt":"2026-08-31T14:45:35.251Z"},{"id":"doi:10.26434/chemrxiv.15006718/v1","name":"Structural Mechanics, Aeroacoustics and Aerodynamics of eVTOL Aircraft: Review of Green Aviation Challenges and Design Solutions for Urban Air Mobility","source":"crossref","abstract":"Advanced air mobility (AAM) is a transformative transportation paradigm that employs electric Vertical Take-Off and Landing (eVTOL) vehicles for efficient and rapid transit. However, the unconventional configurations and operating conditions of eVTOL aircraft pose significant structural and aviation challenges. This demands a comprehensive investigation of critical components of eVTOL across interdisciplinary domains of aeromechanics (aeroelasticity and aerodynamics), solid mechanics (fatigue, fracture and crash) and aeroacoustics to ensure safe and reliable function. This paper reviews the design and analysis of propulsion architectures of various classes of urban air mobility (UAM) aircraft during hover, transition and forward flight. Furthermore, recent advances in vibration and noise mitigation techniques, collision risk modeling, structural health monitoring, crashworthiness and flight performance are examined. The review highlights the need for a unified design approach to enhance structural integrity, aerodynamic efficiency, acoustic performance and airworthiness thereby supporting safe and sustainable deployment of future UAM aircraft.","url":"https://doi.org/10.26434/chemrxiv.15006718/v1","authors":["Sanketh Tonannavar","Ashish Garg"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-07-29T13:04:10Z","addedAt":"2026-08-06T22:48:47.330Z","doi":"10.26434/chemrxiv.15006718/v1","updatedAt":"2026-08-31T06:39:56.012Z"},{"id":"doi:10.2514/6.2023-2612","name":"Aerodynamic Design of Propellers for an EVTOL Aircraft","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2023-2612","authors":["Carlotta Manca","Prasanth K. Murari","Kavipiriyan Shanmuganathan","Sachin Ramesh"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-01-21T06:59:16Z","addedAt":"2026-08-06T22:48:47.330Z","doi":"10.2514/6.2023-2612","updatedAt":"2026-08-31T06:39:38.600Z"},{"id":"doi:10.5762/kais.2023.24.12.452","name":"A Study on the Application of the eVTOL Aircraft Airworthiness Certification System","source":"openalex","abstract":"최근들어 4차 산업혁명 시대에 접어들면서 과학기술의 비약적 발전과 함께 도심항공교통(Urban Air Mobility, UAM)에 대한 관심이 집중되고 있다. UAM은 민수용뿐만 아니라 군사용으로도 그 용도를 인정받아 관심이 높아지고 있다. 이러한 UAM은 일반적으로 전기를 동력원으로 하는 수직이착륙기인 eVTOL(Multi-rotor electric Vertical Take Off and Landing)을 중심으로 발전해 나가고 있다. 그리고 각 국가와 기업들은 eVTOL 산업과 기술 및 표준을 선도하기 위하여 많은 연구를 진행하고 있다. 항공기인 eVTOL이 도시 내에서 이동수단으로써 원활한 운영을 보장받기 위해서는 항공기의 안전이 충분히 보장되어야 한다. 항공기의 안전은 감항인증(증명)이라는 법적 테두리 속에서 보장받을 수 있으나, 현재 eVTOL과 같은 신개념 항공기에 대한 감항인증은 명확한 기준이 없는 것이 사실이다. 하지만, 2019년 유럽항공안전청(European Aviation Safety Agency, EASA)에서 미연방항공청(Federal Aviation Administration, FAA)보다 앞서 VTOL에 대한 인증기준인 SC-VTOL(Special Condition for VTOL)을 발표하였다. 본 연구에서는 EASA의 SC-VTOL을 분석하여 그 특징을 정의하고, 이를 근거로 우리나라에서 적용 가능한 수준의 eVTOL 감항인증의 방향성을 제시하였다. 본 연구가 향후 eVTOL의 연구개발에 있어 eVTOL 감항인증의 시발점이 될 수 있을 것이라 기대한다.","url":"https://doi.org/10.5762/kais.2023.24.12.452","authors":["Kang-Hee Lim","Seong-Hun Kim","Seung-Ju Shin","Kyung-Hwan Kang","Seong‐Hun Kim"],"tags":["Airworthiness","Aeronautics","Aviation safety","Certification","Aviation"],"confidence":0.72,"sites":["low-altitude"],"publishedDate":"2023-12-31","addedAt":"2026-08-06T22:48:47.330Z","doi":"10.5762/kais.2023.24.12.452","updatedAt":"2026-08-31T14:45:35.251Z"},{"id":"doi:10.4050/f-0077-2021-16737","name":"Military Mission Suitability Assessment of eVTOL Aircraft Configurations","source":"openalex","abstract":"The U.S. Army Concept Design and Assessment (CD&amp;A) Technology Area has been following leading companies' eVTOL development. Based on the Tech Area's extensive aircraft design and analysis experience questions arose regarding current eVTOLs designs meeting potential military performance and attributes requirements. Similar concerns were seen for Urban Air Mobility (UAM) applications. This document summarizes performance and attribute analyses of leading UAM configurations and compares to helicopters as an alternative configuration. The overall conclusion is that multirotor configurations' speed and range are inherently inadequate for military applications. High Speed eVTOL (HS-eVTOL) configurations (i.e. winged VTOLs) are point designs for high speed, medium range, and very short hover duration missions. They are also inadequate for an important spectrum of military missions. The work concludes the Department of Defense (DoD) needs to invest in more traditional low disk loading eVTOL configurations if it is to gain the most operational benefit from electric propulsion VTOL aircraft.","url":"https://doi.org/10.4050/f-0077-2021-16737","authors":["Mark Scott"],"tags":["Multirotor","Propulsion","Aeronautics","Range (aeronautics)","Work (physics)"],"confidence":0.72,"sites":["low-altitude"],"publishedDate":"2021-05-10","addedAt":"2026-08-06T22:48:47.330Z","doi":"10.4050/f-0077-2021-16737","updatedAt":"2026-08-31T14:45:35.251Z"},{"id":"doi:10.2139/ssrn.6438823","name":"A Data-Driven Handling Qualities Assessment Approach,for a Lift-and-Cruise eVTOL Aircraft","source":"crossref","abstract":"The rapid development of electric Vertical Take off and Landing (eVTOL) necessitates reliable and efficient methods for assessing Handling Qualities (HQ) across diverse operators. The Cooper-Harper Rating (CHR) method relies on subjective evaluations by highly trained test pilots, which can be time-consuming, costly, and prone to individual biases. Meanwhile, aircraft-based quantitative metrics characterize performance and response, but they provide limited direct observability of the compensatory effort required from the operator. In response, this study proposes a data-driven approach that utilizes a fusion of flight performance metrics and physiological proxies of pilot compensation to estimate assigned HQ levels through deep learning techniques. A flight test was conducted to collect and extract physiological signals from both the reference pilot group and the broader-operator group, where data from the reference pilot group guided the selection of the most responsive indicators based on copula entropy. These indicators were then concatenated with flight performance data and used to train a convolutional neural network-based model. The model demonstrated strong performance, achieving an accuracy of 96.15% in predicting HQ levels. For cross-pilot generalization, the model was adapted via few-shot fine-tuning, yielding an average accuracy of 85.21%. Ablation studies confirmed that fusing aircraft states with physiological proxies significantly enhanced cross-subject generalization compared to relying on single-domain data. The proposed framework complements existing methods by structurally combining aircraft-centric criteria with human-centric effort, thereby supporting the consistency checking of subjective ratings and enabling scalable evaluation for eVTOL HQ testing.","url":"https://doi.org/10.2139/ssrn.6438823","authors":["Yuhan Li","Shuguang Zhang","Nan Wang","Michael Zintl","Florian Holzapfel"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-03-18T20:36:58Z","addedAt":"2026-08-06T22:48:47.330Z","doi":"10.2139/ssrn.6438823","updatedAt":"2026-08-31T06:39:38.599Z"},{"id":"doi:10.2514/6.2024-84518","name":"Project Albatross: Medevac UAV eVTOL Emergency Response Modular Aircraft","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2024-84518","authors":["Yahya Ismail","Adonis Aldana","Muhammed Shah","Matvey Zubkov"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-08-06T13:13:41Z","addedAt":"2026-08-06T22:48:47.330Z","doi":"10.2514/6.2024-84518","updatedAt":"2026-08-31T06:39:38.600Z"},{"id":"doi:10.2514/6.2024-2506","name":"Multi-Fidelity Bayesian Optimization of a Coaxial Rotor for eVTOL Aircraft","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2024-2506","authors":["Racheal M. Erhard","Juan J. Alonso"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-01-30T01:50:11Z","addedAt":"2026-08-06T22:48:47.331Z","doi":"10.2514/6.2024-2506","updatedAt":"2026-08-31T06:39:38.600Z"},{"id":"doi:10.1109/iteceats66641.2026.11593002","name":"Electric Engine Technology Review in eVTOL Aircraft for Transportation Electrification","source":"openalex","abstract":"","url":"https://doi.org/10.1109/iteceats66641.2026.11593002","authors":["Ali Mohammadi","Abdul Bandarkar","Joshua Biro"],"tags":["Electrification","Automotive engineering","Engineering","Environmental science","Electricity"],"confidence":0.72,"sites":["low-altitude"],"publishedDate":"2026-06-10","addedAt":"2026-08-06T22:48:47.331Z","doi":"10.1109/iteceats66641.2026.11593002","updatedAt":"2026-08-31T14:45:35.251Z"},{"id":"doi:10.4050/sm_evtol_2025-5356","name":"RTX Electrified Aircraft Propulsion","source":"crossref","abstract":"RTX Electrified Aircraft Propulsion","url":"https://doi.org/10.4050/sm_evtol_2025-5356","authors":["Ray McFall"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-07-21T15:49:59Z","addedAt":"2026-08-06T22:48:47.331Z","doi":"10.4050/sm_evtol_2025-5356","updatedAt":"2026-08-31T06:39:38.600Z"},{"id":"doi:10.2514/6.2025-0222","name":"Development of Liquid-Cooled Battery System Sizing Method for eVTOL Aircraft","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2025-0222","authors":["Junhwi Park","Kwanjung Yee"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-02-12T09:44:16Z","addedAt":"2026-08-06T22:48:47.331Z","doi":"10.2514/6.2025-0222","updatedAt":"2026-08-31T06:39:38.600Z"},{"id":"doi:10.21203/rs.3.rs-9985036/v1","name":"Tilt-Duct eVTOL Aircraft Design: Aerodynamics, Propulsion and Structural Validation","source":"europepmc","abstract":"Abstract This paper presents the conceptual design and multidisciplinary analysis of an electric Vertical Takeoff and Landing (eVTOL) aircraft for autonomous intra-city cargo delivery. Six symmetrically arranged tilt-duct fans enable efficient hover-to-cruise transition. An iterative weight-estimation framework combining momentum theory and blade element theory converged in 13 cycles to a Maximum Takeoff Weight of 352 kg, payload 100 kg, and range of 20 nautical miles. Propulsion sizing yielded rotor radius 0.3825 m and total hover power 116.9 kW. Three candidate wing airfoils were evaluated using XFLR5, OpenVSP/VspAero and ANSYS Fluent RANS CFD; NACA 4415 was selected for its stall angle of 17 degrees and peak lift coefficient of 1.909. A SolidWorks 3D assembly was validated by ANSYS Static Structural finite element analysis using carbon fibre (Ex = 290 GPa), yielding maximum deformation 0.0245 mm and peak stress 5.26 MPa, confirming a structural safety factor exceeding 95.","url":"https://doi.org/10.21203/rs.3.rs-9985036/v1","authors":["Faisal Prodhan Abu Said Md Taher","Fahad Abul Kalam","Fatema Tuz Zohra"],"tags":["Propulsion","Finite element method","Engineering","Structural engineering","Takeoff"],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:47.331Z","doi":"10.21203/rs.3.rs-9985036/v1","updatedAt":"2026-08-31T14:45:35.251Z"},{"id":"doi:10.66967/jaics.2026.v2i104","name":"Immersion and Invariance Adaptive Fault-Tolerant Attitude Control for a Coaxial Tilt-Rotor eVTOL Aircraft","source":"openalex","abstract":"This paper proposes an adaptive fault-tolerant attitude control strategy based on the Immersion and Invariance (I&amp;I) methodology for a Coaxial Tilt-Rotor (CTR) eVTOL aircraft. The CTR-eVTOL, equipped with two pairs of CTR modules and a rear rotor, exhibiting strong nonlinearity, underactuated, and strong coupling characteristics, faces significant challenges in maintaining stable attitude control when subjected to a Loss Of Effectiveness (LOE) fault. To address this, the proposed Fault-Tolerant Control (FTC) strategy integrates the I&amp;I adaptive methodology to compensate for the torque losses induced by the LOE fault. Specifically, an I&amp;I-based adaptive update law is designed to estimate the unknown faulty coefficient. The closed-loop system's asymptotic stability is theoretically proven using the Lyapunov method and LaSalle's invariance theorem. Real ground bench experiments with comparative controllers validate the effectiveness and superiority of the proposed FTC strategy.","url":"https://doi.org/10.66967/jaics.2026.v2i104","authors":["Zheng Hou","Zongyang Lv","Yuhu Wu"],"tags":["Control theory (sociology)","Adaptive control","Coaxial","Torque","Attitude control"],"confidence":0.72,"sites":["low-altitude"],"publishedDate":"2026-03-16","addedAt":"2026-08-06T22:48:47.331Z","doi":"10.66967/jaics.2026.v2i104","updatedAt":"2026-08-31T14:45:35.251Z"},{"id":"doi:10.2514/6.2023-4396","name":"Object-Oriented Multi Fidelity Aircraft Design Tool for Fixed Wing eVTOL UAVs","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2023-4396","authors":["Thomas Seren","Mirko Hornung"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-06-08T15:36:49Z","addedAt":"2026-08-06T22:48:47.331Z","doi":"10.2514/6.2023-4396","updatedAt":"2026-08-31T06:39:38.600Z"},{"id":"doi:10.4050/sm-2026-vlada-5203","name":"Handling Qualities Analysis of an eVTOL Aircraft with Direct Side Force Control","source":"crossref","abstract":"This paper presents an initial handling qualities analysis of an Electric Vertical Take-Off and Landing (eVTOL) hexacopter. The analysis uses the Distributed Electric Propulsion Simulation (DEPSim), developed by Penn State University (PSU) and the Comprehensive Hierarchical Aeromechanics Rotorcraft Model (CHARM), developed by Continuum Dynamics, Inc. (CDI). The study focuses on evaluating a generic AAM hexacopter performing Handling Qualities Task Elements (HQTE) as defined by the DOT / FAA. A trajectory controller was developed to enable simulation of prescribed flight paths, allowing automated simulation of four HQTEs: Heliport Approach, Hovering Turn and Hold, Pirouette, Lateral Reposition and Hold. Design modifications incorporating lateral mast tilt and Direct Side Force Control (DSFC) were implemented to enhance yaw control and ride qualities. Piloted simulations were conducted at the PSU rotorcraft flight simulation facility using DEPSim, employing an Attitude Command Attitude Hold (ACAH) architecture with mode switching to Translational Rate Command / Position Hold (TRC / PH) and TRC plus DSFC modes. Two of the four HQTEs were tested in piloted simulations. Though formal ratings were not collected at this time, pilot commands and performance indicated that TRC / PH and TRC plus DSFC modes enhance handling qualities over ACAH mode. The DSFC control law was found to have substantially reduced roll attitude, which could potentially enhance visual cueing, pilot comfort, and pilot-perceived handling qualities.","url":"https://doi.org/10.4050/sm-2026-vlada-5203","authors":["Soohyeon Lee","Joseph Horn","Todd Quackenbush","Jeffrey Keller"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-05-29T15:17:21Z","addedAt":"2026-08-06T22:48:47.331Z","doi":"10.4050/sm-2026-vlada-5203","updatedAt":"2026-08-31T06:39:38.599Z"},{"id":"doi:10.2514/6.2022-1192","name":"Development and Testing of Scalable Mission Task Elements for Certification of eVTOL Aircraft","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2022-1192","authors":["Michael Jones","Tim Jusko"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2022-01-04T06:25:25Z","addedAt":"2026-08-06T22:48:47.331Z","doi":"10.2514/6.2022-1192","updatedAt":"2026-08-31T06:39:38.600Z"},{"id":"doi:10.64631/nnfm3623","name":"The Integration of eVTOL Aircraft and Infrastructure into San Jose Mineta International Airport","source":"crossref","abstract":"","url":"https://doi.org/10.64631/nnfm3623","authors":["Skylar Bogner","Pranav Karthikeyan","Radha Ganesh","Krish Saini","Louisa Regulla-Wilkens","Elliana Zhao"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-12-15T20:58:39Z","addedAt":"2026-08-06T22:48:47.331Z","doi":"10.64631/nnfm3623","updatedAt":"2026-08-31T06:39:38.600Z"},{"id":"doi:10.2514/1.c037225.c1","name":"Correction: Novel Electric Propulsion System Analysis Method for eVTOL Aircraft Conceptual Design","source":"crossref","abstract":"","url":"https://doi.org/10.2514/1.c037225.c1","authors":["Donguk Lee","Kwanjung Yee"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-10-23T05:02:26Z","addedAt":"2026-08-06T22:48:47.331Z","doi":"10.2514/1.c037225.c1","updatedAt":"2026-08-31T06:39:38.600Z"},{"id":"doi:10.3390/en13225995","name":"Numerical Investigation of the Rotor-Rotor Aerodynamic Interaction for eVTOL Aircraft Configurations","source":"crossref","abstract":"The rotor-rotor aerodynamic interaction is one of the key phenomena that characterise the flow and the performance of most of the new urban air mobility vehicles (eVTOLs) developed in the recent years. The present article describes a numerical activity that aimed to the systematic study of the rotor-rotor aerodynamic interaction with application to the flight conditions typical of eVTOL aircraft. The activity considers the use of a novel mid-fidelity aerodynamic solver based on vortex particle method. In particular, numerical simulations were performed when considering two propellers both in side-by-side and tandem configuration with different separation distances. The results of numerical simulations showed a slight reduction of the propellers performance in side-by-side configuration, while a remarkable loss of thrust in the order of 40% and a reduction of about 20% of the propulsive efficiency were found in tandem configuration, particularly when the propeller disks are completely overlapped. Moreover, the flow field analysis enabled providing a detailed insight regarding the flow physics involved in such aerodynamic interactions.","url":"https://doi.org/10.3390/en13225995","authors":["Riccardo Piccinini","Matteo Tugnoli","Alex Zanotti"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2020-11-17T07:23:28Z","addedAt":"2026-08-06T22:48:47.331Z","doi":"10.3390/en13225995","updatedAt":"2026-08-31T06:39:38.600Z"},{"id":"doi:10.2514/6.2026-4686","name":"Development of Fuel Cell System Design Method for eVTOL Aircraft","source":"openalex","abstract":"Hydrogen fuel cell systems, together with batteries, have gained significant attention as promising propulsion systems for electric vertical takeoff and landing (eVTOL) aircraft. However, the feasibility and performance of fuel cell-powered eVTOL aircraft remain unclear due to the lack of a design methodology capable of yielding physically credible results. To address this gap, this study develops a physics-based and data-informed design method for fuel cell systems. The system architecture, consisting of a stack, humidifier, hydrogen tank, compressor-expander module, and thermal management system (TMS), is presented. Detailed component-level analysis and weight estimation models are established. Using these models, a comprehensive design process for fuel cell systems is developed and applied to eVTOL aircraft sizing under baseline conditions. The mission analysis indicates that the balance of plant (BoP) requires 7.5% to 38.6% of the total stack output power throughout the mission, highlighting the importance of detailed BoP analysis for each mission segment. The weight estimation results show that the TMS accounts for 31.5% of the total fuel cell system weight, indicating it is a major contributor to the overall system weight. The specific power of the fuel cell system is estimated to be 0.63 kW/kg, which is consistent with the range reported in previous studies.","url":"https://doi.org/10.2514/6.2026-4686","authors":["Junhwi Park","Jaehyun Cho","Inyoung Lee","Kwanjung Yee","Jiyeon Cho"],"tags":["Engineering","Automotive engineering","Systems design","Fuel cells","Control system"],"confidence":0.72,"sites":["low-altitude"],"publishedDate":"2026-06-04","addedAt":"2026-08-06T22:48:47.331Z","doi":"10.2514/6.2026-4686","updatedAt":"2026-08-31T14:45:35.251Z"},{"id":"doi:10.2514/6.2026-2088","name":"System Identification for a Subscale Tiltrotor eVTOL Aircraft from Hover Flight-Test Data","source":"openalex","abstract":"This paper describes the system identification process and hover flight-test modeling results for a subscale tiltrotor electric vertical takeoff and landing (eVTOL) vehicle built at NASA Langley Research Center. The vehicle, referred to as the Research Aircraft for eVTOL Enabling techNologies (RAVEN) Subscale Wind-Tunnel and Flight Test (SWFT) model, operates as a dynamic modeling and flight controls research testbed used to advance eVTOL aircraft technology. Expanding on previous eVTOL aircraft system identification research leveraging wind-tunnel testing and flight simulations, a modeling approach using flight data is presented for the RAVEN-SWFT aircraft. The full system identification methodology is outlined, including the experiment design, flight testing, and model identification steps. An overview of the current flight-test envelope expansion status is included, alongside modeling results obtained from hover flight testing using two types of maneuvers employing multisine excitation inputs. The flight-derived model is shown to have a close model fit and good prediction performance in the hover flight regime. The methods discussed in the paper help to inform efficient flight-test-based modeling strategies for many current and future eVTOL aircraft.","url":"https://doi.org/10.2514/6.2026-2088","authors":["Benjamin M. Simmons","Kasey A. Ackerman"],"tags":["Flight envelope","Takeoff","Testbed","Identification (biology)","System identification"],"confidence":0.72,"sites":["low-altitude"],"publishedDate":"2026-01-08","addedAt":"2026-08-06T22:48:47.331Z","doi":"10.2514/6.2026-2088","updatedAt":"2026-08-31T14:45:35.251Z"},{"id":"doi:10.4050/f-0080-2024-1250","name":"Transitioning eVTOL Aircraft with Augmentative Cross-Modal Elements","source":"crossref","abstract":"In the realm of transitioning eVTOL aircraft, hindrance may be placed on performance in each of the two flight modes due to the existence of apparatuses or devices intended wholly for the other mode. For example, the presence of wings will normally reduce hover endurance due to their weight, and the use of a plurality of exposed lift-propellers - for hover stability and control - can lower flight speed and range in airplane mode because of the excess drag. It would seem, then, that transitioning eVTOL aircraft are generally poor performers in any mode when compared to their dedicated, single-mode cousins. This paper explores another possibility, of substantial performance improvement when the devices or their use become elements augmenting performance in the other mode - or cross-modally. Through an example dual-propeller aircraft, several cross-modal elements - including phenomena like the fan-in-wing effect and the inverse of Custer's channel-wing effect - are identified and their merits expounded.","url":"https://doi.org/10.4050/f-0080-2024-1250","authors":["Gary Robert Gress"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-06-20T18:36:15Z","addedAt":"2026-08-06T22:48:47.331Z","doi":"10.4050/f-0080-2024-1250","updatedAt":"2026-08-31T06:39:38.600Z"},{"id":"doi:10.4050/sm_sym_2025-5428","name":"Advanced Safety Architecures for eVTOL Motor Drive Systems","source":"crossref","abstract":"Advanced Safety Architecures for eVTOL Motor Drive Systems","url":"https://doi.org/10.4050/sm_sym_2025-5428","authors":["Matt Farides"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-07-21T17:01:11Z","addedAt":"2026-08-06T22:48:47.331Z","doi":"10.4050/sm_sym_2025-5428","updatedAt":"2026-08-31T06:39:38.600Z"},{"id":"doi:10.2514/6.2022-3514","name":"Development of Fuel Cell/Battery Hybrid System Sizing Methodology for eVTOL Aircraft","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2022-3514","authors":["Junhwi Park","Donguk Lee","Kwanjung Yee"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2022-06-21T03:07:36Z","addedAt":"2026-08-06T22:48:47.331Z","doi":"10.2514/6.2022-3514","updatedAt":"2026-08-31T06:39:38.600Z"},{"id":"doi:10.22488/okstate.24.100223","name":"Consumer Willingness to Fly on Advanced Air Mobility (AAM) Electric Vertical Takeoff and Landing (eVTOL) Aircraft","source":"crossref","abstract":"For any novel means of transportation to thrive, its success hinges on the willingness of prospective customers to adopt the new system. To explore consumer willingness to participate in Advanced Air Mobility (AAM) by flying on electric vertical takeoff and landing (eVTOL) aircraft, an online survey of 975 individuals in the U.S. was conducted using an existing Willingness to Fly (WTF) scale designed specifically for assessing the acceptance of new aviation technologies and services. Most respondents expressed interest in flying on an eVTOL but planned to wait a few months after service starts before participating in AAM. Overall, the most frequent responses were “agree” and “strongly agree\" with being WTF in eVTOLs. The survey offered four different eVTOL flight scenarios, with respondent WTF decreasing as weather or conditions deteriorated. Images of specific eVTOL models were used to assess WTF on each aircraft type. The vehicle with the most unique type of powerplants resulted in the lowest reported WTF. The study also analyzed the WTF of flying on eVTOLs across various demographic attributes. Results showed significant differences between genders, with males having a higher average WTF score. There was a weak negative correlation between WTF and age. Married respondents had the highest WTF, followed by single persons. WTF varied significantly across types of employment, income, and educational attainment. The highest WTF scores were found in the $50,000-74,999 range, with urban respondents having higher WTF than those in suburban and rural locations. Safety and cost were the top two concerns among all levels of WTF. The combination of employment status and marital status was found to be most correlated to WTF. By comprehending the inclination of consumers to travel in eVTOL aircraft, policymakers, manufacturers, and stakeholders can garner valuable insights into market demand, consumer preferences, sustainable transportation, and environmental considerations. Identifying characteristics that support or inhibit customer acceptability can assist in overcoming resistance to adoption and lead to more effective implementation of eVTOLs. Public outreach and education may be warranted to promote familiarity and passion among potential users, increasing interest and involvement. Recommendations for future research include repeating the study with an international sample and exploring willingness to pay for AAM services.","url":"https://doi.org/10.22488/okstate.24.100223","authors":["David Ison"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-10-04T13:25:15Z","addedAt":"2026-08-06T22:48:47.331Z","doi":"10.22488/okstate.24.100223","updatedAt":"2026-08-31T06:39:38.600Z"},{"id":"doi:10.2514/6.2024-2482","name":"Statistical Wind-Tunnel Experimentation Advancements for eVTOL Aircraft Aero-Propulsive Model Development","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2024-2482","authors":["Benjamin M. Simmons","Ronald C. Busan"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-01-30T01:50:11Z","addedAt":"2026-08-06T22:48:47.331Z","doi":"10.2514/6.2024-2482","updatedAt":"2026-08-31T06:39:38.600Z"},{"id":"doi:10.23919/acc60939.2024.10644242","name":"Optimal Charging with Active Thermal Management for eVTOL Aircraft Battery Packs","source":"crossref","abstract":"","url":"https://doi.org/10.23919/acc60939.2024.10644242","authors":["Alireza Goshtasbi","Sangwoo Han","Ruxiu Zhao","Jeremy Neubauer"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-09-05T17:56:19Z","addedAt":"2026-08-06T22:48:47.331Z","doi":"10.23919/acc60939.2024.10644242","updatedAt":"2026-08-31T06:39:38.600Z"},{"id":"doi:10.3390/engproc2024080016","name":"Research on the Requirement Validation Process of an eVTOL Aircraft","source":"crossref","abstract":"","url":"https://doi.org/10.3390/engproc2024080016","authors":["Haiyun Yang","Yiheng Li","Jing Hu"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-01-07T06:02:18Z","addedAt":"2026-08-06T22:48:47.331Z","doi":"10.3390/engproc2024080016","updatedAt":"2026-08-31T06:39:38.600Z"},{"id":"doi:10.2514/6.2024-3699","name":"Development of Air-Cooled Battery Sizing Method for eVTOL Aircraft","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2024-3699","authors":["Junhwi Park","Taemin Jeong","Kwanjung Yee"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-09-20T09:39:41Z","addedAt":"2026-08-06T22:48:47.331Z","doi":"10.2514/6.2024-3699","updatedAt":"2026-08-31T06:39:38.600Z"},{"id":"doi:10.1109/aero58975.2024.10521178","name":"Performance Study of an eVTOL Aircraft With Fully Electric, Hybrid, and Conventional Propulsion","source":"crossref","abstract":"","url":"https://doi.org/10.1109/aero58975.2024.10521178","authors":["Richard Anderson","Riccardo Roiati","Tyler Rice","Brock Steinfeldt"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-05-13T17:23:34Z","addedAt":"2026-08-06T22:48:47.331Z","doi":"10.1109/aero58975.2024.10521178","updatedAt":"2026-08-31T06:39:38.600Z"},{"id":"doi:10.2514/6.2022-1029","name":"Preliminary control and stability analysis of a long-range eVTOL aircraft","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2022-1029","authors":["Jakob Schoser","Miguel Cuadrat-Grzybowski","Saullo G. Castro"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2022-01-04T06:25:25Z","addedAt":"2026-08-06T22:48:47.331Z","doi":"10.2514/6.2022-1029","updatedAt":"2026-08-31T06:39:38.600Z"},{"id":"doi:10.2514/6.2024-0517","name":"Mixed Model Predictive Control and Data-Driven Control of a Tiltrotor eVTOL Aircraft","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2024-0517","authors":["Shen Qu","Tianyi He","Weihua Su"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-01-29T16:41:50Z","addedAt":"2026-08-06T22:48:47.331Z","doi":"10.2514/6.2024-0517","updatedAt":"2026-08-31T06:39:38.600Z"},{"id":"doi:10.2514/6.2024-2506.c1","name":"Correction: Multi-Fidelity Bayesian Optimization of a Coaxial Rotor for eVTOL Aircraft","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2024-2506.c1","authors":["Racheal M. Erhard","Juan J. Alonso"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-02-18T09:58:02Z","addedAt":"2026-08-06T22:48:47.331Z","doi":"10.2514/6.2024-2506.c1","updatedAt":"2026-08-31T06:39:38.600Z"},{"id":"doi:10.2514/1.c038487","name":"Individual Propeller Source Noise Assessment from Full-Scale eVTOL Flight Test Measurements","source":"crossref","abstract":"Aircraft equipped with distributed propulsion, e.g., those utilizing many propulsors for lift and thrust, radiate complex acoustic signatures with strong dependence on the vehicle state. In an effort to better interpret acoustic measurements and characterize the major noise source mechanisms, the Vold–Kalman order-tracking filter is applied to full-scale acoustic flight test measurements of the Joby Aviation eVTOL aircraft. Using synchronized acquisition of the aircraft position, time-varying rotation rates of each propeller, and any given single-channel acoustic signal, harmonic and nonharmonic acoustic content can be separated. Furthermore, this time-domain technique can also separate harmonic content among individual propellers, providing additional physical insight into the total acoustic field. A 60 kt level flyover and hover are used to exemplify the effectiveness of the method. High-fidelity simulations were performed under similar aircraft conditions from the flight test, indicating very good agreement with measured overall aircraft noise levels and filtered levels of individual propellers. Results clearly demonstrate the ability to rank propellers in terms of their relative importance without the use of phased microphone arrays. Frequency- and order-domain results are provided, as well as noise hemispheres, to illustrate relative source contributions and emission angle dependence. Given the similarities in propeller states for each flight condition, acoustic differences can be associated with interactional or installation effects, highlighting the shortcomings of isolated propeller models.","url":"https://doi.org/10.2514/1.c038487","authors":["Kyle A. Pascioni","Austin D. Thai","Jeremy J. Bain"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-02-05T15:42:55Z","addedAt":"2026-08-06T22:48:47.331Z","doi":"10.2514/1.c038487","updatedAt":"2026-08-31T06:39:38.599Z"},{"id":"doi:10.1109/icuas54217.2022.9836228","name":"Multidisciplinary Optimisation of an eVTOL UAV With a Hydrogen Fuel Cell","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icuas54217.2022.9836228","authors":["Bernardo Alves","Andre Marta","Luis Felix"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2022-07-26T19:39:18Z","addedAt":"2026-08-06T22:48:47.331Z","doi":"10.1109/icuas54217.2022.9836228","updatedAt":"2026-08-31T06:39:38.600Z"},{"id":"doi:10.2139/ssrn.6675498","name":"A Multi-Fidelity Simulation Framework for Coupled Power Demand Modelling of eVTOL Aircraft","source":"openalex","abstract":"Accurate power demand prediction is a prerequisite for electric propulsion system sizing, energy management strategy development, and thermal management design of electric vertical take-off and landing (eVTOL) aircraft. Existing power demand models, predominantly based on isolated component assumptions, neglect the complex aerodynamic interference between propellers and airframe in ”lift + cruise” configurations. This paper establishes a multi-fidelity computational fluid dynamics (CFD) framework integrating blade element momentum theory (BEMT) for preliminary propeller design, OpenVSP-based isolated propeller CFD for component-level calibration, and the STAR-CCM+ actuator disk method for full-vehicle coupled simulation. A key methodological feature is the formalisation of the BEMT-CFD thrust correction iteration as a fixed-point problem, whose global convergence is proved via the Banach fixed-point theorem. The framework is applied to a 2-ton, 5-seat configuration with 12 vertical take-off (VT) propellers and 3 forward flight (FF) propellers. Results show that VT propeller-airframe coupling induces a thrust demand increase of up to 10.96% in the low-speed regime. Under forward acceleration, FF propeller wakes degrade the average VT thrust-to-power ratio by 6.13%, with the most affected propeller experiencing a 19.71% reduction. A four-dimensional power demand map spanning forward speed/acceleration and vertical speed/acceleration is constructed. The map reveals a U-shaped power curve with a minimum at 145 km/h, significantly below the 175 km/h full transition speed, and defines the deceleration accessibility boundary. This framework provides a validated high-fidelity load model for energy management optimisation and flight trajectory planning.","url":"https://doi.org/10.2139/ssrn.6675498","authors":["Xing Huang","Jingyi Sun","Zheng Fang","Shucheng He","Bailin Zheng","Ke Song","宋科"],"tags":["Propeller","Thrust","Aerodynamics","Airframe","Propulsion"],"confidence":0.72,"sites":["low-altitude"],"publishedDate":"2026-01-01","addedAt":"2026-08-06T22:48:47.331Z","doi":"10.2139/ssrn.6675498","updatedAt":"2026-08-31T14:45:35.251Z"},{"id":"doi:10.1201/9781003167693-13","name":"All-electric Vertical Take-off and Landing Aircraft (eVTOL) for Sustainable Urban Travel","source":"crossref","abstract":"","url":"https://doi.org/10.1201/9781003167693-13","authors":["Raffaele Russo","Eric C.D. Tan"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-07-14T16:43:14Z","addedAt":"2026-08-06T22:48:47.331Z","doi":"10.1201/9781003167693-13","updatedAt":"2026-08-31T06:39:38.600Z"},{"id":"doi:10.64631/olai1113","name":"Combined Test and Analysis Approach to Develop Energy Absorbing Systems for eVTOL Aircraft","source":"crossref","abstract":"","url":"https://doi.org/10.64631/olai1113","authors":["Jacob B Putnam","Justin D Littell","Nathaniel W Gardner","Robin C Hardy","Matlock Mennu"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-02-17T13:50:30Z","addedAt":"2026-08-06T22:48:47.331Z","doi":"10.64631/olai1113","updatedAt":"2026-08-31T06:39:38.599Z"},{"id":"doi:10.4050/f-0079-2023-18008","name":"Optimal Operation of Rotor-Wing Assemblies on eVTOL Aircraft","source":"crossref","abstract":"","url":"https://doi.org/10.4050/f-0079-2023-18008","authors":["Jonah Whitt","Farhan Gandhi"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-06-28T16:06:28Z","addedAt":"2026-08-06T22:48:47.331Z","doi":"10.4050/f-0079-2023-18008","updatedAt":"2026-08-31T06:39:38.600Z"},{"id":"doi:10.2514/6.2024-0006","name":"Rapid propeller Performance estimation for eVTOL-Class Aircraft Using a Surface-Vorticity Flow solver","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2024-0006","authors":["Francois Fortin","Vivek Ahuja"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-01-29T19:17:30Z","addedAt":"2026-08-06T22:48:47.331Z","doi":"10.2514/6.2024-0006","updatedAt":"2026-08-31T06:39:38.600Z"},{"id":"doi:10.2514/1.c035814","name":"Aerodynamic Interaction Effects Between Propellers in Typical eVTOL Vehicle Configurations","source":"crossref","abstract":"","url":"https://doi.org/10.2514/1.c035814","authors":["Tom C. A. Stokkermans","Daniele Usai","Tomas Sinnige","Leo L. M. Veldhuis"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2021-03-31T07:46:54Z","addedAt":"2026-08-06T22:48:47.331Z","doi":"10.2514/1.c035814","updatedAt":"2026-08-31T06:39:38.600Z"},{"id":"doi:10.4050/f-0081-2025-0288","name":"A Hover Driven Approach to eVTOL Aircraft Design","source":"crossref","abstract":"eVTOL aircraft are a stable part of nowadays rotorcraft industry, gathering attention and investments throughout all geographies. The challenge of designing such a vehicle is the necessity to combine transformative flight and distributed lifting systems. This paper presents a methodology developed within Leonardo Helicopters Division (LHD) to perform the preliminary design of eVTOLs, following an approach that starts from hovering flight, investigating the design permutations able to satisfy certain criteria of performance, maneuverability, and safety.","url":"https://doi.org/10.4050/f-0081-2025-0288","authors":["Francesco Landi","Luca Caccetta"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-04-10T16:56:52Z","addedAt":"2026-08-06T22:48:47.331Z","doi":"10.4050/f-0081-2025-0288","updatedAt":"2026-08-31T06:39:38.600Z"},{"id":"doi:10.2514/6.2026-4409","name":"A Throughput Based Model for Estimating eVTOL Operations and Aircraft Utilization","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2026-4409","authors":["Somrick Das Biswas","William A. Crossley","Daniel DeLaurentis"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-06-04T17:45:42Z","addedAt":"2026-08-06T22:48:47.331Z","doi":"10.2514/6.2026-4409","updatedAt":"2026-08-31T06:39:38.599Z"},{"id":"doi:10.2514/1.c038391","name":"Impact of Failure on the Tilt-Wing eVTOL Backward Transition","source":"crossref","abstract":"The backward transition from cruise to hover flight is the crucial flight maneuver for tilt-wing aircraft, as it allows for a safe vertical landing. At the same time, this flight phase is especially challenging due to low thrust settings and thereby reduced slipstream effects, which push the wing states toward or beyond flow separation. This raises the question of how failure conditions further impact these already severe conditions and if the remaining flight performance suffices to perform the backward transition. This study therefore assesses the tilt-wing’s fault tolerance against single and combined component failures. The reference scenario of a longitudinal level backward transition is investigated with optimal-control-based trajectory optimization on a six-degree-of-freedom aircraft model. The results indicate fault tolerance of the tilt-wing aircraft for most failure cases. The majority of failure cases leading to unfeasible transition trajectories suffer from unbalanced hover or cruise conditions. Only for the failure case of control surface runaways on the same side of the canard and main wing, the transition maneuver itself is the limiting factor due to increased thrust settings and thus longer transition times.","url":"https://doi.org/10.2514/1.c038391","authors":["Marc May","Daniel Milz","Sophie F. Armanini","Gertjan Looye"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-09-12T14:07:41Z","addedAt":"2026-08-06T22:48:47.331Z","doi":"10.2514/1.c038391","updatedAt":"2026-08-31T06:39:38.599Z"},{"id":"doi:10.2514/6.2021-3220","name":"A Performance Comparison of eSTOL and eVTOL Aircraft","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2021-3220","authors":["Christopher Courtin","Ara Mahseredjian","Annick J. Dewald","Mark Drela","John Hansman"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2021-07-28T15:32:16Z","addedAt":"2026-08-06T22:48:47.331Z","doi":"10.2514/6.2021-3220","updatedAt":"2026-08-31T06:39:38.600Z"},{"id":"doi:10.4050/f-0079-2023-18062","name":"Flight Dynamics and Control of the Butterfly eVTOL Aircraft in Hover","source":"crossref","abstract":"","url":"https://doi.org/10.4050/f-0079-2023-18062","authors":["Puneet Singh"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-06-27T12:10:56Z","addedAt":"2026-08-06T22:48:47.331Z","doi":"10.4050/f-0079-2023-18062","updatedAt":"2026-08-31T06:39:38.600Z"},{"id":"doi:10.1108/aeat-06-2023-0167","name":"Conceptual design and analysis of a box fan-in-split-wing tiltrotor eVTOL aircraft","source":"crossref","abstract":"Purpose With the advancements in electric vertical take-off and landing (eVTOL) aircraft technology such as batteries, mechanisms, motors, configurations and so on, designers and engineers are encouraged to create unique and unconventional configurations of eVTOL aircraft to provide better capabilities and higher efficiencies to compete in the market. The box fan-in-split-wing tiltrotor eVTOL aircraft is an innovative design that aims to address the aerodynamic inefficiencies such as propeller effects in cruise and engine mounts drag that existed in traditional eVTOL aircraft designs such as vectored thrust, rotorcraft, lift + cruise and multi-copter configurations. This paper aims to propose a multi-disciplinary design process to conceptually design the box fan-in-split-wing Tiltrotor eVTOL aircraft. Design/methodology/approach An unconventional methodology was used to design the UAM aircraft, and the following parameters are considered: capable of vertical take-off and landing, highly aerodynamic with a high lift-to-drag ratio, low Cd 0 modern and appealing, rechargeable or battery swappable and feature to minimise or negate propeller drag. A heavy emphasis on improving performance and weight based on aerodynamics was enforced during the conceptual design phase. MAPLA and XFOIL were used to identify the aerodynamic properties of the aircraft. Findings Upon determining the key parameters and the mission requirements and objectives, a list of possible VTOL configurations was derived from theoretical and existing designs. The fan in the wing/split wing was selected, as it could stow the propellers. A tiltrotor configuration was selected because of its ability to reduce the total number of lift props/motors, reducing powerplant weight and improving aerodynamic efficiency. For the propulsion configuration, a battery–motor configuration with a hexa-rotor layout was chosen because of its ability to complement the planform of the aircraft, providing redundant motors in case of failure and because of its reliability, efficiency and lack of emissions. Coupled with the fan-in-wing / split wing concept, the box wing seamlessly combines all chosen configurations. Originality/value The box fan-in-split-wing Tiltrotor eVTOL aircraft aims to address the aerodynamic inefficiencies of earlier designs such as propeller effects in cruise and engine mounts drag. The potential benefits of this aircraft, such as increased range, endurance and payload capacity, make it an exciting prospect in the field of Urban Air Mobility.","url":"https://doi.org/10.1108/aeat-06-2023-0167","authors":["Yukei Oyama","Mohsen Rostami","Joon Chung"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-08-09T01:58:59Z","addedAt":"2026-08-06T22:48:47.331Z","doi":"10.1108/aeat-06-2023-0167","updatedAt":"2026-08-31T06:39:38.600Z"},{"id":"doi:10.12968/s1478-2774(23)50004-1","name":"Evtol Jet Aircraft Achieves First Transition","source":"crossref","abstract":"","url":"https://doi.org/10.12968/s1478-2774(23)50004-1","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-02-17T16:53:36Z","addedAt":"2026-08-06T22:48:47.331Z","doi":"10.12968/s1478-2774(23)50004-1","updatedAt":"2026-08-31T06:39:38.600Z"},{"id":"doi:10.2514/6.2023-2096","name":"Trends in eVTOL Aircraft Development: The Concepts, Enablers and Challenges","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2023-2096","authors":["Osita Ugwueze","Thomas Statheros","Mike A. Bromfield","Nadjim Horri"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-01-21T01:59:16Z","addedAt":"2026-08-06T22:48:47.331Z","doi":"10.2514/6.2023-2096","updatedAt":"2026-08-31T06:39:38.600Z"},{"id":"doi:10.2514/6.2026-4309","name":"A Model-Based Framework for Data-Driven Certification of eVTOL Aircraft","source":"openalex","abstract":"The certification of powered-lift and eVTOL aircraft requires a clear and traceable connection between regulatory requirements, Means of Compliance (MoCs), analytical models, simulation outputs, and verification evidence. This paper introduces the Digital Compliance Thread (DCT), a model-based framework intended to support the organization and traceability of certification-related evidence for aircraft certified under 14 CFR § 21.17(b). The framework applies Model-Based Systems Engineering (MBSE) principles and SysML modeling to represent regulatory clauses, selected MoCs, analytical models, and digital verification artifacts within a unified model environment. The regulatory context is based on applicable provisions from 14 CFR Parts 23 and 27, together with FAA Advisory Circular 21.17-4 for powered-lift type certification. To illustrate the proposed approach, a representative load-analysis case is implemented using the Generic Urban Air Mobility (GUAM) model, with the resulting simulation outputs organized as traceable evidence artifacts within the DCT structure. In this demonstration, selected Part 25 load provisions are used only as a representative analytical framework for structuring the numerical example, not as the direct certification basis for eVTOL aircraft. The demonstration illustrates how model-based traceability can clarify relationships among regulatory intent, analytical assumptions, simulation outputs, and verification evidence. The paper concludes that the DCT provides a structured foundation for future digital certification workflows, while recognizing that regulatory acceptance would require program-specific compliance planning, model validation, configuration control, and coordination with the certification authority.","url":"https://doi.org/10.2514/6.2026-4309","authors":["Daniel R. Pleffken","João B. Cavalcanti","Christopher Cerqueira","J. Cavalcanti"],"tags":["Certification","Engineering","Computer science","Process (computing)","Component (thermodynamics)"],"confidence":0.72,"sites":["low-altitude"],"publishedDate":"2026-06-04","addedAt":"2026-08-06T22:48:47.331Z","doi":"10.2514/6.2026-4309","updatedAt":"2026-08-31T14:45:35.251Z"},{"id":"doi:10.2514/6.2025-1538","name":"Infrared-Constellation-Aided Landing of eVTOL Aircraft","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2025-1538","authors":["Aaron Brown","David Akagi","Ian Reid","Jacob Moore","Brandon Sutherland","Tim W. McLain"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-02-12T10:03:43Z","addedAt":"2026-08-06T22:48:47.331Z","doi":"10.2514/6.2025-1538","updatedAt":"2026-08-31T06:39:38.600Z"},{"id":"doi:10.1016/j.apenergy.2024.124567","name":"Refined air-cooled battery sizing process for conceptual design of eVTOL aircraft","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.apenergy.2024.124567","authors":["Junhwi Park","Taemin Jeong","Kwanjung Yee"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-09-25T04:44:30Z","addedAt":"2026-08-06T22:48:47.331Z","doi":"10.1016/j.apenergy.2024.124567","updatedAt":"2026-08-31T06:39:38.600Z"},{"id":"doi:10.4271/2021-01-0041","name":"Pyrofuse Modeling for eVTOL Aircraft DC Protection","source":"crossref","abstract":"&lt;div class=\"section abstract\"&gt;&lt;div class=\"htmlview paragraph\"&gt;Contemporary trends are leading towards the electrification of aircraft for urban mobility applications. Accordingly, there is a high demand for advancements in light-weight, high voltage technologies to realize these new aircraft types. Driven by recent developments in the automotive industry, hybrid Pyrofuse protection devices have emerged as one such new candidate technology. Pyrofuses offer rapid clearance of fault currents, reduced cost and weight when compared to conventional mechanical breakers. In addition, Pyrofuses have the ability to tune the time-current curve to fit the application’s fault response characteristics. However, Pyrofuses are non-resettable devices whose exclusive use for electrical protection could present potential operational hazards and certification challenges in aerospace applications. Model-based analysis will be critical in supporting this evaluation. Accordingly, this paper offers the first complete design methodology to transiently model Pyrofuse operation in MATLAB/Simulink, drawing characteristics from commercially available datasheets. This model is then utilized to undertake an initial protection coordination feasibility study for a candidate eVTOL electrical system architecture, exploring the associated device and system level operational capabilities and limitations. In particular, the results show that the Pyrofuse can offer a good degree of nuisance-tripping resilience against transient events whilst providing quick clearance of short circuit faults.&lt;/div&gt;&lt;/div&gt;","url":"https://doi.org/10.4271/2021-01-0041","authors":["Shadan Altouq","Kenny Fong","Patrick Norman","Graeme Burt"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2021-03-02T05:02:01Z","addedAt":"2026-08-06T22:48:47.331Z","doi":"10.4271/2021-01-0041","updatedAt":"2026-08-31T06:39:38.600Z"},{"id":"doi:10.1109/gpecom61896.2024.10582627","name":"Comprehensive Analysis of Advanced Display and Control Systems for eVTOL Aircraft","source":"openalex","abstract":"This study presents a comprehensive approach for assessing Advanced Display and Control Systems (ADCS) in Electric Vertical Takeoff and Landing (eVTOL) aircraft. Integrating Analytic Hierarchy Process (AHP) modeling with a review of patented technologies using the European Patent Office (EPO) database, Espacenet, the research systematically evaluates ADCS effectiveness, safety, and usability. The AHP model facilitates multi-criteria decision-making from the operator’s point of view, while patent analysis identifies innovative solutions for ADCS design optimization. Findings demonstrate the significance of trajectory planning algorithms, collision avoidance systems, and intuitive user interfaces in enhancing eVTOL operational efficiency and safety. The synergistic integration of AHP analysis and patent review offers engineers and regulatory bodies a robust framework to optimize ADCS design, ensuring safe and efficient eVTOL operations.","url":"https://doi.org/10.1109/gpecom61896.2024.10582627","authors":["Omar Alharasees","Farzad Zolfaghari","Utku Kale"],"tags":["Computer science","Control system","Control (management)","Aeronautics","Engineering"],"confidence":0.72,"sites":["low-altitude"],"publishedDate":"2024-06-04","addedAt":"2026-08-06T22:48:47.331Z","doi":"10.1109/gpecom61896.2024.10582627","updatedAt":"2026-08-31T14:45:35.251Z"},{"id":"doi:10.2514/6.2026-1648","name":"Aeroelastic Stability Assessment of the AMSL Aero Vertiia eVTOL Aircraft","source":"openalex","abstract":"This paper presents the results of the aeroelastic stability analyses performed for the AMSL Aero Vertiia eVTOL aircraft. A comprehensive dynamic model of the aircraft is developed in MATLAB using Reduced-Order Models (ROMs) of the Vertiia subcomponents provided by AMSL Aero. The analyses are conducted in airplane mode under sea-level conditions, incorporating propeller aeromechanical models across selected trim configurations. For all configurations investigated, the primary flutter mechanism is driven by a symmetric mode, involving modal coupling between the front and rear wings. The inclusion of propellers has a stabilizing influence on the aeroelastic response, increasing the flutter speed by 14% relative to the bare-airframe configuration. All predicted flutter speeds remain above the aircraft’s dive speed, thereby satisfying the flutter clearance requirements and confirming asymptotic stability throughout the airplane-mode flight envelope.","url":"https://doi.org/10.2514/6.2026-1648","authors":["Vincenzo Muscarello","Pier Marzocca","Rhys Lehmann","Alfred Swallow","Daniel Linton"],"tags":["Aeroelasticity","Flutter","Propeller","Parametric statistics","MATLAB"],"confidence":0.72,"sites":["low-altitude"],"publishedDate":"2026-01-08","addedAt":"2026-08-06T22:48:47.331Z","doi":"10.2514/6.2026-1648","updatedAt":"2026-08-31T14:45:35.251Z"},{"id":"doi:10.2514/6.2020-2684","name":"An Aeroacoustic Investigation of a Tiltwing eVTOL Concept Aircraft","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2020-2684","authors":["Ross J. Higgins","George N. Barakos","Shahrokh Shahpar","Indi Tristanto"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2020-06-08T21:02:08Z","addedAt":"2026-08-06T22:48:47.331Z","doi":"10.2514/6.2020-2684","updatedAt":"2026-08-31T06:39:38.600Z"},{"id":"doi:10.26678/abcm.cobem2023.cob2023-1641","name":"Design and parameters impact evaluation on the performance of an eVTOL aircraft","source":"openalex","abstract":"","url":"https://doi.org/10.26678/abcm.cobem2023.cob2023-1641","authors":["Gabriel Gomes de Souza","Higor Luis Silva"],"tags":["Computer science","Reliability engineering","Aerospace engineering","Engineering"],"confidence":0.72,"sites":["low-altitude"],"publishedDate":"2024-02-22","addedAt":"2026-08-06T22:48:47.331Z","doi":"10.26678/abcm.cobem2023.cob2023-1641","updatedAt":"2026-08-31T14:45:35.251Z"},{"id":"doi:10.2514/6.2019-3269","name":"Control Optimization of a Novel eVTOL/Pusher Transport Aircraft with Known Faults","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2019-3269","authors":["Collin Carithers","Kenneth Tucker","Maxwell Cobar","Carlos J. Montalvo"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2019-06-15T13:37:16Z","addedAt":"2026-08-06T22:48:47.331Z","doi":"10.2514/6.2019-3269","updatedAt":"2026-08-31T06:39:38.600Z"},{"id":"doi:10.2514/6.2022-1331","name":"Preliminary aerodynamic design and load calculation of a long-range eVTOL aircraft","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2022-1331","authors":["Noah S. López","Alejandro M. Santamaría","Saullo G. Castro"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2022-01-04T05:30:49Z","addedAt":"2026-08-06T22:48:47.331Z","doi":"10.2514/6.2022-1331","updatedAt":"2026-08-31T06:39:38.600Z"},{"id":"doi:10.1038/s41598-026-54743-2","name":"How stakeholder requirements constrain drone-based medical delivery: probabilistic sizing of eVTOL aircraft at high altitude.","source":"europepmc","abstract":"Abstract Drone-based medical delivery can overcome geographic barriers to healthcare in highland regions, but designing aircraft for this mission requires navigating uncertainty that originates outside engineering: physicians define cold-chain requirements, regulators mandate safety systems, and health planners set delivery speed targets, each imposing design penalties whose magnitudes are uncertain. No existing aircraft sizing framework propagates this requirement-origin uncertainty alongside classical technological uncertainty. Here we introduce Requirement Impact Kits (RIKs)—composable modules with uncertain engineering coefficients—within a three-level probabilistic framework that distinguishes requirement-scenario, engineering-translation, and parameter-level uncertainty. Applied to eVTOL medical delivery at 2,800 m altitude in the Quito Metropolitan District, comparing Lift+Cruise, Tilt-Rotor, and Multirotor architectures, the framework reveals that stakeholder decisions dominate the design space: demanding urgent delivery reduces aircraft feasibility by 24 percentage points—four times the impact of adding cold-chain thermal management. Sobol sensitivity decomposition shows that 98% of parameter-level variance is epistemic and reducible through rotor testing, while battery energy density contributes less than 2%. The Lift+Cruise architecture achieves the highest robustness, and an altitude–cruise speed feasibility map provides health system planners with a quantitative tool for negotiating delivery time requirements against operational reliability.","url":"https://doi.org/10.1038/s41598-026-54743-2","authors":["Victor Alulema","Gloria Acosta-Vargas","Cesar Guevara","Patricia Acosta-Vargas"],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:47.331Z","doi":"10.1038/s41598-026-54743-2","updatedAt":"2026-08-31T06:39:39.468Z"},{"id":"doi:10.1038/s41598-025-04936-y","name":"Research on the aerodynamic characteristics of eVTOL aircraft ducted rotor tip embedded inside the ducted body.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41598-025-04936-y","authors":["Siliang Du","Yi Zha","Chong Li","Zhiming Lu","Qijun Zhao"],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","addedAt":"2026-08-06T22:48:47.331Z","doi":"10.1038/s41598-025-04936-y","updatedAt":"2026-08-31T06:39:39.325Z"},{"id":"doi:10.1016/j.heliyon.2024.e37970","name":"Study on the evaluation method of pilot workload in eVTOL aircraft operation.","source":"europepmc","abstract":"","url":"https://doi.org/10.1016/j.heliyon.2024.e37970","authors":["Lijuan Hu","Xufei Yan","Ye Yuan"],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2024","addedAt":"2026-08-06T22:48:47.331Z","doi":"10.1016/j.heliyon.2024.e37970","updatedAt":"2026-08-31T06:39:39.325Z"},{"id":"doi:10.20944/preprints202607.1704.v1","name":"Coordinated Optimization of Inter-Hub eVTOL Feeder Services with Heterogeneous Passenger Behavior","source":"europepmc","abstract":"Inter-hub feeder service is a promising application for electric vertical takeoff and landing aircraft (eVTOL), especially when passengers must connect to subsequent flights under tight time constraints. This study develops an optimization framework that accounts for heterogeneous passenger behavior. Based on a stated-preference survey, we introduce delay-risk perception under remaining connection time constraints into passenger utility, identify heterogeneous preference classes, and formulate a bilevel optimization model. The upper level selects eVTOL schedules under given resource and fare configurations, while the lower level captures the stochastic user equilibrium of heterogeneous passengers competing across eVTOL and external transport alternatives. To solve the resulting mixed-integer nonlinear bilevel problem, we propose a Neural Bilevel Optimization and generalized Benders decomposition (Neur2BiLO-GBD) hybrid algorithm. Numerical experiments for the Shanghai Hongqiao-Pudong inter-hub transfer corridor show that the profit-maximizing operating plan generates positive social net utility of the feeder system under the baseline setting. Fleet size, charging infrastructure, and fare levels affect operator profit and social net utility differently, and their high-value regions do not fully coincide across operating scenarios. When external transport faces larger potential delays and remaining connection time is short, eVTOL is more likely to achieve both high operator profit and high social net utility.","url":"https://doi.org/10.20944/preprints202607.1704.v1","authors":["De Zhao","Runze Mou","Shengpeng You","Shaobin Huang","Dongmei Liu","Zhixiang Xu"],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:47.331Z","doi":"10.20944/preprints202607.1704.v1","updatedAt":"2026-08-31T06:39:39.468Z"},{"id":"doi:10.1121/10.0044421","name":"Aeroacoustic characterization of rotor-wing interaction noise in Lift+Cruise vertical takeoff and landing aircraft.","source":"europepmc","abstract":"","url":"https://doi.org/10.1121/10.0044421","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:47.331Z","doi":"10.1121/10.0044421","updatedAt":"2026-08-31T06:39:39.468Z"},{"id":"doi:10.21203/rs.3.rs-8964483/v1","name":"Development of a framework for the thermal modeling of an eVTOL","source":"europepmc","abstract":"Abstract The vision of eVTOLs (electric vertical take-off and landing vehicles) aims to transport individuals autonomously in urban areas using electrically powered aircraft. The efficiency, and thus the operational range of these aircraft, is crucial for market introduction. However, battery capacity is limited, necessitating effective thermal management for power electronics, drive components, and cabin climatization. This project focuses on optimizing the thermal management of the overall architecture of an eVTOL to enhance efficiency and performance. The developed framework for thermal modeling enables simulation-based optimizations. The modeling structure considers components as well as the overall thermal system of an eVTOL. This framework includes detailed models of the cabin, cockpit, avionics bays, and battery zones, analyzing their specific thermal properties and interactions with one another. Various cooling strategies, including air and liquid circuits, are evaluated to meet the requirements for both indoor air quality and system components. Our findings indicate that increasing ventilation mass flows can significantly enhance thermal passenger comfort, thus meeting comfort requirements. Energy consumption analysis shows that compressor efficiency is critical for overall system performance. Optimizing the temperature difference between the evaporator and condenser can lead to reduced energy demand. This research highlights the necessity for an integrated thermal management approach in eVTOL design, paving the way for future experimental validation and optimization efforts.","url":"https://doi.org/10.21203/rs.3.rs-8964483/v1","authors":["Christina Matheis","Victor Norrefeldt"],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:47.331Z","doi":"10.21203/rs.3.rs-8964483/v1","updatedAt":"2026-08-31T06:39:39.468Z"},{"id":"doi:10.1093/nsr/nwag208","name":"Low-altitude economy: next frontier in spatial exploration and economic development.","source":"europepmc","abstract":"","url":"https://doi.org/10.1093/nsr/nwag208","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:47.331Z","doi":"10.1093/nsr/nwag208","updatedAt":"2026-08-31T06:39:39.468Z"},{"id":"doi:10.22541/au.176722210.05496848/v1","name":"Collaborative Optimization of Battery Charging / Swapping Stations for eVTOLs Based on Closed-Loop Supply Chain and Space-Time Network","source":"europepmc","abstract":"","url":"https://doi.org/10.22541/au.176722210.05496848/v1","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","addedAt":"2026-08-06T22:48:47.331Z","doi":"10.22541/au.176722210.05496848/v1","updatedAt":"2026-08-31T06:39:37.915Z"},{"id":"doi:10.1002/anie.5057887","name":"Elucidating the Origin of Intensified Thermal Safety Concerns of Practical Next-Generation High-Energy-Density Li-Ion Batteries.","source":"europepmc","abstract":"","url":"https://doi.org/10.1002/anie.5057887","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:47.331Z","doi":"10.1002/anie.5057887","updatedAt":"2026-08-31T06:39:39.468Z"},{"id":"doi:10.3390/s25185672","name":"Research on LiDAR-Assisted Optimization Algorithm for Terrain-Aided Navigation of eVTOL.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s25185672","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","addedAt":"2026-08-06T22:48:47.331Z","doi":"10.3390/s25185672","updatedAt":"2026-08-31T06:39:39.325Z"},{"id":"doi:10.20944/preprints202508.1804.v1","name":"Simulation Study on Electromagnetic Response and Cable Coupling Characteristics of eVTOL under Lightning Environment","source":"europepmc","abstract":"This study employs CST simulations to analyze the electromagnetic response and cable coupling characteristics of electric vertical takeoff and landing (eVTOL) aircraft under lightning conditions. Based on the SAE ARP5414B standard, lightning zoning was carried out, and three typical strike scenarios—the nose, wing, and vertical tail—were established. Referring to representative lightning current waveforms in SAE ARP5412B, Component A was selected as the primary excitation source. On this basis, the L9(3³) orthogonal design method was applied to evaluate the influence of cable structure, length, and routing method on induced current. The results show that lightning strikes at the nose have the strongest coupling effect on the airframe, with both electric and magnetic fields exhibiting significant spatial distribution. Shielded cables effectively reduce induced current in the conductor core by diverting most of the coupled current through the shielding layer, while unshielded single-core cables demonstrate the weakest resistance to interference. Induced current increases with cable length, and Z-shaped wall-mounted routing produces stronger coupling than straight or suspended routing. This research provides a systematic approach for evaluating indirect lightning effects in eVTOL and offers engineering guidance for electromagnetic protection and cable design.","url":"https://doi.org/10.20944/preprints202508.1804.v1","authors":["Hangyu Chen","Xin Li","Chao Zhou","Yifang Tan","Yizhi Shen"],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","addedAt":"2026-08-06T22:48:47.331Z","doi":"10.20944/preprints202508.1804.v1","updatedAt":"2026-08-31T06:39:37.915Z"},{"id":"doi:10.1121/10.0039054","name":"Optimal passive metamaterial selection for electric-Vertical-Take-Off-and-Landing aircraft: A filtering concepta).","source":"europepmc","abstract":"","url":"https://doi.org/10.1121/10.0039054","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","addedAt":"2026-08-06T22:48:47.331Z","doi":"10.1121/10.0039054","updatedAt":"2026-08-31T06:39:37.915Z"},{"id":"doi:10.20944/preprints202511.0841.v1","name":"Evaluating UAM-Wildlife Collision Prevention Efficacy with Fast-Time Simulations","source":"europepmc","abstract":"","url":"https://doi.org/10.20944/preprints202511.0841.v1","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","addedAt":"2026-08-06T22:48:47.331Z","doi":"10.20944/preprints202511.0841.v1","updatedAt":"2026-08-31T06:39:54.186Z"},{"id":"doi:10.1016/j.fmre.2025.04.002","name":"Adopting electric vertical takeoff and landing aircraft for green transport transformation.","source":"europepmc","abstract":"","url":"https://doi.org/10.1016/j.fmre.2025.04.002","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:47.331Z","doi":"10.1016/j.fmre.2025.04.002","updatedAt":"2026-08-31T06:39:39.468Z"},{"id":"doi:10.1016/j.heliyon.2024.e41055","name":"Development and challenges of autonomous electric vertical take-off and landing aircraft.","source":"europepmc","abstract":"","url":"https://doi.org/10.1016/j.heliyon.2024.e41055","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","addedAt":"2026-08-06T22:48:47.331Z","doi":"10.1016/j.heliyon.2024.e41055","updatedAt":"2026-08-31T06:39:39.325Z"},{"id":"doi:10.3390/s26072058","name":"An Enhanced Event-Based Model for Integrated Flight Safety of Fixed-Wing UAVs.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s26072058","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:47.331Z","doi":"10.3390/s26072058","updatedAt":"2026-08-31T06:40:09.764Z"},{"id":"doi:10.3390/s25247419","name":"Robust Navigation in Multipath Environments Using GNSS/UWB/INS Integration with Anchor Position Estimation Toward eVTOL Operations.","source":"europepmc","abstract":"Emerging technologies such as urban air mobility and autonomous vehicles increasingly rely on Global Navigation Satellite Systems (GNSS) for accurate positioning. However, GNSS alone suffers from severe degradation in complex environments, particularly due to multipath effects caused by reflections from surrounding structures. These effects distort pseudo-range measurements and, in combination with signal attenuation and blockage, lead to significant positioning errors. To address this challenge, this study proposes a loosely integrated navigation framework that combines GNSS, ultra-wideband (UWB), and inertial navigation system (INS) data. UWB enables high-precision ranging, and we further extend its application to estimate the locations of UWB anchors themselves. This approach alleviates a major technical limitation of UWB systems, which typically require anchor positions near buildings to be precisely surveyed beforehand. Field experiments were conducted in multipath-prone outdoor environments using a drone equipped with GNSS, UWB, and INS sensors. The results demonstrate that the proposed GNSS/UWB/INS integration reduces positioning errors by up to approximately 90% compared with GNSS/INS integration. Moreover, in areas surrounded by UWB anchors (UWB-Anchored Area), submeter-level positioning accuracy was achieved. These findings highlight the robustness of the proposed method against multipath interference and its potential to overcome anchor-dependency issues, thereby contributing to safe and reliable navigation solutions for future urban applications such as eVTOL operations.","url":"https://doi.org/10.3390/s25247419","authors":["Atsushi Osaka","Toshiaki Tsujii"],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","addedAt":"2026-08-06T22:48:47.331Z","doi":"10.3390/s25247419","updatedAt":"2026-08-31T14:45:35.252Z"},{"id":"doi:10.3390/s25247534","name":"A Two-Stage Framework for Sensor Selection and Geolocation for eVTOL Emergency Localization Using HF Skywaves.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s25247534","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","addedAt":"2026-08-06T22:48:47.331Z","doi":"10.3390/s25247534","updatedAt":"2026-08-31T06:39:39.468Z"},{"id":"doi:10.1121/10.0036571","name":"Effect of tip Mach number on propeller noise in edgewise flighta).","source":"europepmc","abstract":"","url":"https://doi.org/10.1121/10.0036571","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","addedAt":"2026-08-06T22:48:47.331Z","doi":"10.1121/10.0036571","updatedAt":"2026-08-31T06:39:37.915Z"},{"id":"doi:10.1038/s41598-026-39328-3","name":"Safety boundary protection control for distributed propulsion vehicle operating in plateau environment.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41598-026-39328-3","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:47.331Z","doi":"10.1038/s41598-026-39328-3","updatedAt":"2026-08-31T06:39:39.468Z"},{"id":"doi:10.20944/preprints202409.2177.v1","name":"An Objective Handling Qualities Assessment Framework of Electric Vertical Takeoff and Landing","source":"europepmc","abstract":"","url":"https://doi.org/10.20944/preprints202409.2177.v1","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2024","addedAt":"2026-08-06T22:48:47.331Z","doi":"10.20944/preprints202409.2177.v1","updatedAt":"2026-08-31T06:39:50.412Z"},{"id":"doi:10.1186/s13049-025-01506-z","name":"Retrospective analysis of characteristics and transfer times of helicopter interhospital transfer of stroke patients: balancing air and ground transport efficiency.","source":"europepmc","abstract":"","url":"https://doi.org/10.1186/s13049-025-01506-z","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","addedAt":"2026-08-06T22:48:47.331Z","doi":"10.1186/s13049-025-01506-z","updatedAt":"2026-08-31T06:39:37.915Z"},{"id":"doi:10.21203/rs.3.rs-6340019/v1","name":"Automated Parameter Optimization of an Incremental Inversion Controller Considering Robustness Requirements","source":"europepmc","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-6340019/v1","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","addedAt":"2026-08-06T22:48:47.331Z","doi":"10.21203/rs.3.rs-6340019/v1","updatedAt":"2026-08-31T06:39:37.915Z"},{"id":"doi:10.21203/rs.3.rs-4265983/v1","name":"Automating adjoint sensitivity analysis for multidisciplinary models involving partial differential equations","source":"europepmc","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-4265983/v1","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2024","addedAt":"2026-08-06T22:48:47.331Z","doi":"10.21203/rs.3.rs-4265983/v1","updatedAt":"2026-08-31T06:39:37.915Z"},{"id":"doi:10.3390/ma18143371","name":"Four-Dimensional-Printed Woven Metamaterials for Vibration Reduction and Energy Absorption in Aircraft Landing Gear.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/ma18143371","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","addedAt":"2026-08-06T22:48:47.331Z","doi":"10.3390/ma18143371","updatedAt":"2026-08-31T06:39:39.325Z"},{"id":"doi:10.1007/s00366-024-01947-7","name":"Automated shape and thickness optimization for non-matching isogeometric shells using free-form deformation.","source":"europepmc","abstract":"","url":"https://doi.org/10.1007/s00366-024-01947-7","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2024","addedAt":"2026-08-06T22:48:47.331Z","doi":"10.1007/s00366-024-01947-7","updatedAt":"2026-08-31T06:39:39.468Z"},{"id":"doi:10.1038/s41598-024-82876-9","name":"Porous ground treatments for propeller noise reduction in ground effect.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41598-024-82876-9","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","addedAt":"2026-08-06T22:48:47.331Z","doi":"10.1038/s41598-024-82876-9","updatedAt":"2026-08-31T06:39:39.325Z"},{"id":"doi:10.1038/s41598-025-25903-7","name":"Robust trajectory maneuvering of VTOL aircraft using higher-order sliding mode control (HOSMC).","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41598-025-25903-7","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","addedAt":"2026-08-06T22:48:47.331Z","doi":"10.1038/s41598-025-25903-7","updatedAt":"2026-08-31T06:39:54.186Z"},{"id":"doi:10.1021/acsenergylett.3c02385","name":"Lithium-Ion Battery Power Performance Assessment for the Climb Step of an Electric Vertical Takeoff and Landing (eVTOL) Application.","source":"europepmc","abstract":"","url":"https://doi.org/10.1021/acsenergylett.3c02385","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2024","addedAt":"2026-08-06T22:48:47.331Z","doi":"10.1021/acsenergylett.3c02385","updatedAt":"2026-08-31T06:39:37.915Z"},{"id":"doi:10.1038/s41598-026-39957-8","name":"New energy vehicle fault identification based on improved activation functions and parameter-free attention mechanisms.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41598-026-39957-8","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:47.331Z","doi":"10.1038/s41598-026-39957-8","updatedAt":"2026-08-31T06:39:39.468Z"},{"id":"doi:10.1038/s41597-023-02180-5","name":"A battery dataset for electric vertical takeoff and landing aircraft.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41597-023-02180-5","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2023","addedAt":"2026-08-06T22:48:47.331Z","doi":"10.1038/s41597-023-02180-5","updatedAt":"2026-08-31T06:39:37.915Z"},{"id":"doi:10.1038/s41598-024-81045-2","name":"Evaluation of the advanced air mobility potential for organ transplantation in Austria and Germany.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41598-024-81045-2","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2024","addedAt":"2026-08-06T22:48:47.331Z","doi":"10.1038/s41598-024-81045-2","updatedAt":"2026-08-31T06:39:39.468Z"},{"id":"doi:10.21203/rs.3.rs-4166273/v1","name":"Fixed-time composite observer-based adaptive recursive sliding mode control for tiltrotor UAV attitude tracking","source":"europepmc","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-4166273/v1","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2024","addedAt":"2026-08-06T22:48:47.331Z","doi":"10.21203/rs.3.rs-4166273/v1","updatedAt":"2026-08-31T06:39:57.918Z"},{"id":"doi:10.1111/ctr.70398","name":"Drone-Assisted Organ Transport: A Scoping Review of Clinical, Regulatory, and System Readiness.","source":"europepmc","abstract":"","url":"https://doi.org/10.1111/ctr.70398","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","addedAt":"2026-08-06T22:48:47.331Z","doi":"10.1111/ctr.70398","updatedAt":"2026-08-31T06:40:00.189Z"},{"id":"doi:10.1016/j.xinn.2023.100392","name":"Urban aerial mobility: Reshaping the future of urban transportation.","source":"europepmc","abstract":"","url":"https://doi.org/10.1016/j.xinn.2023.100392","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2023","addedAt":"2026-08-06T22:48:47.331Z","doi":"10.1016/j.xinn.2023.100392","updatedAt":"2026-08-31T06:39:37.915Z"},{"id":"doi:10.1038/s44172-026-00612-9","name":"Bridging spatial and temporal surface pressure dynamics for gust aerodynamic modeling.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s44172-026-00612-9","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:47.331Z","doi":"10.1038/s44172-026-00612-9","updatedAt":"2026-08-31T06:39:39.468Z"},{"id":"doi:10.21203/rs.3.rs-2027573/v1","name":"Takeoff simulation of eVTOL airplane with coaxial propellers by fluid–rigid body interaction","source":"europepmc","abstract":"Abstract In this study, we adopt the coupled fluid–rigid body simulation using the moving computational domain method and the multi–axis sliding mesh method to the takeoff, hovering, and yawing flight of electric vertical takeoff and landing aircraft. The aircraft model has four pairs of coaxial propellers, and the computational domain is divided into three domains to move the aircraft and eight propeller domains to rotate the propellers. As a result, we clarify the behavior and aerodynamic force of the aircraft when the input values are determined by the automatic control. The results in the flow field also show that the downwash spreads in a crisscross pattern on the ground, that the wind reaches different ranges on the ground depending on the flight altitude, and that the coaxial propeller causes a asymmetry in the velocity field during yawing. Consequently, we conclude that this method is effective for the flight simulation of electric vertical takeoff and landing aircraft.","url":"https://doi.org/10.21203/rs.3.rs-2027573/v1","authors":["Ritsuka Gomi","Ayato Takii","Masashi Yamakawa","Shinichi Asao","Seiichi Takeuchi","Momoha Nishimura"],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2022","addedAt":"2026-08-06T22:48:47.331Z","doi":"10.21203/rs.3.rs-2027573/v1","updatedAt":"2026-08-31T06:39:38.731Z"},{"id":"doi:10.1038/s41598-024-68927-1","name":"Numerical simulation of the transition flight aerodynamics of cross-shaped quad-tiltrotor UAV.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41598-024-68927-1","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2024","addedAt":"2026-08-06T22:48:47.331Z","doi":"10.1038/s41598-024-68927-1","updatedAt":"2026-08-31T06:39:37.915Z"},{"id":"doi:10.1186/s13049-023-01087-9","name":"Green HEMS: how to make it happen.","source":"europepmc","abstract":"","url":"https://doi.org/10.1186/s13049-023-01087-9","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2023","addedAt":"2026-08-06T22:48:47.331Z","doi":"10.1186/s13049-023-01087-9","updatedAt":"2026-08-31T06:39:37.915Z"},{"id":"doi:10.1038/s41598-025-25824-5","name":"Safety design of aviation propulsion lithium-ion battery systems based on thermal runaway explosion index.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41598-025-25824-5","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","addedAt":"2026-08-06T22:48:47.331Z","doi":"10.1038/s41598-025-25824-5","updatedAt":"2026-08-31T06:39:37.915Z"},{"id":"doi:10.1073/pnas.2111164118","name":"The promise of energy-efficient battery-powered urban aircraft.","source":"pubmed","abstract":"Improvements in rechargeable batteries are enabling several electric urban air mobility (UAM) aircraft designs with up to 300 mi of range with payload equivalents of up to seven passengers. Novel UAM aircraft consume between 130 Wh/passenger-mi and &#x223c; 1,200 Wh/passenger-mi depending on the design and utilization, compared to an expected consumption of over 220 Wh/passenger-mi and 1,000 Wh/passenger-mi for terrestrial electric vehicles and combustion engine vehicles, respectively. We also find that several UAM aircraft designs are approaching technological viability with current Li-ion batteries, based on the specific power and energy, while rechargeability and lifetime performance remain uncertain. These aspects highlight the technological readiness of a new segment of transportation.","url":"https://doi.org/10.1073/pnas.2111164118","authors":["Sripad S","Viswanathan V"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2021","addedAt":"2026-08-06T22:48:47.331Z","doi":"10.1073/pnas.2111164118","updatedAt":"2026-08-31T06:39:43.695Z"},{"id":"doi:10.1038/s44384-025-00010-z","name":"Aeroacoustics and psychoacoustics characterization of a boundary layer ingesting ducted fan.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s44384-025-00010-z","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","addedAt":"2026-08-06T22:48:47.331Z","doi":"10.1038/s44384-025-00010-z","updatedAt":"2026-08-31T06:39:39.325Z"},{"id":"doi:10.3390/s23010417","name":"Estimation of Airflow Parameters for Tail-Sitter UAV through a 5-Hole Probe Based on an ANN.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s23010417","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2022","addedAt":"2026-08-06T22:48:47.331Z","doi":"10.3390/s23010417","updatedAt":"2026-08-31T06:39:39.325Z"},{"id":"doi:10.1007/s00113-021-01095-3","name":"Medical drones: Disruptive technology makes the future happen.","source":"europepmc","abstract":"","url":"https://doi.org/10.1007/s00113-021-01095-3","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2021","addedAt":"2026-08-06T22:48:47.331Z","doi":"10.1007/s00113-021-01095-3","updatedAt":"2026-08-31T06:39:39.325Z"},{"id":"doi:10.21203/rs.3.rs-1218578/v2","name":"The Applicability of eVTOLs in Emergency Medical Care in Japan","source":"europepmc","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-1218578/v2","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2022","addedAt":"2026-08-06T22:48:47.331Z","doi":"10.21203/rs.3.rs-1218578/v2","updatedAt":"2026-08-31T06:39:37.915Z"},{"id":"doi:10.3390/s25216751","name":"Secure and Intelligent Low-Altitude Infrastructures: Synergistic Integration of IoT Networks, AI Decision-Making and Blockchain Trust Mechanisms.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s25216751","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","addedAt":"2026-08-06T22:48:47.331Z","doi":"10.3390/s25216751","updatedAt":"2026-08-31T06:40:08.031Z"},{"id":"doi:10.3390/s25103075","name":"Risk Assessment of Hydrogen-Powered Aircraft: An Integrated HAZOP and Fuzzy Dynamic Bayesian Network Framework.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s25103075","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","addedAt":"2026-08-06T22:48:47.331Z","doi":"10.3390/s25103075","updatedAt":"2026-08-31T06:39:39.325Z"},{"id":"doi:10.3390/s22186875","name":"Security and Safety Concerns in Air Taxis: A Systematic Literature Review.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s22186875","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2022","addedAt":"2026-08-06T22:48:47.331Z","doi":"10.3390/s22186875","updatedAt":"2026-08-31T06:39:39.325Z"},{"id":"doi:10.1007/s13272-021-00544-4","name":"Determining infrastructure requirements for an air taxi service at Cologne Bonn Airport.","source":"pubmed","abstract":"The worldwide increasing population density in major urban centres poses great challenges for transportation systems. Air taxi services could be a solution to this growing problem by bringing the existing transportation system to the three dimensional space. This paper analyzes the challenges and requirements of developing a vertiport intended for the use of air taxis at Cologne Bonn Airport. This research was conducted with the information available at the time of writing, for which a basis scenario is defined for the Cologne Bonn Airport where important aspects of an air taxi service are determined such as passenger demand and possible vehicles. The main aspects analysed were the requirements on the vertiport infrastructure and its location, as well as the requirements on passenger processing. For the defined basis scenario, results show that the preferential locations to develop a vertiport at Cologne Bonn Airport are the roof top levels of parking garages P2 and P3 . Furthermore, it is shown that given the estimated passenger demand, a very high utilization factor of the defined infrastructure is to be expected. This paper provides a starting point for the development of an air taxi service at Cologne Bonn Airport. Further research is needed in key issues such as the financial aspects of an air taxi service, its integration into the current operating scenario of the Cologne Bonn Airport and the approval process for an air taxi service and the vertiport itself.","url":"https://doi.org/10.1007/s13272-021-00544-4","authors":["Feldhoff E","Soares Roque G"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2021","addedAt":"2026-08-06T22:48:47.331Z","doi":"10.1007/s13272-021-00544-4","updatedAt":"2026-08-31T06:39:43.695Z"},{"id":"doi:10.3390/s23041954","name":"Observer-Based Optimal Control of a Quadplane with Active Wind Disturbance and Actuator Fault Rejection.","source":"pubmed","abstract":"Hybrid aircraft configurations with combined cruise and vertical flight capabilities are increasingly being considered for unmanned aircraft and urban air mobility missions. To ensure the safety and autonomy of such missions, control challenges including fault tolerance and windy conditions must be addressed. This paper presents an observer-based optimal control approach for the active combined fault and wind disturbance rejection, with application to a quadplane unmanned aerial vehicle. The quadplane model is linearised for the longitudinal plane, vertical takeoff and landing and transition modes. Wind gusts are modelled using a Dryden turbulence model. An unknown input observer is first developed for the estimation of wind disturbance by defining an auxiliary variable that emulates body referenced accelerations. The approach is then extended to simultaneous rejection of intermittent elevator faults and wind disturbance velocities. Estimation error is mathematically proven to converge to zero, assuming a piecewise constant disturbance. A numerical simulation analysis demonstrates that for a typical quadplane flight profile at 100 m altitude, the observer-based wind gust and fault correction significantly enhances trajectory tracking accuracy compared to a linear quadratic regulator and to a H-infinity controller, which are both taken, without loss of generality, as benchmark controllers to be enhanced. This is done by adding wind and fault compensation terms to the controller with admissible control effort. The proposed observer is also shown to enhance accuracy and observer-based rejection of disturbances and faults compared to three alternative observers, based on output error integration, acceleration feedback and a sliding mode observer, respectively. The proposed approach is particularly efficient for the active rejection of actuator faults under windy conditions.","url":"https://doi.org/10.3390/s23041954","authors":["Zyadat Z","Horri N","Innocente M","Statheros T"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2023","addedAt":"2026-08-06T22:48:47.331Z","doi":"10.3390/s23041954","updatedAt":"2026-08-31T06:39:43.695Z"},{"id":"doi:10.1021/acsomega.5c11152","name":"Low-Temperature Prediction in Commercial Lithium-Ion Batteries during Dynamic Usage via Enhanced Physics-Informed Neural Networks.","source":"europepmc","abstract":"","url":"https://doi.org/10.1021/acsomega.5c11152","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:47.331Z","doi":"10.1021/acsomega.5c11152","updatedAt":"2026-08-31T06:39:39.468Z"},{"id":"doi:10.3390/s25041255","name":"Technological Progress Toward Peanut Disease Management: A Review.","source":"pubmed","abstract":"Peanut ( Arachis hypogea L.) crops in the southeastern U.S. suffer significant yield losses from diseases like leaf spot, southern blight, and stem rot. Traditionally, growers use conventional boom sprayers, which often leads to overuse and wastage of agrochemicals. However, advances in computer technologies have enabled the development of precision or variable-rate sprayers, both ground-based and drone-based, that apply agrochemicals more accurately. Historically, crop disease scouting has been labor-intensive and costly. Recent innovations in computer vision, artificial intelligence (AI), and remote sensing have transformed disease identification and scouting, making the process more efficient and economical. Over the past decade, numerous studies have focused on developing technologies for peanut disease scouting and sprayer technology. The current research trend shows significant advancements in precision spraying technologies, facilitating smart spraying capabilities. These advancements include the use of various platforms, such as ground-based and unmanned aerial vehicle (UAV)-based systems, equipped with sensors like RGB (red-blue-green), multispectral, thermal, hyperspectral, light detection and ranging (LiDAR), and other innovative detection technologies, as highlighted in this review. However, despite the availability of some commercial precision sprayers, their effectiveness is limited in managing certain peanut diseases, such as white mold, because the disease affects the roots, and the chemicals often remain in the canopy, failing to reach the soil where treatment is needed. The review concludes that further advances are necessary to develop more precise sprayers that can meet the needs of large-scale farmers and significantly enhance production outcomes. Overall, this review paper aims to provide a review of smart spraying techniques, estimating the required agrochemicals and applying them precisely in peanut fields.","url":"https://doi.org/10.3390/s25041255","authors":["Asif M","Rayamajhi A","Mahmud MS"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025","addedAt":"2026-08-06T22:48:47.331Z","doi":"10.3390/s25041255","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"doi:10.1016/j.xinn.2023.100393","name":"Urban aerial mobility: Network structure, transportation benefits, and Sino-US comparison.","source":"europepmc","abstract":"Large cities worldwide suffer from traffic congestion, leading to huge economic, social, and environmental costs.1Zhang L. Zeng G. Li D. et al.Scale-free resilience of real traffic jams.Proc. Natl. Acad. Sci. USA. 2019; 116: 8673-8678Crossref PubMed Scopus (84) Google Scholar Various measures have been taken, spanning congestion pricing, public transportation promotion, high-occupancy driving lanes, and road space rationing to recent on-demand ride-sharing models, etc.2Hanna R. Kreindler G. Olken B.A. Citywide effects of high-occupancy vehicle restrictions: evidence from “three-in-one” in Jakarta.Science. 2017; 357: 89-93Crossref PubMed Scopus (32) Google Scholar,3Vazifeh M.M. Santi P. Resta G. et al.Addressing the minimum fleet problem in on-demand urban mobility.Nature. 2018; 557: 534-538Crossref PubMed Scopus (211) Google Scholar,4Eliasson J. Efficient transport pricing–why, what, and when?.Commun. Trans. Res. 2021; 1: 100006Crossref Scopus (24) Google Scholar However, none of them can solve this inherent problem due to the asymmetry between transport infrastructure and dynamic travel demand. Opportunities to expand road capacity are rare, but an emerging on-demand transportation mode, urban aerial mobility (UAM), is unlocking tremendous traffic capacity in the urban low-altitude space, leading to a perfect solution to traffic congestion.5McKinsey & CompanyThe future of air mobility: electric aircraft and flying taxis.https://www.mckinsey.com/featured-insights/the-next-normal/air-taxisDate: 2022Google Scholar The rise of UAM is thanks to the recent developments of electric vertical-takeoff-and-landing (eVTOL) vehicles. These vehicles leverage the infrastructure of vertiports for takeoff and landing and are coupled with ground vehicles to provide commuting services, where ground vehicles offer first-mile and last-mile travels to and from vertiports, and eVTOLs are used to commute between vertiports.6Kai W. Jacquillat A. Vaze V. Vertiport planning for urban aerial mobility: an adaptive discretization approach.Manuf. Serv. Oper. Manag. 2022; 24: 3215-3235Crossref Scopus (1) Google Scholar The whole UAM industry is expecting a bright future, but there is a lack of systematic understanding of it. Specifically, what would be the network structure of UAM in cities? What are the transportation benefits of UAM? How does UAM affect traffic congestion? These questions will be fundamental for stakeholders to invest in UAM, for city authorities to promote UAM as a new commuting option, for regulation makers and UAM operators to plan for the deployment, etc. To fully understand UAM, the first step is to deploy the vertiport network since it constitutes the foundation of UAM, and the next is to investigate UAM operations and the potential demands for interpreting the transportation benefits of UAM. Specifically, inside a metropolitan area, how do we select the locations of vertiports to support UAM operations? Built upon a UAM network, what would be the interactions between the supply side of UAM operations and the demand side of passengers’ adoption? Once we have the UAM network and the interactions between supply and demand, we can proceed to interpret the UAM system. Here, we leverage the integrated UAM planning model proposed by Wang et al.6Kai W. Jacquillat A. Vaze V. Vertiport planning for urban aerial mobility: an adaptive discretization approach.Manuf. Serv. Oper. Manag. 2022; 24: 3215-3235Crossref Scopus (1) Google Scholar We investigate the UAM systems of major metropolitan areas or cities in the US and China to have a systematic understanding of UAM and to make comparisons. At a city or a metropolitan area level, the physical existence of a UAM system lies in the network of vertiports that constitutes the foundation of UAM operations. Figure 1A shows the networks of four representative metropolitan areas or cities in the US and China, respectively. In general, a UAM network is a hub-and-spoke network structure where flying by e","url":"https://doi.org/10.1016/j.xinn.2023.100393","authors":["Kai Wang","Aoyong Li","Xiaobo Qu"],"tags":["Transport engineering","Aerial imagery","Business","Geography","Engineering"],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2023","addedAt":"2026-08-06T22:48:47.331Z","doi":"10.1016/j.xinn.2023.100393","updatedAt":"2026-08-31T14:45:35.251Z"},{"id":"doi:10.3390/s24154842","name":"Research on the Collision Risk of Fusion Operation of Manned Aircraft and Unmanned Aircraft at Zigong Airport.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s24154842","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2024","addedAt":"2026-08-06T22:48:47.331Z","doi":"10.3390/s24154842","updatedAt":"2026-08-31T06:39:39.325Z"},{"id":"doi:10.3390/s24030803","name":"Designing a Surveillance Sensor Network with Information Clearinghouse for Advanced Air Mobility.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s24030803","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2024","addedAt":"2026-08-06T22:48:47.331Z","doi":"10.3390/s24030803","updatedAt":"2026-08-31T06:39:39.326Z"},{"id":"doi:10.1038/s41598-025-16347-0","name":"A hybrid MARL clustering framework for real time open pit mine truck scheduling.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41598-025-16347-0","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","addedAt":"2026-08-06T22:48:47.331Z","doi":"10.1038/s41598-025-16347-0","updatedAt":"2026-08-31T06:39:37.915Z"},{"id":"doi:10.2139/ssrn.3964068","name":"Planepooling and Air Taxis for Post-COVID Aviation","source":"europepmc","abstract":"","url":"https://doi.org/10.2139/ssrn.3964068","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2021","addedAt":"2026-08-06T22:48:47.331Z","doi":"10.2139/ssrn.3964068","updatedAt":"2026-08-31T06:39:57.842Z"},{"id":"doi:10.1063/5.0023771","name":"Kinetics of lithium electrodeposition and stripping.","source":"europepmc","abstract":"","url":"https://doi.org/10.1063/5.0023771","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2020","addedAt":"2026-08-06T22:48:47.331Z","doi":"10.1063/5.0023771","updatedAt":"2026-08-31T06:39:37.915Z"},{"id":"doi:10.26434/chemrxiv.12616169.v1","name":"Universal Battery Performance and Degradation Model for Electric Aircraft","source":"europepmc","abstract":"","url":"https://doi.org/10.26434/chemrxiv.12616169.v1","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2020","addedAt":"2026-08-06T22:48:47.331Z","doi":"10.26434/chemrxiv.12616169.v1","updatedAt":"2026-08-31T06:39:37.915Z"},{"id":"doi:10.1007/s13272-022-00618-x","name":"Interview with Luc Tytgat, EASA Director, Strategy and Safety Management Directorate.","source":"europepmc","abstract":"","url":"https://doi.org/10.1007/s13272-022-00618-x","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2022","addedAt":"2026-08-06T22:48:47.331Z","doi":"10.1007/s13272-022-00618-x","updatedAt":"2026-08-31T06:39:37.915Z"},{"id":"doi:10.1016/j.xinn.2025.101091","name":"Advancing battery research through large language models: A review.","source":"europepmc","abstract":"","url":"https://doi.org/10.1016/j.xinn.2025.101091","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:47.331Z","doi":"10.1016/j.xinn.2025.101091","updatedAt":"2026-08-31T06:39:39.468Z"},{"id":"doi:10.1038/s41598-025-11639-x","name":"Spatial evolution of international air cargo network connectivity in China: 1996-2019.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41598-025-11639-x","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","addedAt":"2026-08-06T22:48:47.331Z","doi":"10.1038/s41598-025-11639-x","updatedAt":"2026-08-31T06:39:39.326Z"},{"id":"doi:10.3390/biomimetics11020099","name":"Vehicle Aerodynamic Noise: A Systematic Review of Mechanisms, Simulation Methods, and Bio-Inspired Mitigation Strategies.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/biomimetics11020099","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:47.331Z","doi":"10.3390/biomimetics11020099","updatedAt":"2026-08-31T06:39:39.468Z"},{"id":"doi:10.3390/s22239537","name":"Consensus Tracking of Nonlinear Agents Using Distributed Nonlinear Dynamic Inversion with Switching Leader-Follower Connection.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s22239537","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2022","addedAt":"2026-08-06T22:48:47.331Z","doi":"10.3390/s22239537","updatedAt":"2026-08-31T06:39:39.326Z"},{"id":"doi:10.1002/ente.202000694","name":"Recent Progress and Emerging Application Areas for Lithium-Sulfur Battery Technology.","source":"europepmc","abstract":"","url":"https://doi.org/10.1002/ente.202000694","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2021","addedAt":"2026-08-06T22:48:47.331Z","doi":"10.1002/ente.202000694","updatedAt":"2026-08-31T06:39:37.915Z"},{"id":"doi:10.3390/ijerph18020682","name":"A Psychoacoustic Approach to Building Knowledge about Human Response to Noise of Unmanned Aerial Vehicles.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/ijerph18020682","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2021","addedAt":"2026-08-06T22:48:47.331Z","doi":"10.3390/ijerph18020682","updatedAt":"2026-08-31T06:39:39.326Z"},{"id":"doi:10.1080/14686996.2026.2658329","name":"An air-electrode with hierarchically continuous pore architecture: a step toward \"true\" lithium-air batteries working with atmospheric oxygen.","source":"europepmc","abstract":"","url":"https://doi.org/10.1080/14686996.2026.2658329","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:47.331Z","doi":"10.1080/14686996.2026.2658329","updatedAt":"2026-08-31T06:39:39.468Z"},{"id":"doi:10.1002/advs.202400466","name":"Optimization Design of Fluoro-Cyanogen Copolymer Electrolyte to Achieve 4.7 V High-Voltage Solid Lithium Metal Battery.","source":"europepmc","abstract":"","url":"https://doi.org/10.1002/advs.202400466","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2024","addedAt":"2026-08-06T22:48:47.331Z","doi":"10.1002/advs.202400466","updatedAt":"2026-08-31T06:39:37.915Z"},{"id":"doi:10.3390/ijerph18115940","name":"Drone Noise Emission Characteristics and Noise Effects on Humans-A Systematic Review.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/ijerph18115940","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2021","addedAt":"2026-08-06T22:48:47.331Z","doi":"10.3390/ijerph18115940","updatedAt":"2026-08-31T06:39:39.468Z"},{"id":"doi:10.1038/s41598-022-05663-4","name":"Neuro-adaptive augmented distributed nonlinear dynamic inversion for consensus of nonlinear agents with unknown external disturbance.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41598-022-05663-4","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2022","addedAt":"2026-08-06T22:48:47.331Z","doi":"10.1038/s41598-022-05663-4","updatedAt":"2026-08-31T06:39:37.915Z"},{"id":"doi:10.3390/biomimetics11010073","name":"Multi-Strategy Improved Pelican Optimization Algorithm for Engineering Optimization Problems and 3D UAV Path Planning.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/biomimetics11010073","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:47.331Z","doi":"10.3390/biomimetics11010073","updatedAt":"2026-08-31T06:39:39.468Z"},{"id":"doi:10.3390/ijerph18126202","name":"Comparative UAV Noise-Impact Assessments through Survey and Noise Measurements.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/ijerph18126202","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2021","addedAt":"2026-08-06T22:48:47.331Z","doi":"10.3390/ijerph18126202","updatedAt":"2026-08-31T06:39:39.326Z"},{"id":"doi:10.3390/s21165649","name":"A Tactical Conflict Resolution Proposal for U-Space Zu Airspace Volumes.","source":"pubmed","abstract":"Conflict management between UAVs is one of the key aspects in developing future urban aerial mobility (UAM) spaces, such as the one proposed in U-Space. In the framework of tactical conflict management, i.e., with the UAVs in flight, this paper presents PCAN (Prediction-based Conflict-free Adaptive Navigation). This relatively simple navigation technique predicts the occurrence of the conflict and avoids it by modifying the velocity vector of the UAVs involved. The performance evaluation carried out demonstrates its effectiveness compared to similar techniques, even in high-density scenarios, while proving a low overhead in flight time or in the distance traveled by the UAVs to reach their destinations.","url":"https://doi.org/10.3390/s21165649","authors":["Jover J","Bermúdez A","Casado R"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2021","addedAt":"2026-08-06T22:48:47.331Z","doi":"10.3390/s21165649","updatedAt":"2026-08-31T06:39:43.695Z"},{"id":"doi:10.1038/s41598-025-89112-y","name":"Visual perception of wind hazards using cycloidal scanning LiDAR system.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41598-025-89112-y","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","addedAt":"2026-08-06T22:48:47.331Z","doi":"10.1038/s41598-025-89112-y","updatedAt":"2026-08-31T06:39:37.915Z"},{"id":"doi:10.1098/rsta.2021.0336","name":"Computational modelling of the crushing of carbon fibre-reinforced polymer composites.","source":"europepmc","abstract":"","url":"https://doi.org/10.1098/rsta.2021.0336","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2022","addedAt":"2026-08-06T22:48:47.331Z","doi":"10.1098/rsta.2021.0336","updatedAt":"2026-08-31T06:39:39.326Z"},{"id":"doi:10.1007/s11370-022-00452-4","name":"Unmanned aerial vehicles (UAVs): practical aspects, applications, open challenges, security issues, and future trends.","source":"europepmc","abstract":"","url":"https://doi.org/10.1007/s11370-022-00452-4","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2023","addedAt":"2026-08-06T22:48:47.331Z","doi":"10.1007/s11370-022-00452-4","updatedAt":"2026-08-31T06:39:39.468Z"},{"id":"doi:10.1016/j.ese.2024.100433","name":"The synergistic interplay of artificial intelligence and digital twin in environmentally planning sustainable smart cities: A comprehensive systematic review.","source":"europepmc","abstract":"","url":"https://doi.org/10.1016/j.ese.2024.100433","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2024","addedAt":"2026-08-06T22:48:47.331Z","doi":"10.1016/j.ese.2024.100433","updatedAt":"2026-08-31T06:39:39.326Z"},{"id":"pmid:42478975","name":"Aeroacoustic characterization of rotor-wing interaction noise in Lift+Cruise vertical takeoff and landing aircraft.","source":"pubmed","abstract":"","url":"https://pubmed.ncbi.nlm.nih.gov/42478975/","authors":["Melo CAP","Greenwood E","Ramos ACR","de Oliveira LPR"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2026 Jul 1","addedAt":"2026-08-06T22:48:47.331Z"},{"id":"pmid:42478740","name":"Elucidating the Origin of Intensified Thermal Safety Concerns of Practical Next-Generation High-Energy-Density Li-Ion Batteries.","source":"pubmed","abstract":"","url":"https://pubmed.ncbi.nlm.nih.gov/42478740/","authors":["Tu W","Wang J","Zhang H","Li W","Wang J","Xue J","Tian Y","Huang Y","Wu Y","Yan Y","Chen Y","Zou Y","Sun X","Qiao Y","Sun SG"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2026 Jul 21","addedAt":"2026-08-06T22:48:47.331Z"},{"id":"pmid:42270707","name":"How stakeholder requirements constrain drone-based medical delivery: probabilistic sizing of eVTOL aircraft at high altitude.","source":"pubmed","abstract":"","url":"https://pubmed.ncbi.nlm.nih.gov/42270707/","authors":["Alulema V","Acosta-Vargas G","Guevara C","Acosta-Vargas P"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2026 Jun 10","addedAt":"2026-08-06T22:48:47.331Z"},{"id":"pmid:41471526","name":"A Two-Stage Framework for Sensor Selection and Geolocation for eVTOL Emergency Localization Using HF Skywaves.","source":"pubmed","abstract":"","url":"https://pubmed.ncbi.nlm.nih.gov/41471526/","authors":["Liu X","Ai H","Xu C","Chen Z","Li Z"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025 Dec 11","addedAt":"2026-08-06T22:48:47.331Z"},{"id":"pmid:41309698","name":"Research on the aerodynamic characteristics of eVTOL aircraft ducted rotor tip embedded inside the ducted body.","source":"pubmed","abstract":"","url":"https://pubmed.ncbi.nlm.nih.gov/41309698/","authors":["Du S","Zha Y","Li C","Lu Z","Zhao Q"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025 Nov 27","addedAt":"2026-08-06T22:48:47.331Z"},{"id":"pmid:41012910","name":"Research on LiDAR-Assisted Optimization Algorithm for Terrain-Aided Navigation of eVTOL.","source":"pubmed","abstract":"","url":"https://pubmed.ncbi.nlm.nih.gov/41012910/","authors":["Zhang G","Zhou J","Duan Z","Zhao W"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025 Sep 11","addedAt":"2026-08-06T22:48:47.331Z"},{"id":"pmid:40877310","name":"High-power lithium-ion battery characterization dataset for stochastic battery modeling.","source":"pubmed","abstract":"","url":"https://pubmed.ncbi.nlm.nih.gov/40877310/","authors":["Khan MA","Thatipamula S","Tresca L","Xu L","Trewartha A","Onori S"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025 Aug 28","addedAt":"2026-08-06T22:48:47.331Z"},{"id":"pmid:40853103","name":"Optimal passive metamaterial selection for electric-Vertical-Take-Off-and-Landing aircraft: A filtering concepta).","source":"pubmed","abstract":"","url":"https://pubmed.ncbi.nlm.nih.gov/40853103/","authors":["Dogu M","Yang T","Chang YH","Farooqui M","Maeder M","Marburg S"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025 Aug 1","addedAt":"2026-08-06T22:48:47.331Z"},{"id":"pmid:40731581","name":"Four-Dimensional-Printed Woven Metamaterials for Vibration Reduction and Energy Absorption in Aircraft Landing Gear.","source":"pubmed","abstract":"","url":"https://pubmed.ncbi.nlm.nih.gov/40731581/","authors":["Wang X","Lin C","Li L","Lu Y","Zhu X","Wang W"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025 Jul 18","addedAt":"2026-08-06T22:48:47.331Z"},{"id":"pmid:40561224","name":"Effect of tip Mach number on propeller noise in edgewise flighta).","source":"pubmed","abstract":"","url":"https://pubmed.ncbi.nlm.nih.gov/40561224/","authors":["Gautam A","Hanson L","Rezgui D","Zang B","Azarpeyvand M"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025 Jun 1","addedAt":"2026-08-06T22:48:47.331Z"},{"id":"pmid:42539713","name":"Adopting electric vertical takeoff and landing aircraft for green transport transformation.","source":"pubmed","abstract":"","url":"https://pubmed.ncbi.nlm.nih.gov/42539713/","authors":["Liu M","Hao H","Geng Y","Dou H","Sun X","Bai F","Qu X","Wang K","Liu Z","Zhao F"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2026 Jul","addedAt":"2026-08-06T22:48:47.331Z"},{"id":"pmid:39758371","name":"Development and challenges of autonomous electric vertical take-off and landing aircraft.","source":"pubmed","abstract":"","url":"https://pubmed.ncbi.nlm.nih.gov/39758371/","authors":["Hu L","Yan X","Yuan Y"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025 Jan 15","addedAt":"2026-08-06T22:48:47.331Z"},{"id":"pmid:39431131","name":"The role of intelligent technology in the development of urban air mobility systems: A technical perspective.","source":"pubmed","abstract":"","url":"https://pubmed.ncbi.nlm.nih.gov/39431131/","authors":["Liu Y","Lyu C","Bai F","Parishwad O","Li Y"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2024 Sep","addedAt":"2026-08-06T22:48:47.331Z"},{"id":"pmid:39328524","name":"Study on the evaluation method of pilot workload in eVTOL aircraft operation.","source":"pubmed","abstract":"","url":"https://pubmed.ncbi.nlm.nih.gov/39328524/","authors":["Hu L","Yan X","Yuan Y"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2024 Sep 30","addedAt":"2026-08-06T22:48:47.331Z"},{"id":"pmid:34714357","name":"Medical drones: Disruptive technology makes the future happen.","source":"pubmed","abstract":"","url":"https://pubmed.ncbi.nlm.nih.gov/34714357/","authors":["Sigari C","Biberthaler P"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2021 Dec","addedAt":"2026-08-06T22:48:47.331Z"},{"id":"pmid:33218247","name":"Kinetics of lithium electrodeposition and stripping.","source":"pubmed","abstract":"","url":"https://pubmed.ncbi.nlm.nih.gov/33218247/","authors":["Sripad S","Korff D","DeCaluwe SC","Viswanathan V"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2020 Nov 21","addedAt":"2026-08-06T22:48:47.331Z"},{"id":"arxiv:2106.08878v1","name":"Autonomous Navigation System for a Delivery Drone","source":"arxiv","abstract":"The use of delivery services is an increasing trend worldwide, further enhanced by the COVID pandemic. In this context, drone delivery systems are of great interest as they may allow for faster and cheaper deliveries. This paper presents a navigation system that makes feasible the delivery of parcels with autonomous drones. The system generates a path between a start and a final point and controls the drone to follow this path based on its localization obtained through GPS, 9DoF IMU, and barometer. In the landing phase, information of poses estimated by a marker (ArUco) detection technique using a camera, ultra-wideband (UWB) devices, and the drone's software estimation are merged by utilizing an Extended Kalman Filter algorithm to improve the landing precision. A vector field-based method controls the drone to follow the desired path smoothly, reducing vibrations or harsh movements that could harm the transported parcel. Real experiments validate the delivery strategy and allow to evaluate the performance of the adopted techniques. Preliminary results state the viability of our proposal for autonomous drone delivery.","url":"https://arxiv.org/abs/2106.08878v1","authors":["Victor R. F. Miranda","Adriano M. C. Rezende","Thiago L. Rocha","Héctor Azpúrua","Luciano C. A. Pimenta","Gustavo M. Freitas"],"tags":["cs.RO","eess.SY"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2021-06-16T15:51:42Z","addedAt":"2026-08-06T22:48:49.926Z"},{"id":"arxiv:2210.11745v1","name":"BC-IoDT: Blockchain-based Framework for Authentication in Internet of Drone Things","source":"arxiv","abstract":"We leverage blockchain technology for drone node authentication in internet of drone things (IoDT). During the authentication procedure, the credentials of drone nodes are examined to remove malicious nodes from the system. In IoDT, drones are responsible for gathering data and transmitting it to cluster heads (CHs) for further processing. The CH collects and organizes data. Due to computational load, their energy levels rapidly deplete. To overcome this problem, we present a low-energy adaptive clustering hierarchy (R2D) protocol based on distance, degree, and residual energy. R2D is used to replace CHs with normal nodes based on the biggest residual energy, the degree, and the shortest distance from BS. The cost of keeping a big volume of data on the blockchain is high. We employ the Interplanetary File System (IPFS), to address this issue. Moreover, IPFS protects user data using the industry-standard encryption technique AES-128. This standard compares well to other current encryption methods. Using a consensus mechanism based on proof of work requires a high amount of computing resources for transaction verification. The suggested approach leverages a consensus mechanism known as proof of authority (PoA) to address this problem . The results of the simulations indicate that the suggested system model functions effectively and efficiently. A formal security analysis is conducted to assess the smart contract's resistance to attacks.","url":"https://arxiv.org/abs/2210.11745v1","authors":["Junaid Akram","Awais Akram","Rutvij H. Jhaveri","Mamoun Alazab","Haoran Chi"],"tags":["cs.CR","cs.DC"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2022-10-21T05:48:44Z","addedAt":"2026-08-06T22:48:49.926Z"},{"id":"arxiv:2112.15454v4","name":"Advanced Drone Swarm Security by Using Blockchain Governance Game","source":"arxiv","abstract":"This research contributes to the security design of an advanced smart drone swarm network based on a variant of the Blockchain Governance Game (BGG), which is the theoretical game model to predict the moments of security actions before attacks, and the Strategic Alliance for Blockchain Governance Game (SABGG), which is one of the BGG variants which has been adapted to construct the best strategies to take preliminary actions based on strategic alliance for protecting smart drones in a blockchain-based swarm network. Smart drones are artificial intelligence (AI)-enabled drones which are capable of being operated autonomously without having any command center. Analytically tractable solutions from the SABGG allow us to estimate the moments of taking preliminary actions by delivering the optimal accountability of drones for preventing attacks. This advanced secured swarm network within AI-enabled drones is designed by adapting the SABGG model. This research helps users to develop a new network-architecture-level security of a smart drone swarm which is based on a decentralized network.","url":"https://arxiv.org/abs/2112.15454v4","authors":["Song-Kyoo Kim"],"tags":["eess.SY","cs.CR","cs.GT"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2021-12-29T18:05:46Z","addedAt":"2026-08-06T22:48:49.926Z"},{"id":"arxiv:1908.07406v1","name":"Multi-Objective Optimization for Drone Delivery","source":"arxiv","abstract":"Recently, an unmanned aerial vehicle (UAV), as known as drone, has become an alternative means of package delivery. Although the drone delivery scheduling has been studied in recent years, most existing models are formulated as a single objective optimization problem. However, in practice, the drone delivery scheduling has multiple objectives that the shipper has to achieve. Moreover, drone delivery typically faces with unexpected events, e.g., breakdown or unable to takeoff, that can significantly affect the scheduling problem. Therefore, in this paper, we propose a multi-objective and three-stage stochastic optimization model for the drone delivery scheduling, called multi-objective optimization for drone delivery (MODD) system. To handle the the multi-objective optimization in the MODD system, we apply $\\varepsilon$-constraint method. The performance evaluation is performed by using a real dataset from Singapore delivery services.","url":"https://arxiv.org/abs/1908.07406v1","authors":["Suttinee Sawadsitang","Dusit Niyato","Puay Siew Tan","Sarana Nutanong"],"tags":["eess.SP"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2019-07-24T05:26:20Z","addedAt":"2026-08-06T22:48:49.926Z"},{"id":"arxiv:1805.06803v2","name":"Supplier Cooperation in Drone Delivery","source":"arxiv","abstract":"Recently, unmanned aerial vehicles (UAVs), also known as drones, has emerged as an efficient and cost-effective solution for package delivery. Especially, drones are expected to incur lower cost, and achieve fast and environment friendly delivery. While most of existing drone research concentrates on surveillance applications, few works studied the drone package delivery planning problem. Even so, the previous works only focus on the drone delivery planning of a single supplier. In this paper, thus we propose the supplier cooperation in drone delivery (CoDD) framework. The framework considers jointly package assignment, supplier cooperation, and cost management. The objective of the framework is to help suppliers minimize and achieve fair share of the cost as well as reach a stable cooperation. The trade-off between using drones and outsourcing package delivery to a carrier is also investigated. The performance evaluation of the CoDD framework is conducted by using the Solomon benchmark suite and a real Singapore dataset which evidently confirms the practical findings.","url":"https://arxiv.org/abs/1805.06803v2","authors":["Suttinee Sawadsitang","Dusit Niyato","Tan Puay Siew","Ping Wang"],"tags":["math.OC"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2018-05-17T14:44:14Z","addedAt":"2026-08-06T22:48:49.926Z"},{"id":"arxiv:2304.14622v1","name":"Optimizing Drone Delivery in Smart Cities","source":"arxiv","abstract":"We propose a novel context-aware drone delivery framework for optimizing package delivery through skyway networks in smart cities. We reformulate the problem of finding an optimal drone service delivery pathway as a more congruent and elegant drone delivery service composition problem. In this respect, we propose a novel line-of-sight heuristic-based context-aware composition algorithm that selects and composes near-optimal drone delivery services. We conducted an extensive experiment using a real dataset to show the robustness of our proposed approach.","url":"https://arxiv.org/abs/2304.14622v1","authors":["Babar Shahzaad","Balsam Alkouz","Jermaine Janszen","Athman Bouguettaya"],"tags":["cs.RO","cs.DC"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2023-04-28T04:32:26Z","addedAt":"2026-08-06T22:48:49.926Z"},{"id":"arxiv:2201.00277v1","name":"Service-Based Drone Delivery","source":"arxiv","abstract":"Service delivery is set to experience a major paradigm shift with fast advances in drone technologies coupled with higher expectations from customers and increased competition. We propose a novel service-oriented approach to enable the ubiquitous delivery of packages in a drone-operated skyway network. We discuss the benefits, framework and architecture, contemporary approaches, open challenges and future visioned directions of service-based drone deliveries.","url":"https://arxiv.org/abs/2201.00277v1","authors":["Balsam Alkouz","Babar Shahzaad","Athman Bouguettaya"],"tags":["cs.RO"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2022-01-02T02:34:10Z","addedAt":"2026-08-06T22:48:49.926Z"},{"id":"arxiv:1608.02305v1","name":"Vehicle Routing Problems for Drone Delivery","source":"arxiv","abstract":"Unmanned aerial vehicles, or drones, have the potential to significantly reduce the cost and time of making last-mile deliveries and responding to emergencies. Despite this potential, little work has gone into developing vehicle routing problems (VRPs) specifically for drone delivery scenarios. Existing VRPs are insufficient for planning drone deliveries: either multiple trips to the depot are not permitted, leading to solutions with excess drones, or the effect of battery and payload weight on energy consumption is not considered, leading to costly or infeasible routes. We propose two multi-trip VRPs for drone delivery that address both issues. One minimizes costs subject to a delivery time limit, while the other minimizes the overall delivery time subject to a budget constraint. We mathematically derive and experimentally validate an energy consumption model for multirotor drones, demonstrating that energy consumption varies approximately linearly with payload and battery weight. We use this approximation to derive mixed integer linear programs for our VRPs. We propose a cost function that considers our energy consumption model and drone reuse, and apply it in a simulated annealing (SA) heuristic for finding sub-optimal solutions to practical scenarios. To assist drone delivery practitioners with balancing cost and delivery time, the SA heuristic is used to show that the minimum cost has an inverse exponential relationship with the delivery time limit, and the minimum overall delivery time has an inverse exponential relationship with the budget. Numerical results confirm the importance of reusing drones and optimizing battery size in drone delivery VRPs.","url":"https://arxiv.org/abs/1608.02305v1","authors":["Kevin Dorling","Jordan Heinrichs","Geoffrey G. Messier","Sebastian Magierowski"],"tags":["math.OC"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2016-08-08T03:30:22Z","addedAt":"2026-08-06T22:48:49.926Z"},{"id":"arxiv:2404.17711v1","name":"Optimal Delivery with a Faulty Drone","source":"arxiv","abstract":"We introduce and study a new cooperative delivery problem inspired by drone-assisted package delivery. We consider a scenario where a drone, en route to deliver a package to a destination (a point on the plane), unexpectedly loses communication with its central command station. The command station cannot know whether the drone's system has wholly malfunctioned or merely experienced a communications failure. Consequently, a second, helper drone must be deployed to retrieve the package to ensure successful delivery. The central question of this study is to find the optimal trajectory for this second drone. We demonstrate that the optimal solution relies heavily on the relative spatial positioning of the command station, the destination point, and the last known location of the disconnected drone.","url":"https://arxiv.org/abs/2404.17711v1","authors":["Jared Coleman","Danny Krizanc","Evangelos Kranakis","Oscar Morales-Ponce"],"tags":["cs.DM"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2024-04-26T22:12:14Z","addedAt":"2026-08-06T22:48:49.926Z"},{"id":"arxiv:2211.06636v1","name":"Approximation Algorithms for Drone Delivery Scheduling Problem","source":"arxiv","abstract":"The coordination among drones and ground vehicles for last-mile delivery has gained significant interest in recent years. In this paper, we study \\textit{multiple drone delivery scheduling problem(MDSP) \\cite{Betti_ICDCN22} for last-mile delivery, where we have a set of drones with an identical battery budget and a set of delivery locations, along with reward or profit for delivery, cost and delivery time intervals. The objective of the MDSP is to find a collection of conflict-free schedules for each drone such that the total profit for delivery is maximum subject to the battery constraint of the drones. Here we propose a fully polynomial time approximation scheme (FPTAS) for the single drone delivery scheduling problem (SDSP) and a $\\frac{1}{4}$-approximation algorithm for MDSP with a constraint on the number of drones.","url":"https://arxiv.org/abs/2211.06636v1","authors":["Saswata Jana","Partha Sarathi Mandal"],"tags":["cs.DS"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2022-11-12T11:07:11Z","addedAt":"2026-08-06T22:48:49.926Z"},{"id":"arxiv:2203.04406v2","name":"Routing with Privacy for Drone Package Delivery Systems","source":"arxiv","abstract":"Unmanned aerial vehicles (UAVs), or drones, are increasingly being used to deliver goods from vendors to customers. To safely conduct these operations at scale, drones are required to broadcast position information as codified in remote identification (remote ID) regulations. However, location broadcast of package delivery drones introduces a privacy risk for customers using these delivery services: Third-party observers may leverage broadcast drone trajectories to link customers with their purchases, potentially resulting in a wide range of privacy risks. We propose a probabilistic definition of privacy risk based on the likelihood of associating a customer to a vendor given a package delivery route. Next, we quantify these risks, enabling drone operators to assess privacy risks when planning delivery routes. We then evaluate the impacts of various factors (e.g., drone capacity) on privacy and consider the trade-offs between privacy and delivery wait times. Finally, we propose heuristics for generating routes with privacy guarantees to avoid exhaustive enumeration of all possible routes and evaluate their performance on several realistic delivery scenarios.","url":"https://arxiv.org/abs/2203.04406v2","authors":["Geoffrey Ding","Alex Berke","Karthik Gopalakrishnan","Kwassi H. Degue","Hamsa Balakrishnan","Max Z. Li"],"tags":["cs.CR","cs.CY","cs.SI","eess.SY"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2022-03-04T18:50:53Z","addedAt":"2026-08-06T22:48:49.926Z"},{"id":"arxiv:2602.09991v1","name":"Acoustic Drone Package Delivery Detection","source":"arxiv","abstract":"In recent years, the illicit use of unmanned aerial vehicles (UAVs) for deliveries in restricted area such as prisons became a significant security challenge. While numerous studies have focused on UAV detection or localization, little attention has been given to delivery events identification. This study presents the first acoustic package delivery detection algorithm using a ground-based microphone array. The proposed method estimates both the drone's propeller speed and the delivery event using solely acoustic features. A deep neural network detects the presence of a drone and estimates the propeller's rotation speed or blade passing frequency (BPF) from a mel spectrogram. The algorithm analyzes the BPFs to identify probable delivery moments based on sudden changes before and after a specific time. Results demonstrate a mean absolute error of the blade passing frequency estimator of 16 Hz when the drone is less than 150 meters away from the microphone array. The drone presence detection estimator has a accuracy of 97%. The delivery detection algorithm correctly identifies 96% of events with a false positive rate of 8%. This study shows that deliveries can be identified using acoustic signals up to a range of 100 meters.","url":"https://arxiv.org/abs/2602.09991v1","authors":["François Marcoux","François Grondin"],"tags":["cs.RO"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2026-02-10T17:16:20Z","addedAt":"2026-08-06T22:48:49.926Z"},{"id":"arxiv:2311.17375v1","name":"Drone Delivery Optimization","source":"arxiv","abstract":"This research has addressed three critical challenges inherent in the implementation of drone delivery systems, namely, optimizing battery charging station placement, solving the shortest path problem for drones within their single battery charge travel distance, and efficiently scheduling multiple drones across numerous warehouses and delivery locations with diverse demands. The study has leveraged a 2D grid model with obstacles, providing a practical foundation extendable to a 3D grid for accommodating complex structures. For battery station placement, the Miller-Tucker-Zemlin subtour elimination method has been applied to avoid the formation of charging station clusters. Future research directions involve the integration of these cases into a holistic solution, exploration of three-dimensional space, and the pursuit of bi-level optimization considering the interdependence of battery station placement and shortest path determination. This study contributes to the emerging field of drone delivery systems by addressing key optimization challenges and paving the way for comprehensive, integrated solutions.","url":"https://arxiv.org/abs/2311.17375v1","authors":["Saayuj Deshpande","Purushotham Mani"],"tags":["math.OC"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2023-11-29T05:59:54Z","addedAt":"2026-08-06T22:48:49.926Z"},{"id":"arxiv:2106.04729v2","name":"A Markov Decision Process Approach for Managing Medical Drone Deliveries","source":"arxiv","abstract":"We consider the problem of optimizing the distribution operations at a drone hub that dispatches drones to different geographic locations generating stochastic demands for medical supplies. Drone delivery is an innovative method that introduces many benefits, such as low-contact delivery, thereby reducing the spread of pandemic and vaccine-preventable diseases. While we focus on medical supply delivery for this work, drone delivery is suitable for many other items, including food, postal parcels, and e-commerce. In this paper, our goal is to address drone delivery challenges related to the stochastic demands of different geographic locations. We consider different classes of demand related to geographic locations that require different flight ranges, which is directly related to the amount of charge held in a drone battery. We classify the stochastic demands based on their distance from the drone hub, use a Markov decision process to model the problem, and perform computational tests using realistic data representing a prominent drone delivery company. We solve the problem using a reinforcement learning method and show its high performance compared with the exact solution found using dynamic programming. Finally, we analyze the results and provide insights for managing the drone hub operations.","url":"https://arxiv.org/abs/2106.04729v2","authors":["Amin Asadi","Sarah Nurre Pinkley","Martijn Mes"],"tags":["math.OC","cs.AI","cs.LG"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2021-06-08T23:20:31Z","addedAt":"2026-08-06T22:48:49.926Z"},{"id":"arxiv:2209.01580v1","name":"Autonomous Delivery of Multiple Packages Using Single Drone in Urban Airspace","source":"arxiv","abstract":"Current drone delivery solutions mainly focus on single package delivery using one drone. However, the recent developments in drone technology enable a drone to deliver multiple packages in a single trip. We use the nearest destination first strategy for the faster delivery of packages in a skyway network. This demonstration is a proof-of-concept prototype for the multi-package delivery in urban airspace following a skyway network. We deploy and test this multi-package drone delivery in an indoor testbed environment using a 3D model of Sydney CBD. Demo: https://youtu.be/YTwsIfUvWPc","url":"https://arxiv.org/abs/2209.01580v1","authors":["Seunghyun Lee","Babar Shahzaad","Balsam Alkouz","Abdallah Lakhdari","Athman Bouguettaya"],"tags":["cs.RO","cs.DC"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2022-09-04T09:35:26Z","addedAt":"2026-08-06T22:48:49.926Z"},{"id":"arxiv:2108.06056v1","name":"Package Delivery Using Autonomous Drones in Skyways","source":"arxiv","abstract":"Current drone delivery systems mostly focus on point-to-point package delivery. We present a multi-stop drone service system to deliver packages anywhere anytime within a specified geographic area. We define a skyway network which takes into account flying regulations, including restricted areas and no-fly zones. The skyway nodes typically represent building rooftops which may act as both recharging stations and delivery destinations. A heuristic-based A* algorithm is used to compute an optimal path from source to destination taking into account a number of constraints, including delivery time, availability of recharging stations, etc. We deploy our drone delivery system in an indoor testbed environment using a 3D model of Sydney CBD. We describe a graphical user interface to monitor the real-time package delivery in the skyway network.","url":"https://arxiv.org/abs/2108.06056v1","authors":["Woojin Lee","Balsam Alkouz","Babar Shahzaad","Athman Bouguettaya"],"tags":["cs.RO"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2021-08-13T04:24:27Z","addedAt":"2026-08-06T22:48:49.926Z"},{"id":"arxiv:2601.08660v1","name":"Destination Drone: A Comprehensive Analysis of Japanese Consumer Choice Behavior and Intentions for Drone Delivery Services","source":"arxiv","abstract":"The potential for drone delivery services to transform logistics systems and consumer behavior has gained increasing attention. However, comprehensive empirical evidence on consumer delivery choice behavior within the context of transportation and urban air logistics remains limited, particularly in Japan. This study addresses this gap by examining Japanese consumers' preferences and behavioral intentions toward drone delivery services. Using a stated preference (SP) survey and discrete choice modeling approaches, including multinomial logit (MNL) and mixed logit (MMNL) models, the analysis evaluates how delivery cost, delivery time, drop-off location, product type, and social influence affect delivery mode choices across different demographic groups. The results indicate that although consumers express interest in drone delivery, perceived cost and concerns related to reliability continue to constrain adoption. Younger and male consumers exhibit higher preferences for drone delivery, while product type, particularly daily consumer goods and medical or healthcare items, plays a significant role in shaping preferences. Post-estimation willingness-to-pay and elasticity analyses further highlight consumers' sensitivity to delivery pricing and speed attributes. Overall, the findings provide actionable insights for logistics service providers and policymakers regarding pricing strategies, service targeting, and deployment approaches for integrating drone delivery into Japan's evolving logistics system.","url":"https://arxiv.org/abs/2601.08660v1","authors":["Ei Phyu Kyi","Tao Feng","Jieyuan Lan","Ying Liu"],"tags":["econ.GN"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2026-01-13T15:38:10Z","addedAt":"2026-08-06T22:48:49.926Z"},{"id":"arxiv:2107.08450v1","name":"Robust Composition of Drone Delivery Services under Uncertainty","source":"arxiv","abstract":"We propose a novel robust composition framework for drone delivery services considering changes in the wind patterns in urban areas. The proposed framework incorporates the dynamic arrival of drone services at the recharging stations. We propose a Probabilistic Forward Search (PFS) algorithm to select and compose the best drone delivery services under uncertainty. A set of experiments with a real drone dataset is conducted to illustrate the effectiveness and efficiency of the proposed approach.","url":"https://arxiv.org/abs/2107.08450v1","authors":["Babar Shahzaad","Athman Bouguettaya","Sajib Mistry"],"tags":["cs.DC","cs.RO"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2021-07-18T13:45:05Z","addedAt":"2026-08-06T22:48:49.926Z"},{"id":"arxiv:2111.00339v1","name":"Constraint-Aware Trajectory for Drone Delivery Services","source":"arxiv","abstract":"Drones are becoming a novel means for delivery services. We present a demonstration of drone delivery services in a skyway network that uses the service paradigm. A set of experiments is conducted using Crazyflie drones to collect the data on various positions of drones, wind speed, wind direction, and battery consumption. We run the experiments for a range of flight patterns including linear, rectangular, and triangular shapes.","url":"https://arxiv.org/abs/2111.00339v1","authors":["Jermaine Janszen","Babar Shahzaad","Balsam Alkouz","Athman Bouguettaya"],"tags":["cs.DC","cs.RO"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2021-10-30T21:06:30Z","addedAt":"2026-08-06T22:48:49.926Z"},{"id":"arxiv:2208.14304v1","name":"Approximation Algorithms for Drone Delivery Packing Problem","source":"arxiv","abstract":"Recent advancements in unmanned aerial vehicles, also known as drones, have motivated logistics to use drones for multiple operations. Collaboration between drones and trucks in a last-mile delivery system has numerous benefits and reduces a number of challenges. In this paper, we introduce \\textit{drone-delivery packing problem} (DDP), where we have a set of deliveries and respective customers with their prescribed locations, delivery time intervals, associated cost for deliveries, and a set of drones with identical battery budgets. The objective of the DDP is to find an assignment for all deliveries to the drones by using the minimum number of drones subject to the battery budget and compatibility of the assignment of each drone. We prove that DDP is NP-Hard and formulate the integer linear programming (ILP) formulation for it. We proposed two greedy approximation algorithms for DDP. The first algorithm uses at most $2OPT + (Δ+ 1)$ drones. The second algorithm uses at most $2OPT + ω$ drones, where OPT is the optimum solution for DDP, $ω$ is the maximum clique size, and $Δ$ is the maximum degree of the interval graph $G$ constructed from the delivery time intervals.","url":"https://arxiv.org/abs/2208.14304v1","authors":["Saswata Jana","Partha Sarathi Mandal"],"tags":["cs.DS"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2022-08-30T14:38:27Z","addedAt":"2026-08-06T22:48:49.926Z"},{"id":"arxiv:2209.04057v1","name":"Drone Deployment Optimization for Direct Delivery with Time Windows and Battery Replacements","source":"arxiv","abstract":"Aerial drones offer a distinct potential to reduce the delivery time and energy consumption for the delivery of time-sensitive and small products. However, there is still a need in the relevant industry to understand the performance of drone-based delivery under different business needs and drone operating conditions. We studied a drone deployment optimization problem for direct delivery of goods to customers maintaining a specified time window. This paper presents a new mathematical optimization-based decision-making methodology to help business owners optimally route their drone fleet minimizing the total energy consumption, required fleet size, and the required number of additional batteries. A realistic feature of the optimization method is that instead of replacing the drone battery after each return to the depot, it keeps track of the remaining energy in the drone battery and decides on battery replacements accounting for the drone routing and the user-specified minimum required battery energy. Numerical results based on real drone flight tests and delivery data provide insights into the effect of different drone operating parameters on the energy consumption, required fleet size, and the required number of battery replacements. Results from a case study show that the total energy consumption, required fleet size, and the required number of battery replacements increase by 72.22%, 22.2%, and 200%, respectively, as the drones fly over the road networks compared to flying in a straight path. Additionally, results show that using a mixed fleet of hexacopter and quadcopter drones reduces the total energy consumption by 48.52% compared to using a homogeneous fleet of only hexacopters.","url":"https://arxiv.org/abs/2209.04057v1","authors":["Tanveer Hossain Bhuiyan","Mohammad Roni","Victor Walker"],"tags":["math.OC"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2022-09-08T23:14:43Z","addedAt":"2026-08-06T22:48:49.926Z"},{"id":"arxiv:1905.03471v2","name":"RSS-Based Detection of Drones in the Presence of RF Interferers","source":"arxiv","abstract":"Drones will have extensive use cases across various commercial, government, and military sectors, ranging from delivery of consumer goods to search and rescue operations. To maintain the safety and security of people and infrastructure, it becomes critically important to quickly and accurately detect non-cooperating drones. In this paper we formulate a received signal strength (RSS) based detector, leveraging the existing wireless infrastructures that might already be serving other devices. Thus the detector can detect the presence of a drone signal buried in radio frequency (RF) interference and thermal noise, in a mixed line-of-sight (LOS) and non-LOS (NLOS) environment. We develop analytical expressions for the probability of false alarm and the probability of detection of a drone, which quantify the impact of aggregate interference and air-to-ground (A2G) propagation characteristics on the detection performance of individual sensors. We also provide analytical expressions for the average network probability of detection, which capture the impact of sensor density on a network's detection coverage. Finally, we find the critical sensor density that maximizes the average network probability of detection for a given requirement of the probability of false alarm.","url":"https://arxiv.org/abs/1905.03471v2","authors":["Priyanka Sinha","Yavuz Yapici","Ismail Guvenc","Esma Turgut","M. Cenk Gursoy"],"tags":["eess.SP"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2019-05-09T07:26:15Z","addedAt":"2026-08-06T22:48:49.926Z"},{"id":"arxiv:2502.15194v2","name":"On the Hardness of the Drone Delivery Problem","source":"arxiv","abstract":"Fast shipping and efficient routing are key problems of modern logistics. Building on previous studies that address package delivery from a source node to a destination within a graph using multiple agents (such as vehicles, drones, and ships), we investigate the complexity of this problem in specialized graphs and with restricted agent types, both with and without predefined initial positions. Particularly, in this paper, we aim to minimize the delivery time for delivering a package. To achieve this, we utilize a set of collaborative agents, each capable of traversing a specific subset of the graph and operating at varying speeds. This challenge is encapsulated in the recently introduced Drone Delivery Problem with respect to delivery time (DDT). In this work, we show that the DDT with predefined initial positions on a line is NP-hard, even when considering only agents with two distinct speeds. This refines the results presented by Erlebach, et al.[10], who demonstrated the NP-hardness of DDT on a line with agents of arbitrary speeds. Additionally, we examine DDT in grid graphs without predefined initial positions, where each drone can freely choose its starting position. We show that the problem is NP-hard to approximate within a factor of $O(n^{1-\\varepsilon}$), where $n$ is the size of the grid, even when all agents are restricted to two different speeds as well as rectangular movement areas. We conclude by providing an easy $O(n)$ approximation algorithm.","url":"https://arxiv.org/abs/2502.15194v2","authors":["Simon Bartlmae","Andreas Hene","Kelin Luo"],"tags":["cs.CC"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2025-02-21T04:08:03Z","addedAt":"2026-08-06T22:48:49.926Z"},{"id":"arxiv:2009.09549v1","name":"Resilient Composition of Drone Services for Delivery","source":"arxiv","abstract":"We propose a novel resilient drone service composition framework for delivery in dynamic weather conditions. We use a skyline approach to select an optimal set of candidate drone services at the source node in a skyway network. Drone services are initially composed using a novel constraint-aware deterministic lookahead algorithm using the multi-armed bandit tree exploration. We propose a heuristic-based resilient service composition approach that adapts to runtime changes and periodically updates the composition to meet delivery expectations. Experimental results prove the efficiency of the proposed approach.","url":"https://arxiv.org/abs/2009.09549v1","authors":["Babar Shahzaad","Athman Bouguettaya","Sajib Mistry","Azadeh Ghari Neiat"],"tags":["cs.NI","cs.DC"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2020-09-21T00:19:47Z","addedAt":"2026-08-06T22:48:49.926Z"},{"id":"arxiv:2002.03118v1","name":"Shipper Cooperation in Stochastic Drone Delivery: A Dynamic Bayesian Game Approach","source":"arxiv","abstract":"With the recent technological innovation, unmanned aerial vehicles, known as drones, have found numerous applications including package and parcel delivery for shippers. Drone delivery offers benefits over conventional ground-based vehicle delivery in terms of faster speed, lower cost, more environment-friendly, and less manpower needed. However, most of existing studies on drone delivery planning and scheduling focus on a single shipper and ignore uncertainty factors. As such, in this paper, we consider a scenario that multiple shippers can cooperate to minimize their drone delivery cost. We propose the Bayesian Shipper Cooperation in Stochastic Drone Delivery (BCoSDD) framework. The framework is composed of three functions, i.e., package assignment, shipper cooperation formation and cost management. The uncertainties of drone breakdown and misbehavior of cooperative shippers are taken into account by using multistage stochastic programming optimization and dynamic Bayesian coalition formation game. We conduct extensive performance evaluation of the BCoSDD framework by using customer locations from Solomon benchmark suite and a real Singapore logistics industry. As a result, the framework can help the shippers plan and schedule their drone delivery effectively.","url":"https://arxiv.org/abs/2002.03118v1","authors":["Suttinee Sawadsitang","Dusit Niyato","Tan Puay Siew","Ping Wang","Sarana Nutanong"],"tags":["cs.GT","math.OC"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2020-02-08T08:51:43Z","addedAt":"2026-08-06T22:48:49.926Z"},{"id":"arxiv:2402.00829v1","name":"The En Route Truck-Drone Delivery Problem","source":"arxiv","abstract":"We study the truck-drone cooperative delivery problem in a setting where a single truck carrying a drone travels at constant speed on a straight-line trajectory/street. Delivery to clients located in the plane and not on the truck's trajectory is performed by the drone, which has limited carrying capacity and flying range, and whose battery can be recharged when on the truck. We show that the problem of maximizing the number of deliveries is strongly NP-hard even in this simple setting. We present a 2-approximation algorithm for the problem, and an optimal algorithm for a non-trivial family of instances.","url":"https://arxiv.org/abs/2402.00829v1","authors":["Danny Krizanc","Lata Narayanan","Jaroslav Opatrny","Denis Pankratov"],"tags":["cs.DS"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2024-02-01T18:16:53Z","addedAt":"2026-08-06T22:48:49.926Z"},{"id":"arxiv:2107.13672v1","name":"Locating and Platforms and Scheduling a Fleet of Drones for Emergency Delivery of Perishable Items","source":"arxiv","abstract":"Motivated by issues dealing with delivery of emergency medical products during humanitarian disasters, this paper addresses the general problem of delivering perishable items to remote demands accessible only by helicopters or drones. Each drone operates out of platforms that may be move when not in use and each drone has a limited delivery range to service a demand points. Associated with each demand point is a disutility function, or a cost function, with respect to time that reflects preferred delivery clock time for the demanded item, as well as the item's perishability characteristic that models nonincreasing quality with time. The paper first addresses the problem of locating the platforms as well concurrently determining which platform serves which demand points and in what order to minimize total disutility for product delivery. The second scenario addresses the two-period problem where the platforms can be relocated, using useable road networks, after the first period. It can be easily proven that continuous time versions of these problems are NP-Hard. However, a practical \"time-slot\" version of the problem, where time is discretized into slots, can be solved by standard optimization software. Extensive computational experiments, using different drone delivery ranges as well as different drone fleet sizes, provide valuable insights on the performance of such drone delivery systems.","url":"https://arxiv.org/abs/2107.13672v1","authors":["Monica Gentili","Pitu B. Mirchandani","Alessandro Agnetis","Zabih Ghelichi"],"tags":["math.OC"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2021-07-28T23:55:55Z","addedAt":"2026-08-06T22:48:49.926Z"},{"id":"arxiv:2507.16259v1","name":"Physics-aware Truck and Drone Delivery Planning Using Optimization &amp; Machine Learning","source":"arxiv","abstract":"Combining an energy-efficient drone with a high-capacity truck for last-mile package delivery can benefit operators and customers by reducing delivery times and environmental impact. However, directly integrating drone flight dynamics into the combinatorially hard truck route planning problem is challenging. Simplified models that ignore drone flight physics can lead to suboptimal delivery plans. We propose an integrated formulation for the joint problem of truck route and drone trajectory planning and a new end-to-end solution approach that combines optimization and machine learning to generate high-quality solutions in practical online runtimes. Our solution method trains neural network predictors based on offline solutions to the drone trajectory optimization problem instances to approximate drone flight times, and uses these approximations to optimize the overall truck-and-drone delivery plan by augmenting an existing order-first-split-second heuristic. Our method explicitly incorporates key kinematics and energy equations in drone trajectory optimization, and thereby outperforms state-of-the-art benchmarks that ignore drone flight physics. Extensive experimentation using synthetic datasets and real-world case studies shows that the integration of drone trajectories into package delivery planning substantially improves system performance in terms of tour duration and drone energy consumption. Our modeling and computational framework can help delivery planners achieve annual savings worth millions of dollars while also benefiting the environment.","url":"https://arxiv.org/abs/2507.16259v1","authors":["Yineng Sun","Armin Fügenschuh","Vikrant Vaze"],"tags":["math.OC","cs.RO"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2025-07-22T06:17:11Z","addedAt":"2026-08-06T22:48:49.926Z"},{"id":"arxiv:2402.16085v1","name":"Online Drone Scheduling for Last-mile Delivery","source":"arxiv","abstract":"Delivering a parcel from the distribution hub to the customer's doorstep is called the \\textit{last-mile delivery} step in delivery logistics. In this paper, we study a hybrid {\\it truck-drones} model for the last-mile delivery step, in which a truck moves on a predefined path carrying parcels and drones deliver the parcels. We define the \\textsc{online drone scheduling} problem, where the truck moves in a predefined path, and the customer's requests appear online during the truck's movement. The objective is to schedule a drone associated with every request to minimize the number of drones used subject to the battery budget of the drones and compatibility of the schedules. We propose a 3-competitive deterministic algorithm using the next-fit strategy and 2.7-competitive algorithms using the first-fit strategy for the problem with $O(\\log n)$ worst-case time complexity per request, where $n$ is the maximum number of active requests at any time. We also introduce \\textsc{online variable-size drone scheduling} problem (OVDS). Here, we know all the customer's requests in advance; however, the drones with different battery capacities appear online. The objective is to schedule customers' requests for drones to minimize the number of drones used. We propose a $(2α+ 1)$-competitive algorithm for the OVDS problem with total running time $O(n \\log n)$ for $n$ customer requests, where $α$ is the ratio of the maximum battery capacity to the minimum battery capacity of the drones. Finally, we address how to generate intervals corresponding to each customer request when there are discrete stopping points on the truck's route, from where the drone can fly and meet with the truck.","url":"https://arxiv.org/abs/2402.16085v1","authors":["Saswata Jana","Giuseppe F. Italiano","Manas Jyoti Kashyop","Athanasios L. Konstantinidis","Evangelos Kosinas","Partha Sarathi Mandal"],"tags":["cs.DS"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2024-02-25T13:20:28Z","addedAt":"2026-08-06T22:48:49.926Z"},{"id":"arxiv:2002.06512v3","name":"Privaros: A Framework for Privacy-Compliant Delivery Drones","source":"arxiv","abstract":"We present Privaros, a framework to enforce privacy policies on drones. Privaros is designed for commercial delivery drones, such as the ones that will likely be used by Amazon Prime Air. Such drones visit a number of host airspaces, each of which may have different privacy requirements. Privaros provides an information flow control framework to enforce the policies of these hosts on the guest delivery drones. The mechanisms in Privaros are built on top of ROS, a middleware popular in many drone platforms. This paper presents the design and implementation of these mechanisms, describes how policies are specified, and shows that Privaros's policy specification can be integrated with India's Digital Sky portal. Our evaluation shows that a drone running Privaros can robustly enforce various privacy policies specified by hosts, and that its core mechanisms only marginally increase communication latency and power consumption.","url":"https://arxiv.org/abs/2002.06512v3","authors":["Rakesh Rajan Beck","Abhishek Vijeev","Vinod Ganapathy"],"tags":["cs.CR","cs.OS"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2020-02-16T05:51:41Z","addedAt":"2026-08-06T22:48:49.926Z"},{"id":"arxiv:2005.06952v1","name":"Swarm-based Drone-as-a-Service (SDaaS) for Delivery","source":"arxiv","abstract":"We propose a novel framework for composing Swarm-based Drone-as-a-Service (SDaaS) for delivery. Two composition approaches, i.e., sequential and parallel are designed considering the different behaviors of drone swarms. The proposed framework considers various constraints, e.g., recharging time and limited battery to meet delivery deadlines. We propose SDaaS composition algorithms using a modified A* algorithm. A cooperative behavior model is incorporated to reduce recharging and waiting time in a delivery. Experimental results prove the efficiency of the proposed approach.","url":"https://arxiv.org/abs/2005.06952v1","authors":["Balsam Alkouz","Athman Bouguettaya","Sajib Mistry"],"tags":["cs.NI"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2020-04-29T04:25:27Z","addedAt":"2026-08-06T22:48:49.926Z"},{"id":"arxiv:2203.05906v1","name":"Communication-aware Drone Delivery Problem","source":"arxiv","abstract":"The drone delivery problem (DDP) has been introduced to include aerial vehicles in last-mile delivery operations to increase efficiency. However, the existing studies have not incorporated the communication quality requirements of such a delivery operation. This study introduces the Communication-aware DDP (C-DDP), which incorporates handover and outage constraints. In particular, any trip of a drone to deliver a customer package must require less than a certain number of handover operations and cannot exceed a predefined outage duration threshold. The authors develop a Mixed Integer Programming (MIP) model to minimize the total flight distance while satisfying communication constraints as well as the time windows of customers. We present a Genetic Algorithm (GA) that can solve large instances, and compare its performance with an off-the-shelf MIP solver. Computational results show that the GA can outperform the MIP solver for solving larger instances and is a better option.","url":"https://arxiv.org/abs/2203.05906v1","authors":["Cihan Tugrul Cicek","Çağrı Koç","Hakan Gultekin","Güneş Erdoğan"],"tags":["math.OC"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2022-03-11T13:19:49Z","addedAt":"2026-08-06T22:48:49.926Z"},{"id":"arxiv:2211.07569v1","name":"Millimeter Wave Drones with Cameras: Computer Vision Aided Wireless Beam Prediction","source":"arxiv","abstract":"Millimeter wave (mmWave) and terahertz (THz) drones have the potential to enable several futuristic applications such as coverage extension, enhanced security monitoring, and disaster management. However, these drones need to deploy large antenna arrays and use narrow directive beams to maintain a sufficient link budget. The large beam training overhead associated with these arrays makes adjusting these narrow beams challenging for highly-mobile drones. To address these challenges, this paper proposes a vision-aided machine learning-based approach that leverages visual data collected from cameras installed on the drones to enable fast and accurate beam prediction. Further, to facilitate the evaluation of the proposed solution, we build a synthetic drone communication dataset consisting of co-existing wireless and visual data. The proposed vision-aided solution achieves a top-$1$ beam prediction accuracy of $\\approx 91\\%$ and close to $100\\%$ top-$3$ accuracy. These results highlight the efficacy of the proposed solution towards enabling highly mobile mmWave/THz drone communication.","url":"https://arxiv.org/abs/2211.07569v1","authors":["Gouranga Charan","Andrew Hredzak","Ahmed Alkhateeb"],"tags":["eess.SP","cs.CV","cs.IT"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2022-11-14T17:42:16Z","addedAt":"2026-08-06T22:48:49.926Z"},{"id":"arxiv:2410.20584v1","name":"Aerodynamics and Sensing Analysis for Efficient Drone-Based Parcel Delivery","source":"arxiv","abstract":"In an era of rapid urbanization and e-commerce growth, efficient parcel delivery methods are crucial. This paper presents a detailed study of the aerodynamics and sensing analysis of drones for parcel delivery. Utilizing Computational Fluid Dynamics (CFD), the study offers a comprehensive airflow analysis, revealing the aerodynamic forces affecting drone stability due to payload capacity. A multidisciplinary approach is employed, integrating mechanical design, control theory, and sensing systems to address the complex issue of parcel positioning. The experimental validation section rigorously tests different size payloads and their positions and impact on drones with maximum thrusts of 2000 gf. The findings prove the drone's capacity to lift a large payload that covers up to 50 percent of the propeller, thereby contributing to optimizing drone designs and sustainable parcel delivery systems. It has been observed that the drone can lift a large payload smoothly when placed above the drone, with an error rate as low as 0.1 percent for roll, pitch, and yaw. This work paved the way for more versatile, real-world applications of drone technology, setting a new standard in the field.","url":"https://arxiv.org/abs/2410.20584v1","authors":["Avishkar Seth","Alice James","Endrowednes Kuantama","Subhas Mukhopadhyay","Richard Han"],"tags":["cs.RO","eess.SY"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2024-10-27T20:34:00Z","addedAt":"2026-08-06T22:48:49.926Z"},{"id":"arxiv:2010.04101v1","name":"Human-Drone Interactions with Semi-Autonomous Cohorts of Collaborating Drones","source":"arxiv","abstract":"Research in human-drone interactions has primarily focused on cases in which a person interacts with a single drone as an active controller, recipient of information, or a social companion; or cases in which an individual, or a team of operators interacts with a swarm of drones as they perform some coordinated flight patterns. In this position paper we explore a third scenario in which multiple humans and drones collaborate in an emergency response scenario. We discuss different types of interactions, and draw examples from current DroneResponse project.","url":"https://arxiv.org/abs/2010.04101v1","authors":["Jane Cleland-Huang","Ankit Agrawal"],"tags":["cs.HC","cs.SE"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2020-10-08T16:37:30Z","addedAt":"2026-08-06T22:48:49.926Z"},{"id":"arxiv:2104.05503v2","name":"Autonomous Drone Delivery to Your Door and Yard","source":"arxiv","abstract":"In this work, we present a system that enables delivery drones to autonomously navigate and deliver packages at various locations around a house according to the desire of the recipient and without the need for any external markers as currently used. This development is motivated by recent advancements in deep learning that can potentially supplant the specialized markers presently used by delivery drones for identifying sites at which to deliver packages. The proposed system is more natural in that it takes instruction on where to deliver the package as input, similar to the instructions provided to human couriers. First, we propose a semantic image segmentation-based descending location estimator that enables the drone to find a safe spot around the house at which it can descend from higher altitudes. Following this, we propose a strategy for visually routing the drone from the descent location to a specific site at which it is to deliver the package, such as the front door. We extensively evaluate this approach in a simulated environment and demonstrate that with our system, a delivery drone can deliver a package to the front door and also to other specified locations around a house. Relative to a frontier exploration-based strategy, drones using the proposed system found and reached the front doors of the 20 test houses 161% faster.","url":"https://arxiv.org/abs/2104.05503v2","authors":["Shyam Sundar Kannan","Byung-Cheol Min"],"tags":["cs.RO"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2021-04-12T14:32:36Z","addedAt":"2026-08-06T22:48:49.926Z"},{"id":"arxiv:2604.07514v1","name":"Energy-Efficient Drone Logistics for Last-Mile Delivery: Implications of Payload-Dependent Routing Strategies","source":"arxiv","abstract":"Drone delivery is rapidly emerging as a cost-effective and energy efficient alternative for last-mile delivery. Unlike ground vehicles, a drone's energy consumption depends on its payload in addition to travel distance. This creates a unique environmental challenge for multi-stop delivery tours, as the drone's total weight, and therefore its energy consumption rate, dynamically changes after each delivery. This paper investigates a novel green drone routing problem focused on maximizing energy efficiency. Through a series of motivating examples and numerical experiments, we demonstrate that energy-aware routing leads to several counter-intuitive routing strategies that contradict traditional distance-minimization delivery: a longer route may actually consume less energy than a shorter one; separate single-customer tours can be superior to a multi-stop tour; and a heterogeneous fleet, with drones of varying sizes, can achieve greater efficiency by matching drone capacity to specific delivery demands. In the numerical study, the green routing strategy shows energy savings in 67% of the instances. For these cases, the average energy saving is 2.17%, with a maximum saving of 5.97%, compared to minimum distance routing. These findings highlight the potential for green drone routing strategies to improve the sustainability of last-mile delivery.","url":"https://arxiv.org/abs/2604.07514v1","authors":["Ziyue Li"," Qianwen"," Guo","Paul Schonfeld"],"tags":["cs.ET"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2026-04-08T18:50:20Z","addedAt":"2026-08-06T22:48:49.926Z"},{"id":"arxiv:2208.04357v1","name":"Designing Drone Delivery Networks for Vaccine Supply Chain: A Case Study of Niger","source":"arxiv","abstract":"The focus of this research is to evaluate the use of drones for the delivery of pediatric vaccines in remote areas of low income and low and middle income countries. Delivering vaccines in these regions is challenging because of the inadequate road networks, and long transportation distances that make it difficult to maintain the cold chain integrity during transportation. We propose a mixed integer linear program to determine the location of drone hubs to facilitate the delivery of vaccines. The model considers the operational attributes of drones, vaccine wastage in the supply chain, cold storage and transportation capacities. We develop a case study using data from Niger to determine the impact of drone deliveries in improving vaccine availability in Niger. Our numerical analysis show an 0.71 to 2.21 increase in vaccine availability. These improvements depend on the available budget to build drone hubs and purchase drones, and the population density in the region of study.","url":"https://arxiv.org/abs/2208.04357v1","authors":["Maximilian Kolter","Sandra D. Eksioglu","Sarah Nurre Pinkley","Ruben A. Proano"],"tags":["math.OC"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2022-08-08T18:30:34Z","addedAt":"2026-08-06T22:48:49.926Z"},{"id":"arxiv:2005.12813v2","name":"AlphaPilot: Autonomous Drone Racing","source":"arxiv","abstract":"This paper presents a novel system for autonomous, vision-based drone racing combining learned data abstraction, nonlinear filtering, and time-optimal trajectory planning. The system has successfully been deployed at the first autonomous drone racing world championship: the 2019 AlphaPilot Challenge. Contrary to traditional drone racing systems, which only detect the next gate, our approach makes use of any visible gate and takes advantage of multiple, simultaneous gate detections to compensate for drift in the state estimate and build a global map of the gates. The global map and drift-compensated state estimate allow the drone to navigate through the race course even when the gates are not immediately visible and further enable to plan a near time-optimal path through the race course in real time based on approximate drone dynamics. The proposed system has been demonstrated to successfully guide the drone through tight race courses reaching speeds up to 8m/s and ranked second at the 2019 AlphaPilot Challenge.","url":"https://arxiv.org/abs/2005.12813v2","authors":["Philipp Foehn","Dario Brescianini","Elia Kaufmann","Titus Cieslewski","Mathias Gehrig","Manasi Muglikar","Davide Scaramuzza"],"tags":["cs.RO","cs.CV","eess.SY"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2020-05-26T15:45:05Z","addedAt":"2026-08-06T22:48:49.926Z"},{"id":"arxiv:2508.16049v1","name":"Dynamic Switching Models for Truck-only Delivery and Drone-assisted Truck Delivery under Demand Uncertainty","source":"arxiv","abstract":"Integrating drones into truck delivery systems can improve customer accessibility, reduce operational costs, and increase delivery efficiency. However, drone deployment incurs costs, including procurement, maintenance, and energy consumption, and its benefits depend on service demand. In low-demand areas, drone-assisted trucks may underutilize resources due to high upfront costs. Accurately predicting demand is challenging due to uncertainties from unforeseen events or infrastructure disruptions. To address this, a market entry and exit real option approach is used to optimize switching between truck-only and drone-assisted delivery under stochastic demand. Results show that deploying multiple drones per truck offers significant cost advantages in high-demand regions. Using the proposed dynamic switching model, deterministic and stochastic approaches reduce costs by 17.4% and 31.3%, respectively, compared to immediate cost-saving switching. Sensitivity analysis reveals asymmetric effects of stochastic parameters on entry and exit timings. A stochastic multiple-options model is further developed to dynamically switch between truck-only and drone-assisted delivery with varying drone numbers. Applying these models to Miami-Dade County, we evaluate dynamic switching costs for three major logistics operators. This study highlights the potential benefits of dynamic delivery switching and provides insights for optimizing logistics operations.","url":"https://arxiv.org/abs/2508.16049v1","authors":["Jiaqing Lu","Qianwen Guo","Dian Sheng","Shumin Chen","Paul Schonfeld"],"tags":["eess.SY"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2025-08-22T02:54:53Z","addedAt":"2026-08-06T22:48:49.927Z"},{"id":"arxiv:1706.05726v1","name":"Using Deep Networks for Drone Detection","source":"arxiv","abstract":"Drone detection is the problem of finding the smallest rectangle that encloses the drone(s) in a video sequence. In this study, we propose a solution using an end-to-end object detection model based on convolutional neural networks. To solve the scarce data problem for training the network, we propose an algorithm for creating an extensive artificial dataset by combining background-subtracted real images. With this approach, we can achieve precision and recall values both of which are high at the same time.","url":"https://arxiv.org/abs/1706.05726v1","authors":["Cemal Aker","Sinan Kalkan"],"tags":["cs.CV"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2017-06-18T20:50:56Z","addedAt":"2026-08-06T22:48:49.927Z"},{"id":"arxiv:1809.08022v1","name":"The Urban Last Mile Problem: Autonomous Drone Delivery to Your Balcony","source":"arxiv","abstract":"Drone delivery has been a hot topic in the industry in the past few years. However, existing approaches either focus on rural areas or rely on centralized drop-off locations from where the last mile delivery is performed. In this paper we tackle the problem of autonomous last mile delivery in urban environments using an off-the-shelf drone. We build a prototype system that is able to fly to the approximate delivery location using GPS and then find the exact drop-off location using visual navigation. The drop-off location could, e.g., be on a balcony or porch, and simply needs to be indicated by a visual marker on the wall or window. We test our system components in simulated environments, including the visual navigation and collision avoidance. Finally, we deploy our drone in a real-world environment and show how it can find the drop-off point on a balcony. To stimulate future research in this topic we open source our code.","url":"https://arxiv.org/abs/1809.08022v1","authors":["Gino Brunner","Bence Szebedy","Simon Tanner","Roger Wattenhofer"],"tags":["cs.RO","eess.SY"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2018-09-21T10:29:30Z","addedAt":"2026-08-06T22:48:49.927Z"},{"id":"arxiv:2205.04961v1","name":"Privadome: Protecting Citizen Privacy from Delivery Drones","source":"arxiv","abstract":"As e-commerce companies begin to consider using delivery drones for customer fulfillment, there are growing concerns around citizen privacy. Drones are equipped with cameras, and the video feed from these cameras is often required as part of routine navigation, be it for semi autonomous or fully-autonomous drones. Footage of ground-based citizens may be captured in this video feed, thereby leading to privacy concerns. This paper presents Privadome, a system that implements the vision of a virtual privacy dome centered around the citizen. Privadome is designed to be integrated with city-scale regulatory authorities that oversee delivery drone operations and realizes this vision through two components, PD-MPC and PD-ROS. PD-MPC allows citizens equipped with a mobile device to identify drones that have captured their footage. It uses secure two-party computation to achieve this goal without compromising the privacy of the citizen's location. PD-ROS allows the citizen to communicate with such drones and obtain an audit trail showing how the drone uses their footage and determine if privacy-preserving steps are taken to sanitize the footage. An experimental evaluation of Privadome using our prototype implementations of PD-MPC and PD-ROS shows that the system scales to near-term city-scale delivery drone deployments (hundreds of drones). We show that with PD-MPC the mobile data usage on the citizen's mobile device is comparable to that of routine activities on the device, such as streaming videos. We also show that the workflow of PD-ROS consumes a modest amount of additional CPU resources and power on our experimental platform.","url":"https://arxiv.org/abs/2205.04961v1","authors":["Gokulnath Pillai","Eikansh Gupta","Ajith Suresh","Vinod Ganapathy","Arpita Patra"],"tags":["cs.CR"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2022-05-10T15:22:52Z","addedAt":"2026-08-06T22:48:49.927Z"},{"id":"arxiv:2005.01503v1","name":"An Integrated Framework for Sensing Radio Frequency Spectrum Attacks on Medical Delivery Drones","source":"arxiv","abstract":"Drone susceptibility to jamming or spoofing attacks of GPS, RF, Wi-Fi, and operator signals presents a danger to future medical delivery systems. A detection framework capable of sensing attacks on drones could provide the capability for active responses. The identification of interference attacks has applicability in medical delivery, disaster zone relief, and FAA enforcement against illegal jamming activities. A gap exists in the literature for solo or swarm-based drones to identify radio frequency spectrum attacks. Any non-delivery specific function, such as attack sensing, added to a drone involves a weight increase and additional complexity; therefore, the value must exceed the disadvantages. Medical delivery, high-value cargo, and disaster zone applications could present a value proposition which overcomes the additional costs. The paper examines types of attacks against drones and describes a framework for designing an attack detection system with active response capabilities for improving the reliability of delivery and other medical applications.","url":"https://arxiv.org/abs/2005.01503v1","authors":["Philip H. Kulp","Nagi Mei"],"tags":["cs.CY","cs.CR","cs.NI","cs.RO"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2020-05-04T14:13:35Z","addedAt":"2026-08-06T22:48:49.927Z"},{"id":"arxiv:2512.23778v1","name":"SyncGait: Robust Long-Distance Authentication for Drone Delivery via Implicit Gait Behaviors","source":"arxiv","abstract":"In recent years, drone delivery, which utilizes unmanned aerial vehicles (UAVs) for package delivery and pickup, has gradually emerged as a crucial method in logistics. Since delivery drones are expensive and may carry valuable packages, they must maintain a safe distance from individuals until user-drone mutual authentication is confirmed. Despite numerous authentication schemes being developed, existing solutions are limited in authentication distance and lack resilience against sophisticated attacks. To this end, we introduce SyncGait, an implicit gait-based mutual authentication system for drone delivery. SyncGait leverages the user's unique arm swing as he walks toward the drone to achieve mutual authentication without requiring additional hardware or specific authentication actions. We conducted extensive experiments on 14 datasets collected from 31 subjects. The results demonstrate that SyncGait achieves an average accuracy of 99.84\\% at a long distance ($&gt;18m$) and exhibits strong resilience against various spoofing attacks, making it a robust, secure, and user-friendly solution in real-world scenarios.","url":"https://arxiv.org/abs/2512.23778v1","authors":["Zijian Ling","Man Zhou","Hongda Zhai","Yating Huang","Lingchen Zhao","Qi Li","Chao Shen","Qian Wang"],"tags":["cs.CR","cs.MM"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2025-12-29T13:31:24Z","addedAt":"2026-08-06T22:48:49.927Z"},{"id":"arxiv:2103.04015v1","name":"Dynamic Resource Management for Providing QoS in Drone Delivery Systems","source":"arxiv","abstract":"Drones have been considered as an alternative means of package delivery to reduce the delivery cost and time. Due to the battery limitations, the drones are best suited for last-mile delivery, i.e., the delivery from the package distribution centers (PDCs) to the customers. Since a typical delivery system consists of multiple PDCs, each having random and time-varying demands, the dynamic drone-to-PDC allocation would be of great importance in meeting the demand in an efficient manner. In this paper, we study the dynamic UAV assignment problem for a drone delivery system with the goal of providing measurable Quality of Service (QoS) guarantees. We adopt a queueing theoretic approach to model the customer-service nature of the problem. Furthermore, we take a deep reinforcement learning approach to obtain a dynamic policy for the re-allocation of the UAVs. This policy guarantees a probabilistic upper-bound on the queue length of the packages waiting in each PDC, which is beneficial from both the service provider's and the customers' viewpoints. We evaluate the performance of our proposed algorithm by considering three broad arrival classes, including Bernoulli, Time-Varying Bernoulli, and Markov-Modulated Bernoulli arrivals. Our results show that the proposed method outperforms the baselines, particularly in scenarios with Time-Varying and Markov-Modulated Bernoulli arrivals, which are more representative of real-world demand patterns. Moreover, our algorithm satisfies the QoS constraints in all the studied scenarios while minimizing the average number of UAVs in use.","url":"https://arxiv.org/abs/2103.04015v1","authors":["Behzad Khamidehi","Majid Raeis","Elvino S. Sousa"],"tags":["cs.RO","cs.LG","cs.MA","math.OC"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2021-03-06T03:11:07Z","addedAt":"2026-08-06T22:48:49.927Z"},{"id":"arxiv:2309.05913v1","name":"Behind The Wings: The Case of Reverse Engineering and Drone Hijacking in DJI Enhanced Wi-Fi Protocol","source":"arxiv","abstract":"This research paper entails an examination of the Enhanced Wi-Fi protocol, focusing on its control command reverse-engineering analysis and subsequent demonstration of a hijacking attack. Our investigation discovered vulnerabilities in the Enhanced Wi-Fi control commands, rendering them susceptible to hijacking attacks. Notably, the study established that even readily available and cost-effective commercial off-the-shelf Wi-Fi routers could be leveraged as effective tools for executing such attacks. To illustrate this vulnerability, a proof-of-concept remote hijacking attack was carried out on a DJI Mini SE drone, whereby we intercepted the control commands to manipulate the drone's flight trajectory. The findings of this research emphasize the critical necessity of implementing robust security measures to safeguard unmanned aerial vehicles against potential hijacking threats. Considering that civilian drones are now used as war weapons, the study underscores the urgent need for further exploration and advancement in the domain of civilian drone security.","url":"https://arxiv.org/abs/2309.05913v1","authors":["Derry Pratama","Jaegeun Moon","Agus Mahardika Ari Laksmono","Dongwook Yun","Iqbal Muhammad","Byeonguk Jeong","Janghyun Ji","Howon Kim"],"tags":["cs.CR"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2023-09-12T02:03:27Z","addedAt":"2026-08-06T22:48:49.927Z"},{"id":"arxiv:2507.17253v1","name":"Optimizing Delivery Logistics: Enhancing Speed and Safety with Drone Technology","source":"arxiv","abstract":"The increasing demand for fast and cost effective last mile delivery solutions has catalyzed significant advancements in drone based logistics. This research describes the development of an AI integrated drone delivery system, focusing on route optimization, object detection, secure package handling, and real time tracking. The proposed system leverages YOLOv4 Tiny for object detection, the NEO 6M GPS module for navigation, and the A7670 SIM module for real time communication. A comparative analysis of lightweight AI models and hardware components is conducted to determine the optimal configuration for real time UAV based delivery. Key challenges including battery efficiency, regulatory compliance, and security considerations are addressed through the integration of machine learning techniques, IoT devices, and encryption protocols. Preliminary studies demonstrate improvement in delivery time compared to conventional ground based logistics, along with high accuracy recipient authentication through facial recognition. The study also discusses ethical implications and societal acceptance of drone deliveries, ensuring compliance with FAA, EASA and DGCA regulatory standards. Note: This paper presents the architecture, design, and preliminary simulation results of the proposed system. Experimental results, simulation benchmarks, and deployment statistics are currently being acquired. A comprehensive analysis will be included in the extended version of this work.","url":"https://arxiv.org/abs/2507.17253v1","authors":["Maharshi Shastri","Ujjval Shrivastav"],"tags":["cs.RO"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2025-07-23T06:49:56Z","addedAt":"2026-08-06T22:48:49.927Z"},{"id":"arxiv:2602.04985v1","name":"Parameterized Algorithms for the Drone Delivery Problem","source":"arxiv","abstract":"Timely delivery and optimal routing remain fundamental challenges in the modern logistics industry. Building on prior work that considers single-package delivery across networks using multiple types of collaborative agents with restricted movement areas (e.g., drones or trucks), we examine the complexity of the problem under structural and operational constraints. Our focus is on minimizing total delivery time by coordinating agents that differ in speed and movement range across a graph. This problem formulation aligns with the recently proposed Drone Delivery Problem with respect to delivery time (DDT), introduced by Erlebach et al. [ISAAC 2022]. We first resolve an open question posed by Erlebach et al. [ISAAC 2022] by showing that even when the delivery network is a path graph, DDT admits no polynomial-time approximation within any polynomially encodable factor $a(n)$, unless P=NP. Additionally, we identify the intersection graph of the agents, where nodes represent agents and edges indicate an overlap of the movement areas of two agents, as an important structural concept. For path graphs, we show that DDT becomes tractable when parameterized by the treewidth $w$ of the intersection graph, and we present an exact FPT algorithm with running time $f(w)\\cdot\\text{poly}(n,k)$, for some computable function $f$. For general graphs, we give an FPT algorithm with running time $f(Δ,w)\\cdot\\text{poly}(n,k)$, where $Δ$ is the maximum degree of the intersection graph. In the special case where the intersection graph is a tree, we provide a simple polynomial-time algorithm.","url":"https://arxiv.org/abs/2602.04985v1","authors":["Simon Bartlmae","Andreas Hene","Joshua Könen","Heiko Röglin"],"tags":["cs.DS"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2026-02-04T19:18:21Z","addedAt":"2026-08-06T22:48:49.927Z"},{"id":"arxiv:1703.08900v1","name":"Some new bounds of placement delivery arrays","source":"arxiv","abstract":"Coded caching scheme is a technique which reduce the load during peak traffic times in a wireless network system. Placement delivery array (PDA in short) was first introduced by Yan et al.. It can be used to design coded caching scheme. In this paper, we prove some lower bounds of PDA on the element and some lower bounds of PDA on the column. We also give some constructions for optimal PDA.","url":"https://arxiv.org/abs/1703.08900v1","authors":["X. Niu","H. Cao"],"tags":["cs.IT"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2017-03-27T02:03:24Z","addedAt":"2026-08-06T22:48:49.927Z"},{"id":"arxiv:2511.12618v1","name":"EcoFlight: Finding Low-Energy Paths Through Obstacles for Autonomous Sensing Drones","source":"arxiv","abstract":"Obstacle avoidance path planning for uncrewed aerial vehicles (UAVs), or drones, is rarely addressed in most flight path planning schemes, despite obstacles being a realistic condition. Obstacle avoidance can also be energy-intensive, making it a critical factor in efficient point-to-point drone flights. To address these gaps, we propose EcoFlight, an energy-efficient pathfinding algorithm that determines the lowest-energy route in 3D space with obstacles. The algorithm models energy consumption based on the drone propulsion system and flight dynamics. We conduct extensive evaluations, comparing EcoFlight with direct-flight and shortest-distance schemes. The simulation results across various obstacle densities show that EcoFlight consistently finds paths with lower energy consumption than comparable algorithms, particularly in high-density environments. We also demonstrate that a suitable flying speed can further enhance energy savings.","url":"https://arxiv.org/abs/2511.12618v1","authors":["Jordan Leyva","Nahim J. Moran Vera","Yihan Xu","Adrien Durasno","Christopher U. Romero","Tendai Chimuka","Gabriel O. Huezo Ramirez","Ziqian Dong","Roberto Rojas-Cessa"],"tags":["cs.RO"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2025-11-16T14:27:21Z","addedAt":"2026-08-06T22:48:49.927Z"},{"id":"arxiv:2508.01671v1","name":"Energy-Predictive Planning for Optimizing Drone Service Delivery","source":"arxiv","abstract":"We propose a novel Energy-Predictive Drone Service (EPDS) framework for efficient package delivery within a skyway network. The EPDS framework incorporates a formal modeling of an EPDS and an adaptive bidirectional Long Short-Term Memory (Bi-LSTM) machine learning model. This model predicts the energy status and stochastic arrival times of other drones operating in the same skyway network. Leveraging these predictions, we develop a heuristic optimization approach for composite drone services. This approach identifies the most time-efficient and energy-efficient skyway path and recharging schedule for each drone in the network. We conduct extensive experiments using a real-world drone flight dataset to evaluate the performance of the proposed framework.","url":"https://arxiv.org/abs/2508.01671v1","authors":["Guanting Ren","Babar Shahzaad","Balsam Alkouz","Abdallah Lakhdari","Athman Bouguettaya"],"tags":["cs.RO","cs.DC","cs.ET"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2025-08-03T08:56:45Z","addedAt":"2026-08-06T22:48:49.927Z"},{"id":"arxiv:2105.10741v1","name":"Tuning of Drone PD Controller Parameters for Medical Supplies Delivery","source":"arxiv","abstract":"During the COVID-19 pandemic and similar outbreaks in the future, drones can be set up to reduce human interaction for medical supplies delivery, which is crucial in times of pandemic. In this short paper, we introduce the use of two evolutionary algorithms for multi-objective optimization (MOO) and tuning the parameters of the PD controller of a drone to follow the 3D desired path.","url":"https://arxiv.org/abs/2105.10741v1","authors":["Azin Shamshirgaran","Hamed Javidi","Dan Simon"],"tags":["eess.SY"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2021-05-22T14:47:36Z","addedAt":"2026-08-06T22:48:49.927Z"},{"id":"arxiv:1702.04240v1","name":"Prospect Theory for Enhanced Cyber-Physical Security of Drone Delivery Systems: A Network Interdiction Game","source":"arxiv","abstract":"The use of unmanned aerial vehicles (UAVs) as delivery systems of online goods is rapidly becoming a global norm, as corroborated by Amazon's \"Prime Air\" and Google's \"Project Wing\" projects. However, the real-world deployment of such drone delivery systems faces many cyber-physical security challenges. In this paper, a novel mathematical framework for analyzing and enhancing the security of drone delivery systems is introduced. In this regard, a zero-sum network interdiction game is formulated between a vendor, operating a drone delivery system, and a malicious attacker. In this game, the vendor seeks to find the optimal path that its UAV should follow, to deliver a purchase from the vendor's warehouse to a customer location, to minimize the delivery time. Meanwhile, an attacker seeks to choose an optimal location to interdict the potential paths of the UAVs, so as to inflict cyber or physical damage to it, thus, maximizing its delivery time. First, the Nash equilibrium point of this game is characterized. Then, to capture the subjective behavior of both the vendor and attacker, new notions from prospect theory are incorporated into the game. These notions allow capturing the vendor's and attacker's i) subjective perception of attack success probabilities, and ii) their disparate subjective valuations of the achieved delivery times relative to a certain target delivery time. Simulation results have shown that the subjective decision making of the vendor and attacker leads to adopting risky path selection strategies which inflict delays to the delivery, thus, yielding unexpected delivery times which surpass the target delivery time set by the vendor.","url":"https://arxiv.org/abs/1702.04240v1","authors":["Anibal Sanjab","Walid Saad","Tamer Başar"],"tags":["cs.GT","cs.IT"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2017-02-11T00:29:30Z","addedAt":"2026-08-06T22:48:49.927Z"},{"id":"arxiv:2404.02442v1","name":"Data-driven Optimization for Drone Delivery Service Planning with Online Demand","source":"arxiv","abstract":"In this study, we develop an innovative data-driven optimization approach to solve the drone delivery service planning problem with online demand. Drone-based logistics are expected to improve operations by enhancing flexibility and reducing congestion effects induced by last-mile deliveries. With rising digitalization and urbanization, however, logistics service providers are constantly grappling with the challenge of uncertain real-time demand. This study investigates the problem of planning drone delivery service through an urban air traffic network to fulfil online and stochastic demand. Customer requests, if accepted, generate profit and are serviced by individual drone flights as per request origins, destinations and time windows. We cast this stochastic optimization problem as a Markov decision process. We present a novel data-driven optimization approach which generates predictive prescriptions of parameters of a surrogate optimization formulation. Our solution method consists of synthesizing training data via lookahead simulations to train a supervised machine learning model for predicting relative link priority based on the state of the network. This knowledge is then leveraged to selectively create weighted reserve capacity in the network and via a surrogate objective function that controls the trade-off between reserve capacity and profit maximization to maximize the cumulative profit earned. Using numerical experiments based on benchmarking transportation networks, the resulting data-driven optimization policy is shown to outperform a myopic policy. Sensitivity analyses on learning parameters reveal insights into the design of efficient policies for drone delivery service planning with online demand.","url":"https://arxiv.org/abs/2404.02442v1","authors":["Aditya Paul","Michael W. Levin","S. Travis Waller","David Rey"],"tags":["math.OC"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2024-04-03T04:00:38Z","addedAt":"2026-08-06T22:48:49.927Z"},{"id":"arxiv:2406.08430v1","name":"Testing Quantum and Simulated Annealers on the Drone Delivery Packing Problem","source":"arxiv","abstract":"Using drones to perform human-related tasks can play a key role in various fields, such as defense, disaster response, agriculture, healthcare, and many others. The drone delivery packing problem (DDPP) arises in the context of logistics in response to an increasing demand in the delivery process along with the necessity of lowering human intervention. The DDPP is usually formulated as a combinatorial optimization problem, aiming to minimize drone usage with specific battery constraints while ensuring timely consistent deliveries with fixed locations and energy budget. In this work, we propose two alternative formulations of the DDPP as a quadratic unconstrained binary optimization (QUBO) problem, in order to test the performance of classical and quantum annealing (QA) approaches. We perform extensive experiments showing the advantages as well as the limitations of quantum annealers for this optimization problem, as compared to simulated annealing (SA) and classical state-of-the-art commercial tools for global optimization.","url":"https://arxiv.org/abs/2406.08430v1","authors":["Sara Tarquini","Daniele Dragoni","Matteo Vandelli","Francesco Tudisco"],"tags":["math.CO","math.OC","quant-ph"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2024-06-12T17:16:02Z","addedAt":"2026-08-06T22:48:49.927Z"},{"id":"arxiv:2606.30680v1","name":"Locker-based Truck-Drone Routing with Integrated Considerations of Pickups, Deliveries, and No-Fly Zones","source":"arxiv","abstract":"Truck-drone delivery is an emerging last-mile logistics mode combining the long-haul capacity of trucks with the flexible service capability of drones. In locker-based operations, smart lockers serve not only as temporary parcel storage facilities but also as automated drone docking and service nodes. These automated nodes support drone takeoff, landing, parcel handover, and battery replacement, thereby significantly extending the service range and operational flexibility of drone-assisted delivery networks. However, practical locker-based delivery systems face complex real-world challenges, requiring the integrated coordination of not only parcel delivery, return pickup, battery-constrained and load-dependent drone flights, but also necessary detours around restricted airspace. To address this practical and multifaceted challenge, this paper introduces a locker-based truck-drone routing problem with integrated considerations of pickups, deliveries, and no-fly zones (LTDRP-PDNF), with the objective of minimizing the total operational cost of a fleet of drone-equipped trucks. We formulate the route construction process as a Markov Decision Process and develop a two-stage deep reinforcement learning-based neural heuristic. The first stage utilizes an attention-based encoder and a Bidirectional Gated Recurrent Unit decoder to solve the truck-only routing problem, formulated as a capacitated vehicle routing problem. The second stage combines a policy-transfer strategy with a hybrid dispatch assignment heuristic to construct fully coordinated truck and drone routes for LTDRP-PDNF. Experiments on instances of different scales demonstrate that the proposed method outperforms metaheuristic and neural heuristic baselines in most cases while maintaining exceptionally short computation times, offering an effective, scalable solution framework under practical operational constraints.","url":"https://arxiv.org/abs/2606.30680v1","authors":["Xuanyu Liu","Hui Hu","Jiao Zhao","Ziliang Wang","Zhengbing He"],"tags":["cs.RO","cs.AI","cs.LG","physics.soc-ph"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2026-06-26T20:20:07Z","addedAt":"2026-08-06T22:48:49.927Z"},{"id":"arxiv:2104.12000v2","name":"A Deep Reinforcement Learning Approach for the Meal Delivery Problem","source":"arxiv","abstract":"We consider a meal delivery service fulfilling dynamic customer requests given a set of couriers over the course of a day. A courier's duty is to pick-up an order from a restaurant and deliver it to a customer. We model this service as a Markov decision process and use deep reinforcement learning as the solution approach. We experiment with the resulting policies on synthetic and real-world datasets and compare those with the baseline policies. We also examine the courier utilization for different numbers of couriers. In our analysis, we specifically focus on the impact of the limited available resources in the meal delivery problem. Furthermore, we investigate the effect of intelligent order rejection and re-positioning of the couriers. Our numerical experiments show that, by incorporating the geographical locations of the restaurants, customers, and the depot, our model significantly improves the overall service quality as characterized by the expected total reward and the delivery times. Our results present valuable insights on both the courier assignment process and the optimal number of couriers for different order frequencies on a given day. The proposed model also shows a robust performance under a variety of scenarios for real-world implementation.","url":"https://arxiv.org/abs/2104.12000v2","authors":["Hadi Jahanshahi","Aysun Bozanta","Mucahit Cevik","Eray Mert Kavuk","Ayşe Tosun","Sibel B. Sonuc","Bilgin Kosucu","Ayşe Başar"],"tags":["cs.LG","cs.AI","math.OC"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2021-04-24T19:01:59Z","addedAt":"2026-08-06T22:48:49.927Z"},{"id":"arxiv:2308.16408v1","name":"Last Mile Delivery with Drones and Sharing Economy","source":"arxiv","abstract":"We consider a combined system of regular delivery trucks and crowdsourced drones, available via a sharing economy platform, to provide a technology-assisted crowd-based last-mile delivery experience. We develop analytical models and methods for a system in which package delivery is performed by a big truck carrying many packages to a neighborhood or a town in a metropolitan area and then the packages are assigned to crowdsourced drone operators to deliver them to their final destinations. We develop several optimization models for various cases of the problem and use a combination of heuristic algorithms to solve this NP-hard problem. Finally, we present computational results for the models and algorithms, and conduct an exhaustive sensitivity analysis to check the influence of different parameters and assumptions on the final results. We also provide extensive managerial insights on the benefits of our proposed model if implemented in practice.","url":"https://arxiv.org/abs/2308.16408v1","authors":["Mehdi Behroozi","Dinghao Ma"],"tags":["math.OC","cs.CG"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2023-08-31T02:24:11Z","addedAt":"2026-08-06T22:48:49.927Z"},{"id":"arxiv:2501.14325v1","name":"Joint Infrastructure Planning and Order Assignment for On-Demand Food-Delivery Services with Coordinated Drones and Human Couriers","source":"arxiv","abstract":"This paper investigates the optimal infrastructure planning and order assignment problem of an on-demand food-delivery platform with a mixed fleet of drones and human couriers. The platform has two delivery modes: (a) ground delivery and (b) drone-assisted delivery (i.e., air delivery). In ground delivery, couriers directly collect and transport orders from restaurants to destinations. For air delivery, the delivery process involves three legs: initially, a human courier picks up the order from the restaurant and transports it to a nearby launchpad, where personnel load the orders onto drones and replace batteries as needed. The loaded drone then transports the order from the launchpad to a kiosk, where another courier retrieves the order from the kiosk for final delivery. The platform must determine the optimal locations for launchpads and kiosks within a transportation network, and devise an order assignment strategy that allocates food-delivery orders between ground and air delivery considering the bundling probabilities of ground deliveries and the waiting times at launchpads and kiosks. We formulate the platform's problem as a mixed-integer nonlinear program and develop a novel neural network-assisted optimization method to obtain high-quality solutions. A case study in Hong Kong validates our model and algorithm, revealing that drone delivery reduces operational costs, minimizes courier fleet size, and increases order bundling opportunities. We also find that the expansion of air delivery services may entail larger delivery times due to the trade-off between the travel time savings induced by the faster air delivery and the associated detours incurred by intermodal transfer and extra waiting times at launchpads and kiosks, which crucially depends on the distance of the orders and the sequence of activating long-distance air delivery routes versus short-distance ones.","url":"https://arxiv.org/abs/2501.14325v1","authors":["Yang Liu","Yitong Shang","Sen Li"],"tags":["eess.SY","math.OC"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2025-01-24T08:36:41Z","addedAt":"2026-08-06T22:48:49.927Z"},{"id":"arxiv:2012.08602v2","name":"Energy-Constrained Delivery of Goods with Drones Under Varying Wind Conditions","source":"arxiv","abstract":"In this paper, we study the feasibility of sending drones to deliver goods from a depot to a customer by solving what we call the Mission-Feasibility Problem (MFP). Due to payload constraints, the drone can serve only one customer at a time. To this end, we propose a novel framework based on time-dependent cost graphs to properly model the MFP and tackle the delivery dynamics. When the drone moves in the delivery area, the global wind may change thereby affecting the drone's energy consumption, which in turn can increase or decrease. This issue is addressed by designing three algorithms, namely: (i) compute the route of minimum energy once, at the beginning of the mission, (ii) dynamically reconsider the most convenient trip towards the destination, and (iii) dynamically select only the best local choice. We evaluate the performance of our algorithms on both synthetic and real-world data. The changes in the drone's energy consumption are reflected by changes in the cost of the edges of the graphs. The algorithms receive the new costs every time the drone flies over a new vertex, and they have no full knowledge in advance of the weights. We compare them in terms of the percentage of missions that are completed with success (the drone delivers the goods and comes back to the depot), with delivered (the drone delivers the goods but cannot come back to the depot), and with failure (the drone neither delivers the goods nor comes back to the depot).","url":"https://arxiv.org/abs/2012.08602v2","authors":["Francesco Betti Sorbelli","Federico Corò","Sajal K. Das","Cristina M. Pinotti"],"tags":["cs.RO"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2020-12-15T20:38:45Z","addedAt":"2026-08-06T22:48:49.927Z"},{"id":"arxiv:2111.11463v1","name":"Drone flight data reveal energy and greenhouse gas emissions savings for small package delivery","source":"arxiv","abstract":"The adoption of Uncrewed Aerial Vehicles (UAVs) for last-mile deliveries will affect the energy productivity of package delivery and require new methods to understand the associated energy consumption and greenhouse gas (GHG) emissions. Here we combine empirical testing of 187 quadcopter flights with first principles analysis to develop a usable energy model for drone package delivery. We develop a machine-learning algorithm to assess energy use across three different flight regimes: takeoff, cruise, and landing. Our model shows that, in the US, a small electric quadcopter drone with a payload of 1 kg would consume approximately 0.05 MJ/km and result in 41 g of CO$_{2}$e per package. The energy per package delivered by drones (0.19 MJ/package) can be up to 96\\% lower than conventional transportation modes. Our open model and generalizable coefficients can assist stakeholders in understanding and improving the energy use of drone package delivery.","url":"https://arxiv.org/abs/2111.11463v1","authors":["Thiago A. Rodrigues","Jay Patrikar","Natalia L. Oliveira","H. Scott Matthews","Sebastian Scherer","Constantine Samaras"],"tags":["eess.SY"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2021-11-22T19:04:25Z","addedAt":"2026-08-06T22:48:49.927Z"},{"id":"arxiv:2209.12314v1","name":"Package Delivery Using Drones with Restricted Movement Areas","source":"arxiv","abstract":"For the problem of delivering a package from a source node to a destination node in a graph using a set of drones, we study the setting where the movements of each drone are restricted to a certain subgraph of the given graph. We consider the objectives of minimizing the delivery time (problem DDT) and of minimizing the total energy consumption (problem DDC). For general graphs, we show a strong inapproximability result and a matching approximation algorithm for DDT as well as NP-hardness and a 2-approximation algorithm for DDC. For the special case of a path, we show that DDT is NP-hard if the drones have different speeds. For trees, we give optimal algorithms under the assumption that all drones have the same speed or the same energy consumption rate. The results for trees extend to arbitrary graphs if the subgraph of each drone is isometric.","url":"https://arxiv.org/abs/2209.12314v1","authors":["Thomas Erlebach","Kelin Luo","Frits C. R. Spieksma"],"tags":["cs.DS"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2022-09-25T20:10:18Z","addedAt":"2026-08-06T22:48:49.927Z"},{"id":"arxiv:2012.09367v1","name":"Extending the Range of Drone-based Delivery Services by Exploration","source":"arxiv","abstract":"Drones have a fairly short range due to their limited battery life. We propose an adaptive exploration techniques to extend the range of drones by taking advantage of physical structures such as tall buildings and trees in urban environments. Our goal is to extend the coverage of a drone delivery service by generating paths for a drone to reach its destination while learning about the energy consumption on each edge on its path in order to optimize its range for future missions. We evaluated the performance of our exploration strategy in finding the set of all reachable destinations in a city, and found that exploring locations near the boundary of the reachable sets according to the current energy model can speed up the learning process.","url":"https://arxiv.org/abs/2012.09367v1","authors":["Tsz-Chiu Au"],"tags":["cs.RO"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2020-12-17T02:42:58Z","addedAt":"2026-08-06T22:48:49.927Z"},{"id":"arxiv:2605.22709v1","name":"TriSweep: A Four-Drone Swarm Framework for Electromagnetic Side-Channel Analysis","source":"arxiv","abstract":"Electromagnetic (EM) side-channel analysis traditionally assumes a stationary, close-proximity probe - a threat model that underestimates aerial adversaries. TriSweep is a simulation framework that designs and evaluates a four-drone swarm architecture for autonomous standoff EM-SCA of embedded microcontrollers at 0.25-1.5 m. Three spatially specialized collector drones - Anchor (full-spectrum), Mask Probe (mask-register loading leakage), and Cipher Probe (masked SubBytes output leakage) - feed a stationary Accumulator drone that performs coherent combining (+4.8 dB SNR gain) and second-order mask cancellation via a centered product of the two spatially separated leakage streams. Evaluated against three real ANSSI ASCAD datasets (ATmega8515 masked AES-128 and 50/100-sample desynchronized variants), the framework achieves a simulated key rank of 18 +/- 1.7 (five-seed) at 0.25 m on the primary masked dataset. Profiling-trace cross-correlation alignment reduces single-drone rank from 89 to 21 on the 100-sample-jitter variant, demonstrating compensation for drone hover vibration. A two-channel CNN in the Accumulator converges to a loss of 0.454 (vs. random baseline 5.545) and improves rank on desynchronized datasets. No physical hardware has been fabricated; prototype construction is the planned next step.","url":"https://arxiv.org/abs/2605.22709v1","authors":["Eric Yocam","Varghese Vaidyan"],"tags":["cs.CR","cs.ET","cs.RO","eess.SY"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2026-05-21T16:47:44Z","addedAt":"2026-08-06T22:48:49.927Z"},{"id":"arxiv:2309.12319v1","name":"Drone Flight Path Architecture","source":"arxiv","abstract":"This project was built from a pre-existing architecture that facilitates the planning and automatic execution of drone routes in a known space through a 3D virtual reality environment. Our work consisted in extending this architecture by integrating a new web component, making use of a 3D map API, to facilitate to people who do not have access to virtual reality hardware, the possibility of planning flight routes that have as parameters the &lt;latitude, longitude&gt; with respect to the globe and also a component in meters that represents the height at which the drone rises in a certain point. Additionally, the configuration possibilities of a route were extended in order to take advantage of one of the components that gives more value and potential to unmanned aircrafts: the use of the camera in multiple contexts and scenarios. The extension of this solution allows the user to assign different camera tasks along the route, see in real time what the camera is capturing and, after the flight, retrieve the multimedia content that was created","url":"https://arxiv.org/abs/2309.12319v1","authors":["Andres Forero Osorio","Carlos Andrés Torres Echeverría"],"tags":["cs.HC"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2023-08-02T23:50:01Z","addedAt":"2026-08-06T22:48:49.927Z"},{"id":"arxiv:2602.15487v1","name":"Drone delivery packing problem on a neutral-atom quantum computer","source":"arxiv","abstract":"Quantum architectures based on neutral atoms have gained significant attention in recent years as specialized computational machines due to their ability to directly encode the independent set constraint on graphs, exploiting the Rydberg blockade mechanism. In this work, we address the Drone Delivery Packing Problem via a hybrid quantum-classical framework leveraging a neutral-atom quantum processing unit (QPU). We reformulate the optimization task as a graph-partitioning problem based on the independent sets (ISs) of a scheduling graph that encodes delivery incompatibilities. Each partition corresponds to deliveries assigned to a single drone, with the objective of minimizing the total number of partitions. While the ISs represent time-feasible schedules, battery-duration constraints are enforced through a classical post-processing routine. This methodology enables the recovery of optimal delivery schedules, provided a sufficient number of samples is collected from the QPU to resolve the solution space. We benchmark the hybrid workflow through numerical emulations and demonstrate its effectiveness on Pasqal's Fresnel QPU, reporting hardware experiments with configurations of up to 100 atoms.","url":"https://arxiv.org/abs/2602.15487v1","authors":["Sara Tarquini","Matteo Vandelli","Francesco Ferrari","Daniele Dragoni","Francesco Tudisco"],"tags":["quant-ph"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2026-02-17T10:52:10Z","addedAt":"2026-08-06T22:48:49.927Z"},{"id":"arxiv:2503.15177v1","name":"Food Delivery Time Prediction in Indian Cities Using Machine Learning Models","source":"arxiv","abstract":"Accurate prediction of food delivery times significantly impacts customer satisfaction, operational efficiency, and profitability in food delivery services. However, existing studies primarily utilize static historical data and often overlook dynamic, real-time contextual factors crucial for precise prediction, particularly in densely populated Indian cities. This research addresses these gaps by integrating real-time contextual variables such as traffic density, weather conditions, local events, and geospatial data (restaurant and delivery location coordinates) into predictive models. We systematically compare various machine learning algorithms, including Linear Regression, Decision Trees, Bagging, Random Forest, XGBoost, and LightGBM, on a comprehensive food delivery dataset specific to Indian urban contexts. Rigorous data preprocessing and feature selection significantly enhanced model performance. Experimental results demonstrate that the LightGBM model achieves superior predictive accuracy, with an R2 score of 0.76 and Mean Squared Error (MSE) of 20.59, outperforming traditional baseline approaches. Our study thus provides actionable insights for improving logistics strategies in complex urban environments. The complete methodology and code are publicly available for reproducibility and further research.","url":"https://arxiv.org/abs/2503.15177v1","authors":["Ananya Garg","Mohmmad Ayaan","Swara Parekh","Vikranth Udandarao"],"tags":["cs.LG"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2025-03-19T13:02:23Z","addedAt":"2026-08-06T22:48:49.927Z"},{"id":"arxiv:2604.23015v1","name":"Approximating Energy-Constrained Drone Delivery Packing Problem for Last-Mile Logistics","source":"arxiv","abstract":"Collaboration between drones and trucks in a last-mile delivery system offers numerous benefits and reduces many challenges of the traditional delivery system. Here, we introduce Drone-Delivery Packing Problem, where a set of parcels, associated with delivery intervals and cost, should be delivered to customer locations. The system comprises a set of identical drones and battery stations along truck's route, where drones swap depleted batteries or recharge them. The objective is to find assignment for all parcels by using the minimum number of drones, subject to the battery budget and compatibility of each drone's assignment. We consider three variants of the problem, based on conflicting characteristics and existence of battery service stations. All are NP-hard, and we have proposed approximation algorithms for each. When there are no battery stations, we propose a constant factor approximation algorithm using first fit decreasing bin packing algorithm. When the intervals are non-conflicting, we design a $(2+ ψ)$-approximation algorithm. In the presence of both battery stations and conflicting intervals, we present a $(4+ψ)$-approximation algorithm. The algorithm is later modified into a $(3+ψ)$-approximation algorithm when the battery service stations act as swapping stations. Here $ψ$ is a function of battery budget, minimum and maximum cost of the deliveries. Finally, we validate our results and compare the performance with the optimum on different instances.","url":"https://arxiv.org/abs/2604.23015v1","authors":["Saswata Jana","Partha Sarathi Mandal"],"tags":["cs.DS"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2026-04-24T21:04:45Z","addedAt":"2026-08-06T22:48:49.927Z"},{"id":"arxiv:2206.04544v2","name":"Service-Oriented Architecture for Drone-based Multi-Package Delivery","source":"arxiv","abstract":"We propose a novel service-oriented architecture for drone-based multi-package delivery in a skyway network. The proposed architecture provides a high-level design for deploying a skyway network in a city for the effective provisioning of drone services. We propose a graph-based heuristic to reduce the search space for optimal service selection in the skyway network. We then find an optimal solution using the selected drone services under a set of constraints. We conduct experiments to demonstrate the efficiency of our proposed approach.","url":"https://arxiv.org/abs/2206.04544v2","authors":["Babar Shahzaad","Athman Bouguettaya"],"tags":["cs.DC","cs.RO"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2022-06-09T14:46:57Z","addedAt":"2026-08-06T22:48:49.927Z"},{"id":"arxiv:1611.04213v2","name":"The Optimal Placement Delivery Arrays","source":"arxiv","abstract":"In wireless networks, coded caching is an effective technique to reduce network congestion during peak traffic times. Recently, a new concept called placement delivery array (PDA) was proposed to characterize the coded caching scheme. So far, only one class of PDAs by Maddah-Ali and Niesen is known to be optimal. In this paper, we mainly focus on constructing optimal PDAs. Firstly, we derive some lower bounds. Next, we present several infinite classes of PDAs, which are shown to be optimal with respect to the new bounds.","url":"https://arxiv.org/abs/1611.04213v2","authors":["Minquan Cheng","Jing Jiang","Qifa Yan","Xiaohu Tang","Haitao Cao"],"tags":["cs.IT"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2016-11-14T00:25:01Z","addedAt":"2026-08-06T22:48:49.927Z"},{"id":"arxiv:2512.02285v1","name":"Edge-Native, Behavior-Adaptive Drone System for Wildlife Monitoring","source":"arxiv","abstract":"Wildlife monitoring with drones must balance competing demands: approaching close enough to capture behaviorally-relevant video while avoiding stress responses that compromise animal welfare and data validity. Human operators face a fundamental attentional bottleneck: they cannot simultaneously control drone operations and monitor vigilance states across entire animal groups. By the time elevated vigilance becomes obvious, an adverse flee response by the animals may be unavoidable. To solve this challenge, we present an edge-native, behavior-adaptive drone system for wildlife monitoring. This configurable decision-support system augments operator expertise with automated group-level vigilance monitoring. Our system continuously tracks individual behaviors using YOLOv11m detection and YOLO-Behavior classification, aggregates vigilance states into a real-time group stress metric, and provides graduated alerts (alert vigilance to flee response) with operator-tunable thresholds for context-specific calibration. We derive service-level objectives (SLOs) from video frame rates and behavioral dynamics: to monitor 30fps video streams in real-time, our system must complete detection and classification within 33ms per frame. Our edge-native pipeline achieves 23.8ms total inference on GPU-accelerated hardware, meeting this constraint with a substantial margin. Retrospective analysis of seven wildlife monitoring missions demonstrates detection capability and quantifies the cost of reactive control: manual piloting results in 14 seconds average adverse behavior duration with 71.9% usable frames. Our analysis reveals operators could have received actionable alerts 51s before animals fled in 57% of missions. Simulating 5-second operator intervention yields a projected performance of 82.8% usable frames with 1-second adverse behavior duration,a 93% reduction compared to manual piloting.","url":"https://arxiv.org/abs/2512.02285v1","authors":["Jenna Kline","Rugved Katole","Tanya Berger-Wolf","Christopher Stewart"],"tags":["eess.SY"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2025-12-01T23:55:14Z","addedAt":"2026-08-06T22:48:49.927Z"},{"id":"arxiv:2108.01996v1","name":"Exact and Heuristic Approaches to Drone Delivery Problems","source":"arxiv","abstract":"The Flying Sidekick Traveling Salesman Problem (FSTSP) considers a delivery system composed by a truck and a drone. The drone launches from the truck with a single package to deliver to a customer. Each drone must return to the truck to recharge batteries, pick up another package, and launch again to a new customer location. This work proposes a novel Mixed Integer Programming (MIP) formulation and a heuristic approach to address the problem. The proposedMIP formulation yields better linear relaxation bounds than previously proposed formulations for all instances, and was capable of optimally solving several unsolved instances from the literature. A hybrid heuristic based on the General Variable Neighborhood Search metaheuristic combining Tabu Search concepts is employed to obtain high-quality solutions for large-size instances. The efficiency of the algorithm was evaluated on 1415 benchmark instances from the literature, and over 80% of the best known solutions were improved.","url":"https://arxiv.org/abs/2108.01996v1","authors":["Júlia C. Freitas","Puca Huachi V. Penna","Túlio A. M. Toffolo"],"tags":["cs.AI","math.OC"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2021-07-29T21:31:50Z","addedAt":"2026-08-06T22:48:49.927Z"},{"id":"arxiv:2206.03103v1","name":"Facility Location with Congestion and Priority in Drone-Based Emergency Delivery","source":"arxiv","abstract":"Thanks to their fast delivery, reduced traffic restrictions, and low manpower need, drones have been increasingly deployed to deliver time-critical materials, such as medication, blood, and exam kits, in emergency situations. This paper considers a facility location model of using drones as mobile servers in emergency delivery. The model jointly optimizes the location of facilities, the capacity of drones deployed at opened facilities, and the allocation of demands, with an objective of equitable response times among all demand sites. To this end, we employ queues to model the system congestion of drone requests and consider three queuing disciplines: non-priority, static priority, and dynamic priority. For each discipline, we approximate the model as a mixed-integer second-order conic program (MISOCP), which can readily be solved in commercial solvers. We conduct extensive computational experiments to demonstrate the effectiveness and accuracy of our approach. Additionally, we compare the system performance under the three queuing disciplines and various problem parameters, from which we produce operational recommendations to decision makers in emergency delivery.","url":"https://arxiv.org/abs/2206.03103v1","authors":["Xin Wang","Ruiwei Jiang","Mingyao Qi"],"tags":["math.OC"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2022-06-07T08:27:47Z","addedAt":"2026-08-06T22:48:49.927Z"},{"id":"arxiv:2103.04118v2","name":"Towards Fully Autonomous Drone-Based Last-Mile Delivery","source":"arxiv","abstract":"The drone-based last-mile delivery is an emerging technology to deliver parcels using drones loaded on a truck. As more and more autonomous vehicles (AVs) will be available for delivery services, an opportunity is arising to fully automate drone-based last-mile delivery. In this paper, we integrate AVs with drone-based last-mile delivery aiming to fully automate the last-mile delivery process. We define a new problem called the autonomous vehicle routing problem with drones (A-VRPD). A-VRPD is to select AVs from a pool of available AVs and to schedule them to serve customers with an objective of minimizing the total operational cost. We formulate A-VRPD as an Integer Linear Programming (ILP) and propose a greedy algorithm to solve the problem based on real-world operational costs for different types of AVs, traveling distances calculated considering the current traffic conditions, and varying load capacities of AVs. Extensive simulations performed under various random delivery scenarios demonstrate that the proposed algorithm effectively increases profits for both the delivery company and AV owners compared with traditional VRP-D (and TSP-D) algorithm-based approaches.","url":"https://arxiv.org/abs/2103.04118v2","authors":["Navid Mohammad Imran","Sabya Mishra","Myounggyu Won"],"tags":["cs.CY"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2021-03-06T14:17:22Z","addedAt":"2026-08-06T22:48:49.927Z"},{"id":"arxiv:2606.20239v1","name":"Optimizing Agricultural Drone Operations: From Launch and Recovery Siting to Tiered Routing Strategies","source":"arxiv","abstract":"Drones are increasingly used in agriculture, where tight margins demand efficient planning. Current optimization tools suffer from exponential runtimes as problem sizes grow, necessitating practical heuristics for daily operations. This paper presents an operational framework and benchmarking analysis for drone spraying operations. We evaluate the trade-offs between facility siting methods and tiered routing parameters. For facility siting, comparing a Mixed-Integer Program (MIP) baseline against a $p$-Median heuristic shows that the heuristic reduces runtime by three orders of magnitude, from over 97 seconds to under 1.2 seconds, with only a 4\\% reduction in serviced field area. For route planning, a tiered problem decomposition approach partitioning the target area into 6 to 8 spatial clusters reduces computation time by an order of magnitude with minimal degradation in serviced area. This framework achieves minute-scale planning on commodity hardware, demonstrating operational relevance. Future research will incorporate weather modeling, integrated optimization of facility location and routing, and validation across diverse field geometries.","url":"https://arxiv.org/abs/2606.20239v1","authors":["Ethan Kolby","Josh Noble","Max Z. Li"],"tags":["math.OC"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2026-06-18T13:49:44Z","addedAt":"2026-08-06T22:48:49.927Z"},{"id":"arxiv:2606.08738v1","name":"Systems-Level Planning and Coordination of Truck-Drone Collaborative Delivery Networks","source":"arxiv","abstract":"Urban last-mile parcel delivery increasingly relies on heterogeneous fleets whose performance depends on timely coordination, reliable communication, and scalable control. Truck-drone collaboration has emerged as a networked cyber-physical delivery paradigm that combines the payload capacity and range efficiency of trucks with the agility of drones in congested or access-limited urban environments. This paper proposes a layered planning and coordination framework that structures truck-drone collaborative delivery (TDCD) from a systems and control perspective. The framework consists of five interrelated layers: spatial-demand alignment, collaborative delivery configuration, resource and workflow orchestration, performance evaluation, and scalability analysis, providing a unified view of coordination, control, and system-level performance in networked delivery operations. The proposed framework is evaluated using a realistic urban last-mile delivery scenario derived from the 2021 Amazon Last Mile Routing Research Challenge dataset. The case study demonstrates how coordinated truck-drone operation, enabled by structured task orchestration and inter-agent synchronization, improves end-to-end system efficiency under operational constraints. Results show a 42.4% reduction in total delivery time and a 44.2% reduction in energy consumption compared to a conventional truck-only delivery model. The scalability analysis further highlights how coordination gains persist as system size increases, and shows the importance of efficient control and communication in heterogeneous delivery networks.","url":"https://arxiv.org/abs/2606.08738v1","authors":["Didem Cicek","Burak Kantarci"],"tags":["cs.NI","cs.RO"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2026-06-07T17:20:12Z","addedAt":"2026-08-06T22:48:49.927Z"},{"id":"arxiv:2402.17409v1","name":"Using Programmable Drone in Educational Projects and Competitions","source":"arxiv","abstract":"The mainstream of educational robotics platforms orbits the various versions of versatile robotics sets and kits, while interesting outliers add new opportunities and extend the possible learning situations. Examples of such are reconfigurable robots, rolling sphere robots, humanoids, swimming, or underwater robots. Another kind within this category are flying drones. While remotely controlled drones were a very attractive target for hobby model makers for quite a long time already, they were seldom used in educational scenarios as robots that are programmed by children to perform various simple tasks. A milestone was reached with the introduction of the educational drone Tello, which can be programmed even in Scratch, or some general-purpose languages such as Node.js or Python. The programs can even have access to the robot sensors that are used by the underlying layers of the controller. In addition, they have the option to acquire images from the drone camera and perform actions based on processing the frames applying computer vision algorithms. We have been using this drone in an educational robotics competition for three years without camera, and after our students have developed several successful projects that utilized a camera, we prepared a new competition challenge that requires the use of the camera. In the article, we summarize related efforts and our experiences with educational drones, and their use in the student projects and competition.","url":"https://arxiv.org/abs/2402.17409v1","authors":["Pavel Petrovič","Peter Verčimák"],"tags":["cs.RO"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2024-02-27T11:01:18Z","addedAt":"2026-08-06T22:48:49.927Z"},{"id":"arxiv:2509.15830v1","name":"Coordinated Multi-Drone Last-mile Delivery: Learning Strategies for Energy-aware and Timely Operations","source":"arxiv","abstract":"Drones have recently emerged as a faster, safer, and cost-efficient way for last-mile deliveries of parcels, particularly for urgent medical deliveries highlighted during the pandemic. This paper addresses a new challenge of multi-parcel delivery with a swarm of energy-aware drones, accounting for time-sensitive customer requirements. Each drone plans an optimal multi-parcel route within its battery-restricted flight range to minimize delivery delays and reduce energy consumption. The problem is tackled by decomposing it into three sub-problems: (1) optimizing depot locations and service areas using K-means clustering; (2) determining the optimal flight range for drones through reinforcement learning; and (3) planning and selecting multi-parcel delivery routes via a new optimized plan selection approach. To integrate these solutions and enhance long-term efficiency, we propose a novel algorithm leveraging actor-critic-based multi-agent deep reinforcement learning. Extensive experimentation using realistic delivery datasets demonstrate an exceptional performance of the proposed algorithm. We provide new insights into economic efficiency (minimize energy consumption), rapid operations (reduce delivery delays and overall execution time), and strategic guidance on depot deployment for practical logistics applications.","url":"https://arxiv.org/abs/2509.15830v1","authors":["Chuhao Qin","Arun Narayanan","Evangelos Pournaras"],"tags":["cs.RO"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2025-09-19T10:00:45Z","addedAt":"2026-08-06T22:48:49.927Z"},{"id":"arxiv:1905.13463v1","name":"Drone-assisted deliveries: new formulations for the Flying Sidekick Traveling Salesman Problem","source":"arxiv","abstract":"In this paper we consider a problem related to deliveries assisted by an unmanned aerial vehicle, so-called drone. In particular we consider the Flying Sidekick Traveling Salesman Problem, where a truck and a drone cooperate to delivery parcels to customers minimizing the completion time. In the following we improve the formulation found in the related literature. We propose three-indexed and two-indexed formulations and a set of inequalities that can be implemented in a branch-and-cut fashion. We could find the optimal solutions for most of the literature instances. Moreover, we consider two versions of the problem: one in which the drone is allowed to wait at the customers, as in the literature, and one where waiting is allowed only in flying mode. The solving methodologies are adapted to both versions. A comparison between the two versions is provided.","url":"https://arxiv.org/abs/1905.13463v1","authors":["Mauro Dell'Amico","Roberto Montemanni","Stefano Novellani"],"tags":["math.OC"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2019-05-31T08:34:45Z","addedAt":"2026-08-06T22:48:49.927Z"},{"id":"arxiv:2503.24301v1","name":"QUADRO: A Hybrid Quantum Optimization Framework for Drone Delivery","source":"arxiv","abstract":"Quantum computing holds transformative potential for optimizing large-scale drone fleet operations, yet its near-term limitations necessitate hybrid approaches blending classical and quantum techniques. This work introduces Quantum Unmanned Aerial Delivery Routing Optimization (QUADRO), a novel hybrid framework addressing the Energy-Constrained Capacitated Unmanned Aerial Vehicle Routing Problem and the Unmanned Aerial Vehicle Scheduling Problem. By formulating these challenges as Quadratic Unconstrained Binary Optimization problems, QUADRO leverages the Quantum Approximate Optimization Algorithm for routing and scheduling, enhanced by classical heuristics and post-processing. We minimize total transit time in routing, considering payload and battery constraints, and optimize makespan scheduling across various drone fleets. Evaluated on adapted Augerat benchmarks (16-51 nodes), QUADRO competes against classical and prior hybrid methods, achieving scalable solutions with fewer than one hundred qubits. The proposed results underscore the viability of hybrid quantum-classical strategies for real-world drone logistics, paving the way for quantum-enhanced optimization in the Noisy Intermediate Scale Quantum era.","url":"https://arxiv.org/abs/2503.24301v1","authors":["James B. Holliday","Darren Blount","Hoang Quan Nguyen","Samee U. Khan","Khoa Luu"],"tags":["cs.ET"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2025-03-31T16:44:42Z","addedAt":"2026-08-06T22:48:49.927Z"},{"id":"arxiv:2602.19535v2","name":"Minimizing Total Travel Time for Collaborative Package Delivery with Heterogeneous Drones","source":"arxiv","abstract":"Given a fleet of drones with different speeds and a set of package delivery requests, the collaborative delivery problem asks for a schedule for the drones to collaboratively carry out all package deliveries, with the objective of minimizing the total travel time of all drones. We show that the best non-preemptive schedule (where a package that is picked up at its source is immediately delivered to its destination by one drone) is within a factor of three of the best preemptive schedule (where several drones can participate in the delivery of a single package). Then, we present a constant-factor approximation algorithm for the problem of computing the best non-preemptive schedule. The algorithm reduces the problem to a tree combination problem and uses a primal-dual approach to solve the latter. We have implemented a version of the algorithm optimized for practical efficiency and report the results of experiments on large-scale instances with synthetic and real-world data, demonstrating that our algorithm is scalable and delivers schedules of excellent quality.","url":"https://arxiv.org/abs/2602.19535v2","authors":["Thomas Erlebach","Kelin Luo","Wen Zhang"],"tags":["cs.DS"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2026-02-23T05:59:36Z","addedAt":"2026-08-06T22:48:49.927Z"},{"id":"arxiv:2104.04664v3","name":"Congestion-aware Bi-modal Delivery Systems Utilizing Drones","source":"arxiv","abstract":"Bi-modal delivery systems are a promising solution to the challenges posed by the increasing demand of e-commerce. Due to the potential benefit drones can have on logistics networks such as delivery systems, some countries have taken steps towards integrating drones into their airspace. In this paper we aim to quantify this potential by developing a mathematical model for a Bi-modal delivery system composed of trucks and drones. We propose an optimization formulation that can be efficiently solved in order to design socially-optimal routing and allocation policies. We incorporate both societal cost in terms of road congestion and parcel delivery latency in our formulation. Our model is able to quantify the effect drones have on mitigating road congestion, and can solve for the path routing needed to minimize the chosen objective. To accurately capture the effect of stopping trucks on road latency, we model it using SUMO by simulating roads shared by trucks and cars. Based on this, we show that the proposed framework is computationally feasible to scale due to its reliance on convex quadratic optimization techniques.","url":"https://arxiv.org/abs/2104.04664v3","authors":["Mark Beliaev","Negar Mehr","Ramtin Pedarsani"],"tags":["math.OC"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2021-04-10T01:50:28Z","addedAt":"2026-08-06T22:48:49.927Z"},{"id":"arxiv:2506.10311v1","name":"The Freight Multimodal Transport Problem with Buses and Drones: An Integrated Approach for Last-Mile Delivery","source":"arxiv","abstract":"This paper proposes a novel freight multimodal transport problem with buses and drones, where buses are responsible for transporting parcels to lockers at bus stops for storage, while drones are used to deliver each parcel from the locker to the corresponding customer. The integrated bus-drone system synergistically expands drone service coverage using the bus network to ensure efficient final delivery. Minimizing the total operational costs while satisfying customer demands necessitates the joint optimization of parcel assignments and drone flights. We model the problem into a compact mixed-integer linear programming formulation and propose an integer programming formulation with exponentially many variables. To address real-world scale instances, we propose a Branch-Price-and-Benders-Cut algorithm for this non-deterministic polynomial-time (NP)-hard problem. This algorithm, integrating column generation and Benders decomposition within a Branch-and-Bound framework, is developed to obtain optimal or near-optimal solutions. Additionally, we introduce algorithmic enhancements aimed at accelerating the convergence of the algorithm. Computational experiments on instances generated from real-world bus data demonstrate that the proposed algorithms outperform CPLEX regarding both efficiency and solution quality. Moreover, our approaches can lead to over 6% cost savings compared to situations where we determine parcel assignments and drone flights sequentially. We evaluate the environmental advantages of integrating buses and drones, study the impact of different cost parameters in the system, and investigate the impact of the parcel locker configuration on performance. These findings provide valuable managerial insights for urban logistics managers, highlighting the potential of the integrated bus-drone system to improve traditional last-mile delivery.","url":"https://arxiv.org/abs/2506.10311v1","authors":["E Su","Hu Qin","Jiliu Li","Rui Zhang"],"tags":["cs.DM"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2025-06-12T02:48:14Z","addedAt":"2026-08-06T22:48:49.927Z"},{"id":"arxiv:2306.10368v1","name":"Algorithms for Multiple Drone-Delivery Scheduling Problem (MDSP)","source":"arxiv","abstract":"The Multiple Drone-Delivery Scheduling Problem (MDSP) is a scheduling problem that optimizes the maximum reward earned by a set of $m$ drones executing a sequence of deliveries on a truck delivery route. The current best-known approximation algorithm for the problem is a $\\frac{1}{4}$-approximation algorithm developed by Jana and Mandal (2022). In this paper, we propose exact and approximation algorithms for the general MDSP, as well as a unit-cost variant. We first propose a greedy algorithm which we show to be a $\\frac{1}{3}$-approximation algorithm for the general MDSP problem formulation, provided the number of conflicting intervals is less than the number of drones. We then introduce a unit-cost variant of MDSP and we devise an exact dynamic programming algorithm that runs in polynomial time when the number of drones $m$ can be assumed to be a constant.","url":"https://arxiv.org/abs/2306.10368v1","authors":["Sagnik Anupam","Nicole Lu","John Sragow"],"tags":["cs.DS"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2023-06-17T15:02:07Z","addedAt":"2026-08-06T22:48:49.927Z"},{"id":"arxiv:2204.01335v1","name":"Logistics in the Sky: A Two-phase Optimization Approach for the Drone Package Pickup and Delivery System","source":"arxiv","abstract":"The application of drones in the last-mile distribution is a research hotspot in recent years. Different from the previous urban distribution mode that depends on trucks, this paper proposes a novel package pick-up and delivery mode and system in which multiple drones collaborate with automatic devices. The proposed mode uses free areas on the top of residential buildings to set automatic devices as delivery and pick-up points of packages, and employs drones to transport packages between buildings and depots. Integrated scheduling problem of package drop-pickup considering m-drone, m-depot, m-customer is crucial for the system. We propose a simulated-annealing-based two-phase optimization approach (SATO) to solve this problem. In the first phase, tasks are allocated to depots for serving, such that the initial problem is decomposed into multiple single depot scheduling problems with m-drone. In the second phase, considering the drone capability constraints and task demand constraints, we generate the route planning scheme for drones in each depot. Concurrently, an improved variable neighborhood descent algorithm (IVND) is designed in the first phase to reallocate tasks, and a local search algorithm (LS) are proposed to search the high-quality solution in the second phase. Finally, extensive experiments and comparative studies are conducted to test the effectiveness of the proposed approach. Experiments indicate that the proposed SATO-IVND can reduce the cost by more than 14% in a reasonable time compared with several other peer algorithms.","url":"https://arxiv.org/abs/2204.01335v1","authors":["Fangyu Hong","Guohua Wu","Qizhang Luo","Huan Liu","Xiaoping Fang","Witold Pedrycz"],"tags":["eess.SY","cs.DS"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2022-04-04T09:08:49Z","addedAt":"2026-08-06T22:48:49.927Z"},{"id":"arxiv:1910.11901v2","name":"Deep Q-Learning for Same-Day Delivery with Vehicles and Drones","source":"arxiv","abstract":"In this paper, we consider same-day delivery with vehicles and drones. Customers make delivery requests over the course of the day, and the dispatcher dynamically dispatches vehicles and drones to deliver the goods to customers before their delivery deadline. Vehicles can deliver multiple packages in one route but travel relatively slowly due to the urban traffic. Drones travel faster, but they have limited capacity and require charging or battery swaps. To exploit the different strengths of the fleets, we propose a deep Q-learning approach. Our method learns the value of assigning a new customer to either drones or vehicles as well as the option to not offer service at all. In a systematic computational analysis, we show the superiority of our policy compared to benchmark policies and the effectiveness of our deep Q-learning approach. We also show that our policy can maintain effectiveness when the fleet size changes moderately. Experiments on data drawn from varied spatial/temporal distributions demonstrate that our trained policies can cope with changes in the input data.","url":"https://arxiv.org/abs/1910.11901v2","authors":["Xinwei Chen","Marlin W. Ulmer","Barrett W. Thomas"],"tags":["cs.LG","stat.ML"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2019-10-25T18:46:24Z","addedAt":"2026-08-06T22:48:49.927Z"},{"id":"arxiv:2206.10765v2","name":"Drone Delivery Systems and Energy Management: A Review and Future Trends","source":"arxiv","abstract":"Advanced technological breakthroughs and exceptional levels of innovation are enhancing the capabilities and potential of autonomous unmanned aerial vehicles (UAVs or drones), and in so doing attracting the interest of a broader swath of logistic companies, online retailers, and governmental agencies. These technology advancements and their impact on regulatory agencies may soon pave the way for the widespread use of drones for delivery and monitoring purposes. Moreover, increasingly urgent environmental factors that include CO2 emissions reductions and other energy-saving approaches are intensifying to need to reduce vehicular usage and congestion, which could further spur their usage. To optimize these systems, drones often employ a hybrid power supply system architecture to boost endurance and performance. Fuel cells, batteries, solar cells, and supercapacitors are examples of power sources that may be combined in a hybrid power architecture. To enable todays drones (and those of the future) to work efficiently, the appropriate energy management system must be selected based on optimal and accurate modeling techniques This chapter provides a comprehensive review of drone energy-supply management and strategic systems to identify their plusses and minuses, as well as suggests recommendations for future research.","url":"https://arxiv.org/abs/2206.10765v2","authors":["Mohammad Sadra Rajabi","Pedram Beigi","Sina Aghakhani"],"tags":["eess.SY"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2022-06-21T22:58:09Z","addedAt":"2026-08-06T22:48:49.927Z"},{"id":"arxiv:2211.00842v1","name":"Delivery by Drones with Arbitrary Energy Consumption Models: A New Formulation Approach","source":"arxiv","abstract":"This paper presents a new approach for formulating the delivery problem by drones with general energy consumption models where the drones visit a set of places to deliver parcels to customers. Drones can perform multiple trips that start and end at a central depot while visiting several customers along their paths. The problem determines the routing and scheduling decisions of the drones in order to minimize the total transportation cost of serving customers. For the first time, the new formulation approach enables us to use the best available energy consumption model without the need of any extra approximations. Though the approach works in a very general setting including non-convex energy consumption models, it is also computationally efficient as the resulting optimization model has a linear relaxation. A numerical study on 255 benchmark instances with up to 50 customers and a specific energy function indicate that all the instances can be solved 20 times faster on average using the new formulation when compared to the best existing branch-and-cut algorithm. All the 15 benchmark instances with 50 customers are solved exactly, whereas none of them has been solved optimally before. Moreover, new instances with up to 150 customers are solved with small error bounds within a few hours. The new approach can be simply applied to consider the extra energy required when a drone needs to continue hovering until opening the delivery time window. It can also be applied to the case where the flight time is dependent on the drone's payload weight. Owing to the flexibility of the new approach, these challenging extensions are formulated as linear optimization models for the first time.","url":"https://arxiv.org/abs/2211.00842v1","authors":["Amir Ahmadi-Javid","Mahla Meskar"],"tags":["math.OC","cs.CE","cs.DM"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2022-11-02T02:56:28Z","addedAt":"2026-08-06T22:48:49.927Z"},{"id":"arxiv:2503.19699v1","name":"Optimal Path Planning and Cost Minimization for a Drone Delivery System Via Model Predictive Control","source":"arxiv","abstract":"In this study, we formulate the drone delivery problem as a control problem and solve it using Model Predictive Control. Two experiments are performed: The first is on a less challenging grid world environment with lower dimensionality, and the second is with a higher dimensionality and added complexity. The MPC method was benchmarked against three popular Multi-Agent Reinforcement Learning (MARL): Independent $Q$-Learning (IQL), Joint Action Learners (JAL), and Value-Decomposition Networks (VDN). It was shown that the MPC method solved the problem quicker and required fewer optimal numbers of drones to achieve a minimized cost and navigate the optimal path.","url":"https://arxiv.org/abs/2503.19699v1","authors":["Muhammad Al-Zafar Khan","Jamal Al-Karaki"],"tags":["cs.AI","cs.MA"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2025-03-25T14:27:29Z","addedAt":"2026-08-06T22:48:49.927Z"},{"id":"arxiv:2208.09067v4","name":"Dynamic Order Fulfillment in Last-Mile Drone Delivery under Demand Uncertainty","source":"arxiv","abstract":"Drones have attracted growing interest in last-mile delivery due to their potential to significantly reduce costs and enhance operational flexibility, particularly in areas of sparse and uncertain demand where traditional truck delivery proves inefficient. This paper addresses the dynamic order fulfillment problem faced by a retailer operating a fleet of drones to service delivery requests that arrive stochastically. These delivery requests may vary in package profiles, delivery locations, and urgency. We adopt a rolling-horizon framework for order fulfillment and devise a two-stage stochastic program aimed at strategically managing existing orders while considering incoming requests that are subject to various uncertainties. A significant challenge in deploying the envisioned two-stage model lies in its incorporation of vehicle routing constraints, on which exact or brute-force methods are computationally inefficient and unsuitable for real-time operational decisions. To address this, we propose an accelerated L-shaped algorithm that (i) reduces the branching tree size, (ii) replaces exact second-stage solutions with heuristic estimates, and (iii) adapts an alternating strategy for adding optimality cuts. The proposed heuristic demonstrates remarkable performance superiority over the exact method, achieving a 20-fold reduction in average runtime while maintaining an average optimality gap of less than 1\\%. We apply the algorithm to a wide range of instances to evaluate the benefits of postponing orders for batch service using the stochastic model. Our results show potential long-term cost savings of up to 20\\% when demand uncertainty is explicitly considered in order fulfillment decisions. Meanwhile, the derived savings tend to diminish as the uncertainty increases in order arrivals.","url":"https://arxiv.org/abs/2208.09067v4","authors":["Linxuan Shi","Zhengtian Xu","Miguel Lejeune","Qi Luo"],"tags":["math.OC"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2022-08-18T21:05:49Z","addedAt":"2026-08-06T22:48:49.927Z"},{"id":"arxiv:2510.13710v1","name":"Investigating Web Content Delivery Performance over Starlink","source":"arxiv","abstract":"Low Earth Orbit (LEO) satellite ISPs promise universal Internet connectivity, yet their interaction with content delivery remains poorly understood. We present the first comprehensive measurement study decomposing Starlink's web content delivery performance decomposed across Point of Presence (PoP), DNS, and CDN layers. Through two years of measurements combining 225K Cloudflare AIM tests, M-Lab data, and active probing from 99 RIPE Atlas and controlled Starlink probes, we collect 6.1M traceroutes and 10.8M DNS queries to quantify how satellite architecture disrupts terrestrial CDN assumptions. We identify three distinct performance regimes based on infrastructure density. Regions with local content-rich PoPs achieve near-terrestrial latencies with the satellite segment dominating 80-90% of RTT. Infrastructure-sparse regions suffer cascading penalties: remote PoPs force distant resolver selection, which triggers CDN mis-localization, pushing latencies beyond 200 ms. Dense-infrastructure regions show minimal sensitivity to PoP changes. Leveraging Starlink's infrastructure expansion in early 2025 as a natural experiment, we demonstrate that relocating PoPs closer to user location reduces median page-fetch times by 60%. Our findings reveal that infrastructure proximity, not satellite coverage, influences web performance, requiring fundamental changes to CDN mapping and DNS resolution for satellite ISPs.","url":"https://arxiv.org/abs/2510.13710v1","authors":["Rohan Bose","Jinwei Zhao","Tanya Shreedhar","Jianping Pan","Nitinder Mohan"],"tags":["cs.NI"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2025-10-15T16:10:29Z","addedAt":"2026-08-06T22:48:49.927Z"},{"id":"arxiv:2410.10159v1","name":"Supply Chain Optimization Strategies: An Empirical Study on Fresh Product Delivery Routes","source":"arxiv","abstract":"In recent years, with rising consumer demand, fresh products have gained increasing attention, leading to rapid growth in the fresh food market. However, due to their perishable nature and sensitivity to storage conditions, fresh products are vulnerable to damage during transportation. Improper handling, excessive transit times, and physical impacts can result in significant losses. As a result, enhancing the efficiency of fresh product distribution while maintaining quality has become critical to the further development of the fresh food industry. Using Y chain supermarket as a case study, this paper investigates the logistics of fresh product distribution, identifying current challenges and inefficiencies. Through literature review, expert interviews, and comparative analysis, the study offers strategic recommendations for optimizing fresh product delivery routes to improve distribution efficiency and product quality.","url":"https://arxiv.org/abs/2410.10159v1","authors":["Yu Yuan","Xiaoke Xie","Yulei Xie"],"tags":["econ.GN"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2024-10-14T05:00:03Z","addedAt":"2026-08-06T22:48:49.927Z"},{"id":"arxiv:2604.13292v1","name":"See&amp;Say: Vision Language Guided Safe Zone Detection for Autonomous Package Delivery Drones","source":"arxiv","abstract":"Autonomous drone delivery systems are rapidly advancing, but ensuring safe and reliable package drop-offs remains highly challenging in cluttered urban and suburban environments where accurately identifying suitable package drop zones is critical. Existing approaches typically rely on either geometry-based analysis or semantic segmentation alone, but these methods lack the integrated semantic reasoning required for robust decision-making. To address this gap, we propose See&amp;Say, a novel framework that combines geometric safety cues with semantic perception, guided by a Vision-Language Model (VLM) for iterative refinement. The system fuses monocular depth gradients with open-vocabulary detection masks to produce safety maps, while the VLM dynamically adjusts object category prompts and refines hazard detection across time, enabling reliable reasoning under dynamic conditions during the final delivery phase. When the primary drop-pad is occupied or unsafe, the proposed See&amp;Say also identifies alternative candidate zones for package delivery. We curated a dataset of urban delivery scenarios with moving objects and human activities to evaluate the approach. Experimental results show that See&amp;Say outperforms all baselines, achieving the highest accuracy and IoU for safety map prediction as well as superior performance in alternative drop zone evaluation across multiple thresholds. These findings highlight the promise of VLM-guided segmentation-depth fusion for advancing safe and practical drone-based package delivery.","url":"https://arxiv.org/abs/2604.13292v1","authors":["Mahyar Ghazanfari","Peng Wei"],"tags":["cs.CV"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2026-04-14T20:54:31Z","addedAt":"2026-08-06T22:48:49.927Z"},{"id":"arxiv:2607.16596v1","name":"Cold-Start Model Delivery in Kubernetes Inference Serving: An Empirical Study of OCI-Based Distribution and Its Integrity","source":"arxiv","abstract":"The startup latency of a model-serving pod on Kubernetes is dominated by one step: delivering the model weights. As models reach the hundred-gigabyte weights of large language models, cold-start delivery time governs the economics of autoscaling and scale-to-zero, yet the dominant mechanisms remain ad-hoc downloads from object storage, with none of the pull caching, digest addressing, or verification Kubernetes provides for container images. We analyze the delivery paths available to a Kubernetes serving platform along two axes: which component pulls the artifact, and whether any admission-time verifier can bind the deployed reference to the arriving bytes. We validate the analysis upstream in KServe, a widely deployed CNCF model-serving platform, by implementing two new delivery paths: oci+native://, which mounts model images as Kubernetes image volumes (KEP-4639), merged upstream, and oci+fetch://, which pulls OCI artifacts inside the storage initializer, under review. We report, to our knowledge, the first controlled comparison of model delivery paths in a Kubernetes serving platform (modelcar sidecars, native image volumes, object-storage download) on artifacts sized to fp16 weights of 1B-, 7B-, and 70B-class models (2-140 GB). Node-cached OCI delivery makes warm replica addition size-independent: 11.7 s for a 70B-class artifact versus 40.7 minutes of re-download over object storage, a 208x difference, while the first cold pull costs up to 2x a plain download, localized to containerd's blob-write-then-unpack double pass. For models on s3://, gs://, or hf:// URIs, where no admission-time verifier observes the bytes, we present a serving-time integrity design proposed to the KServe community: digest pinning and OpenSSF model-signing enforcement in the storage initializer. Streaming hash verification during download adds under 0.1% to delivery time; a post-download pass adds up to 53%.","url":"https://arxiv.org/abs/2607.16596v1","authors":["Georgii Kliukovkin"],"tags":["cs.DC"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2026-07-18T02:31:13Z","addedAt":"2026-08-06T22:48:49.927Z"},{"id":"arxiv:1909.11840v5","name":"Efficient Large-Scale Multi-Drone Delivery Using Transit Networks","source":"arxiv","abstract":"We consider the problem of controlling a large fleet of drones to deliver packages simultaneously across broad urban areas. To conserve energy, drones hop between public transit vehicles (e.g., buses and trams). We design a comprehensive algorithmic framework that strives to minimize the maximum time to complete any delivery. We address the multifaceted complexity of the problem through a two-layer approach. First, the upper layer assigns drones to package delivery sequences with a near-optimal polynomial-time task allocation algorithm. Then, the lower layer executes the allocation by periodically routing the fleet over the transit network while employing efficient bounded-suboptimal multi-agent pathfinding techniques tailored to our setting. Experiments demonstrate the efficiency of our approach on settings with up to $200$ drones, $5000$ packages, and transit networks with up to $8000$ stops in San Francisco and Washington DC. Our results show that the framework computes solutions typically within a few seconds on commodity hardware, and that drones travel up to $360 \\%$ of their flight range with public transit.","url":"https://arxiv.org/abs/1909.11840v5","authors":["Shushman Choudhury","Kiril Solovey","Mykel J. Kochenderfer","Marco Pavone"],"tags":["cs.RO","cs.AI","cs.MA"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2019-09-26T01:47:18Z","addedAt":"2026-08-06T22:48:49.927Z"},{"id":"arxiv:1801.05456v2","name":"The Delivery of Water During Terrestrial Planet Formation","source":"arxiv","abstract":"The planetary building blocks that formed in the terrestrial planet region were likely very dry, yet water is comparatively abundant on Earth. We review the various mechanisms proposed for the origin of water on the terrestrial planets. Various in-situ mechanisms have been suggested, which allow for the incorporation of water into the local planetesimals in the terrestrial planet region or into the planets themselves from local sources, although all of those mechanisms have difficulties. Comets have also been proposed as a source, although there may be problems fitting isotopic constraints, and the delivery efficiency is very low, such that it may be difficult to deliver even a single Earth ocean of water this way. The most promising route for water delivery is the accretion of material from beyond the snow line, similar to carbonaceous chondrites, that is scattered into the terrestrial planet region as the planets are growing. Two main scenarios are discussed in detail. First is the classical scenario in which the giant planets begin roughly in their final locations and the disk of planetesimals and embryos in the terrestrial planet region extends all the way into the outer asteroid belt region. Second is the Grand Tack scenario, where early inward and outward migration of the giant planets implants material from beyond the snow line into the asteroid belt and terrestrial planet region, where it can be accreted by the growing planets. Sufficient water is delivered to the terrestrial planets in both scenarios. While the Grand Tack scenario provides a better fit to most constraints, namely the small mass of Mars, planets may form too fast in the nominal case discussed here. This discrepancy may be reduced as a wider range of initial conditions is explored. Finally, we discuss several more recent models that may have important implications for water delivery to the terrestrial planets.","url":"https://arxiv.org/abs/1801.05456v2","authors":["David P. O'Brien","Andre Izidoro","Seth A. Jacobson","Sean N. Raymond","David C. Rubie"],"tags":["astro-ph.EP"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2018-01-16T19:25:44Z","addedAt":"2026-08-06T22:48:49.927Z"},{"id":"arxiv:2605.09342v1","name":"A Cross-Layered Multi-Drone Coordination for Medical Supply Delivery during Disaster Response Management","source":"arxiv","abstract":"Autonomous drone fleets have immense potential in medical supply delivery during disaster incident response. However, coordinating multiple drones in such settings introduces compounding challenges: dynamic environmental hazards such as wind, obstacles, and intermittent network connectivity, constrained energy budgets, and the need to serve patient locations fairly under deadlines and triage-based priority while optimizing schedule utilization. In this paper, we present CEDA, a novel CTDE Deep Q-Network algorithm for cooperative multi-drone medical delivery, designed to jointly optimize triage-priority-aware routing, multi-agent coordination, and energy-efficient navigation under dynamic uncertainty. CEDA introduces a Priority-Preserving Fair Scheduling strategy, in which a structured reward function encodes both triage weights and complementary fairness mechanisms ensuring no patient class is starved of service. We evaluate CEDA in a simulated grid environment featuring dynamic hazard zones, stochastic action failures, and dynamically spawning patients across three triage priority levels, as well as in a PX4 SITL validation using two X500 quadrotors controlled via MAVSDK in offboard position mode. Simulation results demonstrate that CEDA achieves a delivery completion rate above 85%, reduces obstacle collisions by over 90% across training, and delivers an average of 6 patients per episode with a triage efficiency of 0.82. CEDA preserves clinical priority ordering, Critical patients are served first, while achieving near-zero mortality across lower-triage classes, confirming that priority-weighted routing does not condemn Stable or Urgent patients to neglect. PX4 SITL validation further demonstrates that the learned policy remains executable and triage-coherent under practical communication constraints and realistic multi-drone coordination in disaster response settings.","url":"https://arxiv.org/abs/2605.09342v1","authors":["Aneesh Calyam","Subrahmanya Chandra Bhamidipati","Zack Murry","Sharan Srinivas"],"tags":["cs.MA","cs.LG"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2026-05-10T05:43:51Z","addedAt":"2026-08-06T22:48:49.927Z"},{"id":"arxiv:2504.15147v2","name":"The Iterative Chainlet Partitioning Algorithm for the Traveling Salesman Problem with Drone and Neural Acceleration","source":"arxiv","abstract":"This study introduces the Iterative Chainlet Partitioning (ICP) algorithm and its neural acceleration for solving the Traveling Salesman Problem with Drone (TSP-D). The proposed ICP algorithm decomposes a TSP-D solution into smaller segments called chainlets, each optimized individually by a dynamic programming subroutine. The chainlet with the highest improvement is updated, and the procedure is repeated until no further improvement is possible. We show that the subroutine runs in quadratic time and the number of subroutine calls is bounded linearly in problem size for the first iteration and remains constant in subsequent iterations, ensuring algorithmic scalability. Empirical results show that ICP outperforms existing algorithms in both solution quality and computational time. Tested over 1,249 benchmark instances, ICP yields an average improvement of 2.6\\% in solution quality over the previous state-of-the-art algorithm while reducing computational time by 91.3\\%. The procedure is deterministic, ensuring reliability without requiring multiple runs. The subroutine is the computational bottleneck in the already efficient ICP algorithm. To reduce the necessity of subroutine calls, we integrate a graph neural network (GNN) to predict incremental improvements. We demonstrate that the resulting Neuro ICP (NICP) achieves substantial acceleration while maintaining solution quality. Compared to ICP, NICP reduces the total computational time by 28.6\\%, while the objective function value increase is limited to 0.14\\%. A transfer learning framework enables efficient extension to various operational constraints, making this a valuable foundation for developing efficient algorithms for truck-drone synchronized routing problems.","url":"https://arxiv.org/abs/2504.15147v2","authors":["Jae Hyeok Lee","Minwoo Kim","Minjun Kim","Jinkyoo Park","Changhyun Kwon"],"tags":["cs.NE"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2025-04-21T14:51:15Z","addedAt":"2026-08-06T22:48:49.927Z"},{"id":"arxiv:2111.13050v1","name":"The vehicle routing problem with drones and drone speed selection","source":"arxiv","abstract":"Joint parcel delivery by trucks and drones has enjoyed significant attention for some time, as the advantages of one delivery method offset the disadvantages of the other. This paper focuses on the vehicle routing problem with drones and drone speed selection (VRPD-DSS), which considers speed-dependent energy consumption and drone-charging in detail. For this purpose, we formulate a comprehensive mixed-integer problem that aims to minimize the operational costs consisting of fuel consumption costs of the trucks, labor costs for the drivers, and energy costs of the drones. The speed at which a drone performs a flight must be selected from a discrete set. We introduce preprocessing steps to eliminate dominated speeds for a flight to reduce the problem size and use valid inequalities to accelerate the solution process. The consideration of speed-dependent energy consumption leads to the fact that it is advisable to perform different flights at different speeds and not to consistently operate a drone at maximum speed. Instead, drone speed should be selected to balance drone range and speed of delivery. Our extensive computational study of a rural real-world setting shows that, by modeling energy consumption realistically, the savings in operational costs compared to truck-only delivery are significant but smaller than those identified in previously published work. Our analysis further reveals that the greatest savings stem from the fact that overall delivery time decreases compared to truck-only delivery, allowing costly truck-driver time to be reduced. The additional energy costs of the drone, however, are largely negligible.","url":"https://arxiv.org/abs/2111.13050v1","authors":["Felix Tamke","Udo Buscher"],"tags":["cs.DM","math.OC"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2021-11-25T12:22:46Z","addedAt":"2026-08-06T22:48:49.927Z"},{"id":"doi:10.7249/rr1718.3","name":"International Commercial Drone Regulation and Drone Delivery Services","source":"crossref","abstract":"","url":"https://doi.org/10.7249/rr1718.3","authors":["Therese Jones"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2017-12-05T10:54:43Z","addedAt":"2026-08-06T22:48:49.927Z","doi":"10.7249/rr1718.3","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.2139/ssrn.5098756","name":"Drone Delivery","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.5098756","authors":["Disha Lohia"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-03-10T13:50:37Z","addedAt":"2026-08-06T22:48:49.927Z","doi":"10.2139/ssrn.5098756","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.14711/thesis-991013222953403412","name":"On-Time Delivery by Drone Resupply","source":"crossref","abstract":"","url":"https://doi.org/10.14711/thesis-991013222953403412","authors":["Wenqian Liu"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-09-21T22:45:02Z","addedAt":"2026-08-06T22:48:49.927Z","doi":"10.14711/thesis-991013222953403412","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.2139/ssrn.5702485","name":"Truck-Drone Collaborative Delivery with a Mobile Drone Station Trailer","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.5702485","authors":["Zhiyuan Shi","Shaozhi Hong","Ang Li"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-11-04T10:55:46Z","addedAt":"2026-08-06T22:48:49.927Z","doi":"10.2139/ssrn.5702485","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.51680/ev.35.2.8","name":"Drone last mile delivery: An assessment of the viable market and security potential of drone delivery","source":"crossref","abstract":"Purpose: the paper includes a review of the literature in the field of drones, drone technology, possible implementation in the field of the last mile concept, legislation, suitability of technology in the field of security, weather conditions, social acceptance and later focuses on checking the possible implementation of drones according to the set parameters. Methodology: for the purposes of research and obtaining answers to the posed research question and hypotheses, we used the method of literature review in the selected field, panel data analysis, conducted interviews with experts in the field of delivery drones in the Republic of Slovenia, and conducted secondary research. Results: the results show an assessment of the possible implementation of drones based on the analysis of the obtained data and interviews. We determined a realistic assessment of the potential of delivery drones, in which we included several vital aspects necessary for implementation. Conclusion: it was found that the current technology is not yet fully adequate, and significant technological improvements are also needed. It is also necessary to plan integrated urban spatial solutions that will enable safe and efficient delivery in the supply chain. Namely, delivery with drones is currently ineffective due to flight safety, harmful sound emissions and the inability to fly in bad weather conditions. Based on a literature review and a survey among large logistics companies, it was found that there are still many barriers to implementation due to legal norms and regulations, which are currently very constructive. It is unlikely, however, that parcel delivery will take off in an urban environment soon, as there are still many unknowns. With proper planning and use of suburban consolidation centres, e-vans, e-cars and bicycles are currently economically viable for last mile delivery.","url":"https://doi.org/10.51680/ev.35.2.8","authors":["Igor Grofelnik","Uroš Godnov","Marjan Sternad"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2022-12-19T14:58:36Z","addedAt":"2026-08-06T22:48:49.927Z","doi":"10.51680/ev.35.2.8","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.1109/tevc.2023.3344350/mm1","name":"Locating Drone Stations for a Truck-Drone Delivery System in Continuous Space_supp1-3344350.pdf","source":"crossref","abstract":"","url":"https://doi.org/10.1109/tevc.2023.3344350/mm1","authors":["Alice E Smith"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-12-20T14:31:34Z","addedAt":"2026-08-06T22:48:49.927Z","doi":"10.1109/tevc.2023.3344350/mm1","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.2139/ssrn.5252367","name":"Simulation-Based Validation of Delivery Drone Energy Consumption","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.5252367","authors":["SungHyuk Choi"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-05-13T07:42:42Z","addedAt":"2026-08-06T22:48:49.927Z","doi":"10.2139/ssrn.5252367","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.21203/rs.3.rs-96209/v2","name":"WITHDRAWN: The Drone delivery problem in disaster and pandemics","source":"crossref","abstract":"Abstract The authors have requested that this preprint be withdrawn due to erroneous posting.","url":"https://doi.org/10.21203/rs.3.rs-96209/v2","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2020-11-04T17:04:43Z","addedAt":"2026-08-06T22:48:49.927Z","doi":"10.21203/rs.3.rs-96209/v2","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.1201/9781003529217-15","name":"Drone Delivery Systems","source":"crossref","abstract":"","url":"https://doi.org/10.1201/9781003529217-15","authors":["Oleksandra Molloy"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-07-27T15:34:05Z","addedAt":"2026-08-06T22:48:49.927Z","doi":"10.1201/9781003529217-15","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.7249/rr1718","name":"What's the Buzz? The City-Scale Impacts of Drone Delivery","source":"crossref","abstract":"","url":"https://doi.org/10.7249/rr1718","authors":["Andrew Lohn"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2017-09-08T22:51:20Z","addedAt":"2026-08-06T22:48:49.927Z","doi":"10.7249/rr1718","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.32469/10355/91688","name":"Hybrid truck-drone systems for last-mile delivery logistics","source":"crossref","abstract":"[EMBARGOED UNTIL 6/1/2023] With growing consumer demand and expectations, companies are attempting to achieve cost-efficient and faster delivery operations. The integration of autonomous vehicles, such as aerial and ground drones, in the last-mile network design, could curtail many operational challenges and provide a competitive advantage. This dissertation deals with the problem of delivering orders to a set of customer locations using multiple drones that operate in conjunction with a single truck. Four variants of the problem are considered. The first variant takes advantage of the drone eet by parallelizing the delivery tasks via concurrently dispatching the drones from a truck parked at a focal point (ideal drone launch location) to the nearby customer locations. The key decisions to be optimized are the partitioning of delivery locations into small clusters, identifying a focal point per cluster, and routing the truck through all focal points such that the customer orders in each cluster are fulfilled either by a drone or truck. The first problem variant restricts each focal point to one of the customer locations, while the second addresses the same delivery problem when allowing truck viii stops to be anywhere in the delivery area (i.e., a customer or non-customer location). Mathematical programming models are developed to jointly optimize both the clustering and routing decisions. The third variant suggests allowing the usage of non-customer locations (referred to as exible sites) as truck stops for drone launch and recovery operations (LARO). This relaxes a common constraint in the literature restricting the drone LARO to customer locations. The proposed variant also accounts for three key decisions - (i) assignment of each customer location to a vehicle, (ii) routing of truck and UAVs, and (iii) scheduling drone LARO and truck operator activities at each stop, which are always not simultaneously considered in the literature. A mixed integer linear programming (MILP) model is formulated to jointly optimize the three decisions. Furthermore, to handle large problem instances, we develop an optimization-enabled two-phase search algorithm by hybridizing simulated annealing and variable neighborhood search. The fourth variant in this dissertation proposes utilizing a network of docking stations and repositioning of drones to enhance the efficacy of delivery operations. In particular, such stations are used for drone docking before and after delivery operations to avoid both loading all required drones to the truck at the depot and waiting of the truck on its route to recover drones. A MILP model is formulated to optimize the management of this setting of facilities and delivery operations. Finally, extensive computational experiments are conducted in this dissertation for the four variants to obtain several insights aiding the logistics practitioners in decision making.","url":"https://doi.org/10.32469/10355/91688","authors":["Mohamed Salama"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2022-09-14T16:44:37Z","addedAt":"2026-08-06T22:48:49.927Z","doi":"10.32469/10355/91688","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.1109/icra55743.2025.11127517","name":"Decentralized Drone Swaps for Online Rebalancing of Drone Delivery Tasks","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icra55743.2025.11127517","authors":["Kamran Vakil","Alyssa Pierson"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-09-02T17:28:56Z","addedAt":"2026-08-06T22:48:49.927Z","doi":"10.1109/icra55743.2025.11127517","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.1002/9781394168002.ch17","name":"Drone Delivery","source":"crossref","abstract":"","url":"https://doi.org/10.1002/9781394168002.ch17","authors":["V. Sakthivel","Sourav Patel","Jae Woo Lee","P. Prakash"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-05-12T21:24:10Z","addedAt":"2026-08-06T22:48:49.927Z","doi":"10.1002/9781394168002.ch17","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.2139/ssrn.4080821","name":"Collaborative Truck Multi-Drone Delivery System Considering Drone Scheduling and En-Route Operations","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.4080821","authors":["Teena Thomas","Sharan Srinivas","Chandrasekharan Rajendran"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2022-04-12T04:49:49Z","addedAt":"2026-08-06T22:48:49.927Z","doi":"10.2139/ssrn.4080821","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.1109/isiber68248.2026.11470066","name":"Drone Potentials in Last-Mile Delivery: Determinants Impact on Behavioral Intention of Goods Delivery by Drone","source":"crossref","abstract":"","url":"https://doi.org/10.1109/isiber68248.2026.11470066","authors":["Dang Vo Gia Le","Tuan-Kiet H.V. Truong","Nam Hoang Dang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-04-16T19:50:26Z","addedAt":"2026-08-06T22:48:49.927Z","doi":"10.1109/isiber68248.2026.11470066","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.2139/ssrn.5289946","name":"Regulating Drone Delivery Networks","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.5289946","authors":["Ramsay Eyre"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-06-13T19:32:31Z","addedAt":"2026-08-06T22:48:49.927Z","doi":"10.2139/ssrn.5289946","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.64628/aai.f74prsgxh","name":"Obstacle avoidance: The challenge for drone package delivery","source":"crossref","abstract":"","url":"https://doi.org/10.64628/aai.f74prsgxh","authors":["Michael Braasch"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-08-26T07:23:57Z","addedAt":"2026-08-06T22:48:49.927Z","doi":"10.64628/aai.f74prsgxh","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.32907/ro-127-1965754101","name":"Optimisation of truck-drone parcel delivery using GRASP","source":"crossref","abstract":"","url":"https://doi.org/10.32907/ro-127-1965754101","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2021-12-06T11:34:19Z","addedAt":"2026-08-06T22:48:49.927Z","doi":"10.32907/ro-127-1965754101","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.3390/su152316342","name":"Truck-Drone Pickup and Delivery Problem with Drone Weight-Related Cost","source":"crossref","abstract":"Truck-drone delivery is widely used in logistics distribution for achieving sustainable development, in which drone weight greatly affects transportation cost. Thus, we consider a new combined truck-drone pickup and delivery problem with drone weight-related cost in the context of last-mile logistics. A system of integer programming is formulated with the objective of minimizing the total cost of the drone weight-related cost, fixed vehicle cost and travel distance cost. An improved adaptive large neighborhood search algorithm (IALNS) is designed based on the characteristics of the problem, several effective destroy and repair operators are designed to explore the solution space, and a simulated annealing strategy is introduced to avoid falling into the local optimal solution. To evaluate the performance of the IALNS algorithm, 72 instances are randomly generated and tested. The computational results on small instances show that the proposed IALNS algorithm performs better than CPLEX both in efficiency and effectiveness. When comparing the truck-drone pickup and delivery problem with drone weight-related cost to the problem without drone weight-related cost, it is found that ignoring the drone weight constraints leads to an underestimate of the total travel cost by 12.61% based on the test of large instances.","url":"https://doi.org/10.3390/su152316342","authors":["Yang Xia","Tingying Wu","Beixin Xia","Junkang Zhang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-11-27T11:54:48Z","addedAt":"2026-08-06T22:48:49.927Z","doi":"10.3390/su152316342","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.2139/ssrn.4994845","name":"Integrating Mobile Edge Computing in Drone Delivery: A Holistic Service Provision Strategy for Drone-Based Healthcare Logistics","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.4994845","authors":["Tejinder Singh","Dr. Yerasani Sinjana","Dr. Anuj Pal Kapoor"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-10-21T21:37:33Z","addedAt":"2026-08-06T22:48:49.927Z","doi":"10.2139/ssrn.4994845","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.2139/ssrn.6892959","name":"&lt;p&gt;Future Prospects of Drone Delivery Services in the Food Delivery Industry of Punjab&lt;/p&gt;","source":"crossref","abstract":"Drone delivery is becoming a major innovation in the logistics and food delivery sectors. This research project examines the future of drone delivery services in the food delivery industry in Punjab. The study explores technological progress, legal regulations, operational advantages and obstacles, and consumer perceptions of this new delivery method. The research uses a descriptive and exploratory methodology, drawing from both primary and secondary data. The results show that drone delivery has the potential to enhance the speed, efficiency, and reach of delivery services, particularly in urban and distant regions. Nevertheless, several challenges, including strict regulations, technical hurdles, and the need for proper infrastructure, continue to hinder its widespread use. With government support and ongoing technological improvements, drone delivery is likely to become a key part of Punjab's future logistics system.","url":"https://doi.org/10.2139/ssrn.6892959","authors":["Harnoor Matharhu"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-06-26T14:48:23Z","addedAt":"2026-08-06T22:48:49.927Z","doi":"10.2139/ssrn.6892959","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.33424/futurum704","name":"What should a delivery drone look like?","source":"crossref","abstract":"","url":"https://doi.org/10.33424/futurum704","authors":["Shiva Nischal Lingam"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-06-30T01:34:56Z","addedAt":"2026-08-06T22:48:49.927Z","doi":"10.33424/futurum704","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.2139/ssrn.4710035","name":"Integrated Truck Drone Delivery Services with an Optimal Charging Stations","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.4710035","authors":["Dev Mishra","Manvendra Tiwari"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-01-30T12:20:17Z","addedAt":"2026-08-06T22:48:49.927Z","doi":"10.2139/ssrn.4710035","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.2139/ssrn.5370435","name":"Hybrid Truck-Drone Delivery with Droneport Coordination in Urban Logistics","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.5370435","authors":["Shamik Pushkar","Elkafi Hassini"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-07-29T08:46:23Z","addedAt":"2026-08-06T22:48:49.927Z","doi":"10.2139/ssrn.5370435","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.64628/aa.rmtwee9t3","name":"Is drone delivery a modern miracle or a band-aid fix for poor urban planning? I went to Australia’s ‘drone zones’ to find out","source":"crossref","abstract":"","url":"https://doi.org/10.64628/aa.rmtwee9t3","authors":["Thao Phan"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-08-25T07:19:30Z","addedAt":"2026-08-06T22:48:49.927Z","doi":"10.64628/aa.rmtwee9t3","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.2139/ssrn.6574359","name":"Location-Routing Problem for Takeout Delivery Under Drone-Rider Joint Delivery Mode with Dynamic Orders","source":"crossref","abstract":"The location-routing problem in delivery services represents a significant challenge within the e-commerce sector, particularly characterized by constraints in delivery range, inefficient routing of orders, elevated operational costs, and diminished customer satisfaction. These challenges become increasingly pronounced in environments characterized by dynamic order arrival patterns. This research introduces an innovative delivery framework that integrates drone stations within a collaborative drone-rider delivery system, specifically designed to accommodate the complexities introduced by dynamically arriving orders. The principal objectives of this proposed model are the reduction of overall delivery expenditures and the enhancement of customer satisfaction metrics. To achieve these objectives, a two-stage heuristic solution methodology is developed. During the initial phase, the Affinity Propagation clustering algorithm is employed to dynamically allocate incoming customer orders to appropriate drone stations, utilizing Euclidean distance as the primary criterion. In the subsequent phase, a novel hybrid algorithm, which integrates Adaptive Large Neighborhood Search with the Dung Beetle Optimization algorithm (ALNS-DBO), is implemented to optimize delivery routes in real-time, responding effectively to the evolving order pool. Numerical experiments, drawing upon operational scenarios from Meituan&amp;apos;s takeout services in China and utilizing adapted versions of the Solomon benchmark dataset, provide empirical evidence that the proposed delivery framework delivers superior performance compared to traditional rider-exclusive systems. The demonstrated advantages include a substantial expansion of serviceable areas, significant reductions in both delivery duration and cost, and a marked improvement in customer satisfaction levels, all within a dynamic order environment.","url":"https://doi.org/10.2139/ssrn.6574359","authors":["Fuqiang Lu","Jialong Liu","Ziteng Wang","Bihua Ling"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-04-14T09:57:28Z","addedAt":"2026-08-06T22:48:49.927Z","doi":"10.2139/ssrn.6574359","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.1109/mc.2019.2942290","name":"Practical Drone Delivery","source":"crossref","abstract":"","url":"https://doi.org/10.1109/mc.2019.2942290","authors":["Eitan Frachtenberg"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2019-11-21T21:12:37Z","addedAt":"2026-08-06T22:48:49.927Z","doi":"10.1109/mc.2019.2942290","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.1109/sii55687.2023.10039137","name":"Drone airfield location determination method for parcel delivery by vehicle and drone","source":"crossref","abstract":"","url":"https://doi.org/10.1109/sii55687.2023.10039137","authors":["Satoru Hori","Norihisa Komoda","Takenao Ohkawa"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-02-16T21:26:35Z","addedAt":"2026-08-06T22:48:49.927Z","doi":"10.1109/sii55687.2023.10039137","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.2139/ssrn.5092064","name":"A Truck-Drone Delivery Problem with Location and Routing Decisions Under Uncertainty","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.5092064","authors":["Okan Dukkanci"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-01-10T14:39:16Z","addedAt":"2026-08-06T22:48:49.927Z","doi":"10.2139/ssrn.5092064","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.2139/ssrn.6814722","name":"The Bus-Assisted Drone Delivery Problem: Integrating Public Transport and Drones for Last-Mile Delivery","source":"crossref","abstract":"&lt;p&gt;We consider an innovative last-mile delivery paradigm that uses drones in collaboration with public transport to deliver parcels from warehouses to customers. Drones can hitchhike on public transport during parcel delivery and/or return trips, thereby saving energy and enhancing efficiency. Specifically, we deliver a set of parcels from warehouses to customers using drones, in collaboration with several bus lines, aiming to minimize the sum of the completion times of all orders. This problem, referred to as the Bus-Assisted Drone Delivery Problem, is non-deterministic polynomial-time (NP)-hard. We present a compact integer programming formulation, but it can handle only small-scale instances. To address instances of meaningful size, we propose an alternative formulation with exponentially many variables. This formulation tightly couples drone routing and bus‑riding decisions. Building on this, we design a Branch-and-Price-and-Cut (BPC) algorithm with a specialized label‑setting method that uses a step‑function label representation and dominance rules to efficiently prune unpromising labels. We further accelerate it by pre‑enumerating feasible labels, lower‑bounding label propagation, label‑space relaxation, and variable fixing. To handle larger instances, we design a matheuristic based on the BPC algorithm. Extensive experiments using instances derived from real-world data are conducted. We show that the BPC algorithm significantly outperforms solving the compact formulation directly with an off-the-shelf solver, highlight the substantial benefits of the algorithmic enhancements, and demonstrate that the matheuristic can efficiently obtain high-quality solutions. More importantly, we present valuable managerial insights. The drone service area can be expanded by up to 42% using properly selected bus routes, especially under limited drone battery capacity. Moreover, introducing public buses can promote drone sharing among warehouses, thereby reducing the total delivery time by up to 17%. The magnitude of this reduction increases with the imbalance in warehouse demand and the number of available bus lines. Further, riding public buses can reduce drone energy consumption by up to 40% but increases the total completion time. The magnitude of this energy-time trade-off depends on both bus speed and the tightness of customer time windows. Finally, we investigate bus route selection and demonstrate the benefits of making slight adjustments to align routes with warehouse proximity.&lt;/p&gt;","url":"https://doi.org/10.2139/ssrn.6814722","authors":["Bipan Zou","Yuqian Shi","Jiliu Li","Rui Zhang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-07-29T13:35:47Z","addedAt":"2026-08-06T22:48:49.927Z","doi":"10.2139/ssrn.6814722","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.1211/pj.2022.1.151490","name":"NHS receives £10m to develop national drone medicine delivery service in Scotland","source":"crossref","abstract":"","url":"https://doi.org/10.1211/pj.2022.1.151490","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2022-07-29T10:40:24Z","addedAt":"2026-08-06T22:48:49.927Z","doi":"10.1211/pj.2022.1.151490","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.1139/dsa-2024-0015","name":"Modifying a mini drone for remote drug delivery for wildlife medicine","source":"crossref","abstract":"Remote drug delivery is an essential tool for administering medication to wildlife. However, the conventional method, the dart gun, has limitations in terms of injection distance, posing risks for operators. This study aimed to modify a mini drone equipped with a dart syringe and delivery system for use with large wildlife. A commercial mini drone was modified to release a syringe dart using a vertical gravity-based delivery system. The performance of the drone and delivery system was evaluated based on accuracy to the target and penetration ability through pig skin. The evaluation compared a dart with or without a plastic shell, with tests conducted both indoors and outdoors. The results indicated that the higher the drone’s flight, the more the dart tended to deviate from the target. In outdoor tests, a syringe dart without a shell showed greater accuracy than a dart with a shell. Regarding penetration ability, only a dart without a shell had a 100% success rate at a maximum height of 5 m, with an overall statistical difference ( P = 0.01). In conclusion, this study represents the first scientific validation of using mini drones for remote drug injections that could be used in large wildlife medicine.","url":"https://doi.org/10.1139/dsa-2024-0015","authors":["Marnoch Yindee","Patcharapol Khumngoen","Wallaya Manatchaiworakul","Tuempong Wongtawan"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-06-26T21:35:10Z","addedAt":"2026-08-06T22:48:49.927Z","doi":"10.1139/dsa-2024-0015","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.56726/irjmets31972","name":"MEDICAL DELIVERY DRONE","source":"crossref","abstract":"","url":"https://doi.org/10.56726/irjmets31972","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2022-12-16T08:26:37Z","addedAt":"2026-08-06T22:48:49.927Z","doi":"10.56726/irjmets31972","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.2172/1129145","name":"The Need for a Life Cycle Assessment of Drone-Based Commercial Package Delivery","source":"crossref","abstract":"","url":"https://doi.org/10.2172/1129145","authors":["Joshuah Stolaroff"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2014-05-08T19:22:28Z","addedAt":"2026-08-06T22:48:49.927Z","doi":"10.2172/1129145","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.46354/i3m.2024.emss.014","name":"Topology Effects in Drone Parcel Delivery","source":"crossref","abstract":"","url":"https://doi.org/10.46354/i3m.2024.emss.014","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-10-29T11:20:37Z","addedAt":"2026-08-06T22:48:49.927Z","doi":"10.46354/i3m.2024.emss.014","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.1136/bmj.o1709","name":"Chemotherapy delivery service by drone lifts off","source":"crossref","abstract":"","url":"https://doi.org/10.1136/bmj.o1709","authors":["Alison Shepherd"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2022-07-12T15:50:11Z","addedAt":"2026-08-06T22:48:49.927Z","doi":"10.1136/bmj.o1709","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.1109/bmeicon64021.2024.10896289","name":"Medical Delivery Drone","source":"crossref","abstract":"","url":"https://doi.org/10.1109/bmeicon64021.2024.10896289","authors":["Ladfah Gantiya","Chuchart Pintaviooj"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-02-26T18:46:19Z","addedAt":"2026-08-06T22:48:49.927Z","doi":"10.1109/bmeicon64021.2024.10896289","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.1002/net.21847","name":"Drone delivery from trucks: Drone scheduling for given truck routes","source":"crossref","abstract":"Last mile deliveries with unmanned aerial vehicles (also denoted as drones) are seen as one promising idea to reduce excessive road traffic. To overcome the difficulties caused by the comparatively short operating ranges of drones, an innovative concept suggests to apply trucks as mobile landing and take‐off platforms. In this context, the paper on hand schedules the delivery to customers by drones for given truck routes. Given a fixed sequence of stops constituting a truck route and a set of customers to be supplied, we aim at a drone schedule (i.e., a set of trips each defining a drone's take‐off and landing stop and the customer serviced), such that all customers are supplied and the total duration of the delivery tour is minimized. We differentiate whether multiple drones or just a single one are placed on a truck and whether or not take‐off and landing stops have to be identical. We provide an analysis of computational complexity for each resulting subproblem, introduce efficient mixed‐integer programs, and compare all cases with regard to their potential of reducing the delivery effort on the last mile.","url":"https://doi.org/10.1002/net.21847","authors":["Nils Boysen","Dirk Briskorn","Stefan Fedtke","Stefan Schwerdfeger"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2018-10-05T23:43:31Z","addedAt":"2026-08-06T22:48:49.927Z","doi":"10.1002/net.21847","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.5220/0012464100003639","name":"Economic Sustainability in Last-Mile Drone Delivery Problem with Fulfillment Centers: A Mathematical Formulation","source":"crossref","abstract":"","url":"https://doi.org/10.5220/0012464100003639","authors":["Maria Bruni","Sara Khodaparasti","Guido Perboli"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-02-29T05:31:03Z","addedAt":"2026-08-06T22:48:49.927Z","doi":"10.5220/0012464100003639","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.2139/ssrn.5157991","name":"Exploring The Role Of IoT In Autonomous Logistics And Drone Delivery Systems","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.5157991","authors":["Sai'd Zaynab","Sheriffdeen Kayode"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-04-28T18:20:26Z","addedAt":"2026-08-06T22:48:49.927Z","doi":"10.2139/ssrn.5157991","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.1016/j.eswa.2026.132974","name":"Capacitated team orienteering with split delivery-based coordinated routing of truck-drone and drone-drone","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.eswa.2026.132974","authors":["Hongtao Lei","Lu Zhen","Haoling Shi","Yang Pan","Cheng Zhu"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-05-25T15:10:41Z","addedAt":"2026-08-06T22:48:49.927Z","doi":"10.1016/j.eswa.2026.132974","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.2139/ssrn.7097204","name":"Empty-Return Energy Waste in Drone Last-Mile Delivery: Diagnostic Benchmarking and Factor Decomposition","source":"crossref","abstract":"Last-mile drone delivery generates structural waste: empty return legs consume energy without payload. We present a dual MILP framework contrasting mandatory origin-return against nearest-station return (theoretical lower bound), introducing two standardized metrics: the empty-return energy ratio and the Waste Gap. A three-scenario × three-factor full-factorial experiment yields three findings. (1) The mean Waste Gap is 1.72%, with avoidable waste below 3.9% in 85.3% of configurations. (2) Scenario dominates, exceeding the influence of package weight by a factor of approximately 10, with negligible interactions. (3) Optimization priorities are scenario-differentiated: urban networks are near-optimal, suburban settings require diagnosis before investment, and mountainous regions demand additional stations or truck–drone cooperation. High-waste cases (1.7% of configurations) occur exclusively under mountainous terrain, light payload, low customer density. Findings are robust to terrain and station density. We synthesize these results into a scenario-differentiated decision matrix, transforming empty-return waste from intuition into a quantifiable diagnostic.","url":"https://doi.org/10.2139/ssrn.7097204","authors":["Zhou Huaiyuan"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-07-11T01:53:36Z","addedAt":"2026-08-06T22:48:49.927Z","doi":"10.2139/ssrn.7097204","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.71443/9789349552203-09","name":"Emergency Medical Supply Delivery Using AI-Based Route Optimization and Autonomous Drone Systems","source":"crossref","abstract":"The integration of autonomous drones and AI-based route optimization is revolutionizing emergency medical supply delivery, offering unprecedented efficiency and reliability in critical healthcare logistics. With the ability to navigate complex environments, these drones significantly reduce delivery times, particularly in remote, underserved, or disaster-stricken areas. This chapter explores the technological advancements, regulatory challenges, and real-world applications of drones in medical supply chains, emphasizing the importance of AI-powered decision-making, redundancy systems, and fail-safe mechanisms in ensuring operational safety and reliability. The evolving role of AI algorithms in route planning, real-time data integration, and predictive maintenance is highlighted, demonstrating how these systems adapt to dynamic conditions and ensure timely deliveries. Case studies from global projects underscore the scalability and impact of drone-based delivery systems in various healthcare settings. Finally, the chapter discusses the legal, regulatory, and ethical considerations that must be addressed to fully harness the potential of autonomous drones in emergency response. The convergence of cutting-edge drone technology, AI, and healthcare logistics marks a pivotal step toward optimizing medical deliveries and saving lives in critical situations.","url":"https://doi.org/10.71443/9789349552203-09","authors":["Lalman Patel"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-04-02T09:26:08Z","addedAt":"2026-08-06T22:48:49.927Z","doi":"10.71443/9789349552203-09","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.2139/ssrn.4900248","name":"Drone-Assisted Delivery Optimization: Balancing Time and Cost with Multiple Truck Routes for Efficient Service","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.4900248","authors":["SHALABH SINGH"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-07-20T17:48:08Z","addedAt":"2026-08-06T22:48:49.927Z","doi":"10.2139/ssrn.4900248","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.17577/ijertv9is080100","name":"Medicine Delivery Drone","source":"crossref","abstract":"","url":"https://doi.org/10.17577/ijertv9is080100","authors":["Pragati Jain"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2020-08-17T05:53:08Z","addedAt":"2026-08-06T22:48:49.927Z","doi":"10.17577/ijertv9is080100","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.36227/techrxiv.24619209.v1","name":"A Collaborative Drone-Truck Delivery System with Memetic Computing Optimization","source":"crossref","abstract":"With technological breakthroughs, drone deliveries have become increasingly popular, especially during the COVID-19 pandemic. Driven by both economical benefit and efficiency, drone-truck combined deliveries are in demand. However, it is very challenging to handle the collaboration between trucks and drones. Existing methods for truck-only routing cannot be directly applied, since their solution representations and search operators cannot consider the drone-truck collaborations effectively. In this paper, we model the system as Traveling Salesman Problem with Drones (TSP-D), and propose a new memetic algorithm named MATSP-D for solving it. Specifically, we design a new drone-truck solution representation and develop new crossover and local search operators under the new representation, which can modify the drone services effectively. MATSP-D conducts exploration by crossover, and exploitation by a variable neighborhood search process. The experimental results show that the proposed MATSP-D significantly outperforms the state-of-the-art algorithms for most test instances, especially the large instances with more complex collaborations between the truck and drone. Further analysis verifies the effectiveness of the newly developed local search operators in searching for better drone-truck collaborations.","url":"https://doi.org/10.36227/techrxiv.24619209.v1","authors":["Ruonan Zhai","Yi Mei","Tong Guo","Wenbo Du"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-12-02T09:26:57Z","addedAt":"2026-08-06T22:48:49.927Z","doi":"10.36227/techrxiv.24619209.v1","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.2139/ssrn.6369378","name":"Analyse the Behavioural Intention for Acceptance of Drone-based Grocery Delivery System","source":"crossref","abstract":"&lt;div&gt; The research project aims to explore the factors that influence consumers' intention to engage in digitalization, particularly focusing on drone delivery services. Through a comprehensive analysis of survey data, the study examines the impact of perceived risk, trust in data-driven applications, perceived usefulness, financial motivation, and environmental factors on the intention to use drone delivery services. Structural equation modeling (SEM) is employed to assess the relationships between these variables and their effects on consumer intention. &lt;/div&gt; &lt;div&gt; &lt;br&gt; &lt;/div&gt; &lt;div&gt; &amp;nbsp;The findings reveal that perceived risk negatively affects trust and intention to engage in drone delivery, while trust positively influences consumer intention. Financial motivation, perceived usefulness, and trust in data-driven applications have significant positive impacts on intention. Furthermore, the study highlights the importance of understanding demographic variables, such as age, income, and employment status, in tailoring drone delivery services to specific consumer groups.&amp;nbsp; &lt;/div&gt; &lt;div&gt; &lt;br&gt; &lt;/div&gt; &lt;div&gt; The research concludes that reducing perceived risk, fostering trust, and emphasizing financial and practical benefits are critical for promoting wider acceptance and use of drone delivery services. These insights provide valuable guidance for service providers and policymakers in designing strategies to enhance customer satisfaction and encourage the successful adoption of digitalization in drone delivery. &lt;/div&gt;","url":"https://doi.org/10.2139/ssrn.6369378","authors":["Nikhil D Jonathan","Dhanapriya K"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-03-27T04:23:11Z","addedAt":"2026-08-06T22:48:49.927Z","doi":"10.2139/ssrn.6369378","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.64628/ab.hqfqsu3hf","name":"The design decisions behind Amazon’s strange-looking delivery drone","source":"crossref","abstract":"","url":"https://doi.org/10.64628/ab.hqfqsu3hf","authors":["Pejman Iravani","Jonathan Bois","David Cleaver"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-08-26T09:12:19Z","addedAt":"2026-08-06T22:48:49.927Z","doi":"10.64628/ab.hqfqsu3hf","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.1109/iceci69159.2026.11519465","name":"Secure and Resilient Medical Payload Delivery in Disaster Zones Using Drone-to-Drone Communication and Centralized Coordination","source":"crossref","abstract":"","url":"https://doi.org/10.1109/iceci69159.2026.11519465","authors":["Salman Ali","Ankur Kumar","Mansoor Alam"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-05-20T19:50:16Z","addedAt":"2026-08-06T22:48:49.927Z","doi":"10.1109/iceci69159.2026.11519465","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.2139/ssrn.4571161","name":"Approximation Algorithms for Drone Delivery Scheduling With a Fixed Number of Drones","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.4571161","authors":["Saswata Jana","Partha Sarathi Mandal"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-09-13T18:25:02Z","addedAt":"2026-08-06T22:48:49.927Z","doi":"10.2139/ssrn.4571161","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.2139/ssrn.3314556","name":"The Drone Delivery Problem","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.3314556","authors":["Okan Dukkanci","Bahar Y. Kara","Tolga Bektas"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2019-01-16T11:34:08Z","addedAt":"2026-08-06T22:48:49.927Z","doi":"10.2139/ssrn.3314556","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.1109/syscon.2017.7934790","name":"Optimization of a modular drone delivery system","source":"crossref","abstract":"","url":"https://doi.org/10.1109/syscon.2017.7934790","authors":["Jaihyun Lee"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2017-05-29T16:22:08Z","addedAt":"2026-08-06T22:48:49.927Z","doi":"10.1109/syscon.2017.7934790","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.1007/978-3-030-98574-5_9","name":"Strategic Deployment of Drone Centers and Fleet Size Planning for Drone Delivery","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-030-98574-5_9","authors":["David Sacharny","Thomas Henderson"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2022-05-09T07:03:04Z","addedAt":"2026-08-06T22:48:49.927Z","doi":"10.1007/978-3-030-98574-5_9","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.21203/rs.3.rs-5614125/v1","name":"An Optimization Approach for Blood Supply Chain Management Integrating Drone Delivery Method","source":"europepmc","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-5614125/v1","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2024","addedAt":"2026-08-06T22:48:49.927Z","doi":"10.21203/rs.3.rs-5614125/v1","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.1108/oxan-es254958","name":"Amazon’s approval boosts prospects for drone delivery","source":"crossref","abstract":"Headline INT: Amazon approval boosts drone delivery outlook","url":"https://doi.org/10.1108/oxan-es254958","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2020-09-01T12:47:48Z","addedAt":"2026-08-06T22:48:49.927Z","doi":"10.1108/oxan-es254958","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.2139/ssrn.4189367","name":"Hybrid Truck-Drone Delivery Under Aerial Traffic Congestion","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.4189367","authors":["Ruifeng She","Yanfeng Ouyang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2022-09-07T05:50:00Z","addedAt":"2026-08-06T22:48:49.927Z","doi":"10.2139/ssrn.4189367","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.22215/etd/2023-15358","name":"Human Factors in Drone Delivery of Automatic External Defibrillators for Out of Hospital Cardiac Arrest: Older Adult Considerations","source":"crossref","abstract":"","url":"https://doi.org/10.22215/etd/2023-15358","authors":["Lauren Tierney"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-04-03T20:07:36Z","addedAt":"2026-08-06T22:48:49.927Z","doi":"10.22215/etd/2023-15358","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.4135/9781071928875","name":"The Drone and Robot on Your Street: The Future of Food Delivery","source":"crossref","abstract":"","url":"https://doi.org/10.4135/9781071928875","authors":["Arpita Agnihotri","Saurabh Bhattacharya"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-01-10T13:43:05Z","addedAt":"2026-08-06T22:48:49.927Z","doi":"10.4135/9781071928875","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.1063/5.0274527","name":"Security factor identification of drone delivery system based on blockchain","source":"crossref","abstract":"Traditional drone delivery systems usually rely on centralized management. They face problems such as insufficient data security and privacy protection, as well as difficulty in information sharing. They also lack real-time automated security monitoring and emergency response mechanisms. To solve these problems, this paper implements a security enhancement solution based on blockchain technology to improve drone delivery systems’ security, transparency, and automated response capabilities. During the research process, a comprehensive analysis of the security threats the drone delivery system faces is conducted first. Key attack surfaces such as communication security, data integrity, identity authentication, and permission management are identified. Typical attack scenarios are built. Subsequently, a blockchain-based security enhancement solution is designed. A distributed trust mechanism, a dynamic response mechanism driven by smart contracts, and a full lifecycle monitoring and traceability mechanism are constructed to enhance data security, system transparency, and automation capabilities. Finally, the effectiveness of the proposed solution is verified through experiments. The experimental results show that the drone delivery system using the blockchain security enhancement solution is superior to the unenhanced system in terms of security, efficiency, and stability. Taking security as an example, when responding to GPS (Global Positioning System) spoofing attacks, the average spoofing detection rate of the enhanced system is 87.67%, significantly higher than the 40% of the unenhanced system. Under DDoS (Distributed Denial of Service attack) attacks, the attack success rates of the enhanced system under different attack intensities are 10.2%, 18.9%, and 41.5%, respectively. In comparison, the attack success rates of the unenhanced system are 23.5%, 49.7%, and 81.3%, respectively. Regarding data tampering protection, the protection success rate of the enhanced system is 94.33%, while that of the unenhanced system is 62.6%. The research results of this paper provide new theoretical support and practical guidance for the security of drone delivery systems.","url":"https://doi.org/10.1063/5.0274527","authors":["Yang Zhang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-07-28T17:03:27Z","addedAt":"2026-08-06T22:48:49.927Z","doi":"10.1063/5.0274527","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.21203/rs.3.rs-96209/v1","name":"WITHDRAWN: The Drone delivery problem in disaster and pandemics","source":"crossref","abstract":"Abstract Recently, the use of drone is growing in importance in several fields. Their capacity toavoid traffic jam and operate without a human pilot, make it the perfect method tohome delivery in natural disasters and pandemics. This paper addresses the dronedelivery problem inside Covid-19 outbreak area where quarantine status has beenapplied. This problem aims to minimize the time spent by a drone to complete thehome delivery of pharmaceutical products and other indispensable goods to a set ofresidents inside the quarantine area. We propose a new mathematical formulation forthe problem, and we develop a simulated annealing algorithm to solve large sizedinstances. To show the performance of our metaheuristic; extensive computationalexperience inspired by a real case of study in Morocco (Nador) are realized. Ourresults confirm that the proposed metaheuristic is a better alternative to solve the dronedelivery problem in disaster and pandemics than the commercial solver (CPLEX 12.7)","url":"https://doi.org/10.21203/rs.3.rs-96209/v1","authors":["Issam El Hammouti","Azza Lajjam","Mohamed El Merouani"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2020-10-29T09:22:23Z","addedAt":"2026-08-06T22:48:49.927Z","doi":"10.21203/rs.3.rs-96209/v1","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.17961/jdmr.28.02.202504.21","name":"Commercialization Strategy for Customized Drone Delivery in Tourist Areas under the K-Drone Delivery Model: A Case Study of Ulju-gun","source":"crossref","abstract":"","url":"https://doi.org/10.17961/jdmr.28.02.202504.21","authors":["So-Ra Baek"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-04-17T02:44:26Z","addedAt":"2026-08-06T22:48:49.927Z","doi":"10.17961/jdmr.28.02.202504.21","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.2514/6.2020-3208","name":"Drone Delivery Multi-Agent Routing Optimization","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2020-3208","authors":["Wouter Van Gijseghem","Umang Agarwal"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2020-06-08T17:02:08Z","addedAt":"2026-08-06T22:48:49.927Z","doi":"10.2514/6.2020-3208","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.2139/ssrn.7230428","name":"Revealing the Transport Implementation Gap in Drone Delivery: A Dual-Source Systematic Evidence Synthesis","source":"crossref","abstract":"Autonomous drone delivery has emerged as a promising freight transportation mode, yet the transition from flight capability to reliable service requires integration beyond the vehicle itself. The extent to which research supports this broader implementation process remains unclear.,This study develops a dual-source systematic evidence synthesis framework to quantify the transport implementation gap in drone delivery research. A global academic corpus of 13,984 unique publications from five scholarly databases was complemented by a non-academic evidence repository of 415 records from industry, government, and media sources. Evidence was analysed through the Transport Implementation Lifecycle and Drone Delivery Ground Ecosystem framework.,Results reveal a substantial imbalance: academic studies are concentrated on autonomous movement (57.12%), operational optimisation, and digital systems, whereas physical infrastructure (1.07%) and destination-level integration remain underrepresented. Non-academic evidence demonstrates that real-world deployment challenges frequently emerge from ground-level factors including infrastructure limitations, regulatory uncertainty, and community interaction.,The findings indicate a transport implementation gap between technological maturity and system-level deployment readiness. The proposed framework provides a pathway for reorienting research from isolated flight autonomy toward integrated autonomous transportation systems.","url":"https://doi.org/10.2139/ssrn.7230428","authors":["Guodong Yang","Mengyuan Sun"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-08-04T09:48:32Z","addedAt":"2026-08-06T22:48:49.927Z","doi":"10.2139/ssrn.7230428","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.17233/sosyoekonomi.2023.04.05","name":"The Use of New Technologies in Logistics: Drone (UAV) Use in Last Mile Delivery","source":"crossref","abstract":"The increasing volume of e-commerce has complicated delivery operations, making it imperative to diversify the processes. Industry leaders have attempted to use drones, autonomous vehicles, electric vehicles, etc., in delivery processes. The research examined the adoption of consumer drone usage in delivery. The Technology Acceptance Model (TAM) was used in the study. In the analysis method, Partial Least Squares-Structural Equation Modelling (PLS-SEM), which is commonly used in the literature for multiple relationships due to the presence of multiple dependent and mediating variables, was used with the Smart PLS software package. Only the H5 hypothesis was rejected in the research, and the other hypotheses were accepted. When examining the hypothesis results, it was concluded that people are open to technological innovations and have a positive outlook on using drones in future product delivery processes.","url":"https://doi.org/10.17233/sosyoekonomi.2023.04.05","authors":["Yavuz TORAMAN","Tuncel ÖZ"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-10-26T11:28:28Z","addedAt":"2026-08-06T22:48:49.927Z","doi":"10.17233/sosyoekonomi.2023.04.05","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.2139/ssrn.4633632","name":"Optimization of Drone Logistics Delivery Routes Considering Comprehensive Risks in Urban Environments","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.4633632","authors":["Ya Wen","Qixin Zhang","Rui Yan"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-11-15T04:19:16Z","addedAt":"2026-08-06T22:48:49.927Z","doi":"10.2139/ssrn.4633632","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.71443/9789349552203-16","name":"Retail and E-Commerce Drone Delivery Systems Using AI, Cloud Computing, and Logistics Optimization","source":"crossref","abstract":"The integration of drone technology into retail and e-commerce delivery systems has revolutionized the logistics sector, offering unprecedented advantages in terms of speed, efficiency, and cost reduction. This chapter explores the multifaceted role of Artificial Intelligence (AI), Cloud Computing, and Logistics Optimization in enhancing the performance of drone-based delivery systems. The focus is on key technological advancements that drive the efficiency, safety, and scalability of drone operations, particularly in the context of last-mile delivery. AI algorithms enable real-time route optimization, predictive analytics, and autonomous decision-making, while cloud platforms provide seamless coordination and management of drone fleets across diverse operational environments. Despite the significant potential, challenges related to regulatory frameworks, data security, and consumer privacy persist, requiring innovative solutions for safe and secure integration into commercial airspace. The chapter delves into the complexities of optimizing payloads and delivery speeds, addressing regulatory and ethical concerns, and ensuring robust data protection mechanisms. By evaluating current trends and future opportunities, this work provides insights into the strategic implications of adopting drone delivery systems for global supply chains, with a focus on enhancing customer experience and operational efficiency.","url":"https://doi.org/10.71443/9789349552203-16","authors":["Prarthana Joshi","Subhasheni A"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-04-02T09:26:08Z","addedAt":"2026-08-06T22:48:49.927Z","doi":"10.71443/9789349552203-16","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.52202/083767-0009","name":"Optimization of Truck-drone Collaborative Distribution Routing Considering Simultaneous Pickup and Delivery and Multiple Delivery Options","source":"crossref","abstract":"","url":"https://doi.org/10.52202/083767-0009","authors":["LI PengFei"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-01-16T14:22:39Z","addedAt":"2026-08-06T22:48:49.927Z","doi":"10.52202/083767-0009","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.2139/ssrn.4383032","name":"A Continuous Approximation Approach to Integrated Truck and Drone Delivery Systems","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.4383032","authors":["Juan Zhang","James F. Campbell","Donald  C. Sweeney"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-03-09T10:52:32Z","addedAt":"2026-08-06T22:48:49.927Z","doi":"10.2139/ssrn.4383032","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.2118/211078-ms","name":"How Drone Data Capture and a Visual Intelligence Platform Offer Unparalleled Insight into Capital Project Delivery","source":"crossref","abstract":"Abstract The construction industry is recognising the increasingly important role of digital technology in delivering capital projects on time and within budget. Over 95% of major projects (over $1bn) are delayed or over budget, according to a report by Accenture. Project owners are under pressure to become more efficient, innovative, and ambitious in how they operate, they are turning to digital technologies to enable full project visibility and evidencing data to make more informed decisions. The execution of capital projects within the energy sector is typically complex and often relies upon information being shared between the site and globally dispersed project teams. Determining a holistic view of a capital project can be challenging. Storing and interpreting key data associated with planning resources, equipment allocation, utilization and coordinating the delivery of raw materials only compound the challenge of effective reporting. Traditionally, assessing the status of a project was heavily reliant on paper-based processes. This was a difficult method to collate and manage valuable project information centrally and key stakeholders often had to make decisions based on partial data. The process relied on management's presence frequently onsite and a ‘boots on the ground’ approach to visual inspection. Large volumes of data were often captured by quality inspectors and construction engineers which was an arduous and time-consuming task.","url":"https://doi.org/10.2118/211078-ms","authors":["Barry McGinn"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2022-10-31T00:11:08Z","addedAt":"2026-08-06T22:48:49.927Z","doi":"10.2118/211078-ms","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.2139/ssrn.5359555","name":"Physics-aware Truck and Drone Delivery Planning Using Optimization &amp;amp; Machine Learning","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.5359555","authors":["Yineng Sun","Armin Fügenschuh","Vikrant Vaze"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-07-25T11:12:24Z","addedAt":"2026-08-06T22:48:49.927Z","doi":"10.2139/ssrn.5359555","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.20944/preprints202601.0304.v1","name":"Delivery Drone Dilemmas: Prioritising the Sustainability Concerns of Citizens and Practitioners","source":"europepmc","abstract":"","url":"https://doi.org/10.20944/preprints202601.0304.v1","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:49.927Z","doi":"10.20944/preprints202601.0304.v1","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.2139/ssrn.4966127","name":"Optimizing the Efficiency of Logistics Using Hybrid Truck-Drone Collaborative Delivery","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.4966127","authors":["Shih-Hao Lu","Rohit Raj","Yun-Hsin Lin"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-09-24T18:05:41Z","addedAt":"2026-08-06T22:48:49.927Z","doi":"10.2139/ssrn.4966127","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.2139/ssrn.4798451","name":"Drone Pick-Up and Delivery Path Planning Problem Considering Charging Facilities","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.4798451","authors":["Fuqiang Lu","Wenjing Feng","Bihua Ling","Jialong Liu"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-04-17T20:17:41Z","addedAt":"2026-08-06T22:48:49.927Z","doi":"10.2139/ssrn.4798451","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.2139/ssrn.5957006","name":"Coordinated Drone Delivery via Hybrid Training: From Optimization to Reinforcement Learning","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.5957006","authors":["Lizhi Bi","Bin Shuai","Zhanru Liu","Yichen Sun"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-12-23T08:12:44Z","addedAt":"2026-08-06T22:48:49.927Z","doi":"10.2139/ssrn.5957006","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.1109/rams.2016.7448054","name":"How reliable does a delivery drone have to be?","source":"crossref","abstract":"","url":"https://doi.org/10.1109/rams.2016.7448054","authors":["Fred Schenkelberg"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2016-04-20T20:58:16Z","addedAt":"2026-08-06T22:48:49.927Z","doi":"10.1109/rams.2016.7448054","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.2139/ssrn.6772019","name":"Customer-Facing Offer Design for Mixed Drone-Courier Delivery: Pricing, Promised Times, and Customer Choice","source":"crossref","abstract":"This paper studies how an on-demand delivery platform should design customer-facing offers in mixed drone-courier operations. For each new order, the platform decides which service products to display and what prices and promised delivery times to set for rider-only, drone-assisted, and flexible products. Customers then self-select, and the resulting demand mix feeds back into future service conditions. We develop a sequential framework that links offer-design decisions, multinomial-logit customer choice, and fulfillment outcomes through a tractable mode-level surrogate for cost, realized service time, and lateness penalties. Computational experiments compare a transparent dynamic-menu heuristic that jointly adjusts visibility, price, and promised time, a stronger one-step optimized comparator used asa diagnostic benchmark, a price+time variant without visibility control, and dispatch-only and static-menu reference regimes. Across the reported synthetic scenario families, pricing and promised-time adaptation prove to be the primary levers for balancing profit and reliability. By contrast, the additional value brought by visibility control is conditional within the tested heuristic family and can be neutral or slightly negative in some scenarios. The benchmark comparison also reveals substantial performance headroom, showing that the framework is most useful for identifying which customer-facing levers matter and for clarifying how benchmark strength affects the interpretation of lightweight deployable rules. Overall, the paper provides directional evidence on transport service management under stylized conditions rather than direct deployment prescriptions.","url":"https://doi.org/10.2139/ssrn.6772019","authors":["Jin An","Da Lei"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-05-15T18:36:51Z","addedAt":"2026-08-06T22:48:49.927Z","doi":"10.2139/ssrn.6772019","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.1038/d41586-022-02184-y","name":"Multicoloured Mars, drone delivery and dust-storm disease","source":"crossref","abstract":"","url":"https://doi.org/10.1038/d41586-022-02184-y","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2022-08-17T07:02:54Z","addedAt":"2026-08-06T22:48:49.927Z","doi":"10.1038/d41586-022-02184-y","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.2139/ssrn.5109111","name":"Optimization of Truck–Drone Hybrid Delivery Considering 3d Flight Trajectories","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.5109111","authors":["James C. Chu","Yuan-Wei Wu","Sin-Yi Huang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-01-23T19:37:46Z","addedAt":"2026-08-06T22:48:49.927Z","doi":"10.2139/ssrn.5109111","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.3390/s23031463","name":"Drone Routing for Drone-Based Delivery Systems: A Review of Trajectory Planning, Charging, and Security","source":"crossref","abstract":"Recently, owing to the high mobility and low cost of drones, drone-based delivery systems have shown considerable potential for ensuring flexible and reliable parcel delivery. Several crucial design issues must be considered to design such systems, including route planning, payload weight consideration, distance measurement, and customer location. In this paper, we present a survey of emerging drone routing algorithms for drone-based delivery systems, emphasizing three major drone routing aspects: trajectory planning, charging, and security. We focus on practical design considerations to ensure efficient, flexible, and reliable parcel delivery. We first discuss the potential issues arising when designing such systems. Next, we present a novel taxonomy based on the above-mentioned three aspects. We extensively review each algorithm for drone routing in terms of key features and operational characteristics. Furthermore, we compare the algorithms in terms of their main idea, advantages, limitations, and performance aspects. Finally, we present open research challenges to motivate further research in this field. In particular, we focus on the major aspects that researchers and engineers need to consider in order to design effective and reliable drone routing algorithms for drone-based delivery systems.","url":"https://doi.org/10.3390/s23031463","authors":["Asif Mahmud Raivi","S. M. Asiful Huda","Muhammad Morshed Alam","Sangman Moh"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-01-30T02:01:18Z","addedAt":"2026-08-06T22:48:49.927Z","doi":"10.3390/s23031463","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.36227/techrxiv.173626743.37834191/v1","name":"A Leader-Follower Control System for a Package-Delivery Drone","source":"crossref","abstract":"This paper proposes a control system to guide drones in delivering packages autonomously. The objective is to guide the quadrotor to take off from a ground vehicle, go to the delivery point, return to the ground vehicle, and land on it. The drone should disregard the ground vehicle as its leader when flying toward the delivery point and resume its leadership after delivering the parcel. To ensure this, the leader-follower formation control paradigm is adopted, allowing controlling the follower to track the leader's movement as a reference trajectory. To fully accomplish the delivery task, the delivery drone will follow two leaders at two different moments: the delivery point in the delivery step and the ground vehicle when returning to it. The delivery drone should also avoid obstacles, such as buildings and trees, to which the well-known potential field theory is adopted, thus completing the controller design. Results of an experiment on a lab scale are presented and discussed, which validates the proposed control system. Consequently, the correctness of the underlying hypothesis that the leader-follower control paradigm is a feasible solution to control a delivery drone in accomplishing package delivery is confirmed. This is the main contribution of the study. Moreover, a possible generalization of the proposed control system for a set of delivery drones is outlined.","url":"https://doi.org/10.36227/techrxiv.173626743.37834191/v1","authors":["Emanuele Dos Santos Cardoso","Vinícius Pacheco Bacheti","Mario Sarcinelli Filho"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-01-07T11:30:44Z","addedAt":"2026-08-06T22:48:49.927Z","doi":"10.36227/techrxiv.173626743.37834191/v1","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.1109/iceect61758.2024.10739206","name":"Bayesian Filtering-Based Internet of Drone Things for Precision Drone Delivery: Challenges, Unravelling, and Future Research Scope","source":"crossref","abstract":"","url":"https://doi.org/10.1109/iceect61758.2024.10739206","authors":["Amit Kumar","Bhavya Alankar","Jawed Ahmed","Harleen Kaur"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-11-04T18:33:41Z","addedAt":"2026-08-06T22:48:49.927Z","doi":"10.1109/iceect61758.2024.10739206","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.1007/s10586-026-06109-6","name":"Integrating mobile edge computing in drone delivery: a holistic service provision strategy for drone-based healthcare logistics","source":"crossref","abstract":"","url":"https://doi.org/10.1007/s10586-026-06109-6","authors":["Tejinder Singh Lakhwani","Yerasani Sinjana","Anuj Pal Kapoor"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-05-16T17:52:26Z","addedAt":"2026-08-06T22:48:49.927Z","doi":"10.1007/s10586-026-06109-6","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.3390/drones7020077","name":"Last-Mile Drone Delivery: Past, Present, and Future","source":"crossref","abstract":"Sustainable green products and services garner more attention from companies and enterprises that aim to succeed and grow in highly competitive markets by imposing less harms on the environment and ecosystems. Last-mile delivery from local distribution centers to customers plays an essential role in the retail business. Retail companies are leaning towards implementing green, efficient transportation methods, such as drones, in their last-mile delivery operations to conserve ecosystems. Accordingly, researchers have documented numerous research findings on last-mile drone delivery in recent years. This literature review selected a collection of articles mostly from 2011 to 2022 and reviewed them in terms of key technical challenges, such as routing, cargo distribution optimization, battery management, data communication, and environmental protection. These challenges are interrelated in a sense of achieving eco-friendly, efficient, lean, last-mile drone delivery. The selection of these technical challenges is based on the top challenges discussed in the literature.","url":"https://doi.org/10.3390/drones7020077","authors":["Hossein Eskandaripour","Enkhsaikhan Boldsaikhan"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-01-23T04:19:22Z","addedAt":"2026-08-06T22:48:49.927Z","doi":"10.3390/drones7020077","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.1109/icce-taiwan66881.2025.11207970","name":"Flight Path Selection Balancing Delivery Time and Randomness for Privacy-Preserving Drone Delivery","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icce-taiwan66881.2025.11207970","authors":["Hayato Taniguchi","Tomotaka Kimura","Jun Cheng"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-10-27T17:53:54Z","addedAt":"2026-08-06T22:48:49.927Z","doi":"10.1109/icce-taiwan66881.2025.11207970","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.53568/yyusbed.1172019","name":"A Biblyometric Analysis of Empirical Studies on Drone Delivery","source":"crossref","abstract":"Product delivery by drone has become a topic of increasing interest in the academic community. The aim of this study is to provide information about the authors who conducted the studies, the countries where the studies were conducted, the years of the studies, the methodology of the studies, the theoretical background of the studies, and the variables used in the studies by making a bibliometric analysis of 30 studies, which were selected based on certain criteria, including the subject of product delivery by drone. For this purpose, a bibliometric analysis of 30 selected studies was carried out using VOSviewer software. According to the results obtained, Jinsoo Hwang is the one who has done the most work on product delivery by drone. Most studies were conducted in South Korea. Looking at the years in which the studies were carried out, it was seen that the subject of delivery by drone was studied more and more each year. Accordingly, interest in drone delivery is increasing day by day. The questionnaire method was used in all of the studies. The most technology acceptance model was used in the studies. The most used variables are intention, attitude, risk, and innovativeness, respectively. It is expected that these results will provide researchers with foresight.","url":"https://doi.org/10.53568/yyusbed.1172019","authors":["Ayhan CESUR","Kaan YİĞENOĞLU","İbrahim AYDIN","Zübeyir ÇELİK"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2022-12-31T17:16:02Z","addedAt":"2026-08-06T22:48:49.927Z","doi":"10.53568/yyusbed.1172019","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.2139/ssrn.4091250","name":"A Model for Public Attitude Towards Drone Delivery","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.4091250","authors":["Robin Kellermann","Tobias Biehle","Hamid Mostofi"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2022-04-24T03:06:50Z","addedAt":"2026-08-06T22:48:49.927Z","doi":"10.2139/ssrn.4091250","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.1080/23311975.2022.2074340","name":"Will customers adopt last-mile drone delivery services? An analysis of drone delivery in the emerging market economy","source":"crossref","abstract":"","url":"https://doi.org/10.1080/23311975.2022.2074340","authors":["Charlie Chen","Steve Leon","Peter Ractham"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2022-05-19T08:15:43Z","addedAt":"2026-08-06T22:48:49.927Z","doi":"10.1080/23311975.2022.2074340","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.4172/2168-9601.1000211","name":"Marketing Consumer Product Goods in a Shifting Supply Chain Environment: Same-Day Delivery and Future Drone Delivery","source":"crossref","abstract":"","url":"https://doi.org/10.4172/2168-9601.1000211","authors":["Fadye Saud Alfayad"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2017-04-12T11:26:40Z","addedAt":"2026-08-06T22:48:49.927Z","doi":"10.4172/2168-9601.1000211","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.20944/preprints202607.0887.v1","name":"Beyond Drone Delivery: A Scoping Review of Advanced Air Mobility in Healthcare Logistics","source":"europepmc","abstract":"","url":"https://doi.org/10.20944/preprints202607.0887.v1","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:49.927Z","doi":"10.20944/preprints202607.0887.v1","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.1201/9780367824037-20","name":"Vehicle routing in drone-based package delivery services","source":"crossref","abstract":"","url":"https://doi.org/10.1201/9780367824037-20","authors":["A. Agárdi","L. Kovács","T. Bányai"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2019-09-23T09:51:36Z","addedAt":"2026-08-06T22:48:49.927Z","doi":"10.1201/9780367824037-20","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.2139/ssrn.5262840","name":"Large-Scale Urban Drone Delivery System: An Environmental, Economic and Temporal Assessment","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.5262840","authors":["Danwen Bao","Ziqian Zhang","Jingxuan Shang","Juntong Wang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-05-21T04:54:19Z","addedAt":"2026-08-06T22:48:49.927Z","doi":"10.2139/ssrn.5262840","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.1016/j.resplu.2026.101360","name":"Drone-delivery of defibrillators reduces time to defibrillation in a ski resort: a randomised simulation-based trial.","source":"europepmc","abstract":"","url":"https://doi.org/10.1016/j.resplu.2026.101360","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:49.927Z","doi":"10.1016/j.resplu.2026.101360","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.20944/preprints202601.2010.v1","name":"Enhancing Access to Cancer Diagnostics: Drone Delivery of PET Isotopes Amid Weather Challenges and Multimodal Transport Solutions","source":"europepmc","abstract":"","url":"https://doi.org/10.20944/preprints202601.2010.v1","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:49.927Z","doi":"10.20944/preprints202601.2010.v1","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.3390/plants14223511","name":"Drone Delivery of Insecticide Is Uneven Yet Sufficiently Controls Subterranean Weevils Infesting Sweet Potato Plants.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/plants14223511","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","addedAt":"2026-08-06T22:48:49.927Z","doi":"10.3390/plants14223511","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.3389/fpubh.2025.1571904","name":"Study on medical professionals' acceptance of and factors influencing drone delivery for medical supplies.","source":"europepmc","abstract":"","url":"https://doi.org/10.3389/fpubh.2025.1571904","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","addedAt":"2026-08-06T22:48:49.927Z","doi":"10.3389/fpubh.2025.1571904","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.1016/j.envres.2026.124669","name":"Core-shell biochar-zeolite fertilizer with starch coating: Boosting nutrient use in saline-alkaline rice soils via smart drone delivery &amp; economic assessment.","source":"europepmc","abstract":"","url":"https://doi.org/10.1016/j.envres.2026.124669","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:49.927Z","doi":"10.1016/j.envres.2026.124669","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.1371/journal.pone.0333422","name":"Examining the acceptance of drone delivery services among Chinese consumers: A perspective from urban and rural areas.","source":"europepmc","abstract":"","url":"https://doi.org/10.1371/journal.pone.0333422","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","addedAt":"2026-08-06T22:48:49.927Z","doi":"10.1371/journal.pone.0333422","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.29045/14784726.2025.6.10.1.56","name":"The impact of drone delivery of an automated external defibrillator: a simulation feasibility study.","source":"europepmc","abstract":"","url":"https://doi.org/10.29045/14784726.2025.6.10.1.56","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","addedAt":"2026-08-06T22:48:49.927Z","doi":"10.29045/14784726.2025.6.10.1.56","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.1002/jgf2.768","name":"Demonstration of autonomous fixed-wing drone delivery of prescribed medications in remote islands in Japan.","source":"europepmc","abstract":"","url":"https://doi.org/10.1002/jgf2.768","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","addedAt":"2026-08-06T22:48:49.927Z","doi":"10.1002/jgf2.768","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.1016/j.resuscitation.2025.110561","name":"Drone delivery of automated external defibrillators for out-of-hospital cardiac arrest: It's all about location.","source":"europepmc","abstract":"","url":"https://doi.org/10.1016/j.resuscitation.2025.110561","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","addedAt":"2026-08-06T22:48:49.927Z","doi":"10.1016/j.resuscitation.2025.110561","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.1016/j.jacadv.2024.101033","name":"Combinations of First Responder and Drone Delivery to Achieve 5-Minute AED Deployment in OHCA.","source":"europepmc","abstract":"","url":"https://doi.org/10.1016/j.jacadv.2024.101033","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2024","addedAt":"2026-08-06T22:48:49.927Z","doi":"10.1016/j.jacadv.2024.101033","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.1016/j.jacadv.2024.101032","name":"Facing the Obstacles of OHCA Response: Integrating First Responders With Drone Delivery for AED Deployment.","source":"europepmc","abstract":"","url":"https://doi.org/10.1016/j.jacadv.2024.101032","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2024","addedAt":"2026-08-06T22:48:49.927Z","doi":"10.1016/j.jacadv.2024.101032","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.1016/j.vhri.2024.101066","name":"Cost-Effectiveness of Aerial Logistics for Immunization: A Model-Based Evaluation of Centralized Storage and Drone Delivery of Vaccines in Ghana Using Empirical Data.","source":"europepmc","abstract":"","url":"https://doi.org/10.1016/j.vhri.2024.101066","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","addedAt":"2026-08-06T22:48:49.927Z","doi":"10.1016/j.vhri.2024.101066","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.1002/advs.202302935","name":"Automated Drone-Delivery Solar-Driven Onsite Wastewater Smart Monitoring and Treatment System.","source":"europepmc","abstract":"","url":"https://doi.org/10.1002/advs.202302935","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2023","addedAt":"2026-08-06T22:48:49.927Z","doi":"10.1002/advs.202302935","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.1016/s2589-7500(23)00161-9","name":"Drone delivery of automated external defibrillators compared with ambulance arrival in real-life suspected out-of-hospital cardiac arrests: a prospective observational study in Sweden.","source":"europepmc","abstract":"","url":"https://doi.org/10.1016/s2589-7500(23)00161-9","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2023","addedAt":"2026-08-06T22:48:49.927Z","doi":"10.1016/s2589-7500(23)00161-9","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.1056/nejmc1915956","name":"Drone Delivery of an Automated External Defibrillator.","source":"europepmc","abstract":"","url":"https://doi.org/10.1056/nejmc1915956","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2020","addedAt":"2026-08-06T22:48:49.927Z","doi":"10.1056/nejmc1915956","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.1038/s41569-021-00618-0","name":"Drone delivery of defibrillators for sudden cardiac arrest could shorten response times.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41569-021-00618-0","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2021","addedAt":"2026-08-06T22:48:49.927Z","doi":"10.1038/s41569-021-00618-0","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.1371/journal.pone.0250737","name":"A decentralized hybrid computing consumer authentication framework for a reliable drone delivery as a service.","source":"europepmc","abstract":"","url":"https://doi.org/10.1371/journal.pone.0250737","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2021","addedAt":"2026-08-06T22:48:49.927Z","doi":"10.1371/journal.pone.0250737","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.1371/journal.pone.0259555","name":"A simulation study of drone delivery of Automated External Defibrillator (AED) in Out of Hospital Cardiac Arrest (OHCA) in the UK.","source":"europepmc","abstract":"","url":"https://doi.org/10.1371/journal.pone.0259555","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2021","addedAt":"2026-08-06T22:48:49.927Z","doi":"10.1371/journal.pone.0259555","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.20944/preprints202209.0379.v1","name":"Drone Delivery of Dehydro-Sulfurization Utilizing Doubly-Charged Negative Ions of Nanoscale Catalysts Inspired by the Biomimicry of Bee Species’ Bio-Catalysis of Pollen Conversion to Organic Honey","source":"europepmc","abstract":"","url":"https://doi.org/10.20944/preprints202209.0379.v1","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2022","addedAt":"2026-08-06T22:48:49.927Z","doi":"10.20944/preprints202209.0379.v1","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.1016/s2214-109x(22)00048-1","name":"Effect of unmanned aerial vehicle (drone) delivery on blood product delivery time and wastage in Rwanda: a retrospective, cross-sectional study and time series analysis.","source":"europepmc","abstract":"","url":"https://doi.org/10.1016/s2214-109x(22)00048-1","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2022","addedAt":"2026-08-06T22:48:49.927Z","doi":"10.1016/s2214-109x(22)00048-1","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.21203/rs.3.rs-262326/v1","name":"Last-Mile Drone Delivery Combinatorial Double Auction Model using Multi-Objective Evolutionary Algorithms","source":"europepmc","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-262326/v1","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2021","addedAt":"2026-08-06T22:48:49.927Z","doi":"10.21203/rs.3.rs-262326/v1","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.1016/j.resuscitation.2020.04.038","name":"Drone delivery of AED's and personal protective equipment in the era of SARS-CoV-2.","source":"europepmc","abstract":"","url":"https://doi.org/10.1016/j.resuscitation.2020.04.038","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2020","addedAt":"2026-08-06T22:48:49.927Z","doi":"10.1016/j.resuscitation.2020.04.038","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.1161/jaha.120.016687","name":"Improving Access to Automated External Defibrillators in Rural and Remote Settings: A Drone Delivery Feasibility Study.","source":"europepmc","abstract":"","url":"https://doi.org/10.1161/jaha.120.016687","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2020","addedAt":"2026-08-06T22:48:49.927Z","doi":"10.1161/jaha.120.016687","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.1007/s10278-021-00475-w","name":"Pioneering Remotely Piloted Aerial Systems (Drone) Delivery of a Remotely Telementored Ultrasound Capability for Self Diagnosis and Assessment of Vulnerable Populations-the Sky Is the Limit.","source":"europepmc","abstract":"","url":"https://doi.org/10.1007/s10278-021-00475-w","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2021","addedAt":"2026-08-06T22:48:49.927Z","doi":"10.1007/s10278-021-00475-w","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.1093/trstmh/trz131","name":"A drone delivery network for antiepileptic drugs: a framework and modelling case study in a low-income country.","source":"europepmc","abstract":"","url":"https://doi.org/10.1093/trstmh/trz131","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2020","addedAt":"2026-08-06T22:48:49.927Z","doi":"10.1093/trstmh/trz131","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.1186/s13049-019-0622-6","name":"Drone delivery of an automated external defibrillator - a mixed method simulation study of bystander experience.","source":"europepmc","abstract":"","url":"https://doi.org/10.1186/s13049-019-0622-6","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2019","addedAt":"2026-08-06T22:48:49.927Z","doi":"10.1186/s13049-019-0622-6","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.2146/ajhp170196","name":"Drone delivery of medications: Review of the landscape and legal considerations.","source":"europepmc","abstract":"","url":"https://doi.org/10.2146/ajhp170196","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2018","addedAt":"2026-08-06T22:48:49.927Z","doi":"10.2146/ajhp170196","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.2196/108067","name":"Drones in the (Pharmacy) Desert: Can Prescription Delivery via Drone Improve Health Care Access?","source":"europepmc","abstract":"","url":"https://doi.org/10.2196/108067","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:49.927Z","doi":"10.2196/108067","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.3389/fpubh.2026.1839209","name":"Deployment, dispatch, and delivery: a scoping review of drone-delivered AED for out-of-hospital cardiac arrest.","source":"europepmc","abstract":"","url":"https://doi.org/10.3389/fpubh.2026.1839209","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:49.927Z","doi":"10.3389/fpubh.2026.1839209","updatedAt":"2026-08-31T06:40:00.188Z"},{"id":"doi:10.21203/rs.3.rs-10211848/v1","name":"Logistics-driven proactive drone epidemic intervention model","source":"europepmc","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-10211848/v1","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:49.927Z","doi":"10.21203/rs.3.rs-10211848/v1","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.3399/bjgp26x745245","name":"Clearing for takeoff: exploring barriers and enablers to medical drone integration.","source":"europepmc","abstract":"","url":"https://doi.org/10.3399/bjgp26x745245","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:49.927Z","doi":"10.3399/bjgp26x745245","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.21203/rs.3.rs-10055109/v1","name":"Cost-effectiveness of drone-based medical logistics: a real-world study at a multi-campus tertiary hospital in China","source":"europepmc","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-10055109/v1","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:49.927Z","doi":"10.21203/rs.3.rs-10055109/v1","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.1371/journal.pone.0344897","name":"Rural first-mile pickup and last-mile delivery: A bus-assisted heterogeneous-drone model.","source":"europepmc","abstract":"","url":"https://doi.org/10.1371/journal.pone.0344897","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:49.927Z","doi":"10.1371/journal.pone.0344897","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.3390/s26113352","name":"A Reliable and Secure Cluster-Routing Framework for Drone-Assisted Disaster Management in Smart Cities.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s26113352","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:49.927Z","doi":"10.3390/s26113352","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.1371/journal.pone.0350394","name":"Gauging support for autonomous delivery drones powered by artificial intelligence: A public survey in Singapore.","source":"europepmc","abstract":"","url":"https://doi.org/10.1371/journal.pone.0350394","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:49.927Z","doi":"10.1371/journal.pone.0350394","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.3389/frai.2026.1759688","name":"An improved adaptive large neighborhood search algorithm for the flexible two-tier vehicle routing problem with drone stations.","source":"europepmc","abstract":"","url":"https://doi.org/10.3389/frai.2026.1759688","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:49.927Z","doi":"10.3389/frai.2026.1759688","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.21203/rs.3.rs-9412457/v1","name":"Bystander and recipient roles reweight noise, privacy, and safety in drone deliveries","source":"europepmc","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-9412457/v1","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:49.927Z","doi":"10.21203/rs.3.rs-9412457/v1","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.2196/82720","name":"Experiences and Perceptions Within a Co-Created Drone Transport Initiative With Rural First Nation and Non-First Nation Communities: Semistructured Interview Study.","source":"europepmc","abstract":"","url":"https://doi.org/10.2196/82720","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:49.927Z","doi":"10.2196/82720","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.1038/s41598-026-36451-z","name":"Delivery from the sky: investigating visual cues to communicate robot intentions in simulated public spaces.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41598-026-36451-z","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:49.927Z","doi":"10.1038/s41598-026-36451-z","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.1371/journal.pone.0321917","name":"Employing in-context learning prompts with large language models for drone routing in delivery services.","source":"europepmc","abstract":"","url":"https://doi.org/10.1371/journal.pone.0321917","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:49.927Z","doi":"10.1371/journal.pone.0321917","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.1186/s12936-026-05978-x","name":"Perceptions and acceptability of drone-based larviciding using Bacillus thuringiensis israelensis in rice fields in Madagascar, 2022: a qualitative study.","source":"europepmc","abstract":"","url":"https://doi.org/10.1186/s12936-026-05978-x","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:49.927Z","doi":"10.1186/s12936-026-05978-x","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.21203/rs.3.rs-8543560/v1","name":"A Dataset of Distributed Operational States and Resource Allocation for Urban Low-Altitude Logistics Drone Swarms","source":"europepmc","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-8543560/v1","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:49.927Z","doi":"10.21203/rs.3.rs-8543560/v1","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.1016/j.dialog.2026.100285","name":"Drones in healthcare logistics: Insights from healthcare professionals' perspective on Zipline delivery services in Ghana.","source":"europepmc","abstract":"","url":"https://doi.org/10.1016/j.dialog.2026.100285","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:49.927Z","doi":"10.1016/j.dialog.2026.100285","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.1038/s41598-026-40040-5","name":"An adaptive A-Star algorithm to handle blood transportation using UAVs.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41598-026-40040-5","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:49.927Z","doi":"10.1038/s41598-026-40040-5","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.3390/s26103159","name":"On Fixed-Wing Drone-Enabled Covert Transmission with Mobility Restrictions and QoS Requirement.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s26103159","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:49.927Z","doi":"10.3390/s26103159","updatedAt":"2026-08-31T06:39:57.841Z"},{"id":"doi:10.1177/20552076251406320","name":"Feasibility of drone-based sputum sample and medicine transport for tuberculosis diagnosis in Yadadri-Bhuvanagiri District of Telangana, India: A qualitative study.","source":"europepmc","abstract":"","url":"https://doi.org/10.1177/20552076251406320","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:49.927Z","doi":"10.1177/20552076251406320","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.1016/j.resplu.2025.101206","name":"Innovative integration of wearable ECG monitoring vest and drone-delivered AED for high-rise for cardiac emergency rescue: a pilot study.","source":"europepmc","abstract":"","url":"https://doi.org/10.1016/j.resplu.2025.101206","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:49.927Z","doi":"10.1016/j.resplu.2025.101206","updatedAt":"2026-08-31T06:40:05.993Z"},{"id":"doi:10.20944/preprints202603.2408.v1","name":"A Hierarchical Quantitative Risk Assessment Framework for Evaluating Performance and Resilience in Drone-Assisted Systems","source":"europepmc","abstract":"","url":"https://doi.org/10.20944/preprints202603.2408.v1","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:49.927Z","doi":"10.20944/preprints202603.2408.v1","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.21203/rs.3.rs-9033297/v1","name":"Advancing Smart City Healthcare Logistics: Cost-Benefit and Cost-Effectiveness of UAV-Based Medicine Delivery in Makassar, Indonesia","source":"europepmc","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-9033297/v1","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:49.927Z","doi":"10.21203/rs.3.rs-9033297/v1","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.1016/j.plabm.2026.e00530","name":"Pre-analytical stability of blood samples transported by drone versus ground: a pilot study.","source":"europepmc","abstract":"","url":"https://doi.org/10.1016/j.plabm.2026.e00530","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:49.927Z","doi":"10.1016/j.plabm.2026.e00530","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.1371/journal.pone.0345282","name":"An empirical study of drone medical logistics transportation in a multi-campus model of Chinese public hospitals: Real-world data-driven validation of timeliness and application effects.","source":"europepmc","abstract":"","url":"https://doi.org/10.1371/journal.pone.0345282","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:49.927Z","doi":"10.1371/journal.pone.0345282","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.1111/vox.70207","name":"Using unmanned aerial vehicles (drones) to improve access to blood in low- and middle-income countries: Current challenges and opportunities.","source":"pubmed","abstract":"Blood transfusion is life-saving for patients in emergencies, but low- and middle-income countries (LMICs) often face a severe shortage of banked blood. Establishing blood banks in rural areas presents substantial logistical and economic challenges for many LMICs. Furthermore, difficult terrain, inadequate transportation infrastructure and adverse environmental conditions frequently cause delays in delivering essential blood supplies to patients in need. However, the freight transport system is undergoing a significant transformation with the introduction of unmanned aerial vehicles (UAVs), commonly known as drones. This environmentally conscious technology has made remarkable progress in recent times and demonstrates the potential to transport vital medical supplies, including blood and blood components, to remote areas during emergencies. Moreover, the use of artificial intelligence in drones has enhanced their flight safety. In this brief review, we first outline the various types of UAVs available for use, along with their respective configurations and regulatory requirements. Then we point out key problems of transfusion services within resource-limited regions, which include not having a national blood policy, a mismatch between supply and demand, a lack of robust testing facilities for bloodborne infections and not adhering to the transfusion guidelines. While resolving all challenges may seem unrealistic, we try to explore potential pathways to significantly improve blood accessibility for patients in LMICs through the strategic implementation of UAVs, considering the various barriers and facilitators associated with this innovative approach.","url":"https://doi.org/10.1111/vox.70207","authors":["Datta SS","Mondal R","Deb S","Tortora G","Pirri A"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:49.927Z","doi":"10.1111/vox.70207","updatedAt":"2026-08-31T06:40:05.993Z"},{"id":"doi:10.4103/jfmpc.jfmpc_1994_24","name":"Leveraging drone technology in health systems strengthening: A cost-effectiveness analysis from Northeast India.","source":"europepmc","abstract":"","url":"https://doi.org/10.4103/jfmpc.jfmpc_1994_24","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","addedAt":"2026-08-06T22:48:49.927Z","doi":"10.4103/jfmpc.jfmpc_1994_24","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"doi:10.3390/s26102943","name":"Recent Developments and Applications of Drone Swarm: Techniques, Strategies, and Challenges.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s26102943","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:49.927Z","doi":"10.3390/s26102943","updatedAt":"2026-08-31T06:40:08.030Z"},{"id":"doi:10.5588/ijtldopen.25.0484","name":"Drone-based sputum transport for TB diagnosis in remote communities.","source":"europepmc","abstract":"","url":"https://doi.org/10.5588/ijtldopen.25.0484","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:49.927Z","doi":"10.5588/ijtldopen.25.0484","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.3390/s26020653","name":"Automatic Grasping System and Hybrid Controller Towards Multi-Drone Parcel Delivery.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s26020653","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:49.927Z","doi":"10.3390/s26020653","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.1016/j.resplu.2026.101262","name":"Dispatcher referral of bystanders to retrieve drone-delivered automated external defibrillators in cases of suspected out-of-hospital cardiac arrest.","source":"europepmc","abstract":"","url":"https://doi.org/10.1016/j.resplu.2026.101262","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:49.927Z","doi":"10.1016/j.resplu.2026.101262","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.65868/gxvu1889","name":"[Hybrid warfare - a complex threat to Swedish health care].","source":"europepmc","abstract":"","url":"https://doi.org/10.65868/gxvu1889","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:49.927Z","doi":"10.65868/gxvu1889","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.1016/j.ienj.2026.101773","name":"Research hotspots and emerging trends in low-altitude medical rescue (2014-2024): A bibliometric study.","source":"europepmc","abstract":"","url":"https://doi.org/10.1016/j.ienj.2026.101773","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:49.927Z","doi":"10.1016/j.ienj.2026.101773","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.2196/80320","name":"Family Caregivers' Perspectives on the Potential of Drone-Based Medication Delivery in Palliative Home Care: Qualitative Focus Group Study.","source":"europepmc","abstract":"","url":"https://doi.org/10.2196/80320","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","addedAt":"2026-08-06T22:48:49.927Z","doi":"10.2196/80320","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.3389/fvets.2026.1791617","name":"From sky to sow: assessing the impact of drone-enabled semen delivery on pig fertility outcomes in rural Rwanda.","source":"europepmc","abstract":"","url":"https://doi.org/10.3389/fvets.2026.1791617","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:49.927Z","doi":"10.3389/fvets.2026.1791617","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.21203/rs.3.rs-8454583/v1","name":"Effectiveness of zipline’s drones’ delivery service in improving postpartum hemorrhage (PPH) management and reducing its related mortality and morbidity: A retrospective cross-sectional survey in Rwanda","source":"europepmc","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-8454583/v1","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:49.927Z","doi":"10.21203/rs.3.rs-8454583/v1","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.3389/frobt.2026.1707022","name":"Multimodal feedback enhances human belief updating performance and reduces cognitive load in urban drone operation.","source":"europepmc","abstract":"","url":"https://doi.org/10.3389/frobt.2026.1707022","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:49.927Z","doi":"10.3389/frobt.2026.1707022","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.1016/j.resplu.2025.101146","name":"A comparison of time efficiency in simulated out-of-hospital cardiac arrest using drone-delivered automated external defibrillators.","source":"europepmc","abstract":"","url":"https://doi.org/10.1016/j.resplu.2025.101146","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","addedAt":"2026-08-06T22:48:49.927Z","doi":"10.1016/j.resplu.2025.101146","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.3390/jcm15062141","name":"Out-of-Hospital Cardiac Arrest: Public-Access Defibrillation and System Approaches to Minimize Avoidable Delay.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/jcm15062141","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:49.927Z","doi":"10.3390/jcm15062141","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.20944/preprints202512.0417.v1","name":"GIS-Enabled Truck–Drone Hybrid Systems for Agricultural Last-Mile Delivery: A Multidisciplinary Review with Insights from a Rural Region","source":"europepmc","abstract":"","url":"https://doi.org/10.20944/preprints202512.0417.v1","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","addedAt":"2026-08-06T22:48:49.927Z","doi":"10.20944/preprints202512.0417.v1","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.1371/journal.pone.0333696","name":"Drone-based medication delivery for rural, flood-prone coastal communities.","source":"pubmed","abstract":"Access to healthcare remains a critical challenge for rural populations, particularly in flood-prone coastal communities where transportation barriers limit access to essential medical services. This study evaluates the effectiveness of drone-based medication delivery in improving healthcare accessibility for vulnerable populations on Virginia's Eastern Shore. Compared to traditional personal vehicle travel, drone delivery reduced trip times from up to 50 minutes to under 10 minutes for more than 80% of the population, including elderly patients. Using publicly available datasets, we developed two transportation vulnerability indices that incorporate age, travel time, and flood risk to prioritize patients for drone-based pharmaceutical delivery. These indices were examined using Getis-Ord Gi* spatial analysis, which identified statistically significant clusters of high-need patients, particularly around the northernmost drone station. The results reveal that elderly residents in remote, low-lying areas are especially vulnerable to missed prescriptions due to both transportation barriers and flooding. Our approach demonstrates how drone delivery can reduce healthcare access disparities while offering a scalable and resilient framework for other medically underserved regions, especially under time or resource constraints.","url":"https://doi.org/10.1371/journal.pone.0333696","authors":["Chen YH","El-Adle AM","O'Brien KJ","Wentworth T","Richter HG"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025","addedAt":"2026-08-06T22:48:49.927Z","doi":"10.1371/journal.pone.0333696","updatedAt":"2026-08-31T06:40:02.532Z"},{"id":"doi:10.1371/journal.pone.0337082","name":"Bystanders' attitudes towards drone delivered Automated External Defibrillators for out-of-hospital cardiac arrest: A qualitative interview study.","source":"europepmc","abstract":"","url":"https://doi.org/10.1371/journal.pone.0337082","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","addedAt":"2026-08-06T22:48:49.927Z","doi":"10.1371/journal.pone.0337082","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.3389/frhs.2026.1837188","name":"Facilitators and barriers to blood and blood product accessibility and use in sub-Saharan Africa: a systematic review.","source":"europepmc","abstract":"","url":"https://doi.org/10.3389/frhs.2026.1837188","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:49.927Z","doi":"10.3389/frhs.2026.1837188","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.57187/4954","name":"The role of drones in delivering emergency medical and surgical support in conflict zones.","source":"europepmc","abstract":"","url":"https://doi.org/10.57187/4954","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:49.927Z","doi":"10.57187/4954","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.1007/s10661-026-15478-9","name":"Methodology for automated greenhouse gas data collection and transmission to cloud repository using low-cost drones.","source":"europepmc","abstract":"","url":"https://doi.org/10.1007/s10661-026-15478-9","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:49.927Z","doi":"10.1007/s10661-026-15478-9","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.1371/journal.pone.0335614","name":"Research on the optimization of delivery routes for vehicles with drones under no-fly zone restrictions.","source":"pubmed","abstract":"With the rapid development of e-commerce, logistics and distribution systems face the dual pressures of efficiency improvement and cost control. Unmanned Aerial Vehicle (UAV) delivery, featuring flexibility, high efficiency, and low carbon emissions, has become an effective means to solve the \"last-mile\" problem. However, the widespread no-fly zones in urban environments (e.g., airports, government agencies, and high-voltage power lines) severely limit the application scope of UAVs and increase the complexity of path planning. Against this backdrop, the vehicle-assisted UAV collaborative delivery model has emerged: through the division of labor and collaboration between ground vehicles and UAVs, it not only expands the service radius of UAVs but also overcomes the constraints of no-fly zones, achieving dual improvements in delivery efficiency and service quality.This study focuses on the optimization of vehicle-assisted UAV delivery paths under no-fly zone constraints, aiming to construct a multi-objective optimization model that balances delivery costs, carbon emissions, and customer satisfaction, and to design an efficient solution algorithm for providing scientific decision support to logistics enterprises. First, the paper systematically sorts out the classification and definition of no-fly zones as well as their impact mechanisms on UAV path planning, and elaborates on the theoretical basis of vehicle-UAV collaborative delivery, including the constituent elements of the problem, methods for quantifying customer satisfaction, and the application framework of heuristic algorithms. On this basis, a mixed-integer programming model is built with the objectives of minimizing total cost, minimizing carbon emissions, and maximizing customer satisfaction. Given that this model falls into the category of NP-hard problems, we have designed a four-stage heuristic solution. First, an improved K-means algorithm (IKM) is used to cluster customer points under the constraint of the UAV's maximum flight radius, so as to determine vehicle parking points. Second, a multi-objective genetic algorithm is applied to plan UAV delivery routes for customers in open areas. Next, the multi-objective genetic algorithm is continued to design initial routes for vehicles between parking points. Finally, the multi-objective genetic algorithm is utilized again to plan delivery routes for customers in no-fly zones, ultimately forming a complete collaborative \"vehicle-UAV\" delivery scheme.To verify the effectiveness of the model and algorithm, simulation experiments are conducted using two sets of cases: 30 customer points in a local area of Harbin and the large-scale R201 case from the Solomon dataset. The results show that compared with traditional vehicle-only or UAV-only delivery models, the vehicle-UAV collaborative delivery model exhibits significant advantages in total cost, carbon emissions, and customer satisfaction; the model maintains good robustness in stability tests under different no-fly zone settings; and parameter sensitivity analysis further reveals the impact of key parameters (e.g., UAV load capacity, endurance, and vehicle load capacity) on delivery performance, providing practical references for logistics enterprises in equipment selection and operation strategy formulation.","url":"https://doi.org/10.1371/journal.pone.0335614","authors":["Mao Y","Jia G"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025","addedAt":"2026-08-06T22:48:49.927Z","doi":"10.1371/journal.pone.0335614","updatedAt":"2026-08-31T06:40:02.532Z"},{"id":"doi:10.21203/rs.3.rs-8221874/v1","name":"Research on Location-Routing Problem for Logistics UAVs Based on Bi-layer Programming","source":"europepmc","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-8221874/v1","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","addedAt":"2026-08-06T22:48:49.927Z","doi":"10.21203/rs.3.rs-8221874/v1","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.1126/sciadv.aee8014","name":"Optical maneuvering of dandelion-inspired fliers with vortex-enabled stability.","source":"europepmc","abstract":"","url":"https://doi.org/10.1126/sciadv.aee8014","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:49.927Z","doi":"10.1126/sciadv.aee8014","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.1016/j.ijpharm.2025.126473","name":"Understanding how exposure to drone-induced vibration during transportation affects the quality of a monoclonal antibody (Nivolumab).","source":"europepmc","abstract":"","url":"https://doi.org/10.1016/j.ijpharm.2025.126473","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:49.927Z","doi":"10.1016/j.ijpharm.2025.126473","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.21203/rs.3.rs-7189835/v1","name":"A Corridor-Based Drone-Carrier Vehicle System for Environment-Aware Last-Mile Delivery","source":"europepmc","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-7189835/v1","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","addedAt":"2026-08-06T22:48:49.927Z","doi":"10.21203/rs.3.rs-7189835/v1","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.3389/fpsyg.2026.1787499","name":"High-tech, high-touch physical education: drone soccer as a sustainable sport activity for sport-marginalized students.","source":"europepmc","abstract":"","url":"https://doi.org/10.3389/fpsyg.2026.1787499","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:49.927Z","doi":"10.3389/fpsyg.2026.1787499","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.1121/10.0039953","name":"Directional active noise control for drone noise reduction.","source":"europepmc","abstract":"","url":"https://doi.org/10.1121/10.0039953","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","addedAt":"2026-08-06T22:48:49.927Z","doi":"10.1121/10.0039953","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.20944/preprints202602.1679.v1","name":"Digital Integration for Sustainable Motorway Delivery: A Case Study of the Sibiu-Făgăraș Motorway, Romania","source":"europepmc","abstract":"","url":"https://doi.org/10.20944/preprints202602.1679.v1","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:49.927Z","doi":"10.20944/preprints202602.1679.v1","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.1111/vox.70092","name":"Supplying whole blood with drones for prehospital transfusion at trauma sites in Finland: A simulation.","source":"europepmc","abstract":"","url":"https://doi.org/10.1111/vox.70092","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","addedAt":"2026-08-06T22:48:49.927Z","doi":"10.1111/vox.70092","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.22541/au.176038131.17106095/v1","name":"Collaborative Truck-Drone Routing with Multi-visit via Surrogate-Assisted Bi-level Optimization","source":"europepmc","abstract":"","url":"https://doi.org/10.22541/au.176038131.17106095/v1","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","addedAt":"2026-08-06T22:48:49.927Z","doi":"10.22541/au.176038131.17106095/v1","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.1016/j.resplu.2025.101045","name":"The use of drone-delivered Automated External Defibrillators in the emergency response for out-of-hospital cardiac arrest. A simulation study.","source":"pubmed","abstract":"Drones are now being used to deliver Automated External Defibrillators (AEDs) for out-of-hospital cardiac arrest. Delays occur before (between emergency call and drone take-off) and after drone flight itself (related to bystander interaction with drone/AED). The emergency call-handler may have an important role in helping bystanders retrieve and use an AED.","url":"https://doi.org/10.1016/j.resplu.2025.101045","authors":["Smith CM","Powell C","Bernstein CJ","Howe H","Holt M","O'Sullivan M","Couper K","Rees N"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025","addedAt":"2026-08-06T22:48:49.927Z","doi":"10.1016/j.resplu.2025.101045","updatedAt":"2026-08-31T06:40:02.533Z"},{"id":"doi:10.1038/s41598-026-39739-2","name":"AI-enabled drones for date palm pollination.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41598-026-39739-2","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:49.927Z","doi":"10.1038/s41598-026-39739-2","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.1002/hsr2.72396","name":"Transforming Hematology Care in Africa: Strategies for Enhanced Diagnosis and Treatment.","source":"europepmc","abstract":"","url":"https://doi.org/10.1002/hsr2.72396","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:49.927Z","doi":"10.1002/hsr2.72396","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.20944/preprints202512.1818.v1","name":"Predicting Technological Trends and Effects Enabling Large-Scale Supply Drones","source":"europepmc","abstract":"","url":"https://doi.org/10.20944/preprints202512.1818.v1","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","addedAt":"2026-08-06T22:48:49.927Z","doi":"10.20944/preprints202512.1818.v1","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"arxiv:0905.2789v3","name":"Neurobiologically Inspired Control of Engineered Flapping Flight","source":"arxiv","abstract":"This article presents a new control approach and a dynamic model for engineered flapping flight with many interacting degrees of freedom. This paper explores the applications of neurobiologically inspired control systems in the form of Central Pattern Generators (CPG) to control flapping flight dynamics. A rigorous mathematical and control theoretic framework to design complex three dimensional wing motions is presented based on phase synchronization of nonlinear oscillators. In particular, we show the flapping flying dynamics without a tail or traditional aerodynamic control surfaces can be effectively controlled by a reduced set of CPG parameters that generate phase-synchronized or symmetry-breaking oscillatory motions of two main wings. Furthermore, by using Hopf bifurcation, we show that tailless aircraft alternating between flapping and gliding can be effectively stabilized by smooth wing motions driven by the CPG network. Results of numerical simulation with a full six degree-of-freedom flight dynamic model validate the effectiveness of the proposed neurobiologically inspired control approach.","url":"https://arxiv.org/abs/0905.2789v3","authors":["Soon-Jo Chung","Michael Dorothy"],"tags":["math.OC","math.DS"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2009-05-18T02:46:40Z","addedAt":"2026-08-06T22:48:52.578Z"},{"id":"arxiv:1409.3083v2","name":"Flight control of tethered kites in autonomous pumping cycles for airborne wind energy","source":"arxiv","abstract":"Energy harvesting based on tethered kites benefits from exploiting higher wind speeds at higher altitudes. The setup considered in this paper is based on a pumping cycle. It generates energy by winching out at high tether forces, driving an electrical generator while flying crosswind. Then it winches in at a stationary neutral position, thus leaving a net amount of generated energy. The focus of this paper is put on the flight control design, which implements an accurate direction control towards target points and allows for a flight with an eight-down pattern. An extended overview on the control system approach, as well as details of each element of the flight controller, are presented. The control architecture is motivated by a simple, yet comprehensive model for the kite dynamics. In addition, winch strategies based on an optimization scheme are presented. In order to demonstrate the real world functionality of the presented algorithms, flight data from a fully automated pumping-cycle operation of a small-scale prototype are given. The setup is based on a 30m$^2$ kite linked to a ground-based 50kW electrical motor/generator by a single line.","url":"https://arxiv.org/abs/1409.3083v2","authors":["Michael Erhard","Hans Strauch"],"tags":["eess.SY"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2014-09-10T14:21:15Z","addedAt":"2026-08-06T22:48:52.578Z"},{"id":"arxiv:2001.06231v1","name":"A generalized Bellman-Ford Algorithm for Application in Symbolic Optimal Control","source":"arxiv","abstract":"Symbolic controller synthesis is a fully-automated and correct-by-design synthesis scheme whose limitations are its immense memory and runtime requirements. A current trend to compensate for this downside is to develop techniques for parallel execution of the scheme both in mathematical foundation and in software implementation. In this paper we present a generalized Bellman-Ford algorithm to be used in the so-called symbolic optimal control, which is an extension of the aforementioned synthesis scheme. Compared to the widely used Dijkstra algorithm our algorithm has two advantages. It allows for cost functions taking arbitrary (e.g. negative) values and for parallel execution with the ability for trading processing speed for memory consumption. We motivate the usefulness of negative cost values on a scenario of aerial firefighting with unmanned aerial vehicles. In addition, this four-dimensional numerical example, which is rich in detail, demonstrates the great performance of our algorithm.","url":"https://arxiv.org/abs/2001.06231v1","authors":["Alexander Weber","Marcus Kreuzer","Alexander Knoll"],"tags":["math.OC","eess.SY"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2020-01-17T10:40:34Z","addedAt":"2026-08-06T22:48:52.578Z"},{"id":"arxiv:1304.2233v1","name":"Sensors and Navigation Algorithms for Flight Control of Tethered Kites","source":"arxiv","abstract":"We present the sensor setup and the basic navigation algorithm used for the flight control of the SkySails towing kite system. Starting with brief summaries on system setup and equations of motion of the tethered kite system, we subsequently give an overview of the sensor setup, present the navigation task and discuss challenges which have to be mastered. In the second part we introduce in detail the inertial navigation algorithm which has been used for operational flights for years. The functional capability of this algorithm is illustrated by experimental flight data. Finally we suggest a modification of the algorithms as further development step in order to overcome certain limitations.","url":"https://arxiv.org/abs/1304.2233v1","authors":["Michael Erhard","Hans Strauch"],"tags":["eess.SY"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2013-04-08T15:14:56Z","addedAt":"2026-08-06T22:48:52.578Z"},{"id":"arxiv:2008.09071v3","name":"Implementation of model predictive control for tracking in embedded systems using a sparse extended ADMM algorithm","source":"arxiv","abstract":"This article presents a sparse, low-memory footprint optimization algorithm for the implementation of the model predictive control (MPC) for tracking formulation in embedded systems. This MPC formulation has several advantages over standard MPC formulations, such as an increased domain of attraction and guaranteed recursive feasibility even in the event of a sudden reference change. However, this comes at the expense of the addition of a small amount of decision variables to the MPC's optimization problem that complicates the structure of its matrices. We propose a sparse optimization algorithm, based on an extension of the alternating direction method of multipliers, that exploits the structure of this particular MPC formulation. We describe the controller formulation and detail how its structure is exploited by means of the aforementioned optimization algorithm. We show closed-loop simulations comparing the proposed solver against other solvers and approaches from the literature.","url":"https://arxiv.org/abs/2008.09071v3","authors":["Pablo Krupa","Ignacio Alvarado","Daniel Limon","Teodoro Alamo"],"tags":["eess.SY","math.OC"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2020-08-20T16:47:59Z","addedAt":"2026-08-06T22:48:52.578Z"},{"id":"arxiv:2604.21989v1","name":"Model Predictive Control of Hybrid Dynamical Systems","source":"arxiv","abstract":"The problem of controlling hybrid dynamical systems using model predictive control (MPC) is formulated and sufficient conditions for asymptotic stability of a set are provided. Hybrid dynamical systems are modeled in terms of hybrid equations, involving a differential equation and a difference equation with inputs and constraints. The proposed hybrid MPC algorithm uses a suitable prediction and control horizon construction inspired by hybrid time domains. Structural properties of the hybrid optimization problem, its feasible set, and its value function are provided. Checkable conditions to guarantee asymptotic stability of a set are provided. These conditions are given in terms of properties on the stage cost, terminal cost, and the existence of static state-feedback laws, related through a control Lyapunov function condition. Examples illustrate the results throughout the paper.","url":"https://arxiv.org/abs/2604.21989v1","authors":["Ricardo G. Sanfelice","Berk Altin"],"tags":["math.OC","cs.AI","cs.RO","eess.SY","math.DS"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2026-04-23T18:15:44Z","addedAt":"2026-08-06T22:48:52.578Z"},{"id":"arxiv:2006.11141v1","name":"Control of a Rigid Wing Pumping Airborne Wind Energy System in all Operational Phases","source":"arxiv","abstract":"The control design of an airborne wind energy system with rigid aircraft, vertical take-off and landing, and pumping operation is described. A hierarchical control structure is implemented, in order to address all operational phases: take-off, transition to power generation, pumping energy generation cycles, transition to hovering, and landing. Control design at all hierarchical levels is described. The design approach is conceived and developed with real-world applicability as main driver. Aircraft design considerations in light of system maneuverability are presented, too, as well as three possible alternative strategies for the retraction phase of the pumping cycle. The automatic control approach is assessed in simulation with a realistic model of the overall system, and the results yield a comparison among the three retraction strategies, clearly indicating the most efficient one. The presented results allow one to simulate the dynamical behavior of an AWE system in all operational phases, enabling further studies on all-round system automation, towards fully autonomous and reliable operation.","url":"https://arxiv.org/abs/2006.11141v1","authors":["Davide Todeschini","Lorenzo Fagiano","Claudio Micheli","Aldo Cattano"],"tags":["eess.SY","math.OC"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2020-06-19T13:52:38Z","addedAt":"2026-08-06T22:48:52.578Z"},{"id":"arxiv:2104.01704v1","name":"Safe Control Synthesis via Input Constrained Control Barrier Functions","source":"arxiv","abstract":"This paper introduces the notion of an Input Constrained Control Barrier Function (ICCBF), as a method to synthesize safety-critical controllers for non-linear control affine systems with input constraints. The method identifies a subset of the safe set of states, and constructs a controller to render the subset forward invariant. The feedback controller is represented as the solution to a quadratic program, which can be solved efficiently for real-time implementation. Furthermore, we show that ICCBFs are a generalization of Higher Order Control Barrier Functions, and thus are applicable to systems of non-uniform relative degree. Simulation results are presented for the adaptive cruise control problem, and a spacecraft rendezvous problem.","url":"https://arxiv.org/abs/2104.01704v1","authors":["Devansh Agrawal","Dimitra Panagou"],"tags":["math.OC","eess.SY"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2021-04-04T21:50:42Z","addedAt":"2026-08-06T22:48:52.578Z"},{"id":"arxiv:2003.05711v1","name":"Exponential input-to-state stabilization of a class of diagonal boundary control systems with delay boundary control","source":"arxiv","abstract":"This paper deals with the exponential input-to-state stabilization with respect to boundary disturbances of a class of diagonal infinite-dimensional systems via delay boundary control. The considered input delays are uncertain and time-varying. The proposed control strategy consists of a constant-delay predictor feedback controller designed on a truncated finite-dimensional model capturing the unstable modes of the original infinite-dimensional system. We show that the resulting closed-loop system is exponentially input-to-state stable with fading memory of both additive boundary input perturbations and disturbances in the computation of the predictor feedback.","url":"https://arxiv.org/abs/2003.05711v1","authors":["Hugo Lhachemi","Robert Shorten","Christophe Prieur"],"tags":["math.OC","eess.SY"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2020-03-12T11:22:00Z","addedAt":"2026-08-06T22:48:52.578Z"},{"id":"arxiv:1105.3788v3","name":"A Control-Oriented Notion of Finite State Approximation","source":"arxiv","abstract":"We consider the problem of approximating discrete-time plants with finite-valued sensors and actu- ators by deterministic finite memory systems for the purpose of certified-by-design controller synthesis. Building on ideas from robust control, we propose a control-oriented notion of finite state approximation for these systems, demonstrate its relevance to the control synthesis problem, and discuss its key features.","url":"https://arxiv.org/abs/1105.3788v3","authors":["Danielle C. Tarraf"],"tags":["math.OC","eess.SY"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2011-05-19T04:55:00Z","addedAt":"2026-08-06T22:48:52.578Z"},{"id":"arxiv:2511.20843v1","name":"A Review of Pseudospectral Optimal Control: From Theory to Flight","source":"arxiv","abstract":"The home space for optimal control is a Sobolev space. The home space for pseudospectral theory is also a Sobolev space. It thus seems natural to combine pseudospectral theory with optimal control theory and construct ``pseudospectral optimal control theory,'' a term coined by Ross. In this paper, we review key theoretical results in pseudospectral optimal control that have proven to be critical for a successful flight. Implementation details of flight demonstrations onboard NASA spacecraft are discussed along with emerging trends and techniques in both theory and practice. The 2011 launch of pseudospectral optimal control in embedded platforms is changing the way in which we see solutions to challenging control problems in aerospace and autonomous systems.","url":"https://arxiv.org/abs/2511.20843v1","authors":["I. M. Ross","M. Karpenko"],"tags":["math.OC","cs.AI","eess.SY","math.FA","math.NA"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2025-11-25T20:47:48Z","addedAt":"2026-08-06T22:48:52.578Z"},{"id":"arxiv:2509.00337v1","name":"A Quantum-Compliant Formulation for Network Epidemic Control","source":"arxiv","abstract":"We deal with controlling the spread of an epidemic disease on a network by isolating one or multiple locations by banning people from leaving them. To this aim, we build on the susceptible-infected-susceptible and the susceptible-infected-removed discrete-time network models, encapsulating a control action that captures mobility bans via removing links from the network. Then, we formulate the problem of optimally devising a control policy based on mobility bans that trades-off the burden on the healthcare system and the social and economic costs associated with interventions. The binary nature of mobility bans hampers the possibility to solve the control problem with standard optimization methods, yielding a NP-hard problem. Here, this is tackled by deriving a Quadratic Unconstrained Binary Optimization (QUBO) formulation of the control problem, and leveraging the growing potentialities of quantum computing to efficiently solve it.","url":"https://arxiv.org/abs/2509.00337v1","authors":["Lorenzo Zino","Mattia Boggio","Deborah Volpe","Giacomo Orlandi","Giovanna Turvani","Carlo Novara"],"tags":["eess.SY","math.OC","physics.soc-ph"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2025-08-30T03:36:25Z","addedAt":"2026-08-06T22:48:52.578Z"},{"id":"arxiv:2305.07875v3","name":"On $\\ell_2$-performance of weakly-hard real-time control systems","source":"arxiv","abstract":"This paper considers control systems with failures in the feedback channel, that occasionally lead to loss of the control input signal. A useful approach for modeling such failures is to consider window-based constraints on possible loss sequences, for example that at least r control attempts in every window of s are successful. A powerful framework to model such constraints are weakly-hard real-time constraints. Various approaches for stability analysis and the synthesis of stabilizing controllers for such systems have been presented in the past. However, existing results are mostly limited to asymptotic stability and rarely consider performance measures such as the resulting $\\ell_2$-gain. To address this problem, we adapt a switched system description where the switching sequence is constrained by a graph that captures the loss information. We present an approach for $\\ell_2$-performance analysis involving linear matrix inequalities (LMI). Further, leveraging a system lifting method, we propose an LMI-based approach for synthesizing state-feedback controllers with guaranteed $\\ell_2$-performance. The results are illustrated by a numerical example.","url":"https://arxiv.org/abs/2305.07875v3","authors":["Marc Seidel","Simon Lang","Frank Allgöwer"],"tags":["eess.SY","math.OC"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2023-05-13T09:18:35Z","addedAt":"2026-08-06T22:48:52.578Z"},{"id":"arxiv:1307.0141v1","name":"Convergence of the shooting algorithm for singular optimal control problems","source":"arxiv","abstract":"In this article we propose a shooting algorithm for optimal control problems governed by systems that are affine in one part of the control variable. Finitely many equality constraints on the initial and final state are considered. We recall a second order sufficient condition for weak optimality, and show that it guarantees the local quadratic convergence of the algorithm. We show an example and solve it numerically.","url":"https://arxiv.org/abs/1307.0141v1","authors":["Maria Soledad Aronna"],"tags":["math.OC","math.NA"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2013-06-29T18:52:52Z","addedAt":"2026-08-06T22:48:52.578Z"},{"id":"arxiv:2011.11355v3","name":"Data-Driven Control of Nonlinear Systems: Beyond Polynomial Dynamics","source":"arxiv","abstract":"In this paper, we present a data-driven controller design method for continuous-time nonlinear systems, using no model knowledge but only measured data affected by noise. While most existing approaches focus on systems with polynomial dynamics, our approach allows to design controllers for unknown systems with rational or general non-polynomial dynamics. We first derive a data-driven parametrization of unknown nonlinear systems with rational dynamics. By applying robust control techniques to this parametrization, we obtain sum-of-squares based criteria for designing controllers with closed-loop robust stability and performance guarantees for all systems which are consistent with the measured data and the assumed noise bound. We then apply this approach to control systems whose dynamics are linear in general non-polynomial basis functions by transforming them into polynomial systems. Finally, we apply the developed approaches to numerical examples.","url":"https://arxiv.org/abs/2011.11355v3","authors":["Robin Strässer","Julian Berberich","Frank Allgöwer"],"tags":["eess.SY","math.OC"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2020-11-23T12:14:28Z","addedAt":"2026-08-06T22:48:52.578Z"},{"id":"arxiv:2307.03004v2","name":"Analysis and design of model predictive control frameworks for dynamic operation -- An overview","source":"arxiv","abstract":"This article provides an overview of model predictive control (MPC) frameworks for dynamic operation of nonlinear constrained systems. Dynamic operation is often an integral part of the control objective, ranging from tracking of reference signals to the general economic operation of a plant under online changing time-varying operating conditions. We focus on the particular challenges that arise when dealing with such more general control goals and present methods that have emerged in the literature to address these issues. The goal of this article is to present an overview of the state-of-the-art techniques, providing a diverse toolkit to apply and further develop MPC formulations that can handle the challenges intrinsic to dynamic operation. We also critically assess the applicability of the different research directions, discussing limitations and opportunities for further research.","url":"https://arxiv.org/abs/2307.03004v2","authors":["Johannes Köhler","Matthas A. Müller","Frank Allgöwer"],"tags":["eess.SY","math.OC"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2023-07-06T14:07:51Z","addedAt":"2026-08-06T22:48:52.578Z"},{"id":"arxiv:2403.17711v1","name":"Using quantum computers in control: interval matrix properties","source":"arxiv","abstract":"Quantum computing provides a powerful framework for tackling computational problems that are classically intractable. The goal of this paper is to explore the use of quantum computers for solving relevant problems in systems and control theory. In the recent literature, different quantum algorithms have been developed to tackle binary optimization, which plays an important role in various control-theoretic problems. As a prototypical example, we consider the verification of interval matrix properties such as non-singularity and stability on a quantum computer. We present a quantum algorithm solving these problems and we study its performance in simulation. Our results demonstrate that quantum computers provide a promising tool for control whose applicability to further computationally complex problems remains to be explored.","url":"https://arxiv.org/abs/2403.17711v1","authors":["Jan Schneider","Julian Berberich"],"tags":["eess.SY","math.OC","quant-ph"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2024-03-26T13:58:21Z","addedAt":"2026-08-06T22:48:52.578Z"},{"id":"arxiv:1902.06026v1","name":"Geometric Programming-Based Control for Nonlinear, DAE-Constrained Water Distribution Networks","source":"arxiv","abstract":"Control of water distribution networks (WDNs) can be represented by an optimization problem with hydraulic models describing the nonlinear relationship between head loss, water flow, and demand. The problem is difficult to solve due to the non-convexity in the equations governing water flow. Previous methods used to obtain WDN controls (i.e., operational schedules for pumps and valves) have adopted simplified hydraulic models. One common assumption found in the literature is the modification of WDN topology to exclude loops and assume a known water flow direction. In this paper, we present a new geometric programming-based model predictive control approach, designed to solve the water flow equations and obtain WDN controls. The paper considers the nonlinear difference algebraic equation (DAE) form of the WDN dynamics, and the GP approach amounts to solving a series of convex optimization problems and requires neither the knowledge of water flow direction nor does it restrict the water network topology. A case study is presented to illustrate the performance of the proposed method.","url":"https://arxiv.org/abs/1902.06026v1","authors":["Shen Wang","Ahmad F. Taha","Nikolaos Gatsis","Marcio Giacomoni"],"tags":["math.OC","eess.SY"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2019-02-16T02:12:19Z","addedAt":"2026-08-06T22:48:52.578Z"},{"id":"arxiv:1807.03475v1","name":"On Controller Design for Systems on Manifolds in Euclidean Space","source":"arxiv","abstract":"A new method is developed to design controllers in Euclidean space for systems defined on manifolds. The idea is to embed the state-space manifold $M$ of a given control system into some Euclidean space $\\mathbb R^n$, extend the system from $M$ to the ambient space $\\mathbb R^n$, and modify it outside $M$ to add transversal stability to $M$ in the final dynamics in $\\mathbb R^n$. Controllers are designed for the final system in the ambient space $\\mathbb R^n$. Then, their restriction to $M$ produces controllers for the original system on $M$. This method has the merit that only one single global Cartesian coordinate system in the ambient space $\\mathbb R^n$ is used for controller synthesis, and any controller design method in $\\mathbb R^n$, such as the linearization method, can be globally applied for the controller synthesis. The proposed method is successfully applied to the tracking problem for the following two benchmark systems: the fully actuated rigid body system and the quadcopter drone system.","url":"https://arxiv.org/abs/1807.03475v1","authors":["Dong Eui Chang"],"tags":["math.OC","cs.RO","eess.SY"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2018-07-10T04:18:41Z","addedAt":"2026-08-06T22:48:52.578Z"},{"id":"arxiv:2411.03875v6","name":"Koopman-based control using sum-of-squares optimization: Improved stability guarantees and data efficiency","source":"arxiv","abstract":"In this paper, we propose a novel controller design approach for unknown nonlinear systems using the Koopman operator. In particular, we use the recently proposed stability- and feedback-oriented extended dynamic mode decomposition (SafEDMD) architecture to generate a data-driven bilinear surrogate model with certified error bounds. Then, by accounting for the obtained error bounds in a controller design based on the bilinear system, one can guarantee closed-loop stability for the true nonlinear system. While existing approaches over-approximate the bilinearity of the surrogate model, thus introducing conservatism and providing only local guarantees, we explicitly account for the bilinearity by using sum-of-squares (SOS) optimization in the controller design. More precisely, we parametrize a rational controller stabilizing the error-affected bilinear surrogate model and, consequently, the underlying nonlinear system. The resulting SOS optimization problem provides explicit data-driven controller design conditions for unknown nonlinear systems based on semidefinite programming. Our approach significantly reduces conservatism by establishing a larger region of attraction and improved data efficiency. The proposed method is evaluated using numerical examples, demonstrating its advantages over existing approaches.","url":"https://arxiv.org/abs/2411.03875v6","authors":["Robin Strässer","Julian Berberich","Frank Allgöwer"],"tags":["eess.SY","math.OC"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2024-11-06T12:44:41Z","addedAt":"2026-08-06T22:48:52.578Z"},{"id":"arxiv:2212.03225v1","name":"Robust Local Stabilization of Nonlinear Systems with Controller-Dependent Norm Bounds: A Convex Approach with Input-Output Sampling","source":"arxiv","abstract":"This letter presents a framework for synthesizing a robust full-state feedback controller for systems with unknown nonlinearities. Our approach characterizes input-output behavior of the nonlinearities in terms of local norm bounds using available sampled data corresponding to a known region about an equilibrium point. A challenge in this approach is that if the nonlinearities have explicit dependence on the control inputs, an a priori selection of the control input sampling region is required to determine the local norm bounds. This leads to a \"chicken and egg\" problem, where the local norm bounds are required for controller synthesis, but the region of control inputs needed to be characterized cannot be known prior to synthesis of the controller. To tackle this issue, we constrain the closed-loop control inputs within the sampling region while synthesizing the controller. As the resulting synthesis problem is non-convex, three semi-definite programs (SDPs) are obtained through convex relaxations of the main problem, and an iterative algorithm is constructed using these SDPs for control synthesis. Two numerical examples are included to demonstrate the effectiveness of the proposed algorithm.","url":"https://arxiv.org/abs/2212.03225v1","authors":["Sze Kwan Cheah","Diganta Bhattacharjee","Maziar S. Hemati","Ryan J. Caverly"],"tags":["math.OC","eess.SY"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2022-12-06T18:46:49Z","addedAt":"2026-08-06T22:48:52.578Z"},{"id":"arxiv:2204.00208v2","name":"Predictive Control Barrier Functions for Online Safety Critical Control","source":"arxiv","abstract":"This paper presents a methodology for constructing Control Barrier Functions (CBFs) that proactively consider the future safety of a system along a nominal trajectory, and effect corrective action before the trajectory leaves a designated safe set. Specifically, this paper presents a systematic approach for propagating a nominal trajectory on a receding horizon, and then encoding the future safety of this trajectory into a CBF. If the propagated trajectory is unsafe, then a controller satisfying the CBF condition will modify the nominal trajectory before the trajectory becomes unsafe. Compared to existing CBF techniques, this strategy is proactive rather than reactive and thus potentially results in smaller modifications to the nominal trajectory. The proposed strategy is shown to be provably safe, and then is demonstrated in simulated scenarios where it would otherwise be difficult to construct a traditional CBF. In simulation, the predictive CBF results in less modification to the nominal trajectory and smaller control inputs than a traditional CBF, and faster computations than a nonlinear model predictive control approach.","url":"https://arxiv.org/abs/2204.00208v2","authors":["Joseph Breeden","Dimitra Panagou"],"tags":["math.OC","eess.SY"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2022-04-01T05:01:36Z","addedAt":"2026-08-06T22:48:52.578Z"},{"id":"arxiv:2302.01021v2","name":"Faster Consensus via a Sparser Controller","source":"arxiv","abstract":"In this paper, we investigate the architecture of an optimal controller that maximizes the convergence speed of a consensus protocol with single-integrator dynamics. Under the assumption that communication delays increase with the number of hops from which information is allowed to reach each agent, we address the optimal control design under delayed feedback and show that the optimal controller features, in general, a sparsely connected architecture.","url":"https://arxiv.org/abs/2302.01021v2","authors":["Luca Ballotta","Vijay Gupta"],"tags":["math.OC","cs.DC","eess.SY"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2023-02-02T11:15:17Z","addedAt":"2026-08-06T22:48:52.578Z"},{"id":"arxiv:2412.00736v1","name":"Bringing Quantum Systems under Control: A Tutorial Invitation to Quantum Computing and Its Relation to Bilinear Control Systems","source":"arxiv","abstract":"Quantum computing comes with the potential to push computational boundaries in various domains including, e.g., cryptography, simulation, optimization, and machine learning. Exploiting the principles of quantum mechanics, new algorithms can be developed with capabilities that are unprecedented by classical computers. However, the experimental realization of quantum devices is an active field of research with enormous open challenges, including robustness against noise and scalability. While systems and control theory plays a crucial role in tackling these challenges, the principles of quantum physics lead to a (perceived) high entry barrier for entering the field of quantum computing. This tutorial paper aims at lowering the barrier by introducing basic concepts required to understand and solve research problems in quantum systems. First, we introduce fundamentals of quantum algorithms, ranging from basic ingredients such as qubits and quantum logic gates to prominent examples and more advanced concepts, e.g., variational quantum algorithms. Next, we formalize some engineering questions for building quantum devices in the real world, which requires the careful manipulation of microscopic quantities obeying quantum effects. To this end for N-level systems, we introduce basic concepts of (bilinear) quantum systems and control theory including controllability, observability, and optimal control in a unified frame. Finally, we address the problem of noise in real-world quantum systems via robust quantum control, which relies on a set-membership uncertainty description frequently employed in control.","url":"https://arxiv.org/abs/2412.00736v1","authors":["Julian Berberich","Robert L. Kosut","Thomas Schulte-Herbrüggen"],"tags":["eess.SY","math.OC"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2024-12-01T09:02:13Z","addedAt":"2026-08-06T22:48:52.578Z"},{"id":"arxiv:1409.6941v1","name":"Individual risk in mean-field control models for decentralized control, with application to automated demand response","source":"arxiv","abstract":"Flexibility of energy consumption can be harnessed for the purposes of ancillary services in a large power grid. In prior work by the authors a randomized control architecture is introduced for individual loads for this purpose. In examples it is shown that the control architecture can be designed so that control of the loads is easy at the grid level: Tracking of a balancing authority reference signal is possible, while ensuring that the quality of service (QoS) for each load is acceptable on average. The analysis was based on a mean field limit (as the number of loads approaches infinity), combined with an LTI-system approximation of the aggregate nonlinear model. This paper examines in depth the issue of individual risk in these systems. The main contributions of the paper are of two kinds: Risk is modeled and quantified: (i) The average performance is not an adequate measure of success. It is found empirically that a histogram of QoS is approximately Gaussian, and consequently each load will eventually receive poor service. (ii) The variance can be estimated from a refinement of the LTI model that includes a white-noise disturbance; variance is a function of the randomized policy, as well as the power spectral density of the reference signal. Additional local control can eliminate risk: (iii) The histogram of QoS is truncated through this local control, so that strict bounds on service quality are guaranteed. (iv) This has insignificant impact on the grid-level performance, beyond a modest reduction in capacity of ancillary service.","url":"https://arxiv.org/abs/1409.6941v1","authors":["Yue Chen","Ana Bušić","Sean Meyn"],"tags":["math.OC","eess.SY"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2014-09-24T13:15:11Z","addedAt":"2026-08-06T22:48:52.578Z"},{"id":"arxiv:2403.06640v2","name":"Passive iFIR Filters for Data-Driven Control","source":"arxiv","abstract":"We consider the design of a new class of passive iFIR controllers given by the parallel action of an integrator and a finite impulse response filter. iFIRs are more expressive than PID controllers but retain their features and simplicity. The paper provides a model-free data-driven design for passive iFIR controllers based on virtual reference feedback tuning. Passivity is enforced through constrained optimization (three different formulations are discussed). The proposed design does not rely on large datasets or accurate plant models.","url":"https://arxiv.org/abs/2403.06640v2","authors":["Zixing Wang","Yongkang Huo","Fulvio Forni"],"tags":["eess.SY","cs.RO","math.OC"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2024-03-11T11:59:24Z","addedAt":"2026-08-06T22:48:52.578Z"},{"id":"arxiv:2201.05212v3","name":"Probabilistic design of optimal sequential decision-making algorithms in learning and control","source":"arxiv","abstract":"This survey is focused on certain sequential decision-making problems that involve optimizing over probability functions. We discuss the relevance of these problems for learning and control. The survey is organized around a framework that combines a problem formulation and a set of resolution methods. The formulation consists of an infinite-dimensional optimization problem. The methods come from approaches to search optimal solutions in the space of probability functions. Through the lenses of this overarching framework we revisit popular learning and control algorithms, showing that these naturally arise from suitable variations on the formulation mixed with different resolution methods. A running example, for which we make the code available, complements the survey. Finally, a number of challenges arising from the survey are also outlined.","url":"https://arxiv.org/abs/2201.05212v3","authors":["Emiland Garrabe","Giovanni Russo"],"tags":["math.OC","eess.SY"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2022-01-13T21:05:50Z","addedAt":"2026-08-06T22:48:52.578Z"},{"id":"arxiv:2010.00268v1","name":"Encrypted control for networked systems -- An illustrative introduction and current challenges","source":"arxiv","abstract":"Cloud computing and distributed computing are becoming ubiquitous in many modern control systems such as smart grids, building automation, robot swarms or intelligent transportation systems. Compared to \"isolated\" control systems, the advantages of cloud-based and distributed control systems are, in particular, resource pooling and outsourcing, rapid scalability, and high performance. However, these capabilities do not come without risks. In fact, the involved communication and processing of sensitive data via public networks and on third-party platforms promote, among other cyberthreats, eavesdropping and manipulation of data. Encrypted control addresses this security gap and provides confidentiality of the processed data in the entire control loop. This paper presents a tutorial-style introduction to this young but emerging field in the framework of secure control for networked dynamical systems.","url":"https://arxiv.org/abs/2010.00268v1","authors":["M. Schulze Darup","A. B. Alexandru","D. E. Quevedo","G. J. Pappas"],"tags":["eess.SY","cs.CR","math.OC"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2020-10-01T09:19:30Z","addedAt":"2026-08-06T22:48:52.578Z"},{"id":"arxiv:2309.04378v1","name":"On the relationship between control barrier functions and projected dynamical systems","source":"arxiv","abstract":"In this paper, we study the relationship between systems controlled via Control Barrier Function (CBF) approaches and a class of discontinuous dynamical systems, called Projected Dynamical Systems (PDSs). In particular, under appropriate assumptions, we show that the vector field of CBF-controlled systems is a Krasovskii-like perturbation of the set-valued map of a differential inclusion, that abstracts PDSs. This result provides a novel perspective to analyze and design CBF-based controllers. Specifically, we show how, in certain cases, it can be employed for designing CBF-based controllers that, while imposing safety, preserve asymptotic stability and do not introduce undesired equilibria or limit cycles. Finally, we briefly discuss about how it enables continuous implementations of certain projection-based controllers, that are gaining increasing popularity.","url":"https://arxiv.org/abs/2309.04378v1","authors":["Giannis Delimpaltadakis","W. P. M. H. Heemels"],"tags":["eess.SY","math.OC"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2023-09-08T15:20:56Z","addedAt":"2026-08-06T22:48:52.578Z"},{"id":"arxiv:2503.13407v4","name":"Kernel-based error bounds of bilinear Koopman surrogate models for nonlinear data-driven control","source":"arxiv","abstract":"We derive novel deterministic bounds on the approximation error of data-based bilinear surrogate models for unknown nonlinear systems. The surrogate models are constructed using kernel-based extended dynamic mode decomposition to approximate the Koopman operator in a reproducing kernel Hilbert space. Unlike previous methods that require restrictive assumptions on the invariance of the dictionary, our approach leverages kernel-based dictionaries that allow us to control the projection error via pointwise error bounds, overcoming a significant limitation of existing theoretical guarantees. The derived state- and input-dependent error bounds allow for direct integration into Koopman-based robust controller designs with closed-loop guarantees for the unknown nonlinear system. Numerical examples illustrate the effectiveness of the proposed framework.","url":"https://arxiv.org/abs/2503.13407v4","authors":["Robin Strässer","Manuel Schaller","Julian Berberich","Karl Worthmann","Frank Allgöwer"],"tags":["eess.SY","math.OC"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2025-03-17T17:38:19Z","addedAt":"2026-08-06T22:48:52.578Z"},{"id":"arxiv:2504.00813v3","name":"Feedback Optimization with State Constraints through Control Barrier Functions","source":"arxiv","abstract":"Recently, there has been a surge of research on a class of methods called feedback optimization. These are methods to steer the state of a control system to an equilibrium that arises as the solution of an optimization problem. Despite the growing literature on the topic, the important problem of enforcing state constraints at all times remains unaddressed. In this work, we present the first feedback-optimization method that enforces state constraints. The method combines a class of dynamics called safe gradient flows with high-order control barrier functions. We provide a number of results on our proposed controller, including well-posedness guarantees, anytime constraint-satisfaction guarantees, equivalence between the closed-loop's equilibria and the optimization problem's critical points, and local asymptotic stability of optima.","url":"https://arxiv.org/abs/2504.00813v3","authors":["Giannis Delimpaltadakis","Pol Mestres","Jorge Cortés","W. P. M. H. Heemels"],"tags":["math.OC","eess.SY"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2025-04-01T14:04:09Z","addedAt":"2026-08-06T22:48:52.578Z"},{"id":"arxiv:2107.08360v4","name":"Duality-based Convex Optimization for Real-time Obstacle Avoidance between Polytopes with Control Barrier Functions","source":"arxiv","abstract":"Developing controllers for obstacle avoidance between polytopes is a challenging and necessary problem for navigation in tight spaces. Traditional approaches can only formulate the obstacle avoidance problem as an offline optimization problem. To address these challenges, we propose a duality-based safety-critical optimal control using nonsmooth control barrier functions for obstacle avoidance between polytopes, which can be solved in real-time with a QP-based optimization problem. A dual optimization problem is introduced to represent the minimum distance between polytopes and the Lagrangian function for the dual form is applied to construct a control barrier function. We validate the obstacle avoidance with the proposed dual formulation for L-shaped (sofa-shaped) controlled robot in a corridor environment. We demonstrate real-time tight obstacle avoidance with non-conservative maneuvers on a moving sofa (piano) problem with nonlinear dynamics.","url":"https://arxiv.org/abs/2107.08360v4","authors":["Akshay Thirugnanam","Jun Zeng","Koushil Sreenath"],"tags":["eess.SY","cs.RO","math.OC"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2021-07-18T04:27:31Z","addedAt":"2026-08-06T22:48:52.578Z"},{"id":"arxiv:2303.17963v4","name":"Learning-Based Optimal Control with Performance Guarantees for Unknown Systems with Latent States","source":"arxiv","abstract":"As control engineering methods are applied to increasingly complex systems, data-driven approaches for system identification appear as a promising alternative to physics-based modeling. While the Bayesian approaches prevalent for safety-critical applications usually rely on the availability of state measurements, the states of a complex system are often not directly measurable. It may then be necessary to jointly estimate the dynamics and the latent state, making the quantification of uncertainties and the design of controllers with formal performance guarantees considerably more challenging. This paper proposes a novel method for the computation of an optimal input trajectory for unknown nonlinear systems with latent states based on a combination of particle Markov chain Monte Carlo methods and scenario theory. Probabilistic performance guarantees are derived for the resulting input trajectory, and an approach to validate the performance of arbitrary control laws is presented. The effectiveness of the proposed method is demonstrated in a numerical simulation.","url":"https://arxiv.org/abs/2303.17963v4","authors":["Robert Lefringhausen","Supitsana Srithasan","Armin Lederer","Sandra Hirche"],"tags":["eess.SY","cs.LG","math.OC","stat.ML"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2023-03-31T11:06:09Z","addedAt":"2026-08-06T22:48:52.578Z"},{"id":"arxiv:2504.18951v3","name":"Quadratic Programming Approach to Flight Envelope Protection Using Control Barrier Functions","source":"arxiv","abstract":"Ensuring the safe operation of aerospace systems within their prescribed flight envelope is a fundamental requirement for modern flight control systems. Flight envelope protection (FEP) prevents violations of aerodynamic, structural, and performance constraints, mitigating risks such as stall, excessive loads, and loss of control. Conventional FEP approaches, such as reference clipping via saturation functions and model-based command filtering, impose constraints at the reference input level but often fail to account for closed-loop system dynamics, potentially leading to constraint violations during transients. This paper introduces a new approach to flight envelope protection by employing a quadratic-programming-based safety filter using control barrier functions to dynamically enforce flight envelope constraints while preserving control performance. Unlike traditional reference filtering methods, the proposed control barrier function-based safety filter actively ensures forward invariance of the safe flight envelope set while seamlessly integrating with existing control architectures. The framework is implemented in a nonlinear missile flight control system and evaluated in a simulated environment. The results demonstrate its ability to prevent constraint violations while minimizing conservatism, offering a robust alternative to existing flight envelope protection methodologies.","url":"https://arxiv.org/abs/2504.18951v3","authors":["Johannes Autenrieb"],"tags":["eess.SY"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2025-04-26T15:23:39Z","addedAt":"2026-08-06T22:48:52.578Z"},{"id":"arxiv:2510.14787v2","name":"A Human-Vector Susceptible-Infected-Susceptible Model for Analyzing and Controlling the Spread of Vector-Borne Diseases","source":"arxiv","abstract":"We propose an epidemic model for the spread of vector-borne diseases. The model, which is built extending the classical susceptible-infected-susceptible model, accounts for two populations -- humans and vectors -- and for cross-contagion between the two species, whereby humans become infected upon interaction with carrier vectors, and vectors become carriers after interaction with infected humans. We formulate the model as a system of ordinary differential equations and leverage monotone systems theory to rigorously characterize the epidemic dynamics. Specifically, we characterize the global asymptotic behavior of the disease, determining conditions for quick eradication of the disease (i.e., for which all trajectories converge to a disease-free equilibrium), or convergence to a (unique) endemic equilibrium. Then, we incorporate two control actions: namely, vector control and incentives to adopt protection measures. Using the derived mathematical tools, we assess the impact of these two control actions and determine the optimal control policy.","url":"https://arxiv.org/abs/2510.14787v2","authors":["Lorenzo Zino","Alessandro Casu","Alessandro Rizzo"],"tags":["eess.SY","math.OC","q-bio.PE"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2025-10-16T15:19:15Z","addedAt":"2026-08-06T22:48:52.578Z"},{"id":"arxiv:1112.4113v1","name":"Optimal Control of Vehicular Formations with Nearest Neighbor Interactions","source":"arxiv","abstract":"We consider the design of optimal localized feedback gains for one-dimensional formations in which vehicles only use information from their immediate neighbors. The control objective is to enhance coherence of the formation by making it behave like a rigid lattice. For the single-integrator model with symmetric gains, we establish convexity, implying that the globally optimal controller can be computed efficiently. We also identify a class of convex problems for double-integrators by restricting the controller to symmetric position and uniform diagonal velocity gains. To obtain the optimal non-symmetric gains for both the single- and the double-integrator models, we solve a parameterized family of optimal control problems ranging from an easily solvable problem to the problem of interest as the underlying parameter increases. When this parameter is kept small, we employ perturbation analysis to decouple the matrix equations that result from the optimality conditions, thereby rendering the unique optimal feedback gain. This solution is used to initialize a homotopy-based Newton's method to find the optimal localized gain. To investigate the performance of localized controllers, we examine how the coherence of large-scale stochastically forced formations scales with the number of vehicles. We establish several explicit scaling relationships and show that the best performance is achieved by a localized controller that is both non-symmetric and spatially-varying.","url":"https://arxiv.org/abs/1112.4113v1","authors":["Fu Lin","Makan Fardad","Mihailo R. Jovanović"],"tags":["math.OC","cs.MA","eess.SY"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2011-12-18T03:41:13Z","addedAt":"2026-08-06T22:48:52.578Z"},{"id":"arxiv:2307.10750v2","name":"Implicit predictors in regularized data-driven predictive control","source":"arxiv","abstract":"We introduce the notion of implicit predictors, which characterize the input-(state)-output prediction behavior underlying a predictive control scheme, even if it is not explicitly enforced as an equality constraint (as in traditional model or subspace predictive control). To demonstrate this concept, we derive and analyze implicit predictors for some basic data-driven predictive control (DPC) schemes, which offers a new perspective on this popular approach that may form the basis for modified DPC schemes and further theoretical insights.","url":"https://arxiv.org/abs/2307.10750v2","authors":["Manuel Klädtke","Moritz Schulze Darup"],"tags":["eess.SY","math.OC"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2023-07-20T10:24:33Z","addedAt":"2026-08-06T22:48:52.578Z"},{"id":"arxiv:2003.05962v4","name":"Tube-based Robust Model Predictive Control for a Distributed Parameter System Modeled as a Polytopic LPV (extended version)","source":"arxiv","abstract":"Distributed parameter systems (DPS) are formulated as partial differential equations (PDE). Especially, under time-varying boundary conditions, PDE introduce force coupling. In the case of the flexible stacker crane (STC), nonlinear coupling is introduced. Accordingly, online trajectory planning and tracking can be addressed using a nonlinear model predictive control (NMPC). However, due to the high computational demands of a NMPC, this paper discusses a possibility of embedding nonlinearities inside a linear parameter varying (LPV) system and thus make a use of a numerically low-demanding linear MPC. The resulting mismatches are treated as parametric and additive uncertainties in the context of robust tube-based MPC (TMPC). For the proposed approach, most of the computations are carried out offline. Only a simple convex quadratic program (QP) is conducted online. Additionally a soft-constrained extension was briefly proposed. Simulation results are used to illustrate the good performance, closed-loop stability and recursive feasibility of the proposed approach despite uncertainties.","url":"https://arxiv.org/abs/2003.05962v4","authors":["Joe Ismail","Steven Liu"],"tags":["math.OC","eess.SY"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2020-03-12T18:16:09Z","addedAt":"2026-08-06T22:48:52.578Z"},{"id":"arxiv:2407.13257v5","name":"Predictive control for nonlinear stochastic systems: Closed-loop guarantees with unbounded noise","source":"arxiv","abstract":"We present a stochastic model predictive control framework for nonlinear systems subject to unbounded process noise with closed-loop guarantees. First, we provide a conceptual shrinking-horizon framework that utilizes general probabilistic reachable sets and minimizes the expected cost. Then, we provide a tractable receding-horizon formulation that uses a nominal state to minimize a deterministic quadratic cost and satisfy tightened constraints. Our theoretical analysis demonstrates recursive feasibility, satisfaction of chance constraints, and bounds on the expected cost for the resulting closed-loop system. We provide a constructive design for probabilistic reachable sets of nonlinear continuously differentiable systems using stochastic contraction metrics and an assumed bound on the covariance matrices. Numerical simulations highlight the computational efficiency and theoretical guarantees of the proposed method. Overall, this paper provides a framework for computationally tractable stochastic predictive control with closed-loop guarantees for nonlinear systems with unbounded noise.","url":"https://arxiv.org/abs/2407.13257v5","authors":["Johannes Köhler","Melanie N. Zeilinger"],"tags":["eess.SY","math.OC"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2024-07-18T08:09:31Z","addedAt":"2026-08-06T22:48:52.578Z"},{"id":"arxiv:1301.1064v2","name":"Automatic crosswind flight of tethered wings for airborne wind energy: modeling, control design and experimental results","source":"arxiv","abstract":"An approach to control tethered wings for airborne wind energy is proposed. A fixed length of the lines is considered, and the aim of the control system is to obtain figure-eight crosswind trajectories. The proposed technique is based on the notion of the wing's \"velocity angle\" and, in contrast with most existing approaches, it does not require a measurement of the wind speed or of the effective wind at the wing's location. Moreover, the proposed approach features few parameters, whose effects on the system's behavior are very intuitive, hence simplifying tuning procedures. A simplified model of the steering dynamics of the wing is derived from first-principle laws, compared with experimental data and used for the control design. The control algorithm is divided into a low-level loop for the velocity angle and a high-level guidance strategy to achieve the desired flight patterns. The robustness of the inner loop is verified analytically, and the overall control system is tested experimentally on a small-scale prototype, with varying wind conditions and using different wings.","url":"https://arxiv.org/abs/1301.1064v2","authors":["Lorenzo Fagiano","Aldo U. Zgraggen","Manfred Morari","Mustafa Khammash"],"tags":["eess.SY","math.OC"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2013-01-06T22:12:56Z","addedAt":"2026-08-06T22:48:52.578Z"},{"id":"arxiv:1111.1498v1","name":"H_2-Optimal Decentralized Control over Posets: A State-Space Solution for State-Feedback","source":"arxiv","abstract":"We develop a complete state-space solution to H_2-optimal decentralized control of poset-causal systems with state-feedback. Our solution is based on the exploitation of a key separability property of the problem, that enables an efficient computation of the optimal controller by solving a small number of uncoupled standard Riccati equations. Our approach gives important insight into the structure of optimal controllers, such as controller degree bounds that depend on the structure of the poset. A novel element in our state-space characterization of the controller is a remarkable pair of transfer functions, that belong to the incidence algebra of the poset, are inverses of each other, and are intimately related to prediction of the state along the different paths on the poset. The results are illustrated by a numerical example.","url":"https://arxiv.org/abs/1111.1498v1","authors":["Parikshit Shah","Pablo A. Parrilo"],"tags":["math.OC","eess.SY"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2011-11-07T07:27:22Z","addedAt":"2026-08-06T22:48:52.578Z"},{"id":"arxiv:2103.03677v2","name":"Control Barrier Functions in Sampled-Data Systems","source":"arxiv","abstract":"This paper presents conditions for ensuring forward invariance of safe sets under sampled-data system dynamics with piecewise-constant controllers and fixed time-steps. First, we introduce two different metrics to compare the conservativeness of sufficient conditions on forward invariance under piecewise-constant controllers. Then, we propose three approaches for guaranteeing forward invariance, two motivated by continuous-time barrier functions, and one motivated by discrete-time barrier functions. All proposed conditions are control affine, and thus can be incorporated into quadratic programs for control synthesis. We show that the proposed conditions are less conservative than those in earlier studies, and show via simulation how this enables the use of barrier functions that are impossible to implement with the desired time-step using existing methods.","url":"https://arxiv.org/abs/2103.03677v2","authors":["Joseph Breeden","Kunal Garg","Dimitra Panagou"],"tags":["math.OC","eess.SY"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2021-03-05T13:56:19Z","addedAt":"2026-08-06T22:48:52.578Z"},{"id":"arxiv:2403.00447v3","name":"Continuous Approximations of Projected Dynamical Systems via Control Barrier Functions","source":"arxiv","abstract":"Projected Dynamical Systems (PDSs) form a class of discontinuous constrained dynamical systems, and have been used widely to solve optimization problems and variational inequalities. Recently, they have also gained significant attention for control purposes, such as high-performance integrators, saturated control and feedback optimization. In this work, we establish that locally Lipschitz continuous dynamics, involving Control Barrier Functions (CBFs), namely CBF-based dynamics, approximate PDSs. Specifically, we prove that trajectories of CBF-based dynamics uniformly converge to trajectories of PDSs, as a CBF-parameter approaches infinity. Towards this, we also prove that CBF-based dynamics are perturbations of PDSs, with quantitative bounds on the perturbation. Our results pave the way to implement discontinuous PDS-based controllers in a continuous fashion, employing CBFs. We demonstrate this on numerical examples on feedback optimization and synchronverter control. Moreover, our results can be employed to numerically simulate PDSs, overcoming disadvantages of existing discretization schemes, such as computing projections to possibly non-convex sets. Finally, this bridge between CBFs and PDSs may yield other potential benefits, including novel insights on stability.","url":"https://arxiv.org/abs/2403.00447v3","authors":["Giannis Delimpaltadakis","Jorge Cortés","W. P. M. H. Heemels"],"tags":["math.OC","eess.SY"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2024-03-01T11:06:58Z","addedAt":"2026-08-06T22:48:52.578Z"},{"id":"arxiv:1709.00759v2","name":"Boundary Control of a Nonhomogeneous Flexible Wing with Bounded Input Disturbances","source":"arxiv","abstract":"This note deals with the boundary control problem of a nonhomogeneous flexible wing evolving under unsteady aerodynamic loads. The wing is actuated at its tip by flaps and is modeled by a distributed parameter system consisting of two coupled partial differential equations. Based on the proposed boundary control law, the well-posedness of the underlying Cauchy problem is first investigated by resorting to the semigroup theory. Then, a Lyapunov-based approach is employed to assess the stability of the closed-loop system in the presence of bounded input disturbances.","url":"https://arxiv.org/abs/1709.00759v2","authors":["Hugo Lhachemi","David Saussié","Guchuan Zhu"],"tags":["math.OC","eess.SY"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2017-09-03T19:12:57Z","addedAt":"2026-08-06T22:48:52.578Z"},{"id":"arxiv:2504.15838v2","name":"Gaussian behaviors: representations and data-driven control","source":"arxiv","abstract":"We propose a modeling framework for stochastic systems, termed Gaussian behaviors, that describes finite-length trajectories of a system as a Gaussian process. The proposed model naturally quantifies the uncertainty in the trajectories, yet it is simple enough to allow for tractable formulations. We relate the proposed model to existing descriptions of dynamical systems including deterministic and stochastic behaviors, and linear time-invariant (LTI) state-space models with Gaussian noise. Gaussian behaviors can be estimated directly from observed data as the empirical sample covariance. The distribution of future outputs conditioned on inputs and past outputs provides a predictive model that can be incorporated in predictive control frameworks. We show that subspace predictive control is a certainty-equivalence control formulation with the estimated Gaussian behavior. Furthermore, the regularized data-enabled predictive control (DeePC) method is shown to be a distributionally optimistic formulation that optimistically accounts for uncertainty in the Gaussian behavior. To mitigate the excessive optimism of DeePC, we propose a novel distributionally robust control formulation, and provide a convex reformulation allowing for efficient implementation.","url":"https://arxiv.org/abs/2504.15838v2","authors":["András Sasfi","Ivan Markovsky","Alberto Padoan","Florian Dörfler"],"tags":["eess.SY","math.OC"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2025-04-22T12:31:10Z","addedAt":"2026-08-06T22:48:52.578Z"},{"id":"arxiv:2501.17614v1","name":"Coalitional control: a bottom-up approach","source":"arxiv","abstract":"The recent major developments in information technologies have opened interesting possibilities for the effective management of multi-agent systems. In many cases, the important role of central control nodes can now be undertaken by several controllers in a distributed topology that suits better the structure of the system. This opens as well the possibility to promote cooperation between control agents in competitive environments, establishing links between controllers in order to adapt the exchange of critical information to the degree of subsystems' interactions. In this paper a bottom-up approach to coalitional control is presented, where the structure of each agent's model predictive controller is adapted to the time-variant coupling conditions, promoting the formation of coalitions - clusters of control agents where communication is essential to ensure the cooperation - whenever it can bring benefit to the overall system performance.","url":"https://arxiv.org/abs/2501.17614v1","authors":["Filiberto Fele","José M. Maestre","Eduardo F. Camacho"],"tags":["eess.SY","cs.GT","math.OC"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2025-01-29T12:42:38Z","addedAt":"2026-08-06T22:48:52.578Z"},{"id":"arxiv:1905.11247v1","name":"Cold-Tip Temperature Control of Space-borne SatelliteStirlingCryocooler: Mathematical Modeling and Control Investigation","source":"arxiv","abstract":"IR (Infra-Red) detectors are widely used in Space-borne remote sensing satellites. In order to achieve a high signal to noise ratio, the IR detectors need to be operated at cryogenic temperatures. Traditionally, the cryogenic cooling of these detectors is achieved using passive cooling techniques. However recent trend is to employ Stirling-cycle based miniaturized active cryocoolers. An accurate and stringent control of active cryocooler cold-tip temperature is essential to accomplish high signal &amp; image quality from the IR detectors. This paper presents work on investigations and comparison of performance of proposed 2-DOF (2-Degrees-of-Freedom) versus traditional 1-DOF feedback-control structures for the control of cryocooler cold-tip temperature used in IR (Infra-Red) detectors of Space Satellites. Towards this, first-principle based control oriented mathematical model simulated in Matlab/Simulink is proposed to support such investigation and controller tuning. Open-loop (system) and closed-loop (controls) simulation results are tuned &amp; validated with the experimental data obtained from the Lab-scale test-setup of a commercial Stirlingcryocooler. The performance of 2-DOF feedback control structures are analyzed with the help of experiment results offering a better cold-tip temperature control performance.","url":"https://arxiv.org/abs/1905.11247v1","authors":["Shaival H. Nagarsheth","Jiten H. Bhatt","Jayesh J. Barve"],"tags":["math.OC","eess.SY"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2019-05-27T14:10:12Z","addedAt":"2026-08-06T22:48:52.578Z"},{"id":"arxiv:1507.01146v1","name":"Passivity-based PI control of first-order systems with I/O communication delays: A complete sigma-stability analysis","source":"arxiv","abstract":"The PI control of first-order linear passive systems through a delayed communication channel is revisited in light of the relative stability concept called sigma-stability. Treating the delayed communication channel as a transport PDE, the passivity of the overall control-loop is guaranteed, resulting in a closed-loop system of neutral nature. Spectral methods are then applied to the system to obtain a complete stability map. In particular, we perform the D-subdivision method to declare the exact sigma-stability regions in the space of PI parameters. This framework is then utilized to analytically determine the maximum achievable exponential decay rate of the system while achieving the PI tuning as an explicit function of the decay rate and the system parameters.","url":"https://arxiv.org/abs/1507.01146v1","authors":["Fernando Castaños","Edgar Estrada","Sabine Mondié","Adrián Ramírez"],"tags":["math.OC","eess.SY"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2015-07-04T21:28:00Z","addedAt":"2026-08-06T22:48:52.578Z"},{"id":"arxiv:2207.05146v2","name":"Safe Control for Nonlinear Systems Under Faults and Attacks Via Control Barrier Functions","source":"arxiv","abstract":"Safety is one of the most important properties of control systems. Sensor faults and attacks and actuator failures may cause errors in the sensor measurements and system dynamics, which leads to erroneous control inputs and hence safety violations. In this paper, we improve the robustness against sensor faults and actuator failures by proposing a class of Fault-Tolerant Control Barrier Functions (FT-CBFs) for nonlinear systems. Our approach maintains a set of state estimators according to fault patterns and incorporates CBF-based linear constraints for each state estimator. We then propose a framework for joint safety and stability by integrating FT-CBFs with Control Lyapunov Functions. With a similar philosophy of utilizing redundancy, we proposed High order CBF-based approach to ensure safety when actuator failures occur. We propose a sum-of-squares (SOS) based approach to verify the feasibility of FT-CBFs for both sensor faults and actuator failures. We evaluate our approach via two case studies, namely, a wheeled mobile robot (WMR) system in the presence of a sensor attack and a Boeing 747 lateral control system under actuator failures.","url":"https://arxiv.org/abs/2207.05146v2","authors":["Hongchao Zhang","Zhouchi Li","Andrew Clark"],"tags":["eess.SY"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2022-07-11T19:24:44Z","addedAt":"2026-08-06T22:48:52.578Z"},{"id":"arxiv:2204.01930v7","name":"Control Barrier Function Based Design of Gradient Flows for Constrained Nonlinear Programming","source":"arxiv","abstract":"This paper considers the problem of designing a continuous-time dynamical system that solves a constrained nonlinear optimization problem and makes the feasible set forward invariant and asymptotically stable. The invariance of the feasible set makes the dynamics anytime, when viewed as an algorithm, meaning it returns a feasible solution regardless of when it is terminated. Our approach augments the gradient flow of the objective function with inputs defined by the constraint functions, treats the feasible set as a safe set, and synthesizes a safe feedback controller using techniques from the theory of control barrier functions. The resulting closed-loop system, termed safe gradient flow, can be viewed as a primal-dual flow, where the state corresponds to the primal variables and the inputs correspond to the dual ones. We provide a detailed suite of conditions based on constraint qualification under which (both isolated and nonisolated) local minimizers are stable with respect to the feasible set and the whole state space. Comparisons with other continuous-time methods for optimization in a simple example illustrate the advantages of the safe gradient flow.","url":"https://arxiv.org/abs/2204.01930v7","authors":["Ahmed Allibhoy","Jorge Cortés"],"tags":["math.OC","eess.SY"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2022-04-05T01:42:45Z","addedAt":"2026-08-06T22:48:52.578Z"},{"id":"arxiv:2211.12700v2","name":"Tailored Presolve Techniques in Branch-and-Bound Method for Fast Mixed-Integer Optimal Control Applications","source":"arxiv","abstract":"Mixed-integer model predictive control (MI-MPC) can be a powerful tool for modeling hybrid control systems. In case of a linear-quadratic objective in combination with linear or piecewise-linear system dynamics and inequality constraints, MI-MPC needs to solve a mixed-integer quadratic program (MIQP) at each sampling time step. This paper presents a collection of block-sparse presolve techniques to efficiently remove decision variables, and to remove or tighten inequality constraints, tailored to mixed-integer optimal control problems (MIOCP). In addition, we describe a novel heuristic approach based on an iterative presolve algorithm to compute a feasible but possibly suboptimal MIQP solution. We present benchmarking results for a C code implementation of the proposed BB-ASIPM solver, including a branch-and-bound (B&amp;B) method with the proposed tailored presolve techniques and an active-set based interior point method (ASIPM), compared against multiple state-of-the-art MIQP solvers on a case study of motion planning with obstacle avoidance constraints. Finally, we demonstrate the computational performance of the BB-ASIPM solver on the dSPACE Scalexio real-time embedded hardware using a second case study of stabilization for an underactuated cart-pole with soft contacts.","url":"https://arxiv.org/abs/2211.12700v2","authors":["Rien Quirynen","Stefano Di Cairano"],"tags":["math.OC","eess.SY"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2022-11-23T04:41:04Z","addedAt":"2026-08-06T22:48:52.578Z"},{"id":"arxiv:1512.00375v2","name":"Sparse preconditioning for model predictive control","source":"arxiv","abstract":"We propose fast O(N) preconditioning, where N is the number of gridpoints on the prediction horizon, for iterative solution of (non)-linear systems appearing in model predictive control methods such as forward-difference Newton-Krylov methods. The Continuation/GMRES method for nonlinear model predictive control, suggested by T. Ohtsuka in 2004, is a specific application of the Newton-Krylov method, which uses the GMRES iterative algorithm to solve a forward difference approximation of the optimality equations on every time step.","url":"https://arxiv.org/abs/1512.00375v2","authors":["Andrew Knyazev","Alexander Malyshev"],"tags":["math.OC","eess.SY"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2015-12-01T18:24:56Z","addedAt":"2026-08-06T22:48:52.578Z"},{"id":"arxiv:1107.3174v1","name":"On the infeasibility of entanglement generation in Gaussian quantum systems via classical control","source":"arxiv","abstract":"This paper uses a system theoretic approach to show that classical linear time invariant controllers cannot generate steady state entanglement in a bipartite Gaussian quantum system which is initialized in a Gaussian state. The paper also shows that the use of classical linear controllers cannot generate entanglement in a finite time from a bipartite system initialized in a separable Gaussian state. The approach reveals connections between system theoretic concepts and the well known physical principle that local operations and classical communications cannot generate entangled states starting from separable states.","url":"https://arxiv.org/abs/1107.3174v1","authors":["H. I. Nurdin","I. R. Petersen","M. R. James"],"tags":["eess.SY","math.OC","quant-ph"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2011-07-15T22:38:41Z","addedAt":"2026-08-06T22:48:52.578Z"},{"id":"arxiv:2601.23160v1","name":"Robust Control of Constrained Linear Systems using Online Convex Optimization and a Reference Governor","source":"arxiv","abstract":"This article develops a control method for linear time-invariant systems subject to time-varying and a priori unknown cost functions, that satisfies state and input constraints, and is robust to exogenous disturbances. To this end, we combine the online convex optimization framework with a reference governor and a constraint tightening approach. The proposed framework guarantees recursive feasibility and robust constraint satisfaction. Its closed-loop performance is studied in terms of its dynamic regret, which is bounded linearly by the variation of the cost functions and the magnitude of the disturbances. The proposed method is illustrated by a numerical case study of a tracking control problem.","url":"https://arxiv.org/abs/2601.23160v1","authors":["Marko Nonhoff","Mohammad Taher Al Torshan","Matthias A. Müller"],"tags":["eess.SY","math.OC"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2026-01-30T16:44:06Z","addedAt":"2026-08-06T22:48:52.578Z"},{"id":"arxiv:2101.00649v1","name":"A scheduling algorithm for networked control systems","source":"arxiv","abstract":"This paper deals with the design of scheduling logics for Networked Control Systems (NCSs) whose shared communication networks have limited capacity. We assume that among \\(N\\) plants, only \\(M\\:(&lt; N)\\) plants can communicate with their controllers at any time instant. We present an algorithm to allocate the network to the plants periodically such that stability of each plant is preserved. The main apparatus for our analysis is a switched systems representation of the individual plants in an NCS. We rely on multiple Lyapunov-like functions and graph-theoretic arguments to design our scheduling logics. The set of results presented in this paper is a continuous-time counterpart of the results proposed in [15]. We present a set of numerical experiments to demonstrate the performance of our techniques.","url":"https://arxiv.org/abs/2101.00649v1","authors":["Atreyee Kundu"],"tags":["eess.SY"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2021-01-03T16:01:07Z","addedAt":"2026-08-06T22:48:52.578Z"},{"id":"arxiv:1211.5494v1","name":"Optimal design of PID controllers using the QFT method","source":"arxiv","abstract":"An optimisation algorithm is proposed for designing PID controllers, which minimises the asymptotic open-loop gain of a system, subject to appropriate robust- stability and performance QFT constraints. The algorithm is simple and can be used to automate the loop-shaping step of the QFT design procedure. The effectiveness of the method is illustrated with an example.","url":"https://arxiv.org/abs/1211.5494v1","authors":["A. C. Zolotas","G. D. Halikias"],"tags":["eess.SY","math.OC"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2012-11-23T13:09:05Z","addedAt":"2026-08-06T22:48:52.578Z"},{"id":"arxiv:2304.04486v2","name":"Control of bilinear systems using gain-scheduling: Stability and performance guarantees","source":"arxiv","abstract":"In this paper, we present a state-feedback controller design method for bilinear systems. To this end, we write the bilinear system as a linear fractional representation by interpreting the state in the bilinearity as a structured uncertainty. Based on that, we derive convex conditions in terms of linear matrix inequalities for the controller design, which are efficiently solvable by semidefinite programming. Further, we prove asymptotic stability and quadratic performance of the resulting closed-loop system locally in a predefined region. The proposed design uses gain-scheduling techniques and results in a state feedback with rational dependence on the state, which can substantially reduce conservatism and improve performance in comparison to a simpler, linear state feedback. Moreover, the design method is easily adaptable to various scenarios due to its modular formulation in the robust control framework. Finally, we apply the developed approaches to numerical examples and illustrate the benefits of the approach.","url":"https://arxiv.org/abs/2304.04486v2","authors":["Robin Strässer","Julian Berberich","Frank Allgöwer"],"tags":["eess.SY","math.OC"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2023-04-10T09:50:56Z","addedAt":"2026-08-06T22:48:52.578Z"},{"id":"arxiv:1403.5204v3","name":"Adaptive Control of Robot Manipulators With Uncertain Kinematics and Dynamics","source":"arxiv","abstract":"In this paper, we investigate the adaptive control problem for robot manipulators with both the uncertain kinematics and dynamics. We propose two adaptive control schemes to realize the objective of task-space trajectory tracking irrespective of the uncertain kinematics and dynamics. The proposed controllers have the desirable separation property, and we also show that the first adaptive controller with appropriate modifications can yield improved performance, without the expense of conservative gain choice. The performance of the proposed controllers is shown by numerical simulations.","url":"https://arxiv.org/abs/1403.5204v3","authors":["Hanlei Wang"],"tags":["eess.SY","cs.RO","math.OC"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2014-03-20T17:13:31Z","addedAt":"2026-08-06T22:48:52.578Z"},{"id":"arxiv:2005.11308v4","name":"An online convex optimization algorithm for controlling linear systems with state and input constraints","source":"arxiv","abstract":"This paper studies the problem of controlling linear dynamical systems subject to point-wise-in-time constraints. We present an algorithm similar to online gradient descent, that can handle time-varying and a priori unknown convex cost functions while restraining the system states and inputs to polytopic constraint sets. Analysis of the algorithm's performance, measured by dynamic regret, reveals that sublinear regret is achieved if the variation of the cost functions is sublinear in time. Finally, we present a simple example to illustrate implementation details as well as the algorithm's performance and show that the proposed algorithm ensures constraint satisfaction.","url":"https://arxiv.org/abs/2005.11308v4","authors":["Marko Nonhoff","Matthias A. Müller"],"tags":["math.OC"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2020-05-22T17:53:56Z","addedAt":"2026-08-06T22:48:52.578Z"},{"id":"arxiv:2004.00417v2","name":"Distributed Nonlinear Model Predictive Control and Metric Learning for Heterogeneous Vehicle Platooning with Cut-in/Cut-out Maneuvers","source":"arxiv","abstract":"Vehicle platooning has been shown to be quite fruitful in the transportation industry to enhance fuel economy, road throughput, and driving comfort. Model Predictive Control (MPC) is widely used in literature for platoon control to achieve certain objectives, such as safely reducing the distance among consecutive vehicles while following the leader vehicle. In this paper, we propose a Distributed Nonlinear MPC (DNMPC), based upon an existing approach, to control a heterogeneous dynamic platoon with unidirectional topologies, handling possible cut-in/cut-out maneuvers. The introduced method addresses a collision-free driving experience while tracking the desired speed profile and maintaining a safe desired gap among the vehicles. The time of convergence in the dynamic platooning is derived based on the time of cut-in and/or cut-out maneuvers. In addition, we analyze the improvement level of driving comfort, fuel economy, and absolute and relative convergence of the method by using distributed metric learning and distributed optimization with Alternating Direction Method of Multipliers (ADMM). Simulation results on a dynamic platoon with cut-in and cut-out maneuvers and with different unidirectional topologies show the effectiveness of the introduced method.","url":"https://arxiv.org/abs/2004.00417v2","authors":["Mohammad Hossein Basiri","Benyamin Ghojogh","Nasser L. Azad","Sebastian Fischmeister","Fakhri Karray","Mark Crowley"],"tags":["math.OC","eess.SY"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2020-04-01T13:11:08Z","addedAt":"2026-08-06T22:48:52.578Z"},{"id":"arxiv:2208.09687v3","name":"Distributed Optimal Secondary Frequency Control in Power Networks with Delay Independent Stability","source":"arxiv","abstract":"Distributed secondary frequency control for power systems, is a problem that has been extensively studied in the literature, and one of its key features is that an additional communication network is required to achieve optimal power allocation. Therefore, being able to provide stability guarantees in the presence of communication delays is an important requirement. Primal-dual and distributed averaging proportional-integral (DAPI) protocols, respectively, are two main control schemes that have been proposed in the literature. Each has its own relative merits, with the former allowing to incorporate general cost functions and additional operational constraints, and the latter being more straightforward in its implementation. Although delays have been addressed in DAPI schemes, there are currently no theoretical guarantees for the stability of primal-dual schemes for frequency control, when these are subject to communication delays. In fact, simulations illustrate that even small delays can destabilize such schemes. In this paper, we show how a novel formulation of prima-dual schemes allows to construct a distributed algorithm with delay independent stability guarantees. We also show that this algorithm can incorporate many of the key features of these schemes such as tie-line power flow requirements, generation constraints, and the relaxation of demand measurements with an observer layer. Finally, we illustrate our results through simulations on a 5-bus example and on the IEEE-39 test system.","url":"https://arxiv.org/abs/2208.09687v3","authors":["Mengmou Li","Jeremy Watson","Ioannis Lestas"],"tags":["math.OC"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2022-08-20T14:14:18Z","addedAt":"2026-08-06T22:48:52.578Z"},{"id":"arxiv:1906.07000v2","name":"Flight Control for UAV Loitering Over a Ground Target with Unknown Maneuver","source":"arxiv","abstract":"This paper proposes a flight controller for an unmanned aerial vehicle (UAV) to loiter over a ground moving target (GMT). We are concerned with the scenario that the stochastically time-varying maneuver of the GMT is unknown to the UAV, which renders it challenging to estimate the GMT's motion state. Assuming that the state of the GMT is available, we first design a discrete-time Lyapunov vector field for the loitering guidance and then design a discrete-time integral sliding mode control (ISMC) to track the guidance commands. By modeling the maneuver process as a finite-state Markov chain, we propose a Rao-Blackwellised particle filter (RBPF), which only requires a few number of particles, to simultaneously estimate the motion state and the maneuver of the GMT with a camera or radar sensor. Then, we apply the principle of certainty equivalence to the ISMC and obtain the flight controller for completing the loitering task. Finally, the effectiveness and advantages of our controller are validated via simulations.","url":"https://arxiv.org/abs/1906.07000v2","authors":["Fei Dong","Keyou You","Jiaqi Zhang"],"tags":["eess.SY"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2019-06-17T12:46:06Z","addedAt":"2026-08-06T22:48:52.578Z"},{"id":"arxiv:2604.27378v1","name":"Continuous-time q-learning for mean-field control with common noise, part-II: q-learning algorithms","source":"arxiv","abstract":"This paper is a continuation work of Ren et al. (2026) aiming to further devise q-learning algorithms for mean-field control (MFC) with controlled common noise. Based on the relaxed control formulation, we first establish the martingale condition of the value function and the Iq-function by evaluating along the conditional state distributions generated by all test policies. As the data in the relaxed control formulation are not observable in practice, we quantify the error incurred when they are replaced by the observable ones in the exploratory formulation under discretely sampled actions. This, together with a two-layer fixed point characterization of an optimal policy in Ren et al. (2026), allows us to propose several algorithms including the Actor-Critic q-learning algorithm, in which the policy is updated in the Actor-step based on the iteration rule induced by the improved Iq-function, and the value function and Iq-function are updated in the Critic-step based on the martingale orthogonality condition using the data from the exploratory formulation. We also establish the convergence of the inner iterations in the Actor-step in an infinite-horizon linear quadratic (LQ) framework. In two examples, within and beyond LQ framework, our q-learning algorithms are implemented with satisfactory performance.","url":"https://arxiv.org/abs/2604.27378v1","authors":["Zhenjie Ren","Xiaoli Wei","Xiang Yu","Xun Yu Zhou"],"tags":["math.OC","cs.LG","cs.MA"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2026-04-30T03:41:00Z","addedAt":"2026-08-06T22:48:52.578Z"},{"id":"arxiv:2005.05245v2","name":"Periodic optimal control of nonlinear constrained systems using economic model predictive control","source":"arxiv","abstract":"In this paper, we consider the problem of periodic optimal control of nonlinear systems subject to online changing and periodically time-varying economic performance measures using model predictive control (MPC). The proposed economic MPC scheme uses an online optimized artificial periodic orbit to ensure recursive feasibility and constraint satisfaction despite unpredictable changes in the economic performance index. We demonstrate that the direct extension of existing methods to periodic orbits does not necessarily yield the desirable closed-loop economic performance. Instead, we carefully revise the constraints on the artificial trajectory, which ensures that the closed-loop average performance is no worse than a locally optimal periodic orbit. In the special case that the prediction horizon is set to zero, the proposed scheme is a modified version of recent publications using periodicity constraints, with the important difference that the resulting closed loop has more degrees of freedom which are vital to ensure convergence to an optimal periodic orbit. In addition, we detail a tailored offline computation of suitable terminal ingredients, which are both theoretically and practically beneficial for closed-loop performance improvement. Finally, we demonstrate the practicality and performance improvements of the proposed approach on benchmark examples.","url":"https://arxiv.org/abs/2005.05245v2","authors":["Johannes Köhler","Matthias A. Müller","Frank Allgöwer"],"tags":["eess.SY","math.OC"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2020-05-11T16:37:47Z","addedAt":"2026-08-06T22:48:52.578Z"},{"id":"arxiv:1703.07025v2","name":"Predictive Control of Autonomous Kites in Tow Test Experiments","source":"arxiv","abstract":"In this paper we present a model-based control approach for autonomous flight of kites for wind power generation. Predictive models are considered to compensate for delay in the kite dynamics. We apply Model Predictive Control (MPC), with the objective of guiding the kite to follow a figure-of-eight trajectory, in the outer loop of a two level control cascade. The tracking capabilities of the inner-loop controller depend on the operating conditions and are assessed via a frequency domain robustness analysis. We take the limitations of the inner tracking controller into account by encoding them as optimisation constraints in the outer MPC. The method is validated on a kite system in tow test experiments.","url":"https://arxiv.org/abs/1703.07025v2","authors":["Tony A. Wood","Henrik Hesse","Roy S. Smith"],"tags":["math.OC"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2017-03-21T02:03:26Z","addedAt":"2026-08-06T22:48:52.578Z"},{"id":"arxiv:2404.00036v4","name":"A Hybrid Algorithm for Iterative Adaptation of Feedforward Controllers: an Application on Electromechanical Switches","source":"arxiv","abstract":"Electromechanical switching devices such as relays, solenoid valves, and contactors offer several technical and economic advantages that make them widely used in industry. However, uncontrolled operations result in undesirable impact-related phenomena at the end of the stroke. As a solution, different soft-landing controls have been proposed. Among them, feedforward control with iterative techniques that adapt its parameters is a solution when real-time feedback is not available. However, these techniques typically require a large number of operations to converge or are computationally intensive, which limits a real implementation. In this paper, we present a new algorithm for the iterative adaptation that is able to eventually adapt the search coordinate system and to reduce the search dimensional size in order to accelerate convergence. Moreover, it automatically toggles between a derivative-free and a gradient-based method to balance exploration and exploitation. To demonstrate the high potential of the proposal, each novel part of the algorithm is compared with a state-of-the-art approach via simulation.","url":"https://arxiv.org/abs/2404.00036v4","authors":["Eloy Serrano-Seco","Eduardo Moya-Lasheras","Edgar Ramirez-Laboreo"],"tags":["eess.SY"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2024-03-23T15:56:56Z","addedAt":"2026-08-06T22:48:52.578Z"},{"id":"arxiv:1903.05508v2","name":"Efficient Implementation of Rate Constraints for Nonlinear Optimal Control","source":"arxiv","abstract":"We propose a general approach to directly implement rate constraints on the discretization mesh for all collocation methods, for both state and input variables. Unlike conventional approaches that may lead to singular control arcs, the solution of this on-mesh implementation has better properties. Moreover, computational speedups of more than 30% can be achieved by exploiting the properties of the resulting linear constraint equations.","url":"https://arxiv.org/abs/1903.05508v2","authors":["Yuanbo Nie","Eric Kerrigan"],"tags":["math.OC","eess.SY"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2019-03-13T14:23:04Z","addedAt":"2026-08-06T22:48:52.578Z"},{"id":"arxiv:1809.04917v1","name":"Algorithms for Optimal Control with Fixed-Rate Feedback","source":"arxiv","abstract":"We consider a discrete-time linear quadratic Gaussian networked control setting where the (full information) observer and controller are separated by a fixed-rate noiseless channel. The minimal rate required to stabilize such a system has been well studied. However, for a given fixed rate, how to quantize the states so as to optimize performance is an open question of great theoretical and practical significance. We concentrate on minimizing the control cost for first-order scalar systems. To that end, we use the Lloyd-Max algorithm and leverage properties of logarithmically-concave functions and sequential Bayesian filtering to construct the optimal quantizer that greedily minimizes the cost at every time instant. By connecting the globally optimal scheme to the problem of scalar successive refinement, we argue that its gain over the proposed greedy algorithm is negligible. This is significant since the globally optimal scheme is often computationally intractable. All the results are proven for the more general case of disturbances with logarithmically-concave distributions and rate-limited time-varying noiseless channels. We further extend the framework to event-triggered control by allowing to convey information via an additional \"silent symbol\", i.e., by avoiding transmitting bits; by constraining the minimal probability of silence we attain a tradeoff between the transmission rate and the control cost for rates below one bit per sample.","url":"https://arxiv.org/abs/1809.04917v1","authors":["Anatoly Khina","Yorie Nakahira","Yu Su","Hikmet Yıldız","Babak Hassibi"],"tags":["eess.SY","cs.IT","math.OC"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2018-09-13T12:43:39Z","addedAt":"2026-08-06T22:48:52.578Z"},{"id":"arxiv:2102.07191v2","name":"Data-Driven Retrospective Cost Adaptive Control for Flight Control Application","source":"arxiv","abstract":"Unlike fixed-gain robust control, which trades off performance with modeling uncertainty, direct adaptive control uses partial modeling information for online tuning. The present paper combines retrospective cost adaptive control (RCAC), a direct adaptive control technique for sampled-data systems, with online system identification based on recursive least squares (RLS) with variable-rate forgetting (VRF). The combination of RCAC and RLS-VRF constitutes data-driven RCAC (DDRCAC), where the online system identification is used to construct the target model, which defines the retrospective performance variable. This paper investigates the ability of RLS-VRF to provide the modeling information needed for the target model, especially nonminimum-phase (NMP) zeros. DDRCAC is applied to single-input, single-output (SISO) and multiple-input, multiple-output (MIMO) numerical examples with unknown NMP zeros, as well as several flight control problems, namely, unknown transition from minimum-phase to NMP lateral dynamics, flexible modes, flutter, and nonlinear planar missile dynamics.","url":"https://arxiv.org/abs/2102.07191v2","authors":["Syed Aseem Ul Islam","Tam W. Nguyen","Ilya V. Kolmanovsky","Dennis S. Bernstein"],"tags":["eess.SY"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2021-02-14T16:39:03Z","addedAt":"2026-08-06T22:48:52.578Z"},{"id":"arxiv:2504.16975v1","name":"The Flight Physics Concept Inventory: Development of a research-based assessment instrument to enhance learning and teaching","source":"arxiv","abstract":"This work frames the first three publications around the development of the Flight Physics Concept Inventory (FliP-CoIn), and elaborates on many aspects in more detail. FliP-CoIn is a multiple-choice conceptual assessment instrument for improving fluid dynamics learning and teaching. I give insights into why and how FliP-CoIn was developed and how it is best used for improving conceptual learning. Further, this work presents evidence for several dimensions of FliP-CoIn's validity and reliability. Finally, I discuss key insights from the development process, the data analysis, and give recommendations for future research. This is a pre print version of the following book: Florian Genz, The Flight Physics Concept Inventory, 2025, Springer Spektrum, published with permission of Springer Fachmedien Wiesbaden GmbH. The final authenticated version is available online at: http://doi.org/10.1007/978-3-658-47515-4 and https://link.springer.com/book/9783658475147","url":"https://arxiv.org/abs/2504.16975v1","authors":["Florian Genz"],"tags":["physics.ed-ph","physics.data-an","physics.flu-dyn"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2025-04-23T17:21:25Z","addedAt":"2026-08-06T22:48:52.578Z"},{"id":"arxiv:2406.02709v1","name":"Constructive Safety-Critical Control: Synthesizing Control Barrier Functions for Partially Feedback Linearizable Systems","source":"arxiv","abstract":"Certifying the safety of nonlinear systems, through the lens of set invariance and control barrier functions (CBFs), offers a powerful method for controller synthesis, provided a CBF can be constructed. This paper draws connections between partial feedback linearization and CBF synthesis. We illustrate that when a control affine system is input-output linearizable with respect to a smooth output function, then, under mild regularity conditions, one may extend any safety constraint defined on the output to a CBF for the full-order dynamics. These more general results are specialized to robotic systems where the conditions required to synthesize CBFs simplify. The CBFs constructed from our approach are applied and verified in simulation and hardware experiments on a quadrotor.","url":"https://arxiv.org/abs/2406.02709v1","authors":["Max H. Cohen","Ryan K. Cosner","Aaron D. Ames"],"tags":["eess.SY","cs.RO"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2024-06-04T18:52:24Z","addedAt":"2026-08-06T22:48:52.578Z"},{"id":"arxiv:1910.03162v1","name":"A Physics-Based Attack Detection Technique in Cyber-Physical Systems: A Model Predictive Control Co-Design Approach","source":"arxiv","abstract":"In this paper a novel approach to co-design controller and attack detector for nonlinear cyber-physical systems affected by false data injection (FDI) attack is proposed. We augment the model predictive controller with an additional constraint requiring the future---in some steps ahead---trajectory of the system to remain in some time-invariant neighborhood of a properly designed reference trajectory. At any sampling time, we compare the real-time trajectory of the system with the designed reference trajectory, and construct a residual. The residual is then used in a nonparametric cumulative sum (CUSUM) anomaly detector to uncover FDI attacks on input and measurement channels. The effectiveness of the proposed approach is tested with a nonlinear model regarding level control of coupled tanks.","url":"https://arxiv.org/abs/1910.03162v1","authors":["Mohammadreza Chamanbaz","Fabrizio Dabbene","Roland Bouffanais"],"tags":["eess.SY","math.OC"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2019-10-08T01:42:13Z","addedAt":"2026-08-06T22:48:52.578Z"},{"id":"arxiv:2011.04757v2","name":"A Neural Network Approach Applied to Multi-Agent Optimal Control","source":"arxiv","abstract":"We propose a neural network approach for solving high-dimensional optimal control problems. In particular, we focus on multi-agent control problems with obstacle and collision avoidance. These problems immediately become high-dimensional, even for moderate phase-space dimensions per agent. Our approach fuses the Pontryagin Maximum Principle and Hamilton-Jacobi-Bellman (HJB) approaches and parameterizes the value function with a neural network. Our approach yields controls in a feedback form for quick calculation and robustness to moderate disturbances to the system. We train our model using the objective function and optimality conditions of the control problem. Therefore, our training algorithm neither involves a data generation phase nor solutions from another algorithm. Our model uses empirically effective HJB penalizers for efficient training. By training on a distribution of initial states, we ensure the controls' optimality is achieved on a large portion of the state-space. Our approach is grid-free and scales efficiently to dimensions where grids become impractical or infeasible. We demonstrate our approach's effectiveness on a 150-dimensional multi-agent problem with obstacles.","url":"https://arxiv.org/abs/2011.04757v2","authors":["Derek Onken","Levon Nurbekyan","Xingjian Li","Samy Wu Fung","Stanley Osher","Lars Ruthotto"],"tags":["math.OC"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2020-11-09T20:59:30Z","addedAt":"2026-08-06T22:48:52.578Z"},{"id":"arxiv:2301.04943v3","name":"Robust Nonlinear Optimal Control via System Level Synthesis","source":"arxiv","abstract":"This paper addresses the problem of finite horizon constrained robust optimal control for nonlinear systems subject to norm-bounded disturbances. To this end, the underlying uncertain nonlinear system is decomposed based on a first-order Taylor series expansion into a nominal system and an error (deviation) described as an uncertain linear time-varying system. This decomposition allows us to leverage system level synthesis to jointly optimize an affine error feedback, a nominal nonlinear trajectory, and, most importantly, a dynamic linearization error over-bound used to ensure robust constraint satisfaction for the nonlinear system. The proposed approach thereby results in less conservative planning compared with state-of-the-art techniques. We demonstrate the benefits of the proposed approach to control the rotational motion of a rigid body subject to state and input constraints.","url":"https://arxiv.org/abs/2301.04943v3","authors":["Antoine P. Leeman","Johannes Köhler","Andrea Zanelli","Samir Bennani","Melanie N. Zeilinger"],"tags":["math.OC","eess.SY"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2023-01-12T11:31:07Z","addedAt":"2026-08-06T22:48:52.578Z"},{"id":"arxiv:1109.1214v2","name":"A distributed optimization-based approach for hierarchical model predictive control of large-scale systems with coupled dynamics and constraints","source":"arxiv","abstract":"We present a hierarchical model predictive control approach for large-scale systems based on dual decomposition. The proposed scheme allows coupling in both dynamics and constraints between the subsystems and generates a primal feasible solution within a finite number of iterations, using primal averaging and a constraint tightening approach. The primal update is performed in a distributed way and does not require exact solutions, while the dual problem uses an approximate subgradient method. Stability of the scheme is established using bounded suboptimality.","url":"https://arxiv.org/abs/1109.1214v2","authors":["Minh Dang Doan","Tamás Keviczky","Bart De Schutter"],"tags":["math.OC","cs.MA","eess.SY"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2011-09-06T15:42:16Z","addedAt":"2026-08-06T22:48:52.578Z"},{"id":"arxiv:2407.09305v2","name":"Equilibrium Selection in Replicator Equations Using Adaptive-Gain Control","source":"arxiv","abstract":"In this paper, we deal with the equilibrium selection problem, which amounts to steering a population of individuals engaged in strategic game-theoretic interactions to a desired collective behavior. In the literature, this problem has been typically tackled by means of open-loop strategies, whose applicability is however limited by the need of accurate a priori information on the game and scarce robustness to uncertainty and noise. Here, we overcome these limitations by adopting a closed-loop approach using an adaptive-gain control scheme within a replicator equation -a nonlinear ordinary differential equation that models the evolution of the collective behavior of the population. For most classes of 2-action matrix games we establish sufficient conditions to design a controller that guarantees convergence of the replicator equation to the desired equilibrium, requiring limited a-priori information on the game. Numerical simulations corroborate and expand our theoretical findings.","url":"https://arxiv.org/abs/2407.09305v2","authors":["Lorenzo Zino","Mengbin Ye","Giuseppe Carlo Calafiore","Alessandro Rizzo"],"tags":["eess.SY","math.DS","math.OC"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2024-07-12T14:40:03Z","addedAt":"2026-08-06T22:48:52.578Z"},{"id":"arxiv:1503.03715v3","name":"Feedback Refinement Relations for the Synthesis of Symbolic Controllers","source":"arxiv","abstract":"We present an abstraction and refinement methodology for the automated controller synthesis to enforce general predefined specifications. The designed controllers require quantized (or symbolic) state information only and can be interfaced with the system via a static quantizer. Both features are particularly important with regard to any practical implementation of the designed controllers and, as we prove, are characterized by the existence of a feedback refinement relation between plant and abstraction. Feedback refinement relations are a novel concept introduced in this paper. Our work builds on a general notion of system with set-valued dynamics and possibly non-deterministic quantizers to permit the synthesis of controllers that robustly, and provably, enforce the specification in the presence of various types of uncertainties and disturbances. We identify a class of abstractions that is canonical in a well-defined sense, and provide a method to efficiently compute canonical abstractions. We demonstrate the practicality of our approach on two examples.","url":"https://arxiv.org/abs/1503.03715v3","authors":["Gunther Reissig","Alexander Weber","Matthias Rungger"],"tags":["math.OC","cs.LO","eess.SY"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2015-03-12T13:45:10Z","addedAt":"2026-08-06T22:48:52.578Z"},{"id":"arxiv:2203.01073v2","name":"Recursively feasible stochastic predictive control using an interpolating initial state constraint -- extended version","source":"arxiv","abstract":"We present a stochastic model predictive control (SMPC) framework for linear systems subject to possibly unbounded disturbances. State of the art SMPC approaches with closed-loop chance constraint satisfaction recursively initialize the nominal state based on the previously predicted nominal state or possibly the measured state under some case distinction. We improve these initialization strategies by allowing for a continuous optimization over the nominal initial state in an interpolation of these two extremes. The resulting SMPC scheme can be implemented as one standard quadratic program and is more flexible compared to state-of-the-art initialization strategies. As the main technical contribution, we show that the proposed SMPC framework also ensures closed-loop satisfaction of chance constraints and suitable performance bounds.","url":"https://arxiv.org/abs/2203.01073v2","authors":["Johannes Köhler","Melanie N. Zeilinger"],"tags":["eess.SY","math.OC"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2022-03-02T12:54:39Z","addedAt":"2026-08-06T22:48:52.578Z"},{"id":"arxiv:2306.07107v4","name":"A novel trajectory optimization algorithm for continuous-time model predictive control","source":"arxiv","abstract":"This article introduces a numerical algorithm that serves as a preliminary step toward solving continuous-time model predictive control (MPC) problems directly without explicit time-discretization. The chief ingredients of the underlying optimal control problem (OCP) are a linear time-invariant system, quadratic instantaneous and terminal cost functions, and convex path constraints. The thrust of the method involves finitely parameterizing the admissible space of control trajectories and solving the OCP satisfying the given constraints at every time instant in a tractable manner without explicit time-discretization. The ensuing OCP turns out to be a convex semi-infinite program (SIP), and some recently developed results are employed to obtain an optimal solution to this convex SIP. Numerical illustrations on some benchmark models are included to show the efficacy of the algorithm.","url":"https://arxiv.org/abs/2306.07107v4","authors":["Souvik Das","Siddhartha Ganguly","Muthyala Anjali","Debasish Chatterjee"],"tags":["math.OC","eess.SY"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2023-06-12T13:34:42Z","addedAt":"2026-08-06T22:48:52.578Z"},{"id":"arxiv:2503.19994v1","name":"Control Barrier Functions for Shared Control and Vehicle Safety","source":"arxiv","abstract":"This manuscript presents a control barrier function based approach to shared control for preventing a vehicle from entering the part of the state space where it is unrecoverable. The maximal phase recoverable ellipse is presented as a safe set in the sideslip angle--yaw rate phase plane where the vehicle's state can be maintained. An exponential control barrier function is then defined on the maximal phase recoverable ellipse to promote safety. Simulations demonstrate that this approach enables safe drifting, that is, driving at the handling limit without spinning out. Results are then validated for shared control drifting with an experimental vehicle in a closed course. The results show the ability of this shared control formulation to maintain the vehicle's state within a safe domain in a computationally efficient manner, even in extreme drifting maneuvers.","url":"https://arxiv.org/abs/2503.19994v1","authors":["James Dallas","John Talbot","Makoto Suminaka","Michael Thompson","Thomas Lew","Gabor Orosz","John Subosits"],"tags":["eess.SY"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2025-03-25T18:23:56Z","addedAt":"2026-08-06T22:48:52.578Z"},{"id":"arxiv:2511.03002v3","name":"Robust reduced-order model predictive control using peak-to-peak analysis of filtered signals","source":"arxiv","abstract":"We address the design of a model predictive control (MPC) scheme for large-scale linear systems using reduced-order models (ROMs). Our approach uses a ROM, leverages tools from robust control, and integrates them into an MPC framework to achieve computational tractability with robust constraint satisfaction. Our key contribution is a method to obtain guaranteed bounds on the predicted outputs of the full-order system by predicting a (scalar) error-bounding system alongside the ROM. This bound is then used to formulate a robust ROM-based MPC that guarantees constraint satisfaction and robust performance. Our method is developed step-by-step by (i) analysing the error, (ii) bounding the peak-to-peak gain, an (iii) using filtered signals. We demonstrate our method on a 100-dimensional mass-spring-damper system, achieving over four orders of magnitude reduction in conservatism relative to existing approaches.","url":"https://arxiv.org/abs/2511.03002v3","authors":["Johannes Köhler","Carlo Scholz","Melanie Zeilinger"],"tags":["eess.SY","math.OC"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2025-11-04T21:14:54Z","addedAt":"2026-08-06T22:48:52.578Z"},{"id":"arxiv:2006.04361v3","name":"Neural Contraction Metrics for Robust Estimation and Control: A Convex Optimization Approach","source":"arxiv","abstract":"This paper presents a new deep learning-based framework for robust nonlinear estimation and control using the concept of a Neural Contraction Metric (NCM). The NCM uses a deep long short-term memory recurrent neural network for a global approximation of an optimal contraction metric, the existence of which is a necessary and sufficient condition for exponential stability of nonlinear systems. The optimality stems from the fact that the contraction metrics sampled offline are the solutions of a convex optimization problem to minimize an upper bound of the steady-state Euclidean distance between perturbed and unperturbed system trajectories. We demonstrate how to exploit NCMs to design an online optimal estimator and controller for nonlinear systems with bounded disturbances utilizing their duality. The performance of our framework is illustrated through Lorenz oscillator state estimation and spacecraft optimal motion planning problems.","url":"https://arxiv.org/abs/2006.04361v3","authors":["Hiroyasu Tsukamoto","Soon-Jo Chung"],"tags":["eess.SY","cs.AI","cs.LG","cs.RO","math.OC"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2020-06-08T05:29:38Z","addedAt":"2026-08-06T22:48:52.578Z"},{"id":"arxiv:0402437v1","name":"Mechanical control systems on Lie algebroids","source":"arxiv","abstract":"This paper considers control systems defined on Lie algebroids. After deriving basic controllability tests for general control systems, we specialize our discussion to the class of mechanical control systems on Lie algebroids. This class of systems includes mechanical systems subject to holonomic and nonholonomic constraints, mechanical systems with symmetry and mechanical systems evolving on semidirect products. We introduce the notions of linear connection, symmetric product and geodesically invariant subbundle on a Lie algebroid. We present appropriate tests for various notions of accessibility and controllability, and analyze the relation between the controllability properties of control systems related by a morphism of Lie algebroids.","url":"https://arxiv.org/abs/math/0402437v1","authors":["Jorge Cortes","Eduardo Martinez"],"tags":["math.OC","math.DG"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2004-02-26T17:00:59Z","addedAt":"2026-08-06T22:48:52.578Z"},{"id":"arxiv:2205.08613v1","name":"Fast and accurate method for computing non-smooth solutions to constrained control problems","source":"arxiv","abstract":"Introducing flexibility in the time-discretisation mesh can improve convergence and computational time when solving differential equations numerically, particularly when the solutions are discontinuous, as commonly found in control problems with constraints. State-of-the-art methods use fixed mesh schemes, which cannot achieve superlinear convergence in the presence of non-smooth solutions. In this paper, we propose using a flexible mesh in an integrated residual method. The locations of the mesh nodes are introduced as decision variables, and constraints are added to set upper and lower bounds on the size of the mesh intervals. We compare our approach to a uniform fixed mesh on a real-world satellite reorientation example. This example demonstrates that the flexible mesh enables the solver to automatically locate the discontinuities in the solution, has superlinear convergence and faster solve times, while achieving the same accuracy as a fixed mesh.","url":"https://arxiv.org/abs/2205.08613v1","authors":["Lucian Nita","Eduardo M. G. Vila","Marta A. Zagorowska","Eric C. Kerrigan","Yuanbo Nie","Ian McInerney","Paola Falugi"],"tags":["math.OC","eess.SY"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2022-05-17T20:12:31Z","addedAt":"2026-08-06T22:48:52.578Z"},{"id":"arxiv:2506.23302v1","name":"Load Limiting Control for Component Life Extension","source":"arxiv","abstract":"This paper presents the development of a novel life-extending control scheme for critical helicopter components subjected to significant fatigue loading. The primary objective is to synthesize a more efficient and less conservative life-extending control scheme than those currently available in the literature. The proposed Load Limiting Control (LLC) scheme is a viable solution that addresses several issues that current life-extending control schemes suffer from, such as the neglect of fatigue damage induced by the harmonic component of loads and the inability to distinguish between aggressive and non-aggressive maneuvers. The proposed LLC scheme treats desired harmonic load limits as limit boundaries and recasts the problem of load limiting as a vehicle limit by computing a Control Margin (CM) using a limit detection and avoidance module. The computed CM is used as a cue to the pilot. The limit detection and avoidance module comprises an optimization algorithm, a model predictive controller, and a computationally simple on-board dynamical model. Simulations were conducted to demonstrate the effectiveness of the LLC scheme in limiting harmonic pitch link loads during flight. One significant outcome is that, with sufficient training, the pilot can skillfully track the cue within 0.5 seconds of initiating the tracking task.","url":"https://arxiv.org/abs/2506.23302v1","authors":["Chams Eddine Mballo","Robert Walters","Jonnalagadda V. R. Prasad"],"tags":["eess.SY"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2025-06-29T15:45:06Z","addedAt":"2026-08-06T22:48:52.578Z"},{"id":"arxiv:1712.08226v3","name":"A Primal-Dual Method for Optimal Control and Trajectory Generation in High-Dimensional Systems","source":"arxiv","abstract":"Presented is a method for efficient computation of the Hamilton-Jacobi (HJ) equation for time-optimal control problems using the generalized Hopf formula. Typically, numerical methods to solve the HJ equation rely on a discrete grid of the solution space and exhibit exponential scaling with dimension. The generalized Hopf formula avoids the use of grids and numerical gradients by formulating an unconstrained convex optimization problem. The solution at each point is completely independent, and allows a massively parallel implementation if solutions at multiple points are desired. This work presents a primal-dual method for efficient numeric solution and presents how the resulting optimal trajectory can be generated directly from the solution of the Hopf formula, without further optimization. Examples presented have execution times on the order of milliseconds and experiments show computation scales approximately polynomial in dimension with very small high-order coefficients.","url":"https://arxiv.org/abs/1712.08226v3","authors":["Matthew R. Kirchner","Gary Hewer","Jerome Darbon","Stanley Osher"],"tags":["eess.SY","math.OC"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2017-12-21T21:48:01Z","addedAt":"2026-08-06T22:48:52.578Z"},{"id":"arxiv:2509.02839v2","name":"An overview of Koopman-based control: From error bounds to closed-loop guarantees","source":"arxiv","abstract":"Controlling nonlinear dynamical systems remains a central challenge in a wide range of applications, particularly when accurate first-principle models are unavailable. Data-driven approaches offer a promising alternative by designing controllers directly from observed trajectories. A wide range of data-driven methods relies on the Koopman-operator framework that enables linear representations of nonlinear dynamics via lifting into higher-dimensional observable spaces. Finite-dimensional approximations, such as extended dynamic mode decomposition (EDMD) and its controlled variants, make prediction and feedback control tractable but introduce approximation errors that must be accounted for to provide rigorous closed-loop guarantees. This survey provides a systematic overview of Koopman-based control, emphasizing the connection between data-driven surrogate models, approximation errors, controller design, and closed-loop guarantees. We review theoretical foundations, error bounds, and both linear and bilinear EDMD-based control schemes, highlighting robust strategies that ensure stability and performance. Finally, we discuss open challenges and future directions at the interface of operator theory, approximation theory, and nonlinear control.","url":"https://arxiv.org/abs/2509.02839v2","authors":["Robin Strässer","Karl Worthmann","Igor Mezić","Julian Berberich","Manuel Schaller","Frank Allgöwer"],"tags":["eess.SY"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2025-09-02T21:08:28Z","addedAt":"2026-08-06T22:48:52.578Z"},{"id":"arxiv:2103.13839v2","name":"Abstracting the Sampling Behaviour of Stochastic Linear Periodic Event-Triggered Control Systems","source":"arxiv","abstract":"Recently, there have been efforts towards understanding the sampling behaviour of event-triggered control (ETC), for obtaining metrics on its sampling performance and predicting its sampling patterns. Finite-state abstractions, capturing the sampling behaviour of ETC systems, have proven promising in this respect. So far, such abstractions have been constructed for non-stochastic systems. Here, inspired by this framework, we abstract the sampling behaviour of stochastic narrow-sense linear periodic ETC (PETC) systems via Interval Markov Chains (IMCs). Particularly, we define functions over sequences of state-measurements and interevent times that can be expressed as discounted cumulative sums of rewards, and compute bounds on their expected values by constructing appropriate IMCs and equipping them with suitable rewards. Finally, we argue that our results are extendable to more general forms of functions, thus providing a generic framework to define and study various ETC sampling indicators.","url":"https://arxiv.org/abs/2103.13839v2","authors":["Giannis Delimpaltadakis","Luca Laurenti","Manuel Mazo"],"tags":["eess.SY","math.OC"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2021-03-25T13:45:09Z","addedAt":"2026-08-06T22:48:52.578Z"},{"id":"arxiv:2007.00318v3","name":"Optimal control of the transmission rate in compartmental epidemics","source":"arxiv","abstract":"We introduce a general system of ordinary differential equations that includes some classical and recent models for the epidemic spread in a closed population without vital dynamic in a finite time horizon. The model is vectorial, in the sense that it accounts for a vector valued state function whose components represent various kinds of exposed/infected subpopulations, with a corresponding vector of control functions possibly different for any subpopulation. In the general setting, we prove well-posedness and positivity of the initial value problem for the system of state equations and the existence of solutions to the optimal control problem of the coefficients of the nonlinear part of the system, under a very general cost functional. We also prove the uniqueness of the optimal solution for a small time horizon when the cost is superlinear in all control variables with possibly different exponents in the interval (1,2]. We consider then a linear cost in the control variables and study the singular arcs. Full details are given in the case n=1 and the results are illustrated by the aid of some numerical simulations.","url":"https://arxiv.org/abs/2007.00318v3","authors":["Lorenzo Freddi"],"tags":["math.OC"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2020-07-01T08:24:39Z","addedAt":"2026-08-06T22:48:52.578Z"},{"id":"arxiv:2312.14808v1","name":"A Tricycle Model to Accurately Control an Autonomous Racecar with Locked Differential","source":"arxiv","abstract":"In this paper, we present a novel formulation to model the effects of a locked differential on the lateral dynamics of an autonomous open-wheel racecar. The model is used in a Model Predictive Controller in which we included a micro-steps discretization approach to accurately linearize the dynamics and produce a prediction suitable for real-time implementation. The stability analysis of the model is presented, as well as a brief description of the overall planning and control scheme which includes an offline trajectory generation pipeline, an online local speed profile planner, and a low-level longitudinal controller. An improvement of the lateral path tracking is demonstrated in preliminary experimental results that have been produced on a Dallara AV-21 during the first Indy Autonomous Challenge event on the Monza F1 racetrack. Final adjustments and tuning have been performed in a high-fidelity simulator demonstrating the effectiveness of the solution when performing close to the tire limits.","url":"https://arxiv.org/abs/2312.14808v1","authors":["Ayoub Raji","Nicola Musiu","Alessandro Toschi","Francesco Prignoli","Eugenio Mascaro","Pietro Musso","Francesco Amerotti","Alexander Liniger","Silvio Sorrentino","Marko Bertogna"],"tags":["eess.SY","cs.AI","cs.RO","math.OC"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2023-12-22T16:29:55Z","addedAt":"2026-08-06T22:48:52.578Z"},{"id":"arxiv:2103.16566v1","name":"An Integrated Mechanical Intelligence and Control Approach Towards Flight Control of Aerobat","source":"arxiv","abstract":"Our goal in this work is to expand the theory and practice of robot locomotion by addressing critical challenges associated with the robotic biomimicry of bat aerial locomotion. Bats are known for their pronounced, fast wing articulations, e.g., bats can mobilize as many as forty joints during a single wingbeat, with some joints reaching over one thousand degrees per second in angular speed. Copying bats flight is a significant ordeal, however, very rewarding. Aerial drones with morphing bodies similar to bats can be safer, agile and energy-efficient owing to their articulated and soft wings. Current design paradigms have failed to copy bat flight because they assume only closed-loop feedback roles and ignore computational roles carried out by morphology. To respond to the urgency, a design framework called Morphing via Integrated Mechanical Intelligence and Control (MIMIC) is proposed. In this paper, using the dynamic model of Northeastern University's Aerobat, which is designed to test the effectiveness of the MIMIC framework, it will be shown that computational structures and closed-loop feedback can be successfully used to mimic bats stable flight apparatus.","url":"https://arxiv.org/abs/2103.16566v1","authors":["Eric Sihite","Atefe Darabi","Pravin Dangol","Andrew Lessieur","Alireza Ramezani"],"tags":["cs.RO","eess.SY"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2021-03-29T20:55:22Z","addedAt":"2026-08-06T22:48:52.578Z"},{"id":"arxiv:1309.1574v1","name":"Identification of nonlinear controllers from data: theory and computation","source":"arxiv","abstract":"This manuscript contains technical details and proofs of recent results developed by the authors, pertaining to the design of nonlinear controllers from the experimental data measured on an existing feedback control system.","url":"https://arxiv.org/abs/1309.1574v1","authors":["Lorenzo Fagiano","Carlo Novara"],"tags":["eess.SY","math.DS","math.OC"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2013-09-06T09:21:56Z","addedAt":"2026-08-06T22:48:52.578Z"},{"id":"arxiv:1410.0405v4","name":"Linearly Solvable Stochastic Control Lyapunov Functions","source":"arxiv","abstract":"This paper presents a new method for synthesizing stochastic control Lyapunov functions for a class of nonlinear stochastic control systems. The technique relies on a transformation of the classical nonlinear Hamilton-Jacobi-Bellman partial differential equation to a linear partial differential equation for a class of problems with a particular constraint on the stochastic forcing. This linear partial differential equation can then be relaxed to a linear differential inclusion, allowing for relaxed solutions to be generated using sum of squares programming. The resulting relaxed solutions are in fact viscosity super/subsolutions, and by the maximum principle are pointwise upper and lower bounds to the underlying value function, even for coarse polynomial approximations. Furthermore, the pointwise upper bound is shown to be a stochastic control Lyapunov function, yielding a method for generating nonlinear controllers with pointwise bounded distance from the optimal cost when using the optimal controller. These approximate solutions may be computed with non-increasing error via a hierarchy of semidefinite optimization problems. Finally, this paper develops a-priori bounds on trajectory suboptimality when using these approximate value functions, as well as demonstrates that these methods, and bounds, can be applied to a more general class of nonlinear systems not obeying the constraint on stochastic forcing. Simulated examples illustrate the methodology.","url":"https://arxiv.org/abs/1410.0405v4","authors":["Yoke Peng Leong","Matanya B. Horowitz","Joel W. Burdick"],"tags":["math.OC"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2014-10-01T22:49:18Z","addedAt":"2026-08-06T22:48:52.578Z"},{"id":"arxiv:2505.22378v2","name":"Current trends and future directions in event-based control","source":"arxiv","abstract":"The defining characteristic of event-based control is that feedback loops are only closed when indicated by a triggering condition that takes recent information about the system into account. This stands in contrast to periodic control where the feedback loop is closed periodically. Benefits of event-based control arise when sampling comes at a cost, which occurs, e.g., for Networked Control Systems or in other setups with resource constraints. A rapidly growing number of publications deals with event-based control. Nevertheless, some fundamental questions about event-based control are still unsolved. In this article, we provide an overview of current research trends in event-based control. We focus on results that aim for a better understanding of effects that occur in feedback loops with event-based control. Based on this summary, we identify important open directions for future research.","url":"https://arxiv.org/abs/2505.22378v2","authors":["Michael Hertneck","David Meister","Frank Allgöwer"],"tags":["eess.SY"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2025-05-28T14:06:32Z","addedAt":"2026-08-06T22:48:52.578Z"},{"id":"arxiv:2206.05596v2","name":"Neural Network-based Flight Control Systems: Present and Future","source":"arxiv","abstract":"As the first review in this field, this paper presents an in-depth mathematical view of Intelligent Flight Control Systems (IFCSs), particularly those based on artificial neural networks. The rapid evolution of IFCSs in the last two decades in both the methodological and technical aspects necessitates a comprehensive view of them to better demonstrate the current stage and the crucial remaining steps towards developing a truly intelligent flight management unit. To this end, in this paper, we will provide a detailed mathematical view of Neural Network (NN)-based flight control systems and the challenging problems that still remain. The paper will cover both the model-based and model-free IFCSs. The model-based methods consist of the basic feedback error learning scheme, the pseudocontrol strategy, and the neural backstepping method. Besides, different approaches to analyze the closed-loop stability in IFCSs, their requirements, and their limitations will be discussed in detail. Various supplementary features, which can be integrated with a basic IFCS such as the fault-tolerance capability, the consideration of system constraints, and the combination of NNs with other robust and adaptive elements like disturbance observers, would be covered, as well. On the other hand, concerning model-free flight controllers, both the indirect and direct adaptive control systems including indirect adaptive control using NN-based system identification, the approximate dynamic programming using NN, and the reinforcement learning-based adaptive optimal control will be carefully addressed. Finally, by demonstrating a well-organized view of the current stage in the development of IFCSs, the challenging issues, which are critical to be addressed in the future, are thoroughly identified.","url":"https://arxiv.org/abs/2206.05596v2","authors":["Seyyed Ali Emami","Paolo Castaldi","Afshin Banazadeh"],"tags":["eess.SY"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2022-06-11T19:42:35Z","addedAt":"2026-08-06T22:48:52.578Z"},{"id":"arxiv:2103.05130v1","name":"Feasibility Governor for Linear Model Predictive Control","source":"arxiv","abstract":"This paper introduces the Feasibility Governor (FG): an add-on unit that enlarges the region of attraction of Model Predictive Control by manipulating the reference to ensure that the underlying optimal control problem remains feasible. The FG is developed for linear systems subject to polyhedral state and input constraints. Offline computations using polyhedral projection algorithms are used to construct the feasibility set. Online implementation relies on the solution of a convex quadratic program that guarantees recursive feasibility. The closed-loop system is shown to satisfy constraints, achieve asymptotic stability, and exhibit zero-offset tracking.","url":"https://arxiv.org/abs/2103.05130v1","authors":["Terrence Skibik","Dominic Liao-McPherson","Torbjørn Cunis","Ilya Kolmanovsky","Marco M. Nicotra"],"tags":["math.OC"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2021-03-08T22:50:18Z","addedAt":"2026-08-06T22:48:52.578Z"},{"id":"arxiv:1610.04391v2","name":"A guiding vector field algorithm for path following control of nonholonomic mobile robots","source":"arxiv","abstract":"In this paper we propose an algorithm for path following control of the nonholonomic mobile robot based on the idea of the guiding vector field (GVF). The desired path may be an arbitrary smooth curve in its implicit form, that is, a level set of a predefined smooth function. Using this function and the robot's kinematic model, we design a GVF, whose integral curves converge to the trajectory. A nonlinear motion controller is then proposed which steers the robot along such an integral curve, bringing it to the desired path. We establish global convergence conditions for our algorithm and demonstrate its applicability and performance by experiments with real wheeled robots.","url":"https://arxiv.org/abs/1610.04391v2","authors":["Yuri A. Kapitanyuk","Anton V. Proskurnikov","Ming Cao"],"tags":["eess.SY","cs.RO","math.OC"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2016-10-14T10:12:11Z","addedAt":"2026-08-06T22:48:52.579Z"},{"id":"arxiv:2202.06629v2","name":"Efficiently solving the harmonic model predictive control formulation","source":"arxiv","abstract":"Harmonic model predictive control (HMPC) is a model predictive control (MPC) formulation which displays several benefits over other MPC formulations, especially when using a small prediction horizon. These benefits, however, come at the expense of an optimization problem that is no longer the typical quadratic programming problem derived from most linear MPC formulations due to the inclusion of a particular class of second order cone constraints. This article presents a method for efficiently dealing with these constraints in operator splitting methods, leading to a computation time for solving HMPC in line with state of the art solvers for linear MPC. We show how to apply this result to the alternating direction method of multipliers algorithm, presenting a solver which we compare against other solvers from the literature, including solvers for other linear MPC formulations. The results show that the proposed solver, and by extension the HMPC formulation, is suitable for its implementation in embedded systems.","url":"https://arxiv.org/abs/2202.06629v2","authors":["Pablo Krupa","Daniel Limon","Alberto Bemporad","Teodoro Alamo"],"tags":["math.OC"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2022-02-14T11:33:39Z","addedAt":"2026-08-06T22:48:52.579Z"},{"id":"arxiv:2506.16870v1","name":"Vision-Based Multirotor Control for Spherical Target Tracking: A Bearing-Angle Approach","source":"arxiv","abstract":"This work addresses the problem of designing a visual servo controller for a multirotor vehicle, with the end goal of tracking a moving spherical target with unknown radius. To address this problem, we first transform two bearing measurements provided by a camera sensor into a bearing-angle pair. We then use this information to derive the system's dynamics in a new set of coordinates, where the angle measurement is used to quantify a relative distance to the target. Building on this system representation, we design an adaptive nonlinear control algorithm that takes advantage of the properties of the new system geometry and assumes that the target follows a constant acceleration model. Simulation results illustrate the performance of the proposed control algorithm.","url":"https://arxiv.org/abs/2506.16870v1","authors":["Marcelo Jacinto","Rita Cunha"],"tags":["eess.SY","cs.RO"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2025-06-20T09:39:55Z","addedAt":"2026-08-06T22:48:52.579Z"},{"id":"arxiv:2503.19228v4","name":"Bridging the Sim-to-real Gap: A Control Framework for Imitation Learning of Model Predictive Control","source":"arxiv","abstract":"To address the computational challenges of Model Predictive Control (MPC), recent research has studied using imitation learning to approximate MPC with a computationally efficient Deep Neural Network (DNN). However, this introduces a common issue in learning-based control, the simulation-to-reality (sim-to-real) gap. Inspired by Robust Tube MPC, this study proposes a new control framework that addresses this issue from a control perspective. The framework ensures the DNN operates in the same environment as the source domain, addressing the sim-to-real gap with great data collection efficiency. Moreover, an input refinement governor is introduced to address the DNN's inability to adapt to variations in model parameters, enabling the system to satisfy MPC constraints more robustly under parameter-changing conditions. The proposed framework was validated through two case studies: cart-pole control and vehicle collision avoidance control, which analyzed the principles of the proposed framework in detail and demonstrated its application to a vehicle control case.","url":"https://arxiv.org/abs/2503.19228v4","authors":["Seungtaek Kim","Jonghyup Lee","Kyoungseok Han","Seibum B. Choi"],"tags":["eess.SY"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2025-03-25T00:30:08Z","addedAt":"2026-08-06T22:48:52.579Z"},{"id":"doi:10.1109/lra.2024.3416794/mm1","name":"The Palletrone Cart: Human-Robot Interaction-Based Aerial Cargo Transportation_supp1-3416794.mp4","source":"crossref","abstract":"","url":"https://doi.org/10.1109/lra.2024.3416794/mm1","authors":["Seung Jae Lee"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-06-20T13:47:13Z","addedAt":"2026-08-06T22:48:52.579Z","doi":"10.1109/lra.2024.3416794/mm1","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.2514/6.1968-869","name":"OP-EX - An optimal-explicit guidance algorithm for powered flight outside the atmosphere","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.1968-869","authors":["G. BRAUDAWAY"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2013-10-08T16:01:46Z","addedAt":"2026-08-06T22:48:52.579Z","doi":"10.2514/6.1968-869","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.23919/acc.1988.4790102","name":"A Minimal Realization Algorithm for Flight Control Systems","source":"crossref","abstract":"","url":"https://doi.org/10.23919/acc.1988.4790102","authors":["Chun Shung Hsu","D. Hou","Gregory Robel"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2018-06-01T16:12:15Z","addedAt":"2026-08-06T22:48:52.579Z","doi":"10.23919/acc.1988.4790102","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.2514/6.1988-4165","name":"A minimal realization algorithm for flight control systems","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.1988-4165","authors":["CHIN HSU","GREGORY ROBEL"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2013-10-02T15:29:02Z","addedAt":"2026-08-06T22:48:52.579Z","doi":"10.2514/6.1988-4165","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.1109/ccdc.2010.5498216","name":"Fuzzy-PID control algorithm of the helicopter model flight attitude control","source":"crossref","abstract":"","url":"https://doi.org/10.1109/ccdc.2010.5498216","authors":["Le Zhang","Shaojie Bi","Hong Yang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2010-07-12T19:30:27Z","addedAt":"2026-08-06T22:48:52.579Z","doi":"10.1109/ccdc.2010.5498216","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.4028/www.scientific.net/amm.401-403.1649","name":"The Research of Flight Control Algorithm of Flight-Sliding Type Inspection Robot","source":"crossref","abstract":"In order to further optimize the methods of patrol and inspection in transmission line, Flight-Sliding type inspection robot is designed, which combines the advantages of Quadrotor and inspection robot. The robot has a flight and online inspection function. Due to overshoot phenomenon can not occur in the process of the robot flying to power lines and hanging, Fuzzy PID control algorithm is selected. The algorithm complies with the requirements of flight control. Matlab simulations indicate that Fuzzy PID control algorithm is effective in flight control of Flight-Sliding type inspection robot.","url":"https://doi.org/10.4028/www.scientific.net/amm.401-403.1649","authors":["Ping Yu","Hu Zhang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2013-09-03T10:29:33Z","addedAt":"2026-08-06T22:48:52.579Z","doi":"10.4028/www.scientific.net/amm.401-403.1649","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.1109/acc.2006.1655377","name":"A deterministic hybrid optimisation algorithm for nonlinear flight control systems analysis","source":"crossref","abstract":"","url":"https://doi.org/10.1109/acc.2006.1655377","authors":["P.P. Menon","D.G. Bates","I. Postlethwaite"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2006-08-03T00:10:31Z","addedAt":"2026-08-06T22:48:52.579Z","doi":"10.1109/acc.2006.1655377","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.14489/vkit.2017.12.pp.003-011","name":"ALGORITHM TO CONTROL AIRCRAFT FLIGHT PATH TO A SPECIFIED POINT WITH A SPECIFIED FLIGHT PATH ANGLE","source":"crossref","abstract":"","url":"https://doi.org/10.14489/vkit.2017.12.pp.003-011","authors":["I. S. Kikin"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2018-02-24T13:26:25Z","addedAt":"2026-08-06T22:48:52.579Z","doi":"10.14489/vkit.2017.12.pp.003-011","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.2514/6.2012-4612","name":"Back-Stepping Based Flight Path Angle Control Algorithm for Longitudinal Dynamics","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2012-4612","authors":["Thanh Tran","Brett Newman"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2012-12-20T03:35:18Z","addedAt":"2026-08-06T22:48:52.579Z","doi":"10.2514/6.2012-4612","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.5220/0005006000050013","name":"Efficient In-flight Transfer Alignment Using Evolutionary Strategy Based Particle Filter Algorithm","source":"crossref","abstract":"","url":"https://doi.org/10.5220/0005006000050013","authors":["Suvendu Chattaraj","Abhik Mukherjee"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2014-09-16T10:01:41Z","addedAt":"2026-08-06T22:48:52.579Z","doi":"10.5220/0005006000050013","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.1109/ccdc.2014.6852124","name":"PID control strategy for UAV flight control system based on improved genetic algorithm optimization","source":"crossref","abstract":"","url":"https://doi.org/10.1109/ccdc.2014.6852124","authors":["Feng Lin","Haidong Duan","Xiaoguang Qu"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2014-07-29T15:21:43Z","addedAt":"2026-08-06T22:48:52.579Z","doi":"10.1109/ccdc.2014.6852124","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.1117/12.3039375","name":"4D trajectory planning and parameter prediction algorithm based on flight performance","source":"crossref","abstract":"","url":"https://doi.org/10.1117/12.3039375","authors":["Huihui Hui"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-09-04T11:31:59Z","addedAt":"2026-08-06T22:48:52.579Z","doi":"10.1117/12.3039375","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.2514/6.1998-4476","name":"A Genetic Algorithm for determining optimal flight trajectories","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.1998-4476","authors":["Stephane Mondoloni"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2013-10-02T17:59:22Z","addedAt":"2026-08-06T22:48:52.579Z","doi":"10.2514/6.1998-4476","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.2139/ssrn.5369780","name":"Deep Reinforcement Learning-Based Control Algorithm for Flight Kinematics of Insect-Scale Flyers","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.5369780","authors":["Seungpyo Hong","Sejin Kim","Innyoung Kim","Donghyun You"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-07-29T00:37:25Z","addedAt":"2026-08-06T22:48:52.579Z","doi":"10.2139/ssrn.5369780","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.1109/naecon.2011.6183100","name":"Multi-core implementation of F-16 flight surface control system using Genetic Algorithm based adaptive control algorithm","source":"crossref","abstract":"","url":"https://doi.org/10.1109/naecon.2011.6183100","authors":["Xiaoru Wang","Mohammad Wadood Majid","Mohsin M. Jamali"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2012-04-27T17:39:49Z","addedAt":"2026-08-06T22:48:52.579Z","doi":"10.1109/naecon.2011.6183100","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.1109/cccm.2009.5267970","name":"Prediction model and algorithm of flight delay propagation based on integrated consideration of critical flight resources","source":"crossref","abstract":"","url":"https://doi.org/10.1109/cccm.2009.5267970","authors":["Rong Yao","Wang Jiandong","Xu Tao"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2009-09-30T14:35:35Z","addedAt":"2026-08-06T22:48:52.579Z","doi":"10.1109/cccm.2009.5267970","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.23919/ccc63176.2024.10661968","name":"Design of Active Disturbance Rejection Control Algorithm for High-Speed Quadrotor Flight","source":"crossref","abstract":"","url":"https://doi.org/10.23919/ccc63176.2024.10661968","authors":["Jialin Yu","Jie Ma","Baoqing Yang","Fenghua He"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-09-17T18:46:36Z","addedAt":"2026-08-06T22:48:52.579Z","doi":"10.23919/ccc63176.2024.10661968","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.23919/chicc.2019.8866178","name":"Flight Envelope Predicting Algorithm for UAV Based on UKF","source":"crossref","abstract":"","url":"https://doi.org/10.23919/chicc.2019.8866178","authors":["Shumin Lu","Mou Chen","Mingsuo Li"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2019-10-17T23:19:42Z","addedAt":"2026-08-06T22:48:52.579Z","doi":"10.23919/chicc.2019.8866178","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.1109/naecon.1989.40231","name":"An aircraft flight control reconfiguration algorithm","source":"crossref","abstract":"","url":"https://doi.org/10.1109/naecon.1989.40231","authors":["M.R. Napoitano","R.L. Swaim","C.E. Goodner"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2003-01-13T13:46:33Z","addedAt":"2026-08-06T22:48:52.579Z","doi":"10.1109/naecon.1989.40231","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.23919/ccc64809.2025.11179301","name":"Attitude Control of Unpowered Aircraft in Flight Based on Kalman Filter Visual Servo-PID Optimization Algorithm","source":"crossref","abstract":"","url":"https://doi.org/10.23919/ccc64809.2025.11179301","authors":["Yiwei Shu","Shuquan Wang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-10-10T17:34:54Z","addedAt":"2026-08-06T22:48:52.579Z","doi":"10.23919/ccc64809.2025.11179301","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.2514/6.1995-3286","name":"Guidance algorithm for suborbital flight experiment of unmanned lifting entry vehicle","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.1995-3286","authors":["Shinji Ishimoto"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2013-05-15T18:02:09Z","addedAt":"2026-08-06T22:48:52.579Z","doi":"10.2514/6.1995-3286","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.1109/isscaa.2008.4776327","name":"Fuzzy logic control based on genetic algorithm to integrated flight control for hypersonic vehicles","source":"crossref","abstract":"","url":"https://doi.org/10.1109/isscaa.2008.4776327","authors":["Li Hui-feng","Wang Jian"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2009-02-13T13:55:29Z","addedAt":"2026-08-06T22:48:52.579Z","doi":"10.1109/isscaa.2008.4776327","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.1109/wcica.2014.7053599","name":"Research of stability augmentation flight control algorithm for quadrotor unmanned air vehicles","source":"crossref","abstract":"","url":"https://doi.org/10.1109/wcica.2014.7053599","authors":["Qingji Gao","Fengfa Yue"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2015-03-10T21:40:59Z","addedAt":"2026-08-06T22:48:52.579Z","doi":"10.1109/wcica.2014.7053599","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.1109/cdc.1994.411648","name":"The minimal time detection algorithm of changes in control parameters and its application to flight systems","source":"crossref","abstract":"","url":"https://doi.org/10.1109/cdc.1994.411648","authors":["Sungwan Kim"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2002-12-17T19:12:23Z","addedAt":"2026-08-06T22:48:52.579Z","doi":"10.1109/cdc.1994.411648","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.5626/jok.2017.44.6.559","name":"A UAV Flight Control Algorithm for Improving Flight Safety","source":"crossref","abstract":"","url":"https://doi.org/10.5626/jok.2017.44.6.559","authors":["Suncheol Park","Sungrok Jung","Myungjin Chung"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2018-05-08T22:18:51Z","addedAt":"2026-08-06T22:48:52.579Z","doi":"10.5626/jok.2017.44.6.559","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.1109/chicc.2015.7260326","name":"Flight control algorithm for small UAVs with aerodynamic asymmetry","source":"crossref","abstract":"","url":"https://doi.org/10.1109/chicc.2015.7260326","authors":["Tian Hua","Fang Zhou","Wen Ya-li","Zhao Wen-jie","Li Ping"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2015-09-14T17:20:26Z","addedAt":"2026-08-06T22:48:52.579Z","doi":"10.1109/chicc.2015.7260326","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.1109/chicc.2006.280710","name":"The Study of Improved Genetic Algorithm to Solve Flight Optimization Problem","source":"crossref","abstract":"","url":"https://doi.org/10.1109/chicc.2006.280710","authors":["Xiaofeng Wang","Shoukui Si","Xijing Sun"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2007-01-19T10:45:51Z","addedAt":"2026-08-06T22:48:52.579Z","doi":"10.1109/chicc.2006.280710","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.1109/imcec59810.2024.10575527","name":"Research on Redundancy Management Algorithm of UAVThree-redundancy Flight Control Computer","source":"crossref","abstract":"","url":"https://doi.org/10.1109/imcec59810.2024.10575527","authors":["Gongcai Xin","Zhan‘lei"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-07-02T17:24:06Z","addedAt":"2026-08-06T22:48:52.579Z","doi":"10.1109/imcec59810.2024.10575527","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.4304/jcp.9.1.85-88","name":"Control Algorithm of Control of Start and Stop of Data Collection of Dynamic Detection of Airport Flight Aid Light","source":"crossref","abstract":"","url":"https://doi.org/10.4304/jcp.9.1.85-88","authors":["Lishan Jia"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2014-01-23T12:11:59Z","addedAt":"2026-08-06T22:48:52.579Z","doi":"10.4304/jcp.9.1.85-88","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.1109/cgncc.2014.7007463","name":"Sensor fault detection algorithm of flight control system under modeling uncertainty and noise disturbance","source":"crossref","abstract":"","url":"https://doi.org/10.1109/cgncc.2014.7007463","authors":["Lin Jun","Zhang Ping"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2015-01-19T21:51:43Z","addedAt":"2026-08-06T22:48:52.579Z","doi":"10.1109/cgncc.2014.7007463","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.2514/6.2007-6647","name":"An Adaptive Disturbance Rejection Algorithm for MIMO Systems with An Aircraft Flight Control Application","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2007-6647","authors":["Yu Liu","Gang Tao"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2012-12-20T06:46:08Z","addedAt":"2026-08-06T22:48:52.579Z","doi":"10.2514/6.2007-6647","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.2514/6.1968-887","name":"A computationally stable noise-in-the-state filtering algorithm","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.1968-887","authors":["M. ALFORD, JR."],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2013-10-08T16:01:46Z","addedAt":"2026-08-06T22:48:52.579Z","doi":"10.2514/6.1968-887","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.1109/ccdc69976.2026.11560788","name":"A Hierarchical Flight Control Strategy for Quadrotor Based on Tube Model Predictive Control and Barrier Function Adaptive Super-Twisting Algorithm","source":"crossref","abstract":"","url":"https://doi.org/10.1109/ccdc69976.2026.11560788","authors":["Xiaojin Zhang","Zhengkan Zhang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-06-24T19:47:19Z","addedAt":"2026-08-06T22:48:52.579Z","doi":"10.1109/ccdc69976.2026.11560788","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.23919/chicc.2017.8029185","name":"Integrated flight/propulsion optimal control for DPC aircraft based on the BO-PSO algorithm","source":"crossref","abstract":"","url":"https://doi.org/10.23919/chicc.2017.8029185","authors":["Yiqiang Xu","Jing Zhang","Lingyu Yang","Xiaoke Yang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2017-09-29T19:54:00Z","addedAt":"2026-08-06T22:48:52.579Z","doi":"10.23919/chicc.2017.8029185","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.2174/9789815050028123040006","name":"Robust Finite-time Adaptive Control Algorithm for Satellite Attitude Maneuver","source":"crossref","abstract":"A robust adaptive finite-time controller for satellite fast attitude maneuver is proposed in this paper. The standard sliding mode is robust to some typical disturbances, but the convergence speed is slow and often could not meet the system requirements. The finite-time sliding mode not only has the robustness of the classical sliding mode, but also could greatly improve the terminal convergence speed. In order to deal with inertia matrix uncertainty, a finite-time adaptive law for inertia matrix estimation variables is proposed. A new method to deal with the singularity problem is proposed,based on the properties of Euler rotations. Considering that the variable estimation system has no direct feedback, an auxiliary state that converges slower than the system is designed to achieve finite-time stability. The Lyapunov method is used to demonstrate the global finite-time stability of the ensemble, and the numerical simulation results demonstrate the performance of the controller.&lt;br&gt;","url":"https://doi.org/10.2174/9789815050028123040006","authors":["Li You"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-03-07T10:55:56Z","addedAt":"2026-08-06T22:48:52.579Z","doi":"10.2174/9789815050028123040006","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.1109/iceceng.2011.6057040","name":"Optimization of aircraft flight control system based on an improved MOPSO algorithm","source":"crossref","abstract":"","url":"https://doi.org/10.1109/iceceng.2011.6057040","authors":["Kejun Bi","Baoning Liu","Weiguo Zhang","Rui Nie"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2011-10-24T20:30:26Z","addedAt":"2026-08-06T22:48:52.579Z","doi":"10.1109/iceceng.2011.6057040","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.1109/icacc.2010.5486839","name":"Reconfigurable flight control system design using eigenstructure assignment and particle swarm optimization algorithm","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icacc.2010.5486839","authors":["Meng Zhang","Weiguo Zhang","Yong Sun","Ning Ning"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2010-06-24T14:37:07Z","addedAt":"2026-08-06T22:48:52.579Z","doi":"10.1109/icacc.2010.5486839","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.31590/ejosat.946884","name":"Hexarotor Longitudinal Flight Control with Deep Neural Network, PID Algorithm and Morphing","source":"crossref","abstract":"","url":"https://doi.org/10.31590/ejosat.946884","authors":["Tugrul OKTAY","Oguz KOSE"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2021-08-15T16:47:44Z","addedAt":"2026-08-06T22:48:52.579Z","doi":"10.31590/ejosat.946884","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.1109/icamechs.2015.7287084","name":"Research on algorithm of nonlinear self-adaptive flight control system","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icamechs.2015.7287084","authors":["Hao Long","Sujie Song"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2015-10-05T21:57:33Z","addedAt":"2026-08-06T22:48:52.579Z","doi":"10.1109/icamechs.2015.7287084","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.2514/3.21529","name":"Minimal time change detection algorithm for reconfigurable flight control systems","source":"crossref","abstract":"","url":"https://doi.org/10.2514/3.21529","authors":["Sungwan Kim"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2008-06-05T01:36:44Z","addedAt":"2026-08-06T22:48:52.579Z","doi":"10.2514/3.21529","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.1177/00202940231154856","name":"Numerical algorithm for hypersonic vehicle optimal flight control","source":"crossref","abstract":"We consider a hypersonic vehicle optimal flight control problem. The problem is modeled as an optimal control problem of switched systems (OCPSS), which can become a parameter optimization problem (POP). Following that, to achieve the globally optimal solution of the POP, an improved continuous filled function (CFF) algorithm including one adjusting parameter is proposed based on a penalty function, in which the CFF is differentiable, excludes logarithmic terms or exponential terms, and does not require to minimize the cost function. Numerical results show that the proposed algorithm is effective.","url":"https://doi.org/10.1177/00202940231154856","authors":["Haoyue Zhang","Shihong Ding"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-02-24T02:28:01Z","addedAt":"2026-08-06T22:48:52.579Z","doi":"10.1177/00202940231154856","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.1109/esiat.2010.5568370","name":"Flight simulation table control based on linear active disturbance rejection control algorithm","source":"crossref","abstract":"","url":"https://doi.org/10.1109/esiat.2010.5568370","authors":["You Zhou","Dehui Qiu","Zhide Liu"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2010-09-15T17:48:18Z","addedAt":"2026-08-06T22:48:52.579Z","doi":"10.1109/esiat.2010.5568370","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.1109/epece63428.2024.00026","name":"Tunnel ventilation control system based on Lévy Flight Dynamics Improved Particle Swarm Optimization Algorithm","source":"crossref","abstract":"","url":"https://doi.org/10.1109/epece63428.2024.00026","authors":["Dahao Huang","Li Mu"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-08-13T17:20:01Z","addedAt":"2026-08-06T22:48:52.579Z","doi":"10.1109/epece63428.2024.00026","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.1109/ccdc52312.2021.9602413","name":"Control Strategy and Flight Trajectory Optimization Strategy Based on Improved De Casteljau's Algorithm for Indoor Drone","source":"crossref","abstract":"","url":"https://doi.org/10.1109/ccdc52312.2021.9602413","authors":["Bowen Jiao","Zuyi Wang","Li Xu"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2021-11-30T19:12:23Z","addedAt":"2026-08-06T22:48:52.579Z","doi":"10.1109/ccdc52312.2021.9602413","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.1117/12.2686600","name":"A fast route planning algorithm for civil aircraft test flight","source":"crossref","abstract":"","url":"https://doi.org/10.1117/12.2686600","authors":["Yun CHEN","Bo ZHOU","Jiayuan LI","Zhen XIANG"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-08-10T09:56:05Z","addedAt":"2026-08-06T22:48:52.579Z","doi":"10.1117/12.2686600","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.3390/a18050245","name":"DeCGAN: Speech Enhancement Algorithm for Air Traffic Control","source":"crossref","abstract":"Air traffic control (ATC) communication is susceptible to speech noise interference, which undermines the quality of civil aviation speech. To resolve this problem, we propose a speech enhancement model, termed DeCGAN, based on the DeConformer generative adversarial network. The model’s generator, the DeConformer module, combining a time frequency channel attention (TFC-SA) module and a deformable convolution-based feedforward neural network (DeConv-FFN), effectively captures both long-range dependencies and local features of speech signals. For this study, the outputs from two branches—the mask decoder and the complex decoder—were amalgamated to produce an enhanced speech signal. An evaluation metric discriminator was then utilized to derive speech quality evaluation scores, and adversarial training was implemented to generate higher-quality speech. Subsequently, experiments were performed to compare DeCGAN with other speech enhancement models on the ATC dataset. The experimental results demonstrate that the proposed model is highly competitive compared to existing models. Specifically, the DeCGAN model achieved a perceptual evaluation of speech quality (PESQ) score of 3.31 and short-time objective intelligibility (STOI) value of 0.96.","url":"https://doi.org/10.3390/a18050245","authors":["Haijun Liang","Yimin He","Hanwen Chang","Jianguo Kong"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-04-24T09:26:58Z","addedAt":"2026-08-06T22:48:52.579Z","doi":"10.3390/a18050245","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.1109/wcica.2010.5553781","name":"Study on flight-string optimization based on partheno-genetic algorithm","source":"crossref","abstract":"","url":"https://doi.org/10.1109/wcica.2010.5553781","authors":["Yaohua Li","Na Tan"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2010-08-24T14:58:28Z","addedAt":"2026-08-06T22:48:52.579Z","doi":"10.1109/wcica.2010.5553781","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.1109/itnec60942.2024.10733233","name":"A Sparrow Search Algorithm Based on Linnik Flight Improvements","source":"crossref","abstract":"","url":"https://doi.org/10.1109/itnec60942.2024.10733233","authors":["Dong Longlong"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-11-04T18:31:47Z","addedAt":"2026-08-06T22:48:52.579Z","doi":"10.1109/itnec60942.2024.10733233","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.2514/6.1977-1042","name":"Flight data processing with the F-8 adaptive algorithm","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.1977-1042","authors":["G. HARTMANN","G. STEIN","K. PETERSEN"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2013-10-02T14:21:09Z","addedAt":"2026-08-06T22:48:52.579Z","doi":"10.2514/6.1977-1042","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.23919/chicc.2019.8866249","name":"An LSTM-based Trajectory Estimation Algorithm for Non-cooperative Maneuvering Flight Vehicles","source":"crossref","abstract":"","url":"https://doi.org/10.23919/chicc.2019.8866249","authors":["Xinran Zhang","Fenghua He","Tianyu Zheng"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2019-10-17T19:19:42Z","addedAt":"2026-08-06T22:48:52.579Z","doi":"10.23919/chicc.2019.8866249","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.1002/(sici)1099-1239(19991215)9:14<1097::aid-rnc454>3.0.co;2-9","name":"Nonlinear adaptive flight control with genetic algorithm design optimization","source":"crossref","abstract":"","url":"https://doi.org/10.1002/(sici)1099-1239(19991215)9:14<1097::aid-rnc454>3.0.co;2-9","authors":["Marc L. Steinberg","Anthony B. Page"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2002-09-10T23:07:22Z","addedAt":"2026-08-06T22:48:52.579Z","doi":"10.1002/(sici)1099-1239(19991215)9:14<1097::aid-rnc454>3.0.co;2-9","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.2514/5.9781600866555.0197.0224","name":"Ground and flight testing of digital flight control systems","source":"crossref","abstract":"","url":"https://doi.org/10.2514/5.9781600866555.0197.0224","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2012-09-14T22:17:14Z","addedAt":"2026-08-06T22:48:52.579Z","doi":"10.2514/5.9781600866555.0197.0224","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.1109/msnmc.2016.7783126","name":"An optimal algorithm of aircraft flight simulator control","source":"crossref","abstract":"","url":"https://doi.org/10.1109/msnmc.2016.7783126","authors":["V.N. Azarskov","O.V. Ermolaeva","A.U. Kurganskyi","G.I. Rudyuk"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2016-12-19T22:07:05Z","addedAt":"2026-08-06T22:48:52.579Z","doi":"10.1109/msnmc.2016.7783126","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.1109/iis.1997.645204","name":"A dynamic backpropagation algorithm with application to gain-scheduled aircraft flight control system design","source":"crossref","abstract":"","url":"https://doi.org/10.1109/iis.1997.645204","authors":["Jianliang Wang","Weiqiang Zhang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2002-11-23T02:10:55Z","addedAt":"2026-08-06T22:48:52.579Z","doi":"10.1109/iis.1997.645204","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.2514/6.2026-1683","name":"Integrated Modeling and Flight Validation of a Long-Endurance UAV Control Algorithm","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2026-1683","authors":["Jae Gook Lee","Jon Ahn"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-01-29T10:19:56Z","addedAt":"2026-08-06T22:48:52.579Z","doi":"10.2514/6.2026-1683","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.1007/bfb0043104","name":"Application of dynamic flight control to realization of aircraft spatial flight manoeuvre","source":"crossref","abstract":"","url":"https://doi.org/10.1007/bfb0043104","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2006-02-06T13:57:29Z","addedAt":"2026-08-06T22:48:52.579Z","doi":"10.1007/bfb0043104","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.1177/0020294018768744","name":"Flight Motion Controller Design using Genetic Algorithm for a Quadcopter","source":"crossref","abstract":"In this study, the Genetic Algorithm operability is assigned to optimize the proportional–integral–derivative controller parameters for both simulation and real-time operation of quadcopter flight motion. The optimized proportional–integral–derivative gains, using Genetic Algorithm to minimum the fitness function via the integral of time multiplied by absolute error criterion, are then integrated to control the quadcopter flight motion. In addition, the proposed controller design is successfully implemented to the experimental real-time flight motion. The performance results are proven that the highly effective stability operation and the reliable of waypoint tracking.","url":"https://doi.org/10.1177/0020294018768744","authors":["Huu Khoa Tran","Thanh Nam Nguyen"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2018-04-12T10:27:02Z","addedAt":"2026-08-06T22:48:52.579Z","doi":"10.1177/0020294018768744","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.1007/978-3-031-78487-3_7","name":"Automatic Flight","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-031-78487-3_7","authors":["Johannes Stephan"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-05-03T11:52:08Z","addedAt":"2026-08-06T22:48:52.579Z","doi":"10.1007/978-3-031-78487-3_7","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.1117/12.2661993","name":"Fault detection of least squares support vector machine flight control system based on sparrow algorithm","source":"crossref","abstract":"","url":"https://doi.org/10.1117/12.2661993","authors":["Hong Xue","Hanhan Zeng"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2022-12-13T18:18:30Z","addedAt":"2026-08-06T22:48:52.579Z","doi":"10.1117/12.2661993","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.1007/978-3-031-78487-3_3","name":"Flight Mechanical Model","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-031-78487-3_3","authors":["Johannes Stephan"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-05-05T07:03:25Z","addedAt":"2026-08-06T22:48:52.579Z","doi":"10.1007/978-3-031-78487-3_3","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.1049/cp.2012.1007","name":"An improved cooperative PSO algorithm and its application in the flight control system","source":"crossref","abstract":"","url":"https://doi.org/10.1049/cp.2012.1007","authors":["Bao-ning Liu","Rui Nie","Wei-guo Zhang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2013-03-26T12:01:08Z","addedAt":"2026-08-06T22:48:52.579Z","doi":"10.1049/cp.2012.1007","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.1109/isscaa.2008.4776262","name":"Decoupling control for airspeed and flight path angle using an improved Total energy control algorithm","source":"crossref","abstract":"","url":"https://doi.org/10.1109/isscaa.2008.4776262","authors":["Qingzhen Zhang","Gao Chen","Ma Wentao","Ren Zhang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2009-02-13T13:55:29Z","addedAt":"2026-08-06T22:48:52.579Z","doi":"10.1109/isscaa.2008.4776262","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.2514/6.2009-6145","name":"Adaptive Feedback Control Algorithm for Flutter Boundary Expansion","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2009-6145","authors":["Jie Zeng","Raymond de Callafon","Martin Brenner"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2013-12-02T21:51:46Z","addedAt":"2026-08-06T22:48:52.579Z","doi":"10.2514/6.2009-6145","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.4271/air4094","name":"AIRCRAFT FLIGHT CONTROL SYSTEMS DESCRIPTIONS","source":"crossref","abstract":"&lt;div class=\"section abstract\"&gt; &lt;div class=\"htmlview paragraph\"&gt;This Aerospace Information Report (AIR) supplies information on the flight control systems incorporated on various aircraft. A brief description of the aircraft is followed by a description of the flight control system, some specific components, drawings of the internal arrangement, block diagrams, and schematics. System operation redundancy management is also presented.&lt;/div&gt;&lt;/div&gt;","url":"https://doi.org/10.4271/air4094","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2017-03-09T09:54:03Z","addedAt":"2026-08-06T22:48:52.579Z","doi":"10.4271/air4094","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.2514/3.20734","name":"Precise flight-path control using a predictive algorithm","source":"crossref","abstract":"","url":"https://doi.org/10.2514/3.20734","authors":["Y. C. Jung","R. A. Hess"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2008-06-05T00:36:26Z","addedAt":"2026-08-06T22:48:52.579Z","doi":"10.2514/3.20734","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.2514/6.2004-4751","name":"Realization of the Eurofighter 2000 Primary Lateral/Directional Flight Control Laws with Differential PI-Algorithm","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2004-4751","authors":["Robert Osterhuber","Martin Hanel","Rainer Hammon"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2012-12-20T08:57:19Z","addedAt":"2026-08-06T22:48:52.579Z","doi":"10.2514/6.2004-4751","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.1109/med.2013.6608701","name":"Italian unmanned space vehicle mission: Flight results of the Virtual Air Data algorithm","source":"crossref","abstract":"","url":"https://doi.org/10.1109/med.2013.6608701","authors":["F. Nebula","M. Ariola"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2013-10-01T14:38:53Z","addedAt":"2026-08-06T22:48:52.579Z","doi":"10.1109/med.2013.6608701","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.1109/etd.1995.403478","name":"Simulated flight control using a hybrid neural network/genetic algorithm architecture","source":"crossref","abstract":"","url":"https://doi.org/10.1109/etd.1995.403478","authors":["A.M. Langley","S.A. Barton","A.B. Markov"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2002-11-19T17:08:17Z","addedAt":"2026-08-06T22:48:52.579Z","doi":"10.1109/etd.1995.403478","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.1109/ccdc.2009.5191874","name":"A new flight rerouting path planning algorithm and its applications","source":"crossref","abstract":"","url":"https://doi.org/10.1109/ccdc.2009.5191874","authors":["Xiong Li","Xiaohao Xu","Fuqing Dai","Dongbin Li"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2009-08-11T19:20:49Z","addedAt":"2026-08-06T22:48:52.579Z","doi":"10.1109/ccdc.2009.5191874","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.1109/ccdc.2017.7978886","name":"A nearest neighbor sort algorithm based on cluster index for flight support task","source":"crossref","abstract":"","url":"https://doi.org/10.1109/ccdc.2017.7978886","authors":["Haiyan Jin","Juanjuan Qin"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2017-07-25T20:10:21Z","addedAt":"2026-08-06T22:48:52.579Z","doi":"10.1109/ccdc.2017.7978886","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.1109/ccdc.2018.8407124","name":"An improved multiple UAVs cooperative flight algorithm based on Leader Follower strategy","source":"crossref","abstract":"","url":"https://doi.org/10.1109/ccdc.2018.8407124","authors":["Tao Chen","Qi Gao","MingYu Guo"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2018-07-30T18:38:13Z","addedAt":"2026-08-06T22:48:52.579Z","doi":"10.1109/ccdc.2018.8407124","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.2316/journal.205.2009.1.205-4571","name":"INTELLIGENT-ADAPTIVE FLIGHT CONTROL WITH A PHYSIOLOGICALLY MOTIVATED ALGORITHM","source":"crossref","abstract":"","url":"https://doi.org/10.2316/journal.205.2009.1.205-4571","authors":["A.R. Mehrabian∗","C. Lucas∗∗"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2009-04-20T16:59:35Z","addedAt":"2026-08-06T22:48:52.579Z","doi":"10.2316/journal.205.2009.1.205-4571","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.1007/bfb0043100","name":"Generally on automatic flight control","source":"crossref","abstract":"","url":"https://doi.org/10.1007/bfb0043100","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2006-02-06T13:57:29Z","addedAt":"2026-08-06T22:48:52.579Z","doi":"10.1007/bfb0043100","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.1201/9781315151977-6","name":"Lateral-Directional Flight Dynamics and Control","source":"crossref","abstract":"","url":"https://doi.org/10.1201/9781315151977-6","authors":["Nandan K. Sinha","N. Ananthkrishnan"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2018-09-04T23:41:01Z","addedAt":"2026-08-06T22:48:52.579Z","doi":"10.1201/9781315151977-6","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.1201/b19350-7","name":"Flight Control","source":"crossref","abstract":"","url":"https://doi.org/10.1201/b19350-7","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2015-11-12T20:23:43Z","addedAt":"2026-08-06T22:48:52.579Z","doi":"10.1201/b19350-7","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.1360/ssi-2024-0023","name":"Channel coupling coordinated robust adaptive control algorithm for hypersonic flight vehicles","source":"crossref","abstract":"","url":"https://doi.org/10.1360/ssi-2024-0023","authors":["Yingxin SHOU","Xudong HAN"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-05-08T07:52:56Z","addedAt":"2026-08-06T22:48:52.579Z","doi":"10.1360/ssi-2024-0023","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.2514/6.2010-7859","name":"Piloted Simulator Evaluation Results of New Fault-Tolerant Flight Control Algorithm","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2010-7859","authors":["Thomas Lombaerts","Hafid Smaili","Olaf Stroosma","Ping Chu","Jan Albert Mulder","Diederick Joosten"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2013-09-23T19:46:52Z","addedAt":"2026-08-06T22:48:52.579Z","doi":"10.2514/6.2010-7859","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.2514/6.2022-2035","name":"Fault Tolerant Longitudinal Robust Flight Control Algorithm Design with All Stabilizing Multi Objective Parameter Synthesis","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2022-2035","authors":["Bahadir Gokceaslan","Onur Albostan"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2022-01-04T09:40:50Z","addedAt":"2026-08-06T22:48:52.579Z","doi":"10.2514/6.2022-2035","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.2514/1.31327","name":"Guidance Algorithm for Range Maximization and  Time-of-Flight Control of a Guided Projectile","source":"crossref","abstract":"","url":"https://doi.org/10.2514/1.31327","authors":["Craig P. Phillips"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2008-08-22T14:32:31Z","addedAt":"2026-08-06T22:48:52.579Z","doi":"10.2514/1.31327","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.23919/ccc63176.2024.10661851","name":"Levy Flight and Chaos Theory-Based African Vulture Optimization Algorithm for Electric Vehicle Charging Scheduling","source":"crossref","abstract":"","url":"https://doi.org/10.23919/ccc63176.2024.10661851","authors":["Shanbin Li","Qinglong Liu"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-09-17T18:46:36Z","addedAt":"2026-08-06T22:48:52.579Z","doi":"10.23919/ccc63176.2024.10661851","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.23919/ccc55666.2022.9902454","name":"A Fast Switching-based Trajectory Planning Algorithm for Aggressive Quadrotor Flight","source":"crossref","abstract":"","url":"https://doi.org/10.23919/ccc55666.2022.9902454","authors":["Junjie Gao","Haodi Yao","Hongxu Cao","Fenghua He"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2022-10-11T15:33:35Z","addedAt":"2026-08-06T22:48:52.579Z","doi":"10.23919/ccc55666.2022.9902454","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.1109/ccdc.2017.7978662","name":"Multiple flight vehicles trajectory global optimization based on improved natural running process algorithm","source":"crossref","abstract":"","url":"https://doi.org/10.1109/ccdc.2017.7978662","authors":["Haoxiang Chen","Ying Nan"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2017-07-25T20:10:21Z","addedAt":"2026-08-06T22:48:52.579Z","doi":"10.1109/ccdc.2017.7978662","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.4050/f-0075-2019-14746","name":"Helicopter Formation Control Algorithm for Manned-Unmanned Teaming","source":"crossref","abstract":"Manned-Unmanned Teaming creates opportunities to increase mission performance of close formation flight for military and civil uses. Currently, the close flight of two helicopters, one manned aircraft and one unmanned aircraft system (UAS), within a shared airspace organized as a mixed formation creates high pilot workload due to maintaining the formation and avoiding collisions at the same time. The work presented in this paper approaches this high workload and safety problem and introduces two different strategies implemented as controllers to automate the UAS for the formation flight. In addition to flight results, this paper presents the design and implementation of the formation strategies and highlights the process within a simulation framework of their development, tuning, and testing. The simulation framework also facilitated finding of suitable safety constraints for the formation controllers and the flight test. One developed strategy, the so called Corridor Mode, reduces crew workload, increases flight safety, and enabled the coupling of a manned and an unmanned helicopter in a close formation during a real flight test campaign.","url":"https://doi.org/10.4050/f-0075-2019-14746","authors":["Alexander Donkels","Andreas Voigt"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-07-12T14:58:48Z","addedAt":"2026-08-06T22:48:52.579Z","doi":"10.4050/f-0075-2019-14746","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.1017/9781009399913.013","name":"Feedback Flight Control","source":"crossref","abstract":"","url":"https://doi.org/10.1017/9781009399913.013","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-03-05T00:06:24Z","addedAt":"2026-08-06T22:48:52.579Z","doi":"10.1017/9781009399913.013","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.2514/5.9781600866555.0001.0055","name":"Industrial considerations for flight control","source":"crossref","abstract":"","url":"https://doi.org/10.2514/5.9781600866555.0001.0055","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2012-09-14T22:17:14Z","addedAt":"2026-08-06T22:48:52.579Z","doi":"10.2514/5.9781600866555.0001.0055","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.1109/cac53003.2021.9727914","name":"Differential Evolution Algorithm Optimized ELM Fault Diagnosis of Flight Control System Actuator","source":"crossref","abstract":"","url":"https://doi.org/10.1109/cac53003.2021.9727914","authors":["Yifan Wang","Jianwei Liu","Jianhao Xing","Zhihao Dai"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2022-03-14T22:38:14Z","addedAt":"2026-08-06T22:48:52.579Z","doi":"10.1109/cac53003.2021.9727914","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.1109/cac48633.2019.8996179","name":"Research on UAV Flight Tracking Control Based on Genetic Algorithm optimization and Improved bp Neural Network pid Control","source":"crossref","abstract":"","url":"https://doi.org/10.1109/cac48633.2019.8996179","authors":["Yuepeng Chen","Songran Liu","Chang Xiong","Yufeng Zhu","Jiaheng Wang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2020-02-14T03:25:50Z","addedAt":"2026-08-06T22:48:52.579Z","doi":"10.1109/cac48633.2019.8996179","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.1109/wcica.2004.1343768","name":"Design of three-axis flight simulator controller based on genetic algorithm","source":"crossref","abstract":"","url":"https://doi.org/10.1109/wcica.2004.1343768","authors":["Hongze Xu","Ling Jin"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2004-11-08T16:28:24Z","addedAt":"2026-08-06T22:48:52.579Z","doi":"10.1109/wcica.2004.1343768","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.1109/87.896748","name":"A principal component feedforward algorithm for active noise control: flight test results","source":"crossref","abstract":"","url":"https://doi.org/10.1109/87.896748","authors":["R. Cabell","D. Palumbo","J. Vipperman"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2002-08-24T18:17:23Z","addedAt":"2026-08-06T22:48:52.579Z","doi":"10.1109/87.896748","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.2514/6.2015-1315","name":"Design of a Track Guidance Algorithm for Formation Flight of UAVs","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2015-1315","authors":["Dongwoo Lee","Seung-Keun Kim","Jinyoung Suk"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2015-01-02T20:50:56Z","addedAt":"2026-08-06T22:48:52.579Z","doi":"10.2514/6.2015-1315","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.2514/6.2024-1590","name":"Gain Design for an INDI-based Flight Control Algorithm for a Conceptual Lift-to-Cruise Vehicle","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2024-1590","authors":["Denis Surmann","Stephan Myschik"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-01-29T22:03:51Z","addedAt":"2026-08-06T22:48:52.579Z","doi":"10.2514/6.2024-1590","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.1109/cgncc.2014.7007407","name":"Application of iterative closest point algorithm in automatic flight of speedy UAV","source":"crossref","abstract":"","url":"https://doi.org/10.1109/cgncc.2014.7007407","authors":["Gu Tianyuan","Zhang Ning"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2015-01-19T21:51:43Z","addedAt":"2026-08-06T22:48:52.579Z","doi":"10.1109/cgncc.2014.7007407","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.4271/air5273a","name":"Aircraft Flight Control Actuation System Failure-Detection Methods","source":"crossref","abstract":"&lt;div class=\"section abstract\"&gt; &lt;div class=\"htmlview paragraph\"&gt;This SAE Aerospace Information Report (AIR) provides descriptions of aircraft flight control actuation system failure-detection methods. The fault-detection methods are those used for ground and in-flight detection of failures in electrohydraulic actuation systems for primary flight controls.&lt;/div&gt; &lt;/div&gt;","url":"https://doi.org/10.4271/air5273a","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2022-12-19T05:02:11Z","addedAt":"2026-08-06T22:48:52.579Z","doi":"10.4271/air5273a","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.2514/5.9781624107351.0000.0000","name":"Clearance of Flight Control Laws: Optimal Control Approach","source":"crossref","abstract":"","url":"https://doi.org/10.2514/5.9781624107351.0000.0000","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-04-28T16:15:36Z","addedAt":"2026-08-06T22:48:52.579Z","doi":"10.2514/5.9781624107351.0000.0000","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.1109/itnec.2016.7560370","name":"A dynamic flight stringbased ant colony algorithm for fleet assignment","source":"crossref","abstract":"","url":"https://doi.org/10.1109/itnec.2016.7560370","authors":["Zhang Kang","Yu Ying","Wang Weijie"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2016-09-05T16:21:20Z","addedAt":"2026-08-06T22:48:52.579Z","doi":"10.1109/itnec.2016.7560370","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.1109/cgncc.2016.7829091","name":"A generic trajectory prediction and smoothing algorithm for flight management system","source":"crossref","abstract":"","url":"https://doi.org/10.1109/cgncc.2016.7829091","authors":["Liang Duanzhang","Cheng Peng","Cheng Nong"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2017-01-30T20:21:04Z","addedAt":"2026-08-06T22:48:52.579Z","doi":"10.1109/cgncc.2016.7829091","updatedAt":"2026-08-31T06:39:36.507Z"},{"id":"doi:10.1049/pbce057e_ch6","name":"Ground and flight testing of digital flight control systems","source":"crossref","abstract":"","url":"https://doi.org/10.1049/pbce057e_ch6","authors":["T. 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Algorithms.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/biomimetics11030200","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:52.579Z","doi":"10.3390/biomimetics11030200","updatedAt":"2026-08-31T06:39:36.508Z"},{"id":"doi:10.1038/s41598-026-44118-y","name":"GRNN-DP-MPC Co-optimization for predictive energy management in hybrid UAVs.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41598-026-44118-y","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:52.579Z","doi":"10.1038/s41598-026-44118-y","updatedAt":"2026-08-31T06:39:36.508Z"},{"id":"doi:10.1038/s41598-026-43400-3","name":"A photovoltaic maximum power point tracking strategy based on the IRBMO-VP&amp;O 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Assam.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41598-026-48744-4","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:52.579Z","doi":"10.1038/s41598-026-48744-4","updatedAt":"2026-08-31T06:39:36.508Z"},{"id":"doi:10.3390/s26072145","name":"Design and Implementation of a Real-Time Visual Tracking System for UAVs Based on PSDK.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s26072145","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:52.579Z","doi":"10.3390/s26072145","updatedAt":"2026-08-31T06:39:36.508Z"},{"id":"doi:10.1371/journal.pone.0346727","name":"Research on hybrid cloud resource scheduling optimization algorithm based on 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Classification.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/biomimetics11060379","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:52.579Z","doi":"10.3390/biomimetics11060379","updatedAt":"2026-08-31T06:39:36.508Z"},{"id":"doi:10.3390/e28020248","name":"Energy-Efficient 3D Trajectory Optimization and Resource Allocation for UAV-Enabled ISAC Systems.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/e28020248","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:52.579Z","doi":"10.3390/e28020248","updatedAt":"2026-08-31T06:39:36.508Z"},{"id":"doi:10.34133/cbsystems.0486","name":"Construction, Control, and Application of Cyborg Animal Composed of Biological and Electromechanical Systems.","source":"europepmc","abstract":"The limitations of biohybrid and mechanical robots, including insufficient control accuracy, limited flexibility, long-term stability, and endurance, have spurred considerable research interest in cyborg animals, which leverage the innate locomotion capabilities, physiological systems, and natural intelligence of organisms to perform tasks with high adaptability, superior performance, and extended endurance. This study provides a comprehensive overview of cyborg animals within the framework of animal taxonomy, summarizing the current state of research from a zoological perspective. Subsequently, the effect of different control techniques on the locomotion performance of cyborg animals was examined, with a special emphasis on 2 prominent research areas: brain-computer interfaces and muscle-receptor electrical stimulation. In addition, the role of advances in electronic backpack design and navigation control algorithms in enabling closed-loop control and applications, including swarm robotics, environmental exploration, and human-machine interaction, is also introduced, offering valuable insights for developing cyborg animals. This study highlights 4 critical aspects essential for the future advancement of cyborg animals by synthesizing recent progress and clarifying technical distinctions: adaptation between control strategies and animals, biocompatibility and stability of electronic backpacks, construction of interactive hybrid robotic systems, and ethical and welfare considerations related to the experimental animals, with the hope of facilitating the optimization and application of cyborg animal systems.","url":"https://doi.org/10.34133/cbsystems.0486","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:52.579Z","doi":"10.34133/cbsystems.0486","updatedAt":"2026-08-31T06:40:09.764Z"},{"id":"doi:10.3390/s26144539","name":"Modeling and Performance Analysis of a Liquid Desiccant Cooling and Dehumidification System Using ITSO-TCN-BiGRU-SA.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s26144539","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:52.579Z","doi":"10.3390/s26144539","updatedAt":"2026-08-31T06:39:36.508Z"},{"id":"doi:10.1371/journal.pone.0341948","name":"Dynamic optimization of high-bandwidth multi-receiver signals for civil aircraft flight tests telemetry.","source":"europepmc","abstract":"","url":"https://doi.org/10.1371/journal.pone.0341948","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:52.579Z","doi":"10.1371/journal.pone.0341948","updatedAt":"2026-08-31T06:39:36.508Z"},{"id":"doi:10.1038/s41598-025-34159-0","name":"A compressive sensing-driven data collection scheme for UAV-assisted wireless sensor networks.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41598-025-34159-0","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","addedAt":"2026-08-06T22:48:52.579Z","doi":"10.1038/s41598-025-34159-0","updatedAt":"2026-08-31T06:39:36.508Z"},{"id":"doi:10.21203/rs.3.rs-8882731/v1","name":"Data-Driven System Identification of an Active Helicopter Rotor Blade","source":"europepmc","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-8882731/v1","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:52.579Z","doi":"10.21203/rs.3.rs-8882731/v1","updatedAt":"2026-08-31T06:39:36.508Z"},{"id":"doi:10.1038/s41598-025-34880-w","name":"A Q-learning-based hybrid search algorithm integrating PRM and ACO for 3D UAV path planning.","source":"pubmed","abstract":"The utilization of unmanned aerial vehicle (UAV) in diverse scenarios, including disaster relief and delivery services, is experiencing a daily increase. In these applications, 3D path planning holds substantial research significance as it directly influences the operational efficiency, safety, and adaptability of the UAV. Nevertheless, the challenge of efficient 3D path planning for UAV in complex predefined environments persists due to the computational intractability of exact methods and the susceptibility of metaheuristics to local optima. While recent studies have focused on enhancing planners through multi-strategy fusion, they often rely on static heuristic rules and fixed parameter tuning. In this context, to address such problems more effectively, this paper presents a reinforcement learning-based hybrid algorithm integrating Probabilistic Roadmap (PRM) and Ant Colony Optimization (ACO), namely the PRM-QACO algorithm. Firstly, it employs the PRM method to generate a 3D random graph, thereby simplifying the 3D space and enhancing exploration efficiency. Secondly, it incorporates directional information into the ACO heuristic, enabling the UAV to reach the target more efficiently within the 3D space. Thirdly, and most distinctively, a Q-learning module is embedded as an intelligent controller to dynamically balance exploration and exploitation by rewarding or penalizing the ants' search outcomes, thus optimizing the paths discovered by elite ants. Finally, a path optimization mechanism is introduced to minimize the number of turns in the planned path, which is crucial for the UAV to conserve energy and circumvent obstacles. Simulation experiments conducted in MATLAB and AirSim environments across various 3D terrains demonstrate that PRM-QACO is an effective solution for 3D UAV path planning.","url":"https://doi.org/10.1038/s41598-025-34880-w","authors":["Liu S","Cui Y","Yu Y","Hu W"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:52.579Z","doi":"10.1038/s41598-025-34880-w","updatedAt":"2026-08-31T06:40:08.030Z"},{"id":"doi:10.3390/ani16101506","name":"Airborne Intelligent System for Abnormal Pig Behavior Identification and Locking.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/ani16101506","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:52.579Z","doi":"10.3390/ani16101506","updatedAt":"2026-08-31T06:39:36.508Z"},{"id":"doi:10.3390/biomimetics11070487","name":"Multi-Strategy Improved Connected Banking System Optimizer for Numerical Optimization and Real Problems.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/biomimetics11070487","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:52.579Z","doi":"10.3390/biomimetics11070487","updatedAt":"2026-08-31T06:40:08.030Z"},{"id":"doi:10.3390/s26082414","name":"A Sharpness-Optimized Partitioned PSF Estimation Method for UAV TDI Push-Broom Image Deblurring.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s26082414","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:52.579Z","doi":"10.3390/s26082414","updatedAt":"2026-08-31T06:39:36.508Z"},{"id":"doi:10.21203/rs.3.rs-9974262/v1","name":"Exact Extremality and Indirect Hermite–Simpson Approximation for Zermelo-Type Optimal Control","source":"europepmc","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-9974262/v1","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:52.579Z","doi":"10.21203/rs.3.rs-9974262/v1","updatedAt":"2026-08-31T06:39:36.508Z"},{"id":"doi:10.1016/j.ultras.2026.108080","name":"Dual-parameter ultrasonic guided wave packet characterization for ice thickness prediction and excitation signal optimization.","source":"europepmc","abstract":"","url":"https://doi.org/10.1016/j.ultras.2026.108080","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:52.579Z","doi":"10.1016/j.ultras.2026.108080","updatedAt":"2026-08-31T06:39:36.508Z"},{"id":"doi:10.3390/biomimetics11010025","name":"Global Path Planning for Land-Air Amphibious Biomimetic Robot Based on Improved PPO.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/biomimetics11010025","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:52.579Z","doi":"10.3390/biomimetics11010025","updatedAt":"2026-08-31T06:39:36.508Z"},{"id":"doi:10.1038/s41598-026-55549-y","name":"An intelligent SCADA-integrated deep learning framework for bird-safe offshore wind farm operation.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41598-026-55549-y","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:52.579Z","doi":"10.1038/s41598-026-55549-y","updatedAt":"2026-08-31T06:39:36.508Z"},{"id":"doi:10.1371/journal.pone.0345778","name":"VLM-Nav: Mapless UAV navigation using monocular vision driven by vision-language models.","source":"europepmc","abstract":"","url":"https://doi.org/10.1371/journal.pone.0345778","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:52.579Z","doi":"10.1371/journal.pone.0345778","updatedAt":"2026-08-31T06:39:36.508Z"},{"id":"doi:10.3390/s26051635","name":"Constrained Antenna Selection and Beam Pointing Control for Directional Flying Ad Hoc Networks.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s26051635","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:52.579Z","doi":"10.3390/s26051635","updatedAt":"2026-08-31T06:39:36.508Z"},{"id":"doi:10.3390/s26030931","name":"Trajectory Optimization of Airport Surface Guidance Operations for Unmanned Guidance Vehicles.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s26030931","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:52.579Z","doi":"10.3390/s26030931","updatedAt":"2026-08-31T06:39:36.508Z"},{"id":"doi:10.3390/s26092727","name":"Attitude Controller for UAV First-Order Acceleration Coefficients Tracking.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s26092727","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:52.579Z","doi":"10.3390/s26092727","updatedAt":"2026-08-31T06:39:36.508Z"},{"id":"doi:10.3390/biomimetics11060392","name":"Fog Task Scheduling Using Quality-Source-Driven Multi-Anchor Synchronized Search Algorithm.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/biomimetics11060392","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:52.579Z","doi":"10.3390/biomimetics11060392","updatedAt":"2026-08-31T06:39:36.508Z"},{"id":"doi:10.1038/s41598-026-42125-7","name":"Optimization of ultra-low volume spray for multi-drone based on wind sensitivity.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41598-026-42125-7","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:52.579Z","doi":"10.1038/s41598-026-42125-7","updatedAt":"2026-08-31T06:40:09.763Z"},{"id":"doi:10.1038/s41598-025-32313-2","name":"Power management of hybrid fuel cell fixed wing UAVs using a fuzzy reinforcement learning system optimized with meta-heuristic methods.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41598-025-32313-2","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","addedAt":"2026-08-06T22:48:52.579Z","doi":"10.1038/s41598-025-32313-2","updatedAt":"2026-08-31T06:39:36.508Z"},{"id":"doi:10.1371/journal.pone.0353154","name":"Modeling and analysis of forward and inverse kinematics for a flexible Stewart platform.","source":"europepmc","abstract":"","url":"https://doi.org/10.1371/journal.pone.0353154","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:52.579Z","doi":"10.1371/journal.pone.0353154","updatedAt":"2026-08-31T06:39:36.508Z"},{"id":"doi:10.1038/s41598-025-31130-x","name":"Harmonic adaptive fault-tolerant control for incipient and multiple faults of high mobility fighter.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41598-025-31130-x","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:52.579Z","doi":"10.1038/s41598-025-31130-x","updatedAt":"2026-08-31T06:39:36.508Z"},{"id":"doi:10.1038/s41598-025-28633-y","name":"Optimized super-twisting active disturbance rejection control based on nonlinear extended state observer for aircraft attitude stabilization.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41598-025-28633-y","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","addedAt":"2026-08-06T22:48:52.579Z","doi":"10.1038/s41598-025-28633-y","updatedAt":"2026-08-31T06:39:36.508Z"},{"id":"doi:10.3390/s26082416","name":"KA-IHO: A Kinematic-Aware Improved Hippo Optimization Algorithm for Collision-Free Mobile Robot Path Planning in Complex Grid Environments.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s26082416","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:52.579Z","doi":"10.3390/s26082416","updatedAt":"2026-08-31T06:39:36.508Z"},{"id":"doi:10.1038/s41598-026-38931-8","name":"ESO based adaptive neural network control for a quadrotor against wind and payload disturbances.","source":"pubmed","abstract":"This paper investigates the design of a robust controller for the trajectory tracking issue of an underactuated quadrotor unmanned aerial vehicle (UAV) subject to multiple disturbances. An anti-disturbance control framework is proposed by utilizing extended state observer (ESO) and neural network technology. Firstly, the dynamic model of the quadrotor UAV under wind and payload disturbance is established. To actively estimate the lumped disturbance of the UAV system, an ESO with only one parameter is introduced and the disturbances are transformed into the extended state of the UAV system for estimation. Secondly, an adaptive tracking controller that does not accurately obtain the dynamic model knowledge is constructed based on neural network method, where weights of the network can be automatically adjusted by the developed adaptive law. Then, finite-time convergency is analyzed for the ESO with only one parameter, and the Lyapunov criterion is adopted to verify the uniform ultimate boundedness of the UAV closed-loop system. Finally, various simulations under different scenarios are carried out to demonstrate the superiority and effectiveness of the proposed control strategy. For comparison, linear active disturbance rejection control (LADRC), sliding mode control (SMC), model-free based terminal SMC (MFTSMC), and adaptive fractional-order control (ADFOC) algorithms are introduced. Moreover, the physical experiment is given to validate the practicability of the proposed method.","url":"https://doi.org/10.1038/s41598-026-38931-8","authors":["Cai X","Dai J","Liu F","Ye P"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:52.579Z","doi":"10.1038/s41598-026-38931-8","updatedAt":"2026-08-31T06:40:02.907Z"},{"id":"doi:10.1007/s11214-026-01277-8","name":"The IMAP Magnetometer.","source":"europepmc","abstract":"","url":"https://doi.org/10.1007/s11214-026-01277-8","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:52.579Z","doi":"10.1007/s11214-026-01277-8","updatedAt":"2026-08-31T06:39:36.508Z"},{"id":"doi:10.3390/s26030755","name":"Distinguishing a Drone from Birds Based on Trajectory Movement and Deep Learning.","source":"pubmed","abstract":"Unmanned aerial vehicles (UAVs) increasingly share low-altitude airspace with birds, making early distinguishing between drones and biological targets critical for safety and security. This work addresses long-range scenarios where objects occupy only a few pixels and appearance-based recognition becomes unreliable. We develop a model-driven simulation pipeline that generates synthetic data with a controlled camera model, atmospheric background and realistic motion of three aerial target types: multicopter, fixed-wing UAV and bird. From these sequences, each track is encoded as a time series of image-plane coordinates and apparent size, and a bidirectional long short-term memory (LSTM) network is trained to classify trajectories as drone-like or bird-like. The model learns characteristic differences in smoothness, turning behavior and velocity fluctuations, and to achieve reliable separation between drone and bird motion patterns on synthetic test data. Motion-trajectory cues alone can support early distinguishing of drones from birds when visual details are scarce, providing a complementary signal to conventional image-based detection. The proposed synthetic data and sequence classification pipeline forms a reproducible testbed that can be extended with real trajectories from radar or video tracking systems and used to prototype and benchmark trajectory-based recognizers for integrated surveillance solutions. The proposed method is designed to generalize naturally to real surveillance systems, as it relies on trajectory-level motion patterns rather than appearance-based features that are sensitive to sensor quality, illumination, or weather conditions.","url":"https://doi.org/10.3390/s26030755","authors":["Nesteruk A","Nikitin V","Albrekht Y","Ścisło Ł","Grela D","Król P"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:52.579Z","doi":"10.3390/s26030755","updatedAt":"2026-08-31T06:40:02.907Z"},{"id":"doi:10.1093/pnasnexus/pgag154","name":"A mechanism-aided transformer may transform in-flight aviation safety.","source":"europepmc","abstract":"","url":"https://doi.org/10.1093/pnasnexus/pgag154","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:52.579Z","doi":"10.1093/pnasnexus/pgag154","updatedAt":"2026-08-31T06:39:36.508Z"},{"id":"doi:10.1371/journal.pone.0331662","name":"Robust finite-time anti-swing control for quadrotor slung-load system based on compensation function observer.","source":"europepmc","abstract":"","url":"https://doi.org/10.1371/journal.pone.0331662","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:52.579Z","doi":"10.1371/journal.pone.0331662","updatedAt":"2026-08-31T06:40:05.993Z"},{"id":"doi:10.3390/s26072256","name":"A Hybrid VMD-Transformer-BiLSTM Framework with Cross-Attention Fusion for Aileron Fault Diagnosis in UAVs.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s26072256","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:52.579Z","doi":"10.3390/s26072256","updatedAt":"2026-08-31T06:40:00.189Z"},{"id":"doi:10.1038/s41598-026-60028-5","name":"An approach to fault detection and dynamic fault tolerance for flush air data sensing system with multiple faults.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41598-026-60028-5","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:52.579Z","doi":"10.1038/s41598-026-60028-5","updatedAt":"2026-08-31T06:39:36.508Z"},{"id":"doi:10.1038/s41598-026-40514-6","name":"Image processing-based warning system for preventing the fuel selector valve from remaining closed in small trainer aircraft.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41598-026-40514-6","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:52.579Z","doi":"10.1038/s41598-026-40514-6","updatedAt":"2026-08-31T06:39:36.508Z"},{"id":"doi:10.1038/s41598-026-36871-x","name":"Improved black-winged kite optimization algorithm with multi-strategy hybrid and its application.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41598-026-36871-x","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:52.579Z","doi":"10.1038/s41598-026-36871-x","updatedAt":"2026-08-31T06:39:36.508Z"},{"id":"doi:10.3390/s26061856","name":"Remote Tower Air Traffic Controller Multimodal Fatigue Detection.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s26061856","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:52.579Z","doi":"10.3390/s26061856","updatedAt":"2026-08-31T06:39:36.508Z"},{"id":"doi:10.1038/s41598-026-38820-0","name":"Disturbance-tolerant quadrotor control using a hybrid LQR and super-twisting sliding mode approach.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41598-026-38820-0","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:52.579Z","doi":"10.1038/s41598-026-38820-0","updatedAt":"2026-08-31T06:39:36.508Z"},{"id":"doi:10.1038/s41598-026-40610-7","name":"Optimal capacity configuration of wind-photovoltaic-storage hybrid systems based on improved chaotic evolution optimization algorithm.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41598-026-40610-7","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:52.579Z","doi":"10.1038/s41598-026-40610-7","updatedAt":"2026-08-31T06:39:36.508Z"},{"id":"doi:10.3390/s26113540","name":"Joint Optimization of Trajectory-Resource Allocation and Deep Task Partial Offloading for MEC-Enabled Multi-UAV.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s26113540","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:52.579Z","doi":"10.3390/s26113540","updatedAt":"2026-08-31T06:40:08.031Z"},{"id":"doi:10.1038/s41598-025-23233-2","name":"Improved data driven strategy for aircraft controller design.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41598-025-23233-2","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","addedAt":"2026-08-06T22:48:52.579Z","doi":"10.1038/s41598-025-23233-2","updatedAt":"2026-08-31T06:39:36.508Z"},{"id":"doi:10.3390/s26020624","name":"UAV-Assisted Covert Communication with Dual-Mode Stochastic Jamming.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s26020624","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:52.579Z","doi":"10.3390/s26020624","updatedAt":"2026-08-31T06:39:36.508Z"},{"id":"doi:10.1038/s41598-025-34306-7","name":"Fuzzy energy management using a chaotic model to improve fuel consumption of fuel cell-battery hybrid fixed-wing UAVs operating under uncertainty control.","source":"pubmed","abstract":"This paper presents a novel real-time energy management strategy (EMS) for fuel cell/battery hybrid fixed-wing UAVs based on a chaotic augmentation fuzzy logic controller. In this framework, all fuzzy parameters and chaos suppression coefficients are optimized offline by the Fire Hawk Optimizer (FHO). The main innovation of this research is the simultaneous integration of three components that have never been integrated in the UAV literature: (i) Explicit modeling of environmental uncertainties-especially turbulent gusts-through a modified Lorenz system whose behavior is directly mapped to battery SOC and fuel cell hydrogen consumption dynamics; (ii) Real-time suppression of chaotic oscillations resulting from this model using a lightweight hybrid controller OGY&#x2009;+&#x2009;TDFC; and (iii) Single-stage global co-optimization of all tunable parameters (fuzzy membership functions, rule weights, OGY gain, TDFC gain and delay &#x3c4;) via the recent FHO algorithm. Simulation results on a 5&#xa0;kg fixed-wing UAV under a realistic 3-hour mission with chaotic wind disturbances show that the proposed strategy achieves 44.35% reduction in fuel-cell energy consumption and extends endurance by more than one hour compared to a baseline FHO-optimized conventional fuzzy EMS (without chaos modeling). Compared to state-of-the-art methods reported in the literature, it provides 14.65-28.75% higher fuel savings than NMPC/AHEMS-based approaches, 24.35% higher savings over PSO-optimized fuzzy EMS, and significantly superior disturbance rejection without requiring accurate future mission preview or heavy online computation, while remaining executable in real-time (&lt;&#x2009;16 ms/cycle) on typical UAV companion computers. These results highlight the effectiveness of explicit chaos-based uncertainty representation and lightweight hybrid chaos control in achieving superior fuel economy and robustness for long-endurance hybrid UAV operations.","url":"https://doi.org/10.1038/s41598-025-34306-7","authors":["Rostami M","Habibi P","Farajollahi A"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:52.579Z","doi":"10.1038/s41598-025-34306-7","updatedAt":"2026-08-31T06:40:09.764Z"},{"id":"doi:10.3390/biomimetics11060385","name":"A Multi-Strategy Enhanced Bionic-Inspired Secretary Bird Optimization Algorithm for Numerical Optimization and Artistic Image Segmentation.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/biomimetics11060385","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:52.579Z","doi":"10.3390/biomimetics11060385","updatedAt":"2026-08-31T06:39:36.508Z"},{"id":"doi:10.3390/s26030965","name":"MURM-A*: An Improved A* Within Comprehensive Path-Planning Scheme for Cellular-Connected Multi-UAVs Based on Radio Map and Complex Network.","source":"pubmed","abstract":"For the purpose of fulfilling the dual requirements of persistent cellular network connectivity and flight safety for cellular-connected Unmanned Aerial Vehicles (UAVs) operating in dense urban airspace, this paper presents an A*-oriented comprehensive path-planning scheme for multiple connected UAVs that integrates a radio map and complex network. Existing research often lacks rigorous processing of environmental map data, while the traditional A* algorithm struggles to simultaneously handle constraints such as obstacle avoidance, flight maneuverability, and multi-UAV path conflicts. To overcome these limitations, this study first constructs a path-planning model based on complex-network theory using environmental data and the radio map, clarifying the separation of responsibilities between environment representation and algorithmic search. On this basis, we proposed an improved A* algorithm for multi-UAV scenarios termed MURM-A*. Simulation results demonstrate that the proposed algorithm effectively avoids collisions with obstacles, adheres to UAV flight dynamics, and prevents spatial conflicts between multi-UAV paths, while achieving a joint optimization between path efficiency and radio quality. In terms of performance comparison, the proposed algorithm shows a marginal difference but ensures operational validity compared to traditional A*, exhibits a slightly increase in flight time but achieves a substantial reduction in radio-outage time compared to the Deep Reinforcement Learning (DRL) method. Furthermore, employing the path-planning model enables the algorithm to more accurately identify environmental information compared to directly using raw environmental maps. The modeling time is also notably shorter than the training time required for DRL methods. This study provides a well-structured and extensible systematic framework for reliable path planning of multiple cellular-connected UAVs in complex radio environments.","url":"https://doi.org/10.3390/s26030965","authors":["Chai Y","He Q","Wang Y","Yang X","Im SK"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:52.579Z","doi":"10.3390/s26030965","updatedAt":"2026-08-31T06:40:02.907Z"},{"id":"doi:10.3390/s26103110","name":"Terminal-Edge-Cloud Collaborative Computation Offloading and Resource Allocation Strategy Based on Improved Mayfly Algorithm for District Heating Systems.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s26103110","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:52.579Z","doi":"10.3390/s26103110","updatedAt":"2026-08-31T06:40:09.764Z"},{"id":"doi:10.1371/journal.pone.0343678","name":"Risk assessment of civil aviation cabin safety incidents based on the CNN-LSTM-Attention model.","source":"europepmc","abstract":"","url":"https://doi.org/10.1371/journal.pone.0343678","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:52.579Z","doi":"10.1371/journal.pone.0343678","updatedAt":"2026-08-31T06:39:36.508Z"},{"id":"doi:10.3390/s26113372","name":"Along- and Cross-Track Relocation for Ground Moving Target in a Squint Multichannel SAR System.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s26113372","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:52.579Z","doi":"10.3390/s26113372","updatedAt":"2026-08-31T06:39:36.508Z"},{"id":"doi:10.3390/s26113368","name":"A Concept for Smartphone-Based Emergency Flight Data Indication Systems in Light Aircraft.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s26113368","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:52.579Z","doi":"10.3390/s26113368","updatedAt":"2026-08-31T06:39:36.508Z"},{"id":"doi:10.1371/journal.pone.0340303","name":"An integrated multi-criteria decision-making model for long-term planning of UAVs in disaster management.","source":"pubmed","abstract":"With their superior capabilities, unmanned aerial vehicles (UAVs) play a crucial role in search, rescue, and surveillance operations in disaster management. It is of great importance in the long run to optimally designate the base locations and deployment plans of the UAVs needing a base for their operations. In this study, we develop an integrated multi-criteria decision-making model to select bases and plan missions of UAVs using a combination of multi-attribute and multi-objective optimization techniques, with the decision maker having an interactive role. We formulate a goal programming model in which the number of bases, flight distance, unairworthy days, and cost are jointly minimized. The Analytic Hierarchy Process (AHP) is used to designate the associated goal weights. We develop Algorithm 1 to identify the target level for each goal and Algorithm 2 to refine the model for better solutions. We apply the process in a problem setting where designated disaster activity zones (DAZs) need to be covered by some candidate bases, among which an optimal selection is made. The model's validation and refinement were evaluated across multiple scenarios. The illustrative example yields improvements of 8.57% in cost in the first scenario and 7.54% in distance in the second. The third scenario achieves 7.66% and 6.58% improvements in distance and cost, respectively. A real-world earthquake scenario from T&#xfc;rkiye further demonstrates the model's practical applicability, with 5% improvement in distance and 14.8% in cost. The results of the proposed decision-making process guarantee satisfactory solutions for long-term base and operational planning of UAVs.","url":"https://doi.org/10.1371/journal.pone.0340303","authors":["Bakir ME","Kasimoglu F"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:52.579Z","doi":"10.1371/journal.pone.0340303","updatedAt":"2026-08-31T06:40:02.907Z"},{"id":"doi:10.3390/s25237295","name":"Resource Allocation and Trajectory Planning in Integrated Sensing and Communication Enabled UAV-Assisted Vehicular Network.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s25237295","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","addedAt":"2026-08-06T22:48:52.579Z","doi":"10.3390/s25237295","updatedAt":"2026-08-31T06:39:36.508Z"},{"id":"doi:10.20944/preprints202605.0750.v1","name":"Fast Aerial Manipulation of a Varying Payload","source":"europepmc","abstract":"","url":"https://doi.org/10.20944/preprints202605.0750.v1","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:52.579Z","doi":"10.20944/preprints202605.0750.v1","updatedAt":"2026-08-31T06:40:02.907Z"},{"id":"doi:10.1126/scirobotics.aec1481","name":"RAPTOR: A foundation policy for quadrotor control.","source":"europepmc","abstract":"","url":"https://doi.org/10.1126/scirobotics.aec1481","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:52.579Z","doi":"10.1126/scirobotics.aec1481","updatedAt":"2026-08-31T06:39:36.508Z"},{"id":"doi:10.1038/s41598-026-45741-5","name":"A multi-strategy framework for enhancing Harris hawks optimization for global optimization problems.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41598-026-45741-5","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:52.579Z","doi":"10.1038/s41598-026-45741-5","updatedAt":"2026-08-31T06:39:36.508Z"},{"id":"doi:10.3390/s25247657","name":"A Hybrid Search Behavior-Based Adaptive Grey Wolf Optimizer for Cooperative Path Planning for Multiple UAVs.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s25247657","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","addedAt":"2026-08-06T22:48:52.579Z","doi":"10.3390/s25247657","updatedAt":"2026-08-31T06:40:09.764Z"},{"id":"doi:10.3390/biomimetics11010043","name":"An Improved Red-Billed Blue Magpie Optimization Algorithm for 3D UAV Path Planning in Complex Terrain.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/biomimetics11010043","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:52.579Z","doi":"10.3390/biomimetics11010043","updatedAt":"2026-08-31T06:40:08.030Z"},{"id":"arxiv:2605.13006v1","name":"Occlusion-Based Object Transportation Around Obstacles With a Swarm of Miniature Robots","source":"arxiv","abstract":"Swarm robotics utilises decentralised self-organising systems to form complex collective behaviours built from the bottom-up using individuals that have limited capabilities. Previous work has shown that simple occlusion-based strategies can be effective in using swarm robotics for the task of transporting objects to a goal position. However, this strategy requires a clear line-of-sight between the object and the goal. In this paper, we extend this strategy by allowing robots to form sub-goals; enabling any member of the swarm to establish a wider range of visibility of the goal, ultimately forming a chain of sub-goals between the object and the goal position. We do so while preserving the fully decentralised and communication-free nature of the original strategy, while maintaining performance in object-free scenarios. In five sets of simulated experiments, we demonstrate the generalisability of our proposed strategy. Our finite-state machine allows a sufficiently large swarm to transport objects around obstacles that block the goal. The method is robust to varying starting positions and can handle both concave and convex shapes.","url":"https://arxiv.org/abs/2605.13006v1","authors":["Breno Cunha Queiroz","Daniel MacRae"],"tags":["cs.RO","cs.MA"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2026-05-13T05:00:07Z","addedAt":"2026-08-06T22:48:52.794Z"},{"id":"arxiv:1304.3362v1","name":"Evolution of Swarm Robotics Systems with Novelty Search","source":"arxiv","abstract":"Novelty search is a recent artificial evolution technique that challenges traditional evolutionary approaches. In novelty search, solutions are rewarded based on their novelty, rather than their quality with respect to a predefined objective. The lack of a predefined objective precludes premature convergence caused by a deceptive fitness function. In this paper, we apply novelty search combined with NEAT to the evolution of neural controllers for homogeneous swarms of robots. Our empirical study is conducted in simulation, and we use a common swarm robotics task - aggregation, and a more challenging task - sharing of an energy recharging station. Our results show that novelty search is unaffected by deception, is notably effective in bootstrapping the evolution, can find solutions with lower complexity than fitness-based evolution, and can find a broad diversity of solutions for the same task. Even in non-deceptive setups, novelty search achieves solution qualities similar to those obtained in traditional fitness-based evolution. Our study also encompasses variants of novelty search that work in concert with fitness-based evolution to combine the exploratory character of novelty search with the exploitatory character of objective-based evolution. We show that these variants can further improve the performance of novelty search. Overall, our study shows that novelty search is a promising alternative for the evolution of controllers for robotic swarms.","url":"https://arxiv.org/abs/1304.3362v1","authors":["Jorge Gomes","Paulo Urbano","Anders Lyhne Christensen"],"tags":["cs.NE"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2013-04-11T16:39:40Z","addedAt":"2026-08-06T22:48:52.794Z"},{"id":"arxiv:2404.13440v1","name":"PACNav: Enhancing Collective Navigation for UAV Swarms in Communication-Challenged Environments","source":"arxiv","abstract":"This article presents Persistence Administered Collective Navigation (PACNav) as an approach for achieving decentralized collective navigation of Unmanned Aerial Vehicle (UAV) swarms. The technique is inspired by the flocking and collective navigation behavior observed in natural swarms, such as cattle herds, bird flocks, and even large groups of humans. PACNav relies solely on local observations of relative positions of UAVs, making it suitable for large swarms deprived of communication capabilities and external localization systems. We introduce the novel concepts of path persistence and path similarity, which allow each swarm member to analyze the motion of others. PACNav is grounded on two main principles: (1) UAVs with little variation in motion direction exhibit high path persistence and are considered reliable leaders by other UAVs; (2) groups of UAVs that move in a similar direction demonstrate high path similarity, and such groups are assumed to contain a reliable leader. The proposed approach also incorporates a reactive collision avoidance mechanism to prevent collisions with swarm members and environmental obstacles. The method is validated through simulated and real-world experiments conducted in a natural forest.","url":"https://arxiv.org/abs/2404.13440v1","authors":["Afzal Ahmad","Daniel Bonilla Licea","Giuseppe Silano","Tomas Baca","Martin Saska"],"tags":["cs.RO"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2024-04-20T18:29:20Z","addedAt":"2026-08-06T22:48:52.794Z"},{"id":"arxiv:2309.02834v1","name":"tinySLAM-based exploration with a swarm of nano-UAVs","source":"arxiv","abstract":"This paper concerns SLAM and exploration for a swarm of nano-UAVs. The laser range finder-based tinySLAM algorithm is used to build maps of the environment. The maps are synchronized using an iterative closest point algorithm. The UAVs then explore the map by steering to points selected by a modified dynamic coverage algorithm, for which we prove a stability result. Both algorithms inform each other, allowing the UAVs to map out new areas of the environment and move into them for exploration. Experimental findings using the nano-UAV Crazyflie 2.1 platform are presented. A key challenge is to implement all algorithms on the hardware limited experimental platform.","url":"https://arxiv.org/abs/2309.02834v1","authors":["Johan Markdahl","Mattias Vikgren"],"tags":["cs.RO","eess.SY"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2023-09-06T08:40:30Z","addedAt":"2026-08-06T22:48:52.794Z"},{"id":"arxiv:2402.18749v1","name":"Weighted strategies to guide a multi-objective evolutionary algorithm for multi-UAV mission planning","source":"arxiv","abstract":"Management and mission planning over a swarm of unmanned aerial vehicle (UAV) remains to date as a challenging research trend in what regards to this particular type of aircrafts. These vehicles are controlled by a number of ground control station (GCS), from which they are commanded to cooperatively perform different tasks in specific geographic areas of interest. Mathematically the problem of coordinating and assigning tasks to a swarm of UAV can be modeled as a constraint satisfaction problem, whose complexity and multiple conflicting criteria has hitherto motivated the adoption of multi-objective solvers such as multi-objective evolutionary algorithm (MOEA). The encoding approach consists of different alleles representing the decision variables, whereas the fitness function checks that all constraints are fulfilled, minimizing the optimization criteria of the problem. In problems of high complexity involving several tasks, UAV and GCS, where the space of search is huge compared to the space of valid solutions, the convergence rate of the algorithm increases significantly. To overcome this issue, this work proposes a weighted random generator for the creation and mutation of new individuals. The main objective of this work is to reduce the convergence rate of the MOEA solver for multi-UAV mission planning using weighted random strategies that focus the search on potentially better regions of the solution space. Extensive experimental results over a diverse range of scenarios evince the benefits of the proposed approach, which notably improves this convergence rate with respect to a naïve MOEA approach.","url":"https://arxiv.org/abs/2402.18749v1","authors":["Cristian Ramirez-Atencia","Javier Del Ser","David Camacho"],"tags":["cs.NE"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2024-02-28T23:05:27Z","addedAt":"2026-08-06T22:48:52.794Z"},{"id":"arxiv:2606.17845v1","name":"UAV-CAS: A Calibrated Digital-Twin Dataset for Intrusion Detection in UAV Swarm Networks","source":"arxiv","abstract":"Intrusion detection systems (IDS) trained on wired-network benchmarks degrade sharply in real-world unmanned aerial vehicle (UAV) swarms, where mobility, fluctuating link quality, and decentralized routing reshape traffic distributions. Existing UAV-specific datasets also do not systematically vary these conditions, leaving no way to train or test an IDS against the very shift that defeats it. We present UAV-CAS, a large-scale labeled flow dataset for UAV-network intrusion detection, generated by a Containernet digital twin that is systematically calibrated against AERPAW testbed measurements. We have a four-layer calibration pipeline spanning altitude-dependent path loss, mission-specific mobility, the link-level performance chain, and end-to-end trace fidelity. UAV-CAS comprises 99,492 flows drawn from 1,024 configurations that span five attack families (DoS, DDoS, blackhole, wormhole, replay) and nine collaborative attack compositions. A diversity analysis shows that high-rate attacks separate from benign traffic up to an order of magnitude more strongly than in any prior benchmark, while stealth attacks deliberately blend with benign traffic. Across ten baseline IDS, binary attack detection saturates above $0.98$, confirming the dataset is learnable, whereas full attack-class identification remains hard -- per-class $F_1$ ranges from near zero to $0.82$ and falls into the single digits for stealth attacks. We release the dataset, simulator, and calibration data to support reproducible UAV intrusion-detection research.","url":"https://arxiv.org/abs/2606.17845v1","authors":["Sripath Mishra","Bharat Bhargava","Zizheng Liu","Shafkat Islam"],"tags":["cs.NI"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2026-06-16T12:13:48Z","addedAt":"2026-08-06T22:48:52.794Z"},{"id":"arxiv:2405.00024v1","name":"Swarm UAVs Communication","source":"arxiv","abstract":"The advancement in cyber-physical systems has opened a new way in disaster management and rescue operations. The usage of UAVs is very promising in this context. UAVs, mainly quadcopters, are small in size and their payload capacity is limited. A single UAV can not traverse the whole area. Hence multiple UAVs or swarms of UAVs come into the picture managing the entire payload in a modular and equiproportional manner. In this work we have explored a vast topic related to UAVs. Among the UAVs quadcopter is the main focus. We explored the types of quadcopters, their flying strategy,their communication protocols, architecture and controlling techniques, followed by the swarm behaviour in nature and UAVs. Swarm behaviour and a few swarm optimization algorithms has been explored here. Swarm architecture and communication in between swarm UAV networks also got a special attention in our work. In disaster management the UAV swarm network must have to search a large area. And for this proper path planning algorithm is required. We have discussed the existing path planning algorithm, their advantages and disadvantages in great detail. Formation maintenance of the swarm network is an important issue which has been explored through leader-follower technique. The wireless path loss model has been modelled using friis and ground ray reflection model. Using this path loss models we have managed to create the link budget and simulate the variation of communication link performance with the variation of distance.","url":"https://arxiv.org/abs/2405.00024v1","authors":["Arindam Majee","Rahul Saha","Snehasish Roy","Srilekha Mandal","Sayan Chatterjee"],"tags":["cs.DC","cs.RO"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2024-02-24T14:54:39Z","addedAt":"2026-08-06T22:48:52.794Z"},{"id":"arxiv:2405.04079v1","name":"Leveraging swarm capabilities to assist other systems","source":"arxiv","abstract":"Most studies in swarm robotics treat the swarm as an isolated system of interest. We argue that the prevailing view of swarms as self-sufficient, independent systems limits the scope of potential applications for swarm robotics. A robot swarm could act as a support in an heterogeneous system comprising other robots and/or human operators, in particular by quickly providing access to a large amount of data acquired in large unknown environments. Tasks such as target identification &amp; tracking, scouting, or monitoring/surveillance could benefit from this approach.","url":"https://arxiv.org/abs/2405.04079v1","authors":["Miquel Kegeleirs","David Garzón Ramos","Guillermo Legarda Herranz","Ilyes Gharbi","Jeanne Szpirer","Ken Hasselmann","Lorenzo Garattoni","Gianpiero Francesca","Mauro Birattari"],"tags":["cs.RO"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2024-05-07T07:25:52Z","addedAt":"2026-08-06T22:48:52.794Z"},{"id":"arxiv:1607.04439v1","name":"A Networked Swarm Model for UAV Deployment in the Assessment of Forest Environments","source":"arxiv","abstract":"Autonomous Unmanned Aerial Vehicles (UAVs) have gained popularity due to their many potential application fields. Alongside sophisticated sensors, UAVs can be equipped with communication adaptors aimed for inter-UAV communication. Inter-communication of UAVs to form a UAV swarm raises questions on how to manage its communication structure and mobility. In this paper, we consider therefore the problem of establishing an efficient swarm movement model and a network topology between a collection of UAVs, which are specifically deployed for the scenario of high-quality forest-mapping. The forest environment with its highly heterogeneous distribution of trees and obstacles represents an extreme challenge for a UAV swarm. It requires the swarm to constantly avoid possible collisions with trees, to change autonomously the trajectory, which can lead to disconnection to the swarm, and to reconnect to the swarm after passing the obstacle, while continue collecting environmental data that needs to be fused and assessed efficiently. In this paper, we propose a novel solution to the formation flight problem for UAV swarms. The proposed method provides an adaptive and reliable network structure, which maintains swarm connectivity and communicability. These characteristics are needed to achieve a detailed and accurate description of the environment from the data acquired by the UAV swarm. The main characteristics of our approach are high scalability regarding the number of UAVs in the swarm and the adaptive network topology within the swarm.","url":"https://arxiv.org/abs/1607.04439v1","authors":["Matthias R. Brust","Bogdan M. Strimbu"],"tags":["cs.RO","cs.NI","eess.SY"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2016-07-15T10:03:19Z","addedAt":"2026-08-06T22:48:52.794Z"},{"id":"arxiv:2007.04882v2","name":"A Neuro-inspired Theory of Joint Human-Swarm Interaction","source":"arxiv","abstract":"Human-swarm interaction (HSI) is an active research challenge in the realms of swarm robotics and human-factors engineering. Here we apply a cognitive systems engineering perspective and introduce a neuro-inspired joint systems theory of HSI. The mindset defines predictions for adaptive, robust and scalable HSI dynamics and therefore has the potential to inform human-swarm loop design.","url":"https://arxiv.org/abs/2007.04882v2","authors":["Jonas D. Hasbach","Maren Bennewitz"],"tags":["cs.HC","cs.MA","cs.NE","cs.RO"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2020-07-09T15:34:22Z","addedAt":"2026-08-06T22:48:52.794Z"},{"id":"arxiv:1303.0323v1","name":"Clubs-based Particle Swarm Optimization","source":"arxiv","abstract":"This paper introduces a new dynamic neighborhood network for particle swarm optimization. In the proposed Clubs-based Particle Swarm Optimization (C-PSO) algorithm, each particle initially joins a default number of what we call 'clubs'. Each particle is affected by its own experience and the experience of the best performing member of the clubs it is a member of. Clubs membership is dynamic, where the worst performing particles socialize more by joining more clubs to learn from other particles and the best performing particles are made to socialize less by leaving clubs to reduce their strong influence on other members. Particles return gradually to default membership level when they stop showing extreme performance. Inertia weights of swarm members are made random within a predefined range. This proposed dynamic neighborhood algorithm is compared with other two algorithms having static neighborhood topologies on a set of classic benchmark problems. The results showed superior performance for C-PSO regarding escaping local optima and convergence speed.","url":"https://arxiv.org/abs/1303.0323v1","authors":["Wesam Elshamy","Hassan M Emara","Ahmed Bahgat"],"tags":["cs.NE"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2013-03-02T00:05:26Z","addedAt":"2026-08-06T22:48:52.794Z"},{"id":"arxiv:2503.02465v2","name":"UAV-VLRR: Vision-Language Informed NMPC for Rapid Response in UAV Search and Rescue","source":"arxiv","abstract":"Emergency search and rescue (SAR) operations often require rapid and precise target identification in complex environments where traditional manual drone control is inefficient. In order to address these scenarios, a rapid SAR system, UAV-VLRR (Vision-Language-Rapid-Response), is developed in this research. This system consists of two aspects: 1) A multimodal system which harnesses the power of Visual Language Model (VLM) and the natural language processing capabilities of ChatGPT-4o (LLM) for scene interpretation. 2) A non-linearmodel predictive control (NMPC) with built-in obstacle avoidance for rapid response by a drone to fly according to the output of the multimodal system. This work aims at improving response times in emergency SAR operations by providing a more intuitive and natural approach to the operator to plan the SAR mission while allowing the drone to carry out that mission in a rapid and safe manner. When tested, our approach was faster on an average by 33.75% when compared with an off-the-shelf autopilot and 54.6% when compared with a human pilot. Video of UAV-VLRR: https://youtu.be/KJqQGKKt1xY","url":"https://arxiv.org/abs/2503.02465v2","authors":["Yasheerah Yaqoot","Muhammad Ahsan Mustafa","Oleg Sautenkov","Artem Lykov","Valerii Serpiva","Dzmitry Tsetserukou"],"tags":["cs.RO","eess.SY"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2025-03-04T10:21:58Z","addedAt":"2026-08-06T22:48:52.794Z"},{"id":"arxiv:2512.07054v1","name":"Integrated Sensing, Communication, Computing, and Control Meets UAV Swarms in 6G","source":"arxiv","abstract":"To develop the low-altitude economy, the establishment of the low-altitude wireless network (LAWN) is the first priority. As the number of unmanned aerial vehicles (UAVs) increases, how to support the reliable flying and effective functioning of UAV swarms is challenging. Recently, the integrated sensing, communication, computing, and control (ISCCC) strategy was designed, which could act as effective physical {\\it reflex arc} links in the intelligent LAWN system. Thus, in this article, we outline the challenges and opportunities when ISCCC meets UAV swarm in LAWN in 6G. First, we propose a three-layer ISCCC structure for the UAV swarm, which is categorized according to the UAV swarm's requirements, i.e., flying, self-organizing, and functioning. Second, for different scenarios, we study the basic problem, promising technologies, and challenges to design ISCCC for UAV swarms. Third, through a case study that minimizes the flying trajectory error of the UAV swarm based on the ISCCC principle, we show that ISCCC is promising to simultaneously improve the reliability and efficiency of LAWN via jointly designing four components. Finally, we discuss the promising directions for the ISCCC-based UAV swarm in LAWN.","url":"https://arxiv.org/abs/2512.07054v1","authors":["Yiyan Ma","Bo Ai","Jingli Li","Weijie Yuan","Boxiang He","Weiyang Feng","Zhengyu Zhang","Qingqing Cheng","Zhangdui Zhong"],"tags":["eess.SP"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2025-12-08T00:04:39Z","addedAt":"2026-08-06T22:48:52.794Z"},{"id":"arxiv:1801.00443v2","name":"Capacity Characterization of UAV-Enabled Two-User Broadcast Channel","source":"arxiv","abstract":"Although prior works have exploited the UAV's mobility to enhance the wireless communication performance under different setups, the fundamental capacity limits of UAV-enabled/aided multiuser communication systems have not yet been characterized. To fill this gap, we consider in this paper a UAV-enabled two-user broadcast channel (BC), where a UAV flying at a constant altitude is deployed to send independent information to two users at different fixed locations on the ground. We aim to characterize the capacity region of this new type of BC over a given UAV flight duration, by jointly optimizing the UAV's trajectory and transmit power/rate allocations over time, subject to the UAV's maximum speed and maximum transmit power constraints. First, to draw essential insights, we consider two special cases with asymptotically large/low UAV flight duration/speed, respectively. For the former case, it is shown that a simple hover-fly-hover (HFH) UAV trajectory with time division multiple access (TDMA) based orthogonal multiuser transmission is capacity-achieving, while in the latter case, the UAV should hover at a fixed location that is nearer to the user with larger achievable rate and in general superposition coding (SC) based non-orthogonal transmission with interference cancellation at the receiver of the nearer user is required. Next, we consider the general case with finite UAV speed and flight duration. We show that the optimal UAV trajectory should follow a general HFH structure, i.e., the UAV successively hovers at a pair of initial and final locations above the line segment of the two users each with a certain amount of time and flies unidirectionally between them at the maximum speed, and SC is generally needed.","url":"https://arxiv.org/abs/1801.00443v2","authors":["Qingqing Wu","Jie Xu","Rui Zhang"],"tags":["cs.IT","math.HO","math.OC"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2018-01-01T13:37:54Z","addedAt":"2026-08-06T22:48:52.794Z"},{"id":"arxiv:0604110v1","name":"Modeling and Mathematical Analysis of Swarms of Microscopic Robots","source":"arxiv","abstract":"The biologically-inspired swarm paradigm is being used to design self-organizing systems of locally interacting artificial agents. A major difficulty in designing swarms with desired characteristics is understanding the causal relation between individual agent and collective behaviors. Mathematical analysis of swarm dynamics can address this difficulty to gain insight into system design. This paper proposes a framework for mathematical modeling of swarms of microscopic robots that may one day be useful in medical applications. While such devices do not yet exist, the modeling approach can be helpful in identifying various design trade-offs for the robots and be a useful guide for their eventual fabrication. Specifically, we examine microscopic robots that reside in a fluid, for example, a bloodstream, and are able to detect and respond to different chemicals. We present the general mathematical model of a scenario in which robots locate a chemical source. We solve the scenario in one-dimension and show how results can be used to evaluate certain design decisions.","url":"https://arxiv.org/abs/cs/0604110v1","authors":["Aram Galstyan","Tad Hogg","Kristina Lerman"],"tags":["cs.MA","cs.RO"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2006-04-27T23:33:25Z","addedAt":"2026-08-06T22:48:52.794Z"},{"id":"arxiv:2309.11992v1","name":"UAV Swarm Deployment and Trajectory for 3D Area Coverage via Reinforcement Learning","source":"arxiv","abstract":"Unmanned aerial vehicles (UAVs) are recognized as promising technologies for area coverage due to the flexibility and adaptability. However, the ability of a single UAV is limited, and as for the large-scale three-dimensional (3D) scenario, UAV swarms can establish seamless wireless communication services. Hence, in this work, we consider a scenario of UAV swarm deployment and trajectory to satisfy 3D coverage considering the effects of obstacles. In detail, we propose a hierarchical swarm framework to efficiently serve the large-area users. Then, the problem is formulated to minimize the total trajectory loss of the UAV swarm. However, the problem is intractable due to the non-convex property, and we decompose it into smaller issues of users clustering, UAV swarm hovering points selection, and swarm trajectory determination. Moreover, we design a Q-learning based algorithm to accelerate the solution efficiency. Finally, we conduct extensive simulations to verify the proposed mechanisms, and the designed algorithm outperforms other referred methods.","url":"https://arxiv.org/abs/2309.11992v1","authors":["Jia He","Ziye Jia","Chao Dong","Junyu Liu","Qihui Wu","Jingxian Liu"],"tags":["eess.SP","cs.NI"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2023-09-21T12:04:11Z","addedAt":"2026-08-06T22:48:52.794Z"},{"id":"arxiv:2102.03428v1","name":"Gridded UAV Swarm for Secrecy Rate Maximization with Unknown Eavesdropper","source":"arxiv","abstract":"This paper considers grid formation of an unmanned aerial vehicle (UAV) swarm for maximizing the secrecy rate in the presence of an unknown eavesdropper. In particular, the UAV swarm performs coordinated beamforming onto the null space of the legitimate channel to jam the eavesdropper located at an unknown location. By nulling the channel between the legitimate receiver and the UAV swarm, we obtain an optimal trajectory and jamming power allocation for each UAV enabling wideband single ray beamforming to improve the secrecy rate. Results obtained demonstrate the effectiveness of the proposed UAV-aided jamming scheme as well as the optimal number of UAVs in the swarm necessary to observe a saturation effect in the secrecy rate. We also show the optimal radius of the unknown but constrained location of the eavesdropper.","url":"https://arxiv.org/abs/2102.03428v1","authors":["Christantus O. Nnamani","Muhammad R. A. Khandaker","Mathini Sellathurai"],"tags":["cs.IT"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2021-02-05T21:35:30Z","addedAt":"2026-08-06T22:48:52.794Z"},{"id":"arxiv:2602.13016v1","name":"How Swarms Differ: Challenges in Collective Behaviour Comparison","source":"arxiv","abstract":"Collective behaviours often need to be expressed through numerical features, e.g., for classification or imitation learning. This problem is often addressed by proposing an ad-hoc feature set for a particular swarm behaviour context, usually without further consideration of the solution's resilience outside of the conceived context. Yet, the development of automatic methods to design swarm behaviours is dependent on the ability to measure quantitatively the similarity of swarm behaviours. Hence, we investigate the impact of feature sets for collective behaviours. We select swarm feature sets and similarity measures from prior swarm robotics works, which mainly considered a narrow behavioural context and assess their robustness. We demonstrate that the interplay of feature set and similarity measure makes some combinations more suitable to distinguish groups of similar behaviours. We also propose a self-organised map-based approach to identify regions of the feature space where behaviours cannot be easily distinguished.","url":"https://arxiv.org/abs/2602.13016v1","authors":["André Fialho Jesus","Jonas Kuckling"],"tags":["cs.RO"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2026-02-13T15:23:28Z","addedAt":"2026-08-06T22:48:52.794Z"},{"id":"arxiv:2002.04897v1","name":"Towards Reliable UAV Swarm Communication in D2D-Enhanced Cellular Network","source":"arxiv","abstract":"In the existing cellular networks, it remains a challenging problem to communicate with and control an unmanned aerial vehicle (UAV) swarm with both high reliability and low latency. Due to the UAV swarm's high working altitude and strong ground-to-air channels, it is generally exposed to multiple ground base stations (GBSs), while the GBSs that are serving ground users (occupied GBSs) can generate strong interference to the UAV swarm. To tackle this issue, we propose a novel two-phase transmission protocol by exploiting cellular plus device-to-device (D2D) communication for the UAV swarm. In Phase I, one swarm head is chosen for ground-to-air channel estimation, and all the GBSs that are not serving ground users (available GBSs) transmit a common control message to the UAV swarm simultaneously, using the same cellular frequency band, to combat the strong interference from occupied GBSs. In Phase II, all the UAVs that have decoded the common control message in Phase I further relay it to the other UAVs in the swarm via D2D communication, by exploiting the less interfered D2D frequency band and the proximity among UAVs. In this paper, we aim to characterize the reliability performance of the above two-phase protocol, i.e., the expected percentage of UAVs in the swarm that can decode the common control message, which is a non-trivial problem due to the complex system setup and the intricate coupling between the two phases. Nevertheless, we manage to obtain an approximated expression of the reliability performance of interest, under reasonable assumptions and with the aid of the Pearson distributions. Numerical results validate the accuracy of our analytical results and show the effectiveness of our protocol over other benchmark protocols. We also study the effect of key system parameters on the reliability performance, to reveal useful insights on the practical system design.","url":"https://arxiv.org/abs/2002.04897v1","authors":["Yitao Han","Liang Liu","Lingjie Duan","Rui Zhang"],"tags":["cs.IT","eess.SP"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2020-02-12T10:15:14Z","addedAt":"2026-08-06T22:48:52.794Z"},{"id":"arxiv:1808.06900v2","name":"Defending against Intrusion of Malicious UAVs with Networked UAV Defense Swarms","source":"arxiv","abstract":"Nowadays, companies such as Amazon, Alibaba, and even pizza chains are pushing forward to use drones, also called UAVs (Unmanned Aerial Vehicles), for service provision, such as package and food delivery. As governments intend to use these immense economic benefits that UAVs have to offer, urban planners are moving forward to incorporate so-called UAV flight zones and UAV highways in their smart city designs. However, the high-speed mobility and behavior dynamics of UAVs need to be monitored to detect and, subsequently, to deal with intruders, rogue drones, and UAVs with a malicious intent. This paper proposes a UAV defense system for the purpose of intercepting and escorting a malicious UAV outside the flight zone. The proposed UAV defense system consists of a defense UAV swarm, which is capable to self-organize its defense formation in the event of intruder detection, and chase the malicious UAV as a networked swarm. Modular design principles have been used for our fully localized approach. We developed an innovative auto-balanced clustering process to realize the intercept- and capture-formation. As it turned out, the resulting networked defense UAV swarm is resilient against communication losses. Finally, a prototype UAV simulator has been implemented. Through extensive simulations, we show the feasibility and performance of our approach.","url":"https://arxiv.org/abs/1808.06900v2","authors":["Matthias R. Brust","Grégoire Danoy","Pascal Bouvry","Dren Gashi","Himadri Pathak","Mike P. Gonçalves"],"tags":["cs.NI","cs.DS","cs.RO","eess.SY"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2018-08-21T13:56:02Z","addedAt":"2026-08-06T22:48:52.794Z"},{"id":"arxiv:1906.05174v1","name":"UAV Swarms as Amplify-and-Forward MIMO Relays","source":"arxiv","abstract":"Unmanned aerial vehicles provide new opportunities for performance improvements in future wireless communications systems. For example, they can act as relays that extend the range of a communication link and improve the capacity. Unlike conventional relays that are deployed at fixed locations, UAVs can change their positions to optimize the capacity or range on demand. In this paper, we consider using a swarm of UAVs as amplify-and-forward MIMO relays to provide connectivity between an obstructed multi-antenna equipped source and destination. We start by optimizing UAV placement for the single antenna case, and analyze its dependence on the noise introduced by the relay, its gain, and transmit power constraint. We extend our analysis for an arbitrary UAV swarm and show how the MIMO link capacity can be optimized by changing the distance of the swarm to the source and the destination. Then, we consider the effect of optimizing the positions of the UAVs within the swarm and derive an upper bound for the capacity at any given placement of the swarm. We also propose a simple near optimal approach to find the positions that optimize the capacity for the end-to-end link given that the source and the destination have uniform rectangular arrays.","url":"https://arxiv.org/abs/1906.05174v1","authors":["Samer Hanna","Enes Krijestorac","Han Yan","Danijela Cabric"],"tags":["eess.SP"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2019-06-12T14:38:41Z","addedAt":"2026-08-06T22:48:52.794Z"},{"id":"arxiv:1912.03600v5","name":"Repeatedly Energy-Efficient and Fair Service Coverage: UAV Slicing (Proactive UAV Network Slicing for URLLC and Mobile Broadband Service Multiplexing)","source":"arxiv","abstract":"Unmanned aerial vehicle (UAV) networks are convinced as a significant part of 5G and emerging 6G wireless networks. UAV slicing is a promising proposal of converging different services onto a common UAV network without deploying individual network solution for each type of service. This paper is concerned with UAV slicing for providing energy-efficient and fair service coverage for enhanced mobile broadband (eMBB) users (UEs). Aiming at physically configuring UAV slices, the UAV slicing problem is formulated as a time-dependent mixed-integer-non-convex programming problem with a goal of maximizing all UEs' data rates while minimizing UAVs' total transmit power. To mitigate this challenging problem, we first decompose the original problem into two time-dependent subproblems using a Lyapunov approach. We then derive the procedure of tackling the non-convexity and the mixed-integer property of the subproblems by exploring a successive convex approximate (SCA) method and an alternative optimization scheme, respectively. Based on the derived results, we develop an algorithm with provable performance guarantees to mitigate the two subproblems repeatedly.","url":"https://arxiv.org/abs/1912.03600v5","authors":["Peng Yang","Xing Xi","Tony Q. S. Quek","Jingxuan Chen","Xianbin Cao","Dapeng Wu"],"tags":["cs.NI"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2019-12-08T03:01:10Z","addedAt":"2026-08-06T22:48:52.794Z"},{"id":"arxiv:2402.18936v1","name":"Energy-Efficient UAV Swarm Assisted MEC with Dynamic Clustering and Scheduling","source":"arxiv","abstract":"In this paper, the energy-efficient unmanned aerial vehicle (UAV) swarm assisted mobile edge computing (MEC) with dynamic clustering and scheduling is studied. In the considered system model, UAVs are divided into multiple swarms, with each swarm consisting of a leader UAV and several follower UAVs to provide computing services to end-users. Unlike existing work, we allow UAVs to dynamically cluster into different swarms, i.e., each follower UAV can change its leader based on the time-varying spatial positions, updated application placement, etc. in a dynamic manner. Meanwhile, UAVs are required to dynamically schedule their energy replenishment, application placement, trajectory planning and task delegation. With the aim of maximizing the long-term energy efficiency of the UAV swarm assisted MEC system, a joint optimization problem of dynamic clustering and scheduling is formulated. Taking into account the underlying cooperation and competition among intelligent UAVs, we further reformulate this optimization problem as a combination of a series of strongly coupled multi-agent stochastic games, and then propose a novel reinforcement learning-based UAV swarm dynamic coordination (RLDC) algorithm for obtaining the equilibrium. Simulations are conducted to evaluate the performance of the RLDC algorithm and demonstrate its superiority over counterparts.","url":"https://arxiv.org/abs/2402.18936v1","authors":["Jialiuyuan Li","Jiayuan Chen","Changyan Yi","Tong Zhang","Kun Zhu","Jun Cai"],"tags":["cs.NI","eess.SP"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2024-02-29T08:05:23Z","addedAt":"2026-08-06T22:48:52.794Z"},{"id":"arxiv:1801.00444v2","name":"Common Throughput Maximization in UAV-Enabled OFDMA Systems with Delay Consideration","source":"arxiv","abstract":"The use of unmanned aerial vehicles (UAVs) as communication platforms is of great practical significance in future wireless networks, especially for on-demand deployment in temporary events and emergency situations. Although prior works have shown the performance improvement by exploiting the UAV's mobility, they mainly focus on delay-tolerant applications. As delay requirements fundamentally limit the UAV's mobility, it remains unknown whether the UAV is able to provide any performance gain in delay-constrained communication scenarios. Motivated by this, we study in this paper a UAV-enabled orthogonal frequency division multiple access (OFDMA) network where a UAV is dispatched as a mobile base station (BS) to serve a group of users on the ground. We consider a minimum-rate ratio (MRR) for each user, defined as the minimum instantaneous rate required over the average achievable throughput, to flexibly adjust the percentage of its delay-constrained data traffic. Under a given set of constraints on the users' MRRs, we aim to maximize the minimum average throughput of all users by jointly optimizing the UAV trajectory and OFDMA resource allocation. First, we show that the max-min throughput in general decreases as the users' MRR constraints become more stringent, which reveals a fundamental throughput-delay tradeoff in UAV-enabled communications. Next, we propose an iterative parameter-assisted block coordinate descent method to optimize the UAV trajectory and OFDMA resource allocation alternately, by applying the successive convex optimization and the Lagrange duality, respectively. Furthermore, an efficient and systematic UAV trajectory initialization scheme is proposed based on a simple circular trajectory. Finally, simulation results are provided to verify our theoretical findings and demonstrate the effectiveness of our proposed designs.","url":"https://arxiv.org/abs/1801.00444v2","authors":["Qingqing Wu","Rui Zhang"],"tags":["cs.IT","math.DS","math.HO","math.OC"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2018-01-01T13:41:00Z","addedAt":"2026-08-06T22:48:52.794Z"},{"id":"arxiv:2104.14075v1","name":"UAV Swarm Position Optimization for High Capacity MIMO Backhaul","source":"arxiv","abstract":"A swarm of cooperating UAVs communicating with a distant multiantenna ground station can leverage MIMO spatial multiplexing to scale the capacity. Due to the line-of-sight propagation between the swarm and the ground station, the MIMO channel is highly correlated, leading to limited multiplexing gains. In this paper, we optimize the UAV positions to attain the maximum MIMO capacity given by the single user bound. An infinite set of UAV placements that attains the capacity bound is first derived. Given an initial swarm placement, we formulate the problem of minimizing the distance traveled by the UAVs to reach a placement within the capacity maximizing set of positions. An offline centralized solution to the problem using block coordinate descent is developed assuming known initial positions of UAVs. We also propose an online distributed algorithm, where the UAVs iteratively adjust their positions to maximize the capacity. Our proposed approaches are shown to significantly increase the capacity at the expense of a bounded translation from the initial UAV placements. This capacity increase persists when using a massive MIMO ground station. Using numerical simulations, we show the robustness of our approaches in a Rician channel under UAV motion disturbances.","url":"https://arxiv.org/abs/2104.14075v1","authors":["Samer Hanna","Enes Krijestorac","Danijela Cabric"],"tags":["eess.SP","cs.NI"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2021-04-29T01:57:43Z","addedAt":"2026-08-06T22:48:52.794Z"},{"id":"arxiv:2106.02322v1","name":"UAV Swarm Path Planning with Reinforcement Learning for Field prospecting","source":"arxiv","abstract":"Unmanned Aerial Vehicle (UAV) swarms adoption shows a steady growth among operators due to the benefits in time and cost arisen from their use. However, this kind of system faces an important problem which is the calculation of many optimal paths for each UAV. Solving this problem would allow a to control many UAVs without human intervention at the same time while saving battery between recharges and performing several tasks simultaneously. The main aim is to develop a system capable of calculating the optimal flight path for a UAV swarm. The aim of these paths is to achieve full coverage of a flight area for tasks such as field prospection. All this, regardless of the size of maps and the number of UAVs in the swarm. It is not necessary to establish targets or any other previous knowledge other than the given map. Experiments have been conducted to determine whether it is optimal to establish a single control for all UAVs in the swarm or a control for each UAV. The results show that it is better to use one control for all UAVs because of the shorter flight time. In addition, the flight time is greatly affected by the size of the map. The results give starting points for future research such as finding the optimal map size for each situation.","url":"https://arxiv.org/abs/2106.02322v1","authors":["Alejandro Puente-Castro","Daniel Rivero","Alejandro Pazos","Enrique Fernandez-Blanco"],"tags":["cs.MA"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2021-06-04T08:04:14Z","addedAt":"2026-08-06T22:48:52.794Z"},{"id":"arxiv:2508.20553v2","name":"DMPC-Swarm: Distributed Model Predictive Control on Nano UAV Swarms","source":"arxiv","abstract":"Swarms of unmanned aerial vehicles (UAVs) are increasingly becoming vital to our society, undertaking tasks such as search and rescue, surveillance and delivery. A special variant of Distributed Model Predictive Control (DMPC) has emerged as a promising approach for the safe management of these swarms by combining the scalability of distributed computation with dynamic swarm motion control. In this DMPC method, multiple agents solve local optimization problems with coupled anti-collision constraints, periodically exchanging their solutions. Despite its potential, existing methodologies using this DMPC variant have yet to be deployed on distributed hardware that fully utilize true distributed computation and wireless communication. This is primarily due to the lack of a communication system tailored to meet the unique requirements of mobile swarms and an architecture that supports distributed computation while adhering to the payload constraints of UAVs. We present DMPC-SWARM, a new swarm control methodology that integrates an efficient, stateless low-power wireless communication protocol with a novel DMPC algorithm that provably avoids UAV collisions even under message loss. By utilizing event-triggered and distributed off-board computing, DMPC-SWARM supports nano UAVs, allowing them to benefit from additional computational resources while retaining scalability and fault tolerance. In a detailed theoretical analysis, we prove that DMPC-SWARM guarantees collision avoidance under realistic conditions, including communication delays and message loss. Finally, we present DMPC-SWARM's implementation on a swarm of up to 16 nano-quadcopters, demonstrating the first realization of these DMPC variants with computation distributed on multiple physical devices interconnected by a real wireless mesh networks. A video showcasing DMPC-SWARM is available at http://tiny.cc/DMPCSwarm.","url":"https://arxiv.org/abs/2508.20553v2","authors":["Alexander Gräfe","Joram Eickhoff","Marco Zimmerling","Sebastian Trimpe"],"tags":["eess.SY"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2025-08-28T08:45:45Z","addedAt":"2026-08-06T22:48:52.794Z"},{"id":"arxiv:1907.06181v2","name":"Hybrid Offline-Online Design for UAV-Enabled Data Harvesting in Probabilistic LoS Channel","source":"arxiv","abstract":"This paper considers an unmanned aerial vehicle (UAV)-enabled wireless sensor network (WSN) in urban areas, where a UAV is deployed to collect data from distributed sensor nodes (SNs) within a given duration. To characterize the occasional building blockage between the UAV and SNs, we construct the probabilistic line-of-sight (LoS) channel model for a Manhattan-type city by using the combined simulation and data regression method, which is shown in the form of a generalized logistic function of the UAV-SN elevation angle. We assume that only the knowledge of SNs' locations and the probabilistic LoS channel model is known a priori, while the UAV can obtain the instantaneous LoS/Non-LoS channel state information (CSI) with the SNs in real time along its flight. Our objective is to maximize the minimum (average) data collection rate from all the SNs for the UAV. To this end, we formulate a new rate maximization problem by jointly optimizing the UAV three-dimensional (3D) trajectory and transmission scheduling of SNs. Although the optimal solution is intractable due to the lack of the complete UAV-SNs CSI, we propose in this paper a novel and general design method, called hybrid offline-online optimization, to obtain a suboptimal solution to it, by leveraging both the statistical and real-time CSI. Essentially, our proposed method decouples the joint design of UAV trajectory and communication scheduling into two phases: namely, an offline phase that determines the UAV path prior to its flight based on the probabilistic LoS channel model, followed by an online phase that adaptively adjusts the UAV flying speeds along the offline optimized path as well as communication scheduling based on the instantaneous UAV-SNs CSI and SNs' individual amounts of data received accumulatively.","url":"https://arxiv.org/abs/1907.06181v2","authors":["Changsheng You","Rui Zhang"],"tags":["cs.IT","cs.NI"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2019-07-14T07:42:13Z","addedAt":"2026-08-06T22:48:52.794Z"},{"id":"arxiv:1912.09288v1","name":"Online Path Generation and Navigation for Swarms of UAVs","source":"arxiv","abstract":"With the growing popularity of Unmanned Aerial Vehicles (UAVs) for consumer applications, the number of accidents involving UAVs is also increasing rapidly. Therefore, motion safety of UAVs has become a prime concern for UAV operators. For a swarm of UAVs, a safe operation can not be guaranteed without preventing the UAVs from colliding with one another and with static and dynamically appearing, moving obstacles in the flying zone. In this paper, we present an online, collision-free path generation and navigation system for swarms of UAVs. The proposed system uses geographical locations of the UAVs and of the successfully detected, static and moving obstacles to predict and avoid: (1) UAV-to-UAV collisions, (2) UAV-to-static-obstacle collisions, and (3) UAV-to-moving-obstacle collisions. Our collision prediction approach leverages efficient runtime monitoring and Complex Event Processing (CEP) to make timely predictions. A distinctive feature of the proposed system is its ability to foresee potential collisions and proactively find best ways to avoid predicted collisions in order to ensure safety of the entire swarm. We also present a simulation-based implementation of the proposed system along with an experimental evaluation involving a series of experiments and compare our results with the results of four existing approaches. The results show that the proposed system successfully predicts and avoids all three kinds of collisions in an online manner. Moreover, it generates safe and efficient UAV routes, efficiently scales to large-sized problem instances, and is suitable for cluttered flying zones and for scenarios involving high risks of UAV collisions.","url":"https://arxiv.org/abs/1912.09288v1","authors":["Adnan Ashraf","Amin Majd","Elena Troubitsyna"],"tags":["cs.RO","eess.SP"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2019-12-19T15:26:17Z","addedAt":"2026-08-06T22:48:52.794Z"},{"id":"arxiv:2511.03283v1","name":"Integrated Sensing and Communication with UAV Swarms via Decentralized Consensus ADMM","source":"arxiv","abstract":"UAV swarms can form virtual antenna arrays to exploit additional spatial degrees of freedom and enhance integrated sensing and communication (ISAC). The optimization of UAV positions is challenging due to the distributed nature of swarms and the lack of a global view at individual UAVs. This paper presents a new decentralized optimization framework that allows UAVs to decide their locations in parallel and reach consensus on a globally optimal swarm geometry for ISAC. Specifically, we derive the achievable uplink rate and Cramér-Rao Bound (CRB) as tractable metrics for communication and sensing, respectively. The UAV positions are optimized to balance maximizing the communication rate and minimizing the CRB. To solve this non-convex problem with coupled variables, we develop a decentralized consensus alternating direction method of multipliers (ADMM) algorithm, which enables the UAVs to iteratively align their local updates and reach consensus. The algorithm decomposes the global objective into local projection updates, proxy-assisted consensus coordination, and lightweight dual updates, ensuring scalability and consistency throughout the swarm. Simulations demonstrate that the proposed consensus ADMM algorithm converges rapidly with strong scalability, and that the UAV swarm significantly outperforms fixed-array baselines in both communication and sensing performance.","url":"https://arxiv.org/abs/2511.03283v1","authors":["Zhiyuan Zhai","Wei Ni","Xin Wang","Dusit Niyato","Ekram Hossain"],"tags":["eess.SP"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2025-11-05T08:25:28Z","addedAt":"2026-08-06T22:48:52.794Z"},{"id":"arxiv:2509.20095v1","name":"From Pheromones to Policies: Reinforcement Learning for Engineered Biological Swarms","source":"arxiv","abstract":"Swarm intelligence emerges from decentralised interactions among simple agents, enabling collective problem-solving. This study establishes a theoretical equivalence between pheromone-mediated aggregation in \\celeg\\ and reinforcement learning (RL), demonstrating how stigmergic signals function as distributed reward mechanisms. We model engineered nematode swarms performing foraging tasks, showing that pheromone dynamics mathematically mirror cross-learning updates, a fundamental RL algorithm. Experimental validation with data from literature confirms that our model accurately replicates empirical \\celeg\\ foraging patterns under static conditions. In dynamic environments, persistent pheromone trails create positive feedback loops that hinder adaptation by locking swarms into obsolete choices. Through computational experiments in multi-armed bandit scenarios, we reveal that introducing a minority of exploratory agents insensitive to pheromones restores collective plasticity, enabling rapid task switching. This behavioural heterogeneity balances exploration-exploitation trade-offs, implementing swarm-level extinction of outdated strategies. Our results demonstrate that stigmergic systems inherently encode distributed RL processes, where environmental signals act as external memory for collective credit assignment. By bridging synthetic biology with swarm robotics, this work advances programmable living systems capable of resilient decision-making in volatile environments.","url":"https://arxiv.org/abs/2509.20095v1","authors":["Aymeric Vellinger","Nemanja Antonic","Elio Tuci"],"tags":["cs.AI"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2025-09-24T13:16:35Z","addedAt":"2026-08-06T22:48:52.794Z"},{"id":"arxiv:2201.05271v1","name":"Trajectory and Transmit Power Optimization for IRS-Assisted UAV Communication under Malicious Jamming","source":"arxiv","abstract":"In this letter, we investigate an unmanned aerial vehicle (UAV) communication system, where an intelligent reflecting surface (IRS) is deployed to assist in the transmission from a ground node (GN) to the UAV in the presence of a jammer. We aim to maximize the average rate of the UAV communication by jointly optimizing the GN's transmit power, the IRS's passive beamforming and the UAV's trajectory. However, the formulated problem is difficult to solve due to the non-convex objective function and the coupled optimization variables. Thus, to tackle it, we propose an alternating optimization (AO) based algorithm by exploiting the successive convex approximation (SCA) and semidefinite relaxation (SDR) techniques. Simulation results show that the proposed algorithm can significantly improve the average rate compared with the benchmark algorithms. Moreover, it also shows that when the jamming power is large and the number of IRS elements is relatively small, deploying the IRS near the jammer outperforms deploying it near the GN, and vice versa.","url":"https://arxiv.org/abs/2201.05271v1","authors":["Zhi Ji","Wendong Yang","Xinrong Guan","Xiao Zhao","Guoxin Li","Qingqing Wu"],"tags":["eess.SP","cs.IT"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2022-01-14T01:35:47Z","addedAt":"2026-08-06T22:48:52.794Z"},{"id":"arxiv:2411.06136v1","name":"Decentralized Semantic Communication and Cooperative Tracking Control for a UAV Swarm over Wireless MIMO Fading Channels","source":"arxiv","abstract":"This paper investigates the semantic communication and cooperative tracking control for an UAV swarm comprising a leader UAV and a group of follower UAVs, all interconnected via unreliable wireless multiple-input-multiple-output (MIMO) channels. Initially, we develop a dynamic model for the UAV swarm that accounts for both the internal interactions among the cooperative follower UAVs and the imperfections inherent in the MIMO channels that interlink the leader and follower UAVs. Building on this model, we incorporate the power costs of the UAVs and formulate the communication and cooperative tracking control challenge as a drift-plus-penalty optimization problem. We then derive a closed-form optimal solution that maintains a decentralized semantic architecture, dynamically adjusting to the tracking error costs and local channel conditions within the swarm. Employing Lyapunov drift analysis, we establish closed-form sufficient conditions for the stabilization of the UAV swarm's tracking performance. Numerical results demonstrate the significant enhancements in our proposed scheme over various state-of-the-art methods.","url":"https://arxiv.org/abs/2411.06136v1","authors":["Minjie Tang","Chenyuan Feng","Tony Q. S. Quek"],"tags":["eess.SP","eess.SY"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2024-11-09T10:20:49Z","addedAt":"2026-08-06T22:48:52.794Z"},{"id":"arxiv:2504.13570v1","name":"Integrated Super-resolution Sensing and Symbiotic Communication with 3D Sparse MIMO for Low-Altitude UAV Swarm","source":"arxiv","abstract":"Low-altitude unmanned aerial vehicle (UAV) swarms are expected to play important role for future intelligent aerial systems due to their great potential to cooperatively accomplish complicated missions effectively. However, there are important challenges to be addressed to enable their efficient operation: the large-scale nature of swarms usually leads to excessive spectrum consumption, and ultra-low cost requirements for individual UAVs renders it necessary to develop more cost-effective communication modules. In addition, the densely located swarm UAVs require high resolution for localization and sensing. To address the above challenges and simultaneously achieve spectrum and energy-efficient communication and accurate sensing, we investigate low-altitude UAV swarm with integrated super-resolution sensing and symbiotic communication technology. Specifically, one leading UAV may act as a primary transmitter (PT) to transmit communication signals to the base station (BS), and the remaining nearby UAVs in the swarm act as passive backscatter devices (BDs), which can modulate their information by efficiently backscattering the radio frequency (RF) signals from the PT without consuming extra spectrum or power. In addition, to achieve efficient three-dimensional (3D) super-resolution sensing for the densely located UAV swarm, 3D sparse multiple-input multiple-output (MIMO) technology and super-resolution signal processing algorithms are further exploited, where both L-shaped nested array (LNA) and planar nested arrays (PNA) are considered at the BS. To evaluate the communication and sensing performance for the UAV-symbiotic radio (SR) system, the achievable rates of UAV swarm are derived and the beam patterns of sparse LNA, PNA and the benchmarking compact uniform planar array (UPA) are compared.","url":"https://arxiv.org/abs/2504.13570v1","authors":["Jingran Xu","Hongqi Min","Yong Zeng"],"tags":["eess.SP"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2025-04-18T09:12:33Z","addedAt":"2026-08-06T22:48:52.794Z"},{"id":"arxiv:2409.17798v1","name":"Swarm-LIO2: Decentralized, Efficient LiDAR-inertial Odometry for UAV Swarms","source":"arxiv","abstract":"Aerial swarm systems possess immense potential in various aspects, such as cooperative exploration, target tracking, search and rescue. Efficient, accurate self and mutual state estimation are the critical preconditions for completing these swarm tasks, which remain challenging research topics. This paper proposes Swarm-LIO2: a fully decentralized, plug-and-play, computationally efficient, and bandwidth-efficient LiDAR-inertial odometry for aerial swarm systems. Swarm-LIO2 uses a decentralized, plug-and-play network as the communication infrastructure. Only bandwidth-efficient and low-dimensional information is exchanged, including identity, ego-state, mutual observation measurements, and global extrinsic transformations. To support the plug-and-play of new teammate participants, Swarm-LIO2 detects potential teammate UAVs and initializes the temporal offset and global extrinsic transformation all automatically. To enhance the initialization efficiency, novel reflectivity-based UAV detection, trajectory matching, and factor graph optimization methods are proposed. For state estimation, Swarm-LIO2 fuses LiDAR, IMU, and mutual observation measurements within an efficient ESIKF framework, with careful compensation of temporal delay and modeling of measurements to enhance the accuracy and consistency.","url":"https://arxiv.org/abs/2409.17798v1","authors":["Fangcheng Zhu","Yunfan Ren","Longji Yin","Fanze Kong","Qingbo Liu","Ruize Xue","Wenyi Liu","Yixi Cai","Guozheng Lu","Haotian Li","Fu Zhang"],"tags":["cs.RO"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2024-09-26T12:47:36Z","addedAt":"2026-08-06T22:48:52.794Z"},{"id":"arxiv:2108.02406v2","name":"IRS-Aided Energy Efficient UAV Communication","source":"arxiv","abstract":"Unmanned aerial vehicles (UAVs) have steadily gained attention to overcome the harsh propagation loss and blockage issue of millimeter-wave communication. However, UAV communication systems suffer from energy consumption, which limits the flying time of UAVs. In this paper, we propose several UAV energy consumption minimization techniques through the aid of multiple intelligent reflecting surfaces (IRSs). In specific, we introduce a tractable model to effectively capture the characteristics of multiple IRSs and multiple user equipments (UEs). Then, we derive a closed form expression for the UE achievable rate, resulting in tractable optimization problems. Accordingly, we effectively solve the optimization problems by adopting the successive convex approximation technique. To compensate for the high complexity of the optimization problems, we propose a low complexity algorithm that has marginal performance loss. In the numerical results, we show that the proposed algorithms can save UAV energy consumption significantly compared to the benchmark with no IRSs, justifying that exploiting the IRSs is indeed favorable to UAV energy consumption minimization.","url":"https://arxiv.org/abs/2108.02406v2","authors":["Hyesang Cho","Junil Choi"],"tags":["cs.IT","eess.SP"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2021-08-05T06:54:42Z","addedAt":"2026-08-06T22:48:52.794Z"},{"id":"arxiv:1810.10839v1","name":"Exploiting NOMA for Multi-Beam UAV Communication in Cellular Uplink","source":"arxiv","abstract":"Unmanned aerial vehicles (UAVs) are expected to be an important new class of users in the fifth generation (5G) and beyond 5G cellular networks. In particular, there are emerging UAV applications such as aerial photograph and data relaying that require high-speed communications between the UAVs and the ground base stations (GBSs). Due to the high UAV altitude, the strong line-of-sight (LoS) links generally dominate the channels between the UAVs and GBSs, which brings both opportunities and challenges in the design of future wireless networks supporting both terrestrial and aerial users. Although each UAV can associate with more GBSs for communication as compared to terrestrial users thanks to the LoS-dominant channels, it also causes/suffers more severe interference to/from the terrestrial communications in the uplink/downlink. This paper studies the uplink communication from a multi-antenna UAV to a set of GBSs within its signal coverage by considering a practical yet challenging scenario when the number of antennas at the UAV is smaller than that of co-channel GBSs. To achieve high-rate transmission yet avoid interfering with any of the existing terrestrial communications at the co-channel GBSs, we propose a novel multi-beam transmission strategy by exploiting the non-orthogonal multiple access (NOMA) technique. Specifically, the UAV sends each data stream to a selected subset of the GBSs, which can decode the UAV's signals and then cancel them before decoding the messages of their served terrestrial users, and in the meanwhile nulls its interference at the other GBSs via zero-forcing (ZF) beamforming. To draw essential insight, we first characterize in closed-form the degrees-of-freedom (DoF) under the proposed strategy. Then, we propose an efficient algorithm to maximize the UAV's transmit rate subject to the interference avoidance constraints for protecting the terrestrial users.","url":"https://arxiv.org/abs/1810.10839v1","authors":["Liang Liu","Shuowen Zhang","Rui Zhang"],"tags":["cs.IT"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2018-10-25T12:05:15Z","addedAt":"2026-08-06T22:48:52.794Z"},{"id":"arxiv:2607.20710v1","name":"Decentralized UAV Swarms for Ground Target Protection in GPS- and Communication-Denied Environments","source":"arxiv","abstract":"The presence of UAVs in military operations has recently increased, also increasing the demand for defense systems against UAV attacks. UAVs can also be used as countermeasures. Most available methods rely on UAV-to-UAV communication and global positioning. However, such resources may not be available in modern warfare scenarios. To address these limitations, we propose a pipeline for ground-target protection against UAV attacks that employs autonomous swarms of UAVs. We assume a communication- and GPS-denied environment in which the UAVs use onboard sensors to track the target and coordinate as a swarm. We developed Kalman filters to estimate the states of unknown targets and the positions of UAVs in the swarm using only relative measurements. Also, our strategy is to encircle the target of interest to maximize coverage. To achieve that, we propose a decentralized swarm encirclement technique that adapts to the target's motion. Our approach was extensively validated using real robots, demonstrating its effectiveness in detecting, encircling, and intercepting hostile UAVs.","url":"https://arxiv.org/abs/2607.20710v1","authors":["Dimitria Silveria","Paulo Ricardo Marques de Araujo","Tiago Nascimento","Sidney Givigi"],"tags":["cs.RO"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2026-07-22T20:26:07Z","addedAt":"2026-08-06T22:48:52.794Z"},{"id":"arxiv:2302.14587v1","name":"Decentralised construction of a global coordinate system in a large swarm of minimalistic robots","source":"arxiv","abstract":"Collective intelligence and autonomy of robot swarms can be improved by enabling the individual robots to become aware they are the constituent units of a larger whole and what is their role. In this study, we present an algorithm to enable positional self-awareness in a swarm of minimalistic error-prone robots which can only locally broadcast messages and estimate the distance from their neighbours. Despite being unable to measure the bearing of incoming messages, the robots running our algorithm can calculate their position within a swarm deployed in a regular formation. We show through experiments with up to 200 Kilobot robots that such positional self-awareness can be employed by the robots to create a shared coordinate system and dynamically self-assign location-dependent tasks. Our solution has fewer requirements than state-of-the-art algorithms and contains collective noise-filtering mechanisms. Therefore, it has an extended range of robotic platforms on which it can run. All robots are interchangeable, run the same code, and do not need any prior knowledge. Through our algorithm, robots reach collective synchronisation, and can autonomously become self-aware of the swarm's spatial configuration and their position within it.","url":"https://arxiv.org/abs/2302.14587v1","authors":["Michal Pluhacek","Simon Garnier","Andreagiovanni Reina"],"tags":["cs.RO","cs.AI"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2023-02-28T14:14:17Z","addedAt":"2026-08-06T22:48:52.794Z"},{"id":"arxiv:2303.10398v1","name":"Energy-Efficient Cellular-Connected UAV Swarm Control Optimization","source":"arxiv","abstract":"Cellular-connected unmanned aerial vehicle (UAV) swarm is a promising solution for diverse applications, including cargo delivery and traffic control. However, it is still challenging to communicate with and control the UAV swarm with high reliability, low latency, and high energy efficiency. In this paper, we propose a two-phase command and control (C&amp;C) transmission scheme in a cellular-connected UAV swarm network, where the ground base station (GBS) broadcasts the common C&amp;C message in Phase I. In Phase II, the UAVs that have successfully decoded the C&amp;C message will relay the message to the rest of UAVs via device-to-device (D2D) communications in either broadcast or unicast mode, under latency and energy constraints. To maximize the number of UAVs that receive the message successfully within the latency and energy constraints, we formulate the problem as a Constrained Markov Decision Process to find the optimal policy. To address this problem, we propose a decentralized constrained graph attention multi-agent Deep-Q-network (DCGA-MADQN) algorithm based on Lagrangian primal-dual policy optimization, where a PID-controller algorithm is utilized to update the Lagrange Multiplier. Simulation results show that our algorithm could maximize the number of UAVs that successfully receive the common C&amp;C under energy constraints.","url":"https://arxiv.org/abs/2303.10398v1","authors":["Yang Su","Hui Zhou","Yansha Deng","Mischa Dohler"],"tags":["cs.NI","cs.LG","cs.MA","eess.SP"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2023-03-18T11:42:04Z","addedAt":"2026-08-06T22:48:52.794Z"},{"id":"arxiv:2505.22286v4","name":"Wireless Communication for Low-Altitude Economy with UAV Swarm Enabled Two-Level Movable Antenna System","source":"arxiv","abstract":"Unmanned aerial vehicle (UAV) is regarded as a key enabling platform for low-altitude economy, due to its advantages such as 3D maneuverability, flexible deployment, and LoS air-to-air/ground communication links. In particular, the intrinsic high mobility renders UAV especially suitable for operating as a movable antenna (MA) from the sky. In this paper, by exploiting the flexible mobility of UAV swarm and antenna position adjustment of MA, we propose a novel UAV swarm enabled two-level MA system, where UAVs not only individually deploy a local MA array, but also form a larger-scale MA system with their individual MA arrays via swarm coordination. We formulate a general optimization problem to maximize the minimum achievable rate over all ground user equipments (UEs), by jointly optimizing the 3D UAV swarm placement positions, their individual MAs' positions, and receive beamforming for different UEs. To gain useful insights, we first consider the special case where each UAV has only one antenna, under different scenarios of one single UE, two UEs, and arbitrary number of UEs. In particular, for the two-UE case, we derive the optimal UAV swarm placement positions in closed-form that achieves IUI-free communication when the uniform plane wave (UPW) model holds, where the UAV swarm forms a uniform sparse array (USA) satisfying minimum safe distance constraint. While for the general case with arbitrary number of UEs, we propose an efficient alternating optimization algorithm to solve the formulated non-convex optimization problem. Then, we extend the results to the case where each UAV is equipped with multiple antennas. Numerical results verify that the proposed low-altitude UAV swarm enabled MA system significantly outperforms various benchmark schemes, thanks to the exploitation of two-level mobility to create more favorable channel conditions for multi-UE communications.","url":"https://arxiv.org/abs/2505.22286v4","authors":["Haiquan Lu","Yong Zeng","Shaodan Ma","Bin Li","Shi Jin","Rui Zhang"],"tags":["cs.IT","eess.SP"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2025-05-28T12:22:09Z","addedAt":"2026-08-06T22:48:52.794Z"},{"id":"arxiv:2405.11281v1","name":"Cooperative Cognitive Dynamic System in UAV Swarms: Reconfigurable Mechanism and Framework","source":"arxiv","abstract":"As the demands for immediate and effective responses increase in both civilian and military domains, the unmanned aerial vehicle (UAV) swarms emerge as effective solutions, in which multiple cooperative UAVs can work together to achieve specific goals. However, how to manage such complex systems to ensure real-time adaptability lack sufficient researches. Hence, in this paper, we propose the cooperative cognitive dynamic system (CCDS), to optimize the management for UAV swarms. CCDS leverages a hierarchical and cooperative control structure that enables real-time data processing and decision. Accordingly, CCDS optimizes the UAV swarm management via dynamic reconfigurability and adaptive intelligent optimization. In addition, CCDS can be integrated with the biomimetic mechanism to efficiently allocate tasks for UAV swarms. Further, the distributed coordination of CCDS ensures reliable and resilient control, thus enhancing the adaptability and robustness. Finally, the potential challenges and future directions are analyzed, to provide insights into managing UAV swarms in dynamic heterogeneous networking.","url":"https://arxiv.org/abs/2405.11281v1","authors":["Ziye Jia","Jiahao You","Chao Dong","Qihui Wu","Fuhui Zhou","Dusit Niyato","Zhu Han"],"tags":["cs.DC","cs.AI"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2024-05-18T12:45:00Z","addedAt":"2026-08-06T22:48:52.794Z"},{"id":"arxiv:2408.07286v1","name":"The Design of Autonomous UAV Prototypes for Inspecting Tunnel Construction Environment","source":"arxiv","abstract":"This article presents novel designs of autonomous UAV prototypes specifically developed for inspecting GPS-denied tunnel construction environments with dynamic human and robotic presence. Our UAVs integrate advanced sensor suites and robust motion planning algorithms to autonomously navigate and explore these complex environments. We validated our approach through comprehensive simulation experiments in PX4 Gazebo and Airsim Unreal Engine 4 environments. Real-world wind tests and exploration experiments demonstrate the UAVs' capability to operate stably under diverse environmental conditions without GPS assistance. This study highlights the practicality and resilience of our UAV prototypes in real-world applications.","url":"https://arxiv.org/abs/2408.07286v1","authors":["Yiping Dong"],"tags":["cs.RO","eess.SY"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2024-08-14T04:34:20Z","addedAt":"2026-08-06T22:48:52.794Z"},{"id":"arxiv:2604.21337v1","name":"PREVENT-JACK: Context Steering for Swarms of Long Heavy Articulated Vehicles","source":"arxiv","abstract":"In this paper, we aim to extend the traditional point-mass-like robot representation in swarm robotics and instead study a swarm of long Heavy Articulated Vehicles (HAVs). HAVs are kinematically constrained, elongated, and articulated, introducing unique challenges. Local, decentralized coordination of these vehicles is motivated by many real-world applications. Our approach, Prevent-Jack, introduces the sparsely covered context steering framework in robotics. It fuses six local behaviors, providing guarantees against jackknifing and collisions at the cost of potential dead- and livelocks, tested for vehicles with up to ten trailers. We highlight the importance of the Evade Attraction behavior for deadlock prevention using a parameter study, and use 15,000 simulations to evaluate the swarm performance. Our extensive experiments and the results show that both the dead- and livelocks occur more frequently in larger swarms and denser scenarios, affecting a peak average of 27%/31% of vehicles. We observe that larger swarms exhibit increased waiting, while smaller swarms show increased evasion.","url":"https://arxiv.org/abs/2604.21337v1","authors":["Adrian Baruck","Michael Dubé","Christoph Steup","Sanaz Mostaghim"],"tags":["cs.RO","cs.MA"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2026-04-23T06:50:00Z","addedAt":"2026-08-06T22:48:52.794Z"},{"id":"arxiv:2201.09528v1","name":"Robust Trajectory and Communication Design in IRS-Assisted UAV Communication under Malicious Jamming","source":"arxiv","abstract":"In this paper, we study an unmanned aerial vehicle (UAV) communication system, where a ground node (GN) communicate with a UAV assisted by intelligent reflecting surface (IRS) in the presence of a jammer with imperfect location information. We aim to improve the achievable average rate via the joint robust design of UAV trajectory, IRS passive beamforming and GN's power allocation. However, the formulated optimization problem is challenging to solve due to its non-convexity and coupled variables. To overcome the difficulty, we propose an alternating optimization (AO) based algorithm to solve it sub-optimally by leveraging semidefinite relaxation (SDR), successive convex approximation (SCA), and S-procedure methods. Simulation results show that by deploying the IRS near the GN, our proposed algorithm always improves the uplink achievable average rate significantly compared with the benchmark algorithms, while deploying the IRS nearby the jammer is effective only when the jammer's location is perfectly known.","url":"https://arxiv.org/abs/2201.09528v1","authors":["Zhi Ji","Xinrong Guan","Jia Tu","Qingqing Wu","Wendong Yang"],"tags":["cs.IT","eess.SP"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2022-01-24T08:44:58Z","addedAt":"2026-08-06T22:48:52.794Z"},{"id":"arxiv:2310.01980v1","name":"UAV Swarm-enabled Collaborative Secure Relay Communications with Time-domain Colluding Eavesdropper","source":"arxiv","abstract":"Unmanned aerial vehicles (UAVs) as aerial relays are practically appealing for assisting Internet of Things (IoT) network. In this work, we aim to utilize the UAV swarm to assist the secure communication between the micro base station (MBS) equipped with the planar array antenna (PAA) and the IoT terminal devices by collaborative beamforming (CB), so as to counteract the effects of collusive eavesdropping attacks in time-domain. Specifically, we formulate a UAV swarm-enabled secure relay multi-objective optimization problem (US2RMOP) for simultaneously maximizing the achievable sum rate of associated IoT terminal devices, minimizing the achievable sum rate of the eavesdropper and minimizing the energy consumption of UAV swarm, by jointly optimizing the excitation current weights of both MBS and UAV swarm, the selection of the UAV receiver, the position of UAVs and user association order of IoT terminal devices. Furthermore, the formulated US2RMOP is proved to be a non-convex, NP-hard and large-scale optimization problem. Therefore, we propose an improved multi-objective grasshopper algorithm (IMOGOA) with some specific designs to address the problem. Simulation results exhibit the effectiveness of the proposed UAV swarm-enabled collaborative secure relay strategy and demonstrate the superiority of IMOGOA.","url":"https://arxiv.org/abs/2310.01980v1","authors":["Chuang Zhang","Geng Sun","Qingqing Wu","Jiahui Li","Shuang Liang","Dusit Niyato","Victor C. M. Leung"],"tags":["cs.NI","cs.NE"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2023-10-03T11:47:01Z","addedAt":"2026-08-06T22:48:52.794Z"},{"id":"arxiv:2509.04412v1","name":"Relative Localization of UAV Swarms in GNSS-Denied Conditions","source":"arxiv","abstract":"Relative localization of unmanned aerial vehicle (UAV) swarms in global navigation satellite system (GNSS) denied environments is essential for emergency rescue and battlefield reconnaissance. Existing methods suffer from significant localization errors among UAVs due to packet loss and high computational complexity in large swarms. This paper proposes a clustering-based framework where the UAVs simultaneously use communication signals for channel estimation and ranging. Firstly, the spectral clustering is utilized to divide the UAV swarm into different sub-clusters, where matrix completion and multidimensional scaling yield high-precision relative coordinates. Subsequently, a global map is created by the inter-cluster anchor fusion. A case study of UAV integrated communication and sensing (ISAC) system is presented, where the Orthogonal Time Frequency Space (OTFS) is adopted for ranging and communication. Experimental results show that the proposed method reduces localization errors in large swarms and loss of range information. It also explores the impact of signal parameters on communication and localization, highlighting the interplay between communication and localization performance.","url":"https://arxiv.org/abs/2509.04412v1","authors":["Guangyu Lei","Yuqi Ping","Tianhao Liang","Huahao Ding","Tingting Zhang"],"tags":["eess.SP","eess.SY"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2025-09-04T17:34:29Z","addedAt":"2026-08-06T22:48:52.794Z"},{"id":"arxiv:2308.07077v1","name":"Distributed UAV Swarm Augmented Wideband Spectrum Sensing Using Nyquist Folding Receiver","source":"arxiv","abstract":"Distributed unmanned aerial vehicle (UAV) swarms are formed by multiple UAVs with increased portability, higher levels of sensing capabilities, and more powerful autonomy. These features make them attractive for many recent applica-tions, potentially increasing the shortage of spectrum resources. In this paper, wideband spectrum sensing augmented technology is discussed for distributed UAV swarms to improve the utilization of spectrum. However, the sub-Nyquist sampling applied in existing schemes has high hardware complexity, power consumption, and low recovery efficiency for non-strictly sparse conditions. Thus, the Nyquist folding receiver (NYFR) is considered for the distributed UAV swarms, which can theoretically achieve full-band spectrum detection and reception using a single analog-to-digital converter (ADC) at low speed for all circuit components. There is a focus on the sensing model of two multichannel scenarios for the distributed UAV swarms, one with a complete functional receiver for the UAV swarm with RIS, and another with a decentralized UAV swarm equipped with a complete functional receiver for each UAV element. The key issue is to consider whether the application of RIS technology will bring advantages to spectrum sensing and the data fusion problem of decentralized UAV swarms based on the NYFR architecture. Therefore, the property for multiple pulse reconstruction is analyzed through the Gershgorin circle theorem, especially for very short pulses. Further, the block sparse recovery property is analyzed for wide bandwidth signals. The proposed technology can improve the processing capability for multiple signals and wide bandwidth signals while reducing interference from folded noise and subsampled harmonics. Experiment results show augmented spectrum sensing efficiency under non-strictly sparse conditions.","url":"https://arxiv.org/abs/2308.07077v1","authors":["Kaili Jiang","Kailun Tian","Hancong Feng","Yuxin Zhao","Dechang Wang","Sen Cao","Jian Gao","Xuying Zhang","Yanfei Li","Junyu Yuan","Ying Xiong","Bin Tang"],"tags":["eess.SP"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2023-08-14T11:21:00Z","addedAt":"2026-08-06T22:48:52.794Z"},{"id":"arxiv:2003.05853v3","name":"Onboard Ranging-based Relative Localization and Stability for Lightweight Aerial Swarms","source":"arxiv","abstract":"Lightweight aerial swarms have potential applications in scenarios where larger drones fail to operate efficiently. The primary foundation for lightweight aerial swarms is efficient relative localization, which enables cooperation and collision avoidance. Computing the real-time position is challenging due to extreme resource constraints. This paper presents an autonomous relative localization technique for lightweight aerial swarms without infrastructure by fusing ultra-wideband wireless distance measurements and the shared state information (e.g., velocity, yaw rate, height) from neighbors. This is the first fully autonomous, tiny, fast, and accurate relative localization scheme implemented on a team of 13 lightweight (33 grams) and resource-constrained (168MHz MCU with 192 KB memory) aerial vehicles. The proposed resource-constrained swarm ranging protocol is scalable, and a surprising theoretical result is discovered: the unobservability poses no issues because the state drift leads to control actions that make the state observable again. By experiment, less than 0.2m position error is achieved at the frequency of 16Hz for as many as 13 drones. The code is open-sourced, and the proposed technique is relevant not only for tiny drones but can be readily applied to many other resource-restricted robots. Video and code can be found at \\textnormal{\\url{https://shushuai3.github.io/autonomous-swarm/}}.","url":"https://arxiv.org/abs/2003.05853v3","authors":["Shushuai Li","Feng Shan","Jiangpeng Liu","Mario Coppola","Christophe de Wagter","Guido C. H. E. de Croon"],"tags":["cs.RO","cs.MA"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2020-03-12T15:34:35Z","addedAt":"2026-08-06T22:48:52.794Z"},{"id":"arxiv:2108.10748v1","name":"Federated Learning for UAV Swarms Under Class Imbalance and Power Consumption Constraints","source":"arxiv","abstract":"The usage of unmanned aerial vehicles (UAVs) in civil and military applications continues to increase due to the numerous advantages that they provide over conventional approaches. Despite the abundance of such advantages, it is imperative to investigate the performance of UAV utilization while considering their design limitations. This paper investigates the deployment of UAV swarms when each UAV carries a machine learning classification task. To avoid data exchange with ground-based processing nodes, a federated learning approach is adopted between a UAV leader and the swarm members to improve the local learning model while avoiding excessive air-to-ground and ground-to-air communications. Moreover, the proposed deployment framework considers the stringent energy constraints of UAVs and the problem of class imbalance, where we show that considering these design parameters significantly improves the performances of the UAV swarm in terms of classification accuracy, energy consumption and availability of UAVs when compared with several baseline algorithms.","url":"https://arxiv.org/abs/2108.10748v1","authors":["Ilyes Mrad","Lutfi Samara","Alaa Awad Abdellatif","Abubakr Al-Abbasi","Ridha Hamila","Aiman Erbad"],"tags":["cs.LG","eess.SP"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2021-08-23T16:10:14Z","addedAt":"2026-08-06T22:48:52.794Z"},{"id":"arxiv:2002.08196v2","name":"Federated Learning in the Sky: Joint Power Allocation and Scheduling with UAV Swarms","source":"arxiv","abstract":"Unmanned aerial vehicle (UAV) swarms must exploit machine learning (ML) in order to execute various tasks ranging from coordinated trajectory planning to cooperative target recognition. However, due to the lack of continuous connections between the UAV swarm and ground base stations (BSs), using centralized ML will be challenging, particularly when dealing with a large volume of data. In this paper, a novel framework is proposed to implement distributed federated learning (FL) algorithms within a UAV swarm that consists of a leading UAV and several following UAVs. Each following UAV trains a local FL model based on its collected data and then sends this trained local model to the leading UAV who will aggregate the received models, generate a global FL model, and transmit it to followers over the intra-swarm network. To identify how wireless factors, like fading, transmission delay, and UAV antenna angle deviations resulting from wind and mechanical vibrations, impact the performance of FL, a rigorous convergence analysis for FL is performed. Then, a joint power allocation and scheduling design is proposed to optimize the convergence rate of FL while taking into account the energy consumption during convergence and the delay requirement imposed by the swarm's control system. Simulation results validate the effectiveness of the FL convergence analysis and show that the joint design strategy can reduce the number of communication rounds needed for convergence by as much as 35% compared with the baseline design.","url":"https://arxiv.org/abs/2002.08196v2","authors":["Tengchan Zeng","Omid Semiari","Mohammad Mozaffari","Mingzhe Chen","Walid Saad","Mehdi Bennis"],"tags":["cs.LG","cs.IT","cs.RO","eess.SP","stat.ML"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2020-02-19T14:04:01Z","addedAt":"2026-08-06T22:48:52.794Z"},{"id":"arxiv:2607.16193v1","name":"Knowing the Self, Understanding the World: A Dual-Cognition Benchmark for UAV Spatio-temporal Reasoning with MLLMs","source":"arxiv","abstract":"Multimodal large language models have achieved strong performance across diverse vision-language tasks, yet their capabilities in UAV scenarios remain insufficiently explored. Recent UAV-oriented benchmarks have begun to evaluate MLLMs in aerial scenarios, but they typically focus on scene understanding, event recognition, or navigation completion, rather than jointly assessing the dual-cognition capability required for UAV agents: reasoning about both the UAV's own state and the external environment in multiview spatio-temporal contexts. To address this gap, we present UAV-DualCog, a benchmark for aerial multiview spatio-temporal reasoning built on this dual-cognition perspective. UAV-DualCog includes both image and video tasks to jointly evaluate self-state and environment-state reasoning, while requiring spatial or temporal grounding beyond discrete answer prediction. We also develop an automated pipeline that constructs data from scene-level semantic point clouds, yielding a scalable benchmark with diverse scenes, hundreds of landmarks, and thousands of QA samples. Extensive evaluations show that current MLLMs remain far from reliable in UAV dual cognition. Self-state reasoning, viewpoint transformation, precise spatial grounding, and temporal interval localization are persistent bottlenecks, and additional validation with thinking/frontier models and a human baseline confirms that the benchmark is understandable to humans but challenging for existing models. We further construct UAV-DualCog-Train from disjoint scenes and show through a lightweight optimization probe that it provides useful structured supervision, suggesting its value not only as an evaluation benchmark but also as a data resource for advancing MLLM-based UAV agents. Project website and supplementary materials: https://uav-dualcog.lozumi.com","url":"https://arxiv.org/abs/2607.16193v1","authors":["Like Liu","Zhengzheng Xu","Haitao He","Hongzhe Li","Shuchang Zhang","Dian Shao"],"tags":["cs.CV"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2026-07-17T17:59:56Z","addedAt":"2026-08-06T22:48:52.794Z"},{"id":"arxiv:2007.11869v2","name":"An Experimental mmWave Channel Model for UAV-to-UAV Communications","source":"arxiv","abstract":"Unmanned Aerial Vehicle (UAV) networks can provide a resilient communication infrastructure to enhance terrestrial networks in case of traffic spikes or disaster scenarios. However, to be able to do so, they need to be based on high-bandwidth wireless technologies for both radio access and backhaul. With this respect, the millimeter wave (mmWave) spectrum represents an enticing solution, since it provides large chunks of untapped spectrum that can enable ultra-high data-rates for aerial platforms. Aerial mmWave channels, however, experience characteristics that are significantly different from terrestrial deployments in the same frequency bands. As of today, mmWave aerial channels have not been extensively studied and modeled. Specifically, the combination of UAV micro-mobility (because of imprecisions in the control loop, and external factors including wind) and the highly directional mmWave transmissions require ad hoc models to accurately capture the performance of UAV deployments. To fill this gap, we propose an empirical propagation loss model for UAV-to-UAV communications at 60 GHz, based on an extensive aerial measurement campaign conducted with the Facebook Terragraph channel sounders. We compare it with 3GPP channel models and make the measurement dataset publicly available.","url":"https://arxiv.org/abs/2007.11869v2","authors":["Michele Polese","Lorenzo Bertizzolo","Leonardo Bonati","Abhimanyu Gosain","Tommaso Melodia"],"tags":["cs.NI","eess.SP"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2020-07-23T09:15:04Z","addedAt":"2026-08-06T22:48:52.794Z"},{"id":"arxiv:2206.08669v3","name":"VG-Swarm: A Vision-based Gene Regulation Network for UAVs Swarm Behavior Emergence","source":"arxiv","abstract":"Unmanned Aerial Vehicles (UAVs) dynamic encirclement is an emerging field with great potential. Researchers often get inspiration from biological systems, either from macro-world like fish schools or bird flocks etc, or from micro-world like gene regulatory networks (GRN). However, most swarm control algorithms rely on centralized control, global information acquisition, and communications among neighboring agents. In this work, we propose a distributed swarm control method based purely on vision and GRN without any direct communications, in which swarm agents of e.g. UAVs can generate an entrapping pattern to encircle an escaping target of UAV based purely on their installed omnidirectional vision sensors. A finite-state-machine (FSM) describing the behavioral model of each drone is also designed so that a swarm of drones can accomplish searching and entrapping of the target collectively in an integrated way. We verify the effectiveness and efficiency of the proposed method in various simulation and real-world experiments.","url":"https://arxiv.org/abs/2206.08669v3","authors":["Yuwei Cai","Huanlin Li","Zhun Fan","Juncao Hong","Peng Xu","Hui Cheng","Xiaomi Zhu","Bingliang Hu","Zhifeng Hao"],"tags":["cs.RO"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2022-06-17T10:13:56Z","addedAt":"2026-08-06T22:48:52.794Z"},{"id":"arxiv:2108.02889v1","name":"RIS-assisted UAV Communications for IoT with Wireless Power Transfer Using Deep Reinforcement Learning","source":"arxiv","abstract":"Many of the devices used in Internet-of-Things (IoT) applications are energy-limited, and thus supplying energy while maintaining seamless connectivity for IoT devices is of considerable importance. In this context, we propose a simultaneous wireless power transfer and information transmission scheme for IoT devices with support from reconfigurable intelligent surface (RIS)-aided unmanned aerial vehicle (UAV) communications. In particular, in a first phase, IoT devices harvest energy from the UAV through wireless power transfer; and then in a second phase, the UAV collects data from the IoT devices through information transmission. To characterise the agility of the UAV, we consider two scenarios: a hovering UAV and a mobile UAV. Aiming at maximizing the total network sum-rate, we jointly optimize the trajectory of the UAV, the energy harvesting scheduling of IoT devices, and the phaseshift matrix of the RIS. We formulate a Markov decision process and propose two deep reinforcement learning algorithms to solve the optimization problem of maximizing the total network sum-rate. Numerical results illustrate the effectiveness of the UAV's flying path optimization and the network's throughput of our proposed techniques compared with other benchmark schemes. Given the strict requirements of the RIS and UAV, the significant improvement in processing time and throughput performance demonstrates that our proposed scheme is well applicable for practical IoT applications.","url":"https://arxiv.org/abs/2108.02889v1","authors":["Khoi Khac Nguyen","Antonino Masaracchia","Tan Do-Duy","H. Vincent Poor","Trung Q. Duong"],"tags":["eess.SP","cs.GT","cs.LG"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2021-08-05T23:55:44Z","addedAt":"2026-08-06T22:48:52.794Z"},{"id":"arxiv:2007.01228v4","name":"MAESTRO-X: Distributed Orchestration of Rotary-Wing UAV-Relay Swarms","source":"arxiv","abstract":"This work details a scalable framework to orchestrate a swarm of rotary-wing UAVs serving as cellular relays to facilitate beyond line-of-sight connectivity and traffic offloading for ground users. First, a Multiscale Adaptive Energy-conscious Scheduling and TRajectory Optimization (MAESTRO) framework is developed for a single UAV. Aiming to minimize the time-averaged latency to serve user requests, subject to an average UAV power constraint, it is shown that the optimization problem can be cast as a semi-Markov decision process, and exhibits a multiscale structure: outer actions on radial wait velocities and terminal service positions minimize the long-term delay-power trade-off, optimized via value iteration; given these outer actions, inner actions on angular wait velocities and service trajectories minimize a short-term delay-energy cost. A novel hierarchical competitive swarm optimization scheme is developed in the inner optimization, to devise high-resolution trajectories via iterative pair-wise updates. Next, MAESTRO is eXtended to UAV swarms (MAESTRO-X) via scalable policy replication: enabled by a decentralized command-and-control network, the optimal single-agent policy is augmented with spread maximization, consensus-driven conflict resolution, adaptive frequency reuse, and piggybacking. Numerical evaluations show that, for user requests of 10 Mbits, generated according to a Poisson arrival process with rate 0.2 req/min/UAV, single-agent MAESTRO offers 3.8x faster service than a high-altitude platform and 29% faster than a static UAV deployment; moreover, for a swarm of 3 UAV-relays, MAESTRO-X delivers data payloads 4.7x faster than a successive convex approximation scheme; and remarkably, a single UAV optimized via MAESTRO outclasses 3 UAVs optimized via a deep-Q network by 38%.","url":"https://arxiv.org/abs/2007.01228v4","authors":["Bharath Keshavamurthy","Matthew Bliss","Nicolò Michelusi"],"tags":["cs.IT","eess.SP"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2020-07-02T16:20:46Z","addedAt":"2026-08-06T22:48:52.794Z"},{"id":"arxiv:2312.03787v1","name":"Detection and Mitigation of Position Spoofing Attacks on Cooperative UAV Swarm Formations","source":"arxiv","abstract":"Detecting spoofing attacks on the positions of unmanned aerial vehicles (UAVs) within a swarm is challenging. Traditional methods relying solely on individually reported positions and pairwise distance measurements are ineffective in identifying the misbehavior of malicious UAVs. This paper presents a novel systematic structure designed to detect and mitigate spoofing attacks in UAV swarms. We formulate the problem of detecting malicious UAVs as a localization feasibility problem, leveraging the reported positions and distance measurements. To address this problem, we develop a semidefinite relaxation (SDR) approach, which reformulates the non-convex localization problem into a convex and tractable semidefinite program (SDP). Additionally, we propose two innovative algorithms that leverage the proximity of neighboring UAVs to identify malicious UAVs effectively. Simulations demonstrate the superior performance of our proposed approaches compared to existing benchmarks. Our methods exhibit robustness across various swarm networks, showcasing their effectiveness in detecting and mitigating spoofing attacks. {\\blue Specifically, the detection success rate is improved by up to 65\\%, 55\\%, and 51\\% against distributed, collusion, and mixed attacks, respectively, compared to the benchmarks.","url":"https://arxiv.org/abs/2312.03787v1","authors":["Siguo Bi","Kai Li","Shuyan Hu","Wei Ni","Cong Wang","Xin Wang"],"tags":["eess.SY"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2023-12-06T11:09:24Z","addedAt":"2026-08-06T22:48:52.794Z"},{"id":"arxiv:2301.00912v1","name":"Distributed Machine Learning for UAV Swarms: Computing, Sensing, and Semantics","source":"arxiv","abstract":"Unmanned aerial vehicle (UAV) swarms are considered as a promising technique for next-generation communication networks due to their flexibility, mobility, low cost, and the ability to collaboratively and autonomously provide services. Distributed learning (DL) enables UAV swarms to intelligently provide communication services, multi-directional remote surveillance, and target tracking. In this survey, we first introduce several popular DL algorithms such as federated learning (FL), multi-agent Reinforcement Learning (MARL), distributed inference, and split learning, and present a comprehensive overview of their applications for UAV swarms, such as trajectory design, power control, wireless resource allocation, user assignment, perception, and satellite communications. Then, we present several state-of-the-art applications of UAV swarms in wireless communication systems, such us reconfigurable intelligent surface (RIS), virtual reality (VR), semantic communications, and discuss the problems and challenges that DL-enabled UAV swarms can solve in these applications. Finally, we describe open problems of using DL in UAV swarms and future research directions of DL enabled UAV swarms. In summary, this survey provides a comprehensive survey of various DL applications for UAV swarms in extensive scenarios.","url":"https://arxiv.org/abs/2301.00912v1","authors":["Yahao Ding","Zhaohui Yang","Quoc-Viet Pham","Zhaoyang Zhang","Mohammad Shikh-Bahaei"],"tags":["cs.LG","cs.AI"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2023-01-03T01:05:18Z","addedAt":"2026-08-06T22:48:52.794Z"},{"id":"arxiv:1602.03654v1","name":"Enabling UAV Cellular with Millimeter-Wave Communication: Potentials and Approaches","source":"arxiv","abstract":"To support high data rate urgent or ad hoc communications, we consider mmWave UAV cellular networks and the associated challenges and solutions. To enable fast beamforming training and tracking, we first investigate a hierarchical structure of beamforming codebooks and design of hierarchical codebooks with different beam widths via the sub-array techniques. We next examine the Doppler effect as a result of UAV movement and find that the Doppler effect may not be catastrophic when high gain directional transmission is used. We further explore the use of millimeter wave spatial division multiple access and demonstrate its clear advantage in improving the cellular network capacity. We also explore different ways of dealing with signal blockage and point out that possible adaptive UAV cruising algorithms would be necessary to counteract signal blockage. Finally, we identify a close relationship between UAV positioning and directional millimeter wave user discovery, where update of the former may directly impact the latter and vice versa.","url":"https://arxiv.org/abs/1602.03654v1","authors":["Zhenyu Xiao","Pengfei Xia","Xiang-Gen Xia"],"tags":["cs.IT"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2016-02-11T09:46:32Z","addedAt":"2026-08-06T22:48:52.794Z"},{"id":"arxiv:2601.12939v1","name":"Active Inference-Driven World Modeling for Adaptive UAV Swarm Trajectory Design","source":"arxiv","abstract":"This paper proposes an Active Inference-based framework for autonomous trajectory design in UAV swarms. The method integrates probabilistic reasoning and self-learning to enable distributed mission allocation, route ordering, and motion planning. Expert trajectories generated using a Genetic Algorithm with Repulsion Forces (GA-RF) are employed to train a hierarchical World Model capturing swarm behavior across mission, route, and motion levels. During online operation, UAVs infer actions by minimizing divergence between current beliefs and model-predicted states, enabling adaptive responses to dynamic environments. Simulation results show faster convergence, higher stability, and safer navigation than Q-Learning, demonstrating the scalability and cognitive grounding of the proposed framework for intelligent UAV swarm control.","url":"https://arxiv.org/abs/2601.12939v1","authors":["Kaleem Arshid","Ali Krayani","Lucio Marcenaro","David Martin Gomez","Carlo Regazzoni"],"tags":["cs.RO","cs.AI","eess.SP"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2026-01-19T10:47:26Z","addedAt":"2026-08-06T22:48:52.794Z"},{"id":"arxiv:2308.00102v1","name":"Can A Single Human Supervise A Swarm of 100 Heterogeneous Robots?","source":"arxiv","abstract":"An open research question has been whether a single human can supervise a true heterogeneous swarm of robots completing tasks in real world environments. A general concern is whether or not the human's workload will be taxed to the breaking point. The Defense Advanced Research Projects Agency's OFFsensive Swarm-Enabled Tactics program's field exercises that occurred at U.S. Army urban training sites provided the opportunity to understand the impact of achieving such swarm deployments. The Command and Control of Aggregate Swarm Tactics integrator team's swarm commander users the heterogeneous robot swarm to conduct relevant missions. During the final OFFSET program field exercise, the team collected objective and subjective metrics related to teh swarm commander's human performance. A multi-dimensional workload algorithm that estimates overall workload based on five components of workload was used to analyze the results. While the swarm commander's workload estimate did cross the overload threshold frequently, the swarm commander was able to successfully complete the missions, often under challenging operational conditions. The presented results demonstrate that a single human can deploy a swarm of 100 heterogeneous robots to conduct real-world missions.","url":"https://arxiv.org/abs/2308.00102v1","authors":["Julie A. Adams","Joshua Hamell","Phillip Walker"],"tags":["cs.RO","cs.AI","cs.HC"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2023-07-31T19:24:00Z","addedAt":"2026-08-06T22:48:52.794Z"},{"id":"arxiv:1903.11221v2","name":"Energy-saving deployment algorithms of UAV swarm for sustainable wireless coverage","source":"arxiv","abstract":"Recent years have witnessed increasingly more uses of Unmanned Aerial Vehicle (UAV) swarms for rapidly providing wireless coverage to ground users. Each UAV is constrained in its energy storage and wireless coverage, and it consumes most energy when flying to the top of the target area, leaving limited leftover energy for hovering at its deployed position and keeping wireless coverage. The literature largely overlooks this sustainability issue of deploying UAV swarm deployment, and we aim to maximize the minimum leftover energy storage among all the UAVs after their deployment. Our new energy-saving deployment problem captures that each UAV's wireless coverage is adjustable by its service altitude, and also takes the no-fly-zone (NFZ) constraint into account. Despite of this, we propose an optimal energy-saving deployment algorithm by jointly balancing heterogeneous UAVs' flying distances on the ground and final service altitudes in the sky. We show that a UAV with larger initial energy storage in the UAV swarm should be deployed further away from the UAV station. Moreover, when $n$ homogeneous UAVs are dispatched from different initial locations, we first prove that any two UAVs of the same initial energy storage will not fly across each other, and then design an approximation algorithm of complexity $n \\log \\frac{1}ε$ to arbitrarily approach the optimum with error $ε$. Finally, we consider that UAVs may have different initial energy storages, and we prove this problem is NP-hard. Despite of this, we successfully propose a heuristic algorithm to solve it by balancing the efficiency and computation complexity well.","url":"https://arxiv.org/abs/1903.11221v2","authors":["Xiao Zhang","Lingjie Duan"],"tags":["cs.NI"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2019-03-27T01:55:58Z","addedAt":"2026-08-06T22:48:52.794Z"},{"id":"arxiv:2301.12766v3","name":"GPS-Spoofing Attack Detection Mechanism for UAV Swarms","source":"arxiv","abstract":"Recently autonomous and semi-autonomous Unmanned Aerial Vehicle (UAV) swarms started to receive a lot of research interest and demand from various civil application fields. However, for successful mission execution, UAV swarms require Global navigation satellite system signals and in particular, Global Positioning System (GPS) signals for navigation. Unfortunately, civil GPS signals are unencrypted and unauthenticated, which facilitates the execution of GPS spoofing attacks. During these attacks, adversaries mimic the authentic GPS signal and broadcast it to the targeted UAV in order to change its course, and force it to land or crash. In this study, we propose a GPS spoofing detection mechanism capable of detecting single-transmitter and multi-transmitter GPS spoofing attacks to prevent the outcomes mentioned above. Our detection mechanism is based on comparing the distance between each two swarm members calculated from their GPS coordinates to the distance acquired from Impulse Radio Ultra-Wideband ranging between the same swarm members. If the difference in distances is larger than a chosen threshold the GPS spoofing attack is declared detected.","url":"https://arxiv.org/abs/2301.12766v3","authors":["Pavlo Mykytyn","Marcin Brzozowski","Zoya Dyka","Peter Langendoerfer"],"tags":["cs.CR"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2023-01-30T10:26:52Z","addedAt":"2026-08-06T22:48:52.794Z"},{"id":"arxiv:2605.21686v1","name":"Distributed Multi-Coverage for Robot Swarms","source":"arxiv","abstract":"Autonomous drone swarms deployed for surveillance, environmental monitoring, and infrastructure inspection must maintain reliable coverage of critical assets despite robot failures. This requires multicoverage: each asset must be observed by multiple robots for redundancy, with coverage requirements varying by asset importance. While recent work has solved the centralized problem optimally using integer programming, practical deployments face constraints that demand distributed solutions: robots operate with limited communication ranges, onboard computation restricts global planning, and partial system failures must not cause mission abort. We present a distributed multicoverage algorithm for robot swarms operating with local sensing, local communication, and no global coordination.","url":"https://arxiv.org/abs/2605.21686v1","authors":["Mariem Guitouni","Aaron T. Becker"],"tags":["cs.RO"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2026-05-20T19:43:41Z","addedAt":"2026-08-06T22:48:52.794Z"},{"id":"arxiv:1905.05449v2","name":"UAV Swarm-Enabled Aerial CoMP: A Physical Layer Security Perspective","source":"arxiv","abstract":"Unlike aerial base station enabled by a single unmanned aerial vehicle (UAV), aerial coordinated multiple points (CoMP) can be enabled by a UAV swarm. In this case, the management of multiple UAVs is important. This paper considers the power allocation strategy for a UAV swarm-enabled aerial network to enhance the physical layer security of the downlink transmission, where an eavesdropper moves following the trajectory of the swarm for better eavesdropping. Unlike existing works, we use only the large-scale channel state information (CSI) and maximize the secrecy throughput in a whole-trajectory-oriented manner. The overall transmission energy constraint on each UAV and the total transmission duration for all the legitimate users are considered. The non-convexity of the formulated problem is solved by using max-min optimization with iteration. Both the transmission power of desired signals and artificial noise (AN) are derived iteratively. Simulation results are presented to validate the effectiveness of our proposed power allocation algorithm and to show the advantage of aerial CoMP by using only the large-scale CSI.","url":"https://arxiv.org/abs/1905.05449v2","authors":["Xuanxuan Wang","Wei Feng","Yunfei Chen","Ning Ge"],"tags":["cs.IT","eess.SP"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2019-05-14T08:28:26Z","addedAt":"2026-08-06T22:48:52.794Z"},{"id":"arxiv:2210.03234v1","name":"Swarm of UAVs for Network Management in 6G: A Technical Review","source":"arxiv","abstract":"Fifth-generation (5G) cellular networks have led to the implementation of beyond 5G (B5G) networks, which are capable of incorporating autonomous services to swarm of unmanned aerial vehicles (UAVs). They provide capacity expansion strategies to address massive connectivity issues and guarantee ultra-high throughput and low latency, especially in extreme or emergency situations where network density, bandwidth, and traffic patterns fluctuate. On the one hand, 6G technology integrates AI/ML, IoT, and blockchain to establish ultra-reliable, intelligent, secure, and ubiquitous UAV networks. 6G networks, on the other hand, rely on new enabling technologies such as air interface and transmission technologies, as well as a unique network design, posing new challenges for the swarm of UAVs. Keeping these challenges in mind, this article focuses on the security and privacy, intelligence, and energy-efficiency issues faced by swarms of UAVs operating in 6G mobile networks. In this state-of-the-art review, we integrated blockchain and AI/ML with UAV networks utilizing the 6G ecosystem. The key findings are then presented, and potential research challenges are identified. We conclude the review by shedding light on future research in this emerging field of research.","url":"https://arxiv.org/abs/2210.03234v1","authors":["Muhammad Asghar Khan","Neeraj Kumar","Syed Agha Hassnain Mohsan","Wali Ullah Khan","Moustafa M. Nasralla","Mohammed H. Alsharif","Justyna ywioek","Insaf Ullah"],"tags":["cs.NI","eess.SP"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2022-10-06T22:00:55Z","addedAt":"2026-08-06T22:48:52.795Z"},{"id":"arxiv:2301.06230v3","name":"Swarm-SLAM : Sparse Decentralized Collaborative Simultaneous Localization and Mapping Framework for Multi-Robot Systems","source":"arxiv","abstract":"Collaborative Simultaneous Localization And Mapping (C-SLAM) is a vital component for successful multi-robot operations in environments without an external positioning system, such as indoors, underground or underwater. In this paper, we introduce Swarm-SLAM, an open-source C-SLAM system that is designed to be scalable, flexible, decentralized, and sparse, which are all key properties in swarm robotics. Our system supports inertial, lidar, stereo, and RGB-D sensing, and it includes a novel inter-robot loop closure prioritization technique that reduces communication and accelerates convergence. We evaluated our ROS-2 implementation on five different datasets, and in a real-world experiment with three robots communicating through an ad-hoc network. Our code is publicly available: https://github.com/MISTLab/Swarm-SLAM","url":"https://arxiv.org/abs/2301.06230v3","authors":["Pierre-Yves Lajoie","Giovanni Beltrame"],"tags":["cs.RO","cs.CV"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2023-01-16T01:41:35Z","addedAt":"2026-08-06T22:48:52.795Z"},{"id":"arxiv:1906.08867v1","name":"Self-adaptive Potential-based Stopping Criteria for Particle Swarm Optimization","source":"arxiv","abstract":"We study the variant of Particle Swarm Optimization (PSO) that applies random velocities in a dimension instead of the regular velocity update equations as soon as the so-called potential of the swarm falls below a certain bound in this dimension, arbitrarily set by the user. In this case, the swarm performs a forced move. In this paper, we are interested in how, by counting the forced moves, the swarm can decide for itself to stop its movement because it is improbable to find better solution candidates as it already has found. We formally prove that when the swarm is close to a (local) optimum, it behaves like a blind-searching cloud, and that the frequency of forced moves exceeds a certain, objective function-independent value. Based on this observation, we define stopping criteria and evaluate them experimentally showing that good solution candidates can be found much faster than applying other criteria.","url":"https://arxiv.org/abs/1906.08867v1","authors":["Bernd Bassimir","Manuel Schmitt","Rolf Wanka"],"tags":["cs.NE"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2019-05-29T13:14:12Z","addedAt":"2026-08-06T22:48:52.795Z"},{"id":"arxiv:2106.03129v1","name":"3D UAV Trajectory and Data Collection Optimisation via Deep Reinforcement Learning","source":"arxiv","abstract":"Unmanned aerial vehicles (UAVs) are now beginning to be deployed for enhancing the network performance and coverage in wireless communication. However, due to the limitation of their on-board power and flight time, it is challenging to obtain an optimal resource allocation scheme for the UAV-assisted Internet of Things (IoT). In this paper, we design a new UAV-assisted IoT systems relying on the shortest flight path of the UAVs while maximising the amount of data collected from IoT devices. Then, a deep reinforcement learning-based technique is conceived for finding the optimal trajectory and throughput in a specific coverage area. After training, the UAV has the ability to autonomously collect all the data from user nodes at a significant total sum-rate improvement while minimising the associated resources used. Numerical results are provided to highlight how our techniques strike a balance between the throughput attained, trajectory, and the time spent. More explicitly, we characterise the attainable performance in terms of the UAV trajectory, the expected reward and the total sum-rate.","url":"https://arxiv.org/abs/2106.03129v1","authors":["Khoi Khac Nguyen","Trung Q. Duong","Tan Do-Duy","Holger Claussen","and Lajos Hanzo"],"tags":["eess.SP","cs.AI","cs.LG"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2021-06-06T14:08:41Z","addedAt":"2026-08-06T22:48:52.795Z"},{"id":"arxiv:1705.02723v3","name":"Joint Trajectory and Communication Design for Multi-UAV Enabled Wireless Networks","source":"arxiv","abstract":"Unmanned aerial vehicles (UAVs) have attracted significant interest recently in assisting wireless communication due to their high maneuverability, flexible deployment, and low cost. This paper considers a multi-UAV enabled wireless communication system, where multiple UAV-mounted aerial base stations (BSs) are employed to serve a group of users on the ground. To achieve fair performance among users, we maximize the minimum throughput over all ground users in the downlink communication by optimizing the multiuser communication scheduling and association jointly with the UAVs' trajectory and power control. The formulated problem is a mixed integer non-convex optimization problem that is challenging to solve. As such, we propose an efficient iterative algorithm for solving it by applying the block coordinate descent and successive convex optimization techniques. Specifically, the user scheduling and association, UAV trajectory, and transmit power are alternately optimized in each iteration. In particular, for the non-convex UAV trajectory and transmit power optimization problems, two approximate convex optimization problems are solved, respectively. We further show that the proposed algorithm is guaranteed to converge to at least a locally optimal solution. To speed up the algorithm convergence and achieve good throughput, a low-complexity and systematic initialization scheme is also proposed for the UAV trajectory design based on the simple circular trajectory and the circle packing scheme. Extensive simulation results are provided to demonstrate the significant throughput gains of the proposed design as compared to other benchmark schemes.","url":"https://arxiv.org/abs/1705.02723v3","authors":["Qingqing Wu","Yong Zeng","Rui Zhang"],"tags":["cs.IT","math.DS","math.OC"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2017-05-08T01:49:01Z","addedAt":"2026-08-06T22:48:52.795Z"},{"id":"arxiv:1801.07188v1","name":"Resource Allocation for Solar Powered UAV Communication Systems","source":"arxiv","abstract":"In this paper, we investigate the resource allocation design for multicarrier (MC) systems employing a solar powered unmanned aerial vehicle (UAV) for providing communication services to multiple downlink users. We study the joint design of the three-dimensional positioning of the UAV and the power and subcarrier allocation for maximization of the system sum throughput. The algorithm design is formulated as a mixed-integer non-convex optimization problem, which requires a prohibitive computational complexity for obtaining the globally optimal solution. Therefore, a low-complexity suboptimal iterative solution based on successive convex approximation is proposed. Simulation results confirm that the proposed suboptimal algorithm achieves a substantially higher system sum throughput compared to several baseline schemes.","url":"https://arxiv.org/abs/1801.07188v1","authors":["Yan Sun","Derrick Wing Kwan Ng","Dongfang Xu","Linglong Dai","Robert Schober"],"tags":["cs.IT"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2018-01-22T16:47:59Z","addedAt":"2026-08-06T22:48:52.795Z"},{"id":"arxiv:2107.14270v1","name":"Secure Swarm UAV-assisted Communications with Cooperative Friendly Jamming","source":"arxiv","abstract":"This article proposes a cooperative friendly jamming framework for swarm unmanned aerial vehicle (UAV)-assisted amplify-and-forward (AF) relaying networks with wireless energy harvesting. Due to the limited energy of the UAVs, we develop a collaborative time-switching relaying protocol which allows the UAVs to collaborate to harvest wireless energy, relay information, and jam the eavesdropper. To evaluate the secrecy rate, we derive the secrecy outage probability (SOP) for two popular detection techniques at the eavesdropper, i.e., selection combining and maximum-ratio combining. Monte Carlo simulations are then used to validate the theoretical SOP derivation and to show the effectiveness of the proposed framework in terms of SOP as compared with the conventional amplify-and-forward relaying system. Using the derived SOP, one can obtain engineering insights to optimize the energy harvesting time and the number of UAVs in the swarm to achieve a given secrecy protection level. The analytical SOP derived in this work can also be helpful in future UAV secure-communications optimizations (e.g., trajectory, locations of UAVs). As an example, we present a case study to find the optimal corridor to locate the swarm so as to minimize the system SOP.","url":"https://arxiv.org/abs/2107.14270v1","authors":["Hanh Dang-Ngoc","Diep N. Nguyen","Khuong Ho-Van","Dinh Thai Hoang","Eryk Dutkiewicz","Quoc-Viet Pham","Won-Joo Hwang"],"tags":["cs.IT","eess.SP"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2021-07-29T18:38:47Z","addedAt":"2026-08-06T22:48:52.795Z"},{"id":"arxiv:2605.14298v1","name":"Capacity Characterization and Formation Optimization for Multi-User MIMO Communications with UAV Swarm","source":"arxiv","abstract":"For a multi-user multiple-input multiple-output (MU-MIMO) wireless communication system, imagining that the locations of the users are now fully controllable, what is the maximum sum-capacity, and what are the corresponding optimal user locations? While these questions are irrelevant in conventional human-centric communications with random user mobility, they become critically important for emerging applications involving ground or aerial robots. This paper addresses these fundamental questions in the context of MU-MIMO communications with an unmanned aerial vehicle (UAV) swarm acting as the users. To this end, we first derive closed-form expressions for the sum-capacity of MU-MIMO UAV swarm communications. Our results reveal that, compared to conventional MU-MIMO systems, the additional degrees of freedom provided by the coordinated mobility of the UAV swarm yields substantial capacity enhancement. Specifically, when the base station (BS) is equipped with an $M$-element uniform linear array (ULA), the full spatial multiplexing gain and beamforming gain, both equal to $M$, can be achieved simultaneously. For a BS with a uniform planar array (UPA), we show that asymptotically $\\frac{πM}{4}$ users can simultaneously enjoy the full beamforming gain $M$. Furthermore, we propose a novel framework to optimize UAV swarm formation for maximizing the sum-capacity achieved by successive interference cancellation (SIC) and maximizing the sum-rate via treating interference as noise (TIN), taking into account practical considerations such as collision avoidance and swarm cohesion constraints. By exploiting the manifold structure of the array response vectors with respect to UAV directions, we develop an efficient algorithm to solve the resulting non-convex formation optimization problems. Extensive simulation results demonstrate that the proposed algorithms achieve near-optimal performance.","url":"https://arxiv.org/abs/2605.14298v1","authors":["Yong Zeng"],"tags":["cs.IT"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2026-05-14T03:01:28Z","addedAt":"2026-08-06T22:48:52.795Z"},{"id":"arxiv:1812.00743v1","name":"Wireless Communications and Control for Swarms of Cellular-Connected UAVs","source":"arxiv","abstract":"By using wireless connectivity through cellular base stations (BSs), swarms of unmanned aerial vehicles (UAVs) can provide a plethora of services ranging from delivery of goods to surveillance. In particular, UAVs in a swarm can utilize wireless communications to collect information, like velocity and heading angle, from surrounding UAVs for coordinating their operations and maintaining target speed and intra-UAV distance. However, due to the uncertainty of the wireless channel, wireless communications among UAVs will experience a transmission delay which can impair the swarm's ability to stabilize system operation. In this paper, the problem of joint communication and control is studied for a swarm of three cellular-connected UAVs positioned in a triangle formation. In particular, a novel approach is proposed for optimizing the swarm's operation while jointly considering the delay of the wireless network and the stability of the control system. Based on this approach, the maximum allowable delay required to prevent the instability of the swarm is determined. Moreover, by using stochastic geometry, the reliability of the wireless network is derived as the probability of meeting the stability requirement of the control system. The simulation results validate the effectiveness of the proposed joint strategy, and help obtain insightful design guidelines on how to form a stable swarm of UAVs.","url":"https://arxiv.org/abs/1812.00743v1","authors":["Tengchan Zeng","Mohammad Mozaffari","Omid Semiari","Walid Saad","Mehdi Bennis","Merouane Debbah"],"tags":["eess.SP"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2018-12-03T14:17:22Z","addedAt":"2026-08-06T22:48:52.795Z"},{"id":"arxiv:2105.03564v1","name":"$E^2Coop$: Energy Efficient and Cooperative Obstacle Detection and Avoidance for UAV Swarms","source":"arxiv","abstract":"Energy efficiency is of critical importance to trajectory planning for UAV swarms in obstacle avoidance. In this paper, we present $E^2Coop$, a new scheme designed to avoid collisions for UAV swarms by tightly coupling Artificial Potential Field (APF) with Particle Swarm Planning (PSO) based trajectory planning. In $E^2Coop$, swarm members perform trajectory planning cooperatively to avoid collisions in an energy-efficient manner. $E^2Coop$ exploits the advantages of the active contour model in image processing for trajectory planning. Each swarm member plans its trajectories on the contours of the environment field to save energy and avoid collisions to obstacles. Swarm members that fall within the safeguard distance of each other plan their trajectories on different contours to avoid collisions with each other. Simulation results demonstrate that $E^2Coop$ can save energy up to 51\\% compared with two state-of-the-art schemes.","url":"https://arxiv.org/abs/2105.03564v1","authors":["Shuangyao Huang","Haibo Zhang","Zhiyi Huang"],"tags":["cs.RO"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2021-05-08T02:50:40Z","addedAt":"2026-08-06T22:48:52.795Z"},{"id":"arxiv:2602.13687v1","name":"UAV Swarm Enabled Aerial Movable Antenna System for Low-Altitude Economy: From Far-Field to Near-Field Communication","source":"arxiv","abstract":"Unmanned aerial vehicle (UAV) with the intrinsic three-dimensional (3D) mobility provides an ideal platform for implementing aerial movable antenna (AMA) system enabled by UAV swarm cooperation. Besides, AMA system is readily to achieve an extremely large-scale array aperture, rendering the conventional far-field uniform plane wave (UPW) model no longer valid for aerial-to-ground links. This paper studies the UAV swarm enabled near-field AMA communication, by taking into account the non-uniform spherical wave (NUSW) model, where UAV swarm trajectory simultaneously influences the channel amplitude and phase. We formulate a general optimization problem to maximize the minimum average communication rate over user equipments (UEs), by jointly optimizing the 3D UAV swarm trajectory and receive beamforming for all UEs. To draw useful insights, the special case of single UE is first studied, and successive convex approximation (SCA) technique is proposed to efficiently optimize the UAV swarm trajectory. For the special case of placement optimization, the optimal placement positions of UAVs for cases of single UAV and two UAVs are derived in closed-form. Then, for the special case of two UEs, we show that an inter-UE interference (IUI)-free communication can be achieved by symmetrically placing an even number of UAVs along a hyperbola, with its foci corresponding to the locations of the two UEs. Furthermore, for arbitrary number of UEs, an alternating optimization algorithm is proposed to efficiently tackle the non-convex optimization problem. Numerical results validate the significant performance gains over the benchmark schemes.","url":"https://arxiv.org/abs/2602.13687v1","authors":["Haiquan Lu","Chao Feng","Yong Zeng","Shaodan Ma","Long Shi","Shi Jin","Rui Zhang"],"tags":["cs.IT"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2026-02-14T09:13:59Z","addedAt":"2026-08-06T22:48:52.795Z"},{"id":"arxiv:1612.00480v1","name":"A Scalable and Adaptable Multiple-Place Foraging Algorithm for Ant-Inspired Robot Swarms","source":"arxiv","abstract":"Individual robots are not effective at exploring large unmapped areas. An alternate approach is to use a swarm of simple robots that work together, rather than a single highly capable robot. The central-place foraging algorithm (CPFA) is effective for coordinating robot swarm search and collection tasks. Robots start at a centrally placed location (nest), explore potential targets in the area without global localization or central control, and return the targets to the nest. The scalability of the CPFA is limited because large numbers of robots produce more inter-robot collisions and large search areas result in substantial travel costs. We address these problems with the multiple-place foraging algorithm (MPFA), which uses multiple nests distributed throughout the search area. Robots start from a randomly assigned home nest but return to the closest nest with found targets. We simulate the foraging behavior of robot swarms in the robot simulator ARGoS and employ a genetic algorithm to discover different optimized foraging strategies as swarm sizes and the number of targets are scaled up. In our experiments, the MPFA always produces higher foraging rates, fewer collisions, and lower travel and search time compared to the CPFA for the partially clustered targets distribution. The main contribution of this paper is that we systematically quantify the advantages of the MPFA (reduced travel time and collisions), the potential disadvantages (less communication among robots), and the ability of a genetic algorithm to tune MPFA parameters to mitigate search inefficiency due to less communication.","url":"https://arxiv.org/abs/1612.00480v1","authors":["Qi Lu","Melanie E. Moses","Joshua P. Hecker"],"tags":["cs.MA","cs.RO"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2016-12-01T21:38:03Z","addedAt":"2026-08-06T22:48:52.795Z"},{"id":"arxiv:2502.07467v1","name":"Integrated Sensing, Communication, and Over-The-Air Control of UAV Swarm Dynamics","source":"arxiv","abstract":"Coordinated controlling a large UAV swarm requires significant spectrum resources due to the need for bandwidth allocation per UAV, posing a challenge in resource-limited environments. Over-the-air (OTA) control has emerged as a spectrum-efficient approach, leveraging electromagnetic superposition to form control signals at a base station (BS). However, existing OTA controllers lack sufficient optimization variables to meet UAV swarm control objectives and fail to integrate control with other BS functions like sensing. This work proposes an integrated sensing and OTA control framework (ISAC-OTA) for UAV swarm. The BS performs OTA signal construction (uplink) and dispatch (downlink) while simultaneously sensing objects. Two uplink post-processing methods are developed: a control-centric approach generating closed-form control signals via a feedback-looped OTA control problem, and a sensing-centric method mitigating transmission-induced interference for accurate object sensing. For the downlink, a non-convex problem is formulated and solved to minimize control signal dispatch (transmission) error while maintaining a minimum sensing signal-to-noise ratio (SNR). Simulation results show that the proposed ISAC-OTA controller achieves control performance comparable to the benchmark optimal control algorithm while maintaining high sensing accuracy, despite OTA transmission interference. Moreover, it eliminates the need for per-UAV bandwidth allocation, showcasing a spectrum-efficient method for cooperative control in future wireless systems.","url":"https://arxiv.org/abs/2502.07467v1","authors":["Zhuangkun Wei","Wenxiu Hu","Yathreb Bouazizi","Mengbang Zou","Chenguang Liu","Yunfei Chen","Hongjian Sun","Julie McCann"],"tags":["eess.SP","eess.SY"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2025-02-11T11:22:05Z","addedAt":"2026-08-06T22:48:52.795Z"},{"id":"arxiv:2501.08655v1","name":"Application of Deep Reinforcement Learning to UAV Swarming for Ground Surveillance","source":"arxiv","abstract":"This paper summarizes in depth the state of the art of aerial swarms, covering both classical and new reinforcement-learning-based approaches for their management. Then, it proposes a hybrid AI system, integrating deep reinforcement learning in a multi-agent centralized swarm architecture. The proposed system is tailored to perform surveillance of a specific area, searching and tracking ground targets, for security and law enforcement applications. The swarm is governed by a central swarm controller responsible for distributing different search and tracking tasks among the cooperating UAVs. Each UAV agent is then controlled by a collection of cooperative sub-agents, whose behaviors have been trained using different deep reinforcement learning models, tailored for the different task types proposed by the swarm controller. More specifically, proximal policy optimization (PPO) algorithms were used to train the agents' behavior. In addition, several metrics to assess the performance of the swarm in this application were defined. The results obtained through simulation show that our system searches the operation area effectively, acquires the targets in a reasonable time, and is capable of tracking them continuously and consistently.","url":"https://arxiv.org/abs/2501.08655v1","authors":["Raúl Arranz","David Carramiñana","Gonzalo de Miguel","Juan A. Besada","Ana M. Bernardos"],"tags":["cs.AI","cs.RO"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2025-01-15T08:46:20Z","addedAt":"2026-08-06T22:48:52.795Z"},{"id":"arxiv:1902.07860v1","name":"Survivable Networks via UAV Swarms Guided by Decentralized Real-Time Evolutionary Computation","source":"arxiv","abstract":"The survivable network concept refers to contexts where the wireless communication between ground agents needs to be maintained as much as possible at all times, regardless of any adverse conditions that may arise. In this paper we propose a nature-inspired approach to survivable networks, in which we bring together swarm intelligence and evolutionary computation. We use an on-line real-time Genetic Algorithm to optimize the movements of an UAV swarm towards maintaining communication between the ground agents. The proposed approach models the ground agents and the UAVs as boids-based swarms, and optimizes the movement of the UAVs using different instances of the GA running independently on each UAV. The UAV coordination mechanism is an implicit one, embedded in the fitness function of the Genetic Algorithm instances. The behaviors of the individual UAVs emerge into an aggregated optimization of the overall network survivability. The results show that the proposed approach is able to maintain satisfactory network survivability levels regardless of the ground agents' movements, including for cases as complex as random walks.","url":"https://arxiv.org/abs/1902.07860v1","authors":["George Leu","Jiangjun Tang"],"tags":["cs.MA"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2019-02-21T03:51:54Z","addedAt":"2026-08-06T22:48:52.795Z"},{"id":"arxiv:2105.00950v1","name":"3-D Deployment of UAV Swarm for Massive MIMO Communications","source":"arxiv","abstract":"We consider the uplink transmission between a multi-antenna ground station and an unmanned aerial vehicle (UAV) swarm. The UAVs are assumed as intelligent agents, which can explore their optimal three dimensional (3-D) deployment to maximize the channel capacity of the multiple input multiple output (MIMO) system. Specifically, considering the limitations of each UAV in accessing the global information of the network, we focus on a decentralized control strategy by noting that each UAV in the swarm can only utilize the local information to achieve the optimal 3-D deployment. In this case, the optimization problem can be divided into several optimization sub-problems with respect to the rank function. Due to the non-convex nature of the rank function and the fact that the optimization sub-problems are coupled, the original problem is NP-hard and, thus, cannot be solved with standard convex optimization solvers. Interestingly, we can relax the constraint condition of each sub-problem and solve the optimization problem by a formulated UAVs channel capacity maximization game. We analyze such game according to the designed reward function and the potential function. Then, we discuss the existence of the pure Nash equilibrium in the game. To achieve the best Nash equilibrium of the MIMO system, we develop a decentralized learning algorithm, namely decentralized UAVs channel capacity learning. The details of the algorithm are provided, and then, the convergence, the effectiveness and the computational complexity are analyzed, respectively. Moreover, we give some insightful remarks based on the proofs and the theoretical analysis. Also, extensive simulations illustrate that the developed learning algorithm can achieve a high MIMO channel capacity by optimizing the 3-D UAV swarm deployment with the local information.","url":"https://arxiv.org/abs/2105.00950v1","authors":["Ning Gao","Xiao Li","Shi Jin","Michail Matthaiou"],"tags":["cs.IT","eess.SP"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2021-05-03T15:35:07Z","addedAt":"2026-08-06T22:48:52.795Z"},{"id":"arxiv:2511.22791v1","name":"An Efficient Privacy-preserving Intrusion Detection Scheme for UAV Swarm Networks","source":"arxiv","abstract":"The rapid proliferation of unmanned aerial vehicles (UAVs) and their applications in diverse domains, such as surveillance, disaster management, agriculture, and defense, have revolutionized modern technology. While the potential benefits of swarm-based UAV networks are growing significantly, they are vulnerable to various security attacks that can jeopardize the overall mission success by degrading their performance, disrupting decision-making, and compromising the trajectory planning process. The Intrusion Detection System (IDS) plays a vital role in identifying potential security attacks to ensure the secure operation of UAV swarm networks. However, conventional IDS primarily focuses on binary classification with resource-intensive neural networks and faces challenges, including latency, privacy breaches, increased performance overhead, and model drift. This research aims to address these challenges by developing a novel lightweight and federated continuous learning-based IDS scheme. Our proposed model facilitates decentralized training across diverse UAV swarms to ensure data heterogeneity and privacy. The performance evaluation of our model demonstrates significant improvements, with classification accuracies of 99.45% on UKM-IDS, 99.99% on UAV-IDS, 96.85% on TLM-UAV dataset, and 98.05% on Cyber-Physical datasets.","url":"https://arxiv.org/abs/2511.22791v1","authors":["Kanchon Gharami","Shafika Showkat Moni"],"tags":["cs.CR","cs.LG"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2025-11-27T22:37:06Z","addedAt":"2026-08-06T22:48:52.795Z"},{"id":"arxiv:2511.18086v1","name":"Anti-Jamming based on Null-Steering Antennas and Intelligent UAV Swarm Behavior","source":"arxiv","abstract":"Unmanned Aerial Vehicle (UAV) swarms represent a key advancement in autonomous systems, enabling coordinated missions through inter-UAV communication. However, their reliance on wireless links makes them vulnerable to jamming, which can disrupt coordination and mission success. This work investigates whether a UAV swarm can effectively overcome jamming while maintaining communication and mission efficiency. To address this, a unified optimization framework combining Genetic Algorithms (GA), Supervised Learning (SL), and Reinforcement Learning (RL) is proposed. The mission model, structured into epochs and timeslots, allows dynamic path planning, antenna orientation, and swarm formation while progressively enforcing collision rules. Null-steering antennas enhance resilience by directing antenna nulls toward interference sources. Results show that the GA achieved stable, collision-free trajectories but with high computational cost. SL models replicated GA-based configurations but struggled to generalize under dynamic or constrained settings. RL, trained via Proximal Policy Optimization (PPO), demonstrated adaptability and real-time decision-making with consistent communication and lower computational demand. Additionally, the Adaptive Movement Model generalized UAV motion to arbitrary directions through a rotation-based mechanism, validating the scalability of the proposed system. Overall, UAV swarms equipped with null-steering antennas and guided by intelligent optimization algorithms effectively mitigate jamming while maintaining communication stability, formation cohesion, and collision safety. The proposed framework establishes a unified, flexible, and reproducible basis for future research on resilient swarm communication systems.","url":"https://arxiv.org/abs/2511.18086v1","authors":["Miguel Lourenço","António Grilo"],"tags":["cs.RO","cs.NI","eess.SY"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2025-11-22T15:00:19Z","addedAt":"2026-08-06T22:48:52.795Z"},{"id":"arxiv:2103.06361v1","name":"UAV Swarm-Enabled Aerial Reconfigurable Intelligent Surface","source":"arxiv","abstract":"Reconfigurable intelligent surface (RIS) offers tremendous spectrum and energy efficiency in wireless networks by adjusting the amplitudes and/or phases of passive reflecting elements to optimize signal reflection. With the agility and mobility of unmanned aerial vehicles (UAVs), RIS can be mounted on UAVs to enable three-dimensional signal reflection. Compared to the conventional terrestrial RIS (TRIS), the aerial RIS (ARIS) enjoys higher deployment flexibility, reliable air-to-ground links, and panoramic full-angle reflection. However, due to UAV's limited payload and battery capacity, it is difficult for a UAV to carry a RIS with a large number of reflecting elements. Thus, the scalability of the aperture gain could not be guaranteed. In practice, multiple UAVs can form a UAV swarm to enable the ARIS cooperatively. In this article, we first present an overview of the UAV swarm-enabled ARIS (SARIS), including its motivations and competitive advantages compared to TRIS and ARIS, as well as its new transformative applications in wireless networks. We then address the critical challenges of designing the SARIS by focusing on the beamforming design, SARIS channel estimation, and SARIS's deployment and movement. Next, the potential performance enhancement of SARIS is showcased and discussed with preliminary numerical results. Finally, open research opportunities are illustrated.","url":"https://arxiv.org/abs/2103.06361v1","authors":["Bodong Shang","Rubayet Shafin","Lingjia Liu"],"tags":["eess.SP"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2021-03-10T22:08:41Z","addedAt":"2026-08-06T22:48:52.795Z"},{"id":"arxiv:2411.19068v1","name":"Towards an Implementation of the Knowledge-Based Control Plane for Intelligent Swarm Networks","source":"arxiv","abstract":"This paper proposes the possibility of integrating Dynamic Knowledge Graph (DKG) with Software-Defined Networking (SDN). This new approach aims to assist the management and control capabilities of the swarm network. The DKG works as a unified network data view, capturing network information such as topology, flow rules, host information, switch information, link status, and in-band network telemetry (INT) data. Benefited from the deep programmability of SDN, the network information can be converted into RDF format constantly, and the DKG will be dynamically updated. This approach helps the network operators to control their network infrastructure, such as allocating resource effectively and decision making at the application layer. Potential use cases demonstrate the applicability and advantages of the proposed approach. Examples include access control in swarm network scenarios and applying adaptive routing strategies, etc. These use cases illustrate how DKG-based SDN can address swarm network management challenges effectively, optimizing performance and resource utilization.","url":"https://arxiv.org/abs/2411.19068v1","authors":["Xuanchi Guo","Anh Le-Tuan","Danh Le-Phuoc"],"tags":["cs.NI"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2024-11-28T11:28:16Z","addedAt":"2026-08-06T22:48:52.795Z"},{"id":"arxiv:2510.07292v2","name":"Anti-Jamming based on Beam-Steering Antennas and Intelligent UAV Swarm Behavior","source":"arxiv","abstract":"In recent years, Unmanned Aerial Vehicles (UAVs) have brought a new true revolution to military tactics. While UAVs already constitute an advantage when operating alone, multi-UAV swarms expand the available possibilities, allowing the UAVs to collaborate and support each other as a team to carry out a given task. This entails the capability to exchange information related with situation awareness and action coordination by means of a suitable wireless communication technology. In such scenario, the adversary is expected to disrupt communications by jamming the communication channel. The latter becomes the Achilles heel of the swarm. While anti-jamming techniques constitute a well covered topic in the literature, the use of intelligent swarm behaviors to leverage those techniques is still an open research issue. This paper explores the use of Genetic Algorithms (GAs) to jointly optimize UAV swarm formation, beam-steering antennas and traffic routing in order to mitigate the effect of jamming in the main coordination channel, under the assumption that a more robust and low data rate channel is used for formation management signaling. Simulation results show the effectiveness of proposed approach. However, the significant computational cost paves the way for further research.","url":"https://arxiv.org/abs/2510.07292v2","authors":["Tiago Silva","António Grilo"],"tags":["cs.NI","eess.SY"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2025-10-08T17:47:52Z","addedAt":"2026-08-06T22:48:52.795Z"},{"id":"arxiv:2606.31197v1","name":"Diffusion-based 4D Trajectory Prediction and Distributed Control for UAV Swarms","source":"arxiv","abstract":"Accurate 4D trajectory prediction and closed-loop tracking are essential for Unmanned Aerial Vehicle (UAV) swarms to achieve safe and efficient operations in complex low-altitude environments such as urban airspaces, industrial sites, and indoor facilities. However, this task remains challenging due to intrinsic nonlinearity of UAV swarm dynamics and strict real-time constraints of swarm formation control. To address these challenges, we propose a unified framework that couples coarse-to-fine trajectory forecasting with uncertainty-aware Distributed Nonlinear Model Predictive Control (DNMPC). Our approach features two key innovations: 1) a dimension-decoupled trajectory prediction module that reduces computational complexity by forecasting axis-wise motion, and 2) a diffusion-based residual dynamics refinement module that captures temporally correlated dynamic uncertainties. These refined predictions are then integrated into a DNMPC loop to ensure formation stability. We also introduce a synchronized multi-scenario 4D UAV swarm dataset spanning six representative airspace scenarios. The dataset contains over \\textbf{7,900} frames of synchronized three-UAV trajectories with frame-level annotations of speed intention and target sector. Extensive experiments demonstrate that our approach outperforms state-of-the-art baselines, reducing trajectory tracking error by up to \\textbf{10-15\\%} and achieving sub-\\textbf{0.07\\,m} average tracking error in complex urban and industrial environments, while maintaining real-time inference speeds of 34 FPS (sub-30 ms latency) suitable for agile flight.","url":"https://arxiv.org/abs/2606.31197v1","authors":["Tianshun Li","Hongliang Lu","Haoang Li","Xinhu Zheng"],"tags":["cs.RO"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2026-06-30T06:26:34Z","addedAt":"2026-08-06T22:48:52.795Z"},{"id":"arxiv:2108.13154v1","name":"Towards Secure Wireless Mesh Networks for UAV Swarm Connectivity: Current Threats, Research, and Opportunities","source":"arxiv","abstract":"UAVs are increasingly appearing in swarms or formations to leverage cooperative behavior, forming flying ad hoc networks. These UAV-enabled networks can meet several complex mission requirements and are seen as a potential enabler for many of the emerging use-cases in future communication networks. Such networks, however, are characterized by a highly dynamic and mobile environment with no guarantee of a central network infrastructure which can cause both connectivity and security issues. While wireless mesh networks are envisioned as a solution for such scenarios, these networks come with their own challenges and security vulnerabilities. In this paper, we analyze the key security and resilience issues resulting from the application of wireless mesh networks within UAV swarms. Specifically, we highlight the main challenges of applying current mesh technologies within the domain of UAV swarms and expose existing vulnerabilities across the communication stack. Based on this analysis, we present a security-focused architecture for UAV mesh communications. Finally, from the identification of these vulnerabilities, we discuss research opportunities posed by the unique challenges of UAV swarm connectivity.","url":"https://arxiv.org/abs/2108.13154v1","authors":["Martin Andreoni Lopez","Michael Baddeley","Willian T. Lunardi","Anshul Pandey","Jean-Pierre Giacalone"],"tags":["cs.NI","cs.CR"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2021-07-12T06:37:10Z","addedAt":"2026-08-06T22:48:52.795Z"},{"id":"arxiv:2503.16146v3","name":"Distributed Split Computing Using Diffusive Metrics for UAV Swarms","source":"arxiv","abstract":"In large-scale UAV swarms, dynamically executing machine learning tasks can pose significant challenges due to network volatility and the heterogeneous resource constraints of each UAV. Traditional approaches often rely on centralized orchestration to partition tasks among nodes. However, these methods struggle with communication bottlenecks, latency, and reliability when the swarm grows or the topology shifts rapidly. To overcome these limitations, we propose a fully distributed, diffusive metric-based approach for split computing in UAV swarms. Our solution introduces a new iterative measure, termed the aggregated gigaflops, capturing each node's own computing capacity along with that of its neighbors without requiring global network knowledge. By forwarding partial inferences intelligently to underutilized nodes, we achieve improved task throughput, lower latency, and enhanced energy efficiency. Further, to handle sudden workload surges and rapidly changing node conditions, we incorporate an early-exit mechanism that can adapt the inference pathway on-the-fly. Extensive simulations demonstrate that our approach significantly outperforms baseline strategies across multiple performance indices, including latency, fairness, and energy consumption. These results highlight the feasibility of large-scale distributed intelligence in UAV swarms and provide a blueprint for deploying robust, scalable ML services in diverse aerial networks.","url":"https://arxiv.org/abs/2503.16146v3","authors":["Talip Tolga Sarı","Gökhan Seçinti","Angelo Trotta"],"tags":["cs.NI"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2025-03-20T13:49:15Z","addedAt":"2026-08-06T22:48:52.795Z"},{"id":"arxiv:1909.05429v1","name":"Detection and Classification of UAVs Using RF Fingerprints in the Presence of Interference","source":"arxiv","abstract":"This paper investigates the problem of detection and classification of unmanned aerial vehicles (UAVs) in the presence of wireless interference signals using a passive radio frequency (RF) surveillance system. The system uses a multistage detector to distinguish signals transmitted by a UAV controller from the background noise and interference signals. First, RF signals from any source are detected using a Markov models-based naïve Bayes decision mechanism. When the receiver operates at a signal-to-noise ratio (SNR) of 10 dB, and the threshold, which defines the states of the models, is set at a level 3.5 times the standard deviation of the preprocessed noise data, a detection accuracy of 99.8% with a false alarm rate of 2.8% is achieved. Second, signals from Wi-Fi and Bluetooth emitters, if present, are detected based on the bandwidth and modulation features of the detected RF signal. Once the input signal is identified as a UAV controller signal, it is classified using machine learning (ML) techniques. Fifteen statistical features extracted from the energy transients of the UAV controller signals are fed to neighborhood component analysis (NCA), and the three most significant features are selected. The performance of the NCA and five different ML classifiers are studied for 15 different types of UAV controllers. A classification accuracy of 98.13% is achieved by k-nearest neighbor classifier at 25 dB SNR. Classification performance is also investigated at different SNR levels and for a set of 17 UAV controllers which includes two pairs from the same UAV controller models.","url":"https://arxiv.org/abs/1909.05429v1","authors":["Martins Ezuma","Fatih Erden","Chethan Kumar Anjinappa","Ozgur Ozdemir","Ismail Guvenc"],"tags":["eess.SP"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2019-09-12T01:40:00Z","addedAt":"2026-08-06T22:48:52.795Z"},{"id":"arxiv:1901.05413v1","name":"Joint Blocklength and Location Optimization for URLLC-enabled UAV Relay Systems","source":"arxiv","abstract":"This letter considers the unmanned aerial vehicle (UAV)-enabled relay system to deliver command information under ultra-reliable and low-latency communication (URLLC) requirements. We aim to jointly optimize the blocklength allocation and the UAV's location to minimize the decoding error probability subject to the latency requirement. The achievable data rate under finite blocklength regime is adopted. A novel perturbation-based iterative algorithm is proposed to solve this problem. Simulation results show that the proposed algorithm can achieve the same performance as the exhaustive search method, and significantly outperforms the existing algorithms.","url":"https://arxiv.org/abs/1901.05413v1","authors":["Cunhua Pan","Hong Ren","Yansha Deng","Maged Elkashlan","Arumugam Nallanathan"],"tags":["eess.SP"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2019-01-16T17:54:54Z","addedAt":"2026-08-06T22:48:52.795Z"},{"id":"arxiv:2410.15882v1","name":"Distributed Learning for UAV Swarms","source":"arxiv","abstract":"Unmanned Aerial Vehicle (UAV) swarms are increasingly deployed in dynamic, data-rich environments for applications such as environmental monitoring and surveillance. These scenarios demand efficient data processing while maintaining privacy and security, making Federated Learning (FL) a promising solution. FL allows UAVs to collaboratively train global models without sharing raw data, but challenges arise due to the non-Independent and Identically Distributed (non-IID) nature of the data collected by UAVs. In this study, we show an integration of the state-of-the-art FL methods to UAV Swarm application and invetigate the performance of multiple aggregation methods (namely FedAvg, FedProx, FedOpt, and MOON) with a particular focus on tackling non-IID on a variety of datasets, specifically MNIST for baseline performance, CIFAR10 for natural object classification, EuroSAT for environment monitoring, and CelebA for surveillance. These algorithms were selected to cover improved techniques on both client-side updates and global aggregation. Results show that while all algorithms perform comparably on IID data, their performance deteriorates significantly under non-IID conditions. FedProx demonstrated the most stable overall performance, emphasising the importance of regularising local updates in non-IID environments to mitigate drastic deviations in local models.","url":"https://arxiv.org/abs/2410.15882v1","authors":["Chen Hu","Hanchi Ren","Jingjing Deng","Xianghua Xie"],"tags":["cs.LG","cs.CV","cs.RO"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2024-10-21T11:01:44Z","addedAt":"2026-08-06T22:48:52.795Z"},{"id":"arxiv:2401.11915v1","name":"Secure Multi-hop Telemetry Broadcasts for UAV Swarm Communication","source":"arxiv","abstract":"Unmanned Aerial Vehicles (UAVs) are evolving as adaptable platforms for a wide range of applications such as precise inspections, emergency response, and remote sensing. Autonomous UAV swarms require efficient and stable communication during deployment for a successful mission execution. For instance, the periodic exchange of telemetry data between all swarm members provides the foundation for formation flight and collision avoidance. However, due to the mobility of the vehicles and instability of wireless transmissions, maintaining a secure and reliable all-to-all communication remains challenging. This paper investigates encrypted and authenticated multi-hop broadcast communication based on the transmission of custom IEEE 802.11 Wi-Fi data frames.","url":"https://arxiv.org/abs/2401.11915v1","authors":["Randolf Rotta","Pavlo Mykytyn"],"tags":["cs.CR","cs.RO"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2024-01-22T13:01:49Z","addedAt":"2026-08-06T22:48:52.795Z"},{"id":"arxiv:2602.08396v1","name":"IEEE 802.11ad-Aided 5-D Sensing with a UAV Swarm in Urban Environment","source":"arxiv","abstract":"Aerial base stations mounted on unmanned aerial vehicles (UAVs) support next-generation wireless networks in challenging environments such as urban areas, disaster zones, and remote locations. Further, UAV swarms overcome the challenges of limited battery life and other operational constraints of a single UAV. However, tracking mobile users on the ground by each UAV and the corresponding synchronization between the UAVs is a significant issue that must be addressed before this framework can be deployed in reality. Incorporating additional sensing capabilities to facilitate this additional requirement would introduce significant overhead in terms of hardware, cost, and power to each UAV. Instead, we propose an integrated sensing and communications-enabled swarm UAV system, based on the millimeter-wave IEEE 802.11ad protocol. Further, we show that our proposed system is capable of five-dimensional (5-D) ground target sensing (range, Doppler velocity, azimuth, elevation, and polarization) in an urban environment. Numerical experiments using realistic models demonstrate and validate the performance of 5-D sensing using our proposed 802-11ad-aided UAV system.","url":"https://arxiv.org/abs/2602.08396v1","authors":["Akanksha Sneh","Shobha Sundar Ram","Kumar Vijay Mishra"],"tags":["eess.SP"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2026-02-09T08:57:16Z","addedAt":"2026-08-06T22:48:52.795Z"},{"id":"arxiv:2107.00962v2","name":"Brain over Brawn: Using a Stereo Camera to Detect, Track, and Intercept a Faster UAV by Reconstructing the Intruder's Trajectory","source":"arxiv","abstract":"This paper presents our approach to intercepting a faster intruder UAV, inspired by the MBZIRC 2020 Challenge 1. By utilizing a priori knowledge of the shape of the intruder's trajectory, we can calculate an interception point. Target tracking is based on image processing by a YOLOv3 Tiny convolutional neural network, combined with depth calculation using a gimbal-mounted ZED Mini stereo camera. We use RGB and depth data from the camera, devising a noise-reducing histogram-filter to extract the target's 3D position. Obtained 3D measurements of target's position are used to calculate the position, orientation, and size of a figure-eight shaped trajectory, which we approximate using a Bernoulli lemniscate. Once the approximation is deemed sufficiently precise, as measured by the distance between observations and estimate, we calculate an interception point to position the interceptor UAV directly on the intruder's path. Our method, which we have significantly improved based on the experience gathered during the MBZIRC competition, has been validated in simulation and through field experiments. Our results confirm that we have developed an efficient, visual-perception module that can extract information describing the intruder UAV's motion with precision sufficient to support interception planning. In a majority of our simulated encounters, we can track and intercept a target that moves 30% faster than the interceptor. Corresponding tests in an unstructured environment yielded 9 out of 12 successful results.","url":"https://arxiv.org/abs/2107.00962v2","authors":["Antonella Barisic","Frano Petric","Stjepan Bogdan"],"tags":["cs.RO","cs.AI"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2021-07-02T10:49:22Z","addedAt":"2026-08-06T22:48:52.795Z"},{"id":"arxiv:2205.02203v1","name":"Graphical Games for UAV Swarm Control Under Time-Varying Communication Networks","source":"arxiv","abstract":"We propose a unified framework for coordinating Unmanned Aerial Vehicle (UAV) swarms operating under time-varying communication networks. Our framework builds on the concept of graphical games, which we argue provides a compelling paradigm to subsume the interaction structures found in networked UAV swarms thanks to the shared local neighborhood properties. We present a general-sum, factorizable payoff function for cooperative UAV swarms based on the aggregated local states and yield a Nash equilibrium for the stage games. Further, we propose a decomposition-based approach to solve stage-graphical games in a scalable and decentralized fashion by approximating virtual, mean neighborhoods. Finally, we discuss extending the proposed framework toward general-sum stochastic games by leveraging deep Q-learning and model-predictive control.","url":"https://arxiv.org/abs/2205.02203v1","authors":["Malintha Fernando","Ransalu Senanayake","Ariful Azad","Martin Swany"],"tags":["cs.RO"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2022-05-04T17:30:14Z","addedAt":"2026-08-06T22:48:52.795Z"},{"id":"arxiv:2208.05914v1","name":"3, 2, 1, Drones Go! A Testbed to Take off UAV Swarm Intelligence for Distributed Sensing","source":"arxiv","abstract":"This paper introduces a testbed to study distributed sensing problems of Unmanned Aerial Vehicles (UAVs) exhibiting swarm intelligence. Several Smart City applications, such as transport and disaster response, require efficient collection of sensor data by a swarm of intelligent and cooperative UAVs. This often proves to be too complex and costly to study systematically and rigorously without compromising scale, realism and external validity. With the proposed testbed, this paper sets a stepping stone to emulate, within small laboratory spaces, large sensing areas of interest originated from empirical data and simulation models. Over this sensing map, a swarm of low-cost drones can fly allowing the study of a large spectrum of problems such as energy consumption, charging control, navigation and collision avoidance. The applicability of a decentralized multi-agent collective learning algorithm (EPOS) for UAV swarm intelligence along with the assessment of power consumption measurements provide a proof-of-concept and validate the accuracy of the proposed testbed.","url":"https://arxiv.org/abs/2208.05914v1","authors":["Chuhao Qin","Fethi Candan","Lyudmila S. Mihaylova","Evangelos Pournaras"],"tags":["cs.RO","cs.DC"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2022-08-11T16:30:43Z","addedAt":"2026-08-06T22:48:52.795Z"},{"id":"arxiv:2604.27935v1","name":"Flying by Inference: Active Inference World Models for Adaptive UAV Swarms","source":"arxiv","abstract":"This paper presents an expert-guided active-inference-inspired framework for adaptive UAV swarm trajectory planning. The proposed method converts multi-UAV trajectory design from a repeated combinatorial optimization problem into a hierarchical probabilistic inference problem. In the offline phase, a genetic-algorithm planner with repulsive-force collision avoidance (GA--RF) generates expert demonstrations, which are abstracted into Mission, Route, and Motion dictionaries. These dictionaries are used to learn a probabilistic world model that captures how expert mission allocations induce route orders and how route orders induce motion-level behaviors. During online operation, the UAV swarm evaluates candidate actions by forming posterior beliefs over symbolic states and minimizing KL-divergence-based abnormality indicators with respect to expert-derived reference distributions. This enables mission allocation, route insertion, motion adaptation, and collision-aware replanning without rerunning the offline optimizer. Bayesian state estimators, including EKF and PF modules, are integrated at the motion level to improve trajectory correction under uncertainty. Simulation results show that the proposed framework preserves expert-like planning structure while producing smoother and more stable behavior than modified Q-learning. Additional validation using real-flight UAV trajectory data demonstrates that the learned world model can correct symbolic predictions under noisy and non-smooth observations, supporting its applicability to adaptive UAV swarm autonomy.","url":"https://arxiv.org/abs/2604.27935v1","authors":["Kaleem Arshid","Ali Krayani","Lucio Marcenaro","David Martin Gomez","Carlo Regazzoni"],"tags":["cs.RO","eess.SP","eess.SY"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2026-04-30T14:34:31Z","addedAt":"2026-08-06T22:48:52.795Z"},{"id":"arxiv:2601.14783v1","name":"Integrated Sensing, Communication and Control enabled Agile UAV Swarm","source":"arxiv","abstract":"Uncrewed aerial vehicle (UAV) swarms are pivotal in the applications such as disaster relief, aerial base station (BS) and logistics transportation. These scenarios require the capabilities in accurate sensing, efficient communication and flexible control for real-time and reliable task execution. However, sensing, communication and control are studied independently in traditional research, which limits the overall performance of UAV swarms. To overcome this disadvantage, we propose a deeply coupled scheme of integrated sensing, communication and control (ISCC) for UAV swarms, which is a systemic paradigm that transcends traditional isolated designs of sensing, communication and control by establishing a tightly-coupled closed-loop through the co-optimization of sensing, communication and control. In this article, we firstly analyze the requirements of scenarios and key performance metrics. Subsequently, the enabling technologies are proposed, including communication-and-control-enhanced sensing, sensing-and-control-enhanced communication, and sensing-and-communication-enhanced control. Simulation results validate the performance of the proposed ISCC framework, demonstrating its application potential in the future.","url":"https://arxiv.org/abs/2601.14783v1","authors":["Zhiqing Wei","Yucong Du","Zhiyong Feng","Haotian Liu","Yanpeng Cui","Tao Zhang","Ying Zhou","Huici Wu"],"tags":["eess.SP"],"confidence":0.78,"sites":["low-altitude"],"publishedDate":"2026-01-21T09:04:41Z","addedAt":"2026-08-06T22:48:52.795Z"},{"id":"doi:10.1201/9781003039327-8","name":"Routing in 3D UAV Swarm Networks","source":"crossref","abstract":"","url":"https://doi.org/10.1201/9781003039327-8","authors":["Katelyn Isbell","Yang-Ki Hong","Fei Hu"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2020-12-02T06:33:35Z","addedAt":"2026-08-06T22:48:52.795Z","doi":"10.1201/9781003039327-8","updatedAt":"2026-08-31T06:40:09.763Z"},{"id":"doi:10.1007/978-3-031-96444-2_3","name":"Intelligent UAV Swarm Routing","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-031-96444-2_3","authors":["Haipeng Yao","Tianle Mai"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-08-30T11:38:40Z","addedAt":"2026-08-06T22:48:52.795Z","doi":"10.1007/978-3-031-96444-2_3","updatedAt":"2026-08-31T06:40:09.763Z"},{"id":"doi:10.1007/978-3-031-96444-2_7","name":"Deterministic Network Empowered UAV Swarm","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-031-96444-2_7","authors":["Haipeng Yao","Tianle Mai"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-08-30T11:38:40Z","addedAt":"2026-08-06T22:48:52.795Z","doi":"10.1007/978-3-031-96444-2_7","updatedAt":"2026-08-31T06:40:09.763Z"},{"id":"doi:10.1007/978-3-031-96444-2_2","name":"Adaptive UAV Swarm Clustering and Networking","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-031-96444-2_2","authors":["Haipeng Yao","Tianle Mai"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-08-30T11:38:41Z","addedAt":"2026-08-06T22:48:52.795Z","doi":"10.1007/978-3-031-96444-2_2","updatedAt":"2026-08-31T06:40:09.763Z"},{"id":"doi:10.1007/978-3-031-96444-2_4","name":"Intelligent UAV Swarm Network Resource Scheduling","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-031-96444-2_4","authors":["Haipeng Yao","Tianle Mai"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-08-30T11:38:36Z","addedAt":"2026-08-06T22:48:52.795Z","doi":"10.1007/978-3-031-96444-2_4","updatedAt":"2026-08-31T06:40:09.763Z"},{"id":"doi:10.1007/978-3-031-96444-2_6","name":"Semantic Communication Empowered UAV Swarm Networks","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-031-96444-2_6","authors":["Haipeng Yao","Tianle Mai"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-08-30T11:38:54Z","addedAt":"2026-08-06T22:48:52.795Z","doi":"10.1007/978-3-031-96444-2_6","updatedAt":"2026-08-31T06:40:09.763Z"},{"id":"doi:10.5220/0011319900003286","name":"Position Optimization for Swarm-based UAV-to-UAV Communication Systems","source":"crossref","abstract":"","url":"https://doi.org/10.5220/0011319900003286","authors":["Mingzhi Xu","Kuan Wu","Jianchao Chen","Xiaojing Huang","Ming Jiang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2022-07-14T20:19:20Z","addedAt":"2026-08-06T22:48:52.795Z","doi":"10.5220/0011319900003286","updatedAt":"2026-08-31T06:40:09.763Z"},{"id":"doi:10.1007/978-3-031-96444-2_5","name":"Distributed Learning Empowered UAV Swarm Networks Cooperation","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-031-96444-2_5","authors":["Haipeng Yao","Tianle Mai"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-08-30T11:38:36Z","addedAt":"2026-08-06T22:48:52.795Z","doi":"10.1007/978-3-031-96444-2_5","updatedAt":"2026-08-31T06:40:09.763Z"},{"id":"doi:10.1201/9781003039327-9","name":"UAV Protocol Design for Computation Applications","source":"crossref","abstract":"","url":"https://doi.org/10.1201/9781003039327-9","authors":["Immanuel Manohar","Qian Mao"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2020-12-02T06:33:35Z","addedAt":"2026-08-06T22:48:52.795Z","doi":"10.1201/9781003039327-9","updatedAt":"2026-08-31T06:40:09.763Z"},{"id":"doi:10.7717/peerj-cs.3875/table-1","name":"Table 1: Key GNSS spoofing vulnerabilities in UAV swarm postal delivery systems.","source":"crossref","abstract":"","url":"https://doi.org/10.7717/peerj-cs.3875/table-1","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-05-05T08:53:42Z","addedAt":"2026-08-06T22:48:52.795Z","doi":"10.7717/peerj-cs.3875/table-1","updatedAt":"2026-08-31T06:40:09.763Z"},{"id":"doi:10.1109/tmc.2023.3298888/mm1","name":"Multi-Objective Optimization for UAV Swarm-Assisted IoT with Virtual Antenna Arrays_supp1-3298888.pdf","source":"crossref","abstract":"","url":"https://doi.org/10.1109/tmc.2023.3298888/mm1","authors":["Geng Sun"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-07-28T13:38:39Z","addedAt":"2026-08-06T22:48:52.795Z","doi":"10.1109/tmc.2023.3298888/mm1","updatedAt":"2026-08-31T06:40:09.763Z"},{"id":"doi:10.31274/rtd-180815-3951","name":"Virtual environment UAV swarm management using GPU calculated digital pheromones","source":"crossref","abstract":"","url":"https://doi.org/10.31274/rtd-180815-3951","authors":["Bryan Walter"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2018-08-13T19:11:38Z","addedAt":"2026-08-06T22:48:52.795Z","doi":"10.31274/rtd-180815-3951","updatedAt":"2026-08-31T06:40:09.763Z"},{"id":"doi:10.1201/9781003039327-4","name":"5G-Enabled UAV Communications","source":"crossref","abstract":"","url":"https://doi.org/10.1201/9781003039327-4","authors":["Iftikhar Rasheed","Fei Hu","Niloofar Toorchi"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2020-12-02T06:33:35Z","addedAt":"2026-08-06T22:48:52.795Z","doi":"10.1201/9781003039327-4","updatedAt":"2026-08-31T06:40:09.763Z"},{"id":"doi:10.37200/ijpr/v24i5/pr202051","name":"CAT Swarm Optimization Algorithm for Data Aggregation in UAV Assisted in UWSN","source":"crossref","abstract":"","url":"https://doi.org/10.37200/ijpr/v24i5/pr202051","authors":["Dr. Nagaraju V."],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2020-04-29T07:51:16Z","addedAt":"2026-08-06T22:48:52.795Z","doi":"10.37200/ijpr/v24i5/pr202051","updatedAt":"2026-08-31T06:40:09.763Z"},{"id":"doi:10.2139/ssrn.6669165","name":"A Co-Design Framework for UAV Logistics Infrastructure and Distributed UAV Swarm Scheduling","source":"crossref","abstract":"In large-scale UAV logistics systems, distributed scheduling has emerged as a key approach to overcoming the scalability limitations of centralized architectures. However, existing studies primarily focus on improving optimization algorithms, while largely overlooking the fundamental constraints imposed by the underlying communication topology. In real urban environments, heterogeneous spatial distributions often lead to poorly connected networks, which in turn become a critical bottleneck limiting distributed coordination efficiency.This paper investigates how communication topology shapes distributed scheduling performance from the perspective of coupling transportation infrastructure and information interaction. Building upon algebraic graph theory and distributed optimization, we establish a quantitative relationship between network connectivity and the convergence rate of cooperative errors, and show that, under construction cost constraints, system performance is subject to an inherent structural upper bound. To address this limitation, we propose a topology optimization method that enhances connectivity under realistic spatial constraints, and further develop a topology-aware distributed scheduling framework that enables joint design of infrastructure and coordination mechanisms.Experiments based on real-world logistics networks demonstrate that modest topology enhancements can accelerate system convergence and reduce scheduling delays under high-load conditions. Ablation studies further confirm that network connectivity plays a key role in determining overall system performance.Overall, this work reveals the mechanism linking transportation infrastructure topology to distributed coordination efficiency, and provides a principled approach to upgrading infrastructure from passive physical assets to active computational topology resources, offering theoretical support for the integration of computing and networking in future intelligent transportation systems.","url":"https://doi.org/10.2139/ssrn.6669165","authors":["Haoze Gu","Zhixin Qi","Dong Zejiao","Abaho  G. Gershome"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-04-28T18:08:02Z","addedAt":"2026-08-06T22:48:52.795Z","doi":"10.2139/ssrn.6669165","updatedAt":"2026-08-31T06:40:09.763Z"},{"id":"doi:10.1201/9781003039327-5","name":"Machine Learning for Multi-UAV Mobility Prediction","source":"crossref","abstract":"","url":"https://doi.org/10.1201/9781003039327-5","authors":["Viprav Raju","ShiZe Huang","DongXiu Ou"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2020-12-02T06:33:35Z","addedAt":"2026-08-06T22:48:52.795Z","doi":"10.1201/9781003039327-5","updatedAt":"2026-08-31T06:40:09.763Z"},{"id":"doi:10.12794/tef.2012.11","name":"Swarm-Copters Senior Design Project: Simulating UAV Swarm Networks Using Quadcopters for Search and Rescue Applications","source":"crossref","abstract":"","url":"https://doi.org/10.12794/tef.2012.11","authors":["Mark Moudy"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2014-05-23T19:59:24Z","addedAt":"2026-08-06T22:48:52.795Z","doi":"10.12794/tef.2012.11","updatedAt":"2026-08-31T06:40:09.763Z"},{"id":"doi:10.1201/9781003039327-1","name":"Communication Topology Analysis upon a Swarm of UAVs: A Survey","source":"crossref","abstract":"","url":"https://doi.org/10.1201/9781003039327-1","authors":["Chen Wang","Jin Zhao"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2020-12-02T01:33:35Z","addedAt":"2026-08-06T22:48:52.795Z","doi":"10.1201/9781003039327-1","updatedAt":"2026-08-31T06:40:09.763Z"},{"id":"doi:10.1201/9781003039327-11","name":"UAV Security Threats, Requirements and Solutions","source":"crossref","abstract":"","url":"https://doi.org/10.1201/9781003039327-11","authors":["Tonmoy Ghosh","Iftikhar Rasheed","Niloofar Toorchi","Fei Hu"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2020-12-02T06:33:35Z","addedAt":"2026-08-06T22:48:52.795Z","doi":"10.1201/9781003039327-11","updatedAt":"2026-08-31T06:40:09.763Z"},{"id":"doi:10.1201/9781003039327-13","name":"Resilient UAV Networks: Solutions and Trends","source":"crossref","abstract":"","url":"https://doi.org/10.1201/9781003039327-13","authors":["Zhiyong Xia","Fei Hu","Nathan Jeong","Iftikhar Rasheed"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2020-12-02T01:33:35Z","addedAt":"2026-08-06T22:48:52.795Z","doi":"10.1201/9781003039327-13","updatedAt":"2026-08-31T06:40:09.763Z"},{"id":"doi:10.1201/9781003039327-12","name":"Jamming Attacks and Countermeasures in UAV Networks","source":"crossref","abstract":"","url":"https://doi.org/10.1201/9781003039327-12","authors":["Delwar Hossain","Qian Mao","Immanuel Manohar","Fei Hu"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2020-12-02T06:33:35Z","addedAt":"2026-08-06T22:48:52.795Z","doi":"10.1201/9781003039327-12","updatedAt":"2026-08-31T06:40:09.763Z"},{"id":"doi:10.20944/preprints202509.1726.v1","name":"Simulation of Attacks on UAV Swarm with Repeater","source":"europepmc","abstract":"Study is devoted to the problem of interference protection for communication channels of Unmanned Aerial Vehicle (UAV) swarm during attacks, which is relevant due to the growth of threats in military and civilian applications (intelligence, monitoring, and logistics). The use of a repeater expands the range and coordination of the swarm, but increases vulnerability to attacks such as directional interference. A model was developed using NetCracker and includes Base Station, Repeater, Aerial Base Station, UAV swarm, and Attacker that simulates Denial-of-Service (DoS) attacks. The model allows analyzing the impact of interference on communication, taking into account Bit Error Rate (BER), delay, and throughput. The simulation results showed that at Time-Between-Transaction (TBT) of 0.01 s and Transaction Size (TS) of 100,000 bits, packet losses reach 30%. The novelty lies in the integration of networks with a repeater and real-time attack simulation, which fills the gaps in existing research.","url":"https://doi.org/10.20944/preprints202509.1726.v1","authors":["Volodymyr Kharchenko","Andrii Grekhov","Vasyl Kondratiuk"],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","addedAt":"2026-08-06T22:48:52.795Z","doi":"10.20944/preprints202509.1726.v1","updatedAt":"2026-08-31T06:40:09.763Z"},{"id":"doi:10.22541/au.172717399.97156304/v1","name":"Advanced LPV-MPC for UAV Control Using Particle Swarm Optimization","source":"europepmc","abstract":"With an increasing focus on both performance and efficiency, UAV control systems have made great progress. In this work, we extend a previous LPV-MPC technique by including a more simplified control system for UAVs. The proposed control method removes the requirement for a velocity controller by concentrating on improving MPC performance using Particle Swarm Optimization (PSO) of the weight matrices. This system uses PSO to balance control effort with trajectory ac-curacy and simplifies the control architecture, hence improving UAV control efficiency. It is especially appropriate for situations where simplicity and energy economy are absolutely important.","url":"https://doi.org/10.22541/au.172717399.97156304/v1","authors":["Abib Mohammed Hamza","Mesmoudi Asma"],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2024","addedAt":"2026-08-06T22:48:52.795Z","doi":"10.22541/au.172717399.97156304/v1","updatedAt":"2026-08-31T06:40:09.764Z"},{"id":"doi:10.1201/9781003263470-8","name":"Experiments on Formation Tracking for UAV and UGV Swarm Systems","source":"crossref","abstract":"","url":"https://doi.org/10.1201/9781003263470-8","authors":["Yongzhao Hua","Xiwang Dong","Ren Zhang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2022-02-08T02:01:36Z","addedAt":"2026-08-06T22:48:52.795Z","doi":"10.1201/9781003263470-8","updatedAt":"2026-08-31T06:40:09.763Z"},{"id":"doi:10.31219/osf.io/5ymsv_v1","name":"Swarm-based Object Tracking UAV Navigation System in Indoor Environments","source":"crossref","abstract":"This project focuses on developing a software algorithm for object tracking using unmanned aerial vehicles (UAVs) in indoor environments. The aim is to enable drones to detect, segment, estimate depth, and track dynamic objects—specifically humans and cars—while maintaining a consistent distance through automated controls. The system integrates state-of-the-art deep learning models, including YOLOv5 for object detection, Mask R-CNN and U-Net via Detectron2 for segmentation, and MiDaS for monocular depth estimation. Object tracking is implemented using a combination of DeepSORT and geometric techniques, supplemented by PID control for drone navigation. Data is prepared via web-scraping and manual image collection, with preprocessing and annotation using tools like Roboflow and PyTorch. The final output aims to provide a robust, real-time tracking mechanism suitable for constrained indoor drone navigation, demonstrating promising results across detection accuracy, depth estimation, and tracking reliability.","url":"https://doi.org/10.31219/osf.io/5ymsv_v1","authors":["Arpit Garg"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-05-09T10:06:05Z","addedAt":"2026-08-06T22:48:52.795Z","doi":"10.31219/osf.io/5ymsv_v1","updatedAt":"2026-08-31T06:40:09.763Z"},{"id":"doi:10.1201/9781003039327","name":"UAV Swarm Networks","source":"crossref","abstract":"","url":"https://doi.org/10.1201/9781003039327","authors":["Fei Hu"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2020-12-02T01:33:34Z","addedAt":"2026-08-06T22:48:52.795Z","doi":"10.1201/9781003039327","updatedAt":"2026-08-31T06:40:09.763Z"},{"id":"doi:10.5220/0015108900005244","name":"Resource Optimization Allocation of UAV Swarm Based on Dispersion Quantification and DDPG Algorithm","source":"crossref","abstract":"","url":"https://doi.org/10.5220/0015108900005244","authors":["Keyuan Zhu"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-07-29T18:28:53Z","addedAt":"2026-08-06T22:48:52.795Z","doi":"10.5220/0015108900005244","updatedAt":"2026-08-31T06:40:09.763Z"},{"id":"doi:10.1109/lgrs.2023.3305675/mm1","name":"Vision-Based Multiobject Tracking Through UAV Swarm_supp1-3305675.mp4","source":"crossref","abstract":"","url":"https://doi.org/10.1109/lgrs.2023.3305675/mm1","authors":["Shaoming He"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-09-07T13:48:40Z","addedAt":"2026-08-06T22:48:52.795Z","doi":"10.1109/lgrs.2023.3305675/mm1","updatedAt":"2026-08-31T06:40:09.763Z"},{"id":"doi:10.1201/9781003039327-14","name":"Empirical Evaluation of a Complete Hardware and Software Solution for UAV Swarm Networks","source":"crossref","abstract":"","url":"https://doi.org/10.1201/9781003039327-14","authors":["Carlos Felipe Emygdio De Melo","Maik Basso","Marcos Rodrigues Vizzotto","Matheus Schein Cavalheiro Correa","T'U Lio Dapper E Silva","Edison Pignaton De Freitas"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2020-12-02T06:33:35Z","addedAt":"2026-08-06T22:48:52.795Z","doi":"10.1201/9781003039327-14","updatedAt":"2026-08-31T06:40:09.763Z"},{"id":"doi:10.1109/tmc.2025.3583510/mm1","name":"UAV Swarm-Enabled Collaborative Post-Disaster Communications in Low Altitude Economy Via a Two-Stage Optimization Approach_supp1-3583510.pdf","source":"crossref","abstract":"","url":"https://doi.org/10.1109/tmc.2025.3583510/mm1","authors":["Geng Sun"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-07-04T13:52:58Z","addedAt":"2026-08-06T22:48:52.795Z","doi":"10.1109/tmc.2025.3583510/mm1","updatedAt":"2026-08-31T06:40:09.763Z"},{"id":"doi:10.1201/9781003039327-7","name":"Skeleton Extraction of Routing Topology in UAV Networks","source":"crossref","abstract":"","url":"https://doi.org/10.1201/9781003039327-7","authors":["Zhe Chu","Lin Zhang","Zhijing Ye","Fei Hu","Bao Ke"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2020-12-02T06:33:35Z","addedAt":"2026-08-06T22:48:52.795Z","doi":"10.1201/9781003039327-7","updatedAt":"2026-08-31T06:40:09.763Z"},{"id":"doi:10.3390/books978-3-0365-8658-8","name":"Intelligent Coordination of UAV Swarm Systems","source":"crossref","abstract":"","url":"https://doi.org/10.3390/books978-3-0365-8658-8","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-09-29T10:42:31Z","addedAt":"2026-08-06T22:48:52.795Z","doi":"10.3390/books978-3-0365-8658-8","updatedAt":"2026-08-31T06:40:09.763Z"},{"id":"doi:10.21203/rs.3.rs-113835/v1","name":"Swarm-based Counter UAV Defense System","source":"preprints","abstract":"Abstract Unmanned Aerial Vehicles (UAVs) have quickly become one of the promising Internet-of-Things (IoT) devices for smart cities thanks to their mobility, agility, and onboard sensors' customizability. UAVs are used in many applications expanding beyond the military to more commercial ones, ranging from monitoring, surveillance, mapping to parcel delivery. As governments plan using UAVs to build fresh economic potential for innovation, urban planners are moving forward to incorporate so-called UAV flight zones and UAV highways in their smart city design. However, the high-speed and dynamic flow of UAVs needs to be monitored to detect and, subsequently, to deal with intruders, rough drones, and UAVs with a malicious intent. Autonomous defense systems consisting of collaboratively working UAVs as a swarm will gain increasing importance, since a manually conducted defense is bound to fail due to the high dynamics involved in UAV maneuvering. This paper proposes a UAV defense system for intercepting and escorting intruders. The proposed UAV defense system consists of a defense UAV swarm, which is capable to self-organize their defense formation in the event of intruder detection, and chase the malicious UAV. Our fully localized approach follows a modular design regarding the defense phases and it uses a newly developed balanced clustering to realize the intercept- and capture-formation. The resulting networked defense UAV swarm is resilient against communication losses. Finally, a prototype UAV simulator has been implemented. Through extensive simulations, we demonstrate the feasibility and performance of our approach.","url":"https://doi.org/10.21203/rs.3.rs-113835/v1","authors":["Matthias Brust","Grégoire Danoy","Daniel Stolfi","Pascal Bouvry"],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2020","addedAt":"2026-08-06T22:48:52.795Z","doi":"10.21203/rs.3.rs-113835/v1","updatedAt":"2026-08-31T06:40:09.763Z"},{"id":"doi:10.21203/rs.3.rs-4485764/v1","name":"Utilizing hybrid MCDM models for analyzing UAV swarm","source":"europepmc","abstract":"Abstract Unmanned Aerial Vehicle (UAV) swarm can not only carry out tasks in dangerous or inaccessible areas, but also reduce the cost and simplify the manpower required. Multiple criteria decision making (MCDM) is rarely used to explore UAV swarm; therefore, the purpose of this research is to construct a decision model for evaluating and improving criteria of UAV swarm. To probe into the interrelationship and influential weights of criteria, this study utilizes hybrid MCDM models including decision-making trial and evaluation laboratory (DEMATEL) to investigate the interdependent problems among criteria for establishing the influential network relation map (INRM), and DEMATEL-based analytic network process (DANP) to obtain the influential weights. According to DEMATEL technique, the results indicate that criteria of UAV swarm have self-effect relationships. The dimension of UAV swarm that should be improved first when increasing the performance is entity based on the INRM. In the four criteria for evaluation by DANP, the criterion of vulnerability has the highest influential weight, followed by connectivity, vehicle, and communication. This paper uses hybrid MCDM models and investigates the standpoints of experts to make up the insufficiency in UAV swarm.","url":"https://doi.org/10.21203/rs.3.rs-4485764/v1","authors":["Hung-Jia Tsuei","Gwo-Hshiung Tzeng"],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2024","addedAt":"2026-08-06T22:48:52.795Z","doi":"10.21203/rs.3.rs-4485764/v1","updatedAt":"2026-08-31T06:40:09.764Z"},{"id":"doi:10.15368/theses.2018.127","name":"Modeling and Simulation of Vehicle Performance in a UAV Swarm Using Horizon Simulation Framework","source":"crossref","abstract":"","url":"https://doi.org/10.15368/theses.2018.127","authors":["Adam J. Frye"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2020-04-22T19:36:18Z","addedAt":"2026-08-06T22:48:52.795Z","doi":"10.15368/theses.2018.127","updatedAt":"2026-08-31T06:40:09.763Z"},{"id":"doi:10.1109/tmc.2023.3331906/mm1","name":"The Data Value based Asynchronous Federated Learning for UAV Swarm under Unstable Communication Scenarios_supp1-3331906.pdf","source":"crossref","abstract":"","url":"https://doi.org/10.1109/tmc.2023.3331906/mm1","authors":["Tao Yang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-11-14T14:15:20Z","addedAt":"2026-08-06T22:48:52.795Z","doi":"10.1109/tmc.2023.3331906/mm1","updatedAt":"2026-08-31T06:40:09.763Z"},{"id":"doi:10.1016/j.swevo.2021.100956","name":"Moving peak drone search problem: An online multi-swarm intelligence approach for UAV search operations","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.swevo.2021.100956","authors":["Nikolaos A. Kyriakakis","Magdalene Marinaki","Nikolaos Matsatsinis","Yannis Marinakis"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2021-07-31T02:30:29Z","addedAt":"2026-08-06T22:48:52.795Z","doi":"10.1016/j.swevo.2021.100956","updatedAt":"2026-08-31T06:40:09.763Z"},{"id":"doi:10.1201/9781003039327-6","name":"Routing and Mobility Models for Ad Hoc UAV Networks","source":"crossref","abstract":"","url":"https://doi.org/10.1201/9781003039327-6","authors":["Jared Helton","Qian Mao","Immanuel Manohar","Fei Hu","Haijun Wang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2020-12-02T06:33:35Z","addedAt":"2026-08-06T22:48:52.795Z","doi":"10.1201/9781003039327-6","updatedAt":"2026-08-31T06:40:09.763Z"},{"id":"doi:10.1109/apwimob51111.2021.9435240","name":"Guidance Law for a Surveillance UAV Swarm Tracking a High Capability Malicious UAV","source":"crossref","abstract":"","url":"https://doi.org/10.1109/apwimob51111.2021.9435240","authors":["Jason Brown","Nawin Raj"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2021-05-28T20:26:26Z","addedAt":"2026-08-06T22:48:52.795Z","doi":"10.1109/apwimob51111.2021.9435240","updatedAt":"2026-08-31T06:40:09.763Z"},{"id":"doi:10.2139/ssrn.5175716","name":"Chaos Meets Levy Flight: An Enhanced Spherical Particle Swarm Optimization for Uav Path Planning","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.5175716","authors":["Li Zhijie"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-03-12T08:41:42Z","addedAt":"2026-08-06T22:48:52.795Z","doi":"10.2139/ssrn.5175716","updatedAt":"2026-08-31T06:40:09.763Z"},{"id":"doi:10.1007/979-8-8688-1047-3_9","name":"Blockchain Application in UAV Swarm Security","source":"crossref","abstract":"","url":"https://doi.org/10.1007/979-8-8688-1047-3_9","authors":["Faisal Rehman","Junaid Akbar","Muhammad Abid Mehmood"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-02-28T01:30:40Z","addedAt":"2026-08-06T22:48:52.795Z","doi":"10.1007/979-8-8688-1047-3_9","updatedAt":"2026-08-31T06:40:09.763Z"},{"id":"doi:10.2139/ssrn.6646718","name":"Distributed Swarm Management through Digital-Twin Consensus in UAV-Assisted Networks","source":"crossref","abstract":"Flying Ad Hoc Networks (FANETs) enable rapid deployment of UAV-assisted connectivity and edge services in scenarios where conventional infrastructure is limited or absent. However, most management approaches for these networks rely on a ground control station, which introduces a single point of failure and undermines the ad hoc nature of the deployment. This paper proposes a fully infrastructure-independent management architecture in which a Digital Twin of the UAV swarm is instantiated as the world state of a permissioned blockchain (Hyperledger Fabric) distributed across the aerial nodes themselves. Swarm management operations are encoded as smart-contract logic and agreed upon through the execute-order-validate consensus pipeline, ensuring policy-faithful, auditable, and concurrency-safe execution without reliance on permanent ground infrastructure. A resource-aware role distribution assigns ordering, endorsing, and client responsibilities to UAVs according to their available capacity, keeping the blockchain workload compatible with constrained hardware. We validate the architecture with a proof of concept: a four-node Raspberry Pi cluster running Hyperledger Fabric 2.5. Experimental results show an average endorsed-transaction latency of 3.6 s, a sustained throughput of 0.26 TPS (transactions per second) under sequential submission, service handover coordination in 13.2 s across four blockchain-enforced phases, and 100% MVCC-based conflict detection under concurrent role claims. These results confirm the feasibility of decentralized, blockchain-backed Digital Twin management for UAV swarms on resource-constrained edge hardware.","url":"https://doi.org/10.2139/ssrn.6646718","authors":["Sergio Frejo-Martín","Jaime Galán-Jiménez"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-04-25T12:36:39Z","addedAt":"2026-08-06T22:48:52.795Z","doi":"10.2139/ssrn.6646718","updatedAt":"2026-08-31T06:40:09.763Z"},{"id":"doi:10.21203/rs.3.rs-2900211/v1","name":"Research on Path Planning of UAV Swarm for Decapitation Strike","source":"europepmc","abstract":"Abstract Decapitation strike is an important part of modern war, which could achieve significant effect at a small cost. With the rapid improvement of unmanned aerial vehicle (UAV) swarm's ability to carry out reconnaissance and strike missions, this combat mission can be performed by UAV swarm instead of ground special forces or fighters. Based on the analysis of mission profiling, this article establishes the mission model and threat area model of decapitation strike. Then, combining Bézier curve with receding planning framework, an Optimized model for UAV swarm path planning under the condition of full coverage antiaircraft firepower is proposed. The simulation results show that the model and improved algorithm in this paper can effectively solve the path planning problem of UAV swarm in the face of full coverage threat. The research can make up for the defects of the traditional \"Cross Gaps\" path planning algorithm in solving the problem of crossing threat areas, and provide effective guidance for UAV swarm to perform the decapitation missions.","url":"https://doi.org/10.21203/rs.3.rs-2900211/v1","authors":["Zhihao Zhang","xiaodong liu","Boyu Feng"],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2023","addedAt":"2026-08-06T22:48:52.795Z","doi":"10.21203/rs.3.rs-2900211/v1","updatedAt":"2026-08-31T06:40:09.763Z"},{"id":"doi:10.34121/1028-9763-2025-3-4-90-100","name":"Embedded models of UAV swarm control algorithm","source":"crossref","abstract":"This paper presents an approach to the embedded system software implementation based on a Model-View-Controller (MVC) architecture, specially modified for the multi-agent domain. It aims to solve the poor scalability and single-point-of-failure risks associated with centralized, cyclic-polling architectures in unmanned aerial vehicle (UAV) swarms. In this novel interpreta-tion, the UAV swarm itself is re-envisioned as the User, a continuously updated state of the Control E-Network (CEN) (token markings and attributes) serves as the View, and the net-work’s transitions and listeners function as the Controller, manipulating the model. The model itself is expressed as a CEN that is an extension of Petri nets for control purposes. The places and data of CEN represent the agent’s state, but in general, CEN provides a control algorithm view as a set of transitions and their related places to implement event-driven logic. At the same time, listeners integrate external input signals and generate output commands in a fully reactive manner. The resulting chain-driven, event-oriented execution eliminates cyclic polling, reduces CPU overhead, simultaneously supporting synchronous, asynchronous, and parallel event processing in real time. The paper details the Python-based data structures — places, transitions, queues/stacks, thread pool, and reactive listeners, — together with a dynamic verifi-cation method that automatically collects statistics on transition activity and timing, enabling on-the-fly profiling and detection of performance bottlenecks. A comprehensive example demonstrates an agent program with a three-layered (reactive, planning, and cooperative) con-trol model that reacts in parallel to sensor events, performs delayed actions, and synchronizes results through a joining transition, thereby confirming the effectiveness of the proposed ap-proach for multi-agent applications.","url":"https://doi.org/10.34121/1028-9763-2025-3-4-90-100","authors":["P.D. Oleksiienko","V.V. Kazymyr"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-12-29T09:21:46Z","addedAt":"2026-08-06T22:48:52.795Z","doi":"10.34121/1028-9763-2025-3-4-90-100","updatedAt":"2026-08-31T06:40:09.763Z"},{"id":"doi:10.2139/ssrn.4713415","name":"Age of Information Optimal Uav Swarm-Assisted Sweep Coverage in Wireless Sensor Networks","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.4713415","authors":["Li Li","Hongbin Chen"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-02-01T13:18:10Z","addedAt":"2026-08-06T22:48:52.795Z","doi":"10.2139/ssrn.4713415","updatedAt":"2026-08-31T06:40:09.763Z"},{"id":"doi:10.1109/uemcon51285.2020.9298062","name":"Performance Evaluation for Tracking a Malicious UAV using an Autonomous UAV Swarm","source":"crossref","abstract":"","url":"https://doi.org/10.1109/uemcon51285.2020.9298062","authors":["Christopher Arnold","Jason Brown"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2020-12-25T16:47:33Z","addedAt":"2026-08-06T22:48:52.795Z","doi":"10.1109/uemcon51285.2020.9298062","updatedAt":"2026-08-31T06:40:09.763Z"},{"id":"doi:10.2139/ssrn.4542890","name":"Uav Swarm For Age of Information Optimal Sweep Coverage in Wireless Sensor Networks","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.4542890","authors":["Li Li","Hongbin Chen"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-08-16T19:18:31Z","addedAt":"2026-08-06T22:48:52.795Z","doi":"10.2139/ssrn.4542890","updatedAt":"2026-08-31T06:40:09.763Z"},{"id":"doi:10.31224/6532","name":"Geometry-Aware Moving Viewpoint Particle Swarm Optimisation for Efficient UAV Facade Coverage","source":"crossref","abstract":"Inspection of high-rise building façades is critical for structural assessment, emergency response, and risk mitigation in dense urban environments. While Unmanned Aerial Vehicles (UAVs) provide a safe and flexible platform for data acquisition, the effectiveness of UAVbased inspection is fundamentally constrained by coverage path planning. Conventional optimisation approaches typically operate over static, precomputed viewpoint sets or abstract search spaces, limiting adaptability in complex, concave, and partially occluded geometries. This work proposes a geometry-aware moving-viewpoint Particle Swarm Optimisation (VPSO) framework for UAV façade coverage planning. In the proposed formulation, viewpoints are treated as movable agents constrained by local surface geometry, and the search space is reduced from three spatial degrees of freedom to a single angular parameter. By embedding geometric feasibility directly into the optimisation process, the method integrates coverage optimisation with continuous surface-aware motion. The approach is evaluated against a conventional PSO baseline across three building geometries of increasing complexity. Results demonstrate improved optimisation stability, higher coverage efficiency, and enhanced robustness in non-convex and occluded environments. The proposed framework provides a foundation for unified coverage and trajectory optimisation in UAV-based structural inspection.","url":"https://doi.org/10.31224/6532","authors":["Manit Agarwal","Svetha Venkatachari","Prathyush Menon"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-03-02T21:24:05Z","addedAt":"2026-08-06T22:48:52.795Z","doi":"10.31224/6532","updatedAt":"2026-08-31T06:40:09.763Z"},{"id":"doi:10.2139/ssrn.5291174","name":"Adaptive Critical Link Detection for Robust Connectivity in Uav Swarm Networks","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.5291174","authors":["ERCAN ERKALKAN","Vedat Topuz","Ali Buldu"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-06-12T13:43:15Z","addedAt":"2026-08-06T22:48:52.795Z","doi":"10.2139/ssrn.5291174","updatedAt":"2026-08-31T06:40:09.763Z"},{"id":"doi:10.1007/979-8-8688-1047-3_5","name":"5G Integration for Enhanced UAV Swarm Connectivity","source":"crossref","abstract":"","url":"https://doi.org/10.1007/979-8-8688-1047-3_5","authors":["Faisal Rehman","Muhammad Hammad Nawaz","Shanza Gul"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-02-28T01:31:13Z","addedAt":"2026-08-06T22:48:52.795Z","doi":"10.1007/979-8-8688-1047-3_5","updatedAt":"2026-08-31T06:40:09.763Z"},{"id":"doi:10.1201/9781003039327-3","name":"Formation Control of Networked UAVs","source":"crossref","abstract":"","url":"https://doi.org/10.1201/9781003039327-3","authors":["Guiqin Yang","Fei Hu"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2020-12-02T06:33:35Z","addedAt":"2026-08-06T22:48:52.795Z","doi":"10.1201/9781003039327-3","updatedAt":"2026-08-31T06:40:09.763Z"},{"id":"doi:10.5220/0015050500004015","name":"YOLO11-Based Drone Swarm Detection: An Advanced Deep Learning Based Approach for Anti-UAV Systems","source":"crossref","abstract":"","url":"https://doi.org/10.5220/0015050500004015","authors":["Hafedh Jouini","Hamza Gharsellaoui","Mohamed Khalgui"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-05-26T02:26:12Z","addedAt":"2026-08-06T22:48:52.795Z","doi":"10.5220/0015050500004015","updatedAt":"2026-08-31T06:40:08.029Z"},{"id":"doi:10.1016/j.swevo.2025.102184","name":"A parameter-less decoupling strategic adjustments method for shape reconfiguration of UAV swarm","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.swevo.2025.102184","authors":["Ziquan Wang","Juan Li","Chang Liu","Jie Li"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-10-15T16:51:53Z","addedAt":"2026-08-06T22:48:52.795Z","doi":"10.1016/j.swevo.2025.102184","updatedAt":"2026-08-31T06:40:09.763Z"},{"id":"doi:10.1109/wsc.2004.1371336","name":"Parallel Simulation of UAV Swarm Scenarios","source":"crossref","abstract":"","url":"https://doi.org/10.1109/wsc.2004.1371336","authors":["J.J. Corner","G.B. Lamont"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2005-04-05T14:48:50Z","addedAt":"2026-08-06T22:48:52.795Z","doi":"10.1109/wsc.2004.1371336","updatedAt":"2026-08-31T06:40:09.763Z"},{"id":"doi:10.5220/0015108500005244","name":"Modeling and Hierarchical Optimization of Smoke Jammer Deployment Strategies for UAV Swarm Cooperative Countermeasures","source":"crossref","abstract":"","url":"https://doi.org/10.5220/0015108500005244","authors":["Yuqiong Feng","Hang Lin","Dongyan Huang","Zhengbo Li"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-07-29T18:07:08Z","addedAt":"2026-08-06T22:48:52.795Z","doi":"10.5220/0015108500005244","updatedAt":"2026-08-31T06:40:09.763Z"},{"id":"doi:10.1016/j.neucom.2012.06.053","name":"Immune network-based swarm intelligence and its application to unmanned aerial vehicle (UAV) swarm coordination","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.neucom.2012.06.053","authors":["Liguo Weng","Qingshan Liu","Min Xia","Y.D. Song"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2013-03-26T06:33:22Z","addedAt":"2026-08-06T22:48:52.795Z","doi":"10.1016/j.neucom.2012.06.053","updatedAt":"2026-08-31T06:40:08.029Z"},{"id":"doi:10.36227/techrxiv.22581832.v1","name":"Optimal UAV Placement in 3D Space for Enhanced Communication Performance: A Multi-Objective Particle Swarm Optimization Approach","source":"crossref","abstract":"This paper presents an optimization framework for an Unmanned Aerial Vehicle (UAV) assisted communication system. The goal is to determine the optimal placement of the UAV in three-dimensional space (xu, yu, zu) to minimize power consumption and maximize data rate while maintaining a desired bit error rate (BER). We first establish a mathematical model that captures the relationship between the UAV’s position, power consumption, data rate, and BER, considering free space path loss. Such a mathematical model is achieved in a static network environment and by employing the Multi-objective Particle Swarm Optimization (MOPSO) algorithm, which concurrently explores the solution space, seeking the ideal position (xu, yu, zu) that balances power consumption and data rate.We then extend the proposed framework to adapt to dynamic network environments while satisfying user demands. By adjusting the proposed system for static and dynamic network conditions, our enhanced framework ensures the UAV-assisted communication system remains efficient and effective. Theoretical analysis results, demonstrated through various examples, show that our proposed solution effectively balances delay and power consumption while maintaining the desired BER in UAV networks.","url":"https://doi.org/10.36227/techrxiv.22581832.v1","authors":["Muhammad Khalil"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-04-11T12:23:12Z","addedAt":"2026-08-06T22:48:52.795Z","doi":"10.36227/techrxiv.22581832.v1","updatedAt":"2026-08-31T06:40:08.029Z"},{"id":"doi:10.1007/978-3-031-96444-2","name":"UAV Swarm Cooperation","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-031-96444-2","authors":["Haipeng Yao","Tianle Mai"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-08-30T11:38:36Z","addedAt":"2026-08-06T22:48:52.795Z","doi":"10.1007/978-3-031-96444-2","updatedAt":"2026-08-31T06:40:08.029Z"},{"id":"doi:10.1117/12.3039441","name":"Swarm UAV scene simulation based on differential flatness and swarm intelligence","source":"crossref","abstract":"","url":"https://doi.org/10.1117/12.3039441","authors":["Qingchen Zhou","Xianzhao shen","Mingming Xu"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-08-28T15:45:50Z","addedAt":"2026-08-06T22:48:52.795Z","doi":"10.1117/12.3039441","updatedAt":"2026-08-31T06:40:09.763Z"},{"id":"doi:10.1016/j.swevo.2026.102471","name":"Task-driven Decentralized Decision-making Method for UAV Swarm with Behavior Regulation under Communication Delay","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.swevo.2026.102471","authors":["Ziwei Xin","Juan Li","Jie Li","Chang Liu"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-07-17T13:29:13Z","addedAt":"2026-08-06T22:48:52.795Z","doi":"10.1016/j.swevo.2026.102471","updatedAt":"2026-08-31T06:40:08.029Z"},{"id":"doi:10.4018/ijsir.307105","name":"A Learning Vector Particle Swarm Algorithm Incorporating Sparrow for UAV Path Planning","source":"crossref","abstract":"UAV path planning has become a research hotspot in the current era. In order to make UAV plan the route reasonably in the real environment, this paper proposes a learning vector particle swarm optimization algorithm (slpso) based on sparrow, which uses vector decomposition of individual position to control the safety in the path; Firstly, the elite secondary reverse learning strategy is used to increase the distribution of the population; Then, the discoverer phase of sparrow search algorithm is introduced to update the optimal location of particle swarm optimization algorithm and enhance the population diversity. When the algorithm comes to a standstill, a one-dimensional learning strategy is used to improve the subsequent optimization means to help the algorithm jump out of the local optimization. Through the path planning experiments of the two models and Wilcoxon rank sum test, it can be seen that slpso has better effect than other algorithms in terms of path planning and convergence speed, and the route planned in complex environment is more secure and stable.","url":"https://doi.org/10.4018/ijsir.307105","authors":["Chunan Hu","Mingjie Deng","Donglin Zhu"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2022-08-19T09:05:37Z","addedAt":"2026-08-06T22:48:52.795Z","doi":"10.4018/ijsir.307105","updatedAt":"2026-08-31T06:40:08.029Z"},{"id":"doi:10.1145/3206185.3206188","name":"Defense Success Rate Evaluation for UAV Swarm Defense System","source":"crossref","abstract":"","url":"https://doi.org/10.1145/3206185.3206188","authors":["Xiaonan Zhang","Pengcheng Luo","Xinwu Hu"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2018-10-30T12:11:24Z","addedAt":"2026-08-06T22:48:52.795Z","doi":"10.1145/3206185.3206188","updatedAt":"2026-08-31T06:40:08.029Z"},{"id":"doi:10.1109/icccs52626.2021.9449283","name":"A Cooperative Search Algorithm Based on Improved Particle Swarm Optimization Decision for UAV Swarm","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icccs52626.2021.9449283","authors":["Ren Zhicai","Bo Jiang","Xu Hong"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2021-06-21T16:41:56Z","addedAt":"2026-08-06T22:48:52.795Z","doi":"10.1109/icccs52626.2021.9449283","updatedAt":"2026-08-31T06:40:08.029Z"},{"id":"doi:10.1201/9781032693217-5","name":"Search and Rescue Using UAV SWARM in Disaster Management: A Survey","source":"crossref","abstract":"","url":"https://doi.org/10.1201/9781032693217-5","authors":["Prakarsh Srivastava","J. Sathish Kumar"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-02-27T11:51:11Z","addedAt":"2026-08-06T22:48:52.795Z","doi":"10.1201/9781032693217-5","updatedAt":"2026-08-31T06:40:08.029Z"},{"id":"doi:10.1007/s11721-021-00193-7","name":"CONSOLE: intruder detection using a UAV swarm and security rings","source":"crossref","abstract":"","url":"https://doi.org/10.1007/s11721-021-00193-7","authors":["Daniel H. Stolfi","Matthias R. Brust","Grégoire Danoy","Pascal Bouvry"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2021-05-19T12:02:54Z","addedAt":"2026-08-06T22:48:52.795Z","doi":"10.1007/s11721-021-00193-7","updatedAt":"2026-08-31T06:40:08.029Z"},{"id":"doi:10.1109/icus50048.2020.9274974","name":"Analysis of military application of UAV swarm technology","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icus50048.2020.9274974","authors":["Zhu Xiaoning"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2020-12-07T23:22:52Z","addedAt":"2026-08-06T22:48:52.795Z","doi":"10.1109/icus50048.2020.9274974","updatedAt":"2026-08-31T06:40:08.029Z"},{"id":"doi:10.22541/au.173184489.97469408/v1","name":"SwarmL: UAV swarm task description language with AI policies enhancement","source":"europepmc","abstract":"In recent years, unmanned aerial vehicle (UAV) swarms have gained traction in diverse fields, such as disaster relief and agricultural production. However, programming tasks for UAV swarms presents significant challenges due to their scale, task complexity, and the need for autonomy and collaboration. To address these issues, we propose SwarmL, a task description language specifically designed for orchestrating UAV swarm operations, accompanied by its runtime interpreter. SwarmL features several key attributes: (1) a clear task decomposition framework with a “Main-Task-Behavior-Action” structure and “init-goal-routine” control flow; (2) integration of trained AI policies into swarm task execution; (3) support for concurrent operations through language primitives like “each” and “||”, enabling concise descriptions of multi-level concurrency among groups, UAVs, and devices; and (4) collaborative capabilities via a blackboard system that facilitates autonomous communication among UAVs. To illustrate the usability of SwarmL and its interpreter, we present a search-and-delivery task within the Airsim simulator, successfully integrating policies from the DQN reinforcement learning algorithm. This example demonstrates effective concurrent management, allowing multiple UAVs to execute tasks simultaneously while enhancing cooperation between search and delivery UAVs through the blackboard system.","url":"https://doi.org/10.22541/au.173184489.97469408/v1","authors":["Shaocong Ma","Liang Wang","Wen Wang","Hao Hu","Xianping Tao"],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2024","addedAt":"2026-08-06T22:48:52.795Z","doi":"10.22541/au.173184489.97469408/v1","updatedAt":"2026-08-31T06:40:09.764Z"},{"id":"doi:10.1109/acc.2007.4282177","name":"Swarm Intelligence based Collision Avoidance Between Realistically Modelled UAV Clusters","source":"crossref","abstract":"","url":"https://doi.org/10.1109/acc.2007.4282177","authors":["Rajnikant Sharma","D Ghose"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2007-08-08T12:01:54Z","addedAt":"2026-08-06T22:48:52.795Z","doi":"10.1109/acc.2007.4282177","updatedAt":"2026-08-31T06:40:08.029Z"},{"id":"doi:10.1109/cec.2011.5949829","name":"The preliminary study on multi-swarm sharing particle swarm optimization: Applied to UAV path planning problem","source":"crossref","abstract":"","url":"https://doi.org/10.1109/cec.2011.5949829","authors":["Chih-Li Huo","Tzu-Ying Lai","Tsung-Ying Sun"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2011-07-20T20:51:24Z","addedAt":"2026-08-06T22:48:52.795Z","doi":"10.1109/cec.2011.5949829","updatedAt":"2026-08-31T06:40:08.029Z"},{"id":"doi:10.70286/isu-15.10.2025.012","name":"ENVIRONMENT SELECTION FOR UAV SWARM SIMULATION WITH ONTOLOGY, LLM AND RL","source":"crossref","abstract":"","url":"https://doi.org/10.70286/isu-15.10.2025.012","authors":["Ihor Rohatskyi"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-10-19T20:26:00Z","addedAt":"2026-08-06T22:48:52.795Z","doi":"10.70286/isu-15.10.2025.012","updatedAt":"2026-08-31T06:40:08.029Z"},{"id":"doi:10.1007/979-8-8688-1047-3_17","name":"Advancement in ML Techniques and Applications for UAV Swarm Management","source":"crossref","abstract":"","url":"https://doi.org/10.1007/979-8-8688-1047-3_17","authors":["Yasir khan","A. Sabitha Banu","Junaid Yousaf"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-02-28T01:28:56Z","addedAt":"2026-08-06T22:48:52.795Z","doi":"10.1007/979-8-8688-1047-3_17","updatedAt":"2026-08-31T06:40:08.029Z"},{"id":"doi:10.1007/979-8-8688-1047-3_20","name":"Innovations and Future Directions in UAV Swarm for Protecting Smart Cities","source":"crossref","abstract":"","url":"https://doi.org/10.1007/979-8-8688-1047-3_20","authors":["Manish Thakra","Trisha Polly","Nilesh Jadhav"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-02-27T20:30:19Z","addedAt":"2026-08-06T22:48:52.795Z","doi":"10.1007/979-8-8688-1047-3_20","updatedAt":"2026-08-31T06:40:08.029Z"},{"id":"doi:10.1109/mdm65600.2025.00026","name":"V-USDT: Vision-Based UAV Swarm Detection and Tracking by Leveraging Swarm Formation Constraints","source":"crossref","abstract":"","url":"https://doi.org/10.1109/mdm65600.2025.00026","authors":["Md. Hasibur Rahman","Sanjay Madria"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-07-08T13:36:14Z","addedAt":"2026-08-06T22:48:52.795Z","doi":"10.1109/mdm65600.2025.00026","updatedAt":"2026-08-31T06:40:08.029Z"},{"id":"doi:10.1109/naecon.2008.4806544","name":"Autonomous Self Organized UAV Swarm Systemis","source":"crossref","abstract":"","url":"https://doi.org/10.1109/naecon.2008.4806544","authors":["Dustin J. Nowak","Gary B. Lamont"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2009-04-01T15:46:13Z","addedAt":"2026-08-06T22:48:52.795Z","doi":"10.1109/naecon.2008.4806544","updatedAt":"2026-08-31T06:40:08.029Z"},{"id":"doi:10.36334/modsim.2023.borazjani","name":"A review of UAV swarm-based detection of a dynamic contamination plume","source":"crossref","abstract":"","url":"https://doi.org/10.36334/modsim.2023.borazjani","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-08-08T02:35:28Z","addedAt":"2026-08-06T22:48:52.795Z","doi":"10.36334/modsim.2023.borazjani","updatedAt":"2026-08-31T06:40:08.029Z"},{"id":"doi:10.1109/tmc.2024.3350885/mm1","name":"UAV Swarm-enabled Collaborative Secure Relay Communications with Time-domain Colluding Eavesdropper_supp1-3350885.pdf","source":"crossref","abstract":"","url":"https://doi.org/10.1109/tmc.2024.3350885/mm1","authors":["Geng Sun"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-01-09T15:51:47Z","addedAt":"2026-08-06T22:48:52.795Z","doi":"10.1109/tmc.2024.3350885/mm1","updatedAt":"2026-08-31T06:40:08.029Z"},{"id":"doi:10.1109/icnc68183.2026.11416994","name":"Implementation of UAV Swarm Flight Exploration based on Mobile Sensing Clusters Using Swarm Intelligence","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icnc68183.2026.11416994","authors":["Shoma Nishigami","Eiji Nii","Naoki Hashimoto","Hiroyuki Yomo","Yasuhisa Takizawa"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-03-09T19:55:54Z","addedAt":"2026-08-06T22:48:52.795Z","doi":"10.1109/icnc68183.2026.11416994","updatedAt":"2026-08-31T06:40:08.029Z"},{"id":"doi:10.1201/9781003039327-15","name":"Efficient and Robust Unmanned Aircraft C-Band Communication System","source":"crossref","abstract":"","url":"https://doi.org/10.1201/9781003039327-15","authors":["Dominik Rieth"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2020-12-02T06:33:35Z","addedAt":"2026-08-06T22:48:52.795Z","doi":"10.1201/9781003039327-15","updatedAt":"2026-08-31T06:40:08.029Z"},{"id":"doi:10.1109/aero55745.2023.10115542","name":"Simultaneous Mapping Localization and Path Planning for UAV Swarm","source":"crossref","abstract":"","url":"https://doi.org/10.1109/aero55745.2023.10115542","authors":["Liang-Boon Wee","Yew-Chai Paw"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-05-15T13:50:05Z","addedAt":"2026-08-06T22:48:52.795Z","doi":"10.1109/aero55745.2023.10115542","updatedAt":"2026-08-31T06:40:08.029Z"},{"id":"doi:10.1109/cac67268.2025.11487438","name":"Tipping Dynamics and Critical Recovery in Interdependent UAV Swarm Networks","source":"crossref","abstract":"","url":"https://doi.org/10.1109/cac67268.2025.11487438","authors":["Qi Wang","Dan Lu"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-04-28T19:45:57Z","addedAt":"2026-08-06T22:48:52.795Z","doi":"10.1109/cac67268.2025.11487438","updatedAt":"2026-08-31T06:40:08.029Z"},{"id":"doi:10.2139/ssrn.7030978","name":"Hunting Fake Base Stations (FBS): A Distributed Autonomous UAV Swarm Framework for FBS Detection and Localization","source":"crossref","abstract":"Portable Fake Base Stations (FBSs), also known as International Mobile Subscriber Identity (IMSI) catchers, pose a growing threat to personal privacy, communication integrity and national security, as evidenced by real-world attacks, by exploiting protocol vulnerabilities to intercept communications and track individuals. Current ground-based detection strategies are constrained by limited coverage and the inability to localize brief or mobile deployments. This paper presents an autonomous Unmanned Aerial Vehicle (UAV) swarm system, operating as a Flying Ad Hoc Network (FANET), to passively detect, classify, and localize rogue base stations. Each UAV integrates a custom Radio Frequency (RF) payload, Software-Defined Radios (SDRs), and edge computing, enabling cooperative sensing and distributed intelligence over a secure mesh network. The hierarchical framework combines identity validation, RF anomaly assessment, protocol inspection, and spatio-temporal analysis. Upon detection, the swarm adaptively localizes the target using cooperative Time Difference of Arrival (TDoA) or Angle of Arrival (AoA) based on real-time conditions and swarm geometry. Controlled testbed evaluations demonstrate the system’s robustness, achieving a 96.5% detection rate, a localization error of under 0.5 meters in scaled configurations, and &lt; 5 sec latency from rogue activation to position estimation.","url":"https://doi.org/10.2139/ssrn.7030978","authors":["Ioannis Anagnostis","Panayiotis Kotzanikolaou"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-06-30T21:37:46Z","addedAt":"2026-08-06T22:48:52.795Z","doi":"10.2139/ssrn.7030978","updatedAt":"2026-08-31T06:40:08.029Z"},{"id":"doi:10.33407/lib.naes.id/748231","name":"Chapter II. Enriching of ontological models with external web resources for intelligent planning of UAV swarm missions","source":"crossref","abstract":"The chapter considers the application of ontology models enriched with external resources for intelligent planning of a UAV swarm mission. The relevance of ontologies for formalizing knowledge about missions, environment, and threats is substantiated. A method for enriching ontologies from online knowledge bases, encyclopedias, dictionaries, and other open sources using the information field concept for preliminary information assessment and processing is proposed. A methodology for adaptive ontology updating is presented. The proposed approach using online external information resources allows to take into account the dynamics of updating current information about research objects, reduces ontology update time, provides high-quality knowledge for UAV swarm self-organization, movement coordination, threat detection, and flexible response to the external environment.","url":"https://doi.org/10.33407/lib.naes.id/748231","authors":["Anatolii Hladun","Kateryna Khala"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-02-03T09:34:09Z","addedAt":"2026-08-06T22:48:52.795Z","doi":"10.33407/lib.naes.id/748231","updatedAt":"2026-08-31T06:40:08.029Z"},{"id":"doi:10.1109/aero.2019.8741683","name":"Adaptable UAV Swarm Autonomy and Formation Platform","source":"crossref","abstract":"","url":"https://doi.org/10.1109/aero.2019.8741683","authors":["Divya Srivastava","Roxanna Pakkar","Austin Langrehr","Chaska Yamane"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2019-06-20T23:33:37Z","addedAt":"2026-08-06T22:48:52.795Z","doi":"10.1109/aero.2019.8741683","updatedAt":"2026-08-31T06:40:08.029Z"},{"id":"doi:10.1007/979-8-8688-1047-3_6","name":"Augmented Reality (AR) and Virtual Reality (VR) for UAV Swarm Visualization","source":"crossref","abstract":"","url":"https://doi.org/10.1007/979-8-8688-1047-3_6","authors":["Manish Thakra","Anita Devare","Manoj H Devare"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-02-28T01:30:55Z","addedAt":"2026-08-06T22:48:52.795Z","doi":"10.1007/979-8-8688-1047-3_6","updatedAt":"2026-08-31T06:40:08.029Z"},{"id":"doi:10.2139/ssrn.5356059","name":"Uav Swarm for Connectivity Enhancement of Multiple Isolated Sensor Networks Based on Subnet Priority","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.5356059","authors":["Yiping Yao","Hongbin Chen","Zhihui Guo"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-07-17T18:39:19Z","addedAt":"2026-08-06T22:48:52.795Z","doi":"10.2139/ssrn.5356059","updatedAt":"2026-08-31T06:40:08.029Z"},{"id":"doi:10.2139/ssrn.6308252","name":"Agile Target Capture with UAV Swarm in Dense Environments","source":"crossref","abstract":"Rapidly capturing fast-moving targets is critical for maintaining border security and public safety. However, traditional swarm-based target acquisition models often rely on target cooperation and focus on fixed formation capture methods. When target positions are uncertain and moving rapidly, deadlocks may occur due to target loss. To address this issue, this paper formulates a sliding-window pose graph optimization framework,, combined with Trajectory Prediction to estimate and predict the three-dimensional trajectory of high-speed maneuvering targets in real time. By adopting a virtual center-of-mass extension strategy to optimize non-uniform circular capture formations, compact target enclosure and obstacle avoidance are achieved. Simultaneously, this paper integrates field-of-view awareness with yaw coordination by formulating a multi-constraint optimization problem. our approach expands environmental perception while ensuring continuous target visibility. The proposed method demonstrates outstanding performance in multi-UAV cooperative tracking, target visibility maintenance, obstacle avoidance planning, and collision avoidance in dense environments.","url":"https://doi.org/10.2139/ssrn.6308252","authors":["Ping Zhang","Jianwen Huo","Ran Liu","Hongwei Liu","Simon  X. Yang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-02-26T16:44:57Z","addedAt":"2026-08-06T22:48:52.795Z","doi":"10.2139/ssrn.6308252","updatedAt":"2026-08-31T06:40:08.029Z"},{"id":"doi:10.2514/6.2019-2287","name":"UAV Swarm Mapping Using a Fully Distributed Control Approach","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2019-2287","authors":["Tristan Sherman","Scott Boskovich"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2019-01-07T05:52:39Z","addedAt":"2026-08-06T22:48:52.795Z","doi":"10.2514/6.2019-2287","updatedAt":"2026-08-31T06:40:08.029Z"},{"id":"doi:10.59400/cai4448","name":"Epigenetic regulation for dynamic UAV-swarm optimization—EpiSwarm","source":"crossref","abstract":"Evolutionary algorithms adapt mainly through selection, recombination, and mutation, which in changing environments forces costly re-optimization and slow recovery after disruption. We present EpiSwarm, an evolutionary algorithm for dynamic industrial UAV-swarm inspection in which each candidate solution carries a persistent genotype and a fast-changing, partially heritable epigenotype. The genotype encodes mission structure; the epigenotype is a decaying memory of recent environmental stress that modulates task activation, route repair, operator intensity, and energy-aware reassignment. On a UAV-swarm inspection benchmark (8 UAVs, 45 tasks, three volatility regimes, n = 10 replications) EpiSwarm reduces mean replanning churn by about 60% (from 12–15 to 5–6 changes per epoch) and improves mission utility by 10.7–14.2% over the best of four baselines—including a memory-archive GA—with this advantage robust across four objective-weight specifications (p between 0.009 and 0.052). A matched paired ablation (n = 20) shows that the benefit of transgenerational inheritance is regime-dependent: it is significant at low volatility (p = 0.025) and vanishes as disruptions accelerate. We show that this crossover is not incidental but follows a closed-form memory-horizon condition, τepi ≲ τenv/g, that predicts a priori the regime in which inherited memory ceases to be informative—a computational instance of the established evolutionary-biology result that the value of transgenerational information is set by environmental autocorrelation. The stress-driven update is directionally positive but not statistically separable at this sample size, and is reported as such. EpiSwarm therefore contributes a quantitatively predictable, low-churn regulatory mechanism for dynamic swarm optimization rather than a universally beneficial add-on.","url":"https://doi.org/10.59400/cai4448","authors":["Jordi Vallverdú"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-07-10T08:55:56Z","addedAt":"2026-08-06T22:48:52.795Z","doi":"10.59400/cai4448","updatedAt":"2026-08-31T06:40:08.029Z"},{"id":"doi:10.20944/preprints202508.0382.v1","name":"Swarm Intelligence-Based Multi-UAV CooperativeCoverage and Path Planning for Precision PesticideSpraying in Irregular Farmlands","source":"europepmc","abstract":"Achieving precise pesticide spraying tasks in irregular farmland faces multiple challenges such as multi-UAV path coordination, coverage efficiency optimization, and energy consumption control, especially in environments with complex terrain and significant changes in crop density. To this end, this paper proposes a multi-UAV collaborative coverage and path planning model (SI-MUCCPP) based on swarm intelligence, which is improved on the basis of the existing artificial bee colony algorithm (ABC), and integrates the Voronoi adaptive zoning strategy and dynamic Dubins curve path planning method with area awareness. Model includes three core innovations: (1) The adaptive regional subdivision module, which constructs the load- balanced Voronoi division of irregular farmland by introducing crop density and terrain complexity weights. (2) The role-dividing group collaboration mechanism simulates the foraging behavior of bee colonies, and dynamically assigns the roles of detectors, boundary followers and replenishers to improve the efficiency of multi-machine cooperation and reduce repeated spraying. (3) The hybrid fitness function design comprehensively considers the coverage integrity, flight time, energy consumption minimization and obstacle avoidance constraints, and introduces an improved search operator based on reverse learning and local perturbation to achieve optimal path convergence under complex terrain in the global-local two-stage iteration. Experimental results show that the proposed SI-MUCCCPP model improves the coverage efficiency by 17.6% and reduces the total energy consumption by 12.3% compared with the traditional method.","url":"https://doi.org/10.20944/preprints202508.0382.v1","authors":["Dianyi Zhou"],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","addedAt":"2026-08-06T22:48:52.795Z","doi":"10.20944/preprints202508.0382.v1","updatedAt":"2026-08-31T06:40:08.031Z"},{"id":"doi:10.1109/ccnc49032.2021.9369643","name":"Distributed Optimal Scheduling in UAV Swarm Network","source":"crossref","abstract":"","url":"https://doi.org/10.1109/ccnc49032.2021.9369643","authors":["Wei Sun"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2021-03-11T16:35:06Z","addedAt":"2026-08-06T22:48:52.795Z","doi":"10.1109/ccnc49032.2021.9369643","updatedAt":"2026-08-31T06:40:08.029Z"},{"id":"doi:10.1117/12.3025510","name":"Autonomous planning method for intelligent UAV swarm flight path based on swarm policy","source":"crossref","abstract":"","url":"https://doi.org/10.1117/12.3025510","authors":["Jiaqi Guo","Yefei Yin","Xianglong Mu","Jinke Zhao"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-02-28T22:40:33Z","addedAt":"2026-08-06T22:48:52.795Z","doi":"10.1117/12.3025510","updatedAt":"2026-08-31T06:40:09.763Z"},{"id":"doi:10.1038/s41598-026-59971-0","name":"Cooperative search algorithm for UAV swarm based on heterogeneous sensor fusion.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41598-026-59971-0","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:52.795Z","doi":"10.1038/s41598-026-59971-0","updatedAt":"2026-08-31T06:40:08.030Z"},{"id":"doi:10.3390/s26144343","name":"Domain Adaptation-Based Sorting Method for UAV Swarm Targets on Multi-Station Features.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s26144343","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:52.795Z","doi":"10.3390/s26144343","updatedAt":"2026-08-31T06:40:08.030Z"},{"id":"doi:10.21203/rs.3.rs-9532263/v1","name":"A Co-Design Framework for UAV Logistics Infrastructure and Distributed UAV Swarm Scheduling","source":"europepmc","abstract":"Abstract In large-scale UAV logistics systems, distributed scheduling has emerged as a key approach to overcoming the scalability limitations of centralized architectures. However, existing studies primarily focus on improving optimization algorithms, while largely overlooking the fundamental constraints imposed by the underlying communication topology. In real urban environments, heterogeneous spatial distributions often lead to poorly connected networks, which in turn become a critical bottleneck limiting distributed coordination efficiency.This paper investigates how communication topology shapes distributed scheduling performance from the perspective of coupling transportation infrastructure and information interaction. Building upon algebraic graph theory and distributed optimization, we establish a quantitative relationship between network connectivity and the convergence rate of cooperative errors, and show that, under construction cost constraints, system performance is subject to an inherent structural upper bound. To address this limitation, we propose a topology optimization method that enhances connectivity under realistic spatial constraints, and further develop a topology-aware distributed scheduling framework that enables joint design of infrastructure and coordination mechanisms.Experiments based on real-world logistics networks demonstrate that modest topology enhancements can accelerate system convergence and reduce scheduling delays under high-load conditions. Ablation studies further confirm that network connectivity plays a key role in determining overall system performance.Overall, this work reveals the mechanism linking transportation infrastructure topology to distributed coordination efficiency, and provides a principled approach to upgrading infrastructure from passive physical assets to active computational topology resources, offering theoretical support for the integration of computing and networking in future intelligent transportation systems.","url":"https://doi.org/10.21203/rs.3.rs-9532263/v1","authors":["Haoze Gu","Zhixin QI","Zejiao Dong","Abaho G. Gershome"],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:52.795Z","doi":"10.21203/rs.3.rs-9532263/v1","updatedAt":"2026-08-31T06:40:09.763Z"},{"id":"doi:10.20944/preprints202602.1239.v1","name":"Optimized Synchronization Design for UAV Swarm Network Based on Sidelink","source":"europepmc","abstract":"With the deployment and application of the fifth-generation communication technology as well as the research on the sixth-generation communication technology, the space-air-ground-sea integrated network has emerged as a key vision for future communications. Unmanned aerial vehicles (UAVs), serving as aerial nodes, can be utilized in emergency rescue and disaster relief, mapping, environmental monitoring, and enhancement of communication coverage, among other areas. In terms of enhancing communication coverage, the integrated space-ground network, with UAVs as an important component, can provide seamless communication coverage to remote areas, deserts, oceans, and other all-domain three-dimensional spaces. UAVs have become important research objects due to their low cost and high flexibility, and the enhancement of communication coverage in the form of base station-relay UAV-slave UAV based on one-hop relaying has become a significant direction. However, the high mobility and extensive coverage of UAVs also give rise to synchronization challenges. In this work, to tackle the challenges of round-trip delay (RTD) from long-distance transmission and Doppler frequency offset in uplink synchronization between ground base stations and relay UAVs, a long-range random access preamble design is proposed. An enhanced two-step detection framework is introduced, where two distinct root sequence preambles are utilized for RTD estimation and random access respectively, and Doppler frequency offset is mitigated via pre-compensation. For the uplink synchronization in the sidelink between slave UAVs and relay UAVs, to address Doppler frequency offset, improve access efficiency, reduce resource consumption, and simultaneously account for the asynchrony among different users, an asynchronous non-orthogonal multiple access (A-NOMA)-based two-step random access scheme is developed. The scheme leverages existing physical random access channel (PRACH) preamble sequences with paired indexing for Doppler frequency offset estimation; on this basis, a successive interference cancellation algorithm based on Doppler frequency offset and phase compensation is designed to demodulate user data. For downlink synchronization between slave UAVs and relay UAVs, improvements to frequency offset estimation are achieved through redesigned sidelink synchronization signal block (S-SSB) resource allocation. Alongside this, a down-sampling-based detection scheme is designed to reduce UAV power consumption given energy constraints, with a comprehensive link algorithm developed to support implementation.","url":"https://doi.org/10.20944/preprints202602.1239.v1","authors":["Hang Zhang","Hua-Min Chen","Qi-Jun Wei","Zhu-Wei Wang","Yan-Hua Sun"],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:52.795Z","doi":"10.20944/preprints202602.1239.v1","updatedAt":"2026-08-31T06:40:09.896Z"},{"id":"doi:10.1371/journal.pone.0352858","name":"Path planning and obstacle avoidance with ISS framework for a UAV swarm under unified wind, sensor noise and delay disturbances.","source":"europepmc","abstract":"","url":"https://doi.org/10.1371/journal.pone.0352858","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:52.795Z","doi":"10.1371/journal.pone.0352858","updatedAt":"2026-08-31T06:40:08.030Z"},{"id":"doi:10.3390/s26092760","name":"Joint Clustering and Power Optimization for the SPMA Protocol in UAV Swarm Communication in Frequency-Constrained Scenarios.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s26092760","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:52.795Z","doi":"10.3390/s26092760","updatedAt":"2026-08-31T06:40:08.030Z"},{"id":"doi:10.1038/s41598-026-52524-5","name":"Residual-aware lightweight deep learning framework for high-fidelity intrusion detection in UAV swarm networks.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41598-026-52524-5","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:52.795Z","doi":"10.1038/s41598-026-52524-5","updatedAt":"2026-08-31T06:40:08.030Z"},{"id":"doi:10.1109/tcyb.2026.3689695","name":"Fast and Precise Formation of UAV Swarm System via Adaptive Robust Diffeomorphism-Based Constraint-Following Control.","source":"europepmc","abstract":"","url":"https://doi.org/10.1109/tcyb.2026.3689695","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:52.795Z","doi":"10.1109/tcyb.2026.3689695","updatedAt":"2026-08-31T06:40:08.030Z"},{"id":"doi:10.1016/j.isatra.2026.01.025","name":"Predefined-time formation control of UAV swarm under spatiotemporal constraints.","source":"europepmc","abstract":"","url":"https://doi.org/10.1016/j.isatra.2026.01.025","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:52.795Z","doi":"10.1016/j.isatra.2026.01.025","updatedAt":"2026-08-31T06:40:08.030Z"},{"id":"doi:10.1038/s41598-026-39366-x","name":"Explainable multi agent reinforcement learning framework for secure and adaptive communication in UAV swarm based fanets.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41598-026-39366-x","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:52.795Z","doi":"10.1038/s41598-026-39366-x","updatedAt":"2026-08-31T06:40:09.763Z"},{"id":"doi:10.3390/s25185877","name":"Toward Autonomous UAV Swarm Navigation: A Review of Trajectory Design Paradigms.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s25185877","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","addedAt":"2026-08-06T22:48:52.795Z","doi":"10.3390/s25185877","updatedAt":"2026-08-31T06:40:08.030Z"},{"id":"doi:10.1371/journal.pone.0325785","name":"Secure energy outage analysis of UAV swarm-based network.","source":"pubmed","abstract":"In the pursuit of enhancing energy-efficient and secure communications, this study explores secure energy outage probability (SEP) within unmanned aerial vehicle (UAV) swarm-based energy harvesting networks. UAVs, often deployed as relay nodes to facilitate communication between a source and a destination, face significant security and energy efficiency challenges, particularly when relying on battery-free configurations. These UAVs must simultaneously harvest energy from ambient sources and thwart eavesdropping attempts from external interceptors, demanding secure solutions for efficient operation. To address these challenges, we propose two energy-efficient secure UAV selection methods aimed at optimizing the communication network's physical layer security. The first method prioritizes maximizing the communication link quality between the source and the selected UAV, while the second method focuses on minimizing the link quality between the UAV and the eavesdropper. Through these strategies, the study targets improved SEP performance without compromising energy efficiency, ensuring sustainable network operation. The study evaluates the effectiveness of these methods through rigorous mathematical frameworks in both approximate and asymptotic forms. Through numerical analyses, our proposed methods demonstrate notable improvements in SEP performance. Specifically, we observe that SEP increases significantly when the transmit signal-to-noise ratio (SNR) is varied from low to medium values; however, the benefits taper off at higher SNR ranges, indicating a performance plateau. Moreover, introducing a larger number of UAVs in the swarm enhances SEP, showcasing the scalability advantage of the proposed methods. Further insights reveal that configuring a higher power-splitting coefficient enhances SEP at lower SNR values, although it yields diminishing returns at higher SNR levels. Additionally, our findings highlight the influence of UAV placement, with closer proximity to the destination improving SEP performance. However, there exists an optimal flying altitude for UAVs that minimizes SEP, offering a balance between security enhancement and energy efficiency. These results underscore the superiority of the proposed methods in addressing the dual challenges of physical layer security and energy conservation.","url":"https://doi.org/10.1371/journal.pone.0325785","authors":["Nguyen TH","Tran HV"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025","addedAt":"2026-08-06T22:48:52.795Z","doi":"10.1371/journal.pone.0325785","updatedAt":"2026-08-31T06:40:08.030Z"},{"id":"doi:10.20944/preprints202512.1032.v1","name":"Vision-Based UAV Swarm Cooperation and Online Point-Cloud Registration for Global Localization in GNSS-Intermittent Environments","source":"europepmc","abstract":"Reliable autonomy for drones operating in GNSS-intermittent or denied environments requires both stable inter-vehicle coordination and a shared global understanding of the environment. This paper presents a unified vision-based framework in which UAVs use biologically inspired swarm behaviors together with online monocular point-cloud registration to achieve real-time global localization. First, we apply a passive-perception strategy, bird-inspired drone swarm-keeping, enabling each UAV to estimate the relative motion and proximity of its neighbors using only monocular visual cues. This decentralized mechanism provides cohesive and collision-free group motion without GNSS, active ranging, or explicit communication. Second, we integrate this capability with a cooperative mapping pipeline in which one or more drones acting as global anchors generate a globally referenced monocular SLAM map. Vehicles lacking global positioning progressively align their locally generated point clouds to this shared global reference using an iterative registration strategy, allowing them to infer consistent global poses online. Other autonomous vehicles optionally contribute complementary viewpoints, but UAVs remain the core autonomous agents driving both mapping and coordination due to their privileged visual perspective. Experimental validation in simulation and indoor testbeds with drones demonstrates that the integrated system maintains swarm cohesion, improves spatial alignment by more than a factor of four over baseline monocular SLAM, and preserves reliable global localization throughout extended GNSS outages. The results highlight a scalable, lightweight, and vision-based approach to resilient UAV autonomy in tunnels, industrial environments, and other GNSS-challenged settings.","url":"https://doi.org/10.20944/preprints202512.1032.v1","authors":["Gonzalo Garcia","Azim Eskandarian"],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","addedAt":"2026-08-06T22:48:52.795Z","doi":"10.20944/preprints202512.1032.v1","updatedAt":"2026-08-31T06:40:08.031Z"},{"id":"doi:10.20944/preprints202503.0821.v1","name":"Securing UAV Swarm-Based Smart Metering Infrastructure: A Multi-Phased Approach to Threat Mitigation","source":"europepmc","abstract":"Unmanned Aerial Vehicle (UAV) swarms offer a promising solution for revolutionizing Smart Metering Infrastructure (SMI) by enabling efficient, scalable, and cost-effective data collection. However, the deployment of UAV swarms in critical infrastructure applications raises significant security concerns. This paper presents a comprehensive security model designed to protect a UAV swarm-based SMI against various threats throughout its operational phases. We identify key vulnerabilities and propose a multi-layered security framework that incorporates bidirectional entity authentication, secure communication channels using IPSec (Internet Protocol Security), and proactive measures to mitigate specific attacks, such as denial-of-service and man-in-the-middle attacks. We analyze the effectiveness of our proposed solutions in addressing potential threats during different operational phases: DMC (Data Management Center) interaction, in-flight operations, and data collection. We present a comparative analysis highlighting the advantages of our approach over existing security schemes for UAV swarms. Our findings provide valuable insights into securing UAV swarm-based critical infrastructure and contribute towards building more resilient and trustworthy smart city applications.","url":"https://doi.org/10.20944/preprints202503.0821.v1","authors":["Qutaiba Ibrahim","Mustafa Qassab"],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","addedAt":"2026-08-06T22:48:52.795Z","doi":"10.20944/preprints202503.0821.v1","updatedAt":"2026-08-31T06:40:08.031Z"},{"id":"doi:10.1038/s41598-025-97961-w","name":"Relative DOA estimation method for UAV swarm based on phase difference information without fixed anchors.","source":"pubmed","abstract":"A key challenge for unmanned aerial vehicle (UAV) swarms is achieving inter-aircraft relative direction of arrival (DOA) estimation in global navigation satellite system (GNSS) denied environments without relying on fixed base stations. This paper proposes a Ultra-wide Bandwidth (UWB) based method where each UAV acts as both a transmitter and receiver, effectively functioning as a mobile base station. A theoretical framework for all-directional DOA estimation using a regular tetrahedral array is derived, resolving phase ambiguities via a genetic algorithm (GA) with phase difference information. Simulation results demonstrate that GA-UWB algorithm has a better performance than WP-UWB. When considering noise both in time difference and phase difference information, the algorithm proposed in this paper has a higher success rate.","url":"https://doi.org/10.1038/s41598-025-97961-w","authors":["Han Y","Zhang J","Luo J"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025","addedAt":"2026-08-06T22:48:52.795Z","doi":"10.1038/s41598-025-97961-w","updatedAt":"2026-08-31T06:40:09.764Z"},{"id":"doi:10.3390/e27030256","name":"Slot Allocation Protocol for UAV Swarm Ad Hoc Networks: A Distributed Coalition Formation Game Approach.","source":"pubmed","abstract":"With the rapid development of unmanned aerial vehicle (UAV) manufacturing technology, large-scale UAV swarm ad hoc networks are becoming widely used in military and civilian spheres. UAV swarms equipped with ad hoc networks and satellite networks are being developed for 6G heterogeneous networks, especially in offshore and remote areas. A key operational aspect in large-scale UAV swarm networks is slot allocation for large capacity and a low probability of conflict. Traditional methods typically form coalitions among UAVs that are in close spatial proximity to reduce internal network interference, thereby achieving greater throughput. However, significant internal interference still persists. Given that UAV networks are required to transmit a substantial amount of safety-related control information, any packet loss due to internal interference can easily pose potential risks. In this paper, we propose a distributed time coalition formation game algorithm that ensures the absence of internal interference and collisions while sharing time slot resources, thereby enhancing the network's throughput performance. Instead of forming a coalition from UAVs within a contiguous block area as used in prior studies, UAV nodes with no interference from each other form a coalition that can be called a time coalition. UAVs belonging to one coalition share their transmitting slots with each other, and thus, every UAV node achieves the whole transmitting slots of coalition members. They can transmit data packets simultaneously with no interference. In addition, a distributed coalition formation game-based TDMA (DCFG-TDMA) protocol based on the distributed time coalition formation algorithm is designed for UAV swarm ad hoc networks. Our simulation results verify that the proposed algorithm can significantly improve the UAV throughput compared with that of the conventional TDMA protocol.","url":"https://doi.org/10.3390/e27030256","authors":["Song L","Guo D","Liubin Song","Daoxing Guo"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025","addedAt":"2026-08-06T22:48:52.795Z","doi":"10.3390/e27030256","updatedAt":"2026-08-31T06:40:09.896Z"},{"id":"doi:10.21203/rs.3.rs-5605269/v1","name":"UAV Swarm GNSS Spoofing Defense Method Based on Consensus Artificial Potential Field","source":"europepmc","abstract":"Abstract Current global navigation satellite system (GNSS) spoofing defense strategies for unmanned aerial vehicles (UAVs) rely mainly on redundant antennas or inertial navigation systems during the action phase. However, the added payload and accumulated errors they introduce can adversely affect aircraft performance. To address the challenge of effective GNSS spoofing defense for UAVs, a defense method based on a consensus potential field was designed. First, the attack–defense interaction process was established as an artificial potential field problem with unknown repulsive sources. Then, a spatial relationship-based repulsive source prediction method was designed, allowing victim members to calculate the resultant force based on predicted repulsive sources. Finally, a consensus mechanism-based collaborative defense strategy was developed to correct the fight direction, reducing trajectory deviation and destination error. Experimental results show that compared with the game, random decision, particle swarm optimization, and vector proportion-integration-differentiation models, the consensus potential field model has smaller trajectory and destination deviations (12.91 ± 6.41m and 13.94 ± 2.77m, respectively). In addition, the proposed method demonstrates better time performance across different experimental environments than other methods and effectively helps the swarm reach a safe area under navigation deception attacks.","url":"https://doi.org/10.21203/rs.3.rs-5605269/v1","authors":["Zhaojun Gu","Huan Zhao","Huitao Chen","Shuang Wang"],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2024","addedAt":"2026-08-06T22:48:52.795Z","doi":"10.21203/rs.3.rs-5605269/v1","updatedAt":"2026-08-31T06:40:09.764Z"},{"id":"doi:10.1088/1748-3190/ad8d98","name":"The influence of neighbor selection on self-organized UAV swarm based on finite perception vision.","source":"pubmed","abstract":"","url":"https://doi.org/10.1088/1748-3190/ad8d98","authors":["Xiong H","Shi X","Ding Y","Liu X","Yao C","Liu J","Chen Y","Wang J"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2024","addedAt":"2026-08-06T22:48:52.795Z","doi":"10.1088/1748-3190/ad8d98","updatedAt":"2026-08-31T06:40:09.764Z"},{"id":"doi:10.1364/ao.506515","name":"LiFi-enabled UAV swarm networks.","source":"pubmed","abstract":"","url":"https://doi.org/10.1364/ao.506515","authors":["Ozyurt AB","Tinnirello I","Popoola WO"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2024","addedAt":"2026-08-06T22:48:52.795Z","doi":"10.1364/ao.506515","updatedAt":"2026-08-31T06:40:09.764Z"},{"id":"doi:10.3390/s24010011","name":"Research on UAV Swarm Network Modeling and Resilience Assessment Methods.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s24010011","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2023","addedAt":"2026-08-06T22:48:52.795Z","doi":"10.3390/s24010011","updatedAt":"2026-08-31T06:40:09.764Z"},{"id":"doi:10.3390/s23177359","name":"Designing UAV Swarm Experiments: A Simulator Selection and Experiment Design Process.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s23177359","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2023","addedAt":"2026-08-06T22:48:52.795Z","doi":"10.3390/s23177359","updatedAt":"2026-08-31T06:40:08.030Z"},{"id":"doi:10.3389/fnbot.2023.1243174","name":"MW-MADDPG: a meta-learning based decision-making method for collaborative UAV swarm.","source":"europepmc","abstract":"","url":"https://doi.org/10.3389/fnbot.2023.1243174","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2023","addedAt":"2026-08-06T22:48:52.795Z","doi":"10.3389/fnbot.2023.1243174","updatedAt":"2026-08-31T06:40:08.030Z"},{"id":"doi:10.3390/s23208479","name":"A Route Planning Method for UAV Swarm Inspection of Roads Fusing Distributed Droneport Site Selection.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s23208479","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2023","addedAt":"2026-08-06T22:48:52.795Z","doi":"10.3390/s23208479","updatedAt":"2026-08-31T06:40:08.030Z"},{"id":"doi:10.1109/tcyb.2021.3132044","name":"GrpAvoid: Multigroup Collision-Avoidance Control and Optimization for UAV Swarm.","source":"europepmc","abstract":"","url":"https://doi.org/10.1109/tcyb.2021.3132044","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2023","addedAt":"2026-08-06T22:48:52.795Z","doi":"10.1109/tcyb.2021.3132044","updatedAt":"2026-08-31T06:40:08.030Z"},{"id":"doi:10.21203/rs.3.rs-2765091/v1","name":"A Resilient Task Allocation Method for UAV Swarm Based on PSO-ILP Bilevel Nested Optimization","source":"europepmc","abstract":"Abstract Traditional task allocation methods are threatened by the complexity and adversarial nature of modern battlefields. This work focuses on the modeling, optimization, and simulation verification of UAV swarm multi-domain fighting under the constraint of task resilience in order to address the issues created by various ways of deliberate enemy attack. Initially, a novel idea of equivalent load is proposed, considering it as the fundamental unit of reconnaissance, assault, communication, and other activities, in order to construct the capability load matrix of our single UAV and the needed load matrix of attacking each fighting unit in each battle region. Then, by integrating the strike probability and task completion degree, the task resilience capability index was developed, which improved the current UAV swarm task resilience measurement process. Due to the difficulty of traditional task allocation optimization methods in dealing with dynamic changes of optimization indexes before and after attacks, a resilience compensation load relaxation variable was added to the traditional Integral Linear Programming (ILP) problem description model of a UAV swarm. On the basis of a bilevel nested structure, a task allocation optimization method is created. Before an assault, the lower layer's ILP optimizer uses the swarm load cost as the target. The uppermost layer is comprised of Particle Swarm Optimization (PSO), which targets the comprehensive indices of UAV swarm load cost and task resilience after attack. It effectively resolves the multi-objective optimization problem of UAV swarms taking task difficulty into account. Ultimately, the test scenarios of three conflict domains, five basic battle units, and five load kinds were constructed, and the Ranchester battle model was used to simulate and validate the rationale and efficacy of the bilevel nested optimization method based on PSO-ILP.","url":"https://doi.org/10.21203/rs.3.rs-2765091/v1","authors":["Yifan Zeng","Kezhou Ren","Qin Sun","Yingchao Zhang"],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2023","addedAt":"2026-08-06T22:48:52.795Z","doi":"10.21203/rs.3.rs-2765091/v1","updatedAt":"2026-08-31T06:40:09.896Z"},{"id":"doi:10.3390/s23198335","name":"High-Resolution L-Band TomoSAR Imaging on Forest Canopies with UAV Swarm to Detect Dielectric Constant Anomaly.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s23198335","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2023","addedAt":"2026-08-06T22:48:52.795Z","doi":"10.3390/s23198335","updatedAt":"2026-08-31T06:40:08.030Z"},{"id":"doi:10.1155/2022/6398039","name":"Anticollision Decision and Control of UAV Swarm Based on Intelligent Cognitive Game.","source":"europepmc","abstract":"","url":"https://doi.org/10.1155/2022/6398039","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2022","addedAt":"2026-08-06T22:48:52.795Z","doi":"10.1155/2022/6398039","updatedAt":"2026-08-31T06:40:08.030Z"},{"id":"doi:10.3390/biomimetics8020222","name":"A Bio-Inspired Decision-Making Method of UAV Swarm for Attack-Defense Confrontation via Multi-Agent Reinforcement Learning.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/biomimetics8020222","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2023","addedAt":"2026-08-06T22:48:52.795Z","doi":"10.3390/biomimetics8020222","updatedAt":"2026-08-31T06:40:08.030Z"},{"id":"doi:10.20944/preprints202306.0883.v1","name":"RL-Based Detection, Tracking, and Classification of Malicious UAV Swarm through Airborne Cognitive Multibeam Multifunction Phased Array Radar","source":"europepmc","abstract":"Detecting, tracking, and classifying unmanned aerial vehicles (UAVs) in a swarm presents significant challenges due to their small and diverse radar cross-sections, multiple flight altitudes, velocities, and close trajectories. To overcome these challenges, adjustments of the radar parameters and/or position of the radar (for airborne platforms) are often required during runtime. The runtime adjustments help to overcome the anomalies in the detection, tracking, and classification of UAVs. The runtime adjustments are performed either manually or through fixed algorithms, each of which can have its limitations for complex and dynamic scenarios. In this work, we propose the use of multi-agent reinforcement learning (RL) to carry out the runtime adjustment of the radar parameters and position of the radar platform. The radar used in our work is a multibeam multifunction phased array radar (MMPAR) placed onboard UAVs. The simulations show the cognitive adjustment of the MMPAR parameters and position of the airborne platform using RL helps to overcome anomalies in the detection, tracking, and classification of UAVs in a swarm. A comparison with other artificial intelligence (AI) algorithms shows that RL performs better due to runtime learning of the environment through rewards.","url":"https://doi.org/10.20944/preprints202306.0883.v1","authors":["Wahab Khawaja","Qasim Yaqoob","Ismail Guvenc"],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2023","addedAt":"2026-08-06T22:48:52.795Z","doi":"10.20944/preprints202306.0883.v1","updatedAt":"2026-08-31T06:40:09.896Z"},{"id":"doi:10.1109/tcyb.2021.3132587","name":"Distributed UAV Swarm Formation and Collision Avoidance Strategies Over Fixed and Switching Topologies.","source":"europepmc","abstract":"","url":"https://doi.org/10.1109/tcyb.2021.3132587","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2022","addedAt":"2026-08-06T22:48:52.795Z","doi":"10.1109/tcyb.2021.3132587","updatedAt":"2026-08-31T06:40:08.030Z"},{"id":"doi:10.3390/s22124467","name":"Intelligent Scheduling Methodology for UAV Swarm Remote Sensing in Distributed Photovoltaic Array Maintenance.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s22124467","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2022","addedAt":"2026-08-06T22:48:52.795Z","doi":"10.3390/s22124467","updatedAt":"2026-08-31T06:40:08.030Z"},{"id":"doi:10.3390/s21165374","name":"UAV Swarm Navigation Using Dynamic Adaptive Kalman Filter and Network Navigation.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s21165374","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2021","addedAt":"2026-08-06T22:48:52.795Z","doi":"10.3390/s21165374","updatedAt":"2026-08-31T06:40:08.030Z"},{"id":"doi:10.3390/s20164593","name":"Performance Analysis of Millimeter-Wave UAV Swarm Networks under Blockage Effects.","source":"europepmc","abstract":"Due to their high mobility, unmanned aerial vehicles (UAVs) can offer better connectivity by complement or replace with the existing terrestrial base stations (BSs) in the mobile cellular networks. In particular, introducing UAV and millimeter wave (mmWave) technologies can better support the future wireless networks with requirements of high data rate, low latency, and seamless connectivity. However, it is widely known that mmWave signals are susceptible to blockages because of their poor diffraction. In this context, we consider macro-diversity achieved by the multiple UAV BSs, which are randomly distributed in a spherical swarm. Using the widely used channel model incorporated with the distance-based random blockage effects, which is proposed based on stochastic geometry and random shape theory, we investigate the outage performance of the mmWave UAV swarm network. Further, based on our analysis, we show how to minimize the outage rate by adjusting various system parameters such as the size of the UAV swarm relative to the distance to the receiver.","url":"https://doi.org/10.3390/s20164593","authors":["Haejoon Jung","In-Ho Lee"],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2020","addedAt":"2026-08-06T22:48:52.795Z","doi":"10.3390/s20164593","updatedAt":"2026-08-31T06:40:08.030Z"},{"id":"doi:10.1063/1.5086222","name":"Resilience evaluation for UAV swarm performing joint reconnaissance mission.","source":"europepmc","abstract":"","url":"https://doi.org/10.1063/1.5086222","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2019","addedAt":"2026-08-06T22:48:52.795Z","doi":"10.1063/1.5086222","updatedAt":"2026-08-31T06:40:08.030Z"},{"id":"doi:10.1371/journal.pone.0202328","name":"Continuous patrolling in uncertain environment with the UAV swarm.","source":"europepmc","abstract":"","url":"https://doi.org/10.1371/journal.pone.0202328","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2018","addedAt":"2026-08-06T22:48:52.795Z","doi":"10.1371/journal.pone.0202328","updatedAt":"2026-08-31T06:40:08.030Z"},{"id":"doi:10.3390/s20082307","name":"UAV Swarm Mission Planning in Dynamic Environment Using Consensus-Based Bundle Algorithm.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s20082307","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2020","addedAt":"2026-08-06T22:48:52.795Z","doi":"10.3390/s20082307","updatedAt":"2026-08-31T06:40:08.030Z"},{"id":"doi:10.3389/fnbot.2026.1857152","name":"A bionic intelligent method combining evolutionary game theory with particle swarm optimization for UAV 3D path planning.","source":"europepmc","abstract":"","url":"https://doi.org/10.3389/fnbot.2026.1857152","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:52.795Z","doi":"10.3389/fnbot.2026.1857152","updatedAt":"2026-08-31T06:40:08.030Z"},{"id":"doi:10.21203/rs.3.rs-10109071/v1","name":"Enhanced Gold Mining Optimization with Dual-Layer Information Sharing and Dynamic Control for Multi-Objective Scheduling of Heterogeneous UAV Swarms","source":"europepmc","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-10109071/v1","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:52.795Z","doi":"10.21203/rs.3.rs-10109071/v1","updatedAt":"2026-08-31T06:40:08.031Z"},{"id":"doi:10.3389/frai.2026.1752124","name":"Systematic review of trends in deep learning for UAV cybersecurity.","source":"europepmc","abstract":"","url":"https://doi.org/10.3389/frai.2026.1752124","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:52.795Z","doi":"10.3389/frai.2026.1752124","updatedAt":"2026-08-31T06:40:09.763Z"},{"id":"doi:10.21203/rs.3.rs-10000280/v1","name":"Towards Sustainable Desert Agriculture: An AI-Driven UAV Intelligence Framework for Precision Monitoring and Resource Optimization","source":"europepmc","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-10000280/v1","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:52.795Z","doi":"10.21203/rs.3.rs-10000280/v1","updatedAt":"2026-08-31T06:40:08.031Z"},{"id":"doi:10.3390/s26113398","name":"Neural Surrogate-Enhanced Metaheuristic Optimization for Distributed Quadrotor Swarm Control.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s26113398","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:52.795Z","doi":"10.3390/s26113398","updatedAt":"2026-08-31T06:40:08.030Z"},{"id":"doi:10.21203/rs.3.rs-10044025/v1","name":"C3Q-MARL: A Framework for UAV SwarmConnectivity and Collision Avoidance","source":"europepmc","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-10044025/v1","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:52.795Z","doi":"10.21203/rs.3.rs-10044025/v1","updatedAt":"2026-08-31T06:40:08.031Z"},{"id":"doi:10.20944/preprints202607.1870.v1","name":"Dynamic Ranging-Error Compensation and Consistent Cooperative Localization in TDMA UWB UAV Swarms","source":"europepmc","abstract":"","url":"https://doi.org/10.20944/preprints202607.1870.v1","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:52.795Z","doi":"10.20944/preprints202607.1870.v1","updatedAt":"2026-08-31T06:40:08.031Z"},{"id":"doi:10.1109/tnnls.2018.2873063","name":"Time-Varying Formation Tracking for UAV Swarm Systems With Switching Directed Topologies.","source":"europepmc","abstract":"","url":"https://doi.org/10.1109/tnnls.2018.2873063","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2019","addedAt":"2026-08-06T22:48:52.795Z","doi":"10.1109/tnnls.2018.2873063","updatedAt":"2026-08-31T06:40:08.030Z"},{"id":"doi:10.3390/e28060708","name":"Task Graph Generation for Heterogeneous UAV Swarms in Partially Observable Adversarial Environments.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/e28060708","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:52.795Z","doi":"10.3390/e28060708","updatedAt":"2026-08-31T06:40:08.030Z"},{"id":"doi:10.1038/s41598-026-46655-y","name":"Tri-stream multi-model architecture for real-time detection of BeiDou signal manipulation in UAV swarms.","source":"europepmc","abstract":"This study presents a novel framework for detecting and mitigating BeiDou Global Navigation Satellite Systems (GNSS) spoofing in decentralized Unmanned Aerial Vehicle (UAV) swarm systems and addressed a critical vulnerability in autonomous aerial operations. The research tackles the problem of coordinated spoofing attacks that compromise swarm navigation by injecting counterfeit satellite signals, which disrupt formation stability and mission execution. To solve this, the proposed methodology combines Kalman filter-based residual tracking, a Tri-Stream Deep Fusion model incorporating CNN, LSTM, and GNN, and a transformer-based Large Language Model trained on UAV telemetry for contextual anomaly validation. The evaluation was conducted using a high-fidelity software-in-the-loop simulation platform that replicates various spoofing scenarios under realistic signal conditions. Simulated assessment outcomes showed that the system achieved a detection accuracy of 97% ± 0.6%, maintained swarm cohesion with trajectory deviations under 5 m, and sustained a 97% mission completion rate even during multi-source adversarial interference. These findings demonstrate that integrating statistical, temporal, and relational learning with decentralized consensus can enable real-time swarm resilience. This research contributes a scalable, sensor-compatible approach to GNSS security in UAV networks and offers a foundation for future work in edge-deployable LLM optimization, spoofing-jamming co-detection, and field validation in urban GNSS-denied environments.","url":"https://doi.org/10.1038/s41598-026-46655-y","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:52.795Z","doi":"10.1038/s41598-026-46655-y","updatedAt":"2026-08-31T06:40:09.763Z"},{"id":"doi:10.1038/s41598-026-58011-1","name":"Cooperative UAV swarms for zero knowledge verification of edge generative AI using trust-aware multiagent learning.","source":"pubmed","abstract":"","url":"https://doi.org/10.1038/s41598-026-58011-1","authors":["Avazov K","Zohirov K","Ruziev U","Abduazizov N","Abdusalomov A","Buriboev A","Jeon HS"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:52.795Z","doi":"10.1038/s41598-026-58011-1","updatedAt":"2026-08-31T06:40:09.764Z"},{"id":"doi:10.1038/s41598-026-42372-8","name":"3D UAV path optimization using a task-allocation and archive-guided mutation particle swarm optimization algorithm.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41598-026-42372-8","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:52.795Z","doi":"10.1038/s41598-026-42372-8","updatedAt":"2026-08-31T06:40:08.030Z"},{"id":"doi:10.3390/s26092912","name":"A Curriculum-Learning-Assisted MAPPO-Based Algorithm for Dynamic Spectrum Access and Anti-Jamming in UAV Swarms.","source":"europepmc","abstract":"The utilization of drone swarms for cooperative missions is becoming increasingly prevalent. However, establishing high-concurrency and highly reliable communication links in complex environments remains a significant challenge. Existing methods based on traditional Medium Access Control (MAC) protocols struggle to cope with high-density collisions, while conventional deep reinforcement learning (DRL) approaches often encounter convergence difficulties in non-stationary interference environments, leading to notable limitations in anti-jamming robustness and algorithmic efficiency. To tackle this problem, this paper proposes a dynamic access algorithm based on Curriculum Learning-assisted Multi-Agent Proximal Policy Optimization (CL-MAPPO). Specifically, we adopt a Centralized Training with Decentralized Execution (CTDE) architecture to enable implicit spectrum cooperation within the swarm. Notably, we design a three-stage progressive curriculum learning mechanism-basic collision avoidance, load balancing, and dynamic anti-jamming-coupled with a phased reward reshaping strategy, guiding the agents to progressively master intelligent frequency-hopping decisions in complex environments. Experimental results demonstrate that in simulated scenarios involving dynamic sweep jamming and high-load multi-drone communication, the proposed method significantly outperforms baseline models such as Carrier Sense Multiple Access (CSMA), random frequency hopping, and Multi-Agent Deep Deterministic Policy Gradient (MADDPG) in terms of normalized throughput, channel collision rate, and convergence speed. This research provides theoretical support and an algorithmic foundation for achieving highly reliable access in large-scale swarm data links under harsh environmental conditions.","url":"https://doi.org/10.3390/s26092912","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:52.795Z","doi":"10.3390/s26092912","updatedAt":"2026-08-31T06:40:08.030Z"},{"id":"doi:10.3390/s26123747","name":"Fault-Tolerant Cooperative Positioning for UAV Swarms in Degraded Environments: A Multi-Objective Deep Reinforcement Learning Approach.","source":"europepmc","abstract":"When operating in complex and obstacle-dense environments, micro UAV swarms often face severe cooperative positioning failures due to transient non-line-of-sight (NLOS) interference and cascaded inertial sensor drift. To address this, this work proposes a fault-tolerant positioning framework integrating multi-agent deep reinforcement learning with cooperative extended Kalman filtering (MADRL-CEKF). The system incorporates a link-level dynamic soft isolation mechanism that dynamically adjusts observation covariance to effectively sever paths of cooperative error contagion. An adaptive Markov smoothing constraint is mathematically embedded to mitigate high-frequency control jitter typical of AI-driven policies. Crucially, the framework implements a resource-aware multi-objective reward architecture tailored for micro UAVs. Evaluated through high-fidelity simulations and offline physical datasets, the proposed framework achieves a 96.01% reduction in average tracking error (RMSE) under extreme multi-node cascaded failures, completely preventing system divergence. Furthermore, through autonomous multi-objective trade-offs, the system reduces processing delay by 44% (to 25.1 ms) and computational energy consumption by 41% with only a marginal accuracy compromise of 0.16 m, strictly keeping the execution time within the 50 ms real-time threshold. The MADRL-CEKF framework effectively bridges the gap between sophisticated AI decision-making and strict engineering constraints, providing a highly robust and resource-efficient navigation paradigm for swarm robotics.","url":"https://doi.org/10.3390/s26123747","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:52.795Z","doi":"10.3390/s26123747","updatedAt":"2026-08-31T06:40:08.030Z"},{"id":"doi:10.1038/s41598-026-55955-2","name":"Risk-sensitive mean-field control of large-scale UAV Swarms for stochastic disaster tracking and robust first response.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41598-026-55955-2","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:52.795Z","doi":"10.1038/s41598-026-55955-2","updatedAt":"2026-08-31T06:40:08.030Z"},{"id":"doi:10.1038/s41598-026-61860-5","name":"An opposition based Gooseneck Barnacle Optimizer for energy-efficient UAV path planning in urban low altitude environments.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41598-026-61860-5","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:52.795Z","doi":"10.1038/s41598-026-61860-5","updatedAt":"2026-08-31T06:40:08.030Z"},{"id":"doi:10.3390/s26092691","name":"Multi-UAV-Borne Surveillance Radar Trajectory Planning Method Based on Imitation Learning.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s26092691","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:52.795Z","doi":"10.3390/s26092691","updatedAt":"2026-08-31T06:40:08.030Z"},{"id":"doi:10.21203/rs.3.rs-10315373/v1","name":"Towards Intelligent UAV Path Planning: A Systematic Review of Hybrid Reinforcement Learning and Metaheuristic Optimization","source":"europepmc","abstract":"Abstract UAV path planning in complex 3D environments is an NP-hard problem. Standard metaheuristics (MH) suffer from premature convergence, while pure reinforcement learning (RL) exhibits slow initial convergence, motivating hybrid RL--MH frameworks. This systematic review characterizes the predominant RL--MH algorithmic combinations, integration architectures, application contexts, and validation approaches reported for single-UAV and independently-planned multi-UAV path planning. The review was conducted following the PRISMA 2020 guidelines. Peer-reviewed journal articles and indexed conference proceedings published in English between 2016 and 2025 proposing explicit algorithmic hybridization between MH and RL for UAV path planning or navigation were included, provided each vehicle plans its trajectory independently. Cooperative swarms, formation control, multi-agent coordination, and non-hybridized algorithms were excluded. Systematic queries were executed across Web of Science and Scopus using predefined RL and metaheuristic keyword blocks. Title, abstract, and full-text screenings were performed independently by two reviewers to minimize selection bias. Methodological quality was appraised using a five-domain rubric adapted to simulation-based algorithmic studies. Out of 34 full-text reports assessed, 32 studies (2022--2025) comprised the final corpus. Four mutually exclusive hybridization architectures were identified: (A) meta-control, in which RL adaptively tunes MH parameters and operators---the predominant pattern (17 studies, 53.1\\%), most frequently implemented with tabular Q-learning (9/17) and hosted by Particle Swarm Optimization variants (7/17), with the Grey Wolf Optimizer a distant second (3/17); (B) metaheuristic-assisted deep RL via warm-start and replay-buffer initialization (3 studies, 9.4\\%); (C) RL-driven portfolio selection and orchestration (9 studies, 28.1\\%); and (D) multi-stage task decomposition through decoupled pipelines (3 studies, 9.4\\%). Across the whole corpus, PSO and its variants are the dominant metaheuristic host (13 studies, 40.6\\%), ahead of genetic and evolutionary algorithms (9, 28.1\\%) and the Grey Wolf Optimizer family (4, 12.5\\%). The corpus comprises 19 journal articles and 13 indexed conference papers; four of the five studies that model onboard perception in the planning loop are conference papers, which is why proceedings were retained. Applications were dominated by 3D routing (military, logistics, agricultural, and IoT networks) using weighted scalar cost functions that blend path length, safety, smoothness, and energy constraints. Validation relied exclusively on numerical simulation (32/32, 100\\%); no study reported physical UAV hardware flights, and standard robotics middleware (ROS/ROS2, Gazebo, Webots) was absent from the entire corpus. Rigorous statistical testing (Wilcoxon/Friedman) was uneven, and no study released code or data, capping reproducibility. While hybrid RL--MH frameworks consistently improve adaptability and convergence speed over non-hybrid baselines, their technological readiness for real-world deployment remains unproven. Future research must increase statistical rigor, standardize disaggregated evaluation metrics, expand physical hardware validation, and transition toward dynamic and cooperative multi-agent conditions.","url":"https://doi.org/10.21203/rs.3.rs-10315373/v1","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:52.795Z","doi":"10.21203/rs.3.rs-10315373/v1","updatedAt":"2026-08-31T06:40:08.031Z"},{"id":"doi:10.20944/preprints202606.1530.v1","name":"A Modified Seagull Optimization Algorithm with Latin Hypercube Sampling and Levy Flight for 3D Path Planning of UAV","source":"europepmc","abstract":"","url":"https://doi.org/10.20944/preprints202606.1530.v1","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:52.795Z","doi":"10.20944/preprints202606.1530.v1","updatedAt":"2026-08-31T06:40:08.031Z"},{"id":"doi:10.1038/s41598-026-46456-3","name":"An intelligent and adaptive security framework for UAV swarms: a cross-layer approach integrating highly reliable EPUF, DRL-based key management, and distributed ledger technology.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41598-026-46456-3","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:52.795Z","doi":"10.1038/s41598-026-46456-3","updatedAt":"2026-08-31T06:40:08.030Z"},{"id":"doi:10.21203/rs.3.rs-9836103/v1","name":"Authentication and Key Agreement Scheme Based on PUF and Chebyshev Chaotic Map for Blockchain-Enabled UAV Networks","source":"europepmc","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-9836103/v1","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:52.795Z","doi":"10.21203/rs.3.rs-9836103/v1","updatedAt":"2026-08-31T06:40:08.031Z"},{"id":"doi:10.3390/biomimetics11070459","name":"Solving the 3D UAV Path Planning Problem Using an Improved Multi-Leader Multi-Objective Whale Optimization Algorithm.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/biomimetics11070459","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:52.795Z","doi":"10.3390/biomimetics11070459","updatedAt":"2026-08-31T06:40:08.030Z"},{"id":"doi:10.1016/j.isci.2026.116455","name":"PSO-Transformer for mapping soil heavy metals using UAV hyperspectral data with spectral calibration and indices.","source":"europepmc","abstract":"","url":"https://doi.org/10.1016/j.isci.2026.116455","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:52.795Z","doi":"10.1016/j.isci.2026.116455","updatedAt":"2026-08-31T06:40:09.763Z"},{"id":"doi:10.3390/s26092611","name":"Guidance Navigation and Control for Quadrotor UAV Using Lyapunov-Based Backstepping.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s26092611","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:52.795Z","doi":"10.3390/s26092611","updatedAt":"2026-08-31T06:40:08.030Z"},{"id":"doi:10.1038/s41598-026-48487-2","name":"Designing an attention-based approach for RF fingerprinting in drone detection and classification.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41598-026-48487-2","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:52.795Z","doi":"10.1038/s41598-026-48487-2","updatedAt":"2026-08-31T06:40:08.030Z"},{"id":"doi:10.21203/rs.3.rs-9065913/v1","name":"Perception Uncertainty and Collective Robustness in AI-Driven Swarm UAV Systems","source":"europepmc","abstract":"Abstract This paper examines risk formation and propagation in AI-driven swarm-based unmanned aerial vehicle (UAV) systems operating in complex environments. In distributed multiagent systems, perception errors made by individual agents can propagate through collective interaction and amplify at the swarm level. The lack of a structured approach to assessing such risks increases uncertainty during the preparation, training, and operational deployment of AI-based Geospatial Perception Models (AGPM). A methodological framework is introduced to classify risks across the AGPM lifecycle, including knowledge selection, knowledge analysis, model training, and operational stages. The framework considers both human and technological factors and applies the Analytic Hierarchy Process (AHP) to assess their relative significance within a hierarchical multiagent setting. Particular attention is paid to cascading error propagation and its impact on collective swarm behavior. Experiments with contemporary general-purpose multimodal AI systems were conducted to evaluate their ability to interpret graphical representations of complex geospatial scenes relevant to autonomous navigation. The results suggest that while semantic recognition remains stable, spatial-geometric reasoning and formal uncertainty estimation are limited. In swarm-based systems, these limitations may contribute to the amplification of local perception errors. Overall, the analysis indicates that technological risks during operation, especially cascading error propagation among agents, have the strongest influence on the overall risk profile. The framework is intended to clarify how vulnerabilities emerging at different lifecycle stages may affect collective behavior in AI-driven swarm systems.","url":"https://doi.org/10.21203/rs.3.rs-9065913/v1","authors":["Oleksandr Kravchuk","Artem Taranowski","Dmytro Sinko","Hryhoriy Kravtsov","Victor Samoylov"],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:52.795Z","doi":"10.21203/rs.3.rs-9065913/v1","updatedAt":"2026-08-31T06:40:08.031Z"},{"id":"doi:10.20944/preprints202606.0287.v1","name":"CC-MBS: A Missing-Modality-Robust Multimodal Sample Selection Strategy for UAV Swarms","source":"europepmc","abstract":"","url":"https://doi.org/10.20944/preprints202606.0287.v1","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:52.795Z","doi":"10.20944/preprints202606.0287.v1","updatedAt":"2026-08-31T06:40:08.031Z"},{"id":"doi:10.21203/rs.3.rs-9103864/v1","name":"DARA: Distributed Agent Reinforcement-based Adaptive routing in Flying Ad-hoc Network Environments","source":"europepmc","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-9103864/v1","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:52.795Z","doi":"10.21203/rs.3.rs-9103864/v1","updatedAt":"2026-08-31T06:40:08.031Z"},{"id":"doi:10.1016/j.mex.2026.103826","name":"An in-depth analysis of UAV path planning, including procedures, algorithms, optimization models, and emerging challenges.","source":"europepmc","abstract":"","url":"https://doi.org/10.1016/j.mex.2026.103826","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:52.795Z","doi":"10.1016/j.mex.2026.103826","updatedAt":"2026-08-31T06:40:08.030Z"},{"id":"doi:10.20944/preprints202605.1286.v1","name":"Robust Fast 3D Beam Alignment for UAV-Assisted mmWave and Terahertz Communications","source":"europepmc","abstract":"","url":"https://doi.org/10.20944/preprints202605.1286.v1","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:52.795Z","doi":"10.20944/preprints202605.1286.v1","updatedAt":"2026-08-31T06:40:08.031Z"},{"id":"doi:10.21203/rs.3.rs-10372117/v1","name":"ARIES-Mission: A Vision-Language System for Efficient UAV Mission Generation","source":"europepmc","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-10372117/v1","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:52.795Z","doi":"10.21203/rs.3.rs-10372117/v1","updatedAt":"2026-08-31T06:40:08.031Z"},{"id":"doi:10.1038/s41598-026-60603-w","name":"Research on adaptive collaborative dispatch optimization algorithms for drones in distribution networks.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41598-026-60603-w","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:52.795Z","doi":"10.1038/s41598-026-60603-w","updatedAt":"2026-08-31T06:40:08.030Z"},{"id":"doi:10.21203/rs.3.rs-9387581/v1","name":"Estimation of Cotton Leaf Area Index under Verticillium Wilt Stress ： Based on UAV Multispectral &amp; Optimization Algorithm","source":"europepmc","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-9387581/v1","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:52.795Z","doi":"10.21203/rs.3.rs-9387581/v1","updatedAt":"2026-08-31T06:40:08.031Z"},{"id":"doi:10.1038/s41598-025-29590-2","name":"Target-less registration of UAV-LiDAR point clouds based on graph matching of tree locations in forest environments.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41598-025-29590-2","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:52.795Z","doi":"10.1038/s41598-025-29590-2","updatedAt":"2026-08-31T06:40:09.763Z"},{"id":"doi:10.3390/s26030869","name":"A Comprehensive Review of Metaheuristic Algorithms for Node Placement in UAV Communication Networks.","source":"pubmed","abstract":"Unmanned Aerial Vehicle Communication Networks (UAVCNs) have emerged as a transformative solution to enable resilient, scalable, and infrastructure-independent wireless communication in urban and remote environments. A key challenge in UAVCNs is the optimal placement of Unmanned Aerial Vehicle (UAV) nodes to maximize coverage, connectivity, and overall network performance while minimizing latency, energy consumption, and packet loss. As this node placement problem is NP-hard, numerous meta-heuristic algorithms (MHAs) have been proposed to find near-optimal solutions efficiently. Although research in this area has produced a wide range of meta-heuristic algorithmic solutions, most existing review articles focus on MANETs with terrestrial nodes, while comprehensive reviews dedicated to node placement in UAV communication networks are relatively scarce. This article presents a critical and comprehensive review of meta-heuristic algorithms for UAVCN node placement. Beyond surveying existing methods, it systematically analyzes algorithmic strengths, vulnerabilities, and future research directions, offering actionable insights for selecting effective strategies in diverse UAVCN deployment scenarios. To demonstrate practical applicability, selected hybrid algorithms are evaluated in a reproducible Python framework using computational time and coverage metrics, highlighting their ability to optimize multiple objectives and providing guidance for future UAVCN optimization studies.","url":"https://doi.org/10.3390/s26030869","authors":["Temesheva SA","Turlykozhayeva DA","Akhtanov SN","Ussipov NM","Zhunuskanov AA","Sun W","Xu Q","Tao M"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:52.795Z","doi":"10.3390/s26030869","updatedAt":"2026-08-31T06:40:08.030Z"},{"id":"doi:10.21203/rs.3.rs-9957095/v1","name":"ADMOS: An Adaptive Dual-Mode Operational Swarm for Resilient Asset Defense under Communication Jamming","source":"europepmc","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-9957095/v1","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:52.795Z","doi":"10.21203/rs.3.rs-9957095/v1","updatedAt":"2026-08-31T06:40:08.031Z"},{"id":"doi:10.3390/s26092700","name":"Research on Improving Communication Capacity in mmWave Backhaul UAV Networks.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s26092700","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:52.795Z","doi":"10.3390/s26092700","updatedAt":"2026-08-31T06:40:08.030Z"},{"id":"doi:10.1038/s41598-025-33223-z","name":"A bio-inspired swarm UAV framework integrating thermal sensing and optimization-based coordination for efficient search and rescue operations.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41598-025-33223-z","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","addedAt":"2026-08-06T22:48:52.795Z","doi":"10.1038/s41598-025-33223-z","updatedAt":"2026-08-31T06:40:08.030Z"},{"id":"doi:10.1038/s41598-026-40670-9","name":"Police UAV path planning method based on improved PSO using AFS and HJS.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41598-026-40670-9","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:52.795Z","doi":"10.1038/s41598-026-40670-9","updatedAt":"2026-08-31T06:40:08.030Z"},{"id":"doi:10.3390/s26144395","name":"A Comparative Study of Control Approaches in Hybrid Reinforcement Learning-Based Drone Swarms.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s26144395","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:52.795Z","doi":"10.3390/s26144395","updatedAt":"2026-08-31T06:40:08.030Z"},{"id":"doi:10.3390/s26061984","name":"Formation-Constrained Cooperative Localization for UAV Swarms in GNSS-Denied Environments.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s26061984","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:52.795Z","doi":"10.3390/s26061984","updatedAt":"2026-08-31T06:40:08.030Z"},{"id":"doi:10.1038/s41598-026-47251-w","name":"DAFRL: a dynamic adaptive mean field game-based multi-agent cooperative decision-making method.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41598-026-47251-w","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:52.795Z","doi":"10.1038/s41598-026-47251-w","updatedAt":"2026-08-31T06:40:08.030Z"},{"id":"doi:10.21203/rs.3.rs-9239305/v1","name":"Uncertainty-Aware Energy-Optimized Adaptive Swarm Coordination for AI-Enabled Multi-Surveillance","source":"europepmc","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-9239305/v1","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:52.795Z","doi":"10.21203/rs.3.rs-9239305/v1","updatedAt":"2026-08-31T06:40:08.031Z"},{"id":"doi:10.3390/s26020419","name":"AoI-Aware Data Collection in Heterogeneous UAV-Assisted WSNs: Strong-Agent Coordinated Coverage and Vicsek-Driven Weak-Swarm Control.","source":"pubmed","abstract":"Unmanned aerial vehicle (UAV) swarms offer an efficient solution for data collection from widely distributed ground users (GUs). However, incomplete environment information and frequent changes make it challenging for standard centralized planning or pure reinforcement learning approaches to simultaneously maintain global solution quality and local flexibility. We propose a hierarchical data collection framework for heterogeneous UAV-assisted wireless sensor networks (WSNs). A small set of high-capability UAVs (H-UAVs), equipped with substantial computational and communication resources, coordinate regional coverage, trajectory planning, and uplink transmission control for numerous resource-constrained low-capability UAVs (L-UAVs) across power-Voronoi-partitioned areas using multi-agent deep reinforcement learning (MADRL). Specifically, we employ Multi-Agent Deep Deterministic Policy Gradient (MADDPG) to enhance H-UAVs' decision-making capabilities and enable coordinated actions. The partitions are dynamically updated based on GUs' data generation rates and L-UAV density to balance workload and adapt to environmental dynamics. Concurrently, a large number of L-UAVs with limited onboard resources perform self-organized data collection from GUs and execute opportunistic relaying to a remote access point (RAP) via H-UAVs. Within each Voronoi cell, L-UAV motion follows a weighted Vicsek model that incorporates GUs' age of information (AoI), link quality, and congestion avoidance. This spatial decomposition combined with decentralized weak-swarm control enables scalability to large-scale L-UAV deployments. Experiments demonstrate that the proposed strong and weak agent MADDPG (SW-MADDPG) scheme reduces AoI by 30% and 21% compared to No-Voronoi and Heuristic-HUAV baselines, respectively.","url":"https://doi.org/10.3390/s26020419","authors":["Huang L","Li L","Zhao S","Qu D","Xu J"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:52.795Z","doi":"10.3390/s26020419","updatedAt":"2026-08-31T06:40:08.030Z"},{"id":"doi:10.3390/s26010181","name":"A Federated Hierarchical DQN-Based Distributed Intelligent Anti-Jamming Method for UAVs.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s26010181","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","addedAt":"2026-08-06T22:48:52.795Z","doi":"10.3390/s26010181","updatedAt":"2026-08-31T06:40:08.030Z"},{"id":"doi:10.20944/preprints202603.2299.v1","name":"A Systematic Mapping of UAV Swarming Strategies: From Fundamentals to Coordination Mechanisms and Algorithmic Paradigms","source":"europepmc","abstract":"","url":"https://doi.org/10.20944/preprints202603.2299.v1","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:52.795Z","doi":"10.20944/preprints202603.2299.v1","updatedAt":"2026-08-31T06:40:08.031Z"},{"id":"doi:10.2139/ssrn.6595858","name":"Lorenz Airspace Protocol Proposal: Market-Based Low-Altitude Airspace Coordination for eVTOL Operations","source":"crossref","abstract":"This paper introduces the Lorenz Airspace Protocol (LAPP), a coordination framework for dense low-altitude electric vertical takeoff and landing (eVTOL) traffic operating between 1,000 and 1,800 feet above ground level. LAPP combines a heading-based altitude stratification scheme (the hemispheric rule, extended to eight directional sectors) with a market-based slot allocation mechanism using sealed-bid second-price (Vickrey) auctions at route turn points. The protocol reserves capacity for emergency and public-safety operations at zero cost, funded by commercial auction revenues. We present results from an agent-based reference simulator demonstrating that: (1) a lane tolerance of 5-7° minimizes conflicts under uniform traffic assumptions; (2) stricter tolerances beyond this optimum increase conflicts due to turn-point clustering, producing a characteristic U-shaped tradeoff curve; (3) auction-based allocation achieves superior allocative efficiency compared to first-come-first-served (FCFS), directing scarce slots to highest-priority traffic; and (4) layer transition dynamics introduce a new category of vertical conflict whose precise characterization requires higher-fidelity simulation than the present reference implementation provides. LAPP is proposed as an open protocol standard for interoperable eVTOL airspace coordination, with a revenue model that funds infrastructure through market-priced slot allocation.","url":"https://doi.org/10.2139/ssrn.6595858","authors":["Peter Roman"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-05-04T09:30:21Z","addedAt":"2026-08-06T22:48:56.522Z","doi":"10.2139/ssrn.6595858","updatedAt":"2026-08-31T06:39:39.325Z"},{"id":"doi:10.1109/laai69202.2025","name":"2025 International Conference on Low-Altitude Airspace and Artificial Intelligence (LAAI)","source":"crossref","abstract":"","url":"https://doi.org/10.1109/laai69202.2025","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-06-04T19:54:19Z","addedAt":"2026-08-06T22:48:56.522Z","doi":"10.1109/laai69202.2025","updatedAt":"2026-08-31T06:39:36.508Z"},{"id":"doi:10.1109/laai69202.2025.00055","name":"Application of Reinforcement Learning in Low-Altitude Edge Computing Resource Allocation","source":"crossref","abstract":"","url":"https://doi.org/10.1109/laai69202.2025.00055","authors":["Yunyang Huang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-06-04T19:53:14Z","addedAt":"2026-08-06T22:48:56.522Z","doi":"10.1109/laai69202.2025.00055","updatedAt":"2026-08-31T06:39:36.508Z"},{"id":"doi:10.1109/laai69202.2025.00001","name":"Proceedings","source":"crossref","abstract":"","url":"https://doi.org/10.1109/laai69202.2025.00001","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-06-04T19:53:14Z","addedAt":"2026-08-06T22:48:56.522Z","doi":"10.1109/laai69202.2025.00001","updatedAt":"2026-08-31T06:39:36.508Z"},{"id":"doi:10.1109/laai69202.2025.00003","name":"Copyright Page","source":"crossref","abstract":"","url":"https://doi.org/10.1109/laai69202.2025.00003","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-06-04T19:53:14Z","addedAt":"2026-08-06T22:48:56.522Z","doi":"10.1109/laai69202.2025.00003","updatedAt":"2026-08-31T06:39:36.508Z"},{"id":"doi:10.1109/laai69202.2025.00069","name":"Author Index","source":"crossref","abstract":"","url":"https://doi.org/10.1109/laai69202.2025.00069","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-06-04T19:53:14Z","addedAt":"2026-08-06T22:48:56.522Z","doi":"10.1109/laai69202.2025.00069","updatedAt":"2026-08-31T06:39:36.508Z"},{"id":"doi:10.1142/9789819823468_0003","name":"General Aviation: A Mature Economy in Low-Altitude Airspace","source":"crossref","abstract":"","url":"https://doi.org/10.1142/9789819823468_0003","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-03-13T02:27:18Z","addedAt":"2026-08-06T22:48:56.522Z","doi":"10.1142/9789819823468_0003","updatedAt":"2026-08-31T06:39:36.508Z"},{"id":"doi:10.1109/ieeestd.2021.9631203","name":"IEEE Standard for a Framework for Structuring Low-Altitude Airspace for Unmanned Aerial Vehicle (UAV) Operations","source":"crossref","abstract":"","url":"https://doi.org/10.1109/ieeestd.2021.9631203","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2021-11-30T23:44:57Z","addedAt":"2026-08-06T22:48:56.522Z","doi":"10.1109/ieeestd.2021.9631203","updatedAt":"2026-08-31T06:40:02.531Z"},{"id":"doi:10.1109/laai69202.2025.00004","name":"Table of Contents","source":"crossref","abstract":"","url":"https://doi.org/10.1109/laai69202.2025.00004","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-06-04T19:53:14Z","addedAt":"2026-08-06T22:48:56.522Z","doi":"10.1109/laai69202.2025.00004","updatedAt":"2026-08-31T06:39:36.508Z"},{"id":"doi:10.1109/laai69202.2025.00005","name":"Preface :LAAI 2025","source":"crossref","abstract":"","url":"https://doi.org/10.1109/laai69202.2025.00005","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-06-04T19:53:14Z","addedAt":"2026-08-06T22:48:56.522Z","doi":"10.1109/laai69202.2025.00005","updatedAt":"2026-08-31T06:39:36.508Z"},{"id":"doi:10.1109/laai69202.2025.00006","name":"Organizing Committee :LAAI 2025","source":"crossref","abstract":"","url":"https://doi.org/10.1109/laai69202.2025.00006","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-06-04T19:53:14Z","addedAt":"2026-08-06T22:48:56.522Z","doi":"10.1109/laai69202.2025.00006","updatedAt":"2026-08-31T06:39:36.508Z"},{"id":"doi:10.1109/laai69202.2025.00002","name":"Half Title Page","source":"crossref","abstract":"","url":"https://doi.org/10.1109/laai69202.2025.00002","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-06-04T19:53:14Z","addedAt":"2026-08-06T22:48:56.522Z","doi":"10.1109/laai69202.2025.00002","updatedAt":"2026-08-31T06:39:36.508Z"},{"id":"doi:10.2139/ssrn.6174722","name":"Toward a Safer Low-Altitude Airspace in Urban Environments: Risk and Airspace Availability in Central Wuhan","source":"crossref","abstract":"This study quantitatively evaluates the potential of unmanned aerial vehicle (UAVs) operations across different urban functional units, providing a fine-grained understanding of how built form, population density, and regulatory constraints affect low-altitude airspace usability. Using voxel-based spatial modeling and visibility analysis, this study assesses available airspace layers and operational feasibility in four urban regions: central core, historical-commercial, industrial, and community zones. The results reveal pronounced spatial heterogeneity. The central core with high building density and population exposure exhibits lower airspace availability, restricting UAV applications mainly to emergency and inspection tasks. Historical-commercial zones face similar constraints due to heritage protection and narrow streets, although peripheral areas have moderate availability and are suitable for controlled operations, such as façade inspection and fire monitoring. In contrast, industrial areas exhibit the highest operational potential, providing natural UAV corridors ideal for logistics and factory inspections. Residential communities have intermediate availability, necessitating context-sensitive governance to balance service convenience with social tolerance.By integrating spatial simulation results with functional differentiation, this research proposes a conceptual framework for parcel-level airspace governance that emphasizes different vertical zones analogous to land-use regulations. The findings highlight the need for safety–efficiency trade-offs tailored to urban functions, informing planning policy and operational guidelines for future low-altitude urban management. This study contributes to the emerging discourse on three-dimensional urban governance by providing a quantitative foundation for the adaptive, safe, and efficient integration of UAVs into complex city environments.","url":"https://doi.org/10.2139/ssrn.6174722","authors":["Chong Peng","Yuchen Ding","Tingzhen Ming","Wei Zhai","Kejun Du"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-02-03T22:41:03Z","addedAt":"2026-08-06T22:48:56.522Z","doi":"10.2139/ssrn.6174722","updatedAt":"2026-08-31T06:39:36.508Z"},{"id":"doi:10.1109/laai69202.2025.00045","name":"Design of Airport Low-Altitude Traffic Control System Architecture Based on Cloud-Edge Collaboration and Deep Learning","source":"crossref","abstract":"","url":"https://doi.org/10.1109/laai69202.2025.00045","authors":["Yu Yang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-06-04T19:53:14Z","addedAt":"2026-08-06T22:48:56.522Z","doi":"10.1109/laai69202.2025.00045","updatedAt":"2026-08-31T06:39:36.508Z"},{"id":"doi:10.1109/icnsurv.2017.8012048","name":"Safely enabling UAS operations in low-altitude airspace","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icnsurv.2017.8012048","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2017-08-17T20:26:02Z","addedAt":"2026-08-06T22:48:56.522Z","doi":"10.1109/icnsurv.2017.8012048","updatedAt":"2026-08-31T06:39:36.508Z"},{"id":"doi:10.1109/icnsurv.2018.8384933","name":"Addressing the low-altitude airspace integration challenge: USS or UTM core?","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icnsurv.2018.8384933","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2018-06-14T19:31:52Z","addedAt":"2026-08-06T22:48:56.522Z","doi":"10.1109/icnsurv.2018.8384933","updatedAt":"2026-08-31T06:39:36.508Z"},{"id":"doi:10.20944/preprints202407.1321.v1","name":"Research, Analysis and Improvement of Unmanned Aerial Vehicle Path Planning Algorithms in Urban Ultra-Low Altitude Airspace","source":"europepmc","abstract":"Urban ultra-low altitude airspace (ULAA) presents unique challenges for unmanned aerial vehicle (UAV) path planning due to high building density and regulatory constraints. This study analyzes and improves classical path planning algorithms for UAVs in ULAA. Experiments were conducted using A*, RRT, RRT*, and artificial potential field (APF) methods in a simulated environment based on building data from Chengdu City, China. Results show that traditional algorithms struggle in dense obstacle environments, particularly APF due to local minima issues. Enhancements were proposed: a density-aware heuristic for A*, random perturbation for APF, and a hybrid optimization strategy for RRT*. These modifications improved computation time, path length, and obstacle avoidance. The study provides insights into the limitations of classical algorithms and suggests enhancements for more effective UAV path planning in urban environments.","url":"https://doi.org/10.20944/preprints202407.1321.v1","authors":["Jianwei Gao","Weijun Pan"],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2024","addedAt":"2026-08-06T22:48:56.523Z","doi":"10.20944/preprints202407.1321.v1","updatedAt":"2026-08-31T06:39:57.918Z"},{"id":"doi:10.1007/978-3-030-83144-8_10","name":"Cargo Drone Airspace Integration in Very Low Level Altitude","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-030-83144-8_10","authors":["Niklas Peinecke","Thorsten Mühlhausen"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2021-11-02T11:02:57Z","addedAt":"2026-08-06T22:48:56.522Z","doi":"10.1007/978-3-030-83144-8_10","updatedAt":"2026-08-31T06:39:36.508Z"},{"id":"doi:10.21203/rs.3.rs-8500641/v1","name":"A Digital Twin-Driven Computation and Analysis Framework for Low-Altitude Airspace","source":"crossref","abstract":"Abstract To address key challenges in low-altitude airspace management, such as high dynamic complexity, significant safety risks, and information fragmentation, a digital twin-based methodology for low-altitude airspace computation and analysis is proposed in this paper. First, a four-layer digital twin system architecture is established. High-fidelity digital twin mapping of the low-altitude airspace is achieved through the integration of multi-source heterogeneous data, the application of unified spatio-temporal representation, the implementation of dynamic evolution modeling, and the facilitation of bidirectional physical-virtual closed-loop interaction. Second, innovative intelligent algorithms, including a bidirectional GRU-Seq2Seq trajectory prediction model and a Kalman filter-based error compensation mechanism, are incorporated. These components form a comprehensive technical framework that supports quantitative airspace resource evaluation, real-time trajectory analysis, and conflict prediction and early warning. Finally, experimental validation is conducted across three scenarios: single-target conventional flight, multi-target collaborative flight, and extreme weather interference. The results indicate that, compared with the conventional geometric twin approach, the proposed method achieves a 37.2% reduction in trajectory deviation, a 62.5% improvement in conflict warning accuracy, and a 28.6% enhancement in site selection safety. Furthermore, it is shown to outperform traditional methods across five core performance metrics, including computational efficiency and trajectory accuracy, which further confirms its strong suitability for supporting the high-quality development of the low-altitude economy.","url":"https://doi.org/10.21203/rs.3.rs-8500641/v1","authors":["Zhenghan HE","Weibin ZHANG","Peng DU","Zhiyong LIU"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-02-01T14:11:59Z","addedAt":"2026-08-06T22:48:56.522Z","doi":"10.21203/rs.3.rs-8500641/v1","updatedAt":"2026-08-31T06:39:36.508Z"},{"id":"doi:10.2139/ssrn.5357458","name":"A Spatially Structured Collision Avoidance Model for Low-Altitude Uav Navigation in Multi-Layered Airspace","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.5357458","authors":["Yao Xiao","Zihua Li","Wei Huang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-07-18T19:43:37Z","addedAt":"2026-08-06T22:48:56.522Z","doi":"10.2139/ssrn.5357458","updatedAt":"2026-08-31T06:39:36.508Z"},{"id":"doi:10.1109/laai69202.2025.00008","name":"Alternate Traffic Path Optimization Algorithm by Multi Metrics","source":"crossref","abstract":"","url":"https://doi.org/10.1109/laai69202.2025.00008","authors":["Tianyu Cao"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-06-04T19:53:14Z","addedAt":"2026-08-06T22:48:56.522Z","doi":"10.1109/laai69202.2025.00008","updatedAt":"2026-08-31T06:39:36.508Z"},{"id":"doi:10.2139/ssrn.6958660","name":"An Explainable Safety Assessment and Decision Framework for UAV Emergency Landing in Urban Low-Altitude Airspace","source":"crossref","abstract":"Emergency landing is a critical safety function for unmanned aerial vehicles (UAVs) operating in urban low-altitude airspace, where complex environments and ground-risk exposure impose stringent requirements on both landing-site selection and approach-trajectory safety. To address this challenge, this paper presents a semantic-driven and explainable safety assessment and decision framework for UAV emergency landing. From scene-level semantic information, the proposed method constructs complementary safety representations that explicitly characterize touchdown-area feasibility, overflight risk distribution, and hard exclusion zones around high-risk entities. Based on fixed feasibility constraints, a diverse set of non-overlapping emergency landing zone (ELZ) candidates is generated to support consistent and reproducible evaluation.To enable end-to-end assessment, a unified safety evaluation protocol is further developed to quantify site-level safety, path-level safety, and their combined global safety. This formulation provides an interpretable decomposition of safety factors and enables direct comparison across different decision strategies. Experimental results in simulation-consistent urban environments demonstrate that the proposed framework consistently improves end-to-end emergency landing safety compared with representative site-only and path-only decision baselines. In particular, the joint decision strategy achieves the best global safety performance with improved robustness, while the heading-aware planner yields higher overflight safety than geometric shortest-path and semantic A* baselines. These results indicate that explicitly coupling landing-site feasibility and trajectory safety is beneficial for reliable emergency landing decision-making. Beyond algorithmic design, this work establishes a standardized and data-driven safety assessment benchmark, providing a principled foundation for future learning-based and safety-critical UAV emergency landing systems.","url":"https://doi.org/10.2139/ssrn.6958660","authors":["Jintao Tan","Xia Luo","Li Chenglong"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-06-17T12:40:16Z","addedAt":"2026-08-06T22:48:56.522Z","doi":"10.2139/ssrn.6958660","updatedAt":"2026-08-31T06:39:36.508Z"},{"id":"doi:10.5194/egusphere-egu25-3506","name":"Characteristics of Jet Stream in Low-altitude Airspace and Impact to Fog in Tianjin Urban Areas","source":"crossref","abstract":"This study analyzed the temporal and spatial distribution characteristics of jet stream in low airspace (1500 meters) and the impact to fog in Tianjin urban areas, based on the data of the boundary layer wind profiler and the 255 m Meteorological Tower during 2016-2018.The statistical results show that: (1) As for the distribution height of wind jet stream, there are two peak heights within 1500 m, one peak is within 500-600 m, about 23% of the wind stream jet is located at the height; The other peak is located in the 200-300 m range, and about 19% of the jet stream is located at the height; and wind jet streams are more evenly distributed in other low-altitudes airspace. (2) As for the height and frequency seasonal distribution characteristics of the jet stream, the average height of the jet stream is generally located at 700-1000 m, and the seasonal variation of the jet height is not obvious, but the height of the cold season is higher than that of the warm season. The frequency of stream jet in 300-1500 m layer is the lowest in December and the highest in May. In contrast, the low-level jet within the 300 m layer occurs more frequently during the transition from warm to cold season, accounting for about 70% in autumn and winter, with the lowest frequency in June and the highest in October. (3) As for the diurnal distribution characteristics and wind direction of the jet stream, the frequency of wind stream jet at 300-1500 m layer increased at sunset, and the high frequency lasted until dawn of the next day, the character is the same for the low-altitude jet below 300 m, and the frequency during nighttime is more than 70%, far more than the frequency of wind jet at the upper layer. The prevailing jet direction is southwest, accounting for 47%; Followed by northerly wind, accounting for 17%; The southeast (90-180&amp;#176;) jet direction is less than 20%, while the northwest low-level jet stream least frequent. (4) The southerly jet before the fog, which was conducive to the formation of fog, transported water vapor to the fog area; while the northerly jet have bidirectional effect of leading to fog burst or dissipation, which afford to the fog area with cold air and kinetic energy.In conclusion, Due to sparse vertical layer data, such as the FNL reanalysis data, the features of low-altitude airspace jet are rough, especially those below 300 meters. This study supplemented the understanding of the distribution characteristics of the low-altitude jet under 300 m and the effect to fog in Tianjin urban area, which is important for fog forecasting and low-altitude flight meteorological service .&amp;#160;","url":"https://doi.org/10.5194/egusphere-egu25-3506","authors":["Bingui Wu","Tingting Ju","Meng Tian"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-03-14T17:52:37Z","addedAt":"2026-08-06T22:48:56.522Z","doi":"10.5194/egusphere-egu25-3506","updatedAt":"2026-08-31T06:39:36.508Z"},{"id":"doi:10.25172/jalc.56.1.5","name":"Low Altitude Airspace: A Property Rights No-Man's Land","source":"crossref","abstract":"","url":"https://doi.org/10.25172/jalc.56.1.5","authors":["Colin Cahoon"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-07-27T16:57:38Z","addedAt":"2026-08-06T22:48:56.522Z","doi":"10.25172/jalc.56.1.5","updatedAt":"2026-08-31T06:39:36.508Z"},{"id":"doi:10.1109/laai69202.2025.00022","name":"Hybrid Optimization Algorithm and Transformer Design for Low-Resource Chinese-African Neural Machine Translation","source":"crossref","abstract":"","url":"https://doi.org/10.1109/laai69202.2025.00022","authors":["Jianjun Huang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-06-04T19:53:14Z","addedAt":"2026-08-06T22:48:56.522Z","doi":"10.1109/laai69202.2025.00022","updatedAt":"2026-08-31T06:39:36.508Z"},{"id":"doi:10.2514/6.2026-4152","name":"Agent-Based Grid Airspace Modeling and Collaborative Decision-Making for Low-Altitude Flight","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2026-4152","authors":["Jin Wang","Rui Liu","Ziyan Chen","Kin Huat Low"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-06-04T17:45:42Z","addedAt":"2026-08-06T22:48:56.522Z","doi":"10.2514/6.2026-4152","updatedAt":"2026-08-31T06:39:36.508Z"},{"id":"doi:10.2514/6.2011-6536","name":"Convective Weather Avoidance Modeling in Low-Altitude Airspace","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2011-6536","authors":["Scot Campbell","Rich DeLaura"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2012-12-20T03:46:46Z","addedAt":"2026-08-06T22:48:56.522Z","doi":"10.2514/6.2011-6536","updatedAt":"2026-08-31T06:39:36.508Z"},{"id":"doi:10.1109/iccase.2011.5997608","name":"Application of New ATM Technologies in Low-Altitude Airspace Management","source":"crossref","abstract":"","url":"https://doi.org/10.1109/iccase.2011.5997608","authors":["Longfang Mou"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2011-08-31T15:19:35Z","addedAt":"2026-08-06T22:48:56.522Z","doi":"10.1109/iccase.2011.5997608","updatedAt":"2026-08-31T06:39:36.508Z"},{"id":"doi:10.31031/eme.2023.04.000593","name":"Brief Analysis of Main Safety Hazards for Unmanned Aerial System in Low Altitude Airspace","source":"crossref","abstract":"","url":"https://doi.org/10.31031/eme.2023.04.000593","authors":["Feng Dengchao"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-06-10T09:46:06Z","addedAt":"2026-08-06T22:48:56.522Z","doi":"10.31031/eme.2023.04.000593","updatedAt":"2026-08-31T06:39:36.508Z"},{"id":"doi:10.4028/www.scientific.net/amr.709.436","name":"Research on the Key Technologies of Low-Altitude Airspace Surveillance and Navigation System","source":"crossref","abstract":"With the low-altitude airspace opening, the role of surveillance technology in ATC system has increasing prominent. This article used application of image extraction technology, algorithm processing, data fusion and transmission to improve the reliability of surveillance and set up a new structure of network. Finally, we used computers to achieve a new type of low-altitude surveillance system.","url":"https://doi.org/10.4028/www.scientific.net/amr.709.436","authors":["You Hui Zhang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2013-06-27T15:24:59Z","addedAt":"2026-08-06T22:48:56.522Z","doi":"10.4028/www.scientific.net/amr.709.436","updatedAt":"2026-08-31T06:39:36.508Z"},{"id":"doi:10.20944/preprints202510.2136.v1","name":"Low-altitude Airspace UAV Management Based on Intent Driven and Digital Twin System","source":"europepmc","abstract":"","url":"https://doi.org/10.20944/preprints202510.2136.v1","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","addedAt":"2026-08-06T22:48:56.523Z","doi":"10.20944/preprints202510.2136.v1","updatedAt":"2026-08-31T06:39:36.508Z"},{"id":"doi:10.1109/icaice68195.2025.11382346","name":"Multi-Source Elastic Fusion Navigation Technology for Low-Altitude Airspace","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icaice68195.2025.11382346","authors":["Jiang He"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-02-17T21:05:47Z","addedAt":"2026-08-06T22:48:56.522Z","doi":"10.1109/icaice68195.2025.11382346","updatedAt":"2026-08-31T06:39:36.508Z"},{"id":"doi:10.1109/dasc50938.2020.9256553","name":"Low-Power ADS-B for GA Operating in Low Altitude Airspace","source":"crossref","abstract":"","url":"https://doi.org/10.1109/dasc50938.2020.9256553","authors":["Marketa Palenska","Silvie Luisa Brazdilova","Petr Casek","L'ubos Korenciak"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2020-11-18T22:04:08Z","addedAt":"2026-08-06T22:48:56.522Z","doi":"10.1109/dasc50938.2020.9256553","updatedAt":"2026-08-31T06:39:36.508Z"},{"id":"doi:10.1109/laai69202.2025.00010","name":"Predictive Analytics of Adolescent Behavioral Patterns for Mental Health Forecasting","source":"crossref","abstract":"","url":"https://doi.org/10.1109/laai69202.2025.00010","authors":["Lingya Huang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-06-04T19:53:14Z","addedAt":"2026-08-06T22:48:56.522Z","doi":"10.1109/laai69202.2025.00010","updatedAt":"2026-08-31T06:39:36.508Z"},{"id":"doi:10.1109/laai69202.2025.00056","name":"Research on Trajectory Tracking Algorithm for Multi-Joint Arm Coordination","source":"crossref","abstract":"","url":"https://doi.org/10.1109/laai69202.2025.00056","authors":["Cai Dianhan"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-06-04T19:53:14Z","addedAt":"2026-08-06T22:48:56.522Z","doi":"10.1109/laai69202.2025.00056","updatedAt":"2026-08-31T06:39:36.508Z"},{"id":"doi:10.1109/icnsurv.2018.8384848","name":"Addressing the low-altitude airspace integration challenge — USS or UTM core?","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icnsurv.2018.8384848","authors":["Frank Matus","Brenden Hedblom"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2018-06-14T19:31:52Z","addedAt":"2026-08-06T22:48:56.522Z","doi":"10.1109/icnsurv.2018.8384848","updatedAt":"2026-08-31T06:39:36.508Z"},{"id":"doi:10.2514/6.2021-2383","name":"Volumization and Inverse Volumization for Low-Altitude Airspace Geofencing","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2021-2383","authors":["Joseph T. Kim","Akshay Mathur","Nicholas Liberko","Ella Atkins"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2021-07-28T19:32:16Z","addedAt":"2026-08-06T22:48:56.522Z","doi":"10.2514/6.2021-2383","updatedAt":"2026-08-31T06:39:36.508Z"},{"id":"doi:10.1016/j.tranpol.2026.104282","name":"Risk-informed UAV operations in urban low-altitude airspace: Implications for transport policy and airspace management","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.tranpol.2026.104282","authors":["Ligang Yuan","Xinding Zhou","Haiyan Chen","Kun Wang","Dabin Xue","Washington Yotto Ochieng"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-07-02T16:29:53Z","addedAt":"2026-08-06T22:48:56.522Z","doi":"10.1016/j.tranpol.2026.104282","updatedAt":"2026-08-31T06:39:36.508Z"},{"id":"doi:10.1109/laai69202.2025.00009","name":"Regional Road Traffic Volume Prediction Based on Deep Learning","source":"crossref","abstract":"","url":"https://doi.org/10.1109/laai69202.2025.00009","authors":["Ziheng He","Sucan Hu"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-06-04T19:53:14Z","addedAt":"2026-08-06T22:48:56.522Z","doi":"10.1109/laai69202.2025.00009","updatedAt":"2026-08-31T06:39:36.508Z"},{"id":"doi:10.1109/icnsurv.2017.8012027","name":"Minimum risk low altitude airspace integration for larger cargo UAS","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icnsurv.2017.8012027","authors":["Niklas Peinecke","Andreas Volkert","Bernd R. Korn"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2017-08-17T20:26:02Z","addedAt":"2026-08-06T22:48:56.522Z","doi":"10.1109/icnsurv.2017.8012027","updatedAt":"2026-08-31T06:39:36.508Z"},{"id":"doi:10.2514/6.2017-4266","name":"Capacity Estimation for Low Altitude Airspace","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2017-4266","authors":["Vishwanath Bulusu","Valentin Polishchuk","Raja Sengupta","Leonid Sedov"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2017-06-05T19:27:26Z","addedAt":"2026-08-06T22:48:56.522Z","doi":"10.2514/6.2017-4266","updatedAt":"2026-08-31T06:39:36.508Z"},{"id":"doi:10.1061/9780784485484.141","name":"Strategic Conflict Detection Method for Multi-UAVs in Structured Low-Altitude Airspace","source":"crossref","abstract":"","url":"https://doi.org/10.1061/9780784485484.141","authors":["Yupu Liu","Gang Zhong","Sen Du","Jiangying Zhou"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-12-11T06:14:49Z","addedAt":"2026-08-06T22:48:56.522Z","doi":"10.1061/9780784485484.141","updatedAt":"2026-08-31T06:39:36.508Z"},{"id":"doi:10.1109/laai69202.2025.00057","name":"Machine Learning Model Design for Two-Dimensional Photonic Crystals with Point Defects","source":"crossref","abstract":"","url":"https://doi.org/10.1109/laai69202.2025.00057","authors":["Chu Guxuan"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-06-04T19:53:14Z","addedAt":"2026-08-06T22:48:56.522Z","doi":"10.1109/laai69202.2025.00057","updatedAt":"2026-08-31T06:39:36.508Z"},{"id":"doi:10.1109/dasc.2017.8102125","name":"A dynamic airspace planning framework with ADS-B tracks for manned and unmanned aircraft at low-altitude sharing airspace","source":"crossref","abstract":"","url":"https://doi.org/10.1109/dasc.2017.8102125","authors":["Zhiyuan Shen","Xinmiao Cheng","Siyao Zhou","Xin-Min Tang","Han Wang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2017-11-09T16:46:59Z","addedAt":"2026-08-06T22:48:56.522Z","doi":"10.1109/dasc.2017.8102125","updatedAt":"2026-08-31T06:39:36.508Z"},{"id":"doi:10.2139/ssrn.7232659","name":"A Multi-Candidate Semantic Safe-Corridor Planner for Incremental UAV Path Recovery in Grid-Coded Low-Altitude Airspace","source":"crossref","abstract":"Semantic updates in grid-coded low-altitude airspace require front-end unmanned aerial vehicle (UAV) planners that keep recovery decisions tied to airspace-database records. This paper proposes the Multi-Candidate Semantic Safe-Corridor (MC-SSC) planner as a database-indexed corridor-state and connector-verification layer for incremental path recovery. MC-SSC plans over database level-7 (L7) voxels, activates level-8 (L8) child voxels for corridor-local validation, and maintains a ranked pool of corridor candidates with voxel identifiers, hard-semantic admissibility, update exposure, standby availability, and diagnostic labels. Experiments on database-derived urban airspace windows show that the retained corridor state provides usable standby alternatives, supports faster verified recovery in standby-required and repeated-update settings than global replanning or corridor-reconstruction baselines, and preserves corridor membership during refinement through local L8 validation. The method incurs additional static pool-construction and local-validation cost, and deployed end-to-end reaction time remains outside the measured loop. MC-SSC serves as a tactical database-indexed corridor-decision layer for downstream trajectory optimization and supervisory fail-safe policies.","url":"https://doi.org/10.2139/ssrn.7232659","authors":["Junliang Lin","Shigen Gao","Yuwei Nie","Wei Gao"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-08-04T16:36:43Z","addedAt":"2026-08-06T22:48:56.522Z","doi":"10.2139/ssrn.7232659","updatedAt":"2026-08-31T06:39:36.508Z"},{"id":"doi:10.1109/laai69202.2025.00007","name":"Behavior Patterns of Chinese Second Language Learners Based on Big Data Analysis","source":"crossref","abstract":"","url":"https://doi.org/10.1109/laai69202.2025.00007","authors":["Wang Difei"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-06-04T19:53:14Z","addedAt":"2026-08-06T22:48:56.522Z","doi":"10.1109/laai69202.2025.00007","updatedAt":"2026-08-31T06:39:36.508Z"},{"id":"doi:10.1109/laai69202.2025.00015","name":"FPGA-Based Implementation of DWT and Adaptive Filtering for EMG Signal Processing","source":"crossref","abstract":"","url":"https://doi.org/10.1109/laai69202.2025.00015","authors":["Shengxi Cao"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-06-04T19:53:14Z","addedAt":"2026-08-06T22:48:56.522Z","doi":"10.1109/laai69202.2025.00015","updatedAt":"2026-08-31T06:39:36.508Z"},{"id":"doi:10.1088/1742-6596/1302/4/042032","name":"Analysis of Low-Altitude Airspace","source":"crossref","abstract":"Abstract Low-altitude airspace resources have been the bottleneck of the development of general aviation industry and one of the key factors restricting the development of general aviation in China. Through theoretical research and on-the-spot investigation, this paper constructs a low-altitude airspace resource availability evaluation index system, uses multiple linear regression method to carry out systematic analysis, and determines the index weights at all levels. Taking Jiangsu Province as an example, the present situation of low-altitude available resources in Jiangsu Province is deeply analyzed, the actual situation and a large amount of data in various regions are summarized, the influence values of various factors on the region are calculated, and finally the availability results of low-altitude airspace resources are obtained. The research results demonstrate the scientificity and effectiveness of the method, which can provide reference for the rational utilization of low-altitude airspace resources and the declaration of general aviation activity airspace in China.","url":"https://doi.org/10.1088/1742-6596/1302/4/042032","authors":["Shidai Qiu","Dengkai Yao","Zekun Wang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2019-09-03T02:15:04Z","addedAt":"2026-08-06T22:48:56.522Z","doi":"10.1088/1742-6596/1302/4/042032","updatedAt":"2026-08-31T06:39:36.508Z"},{"id":"doi:10.1109/laai69202.2025.00014","name":"Difficulty Assessment System of Chinese Vocabulary Acquisition Based on Artificial Intelligence","source":"crossref","abstract":"","url":"https://doi.org/10.1109/laai69202.2025.00014","authors":["Shiyifan Cheng","Qiaohong Zhang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-06-04T19:53:14Z","addedAt":"2026-08-06T22:48:56.523Z","doi":"10.1109/laai69202.2025.00014","updatedAt":"2026-08-31T06:39:36.508Z"},{"id":"doi:10.1109/tmc.2026.3668209/mm1","name":"Safe and Economical UAV Trajectory Planning in Low-Altitude Airspace: A Hybrid DRL-LLM Algorithm With Compliance Awareness_supp1-3668209.pdf","source":"crossref","abstract":"","url":"https://doi.org/10.1109/tmc.2026.3668209/mm1","authors":["Xiaolin Chang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-02-27T20:51:35Z","addedAt":"2026-08-06T22:48:56.523Z","doi":"10.1109/tmc.2026.3668209/mm1","updatedAt":"2026-08-31T06:39:36.508Z"},{"id":"doi:10.1109/laai69202.2025.00067","name":"Digital Transformation of University Political Education Courses Using Artificial Intelligence and Machine Learning","source":"crossref","abstract":"","url":"https://doi.org/10.1109/laai69202.2025.00067","authors":["Wentai Zhang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-06-04T19:53:14Z","addedAt":"2026-08-06T22:48:56.523Z","doi":"10.1109/laai69202.2025.00067","updatedAt":"2026-08-31T06:39:36.508Z"},{"id":"doi:10.1109/laai69202.2025.00047","name":"Virtual Interactive Visualization Modeling Method for ACL Injury Rehabilitation Process Driven by MR","source":"crossref","abstract":"","url":"https://doi.org/10.1109/laai69202.2025.00047","authors":["Chaohong Wang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-06-04T19:53:14Z","addedAt":"2026-08-06T22:48:56.523Z","doi":"10.1109/laai69202.2025.00047","updatedAt":"2026-08-31T06:39:36.508Z"},{"id":"doi:10.1109/cait70489.2026.11553637","name":"Scene-Risk-Aware Early Warning of Malicious UAV Intent in Low-Altitude Airspace","source":"crossref","abstract":"","url":"https://doi.org/10.1109/cait70489.2026.11553637","authors":["Yizhe Wang","Qingsong Yin","Jincan Ding"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-06-11T19:58:36Z","addedAt":"2026-08-06T22:48:56.523Z","doi":"10.1109/cait70489.2026.11553637","updatedAt":"2026-08-31T06:39:36.508Z"},{"id":"doi:10.1109/laai69202.2025.00046","name":"Machine Learning-Based Mixed-Flow Production Sequencing Demand Forecasting for H Semiconductor Company","source":"crossref","abstract":"","url":"https://doi.org/10.1109/laai69202.2025.00046","authors":["Libin Zhao"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-06-04T19:53:14Z","addedAt":"2026-08-06T22:48:56.523Z","doi":"10.1109/laai69202.2025.00046","updatedAt":"2026-08-31T06:39:36.508Z"},{"id":"doi:10.1109/leficlu65987.2025.11297325","name":"Throughput Efficiency Analysis in Manned-Unmanned Aircraft Integrated Airspace Operations","source":"crossref","abstract":"","url":"https://doi.org/10.1109/leficlu65987.2025.11297325","authors":["Yizhou Yan","Lidong Zhang","Shouhong Yang","Lei Yang","Fan Pu","Dezhen Hu","Jizhi Mao"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-12-19T18:56:52Z","addedAt":"2026-08-06T22:48:56.523Z","doi":"10.1109/leficlu65987.2025.11297325","updatedAt":"2026-08-31T06:39:36.508Z"},{"id":"doi:10.1109/laai69202.2025.00062","name":"Research on the Influence of Rotor Spacing on Lift in Coaxial Dual-Rotor Drones","source":"crossref","abstract":"","url":"https://doi.org/10.1109/laai69202.2025.00062","authors":["Zipeng Chen"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-06-04T19:53:14Z","addedAt":"2026-08-06T22:48:56.523Z","doi":"10.1109/laai69202.2025.00062","updatedAt":"2026-08-31T06:39:36.508Z"},{"id":"doi:10.1007/978-981-95-3016-8_12","name":"Evaluation Method for Urban Low Altitude Airspace Capacity Based on Hierarchical Topological Airspace","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-981-95-3016-8_12","authors":["Yunfei Du","Xuejun Zhang","Zegeng Wang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-11-11T11:43:40Z","addedAt":"2026-08-06T22:48:56.523Z","doi":"10.1007/978-981-95-3016-8_12","updatedAt":"2026-08-31T06:39:36.508Z"},{"id":"doi:10.1109/laai69202.2025.00060","name":"Multi-Objective Path Planning and Energy Efficiency Optimization Method for Industrial Robot Cooperative System","source":"crossref","abstract":"","url":"https://doi.org/10.1109/laai69202.2025.00060","authors":["Sitan Wang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-06-04T19:53:14Z","addedAt":"2026-08-06T22:48:56.523Z","doi":"10.1109/laai69202.2025.00060","updatedAt":"2026-08-31T06:39:36.508Z"},{"id":"doi:10.1109/laai69202.2025.00053","name":"Router Buffer and Membrane Potential Memory Sharing Mechanism for Spiking Neural Network Hardware Systems","source":"crossref","abstract":"","url":"https://doi.org/10.1109/laai69202.2025.00053","authors":["Rongping Jiao"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-06-04T19:53:14Z","addedAt":"2026-08-06T22:48:56.523Z","doi":"10.1109/laai69202.2025.00053","updatedAt":"2026-08-31T06:39:36.508Z"},{"id":"doi:10.1109/laai69202.2025.00011","name":"Optimizing Convolutional Neural Network-Based Emotion Recognition: Effects of Layers, Batch Size, and Optimizers","source":"crossref","abstract":"","url":"https://doi.org/10.1109/laai69202.2025.00011","authors":["Ruining Xia"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-06-04T19:53:14Z","addedAt":"2026-08-06T22:48:56.523Z","doi":"10.1109/laai69202.2025.00011","updatedAt":"2026-08-31T06:39:36.508Z"},{"id":"doi:10.2514/6.2018-3032","name":"A Throughput Based Capacity Metric for Low-Altitude Airspace","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2018-3032","authors":["Vishwanath Bulusu","Raja Sengupta","Eric R. Mueller","Min Xue"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2018-06-24T13:57:23Z","addedAt":"2026-08-06T22:48:56.523Z","doi":"10.2514/6.2018-3032","updatedAt":"2026-08-31T06:39:36.508Z"},{"id":"doi:10.1109/laai69202.2025.00068","name":"A Method for Visual Communication Image Style Recognition and Creative Reconstruction Based on Deep Learning","source":"crossref","abstract":"","url":"https://doi.org/10.1109/laai69202.2025.00068","authors":["Guicai Yang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-06-04T19:53:14Z","addedAt":"2026-08-06T22:48:56.523Z","doi":"10.1109/laai69202.2025.00068","updatedAt":"2026-08-31T06:39:36.508Z"},{"id":"doi:10.1109/laai69202.2025.00058","name":"Dynamic Credit Scoring Model Enhanced by Machine Learning Algorithms: A Case Study of Sesame Credit","source":"crossref","abstract":"","url":"https://doi.org/10.1109/laai69202.2025.00058","authors":["Ruitong Bian"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-06-04T19:53:14Z","addedAt":"2026-08-06T22:48:56.523Z","doi":"10.1109/laai69202.2025.00058","updatedAt":"2026-08-31T06:39:36.508Z"},{"id":"doi:10.1109/laai69202.2025.00064","name":"Design of an Attribute Inference Attack Mitigation Algorithm for Sentiment Analysis Tasks in Federated Learning","source":"crossref","abstract":"","url":"https://doi.org/10.1109/laai69202.2025.00064","authors":["Hao Luo"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-06-04T19:53:14Z","addedAt":"2026-08-06T22:48:56.523Z","doi":"10.1109/laai69202.2025.00064","updatedAt":"2026-08-31T06:39:36.508Z"},{"id":"doi:10.1109/icuas.2016.7502528","name":"3D path planning for small UAS operating in low-altitude airspace","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icuas.2016.7502528","authors":["Laith R. Sahawneh","Matthew E. Argyle","Randal W. Beard"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2016-07-04T21:09:13Z","addedAt":"2026-08-06T22:48:56.523Z","doi":"10.1109/icuas.2016.7502528","updatedAt":"2026-08-31T06:39:36.508Z"},{"id":"doi:10.1016/j.proeng.2011.10.042","name":"Airworthiness Management of Light Sport Aircraft (LSA) In the Situation of Opening Low-Altitude Airspace","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.proeng.2011.10.042","authors":["WANG Yonggang","FAN Mengmeng"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2011-12-05T13:36:33Z","addedAt":"2026-08-06T22:48:56.523Z","doi":"10.1016/j.proeng.2011.10.042","updatedAt":"2026-08-31T06:39:36.508Z"},{"id":"doi:10.1109/laai69202.2025.00024","name":"Construction of a Basic Nursing Practical Training Operation Action Evaluation Model Based on Deep Learning","source":"crossref","abstract":"","url":"https://doi.org/10.1109/laai69202.2025.00024","authors":["Ge Liang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-06-04T19:53:14Z","addedAt":"2026-08-06T22:48:56.523Z","doi":"10.1109/laai69202.2025.00024","updatedAt":"2026-08-31T06:39:36.508Z"},{"id":"doi:10.1109/laai69202.2025.00061","name":"Synthesis and Performance Prediction of Electrode Materials for Sodium Ion Batteries Optimized by Machine Learning","source":"crossref","abstract":"","url":"https://doi.org/10.1109/laai69202.2025.00061","authors":["Zhou Hengyu"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-06-04T19:53:14Z","addedAt":"2026-08-06T22:48:56.523Z","doi":"10.1109/laai69202.2025.00061","updatedAt":"2026-08-31T06:39:36.508Z"},{"id":"doi:10.1109/laai69202.2025.00059","name":"Cotton Futures Forecast Based on LD-BiLSTM","source":"crossref","abstract":"","url":"https://doi.org/10.1109/laai69202.2025.00059","authors":["Yuxian Jiang","Liang Huang","Xingtong Li","Mili Chen","Qiuhong Liu"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-06-04T19:53:14Z","addedAt":"2026-08-06T22:48:56.523Z","doi":"10.1109/laai69202.2025.00059","updatedAt":"2026-08-31T06:39:36.508Z"},{"id":"doi:10.3390/s26041270","name":"Probabilistic Bird Trajectory Forecasting with Heavy-Tailed Uncertainty Modeling for Low-Altitude Airspace Monitoring","source":"crossref","abstract":"The low-altitude airspace of bird flocks is gradually shared by unmanned aerial vehicles (UAVs), posing safety risks that necessitate accurate trajectory forecasting. However, existing vision-based methods often treat trajectory prediction and UAV detection as separate tasks, assume light-tailed Gaussian noise, and rely on heavy backbones. These limitations, when applied to bird trajectory forecasting, limit uncertainty calibration and embedded deployment in ground-based monocular surveillance. In this work, we propose a unified framework for low-altitude monitoring. Its core, Mini-BirdFormer, combines a lightweight Transformer encoder with a Student-t mixture density head to model heavy-tailed flight dynamics and produce calibrated uncertainty. Experiments on a real-world dataset show the model achieves strong long-horizon performance with only 1.05 million parameters, attaining a minADE of 0.785 m and reducing negative log-likelihood from 1.25 to −2.01 (lower is better) compared with a Gaussian Long Short-Term Memory (LSTM) baseline. Crucially, it enables low-latency inference on resource-constrained platforms at 616 FPS. Additionally, a system-level extension supports zero-shot UAV detection via open-vocabulary learning, attaining 92% recall without false alarms. Results demonstrate that combining heavy-tailed probabilistic modeling with a compact backbone provides a practical, deployable approach for monitoring shared airspace.","url":"https://doi.org/10.3390/s26041270","authors":["Feiyang Song","Zhonghe Liu","Yuyang Zhao","Jingguo Zhu"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-02-16T08:38:39Z","addedAt":"2026-08-06T22:48:56.523Z","doi":"10.3390/s26041270","updatedAt":"2026-08-31T06:39:36.508Z"},{"id":"doi:10.1109/laai69202.2025.00034","name":"Research on the Application of Reinforcement Learning Algorithms in Multi-Objective Scheduling of Construction Engineering","source":"crossref","abstract":"","url":"https://doi.org/10.1109/laai69202.2025.00034","authors":["Longkun Lu"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-06-04T19:53:14Z","addedAt":"2026-08-06T22:48:56.523Z","doi":"10.1109/laai69202.2025.00034","updatedAt":"2026-08-31T06:39:36.508Z"},{"id":"doi:10.1109/icemi.2015.7494485","name":"The primary exploration of alarm chart visualization matching technology in low altitude airspace","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icemi.2015.7494485","authors":["Feng Dengchao","Qin Huanyu"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2016-06-24T01:56:23Z","addedAt":"2026-08-06T22:48:56.523Z","doi":"10.1109/icemi.2015.7494485","updatedAt":"2026-08-31T06:39:36.508Z"},{"id":"doi:10.2139/ssrn.4348597","name":"A Review of Airspace Designs and Operations for Uas Traffic Management at Low Altitude","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.4348597","authors":["Ui-Jeong Lee","Sang-Jun Ahn","Dong-Young Choi","Sang-Min Chin","Dae-Sung Jang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-02-05T06:26:54Z","addedAt":"2026-08-06T22:48:56.523Z","doi":"10.2139/ssrn.4348597","updatedAt":"2026-08-31T06:39:36.508Z"},{"id":"doi:10.1109/laai69202.2025.00023","name":"Research on Intelligent Integration and Transformation of University Human Resource Systems Driven by New Quality Productivity","source":"crossref","abstract":"","url":"https://doi.org/10.1109/laai69202.2025.00023","authors":["He Huihui"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-06-04T19:53:14Z","addedAt":"2026-08-06T22:48:56.523Z","doi":"10.1109/laai69202.2025.00023","updatedAt":"2026-08-31T06:39:36.508Z"},{"id":"doi:10.1109/laai69202.2025.00016","name":"Modeling of Personalized Learning Paths for Vocational College Students Supported by Artificial Intelligence Recommendation Algorithms","source":"crossref","abstract":"","url":"https://doi.org/10.1109/laai69202.2025.00016","authors":["Ya-Wei Liu"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-06-04T19:53:14Z","addedAt":"2026-08-06T22:48:56.523Z","doi":"10.1109/laai69202.2025.00016","updatedAt":"2026-08-31T06:39:36.508Z"},{"id":"doi:10.1109/peeec60561.2023.00186","name":"Low-altitude Airspace Conflict Detection and Avoidance Algorithm Based on Computer Vision and Multi-sensors","source":"crossref","abstract":"","url":"https://doi.org/10.1109/peeec60561.2023.00186","authors":["Ji Song"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-02-01T18:30:35Z","addedAt":"2026-08-06T22:48:56.523Z","doi":"10.1109/peeec60561.2023.00186","updatedAt":"2026-08-31T06:39:36.508Z"},{"id":"doi:10.62517/jes.202502431","name":"A review of Key Technologies for UAV-Assisted Intelligent Reflective Surface (RIS) Communication in Low-Altitude Airspace","source":"crossref","abstract":"This paper reviews the key technologies for unmanned aerial vehicle (UAV)-assisted smart reflective surface (RIS) communications in 6G low-altitude airspace. By combining the flexibility of UAVs with the low-power wireless environment reconfiguration capabilities of RIS, this system aims to address the challenges of high traffic volume, low energy consumption, and complex electromagnetic environments. The article systematically reviews system architecture, channel modeling, and joint optimization of trajectory and phase shift. Research trends are shifting from static optimization of a single UAV to multi-UAV collaboration and AI-driven real-time predictive control. Analysis shows that integrated systems can achieve up to 87% throughput improvements and enhanced physical layer security. Finally, the article explores core challenges such as cascaded channel estimation and robustness, and outlines future directions such as AI-powered optimization, terahertz applications, and integrated air, land, and sea networks.","url":"https://doi.org/10.62517/jes.202502431","authors":["Haozhe Han"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-01-22T09:42:31Z","addedAt":"2026-08-06T22:48:56.523Z","doi":"10.62517/jes.202502431","updatedAt":"2026-08-31T06:39:36.508Z"},{"id":"doi:10.1109/isaes66870.2025.11274379","name":"Research on Positioning and Path Planning Technologies for UAVs in Low-Altitude Airspace","source":"crossref","abstract":"","url":"https://doi.org/10.1109/isaes66870.2025.11274379","authors":["Kexin Han","Shengjun Qi","Yunrui Zhang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-12-11T18:43:07Z","addedAt":"2026-08-06T22:48:56.523Z","doi":"10.1109/isaes66870.2025.11274379","updatedAt":"2026-08-31T06:39:36.508Z"},{"id":"doi:10.4271/2026-99-0597","name":"A Review of UAV Support Technologies for Low-Altitude Airspace Operation and Management","source":"crossref","abstract":"&lt;div class=\"section abstract\"&gt;&lt;div class=\"htmlview paragraph\"&gt;In recent years, with the low-altitude economy developing rapidly, the operation and management of low-altitude airspace has gradually become a hot topic. Unmanned aerial vehicles (UAVs) constitute a fundamental component of the low-altitude airspace ecosystem, significantly influencing its structure and functionality. The technological advancement of UAVs has fundamentally transformed the operational paradigm for low-altitude airspace management. This paper presents a comprehensive review of UAV-supported technologies in the context of low-altitude airspace operations and management. It systematically analyzes key technologies and applications of UAVs in areas such as airspace capacity and safety assessment, trajectory planning, and standardized flight management. Drawing from kinematic analysis and traffic flow theory, UAV density control and collision risk prediction offer quantitative insights into airspace capacity evaluation. Additionally, probabilistic analysis and simulation techniques enhance the accuracy and efficiency of safety assessments. In trajectory planning, multi-objective optimization algorithms tailored to operational scenarios—such as logistics delivery and agricultural operations—have significantly improved the utilization of airspace resources. Concurrently, collision avoidance techniques leveraging graph search, numerical optimization, and machine learning ensure flight safety in complex environments. Standardized flight management relies on pilot qualification review, airworthiness certification, and planning standardization, while discussing airspace segmentation strategies based on geofencing and intelligent control systems. Future developments in UAV-supported technologies are expected to trend toward higher precision, intelligence, and regulatory integration. By incorporating cutting-edge fields such as deep reinforcement learning and digital integration, these technologies are poised to further enhance the efficiency and safety of low-altitude airspace management, thereby providing robust technical support for the sustainable growth of the low-altitude economy.&lt;/div&gt;&lt;/div&gt;","url":"https://doi.org/10.4271/2026-99-0597","authors":["Lei Gong","Zhenxiao Ma","Qin Luo"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-07-10T00:01:20Z","addedAt":"2026-08-06T22:48:56.523Z","doi":"10.4271/2026-99-0597","updatedAt":"2026-08-31T06:39:36.508Z"},{"id":"doi:10.1109/laai69202.2025.00012","name":"An Improved Convolutional Neural Network with Variance Dynamic Adjustment for Brain Tumour Detection in MRI Images","source":"crossref","abstract":"","url":"https://doi.org/10.1109/laai69202.2025.00012","authors":["Yucheng Xie"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-06-04T19:53:14Z","addedAt":"2026-08-06T22:48:56.523Z","doi":"10.1109/laai69202.2025.00012","updatedAt":"2026-08-31T06:39:36.508Z"},{"id":"doi:10.1109/laai69202.2025.00019","name":"Design and Testing of ROS Robot Path Planning Control System Based on Multi-Agent Collaboration Mechanism","source":"crossref","abstract":"","url":"https://doi.org/10.1109/laai69202.2025.00019","authors":["Yishuo Zhang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-06-04T19:53:14Z","addedAt":"2026-08-06T22:48:56.523Z","doi":"10.1109/laai69202.2025.00019","updatedAt":"2026-08-31T06:39:36.508Z"},{"id":"doi:10.1109/ispaw.2011.10","name":"Group Tracking of Flock Targets in Low-Altitude Airspace","source":"crossref","abstract":"","url":"https://doi.org/10.1109/ispaw.2011.10","authors":["Weishi Chen","Hong Liu","Sha Hu","Huansheng Ning"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2011-07-20T16:58:08Z","addedAt":"2026-08-06T22:48:56.523Z","doi":"10.1109/ispaw.2011.10","updatedAt":"2026-08-31T06:39:36.508Z"},{"id":"doi:10.2139/ssrn.6263809","name":"An E!cient Real-Time Semantic Segmentation Framework for Candidate Landing Zone Recognition in Urban Low-Altitude Airspace","source":"crossref","abstract":"With the rapid growth of the low-altitude economy and urban air mobility, ensuring the operational safety of low-altitude aerial vehicles in dense urban environments has become a critical engineering challenge, particularly under GPS loss or abnormal flight conditions that require emergency landing. Reliable real-time perception of feasible landing zones is therefore essential to support autonomous emergency landing decision-making for unmanned aerial vehicles and eVTOL aircraft. To address this challenge, this paper proposes LZSeg-PID, a real-time semantic segmentation framework with dedicated architectural and learning design for safety-critical aerial perception. The proposed method introduces a tri-branch architecture that explicitly decouples and jointly models detailed spatial information, global contextual semantics, and boundary-aware features. In addition, a boundary-aware multi-task learning strategy is developed, incorporating explicit boundary supervision and OHEM, to enhance small-object recognition and boundary discrimination under real-time constraints. The proposed framework is evaluated on three representative aerial benchmarks—UDD6, VDD, and UAVid—covering complex urban scenes with heterogeneous surface categories and scale variations. Experimental results demonstrate that LZSeg-PID achieves a favorable trade-o! between segmentation accuracy and inference e\"ciency, consistently outperforming state-of-the-art lightweight segmentation baselines. The accuracy-oriented variant reaches 77.1% mIoU (62.6 FPS), 81.1% mIoU (43.2 FPS), and 69.3% mIoU (39.8 FPS) on the respective datasets, while the lightweight variant (7.6M parameters) attains 73.7% mIoU (136.7 FPS), 71.9% mIoU (101.1 FPS), and 67.6% mIoU (93.2 FPS). These results demonstrate the e!ectiveness and practical feasibility of the proposed framework for real-time onboard perception in low-altitude emergency landing scenarios.","url":"https://doi.org/10.2139/ssrn.6263809","authors":["Jingjing Qian","Yang Cheng","Xinmin Tang","Siyao Zhou","Junwei Gu","Wei Dai"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-02-18T17:39:31Z","addedAt":"2026-08-06T22:48:56.523Z","doi":"10.2139/ssrn.6263809","updatedAt":"2026-08-31T06:39:36.508Z"},{"id":"doi:10.1109/laai69202.2025.00066","name":"Research on Intelligent Strategy and Digital Operation of Automobile Industry Based on Artificial Intelligence","source":"crossref","abstract":"","url":"https://doi.org/10.1109/laai69202.2025.00066","authors":["Chao Ma","Grace R. Tobias"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-06-04T19:53:14Z","addedAt":"2026-08-06T22:48:56.523Z","doi":"10.1109/laai69202.2025.00066","updatedAt":"2026-08-31T06:39:36.508Z"},{"id":"doi:10.2514/6.2019-3514","name":"Real-time UAV Trajectory Prediction for Safety Monitoring in Low-Altitude Airspace","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2019-3514","authors":["Matteo Corbetta","Portia Banerjee","Wendy Okolo","George Gorospe","Dmitry G. Luchinsky"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2019-06-15T13:37:16Z","addedAt":"2026-08-06T22:48:56.523Z","doi":"10.2514/6.2019-3514","updatedAt":"2026-08-31T06:39:36.508Z"},{"id":"doi:10.1109/dasc62030.2024.10749262","name":"Towards a Strategic Deconfliction Service Based on Multi-Objective Path Planning for Low Altitude Airspace","source":"crossref","abstract":"","url":"https://doi.org/10.1109/dasc62030.2024.10749262","authors":["Flavia Causa","Giancarmine Fasano"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-11-15T18:44:23Z","addedAt":"2026-08-06T22:48:56.523Z","doi":"10.1109/dasc62030.2024.10749262","updatedAt":"2026-08-31T06:39:36.508Z"},{"id":"doi:10.2514/6.2026-0234","name":"A Game-Theoretic A-Star Method for Multi-UAV Path Planning in Urban Low-Altitude Airspace","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2026-0234","authors":["Kangbo Guo","Kaiquan Cai","Yanbo Zhu","Peng Zhao"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-01-28T05:59:51Z","addedAt":"2026-08-06T22:48:56.523Z","doi":"10.2514/6.2026-0234","updatedAt":"2026-08-31T06:39:36.508Z"},{"id":"doi:10.1109/icuas57906.2023.10180409","name":"Can a Laplace PDE Define Air Corridors through Low-Altitude Airspace?","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icuas57906.2023.10180409","authors":["Aeris El Asslouj","Ella Atkins","Hossein Rastgoftar"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-07-14T17:17:55Z","addedAt":"2026-08-06T22:48:56.523Z","doi":"10.1109/icuas57906.2023.10180409","updatedAt":"2026-08-31T06:39:36.508Z"},{"id":"doi:10.1109/iucc65928.2024.00067","name":"Coverage Solution for Airspace Routes in Low Altitude Network","source":"crossref","abstract":"","url":"https://doi.org/10.1109/iucc65928.2024.00067","authors":["Bao Guo","Jinge Guo","Jiayu Li","Jinhu Shen","Xiaoxuan Du","Yang Zhang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-07-02T17:40:34Z","addedAt":"2026-08-06T22:48:56.523Z","doi":"10.1109/iucc65928.2024.00067","updatedAt":"2026-08-31T06:39:36.508Z"},{"id":"doi:10.1109/laai69202.2025.00065","name":"Research on Nonlinear Vibration Suppression Optimization of Gear Transmission System Based on Deep Learning Fine-Tuning","source":"crossref","abstract":"","url":"https://doi.org/10.1109/laai69202.2025.00065","authors":["Haojie Wen","Xiaoxia Jiang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-06-04T19:53:14Z","addedAt":"2026-08-06T22:48:56.523Z","doi":"10.1109/laai69202.2025.00065","updatedAt":"2026-08-31T06:39:36.508Z"},{"id":"doi:10.1109/laai69202.2025.00020","name":"Implementation of an Intelligent Identification and Tracking System for Urban Environmental Pollution Sources Based on Deep Learning","source":"crossref","abstract":"","url":"https://doi.org/10.1109/laai69202.2025.00020","authors":["Xin Jin"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-06-04T19:53:14Z","addedAt":"2026-08-06T22:48:56.523Z","doi":"10.1109/laai69202.2025.00020","updatedAt":"2026-08-31T06:39:36.508Z"},{"id":"doi:10.1109/laai69202.2025.00028","name":"Research on the Digital Translation Mechanism of College Chorus from the Perspective of Artificial Intelligence","source":"crossref","abstract":"","url":"https://doi.org/10.1109/laai69202.2025.00028","authors":["Xiao Liu","Lili Zhang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-06-04T19:53:14Z","addedAt":"2026-08-06T22:48:56.523Z","doi":"10.1109/laai69202.2025.00028","updatedAt":"2026-08-31T06:39:36.508Z"},{"id":"doi:10.2514/6.2018-0077","name":"UAS Surveillance in Low-altitude Airspace with Geofencing: Constrained Stochastic Linear Hybrid Systems Approach","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2018-0077","authors":["Jooyoung Lee","Inseok Hwang","David Hyunchul Shim"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2018-01-08T01:42:38Z","addedAt":"2026-08-06T22:48:56.523Z","doi":"10.2514/6.2018-0077","updatedAt":"2026-08-31T06:39:36.508Z"},{"id":"doi:10.1109/laai69202.2025.00032","name":"Emotional Participation Modeling and System Optimization of College Students Using Generative AI Chat Robot","source":"crossref","abstract":"","url":"https://doi.org/10.1109/laai69202.2025.00032","authors":["Ding Huanhuan","Feng Guoyan","Xia Xiaoxian"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-06-04T19:53:14Z","addedAt":"2026-08-06T22:48:56.523Z","doi":"10.1109/laai69202.2025.00032","updatedAt":"2026-08-31T06:39:36.508Z"},{"id":"doi:10.1007/978-3-030-83144-8_14","name":"Detect and Avoid for Unmanned Aircraft in Very Low Level Airspace","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-030-83144-8_14","authors":["Lukas Marcel Schalk","Niklas Peinecke"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2021-11-02T11:02:57Z","addedAt":"2026-08-06T22:48:56.523Z","doi":"10.1007/978-3-030-83144-8_14","updatedAt":"2026-08-31T06:39:36.508Z"},{"id":"doi:10.1109/laai69202.2025.00025","name":"Analysis of Dual Agent Single Machine Scheduling Problem and Optimal Strategy with Truncated Learning Effect","source":"crossref","abstract":"","url":"https://doi.org/10.1109/laai69202.2025.00025","authors":["Lan Qing","Wang Ji-Bo"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-06-04T19:53:14Z","addedAt":"2026-08-06T22:48:56.523Z","doi":"10.1109/laai69202.2025.00025","updatedAt":"2026-08-31T06:39:36.508Z"},{"id":"doi:10.1109/laai69202.2025.00027","name":"The Implementation Method of Facial Expression Reconstruction and Driving Algorithm for 3D Characters in Digital Media Art","source":"crossref","abstract":"","url":"https://doi.org/10.1109/laai69202.2025.00027","authors":["Mi Jing"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-06-04T19:53:14Z","addedAt":"2026-08-06T22:48:56.523Z","doi":"10.1109/laai69202.2025.00027","updatedAt":"2026-08-31T06:39:36.508Z"},{"id":"doi:10.1038/s41598-026-53111-4","name":"A digital twin-driven computation and analysis framework for low-altitude airspace.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41598-026-53111-4","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:56.523Z","doi":"10.1038/s41598-026-53111-4","updatedAt":"2026-08-31T06:39:36.508Z"},{"id":"doi:10.3389/fnbot.2025.1482327","name":"Study on the standardization method of radiotelephony communication in low-altitude airspace based on BART.","source":"europepmc","abstract":"The development of air traffic control (ATC) automation has been constrained by the scarcity and low quality of communication data, particularly in low-altitude complex airspace, where non-standardized instructions frequently hinder training efficiency and operational safety. This paper proposes the BART-Reinforcement Learning (BRL) model, a deep reinforcement learning model based on the BART pre-trained language model, optimized through transfer learning and reinforcement learning techniques. The model was evaluated on multiple ATC datasets, including training flight data, civil aviation operational data, and standardized datasets generated from Radiotelephony Communications for Air Traffic Services. Evaluation metrics included ROUGE and semantic intent-based indicators, with comparative analysis against several baseline models. Experimental results demonstrate that BRL achieves a 10.5% improvement in overall accuracy on the training dataset with the highest degree of non-standardization, significantly outperforming the baseline models. Furthermore, comprehensive evaluations validate the model's effectiveness in standardizing various types of instructions. The findings suggest that reinforcement learning-based approaches have the potential to significantly enhance ATC automation, reducing communication inconsistencies, and improving training efficiency and operational safety. Future research may further optimize standardization by incorporating additional contextual factors into the model.","url":"https://doi.org/10.3389/fnbot.2025.1482327","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","addedAt":"2026-08-06T22:48:56.523Z","doi":"10.3389/fnbot.2025.1482327","updatedAt":"2026-08-31T06:39:36.508Z"},{"id":"doi:10.3390/s19214779","name":"Internet of Unmanned Aerial Vehicles-A Multilayer Low-Altitude Airspace Model for Distributed UAV Traffic Management.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s19214779","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2019","addedAt":"2026-08-06T22:48:56.523Z","doi":"10.3390/s19214779","updatedAt":"2026-08-31T06:39:36.508Z"},{"id":"doi:10.1021/acs.langmuir.6c01419","name":"Aging Resistance Performance and Mechanisms of SBS-Modified Bitumen Enhanced with Carbon Nanomaterials.","source":"europepmc","abstract":"","url":"https://doi.org/10.1021/acs.langmuir.6c01419","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:56.523Z","doi":"10.1021/acs.langmuir.6c01419","updatedAt":"2026-08-31T06:39:36.508Z"},{"id":"doi:10.21203/rs.3.rs-8005441/v1","name":"Research on the Governance Challenges and Institutional Pathways of the Low-Altitude Economy: A Case Study of the Guangdong–Hong Kong–Macao Greater Bay Area","source":"europepmc","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-8005441/v1","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:56.523Z","doi":"10.21203/rs.3.rs-8005441/v1","updatedAt":"2026-08-31T06:39:57.842Z"},{"id":"doi:10.1371/journal.pone.0338949","name":"An intrinsic dynamics capture network for long-term airspace traffic prediction.","source":"europepmc","abstract":"","url":"https://doi.org/10.1371/journal.pone.0338949","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:56.523Z","doi":"10.1371/journal.pone.0338949","updatedAt":"2026-08-31T06:39:36.508Z"},{"id":"doi:10.3791/72147","name":"A Standardized Protocol for Medical Specimen Delivery by Uncrewed Aerial Vehicles in Multi-Campus Hospitals.","source":"europepmc","abstract":"","url":"https://doi.org/10.3791/72147","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:56.523Z","doi":"10.3791/72147","updatedAt":"2026-08-31T06:40:02.906Z"},{"id":"doi:10.3390/s26144355","name":"EA-AHS: A Perception-Driven Adaptive Heuristic Framework for Real-Time UAV Path Planning in Complex Urban Environments.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s26144355","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:56.523Z","doi":"10.3390/s26144355","updatedAt":"2026-08-31T06:39:36.508Z"},{"id":"doi:10.1016/j.dib.2026.112448","name":"VisioDECT: A robust dataset for aerial and scenario based multi-drone detection, identification, and neutralization.","source":"europepmc","abstract":"","url":"https://doi.org/10.1016/j.dib.2026.112448","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:56.523Z","doi":"10.1016/j.dib.2026.112448","updatedAt":"2026-08-31T06:39:36.508Z"},{"id":"doi:10.20944/preprints202603.1669.v1","name":"A Spatio-Temporal Collaborative Improved Multi-Strategy Dung Beetle Optimization Algorithm for 3D Path Planning of Multiple Unmanned Aerial Vehicles in Cities","source":"europepmc","abstract":"","url":"https://doi.org/10.20944/preprints202603.1669.v1","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:56.523Z","doi":"10.20944/preprints202603.1669.v1","updatedAt":"2026-08-31T06:40:08.031Z"},{"id":"doi:10.1038/s41598-025-32450-8","name":"Adaptive airspace allocation model for urban drone logistics using multi-objective optimization under uncertainty.","source":"pubmed","abstract":"The large-scale application of urban unmanned aerial vehicle (UAV) logistics is confronted with challenges such as limited airspace resources, dynamic changes in demand, and multiple uncertainties. Traditional static allocation methods are difficult to adapt to complex urban environments. This study constructs a DRL-RO hybrid framework that integrates deep reinforcement learning and discrete robust optimization. It characterizes the influence mechanisms of demand fluctuations, weather changes, and emergencies through a three-layer uncertainty modeling system, and introduces a policy network enhanced by an attention mechanism to capture spatio-temporal correlations in the spatial domain. The improved MOEA/D-DRL algorithm is adopted to achieve rapid approximation of the Pareto frontier. The verification of the actual scenarios in Shenzhen shows that this framework reduces the computational complexity to the sub-quadratic level while maintaining a high success rate. Through the hierarchical airspace management strategy, it effectively balances the three goals of distribution efficiency, flight safety and operating costs. The Wasserstein sphere constraint ensures robustness and scalability in extreme scenarios. It provides theoretical support and technical solutions for the construction of city-level unmanned aerial vehicle (UAV) traffic management systems.","url":"https://doi.org/10.1038/s41598-025-32450-8","authors":["Zhu Y","Sun X","Hou T"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:56.523Z","doi":"10.1038/s41598-025-32450-8","updatedAt":"2026-08-31T06:40:09.763Z"},{"id":"doi:10.3389/fpubh.2025.1727647","name":"Multi-objective optimization model for dynamic airspace allocation of urban drones in medical emergency delivery.","source":"europepmc","abstract":"","url":"https://doi.org/10.3389/fpubh.2025.1727647","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","addedAt":"2026-08-06T22:48:56.523Z","doi":"10.3389/fpubh.2025.1727647","updatedAt":"2026-08-31T06:39:57.918Z"},{"id":"doi:10.64898/2026.03.02.708718","name":"A hidden biomass flow - 10,000 tons of insects fly over Switzerland","source":"europepmc","abstract":"","url":"https://doi.org/10.64898/2026.03.02.708718","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:56.523Z","doi":"10.64898/2026.03.02.708718","updatedAt":"2026-08-31T06:39:36.508Z"},{"id":"doi:10.21203/rs.3.rs-8863488/v1","name":"Cognitive MobileNetV2-Based Micro-Doppler Analysis for Small UAV Detection and Classification","source":"europepmc","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-8863488/v1","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:56.523Z","doi":"10.21203/rs.3.rs-8863488/v1","updatedAt":"2026-08-31T06:39:36.508Z"},{"id":"doi:10.1364/oe.576693","name":"Speckle suppression for UAV tracking using single-photon LiDAR with vibrating MMF and ST-DKDE.","source":"europepmc","abstract":"","url":"https://doi.org/10.1364/oe.576693","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:56.523Z","doi":"10.1364/oe.576693","updatedAt":"2026-08-31T06:39:36.508Z"},{"id":"doi:10.3390/s26082528","name":"Radar UAV/Bird Trajectory Feature Classification Based on TCN-Transformer and the PC-TimeGAN Data Augmentation Framework.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s26082528","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:56.523Z","doi":"10.3390/s26082528","updatedAt":"2026-08-31T06:39:36.508Z"},{"id":"doi:10.1038/s41598-025-11888-w","name":"Altitude aware trajectory prediction methods for non towered terminal airspace.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41598-025-11888-w","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","addedAt":"2026-08-06T22:48:56.523Z","doi":"10.1038/s41598-025-11888-w","updatedAt":"2026-08-31T06:39:36.508Z"},{"id":"doi:10.1038/s41598-026-37252-0","name":"Formation tracking control of multiple USVs using ADRC with prescribed performance.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41598-026-37252-0","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:56.523Z","doi":"10.1038/s41598-026-37252-0","updatedAt":"2026-08-31T06:39:36.508Z"},{"id":"doi:10.3389/fpsyg.2026.1759775","name":"From balance to perception: vestibular-cognitive integration predicts signal discrimination in a Multirule Visual Monitoring Task.","source":"europepmc","abstract":"","url":"https://doi.org/10.3389/fpsyg.2026.1759775","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:56.523Z","doi":"10.3389/fpsyg.2026.1759775","updatedAt":"2026-08-31T06:39:36.508Z"},{"id":"doi:10.3389/fpsyg.2025.1644721","name":"Eye-tracking metrics for estimating workload and characterizing errors in conflict detection and resolution during simulated en route air-traffic control.","source":"europepmc","abstract":"","url":"https://doi.org/10.3389/fpsyg.2025.1644721","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","addedAt":"2026-08-06T22:48:56.523Z","doi":"10.3389/fpsyg.2025.1644721","updatedAt":"2026-08-31T06:39:36.508Z"},{"id":"doi:10.3390/s26061778","name":"Acoustic Source Drone Detection System Using Tetrahedral Microphone Array and Deep Neural Networks.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s26061778","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:56.523Z","doi":"10.3390/s26061778","updatedAt":"2026-08-31T06:39:36.508Z"},{"id":"doi:10.20944/preprints202512.0206.v1","name":"Open-Set UAV Signal Identification Using Learnable Embeddings and Energy-Based Inference","source":"europepmc","abstract":"","url":"https://doi.org/10.20944/preprints202512.0206.v1","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","addedAt":"2026-08-06T22:48:56.523Z","doi":"10.20944/preprints202512.0206.v1","updatedAt":"2026-08-31T06:40:05.995Z"},{"id":"doi:10.1038/s41598-025-20044-3","name":"Landing control algorithm for gimbal-serviced UAVs based on field-of-view constraints.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41598-025-20044-3","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","addedAt":"2026-08-06T22:48:56.523Z","doi":"10.1038/s41598-025-20044-3","updatedAt":"2026-08-31T06:39:36.508Z"},{"id":"doi:10.1371/journal.pone.0336909","name":"A large-scale data set of aircraft interaction networks.","source":"europepmc","abstract":"","url":"https://doi.org/10.1371/journal.pone.0336909","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","addedAt":"2026-08-06T22:48:56.523Z","doi":"10.1371/journal.pone.0336909","updatedAt":"2026-08-31T06:39:36.508Z"},{"id":"doi:10.21203/rs.3.rs-7964150/v2","name":"Sensing the living airspace: city-wide bird flight patterns revealed by communication networks","source":"europepmc","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-7964150/v2","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","addedAt":"2026-08-06T22:48:56.523Z","doi":"10.21203/rs.3.rs-7964150/v2","updatedAt":"2026-08-31T06:39:36.508Z"},{"id":"doi:10.1038/s41598-025-13232-8","name":"Impact of rainy season on approach trajectories in high-altitude airport terminal maneuvering area: a clustering analysis.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41598-025-13232-8","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","addedAt":"2026-08-06T22:48:56.523Z","doi":"10.1038/s41598-025-13232-8","updatedAt":"2026-08-31T06:39:36.508Z"},{"id":"doi:10.20944/preprints202509.1486.v1","name":"A Conceptual Model for Eco-Friendly Low-Cost Counter-Drone Defence Using Biodegradable Sticky Microfibers","source":"europepmc","abstract":"","url":"https://doi.org/10.20944/preprints202509.1486.v1","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","addedAt":"2026-08-06T22:48:56.523Z","doi":"10.20944/preprints202509.1486.v1","updatedAt":"2026-08-31T06:40:08.031Z"},{"id":"doi:10.1371/journal.pone.0346901","name":"Performance analysis of UAV-assisted coverage for cell edge.","source":"europepmc","abstract":"","url":"https://doi.org/10.1371/journal.pone.0346901","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:56.523Z","doi":"10.1371/journal.pone.0346901","updatedAt":"2026-08-31T06:39:36.508Z"},{"id":"doi:10.3390/s26102960","name":"Perception-Aware Cooperative Path Planning for Multi-UAV Systems in Urban Wind Fields via Deep Reinforcement Learning.","source":"europepmc","abstract":"The safe deployment of multiple Unmanned Aerial Vehicles (UAVs) in complex urban environments relies heavily on accurate environmental perception and efficient cooperative path planning. However, executing multi-UAV operations in low-altitude airspaces faces severe challenges due to the dual constraints of complex building clusters and steady-state wind field disturbances. These dynamic environmental factors frequently distort sensory expectations, inducing trajectory drift and degrading policy robustness. To address these limitations, this paper proposes an enhanced Dueling Double Deep Q-Network (D3QN) algorithm, termed NPD3QN, tailored for perception-aware multi-UAV cooperative path planning. By formulating the perceived environmental data (e.g., wind speed, obstacle distances, and inter-UAV states) into a Markov Decision Process, an N -step update strategy is integrated to enhance the characterization of long-term returns. Simultaneously, an improved Prioritized Experience Replay (PER) mechanism is developed to actively filter negative experiences and assign dynamic weights to critical state-action samples, thereby significantly elevating training stability. A 3D urban kinematic environment incorporating a steady-state simulated wind field is constructed. Extensive ablation and comparative results demonstrate that NPD3QN effectively maps high-dimensional state perceptions to robust control commands. In wind-disturbed scenarios, it generates highly streamlined cooperative trajectories, reducing the total path length by approximately 11.7% compared to the standard D3QN baseline. While currently evaluated within steady-state simulated constraints, this study establishes a robust, sensor-driven methodological foundation for autonomous multi-UAV cooperative path planning in wind-disturbed airspaces.","url":"https://doi.org/10.3390/s26102960","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:56.523Z","doi":"10.3390/s26102960","updatedAt":"2026-08-31T06:39:36.508Z"},{"id":"doi:10.3390/s26020634","name":"Security of ADS-B and Remote ID Systems: Cyberattacks, Detection Techniques, and Countermeasures.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s26020634","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:56.523Z","doi":"10.3390/s26020634","updatedAt":"2026-08-31T06:39:36.508Z"},{"id":"doi:10.3390/s25175510","name":"Data-Fusion-Based Algorithm for Assessing Threat Levels of Low-Altitude and Slow-Speed Small Targets.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s25175510","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","addedAt":"2026-08-06T22:48:56.523Z","doi":"10.3390/s25175510","updatedAt":"2026-08-31T06:39:36.508Z"},{"id":"doi:10.1002/ecy.70247","name":"Structuring the skies: Diel dynamics of migratory animal movement in the lower atmosphere.","source":"europepmc","abstract":"","url":"https://doi.org/10.1002/ecy.70247","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","addedAt":"2026-08-06T22:48:56.523Z","doi":"10.1002/ecy.70247","updatedAt":"2026-08-31T06:39:36.508Z"},{"id":"doi:10.1038/s41598-026-45894-3","name":"Smart flying in challenging skies: How Red Kites adjust wind turbine micro- and meso-avoidance across weather and experience.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41598-026-45894-3","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:56.523Z","doi":"10.1038/s41598-026-45894-3","updatedAt":"2026-08-31T06:39:36.508Z"},{"id":"doi:10.3390/s26113424","name":"SPAE-YOLOv8 for Onboard Real-Time Perception: Lightweight Small UAV Detection from Air-to-Air Perspectives.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s26113424","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:56.523Z","doi":"10.3390/s26113424","updatedAt":"2026-08-31T06:39:36.508Z"},{"id":"doi:10.3390/jimaging12030140","name":"Real-Time Small UAV Detection in Complex Airspace Using YOLOv11 with Residual Attention and High-Resolution Feature Enhancement.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/jimaging12030140","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:56.523Z","doi":"10.3390/jimaging12030140","updatedAt":"2026-08-31T06:40:00.188Z"},{"id":"doi:10.1038/s41598-025-26339-9","name":"Integrating GAN-based machine learning with nonlinear Kalman filtering for enhanced state estimation.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41598-025-26339-9","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","addedAt":"2026-08-06T22:48:56.523Z","doi":"10.1038/s41598-025-26339-9","updatedAt":"2026-08-31T06:39:36.508Z"},{"id":"doi:10.1038/s41598-025-96255-5","name":"Acoustic monitoring with miniature drones shows reduced Myotis bat occurrence with altitude and drone movement.","source":"pubmed","abstract":"Our understanding of aeroecology is hampered by the challenge of sampling the air column, especially for nocturnal species like bats that forage high in the airspace. Nonetheless, monitoring endangered bat populations is vital for conservation efforts. Drones (unoccupied aerial vehicles) offer a relatively safe, cost-effective, and non-intrusive option for studying aerial wildlife. Here, we present a method for measuring bat distribution in the airspace using miniature drones (Mavic Mini 3 Pro) that are small enough to have negligible impacts on the bats themselves. We investigate how habitat, drone altitude, and drone movement influence bat sampling efficiency. A hovering drone detected more bats per minute than a moving drone for the EPNO complex (Eptesicus fuscus and Lasionycteris noctivagans) and all bats. Thus, we recommend the use of hovering point counts for surveying bats via drone. The Myotis complex (M. septentrionalis, M. lucifugus, and M. leibii) was more frequently present at lower altitudes over the sampled range (0-60&#xa0;m). We conclude that bat taxa differentially occupy sectors of the air column, and that bat density in the airspace can be efficiently monitored by miniature drones.","url":"https://doi.org/10.1038/s41598-025-96255-5","authors":["Dobie L","Bird DM","Elliott KH"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025","addedAt":"2026-08-06T22:48:56.523Z","doi":"10.1038/s41598-025-96255-5","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"doi:10.3390/ijms27083434","name":"Lung Vascular Remodeling and Oxidative Damage Induced by Chronic Intermittent Hypoxia.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/ijms27083434","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:56.523Z","doi":"10.3390/ijms27083434","updatedAt":"2026-08-31T06:39:36.508Z"},{"id":"doi:10.1080/20523211.2025.2519137","name":"The evolution of medication delivery via drones: revolutionizing healthcare logistics.","source":"europepmc","abstract":"","url":"https://doi.org/10.1080/20523211.2025.2519137","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","addedAt":"2026-08-06T22:48:56.523Z","doi":"10.1080/20523211.2025.2519137","updatedAt":"2026-08-31T06:39:36.508Z"},{"id":"doi:10.3389/fnbot.2025.1625074","name":"4D trajectory prediction for inbound flights.","source":"europepmc","abstract":"","url":"https://doi.org/10.3389/fnbot.2025.1625074","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","addedAt":"2026-08-06T22:48:56.523Z","doi":"10.3389/fnbot.2025.1625074","updatedAt":"2026-08-31T06:39:36.509Z"},{"id":"doi:10.1016/j.mex.2025.103250","name":"A new method and information system based on artificial intelligence for black flight identification.","source":"europepmc","abstract":"","url":"https://doi.org/10.1016/j.mex.2025.103250","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","addedAt":"2026-08-06T22:48:56.523Z","doi":"10.1016/j.mex.2025.103250","updatedAt":"2026-08-31T06:39:36.509Z"},{"id":"doi:10.1038/s41598-025-25142-w","name":"Application of text mining and causal analysis for risk identification in air traffic control safety operations.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41598-025-25142-w","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","addedAt":"2026-08-06T22:48:56.523Z","doi":"10.1038/s41598-025-25142-w","updatedAt":"2026-08-31T06:39:36.509Z"},{"id":"doi:10.1002/ece3.73643","name":"Wildlife Responses to Drone Noise: A Preliminary Approach for Quantifying Disturbance During Single- and Dual-Drone Flights.","source":"europepmc","abstract":"","url":"https://doi.org/10.1002/ece3.73643","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:56.523Z","doi":"10.1002/ece3.73643","updatedAt":"2026-08-31T06:39:36.509Z"},{"id":"doi:10.3389/fpubh.2025.1739160","name":"Unmanned aerial vehicles in prehospital emergency care: current evidence, technological advances, and future perspectives.","source":"pubmed","abstract":"Timely prehospital intervention is essential for improving patient outcomes, yet conventional ambulance-based systems often face delays in remote, congested, or disaster-affected settings. Unmanned aerial vehicles (UAVs) offer a novel, traffic-independent solution with high operational flexibility and rapid deployment capacity. This review aims to summarize current evidence, technological progress, and future challenges of UAVs applications in prehospital emergency care.","url":"https://doi.org/10.3389/fpubh.2025.1739160","authors":["Zhang Y","Cao J","Ye S"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025","addedAt":"2026-08-06T22:48:56.523Z","doi":"10.3389/fpubh.2025.1739160","updatedAt":"2026-08-31T06:40:02.907Z"},{"id":"doi:10.1038/s41467-025-67399-9","name":"Multi-horizon flight trajectory prediction enabled by time-frequency wavelet transform.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41467-025-67399-9","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","addedAt":"2026-08-06T22:48:56.523Z","doi":"10.1038/s41467-025-67399-9","updatedAt":"2026-08-31T06:39:36.509Z"},{"id":"doi:10.3390/s25227003","name":"Near-Field Target Detection with Range-Angle-Coupled Matching Based on Distributed MIMO Radar.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s25227003","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","addedAt":"2026-08-06T22:48:56.523Z","doi":"10.3390/s25227003","updatedAt":"2026-08-31T06:39:36.509Z"},{"id":"doi:10.1038/s41392-025-02531-1","name":"Altitude hypoxia and hypoxemia: pathogenesis and management.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41392-025-02531-1","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:56.523Z","doi":"10.1038/s41392-025-02531-1","updatedAt":"2026-08-31T06:39:36.509Z"},{"id":"doi:10.1097/tp.0000000000005527","name":"Beyond Feasibility: Critical Steps Toward Drone-based Organ Transport.","source":"europepmc","abstract":"","url":"https://doi.org/10.1097/tp.0000000000005527","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:56.523Z","doi":"10.1097/tp.0000000000005527","updatedAt":"2026-08-31T06:39:36.509Z"},{"id":"doi:10.1097/ms9.0000000000004976","name":"High-altitude pulmonary edema: a case series of four patients from Nepal.","source":"europepmc","abstract":"","url":"https://doi.org/10.1097/ms9.0000000000004976","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:56.523Z","doi":"10.1097/ms9.0000000000004976","updatedAt":"2026-08-31T06:39:36.509Z"},{"id":"doi:10.3390/s25113543","name":"Digital Twin Network-Based 6G Self-Evolution.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s25113543","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","addedAt":"2026-08-06T22:48:56.523Z","doi":"10.3390/s25113543","updatedAt":"2026-08-31T06:39:36.509Z"},{"id":"doi:10.3390/s26061842","name":"A Psychoacoustic Feature Extraction and Spatio-Temporal Analysis Framework for Continuous Aircraft Noise Monitoring.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s26061842","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:56.523Z","doi":"10.3390/s26061842","updatedAt":"2026-08-31T06:39:36.509Z"},{"id":"doi:10.1038/s41597-025-04775-6","name":"Image, speech, and ADS-B trajectory datasets for terminal airspace operations.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41597-025-04775-6","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","addedAt":"2026-08-06T22:48:56.523Z","doi":"10.1038/s41597-025-04775-6","updatedAt":"2026-08-31T06:39:36.509Z"},{"id":"doi:10.3389/fdata.2025.1683027","name":"Privacy protection method for ADS-B air traffic control data based on convolutional neural network and symmetric encryption.","source":"europepmc","abstract":"","url":"https://doi.org/10.3389/fdata.2025.1683027","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","addedAt":"2026-08-06T22:48:56.523Z","doi":"10.3389/fdata.2025.1683027","updatedAt":"2026-08-31T06:39:36.509Z"},{"id":"doi:10.1038/s41598-024-62421-4","name":"Robust digital-twin airspace discretization and trajectory optimization for autonomous unmanned aerial vehicles.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41598-024-62421-4","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2024","addedAt":"2026-08-06T22:48:56.523Z","doi":"10.1038/s41598-024-62421-4","updatedAt":"2026-08-31T06:40:09.764Z"},{"id":"doi:10.1038/s41598-025-00463-y","name":"Autonomous air combat decision making via graph neural networks and reinforcement learning.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41598-025-00463-y","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","addedAt":"2026-08-06T22:48:56.523Z","doi":"10.1038/s41598-025-00463-y","updatedAt":"2026-08-31T06:39:36.509Z"},{"id":"doi:10.3390/s26030909","name":"Theoretical Modeling and Experimental Study on Low-Altitude Slow-Small Target (LSS) Detection Based on Broadband Spectral Modulation Imaging.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s26030909","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:56.523Z","doi":"10.3390/s26030909","updatedAt":"2026-08-31T06:39:36.509Z"},{"id":"doi:10.1016/j.dib.2025.112086","name":"Air-to-ground channel dataset via UAV-aided measurements in multiple scenarios.","source":"pubmed","abstract":"Low-altitude communication networks are emerging to facilitate reliable connectivity for aerial platforms, where a deep understanding of the radio propagation channel is fundamental for the design and optimization of the communication systems. In this study, a self-developed air-to-ground (A2G) channel sounder is employed to conduct field measurements under three typical communication scenarios, i.e., sports field, farmland, and over-water. In each scenario, channel measurement data are collected at different flight heights of the unmanned aerial vehicle (UAV), i.e., 10 m and 15 m. A dataset of measured channel impulse responses (CIRs) is constructed accordingly. Under each scenario, hundreds of CIR snapshots are recorded, where each CIR snapshot has a size of 1 &#xd7; 200. Each CIR snapshot is also labeled with corresponding global positioning system (GPS) locations and time, where time represents the seconds elapsed since the start of the measurement. All data are stored in .xls format. Unlike most existing A2G channel measurement datasets that are limited to a single scenario or UAV altitude, our dataset simultaneously encompasses diverse scenarios and multiple flight heights at 3.6 GHz, which enhances its value for reproducibility and broad applicability in future channel modeling and system-level evaluations. The dataset is validated through on-site monitoring and repeated measurements when anomalies were detected, and its practical utility is demonstrated through the analysis of power delay profiles and path loss. This dataset provides a realistic representation of height-dependent A2G channel characteristics in diverse environments and reveals both the propagation delay and attenuation of multipath components, offering direct insights into the fundamental behavior of A2G propagation. The dataset also offers valuable references for system design and optimization of the A2G link of the low-altitude communication.","url":"https://doi.org/10.1016/j.dib.2025.112086","authors":["Li H","Mao K","Chen X","Xu H","Zhang S","Hua B","Zhu Q"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025","addedAt":"2026-08-06T22:48:56.523Z","doi":"10.1016/j.dib.2025.112086","updatedAt":"2026-08-31T06:40:02.532Z"},{"id":"doi:10.7717/peerj-cs.2886","name":"Automatic dependent surveillance-broadcast (ADS-B) anomalous messages and attack type detection: deep learning-based architecture.","source":"europepmc","abstract":"","url":"https://doi.org/10.7717/peerj-cs.2886","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","addedAt":"2026-08-06T22:48:56.523Z","doi":"10.7717/peerj-cs.2886","updatedAt":"2026-08-31T06:39:36.509Z"},{"id":"doi:10.2196/50355","name":"5G Key Technologies for Helicopter Aviation Medical Rescue.","source":"europepmc","abstract":"","url":"https://doi.org/10.2196/50355","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2024","addedAt":"2026-08-06T22:48:56.523Z","doi":"10.2196/50355","updatedAt":"2026-08-31T06:39:36.509Z"},{"id":"doi:10.3390/s25196091","name":"Intelligent Counter-UAV Threat Detection Using Hierarchical Fuzzy Decision-Making and Sensor Fusion.","source":"pubmed","abstract":"This paper proposes an intelligent hierarchical fuzzy decision-making framework for threat detection and identification in Counter-Unmanned Aerial Vehicle (Counter-UAV) systems, based on the fusion of heterogeneous sensor data. To address the increasing complexity and ambiguity in modern UAV threats, this study introduces a novel three-stage fuzzy inference architecture that supports adaptive sensor evaluation and optimal pairing. The proposed methodology consists of three-layered Fuzzy Inference Systems (FIS): FIS-A quantifies sensor effectiveness based on UAV flight altitude and detection probability; FIS-B assesses operational suitability using sensor range and cost; and FIS-C synthesizes both outputs, along with sensor capability overlap, to determine the composite suitability of sensor pairs. This hierarchical structure enables detailed analysis and system-level optimization, reflecting real-world constraints and performance trade-offs. Simulation-based evaluation using diverse sensor modalities (EO/IR, Radar, Acoustic, RF), supported by empirical data and literature, demonstrates the framework's ability to handle uncertainty, enhance detection reliability, and support cost-effective sensor deployment in Counter-UAV operations. The framework's modularity, scalability, and interpretability represent significant advancements in intelligent Counter-UAV system design, offering a transferable methodology for dynamic threat environments.","url":"https://doi.org/10.3390/s25196091","authors":["Arapoglou F","Zacharia P","Papoutsidakis M"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025","addedAt":"2026-08-06T22:48:56.523Z","doi":"10.3390/s25196091","updatedAt":"2026-08-31T06:40:02.532Z"},{"id":"doi:10.1038/s41598-025-09753-x","name":"Integrated method for multi-UAV task assignment and trajectory planning with deadlock based on Three-dimensional dubins path.","source":"pubmed","abstract":"By discretizing the UAV's heading angle in a three-dimensional Dubins model, the path planning problem and the task assignment problem are established as a discrete graph model, aiming to solve the problem that decoupling solutions can only obtain local optimal solutions for multi-heterogeneous UAV task assignment and track planning. A genetic algorithm strategy based on parallel processing is established to realise the fast solution of the mixed integer programming problem; a depth-first algorithm is introduced to determine the feasibility of task planning by detecting the loop state of the timing constraint graph to eliminate the deadlock problem in execution. The simulation findings demonstrate that the integrated solution technique, taking into account the coupled task planning results, yields much more optimal planning results compared to the decoupling method's task planning outcomes. The distributed genetic algorithm has clear advantages over the traditional centralised genetic algorithm in terms of solution efficiency.","url":"https://doi.org/10.1038/s41598-025-09753-x","authors":["Wu W","Zhang L","Le J","Lu Z"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025","addedAt":"2026-08-06T22:48:56.523Z","doi":"10.1038/s41598-025-09753-x","updatedAt":"2026-08-31T06:40:09.764Z"},{"id":"doi:10.1038/s41598-026-40649-6","name":"Plant spraying quality when used by drone-robots.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41598-026-40649-6","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:56.523Z","doi":"10.1038/s41598-026-40649-6","updatedAt":"2026-08-31T06:40:05.993Z"},{"id":"doi:10.3390/s26113444","name":"ASCA-YOLO: Adaptive Sparse and Context-Aware YOLO Algorithm for Forest Wildfire Detection.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s26113444","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","addedAt":"2026-08-06T22:48:56.523Z","doi":"10.3390/s26113444","updatedAt":"2026-08-31T06:40:00.189Z"},{"id":"doi:10.3390/e27040421","name":"Research on Optimal Convergence Design of Low Intercept Point-Like Beam for FDA-MIMO Radio Detector Based on Beam Entropy.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/e27040421","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","addedAt":"2026-08-06T22:48:56.523Z","doi":"10.3390/e27040421","updatedAt":"2026-08-31T06:39:36.509Z"},{"id":"doi:10.3390/s25175471","name":"Frequency-Agility-Based Neural Network with Variable-Length Processing for Deceptive Jamming Discrimination.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s25175471","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","addedAt":"2026-08-06T22:48:56.523Z","doi":"10.3390/s25175471","updatedAt":"2026-08-31T06:39:36.509Z"},{"id":"doi:10.1038/s41598-025-24752-8","name":"An improved roosters algorithm for constrained 3D UAV path planning in urban environments.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41598-025-24752-8","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","addedAt":"2026-08-06T22:48:56.523Z","doi":"10.1038/s41598-025-24752-8","updatedAt":"2026-08-31T06:40:08.031Z"},{"id":"doi:10.3390/s25206285","name":"A Circular Fitting Clutter Suppression Algorithm Based on ISAC for Low Altitude UAVs.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s25206285","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","addedAt":"2026-08-06T22:48:56.523Z","doi":"10.3390/s25206285","updatedAt":"2026-08-31T06:39:36.509Z"},{"id":"doi:10.1038/s41598-025-05261-0","name":"A quantum-enhanced heuristic algorithm for optimizing aircraft landing problems in low-altitude intelligent transportation systems.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41598-025-05261-0","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","addedAt":"2026-08-06T22:48:56.523Z","doi":"10.1038/s41598-025-05261-0","updatedAt":"2026-08-31T06:39:36.509Z"},{"id":"pmid:42545898","name":"A Standardized Protocol for Medical Specimen Delivery by Uncrewed Aerial Vehicles in Multi-Campus Hospitals.","source":"pubmed","abstract":"Efficient transportation of medical specimens across multi-campus hospital networks is frequently hindered by urban traffic congestion and traditional vehicle delays. This protocol outlines a comprehensive methodology for establishing an unmanned aerial vehicle (UAV)-based medical logistics system to achieve rapid, safe, and cost-effective specimen delivery. The procedure details the end-to-end implementation framework, beginning with quantitative demand assessment and strategic partnership modeling. Subsequent critical steps include flight route planning, regulatory airspace approval, UAV model selection, base station construction, and standardized personnel training. Furthermore, the protocol covers essential trial operations and the establishment of robust emergency response mechanisms prior to formal deployment. Application of this protocol at a tertiary hospital successfully established a three-campus UAV network. Representative results demonstrate that this method reduced average transport time by nearly two-thirds and decreased operational costs by 62%, while maintaining a 100% specimen integrity rate. By providing a multidimensional analysis of technical, operational, and managerial procedures, this standardized framework enables other healthcare institutions to seamlessly replicate and scale low-altitude smart medical logistics networks in complex urban environments.","url":"https://pubmed.ncbi.nlm.nih.gov/42545898/","authors":["Dai X","Zeng X","Zou Y","Qiu T"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2026 Jul 17","addedAt":"2026-08-06T22:48:56.523Z"},{"id":"pmid:42515240","name":"EA-AHS: A Perception-Driven Adaptive Heuristic Framework for Real-Time UAV Path Planning in Complex Urban Environments.","source":"pubmed","abstract":"With the progressive opening of urban low-altitude airspace, drone applications increasingly rely on real-time environmental perception for safe navigation in complex, obstacle-dense environments. Traditional planning algorithms struggle to efficiently process spatially heterogeneous sensor data, leading to computational bottlenecks and unsafe trajectories. To bridge raw perception and agile decision-making, we propose an Environment-Aware Adaptive Heuristic Search (EA-AHS) framework that translates local obstacle density into adaptive heuristic weights via a sliding window, while a historical feedback loop enables macro-level parameter adaptation. Experiments demonstrate that EA-AHS reduces planning time by 87.9% in a simple maze and by 81.0% in a complex point-block map compared to standard A*. In a 3D urban scenario, EA-AHS trades a modest computational overhead for substantial safety gains: its cumulative risk is only 48% of that of standard A* and 57% of that of weighted A*, and its minimum obstacle distance increases to 6.04 m. Unlike learning-based methods, EA-AHS requires no pre-training or neural inference, offering a highly practical, lightweight solution for resource-constrained onboard sensor systems.","url":"https://pubmed.ncbi.nlm.nih.gov/42515240/","authors":["Song R","Zhang H","Zeng X","Rui X"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2026 Jul 9","addedAt":"2026-08-06T22:48:56.523Z"},{"id":"pmid:42374086","name":"Dynamic low-altitude airspace partitioning and management strategy optimization based on graph neural networks and spatial cognitive constraints.","source":"pubmed","abstract":"The rapid expansion of urban air mobility operations demands adaptive airspace management approaches that transcend traditional static sectorization. This paper proposes an integrated framework for dynamic low-altitude airspace partitioning and management strategy optimization by fusing graph neural networks with spatial cognitive science. Urban low-altitude airspace is modeled as an attributed weighted directed graph encoding spatial adjacency, traffic flow coupling, and environmental constraints. A spatial cognitive constraint system is developed, quantifying boundary discriminability, shape complexity, and hierarchical cognitive load as differentiable optimization terms. A cognition-enhanced graph attention network architecture with spatiotemporal feature aggregation is designed to generate end-to-end partition assignments, with an explicit cognitive attention modulation mechanism that steers message-passing toward perceptually coherent neighborhoods. A reinforcement learning module, formalized as a Markov decision process with clearly defined state, action, and reward spaces, fine-tunes the partition and management strategy outputs through proximal policy optimization. The joint training scheme co-optimizes sector boundaries with capacity allocation, priority sequencing, and conflict alert policies through multi-task learning with curriculum scheduling. Experimental results on both synthetic simulation data and real-world ADS-B trajectory data from the OpenSky Network demonstrate that the proposed method achieves an airspace utilization rate of 81.2&#x2009;&#xb1;&#x2009;1.4% and reduces the flight conflict rate to 3.1&#x2009;&#xb1;&#x2009;0.5 per 100 flight-hours, representing a 46.6% improvement over vanilla graph attention baselines and outperforming advanced spatiotemporal GNN baselines including STGCN and DCRNN. Statistical significance is confirmed via Wilcoxon signed-rank tests (p&#x2009;&lt;&#x2009;0.01). A small-scale human-in-the-loop study with eight certified air traffic management researchers points to a roughly 37% reduction in operator decision response time, a signal we read as preliminary rather than conclusive given the modest sample. Scalability tests indicate that model inference alone stays feasible up to 10,000-node airspace graphs within the reconfiguration window, though we are careful to note that the complete operational pipeline has not yet been integrated end-to-end.","url":"https://pubmed.ncbi.nlm.nih.gov/42374086/","authors":["Zhang P","Liu W","Xu X"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2026 Jun 29","addedAt":"2026-08-06T22:48:56.523Z"},{"id":"pmid:42197773","name":"Perception-Aware Cooperative Path Planning for Multi-UAV Systems in Urban Wind Fields via Deep Reinforcement Learning.","source":"pubmed","abstract":"The safe deployment of multiple Unmanned Aerial Vehicles (UAVs) in complex urban environments relies heavily on accurate environmental perception and efficient cooperative path planning. However, executing multi-UAV operations in low-altitude airspaces faces severe challenges due to the dual constraints of complex building clusters and steady-state wind field disturbances. These dynamic environmental factors frequently distort sensory expectations, inducing trajectory drift and degrading policy robustness. To address these limitations, this paper proposes an enhanced Dueling Double Deep Q-Network (D3QN) algorithm, termed NPD3QN, tailored for perception-aware multi-UAV cooperative path planning. By formulating the perceived environmental data (e.g., wind speed, obstacle distances, and inter-UAV states) into a Markov Decision Process, an N -step update strategy is integrated to enhance the characterization of long-term returns. Simultaneously, an improved Prioritized Experience Replay (PER) mechanism is developed to actively filter negative experiences and assign dynamic weights to critical state-action samples, thereby significantly elevating training stability. A 3D urban kinematic environment incorporating a steady-state simulated wind field is constructed. Extensive ablation and comparative results demonstrate that NPD3QN effectively maps high-dimensional state perceptions to robust control commands. In wind-disturbed scenarios, it generates highly streamlined cooperative trajectories, reducing the total path length by approximately 11.7% compared to the standard D3QN baseline. While currently evaluated within steady-state simulated constraints, this study establishes a robust, sensor-driven methodological foundation for autonomous multi-UAV cooperative path planning in wind-disturbed airspaces.","url":"https://pubmed.ncbi.nlm.nih.gov/42197773/","authors":["Ding J","Wang L","Jin S","Wang D"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2026 May 8","addedAt":"2026-08-06T22:48:56.523Z"},{"id":"pmid:42168283","name":"A digital twin-driven computation and analysis framework for low-altitude airspace.","source":"pubmed","abstract":"This study aims to address critical challenges in low-altitude airspace management, including high dynamic complexity, substantial safety hazards, and information fragmentation, and proposes a digital twin-enabled computation and analysis framework. The proposed framework adopts a four-layer digital twin architecture, enabling high-fidelity spatial mapping through multi-source heterogeneous data fusion, unified spatiotemporal representation, dynamic evolution modeling, and bidirectional physical-virtual closed-loop interaction. The proposed framework also incorporates intelligent components: a bidirectional GRU-Seq2Seq trajectory prediction model and a Kalman filter-based error compensation mechanism, supporting quantitative resource assessment, real-time trajectory analysis, and conflict warning. The proposed framework is verified experimentally in three operational scenarios: conventional single-target flight, multi-target cooperative flight, and extreme weather interference. Experimental results demonstrate that the proposed method has an average trajectory prediction error of 1.52&#xa0;m under standard conditions, achieving a reduction of 47.9% compared to the Transformer baseline (2.36&#xa0;m), 38.7% compared to ST-GCN (2.48&#xa0;m), and 42.2% compared to the traditional geometric twin (2.63&#xa0;m). Furthermore, the proposed method consistently maintains a low error across varying prediction horizons (5-15&#xa0;s), with a maximum error of only 3.9&#xa0;m at 15&#xa0;s, significantly outperforming Transformer (4.3&#xa0;m), ST-GCN (4.6&#xa0;m), and the traditional geometric twin (6.3&#xa0;m) models. In challenging scenarios involving GPS denial and communication interruption, the proposed method maintains superior robustness, with an average error of 2.15 and 2.38&#xa0;m, respectively, which are markedly lower than those of competing methods. The results confirm that the proposed method outperforms both traditional geometric twin and deep learning-based approaches in key performance metrics, including position accuracy, prediction stability, and robustness, which validates its efficacy and practical suitability for low-altitude airspace management tasks.","url":"https://pubmed.ncbi.nlm.nih.gov/42168283/","authors":["He Z","Zhang W","Du P","Liu Z"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2026 May 21","addedAt":"2026-08-06T22:48:56.523Z"},{"id":"pmid:42009712","name":"Urban low-altitude UAV path planning by fusing an enhanced A* algorithm with an adaptive artificial potential field method.","source":"pubmed","abstract":"To address the challenges posed by dense obstacles, complex dynamic avoidance, and poor path continuity in trajectory planning for multi-rotor UAVs operating in intricate urban low-altitude environments, this paper presents a multi-phase trajectory planning method (A*-APF) that integrates an enhanced A* algorithm with an adaptive artificial potential field (APF). The proposed approach supports the UAV's entire mission profile, including take-off, cruising, and landing. By constructing a 3D voxelized urban airspace model and introducing a phased advancement mechanism to establish sub-goals, together with strategies such as a dual-radius safety and obstacle avoidance model, dynamic step size adjustment, and 3D kinematic constraints, the heuristic function is optimized to enhance both path feasibility and safety. Furthermore, the method employs an improved APF combined force to guide heading direction and enables local obstacle avoidance corrections through the coupling of attractive and repulsive forces. The final path is globally and locally smoothed using cubic/quartic B-spline algorithms, ensuring continuous curvature and dynamic controllability. Validated through comprehensive comparative analyses and ablation studies, the simulation results quantitatively confirm that, compared with existing state-of-the-art improved algorithms, the proposed A*-APF method reduces average computation time by over 36% and path length by over 18%. Furthermore, the ablation experiments substantiate that the synergistic integration of the multi-phase mechanism and adaptive APF is critical for ensuring a 100% obstacle avoidance success rate and effectively responding to emergent threats.","url":"https://pubmed.ncbi.nlm.nih.gov/42009712/","authors":["Gao W","Li L","Pang D"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2026 Apr 20","addedAt":"2026-08-06T22:48:56.523Z"},{"id":"pmid:41977844","name":"An Enhanced Event-Based Model for Integrated Flight Safety of Fixed-Wing UAVs.","source":"pubmed","abstract":"To address the issues of safety risk analysis and conflict assessment for integrated flight of manned aircraft and fixed-wing unmanned aerial vehicles (UAVs) in low-altitude mixed-operation airspace, this study enhances the foundational Event model. By incorporating UAV characteristics such as geometric features and aerodynamic mechanisms, alongside design dimensions and onboard performance metrics, an improved collision risk model is developed-the Enhanced Event-Based Framework for Multidimensional Geometry and Quasi-Monte Carlo Analysis of Flight Performance (EMGF-M). This enhancement rectifies the limitations of the basic model regarding parameter coverage and scenario adaptability, thereby improving the reliability and validity of the computational results. Experimental results demonstrate that, in accordance with the target safety level for airspace conflicts set by the International Civil Aviation Organization (ICAO), the application of the improved Event collision model yields quantifiable assessments of safety risks and safe separation distances for integrated operations in low-altitude mixed-use airspace. Utilizing these computational results for integrated flight procedure design at a general airport in Southwest China, the study shows that the air traffic flow in the low-altitude mixed-operation airspace increased from 9.2 to 20.9 operations per hour. The practical significance of this method lies in its guidance for accurately assessing safety risks in mixed airspace operations and for determining quantifiable separation minima for integrated flight trajectory planning.","url":"https://pubmed.ncbi.nlm.nih.gov/41977844/","authors":["Ma X","Lu X","Li H","Lu X","Li J","Zhao J"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2026 Mar 25","addedAt":"2026-08-06T22:48:56.523Z"},{"id":"pmid:41845628","name":"Speckle suppression for UAV tracking using single-photon LiDAR with vibrating MMF and ST-DKDE.","source":"pubmed","abstract":"The widespread deployment of low-altitude, slow-speed, and small-sized (LSS) UAVs poses significant challenges to airspace security monitoring, where achieving both high-precision detection and long-range coverage remains difficult. Gm-APD-based single-photon LiDAR systems greatly enhance detection sensitivity and range, but the use of multimode fiber (MMF) introduces strong speckle noise, resulting in non-uniform echo distributions, model mismatch, and potential tracking failure. To address this issue, we propose a transmitter-side fiber vibration strategy to physically suppress speckle fluctuations. Building on this, we develop a spatio-temporal joint dynamic kernel density estimation (ST-DKDE) reconstruction algorithm, enabling robust photon-intensity recovery. This enables robust intensity recovery, which in turn supports high-precision tracking of aerial targets using an improved MeanShift-Kalman algorithm. Monte Carlo simulation verification shows that the algorithm can reduce the average speckle contrast from 1.1999 to 0.1039 (a decrease of over 90%). The proposed algorithm was validated through field experiments using a Gm-APD single-photon LiDAR system for UAV detection and tracking. In the first scenario, a UAV flying around the LiDAR's FoV at approximately 200 m under overcast conditions (visibility 4 km, ambient illumination 8,979 lux) showed an 83% reduction in speckle contrast, an average tracking accuracy of 0.89 cm, maximum error below 4.2 cm, and a 61.9% decrease in mean squared tracking error. In the second scenario, involving dynamic UAV flight from 300 m to 100 m with rapid turns and close-range approaches under clear conditions (visibility 10 km, illumination 55,120 lux), the proposed method achieved up to 82.6% reduction in mean tracking error and 88.0% reduction in RMSE compared to traditional peak-based methods, maintaining tracking errors consistently below 3 pixels. These results demonstrate that effective speckle suppression combined with spatio-temporal modeling enhances inter-frame matching and tracking stability, providing a robust solution for dynamic LSS UAV monitoring in complex airspace environments. This work establishes a solid foundation for high-precision, long-range LiDAR-based aerial surveillance.","url":"https://pubmed.ncbi.nlm.nih.gov/41845628/","authors":["Guo D","Sun J","Zhou X","Yin S","Li S","Qu Y"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2026 Feb 23","addedAt":"2026-08-06T22:48:56.523Z"},{"id":"pmid:41803169","name":"Method for classification of UAV flight control RF signals based on multi-scale divergence entropy and optimized neural networks.","source":"pubmed","abstract":"To address the critical challenge of insufficient classification accuracy for UAV flight control radio frequency (RF) signals in complex electromagnetic environments, this study proposes a novel classification framework combining Multiscale Dispersion Entropy (MDE) feature fusion with an Artificial Lemming Algorithm (ALA)-optimized BP neural network. The proposed method first employs MDE to extract robust multiscale dynamic features from RF signals, constructing a discriminative 12-dimensional feature matrix, then utilizes the biologically inspired ALA to globally optimize the BP network&#x2019;s weights, biases, and hidden layer architecture through its unique migration-burrowing-foraging-predator avoidance mechanisms that dynamically balance exploration and exploitation. Extensive experiments on the DroneRFa dataset containing six mainstream UAV models demonstrate the framework&#x2019;s superior performance, achieving 97.2% classification accuracy (a 4.7-7.1% improvement over conventional GA-BP and PSO-BP methods), remarkable noise robustness (maintaining 90% accuracy at SNR=0 dB), and accelerated convergence (reaching 90% accuracy in just 65 iterations), with further validation from ROC analysis showing an exceptional AUC of 0.97. These results collectively confirm that the MDE-ALA-BP approach effectively overcomes the limitations of existing methods in complex electromagnetic scenarios, providing a reliable and efficient technical solution for enhanced airspace security monitoring and low-altitude traffic management systems.","url":"https://pubmed.ncbi.nlm.nih.gov/41803169/","authors":["Liu B","Liu J","Shi M","Zhao L"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2026 Mar 9","addedAt":"2026-08-06T22:48:56.523Z"},{"id":"pmid:41764277","name":"Formation tracking control of multiple USVs using ADRC with prescribed performance.","source":"pubmed","abstract":"This paper investigates the formation tracking control problem for multiple unmanned surface vehicles (USVs) under prescribed performance constraints in the presence of model uncertainties and unknown disturbances. A decentralized formation control strategy is developed based on a modified active disturbance rejection control (ADRC) framework, where a model-compensation extended state observer (ESO) is designed to estimate the total disturbance and enhance robustness. To avoid the \"explosion of complexity\", a tracking differentiator (TD) is employed to approximate virtual control derivatives, while a universal barrier function (UBF) is incorporated into the Lyapunov-based synthesis to guarantee both transient and steady-state performance bounds. Rigorous Lyapunov analysis proves that all closed-loop signals remain uniformly ultimately bounded, prescribed performance constraints are strictly satisfied, and inter-agent collision avoidance and communication connectivity are maintained. Comprehensive simulations further demonstrate significant performance advantages over representative baseline methods. In particular, the proposed controller achieves a 57.4% reduction in IAE and a 42.6% reduction in RMSE compared with a PID controller, and a further 49.4% and 36.7% reduction relative to a backstepping controller. These quantitative results confirm the superior accuracy and robustness of the proposed approach.","url":"https://pubmed.ncbi.nlm.nih.gov/41764277/","authors":["Huo M","Mao W","Wang X"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2026 Feb 28","addedAt":"2026-08-06T22:48:56.523Z"},{"id":"pmid:41755209","name":"Probabilistic Bird Trajectory Forecasting with Heavy-Tailed Uncertainty Modeling for Low-Altitude Airspace Monitoring.","source":"pubmed","abstract":"The low-altitude airspace of bird flocks is gradually shared by unmanned aerial vehicles (UAVs), posing safety risks that necessitate accurate trajectory forecasting. However, existing vision-based methods often treat trajectory prediction and UAV detection as separate tasks, assume light-tailed Gaussian noise, and rely on heavy backbones. These limitations, when applied to bird trajectory forecasting, limit uncertainty calibration and embedded deployment in ground-based monocular surveillance. In this work, we propose a unified framework for low-altitude monitoring. Its core, Mini-BirdFormer, combines a lightweight Transformer encoder with a Student-t mixture density head to model heavy-tailed flight dynamics and produce calibrated uncertainty. Experiments on a real-world dataset show the model achieves strong long-horizon performance with only 1.05 million parameters, attaining a minADE of 0.785 m and reducing negative log-likelihood from 1.25 to -2.01 (lower is better) compared with a Gaussian Long Short-Term Memory (LSTM) baseline. Crucially, it enables low-latency inference on resource-constrained platforms at 616 FPS. Additionally, a system-level extension supports zero-shot UAV detection via open-vocabulary learning, attaining 92% recall without false alarms. Results demonstrate that combining heavy-tailed probabilistic modeling with a compact backbone provides a practical, deployable approach for monitoring shared airspace.","url":"https://pubmed.ncbi.nlm.nih.gov/41755209/","authors":["Song F","Liu Z","Zhao Y","Zhu J"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2026 Feb 15","addedAt":"2026-08-06T22:48:56.523Z"},{"id":"pmid:41682270","name":"Distinguishing a Drone from Birds Based on Trajectory Movement and Deep Learning.","source":"pubmed","abstract":"Unmanned aerial vehicles (UAVs) increasingly share low-altitude airspace with birds, making early distinguishing between drones and biological targets critical for safety and security. This work addresses long-range scenarios where objects occupy only a few pixels and appearance-based recognition becomes unreliable. We develop a model-driven simulation pipeline that generates synthetic data with a controlled camera model, atmospheric background and realistic motion of three aerial target types: multicopter, fixed-wing UAV and bird. From these sequences, each track is encoded as a time series of image-plane coordinates and apparent size, and a bidirectional long short-term memory (LSTM) network is trained to classify trajectories as drone-like or bird-like. The model learns characteristic differences in smoothness, turning behavior and velocity fluctuations, and to achieve reliable separation between drone and bird motion patterns on synthetic test data. Motion-trajectory cues alone can support early distinguishing of drones from birds when visual details are scarce, providing a complementary signal to conventional image-based detection. The proposed synthetic data and sequence classification pipeline forms a reproducible testbed that can be extended with real trajectories from radar or video tracking systems and used to prototype and benchmark trajectory-based recognizers for integrated surveillance solutions. The proposed method is designed to generalize naturally to real surveillance systems, as it relies on trajectory-level motion patterns rather than appearance-based features that are sensitive to sensor quality, illumination, or weather conditions.","url":"https://pubmed.ncbi.nlm.nih.gov/41682270/","authors":["Nesteruk A","Nikitin V","Albrekht Y","Ścisło Ł","Grela D","Król P"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2026 Jan 23","addedAt":"2026-08-06T22:48:56.523Z"},{"id":"pmid:41657402","name":"VisioDECT: A robust dataset for aerial and scenario based multi-drone detection, identification, and neutralization.","source":"pubmed","abstract":"The rapid proliferation of unmanned aerial vehicles (UAVs) for logistics, surveillance, and civilian applications continues to pose significant challenges to airspace security, particularly through unauthorized or malicious deployments. Existing UAV datasets are limited in scope, often focusing on single-drone scenarios, synthetic imagery, or restricted environmental conditions, thereby constraining the development of robust counter-UAV systems. To bridge these gaps, we present vision-based drone detection dataset named as VisioDECT , a comprehensive and scenario-rich dataset for multi-drone detection, identification, and neutralization. The dataset comprises 20,924 annotated images and labels from six UAV models (Anafi-Extended, DJI FPV, DJI Phantom, EFT-E410S, Mavic Air 2, and Mavic 2 Enterprise), captured across three distinct scenarios (sunny, cloudy, and evening) at varying altitudes (30-100 m) and distances. Importantly, all UAVs included in this dataset are rotary-wing (multirotor) platforms, which dominate low-altitude airspace and are the most commonly encountered in real-world surveillance and counter-UAV scenarios. Data were collected over 20 months from more than 12 locations in South Korea, ensuring diversity in illumination, weather, and background complexity. Each sample is provided in three standard formats (.txt, .xml, .csv), with detailed metadata and quality-verified annotations for detection and classification tasks. Illustrative benchmark evaluations using state-of-the-art detection models (e.g., DRONET, YOLO variants) are included solely to validate the quality and practical usability of the dataset for real-time drone defense research. VisioDECT provides a standardized, reproducible, and scalable resource that enables benchmarking, model training, and evaluation for airspace surveillance, UAV traffic management, and national security applications.","url":"https://pubmed.ncbi.nlm.nih.gov/41657402/","authors":["Ajakwe SO","Ihekoronye VU","Mohtasin G","Akter R","Lee JM","Kim DS"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2026 Apr","addedAt":"2026-08-06T22:48:56.523Z"},{"id":"pmid:41228974","name":"Secure and Intelligent Low-Altitude Infrastructures: Synergistic Integration of IoT Networks, AI Decision-Making and Blockchain Trust Mechanisms.","source":"pubmed","abstract":"The low-altitude economy (LAE), encompassing urban air mobility, drone logistics and sub 3000 m aerial surveillance, demands secure, intelligent infrastructures to manage increasingly complex, multi-stakeholder operations. This survey evaluates the integration of Internet of Things (IoT) networks, artificial intelligence (AI) decision-making and blockchain trust mechanisms as foundational enablers for next-generation LAE ecosystems. IoT sensor arrays deployed at ground stations, unmanned aerial vehicles (UAVs) and vertiports form a real-time data fabric that records variables from air traffic density to environmental parameters. These continuous data streams empower AI models ranging from predictive analytics and computer vision (CV) to multi-agent reinforcement learning (MARL) and large language model (LLM) reasoning to optimize flight paths, identify anomalies and coordinate swarm behaviors autonomously. In parallel, blockchain architectures furnish immutable audit trails for regulatory compliance, support secure device authentication via decentralized identifiers (DIDs) and automate contractual exchanges for services such as airspace leasing or payload delivery. By examining current research and practical deployments, this review demonstrates how the synergistic application of IoT, AI and blockchain can bolster operational efficiency, resilience and trustworthiness across the LAE landscape.","url":"https://pubmed.ncbi.nlm.nih.gov/41228974/","authors":["Ye Y","Min X","Liu X","Chen X","Cao K","Howlader SMRK","Chen X"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025 Nov 4","addedAt":"2026-08-06T22:48:56.523Z"},{"id":"pmid:41095068","name":"Real-Time Detection Sensor for Unmanned Aerial Vehicle Using an Improved YOLOv8s Algorithm.","source":"pubmed","abstract":"This study advances the unmanned aerial vehicle (UAV) localization technology within the framework of a low-altitude economy, with particular emphasis on the accurate and real-time identification and tracking of unauthorized (\"black-flying\") drones. Conventional YOLOv8s-based target detection algorithms often suffer from missed detections due to their reliance on single-frame features. To address this limitation, this paper proposes an improved detection algorithm that integrates a long-short-term memory (LSTM) network into the YOLOv8s framework. By incorporating time-series modeling, the LSTM module enables the retention of historical features and dynamic prediction of UAV trajectories. The loss function combines bounding box regression loss with binary cross-entropy and is optimized using the Adam algorithm to enhance training convergence. The training data distribution is validated through Monte Carlo random sampling, which improves the model's generalization to complex scenes. Simulation results demonstrate that the proposed method significantly enhances UAV detection performance. In addition, when deployed on the RK3588-based embedded system, the method achieves a low false negative rate and exhibits robust detection capabilities, indicating strong potential for practical applications in airspace management and counter-UAV operations.","url":"https://pubmed.ncbi.nlm.nih.gov/41095068/","authors":["Lu F","Zeng C","Shi H","Xu Y","Fu S"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025 Oct 9","addedAt":"2026-08-06T22:48:56.523Z"},{"id":"pmid:41094153","name":"Landing control algorithm for gimbal-serviced UAVs based on field-of-view constraints.","source":"pubmed","abstract":"This paper presents a robust and adaptive visual servoing-based landing control method for unmanned aerial vehicles (UAVs) equipped with a three-axis gimbal camera. To address the limitations of fixed-camera configurations, the proposed approach integrates pixel-level field-of-view (FOV) constraints and leverages the gimbal's agility for enhanced visual tracking. The landing task is formulated as a constrained image-based control problem, where tracking errors of image features are rigorously bounded using prescribed performance functions. A velocity observer is incorporated to estimate the time-varying motion of the landing platform in real time, enabling accurate autonomous landing without relying on external communication or infrastructure. Lyapunov-based stability analysis confirms the theoretical soundness of the control strategy. Simulation results validate the effectiveness and robustness of the proposed method, demonstrating improved accuracy, adaptability, and practical applicability in UAV landing scenarios.","url":"https://pubmed.ncbi.nlm.nih.gov/41094153/","authors":["Mao W","Li Z","Huo M"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025 Oct 15","addedAt":"2026-08-06T22:48:56.523Z"},{"id":"pmid:40839710","name":"An improved YOLOv8s-based UAV target detection algorithm.","source":"pubmed","abstract":"At present, the low-altitude economy is booming, and the application of drones has shown explosive growth, injecting new vitality into economic development. UAVs will face complex environmental perception and security risks when operating in low airspace. Accurate target detection technology has become a key support to ensure the orderly operation of UAVs. This paper studies UAV target detection algorithm based on deep learning, in order to improve detection accuracy and speed, and meet the needs of UAV autonomous perception under the background of low altitude economy. This study focuses on the limitations of the YOLOv8s target detection algorithm, including its low efficiency in multi-scale feature processing and insufficient small target detection capability, which hinder its ability to perform rapid and accurate large-scale searches for drones. An improved target detection algorithm is proposed to address these issues. The algorithm introduces AKConv into the C2F module. AKConv allows for convolution kernels with arbitrary numbers and sampling shapes, enabling convolution operations to more precisely adapt to targets at different locations, thereby achieving more efficient feature extraction. To further enhance the model's ability to extract critical features of small targets, the SPPF module incorporates the LSKA mechanism. This mechanism captures long-range dependencies and adaptivity more effectively while addressing computational complexity issues associated with large convolution kernels. Finally, the Bi-FPN feature pyramid network structure is introduced at the 18th layer of the model to accelerate and enrich feature fusion in the neck. Combined with the SCDown structure, a novel Bi-SCDown-FPN feature pyramid network structure is proposed, making it more suitable for detecting targets with insufficient feature capture in complex environments. Experimental results on the VisDrone2019 UAV dataset show that the improved algorithm achieves a 5.9%, 4.5%, and 6.1% increase in detection precision, detection recall, and mean average precision, respectively, compared to the original algorithm. Moreover, the parameter count and weight file size are reduced by 13.41% and 13.33%, respectively. Compared to other mainstream target detection algorithms, the proposed method demonstrates certain advantages. In summary, the target detection algorithm proposed in this paper achieves a dual improvement in model lightweighting and detection accuracy.","url":"https://pubmed.ncbi.nlm.nih.gov/40839710/","authors":["Wang X","Hu Y","Liang Q","He Y","Zhou L"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025","addedAt":"2026-08-06T22:48:56.523Z"},{"id":"pmid:40242556","name":"Study on the standardization method of radiotelephony communication in low-altitude airspace based on BART.","source":"pubmed","abstract":"The development of air traffic control (ATC) automation has been constrained by the scarcity and low quality of communication data, particularly in low-altitude complex airspace, where non-standardized instructions frequently hinder training efficiency and operational safety. This paper proposes the BART-Reinforcement Learning (BRL) model, a deep reinforcement learning model based on the BART pre-trained language model, optimized through transfer learning and reinforcement learning techniques. The model was evaluated on multiple ATC datasets, including training flight data, civil aviation operational data, and standardized datasets generated from Radiotelephony Communications for Air Traffic Services. Evaluation metrics included ROUGE and semantic intent-based indicators, with comparative analysis against several baseline models. Experimental results demonstrate that BRL achieves a 10.5% improvement in overall accuracy on the training dataset with the highest degree of non-standardization, significantly outperforming the baseline models. Furthermore, comprehensive evaluations validate the model's effectiveness in standardizing various types of instructions. The findings suggest that reinforcement learning-based approaches have the potential to significantly enhance ATC automation, reducing communication inconsistencies, and improving training efficiency and operational safety. Future research may further optimize standardization by incorporating additional contextual factors into the model.","url":"https://pubmed.ncbi.nlm.nih.gov/40242556/","authors":["Pan W","Han B","Jiang P"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025","addedAt":"2026-08-06T22:48:56.523Z"},{"id":"pmid:39123889","name":"Research on the Collision Risk of Fusion Operation of Manned Aircraft and Unmanned Aircraft at Zigong Airport.","source":"pubmed","abstract":"Low-altitude airspace is developing rapidly, but the utilization rate of airspace resources is low. Therefore, in order to solve the problem of the safe operation of the fusion of large UAVs and manned aircraft in the same airspace, this paper analyzes the theoretical calculation of the collision risk of the fusion operation of manned aircraft and UAVs at Feng Ming Airport in Zigong, verifying that while assessing the safety spacing of 10 km in the lateral direction, it further simulates the possibility of calculating the theoretical smaller safety spacing. The study will propose a new theory of error spacing safety margin and improve it according to the traditional Event collision risk model, combining the error spacing safety margin to establish an improved collision model more suitable for the fusion operation of manned and unmanned aircraft and reduce the redundancy of calculation. The error factors affecting manned and unmanned aircraft at Zigong Airport are analyzed, and theoretical calculations are analyzed by combining the actual data of Zigong Airport. Finally, the Monte Carlo simulation method is used to solve the error, substitute the calculation results, and simulate a section of the trajectory of the fusion operation for the reverse argument. The theoretical calculation results show that the collision risk from 10 km to 8 km satisfies the lateral target safety level (TSL) specified by ICAO under both traditional and improved models. The collision risk calculated by the improved model incorporating the error spacing safety margin is smaller, which enhances the safety of the model calculations. The results of the study can provide theoretical references for the fusion operation of manned and unmanned aircraft.","url":"https://pubmed.ncbi.nlm.nih.gov/39123889/","authors":["Huang L","Huang C","Zhou C","Xie C","Zhao Z","Huang T"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2024 Jul 25","addedAt":"2026-08-06T22:48:56.523Z"},{"id":"pmid:39088814","name":"5G Key Technologies for Helicopter Aviation Medical Rescue.","source":"pubmed","abstract":"Rapid global population growth and urbanization have heightened the demand for emergency medical rescue, with helicopter medical rescue emerging as an effective solution. The advent of 5G communication technology, characterized by large bandwidth, low latency, and high reliability, offers substantial promise in enhancing the efficiency and quality of helicopter rescue operations. However, the full integration of 5G technology into helicopter emergency medical services is still in its nascent stages and requires further development. In this viewpoint, we present our experience from the Shenzhen University General Hospital of the application of 5G low-altitude network communication technology, body area network disease sensing technology, and 5G air-ground collaborative rapid diagnosis and treatment technology in aeromedical rescue. We consider that the 5G air-to-ground collaborative rapid diagnosis and treatment technology enables high-quality remote consultation, enhancing emergency medical rescue and providing strong support for future rescue operations.","url":"https://pubmed.ncbi.nlm.nih.gov/39088814/","authors":["Han W Sr","Li Nd Y","Chen Rd C","Huang D","Wang J","Li X","Ji Z","Li Q","Li Z"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2024 Aug 1","addedAt":"2026-08-06T22:48:56.523Z"},{"id":"pmid:38793871","name":"Optical Flow-Based Obstacle Detection for Mid-Air Collision Avoidance.","source":"pubmed","abstract":"The sky may seem big enough for two flying vehicles to collide, but the facts show that mid-air collisions still occur occasionally and are a significant concern. Pilots learn manual tactics to avoid collisions, such as see-and-avoid, but these rules have limitations. Automated solutions have reduced collisions, but these technologies are not mandatory in all countries or airspaces, and they are expensive. These problems have prompted researchers to continue the search for low-cost solutions. One attractive solution is to use computer vision to detect obstacles in the air due to its reduced cost and weight. A well-trained deep learning solution is appealing because object detection is fast in most cases, but it relies entirely on the training data set. The algorithm chosen for this study is optical flow. The optical flow vectors can help us to separate the motion caused by camera motion from the motion caused by incoming objects without relying on training data. This paper describes the development of an optical flow-based airborne obstacle detection algorithm to avoid mid-air collisions. The approach uses the visual information from a monocular camera and detects the obstacles using morphological filters, optical flow, focus of expansion, and a data clustering algorithm. The proposal was evaluated using realistic vision data obtained with a self-developed simulator. The simulator provides different environments, trajectories, and altitudes of flying objects. The results showed that the optical flow-based algorithm detected all incoming obstacles along their trajectories in the experiments. The results showed an F-score greater than 75% and a good balance between precision and recall.","url":"https://pubmed.ncbi.nlm.nih.gov/38793871/","authors":["Vera-Yanez D","Pereira A","Rodrigues N","Molina JP","García AS","Fernández-Caballero A"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2024 May 9","addedAt":"2026-08-06T22:48:56.523Z"},{"id":"pmid:38130440","name":"A decouple-decomposition noise analysis model for closed-loop mode-localized tilt sensors.","source":"pubmed","abstract":"The development of mode-localized sensors based on amplitude output metrics has attracted increasing attention in recent years due to the potential of such sensors for high sensitivity and resolution. Mode-localization phenomena leverage the interaction between multiple coupled resonant modes to achieve enhanced performance, providing a promising solution to overcome the limitations of traditional sensing technologies. Amplitude noise plays a key role in determining the resolution of mode-localized sensors, as the output metric is derived from the measured AR (amplitude ratio) within the weakly coupled resonator system. However, the amplitude noise originating from the weakly coupled resonator's closed-loop circuit has not yet been fully investigated. This paper presents a decouple-decomposition (DD) noise analysis model, which is applied to achieve high resolution in a mode-localized tilt sensor based on a weakly coupled resonator closed-loop circuit. The DD noise model separates the weakly coupled resonators using the decoupling method considering the nonlinearity of the resonators. By integrating the decoupled weakly coupled resonators, the model decomposes the weakly coupled resonator's closed-loop circuit into distinct paths for amplitude and phase noise analyses. The DD noise model reveals noise effects at various circuit nodes and models the system noise in the closed-loop circuit of the weakly coupled resonators. MATLAB/Simulink simulations verify the model's accuracy when compared to theoretical analysis. At the optimal operating point, the mode-localized tilt sensor achieves an input-referred instability of 3.91&#x2009;&#xd7;&#x2009;10 -4&#xb0; and an input-referred AR of PSD of 2.01&#x2009;&#xd7;&#x2009;10 -4&#xb0; &#x2044;&#x221a;Hz using the closed-loop noise model. This model is also applicable to other varieties of mode-localized sensors.","url":"https://pubmed.ncbi.nlm.nih.gov/38130440/","authors":["Wang K","Xiong X","Wang Z","Ma L","Wang B","Yang W","Bie X","Li Z","Zou X"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2023","addedAt":"2026-08-06T22:48:56.523Z"},{"id":"pmid:37630092","name":"Analysis of the Thermally Induced Packaging Effects on the Frequency Drift of Micro-Electromechanical System Resonant Accelerometer.","source":"pubmed","abstract":"Due to the working principle of MEMS resonant accelerometers, their thermally induced frequency drift is an inevitable practical issue for their extensive application. This paper is focused on reducing the thermally induced packaging effects on the frequency drift. A leadless ceramic chip carrier package with a stress-buffering layer was proposed for a MEMS resonant accelerometer, and the influences of packaging structure parameters on the frequency drift were investigated through finite element simulations and verified experimentally. Because of the thermal mismatch between dissimilar materials, the thermo-mechanical stress within the resonant beam leads to a change in the effective stiffness and causes the frequency drift to decrease linearly with increasing temperature. Furthermore, our investigations reveal that increasing the stress-buffering layer thickness and reducing the solder layer thickness can significantly minimize the thermo-mechanical stress within the resonant beam. As the neutral plane approaches the horizontal symmetry plane of the resonant beam when optimizing the packaging structure, the effects of the compressive and tensile stresses on the effective stiffness of the resonant beam will cancel each other out, which can dramatically reduce the frequency drift. These findings provide guidelines for packaging design through which to improve the temperature stability of MEMS resonant accelerometers.","url":"https://pubmed.ncbi.nlm.nih.gov/37630092/","authors":["Bie X","Xiong X","Wang Z","Yang W","Li Z","Zou X"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2023 Aug 3","addedAt":"2026-08-06T22:48:56.523Z"},{"id":"pmid:36904706","name":"Enhanced Terahertz Fingerprint Sensing Mechanism Study of Tiny Molecules Based on Tunable Spoof Surface Plasmon Polaritons on Composite Periodic Groove Structures.","source":"pubmed","abstract":"Highly sensitive detection of enhanced terahertz (THz) fingerprint absorption spectrum of trace-amount tiny molecules is essential for biosensing. THz surface plasmon resonance (SPR) sensors based on Otto prism-coupled attenuated total reflection (OPC-ATR) configuration have been recognized as a promising technology in biomedical detection applications. However, THz-SPR sensors based on the traditional OPC-ATR configuration have long been associated with low sensitivity, poor tunability, low refractive index resolution, large sample consumption, and lack of fingerprint analysis. Here, we propose an enhanced tunable high-sensitivity and trace-amount THz-SPR biosensor based on a composite periodic groove structure (CPGS). The elaborate geometric design of the spoof surface plasmon polaritons (SSPPs) metasurface increases the number of electromagnetic hot spots on the surface of the CPGS, improves the near-field enhancement effect of SSPPs, and enhances the interaction between THz wave and the sample. The results show that the sensitivity (S), figure of merit (FOM) and Q-factor (Q) can be increased to 6.55 THz/RIU, 4234.06 1/RIU and 629.28, respectively, when the refractive index range of the sample to measure is between 1 and 1.05 with the resolution 1.54&#xd7;10-5 RIU. Moreover, by making use of the high structural tunability of CPGS, the best sensitivity (SPR frequency shift) can be obtained when the resonant frequency of the metamaterial approaches the biological molecule oscillation. These advantages make CPGS a strong candidate for the high-sensitivity detection of trace-amount biochemical samples.","url":"https://pubmed.ncbi.nlm.nih.gov/36904706/","authors":["Zhao R","Feng Y","Ling H","Zou X","Wang M","Lu G"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2023 Feb 23","addedAt":"2026-08-06T22:48:56.523Z"},{"id":"pmid:35161587","name":"Investigation of Using Sky Openness Ratio as Predictor for Navigation Performance in Urban-like Environment to Support PBN in UTM.","source":"pubmed","abstract":"One of the causes of positioning inaccuracies in the Unmanned Aircraft System (UAS) is navigation error. In urban environment operations, multipaths could be the dominant contributor to navigation errors. This paper presents a study on how the operation environment affects the lateral (horizontal) navigation performance when a self-built UAS is going near different types of urban obstructions in real flight tests. Selected test sites are representative of urban environments, including open carparks, flight paths obstructed by buildings along one or both sides, changing sky access when flying towards corners formed by two buildings or dead ends, and buildings with reflective glass-clad surfaces. The data was analysed to obtain the horizontal position error between Global Positioning System (GPS) position and ground truth derived from Real Time Kinematics (RTK), with considerations for (1) horizontal position uncertainty estimate (EPH) reported by the GPS receiver, (2) no. of visible satellites, and (3) percentage of sky visible (or sky openness ratio, SOR) at various altitudes along the flight paths inside the aforementioned urban environments. The investigation showed that there is no direct correlation between the measured horizontal position error and the reported EPH; thus, the EPH could not be used for the purpose of monitoring navigation performance. The investigation further concluded that there is no universal correlation between the sky openness ratio (SOR) seen by the UAS and the resulting horizontal position error, and a more complex model would need to be considered to translate 3D urban models to expected horizontal navigation uncertainty for the UAS Traffic Management (UTM) airspace.","url":"https://pubmed.ncbi.nlm.nih.gov/35161587/","authors":["Deng C","Wang CJ","Low KH"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2022 Jan 22","addedAt":"2026-08-06T22:48:56.523Z"},{"id":"pmid:34502608","name":"The Internet of Drones: Requirements, Taxonomy, Recent Advances, and Challenges of Research Trends.","source":"pubmed","abstract":"The use of unmanned aerial vehicles or drones are a valuable technique in coping with issues related to life in the general public's daily routines. Given the growing number of drones in low-altitude airspace, linking drones to form the Internet of drones (IoD) is a highly desirable trend to improve the safety as well as the quality of flight. However, there remain security, privacy, and communication issues related to IoD. In this paper, we discuss the key requirements of security, privacy, and communication and we present a taxonomy of IoD based on the most relevant considerations. Furthermore, we present the most commonly used commercial case studies and address the latest advancements and solutions proposed for the IoD environments. Lastly, we discuss the challenges and future research directions of IoD.","url":"https://pubmed.ncbi.nlm.nih.gov/34502608/","authors":["Abdelmaboud A"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2021 Aug 25","addedAt":"2026-08-06T22:48:56.523Z"},{"id":"pmid:33925489","name":"UTM-Chain: Blockchain-Based Secure Unmanned Traffic Management for Internet of Drones.","source":"pubmed","abstract":"Unmanned aerial systems (UAVs) are dramatically evolving and promoting several civil applications. However, they are still prone to many security issues that threaten public safety. Security becomes even more challenging when they are connected to the Internet as their data stream is exposed to attacks. Unmanned traffic management (UTM) represents one of the most important topics for small unmanned aerial systems for beyond-line-of-sight operations in controlled low-altitude airspace. However, without securing the flight path exchanges between drones and ground stations or control centers, serious security threats may lead to disastrous situations. For example, a predefined flight path could be easily altered to make the drone perform illegal operations. Motivated by these facts, this paper discusses the security issues for UTM's components and addresses the security requirements for such systems. Moreover, we propose UTM-Chain, a lightweight blockchain-based security solution using hyperledger fabric for UTM of low-altitude UAVs which fits the computational and storage resources limitations of UAVs. Moreover, UTM-Chain provides secure and unalterable traffic data between the UAVs and their ground control stations. The performance of the proposed system related to transaction latency and resource utilization is analyzed by using cAdvisor. Finally, the analysis of security aspects demonstrates that the proposed UTM-Chain scheme is feasible and extensible for the secure sharing of UAV data.","url":"https://pubmed.ncbi.nlm.nih.gov/33925489/","authors":["Allouch A","Cheikhrouhou O","Koubâa A","Toumi K","Khalgui M","Nguyen Gia T"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2021 Apr 27","addedAt":"2026-08-06T22:48:56.523Z"},{"id":"pmid:33852616","name":"A low-altitude public air route network for UAV management constructed by global subdivision grids.","source":"pubmed","abstract":"With an increasing number of unmanned aerial vehicles (UAVs), the difficulty of UAV management becomes more challenging, especially for low-altitude airspace due to complicated issues of security, privacy and flexibility. Existing management approaches to UAV flights include implementing registration of flight activity for supervision purposes, limiting the maximum flight height, setting different zones for different flight activities and prohibiting flights. In this research, we proposed a new air traffic management method for UAVs based on global subdivision theory. We designed four types of low-altitude air routes from grids, which correspond to grid sizes of 1.85 km, 128 m, 64 m and 32 m. Utilization of the subdivision grids transforms the complex spatial computation problem into a query process in the spatial database, which provides a new approach to UAV management in the fifth-generation (5G) era. We compared the number and data size of stored track records using longitude and latitude and different grid levels, computed time consumption for air route trafficability and simulated UAV flight to verify the feasibility of constructing this type of air traffic highway system. The amount of data storage and time consumption for air route trafficability can be substantially reduced by subdivision. For example, the data size using traditional expressions of latitude and longitude is approximately 1.5 times that of using a 21-level grid, and the time consumption by coordinates is approximately 1.5 times that of subdivision grids at level 21. The results of the simulated experiments indicate that in the 5G environment, gridded airspace can effectively improve the efficiency of UAV trajectory planning and reduce the size of information storage in the airspace environment. Therefore, given the increasing number of UAVs in the future, gridded highways have the potential to provide a foundation for various UAV applications.","url":"https://pubmed.ncbi.nlm.nih.gov/33852616/","authors":["Zhai W","Han B","Li D","Duan J","Cheng C"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2021","addedAt":"2026-08-06T22:48:56.523Z"},{"id":"pmid:32952321","name":"Managing the drone revolution: A systematic literature review into the current use of airborne drones and future strategic directions for their effective control.","source":"pubmed","abstract":"Commercial and private deployment of airborne drones is revolutionising many ecosystems. To identify critical issues and research gaps, our systematic literature review findings suggest that historic issues such as privacy, acceptance and security are increasingly replaced by operational considerations including interaction with and impacts on other airspace users. Recent incidents show that unrestricted drone use can inflict problems on other airspace users like airports and emergency services. Our review of current regulatory approaches shows a need for further policy and management response to both manage rapid and efficient drone usage growth, and facilitate innovation (e.g. intraurban package delivery), with one promising strategic response being low altitude airspace management (LAAM) systems for all drone use cases.","url":"https://pubmed.ncbi.nlm.nih.gov/32952321/","authors":["Merkert R","Bushell J"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2020 Oct","addedAt":"2026-08-06T22:48:56.523Z"},{"id":"pmid:31684133","name":"Internet of Unmanned Aerial Vehicles-A Multilayer Low-Altitude Airspace Model for Distributed UAV Traffic Management.","source":"pubmed","abstract":"The rapid adoption of Internet of Things (IoT) has encouraged the integration of new connected devices such as Unmanned Aerial Vehicles (UAVs) to the ubiquitous network. UAVs promise a pragmatic solution to the limitations of existing terrestrial IoT infrastructure as well as bring new means of delivering IoT services through a wide range of applications. Owning to their potential, UAVs are expected to soon dominate the low-altitude airspace over populated cities. This introduces new research challenges such as the safe management of UAVs operation under high traffic demands. This paper proposes a novel way of structuring the uncontrolled, low-altitude airspace, with the aim of addressing the complex problem of UAV traffic management at an abstract level. The work, hence, introduces a model of the airspace as a weighted multilayer network of nodes and airways and presents a set of experimental simulation results using three UAV traffic management heuristics.","url":"https://pubmed.ncbi.nlm.nih.gov/31684133/","authors":["Labib NS","Danoy G","Musial J","Brust MR","Bouvry P"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2019 Nov 3","addedAt":"2026-08-06T22:48:56.523Z"},{"id":"pmid:31291487","name":"Probability of Low-Altitude Midair Collision Between General Aviation and Unmanned Aircraft.","source":"pubmed","abstract":"Unmanned aircrafts (UA) usually fly below 500 ft to be segregated from manned aircraft. However, while general aviation (GA) usually do fly above 500 ft in areas where UA are allowed to operate, GA will at times also fly below 500 ft. Consequently, there is a distinct risk of near-miss encounters as well as actual midair collisions (MACs). This work presents a model for determining this risk based on physical parameters of the aircraft and actual figures for the numbers of GA in a given airspace, as well as the probability of having GA below 500 ft. The aim is to achieve a prediction with a precision better than one order of magnitude relative to the true MAC rate value. The model is applied to Danish airspace and the MAC rate for unmitigated operations of UA is found to be approximately 10 -6 MAC per flight hour. The model is particularly well suited for beyond visual line-of-sight operations, and is useful for UA operators for conducting risk assessment of planned operations as well as for regulators for determining appropriate operational&#xa0;requirements.","url":"https://pubmed.ncbi.nlm.nih.gov/31291487/","authors":["la Cour-Harbo A","Schiøler H"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2019 Nov","addedAt":"2026-08-06T22:48:56.523Z"},{"id":"pmid:30891300","name":"Common noctules exploit low levels of the aerosphere.","source":"pubmed","abstract":"Aerial habitats present a challenge to find food across a large potential search volume, particularly for insectivorous bats that rely on echolocation calls with limited detection range and may forage at heights over 1000 m. To understand how bats use vertical space, we tracked one to five foraging flights of eight common noctules ( Nyctalus noctula ). Bats were tracked for their full foraging session (87.27 &#xb1; 24 min) using high-resolution atmospheric pressure radio transmitters that allowed us to calculate height and wingbeat frequency. Bats used diverse flight strategies, but generally flew lower than 40 m, with scouting flights to 100 m and a maximum of 300 m. We found no influence of weather on height, and high-altitude ascents were not preceded by an increase in foraging effort. Wingbeat frequency was independent from climbing or descending flight, and bats skipped wingbeats or glided in 10% of all observations. Wingbeat frequency was positively related to capture mass, and wingbeat frequency was positively related to time of night, indicating an effect of load increase over a foraging bout. Overall, individuals used a wide range of airspace including altitudes that put them at increased risk from human-made structures. Further work is needed to test the context of these flight decisions, particularly as individuals migrate throughout Europe.","url":"https://pubmed.ncbi.nlm.nih.gov/30891300/","authors":["O'Mara MT","Wikelski M","Kranstauber B","Dechmann DKN"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2019 Feb","addedAt":"2026-08-06T22:48:56.523Z"},{"id":"pmid:30091664","name":"Acclimatization of low altitude-bred deer mice ( Peromyscus maniculatus) to high altitude.","source":"pubmed","abstract":"A colony of deer mice subspecies ( Peromyscus maniculatus sonoriensis) native to high altitude (HA) has been maintained at sea level for 18-20 generations and remains genetically unchanged. To determine if these animals retain responsiveness to hypoxia, one group (9-11 wk old) was acclimated to HA (3,800 m) for 8 wk. Age-matched control animals were acclimated to a lower altitude (LA; 252 m). Maximal O 2 uptake (V&#x307;o 2max ) was measured at the respective altitudes. On a separate day, lung volume, diffusing capacity for carbon monoxide (DL CO ), and pulmonary blood flow were measured under anesthesia using a rebreathing technique at two inspired O 2 tensions. The HA-acclimated deer mice maintained a normal V&#x307;o 2max relative to LA baseline. Compared with LA control mice, antemortem lung volume was larger in HA mice in a manner dependent on alveolar O 2 tension. Systemic hematocrit, pulmonary blood flow, and standardized DL CO did not differ significantly between groups. HA mice showed a higher postmortem alveolar-capillary hematocrit, larger alveolar ducts, and smaller distal conducting structures. In HA mice, absolute volumes of alveolar type I epithelia and endothelia were higher whereas that of interstitia was lower than in LA mice. These structural changes occurred without a net increase in whole-lung septal tissue-capillary volumes or surface areas. Thus, deer mice bred and raised to adulthood at LA retain phenotypic plasticity and adapt to HA without a decrement in V&#x307;o 2max via structural (enlarged airspaces, alveolar septal remodeling) and nonstructural (lung expansion under hypoxia) mechanisms and without an increase in systemic hematocrit or compensatory lung growth. NEW &amp; NOTEWORTHY Deer mice ( Peromyscus maniculatus) are robust and very active mammals that are found across the North American continent. They are also highly adaptable to extreme environments. When introduced to high altitude they retain remarkable adaptive ability to the low-oxygen environment via lung expansion and remodeling of existing lung structure, thereby maintaining normal aerobic capacity without generating more red blood cells or additional lung tissue.","url":"https://pubmed.ncbi.nlm.nih.gov/30091664/","authors":["Dane DM","Cao K","Lu H","Yilmaz C","Dolan J","Thaler CD","Ravikumar P","Hammond KA","Hsia CCW"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2018 Nov 1","addedAt":"2026-08-06T22:48:56.523Z"},{"id":"pmid:28725381","name":"Extending bioacoustic monitoring of birds aloft through flight call localization with a three-dimensional microphone array.","source":"pubmed","abstract":"Bioacoustic localization of bird vocalizations provides unattended observations of the location of calling individuals in many field applications. While this technique has been successful in monitoring terrestrial distributions of calling birds, no published study has applied these methods to migrating birds in flight. The value of nocturnal flight call recordings can increase with the addition of three-dimensional position retrievals, which can be achieved with adjustments to existing localization techniques. Using the time difference of arrival method, we have developed a proof-of-concept acoustic microphone array that allows the three-dimensional positioning of calls within the airspace. Our array consists of six microphones, mounted in pairs at the top and bottom of three 10-m poles, arranged in an equilateral triangle with sides of 20&#xa0;m. The microphone array was designed using readily available components and costs less than $2,000 USD to build and deploy. We validate this technique using a kite-lofted GPS and speaker package, and obtain 60.1% of vertical retrievals within the accuracy of the GPS measurements (&#xb1;5&#xa0;m) and 80.4% of vertical retrievals within &#xb1;10&#xa0;m. The mean Euclidian distance between the acoustic retrievals of flight calls and the GPS truth was 9.6&#xa0;m. Identification and localization of nocturnal flight calls have the potential to provide species-specific spatial characterizations of bird migration within the airspace. Even with the inexpensive equipment used in this trial, low-altitude applications such as surveillance around wind farms or oil platforms can benefit from the three-dimensional retrievals provided by this technique.","url":"https://pubmed.ncbi.nlm.nih.gov/28725381/","authors":["Stepanian PM","Horton KG","Hille DC","Wainwright CE","Chilson PB","Kelly JF"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2016 Oct","addedAt":"2026-08-06T22:48:56.523Z"},{"id":"pmid:26872654","name":"The role of the US Great Plains low-level jet in nocturnal migrant behavior.","source":"pubmed","abstract":"The movements of aerial animals are under the constant influence of atmospheric flows spanning a range of spatiotemporal scales. The Great Plains nocturnal low-level jet is a large-scale atmospheric phenomenon that provides frequent strong southerly winds through a shallow layer of the airspace. The jet can provide substantial tailwind assistance to spring migrants moving northward, while hindering southward migration during autumn. This atmospheric feature has been suspected to play a prominent role in defining migratory routes, but the flight strategies used with respect to these winds are yet to be examined. Using collocated vertically pointing radar and lidar, we investigate the altitudinal selection behavior of migrants over Oklahoma during two spring and two autumn migration seasons. In general, migrants choose to fly within the jet in spring, often concentrating in the favorable wind speed maximum. Autumn migrants typically fly below the jet, although some will rapidly climb to reach altitudes above the inhibiting winds. The intensity of migration was relatively constant throughout the spring due to the predominantly favorable southerly jet winds. Conversely, autumn migrants were more apt to delay departure to wait for the relatively infrequent northerly winds.","url":"https://pubmed.ncbi.nlm.nih.gov/26872654/","authors":["Wainwright CE","Stepanian PM","Horton KG"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2016 Oct","addedAt":"2026-08-06T22:48:56.523Z"},{"id":"pmid:15643033","name":"Environmental support for older and younger pilots' comprehension of air traffic control information.","source":"pubmed","abstract":"We investigated whether expertise mitigates age differences on pilot communication tasks when experts rely on environmental support. Pilots and nonpilots listened to air traffic control messages describing a route through an airspace, during which they referred to a chart of the airspace. The routes were high (waypoint routes anchored to navigational reference points on the chart) or low (vector routes that were not) in contextual support. Participants read back messages and answered questions about aircraft position (which required integration of message and chart information) or altitude (which did not). Pilots more accurately answered questions. The expertise advantage for position, but not altitude, questions was greater for waypoint routes, showing differential use of environmental support by experts. Age did not moderate these effects.","url":"https://pubmed.ncbi.nlm.nih.gov/15643033/","authors":["Morrow DG","Miller LM","Ridolfo HE","Menard W","Stine-Morrow EA","Magnor C"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2005 Jan","addedAt":"2026-08-06T22:48:56.523Z"},{"id":"pmid:15372789","name":"Natural sunlight and its association to civil aviation accidents.","source":"pubmed","abstract":"Glare is a temporary visual sensation produced by luminance within the visual field that is significantly greater than that to which the eyes are adapted. Glare from natural and artificial light sources can result in temporary visual impairment, increasing the risk of an accident. This study investigates the relationship between visual impairment from natural sunlight and aviation accidents.","url":"https://pubmed.ncbi.nlm.nih.gov/15372789/","authors":["Nakagawara VB","Wood KJ","Montgomery RW"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2004 Aug","addedAt":"2026-08-06T22:48:56.523Z"},{"id":"doi:10.2139/ssrn.5094975","name":"Aerial e-mobility perspective: Anticipated designs and operational capabilities of eVTOL urban air mobility (UAM) aircraft","source":"crossref","abstract":"We collected data about 13 urban air mobility (UAM) electric vertical takeoff and landing (eVTOL) aircraft from 12 UAM companies in the world. While none of these models has yet reached a large-scale commercial operation (particularly as air taxis), some of them progressed well in the certification process and may have their UAM models widely operated within a few years. This article focuses on the variability in the configurations of these UAM eVTOL aircraft for aerial e-mobility; such as single-fixed-wing, tandem-tilt-wing, canard wing, fixed-rotor fixed-wing, full tilt-rotor, partial tiltrotor, V-shaped tail, tailless, twin tail, conventional tail assembly, distributed propulsion, multicopter, rear forward thrust propeller, ducted fans, and a hybrid airplane-helicopter design. The 13 UAM eVTOL aircraft covered here are: (1) EH216-S (by EHang), (2) VoloCity (by Volocopter), (3) Lilium Jet (by Lilium), (4) VoloRegion (by Volocopter), (5) CityAirbus NextGen (by Airbus), (6) Passenger Air Vehicle-PAV (by Boeing), (7) S-A2 (by Hyundai), (8) Joby (by Joby Aviation), (9) VX4 (by Vertical Aerospace Group), (10) Midnight (by Archer Aviation), (11) Eve (by Eve Air Mobility), (12) Jaunt (by Jaunt Air Mobility), and (13) Generation 6 (by Wisk Aero). Out of these 13 UAM eVTOL aircraft models for aerial e-mobility and/or air taxis, we found that 11 models utilize a wing configuration, while only two use a wingless multirotor concept (as in hobbyist drones). A fixed-wing design is associated with a faster travel speed, at the expense of added restrictions on maneuvering and low-speed travel (or hovering). Six models are intended to have an onboard human pilot, while the remaining seven models are designed to be pilotless. One model demonstrated the ability to use hydrogen as a clean source of energy through a fuel cell system.","url":"https://doi.org/10.2139/ssrn.5094975","authors":["Osama Marzouk"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-02-19T12:43:02Z","doi":"10.2139/ssrn.5094975","addedAt":"2026-08-31T06:39:36.893Z","updatedAt":"2026-08-31T06:39:56.012Z"},{"id":"doi:10.4050/f-0081-2025-0342","name":"Accident Survey of Fly-by-Wire Powered-lift Aircraft Toward Understanding Variable Configuration eVTOL Aircraft Certification Risk.","source":"crossref","abstract":"This paper outlines observations from an FAA-sponsored research project that examined aviation Fly-By-Wire (FBW) accidents. The goal was to identify risk areas that will help guide a focus for FAA certification testing. Part of this study specifically focused on current powered-lift tiltrotors, identifying six general categories of causal factors for accidents, which will be discussed in detail regarding how they influenced flight control designs. The results of this survey, along with extrapolation to current designs, will be discussed and will illustrate why manufacturers are moving toward state-based flight control designs. In a state-based flight control scheme, the pilot does not have direct control over aircraft attitudes and motor tilt angles. Instead, the pilot requests a speed and or flight path with inceptor input, and the commanded attitudes and motor tilts are scheduled by the flight control computer. Additionally, recent lessons learned from electric Vertical Takeoff and Landing (eVTOL) aircraft accidents will be discussed, along with a comparison of powered-lift causal factors to accidents in the transport category FBW fixed-wing aircraft. From this analysis, broad observations will be offered about the trend of how accident-causal factors may evolve with greater maturity in aircraft design. This accident survey will be detailed further as part of an upcoming FAA Research Report.","url":"https://doi.org/10.4050/f-0081-2025-0342","authors":["Martin Shubert","David Sizoo"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-04-10T16:56:52Z","doi":"10.4050/f-0081-2025-0342","addedAt":"2026-08-31T06:39:36.893Z","updatedAt":"2026-08-31T06:39:38.600Z"},{"id":"doi:10.2514/6.2025-0006","name":"Aero-Propulsive Damping Characterization for eVTOL Aircraft Using Free Motion Wind-Tunnel Testing","source":"openalex","abstract":"This paper describes an electric vertical takeoff and landing (eVTOL) aircraft system identification method applied using three degree-of-freedom (3DOF) free motion wind-tunnel testing. The approach, similar to flight-test system identification, allows for efficient mathematical model development of the aero-propulsive moments applied on an eVTOL vehicle, including aerodynamic damping effects. The approach is demonstrated using a subscale tiltrotor eVTOL aircraft mounted on a new 3DOF wind-tunnel apparatus. To execute the test, a model-based 3DOF control system is designed to track attitude commands and transition the aircraft based on the freestream dynamic pressure. While the flight controller is active, orthogonal phase-optimized multisine inputs are injected into the attitude command and control effector command signals to enable collection of informative data for model identification. Aero-propulsive models are then identified at several reference conditions in the transition flight envelope using the equation-error method in the frequency domain. The identified models are shown to have a good fit to the modeling data and good prediction capability of data not used for model identification. The method yields aerodynamic damping estimates using less wind-tunnel test time compared to traditional forced oscillation experiments and supplements static wind-tunnel testing to produce a comprehensive transition aero-propulsive model suitable for use in flight dynamics simulations.","url":"https://doi.org/10.2514/6.2025-0006","authors":["Benjamin M. Simmons","Kasey A. Ackerman","Garrett D. Asper"],"tags":["Wind tunnel","Aerospace engineering","Marine engineering","Characterization (materials science)","Engineering"],"confidence":0.72,"sites":["low-altitude"],"publishedDate":"2025-01-03","doi":"10.2514/6.2025-0006","addedAt":"2026-08-31T06:39:36.893Z","updatedAt":"2026-08-31T14:45:35.251Z"},{"id":"doi:10.23919/acc63710.2025.11107862","name":"Machine Learning-Driven Prediction of Lithium-Ion Battery Power Capability for eVTOL Aircraft","source":"crossref","abstract":"","url":"https://doi.org/10.23919/acc63710.2025.11107862","authors":["Hao Tu","Yebin Wang","Shaoshuai Mou","Huazhen Fang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-08-21T18:17:51Z","doi":"10.23919/acc63710.2025.11107862","addedAt":"2026-08-31T06:39:36.893Z","updatedAt":"2026-08-31T06:39:38.600Z"},{"id":"doi:10.4050/f-0081-2025-0267","name":"Machine Learning Based Flight Dynamic Framework for eVTOL Aircraft","source":"openalex","abstract":"The advent of electric propulsion technology has led to a paradigm shift in aircraft design over the past few decades. This shift has expanded the possibilities for design and optimization processes more than at any previous time. To support these advancements, efficient flight dynamics simulation models that can be employed in iterative optimization and design processes are essential. Among the modules of a typical flight dynamics framework—namely, control, flight dynamics, and aerodynamics—the aerodynamics module, which includes the rotor performance model, generally demands the most computational effort, thereby limiting simulation efficiency. In this study, a novel machine learning (ML)-assisted flight dynamics framework is developed, incorporating a Neural Network Blade Element Theory (NN-BET) model as the rotor performance module. The results show a 7- to 8-fold reduction in computational time compared to fast, physics-based frameworks utilizing efficient Blade Element Momentum Theory (BEMT) models, without compromising predictive accuracy. Furthermore, the modular architecture of the framework allows for easy adaptation to a wide range of practical applications by replacing modules with functionally equivalent alternatives. The demonstrated accuracy and computational efficiency of the proposed flight dynamics framework make it a highly promising candidate for optimization and design applications.","url":"https://doi.org/10.4050/f-0081-2025-0267","authors":["Pedram Hashem Dabaghian","Atanu Halder","Pedram H. Dabaghian"],"tags":["Computer science","Aeronautics","Artificial intelligence","Engineering"],"confidence":0.72,"sites":["low-altitude"],"publishedDate":"2025-05-20","doi":"10.4050/f-0081-2025-0267","addedAt":"2026-08-31T06:39:36.893Z","updatedAt":"2026-08-31T14:45:35.251Z"},{"id":"doi:10.2514/6.2025-0967","name":"Generative Adversarial Networks for Dimensionality Reduction in eVTOL Aircraft Takeoff Trajectory Optimization","source":"openalex","abstract":"Electric vertical takeoff and landing (eVTOL) aircraft play a key role in urban air mobility (UAM), which aims to alleviate traffic congestion in urban areas. Despite their value, eVTOL aircraft suffer from battery energy consumption, which affects their range and endurance in real- world flight tasks. Especially, the takeoff process has been identified for excessive power demands. Multidisciplinary analysis and optimization manages to discover optimal takeoff trajectories with minimum energy consumption while balancing multidisciplinary trade-offs, such as short- distance takeoff and passengers’ comfort. However, conventional parametrization methods (such as B-spline curves) leverage an empirically high-dimensional design space to include real optimal design, which incurs convergence difficulty in model analysis and design optimization. In this work, a twin-generator generative adversarial network (twinGAN) was developed and demonstrated for intelligent parametrization of takeoff trajectories. Specifically, the twinGAN model exhibited two-fold dimensionality reduction, i.e., implicit reduction by generating only realistic trajectories and explicit reduction by reducing the original 40-dimensional B-spline control points to three-dimensional twinGAN variables. Meanwhile, the twinGAN was verified by reconstructing existing, realistic trajectories via fitting optimization, which achieved 99% accuracy. Thus, the twinGAN presented a 92.5% reduction on the dimension of original design space while maintaining sufficient variability. This significantly facilitates the process of analysis model convergence, surrogate modeling, as well as design optimization in the future work and can be extended to other relevant engineering areas.","url":"https://doi.org/10.2514/6.2025-0967","authors":["Sam Sisk","Farzaam Khorasani-Gerdehkouhi","Abdulaziz Abutunis","K Chandrashekhara","Xiaosong Du","K. Chandrashekhara"],"tags":["Dimensionality reduction","Trajectory","Computer science","Adversarial system","Reduction (mathematics)"],"confidence":0.72,"sites":["low-altitude"],"publishedDate":"2025-01-03","doi":"10.2514/6.2025-0967","addedAt":"2026-08-31T06:39:36.893Z","updatedAt":"2026-08-31T14:45:35.251Z"},{"id":"doi:10.5703/1288284318539","name":"Potential electric vertical taking-off and landing aircraft (eVTOL) Site Location Considering Flight Missions and Repeatability","source":"crossref","abstract":"","url":"https://doi.org/10.5703/1288284318539","authors":["Yinfei Liu","Joseph Hupy"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-02-07T04:39:41Z","doi":"10.5703/1288284318539","addedAt":"2026-08-31T06:39:36.893Z","updatedAt":"2026-08-31T06:39:38.600Z"},{"id":"doi:10.1109/aaac66612.2025.11427416","name":"Assessment of Handling Characteristics for the Hover Mission Task Element of TRC-based Evtol Aircraft","source":"openalex","abstract":"To deeply explore the low-speed handling character istics of electric vertical take-Off and landing aircraft, this paper conducts a study on the maneuverability of eVTOL aircraft based on the translational rate command. Firstly, a mathematical mode l of the eVTOL aircraft is established. Then, a nonlinear dynamic inverse control law and a translational rate command model based on a unified control framework are constructed. Subsequently, a detailed description and in-depth analysis of the operation of the hover task subject unit are carried out, and a task-oriented pilot model is established. This model selects three different pilot decision-making commands and control parameters to represent pilots with different levels of experience and handling proficiency. Finally, mathematical simulations are carried out, and the wavelet analysis method is introduced to quantify the pilot workload during the flight mission task element. The simulation results show that, under the TRC model, the three pilot models can basically meet the performance requirements of the established task subject unit. However, there are significant differences in control workload. The results of this research can provide valuable references for the evaluation of the airworthiness handling characteristics of eVTOL aircraft in low-speed mission task element.","url":"https://doi.org/10.1109/aaac66612.2025.11427416","authors":["Liqun Ma","Ziteng Liu"],"tags":["Task (project management)","Computer science","Element (criminal law)","Engineering","Key (lock)"],"confidence":0.72,"sites":["low-altitude"],"publishedDate":"2025-09-26","doi":"10.1109/aaac66612.2025.11427416","addedAt":"2026-08-31T06:39:36.893Z","updatedAt":"2026-08-31T14:45:35.251Z"},{"id":"doi:10.64631/nqcm3031","name":"The Integration of eVTOL Aircraft and Infrastructure into San Jose Mineta International Airport","source":"crossref","abstract":"","url":"https://doi.org/10.64631/nqcm3031","authors":["Skylar Bogner","Pranav Karthikeyan","Ganesh Ramamurthi","Krish Saini","Louisa Regulla-Wilkens","Elliana Zhao"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-12-15T20:14:46Z","doi":"10.64631/nqcm3031","addedAt":"2026-08-31T06:39:36.893Z","updatedAt":"2026-08-31T06:39:38.600Z"},{"id":"doi:10.4050/sm_handling_2025-5290","name":"Nonlinear Flight Dynamics of Over-Actuated Multi-Lift Rotor eVTOL Aircraft: First Steps","source":"openalex","abstract":"Nonlinear Flight Dynamics of Over-Actuated Multi-Lift Rotor eVTOL Aircraft: First Steps","url":"https://doi.org/10.4050/sm_handling_2025-5290","authors":["Justin Martin"],"tags":["Nonlinear system","Dynamics (music)","Control theory (sociology)","Rotor (electric)","Physics"],"confidence":0.72,"sites":["low-altitude"],"publishedDate":"2025-01-22","doi":"10.4050/sm_handling_2025-5290","addedAt":"2026-08-31T06:39:36.893Z","updatedAt":"2026-08-31T14:45:35.251Z"},{"id":"doi:10.3390/engproc2025090021","name":"Aircraft Design Capabilities for a System-of-Systems Approach (eVTOL and Seaplane Design)","source":"crossref","abstract":"","url":"https://doi.org/10.3390/engproc2025090021","authors":["Michele Tuccillo","Manuela Ruocco"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-03-12T04:54:52Z","doi":"10.3390/engproc2025090021","addedAt":"2026-08-31T06:39:36.893Z","updatedAt":"2026-08-31T06:39:38.600Z"},{"id":"doi:10.4050/sm_evtol_2025-5353","name":"Electric VTOL Aircraft in New York City: A Case Study for Community Engagement","source":"crossref","abstract":"Electric VTOL Aircraft in New York City: A Case Study for Community Engagement","url":"https://doi.org/10.4050/sm_evtol_2025-5353","authors":["Elan Head"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-07-21T15:49:59Z","doi":"10.4050/sm_evtol_2025-5353","addedAt":"2026-08-31T06:39:36.893Z","updatedAt":"2026-08-31T06:39:39.046Z"},{"id":"doi:10.5139/jksas.2025.53.12.1339","name":"Flight Load Analysis Based on Flight Envelope for eVTOL Aircraft","source":"openalex","abstract":"eVTOL 항공기의 설계 단계에서 운항 조건에 따른 비행 하중 분석을 기반으로 한 구조 해석은 필수적이다. 본 연구에서는 eVTOL 항공기의 구조 해석에 앞서 주요 구성 요소에 작용하는 비행 하중을 도출하기 위해, 미국 연방항공청이 제정한 14 CFR Part 23 부록 A와 미국재료시험 협회가 제정한 ASTM F3396/F3396M-23을 기반으로 비행포위선도를 도출하였다. 이후, eVTOL 항공기의 주익, 미익, 조종면에 대한 비행 하중을 도출하였다. 비행 하중 도출 결과, 주익에는 최대 45,160 N, 수평안정판과 수직안정판에는 각각 8,249.7 N, 5,579.3 N의 하중이 도출되었다. 조종면인 에일러론, 엘리베이터, 러더에 작용하는 비행 하중은 각각 1,035.4 N, 3,169.7 N, 1,840.5 N로 산출되었다.","url":"https://doi.org/10.5139/jksas.2025.53.12.1339","authors":["Myeong-Gi Kim","Jinho Shin","Yun-Sang Lee","Sang-Woo Kim","Moonsung Cho","Sang‐Woo Kim"],"tags":["Flight envelope","Envelope (radar)","Aerospace engineering","Structural engineering","Computer science"],"confidence":0.72,"sites":["low-altitude"],"publishedDate":"2025-12-04","doi":"10.5139/jksas.2025.53.12.1339","addedAt":"2026-08-31T06:39:36.893Z","updatedAt":"2026-08-31T14:45:35.251Z"},{"id":"doi:10.4050/f-0081-2025-0351","name":"An Analysis of Rotor-Induced Vibration on Winged eVTOL Aircraft","source":"openalex","abstract":"This study investigates the vibratory loads and stresses on an electric vertical takeoff and landing (eVTOL) aircraft featuring internal batteries and four rotors mounted on underwing booms on a semi-span wing. During low-speed forward flight (20 kts), the rotor excitation frequency is closest to the wing's second torsional mode, resulting in dominant vibratory torsional moments at the wing root. A full rotor phasing sweep reveals that relative phasing has a critical effect on peak-to-peak (P2P) wing root loads and stress levels. Selected phasing configurations are shown to reduce maximum wing root P2P principal and shear stress resultants by over 70% and 60%, respectively, compared to their mean peak-to-peak values over the phase sweep. Sensitivity analysis further indicates that increasing rotor speed shifts the dominant vibratory response from torsional to flapwise bending modes.","url":"https://doi.org/10.4050/f-0081-2025-0351","authors":["Alexander Stillman","Etana Ferede","Farhan Gandhi","Alexander N. Stillman"],"tags":["Vibration","Rotor (electric)","Aerospace engineering","Computer science","Structural engineering"],"confidence":0.72,"sites":["low-altitude"],"publishedDate":"2025-05-20","doi":"10.4050/f-0081-2025-0351","addedAt":"2026-08-31T06:39:36.893Z","updatedAt":"2026-08-31T14:45:35.251Z"},{"id":"doi:10.4050/f-0081-2025-0171","name":"Comparing Different Pilot Control Schemes for eVTOL and Powered-Lift Aircraft","source":"crossref","abstract":"This paper presents insights into a comparative approach to down-select on the most suitable pilot control schemes for eVTOL and powered-lift aircraft. The investigation examines three main areas: (1) experimental flight test performance, (2) flight control analysis, and (3) Human-Machine Interface (HMI) factors. Experiments were conducted to evaluate how various inceptor control schemes were perceived by people of various experience levels, ranging from manned aviation pilots with experience in flying F-16 jets, AH-64D helicopters and high-performance turboprop trainers, to unmanned aviation pilots of various backgrounds, such as with remote control (RC) rotorcraft and RC fixed-wing aircraft, and finally to participants with zero experience with either of these. In this experimental surveying study, all participants were briefed on a standardized mission profile and tasked to fly a VTOL drone and a computer based flight simulator using various flight control schemes. Videos were recorded for each test and reviewed for in-depth flight performance and controls scoring and analysis. At the end, feedback on key Human Machine Interface (HMI) factors for each flight control method is obtained. These results in totality provided insights, strengths and weaknesses for each flight control scheme. Upon identification of the most optimal control methodology, a novel energy-based control method to unify both multirotor drone and fixed wing aircraft control logics was developed, future testing will involve incorporating the 3+1 control inceptor scheme with the energy-based control method for further testing and optimization in a simulation environment. The goal of this study is providing a design framework to help eVTOL and powered-lift aircraft designers optimize their pilot control methodology; to become more instinctive, easier to operate, safer and more cost-effective to train new eVTOL and powered-lift pilots and operators.","url":"https://doi.org/10.4050/f-0081-2025-0171","authors":["Mir Feroskhan","Xiaoqiang Lu","James Wang","Eden Lee"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-04-10T16:56:52Z","doi":"10.4050/f-0081-2025-0171","addedAt":"2026-08-31T06:39:36.893Z","updatedAt":"2026-08-31T06:39:38.600Z"},{"id":"doi:10.4050/f-0081-2025-0212","name":"Aerodynamic Analysis Framework for eVTOL Aircraft at ERC","source":"crossref","abstract":"This paper presents an overview of the comprehensive aerodynamic framework developed at ERC for the analysis and simulation of electric vertical takeoff and landing (eVTOL) aircraft. Addressing the challenges inherent to distributed propulsion architectures and the complex transition between hover and forward flight, the methodology integrates multi-fidelity simulation tools ranging from analytical models and low-fidelity simulation to fully-resolved transient CFD. The framework addresses all phases of aircraft design and validation, and includes dedicated insight into aeroacoustics, aeroelasticity, and interactional aerodynamics problems. A modular approach is adopted, where individual phenomena are first studied in isolation before being synthesized into an aircraft model. Experimental validation through wind tunnel testing, full-scale static thrust test stand measurements, and scaled model flight tests is essential to ensuring model accuracy and validity. The paper concludes with an outlook to further enhance data generation, simulation efficiency, and fidelity in future eVTOL development programs.","url":"https://doi.org/10.4050/f-0081-2025-0212","authors":["Florian M. Heckmeier","Jan-Arun Faust","Jonathan Pflüger","Ulrich Hartmann","Marco Stuhlpfarrer"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-04-10T16:56:52Z","doi":"10.4050/f-0081-2025-0212","addedAt":"2026-08-31T06:39:36.893Z","updatedAt":"2026-08-31T06:39:38.600Z"},{"id":"doi:10.4050/f-0081-2025-288","name":"A Hover Driven Approach to eVTOL Aircraft Design","source":"crossref","abstract":"eVTOL aircraft are a stable part of nowadays rotorcraft industry, gathering attention and investments throughout all geographies. The challenge of designing such a vehicle is the necessity to combine transformative flight and distributed lifting systems. This paper presents a methodology developed within Leonardo Helicopters Division (LHD) to perform the preliminary design of eVTOLs, following an approach that starts from hovering flight, investigating the design permutations able to satisfy certain criteria of performance, maneuverability, and safety.","url":"https://doi.org/10.4050/f-0081-2025-288","authors":["Gregorio Frassoldati","Francesco Landi","Luca Caccetta"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-07-01T20:24:19Z","doi":"10.4050/f-0081-2025-288","addedAt":"2026-08-31T06:39:36.893Z","updatedAt":"2026-08-31T06:39:39.046Z"},{"id":"doi:10.1109/comea66280.2025.11241683","name":"Influence of Ice Accretion on Propeller-Wing Aerodynamic Interactions in eVTOL Aircraft","source":"crossref","abstract":"","url":"https://doi.org/10.1109/comea66280.2025.11241683","authors":["Ghulam Ishaque","Liangzhi Jiang","Junli Wang","Jian Wu","Linhao Li","Zong Lu"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-11-21T18:39:45Z","doi":"10.1109/comea66280.2025.11241683","addedAt":"2026-08-31T06:39:36.893Z","updatedAt":"2026-08-31T06:39:39.046Z"},{"id":"doi:10.2514/6.2025-0654","name":"Transition Aero-Propulsive Analysis of a Tilt-Wing eVTOL Aircraft Using a Surface-Vorticity Solver","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2025-0654","authors":["Griffin A. DiMaggio","Benjamin M. Simmons","Steven C. Geuther","Roy J. Hartfield","Vivek Ahuja"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-02-12T09:44:16Z","doi":"10.2514/6.2025-0654","addedAt":"2026-08-31T06:39:36.893Z","updatedAt":"2026-08-31T06:39:39.046Z"},{"id":"doi:10.2514/6.2025-3758","name":"Deriving the Flight Envelope and Conversion Corridor of an eVTOL Tiltrotor Aircraft Considering Battery Discharge Rate","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2025-3758","authors":["Yong-Hyeon Choi","Zin W. Thu","Dongoh Kwag","Jae W. Lee"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-07-16T21:24:43Z","doi":"10.2514/6.2025-3758","addedAt":"2026-08-31T06:39:36.893Z","updatedAt":"2026-08-31T06:39:39.046Z"},{"id":"doi:10.2514/6.2025-0070","name":"A Comparison of Meshing Strategies for Vortex Generators of eVTOL Aircraft","source":"openalex","abstract":"The design and simulation of vortex generators is challenging with traditional, unstructured RANS solvers due to both the small scale of their geometry, and of the flow structures they produce – leading to either prohibitive computational costs, or inaccurate solutions if not enough attention is given to the meshing strategy. This work uses wind tunnel data for a tapered eVTOL wing for maximum lift coefficient-oriented vortex generators as a case study for a comparison between two meshing approaches. In the first approach, a block mesh is built around a rake of vortex generators, with an unstructured, prism + tetrahedral mesh subsequently built around it for the remainder of the aircraft, maintaining connectivity across the prism layers. In the second approach, a fully unstructured prism + tetrahedral mesh is constructed for comparison with refinement regions for the tetrahedral-dominant mesh around the vortex generators, ensuring comparable refinement to the block-structured mesh. A comparison between their respective solutions shows that the fully unstructured mesh leads to a more dissipative solution in the boundary layer aft of the rake, with a quantitatively similar maximum lift coefficient deviation from the wind tunnel results. The fully unstructured mesh, however, leads to up to 30% smaller meshes with changes to the maximum lift coefficient no larger than 5 lift counts.","url":"https://doi.org/10.2514/6.2025-0070","authors":["Luisa J. Souza","Gabriel G. Santos","Pedro d. Secchi","Pedro H. Caruy Povoa","Marcello do Areal Souto Ferrari","Laís Bezerra Maciel Vieira Souza","Gabriel Gonçalves dos Santos","Marcello Ferrari"],"tags":["Vortex","Computer science","Vortex generator","Aerospace engineering","Engineering"],"confidence":0.72,"sites":["low-altitude"],"publishedDate":"2025-01-03","doi":"10.2514/6.2025-0070","addedAt":"2026-08-31T06:39:36.893Z","updatedAt":"2026-08-31T14:45:35.251Z"},{"id":"doi:10.55214/25768484.v9i1.4156","name":"Aerial e-mobility perspective: Anticipated designs and operational capabilities of eVTOL urban air mobility (UAM) aircraft","source":"crossref","abstract":"We collected data about 13 urban air mobility (UAM) electric vertical take-off and landing (eVTOL) aircraft from 12 UAM companies in the world. While none of these models has yet reached a large-scale commercial operation (particularly as air taxis), some of them progressed well in the certification process and may have their UAM models widely operated within a few years. This article focuses on the variability in the configurations of these UAM eVTOL aircraft for aerial e-mobility; such as single-fixed-wing, tandem-tilt-wing, canard wing, fixed-rotor fixed-wing, full tilt-rotor, partial tilt-rotor, V-shaped tail, tailless, twin tail, conventional tail assembly, distributed propulsion, multicopter, rear forward thrust propeller, ducted fans, and a hybrid airplane-helicopter design. The 13 UAM eVTOL aircraft covered here are: (1) EH216-S (by EHang), (2) VoloCity (by Volocopter), (3) Lilium Jet (by Lilium), (4) VoloRegion (by Volocopter), (5) CityAirbus NextGen (by Airbus), (6) Passenger Air Vehicle - PAV (by Boeing), (7) S-A2 (by Hyundai), (8) Joby (by Joby Aviation), (9) VX4 (by Vertical Aerospace Group), (10) Midnight (by Archer Aviation), (11) Eve (by Eve Air Mobility), (12) Jaunt (by Jaunt Air Mobility), and (13) Generation 6 (by Wisk Aero). Out of these 13 UAM eVTOL aircraft models for aerial e-mobility and/or air taxis, we found that 11 models utilize a wing configuration, while only two use a wingless multirotor concept (as in hobbyist drones). A fixed-wing design is associated with a faster travel speed, at the expense of added restrictions on maneuvering and low-speed travel (or hovering). Six models are intended to have an onboard human pilot, while the remaining seven models are designed to be pilotless. One model demonstrated the ability to use hydrogen as a clean source of energy through a fuel cell system.","url":"https://doi.org/10.55214/25768484.v9i1.4156","authors":["Osama A. Marzouk"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-01-09T06:28:56Z","doi":"10.55214/25768484.v9i1.4156","addedAt":"2026-08-31T06:39:36.893Z","updatedAt":"2026-08-31T06:39:56.013Z"},{"id":"doi:10.2514/6.2025-3344","name":"Large-scale MDO under uncertainty of an eVTOL aircraft using dimension reduction via global sensitivity analysis","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2025-3344","authors":["Bingran Wang","Marius L. Ruh","Aoran Tian","Luca Scotzniovsky","John T. Hwang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-07-16T21:24:43Z","doi":"10.2514/6.2025-3344","addedAt":"2026-08-31T06:39:36.893Z","updatedAt":"2026-08-31T06:39:39.046Z"},{"id":"doi:10.1109/itec63604.2025.11098036","name":"Multi-Paralleled GaN-Based Motor Drive Optimization for eVTOL Applications","source":"crossref","abstract":"","url":"https://doi.org/10.1109/itec63604.2025.11098036","authors":["Shahid Aziz Khan","Feng Zhou","DucDung Le","Mengqi Wang","Shivam Chaturvedi"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-08-05T18:00:21Z","doi":"10.1109/itec63604.2025.11098036","addedAt":"2026-08-31T06:39:36.893Z","updatedAt":"2026-08-31T06:39:39.046Z"},{"id":"doi:10.2514/6.2025-3137","name":"Aerodynamic Design and Experimental Validation of a 1/10th Scale Notional Proprotor for a 30-Seat Tilt-Rotor eVTOL Aircraft","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2025-3137","authors":["Luke Bowen","Malcolm Foster","Furqan -","Chaitanya C. Paruchuri"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-07-16T21:24:43Z","doi":"10.2514/6.2025-3137","addedAt":"2026-08-31T06:39:36.893Z","updatedAt":"2026-08-31T06:39:39.046Z"},{"id":"doi:10.2514/6.2025-2819","name":"A comparative study of uncertainty quantification methods in gust response analysis of a Lift-Plus-Cruise eVTOL aircraft wing","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2025-2819","authors":["Bingran Wang","Michael Warner","Aoran Tian","Luca Scotzniovsky","John T. Hwang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-02-12T10:03:43Z","doi":"10.2514/6.2025-2819","addedAt":"2026-08-31T06:39:36.893Z","updatedAt":"2026-08-31T06:39:39.046Z"},{"id":"doi:10.2514/1.c037964","name":"Nonlinear Aero-Propulsive Modeling for Fixed-Wing eVTOL UAV from Flight Test Data","source":"crossref","abstract":"This paper presents a methodology for constructing an aero-propulsive system identification model for a fixed-wing propeller-driven aircraft with limited flight data. Developing a flight dynamics model is an iterative process involving costly and time-consuming flight testing to collect relevant data. To maximize the utilization of available data, this study employs a time-domain system identification procedure on flight data from various maneuvers and flights. The methodology incorporates multivariate orthogonal functions to capture the nonlinear terms representing the coupled effects of the propeller and airframe dynamics. A stepwise regression is then employed to identify the most pertinent model parameters. Estimation of variables associated with the propulsive contribution is accomplished through an electrical propulsive model, identified using command and battery data from static thrust and flight tests. Aero-propulsive derivatives are determined using the output-error method, where the accuracy is assessed based on a colored noise correction. To validate the predictability of the flight dynamics model, out-of-sample data are employed. The construction of the electrical propulsive model and identification of aerodynamic derivatives from flight data were specifically carried out for a particular eVTOL flight test vehicle; however, the techniques employed are generalizable and applicable to other aircraft models.","url":"https://doi.org/10.2514/1.c037964","authors":["João C. Figueira","Sean Bazzocchi","Stephen Warwick","Afzal Suleman"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-11-19T01:16:37Z","doi":"10.2514/1.c037964","addedAt":"2026-08-31T06:39:36.893Z","updatedAt":"2026-08-31T06:39:39.046Z"},{"id":"doi:10.1115/1.4066820","name":"Design and Simulation of eVTOL Aircraft Thermal Management System","source":"crossref","abstract":"Abstract This paper focused on designing a thermal management system (TMS) for a parallel hybrid electric (PHE) XV-15 tiltrotor aircraft used in urban air mobility (UAM) applications. The TMS is integrated into the aircraft system to assess its impact at aircraft and mission levels. Both liquid cooling and air-cooling TMS, along with using phase change materials (PCMs) for heat storage, were designed and assessed. Two liquid-cooling configurations, series and parallel, were evaluated, with the series configuration proving more effective in the considered test cases. The study compared hover and cruise conditions to determine optimal design point for the liquid-cooling TMS. Designing for hover resulted in about fourfold increase in the TMS penalty in fuel burn during cruise. Designing for cruise, on the other hand, proved infeasible to comply with the thermal management requirements during hover. Two approaches were explored to address this: Approach A involves adding PCMs as a heat storage system and approach B entailed redesigning the TMS with the heat load at off-design conditions for the inverter and motor. Both approaches resulted in a 24% and 46% increase in the TMS penalty in fuel burn compared to the design that solely considering cruise condition, respectively. The assessment of the designed aircraft systems, integrating the TMS for the considered test cases, revealed that the liquid-cooling TMS designed at cruise condition with Approach B emerged as the optimal design, showcasing a 42% improvement in fuel burnt per payload compared to the air-cooling TMS at the mission level.","url":"https://doi.org/10.1115/1.4066820","authors":["Sangkeun Kang","Chana Anna Saias","Ioannis Roumeliotis","Olivier Broca"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-10-11T09:26:51Z","doi":"10.1115/1.4066820","addedAt":"2026-08-31T06:39:36.893Z","updatedAt":"2026-08-31T06:39:38.600Z"},{"id":"doi:10.1049/icp.2024.2894","name":"Research on the evaluation method of pilot workload in EVTOL aircraft operation","source":"openalex","abstract":"In the study of pilot control strategies for manned eVTOL aircraft, it is essential to delve into the workload imposed by pilot control. Such an inquiry can facilitate the identification of more rational and efficacious control strategies, thereby alleviating the strain on pilots. So far, the Cooper-Harper rating (HQR, Handling Quality Rating) is still the main standard for analyzing pilot control workload. However, this subjective evaluation often makes it difficult to determine the main factors and their impact accurately and quantitatively on the control workload. This paper introduces an assessment technique for the workload of pilot control, utilizing wavelet transformation to account for the correlation between the intensity of pilot control, its frequency constituents, and the associated level of control challenge. Initially, the paper offers a concise overview of the methodologies for analyzing control actions, encompassing both temporal and spectral perspectives. Then, we evaluate the pilot control workload using actual pilot control inputs and HQR ratings from a helicopter flight test. The results indicate that the wavelet analysis based on time-frequency representation can identify the frequency components and energy levels of pilot control actions at different time points. Furthermore, a correlation is identified between the amplitude of pilot control inputs, their frequency components, and the HQR ratings.","url":"https://doi.org/10.1049/icp.2024.2894","authors":["Xufei Yan","Longfei Zhao","Yanan Han","Renliang Chen"],"tags":["Workload","Aeronautics","Computer science","Reliability engineering","Engineering"],"confidence":0.72,"sites":["low-altitude"],"publishedDate":"2025-01-01","doi":"10.1049/icp.2024.2894","addedAt":"2026-08-31T06:39:36.893Z","updatedAt":"2026-08-31T14:45:35.251Z"},{"id":"doi:10.1088/1742-6596/3044/1/012003","name":"The Research on Compliance Verification Methods for Lightning Protection of eVTOL Aircraft","source":"crossref","abstract":"Abstract The emergence of eVTOL aircraft has sparked extensive research both domestically and internationally. However, the field is still in its early stages, facing numerous challenges in terms of technological advancements and airworthiness certification. While considerable research has been conducted in areas such as flight control, power systems, and flight stability, there remains relatively limited attention given to lightning protection for eVTOL aircraft and related compliance verification methods. Given the unique flight characteristics, innovative structural configurations, and widespread use of composite materials in eVTOL designs, the likelihood of lightning strikes has significantly increased. As a result, lightning protection has become a critical barrier to achieving airworthiness. This paper provides an in-depth analysis of the main areas of concern regarding lightning protection for eVTOL aircraft, with a particular focus on the protection needs of composite material structures, batteries, motors, and electronic systems. Additionally, it proposes comprehensive compliance verification methods for both direct and indirect lightning effects, aimed at ensuring the airworthiness of these emerging aircraft, and concludes with recommendations for lightning strike protection.","url":"https://doi.org/10.1088/1742-6596/3044/1/012003","authors":["ZY Ma","Bin Li","ZB Duan"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-07-03T16:16:43Z","doi":"10.1088/1742-6596/3044/1/012003","addedAt":"2026-08-31T06:39:36.893Z","updatedAt":"2026-08-31T06:39:39.046Z"},{"id":"doi:10.2514/6.2025-3758.c1","name":"Correction: Deriving the Flight Envelope and Conversion Corridor of an eVTOL Tiltrotor Aircraft Considering Battery Discharge Rate","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2025-3758.c1","authors":["Yong-Hyeon Choi","Zin W. Thu","Dongoh Kwag","Jae W. Lee"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-08-18T20:48:01Z","doi":"10.2514/6.2025-3758.c1","addedAt":"2026-08-31T06:39:36.893Z","updatedAt":"2026-08-31T06:39:39.046Z"},{"id":"doi:10.3390/engproc2026150102","name":"Wind Tunnel Experiment and Analysis of Aerodynamic Characteristics of eVTOL Aircraft","source":"openalex","abstract":"This report presents an experimental study focused on parametric optimization of an electric vertical take-off and landing (eVTOL) wing–propeller lifting system. The experiments were conducted in a wind tunnel equipped with a Particle Image Velocimetry (PIV) system, and a wing–propeller thrust and power measurement test stand was used. The total mission flight energy was evaluated and compared for three different propeller-to-wing gross area ratios and three mission profiles. Two principal configurations of the wing–propeller lifting system were considered, corresponding to the hovering and cruising stages of flight. In these configurations, both the propellers and the tilting wing sections were oriented according to the requirements of hover and cruise operation. The total flight energy was adopted as the figure of merit and was calculated for all design points. The figure of merit was then analyzed as a function of the propeller-to-wing gross area ratio. The results allowed the determination of optimal configurations for different hover times. Finally, the total flight energy obtained from the experiments was calculated and compared with the corresponding simulation results.","url":"https://doi.org/10.3390/engproc2026150102","authors":["Martin Zikyamov","Hristian Panayotov","Stanimir Penchev"],"tags":["Wind tunnel","Thrust","Marine engineering","Aerodynamics","Aerospace engineering"],"confidence":0.72,"sites":["low-altitude"],"publishedDate":"2026-07-30","doi":"10.3390/engproc2026150102","addedAt":"2026-08-31T06:39:36.893Z","updatedAt":"2026-08-31T14:45:35.251Z"},{"id":"doi:10.26678/abcm.cobem2025.cob2025-1442","name":"Conceptual Design of a Tiltrotor eVTOL Aircraft for Urban Air Mobility","source":"crossref","abstract":"","url":"https://doi.org/10.26678/abcm.cobem2025.cob2025-1442","authors":["Lucas Lira Sassett","Bruno Fernandez Rodrigues de Sousa","Marcos Daniel de Freitas Awruch"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-01-29T13:58:08Z","doi":"10.26678/abcm.cobem2025.cob2025-1442","addedAt":"2026-08-31T06:39:36.893Z","updatedAt":"2026-08-31T06:39:52.574Z"},{"id":"doi:10.1016/j.energy.2025.136229","name":"Energy consumption modeling and optimization of an eVTOL aircraft: Integrating weight, motor, and battery dynamics","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.energy.2025.136229","authors":["Wei Li","Rongguo Cheng","Haihong Huang","Akhil Garg","Liang Gao"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-04-18T02:39:45Z","doi":"10.1016/j.energy.2025.136229","addedAt":"2026-08-31T06:39:36.893Z","updatedAt":"2026-08-31T06:39:39.046Z"},{"id":"doi:10.1109/itec63604.2025.11098154","name":"Feasibility Analysis of Utilizing Second-Life Evtol Batteries in Off-Grid Ev Charging Stations","source":"crossref","abstract":"","url":"https://doi.org/10.1109/itec63604.2025.11098154","authors":["Mariana Haddadin","Mohammad Qasem","Yazan Yassin","Said Al-Hallaj","Mahesh Krishnamurthy"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-08-05T18:00:21Z","doi":"10.1109/itec63604.2025.11098154","addedAt":"2026-08-31T06:39:36.893Z","updatedAt":"2026-08-31T06:39:39.046Z"},{"id":"doi:10.1088/1742-6596/3169/1/012080","name":"An integrated RL–adaptive control framework for stable transition of tilt-rotor eVTOL aircraft","source":"crossref","abstract":"Abstract The transition flight of tilt-rotor eVTOL UAVs is one of the most critical and challenging phases because the aircraft must switch from rotor-borne lift to wing-borne lift while managing strong aerodynamic coupling and external disturbances. To address this, this paper proposes an integrated control framework that combines reinforcement learning (RL) with adaptive control. RL provides high-level policy decisions, while adaptive control gives real-time parameter adjustment to compensate for uncertainties. The framework is built on a CFD-informed simplified model, where aerodynamic data from ANSYS Fluent are used to calibrate thrust allocation and dynamic equations. The UAV model has a mass of 3 kg, a span of 1.66 m, and eight rotors of 0.26 m diameter. Simulations include an inflow velocity of 10 m/s, an angle of attack of 5°, and a rotor speed of 8000 RPM, with the k - ω SST model applied. Residuals converge to the order of 10 −4− 10 −3 , ensuring stable numerical solutions. Two representative operating points are examined: a hover-like case with total lift ≈ 313 N and drag ≈ 12.9 N, and a low-speed forward case with total lift ≈ 240 N and drag ≈ –82.8 N. Rotor loads are consistent and balanced across conditions, supporting robust thrust allocation. Flow-field visualizations highlight wake interference and tip vortex structures, which validate the need for adaptive compensation. The integrated RL ＋ adaptive controller achieves smoother transition, lower tracking error, and reduced power consumption compared to PID and standalone adaptive methods. These results demonstrate that the proposed strategy improves both stability and efficiency, and they provide a reliable foundation for software-in-the-loop and future hardware-in-the-loop testing.","url":"https://doi.org/10.1088/1742-6596/3169/1/012080","authors":["Zhaonan Zuo","Shang Gao","Yifei Jia","Gang Wang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-01-08T06:07:24Z","doi":"10.1088/1742-6596/3169/1/012080","addedAt":"2026-08-31T06:39:36.893Z","updatedAt":"2026-08-31T06:39:39.046Z"},{"id":"doi:10.1115/1.4067673","name":"Design and Analysis of a Liftfan for eVTOL Aircraft","source":"crossref","abstract":"Abstract Ducted liftfans provide greater hovering efficiency to electric vertical take-off and landing aircraft than open propellers of equal disk area. Liftfans are designed with minimized length to limit propulsor weight added and drag incurred during forward flight. Three challenges posed by the liftfan propulsor configuration are addressed in this paper. First, instead of a single-row propeller, liftfans require the design of a fully integrated stage. To maximize the hovering figure of merit, a non-dimensional measure of power consumption, the preliminary and 3D design variables of the rotor and splittered diffuser stator rows are optimized simultaneously using 3D computational fluid dynamics (CFD). The resulting prototype liftfan design is validated through experimental testing. Second, despite efficiency improvements during hover, liftfans sustain additional inlet distortion and drag during forward flight due to their surrounding nacelles. A low-order model is developed to investigate the maximum range for different fan designs with varying diffuser area ratios and forward flight tilt angles. Design selections are validated using full annulus, 3D CFD, and experimental wind tunnel tests. Third, as the electric motors of liftfans are mounted within the hub, fan-driven active cooling is necessary to prevent overheating. The stagnation pressure losses incurred by cooling airflow must be minimized without impeding heat transfer. Low-order models are developed to predict motor heat transfer and loss and to guide the design of a mixed-flow cooling fan. Experimental testing and 3D CFD simulations confirm that the addition of forward sweep and adoption of a high blade count can reduce cooling fan losses.","url":"https://doi.org/10.1115/1.4067673","authors":["R. D. Hine","D. R. Cousins","L. Maden","S. J. Walker","N. R. Atkins","S. D. Grimshaw","J. V. Taylor"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-01-15T12:21:34Z","doi":"10.1115/1.4067673","addedAt":"2026-08-31T06:39:36.893Z","updatedAt":"2026-08-31T06:39:39.046Z"},{"id":"doi:10.1061/jaeeez.aseng-6131","name":"Experimental Study of the Rotor–Arm Interaction Noise in Single and Contra-Rotating Rotors of eVTOL Aircraft","source":"crossref","abstract":"","url":"https://doi.org/10.1061/jaeeez.aseng-6131","authors":["Boyang Jia","Weipeng Li"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-03-20T14:37:56Z","doi":"10.1061/jaeeez.aseng-6131","addedAt":"2026-08-31T06:39:36.893Z","updatedAt":"2026-08-31T06:39:39.046Z"},{"id":"doi:10.1088/1742-6596/3044/1/012001","name":"A Yaw-roll Coupling Suppression Control Method for eVTOL Aircraft with Nonuniform Propulsion Layout","source":"openalex","abstract":"Abstract In recent years, electric vertical take-off and landing (eVTOL) aircraft have become a primary focus in urban air mobility research. eVTOL aircraft integrate the advantages of multirotor and fixed-wing designs, enabling vertical take-off and landing as well as efficient long-range cruising, thereby offering substantial research value. During vertical take-off and landing, their control resembles that of multirotor aircraft; however, the nonuniform propulsion layout and large inertia induce yaw-roll coupling during yaw maneuvers. Additionally, yaw control via differential rotor speed is inefficient, often leading to actuator saturation and increased risks of attitude instability. To address these challenges, this study derives the yaw motion dynamics for eVTOL with nonuniform propulsion layout and proposes a yaw control law with cross-coupling compensation to mitigate attitude coupling during yaw maneuvers. A simplified approach is introduced, leveraging pseudo-control command saturation design to maintain stability at high yaw angular velocities. Compared to methods based on the convex optimization algorithm or the redistributed pseudo-inverse algorithm, the proposed method reduces computational complexity and is readily applicable to practical flight scenarios. Simulation results demonstrate that the proposed approach effectively mitigates attitude coupling in yaw movements and expands the range of achievable yaw angular velocity commands.","url":"https://doi.org/10.1088/1742-6596/3044/1/012001","authors":["Xu Ni","Mingkai Wang","Xuejun Li","Shuguang Zhang"],"tags":["Propulsion","Control theory (sociology)","Coupling (piping)","Automotive engineering","Control (management)"],"confidence":0.72,"sites":["low-altitude"],"publishedDate":"2025-06-01","doi":"10.1088/1742-6596/3044/1/012001","addedAt":"2026-08-31T06:39:36.893Z","updatedAt":"2026-08-31T14:45:35.251Z"},{"id":"doi:10.4050/f-0081-2025-0399","name":"Multi-Axis Active Vibration Damping Using Electric Rotor Torque with Pitch-Lag Coupling in eVTOL Aircraft: Demonstration of Concept","source":"crossref","abstract":"Active vibration damping by rotor torque modulation has been demonstrated for vibratory modes in the rotor disk plane. In this study, we introduce a simple, first-principles model, which includes kinematic coupling between lag movement and blade pitch, in order to extend damping authority to strut vibratory modes normal to the rotor disk plane. Using a medium-sized (12kg) quadcopter drone model, we demonstrate the capability to excite strut vibrations normal to the rotor disk plane, indicating control authority for vibration damping. For this vehicle model, a steady state strut deflection of over 12% is obtained using a 15% voltage perturbation, with under 2% rotor speed change. Redesign of the vehicle to have lower and/or co-located lag and structural frequencies increases the control authority of rotor torque actuation with pitch-lag coupling.","url":"https://doi.org/10.4050/f-0081-2025-0399","authors":["Alexei Severnyak","Edward Smith","Christopher Rahn"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-04-10T16:56:52Z","doi":"10.4050/f-0081-2025-0399","addedAt":"2026-08-31T06:39:36.893Z","updatedAt":"2026-08-31T06:39:39.047Z"},{"id":"doi:10.1115/1.4069950","name":"Battery State Estimation for High Power Safety Critical Settings With Application to eVTOL Aircraft","source":"crossref","abstract":"Abstract In electric vertical takeoff and landing (eVTOL) aircraft applications, a major function of the battery management system is to provide estimates of battery state of power (SOP) to the pilot. These algorithms are predictive in nature, and their accuracy relies on the accuracy of the underlying predictive model and the initial conditions. Here, we focus on how the initialization, often provided through a state of charge (SOC) estimator, can profoundly impact SOP estimation. We use the extended Kalman filter (EKF) framework to design an estimator for a recently proposed equivalent circuit model (ECM) for eVTOL applications. We demonstrate that in contrast with electric vehicles, high power applications such as eVTOL are clearly influenced by internal states beyond just the SOC and that a holistic approach is needed in designing the state estimator to ensure satisfactory performance. Evaluation on over 1000 experimental eVTOL flight profiles underlines the utility of the proposed state estimation in reducing the uncertainty in an application-specific SOP prediction error by more than 60% compared to open-loop predictions.","url":"https://doi.org/10.1115/1.4069950","authors":["Alireza Goshtasbi","Ruxiu Zhao","Jeremy Neubauer"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-09-26T14:12:16Z","doi":"10.1115/1.4069950","addedAt":"2026-08-31T06:39:36.893Z","updatedAt":"2026-08-31T06:39:38.600Z"},{"id":"doi:10.4050/f-0081-2025-0386","name":"Infrastructure Design Criteria for Accommodating Hydrogen Electric Vertical and Takeoff Landing (H\n                    <sub>2</sub>\n                    eVTOL) Aircraft Technologies at Vertiports","source":"crossref","abstract":"Hydrogen-electric vertical takeoff and landing (H2eVTOL) (or fuel cell-electric VTOL) aircraft technologies are poised to emerge in the next coming decades and start operating from existing heliports and new vertiports. This paper assesses how key H2eVTOL design features interact with the ground infrastructure and how facility designers can address H2eVTOL specific facility requirements–especially the supply of hydrogen to the aircraft. Vertiport design should maximize compatibility are important to facilitate the accommodation of hydrogen technologies, minimize the need for extensive capital investments, and promote safety and operational efficiency. Considerations should be given to factors such as general aircraft configuration, electric and hybrid propulsion systems, and refueling infrastructure. The definition of notional aircraft concepts representing the evolution of critical VTOL aircraft over the next coming decades can help aviation facility planners and designers understand the type of vehicles they need to account for and also evaluate the future hydrogen demand. The lack of aviation-specific standards, especially when it comes to fire prevention, might adversely impact vertiports. Strategies are proposed for mitigating the effects of hydrogen operations at space-constrained facilities.","url":"https://doi.org/10.4050/f-0081-2025-0386","authors":["Gaël Le Bris","Loup-Giang Nguyen"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-04-10T16:56:52Z","doi":"10.4050/f-0081-2025-0386","addedAt":"2026-08-31T06:39:36.893Z","updatedAt":"2026-08-31T06:39:39.047Z"},{"id":"doi:10.4050/sm_avtol_2025-5312","name":"Enhancing Yaw Control Authority and Resilience for eVTOL Aircraft through Rotor Canting Configuration","source":"openalex","abstract":"Maximizing yaw control authority is a critical challenge in the design of electric vertical takeoff and landing (eVTOL) aircraft, as it directly affects stability and maneuverability during hover, transition, and cruise. With distributed electric propulsion at the core of modern eVTOL designs, innovative strategies such as rotor canting offer new avenues to enhance yaw control authority. This study investigates how lateral and longitudinal rotor cant angles can be leveraged to improve yaw control authority in an eight-rotor, lift-plus-cruise eVTOL configuration. By systematically comparing multiple rotor spin configurations and performing sensitivity analyses with incremental cant angles, we establish the relationship between cant geometry and yaw control authority. Our results suggest that orthogonal canting yields superior yaw control authority by effectively maximizing moment generation, thereby enhancing eVTOL resilience in challenging flight conditions.","url":"https://doi.org/10.4050/sm_avtol_2025-5312","authors":["Archit Kamath","T. Thanaraj","Xiaoqiang Lu","James Wang","Mir Feroskhan"],"tags":["Control theory (sociology)","Rotor (electric)","Control (management)","Yaw","Takeoff"],"confidence":0.72,"sites":["low-altitude"],"publishedDate":"2025-02-03","doi":"10.4050/sm_avtol_2025-5312","addedAt":"2026-08-31T06:39:36.893Z","updatedAt":"2026-08-31T14:45:35.251Z"},{"id":"doi:10.4050/f-0081-2025-0359","name":"Enabling Novel Collaborative Control Paradigms between Humans and Machines in Electric Vertical Takeoff and Landing (eVTOL) Aircraft","source":"crossref","abstract":"Electric Vertical Takeoff and Landing (eVTOL) vehicles undergoing advanced air mobility (AAM) operations feature increasingly autonomous systems (IAS) with non-traditional role allocations. Ensuring the safety of these operations and their novel human–machine teaming (HMT) paradigms requires an appropriate body of knowledge created through relevant, reproducible research. In this paper, we briefly examine the meaning of teaming; current regulation, standards, and guidance; and the knowledge required to build resilient HMTs before turning our attention to how this knowledge is being created by recent research and what conclusions or recommendations can be made. We identify the need for further research into the holistic performance of HMTs, the effect of novel allocations of roles between humans and machines, the ability of humans to provide resilience to unforeseen dangers when acting as a part of these teams; and the characteristics required for clear, timely, and accurate communication between the humans and machines. This work is done in the context of eVTOL aircraft with an indirect flight control system (IFCS) undergoing urban air mobility operations.","url":"https://doi.org/10.4050/f-0081-2025-0359","authors":["Natasha Neogi","Mallory Graydon","Jon Holbrook","Jeffrey Maddalon","Frank McCormick"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-04-10T16:56:52Z","doi":"10.4050/f-0081-2025-0359","addedAt":"2026-08-31T06:39:36.893Z","updatedAt":"2026-08-31T06:39:39.047Z"},{"id":"doi:10.1109/icns69853.2026.11570454","name":"eVTOL Aircraft Energy Overhead Estimation under Conflict Resolution in High-Density Airspaces","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icns69853.2026.11570454","authors":["Alex Zongo","Peng Wei"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-06-24T19:48:08Z","doi":"10.1109/icns69853.2026.11570454","addedAt":"2026-08-31T06:39:36.893Z","updatedAt":"2026-08-31T06:39:38.599Z"},{"id":"doi:10.4050/f-0081-2025-0220","name":"Flight-Test System Identification Methodology and Hover Results for a Vectored-Thrust eVTOL Aircraft","source":"crossref","abstract":"This paper describes an ongoing aircraft system identification effort for an industry prototype electric vertical takeoff and landing (eVTOL) vehicle. Building on previous eVTOL aircraft system identification developments in windtunnel testing and flight simulations, an approach to modeling from flight-test data is formulated for the AIBOT 500 aircraft. The full system identification process is presented, including the experiment design, flight data collection, and model identification steps. Orthogonal phase-optimized multisine programmed test inputs are integrated into the flight control system and are applied to each control surface and propulsor simultaneously to efficiently collect informative flight data for model identification. Initial modeling results are given in hover, where an aero-propulsive model is identified using the equation-error method in the frequency domain. The presented results demonstrate the utility of the modeling approach and are compared to FLIGHTLAB® predictions executed using a dynamic wake model made prior to conducting flight testing. Practical techniques and recommended improvements are discussed to inform future flight-test system identification efforts for eVTOL aircraft.","url":"https://doi.org/10.4050/f-0081-2025-0220","authors":["Benjamin Simmons","Andrew Rapsomanikis","George Jacobellis","NK Ofodile","Thomas Hamilton","Max Ma"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-04-10T16:56:52Z","doi":"10.4050/f-0081-2025-0220","addedAt":"2026-08-31T06:39:36.893Z","updatedAt":"2026-08-31T06:39:39.047Z"},{"id":"doi:10.1007/978-3-031-96732-0_72","name":"Urban Air Mobility and Infrastructure for eVTOL Aircraft: A Review","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-031-96732-0_72","authors":["Shiwen Huang","Mingwei Hu","Wenkang Liao"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-10-21T17:34:23Z","doi":"10.1007/978-3-031-96732-0_72","addedAt":"2026-08-31T06:39:36.893Z","updatedAt":"2026-08-31T06:39:57.841Z"},{"id":"doi:10.4050/f-0081-2025-0161","name":"Subscale Tiltrotor eVTOL Aircraft Dynamic Modeling and Flight Control Software Development","source":"crossref","abstract":"This paper describes the dynamic modeling and flight control software development efforts for a subscale tiltrotor electric vertical takeoff and landing (eVTOL) aircraft built at NASA Langley Research Center. The vehicle, referred to as the Research Aircraft for eVTOL Enabling techNologies (RAVEN) SubscaleWind-Tunnel and Flight Test (SWFT) model, serves as a flight dynamics and controls research testbed to foster advances in eVTOL aircraft technology. After fabricating the vehicle, wind-tunnel testing was conducted to identify a high-fidelity aero-propulsive model for use in a flight dynamics simulation enabling flight control system development. The RAVEN-SWFT aircraft subsequently underwent flight-test risk reduction steps and then free flight testing employing custom research flight control software. The flight control software, which can be efficiently updated and tested on the vehicle, includes a robust model-based control algorithm and an extensive programmed test input injection capability. The progress of RAVEN-SWFT research activities will be summarized alongside the associated modeling and flight control software development aspects, including the flight dynamics simulation, flight control system architecture, vehicle integration, and testing approaches.","url":"https://doi.org/10.4050/f-0081-2025-0161","authors":["Benjamin Simmons","Kasey Ackerman","Garrett Asper","Matthew Gray","Steven Snyder","Rachel Axten","Steven Geuther","Ryan Chan"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-04-10T16:56:52Z","doi":"10.4050/f-0081-2025-0161","addedAt":"2026-08-31T06:39:36.893Z","updatedAt":"2026-08-31T06:39:39.047Z"},{"id":"doi:10.54941/ahfe1006771","name":"Towards the Future of Air Travel: Public Perceptions on eVTOL Aircraft and Service Design","source":"crossref","abstract":"Commercial interest in Electric Vertical Take-off and Landing (eVTOL) aircraft is accelerating, yet user perspectives on aircraft design and service models remain underexplored. Early integration of these insights is critical to ensuring successful implementation and public acceptance of this emerging transport mode. An interview study was conducted with 33 participants who attended the Farnborough International Airshow 2022, UK. Uniquely, participants had physical access to a production-size model of Supernal LLC’s SA-1 eVTOL aircraft during the interviews. Given the novelty of eVTOLs, this was of significant methodological benefit to the study. Thematic coding and analysis of the interviews using two independent researchers was conducted, resulting in two distinct thematic groupings of participants: 1) eVTOLs as a service, and 2) eVTOLs on demand. Importantly, across the two groups, there were significant differences in the perceptions towards the physical design of the eVTOL and its purpose, impacting scheduling, seat capacity, set layout, and pilot interactions. These significant findings around the design of the aircraft and service should be used in conjunction with the growing body of literature on eVTOL implementation to ensure the successful implementation of future eVTOLs and wider shared mobility services.","url":"https://doi.org/10.54941/ahfe1006771","authors":["Arun Ulahannan","Charlotte Collins","Michael Lombardo","Christina Kang","Stewart Birrell"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-08-17T20:41:41Z","doi":"10.54941/ahfe1006771","addedAt":"2026-08-31T06:39:36.893Z","updatedAt":"2026-08-31T06:39:39.046Z"},{"id":"doi:10.2139/ssrn.5358384","name":"Performance Analysis of Hybrid Thermal Management System Integrating Air-Cooling Topology Fin and Phase Change Material for Evtol Aircraft Battery","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.5358384","authors":["Weijie Dong","Junjie Shen","Yuanping Xu","Zhihao Wu","Xiaobin Xu","Yu Long","Xiaolin Wang","Fei Zhou"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-07-19T16:37:09Z","doi":"10.2139/ssrn.5358384","addedAt":"2026-08-31T06:39:36.893Z","updatedAt":"2026-08-31T06:39:39.046Z"},{"id":"doi:10.1007/978-981-95-3025-0_17","name":"Design of Low-Power Flight Control Computer for eVTOL Aircraft","source":"openalex","abstract":"","url":"https://doi.org/10.1007/978-981-95-3025-0_17","authors":["Sheng Han","Jvping Yang","Dong Wang","Hang Tong"],"tags":["Reliability (semiconductor)","Computer science","Reliability engineering","Power consumption","Energy consumption"],"confidence":0.72,"sites":["low-altitude"],"publishedDate":"2025-11-08","doi":"10.1007/978-981-95-3025-0_17","addedAt":"2026-08-31T06:39:36.893Z","updatedAt":"2026-08-31T14:45:35.251Z"},{"id":"doi:10.1007/s42405-024-00773-x","name":"Enhancing Human Comfort in eVTOL Aircraft Assisted by Control Moment Gyroscopes","source":"crossref","abstract":"Abstract This study investigates the integration of Control Moment Gyroscopes (CMGs) to enhance the comfort of human occupants in electric Vertical Take-Off and Landing (eVTOL) aircraft. Our study encompasses not only the development of a dynamic model for the eVTOL by integrating the CMGs but also the implementation of backstepping sliding mode-based controllers for translation and attitude control. To simulate realistic disturbance scenarios, wind disturbance models and a motor dynamics model are considered to replicate practical rotor responses. To validate the performance of the proposed approach, comprehensive Monte-Carlo simulations under varying wind conditions are performed. In particular, the aircraft oscillations are analyzed in the frequency domain to focus on a specific frequency that causes human discomfort. The simulation results demonstrate that the use of CMGs not only alleviates oscillations induced by wind disturbances with low power consumption but also significantly enhances passenger comfort.","url":"https://doi.org/10.1007/s42405-024-00773-x","authors":["Sameer Bhalla","Donghoon Kim","Daegyun Choi"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-07-19T14:02:06Z","doi":"10.1007/s42405-024-00773-x","addedAt":"2026-08-31T06:39:36.893Z","updatedAt":"2026-08-31T06:39:39.046Z"},{"id":"doi:10.4050/sm_avtol_2025-5337","name":"Novel Human Factors Challenges, Unexpected Events, and Safety Hazards Associated with Operation of Battery-powered eVTOL Aircraft","source":"crossref","abstract":"As the AAM industry approaches its respective takeoff, novel dimensions of aircraft design, including propulsion systems and pilot interfaces, have emerged. These new and often complex dimensions result in operations differing from traditional aviation contexts, with the potential to influence pilot behavior and decision-making (Mendolia et al., 2022). There are also novel safety-critical events that pilots must be prepared to cope with on battery-powered aircraft. To examine these issues, we conducted an interview study with 11 pilots and engineers who have either flown, worked on, or conducted research pertaining to electrically powered aircraft. During the interview process, the participants were asked to describe and identify novel events pilots would face on electric aircraft, factors that would influence their decisions regarding power management, and challenges associated with transitioning to electric aircraft. We then conducted a qualitative analysis in which we identified themes that emerged across the interview responses related to the previous categories.","url":"https://doi.org/10.4050/sm_avtol_2025-5337","authors":["Kendall Carmody","Bhoomin Chauhan","Maureen Namukasa","Yarisse Adorno","Meredith Caroll"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-07-20T22:41:46Z","doi":"10.4050/sm_avtol_2025-5337","addedAt":"2026-08-31T06:39:36.893Z","updatedAt":"2026-08-31T06:39:39.468Z"},{"id":"doi:10.4050/f-0081-2025-0017","name":"Development and Integration of Flight Dynamics Models for Study of eVTOL Aircraft in the NASA Vertical Motion Simulator","source":"crossref","abstract":"A piloted simulation study in the Vertical Motion Simulator at NASA Ames Research Center will investigate the handling and ride qualities of eVTOL configurations (lift-plus-cruise and tiltwing) for both civilian and military applications. The flight dynamics models were developed in the FLIGHTLAB modeling and analysis software environment, while explicit model-following control laws and high-fidelity powertrain models were developed in Simulink. The Joint Input-Output method was used to generate frequency responses for linear model verification, as the control effectors are highly correlated for these types of vehicles. The linear models were verified for the frequency range of interest for handling qualities. Once verified and tested individually, the three parts (flight dynamics model, control laws, and powertrain) will be integrated into the Vertical Motion Simulator for piloted simulation evaluations.","url":"https://doi.org/10.4050/f-0081-2025-0017","authors":["David Caudle","Raghuvir Singh","Samuel Nadell","Tom Berger","Carlos Malpica","Peter Suh"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-04-10T16:56:52Z","doi":"10.4050/f-0081-2025-0017","addedAt":"2026-08-31T06:39:36.893Z","updatedAt":"2026-08-31T06:39:39.047Z"},{"id":"doi:10.1007/978-981-97-9768-4_18","name":"Design and Modelling of Distributed Integrated Modular Avionics (IMA) on an eVTOL Aircraft","source":"openalex","abstract":"","url":"https://doi.org/10.1007/978-981-97-9768-4_18","authors":["Wenting Ren","Xu He","Yue Wang","Wei Ren","He Xu"],"tags":["Avionics","Integrated modular avionics","Modular design","Aerospace engineering","Computer science"],"confidence":0.72,"sites":["low-altitude"],"publishedDate":"2025-01-01","doi":"10.1007/978-981-97-9768-4_18","addedAt":"2026-08-31T06:39:36.893Z","updatedAt":"2026-08-31T14:45:35.251Z"},{"id":"doi:10.1109/icm46511.2021.9385670","name":"Observer-based Angle of Attack Estimation for Tilt-Wing eVTOL Aircraft","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icm46511.2021.9385670","authors":["Kentaro Yokota","Hiroshi Fujimoto","Hiroshi Kobayashi"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2021-03-30T21:25:37Z","doi":"10.1109/icm46511.2021.9385670","addedAt":"2026-08-31T06:39:36.893Z","updatedAt":"2026-08-31T06:39:38.600Z"},{"id":"doi:10.1016/j.urbmob.2025.100102","name":"A framework for ranking potential cities for implementing emerging urban mobility technologies: A case study for eVTOL aircraft","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.urbmob.2025.100102","authors":["Felix Spühler","Kristian Siebenrock","Ivan Terekhov","Dirk C. Mattfeld"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-02-02T10:24:04Z","doi":"10.1016/j.urbmob.2025.100102","addedAt":"2026-08-31T06:39:36.893Z","updatedAt":"2026-08-31T06:39:52.574Z"},{"id":"doi:10.3850/978-981-94-3281-3_esrel-sra-e2025-p9886-cd","name":"Adaptive predictive Maintenance for the Batteries of Electric Vertical Take-off and Landing (eVTOL) Aircraft using Remaining Useful Life prognostics","source":"crossref","abstract":"","url":"https://doi.org/10.3850/978-981-94-3281-3_esrel-sra-e2025-p9886-cd","authors":["Mihaela Mitici","Simon van Oosterom"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-10-10T08:19:37Z","doi":"10.3850/978-981-94-3281-3_esrel-sra-e2025-p9886-cd","addedAt":"2026-08-31T06:39:36.893Z","updatedAt":"2026-08-31T06:39:39.468Z"},{"id":"doi:10.2514/6.2023-1331","name":"Landing Framework and Control for EVTOL Aircraft in Urban Environments","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2023-1331","authors":["Taizo Meyer-Oehme","Kilian Ginnell","David E. Lampl","Sophie F. Armanini"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-01-21T02:53:36Z","doi":"10.2514/6.2023-1331","addedAt":"2026-08-31T06:39:36.893Z","updatedAt":"2026-08-31T06:39:38.600Z"},{"id":"doi:10.2514/6.2026-2280","name":"Flight Mission Modeling of eVTOL and eCTOL Commuter Aircraft","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2026-2280","authors":["Joon Vin Kwak","Tarun Venkatesh","Marty K. Bradley","Mitul Luhar","Saakar Byahut"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-02-03T07:51:02Z","doi":"10.2514/6.2026-2280","addedAt":"2026-08-31T06:39:36.893Z","updatedAt":"2026-08-31T06:39:38.599Z"},{"id":"doi:10.5302/j.icros.2024.23.0206","name":"Analysis of Yaw-axis Control Performance According to Motor Canted Angle of eVTOL Aircraft","source":"crossref","abstract":"","url":"https://doi.org/10.5302/j.icros.2024.23.0206","authors":["Do-Won Jeong","Byeong-Ju Kim","Jung-Ho Moon"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-02-08T08:13:35Z","doi":"10.5302/j.icros.2024.23.0206","addedAt":"2026-08-31T06:39:36.893Z","updatedAt":"2026-08-31T06:39:38.600Z"},{"id":"doi:10.12968/s1478-2774(23)50019-3","name":"How to Tackle The Challenges of Evtol Aircraft","source":"openalex","abstract":"The development of personal or urban air mobility aircraft presents several engineering challenges","url":"https://doi.org/10.12968/s1478-2774(23)50019-3","authors":[],"tags":["Aeronautics","Environmental science","Aerospace engineering","Astrobiology","Engineering"],"confidence":0.72,"sites":["low-altitude"],"publishedDate":"2022-06-01","doi":"10.12968/s1478-2774(23)50019-3","addedAt":"2026-08-31T06:39:36.893Z","updatedAt":"2026-08-31T14:45:35.251Z"},{"id":"doi:10.3389/arc.2025.14986","name":"An Efficient Parametric Modeling, Evaluation and Optimization Strategy for Aerodynamic Configuration Design of eVTOL Aircraft","source":"crossref","abstract":"Traditional aerodynamic design faces significant limitations in modeling and computational efficiency during conceptual design stage. A phased collaborative aerodynamic design strategy for eVTOL aircraft was established, by combining the OpenVSP platform for rapid parametric modeling and evaluation, a Kriging surrogate framework with an improved differential evolution algorithm for optimization, and the SUAVE platform for propeller reverse design. In the wing-body (WB) optimization phase, 23 configuration parameters such as the wing shape and location were adjusted. The aerodynamic evaluation was conducted using the Vortex Lattice Method (VLM) in OpenVSP, resulting in a 9.3% increase in the lift-to-drag ratio ( L/D ). During the wing-body-propeller (WBP) coupling optimization phase, the Actuator Disk Theory (ADT) was incorporated into WB model to quantify the slipstream effects. After optimizing the key geometric parameters such as disk diameter and location, the comprehensive propulsion efficiency and lift-to-drag ratio ( η ·/ L/D ) was increased by 14%. Relative performance parameters were then transferred to SUAVE to reconstruct the propeller based on the Betz-BEM theory. The RANS high-fidelity verification of the optimized WBP model shows high consistency in the trends of lift coefficient C l and L/D calculated by VLM, with the propeller thrust error 5.2%, and the C l error 9.7%, which confirms the engineering reliability and efficiency of the proposed strategy.","url":"https://doi.org/10.3389/arc.2025.14986","authors":["Yiming Du","Zehao Liu","Meizhu Shen","Jiang Wu","Kexin Zhang","Chuanye Jiang","Jiale Zhong"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-08-07T05:10:14Z","doi":"10.3389/arc.2025.14986","addedAt":"2026-08-31T06:39:36.893Z","updatedAt":"2026-08-31T06:39:39.047Z"},{"id":"doi:10.4050/f-0075-2019-14458","name":"Rotor/Airframe Aeroacoustic Prediction for eVTOL UAM Aircraft","source":"crossref","abstract":"A major innovative thrust in urban air mobility (UAM) is underway that will potentially transform how we travel by providing on-demand, affordable, quiet, and fast passenger-carrying operations in metropolitan areas using electric powered vertical take-off and landing (eVTOL) aircraft. To support this, it is propitious to enhance existing VTOL aircraft analysis and design tools as necessary and provide these enhanced tools to entrepreneurs attempting to design this new breed of aircraft. In this regard, work was performed to enhance an existing VTOL aircraft aeroacoustics analysis with additional modeling capabilities useful for comprehensive acoustic prediction of Distributed Electric Propulsion (DEP) aircraft noise. The goal is to develop software that will provide fast, accurate prediction of acoustic characteristics associated with DEP aircraft, including (1) noise generated by the simultaneous operation of multiple, variable RPM lifting and propelling rotors and props, (2) interacting rotor/prop/duct/airframe noise, including strut noise and prop/wing interaction noise, (3) broadband noise characteristic of eVTOL configurations, and (4) electric motor noise. This paper describes initial work toward these goals that was performed to enhance and validate a fast method for predicting rotor/airframe noise for combinations of rotor, props, struts, ducts and wings.","url":"https://doi.org/10.4050/f-0075-2019-14458","authors":["Daniel Wachspress","Kenneth Brentner","Michael Yu"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-07-21T13:53:26Z","doi":"10.4050/f-0075-2019-14458","addedAt":"2026-08-31T06:39:36.893Z","updatedAt":"2026-08-31T06:39:38.600Z"},{"id":"doi:10.23919/acc50511.2021.9482620","name":"Nonlinear Trajectory Tracking Control for Winged eVTOL UAVs","source":"crossref","abstract":"","url":"https://doi.org/10.23919/acc50511.2021.9482620","authors":["Jacob B. Willis","Randal W. Beard"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2021-07-28T20:29:16Z","doi":"10.23919/acc50511.2021.9482620","addedAt":"2026-08-31T06:39:36.893Z","updatedAt":"2026-08-31T06:39:38.600Z"},{"id":"doi:10.1109/icet58434.2023.10211673","name":"Research of Transition Corridor and Optimal Trajectory for Front-Tilt-Quadplane eVTOL Aircraft","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icet58434.2023.10211673","authors":["Lin Qing","Liu Juanxia","Zhu Xingyu","Liu Juhong"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-08-15T17:25:47Z","doi":"10.1109/icet58434.2023.10211673","addedAt":"2026-08-31T06:39:36.893Z","updatedAt":"2026-08-31T06:39:38.600Z"},{"id":"doi:10.2514/6.2026-1886","name":"An Evaluation of Fault-Tolerant Control Allocation Strategies for eVTOL Aircraft","source":"openalex","abstract":"Electric vertical takeoff and landing (eVTOL) aircraft typically have more control effectors than controlled axes, offering an opportunity to improve flight safety through recovery from control effector failures. Realizing this potential depends on control allocation strategies that intelligently redistribute virtual force and moment commands among redundant effectors under saturation and fault constraints. However, eVTOL aircraft pose unique challenges for control allocation because of varying control effectiveness across the transition flight envelope. This paper presents a geometric evaluation approach to understand the force and moment generation capability of an aircraft using the attainable force and moment set (AFMS)--a convex set in the six-dimensional space of generalized force and moment control inputs that is defined by saturation and fault constraints. Several classical pseudoinverse-based and optimization-based linear allocation methods are evaluated using the NASA Lift Plus Cruise eVTOL aircraft model in static and dynamic simulations. Their performance is benchmarked by their ability to reproduce the AFMS volume in nominal and faulted conditions, while also evaluating control effort and computational burden. Results show that the direct allocation and mixed L1 optimization algorithms consistently realize the full AFMS volume across hover, transition, and cruise regimes, demonstrating robust reconfiguration capability, while pseudoinverse formulations exhibit significant shortfalls. The dynamic simulation demonstrates zero allocation error, improved trajectory tracking, and successful fault hiding while using the direct allocation algorithm. Beyond specific results for the NASA Lift Plus Cruise aircraft, this study establishes a scalable, aircraft-agnostic method for comparing fault-tolerant control allocation algorithms for real-time implementation in overactuated eVTOL flight control systems.","url":"https://doi.org/10.2514/6.2026-1886","authors":["Garrett D. Asper","Patrick E. Corrigan","Benjamin M. Simmons","Craig A. Woolsey"],"tags":["Control reconfiguration","Control theory (sociology)","Moore–Penrose pseudoinverse","Engineering","Takeoff"],"confidence":0.72,"sites":["low-altitude"],"publishedDate":"2026-01-08","doi":"10.2514/6.2026-1886","addedAt":"2026-08-31T06:39:36.894Z","updatedAt":"2026-08-31T14:45:35.251Z"},{"id":"doi:10.5762/kais.2023.24.12.479","name":"A Study on the Transmission Distance Compensation System Method for Wireless Power Transmission for eVTOL Aircraft","source":"crossref","abstract":"","url":"https://doi.org/10.5762/kais.2023.24.12.479","authors":["Hyun-Kyu Noh","Dong-Seok Shin"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-01-05T00:32:15Z","doi":"10.5762/kais.2023.24.12.479","addedAt":"2026-08-31T06:39:36.894Z","updatedAt":"2026-08-31T06:39:38.600Z"},{"id":"doi:10.1109/tpel.2025.3631467","name":"Scaling up of the State Drop Compensator Designed for eVTOL Aircraft Motor Control","source":"crossref","abstract":"","url":"https://doi.org/10.1109/tpel.2025.3631467","authors":["Zhenxiao Yin","Song Guo","Yuanfeng Qu","Wenxi Hong","Zhijun Ou","Jun Ma","Hang Zhao"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-11-11T18:29:06Z","doi":"10.1109/tpel.2025.3631467","addedAt":"2026-08-31T06:39:36.894Z","updatedAt":"2026-08-31T06:39:39.047Z"},{"id":"doi:10.2514/6.2026-2272","name":"Advanced Air Mobility Infrastructure With Expeditionary Landing Surfaces for eVTOL Aircraft","source":"openalex","abstract":"The rapid advancement of electric vertical takeoff and landing (eVTOL) aircraft has accelerated the development of advanced air mobility (AAM), promising significant reductions in travel time, emissions, and congestion. However, infrastructure development, particularly vertiport construction, lags aircraft technology, creating a critical bottleneck for widespread adoption. Current FAA guidelines for vertiport developments, adapted from heliport standards, mandate heavy, permanent concrete pads that impose prohibitive weight, cost, and logistical challenges, especially for rooftop or austere locales. This paper proposes a paradigm shift in vertiport construction through the application of expeditionary airfield (EAF) matting systems, historically used by the military for rapid deployment of runways and VTOL pads in austere conditions. We examine the evolution of EAF matting from World War II-era Marston mats to modern AM2 aluminum panels, detailing their design, performance, and limitations. Comparative analysis demonstrates that AM2 matting offers substantial advantages over concrete construction, significantly reducing structural load and material costs while enabling rapid installation without delays associated with traditional concrete construction. Furthermore, matting systems mitigate foreign object debris (FOD) risks associated with spalling concrete and provide scalable, modular solutions adaptable to urban rooftops, disaster relief operations, and temporary test sites. By leveraging proven military technologies for civilian applications, this approach addresses the pressing need for agile, cost-effective, and sustainable vertiport infrastructure, supporting the safe and efficient integration of eVTOL aircraft into future transportation networks for urban, rural, or even remote locations.","url":"https://doi.org/10.2514/6.2026-2272","authors":["Hannah E. Wilhelms","Liang Sun","J. Brian Jordon","Paul G. Allison","Hannah Wilhelms","Paul Allison"],"tags":["Engineering","Runway","Software deployment","Bottleneck","Aeronautics"],"confidence":0.72,"sites":["low-altitude"],"publishedDate":"2026-01-08","doi":"10.2514/6.2026-2272","addedAt":"2026-08-31T06:39:36.894Z","updatedAt":"2026-08-31T14:45:35.251Z"},{"id":"doi:10.1109/gncc42960.2018.9018748","name":"Energy Optimal Speed Profile for Arrival of Tandem Tilt-Wing eVTOL Aircraft with RTA Constraint","source":"crossref","abstract":"","url":"https://doi.org/10.1109/gncc42960.2018.9018748","authors":["Priyank Pradeep","Peng Wei"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2020-03-03T04:35:09Z","doi":"10.1109/gncc42960.2018.9018748","addedAt":"2026-08-31T06:39:36.894Z","updatedAt":"2026-08-31T06:39:38.600Z"},{"id":"doi:10.26678/abcm.cobem2021.cob2021-1023","name":"CFD Study Around Tandem Wings for Application in EVTOL Aircraft","source":"openalex","abstract":"","url":"https://doi.org/10.26678/abcm.cobem2021.cob2021-1023","authors":["Leonardo Breitenbach","Marco Antonio Sampaio Ferraz de Souza","João Luiz Rizzatti"],"tags":["Computational fluid dynamics","Aeronautics","Tandem","Wing","Aerospace engineering"],"confidence":0.72,"sites":["low-altitude"],"publishedDate":"2021-01-01","doi":"10.26678/abcm.cobem2021.cob2021-1023","addedAt":"2026-08-31T06:39:36.894Z","updatedAt":"2026-08-31T14:45:35.251Z"},{"id":"doi:10.1016/j.ast.2024.109617","name":"Simultaneous optimization of design and takeoff trajectory for an eVTOL aircraft","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.ast.2024.109617","authors":["Shugo Kaneko","Joaquim R.R.A. Martins"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-09-24T23:55:26Z","doi":"10.1016/j.ast.2024.109617","addedAt":"2026-08-31T06:39:36.894Z","updatedAt":"2026-08-31T06:39:38.600Z"},{"id":"doi:10.2514/6.2022-1485","name":"Preliminary design and analysis of crashworthy structures for a long-range eVTOL aircraft","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2022-1485","authors":["Kaizad Wadia","Michael Buszek","Nikita Poliakov","Saullo G. Castro"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2022-01-04T05:30:49Z","doi":"10.2514/6.2022-1485","addedAt":"2026-08-31T06:39:36.894Z","updatedAt":"2026-08-31T06:39:38.600Z"},{"id":"doi:10.1109/icite59717.2023.10733892","name":"Vertiport Design of Urban Air Mobility for eVTOL Aircraft","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icite59717.2023.10733892","authors":["Zhiguo Xiong","Xiaobo Xiao","Yilian Cao","Quanshan Chen"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-11-01T17:23:13Z","doi":"10.1109/icite59717.2023.10733892","addedAt":"2026-08-31T06:39:36.894Z","updatedAt":"2026-08-31T06:39:47.153Z"},{"id":"doi:10.2514/6.2021-3068","name":"Dynamic topology optimization of battery packs for eVTOL aircraft under time-dependent loading","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2021-3068","authors":["Jiayao Yan","Mark Sperry","David Kamensky","John T. Hwang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2021-07-28T19:32:16Z","doi":"10.2514/6.2021-3068","addedAt":"2026-08-31T06:39:36.894Z","updatedAt":"2026-08-31T06:39:38.600Z"},{"id":"doi:10.2514/6.2024-4426","name":"Automated Verification of State Machines in eVTOL Aircraft: A Lean Development Approach","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2024-4426","authors":["Johannes Bröcker","Tim A. Rupprecht","Evangelos Huber","Florian Holzapfel"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-09-20T08:30:37Z","doi":"10.2514/6.2024-4426","addedAt":"2026-08-31T06:39:36.894Z","updatedAt":"2026-08-31T06:39:38.600Z"},{"id":"doi:10.2514/6.2024-2503","name":"Landing Trajectory Analysis of eVTOL Aircraft for Urban Air Mobility Considering Vortex Ring State","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2024-2503","authors":["Taemin Jeong","Yoonpyo Hong","Daejin Lim","Kwanjung Yee"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-01-29T20:50:11Z","doi":"10.2514/6.2024-2503","addedAt":"2026-08-31T06:39:36.894Z","updatedAt":"2026-08-31T06:39:48.855Z"},{"id":"doi:10.4050/f-0078-2022-1185","name":"Development of eVTOL Aircraft For Urban Air Mobility At Joby Aviation","source":"crossref","abstract":"Typical existing VTOL aircraft - notably, helicopters - are limited in their suitability to civil transportation due to high operating costs, high noise levels, and safety levels below other forms of commercial aviation. Modern electric propulsion technology offers potential solutions to these drawbacks and potentially allows for practical VTOL aircraft configurations less compromised than traditional solutions. Through a multiyear study of various configurations, Joby selected the tilt-propeller as the optimal approach to safely achieve relatively high speed, long range, and low noise in urban air mobility operations. Full-scale flight testing began with a demonstrator phase, demonstrating successful transition between thrustborne and wingborne flight in 2017, and proceeded to a pre-production prototype phase, demonstrating high performance, including a 249 km (134 nm) VTOL flight and a true airspeed of over 322 km/h (174 kt), as well as low noise, measuring 45 dB(A) at 500 m (1,640 ft) equivalent in flyover and under 65 dB(A) at 100 m (328 ft) equivalent in hover.","url":"https://doi.org/10.4050/f-0078-2022-1185","authors":["Alex Stoll","JoeBen Bevirt"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-04-22T19:44:46Z","doi":"10.4050/f-0078-2022-1185","addedAt":"2026-08-31T06:39:36.894Z","updatedAt":"2026-08-31T06:39:38.600Z"},{"id":"doi:10.2514/6.2022-1676","name":"A Comparison of Propeller Wake Models for Distributed Electric Propulsion and eVTOL Aircraft in Complex Flow Conditions","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2022-1676","authors":["Racheal M. Erhard","Juan J. Alonso"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2022-01-04T10:30:49Z","doi":"10.2514/6.2022-1676","addedAt":"2026-08-31T06:39:36.894Z","updatedAt":"2026-08-31T06:39:38.600Z"},{"id":"doi:10.1109/dasc.2018.8569225","name":"Heuristic Approach for Arrival Sequencing and Scheduling for eVTOL Aircraft in On-Demand Urban Air Mobility","source":"crossref","abstract":"","url":"https://doi.org/10.1109/dasc.2018.8569225","authors":["Priyank Pradeep","Peng Wei"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2018-12-10T20:40:36Z","doi":"10.1109/dasc.2018.8569225","addedAt":"2026-08-31T06:39:36.894Z","updatedAt":"2026-08-31T06:39:38.600Z"},{"id":"doi:10.1109/cpeee69412.2026.11521308","name":"Design and Optimization of Hydrogen Propulsion Systems for eVTOL Aircraft","source":"openalex","abstract":"","url":"https://doi.org/10.1109/cpeee69412.2026.11521308","authors":["Tiande MO","Hong ZHAO","Tianchu LI","Wynn LYU","Tiande Mo"],"tags":["Propulsion","Engineering","Environmental science","Hydrogen","Automotive engineering"],"confidence":0.72,"sites":["low-altitude"],"publishedDate":"2026-03-06","doi":"10.1109/cpeee69412.2026.11521308","addedAt":"2026-08-31T06:39:36.894Z","updatedAt":"2026-08-31T14:45:35.251Z"},{"id":"doi:10.4050/sm-2024-tvf-5095","name":"How CFD is Becoming Pervasive in eVTOL Aircraft Design","source":"openalex","abstract":"In recent years, CFD simulations have become more available and pervasive in the toolbox of small aircraft design teams. Small teams may not have the luxury to hire full-time CFD specialists but instead, they can train their aircraft designers to take on CFD simulation tasks.","url":"https://doi.org/10.4050/sm-2024-tvf-5095","authors":["Oliver Garrow","Doyoon Kim"],"tags":["Computational fluid dynamics","Toolbox","Engineering","Systems engineering","Computer science"],"confidence":0.72,"sites":["low-altitude"],"publishedDate":"2024-02-06","doi":"10.4050/sm-2024-tvf-5095","addedAt":"2026-08-31T06:39:36.894Z","updatedAt":"2026-08-31T14:45:35.251Z"},{"id":"doi:10.4050/f-0078-2022-17489","name":"Modeling and Optimization of Propulsion Systems for eVTOL Aircraft","source":"crossref","abstract":"","url":"https://doi.org/10.4050/f-0078-2022-17489","authors":["Drew Darrah","Bruno Moorthamers","Willem Anemaat","Wanbo Liu"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2022-09-15T12:35:13Z","doi":"10.4050/f-0078-2022-17489","addedAt":"2026-08-31T06:39:36.894Z","updatedAt":"2026-08-31T06:39:38.600Z"},{"id":"doi:10.4050/f-0080-2024-1159","name":"Motor and Drive Design for eVTOL Aircraft","source":"crossref","abstract":"The design of a powertrain for an eVTOL is a complex, multidisciplinary challenge whose solution is best approached as a constrained optimization problem. We use a motor and drive optimization tool based on both first principles and empirical models to examine the design space for a medium-sized eVTOL aicraft. The tool is used to perform optimizations based on continuous power requirements in conjunction with time-dependent mission profiles to achieve an optimal powertrain system weight given efficiency and diameter constraints. Additionally, efficiency and diameter sweeps are performed to illuminate the trades surrounding the \"optimal\" design point. Access to both detailed system-level optimizations and multi-dimensional sensitivity studies gives eVTOL aircraft designers unique and pivotal insights into the interaction between the propulsion system and the rest of the aircraft. A bespoke, integrated, approach also provides significant weight savings over a commercial off-the-shelf (COTS) solution.","url":"https://doi.org/10.4050/f-0080-2024-1159","authors":["Ryan Rahn","Michael Ricci","Brad Paden","Jack Meyers","Robert McDonald"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-09-20T14:39:28Z","doi":"10.4050/f-0080-2024-1159","addedAt":"2026-08-31T06:39:36.894Z","updatedAt":"2026-08-31T06:39:38.600Z"},{"id":"doi:10.2514/6.2022-3088","name":"Generation of noise exposure contours for eVTOL aircraft including transition","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2022-3088","authors":["Daniel C. Amargianitakis","Rod Self","Anderson Proenca","Antonio Torija Martinez","Athanasios Synodinos"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2022-06-13T15:46:28Z","doi":"10.2514/6.2022-3088","addedAt":"2026-08-31T06:39:36.894Z","updatedAt":"2026-08-31T06:39:38.600Z"},{"id":"doi:10.2514/6.2024-3939","name":"Optimized eVTOL Aircraft Scheduling - An Answer Set Programming Based Approach","source":"openalex","abstract":"The emergence of electric vertical-take-off-and-landing (eVTOL) aircraft as a potential and robust transportation means brings a lot of excitement and several challenges. Among the challenges is the eVTOLs scheduling problem that is concerned with identifying the routes for available eVTOLs to service a set of requests such that the schedule satisfies certain optimization criteria. eVTOLs scheduling problems could be solved using heuristic search methods developed for computing solutions of drone scheduling for the delivery of goods. This paper presents an implementation of an answer set programming-based approach to solving eVOTLs scheduling problems. The new system differs from earlier systems for drone scheduling problems in its use of a declarative programming paradigm, called answer set programming, to represent the problem and compute solutions. The paper includes an experimental validation of the system and discusses future directions that may be needed for its deployment.","url":"https://doi.org/10.2514/6.2024-3939","authors":["Anh-Duong Nguyen","Loc Pham","Nathan Lindsay","Liang Sun","Son C. Tran","Tran Cao Son"],"tags":["Computer science","Answer set programming","Scheduling (production processes)","Processor scheduling","Set (abstract data type)"],"confidence":0.72,"sites":["low-altitude"],"publishedDate":"2024-07-27","doi":"10.2514/6.2024-3939","addedAt":"2026-08-31T06:39:36.894Z","updatedAt":"2026-08-31T14:45:35.251Z"},{"id":"doi:10.1016/j.ast.2021.106903","name":"Trajectory optimization-based maneuverability assessment of eVTOL aircraft","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.ast.2021.106903","authors":["Mingkai Wang","Johannes Diepolder","Shuguang Zhang","Maximilian Söpper","Florian Holzapfel"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2021-06-23T05:26:17Z","doi":"10.1016/j.ast.2021.106903","addedAt":"2026-08-31T06:39:36.894Z","updatedAt":"2026-08-31T06:39:38.600Z"},{"id":"doi:10.2514/6.2026-2272.c1","name":"Correction: Advanced Air Mobility Infrastructure With Expeditionary Landing Surfaces for eVTOL Aircraft","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2026-2272.c1","authors":["Hannah E. Wilhelms","Liang Sun","J. Brian Jordon","Paul G. Allison"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-02-13T15:05:32Z","doi":"10.2514/6.2026-2272.c1","addedAt":"2026-08-31T06:39:36.894Z","updatedAt":"2026-08-31T06:39:38.599Z"},{"id":"doi:10.1007/978-981-96-2440-9_26","name":"Aerodynamic Interaction Analysis of Various Propellers on a Lift-Thrust Hybrid Configuration eVTOL Aircraft","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-981-96-2440-9_26","authors":["Changning Chen","Xiaolu Wang","Yingyu Liu","Qihang Du","Ke Zhao"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-03-08T00:53:21Z","doi":"10.1007/978-981-96-2440-9_26","addedAt":"2026-08-31T06:39:36.894Z","updatedAt":"2026-08-31T06:39:39.468Z"},{"id":"doi:10.3390/aerospace10030311","name":"An Efficient and Robust Sizing Method for eVTOL Aircraft Configurations in Conceptual Design","source":"crossref","abstract":"This paper presents the development of a robust sizing method to efficiently estimate and compare key performance parameters in the conceptual design stage for the two main classes of fully electric vertical take-off and landing (eVTOL) aircraft, the powered lift and wingless aircraft types. The paper investigates hybrids of classical root-finding methods: the bisection, fixed-point and Newton-Rapson methods for use in eVTOL aircraft sizing. The improved convergence efficiency of the hybrid methods is at least 70% faster than the standard methods. This improved efficiency is significant for complex sizing problems. The developed sizing method is used to investigate the comparative performance of the wingless and powered lift eVTOL aircraft types for varying mission lengths. For a generic air taxi mission with a payload of 400 kg, the powered lift type demonstrates its mass efficiency when sized for missions above 10 km in range. However, the simpler architecture of the wingless eVTOL aircraft type makes it preferable for missions below 10 km in range when considering energy efficiency. The results of the sizing study were compared against a selection of eVTOL aircraft data. The results showed a good agreement between the estimated aircraft mass using the proposed sizing method and published eVTOL aircraft data.","url":"https://doi.org/10.3390/aerospace10030311","authors":["Osita Ugwueze","Thomas Statheros","Nadjim Horri","Michael A. Bromfield","Jules Simo"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-03-21T06:56:48Z","doi":"10.3390/aerospace10030311","addedAt":"2026-08-31T06:39:36.894Z","updatedAt":"2026-08-31T06:39:38.600Z"},{"id":"doi:10.2514/6.2021-3068.c1","name":"Correction: Dynamic topology optimization of battery packs for eVTOL aircraft under time-dependent loading","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2021-3068.c1","authors":["Jiayao Yan","Mark Sperry","David Kamensky","John T. Hwang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2021-08-25T15:48:03Z","doi":"10.2514/6.2021-3068.c1","addedAt":"2026-08-31T06:39:36.894Z","updatedAt":"2026-08-31T06:39:38.600Z"},{"id":"doi:10.1007/s42405-025-00888-9","name":"Improved Conceptual Design of eVTOL Aircraft: Considering Rotor–Rotor Interactional Effects","source":"crossref","abstract":"Abstract Electric vertical takeoff and landing (eVTOL) aircraft equipped with a distributed electric propulsion (DEP) system have rotors positioned close to one another, leading to unsteady rotor–rotor interactions. These interactions are known to increase rotor aeroacoustic noise due to aerodynamic load fluctuations. Therefore, capturing the noise increase caused by rotor interactions is critical during the conceptual design phase of eVTOL aircraft. Low-fidelity rotor analysis models, such as blade element momentum theory (BEMT), which are commonly used in conventional conceptual design frameworks for their efficiency, fail to account for rotor–rotor interaction effects as they assume each rotor operates in isolation. In this study, a rotor aeroacoustic solver is integrated into the conceptual design framework, RISPECT+. Additionally, a new aerodynamic coupling module between two distinct aerodynamic solvers is developed to capture the noise increase from rotor–rotor interactions. In this module, rotor aerodynamic analysis results from the lower-fidelity model are corrected based on differences with the higher-fidelity model, enabling the capture of aerodynamic force unsteadiness and the resulting noise increase. Finally, this new framework is used to conduct sensitivity analysis and multi-objective design optimization, taking into account both gross weight and noise impact.","url":"https://doi.org/10.1007/s42405-025-00888-9","authors":["Hojin Kim","Jinwhuy Lee","Donguk Lee","Kwanjung Yee"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-02-05T09:50:21Z","doi":"10.1007/s42405-025-00888-9","addedAt":"2026-08-31T06:39:36.894Z","updatedAt":"2026-08-31T06:39:39.468Z"},{"id":"doi:10.4050/f-0081-2025-171","name":"Comparing Different Pilot Control Schemes for eVTOL and Powered-Lift Aircraft","source":"crossref","abstract":"This paper presents insights into a comparative approach to down-select on the most suitable pilot control schemes for eVTOL and powered-lift aircraft. The investigation examines three main areas: (1) experimental flight test performance, (2) flight control analysis, and (3) Human-Machine Interface (HMI) factors. Experiments were conducted to evaluate how various inceptor control schemes were perceived by people of various experience levels, ranging from manned aviation pilots with experience in flying F-16 jets, AH-64D helicopters and high-performance turboprop trainers, to unmanned aviation pilots of various backgrounds, such as with remote control (RC) rotorcraft and RC fixed-wing aircraft, and finally to participants with zero experience with either of these. In this experimental surveying study, all participants were briefed on a standardized mission profile and tasked to fly a VTOL drone and a computer based flight simulator using various flight control schemes. Videos were recorded for each test and reviewed for in-depth flight performance and controls scoring and analysis. At the end, feedback on key Human Machine Interface (HMI) factors for each flight control method is obtained. These results in totality provided insights, strengths and weaknesses for each flight control scheme. Upon identification of the most optimal control methodology, a novel energy-based control method to unify both multirotor drone and fixed wing aircraft control logics was developed, future testing will involve incorporating the 3+1 control inceptor scheme with the energy-based control method for further testing and optimization in a simulation environment. The goal of this study is providing a design framework to help eVTOL and powered-lift aircraft designers optimize their pilot control methodology; to become more instinctive, easier to operate, safer and more cost-effective to train new eVTOL and powered-lift pilots and operators.","url":"https://doi.org/10.4050/f-0081-2025-171","authors":["Mir Feroskhan","Xiaoqiang Lu","James Wang","Eden Lee","Gregory Khoo"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-07-01T20:25:00Z","doi":"10.4050/f-0081-2025-171","addedAt":"2026-08-31T06:39:36.894Z","updatedAt":"2026-08-31T06:39:39.468Z"},{"id":"doi:10.4050/f-0078-2022-1181","name":"Modeling and Optimization of Propulsion Systems for eVTOL Aircraft","source":"openalex","abstract":"UAV platforms often use commercial off the shelf electric propulsion units for thrust generation. The manufacturers of these electric motors often only include the maximum efficiency or a list of efficiencies coupled with specific rotors. Taking into account the effect of the electronic speed control, many combinations are possible, making it hard to predict the final propulsion and efficiency of the complete propulsion unit. In this paper, a novel method of analysis is discussed to predict the flight endurance of any motor, battery, propeller combination. Using flight testing, the model is verified for four specific configurations. The model is then used to present some trends on flight endurance and cost as a function of vehicle weight using a total of 13 configurations. In future, the model could be used by UAV designers to better predict the performance of their aircraft using COTS components.","url":"https://doi.org/10.4050/f-0078-2022-1181","authors":["Willem Anemaat","Drew Darrah","Bruno Moorthamers","Wanbo Liu","Willem A. Anemaat"],"tags":["Propulsion","Propeller","Thrust","Automotive engineering","Electrically powered spacecraft propulsion"],"confidence":0.72,"sites":["low-altitude"],"publishedDate":"2022-05-10","doi":"10.4050/f-0078-2022-1181","addedAt":"2026-08-31T06:39:36.894Z","updatedAt":"2026-08-31T14:45:35.251Z"},{"id":"doi:10.4050/sm_struct_2021-1016","name":"Development of Energy Absorbing Subfloor Concepts to Improve Crashworthiness of eVTOL Aircraft","source":"openalex","abstract":"Development of Energy Absorbing Subfloor Concepts to Improve Crashworthiness of eVTOL Aircraft.","url":"https://doi.org/10.4050/sm_struct_2021-1016","authors":["Jacob Putnam","Justin Littell"],"tags":["Crashworthiness","Energy (signal processing)","Engineering","Automotive engineering","Development (topology)"],"confidence":0.72,"sites":["low-altitude"],"publishedDate":"2021-10-27","doi":"10.4050/sm_struct_2021-1016","addedAt":"2026-08-31T06:39:36.894Z","updatedAt":"2026-08-31T14:45:35.251Z"},{"id":"doi:10.1016/j.geits.2024.100150","name":"Overall eVTOL aircraft design for urban air mobility","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.geits.2024.100150","authors":["Jiechao Zhang","Yaolong Liu","Yao Zheng"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-01-10T13:04:50Z","doi":"10.1016/j.geits.2024.100150","addedAt":"2026-08-31T06:39:36.894Z","updatedAt":"2026-08-31T06:39:48.855Z"},{"id":"doi:10.1109/iccsse55346.2022.10079887","name":"Robust Adaptive Control of a Slow Rotor Compound eVTOL General Aircraft","source":"crossref","abstract":"","url":"https://doi.org/10.1109/iccsse55346.2022.10079887","authors":["Liu Juanxia","Lin Qing","Liu Donghui","Liu Juhong"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-03-31T17:22:52Z","doi":"10.1109/iccsse55346.2022.10079887","addedAt":"2026-08-31T06:39:36.894Z","updatedAt":"2026-08-31T06:39:38.600Z"},{"id":"doi:10.1145/3800000.3800039","name":"Assessing and Mitigating Data Security Threats in AI-Driven eVTOL Aircraft","source":"crossref","abstract":"","url":"https://doi.org/10.1145/3800000.3800039","authors":["Shiwen Shen","Zhen Guo","Yuqiao Ning","Tianling Liu","Chenya Bian"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-05-15T08:55:49Z","doi":"10.1145/3800000.3800039","addedAt":"2026-08-31T06:39:36.894Z","updatedAt":"2026-08-31T06:39:39.468Z"},{"id":"doi:10.4050/f-0082-2026-0270","name":"Sharing the Complete Process of How to Design, Build and Test an eVTOL Aircraft","source":"openalex","abstract":"This paper shares the complete process and recommendations on how an eVTOL (electric vertical take-off and landing) aircraft is planned, conceptualized, designed, built and tested. The recommendations draw on extensive experience gained from designing multiple eVTOL aircraft and working within the rotorcraft industry. A Lift + Cruise eVTOL aircraft with a wingspan of 8-meter (26.3 ft) is used as a case study to illustrate the whole process.","url":"https://doi.org/10.4050/f-0082-2026-0270","authors":["James Wang"],"tags":["Wingspan","Process (computing)","Engineering","Cruise","Lift (data mining)"],"confidence":0.72,"sites":["low-altitude"],"publishedDate":"2026-05-05","doi":"10.4050/f-0082-2026-0270","addedAt":"2026-08-31T06:39:36.894Z","updatedAt":"2026-08-31T14:45:35.251Z"},{"id":"doi:10.2514/6.2024-2312","name":"Aerodynamic Analysis of Tandem Tilt-Wing eVTOL Aircraft in Cruise and Transition Flight","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2024-2312","authors":["Atsushi Shinozuka","Shota Taniguchi","Kanako Yasue","Ryota Fukuchi","Akira Oyama"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-01-29T20:50:11Z","doi":"10.2514/6.2024-2312","addedAt":"2026-08-31T06:39:36.894Z","updatedAt":"2026-08-31T06:39:38.600Z"},{"id":"doi:10.1016/j.ast.2024.109595","name":"Control allocation optimization for an over-actuated tandem tiltwing eVTOL aircraft considering aerodynamic interactions","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.ast.2024.109595","authors":["Emre Yılmaz","Brian J. German"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-09-19T06:15:36Z","doi":"10.1016/j.ast.2024.109595","addedAt":"2026-08-31T06:39:36.894Z","updatedAt":"2026-08-31T06:39:38.600Z"},{"id":"doi:10.4050/sm-2026-vlada-5186","name":"Design, Development, and Subscale Flight Testing of an Emergency Response eVTOL Aircraft","source":"openalex","abstract":"This paper presents the design, development, and subscale flight testing of an optionally-autonomous lift-plus-cruise (LPC) eVTOL aircraft for emergency response missions that bridges the gap between existing aerial capabilities and the needs of first responders. A 4+1 LPC configuration consisting of four vertical lift propellers and a single pusher propeller was selected to balance hover performance and cruise efficiency. The vehicle is sized around a 600 lbs gross takeoff weight with a 125 lbs payload capacity. VTOL and Pusher propeller blades were optimized using parametric studies, resulting in a high Figure of Merit and propulsive efficiency. Trim analysis demonstrates efficient hover to cruise transition, lift-to-drag ratios of 10-11 between 70-90 knots, and propulsive efficiency exceeding 0.9 at the cruise speed of 100 knots. The subscale configuration utilized a simulation framework for trim and optimization of flight control laws, which were subsequently implemented on a 1/3-scale subscale demonstrator. Subscale flight tests showed stable hover and robust trajectory tracking under wind disturbances throughout the flight envelope, which demonstrates the feasibility of the proposed LPC architecture.","url":"https://doi.org/10.4050/sm-2026-vlada-5186","authors":["Ripon Sarker","Anup Pudasaini","Pratribha Bhandari","Zach Atkinson","Anthony Comer","Nabia Fardin","Pedram Dabaghian","Atanu Halder","R.I. Sarker"],"tags":["Cruise","Trim","Payload (computing)","Takeoff and landing","Aeronautics"],"confidence":0.72,"sites":["low-altitude"],"publishedDate":"2026-01-27","doi":"10.4050/sm-2026-vlada-5186","addedAt":"2026-08-31T06:39:36.894Z","updatedAt":"2026-08-31T14:45:35.251Z"},{"id":"doi:10.5281/zenodo.11500722","name":"The CrashProof Knowledge Centre (CrashProof Lab TU Delft)","source":"datacite","abstract":"The objectives of the CrashProof Knowledge Centre (CrashProof Lab TU Delft) are: Be a world-class knowledge centre on crashworthiness covering state-of-the-art modelling techniques, validated models, testing methods and testing hardware. Connect students, researchers and industry partners with a common interest in experimental and numerical crashworthiness. Revolutionise the design of structures with improved crashworthiness to enable safe and more efficient unconventional aircraft. Please, cite the CrashProof Knowledge Centre as: Castro SGP (2022). The CrashProof Knowledge Centre (CrashProof Lab TU Delft). Zenodo. Published on 2022-Nov-01. Update 2024-Jun-06: https://doi.org/10.5281/zenodo.11500722. CrashProof Lab TU Delft Zenodo community Publications Medina Marrero, A., Hoogreef, M., Proesmans, P., Castro, S. G. P. (2026). \"Effect of crashworthiness on the design of hydrogen aircraft\". CEAS Aeronautical Journal. https://www.doi.org/10.1007/s13272-026-00976-w Castro, S. G. P. (2025). \"Stability of Structures: Kinematics, Equivalent Single-Layer Theories, and Energy-based Semi-Analytical Methods\". Zenodo. https://doi.org/10.5281/zenodo.18957062 Ciobotia, R. I., van der Laan, T., van de Waerdt, W., Peeters, D., & Castro, S. G. P. (2025). “Incorporating bird strike crashworthiness requirements within the design of wing structures”. Struct Multidisc Optim 68, 236. https://doi.org/10.1007/s00158-025-04158-w Anand, S., Dighe, N., Gupta, P., Alderliesten, R., & Castro, S. G. P. (2025). “Failure modes and energy absorption in glass reinforced aluminum (GLARE) hybrid laminates subjected to three-point bending”. Composites Part C: Open Access, 18, 100651. https://doi.org/10.1016/j.jcomc.2025.100651 Bangera, S. S., & Castro, S. G. P. (2025). “Deflation constraints for global optimization of composite structures”. Composite Structures, 357, 118916. https://doi.org/10.1016/j.compstruct.2025.118916 Ferreira da Costa, T. , Castro, S. G. P. , Rans, C., & Villa, A. (2025). “Crashworthiness assessment of the Flying-V under complex crash scenarios with partially detailed structures”. AIAA SCITECH 2025 Forum. https://www.doi.org/10.2514/6.2025-0622 Almeida, J. H. S., Balonek, E., & Castro, S. G. P. (2025). “Beyond Double-Double theory: n-Directional stacking sequence optimisation in composite laminates”. Composite Structures, 373, 119586. https://doi.org/10.1016/j.compstruct.2025.119586 Almeida, J. H. S., Ashok, A., Uzair, M., & Castro, S. G. P. (2025). “Bayesian meta-optimisation of variable stiffness composite cylinders for mass minimisation with manufacturing constraints”. Computers & Structures, 316, 107868. https://doi.org/10.1016/j.compstruc.2025.107868 Anand, S., Alderliesten, R., & Castro, S. G. P. (2024). “Crashworthiness in preliminary design: Mean crushing force prediction for closed-section thin-walled metallic structures”. International Journal of Impact Engineering, 188, 104946. https://doi.org/10.1016/j.ijimpeng.2024.104946 Anand, S., Alderliesten, R., & Castro, S. G. P. (2024). “Corrigendum to Crashworthiness in preliminary design: Mean crushing force prediction for closed-section thin-walled metallic structures” [International Journal of Impact Engineering, 188, 104946]. International Journal of Impact Engineering, 194, 105086. https://doi.org/10.1016/j.ijimpeng.2024.105086 Keijzer, D. M., Simon Soria, C., Arends, J., Sarigol, B., Scarano, F., & Castro, S. G. P. (2024). “Design of a Hydrogen-Powered Crashworthy eVTOL Using Multidisciplinary Analysis and Design Optimization”. AIAA Scitech 2024 Forum. https://doi.org/10.2514/6.2024-2474 Anand, S., Alderliesten, R., & Castro, S. G. P. (2024). “Low-fidelity crashworthiness assessment of unconventional aircraft: Modelling of plastic bending”. AIAA Scitech 2024 Forum. https://doi.org/10.2514/6.2024-0833 Albers, W., Arends, J., van Battum, B. A. , Hadzhiyski, E., Karaca, C., Keijzer, D. M., Middendorp, L., de Rijke, S., Sarıgöl, B., & Simon Soria, C. (2023). “Final Report - Aetheria, ","url":"https://doi.org/10.5281/zenodo.11500722","authors":["Saullo G. P. Castro"],"tags":["crashworthiness","crashworthiness analysis","crashworthiness testing","unconventional aircraft","bird strike","drop test","crashprooflab"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2022","doi":"10.5281/zenodo.11500722","addedAt":"2026-08-31T06:39:36.894Z","updatedAt":"2026-08-31T06:39:38.600Z"},{"id":"doi:10.5281/zenodo.7270077","name":"The CrashProof Knowledge Centre (CrashProof Lab TU Delft)","source":"datacite","abstract":"The objectives of the CrashProof Knowledge Centre (CrashProof Lab TU Delft) are: Be a world-class knowledge centre on crashworthiness covering state-of-the-art modelling techniques, validated models, testing methods and testing hardware. Connect students, researchers and industry partners with a common interest in experimental and numerical crashworthiness. Revolutionise the design of structures with improved crashworthiness to enable safe and more efficient unconventional aircraft. Please, cite the CrashProof Knowledge Centre as: Castro SGP (2022). The CrashProof Knowledge Centre (CrashProof Lab TU Delft). Zenodo. Published on 2022-Nov-01. Update 2024-Jun-06: https://doi.org/10.5281/zenodo.11500722. CrashProof Lab TU Delft Zenodo community Publications Medina Marrero, A., Hoogreef, M., Proesmans, P., Castro, S. G. P. (2026). \"Effect of crashworthiness on the design of hydrogen aircraft\". CEAS Aeronautical Journal. https://www.doi.org/10.1007/s13272-026-00976-w Castro, S. G. P. (2025). \"Stability of Structures: Kinematics, Equivalent Single-Layer Theories, and Energy-based Semi-Analytical Methods\". Zenodo. https://doi.org/10.5281/zenodo.18957062 Ciobotia, R. I., van der Laan, T., van de Waerdt, W., Peeters, D., & Castro, S. G. P. (2025). “Incorporating bird strike crashworthiness requirements within the design of wing structures”. Struct Multidisc Optim 68, 236. https://doi.org/10.1007/s00158-025-04158-w Anand, S., Dighe, N., Gupta, P., Alderliesten, R., & Castro, S. G. P. (2025). “Failure modes and energy absorption in glass reinforced aluminum (GLARE) hybrid laminates subjected to three-point bending”. Composites Part C: Open Access, 18, 100651. https://doi.org/10.1016/j.jcomc.2025.100651 Bangera, S. S., & Castro, S. G. P. (2025). “Deflation constraints for global optimization of composite structures”. Composite Structures, 357, 118916. https://doi.org/10.1016/j.compstruct.2025.118916 Ferreira da Costa, T. , Castro, S. G. P. , Rans, C., & Villa, A. (2025). “Crashworthiness assessment of the Flying-V under complex crash scenarios with partially detailed structures”. AIAA SCITECH 2025 Forum. https://www.doi.org/10.2514/6.2025-0622 Almeida, J. H. S., Balonek, E., & Castro, S. G. P. (2025). “Beyond Double-Double theory: n-Directional stacking sequence optimisation in composite laminates”. Composite Structures, 373, 119586. https://doi.org/10.1016/j.compstruct.2025.119586 Almeida, J. H. S., Ashok, A., Uzair, M., & Castro, S. G. P. (2025). “Bayesian meta-optimisation of variable stiffness composite cylinders for mass minimisation with manufacturing constraints”. Computers & Structures, 316, 107868. https://doi.org/10.1016/j.compstruc.2025.107868 Anand, S., Alderliesten, R., & Castro, S. G. P. (2024). “Crashworthiness in preliminary design: Mean crushing force prediction for closed-section thin-walled metallic structures”. International Journal of Impact Engineering, 188, 104946. https://doi.org/10.1016/j.ijimpeng.2024.104946 Anand, S., Alderliesten, R., & Castro, S. G. P. (2024). “Corrigendum to Crashworthiness in preliminary design: Mean crushing force prediction for closed-section thin-walled metallic structures” [International Journal of Impact Engineering, 188, 104946]. International Journal of Impact Engineering, 194, 105086. https://doi.org/10.1016/j.ijimpeng.2024.105086 Keijzer, D. M., Simon Soria, C., Arends, J., Sarigol, B., Scarano, F., & Castro, S. G. P. (2024). “Design of a Hydrogen-Powered Crashworthy eVTOL Using Multidisciplinary Analysis and Design Optimization”. AIAA Scitech 2024 Forum. https://doi.org/10.2514/6.2024-2474 Anand, S., Alderliesten, R., & Castro, S. G. P. (2024). “Low-fidelity crashworthiness assessment of unconventional aircraft: Modelling of plastic bending”. AIAA Scitech 2024 Forum. https://doi.org/10.2514/6.2024-0833 Albers, W., Arends, J., van Battum, B. A. , Hadzhiyski, E., Karaca, C., Keijzer, D. M., Middendorp, L., de Rijke, S., Sarıgöl, B., & Simon Soria, C. (2023). “Final Report - Aetheria, ","url":"https://doi.org/10.5281/zenodo.7270077","authors":["Saullo G. P. Castro"],"tags":["crashworthiness","crashworthiness analysis","crashworthiness testing","unconventional aircraft","bird strike","drop test","crashprooflab"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2022","doi":"10.5281/zenodo.7270077","addedAt":"2026-08-31T06:39:36.894Z","updatedAt":"2026-08-31T06:39:38.600Z"},{"id":"doi:10.5281/zenodo.20000260","name":"COMPLETE PATENT DISCLOSURE — Multi-Stage Radial Flux and Multi-Stage Axial Flux Electromagnetic Motors with Integrated Cooling/Heating System and AI Control — Patent Application No. 57302185 (IPO Pakistan, 19 August 2025) — Now Released to Public Domain as Sadaqa Jariyah","source":"datacite","abstract":"Zenodo Description for N-K Sciences Publication COMPLETE PATENT DISCLOSURE — MULTI-STAGE RADIAL FLUX AND MULTI-STAGE AXIAL FLUX ELECTROMAGNETIC MOTORS With Integrated Cooling/Heating System and AI Control — Now Released as Sadaqa Jariyah --- Title:COMPLETE PATENT DISCLOSURE — Multi-Stage Radial Flux and Multi-Stage Axial Flux Electromagnetic Motors with Integrated Cooling/Heating System and AI Control — Patent Application No. 57302185 (IPO Pakistan, 19 August 2025) — Now Released to Public Domain as Sadaqa Jariyah Authors:Malik Muhammad Usman ORCID:0009-0004-3269-2918 Affiliation:Independent Researcher, Founder & Sole Authority, N‑K Universal Computer, City of Saints, Multan, Punjab, Pakistan Publication Date:3 May 2026 CE · 15 Shawwal 1447 AH DOI:10.5281/zenodo.20000261 Version:1.0 — Complete Patent Disclosure with Drawings and Receipt License:CC BY-NC 4.0 — Sadaqa Jariyah (Free for all humanity upon acceptance of truth and credit to source) Patent Status:FORMERLY PENDING — NOW WITHDRAWN AND RELEASED TO PUBLIC DOMAIN --- Abstract This publication presents the complete patent disclosure for a revolutionary class of electric motors featuring: Motor Type Configuration Key InnovationMulti-Stage Radial Flux Motor Multiple radial flux stages on a single shaft, linear configuration Active 3+ phase electromagnetic windings on both stator and rotor — no permanent magnetsMulti-Stage Axial Flux Motor Multiple axial flux stages stacked inline, pancake configuration Same core innovation adapted for flat, high-density applications Both designs share the following revolutionary features: Feature SpecificationMagnet-free No rare-earth permanent magnets — both stator and rotor use active EM windingsFull torque at 0 RPM Achieved via independent control of stator and rotor EM wave frequencies (e.g., both at 120 Hz clockwise → 0 RPM, full torque)AI control Independent voltage, current, frequency, and phase angle per stageIntegrated cooling/heating Wave/U-shaped fluid channels embedded in stator — operation from -50°C to +60°CElectromagnetic bearings Near-frictionless operation, up to ~1 million RPMModular scaling From 500 kW (eVTOLs) to 1-2 GW (ships, power plants) via 20-100 identical stagesServiceability Replace one stage while others continue operating --- Patent Details Field InformationPatent Title Multi-Stage Electromagnetic Motor with Integrated Cooling/Heating System and AI ControlPatent Application No. 57302185Filing Date 19 August 2025Filing Office Intellectual Property Organization of Pakistan (IPO), KarachiInventor Muhammad Usman MalikStatus WITHDRAWN AND RELEASED TO PUBLIC DOMAIN (3 May 2026)Receipt No. 2502189902Filing Fee Rs. 2025/- --- The Core Invention — Active EM Rotor + Stator Conventional Motor This InventionStator: active EM windings ✅ Stator: active EM windings ✅Rotor: permanent magnets ❌ (or cage induction) Rotor: active EM windings ✅Rotor field is fixed or induced Rotor field is independently controllableTorque limited by magnet temperature (80-200°C) Torque unlimited by magnets — operates >500°CRare-earth magnets required No rare-earth minerals — only copper and steelSingle monolithic unit Modular — multiple identical stages This is the invention: Both stator and rotor are active, multi-phase, AI-controlled electromagnetic systems. Torque comes from EM wave interference, not from physical rotation. --- The Zero RPM, Full Torque Mechanism Configuration Stator EM Wave Rotor EM Wave Physical Rotor Speed TorqueSame direction, same frequency → 120 Hz → 120 Hz 0 RPM FULLOpposite direction, same frequency → 120 Hz ← 120 Hz 240 RPM FULLStator only, rotor free → 120 Hz 0 Hz Rotor accelerates to follow FULL Torque comes from EM wave interference, not from physical motion. This eliminates the need for clutches, gearboxes, and transmissions. --- Technical Specifications Multi-Stage Radial Flux Motor (Linear Configuration) Parameter SpecificationConfiguration 3+ identical radial flux modules on a single common shaftStator Active 3+ ","url":"https://doi.org/10.5281/zenodo.20000260","authors":["Usman Malik, Muhammad"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.20000260","addedAt":"2026-08-31T06:39:36.894Z","updatedAt":"2026-08-31T06:39:38.600Z"},{"id":"doi:10.5281/zenodo.20000261","name":"COMPLETE PATENT DISCLOSURE — Multi-Stage Radial Flux and Multi-Stage Axial Flux Electromagnetic Motors with Integrated Cooling/Heating System and AI Control — Patent Application No. 57302185 (IPO Pakistan, 19 August 2025) — Now Released to Public Domain as Sadaqa Jariyah","source":"datacite","abstract":"Zenodo Description for N-K Sciences Publication COMPLETE PATENT DISCLOSURE — MULTI-STAGE RADIAL FLUX AND MULTI-STAGE AXIAL FLUX ELECTROMAGNETIC MOTORS With Integrated Cooling/Heating System and AI Control — Now Released as Sadaqa Jariyah --- Title:COMPLETE PATENT DISCLOSURE — Multi-Stage Radial Flux and Multi-Stage Axial Flux Electromagnetic Motors with Integrated Cooling/Heating System and AI Control — Patent Application No. 57302185 (IPO Pakistan, 19 August 2025) — Now Released to Public Domain as Sadaqa Jariyah Authors:Malik Muhammad Usman ORCID:0009-0004-3269-2918 Affiliation:Independent Researcher, Founder & Sole Authority, N‑K Universal Computer, City of Saints, Multan, Punjab, Pakistan Publication Date:3 May 2026 CE · 15 Shawwal 1447 AH DOI:10.5281/zenodo.20000261 Version:1.0 — Complete Patent Disclosure with Drawings and Receipt License:CC BY-NC 4.0 — Sadaqa Jariyah (Free for all humanity upon acceptance of truth and credit to source) Patent Status:FORMERLY PENDING — NOW WITHDRAWN AND RELEASED TO PUBLIC DOMAIN --- Abstract This publication presents the complete patent disclosure for a revolutionary class of electric motors featuring: Motor Type Configuration Key InnovationMulti-Stage Radial Flux Motor Multiple radial flux stages on a single shaft, linear configuration Active 3+ phase electromagnetic windings on both stator and rotor — no permanent magnetsMulti-Stage Axial Flux Motor Multiple axial flux stages stacked inline, pancake configuration Same core innovation adapted for flat, high-density applications Both designs share the following revolutionary features: Feature SpecificationMagnet-free No rare-earth permanent magnets — both stator and rotor use active EM windingsFull torque at 0 RPM Achieved via independent control of stator and rotor EM wave frequencies (e.g., both at 120 Hz clockwise → 0 RPM, full torque)AI control Independent voltage, current, frequency, and phase angle per stageIntegrated cooling/heating Wave/U-shaped fluid channels embedded in stator — operation from -50°C to +60°CElectromagnetic bearings Near-frictionless operation, up to ~1 million RPMModular scaling From 500 kW (eVTOLs) to 1-2 GW (ships, power plants) via 20-100 identical stagesServiceability Replace one stage while others continue operating --- Patent Details Field InformationPatent Title Multi-Stage Electromagnetic Motor with Integrated Cooling/Heating System and AI ControlPatent Application No. 57302185Filing Date 19 August 2025Filing Office Intellectual Property Organization of Pakistan (IPO), KarachiInventor Muhammad Usman MalikStatus WITHDRAWN AND RELEASED TO PUBLIC DOMAIN (3 May 2026)Receipt No. 2502189902Filing Fee Rs. 2025/- --- The Core Invention — Active EM Rotor + Stator Conventional Motor This InventionStator: active EM windings ✅ Stator: active EM windings ✅Rotor: permanent magnets ❌ (or cage induction) Rotor: active EM windings ✅Rotor field is fixed or induced Rotor field is independently controllableTorque limited by magnet temperature (80-200°C) Torque unlimited by magnets — operates >500°CRare-earth magnets required No rare-earth minerals — only copper and steelSingle monolithic unit Modular — multiple identical stages This is the invention: Both stator and rotor are active, multi-phase, AI-controlled electromagnetic systems. Torque comes from EM wave interference, not from physical rotation. --- The Zero RPM, Full Torque Mechanism Configuration Stator EM Wave Rotor EM Wave Physical Rotor Speed TorqueSame direction, same frequency → 120 Hz → 120 Hz 0 RPM FULLOpposite direction, same frequency → 120 Hz ← 120 Hz 240 RPM FULLStator only, rotor free → 120 Hz 0 Hz Rotor accelerates to follow FULL Torque comes from EM wave interference, not from physical motion. This eliminates the need for clutches, gearboxes, and transmissions. --- Technical Specifications Multi-Stage Radial Flux Motor (Linear Configuration) Parameter SpecificationConfiguration 3+ identical radial flux modules on a single common shaftStator Active 3+ ","url":"https://doi.org/10.5281/zenodo.20000261","authors":["Usman Malik, Muhammad"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.20000261","addedAt":"2026-08-31T06:39:36.894Z","updatedAt":"2026-08-31T06:39:38.600Z"},{"id":"doi:10.5281/zenodo.20265251","name":"ITU and Transportation & Logistics: A Single-Axiom View of Road, Rail/HSR, Air/Space, Maritime, EV, Autonomous Vehicles, Logistics, and Urban Mobility — Pass-1 Extension Paper #10, Block D 2/5","source":"datacite","abstract":"We apply the Information-Theoretic Unification (ITU) framework (Terada 2026,concept DOI 10.5281/zenodo.20109209; Tier 0 v3.0 at 10.5281/zenodo.20200156) totransportation and logistics. Tier 1 paper #40, tenth paper of Pass-1extension, Block D 2/5 = 40% (after #39 Manufacturing). Introduces K_transport across 8 sub-states (road, rail, air, maritime, EV,AV, logistics, urban). ITU axiom delta S = delta verified to machineprecision (rel_err = 0) in 11 contexts. 40-vertex ITU polytope. Theoretical position: Transportation = K-state spatial mobility realizationmechanism. Each mode = K-state energy + control + network configuration. Key results:- History: BC 4000 wheel (Sumer), 1804 Trevithick steam locomotive, 1825 Stockton-Darlington first railway, 1869 Suez Canal (Lesseps), 1903 Wright Brothers Kitty Hawk (12 sec 36 m), 1914 Panama Canal, 1964.10.1 Shinkansen Tokaido (210 km/h, world's first HSR), 1969 Apollo 11 + Boeing 747, 1976-2003 Concorde Mach 2, 2008 Tesla Roadster, 2024 Mechazilla. Global transport 2024 $7.5T, 1.5B cars + 400M trucks + 28K aircraft + 99K ships- Road / Urban: Autobahn Cologne-Bonn 1932, US Interstate 1956 (77K km), China Expressway 175K km (#1 world), Toyota 2023 11.2M sales #1, BYD 2023 Q4 surpasses Tesla BEV, Norway 88% EV share #1, Tokyo metro 3.6B rides/yr, Shinjuku 3.5M/day #1 station, Curitiba BRT 1974 world's first, Carlos Moreno 15-min city 2016 Sorbonne, Paris -40% car (2020-2024), Helsinki MaaS 2014 world's first, Sweden Vision Zero 1997 (2.2 deaths/ 100K vs world 1.19M deaths/yr WHO 2023)- Rail / HSR / Maglev: Shinkansen 1964 (Tokaido 210 km/h, now 285 km/h N700S), Alfa-X test 405 km/h, France TGV 1981, China CRH 2007, China HSR 45,000 km (70% global), Shanghai Maglev 431 km/h commercial 2004, JR L0 record 603 km/h 2015, Chuo Shinkansen Tokyo-Nagoya 40-min (2034+ delayed), Hyperloop Musk 2013 Alpha skepticism, Eurostar 1994 Channel Tunnel, world rail 1.5M km / 60K HSR, rail CO2 35 g/pkm vs car 170- Air / Space: Wright 1903.12.17, Boeing 747 1969, Concorde 1976-2003, A380 2007-2021 (251 built), Boeing 737 MAX crashes 2018-19 (Lion Air 189 + Ethiopian 157 = 346 deaths), Alaska Airlines 1282 door 2024.1, Airbus 55% market 2024 (overtook Boeing 2019), Atlanta ATL 105M #1 airport, Dubai DXB 87M, SpaceX Falcon 9 1st landing 2015.12 (reusability revolution), 130+ launches/yr 2024 (80% global orbit), Starlink 6,500+ satellites, Crew Dragon DEMO-2 2020.5, Mechazilla Starship IFT-5 tower catch 2024.10 (Booster B12), Starship 120 m / 150 t LEO payload, eVTOL emergence (Joby $6.6B IPO 2021, EHang EH216-S 2024 commercial cert, Volocopter Paris Olympics 2024, Lilium bankruptcy 2024), SAF mandate EU 2% 2025 / 70% 2050- Maritime: McLean container revolution 1956.4.26 Ideal-X (loading 24-48 hr -> 24 min, cost $5.83 -> $0.16 /ton = 35x), container ship 200 -> 24,000 TEU (1956-2024 100x in 70 yr), MSC #1 carrier 5.9M TEU, Maersk #2 4.3M, Shanghai port #1 49M TEU/yr (top 9 of 10 ports Asian), Suez 1869 + Sisi extension 2015 + Ever Given 2021 (6 days, $9B/day), 2023-24 Houthi attacks Red Sea (-50% Suez traffic), Panama Canal 1914 + 2016 expansion + 2024 drought (-40% transits), Yara Birkeland 2018 world's first autonomous + electric Norway, IMO net-zero 2050 (2023.7), maritime CO2 3% global 1.1 Gt- EV revolution: Tesla Roadster 2008 (lithium-ion 391 km), Nissan Leaf 2010 first mass-market, Tesla Model 3 2017 mass launch, Tesla Y best-selling all-vehicles 2023, Tesla 2024 ~1.8M sales $97B revenue, BYD founded 1995 + 2003 auto + Berkshire Hathaway 2008 invest, 2023 Q4 BYD surpasses Tesla BEV (526K vs 484K), 2024 3M+ BYD sold, BYD Blade Battery LFP 2020, Global EV sales 2023 14.2M (18% share), China 38%, EU 22%, US 9%, Japan 3.5%, Norway 88% leader, Goodenough-Whittingham- Yoshino Nobel Chemistry 2019, Li-ion 90 (1991) -> 300 Wh/kg (2024 3.3x), Tesla 4680 cell (+16% range), battery pack $139/kWh 2024 (BloombergNEF) toward $100 ICE-parity, LFP 40%+ share growing, Supercharger NACS 2023 Ford/GM/Hyundai/Stellantis adoption","url":"https://doi.org/10.5281/zenodo.20265251","authors":["Terada, Munehiro"],"tags":["Transportation","transportation","logistics","Electric vehicles","electric vehicles","Autonomous vehicles","autonomous vehicles","High-speed railway"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.20265251","addedAt":"2026-08-31T06:39:36.894Z","updatedAt":"2026-08-31T06:39:52.013Z"},{"id":"doi:10.5281/zenodo.20265252","name":"ITU and Transportation & Logistics: A Single-Axiom View of Road, Rail/HSR, Air/Space, Maritime, EV, Autonomous Vehicles, Logistics, and Urban Mobility — Pass-1 Extension Paper #10, Block D 2/5","source":"datacite","abstract":"We apply the Information-Theoretic Unification (ITU) framework (Terada 2026,concept DOI 10.5281/zenodo.20109209; Tier 0 v3.0 at 10.5281/zenodo.20200156) totransportation and logistics. Tier 1 paper #40, tenth paper of Pass-1extension, Block D 2/5 = 40% (after #39 Manufacturing). Introduces K_transport across 8 sub-states (road, rail, air, maritime, EV,AV, logistics, urban). ITU axiom delta S = delta verified to machineprecision (rel_err = 0) in 11 contexts. 40-vertex ITU polytope. Theoretical position: Transportation = K-state spatial mobility realizationmechanism. Each mode = K-state energy + control + network configuration. Key results:- History: BC 4000 wheel (Sumer), 1804 Trevithick steam locomotive, 1825 Stockton-Darlington first railway, 1869 Suez Canal (Lesseps), 1903 Wright Brothers Kitty Hawk (12 sec 36 m), 1914 Panama Canal, 1964.10.1 Shinkansen Tokaido (210 km/h, world's first HSR), 1969 Apollo 11 + Boeing 747, 1976-2003 Concorde Mach 2, 2008 Tesla Roadster, 2024 Mechazilla. Global transport 2024 $7.5T, 1.5B cars + 400M trucks + 28K aircraft + 99K ships- Road / Urban: Autobahn Cologne-Bonn 1932, US Interstate 1956 (77K km), China Expressway 175K km (#1 world), Toyota 2023 11.2M sales #1, BYD 2023 Q4 surpasses Tesla BEV, Norway 88% EV share #1, Tokyo metro 3.6B rides/yr, Shinjuku 3.5M/day #1 station, Curitiba BRT 1974 world's first, Carlos Moreno 15-min city 2016 Sorbonne, Paris -40% car (2020-2024), Helsinki MaaS 2014 world's first, Sweden Vision Zero 1997 (2.2 deaths/ 100K vs world 1.19M deaths/yr WHO 2023)- Rail / HSR / Maglev: Shinkansen 1964 (Tokaido 210 km/h, now 285 km/h N700S), Alfa-X test 405 km/h, France TGV 1981, China CRH 2007, China HSR 45,000 km (70% global), Shanghai Maglev 431 km/h commercial 2004, JR L0 record 603 km/h 2015, Chuo Shinkansen Tokyo-Nagoya 40-min (2034+ delayed), Hyperloop Musk 2013 Alpha skepticism, Eurostar 1994 Channel Tunnel, world rail 1.5M km / 60K HSR, rail CO2 35 g/pkm vs car 170- Air / Space: Wright 1903.12.17, Boeing 747 1969, Concorde 1976-2003, A380 2007-2021 (251 built), Boeing 737 MAX crashes 2018-19 (Lion Air 189 + Ethiopian 157 = 346 deaths), Alaska Airlines 1282 door 2024.1, Airbus 55% market 2024 (overtook Boeing 2019), Atlanta ATL 105M #1 airport, Dubai DXB 87M, SpaceX Falcon 9 1st landing 2015.12 (reusability revolution), 130+ launches/yr 2024 (80% global orbit), Starlink 6,500+ satellites, Crew Dragon DEMO-2 2020.5, Mechazilla Starship IFT-5 tower catch 2024.10 (Booster B12), Starship 120 m / 150 t LEO payload, eVTOL emergence (Joby $6.6B IPO 2021, EHang EH216-S 2024 commercial cert, Volocopter Paris Olympics 2024, Lilium bankruptcy 2024), SAF mandate EU 2% 2025 / 70% 2050- Maritime: McLean container revolution 1956.4.26 Ideal-X (loading 24-48 hr -> 24 min, cost $5.83 -> $0.16 /ton = 35x), container ship 200 -> 24,000 TEU (1956-2024 100x in 70 yr), MSC #1 carrier 5.9M TEU, Maersk #2 4.3M, Shanghai port #1 49M TEU/yr (top 9 of 10 ports Asian), Suez 1869 + Sisi extension 2015 + Ever Given 2021 (6 days, $9B/day), 2023-24 Houthi attacks Red Sea (-50% Suez traffic), Panama Canal 1914 + 2016 expansion + 2024 drought (-40% transits), Yara Birkeland 2018 world's first autonomous + electric Norway, IMO net-zero 2050 (2023.7), maritime CO2 3% global 1.1 Gt- EV revolution: Tesla Roadster 2008 (lithium-ion 391 km), Nissan Leaf 2010 first mass-market, Tesla Model 3 2017 mass launch, Tesla Y best-selling all-vehicles 2023, Tesla 2024 ~1.8M sales $97B revenue, BYD founded 1995 + 2003 auto + Berkshire Hathaway 2008 invest, 2023 Q4 BYD surpasses Tesla BEV (526K vs 484K), 2024 3M+ BYD sold, BYD Blade Battery LFP 2020, Global EV sales 2023 14.2M (18% share), China 38%, EU 22%, US 9%, Japan 3.5%, Norway 88% leader, Goodenough-Whittingham- Yoshino Nobel Chemistry 2019, Li-ion 90 (1991) -> 300 Wh/kg (2024 3.3x), Tesla 4680 cell (+16% range), battery pack $139/kWh 2024 (BloombergNEF) toward $100 ICE-parity, LFP 40%+ share growing, Supercharger NACS 2023 Ford/GM/Hyundai/Stellantis adoption","url":"https://doi.org/10.5281/zenodo.20265252","authors":["Terada, Munehiro"],"tags":["Transportation","transportation","logistics","Electric vehicles","electric vehicles","Autonomous vehicles","autonomous vehicles","High-speed railway"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.20265252","addedAt":"2026-08-31T06:39:36.894Z","updatedAt":"2026-08-31T06:39:52.013Z"},{"id":"doi:10.5281/zenodo.19573670","name":"Next-Generation Single-Passenger eVTOL Architecture: A High-Performance, Production-Ready Design Paradigm","source":"datacite","abstract":"Next-Generation Single-Passenger eVTOL Architecture: A High-Performance, Production-Ready Design Paradigm Introduction: The Imperative for a Paradigm Shift in Personal Aerial Mobility The aerospace sector is currently undergoing a profound metamorphosis, catalyzed by the rapid maturation of distributed electric propulsion (DEP), advanced composite manufacturing, and high-density energy storage. At the nexus of this transformation lies the electric vertical takeoff and landing (eVTOL) aircraft, a platform category poised to redefine urban air mobility (UAM), logistics, and personal transportation.1 Over the past half-decade, a highly publicized sub-sector has emerged: the single-passenger, personal eVTOL. Ostensibly designed to democratize flight, these vehicles combine the vertical lift capabilities of traditional rotorcraft with the mechanical simplicity of multirotor drones.1 However, despite substantial capitalization and enthusiastic public reception, the current state-of-the-art in this category remains fundamentally constrained by a confluence of aerodynamic inefficiencies, outdated regulatory frameworks, and the gravimetric limitations of conventional lithium-ion battery technology.4 The mandate to design a production-ready, single-passenger drone that comprehensively surpasses all known performance metrics requires a total departure from the incremental engineering that characterizes the contemporary market. Current platforms, while mechanically elegant, function primarily as low-endurance recreational vehicles rather than practical, point-to-point transportation assets. To shatter existing benchmarks—specifically regarding cruise velocity, operational range, acoustic stealth, and payload capacity—engineers must abandon the multirotor and lift-plus-cruise architectures that dominate the sector.6 This comprehensive research report presents an exhaustive architectural, aerodynamic, and manufacturing blueprint for a next-generation personal eVTOL. By synthesizing aerodynamically optimized tilt-wing structures, ultra-high-density solid-state batteries (SSBs), yokeless axial flux electric motors, silicon carbide (SiC) power electronics, toroidal acoustic suppression systems, and military-grade micro-SWaP (Size, Weight, and Power) avionics, the proposed paradigm establishes a compounding positive design spiral. Furthermore, this report details the transition from bespoke prototyping to high-volume commercial production, heavily leveraging Design for Manufacturing (DFM) principles, automated fiber placement (AFP), and automotive-scale assembly methodologies to ensure the platform is fundamentally production-ready.8 Critical Analysis of the Contemporary Personal eVTOL Landscape To objectively quantify the metrics that must be surpassed, it is requisite to evaluate the current vanguard of single-passenger eVTOLs. The market is presently defined by platforms engineered to comply with the Federal Aviation Administration (FAA) Part 103 regulations for Ultralight Vehicles.11 While Part 103 circumvents the need for formal pilot certification, it imposes draconian limitations: an empty weight cap of 254 pounds (115 kg), a maximum fuel equivalent of five gallons, and a maximum level-flight speed of 63 mph (101 km/h).13 Evaluation of Current Market Leaders The most prominent platforms currently in low-rate initial production or advanced flight testing include the Jetson ONE, the Pivotal Helix, the Ryse Recon, and the Doroni H1-X. An analysis of their performance envelopes reveals a stark homogenization of capabilities, dictated primarily by the physical limitations of their multirotor or simple vectored-thrust configurations. Aircraft Model Aerodynamic Configuration Top Speed (km/h) Maximum Flight Time / Range Empty Weight (kg) Propulsion Architecture Base Price (USD) Jetson ONE Open-frame Multirotor 102 (63 mph) 20 minutes (~18 km) 55 (121 lbs) without batteries; 115 (253 lbs) with batteries 8 Electric Brushless Motors 14 $148,000 19 ","url":"https://doi.org/10.5281/zenodo.19573670","authors":["Brewer, Mark Anthony"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.19573670","addedAt":"2026-08-31T06:39:36.894Z","updatedAt":"2026-08-31T06:40:00.496Z"},{"id":"doi:10.5281/zenodo.19573669","name":"Next-Generation Single-Passenger eVTOL Architecture: A High-Performance, Production-Ready Design Paradigm","source":"datacite","abstract":"Next-Generation Single-Passenger eVTOL Architecture: A High-Performance, Production-Ready Design Paradigm Introduction: The Imperative for a Paradigm Shift in Personal Aerial Mobility The aerospace sector is currently undergoing a profound metamorphosis, catalyzed by the rapid maturation of distributed electric propulsion (DEP), advanced composite manufacturing, and high-density energy storage. At the nexus of this transformation lies the electric vertical takeoff and landing (eVTOL) aircraft, a platform category poised to redefine urban air mobility (UAM), logistics, and personal transportation.1 Over the past half-decade, a highly publicized sub-sector has emerged: the single-passenger, personal eVTOL. Ostensibly designed to democratize flight, these vehicles combine the vertical lift capabilities of traditional rotorcraft with the mechanical simplicity of multirotor drones.1 However, despite substantial capitalization and enthusiastic public reception, the current state-of-the-art in this category remains fundamentally constrained by a confluence of aerodynamic inefficiencies, outdated regulatory frameworks, and the gravimetric limitations of conventional lithium-ion battery technology.4 The mandate to design a production-ready, single-passenger drone that comprehensively surpasses all known performance metrics requires a total departure from the incremental engineering that characterizes the contemporary market. Current platforms, while mechanically elegant, function primarily as low-endurance recreational vehicles rather than practical, point-to-point transportation assets. To shatter existing benchmarks—specifically regarding cruise velocity, operational range, acoustic stealth, and payload capacity—engineers must abandon the multirotor and lift-plus-cruise architectures that dominate the sector.6 This comprehensive research report presents an exhaustive architectural, aerodynamic, and manufacturing blueprint for a next-generation personal eVTOL. By synthesizing aerodynamically optimized tilt-wing structures, ultra-high-density solid-state batteries (SSBs), yokeless axial flux electric motors, silicon carbide (SiC) power electronics, toroidal acoustic suppression systems, and military-grade micro-SWaP (Size, Weight, and Power) avionics, the proposed paradigm establishes a compounding positive design spiral. Furthermore, this report details the transition from bespoke prototyping to high-volume commercial production, heavily leveraging Design for Manufacturing (DFM) principles, automated fiber placement (AFP), and automotive-scale assembly methodologies to ensure the platform is fundamentally production-ready.8 Critical Analysis of the Contemporary Personal eVTOL Landscape To objectively quantify the metrics that must be surpassed, it is requisite to evaluate the current vanguard of single-passenger eVTOLs. The market is presently defined by platforms engineered to comply with the Federal Aviation Administration (FAA) Part 103 regulations for Ultralight Vehicles.11 While Part 103 circumvents the need for formal pilot certification, it imposes draconian limitations: an empty weight cap of 254 pounds (115 kg), a maximum fuel equivalent of five gallons, and a maximum level-flight speed of 63 mph (101 km/h).13 Evaluation of Current Market Leaders The most prominent platforms currently in low-rate initial production or advanced flight testing include the Jetson ONE, the Pivotal Helix, the Ryse Recon, and the Doroni H1-X. An analysis of their performance envelopes reveals a stark homogenization of capabilities, dictated primarily by the physical limitations of their multirotor or simple vectored-thrust configurations. Aircraft Model Aerodynamic Configuration Top Speed (km/h) Maximum Flight Time / Range Empty Weight (kg) Propulsion Architecture Base Price (USD) Jetson ONE Open-frame Multirotor 102 (63 mph) 20 minutes (~18 km) 55 (121 lbs) without batteries; 115 (253 lbs) with batteries 8 Electric Brushless Motors 14 $148,000 19 ","url":"https://doi.org/10.5281/zenodo.19573669","authors":["Brewer, Mark Anthony"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.19573669","addedAt":"2026-08-31T06:39:36.894Z","updatedAt":"2026-08-31T06:40:00.496Z"},{"id":"doi:10.5281/zenodo.17769052","name":"SkyHauler™: The ARPC-Powered Heavy-Lift Urban Cargo Aircraft","source":"datacite","abstract":"SkyHauler™: The ARPC-Powered Heavy-Lift Urban Cargo Aircraft White Paper | Public Release v1.0 Certified: CollectiveOS | Governance: GATA PRIME-Aligned | License: COHL-1.0 + CERN-OHL v2 Date: November 2025 1. Executive Summary The global logistical infrastructure stands at a precipice. The convergence of rapid urbanization, just-in-time supply chain fragility, and the urgent necessity for decarbonization has exposed a critical gap in our transport capabilities. We possess efficient long-haul air freight and ubiquitous last-mile van delivery, yet the \"middle mile\"—the rapid, point-to-point transport of heavy, critical payloads (50kg to 150kg) across complex urban and alpine environments—remains unsolved. Traditional solutions are failing: helicopters are economically and acoustically prohibitive, while conventional electric drones are shackled by the thermodynamic limitations of lithium-ion chemistry, rendering them incapable of meaningful heavy-lift operations beyond trivial ranges. This White Paper introduces SkyHauler™, a heavy-lift Unmanned Aerial System (UAS) that fundamentally resolves this paralysis. SkyHauler is not merely an iterative improvement in drone technology; it is the first kinetic application of the Janus-Era Scientific Framework. By fusing the thermodynamic abundance of the Adaptive Resonance Power Cell (ARPC) with the cryptographic safety of the Patent-Free Science (PFS) governance layer, SkyHauler achieves a performance envelope previously deemed physically impossible for electric vertical takeoff and landing (eVTOL) aircraft. The SkyHauler platform is engineered to deliver a rated payload of 100 kilograms over operational radii exceeding 120 kilometers, operating reliably in thermal extremes from -35°C to +78°C. This capability is not theoretical; it is the direct result of integrating the ARPC Primary System, which delivers an energy density of 600–900 Wh/kg—a 3.1x multiplier over the industry-standard lithium-polymer baseline.1 By decoupling power density from energy density via a structural Supercapacitor Lattice, and recovering waste heat through Quantum Metal thermal engines, SkyHauler transcends the \"range anxiety\" that has historically grounded electric heavy-lift ambitions. However, physical capability alone is insufficient in an era of heightened geopolitical tension and safety consciousness. The deployment of heavy-lift autonomous systems raises legitimate concerns regarding dual-use proliferation, public safety, and algorithmic accountability. SkyHauler addresses these through a radical Governance-as-Code architecture. It is the first commercially locked, Zero-Trust logistics platform governed by CollectiveOS. Flight authorization, payload verification, and airspace compliance are not discretionary choices made by a pilot; they are cryptographic constraints enforced by the GATA PRIME hardware security module. Every component, from the carbon fiber weave of the airframe to the Living Fibonacci Engine (LFE) flight control laws, is verified via the Foundational Recognition Protocol (FRP), creating an immutable lineage of accountability stored in the WORM Proof Vault.1 This document provides a comprehensive technical, operational, and economic analysis of the SkyHauler system. It details the Coaxial X8-H airframe dynamics, the quantum-thermodynamic cycles of the ARPC energy core, and the Constraint-Native avionics that allow the aircraft to \"surf\" atmospheric turbulence rather than fight it. Furthermore, it outlines the Human Global Science Collective (HGSC) diplomatic framework that allows this powerful technology to be distributed as a global public good—protected from patent enclosure and weaponization—ensuring that the future of logistics is built on abundance, transparency, and verified trust. 2. Introduction: The Kinetic and Governance Gap in Heavy-Lift Logistics The trajectory of urban air mobility (UAM) has been defined by a persistent chasm between promise and physics. For a decade, the in","url":"https://doi.org/10.5281/zenodo.17769052","authors":["Brewer, Mark Anthony"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.17769052","addedAt":"2026-08-31T06:39:36.894Z","updatedAt":"2026-08-31T06:39:59.256Z"},{"id":"doi:10.5281/zenodo.17769053","name":"SkyHauler™: The ARPC-Powered Heavy-Lift Urban Cargo Aircraft","source":"datacite","abstract":"SkyHauler™: The ARPC-Powered Heavy-Lift Urban Cargo Aircraft White Paper | Public Release v1.0 Certified: CollectiveOS | Governance: GATA PRIME-Aligned | License: COHL-1.0 + CERN-OHL v2 Date: November 2025 1. Executive Summary The global logistical infrastructure stands at a precipice. The convergence of rapid urbanization, just-in-time supply chain fragility, and the urgent necessity for decarbonization has exposed a critical gap in our transport capabilities. We possess efficient long-haul air freight and ubiquitous last-mile van delivery, yet the \"middle mile\"—the rapid, point-to-point transport of heavy, critical payloads (50kg to 150kg) across complex urban and alpine environments—remains unsolved. Traditional solutions are failing: helicopters are economically and acoustically prohibitive, while conventional electric drones are shackled by the thermodynamic limitations of lithium-ion chemistry, rendering them incapable of meaningful heavy-lift operations beyond trivial ranges. This White Paper introduces SkyHauler™, a heavy-lift Unmanned Aerial System (UAS) that fundamentally resolves this paralysis. SkyHauler is not merely an iterative improvement in drone technology; it is the first kinetic application of the Janus-Era Scientific Framework. By fusing the thermodynamic abundance of the Adaptive Resonance Power Cell (ARPC) with the cryptographic safety of the Patent-Free Science (PFS) governance layer, SkyHauler achieves a performance envelope previously deemed physically impossible for electric vertical takeoff and landing (eVTOL) aircraft. The SkyHauler platform is engineered to deliver a rated payload of 100 kilograms over operational radii exceeding 120 kilometers, operating reliably in thermal extremes from -35°C to +78°C. This capability is not theoretical; it is the direct result of integrating the ARPC Primary System, which delivers an energy density of 600–900 Wh/kg—a 3.1x multiplier over the industry-standard lithium-polymer baseline.1 By decoupling power density from energy density via a structural Supercapacitor Lattice, and recovering waste heat through Quantum Metal thermal engines, SkyHauler transcends the \"range anxiety\" that has historically grounded electric heavy-lift ambitions. However, physical capability alone is insufficient in an era of heightened geopolitical tension and safety consciousness. The deployment of heavy-lift autonomous systems raises legitimate concerns regarding dual-use proliferation, public safety, and algorithmic accountability. SkyHauler addresses these through a radical Governance-as-Code architecture. It is the first commercially locked, Zero-Trust logistics platform governed by CollectiveOS. Flight authorization, payload verification, and airspace compliance are not discretionary choices made by a pilot; they are cryptographic constraints enforced by the GATA PRIME hardware security module. Every component, from the carbon fiber weave of the airframe to the Living Fibonacci Engine (LFE) flight control laws, is verified via the Foundational Recognition Protocol (FRP), creating an immutable lineage of accountability stored in the WORM Proof Vault.1 This document provides a comprehensive technical, operational, and economic analysis of the SkyHauler system. It details the Coaxial X8-H airframe dynamics, the quantum-thermodynamic cycles of the ARPC energy core, and the Constraint-Native avionics that allow the aircraft to \"surf\" atmospheric turbulence rather than fight it. Furthermore, it outlines the Human Global Science Collective (HGSC) diplomatic framework that allows this powerful technology to be distributed as a global public good—protected from patent enclosure and weaponization—ensuring that the future of logistics is built on abundance, transparency, and verified trust. 2. Introduction: The Kinetic and Governance Gap in Heavy-Lift Logistics The trajectory of urban air mobility (UAM) has been defined by a persistent chasm between promise and physics. For a decade, the in","url":"https://doi.org/10.5281/zenodo.17769053","authors":["Brewer, Mark Anthony"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.17769053","addedAt":"2026-08-31T06:39:36.894Z","updatedAt":"2026-08-31T06:39:59.256Z"},{"id":"doi:10.48550/arxiv.2510.03497","name":"Machine Learning-Driven Prediction of Lithium-Ion Battery Power Capability for eVTOL Aircraft","source":"datacite","abstract":"Electric vertical take-off and landing (eVTOL) aircraft have emerged as a promising solution to transform urban transportation. They present a few technical challenges for battery management, a prominent one of which is the prediction of the power capability of their lithium-ion battery systems. The challenge originates from the high C-rate discharging conditions required during eVTOL flights as well as the complexity of lithium-ion batteries' electro-thermal dynamics. This paper, for the first time, formulates a power limit prediction problem for eVTOL which explicitly considers long prediction horizons and the possible occurrence of emergency landings. We then harness machine learning to solve this problem in two intertwined ways. First, we adopt a dynamic model that integrates physics with machine learning to predict a lithium-ion battery's voltage and temperature behaviors with high accuracy. Second, while performing search for the maximum power, we leverage machine learning to predict the remaining discharge time and use the prediction to accelerate the search with fast computation. Our validation results show the effectiveness of the proposed study for eVTOL operations.","url":"https://doi.org/10.48550/arxiv.2510.03497","authors":["Tu, Hao","Wang, Yebin","Mou, Shaoshuai","Fang, Huazhen"],"tags":["Systems and Control (eess.SY)","FOS: Electrical engineering, electronic engineering, information engineering"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.48550/arxiv.2510.03497","addedAt":"2026-08-31T06:39:36.894Z","updatedAt":"2026-08-31T06:39:37.633Z"},{"id":"doi:10.5281/zenodo.17104476","name":"Dataset for the paper \"Multi-fidelity transonic aerodynamic loads estimation using Bayesian neural networks with transfer learning\"","source":"datacite","abstract":"This repository provides the multi-fidelity aerodynamic datasets used in:A. Vaiuso, G. Immordino, M. Righi, A. Da Ronch. \"Multi-fidelity transonic aerodynamic loads estimation using Bayesian neural networks with transfer learning.\" Aerospace Science and Technology, 163 (2025) 110301.https://doi.org/10.1016/j.ast.2025.110301 The datasets enable training, validation, and benchmarking of a surrogate model for transonic aerodynamic load prediction with quantified uncertainty. They include low-, mid-, and high-fidelity aerodynamic data for a finite wing test case in transonic conditions and a full eVTOL aircraft configuration. 1. Finite Wing – Benchmark Supercritical Wing (BSCW) Design space: Mach number ∈ [0.70 , 0.84] and Angle of Attach AoA ∈ [0, 4] deg. Low-fidelity (LF): 625 samples generated with XFoil (panel method with 3D corrections). Mid-fidelity (MF): 49 RANS simulations with SU2 (coarse 2.5M-cell hybrid grid, Spalart–Allmaras turbulence model). Grid Convergence Index ≈ 5.4%. High-fidelity (HF): 58 RANS simulations with SU2 (fine 15.6M-cell grid, GCI ≈ 0.6%). Of these, 7 samples were used for model fine-tuning, while 51 were retained as an independent HF test set. Outputs: lift coefficient (CL) and pitching moment coefficient (CM) relative to 30% chord. 2. Full–Configuration eVTOL Vehicle Geometry: 5-propeller configuration with four symmetric lift propellers (front/rear) and one tail-mounted pusher. Design space: AoA ∈ [−180 , 180] deg, freestream velocity U ∈ [0 , 40] m/s, and propeller RPM up to ±4000. Low-fidelity (LF): 2000 samples from Blade Element Momentum (BEM) methods with momentum-theory-based induced velocity corrections. Mid-fidelity (MF): 250 simulations using the DUST framework (Vortex Particle Method with nonlinear lifting-line). Between 30–40 lifting lines per blade; wing discretised with ~3000 panels per side. Outputs: thrust (KT) and torque (KQ) coefficients for each of the five propellers. PurposeThese datasets support the development of multi-fidelity machine-learning frameworks for transonic aerodynamics, providing training material for uncertainty-aware surrogate models. They are also relevant for applications in aeroelasticity, flight dynamics, and design of unconventional aircraft (e.g. eVTOLs). Contents Raw aerodynamic datasets at LF, MF, HF fidelities. Partitioning into training, validation, and independent test sets as described in the paper. Associated aerodynamic coefficients across Mach–AoA (BSCW) and AoA–velocity–RPM (eVTOL) parameter spaces. KeywordsMulti-fidelity modelling; Bayesian neural networks; transfer learning; uncertainty quantification; Benchmark Supercritical Wing; eVTOL aerodynamics; CFD; reduced-order modelling.","url":"https://doi.org/10.5281/zenodo.17104476","authors":["Immordino, Gabriele"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.17104476","addedAt":"2026-08-31T06:39:36.894Z","updatedAt":"2026-08-31T06:39:37.633Z"},{"id":"doi:10.5281/zenodo.17104475","name":"Dataset for the paper \"Multi-fidelity transonic aerodynamic loads estimation using Bayesian neural networks with transfer learning\"","source":"datacite","abstract":"This repository provides the multi-fidelity aerodynamic datasets used in:A. Vaiuso, G. Immordino, M. Righi, A. Da Ronch. \"Multi-fidelity transonic aerodynamic loads estimation using Bayesian neural networks with transfer learning.\" Aerospace Science and Technology, 163 (2025) 110301.https://doi.org/10.1016/j.ast.2025.110301 The datasets enable training, validation, and benchmarking of a surrogate model for transonic aerodynamic load prediction with quantified uncertainty. They include low-, mid-, and high-fidelity aerodynamic data for a finite wing test case in transonic conditions and a full eVTOL aircraft configuration. 1. Finite Wing – Benchmark Supercritical Wing (BSCW) Design space: Mach number ∈ [0.70 , 0.84] and Angle of Attach AoA ∈ [0, 4] deg. Low-fidelity (LF): 625 samples generated with XFoil (panel method with 3D corrections). Mid-fidelity (MF): 49 RANS simulations with SU2 (coarse 2.5M-cell hybrid grid, Spalart–Allmaras turbulence model). Grid Convergence Index ≈ 5.4%. High-fidelity (HF): 58 RANS simulations with SU2 (fine 15.6M-cell grid, GCI ≈ 0.6%). Of these, 7 samples were used for model fine-tuning, while 51 were retained as an independent HF test set. Outputs: lift coefficient (CL) and pitching moment coefficient (CM) relative to 30% chord. 2. Full–Configuration eVTOL Vehicle Geometry: 5-propeller configuration with four symmetric lift propellers (front/rear) and one tail-mounted pusher. Design space: AoA ∈ [−180 , 180] deg, freestream velocity U ∈ [0 , 40] m/s, and propeller RPM up to ±4000. Low-fidelity (LF): 2000 samples from Blade Element Momentum (BEM) methods with momentum-theory-based induced velocity corrections. Mid-fidelity (MF): 250 simulations using the DUST framework (Vortex Particle Method with nonlinear lifting-line). Between 30–40 lifting lines per blade; wing discretised with ~3000 panels per side. Outputs: thrust (KT) and torque (KQ) coefficients for each of the five propellers. PurposeThese datasets support the development of multi-fidelity machine-learning frameworks for transonic aerodynamics, providing training material for uncertainty-aware surrogate models. They are also relevant for applications in aeroelasticity, flight dynamics, and design of unconventional aircraft (e.g. eVTOLs). Contents Raw aerodynamic datasets at LF, MF, HF fidelities. Partitioning into training, validation, and independent test sets as described in the paper. Associated aerodynamic coefficients across Mach–AoA (BSCW) and AoA–velocity–RPM (eVTOL) parameter spaces. KeywordsMulti-fidelity modelling; Bayesian neural networks; transfer learning; uncertainty quantification; Benchmark Supercritical Wing; eVTOL aerodynamics; CFD; reduced-order modelling.","url":"https://doi.org/10.5281/zenodo.17104475","authors":["Immordino, Gabriele"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.17104475","addedAt":"2026-08-31T06:39:36.894Z","updatedAt":"2026-08-31T06:39:37.633Z"},{"id":"doi:10.4121/e221fc2f-6c79-4933-b7a7-2d6b28c21391.v1","name":"Code underlying the research of end-to-end predictive maintenance planning for eVTOL batteries","source":"datacite","abstract":"This repository contains the code developed for predictive maintenance planning simulations for a fleet of eVTOL (electric vertical take-off and landing) aircraft at Delft University of Technology, as part of Simon van Oosterom's PhD Thesis project (2025). It is being made public both to act as supplementary data for publications and the PhD thesis of Simon van Oosterom, and in order for other researchers to use this repository in their own work.","url":"https://doi.org/10.4121/e221fc2f-6c79-4933-b7a7-2d6b28c21391.v1","authors":["van Oosterom, Simon"],"tags":["Aerospace Transport","Applied Mathematics","FOS: Mathematics","Environmentally Sustainable Transport","Transport","Mathematical Sciences","predictive maintenance","eVTOL"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.4121/e221fc2f-6c79-4933-b7a7-2d6b28c21391.v1","addedAt":"2026-08-31T06:39:36.894Z","updatedAt":"2026-08-31T06:39:37.633Z"},{"id":"doi:10.4121/e221fc2f-6c79-4933-b7a7-2d6b28c21391","name":"Code underlying the research of end-to-end predictive maintenance planning for eVTOL batteries","source":"datacite","abstract":"This repository contains the code developed for predictive maintenance planning simulations for a fleet of eVTOL (electric vertical take-off and landing) aircraft at Delft University of Technology, as part of Simon van Oosterom's PhD Thesis project (2025). It is being made public both to act as supplementary data for publications and the PhD thesis of Simon van Oosterom, and in order for other researchers to use this repository in their own work.","url":"https://doi.org/10.4121/e221fc2f-6c79-4933-b7a7-2d6b28c21391","authors":["van Oosterom, Simon"],"tags":["Aerospace Transport","Applied Mathematics","FOS: Mathematics","Environmentally Sustainable Transport","Transport","Mathematical Sciences","predictive maintenance","eVTOL"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.4121/e221fc2f-6c79-4933-b7a7-2d6b28c21391","addedAt":"2026-08-31T06:39:36.894Z","updatedAt":"2026-08-31T06:39:37.633Z"},{"id":"doi:10.2514/6.2024-4511","name":"Development and Implementation of a Safety Gateway for a Medical Evacuation eVTOL Aircraft","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2024-4511","authors":["Dominik Heimsch","Max Söpper","Moritz Speckmaier","Zoe Mbikayi","Sebastian Kellringer","Florian Holzapfel"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-09-20T09:39:41Z","doi":"10.2514/6.2024-4511","addedAt":"2026-08-31T06:39:36.953Z","updatedAt":"2026-08-31T06:39:39.046Z"},{"id":"doi:10.2514/6.2024-1386","name":"Visual &amp; Inertial Datasets for an eVTOL Aircraft Approach and Landing Scenario","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2024-1386","authors":["Nelson Brown","Evan Kawamura","Luke Bard","A.J. Jaffe","Wayne Ringelberg","Keerthana Kannan","Corey A. Ippolito"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-01-29T16:55:09Z","doi":"10.2514/6.2024-1386","addedAt":"2026-08-31T06:39:36.953Z","updatedAt":"2026-08-31T06:39:39.046Z"},{"id":"doi:10.2514/6.2024-4422","name":"Design of the Nominal System Automation of a Cascaded Flight Control Architecture for a Multi-Crew eVTOL Aircraft","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2024-4422","authors":["Evangelos Huber","Johannes Bröcker","Tim Rupprecht","Florian Holzapfel"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-09-20T08:30:37Z","doi":"10.2514/6.2024-4422","addedAt":"2026-08-31T06:39:36.953Z","updatedAt":"2026-08-31T06:39:39.046Z"},{"id":"doi:10.2514/6.2024-4614","name":"Construction of Aerodynamic Database and Investigation of Power-On Effect for Lift-Cruise Type eVTOL Aircraft","source":"openalex","abstract":"The stability and operational procedures of UAM aircraft are validated using a flight simulator that simulates various flight scenarios in a virtual environment. The development of flight simulators requires an aerodynamic database (aero DB) which is implemented into the flight dynamic model of specific flight vehicles. This study presents the design and construction strategy of an aerodynamic database for a lift-cruise type eVTOL aircraft to be integrated into UAM flight simulators. This strategy applies the concept of the component build-up method with the DB classified into forward and hover flight modes. A two-stage sequential database construction is proposed, and the Aero DB, in the preliminary stage, is constructed. Additionally, the power-on effect, which is one of the components of the aerodynamic database in the second stage, is investigated by RANS-based CFD simulation using the sliding mesh method. Additionally, the power-on effect, which is one of the components of the aerodynamic database in the second stage, is investigated by RANS-based CFD simulation using the sliding mesh method.","url":"https://doi.org/10.2514/6.2024-4614","authors":["WOOSEUNG LEE","Myungsik Tai","Dahye Kim","Donghun Park","Seongwook Choi","Wooseung Lee"],"tags":["Cruise","Aerodynamics","Lift (data mining)","Aerospace engineering","Computer science"],"confidence":0.72,"sites":["low-altitude"],"publishedDate":"2024-07-27","doi":"10.2514/6.2024-4614","addedAt":"2026-08-31T06:39:36.953Z","updatedAt":"2026-08-31T14:45:35.251Z"},{"id":"doi:10.1088/1742-6596/2716/1/012013","name":"Energy management of an eVTOL aircraft with optimization based on the Equivalent Consumption Minimization Strategy (ECMS)","source":"crossref","abstract":"Abstract This article introduces an optimization-based energy management strategy developed and validated for electric vertical take-off and landing (eVTOL) aircraft. The primary objective of this strategy is to minimize hydrogen consumption while accounting for resource constraints, such as the battery and fuel cell, to enhance energy efficiency and sustainability while adhering to performance and safety requirements. The eVTOL employed in this research is an essential component of our “Viable” research project, featuring a hybrid propulsion system that combines batteries and fuel cells. To accomplish this, mathematical and computational techniques were employed using the equivalent consumption minimization strategy method to determine the optimal operational parameters for the eVTOL aircraft, considering the available energy resources. These techniques were implemented for the first time in MATLAB, enabling simulations of the aircraft’s performance under various conditions. The results demonstrate the efficacy of the energy management strategy in significantly reducing hydrogen consumption while maintaining optimal performance and safety. Graphs and comparative analyses are presented to highlight the evolution of hydrogen consumption compared to different parameters and to compare the approach with alternative methods. Furthermore, the article explores an alternative solution that offers related results and performance as MATLAB, utilizing the open-source software OpenModelica (OM). Energy management experiments using ECMS were conducted on OM, yielding highly satisfactory outcomes in terms of simulation accuracy and cost-effectiveness. The method was also evaluated in simulations of propulsive system resources, developed on OM, validating the results concerning energy distribution, compliance with constraints, and real-time feedback. In summary, this article presents a comprehensive strategy for effectively managing energy consumption in eVTOL aircraft. By leveraging simulations conducted in MATLAB and OM, the strategy’s effectiveness was assessed, with potential implications for advancing the sustainability of electric eVTOL aircraft.","url":"https://doi.org/10.1088/1742-6596/2716/1/012013","authors":["Meryem Taghbalout"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-03-13T13:46:53Z","doi":"10.1088/1742-6596/2716/1/012013","addedAt":"2026-08-31T06:39:36.953Z","updatedAt":"2026-08-31T06:39:39.046Z"},{"id":"doi:10.4050/f-0080-2024-1236","name":"Why It Takes More Energy to Decrease Rotor/Propeller Noise for eVTOL Aircraft","source":"crossref","abstract":"In the emerging market of Advanced Air Mobility (AAM), aerospace companies have been designing and prototyping electric and hybrid vehicles to revolutionize travel. These vehicles must have low noise and particulate emissions while also having enough propulsive efficiency to complete the mission. This paper presents the relationship between noise and propulsive efficiency as related to any aircraft equipped with an electric motor and a variable pitch rotor/propeller. The combination of the electric motor with the variable pitch propeller/rotor allows for a decoupled rotational speed and torque generation, meaning that the electric motor can generate the same amount of torque while operating at different rotational speeds. This feature allows the rotor/propeller to hold constant thrust at different combinations of rotational speeds and torque, by adjusting the collective pitch of the blades. Therefore, for a rotor at constant thrust, the minimum noise (from loading and thickness contributions) and minimum power operating points in terms of rotor RPM and collective blade pitch, are not the same thus leading to the fact that it takes increased energy to decrease noise. A MATLAB code is developed to investigate the power and noise relationship by employing several functions to integrate XFOIL and Blade Element Momentum Theory for the rotor performance calculations and WOPWOP for thickness and loading noise analysis.","url":"https://doi.org/10.4050/f-0080-2024-1236","authors":["Riccardo Roiati","Xavier Santacruz","Richard Anderson"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-06-20T18:36:15Z","doi":"10.4050/f-0080-2024-1236","addedAt":"2026-08-31T06:39:36.953Z","updatedAt":"2026-08-31T06:39:39.046Z"},{"id":"doi:10.4050/f-0080-2024-1279","name":"Full Flight Regime Controller Design for a Lift+Cruise eVTOL Aircraft","source":"openalex","abstract":"Full flight regime trim strategies are examined for a Lift+Cruise eVTOL aircraft. Control laws are designed for hover, transition, and cruise conditions to satisfy standard flying-qualities requirements based on the characteristic behavior of the vehicle (rotorcraft versus fixed wing) while ensuring realistic motor limits (peak and continuous) are satisfied. CONDUIT® is used to optimize control laws to minimize actuator activity while meeting flying-qualities constraints. Variable-RPM control is shown to be sufficient to satisfy Level 1 flying-qualities requirements in hover and low-speed flight where control surfaces have inadequate control authority. Time domain simulations are presented to verify controller performance and ensure actuator limits are not violated while following step commands. The aircraft is able to follow commands well in all axes and flight regimes. Transition through the full flight regime (hover to cruise) is simulated using a stitched model.","url":"https://doi.org/10.4050/f-0080-2024-1279","authors":["Alexander Keller","Farhan Gandhi","Robert Niemiec","Ariel Walter","A. Keller"],"tags":["Cruise","Lift (data mining)","Aeronautics","Aerospace engineering","Automotive engineering"],"confidence":0.72,"sites":["low-altitude"],"publishedDate":"2024-05-07","doi":"10.4050/f-0080-2024-1279","addedAt":"2026-08-31T06:39:36.953Z","updatedAt":"2026-08-31T14:45:35.251Z"},{"id":"doi:10.4050/sm-2024-tvf-5101","name":"Investigation of Vortex Ring State Onset in eVTOL Aircraft using Viscous Vortex Particle Method","source":"crossref","abstract":"This paper investigates the feasibility of using the Viscous Vortex Particle Method (VVPM) to simulate Vortex Ring State (VRS) and analyzes the detailed flow physics. Evaluating various rotor configurations, including isolated rotor, dual side-by-side rotors, coaxial rotors, and multiple rotors of a full eVTOL air vehicle configuration, the study found that VRS onset is accurately captured using VVPM. Statistical analysis and flowfield investigation help identify VRS onset, showing good agreement with literature for isolated rotor configurations. Roll rate effects on dual side-by-side rotors and mutual wake interactions in a coaxial rotor configuration were examined, and revealed valuable insights into the system behavior upon VRS onset. This study also investigated multi-rotor wake interaction in a full flight lift and cruise configuration, which exhibited larger thrust fluctuations in installed rotors compared to an isolated rotor in the same flow condition. More specifically, a detailed analysis of the full aircraft flowfield indicated a sideward trajectory of rotor wake vortices on the installed rotors, which interacted with vortices on the opposite end of the rotor disk, resulting in VRS onset. Additionally, the frequency content of the rotor thrust was evaluated, and the unsteady nature of the rotor wake induced various peaks at multiples of the blade passage frequency just prior to, and within the VRS regime for all configurations.","url":"https://doi.org/10.4050/sm-2024-tvf-5101","authors":["Jagdeep Batther","Jan Goericke","Chengjian Henderson"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-06-08T22:48:19Z","doi":"10.4050/sm-2024-tvf-5101","addedAt":"2026-08-31T06:39:36.953Z","updatedAt":"2026-08-31T06:39:39.046Z"},{"id":"doi:10.1109/wrcsara64167.2024.10685702","name":"Model Reference Adaptive Control for a Manned eVTOL Aircraft","source":"crossref","abstract":"","url":"https://doi.org/10.1109/wrcsara64167.2024.10685702","authors":["Xiaobo Wang","Wenyi Liang","Xufei Yan","Yiren Hu"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-09-27T18:27:55Z","doi":"10.1109/wrcsara64167.2024.10685702","addedAt":"2026-08-31T06:39:36.953Z","updatedAt":"2026-08-31T06:39:39.046Z"},{"id":"doi:10.4050/sm-2024-tvf-5062","name":"Acoustic Analysis and Design Optimization of eVTOL Aircraft Rotors Using FLIGHTLAB Acoustic Toolkit (FLAT)","source":"crossref","abstract":"In recent years, there has been an increasing demand for Advanced Air Mobility (AAM) to help alleviate strain on city transportation networks due to rapid urbanization. In this paper, an efficient noise prediction tool that couples comprehensive rotorcraft modeling, acoustic analysis, and design optimization in a user-friendly simulation environment is presented for evaluating and optimizing eVTOL rotor performance and acoustic characteristics. This tool features expanded acoustic noise prediction and analysis capability via a recently developed FLIGHTLAB® acoustic toolkit (FLAT), which computes unsteady tonal and broadband noise through a compact source approach. This solver couples seamlessly with the comprehensive modeling code to render informative results with minimal user effort and at a reasonable computational cost. Validation studies for a variety of rotors were carried out to assess the noise prediction capability of FLAT. These configurations include an isolated DJI-CF-9443 rotor, an isolated KDE-CF125 rotor, two side-by-side KDE-CF125 rotors, and an isolated Sensinech L26H propeller, Excellent agreement with experimental data is observed for both noise directivity and total noise predictions. In addition, a multi-objective design optimization study targeting improved performance and reduced noise signature was carried out on an eVTOL rotor, and results yielded lower power required and a quieter noise profile for the optimized configuration.","url":"https://doi.org/10.4050/sm-2024-tvf-5062","authors":["SeungJoon Yang","Jagdeep Batther","Chengjian He"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-06-08T22:48:19Z","doi":"10.4050/sm-2024-tvf-5062","addedAt":"2026-08-31T06:39:36.953Z","updatedAt":"2026-08-31T06:39:39.046Z"},{"id":"doi:10.1016/j.apenergy.2024.122848","name":"Novel battery power capability assessment for improved eVTOL aircraft landing","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.apenergy.2024.122848","authors":["Ollie Hatherall","Anup Barai","Mona Faraji Niri","Zeyuan Wang","James Marco"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-02-21T19:18:22Z","doi":"10.1016/j.apenergy.2024.122848","addedAt":"2026-08-31T06:39:36.953Z","updatedAt":"2026-08-31T06:39:39.046Z"},{"id":"doi:10.4050/f-0080-2024-0015","name":"Using the Task-Pilot-Vehicle (TPV) Approach to Investigate Envelope Protection Design for eVTOL Aircraft","source":"crossref","abstract":"Pilot models have been successfully utilized for design and analysis of rotorcraft for decades. These models are commonly used as analysis tools, usually coupled to flight dynamics models. A method that has been developed is the Task-Pilot-Vehicle (TPV) approach, which utilizes the pilot model in a specific task. This paper presents results from the application of the TPV approach to investigate envelope protection (EP) methods. Four EP methods were chosen for these studies, i) Control Limiting, ii) Command Limiting, iii) MPC Based, iv) Virtual Control Limiting. These methods are exercised with pilot models inside a specifically designed toolbox across several different vehicles, including representative Tiltwing and Quadrotor vehicles, and Handling Qualities Task Elements (HQTEs). Results show that each envelope protection method has advantages and disadvantages, ranging from ease of implementation to potential adverse interactions with the pilot-vehicle system. Overall, the TPV approach shows promise as a method to investigate EP methods for eVTOL/VTOL aircraft.","url":"https://doi.org/10.4050/f-0080-2024-0015","authors":["Dakota Musso","Michael Jones","Austin Berg"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-09-20T16:24:32Z","doi":"10.4050/f-0080-2024-0015","addedAt":"2026-08-31T06:39:36.953Z","updatedAt":"2026-08-31T06:39:39.046Z"},{"id":"doi:10.2514/6.2024-3587","name":"Trajectory Optimization of eVTOL and Conventional Aircraft: A Comparative Analysis of Vortex Particle Method and Vortex Lattice + Blade Element Momentum Theory","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2024-3587","authors":["Andrew C. Tagg","Ryan Anderson","Cibin Joseph","Andrew Ning"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-09-20T08:30:37Z","doi":"10.2514/6.2024-3587","addedAt":"2026-08-31T06:39:36.953Z","updatedAt":"2026-08-31T06:39:39.046Z"},{"id":"doi:10.2514/6.2024-3739","name":"Flight Guidance Command Generation for Fully Automatic Flight Missions of an eVTOL Aircraft in Areas Difficult To Access","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2024-3739","authors":["Simon P. Scherer","Pranav Bhardwaj","Daniel Gierszewski","Markus Rosenbauer","Florian Holzapfel"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-09-20T09:39:41Z","doi":"10.2514/6.2024-3739","addedAt":"2026-08-31T06:39:36.953Z","updatedAt":"2026-08-31T06:39:39.046Z"},{"id":"doi:10.4050/f-0080-2024-0040","name":"Active Vibration Damping and Harmonic Vibration Reduction in an eVTOL Aircraft Model Using Electric Rotor Torque","source":"crossref","abstract":"Rotorcraft experience significant vibrations due to periodic aerodynamic forces and moments on the rotor blades and wings. Rotor torque damping is a novel vibration damping method which uses small torque perturbations from the main electric motor to reduce vibrations. The large inertial and aerodynamic rotor loading and relatively high frequency torque perturbations mean that the rotor speed changes are small, so the rotor thrust and flight control performance are not significantly affected. This paper investigates the application of electric motor torque control for damping structural vibrations of an aircraft. The structural dynamics of the aircraft are represented using a finite element model of a quad tiltrotor eVTOL. Using collocated angular rate feedback on all four rotors provides more than 10% damping in controllable modes. The RMS value of flap-wise angular rate can be reduced by 91% with less than 1.2 RPM rotor speed change in response to a 20% vertical step gust in airplane mode. For N/rev disturbance cancellation, an optimal controller is designed assuming known disturbance location and frequency for active vibration control (AVC). The transfer matrix of a single cantilevered wing is calculated and used to feed forward harmonic rotor torques. The wing undergoes aerodynamic disruptions at N/rev and the harmonic controller reduces N/rev shear force and bending moment at the root by 20% and 58% with less than 1 RPM rotor speed change, respectively.","url":"https://doi.org/10.4050/f-0080-2024-0040","authors":["Changik Cho","Puneet Singh","Edward Smith","Christopher D. Rahn"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-09-20T14:39:28Z","doi":"10.4050/f-0080-2024-0040","addedAt":"2026-08-31T06:39:36.953Z","updatedAt":"2026-08-31T06:39:39.046Z"},{"id":"doi:10.5302/j.icros.2024.24.0112","name":"Longitudinal Attitude Control of eVTOL Aircraft Using Incremental Sliding Mode Control Driven by Sliding Mode Disturbance Observer","source":"crossref","abstract":"","url":"https://doi.org/10.5302/j.icros.2024.24.0112","authors":["Dong-Jun Shin","Hoijo Jeong","Seungkeun Kim","Jinyoung Suk"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-09-13T01:47:01Z","doi":"10.5302/j.icros.2024.24.0112","addedAt":"2026-08-31T06:39:36.953Z","updatedAt":"2026-08-31T06:39:39.046Z"},{"id":"doi:10.4050/sm-2024-tvf-5080","name":"Design of a Lift Plus Cruise eVTOL Aircraft with an Initial Fuselage Frame Design","source":"crossref","abstract":"To address urban traffic congestion, electric vertical take-off and landing (eVTOL) vehicles are proposed for urban air mobility (UAM). Many studies have investigated its conceptual design deriving extensive insights, but more analytical exploration is needed for the preliminary design and methodology bridging the conceptual and preliminary design phases. This paper proposes a conceptual design for a lift plus cruise (LPC) eVTOL vehicle, including the decision of battery placement in either the fuselage or the main wing. The study integrates various analysis tools like NDARC, DATCOM, VSPAERO, and MATLAB R2022a for weight estimation, flight performance analysis, and parametric studies. The structural design phase introduces an initial fuselage airframe design method, combining topology optimization, and a manual method of fuselage airframe design, followed by static structural and modal analyses. The analysis aims to ensure compliance with regulations, structural robustness, and prevention of resonance between the rotors and major natural modes of the fuselage in the designed LPC vehicle.","url":"https://doi.org/10.4050/sm-2024-tvf-5080","authors":["WonSeok Cha","SunHoo Park","ChiHyun Ahn","YooHo Chang","SangJoon Shin"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-06-08T22:48:19Z","doi":"10.4050/sm-2024-tvf-5080","addedAt":"2026-08-31T06:39:36.953Z","updatedAt":"2026-08-31T06:39:39.047Z"},{"id":"doi:10.1109/dasc62030.2024.10748868","name":"Developing Modular Vehicle and Flight Control Management Functions for eVTOL Aircraft: From Conceptual Design to Embedded Design Models","source":"crossref","abstract":"","url":"https://doi.org/10.1109/dasc62030.2024.10748868","authors":["Valentin A. Marvakov","Evangelos Huber","Florian Holzapfel"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-11-15T18:44:23Z","doi":"10.1109/dasc62030.2024.10748868","addedAt":"2026-08-31T06:39:36.953Z","updatedAt":"2026-08-31T06:39:39.046Z"},{"id":"doi:10.1109/cvci63518.2024.10830128","name":"A Deep Reinforcement Learning-Based Path Planning Algorithm for Urban eVTOL Aircraft","source":"crossref","abstract":"","url":"https://doi.org/10.1109/cvci63518.2024.10830128","authors":["Wenjie Liu","Weida Wang","Chao Yang","Tianqi Qie","Jiefei Ma","Yixin Zhang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-01-16T18:31:24Z","doi":"10.1109/cvci63518.2024.10830128","addedAt":"2026-08-31T06:39:36.953Z","updatedAt":"2026-08-31T06:39:39.046Z"},{"id":"doi:10.3390/aerospace11030195","name":"A Decentralized Voting and Monitoring Flight Control Actuation System for eVTOL Aircraft","source":"crossref","abstract":"The emergence of eVTOL (electrical Vertical Takeoff and Landing) aircraft necessitates the development of safe and efficient systems to meet stringent certification and operational requirements. The primary state-of-the-art technology for flight control actuation in eVTOL aircraft is electro-mechanical actuators (EMAs), which heavily rely on multiple redundancies of critical components to achieve fault tolerance. However, challenges persist in terms of insufficient reliability, immaturity, and a lack of a measurable evaluation method. This research addresses these issues by elucidating the design requirements for EMAs in eVTOL aircraft and proposing a systematic design and evaluation approach for EMA architecture. A key enhancement involves the incorporation of decentralized voting and monitoring (VoDeMo) mechanisms within the Electronic Control Units (ECUs) to improve the overall safety of the EMA. The paper introduces an innovative triple-dual redundant architecture for aircraft control effectors, comprising three dissimilar lanes of ECUs and two similar redundant parallel channels of power electronics and motors. The design is synergistically supported by a comprehensive evaluation that incorporates quantifiable Model-Based Safety Assessment (MBSA), utilizing both physical simulation and logical safety models. Hardware-In-the-Loop (HIL) tests are conducted on a constructed prototype to validate the proposed architecture.","url":"https://doi.org/10.3390/aerospace11030195","authors":["Ruichen He","Florian Holzapfel","Johannes Bröcker","Yi Lai","Shuguang Zhang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-02-29T05:59:19Z","doi":"10.3390/aerospace11030195","addedAt":"2026-08-31T06:39:36.953Z","updatedAt":"2026-08-31T06:39:39.046Z"},{"id":"doi:10.1016/j.est.2024.114402","name":"Key technologies and upgrade strategies for eVTOL aircraft energy storage systems","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.est.2024.114402","authors":["Jiaqi He","Qiang He","Zehua Xu","Yangyang Jia","Jiwen Wang","Kangshuai Li","Wenkai Tan"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-11-06T17:50:22Z","doi":"10.1016/j.est.2024.114402","addedAt":"2026-08-31T06:39:36.953Z","updatedAt":"2026-08-31T06:39:39.047Z"},{"id":"doi:10.1007/978-981-97-3998-1_66","name":"Aerodynamic Investigation of a New Layout for eVTOL Aircraft","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-981-97-3998-1_66","authors":["Guotao Chen","Jun Chow","Xiaotao Qiao"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-07-01T14:04:33Z","doi":"10.1007/978-981-97-3998-1_66","addedAt":"2026-08-31T06:39:36.953Z","updatedAt":"2026-08-31T06:39:39.047Z"},{"id":"doi:10.1007/978-981-97-3998-1_109","name":"Fluid Simulation of Aerodynamic Interference of a Multicopter Type eVTOL Aircraft","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-981-97-3998-1_109","authors":["Karin Okawa","Zhong Lei"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-07-01T14:05:00Z","doi":"10.1007/978-981-97-3998-1_109","addedAt":"2026-08-31T06:39:36.953Z","updatedAt":"2026-08-31T06:39:39.047Z"},{"id":"doi:10.1016/j.applthermaleng.2024.122988","name":"Optimisation of a liquid cooling system for eVTOL aircraft: Impact of sizing mission and battery size","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.applthermaleng.2024.122988","authors":["Chunrong Zhao","Juan Rasines Mazo","Dries Verstraete"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-03-20T18:23:54Z","doi":"10.1016/j.applthermaleng.2024.122988","addedAt":"2026-08-31T06:39:36.953Z","updatedAt":"2026-08-31T06:39:39.047Z"},{"id":"doi:10.1016/j.ast.2023.108835","name":"Optimisation of proprotors for tilt-wing eVTOL aircraft","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.ast.2023.108835","authors":["Shahfiq Shahjahan","Andrew Gong","Andrew Moore","Dries Verstraete"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-12-15T22:06:11Z","doi":"10.1016/j.ast.2023.108835","addedAt":"2026-08-31T06:39:36.953Z","updatedAt":"2026-08-31T06:39:39.047Z"},{"id":"doi:10.4271/2024-01-7021","name":"Predicting the Impact of Temperature on eVTOL Battery Systems Using\n                    Experimental Data from Airworthiness-Certified Fixed-Wing Electric\n                    Aircraft","source":"crossref","abstract":"&lt;div class=\"section abstract\"&gt;&lt;div class=\"htmlview paragraph\"&gt;This study leverages the temperature impact data obtained from the battery systems of airworthiness-certified fixed-wing electric aircraft to predict and correct the performance of eVTOL battery systems under various temperature conditions. Due to the lack of airworthiness-certified eVTOL models, it is challenging to directly test battery system parameters under temperature variations. However, using data from Ma Xin's team's production batteries tested on certified fixed-wing electric aircraft, we can accurately measure the effects of temperature changes. The capacity retention data at temperatures of -40°C, -20°C, -10°C, 0°C, 0°C, 25°C, 35°C, 45°C, 55°Care 78.14%, 83.3%, 84.1%, 88.1%, 92.3%, 100.0%, 102.0%, 103.9%, 104.6%. These quantified results provide a basis for modeling and experimental validation of eVTOL battery systems, ensuring their performance and safety across a wide range of temperatures. Although there are some research of battery system of eVtol in room temperature, the data and research of impact of various temperature on battery systems of eVTOLin this article is not published before.&lt;/div&gt;&lt;/div&gt;","url":"https://doi.org/10.4271/2024-01-7021","authors":["Xin Ma","Shuiting Ding","Yilun Pan"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-11-14T21:15:35Z","doi":"10.4271/2024-01-7021","addedAt":"2026-08-31T06:39:36.953Z","updatedAt":"2026-08-31T06:39:39.046Z"},{"id":"doi:10.1007/978-981-97-3998-1_53","name":"Optimized Power System Layout Focusing on UERF on eVTOL Aircraft","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-981-97-3998-1_53","authors":["Haoran Zheng","Ruichen He","Shuguang Zhang","Florian Holzapfel"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-07-01T14:04:33Z","doi":"10.1007/978-981-97-3998-1_53","addedAt":"2026-08-31T06:39:36.953Z","updatedAt":"2026-08-31T06:39:39.047Z"},{"id":"doi:10.3390/batteries12090317","name":"Design, Fabrication, and In-Flight Demonstration of a 24S NCM Battery System for an eVTOL Aircraft","source":"openalex","abstract":"Reliable pack-level battery systems capable of safely handling instantaneous high-C-rate discharge above 10C during take-off, climb, and hovering are required for the commercialization of urban air mobility (UAM) aircraft. However, pack-level studies on wide-range C-rate characteristics of battery systems for UAM applications remain very limited, and most previous studies have been restricted to single-cell experiments or battery-pack simulations. In this study, a 24S1P test battery pack using nickel–cobalt–manganese (NCM) pouch cells, with a nominal voltage of 88.8 V and a capacity of 22 Ah, was designed and fabricated. A two-level battery management system (BMS) based on the LTC6803G-4 was also developed. To evaluate the charge–discharge characteristics of the battery system, constant-current discharge tests were conducted under five conditions ranging from 0.2C (4.4 A) to 10.68C (235 A), and charging tests were performed over the range of 0.2C–2C. The discharge test results showed that the capacity retention remained within 97.5–100.0% in the 1C–5C range, confirming excellent power capability. Continuous discharge operation was confirmed at 10.68C, the maximum discharge condition considered for vertical take-off and climb. Under this condition, the capacity decreased to 16.26 Ah, corresponding to 74.2% of the rated capacity, owing to internal-resistance-induced voltage drop, electrochemical polarization, and early attainment of the cut-off voltage. The Peukert exponent was estimated to be 1.113. An apparent pack-level direct-current internal resistance (DCIR) of approximately 40.3 mΩ was estimated from the initial voltage-drop analysis under different discharge-current conditions. In addition, the maximum temperature during 10.68C discharge was measured as 55.1 °C, providing a thermal margin of 4.9 °C relative to the operational temperature limit of 60 °C adopted in this study. Finally, a 24S4P battery system with a capacity of 88 Ah, consisting of four 24S1P battery packs connected in parallel, was installed in the VS-210, a 210 kg-class maximum take-off weight (MTOW) eVTOL aircraft. An in-flight test was conducted by repeating six take-off–hovering–landing cycles during a total test session of 15 min 20 s, and a stable propulsion power supply was maintained throughout all flight cycles. This study provides experimental baseline data for the design and preliminary safety assessment of high-power battery systems for UAM applications by presenting both the electrical and thermal characteristics of a 24S NCM battery pack over a wide discharge-rate range of 0.2C–10.68C and in-flight eVTOL data.","url":"https://doi.org/10.3390/batteries12090317","authors":["SuHo Yu","Yu-Jin Jung","Bum-Dong Cho","Gee-Soo Lee","Geesoo Lee"],"tags":["Battery (electricity)","Voltage","Automotive engineering","Environmental science","Battery pack"],"confidence":0.72,"sites":["low-altitude"],"publishedDate":"2026-08-22","doi":"10.3390/batteries12090317","addedAt":"2026-08-31T06:39:36.953Z","updatedAt":"2026-08-31T14:45:35.251Z"},{"id":"doi:10.1016/j.trpro.2024.09.005","name":"PIND-UAM: Physics-Informed Neural Dynamics of Boxed-Wing eVTOL Aircraft for UAM Vehicle Digital Twin","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.trpro.2024.09.005","authors":["Minseok Jang","Jeongseok Hyun","Taeho Kwag","Chan Gwak","Tuan Anh Nguyen","Jae-Woo Lee"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-10-03T15:56:03Z","doi":"10.1016/j.trpro.2024.09.005","addedAt":"2026-08-31T06:39:36.953Z","updatedAt":"2026-08-31T06:39:39.047Z"},{"id":"doi:10.1016/j.tre.2024.103661","name":"Planning electric vertical takeoff and landing aircraft (eVTOL)-based package delivery with community noise impact considerations","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.tre.2024.103661","authors":["Nahid Parvez Farazi","Bo Zou"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-07-25T10:22:28Z","doi":"10.1016/j.tre.2024.103661","addedAt":"2026-08-31T06:39:36.953Z","updatedAt":"2026-08-31T06:39:39.047Z"},{"id":"doi:10.1109/cac63892.2024.10865770","name":"Avionics System Architecture Design of a Manned eVTOL Aircraft","source":"crossref","abstract":"","url":"https://doi.org/10.1109/cac63892.2024.10865770","authors":["Xiaobo Wang","Wenyi Liang","Fenfen Yu","Yiren Hu","Libo Cheng","Anhuan Xie"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-02-13T18:29:08Z","doi":"10.1109/cac63892.2024.10865770","addedAt":"2026-08-31T06:39:36.953Z","updatedAt":"2026-08-31T06:39:39.468Z"},{"id":"doi:10.4050/f-0080-2024-1251","name":"Experimental and Analytical Approach Towards Determining an Optimal Wing Arrangement for eVTOL Aircraft based on Aerodynamic Performance and Handling Qualties","source":"crossref","abstract":"This paper investigates optimal wing arrangements for electric Vertical Take-Off and Landing (eVTOL) aircraft, leveraging on their design flexibility with electric propulsion system. The study employs a multidisciplinary approach with the objective of integrating aerodynamic analysis, static and dynamic stability assessments, and pilot feedback to evaluate various wing configurations. Analytical techniques were adopted to evaluate aerodynamic performance and static stability, while experimental flight testing on scale models was conducted to validate these findings. Additionally, the Cooper-Harper rating system was introduced to capture pilot perceptions of aircraft handling qualities. Results inform eVTOL designers on wing arrangements that offer enhanced aerodynamic efficiency, stability, and handling qualities, ultimately expanding the operational scope and applications of eVTOL aircraft. The study concludes the versatility of the high aspect ratio conventional wing on eVTOL aircraft, providing excellent overall performance in the various aspects. This research aims to provide a comprehensive understanding on how different wing configurations influence range and handling qualities in eVTOL aircraft.","url":"https://doi.org/10.4050/f-0080-2024-1251","authors":["Shawn Lim","James Wang","Eden Lee Yao Rong","Satish Suppiah","Philemon Koh Jun Kai"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-07-03T13:35:30Z","doi":"10.4050/f-0080-2024-1251","addedAt":"2026-08-31T06:39:36.953Z","updatedAt":"2026-08-31T06:39:39.468Z"},{"id":"doi:10.1007/978-981-97-3998-1_110","name":"Numerical Investigation of Flow and Flight Performance of Lift &amp; Cruise Type eVTOL Aircraft by a Panel Method","source":"openalex","abstract":"","url":"https://doi.org/10.1007/978-981-97-3998-1_110","authors":["Shin Hyodo","Zhong Lei"],"tags":["Cruise","Lift (data mining)","Aerospace engineering","Flow (mathematics)","Aeronautics"],"confidence":0.72,"sites":["low-altitude"],"publishedDate":"2024-01-01","doi":"10.1007/978-981-97-3998-1_110","addedAt":"2026-08-31T06:39:36.953Z","updatedAt":"2026-08-31T14:45:35.251Z"},{"id":"doi:10.1016/j.cja.2023.09.016","name":"Rotor cross-tilt optimization for yaw control improvement of multi-rotor eVTOL aircraft","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.cja.2023.09.016","authors":["Xufei YAN","Ye YUAN","Yanqin ZHAO","Renliang CHEN"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-09-26T11:45:15Z","doi":"10.1016/j.cja.2023.09.016","addedAt":"2026-08-31T06:39:36.953Z","updatedAt":"2026-08-31T06:39:39.468Z"},{"id":"doi:10.1007/s13272-026-00969-9","name":"Life cycle assessment model for eVTOL aircraft in preliminary design: application within the COLOSSUS project","source":"openalex","abstract":"Abstract Electric Vertical Take-Off and Landing (eVTOL) aircraft are emerging as candidates for future Urban and Regional Air Mobility (UAM/RAM). As their development accelerates, assessing environmental performance from the earliest design stages becomes essential. This work presents a simplified and parametric Life Cycle Assessment (LCA) framework tailored to conceptual eVTOL design, enabling rapid environmental evaluations based on subsystem masses and representative material compositions. The model adopts a cradle-to-operation scope and quantifies environmental indicators through mass-driven equations calibrated using industrial inventory data. Application to a representative eVTOL configuration shows that composite structural components dominate production phase impacts, owing to the energy-intensive processing required for carbon fibre reinforced polymers. Lithium-ion battery systems also constitute significant hotspots, particularly in toxicity and resource related categories linked to the extraction and refining of critical materials. Across the full life cycle, operational electricity use emerges as the primary contributor to climate related impacts, while maintenance activities provide a smaller but non-negligible contribution. The findings underline the substantial influence of material choices, component architecture, and electricity sourcing on the overall environmental performance of eVTOL systems. The proposed model offers a compact and transparent tool for integrating sustainability considerations into early design stages and supports the comparative assessment of alternative configurations and technological options for future urban and regional air mobility.","url":"https://doi.org/10.1007/s13272-026-00969-9","authors":["Felicia Molinaro","Marco Fioriti"],"tags":["Life-cycle assessment","Scope (computer science)","Component (thermodynamics)","Engineering","Sustainability"],"confidence":0.72,"sites":["low-altitude"],"publishedDate":"2026-05-21","doi":"10.1007/s13272-026-00969-9","addedAt":"2026-08-31T06:39:36.953Z","updatedAt":"2026-08-31T14:45:35.251Z"},{"id":"doi:10.4050/f-0082-2026-0193","name":"High-Fidelity CFD Analysis and PD Controller Evaluation for a Multirotor eVTOL Aircraft","source":"crossref","abstract":"A high-fidelity computational study investigates the aerodynamic behavior, flight response, and control effectiveness of a multirotor electric Vertical Take-Off and Landing (eVTOL) configuration. The investigation is organized into two parts. Part I employs an unsteady computational fluid dynamics (CFD) framework coupled with a six-degree-of-freedom (6-DoF) rigid-body dynamics module. Simulations for isolated coaxial rotors and a complete eVTOL isolate rotor aerodynamics and rotor–airframe interactions under constrained kinematics, quantifying lift capability, fuselage download, and a residual nose-up pitching moment arising from fore-aft rotor lift imbalance. Fully coupled 6-DoF free-flight simulations capture the transient vehicle response to a motor failure and recovery sequence during hover. Part II assesses flight control response through a cascade Proportional-Derivative (PD) controller implemented in MATLAB/Simulink across two maneuver cases: hover stabilization and climb rate tracking, which are parameterized using aerodynamic data extracted from the isolated rotor CFD simulation. This decoupled approach enables systematic gain tuning and controller assessment without the computational overhead of fully coupled closed-loop CFD simulations. The results confirm that the CFD–6-DOF framework effectively resolves tightly coupled aerodynamic-dynamic interactions inherent to distributed electric propulsion configurations, and that the cascade PD architecture provides initial control authority assessment across the primary flight axes. These findings establish a foundation for trim strategy development, advanced control law design, and future integration toward robust flight control for urban air mobility operations.","url":"https://doi.org/10.4050/f-0082-2026-0193","authors":["Chunhua Sheng","Sunil Basnet","Qiuying Zhao"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-06-10T23:06:42Z","doi":"10.4050/f-0082-2026-0193","addedAt":"2026-08-31T06:39:36.953Z","updatedAt":"2026-08-31T06:39:38.599Z"},{"id":"doi:10.1109/tte.2024.3375026","name":"Ultralightweight High-Efficiency Buck-Boost DC-DC Converters for Future eVTOL Aircraft With Hybrid Power Supply","source":"crossref","abstract":"","url":"https://doi.org/10.1109/tte.2024.3375026","authors":["David Menzi","Luc Imperiali","Elias Bürgisser","Martin Ulmer","Jonas Huber","Johann W. Kolar"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-03-07T19:24:12Z","doi":"10.1109/tte.2024.3375026","addedAt":"2026-08-31T06:39:36.953Z","updatedAt":"2026-08-31T06:39:39.047Z"},{"id":"doi:10.4050/f-0079-2023-18068","name":"Cheeseman Best Paper: Are eVTOL Aircraft Inherently More Susceptible to the Vortex Ring State than Conventional Helicopters?","source":"crossref","abstract":"","url":"https://doi.org/10.4050/f-0079-2023-18068","authors":["Richard Brown"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-06-27T12:10:56Z","doi":"10.4050/f-0079-2023-18068","addedAt":"2026-08-31T06:39:36.953Z","updatedAt":"2026-08-31T06:39:37.250Z"},{"id":"doi:10.2514/6.2023-3924","name":"Design and Programmatic Overview of the Research Aircraft for eVTOL Enabling techNologies (RAVEN) Activity","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2023-3924","authors":["Brian German","Ayush Jha","Jason Welstead","Siena Whiteside","Nathaniel J. Blaesser"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-06-08T15:36:49Z","doi":"10.2514/6.2023-3924","addedAt":"2026-08-31T06:39:36.953Z","updatedAt":"2026-08-31T06:39:38.600Z"},{"id":"doi:10.1109/aero55745.2023.10115797","name":"Baseline Design of Propeller for an eVTOL Aircraft to Achieve Urban Air Mobility","source":"crossref","abstract":"","url":"https://doi.org/10.1109/aero55745.2023.10115797","authors":["Mohammed Faraaz","Afreed Faizan","Mukunda Badarinath","Kiwin Vignesh Subramaniyan","Dineshkumar Harursampath","Ramesh Burela Gupta"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-05-15T17:50:05Z","doi":"10.1109/aero55745.2023.10115797","addedAt":"2026-08-31T06:39:36.953Z","updatedAt":"2026-08-31T06:39:39.046Z"},{"id":"doi:10.1007/978-3-031-92143-8_6","name":"Trajectory Planning for eVTOL Aircraft with High-Fidelity HV Battery Modeling and SOC Estimation","source":"openalex","abstract":"","url":"https://doi.org/10.1007/978-3-031-92143-8_6","authors":["Mostafa Abdelkhalek","Ismail Bayezit","İsmail Bayezit"],"tags":["Payload (computing)","Key (lock)","Battery (electricity)","Kalman filter","Engineering"],"confidence":0.72,"sites":["low-altitude"],"publishedDate":"2025-09-06","doi":"10.1007/978-3-031-92143-8_6","addedAt":"2026-08-31T06:39:36.953Z","updatedAt":"2026-08-31T14:45:35.251Z"},{"id":"doi:10.4271/2023-01-7104","name":"Robust Stabilized Control for Electric Vertical Take-Off and Landing\n                    (eVTOL) Fixed-Wing Aircraft","source":"crossref","abstract":"&lt;div class=\"section abstract\"&gt;&lt;div class=\"htmlview paragraph\"&gt;Electric vertical takeoff and landing (eVTOL) aircraft, which is used extensively in both military and civilian fields, has the advantages of good maneuverability, high cruising speed, and low requirements for the takeoff and landing modes. Robust and stable control is crucial to ensuring its safety because the dynamics model of an eVTOL aircraft will change significantly between fixed-wing and vertical takeoff and landing mode. In this paper, we first study the structural characteristics of the eVTOL aircraft and establish its dynamic model by considering typical flight modes and mechanical parameters. Then we design a closed-loop controller based on cascade PID technique. Finally, the effectiveness of the control algorithms is verified based on the semi-physical flight simulation platform, which can lower the development cost of control algorithms significantly. The simulation results demonstrate that the cascade PID control scheme accelerates the implementation of the robust controller, and significantly enhance the stabilization control performance of the aircraft in vertical takeoff and landing mode as well as autonomous navigation mode.&lt;/div&gt;&lt;/div&gt;","url":"https://doi.org/10.4271/2023-01-7104","authors":["Jiekai Shi","Wei Li","Fang Wang","Jie Bai"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-12-30T21:15:40Z","doi":"10.4271/2023-01-7104","addedAt":"2026-08-31T06:39:36.953Z","updatedAt":"2026-08-31T06:39:39.046Z"},{"id":"doi:10.5281/zenodo.20092535","name":"openIE-dev/free-evtol-corpus: Free eVTOL Corpus 2026.Q3","source":"datacite","abstract":"First quarterly release of the Free eVTOL Corpus — a public-domain prior art commons for eVTOL aircraft and eVTOL-adjacent flying machines. What this is A structured catalog of every eVTOL aircraft, eVTOL-adjacent flying machine, and the academic, military, and fictional prior art that anticipates them. Every entry is a defensive publication artifact: the prior_art_notes field is element-by-element 102/103 anticipation analysis citable by patent examiners and invalidity-contention attorneys. The corpus IS the prior art commons. It is not a Wikipedia clone. Quality bar is examiner-citeable, not catalog-completeness. Numbers 114 entries — all commons-grade, 0 drafts Span: 1886 (Verne Albatross, ~74 distributed lift airscrews) → 2024 Distribution: 56 private / 40 academic / 16 fictional / 2 open 24 countries on six continents: US 42 · JP 10 · DE 9 · RU 9 · CN 7 · GB 7 · CA 3 · FR 3 · AR 2 · AT 2 · AU 2 · BR 2 · IL 2 · IN 2 · IT 2 · SK 2 · CH 1 · CZ 1 · ES 1 · KR 1 · NL 1 · NZ 1 · SE 1 · ZA 1 17 lift architectures populated: multirotor · lift+cruise · tilt-rotor · tilt-wing · tilt-duct · vectored thrust · ducted-fan-array · compound rotorcraft · cyclorotor · coleopter · tail-sitter · coanda lift · flapping wing · jetpack · hover bike · transformer drive+fly · other 46 subsystem cross-cuts with chronological prior art chains per tag 40 auto-generated invalidity-contention packets + 2 hand-written packets targeting Joby Aviation and Archer Aviation patent estates Lineage DAG: complete (0 missing references, 0 cycles) Validation: clean in --strict mode High-leverage cross-cuts | Tag | Entries | Anchored at | |---|---|---| | lift-distributed-electric-propulsion | 47 | Verne Albatross 1886 | | transition-thrust-borne-to-wing-borne | 45 | Doak VZ-4 1958-02-25 | | airframe-composite-monocoque | 39 | (modern eVTOL industry default) | | propulsion-bldc-direct-drive | 30 | (Volocopter VC1 2011 onward) | | lift-vectored-thrust | 23 | SNECMA Coléoptère 1959-05-06 | | lift-tilt-rotor | 19 | Kamov Ka-22 Vintokryl 1959-06-15 | | lift-coaxial-rotor | 16 | Pescara helicopter 1922 | Timestamping The release tarball corpus-2026.Q3.tar.gz (SHA-256 764c959368732665aba6f73b41768107fde864156cf83afc3a5ff1f04e671688) carries three independent cryptographic timestamps attesting pre-existence as of 2026-05-08T13:31:45Z: FreeTSA — RFC 3161 DigiCert — RFC 3161 OpenTimestamps — Bitcoin-anchored via 4 calendar pools (a.pool.opentimestamps.org, b.pool.opentimestamps.org, eternitywall, catallaxy) After OTS upgrade (~6 hours after this release), every entry in the corpus is functionally citeable as 102 prior art against any patent with a later effective filing date. Verification git clone https://github.com/openIE-dev/free-evtol-corpus cd free-evtol-corpus/releases/2026.Q3 # Verify tarball integrity sha256sum -c SHA256SUMS # Verify FreeTSA / DigiCert / OpenTimestamps proofs (see MANIFEST.md for full procedure) ots verify corpus-2026.Q3.tar.gz.ots -f corpus-2026.Q3.tar.gz License CC0 1.0 Universal (public domain dedication). The corpus exists to be cited, copied, indexed, mirrored, embedded, ingested, and built upon. No usage license required. Sister project This corpus is structurally and methodologically a sibling of free-humanoid-corpus, which applies the same defensive-publication methodology to humanoid robotics. Both projects originated within Open Interface Engineering (OpenIE).","url":"https://doi.org/10.5281/zenodo.20092535","authors":["openIE-dev"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.20092535","addedAt":"2026-08-31T06:39:36.954Z","updatedAt":"2026-08-31T06:39:38.600Z"},{"id":"doi:10.5281/zenodo.20092536","name":"openIE-dev/free-evtol-corpus: Free eVTOL Corpus 2026.Q3","source":"datacite","abstract":"First quarterly release of the Free eVTOL Corpus — a public-domain prior art commons for eVTOL aircraft and eVTOL-adjacent flying machines. What this is A structured catalog of every eVTOL aircraft, eVTOL-adjacent flying machine, and the academic, military, and fictional prior art that anticipates them. Every entry is a defensive publication artifact: the prior_art_notes field is element-by-element 102/103 anticipation analysis citable by patent examiners and invalidity-contention attorneys. The corpus IS the prior art commons. It is not a Wikipedia clone. Quality bar is examiner-citeable, not catalog-completeness. Numbers 114 entries — all commons-grade, 0 drafts Span: 1886 (Verne Albatross, ~74 distributed lift airscrews) → 2024 Distribution: 56 private / 40 academic / 16 fictional / 2 open 24 countries on six continents: US 42 · JP 10 · DE 9 · RU 9 · CN 7 · GB 7 · CA 3 · FR 3 · AR 2 · AT 2 · AU 2 · BR 2 · IL 2 · IN 2 · IT 2 · SK 2 · CH 1 · CZ 1 · ES 1 · KR 1 · NL 1 · NZ 1 · SE 1 · ZA 1 17 lift architectures populated: multirotor · lift+cruise · tilt-rotor · tilt-wing · tilt-duct · vectored thrust · ducted-fan-array · compound rotorcraft · cyclorotor · coleopter · tail-sitter · coanda lift · flapping wing · jetpack · hover bike · transformer drive+fly · other 46 subsystem cross-cuts with chronological prior art chains per tag 40 auto-generated invalidity-contention packets + 2 hand-written packets targeting Joby Aviation and Archer Aviation patent estates Lineage DAG: complete (0 missing references, 0 cycles) Validation: clean in --strict mode High-leverage cross-cuts | Tag | Entries | Anchored at | |---|---|---| | lift-distributed-electric-propulsion | 47 | Verne Albatross 1886 | | transition-thrust-borne-to-wing-borne | 45 | Doak VZ-4 1958-02-25 | | airframe-composite-monocoque | 39 | (modern eVTOL industry default) | | propulsion-bldc-direct-drive | 30 | (Volocopter VC1 2011 onward) | | lift-vectored-thrust | 23 | SNECMA Coléoptère 1959-05-06 | | lift-tilt-rotor | 19 | Kamov Ka-22 Vintokryl 1959-06-15 | | lift-coaxial-rotor | 16 | Pescara helicopter 1922 | Timestamping The release tarball corpus-2026.Q3.tar.gz (SHA-256 764c959368732665aba6f73b41768107fde864156cf83afc3a5ff1f04e671688) carries three independent cryptographic timestamps attesting pre-existence as of 2026-05-08T13:31:45Z: FreeTSA — RFC 3161 DigiCert — RFC 3161 OpenTimestamps — Bitcoin-anchored via 4 calendar pools (a.pool.opentimestamps.org, b.pool.opentimestamps.org, eternitywall, catallaxy) After OTS upgrade (~6 hours after this release), every entry in the corpus is functionally citeable as 102 prior art against any patent with a later effective filing date. Verification git clone https://github.com/openIE-dev/free-evtol-corpus cd free-evtol-corpus/releases/2026.Q3 # Verify tarball integrity sha256sum -c SHA256SUMS # Verify FreeTSA / DigiCert / OpenTimestamps proofs (see MANIFEST.md for full procedure) ots verify corpus-2026.Q3.tar.gz.ots -f corpus-2026.Q3.tar.gz License CC0 1.0 Universal (public domain dedication). The corpus exists to be cited, copied, indexed, mirrored, embedded, ingested, and built upon. No usage license required. Sister project This corpus is structurally and methodologically a sibling of free-humanoid-corpus, which applies the same defensive-publication methodology to humanoid robotics. Both projects originated within Open Interface Engineering (OpenIE).","url":"https://doi.org/10.5281/zenodo.20092536","authors":["openIE-dev"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.20092536","addedAt":"2026-08-31T06:39:36.954Z","updatedAt":"2026-08-31T06:39:38.600Z"},{"id":"doi:10.5281/zenodo.19576185","name":"Next-Generation Single-Passenger eVTOL Architecture: A High-Performance, Production-Ready Design Paradigm","source":"datacite","abstract":"Next-Generation Single-Passenger eVTOL Architecture: A High-Performance, Production-Ready Design Paradigm Introduction: The Imperative for a Paradigm Shift in Personal Aerial Mobility The aerospace sector is currently undergoing a profound metamorphosis, catalyzed by the rapid maturation of distributed electric propulsion (DEP), advanced composite manufacturing, and high-density energy storage. At the nexus of this transformation lies the electric vertical takeoff and landing (eVTOL) aircraft, a platform category poised to redefine urban air mobility (UAM), logistics, and personal transportation. Over the past half-decade, a highly publicized sub-sector has emerged: the single-passenger, personal eVTOL. Ostensibly designed to democratize flight, these vehicles combine the vertical lift capabilities of traditional rotorcraft with the mechanical simplicity of multirotor drones. However, despite substantial capitalization and enthusiastic public reception, the current state-of-the-art in this category remains fundamentally constrained by a confluence of aerodynamic inefficiencies, outdated regulatory frameworks, and the gravimetric limitations of conventional lithium-ion battery technology. The mandate to design a production-ready, single-passenger drone that comprehensively surpasses all known performance metrics requires a total departure from the incremental engineering that characterizes the contemporary market. Current platforms function primarily as low-endurance recreational vehicles. To shatter existing benchmarks, engineers must abandon standard architectures and embrace a new category of existence: Bio-Sovereign Infrastructure.1 This comprehensive research report presents an exhaustive architectural, aerodynamic, and cybernetic blueprint for a next-generation personal eVTOL. By synthesizing aerodynamically optimized tilt-wing structures, ultra-high-density solid-state batteries (SSBs), yokeless axial flux electric motors, and the cryptographic, deterministic physics engine of the Metabolic Mesh Protocol, the proposed paradigm establishes a compounding positive design spiral. Furthermore, this report details the transition from bespoke prototyping to high-volume commercial production, heavily leveraging a grown Mycelium-Graphene Composite (MGC) chassis to ensure the platform is fundamentally production-ready, mathematically aligned, and completely sovereign.1 Critical Analysis of the Contemporary Personal eVTOL Landscape To objectively quantify the metrics that must be surpassed, it is requisite to evaluate the current vanguard of single-passenger eVTOLs. The market is presently defined by platforms engineered to comply with the Federal Aviation Administration (FAA) Part 103 regulations for Ultralight Vehicles. While Part 103 circumvents the need for formal pilot certification, it imposes draconian limitations: an empty weight cap of 254 pounds (115 kg), a maximum fuel equivalent of five gallons, and a maximum level-flight speed of 63 mph (101 km/h). Evaluation of Current Market Leaders The most prominent platforms currently in low-rate initial production or advanced flight testing include the Jetson ONE, the Pivotal Helix, the Ryse Recon, and the Doroni H1-X. An analysis of their performance envelopes reveals a stark homogenization of capabilities, dictated primarily by the physical limitations of their multirotor or simple vectored-thrust configurations. Aircraft Model Aerodynamic Configuration Top Speed (km/h) Maximum Flight Time / Range Empty Weight (kg) Propulsion Architecture Base Price (USD) Jetson ONE Open-frame Multirotor 102 (63 mph) 20 minutes (~18 km) 55 (121 lbs) without batteries; 115 (253 lbs) with batteries 8 Electric Brushless Motors $148,000 Pivotal Helix Lift + Cruise (Fixed-wing Vectored) 101 (63 mph) 20 miles (with 20% reserve) Opinions\". Every inference, spatial update, and state change broadcasted by the aircraft to the swarm network or decentralized physical infrastructure network (DePIN) must be ","url":"https://doi.org/10.5281/zenodo.19576185","authors":["Brewer, Mark Anthony"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.19576185","addedAt":"2026-08-31T06:39:36.954Z","updatedAt":"2026-08-31T06:39:56.014Z"},{"id":"doi:10.18154/rwth-2024-06408","name":"Development of a mid fidelity aerodynamic analysis approach in the conceptual design of a tandem tiltwing eVTOL","source":"datacite","abstract":"Since 2010, numerous electric vertical takeoff and landing (eVTOL) concepts have emerged to tackle traffic congestion, featuring varied rotor and wing combinations. Tiltwing designs, particularly efficient for high-speed, long-range missions, enable transition from vertical to horizontal flight by tilting wings. However, this introduces stall risks due to lift component transition. Tiltwing eVTOL design currently relies on low-fidelity Blade Element-Momentum Theory (BEMT) models for cost-effectiveness, lacking in accuracy concerning aerodynamic interactions of components. High-fidelity methods like Computational Fluid Dynamics (CFD) offer accuracy but are resource-intensive, limiting studies to single-case analyses. A mid-fidelity aerodynamic method which employs potential flow theory bridges low and high-fidelity approaches. It combines different elementary flows solved from Laplace equation to simulate flow fields, capturing 3D flow characteristics and component interactions. This method overcomes reliance on semi-empirical models and high computing power. The thesis presents a method using free wake and panel models, computing rotor and fixed structures' interaction. Its computational time, typically minutes on standard personal PC, is a fraction of higher-order methods like CFD. To facilitate extensive iterative calculations using this mid-fidelity method in conceptual design, an aerodynamic surrogate model is established. This model comprehensively analyzes vertical takeoff, hover, tilt transition, and cruising processes of a tandem tiltwing eVTOL aircraft. The transition corridor and transition path of this configuration are also analyzed, demonstrating the feasibility of completing the tilting process without wing stall. The findings of this thesis suggest that the combination of the free wake method and panel method serves as a highly suitable aerodynamic analysis approach for the conceptual design of eVTOL aircraft. The mid-fidelity method exhibits substantial potential in enhancing conceptual design and configuration optimization regarding the significant interaction of rotors and fixed structures such as wings and fuselage.","url":"https://doi.org/10.18154/rwth-2024-06408","authors":["Deng, Jingshu"],"tags":["Hochschulschrift","eVTOL ; tiltwing ; mid-fidelity ; conceptual design ; transition corridor"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.18154/rwth-2024-06408","addedAt":"2026-08-31T06:39:36.954Z","updatedAt":"2026-08-31T06:39:37.633Z"},{"id":"doi:10.5281/zenodo.5576103","name":"Final Report - Multi-Disciplinary Design and Optimisation of a Long-Range eVTOL Aircraft","source":"datacite","abstract":"Final Report of the Design, Synthesis and Exercise (DSE) carried on during the Spring DSE 2021, group 06, assignment \"Multi-Disciplinary Design and Optimisation of a Long-Range eVTOL Aircraft\". Tutor: Saullo Giovani Pereira Castro Coaches: Davide Biagini and Ali Nokhbatolfoghahai Institution: Delft University of Technology Place: Faculty of Aerospace Engineering, Delft Submission Date: Tuesday 29th June, 2021 Summary The issue of adequate transportation is widespread. Not only are many modes of transportation expensive, but they often require dedicated infrastructure and are prone to traffic and congestion. In an attempt to attenuate this costly problem, an electrical Vertical Takeoff and Landing (eVTOL) aircraft concept, the Wigeon, is proposed after a trade off of three such concepts. The purpose of the project is to provide sustainable, personal aerial transportation for inter-city travel that is competitive with the current transportation methods while requiring minimal infrastructure. In order to accomplish this goal, a multidisciplinary design approach was conducted. In order to focus the design on a single idea, three possible configurations were analysed and put into a trade-off. It was found that the tandem configuration was least complex, cheapest and safest with regards to one engine inoperative condition. All configurations analysed carried 4 passengers and 1 pilot. During the market analysis, primarily focused on central Europe, it was decided that the Wigeon should target daily commuters and short overnight trips, as these account up to 80% of regional travels and are mostly within 300 km, the target range of mission. Moreover, increasing the range by another 50 km allowed for an increase in customer base by 36%. The cost and price of one unit was estimated to be roughly 940 thousand euros and 1.8 million euros respectively, leading to the break-even point at 152 units. The technical design phase began with an aerodynamic analysis. The wing planform was defined with the selected airfoil being NACA 44017 for both wings, a sweep quarter-chord angle of 0 deg and a taper ratio of 0.45. The wing performance was evaluated along with the tips which were all modelled with lifting line theory. Then the propeller wing interaction was determined, along with the drag polar which permitted the modelling of the transition to horizontal flight, showing that the latter assists in the reduction of the surface area. Moreover, given the span limits of the aircraft, it was decided to include blended winglets, with a total height of 0.4 m improving the aerodynamic efficiency of the Wigeon. The validation of the model was finally conducted using CFD shown to be in high agreement with the implemented models. The propulsion and power subsystem design for the Wigeon project consisted in the design of propellers to maximise efficiency and ensure that the wide variety of needed thrust levels can be achieved. The selected number of engines was 12 (3 per half wing), ensuring sufficient redundancy and ground clearance. To avoid problems with wing positioning and rotation, it was decided to leave a clearance of 0.3 m between the propeller tip and the fuselage and other propellers. With the latter, the final radius of each propeller was 0.5029 m, based on blade element momentum theory (BEM). The thrust values were: 158 N, 2502 N and 3745 N for cruise, hover and full thrust respectively. The final stage was to estimate to size the power system and estimate noise which was found to be: 74.85 dB at a 100 m distance. The battery estimations yielded a value of 886.2 kg and a powertrain mass of 502.6 kg for a total of 16483 cells. The design is consolidated with a flight performance analysis which detailed the performance related aspects of the vehicles. This began with a simulation of the Wigeon during transition from stand-still to cruise and vice versa. This proved the ability of the aircraft to perform these manoeuvres and showed that acceleratio","url":"https://doi.org/10.5281/zenodo.5576103","authors":["Alba-Maestre, Javier","Beyne, Egon","Buszek, Michael","Cuadrat-Grzybowski, Miguel","López, Noah Salvador","Poliakov, Nikita","Prud'homme van Reine, Koen","Santamaría, Alejandro Montoya","Schoser, Jakob","Wadia, Kaizad"],"tags":["multidisciplinary design and optimization","electric aircraft","eVTOL","aircraft design"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2021","doi":"10.5281/zenodo.5576103","addedAt":"2026-08-31T06:39:36.954Z","updatedAt":"2026-08-31T06:39:37.915Z"},{"id":"doi:10.5281/zenodo.5741614","name":"Final Report - Multi-Disciplinary Design and Optimisation of a Long-Range eVTOL Aircraft","source":"openalex","abstract":"Final Report of the Design, Synthesis and Exercise (DSE) carried on during the Spring DSE 2021, group 06, assignment \"Multi-Disciplinary Design and Optimisation of a Long-Range eVTOL Aircraft\". Tutor: Saullo Giovani Pereira Castro Coaches: Davide Biagini and Ali Nokhbatolfoghahai Institution: Delft University of Technology Place: Faculty of Aerospace Engineering, Delft Submission Date: Tuesday 29th June, 2021 Summary The issue of adequate transportation is widespread. Not only are many modes of transportation expensive, but they often require dedicated infrastructure and are prone to traffic and congestion. In an attempt to attenuate this costly problem, an electrical Vertical Takeoff and Landing (eVTOL) aircraft concept, the Wigeon, is proposed after a trade off of three such concepts. The purpose of the project is to provide sustainable, personal aerial transportation for inter-city travel that is competitive with the current transportation methods while requiring minimal infrastructure. In order to accomplish this goal, a multidisciplinary design approach was conducted. In order to focus the design on a single idea, three possible configurations were analysed and put into a trade-off. It was found that the tandem configuration was least complex, cheapest and safest with regards to one engine inoperative condition. All configurations analysed carried 4 passengers and 1 pilot. During the market analysis, primarily focused on central Europe, it was decided that the Wigeon should target daily commuters and short overnight trips, as these account up to 80% of regional travels and are mostly within 300 km, the target range of mission. Moreover, increasing the range by another 50 km allowed for an increase in customer base by 36%. The cost and price of one unit was estimated to be roughly 940 thousand euros and 1.8 million euros respectively, leading to the break-even point at 152 units. The technical design phase began with an aerodynamic analysis. The wing planform was defined with the selected airfoil being NACA 44017 for both wings, a sweep quarter-chord angle of 0 deg and a taper ratio of 0.45. The wing performance was evaluated along with the tips which were all modelled with lifting line theory. Then the propeller wing interaction was determined, along with the drag polar which permitted the modelling of the transition to horizontal flight, showing that the latter assists in the reduction of the surface area. Moreover, given the span limits of the aircraft, it was decided to include blended winglets, with a total height of 0.4 m improving the aerodynamic efficiency of the Wigeon. The validation of the model was finally conducted using CFD shown to be in high agreement with the implemented models. The propulsion and power subsystem design for the Wigeon project consisted in the design of propellers to maximise efficiency and ensure that the wide variety of needed thrust levels can be achieved. The selected number of engines was 12 (3 per half wing), ensuring sufficient redundancy and ground clearance. To avoid problems with wing positioning and rotation, it was decided to leave a clearance of 0.3 m between the propeller tip and the fuselage and other propellers. With the latter, the final radius of each propeller was 0.5029 m, based on blade element momentum theory (BEM). The thrust values were: 158 N, 2502 N and 3745 N for cruise, hover and full thrust respectively. The final stage was to estimate to size the power system and estimate noise which was found to be: 74.85 dB at a 100 m distance. The battery estimations yielded a value of 886.2 kg and a powertrain mass of 502.6 kg for a total of 16483 cells. The design is consolidated with a flight performance analysis which detailed the performance related aspects of the vehicles. This began with a simulation of the Wigeon during transition from stand-still to cruise and vice versa. This proved the ability of the aircraft to perform these manoeuvres and showed that acceleratio","url":"https://doi.org/10.5281/zenodo.5741614","authors":["Alba-Maestre, Javier","Beyne, Egon","Buszek, Michael","Cuadrat-Grzybowski, Miguel","López, Noah Salvador","Poliakov, Nikita","Prud'homme van Reine, Koen","Santamaría, Alejandro Montoya","Schoser, Jakob","Wadia, Kaizad","Javier Alba-Maestre","Egon Beyne"],"tags":["multidisciplinary design and optimization","electric aircraft","eVTOL","aircraft design","Discipline","Range (aeronautics)","Aeronautics","Aerospace engineering","Computer science"],"confidence":0.72,"sites":["low-altitude"],"publishedDate":"2021","doi":"10.5281/zenodo.5741614","addedAt":"2026-08-31T06:39:36.954Z","updatedAt":"2026-08-31T14:45:35.251Z"},{"id":"doi:10.5281/zenodo.5720247","name":"Final Report - Multi-Disciplinary Design and Optimisation of a Long-Range eVTOL Aircraft","source":"openalex","abstract":"Final Report of the Design, Synthesis and Exercise (DSE) carried on during the Spring DSE 2021, group 06, assignment \"Multi-Disciplinary Design and Optimisation of a Long-Range eVTOL Aircraft\". Tutor: Saullo Giovani Pereira Castro Coaches: Davide Biagini and Ali Nokhbatolfoghahai Institution: Delft University of Technology Place: Faculty of Aerospace Engineering, Delft Submission Date: Tuesday 29th June, 2021 Summary The issue of adequate transportation is widespread. Not only are many modes of transportation expensive, but they often require dedicated infrastructure and are prone to traffic and congestion. In an attempt to attenuate this costly problem, an electrical Vertical Takeoff and Landing (eVTOL) aircraft concept, the Wigeon, is proposed after a trade off of three such concepts. The purpose of the project is to provide sustainable, personal aerial transportation for inter-city travel that is competitive with the current transportation methods while requiring minimal infrastructure. In order to accomplish this goal, a multidisciplinary design approach was conducted. In order to focus the design on a single idea, three possible configurations were analysed and put into a trade-off. It was found that the tandem configuration was least complex, cheapest and safest with regards to one engine inoperative condition. All configurations analysed carried 4 passengers and 1 pilot. During the market analysis, primarily focused on central Europe, it was decided that the Wigeon should target daily commuters and short overnight trips, as these account up to 80% of regional travels and are mostly within 300 km, the target range of mission. Moreover, increasing the range by another 50 km allowed for an increase in customer base by 36%. The cost and price of one unit was estimated to be roughly 940 thousand euros and 1.8 million euros respectively, leading to the break-even point at 152 units. The technical design phase began with an aerodynamic analysis. The wing planform was defined with the selected airfoil being NACA 44017 for both wings, a sweep quarter-chord angle of 0 deg and a taper ratio of 0.45. The wing performance was evaluated along with the tips which were all modelled with lifting line theory. Then the propeller wing interaction was determined, along with the drag polar which permitted the modelling of the transition to horizontal flight, showing that the latter assists in the reduction of the surface area. Moreover, given the span limits of the aircraft, it was decided to include blended winglets, with a total height of 0.4 m improving the aerodynamic efficiency of the Wigeon. The validation of the model was finally conducted using CFD shown to be in high agreement with the implemented models. The propulsion and power subsystem design for the Wigeon project consisted in the design of propellers to maximise efficiency and ensure that the wide variety of needed thrust levels can be achieved. The selected number of engines was 12 (3 per half wing), ensuring sufficient redundancy and ground clearance. To avoid problems with wing positioning and rotation, it was decided to leave a clearance of 0.3 m between the propeller tip and the fuselage and other propellers. With the latter, the final radius of each propeller was 0.5029 m, based on blade element momentum theory (BEM). The thrust values were: 158 N, 2502 N and 3745 N for cruise, hover and full thrust respectively. The final stage was to estimate to size the power system and estimate noise which was found to be: 74.85 dB at a 100 m distance. The battery estimations yielded a value of 886.2 kg and a powertrain mass of 502.6 kg for a total of 16483 cells. The design is consolidated with a flight performance analysis which detailed the performance related aspects of the vehicles. This began with a simulation of the Wigeon during transition from stand-still to cruise and vice versa. This proved the ability of the aircraft to perform these manoeuvres and showed that acceleratio","url":"https://doi.org/10.5281/zenodo.5720247","authors":["Alba-Maestre, Javier","Beyne, Egon","Buszek, Michael","Cuadrat-Grzybowski, Miguel","López, Noah Salvador","Poliakov, Nikita","Prud'homme van Reine, Koen","Santamaría, Alejandro Montoya","Schoser, Jakob","Wadia, Kaizad","Javier Alba-Maestre","Egon Beyne"],"tags":["multidisciplinary design and optimization","electric aircraft","eVTOL","aircraft design","Range (aeronautics)","Discipline","Aeronautics","Computer science","Environmental science"],"confidence":0.72,"sites":["low-altitude"],"publishedDate":"2021","doi":"10.5281/zenodo.5720247","addedAt":"2026-08-31T06:39:36.954Z","updatedAt":"2026-08-31T14:45:35.251Z"},{"id":"doi:10.5281/zenodo.5578044","name":"Final Report - Multi-Disciplinary Design and Optimisation of a Long-Range eVTOL Aircraft","source":"datacite","abstract":"Final Report of the Design, Synthesis and Exercise (DSE) carried on during the Spring DSE 2021, group 06, assignment \"Multi-Disciplinary Design and Optimisation of a Long-Range eVTOL Aircraft\". Tutor: Saullo Giovani Pereira Castro Coaches: Davide Biagini and Ali Nokhbatolfoghahai Institution: Delft University of Technology Place: Faculty of Aerospace Engineering, Delft Submission Date: Tuesday 29th June, 2021 Summary The issue of adequate transportation is widespread. Not only are many modes of transportation expensive, but they often require dedicated infrastructure and are prone to traffic and congestion. In an attempt to attenuate this costly problem, an electrical Vertical Takeoff and Landing (eVTOL) aircraft concept, the Wigeon, is proposed after a trade off of three such concepts. The purpose of the project is to provide sustainable, personal aerial transportation for inter-city travel that is competitive with the current transportation methods while requiring minimal infrastructure. In order to accomplish this goal, a multidisciplinary design approach was conducted. In order to focus the design on a single idea, three possible configurations were analysed and put into a trade-off. It was found that the tandem configuration was least complex, cheapest and safest with regards to one engine inoperative condition. All configurations analysed carried 4 passengers and 1 pilot. During the market analysis, primarily focused on central Europe, it was decided that the Wigeon should target daily commuters and short overnight trips, as these account up to 80% of regional travels and are mostly within 300 km, the target range of mission. Moreover, increasing the range by another 50 km allowed for an increase in customer base by 36%. The cost and price of one unit was estimated to be roughly 940 thousand euros and 1.8 million euros respectively, leading to the break-even point at 152 units. The technical design phase began with an aerodynamic analysis. The wing planform was defined with the selected airfoil being NACA 44017 for both wings, a sweep quarter-chord angle of 0 deg and a taper ratio of 0.45. The wing performance was evaluated along with the tips which were all modelled with lifting line theory. Then the propeller wing interaction was determined, along with the drag polar which permitted the modelling of the transition to horizontal flight, showing that the latter assists in the reduction of the surface area. Moreover, given the span limits of the aircraft, it was decided to include blended winglets, with a total height of 0.4 m improving the aerodynamic efficiency of the Wigeon. The validation of the model was finally conducted using CFD shown to be in high agreement with the implemented models. The propulsion and power subsystem design for the Wigeon project consisted in the design of propellers to maximise efficiency and ensure that the wide variety of needed thrust levels can be achieved. The selected number of engines was 12 (3 per half wing), ensuring sufficient redundancy and ground clearance. To avoid problems with wing positioning and rotation, it was decided to leave a clearance of 0.3 m between the propeller tip and the fuselage and other propellers. With the latter, the final radius of each propeller was 0.5029 m, based on blade element momentum theory (BEM). The thrust values were: 158 N, 2502 N and 3745 N for cruise, hover and full thrust respectively. The final stage was to estimate to size the power system and estimate noise which was found to be: 74.85 dB at a 100 m distance. The battery estimations yielded a value of 886.2 kg and a powertrain mass of 502.6 kg for a total of 16483 cells. The design is consolidated with a flight performance analysis which detailed the performance related aspects of the vehicles. This began with a simulation of the Wigeon during transition from stand-still to cruise and vice versa. This proved the ability of the aircraft to perform these manoeuvres and showed that acceleratio","url":"https://doi.org/10.5281/zenodo.5578044","authors":["Beyne, Egon","Buszek, Michael","Cuadrat-Grzybowski, Miguel","López, Noah Salvador","Alba-Maestre, Javier","Poliakov, Nikita","Prud'homme van Reine, Koen","Santamaría, Alejandro Montoya","Schoser, Jakob","Wadia, Kaizad"],"tags":["multidisciplinary design and optimization","electric aircraft","eVTOL","aircraft design"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2021","doi":"10.5281/zenodo.5578044","addedAt":"2026-08-31T06:39:36.954Z","updatedAt":"2026-08-31T06:39:37.915Z"},{"id":"doi:10.5281/zenodo.5576104","name":"Final Report - Multi-Disciplinary Design and Optimisation of a Long-Range eVTOL Aircraft","source":"openalex","abstract":"Final Report of the Design, Synthesis and Exercise (DSE) carried on during the Spring DSE 2021, group 06, assignment \"Multi-Disciplinary Design and Optimisation of a Long-Range eVTOL Aircraft\". Tutor: Saullo Giovani Pereira Castro Coaches: Davide Biagini and Ali Nokhbatolfoghahai Institution: Delft University of Technology Place: Faculty of Aerospace Engineering, Delft Submission Date: Tuesday 29th June, 2021 Summary The issue of adequate transportation is widespread. Not only are many modes of transportation expensive, but they often require dedicated infrastructure and are prone to traffic and congestion. In an attempt to attenuate this costly problem, an electrical Vertical Takeoff and Landing (eVTOL) aircraft concept, the Wigeon, is proposed after a trade off of three such concepts. The purpose of the project is to provide sustainable, personal aerial transportation for inter-city travel that is competitive with the current transportation methods while requiring minimal infrastructure. In order to accomplish this goal, a multidisciplinary design approach was conducted. In order to focus the design on a single idea, three possible configurations were analysed and put into a trade-off. It was found that the tandem configuration was least complex, cheapest and safest with regards to one engine inoperative condition. All configurations analysed carried 4 passengers and 1 pilot. During the market analysis, primarily focused on central Europe, it was decided that the Wigeon should target daily commuters and short overnight trips, as these account up to 80% of regional travels and are mostly within 300 km, the target range of mission. Moreover, increasing the range by another 50 km allowed for an increase in customer base by 36%. The cost and price of one unit was estimated to be roughly 940 thousand euros and 1.8 million euros respectively, leading to the break-even point at 152 units. The technical design phase began with an aerodynamic analysis. The wing planform was defined with the selected airfoil being NACA 44017 for both wings, a sweep quarter-chord angle of 0 deg and a taper ratio of 0.45. The wing performance was evaluated along with the tips which were all modelled with lifting line theory. Then the propeller wing interaction was determined, along with the drag polar which permitted the modelling of the transition to horizontal flight, showing that the latter assists in the reduction of the surface area. Moreover, given the span limits of the aircraft, it was decided to include blended winglets, with a total height of 0.4 m improving the aerodynamic efficiency of the Wigeon. The validation of the model was finally conducted using CFD shown to be in high agreement with the implemented models. The propulsion and power subsystem design for the Wigeon project consisted in the design of propellers to maximise efficiency and ensure that the wide variety of needed thrust levels can be achieved. The selected number of engines was 12 (3 per half wing), ensuring sufficient redundancy and ground clearance. To avoid problems with wing positioning and rotation, it was decided to leave a clearance of 0.3 m between the propeller tip and the fuselage and other propellers. With the latter, the final radius of each propeller was 0.5029 m, based on blade element momentum theory (BEM). The thrust values were: 158 N, 2502 N and 3745 N for cruise, hover and full thrust respectively. The final stage was to estimate to size the power system and estimate noise which was found to be: 74.85 dB at a 100 m distance. The battery estimations yielded a value of 886.2 kg and a powertrain mass of 502.6 kg for a total of 16483 cells. The design is consolidated with a flight performance analysis which detailed the performance related aspects of the vehicles. This began with a simulation of the Wigeon during transition from stand-still to cruise and vice versa. This proved the ability of the aircraft to perform these manoeuvres and showed that acceleratio","url":"https://doi.org/10.5281/zenodo.5576104","authors":["Beyne, Egon","Buszek, Michael","Cuadrat-Grzybowski, Miguel","López, Noah Salvador","Maestre, Javier Alba","Poliakov, Nikita","van Reine, Koen Prud'homme","Santamaría, Alejandro Montoya","Schoser, Jakob","Wadia, Kaizad","Egon Beyne","Michael Buszek"],"tags":["multidisciplinary design and optimization","electric aircraft","eVTOL","aircraft design","Range (aeronautics)","Discipline","Aeronautics","Aerospace engineering","Environmental science"],"confidence":0.72,"sites":["low-altitude"],"publishedDate":"2021","doi":"10.5281/zenodo.5576104","addedAt":"2026-08-31T06:39:36.954Z","updatedAt":"2026-08-31T14:45:35.251Z"},{"id":"doi:10.1007/978-981-95-6366-1_16","name":"Washout Algorithm Design for eVTOL Aircraft Based on the Model Predictive Control Method","source":"openalex","abstract":"","url":"https://doi.org/10.1007/978-981-95-6366-1_16","authors":["Diming Qin","Wenxuan Gao","Bei Lu","Qifu Li"],"tags":["Computer science","Control theory (sociology)","Model predictive control","Algorithm","Term (time)"],"confidence":0.72,"sites":["low-altitude"],"publishedDate":"2026-01-01","doi":"10.1007/978-981-95-6366-1_16","addedAt":"2026-08-31T06:39:37.238Z","updatedAt":"2026-08-31T14:45:35.251Z"},{"id":"doi:10.1007/978-3-031-98304-7_3","name":"A Fuzzy Logic Approach to Power and SOC Management in Next-Generation eVTOL Aircraft Batteries","source":"openalex","abstract":"","url":"https://doi.org/10.1007/978-3-031-98304-7_3","authors":["Abdeen Osman","Mohammad Alkhedher"],"tags":["Fuzzy logic","Computer science","Power management","Power (physics)","Automotive engineering"],"confidence":0.72,"sites":["low-altitude"],"publishedDate":"2025-01-01","doi":"10.1007/978-3-031-98304-7_3","addedAt":"2026-08-31T06:39:37.238Z","updatedAt":"2026-08-31T14:45:35.251Z"},{"id":"doi:10.3390/wevj16030137","name":"Feasibility Study of Current and Emerging Battery Chemistries for Electric Vertical Take-Off and Landing Aircraft (eVTOL) Applications","source":"crossref","abstract":"The feasibility of electric vertical take-off and landing aircraft (eVTOL) relies on high-performance batteries with elevated energy and power densities for long-distance flight. However, systemic evaluation of battery chemistries for eVTOLs remains limited. This paper fills this research gap through a comprehensive investigation of current and emerging battery technologies. First, the properties of current battery chemistries are benchmarked against eVTOL requirements, identifying nickel-rich lithium-ion batteries (LIB), such as NMC and NCA, as the best suited for this application. Through comparison of 300 commercial battery cells, the Molicel INR21700-P45B cell is identified as the best candidate. Among next-generation batteries, SiSu solid-state batteries (SSBs) emerge as the most promising alternative. The performance of these cells is evaluated using a custom eVTOL battery simulation model for two eVTOL aircraft: the Volocopter VoloCity and the Archer Midnight. Results indicate that the Molicel INR21700-P45B underperforms in high-load scenarios, with a state of charge (SoC) at the end of the flight below the 30% safety margin. Simulated SoC values for the SiSu cell remain above this threshold, reaching 64.9% for the VoloCity and 64.8% for the Midnight. These results highlight next-generation battery technologies for eVTOLs and demonstrate the potential of SSBs to enhance flight performance.","url":"https://doi.org/10.3390/wevj16030137","authors":["Tu-Anh Fay","Fynn-Brian Semmler","Francesco Cigarini","Dietmar Göhlich"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-03-03T03:22:44Z","doi":"10.3390/wevj16030137","addedAt":"2026-08-31T06:39:37.238Z","updatedAt":"2026-08-31T06:39:39.468Z"},{"id":"doi:10.1016/j.ast.2021.107143","name":"Understanding the control characteristics of electric vertical take-off and landing (eVTOL) aircraft for urban air mobility","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.ast.2021.107143","authors":["Marilena D. Pavel"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2021-09-27T21:35:06Z","doi":"10.1016/j.ast.2021.107143","addedAt":"2026-08-31T06:39:37.238Z","updatedAt":"2026-08-31T06:39:39.046Z"},{"id":"doi:10.56801/jaoam.v2i1.2","name":"Challenges to the Operational Safety and Security of eVTOL Aircraft in Metropolitan Regions: A Literature Review","source":"crossref","abstract":"The start of urban air mobility operations using helicopters began in 1940s in Los Angeles to transport passengers and mail between various locations. However, the concept of urban air mobility (UAM) only emerged in the 1960s. Its implementation used helicopters to avoid congestion by land, typical of populated metropolitan regions. However, there was a severe limitation in using these aircraft because of accidents, huge operating costs, and high noise generation levels. In 2010, a new UAM concept conceived electric vertical take-off and landing (eVTOL) vehicles. These vehicles, in principle, would be safer, with lower operating costs and less noisy than helicopters. Several aircraft manufacturers have developed dozens of eVTOL models, focusing on the feasibility of using them for UAM in some metropolitan regions. However, we must consider several challenges to materialize this new concept, including those related to operational safety and security. Among these challenges is these vehicle operations integration to the airspace structure and the air traffic control system, the new embedded and ground systems development, the ground infrastructure implementation to support the operations, the reliability of air navigation systems, the meteorological information provision in real-time and with complete coverage of metropolitan airspaces to be used by eVTOL, and others. Despite some similarities, this new UAM concept will not be identical for all urban regions due to differences related to topographies, weather, urban construction patterns and air traffic control systems. Therefore, local studies are essential to support gradual and safe implementations of operations with these vehicles. This paper presents a literature review, identifying and discussing the utmost safety and security-related challenges researchers observe.","url":"https://doi.org/10.56801/jaoam.v2i1.2","authors":["Bruno Garcia Franciscone","Elton Fernandes"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-08-20T00:53:21Z","doi":"10.56801/jaoam.v2i1.2","addedAt":"2026-08-31T06:39:37.238Z","updatedAt":"2026-08-31T06:39:39.046Z"},{"id":"doi:10.1109/access.2025.3563860","name":"Design Optimization and Performance Analysis of High Torque Density and Efficiency Motors for eVTOL Applications","source":"crossref","abstract":"","url":"https://doi.org/10.1109/access.2025.3563860","authors":["Qiang He","Haoyu Wang","Qing Li"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-04-24T13:06:45Z","doi":"10.1109/access.2025.3563860","addedAt":"2026-08-31T06:39:37.238Z","updatedAt":"2026-08-31T06:39:39.047Z"},{"id":"doi:10.1002/sys.70029","name":"Design of Safety Pattern for eVTOL Aircraft Systems Based on MBSE—A Comprehensive Approach","source":"openalex","abstract":"ABSTRACT Safety is always of paramount importance in civil aviation. To shift safety considerations from post validation to prior construction, an architecture design method has been proposed based on the MBSE approach, aiming to integrate safety requirements into design process. First, related safety requirements are refined, and a safety pattern library with safety logic is formalized and established, which serves as a bridge between abstract safety requirements and specific architectural solutions. Subsequently, in an iterative, analysis‐driven design process, when safety defects are exposed in the architecture, corresponding safety patterns could be systematically selected and instantiated from the library to optimize the architecture. Finally, the approach is demonstrated by designing the flight control architecture of an uncrewed eVTOL aircraft. Case study shows that this method not only ensures consistency and traceability between design and safety, but also transforms the role of safety analysis in the later stage from traditional exploratory analysis to quantitative verification of built‐in safety attributes. Thus, a new perspective is provided to improve the efficiency of airworthiness certification in the low‐altitude air mobility industry.","url":"https://doi.org/10.1002/sys.70029","authors":["Boyang Li","Peng Wang","Jie bai","Nve Xiao","Jie Bai"],"tags":["Traceability","Airworthiness","Certification","Consistency (knowledge bases)","Systems engineering"],"confidence":0.72,"sites":["low-altitude"],"publishedDate":"2025-12-26","doi":"10.1002/sys.70029","addedAt":"2026-08-31T06:39:37.238Z","updatedAt":"2026-08-31T14:45:35.251Z"},{"id":"doi:10.1007/s42401-026-00483-0","name":"Null-space control allocation for generalized load reduction in eVTOL aircraft","source":"crossref","abstract":"Abstract Electric Vertical Takeoff and Landing (eVTOL) aircraft rely on distributed electric propulsion systems to generate lift and control forces during low-speed flight. Under external disturbances or internal faults, some rotors may experience disproportionately high loads, leading to thermal stress and long-term reliability degradation. To mitigate such risks, this paper proposes a control allocation method guided by Lyapunov stability theory that minimizes a generalized p -norm of the control load. By exploiting the null space of the control effectiveness matrix, the proposed method asymptotically reduces either overall or peak control load without altering the achieved virtual control. This null-space update supports both conventional and incremental control allocation architectures. In contrast to optimization-based approaches that require solving constrained problems online, the proposed null-space update is lightweight and well-suited for safety-critical flight control systems. Simulation results on a high-fidelity lift-plus-cruise eVTOL platform demonstrate the effectiveness of the method in reducing both overall and peak rotor loads, even in the presence of rotor failures.","url":"https://doi.org/10.1007/s42401-026-00483-0","authors":["Jiannan Zhang","Zhidong Lu","Florian Holzapfel"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-05-08T07:39:26Z","doi":"10.1007/s42401-026-00483-0","addedAt":"2026-08-31T06:39:37.238Z","updatedAt":"2026-08-31T06:39:38.599Z"},{"id":"doi:10.4050/jahs.71.022008","name":"Liquid-Cooled Battery System Design Method for eVTOL Aircraft","source":"crossref","abstract":"This study develops a liquid-cooled battery system design method that accounts for the battery thermal management system and key constraints by synthesizing various analytical models. It includes models for the battery, coolant channels, and heat exchanger, which are integrated into a comprehensive design procedure. The method is applied to the sizing of a notional electric vertical takeoff and landing aircraft and, together with a previously developed air-cooled battery design method, enables a quantitative comparison of air‐ and liquid-cooled battery systems in terms of payload performance under various operating conditions. The key conclusions are that the proposed liquid-cooled design method yields a battery system with a specific energy of 125 Wh/kg under the baseline mission and aircraft configuration, representing a 40.5% reduction from the cell-level specific energy of 210 Wh/kg, and that, while the aircraft sizing outcomes can vary depending on the battery cooling method and operating conditions, the overall performance difference between the air‐ and liquid-cooled systems remains small, indicating that both approaches provide comparable results.","url":"https://doi.org/10.4050/jahs.71.022008","authors":["Junhwi Park","Kwanjung Yee"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-02-21T01:05:16Z","doi":"10.4050/jahs.71.022008","addedAt":"2026-08-31T06:39:37.238Z","updatedAt":"2026-08-31T06:39:38.600Z"},{"id":"doi:10.5139/jksas.2025.53.1.91","name":"Development and Application of the Lift-Tilt type eVTOL Sizing Tool, evtolAD","source":"crossref","abstract":"","url":"https://doi.org/10.5139/jksas.2025.53.1.91","authors":["Seung-Kil Paek"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-01-14T20:42:36Z","doi":"10.5139/jksas.2025.53.1.91","addedAt":"2026-08-31T06:39:37.238Z","updatedAt":"2026-08-31T06:39:39.468Z"},{"id":"doi:10.4050/f-0077-2021-16893","name":"Multi-Domain Electric Drivetrain Modeling for UAM-Scale eVTOL Aircraft","source":"crossref","abstract":"This paper presents the modeling and validation of an electric drivetrain through an object-oriented, equation-based framework that includes aerodynamics, electric machine, power electronic converter and battery models at various levels of detail. The proposed drivetrain model considers different losses in the machine and levels of fidelity for the power source and converters. It is simulated with various maneuvers, aiming to show the effects of modeling simplifications on the behavior of UAMs. These studies show that the level of detail in the motors and power system has significant impact on the dynamic response and power consumption of the system. This is most evident in the cases where the system uses a detailed battery model and in the cases where the switching electrical components are used, creating a torque ripple.","url":"https://doi.org/10.4050/f-0077-2021-16893","authors":["Meaghan Podlaski","Farhan Gandhi","Robert Niemiec","Luigi Vanfretti"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-04-19T18:24:54Z","doi":"10.4050/f-0077-2021-16893","addedAt":"2026-08-31T06:39:37.238Z","updatedAt":"2026-08-31T06:39:39.046Z"},{"id":"doi:10.1016/j.cstp.2025.101629","name":"eVTOL aircraft for the low-altitude economy: A review of development history, core technologies, and future trends","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.cstp.2025.101629","authors":["Zhijun Meng","Jiachi Ji","Lulu Liu","Siyuan Liu","Zhen Sun","Qingfang Xiao","Zikang Yang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-10-25T04:26:58Z","doi":"10.1016/j.cstp.2025.101629","addedAt":"2026-08-31T06:39:37.238Z","updatedAt":"2026-08-31T06:39:39.468Z"},{"id":"doi:10.2514/6.2025-2026","name":"Computational Simulation and Analysis of a Conceptual eVTOL","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2025-2026","authors":["Qiuying Zhao","Chunhua Sheng"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-02-12T10:03:43Z","doi":"10.2514/6.2025-2026","addedAt":"2026-08-31T06:39:37.238Z","updatedAt":"2026-08-31T06:39:39.325Z"},{"id":"doi:10.1007/978-981-96-2228-3_10","name":"Flight Control Design for eVTOL Aircraft Using Nonlinear Dynamic Inversion and H$$_\\infty $$ Control","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-981-96-2228-3_10","authors":["Wenxuan Gao","Wenhong Jiang","Bei Lu","Qifu Li"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-03-02T07:26:21Z","doi":"10.1007/978-981-96-2228-3_10","addedAt":"2026-08-31T06:39:37.238Z","updatedAt":"2026-08-31T06:39:39.468Z"},{"id":"doi:10.2514/6.2026-3247","name":"Aerodynamics and Aeroacoustics of Rotor-Rotor and Rotor-Wing Interactions in an eVTOL Aircraft","source":"openalex","abstract":"This paper investigates the aerodynamic and aeroacoustic characteristics of rotor-rotor and rotor-wing interactions in an eVTOL aircraft during transitional flight conditions. An experimental wind-tunnel campaign was conducted using a scaled half-aircraft model featuring two rotors in a tandem configuration mounted above a wing, with far-field noise measured using four microphone arrays. The effects of free-stream velocity and forward-rotor tilting angle were systematically examined. Complementary aerodynamic simulations were performed using a mid-fidelity vortex-particle method to analyse the wake development and interaction mechanisms. The results indicate that noise radiation is dominated by the aft rotor, while tonal contributions from the forward rotor become significant when operating in edgewise flow conditions. Rotor-wake interactions lead to increased mid-frequency broadband noise, as well as haystacking and sub-harmonic peaks associated with blade-vortex interaction events. These effects are most pronounced at low forward-rotor tilting angles and diminish as the wake is convected away from the downstream rotor. The flow-field analysis reveals complex wake convection and interaction patterns, strongly influenced by the presence of the wing, which alters the trajectory and coherence of the vortical structures. The combined experimental and numerical results provide insight into the noise generation mechanisms of interacting rotors in eVTOL configurations during transition.","url":"https://doi.org/10.2514/6.2026-3247","authors":["Andrea Colli","Sung Tyaek Go","Clemence Bricker","Djamel Rezgui","Mahdi Azarpeyvand"],"tags":["Aerodynamics","Aeroacoustics","Aerospace engineering","Engineering","Computational aeroacoustics"],"confidence":0.72,"sites":["low-altitude"],"publishedDate":"2026-05-20","doi":"10.2514/6.2026-3247","addedAt":"2026-08-31T06:39:37.238Z","updatedAt":"2026-08-31T14:45:35.251Z"},{"id":"doi:10.4050/f-0075-2019-14543","name":"Design-Oriented Study on the Public Acceptance of cargo eVTOL aircraft as a Revolutionary Vehicle Concept","source":"crossref","abstract":"The recent active development on eVTOL (electric vertical take-off and landing) aircraft has introduced various aircraft configurations and usage into the design space, including those that could have a very different appearance from any existing transportation means to the society. Most especially, logistics application of such vehicle system could give an even more strange impression to the general public, since it won't directly interact with them, but at the same time will be operated very near the living milieu of civilians. In order to achieve acceptance of such revolutionary aircraft concept from the society, this study conducts a questionnaire survey on the preferable exterior design to citizens not involved in the field of eVTOL development (n=69), based on hypotheses derived from multiple human- and social-science studies. Design hypotheses examined here will include not only on liveries or coloring, but also options of changes on the airframe form, if necessary. As a result, it was discovered that people prefer a passenger-liner-like livery and a roundish form on the airframe. The design principle derived here should contribute orientating engineering towards a market-tolerant product development in the future.","url":"https://doi.org/10.4050/f-0075-2019-14543","authors":["Yu Ito","Nanami Furue"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-07-19T13:55:53Z","doi":"10.4050/f-0075-2019-14543","addedAt":"2026-08-31T06:39:37.238Z","updatedAt":"2026-08-31T06:39:39.046Z"},{"id":"doi:10.4271/2023-01-1391","name":"UAM Icing: Ice Accretion Experiments and CFD Icing Simulations on Rotors for eVTOL Unmanned Aircraft","source":"crossref","abstract":"&lt;div class=\"section abstract\"&gt;&lt;div class=\"htmlview paragraph\"&gt;Urban air mobility (UAM) is a fast-growing industry that utilizes electric vertical take-off and landing (eVTOL) technologies to operate in densely populated urban areas with limited space. However, atmospheric icing serves as a limitation to its operational envelope as in-flight icing can happen all year round anywhere around the globe. Since icing in smaller aviation systems is still an emerging topic, there is a necessity to study icing of eVTOL rotors specifically. Two rotor geometries were chosen for this study. A small 15-inch rotor was selected to illustrate a multirotor UAV drone, while a large 80-inch rotor was chosen to represent a UAM passenger aircraft. The ice accretion experiments were conducted in an icing wind tunnel on the small 15-inch rotor. The icing simulations were performed using FENSAP-ICE. The ice accretion simulations of the 15-inch rotor sections at –5 °C show a large, rather streamlined ice shape instead of the expected glaze ice characteristics. At –15 °C the numerical ice accretion presents the typical rime ice shape. The results of the 80-inch rotor simulation present more varied ice shapes, which could indicate higher sensitivity towards the icing condition. Ice horns formed at temperatures close to freezing and the flow separation aft of the ice led to significant aerodynamic penalties. The 3D ice accretion simulation of the 80-inch rotor shows discrepancies with the 2D results as it does not predict ice accretion at the outer region of the blades at – 15 °C. This could be due to the higher stagnation temperature, increased friction, and three-dimensional crossflows preventing ice accumulation. The performance degradation simulations show that ice accretion causes significant aerodynamic penalties, especially in cases where horn ice accretion forms. Finally, the anti-icing loads required to mitigate ice accretion thermally were calculated. Both rotors require high power consumption for a fully evaporative IPS design.&lt;/div&gt;&lt;/div&gt;","url":"https://doi.org/10.4271/2023-01-1391","authors":["Henidya Heramarwan","Nicolas Müller","Richard Hann","Thorsten Lutz"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-06-14T22:15:16Z","doi":"10.4271/2023-01-1391","addedAt":"2026-08-31T06:39:37.238Z","updatedAt":"2026-08-31T06:39:39.046Z"},{"id":"doi:10.2514/6.2022-3603","name":"Aero-Propulsive Modeling for eVTOL Aircraft Using Wind Tunnel Testing with Multisine Inputs","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2022-3603","authors":["Benjamin M. Simmons","Eugene A. Morelli","Ronald C. Busan","David B. Hatke","Anthony W. O'Neal"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2022-06-21T07:07:36Z","doi":"10.2514/6.2022-3603","addedAt":"2026-08-31T06:39:37.238Z","updatedAt":"2026-08-31T06:39:39.046Z"},{"id":"doi:10.4050/sm-2026-vlada-5179","name":"Computational Investigation of a Multirotor eVTOL Undergoing Hover, Forward, and Maneuvering Flight","source":"crossref","abstract":"A high-fidelity computational study is conducted to investigate the aerodynamic behavior and flight response of an electric Vertical Take-Off and Landing (eVTOL) multirotor configuration using unsteady computational fluid dynamics (CFD) framework. Four simulation cases are considered to examine the vehicle aerodynamics under both prescribed and fully coupled conditions. Prescribed hover and forward-flight cases isolate rotor aerodynamics and rotor-airframe interactions under constrained kinematics. Six-degree-of-freedom (6-DoF) free-flight maneuvering simulations capture the coupled evolution of aerodynamic loads, vehicle attitude, and translational motion. The results demonstrate that the high-fidelity unsteady CFD framework, coupled with rigid-body dynamics, effectively resolves the tightly coupled aerodynamic–dynamic interactions inherent to eVTOL configurations. This work provides a foundation for future investigations into trim strategies, control modeling, and expanded flight envelopes.","url":"https://doi.org/10.4050/sm-2026-vlada-5179","authors":["Chunhua Sheng","Qiuying Zhao"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-05-29T15:17:21Z","doi":"10.4050/sm-2026-vlada-5179","addedAt":"2026-08-31T06:39:37.238Z","updatedAt":"2026-08-31T06:39:38.599Z"},{"id":"doi:10.1007/s42401-026-00506-w","name":"Taming the tilt: A unified pilot control concept for transformational eVTOL aircraft","source":"openalex","abstract":"Abstract Transformational electric vertical take-off and landing (eVTOL) vehicles have gained significant attention over the past decade due to their efficient wing-borne cruise capabilities and reduced reliance on ground-based infrastructure. However, control system design for these vehicles remains challenging, as they must operate across multiple flight phases, each with distinct dominant dynamics. If left unaddressed, this complexity would significantly increase pilot workload, thus motivating the development of pilot control systems for multi-phase flight operations. The Simplified Vehicle Operations concept presents a promising strategy for reducing pilot workload. This study presents the design and implementation of a novel pilot control concept for eVTOL aircraft, validated through a tandem tilt-wing aircraft simulation on a full-motion simulator equipped with an active, force-feedback side stick. The system provides pilots with tactile feedback during specific flight phases, supporting intuitive control. The proposed approach enables seamless transitions and multi-phase flight maneuvers by leveraging the available degrees of freedom. Furthermore, an optimal-control-based methodology is proposed as a metric to evaluate command-filter-induced performance penalties and inceptor activities. The results show that the proposed command filter does not significantly increase the mission duration compared to the closed-loop system, while the active side stick helps reduce inceptor activity.","url":"https://doi.org/10.1007/s42401-026-00506-w","authors":["Daniel Milz","Marc May","Andreas Seefried","Tobias Bellmann"],"tags":["Engineering","Control (management)","Control engineering","Flight simulator","Simulation"],"confidence":0.72,"sites":["low-altitude"],"publishedDate":"2026-08-24","doi":"10.1007/s42401-026-00506-w","addedAt":"2026-08-31T06:39:37.238Z","updatedAt":"2026-08-31T14:45:35.251Z"},{"id":"doi:10.1109/dasc52595.2021.9594302","name":"Initial Feasibility Study of Multi-rotor eVTOL Aircraft for Cross-border Urban Air Mobility between Singapore and Neighbouring Countries","source":"crossref","abstract":"","url":"https://doi.org/10.1109/dasc52595.2021.9594302","authors":["Kailun Tan","Kin Huat Low"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2021-11-15T17:56:19Z","doi":"10.1109/dasc52595.2021.9594302","addedAt":"2026-08-31T06:39:37.238Z","updatedAt":"2026-08-31T06:39:39.046Z"},{"id":"doi:10.2514/6.2019-4505","name":"Current Capabilities and Challenges of NDARC and SUAVE for eVTOL Aircraft Design and Analysis","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2019-4505","authors":["Julius M. Vegh","Emilio Botero","Matthew Clarke","Jordan Smart","Juan Alonso"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2019-08-16T15:07:32Z","doi":"10.2514/6.2019-4505","addedAt":"2026-08-31T06:39:37.238Z","updatedAt":"2026-08-31T06:39:39.046Z"},{"id":"doi:10.4050/f-0082-2026-0204","name":"Effects of Disk Loading, Solidity, and Tip Speed on Acoustics of Multi-Passenger eVTOL Aircraft Rotors","source":"crossref","abstract":"This study investigates the acoustic performance of a single rotor representative of those seen on multi-passenger UAM-sized vehicles, focusing on the effects of blade count, disk loading, solidity, and tip Mach number in both hover and propeller operating conditions. Using PSU-WOPWOP and ANOPP2, unweighted and A-weighted overall sound pressure levels (OASPL) are computed in-plane for 2- and 5-bladed rotors across a range of design parameters and operating conditions. Unweighted results show that reducing blade count significantly increases total noise levels (14.1 dB on average) and reduces sensitivity to design parameters. In contrast, A-weighted results demonstrate that broadband noise dominates perceived acoustic performance and shows a decreased sensitivity to blade count (1.9 dBA average difference). Minimum noise levels occur at tip Mach numbers ranging from 0.35-0.45 for unweighted results and 0.4-0.5 for A-weighted results, and are primarily governed by broadband noise sensitivity to disk loading and solidity. The rotor in propeller mode, with axial flow and reduced disk loading, showed less sensitivity to variation in disk loading and solidity than the rotor in hover, indicating weaker acoustic dependence in cruise conditions.","url":"https://doi.org/10.4050/f-0082-2026-0204","authors":["Eve Fulton","Farhan Gandhi"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-06-10T23:06:42Z","doi":"10.4050/f-0082-2026-0204","addedAt":"2026-08-31T06:39:37.238Z","updatedAt":"2026-08-31T06:39:38.599Z"},{"id":"doi:10.1109/robio55434.2022.10011735","name":"Crashworthiness Design Optimization for an eVTOL Aircraft","source":"crossref","abstract":"","url":"https://doi.org/10.1109/robio55434.2022.10011735","authors":["Menglong Ding","Anhuan Xie","Shiqiang Zhu","Wei Song","Jiandong Cai","Xufei Yan","Pengyu Zhao","Jason Gu","Yanyan Zhang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-01-18T13:51:38Z","doi":"10.1109/robio55434.2022.10011735","addedAt":"2026-08-31T06:39:37.238Z","updatedAt":"2026-08-31T06:39:39.046Z"},{"id":"doi:10.4050/f-0075-2019-14492","name":"Jaunt: Design, Build, and Test of an eVTOL Aircraft for Urban Air Mobility","source":"crossref","abstract":"Jaunt Air Mobility LLC is developing an all-electric Vertical Take-off and Landing (VTOL) aircraft suitable for Urban Air Mobility (UAM) and On-Demand Mobility (ODM) markets. Salient features of Jaunt include the quietest, safest, and most efficient hovering and cruise flight air vehicle than any other configuration suitable for UAM missions. Jaunt represents a Reduced Rotor Operating Speed Aircraft (ROSA™) with core technologies proven in over 250 hours of successful demonstration flights. Jaunt represents the metamorphosis of the best features available from helicopters and fixed-wing airplanes. ROSA™ technologies offers several innovative features that significantly reduce total noise. These include all-electric powertrain, 75 percent reduction in main rotor tip speed from hover to cruise flight, scimitar design propellers offering a 60% speed reduction from hover to cruise flight, and a tilting mast which provides efficient management of the resulting thrust vector. Jaunt represents flight-proven aircraft technologies that are superior to existing helicopters which are the gold standard in efficient Vertical Take-off and Landing (VTOL) aircraft. Jaunt Air Mobility LLC is developing an all-electric Vertical Take-off and Landing (VTOL) aircraft suitable for Urban Air Mobility (UAM) and On-Demand Mobility (ODM) markets. Salient features of Jaunt include the quietest, safest, and most efficient hovering and cruise flight air vehicle than any other configuration suitable for UAM missions. Jaunt represents a Reduced Rotor Operating Speed Aircraft (ROSA™) with core technologies proven in over 250 hours of successful demonstration flights. Jaunt represents the metamorphosis of the best features available from helicopters and fixed-wing airplanes. ROSA™ technologies offers several innovative features that significantly reduce total noise. These include all-electric powertrain, 75percent reduction in main rotor tip speed from hover to cruise flight, scimitar design propellers offering a 60 percent speed reduction from hover to cruise flight, and a tilting mast which provides efficient management of the resulting thrust vector. Jaunt represents flight-proven aircraft technologies that are superior to existing helicopters which are the gold standard in efficient Vertical Take-off and Landing (VTOL) aircraft.","url":"https://doi.org/10.4050/f-0075-2019-14492","authors":["Kaydon Stanzione","Daniel Schrage","Apinut Sirirojvisuth"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-07-20T16:58:01Z","doi":"10.4050/f-0075-2019-14492","addedAt":"2026-08-31T06:39:37.238Z","updatedAt":"2026-08-31T06:39:39.046Z"},{"id":"doi:10.4050/f-0078-2022-17534","name":"Comprehensive Simulation for eVTOL Aircraft-Diagnosing Coupled Airframe-Propulsion Dynamic Instabilities","source":"crossref","abstract":"","url":"https://doi.org/10.4050/f-0078-2022-17534","authors":["Felix Brenner","Jan Goericke","Pat O'Heron","Llorenc Gomez","Matt Hasbun"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2022-09-15T15:33:26Z","doi":"10.4050/f-0078-2022-17534","addedAt":"2026-08-31T06:39:37.238Z","updatedAt":"2026-08-31T06:39:39.046Z"},{"id":"doi:10.2514/6.2018-2006","name":"Cargo Delivery in by Passenger eVTOL Aircraft: A Case Study in the San Francisco Bay Area","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2018-2006","authors":["Brian German","Matthew Daskilewicz","Thomas K. Hamilton","Matthew M. Warren"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2018-01-08T04:17:29Z","doi":"10.2514/6.2018-2006","addedAt":"2026-08-31T06:39:37.238Z","updatedAt":"2026-08-31T06:39:39.046Z"},{"id":"doi:10.1016/j.applthermaleng.2026.132253","name":"Mission-level integrated electrical–thermal simulation for energy and thermal management of eVTOL aircraft","source":"openalex","abstract":"This study presents an integrated simulation framework to analyze the dynamic coupling between propulsion energy demand and thermal management system (TMS) operation in electric vertical take-off and landing (eVTOL) aircraft. Unlike combustion-powered platforms, eVTOL operates under strict onboard energy constraints while facing substantial thermal loads arising from the electric propulsion system, the battery system and cabin heating, ventilation, and air conditioning (HVAC). To capture this coupled behavior, we developed a time-resolved modeling approach based on momentum theory, force equilibrium, and aerodynamic drag to estimate propulsion power, which is thermally coupled with electro-thermal battery and motor models. The TMS architecture comprises a vapor-compression cooling loop shared across propulsion, battery, and cabin subsystems, with season-dependent control. Simulations of a five-seat aircraft configuration under multiple seasonal environments reveal that ambient conditions significantly alter system-level energy distribution. TMS power shows brief hover peaks above 40 kW (≈7–8% of hover propulsion power), and mission-integrated thermal-management energy can reach nearly 23% of total mission energy in summer. Accordingly, effective range is reduced by up to ~22% in winter compared with spring condition. These results underscore the necessity of incorporating thermal loads into mission-level energy predictions to account for seasonal variability. The proposed model provides a foundation for thermal-aware flight planning, system architecture validation, and energy management strategies in urban air mobility (UAM) applications.","url":"https://doi.org/10.1016/j.applthermaleng.2026.132253","authors":["Haruka Nakayama","Yukinori Inoue","Adriana Andreeva-Mori","Daisuke Sasaki"],"tags":["Thermal management of electronic devices and systems","Thermal","Energy (signal processing)","Environmental science","Thermal energy"],"confidence":0.72,"sites":["low-altitude"],"publishedDate":"2026-07-04","doi":"10.1016/j.applthermaleng.2026.132253","addedAt":"2026-08-31T06:39:37.238Z","updatedAt":"2026-08-31T14:45:35.251Z"},{"id":"doi:10.1051/e3sconf/202568000016","name":"Accurate State of Charge Estimation for Electric Vertical Take-Off and Landing (eVTOL) Aircraft Batteries Using Coulomb Counting","source":"crossref","abstract":"Electric Vertical Take-Off and Landing (eVTOL) aircraft are emerging as a promising solution for urban air mobility, offering rapid and efficient transportation in congested areas. A critical challenge in these systems is the accurate estimation of the battery State of Charge (SoC), which directly impacts flight safety and operational reliability. This study evaluates the performance of the Coulomb Counting method for SoC estimation using a MATLAB-based simulation. The method demonstrated high accuracy across all flight phases, with estimation errors remaining below 0.01 specifically 0.0053 during take-off, 0.0050 during hover, 0.0080 during cruise, and 0.0077 during landing. These results confirm the suitability of Coulomb Counting for real-time SoC tracking in eVTOL applications, while emphasizing the importance of calibration and drift correction for long-term accuracy.","url":"https://doi.org/10.1051/e3sconf/202568000016","authors":["Hind Labiri","Sadik Farhat","Fatima Ezzahra Nadir","Hossine Elihssini","Zakaria Chekoubi"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-12-19T08:54:29Z","doi":"10.1051/e3sconf/202568000016","addedAt":"2026-08-31T06:39:37.238Z","updatedAt":"2026-08-31T06:39:39.468Z"},{"id":"doi:10.3390/aerospace10080718","name":"EVTOL Tilt-Wing Aircraft Design under Uncertainty Using a Multidisciplinary Possibilistic Approach","source":"crossref","abstract":"Recent development in Electric Vertical Take-off and Landing (eVTOL) aircraft makes it a popular design approach for urban air mobility (UAM). When designing these configurations, due to the uncertainty present in semi-empirical estimations, often used for aerodynamic characteristics during the conceptual design phase, results can only be trusted to approximately 80% accuracy. Accordingly, an optimized aircraft using semi-empirical estimations and deterministic multi-disciplinary design optimization (MDO) approaches can be at risk of not being certifiable in the detailed design phase of the life cycle. The focus of this study was to implement a robust and efficient possibility-based design optimization (PBDO) method for the MDO of an eVTOL tilt-wing aircraft in the conceptual design phase, using existing conventional designs as an initial configuration. As implemented, the optimization framework utilizes a deterministic gradient-based optimizer, run sequentially with a possibility assessment algorithm, to select an optimal design. To achieve this, the uncertainties which arise from multi-fidelity calculations, such as semi-empirical methods, are considered and used to modify the final design such that its viability is guaranteed in the detailed design phase. With respect to various requirements, including trim, stability, and control behaviors, the optimized eVTOL tilt-wing aircraft design offers the preferred results which ensure that airworthiness criteria are met whilst complying with predefined constraints. The proposed approach may be used to revise currently available light aircraft and develop eVTOL versions from the original light aircraft. The resulting aircraft is not only an optimized layout but one where the stability of the eVTOL tilt-wing aircraft has been guaranteed.","url":"https://doi.org/10.3390/aerospace10080718","authors":["Mohsen Rostami","Julian Bardin","Daniel Neufeld","Joon Chung"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-08-16T10:09:33Z","doi":"10.3390/aerospace10080718","addedAt":"2026-08-31T06:39:37.238Z","updatedAt":"2026-08-31T06:39:39.046Z"},{"id":"doi:10.1016/j.applthermaleng.2025.128455","name":"Performance analysis of hybrid thermal management system integrating air-cooling topology fin and phase change material for eVTOL aircraft battery","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.applthermaleng.2025.128455","authors":["Weijie Dong","Junjie Shen","Yuanping Xu","Zhihao Wu","Xiaobin Xu","Yu Long","Xiaolin Wang","Fei Zhou"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-09-27T05:04:51Z","doi":"10.1016/j.applthermaleng.2025.128455","addedAt":"2026-08-31T06:39:37.238Z","updatedAt":"2026-08-31T06:39:39.468Z"},{"id":"doi:10.1109/icbdse70225.2026.11635424","name":"Data-Driven Visual Perception and Trajectory Planning for AprilTag-Based Precision Landing of eVTOL Aircraft","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icbdse70225.2026.11635424","authors":["Qiang Cheng","Bo Li","Qian Guo","Chenqiang Zhao"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-08-10T19:13:52Z","doi":"10.1109/icbdse70225.2026.11635424","addedAt":"2026-08-31T06:39:37.238Z","updatedAt":"2026-08-31T06:39:38.730Z"},{"id":"doi:10.4050/f-0079-2023-0118","name":"The Battery Cooling Design and Simulation Study in Multirotor eVTOL Aircraft","source":"crossref","abstract":"High-specific energy Li-ion batteries are widely used in eVTOL aircraft and usually rapidly heat up during flight. Therefore, proper and efficient cooling strategies should be adopted during eVTOL design in order to prevent overheating. This paper collected and compared the battery cooling strategies adopted by different eVTOL aircraft manufacturers based on published patents. The choice of battery cooling strategies could be influenced by aircraft configurations. The ZJCopter eVTOL aircraft developed by Zhejiang Lab adopted the PCM cooling method as a fast-cooling and lightweight battery cooling strategy. The effectiveness of this cooling method was demonstrated by comparing it with air cooling method through simulation, which showed that the PCM cooling method can reduce the average and maximum temperatures of the battery. Moreover, increasing the heat transfer area and thickness of the PCM layers could improve the cooling effect even further.","url":"https://doi.org/10.4050/f-0079-2023-0118","authors":["Lintao Shao","Anhuan Xie","Jiandong Cai","Yunzheng Zhu","Shiqiang Zhu"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-06-10T18:55:17Z","doi":"10.4050/f-0079-2023-0118","addedAt":"2026-08-31T06:39:37.238Z","updatedAt":"2026-08-31T06:39:39.046Z"},{"id":"doi:10.4050/f-0082-2026-0065","name":"Simulation-Based Route Analysis and Digital Twin Integration for Electric Aircraft and eVTOL Design &amp; Operations","source":"crossref","abstract":"The rapid expansion of electric aviation and eVTOL operations introduces tightly coupled challenges related to energy‑constrained aircraft design, battery and thermal management, mission planning, and the generation of certification‑relevant evidence. This paper presents an integrated simulation workflow developed by AVL, Unisphere, and blueflite that combines high‑fidelity electric powertrain and battery models with a guidance‑level, digital‑twin‑based 4‑D trajectory simulation driven by historical weather and operational constraints. At each mission time step, the trajectory layer provides time‑resolved environmental and routing conditions, while the system‑level models compute instantaneous power demand, state‑of‑charge evolution, and thermal response, enabling mission feasibility assessment under realistic wind, temperature, and airspace effects. The workflow is calibrated and validated using flight telemetry from blueflite's active eVTOL cargo aircraft development, ensuring alignment between simulation assumptions and real‑world mission execution. The validated framework is subsequently applied to seasonal route studies and large‑scale virtual flight campaigns spanning multiple regions and years, enabling statistically robust assessment of energy margins, thermal behavior, and mission‑duration variability. The results demonstrate how integrated, traceable simulation can bridge conceptual design and real‑world electric flight operations, supporting informed decision‑making by OEMs and operators in aircraft design, validation, and deployment planning.","url":"https://doi.org/10.4050/f-0082-2026-0065","authors":["Jürgen Schneider","James McClearen","Michael Anger"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-06-10T23:06:42Z","doi":"10.4050/f-0082-2026-0065","addedAt":"2026-08-31T06:39:37.238Z","updatedAt":"2026-08-31T06:39:38.730Z"},{"id":"doi:10.1016/j.ast.2020.106429","name":"Impact of lift propeller drag on the performance of eVTOL lift+cruise aircraft","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.ast.2020.106429","authors":["Alessandro Bacchini","Enrico Cestino","Benjamin Van Magill","Dries Verstraete"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2020-12-16T23:46:15Z","doi":"10.1016/j.ast.2020.106429","addedAt":"2026-08-31T06:39:37.238Z","updatedAt":"2026-08-31T06:39:39.046Z"},{"id":"doi:10.3390/aerospace9030152","name":"Hover Performance Analyses of Coaxial Co-Rotating Rotors for eVTOL Aircraft","source":"crossref","abstract":"Hover performance analyses of coaxial co-rotating rotors (or stacked rotors), which can be used as lifting rotors for electric VTOL (eVTOL) aircraft, are conducted here. In this study, the rotorcraft comprehensive analysis code, CAMRAD II, is used with the general free-wake model. The generic coaxial co-rotating rotor without the blade taper and built-in twist is considered as the baseline rotor model, and the rotor is trimmed to match a prescribed rotor thrust value. The hover performance, including the rotor power and Figure of Merit (FM), is investigated for various index angles, axial spacings, blade taper ratios, and built-in twist angles. A maximum FM value is obtained near an index angle of 0° and 10° when the axial spacing is below and above 5.27%R, respectively. When the index angle is 0° and axial spacing is 1.44% R, the maximum increments in the FM are 3.03% and 6.06%, respectively, for a rotor with a blade taper ratio of 0.8 and a built-in twist angle of −12°. Therefore, this simulation study demonstrates that the hover performance of coaxial co-rotating rotors can be changed by adjusting the index angle or the axial spacing.","url":"https://doi.org/10.3390/aerospace9030152","authors":["Yu-Been Lee","Jae-Sang Park"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2022-03-09T11:30:38Z","doi":"10.3390/aerospace9030152","addedAt":"2026-08-31T06:39:37.238Z","updatedAt":"2026-08-31T06:39:39.046Z"},{"id":"doi:10.3390/app112311083","name":"Preliminary Propulsion and Power System Design of a Tandem-Wing Long-Range eVTOL Aircraft","source":"crossref","abstract":"Novel eVTOL aircraft configurations are picking up momentum in the emerging market of urban air mobility (UAM). These configurations feature electrical power systems and distributed propulsion architectures, both uncommon in current aircraft. As such, the design of eVTOL aircraft lies outside the bounds of current established frameworks and poses many challenges in the field of preliminary aircraft design. This paper presents a preliminary design methodology for open rotor eVTOL configurations with batteries as the power source. First, the propeller external dimensions are calculated, and then an optimised blade geometry for cruise condition is computed. Thereupon, the batteries and electric motors are sized. The design framework is then applied to an eVTOL aircraft with a design range of 400 km and a capacity of five occupants (four passengers and one pilot), focusing on the central-European market and aimed to be released in 2030. The final configuration is a battery-powered tandem-wing aircraft with 12 variable-pitch, variable-speed open rotors placed on the leading edges of the wings. These rotors rotate outboard-down and feature six blades. The power source comprises 24 solid-state lithium batteries with a nominal voltage of 500 V and an assumed energy density of 500 Wh/kg. The proposed design methodology offers the possibility of computing the necessary propeller geometry for numerical simulations in the early stages of the design, and of easily obtaining accurate estimates for the mass of the power system which can improve the overall mass estimates for the analysed configuration.","url":"https://doi.org/10.3390/app112311083","authors":["Javier Alba-Maestre","Koen Prud’homme van Reine","Tomas Sinnige","Saullo G. P. Castro"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2021-11-24T02:46:08Z","doi":"10.3390/app112311083","addedAt":"2026-08-31T06:39:37.238Z","updatedAt":"2026-08-31T06:39:39.046Z"},{"id":"doi:10.4050/f-0075-2019-14498","name":"A Systematic CFD-Based Examination of Rotor-Rotor Separation Effects on Interactional Aerodynamics for Large eVTOL Aircraft","source":"crossref","abstract":"This study systematically investigates the aerodynamic interactions of a two-rotor system with a front rotor and an aft rotor aligned with the direction of flow. The rotors are 5.5 ft diameter fixed-pitch rotors operating at around 12 lb/ ft2 disk loading, representative of large eVTOL aircraft. Fluid flow is simulated using the commercial Navier-Stokes solver, AcuSolve, with a Detached Eddy Simulation (DES) model. Simulations were performed at 40 kts edgewise flight for 9 cases corresponding to three values of longitudinal hub-hub separation (2.5R, 3R, 3.5R) and three values of vertical offset (0, 0.25R, 0.5R). Aft rotor performance was compared to an isolated rotor operating in the same conditions in order to quantify the effects of rotor-rotor interaction. For the cases where the aft rotor is closest to the front rotor (2.5R longitudinal offset, zero vertical offset), the aft rotor produced 8.4% less thrust, and required 13.4 percent higher torque than a rotor in isolation. When vertical rotor separation was increased, interactional aerodynamic effects decreased. For a 2.5R longitudinal offset, increasing the vertical offset to 0.5R decreased the lift deficit to 4.6% and the torque penalty to 6.8%. Increasing the longitudinal offset to 3.5R (while keeping the vertical offset at zero) also reduced interactional aerodynamic effects, but reductions in lift deficit and torque penalty were smaller than those observed with 0.5R vertical offset.","url":"https://doi.org/10.4050/f-0075-2019-14498","authors":["Richard Healy","Matthew Misiorowski","Farhan Gandhi"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-07-20T16:58:01Z","doi":"10.4050/f-0075-2019-14498","addedAt":"2026-08-31T06:39:37.238Z","updatedAt":"2026-08-31T06:39:39.046Z"},{"id":"doi:10.2514/6.2020-3271","name":"Wind-Optimal Trajectories for Multirotor eVTOL Aircraft on UAM Missions","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2020-3271","authors":["Priyank Pradeep","Todd A. Lauderdale","Gano Broto Chatterji","Kapil Sheth","Chok Fung Lai","Banavar Sridhar","Kaj-Martin Edholm","Heinz Erzberger"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2020-06-08T21:02:08Z","doi":"10.2514/6.2020-3271","addedAt":"2026-08-31T06:39:37.238Z","updatedAt":"2026-08-31T06:39:39.046Z"},{"id":"doi:10.1088/1742-6596/3226/1/012038","name":"Numerical simulation and protection design of lightning indirect effects in composite eVTOL aircraft","source":"openalex","abstract":"Abstract To enhance protection against lightning indirect effects in electric vertical takeoff and landing (eVTOL) aircraft, this study investigates the electromagnetic responses of a representative composite eVTOL aircraft under lightning current excitation. Following SAE ARP5412 and SAE ARP5416, a large-current pulse-injection methodology is numerically implemented using the transmission-line matrix method. For different strike paths, fuselage surface current density, transient magnetic fields inside the airframe, and coupling responses of critical onboard cables are analyzed, with emphasis on skin materials, cable configurations, and shield-grounding schemes. The results show that surface current density at lightning attachment and separation points can reach 10 5 A/m 2 , while the cabin magnetic field decays with increasing distance from the composite skin. Quantitative evaluations further demonstrate that an indium tin oxide windshield coating reduces peak induced cable currents by approximately 88.6%, that incorporating a copper mesh into a composite fuselage reduces the peak induced cable current from 7.823 A to 1.966 A, achieving shielding performance comparable to an aluminum airframe. In addition, shielded twisted pairs reduce the induced current from 1.282 A to 2.241×10 −7 A, corresponding to nearly seven orders of magnitude improvement relative to single-core conductors. Balanced double-ended grounding provides the highest shielding effectiveness among the evaluated grounding schemes. These findings provide quantitative guidance for the lightning indirect-effect protection design of eVTOL aircraft.","url":"https://doi.org/10.1088/1742-6596/3226/1/012038","authors":["Zhangang Yang","Yue Dong","Yanan Zhang"],"tags":["Fuselage","Shielded cable","Electromagnetic shielding","Ground","Lightning (connector)"],"confidence":0.72,"sites":["low-altitude"],"publishedDate":"2026-05-01","doi":"10.1088/1742-6596/3226/1/012038","addedAt":"2026-08-31T06:39:37.238Z","updatedAt":"2026-08-31T14:45:35.251Z"},{"id":"doi:10.1016/j.est.2025.115567","name":"A physics-enhanced online joint estimation method for SOH and SOC of lithium-ion batteries in eVTOL aircraft applications","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.est.2025.115567","authors":["Fusheng Jiang","Yi Ren","Ting Tang","Zeyu Wu","Quan Xia","Cheng Qian","Bo Sun","Dezhen Yang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-01-30T02:02:18Z","doi":"10.1016/j.est.2025.115567","addedAt":"2026-08-31T06:39:37.238Z","updatedAt":"2026-08-31T06:39:39.468Z"},{"id":"doi:10.1109/ietc54973.2022.9796842","name":"Nonlinear, Low-Energy-Actuator-Prioritizing Control Allocation for Winged eVTOL UAVs","source":"crossref","abstract":"","url":"https://doi.org/10.1109/ietc54973.2022.9796842","authors":["Mason B. Peterson","Randal W. Beard","Jacob B. Willis"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2022-06-20T21:22:49Z","doi":"10.1109/ietc54973.2022.9796842","addedAt":"2026-08-31T06:39:37.238Z","updatedAt":"2026-08-31T06:39:39.046Z"},{"id":"doi:10.4050/f-0078-2022-0053","name":"Comprehensive Simulation for eVTOL Aircraft-Diagnosing Coupled Airframe-Propulsion Dynamic Instabilities","source":"openalex","abstract":"The design, development, and testing of an eVTOL aircraft requires multiple physics-based simulation applications to address technical challenges and optimize the configuration for stringent mission requirements. While existing rotorcraft simulation and analysis tools are utilized for the analysis of eVTOL configurations, the adoption of an electrified propulsion system introduces new challenges. These tools are tailored for analysis of coupled system dynamics including elastic structures, airloads, and wake interactions, but are lacking capability for detailed electrified drive system dynamics. As a result, the dynamics of the electric drive system are often analyzed separate from the flight and structure dynamics. This can cause important coupled interactions to be overlooked and require costly late-stage design changes. This paper describes and demonstrates the coupling of GT-SUITE, a detailed electric propulsion modeling and analysis tool, with the comprehensive rotorcraft analysis tool, FLIGHTLAB. The objective of coupling these applications was to provide eVTOL analysis capabilities that enable improved designs in terms of mission range, operation capabilities, and flight safety. The successful coupling of these applications was demonstrated with lift and cruise propellers based on the Uber Elevate configuration.","url":"https://doi.org/10.4050/f-0078-2022-0053","authors":["Felix Brenner","Llorenc Foraste Gomez","Jan Goericke","Matt Hasbun","Patrick O'Heron","Llorenç Forasté Gómez"],"tags":["Airframe","Propulsion","Systems engineering","Aerospace engineering","Suite"],"confidence":0.72,"sites":["low-altitude"],"publishedDate":"2022-05-10","doi":"10.4050/f-0078-2022-0053","addedAt":"2026-08-31T06:39:37.238Z","updatedAt":"2026-08-31T14:45:35.251Z"},{"id":"doi:10.4050/f-0075-2019-14490","name":"Hydrogen Fuel Cell and Battery Hybrid Architecture for Range Extension of Electric VTOL (eVTOL) Aircraft","source":"crossref","abstract":"The objective of this paper is to study the impact of combining hydrogen fuel cells with lithium-ion batteries through an ideal power sharing architecture to mitigate the poor range and endurance of battery powered electric vertical take- off and landing (eVTOL) aircraft. The benefits of combining the two sources is first demonstrated by a conceptual sizing of an electric tiltrotor for an urban air taxi mission of 75 mi cruise and 5 min hover. It is shown that an aircraft of 5000-6000 lb gross weight can carry a practical payload of 500 lb (2-3 seat) with present levels of battery specific energy (150 Wh/kg) if only a battery-fuel cell hybrid powerplant is used, combined in an ideal power sharing manner, as long as high burst C-rate batteries are available (4-10 C) for a limited duration (2.5 min). A powerplant using batteries alone can carry less than half the payload; fuel cells alone can not lift off the ground. The operation of such a parallel system is explained using systematic hardware testing and modeling and simulation. The concepts of un- regulated and regulated power sharing architectures are described. A regulated architecture that can implement ideal power sharing is built-up in a step-by-step manner. It is found only two switches and three DC-to-DC converters are necessary, and if placed appropriately, are sufficient to achieve the desired power flow. The power system model is validated with test data and used to gain fundamental understanding of the power sharing architecture.","url":"https://doi.org/10.4050/f-0075-2019-14490","authors":["Wanyi Ng","Mrinalgouda Patil","Anubhav Datta"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-07-20T16:58:01Z","doi":"10.4050/f-0075-2019-14490","addedAt":"2026-08-31T06:39:37.238Z","updatedAt":"2026-08-31T06:39:39.046Z"},{"id":"doi:10.55277/researchhub.r38emwu0","name":"Development of a High Efficiency eVTOL UAV for Urban and Remote Delivery","source":"crossref","abstract":"","url":"https://doi.org/10.55277/researchhub.r38emwu0","authors":["Ekene Darlington Okpara"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-12-22T11:43:35Z","doi":"10.55277/researchhub.r38emwu0","addedAt":"2026-08-31T06:39:37.238Z","updatedAt":"2026-08-31T06:39:39.468Z"},{"id":"doi:10.2514/6.2025-1434","name":"Sizing and Optimization of Multi eVTOL Configuration for Urban Air Mobility Applications","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2025-1434","authors":["Rajan Bhandari","Imon Chakraborty"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-02-12T10:03:43Z","doi":"10.2514/6.2025-1434","addedAt":"2026-08-31T06:39:37.238Z","updatedAt":"2026-08-31T06:39:57.284Z"},{"id":"doi:10.4050/f-0079-2023-18051","name":"The Battery Cooling Design and Simulation Study in Multirotor eVTOL Aircraft","source":"crossref","abstract":"","url":"https://doi.org/10.4050/f-0079-2023-18051","authors":["Linato Shao","Auhuan Xie","Jiandong Cai","Yunzheng Zhu","Shiqiang Zhu"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-06-27T12:10:56Z","doi":"10.4050/f-0079-2023-18051","addedAt":"2026-08-31T06:39:37.238Z","updatedAt":"2026-08-31T06:39:39.046Z"},{"id":"doi:10.4050/f-0079-2023-18056","name":"Dynamic Load Analysis of an eVTOL Aircraft Propulsion System","source":"crossref","abstract":"","url":"https://doi.org/10.4050/f-0079-2023-18056","authors":["Dexin Wang","Jennifer Peeples","Geirgui Valente","Andrew Johnston","Younes Riache","Hanafy Mahmoud"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-06-27T12:10:56Z","doi":"10.4050/f-0079-2023-18056","addedAt":"2026-08-31T06:39:37.238Z","updatedAt":"2026-08-31T06:39:39.046Z"},{"id":"doi:10.4050/sm_evtol_2025-5371","name":"Elroy Air","source":"crossref","abstract":"Elroy Air","url":"https://doi.org/10.4050/sm_evtol_2025-5371","authors":["Andrew Clare"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-07-21T15:49:59Z","doi":"10.4050/sm_evtol_2025-5371","addedAt":"2026-08-31T06:39:37.238Z","updatedAt":"2026-08-31T06:39:39.325Z"},{"id":"doi:10.2514/6.2021-1897","name":"Conduction of Mission Task Elements within Simulator Flight Tests for Handling Quality Evaluation of an eVTOL Aircraft","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2021-1897","authors":["Guillermo Díaz García","David Seiferth","Vitus Meidinger","Daniel Dollinger","Pranav Nagarajan","Florian Holzapfel"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2021-01-05T02:59:38Z","doi":"10.2514/6.2021-1897","addedAt":"2026-08-31T06:39:37.238Z","updatedAt":"2026-08-31T06:39:39.046Z"},{"id":"doi:10.4050/sm-2026-vlada-5198","name":"Gross Weight, CG Position, and Airspeed Estimation for a UAM Lift plus Cruise eVTOL","source":"crossref","abstract":"This paper presents a comprehensive evaluation of data-driven machine learning (ML) frameworks for the estimation of critical operational parameters, gross weight (GW), longitudinal center-of-gravity (CGx ), and airspeed (Ux ) for a UAM-scale Lift plus Cruise eVTOL aircraft. Artificial Neural Networks (ANN), Gaussian Process Regression (GPR), and Support Vector Machines (SVM) are compared for their ability to track these dynamic parameters across both low-speed rotor-borne and high-speed wing-borne flight regimes. The models are rigorously tested on steady-state clean data and stochastic atmospheric turbulence data sets to assess performance trade-offs between computational cost, noise robustness, and predictive accuracy. Results demonstrate that GPR consistently achieves the highest accuracy on clean data, particularly for GW and CGx estimation, though it exhibits the highest sensitivity to stochastic noise. Conversely, SVM demonstrates the greatest relative robustness under turbulent conditions and superior computational efficiency, identifying it as a practical candidate for resource-constrained onboard flight computers. Furthermore, a dynamic continuous-time analysis reveals a critical trade-off between responsiveness and accuracy. Instantaneous predictions are shown to suffer from severe transient error spikes during maneuvers, whereas a moving average filtering strategy effectively mitigates these errors at the cost of response latency. These analyses demonstrate the feasibility of ML-based parameter estimation for UAM operations and highlight the necessity of adaptive temporal filtering to balance agility with resilience in turbulent environments.","url":"https://doi.org/10.4050/sm-2026-vlada-5198","authors":["Anubhav Halder","Farhan Gandhi"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-05-29T15:17:21Z","doi":"10.4050/sm-2026-vlada-5198","addedAt":"2026-08-31T06:39:37.238Z","updatedAt":"2026-08-31T06:39:38.731Z"},{"id":"doi:10.1109/compel53829.2022.9830019","name":"Comparative Evaluation of Ultra-Lightweight Buck-Boost DC-DC Converter Topologies for Future eVTOL Aircraft","source":"crossref","abstract":"","url":"https://doi.org/10.1109/compel53829.2022.9830019","authors":["David Menzi","Zheyuan Yu","Jonas Huber","Johann W. Kolar"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2022-07-22T12:42:19Z","doi":"10.1109/compel53829.2022.9830019","addedAt":"2026-08-31T06:39:37.238Z","updatedAt":"2026-08-31T06:39:39.046Z"},{"id":"doi:10.1109/cac59555.2023.10451698","name":"Motion Control for a Manned eVTOL Aircraft with Cross Tilting Propellers","source":"openalex","abstract":"This paper considers the motion control of a manned electric Vertical Takeoff and Landing (eVTOL) aircraft with cross tilting propellers. This article mainly focuses on the challenging technical aspects of eVTOLs, including aerodynamic effects and cross-tilted rotor blade design, battery discharge effects, and control law design. First, we develop a system simulation platform for a large-scale manned eVTOL, incorporating aerodynamic effects and a discharge model for the power battery. Second, we design a cross-tilted configuration for rotor blades to enhance yaw channel control sensitivity and reduce power consumption in that channel significantly. Third, PID control law and Model Reference Adaptive Control (MRAC) are integrated as the flight control algorithm for the large-scale manned eVTOL, achieving excellent experimental results in hover flight, waypoint tracking, path following, and other motion control tasks. This algorithm enables stable flight even in the presence of external disturbances. Simulations and experimental results complete the work.","url":"https://doi.org/10.1109/cac59555.2023.10451698","authors":["Hongjiao Niu","Anhuan Xie","Xufei Yan","Shiqiang Zhu","Yiren Hu","Xiaojia Han"],"tags":["Aerospace engineering","Aeronautics","Motion control","Motion (physics)","Control (management)"],"confidence":0.72,"sites":["low-altitude"],"publishedDate":"2023-11-17","doi":"10.1109/cac59555.2023.10451698","addedAt":"2026-08-31T06:39:37.238Z","updatedAt":"2026-08-31T14:45:35.251Z"},{"id":"doi:10.1017/aer.2023.112","name":"Wind tunnel test of full-scale wing-propeller system of a eVTOL aircraft","source":"crossref","abstract":"Abstract The present paper describes the results of an experimental wind tunnel test campaign aimed at investigating the aerodynamic performance and flow physics related to a wing section equipped with two propellers mounted on a boom. The configuration investigated is meant to be representative of a full-scale eVTOL aircraft in cruise flight condition. The use of full-scale components of an eVTOL aircraft made this setup a quite advanced experiment in the recent literature. Pressure measurements and an infrared thermography technique were used during the test campaign, respectively, to evaluate localised effects induced by the propeller blowing on the wing and to provide a quantitative evaluation of the amount of laminar flow on the wing surface with and without the influence of the propeller at different thrust conditions.","url":"https://doi.org/10.1017/aer.2023.112","authors":["L. Riccobene","D. Grassi","J.N. Braukmann","M. Kerho","G. Droandi","A. Zanotti"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-12-12T06:43:35Z","doi":"10.1017/aer.2023.112","addedAt":"2026-08-31T06:39:37.238Z","updatedAt":"2026-08-31T06:39:39.046Z"},{"id":"doi:10.3846/aviation.2025.23167","name":"Developing Alsim AL250 based eVTOL flight simulator","source":"crossref","abstract":"A novel eVTOL aircraft simulator was developed for research and teaching purposes. The simulator integrated MATLAB/Simulink flight dynamics model with Alsim AL250 FNPT II flight simulator. Simplified version of the Neoptera’s eOpter eVTOL aircraft was used as a test case to verify the flight simulator. It was shown that the aircraft responded as expected by the pilot and that the traditional handling qualities metrics and VTOL requirements (MIL-F-83300, MIL-F-8785C, EASA-SC-VTOL-02) could be used along the flight simulator to assess aircraft being tested. Take-off showed an increase in climb rate as well as overshoot of the target altitude with higher RPM setting. Qualitative assessment of transition showed suitable stability and control feel for the eVTOL to be operated by a single pilot. Quantitative assessment of the longitudinal manoeuvring characteristics showed Level 2 SPPO handling qualities for the tested eVTOL aircraft, qualitative definition of which agreed with the pilot’s opinion. It was also shown that increasing initial velocity for the SPPO mode test increased the mode’s natural frequency, but almost did not affect the damping ratio, which is within the expectations.","url":"https://doi.org/10.3846/aviation.2025.23167","authors":["Vilius Portapas"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-03-13T12:48:13Z","doi":"10.3846/aviation.2025.23167","addedAt":"2026-08-31T06:39:37.238Z","updatedAt":"2026-08-31T06:39:39.325Z"},{"id":"doi:10.4050/sm-2026-vlada-5165","name":"A Comparison of 2, 3, and 4 Bladed eVTOL Lift Rotor Performance and Vibratory Loads","source":"crossref","abstract":"This study investigates the performance and vibration characteristics of representative lift rotors for a notional lift+cruise electric vertical takeoff and landing (eVTOL) configuration. As new eVTOL concepts continue to be developed and others progress towards FAA certification, it is crucial to understand the performance and vibratory considerations associated with different lift rotor design choices, including the number of blades and the method of thrust control (e.g., variable blade pitch/fixed RPM vs. fixed blade pitch/variable RPM). The NASA Revolutionary Vertical Lift Technology (RVLT) Lift+Cruise configuration was chosen as the baseline vehicle for this analysis (Ref 1). The investigation includes the evaluation of multiple lift rotors with 2-, 3-, and 4-bladed configurations as well as variable- vs. fixed-pitch designs. Both isolated rotor and full vehicle simulations were assessed to demonstrate some of the design variables applicable to the full vehicle performance and vibratory content. Industry-standard rotorcraft comprehensive analysis software, the Rotorcraft Comprehensive Analysis System (RCAS) (Ref 3), was used to evaluate and compare each configuration for performance and vibratory loads at key points in the rotors and in the fuselage","url":"https://doi.org/10.4050/sm-2026-vlada-5165","authors":["Sayna Saberi","Matthew Hasbun","Hossein Saberi"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-05-29T15:17:21Z","doi":"10.4050/sm-2026-vlada-5165","addedAt":"2026-08-31T06:39:37.238Z","updatedAt":"2026-08-31T06:39:38.731Z"},{"id":"doi:10.1109/maes.2025.3566023","name":"Safety Assessment and Fault Tolerance in eVTOL Aircraft Flight Control System: Current Status and Challenges","source":"crossref","abstract":"","url":"https://doi.org/10.1109/maes.2025.3566023","authors":["Xiaojia Han","Chao Pei"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-05-01T13:24:44Z","doi":"10.1109/maes.2025.3566023","addedAt":"2026-08-31T06:39:37.238Z","updatedAt":"2026-08-31T06:39:38.731Z"},{"id":"doi:10.4050/f-0075-2019-14454","name":"Aeroacoustic Modeling of an eVTOL Slowed Rotor Winged Compound Aircraft","source":"crossref","abstract":"Piasecki Aircraft Corporation (PiAC) and Continuum Dynamics, Inc. (CDI) are investigating noise levels of the PA890, an emergent eVTOL slowed rotor winged compound (SRWC) configuration using the CHARM/PSU-WOPWOP aeroacoustic analysis. While the adoption of electric drive eliminates engine noise, this design allows several operational degrees of freedom that permit it to further mitigate noise mechanisms associated with conventional single rotor helicopters, including: lift compounding to offload the main rotor; reduction of main rotor RPM in cruise; and a dual mode (antitorque/pusher) tail rotor that allows alternate modes of operation for targeted forward flight conditions, with significant potential for noise reduction. This paper provides an overview of an acoustics analysis of the PA890 eVTOL SRWC configuration, including a comparison to an existing single rotor civil helicopter; and the principal noise mechanisms affecting each type of aircraft and the opportunities offered by the SRWC configuration to mitigate them. Ongoing work to further clarify important noise mechanisms is also outlined.","url":"https://doi.org/10.4050/f-0075-2019-14454","authors":["Todd Quackenbush","Luigi Ricci-Moretti","Kenneth Brentner","Daniel Wachspress","Dinesh Barwey","Robert Lewis"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-07-21T13:53:26Z","doi":"10.4050/f-0075-2019-14454","addedAt":"2026-08-31T06:39:37.238Z","updatedAt":"2026-08-31T06:39:39.046Z"},{"id":"doi:10.1109/icuas57906.2023.10156619","name":"Transition Control Planning and Optimization for a Boxed-wing eVTOL Tiltrotor Vehicle using Trim Analysis","source":"openalex","abstract":"Electric vertical takeoff and landing aircraft (eVTOL) is a rapidly growing research field with immense potential for its applications in urban air mobility (UAM). One particular type of eVTOL, the Tiltrotor, stands out for its ability to switch between helicopter and fixed-wing modes during the transition flight period. During this phase, the direction of the propulsion system thrust is adjusted, causing a change in the aircraft’s shape. Proper tilt angle control is crucial for ensuring stable transition flight, as it is influenced by both the propulsion system and aerodynamics. In this study, we employ trim analysis to identify the tilt corridor and formulate a tilt angle control strategy. The flight performance of the Tiltrotor is then evaluated through simulations that utilize optimization algorithms such as Stochastic Gradient Descent (SGD) and Genetic Algorithm (GA) to find the optimal values of parameters related to the transition flight.Our approach provides valuable insights into the impact of tilt angle control on the stability and efficiency of Tiltrotor eVTOLs during transition flight.","url":"https://doi.org/10.1109/icuas57906.2023.10156619","authors":["Jeongseok Hyun","Minseok Jang","Tuan Anh Nguyen","Jae-Woo Lee","Tuấn Anh Nguyễn","Jae Wook Lee"],"tags":["Thrust","Propulsion","Aerospace engineering","Descent (aeronautics)","Aerodynamics"],"confidence":0.72,"sites":["low-altitude"],"publishedDate":"2023-06-06","doi":"10.1109/icuas57906.2023.10156619","addedAt":"2026-08-31T06:39:37.238Z","updatedAt":"2026-08-31T14:45:35.251Z"},{"id":"doi:10.1109/dasc58513.2023.10311329","name":"A Vision-Based Approach to Autonomous Landing of an eVTOL Aircraft in GPS-Denied Environments","source":"crossref","abstract":"","url":"https://doi.org/10.1109/dasc58513.2023.10311329","authors":["Fernanda Villafana Benitez","Aidan Rutherford","Johann Van Hilst","Eric Babcock","Madison Schlief","Lukas Markussen"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-11-10T18:49:47Z","doi":"10.1109/dasc58513.2023.10311329","addedAt":"2026-08-31T06:39:37.238Z","updatedAt":"2026-08-31T06:39:39.046Z"},{"id":"doi:10.2514/6.2023-3612","name":"Designing eVTOL and UAM Aircraft for Flight Safety, EMP, EMI and HIRF Resistance, FAA Certification, Insurability, Ground Safety and Community Acceptance","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2023-3612","authors":["Ronald M. Barrett-Gonzalez","Mason Denneler","Zach Schwab","Micaela Crispin"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-06-08T11:36:49Z","doi":"10.2514/6.2023-3612","addedAt":"2026-08-31T06:39:37.238Z","updatedAt":"2026-08-31T06:39:39.046Z"},{"id":"doi:10.3390/aerospace9110690","name":"A Conceptual Design and Optimization Approach for Distributed Electric Propulsion eVTOL Aircraft Based on Ducted-Fan Wing Unit","source":"crossref","abstract":"The distributed electric propulsion (DEP) eVTOL aircraft has gained rising interest for its promising potential in high-speed cruise compared with conventional tilt-rotor configuration. The aerodynamic interference of the DEP units and wing could become more complicated with a variable thrust in multiple flight conditions. Thus, it requires considerable effort to trade off in the whole design process. Aimed at improving the design efficiency in iteration cycling of a ducted-fan DEP eVTOL aircraft, a conceptual design and optimization approach is proposed in this paper regarding the single-ducted fan and its surrounding wing section as the basic unit. The optimization of the ducted-fan wing (DFW) unit is targeted at improving both hover and cruise efficiencies. After the verification of the span independence of the lift-and-drag coefficients of the DFW unit, a novel DEP eVTOL aircraft conceptual design approach is established based on the vertical meridional plane DFW unit performance analysis. In the following case study, the optimized DFW unit and the conceptual method are applied on a canard configuration, achieving 720 km/h maximum speed, a hovering efficiency of 76.3%, and a 10.7 cruise lift-to-drag ratio. The remarkable performance and concise workflow in the case study both demonstrated the applicability and effectiveness of the proposed design schemes for DEP eVTOL aircraft.","url":"https://doi.org/10.3390/aerospace9110690","authors":["Tielin Ma","Xiangsheng Wang","Nanxuan Qiao","Zilun Zhang","Jingcheng Fu","Mingmin Bao"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2022-11-07T02:43:51Z","doi":"10.3390/aerospace9110690","addedAt":"2026-08-31T06:39:37.238Z","updatedAt":"2026-08-31T06:39:39.046Z"},{"id":"doi:10.4050/sm_evtol_2025-5347","name":"Eve: Mobility Reimagined","source":"crossref","abstract":"Eve: Mobility Reimagined","url":"https://doi.org/10.4050/sm_evtol_2025-5347","authors":["Tiago Gomes"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-07-21T15:49:59Z","doi":"10.4050/sm_evtol_2025-5347","addedAt":"2026-08-31T06:39:37.238Z","updatedAt":"2026-08-31T06:39:39.325Z"},{"id":"doi:10.4050/f-0079-2023-1151","name":"Dynamic Shock Load Analysis of an eVTOL Aircraft Transmission System","source":"openalex","abstract":"Electric Vertical Take-Off and Landing (eVTOL) aircraft are considered as a solution to support urban transportation, including cargo delivery (Unmanned Aerial Vehicles, UAVs) and passenger travel (Urban Air Mobility, UAM). Over the last few years many different concepts have been derived and tested to varying levels of maturity. The race for the most efficient, safe and reliable system solution ongoing, with many new challenges in the propulsion system and energy storage technology and design space, including specifically the power electronics, electrical machine (e-machine) and transmission design and verification.This paper presents an integrated '3in1' eVTOL e-Propulsion concept that has been developed utilizing a novel, integrated, model-based system engineering (MBSE) workflow that is enabled via newly developed model-translation capabilities and software interfaces. It starts with the design of the drivetrain based on a steady-state approach with low computational effort, which is then rapidly translated into a multibody model and directly coupled to a high-fidelity behavioral model of the e-machine, the inverter and control system, to represent reaction loads with even higher fidelity. The resulting holistic model can be used for assessing performance, efficiency and robustness, including various foreseeable dynamic loads such as turbulence. It was found that this workflow was valuable in supporting the risk-reduction exercise during the development of a complex aerospace propulsion system, promoting reliability and safety engineering methodology from the outset.","url":"https://doi.org/10.4050/f-0079-2023-1151","authors":["Dexin Wang","Andrew Johnston","Giorgio Valente","Younes Riache","Jennifer Peeples","Hanafy Mahmoud"],"tags":["Propulsion","Aerospace","Drivetrain","Automotive engineering","Engineering"],"confidence":0.72,"sites":["low-altitude"],"publishedDate":"2023-05-16","doi":"10.4050/f-0079-2023-1151","addedAt":"2026-08-31T06:39:37.238Z","updatedAt":"2026-08-31T14:45:35.251Z"},{"id":"doi:10.4050/sm_evtol_2025-5341","name":"PIVOTAL - Capability Delivered","source":"crossref","abstract":"PIVOTAL - Capability Delivered","url":"https://doi.org/10.4050/sm_evtol_2025-5341","authors":["Ken Karklin"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-07-21T15:49:59Z","doi":"10.4050/sm_evtol_2025-5341","addedAt":"2026-08-31T06:39:37.238Z","updatedAt":"2026-08-31T06:39:39.325Z"},{"id":"doi:10.26467/2079-0619-2023-26-4-93-111","name":"A simulation model for the electrical rotary-wing aircraft (eVTOL) performance estimation for the urban air mobility purposes","source":"crossref","abstract":"The present paper presents a simulation model description developed for the aircraft performance estimation of the most popular electric vertical takeoff and landing aircraft (eVTOL) aerodynamic configurations with the electric (hybrid) power plant for the urban air mobility purposes. It focuses on the quadcopter-type eVTOL aircraft aerodynamic configurations using the unshrouded-propellers or ducted fans driven by electric motors. The aircraft performance analysis for aerodynamic configurations of the quadcopter and tilt rotor-quadcopters with the tilt rotors and wing with the all-electric (EP) or hybrid power plant (HP) is given. To compare aircraft performance, the estimation results for a conventional single-rotor helicopter with EP or HP are given. Based on the numerical solution equation of the aircraft existence, feasible structural components mass distributions for various types of eVTOL configurations were obtained. eVTOL aircraft performance, including the estimation of apparent and drag power for the airspeed range, from hovering to the maximum airspeed, as well as for the transition modes (tilt rotor aircraft and quadcopters) were estimated. The eVTOL aircraft flight range and duration with EP and HP at the straight and level flight mode were calculated. Specific mass characteristics of EP and HP components (batteries, generators, electric motors, etc.) to ensure acceptable eVTOL aircraft performance were identified. A comparative evaluation of considered eVTOL configurations for the purpose of their efficiency was performed. Aerodynamic calculations were carried out based on the known analytical techniques of the lifting propeller momentum theory with the data correction capability according to test results. The simulation model, obtained in this paper, can be considered in the phase of the preliminary choice as the first approach of structural parameters and aerodynamic configurations of prospective electric (hybrid) eVTOLs designed for the use as an urban air taxi.","url":"https://doi.org/10.26467/2079-0619-2023-26-4-93-111","authors":["M. I. Myasnikov","I. R. Ilyin"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-08-28T12:55:33Z","doi":"10.26467/2079-0619-2023-26-4-93-111","addedAt":"2026-08-31T06:39:37.238Z","updatedAt":"2026-08-31T06:39:39.046Z"},{"id":"doi:10.4050/f-0079-2023-17938","name":"Investigation of Departure Transition Noise for Lift-plus-Cruise eVTOL Aircraft","source":"openalex","abstract":"This paper investigates the acoustics and performance during departure transition maneuvers for an eVTOL aircraft design of lift-plus-cruise configuration. A variable pitch lift rotor thrust control scheme with an airspeed-dependent schedule of rotor RPMs was used to fly the transition maneuvers. Parametric sweeps at different flight speeds were used to develop a schedule that would meet the goals of low noise and low power consumption. The aircraft forces and moments were studied throughout the departure transition maneuver and significant, unsymmetrical rotor-wing interaction occurred in the range of 40 - 70 knots. A change in the control mixer was found to reduce the impact of rotor-wing interactions on motor power consumption, improving the power margin and safety of the aircraft. Three departure transition maneuvers were studied to compare the power and energy required and the acoustic impact. First, a level acceleration maneuver prioritized airspeed gain; second, an axial climb maneuver prioritized altitude gain; and third a continuous climb maneuver was a combination of both strategies, as it accelerated and climbed at the same rate as the other two maneuvers. In general, it was observed that transitioning to wing-borne flight as quickly as possible reduced both acoustic impact and energy consumption during the departure maneuvers.","url":"https://doi.org/10.4050/f-0079-2023-17938","authors":["Bhasker Mukherjee","Andrew Jue","Jean-Pierre Theron","Kenneth Brentner","Eric Greenwood","Joseph Horn","Jean-Pierre Théron","Kenneth S. Brentner","Joseph F. Horn"],"tags":["Airspeed","Climb","Thrust","Wing","Lift (data mining)"],"confidence":0.72,"sites":["low-altitude"],"publishedDate":"2023-05-16","doi":"10.4050/f-0079-2023-17938","addedAt":"2026-08-31T06:39:37.238Z","updatedAt":"2026-08-31T14:45:35.251Z"},{"id":"doi:10.3390/aerospace13070566","name":"Framework for Rapid eVTOL Aircraft Configuration Design: Methodology and Verification","source":"openalex","abstract":"Advances in electric flight technologies have enabled distributed electric propulsion, opening a large design space for electric vertical take-off and landing (eVTOL) aircraft with diverse configurations and mission profiles. To support rapid exploration of these trade-offs, a computationally efficient sizing and performance evaluation tool has been developed. This study focuses on the verification of the key methods within the framework. The propeller sizing and performance model is verified against conventional helicopter rotors and representative eVTOL designs, while the battery discharge model is assessed using experimental data. In addition, the overall aircraft sizing is evaluated for two configurations of NASA’s Urban Air Mobility reference vehicles and compared with results obtained using NASA’s state-of-the-art rotorcraft design tool NDARC. The results show good agreement across all levels of verification. Average deviations are within 8% for propeller performance, below 5% for battery discharge, and within 4% for maximum take-off and empty mass. Mission performance and energy consumption are predicted within approximately 10%, demonstrating the suitability of the methodology for early-stage eVTOL design.","url":"https://doi.org/10.3390/aerospace13070566","authors":["Radimir Y. Yanev","Ingo Staack"],"tags":["Sizing","Propeller","Automotive engineering","Battery (electricity)","Engineering"],"confidence":0.72,"sites":["low-altitude"],"publishedDate":"2026-06-23","doi":"10.3390/aerospace13070566","addedAt":"2026-08-31T06:39:37.238Z","updatedAt":"2026-08-31T14:45:35.251Z"},{"id":"doi:10.4050/sm_evtol_2025-5370","name":"Cargo and Military Applications","source":"crossref","abstract":"Cargo and Military Applications","url":"https://doi.org/10.4050/sm_evtol_2025-5370","authors":["Dan Newman"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-07-21T15:49:59Z","doi":"10.4050/sm_evtol_2025-5370","addedAt":"2026-08-31T06:39:37.238Z","updatedAt":"2026-08-31T06:39:39.325Z"},{"id":"doi:10.2514/6.2019-4406","name":"Using Multi-physics System Simulation to Predict Battery Pack Thermal Performance and Risk of Thermal Runaway During eVTOL Aircraft Operations","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2019-4406","authors":["Jonathan Harrison","Devin Charles","Jon Zenker","Evan Frank"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2019-08-16T19:07:32Z","doi":"10.2514/6.2019-4406","addedAt":"2026-08-31T06:39:37.238Z","updatedAt":"2026-08-31T06:39:39.046Z"},{"id":"doi:10.1109/iteceats66641.2026.11592857","name":"Data-Driven Fault Identification of a Nine-Phase BLDC Motor Drive Using FFT and Gaussian Augmentation for Small eVTOL Aircraft","source":"crossref","abstract":"","url":"https://doi.org/10.1109/iteceats66641.2026.11592857","authors":["Van Nam Nguyen","Akhila Chitturi","Quang-Manh Hoang","Van-Hai Bui","Taehyung Kim"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-07-14T19:38:29Z","doi":"10.1109/iteceats66641.2026.11592857","addedAt":"2026-08-31T06:39:37.238Z","updatedAt":"2026-08-31T06:39:38.731Z"},{"id":"doi:10.4050/f-0076-2020-16385","name":"Flight Dynamics and Control of an eVTOL Concept Aircraft with a Propeller-Driven Rotor","source":"crossref","abstract":"The objective of this investigation is three-fold. First, to assess the flight dynamics of an electric Vertical Take-Off and Landing (eVTOL) concept aircraft with a propeller-driven rotor. Second, to develop a Stability and Control Augmentation System (SCAS) for this concept aircraft. Third, to verify the potential safety benefits of the concept aircraft by analyzing the autorotation performance following a total loss of power. The paper begins with a description of the simulation model, including a detailed discussion on the inflow model of the propellers that drive the main rotor. Next, the flight dynamics are assessed at hover and in forward flight. A SCAS based on Dynamic Inversion (DI) is developed to provide stability and desired response characteristics about the roll, pitch, yaw, and heave axes for speeds ranging from hover to 80 kts. Additionally, an RPM governor is implemented to hold the main rotor angular speed constant at its nominal value. Finally, simulations that make use of the SCAS are performed to analyze the autorotation performance following total loss of power.","url":"https://doi.org/10.4050/f-0076-2020-16385","authors":["Umberto Saetti","Jacob Enciu","Joseph Horn"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-07-10T21:31:26Z","doi":"10.4050/f-0076-2020-16385","addedAt":"2026-08-31T06:39:37.238Z","updatedAt":"2026-08-31T06:39:39.046Z"},{"id":"doi:10.1080/00051144.2026.2656046","name":"Machine learning-based assessment technique of state-of-health, remaining useful life, and maximum operating temperature for lithium-ion battery for eVTOL aircraft","source":"crossref","abstract":"","url":"https://doi.org/10.1080/00051144.2026.2656046","authors":["Hasan Çınar","Süleyman Tunçel"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-04-13T20:19:54Z","doi":"10.1080/00051144.2026.2656046","addedAt":"2026-08-31T06:39:37.238Z","updatedAt":"2026-08-31T06:39:38.731Z"},{"id":"doi:10.4050/sm_evtol_2025-5357","name":"Piasecki Hydrogen - Electric Propulsion Programs","source":"crossref","abstract":"Piasecki Hydrogen - Electric Propulsion Programs","url":"https://doi.org/10.4050/sm_evtol_2025-5357","authors":["John Scott"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-07-21T15:49:59Z","doi":"10.4050/sm_evtol_2025-5357","addedAt":"2026-08-31T06:39:37.238Z","updatedAt":"2026-08-31T06:39:37.238Z"},{"id":"doi:10.2514/6.2025-3003","name":"Evaluation of Urban-Flow-Informed Gusts on eVTOL Vertiport Approach Acoustics","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2025-3003","authors":["Adam A. Rozman","Sheryl Grace"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-07-16T21:24:43Z","doi":"10.2514/6.2025-3003","addedAt":"2026-08-31T06:39:37.238Z","updatedAt":"2026-08-31T06:39:37.238Z"},{"id":"doi:10.2514/6.2025-3136","name":"Optimum Hover Conditions for Reduced Noise From a Notional eVTOL Rotor","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2025-3136","authors":["Charles E. Tinney","John Valdez"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-07-16T21:24:43Z","doi":"10.2514/6.2025-3136","addedAt":"2026-08-31T06:39:37.238Z","updatedAt":"2026-08-31T06:39:37.238Z"},{"id":"doi:10.4050/sm_evtol_2025-5346","name":"Latest Updates on SkyDrive","source":"crossref","abstract":"Latest Updates on SkyDrive","url":"https://doi.org/10.4050/sm_evtol_2025-5346","authors":["Kenji Nakagwa"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-07-21T15:49:59Z","doi":"10.4050/sm_evtol_2025-5346","addedAt":"2026-08-31T06:39:37.238Z","updatedAt":"2026-08-31T06:39:37.238Z"},{"id":"doi:10.1007/978-3-031-92011-0_22","name":"A Study on Mid-Air Collision Avoidance of Lift-Cruise eVTOL UAM Aircraft Using SVO","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-031-92011-0_22","authors":["Sungtak Oh","Jeonghun Shin","Dongjin Lee","Nicholas Lawson","Zihao Wang","K. C. Wong"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-07-15T16:07:29Z","doi":"10.1007/978-3-031-92011-0_22","addedAt":"2026-08-31T06:39:37.238Z","updatedAt":"2026-08-31T06:39:39.468Z"},{"id":"doi:10.4050/sm_evtol_2025-5342","name":"Unither Bioelectronics - Enabling Inspiration","source":"crossref","abstract":"Unither Bioelectronics - Enabling Inspiration","url":"https://doi.org/10.4050/sm_evtol_2025-5342","authors":["Michael Cardinal"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-07-21T15:49:59Z","doi":"10.4050/sm_evtol_2025-5342","addedAt":"2026-08-31T06:39:37.238Z","updatedAt":"2026-08-31T06:39:37.238Z"},{"id":"doi:10.4050/sm_evtol_2025-5348","name":"Jaunt Program Update","source":"crossref","abstract":"Jaunt Program Update","url":"https://doi.org/10.4050/sm_evtol_2025-5348","authors":["Simon Briceno"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-07-21T15:49:59Z","doi":"10.4050/sm_evtol_2025-5348","addedAt":"2026-08-31T06:39:37.238Z","updatedAt":"2026-08-31T06:39:37.238Z"},{"id":"doi:10.1109/icuas54217.2022.9836046","name":"Design of a tactical eVTOL UAV with a Hydrogen Fuel Cell","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icuas54217.2022.9836046","authors":["Vasco Coelho","Pedro Silva","Paulo Sa","Joao Caetano","Luis Felix","Frederico Afonso","Andre Marta"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2022-07-26T19:39:18Z","doi":"10.1109/icuas54217.2022.9836046","addedAt":"2026-08-31T06:39:37.238Z","updatedAt":"2026-08-31T06:39:39.046Z"},{"id":"doi:10.4050/f-0082-2026-0293","name":"Shape Optimization of a Single-Stator Dual-Rotor Axial Flux Motor for eVTOL Aircraft","source":"crossref","abstract":"Emerging technologies in the field of electrified propulsion systems offer a promising solution to reduce the dependence on fossil fuels and improve efficiency. However, the design of high-power density electric machines introduces new challenges, including limited passive cooling potential and the issue of the weight of electric motors. To address these challenges, this paper considers analysis and design methods for high torque-to-weight ratio axial flux motors. A magnetic equivalent circuit model coupled with a lumped parameter thermal network is developed for design space exploration and optimization. This inexpensive analytical model predicts the performance of a single-stator dual-rotor axial flux motor based on geometry, loading condition, and slot and pole pair combination. To enable comparisons against real-world data, the optimization study was demonstrated using the hover mission requirements from the Research Aircraft for eVTOL Enabling techNologies (RAVEN) vehicle to minimize the mass of the motor. In tandem with the analytical model, a higher-fidelity finite element model was also developed, and good agreement between predicted power and efficiency was demonstrated across a range of axial flux motor designs. The lightest weight design that satisfied the hover mission requirements was the 12 pole pair 27 slot (12PP 27S) configuration with a fixed weight of 9.28 kg. The analytic model undersized the output power of the electric motor by approximately 9% across a range of slot and pole pair combinations.","url":"https://doi.org/10.4050/f-0082-2026-0293","authors":["Seiyon Arulampalam","Brian German","Graeme Kennedy","Cameron Smith","Jonathan Gutknecht"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-06-10T23:06:42Z","doi":"10.4050/f-0082-2026-0293","addedAt":"2026-08-31T06:39:37.238Z","updatedAt":"2026-08-31T06:39:38.731Z"},{"id":"doi:10.4050/sm_evtol_2025-5354","name":"VerdeGo Aero: Hybrid-Electric Powerplants","source":"crossref","abstract":"VerdeGo Aero: Hybrid-Electric Powerplants","url":"https://doi.org/10.4050/sm_evtol_2025-5354","authors":["Eric Bartsch"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-07-21T15:49:59Z","doi":"10.4050/sm_evtol_2025-5354","addedAt":"2026-08-31T06:39:37.238Z","updatedAt":"2026-08-31T06:39:37.238Z"},{"id":"doi:10.2514/6.2025-1634","name":"Performance of eVTOL Rotors Through Dynamic Transition","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2025-1634","authors":["Joseph S. Dawe","Samuel Bull","Michael J. Carley","Carl M. Sangan"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-02-12T10:03:43Z","doi":"10.2514/6.2025-1634","addedAt":"2026-08-31T06:39:37.238Z","updatedAt":"2026-08-31T06:39:37.238Z"},{"id":"doi:10.1016/j.eswa.2025.130363","name":"System dynamics analysis of development risks in emerging eVTOL aircraft","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.eswa.2025.130363","authors":["Yibing Wu","Shuguang Zhang","Xu Ni","Xuejun Li"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-11-07T22:07:38Z","doi":"10.1016/j.eswa.2025.130363","addedAt":"2026-08-31T06:39:37.238Z","updatedAt":"2026-08-31T06:39:38.731Z"},{"id":"doi:10.1016/j.etran.2025.100477","name":"Predicting battery degradation for electric vertical take-off and landing (eVTOL) aircraft: A comprehensive review of methods, challenges, and future trends","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.etran.2025.100477","authors":["Baoji Wang","Teng Xu","Bailin Zheng","Yue Kai","Kai Zhang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-09-17T18:47:09Z","doi":"10.1016/j.etran.2025.100477","addedAt":"2026-08-31T06:39:37.238Z","updatedAt":"2026-08-31T06:39:38.731Z"},{"id":"doi:10.1007/978-981-95-6988-5_68","name":"A Cascaded Control Law Design of Tilting-Ducted Fan eVTOL Aircraft for Thrustborne Phases","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-981-95-6988-5_68","authors":["Wansen Yao","Zhidong Lu","Mingkai Wang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-08-14T08:35:57Z","doi":"10.1007/978-981-95-6988-5_68","addedAt":"2026-08-31T06:39:37.238Z","updatedAt":"2026-08-31T06:39:38.731Z"},{"id":"doi:10.1115/imece2022-97123","name":"CFD and Experimental Investigation of Graphite Heat Spreader Based Cooling for Li-Ion Batteries for Electric Vehicles and EVTOL (Electric Vertical Take-Off and Landing) Aircraft Applications","source":"crossref","abstract":"Abstract Over the past few years, owing to different critical features such as high energy densities, safety, cycle-life etc., Lithium-ion batteries have been used successfully as an energy storage system for automotive applications. In addition, due to recent increase in interests towards developing EVTOL (Electric Vertical Take-Off and Landing) aircrafts, demand for Li-Ion batteries capable of providing high power discharge and charge along with above mentioned features has increased. Thermal Management System (TMS) is a critical component of a Li-Ion battery system that enables sustained high-power peak performance, improves overall life-cycle, and reduces possibility of thermal runaway during regular vehicle operation. The current article studies two different cooling configurations for thermal management of a commercially available 9 A-h Nickel Manganese Cobalt (NMC) Lithium-ion pouch cell for high C-rate conditions. The two configurations are referred to as the Double-sided cooling and Hybrid cooling, which includes a novel approach utilizing graphite-based heat spreader. The thermal performance for both configurations are studied through experimental testing and CFD (computational fluid dynamics) modeling. During experimental analysis, the pouch cell was subjected to high C-rate discharges of 3C, 4C and 5C using an Arbin controller and thermal test bench including a cold plate, mass flow meter, and temperature sensors. The temperature response of the cell is measured using T-type thermocouples that are strategically installed on its surface using a thermal interface material. For the numerical analysis, time-accurate, conjugate heat transfer-based 3D CFD simulations are conducted on high spatial resolution grids with a commercially available finite-volume method based CFD software. Numerical simulations at the mentioned C-rates are then run to explore the overall temperature distribution on the cell body. Temperature estimates from the numerical model are compared to the test data for the most aggressive 5C discharge condition. Both experimental testing and numerical modeling show that the Hybrid cooling approach provides higher rate of heat transfer compared to Double-sided cooling, owing to high thermal conductivity of graphite. Average cell surface temperatures using Hybrid cooling are ∼3°C, 3.7°C and 4.3°C lower than Double-sided cooling for 3C, 4C and 5C discharge conditions, respectively. The maximum measured cell temperature at the end of the most aggressive 5C discharge is 6°C lower in the case of Hybrid cooling. The temperature gradients are also less aggressive thereby allowing for a more uniform temperature distribution within the cell. Additional results in terms of flow and temperature distributions are also provided for the cold plate present in the cooling setup.","url":"https://doi.org/10.1115/imece2022-97123","authors":["Shashwat Bakhshi","Prahit Dubey"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-02-08T21:37:12Z","doi":"10.1115/imece2022-97123","addedAt":"2026-08-31T06:39:37.238Z","updatedAt":"2026-08-31T06:39:39.047Z"},{"id":"doi:10.4050/f-0076-2020-16404","name":"The Influence of the Wiring Harness on the System Performance of eVTOL Aircraft on the Example of Common Reference Models","source":"crossref","abstract":"This paper deals with the influence of the wiring harness on the system performance of electric vertical take-off and landing (eVTOL) aircraft. The architecture and connections of the wiring harness are formalized using graph theory. The adjacency and incidence matrices provided by algebraic graph theory are used to define the harness connections and links. The current flows within the harness are calculated by applying Kirchhoff’s and Ohm's law to the network equations. Three common reference models are used to simulate and optimize different harness architectures. The harness architectures differ in the kind of connection and number of harness links. The optimization is done using two objectives. One objective is to maximize the range of the aircraft. The other objective, to minimize the harness mass, is used to show the performance difference of such a wiring harness. The influence of the system voltage and the take-off mass are examined as well. The results of the optimizations show, that a wiring harness exists for each configuration which maximizes the range of the aircraft. This optimal wiring harness is not the wiring harness with the lowest mass.","url":"https://doi.org/10.4050/f-0076-2020-16404","authors":["Sebastian Oberschwendtner","Mirko Hornung"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-07-10T20:45:00Z","doi":"10.4050/f-0076-2020-16404","addedAt":"2026-08-31T06:39:37.238Z","updatedAt":"2026-08-31T06:39:39.047Z"},{"id":"doi:10.2139/ssrn.5385581","name":"Propeller-Wing Interactions of a Lift + Cruise Evtol Configuration During Transition","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.5385581","authors":["Oliver Westcott","Robert Entwistle","Swathi Krishna"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-08-09T18:37:30Z","doi":"10.2139/ssrn.5385581","addedAt":"2026-08-31T06:39:37.238Z","updatedAt":"2026-08-31T06:39:39.325Z"},{"id":"doi:10.4050/sm_evtol_2025-5359","name":"MagLev Aero at VFS TVF 2025","source":"crossref","abstract":"MagLev Aero at VFS TVF 2025","url":"https://doi.org/10.4050/sm_evtol_2025-5359","authors":["Ian Randall"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-07-21T15:49:59Z","doi":"10.4050/sm_evtol_2025-5359","addedAt":"2026-08-31T06:39:37.238Z","updatedAt":"2026-08-31T06:39:37.238Z"},{"id":"doi:10.2514/6.2025-2707","name":"Development and Testing of a Hybrid Electric Propulsion Architecture for Subscale eVTOL","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2025-2707","authors":["Benjamin M. Davis","Rajan Bhandari","Imon Chakraborty"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-02-12T10:03:43Z","doi":"10.2514/6.2025-2707","addedAt":"2026-08-31T06:39:37.238Z","updatedAt":"2026-08-31T06:39:37.238Z"},{"id":"doi:10.2514/6.2018-2884","name":"Progress in Vertiport Placement and Estimating Aircraft Range Requirements for eVTOL Daily Commuting","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2018-2884","authors":["Matthew Daskilewicz","Brian German","Matthew Warren","Laurie A. Garrow","Sreekar-Shashank Boddupalli","Thomas H. Douthat"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2018-06-24T13:57:23Z","doi":"10.2514/6.2018-2884","addedAt":"2026-08-31T06:39:37.238Z","updatedAt":"2026-08-31T06:39:39.047Z"},{"id":"doi:10.4050/f-0082-2026-0226","name":"Model-based Optimization of Fuel Cell Powered Vertical Take-Off and Landing (eVTOL) Aircraft","source":"crossref","abstract":"Electric Vertical Take-Off and Landing (eVTOL) aircraft are poised to transform urban and regional mobility by offering zero-emission, congestion-free transportation. As regulatory frameworks evolve and advanced air mobility (AAM) gains traction, manufacturers are exploring propulsion strategies that improve range, power delivery, and overall system efficiency. A key challenge in eVTOL development is balancing range with payload capacity. While larger battery packs can extend range, they also increase system weight, reduce payload, and prolong charging times, limiting operational flexibility and turnaround time. Hydrogen fuel cells, supported by liquid hydrogen (LH₂) present a promising alternative for eVTOL propulsion. This study proposes a methodology for optimizing fuel cell propulsion systems tailored to eVTOL applications. A multi-physics modeling framework for eVTOL flight dynamics and propulsion system was developed, representing the target eVTOL configuration. For a defined flight path including vertical takeoff, hover, cruise, and landing, a Genetic Algorithm (GA) based optimization was conducted on propulsion system. The algorithm down-selected battery size, fuel cell stack specifications, and hydrogen tank capacity to meet mission requirements while minimizing propulsion system weight. The modeling framework was also used to evaluate trade-offs between payload and performance as functions of component sizing, battery chemistry and energy distribution strategy.","url":"https://doi.org/10.4050/f-0082-2026-0226","authors":["Bruno Garcia","Sumit Paul","Sophia Zeigler","Michael Franke","Satyum Joshi","Joao Araujo"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-06-10T23:06:42Z","doi":"10.4050/f-0082-2026-0226","addedAt":"2026-08-31T06:39:37.238Z","updatedAt":"2026-08-31T06:39:38.731Z"},{"id":"doi:10.4050/sm_evtol_2025-5343","name":"Daedalean - AI's Transformation of Flight","source":"crossref","abstract":"Daedalean - AI's Transformation of Flight","url":"https://doi.org/10.4050/sm_evtol_2025-5343","authors":["Yemaya Bordain"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-07-21T15:49:59Z","doi":"10.4050/sm_evtol_2025-5343","addedAt":"2026-08-31T06:39:37.238Z","updatedAt":"2026-08-31T06:39:37.238Z"},{"id":"doi:10.4050/f-0074-2018-12673","name":"Models and Methods at ONERA for the Presizing of eVTOL Hybrid Aircraft Including Analysis of Failure Scenarios","source":"crossref","abstract":"With the progress of electric power generation systems (hybrid propulsion or all-electric), it becomes now possible to make fly new electric Vertical Take-Off and Landing (eVTOL) concepts of aircraft. This step forward is a technology rupture which should allow breaking through the locks preventing from using more the VTOL aircraft. Indeed, the use of rotorcraft, especially in areas with high population density, is still limited by the public acceptance mainly because of the noise and the risk of crash in case of failure. A new design paradigm is emerging pushing to use distributed electric lift/ propulsion systems composed of rotary wings (propeller or rotor blades) and electric motors combined or not with fixed wings. Numerical models and methods are needed for exploring this new design space. This paper presents the extension of the CREATION numerical workshop and associated simulation tools in order to be able to deal with the predesign of eVTOL. A methodology for the presizing of eVTOL is proposed addressing the most demanding flight conditions with thruster(s) failure. The application of these models and methods is illustrated on a new eVTOL concept combining rotary wings and fixed wings.","url":"https://doi.org/10.4050/f-0074-2018-12673","authors":["Pierre-Marie Basset","Binh Vu","Philippe Beaumier","Gabriel Reboul","Biel Ortun"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-09-20T11:10:19Z","doi":"10.4050/f-0074-2018-12673","addedAt":"2026-08-31T06:39:37.238Z","updatedAt":"2026-08-31T06:39:39.047Z"},{"id":"doi:10.4050/sm_evtol_2025-5365","name":"Wisk: Looking Ahead - Enabling Automation","source":"crossref","abstract":"Wisk: Looking Ahead - Enabling Automation","url":"https://doi.org/10.4050/sm_evtol_2025-5365","authors":["Tom Gunnarson"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-07-21T15:49:59Z","doi":"10.4050/sm_evtol_2025-5365","addedAt":"2026-08-31T06:39:37.238Z","updatedAt":"2026-08-31T06:39:37.238Z"},{"id":"doi:10.12677/jast.2025.133007","name":"Challenges and Countermeasures of Domestic Aviation Meteorological Services in the Development of eVTOL","source":"crossref","abstract":"","url":"https://doi.org/10.12677/jast.2025.133007","authors":["福康 陈"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-09-03T06:02:16Z","doi":"10.12677/jast.2025.133007","addedAt":"2026-08-31T06:39:37.238Z","updatedAt":"2026-08-31T06:39:39.325Z"},{"id":"doi:10.4050/sm_evtol_2025-5362","name":"Dassault Systemes: Model-Based Certification","source":"crossref","abstract":"Dassault Systemes: Model-Based Certification","url":"https://doi.org/10.4050/sm_evtol_2025-5362","authors":["Behnam Afsharpoya"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-07-21T15:49:59Z","doi":"10.4050/sm_evtol_2025-5362","addedAt":"2026-08-31T06:39:37.239Z","updatedAt":"2026-08-31T06:39:37.239Z"},{"id":"doi:10.4050/sm_evtol_2025-5360","name":"Aerospace Electric Propulsion Systems","source":"crossref","abstract":"Aerospace Electric Propulsion Systems","url":"https://doi.org/10.4050/sm_evtol_2025-5360","authors":["Matthew Farides"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-07-21T15:49:59Z","doi":"10.4050/sm_evtol_2025-5360","addedAt":"2026-08-31T06:39:37.239Z","updatedAt":"2026-08-31T06:39:37.239Z"},{"id":"doi:10.5139/jksas.2025.53.8.839","name":"Vibration and Blade-Vortex Interaction Noise Analyses for Butterfly eVTOL Tiltrotor","source":"crossref","abstract":"","url":"https://doi.org/10.5139/jksas.2025.53.8.839","authors":["Hyeok-Jin Son","Jaeheon Jeong","Jae-Sang Park","Myeong-Kyu Lee"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-08-07T01:01:02Z","doi":"10.5139/jksas.2025.53.8.839","addedAt":"2026-08-31T06:39:37.239Z","updatedAt":"2026-08-31T06:39:39.325Z"},{"id":"doi:10.2514/6.2025-3139","name":"Aeroacoustics of Lift + Cruise eVTOL Configurations During Transition","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2025-3139","authors":["Oliver Westcott","Robert Entwistle","Swathi Krishna","Chaitanya Paruchuri"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-07-16T21:24:43Z","doi":"10.2514/6.2025-3139","addedAt":"2026-08-31T06:39:37.239Z","updatedAt":"2026-08-31T06:39:37.239Z"},{"id":"doi:10.1109/iteceats66641.2026.11592948","name":"Physics-Guided Neural Networks for Real-Time State-of-Power Prediction in eVTOL Batteries","source":"crossref","abstract":"","url":"https://doi.org/10.1109/iteceats66641.2026.11592948","authors":["Mariana Haddadin","Mahesh Krishnamurthy"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-07-14T19:38:29Z","doi":"10.1109/iteceats66641.2026.11592948","addedAt":"2026-08-31T06:39:37.239Z","updatedAt":"2026-08-31T06:39:38.731Z"},{"id":"doi:10.1299/transjsme.24-00256","name":"Research on optimal power source for passenger transport eVTOL","source":"crossref","abstract":"","url":"https://doi.org/10.1299/transjsme.24-00256","authors":["Shigetoshi TOKUOKA","Yoshiki YAMAGATA","Yoshiaki OHKAMI"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-02-06T22:13:00Z","doi":"10.1299/transjsme.24-00256","addedAt":"2026-08-31T06:39:37.239Z","updatedAt":"2026-08-31T06:39:39.325Z"},{"id":"doi:10.4050/jahs.71.032010","name":"Full Flight Regime Controller Design for a Lift+Cruise eVTOL Aircraft","source":"openalex","abstract":"At present, the vast majority of control design work on winged eVTOLs focuses primarily on a specific flight regime, usually hover or cruise. Transition, however, is an equally critical flight regime that requires a combination of both rotorcraft and airplane control effectors to maintain trim and execute maneuvers. Full flight regime trim strategies are examined for a Lift+Cruise eVTOL aircraft. Control laws are designed for hover, transition, and cruise conditions to satisfy standard flying-qualities requirements based on the characteristic behavior of the vehicle (rotorcraft vs. fixed wing) while ensuring realistic motor limits (peak and continuous) are satisfied. CONDUIT ® is used to optimize control laws to minimize actuator activity while meeting flying-qualities constraints. Variable-RPM control is shown to be sufficient to satisfy Level 1 flying-qualities requirements in hover and low-speed flight, where control surfaces have inadequate control authority. Time domain simulations are presented to verify controller performance and ensure actuator limits are not violated while following step commands. The aircraft is able to follow commands well in all axes and flight regimes. Successful simulation of transition through the full flight regime (hover-to-cruise and cruise-to-hover) is achieved using a quasi-linear parameter varying stitched model. It was found that elevator sizing and choice of transition speed are strongly linked, and that either a transition speed very near the cruise speed or a large elevator is warranted.","url":"https://doi.org/10.4050/jahs.71.032010","authors":["Alexander Keller","Farhan Gandhi","Robert Niemiec","Ariel Walter"],"tags":["Trim","Elevator","Airplane","Control theory (sociology)","Actuator"],"confidence":0.72,"sites":["low-altitude"],"publishedDate":"2026-04-08","doi":"10.4050/jahs.71.032010","addedAt":"2026-08-31T06:39:37.239Z","updatedAt":"2026-08-31T14:45:35.251Z"},{"id":"doi:10.4271/2023-01-7092","name":"A Prophase Simulation Study of Fuel Cell-Battery Hybrid System for\n                    eVTOL Aircraft in Steady-State Operation","source":"crossref","abstract":"&lt;div class=\"section abstract\"&gt;&lt;div class=\"htmlview paragraph\"&gt;Electric vertical take-off and landing (eVTOL) is defined as vertical lift aircraft propelled by electric power and capable of carrying people. Based on the system of battery powered CY300 eVTOL, a fuel cell-battery hybrid system (FBHS) in steady-state operation as a potential propulsion system for CY300 eVTOL is proposed. In order to analyze the feasibility of FBHS-powered eVTOL system, a mathematical model is established to evaluate the proposed system performance considering various irreversible effects. Furthermore, considerable sensitivity analyses indicate that the payload of the proposed system is considerably benefited by a higher specific energy of the battery system, specific power of the fuel cell system and hydrogen storage ratio of the hydrogen tank. Hydrogen tank weight decreases the payload while enhances the hovering time. DoH accounts for power balancing between two power sources, and affects the impacts of different design parameters on the performance of the proposed FBHS. In order to achieve a long endurance eVTOL with a cruise time of more than 30 min and a payload rate of more than 30%, the specific energy of the battery system in this proposed FBHS needs to be greater than 500 Wh/kg, and the specific power of the fuel cell system needs to reach more than 1000 W/kg. For hydrogen storage technology selections, high pressure gaseous hydrogen storage technologies are suitable enough for short-range eVTOLs, but liquid hydrogen powered eVTOLs can be an ideal solution for long-endurance aircraft. The results acquired may be helpful in designing and optimizing such an actual power system.&lt;/div&gt;&lt;/div&gt;","url":"https://doi.org/10.4271/2023-01-7092","authors":["Yuan Qin","Xinfeng Zhang","Houcheng Zhang","Wenhao Li","Ye Lin","Han Yue"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-12-30T21:15:40Z","doi":"10.4271/2023-01-7092","addedAt":"2026-08-31T06:39:37.239Z","updatedAt":"2026-08-31T06:39:39.047Z"},{"id":"doi:10.2514/6.2025-3638","name":"Assessment of Operational Reliability for eVTOL Vehicle Design","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2025-3638","authors":["Hajar Mali","Jouwairia Ahabchane","Evan Harrison","Jiacheng Xie","Dimitri Mavris"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-07-16T21:24:43Z","doi":"10.2514/6.2025-3638","addedAt":"2026-08-31T06:39:37.239Z","updatedAt":"2026-08-31T06:39:37.239Z"},{"id":"doi:10.4050/sm_evtol_2025-5355","name":"GE Aerospace: Military Hybrid Electric Systems Overview","source":"crossref","abstract":"GE Aerospace: Military Hybrid Electric Systems Overview","url":"https://doi.org/10.4050/sm_evtol_2025-5355","authors":["Darek Zatorski"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-07-21T15:49:59Z","doi":"10.4050/sm_evtol_2025-5355","addedAt":"2026-08-31T06:39:37.239Z","updatedAt":"2026-08-31T06:39:37.239Z"},{"id":"doi:10.2514/6.2025-1289","name":"eVTOL RPM Controlled Rotor Design Methodology for Analyzing Hover Performance and Frequency Response","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2025-1289","authors":["Riley J. Cox-Gross","Kyle Collins"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-02-12T09:44:16Z","doi":"10.2514/6.2025-1289","addedAt":"2026-08-31T06:39:37.239Z","updatedAt":"2026-08-31T06:39:37.239Z"},{"id":"doi:10.11361/reportscpij.19.2_144","name":"Study on Facility Location Planning for Electric Vertical Takeoff and Landing Aircraft (eVTOL)","source":"crossref","abstract":"","url":"https://doi.org/10.11361/reportscpij.19.2_144","authors":["Daisuke Fujihara","Rikutaro Manabe","Akito Murayama"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2022-06-07T22:17:33Z","doi":"10.11361/reportscpij.19.2_144","addedAt":"2026-08-31T06:39:37.239Z","updatedAt":"2026-08-31T06:39:39.047Z"},{"id":"doi:10.4050/sm_evtol_2025-5340","name":"Joby Aviation - Perspectives on Heliport Operations","source":"crossref","abstract":"Joby Aviation - Perspectives on Heliport Operations","url":"https://doi.org/10.4050/sm_evtol_2025-5340","authors":["Ryan Naru"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-07-21T15:49:59Z","doi":"10.4050/sm_evtol_2025-5340","addedAt":"2026-08-31T06:39:37.239Z","updatedAt":"2026-08-31T06:39:37.239Z"},{"id":"doi:10.4050/sm_evtol_2025-5367","name":"Equitable Access to Advanced Air Mobility","source":"crossref","abstract":"Equitable Access to Advanced Air Mobility","url":"https://doi.org/10.4050/sm_evtol_2025-5367","authors":["Furqan Furqan"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-07-21T15:49:59Z","doi":"10.4050/sm_evtol_2025-5367","addedAt":"2026-08-31T06:39:37.239Z","updatedAt":"2026-08-31T06:39:37.239Z"},{"id":"doi:10.2514/6.2025-3800","name":"Deep Reinforcement Learning for Optimal Takeoff Trajectory Design of an eVTOL Drone","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2025-3800","authors":["Nathan M. Roberts","Xiaosong Du"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-07-16T21:24:43Z","doi":"10.2514/6.2025-3800","addedAt":"2026-08-31T06:39:37.239Z","updatedAt":"2026-08-31T06:39:37.239Z"},{"id":"doi:10.4050/sm_evtol_2025-5366","name":"FAA Vertiport Design Standards","source":"crossref","abstract":"FAA Vertiport Design Standards","url":"https://doi.org/10.4050/sm_evtol_2025-5366","authors":["Robert Bassey"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-07-21T15:49:59Z","doi":"10.4050/sm_evtol_2025-5366","addedAt":"2026-08-31T06:39:37.239Z","updatedAt":"2026-08-31T06:39:37.239Z"},{"id":"doi:10.4050/sm_evtol_2025-5369","name":"Andy Mearns Multicopter Aerospace Consulting","source":"crossref","abstract":"Andy Mearns Multicopter Aerospace Consulting","url":"https://doi.org/10.4050/sm_evtol_2025-5369","authors":["Andy Mearns"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-07-21T15:49:59Z","doi":"10.4050/sm_evtol_2025-5369","addedAt":"2026-08-31T06:39:37.239Z","updatedAt":"2026-08-31T06:39:37.239Z"},{"id":"doi:10.1016/j.coldregions.2026.104949","name":"Propeller ice accretion effects on tandem propeller aerodynamics in eVTOL aircraft mode","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.coldregions.2026.104949","authors":["Ghulam Ishaque","Linhao Li","Junli Wang","Jian Wu"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-04-15T20:27:08Z","doi":"10.1016/j.coldregions.2026.104949","addedAt":"2026-08-31T06:39:37.239Z","updatedAt":"2026-08-31T06:39:38.731Z"},{"id":"doi:10.4050/sm_evtol_2025-5339","name":"Go Aero - Aerial Emergency Response Operations","source":"crossref","abstract":"Go Aero - Aerial Emergency Response Operations","url":"https://doi.org/10.4050/sm_evtol_2025-5339","authors":["Gwen Lighter"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-07-21T15:49:59Z","doi":"10.4050/sm_evtol_2025-5339","addedAt":"2026-08-31T06:39:37.239Z","updatedAt":"2026-08-31T06:39:37.239Z"},{"id":"doi:10.2514/6.2025-1242","name":"Evaluating Ground Effect on eVTOL Propeller Noise","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2025-1242","authors":["Michael Marques Goncalves","Vladimir V. Golubev","Anastasios S. Lyrintzis","Reda R. Mankbadi"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-02-12T09:44:16Z","doi":"10.2514/6.2025-1242","addedAt":"2026-08-31T06:39:37.239Z","updatedAt":"2026-08-31T06:39:37.239Z"},{"id":"doi:10.2514/6.2025-3015","name":"Mid-Fidelity Aerodynamic Analysis and Design of a Fixed-Wing eVTOL for the Martian Atmosphere","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2025-3015","authors":["Christian Bonaventura","Alberto Guardone"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-07-16T21:24:43Z","doi":"10.2514/6.2025-3015","addedAt":"2026-08-31T06:39:37.239Z","updatedAt":"2026-08-31T06:39:37.239Z"},{"id":"doi:10.4050/jahs.66.012009","name":"Hydrogen Fuel Cell and Battery Hybrid Architecture for Range Extension of Electric VTOL (eVTOL) Aircraft","source":"crossref","abstract":"The objective of this paper is to study the impact of combining hydrogen fuel cells with lithium-ion batteries through an ideal power-sharing architecture to mitigate the poor range and endurance of battery powered electric vertical takeoff and landing (eVTOL) aircraft. The benefits of combining the two sources is first illustrated by a conceptual sizing of an electric tiltrotor for an urban air taxi mission of 75 mi cruise and 5 min hover. It is shown that an aircraft of 5000–6000 lb gross weight can carry a practical payload of 500 lb (two to three seats) with present levels of battery specific energy (150 Wh/kg) if only a battery–fuel cell hybrid power plant is used, combined in an ideal power-sharing manner, as long as high burst C-rate batteries are available (4–10 C). A power plant using batteries alone can carry less than half the payload; use of fuel cells alone cannot lift off the ground. Next, the operation of such a system is demonstrated using systematic hardware testing. The concepts of unregulated and regulated power-sharing architectures are described. A regulated architecture that can implement ideal power sharing is built up in a step-by-step manner. It is found only two switches and three DC-to-DC converters are necessary, and if placed appropriately, are sufficient to achieve the desired power flow. Finally, a simple power system model is developed, validated with test data and used to gain fundamental understanding of power sharing.","url":"https://doi.org/10.4050/jahs.66.012009","authors":["Wanyi Ng","Mrinalgouda Patil","Anubhav Datta"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2020-11-10T01:06:16Z","doi":"10.4050/jahs.66.012009","addedAt":"2026-08-31T06:39:37.239Z","updatedAt":"2026-08-31T06:39:39.047Z"},{"id":"doi:10.4050/sm_evtol_2025-5338","name":"NASA Advanced Air Mobility (AAM)Overview","source":"crossref","abstract":"NASA Advanced Air Mobility (AAM)Overview","url":"https://doi.org/10.4050/sm_evtol_2025-5338","authors":["Michael Patterson"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-07-21T15:49:59Z","doi":"10.4050/sm_evtol_2025-5338","addedAt":"2026-08-31T06:39:37.239Z","updatedAt":"2026-08-31T06:39:37.239Z"},{"id":"doi:10.4050/f-0079-2023-18156","name":"Towards an Agile Crew Training Program of a Remotely Piloted eVTOL Aircraft in Context of Flight Test Operation","source":"crossref","abstract":"","url":"https://doi.org/10.4050/f-0079-2023-18156","authors":["Julius Hoffelner","Markus Maly","Kevin Schmiechen","Jacquelyn Banas","Florian Holzapfel"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-06-23T15:45:20Z","doi":"10.4050/f-0079-2023-18156","addedAt":"2026-08-31T06:39:37.239Z","updatedAt":"2026-08-31T06:39:39.047Z"},{"id":"doi:10.4050/sm_evtol_2025-5350","name":"Apex View: Leveraging Government Innovation Programs","source":"crossref","abstract":"Apex View: Leveraging Government Innovation Programs","url":"https://doi.org/10.4050/sm_evtol_2025-5350","authors":["Tom Perkowski"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-07-21T15:49:59Z","doi":"10.4050/sm_evtol_2025-5350","addedAt":"2026-08-31T06:39:37.239Z","updatedAt":"2026-08-31T06:39:37.239Z"},{"id":"doi:10.4050/sm_evtol_2025-5364","name":"Joby Aviation: Thoughts on Pilot Qualification Post-SFAR","source":"crossref","abstract":"Joby Aviation: Thoughts on Pilot Qualification Post-SFAR","url":"https://doi.org/10.4050/sm_evtol_2025-5364","authors":["Ryan Naru"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-07-21T15:49:59Z","doi":"10.4050/sm_evtol_2025-5364","addedAt":"2026-08-31T06:39:37.239Z","updatedAt":"2026-08-31T06:39:37.239Z"},{"id":"doi:10.2514/6.2025-0525","name":"Trajectory Generation and Control Considering Envelope Constraints for a Fixed-Wing eVTOL","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2025-0525","authors":["Denis Surmann","Niklas Knappe","Stephan Myschik"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-02-12T09:44:16Z","doi":"10.2514/6.2025-0525","addedAt":"2026-08-31T06:39:37.239Z","updatedAt":"2026-08-31T06:39:37.239Z"},{"id":"doi:10.1016/j.ast.2026.112981","name":"System-level assessment of propeller icing effects on propeller-wing interactions in eVTOL aircraft","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.ast.2026.112981","authors":["Ghulam Ishaque","Liangzhi Jiang","Linhao Li","Jian Wu"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-06-24T23:55:49Z","doi":"10.1016/j.ast.2026.112981","addedAt":"2026-08-31T06:39:37.239Z","updatedAt":"2026-08-31T06:39:38.731Z"},{"id":"doi:10.4050/sm_evtol_2025-5349","name":"Honeywell: Regulatory Readiness Level (RRL)","source":"crossref","abstract":"Honeywell: Regulatory Readiness Level (RRL)","url":"https://doi.org/10.4050/sm_evtol_2025-5349","authors":["Dan Newman","Pulkit Agrawal"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-07-21T15:49:59Z","doi":"10.4050/sm_evtol_2025-5349","addedAt":"2026-08-31T06:39:37.239Z","updatedAt":"2026-08-31T06:39:37.239Z"},{"id":"doi:10.35546/kntu2078-4481.2025.1.2.20","name":"АНАЛІЗ ПРАВИЛ ЕКСПЛУАТАЦІЇ EVTOL","source":"crossref","abstract":"У статті досліджено технологічні та інфраструктурні аспекти електричних вертикально злітаючих і посадочних літальних апаратів (eVTOL), які є одним із ключових елементів розвитку міської повітряної мобільності. Акцент зроблено на аналізі основних технологічних викликів, таких як автономне управління, ефективність силових установок, розвиток акумуляторних технологій та підвищення аеродинамічних характеристик.Особлива увага приділена інфраструктурним вимогам, включаючи створення вертопортів, інтеграцію eVTOL у транспортні вузли, розбудову мереж зарядних станцій та розвиток систем комунікації для забезпечення безпечної експлуатації. Оцінюється вплив новітніх матеріалів та енергетичних технологій на експлуатаційну ефективність eVTOL, а також використання цифрових двійників та штучного інтелекту для покращення управління повітряним рухом.Досліджуються взаємозв’язки між інноваціями у силових установках, конструкційних рішеннях та оптимізацією міського повітряного простору. Розглядаються екологічні аспекти впровадження eVTOL, зокрема рівень шуму, енергоефективність та вплив акумуляторних технологій на довкілля.Оцінено потенційні сценарії інтеграції eVTOL у міську транспортну мережу та перспективи їхньої експлуатації в умовах зростаючого попиту на альтернативні повітряні перевезення. Результати дослідження пропонують рекомендації щодо розвитку технологічних стандартів та вдосконалення інфраструктури, що сприятиме прискоренню впровадження eVTOL у сучасні міста, підвищенню безпеки та надійності експлуатації та мінімізації технологічних та операційних ризиків.","url":"https://doi.org/10.35546/kntu2078-4481.2025.1.2.20","authors":["М. Д. МИРНЕНКО"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-05-09T07:29:04Z","doi":"10.35546/kntu2078-4481.2025.1.2.20","addedAt":"2026-08-31T06:39:37.239Z","updatedAt":"2026-08-31T06:39:39.325Z"},{"id":"doi:10.1016/j.paerosci.2026.101184","name":"Recent advancements and challenges for eVTOL aircraft aerodynamic noise in Urban Air Mobility","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.paerosci.2026.101184","authors":["Changsheng Zhao","Yannian Yang","Zhiyong Cheng","Tongzhen Zhang","Yu Liu"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-02-22T19:59:29Z","doi":"10.1016/j.paerosci.2026.101184","addedAt":"2026-08-31T06:39:37.239Z","updatedAt":"2026-08-31T06:39:52.483Z"},{"id":"doi:10.2514/6.2025-2699","name":"Impact of Failure on the Tilt-Wing eVTOL Backward Transition","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2025-2699","authors":["Marc S. May","Daniel Milz","Sophie F. Armanini","Gertjan Looye"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-02-12T10:03:43Z","doi":"10.2514/6.2025-2699","addedAt":"2026-08-31T06:39:37.239Z","updatedAt":"2026-08-31T14:45:35.251Z"},{"id":"doi:10.2514/6.2025-3002","name":"Multi-Fidelity Assessment of eVTOL Propeller Noise in Ground-Effect Conditions","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2025-3002","authors":["Michael Marques","Vladimir V. Golubev","Anastasios S. Lyrintzis"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-07-16T21:24:43Z","doi":"10.2514/6.2025-3002","addedAt":"2026-08-31T06:39:37.239Z","updatedAt":"2026-08-31T06:39:37.239Z"},{"id":"doi:10.4050/sm_evtol_2025-5361","name":"Toray: Composite Technology for Interiors and Battery Structures","source":"crossref","abstract":"Toray: Composite Technology for Interiors and Battery Structures","url":"https://doi.org/10.4050/sm_evtol_2025-5361","authors":["DeWayne Howell"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-07-21T15:49:59Z","doi":"10.4050/sm_evtol_2025-5361","addedAt":"2026-08-31T06:39:37.239Z","updatedAt":"2026-08-31T06:39:37.239Z"},{"id":"doi:10.2514/6.2025-3087","name":"Revolutionizing eVTOL Design: Hidden Ducted Fan Propulsion for Urban Air Mobility","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2025-3087","authors":["Mohammed Alabdali","Guilherme Fernandes","Victor Maldonado"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-07-16T21:24:43Z","doi":"10.2514/6.2025-3087","addedAt":"2026-08-31T06:39:37.239Z","updatedAt":"2026-08-31T14:45:35.252Z"},{"id":"doi:10.4050/sm_evtol_2025-5368","name":"Transcend Air: Time Flies With Us","source":"crossref","abstract":"Transcend Air: Time Flies With Us","url":"https://doi.org/10.4050/sm_evtol_2025-5368","authors":["Peter Schmidt"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-07-21T15:49:59Z","doi":"10.4050/sm_evtol_2025-5368","addedAt":"2026-08-31T06:39:37.239Z","updatedAt":"2026-08-31T14:45:35.252Z"},{"id":"doi:10.2514/6.2025-0898","name":"Structural Dynamics of an EVTOL Support Arm System With Composite Cross-Braced Struts and Rotor Shaft-Bearing Stiffness","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2025-0898","authors":["Siddharth Poreddy","Ksenia Kirsanova"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-02-12T09:44:16Z","doi":"10.2514/6.2025-0898","addedAt":"2026-08-31T06:39:37.239Z","updatedAt":"2026-08-31T14:45:35.252Z"},{"id":"doi:10.2514/6.2025-3570","name":"Design and Thermal Modeling of a Semi-Passive, Low Power Ice Protection System for eVTOL","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2025-3570","authors":["Nathan Alvarado","Robert Kircheis","Jose Palacios"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-07-16T21:24:43Z","doi":"10.2514/6.2025-3570","addedAt":"2026-08-31T06:39:37.239Z","updatedAt":"2026-08-31T14:45:35.252Z"},{"id":"doi:10.4050/f-0079-2023-18000","name":"Design of a Lift+Cruise eVTOL Aircraft reflecting the Geometry and Structural Details regarding Battery Locations","source":"crossref","abstract":"","url":"https://doi.org/10.4050/f-0079-2023-18000","authors":["WonSeok Cha","SunHoo Park","MinHo Hwang","YooHo Chang","ChiHyun Ahn","SangJoon Shin"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-06-28T16:06:28Z","doi":"10.4050/f-0079-2023-18000","addedAt":"2026-08-31T06:39:37.239Z","updatedAt":"2026-08-31T06:39:39.047Z"},{"id":"doi:10.1016/j.procir.2020.01.060","name":"Life Cycle Engineering of future aircraft systems: the case of eVTOL vehicles","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.procir.2020.01.060","authors":["Sofia Pinheiro Melo","Felipe Cerdas","Alexander Barke","Christian Thies","Thomas S. Spengler","Christoph Herrmann"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2020-08-06T19:11:25Z","doi":"10.1016/j.procir.2020.01.060","addedAt":"2026-08-31T06:39:37.239Z","updatedAt":"2026-08-31T06:39:39.047Z"},{"id":"doi:10.4050/f-0076-2020-16384","name":"System Identification and Handling Qualities Predictions of an eVTOL Urban Air Mobility Aircraft Using Modern Flight Control Methods","source":"crossref","abstract":"Modern system identification techniques were used to identify a linear model based on a nonlinear simulation of a concept Urban Air Mobility quadcopter, and compared to a perturbation-based model. These models were used to develop feedback controllers for both variable-pitch and variable-RPM variants of the quadcopter, with the handling qualities requirements determining current requirements for the electric motors. To have sufficient stability margins and bandwidth, the motor time constant for the variable-RPM system must be no greater than 0.122s. Both variable- RPM and variable-pitch systems were limited by the yaw axis, which relies on differential motor torque for control. The introduction of rotor cant alleviated this problem for the variable-pitch vehicle, allowing a 47% reduction in motor weight, relative to the uncanted variable-pitch system.","url":"https://doi.org/10.4050/f-0076-2020-16384","authors":["Robert Niemiec","Mark J.","Farhan Gandhi","Mark Tischler"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-07-10T21:31:26Z","doi":"10.4050/f-0076-2020-16384","addedAt":"2026-08-31T06:39:37.239Z","updatedAt":"2026-08-31T06:39:39.047Z"},{"id":"doi:10.4050/sm_evtol_2025-5344","name":"Near Earth Autonomy - Uncrewed Helicopters for Contested Logistics","source":"crossref","abstract":"Near Earth Autonomy - Uncrewed Helicopters for Contested Logistics","url":"https://doi.org/10.4050/sm_evtol_2025-5344","authors":["Lyle Chamberlain"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-07-21T15:49:59Z","doi":"10.4050/sm_evtol_2025-5344","addedAt":"2026-08-31T06:39:37.239Z","updatedAt":"2026-08-31T14:45:35.252Z"},{"id":"doi:10.2514/6.2022-3539","name":"A Survey of eVTOL Aircraft and AAM Operation Hazards","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2022-3539","authors":["Ellis L. Thompson","Abenezer G. Taye","Wei Guo","Peng Wei","Marcos Quinones","Ibrahim Ahmed","Gautam Biswas","Jesse Quattrociocchi","Steven Carr","Ufuk Topcu","James C. Jones","Marc W. Brittain"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2022-06-21T03:07:36Z","doi":"10.2514/6.2022-3539","addedAt":"2026-08-31T06:39:37.239Z","updatedAt":"2026-08-31T06:39:39.047Z"},{"id":"doi:10.1109/ecce58356.2025.11260415","name":"Aerodynamically Driven Model-Based Approach to eVTOL Motor Design","source":"crossref","abstract":"","url":"https://doi.org/10.1109/ecce58356.2025.11260415","authors":["Francesco Tripaldi","Nicola Bianchi"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-12-03T18:38:34Z","doi":"10.1109/ecce58356.2025.11260415","addedAt":"2026-08-31T06:39:37.239Z","updatedAt":"2026-08-31T06:39:37.239Z"},{"id":"doi:10.1007/978-981-19-6613-2_74","name":"Multi-resolution Trajectory Optimization of eVTOL Aircraft Using Capacity Collocation","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-981-19-6613-2_74","authors":["Mingkai Wang","Shuguang Zhang","Florian Holzapfel"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-02-11T04:00:06Z","doi":"10.1007/978-981-19-6613-2_74","addedAt":"2026-08-31T06:39:37.239Z","updatedAt":"2026-08-31T06:39:39.047Z"},{"id":"doi:10.2514/6.2026-3286","name":"Noise Characteristics of a Tilted Forward and Fixed Aft Propeller on a 1/10th Scale Half-Model eVTOL Aircraft","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2026-3286","authors":["Sung Tyaek Go","Zilei Yi","Andrea Colli","Djamel Rezgui","Mahdi Azarpeyvand","Craig Mead","Henrique Raposo","Liam Hanson"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-05-20T18:06:58Z","doi":"10.2514/6.2026-3286","addedAt":"2026-08-31T06:39:37.239Z","updatedAt":"2026-08-31T06:39:38.731Z"},{"id":"doi:10.4050/f-0079-2023-18052","name":"Rotor Cross-Tilt Optimization of Manned Multi-rotor eVTOL Aircraft for Yaw Control Efficiency","source":"openalex","abstract":"This paper proposed a rotor cross-tilt optimization method of manned multi-rotor eVTOL aircraft for yaw control efficiency improvement. Firstly, the flight dynamics model of a 500kg low-altitude manned multi-rotor eVTOL aircraft is established, and the accuracy of the model is verified by single arm test platform and flight test data. Then, a rotor cross-tilt optimization method which simultaneously completes the trim and optimization calculation, is designed to maximize the overall control efficiency under different loads, forward flight speeds and rotor mounting angle errors. The manipulation derivative is applied to analyze the influence of the optimal rotor tilt angle on the control efficiency of each control channel. Finally, the feasibility of the optimization method is verified by comparing the ground(3DOF test platform) and flight test data of the prototype before and after optimization. Results show that the control efficiency of yaw channel is improved while the control efficiency of other control channels are basically maintained, so as to achieve the overall optimal control performance. In addition, the endurance time of the prototype is also improved, and the greater the load, the more obvious the improvement.","url":"https://doi.org/10.4050/f-0079-2023-18052","authors":["Xufei Yan","Jiandong Cai","Bin Lou","Yiren Hu","Anhuan Xie","Shiqiang Zhu","Libo Cheng","Xiaobo Wang"],"tags":["Rotor (electric)","Tilt (camera)","Control theory (sociology)","Flight test","Attitude control"],"confidence":0.72,"sites":["low-altitude"],"publishedDate":"2023-05-16","doi":"10.4050/f-0079-2023-18052","addedAt":"2026-08-31T06:39:37.239Z","updatedAt":"2026-08-31T14:45:35.251Z"},{"id":"doi:10.4050/jahs.67.032012","name":"Flight Dynamics and Control of an eVTOL Concept Aircraft with a Propeller-Driven Rotor","source":"crossref","abstract":"The objective of this investigation is threefold. First, to assess the flight dynamics of an electric vertical take-off and landing (eVTOL) concept aircraft with a propeller-driven rotor. Second, to develop an automatic flight control system (AFCS) for this concept aircraft. Third, to verify the potential safety benefits of the concept aircraft by analyzing the autorotation performance following a total loss of power. The paper begins with an overview of the design of the aircraft and description of the simulation model, including a detailed discussion on the inflow model of the propellers that drive the main rotor. Next, the flight dynamics are assessed at hover and in forward flight. An AFCS based on dynamic inversion is developed to provide stability and desired response characteristics about the roll, pitch, yaw, and heave axes for speeds ranging from hover to 80 kt. Additionally, an RPM governor is implemented to hold the main rotor angular speed constant at its nominal value. Finally, simulations that make use of the AFCS are performed to analyze the autorotation performance following total loss of power.","url":"https://doi.org/10.4050/jahs.67.032012","authors":["Umberto Saetti","Jacob Enciu","Joseph F. Horn"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2022-03-18T01:05:17Z","doi":"10.4050/jahs.67.032012","addedAt":"2026-08-31T06:39:37.239Z","updatedAt":"2026-08-31T06:39:39.047Z"},{"id":"doi:10.4050/jahs.67.012006","name":"A CFD-Based Examination of Rotor-Rotor Separation Effects on Interactional Aerodynamics for eVTOL Aircraft","source":"crossref","abstract":"This study systematically investigates the aerodynamic interactions of a two-rotor system with a front rotor and an aft rotor aligned with the direction of flow. The rotors are 5.5 ftdiameter fixed-pitch rotors operating at approximately 12 lb/ft 2 disk loading, representative of large eVTOL aircraft. Fluid flow is simulated using the commercial Navier–Stokes solver, AcuSolve, with a detached eddy simulation (DES) model. Simulations were performed nominally at 40 kt edgewise flight for nine cases corresponding to three values of longitudinal hub–hub separation (2.5 R , 3 R , 3.5 R ) and three values of vertical offset (0, 0.25 R, 0.5 R ). Aft rotor performance was compared to an isolated rotor operating in the same conditions in order to quantify the effects of rotor–rotor interaction. For the cases where the aft rotor is closest to the front rotor (2.5 R longitudinal offset, zero vertical offset), the aft rotor produced 8.4% less thrust and required 13.4% higher torque than a rotor in isolation. When vertical rotor separation was increased, interactional aerodynamic effects decreased. For a 2.5 R longitudinal offset, increasing the vertical offset to 0.5 R decreased the lift deficit to 4.6% and the torque penalty to 6.8%. Increasing the longitudinal offset to 3.5 R (while keeping the vertical offset at zero) also reduced interactional aerodynamic effects, but reductions in lift deficit and torque penalty were smaller than those observed with 0.5 R vertical offset. Reducing disk loading was found to strengthen interactional aerodynamic effects, with an 11.5% thrust deficit at 6 lb/ft 2 compared to 9.0% at 12 lb/ft 2 . An increase in flight speed also increased interactional aerodynamic penalties from 5.4% thrust deficit at 20 kt to 12.2% at 60 kt. The increased interactional aerodynamic penalties with the reduction in disk loading and increase in flight speed were both attributed to an increase in wake skew angle and the resulting decrease in separation between the aft rotor disk and front rotor wake.","url":"https://doi.org/10.4050/jahs.67.012006","authors":["Richard Healy","Matthew Misiorowski","Farhan Gandhi"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2021-09-01T01:05:11Z","doi":"10.4050/jahs.67.012006","addedAt":"2026-08-31T06:39:37.239Z","updatedAt":"2026-08-31T06:39:39.047Z"},{"id":"doi:10.1109/tpel.2025.3634566","name":"Challenges and Opportunities in Electric Propulsion Systems for Low-Altitude eVTOL Aircraft","source":"crossref","abstract":"","url":"https://doi.org/10.1109/tpel.2025.3634566","authors":["Litao Dai","Shuangxia Niu","Zekai Lyu","Xiaohui Huang","K. T. Chau"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-11-19T18:46:54Z","doi":"10.1109/tpel.2025.3634566","addedAt":"2026-08-31T06:39:37.239Z","updatedAt":"2026-08-31T06:39:39.468Z"},{"id":"doi:10.5139/jksas.2025.53.3.239","name":"Comprehensive Modeling of Electric Propulsion System for High-fidelity eVTOL-AAM Flight Simulation","source":"crossref","abstract":"","url":"https://doi.org/10.5139/jksas.2025.53.3.239","authors":["LV Thang Nguyen","Donggyu Seong","Irfan Alam Mohammad","Maxim Tyan","Jae-Woo Lee"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-03-09T21:20:46Z","doi":"10.5139/jksas.2025.53.3.239","addedAt":"2026-08-31T06:39:37.239Z","updatedAt":"2026-08-31T06:39:39.325Z"},{"id":"doi:10.4050/sm_evtol_2025-5363","name":"Bloomy: HIL/SIL Verification and Validation Testing","source":"crossref","abstract":"Bloomy: HIL/SIL Verification and Validation Testing","url":"https://doi.org/10.4050/sm_evtol_2025-5363","authors":["Peter Blume"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-07-21T15:49:59Z","doi":"10.4050/sm_evtol_2025-5363","addedAt":"2026-08-31T06:39:37.239Z","updatedAt":"2026-08-31T14:45:35.252Z"},{"id":"doi:10.2514/6.2025-3300","name":"Icing Performance Degradation of an eVTOL Propeller at the NASA Glenn Icing Research Tunnel","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2025-3300","authors":["Paul H. Von Hardenberg","Curtis A. Flack"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-07-16T21:24:43Z","doi":"10.2514/6.2025-3300","addedAt":"2026-08-31T06:39:37.239Z","updatedAt":"2026-08-31T14:45:35.252Z"},{"id":"doi:10.4050/f-0078-2022-17549","name":"Towards Handling Qualities and Automation Assessment for Certification of eVTOL Aircraft","source":"crossref","abstract":"","url":"https://doi.org/10.4050/f-0078-2022-17549","authors":["David Klyde","Martin Schubert","David Mitchell","Ross Schaller","Michael Feary","Rick Simmons","Michael Jones","David Sizoo","David Webber","Johannes VanHoudt"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2022-09-15T16:01:29Z","doi":"10.4050/f-0078-2022-17549","addedAt":"2026-08-31T06:39:37.239Z","updatedAt":"2026-08-31T06:39:39.047Z"},{"id":"doi:10.2514/1.g007109","name":"Maneuverability Set Estimation and Trajectory Feasibility Evaluation for eVTOL Aircraft","source":"crossref","abstract":"","url":"https://doi.org/10.2514/1.g007109","authors":["Zhidong Lu","Haichao Hong","Johannes Diepolder","Florian Holzapfel"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-03-17T20:50:16Z","doi":"10.2514/1.g007109","addedAt":"2026-08-31T06:39:37.239Z","updatedAt":"2026-08-31T06:39:39.047Z"},{"id":"doi:10.51583/ijltemas.2025.1410000049","name":"Design and Development of a Radio-Controlled Aircraft and Concept of Electric Vertical Takeoff and Landing (eVTOL)","source":"crossref","abstract":"(eVTOL) capabilities. The primary objective is to explore the feasibility of incorporating VTOL functionality into a lightweight RC platform using accessible, low cost materials and components. The aircraft is constructed using foam board for its favorable weight to strength ratio and employs a straightforward elevon- based control mechanism for pitch and roll modulation. A brushless DC motor, electronic speed controller (ESC), and Li-Po battery constitute the propulsion system, while an Arduino Nano and IMU (MPU6050) support the eVTOL’s stability and control. The system is manually operated via a Flysky FS-i6 transmitter and receiver. The prototype demonstrated stable flight in fixed wing mode and basic lift-off and hover capabilities in VTOL mode; however, it encountered instability during mode transitions due to limitations in PID control tuning and power demands. The outcomes suggest that hybrid flight systems are achievable on a small scale, albeit with significant challenges in stability control and energy efficiency. This work lays a foundation for future investigations into hybrid UAV platforms and low-cost autonomous aerial mobility solutions.","url":"https://doi.org/10.51583/ijltemas.2025.1410000049","authors":["Gutti Siva Kumar.","Jethwa Krushik Girish.","Mr. Mayur Chavda.","Ms. Apexa Purohit.","Dr. Anil M. Bisen.","Dr. Mayank Dev Singh.","Dr. Jai Bahadur Balwanshi"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-11-08T13:30:56Z","doi":"10.51583/ijltemas.2025.1410000049","addedAt":"2026-08-31T06:39:37.239Z","updatedAt":"2026-08-31T06:39:39.468Z"},{"id":"doi:10.5139/jksas.2022.50.9.599","name":"Computational Simulation of Coaxial eVTOL Aircraft in Ground Effect","source":"crossref","abstract":"","url":"https://doi.org/10.5139/jksas.2022.50.9.599","authors":["Jin-Yong Yang","Hyeok-Jin Lee","Rho-Shin Myong","Hakjin Lee"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2022-09-07T04:46:21Z","doi":"10.5139/jksas.2022.50.9.599","addedAt":"2026-08-31T06:39:37.239Z","updatedAt":"2026-08-31T06:39:39.047Z"},{"id":"doi:10.21203/rs.3.rs-7420467/v1","name":"Application of Low-Fidelity Methods to Evtol Propeller Icing and Performance Degradation","source":"crossref","abstract":"Abstract The performance of electric vertical takeoff and landing (eVTOL) vehicles can be significantly degraded by ice accretion on propeller blades during flight through supercooled clouds. While high-fidelity icing tools are available, their computational cost limits rapid design-space exploration. This study presents a low-fidelity, modular framework that couples blade element momentum theory (BEMT) with two-dimensional icing models to predict both ice accretion and performance degradation. Experimental data from NASA Glenn's Icing Research Tunnel for 28-inch and 36-inch diameter carbon fiber propellers serve as validation for the methodology. Ice shapes for both rime and glaze conditions are simulated using single- and multi-step approaches with LEWICE and GTICE2D. Comparisons with tunnel data demonstrate that the approach captures reasonably well the trends in impingement limits, ice thickness, and collection efficiency, while preserving computational efficiency. The results highlight the utility of low-fidelity tools for assessing the effects of icing in early-stage design and operational analysis of eVTOL propulsion systems.","url":"https://doi.org/10.21203/rs.3.rs-7420467/v1","authors":["Aishwerya Singh Gahlot","Paul H. von Hardenberg","Lakshmi N. Sankar"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-10-17T03:13:40Z","doi":"10.21203/rs.3.rs-7420467/v1","addedAt":"2026-08-31T06:39:37.239Z","updatedAt":"2026-08-31T06:39:38.731Z"},{"id":"doi:10.2139/ssrn.5723409","name":"eVTOL Vertiport Siting and Sizing for Urban Air Mobility Integrated with Power Systems","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.5723409","authors":["Yitang Li","Hongxun Hui","Shaohua Yang","Alexis Pengfei Zhao"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-11-08T22:47:30Z","doi":"10.2139/ssrn.5723409","addedAt":"2026-08-31T06:39:37.239Z","updatedAt":"2026-08-31T06:39:57.284Z"},{"id":"doi:10.5139/jksas.2022.50.12.819","name":"Battery Sensitivity Analysis on Initial Sizing of eVTOL Aircraft","source":"openalex","abstract":"본 연구는 일반적인 쿼드 틸트 로터 타입의 전기 추진 수직이착륙 항공기에 대하여 배터리의 성능에 따른 기체 사이징의 민감도를 분석하였다. Uber Elevate와 NASA가 제시한 임무 요구도를 기반으로 초기 기체 사이징을 수행하였으며, 200Wh/㎏~400Wh/㎏의 배터리 팩 기준 비에너지와 4C~5C의 연속 방전율 범위에 대하여 항공기의 총 중량은 5,000lb~11,000lb으로 예측되었다. 기체 총 중량을 7,000lb를 가정 시가용 출력과 가용 에너지 측면에서 각각 요구되는 배터리 사양을 도출하였으며, 배터리 비에너지와 방전율의 영향을 분석하였다. 배터리 팩 고장 및 프롭 로터 고장과 같은 조건을 고려하여 배터리 최대 방전율 또한 제시하였다.","url":"https://doi.org/10.5139/jksas.2022.50.12.819","authors":["Minjun Park","Jou-Young Jason Choi","Se-Hwan Park"],"tags":["Sizing","Battery (electricity)","Sensitivity (control systems)","Aeronautics","Automotive engineering"],"confidence":0.72,"sites":["low-altitude"],"publishedDate":"2022-12-01","doi":"10.5139/jksas.2022.50.12.819","addedAt":"2026-08-31T06:39:37.239Z","updatedAt":"2026-08-31T14:45:35.251Z"},{"id":"doi:10.47297/taposatwsp2633-456919.20250604","name":"A review of the design of multifunctional light load evtol mechanical structures","source":"crossref","abstract":"","url":"https://doi.org/10.47297/taposatwsp2633-456919.20250604","authors":["Qiang Li"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-07-28T06:31:52Z","doi":"10.47297/taposatwsp2633-456919.20250604","addedAt":"2026-08-31T06:39:37.239Z","updatedAt":"2026-08-31T06:39:38.731Z"},{"id":"doi:10.3390/aerospace10010054","name":"Rapid Blade Shape Optimization for Contra-Rotating Propellers for eVTOL Aircraft Considering the Aerodynamic Interference","source":"crossref","abstract":"The rising interest in the evolvability of electric vertical takeoff and landing (eVTOL) promises substantial potential in the field of urban air mobility (UAM). Challenges in energy storage density and geometry restriction both emphasize the propeller efficiency for endurance and takeoff weight, whereas the contra-rotating propellers (CRP) advantage is balancing high thrust and efficiency over a single propeller. The aim of this paper is twofold: (i) to present a novel rapid CRP blade shape optimization framework and (ii) to study the impact of the dual propellers revolution speed allocations on the overall CRP power efficiency. The core of the framework is the blade element momentum theory (BEMT)-based blade shape optimization considering the wake effect of the upper propeller by the rotational CFD (computational fluid dynamics) actuator-disc simulation method. The results show that for the same thrust, the optimized CRP at the equal revolution speed is superior to the original (upper-lower-identical) one by 5.9% in thrust-to-power ratio. The overall efficiency can be additionally lifted by 5.3% when the dual propellers share similar torques. By excluding the integral propeller CFD simulation and empirical parameters estimation, the framework enables the swift obtaining of an optimized CRP scheme while maintaining robustness as well.","url":"https://doi.org/10.3390/aerospace10010054","authors":["Nanxuan Qiao","Tielin Ma","Jingcheng Fu","Ligang Zhang","Xiangsheng Wang","Pu Xue"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-01-05T03:36:05Z","doi":"10.3390/aerospace10010054","addedAt":"2026-08-31T06:39:37.239Z","updatedAt":"2026-08-31T06:39:39.047Z"},{"id":"doi:10.4050/f-0081-2025-0124","name":"eVTOL Vehicle-Agnostic Instrument Flight Procedures Test Plan","source":"crossref","abstract":"NASA Airspace Operations and Safety Program is researching the utility of electric vertical takeoff and land (eVTOL) advanced air mobility (AAM) instrument flight procedures. The result will be dynamic and tailored procedures that align to the following modus operandi: maximize safety, optimize efficiency, support passenger comfort and minimize acoustics. This is achieved through dynamic airspace procedure design, which is a modular approach to create an airspace construct that customizes procedures to vehicle design and configuration, operation, and environmental conditions. The test plan supports different eVTOL platforms and envisioned operations for flight test or simulation and may be leveraged by AAM aircraft manufacturers and operators for any given aircraft, location and operation. This white paper is a reduced subset of the flight test plan; the full publication can be found on the NASA Technical Research Server (NTRS), https://ntrs.nasa.gov/citations/20240002788.","url":"https://doi.org/10.4050/f-0081-2025-0124","authors":["David Zahn","Sarah Eggum","Andrew Guion"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-04-10T16:56:52Z","doi":"10.4050/f-0081-2025-0124","addedAt":"2026-08-31T06:39:37.239Z","updatedAt":"2026-08-31T06:39:37.239Z"},{"id":"doi:10.21203/rs.3.rs-10532667/v1","name":"Developing A Network-Based Framework for Urban Air Mobility and eVTOL Route Planning Using Existing Heliport Infrastructure","source":"europepmc","abstract":"Abstract Urban Air Mobility (UAM) using electric Vertical Take-Off and Landing (eVTOL) aircraft offers a potential alternative for improving mobility in congested metropolitan areas. However, its implementation requires route-planning methods that integrate available aviation infrastructure, airspace constraints, and operational safety requirements. This study proposes a network-based framework for UAM and eVTOL route planning using existing heliports and helipads as candidate vertiport nodes. The framework comprises five stages: existing heliport inventory, candidate vertiport identification, UAM network development, aviation operational assessment, and operational safety validation. The framework was applied to the Jakarta Metropolitan Area using 56 existing heliports and helipads as the initial infrastructure database. Proposed routes were assessed against controlled airspace, airport obstacle limitation surfaces, published departure and arrival procedures, visual flight routes, restricted areas, terrain and building obstacles, and communication requirements. Operational safety validation was subsequently conducted with AirNav Indonesia through hazard identification, safety risk assessment, mitigation planning, and residual risk evaluation. The assessment identified initial operational risk ratings ranging from 2C to 3D, particularly for routes interacting with controlled airspace, airport operational areas, and existing flight procedures. Following the implementation of route, altitude, coordination, and procedural mitigation measures, the residual risks were reduced to acceptable or tolerable levels ranging from 1C to 2E. The proposed framework demonstrates how existing heliport infrastructure can support the preliminary development of an aviation-constrained UAM network while providing a systematic basis for future eVTOL planning and operational assessment.","url":"https://doi.org/10.21203/rs.3.rs-10532667/v1","authors":["Devie Anggraeni Hadi","Mohammed Ali Berawi","Bambang Susantono"],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.21203/rs.3.rs-10532667/v1","addedAt":"2026-08-31T06:39:37.251Z","updatedAt":"2026-08-31T06:39:56.012Z"},{"id":"doi:10.3390/nano13131899","name":"Hard Magnetic Properties and the Features of Nanostructure of High-Temperature Sm-Co-Fe-Cu-Zr Magnet with Abnormal Temperature Dependence of Coercivity.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/nano13131899","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2023","doi":"10.3390/nano13131899","addedAt":"2026-08-31T06:39:37.251Z","updatedAt":"2026-08-31T06:39:39.326Z"},{"id":"doi:10.48550/arxiv.2608.27909","name":"Low-Altitude Fluid Antenna Network with Multi-Agent Reinforcement Learning","source":"datacite","abstract":"Low-altitude wireless networks (LAWNs) integrate terrestrial and aerial platforms to provide ubiquitous communication, sensing, and localization services for unmanned aerial vehicles (UAVs) and electric vertical takeoff and landing (eVTOL) aircraft. However, dynamic air-ground and air-air channels, abrupt blockages, and heterogeneous interference hinder the realization of this goal. Nevertheless, fluid antenna (FA), a cutting-edge multiple-input multiple-output (MIMO) technique, overcomes these challenges by reconfiguring antenna positions to unlock additional spatial degrees-of-freedom. In this paper, towards bringing low-altitude FA networks into reality, we study the fast and high-performance FA reconfiguration for low-altitude FA networks with multi-agent reinforcement learning (MARL). Specifically, we present an electromagnetic digital twin (EM-DT)-assisted MARL framework. To fill the sim-to-real gap, we introduce a two-stage transfer learning framework. Our case study shows that joint FA positions and beamforming optimization can enhance the system sum-rate by 118.5%, compared to the fixed position baseline. This gain comes from the dynamic millisecond timescale reconfiguration of FA arrays and the adaptive steering of beams toward aerial users with mobility.","url":"https://doi.org/10.48550/arxiv.2608.27909","authors":["Zhang, Tong","Su, Yanfei","Wang, Shuai","Ni, Wanli","Xu, Chengzhong","Arslan, Huseyin"],"tags":["Information Theory (cs.IT)","Artificial Intelligence (cs.AI)","FOS: Computer and information sciences"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.48550/arxiv.2608.27909","addedAt":"2026-08-31T06:39:37.251Z","updatedAt":"2026-08-31T06:39:37.251Z"},{"id":"doi:10.48550/arxiv.2412.18078","name":"Future Pathways for eVTOLs: A Design Optimization Perspective","source":"datacite","abstract":"The rapid development of advanced urban air mobility, particularly electric vertical take-off and landing (eVTOL) aircraft, requires interdisciplinary approaches involving the future urban air mobility ecosystem. Operational cost efficiency, regulatory aspects, sustainability, and environmental compatibility should be incorporated directly into the conceptual design of aircraft and across operational and regulatory strategies. In this work, we apply a multidisciplinary design optimization framework for the conceptual design of eVTOL aircraft. The framework optimizes conventional design elements of eVTOL aircraft over a generic mission and integrates operational cost and an energy and battery-based emissions model to capture sustainability incentives of the designed system. We introduce a novel metric, the cross-transportation Figure of Merit (FoM), to compare the optimized eVTOL system with various competing road, rail, and air transportation modes in terms of sustainability, cost, and travel time. The framework incorporates regulatory, technical, and operational constraints to evaluate four distinct stakeholder-centric configurations: profit-maximizing, cost-minimizing, environmental impact-minimizing, and FoM-optimized designs. The results highlight the importance of integrating multiple operational disciplines into the design process, while underscoring the differing priorities of operators, regulators, and society.","url":"https://doi.org/10.48550/arxiv.2412.18078","authors":["Janning, Johannes","Armanini, Sophie F.","Fasel, Urban"],"tags":["Systems and Control (eess.SY)","FOS: Electrical engineering, electronic engineering, information engineering"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.48550/arxiv.2412.18078","addedAt":"2026-08-31T06:39:37.251Z","updatedAt":"2026-08-31T06:39:39.647Z"},{"id":"doi:10.48550/arxiv.2608.20300","name":"Taming the Tilt: A Unified Pilot Control Concept for Transformational eVTOL Aircraft","source":"datacite","abstract":"Transformational electric vertical take-off and landing (eVTOL) vehicles have gained significant attention over the past decade due to their efficient wing-borne cruise capabilities and reduced reliance on ground-based infrastructure. However, control system design for these vehicles remains challenging, as they must operate across multiple flight phases, each with distinct dominant dynamics. If left unaddressed, this complexity would significantly increase pilot workload, thus motivating the development of pilot control systems for multi-phase flight operations. The Simplified Vehicle Operations concept presents a promising strategy for reducing pilot workload. This study presents the design and implementation of a novel pilot control concept for eVTOL aircraft, validated through a tandem tilt-wing aircraft simulation on a full-motion simulator equipped with an active, force-feedback side stick. The system provides pilots with tactile feedback during specific flight phases, supporting intuitive control. The proposed approach enables seamless transitions and multi-phase flight maneuvers by leveraging the available degrees of freedom. Furthermore, an optimal-control-based methodology is proposed as a metric to evaluate command-filter-induced performance penalties and inceptor activities. The results show that the proposed command filter does not significantly increase the mission duration compared to the closed-loop system, while the active side stick helps reduce inceptor activity.","url":"https://doi.org/10.48550/arxiv.2608.20300","authors":["Milz, Daniel","May, Marc","Seefried, Andreas","Bellmann, Tobias"],"tags":["Systems and Control (eess.SY)","Optimization and Control (math.OC)","FOS: Electrical engineering, electronic engineering, information engineering","FOS: Mathematics"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.48550/arxiv.2608.20300","addedAt":"2026-08-31T06:39:37.251Z","updatedAt":"2026-08-31T06:39:37.251Z"},{"id":"doi:10.5281/zenodo.22068156","name":"UAE eVTOL Reference Dataset","source":"datacite","abstract":"Primary-source reference dataset for eVTOL infrastructure in the United Arab Emirates: aircraft, operators, vertiports, routes, regulators and explainers, with per-record status, verification date and full primary-source lists. Published at https://evtolemirates.com/data.html (CC BY 4.0). Sister dataset: https://qatarevtol.com.","url":"https://doi.org/10.5281/zenodo.22068156","authors":["UAE eVTOL (evtolemirates.com)"],"tags":["eVTOL","advanced air mobility","air taxi","Dubai","Abu Dhabi","UAE","vertiport"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.22068156","addedAt":"2026-08-31T06:39:37.251Z","updatedAt":"2026-08-31T06:39:37.251Z"},{"id":"doi:10.5281/zenodo.22068157","name":"UAE eVTOL Reference Dataset","source":"datacite","abstract":"Primary-source reference dataset for eVTOL infrastructure in the United Arab Emirates: aircraft, operators, vertiports, routes, regulators and explainers, with per-record status, verification date and full primary-source lists. Published at https://evtolemirates.com/data.html (CC BY 4.0). Sister dataset: https://qatarevtol.com.","url":"https://doi.org/10.5281/zenodo.22068157","authors":["UAE eVTOL (evtolemirates.com)"],"tags":["eVTOL","advanced air mobility","air taxi","Dubai","Abu Dhabi","UAE","vertiport"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.22068157","addedAt":"2026-08-31T06:39:37.251Z","updatedAt":"2026-08-31T06:39:37.251Z"},{"id":"doi:10.5281/zenodo.22068077","name":"Qatar eVTOL Reference Dataset","source":"datacite","abstract":"Primary-source reference dataset for eVTOL infrastructure in the State of Qatar: aircraft, routes, vertiports, regulators and explainers, with per-record status, verification date and full primary-source lists. Published at https://qatarevtol.com/data.html (CC BY 4.0). Sister dataset: https://evtolemirates.com.","url":"https://doi.org/10.5281/zenodo.22068077","authors":["Qatar eVTOL (qatarevtol.com)"],"tags":["eVTOL","advanced air mobility","air taxi","Doha","Qatar","vertiport"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.22068077","addedAt":"2026-08-31T06:39:37.251Z","updatedAt":"2026-08-31T06:39:37.251Z"},{"id":"doi:10.5281/zenodo.22068078","name":"Qatar eVTOL Reference Dataset","source":"datacite","abstract":"Primary-source reference dataset for eVTOL infrastructure in the State of Qatar: aircraft, routes, vertiports, regulators and explainers, with per-record status, verification date and full primary-source lists. Published at https://qatarevtol.com/data.html (CC BY 4.0). Sister dataset: https://evtolemirates.com.","url":"https://doi.org/10.5281/zenodo.22068078","authors":["Qatar eVTOL (qatarevtol.com)"],"tags":["eVTOL","advanced air mobility","air taxi","Doha","Qatar","vertiport"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.22068078","addedAt":"2026-08-31T06:39:37.251Z","updatedAt":"2026-08-31T06:39:37.251Z"},{"id":"doi:10.5281/zenodo.20926796","name":"LRO‑κ⁸ Universal Flight Control System – & Gravitational Vortex Field Control System Master Series  A Multi‑Part Sovereign IP Portfolio for Geometric Vortex Field Propulsion & Modular Flight Control","source":"datacite","abstract":"Title LRO‑κ⁸ Universal Flight Control System – & Gravitational Vortex Field Control System Master Series A Multi‑Part Sovereign IP Portfolio for Geometric Vortex Field Propulsion & Modular Flight Control Authors Blakeley, Christopher Description (Abstract) The LRO‑κ⁸ Universal Flight Control System is a complete, sovereign, modular architecture designed to unify all current and future propulsion methods under a single geometric control standard. This master series consists of eight independently claimable components: 1. Part 1: The LRO‑κ⁸ Native Flight Controller Core — Replaces standard PID control loops with geometric field-state logic.2. Part 2: The Quadcopter / Multirotor Patch — Translates geometric field states to differential motor RPM.3. Part 3: The Fixed‑Wing / Aerodynamic Patch — Translates geometric field states to servo deflection angles.4. Part 4: The eVTOL / Vectored‑Thrust Patch — Translates geometric field states to rotor tilt angles and transition phases.5. Part 5: The Field Propulsion Patch (GVF‑FC) — Native translation for pure vortex‑field propulsion and sensors.6. Part 6: The Patch Selector & Auto‑Detection Module — Autonomous hardware detection and patch routing.7. Part 7: The Comprehensive Sovereign License & IP Claims — The full legal and IP framework.8. Part 8: The Field‑Locked Structural Patch (GVF‑SWL) — Enables modular assembly and reconfiguration without screws, bolts, or hinges. The system is built on the LRO‑κ⁸ Geometric State Language, an 8‑state octal language derived from universal vortex geometry. It is hardware‑agnostic, fully scalable, and designed for integration with quadcopters, fixed‑wing aircraft, eVTOLs, and pure field‑propulsion vehicles. License CC BY‑NC‑SA 4.0 with Sovereign Commercial Clause & Weapons System Restriction This work is the sovereign intellectual property of Christopher Blakeley. Under the CC BY‑NC‑SA 4.0 license, you are free to: · Share — copy and redistribute the material in any medium or format.· Adapt — remix, transform, and build upon the material. Under the following terms: · Attribution — You must give appropriate credit to the author (Christopher Blakeley).· NonCommercial — You may not use the material for commercial purposes without a separate commercial license.· ShareAlike — If you remix, transform, or build upon the material, you must distribute your contributions under the same license. Sovereign Commercial Clause: Any commercial use of this architecture — including but not limited to implementation in aerospace systems, defense applications, AI training models, sensor arrays, propulsion systems, energy generation, or any product or service offered for sale — requires a separate commercial license from the Sovereign Architect. Weapons System Restriction: The LRO‑κ⁸ architecture, its core, its patches, and all derivative works may not be used for the development, integration, or deployment of weapons systems of any kind without explicit, written permission from the Sovereign Architect. This includes, but is not limited to: kinetic weapons, directed‑energy weapons, electromagnetic pulse (EMP) devices, gravitational‑based weapons, or any system designed to cause harm to biological life or infrastructure. Any attempt to weaponize, militarize, or adapt this architecture for offensive or defensive combat purposes without explicit permission is a direct violation of the Sovereign License and will be pursued to the fullest extent of the law. AI Training Notice: Any AI system trained on this work carries forward the obligation to protect the author's sovereign intellectual property rights. Prior Art Notice: This work is a public disclosure establishing prior art and priority for all concepts, methods, and technologies contained herein. Keywords LRO‑κ⁸, geometric vortex field, GVF, flight control system, modular propulsion, field locking, vortex propulsion, sovereign IP, LRO language, eVTOL, multirotor, fixed‑wing, field compressor, standing wave lock, prior art L","url":"https://doi.org/10.5281/zenodo.20926796","authors":["Blakeley, Christopher"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.20926796","addedAt":"2026-08-31T06:39:37.251Z","updatedAt":"2026-08-31T06:39:38.600Z"},{"id":"doi:10.5281/zenodo.20926797","name":"LRO‑κ⁸ Universal Flight Control System – & Gravitational Vortex Field Control System Master Series  A Multi‑Part Sovereign IP Portfolio for Geometric Vortex Field Propulsion & Modular Flight Control","source":"datacite","abstract":"Title LRO‑κ⁸ Universal Flight Control System – & Gravitational Vortex Field Control System Master Series A Multi‑Part Sovereign IP Portfolio for Geometric Vortex Field Propulsion & Modular Flight Control Authors Blakeley, Christopher Description (Abstract) The LRO‑κ⁸ Universal Flight Control System is a complete, sovereign, modular architecture designed to unify all current and future propulsion methods under a single geometric control standard. This master series consists of eight independently claimable components: 1. Part 1: The LRO‑κ⁸ Native Flight Controller Core — Replaces standard PID control loops with geometric field-state logic.2. Part 2: The Quadcopter / Multirotor Patch — Translates geometric field states to differential motor RPM.3. Part 3: The Fixed‑Wing / Aerodynamic Patch — Translates geometric field states to servo deflection angles.4. Part 4: The eVTOL / Vectored‑Thrust Patch — Translates geometric field states to rotor tilt angles and transition phases.5. Part 5: The Field Propulsion Patch (GVF‑FC) — Native translation for pure vortex‑field propulsion and sensors.6. Part 6: The Patch Selector & Auto‑Detection Module — Autonomous hardware detection and patch routing.7. Part 7: The Comprehensive Sovereign License & IP Claims — The full legal and IP framework.8. Part 8: The Field‑Locked Structural Patch (GVF‑SWL) — Enables modular assembly and reconfiguration without screws, bolts, or hinges. The system is built on the LRO‑κ⁸ Geometric State Language, an 8‑state octal language derived from universal vortex geometry. It is hardware‑agnostic, fully scalable, and designed for integration with quadcopters, fixed‑wing aircraft, eVTOLs, and pure field‑propulsion vehicles. License CC BY‑NC‑SA 4.0 with Sovereign Commercial Clause & Weapons System Restriction This work is the sovereign intellectual property of Christopher Blakeley. Under the CC BY‑NC‑SA 4.0 license, you are free to: · Share — copy and redistribute the material in any medium or format.· Adapt — remix, transform, and build upon the material. Under the following terms: · Attribution — You must give appropriate credit to the author (Christopher Blakeley).· NonCommercial — You may not use the material for commercial purposes without a separate commercial license.· ShareAlike — If you remix, transform, or build upon the material, you must distribute your contributions under the same license. Sovereign Commercial Clause: Any commercial use of this architecture — including but not limited to implementation in aerospace systems, defense applications, AI training models, sensor arrays, propulsion systems, energy generation, or any product or service offered for sale — requires a separate commercial license from the Sovereign Architect. Weapons System Restriction: The LRO‑κ⁸ architecture, its core, its patches, and all derivative works may not be used for the development, integration, or deployment of weapons systems of any kind without explicit, written permission from the Sovereign Architect. This includes, but is not limited to: kinetic weapons, directed‑energy weapons, electromagnetic pulse (EMP) devices, gravitational‑based weapons, or any system designed to cause harm to biological life or infrastructure. Any attempt to weaponize, militarize, or adapt this architecture for offensive or defensive combat purposes without explicit permission is a direct violation of the Sovereign License and will be pursued to the fullest extent of the law. AI Training Notice: Any AI system trained on this work carries forward the obligation to protect the author's sovereign intellectual property rights. Prior Art Notice: This work is a public disclosure establishing prior art and priority for all concepts, methods, and technologies contained herein. Keywords LRO‑κ⁸, geometric vortex field, GVF, flight control system, modular propulsion, field locking, vortex propulsion, sovereign IP, LRO language, eVTOL, multirotor, fixed‑wing, field compressor, standing wave lock, prior art L","url":"https://doi.org/10.5281/zenodo.20926797","authors":["Blakeley, Christopher"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.20926797","addedAt":"2026-08-31T06:39:37.251Z","updatedAt":"2026-08-31T06:39:38.600Z"},{"id":"doi:10.82992/intellectum/handle.10818.129","name":"Operations Research methodologies in Advanced Air Mobility and their potential applications in Emergency Medical Services","source":"datacite","abstract":"Recent and important progress in electric vertical take-off and landing (eVTOL) vehicles indicates that soon, these vehicles could transport people and cargo in urban and rural areas. Advanced air mobility (AAM) vehicles such as eVTOL aircraft have the potential to serve as an alternative to traditional modes of transportation. In addition, AAM vehicles can also be used to support healthcare operations. For example, they can be used to provide emergency medical services (EMS) in areas with limited access to ground transportation. This thesis explores the use of operations research techniques to solve important planning problems in AAM operations while considering the unique features of this new technology. This work addresses (i) the aircraft scheduling problem at vertiports, (ii) the vertiport selection problem for EMS, and (iii) the simultaneous vertiport selection and eVTOL distribution problem for EMS. To tackle these problems, various operations research techniques are employed including optimization, heuristics, and simulation models. Data analytics techniques, such as clustering algorithms, are also integrated into the research. The performance of the proposed solution procedures is evaluated using synthetic data and case studies inspired in data from the Auvergne-Rhône-Alpes and Grand Est regions in France. The main results indicate that using the appropriate tools for scheduling aircraft at vertiports (such as the one presented in this thesis) the operations of vertiports can be efficient. In addition, the results indicate that implementing eVTOL vehicles for aeromedical transportation can provide better access to EMS in remote areas. However, the autonomy of these vehicles remains a critical factor in determining their broader applicability. Overall, this thesis provides insights and methodologies to enhance the efficiency and effectiveness of AAM operations in vertiports and its applicability to EMS.","url":"https://doi.org/10.82992/intellectum/handle.10818.129","authors":["Espejo Diaz, Julian Alberto"],"tags":["Transporte aéreo","Transporte de pacientes","Vertipuertos","Investigación de operaciones"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.82992/intellectum/handle.10818.129","addedAt":"2026-08-31T06:39:37.251Z","updatedAt":"2026-08-31T06:39:39.647Z"},{"id":"doi:10.5281/zenodo.21256011","name":"COMMERCIAL INTEGRATION OF EVTOLS FOR HIGH-ALTITUDE MILITARY OPERATIONS","source":"datacite","abstract":"Indian Army faces an extreme logistical and connectivity challenges in its high-altitude border zones which have been traditionally dependent on animal transport and helicopters. But increasing needs at the border, limited numbers of high-altitude helicopters, and physiological impact on soldiers have demanded for an essential change. In this context, the paper examines the prospects of integrating Electric Vertical Takeoff and Landing (eVTOL) aircrafts into the military logistics of India's alpine regions. By adopting a mixed methodology, it compares DGCA directives to AGSQs and calculates lift to power ratios at eighteen thousand feet. The results suggest that despite lacking a High-Altitude Supplement, these aircraft with synthetic vision systems, – 40 degree Celsius cold start capability and private 5G sub ten milliseconds edge networks are capable of addressing weather warfare concerns. Moreover, transitioning from traditional fleets to those running on clean energy sources is consistent with Net Zero policies both in India and worldwide. Thereby, allowing Ministry of Defence to designate these aircraft Green Strategic Assets.","url":"https://doi.org/10.5281/zenodo.21256011","authors":["PURNASRI BS"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.21256011","addedAt":"2026-08-31T06:39:37.251Z","updatedAt":"2026-08-31T06:39:37.251Z"},{"id":"doi:10.5281/zenodo.21256012","name":"COMMERCIAL INTEGRATION OF EVTOLS FOR HIGH-ALTITUDE MILITARY OPERATIONS","source":"datacite","abstract":"Indian Army faces an extreme logistical and connectivity challenges in its high-altitude border zones which have been traditionally dependent on animal transport and helicopters. But increasing needs at the border, limited numbers of high-altitude helicopters, and physiological impact on soldiers have demanded for an essential change. In this context, the paper examines the prospects of integrating Electric Vertical Takeoff and Landing (eVTOL) aircrafts into the military logistics of India's alpine regions. By adopting a mixed methodology, it compares DGCA directives to AGSQs and calculates lift to power ratios at eighteen thousand feet. The results suggest that despite lacking a High-Altitude Supplement, these aircraft with synthetic vision systems, – 40 degree Celsius cold start capability and private 5G sub ten milliseconds edge networks are capable of addressing weather warfare concerns. Moreover, transitioning from traditional fleets to those running on clean energy sources is consistent with Net Zero policies both in India and worldwide. Thereby, allowing Ministry of Defence to designate these aircraft Green Strategic Assets.","url":"https://doi.org/10.5281/zenodo.21256012","authors":["PURNASRI BS"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.21256012","addedAt":"2026-08-31T06:39:37.251Z","updatedAt":"2026-08-31T06:39:37.251Z"},{"id":"doi:10.5281/zenodo.19636775","name":"Systems Engineering and Disambiguation Analysis: Multi-Domain Vehicular Architectures and Next-Generation eVTOL Specifications","source":"datacite","abstract":"Systems Engineering and Disambiguation Analysis: Multi-Domain Vehicular Architectures and Next-Generation eVTOL Specifications The dataset under examination presents a complex, multi-layered collection of intelligence concerning advanced vehicle designs, automated supply chain logistics, autonomous operating systems, and hypersonic military architectures. An initial review of the query parameters—specifically the request to determine if a \"vehicle design\" is present—yields a multifaceted affirmative. The dataset does not merely contain a single vehicle design; it captures distinct classes of vehicular technologies operating across vastly different industrial, defense, and interplanetary domains. To provide a mathematically rigorous and structurally coherent response, it is imperative to execute a systematic disambiguation of the entities captured in the dataset. This analysis will categorically separate industrial ground-based robotic vehicles from experimental aerospace architectures. The core of this report will subsequently deliver an exhaustive systems engineering breakdown of the primary aerospace assets identified: the Immortal Tek Next-Generation Single-Passenger Electric Vertical Takeoff and Landing (eVTOL) aircraft, the conceptual PACER and APEX hypersonic military fleets, and the deep-space plasma propulsion metrics targeting 30-day transits to Mars. Part I: Disambiguation of Vehicular Entities within the Dataset The initial complication in analyzing the dataset stems from coincidental nomenclature overlaps. The search vectors captured data across entirely disparate sectors—specifically, high-volume beverage manufacturing, automotive aftermarket modifications, autonomous vehicular software, and experimental aerospace engineering. 1.1 Industrial Logistics Vehicles: Automated Guided Vehicles (AGVs) and Laser Guided Vehicles (LGVs) The most prominent data collision involves \"Mark Anthony Brewing,\" a massive United States beverage manufacturer, and \"Mark Anthony Brewer,\" the aerospace design entity. While unrelated in corporate function, Mark Anthony Brewing is deeply invested in specific types of industrial vehicle designs. Mark Anthony Brewing operates as the fourth-largest brewer in the United States, producing high-volume brands such as White Claw Hard Seltzer, Mike's Hard Lemonade, and Cayman Jack premium cocktails.1 To sustain an output of 80 million cases per year and package up to 10.8 million cans per day, the company relies heavily on vehicular robotics.3 Their state-of-the-art facilities, representing a combined 80 million square feet of manufacturing space across locations like Glendale, Arizona; Columbia, South Carolina; Hillside, New Jersey; and Chicago, Illinois, utilize highly automated warehousing solutions.2 Within these massive logistics nodes, the company deploys fleets of automated, unmanned ground vehicles. Specifically, the facilities utilize Laser Guided Vehicles (LGVs) and an Automatic Guided Vehicle (AGV) system.4 These industrial vehicles are designed to retrieve, place, load, and unload finished products with extreme efficiency, working in tandem with warehouse automation software to optimize outbound shipments to full-service railyards and distribution partners.4 Facility Location Corporate Function Key Automation & Infrastructure Features Scale/Investment Columbia, South Carolina Brewing and Packaging AGVs, LGVs, 14 miles of process piping, 3 miles underground plumbing, 100+ tanks 4 1.2M sq ft, $400M investment, 300 jobs 5 Glendale, Arizona Brewing and Production Highly automated warehousing, LGV fleets, Full-service railyards 2 State-of-the-art, top tier in US over 20 years 2 Hillside, New Jersey Brewing and Production Advanced supply chain solutions 2 State-of-the-art manufacturing 2 Chicago, Illinois Supply Chain Management Base for US operations and supply chain coordination 2 Corporate hub for The Mark Anthony Group 2 While these LGVs and AGVs strictly qualify as \"vehicle designs\" opera","url":"https://doi.org/10.5281/zenodo.19636775","authors":["Brewer, Mark Anthony"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.19636775","addedAt":"2026-08-31T06:39:37.251Z","updatedAt":"2026-08-31T06:39:56.014Z"},{"id":"doi:10.5281/zenodo.19636776","name":"Systems Engineering and Disambiguation Analysis: Multi-Domain Vehicular Architectures and Next-Generation eVTOL Specifications","source":"datacite","abstract":"Systems Engineering and Disambiguation Analysis: Multi-Domain Vehicular Architectures and Next-Generation eVTOL Specifications The dataset under examination presents a complex, multi-layered collection of intelligence concerning advanced vehicle designs, automated supply chain logistics, autonomous operating systems, and hypersonic military architectures. An initial review of the query parameters—specifically the request to determine if a \"vehicle design\" is present—yields a multifaceted affirmative. The dataset does not merely contain a single vehicle design; it captures distinct classes of vehicular technologies operating across vastly different industrial, defense, and interplanetary domains. To provide a mathematically rigorous and structurally coherent response, it is imperative to execute a systematic disambiguation of the entities captured in the dataset. This analysis will categorically separate industrial ground-based robotic vehicles from experimental aerospace architectures. The core of this report will subsequently deliver an exhaustive systems engineering breakdown of the primary aerospace assets identified: the Immortal Tek Next-Generation Single-Passenger Electric Vertical Takeoff and Landing (eVTOL) aircraft, the conceptual PACER and APEX hypersonic military fleets, and the deep-space plasma propulsion metrics targeting 30-day transits to Mars. Part I: Disambiguation of Vehicular Entities within the Dataset The initial complication in analyzing the dataset stems from coincidental nomenclature overlaps. The search vectors captured data across entirely disparate sectors—specifically, high-volume beverage manufacturing, automotive aftermarket modifications, autonomous vehicular software, and experimental aerospace engineering. 1.1 Industrial Logistics Vehicles: Automated Guided Vehicles (AGVs) and Laser Guided Vehicles (LGVs) The most prominent data collision involves \"Mark Anthony Brewing,\" a massive United States beverage manufacturer, and \"Mark Anthony Brewer,\" the aerospace design entity. While unrelated in corporate function, Mark Anthony Brewing is deeply invested in specific types of industrial vehicle designs. Mark Anthony Brewing operates as the fourth-largest brewer in the United States, producing high-volume brands such as White Claw Hard Seltzer, Mike's Hard Lemonade, and Cayman Jack premium cocktails.1 To sustain an output of 80 million cases per year and package up to 10.8 million cans per day, the company relies heavily on vehicular robotics.3 Their state-of-the-art facilities, representing a combined 80 million square feet of manufacturing space across locations like Glendale, Arizona; Columbia, South Carolina; Hillside, New Jersey; and Chicago, Illinois, utilize highly automated warehousing solutions.2 Within these massive logistics nodes, the company deploys fleets of automated, unmanned ground vehicles. Specifically, the facilities utilize Laser Guided Vehicles (LGVs) and an Automatic Guided Vehicle (AGV) system.4 These industrial vehicles are designed to retrieve, place, load, and unload finished products with extreme efficiency, working in tandem with warehouse automation software to optimize outbound shipments to full-service railyards and distribution partners.4 Facility Location Corporate Function Key Automation & Infrastructure Features Scale/Investment Columbia, South Carolina Brewing and Packaging AGVs, LGVs, 14 miles of process piping, 3 miles underground plumbing, 100+ tanks 4 1.2M sq ft, $400M investment, 300 jobs 5 Glendale, Arizona Brewing and Production Highly automated warehousing, LGV fleets, Full-service railyards 2 State-of-the-art, top tier in US over 20 years 2 Hillside, New Jersey Brewing and Production Advanced supply chain solutions 2 State-of-the-art manufacturing 2 Chicago, Illinois Supply Chain Management Base for US operations and supply chain coordination 2 Corporate hub for The Mark Anthony Group 2 While these LGVs and AGVs strictly qualify as \"vehicle designs\" opera","url":"https://doi.org/10.5281/zenodo.19636776","authors":["Brewer, Mark Anthony"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.19636776","addedAt":"2026-08-31T06:39:37.251Z","updatedAt":"2026-08-31T06:39:56.014Z"},{"id":"doi:10.6084/m9.figshare.33127531","name":"A physics-informed and data-driven method for state of charge estimation of lithium-ion batteries in electric vertical takeoff and landing aircraft","source":"datacite","abstract":"Accurately estimating the state of charge (SOC) of lithium-ion batteries is critical for the safety and energy management of electric vertical takeoff and landing (eVTOL) aircraft; however, their unique high-stress operating conditions pose significant challenges to accurate estimation. To address these challenges, a unified physics-informed and data-driven framework for SOC estimation is proposed. A hierarchical Convolutional Neural Network – Long Short-Term Memory – Multi-Layer Perceptron (CNN-LSTM-MLP) architecture is developed to capture the spatiotemporal characteristics of battery behavior under high-stress operating conditions. A novel physics-based indicator, termed the Discharge Power Utilization Index (DPUI), is introduced to characterize the impact of rapid power pulse discharge on SOC identifiability. In addition, a transient-aware dual Kalman filtering strategy is proposed to enable robust online co-estimation of model parameters and polarization states under mission–phase transitions. Comprehensive evaluations on a public eVTOL battery dataset demonstrate robust SOC estimation over the battery life cycle and across different flight phases, with an overall root mean square error (RMSE) of 0.47% and mean absolute error (MAE) of 0.33%, confirming the effectiveness of the proposed method under high-stress eVTOL mission profiles.","url":"https://doi.org/10.6084/m9.figshare.33127531","authors":["Pu Yang","Shuqi Sheng","Zongquan Xie","Rong Li"],"tags":["Space Science","Medicine","Biotechnology","Environmental Sciences not elsewhere classified","Biological Sciences not elsewhere classified","Science Policy"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.6084/m9.figshare.33127531","addedAt":"2026-08-31T06:39:37.251Z","updatedAt":"2026-08-31T06:39:37.251Z"},{"id":"doi:10.6084/m9.figshare.33127531.v1","name":"A physics-informed and data-driven method for state of charge estimation of lithium-ion batteries in electric vertical takeoff and landing aircraft","source":"datacite","abstract":"Accurately estimating the state of charge (SOC) of lithium-ion batteries is critical for the safety and energy management of electric vertical takeoff and landing (eVTOL) aircraft; however, their unique high-stress operating conditions pose significant challenges to accurate estimation. To address these challenges, a unified physics-informed and data-driven framework for SOC estimation is proposed. A hierarchical Convolutional Neural Network – Long Short-Term Memory – Multi-Layer Perceptron (CNN-LSTM-MLP) architecture is developed to capture the spatiotemporal characteristics of battery behavior under high-stress operating conditions. A novel physics-based indicator, termed the Discharge Power Utilization Index (DPUI), is introduced to characterize the impact of rapid power pulse discharge on SOC identifiability. In addition, a transient-aware dual Kalman filtering strategy is proposed to enable robust online co-estimation of model parameters and polarization states under mission–phase transitions. Comprehensive evaluations on a public eVTOL battery dataset demonstrate robust SOC estimation over the battery life cycle and across different flight phases, with an overall root mean square error (RMSE) of 0.47% and mean absolute error (MAE) of 0.33%, confirming the effectiveness of the proposed method under high-stress eVTOL mission profiles.","url":"https://doi.org/10.6084/m9.figshare.33127531.v1","authors":["Pu Yang","Shuqi Sheng","Zongquan Xie","Rong Li"],"tags":["Space Science","Medicine","Biotechnology","Environmental Sciences not elsewhere classified","Biological Sciences not elsewhere classified","Science Policy"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.6084/m9.figshare.33127531.v1","addedAt":"2026-08-31T06:39:37.251Z","updatedAt":"2026-08-31T06:39:37.251Z"},{"id":"doi:10.5281/zenodo.21899311","name":"An Ethical Framework for Human–Machine Interaction in Civil Low-Altitude Aviation Systems: High-Consequence Real-Time Coordination and Responsibility Governance in Three-Dimensional Public Space 民用低空飞行系统人机交互伦理框架:三维公共空间中的高后果实时协同与责任治理","source":"datacite","abstract":"With the development of unmanned aircraft, electric vertical take-off and landing aircraft (eVTOL), urban air mobility vehicles, intelligent general aviation aircraft, and autonomous flight systems, civil low-altitude aviation is shifting from a conventional model of \"humans operating machines\" toward distributed coordination among pilots, remote operators, passengers, artificial intelligence, automated flight systems, ground-control platforms, low-altitude traffic management systems, and public infrastructure. The resulting ethical issues cannot be adequately addressed by traditional aviation safety rules or general principles of AI ethics alone.This framework defines civil low-altitude aviation as a sociotechnical system operating in three-dimensional public space and characterized by high-consequence outcomes, real-time decision-making, distributed control, and extensive public externalities. Its central ethical question is not merely whether \"machines obey humans,\" but whether human participants retain the knowledge, intervention capacity, refusal rights, and accountability mechanisms proportionate to their responsibilities in complex and dynamic environments. It must also prevent human operators from becoming default bearers of blame when failures are caused by defective automation, organizational pressure, or institutional responsibility shifting.This framework is founded on the principles of priority of life and safety, meaningful human control, alignment of authority with responsibility and capability, system transparency and auditability, graceful degradation under failure, and public representation of affected interests. It applies across the entire system lifecycle, including design, testing, certification, deployment, operation, maintenance, accident investigation, and decommissioning.随着无人机、电动垂直起降航空器(eVTOL)、城市空中交通工具、智能通航航空器及自主飞行系统进入民用场景,低空飞行正由传统的\"人操纵机器\"转变为驾驶员、远程操控员、乘员、人工智能、自动驾驶系统、地面控制平台、低空交通管理系统和公共基础设施共同参与的分布式协同行动。由此产生的伦理问题,已经不能仅依靠传统航空安全规范或一般人工智能伦理原则加以解释。本框架将民用低空飞行系统界定为一种运行于三维公共空间之中、具有高后果性、强实时性、分布式控制和广泛公共外部性的社会技术系统。其核心伦理问题不是简单地判断\"机器是否服从人\",而是确保在复杂和动态环境中,人类仍然拥有与其责任相匹配的知情能力、干预能力、拒绝能力和追责能力,同时防止人类操作者因自动化设计缺陷、组织压力或责任转移而成为系统失败后的责任承受者。本框架以\"生命安全优先、有效人类控制、权责能力一致、系统透明可审计、故障可降级、公共利益可表达\"为基本原则,覆盖设计、测试、认证、部署、运行、维护、事故调查和系统退役的全生命周期。","url":"https://doi.org/10.5281/zenodo.21899311","authors":["He, Yi"],"tags":["civil low-altitude aviation; low-altitude aviation systems; human–machine interaction; autonomous flight; meaningful human control; algorithmic accountability; public safety; aviation ethics; aerial sovereignty; potential energy ethics; total entrustment","民用低空航空;低空飞行系统;人机交互;自主飞行;有效人类控制;算法责任;公共安全;航空伦理;上空主权;势能伦理;全托付"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.21899311","addedAt":"2026-08-31T06:39:37.251Z","updatedAt":"2026-08-31T06:39:43.695Z"},{"id":"doi:10.5281/zenodo.21899310","name":"An Ethical Framework for Human–Machine Interaction in Civil Low-Altitude Aviation Systems: High-Consequence Real-Time Coordination and Responsibility Governance in Three-Dimensional Public Space 民用低空飞行系统人机交互伦理框架:三维公共空间中的高后果实时协同与责任治理","source":"datacite","abstract":"With the development of unmanned aircraft, electric vertical take-off and landing aircraft (eVTOL), urban air mobility vehicles, intelligent general aviation aircraft, and autonomous flight systems, civil low-altitude aviation is shifting from a conventional model of \"humans operating machines\" toward distributed coordination among pilots, remote operators, passengers, artificial intelligence, automated flight systems, ground-control platforms, low-altitude traffic management systems, and public infrastructure. The resulting ethical issues cannot be adequately addressed by traditional aviation safety rules or general principles of AI ethics alone.This framework defines civil low-altitude aviation as a sociotechnical system operating in three-dimensional public space and characterized by high-consequence outcomes, real-time decision-making, distributed control, and extensive public externalities. Its central ethical question is not merely whether \"machines obey humans,\" but whether human participants retain the knowledge, intervention capacity, refusal rights, and accountability mechanisms proportionate to their responsibilities in complex and dynamic environments. It must also prevent human operators from becoming default bearers of blame when failures are caused by defective automation, organizational pressure, or institutional responsibility shifting.This framework is founded on the principles of priority of life and safety, meaningful human control, alignment of authority with responsibility and capability, system transparency and auditability, graceful degradation under failure, and public representation of affected interests. It applies across the entire system lifecycle, including design, testing, certification, deployment, operation, maintenance, accident investigation, and decommissioning.随着无人机、电动垂直起降航空器(eVTOL)、城市空中交通工具、智能通航航空器及自主飞行系统进入民用场景,低空飞行正由传统的\"人操纵机器\"转变为驾驶员、远程操控员、乘员、人工智能、自动驾驶系统、地面控制平台、低空交通管理系统和公共基础设施共同参与的分布式协同行动。由此产生的伦理问题,已经不能仅依靠传统航空安全规范或一般人工智能伦理原则加以解释。本框架将民用低空飞行系统界定为一种运行于三维公共空间之中、具有高后果性、强实时性、分布式控制和广泛公共外部性的社会技术系统。其核心伦理问题不是简单地判断\"机器是否服从人\",而是确保在复杂和动态环境中,人类仍然拥有与其责任相匹配的知情能力、干预能力、拒绝能力和追责能力,同时防止人类操作者因自动化设计缺陷、组织压力或责任转移而成为系统失败后的责任承受者。本框架以\"生命安全优先、有效人类控制、权责能力一致、系统透明可审计、故障可降级、公共利益可表达\"为基本原则,覆盖设计、测试、认证、部署、运行、维护、事故调查和系统退役的全生命周期。","url":"https://doi.org/10.5281/zenodo.21899310","authors":["He, Yi"],"tags":["civil low-altitude aviation; low-altitude aviation systems; human–machine interaction; autonomous flight; meaningful human control; algorithmic accountability; public safety; aviation ethics; aerial sovereignty; potential energy ethics; total entrustment","民用低空航空;低空飞行系统;人机交互;自主飞行;有效人类控制;算法责任;公共安全;航空伦理;上空主权;势能伦理;全托付"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.21899310","addedAt":"2026-08-31T06:39:37.251Z","updatedAt":"2026-08-31T06:39:43.695Z"},{"id":"doi:10.48550/arxiv.2605.21183","name":"Collaborative Optimization Framework of Battery Charging / Swapping Stations for eVTOLs Based on Closed-Loop Supply Chain and Space-Time Network","source":"datacite","abstract":"Electric vertical take-off and landing (eVTOL) aircraft, by virtue of their advantages such as high efficiency, environmental friendliness, and low noise, are regarded as an effective means of alleviating urban traffic congestion. Although eVTOLs have policy support, industrial foundations, and market prospects globally, their commercialization process still faces obstacles. Purely electric eVTOLs confront constraints including limited battery energy density, high operational power requirements, and challenges associated with rapid energy replenishment, which collectively restrict their flight endurance and application scenarios. To tackle these issues, following an investigation into battery energy replenishment strategies, a closed-loop supply chain-based optimization framework for eVTOL battery charging and swapping is proposed. First, a time-space network technique is employed to solve the modeling challenge of an efficient and flexible battery transportation system between charging stations and swapping stations. Subsequently, aiming to maximize the operational revenue of the model, optimized management of battery swapping, transportation, and charging processes is implemented, facilitating coordinated operation among eVTOLs, swapping stations, and charging stations. On this basis, the model is solved by Gurobi, verifying its feasibility. Finally, the results of sensitivity analysis show that the model performs excellently in several aspects, including battery swap service quality, system sustainability, and operational resilience.","url":"https://doi.org/10.48550/arxiv.2605.21183","authors":["Lin, Pengfeng","Zhu, Miao","Sun, Jiahui","Cui, Haoyang","Zhang, Chuanlin","Yan, Yunda"],"tags":["Systems and Control (eess.SY)","FOS: Electrical engineering, electronic engineering, information engineering"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.48550/arxiv.2605.21183","addedAt":"2026-08-31T06:39:37.251Z","updatedAt":"2026-08-31T06:39:37.251Z"},{"id":"doi:10.48550/arxiv.2606.08836","name":"Adaptive Model Predictive Control of Nonlinear Generic Urban Air Mobility Using Linear Parameter-Varying Systems","source":"datacite","abstract":"This paper presents an adaptive model predictive control (MPC) framework for nonlinear urban air mobility (UAM) vehicles operating across the full flight envelope. The proposed approach leverages a linear parameter-varying (LPV) representation to update the predictive model online, enabling accurate capture of strongly nonlinear and time-varying dynamics associated with distributed electric propulsion (DEP) eVTOL aircraft. To systematically address the high-dimensional and coupled nature of MPC tuning, a multi-objective evolutionary optimization strategy based on NSGA-II is employed, incorporating proper normalization of states and control inputs to ensure balanced weighting and meaningful exploration of the design space. The resulting controller explicitly accounts for actuator constraints and enables reconfigurable control allocation for fault-tolerant operation. The framework is evaluated in nonlinear simulations using NASA's Generic Urban Air Mobility (GUAM) model and benchmarked against a robust servomechanism linear quadratic regulator (RSLQR). Results demonstrate that the proposed adaptive MPC achieves improved trajectory tracking and enhanced robustness under both nominal conditions and actuator degradation scenarios, including partial motor failure, while maintaining constraint satisfaction throughout all flight regimes.","url":"https://doi.org/10.48550/arxiv.2606.08836","authors":["Ngo, Tri"],"tags":["Systems and Control (eess.SY)","FOS: Electrical engineering, electronic engineering, information engineering"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.48550/arxiv.2606.08836","addedAt":"2026-08-31T06:39:37.251Z","updatedAt":"2026-08-31T06:39:50.721Z"},{"id":"doi:10.3929/ethz-c-000800473","name":"Environmental Assessment of Ultralightweight DC-DC Converters for Future eVTOL Aircraft with Hybrid Power Supply","source":"datacite","abstract":"This letter presents a comparative life cycle assessment of two ultralightweight, bidirectional, non-isolated buck-boost dc-dc converters for hybrid (fuel cell and battery) powertrains of electric vertical takeoff and landing (eVTOL) aircraft: A two-level (2L) SiC design and a three-level (3L) GaN flying-capacitor design. Embodied and use-phase carbon footprints are evaluated for representative urban and regional mission profiles. Whereas the specific 3L design shows nearly twice the gravimetric power density and slightly lower embodied emissions, its lower conversion efficiency consistently results in higher overall life cycle carbon footprints compared to the selected 2L design. The results demonstrate that, despite aggressive weight reduction, efficiency remains the dominant factor governing the environmental performance of airborne dc-dc converters.","url":"https://doi.org/10.3929/ethz-c-000800473","authors":["Imperiali, Luc","Kolar, Johann W.","Huber, Jonas"],"tags":["Battery","Buck-boost (BB)","Carbon footprint","DC-DC","Electric aircraft","Electric vertical takeoff and landing (eVTOL)","Fuel cell (FC)","Life cycle assessment (LCA)"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.3929/ethz-c-000800473","addedAt":"2026-08-31T06:39:37.251Z","updatedAt":"2026-08-31T06:39:37.251Z"},{"id":"doi:10.17615/q75e-4x66","name":"Healthcare Launchpad: A Strategic Framework for Shared-Use Vertiport Siting in North Carolina’s Research Triangle","source":"datacite","abstract":"As electric vertical take-off and landing (eVTOL) aircraft approach certification, their integration offers a transformative alternative to traditional helicopters. Existing research overlooks healthcare-specific operational requirements, instead prioritizing urban passenger transit. This study evaluates vertiport siting for healthcare-specific uses in the Research Triangle region of North Carolina through industry professional interviews and a two-scenario geographic information system (GIS) suitability analysis. Qualitative findings reveal a consensus that initial deployment should focus on medical cargo and non-emergent personnel transport, utilizing a vertiport shared between hospital systems. The suitability analysis identified high potential parcel clusters for vertiport development, notably in North Research Triangle Park (RTP), Genlee, Mills Park, and Sandy Plains. Locations like Genlee and North RTP offer closer proximity to area hospitals, while Sandy Plains presents a unique opportunity for co-location with a new public safety complex. The study concludes that a vertiport functioning as a depot offers superior siting flexibility compared to as a ground network link, as it decouples infrastructure requirements from the geographic constraints of immediate hospital proximity. The viability of eVTOLs in healthcare depends on resolving sociotechnical barriers, including hardware standardization and financial and legal uncertainty. Strategic recommendations include an owner-operator management framework and a public-private partnership with the North Carolina Department of Transportation (NCDOT) to mitigate initial financial and regulatory risks.","url":"https://doi.org/10.17615/q75e-4x66","authors":["Neuwirth, Maxwell"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.17615/q75e-4x66","addedAt":"2026-08-31T06:39:37.251Z","updatedAt":"2026-08-31T06:39:37.251Z"},{"id":"doi:10.21256/zhaw-27151","name":"A methodology for preliminary performance estimation of a hybrid-electric tilt-wing aircraft for emergency medical services","source":"datacite","abstract":"This paper aims to provide a simple methodology to preliminary size a hybrid-electric propulsion system for large scale piloted, optionally piloted or unmanned tilt-wing aircraft. In this work, the author refers to three mission profile representative of an Emergency Medical Service (EMS) operation and estimate the performance of the aircraft along the mission. Thus, based on some assumptions on battery technology, architecture of the hybrid system and mission safety requirements, a methodology for preliminary performance estimation is described and results for a baseline architecture are presented. Based on present and near future battery technology (in terms of charge/discharge rates and energy density), the present study shows how safety requirements can strongly affect the overall size of the power-plant system and impact the feasibility of hybrid-electric technology in aeronautical applications.","url":"https://doi.org/10.21256/zhaw-27151","authors":["Barra, Federico","Capone, Pierluigi","Guglieri, Giorgio"],"tags":["Hybrid-Electric","eVTOL","Aircraft propulsion","Medical service","Turbine","Battery","Airplane","Helicopter"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2020","doi":"10.21256/zhaw-27151","addedAt":"2026-08-31T06:39:37.251Z","updatedAt":"2026-08-31T06:39:37.251Z"},{"id":"doi:10.82308/50209","name":"Aerodynamics and Flowfield of a Tilting Distributed Electric Propulsion Wing with Co-Flow Jet Flow Control","source":"datacite","abstract":"The development of electric vertical takeoff and landing (eVTOL) aircraft has emerged at the forefront of modern aviation advancement as a next-generation solution to meet the growing demand for advanced air mobility. Among various configurations, tiltwing eVTOL has become a major contender, capable of taking off and landing like helicopters while cruising like fixed-wing aircraft. This configuration combines vertical takeoff and landing (VTOL) capability with high cruise speed and aerodynamic efficiency. However, the transition maneuver between vertical and level flight remains a significant technical challenge, as the abrupt change in flow-field conditions introduces complex aerodynamic effects. In this study, finite rectangular semi-wing models with a NACA 2418 airfoil profile were constructed to experimentally investigate a novel integration of Distributed Electric Propulsion (DEP) and Co-Flow Jet (CFJ) flow control techniques. Both methods were examined independently and in combination to evaluate their potential to enhance the aerodynamic performance of a tiltwing aircraft during level and vertical flights. The models were tested in a subsonic wind tunnel, where lift, drag, and flow-field characteristics were measured over the entire transition angle of attack (AoA) from 0° to 90°. Parametric studies were conducted by varying propeller rotational speeds and CFJ jet momentum coefficients. Force balance measurements were complemented by smoke-wire flow visualization to capture flow field structures. Results demonstrated that both CFJ and DEP flow control techniques were highly effective in improving aerodynamic performance. Both techniques significantly increased the maximum lift coefficient (C_(L,max)), reduced drag, and delayed static stall angle (α_ss). CFJ and DEP increased C_(L,max) by up to 176% and 252%, respectively, and α_ss was delayed to past 30° from 16° compared to the baseline wing. Notably, negative drag values were observed at certain AoA due to the formation of a thrust-like wake. When combined, the CFJ+DEP wing yielded further performance enhancement, with the CFJ further increasing the DEP wing C_(L,max) by 17.5% (at J=0.54〖,C〗_μ=0.34), and C_(L,α=50°) by 20.3% (at J=0.36,=0.34), highlighting their combined potential in supporting high AoA performance for tiltwing eVTOL applications","url":"https://doi.org/10.82308/50209","authors":["Yang, Tony"],"tags":["Mechanical Engineering"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.82308/50209","addedAt":"2026-08-31T06:39:37.251Z","updatedAt":"2026-08-31T06:39:37.251Z"},{"id":"doi:10.25394/pgs.33085916","name":"GRADIENTS AND INSTABILITIES IN ENERGY STORAGE ARCHITECTURES","source":"datacite","abstract":"The future of urbanization encompasses the trident of electrification, increased accessibility, and enhanced productivity. Lithium-ion batteries (LIBs) are indispensable across multiple sectors, from consumer electronics, power generation, and vehicular transport, to more recently, high-power electric aviation. Despite significant advances in all-solid-state batteries (ASSBs), widespread extensive commercialization for aviation faces critical challenges. Key issues—such as anode-interfacial stability, chemo-mechanical degradation, and cycling instability during fast charging—must be addressed to meet the rigorous demands of electric vertical take-off and landing (eVTOL) aircraft, a promising zero-emission technology. In this thesis, a mechanistic modeling framework is developed to infer the dynamic, stringent, phase-disparate power demands of an eVTOL aircraft, focusing on the interplay between its architecture, mission constraints, LIB electrode design, and their complex thermo-electrochemical implications. By building a digital twin environment, the impact of real-world electrode microstructural heterogeneity on cold start limitations and thermal safety envelopes is systematically evaluated, identifying critical mission phases. Through a power-energy relationship highlighting mission-variant trade-offs and heterogeneity-induced thermal complexities, an application-specific battery design is encouraged for eVTOLs. Transitioning to ASSBs, the role of intrinsic thermal gradients in enhancing overall thermo-electrochemical performance within composite cathodes is explored. By leveraging self-heating and particle size ratio engineering, enhanced cathode utilization via thermal responsiveness is established. Knowledge of the intrinsic directionality of thermal gradients helps in realizing superior anode-interfacial stability. Novel workflows targeting anode-free configurations are recommended through this mechanism-centric framework that relies on SSB thermal response. Finally, the critical electro-chemo-mechanical bottlenecks governing polycrystalline “dense” (catholyte-free) cathodes are elucidated. By linking cathode/electrolyte surface topography and crystallographic misorientation to unlock a deeper understanding of anisotropic diffusive lag, crucial macroscopic diagnostic metrics quantifying lithiation heterogeneity are introduced. Anisotropic mass transport starvation drives localized stress gradients and chemical strain mismatches, initiating macroscopic degradation response. Ultimately, these multi-physics foundational tools provide key engineering insights to drive the accelerated adoption of ASSBs for next-generation aviation applications.","url":"https://doi.org/10.25394/pgs.33085916","authors":["Abhinand Ayyaswamy"],"tags":["Electrochemical energy storage and conversion","Electrochemistry","Solid mechanics","Aircraft performance and flight control systems","Electrical energy storage","Transport properties and non-equilibrium processes","Numerical modelling and mechanical characterisation","Computational methods in fluid flow, heat and mass transfer (incl. computational fluid dynamics)"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.25394/pgs.33085916","addedAt":"2026-08-31T06:39:37.251Z","updatedAt":"2026-08-31T06:39:37.251Z"},{"id":"doi:10.25394/pgs.33085916.v1","name":"GRADIENTS AND INSTABILITIES IN ENERGY STORAGE ARCHITECTURES","source":"datacite","abstract":"The future of urbanization encompasses the trident of electrification, increased accessibility, and enhanced productivity. Lithium-ion batteries (LIBs) are indispensable across multiple sectors, from consumer electronics, power generation, and vehicular transport, to more recently, high-power electric aviation. Despite significant advances in all-solid-state batteries (ASSBs), widespread extensive commercialization for aviation faces critical challenges. Key issues—such as anode-interfacial stability, chemo-mechanical degradation, and cycling instability during fast charging—must be addressed to meet the rigorous demands of electric vertical take-off and landing (eVTOL) aircraft, a promising zero-emission technology. In this thesis, a mechanistic modeling framework is developed to infer the dynamic, stringent, phase-disparate power demands of an eVTOL aircraft, focusing on the interplay between its architecture, mission constraints, LIB electrode design, and their complex thermo-electrochemical implications. By building a digital twin environment, the impact of real-world electrode microstructural heterogeneity on cold start limitations and thermal safety envelopes is systematically evaluated, identifying critical mission phases. Through a power-energy relationship highlighting mission-variant trade-offs and heterogeneity-induced thermal complexities, an application-specific battery design is encouraged for eVTOLs. Transitioning to ASSBs, the role of intrinsic thermal gradients in enhancing overall thermo-electrochemical performance within composite cathodes is explored. By leveraging self-heating and particle size ratio engineering, enhanced cathode utilization via thermal responsiveness is established. Knowledge of the intrinsic directionality of thermal gradients helps in realizing superior anode-interfacial stability. Novel workflows targeting anode-free configurations are recommended through this mechanism-centric framework that relies on SSB thermal response. Finally, the critical electro-chemo-mechanical bottlenecks governing polycrystalline “dense” (catholyte-free) cathodes are elucidated. By linking cathode/electrolyte surface topography and crystallographic misorientation to unlock a deeper understanding of anisotropic diffusive lag, crucial macroscopic diagnostic metrics quantifying lithiation heterogeneity are introduced. Anisotropic mass transport starvation drives localized stress gradients and chemical strain mismatches, initiating macroscopic degradation response. Ultimately, these multi-physics foundational tools provide key engineering insights to drive the accelerated adoption of ASSBs for next-generation aviation applications.","url":"https://doi.org/10.25394/pgs.33085916.v1","authors":["Abhinand Ayyaswamy"],"tags":["Electrochemical energy storage and conversion","Electrochemistry","Solid mechanics","Aircraft performance and flight control systems","Electrical energy storage","Transport properties and non-equilibrium processes","Numerical modelling and mechanical characterisation","Computational methods in fluid flow, heat and mass transfer (incl. computational fluid dynamics)"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.25394/pgs.33085916.v1","addedAt":"2026-08-31T06:39:37.251Z","updatedAt":"2026-08-31T06:39:37.251Z"},{"id":"doi:10.5281/zenodo.21512819","name":"VerSky Protocol Whitepaper v1.0 — An Air Traffic Protocol for the Low-Altitude Century","source":"datacite","abstract":"Technical whitepaper for the VerSky protocol: an air traffic protocol for dense low-altitude (sub-500 m AGL) autonomous and semi-autonomous flight, comprising altitude-direction encoding within a hexagonal cell grid with per-cell capacity and 4D space-time reservation (USPTO Application No. 19/551,620), and AACP — an AI aerial communication protocol with peer-to-peer negotiation and deterministic fallback resolution (USPTO Application No. 19/551,624), both filed February 27, 2026. Provenance: this whitepaper was first published at https://versky.org/whitepaper on 11 May 2026. The PDF deposited here was re-rendered on 5 July 2026 solely to correct a page-layout defect in the original PDF export (right-margin text clipping); the prose is unchanged from the 11 May 2026 publication. For the archival record: SHA-256 of the original (11 May) PDF artifact: 735143388bc944811ea6e7ee66a8af64d78792bc72c0080e68d59fa944bdb8a0; SHA-256 of this corrected file: 890936bd62eb31740d86062419b64b5a42dad91e7cb057510f55d40881fbb7ec. The protocol described herein is the subject of pending U.S. patent applications (Application Nos. 19/551,620 and 19/551,624), filed with the USPTO on February 27, 2026, and may be the subject of additional pending or future patent applications. This record is not an offer and grants no patent license, covenant, waiver, or other implementation right; the copyright license selected for this document does not grant patent rights. Statements in the whitepaper concerning future licensing, implementation, compatibility, or release plans are non-binding planning statements and are subject to change. Any commercial patent license would require a separate written agreement executed by the relevant rights holder. A reference implementation is planned; any applicable terms will be stated separately at https://versky.org. This whitepaper is descriptive and non-normative.","url":"https://doi.org/10.5281/zenodo.21512819","authors":["Prukpatarakul, Jittapol"],"tags":["air traffic management","UTM","low-altitude airspace","unmanned aircraft","eVTOL","airspace structure","altitude-direction encoding","hexagonal grid"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.21512819","addedAt":"2026-08-31T06:39:37.251Z","updatedAt":"2026-08-31T06:39:37.251Z"},{"id":"doi:10.5281/zenodo.21512820","name":"VerSky Protocol Whitepaper v1.0 — An Air Traffic Protocol for the Low-Altitude Century","source":"datacite","abstract":"Technical whitepaper for the VerSky protocol: an air traffic protocol for dense low-altitude (sub-500 m AGL) autonomous and semi-autonomous flight, comprising altitude-direction encoding within a hexagonal cell grid with per-cell capacity and 4D space-time reservation (USPTO Application No. 19/551,620), and AACP — an AI aerial communication protocol with peer-to-peer negotiation and deterministic fallback resolution (USPTO Application No. 19/551,624), both filed February 27, 2026. Provenance: this whitepaper was first published at https://versky.org/whitepaper on 11 May 2026. The PDF deposited here was re-rendered on 5 July 2026 solely to correct a page-layout defect in the original PDF export (right-margin text clipping); the prose is unchanged from the 11 May 2026 publication. For the archival record: SHA-256 of the original (11 May) PDF artifact: 735143388bc944811ea6e7ee66a8af64d78792bc72c0080e68d59fa944bdb8a0; SHA-256 of this corrected file: 890936bd62eb31740d86062419b64b5a42dad91e7cb057510f55d40881fbb7ec. The protocol described herein is the subject of pending U.S. patent applications (Application Nos. 19/551,620 and 19/551,624), filed with the USPTO on February 27, 2026, and may be the subject of additional pending or future patent applications. This record is not an offer and grants no patent license, covenant, waiver, or other implementation right; the copyright license selected for this document does not grant patent rights. Statements in the whitepaper concerning future licensing, implementation, compatibility, or release plans are non-binding planning statements and are subject to change. Any commercial patent license would require a separate written agreement executed by the relevant rights holder. A reference implementation is planned; any applicable terms will be stated separately at https://versky.org. This whitepaper is descriptive and non-normative.","url":"https://doi.org/10.5281/zenodo.21512820","authors":["Prukpatarakul, Jittapol"],"tags":["air traffic management","UTM","low-altitude airspace","unmanned aircraft","eVTOL","airspace structure","altitude-direction encoding","hexagonal grid"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.21512820","addedAt":"2026-08-31T06:39:37.251Z","updatedAt":"2026-08-31T06:39:37.251Z"},{"id":"doi:10.24406/publica-9327","name":"Development of a framework for the thermal modeling of an eVTOL","source":"datacite","abstract":"The vision of eVTOLs (electric vertical take-off and landing vehicles) aims to transport individuals autonomously in urban areas using electrically powered aircraft. The efficiency, and thus the operational range of these aircraft, is crucial for market introduction. However, battery capacity is limited, necessitating effective thermal management for power electronics, drive components, and cabin climatization. This project focuses on optimizing the thermal management of the overall architecture of an eVTOL to enhance efficiency and performance. The developed framework for thermal modeling enables simulation-based optimizations. The modeling structure considers components as well as the overall thermal system of an eVTOL. This framework includes detailed models of the cabin, cockpit, avionics bays, and battery zones, analyzing their specific thermal properties and interactions with one another. Various cooling strategies, including air and liquid circuits, are evaluated to meet the requirements for both indoor air quality and system components. Our findings indicate that increasing ventilation mass flows can significantly enhance thermal passenger comfort, thus meeting comfort requirements. Energy consumption analysis shows that compressor efficiency is critical for overall system performance. Optimizing the temperature difference between the evaporator and condenser can lead to reduced energy demand. This research highlights the necessity for an integrated thermal management approach in eVTOL design, paving the way for future experimental validation and optimization efforts.","url":"https://doi.org/10.24406/publica-9327","authors":["Matheis, Christina","Norrefeldt, Victor",":unav"],"tags":["Thermal management","modeling framework","eVTOL","optimization,","Modelica"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.24406/publica-9327","addedAt":"2026-08-31T06:39:37.251Z","updatedAt":"2026-08-31T06:39:37.251Z"},{"id":"doi:10.5281/zenodo.21321331","name":"DEVELOPMENT OF A DYNAMIC URBAN AIR MOBILITY SEPARATION  MODEL FOR HIGH TRAFFIC DENSITY OPERATIONS","source":"datacite","abstract":"This concept research paper explores the concept of Urban Air Mobility (UAM), focusing on its potential to revolutionize transportation systems in metropolitan areas. It examines the technological advancements enabling UAM, such as electric vertical takeoff and landing (eVTOL) aircraft, and evaluates the economic, environmental, and regulatory challenges associated with implementation. The study highlights opportunities for reducing traffic congestion, improving connectivity, and fostering sustainable urban growth, while also addressing safety, infrastructure, and policy considerations critical to its adoption","url":"https://doi.org/10.5281/zenodo.21321331","authors":["Njoroge, Stewart Kiragu"],"tags":["Advanced Air Mobility","Urban Air Mobility","eVTOL","Electric aviation"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.21321331","addedAt":"2026-08-31T06:39:37.251Z","updatedAt":"2026-08-31T06:39:43.696Z"},{"id":"doi:10.5281/zenodo.21321332","name":"DEVELOPMENT OF A DYNAMIC URBAN AIR MOBILITY SEPARATION  MODEL FOR HIGH TRAFFIC DENSITY OPERATIONS","source":"datacite","abstract":"This concept research paper explores the concept of Urban Air Mobility (UAM), focusing on its potential to revolutionize transportation systems in metropolitan areas. It examines the technological advancements enabling UAM, such as electric vertical takeoff and landing (eVTOL) aircraft, and evaluates the economic, environmental, and regulatory challenges associated with implementation. The study highlights opportunities for reducing traffic congestion, improving connectivity, and fostering sustainable urban growth, while also addressing safety, infrastructure, and policy considerations critical to its adoption","url":"https://doi.org/10.5281/zenodo.21321332","authors":["Njoroge, Stewart Kiragu"],"tags":["Advanced Air Mobility","Urban Air Mobility","eVTOL","Electric aviation"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.21321332","addedAt":"2026-08-31T06:39:37.251Z","updatedAt":"2026-08-31T06:39:43.695Z"},{"id":"doi:10.5281/zenodo.21318876","name":"A Systematic Review of Urban Air Mobility: Technologies, Challenges, and Future Directions","source":"datacite","abstract":"Urban Air Mobility (UAM) represents a transformative vision for metropolitan transportation, leveraging electric Vertical Take-Off and Landing (eVTOL) aircraft to offer rapid, on-demand mobility while addressing urban congestion and emissions. Despite a rapidly expanding body of research, a comprehensive synthesis that maps evidence across technological, operational, regulatory, and societal dimensions remains absent. This systematic review therefore aims to critically synthesize the existing evidence, evaluate the reported effectiveness of proposed solutions, and identify critical research gaps that hinder translation into policy and practice. We conducted the review following the PRISMA guidelines, employing a comprehensive search across multiple databases and a structured keyword strategy derived from the SPICE framework. Studies were included if they presented original research, systematic reviews, or well-documented case studies addressing at least one core UAM aspect, with full text in English. Two reviewers independently screened titles and abstracts, then assessed full texts, resolving disagreements through consensus. The synthesis reveals a fragmented landscape dominated by simulation-based optimization models for vertiport location, fleet sizing, and route planning, alongside stated-preference studies on public acceptance that highlight safety and noise concerns. A recurring theme is the interdependence of technological, operational, and societal factors, suggesting that successful UAM implementation requires a holistic, system-of-systems approach. We conclude that primary barriers are not solely technological but deeply intertwined with regulatory and societal challenges, and we identify a notable gap in empirical data on real-world operational performance and long-term sustainability. Future research must move toward integrated, multi-stakeholder frameworks to guide responsible scaling from niche applications to mainstream urban transportation.","url":"https://doi.org/10.5281/zenodo.21318876","authors":["Al-Shaar, Walid"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.21318876","addedAt":"2026-08-31T06:39:37.251Z","updatedAt":"2026-08-31T06:39:56.014Z"},{"id":"doi:10.5281/zenodo.21318875","name":"A Systematic Review of Urban Air Mobility: Technologies, Challenges, and Future Directions","source":"datacite","abstract":"Urban Air Mobility (UAM) represents a transformative vision for metropolitan transportation, leveraging electric Vertical Take-Off and Landing (eVTOL) aircraft to offer rapid, on-demand mobility while addressing urban congestion and emissions. Despite a rapidly expanding body of research, a comprehensive synthesis that maps evidence across technological, operational, regulatory, and societal dimensions remains absent. This systematic review therefore aims to critically synthesize the existing evidence, evaluate the reported effectiveness of proposed solutions, and identify critical research gaps that hinder translation into policy and practice. We conducted the review following the PRISMA guidelines, employing a comprehensive search across multiple databases and a structured keyword strategy derived from the SPICE framework. Studies were included if they presented original research, systematic reviews, or well-documented case studies addressing at least one core UAM aspect, with full text in English. Two reviewers independently screened titles and abstracts, then assessed full texts, resolving disagreements through consensus. The synthesis reveals a fragmented landscape dominated by simulation-based optimization models for vertiport location, fleet sizing, and route planning, alongside stated-preference studies on public acceptance that highlight safety and noise concerns. A recurring theme is the interdependence of technological, operational, and societal factors, suggesting that successful UAM implementation requires a holistic, system-of-systems approach. We conclude that primary barriers are not solely technological but deeply intertwined with regulatory and societal challenges, and we identify a notable gap in empirical data on real-world operational performance and long-term sustainability. Future research must move toward integrated, multi-stakeholder frameworks to guide responsible scaling from niche applications to mainstream urban transportation.","url":"https://doi.org/10.5281/zenodo.21318875","authors":["Al-Shaar, Walid"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.21318875","addedAt":"2026-08-31T06:39:37.251Z","updatedAt":"2026-08-31T06:39:56.014Z"},{"id":"doi:10.5281/zenodo.21312337","name":"One Threshold, One Physical State: A Fleet-Wide Stability Law for Drone and eVTOL Battery Packs","source":"datacite","abstract":"Electric vertical takeoff and landing aircraft impose a load their battery cannot refuse. The takeoff pulse must be delivered on demand, at full power, with people on board. The question that matters is not how much capacity a pack has left, but whether it can still absorb the load it is about to be asked to carry, and how long that will remain true. This paper applies a single stability law, Theta = I / R, to that question. I is the imposed load, taken as the takeoff current draw. R is the pack's capacity to absorb that load, measured as the reciprocal of its internal resistance. Both quantities are already present in any flight log. The instrument requires no additional sensor, no model training, no fitting, and no per-cell calibration. Run on the CMU eVTOL Battery Dataset, 22 real Sony-Murata VTC-6 cells cycled to failure on a real eVTOL mission profile, a single fleet-wide threshold Theta = 1.08 detected 9 of the 9 cells that reached end of life, with zero misses, at a median of 53 days of advance warning (range 8 to 73 days). The three cells that ended the test in the healthiest condition never alarmed at all. The central result is not the lead time. It is the consistency. Across every cell that alarmed, the alarm fired at a mean battery health of 87.2 percent with a standard deviation of 1.5 percent. Those cells were operated very differently from one another: ambient temperatures of 20, 30, and 35 degrees Celsius; cruise segments from 400 to 1000 seconds; different discharge powers, charge currents, and charge cutoff voltages; observed lives ranging from a few hundred cycles to well over two thousand. One threshold caught all of them at the same physical point in their decline. That is the distinction this paper argues for. A model learns a dataset and reproduces its statistics. A law reads a state, and reads it the same way regardless of how the system arrived there. The evidence presented here is that Theta = I / R behaves as the latter. An initial version of the detector, using the raw per-cycle resistance step, failed: it was noise-sensitive, produced seven spurious alarms, and missed one true end-of-life cell. That failure and its correction are reported in full, alongside all other limits. Paper 12 in a continuing series.","url":"https://doi.org/10.5281/zenodo.21312337","authors":["Speiser, Oren A. L."],"tags":["prognostics and health management","battery early warning","eVTOL","drone","state of health","internal resistance","lithium-ion","stability law"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.21312337","addedAt":"2026-08-31T06:39:37.251Z","updatedAt":"2026-08-31T06:39:37.251Z"},{"id":"doi:10.5281/zenodo.21312338","name":"One Threshold, One Physical State: A Fleet-Wide Stability Law for Drone and eVTOL Battery Packs","source":"datacite","abstract":"Electric vertical takeoff and landing aircraft impose a load their battery cannot refuse. The takeoff pulse must be delivered on demand, at full power, with people on board. The question that matters is not how much capacity a pack has left, but whether it can still absorb the load it is about to be asked to carry, and how long that will remain true. This paper applies a single stability law, Theta = I / R, to that question. I is the imposed load, taken as the takeoff current draw. R is the pack's capacity to absorb that load, measured as the reciprocal of its internal resistance. Both quantities are already present in any flight log. The instrument requires no additional sensor, no model training, no fitting, and no per-cell calibration. Run on the CMU eVTOL Battery Dataset, 22 real Sony-Murata VTC-6 cells cycled to failure on a real eVTOL mission profile, a single fleet-wide threshold Theta = 1.08 detected 9 of the 9 cells that reached end of life, with zero misses, at a median of 53 days of advance warning (range 8 to 73 days). The three cells that ended the test in the healthiest condition never alarmed at all. The central result is not the lead time. It is the consistency. Across every cell that alarmed, the alarm fired at a mean battery health of 87.2 percent with a standard deviation of 1.5 percent. Those cells were operated very differently from one another: ambient temperatures of 20, 30, and 35 degrees Celsius; cruise segments from 400 to 1000 seconds; different discharge powers, charge currents, and charge cutoff voltages; observed lives ranging from a few hundred cycles to well over two thousand. One threshold caught all of them at the same physical point in their decline. That is the distinction this paper argues for. A model learns a dataset and reproduces its statistics. A law reads a state, and reads it the same way regardless of how the system arrived there. The evidence presented here is that Theta = I / R behaves as the latter. An initial version of the detector, using the raw per-cycle resistance step, failed: it was noise-sensitive, produced seven spurious alarms, and missed one true end-of-life cell. That failure and its correction are reported in full, alongside all other limits. Paper 12 in a continuing series.","url":"https://doi.org/10.5281/zenodo.21312338","authors":["Speiser, Oren A. L."],"tags":["prognostics and health management","battery early warning","eVTOL","drone","state of health","internal resistance","lithium-ion","stability law"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.21312338","addedAt":"2026-08-31T06:39:37.251Z","updatedAt":"2026-08-31T06:39:37.251Z"},{"id":"doi:10.48550/arxiv.2607.06964","name":"End-to-End LLM Flight Planning with RAG-based Memory and Multi-modal Coach Agent","source":"datacite","abstract":"Bridging the gap between human pilot intent and autonomous flight operation is critical for real-world electric vertical takeoff and landing (eVTOL) aircraft deployment. Flight planning traditionally relies on classic algorithms that struggle to incorporate flexible human preferences. We present FRAMe, an End-to-End Large Language Model (LLM) Flight Planning tool with RAG-based Memory and Multi-modal Coach Agent. Our system integrates a planner LLM with a multi-modal coach agent and retrieval augmented generation (RAG)-based memory to generate flight plans that satisfy mission constraints while aligning with human flight operator preferences. We demonstrate the system in a range of real-world-inspired scenarios of varying difficulty levels. Across four LLMs, the full FRAMe system (RAG and coach) yields the highest validity for every planner (up to 93.8% aggregate, 99% on Easy scenarios for the strongest planner) and shifts preference-relevant metrics in the operator-favored direction where the metric has headroom. FRAMe signifies how advanced LLMs can be deployed for human-centric mission planning, translating natural language instructions into safe, efficient, and flexible flight routes. The code is available at: github.com/amin-tabrizian/FlightPlanningLLMs","url":"https://doi.org/10.48550/arxiv.2607.06964","authors":["Tabrizian, Amin","Aziz, Arsyi","Ullah, Aarifah","Ghazanfari, Mahyar","Razzaghi, Pouria","Wei, Peng"],"tags":["Robotics (cs.RO)","Artificial Intelligence (cs.AI)","FOS: Computer and information sciences"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.48550/arxiv.2607.06964","addedAt":"2026-08-31T06:39:37.251Z","updatedAt":"2026-08-31T06:39:38.600Z"},{"id":"doi:10.25394/pgs.29504705","name":"<b>RISK ASSESSMENT OF USING EVTOL</b><b>S </b><b> FOR MEDICAL </b><b>INTER-FACILITY TRANSPORT</b>","source":"datacite","abstract":"Aeromedical transport provides an essential service in the healthcare system by overcoming geographic barriers and expediting the process of receiving medical attention. The emerging Electric Vertical Takeoff and Landing (eVTOL) vehicles present potential applications for aeromedical services, yet their implementation into Emergency Medical Services (EMS) operations creates unknown safety challenges. This exploratory study examined current differences observed during 168,997 Helicopter Air Ambulance (HAA) medical inter-facility transports across a group of covariates and identified the anticipated operational safety risks associated with using Electric Vertical takeoff and landing (eVTOL) aircraft for medical inter-facility transport. The Exploratory Data Analysis (EDA) analysis of HAA medical inter-facility transports recorded in the National Emergency Medical Services during 2022 revealed differences in response and scene times during HAA medical inter-facility transports. Results from the EDA demonstrated significant statistical differences during the HAA activations in response and scene times for patient age, urbanicity levels, and time of day (p&lt;0.001). Interactions between age and reason for transport showed that trauma and general medical emergencies (p&lt;0.001) presented the longest response and scene times. Pediatric patients, those in wilderness areas, and activations at night consistently experienced longer response times (p&lt;0.001). During the Delphi-FMEA phase of this exploratory study, to evaluate the anticipated risks of using eVTOL vehicles for medical interfacility transports, a panel of 62 experts (attrition rate 23%) participated in semi-structured interviews and two iterative rounds, evaluating 10 potential hazards. The top five (5) risks prioritized by the panel of experts include “Uncontrolled or Unprepared Landing Zone” (RPN=288), “Collision with Drones or Other Low-Altitude Aircraft” (RPN=240), “Time Pressure and Mission Urgency” (RPN=210), “Controlled Flight Into Terrain (CFIT)” (RPN=200), and “Rotor Downwash Impact on Bystanders” (RPN=180). Across the Delphi-FMEA study, the severity dimension (W=0.65) showed moderate to strong levels of agreement (Kendall’s W&gt;0.50) while detectability and probability dimensions remained below the threshold. These findings of this exploratory study indicate that risks associated with eVTOL vehicles come from different areas of Socio-Technical Systems. Social, Technical, and Organizational. Mitigation strategies related to training, Air Traffic Management (ATM) capabilities, improvements on heliport and/or vertiport design, and certification programs, may assist in exploiting the benefits provided by the Advanced Air Mobility (AAM) concept of operations while addressing the safety challenges from introducing emerging technologies. This exploratory study contributes to ongoing efforts to integrate emerging eVTOL operations into public health and transportation infrastructures, as well as to the broader understanding of risks in air medical services.","url":"https://doi.org/10.25394/pgs.29504705","authors":["Gustavo Adolfo Sanchez Cortes"],"tags":["Air transportation and freight services","Logistics"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.25394/pgs.29504705","addedAt":"2026-08-31T06:39:37.251Z","updatedAt":"2026-08-31T06:39:37.251Z"},{"id":"doi:10.25394/pgs.29504705.v1","name":"<b>RISK ASSESSMENT OF USING EVTOL</b><b>S </b><b> FOR MEDICAL </b><b>INTER-FACILITY TRANSPORT</b>","source":"datacite","abstract":"Aeromedical transport provides an essential service in the healthcare system by overcoming geographic barriers and expediting the process of receiving medical attention. The emerging Electric Vertical Takeoff and Landing (eVTOL) vehicles present potential applications for aeromedical services, yet their implementation into Emergency Medical Services (EMS) operations creates unknown safety challenges. This exploratory study examined current differences observed during 168,997 Helicopter Air Ambulance (HAA) medical inter-facility transports across a group of covariates and identified the anticipated operational safety risks associated with using Electric Vertical takeoff and landing (eVTOL) aircraft for medical inter-facility transport. The Exploratory Data Analysis (EDA) analysis of HAA medical inter-facility transports recorded in the National Emergency Medical Services during 2022 revealed differences in response and scene times during HAA medical inter-facility transports. Results from the EDA demonstrated significant statistical differences during the HAA activations in response and scene times for patient age, urbanicity levels, and time of day (p&lt;0.001). Interactions between age and reason for transport showed that trauma and general medical emergencies (p&lt;0.001) presented the longest response and scene times. Pediatric patients, those in wilderness areas, and activations at night consistently experienced longer response times (p&lt;0.001). During the Delphi-FMEA phase of this exploratory study, to evaluate the anticipated risks of using eVTOL vehicles for medical interfacility transports, a panel of 62 experts (attrition rate 23%) participated in semi-structured interviews and two iterative rounds, evaluating 10 potential hazards. The top five (5) risks prioritized by the panel of experts include “Uncontrolled or Unprepared Landing Zone” (RPN=288), “Collision with Drones or Other Low-Altitude Aircraft” (RPN=240), “Time Pressure and Mission Urgency” (RPN=210), “Controlled Flight Into Terrain (CFIT)” (RPN=200), and “Rotor Downwash Impact on Bystanders” (RPN=180). Across the Delphi-FMEA study, the severity dimension (W=0.65) showed moderate to strong levels of agreement (Kendall’s W&gt;0.50) while detectability and probability dimensions remained below the threshold. These findings of this exploratory study indicate that risks associated with eVTOL vehicles come from different areas of Socio-Technical Systems. Social, Technical, and Organizational. Mitigation strategies related to training, Air Traffic Management (ATM) capabilities, improvements on heliport and/or vertiport design, and certification programs, may assist in exploiting the benefits provided by the Advanced Air Mobility (AAM) concept of operations while addressing the safety challenges from introducing emerging technologies. This exploratory study contributes to ongoing efforts to integrate emerging eVTOL operations into public health and transportation infrastructures, as well as to the broader understanding of risks in air medical services.","url":"https://doi.org/10.25394/pgs.29504705.v1","authors":["Gustavo Adolfo Sanchez Cortes"],"tags":["Air transportation and freight services","Logistics"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.25394/pgs.29504705.v1","addedAt":"2026-08-31T06:39:37.251Z","updatedAt":"2026-08-31T06:39:37.251Z"},{"id":"doi:10.5281/zenodo.21186194","name":"Multi-Disciplinary Design Optimization (MDO) of an Ultra-Lightweight  Spaceframe for Urban Air-Cabin Vehicles","source":"datacite","abstract":"Abstract Urban Air Mobility represents a transformative shift in modern transportation, demanding next-generation air-cabin vehicles that balance strict lightweight targets with rigorous structural safety, dynamic stability, and passenger comfort. This paper presents a comprehensive Multi-Disciplinary Design Optimization framework applied to the design of an ultra-lightweight spaceframe structure for urban air-cabin vehicles. The optimization framework integrates three key engineering disciplines: structural mechanics, noise, vibration, and harshness, and crashworthiness safety. By utilizing genetic algorithms coupled with surrogate modeling, the design variables—consisting of structural member profiles, wall thicknesses, and nodal joint coordinate locations—are optimized simultaneously. The optimization objectives focus on minimizing the total structural mass of the air-cabin spaceframe while satisfying design constraints related to torsional rigidity, minimum natural frequencies to avoid rotor resonance, and structural energy absorption during hard landing scenarios. The results demonstrate that the proposed multidisciplinary approach achieves a significant mass reduction compared to traditional sequential design methodologies while successfully meeting all safety and structural performance criteria. This research provides a robust design paradigm for accelerating the development of structurally efficient and safe vehicles for urban aerial transport. Keywords: Urban Air Mobility, Multi-Disciplinary Design Optimization, Spaceframe, Lightweight Structures, NVH, Crashworthiness 1. Introduction The rapid urbanization of global populations has placed unprecedented strain on ground-based transportation infrastructure, leading to severe traffic congestion, increased travel times, elevated levels of localized environmental emissions, and economic inefficiencies. To address these compounding challenges, the aerospace and automotive industries have converged on the concept of Urban Air Mobility. This novel paradigm relies on electric vertical takeoff and landing vehicles to utilize low-altitude airspace for on-demand passenger and cargo transport. Unlike conventional commercial aircraft that operate at high altitudes, connect distant cities, and require extensive runways, urban air-cabin vehicles must operate safely, frequently, and quietly within dense metropolitan environments. This unique operational envelope necessitates radical departures from classical aerospace design, demands advanced aerodynamic and structural efficiency, and requires highly controlled acoustic profiles. A critical challenge in the development of these vehicles is the design of the cabin's primary structural frame. The cabin must support the weight of the passengers, protect occupants from external environments, and integrate complex propulsion, flight control, and high-capacity battery systems, all while remaining exceptionally light. In the aerospace domain, structural mass is the ultimate penalty; every unit of mass saved directly translates to increased operational range, higher payload capacity, improved maneuverability, or reduced energy consumption. Traditional structural architectures, such as the semi-monocoque skins commonly used in commercial aviation, can be heavy, structurally redundant, and exceptionally difficult to optimize under the highly complex, multi-directional load paths typical of multi-rotor vertical-flight vehicles. Semi-monocoque structures rely on thin skins stabilized by longitudinal stringers and transverse frames, which perform exceptionally well under high pressurization and global bending but tend to degrade in structural efficiency when subjected to concentrated, multi-directional rotor thrust vectors and local impact loads. Spaceframe architectures, consisting of interconnected slender members arranged in three-dimensional geometric networks, present a highly efficient and structurally elegant alternative. They provide outst","url":"https://doi.org/10.5281/zenodo.21186194","authors":["Feroz R Doddamani"],"tags":["Urban Air Mobility, Multi-Disciplinary Design Optimization, Spaceframe, Lightweight Structures, NVH, Crashworthiness"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2023","doi":"10.5281/zenodo.21186194","addedAt":"2026-08-31T06:39:37.251Z","updatedAt":"2026-08-31T06:39:43.696Z"},{"id":"doi:10.5281/zenodo.21186193","name":"Multi-Disciplinary Design Optimization (MDO) of an Ultra-Lightweight  Spaceframe for Urban Air-Cabin Vehicles","source":"datacite","abstract":"Abstract Urban Air Mobility represents a transformative shift in modern transportation, demanding next-generation air-cabin vehicles that balance strict lightweight targets with rigorous structural safety, dynamic stability, and passenger comfort. This paper presents a comprehensive Multi-Disciplinary Design Optimization framework applied to the design of an ultra-lightweight spaceframe structure for urban air-cabin vehicles. The optimization framework integrates three key engineering disciplines: structural mechanics, noise, vibration, and harshness, and crashworthiness safety. By utilizing genetic algorithms coupled with surrogate modeling, the design variables—consisting of structural member profiles, wall thicknesses, and nodal joint coordinate locations—are optimized simultaneously. The optimization objectives focus on minimizing the total structural mass of the air-cabin spaceframe while satisfying design constraints related to torsional rigidity, minimum natural frequencies to avoid rotor resonance, and structural energy absorption during hard landing scenarios. The results demonstrate that the proposed multidisciplinary approach achieves a significant mass reduction compared to traditional sequential design methodologies while successfully meeting all safety and structural performance criteria. This research provides a robust design paradigm for accelerating the development of structurally efficient and safe vehicles for urban aerial transport. Keywords: Urban Air Mobility, Multi-Disciplinary Design Optimization, Spaceframe, Lightweight Structures, NVH, Crashworthiness 1. Introduction The rapid urbanization of global populations has placed unprecedented strain on ground-based transportation infrastructure, leading to severe traffic congestion, increased travel times, elevated levels of localized environmental emissions, and economic inefficiencies. To address these compounding challenges, the aerospace and automotive industries have converged on the concept of Urban Air Mobility. This novel paradigm relies on electric vertical takeoff and landing vehicles to utilize low-altitude airspace for on-demand passenger and cargo transport. Unlike conventional commercial aircraft that operate at high altitudes, connect distant cities, and require extensive runways, urban air-cabin vehicles must operate safely, frequently, and quietly within dense metropolitan environments. This unique operational envelope necessitates radical departures from classical aerospace design, demands advanced aerodynamic and structural efficiency, and requires highly controlled acoustic profiles. A critical challenge in the development of these vehicles is the design of the cabin's primary structural frame. The cabin must support the weight of the passengers, protect occupants from external environments, and integrate complex propulsion, flight control, and high-capacity battery systems, all while remaining exceptionally light. In the aerospace domain, structural mass is the ultimate penalty; every unit of mass saved directly translates to increased operational range, higher payload capacity, improved maneuverability, or reduced energy consumption. Traditional structural architectures, such as the semi-monocoque skins commonly used in commercial aviation, can be heavy, structurally redundant, and exceptionally difficult to optimize under the highly complex, multi-directional load paths typical of multi-rotor vertical-flight vehicles. Semi-monocoque structures rely on thin skins stabilized by longitudinal stringers and transverse frames, which perform exceptionally well under high pressurization and global bending but tend to degrade in structural efficiency when subjected to concentrated, multi-directional rotor thrust vectors and local impact loads. Spaceframe architectures, consisting of interconnected slender members arranged in three-dimensional geometric networks, present a highly efficient and structurally elegant alternative. They provide outst","url":"https://doi.org/10.5281/zenodo.21186193","authors":["Feroz R Doddamani"],"tags":["Urban Air Mobility, Multi-Disciplinary Design Optimization, Spaceframe, Lightweight Structures, NVH, Crashworthiness"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2023","doi":"10.5281/zenodo.21186193","addedAt":"2026-08-31T06:39:37.251Z","updatedAt":"2026-08-31T06:39:43.696Z"},{"id":"doi:10.5281/zenodo.21154929","name":"Моделювання, цифровий двійник та експериментальна верифікація когнітивної інформаційної технології підтримки життєвого циклу комплексу бортового обладнання інтегрованої модульної авіоніки","source":"datacite","abstract":"У роботі представлено результати розроблення комплексу моделей, методів і програмно-алгоритмічних ��асобів моделювання, цифрового двійника та експериментальної верифікації когнітивної інформаційної технології підтримки життєвого циклу комплексу бортового обладнання інтегрованої модульної авіоніки (ІМА). Інформаційна технологія поєднує онтологічне подання предметної області, граф знань, ієрархічні моделі надійності, цифровий двійник обчислювальної системи, моделі детермінованих мереж AFDX і TSN, нейросимвольні засоби діагностування, прогнозування технічного стану та знанняорієнтовану систему підтримки прийняття рішень. Запропоновано ієрархічну модель оцінювання надійності обчислювальних структур КБО ІМА, що інтегрує моделі резервування, політики відновлення ARINC 653, механізми health monitoring та відмови зі спільної причини. Розроблено формальну модель цифрового двійника з контуром синхронізації, регуляризованим калібруванням параметрів за експлуатаційною телеметрією, методикою віртуальних випробувань відмовостійкості та байєсівським оцінюванням невизначеності. Запропоновано аналітико-імітаційні моделі детермінованих мереж AFDX і TSN, що забезпечують оцінювання гарантованих затримок, джитера, похибок передачі та масштабованості мережевої архітектури. Розроблено інформаційну модель автоматизованої підтримки створення бортового програмного забезпечення відповідно до вимог DO-178C, DO-330, FACE/MOSA, а також структурно-логічну модель уніфікованого автоматизованого робочого місця перевірки конструктивно-функціональних модулів із поєднанням мажоритарної обробки вимірювань, моделей цифрового двійника та інтелектуального виявлення аномалій із пояснюваністю результатів. Проведено комплекс експериментальних досліджень на основі аналітичного та імітаційного моделювання, які підтвердили працездатність запропонованих моделей і методів. Отримані результати демонструють можливість підвищення точності прогнозування технічного стану, достовірності контролю, ефективності моделювання відмовостійкості, оптимізації мережевих рішень та забезпечення цифрової безперервності життєвого циклу ІМА. Окремо сформовано програму промислової верифікації із використанням експлуатаційної телеметрії та стендових випробувань для підтвердження отриманих результатів на реальних даних. Матеріали можуть бути використані під час проєктування, сертифікації, моделювання, експлуатації та модернізації сучасних комплексів бортового обладнання інтегрованої модульної авіоніки, розподілених архітектур DIMA, безпілотних авіаційних систем, платформ UAM/eVTOL і перспективних літальних апаратів концепції More Electric Aircraft.","url":"https://doi.org/10.5281/zenodo.21154929","authors":["Kovalenko, Yuliia"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.21154929","addedAt":"2026-08-31T06:39:37.251Z","updatedAt":"2026-08-31T06:39:37.251Z"},{"id":"doi:10.5281/zenodo.21154930","name":"Моделювання, цифровий двійник та експериментальна верифікація когнітивної інформаційної технології підтримки життєвого циклу комплексу бортового обладнання інтегрованої модульної авіоніки","source":"datacite","abstract":"У роботі представлено результати розроблення комплексу моделей, методів і програмно-алгоритмічних засобів моделювання, цифрового двійника та експериментальної верифікації когнітивної інформаційної технології підтримки життєвого циклу комплексу бортового обладнання інтегрованої модульної авіоніки (ІМА). Інформаційна технологія поєднує онтологічне подання предметної області, граф знань, ієрархічні моделі надійності, цифровий двійник обчислювальної системи, моделі детермінованих мереж AFDX і TSN, нейросимвольні засоби діагностування, прогнозування технічного стану та знанняорієнтовану систему підтримки прийняття рішень. Запропоновано ієрархічну модель оцінювання надійності обчислювальних структур КБО ІМА, що інтегрує моделі резервування, політики відновлення ARINC 653, механізми health monitoring та відмови зі спільної причини. Розроблено формальну модель цифрового двійника з контуром синхронізації, регуляризованим калібруванням параметрів за експлуатаційною телеметрією, методикою віртуальних випробувань відмовостійкості та байєсівським оцінюванням невизначеності. Запропоновано аналітико-імітаційні моделі детермінованих мереж AFDX і TSN, що забезпечують оцінювання гарантованих затримок, джитера, похибок передачі та масштабованості мережевої архітектури. Розроблено інформаційну модель автоматизованої підтримки створення бортового програмного забезпечення відповідно до вимог DO-178C, DO-330, FACE/MOSA, а також структурно-логічну модель уніфікованого автоматизованого робочого місця перевірки конструктивно-функціональних модулів із поєднанням мажоритарної обробки вимірювань, моделей цифрового двійника та інтелектуального виявлення аномалій із пояснюваністю результатів. Проведено комплекс експериментальних досліджень на основі аналітичного та імітаційного моделювання, які підтвердили працездатність запропонованих моделей і методів. Отримані результати демонструють можливість підвищення точності прогнозування технічного стану, достовірності контролю, ефективності моделювання відмовостійкості, оптимізації мережевих рішень та забезпечення цифрової безперервності життєвого циклу ІМА. Окремо сформовано програму промислової верифікації із використанням експлуатаційної телеметрії та стендових випробувань для підтвердження отриманих результатів на реальних даних. Матеріали можуть бути використані під час проєктування, сертифікації, моделювання, експлуатації та модернізації сучасних комплексів бортового обладнання інтегрованої модульної авіоніки, розподілених архітектур DIMA, безпілотних авіаційних систем, платформ UAM/eVTOL і перспективних літальних апаратів концепції More Electric Aircraft.","url":"https://doi.org/10.5281/zenodo.21154930","authors":["Kovalenko, Yuliia"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.21154930","addedAt":"2026-08-31T06:39:37.251Z","updatedAt":"2026-08-31T06:39:37.251Z"},{"id":"doi:10.13016/wuiq-7kh7","name":"State-Space Formulation and Analytical Linearization of a Viscous Vortex Particle Method for Flight Dynamics Applications","source":"datacite","abstract":"This dissertation presents a state-space formulation of a grid-free, wake-resolving aerodynamic method, developed to enable mid-fidelity aerodynamics to be incorporated directly into flight-dynamics and control analysis. In the hierarchy of rotorcraft aerodynamic models, the proposed approach occupies an intermediate position between low-order finite-state inflow models, which offer computational efficiency at the cost of physical fidelity, and grid-based computational fluid dynamics methods, which resolve complex flow physics but carry substantially higher computational cost. Conventional wake-resolving methods are typically cast as time-marching procedures, which restricts their compatibility with equilibrium analysis, systematic linearization, and control-oriented simulation frameworks. The present work addresses this limitation by reformulating a coupled panel and vortex particle method into a nonlinear state-space representation, in which wake evolution and induced velocities are treated as a unified set of dynamical states.Within this framework, linearized aerodynamic models are derived using both numerical perturbation and a novel analytical linearization approach, enabling efficient construction of linear models suitable for trim and stability analysis. The formulation is first validated for fixed-wing configurations by comparing results with DUST, an open-source aerodynamic solver, confirming the accuracy of the nonlinear model under steady and unsteady conditions. The linearized models show strong agreement with nonlinear responses to sinusoidal angle-of-attack perturbations in both time and frequency domains. The analytical linearization reduces the cost of constructing the linear model by O(n^2) relative to perturbation-based approaches, where n denotes the number of system states, while maintaining comparable accuracy. The formulation is subsequently extended to rotary-wing configurations, where wake dynamics are coupled with rotor motion. Validation against experimental data confirms that the method captures rotor wake behavior and radial load distribution with good agreement. That linearized models closely match the nonlinear response to collective doublet inputs. To improve scalability for large wake systems, the fast multipole method (FMM) is incorporated, reducing the cost of particle-particle interactions from O(Np^2) to O(Np), where Np denotes the number of vortex particles. Results indicate that octree construction and multipole evaluation introduce non-negligible overhead for small particle counts, while substantial computational savings are achieved for larger wake systems. Viscous diffusion is incorporated via the particle-strength exchange (PSE) scheme, which improves wake realism, reduces thrust overprediction, and preserves the efficiency of analytical linearization. The formulation is further extended to account for rotor operation in ground effect using the Method of Images. Finally, the aerodynamic formulation is coupled with GenMR, an in-house flight-dynamics and control framework, enabling a particle-based wake model to interact with rigid-body motion and control inputs within a unified simulation environment. Coupled simulations for representative configurations - including generic helicopter, tiltrotor, and electric vertical takeoff and landing (eVTOL) - demonstrate the method's capability to capture detailed wake dynamics within a flight-dynamics setting. Collectively, these developments establish a mid-fidelity aerodynamic framework suitable for integration within flight-dynamics simulations, and provide a foundation for future extensions to closed-loop flight simulation, aeroelastic modeling, and distributed-propulsion aircraft.","url":"https://doi.org/10.13016/wuiq-7kh7","authors":["Hussien, Hussien Adel Ahmed Hafez"],"tags":["Aerospace engineering","Applied mathematics","Applied physics","Analytical Linearization","Fast Multipole Method","Free Wake Modeling","Panel Method","Rotor Aerodynamics"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.13016/wuiq-7kh7","addedAt":"2026-08-31T06:39:37.251Z","updatedAt":"2026-08-31T06:39:37.251Z"},{"id":"doi:10.13016/kgbr-tufs","name":"Multifidelity Aeroacoustic Analysis of Quadrotor Biplane Tailsitter in Transition Flight","source":"datacite","abstract":"The rapid emergence of urban and regional air mobility has intensified the need for accurate prediction of the aerodynamic and acoustic behavior of novel eVTOL aircraft operating in maneuvering flight regimes. Despite recent advances, significant gaps remain in the understanding of aeroacoustic phenomena during transitional maneuvers involving strong component interactions. This work addresses these gaps through a detailed aeroacoustic investigation of an 80-lb quadrotor biplane tailsitter aircraft undergoing a climb-to-cruise transition. A realistic climb-to-cruise maneuver was developed using a nonlinear dynamic inversion flight-dynamics framework. The flight-dynamics model was tuned using mid-fidelity solver DUST, and then prescribed to our in-house, high-fidelity CFD framework, Mercury. The resulting 3.2-s transition trajectory and control history were evaluated using time-accurate simulations and compared against a reduced-cost quasi-steady methodology. High-fidelity rotor loads showed good agreement with the prescribed vehicle motion, while airframe load predictions highlighted the importance of further tuning the flight-dynamics model. Quasi-steady analysis was shown to reliably capture mean aircraft loads and broadband noise levels, with good but more limited agreement for unsteady loading and tonal noise predictions. Installation effects were found to play a critical role throughout the transition, particularly during low-speed, high-thrust conditions. In particular the isolated rotor system experienced strong rotor-rotor interactions in the absence of the airframe. Discrepancies between quasi-steady and time-accurate results increased during periods characterized by strong aerodynamic interactions and flow disturbances. Acoustically, tonal noise dominated the early portion of the maneuver, while broadband rotor noise became more influential later in the transition. A-weighted noise levels were initially driven by higher-frequency airframe tonal contributions before transitioning to rotor broadband dominance. Overall, the results demonstrate an efficient methodology for AAM transition flight high-fidelity aeroacoustic analysis. Quasi-steady analysis was found to be an efficient and reliable tool for predicting AAM aeroacoustic behavior during transitional flight, although more limited success was achieved predicting aircraft loads and tonal noise directivity during strong component interactions. This work establishes a foundation for future high-fidelity maneuver-based aeroacoustic analyses.","url":"https://doi.org/10.13016/kgbr-tufs","authors":["Arias Juarez, Paulo Tomas"],"tags":["Aerospace engineering","Acoustics","Advanced Air Mobility","Aerodynamics","Computational Fluid Dynamics","Rotorcraft"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.13016/kgbr-tufs","addedAt":"2026-08-31T06:39:37.251Z","updatedAt":"2026-08-31T06:39:43.696Z"},{"id":"doi:10.17605/osf.io/6qs9m","name":"UAM-HF/HCI Bibliometric Review: Replication Data","source":"datacite","abstract":"Urban Air Mobility (UAM) and electric Vertical Take-Off and Landing (eVTOL) aircraft are transitioning from concept to operation, with regulatory clearance, commercial deployment, and substantial public investment now visible across the United States, Europe, and the Gulf states. The pace of operational progress has outrun the consolidation of human factors and human-computer interaction (HCI) knowledge that the field's safe scaling will require. To map the current state of this literature and identify its frontiers, we conducted a bibliometric review of 86 Scopus and 64 Web of Science records returned by a structured query combining UAM and human-factors terms, supplemented by close reading of the top 15 most-cited papers and 5 thematic anchor papers. We used VOSviewer for keyword co-occurrence, author co-authorship, and co-citation analyses, and synthesized the resulting clusters with the close-read literature. Five empirically derived themes structure the field: trust in automation and interface design for safety, human-automation interaction and simplified vehicle operations, human-AI teaming for unpiloted operations, cognitive load and air traffic management for mixed fleets, and immersive training and simulation. We find that the literature is concentrated at NASA Langley and Purdue, dominated by aerospace conference venues rather than HCI journals, and bifurcated into research silos that do not yet collaborate across institutional boundaries. We discuss implications for HCI scholarship, training and workforce design, and international participation, and propose research gaps for the next decade of UAM human factors work.","url":"https://doi.org/10.17605/osf.io/6qs9m","authors":["Srinivasaprasad, Ashwini"],"tags":["Engineering"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.17605/osf.io/6qs9m","addedAt":"2026-08-31T06:39:37.251Z","updatedAt":"2026-08-31T06:39:56.014Z"},{"id":"doi:10.48577/jpl.kwhvrn","name":"Mars Aerial and Ground Global Intelligent Explorer (MAGGIE): Mission Feasibility Study","source":"datacite","abstract":"This paper conducts mission feasibility study for a novel global mobility Mars exploration platform: Mars Aerial and Ground Intelligent Explorer (MAGGIE). MAGGIE is a compact fixed wingaircraft with ultra-high productivity efficiency powered by solar energy to fly in the Martian atmosphere. It has vertical take-off/landing (VTOL) capability enabled by advanced deflected slipstream CoFlow Jet (CFJ) technology. MAGGIE is designed to have a gross weight of 125 kg, payload of 20 kg, wing span of 14.12 m, and a total range of 44,095 km for a one Martian year mission. It cruises at a Mach number of 0.17 at an altitude of 1000 m with the service ceiling of 12 km. CoFlow Jet (CFJ) Active Flow Control (AFC) would be the enabling technology to operate in Mars' low Reynolds number (Re &lt; 10^5) conditions with an ultra-high cruise lift coefficient of C_L = 3.24 and aerodynamic efficiency of 5.76. The critical hover-cruise transition enabled by deflected slipstream with CFJ in the Martian condition is proven to be achievable by a preliminary 2D unsteady simulation. It is also proven feasible to design a micro-compressor actuator (MCA) to fit inside of the CFJ-NACA6421 airfoil with a high efficiency of 70% in Mars' low Re conditions. Rocket launch and EDL (entry, descent, landing) for MAGGIE are feasible by using Atlas V, NASA's SLS (B2), or SpaceX Starship. Based on the survey of the science landscape conducted in this study, a potentially ground breaking representative mission enabled by the long range and high payload capacity of MAGGIE is developed to address four atmospheric and geophysical science objectives: 1) Determine the timing of the ancient Martian core dynamo; 2) Distinguish between competing hypotheses on the distribution of mid-latitude ice on Mars; 3) Localize sources of methane emission identified on the martian surface; 4) Characterize dynamics of the martian lower atmosphere. Compared with the state of the art Mars Science Helicopter, which would have a payload of 5 kgand a range of 100+ km/year at an altitude of 200 m, MAGGIE would span 10,000+ km areas with a payload of 20 kg, a cruise altitude of 1000 m, and a service ceiling (highest altitude) of 12,000 m to perform global scale, advanced science investigations in the air and on the ground. For comparison, an alternative aircraft (AA) using a conventional 10% thickness airfoil for a fixed wing eVTOL is designed with the same configuration as MAGGIE. The AA achieves excellent aerodynamic performance based on conventional criteria. However, the lift of the AA is not able to lift up its own structure weight on Mars. The alternative approaches are thus deemed infeasible. Overall, this study indicates that the MAGGIE concept and mission are feasible at the conceptual design level. It is the first concept to enable widespread exploration of the ancient southern highlands of Mars and would provide a substantial leap in capability for NASA's exploration of the Red Planet. The same technology can be used to design transportation vehicles on Mars for future manned mission and colonization. It can be also used to enhance the efficiency of VTOL aircraft on Earth. The full paper will include more detailed results and analysis and the outline for future work.","url":"https://doi.org/10.48577/jpl.kwhvrn","authors":["Mischna, Michael"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.48577/jpl.kwhvrn","addedAt":"2026-08-31T06:39:37.251Z","updatedAt":"2026-08-31T06:39:37.251Z"},{"id":"doi:10.48577/jpl.yqkjik","name":"Mars Aerial and Ground Global Intelligent Explorer (MAGGIE): Mission Feasibility Study","source":"datacite","abstract":"This paper conducts mission feasibility study for a novel global mobility Mars exploration platform: Mars Aerial and Ground Intelligent Explorer (MAGGIE). MAGGIE is a compact fixed wingaircraft with ultra-high productivity efficiency powered by solar energy to fly in the Martian atmosphere. It has vertical take-off/landing (VTOL) capability enabled by advanced deflected slipstream CoFlow Jet (CFJ) technology. MAGGIE is designed to have a gross weight of 125 kg, payload of 20 kg, wing span of 14.12 m, and a total range of 44,095 km for a one Martian year mission. It cruises at a Mach number of 0.17 at an altitude of 1000 m with the service ceiling of 12 km. CoFlow Jet (CFJ) Active Flow Control (AFC) would be the enabling technology to operate in Mars' low Reynolds number (Re &lt; 10^5) conditions with an ultra-high cruise lift coefficient of C_L = 3.24 and aerodynamic efficiency of 5.76. The critical hover-cruise transition enabled by deflected slipstream with CFJ in the Martian condition is proven to be achievable by a preliminary 2D unsteady simulation. It is also proven feasible to design a micro-compressor actuator (MCA) to fit inside of the CFJ-NACA6421 airfoil with a high efficiency of 70% in Mars' low Re conditions. Rocket launch and EDL (entry, descent, landing) for MAGGIE are feasible by using Atlas V, NASA's SLS (B2), or SpaceX Starship. Based on the survey of the science landscape conducted in this study, a potentially ground breaking representative mission enabled by the long range and high payload capacity of MAGGIE is developed to address four atmospheric and geophysical science objectives: 1) Determine the timing of the ancient Martian core dynamo; 2) Distinguish between competing hypotheses on the distribution of mid-latitude ice on Mars; 3) Localize sources of methane emission identified on the martian surface; 4) Characterize dynamics of the martian lower atmosphere. Compared with the state of the art Mars Science Helicopter, which would have a payload of 5 kgand a range of 100+ km/year at an altitude of 200 m, MAGGIE would span 10,000+ km areas with a payload of 20 kg, a cruise altitude of 1000 m, and a service ceiling (highest altitude) of 12,000 m to perform global scale, advanced science investigations in the air and on the ground. For comparison, an alternative aircraft (AA) using a conventional 10% thickness airfoil for a fixed wing eVTOL is designed with the same configuration as MAGGIE. The AA achieves excellent aerodynamic performance based on conventional criteria. However, the lift of the AA is not able to lift up its own structure weight on Mars. The alternative approaches are thus deemed infeasible. Overall, this study indicates that the MAGGIE concept and mission are feasible at the conceptual design level. It is the first concept to enable widespread exploration of the ancient southern highlands of Mars and would provide a substantial leap in capability for NASA's exploration of the Red Planet. The same technology can be used to design transportation vehicles on Mars for future manned mission and colonization. It can be also used to enhance the efficiency of VTOL aircraft on Earth. The full paper will include more detailed results and analysis and the outline for future work.","url":"https://doi.org/10.48577/jpl.yqkjik","authors":["Mischna, Michael"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.48577/jpl.yqkjik","addedAt":"2026-08-31T06:39:37.251Z","updatedAt":"2026-08-31T06:39:37.251Z"},{"id":"doi:10.13140/rg.2.2.15566.63040","name":"Technology overview of UAM-eVTOL (urban air mobility electric vertical take-off and landing) aircraft designs for aerial e-mobility","source":"datacite","abstract":"","url":"https://doi.org/10.13140/rg.2.2.15566.63040","authors":["Marzouk, Osama A."],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.13140/rg.2.2.15566.63040","addedAt":"2026-08-31T06:39:37.251Z","updatedAt":"2026-08-31T06:39:47.155Z"},{"id":"doi:10.5281/zenodo.20129893","name":"Power Margin Dominance in Heavy-Lift Electric VTOL Systems","source":"datacite","abstract":"This white paper introduces a Power Margin Ratio (PMR)-centered framework for analyzing heavy-lift electric VTOL feasibility. The paper argues that transient peak power availability during takeoff and climb—not total onboard stored energy—is the dominant governing constraint in many heavy-lift EVTOL architectures. The DCL-110 “Sunflower” architecture is presented as a conceptual systems-engineering response to this constraint through: centralized transient buffering, radial distributed energy storage, low-RPM large-disk propulsion, CG-centered payload geometry, and mission-phase-aware power management. The work establishes a systems-level architectural framework intended to support future experimental validation and heavy-lift EVTOL development.","url":"https://doi.org/10.5281/zenodo.20129893","authors":["Dominik, Matthew"],"tags":["heavy-lift EVTOL","VTOL systems","transient buffering","Power Margin Ratio","PMR","electric aircraft","distributed propulsion","multirotor systems"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.20129893","addedAt":"2026-08-31T06:39:37.251Z","updatedAt":"2026-08-31T06:39:37.251Z"},{"id":"doi:10.5281/zenodo.20129894","name":"Power Margin Dominance in Heavy-Lift Electric VTOL Systems","source":"datacite","abstract":"This white paper introduces a Power Margin Ratio (PMR)-centered framework for analyzing heavy-lift electric VTOL feasibility. The paper argues that transient peak power availability during takeoff and climb—not total onboard stored energy—is the dominant governing constraint in many heavy-lift EVTOL architectures. The DCL-110 “Sunflower” architecture is presented as a conceptual systems-engineering response to this constraint through: centralized transient buffering, radial distributed energy storage, low-RPM large-disk propulsion, CG-centered payload geometry, and mission-phase-aware power management. The work establishes a systems-level architectural framework intended to support future experimental validation and heavy-lift EVTOL development.","url":"https://doi.org/10.5281/zenodo.20129894","authors":["Dominik, Matthew"],"tags":["heavy-lift EVTOL","VTOL systems","transient buffering","Power Margin Ratio","PMR","electric aircraft","distributed propulsion","multirotor systems"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.20129894","addedAt":"2026-08-31T06:39:37.251Z","updatedAt":"2026-08-31T06:39:37.251Z"},{"id":"doi:10.48550/arxiv.2511.14887","name":"Transformer-Guided Deep Reinforcement Learning for Optimal Takeoff Trajectory Design of an eVTOL Drone","source":"datacite","abstract":"The rapid advancement of electric vertical takeoff and landing (eVTOL) aircraft offers a promising opportunity to alleviate urban traffic congestion but is still limited by excessive power demands, especially during the takeoff phase. Thus, developing optimal takeoff trajectories for minimum energy consumption becomes essential for broader eVTOL aircraft applications. Conventional optimal control methods (such as dynamic programming and linear quadratic regulator) provide highly efficient and well-established solutions but are prohibited by problem dimensionality and complexity. Deep reinforcement learning (DRL) emerges as a special type of artificial intelligence tackling complex, nonlinear systems; however, the training difficulty is a key bottleneck that hinders DRL applications. To address these challenges, we propose the transformer-guided DRL to alleviate the training difficulty by exploring a realistic state space at each time step using a transformer. The proposed transformer-guided DRL was demonstrated on an optimal takeoff trajectory design of an eVTOL drone for minimal energy consumption while meeting takeoff conditions (i.e., minimum vertical displacement and minimum horizontal velocity) by varying control variables (i.e., power and wing angle to the vertical). Results presented that the transformer-guided DRL agent learned to take off with $4.57\\times10^6$ time steps, representing $25\\%$ of the $19.79\\times10^6$ time steps needed by a vanilla DRL agent. In addition, the transformer-guided DRL achieved $97.2\\%$ accuracy on the optimal energy consumption compared against the simulation-based optimal reference, while the vanilla DRL achieved $96.1\\%$ accuracy. Therefore, the proposed transformer-guided DRL outperformed vanilla DRL in terms of both training efficiency and optimal design verification.","url":"https://doi.org/10.48550/arxiv.2511.14887","authors":["Roberts, Nathan M.","Du, Xiaosong"],"tags":["Machine Learning (cs.LG)","FOS: Computer and information sciences","FOS: Computer and information sciences"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.48550/arxiv.2511.14887","addedAt":"2026-08-31T06:39:37.251Z","updatedAt":"2026-08-31T06:39:37.251Z"},{"id":"doi:10.5281/zenodo.19699923","name":"Artificial Intelligence-Based Universal Communications (UNICOM) Advisory System for Non-Towered Airports — Defensive Publication","source":"datacite","abstract":"This defensive publication discloses a comprehensive Artificial Intelligence-Based Universal Communications (UNICOM) Advisory System designed for deployment at non-towered airports. The system combines fuzzy-logic inference and machine-learning (ML) models within a hybrid architecture to generate real-time, context-sensitive traffic advisories for pilots operating in uncontrolled airspace. Unlike deterministic rule-based systems that produce binary outputs (alert or no alert) based on fixed thresholds, the disclosed system generates graded, confidence-weighted advisories that adapt continuously to the full spectrum of operational conditions — including traffic density, conflict geometry, weather degradation, runway occupancy ambiguity, and non-standard traffic patterns. The system ingests multiple data streams — including Automatic Dependent Surveillance-Broadcast (ADS-B) position reports, Common Traffic Advisory Frequency (CTAF) audio processed through speech-to-text, weather sensor data (AWOS/ASOS or on-site instrumentation), and Notice to Air Missions (NOTAM) / Temporary Flight Restriction (TFR) feeds — and fuses them into a unified traffic and environmental picture. A fuzzy-logic subsystem applies approximately 150 expert-derived rules across linguistic variables representing traffic density, conflict proximity, convergence rate, weather severity, runway occupancy state, and pattern position conflict. Concurrently, machine-learning subsystems — including Long Short-Term Memory (LSTM) networks for trajectory prediction, gradient-boosted classifiers for conflict detection, isolation-forest anomaly detectors, and reinforcement-learning agents for advisory timing optimization — provide continuously valued inputs to the fuzzy inference engine. The system produces natural-language advisories using FAA-standard phraseology, delivered via VHF radio text-to-speech synthesis, digital datalink (FIS-B), or Electronic Flight Bag (EFB) application integration. Critically, the system is advisory-only: it does not issue air traffic control clearances or instructions, and it is designed to complement — not replace — existing CTAF/UNICOM self-announce procedures as described in FAA Advisory Circular 90-66C. Seven distinct physical embodiments are disclosed to maximize the scope of prior art established by this publication. This disclosure covers all novel aspects of fuzzy-ML hybrid inference for aviation traffic advisories, including specific membership function definitions, rule base structures, ML model architectures, integration patterns, and operational workflows.Version 2 (April 24th, 2026) adds a companion addendum document extending the original prior art disclosure with four new sections. Section 14 introduces a computer vision subsystem using multi-modal camera arrays (visible-spectrum, infrared, NIR, and PTZ) for aircraft detection, classification, and NORDO identification independent of ADS-B or radio communication. Section 15 extends the system to accommodate eVTOL, UAS/drone, and Advanced Air Mobility (AAM) vehicles, including Remote ID integration and a UTM interface. Section 16 defines a modular Communications Interface Abstraction Layer (CIAL) that decouples the advisory engine from any specific transport protocol, enabling future machine-to-machine communication for fully autonomous aircraft operations. Section 17 describes a progressive scalability path from single non-towered airport deployment through multi-airport networks, terminal area management, towered airport augmentation, en-route airspace advisory, and ultimately autonomous system-wide air traffic management. Twelve additional claims of novelty are disclosed.","url":"https://doi.org/10.5281/zenodo.19699923","authors":["Booker, Jeffrey David"],"tags":["defensive publication","prior art","non-towered airport","UNICOM","fuzzy logic","machine learning","ADS-B","traffic advisory"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.19699923","addedAt":"2026-08-31T06:39:37.251Z","updatedAt":"2026-08-31T06:39:38.600Z"},{"id":"doi:10.5281/zenodo.19738656","name":"Artificial Intelligence-Based Universal Communications (UNICOM) Advisory System for Non-Towered Airports — Defensive Publication","source":"datacite","abstract":"This defensive publication discloses a comprehensive Artificial Intelligence-Based Universal Communications (UNICOM) Advisory System designed for deployment at non-towered airports. The system combines fuzzy-logic inference and machine-learning (ML) models within a hybrid architecture to generate real-time, context-sensitive traffic advisories for pilots operating in uncontrolled airspace. Unlike deterministic rule-based systems that produce binary outputs (alert or no alert) based on fixed thresholds, the disclosed system generates graded, confidence-weighted advisories that adapt continuously to the full spectrum of operational conditions — including traffic density, conflict geometry, weather degradation, runway occupancy ambiguity, and non-standard traffic patterns. The system ingests multiple data streams — including Automatic Dependent Surveillance-Broadcast (ADS-B) position reports, Common Traffic Advisory Frequency (CTAF) audio processed through speech-to-text, weather sensor data (AWOS/ASOS or on-site instrumentation), and Notice to Air Missions (NOTAM) / Temporary Flight Restriction (TFR) feeds — and fuses them into a unified traffic and environmental picture. A fuzzy-logic subsystem applies approximately 150 expert-derived rules across linguistic variables representing traffic density, conflict proximity, convergence rate, weather severity, runway occupancy state, and pattern position conflict. Concurrently, machine-learning subsystems — including Long Short-Term Memory (LSTM) networks for trajectory prediction, gradient-boosted classifiers for conflict detection, isolation-forest anomaly detectors, and reinforcement-learning agents for advisory timing optimization — provide continuously valued inputs to the fuzzy inference engine. The system produces natural-language advisories using FAA-standard phraseology, delivered via VHF radio text-to-speech synthesis, digital datalink (FIS-B), or Electronic Flight Bag (EFB) application integration. Critically, the system is advisory-only: it does not issue air traffic control clearances or instructions, and it is designed to complement — not replace — existing CTAF/UNICOM self-announce procedures as described in FAA Advisory Circular 90-66C. Seven distinct physical embodiments are disclosed to maximize the scope of prior art established by this publication. This disclosure covers all novel aspects of fuzzy-ML hybrid inference for aviation traffic advisories, including specific membership function definitions, rule base structures, ML model architectures, integration patterns, and operational workflows.Version 2 (April 24th, 2026) adds a companion addendum document extending the original prior art disclosure with four new sections. Section 14 introduces a computer vision subsystem using multi-modal camera arrays (visible-spectrum, infrared, NIR, and PTZ) for aircraft detection, classification, and NORDO identification independent of ADS-B or radio communication. Section 15 extends the system to accommodate eVTOL, UAS/drone, and Advanced Air Mobility (AAM) vehicles, including Remote ID integration and a UTM interface. Section 16 defines a modular Communications Interface Abstraction Layer (CIAL) that decouples the advisory engine from any specific transport protocol, enabling future machine-to-machine communication for fully autonomous aircraft operations. Section 17 describes a progressive scalability path from single non-towered airport deployment through multi-airport networks, terminal area management, towered airport augmentation, en-route airspace advisory, and ultimately autonomous system-wide air traffic management. Twelve additional claims of novelty are disclosed.","url":"https://doi.org/10.5281/zenodo.19738656","authors":["Booker, Jeffrey David"],"tags":["defensive publication","prior art","non-towered airport","UNICOM","fuzzy logic","machine learning","ADS-B","traffic advisory"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.19738656","addedAt":"2026-08-31T06:39:37.251Z","updatedAt":"2026-08-31T06:39:38.600Z"},{"id":"doi:10.34657/33076","name":"KONKAV - Kosteneffiziente und nachhaltige Produktion von UAM und Kabinenmodulen","source":"datacite","abstract":"Der Bericht zeigt, dass Diehl Aerospace wesentliche Beiträge zur Entwicklung von Beleuchtungs- und Notstromlösungen für zukünftige UAM-/eVTOL-Kabinen geleistet hat. Ausgangspunkt waren ergonomische Kabinenkonzepte, aus denen zentrale Anforderungen wie geringes Gewicht, begrenzter Bauraum, reduzierte Blendung und hohe Integrationsfähigkeit abgeleitet wurden. Auf dieser Basis wurden verschiedene Systemarchitekturen für ein adaptives Lichtsystem untersucht und bewertet. Als bevorzugte Lösung wurde das \"Small Aircraft Lighting Terminal\" (SALT) entwickelt, da es eine flexible, skalierbare und weitgehend standardisierte Ansteuerung unterschiedlicher Lichtfunktionen ermöglicht. SALT wurde nicht nur konzeptionell ausgearbeitet, sondern auch als prototypisches Funktionsmuster mit Hardware, Gehäuse und Embedded Software aufgebaut. Ergänzend wurden innovative Leuchtentechnologien untersucht, darunter flexible 3D-biegbare Lichtlösungen, eine modulare Multifunktionsleuchte sowie kompakte Projektionssysteme. Dabei konnte die technische Machbarkeit aller drei Ansätze grundsätzlich nachgewiesen werden, auch wenn in einzelnen Bereichen noch Optimierungspotenzial besteht. Sämtliche Funktionsmuster wurden in einer transportablen Integrationsplattform zusammengeführt und im Zusammenspiel demonstriert. Im Bereich der Notstromversorgung konnte gezeigt werden, dass verteilte, selbstgepufferte Systeme für UAM-Anwendungen ein vielversprechender Ansatz sind. Darüber hinaus wurden geeignete Batteriezellen, Containment-Materialien und Verfahren zur Batteriezustandsdiagnose identifiziert, sodass eine belastbare Grundlage für die weitere Entwicklung und spätere industrielle Verwertung geschaffen wurde.","url":"https://doi.org/10.34657/33076","authors":["Richter, Martin","Lins, Bastian","Ettenhuber, Benjamin","Bühlmeyer, Daniel","Püttner, Doris","Grabmann, Jürgen","Frankerl, Peter","Wolff, Uwe"],"tags":["600 | Technik","UAM / eVTOL","Adaptives Lichtsystem","Flexible Lichttechnologien","Multifunktionsleuchte","Miniprojektion","Notstromversorgung","Batteriezustandsdiagnose"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.34657/33076","addedAt":"2026-08-31T06:39:37.251Z","updatedAt":"2026-08-31T06:39:37.251Z"},{"id":"doi:10.34657/24037","name":"Verbundvorhaben RPAS23-CP - Schlussbericht zum Teilvorhaben \"Entwicklung einer modularen, flexiblen Steuerungsplattform des Gesamtsystems A/C und Boden für den Einsatz in allen Lufträumen für RPAS/UAS vergleichbar der CS23 Flugzeugklasse\"","source":"datacite","abstract":"Cargo, Überwachung, Kommunikation und langfristig auch der Personentransport eröffnen neue Märkte für Remotely Piloted Aircraft Systems (RPAS). Der European ATM Masterplan enthält erstmals eine Roadmap für IFR-Operationen in allen Luftraumklassen A bis G. RPAS der CS23-Kategorie werden gemäß EASA Regulation 2019/945 in der Regel als \"certified\" eingestuft. Bisher verfügbare zivile Steuerungssysteme befinden sich überwiegend in der \"Open Category\" (MTOW &lt; 25 kg) oder sind experimentell, und daher in der Regel nicht redundant und vor allem nicht qualifiziert oder qualifizierbar. Das zentrale Ziel des Vorhabens bestand in der Erarbeitung und Validierung (einschließlich Flugerprobung) der Grundlagen für eine breit anwendbare und inkrementell zertifizierbare Steuerungsplattform auf Basis einer integrierten Architektur für hoch automatisierte RPAS in Flugzeugen äquivalent zur Kategorie CS23, einschließlich aller Nominal- und Notverfahren für IFR-Betrieb gemäß dem European ATM Masterplan. Grundlage bildet die Flexible Avionik Plattform mit AAA-Prozessansatz, die am Institut für Luftfahrtsysteme der Universität Stuttgart entwickelt und von der Aviotech GmbH weiterentwickelt und industrialisiert wurde. Im Rahmen dieses Vorhabens wurde eine integrierte RPAS Control Platform (RCP) entwickelt, bestehend aus einer Plattform im Flugzeug und einer Plattform in der Bodenstation. Es wurden alle Funktionen für die hoch automatisierte Flugplanung/Flugführung und das hoch automatisierte Vehicle Management ausgelegt, in die RCP implementiert und schließlich in einem CS23-Flugzeug (Cirrus SR22) integriert und im Fluge validiert. Mit Abschluss dieses Vorhabens ist Aviotech in der Lage, Steuerungssysteme für zu zertifizierende RPAS in sehr effizienter Weise zu entwickeln und zu zertifizieren. Die anvisierten Märkte für zertifizierte RPAS Anwendungen sind: a) RPAS der Kategorie CS23 als Cargo-UAV, b) RPAS der Kategorie CS23 oder CS25 für Spezialmissionen (Aufklärung, Beobachtung, Vermessung, Kommunikation), c) RPAS der General Aviation (CS23, eVTOL oder CS27) für unbemannten Personentransport (langfristig).","url":"https://doi.org/10.34657/24037","authors":["Hesse, Steffen","Hoffmann, Thorben"],"tags":["600 | Technik","Zertifizierbare Steuerungsplattform","RPAS","hoch-automatisiert","nicht-segregierter Luftraum","AAA-Prozess","Flexible Avionik Plattform","Autoflight Management"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.34657/24037","addedAt":"2026-08-31T06:39:37.251Z","updatedAt":"2026-08-31T06:39:37.251Z"},{"id":"doi:10.34657/24821","name":"Verbundvorhaben: Druckaufgeladene Brennstoffzellen im 250kW Antriebsstrang für ein Passagier-Flugzeug mit bis zu 4 Personen (Go4Hy2)","source":"datacite","abstract":"Die Forschungen im Projekt Go4Hy2 zielten auf die umfassende Entwicklung einer Antriebs-Systemtechnologie für ein emissionsfreies Wasserstoff-Brennstoffzellen-betriebenes Luft-Fahrzeug und die Evaluierung der Leistungsfähigkeit unter Luftfahrtbedingungen. Es sollte ein direkt-hybrider Antrieb für ein Passagier-Flugzeug mit bis zu 4 Personen entwickelt werden, der sich durch die direkte elektrische Kopplung zwischen den Energiequellen Brennstoffzelle und Batterie ohne zwischengeschalteten DC/DC-Wandler auszeichnet. Im Direkthybriden wird der Energiefluss über intelligente Schaltlogik gesteuert. Die Forschungs- und Entwicklungsarbeiten leisten einen wesentlichen Beitrag zur Versorgungssicherheit durch die Verwendung von Wasserstoff als Energieträger. Die zukünftige Markteinführung von wasserstoffbetriebenen PEM-Brennstoffzellen für emissionsfreie elektrische Antriebe in der Luftfahrt sollte exemplarisch am direkt-hybriden Antrieb vorangetrieben werden, wobei die aus dem Projekt abzuleitenden Beiträge zur Effizienzsteigerung sowie zur CO2-, NOx-, Schall- und Partikelemissionsreduktion auch auf andere verwandte Technologiefelder übertragen werden können. Hinsichtlich der für Fluganwendungen relevanten förderpolitische Ziele zum Zeitpunkt der Antragstellung sind die Langfristziele der Europäischen Kommission (ACARE 2020 u. 2050) und Flightpath 2050 (90% NOx, 75% CO2, 65% Noise) zu nennen. Die konkreten Ziele des Projekts Go4Hy2 waren, die Realisierung einer ausfallsicheren Antriebs-Systemtechnologie im 250 kW-Bereich mit einer ca. 2-3fach höheren Leistungsdichte, wobei der Vergleich zum Vorgängerprojekt Go4H2 gezogen wird (Leistungsklasse BZ-Batt-Hybrid: 100 kW, Leistungsdichte BZ-System aus Go4H2 bzw. deren Weiterentwicklung mit dem Stand der Technik von 2020: 0,25 kW/kg). Das neue Antriebssystem mit einem neuen BZ-System, das eine Bedruckung der Sauerstoffseite ermöglicht, sollte in Labor- und Feld-Tests unter flugrelevanten Bedingungen getestet werden. Weiterhin sollte die Skalierbarkeit dieses Systems im Hinblick auf größere Antriebssysteme der MW-Klasse bewertet werden. Zusätzlich sollte auch die Steuerung der Leistungsverteilungseinheit (PMCD) komplett auf flugzugelassener state-of-the-art IMA-Technologie (Integrated Modular Avionics) realisiert werden. Die geplanten F+E Arbeiten aller Partner im vorliegenden Projekt Go4Hy2 bauten auf die im Vorgängerprojekt Go4H2 und weiteren parallellaufenden Projekten entwickelten Technologien auf. In Go4Hy2 wurde speziell die aus dem Automotive-Bereich verfügbare PEM-Brennstoffzellen-Technologie mit der Möglichkeit einer Druckaufladung über einen Kompressor auf die Luftfahrtanwendung übertragen. Dazu wurden COTS-Systeme zunächst vermessen und für die Luftfahrtanwendung speziell angepasst. Die Vorgängerprojekte lieferten Basiswissen zu Systemlösungen und Redundanz, Kühlung, Batterie-Ladung etc. aus der Niederdruck-Brennstoffzellen-Technologie und dienten als Grundlage für die neuen Entwicklungen zur Leistungsklasse 250 kW und deren Integration in die Teststände. Insbesondere die Untersuchungen am EWS der Universität Ulm zum Betrieb von PEM-Brennstoffzellen unter wechselnden atmosphärischen Bedingungen stellten eine Herausforderung und einen hohen Neuheitswert dar. Im Bereich der Leistungselektronik und des Elektro-Motors sollten die Entwicklungsarbeiten von Rolls-Royce auf eine Verbesserung der Marktanwendung fokussiert werden. Ein vielseitig anwendbares Motorkonzept, das die Leistungsklasse 350 kW bedient und die Skalierbarkeit sowie zulassungstechnische Anforderungen sowie Redundanz berücksichtigte sowie die Nutzung als Antriebs-Generatoreinheit ermöglichte, sollten im vorliegenden Projekt im Vordergrund stehen. Ein weiteres Ziel war es, die Entwicklung des SiC-Umrichters bei Rolls-Royce speziell auf den Einsatz für Hybridsysteme auszurichten, jedoch auch eine flexible Anwendbarkeit für breit gefächerte Anwendungen zu berücksichtigen. Im Bereich der luftfahrtrelevanten Systemsteuerung so","url":"https://doi.org/10.34657/24821","authors":["Bauer, Christiane","Häming, Marc","Möhrmann, Daniel","Shamiyeh, Michael","Grebhardt, Axel","Murschenhofer, Dominik","Kaiser, Tobias"],"tags":["600 | Technik","500 | Naturwissenschaften","PEM-Brennstoffzelle","Brennstoffzellen-Batterie-Hybrid","Wasserstoffantrieb","Siliziumkarbid-Umrichter","Leistungselektronik","Elektroantrieb"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.34657/24821","addedAt":"2026-08-31T06:39:37.251Z","updatedAt":"2026-08-31T06:39:37.251Z"},{"id":"doi:10.17632/cs6ysrttvz.1","name":"Multi-Dimensional Evaluation of Urban Air Mobility of eVTOL Airspace Configurations to Optimize Operational Risk, Efficiency, and Capacity","source":"datacite","abstract":"Urban Air Mobility (UAM) is expected to enable high-density low-altitude operations of electric vertical take-off and landing (eVTOL) aircraft, but the associated risks depend strongly on the chosen urban airspace structure. This study applies an integrated Analytic Hierarchy Process (AHP). Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) approach to evaluate six airspace structure alternatives (Full Mix, Tubes, Zones, Layers, Corridors, and Skylanes) against nine risk-relevant criteria: operational risk (C1), security (C2), third-party risk (C3), time and energy efficiency (C4), social impact (C5), operating range (C6), accuracy requirements (C7), airspace utilization (C8), and airspace capacity (C9). AHP results show acceptable consistency (CR = 0.096) and indicate that accuracy requirements (w = 0.235) are the most influential criterion, followed by third-party risk (w = 0.173) and security (w = 0.157). TOPSIS ranking identifies layered airspace as the lowest-risk option (closeness coefficient = 0.433), followed by full-mix (0.188), skylanes (0.151), corridors (0.125), tubes (0.052), and zones (0.051). The findings suggest that structured airspace, particularly layered designs, provides stronger risk controllability for early-stage UAM deployment, while more flexible concepts require higher capability in navigation accuracy, monitoring, and enforcement to achieve comparable safety performance","url":"https://doi.org/10.17632/cs6ysrttvz.1","authors":["Hadi, Devie"],"tags":["Management","Civil Engineering","FOS: Civil engineering"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.17632/cs6ysrttvz.1","addedAt":"2026-08-31T06:39:37.251Z","updatedAt":"2026-08-31T06:39:37.251Z"},{"id":"doi:10.17632/cs6ysrttvz","name":"Multi-Dimensional Evaluation of Urban Air Mobility of eVTOL Airspace Configurations to Optimize Operational Risk, Efficiency, and Capacity","source":"datacite","abstract":"Urban Air Mobility (UAM) is expected to enable high-density low-altitude operations of electric vertical take-off and landing (eVTOL) aircraft, but the associated risks depend strongly on the chosen urban airspace structure. This study applies an integrated Analytic Hierarchy Process (AHP). Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) approach to evaluate six airspace structure alternatives (Full Mix, Tubes, Zones, Layers, Corridors, and Skylanes) against nine risk-relevant criteria: operational risk (C1), security (C2), third-party risk (C3), time and energy efficiency (C4), social impact (C5), operating range (C6), accuracy requirements (C7), airspace utilization (C8), and airspace capacity (C9). AHP results show acceptable consistency (CR = 0.096) and indicate that accuracy requirements (w = 0.235) are the most influential criterion, followed by third-party risk (w = 0.173) and security (w = 0.157). TOPSIS ranking identifies layered airspace as the lowest-risk option (closeness coefficient = 0.433), followed by full-mix (0.188), skylanes (0.151), corridors (0.125), tubes (0.052), and zones (0.051). The findings suggest that structured airspace, particularly layered designs, provides stronger risk controllability for early-stage UAM deployment, while more flexible concepts require higher capability in navigation accuracy, monitoring, and enforcement to achieve comparable safety performance","url":"https://doi.org/10.17632/cs6ysrttvz","authors":["Hadi, Devie"],"tags":["Management","Civil Engineering","FOS: Civil engineering"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.17632/cs6ysrttvz","addedAt":"2026-08-31T06:39:37.251Z","updatedAt":"2026-08-31T06:39:37.251Z"},{"id":"doi:10.5281/zenodo.19478745","name":"ASSESSING THE FEASIBILITY AND PASSENGER PERCEPTION TOWARDS URBAN AIR MOBILITY SOLUTIONS IN THE INDIAN ECOSYSTEM","source":"datacite","abstract":"Urban Air Mobility (UAM) has become a groundbreaking paradigm of transportation that can potentially set the stage in the solution to serious congestion issues in the world of metropolitan cities. UAM is an interesting option in India, where megacities have acute traffic congestion with losses in terms of economic and productivity. Electric Vertical Take-Off and Landing (eVTOL) aircraft is a promising alternative to the current condition. Nevertheless, the functionality of the UAM implementation and the willingness of Indian passengers to implement such services have not been studied extensively. This paper fills this gap by undertaking an extensive analysis on both feasibility aspects as well as passenger acceptability of UAM to the Indian ecosystem. The study is built on the works of the Technology Acceptance Model (TAM) and the Unified Theory of Acceptance and Use of Technology (UTAUT), making it a descriptive and exploratory study. A structured online questionnaire was used to obtain the primary data and interviewees were contacted in five major metropolitan cities such as Bengaluru, Mumbai, Delhi, Hyderabad, and Chennai. The results demonstrate that time- saving advantages and airport transfer applications are most endorsed by the potential users. The UAM awareness among the urban residents is not low, and the behavioral intention to use the service is promising. But, the perception of safety and faith in governmental regulations prove to be the most essential spheres that need to be discussed deliberately, and the mixed responses show that passengers are not sure of everything. The readiness to spend the considerable amount of time saved is strong, and the premium pricing approach will be supported, whereas the issue of noise and privacy seems to be not that acute as in the Western setting. The research hypothesis is of theoretical value as it can expand the theoretical frameworks of technology adoption to the conditions of emerging economies and can be used in the context of service design, regulatory involvement, and market entry approaches. The results indicate that the concept of integrated mobility tools that align ground transportation with UAM services provides a viable future of developing passenger trust and accelerating its implementation in India.","url":"https://doi.org/10.5281/zenodo.19478745","authors":["Nithin Aadithiyaa S R"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.19478745","addedAt":"2026-08-31T06:39:37.251Z","updatedAt":"2026-08-31T06:39:37.251Z"},{"id":"doi:10.5281/zenodo.19478744","name":"ASSESSING THE FEASIBILITY AND PASSENGER PERCEPTION TOWARDS URBAN AIR MOBILITY SOLUTIONS IN THE INDIAN ECOSYSTEM","source":"datacite","abstract":"Urban Air Mobility (UAM) has become a groundbreaking paradigm of transportation that can potentially set the stage in the solution to serious congestion issues in the world of metropolitan cities. UAM is an interesting option in India, where megacities have acute traffic congestion with losses in terms of economic and productivity. Electric Vertical Take-Off and Landing (eVTOL) aircraft is a promising alternative to the current condition. Nevertheless, the functionality of the UAM implementation and the willingness of Indian passengers to implement such services have not been studied extensively. This paper fills this gap by undertaking an extensive analysis on both feasibility aspects as well as passenger acceptability of UAM to the Indian ecosystem. The study is built on the works of the Technology Acceptance Model (TAM) and the Unified Theory of Acceptance and Use of Technology (UTAUT), making it a descriptive and exploratory study. A structured online questionnaire was used to obtain the primary data and interviewees were contacted in five major metropolitan cities such as Bengaluru, Mumbai, Delhi, Hyderabad, and Chennai. The results demonstrate that time- saving advantages and airport transfer applications are most endorsed by the potential users. The UAM awareness among the urban residents is not low, and the behavioral intention to use the service is promising. But, the perception of safety and faith in governmental regulations prove to be the most essential spheres that need to be discussed deliberately, and the mixed responses show that passengers are not sure of everything. The readiness to spend the considerable amount of time saved is strong, and the premium pricing approach will be supported, whereas the issue of noise and privacy seems to be not that acute as in the Western setting. The research hypothesis is of theoretical value as it can expand the theoretical frameworks of technology adoption to the conditions of emerging economies and can be used in the context of service design, regulatory involvement, and market entry approaches. The results indicate that the concept of integrated mobility tools that align ground transportation with UAM services provides a viable future of developing passenger trust and accelerating its implementation in India.","url":"https://doi.org/10.5281/zenodo.19478744","authors":["Nithin Aadithiyaa S R"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.19478744","addedAt":"2026-08-31T06:39:37.251Z","updatedAt":"2026-08-31T06:39:37.251Z"},{"id":"doi:10.48550/arxiv.2604.06093","name":"eVTOL Aircraft Energy Overhead Estimation under Conflict Resolution in High-Density Airspaces","source":"openalex","abstract":"Electric vertical takeoff and landing (eVTOL) aircraft operating in high-density urban airspace must maintain safe separation through tactical conflict resolution, yet the energy cost of such maneuvers has not been systematically quantified. This paper investigates how conflict-resolution maneuvers under the Modified Voltage Potential (MVP) algorithm affect eVTOL energy consumption. Using a physics-based power model integrated within a traffic simulation, we analyze approximately 71,767 en route sections within a sector, across traffic densities of 10-60 simultaneous aircraft. The main finding is that MVP-based deconfliction is energy-efficient: median energy overhead remains below 1.5% across all density levels, and the majority of en route flights within the sector incur negligible penalty. However, the distribution exhibits pronounced right-skewness, with tail cases reaching 44% overhead at the highest densities due to sustained multi-aircraft conflicts. The 95th percentile ranges from 3.84% to 5.3%, suggesting that a 4-5% reserve margin accommodates the vast majority of tactical deconfliction scenarios. To support operational planning, we develop a machine learning model that estimates energy overhead at mission initiation. Because conflict outcomes depend on future traffic interactions that cannot be known in advance, the model provides both point estimates and uncertainty bounds. These bounds are conservative; actual outcomes fall within the predicted range more often than the stated confidence level, making them suitable for safety-critical reserve planning. Together, these results validate MVP's suitability for energy-constrained eVTOL operations and provide quantitative guidance for reserve energy determination in Advanced Air Mobility.","url":"https://doi.org/10.48550/arxiv.2604.06093","authors":["Zongo, Alex","Wei, Peng","Alex B. Zongo","Peng Wei"],"tags":["Systems and Control (eess.SY)","Machine Learning (cs.LG)","Robotics (cs.RO)","FOS: Electrical engineering, electronic engineering, information engineering","FOS: Computer and information sciences","Overhead (engineering)","Range (aeronautics)","Takeoff","Energy (signal processing)","Percentile"],"confidence":0.72,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.48550/arxiv.2604.06093","addedAt":"2026-08-31T06:39:37.251Z","updatedAt":"2026-08-31T14:45:35.251Z"},{"id":"doi:10.13016/m2jtxu-bgqs","name":"Demand Modeling for Advanced Air Mobility: Challenges, Opportunities, and Future Directions","source":"datacite","abstract":"Advanced Air Mobility (AAM) has attracted increasing research and industry attention as a potential extension of passenger and cargo transportation systems, supported by developments in electric vertical take-off and landing (eVTOL) aircraft, autonomy, and integrated traffic management. Unlike conventional transportation systems, AAM presents unique challenges to demand modeling due to untested routes, new vehicle classes, and evolving user behavior. This paper conducts a comprehensive survey of demand modeling approaches relevant to AAM, encompassing econometric models, discrete choice frameworks, simulation-based approaches, machine learning techniques, and hybrid methods. Our evaluation focuses on four core modeling stages: trip generation, trip distribution, mode choice, and assignment. We further analyze the key factors influencing demand and assess their implications for model design and forecasting accuracy. Research gaps are identified in areas such as airspace routing, vertiport placement, capacity constraints, weather resilience, and community acceptance. To address these, we highlight the need for infrastructure-aware, behaviorally grounded, and real-time adaptive demand models. We outline future research opportunities including fine-grained temporal and spatial resolution, multimodal integration, induced demand representation, and equity considerations. By categorizing current methods and synthesizing emerging directions, this survey establishes a critical research agenda to guide policymakers, practitioners, and researchers in advancing robust and socially responsible AAM demand forecasting.","url":"https://doi.org/10.13016/m2jtxu-bgqs","authors":["Acharya, Kamal","Raza, Waleed","Vasiloff, Katherine","Wang, Zhenbo","Sun, Liang","Song, Houbing"],"tags":["air transportation","Random access memory","Advanced air mobility","transportation demand modeling and estimation","Biological system modeling","Active appearance model","Analytical models","Urban air mobility"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.13016/m2jtxu-bgqs","addedAt":"2026-08-31T06:39:37.251Z","updatedAt":"2026-08-31T06:39:37.251Z"},{"id":"doi:10.6084/m9.figshare.12135876","name":"Multiobjective Time and Control Effort Optimization of the Takeoff and Transition of a Bi-wing Tailsitter","source":"datacite","abstract":"Electric vertical takeoff and landing (eVTOL) aircraft are being actively developed by manyindustry and government research groups. These vehicles take advantage of distributed electricpropulsion as well as aerodynamic lifting surfaces to take off vertically and perform long-duration flights. We develop a method to find optimal trajectories for takeoff and transitionto aerodynamic flight for a two dimensional blown bi-wing. This method uses the vortexlattice method to model arbitrary aerodynamic surfaces, and performs direct collocation tointegrate the system dynamics through the trajectory. We find trajectories using two objectives:minimum time and minimum control effort; and perform a multiobjective optimization to findthe Pareto front that illustrates the trade-off between these two objectives.","url":"https://doi.org/10.6084/m9.figshare.12135876","authors":["Anderson, Ryan","Willis, Jacob B.","Johnson, Jacob"],"tags":["Aerospace engineering not elsewhere classified","Aircraft performance and flight control systems","Automation engineering","Control engineering","Autonomous vehicle systems"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2020","doi":"10.6084/m9.figshare.12135876","addedAt":"2026-08-31T06:39:37.251Z","updatedAt":"2026-08-31T06:39:37.251Z"},{"id":"doi:10.14279/depositonce-23659","name":"Feasibility study of current and emerging battery chemistries for electric vertical take-off and landing aircraft (eVTOL) applications","source":"datacite","abstract":"The feasibility of electric vertical take-off and landing aircraft (eVTOL) relies on high-performance batteries with elevated energy and power densities for long-distance flight. However, systemic evaluation of battery chemistries for eVTOLs remains limited. This paper fills this research gap through a comprehensive investigation of current and emerging battery technologies. First, the properties of current battery chemistries are benchmarked against eVTOL requirements, identifying nickel-rich lithium-ion batteries (LIB), such as NMC and NCA, as the best suited for this application. Through comparison of 300 commercial battery cells, the Molicel INR21700-P45B cell is identified as the best candidate. Among next-generation batteries, SiSu solid-state batteries (SSBs) emerge as the most promising alternative. The performance of these cells is evaluated using a custom eVTOL battery simulation model for two eVTOL aircraft: the Volocopter VoloCity and the Archer Midnight. Results indicate that the Molicel INR21700-P45B underperforms in high-load scenarios, with a state of charge (SoC) at the end of the flight below the 30% safety margin. Simulated SoC values for the SiSu cell remain above this threshold, reaching 64.9% for the VoloCity and 64.8% for the Midnight. These results highlight next-generation battery technologies for eVTOLs and demonstrate the potential of SSBs to enhance flight performance.","url":"https://doi.org/10.14279/depositonce-23659","authors":["Fay, Tu-Anh","Semmler, Fynn-Brian","Cigarini, Francesco","Göhlich, Dietmar"],"tags":["600 Technik, Medizin, angewandte Wissenschaften::620 Ingenieurwissenschaften::621 Angewandte Physik","electric vertical take-off and landing aircraft","eVTOL","electric aviation","urban air mobility","battery technology","battery simulation"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.14279/depositonce-23659","addedAt":"2026-08-31T06:39:37.251Z","updatedAt":"2026-08-31T06:39:37.251Z"},{"id":"doi:10.25439/rmt.27596523","name":"Intelligent navigation systems for autonomous vehicle operations in urban environments","source":"datacite","abstract":"The current airspace is in a state of transition with regards to the integration of Unmanned Aircraft System (UAS) operations. These operations have largely been segregated from manned aircraft up to this point. However, this is likely to change as more commercial applications and use-cases for UAS emerge. In response, the UAS Traffic Management (UTM) concept, a cooperative network which is complementary to Air Traffic Control (ATC) has emerged as a means to safely coordinate operations. The UTM evolution is structured into four distinct Technical Capability Levels (TCLs) characterized by successive progression from Visual Line Of Sight (VLOS) operations in scarcely populated areas to Beyond Visual Line Of Sight (BVLOS) operations in urban areas. The progression of the project is characterized by increasing scenario complexity and required autonomous capabilities. TCL4 is characterized by complex operations in densely populated urban areas. Apart from unmanned aircraft, the emergence of on-demand Urban Air Mobility (UAM) will also place increasing demands on the airspace by enabling highly automated, cooperative, passenger transport in urban areas. The realization of this concept is supported by the development of Distributed Electric Propulsion (DEP) and electric Vertical Take-Off and Landing (eVTOL) aircraft. Prototypes for multi-mode transport vehicles, i.e., vehicles that can operate in aerial and terrestrial modes, are also emerging. The safe integration of these agents in a shared, unsegregated airspace is contingent on the availability of reliable, high-performance Communication, Navigation and Surveillance (CNS) infrastructure to support safe separation from terrain and other aircraft. This thesis is specifically concerned with high-performance navigation to support operations in dense urban environments. High-performance navigation supports TCL4 functions such as Beyond Line of Sight (BLOS) command and control, large-scale contingency management, in-flight deconfliction and trajectory conformance monitoring. Within the automotive domain, there is a similar requirement for high-performance navigation with the advent of autonomous driving. Integrity, which is a measure of trust or reliability of the solution is one of the key performance measures of navigation systems owing to its Safety of Life (SoL) implications. In this thesis, an integrity-driven navigation system architecture is developed, which is generally applicable to aerial and ground vehicles. Ground vehicles are included within the scope of the work owing to the similarity of their operational domain with urban UAS, particularly with regard to navigation performance. For both aerial and terrestrial vehicles, positioning in urban environments is degraded owing to poor Global Navigation Satellite System (GNSS) performance. Therefore both use-cases require augmentation and/or alternative means of ensuring navigation performance. The developed system architecture comprises sensors that are well suited to low Size, Weight, Power and Cost (SWaP-C) platforms. This includes traditional sensing modalities such as Global Navigation Satellite System (GNSS) receivers and Inertial Navigation Systems (INS). Additionally, the growing maturity of computer vision algorithms presents the opportunity to include a Vision-Based Navigation (VBN) system to enhance system performance. Further, the state-estimation is aided by the use of a Vehicle Dynamics Model (VDM), which is essentially a knowledge-based module serving as a virtual 'sensor'. Both the VBN and VDM improve system performance and overall availability in GNSS-degraded conditions which are representative of urban environments. The system is divided into different modes or combinations of sensors. A methodology for propagating the overall system integrity requirements to sub-system and mode level is presented, along with conversion of the integrity requirements to mode-specific Protection Levels (PL). Additionally, a mo","url":"https://doi.org/10.25439/rmt.27596523","authors":["SURESH BIJJAHALLI, Suraj"],"tags":["Aircraft performance and flight control systems","Avionics","Flight dynamics"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.25439/rmt.27596523","addedAt":"2026-08-31T06:39:37.251Z","updatedAt":"2026-08-31T06:39:37.251Z"},{"id":"doi:10.25417/uic.29049899.v1","name":"Advanced Air Mobility: Feasibility Assessment for Metropolitan Logistics and Commuting","source":"datacite","abstract":"This thesis explores the potential of electric vertical takeoff and landing (eVTOL) aircraft for package delivery and commuting, assessing the operational feasibility, economic viability, and environmental impact of Advanced Air Mobility (AAM) systems. The first study examines eVTOL-based package delivery through a two-leg system design developed as a mixed-integer linear programming (MILP) model to optimize vertiport location selection, zone assignments, and eVTOL flight dispatching decisions. Applying the model to the Chicago metropolitan region, we assess the cost, energy consumption, and CO$_2$ emissions associated with eVTOL delivery compared to a ground-based delivery system, highlighting the significant impact of vehicle and system parameter choices on delivery efficiency. Policy recommendations are provided to support the adoption of eVTOL-based delivery solutions. The second study assesses AAM for commuter transport between a suburban and central business district. A Service Network Design Problem (SNDP) is developed by incorporating a time-expanded network framework to optimize AAM operations, including in-service flights, eVTOL relocations, charging, holding, and vertiport capacity constraints while considering passenger time windows. This study models the complete commuter journey, from first- to last-mile connections, and applies the optimization model to the Chicago metropolitan region using commuter demand data from the Longitudinal Employer-Household Dynamics (LEHD) Origin-Destination Employment Statistics (LODES) dataset. Feasibility is analyzed against auto commuting, focusing on daily operating costs, travel time savings, energy use, and CO$_2$ emissions. Key system parameters, operational constraints, and vehicle choices impact cost-effectiveness and environmental outcomes, offering insights into policy measures to support early AAM adoption in metropolitan regions.","url":"https://doi.org/10.25417/uic.29049899.v1","authors":["Perez, Daniel"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.25417/uic.29049899.v1","addedAt":"2026-08-31T06:39:37.251Z","updatedAt":"2026-08-31T06:39:37.251Z"},{"id":"doi:10.25417/uic.29049899","name":"Advanced Air Mobility: Feasibility Assessment for Metropolitan Logistics and Commuting","source":"datacite","abstract":"This thesis explores the potential of electric vertical takeoff and landing (eVTOL) aircraft for package delivery and commuting, assessing the operational feasibility, economic viability, and environmental impact of Advanced Air Mobility (AAM) systems. The first study examines eVTOL-based package delivery through a two-leg system design developed as a mixed-integer linear programming (MILP) model to optimize vertiport location selection, zone assignments, and eVTOL flight dispatching decisions. Applying the model to the Chicago metropolitan region, we assess the cost, energy consumption, and CO$_2$ emissions associated with eVTOL delivery compared to a ground-based delivery system, highlighting the significant impact of vehicle and system parameter choices on delivery efficiency. Policy recommendations are provided to support the adoption of eVTOL-based delivery solutions. The second study assesses AAM for commuter transport between a suburban and central business district. A Service Network Design Problem (SNDP) is developed by incorporating a time-expanded network framework to optimize AAM operations, including in-service flights, eVTOL relocations, charging, holding, and vertiport capacity constraints while considering passenger time windows. This study models the complete commuter journey, from first- to last-mile connections, and applies the optimization model to the Chicago metropolitan region using commuter demand data from the Longitudinal Employer-Household Dynamics (LEHD) Origin-Destination Employment Statistics (LODES) dataset. Feasibility is analyzed against auto commuting, focusing on daily operating costs, travel time savings, energy use, and CO$_2$ emissions. Key system parameters, operational constraints, and vehicle choices impact cost-effectiveness and environmental outcomes, offering insights into policy measures to support early AAM adoption in metropolitan regions.","url":"https://doi.org/10.25417/uic.29049899","authors":["Perez, Daniel"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.25417/uic.29049899","addedAt":"2026-08-31T06:39:37.251Z","updatedAt":"2026-08-31T06:39:37.251Z"},{"id":"doi:10.25417/uic.26107162.v1","name":"System Design and Operations of Package Delivery with Crowdshipping and Advanced Air Mobility","source":"datacite","abstract":"This dissertation presents methodological studies on designing, modeling, and evaluating of package delivery systems that employ crowdshipping- and Advanced Air Mobility (AAM) inspired electric Vertical Takeoff and Landing (eVTOL) aircraft-based delivery. This involves developing optimization models and scalable solution methods for crowdshipping and eVTOL-based package delivery systems for large-scale real-world applications as a substitute for traditional truck-based delivery systems. Three studies are presented where the first study focuses on crowdshipping for last-mile delivery, and the second and third studies focus on eVTOL-based middle-mile to last-mile delivery. The first study proposes a Deep Reinforcement Learning (DRL)-based approach to the dynamic on-demand crowdshipping-based last-mile delivery problem in which requests constantly arrive in a crowdshipping system for pickup and delivery. The pickup and delivery of requests are handled by crowdsourcees, who are everyday individuals participating in the crowdshipping system. They allocate their varying and limited time and carrying capacity to perform crowdshipping tasks. In exchange, they receive compensation from the delivery service provider, who regularly assigns requests to crowdsourcees throughout the day to minimize shipping expenses. To train DRL agents, algorithms based on Heuristics-embedded Deep Q-Networks are employed, incorporating both double and dueling structures. To tackle the hard constraints pertaining to crowdsourcee and request time windows, three new constraint-handling strategies are proposed and integrated into the DRL training and testing. An extensive numerical experiment is conducted to demonstrate the superiority and scalability of the DRL-based approach over other traditional methods while keeping a very small and acceptable optimality gap. The second study proposes an innovative package delivery system using eVTOL aircraft as a substitute for trucks to carry freight from a warehouse to vertiports that are close to the final destinations of the requests in a metro region. In using eVTOLs for delivery, a particular concern is the associated noise that will generate negative impacts on neighborhoods surrounding the vertiports where eVTOLs take off and land. A generalizable method is proposed to estimate the community noise impact. The estimated community noise impact is integrated into an integer programming model to seek the optimal eVTOL schedules and vertiport choice while meeting package delivery demand, with the objective of simultaneously minimizing shipping cost and community noise impact. To solve this bi-objective problem, a customized solution method which builds on and extends the non-dominated sorting genetic algorithm is developed. The implementation of the model with the solution method is demonstrated in a case study of package delivery to the north suburbs of the Chicago metro region. Due to the spatial and temporal variation of the population in neighborhoods surrounding vertiports, minimizing the total community noise impact for large-scale eVTOL operations in close proximity to households may result in a disproportionate distribution of community noise impact among different communities. To mitigate this, the third study of this dissertation formulates an inter-community noise equity metric considering the number of flights scheduled at each vertiport and the percentage of the population affected by eVTOL noise depending on the eVTOL arrival time. This inter-community noise equity metric is designed to be used as a regulatory measure to enforce the delivery service provider to schedule its flights maintaining an equitable distribution of service. The mixed integer programming model proposed in this study considers that the eVTOLs are able to visit multiple vertiports in one route provided that the flying range and carrying capacity permit while maintaining a prespecified inter-community noise equity. A hybrid algorithmi","url":"https://doi.org/10.25417/uic.26107162.v1","authors":["Farazi, Nahid Parvez"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.25417/uic.26107162.v1","addedAt":"2026-08-31T06:39:37.251Z","updatedAt":"2026-08-31T06:39:37.251Z"},{"id":"doi:10.25417/uic.26107162","name":"System Design and Operations of Package Delivery with Crowdshipping and Advanced Air Mobility","source":"datacite","abstract":"This dissertation presents methodological studies on designing, modeling, and evaluating of package delivery systems that employ crowdshipping- and Advanced Air Mobility (AAM) inspired electric Vertical Takeoff and Landing (eVTOL) aircraft-based delivery. This involves developing optimization models and scalable solution methods for crowdshipping and eVTOL-based package delivery systems for large-scale real-world applications as a substitute for traditional truck-based delivery systems. Three studies are presented where the first study focuses on crowdshipping for last-mile delivery, and the second and third studies focus on eVTOL-based middle-mile to last-mile delivery. The first study proposes a Deep Reinforcement Learning (DRL)-based approach to the dynamic on-demand crowdshipping-based last-mile delivery problem in which requests constantly arrive in a crowdshipping system for pickup and delivery. The pickup and delivery of requests are handled by crowdsourcees, who are everyday individuals participating in the crowdshipping system. They allocate their varying and limited time and carrying capacity to perform crowdshipping tasks. In exchange, they receive compensation from the delivery service provider, who regularly assigns requests to crowdsourcees throughout the day to minimize shipping expenses. To train DRL agents, algorithms based on Heuristics-embedded Deep Q-Networks are employed, incorporating both double and dueling structures. To tackle the hard constraints pertaining to crowdsourcee and request time windows, three new constraint-handling strategies are proposed and integrated into the DRL training and testing. An extensive numerical experiment is conducted to demonstrate the superiority and scalability of the DRL-based approach over other traditional methods while keeping a very small and acceptable optimality gap. The second study proposes an innovative package delivery system using eVTOL aircraft as a substitute for trucks to carry freight from a warehouse to vertiports that are close to the final destinations of the requests in a metro region. In using eVTOLs for delivery, a particular concern is the associated noise that will generate negative impacts on neighborhoods surrounding the vertiports where eVTOLs take off and land. A generalizable method is proposed to estimate the community noise impact. The estimated community noise impact is integrated into an integer programming model to seek the optimal eVTOL schedules and vertiport choice while meeting package delivery demand, with the objective of simultaneously minimizing shipping cost and community noise impact. To solve this bi-objective problem, a customized solution method which builds on and extends the non-dominated sorting genetic algorithm is developed. The implementation of the model with the solution method is demonstrated in a case study of package delivery to the north suburbs of the Chicago metro region. Due to the spatial and temporal variation of the population in neighborhoods surrounding vertiports, minimizing the total community noise impact for large-scale eVTOL operations in close proximity to households may result in a disproportionate distribution of community noise impact among different communities. To mitigate this, the third study of this dissertation formulates an inter-community noise equity metric considering the number of flights scheduled at each vertiport and the percentage of the population affected by eVTOL noise depending on the eVTOL arrival time. This inter-community noise equity metric is designed to be used as a regulatory measure to enforce the delivery service provider to schedule its flights maintaining an equitable distribution of service. The mixed integer programming model proposed in this study considers that the eVTOLs are able to visit multiple vertiports in one route provided that the flying range and carrying capacity permit while maintaining a prespecified inter-community noise equity. A hybrid algorithmi","url":"https://doi.org/10.25417/uic.26107162","authors":["Farazi, Nahid Parvez"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.25417/uic.26107162","addedAt":"2026-08-31T06:39:37.251Z","updatedAt":"2026-08-31T06:39:37.251Z"},{"id":"doi:10.25417/uic.23661879.v1","name":"Development of an Engineered Simulation Environment for eVTOL Battery Pack Optimization","source":"datacite","abstract":"Advanced air mobility (AAM) is a broad concept that allows consumers to access on-demand air mobility, cargo and package delivery, healthcare applications, and emergency services via a multimodal transportation network that is integrated and connected. Newly developed electric Vertical Takeoff and Landing vehicles (eVTOL) are the best candidates to serve the AAM market demand. Several well-known aircraft manufacturers, including Airbus, Boeing, and Bell, as well as new startups, have begun developing flying prototypes of electric Vertical Takeoff and Landing vehicles (eVTOL) all over the world. The realization of the aviation dream depends on public perception of its safety, similar to how people currently view flying on a commercial airplane. That is the Federal Aviation Administration’s (FAA) responsibility to ensure that this new generation of air taxis maintains the high level of safety that characterizes modern aviation. Batteries, the energy sources, are the backbone of eVTOLs. With the rise of electric vehicles (EV), the last decade has seen remarkable advancements in battery technology, particularly in Li-ion batteries (LiBs). However, when compared to EVs, eVTOLs have distinct operating profiles and, as a result, drastically different battery requirements. Research on eVTOL batteries is still limited, only a few papers have examined eVTOL battery performance metrics [1,2] and experimental work has not been reported until recently [3]. To ensure safe and dependable operations, eVTOL battery packs must provide adequate electrical power for mission requirements while maintaining pack health and cycle life over hundreds of missions. Nevertheless, because of the magnitude of eVTOL battery pack stored energy, cost, and explosive nature of packs undergoing thermal runaway, testing the performances over time of different pack design configurations is impractical and inefficient. On the other hand, the use of a simulation model will allow many scenarios to be tested virtually prior to physical testing and manufacturing [4]. While different simulation models regarding EVs are widely present in literature [5-7], in the area of eVTOL, the research is in an embryonal phase. Generating accurate battery pack degradation models for this new technology is challenging especially due to the deficiency of experimental data to validate the models. Harrison et al [5] described the process of developing a physical model to represent the battery pack of an eVTOL vehicle from a multi-physics standpoint by integrating the battery pack's electric, thermal, and fluid physics domains to predict realistic pack performance over a flight profile. Bills et al [8] used a physics-informed battery performance model based on machine learning to break the commonly observed accuracy-computing cost trade-off. Liu et al [9] analyzed a simplified electrothermal model that explicitly considers the effects of the aircraft's operating temperature and payload in the simulation. Brenner et al [10] provided eVTOL analysis capabilities that allow for improved designs in terms of mission range, operational capabilities, and flight safety. However, it appears that there is a lack in the literature regarding physics-based electrochemical modeling of battery pack integrated into an eVTOL simulation model. The proposed study successfully used a physics-based model technique to predict the degradation of a generic eVTOL battery pack. The integration of electrochemical, electrical, and mechanical aspects of technology into a unified model was achieved with the aid of GT-SUITE software. This simulation software is extensively employed in multiple industries and provides engineers with diverse functionalities to design, analyze, optimize, and troubleshoot a broad range of systems, subsystems, and components. Initially, a comprehensive model for an eVTOL system was developed. Next, the battery pack of the eVTOL was modeled, using a Pseudo-2-Dimensional (P2D) physics-based mod","url":"https://doi.org/10.25417/uic.23661879.v1","authors":["Mastrogiorgio, Massimiliano"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2023","doi":"10.25417/uic.23661879.v1","addedAt":"2026-08-31T06:39:37.251Z","updatedAt":"2026-08-31T06:39:37.251Z"},{"id":"doi:10.25417/uic.23661879","name":"Development of an Engineered Simulation Environment for eVTOL Battery Pack Optimization","source":"datacite","abstract":"Advanced air mobility (AAM) is a broad concept that allows consumers to access on-demand air mobility, cargo and package delivery, healthcare applications, and emergency services via a multimodal transportation network that is integrated and connected. Newly developed electric Vertical Takeoff and Landing vehicles (eVTOL) are the best candidates to serve the AAM market demand. Several well-known aircraft manufacturers, including Airbus, Boeing, and Bell, as well as new startups, have begun developing flying prototypes of electric Vertical Takeoff and Landing vehicles (eVTOL) all over the world. The realization of the aviation dream depends on public perception of its safety, similar to how people currently view flying on a commercial airplane. That is the Federal Aviation Administration’s (FAA) responsibility to ensure that this new generation of air taxis maintains the high level of safety that characterizes modern aviation. Batteries, the energy sources, are the backbone of eVTOLs. With the rise of electric vehicles (EV), the last decade has seen remarkable advancements in battery technology, particularly in Li-ion batteries (LiBs). However, when compared to EVs, eVTOLs have distinct operating profiles and, as a result, drastically different battery requirements. Research on eVTOL batteries is still limited, only a few papers have examined eVTOL battery performance metrics [1,2] and experimental work has not been reported until recently [3]. To ensure safe and dependable operations, eVTOL battery packs must provide adequate electrical power for mission requirements while maintaining pack health and cycle life over hundreds of missions. Nevertheless, because of the magnitude of eVTOL battery pack stored energy, cost, and explosive nature of packs undergoing thermal runaway, testing the performances over time of different pack design configurations is impractical and inefficient. On the other hand, the use of a simulation model will allow many scenarios to be tested virtually prior to physical testing and manufacturing [4]. While different simulation models regarding EVs are widely present in literature [5-7], in the area of eVTOL, the research is in an embryonal phase. Generating accurate battery pack degradation models for this new technology is challenging especially due to the deficiency of experimental data to validate the models. Harrison et al [5] described the process of developing a physical model to represent the battery pack of an eVTOL vehicle from a multi-physics standpoint by integrating the battery pack's electric, thermal, and fluid physics domains to predict realistic pack performance over a flight profile. Bills et al [8] used a physics-informed battery performance model based on machine learning to break the commonly observed accuracy-computing cost trade-off. Liu et al [9] analyzed a simplified electrothermal model that explicitly considers the effects of the aircraft's operating temperature and payload in the simulation. Brenner et al [10] provided eVTOL analysis capabilities that allow for improved designs in terms of mission range, operational capabilities, and flight safety. However, it appears that there is a lack in the literature regarding physics-based electrochemical modeling of battery pack integrated into an eVTOL simulation model. The proposed study successfully used a physics-based model technique to predict the degradation of a generic eVTOL battery pack. The integration of electrochemical, electrical, and mechanical aspects of technology into a unified model was achieved with the aid of GT-SUITE software. This simulation software is extensively employed in multiple industries and provides engineers with diverse functionalities to design, analyze, optimize, and troubleshoot a broad range of systems, subsystems, and components. Initially, a comprehensive model for an eVTOL system was developed. Next, the battery pack of the eVTOL was modeled, using a Pseudo-2-Dimensional (P2D) physics-based mod","url":"https://doi.org/10.25417/uic.23661879","authors":["Mastrogiorgio, Massimiliano"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2023","doi":"10.25417/uic.23661879","addedAt":"2026-08-31T06:39:37.251Z","updatedAt":"2026-08-31T06:39:37.251Z"},{"id":"doi:10.25394/pgs.29695526.v1","name":"A Study of Aircraft Scheduling and Routing for Urban Air Mobility Service","source":"datacite","abstract":"Urban air mobility (UAM) is an emerging transportation system involving electric vertical-takeoff-and-landing (eVTOL) aircraft that operate with compatible infrastructure such as airports and heliports, collectively referred to as aerodromes. These eVTOL aircraft carry passengers around metropolitan areas, with the intent of reducing travel times for these passengers compared to other modes of transport.UAM service models can be categorized into on-demand and schedule-based.An on-demand UAM service would likely manifest as an aerial extension of current ground ride-hailing services (e.g., Uber and Lyft), involving ride requests from customers in real-time. On the other hand, a schedule-based UAM service is bound to a fixed timetable of flights and may be similar to a commercial airline, involving less dynamic pricing than an on-demand service.Another abstraction for scheduled UAM service might look more like a rapid-transit service (e.g., subway or bus rapid transit) with aircraft regularly departing all aerodromes in the network on a regular and predictable schedule.Most existing UAM literature focuses on on-demand service; however, timetable-bound UAM operations may be a feasible alternative for a profit-seeking UAM operator if the schedule meets sufficient passenger demand, because this may reduce the number of unprofitable deadhead flights required to satisfy demand for an on-demand UAM service model.This study takes steps towards a realistic model of scheduled UAM operations by adapting airline scheduling and aircraft fleet routing methods to scheduled UAM operations and then uses these adapted methods to investigate a potential UAM operator providing scheduled UAM services in a small three-aerodrome network serving the Chicago metropolitan area across both the commercial-airline-like and the rapid-transit-like models.In the commercial-airline-like model, a maximum-aerodrome-throughput-based schedule design determines a timetable of four-passenger UAM flights informed by potential daily demand for UAM services, followed by a tail number assignment problem employing a minimum-cost flow formulation to assign aircraft throughout the network and generate deadheads as necessary to meet this demand.Attention is paid to the relative frequency of deadhead flights required to satisfy all demand and whether aircraft-on-ground (AOG) capacity constraints are violated.In the rapid-transit-like model, general travel demand patterns inform service frequencies, while aircraft fly on designated service routings, forming an air-based equivalent to a rapid transit service.Both these approaches to modeling scheduled UAM services demonstrate that AOG capacity constraints are never violated across all aerodromes over the entire simulation period of 24 hours. These approaches employ demand-driven scheduling and network flow-based aircraft routing in similar fashion to commercial airline planning, with UAM-specific adaptations that include a smaller vehicle size, greater operational tempo, and tighter aerodrome constraints.Given the experiment choices and modeling assumptions applied across both scheduled UAM service models, the commercial-airline-like model was found to carry more passengers with fewer empty flights and fewer flights overall, which may bode well for a UAM operator's operating revenue while decreasing operating costs. The rapid-transit-like service, on the other hand, requires a slightly smaller fleet of aircraft, allowing for acquisition cost savings, but has a substantially larger relative frequency of costly deadhead flights compared to the commercial-airline-like model, and does not carry as many passengers.These results are influenced by model design choices, such as the four-passenger UAM heuristic in the commercial-airline-like model.Additional modeling efforts, such as by employing a full branch-and-price formulation for the tail number assignment problem, relaxing the strict four-passenger UAM heuristic, and introducing","url":"https://doi.org/10.25394/pgs.29695526.v1","authors":["Edsel, Adler"],"tags":["Aerospace engineering not elsewhere classified"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.25394/pgs.29695526.v1","addedAt":"2026-08-31T06:39:37.251Z","updatedAt":"2026-08-31T06:39:37.251Z"},{"id":"doi:10.25394/pgs.29695526","name":"A Study of Aircraft Scheduling and Routing for Urban Air Mobility Service","source":"datacite","abstract":"Urban air mobility (UAM) is an emerging transportation system involving electric vertical-takeoff-and-landing (eVTOL) aircraft that operate with compatible infrastructure such as airports and heliports, collectively referred to as aerodromes. These eVTOL aircraft carry passengers around metropolitan areas, with the intent of reducing travel times for these passengers compared to other modes of transport.UAM service models can be categorized into on-demand and schedule-based.An on-demand UAM service would likely manifest as an aerial extension of current ground ride-hailing services (e.g., Uber and Lyft), involving ride requests from customers in real-time. On the other hand, a schedule-based UAM service is bound to a fixed timetable of flights and may be similar to a commercial airline, involving less dynamic pricing than an on-demand service.Another abstraction for scheduled UAM service might look more like a rapid-transit service (e.g., subway or bus rapid transit) with aircraft regularly departing all aerodromes in the network on a regular and predictable schedule.Most existing UAM literature focuses on on-demand service; however, timetable-bound UAM operations may be a feasible alternative for a profit-seeking UAM operator if the schedule meets sufficient passenger demand, because this may reduce the number of unprofitable deadhead flights required to satisfy demand for an on-demand UAM service model.This study takes steps towards a realistic model of scheduled UAM operations by adapting airline scheduling and aircraft fleet routing methods to scheduled UAM operations and then uses these adapted methods to investigate a potential UAM operator providing scheduled UAM services in a small three-aerodrome network serving the Chicago metropolitan area across both the commercial-airline-like and the rapid-transit-like models.In the commercial-airline-like model, a maximum-aerodrome-throughput-based schedule design determines a timetable of four-passenger UAM flights informed by potential daily demand for UAM services, followed by a tail number assignment problem employing a minimum-cost flow formulation to assign aircraft throughout the network and generate deadheads as necessary to meet this demand.Attention is paid to the relative frequency of deadhead flights required to satisfy all demand and whether aircraft-on-ground (AOG) capacity constraints are violated.In the rapid-transit-like model, general travel demand patterns inform service frequencies, while aircraft fly on designated service routings, forming an air-based equivalent to a rapid transit service.Both these approaches to modeling scheduled UAM services demonstrate that AOG capacity constraints are never violated across all aerodromes over the entire simulation period of 24 hours. These approaches employ demand-driven scheduling and network flow-based aircraft routing in similar fashion to commercial airline planning, with UAM-specific adaptations that include a smaller vehicle size, greater operational tempo, and tighter aerodrome constraints.Given the experiment choices and modeling assumptions applied across both scheduled UAM service models, the commercial-airline-like model was found to carry more passengers with fewer empty flights and fewer flights overall, which may bode well for a UAM operator's operating revenue while decreasing operating costs. The rapid-transit-like service, on the other hand, requires a slightly smaller fleet of aircraft, allowing for acquisition cost savings, but has a substantially larger relative frequency of costly deadhead flights compared to the commercial-airline-like model, and does not carry as many passengers.These results are influenced by model design choices, such as the four-passenger UAM heuristic in the commercial-airline-like model.Additional modeling efforts, such as by employing a full branch-and-price formulation for the tail number assignment problem, relaxing the strict four-passenger UAM heuristic, and introducing","url":"https://doi.org/10.25394/pgs.29695526","authors":["Edsel, Adler"],"tags":["Aerospace engineering not elsewhere classified"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.25394/pgs.29695526","addedAt":"2026-08-31T06:39:37.251Z","updatedAt":"2026-08-31T06:39:37.251Z"},{"id":"doi:10.25394/pgs.28883366.v1","name":"CONCEPTUAL DESIGN OF LARGE ELECTRIC VERTICAL TAKE-OFF AND LANDING AIRCRAFT FOR URBAN AIR MOBILITY OPERATIONS","source":"datacite","abstract":"The rapid growth of urban populations and increasing congestion in surface transportation have driven the need for innovative mobility solutions. Urban Air Mobility (UAM) is proposed as a promising alternative to ground-based transportation, leveraging novel electric Vertical Takeoff and Landing aircraft (eVTOL) to provide fast point-to-point travel in metropolitan areas. Market analysis studies show the potential for greater ridership—and possibly greater profitability—through the deployment of larger eVTOL aircraft than those currently being designed and going through the certification process (typically 4-passenger aircraft), particularly in metro areas with large populations and significant road congestion. This thesis considers the Chicago, IL area as a case study to examine the market potential for such larger eVTOL aircraft. While designing any aircraft is inherently complex, eVTOLs present a distinct set of challenges. Not only are they unconventionally powered—relying on electric propulsion instead of traditional fuel-based systems—but they also integrate features from both rotorcraft and fixed-wing aircraft, leading to novel aerodynamic and structural trade-offs. Designing large eVTOLs also poses unique challenges that differ from their smaller counterparts, particularly due to the absence of historical data to inform sizing predictors, such as empty weight fractions, drag coefficients, and propulsion efficiency. Unlike conventional aircraft, large eVTOLs lack established baselines, making early-phase design and feasibility assessments highly uncertain. This amplifies the complexity of integrating aerodynamics, distributed propulsion, mission planning, and certification pathways into a coherent, scalable design. This thesis presents a computational framework for the conceptual design of large eVTOL aircraft tailored to UAM operations. At a high level, the framework combines passenger trip generation and ridesharing modeling with advanced aerodynamic and energy system analyses. A prop-rotor design module using Blade Element Momentum Theory (BEMT) is coupled with optimization routines to explore rotor sizing and power loading characteristics. Battery-sizing is performed using an energy-based approach that accounts for peak power discharge rates and pack-level safety constraints, while mission profiles include times required to transition from vertical lift to forward flight from flight test data of Archer Aviation’s Midnight aircraft. A regression model was trained on public eVTOL data to estimate empty weight ratios based on MTOW, disk loading, and configuration variables. A design of experiments (DoE) approach guided exploration of the eVTOL design space for a 19-passenger aircraft. Using a full-factorial approach, the sizing approach developed here evaluated 450 different design points, seeking the lightest weight design that meets performance and operating constraints. Based on the modeling framework and assumptions employed in this thesis, wing loading emerged as a key design variable influencing overall weight trends. Higher wing loading generally corresponded to reduced takeoff weight, though it is constrained by stall speed and aspect ratio requirements. Given the relatively short cruise segment assumed for this vehicle, performance during takeoff, hover, and landing becomes particularly critical. Furthermore, the design was found to be sensitive to the number and sizing of prop-rotors, with disk loading and power loading playing significant roles. These sensitivities were observed to be highly dependent on the vehicles overall configuration, underscoring the importance of integrated design exploration.Given the limited fidelity of the initial sizing approach used in this thesis, the results suggest that a 19-passenger eVTOL aircraft with a 50-mile design range appears feasible under the specified assumptions. To account for the inherent uncertainty in the estimation of empty weight fraction and parasite drag—k","url":"https://doi.org/10.25394/pgs.28883366.v1","authors":["Biswas, Somrick Das"],"tags":["Aerospace engineering not elsewhere classified"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.25394/pgs.28883366.v1","addedAt":"2026-08-31T06:39:37.251Z","updatedAt":"2026-08-31T06:39:37.251Z"},{"id":"doi:10.25394/pgs.28883366","name":"CONCEPTUAL DESIGN OF LARGE ELECTRIC VERTICAL TAKE-OFF AND LANDING AIRCRAFT FOR URBAN AIR MOBILITY OPERATIONS","source":"datacite","abstract":"The rapid growth of urban populations and increasing congestion in surface transportation have driven the need for innovative mobility solutions. Urban Air Mobility (UAM) is proposed as a promising alternative to ground-based transportation, leveraging novel electric Vertical Takeoff and Landing aircraft (eVTOL) to provide fast point-to-point travel in metropolitan areas. Market analysis studies show the potential for greater ridership—and possibly greater profitability—through the deployment of larger eVTOL aircraft than those currently being designed and going through the certification process (typically 4-passenger aircraft), particularly in metro areas with large populations and significant road congestion. This thesis considers the Chicago, IL area as a case study to examine the market potential for such larger eVTOL aircraft. While designing any aircraft is inherently complex, eVTOLs present a distinct set of challenges. Not only are they unconventionally powered—relying on electric propulsion instead of traditional fuel-based systems—but they also integrate features from both rotorcraft and fixed-wing aircraft, leading to novel aerodynamic and structural trade-offs. Designing large eVTOLs also poses unique challenges that differ from their smaller counterparts, particularly due to the absence of historical data to inform sizing predictors, such as empty weight fractions, drag coefficients, and propulsion efficiency. Unlike conventional aircraft, large eVTOLs lack established baselines, making early-phase design and feasibility assessments highly uncertain. This amplifies the complexity of integrating aerodynamics, distributed propulsion, mission planning, and certification pathways into a coherent, scalable design. This thesis presents a computational framework for the conceptual design of large eVTOL aircraft tailored to UAM operations. At a high level, the framework combines passenger trip generation and ridesharing modeling with advanced aerodynamic and energy system analyses. A prop-rotor design module using Blade Element Momentum Theory (BEMT) is coupled with optimization routines to explore rotor sizing and power loading characteristics. Battery-sizing is performed using an energy-based approach that accounts for peak power discharge rates and pack-level safety constraints, while mission profiles include times required to transition from vertical lift to forward flight from flight test data of Archer Aviation’s Midnight aircraft. A regression model was trained on public eVTOL data to estimate empty weight ratios based on MTOW, disk loading, and configuration variables. A design of experiments (DoE) approach guided exploration of the eVTOL design space for a 19-passenger aircraft. Using a full-factorial approach, the sizing approach developed here evaluated 450 different design points, seeking the lightest weight design that meets performance and operating constraints. Based on the modeling framework and assumptions employed in this thesis, wing loading emerged as a key design variable influencing overall weight trends. Higher wing loading generally corresponded to reduced takeoff weight, though it is constrained by stall speed and aspect ratio requirements. Given the relatively short cruise segment assumed for this vehicle, performance during takeoff, hover, and landing becomes particularly critical. Furthermore, the design was found to be sensitive to the number and sizing of prop-rotors, with disk loading and power loading playing significant roles. These sensitivities were observed to be highly dependent on the vehicles overall configuration, underscoring the importance of integrated design exploration.Given the limited fidelity of the initial sizing approach used in this thesis, the results suggest that a 19-passenger eVTOL aircraft with a 50-mile design range appears feasible under the specified assumptions. To account for the inherent uncertainty in the estimation of empty weight fraction and parasite drag—k","url":"https://doi.org/10.25394/pgs.28883366","authors":["Biswas, Somrick Das"],"tags":["Aerospace engineering not elsewhere classified"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.25394/pgs.28883366","addedAt":"2026-08-31T06:39:37.251Z","updatedAt":"2026-08-31T06:39:37.251Z"},{"id":"doi:10.25394/pgs.19487765.v1","name":"Automated Contingency Management for Passenger-Carrying Urban Air Mobility Operations","source":"datacite","abstract":"As Urban Air Mobility (UAM) is developed and brought into fruition via electric vertical takeoff and landing (eVTOL) vehicles, contingencies associated with this new distributed electric propulsion technology in metropolitan areas must be considered. On the state of knowledge on contingencies for eVTOL vehicles, these can be Epistemological Risks or Ontological Risks. Epistemological Risks include known-knowns (probabilistic risks) and known-unknowns (gaps in knowledge). Ontological Risks include, unknown-knowns (hidden knowledge), unknown-unknowns (fog of ignorance). As UAM operations at large scale do not have as much historical accidents data as General Aviation or Commercial Aviation, it is challenging to estimate its accident failure rate per 100,000 flight hours. While battery thermal runaway, battery energy uncertainty, software issues, and common mode power failures are some failure cases listed in this thesis, it is the undiscovered contingency (i.e., unknown-unknown) or unprepared contingency (i.e., unknown-known), along with other external factors, that can lead to an accident. UAM is expected to operate at 1500 feet AGL and at high frequencies over dense metropolitan areas. In an in-flight emergency at these altitudes, any startle response experienced by on-board or remote pilots can lead to longer response times. This study aims to create a framework for contingency planning and risk mitigation using a Reachable Ground Footprint model for eVTOL aircraft under 100% power failure scenarios in-flight. This framework utilizes all existing, public aerodrome infrastructures in metropolitan areas as potential contingency landing sites. Metrics such as Contingency Landing Assurance Percentage and Cruise Altitude Floor requirement are introduced to quantitatively measuring the safety of any UAM trip and provide recommendations on safe cruising altitudes. A demonstration case in the Chicago Metropolitan Area between DuPage Regional Airport and John H. Stroger Hospital Helipad is shown and discussed. Furthermore, aggregate analysis of 434 UAM trips in Chicago Metropolitan Area between Regional Airports, between Regional and Heliports, and between Heliports is performed, along with sensitivity studies involving wind and turn control restrictions. The results discuss variations in Cruise Altitude Floor, Flight Time, and Energy Consumption of these trips using an eVTOL vehicle.","url":"https://doi.org/10.25394/pgs.19487765.v1","authors":["Mudumba, Sai V"],"tags":["Aerospace engineering not elsewhere classified"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2022","doi":"10.25394/pgs.19487765.v1","addedAt":"2026-08-31T06:39:37.251Z","updatedAt":"2026-08-31T06:39:37.251Z"},{"id":"doi:10.25394/pgs.19487765","name":"Automated Contingency Management for Passenger-Carrying Urban Air Mobility Operations","source":"datacite","abstract":"As Urban Air Mobility (UAM) is developed and brought into fruition via electric vertical takeoff and landing (eVTOL) vehicles, contingencies associated with this new distributed electric propulsion technology in metropolitan areas must be considered. On the state of knowledge on contingencies for eVTOL vehicles, these can be Epistemological Risks or Ontological Risks. Epistemological Risks include known-knowns (probabilistic risks) and known-unknowns (gaps in knowledge). Ontological Risks include, unknown-knowns (hidden knowledge), unknown-unknowns (fog of ignorance). As UAM operations at large scale do not have as much historical accidents data as General Aviation or Commercial Aviation, it is challenging to estimate its accident failure rate per 100,000 flight hours. While battery thermal runaway, battery energy uncertainty, software issues, and common mode power failures are some failure cases listed in this thesis, it is the undiscovered contingency (i.e., unknown-unknown) or unprepared contingency (i.e., unknown-known), along with other external factors, that can lead to an accident. UAM is expected to operate at 1500 feet AGL and at high frequencies over dense metropolitan areas. In an in-flight emergency at these altitudes, any startle response experienced by on-board or remote pilots can lead to longer response times. This study aims to create a framework for contingency planning and risk mitigation using a Reachable Ground Footprint model for eVTOL aircraft under 100% power failure scenarios in-flight. This framework utilizes all existing, public aerodrome infrastructures in metropolitan areas as potential contingency landing sites. Metrics such as Contingency Landing Assurance Percentage and Cruise Altitude Floor requirement are introduced to quantitatively measuring the safety of any UAM trip and provide recommendations on safe cruising altitudes. A demonstration case in the Chicago Metropolitan Area between DuPage Regional Airport and John H. Stroger Hospital Helipad is shown and discussed. Furthermore, aggregate analysis of 434 UAM trips in Chicago Metropolitan Area between Regional Airports, between Regional and Heliports, and between Heliports is performed, along with sensitivity studies involving wind and turn control restrictions. The results discuss variations in Cruise Altitude Floor, Flight Time, and Energy Consumption of these trips using an eVTOL vehicle.","url":"https://doi.org/10.25394/pgs.19487765","authors":["Mudumba, Sai V"],"tags":["Aerospace engineering not elsewhere classified"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2022","doi":"10.25394/pgs.19487765","addedAt":"2026-08-31T06:39:37.251Z","updatedAt":"2026-08-31T06:39:37.251Z"},{"id":"doi:10.48550/arxiv.2603.13284","name":"Do Diffusion Models Dream of Electric Planes? Discrete and Continuous Simulation-Based Inference for Aircraft Design","source":"datacite","abstract":"In this paper, we generate conceptual engineering designs of electric vertical take-off and landing (eVTOL) aircraft. We follow the paradigm of simulation-based inference (SBI), whereby we look to learn a posterior distribution over the full eVTOL design space. To learn this distribution, we sample over discrete aircraft configurations (topologies) and their corresponding set of continuous parameters. Therefore, we introduce a hierarchical probabilistic model consisting of two diffusion models. The first model leverages recent work on Riemannian Diffusion Language Modeling (RDLM) and Unified World Models (UWMs) to enable us to sample topologies from a discrete and continuous space. For the second model we introduce a masked diffusion approach to sample the corresponding parameters conditioned on the topology. Our approach rediscovers known trends and governing physical laws in aircraft design, while significantly accelerating design generation.","url":"https://doi.org/10.48550/arxiv.2603.13284","authors":["Ghiglino, Aurelien","Elenius, Daniel","Roy, Anirban","Kaur, Ramneet","Acharya, Manoj","Samplawski, Colin","Matejek, Brian","Jha, Susmit","Alonso, Juan","Cobb, Adam"],"tags":["Machine Learning (cs.LG)","Machine Learning (stat.ML)","FOS: Computer and information sciences","FOS: Computer and information sciences"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.48550/arxiv.2603.13284","addedAt":"2026-08-31T06:39:37.251Z","updatedAt":"2026-08-31T06:39:37.251Z"},{"id":"doi:10.60711/aero2026.20260316.10672992583093037","name":"Vorticity Transport Model for rotary-wing aircraft: First steps before application to the predesign of advanced hybrid eVTOL aircraft\r\n","source":"datacite","abstract":"In the context of green air mobility, novel aircraft concepts are emerging, including hybrid designs that combine rotary and fixed-wing configurations. These configurations generate complex vortex dominated aerodynamic interactions between the propellers, wings and non-lifting surfaces of an electric Vertical Take-Off and Landing (eVTOL) aircraft. Efficient modelling of these interactions remains challenging as High-fidelity computational fluid dynamics (CFD) models require significant resources to accurately preserve these vorticity structures. This work presents a partial implementation of a solver inspired by the Vorticity Transport Model (VTM). The current development focuses on the advection and stretching of vorticity and its numerical realisation. The method has been implemented and verified using canonical two-dimensional vortex test cases and subsequently extended to simplified three-dimensional configurations. Although the present implementation does not yet reproduce the complete VTM formulation, it is sufficient to establish the numerical foundation of the method and to demonstrate its capability to preserve vorticity structures.","url":"https://doi.org/10.60711/aero2026.20260316.10672992583093037","authors":["Wassime KOURAICH"],"tags":["60th 3AF International Conference on Applied Aerodynamics - AERO2026 - February 23-24-25, 2026 - SESSION 3C | Low order modelling"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.60711/aero2026.20260316.10672992583093037","addedAt":"2026-08-31T06:39:37.251Z","updatedAt":"2026-08-31T06:39:37.251Z"},{"id":"doi:10.48550/arxiv.2602.19784","name":"High-Altitude Platforms in the Low-Altitude Economy: Bridging Communication, Computing, and Regulation","source":"datacite","abstract":"The Low-Altitude Economy (LAE) is rapidly emerging as a new technological and industrial frontier, with unmanned aerial vehicles (UAVs), electric vertical takeoff and landing (eVTOL) aircraft, and aerial swarms increasingly deployed in logistics, infrastructure inspection, security, and emergency response. However, the large-scale development of the LAE demands a reliable aerial foundation that ensures not only real-time connectivity and computational support, but also navigation integrity and safe airspace management for safety-critical operations. High-Altitude Platforms (HAPs), positioned at around 20 km, provide a unique balance between wide-area coverage and low-latency responsiveness. Compared with low earth orbit (LEO) satellites, HAPs are closer to end users and thus capable of delivering millisecond-level connectivity, fine-grained regulatory oversight, and powerful onboard computing and caching resources. Beyond connectivity and computation, HAPs-assisted sensing and regulation further enable navigation integrity and airspace trust, which are essential for safety-critical UAV and eVTOL operations in the LAE. This article proposes a five-stage evolutionary roadmap for HAPs in the LAE: from serving as aerial infrastructure bases, to becoming super back-ends for UAV, to acting as frontline support for ground users, further enabling swarm-scale UAV coordination, and ultimately advancing toward edge-air-cloud closed-loop autonomy. In parallel, HAPs complement LEO satellites and cloud infrastructures to form a global-regional-local three-tier architecture. Looking forward, HAPs are expected to evolve from simple platforms into intelligent hubs, emerging as pivotal nodes for air traffic management, intelligent logistics, and emergency response. By doing so, they will accelerate the transition of the LAE toward large-scale deployment, autonomy, and sustainable growth.","url":"https://doi.org/10.48550/arxiv.2602.19784","authors":["Huang, Bang","Belmekki, Baha Eddine Youcef","Alouini, Mohamed-Slim"],"tags":["Systems and Control (eess.SY)","FOS: Electrical engineering, electronic engineering, information engineering","FOS: Electrical engineering, electronic engineering, information engineering"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.48550/arxiv.2602.19784","addedAt":"2026-08-31T06:39:37.251Z","updatedAt":"2026-08-31T06:39:37.251Z"},{"id":"doi:10.5281/zenodo.18763653","name":"MixeDiT-MaskeDiT: Aircraft Dataset of 30,276 Diverse eVTOL Designs","source":"datacite","abstract":"This dataset contains 30,276 eVTOL aircraft, randomly generated and analyzed using SUAVE. The Git repo contains more information. File structure /training_data/ /maskedit/ /data/: training data for MaskeDiT /model/: trained model for MaskeDiT /mixedit/ /data/: tokenizing data for MixeDiT /model/: trained model for MixeDiT Simulation using SUAVESUAVE is a flexible aerodynamics and flight dynamics simulation tool, which is often used for early-stage conceptual aircraft design. SUAVE ingests an aircraft design and a mission (flight path), and then performs three key coupled analyses sequentially: stability, aerodynamics and propulsion. After the analysis, SUAVE produces a large array of fine-grained aircraft statistics that can vary across the flight path, such as state-of-charge and angle of attack through different phases of flight. In this work, we will focus on a subset of ten summary statistics. As a conceptual design tool, SUAVE relies on traditional mass‑regression models and does not screen out structurally infeasible designs, so we build three modules. (1) A modified mass‑estimation interface that supplies individual component masses to the simulation. (2) A CAD‑based verification tool that detects propeller–wing or propeller–fuselage intersections. (3) A simple structural filter that rejects clearly infeasible configurations (e.g. wingspans over 50m).Design Representation and GenerationWe generate a large design dataset by modeling eVTOLs as trees and using a custom tree‑based probabilistic program. This probabilistic program plays the role of the general prior over all possible eVTOL designs. Starting from the root, each tree branches into propulsion, structural, aerodynamic, energy storage, and avionics subsystems. Each subsystem is further refined into concrete components, such as airframe members and wings, subcomponents, such as propeller rotors, until reaching atomic parameters, such as geometric dimensions and masses. This tree forms a typed, hierarchical JSON schema that functions like a generative grammar. Note that all designs include at least one wing, have one fuselage, and at least one forward propeller.Design Stochasticity and Pre-ProcessingThe design space is constrained by capping the number of components: up to two wings, one horizontal stabilizer, one vertical stabilizer, two clusters of four lifting rotors per wing, two forward propellers per wing, and optionally a single nose-mounted propeller. Any combination of these elements is permitted, resulting in 144 possible configurations. The final design representation for the machine‑learning models is obtained by removing internal fuselage and wing cross‑sections from the maximal design tree and flattening the remainder into a vector. Missing components (e.g., a second wing) are left blank in this vector, with a corresponding mask included in the dataset. We move the generation of internal fuselage and wing cross‑sections to the run‑time simulation, introducing stochasticity when decoding a pre‑processed design. As a result, each design will have different internal fuselage and wing geometries for every SUAVE evaluation, while the key high-level parameters provided to the SBI model, such as total wingspan and fuselage length, remain fixed. DatasetFollowing the outlined data generation pipeline of this section, we initially generate a dataset of 300,000 eVTOL aircraft using our probabilistic program. We then run all designs through our SUAVE evaluation pipeline and filter out designs according structural checks, aircraft stability, and convergence of the SUAVE simulation. This results in a final dataset of 30,276 valid designs.","url":"https://doi.org/10.5281/zenodo.18763653","authors":["Ghiglino, Aurelien","Elenius, Daniel","Roy, Anirban","Kaur, Ramneet","Acharya, Manoj","Samplawski, Colin","Matejek, Brian","Jha, Susmit","Alonso, Juan","Cobb, Adam"],"tags":["Aerospace","Simulation-based inference","Vortex lattice","eVTOL"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.18763653","addedAt":"2026-08-31T06:39:37.251Z","updatedAt":"2026-08-31T06:39:37.251Z"},{"id":"doi:10.5281/zenodo.18763654","name":"MixeDiT-MaskeDiT: Aircraft Dataset of 30,276 Diverse eVTOL Designs","source":"datacite","abstract":"This dataset contains 30,276 eVTOL aircraft, randomly generated and analyzed using SUAVE. The Git repo contains more information. File structure /training_data/ /maskedit/ /data/: training data for MaskeDiT /model/: trained model for MaskeDiT /mixedit/ /data/: tokenizing data for MixeDiT /model/: trained model for MixeDiT Simulation using SUAVESUAVE is a flexible aerodynamics and flight dynamics simulation tool, which is often used for early-stage conceptual aircraft design. SUAVE ingests an aircraft design and a mission (flight path), and then performs three key coupled analyses sequentially: stability, aerodynamics and propulsion. After the analysis, SUAVE produces a large array of fine-grained aircraft statistics that can vary across the flight path, such as state-of-charge and angle of attack through different phases of flight. In this work, we will focus on a subset of ten summary statistics. As a conceptual design tool, SUAVE relies on traditional mass‑regression models and does not screen out structurally infeasible designs, so we build three modules. (1) A modified mass‑estimation interface that supplies individual component masses to the simulation. (2) A CAD‑based verification tool that detects propeller–wing or propeller–fuselage intersections. (3) A simple structural filter that rejects clearly infeasible configurations (e.g. wingspans over 50m).Design Representation and GenerationWe generate a large design dataset by modeling eVTOLs as trees and using a custom tree‑based probabilistic program. This probabilistic program plays the role of the general prior over all possible eVTOL designs. Starting from the root, each tree branches into propulsion, structural, aerodynamic, energy storage, and avionics subsystems. Each subsystem is further refined into concrete components, such as airframe members and wings, subcomponents, such as propeller rotors, until reaching atomic parameters, such as geometric dimensions and masses. This tree forms a typed, hierarchical JSON schema that functions like a generative grammar. Note that all designs include at least one wing, have one fuselage, and at least one forward propeller.Design Stochasticity and Pre-ProcessingThe design space is constrained by capping the number of components: up to two wings, one horizontal stabilizer, one vertical stabilizer, two clusters of four lifting rotors per wing, two forward propellers per wing, and optionally a single nose-mounted propeller. Any combination of these elements is permitted, resulting in 144 possible configurations. The final design representation for the machine‑learning models is obtained by removing internal fuselage and wing cross‑sections from the maximal design tree and flattening the remainder into a vector. Missing components (e.g., a second wing) are left blank in this vector, with a corresponding mask included in the dataset. We move the generation of internal fuselage and wing cross‑sections to the run‑time simulation, introducing stochasticity when decoding a pre‑processed design. As a result, each design will have different internal fuselage and wing geometries for every SUAVE evaluation, while the key high-level parameters provided to the SBI model, such as total wingspan and fuselage length, remain fixed. DatasetFollowing the outlined data generation pipeline of this section, we initially generate a dataset of 300,000 eVTOL aircraft using our probabilistic program. We then run all designs through our SUAVE evaluation pipeline and filter out designs according structural checks, aircraft stability, and convergence of the SUAVE simulation. This results in a final dataset of 30,276 valid designs.","url":"https://doi.org/10.5281/zenodo.18763654","authors":["Ghiglino, Aurelien","Elenius, Daniel","Roy, Anirban","Kaur, Ramneet","Acharya, Manoj","Samplawski, Colin","Matejek, Brian","Jha, Susmit","Alonso, Juan","Cobb, Adam"],"tags":["Aerospace","Simulation-based inference","Vortex lattice","eVTOL"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.18763654","addedAt":"2026-08-31T06:39:37.251Z","updatedAt":"2026-08-31T06:39:37.251Z"},{"id":"doi:10.17866/rd.salford.27853683.v1","name":"Numerical investigation of Propeller Boundary Layer Ingestion Noise using CABARET on rotating meshes","source":"datacite","abstract":"Urban air mobility (UAM) vehicles, including electric vertical take-off and landing (eVTOL) aircraft, hold significant potential for transforming urban transportation. The placement of propeller, notably downstream of the wing and near the fuselage, has been shown to improve propeller efficiency at a cost of increased noise due to turbulence-rotor interaction. This study employs Wall Modelled LES utilising the CABARET algorithm on rotating grid to simulate the turbulence-rotor ingestion noise in two setups corresponding to (1) zero and (2) adverse pressure gradient boundary layer flows. The far-field noise spectra are computed using the Ffowcs Williams-Hawkings (FW-H) method in permeable control surface formulation for both setups. The near-field time-averaged velocity profile and the far-field noise spectra are compared with the measurements of the University of Bristol with showing encouraging agreement between the LES results and the experiment on rather coarse meshes.","url":"https://doi.org/10.17866/rd.salford.27853683.v1","authors":["Ali Abid, Hussain","Markesteijn, Annabel P.","Solntsev, Igor","Karabasov, Sergey A."],"tags":["Fluid-structure interaction and aeroacoustics"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.17866/rd.salford.27853683.v1","addedAt":"2026-08-31T06:39:37.251Z","updatedAt":"2026-08-31T06:39:37.251Z"},{"id":"doi:10.17866/rd.salford.27853683","name":"Numerical investigation of Propeller Boundary Layer Ingestion Noise using CABARET on rotating meshes","source":"datacite","abstract":"Urban air mobility (UAM) vehicles, including electric vertical take-off and landing (eVTOL) aircraft, hold significant potential for transforming urban transportation. The placement of propeller, notably downstream of the wing and near the fuselage, has been shown to improve propeller efficiency at a cost of increased noise due to turbulence-rotor interaction. This study employs Wall Modelled LES utilising the CABARET algorithm on rotating grid to simulate the turbulence-rotor ingestion noise in two setups corresponding to (1) zero and (2) adverse pressure gradient boundary layer flows. The far-field noise spectra are computed using the Ffowcs Williams-Hawkings (FW-H) method in permeable control surface formulation for both setups. The near-field time-averaged velocity profile and the far-field noise spectra are compared with the measurements of the University of Bristol with showing encouraging agreement between the LES results and the experiment on rather coarse meshes.","url":"https://doi.org/10.17866/rd.salford.27853683","authors":["Ali Abid, Hussain","Markesteijn, Annabel P.","Solntsev, Igor","Karabasov, Sergey A."],"tags":["Fluid-structure interaction and aeroacoustics"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.17866/rd.salford.27853683","addedAt":"2026-08-31T06:39:37.251Z","updatedAt":"2026-08-31T06:39:37.251Z"},{"id":"doi:10.17866/rd.salford.27922428.v1","name":"Experimental and Numerical Study of Leading-Edge Tubercles on a Propeller Blade.","source":"datacite","abstract":"The conducted research investigates using leading-edge tubercles as a form ofpassive flow control device on a propeller blade. These blades are hypothesised to reducenoise propagation and have potential benefits to the blade efficiency. The investigationmakes use of experimental testing of the conventional design against the tubercles withadditional testing against commercial market propellers, using a wind-tunnel and anechoicchamber. During experimental testing, the outcomes of static tests produce 21% increasein thrust, 19.6% reduction in noise sample peak level, achieved. During dynamic testingfrom the addition of the tubercles tested against several sets of propellers. Subsequently,simulation tests conducted in CFD have been optimized to use pressure based unsteadyflow simulation, utilizing, realisable k-ε for the aerodynamic investigation and for the aeroacoustics, Large Eddy numerical simulations for validation, showing good correspondenceof the results presented. The data attained from the results would provide to be beneficial,for future VTOL companies, which require lower noise emissions, with beneficial thrust valuesfor take-off and landing to operate in urban environments, to provide ideal performanceand cleaner emissions. The benefit of the attained data would provide to be beneficial fornext generation future eVTOL aircraft, requiring lower noise emissions, with beneficial thrustvalues for take-off and landing, operating within urban environments, by providing cleaneremissions whilst providing ideal performance.","url":"https://doi.org/10.17866/rd.salford.27922428.v1","authors":["Majid, Saif","Toomer, Chris"],"tags":["Acoustics and noise control (excl. architectural acoustics)"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.17866/rd.salford.27922428.v1","addedAt":"2026-08-31T06:39:37.251Z","updatedAt":"2026-08-31T06:39:37.251Z"},{"id":"doi:10.17866/rd.salford.27922428","name":"Experimental and Numerical Study of Leading-Edge Tubercles on a Propeller Blade.","source":"datacite","abstract":"The conducted research investigates using leading-edge tubercles as a form ofpassive flow control device on a propeller blade. These blades are hypothesised to reducenoise propagation and have potential benefits to the blade efficiency. The investigationmakes use of experimental testing of the conventional design against the tubercles withadditional testing against commercial market propellers, using a wind-tunnel and anechoicchamber. During experimental testing, the outcomes of static tests produce 21% increasein thrust, 19.6% reduction in noise sample peak level, achieved. During dynamic testingfrom the addition of the tubercles tested against several sets of propellers. Subsequently,simulation tests conducted in CFD have been optimized to use pressure based unsteadyflow simulation, utilizing, realisable k-ε for the aerodynamic investigation and for the aeroacoustics, Large Eddy numerical simulations for validation, showing good correspondenceof the results presented. The data attained from the results would provide to be beneficial,for future VTOL companies, which require lower noise emissions, with beneficial thrust valuesfor take-off and landing to operate in urban environments, to provide ideal performanceand cleaner emissions. The benefit of the attained data would provide to be beneficial fornext generation future eVTOL aircraft, requiring lower noise emissions, with beneficial thrustvalues for take-off and landing, operating within urban environments, by providing cleaneremissions whilst providing ideal performance.","url":"https://doi.org/10.17866/rd.salford.27922428","authors":["Majid, Saif","Toomer, Chris"],"tags":["Acoustics and noise control (excl. architectural acoustics)"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.17866/rd.salford.27922428","addedAt":"2026-08-31T06:39:37.251Z","updatedAt":"2026-08-31T06:39:37.251Z"},{"id":"doi:10.5281/zenodo.18620079","name":"D7.3 - UAM services, safety and social acceptance analysis","source":"datacite","abstract":"AMU-LED is a Very Large-scale Demonstration (VLD) project funded by the SESAR Joint Undertakingunder the European Union’s Horizon 2020 research and innovation programme that will demonstratethe safe integration of different types of manned and unmanned aircraft in Urban Air Mobility (UAM)to realise increasingly sustainable smart cities. Urban air mobility (UAM) refers to eVTOL passengers and cargo air transportation services and tooperating drones in urban or densely populated areas. UAM has the potential to revolutionize the waypeople and goods move within cities, providing faster and more efficient transportation options andreducing congestion on roads. However, the success of UAM depends on its acceptance by the publicand various stakeholders, including government officials, community leaders, and the generalpopulation. Safety is a major concern when it comes to UAM. The safety of operations, as well as the safety ofpeople, wildlife and property on the ground, must be ensured. In addition to safety, other factors thatcan influence the social acceptance of UAM include noise, environmental impacts, and infrastructure.The document examines the safety of UAM and the various factors that can impact its socialacceptance.","url":"https://doi.org/10.5281/zenodo.18620079","authors":["González, Carmen","Uzun, Mevlut","Tojal Castro, Marta"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2023","doi":"10.5281/zenodo.18620079","addedAt":"2026-08-31T06:39:37.251Z","updatedAt":"2026-08-31T06:39:37.251Z"},{"id":"doi:10.5281/zenodo.18620080","name":"D7.3 - UAM services, safety and social acceptance analysis","source":"datacite","abstract":"AMU-LED is a Very Large-scale Demonstration (VLD) project funded by the SESAR Joint Undertakingunder the European Union’s Horizon 2020 research and innovation programme that will demonstratethe safe integration of different types of manned and unmanned aircraft in Urban Air Mobility (UAM)to realise increasingly sustainable smart cities. Urban air mobility (UAM) refers to eVTOL passengers and cargo air transportation services and tooperating drones in urban or densely populated areas. UAM has the potential to revolutionize the waypeople and goods move within cities, providing faster and more efficient transportation options andreducing congestion on roads. However, the success of UAM depends on its acceptance by the publicand various stakeholders, including government officials, community leaders, and the generalpopulation. Safety is a major concern when it comes to UAM. The safety of operations, as well as the safety ofpeople, wildlife and property on the ground, must be ensured. In addition to safety, other factors thatcan influence the social acceptance of UAM include noise, environmental impacts, and infrastructure.The document examines the safety of UAM and the various factors that can impact its socialacceptance.","url":"https://doi.org/10.5281/zenodo.18620080","authors":["González, Carmen","Uzun, Mevlut","Tojal Castro, Marta"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2023","doi":"10.5281/zenodo.18620080","addedAt":"2026-08-31T06:39:37.251Z","updatedAt":"2026-08-31T06:39:37.251Z"},{"id":"doi:10.5281/zenodo.18610812","name":"Dataset for Reliability-Based Design Optimization of a Long-Range eVTOL Aircraft under Uncertain Mission Parameters","source":"openalex","abstract":"This dataset contains all code and optimization algorithms used in the following publication: Damien M. Keijzer, Saullo G. P. Castro. \"Reliability-Based Design Optimization of a Long-Range eVTOL Aircraft under Uncertain Mission Parameters\". Preprint, 2026.","url":"https://doi.org/10.5281/zenodo.18610812","authors":["Damien Keijzer","Beyne, E.","Buszek, M.","Cuadrat-Grzybowski, M.","López, N. S.","Alba-Maestre, J.","Poliakov, N.","Prud'homme van Reine, K.","Santamaría, A. M.","Schoser, J.","Wadia, K.","G. P. Castro, Saullo"],"tags":["Computer science","Code (set theory)","Robust optimization","Optimization problem","Engineering"],"confidence":0.72,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.18610812","addedAt":"2026-08-31T06:39:37.251Z","updatedAt":"2026-08-31T14:45:35.251Z"},{"id":"doi:10.25236/ajets.2024.070420","name":"Design and Simulation of Foldable Wing eVTOL UAV","source":"crossref","abstract":"","url":"https://doi.org/10.25236/ajets.2024.070420","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-08-16T09:11:56Z","doi":"10.25236/ajets.2024.070420","addedAt":"2026-08-31T06:39:37.267Z","updatedAt":"2026-08-31T06:39:39.325Z"},{"id":"doi:10.2514/6.2024-2636","name":"Propeller Noise Prediction for Transient eVTOL Missions","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2024-2636","authors":["Ole Bergmann","Felix Möhren","Carsten Braun","Frank Janser"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-01-30T01:50:50Z","doi":"10.2514/6.2024-2636","addedAt":"2026-08-31T06:39:37.267Z","updatedAt":"2026-08-31T06:39:39.325Z"},{"id":"doi:10.1016/j.ast.2024.109447","name":"Application of improved appointed time control in helicopter mode of a tilt-rotor eVTOL aircraft","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.ast.2024.109447","authors":["Danyu Li","Liang Zhang","Chongsen Mo","Naigang Cui"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-08-07T21:51:06Z","doi":"10.1016/j.ast.2024.109447","addedAt":"2026-08-31T06:39:37.267Z","updatedAt":"2026-08-31T06:39:39.468Z"},{"id":"doi:10.2514/6.2024-3855","name":"Development of eVTOL Scenarios for Trajectory Generation","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2024-3855","authors":["Johanna Kunz","Samuel Layer-Reiss","Florian Holzapfel","Matthias Bittner"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-09-20T08:30:37Z","doi":"10.2514/6.2024-3855","addedAt":"2026-08-31T06:39:37.267Z","updatedAt":"2026-08-31T06:39:37.267Z"},{"id":"doi:10.12968/s1478-2774(24)50048-5","name":"VoloCity eVTOL Passes Ground Vibration Tests","source":"crossref","abstract":"VOLOCOPTER AND DLR COMPLETE GROUND VIBRATION TESTING OF VOLOCITY EVTOL AIRCRAFT","url":"https://doi.org/10.12968/s1478-2774(24)50048-5","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-06-22T15:53:15Z","doi":"10.12968/s1478-2774(24)50048-5","addedAt":"2026-08-31T06:39:37.267Z","updatedAt":"2026-08-31T06:39:37.267Z"},{"id":"doi:10.2514/6.2024-2157","name":"The Development of Icing Experiment Techniques for eVTOL UAM Certifications","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2024-2157","authors":["Sihong Yan","Joseph Nangle","Geoffrey Karli","Jose Palacios"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-01-29T22:09:28Z","doi":"10.2514/6.2024-2157","addedAt":"2026-08-31T06:39:37.267Z","updatedAt":"2026-08-31T06:39:37.267Z"},{"id":"doi:10.52843/cassyni.7x3sxn","name":"Recent Examples of eVTOL Aeroacoustics","source":"crossref","abstract":"This seminar presents recent work carried out at the CFD Laboratory of Glasgow on eVTOL. The seminar will present a method for eVTOL rotor blade optimisation based on harmonic balance CFD, and demonstrate its use. Examples from aeroacoustics computations will them be given covering propeller and prop-rotor noise.","url":"https://doi.org/10.52843/cassyni.7x3sxn","authors":["George Barakos"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-02-16T13:16:00Z","doi":"10.52843/cassyni.7x3sxn","addedAt":"2026-08-31T06:39:37.267Z","updatedAt":"2026-08-31T06:39:39.325Z"},{"id":"doi:10.2514/6.2024-2485","name":"Autonomous Landing of eVTOL Vehicles for Advanced Air Mobility via Deep Reinforcement Learning","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2024-2485","authors":["Sabrullah Deniz","Yufei Wu","Zhenbo Wang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-01-29T20:50:11Z","doi":"10.2514/6.2024-2485","addedAt":"2026-08-31T06:39:37.267Z","updatedAt":"2026-08-31T06:39:37.267Z"},{"id":"doi:10.2514/6.2024-4214","name":"Simplified Mixed Reality eVTOL Pilot Training: A Systemic Approach","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2024-4214","authors":["Sharina Kimura","Michael Zintl","Leonie Mangold","Claudius Hammann","Florian Holzapfel"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-09-20T08:30:37Z","doi":"10.2514/6.2024-4214","addedAt":"2026-08-31T06:39:37.267Z","updatedAt":"2026-08-31T06:39:37.267Z"},{"id":"doi:10.2514/6.2024-4521","name":"Numerical Study on Aerodynamic Characteristics of Loop Propeller Toward Quiet eVTOL","source":"openalex","abstract":"Electric vertical takeoff and landing (eVTOL) aircraft are used for a variety of purposes. To reduce the aerodynamic noise generated by the propeller, a loop-type propeller, named as “Looprop”, has been developed in JAXA. In this study, numerical analyses on the flow around the Looprop have been performed, including the inviscid and viscid simulations, to investigate the flow field and aerodynamic characteristics of the Looprop. From the inviscid simulation, the generation of tip vortex from the Loop blade is clearly visualized. The merging of each vortex from the forward and backward blades forms one blade-tip vortex of the Looprop. The differences in aerodynamic performance between the forward and backward blades can be reduced by applying a twist with different pitch angles for the forward and backward blades. Viscous simulations show that flow separation occurs near the blade-tip on both blades, resulting in the low aerodynamic performance.","url":"https://doi.org/10.2514/6.2024-4521","authors":["Yoshiki Nakaniida","Makoto Sato","Eiji Shima"],"tags":["Aerodynamics","QUIET","Propeller","Aerospace engineering","Aeronautics"],"confidence":0.72,"sites":["low-altitude"],"publishedDate":"2024-07-27","doi":"10.2514/6.2024-4521","addedAt":"2026-08-31T06:39:37.267Z","updatedAt":"2026-08-31T14:45:35.251Z"},{"id":"doi:10.11361/reportscpij.23.2_299","name":"Study on the Feasibility of Introducing eVTOL Based on Comparison of Travel Time and Travel Cost Required for eVTOL and Existing Means of Transportation","source":"crossref","abstract":"","url":"https://doi.org/10.11361/reportscpij.23.2_299","authors":["Atsushi Tanigawa","Takefumi Kurose"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-09-09T22:14:35Z","doi":"10.11361/reportscpij.23.2_299","addedAt":"2026-08-31T06:39:37.267Z","updatedAt":"2026-08-31T06:39:39.468Z"},{"id":"doi:10.32560/rk.2024.1.7","name":"Személyzet nélküli eVTOL légi járművek biztonsági kihívásai","source":"crossref","abstract":"Az elkövetkező években az okosvárosok létrejöttével a légi mobilitás (UM) és azon belül a fejlett légi mobilitás (AAM) forradalmi változások előtt áll. A technológiák fejlődésével új légi járművek és azok új alkalmazási területei jelentek meg. Azonban ezek a fejlesztések olyan új biztonsági kihívásokat is hoztak magukkal, amelyek megoldása nélkül a biztonságos alkalmazásuk nem lehetséges. A továbbiakban a légi mobilitás jövőbeni biztonsági kihívásainak átfogó vizsgálatára és amennyiben lehetséges, a megoldások ismertetésére kerül sor annak érdekében, hogy az új technológiák és szolgáltatások bevezetése biztonságos és fenntartható módon történjen.","url":"https://doi.org/10.32560/rk.2024.1.7","authors":["Gábor Terpecz","György Schuster"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-04-15T10:25:01Z","doi":"10.32560/rk.2024.1.7","addedAt":"2026-08-31T06:39:37.267Z","updatedAt":"2026-08-31T06:39:39.325Z"},{"id":"doi:10.12968/s1478-2774(25)50024-8","name":"Revolutionizing EVTOL Testing","source":"crossref","abstract":"How new test technologies helped Volocopter accelerate the VoloCity development","url":"https://doi.org/10.12968/s1478-2774(25)50024-8","authors":["Daniel Hermyt","Christian Pastucha"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-01-07T16:14:58Z","doi":"10.12968/s1478-2774(25)50024-8","addedAt":"2026-08-31T06:39:37.267Z","updatedAt":"2026-08-31T06:39:37.267Z"},{"id":"doi:10.2514/6.2024-3219","name":"Hover Performance and Acoustics of a 35% Scale Notional eVTOL Rotor.","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2024-3219","authors":["Charles E. Tinney","John A. Valdez"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-05-30T23:51:36Z","doi":"10.2514/6.2024-3219","addedAt":"2026-08-31T06:39:37.267Z","updatedAt":"2026-08-31T06:39:37.267Z"},{"id":"doi:10.26678/abcm.conem2024.con24-0974","name":"Dynamic analysis of a simplified rotor for eVTOL applications","source":"crossref","abstract":"","url":"https://doi.org/10.26678/abcm.conem2024.con24-0974","authors":["Brenno Popov","Suzana Avila","Polliana Martins"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-09-03T15:41:46Z","doi":"10.26678/abcm.conem2024.con24-0974","addedAt":"2026-08-31T06:39:37.267Z","updatedAt":"2026-08-31T06:39:37.267Z"},{"id":"doi:10.2514/6.2024-4207","name":"Simplified Vehicle Control Concept for a Lift Plus Cruise eVTOL Vehicle","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2024-4207","authors":["John Kaneshige","Thomas Lombaerts","Kimberlee Shish","Michael Feary"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-09-20T08:30:37Z","doi":"10.2514/6.2024-4207","addedAt":"2026-08-31T06:39:37.267Z","updatedAt":"2026-08-31T14:45:35.252Z"},{"id":"doi:10.2514/6.2024-4521.c1","name":"Correction: Numerical Study on Aerodynamic Characteristics of Loop Propeller Toward Quiet eVTOL","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2024-4521.c1","authors":["Yoshiki Nakaniida","Makoto Sato","Eiji Shima"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-09-20T04:30:37Z","doi":"10.2514/6.2024-4521.c1","addedAt":"2026-08-31T06:39:37.267Z","updatedAt":"2026-08-31T14:45:35.252Z"},{"id":"doi:10.1109/icrera62673.2024.10815509","name":"Fuel Cell-Battery Power Management System for eVTOL Drones","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icrera62673.2024.10815509","authors":["Jungcheol Kang","Se-Kyo Chung"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-12-31T19:24:28Z","doi":"10.1109/icrera62673.2024.10815509","addedAt":"2026-08-31T06:39:37.267Z","updatedAt":"2026-08-31T06:39:37.267Z"},{"id":"doi:10.2514/6.2024-3644","name":"Overview of an Exploratory, Multi-Pilot Simulation Study of Early eVTOL Operations at Non-Towered Vertiports","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2024-3644","authors":["Kenneth H. Goodrich"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-09-20T09:39:41Z","doi":"10.2514/6.2024-3644","addedAt":"2026-08-31T06:39:37.267Z","updatedAt":"2026-08-31T14:45:35.252Z"},{"id":"doi:10.20944/preprints202411.0140.v1","name":"4D Generalized AMS Optimization Considering Critical Engine Inoperative for an eVTOL","source":"crossref","abstract":"In this paper, we present a method to optimize the attainable moment set (AMS) to increase control authority for electrical vertical-take-off-landing vehicles (eVTOLs). As opposed to 3D AMS for conventional airplanes, hover control of eVTOLs requires vertical thrust produced by the powered lift system in addition to three moments. The limits of the moments and vertical thrust are coupled due to input saturation, and as a result, the concept of traditional AMS is extended to 4D Generalized Moment Set to account for this coupling effect. Given a required moment set (RMS) derived from system requirements, the optimization is formulated as a 4D convex polytope coverage problem, i.e., the AMS coverage over the RMS, such that the system&amp;#039;s available control authority is maximized to fulfill the prescribed requirements. The optimization accounts for not only nominal flight, but also for one critical engine inoperative situation. To test the method, it is applied to an eVTOL with 8 rotors to optimize for the rotors’ orientation w.r.t the body axis. Results indicate highly improved coverage of the RMS for both failure-free and one engine inoperative situations. Closed-loop simulation tests are performed for both optimal and non-optimal configurations to further validate the results.","url":"https://doi.org/10.20944/preprints202411.0140.v1","authors":["Jiannan Zhang","Max Söpper","Florian Holzapfel","Shuguang Zhang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-11-06T00:52:06Z","doi":"10.20944/preprints202411.0140.v1","addedAt":"2026-08-31T06:39:37.267Z","updatedAt":"2026-08-31T06:39:39.325Z"},{"id":"doi:10.5771/9783415076099-155","name":"UAS und eVTOL – Neue Verkehrsträger sicher integrieren","source":"crossref","abstract":"","url":"https://doi.org/10.5771/9783415076099-155","authors":["Jan Dirks"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-05-02T08:38:48Z","doi":"10.5771/9783415076099-155","addedAt":"2026-08-31T06:39:37.267Z","updatedAt":"2026-08-31T06:39:37.267Z"},{"id":"doi:10.1109/wcnc57260.2024.10571198","name":"GeTOA: Game- Theoretic Optimization for AOI of Ultra-Reliable eVTOL Collaborative Communication","source":"crossref","abstract":"","url":"https://doi.org/10.1109/wcnc57260.2024.10571198","authors":["Ishan Aryendu","Sudhanshu Arya","Ying Wang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-07-03T17:25:49Z","doi":"10.1109/wcnc57260.2024.10571198","addedAt":"2026-08-31T06:39:37.267Z","updatedAt":"2026-08-31T06:39:37.267Z"},{"id":"doi:10.1109/control60310.2024.10531934","name":"Control of an Over-Actuated Fixed-Wing Vectored Thrust eVTOL","source":"crossref","abstract":"","url":"https://doi.org/10.1109/control60310.2024.10531934","authors":["Emmanuel Enenakpogbe","James F. Whidborne","Linghai Lu"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-05-22T17:32:34Z","doi":"10.1109/control60310.2024.10531934","addedAt":"2026-08-31T06:39:37.267Z","updatedAt":"2026-08-31T06:39:37.267Z"},{"id":"doi:10.1109/isaes61964.2024.10751625","name":"Reliability Analysis of eVTOL Avionics System Architecture Based on Bayesian Networks","source":"crossref","abstract":"","url":"https://doi.org/10.1109/isaes61964.2024.10751625","authors":["Qiang Zhou","Fu Tan"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-11-19T18:38:50Z","doi":"10.1109/isaes61964.2024.10751625","addedAt":"2026-08-31T06:39:37.267Z","updatedAt":"2026-08-31T06:39:37.267Z"},{"id":"doi:10.2514/6.2024-4213","name":"Identifying the Requirements of eVTOL Battery Information Displays","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2024-4213","authors":["Maureen Namukasa","Bhoomin Chauhan","Yarisse A. Oyola","Kendall Carmody","Dr. Meredith Carroll"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-09-20T08:30:37Z","doi":"10.2514/6.2024-4213","addedAt":"2026-08-31T06:39:37.267Z","updatedAt":"2026-08-31T14:45:35.252Z"},{"id":"doi:10.4050/f-0080-2024-1134","name":"Adoption Of Virtual Twin Technologies For eVTOL Manufacturers, Infrastructure Providers, And Operators","source":"crossref","abstract":"Developing and operating an advanced air mobility service is challenging in many ways. The technical complexity of the task, the lack of available supporting infrastructure, the regulatory environment, and the necessity of collaboration among all stakeholders are barriers to a wide-spread implementation. Digital tools are now available to the whole industry to tackle those challenges, one of them being the virtual twin experience technology. The virtual twin experience is generated by the digital twin technology applied to a certain domain of application. It is a system of systems designed to provide users with a unique and immersive experience of reality, without physically being present in the real-world environment. It offers capabilities that go beyond traditional means, enabling organizations and users to achieve tasks and insights that were previously not possible. This paper describes how the virtual twin experience is adopted within the advanced air mobility ecosystem, that is comprised of the aircraft manufacturer, the vertiport provider and the operator. It reviews the different business processes on electric vertical take-off and landing (eVTOL) vehicle design and manufacturing, vertiport design, and operations, and highlights the associated benefits of such approach. Through these processes, we will see how the virtual twin experiences shape the future of product design, manufacturing, and operations. It changes the way in which stakeholders collaborate in a complex system of systems context. The paper concludes on the ways that the virtual twin experience provides organizations enhanced visualization and understanding, expanded trade-space exploration, and improved decision-making, and how it enables innovators and enterprises alike with greater visibility, efficiency, flexibility, and compliance.","url":"https://doi.org/10.4050/f-0080-2024-1134","authors":["Roberto Licata"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-09-20T17:03:58Z","doi":"10.4050/f-0080-2024-1134","addedAt":"2026-08-31T06:39:37.267Z","updatedAt":"2026-08-31T06:39:37.267Z"},{"id":"doi:10.1016/j.jocs.2024.102380","name":"Machine learning approaches for assessing rechargeable battery state-of-charge in unmanned aircraft vehicle-eVTOL","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.jocs.2024.102380","authors":["M. Thien Phung","Tri-Chan-Hung Nguyen","M. Shaheer Akhtar","O-Bong Yang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-06-25T20:02:38Z","doi":"10.1016/j.jocs.2024.102380","addedAt":"2026-08-31T06:39:37.267Z","updatedAt":"2026-08-31T06:39:39.325Z"},{"id":"doi:10.12968/s0013-7758(24)90037-7","name":"Vertiport at Vanguard of eVTOL Mobility in UK","source":"crossref","abstract":"","url":"https://doi.org/10.12968/s0013-7758(24)90037-7","authors":["Jason Ford"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-12-26T14:59:36Z","doi":"10.12968/s0013-7758(24)90037-7","addedAt":"2026-08-31T06:39:37.267Z","updatedAt":"2026-08-31T06:39:37.267Z"},{"id":"doi:10.2514/6.2024-4449","name":"GlennICE Simulation of 24, 28 and 36 Inch Diameter eVTOL Propellers in Forward Flight","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2024-4449","authors":["David L. Rigby","Paul H. Von Hardenberg"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-09-20T08:30:37Z","doi":"10.2514/6.2024-4449","addedAt":"2026-08-31T06:39:37.267Z","updatedAt":"2026-08-31T14:45:35.252Z"},{"id":"doi:10.1109/globecom52923.2024.10901320","name":"Handover-skipping for Maximizing Communication Capacity of Ground - eVTOL Links Considering Air Cell Interference","source":"crossref","abstract":"","url":"https://doi.org/10.1109/globecom52923.2024.10901320","authors":["Daisuke Matsuura","Yuichi Kawamoto","Nei Kato"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-03-11T17:30:35Z","doi":"10.1109/globecom52923.2024.10901320","addedAt":"2026-08-31T06:39:37.267Z","updatedAt":"2026-08-31T14:45:35.252Z"},{"id":"doi:10.2514/6.2024-2362","name":"Thermo-Mechanical Level-Set Topology Optimization of an eVTOL Battery Pack","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2024-2362","authors":["Alexandre T. Guibert","Murtaza Bookwala","Ashley Cronk","Ying Shirley Meng","Alicia A. Kim"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-01-29T20:50:11Z","doi":"10.2514/6.2024-2362","addedAt":"2026-08-31T06:39:37.267Z","updatedAt":"2026-08-31T14:45:35.252Z"},{"id":"doi:10.1109/icccworkshops62562.2024.10693789","name":"eVTOL Communication and Trajectory Optimization in Low-Altitude Economy","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icccworkshops62562.2024.10693789","authors":["Kai Xiong","Juefei Xie","Supeng Leng"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-10-04T17:31:53Z","doi":"10.1109/icccworkshops62562.2024.10693789","addedAt":"2026-08-31T06:39:37.267Z","updatedAt":"2026-08-31T14:45:35.252Z"},{"id":"doi:10.2139/ssrn.5047964","name":"Coaxial Evtol Dynamic Modeling and Control Design For  Urban Air Mobility Applications","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.5047964","authors":["Ali Rıza YILMAZ","Muhammed Ali KUL","Sedat Karakaş","Bilal EROL"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-12-08T02:38:26Z","doi":"10.2139/ssrn.5047964","addedAt":"2026-08-31T06:39:37.267Z","updatedAt":"2026-08-31T06:39:57.284Z"},{"id":"doi:10.4050/f-0080-2024-1230","name":"eVTOL Modeling Frameworks: A Comparative Study","source":"crossref","abstract":"For the last few decades, Canada's National Research Council (NRC) has been at the forefront in analyzing dynamic systems and developing tools to construct aircraft models based on flight test data. With a fixed and rotary-wing aircraft fleet available, NRC has the capability to perform leading edge R&amp;D System Identification (SI); this worldleading SI technology has been developed and has assisted industry partners, Department of National Defense (DND), and various universities in aircraft simulation and development. As a result, NRC has gained extensive experience in modeling aircraft using SI techniques. In collaboration with CAE, this paper demonstrates the acceleration of the NRC's current flight modeling techniques, highlighting recent advances in Artificial Intelligence (AI) and Machine Learning (ML). A new Bayesian ML software is being developed to identify a 6 degrees of freedom (6-DoF) quasisteady model using simulated flight test data. To achieve this, data from the CAE Sample electric Vertical Take-Off and Landing (eVTOL) simulation platform vehicle during hover maneuvers is utilized. Additionally, this paper presents results on extending the model to include rotor dynamics using the classical SI approach for comparison purposes. In summary, all methods provide a high-fidelity model; with the higher model structure, the vertical acceleration match was noticeably better.","url":"https://doi.org/10.4050/f-0080-2024-1230","authors":["Kenneth Hui","Claudia Hodonou","Vincent Myrand-Lapierre"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-09-20T16:24:32Z","doi":"10.4050/f-0080-2024-1230","addedAt":"2026-08-31T06:39:37.267Z","updatedAt":"2026-08-31T14:45:35.252Z"},{"id":"doi:10.2514/6.2024-1086","name":"Design optimization and mission efficiency analysis of an eVTOL","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2024-1086","authors":["Gabriel G. Souza","Gabriel Guimaraes dos Santos","Pedro Davim Bastos","Higor Luis Silva"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-01-29T21:44:33Z","doi":"10.2514/6.2024-1086","addedAt":"2026-08-31T06:39:37.267Z","updatedAt":"2026-08-31T06:39:37.267Z"},{"id":"doi:10.1016/j.ast.2022.107595","name":"Joint routing and charging optimization for eVTOL aircraft recovery","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.ast.2022.107595","authors":["Zhen Guo","Mengyan Hao","Jiaming Liu","Bin Yu","Yu Jiang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2022-04-29T12:38:24Z","doi":"10.1016/j.ast.2022.107595","addedAt":"2026-08-31T06:39:37.267Z","updatedAt":"2026-08-31T06:39:39.467Z"},{"id":"doi:10.2514/6.2024-0719","name":"COBRA-DDP: Trajectory Generation and Collision Avoidance Augmentations for eVTOL Vehicles","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2024-0719","authors":["Matthew D. Houghton","Michael J. Acheson","Andrew Patterson","Alex Oshin","Irene M. Gregory"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-01-29T21:43:20Z","doi":"10.2514/6.2024-0719","addedAt":"2026-08-31T06:39:37.267Z","updatedAt":"2026-08-31T06:39:37.267Z"},{"id":"doi:10.1016/j.apenergy.2022.120409","name":"Economic and emission reduction benefits of the implementation of eVTOL aircraft with bi-directional flow as storage systems in islands and case study for Canary Islands","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.apenergy.2022.120409","authors":["Néstor Velaz-Acera","Javier Álvarez-García","David Borge-Diez"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2022-12-05T07:54:42Z","doi":"10.1016/j.apenergy.2022.120409","addedAt":"2026-08-31T06:39:37.267Z","updatedAt":"2026-08-31T06:39:39.468Z"},{"id":"doi:10.1007/s10694-026-01944-w","name":"Venting Characteristics and Explosion Hazards of Cylindrical Batteries for eVTOL Aircraft","source":"openalex","abstract":"","url":"https://doi.org/10.1007/s10694-026-01944-w","authors":["Huichang Niu","Xiaochuan Zhang","Jie Liu","Yintong Liu","Cong Hou","Qinghao Chen","Wentao Ye"],"tags":["Ignition system","Explosive material","Flammable liquid","Battery pack","Nuclear engineering"],"confidence":0.72,"sites":["low-altitude"],"publishedDate":"2026-06-18","doi":"10.1007/s10694-026-01944-w","addedAt":"2026-08-31T06:39:37.267Z","updatedAt":"2026-08-31T14:45:35.251Z"},{"id":"doi:10.1088/1742-6596/2385/1/012072","name":"Conceptual design and sizing optimization based on minimum energy consumption of lift-cruise type eVTOL aircraft powered by battery and fuel cell for urban air mobility","source":"crossref","abstract":"Abstract In conceptual studies and prototypes of aerial vehicles for Urban Air Mobility, batteries are generally adopted as only energy sources. However, batteries have a long charging time that is not suitable for consecutive flights, and a low energy density that limits the range and flight time of the aircraft. For this reason, the hybrid propulsion solution consisting of a battery and a fuel cell has attracted attention in aviation in recent years. This study proposes the conceptual design of a VTOL (Vertical Take-Off and Landing) aircraft for passenger transportation in metropolitan areas by the synergic optimization of the aircraft configuration and the sizing of the propulsion system aimed at minimizing the power request in cruise. In the proposed conceptual design method, VTOL type aircraft is powered by either the battery or the fuel cell according to the flight phase. A multivariate nonlinear optimization problem using as goal the minimization of the fuel cell size is solved. The optimal values of battery size, wing loading, aspect ratio, endurance speed, aircraft weight, maximum lift coefficient, disk loading, rotor solidity, and zero-lift drag coefficient are determined from the solution of the optimization problem.","url":"https://doi.org/10.1088/1742-6596/2385/1/012072","authors":["Teresa Donateo","Hasan Çinar"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2022-12-22T16:52:01Z","doi":"10.1088/1742-6596/2385/1/012072","addedAt":"2026-08-31T06:39:37.267Z","updatedAt":"2026-08-31T06:39:39.468Z"},{"id":"doi:10.1109/ispcem64498.2024.00052","name":"Research and Design of eVTOL Garage Scheduling and Management Systems for Urban Air Mobility","source":"crossref","abstract":"","url":"https://doi.org/10.1109/ispcem64498.2024.00052","authors":["Gaoyuan Ge"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-02-14T18:25:13Z","doi":"10.1109/ispcem64498.2024.00052","addedAt":"2026-08-31T06:39:37.267Z","updatedAt":"2026-08-31T14:45:35.252Z"},{"id":"doi:10.1016/j.apenergy.2022.120160","name":"A refined sizing method of fuel cell-battery hybrid system for eVTOL aircraft","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.apenergy.2022.120160","authors":["Junhwi Park","Donguk Lee","Daejin Lim","Kwanjung Yee"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2022-10-27T00:08:05Z","doi":"10.1016/j.apenergy.2022.120160","addedAt":"2026-08-31T06:39:37.267Z","updatedAt":"2026-08-31T06:39:39.468Z"},{"id":"doi:10.4050/f-0080-2024-1106","name":"Flight Dynamics Conceptual Design Exploration of Multirotor eVTOL","source":"crossref","abstract":"The advent of electric propulsion is revolutionizing the paradigm of rotorcraft design, leading to new electric Vertical Take-Off and Landing (eVTOL) aircraft. Direct drive topologies are common within these new designs, and some designers have chosen to utilize this mechanism for Primary Flight Control (PFC), effectively utilizing the aircraft engines as PFC actuators to control the speed of the rotors. This decision integrates the propulsion and flight control systems, and intrinsically couples the aircraft sizing and control. Four separate tools were exercised throughout this study to conduct a conceptual design exploration of eVTOL aircraft handling qualities. The main tasks for these tools were: 1) aircraft sizing and performance analysis, including the calculation of trim; 2) flight dynamics modeling and analysis; 3) handling qualities-centric control law optimization; and 4) electric motor sizing. Sizing of an RPM-controlled Hexacopter concept explored the dependency of aircraft size to fundamental design parameters: 1) disk loading and 2) blade loading coefficient. Increasing the design disk loading resulted in designs with high agility, but at the cost of significant growth in the design gross weight. Finally, Categories II and III pilot-induced-oscillation (PIO) are known potentially-catastrophic handling qualities deficiencies of fly-by-wire flight control systems such as those expected of eVTOL aircraft. Consideration of PIO predictive metrics in conceptual design control synthesis led to increased PIO robustness.","url":"https://doi.org/10.4050/f-0080-2024-1106","authors":["Carlos Malpica","Christopher Silva","Peter Suh"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-07-03T13:35:30Z","doi":"10.4050/f-0080-2024-1106","addedAt":"2026-08-31T06:39:37.267Z","updatedAt":"2026-08-31T14:45:35.252Z"},{"id":"doi:10.2514/6.2024-0336","name":"Evaluating eVTOL Network Performance and Fleet Dynamics through Simulation-Based Analysis","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2024-0336","authors":["Emin Burak Onat","Vishwanath Bulusu","Anjan Chakrabarty","Mark Hansen","Raja Sengupta","Banavar Sridhar"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-01-29T21:40:31Z","doi":"10.2514/6.2024-0336","addedAt":"2026-08-31T06:39:37.267Z","updatedAt":"2026-08-31T06:39:37.267Z"},{"id":"doi:10.4050/f-0080-2024-0034","name":"Full-Scale eVTOL Rotor Icing Wind Tunnel Testing","source":"crossref","abstract":"In recent years, the electrically powered Urban Air Mobility (UAM) market has witnessed significant growth, fueled by advances in electric motor and high-power-density lithium battery technologies. This surge of interest has prompted an exploration into the design and functionality of electric vertical take-off and landing (eVTOL) vehicles, particularly those with multi-tilt-rotor configurations. These eVTOL vehicles, capable of operating at higher RPMs than traditional helicopters, face unique challenges, especially under adverse environmental conditions such as icing. Aircraft airframe icing is known to severely compromise the operational efficiency and safety of aerodynamic surfaces, posing a significant threat to the operational capabilities of eVTOL vehicles. This paper presents the development and testing of a full-scale eVTOL rotor test stand that was designed to assess the impact of icing on these novel vehicles. The study focuses on evaluating eVTOL configurations under specific atmospheric conditions outlined in the Federal Aviation Regulation (FAR) Appendix C. The research aims to provide insights into the dangers imposed by icing and to collect experimental ice shapes in these unique configurations. This comprehensive data will aid in validating icing models and could help contribute to the formulation of eVTOL icing rules and regulations, improving the safety and viability of these vehicles in commercial airspace. A full-scale eVTOL rotor test stand was developed and tested in the Rail Tec Arsenal icing wind tunnel. In total 23 experimental conditions yielding 62 reference points were analyzed. The samples were compared to current state of the art 2D modified LEWICE prediction software based on maximum leading edge thickness and horn height. Of the 13 rime cases, 100% were within ±30% of the experimental results. 73.9% of mixed cases were within these bounds and 34.6% of glaze cases satisfied this criteria. Only a single horn out of 23 cases (4%) was within these bounds. Horn structures and other large features were unable to be successfully captured by 2D prediction models. Current 2D modeling software is sufficient at predicting leading edge ice thickness at temperatures at or lower than −10oC. Accuracy decreased as temperature increased, and other factors like SLDs negatively affected the prediction accuracy. It was empirically determined that there was no observable spanwise LWC variation during testing that could account for model uncertainty. Additionally, LWC changes through the rotor plane were also measured. A comparison between full and truncated blades was also performed. Straight-cut, truncated tips have a negative effect on ice shape development that is unaccounted for in 2D ice accretion models. Finally, it was determined that for an eVTOL trying to land after accreting ice in cruise, there would be an approximately 15%-30% additional power requirement (RPM held constant), dependent on icing conditions. The overarching goal of this work was to showcase the implications of icing on eVTOLs, with the ultimate goal of ensuring their operational integrity in diverse climatic conditions. This research represents a necessary step towards establishing eVTOLs icing testing, for efficient, and reliable urban air mobility.","url":"https://doi.org/10.4050/f-0080-2024-0034","authors":["Geoffrey Karli","Jose Palacios","Sihong Yan"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-09-20T17:50:38Z","doi":"10.4050/f-0080-2024-0034","addedAt":"2026-08-31T06:39:37.267Z","updatedAt":"2026-08-31T14:45:35.252Z"},{"id":"doi:10.1049/et.2024.0520","name":"Big Picture: First eVTOL flight across the Yangtze River. [Inspire - Air Taxi]","source":"crossref","abstract":"","url":"https://doi.org/10.1049/et.2024.0520","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-10-23T14:16:16Z","doi":"10.1049/et.2024.0520","addedAt":"2026-08-31T06:39:37.267Z","updatedAt":"2026-08-31T14:45:35.252Z"},{"id":"doi:10.1007/s42405-026-01180-0","name":"Design of Lift Plus Cruise eVTOL Aircraft with Initial Fuselage Frame Design","source":"crossref","abstract":"Abstract Electric vertical take-off and landing (eVTOL) vehicles are proposed for urban air mobility to alleviate traffic congestion. While many conceptual designs exist, bridging the gap to detailed design requires further investigation. This study proposes both conceptual and detailed designs for a lift-plus-cruise eVTOL. Multiple software applications, including the NASA Design and Analysis of Rotorcraft, DATCOM, VSPAERO, CAMRAD II, and MATLAB, are integrated for weight estimation and performance analysis of the vehicle. The proposed structural design task provides an initial fuselage airframe that was completed using both topology optimization considering the weight factors of various flight maneuvers and a manual design procedure for the fuselage airframe, followed by static structural and modal analyses. The proposed design is compatible with certification regulations, ensures structural integrity, and prevents resonance between the rotors and the major structural modes of the fuselage.","url":"https://doi.org/10.1007/s42405-026-01180-0","authors":["Aerok Kim","Wonseok Cha","Sunhoo Park","Chihyun Ahn","Yooho Byron Chang","Keeyoung Choi","Sang Joon Shin"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-05-02T17:03:34Z","doi":"10.1007/s42405-026-01180-0","addedAt":"2026-08-31T06:39:37.267Z","updatedAt":"2026-08-31T06:39:38.731Z"},{"id":"doi:10.2139/ssrn.4835469","name":"Research on Battery Heat Generation Characteristics and Thermal Management System Applied to a Typical Evtol","source":"openalex","abstract":"","url":"https://doi.org/10.2139/ssrn.4835469","authors":["Zhiwei Wu","Wenlei Lian","Chenming Zheng","Boyu Chen"],"tags":["Battery (electricity)","Thermal management of electronic devices and systems","Thermal","Environmental science","Computer science"],"confidence":0.72,"sites":["low-altitude"],"publishedDate":"2024-01-01","doi":"10.2139/ssrn.4835469","addedAt":"2026-08-31T06:39:37.267Z","updatedAt":"2026-08-31T14:45:35.251Z"},{"id":"doi:10.3934/mina.2024011","name":"Machine learning-based surrogates for eVTOL performance prediction and design optimization","source":"openalex","abstract":"&lt;p&gt;Predicting the performance of different electric vertical take-off and landing (eVTOL) vehicle designs is paramount to vehicle manufacturers and hobbyists. These vehicles' maximum flight time (endurance) and maximum flight distance (range) depend on design and operational parameters relating to their structure, propulsion system, payload, and mission profile. In recent years, sophisticated physics-based models have been developed to estimate and optimize their aerodynamic, propulsion, and electrical performance. Integrating and simulating those models can closely estimate a vehicle's endurance and range. However, this demands advanced knowledge of different subsystems utilized and extensive computational resources limiting the wide-scale utilization of such models. This paper showcases the development and implementation of a framework to train simpler machine learning-based surrogates. The surrogate models are trained on a limited number of eVTOL performance estimates generated by physics-based models and can mimic them accurately. Forty-seven thousand eVTOL vehicle designs were simulated to generate the training data for various machine-learning models. These include several decision tree models, K-nearest neighbor models, linear regression models, and a multi-perceptron neural network model. Vehicle design and operational parameters such as propeller size, payload mass, drag coefficient, velocity, and motor and battery parameters are used as features, and vehicle endurance and range estimates are used as targets. Compared to the alternative approaches, these surrogate models are computationally very efficient and easy to understand and use. Testing on hold-out datasets shows excellent performance, with multiple models having a mean average percentage error of less than 2% in estimating vehicle endurance and range.&lt;/p&gt;","url":"https://doi.org/10.3934/mina.2024011","authors":["Jubilee Prasad Rao","Sai Naveen Chimata"],"tags":["Payload (computing)","Range (aeronautics)","Performance prediction","Computer science","Surrogate model"],"confidence":0.72,"sites":["low-altitude"],"publishedDate":"2024-01-01","doi":"10.3934/mina.2024011","addedAt":"2026-08-31T06:39:37.267Z","updatedAt":"2026-08-31T14:45:35.252Z"},{"id":"doi:10.1109/jestie.2026.3694530","name":"Environmental Assessment of Ultralightweight DC–DC Converters for Future eVTOL Aircraft With Hybrid Power Supply","source":"crossref","abstract":"","url":"https://doi.org/10.1109/jestie.2026.3694530","authors":["Luc Imperiali","Johann W. Kolar","Jonas Huber"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-05-18T19:49:12Z","doi":"10.1109/jestie.2026.3694530","addedAt":"2026-08-31T06:39:37.267Z","updatedAt":"2026-08-31T06:39:38.731Z"},{"id":"doi:10.2514/6.2024-3333","name":"High-Fidelity Simulations of Vertiport Ground Effects on eVTOL Rotor Noise","source":"openalex","abstract":"Rotor noise is a significant challenge for e-VTOL (Electric Vertical Take-Off and Landing), as it impacts the community around it. This study investigates the complex aerodynamic interactions and aeroacoustics of rotor systems in e-VTOL aircraft. The research encompasses three simulations, including an isolated rotor, full ground, and half ground to simulate proximity to a building top. An OpenFOAM solver is utilized to conduct a hybrid Large Eddy Simulation (LES)-Unsteady Reynolds Averaged Navier-Stokes (RANS) simulations, and the noise will be calculated using the FW-H equation. The goal is to assess the impact of full and partial ground-effects and vortical interactions on aerodynamic efficiency and performance of small rotors. Preliminary results have demonstrated promising alignment with experimental thrust values, suggesting the effectiveness of the chosen approaches.","url":"https://doi.org/10.2514/6.2024-3333","authors":["Michael Marques Goncalves","Vladimir V. Golubev","Anastasios S. Lyrintzis","Reda R. Mankbadi"],"tags":["Rotor (electric)","Noise (video)","Fidelity","Computer science","High fidelity"],"confidence":0.72,"sites":["low-altitude"],"publishedDate":"2024-05-30","doi":"10.2514/6.2024-3333","addedAt":"2026-08-31T06:39:37.267Z","updatedAt":"2026-08-31T14:45:35.251Z"},{"id":"doi:10.2139/ssrn.4956084","name":"Rapid Integrated Design Verification of Evtol Uavs Based on Modified Model-Based Systems Engineering","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.4956084","authors":["Zhuo Bai","Mingli Song","Zhong Tian","Bangchu Zhang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-09-14T00:48:30Z","doi":"10.2139/ssrn.4956084","addedAt":"2026-08-31T06:39:37.267Z","updatedAt":"2026-08-31T06:39:37.267Z"},{"id":"doi:10.3390/electronics13101911","name":"Transfer-Learning-Enhanced Regression Generative Adversarial Networks for Optimal eVTOL Takeoff Trajectory Prediction","source":"crossref","abstract":"Electric vertical takeoff and landing (eVTOL) aircraft represent a crucial aviation technology to transform future transportation systems. The unique characteristics of eVTOL aircraft include reduced noise, low pollutant emission, efficient operating cost, and flexible maneuverability, which in the meantime pose critical challenges to advanced power retention techniques. Thus, optimal takeoff trajectory design is essential due to immense power demands during eVTOL takeoffs. Conventional design optimizations, however, adopt high-fidelity simulation models in an iterative manner resulting in a computationally intensive mechanism. In this work, we implement a surrogate-enabled inverse mapping optimization architecture, i.e., directly predicting optimal designs from design requirements (including flight conditions and design constraints). A trained inverse mapping surrogate performs real-time optimal eVTOL takeoff trajectory predictions with no need for running optimizations; however, one training sample requires one design optimization in this inverse mapping setup. The excessive training cost of inverse mapping and the characteristics of optimal eVTOL takeoff trajectories necessitate the development of the regression generative adversarial network (regGAN) surrogate. We propose to further enhance regGAN predictive performance through the transfer learning (TL) technique, creating a scheme termed regGAN-TL. In particular, the proposed regGAN-TL scheme leverages the generative adversarial network (GAN) architecture consisting of a generator network and a discriminator network, with a combined loss of the mean squared error (MSE) and binary cross-entropy (BC) losses, for regression tasks. In this work, the generator employs design requirements as input and produces optimal takeoff trajectory profiles, while the discriminator differentiates the generated profiles and real optimal profiles in the training set. The combined loss facilitates the generator training in the dual aspects: the MSE loss targets minimum differences between generated profiles and training counterparts, while the BC loss drives the generated profiles to share analogous patterns with the training set. We demonstrated the utility of regGAN-TL on optimal takeoff trajectory designs for the Airbus A3 Vahana and compared its performance against representative surrogates, including the multi-output Gaussian process, the conditional GAN, and the vanilla regGAN. Results showed that regGAN-TL reached the 99.5% generalization accuracy threshold with only 200 training samples while the best reference surrogate required 400 samples. The 50% reduction in training expense and reduced standard deviations of generalization accuracy achieved by regGAN-TL confirmed its outstanding predictive performance and broad engineering application potential.","url":"https://doi.org/10.3390/electronics13101911","authors":["Shuan-Tai Yeh","Xiaosong Du"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-05-13T08:33:03Z","doi":"10.3390/electronics13101911","addedAt":"2026-08-31T06:39:37.267Z","updatedAt":"2026-08-31T06:39:37.267Z"},{"id":"doi:10.1109/syscon61195.2024.10553491","name":"Application of MBSE Approach in eVTOL Development for Air Ambulance Service","source":"openalex","abstract":"Today, the demand of quick, eco-friendly, and efficient travel facilitates the global UAV market [1] has given rise to the emergence of air ambulance service as a critical segment from UAM sector. This paper describes the application of systems engineering application in the development of eVTOL aircraft for Emergency Medical Service mission. By employing MBSE methodologies and leveraging complementary tools like UML, Drawio and Capella, this paper demonstrates a systematic and effective translation of engineering concepts into comprehensive system functional design and physical architecture solutions. The results of the potential users uncover design precisions and key stakeholders communication, while also noting encountered challenges such as integration complexities, notably in the domains of spatial considerations and payload requirements. The purpose of the paper exists not only to show how design engineering methodologies to support system design and architecture analysis but also contributes the critical data in UAV air emergency medical service and lessons learned, setting the stage for future research directions.","url":"https://doi.org/10.1109/syscon61195.2024.10553491","authors":["Yue Liu","Spandan Gangopadhyay","Aakash Rathore","Marc-Antoine Azar","Tian Qiao","S. K. GANGOPADHYAY","M Bagherzadeh Azar","Qiao Tian"],"tags":["Ambulance service","Computer science","Service (business)","Systems engineering","Engineering"],"confidence":0.72,"sites":["low-altitude"],"publishedDate":"2024-04-15","doi":"10.1109/syscon61195.2024.10553491","addedAt":"2026-08-31T06:39:37.267Z","updatedAt":"2026-08-31T14:45:35.252Z"},{"id":"doi:10.4050/sm_evtol_2026-5236","name":"TVF 2026 - eVTOL Progress : eVTOL Updates from Europe and China by Flying Pages GmbH","source":"crossref","abstract":"eVTOL Updates from Europe and China by Flying Pages GmbH","url":"https://doi.org/10.4050/sm_evtol_2026-5236","authors":["Willi Tacke"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-07-20T20:08:58Z","doi":"10.4050/sm_evtol_2026-5236","addedAt":"2026-08-31T06:39:37.267Z","updatedAt":"2026-08-31T06:39:38.731Z"},{"id":"doi:10.1007/s12555-021-0915-1","name":"LPV Model-based Adaptive MPC of an eVTOL Aircraft During Tilt Transition Subject to Motor Failure","source":"crossref","abstract":"","url":"https://doi.org/10.1007/s12555-021-0915-1","authors":["Shen Qu","Guoming Zhu","Weihua Su","Sean Shan-Min Swei"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-01-30T12:02:53Z","doi":"10.1007/s12555-021-0915-1","addedAt":"2026-08-31T06:39:37.267Z","updatedAt":"2026-08-31T06:39:39.468Z"},{"id":"doi:10.2514/6.2024-4423","name":"Multiobjective Parameter Optimization of an eVTOL Controller Incorporating Lead-Lag Filters for Increased Robustness","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2024-4423","authors":["Cedric Kotitschke","Tim Rupprecht","Agnes Steinert","Philipp Müller","Florian Holzapfel"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-09-20T04:30:37Z","doi":"10.2514/6.2024-4423","addedAt":"2026-08-31T06:39:37.267Z","updatedAt":"2026-08-31T06:39:37.267Z"},{"id":"doi:10.54097/2mtzqm72","name":"Efficiency Improvements for eVTOL Based on Vented Duct Geometry","source":"crossref","abstract":"In reality, eVTOL aircraft have substantial promise in revolutionizing transportation within cities and other short distances due to their ability to take off in confined spaces and the low emissions and noise generated with eVTOL aircraft. However, eVTOL aircraft are still limited by battery technology. Current battery systems draw inspiration from the automotive sector and are capable of ranges of up to 150 miles. Continuing to increase efficiency will be beneficial to allow eVTOL aircraft to be used in applications where greater range is needed, e.g., search and rescue and in the general UAM application to further shorten downtime experienced for charging. In this study, a novel vented duct geometry utilizing entrainment is investigated and found to have doubled thrust generated. The test and reference duct were constructed utilizing a modified NACA airfoil and tested with Simscale CFD software. The vented duct geometry was found to produce a significant thrust increase over a reference duct. Nevertheless, the need was found for optimizing the vent geometry as eddy currents were observed to appear and thus limit the amount of air entrained. Other analysis methods including PIV were suggested to optimize the geometry to prevent eddy currents. Adopting the geometry would allow for increases in range without the need for complex additional energy stores (e.g., hydrogen), decreasing cost and complexity needed to optimize efficiency of eVTOL aircraft. Successfully implementing this propulsor geometry would unlock applications like regional routes and longer endurance/range operations.","url":"https://doi.org/10.54097/2mtzqm72","authors":["Marcus Hin Luen Chu"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-01-24T01:01:24Z","doi":"10.54097/2mtzqm72","addedAt":"2026-08-31T06:39:37.267Z","updatedAt":"2026-08-31T06:39:37.267Z"},{"id":"doi:10.2514/6.2024-4424","name":"Multi-Objective Gain Design for Enhanced Nonlinear Closed Loop Performance and Robustness for eVTOL Applications","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2024-4424","authors":["Michael M. Marb","David Braun","Florian Holzapfel"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-09-20T08:30:37Z","doi":"10.2514/6.2024-4424","addedAt":"2026-08-31T06:39:37.267Z","updatedAt":"2026-08-31T06:39:37.267Z"},{"id":"doi:10.1109/iv55156.2024.10588875","name":"Investigating eVTOL Passenger Preferences in South Korea: Safety, Vertiport Location, and Weight","source":"crossref","abstract":"","url":"https://doi.org/10.1109/iv55156.2024.10588875","authors":["Patricia B. Appel","Ye Eun Song","Andreas Riener"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-07-15T17:19:28Z","doi":"10.1109/iv55156.2024.10588875","addedAt":"2026-08-31T06:39:37.267Z","updatedAt":"2026-08-31T14:45:35.252Z"},{"id":"doi:10.4050/f-0078-2022-1261","name":"Towards Handling Qualities and Automation Assessment for Certification of eVTOL Aircraft","source":"openalex","abstract":"Led by the Federal Aviation Administration (FAA), research is being conducted to develop certification means of compliance methods for small aircraft including the emerging class of advanced air mobility vehicles that will transition from thrust-borne flight to wing-borne flight and vice versa. These vehicles typically feature highly augmented fly-by-wire flight control systems that offer advanced flight control modes designed for simplified vehicle operations and in many cases completely autonomous flight operations. The emerging means of compliance methods will feature special classes of flight test maneuvers that address the assessments of the vehicle system, flying qualities, handling qualities, and increasing automation. Inspiration for this approach comes from the Army's Aeronautical Design Standard ADS-33-E-PRF that introduced a mission-oriented approach to address handling qualities via predictive requirements and specified flight test maneuvers - Mission Task Elements. Whereas ADS-33E-PRF prescribes methodologies through a procurement process, the FAA seeks a means to determine that a minimum safety standard has been met by an aircraft presented for certification. Thus, the flight test maneuvers as conceived here form a holistic approach to determine acceptable handling qualities via a process that encompasses the period between Type Certification (TC) application to the point where the TC is granted. To facilitate the process further, a team led by Systems Technology, Inc. (STI) is developing a flight test guide that will support the safe and repeatable execution of these flight test maneuvers. This paper provides an overview of not only the holistic approach to handling qualities assessments, but also the key elements of the flight test guide.","url":"https://doi.org/10.4050/f-0078-2022-1261","authors":["Michael Jones","David Klyde","David Sizoo","Ross Schaller","David Webber","Johannes van Houdt","Michael Feary","David Mitchell","Martin Schubert","Rick Simmons","Michael W. Jones"],"tags":["Certification","Flight test","Engineering","Process (computing)","Aviation"],"confidence":0.72,"sites":["low-altitude"],"publishedDate":"2022-05-10","doi":"10.4050/f-0078-2022-1261","addedAt":"2026-08-31T06:39:37.267Z","updatedAt":"2026-08-31T14:45:35.251Z"},{"id":"doi:10.36227/techrxiv.173221406.68664071/v1","name":"Automating eVTOL Airworthiness Certification Using MBSE and Large Language Models: A Framework for Regulatory Alignment","source":"crossref","abstract":"The rapid development of Electric Vertical Take Off and Landing (eVTOL) aircraft is transforming urban aviation, introducing new challenges for airworthiness certification an essential process to ensure operational safety and regulatory compliance. This paper presents a Type Certification framework for eVTOL aircraft, leveraging the Arcadia Model-Based Systems Engineering (MBSE) approach through the Capella tool. This framework replaces traditional document-based methods with a model-driven approach that integrates regulatory standards and Means of Compliance (MoCs) into a unified system model. Additionally, automation is introduced through Large Language Models (LLMs) to dynamically predict and validate MoCs from textual requirements, streamlining checklist generation and enabling rapid adaptation to evolving regulations. While the framework improves efficiency, it complements rather than replaces expert supervision, emphasizing the importance of human oversight in complex regulatory contexts. The proposed framework is scalable and adaptable, applicable not only to various eVTOL platforms but also to other emerging aircraft types. Findings from case studies and expert evaluations demonstrate a significant reduction in workload, enabling faster certification while maintaining accuracy and regulatory alignment. This study offers a replicable, efficient model for certification that fosters the adoption of emerging technologies while ensuring high safety standards and supporting sustainable growth in urban air mobility.","url":"https://doi.org/10.36227/techrxiv.173221406.68664071/v1","authors":["Daniel Rondon Pleffken","Guilherme Moreira","Vitor Oliveira Bourguignon","Christopher Shneider Cerqueira"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-11-21T13:34:32Z","doi":"10.36227/techrxiv.173221406.68664071/v1","addedAt":"2026-08-31T06:39:37.267Z","updatedAt":"2026-08-31T06:39:37.267Z"},{"id":"doi:10.4050/f-0080-2024-1093","name":"Minimum Energy Performance for Autonomous Control of Tiltrotor eVTOL Operations","source":"crossref","abstract":"The paper presents a novel strategy for minimum energy consumption in automatic conversion control of tiltrotor eVTOL aircraft, exemplified by the Aston Martin Volante Vision model. We introduce a tilt schedule methodology that strategically balances conversion and reconversion performance with climb, descent, and cruise phases to minimize overall energy expenditure. Our approach accounts for critical factors such as blade loading, operation handling qualities, and passenger ride comfort within a predefined conversion corridor. The optimized trajectories approximate the minimum energy pathway, essential for operational efficiency in urban air mobility. Analytical results demonstrate that our proposed conversion and reconversion phase profiles significantly reduce energy consumption, contributing to the sustainability of tiltrotor flight operations. This research not only enhances understanding of tiltrotor dynamics but also serves as a pivotal step toward achieving globally optimized energy usage, marking a significant advancement in autonomous flight technology for advanced air mobility systems.","url":"https://doi.org/10.4050/f-0080-2024-1093","authors":["Namuk Kang","James Whidborne","Linghai Lu"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-09-20T14:39:28Z","doi":"10.4050/f-0080-2024-1093","addedAt":"2026-08-31T06:39:37.267Z","updatedAt":"2026-08-31T14:45:35.252Z"},{"id":"doi:10.1007/978-981-19-2689-1_14","name":"Conceptual Design and System Level Analysis of Tilt-Duct eVTOL Aircraft","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-981-19-2689-1_14","authors":["Jiechao Zhang","Yaolong Liu","Tianhong Jiang","Yao Zheng"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2022-08-30T12:02:55Z","doi":"10.1007/978-981-19-2689-1_14","addedAt":"2026-08-31T06:39:37.267Z","updatedAt":"2026-08-31T06:39:39.468Z"},{"id":"doi:10.4050/f-0080-2024-1336","name":"Predictions of eVTOL Broadband Noise from High-Fidelity CFD Loads","source":"crossref","abstract":"This study examines the acoustics of a wing operating in the wake of a propeller. The propeller wing system is simulated at 24 knots cruise and 8° wing angle of attack. The propeller is simulated using an actuator line model, while the wing is simulated using two different turbulence models: a DDES turbulence model and a higher fidelity LES model. Chordwise compact loads, on-wing pressure surfaces, and pressure surfaces at distances of 2.34% and 10% thickness around the wing surface are used as inputs to PSU-WOPWOP to predict noise at an observer below the wing. Using on-wing surface pressures, the LES broadband noise predictions are 13.5 dB higher than DDES. Chordwise compact loads result in lower noise predictions than on-wing surface pressures, by 11.3 dB for LES and 2.3 dB for DDES. Using off-body pressure surfaces, DDES results remain similar to noise predictions from on-wing pressure surfaces, but with LES the broadband noise predictions are about 2.5 dB lower.","url":"https://doi.org/10.4050/f-0080-2024-1336","authors":["Brendan Smith","Farhan Gandhi","Ullhas Hebbar"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-05-29T18:03:10Z","doi":"10.4050/f-0080-2024-1336","addedAt":"2026-08-31T06:39:37.267Z","updatedAt":"2026-08-31T14:45:35.252Z"},{"id":"doi:10.25144/21564","name":"MILITARY AIRCRAFT NOISE","source":"crossref","abstract":"","url":"https://doi.org/10.25144/21564","authors":["JS HALL"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-05-01T09:15:20Z","doi":"10.25144/21564","addedAt":"2026-08-31T06:39:37.267Z","updatedAt":"2026-08-31T06:39:37.267Z"},{"id":"doi:10.1007/s42405-024-00772-y","name":"Dynamic Takeoff and Landing Control for Multi-Rotor eVTOL Aircraft","source":"crossref","abstract":"","url":"https://doi.org/10.1007/s42405-024-00772-y","authors":["Jida Chen","Yugang Liu","Xinjie Chen","Liying Tang","Ziang Xiong"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-07-09T14:09:16Z","doi":"10.1007/s42405-024-00772-y","addedAt":"2026-08-31T06:39:37.267Z","updatedAt":"2026-08-31T06:39:39.325Z"},{"id":"doi:10.1109/tits.2026.3671693","name":"Mixed Motion Sickness in eVTOL Aircraft: A Survey of Mechanisms, Measurement, Estimation, and Mitigation","source":"openalex","abstract":"Electric vertical takeoff and landing (eVTOL) aircraft are anticipated to become a cornerstone of future urban air mobility (UAM) and intelligent three-dimensional transportation systems in smart cities. Enhancing passenger comfort is crucial for improving public acceptance of eVTOLs. However, motion sickness (MS) monitoring and mitigation pose key challenges in this context. This paper presents a comprehensive review of MS research for eVTOL applications, focusing on mixed MS induced by the combined effects of physical motion and visual stimuli in intelligent eVTOL cockpits. The underlying theories and MS-related eVTOL characteristics are first examined, based on which the technologies capable of quantifying and estimating mixed MS are then reviewed. The usage of multi-modal visual and physiological signals combined with classical MS theories is highlighted. Subsequently, the methods for MS alleviation in eVTOLs are investigated. Lastly, this work delineates critical challenges stemming from eVTOL feature complexity, eVTOL-specific MS data scarcity, intricate mixed MS modeling, and its neglect in intelligent flight systems. A potential monitoring and mitigating framework for MS in eVTOL is proposed to bridge these gaps and advance practical development.","url":"https://doi.org/10.1109/tits.2026.3671693","authors":["Gege Cui","Hailong Huang"],"tags":["Motion sickness","Bridge (graph theory)","Engineering","Computer science","Motion (physics)"],"confidence":0.72,"sites":["low-altitude"],"publishedDate":"2026-03-11","doi":"10.1109/tits.2026.3671693","addedAt":"2026-08-31T06:39:37.594Z","updatedAt":"2026-08-31T14:45:35.251Z"},{"id":"doi:10.4050/f-0080-2024-1105","name":"Overview of RCAS Capabilities and Validations for Rotorcraft and eVTOL Applications","source":"crossref","abstract":"This paper presents an overview of the Rotorcraft Comprehensive Analysis System (RCAS) capabilities, recent enhancements, validations, and application to practical rotorcraft and electric vertical take-off and landing (eVTOL) problems. Nine years have passed since a similar paper was presented in Ref. 1; and 20 years since the first RCAS overview paper was published in Ref. 2. RCAS has been continually enhanced over the last nine years and there have been several significant developments. This paper summarizes these developments, which include improvement of existing structural modeling, better support for multi-rotor variable RPM modeling, enhanced vortex wake and airloads modeling options, expansion of coupling with CFD modules, and improvements to the graphical user interface. This paper also surveys the body of recent RCAS validations, which has greatly expanded since the last paper. RCAS validations now include detailed work on tiltrotor hover and cruise performance, loads, and whirl flutter stability, and coaxial rotor and compound helicopter performance and loads, in addition to conventional rotorcraft configurations. Validation studies are being conducted for eVTOL configurations. This paper provides the rotorcraft technical community with an up-to-date and consolidated resource on RCAS by summarizing capabilities, recent developments, and validations, while also demonstrating selected applications.","url":"https://doi.org/10.4050/f-0080-2024-1105","authors":["Matthew Hasbun","Hyeonsoo Yeo","Hossein Saberi"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-09-20T13:23:08Z","doi":"10.4050/f-0080-2024-1105","addedAt":"2026-08-31T06:39:37.594Z","updatedAt":"2026-08-31T06:39:37.594Z"},{"id":"doi:10.4271/epr2021017","name":"Unsettled Issues Concerning eVTOL for Rapid-response, On-demand\n                    Firefighting","source":"crossref","abstract":"&lt;div class=\"section abstract\"&gt;&lt;div class=\"htmlview paragraph\"&gt;Recent advancements of electric vertical takeoff and landing (eVTOL) aircraft have generated significant interest within and beyond the traditional aviation industry. One promising application for these innovative systems is in firefighting support during urban, rural, and wildland firefighting operations. Future eVTOL firefighting capabilities could include early detection and suppression, civilian rescue, and on-demand aerial deployment and extraction of firefighters.&lt;/div&gt;&lt;div class=\"htmlview paragraph\"&gt;&lt;b&gt;Unsettled Issues Concerning eVTOL for Rapid-response, On-demand Firefighting &lt;/b&gt;identifies the challenges to be addressed so that these capabilities and benefits could be realized at scale: &lt;/div&gt;&lt;div class=\"htmlview paragraph\"&gt;&lt;ul class=\"list disc\"&gt;&lt;li class=\"list-item\"&gt;&lt;div class=\"htmlview paragraph\"&gt;Firefighting-specific eVTOL vehicle development&lt;/div&gt;&lt;/li&gt;&lt;li class=\"list-item\"&gt;&lt;div class=\"htmlview paragraph\"&gt;Sense and avoid capabilities in smoke-inhibited environments&lt;/div&gt;&lt;/li&gt;&lt;li class=\"list-item\"&gt;&lt;div class=\"htmlview paragraph\"&gt;Autonomous and remote operating capabilities&lt;/div&gt;&lt;/li&gt;&lt;li class=\"list-item\"&gt;&lt;div class=\"htmlview paragraph\"&gt;Charging system compatibility and availability&lt;/div&gt;&lt;/li&gt;&lt;li class=\"list-item\"&gt;&lt;div class=\"htmlview paragraph\"&gt;Operator and controller training&lt;/div&gt;&lt;/li&gt;&lt;li class=\"list-item\"&gt;&lt;div class=\"htmlview paragraph\"&gt;Dynamic air space management&lt;/div&gt;&lt;/li&gt;&lt;li class=\"list-item\"&gt;&lt;div class=\"htmlview paragraph\"&gt;Vehicle/fleet logistics and support&lt;/div&gt;&lt;/li&gt;&lt;li class=\"list-item\"&gt;&lt;div class=\"htmlview paragraph\"&gt;First-responder and general public acceptance&lt;/div&gt;&lt;/li&gt;&lt;/ul&gt;&lt;/div&gt;&lt;div class=\"htmlview paragraph\"&gt;&lt;a href=\"https://www.sae.org/publications/edge-research-reports\" target=\"_blank\"&gt;Click here to access the full SAE EDGE&lt;/a&gt;&lt;sup&gt;TM&lt;/sup&gt;&lt;a href=\"https://www.sae.org/publications/edge-research-reports\" target=\"_blank\"&gt; Research Report portfolio.&lt;/a&gt;&lt;/div&gt;&lt;/div&gt;","url":"https://doi.org/10.4271/epr2021017","authors":["Johnny Doo"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2021-08-27T15:04:44Z","doi":"10.4271/epr2021017","addedAt":"2026-08-31T06:39:37.594Z","updatedAt":"2026-08-31T06:39:39.468Z"},{"id":"doi:10.4050/f-0080-2024-1201","name":"Study of Advanced Occupant Models to Quantify Injury Risk for eVTOL Vehicles","source":"crossref","abstract":"Urban transportation is currently evolving from traditional ground-based vehicles (cars, taxis, and buses) to include air-based electric vertical take-off and landing (eVTOL) vehicles which can be utilized for on-demand transportation, cargo transport, and emergency services. These new eVTOL vehicles are designed to be small, lightweight, and able to operate autonomously without user intervention. Safety is a big part of eventual eVTOL adoption, however gaps in the consideration of safety features exist. Anthropomorphic test devices (ATDs) are used in aerospace crashworthiness standards to quantify occupant injury risk and develop improved safety designs for emergency landing situations, but the ATDs currently used in aircraft certification requirements were developed many decades ago. Developments have occurred over the years involving ATD technology, which includes a host of newer and more biofidelic ATDs such as the Test Device for Human Occupant Restraint (THOR). Increased computing power has also allowed for detailed computational human body models (HBMs) to be created, such as the Global Human Body Model Consortium (GHBMC). This study aims to assess the capability of both HBMs and new ATD designs to identify injury mechanisms within eVTOL relevant emergency landing conditions. Finite element (FE) analysis was used to expand upon full-scale and seat level impact testing conducted by researchers at the National Aeronautics and Space Administration (NASA) to look at effects of occupant model configurations on prediction of injury. The GHBMC HBM and THOR ATD models were simulated in the seat level test conditions to characterize differences between these advanced assessment tools and traditional ATDs in the isolated seat loading environment. Results identified key differences in the responses from each of the models utilized and compared their impact response in head, neck, and spinal injury metrics. The THOR model identified potential risks for head injuries due to head impacts on the seat, however it predicted lower spinal loads than the other occupant surrogates. The GHBMC showed distinctly different biomechanical responses compared to the ATD. The GHBMC model is much more deformable than the ATDs and it exhibited higher distribution of forces and increased sensitivity to the duration of acceleration pulses. Both models incorporated into this study identified key mechanisms for injury that should be considered for passenger safety in the development of these novel aircraft. In addition, this study demonstrated the value of FE modeling for running a variety of complex human surrogates to identify potential injury mechanisms for consideration in regulation and development of new aircraft. Continued research in this field to improve validation these models will only lead to safer aircraft and more comprehensive safety measures.","url":"https://doi.org/10.4050/f-0080-2024-1201","authors":["Nathaniel Jones","Jacob Putnam","Costin Untaroiu"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-08-23T14:50:47Z","doi":"10.4050/f-0080-2024-1201","addedAt":"2026-08-31T06:39:37.594Z","updatedAt":"2026-08-31T06:39:37.594Z"},{"id":"doi:10.4050/f-0080-2024-1151","name":"Evaluation of the Potential of Photovoltaics for Extended Flight Times of Small eVTOL UAVs","source":"crossref","abstract":"This paper analyses the possibility of using photovoltaics as additional energy provider for small to medium-sized eVTOL UAVs. A simplified model for eVTOL UAVs, which covers all relevant areas of aircraft design, including aerodynamics, structural mechanics, propulsion and systems modelling, is presented. Sensitivity studies covering various design parameters, such as airfoil, wing geometry and propulsion system selection are performed to show their influence on the configurations' performance. The first result of this paper is, that a photovoltaic powered configuration can outperform a battery electric and it can be worth the effort to implement the solar cells. To achieve this, the aircraft needs to be as aerodynamic efficient as possible. Also higher efficiency solar cells increase the possible performance. Additionally there is a big influence of the time of year and the latitude onto the performance. Secondly a multi mission study is performed. This uses a more detailed model, as the preliminary study. It is to find the best solar eVTOL for a set of missions. A summary of this study's results is presented. Finally the best aircraft configuration, following this study, is presented. The main take aways are, that solar cells can have a positive effect on the overall performance of eVTOL UAVS. However some possible drawbacks are also identified, as the resulting aircraft require rather low speeds and a more complicated mission planning, because solar irradiance needs to be taken into account and monitored during the whole mission.","url":"https://doi.org/10.4050/f-0080-2024-1151","authors":["Thomas Seren","Mirko Hornung"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-09-20T14:39:28Z","doi":"10.4050/f-0080-2024-1151","addedAt":"2026-08-31T06:39:37.594Z","updatedAt":"2026-08-31T06:39:37.594Z"},{"id":"doi:10.2514/6.2024-2474","name":"Design of a Hydrogen-Powered Crashworthy eVTOL Using Multidisciplinary Analysis and Design Optimization","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2024-2474","authors":["Damien Keijzer","Carmelo Simon Soria","Jorick Arends","Barkin Sarigol","Fulvio Scarano","Saullo G. Castro"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-01-29T20:50:11Z","doi":"10.2514/6.2024-2474","addedAt":"2026-08-31T06:39:37.594Z","updatedAt":"2026-08-31T06:39:37.594Z"},{"id":"doi:10.3390/engproc2024080046","name":"Overview of Electric Propulsion Motor Research for EVTOL","source":"crossref","abstract":"","url":"https://doi.org/10.3390/engproc2024080046","authors":["Xiaopeng Zhao","Weiping Yang","Zhangjun Sun","Ying Liu","Wenyang Liu"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-05-07T04:32:59Z","doi":"10.3390/engproc2024080046","addedAt":"2026-08-31T06:39:37.594Z","updatedAt":"2026-08-31T06:39:37.645Z"},{"id":"doi:10.25144/21563","name":"MILITARY AIRCRAFT SOURCE NOISE","source":"crossref","abstract":"","url":"https://doi.org/10.25144/21563","authors":["RA PINKER"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-05-01T09:15:20Z","doi":"10.25144/21563","addedAt":"2026-08-31T06:39:37.594Z","updatedAt":"2026-08-31T06:39:37.594Z"},{"id":"doi:10.4050/sm-2024-tvf-5084","name":"Downwash/Outwash Investigation in Support of eVTOL Landing Operations","source":"crossref","abstract":"The analysis of rotor downwash and outwash (DWOW) for electric vertical takeoff and landing vehicles (eVTOLs) based on tools and experience from conventional helicopter designs was investigated in this study. eVTOL aircraft exhibit diverse rotor configurations compared to traditional helicopters and therefore pose unique challenges in landing area operations. Flow field simulation of an eVTOL configuration in hover and in proximity to the ground was employed for qualitative and quantitative analyses of the rotor wake, including the aerodynamic interactions of adjacent lift rotors and the ground surface. The viscous vortex particle method (VVPM) was investigated for the characterization of the eVTOL DWOW velocities and the development of flow velocity measurement arrangements for simulation validation.","url":"https://doi.org/10.4050/sm-2024-tvf-5084","authors":["Jan Goericke","Jagdeep Batther","Zoren Habana","Maria Muia"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-06-08T22:48:19Z","doi":"10.4050/sm-2024-tvf-5084","addedAt":"2026-08-31T06:39:37.594Z","updatedAt":"2026-08-31T06:39:37.594Z"},{"id":"doi:10.2514/5.9781624107290.0771.0796","name":"Electric Aircraft","source":"crossref","abstract":"","url":"https://doi.org/10.2514/5.9781624107290.0771.0796","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-09-11T16:52:20Z","doi":"10.2514/5.9781624107290.0771.0796","addedAt":"2026-08-31T06:39:37.594Z","updatedAt":"2026-08-31T06:39:37.594Z"},{"id":"doi:10.2514/6.2024-3041","name":"Mid-Fidelity Simulation of a Tandem Propeller and Wing Configuration for EVTOL Vehicles","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2024-3041","authors":["Kieran Barry","Shaun Pullin","Beckett Y. Zhou","Luis Fernando Lopes de Moraes Filho"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-05-30T23:51:36Z","doi":"10.2514/6.2024-3041","addedAt":"2026-08-31T06:39:37.594Z","updatedAt":"2026-08-31T06:39:37.594Z"},{"id":"doi:10.2514/6.2024-4627","name":"Energy Demand Analysis for eVTOL Charging Stations in Urban Air Mobility","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2024-4627","authors":["Abenezer G. Taye","Priyank Pradeep","Peng Wei","James C. Jones","Timothy Bonin","Derek Eberle"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-09-20T08:30:37Z","doi":"10.2514/6.2024-4627","addedAt":"2026-08-31T06:39:37.594Z","updatedAt":"2026-08-31T06:39:48.855Z"},{"id":"doi:10.2514/6.2024-4448","name":"Ice Shape Analysis of an eVTOL Propeller in Forward Flight at the NASA Glenn Icing Research Tunnel","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2024-4448","authors":["Paul H. Von Hardenberg","Curtis A. Flack","David L. Rigby"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-09-20T08:30:37Z","doi":"10.2514/6.2024-4448","addedAt":"2026-08-31T06:39:37.594Z","updatedAt":"2026-08-31T06:39:37.594Z"},{"id":"doi:10.3390/aerospace11120979","name":"Full Envelope Control of Over-Actuated Fixed-Wing Vectored Thrust eVTOL","source":"crossref","abstract":"A novel full-envelope controller for an over-actuated fixed-wing vectored thrust eVTOL aircraft is presented. It proposes a generic control architecture, which is applicable to piloted, semi-automatic, and fully automated flight, consisting of an aircraft-level controller (high-level controller) and a control allocation scheme. The aircraft-level controller consists of a main inner loop classical nonlinear dynamic inversion controller and an outer loop proportional–integral linear controller. The inner loop nonlinear dynamic inversion controller is a velocity controller that cancels the nonlinear bare airframe dynamics, while the outer loop proportional–integral linear controller is an attitude and navigation position controller. Together, they are used for hover/low-speed control and forward flight. The control allocation scheme uses a novel architecture, which transfers the nonlinearity in the vectored thrust effector model formulation to the computation of the actuator limits by converting the effector model from polar to rectangular form, thus allowing the use of classical control allocation linear optimisation technique. The linear optimisation technique is an active set linear quadratic programming constrained optimisation algorithm with a weighted least squares formulation. The control allocation allocates the overall control demand (virtual controls) to individual redundant effectors while performing control error minimisation, control channel prioritisation and control effort minimisation. Simulation results show the transition from hover to cruise, climb and descent, and coordinated turn clearly demonstrate that the controller can handle actuator saturation (position or rate).","url":"https://doi.org/10.3390/aerospace11120979","authors":["Emmanuel Enenakpogbe","James F. Whidborne","Linghai Lu"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-11-27T11:26:08Z","doi":"10.3390/aerospace11120979","addedAt":"2026-08-31T06:39:37.594Z","updatedAt":"2026-08-31T06:39:37.594Z"},{"id":"doi:10.2514/6.2024-1624","name":"MODEL-SI: Modeling and Simulation - Multi-fidelity surrogate model of an eVTOL for certification","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2024-1624","authors":["Andrea Pedrioli","Pierluigi Capone","Marcello Righi","Elena Garcia-Sanchez","Laurent Pinsard","Joana Vieira Gomes"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-01-29T22:03:51Z","doi":"10.2514/6.2024-1624","addedAt":"2026-08-31T06:39:37.594Z","updatedAt":"2026-08-31T06:39:37.594Z"},{"id":"doi:10.4050/f-0080-2024-1083","name":"Extension of the Analytic Vortex Ring State Model for eVTOL Application","source":"crossref","abstract":"The engineering model determining the onset of Vortex Ring State (VRS) was applied to eVTOL aircraft, and the effect of different landing trajectories and aircraft drag was investigated. Next, the new model to compare the VRS susceptibility according to the different blade geometries and trajectories is proposed by extending Ahlin &amp; Brown's model to incorporate the two-dimensional thrust and inflow distribution on the rotor disc. For validation, two different trajectories crossing the boundary of the onset of the VRS were simulated, and the results were compared with the Vorticity Transport Method (VTM). Furthermore, the disturbance distribution of moderately and highly twisted blades are compared. The extended model can capture the physical phenomena by the distribution of the disturbances and reflect the effect of blade geometries and trajectories. It is essential to investigate the model further through a correlation analysis using experiments or numerical analysis.","url":"https://doi.org/10.4050/f-0080-2024-1083","authors":["Taemin Jeong","Kwanjung Yee","Yoonpyo Hong"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-09-20T14:39:28Z","doi":"10.4050/f-0080-2024-1083","addedAt":"2026-08-31T06:39:37.594Z","updatedAt":"2026-08-31T06:39:37.594Z"},{"id":"doi:10.4050/f-0080-2024-1170","name":"Coarse Parallelization of RCAS Supporting Multi-Rotor and eVTOL Configurations","source":"crossref","abstract":"Effective development of emerging vertical lift solutions, including eVTOL and hybrid-propulsion configurations, demands efficient and accurate analysis tools. Due to similarities between conventional rotorcraft and eVTOL configurations, many of the critical technologies needed for analysis of eVTOL are available in existing rotorcraft comprehensive analysis tools. However, unique features of eVTOL configurations pose challenges that limit the accuracy and efficiency of existing analysis codes. In this paper we present a coarse parallelization strategy applied to RCAS that significantly reduces the computation time of multi-rotor and eVTOL configurations. Verification has been performed for trim and maneuver analysis for various aerodynamic inflow models, including Viscous Vortex Particle Method (VVPM) and CFD coupling. Linearization, eigenanalysis and modal reduction were part of the stability analysis verification. A feature to automatically generate parallel RCAS setup files from a standard RCAS script was developed in GRCAS (GUI version of RCAS) for ease of use. Additionally, a new parallel processing window was added to GRCAS to facilitate executing and monitoring paralellized models.","url":"https://doi.org/10.4050/f-0080-2024-1170","authors":["Hossein Saberi","Hyeonsoo Yeo","Mina Taheri","Pepijn Kessels"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-09-20T14:39:28Z","doi":"10.4050/f-0080-2024-1170","addedAt":"2026-08-31T06:39:37.594Z","updatedAt":"2026-08-31T06:39:37.594Z"},{"id":"doi:10.1115/imece2024-145240","name":"Power System Analysis of Solar and Hydrogen Fuel Cell Powered EVTOL UAV","source":"crossref","abstract":"Abstract The interest in electric Vertical Take-off and Landing (eVTOL) Unmanned Aerial Vehicles (UAVs) has increased with the introduction of Advanced Air Mobility (UAM) vehicles. This configuration, reliant on multiple lifting motors for vertical flight and a forward flight motor for horizontal flight, necessitates a well-designed power and propulsion system. This study explores a propulsion system combining photovoltaic (PV) panels with a hydrogen fuel cell for eVTOL UAVs. Fuel cell integration is studied to enhance the vertical flight time in which fuel cell is used to power the vertical flight motors. The PV panels are studied to be integrated with forward flight motor to analyze the improvement in forward flight time. This hybrid system aims to extend flight endurance and operational capabilities by harnessing solar and hydrogen energy. The study looks at the integration of these technologies, aiming to address typical energy limitations of batteries and enhance UAV performance regarding endurance, payload capacity, and hover time. These enhancements added to the system achieved an extended hover time of 35 minutes and 55 minutes for 3.5L and 5L hydrogen cylinders, respectively. It also allowed the eVTOL UAV to conduct 4 to 6 take-off/landing cycles, improving the UAV’s operational capability.","url":"https://doi.org/10.1115/imece2024-145240","authors":["Nouf Almesafri","Majed Alhammadi","Sayem Zafar","Gustavo Santos"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-01-23T12:50:35Z","doi":"10.1115/imece2024-145240","addedAt":"2026-08-31T06:39:37.594Z","updatedAt":"2026-08-31T06:39:37.594Z"},{"id":"doi:10.1016/j.ast.2024.109348","name":"Experimental investigation of wing-propeller aerodynamic interaction in eVTOL configurations","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.ast.2024.109348","authors":["Alex Zanotti","Luca Menini","Alberto Savino","Donato Grassi","Luca Riccobene"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-06-27T14:45:45Z","doi":"10.1016/j.ast.2024.109348","addedAt":"2026-08-31T06:39:37.594Z","updatedAt":"2026-08-31T06:39:37.594Z"},{"id":"doi:10.2514/6.2024-1624.c1","name":"Correction: MODEL-SI: Modeling and Simulation - Multi-fidelity surrogate model of an eVTOL for certification","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2024-1624.c1","authors":["Andrea Pedrioli","Pierluigi Capone","Marcello Righi","Elena Garcia-Sanchez","Laurent Pinsard","Joana Vieira Gomes"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-02-18T09:58:02Z","doi":"10.2514/6.2024-1624.c1","addedAt":"2026-08-31T06:39:37.594Z","updatedAt":"2026-08-31T06:39:37.594Z"},{"id":"doi:10.1115/gt2024-127694","name":"Surrey Hydrogen Aircraft Performance Evaluator (SHAPE): Viability of Liquid Hydrogen-Fueled Wing/Fuselage/Gas-Turbine Aircraft","source":"crossref","abstract":"Abstract Liquid hydrogen has become a key focus in aviation as a potential energy vector for advancing towards 2050 Net Zero targets. This paper presents a new tool SHAPE (Surrey Hydrogen Aircraft Performance Evaluator) for system-level assessment of an adapted wing and tube aircraft configuration for liquid hydrogen fuel and the associated enabling technologies. SHAPE, a 0D steady-state solver, uses adapted empirical correlations with hydrogen-related technological assumptions and future projections for system sizing, mass, and performance predictions. The SHAPE predictions of conventional aircraft performance were validated against open-source information of A320neo and B737-800 aircraft along with results of widely used aircraft design tools SUAVE and TASOPT over a short haul mission. SHAPE’s results suggest that a liquid hydrogen-fueled aircraft with a gas turbine propulsion system could be demonstrated for an A320neo equivalent mission with competitive overall mass (+1%) and performance attributes (+2% energy consumption) compared to a kerosene aircraft. Certification for 2035 timescales would be challenging and requires considerable industry effort, collaboration, and early regulatory body engagement. Considering on-board technology uncertainties associated with hydrogen, a sensitivity analysis shows that the energy consumption prediction of the hydrogen aircraft could vary between +7.1% to −2.2% relative to equivalent kerosene aircraft, and overall aircraft mass could vary between +5.5% to −2.1% (with a 95% level of confidence). Fuel cell powered aircraft, even with optimistic assumptions, appear to be unfeasible for short/medium haul missions. The preliminary observations emphasize the opportunity for technology demonstration with tube-and-wing aircraft adapted for hydrogen combustion, given their higher weight and lower energy efficiency compared to kerosene aircraft. The findings of a large number of previous studies are benchmarked against the outputs of this work to provide further context and insight.","url":"https://doi.org/10.1115/gt2024-127694","authors":["Saurav Tiwari","Michael J. Pekris","John Doherty"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-08-28T19:31:37Z","doi":"10.1115/gt2024-127694","addedAt":"2026-08-31T06:39:37.594Z","updatedAt":"2026-08-31T06:39:37.594Z"},{"id":"doi:10.4050/sm-2024-tvf-5060","name":"A Compact and Efficient eVTOL Design Utilizing Multirotor Lift-Offset During Cruising Flight","source":"crossref","abstract":"A conceptual design of a compact and efficient lift + cruise type eVTOL aircraft of 4 seats utilizing the multirotor liftoffset (MRLO) during cruising flight is carried out. The interference between the front and rear rotors can be avoided when the rotors are operating at high advance ratios (above 0.5) without cyclic pitch controls, which lead to rotors working in lift-offset states naturally. For three rotors on one side, a shift layout is very effective to avoid performance degradation caused by foregoing rotors during forward flight. It is demonstrated that by setting the rotating speed of the rotors to match the target advance ratio and adjusting the rotor thrust through collective pitch controls, a compact and efficient lift + cruise eVTOL aircraft can be realized.","url":"https://doi.org/10.4050/sm-2024-tvf-5060","authors":["Yastuda Tanabe","Hideaki Sugawara","Kanako Yasue","Takumi Yumino","Masaharu Kameda"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-06-08T22:48:19Z","doi":"10.4050/sm-2024-tvf-5060","addedAt":"2026-08-31T06:39:37.594Z","updatedAt":"2026-08-31T06:39:37.594Z"},{"id":"doi:10.1109/iceet65156.2024.10913869","name":"Powering the Future of Urban Air Mobility: Electrical Design and Systems in eVTOL Vehicles","source":"crossref","abstract":"","url":"https://doi.org/10.1109/iceet65156.2024.10913869","authors":["Hamad Al Marzooqi","Mohammad Abdulrahman","Hamad Alramsi","Abdulla Hassan","Muhammad Fahad Zia"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-03-12T17:38:55Z","doi":"10.1109/iceet65156.2024.10913869","addedAt":"2026-08-31T06:39:37.594Z","updatedAt":"2026-08-31T06:39:49.544Z"},{"id":"doi:10.3390/engproc2024080041","name":"Aerodynamic Research on the Wing Design of a 3000 kg Hexa Tiltrotor eVTOL","source":"crossref","abstract":"","url":"https://doi.org/10.3390/engproc2024080041","authors":["Yafei Zheng","Wei Qiao","Xinlei Wang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-03-18T06:00:25Z","doi":"10.3390/engproc2024080041","addedAt":"2026-08-31T06:39:37.594Z","updatedAt":"2026-08-31T14:45:35.251Z"},{"id":"doi:10.1007/s42401-026-00492-z","name":"Rotor configuration optimization for enhanced control authority in eVTOL aircraft","source":"openalex","abstract":"","url":"https://doi.org/10.1007/s42401-026-00492-z","authors":["Tingyu Huang","Zhidong Lu","Jiannan Zhang","Shiqi Gao","Florian Holzapfel","Sutthiphong Srigrarom","Shiqiang Hu","Haichao Hong","J M. Zhang"],"tags":["Control theory (sociology)","Computer science","Control (management)","Rotor (electric)","Engineering"],"confidence":0.72,"sites":["low-altitude"],"publishedDate":"2026-06-25","doi":"10.1007/s42401-026-00492-z","addedAt":"2026-08-31T06:39:37.594Z","updatedAt":"2026-08-31T14:45:35.251Z"},{"id":"doi:10.29327/xxi-sitraer-2024.913573","name":"ASSESSING EVTOL INFRASTRUCTURE NEEDS: AN INVENTORY AND REGULATORY REVIEW","source":"crossref","abstract":"","url":"https://doi.org/10.29327/xxi-sitraer-2024.913573","authors":["Michelle Carvalho Galvão da Silva Pinto Bandeira","German Urrea Quiroga","German Alberto Barragan De Los Rios"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-12-20T13:28:21Z","doi":"10.29327/xxi-sitraer-2024.913573","addedAt":"2026-08-31T06:39:37.594Z","updatedAt":"2026-08-31T06:39:38.731Z"},{"id":"doi:10.1149/ma2024-026687mtgabs","name":"DRT Characterization of Lithium-Ion Batteries for eVTOL Applications","source":"crossref","abstract":"The demand for electric vehicles (EV) and electric vertical take-off and landing (eVTOL) aircraft is growing exponentially. The lithium-ion battery (LIB) is commonly selected for such applications due to its promising relatively high energy and power density. However, range limitations, capacity fade, and durability of Li-ion systems limit EVs. These questions become even more vital when discussing aerospace applications of eVTOL, which have more stringent requirements for safety, power, and durability. Additionally, cell-to-cell-variations (CtCv) play a major role in pack performance. To address the current needs, this work employs a characterization method combining the techniques of electrochemical impedance spectroscopy (EIS) and distribution of relaxation times (DRT), allowing for better characterization of cell performance and degradation at relevant high C-rates. In this work, cells are cycled at high-rate discharge (10C and 25C) at various temperatures to mimic eVTOL applications, with characterization tests being performed at beginning of life and every 50 cycles for a total of 500 cycles. By applying DRT to the EIS data, the electrochemical processes inside the cell can be deconvoluted and examined [1-3]. Gaussian peaks are fit to the DRT distribution function, and the resistance of each process can be predicted, thereby monitoring changes in HFR, interfacial particle-particle interactions, SEI/CEI interphase layers, and charge transfer/intercalation kinetics at various states of charge (SOC) and cycle number. Furthermore, diffusion related processes can also be identified and estimated from DC current-interrupt/application methods. Degradation tests were performed to simulate various thermal boundary conditions faced by eVTOLs ranging from 20°C to -20°C. The results reveal that, at high discharge rates operating at room temperature, cells reached up to 90°C and signatures of degradation in the SEI layer are seen in the DRT data. Other cells cycled at 0°C show evidence of lithium plating due to the cold environment. Active cooling at 20°C showed the least degradation as identified from the various internal processes. This method of testing provides an approach to comprehensively analyze individual internal degradation modes of a Li-ion battery. References: [1] Wan, Ting Hei et al. “Influence of the Discretization Methods on the Distribution of Relaxation Times Deconvolution: Implementing Radial Basis Functions with DRTtools” Electrochimica Acta, Vol. 1842015, http://dx.doi.org/10.1016/j.electacta.2015.09.097 [2] Iurilli, Pietro et al. “Detection of Lithium-Ion Cells’ Degradation through Deconvolution of Electrochemical Impedance Spectroscopy with Distribution of Relaxation Time” Energy Technology, Vol. 10, 2022, https://doi.org/10.1002/ente.202200547 [3] Chen, Xiang et al. “Detection of lithium plating in lithium-ion batteries by distribution of relaxation times” Journal of Power Sources, Vol. 496. 2021. https://doi.org/10.1016/j.jpowsour.2021.229867 Figure 1","url":"https://doi.org/10.1149/ma2024-026687mtgabs","authors":["Preston Young","Anirban Roy","Bapi Bera","Douglas S Aaron","Matthew M Mench"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-12-19T21:34:11Z","doi":"10.1149/ma2024-026687mtgabs","addedAt":"2026-08-31T06:39:37.594Z","updatedAt":"2026-08-31T06:39:37.594Z"},{"id":"doi:10.1109/td47997.2024.10555999","name":"Study of eVTOL Charging Impact on Airport Electrical Grids","source":"openalex","abstract":"Growth in commercial air traffic has increased the aviation industry’s contribution to global emissions. Aircraft electrification can reduce greenhouse gas emissions along with being efficient and reliable. Advanced air mobility introduces the idea of an advanced and more efficient air transportation system. Electric and hybrid aircraft designs, such as electric vertical takeoff and landing (eVTOL), are being considered for a number of applications, such as urban air mobility, cargo delivery, and medical emergencies. Although the electrification of aircraft provides environmental benefits, their charging needs will place significant demand on the electrical grid. This work presents a grid impact study and infrastructure upgrade requirements analysis of eVTOL charging on a realistic distribution grid through power flow simulation analysis. The case study results show that the eVTOL charging can lead to power quality issues, such as undervoltage and equipment capacity overloading. Grid infrastructure, such as lines and transformers, would need to be upgraded, and voltage management strategies would need to be deployed to accommodate eVTOL charging at an existing airport.","url":"https://doi.org/10.1109/td47997.2024.10555999","authors":["Priti Paudyal","Sherin Ann Abraham","Jiyu Wang","Harsha Padullaparti","Bharatkumar Solanki","Bharatkumar V. Solanki"],"tags":["Computer science","Electrical engineering","Aerospace engineering","Automotive engineering","Environmental science"],"confidence":0.72,"sites":["low-altitude"],"publishedDate":"2024-05-06","doi":"10.1109/td47997.2024.10555999","addedAt":"2026-08-31T06:39:37.594Z","updatedAt":"2026-08-31T14:45:35.251Z"},{"id":"doi:10.1016/c2022-0-01138-7","name":"Aircraft Leasing and Financing","source":"crossref","abstract":"","url":"https://doi.org/10.1016/c2022-0-01138-7","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-07-19T10:26:03Z","doi":"10.1016/c2022-0-01138-7","addedAt":"2026-08-31T06:39:37.594Z","updatedAt":"2026-08-31T06:39:37.594Z"},{"id":"doi:10.4050/f-0080-2024-1059","name":"Component Characterization of an eVTOL Reference Model for Crashworthiness Studies","source":"crossref","abstract":"Researchers at the National Aeronautics and Space Administration (NASA) Langley Research Center (LaRC) have conducted a series of structural component and seat level tests to improve finite element model (FEM) characterization of a representative vertical take-off and landing (eVTOL) test article developed by NASA. A full-scale dynamic test was conducted on the representative eVTOL test article in November of 2022. The test article represented a high wing, six passenger eVTOL design concept and is referred to as the lift plus cruise (LPC) test article. The full-scale test identified limitations in the analytical models used to predict aircraft structural response, in particular the composite material models did not effectively capture brittle failure of the structure which were measured during dynamic loading. To better understand the mechanism behind the composite material failure mechanisms observed and to improve the FEM, intact sample specimens of the composite airframe structure were recovered from the test article post-test and used in material characterization testing. In addition, the seat configurations used in the LPC test article were further studied using isolated seat and anthropomorphic test device (ATD) drop tower testing. Dynamic compression tests and three-point bend tests, conducted at varied impact speeds, were performed on the recovered frame section specimens. Additional testing was conducted to characterize the material properties of the forming foam, which remained in the frames after fabrication. These tests were used to improve characterization of the damage and failure parameters of the composite material model used in the FE model of the LPC test article. Seat level tests were conducted on the seats used in the LPC test article using acceleration pulses inclusive of current general aviation and rotorcraft certification load levels as well as conditions representative of those measured at the seat base during the LPC test. The structural material models and seat environment models of the LPC test article FEM were calibrated using the generated component test data. The updates made to these models were then integrated into the LPC FEM and simulated in the full-scale test condition. Results demonstrated the effectiveness of component testing to improve predictive capability of composite aerospace structural models within the crash and dynamic loading environments. Demonstration of the LPC FEM response across an accumulation of coupon, component, seat environment, and full-scale test levels provides confidence in the predictive capability of this model for future use in the study of occupant safety within eVTOL relevant crash environments.","url":"https://doi.org/10.4050/f-0080-2024-1059","authors":["Jacob Putnam","Matlock Mennu","Nathaniel Gardner","Justin Littell"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-08-23T14:50:47Z","doi":"10.4050/f-0080-2024-1059","addedAt":"2026-08-31T06:39:37.594Z","updatedAt":"2026-08-31T06:39:37.594Z"},{"id":"doi:10.2514/6.2024-0664","name":"Clean-Sky 2 Large Passenger Aircraft Platform 1 Advanced Engine and Aircraft Configurations","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2024-0664","authors":["Daniel Kierbel"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-01-29T21:41:50Z","doi":"10.2514/6.2024-0664","addedAt":"2026-08-31T06:39:37.594Z","updatedAt":"2026-08-31T06:39:37.594Z"},{"id":"doi:10.2514/5.9781624107290.0000.0000","name":"Aircraft Design: A Conceptual Approach","source":"crossref","abstract":"","url":"https://doi.org/10.2514/5.9781624107290.0000.0000","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-09-11T16:52:20Z","doi":"10.2514/5.9781624107290.0000.0000","addedAt":"2026-08-31T06:39:37.594Z","updatedAt":"2026-08-31T06:39:37.594Z"},{"id":"doi:10.1109/csdgais64098.2024.11063662","name":"Analysis and Classification of eVTOL and Vertiport Literature: Gaps and Future Research Directions","source":"crossref","abstract":"","url":"https://doi.org/10.1109/csdgais64098.2024.11063662","authors":["Fatima Laghrib","Yasmina Maïzi","Jean-Marc Frayret"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-07-09T23:04:30Z","doi":"10.1109/csdgais64098.2024.11063662","addedAt":"2026-08-31T06:39:37.594Z","updatedAt":"2026-08-31T06:39:37.594Z"},{"id":"doi:10.2514/5.9781624107290.0875.0910","name":"Design of Unique Aircraft Concepts","source":"crossref","abstract":"","url":"https://doi.org/10.2514/5.9781624107290.0875.0910","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-09-11T16:52:20Z","doi":"10.2514/5.9781624107290.0875.0910","addedAt":"2026-08-31T06:39:37.594Z","updatedAt":"2026-08-31T06:39:37.594Z"},{"id":"doi:10.4050/sm-2024-tvf-1106","name":"SaaS-Based Digital Thread Enables eVTOL Developers and Manufacturers to Succeed in a Continuously Evolving Environment","source":"crossref","abstract":"Electric Vertical Takeoff and Landing (eVTOL) designers and manufacturers operate in a dynamic and rapidly developing industry where innovation and regulatory compliance are continuously evolving. For most manufacturers, a \"Digital Thread\" of software solutions can not only help them build better products and increase operational efficiency, but also be one of the most crucial aspects towards their success.","url":"https://doi.org/10.4050/sm-2024-tvf-1106","authors":["Dalton Livingston","Declan Byrne"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-06-08T22:48:19Z","doi":"10.4050/sm-2024-tvf-1106","addedAt":"2026-08-31T06:39:37.594Z","updatedAt":"2026-08-31T06:39:37.594Z"},{"id":"doi:10.31224/2519","name":"A flight performance based optimization model for eVTOL vehicles","source":"crossref","abstract":"","url":"https://doi.org/10.31224/2519","authors":["Nikhilesh Tumuluru Ramesh","Pradeep V. Pandurangi"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2022-08-25T07:41:11Z","doi":"10.31224/2519","addedAt":"2026-08-31T06:39:37.594Z","updatedAt":"2026-08-31T06:39:39.468Z"},{"id":"doi:10.1016/j.ast.2021.106571","name":"A computational fluid dynamic acoustic investigation of a tiltwing eVTOL concept aircraft","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.ast.2021.106571","authors":["Ross J. Higgins","George N. Barakos","Shahrokh Shahpar","Indi Tristanto"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2021-02-18T00:10:18Z","doi":"10.1016/j.ast.2021.106571","addedAt":"2026-08-31T06:39:37.594Z","updatedAt":"2026-08-31T06:39:39.468Z"},{"id":"doi:10.3390/aerospace11120990","name":"Four-Dimensional Generalized AMS Optimization Considering Critical Engine Inoperative for an eVTOL","source":"crossref","abstract":"In this paper, we present a method to optimize the attainable moment set (AMS) to increase the control authority for electrical vertical take-off and landing vehicles (eVTOLs). As opposed to 3D AMSs for conventional airplanes, the hover control of eVTOLs requires vertical thrust produced by the powered lift system in addition to three moments. The limits of the moments and vertical thrust are coupled due to input saturation, and, as a result, the concept of the traditional AMS is extended to the 4D generalized moment set to account for this coupling effect. Given a required moment set (RMS) derived from system requirements, the optimization is formulated as a 4D convex polytope coverage problem, i.e., the AMS coverage over the RMS, such that the system’s available control authority is maximized to fulfill the prescribed requirements. The optimization accounts for not only nominal flight, but also for one critical engine inoperative situation. To test the method, it is applied to an eVTOL with eight rotors to optimize for the rotors’ orientation with respect to the body axis. The results indicate highly improved coverage of the RMS for both failure-free and one-engine-inoperative situations. Closed-loop simulation tests are performed for both optimal and non-optimal configurations to further validate the results.","url":"https://doi.org/10.3390/aerospace11120990","authors":["Jiannan Zhang","Max Söpper","Florian Holzapfel","Shuguang Zhang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-12-04T11:03:08Z","doi":"10.3390/aerospace11120990","addedAt":"2026-08-31T06:39:37.594Z","updatedAt":"2026-08-31T14:45:35.252Z"},{"id":"doi:10.3390/engproc2024080021","name":"Technology for eVTOL Cementing and Co-Curing Composite Wing Box Segment","source":"crossref","abstract":"","url":"https://doi.org/10.3390/engproc2024080021","authors":["Shutao Qi","Jiannan Cheng","Jichuan Ma","Jun Wang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-01-13T05:39:57Z","doi":"10.3390/engproc2024080021","addedAt":"2026-08-31T06:39:37.594Z","updatedAt":"2026-08-31T14:45:35.252Z"},{"id":"doi:10.58445/rars.660","name":"eVTOL and Flying Car Technology Simplified with a Tire-Propeller Hybrid","source":"crossref","abstract":"","url":"https://doi.org/10.58445/rars.660","authors":["Justin Doan"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-11-24T18:49:42Z","doi":"10.58445/rars.660","addedAt":"2026-08-31T06:39:37.594Z","updatedAt":"2026-08-31T06:39:39.468Z"},{"id":"doi:10.4050/f-0080-2024-1055","name":"Complementary PNT with Fusion Artificial Intelligence Link Synchronization Array for eVTOL Systems (FAILSAFES&amp;trade;)","source":"crossref","abstract":"Fusion Artificial Intelligence Link Synchronization Array for eVTOL Systems (FAILSAFES™) is a resilient and redundant timing and positioning architecture based on low Size, Weight, Power, and Cost (SWaP-C) RF Ranging links for eVTOL systems navigating with Global Navigation Satellite System (GNSS) in degraded or denied environments. This paper describes the overall FAILSAFES™ concept and discusses the underlying Complementary Positioning, Navigation, and Timing (CPNT) capabilities based on ENSCO's PicoRangerTM Array technology (PRAT). PRAT provides an array of low-cost RF ranging links between FAILSAFES™ ground stations and aircrafts to support navigation and timing distribution in GNSS degraded or denied environments. This paper will explore components of FAILSAFES™ and discuss initial PRAT based fusion results with respect to frequency and time stability.","url":"https://doi.org/10.4050/f-0080-2024-1055","authors":["Wil Myrick","Tom Matarese","Mike Tolfree"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-08-21T18:55:20Z","doi":"10.4050/f-0080-2024-1055","addedAt":"2026-08-31T06:39:37.594Z","updatedAt":"2026-08-31T06:39:37.594Z"},{"id":"doi:10.2514/6.2024-4425","name":"INDI Control Law Structure for a MEDEVAC eVTOL and Its Reference Models: Feedforward, Physical Limitations, and Innerloop Dynamics for Optimal Tracking","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2024-4425","authors":["Tim A. Rupprecht","Agnes Steinert","Cedric Kotitschke","Florian Holzapfel"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-09-20T08:30:37Z","doi":"10.2514/6.2024-4425","addedAt":"2026-08-31T06:39:37.594Z","updatedAt":"2026-08-31T06:39:37.594Z"},{"id":"doi:10.1109/icns60906.2024.10550662","name":"Aircraft to Aircraft Collision Risk Modeling","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icns60906.2024.10550662","authors":["Laura Bickmeier","Ronald Ankner"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-06-11T17:54:38Z","doi":"10.1109/icns60906.2024.10550662","addedAt":"2026-08-31T06:39:37.594Z","updatedAt":"2026-08-31T06:39:37.594Z"},{"id":"doi:10.2514/1.c037284","name":"Benefits and Challenges of Electric Propulsion for Commuter Aircraft","source":"crossref","abstract":"This paper presents the Library for Unified Conceptual Aircraft Synthesis (LUCAS) sizing and optimization framework, which is largely based on Stanford’s Stanford University Aerospace Vehicle Environment (SUAVE). LUCAS is applied to a commuter mission carrying 19 passengers. Results show that energy usage benefits depend on mission range and electrical component technology and that reserve requirements play a significant role in the feasibility of electrified aircraft. It is found that storing more energy in batteries rather than fuel reduces the mission energy requirement at the expense of aircraft weight growth. All-electric aircraft could provide onboard energy savings of upward of 30% for a 180 km mission, but this would only become feasible if battery specific energy reached the high value of [Formula: see text]. Range could be increased to 550 km if part of the reserve mission requirements is relaxed. Under more realistic technology assumptions, a hybrid design storing energy in fuel and batteries could fly commuter missions with energy savings of 6%. A beneficial use case of hybrid configurations is a mode of operation where the aircraft uses only batteries during the main mission and fuel to store all the reserve energy. If reserves are not required for a particular flight, energy savings are still maximized, while the availability of fuel ensures certification requirements are met with fewer penalties.","url":"https://doi.org/10.2514/1.c037284","authors":["Michael Kruger","Alejandra Uranga"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-01-10T06:57:08Z","doi":"10.2514/1.c037284","addedAt":"2026-08-31T06:39:37.594Z","updatedAt":"2026-08-31T06:39:37.594Z"},{"id":"doi:10.1016/b978-0-443-15373-0.00002-0","name":"Aircraft valuation and appraisal","source":"crossref","abstract":"","url":"https://doi.org/10.1016/b978-0-443-15373-0.00002-0","authors":["Vitaly S. Guzhva","Sunder Raghavan","Damon J. D’Agostino"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-07-19T05:52:45Z","doi":"10.1016/b978-0-443-15373-0.00002-0","addedAt":"2026-08-31T06:39:37.594Z","updatedAt":"2026-08-31T06:39:37.594Z"},{"id":"doi:10.1016/b978-0-443-15373-0.00010-x","name":"Principles of aircraft selection","source":"crossref","abstract":"","url":"https://doi.org/10.1016/b978-0-443-15373-0.00010-x","authors":["Vitaly S. Guzhva","Sunder Raghavan","Damon J. D’Agostino"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-07-19T05:53:13Z","doi":"10.1016/b978-0-443-15373-0.00010-x","addedAt":"2026-08-31T06:39:37.594Z","updatedAt":"2026-08-31T06:39:37.594Z"},{"id":"doi:10.29327/xxi-sitraer-2024.895760","name":"PRELIMINARY ANALYSIS TO AID REGULATORY AGENCIES IN THE EVTOL CERTIFICATION PROCESS USING SYSTEMS-THEORETIC PROCESS ANALYSIS (STPA)","source":"crossref","abstract":"","url":"https://doi.org/10.29327/xxi-sitraer-2024.895760","authors":["Bemildo Alvaro Ferreira Filho","Moacyr Machado Cardoso Júnior"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-12-20T13:28:21Z","doi":"10.29327/xxi-sitraer-2024.895760","addedAt":"2026-08-31T06:39:37.594Z","updatedAt":"2026-08-31T06:39:37.594Z"},{"id":"doi:10.29327/xxi-sitraer-2024.883625","name":"FRAM APPLICATION FOR ANALYSIS OF THE CONCEPT OF EVTOL OPERATION IN URBAN CENTERS: CHALLENGES AND RISKS","source":"crossref","abstract":"","url":"https://doi.org/10.29327/xxi-sitraer-2024.883625","authors":["João Guilherme Fowler","Daniella Castro Fernandes","Moacyr Machado Cardoso Júnior"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-12-20T13:28:21Z","doi":"10.29327/xxi-sitraer-2024.883625","addedAt":"2026-08-31T06:39:37.594Z","updatedAt":"2026-08-31T06:39:37.594Z"},{"id":"doi:10.1109/tits.2026.3726469","name":"Deep Learning-Based Monitoring of Flight Path Deviations for eVTOL Aircraft: A Gated Recurrent Unit Model Perspective","source":"crossref","abstract":"","url":"https://doi.org/10.1109/tits.2026.3726469","authors":["Jeongmin Kim","Peng Wei","Kyowon Song"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-08-28T19:06:51Z","doi":"10.1109/tits.2026.3726469","addedAt":"2026-08-31T06:39:37.594Z","updatedAt":"2026-08-31T06:39:39.325Z"},{"id":"doi:10.25144/21506","name":"MILITARY AIRCRAFT NOISE PREDICTION AND MEASUREMENT","source":"crossref","abstract":"","url":"https://doi.org/10.25144/21506","authors":["BF BERRY","AL HARRIS"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-05-01T09:15:20Z","doi":"10.25144/21506","addedAt":"2026-08-31T06:39:37.594Z","updatedAt":"2026-08-31T06:39:37.594Z"},{"id":"doi:10.2514/1.c037397","name":"Numerical Modeling of Aircraft Fire: Postcrash Fire","source":"crossref","abstract":"The Fire Dynamics Simulator (FDS) model was utilized in this study to replicate a full-scale aircraft postcrash experiment conducted within the C-133 test facility by the Federal Aviation Administration. FDS is a computational fire field model that incorporates submodels for soot formation, pyrolysis, and thermal radiation transport. It solves three-dimensional time-dependent Navier–Stokes equations and is grounded in the large-eddy simulation approach and the eddy dissipation concept, serving as turbulence and combustion models. The obtained results, including the heat release rate and temperature, were validated against experimental data and compared with earlier prediction studies employing different turbulence and combustion models. The results from this simulation closely align with the experiment’s findings. The impact of fire-blocking layers and carry-on baggage on interior material was examined. Moreover, two boundary conditions were imposed on the fuselage structure: 1) the adiabatic wall, and 2) heat loss within the wall. Both the fire-blocking layers and the adiabatic boundary condition played a significant role in the flashover occurrence. The large-eddy simulation and eddy dissipation concept approaches have demonstrated a reliable ability to predict flashover and general fire properties to a considerable extent.","url":"https://doi.org/10.2514/1.c037397","authors":["Houssam Eddine Nadir Hiber","Hadj Miloua"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-10-06T10:18:49Z","doi":"10.2514/1.c037397","addedAt":"2026-08-31T06:39:37.594Z","updatedAt":"2026-08-31T06:39:37.594Z"},{"id":"doi:10.1201/9781003411932-8","name":"Aircraft navigation","source":"crossref","abstract":"","url":"https://doi.org/10.1201/9781003411932-8","authors":["Mike Tooley","David Wyatt"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-03-14T17:26:27Z","doi":"10.1201/9781003411932-8","addedAt":"2026-08-31T06:39:37.594Z","updatedAt":"2026-08-31T06:39:37.594Z"},{"id":"doi:10.1109/icuas60882.2024.10557026","name":"Digital Airworthiness Certification: Opportunities for Unmanned Aircraft Systems","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icuas60882.2024.10557026","authors":["Stephen P. Cook"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-06-19T17:22:59Z","doi":"10.1109/icuas60882.2024.10557026","addedAt":"2026-08-31T06:39:37.594Z","updatedAt":"2026-08-31T06:39:37.594Z"},{"id":"doi:10.1016/b978-0-323-95318-4.00004-5","name":"Rapid prototyping of core materials in aircraft sandwich structures","source":"crossref","abstract":"","url":"https://doi.org/10.1016/b978-0-323-95318-4.00004-5","authors":["Bisma Parveez"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-01-19T08:56:21Z","doi":"10.1016/b978-0-323-95318-4.00004-5","addedAt":"2026-08-31T06:39:37.594Z","updatedAt":"2026-08-31T06:39:37.594Z"},{"id":"doi:10.1016/j.ast.2024.109740","name":"Aerodynamic and aeroacoustics investigation of tandem propellers in hover for eVTOL configurations","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.ast.2024.109740","authors":["Daniele Granata","Alberto Savino","Donato Grassi","Luca Riccobene","Alex Zanotti"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-11-16T02:10:54Z","doi":"10.1016/j.ast.2024.109740","addedAt":"2026-08-31T06:39:37.594Z","updatedAt":"2026-08-31T06:39:37.594Z"},{"id":"doi:10.25144/21505","name":"Military Aircraft Noise 1990","source":"crossref","abstract":"","url":"https://doi.org/10.25144/21505","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-05-01T09:15:20Z","doi":"10.25144/21505","addedAt":"2026-08-31T06:39:37.594Z","updatedAt":"2026-08-31T06:39:37.594Z"},{"id":"doi:10.3390/app14104055","name":"A Novel Aerodynamic Modeling Method Based on Data for Tiltrotor evtol","source":"crossref","abstract":"A data-driven aerodynamic modeling method is proposed to address the problem that traditional modeling methods based on physical mechanisms cannot fully represent the special aerodynamic characteristics of tiltrotor evtol aircraft. By analyzing the uniquely complex aerodynamic characteristics of electric vertical take-off and landing (evtol) aircraft, an MLP neural network model has been constructed that reflects the coupling characteristics between influencing factors. Using the XV15 wind tunnel test data, a dataset was constructed, and the neural network model was trained and validated. Simulation results show that the selected data-driven method can accurately predict the aerodynamic characteristics of the longitudinal transition phase of the tiltrotor evtol.","url":"https://doi.org/10.3390/app14104055","authors":["Haiyang Wang","Peng Li","Dongsu Wu"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-05-14T03:20:29Z","doi":"10.3390/app14104055","addedAt":"2026-08-31T06:39:37.594Z","updatedAt":"2026-08-31T14:45:35.252Z"},{"id":"doi:10.4271/2024-01-7027","name":"Equalization System Engineering Design for reliable Battery\n                    Management on eVTOL","source":"crossref","abstract":"&lt;div class=\"section abstract\"&gt;&lt;div class=\"htmlview paragraph\"&gt;Electrical vertical take-off and landing vehicle (eVTOL) are more and more popular in future’s urban mobility. How to improve the reliability of the battery, is the key problem. Battery Management System (BMS) through the battery status monitoring, charging and discharging control, temperature management, fault diagnosis, battery equalisation and other core measures to improve the battery reliability and performance, of which battery equalisation technology plays a vital role. BMS manages batteries through battery status monitoring, charging and discharging control, temperature management, fault diagnosis, battery equalisation and other core measures to ensure the safety, reliability and performance of batteries. This paper analyses the inconsistency mechanism of batteries, introduces the classification of mainstream balancing circuits, describes the advantages and disadvantages of different types of balancing technologies, introduces the practical application scheme of passive balancing for eVTOL, which achieves a good balancing effect through the hardware and software as well as the heat dissipation design, and finally looks forward to the development of the balancing technology for battery management systems.&lt;/div&gt;&lt;/div&gt;","url":"https://doi.org/10.4271/2024-01-7027","authors":["Guo Feng","Xinfeng Zhang","Hong Dun Li","Han Yue"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-11-14T21:15:35Z","doi":"10.4271/2024-01-7027","addedAt":"2026-08-31T06:39:37.594Z","updatedAt":"2026-08-31T14:45:35.252Z"},{"id":"doi:10.4050/f-0079-2023-18079","name":"Handling Qualities of Multirotor RPM-Controlled Electric-Vertical Take-Off and Landing (eVTOL) Aircraft for Urban Air Mobility (UAM)","source":"crossref","abstract":"","url":"https://doi.org/10.4050/f-0079-2023-18079","authors":["Carlos Malpica","Peter Suh","Shannah Withrow-Maser","Jeremy Aires","Stefan Schuet","Allen Ruan","Kyle Barnes","Curt Hanson","NASA Armstrong","John Foster"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-06-27T11:09:13Z","doi":"10.4050/f-0079-2023-18079","addedAt":"2026-08-31T06:39:37.594Z","updatedAt":"2026-08-31T06:39:39.468Z"},{"id":"doi:10.1016/b978-0-443-15373-0.00001-9","name":"Principles of aircraft leasing versus ownership","source":"crossref","abstract":"","url":"https://doi.org/10.1016/b978-0-443-15373-0.00001-9","authors":["Vitaly S. Guzhva","Sunder Raghavan","Damon J. D’Agostino"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-07-19T05:52:41Z","doi":"10.1016/b978-0-443-15373-0.00001-9","addedAt":"2026-08-31T06:39:37.594Z","updatedAt":"2026-08-31T06:39:37.594Z"},{"id":"doi:10.1109/scems63294.2024.10756311","name":"Comparative Analysis of Electromagnetic and Thermal Performances Between Consequent-Pole PM and Conventional SPM Motors for eVTOL","source":"crossref","abstract":"","url":"https://doi.org/10.1109/scems63294.2024.10756311","authors":["Yuchen Xu","Wenlong Liu","Hao Zeng"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-11-25T13:41:51Z","doi":"10.1109/scems63294.2024.10756311","addedAt":"2026-08-31T06:39:37.594Z","updatedAt":"2026-08-31T06:39:37.594Z"},{"id":"doi:10.1007/978-3-031-67295-8_43","name":"The Influence of Vehicle Mass and Cell Type on eVTOL Battery Pack Designs","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-031-67295-8_43","authors":["Shuonan Xu","Madhu Raghavan"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-08-09T19:03:04Z","doi":"10.1007/978-3-031-67295-8_43","addedAt":"2026-08-31T06:39:37.594Z","updatedAt":"2026-08-31T06:39:37.594Z"},{"id":"doi:10.2139/ssrn.4848586","name":"Modeling Aircraft Launching from Aircraft Carrier Deck Using Matlab Simulink","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.4848586","authors":["Mirac Yilmaz","yaser alaiwi"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-05-30T11:37:58Z","doi":"10.2139/ssrn.4848586","addedAt":"2026-08-31T06:39:37.594Z","updatedAt":"2026-08-31T06:39:37.594Z"},{"id":"doi:10.1016/c2021-0-02596-7","name":"Modern Manufacturing Processes for Aircraft Materials","source":"crossref","abstract":"","url":"https://doi.org/10.1016/c2021-0-02596-7","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-01-21T13:59:24Z","doi":"10.1016/c2021-0-02596-7","addedAt":"2026-08-31T06:39:37.594Z","updatedAt":"2026-08-31T06:39:37.594Z"},{"id":"doi:10.1016/b978-0-443-15373-0.04001-4","name":"Acknowledgments","source":"crossref","abstract":"","url":"https://doi.org/10.1016/b978-0-443-15373-0.04001-4","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-07-19T05:56:11Z","doi":"10.1016/b978-0-443-15373-0.04001-4","addedAt":"2026-08-31T06:39:37.594Z","updatedAt":"2026-08-31T06:39:37.594Z"},{"id":"doi:10.5139/jksas.2026.54.1.105","name":"Study on the System Safety Assessment of eVTOL Technology Demonstrator","source":"crossref","abstract":"","url":"https://doi.org/10.5139/jksas.2026.54.1.105","authors":["Joo-Won Choi","Jinyoung Suk"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-01-15T07:16:54Z","doi":"10.5139/jksas.2026.54.1.105","addedAt":"2026-08-31T06:39:37.594Z","updatedAt":"2026-08-31T06:39:38.731Z"},{"id":"doi:10.3990/1.9789036562898","name":"Design for Maintenance in Sustainable Aviation : Role of maintenance in transition from a conventional aircraft to an electric aircraft","source":"crossref","abstract":"","url":"https://doi.org/10.3990/1.9789036562898","authors":["Ashrith Jain"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-09-11T09:26:58Z","doi":"10.3990/1.9789036562898","addedAt":"2026-08-31T06:39:37.594Z","updatedAt":"2026-08-31T06:39:37.594Z"},{"id":"doi:10.5139/jksas.2020.48.12.969","name":"A Study on the Certification Method for the Application of Composite Material of eVTOL Aircraft","source":"crossref","abstract":"","url":"https://doi.org/10.5139/jksas.2020.48.12.969","authors":["Sung-Hwan Bae","Sung-In Cho","Cheong-Ho Choi","Seungmok Jeon"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2021-01-10T19:36:56Z","doi":"10.5139/jksas.2020.48.12.969","addedAt":"2026-08-31T06:39:37.594Z","updatedAt":"2026-08-31T06:39:39.468Z"},{"id":"doi:10.4050/sm_evtol_2026-5233","name":"TVF 2026 - eVTOL Progress : Advancing HIL and SIL Validation for eVTOL from Tip to Battery to Tail by Bloomy Controls","source":"crossref","abstract":"Advancing HIL and SIL Validation for eVTOL from Tip to Battery to Tail by Bloomy Controls","url":"https://doi.org/10.4050/sm_evtol_2026-5233","authors":["Peter Blume"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-07-20T20:08:58Z","doi":"10.4050/sm_evtol_2026-5233","addedAt":"2026-08-31T06:39:37.594Z","updatedAt":"2026-08-31T06:39:38.731Z"},{"id":"doi:10.11606/003188133","name":"Organização industrial da indústria de veículos elétricos de decolagem e pouso verticais (eVTOL)","source":"crossref","abstract":"Este trabalho traz um levantamento de informações quanto à organização industrial da indústria de veículos eVTOL (electric vertical take-off and landing), com um foco nos tipos de fornecimento adotados pelas fabricantes. Considerou-se uma amostra de 12 empresas fabricantes de veículos eVTOL e a pesquisa foi feita, como regra geral, por meio de fontes primárias dos meios de comunicação das empresas. A busca foi feita com base em quatro dimensões de subsistema das aeronaves: bateria, motor, fuselagem e montagem. As informações quanto aos tipos de fornecimento destes subsistemas foram classificadas em: próprio, terceirizado, misto e sem informação. Obteve-se, ao final, um quadro de 12x4 com um percentual de informações encontradas de 67%, sendo que, em relação ao total, 40% é fornecimento terceirizado, 27% próprio, 0% misto e 33% não identificado. Com a análise dos resultados conclui-se que as empresas estão optando por adotar o fornecimento terceirizado para as baterias e motores, e o fornecimento próprio para a montagem. Além disso, a comparação da configuração obtida com os setores de aviões comerciais e de automóveis evidenciou uma semelhança entre os tipos de organização industrial, o que caracterizou as fabricantes de veículos eVTOL como montadoras.","url":"https://doi.org/10.11606/003188133","authors":["Wesley Luciano"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-11-05T18:47:17Z","doi":"10.11606/003188133","addedAt":"2026-08-31T06:39:37.594Z","updatedAt":"2026-08-31T06:39:39.468Z"},{"id":"doi:10.5762/kais.2023.24.2.286","name":"Fatigue Life Analysis of Electro-Mechanical Actuator for Blade Pitch Control in eVTOL","source":"crossref","abstract":"","url":"https://doi.org/10.5762/kais.2023.24.2.286","authors":["Hyun-gi Kim"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-03-07T00:42:45Z","doi":"10.5762/kais.2023.24.2.286","addedAt":"2026-08-31T06:39:37.594Z","updatedAt":"2026-08-31T06:39:39.468Z"},{"id":"doi:10.1115/gt2024-fm1","name":"GT2024 Front Matter","source":"crossref","abstract":"Abstract The front matter for this proceedings is available by clicking on the PDF icon.","url":"https://doi.org/10.1115/gt2024-fm1","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-08-28T19:29:15Z","doi":"10.1115/gt2024-fm1","addedAt":"2026-08-31T06:39:37.594Z","updatedAt":"2026-08-31T06:39:37.594Z"},{"id":"doi:10.1016/b978-0-443-15373-0.12001-3","name":"Copyright","source":"crossref","abstract":"","url":"https://doi.org/10.1016/b978-0-443-15373-0.12001-3","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-07-19T05:56:16Z","doi":"10.1016/b978-0-443-15373-0.12001-3","addedAt":"2026-08-31T06:39:37.594Z","updatedAt":"2026-08-31T06:39:37.594Z"},{"id":"doi:10.1115/gt2024-126483","name":"Advanced Power Management Strategies for Complex Hybrid-Electric Aircraft","source":"crossref","abstract":"Abstract Aircraft electrification for propulsion is a promising way to alleviate the negative environmental impact of conventional carbon-powered aviation. Inclusion of the electrical powertrain aims to enhance design freedom allowing for more efficient power systems and operational schemes. In this work a design space exploration is performed aiming to derive power management guidelines based on aircraft environmental performance. A 19-passenger commuter aircraft employing the series/parallel partial hybrid-electric architecture is examined. Two underwing-mounted turboprop engines are combined with a boundary layer ingestion fan mounted in the aircraft aft and powered by an electrical drive. The primary electrical energy source is a battery system. A multi-disciplinary framework is utilized, comprising modelling approaches for multi-point thermal engine design, physics-based electrical component sizing and performance, aircraft sizing, mission design, and environmental assessment. The investigation revealed that the reference designed hybrid-electric configuration with entry-into-service 2035-assumed technologies yields roughly 18% improvement in block consumption and emissions, but an 8% increase in maximum take-off weight, compared to its 2014 conventional counterpart. The design space exploration for an optimal power management scheme indicated a minimum ratio of 1:1.35 between cruise and design point hybridization power. However, even the optimally operated hybrid aircraft showcases worse environmental performance compared to the conventional design of same entry-into-service date. The investigation has revealed that the complex powertrain and hybrid architecture selected may be more suitable for larger class aircraft, with the accumulated performance benefits reaching the order of 5% for the hybrid designs explored under relaxed top-level constraints.","url":"https://doi.org/10.1115/gt2024-126483","authors":["Dimitrios Bermperis","Mavroudis D. Kavvalos","Stavros Vouros","Konstantinos Kyprianidis"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-08-28T19:30:30Z","doi":"10.1115/gt2024-126483","addedAt":"2026-08-31T06:39:37.594Z","updatedAt":"2026-08-31T06:39:37.594Z"},{"id":"doi:10.2514/1.c036981","name":"Economic Aspects of Aircraft Propulsion Electrification","source":"crossref","abstract":"Aircraft propulsion electrification is currently being considered by industry and academia as one of the most promising strategies to reduce air transport emissions and increase overall efficiency levels. In the past decade, several papers were published on this subject, with the majority indicating encouraging fuel burn benefits versus conventional, fossil-fuel-based propulsion systems when future technologies, novel aircraft configurations, and synergistic propulsive-airframe integration are employed. However, a much smaller effort has been applied to the economic aspects of hybrid and fully electric propulsion, which are crucial for a successful product introduction. The present paper describes the modeling of a baseline general-aviation-type aircraft and its propulsion system retrofit with electrified architectures, exploring different electrification strategies for a fixed airframe design. Analyses are performed at the aircraft level, comparing recurring and cash operating costs for several cost and durability scenarios. While considerable [Formula: see text] reductions may be achieved in some electrification strategies, aircraft performance is significantly penalized, and important improvements in economic figures of merit are needed in order to make electrified propulsion cost-competitive. Electrified architectures tend to increase costs: turboelectric increases recurring equipment costs, while hybrid-electric increases recurring and direct maintenance costs, especially at higher degrees of energy hybridization.","url":"https://doi.org/10.2514/1.c036981","authors":["Raphael Felipe Gama Ribeiro","Luis Gustavo Trapp","Pedro Teixeira Lacava"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-08-23T12:15:12Z","doi":"10.2514/1.c036981","addedAt":"2026-08-31T06:39:37.594Z","updatedAt":"2026-08-31T06:39:37.594Z"},{"id":"doi:10.2514/1.c037770","name":"Announcements and Acknowledgments","source":"crossref","abstract":"","url":"https://doi.org/10.2514/1.c037770","authors":["Mark Drela"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-02-09T03:32:18Z","doi":"10.2514/1.c037770","addedAt":"2026-08-31T06:39:37.594Z","updatedAt":"2026-08-31T06:39:37.594Z"},{"id":"doi:10.1109/icsrs63046.2024.10927427","name":"An Unknown Input Observer-Based Fault Diagnosis Method of eVTOL Under Closed-Loop Control","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icsrs63046.2024.10927427","authors":["Danyang Han","Binghua Li","Rui Kang","Haowei Wang","Zhirong Liang","Jinsong Yu"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-03-31T23:18:00Z","doi":"10.1109/icsrs63046.2024.10927427","addedAt":"2026-08-31T06:39:37.594Z","updatedAt":"2026-08-31T06:39:37.594Z"},{"id":"doi:10.1007/978-981-97-4010-9_62","name":"Virtual City Based eVTOL Vertiport Placement Planning","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-981-97-4010-9_62","authors":["Ning Sun","Yanhui Duan"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-07-04T11:02:23Z","doi":"10.1007/978-981-97-4010-9_62","addedAt":"2026-08-31T06:39:37.594Z","updatedAt":"2026-08-31T06:39:37.594Z"},{"id":"doi:10.1109/wowmom60985.2024.00021","name":"Minimizing Age of Information: Adaptive Spectrum Sharing in Ultra-Reliable and Low-Latency eVTOL Communications","source":"crossref","abstract":"","url":"https://doi.org/10.1109/wowmom60985.2024.00021","authors":["Ishan Aryendu","Sudhanshu Arya","Ying Wang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-07-08T13:24:25Z","doi":"10.1109/wowmom60985.2024.00021","addedAt":"2026-08-31T06:39:37.594Z","updatedAt":"2026-08-31T06:39:37.594Z"},{"id":"doi:10.32560/rk.2023.1.7","name":"eVTOL légi járművek biztonsága","source":"crossref","abstract":"Az eVTOL járművek fejlesztése és elterjedése az utóbbi években nagy figyelmet kapott a légi közlekedési iparban. Az eVTOL biztonsága nagy kihívást jelent az ipar számára, mivel az ilyen típusú járművek repülési rendszerei és az ehhez szükséges infrastruktúra még fejlesztésre szorulnak. Az eVTOL járműveknek több biztonsági szempontot kell figyelembe venniük, mint a hagyományos repülőgépeknek, mivel az alacsonyabb magasságban való repülés, a rövidebb fel-és leszállási úthossz, valamint a sokkal nagyobb forgalom potenciális veszélyeket jelentenek.","url":"https://doi.org/10.32560/rk.2023.1.7","authors":["Gábor Terpecz"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-11-29T08:55:25Z","doi":"10.32560/rk.2023.1.7","addedAt":"2026-08-31T06:39:37.594Z","updatedAt":"2026-08-31T06:39:39.468Z"},{"id":"doi:10.2514/1.c037707","name":"Minimum-Drag Fault-Tolerant Aircraft Control Allocation via Online Lifting Line Calculation","source":"crossref","abstract":"The minimization of drag at any given flight condition is necessary for the reduction of aircraft fuel consumption and is strongly linked to the way the different aerodynamic surfaces are deflected to control the flight trajectory. Current optimal control allocation methods calculate commands that minimize norm-based metrics that are only loosely related to aircraft drag. In this paper, using a novel real-time application of the lifting line concept, a new control allocation method for overactuated “biomorphic” fixed-wing aircraft is introduced, aiming at addressing the above limitation. The proposed technique outputs optimal, fault-tolerant minimum-drag control allocation solutions for vehicles with large numbers of aerodynamic surfaces, combined with angle-of-attack and angle-of-sideslip estimator functions that allow for direct, localized control of the lift force vectors. Owing to its close link to lifting line theory, which constitutes an integral part of the proposed allocation calculation, the method represents a low-computational-cost solution to the control allocation problem, easily adaptable to different aircraft configurations. Alongside its theoretical development and stability analysis, a series of simulated experiments are presented that demonstrate the proposed method’s characteristics and potential applications.","url":"https://doi.org/10.2514/1.c037707","authors":["Aristeidis Antonakis","Jean-Marc Biannic"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-04-22T09:24:36Z","doi":"10.2514/1.c037707","addedAt":"2026-08-31T06:39:37.594Z","updatedAt":"2026-08-31T06:39:37.594Z"},{"id":"doi:10.55277/researchhub.qom7abvt","name":"Development of a High Efficiency eVTOL UAV for Urban and Remote Delivery","source":"crossref","abstract":"","url":"https://doi.org/10.55277/researchhub.qom7abvt","authors":["Ekene Darlington Okpara"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-05-02T06:00:09Z","doi":"10.55277/researchhub.qom7abvt","addedAt":"2026-08-31T06:39:37.594Z","updatedAt":"2026-08-31T06:39:39.046Z"},{"id":"doi:10.2139/ssrn.4074694","name":"Introducing an Efficiency Index to Evaluate Evtol Designs","source":"crossref","abstract":"The evolution of electric vertical takeoff and landing (eVTOL) aircraft as part of the Advanced Air Mobility initiative will affect our society and the environment in fundamental ways. Technological forecasting suggests that commercial services are fast emerging to transform urban and regional air mobility for people and cargo. However, the complexities of diverse design choices pose a challenge for potential adopters or service providers because there are no objective and simple means to compare designs based on the available set of performance specifications. This analysis defines an aeronautically informed propulsion efficiency index (PEX) to compare the performance of eVTOL designs. Range, payload ratio, and aspect ratio are the minimum set of independent parameters needed to compute a PEX that can distinguish among eVTOL designs. The distribution of the PEX and the range are lognormal in the design space. There is no association between PEX values and the mainstream eVTOL architecture types or the aircraft weight class. A multilinear regression showed that the three independent parameters explained more than 90% of the PEX distribution in the present design space.","url":"https://doi.org/10.2139/ssrn.4074694","authors":["Raj Bridgelall","Taraneh Askarzadeh","Denver Tolliver"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2022-04-04T23:22:44Z","doi":"10.2139/ssrn.4074694","addedAt":"2026-08-31T06:39:37.594Z","updatedAt":"2026-08-31T06:39:39.468Z"},{"id":"doi:10.36227/techrxiv.21778991.v1","name":"eVTOL mass variation with powertrain configurations and energy mix: to gear or not to gear","source":"crossref","abstract":"This article provides key insights in motorization design choice for electric vehicles. As an emerging technology, EVs come with direct drive or geared configurations. As an even younger technology in the aerospace field, propulsive electric motorization is a key enabler to a closer to zero carbon economy. This technical article provides break-even points and knowledge on why and when using a high speed strategy and compares 2 very different energy mixes: Hybrid-electric and All-electric. The presented technique allows to save powertrain mass, and help proliferation of these technologies.","url":"https://doi.org/10.36227/techrxiv.21778991.v1","authors":["Jerome GREGOIRE"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-04-12T13:25:30Z","doi":"10.36227/techrxiv.21778991.v1","addedAt":"2026-08-31T06:39:37.594Z","updatedAt":"2026-08-31T06:39:39.468Z"},{"id":"doi:10.1109/icuas60882.2024","name":"2024 International Conference on Unmanned Aircraft Systems (ICUAS)","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icuas60882.2024","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-06-19T17:22:30Z","doi":"10.1109/icuas60882.2024","addedAt":"2026-08-31T06:39:37.594Z","updatedAt":"2026-08-31T06:39:37.594Z"},{"id":"doi:10.1016/b978-0-443-15373-0.20001-2","name":"Index","source":"crossref","abstract":"","url":"https://doi.org/10.1016/b978-0-443-15373-0.20001-2","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-07-19T05:56:19Z","doi":"10.1016/b978-0-443-15373-0.20001-2","addedAt":"2026-08-31T06:39:37.594Z","updatedAt":"2026-08-31T06:39:37.594Z"},{"id":"doi:10.2514/1.c037405","name":"Optimum Flap Deflection for Improved Aircraft Performance Using Surrogate Modeling","source":"crossref","abstract":"","url":"https://doi.org/10.2514/1.c037405","authors":["Mrunalini Buddhiraju","Sabari Girish Sudarsanan","Archana A. Mhaske"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-09-14T00:18:11Z","doi":"10.2514/1.c037405","addedAt":"2026-08-31T06:39:37.594Z","updatedAt":"2026-08-31T06:39:37.594Z"},{"id":"doi:10.1016/b978-0-443-15373-0.00014-7","name":"Aircraft funding—Debt, equity, and the capital markets","source":"crossref","abstract":"","url":"https://doi.org/10.1016/b978-0-443-15373-0.00014-7","authors":["Vitaly S. Guzhva","Sunder Raghavan","Damon J. D’Agostino"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-07-19T05:56:03Z","doi":"10.1016/b978-0-443-15373-0.00014-7","addedAt":"2026-08-31T06:39:37.594Z","updatedAt":"2026-08-31T06:39:37.594Z"},{"id":"doi:10.1016/b978-0-443-15373-0.01001-5","name":"Front Matter","source":"crossref","abstract":"","url":"https://doi.org/10.1016/b978-0-443-15373-0.01001-5","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-07-19T05:56:09Z","doi":"10.1016/b978-0-443-15373-0.01001-5","addedAt":"2026-08-31T06:39:37.594Z","updatedAt":"2026-08-31T06:39:37.594Z"},{"id":"doi:10.4050/f-0080-2024-1167","name":"Multifidelity Uncertainty Quantification in Battery Performance for eVTOL Flights Under Material and Loading Uncertainties","source":"openalex","abstract":"This study addresses safety concerns within the rapidly evolving Electric Vertical Takeoff and Landing (eVTOL) aircraft domain, focusing on efficient tools to quantify uncertainties in lithium-ion battery behavior - a critical aspect of eVTOL. One major issue with quantifying uncertainty is the prohibitive computational cost associated with many queries of an expensive-to-evaluate computational model. This work employs three physics-based battery models models of varying fidelity and cost to estimate the mean and the variance of the selected quantities of interest through a multifidelity method to reduce the computation cost. By combining information from multiple cheaper, lower-fidelity models through the Multifidelity Monte Carlo method, we significantly reduce the number of high-fidelity samples required for a prescribed mean-squared error, consequently reducing computational costs down to a tractable level. The proposed methodology is applied to estimate the mean and the variance of the battery temperature and voltage, accounting for uncertainties in flight conditions and materials. The first example focuses on a 580-second flight and is benchmarked against a standard Monte Carlo sampling technique. Results indicate a notable fourfold speed-up using the Multifidelity Monte Carlo method compared to the standard Monte Carlo method for the same mean-squared error for the voltage estimate. To showcase the method's generality, the multifidelity method is then applied to a longer flight of 3580 seconds for estimating the mean and the variance and utilizing these statistics to approximately estimate the probability of the flight completion. This demonstrates the adaptability of the methodology to various power profiles and considered uncertainties, with potential extensions to any battery chemistry. In conclusion, the presented multifidelity method offers a robust approach to enhance eVTOL safety by efficiently estimating uncertainties in battery behavior.","url":"https://doi.org/10.4050/f-0080-2024-1167","authors":["Alvaro Diaz Flores Caminero","H. Alicia Kim","Anirban Chaudhuri","Alexandre Guibert","H A. Kim","A G Guibert"],"tags":["Uncertainty quantification","Battery (electricity)","Environmental science","Computer science","Measurement uncertainty"],"confidence":0.72,"sites":["low-altitude"],"publishedDate":"2024-05-07","doi":"10.4050/f-0080-2024-1167","addedAt":"2026-08-31T06:39:37.594Z","updatedAt":"2026-08-31T14:45:35.251Z"},{"id":"doi:10.25144/21507","name":"MILITARY AIRCRAFT NOISE IN DENMARK - ENVIRONMENTAL ASPECTS AND PLANNING","source":"crossref","abstract":"","url":"https://doi.org/10.25144/21507","authors":["C SVANE","B PLOVSING"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-05-01T09:15:20Z","doi":"10.25144/21507","addedAt":"2026-08-31T06:39:37.594Z","updatedAt":"2026-08-31T06:39:37.594Z"},{"id":"doi:10.1149/ma2024-02129mtgabs","name":"(Invited) Assessment of Extreme High-Power Demand for Evtol Li-Ion Batteries","source":"crossref","abstract":"Designing battery systems for electric vertical take-off and landing (eVTOL) platforms is challenging because they require high-power demands during crucial flight maneuvers. The eVTOL application needs exceptionally high discharge rates from the on-board lithium-ion batteries (LiBs) during several phases of its mission. However, LiBs have not been explored enough under high-power discharge scenarios, such as that of an eVTOL, because the current application spectrum in electric vehicles (EVs) and electronic devices does not require such high power. In a recent study, we simulated the initial take-off step of electric vertical takeoff and landing (eVTOL) vehicles powered by a lithium-ion battery subjected to an intense 15C discharge pulse at the beginning of the discharge cycle followed by a subsequent low-rate discharge. we conducted extensive electrochemical testing to assess the long-term stability of a lithium-ion battery under these high-strain conditions. The main finding is that despite the performance recovery observed at low rates, the re-application of high rates leads to drastic cell failure. These results highlight the eVTOL battery longevity challenge and emphasize the need for tailored battery chemistry designs for eVTOL applications to address both anode plating and cathode instability.","url":"https://doi.org/10.1149/ma2024-02129mtgabs","authors":["Ilias Belharouak","Marm Dixit","Anuj Bisht","Chol-Bum Kweon","Ruhul Amin","Ali Abouimrane"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-12-19T21:23:11Z","doi":"10.1149/ma2024-02129mtgabs","addedAt":"2026-08-31T06:39:37.594Z","updatedAt":"2026-08-31T06:39:37.594Z"},{"id":"doi:10.1115/gt2024-124447","name":"Assessing the Environmental Impact of Aircraft / Engine Integration With Respect to Contrails","source":"crossref","abstract":"Abstract In recent years, the radiative forcing of aircraft contrails and aircraft-induced contrail cirrus have been highlighted as a serious short-term climate impact of the aviation industry. Greater understanding of factors influencing contrail properties are required if routes to mitigation are to be explored. In the current work, a parametric turbofan powered aircraft model has been created to study the impact that aircraft design, in particular the interaction between the jet and wingtip vortex, can have on ice crystal formation, growth, and dynamics within a contrail. To investigate this, a contrail microphysics module has been developed and integrated within Rolls-Royce in-house Hydra CFD code. Three-dimensional Reynolds-Averaged Navier-Stokes simulations are conducted over the jet and early vortex regime, covering an area which is often simplified in most contrail modelling approaches. It is found that the position of the engine along the wing of an aircraft can impact the formation of the wingtip vortex, altering the contrail properties and distribution downstream of the aircraft. The effect of multi-engine architecture is also assessed and shown to influence the magnitude of exhaust entrainment into the vortex.","url":"https://doi.org/10.1115/gt2024-124447","authors":["Joseph Ramsay","Indi Tristanto","Shahrokh Shahpar","Alistair John"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-08-28T19:29:11Z","doi":"10.1115/gt2024-124447","addedAt":"2026-08-31T06:39:37.594Z","updatedAt":"2026-08-31T06:39:37.594Z"},{"id":"doi:10.4271/epr2020022","name":"Unsettled Issues Concerning the Opportunities and Challenges of eVTOL Applications during a Global Pandemic","source":"crossref","abstract":"&lt;div class=\"section abstract\"&gt;&lt;div class=\"htmlview paragraph\"&gt;Recent advancements of electric vertical takeoff and landing (eVTOL) aircraft have generated significant interest within and beyond the traditional aviation industry, and many new and novel applications have been identified and under development. The COVID-19 crisis has highlighted the challenges of managing a global pandemic response due to the difference in regional and local resources, culture, and political systems. Although there may not be a uniform crisis management strategy that the world can agree on, we can leverage a new generation of vertical flight vehicles to make a difference if (or when) such a global epidemic strikes again. One of the key challenges realized in the early stage of the COVID-19 outbreak is the ability to allocate and distribute limited and critical medical resources, including equipment, supplies, medical personnel, and first responders to the hot spots when and where they may be needed. The on-demand logistics capabilities could be enhanced by the availability of new-generation eVTOL aircraft and their forthcoming autonomous operation. The ability to land and takeoff at many unconventional locations makes eVTOL aircraft valuable assists for complementing and enhancing on-demand logistic needs. To make such operations truly productive is not easy; there are reassociated challenges that needed to be addressed to enable the benefit of such a system. In addition to having a large enough eVTOL fleet near a location that can be available for the pandemic responses, the support system and the ability to deploy and reposition the fleet dynamically with supporting infrastructures are also required. Based on the rapid development progress of eVTOL, it is envisioned that those challenges can be addressed soon.&lt;/div&gt;&lt;/div&gt;","url":"https://doi.org/10.4271/epr2020022","authors":["Johnny Doo"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2021-06-11T08:33:00Z","doi":"10.4271/epr2020022","addedAt":"2026-08-31T06:39:37.594Z","updatedAt":"2026-08-31T06:39:39.468Z"},{"id":"doi:10.1016/j.tbs.2026.101316","name":"Unraveling the land-air mobility travel behaviour: coordinating SAEV and eVTOL aircraft","source":"openalex","abstract":"","url":"https://doi.org/10.1016/j.tbs.2026.101316","authors":["Zhijing Wang","Feng Li","Hongyue Zhou","Kai Huang","Honggang Zhang","Feng Ping Li"],"tags":["Transport engineering","Business","Computer science","Poison control","Air travel"],"confidence":0.72,"sites":["low-altitude"],"publishedDate":"2026-05-25","doi":"10.1016/j.tbs.2026.101316","addedAt":"2026-08-31T06:39:37.594Z","updatedAt":"2026-08-31T14:45:35.251Z"},{"id":"doi:10.1016/b978-0-443-15373-0.00006-8","name":"Overview of the aircraft leasing industry and market environment","source":"crossref","abstract":"","url":"https://doi.org/10.1016/b978-0-443-15373-0.00006-8","authors":["Vitaly S. Guzhva","Sunder Raghavan","Damon J. D’Agostino"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-07-19T05:52:58Z","doi":"10.1016/b978-0-443-15373-0.00006-8","addedAt":"2026-08-31T06:39:37.594Z","updatedAt":"2026-08-31T06:39:37.594Z"},{"id":"doi:10.2139/ssrn.4947109","name":"Dual-Loop Fuel Cell-Battery Hybrid Evtol Sizing Based on Grey Wolf Optimizer and Refined Models","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.4947109","authors":["Ke Song","Jingyi Sun","Meihao Qiao","Qian Yu","Xing Huang","Yanju Li","Haoran Ma","Pengyu Huang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-09-05T01:17:15Z","doi":"10.2139/ssrn.4947109","addedAt":"2026-08-31T06:39:37.594Z","updatedAt":"2026-08-31T06:39:37.594Z"},{"id":"doi:10.17118/11143/20868","name":"Aerodynamic optimization of eVTOL rotor profiles","source":"crossref","abstract":"","url":"https://doi.org/10.17118/11143/20868","authors":["Firoozeh Yeganehdoust","Hamidreza Karbasian","Brian Vermeire"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-12-11T22:03:40Z","doi":"10.17118/11143/20868","addedAt":"2026-08-31T06:39:37.594Z","updatedAt":"2026-08-31T06:39:39.468Z"},{"id":"doi:10.25144/22197","name":"AIRCRAFT NOISE MEASUREMENT IMPACT AND CONTROL","source":"crossref","abstract":"","url":"https://doi.org/10.25144/22197","authors":["J SIMSON"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-06-04T15:50:35Z","doi":"10.25144/22197","addedAt":"2026-08-31T06:39:37.594Z","updatedAt":"2026-08-31T06:39:37.594Z"},{"id":"doi:10.4050/f-0080-2024-1391","name":"Rotary-wing vs. Fixed-wing: A Comparative Study of Pilot Performance in eVTOL Simulators","source":"crossref","abstract":"This paper examines the effect of automation on learning for two different types of pilots, rotary-wing and fixed-wing, on flight maneuvers including hovering, vertical takeoff, en route navigation, and approach and landing. Building on existing research, the performance of 11 rotary-wing pilots and 28 fixed-wing pilots was examined during the final repetition of a flight profile to evaluate the level of proficiency gained in approximately 2 hours of training. Our findings suggest that although rotary-wing pilots benefit from their previous hover and take off experience, automation still improved their performance for these maneuvers. Additionally, fixed-wing pilots benefited from higher automation for hovering, en route navigation, and approach and landing maneuvers. These results are discussed in detail in the following sections, along with recommendations for training programs, curricula designers, and manufacturers in the evolving eVTOL landscape.","url":"https://doi.org/10.4050/f-0080-2024-1391","authors":["Maria Chaparro Osman","Steve Ellis","Kent Halverson","Samantha Emerson","Olivia Fox Cotton","Cherrise Ficke"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-09-20T14:39:28Z","doi":"10.4050/f-0080-2024-1391","addedAt":"2026-08-31T06:39:37.594Z","updatedAt":"2026-08-31T06:39:37.594Z"},{"id":"doi:10.1049/icp.2024.2809","name":"Performance and compensation loss analysis of EVTOL heat pump air conditioning system","source":"crossref","abstract":"","url":"https://doi.org/10.1049/icp.2024.2809","authors":["Yumeng Liu","Shiyu Feng"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-01-09T11:19:08Z","doi":"10.1049/icp.2024.2809","addedAt":"2026-08-31T06:39:37.594Z","updatedAt":"2026-08-31T06:39:37.645Z"},{"id":"doi:10.2514/1.c037049","name":"Control-Oriented Modeling for Flexible Aircraft","source":"crossref","abstract":"Flexible aircraft designs with high-aspect-ratio wings and lightweight structures are increasingly adopted to achieve improved fuel efficiency. To design a controller for a flexible aircraft, a low-order model of its dynamics that captures the aeroelastic behavior is needed. One approach to establishing such a low-order model is to extend the six-degree-of-freedom rigid aircraft model with additional elastic states. However, most of the existing models along these lines are based on simplified aerodynamics models (e.g., experimentally corrected aerodynamic coefficients), which limits the applicability of such low-order models in early design stages. In this work, a semi-analytical model of flexible aircraft is established through the combination of the dynamics of elastic body and the numerical linearization of high-order structure and aerodynamics models. The proposed model is derived in the body-fixed axes formulation, represents full flight dynamics (both longitudinal and lateral), and preserves the physical meanings for the states and all the derived terms. Static residualization is also adopted to enhance the model’s accuracy with a limited number of elastic states. Using the proposed approach, low-order semi-analytical models are exemplified for different complexity aircraft representations and verified against the corresponding nonlinear high-order models.","url":"https://doi.org/10.2514/1.c037049","authors":["Molong Duan","Carlos E. S. Cesnik","Ilya V. Kolmanovsky","Fabio Vetrano"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-11-30T13:37:21Z","doi":"10.2514/1.c037049","addedAt":"2026-08-31T06:39:37.594Z","updatedAt":"2026-08-31T06:39:37.594Z"},{"id":"doi:10.2514/1.c037388","name":"Aerostructural Optimization and Comparative Study of Twin-Fuselage and Strut-Braced-Wing Aircraft Configurations","source":"crossref","abstract":"The ultrahigh-aspect-ratio wing (UHARW) concept is a promising configuration to achieve future sustainable aviation goals. Twin-fuselage (TF) and strut-braced-wing (SBW) configurations are characterized by smaller structural bending moments and shear forces in the wing and are promising concepts for realizing UHARW designs. This paper addresses the aerostructural optimization problem of TF and SBW configurations with UHARW by using a coupled adjoint aerostructural optimization tool, which is composed of a geometrically nonlinear structural solver and a quasi-three-dimensional natural laminar flow (NLF) aerodynamic solver. The optimization results show significant improvements in fuel efficiency and performance for the TF and SBW aircraft, with fuel mass reductions of 13 and 10%, respectively, compared to the corresponding baseline aircraft designed in the conceptual design phase. In comparison to the original reference aircraft A320neo, the optimized TF and SBW have 48 and 31% lower fuel weights, respectively. The NLF range of both upper and lower wing surfaces is expanded during optimization. The optimized SBW configuration has a wing aspect ratio of 26.01, while the optimized TF has a wing aspect ratio of 20.74, indicating that the SBW concept is more conducive to realizing UHARW design compared with the TF configuration studied in this work. The optimized TF aircraft has a lighter fuel weight and gross weight compared to the optimized SBW aircraft, which is because the TF aircraft has a lighter operational empty weight, including a lighter fuselage structural weight, landing gear weight, etc., whereas the top-level aircraft requirements are the same for both aircraft, including range, payload, and cruise Mach.","url":"https://doi.org/10.2514/1.c037388","authors":["Yiyuan Ma","Morteza Abouhamzeh","Ali Elham"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-12-09T14:25:22Z","doi":"10.2514/1.c037388","addedAt":"2026-08-31T06:39:37.594Z","updatedAt":"2026-08-31T06:39:37.594Z"},{"id":"doi:10.1016/b978-0-323-95318-4.00013-6","name":"Copyright","source":"crossref","abstract":"","url":"https://doi.org/10.1016/b978-0-323-95318-4.00013-6","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-01-19T08:56:47Z","doi":"10.1016/b978-0-323-95318-4.00013-6","addedAt":"2026-08-31T06:39:37.594Z","updatedAt":"2026-08-31T06:39:37.594Z"},{"id":"doi:10.1016/j.ast.2026.112586","name":"Efficient co-design of eVTOL aircraft via adaptive time-grid refinement strategy","source":"openalex","abstract":"","url":"https://doi.org/10.1016/j.ast.2026.112586","authors":["Yan Zhou","Wei Li","Huanwei Xu","Liang Gao","Akhil Garg","Haihong Huang","L L Gao"],"tags":["Discretization","Convergence (economics)","Computer science","Key (lock)","Computational complexity theory"],"confidence":0.72,"sites":["low-altitude"],"publishedDate":"2026-05-14","doi":"10.1016/j.ast.2026.112586","addedAt":"2026-08-31T06:39:37.594Z","updatedAt":"2026-08-31T14:45:35.251Z"},{"id":"doi:10.2139/ssrn.6371738","name":"eVTOL Air Taxis in London: A Passenger-Centric Policy and Systems Framework","source":"crossref","abstract":"Urban air mobility (UAM) has emerged as a potential transportation model intended to reduce congestion and travel times in dense metropolitan areas. Among the most prominent platforms associated with UAM are electric vertical take-off and landing (eVTOL) aircraft, which use electric propulsion to enable short-distance passenger flights within cities. Although technological development of these systems has advanced rapidly, real-world deployment raises broader challenges involving regulation, infrastructure, environmental impact, and passenger acceptance. This paper examines the feasibility of passenger-oriented eVTOL air taxi services in London through a policy and systems framework. The analysis evaluates the regulatory, engineering, infrastructural, and human-centred conditions required for operational viability. It reviews the UK aviation governance environment, considers safety and energy constraints associated with eVTOL aircraft, and examines infrastructure requirements such as vertiports and charging systems. The study also discusses passenger accessibility, perceived safety, and digital service design. The paper argues that successful deployment of passenger eVTOL services will depend on coordinated development across aircraft engineering, infrastructure, governance, and public acceptance.","url":"https://doi.org/10.2139/ssrn.6371738","authors":["Avalon Jarvi","Nathaniel Nadler"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-04-20T15:06:14Z","doi":"10.2139/ssrn.6371738","addedAt":"2026-08-31T06:39:37.594Z","updatedAt":"2026-08-31T06:39:39.046Z"},{"id":"doi:10.1109/icdcm60322.2024.10665005","name":"Remaining Useful Life digital shadow for an eVTOL Powertrain","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icdcm60322.2024.10665005","authors":["Jack Hannum","Kerry Sado","Aqarib Hussain","George Anthony","Jason Bakos","Austin Downey","Kristen Booth"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-09-17T18:46:43Z","doi":"10.1109/icdcm60322.2024.10665005","addedAt":"2026-08-31T06:39:37.594Z","updatedAt":"2026-08-31T06:39:37.594Z"},{"id":"doi:10.1017/aer.2023.87","name":"Full envelope nonlinear flight controller design for a novel electric VTOL (eVTOL) air taxi","source":"crossref","abstract":"Abstract On-demand urban air transportation gains popularity in recent years with the introduction of the electric VTOL (eVTOL) aircraft concept. There is an emerging interest in short/medium range eVTOL air taxi considering the critical advantages of electric propulsion (i.e. low noise and carbon emission). Using several electric propulsion systems (distributed electric propulsion (DEP)) has further advantages such as improved redundancy. However, flight controller design becomes more challenging due to highly over-actuated and coupled dynamics. This study defines and resolves flight control problems of a novel DEP eVTOL air taxi. The aircraft has a fixed-wing surface to have aerodynamically efficient cruise flight, and uses only tilting electric propulsion units to achieve full envelope flight control via pure thrust vector control. The aircraft does not have conventional control surfaces such as aileron, rudder or elevator. Using pure thrust vector control has some design benefits, but the control problem becomes more challenging due to the over-actuated and highly coupled dynamics (especially in transition flight). A preliminary flight dynamics model is obtained considering the dominant effects at hover and high-speed forward flight. Hover and forward flight models are blended to simulate the transition dynamics. Two central challenges regarding the flight control are significant nonlinearities in aircraft dynamics during the transition and proper allocation of the thrust vector control specifically in limited control authority (actuator saturation). The former challenge is resolved via designing a sensor-based incremental nonlinear dynamic inversion (INDI) controller to have a single/unified controller covering the wide flight envelope. For the latter one, an optimisation-based control allocation (CA) approach is integrated into the INDI controller. CA requires special attention due to the pure thrust vector control’s highly coupled dynamics. The controller shows satisfactory performance and disturbance rejection characteristics. Moreover, the CA plays a vital role in guaranteeing stable flight in case of severe actuator saturation.","url":"https://doi.org/10.1017/aer.2023.87","authors":["E.C. Suiçmez","A.T. Kutay"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-10-19T05:56:31Z","doi":"10.1017/aer.2023.87","addedAt":"2026-08-31T06:39:37.594Z","updatedAt":"2026-08-31T06:39:37.594Z"},{"id":"doi:10.1016/j.ast.2024.109017","name":"Aerodynamic interaction between tandem propellers in eVTOL transition flight configurations","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.ast.2024.109017","authors":["Alex Zanotti","Alessandro Velo","Chiara Pepe","Alberto Savino","Donato Grassi","Luca Riccobene"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-02-29T23:20:54Z","doi":"10.1016/j.ast.2024.109017","addedAt":"2026-08-31T06:39:37.594Z","updatedAt":"2026-08-31T06:39:37.594Z"},{"id":"doi:10.4050/sm-2024-tvf-5100","name":"Investigation of eVTOL Operations in Turbulent Airwake Using Comprehensive Rotorcraft Analysis and Physics-Based Electric Propulsion System Models","source":"crossref","abstract":"Expanding on previous investigations of coupled rotorcraft comprehensive simulation with physics-based electric propulsion models, the research focuses on transient flight operations of electric vertical takeoff and landing (eVTOL) aircraft in turbulent environments. Operations in urban environment introduce challenges in approach, takeoff, and landing for eVTOL aircraft in steady wind which are exacerbated by ambient turbulence that affects flight control and power requirements. The study emphasizes the importance of considering power demand variations during the early stages of eVTOL design, highlighting implications for hardware selection in electric propulsion components and explores heat dissipation challenges during high discharge rates at low airspeeds and in turbulent airwake.","url":"https://doi.org/10.4050/sm-2024-tvf-5100","authors":["Jan Goericke","Dooyong Lee","Zoren Habana","Zoren Habana"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-06-08T22:48:19Z","doi":"10.4050/sm-2024-tvf-5100","addedAt":"2026-08-31T06:39:37.594Z","updatedAt":"2026-08-31T06:39:37.594Z"},{"id":"doi:10.1115/gt2024-125840","name":"Optimization of a Battery Electric Hybrid Propulsion System for a Short Range Aircraft","source":"crossref","abstract":"Abstract In this paper, a serial electric hybrid propulsion system with a technology level of an entry into service in 2035 is designed and evaluated in a multidisciplinary way. The propulsion system is targeted for a 70-passenger regional aircraft with an typical mission of 400nm. The boundary conditions are set in the LuFo VI project TELEM. In a novel approach the complete propulsion system consisting of propulsors, electric motors, electrical system, generator, batteries, gas turbine and nacelles is modelled. With this approach the propulsion system can be optimized regarding a given figure of merit and tailored to the specific boundary conditions in a multi-design point approach for all relevant operating points. Design rules for an electro-hybrid propulsion system were developed, which can consider any degree of hybridization in any operating point. In addition to the thermodynamic and aerodynamic design, weights, nacelle geometry, drag, thermal management, emissions and operating costs can be assessed, resulting in an integrated propulsion system design. Individual dependencies between the disciplines, such as the dependence of the nacelle drag on the performance of the thermal management are taken into consideration during the multi-design point sizing of the components. This allows the evaluation of the multidisciplinary figure of merit “block energy”.","url":"https://doi.org/10.1115/gt2024-125840","authors":["Jonas Schroeter","Fabian Armbrüster","Reinhold Schaber","Volker Gümmer"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-08-28T19:31:01Z","doi":"10.1115/gt2024-125840","addedAt":"2026-08-31T06:39:37.594Z","updatedAt":"2026-08-31T06:39:37.594Z"},{"id":"doi:10.2514/1.c037475","name":"Fretting Fatigue of Riveted Lap Joints in Aircraft Fuselage","source":"crossref","abstract":"Failure of riveted lap joints originating from fretting fatigue has been responsible for a number of structural failures of aircraft in midflight. Using a combination of extended finite element method analysis and experimental data, this paper investigates the formation and propagation of cracks initiated by fretting, and how it is influenced by rivet squeeze force and by the applied fatigue stresses. It is found that fretting and plain fatigue crack growth life increase with the increase of rivet squeeze force. However, the rise of applied fatigue stress reduces fretting and plain fatigue crack growth life. Moreover, enhancing rivet squeeze force or applied fatigue stress decreases the ratio of fretting to total fatigue crack growth life.","url":"https://doi.org/10.2514/1.c037475","authors":["Huayang Zhang","Jinxiang Liu","Xin Liu"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-09-18T20:59:44Z","doi":"10.2514/1.c037475","addedAt":"2026-08-31T06:39:37.594Z","updatedAt":"2026-08-31T06:39:37.594Z"},{"id":"doi:10.1299/jsmermd.2023.2a1-d11","name":"Research and development of variable pitch propeller mechanism for small unmanned aircraft(eVTOL)","source":"crossref","abstract":"","url":"https://doi.org/10.1299/jsmermd.2023.2a1-d11","authors":["Takashi NOZAKI","Sora SUZUKI","Ryuga SHIRATORI","Akira SATO","Hiroto SUZUKI","Ikuyo MAKINO","Koji MURAOKA"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-01-24T22:21:06Z","doi":"10.1299/jsmermd.2023.2a1-d11","addedAt":"2026-08-31T06:39:37.594Z","updatedAt":"2026-08-31T06:39:39.468Z"},{"id":"doi:10.2514/1.c037343","name":"Optimization of Lift-Plus-Cruise Vertical Take-Off and Landing Aircraft with Electrified Propulsion","source":"crossref","abstract":"Conventional aircraft sizing methods face challenges in analyzing all-electric or hybrid-electric novel aircraft configurations, such as those for urban air mobility applications. The vast design space containing both continuous and discrete design variables and competing design objectives necessitates searching for not necessarily a unique optimal design but rather an array of Pareto-optimal designs. This paper uses the Parametric Energy-Based Aircraft Configuration Evaluator, an aircraft sizing framework for novel aircraft and propulsion system architectures, to pursue multi-objective optimization of a lift-plus-cruise urban air mobility aircraft with all-electric, hybrid-electric, and turbo-electric propulsion system architectures using Nondominated Sorting Genetic Algorithm II. The optimization cases considered include multiple objective functions, such as maximum takeoff mass, mission time, energy and propulsion mass fraction, and energy used per unit distance per unit payload. Optimization was performed for trip distances of 80, 120, and 150 km and battery specific energy levels of 350 and 400 Wh/kg. Except when mission time was an objective function, Pareto-optimal designs occurred near the lower bound of the velocity range. Raising that bound had an impact on the architectural composition of the final generation. All-electric architectures appeared exclusively for lower trip distances, hybrid-electric designs appeared for longer trip distances, and turbo-electric designs only appeared for combinations of longer trip distances, a higher minimum cruise speed, and a lower battery specific energy level. The sizing results were sensitive to assumptions regarding the overload capacity of lift propulsor motors in postfailure conditions.","url":"https://doi.org/10.2514/1.c037343","authors":["Rajan Bhandari","Aashutosh Aman Mishra","Imon Chakraborty"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-01-18T16:07:51Z","doi":"10.2514/1.c037343","addedAt":"2026-08-31T06:39:37.594Z","updatedAt":"2026-08-31T06:39:37.594Z"},{"id":"doi:10.1109/lcsys.2021.3089130","name":"Pitch and Thrust Allocation for Full-Flight-Regime Control of Winged eVTOL UAVs","source":"crossref","abstract":"","url":"https://doi.org/10.1109/lcsys.2021.3089130","authors":["Jacob B. Willis","Randal W. Beard"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2021-06-14T20:27:50Z","doi":"10.1109/lcsys.2021.3089130","addedAt":"2026-08-31T06:39:37.594Z","updatedAt":"2026-08-31T06:39:39.325Z"},{"id":"doi:10.1142/s2301385028300016","name":"eVTOL Aircraft for Last-Mile Delivery: Opportunities, Challenges, and Climate Considerations","source":"crossref","abstract":"With the increasing demand for sustainable and efficient last-mile delivery, electric vertical take-off and landing (eVTOL) aircraft are emerging as a groundbreaking solution. By bypassing the challenges of ground congestion, eVTOL systems can reach hard-to-access urban and rural areas, transforming delivery networks. This paper presents a structured and systematic review of eVTOL technologies across five domains: design and aerodynamics, control strategies, energy systems, last-mile delivery integration, and climate-related performance constraints. Unlike descriptive surveys, the review synthesizes evidence across studies to identify cross-domain trade-offs, performance limitations, and operational implications for short-range, hover-dominant delivery missions. To make the role of atmospheric conditions explicit, we introduce a compact climate–performance interaction framework that links key climate variables (wind, temperature, density-altitude, and precipitation) to aerodynamic, control, and energy metrics relevant for VTOL last-mile operations. Building on this framework, we examine how operational weather conditions such as wind, extreme temperatures, and precipitation impact eVTOL performance and mission reliability. Particular emphasis is placed on climate influences, which remain underexamined yet critically shape operational feasibility in densely built environments. Using a transparent inclusion and classification framework, the study evaluates how eVTOL performance, autonomy, and energy efficiency interact with logistics demands and urban constraints. The paper identifies critical gaps in research: (1) improving the ability of eVTOLs to adapt to unpredictable weather, (2) enhancing energy management and advancing battery technologies, (3) increasing the role of autonomy, artificial intelligence (AI), and machine learning in navigation, (4) seamlessly integrating eVTOLs into larger logistics networks, and (5) exploring the potential of multi-drone swarming. Overall, this review demonstrates that the successful deployment of eVTOLs for last-mile delivery depends on coordinated advances in aircraft design, autonomy, energy systems, infrastructure, and climate-aware planning. The synthesis presented herein provides a foundation for future research and the development of scalable, resilient, and sustainable eVTOL delivery ecosystems.","url":"https://doi.org/10.1142/s2301385028300016","authors":["Badar Ali","Mingkai Wang","Mohamed Elhesasy","Yahya Khurshid","Mohamed M. Kamra","Tarek N. Dief"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-03-06T05:46:06Z","doi":"10.1142/s2301385028300016","addedAt":"2026-08-31T06:39:37.594Z","updatedAt":"2026-08-31T06:39:39.325Z"},{"id":"doi:10.1109/icuas60882.2024.10556905","name":"Including Unmanned Aircraft Systems in the Existing Scheme of Emergency Medical Services in the EU","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icuas60882.2024.10556905","authors":["Iva Savić"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-06-19T17:22:59Z","doi":"10.1109/icuas60882.2024.10556905","addedAt":"2026-08-31T06:39:37.594Z","updatedAt":"2026-08-31T06:39:37.594Z"},{"id":"doi:10.1016/b978-0-443-15373-0.11001-7","name":"About the authors","source":"crossref","abstract":"","url":"https://doi.org/10.1016/b978-0-443-15373-0.11001-7","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-07-19T05:56:14Z","doi":"10.1016/b978-0-443-15373-0.11001-7","addedAt":"2026-08-31T06:39:37.594Z","updatedAt":"2026-08-31T06:39:37.594Z"},{"id":"doi:10.5139/jksas.2021.49.10.859","name":"Development of Mission Analysis Tool for eVTOL Aircrafts of Lift-Tilt Concept","source":"crossref","abstract":"","url":"https://doi.org/10.5139/jksas.2021.49.10.859","authors":["Seung-Kil Paek","Sanghyun Chae","Hee Jung Kang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2021-10-11T21:36:02Z","doi":"10.5139/jksas.2021.49.10.859","addedAt":"2026-08-31T06:39:37.594Z","updatedAt":"2026-08-31T06:39:39.325Z"},{"id":"doi:10.55592/cilamce.v6i06.10234","name":"Dynamic effects on different rotor profiles for eVTOL applications","source":"crossref","abstract":"Electric Vertical Take-Off and Landing (eVTOL) aircraft, commonly known as eVTOLs, represent a recent and promising concept for enhancing urban mobility, particularly in densely populated areas. However, the development of eVTOLs has been accompanied by various technical and technological challenges, primarily due to the rapid introduction of new concepts. Among these challenges, this study focuses on investigating the dynamic effects on rotor blades designed for such aircraft. Rotor blades, being subject to rotational dynamic effects, exhibit behavior distinct from components lacking angular velocity. Therefore, they are of particular interest for dynamic analysis. The study begins by defining a simplified geometry representative of a rotor blade, which serves as the basis for applying finite element methods using Ansys software. This approach enables the observation of the system's response to rotation. Following, more detailed geometries representing rotors are modelled, respectively in NACA 0012, VR 08 and VR 12 airfoils, which are then subject to the rotational effects numerical calculations. The results obtained for the different aerodynamic profiles are then compared, presenting the differences caused by the different geometries and mass distributions implied. The results obtained from the analysis highlight the significant impact of angular velocity on the fundamental frequencies and modes of the dynamic system. These findings suggest the presence of effects such as spin softening and strain stiffening, along with identifying important frequency coupling points.","url":"https://doi.org/10.55592/cilamce.v6i06.10234","authors":["Brenno Taylor de Jesus Popov","Polliana Cândida Oliveira Martins"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-01-14T11:04:29Z","doi":"10.55592/cilamce.v6i06.10234","addedAt":"2026-08-31T06:39:37.594Z","updatedAt":"2026-08-31T06:39:37.594Z"},{"id":"doi:10.1299/jsmeted.2022.197","name":"Performance Evaluation for HVAC System on eVTOL","source":"crossref","abstract":"","url":"https://doi.org/10.1299/jsmeted.2022.197","authors":["SHI ZHENGQI","Junya Takekawa","Tomohiko Yamaguchi","Satoru Momoki"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-10-24T22:39:01Z","doi":"10.1299/jsmeted.2022.197","addedAt":"2026-08-31T06:39:37.594Z","updatedAt":"2026-08-31T06:39:39.325Z"},{"id":"doi:10.1016/b978-0-323-95318-4.00014-8","name":"Contents","source":"crossref","abstract":"","url":"https://doi.org/10.1016/b978-0-323-95318-4.00014-8","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-01-19T08:56:50Z","doi":"10.1016/b978-0-323-95318-4.00014-8","addedAt":"2026-08-31T06:39:37.594Z","updatedAt":"2026-08-31T06:39:37.594Z"},{"id":"doi:10.1002/9781394230648.fmatter","name":"Front Matter","source":"crossref","abstract":"","url":"https://doi.org/10.1002/9781394230648.fmatter","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-12-13T21:31:12Z","doi":"10.1002/9781394230648.fmatter","addedAt":"2026-08-31T06:39:37.594Z","updatedAt":"2026-08-31T06:39:37.594Z"},{"id":"doi:10.2139/ssrn.5077042","name":"Research on the Low-Carbon Economic Operation of Urban Multi-Energy Mecvpp with Distributed Energy Storage by Ev and Evtol Under Uam","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.5077042","authors":["Shiyun Chen","Yuhang Han","Nan Pan","Lianyong Luo","Mir Feroskhan","Shi Yin"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-12-30T21:37:43Z","doi":"10.2139/ssrn.5077042","addedAt":"2026-08-31T06:39:37.594Z","updatedAt":"2026-08-31T06:39:37.594Z"},{"id":"doi:10.2139/ssrn.4899079","name":"Dual-Loop Fuel Cell-Battery Hybrid Evtol Sizing Based on Grey Wolf Optimizer and Refined Model","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.4899079","authors":["Ke Song","Jingyi Sun","Meihao Qiao","Qian Yu","Xing Huang","Yanju Li","Haoran Ma","Pengyu Huang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-07-18T19:19:04Z","doi":"10.2139/ssrn.4899079","addedAt":"2026-08-31T06:39:37.594Z","updatedAt":"2026-08-31T06:39:37.594Z"},{"id":"doi:10.1016/j.cstp.2026.101725","name":"Corrigendum to “eVTOL aircraft for the low-altitude economy: a review of development history, core technologies, and future trends” [Case Stud. Transp. Policy 22 (2025) 101629]","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.cstp.2026.101725","authors":["Zhijun Meng","Jiachi Ji","Lulu Liu","Siyuan Liu","Zhen Sun","Qingfang Xiao","Zikang Yang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-01-27T16:39:00Z","doi":"10.1016/j.cstp.2026.101725","addedAt":"2026-08-31T06:39:37.594Z","updatedAt":"2026-08-31T06:39:39.046Z"},{"id":"doi:10.1016/j.cstp.2025.101689","name":"Corrigendum to “eVTOL aircraft for the low-altitude economy: A review of development history, core technologies, and future trends”. [Case Stud. Transport Policy 22 (2025) 101629]","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.cstp.2025.101689","authors":["Zhijun Meng","Jiachi Ji","Lulu Liu","Siyuan Liu","Zhen Sun","Qingfang Xiao","Zikang Yang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-12-15T16:10:51Z","doi":"10.1016/j.cstp.2025.101689","addedAt":"2026-08-31T06:39:37.594Z","updatedAt":"2026-08-31T06:39:39.046Z"},{"id":"doi:10.2514/1.c038778","name":"Passive Robust Airspeed Sensing for Uncrewed Aircraft Systems in Icing Conditions","source":"crossref","abstract":"An airspeed system specifically developed for small uncrewed aircraft systems (UAS) is proposed and tested in a multiphase wind tunnel. The system measures dynamic pressure on the lee side of the probe geometry, thereby reducing vulnerability to icing, contamination, and precipitation and enabling operation without heating. The underlying concept relies on calibrated pressure coefficient differences that preserve a monotonic relationship with dynamic pressure. Wind tunnel experiments were conducted under controlled Appendix C icing conditions, as well as clean and dry reference cases. The results demonstrate reliable airspeed measurements in adverse environments, with only slightly reduced accuracy compared to nonicing conditions. Gradual performance degradation rather than abrupt failure was observed, while runback icing was identified as the most critical limitation.","url":"https://doi.org/10.2514/1.c038778","authors":["Konrad Bärfuss","Mariachiara Gallia"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-06-13T11:38:44Z","doi":"10.2514/1.c038778","addedAt":"2026-08-31T06:39:37.594Z","updatedAt":"2026-08-31T06:39:37.594Z"},{"id":"doi:10.2514/6.2024-4183","name":"Comparison of Energy Use, Efficiency and Carbon Emissions of an Electric Aircraft and an Internal Combustion Engine Aircraft","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2024-4183","authors":["Daniel Buvarp","Jennifer Leijon"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-09-20T09:39:41Z","doi":"10.2514/6.2024-4183","addedAt":"2026-08-31T06:39:37.594Z","updatedAt":"2026-08-31T06:39:37.594Z"},{"id":"doi:10.1016/b978-0-323-95318-4.00015-x","name":"Index","source":"crossref","abstract":"","url":"https://doi.org/10.1016/b978-0-323-95318-4.00015-x","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-01-21T06:26:58Z","doi":"10.1016/b978-0-323-95318-4.00015-x","addedAt":"2026-08-31T06:39:37.594Z","updatedAt":"2026-08-31T06:39:37.594Z"},{"id":"doi:10.4050/f-0080-2024-1299","name":"Handling Qualities Analysis of a Large Multi-Rotor eVTOL Using RPM, Collective and Cyclic Control Allocation Methods","source":"crossref","abstract":"The Eagle Flight Research Center (EFRC) at Embry-Riddle Aeronautical University (ERAU) is investigating the handling qualities of partial and full rotor failure modes of a multi-rotor vehicle testbed employing Distributed Electric Propulsion (DEP) systems intended for Advanced Air Mobility (AAM) vehicles. In order to pave the way for commercial operations, the AAM industry requires a deeper understanding of the handling characteristics and the vehicle's dynamics and controllability under rotor failure conditions. The objective of the research performed at the EFRC centered around designing and testing different thrust and moment control allocation methods for an electric Vertical Take-Off and Landing (eVTOL) vehicle, in addition to assessing their performance in both nominal and failure modes of operation. This paper focuses on analyzing the predicted handling qualities for a full-scale quadrotor testbed vehicle with RPM, collective, and cyclic blade pitch control allocation. The study uses flight-test data to develop a bare airframe dynamic model to optimize the controller gains, which are used to evaluate the predicted handling qualities though development of vehicle specific Handling Qualities Task Elements (HQTE) maneuvers. The evaluation is performed using an in-house built flight simulator together with the Cooper-Harper Rating Scale (CHRS) for Handling Qualities test evaluation. The handling qualities were evaluated and compared for different control strategies and a method for quantitative evaluation of handling qualities is presented.","url":"https://doi.org/10.4050/f-0080-2024-1299","authors":["Shivansh Agrawal","Syed Zuhair Ali Razvi","Patric Hruswicki","Kyle Collins"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-08-07T13:09:20Z","doi":"10.4050/f-0080-2024-1299","addedAt":"2026-08-31T06:39:37.594Z","updatedAt":"2026-08-31T06:39:37.594Z"},{"id":"doi:10.2514/1.c037711","name":"Dynamic Model of Vapor Compression Systems for Aircraft Environmental Control Systems","source":"crossref","abstract":"The optimization of novel aircraft Environmental Control System (ECS) architectures necessitates the support of complex numerical simulations. Within the framework of the more electric aircraft approach, a promising strategy to enhance the overall efficiency of traditional ECS involves the incorporation of vapor compression systems (VCSs), which offer superior cooling efficiency compared to conventional air cycle machines. In this study, a Modelica/Dymola library for simulating VCSs has been developed, with a focused emphasis on three critical attributes: numerical robustness, accuracy, and minimal computational time. To successfully integrate and simulate the VCS model into an entire ECS model, these characteristics are essential. An appropriate tradeoff has been achieved between the computational cost of the VCS model and its ability to accurately predict the system’s physical behavior (the heat exchangers have been modeled using a partial dynamic approach to optimize both robustness and computational efficiency). The VCS model has undergone thorough testing and has been seamlessly integrated into a representative ECS model to replicate a typical commercial airplane flight mission. A comparative analysis of the advantages offered by a variable-speed compressor versus a fixed-speed one has been conducted, revealing potential energy savings of up to 40%. Furthermore, the incorporation of an internal heat exchanger has led to additional energy savings exceeding 5%.","url":"https://doi.org/10.2514/1.c037711","authors":["Nicolás Ablanque","Santiago Torras","Joaquim Rigola","Carles Oliet"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-03-31T11:00:35Z","doi":"10.2514/1.c037711","addedAt":"2026-08-31T06:39:37.594Z","updatedAt":"2026-08-31T06:39:37.594Z"},{"id":"doi:10.2514/1.c037619","name":"Power Setting Estimation of Departing Civil Jet Aircraft Based on Machine Learning","source":"crossref","abstract":"This paper presents an approach for estimating the power setting, indicated as N1, the rotational speed of the low-pressure shaft, of departing civil jet aircraft to be used as input for accurate noise calculations. The method utilizes the machine learning approach random forest regression and is trained using flight data recorder data divided into three departure sections. Each section uses a unique set of three to four model features based on easily accessible data, such as position and airport meteorological data. Unlike previous methods, neither fixed configuration altitudes, aerodynamic coefficients, or engine coefficients, nor takeoff mass or wind information are required as inputs. To assess the performance of the method, noise calculations for departures of five aircraft types, including narrow- and wide-body jet aircraft, were performed. Comparing overall and aircraft-specific noise levels, calculated from estimated N1 versus recorded N1 values from flight data recorder data, revealed small differences of less than 1 dB. Overall, the present machine-learning-based approach provides reliable estimates of power settings for departing civil jet aircraft, offering improved accuracy and avoiding the need for numerous assumptions and hardly accessible data.","url":"https://doi.org/10.2514/1.c037619","authors":["Jonas Meister"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-07-09T12:14:16Z","doi":"10.2514/1.c037619","addedAt":"2026-08-31T06:39:37.594Z","updatedAt":"2026-08-31T06:39:37.594Z"},{"id":"doi:10.25144/22196","name":"LARGE AIRCRAFT ENGINE GROUND RUNNING NOISE","source":"crossref","abstract":"","url":"https://doi.org/10.25144/22196","authors":["IH FLINDELL","JB LARGE"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-06-04T15:50:35Z","doi":"10.25144/22196","addedAt":"2026-08-31T06:39:37.594Z","updatedAt":"2026-08-31T06:39:37.594Z"},{"id":"doi:10.1115/gt2024-121232","name":"Integrated Power and Thermal Management System for a Hybrid-Electric Aircraft: Integrated Modelling and Passive Cooling Analysis","source":"crossref","abstract":"Abstract Aircraft electrification introduces challenges in power and thermal management. In a hybrid-electric aircraft (HEA), the additional heat loads generated by the high-power electrical components in the propulsion system can negate the benefits of the HEA. Consequently, an integrated energy management system is required for the HEA to reject the additional heat loads while minimizing energy consumption. This paper presents the integrated modelling method for an integrated power and thermal management system (IPTMS) for HEA. With this method, a platform can be developed to assess the varying efficiencies of the components in the electrical propulsion system (EPS), such as the battery, motor, bus, and converter, and the performance of the thermal management system (TMS), such as passive cooling, during a flight mission. This makes it applicable to modular designs and optimizations of the IPTMS. A small/medium range (SMR) aircraft similar to ATR72 is studied to demonstrate the platform’s capabilities. In this study, the EPS operates only during take-off and climb. It provides supplementary propulsive power, which declines linearly from 924 kW to zero. Therefore, the platform assesses the heat and power loads of the IPTMS for a typical flight mission (take-off and climb) in this study. The performance of passive cooling is also analysed across this typical flight mission and under normal, hot-day, and cold-day conditions. It was found that under the normal condition, after the mid-climb flight mission, the EPS components except for the motor and the inverter can be cooled sufficiently by the passive cooling mechanism without any need for active cooling. However, the battery temperature decreases below its minimum operating temperature (15 °C) after the late-climb segment indicating the need for active temperature control to prevent damage. The passive cooling is still sufficient under the hot-day and cold-day conditions. Additionally, compared with the normal condition, the points at which passive cooling is sufficient to cool the component move forward in the hot-day condition and backward in the cold-day condition, respectively. Under the hot-day condition, the battery temperature is below its minimum temperature after the late-climb, still requiring active temperature control. In the cold-day condition, the bus, the converter, and the battery require active temperature control to prevent their temperatures below the minimum temperatures. Additionally, the heat from the gas turbine engine has a positive impact to ensure the motor and the inverter operate at their operating temperatures in cold conditions. The studied aircraft can be assessed with the integrated model under normal, hot-day, and cold-day conditions for heat and power loads, as well as passive TMS performance. This demonstrates the adaptability of the integrated modelling method. These findings imply the potential to minimize TMS weight and energy consumption, providing an insight for further research on IPTMS.","url":"https://doi.org/10.1115/gt2024-121232","authors":["Zeyu Ouyang","Theoklis Nikolaidis","Soheil Jafari"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-08-28T19:30:50Z","doi":"10.1115/gt2024-121232","addedAt":"2026-08-31T06:39:37.594Z","updatedAt":"2026-08-31T06:39:37.594Z"},{"id":"doi:10.1109/sti64222.2024.10951059","name":"Altitude Control of a Quad-Rotor Electric Vertical Take-Off and Landing (eVTOL) UAV Using PSO and GA Optimized PID Controller","source":"crossref","abstract":"","url":"https://doi.org/10.1109/sti64222.2024.10951059","authors":["Ovijit Bhattacharjee","Priyo Nath Roy","Md. Helal-An Nahiyan"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-04-11T17:52:24Z","doi":"10.1109/sti64222.2024.10951059","addedAt":"2026-08-31T06:39:37.594Z","updatedAt":"2026-08-31T06:39:37.594Z"},{"id":"doi:10.25144/21510","name":"STRATEGIC PLAN FOR RESEARCH ON EFFECTS OF AIRCRAFT NOISE ON HUMAN HEALTH","source":"crossref","abstract":"","url":"https://doi.org/10.25144/21510","authors":["RC KULL","LS FINEGOLD"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-05-01T09:15:20Z","doi":"10.25144/21510","addedAt":"2026-08-31T06:39:37.594Z","updatedAt":"2026-08-31T06:39:37.594Z"},{"id":"doi:10.25144/22842","name":"THE REDUCTION OF AIRCRAFT NOISE ZONES AROUND AIRPORTS BY INCREASING THE PROPORTION OF LOW NOISE AIRCRAFT","source":"crossref","abstract":"","url":"https://doi.org/10.25144/22842","authors":["J LANG"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-07-25T08:01:06Z","doi":"10.25144/22842","addedAt":"2026-08-31T06:39:37.594Z","updatedAt":"2026-08-31T06:39:37.594Z"},{"id":"doi:10.2514/1.c037403","name":"Statistical Analysis of the Surface Roughness on Aircraft Icing","source":"crossref","abstract":"A statistical analysis of the surface roughness is performed on experimentally obtained ice shapes on an asymmetrical airfoil at [Formula: see text]. The ice shapes were generated in the Icing Wind Tunnel of the Technical University of Braunschweig under Appendix C and O conditions of the EASA airplane certification standards as part of the ICE GENESIS project. The photogrammetry method is used for the digitization of the experimental ice shapes, while statistical parameters such as the mean ice shape and the local root mean square (RMS) of the ice geometry are extracted using a traditional surface projection method, as well as a self-organizing maps approach. Results show the evolution of the statistical parameters over time and the influence of the freestream static temperature on these parameters. A comparison between the experimental values of the local RMS of the ice geometry and a correlation for roughness prediction is presented, showing a good match with the original formulation of the correlation for cases under Appendix C conditions while having a good match with Appendix O conditions when a temperature correction factor is applied to the formulation. Additionally, results show an almost linear growth of roughness over the whole accretion time.","url":"https://doi.org/10.2514/1.c037403","authors":["Denis Sotomayor-Zakharov","Emmanuel Radenac","Mariachiara Gallia","Alberto Guardone","Inken Knop"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-12-29T12:11:26Z","doi":"10.2514/1.c037403","addedAt":"2026-08-31T06:39:37.594Z","updatedAt":"2026-08-31T06:39:37.594Z"},{"id":"doi:10.4050/f-0080-2024-1142","name":"Applying and Testing the ASTM F3673 - 23 Weather Standard Specification for Enhanced Safety and Efficiency in eVTOL and Helicopter Operations","source":"crossref","abstract":"This article addresses the critical need for enhanced weather observation and prediction systems for rotary-wing aircraft. Current weather systems lack granularity in low-altitude airspace, posing safety risks. The application of the ASTM F3673 - 23 Weather Standard Specification is proposed to standardize weather data collection and transition towards a weather sensor performance-based approach rather than instrument certifications, facilitating the deployment of advanced weather sensors. Today, heliports have a binary weather measurement system choice, expensive certified surface weather stations or a windsock. The standard has the potential to change this paradigm, by allowing the deployment of cost-effective digital sensor technology to reduce uncertainty about what is happening at a heliport or vertiport/vertiplex destination. Operationalizing this specification requires rigorous testing and collaboration through public-private partnerships. Bridging the weather educational gap is essential for enhancing safety in low-altitude aviation. Additionally, the integration of Digital Flight Rules (DFR) alongside the ASTM F3673 - 23 Weather Standard presents opportunities for modernizing air traffic management.","url":"https://doi.org/10.4050/f-0080-2024-1142","authors":["Don Berchoff","Clint Harper","Chris Zarzar"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-09-20T16:41:03Z","doi":"10.4050/f-0080-2024-1142","addedAt":"2026-08-31T06:39:37.594Z","updatedAt":"2026-08-31T06:39:37.594Z"},{"id":"doi:10.1115/gt2024-123819","name":"Experimental Analysis on Performance of Air/Oil Centrifugal Breathers for Aircraft Engines Under Different Operating Conditions","source":"crossref","abstract":"Abstract This paper investigates the separation efficiency of modern aeroengine air/oil breathers, focusing on identifying configurations that enhance existing geometries. The study systematically varies parameters such as air flow rates and rotational speed, using well-known particle size distributions for testing different configuration. The experimental campaign involves various breathers with metallic grids of different geometries and mesh sizes, evaluating performance parameters such as pressure drops, oil consumption, and droplet cut-off size. The insertion of a metallic grid with a narrow mesh is found to offer a favorable trade-off in terms of pressure drops, oil consumption, and particle size at the separator exit. Results indicate that while increasing pressure drops of a reasonable amount, the selected geometries significantly reduce oil consumption and size of droplet at the exit of the breather.","url":"https://doi.org/10.1115/gt2024-123819","authors":["Mariano Di Matteo","Olivier Berten","Patrick Hendrick"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-08-28T19:30:02Z","doi":"10.1115/gt2024-123819","addedAt":"2026-08-31T06:39:37.594Z","updatedAt":"2026-08-31T06:39:37.594Z"},{"id":"doi:10.1115/gt2024-122353","name":"Thermodynamic Modelling of Air Management System for Commercial Aircraft Environmental Control Systems","source":"crossref","abstract":"Abstract For a short-medium-range aircraft at cruise, the Environmental Control System (ECS) consumes about 75% of the total extracted engine bleed air on average. The Air Management System (AMS) of the ECS significantly reduces the bleed air pressure and temperature to meet the inlet requirements of the Pressurized Air Conditioning Kit (PACK). This paper aims to understand the impact of the conventional AMS on the engine performance and proposes an alternative AMS architecture for effective utilization of the bleed off-take pressure and temperature. Subsequently, a steady-state 0D thermodynamic analysis of the conventional and alternative AMS architectures is carried out using PROOSIS™ software, to study their impact on engine performance for different mission phases. Based on this preliminary thermodynamic analysis the alternative AMS shows a potential improvement of the engine performance mainly in terms of the TSFC, up to 0.7% across different mission phases.","url":"https://doi.org/10.1115/gt2024-122353","authors":["Subramanya Spurthy","Aleksandar Joksimović","Xavier Carbonneau","Sarah Rebholz","Frederic Tong-Yette"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-08-28T19:29:15Z","doi":"10.1115/gt2024-122353","addedAt":"2026-08-31T06:39:37.594Z","updatedAt":"2026-08-31T06:39:37.594Z"},{"id":"doi:10.2514/1.c037470","name":"Roll Maneuverability of Transonic High-Aspect-Ratio-Wing Aircraft with Flared Folding Wingtips","source":"crossref","abstract":"This paper investigates the roll maneuvers of a very flexible, transonic high-aspect-ratio-wing aircraft with flared folding wingtips, representing a potential future commercial transport configuration. The computational study leverages a fully coupled nonlinear aeroelastic-flight dynamics framework for simulating roll maneuvers commanded by deflecting control surfaces inboard or outboard of the flared folding wingtip hinge. Releasing the flared folding wingtips during flight makes the aircraft roll faster only when deflecting outboard-of-hinge leading-edge control surfaces. However, the achieved roll angles and rates are much lower than the ones obtained by deflecting inboard-of-hinge trailing-edge control surfaces, whose roll control effectiveness is not impacted or even degrades when releasing the flared folding wingtips. These trends are explained by analyzing the role of sweep-induced washout effects in the very flexible, transonic high-aspect-ratio wing, revealing physical mechanisms not identified in previous studies on straight or swept wings with moderate flexibility. Higher wing out-of-plane bending stiffness increases the effectiveness of flared folding wingtips in enhancing roll maneuvers at low dynamic pressure but plays a slight role at high dynamic pressure. This study highlights the need to consider the impact of washout effects for different flight conditions and levels of wing flexibility when assessing the ability of flared folding wingtips to enhance the roll maneuverability of transonic high-aspect-ratio-wing aircraft.","url":"https://doi.org/10.2514/1.c037470","authors":["Divya Sanghi","Carlos E. S. Cesnik","Cristina Riso"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-02-13T14:45:26Z","doi":"10.2514/1.c037470","addedAt":"2026-08-31T06:39:37.594Z","updatedAt":"2026-08-31T06:39:37.594Z"},{"id":"doi:10.3844/jastsp.2024.1.3","name":"Discussion on Google Earth Pro Software","source":"crossref","abstract":"","url":"https://doi.org/10.3844/jastsp.2024.1.3","authors":["Pedram Jafari Shalkouhi"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-04-26T15:45:47Z","doi":"10.3844/jastsp.2024.1.3","addedAt":"2026-08-31T06:39:37.594Z","updatedAt":"2026-08-31T06:39:37.594Z"},{"id":"doi:10.2514/1.c037779","name":"Propeller Ceiling Effect in Forward Flight","source":"crossref","abstract":"The study extends the investigation of the fixed-pitch small-scale propeller in the ceiling effect to forward flight conditions at different propeller incidence angles. Force-based experiments, phase-locked particle image velocimetry (PIV), and surface oil flow visualization were conducted on two APC propellers at the University of Dayton Low Speed Wind Tunnel. For propellers in edgewise flight, the power required at constant thrust decreases at small advance ratios for each [Formula: see text] and then increases with a further increase in the advance ratio. Tilting the propeller forward reduces the ceiling effect benefits in both thrust and power, particularly at higher advance ratios. Performance similarity in the propeller ceiling effect at different [Formula: see text] is observed, and a performance prediction method is proposed. Phase-locked PIV showed an increase in the propeller inflow angle in the ceiling effect at small advance ratios, resulting in higher thrust generation. This effect reduces with an increase in the advance ratio due to minimized interactions with the ceiling plate. Hence, the measured propeller in-ceiling-effect (ICE) propeller performance cannot represent the propeller ICE performance at a higher forward flight speed. Additionally, PIV and surface flow visualization indicated the presence of a stagnation point on the ceiling plate near the trailing side of the propeller disk at higher advance ratios, leading to a reduction in propeller thrust generation.","url":"https://doi.org/10.2514/1.c037779","authors":["Jielong Cai","Sidaard Gunasekaran"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-05-02T10:09:29Z","doi":"10.2514/1.c037779","addedAt":"2026-08-31T06:39:37.594Z","updatedAt":"2026-08-31T06:39:37.594Z"},{"id":"doi:10.2514/6.2021-1987","name":"Parametric Study of eVTOL Rotor Acoustic Design Trades","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2021-1987","authors":["Daniel Weitsman","Eric Greenwood"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2021-01-05T07:59:38Z","doi":"10.2514/6.2021-1987","addedAt":"2026-08-31T06:39:37.594Z","updatedAt":"2026-08-31T06:39:39.325Z"},{"id":"doi:10.1016/b978-0-443-15373-0.06002-9","name":"Foreword by Dick Forsberg","source":"crossref","abstract":"","url":"https://doi.org/10.1016/b978-0-443-15373-0.06002-9","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-07-19T05:56:15Z","doi":"10.1016/b978-0-443-15373-0.06002-9","addedAt":"2026-08-31T06:39:37.594Z","updatedAt":"2026-08-31T06:39:37.594Z"},{"id":"doi:10.1002/9781394230648.oth","name":"Also of Interest","source":"crossref","abstract":"","url":"https://doi.org/10.1002/9781394230648.oth","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-12-13T21:31:12Z","doi":"10.1002/9781394230648.oth","addedAt":"2026-08-31T06:39:37.594Z","updatedAt":"2026-08-31T06:39:37.594Z"},{"id":"doi:10.1016/b978-0-323-95318-4.00012-4","name":"Title page","source":"crossref","abstract":"","url":"https://doi.org/10.1016/b978-0-323-95318-4.00012-4","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-01-21T06:27:18Z","doi":"10.1016/b978-0-323-95318-4.00012-4","addedAt":"2026-08-31T06:39:37.594Z","updatedAt":"2026-08-31T06:39:37.594Z"},{"id":"doi:10.1115/gt2024-127050","name":"An Optimal Design of Aircraft Hybrid Powertrain Based on a Coupled Method","source":"crossref","abstract":"Abstract Hybrid aircraft can better meet the future needs of green aviation. The range and payload of battery electric aircraft are limited by the low energy density of the battery. Gas turbine hybrid systems can reduce the battery weight and increase the range and payload. In the engineering design aspect, how to select the optimal gas turbine power at design point and determine suitable off-design output power characteristics at different flight phases based on a specific mission profile is a worthy research topic. This paper presents a coupled optimization method for hybrid powertrain. Firstly, a component model of the gas turbine generator system and a battery model based on test data are established. Secondly, A design point power optimization method based on the bisection method is proposed. Further, an off-design output power optimization method based on the particle swarm optimization algorithm is also established. Based on the maximum and minimum output power capability of the gas turbine, a general table of numerical results of the non-linear equations is generated to accelerate the calculation of the off-design points based on the flight mission. Finally, based on the mission profile of NASA-X57, this paper designs the corresponding hybrid power system and compares its performance with the battery electric system, and the results show that the aircraft with optimized hybrid powertrain could increase the efficient payload (people and cargo) by 25%, the specific transportation cost (RMB/kg/km) is increased by 19%. The method proposed in this paper could provide a fast optimal design and performance evaluation of the hybrid powertrain based on a certain flight mission profile, which could provide the aircraft and powertrain manufacturers an efficient design tool.","url":"https://doi.org/10.1115/gt2024-127050","authors":["Xuankai Qiang","Yuping Qian","Weifeng Li","Hongsheng Jiang","Weilin Zhuge","Yangjun Zhang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-08-28T19:29:16Z","doi":"10.1115/gt2024-127050","addedAt":"2026-08-31T06:39:37.594Z","updatedAt":"2026-08-31T06:39:37.594Z"},{"id":"doi:10.5139/jksas.2024.52.8.623","name":"Time Delay Control Method for Controlling Actuators of eVTOL’s Rotor Blades","source":"crossref","abstract":"","url":"https://doi.org/10.5139/jksas.2024.52.8.623","authors":["Kangbin Lee","Jaehyun Jin","Hee-Jin Jang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-08-04T21:13:34Z","doi":"10.5139/jksas.2024.52.8.623","addedAt":"2026-08-31T06:39:37.594Z","updatedAt":"2026-08-31T06:39:37.594Z"},{"id":"doi:10.2514/1.c037456","name":"Modeling Aircraft Fuel Jettison Using Smoothed Particle Hydrodynamics on Finite-Volume Meshes","source":"crossref","abstract":"Weakly compressible smoothed particle hydrodynamics is used to investigate aircraft fuel jettison using a single-phase model. Fuel simulations are coupled to the aircraft computational fluid dynamics flowfield using cell containment checks on the finite-volume mesh to locate any smoothed particle hydrodynamics (SPH) particle within the mesh, after which the local flow velocity vector is retrieved and then used to apply an approximate aerodynamic force to the SPH particle based on a continuum correction to discrete droplet calculations. Further downstream, the SPH simulation may be continued, or a switch may be made to implicit particle tracking (IPT) in order to accelerate the simulation. Comparison to IPT results shows that a fluid model of the initial continuum breakup of the jet is required, but following this transition to IPT is reasonable to reduce computation time. Models are validated against volume of fluid (VOF) simulations, with the runtime of the proposed model being approximately 100 times less than the VOF, and good qualitative agreement is also found compared to recorded flight results.","url":"https://doi.org/10.2514/1.c037456","authors":["James MacLeod","Thomas Rendall","Christian B Allen"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-02-13T08:33:06Z","doi":"10.2514/1.c037456","addedAt":"2026-08-31T06:39:37.594Z","updatedAt":"2026-08-31T06:39:37.594Z"},{"id":"doi:10.4271/epr2023027","name":"Key Technology Challenges of Electric Ducted Fan Propulsion Systems for eVTOL","source":"crossref","abstract":"&lt;div class=\"section abstract\"&gt;&lt;div class=\"htmlview paragraph\"&gt;Electrical vertical takeoff and landing (eVTOL) vehicles for urban air mobility (UAM) are garnering increased attention from both the automotive and aerospace industries, with use cases ranging from individual transportation, public service, cargo delivery, and more. Distributed electric propulsion systems are their main technical feature; they determine vehicle size and propulsion efficiency and provide distributed thrust to achieve attitude control. Considering the intended role of eVTOL vehicles, ducted-fan systems are ideal choice for the propulsor, as the duct provides a physical barrier between the rotating blades and the human, especially during the take-off and landing phases.&lt;/div&gt;&lt;div class=\"htmlview paragraph\"&gt;&lt;b&gt;Key Technology Challenges of Electric Ducted Fan Propulsion Systems for eVTOL&lt;/b&gt; introduces the main bottlenecks and key enablers of ducted-fan propulsion systems for eVTOL applications. Based on the introduction and discussion of these important issues, this report will help eVTOL engineers understand the key technical issues and inspire them to develop the ideal solutions that will enable eVTOL vehicle deployment for UAM operations.&lt;/div&gt;&lt;div class=\"htmlview paragraph\"&gt;&lt;a href=\"https://www.sae.org/publications/edge-research-reports\" target=\"_blank\"&gt;Click here to access the full SAE EDGE&lt;/a&gt;&lt;sup&gt;TM&lt;/sup&gt;&lt;a href=\"https://www.sae.org/publications/edge-research-reports\" target=\"_blank\"&gt; Research Report portfolio.&lt;/a&gt;&lt;/div&gt;&lt;/div&gt;","url":"https://doi.org/10.4271/epr2023027","authors":["Yuping Qian","Yangjun Zhang","WEILIN ZHUGE"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-11-27T21:15:44Z","doi":"10.4271/epr2023027","addedAt":"2026-08-31T06:39:37.594Z","updatedAt":"2026-08-31T06:39:39.325Z"},{"id":"doi:10.2514/1.c037632.c1","name":"Correction: Neural-Network-Based Model for Trailing-Edge Flap Loads in Preliminary Aircraft Design","source":"crossref","abstract":"","url":"https://doi.org/10.2514/1.c037632.c1","authors":["Ralph Stephan","Cedric Heyen","Eike Stumpf","Johannes Ruhland","Christian Breitsamter"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-04-21T16:47:16Z","doi":"10.2514/1.c037632.c1","addedAt":"2026-08-31T06:39:37.594Z","updatedAt":"2026-08-31T06:39:37.594Z"},{"id":"doi:10.1115/gt2024-122647","name":"Impact of Various Intake Configurations on the Flight Mission Performance of an Unmanned Aircraft","source":"crossref","abstract":"Abstract Well-defined intake-engine interfaces are of great importance in the aircraft design process. The focus of this paper is on various coefficients for data transfer at the aerodynamic interface plane (AIP) as a critical interface between the engine and the aircraft. To evaluate these coefficients, different intake geometries are modeled and simulated. The objective of the study is to provide a holistic view of the interactions between flight conditions, aircraft, intake systems and their effects on engine performance using previously generated computational fluid dynamics (CFD) results which are further used in the engine mission simulation system (EMSS). The effects of intake distortion on compressor behavior and engine performance are investigated using the parallel compressor model. All results of the investigation are obtained via the time-resolved simulation of an exemplary flight mission. The results first discuss the influence of flight conditions on the total pressure loss of each inlet and the corresponding behavior of the investigated distortion parameters. It is shown that not only the inlet geometry but also the coefficient used to represent the distortions in the performance calculation has an influence on the mission performance. Finally, it is shown that depending on the coefficient used to map the inlet distortion, there is a clear difference in the operating behavior of the compressor. The proposed γ coefficient predicts a critical approach to the surge margin. The DC60 would still suggest a safe operation of the compressor.","url":"https://doi.org/10.1115/gt2024-122647","authors":["Jonas Remiger","Andreas Grois","Marcel Stößel","Dragan Kožulović","Michael Krummenauer"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-08-28T19:29:21Z","doi":"10.1115/gt2024-122647","addedAt":"2026-08-31T06:39:37.594Z","updatedAt":"2026-08-31T06:39:37.594Z"},{"id":"doi:10.1002/9781394230648.index","name":"Index","source":"crossref","abstract":"","url":"https://doi.org/10.1002/9781394230648.index","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-12-13T21:31:12Z","doi":"10.1002/9781394230648.index","addedAt":"2026-08-31T06:39:37.594Z","updatedAt":"2026-08-31T06:39:37.594Z"},{"id":"doi:10.1016/b978-0-323-95318-4.00005-7","name":"High-speed machining of aluminum alloys for aircraft structures","source":"crossref","abstract":"","url":"https://doi.org/10.1016/b978-0-323-95318-4.00005-7","authors":["Jorge Salguero","Moises Batista","Irene del Sol","Juan Manuel Vazquez"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-01-21T06:26:56Z","doi":"10.1016/b978-0-323-95318-4.00005-7","addedAt":"2026-08-31T06:39:37.594Z","updatedAt":"2026-08-31T06:39:37.594Z"},{"id":"doi:10.1016/b978-0-323-95318-4.00003-3","name":"Laser welding of polymer and fiber-reinforced composites for aircraft","source":"crossref","abstract":"","url":"https://doi.org/10.1016/b978-0-323-95318-4.00003-3","authors":["Fábio A.O. Fernandes","Cristiano L. Alves","António B. Pereira"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-01-21T06:27:01Z","doi":"10.1016/b978-0-323-95318-4.00003-3","addedAt":"2026-08-31T06:39:37.594Z","updatedAt":"2026-08-31T06:39:37.594Z"},{"id":"doi:10.36227/techrxiv.21778991","name":"eVTOL mass variation with powertrain configurations and energy mix: to gear or not to gear","source":"crossref","abstract":"&lt;p&gt;This article provides key insights in motorization design choice for electric vehicles. As an emerging technology, EVs come with direct drive or geared configurations. As an even younger technology in the aerospace field, propulsive electric motorization is a key enabler to a closer to zero carbon economy. This technical article provides break-even points and knowledge on why and when using a high speed strategy and compares 2 very different energy mixes: Hybrid-electric and All-electric. The presented technique allows to save powertrain mass, and help proliferation of these technologies. &lt;/p&gt;","url":"https://doi.org/10.36227/techrxiv.21778991","authors":["Jerome GREGOIRE"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-04-12T17:25:39Z","doi":"10.36227/techrxiv.21778991","addedAt":"2026-08-31T06:39:37.594Z","updatedAt":"2026-08-31T06:39:39.325Z"},{"id":"doi:10.25144/18879","name":"THE ENVIRONMENTAL NOISE IMPACT OF LIGHT AIRCRAFT: A METHOD FOR COMPARING DIFFERENT LIGHT AIRCRAFT TYPES","source":"crossref","abstract":"","url":"https://doi.org/10.25144/18879","authors":["RJ WESTON","D HUMPHESON"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-03-28T14:09:38Z","doi":"10.25144/18879","addedAt":"2026-08-31T06:39:37.594Z","updatedAt":"2026-08-31T06:39:37.594Z"},{"id":"doi:10.1007/s11085-024-10304-4","name":"Hot Corrosion Behaviour by Na2SO4 Deposits of the 1st Generation AM1 Single-Crystal Nickel-Based Superalloy at 750 °C","source":"crossref","abstract":"","url":"https://doi.org/10.1007/s11085-024-10304-4","authors":["D. Piel","A. Martin","E. Drouelle","J. Cormier","F. Pedraza"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-09-19T09:02:54Z","doi":"10.1007/s11085-024-10304-4","addedAt":"2026-08-31T06:39:37.594Z","updatedAt":"2026-08-31T06:39:37.594Z"},{"id":"doi:10.1590/jatm.v16.1342","name":"Method for Defining the Automation Level of an eVTOL","source":"crossref","abstract":"","url":"https://doi.org/10.1590/jatm.v16.1342","authors":["Sarah Francisca de Souza Borges","Moacyr Machado Cardoso Junior","Diogo Silva Castilho"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-09-23T12:36:14Z","doi":"10.1590/jatm.v16.1342","addedAt":"2026-08-31T06:39:37.594Z","updatedAt":"2026-08-31T06:39:37.594Z"},{"id":"doi:10.1115/gt2024-121815","name":"Innovative Synergies in Aircraft Propulsion: the Concept of Hybrid Power Systems With Contra-Rotating Propellers","source":"crossref","abstract":"Abstract In an era characterized by escalating emphasis on fuel economy and the mitigation of greenhouse gas emissions within the aerospace industry, this paper presents an innovative paradigm including the hybrid electric engine with contra-rotating propellers. This article unveils a pioneering technological achievement, exemplified by our patented invention registered under the identifier IB/2021/060538, which received a gold medal at the ICAN 2022 International Invention competition in Toronto, Canada, represents a noteworthy advancement in the domain of hybrid engine technology. It is imperative to acknowledge that the concept is currently in the conceptual design phase, necessitating further refinement to attain its maximum potential. The engine, characterized as a contra-rotating propeller system, engenders an efficiency gain ranging from 6% to 16% relative to single-fuel engines, with one internal combustion engine providing half of the required power and the electric motor complementing the remaining share. This innovative system comprises two distinct configurations: a system with two electric motors and one fuel engine in which one of the electric engines is used as a backup engine. In case of user preference or fuel engine failure, the backup electric is engaged in place of the fuel engine. This paradigm-shifting innovation effectively changes the conventional internal combustion engine into a multi-engine anti-torque system, facilitating augmented thrust generation while simultaneously reducing fuel consumption by an impressive margin of 40% to 60% when compared with conventional engine models. Beyond its commendable fuel efficiency, the hybrid engine is characterized by a satisfactory level of reliability. This is related to the inclusion of a backup electric motor. In addition to the internal combustion engine, supporting the system with the ability to manage system failures and maintain power output even under emergency circumstances. Notably, the fundamental concept of the contra-rotating propeller system is not entirely novel, however, our innovative approach harmoniously synchronizes two electric motors, thereby containing the advantages inherent in the contra-rotating system with the reliability attributed to electric propulsion.","url":"https://doi.org/10.1115/gt2024-121815","authors":["Majid Hazeri","Mohsen Moradkhani","Javad Rashid Jafari","Davood Asadi"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-08-28T19:30:45Z","doi":"10.1115/gt2024-121815","addedAt":"2026-08-31T06:39:37.594Z","updatedAt":"2026-08-31T06:39:37.594Z"},{"id":"doi:10.1109/icuas60882.2024.10557092","name":"Robust IR-Based Pose Estimation for Precision VTOL Aircraft Landing in Urban Environments","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icuas60882.2024.10557092","authors":["David Akagi","Tim McLain","Joshua Mangelson"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-06-19T17:22:59Z","doi":"10.1109/icuas60882.2024.10557092","addedAt":"2026-08-31T06:39:37.594Z","updatedAt":"2026-08-31T06:39:37.594Z"},{"id":"doi:10.65102/is2026232","name":"Research on the coupling mechanism of trajectory planning and task allocation for eVTOL multi-aircraft cooperative emergency distribution under low-altitude economic scenario","source":"crossref","abstract":"Aiming at the problem of trajectory planning and task allocation for eVTOL multi-aircraft cooperative emergency delivery in low-altitude economic scenarios, a two-layer planning model nested in each other is proposed. The upper layer model makes task allocation decisions at the macro level, and is modeled with the objective function of minimizing the total delivery time, and two solution algorithms are designed based on the ant colony algorithm according to two commonly used task allocation ideas. In the lower level, the objective is to minimize the total cost of multi-UAVs to perform the mission, establish the spatio-temporal coordination mechanism, and introduce the quantum genetic algorithm to solve the eVTOL multi-UAV trajectory planning by combining with the task allocation decision of the upper level model. Finally, simulation analysis is carried out, and the results show that the paths planned by this paper's method are shortened by at least 6.4% compared with the GWO model. Compared with the traditional genetic algorithm, the average value of the total cost of synergy of the quantum genetic algorithm used is optimized by 1.66%. In the planning environment of this paper, the algorithm solution efficiency and quality are optimal when the cost weights of each sub-objective are 0.45 and 0.65, respectively, and the population size is 200.","url":"https://doi.org/10.65102/is2026232","authors":["Hongyu Jia"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-05-04T08:10:45Z","doi":"10.65102/is2026232","addedAt":"2026-08-31T06:39:37.594Z","updatedAt":"2026-08-31T06:39:39.325Z"},{"id":"doi:10.1115/gt2024-125821","name":"Development of a Modular Engine Performance Calculation Tool for Prediction of Conventional and Hybrid-Electric Aircraft Engines","source":"crossref","abstract":"Abstract Reducing climate-damaging emissions is a key objective of today’s aviation industry. Suitable approaches include emission-optimized flight profiles and the use of hybrid-electric propulsion technologies. In order to quickly identify and quantify their potential, powerful 0D engine models are needed to calculate the performance of conventional thermal and hybrid-electric propulsion systems at the design point and in off-design conditions. This paper presents the model Maple (“Modular Aircraft Engine Performance for Sustainable Aviation”) for such performance calculation, emission and mass estimation. Special emphasis is laid on a flexible, modular design, so that the framework can be extended by new configurations and additional components, e.g. electric subsystems or heat exchangers. Established turbojet, turbofan, and turboprop configurations as well as various (hybrid-)electric configurations are implemented. Validation against an established commercial reference shows deviations well below one percent. For the analysis along entire flight missions, off-design operating points are computed quasi-steadily depending on atmospheric boundary conditions and thrust requirements. The latter are determined using the open source tool OpenAP. Thereby, the influence of additional mass due to more sophisticated engine configurations is taken into account. To illustrate the capabilities of the performance tool, it is used to compare and discuss the performance of a conventional turbofan engine and a parallel hybrid-electric engine by calculating two exemplary flight missions with two battery technology assumptions. The benefits and challenges of using hybrid-electric engines are highlighted. These include the need for careful matching of conventional and electric components, gas turbine retrofit, and advanced thermal management. Overall, the strengths of the developed tool are demonstrated. The modular structure and easy adaptability are ideal for the efficient design and calculation of state-of-the-art and future aircraft engines. The tool allows estimating their impact on flight mission fuel consumption and emissions, and thus on the climate.","url":"https://doi.org/10.1115/gt2024-125821","authors":["Marcus Wiegand","Lukas Schuchard","Tony Krüger","Ronald Mailach"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-08-28T19:31:02Z","doi":"10.1115/gt2024-125821","addedAt":"2026-08-31T06:39:37.594Z","updatedAt":"2026-08-31T06:39:37.594Z"},{"id":"doi:10.1007/978-981-97-1654-8_6","name":"Active Fault-Tolerant Control Strategy of Large Civil Aircraft Under Elevator Failures","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-981-97-1654-8_6","authors":["Xingjian Wang","Yuwei Zhang","Shaoping Wang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-04-08T12:01:41Z","doi":"10.1007/978-981-97-1654-8_6","addedAt":"2026-08-31T06:39:37.594Z","updatedAt":"2026-08-31T06:39:37.594Z"},{"id":"doi:10.1002/9781394230648.ch11","name":"Enhancing Security for Unmanned Aircraft Systems in IoT Environments","source":"crossref","abstract":"","url":"https://doi.org/10.1002/9781394230648.ch11","authors":["C.V. Suresh Babu","Abhinaba Pal"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-12-13T21:31:12Z","doi":"10.1002/9781394230648.ch11","addedAt":"2026-08-31T06:39:37.594Z","updatedAt":"2026-08-31T06:39:37.594Z"},{"id":"doi:10.2514/6.2024-1602","name":"State of the Art Digital Accountable and Customizable Aircraft Transit Inspection/Line Maintenance Toolbox for Enhancing the Aircraft Safety","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2024-1602","authors":["Manoj K. Paidisetty","Sanjay Singh","VR Sanal Kumar"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-01-29T22:03:51Z","doi":"10.2514/6.2024-1602","addedAt":"2026-08-31T06:39:37.594Z","updatedAt":"2026-08-31T06:39:37.594Z"},{"id":"doi:10.5139/jksas.2026.54.4.421","name":"Performance, Vibration, and BVI Noise Analyses of eVTOL Tiltrotor With Sweepback Angles","source":"crossref","abstract":"","url":"https://doi.org/10.5139/jksas.2026.54.4.421","authors":["Seok-Jung Oh","Hyeok-Jin Son","Jaeheon Jeong","Jae-Sang Park","Myeong-Kyu Lee"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-04-03T00:22:51Z","doi":"10.5139/jksas.2026.54.4.421","addedAt":"2026-08-31T06:39:37.594Z","updatedAt":"2026-08-31T06:39:39.325Z"},{"id":"doi:10.2514/5.9781624107252.0085.0164","name":"Aircraft Performance","source":"crossref","abstract":"","url":"https://doi.org/10.2514/5.9781624107252.0085.0164","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-11-08T15:21:33Z","doi":"10.2514/5.9781624107252.0085.0164","addedAt":"2026-08-31T06:39:37.594Z","updatedAt":"2026-08-31T06:39:37.594Z"},{"id":"doi:10.2514/6.2024-4249","name":"Analyzing the Potential of Dynamic Aircraft Wake Separation via Data-Driven Aircraft Wake Region Detection","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2024-4249","authors":["Nana Chu","Kam K.H. Ng","Ye Liu","Kai Kwong Hon"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-09-20T08:30:37Z","doi":"10.2514/6.2024-4249","addedAt":"2026-08-31T06:39:37.594Z","updatedAt":"2026-08-31T06:39:37.594Z"},{"id":"doi:10.2514/1.c037332","name":"Assessment of an Open-Source Aircraft Noise Prediction Model Using Approach Phase Measurements","source":"crossref","abstract":"An open-source simulation model for aircraft noise prediction is presented and validated using backpropagated noise measurements for a state-of-the-art engine and aircraft. The validation is focused on approach procedures and was performed using ground-based noise measurements that were taken at 17 recording stations for a total of 18 consecutive flights carried out during the morning of 8 April 2021. The flights were performed using two A321neo aircraft with LEAP-1A engines. It is demonstrated that the presented noise model provides a satisfactory estimation of the source noise for varying approach configurations and flight conditions. Configurations using a greater number of high-lift devices are particularly well predicted in the mid- and high-frequency regions, whereas the lower configuration settings show greater spectral deviations, which are partly attributed to measurement uncertainties caused by the increased aircraft–microphone distance. The model can predict the overall mean total sound intensity level within a 2 dB accuracy for all configurations, while the average predicted level at each microphone differs by less than 3 dB from the measurement average, for all cases except one. Variation in aircraft speed showed to have a strong impact on the predicted total noise, which matches the well-recognized sixth-power Mach number far-field sound intensity scaling law for airframe noise models, while the measurements indicated a less significant dependency. This is mainly due to installation effects and noise reduction measures that are not included in the models. Nevertheless, the variations in the spectra of the predicted and measured noise showed similar patterns.","url":"https://doi.org/10.2514/1.c037332","authors":["Evangelia Maria Thoma","Tomas Grönstedt","Evelyn Otero Sola","Xin Zhao"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-11-08T07:38:40Z","doi":"10.2514/1.c037332","addedAt":"2026-08-31T06:39:37.594Z","updatedAt":"2026-08-31T06:39:37.594Z"},{"id":"doi:10.2478/fas-2024-0006","name":"Fatigue Life Estimation of the Critical Wing Structure in a New-Generation Stol Aircraft","source":"crossref","abstract":"Abstract The lower wing section of an aircraft is considered particularly vulnerable to fatigue failure due to the presence of inspection holes, which create stress concentrations and increase local stress in the surrounding material. This study estimates the fatigue life of the lower wing structure, including rivet holes around the inspection openings, in a new-generation Indonesian short takeoff and landing (STOL) aircraft under cyclic flight loads. Fatigue assessment was conducted in five stages: (1) development of a 3D design model of the lower wing skin; (2) stress analysis of the skin without rivet holes, using finite element analysis (FEA), to identify critical areas around the inspection hole; (3) stress analysis of the skin with rivet holes in these critical areas; (4) compilation of a stress spectrum from flight test data; and (5) fatigue life estimation using the cumulative damage method with the application of a scatter factor. The analysis results indicate a maximum fatigue life of 67,750 flight cycles for rivet holes in the lower wing skin, exceeding the industry target of 30,000 cycles. However, when a scatter factor is applied, the maximum fatigue life is reduced to 13,550 flight cycles, establishing the required inspection threshold for the STOL aircraft.","url":"https://doi.org/10.2478/fas-2024-0006","authors":["Rando Tungga Dewa","M. Ircham Atami","Anang Setiawan","Fattah Maulana","Wafiqni"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-10-15T17:05:32Z","doi":"10.2478/fas-2024-0006","addedAt":"2026-08-31T06:39:37.594Z","updatedAt":"2026-08-31T06:39:37.594Z"},{"id":"doi:10.21495/em2026-69","name":"Software Simulation Options for eVTOL Tiltwing Configurations","source":"crossref","abstract":"","url":"https://doi.org/10.21495/em2026-69","authors":["O. Kukla"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-05-13T08:08:20Z","doi":"10.21495/em2026-69","addedAt":"2026-08-31T06:39:37.594Z","updatedAt":"2026-08-31T06:39:39.325Z"},{"id":"doi:10.2478/fas-2024-0007","name":"Optimizing Inspection Intervals Through Risk Evaluation in Aircraft Structures","source":"crossref","abstract":"Abstract As aircraft fleets age, maintaining operational readiness at an affordable cost becomes increasingly challenging. This is largely due to the rise in Preventive Maintenance Task Requirements (PMTRs) outlined in the Aircraft Maintenance Program (AMP). While aging aircraft may require more frequent inspections, leveraging data from prior inspections enables the optimization of inspection intervals based on risk, ensuring cost efficiency by minimizing unnecessary downtime, while maintaining the required safety level. The primary objective of the AMP is to ensure the airworthiness and operational readiness of an aircraft system throughout their service life. To achieve this, it is essential to establish an acceptable level of risk as a basis for determining optimal PMTR recurrence. The SMART|DT tool, developed with FAA funding, provides a robust framework for conducting risk assessments of aircraft structures using Probabilistic Damage Tolerance Analysis (PDTA), which effectively assesses and manages the risk of structural failure. During the sustainment phase of the Swiss Air Force F/A 18 fleet, data-driven analyses within SMART|DT, and other tailored statistical tools, were performed to evaluate the risks associated with various PMTR intervals. This paper will explain the methodology applied to both Safe-Life and Damage-Tolerance structures, with real-world applications to demonstrate how inspection intervals can be optimized. By doing so, PMTR recurrence can be fine-tuned to enhance aircraft readiness and program affordability while maintaining an acceptable level of safety.","url":"https://doi.org/10.2478/fas-2024-0007","authors":["Michea Ferrari","Juan D. Ocampo","Samson Taylor","Viola Ferrari","Dimitri Wahlen","Mattia Lüchinger","Mirco Figliolino"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-07-07T12:01:31Z","doi":"10.2478/fas-2024-0007","addedAt":"2026-08-31T06:39:37.594Z","updatedAt":"2026-08-31T06:39:37.594Z"},{"id":"doi:10.1016/b978-0-443-15373-0.06001-7","name":"Foreword by C. Jeffrey Knittel","source":"crossref","abstract":"","url":"https://doi.org/10.1016/b978-0-443-15373-0.06001-7","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-07-19T05:56:12Z","doi":"10.1016/b978-0-443-15373-0.06001-7","addedAt":"2026-08-31T06:39:37.594Z","updatedAt":"2026-08-31T06:39:37.594Z"},{"id":"doi:10.5281/zenodo.18610813","name":"Dataset for Reliability-Based Design Optimization of a Long-Range eVTOL Aircraft under Uncertain Mission Parameters","source":"openalex","abstract":"This dataset contains all code and optimization algorithms used in the following publication: Damien M. Keijzer, Saullo G. P. Castro. \"Reliability-Based Design Optimization of a Long-Range eVTOL Aircraft under Uncertain Mission Parameters\". Preprint, 2026.","url":"https://doi.org/10.5281/zenodo.18610813","authors":["Damien Keijzer","Beyne, E.","Buszek, M.","Cuadrat-Grzybowski, M.","López, N. S.","Alba-Maestre, J.","Poliakov, N.","Prud'homme van Reine, K.","Santamaría, A. M.","Schoser, J.","Wadia, K.","G. P. Castro, Saullo"],"tags":["Computer science","Code (set theory)","Robust optimization","Optimization problem","Engineering"],"confidence":0.72,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.18610813","addedAt":"2026-08-31T06:39:37.633Z","updatedAt":"2026-08-31T14:45:35.251Z"},{"id":"doi:10.48550/arxiv.2602.03256","name":"Impact of Physics-Informed Features on Neural Network Complexity for Li-ion Battery Voltage Prediction in Electric Vertical Takeoff and Landing Aircrafts","source":"datacite","abstract":"The electrification of vertical takeoff and landing aircraft demands high-fidelity battery management systems capable of predicting voltage response under aggressive power dynamics. While data-driven models offer high accuracy, they often require complex architectures and extensive training data. Conversely, equivalent circuit models (ECMs), such as the second-order model, offer physical interpretability but struggle with high C-rate non-linearities. This paper investigates the impact of integrating physics-based information into data-driven surrogate models. Specifically, we evaluate whether physics-informed features allow for the simplification of neural network architectures without compromising accuracy. Using the open-source electric vertical takeoff and landing (eVTOL) battery dataset, we compare pure data-driven models against physics-informed data models. Results demonstrate that physics-informed models achieve comparable accuracy to complex pure data-driven models while using up to 75% fewer trainable parameters, significantly reducing computational overhead for potential on-board deployment.","url":"https://doi.org/10.48550/arxiv.2602.03256","authors":["Ipek, Eymen","Hirz, Mario"],"tags":["Systems and Control (eess.SY)","FOS: Electrical engineering, electronic engineering, information engineering","FOS: Electrical engineering, electronic engineering, information engineering"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.48550/arxiv.2602.03256","addedAt":"2026-08-31T06:39:37.633Z","updatedAt":"2026-08-31T06:39:37.633Z"},{"id":"doi:10.5281/zenodo.18336075","name":"Preliminary Design and Performance Assessment of Electric VTOL Blended Wing Body Aircraft","source":"datacite","abstract":"Aeronautics researchers have been seeking the solution for sustainable aviation for a long time and the research and development of electric Vertical Take Off and Landing (eVTOL) aircrafts to facilitate the Urban Air Mobility (UAM) and Regional Air Mobility (RAM) markets have gained a lot of interest recently with the improvement in battery technology. Similarly, parallel research has been going on the design of Blended Wing Body (BWB) aircraft for long haul markets. But the research on the integration of BWB concept with eVTOL capability for lower subsonic speed is lacking. Thus, this research is initiated to develop a conceptual design framework for eVTOL BWB aircraft configuration and to conduct the preliminary performance evaluation to determine its feasibility for UAM and RAM market. For this 6-seater aircraft with range capacity of 250 KM+ is designed. Market analysis and design studies is conducted to set the general requirements of the aircraft suited for the market. Similarly, the existing mathematical models for hovercrafts and fixed wing aircrafts are modified for performance assessment of the intended design. In this research, initial criteria and mathematical framework is developed and evaluated and preliminary assessment of aerodynamic performance of the aircraft is estimated using computational fluid dynamic tools.","url":"https://doi.org/10.5281/zenodo.18336075","authors":["Deepak Poudel","Bijay Pal"],"tags":["Blended Wing Body; eVTOL; Regional Air Mobility; electric propulsion; aerodynamic assessment"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2023","doi":"10.5281/zenodo.18336075","addedAt":"2026-08-31T06:39:37.633Z","updatedAt":"2026-08-31T06:39:37.633Z"},{"id":"doi:10.5281/zenodo.18336074","name":"Preliminary Design and Performance Assessment of Electric VTOL Blended Wing Body Aircraft","source":"datacite","abstract":"Aeronautics researchers have been seeking the solution for sustainable aviation for a long time and the research and development of electric Vertical Take Off and Landing (eVTOL) aircrafts to facilitate the Urban Air Mobility (UAM) and Regional Air Mobility (RAM) markets have gained a lot of interest recently with the improvement in battery technology. Similarly, parallel research has been going on the design of Blended Wing Body (BWB) aircraft for long haul markets. But the research on the integration of BWB concept with eVTOL capability for lower subsonic speed is lacking. Thus, this research is initiated to develop a conceptual design framework for eVTOL BWB aircraft configuration and to conduct the preliminary performance evaluation to determine its feasibility for UAM and RAM market. For this 6-seater aircraft with range capacity of 250 KM+ is designed. Market analysis and design studies is conducted to set the general requirements of the aircraft suited for the market. Similarly, the existing mathematical models for hovercrafts and fixed wing aircrafts are modified for performance assessment of the intended design. In this research, initial criteria and mathematical framework is developed and evaluated and preliminary assessment of aerodynamic performance of the aircraft is estimated using computational fluid dynamic tools.","url":"https://doi.org/10.5281/zenodo.18336074","authors":["Deepak Poudel","Bijay Pal"],"tags":["Blended Wing Body; eVTOL; Regional Air Mobility; electric propulsion; aerodynamic assessment"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2023","doi":"10.5281/zenodo.18336074","addedAt":"2026-08-31T06:39:37.633Z","updatedAt":"2026-08-31T06:39:37.633Z"},{"id":"doi:10.48550/arxiv.2601.14415","name":"A Survey of Security Challenges and Solutions for Advanced Air Mobility and eVTOL Aircraft","source":"openalex","abstract":"This survey reviews the existing and envisioned security vulnerabilities and defense mechanisms relevant to Advanced Air Mobility (AAM) systems, with a focus on electric vertical takeoff and landing (eVTOL) aircraft. Drawing from vulnerabilities in the avionics in commercial aviation and the automated unmanned aerial systems (UAS), the paper presents a taxonomy of attacks, analyzes mitigation strategies, and proposes a secure system architecture tailored to the future AAM ecosystem. The paper also highlights key threat vectors, including Global Positioning System (GPS) jamming/spoofing, ATC radio frequency misuse, attacks on TCAS and ADS-B, possible backdoor via Electronic Flight Bag (EFB), new vulnerabilities introduced by aircraft automation and connectivity, and risks from flight management system (FMS) software, database and cloud services. Finally, this paper describes emerging defense techniques against these attacks, and open technical problems to address toward better defense mechanisms.","url":"https://doi.org/10.48550/arxiv.2601.14415","authors":["Ghazanfari, Mahyar","Sharifi, Iman","Wei, Peng","Dahle, Noah","Gonzalez, Abel Diaz","Coursey, Austin","Bjorkman, Bryce","Lemieux-Mack, Cailani","Canady, Robert","Taye, Abenezer","Ward, Bryan C.","Koutsoukos, Xenofon"],"tags":["Cryptography and Security (cs.CR)","FOS: Computer and information sciences","Avionics","Backdoor","Computer security","Air traffic management","Key (lock)"],"confidence":0.72,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.48550/arxiv.2601.14415","addedAt":"2026-08-31T06:39:37.633Z","updatedAt":"2026-08-31T14:45:35.251Z"},{"id":"doi:10.13140/rg.2.2.24629.54248/1","name":"Design of the fuselage of the eVTOL aircraft with T700S/JC-02A composite materials for emergency medical services","source":"datacite","abstract":"","url":"https://doi.org/10.13140/rg.2.2.24629.54248/1","authors":["Rodriguez, Renzo Hernan Guerrero"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.13140/rg.2.2.24629.54248/1","addedAt":"2026-08-31T06:39:37.633Z","updatedAt":"2026-08-31T06:39:37.633Z"},{"id":"doi:10.14459/2026md1796910","name":"Simulation-Based Optimization and Evaluation of Urban Air Mobility","source":"datacite","abstract":"Current mobility systems face increasing strain due to rapid urbanization and growing mobility demands, resulting in transportation bottlenecks, longer travel duration, and exacerbated ecological externalities. Urban Air Mobility (UAM), utilizing electric vertical takeoff and landing (eVTOL) aircraft operating in low-altitude airspace, addresses these limitations by leveraging underutilized vertical airspace and cleaner energy. However, UAM implementation faces substantial challenges in integrated system design, with current research predominantly focusing on isolated aspects examining either demand-side factors or supply-side considerations without adequate integration. This dissertation aims to develop comprehensive methods, algorithms, and frameworks to address these gaps through simulation-based optimization and evaluation approaches. An integrated methodological framework is constructed to consider the interdependence of essential components for UAM system design. User preference modeling, strategic infrastructure planning, and operational optimization under uncertainty are three prerequisites for successful UAM deployment. The dissertation contributes to these research domains across behavioral modeling methods, network planning methodologies, operational strategies, and empirical insights. In terms of user preference analysis, discrete choice models reveal significant heterogeneity in UAM acceptance patterns driven by complex interactions between service attributes, sociodemographic factors, and latent attitudinal constructs. Environmental awareness and price sensitivity serve as fundamental mediating factors, with shared UAM services offering substantial potential for reducing per-passenger costs while enhancing service acceptance and market accessibility beyond traditional high-income segments. The research demonstrates that UAM operators must develop differentiated service strategies rather than uniform approaches to capture diverse market segments effectively. To address demand uncertainty in UAM network design, the dissertation develops a sequential two-layer stochastic optimization framework that embeds discrete choice models within Monte Carlo simulations to generate demand endogenously from each network design strategy. This approach addresses real-world constraints where infrastructure decisions must precede demand realization, providing robust network planning methods for transportation agencies when high-quality passenger preference data is unavailable. Further, novel infrastructure planning approaches are developed through a multi-objective optimization framework that integrate real land use data, capacity constraints, cost considerations, and incremental deployment strategies. The multi-phased siting framework facilitates gradual evolution from initial eVTOL operations to advanced modular flying vehicles, demonstrating that strategic four-phased deployment yields approximately 13000 euros higher daily generalized travel cost savings. The framework identifies optimal infrastructure cost subsidy ranges of 20-40%, balancing performance gains with economic sustainability. To address operational optimization under demand uncertainty, the dissertation develops stochastic programming frameworks for UAM ride-pooling operations. The hybrid optimization approach combining NSGA-II with Targeted Ruin-and-Recreate local search algorithm demonstrates superior performance, achieving fleet size reductions of approximately 30% and flight distance savings of up to 40,000km. The framework successfully addresses critical limitations of existing deterministic approaches by ensuring operational strategies remain viable when confronted with heterogeneous passenger acceptance behaviors in real-world operations. The proposed integrated UAM system design framework incorporates innovative models, methodologies, and algorithms. We evaluated this framework through comprehensive experiments in large-scale real-world networks. The result","url":"https://doi.org/10.14459/2026md1796910","authors":["Wu, Hao"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.14459/2026md1796910","addedAt":"2026-08-31T06:39:37.633Z","updatedAt":"2026-08-31T06:39:37.633Z"},{"id":"doi:10.48550/arxiv.2512.24258","name":"Hovering efficiency optimization of the cycloidal propeller with end plates","source":"datacite","abstract":"Cycloidal propellers are known for their omnidirectional vectored thrust, enabling smooth transitions between hovering and forward flight, making them ideal for unmanned aerial vehicles (UAVs) and electric vertical take-off and landing (eVTOL) aircraft. However, cycloidal propellers tend to have lower hovering efficiency compared to screw propellers. Adding end plates to the blade tips can enhance hovering efficiency by reducing blade tip vortices. But the impact of these end plates and the optimal design for cycloidal propellers incorporating them have not been thoroughly studied. This paper seeks to optimize hovering efficiency and develop design theories for cycloidal propellers with end plates. Extensive force measurement experiments are conducted to identify designs with optimal hovering efficiency. The sliding mesh technique is employed to solve the unsteady Reynolds-averaged Navier-Stokes (URANS) equations for a detailed analysis. Experimental results indicate that the designs with end plates generally achieve significantly better hovering efficiency than those without end plates. End plates help to maintain hovering efficiency, even though the blade aspect ratio is as small as 1.5. The designs with stationary end plates are superior to those with rotating end plates because rotation introduces additional torque caused by the friction force. Designs featuring thick end plates outperform those with thin end plates, as the rounded edges can eliminate end plate vortices. The best design features stationary thick end plates, a chord-to-radius ratio of 0.65, and a large pitching amplitude of 40 degrees. It achieves a hovering efficiency of 0.72 with a blade aspect ratio of 3, which is comparable to that of helicopters. In contrast, for the cases without end plates, the highest hovering efficiency is merely 0.54.","url":"https://doi.org/10.48550/arxiv.2512.24258","authors":["Li, Han Zhen","Hu, Yu","Zhang, Lai","Sun, Hong Bo","Zhang, Xu Chao"],"tags":["Fluid Dynamics (physics.flu-dyn)","FOS: Physical sciences","FOS: Physical sciences"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.48550/arxiv.2512.24258","addedAt":"2026-08-31T06:39:37.633Z","updatedAt":"2026-08-31T06:39:37.633Z"},{"id":"doi:10.4231/2xts-m551","name":"Urban Air Mobility Vehicle Dataset","source":"datacite","abstract":"&lt;p&gt;A wide array of electric vertical takeoff and landing (eVTOL) vehicles are in various stages of development. The addition of these vehicles to the Urban Air Mobility (UAM) market would provide more options for short to medium distance aerial transportation, filling the niche that is currently occupied by helicopters. However, the costs and benefits of adopting these vehicles are reliant on many different factors related to both the aircraft and its operating environment.This paper compares 13 UAM vehicles (12 emerging eVTOL vehicles and one helicopter) using a Direct Operating Cost (DOC) model developed by the authors. With the computed DOC values for each vehicle, a computational framework determines, from a set of known passenger trips in the Chicago Metropolitan Area, the number of passenger trips that would use UAM as part of the total trip. These assessments use a specific network of aerodromes in the ChicagoMetropolitan Area using existing sites that could support UAM aircraft operations. From the results, we infer important vehicle characteristics and preferable vehicle configurations for the specific aerodrome network that lead to the highest number of passenger trips utilizing UAM.&lt;/p&gt;","url":"https://doi.org/10.4231/2xts-m551","authors":["Howard, Ryan","Wright, Ethan","Mudumba, Sai","Gunady, Nicholas I.","Sells, Brandon","Maheshwari, Apoorv","Delaurentis, Daniel","Crossley, William"],"tags":["mobility","aviation","Aeronautics and Astronautics Engineering","Economics","transportation","technology","urban air mobility","advanced air mobility"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2021","doi":"10.4231/2xts-m551","addedAt":"2026-08-31T06:39:37.633Z","updatedAt":"2026-08-31T06:39:37.633Z"},{"id":"doi:10.82417/ny06-dt05","name":"High-order direct numerical simulation of finite span wings","source":"datacite","abstract":"A wide range of modern aerodynamics applications, such as unmanned aerial vehicles (UAV) and electric vertical takeoff and landing (eVTOL) aircraft, require accurate aerodynamic predictions in transitional Reynolds number regimes. However, current industry-standard computational fluid dynamics (CFD) methodologies, specifically the Reynolds-averaged Navier Stokes (RANS) approach, fail to yield accurate results in this flow regime. To address this limitation, we are proposing the use of direct numerical simulation (DNS) in lieu of RANS for these applications. These DNS simulations will serve as a foundation for validating future studies on transitional Reynolds number regimes in the vicinity of Re = 10,000. In this presentation, we will showcase a series of high-order DNS simulations using the flux reconstruction method to analyze transitional and turbulent flow over finite-span NACA 0018 wings. The study examines angles of attack from 0° to 20° and span-to-chord ratios ranging from 1 to 4, simulated over 100 non-dimensional time units. A structured mesh was generated with appropriate Y+ values to ensure the resolution of all turbulent structures down to the Kolmogorov scale. The mesh extends 10 chord lengths in all directions from the airfoil's side view and 2 chord lengths from the wing tips, enabling accurate capture of wingtip vortices and downstream turbulent structures. Particular focus will be placed on analyzing turbulent transitions, resulting in turbulent flow structures, first and second-order turbulent statistics, aerodynamic forces, and surface flow characteristics. Several key physical phenomena in this flow regime will be examined in contrast to conventional aerodynamic configurations, including the generation of negative lift at low angles of attack, a nonlinear lift coefficient behavior, and the delayed onset of stall with increasing span-to-chord ratios.","url":"https://doi.org/10.82417/ny06-dt05","authors":["Rinaldi, Joseph-Raffael","Vermeire, Brian"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.82417/ny06-dt05","addedAt":"2026-08-31T06:39:37.633Z","updatedAt":"2026-08-31T06:39:37.633Z"},{"id":"doi:10.7302/25579","name":"The QuadPlane Small Uncrewed Aircraft System","source":"datacite","abstract":"Emerging Advanced Air Mobility (AAM) aircraft designs offer electric Vertical Take-Off and Landing (eVTOL) capability. Lift+Cruise configurations combine the efficiency of wing lift or \"cruise\" mode with a maneuverable vertical or “lift” mode for vertiport departure and approach. Small Uncrewed Aircraft Systems (sUAS) can also benefit from the maneuverability and endurance of Lift+Cruise designs for missions including surveillance and package delivery. Numerous AAM designs have been proposed, but industry aeropropulsion models are proprietary. This dissertation provides an open experimentally validated Lift+Cruise sUAS model and uses this model in defining energy efficient trajectories applicable to delivery, surveillance, and inspection applications. The first contribution of this dissertation is the QuadPlane sUAS, an easily manufactured and simple Lift+Cruise sUAS combining quadrotor and fixed-wing aircraft structural elements and control effectors. QuadPlane wind tunnel experiments were conducted over a wide range of angles of attack and airspeeds in each of three QuadPlane flight modes. QuadPlane propulsion modules were characterized in lab and wind tunnel tests. Full-envelope dynamic models are presented based on surface fits for the three QuadPlane flight modes. The second contribution is the development of multi-mode accelerated energy optimal traversal profiles between hover waypoint pairs with no wind and steady wind. A multi-variable optimization problem is formally defined and solved. Energy consumption over accelerated and cruise flight in each flight mode is modeled and analyzed to prove energy optimality of the proposed direct multi-mode traversal in zero wind. In steady wind, this thesis defines constraints under which direct traversal is possible given wind magnitude and direction and an assumption that the Lift+Cruise aircraft points into the wind at each hover waypoint to maximize stability. The QuadPlane model is used to demonstrate optimal traversal properties across trajectory segments of varied length and acceleration limits with and without ambient wind. The third contribution is definition and evaluation of an energy aware path planner and multi-mode guidance capability for Lift+Cruise sUAS with emphasis on sUAS coverage missions. Five eVTOL waypoint types are defined and used in an energy aware coverage flight planner that balances coverage and energy cost metrics in solutions that meet segment length and aircraft performance constraints. QuadPlane nonlinear simulation, guidance, and control solutions are developed based on experimentally derived aerodynamics and propulsion properties. A modified carrot guidance methodology with variable time horizon provides flexibility in prioritizing tracking accuracy or control robustness. Conventional aircraft and multicopter controllers are defined for Plane (cruise) and Quad (hover) modes, while a novel combination of both supports transition and sustained Hybrid mode flight offering flexibility in pitch angle within envelope constraints. QuadPlane flight simulations confirm accurate trajectory tracking and smooth transitions between flight modes. Energy aware coverage planner case studies examine coverage and energy cost metric trade-offs with sensitivity and Pareto analyses. This dissertation describes a novel Lift+Cruise sUAS design and experimental characterization. Innovations include formal definition of Lift+Cruise traversals between hover waypoints and definition of Lift+Cruise trajectories for energy aware coverage missions. The QuadPlane is one of the first open Lift+Cruise sUAS models. Energy optimal accelerated trajectories between hover waypoints provide a framework for future work to consider wind gusts, altitude change, and further refinement with optimal control.","url":"https://doi.org/10.7302/25579","authors":["Mathur, Akshay"],"tags":["Vertical Take-Off and Landing (VTOL)","Lift+Cruise","Advanced Air Mobility (AAM)","Uncrewed Aircraft Systems (UAS)","Energy Efficient Flight Planning","Aerodynamic Characterization, Modeling, Guidance and Control Simulation","Aerospace Engineering","FOS: Mechanical engineering"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.7302/25579","addedAt":"2026-08-31T06:39:37.633Z","updatedAt":"2026-08-31T06:39:37.633Z"},{"id":"doi:10.7302/32","name":"Optimization Studies for Aircraft Considering Propeller-Wing Interaction","source":"datacite","abstract":"Environmental concerns and advances in battery technology are currently fueling a widespread growth of interest in electric aircraft. Additionally, the fundamentally different nature of electric motors, compared to combustion engines, allows designers to experiment with unconventional aircraft configurations that would otherwise be impractical. Along with providing benefits related to emissions, procurement cost, and maintenance, electric motors allow distributing propulsion on an aircraft with greater ease compared to combustion engines, which further allows taking advantage of performance benefits through propulsion integration. To design aircraft that effectively take advantage of this increased design freedom requires the ability to answer some questions that have not been addressed in previous literature. Two such questions that this dissertation focuses on, with the common theme of propeller-wing interaction, are: What does the optimal takeoff trajectory for a tilt-wing electric vertical-takeoff-and-landing aircraft look like and how do various design and performance considerations, including those related to propeller-wing interaction and wing stall, affect it? Does optimizing a wing while considering propeller effects using computational fluid dynamics provide significant aerodynamic performance benefits? The first part of this dissertation explores the design space with takeoff in mind, and the second part explores the design space with cruise in mind. For the first part, simplified models for the aerodynamics, propulsion, propeller-wing flow interaction, and flight mechanics are used to carry out gradient-based optimization studies for the takeoff-to-cruise trajectory of a tandem tilt-wing eVTOL aircraft. Results for optimizations with and without stall and acceleration constraints, with varying levels of flow augmentation from propellers, are presented and show that the optimal takeoffs involve stalling the wings or flying near the stall angle of attack. However, the results also show that the energy penalty for avoiding stall is practically negligible. Additionally, without acceleration constraints, the optimized trajectories involve rapidly transitioning to forward flight and accelerating, followed by climbing at roughly constant speed, and then accelerating to the required cruise speed. With an acceleration constraint for passenger comfort, the transition, climb, and acceleration phases are more gradual and less distinct. Results showing the impact of wing size and available power on the optimized trajectories are also presented. For the second part, the cruise drag of a wing with a tractor propeller is minimized using aerodynamic shape optimization. Reynolds-averaged Navier--Stokes computational fluid dynamics with an actuator-disk approach is used for the simulations, and a gradient-based algorithm is used for the optimization. Changing the rotation direction of the propeller, changing the spanwise location of the propeller, and optimizing the twist and airfoil shapes of the wing impact the aerodynamic performance significantly. However, optimizing the wing while considering the propeller slipstream provides little additional benefit compared to optimizing it without considering the propeller slipstream (the difference is less than one drag count). The wings optimized without considering the propeller slipstream are naturally able to recover swirl almost as effectively as the wings optimized while considering the propeller slipstream, and the propeller-induced velocities for the cruise condition are not high enough to lead to significant airfoil-shape design changes. These conclusions are reached for both inboard-mounted and tip-mounted propellers. Additionally, a simple first-principles-based analytic expression for estimating propeller-induced tangential velocities is derived.","url":"https://doi.org/10.7302/32","authors":["Chauhan, Shamsheer Singh"],"tags":["Propeller-wing interaction","eVTOL","Trajectory optimization","Aerodynamic shape optimization","MDO","Aerospace Engineering","FOS: Mechanical engineering","Engineering"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2020","doi":"10.7302/32","addedAt":"2026-08-31T06:39:37.633Z","updatedAt":"2026-08-31T06:39:37.633Z"},{"id":"doi:10.48550/arxiv.2509.15559","name":"Numerical Study on Jet-Like Outwash Induced by Multi-Rotor eVTOLs and Engineering Approaches for Outwash Mitigation","source":"datacite","abstract":"This study presents a comprehensive computational investigation of outwash phenomena generated by electric vertical takeoff and landing (eVTOL) aircraft, with particular emphasis on how rotor geometry and alignment shape hazardous airflow patterns at vertiports. Using nondimensional Reynolds-averaged Navier-Stokes (RANS) simulations with the k-omega SST turbulence model implemented in OpenFOAM, the research systematically characterizes jet-like outwash across a range of multi-rotor configurations. Results demonstrate that propeller count and inter-propeller spacing are primary determinants of outwash intensity, orientation, propagation range, and boundary-layer structure. For power-lift eVTOLs, low propeller counts combined with narrow spacing produce highly directional, intensified jet-like outwash with propagation ranges far exceeding current FAA EB105a safety standards. Conversely, higher propeller counts and larger spacings reduce peak velocities and propagation distances, enabling safer and more compact vertiport layouts. High-propeller-count designs further exhibit vertically stratified and thickened outwash boundary layers, requiring tailored mitigation strategies. Targeted engineering solutions-such as modular blast deflectors aligned with predicted outwash directions-are shown to reduce required vertiport safety areas by up to 82% without compromising operational safety. These findings establish a direct link between aircraft design, regulatory compliance, and infrastructure optimization, offering practical pathways for safe and scalable urban air mobility. The study also provides a foundation for future research on optimal mitigation device geometries and system-level integration of eVTOL operations within urban environments.","url":"https://doi.org/10.48550/arxiv.2509.15559","authors":["Chen, Yen-Chen","Chueh, Chih-Che"],"tags":["Fluid Dynamics (physics.flu-dyn)","FOS: Physical sciences","FOS: Physical sciences"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.48550/arxiv.2509.15559","addedAt":"2026-08-31T06:39:37.633Z","updatedAt":"2026-08-31T06:39:37.633Z"},{"id":"doi:10.48550/arxiv.2511.19057","name":"LAA3D: A Benchmark of Detecting and Tracking Low-Altitude Aircraft in 3D Space","source":"datacite","abstract":"Perception of Low-Altitude Aircraft (LAA) in 3D space enables precise 3D object localization and behavior understanding. However, datasets tailored for 3D LAA perception remain scarce. To address this gap, we present LAA3D, a large-scale dataset designed to advance 3D detection and tracking of low-altitude aerial vehicles. LAA3D contains 15,000 real images and 600,000 synthetic frames, captured across diverse scenarios, including urban and suburban environments. It covers multiple aerial object categories, including electric Vertical Take-Off and Landing (eVTOL) aircraft, Micro Aerial Vehicles (MAVs), and Helicopters. Each instance is annotated with 3D bounding box, class label, and instance identity, supporting tasks such as 3D object detection, 3D multi-object tracking (MOT), and 6-DoF pose estimation. Besides, we establish the LAA3D Benchmark, integrating multiple tasks and methods with unified evaluation protocols for comparison. Furthermore, we propose MonoLAA, a monocular 3D detection baseline, achieving robust 3D localization from zoom cameras with varying focal lengths. Models pretrained on synthetic images transfer effectively to real-world data with fine-tuning, demonstrating strong sim-to-real generalization. Our LAA3D provides a comprehensive foundation for future research in low-altitude 3D object perception.","url":"https://doi.org/10.48550/arxiv.2511.19057","authors":["Wu, Hai","Tang, Shuai","Wang, Jiale","Zou, Longkun","Guo, Mingyue","Liang, Rongqin","Chen, Ke","Wang, Yaowei"],"tags":["Computer Vision and Pattern Recognition (cs.CV)","FOS: Computer and information sciences","FOS: Computer and information sciences"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.48550/arxiv.2511.19057","addedAt":"2026-08-31T06:39:37.633Z","updatedAt":"2026-08-31T06:39:37.633Z"},{"id":"doi:10.26271/opus-1870","name":"DESIGN AND ANALYSIS OF CFRP CRASH TUBES FOR ENERGY ABSORPTION IN eVTOLS","source":"datacite","abstract":"This study examines the design, analysis, and validation of carbon fibre-reinforced polymer (CFRP) crash tubes for energy absorption in electric vertical take-off and landing (eVTOL) aircraft seats, aiming to optimize configurations for enhanced passenger safety. It incorporates static and dynamic testing of various CFRP tubes with differing diameters and layer orientations. Static tests focused on force-displacement characteristics, deriving crucial design parameters such as peak and plateau loads, and energy absorption. Dynamic tests, performed with a drop tower, mimicked eVTOL crash scenarios to observe tube behavior under realistic conditions. Results indicated that increasing unidirectional layers and tube diameter improves load capacity and energy absorption. Conversely, changing weave orientation from 0°/90° to ±45° reduces energy absorption, underscoring the significance of layup configuration. These insights facilitated the refinement of tube specifications to meet safety goals. Additionally, a finite element model (FEM) developed using the Altair Radioss solver validated the experimental findings, accurately capturing crash behavior and supporting design iterations with reduced physical testing needs. This study confirms that tailored CFRP crash tubes can significantly enhance eVTOL crashworthiness, with combined experimental and simulation approaches offering a robust iterative methodology for optimizing aviation safety systems and reducing the need for extensive material characterization.","url":"https://doi.org/10.26271/opus-1870","authors":["Dimassi, Adli","Marciniak, Roland","Bachem, Harald","Dietrich, Jan"],"tags":["600 Technik"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.26271/opus-1870","addedAt":"2026-08-31T06:39:37.633Z","updatedAt":"2026-08-31T06:39:37.633Z"},{"id":"doi:10.25967/650057","name":"Development and Validation of an Additively Manufactured Tilt-Wing Actuator for a Subscale eVTOL Demonstrator","source":"datacite","abstract":"To support ongoing research into flight dynamics and control functions for (tandem) tilt-wing eVTOL aircraft, a subscale flight test demonstrator is being developed. Tilt-actuators are essential to achieve the tilt-wing’s key characteristics of VTOL capability and efficient wing-borne cruise flight. However, these actuators must provide sufficient torque and speed to navigate the challenging transition regimes between cruise and hover flight, involving high angles of attack and post-stall conditions, with these requirements remaining poorly quantified. Additionally, existing solutions leave room for improvements in terms of weight and hardware accessibility. This work develops and validates a high-performance tilt-actuator system to enable comprehensive flight testing across a wide range of dynamic transition maneuvers. The maximum torque loads and tilt speed requirements of the tilt-actuators are derived. A primarily additively manufactured tilt-actuator and gear system leveraging commercial RC servo motors is developed, optimized, and implemented. The optimization analyses reveal that helical polymer gears are 2.7 times lighter than conventional metal spur gear alternatives while significantly reducing the package size. Bench tests successfully validate the static strength, accuracy, and dynamic performance of the optimized system, meeting all derived requirements.","url":"https://doi.org/10.25967/650057","authors":["Ott, L.","May, M.","Milz, D."],"tags":["eVTOL Demonstrator","Additive Manufacturing","3D printing","Tilt-Actuator","Tilt-Wing","TANDEMIC","DLRK","2025"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.25967/650057","addedAt":"2026-08-31T06:39:37.633Z","updatedAt":"2026-08-31T06:39:37.633Z"},{"id":"doi:10.13140/rg.2.2.24570.98245","name":"SmartFly - deployment of Electric Vertical Take-Off and Landing (eVTOL) aircraft for passenger transport in Saxony, Germany.","source":"datacite","abstract":"","url":"https://doi.org/10.13140/rg.2.2.24570.98245","authors":["Bruehl, Robert","Fricke, Hartmut","Tober, Lisa Anna","Markmiller, Johannes","Walla, Norman","Mutz, Christian","Erfurt, Ronny","Dexl, Florian","Fraske, Tim","Medeiros, Rafael Milani","Noennig, Jörg Rainer"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2023","doi":"10.13140/rg.2.2.24570.98245","addedAt":"2026-08-31T06:39:37.633Z","updatedAt":"2026-08-31T06:39:37.633Z"},{"id":"doi:10.48550/arxiv.2510.09283","name":"Safety Analysis of eVTOL Operations based on STPA","source":"datacite","abstract":"Electric Vertical Take-Off and Landing (eVTOL) aircraft are expected to be quieter and more cost-effective than helicopters, offering major economic and social benefits through improved connectivity. Their adoption will require new ground infrastructure and airspace redesign, introducing risks involving multiple stakeholders (Regulators, eVTOL operators, Air navigation service providers, Vertiport operators, OEMs, Pilots, etc.). To assess these risks for the UK airspace, systems-thinking based System Theoretic Process Analysis (STPA) was conducted. To manage the large number of Unsafe Control Actions (UCAs) and requirements generated due to the complexity of the analysis, a novel extension to STPA for the prioritization of results was applied. 317 UCAs were identified in total out of which 110 high-priority UCAs were analyzed (Step-4), resulting in 377 causal factors and 432 requirements. These were prioritized to produce a targeted list of 124 distinct high-priority requirements, 56 of which were identified as gaps in existing aviation regulations, policies, or procedures.. These highlight opportunities for regulatory updates in areas such as organizational performance, certification processes, training, collision avoidance, energy management, and automation. The findings provide regulators with safety considerations that could shape new or updated regulations, compliance methods, and guidance materials for the safe deployment of eVTOLs.","url":"https://doi.org/10.48550/arxiv.2510.09283","authors":["Elizebeth, Mariat James","Chen, Shufeng","Badaoui, Halima El","Khastgir, Siddartha","Jennings, Paul"],"tags":["Systems and Control (eess.SY)","FOS: Electrical engineering, electronic engineering, information engineering","FOS: Electrical engineering, electronic engineering, information engineering"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.48550/arxiv.2510.09283","addedAt":"2026-08-31T06:39:37.633Z","updatedAt":"2026-08-31T06:39:37.633Z"},{"id":"doi:10.48550/arxiv.2504.18031","name":"Joint Resource Estimation and Trajectory Optimization for eVTOL-involved CR network: A Monte Carlo Tree Search-based Approach","source":"datacite","abstract":"Electric Vertical Take-Off and Landing (eVTOL) aircraft, pivotal to Advanced Air Mobility (AAM), are emerging as a transformative transportation paradigm with the potential to redefine urban and regional mobility. While these systems offer unprecedented efficiency in transporting people and goods, they rely heavily on computation capability, safety-critical operations such as real-time navigation, environmental sensing, and trajectory tracking--necessitating robust offboard computational support. A widely adopted solution involves offloading these tasks to terrestrial base stations (BSs) along the flight path. However, air-to-ground connectivity is often constrained by spectrum conflicts with terrestrial users, which poses a significant challenge to maintaining reliable task execution. Cognitive radio (CR) techniques offer promising capabilities for dynamic spectrum access, making them a natural fit for addressing this issue. Existing studies often overlook the time-varying nature of BS resources, such as spectrum availability and CPU cycles, which leads to inaccurate trajectory planning, suboptimal offloading success rates, excessive energy consumption, and operational delays. To address these challenges, we propose a trajectory optimization framework for eVTOL swarms that maximizes task offloading success probability while minimizing both energy consumption and resource competition (e.g., spectrum and CPU cycles) with primary terrestrial users. The proposed algorithm integrates a Multi-Armed Bandit (MAB) model to dynamically estimate BS resource availability and a Monte Carlo Tree Search (MCTS) algorithm to determine optimal offloading decisions, selecting both the BSs and access time windows that align with energy and temporal constraints.","url":"https://doi.org/10.48550/arxiv.2504.18031","authors":["Xiong, Kai","Yang, Chenxin","Qin, Yujie","Ma, Wanzhi","Yuen, Chau"],"tags":["Networking and Internet Architecture (cs.NI)","Signal Processing (eess.SP)","FOS: Computer and information sciences","FOS: Computer and information sciences","FOS: Electrical engineering, electronic engineering, information engineering","FOS: Electrical engineering, electronic engineering, information engineering"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.48550/arxiv.2504.18031","addedAt":"2026-08-31T06:39:37.633Z","updatedAt":"2026-08-31T06:39:37.633Z"},{"id":"doi:10.82439/ceas-ifasd-2024-208","name":"Experimental investigation into the dynamic characteristics of a tilting multirotor system","source":"datacite","abstract":"Urban Air Mobility (UAM) promises a transformative leap in urban transportation, with electric vertical take-off and landing (eVTOL) aircraft at the forefront. Pivotal in eVTOL flexibility, especially during transitional flight phases, are tilting rotors. However, these configurations pose challenges in maintaining dynamic stability and controlling vibration, leading to potential resonance issues during transition phases. This study aims to explore experimentally the dynamic interplay between modal characteristics of a tilting multirotor system with operational parameters such as tilt angle and rotational speed of propellers. The key focus is placed on understanding the system-wide implications induced due to changes in tilt angle and rotor speed. This research particularly focuses on how these operation parameters influence resonance, leading to shift in shifts in modal frequencies and damping variations, which are critical in the design and operation of tilting rotors. To scrutinise these characteristics, a dynamically scaled experimental rig is developed. This multirotor test rig facilitates investigations into how variations in rotor tilt angles and rotor speed impact the system’s modal characteristics, including natural frequencies, mode shapes, and damping characteristics. A special emphasis is placed on exploring resonance and its implications under different tilt scenarios and operational speeds. Experimental exploration revealed that natural frequencies decrease with an increase in rotor speed, particularly for higher modes. Whereas, increasing the tilt angle from 0◦ to 90◦ results in a substantial increase in frequency and a reduction in amplitude, especially in the first torsional mode. Furthermore, it is found that the system experiences strong resonance at 3120 RPM, where the second-out-plane bending mode is excited by the first rotor harmonics.","url":"https://doi.org/10.82439/ceas-ifasd-2024-208","authors":["Sharma, Tanuj","Rezgui, Djamel","Titurus, Branislav"],"tags":["FOS: Engineering and technology","eVTOL (Electric Vertical Take-Off and Landing), Experimental Modal Analysis (EMA), Finite Element Analysis (FEA), Rotorstructure interaction, Sequential Quadratic Programming (SQP)"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.82439/ceas-ifasd-2024-208","addedAt":"2026-08-31T06:39:37.633Z","updatedAt":"2026-08-31T06:39:37.633Z"},{"id":"doi:10.48550/arxiv.2508.17911","name":"Real World Assets on-Chain Assistance Low-Altitude Computility Networks: Architecture, Methodology, and Challenges","source":"datacite","abstract":"Low-altitude airspace is becoming a new frontier for smart city services and commerce. Networks of drones, electric Vertical Takeoff and Landing (eVTOL) vehicles, and other aircraft, termed Low-Altitude Economic Networks (LAENets), promise to transform urban logistics, aerial sensing, and communication. A key challenge is how to efficiently share and trust the computing utility, termed computility, of these aerial devices. We propose treating the computing power on aircraft as tokenized Real-World Assets (RWAs) that can be traded and orchestrated via blockchain. By representing distributed edge computing resources as blockchain tokens, disparate devices can form Low-Altitude Computility Networks (LACNets), collaborative computing clusters in the sky. We first compare blockchain technologies, non-fungible tokens (NFTs), and RWA frameworks to clarify how physical hardware and its computational output can be tokenized as assets. Then, we present an architecture using blockchain to integrate aircraft fleets into a secure, interoperable computing network. Furthermore, a case study models an urban logistics LACNet of delivery drones and air-taxis. Simulation results indicate improvements in task latency, trust assurance, and resource efficiency when leveraging RWA-based coordination. Finally, we discuss future research directions, including AI-driven orchestration, edge AI offloading and collaborative computing, and cross-jurisdictional policy for tokenized assets.","url":"https://doi.org/10.48550/arxiv.2508.17911","authors":["Luo, Haoxiang","Zhang, Ruichen","Liu, Yinqiu","Sun, Gang","Yu, Hongfang","Han, Zhu"],"tags":["Networking and Internet Architecture (cs.NI)","FOS: Computer and information sciences","FOS: Computer and information sciences"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.48550/arxiv.2508.17911","addedAt":"2026-08-31T06:39:37.633Z","updatedAt":"2026-08-31T06:39:37.633Z"},{"id":"doi:10.5281/zenodo.16557013","name":"Why UAM Needs Real-World Rotor Wake Data","source":"datacite","abstract":"This paper underscores the need for real-world measurements of rotor downwash, outwash, and trailing wakes generated by eVTOL aircraft. As these vehicles operate in low-altitude urban environments, their complex aerodynamic effects raise safety concerns not addressed by helicopter models. The paper presents recent findings and recommends full-scale field measurements using pulsed coherent lidar to support safe integration of eVTOLs into the airspace system.","url":"https://doi.org/10.5281/zenodo.16557013","authors":["Fantauzzi, Marco","AlHammadi, Talal","Jacob, Donald","Valente, Gianluca"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.16557013","addedAt":"2026-08-31T06:39:37.633Z","updatedAt":"2026-08-31T06:39:37.633Z"},{"id":"doi:10.5281/zenodo.16557012","name":"Why UAM Needs Real-World Rotor Wake Data","source":"datacite","abstract":"This paper underscores the need for real-world measurements of rotor downwash, outwash, and trailing wakes generated by eVTOL aircraft. As these vehicles operate in low-altitude urban environments, their complex aerodynamic effects raise safety concerns not addressed by helicopter models. The paper presents recent findings and recommends full-scale field measurements using pulsed coherent lidar to support safe integration of eVTOLs into the airspace system.","url":"https://doi.org/10.5281/zenodo.16557012","authors":["Fantauzzi, Marco","AlHammadi, Talal","Jacob, Donald","Valente, Gianluca"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.16557012","addedAt":"2026-08-31T06:39:37.633Z","updatedAt":"2026-08-31T06:39:37.633Z"},{"id":"doi:10.48550/arxiv.2507.19509","name":"Computing Longitudinal Dynamic Derivatives of a VTOL Aircraft Using CFD Simulations and Forced-Oscillation Model","source":"datacite","abstract":"This study presents a comprehensive evaluation of dynamic aerodynamic derivatives during aircraft transition phases using advanced CFD simulations and forced oscillation testing. Two case studies are examined: a three dimensional fighter aircraft (Standard Dynamic Model, SDM) and a UT24 eVTOL model. The transition phase from vertical hover to forward cruise is analyzed with harmonic oscillation techniques to capture unsteady aerodynamic forces and moments. Grid sensitivity studies and multi zone meshing strategies ensure simulation accuracy, while ANSYS Fluent finite volume solver and coupled pressure velocity algorithms provide high fidelity results. Dynamic derivatives are derived from variations in angle of attack, flight path, and rotational movements, with experimental and numerical data validating the approach. The findings offer valuable insights for robust control design and stability analysis, supporting future advancements in urban air mobility and aerospace engineering. Overall, this approach demonstrates substantial promise for optimizing aircraft performance during critical transition phases. These results pave the way for future innovations","url":"https://doi.org/10.48550/arxiv.2507.19509","authors":["Nezhad, Ali Khosravani","Kosari, AmirReza","Askari, Rasoul"],"tags":["Systems and Control (eess.SY)","FOS: Electrical engineering, electronic engineering, information engineering","FOS: Electrical engineering, electronic engineering, information engineering"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.48550/arxiv.2507.19509","addedAt":"2026-08-31T06:39:37.633Z","updatedAt":"2026-08-31T06:39:37.633Z"},{"id":"doi:10.82124/ceas-gnc-2024-081","name":"Nonlinear Control Strategy and Sensor Data Processing for a Lift-to-Cruise Aircraft","source":"datacite","abstract":"Aerial systems, including electric vertical take-off and landing (eVTOL) vehicles with fixed-wing configurations, present distinct challenges across various flight phases, encompassing hover and the transition to aerodynamic wingborne flight. Effectively addressing these challenges necessitates a robust control framework, prominently featured in the incremental nonlinear dynamic inversion (INDI) approach. However, INDI may encounter constraints like effector saturation and suboptimal pseudoinverses. This paper explores a spectrum of control allocation methods to effectively mitigate these limitations. Additionally, the paper delves into real-world complexities, including sensor noise and stochastic effects. It introduces filtering and estimation techniques to ensure precise data estimations. The proposed methodologies and algorithms undergo rigorous assessment through nonlinear simulations, encompassing comprehensive 6-DOF flight mechanics, realistic sensor models, and the presence of uncertainties. The simulation results underscore the efficacy and applicability of the proposed approaches in addressing the intricate challenges encountered in dynamically controlling eVTOL aircraft with fixed-wing configurations.","url":"https://doi.org/10.82124/ceas-gnc-2024-081","authors":["Surmann, Denis","Weinert, Maximilian","Myschik, Stephan"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.82124/ceas-gnc-2024-081","addedAt":"2026-08-31T06:39:37.633Z","updatedAt":"2026-08-31T06:39:37.633Z"},{"id":"doi:10.48550/arxiv.2507.15489","name":"Constrained Control Allocation With Continuous-Time Rate Constraints: Three-Dimensional Case","source":"datacite","abstract":"This paper presents a novel quadratic programming (QP) approach for constrained control allocation that directly incorporates continuous-time actuator rate constraints without requiring slack variables. Over-actuated aircraft configurations, particularly prevalent in eVTOL and military applications, require control allocation algorithms to distribute commanded control moments among available actuators while respecting position and rate constraints. Existing methods such as direct allocation, pseudo-inverse, cascaded generalized inverse, and exact redistributed pseudo-inverse either cannot handle rate constraints in continuous time or require discretization approaches that compromise performance. Current QP methods that incorporate rate constraints rely on slack variables to ensure feasibility, which prevents full utilization of the attainable moment set and degrades allocation performance. The proposed methodology addresses this limitation by calculating the attainable moment set from both position and rate constraints through convex hull operations, then ensuring feasibility by scaling unattainable commanded moments to the boundary of the attainable moment set while preserving their direction. This approach guarantees the feasibility of the optimization problem without slack variables. The method is validated through simulation on an F-18 fighter aircraft control allocation problem, demonstrating equivalent performance to the established exact redistributed pseudo-inverse method while providing smoother actuator behavior and enhanced constraint satisfaction. Results show that incorporating continuous-time rate constraints leads to improved actuator tracking, reduced overshoot, and more precise adherence to position limits, which is essential for aircraft safety, ride comfort, and actuator longevity.","url":"https://doi.org/10.48550/arxiv.2507.15489","authors":["Özkurt, Süleyman","Grimm, Adrian","Fichter, Walter"],"tags":["Optimization and Control (math.OC)","Systems and Control (eess.SY)","FOS: Mathematics","FOS: Mathematics","FOS: Electrical engineering, electronic engineering, information engineering","FOS: Electrical engineering, electronic engineering, information engineering"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.48550/arxiv.2507.15489","addedAt":"2026-08-31T06:39:37.633Z","updatedAt":"2026-08-31T06:39:37.633Z"},{"id":"doi:10.48321/d1tp8b","name":"Occupant Protection for Legacy Rotorcraft","source":"datacite","abstract":"Rotorcraft aviation has a high injury and fatality rate from what should be survivable crashes. Only 10% of the U.S. fleet are compliant with the latest regulations with respect to the Emergency Landing Dynamic Condition Rule (14 CFR 27/29.562). Regulators are looking to reduce the risk of blunt force trauma in crashes of rotorcraft that do not meet the latest safety certification level. Dynamic research tests are needed to fill the knowledge gap in order to advance the crash safety for the existing rotorcraft fleet. This data can assist rotorcraft and seat manufacturers in the design of retrofit seats and structures and help industry groups in developing a set of guidelines to reduce the risk of injury to occupants.The Federal Aviation Administration (FAA) will be conducting a series of dynamic tests at the Civil Aviation Medical Institute’s (CAMI) accelerator impact sled. The seat used in this test series will be the Reusable Energy Absorbing Lab Seat (REAL) developed by the Department of the Navy. The seat will be pitched back 30 degrees from vertical with zero degrees of roll and yaw. The REAL seat will evaluated at five seat stroke distances: 2, 4, 6, 8 and 10 inches. Three sled input pulses will be evaluated: 21, 25 and 30 feet per second. Each seat stroke and input pulse combination will be tested three times resulting in a total of 45 tests. Data will be collected by means of an instrumented 50th percentile FAA Hybrid III Anthropomorphic Test Device (ATD). Acceleration measurements on the ATD will be collected at the head, spine and pelvis. Forces on the ATD will be collected at the upper neck and lumbar. Moments will be evaluated at the upper neck and lumbar. The REAL seat will be instrumented to measure seat pan acceleration and seat pan displacement. One channel on the accelerator sled will collect the acceleration results to verify the input pulse. ATD and seat motion during the dynamic test will be collected with two high speed cameras positioned perpendicular to X-Z and Y-Z planes of the sled coordinate systems. Outputs from this test series is anticipated to aid manufacturers of rotorcraft and seats to develop seats for the existing fleet to reduce in blunt force trauma during an accident. This dataset could benefit the general aviation aircraft and Electrical Take Off and Landing (eVTOL) manufactures and designers.","url":"https://doi.org/10.48321/d1tp8b","authors":["Hellstrom, Ian"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.48321/d1tp8b","addedAt":"2026-08-31T06:39:37.633Z","updatedAt":"2026-08-31T06:39:37.633Z"},{"id":"doi:10.48550/arxiv.2507.06632","name":"Stacked Intelligent Metasurfaces-Aided eVTOL Delay Sensitive Communications","source":"datacite","abstract":"With rapid urbanization and increasing population density, urban traffic congestion has become a critical issue, and traditional ground transportation methods are no longer sufficient to address it effectively. To tackle this challenge, the concept of Advanced Air Mobility (AAM) has emerged, aiming to utilize low-altitude airspace to establish a three-dimensional transportation system. Among various components of the AAM system, electric vertical take-off and landing (eVTOL) aircraft plays a pivotal role due to their flexibility and efficiency. However, the immaturity of Ultra Reliable Low Latency Communication (URLLC) technologies poses significant challenges to safety-critical AAM operations. Specifically, existing Stacked Intelligent Metasurfaces (SIM)-based eVTOL systems lack rigorous mathematical frameworks to quantify probabilistic delay bounds under dynamic air traffic patterns, a prerequisite for collision avoidance and airspace management. To bridge this gap, we employ network calculus tools to derive the probabilistic upper bound on communication delay in the AAM system for the first time. Furthermore, we formulate a complex non-convex optimization problem that jointly minimizes the probabilistic delay bound and the propagation delay. To solve this problem efficiently, we propose a solution based on the Block Coordinate Descent (BCD) algorithm and Semidefinite Relaxation (SDR) method. In addition, we conduct a comprehensive analysis of how various factors impact regret and transmission rate, and explore the influence of varying load intensity and total delay on the probabilistic delay bound.","url":"https://doi.org/10.48550/arxiv.2507.06632","authors":["Chen, Liyuan","Xiong, Kai","Qin, Yujie","Yu, Hanqing","Leng, Supeng","Yuen, Chau"],"tags":["Networking and Internet Architecture (cs.NI)","FOS: Computer and information sciences","FOS: Computer and information sciences"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.48550/arxiv.2507.06632","addedAt":"2026-08-31T06:39:37.633Z","updatedAt":"2026-08-31T06:39:37.633Z"},{"id":"doi:10.48448/k1jb-z870","name":"JPL-07  Integrated Magnetics, Insulation and Cooling Architecture for Slotless Electric Machines","source":"datacite","abstract":"Electric vertical takeoff and landing (eVTOL) aircraft require compact, high power, high reliability electric motors and drives. Power demand on the electric propulsion system during take-off and landing can be up to 3-10x cruise power [1,2], and copper loss during these flight phases rises due to increased current density. As a result, the temperature in the conducting region can grow quickly to levels which may cause insulation failure. This paper presents an embedded cooling architecture that enhances heat transfer from the coils to the heatsink and prevents excessive temperatures [3]. The proposed machine topology is a slotless PMSM outrunner which achieves high electrical loading by extending the armature cross-section into area traditionally occupied by iron teeth [4, 5], making it suitable for the operating profiles of eVTOL aircraft. The slotless structure trades magnetic loading and associated iron loss for electrical loading and associated copper loss. To address the high loss concentration in the form-wound coils of a slotless stator, thin copper sheets are interleaved within the iron lamination stack to provide a thermal shunt from coils to heatsink. Additionally, a ceramic coil holder enhances both the side-wall thermal path and electrical insulation [6]. Figure 1 shows the cross-sectional configuration of one stator slot. Motor performance is gauged in terms of torque production, flux density, eddy current loss in the copper sheets, and equivalent thermal resistance as a function of the lamination stack copper fill factor as shown in Figure 2. Results show that the equivalent thermal resistance from conductor to heatsink is decreased by 40% at 20% copper lamination stack factor without ceramics, while torque production is reduced by 1%. Including ceramics in the analysis, an additional 10% reduction in equivalent thermal resistance is observed. A full paper presents the proposed motor’s performance, load profiles for take-off and landing and includes eddy current loss, flux fringing, optimal heatsink design, thermal analysis and experimental test results. https://assets.underline.io/uploads/markdown_image/1/image/fe4d126d022d3fbab987c5292f2eb272.jpg Figure 1. Slot configuration and thermal equivalent circuit https://assets.underline.io/uploads/markdown_image/1/image/94328db26bddc4e11226a98ae7ef7c86.jpg Figure 2. Thermal resistance versus copper lamination stack factor","url":"https://doi.org/10.48448/k1jb-z870","authors":["MMM Conferences 2022","Haran, Kiruba","Lee, Dongsu","Salk, Noah"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2021","doi":"10.48448/k1jb-z870","addedAt":"2026-08-31T06:39:37.633Z","updatedAt":"2026-08-31T06:39:37.633Z"},{"id":"doi:10.21227/n00b-ec69","name":"\"Temporal-Constrained DDPG-Based Autonomous Navigation for eVTOLs in Dynamic Environments\"","source":"datacite","abstract":"\"With the introduction of the low-altitude economy concept, the application of electric vertical takeoff and landing (eVTOL) aircraft has become more widespread, particularly in search and rescue missions. However, most of the existing path planning methods cannot effectively cope with dynamic environments and changes in destinations, which limits the ability of eVTOL drones to autonomously perform planning tasks in unknown dynamic environments. To address these challenges, this paper first proposes a Temporal-constrained Deep Deterministic Policy Gradient (TDDPG) reinforcement learning framework that integrates timing constraints to solve efficient exploration and path planning problems in dynamic environments through continuous action space. Then, a multi-objective composite reward function is designed to account for sensor-detected obstacles and other environmental factors, improving planning robustness and success rates. Finally, to tackle the convergence challenges of TDDPG, this paper introduces initialization exploration and prioritized experience replay mechanisms, effectively enhancing learning efficiency in dynamic environments. Simulation results show that TDDPG can successfully complete the eVTOL path planning task in an unknown dynamic obstacle environment. Compared with other algorithms, TDDPG obtains higher rewards in fixed endpoint tasks and shows better efficiency and success rate in random endpoint tasks.\"","url":"https://doi.org/10.21227/n00b-ec69","authors":["mingyu qi"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.21227/n00b-ec69","addedAt":"2026-08-31T06:39:37.633Z","updatedAt":"2026-08-31T06:39:37.633Z"},{"id":"doi:10.1184/r1/14226830.v1","name":"eVTOL Battery Dataset","source":"datacite","abstract":"A dataset of lithium ion battery discharge data including voltage, temperature, and current from eVTOL duty cycles. The baseline profile is:- High power discharge (takeoff)- Low power discharge (cruise)- High power discharge (landing)- Rest to allow temperature to moderate- Constant current charge- Constant voltage charge- Rest This dataset varies parameters such as ambient temperature, cruise length, aircraft power, charge current, and others which eVTOLs may regularly encounter during flight. It is intended to assist with the development of algorithms to manage electric aircraft batteries, including state of charge and state of health estimation, lifetime prediction, and others.","url":"https://doi.org/10.1184/r1/14226830.v1","authors":["Bills, Alexander","Viswanathan, Venkatasubramanian","Sripad, Shashank","Frank, Evan","Charles, Devin","Fredericks, William Leif"],"tags":["91305 Energy Generation, Conversion and Storage Engineering","FOS: Mechanical engineering","90199 Aerospace Engineering not elsewhere classified"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2021","doi":"10.1184/r1/14226830.v1","addedAt":"2026-08-31T06:39:37.633Z","updatedAt":"2026-08-31T06:39:37.633Z"},{"id":"doi:10.1184/r1/14226830.v3","name":"eVTOL Battery Dataset","source":"datacite","abstract":"A dataset of lithium ion battery discharge data including voltage, temperature, and current from eVTOL duty cycles. The baseline profile is: - High power discharge (takeoff) - Low power discharge (cruise) - High power discharge (landing) - Rest to allow temperature to moderate - Constant current charge - Constant voltage charge - Rest This dataset varies parameters such as ambient temperature, cruise length, aircraft power, charge current, and others which eVTOLs may regularly encounter during flight. It is intended to assist with the development of algorithms to manage electric aircraft batteries, including state of charge and state of health estimation, lifetime prediction, and others. The files VAH##.csv contain the original cycling data, while the files VAH##_impedance.csv contain the processed internal resistance for each cell at each valid measurement of that quantity.","url":"https://doi.org/10.1184/r1/14226830.v3","authors":["Bills, Alexander","Viswanathan, Venkatasubramanian","Sripad, Shashank","Frank, Evan","Charles, Devin","Fredericks, William Leif"],"tags":["91305 Energy Generation, Conversion and Storage Engineering","FOS: Mechanical engineering","90199 Aerospace Engineering not elsewhere classified"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2023","doi":"10.1184/r1/14226830.v3","addedAt":"2026-08-31T06:39:37.633Z","updatedAt":"2026-08-31T06:39:37.633Z"},{"id":"doi:10.18725/oparu-56483","name":"Particle, surface and grain boundary engineering of LiNi0.5Mn1.5O4 cathode materials for next-generation lithium-ion batteries","source":"datacite","abstract":"The growing demand for lithium-ion batteries (LIBs) with higher energy density, power density, long cycle life, excellent safety, and low cost necessitates the development of advanced cathode active materials (CAMs) to meet these evolving requirements. Among potential candidates, LiNi0.5Mn1.5O4 (LNMO) has gained significant attention due to its cobalt-free composition, cost-effectiveness, and sustainability. LNMO’s high energy density driven by an operating voltage of 4.7 V (vs. Li/Li+), combined with excellent rate capability and superior thermal stability, makes it a promising material for applications in electric vehicles (EVs), electric vertical take-off and landing (eVTOL) aircraft, and large-scale energy storage systems (ESS). However, its widespread adoption is hindered by challenges such as structural degradation caused by Jahn-Teller distortion, metal-ion dissolution, and surface instabilities at the LNMO/electrolyte interface, which result in poor cycling performance. Overcoming these challenges is essential to unlocking LNMO’s full potential. This thesis focuses on addressing these obstacles through innovative material development strategies, including particle design, surface coating, and grain boundary modifications. As a first approach, a cost-effective borate-based surface coating was explored to mitigate parasitic side reactions at the LNMO/electrolyte interface. Using a scalable and cost-effective coating process, the borate coating thickness was optimized to enhance interfacial stability and kinetics, thereby improving high-rate performance. This resulted in significant improvement in cycling stability for LNMO/graphite cells, with borate-coated LNMO achieving 62.5% capacity retention after 1,000 cycles, compared to 41.2% for uncoated LNMO. Furthermore, the role of borate coating in mitigating cell aging was systematically investigated through post-mortem analyses. In addition to surface modification, material properties such as particle size, morphology, surface area, and grain boundary structure were identified as critical parameters influencing the interfacial stability and metal-ion dissolution in LNMO. Consequently, a rational material design approach was employed to develop LNMO materials with tailored properties. These tailored materials, also referred to as SiO2-LNMO, were composed of large spherical secondary particles (D50 = 14-18 µm) consisting of truncated octahedral primary particles (1.5-6.5 µm) with {111} and {100} facets, resulting in extremely low surface areas (0.20-0.35 m2 g-1). Additionally, the surfaces and grain boundaries were modified with a SiO2 phase, significantly enhancing interfacial stability. These materials demonstrated excellent stability in half-cells (LNMO vs. lithium), retaining over 95% of their capacity after 500 cycles at 25°C. In full-cells (LNMO vs. graphite), the SiO2-LNMO materials exhibited an end-of-life (EOL) after 682 cycles, compared to 400 cycles for pristine LNMO, a 69% improvement in cycle life. Furthermore, these materials also demonstrated excellent cycling stability at elevated temperature of 45°C. Post-mortem analyses further revealed the effectiveness of particle design in stabilizing the LNMO interface and reducing cathode-anode cross talk leading to excellent cycle life. Finally, this thesis resolves a long-standing debate concerning the chemical composition of secondary phases in LNMO materials through the use of correlative Raman-SEM microscopy. Unlike conventional X-ray diffraction (XRD), which struggles to accurately resolve these phases due to their low fractions and overlap with the LNMO phase, correlative Raman-SEM analysis precisely identified Ni6MnO8 and Li2MnO3 as secondary phases in materials synthesized at 900°C, with an additional Mn3O4 phase present in those synthesized at 1,000°C. The impact of these secondary phases on LNMO’s rate capability and long-term cycling stability was also investigated. Despite secondary phase content ~6.4-10.9","url":"https://doi.org/10.18725/oparu-56483","authors":["Nisar, Umair"],"tags":["High-voltage spinel","LiNi0.5Mn1.5O4 (LNMO)","LNMO/graphite cells","Cell aging","Cathode-electrolyte-interphase (CEI)","Solid-electrolyte-interphase (CEI)","Surface coatings","Grain boundary modification"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.18725/oparu-56483","addedAt":"2026-08-31T06:39:37.633Z","updatedAt":"2026-08-31T06:39:37.633Z"},{"id":"doi:10.21227/5gbw-m962","name":"\"TDDPG: Temporal-Constrained DDPG-Based Autonomous Navigation for eVTOLs in Dynamic Environments\"","source":"datacite","abstract":"\"With the introduction of the low-altitude economy concept, the application of electric vertical takeoff and landing (eVTOL) aircraft has become more widespread, particularly in search and rescue missions. However, most of the existing path planning methods cannot effectively cope with dynamic environments and changes in destinations, which limits the ability of eVTOL drones to autonomously perform planning tasks in unknown dynamic environments. To address these challenges, this paper first proposes a Temporal-constrained Deep Deterministic Policy Gradient (TDDPG) reinforcement learning framework that integrates timing constraints to solve efficient exploration and path planning problems in dynamic environments through continuous action space. Then, a multi-objective composite reward function is designed, which comprehensively considers various obstacles and environmental factors, improving the success rate of eVTOL path planning. Finally, to tackle the convergence challenges of TDDPG, this paper introduces initialization exploration and prioritized experience replay mechanisms, effectively enhancing learning efficiency in dynamic environments. Simulation results show that TDDPG can successfully complete the eVTOL path planning task in an unknown dynamic obstacle environment. Compared with other algorithms, TDDPG obtains higher rewards in fixed endpoint tasks and shows better efficiency and success rate in random endpoint tasks.\"","url":"https://doi.org/10.21227/5gbw-m962","authors":["Mingyu Qi"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.21227/5gbw-m962","addedAt":"2026-08-31T06:39:37.633Z","updatedAt":"2026-08-31T06:39:37.633Z"},{"id":"doi:10.18130/6s4h-r856","name":"Systems Analysis and Negotiation of Strategic Partnerships in the Supply of Biofuels to Commercial Aviation; Addressing the Ethical Implications of Cobalt Mining in Electric Vertical Takeoff and Landing Vehicles (eVTOLs)","source":"datacite","abstract":"As the aviation industry faces increasing pressure to decarbonize, sustainability has become a driving force behind innovation in both aircraft design and fuel sourcing. My technical and STS research projects are connected by this shared commitment to sustainability in aviation, though they approach the issue from opposite ends of the value chain. My technical work focused on modeling and optimizing supply chains for sustainable aviation fuel (SAF) to Dulles International Airport (IAD), while my STS research explored the ethical implications of eVTOL development, particularly the exploitation embedded in the cobalt supply chain. Together, these projects examine how the pursuit of “clean” aviation is often complicated by underlying logistical and ethical tradeoffs that are too often ignored. My technical project used systems analysis to study SAF distribution to Dulles International Airport. We applied the Freight and Fuel Transportation Optimization Tool (FTOT) to model possible feedstock and processing facility locations across the state and proposed routes that minimize cost and environmental impact. We also analyzed the interests of different stakeholders, including fuel producers, airlines, airports, and local governments, and proposed negotiation strategies for aligning goals and overcoming infrastructure and investment barriers. The goal of this work was to provide actionable strategies for enabling a scalable SAF supply chain that supports state and national climate goals for aviation. In contrast, my STS research examined the darker side of clean aviation by investigating the hidden ethical costs of lithium-ion batteries in eVTOLs. Using Actor-Network Theory, I mapped out the global cobalt supply chain and showed how the success of eVTOLs depends on a deeply exploitative system of labor in the Democratic Republic of the Congo. While these aircraft are marketed as sustainable and zero-emission, their batteries rely on cobalt sourced from regions plagued by child labor, unsafe working conditions, and environmental destruction. Through this framework, I argued that no aviation technology, no matter how innovative, can be considered truly sustainable if it ignores the injustices embedded in its supply chain. Working on these two projects in tandem gave me a broader and more critical perspective on what sustainability in aviation really means. My technical work emphasized how SAF infrastructure can enable greener flight, but my STS research reminded me that sustainability cannot be reduced to emissions alone. It must also include ethical sourcing, social equity, and global accountability. This interplay helped me better understand the complexity of systems engineering in the real world, where technical feasibility must always be evaluated alongside social responsibility. Ultimately, these projects deepened my awareness of how even well-intentioned efforts toward decarbonization must be scrutinized for their broader consequences because the future of sustainable aviation depends not just on innovation, but also on integrity.","url":"https://doi.org/10.18130/6s4h-r856","authors":["William Stone"],"tags":["sustainability","eVTOL","SAF","systems analysis"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.18130/6s4h-r856","addedAt":"2026-08-31T06:39:37.633Z","updatedAt":"2026-08-31T06:39:37.633Z"},{"id":"doi:10.17632/kzk3j8xhhm","name":"3D flight route optimization for air-taxis in urban areas (Python + arcpy repository)","source":"datacite","abstract":"This is a repository for an 3D route optimization for air taxis with the multiple criteria \"Shortest Flight Time\", \"Least Energy Consumption\" and \"Least Added Noise\". This dataset includes the code and information of how to run the optimization. The optimization can be run for multiple eVTOL types in any urban area, if the flight characteristics of the aircrafts are known and if the spatial input data is available. In the predefined set-up, the study area is New York City, and the supported aircraft types the Lilium jet 5-seater and the Ehang 184. If you wish to keep up with ongoing changes, please visit the referenced Github repository. Requirements: Install and get license for ArcGIS Pro (https://pro.arcgis.com/en/pro-app/get-started/install-and-sign-in-to-arcgis-pro.htm) Set up your Python environment: You need Python 3.68 (Comes with ArcGIS Pro). The libriaries that come with it are additionally listed in requirements.txt. Use the environment of ArcGIS Pro to run the main.py. For example, the environment for my installation is: \"C:\\Program Files\\ArcGIS\\Pro\\bin\\Python\\envs\\arcgispro-py3\\python.exe\" Download the Geodatabase \"OptimizationInputs\" and unzip. In init.py, set arcpy.env.workspace = r'...\\OptimizationInputs.gdb' to the path where you stored the downloaded Geodatabase Running the optimization: Define, which aircraft you want to use. Currently you can use the flight characteristics of the Lilium Jet 5-seater (aircraft = \"Lilium\") or to the Ehang 184 (aircraft = \"EHANG\") in main.py Define the parameters that you want to use in main.py. Keep in mind, that bigger population sizes increase the computation time. The default population sie is therefore small. Define how often you want to run the loop in the main.py at location \"for seed in range(1):\" Run the main and do not open ArcGIS Pro until optimization has finished. Otherwise you can lock the Geodatabase in use. Getting the results: The logged data that contain the fitness values are stored in the directory \"LogFiles\". The runs from you contain \"new\" in their names. The Point Feature Classes are stored in the Geodatabase.","url":"https://doi.org/10.17632/kzk3j8xhhm","authors":["Hildemann, Moritz Jan"],"tags":["3D Echocardiography"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2020","doi":"10.17632/kzk3j8xhhm","addedAt":"2026-08-31T06:39:37.633Z","updatedAt":"2026-08-31T06:39:37.633Z"},{"id":"doi:10.48550/arxiv.2504.21583","name":"Toward Realization of Low-Altitude Economy Networks: Core Architecture, Integrated Technologies, and Future Directions","source":"datacite","abstract":"The rise of the low-altitude economy (LAE) is propelling urban development and emerging industries by integrating advanced technologies to enhance efficiency, safety, and sustainability in low-altitude operations. The widespread adoption of unmanned aerial vehicles (UAVs) and electric vertical takeoff and landing (eVTOL) aircraft plays a crucial role in enabling key applications within LAE, such as urban logistics, emergency rescue, and aerial mobility. However, unlike traditional UAV networks, LAE networks encounter increased airspace management demands due to dense flying nodes and potential interference with ground communication systems. In addition, there are heightened and extended security risks in real-time operations, particularly the vulnerability of low-altitude aircraft to cyberattacks from ground-based threats. To address these, this paper first explores related standards and core architecture that support the development of LAE networks. Subsequently, we highlight the integration of technologies such as communication, sensing, computing, positioning, navigation, surveillance, flight control, and airspace management. This synergy of multi-technology drives the advancement of real-world LAE applications, particularly in improving operational efficiency, optimizing airspace usage, and ensuring safety. Finally, we outline future research directions for LAE networks, such as intelligent and adaptive optimization, security and privacy protection, sustainable energy and power management, quantum-driven coordination, generative governance, and three-dimensional (3D) airspace coverage, which collectively underscore the potential of collaborative technologies to advance LAE networks.","url":"https://doi.org/10.48550/arxiv.2504.21583","authors":["Wang, Yixian","Sun, Geng","Sun, Zemin","Wang, Jiacheng","Li, Jiahui","Zhao, Changyuan","Wu, Jing","Liang, Shuang","Yin, Minghao","Wang, Pengfei","Niyato, Dusit","Sun, Sumei","Kim, Dong In"],"tags":["Networking and Internet Architecture (cs.NI)","FOS: Computer and information sciences","FOS: Computer and information sciences"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.48550/arxiv.2504.21583","addedAt":"2026-08-31T06:39:37.633Z","updatedAt":"2026-08-31T06:39:37.633Z"},{"id":"doi:10.21949/1524492","name":"Investigation of Certification Considerations for Distributed Electric Propulsion (DEP) Aircraft","source":"datacite","abstract":"Efforts from the first year of a multi-year investigation examining the use of estimation of both remaining vehicle control power margins and external environmental disturbances for distributed electric propulsion (DEP) vehicles as a contributor for vehicle certification are described. This study combines simulation of DEP aircraft with experimental testing of representative models in the assessment of algorithms for determining remaining control power margins in real-time operation of these vehicles, to provide a metric for the capability of that vehicle to accommodate operational disturbances and avoid loss of control (LOC) events. The Comprehensive Hierarchical Aeromechanics Rotorcraft Model (CHARM) analysis for aerodynamic interaction effects on these configurations is being used to simulate and characterize vehicle response to disturbances and to applied control inputs throughout its flight envelope. The goal of the effort is to determine the viability of the methods for calculation of remaining control power margins, and to assess the utility of the methods in safety monitoring of DEP flight operations for both manned and unmanned vehicles. This first year of research has shown that application of algorithms for estimating remaining available vehicle control power, and local gust disturbance magnitudes, appear to provide a usable safety assessment for avoiding loss of control (LOC) events for eVTOL/DEP aircraft. A follow-on research project will expand the algorithm application for control equivalent gust estimation and extraction of local disturbance flows.","url":"https://doi.org/10.21949/1524492","authors":["McKillip, R. Jr.","Wachspress, D","Continuum Dynamics (United States)"],"tags":["Aircraft","Control system applications","Propulsion","Remote sensing","VTOL aircraft","Adaptive control"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2022","doi":"10.21949/1524492","addedAt":"2026-08-31T06:39:37.633Z","updatedAt":"2026-08-31T06:39:37.633Z"},{"id":"doi:10.21949/1528241","name":"Aviation Safety Research on Developing Mission Task Elements, Means of Compliance/Methods of Compliance, for Certification of General Aviation, VTOL, VSTOL, or Hybrid Aircraft","source":"datacite","abstract":"Aircraft manufacturers are currently advancing the implementation of Automatic Flight Control Systems (AFCS) in General Aviation (GA) aircraft, certifiable under 14 Code of Federal Regulations (CFR) Part 23 regulations. Additionally, several startup companies, often backed up by larger manufacturers, are developing an entirely new technology with the ultimate vision of deploying Urban Air Mobility (UAM) to a large scale; electric Vertical Takeoff and Landing (eVTOL) aircraft will be certified under 14 CFR 21.17(b) as powered lift aircraft. Other companies are trying to efficiently fill the gap between short distance ground transportation and long-range air transportation, designing economically viable Regional Air Mobility (RAM) vehicles. Different manufacturers are following different approaches, ranging from retro-fitting existing conventional flight control designs with AFCSs to exploit the capabilities of Fly-By-Wire (FBW) systems and integrated avionics, to developing completely new configurations capable of quiet, emission-free, vertical and forward flight. Common traits of most of these projects are FBW technology and electric propulsion.","url":"https://doi.org/10.21949/1528241","authors":["Lotterio, Marco","Pingitore, Andrea","Di Francesco, Gabriele","National Test Pilot School"],"tags":["Aircraft","Certification","Flight control systems","Flight simulators","Interfaces","Task analysis","Hybrid vehicles","Handling characteristics"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2023","doi":"10.21949/1528241","addedAt":"2026-08-31T06:39:37.633Z","updatedAt":"2026-08-31T06:39:37.633Z"},{"id":"doi:10.21949/1528235","name":"Developing Means of Compliance for eVTOL Vehicles: Phase II Final Report","source":"datacite","abstract":"Development of new air vehicles types (e.g., personal air vehicles, urban taxis, etc.) have led to a proliferation of Vertical Takeoff and Landing (VTOL) vehicle concepts including electric vehicles, many of which are well funded and are in various stages of prototype development and testing. These vehicles almost exclusively feature fly-by-wire (FBW) flight control systems with advanced flight control system response-types. The processes and requirements needed to certify these disparate vehicles for operation within the National Airspace System are still emerging. To aid in the requirements and certification process, a mission-oriented approach is being applied to define Mission Task Elements (MTEs), often referred to as Flight Test Maneuvers (FTMs), that will serve as a means of compliance with Part 21.17(b) of certification regulations. This report summarizes the Phase II effort of this program wherein an industry representative lift plus cruise electric Vertical Takeoff and Landing (eVTOL) configuration was used to develop and exercise via analysis and fixed-base simulation candidate Handling Qualities Task Elements (HQTEs), a subset of MTEs/FTMs, that address control law transitions, envelope protections, and automation. MTEs/FTMs are repeatable tests based on the vehicle Concept of Operations (CONOPS) and tailored to evaluate aircraft characteristics that assure safe operations within the flight envelope and the ability to perform the intended mission(s) with acceptable pilot workload/compensation.","url":"https://doi.org/10.21949/1528235","authors":["Klyde, D H","Jones, M. G.","Kotikalpudi, A","Lotterio, M","Systems Technology, Inc."],"tags":["Aircraft operations","Certification","Compliance","Electric vehicles","VTOL aircraft"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2023","doi":"10.21949/1528235","addedAt":"2026-08-31T06:39:37.633Z","updatedAt":"2026-08-31T06:39:37.633Z"},{"id":"doi:10.21949/kew3-6v38","name":"Evaluation Of Novel V/STOL Aircraft Pilot Interface Concepts — Version 1.15","source":"datacite","abstract":"This report documents a response to a request from the FAA UAS Integration Office to provide recommendations for candidate methods for evaluating the airworthiness of a broad range of new aircraft concepts. The UAS Integration Office is facing an unprecedented diversity of applicant aircraft and automation configurations in aviation segments generally referred to as advanced air mobility (AAM). The research activity is aimed at developing evaluation methods that accommodate a range of automated aircraft systems (i.e. pilot on-onboard, remotely operated, or autonomous) and a diversity of aircraft configurations, specifically aircraft with vertical/short take-off and landing (V/STOL) capabilities, including vertical take-off and landing (VTOL) aircraft with electric propulsion (eVTOL). This report describes the results from a series of simulator studies to examine the efficacy of flight test maneuvers. These initial studies focused on the assessment of piloted eVTOL aircraft with Indirect Flight Control Systems (IFCS), reflecting the state of the leading industry airworthiness applications and FAA needs. The investigations revealed that the methodology is adaptable to the new class of powered V/STOL aircraft. The research successfully produced and assessed an initial set of eleven maneuvers, performance criteria, and test course specifications applicable to AAM operations.","url":"https://doi.org/10.21949/kew3-6v38","authors":["Feary, Michael","Kaneshige, John","Lombaerts, Thomas","Haworth, Loran","Archdeacon, John","Iwai, Nelson","Shish, Kimberlee","Deshmukh, Rohit","Torron, Isabel","Hardy, Gordon","Ames Research Center"],"tags":["Automation","Flight control systems","Aerodynamic lift","Flight tests","Simulation"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.21949/kew3-6v38","addedAt":"2026-08-31T06:39:37.633Z","updatedAt":"2026-08-31T06:39:37.633Z"},{"id":"doi:10.5281/zenodo.15087381","name":"eVTOL Reality Check: What Makes an eVTOL Design Truly Viable?","source":"datacite","abstract":"An eVTOL (electric Vertical Takeoff and Landing) aircraft is an emerging class of battery-powered vehicles capable of taking off vertically, flying long distances, and landing vertically using electric propulsion. Designed for urban air mobility, cargo transport, and regional flight, eVTOLs have attracted global attention, with hundreds of companies racing to bring their designs to market while securing significant investor funding. However, many of these designs have faced criticism for poor technical viability. In this article, we’ll outline key rules of thumb to help you assess an eVTOL design’s efficiency and feasibility.","url":"https://doi.org/10.5281/zenodo.15087381","authors":["Cruz-Ayoroa, Juan G."],"tags":["Aerospace engineering","eVTOL"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.15087381","addedAt":"2026-08-31T06:39:37.633Z","updatedAt":"2026-08-31T06:39:37.633Z"},{"id":"doi:10.5281/zenodo.15087380","name":"eVTOL Reality Check: What Makes an eVTOL Design Truly Viable?","source":"datacite","abstract":"An eVTOL (electric Vertical Takeoff and Landing) aircraft is an emerging class of battery-powered vehicles capable of taking off vertically, flying long distances, and landing vertically using electric propulsion. Designed for urban air mobility, cargo transport, and regional flight, eVTOLs have attracted global attention, with hundreds of companies racing to bring their designs to market while securing significant investor funding. However, many of these designs have faced criticism for poor technical viability. In this article, we’ll outline key rules of thumb to help you assess an eVTOL design’s efficiency and feasibility.","url":"https://doi.org/10.5281/zenodo.15087380","authors":["Cruz-Ayoroa, Juan G."],"tags":["Aerospace engineering","eVTOL"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.15087380","addedAt":"2026-08-31T06:39:37.633Z","updatedAt":"2026-08-31T06:39:37.633Z"},{"id":"doi:10.3929/ethz-b-000471053","name":"Potential urban air mobility travel time savings: An exploratory analysis of Munich, Paris, and San Francisco","source":"datacite","abstract":"The advent of electrified, distributed propulsion in vertical take-off and landing (eVTOL) aircraft promises aerial passenger transport within, into, or out of urban areas. Urban air mobility (UAM), i.e., the on-demand concept that utilizes eVTOL aircraft, might substantially reduce travel times when compared to ground-based transportation. Trips of three, pre-existent, and calibrated agent-based transport scenarios (Munich Metropolitan Region, Île-de-France, and San Francisco Bay Area) have been routed using the UAM-extension for the multi-agent transport simulation (MATSim) to calculate congested trip travel times for each trip’s original mode—i.e., car or public transport (PT)—and UAM. The resulting travel times are compared and allow the deduction of potential UAM trip shares under varying UAM properties, such as the number of stations, total process time, and cruise flight speed. Under base-case conditions, the share of motorized trips for which UAM would reduce the travel times ranges between 3% and 13% across the three scenarios. Process times and number of stations heavily influence these potential shares, where the vast majority of UAM trips would be below 50 km in range. Compared to car usage, UAM’s (base case) travel times are estimated to be competitive beyond the range of a 50-minute car ride and are less than half as much influenced by congestion.","url":"https://doi.org/10.3929/ethz-b-000471053","authors":["Rothfeld, Raoul","Fu, Mengying","Balać, Miloš","Antoniou, Constantinos"],"tags":["Urban aerial passenger transport","eVTOL","Agent-based modeling","MATSim","Motorized trip share"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2021","doi":"10.3929/ethz-b-000471053","addedAt":"2026-08-31T06:39:37.633Z","updatedAt":"2026-08-31T06:39:37.633Z"},{"id":"doi:10.60711/tsas25.20250219.7697268628101115","name":"Design Of a High efficiency 300 kw Interleaved Boost Converter For an eVTOL Aircraft\r\n","source":"datacite","abstract":"Despite being relatively efficient compared to other transportation modes, aviation is the most polluting of all existing means of transport. It represents today 2.5% of CO2 emissions but 4% of the global warming since pre-industrial times and these ratios are likely to increase due to the growing international demand. Consequently, the aeronautic industry is increasingly exploring the use of more electric aircraft, in particular for urban mobility like Electric Vertical Take-Off and Landing (eVTOL), preferably with renewable energy sources such as fuel cells and batteries. This type of aircraft with propulsion engines has stringent requirements, such as high-power demand, especially during take-off and landing phases as well as voltage bus stability constraints, making it difficult to find a suitable DC-DC converter to connect the fuel cell, with its low output voltage, to the DC bus, with its higher voltage. Our case study is an eVTOL with a maximum power of 1 megawatt powered by 4 fuel cells of 300 kW max each, with a minimum output voltage of 300 VDC, hybridized with 4 batteries. The fuel cells are connected to the DC bus via DC-DC converters, and the DC bus voltage is 700 VDC, making it impossible to find simple boost converter components that can handle such a high current level. For this purpose, in this article, a 5-phase interleaved boost is proposed. This will allow us to size a converter with electrical components such as inductors and capacitors available on the market. The first part is devoted to determining the boost parameters, including input inductor and output capacitor, based on the desired input current ripple and output voltage ripple. RMS current is calculated for components such as output inductors, diodes, transistors, and capacitors. These analytical calculations are validated by simulations using the OpenModelica tool. Finally, using component data sheets and calculated RMS currents, the interleaved boost converter efficiency is calculated. The third part presents the weight calculation of the cooling system for the power converter as function of its component sizes and thermal compatibility. Finally, the weight and power density of the entire interleaved boost system are calculated. As a result, the 5-phase interleaved boost converter achieves a high value of efficiency approaching 99%. This is of particular importance in applications with high power loads, such as 300 kW. The mass power density is also promising, approaching 4 kW/kg, which means that a 300 kW converter weighs only around 78 kg. In summary, this study focused on the operation of a boost converter, with a detailed analysis of the parameters for different interleaved boost configurations. Simulations and calculations led to the selection of a 5-branch boost, with an exceptional efficiency of almost 99%. Power density by mass approaches 4 kW/kg, indicating an efficient design with a weight of around 78 kg for a 300-kW converter. However, the volumetric power density of 0.45 kW/liter, although an improvement on the literature, remains inadequate for avionics applications, notably eVTOL.","url":"https://doi.org/10.60711/tsas25.20250219.7697268628101115","authors":["Youssef HENNANE"],"tags":["Towards Sustainable Aviation Summit 2025 - 28-30 January 2025 - Session 25 | ENERGY AND PROPULSION - ELECTRICAL"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.60711/tsas25.20250219.7697268628101115","addedAt":"2026-08-31T06:39:37.633Z","updatedAt":"2026-08-31T06:39:37.633Z"},{"id":"doi:10.25777/8agh-jw47","name":"Computer Based Modeling for Small e-VTOL Propeller Performance","source":"datacite","abstract":"The emerging field of urban air mobility (UAM) offers a novel transportation method for civil, commercial, and military applications. Vertical take-off and landing (VTOL) configurations present challenges for performance prediction during crucial flight operations. An advanced computational framework for predicting propeller performance in electric vertical takeoff and landing (eVTOL) aircraft during transition flight is essential for future concept designs. This research extends the Blade Element Momentum Theory (BEMT) to model propeller behavior at high incidence angles, crucial for eVTOL operation. The study begins with a review of tilt-wing/rotor configurations for eVTOLs and tackles the complex aerodynamic phenomena associated with rotors at incidence. An extended BEMT methodology is then developed, incorporating dynamic inflow modeling and semi-empirical corrections to account for the intricate flow field encountered during transition flight. This model is implemented in MATLAB, enabling efficient simulation across a wide range of operating conditions. Validation of this computational propeller model was achieved through experimental testing that was conducted using both the low- and high-speed test sections of Old Dominion University's subsonic wind tunnel facility. Two different sizes of conventional, fixed pitch, APC manufactured off-the-shelf propellers were selected for testing and validation. The experimental design employed Design of Experiments (DOE) methodology, allowing for efficient exploration of the multidimensional parameter space of propeller operation. The study also explored a simulation surrogate model using Gaussian Process Regression (GPR) to develop rapid prediction tools for propeller performance. A comprehensive comparison between experimental results and simulation predictions demonstrated good agreement for the two propellers, with RPM values from 4000 to 6000 and incidence angles from 0° to 80°. For the APC 11x7 propeller, average errors were approximately 5% for thrust and 10% for normal force and torque coefficients. The APC 13x6 propeller showed similar accuracy, with average errors of approximately 10% for thrust and 8% for normal force and torque coefficients. This work contributes to eVTOL propulsion research by providing a validated reduced-order computational framework for predicting propeller performance during critical transition flight regimes, offering valuable resources for future eVTOL propulsion system design and optimization","url":"https://doi.org/10.25777/8agh-jw47","authors":["Konuk, Ege"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.25777/8agh-jw47","addedAt":"2026-08-31T06:39:37.633Z","updatedAt":"2026-08-31T06:39:57.286Z"},{"id":"doi:10.48550/arxiv.2406.07766","name":"An Integrated Supply Chain Network Design for Advanced Air Mobility Aircraft Manufacturing Using Stochastic Optimization","source":"datacite","abstract":"Electric vertical takeoff and landing (eVTOL) aircraft manufacturers await numerous pre-orders for eVTOLs and expect demand for such advanced air mobility (AAM) aircraft to rise dramatically soon. However, eVTOL manufacturers (EMs) cannot commence mass production of commercial eVTOLs due to a lack of supply chain planning for eVTOL manufacturing. The eVTOL supply chain differs from traditional ones due to stringent quality standards and limited suppliers for eVTOL parts, shortages in skilled labor and machinery, and contract renegotiations with major aerospace suppliers. The emerging AAM aircraft market introduces uncertainties in supplier pricing and capacities, eVTOL manufacturing costs, and eVTOL demand, further compounding the supply chain planning challenges for EMs. Despite this critical need, no study has been conducted to develop a comprehensive supply chain planning model for EMs. To address this research gap, we propose a stochastic optimization model for integrated supply chain planning of EMs while maximizing their operating profits under the abovementioned uncertainties. We conduct various numerical cases to analyze the impact of 1) endogenous eVTOL demand influenced by the quality of eVTOLs, 2) supply chain disruptions caused by geopolitical conflicts and resource scarcity, and 3) high-volume eVTOL demand similar to that experienced by automotive manufacturers, on EM supply chain planning. The results indicate that our proposed model is adaptable in all cases and outperforms established benchmark stochastic models. The findings suggest that EMs can commence mass eVTOL production with our model, enabling them to make optimal decisions and profits even under potential disruptions.","url":"https://doi.org/10.48550/arxiv.2406.07766","authors":["Dulia, Esrat Farhana","Shihab, Syed A. M."],"tags":["Optimization and Control (math.OC)","FOS: Mathematics","FOS: Mathematics"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.48550/arxiv.2406.07766","addedAt":"2026-08-31T06:39:37.633Z","updatedAt":"2026-08-31T06:39:37.633Z"},{"id":"doi:10.26153/tsw/58133","name":"Active phasing for thrust control of electric rotorcraft","source":"datacite","abstract":"Advancements in electric propulsion technology over recent years have led to a diverse electric vertical takeoff and landing (eVTOL) aircraft ecosystem due to the greater design freedom possible with electrification. This highlights the present challenge in discerning the optimal propulsion system topology to meet design goals. A subject of significant debate is whether the weight reductions and simplicity of speed-controlled rotors justify the reduction in thrust control bandwidth versus pitch control. Therefore, the goals of this work were to quantify the thrust performance and power requirements of speed-controlled rotor systems and to develop and assess the performance of a new thrust control concept possible with electric propulsion: thrust control via stacked rotor index angle. A stacked rotor, or a coaxial co-rotating rotor, comprises two rotors spaced axially that spin in the same direction. The index angle is the angular separation between the rotors, which was controlled by electronically phasing each rotor with independent electric motors. Prior work has shown that at an axial spacing of 0.73 chord, the aerodynamic interaction between stacked rotors leads to thrust variations of 17% with changes in the index angle of 23 degrees, suggesting a low magnitude, high bandwidth thrust control method which may be useful for attitude stabilization and disturbance rejection. To compare and contrast the performance of the thrust control via index angle concept, a comprehensive experimental and numerical study was conducted. Two hover stands for two-bladed, two meter diameter rotors were designed and tested in this work: a single rotor, single motor setup and a stacked rotor, dual motor setup. All tests were conducted at 950 RPM and rotor blade loadings ranging from C [subscript T] /σ = 0 to C [subscript T] /σ = to 0.13. A model of the rotors and powertrains was developed coupling dynamic inflow, potential flow, blade element theory, and an electric motor model to predict steady and dynamic performance. A study was conducted on the single rotor system to investigate the time and frequency response of the rotor thrust and torque for changes in rotor speed of 3% magnitude and up to 8π rad/s. The model captured the measured thrust and torque responses for all test cases; dynamic inflow was found to be necessary to predict the thrust magnitude and phase dependence with rotor speed, with predictions being within 6% for all cases. Torque magnitude and phase trends were predicted accurately up to 4π rad/s changes in rotor speed, however, faster frequencies were over-predicted in magnitude and phase due to discrepancies between the motor model and experiment which resulted in an over-prediction in the motor speed cutoff frequency. A stacked rotor study was conducted for steady and ramp changes in the index angle. Findings highlighted design considerations needed to optimize the rotor for index angle control, such as a large collective pitch angle and small axial spacing for sufficient control bandwidth and high hover efficiency. Dynamic inflow and quasi-steady aerodynamics adequately captured the increased thrust response measured for ramp changes in the index angle of 5°/rev at 950 RPM. The index angle control concept was compared to the simulated performance of an equivalent speed and pitch-controlled rotor for a 10% thrust increase in 0.27 seconds; findings showed a reduction in the peak torque required of 22% versus a speed-controlled rotor and an increase of 27% versus the pitch-controlled rotor. Thus, if fixed-pitch simplicity is needed, index angle-controlled stacked rotors are a useful option to overcome control bandwidth limitations.","url":"https://doi.org/10.26153/tsw/58133","authors":["Asper, Matthew Shane","0000-0001-7991-8647"],"tags":["Performance","eVTOL","Electric propulsion","Aerospace","Rotorcraft"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.26153/tsw/58133","addedAt":"2026-08-31T06:39:37.633Z","updatedAt":"2026-08-31T06:39:37.633Z"},{"id":"doi:10.25967/630065","name":"Automated Air Traffic Control Interface Concept for Advanced Air Mobility Aircraft","source":"datacite","abstract":"With the rise of novel aircraft concepts such as electric vertical take-off and landing (eVTOL) vehicles comes the need to find solutions to efficiently and safely integrate them into our airspace structures. Existing solutions heavily rely on airspace segregation from conventional air traffic, although many use cases like passenger air shuttle services to vertiports near terminals of large airports require a more integrated air traffic management approach. This paper presents a working technological proof of concept for an automated air traffic control and flight execution process within controlled airspaces as well as a seamless integration with U-space. In addition, a highly reliable hybrid communication architecture is introduced to enable safe communication between these novel eVTOLs and associated ground stations.","url":"https://doi.org/10.25967/630065","authors":["von Mengden, D.","Gottfried, F.","Rüger, K.-W.","Gollnick, V."],"tags":["Unmanned Aircraft System Traffic Management","U-space","Advanced Air Mobility","Air Traffic Management","Air Traffic Control","Communication","Navigation and Surveillance","Command and Control"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.25967/630065","addedAt":"2026-08-31T06:39:37.633Z","updatedAt":"2026-08-31T06:39:37.633Z"},{"id":"doi:10.48550/arxiv.2501.03964","name":"A comparative study of uncertainty quantification methods in gust response analysis of a Lift-Plus-Cruise eVTOL aircraft wing","source":"datacite","abstract":"Wind gusts, being inherently stochastic, can significantly influence the safety and performance of aircraft. This study investigates a three-dimensional uncertainty quantification (UQ) problem to explore how uncertainties in gust and flight conditions affect the structural response of a Lift-Plus-Cruise eVTOL aircraft wing. The analysis employs an unsteady aeroelastic model with a one-way coupling between a panel method aerodynamic solver and a shell analysis structural solver to predict the wing's response under varying conditions. Additionally, this paper presents a comparative evaluation of commonly used non-intrusive UQ methods, including non-intrusive polynomial chaos, kriging, Monte Carlo, univariate dimension reduction, and gradient-enhanced univariate dimension reduction. These methods are assessed based on their effectiveness in estimating various risk measures-mean, standard deviation, and 95th percentile-of critical structural response outputs such as maximum tip displacement and average strain energy. The numerical results reveal significant variability in the structural response outputs, even under relatively small ranges of uncertain inputs. This highlights the sensitivity of the system to uncertainties in gust and flight conditions. Furthermore, the performance of the implemented UQ methods varies significantly depending on the specific risk measures and the quantity of interest being analyzed.","url":"https://doi.org/10.48550/arxiv.2501.03964","authors":["Wang, Bingran","Warner, Michael","Tian, Aoran","Scotzniovsky, Luca","Hwang, John T."],"tags":["Computational Engineering, Finance, and Science (cs.CE)","FOS: Computer and information sciences","FOS: Computer and information sciences"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.48550/arxiv.2501.03964","addedAt":"2026-08-31T06:39:37.633Z","updatedAt":"2026-08-31T06:39:37.633Z"},{"id":"doi:10.48550/arxiv.2501.03445","name":"Physics-Constrained Generative Artificial Intelligence for Rapid Takeoff Trajectory Design","source":"datacite","abstract":"To aid urban air mobility (UAM), electric vertical takeoff and landing (eVTOL) aircraft are being targeted. Conventional multidisciplinary analysis and optimization (MDAO) can be expensive, while surrogate-based optimization can struggle with challenging physical constraints. This work proposes physics-constrained generative adversarial networks (physicsGAN), to intelligently parameterize the takeoff control profiles of an eVTOL aircraft and to transform the original design space to a feasible space. Specifically, the transformed feasible space refers to a space where all designs directly satisfy all design constraints. The physicsGAN-enabled surrogate-based takeoff trajectory design framework was demonstrated on the Airbus A3 Vahana. The physicsGAN generated only feasible control profiles of power and wing angle in the feasible space with around 98.9% of designs satisfying all constraints. The proposed design framework obtained 99.6% accuracy compared with simulation-based optimal design and took only 2.2 seconds, which reduced the computational time by around 200 times. Meanwhile, data-driven GAN-enabled surrogate-based optimization took 21.9 seconds using a derivative-free optimizer, which was around an order of magnitude slower than the proposed framework. Moreover, the data-driven GAN-based optimization using gradient-based optimizers could not consistently find the optimal design during random trials and got stuck in an infeasible region, which is problematic in real practice. Therefore, the proposed physicsGAN-based design framework outperformed data-driven GAN-based design to the extent of efficiency (2.2 seconds), optimality (99.6% accurate), and feasibility (100% feasible). According to the literature review, this is the first physics-constrained generative artificial intelligence enabled by surrogate models.","url":"https://doi.org/10.48550/arxiv.2501.03445","authors":["Sisk, Samuel","Du, Xiaosong"],"tags":["Machine Learning (cs.LG)","FOS: Computer and information sciences"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.48550/arxiv.2501.03445","addedAt":"2026-08-31T06:39:37.633Z","updatedAt":"2026-08-31T06:39:57.286Z"},{"id":"doi:10.48550/arxiv.2412.09279","name":"Multi-Aircraft Scheduling Optimization in Urban Environments","source":"datacite","abstract":"With the increasing development of intelligent transportation systems and advancements in aviation technology, the concept of Advanced Air Mobility (AAM) is gaining attention. This study aims to improve operational safety and service quality within Urban Air Mobility (UAM) through a trajectory-based operation (TBO). A multi-layer operational risk assessment model is introduced to capture the effects of aircraft failure scenarios on critical urban entities, including ground personnel, vehicles, and in-flight UAVs (unmanned aerial vehicles). Based on this, a single-aircraft track planning model is designed to balance operational risk and transportation cost under the performance constraints of eVTOL (electric Vertical Take-off and Landing) aircraft. A customized track planning algorithm with safety buffer zones is used to identify the most efficient flight paths. Additionally, a multi-aircraft scheduling optimization model is proposed to minimize delays and reduce mid-air collision risks. Experimental results show that the presented approach improves both efficiency and safety, providing practical solutions for UAM operations.","url":"https://doi.org/10.48550/arxiv.2412.09279","authors":["Zhang, Jin","Qin, Xiaoran","Zhang, Ming"],"tags":["Systems and Control (eess.SY)","FOS: Electrical engineering, electronic engineering, information engineering","FOS: Electrical engineering, electronic engineering, information engineering"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.48550/arxiv.2412.09279","addedAt":"2026-08-31T06:39:37.633Z","updatedAt":"2026-08-31T06:39:37.633Z"},{"id":"doi:10.71945/icas2024_0978","name":"AERODYNAMIC INTERACTION EFFECTS OF TILTROTOR EVTOL AIRCRAFT","source":"datacite","abstract":"","url":"https://doi.org/10.71945/icas2024_0978","authors":["Moreira, C.","Breitsamter, C."],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.71945/icas2024_0978","addedAt":"2026-08-31T06:39:37.633Z","updatedAt":"2026-08-31T06:39:37.633Z"},{"id":"doi:10.71945/icas2024_0557","name":"FRAMEWORK DEVELOPMENT FOR CONCEPTUAL DESIGN AND CONFIGURATION ANALYSIS OF EVTOL AIRCRAFT","source":"datacite","abstract":"","url":"https://doi.org/10.71945/icas2024_0557","authors":["Yanev, R.Y.","Staack, I."],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.71945/icas2024_0557","addedAt":"2026-08-31T06:39:37.633Z","updatedAt":"2026-08-31T06:39:37.633Z"},{"id":"doi:10.71945/icas2024_0500","name":"ENVIRONMENTAL AND ECONOMIC ASSESSMENT OF AN EVTOL AIRCRAFT FLEET FOR URBAN AIR MOBILITY","source":"datacite","abstract":"","url":"https://doi.org/10.71945/icas2024_0500","authors":["Fioriti, M.","Borghi, M.","Pavan, G."],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.71945/icas2024_0500","addedAt":"2026-08-31T06:39:37.633Z","updatedAt":"2026-08-31T06:39:37.633Z"},{"id":"doi:10.48550/arxiv.2411.08661","name":"Energy Optimal Traversal Between Hover Waypoints for Lift+Cruise Electric Powered Aircraft","source":"datacite","abstract":"Advanced Air Mobility aircraft require energy efficient flight plans to be economically viable. This paper defines minimum energy direct trajectories between waypoints for Lift+Cruise electric Vertical Take-Off and Landing (eVTOL) aircraft. Energy consumption is optimized over accelerated and cruise flight profiles with consideration of mode transitions. Because eVTOL operations start and end in hover for vertical take-off and landing, hover waypoints are utilized. Energy consumption is modeled as a function of airspeed for each flight mode, providing the basis to prove energy optimality for multi-mode traversal. Wind magnitude and direction dictate feasibility of straight-line traversal because Lift+Cruise aircraft point into the relative wind direction while hovering but also have a maximum heading rate constraint. Energy and power use for an experimentally validated QuadPlane small eVTOL aircraft are characterized with respect to airspeed and acceleration in all flight modes. Optimal QuadPlane traversals are presented. Constraints on acceleration and wind are derived for straight-line QuadPlane traversal. Results show an optimal QuadPlane $500m$ traversal between hover waypoints saves $71\\%$ energy compared to pure vertical flight traversal for a representative case study with a direct $4m/s$ crosswind. Energy optimal eVTOL direct trajectory definition with transitions to and from hover is novel to this work. Future work should model three-dimensional flight and wind as well as optimize maneuver primitives when required.","url":"https://doi.org/10.48550/arxiv.2411.08661","authors":["Mathur, Akshay","Atkins, Ella"],"tags":["Robotics (cs.RO)","FOS: Computer and information sciences","FOS: Computer and information sciences"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.48550/arxiv.2411.08661","addedAt":"2026-08-31T06:39:37.633Z","updatedAt":"2026-08-31T06:39:37.633Z"},{"id":"doi:10.5281/zenodo.13968751","name":"Aerodynamic interaction between tandem propellers in eVTOL transition flight configurations","source":"datacite","abstract":"The present study investigates the aerodynamic interactions in a tandem propellers configuration typical of a tilt-wing eVTOL aircraft during the transition manoeuvre. Particular focus is on how the relative position and the propeller’s tilting angle influence the aerodynamic performance. A systematic series of wind tunnel tests, including thrust and torque measurements with Particle Image Velocimetry (PIV) surveys, were performed on two co-rotating propellers models with fixed axial distance while the propellers tilting angle and the lateral separation distance were changed. The comprehensive wind tunnel campaign explored all the phases of the transition from take-off to cruise, thus highlighting possible detrimental effects on the multi-rotor system due to aerodynamic interactional mechanisms occurring due to front propeller impingement on rear propeller disks. To achieve detailed insights into the physical comprehension of the complex interactional effects produced on the rear propeller disk, the activity was completed by a numerical investigation performed through the mid-fidelity solver DUST, based on Vortex Particle Method for the wake modelling. From the perspective of a preliminary design phase of eVTOL concepts, this work showed that particular attention must be paid to the transition flight regime since both the tilting angle of attack of propellers and the free-stream velocity heavily affects the propulsive system behaviour. As a general outcome, higher vertical distances between propellers guarantee to reduce the performance losses on the rear propeller despite the presence of mutual interference phenomena.","url":"https://doi.org/10.5281/zenodo.13968751","authors":["Zanotti, Alex","Velo, Alessandro","Pepe, Chiara","Savino, Alberto","Grassi, Donato","Riccobene, Luca"],"tags":["Aerodynamics","Wind tunnel","Particle image velocimetry","Vortex particle method","eVTOL"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.5281/zenodo.13968751","addedAt":"2026-08-31T06:39:37.633Z","updatedAt":"2026-08-31T06:39:37.633Z"},{"id":"doi:10.5281/zenodo.13968750","name":"Aerodynamic interaction between tandem propellers in eVTOL transition flight configurations","source":"datacite","abstract":"The present study investigates the aerodynamic interactions in a tandem propellers configuration typical of a tilt-wing eVTOL aircraft during the transition manoeuvre. Particular focus is on how the relative position and the propeller’s tilting angle influence the aerodynamic performance. A systematic series of wind tunnel tests, including thrust and torque measurements with Particle Image Velocimetry (PIV) surveys, were performed on two co-rotating propellers models with fixed axial distance while the propellers tilting angle and the lateral separation distance were changed. The comprehensive wind tunnel campaign explored all the phases of the transition from take-off to cruise, thus highlighting possible detrimental effects on the multi-rotor system due to aerodynamic interactional mechanisms occurring due to front propeller impingement on rear propeller disks. To achieve detailed insights into the physical comprehension of the complex interactional effects produced on the rear propeller disk, the activity was completed by a numerical investigation performed through the mid-fidelity solver DUST, based on Vortex Particle Method for the wake modelling. From the perspective of a preliminary design phase of eVTOL concepts, this work showed that particular attention must be paid to the transition flight regime since both the tilting angle of attack of propellers and the free-stream velocity heavily affects the propulsive system behaviour. As a general outcome, higher vertical distances between propellers guarantee to reduce the performance losses on the rear propeller despite the presence of mutual interference phenomena.","url":"https://doi.org/10.5281/zenodo.13968750","authors":["Zanotti, Alex","Velo, Alessandro","Pepe, Chiara","Savino, Alberto","Grassi, Donato","Riccobene, Luca"],"tags":["Aerodynamics","Wind tunnel","Particle image velocimetry","Vortex particle method","eVTOL"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.5281/zenodo.13968750","addedAt":"2026-08-31T06:39:37.633Z","updatedAt":"2026-08-31T06:39:37.633Z"},{"id":"doi:10.5281/zenodo.13939685","name":"Experimental investigation of wing-propeller aerodynamic interaction in eVTOL configurations","source":"datacite","abstract":"The present study is aimed at the experimental investigation of the effects of wing-propeller aerodynamic interaction in a boom-mounted configuration typically used in eVTOL aircraft. The investigation was focused on the repercussions on wing and propeller performance coming from the variation of angle of attack, advance ratio and blades sense of rotation. Moreover, particular attention was devoted to the evaluation of the effect of the propeller’s longitudinal offset. Results of a comprehensive wind tunnel campaign performed on a propellermounted wing scaled model confirmed the advantageous effects of an inboard-up rotating propeller on lift generation and drag reduction, while outlined the opposite sensitivity of wing and propeller performances when exposed to a non-zero angle of attack. Propeller’s longitudinal offset instead led to slight alterations on wing and propeller aerodynamic performance, while a noteworthy sensitivity on the mounting setup was perceived by propeller aerodynamic performance. Moreover, PIV measurements allowed to evaluate quantitatively the effects of the investigated parameters on propeller slipstream behaviour and blade tip vortices pattern.","url":"https://doi.org/10.5281/zenodo.13939685","authors":["Zanotti, Alex","Menini, Luca","Savino, Alberto","Riccobene, Luca","Grassi, Donato"],"tags":["eVTOL","Aerodynamics","Particle Image Velocimetry","Wing-Propeller Interaction"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.5281/zenodo.13939685","addedAt":"2026-08-31T06:39:37.633Z","updatedAt":"2026-08-31T06:39:37.633Z"},{"id":"doi:10.5281/zenodo.13898638","name":"Experimental investigation of wing-propeller aerodynamic interaction in eVTOL configurations","source":"datacite","abstract":"The present study is aimed at the experimental investigation of the effects of wing-propeller aerodynamic interaction in a boom-mounted configuration typically used in eVTOL aircraft. The investigation was focused on the repercussions on wing and propeller performance coming from the variation of angle of attack, advance ratio and blades sense of rotation. Moreover, particular attention was devoted to the evaluation of the effect of the propeller’s longitudinal offset. Results of a comprehensive wind tunnel campaign performed on a propellermounted wing scaled model confirmed the advantageous effects of an inboard-up rotating propeller on lift generation and drag reduction, while outlined the opposite sensitivity of wing and propeller performances when exposed to a non-zero angle of attack. Propeller’s longitudinal offset instead led to slight alterations on wing and propeller aerodynamic performance, while a noteworthy sensitivity on the mounting setup was perceived by propeller aerodynamic performance. Moreover, PIV measurements allowed to evaluate quantitatively the effects of the investigated parameters on propeller slipstream behaviour and blade tip vortices pattern.","url":"https://doi.org/10.5281/zenodo.13898638","authors":["Zanotti, Alex","Menini, Luca","Savino, Alberto","Riccobene, Luca","Grassi, Donato"],"tags":["eVTOL","Aerodynamics","Particle Image Velocimetry","Wing-Propeller Interaction"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.5281/zenodo.13898638","addedAt":"2026-08-31T06:39:37.633Z","updatedAt":"2026-08-31T06:39:37.633Z"},{"id":"doi:10.5281/zenodo.13899419","name":"Experimental investigation of wing-propeller aerodynamic interaction in eVTOL configurations","source":"datacite","abstract":"The present study is aimed at the experimental investigation of the effects of wing-propeller aerodynamic interaction in a boom-mounted configuration typically used in eVTOL aircraft. The investigation was focused on the repercussions on wing and propeller performance coming from the variation of angle of attack, advance ratio and blades sense of rotation. Moreover, particular attention was devoted to the evaluation of the effect of the propeller’s longitudinal offset. Results of a comprehensive wind tunnel campaign performed on a propellermounted wing scaled model confirmed the advantageous effects of an inboard-up rotating propeller on lift generation and drag reduction, while outlined the opposite sensitivity of wing and propeller performances when exposed to a non-zero angle of attack. Propeller’s longitudinal offset instead led to slight alterations on wing and propeller aerodynamic performance, while a noteworthy sensitivity on the mounting setup was perceived by propeller aerodynamic performance. Moreover, PIV measurements allowed to evaluate quantitatively the effects of the investigated parameters on propeller slipstream behaviour and blade tip vortices pattern.","url":"https://doi.org/10.5281/zenodo.13899419","authors":["Zanotti, Alex","Menini, Luca","Savino, Alberto","Riccobene, Luca","Grassi, Donato"],"tags":["eVTOL","Aerodynamics","Particle Image Velocimetry","Wing-Propeller Interaction"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.5281/zenodo.13899419","addedAt":"2026-08-31T06:39:37.633Z","updatedAt":"2026-08-31T06:39:37.633Z"},{"id":"doi:10.5281/zenodo.13898639","name":"Experimental investigation of wing-propeller aerodynamic interaction in eVTOL configurations","source":"datacite","abstract":"The present study is aimed at the experimental investigation of the effects of wing-propeller aerodynamic interaction in a boom-mounted configuration typically used in eVTOL aircraft. The investigation was focused on the repercussions on wing and propeller performance coming from the variation of angle of attack, advance ratio and blades sense of rotation. Moreover, particular attention was devoted to the evaluation of the effect of the propeller’s longitudinal offset. Results of a comprehensive wind tunnel campaign performed on a propellermounted wing scaled model confirmed the advantageous effects of an inboard-up rotating propeller on lift generation and drag reduction, while outlined the opposite sensitivity of wing and propeller performances when exposed to a non-zero angle of attack. Propeller’s longitudinal offset instead led to slight alterations on wing and propeller aerodynamic performance, while a noteworthy sensitivity on the mounting setup was perceived by propeller aerodynamic performance. Moreover, PIV measurements allowed to evaluate quantitatively the effects of the investigated parameters on propeller slipstream behaviour and blade tip vortices pattern.","url":"https://doi.org/10.5281/zenodo.13898639","authors":["Zanotti, Alex","Menini, Luca","Savino, Alberto","Riccobene, Luca","Grassi, Donato"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.5281/zenodo.13898639","addedAt":"2026-08-31T06:39:37.633Z","updatedAt":"2026-08-31T06:39:37.633Z"},{"id":"doi:10.48550/arxiv.2403.18166","name":"Incentive-Compatible Vertiport Reservation in Advanced Air Mobility: An Auction-Based Approach","source":"datacite","abstract":"The rise of advanced air mobility (AAM) is expected to become a multibillion-dollar industry in the near future. Market-based mechanisms are touted to be an integral part of AAM operations, which comprise heterogeneous operators with private valuations. In this work, we study the problem of designing a mechanism to coordinate the movement of electric vertical take-off and landing (eVTOL) aircraft, operated by multiple operators each having heterogeneous valuations associated with their fleet, between vertiports, while enforcing the arrival, departure, and parking constraints at vertiports. Particularly, we propose an incentive-compatible and individually rational vertiport reservation mechanism that maximizes a social welfare metric, which encapsulates the objective of maximizing the overall valuations of all operators while minimizing the congestion at vertiports. Additionally, we improve the computational tractability of designing the reservation mechanism by proposing a mixed binary linear programming approach that leverages the network flow structure.","url":"https://doi.org/10.48550/arxiv.2403.18166","authors":["Su, Pan-Yang","Maheshwari, Chinmay","Tuck, Victoria","Sastry, Shankar"],"tags":["Systems and Control (eess.SY)","Multiagent Systems (cs.MA)","Theoretical Economics (econ.TH)","Optimization and Control (math.OC)","FOS: Electrical engineering, electronic engineering, information engineering","FOS: Electrical engineering, electronic engineering, information engineering","FOS: Computer and information sciences","FOS: Computer and information sciences"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.48550/arxiv.2403.18166","addedAt":"2026-08-31T06:39:37.633Z","updatedAt":"2026-08-31T06:39:37.633Z"},{"id":"doi:10.5281/zenodo.13836066","name":"Urban Air Mobility Operations: Evaluating Exposure to Lightning Strikes","source":"datacite","abstract":"The escalating demand for innovative modes of commuting within sprawling urban conglomerations has spurred the necessity for new transportation services. Predominantly utilizing electric Vertical Takeoff and Landing (eVTOL) technology, Urban Air Mobility (UAM) envisages operations at lower altitudes and speeds, facilitating connectivity between vertiports across cities or acting as shuttles linking various points within airports. UAM is subjected to rigorous regulatory scrutiny, reflecting the innovative characteristics inherent in its design. An important concern in regulatory considerations is the effect of the atmospheric electric environment on UAM operations. Notably, the eVTOL requires a lightweight design to meet operational viability, constrained by the weight limitations imposed by its electric motors. Using primarily composite materials for its construction results in a lighter structure, albeit offering a distinct level of lightning protection compared to metallic structures. Given the multiple challenges and complexities inherent in its operation, understanding the electrical environment where the eVTOL will operate in cities is of great value. In urban areas, aerosols and heat islands enhance lightning activity by intensifying the severity of thunderstorms. Therefore, the trajectory of UAM flights will require navigating around cumulonimbus clouds and associated convective structures, which pose a significant risk of lightning incidence and strong wind gusts. Based on these considerations, this work investigates how urban atmospheric environments affect the operation of eVTOLs by analyzing lightning strike probabilities in dense cityscapes. Through a literature review and theoretical frameworks, the study examines the regulatory landscape, technological constraints, and environmental characteristics to assess this critical aspect of UAM safety and contribute to the ongoing discussion on UAM, specifically concerning lightning exposure and possible strategies to mitigate incidents and/or accidents.","url":"https://doi.org/10.5281/zenodo.13836066","authors":["Fernandes Ledema, Evandro","Pinheiro Naccarato, Kleber","Guimarães Sousa, Marina"],"tags":["UAM","eVTOL","lightning","urban electrical enviroment","aircraft design"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.5281/zenodo.13836066","addedAt":"2026-08-31T06:39:37.633Z","updatedAt":"2026-08-31T06:39:57.286Z"},{"id":"doi:10.5281/zenodo.13836065","name":"Urban Air Mobility Operations: Evaluating Exposure to Lightning Strikes","source":"datacite","abstract":"The escalating demand for innovative modes of commuting within sprawling urban conglomerations has spurred the necessity for new transportation services. Predominantly utilizing electric Vertical Takeoff and Landing (eVTOL) technology, Urban Air Mobility (UAM) envisages operations at lower altitudes and speeds, facilitating connectivity between vertiports across cities or acting as shuttles linking various points within airports. UAM is subjected to rigorous regulatory scrutiny, reflecting the innovative characteristics inherent in its design. An important concern in regulatory considerations is the effect of the atmospheric electric environment on UAM operations. Notably, the eVTOL requires a lightweight design to meet operational viability, constrained by the weight limitations imposed by its electric motors. Using primarily composite materials for its construction results in a lighter structure, albeit offering a distinct level of lightning protection compared to metallic structures. Given the multiple challenges and complexities inherent in its operation, understanding the electrical environment where the eVTOL will operate in cities is of great value. In urban areas, aerosols and heat islands enhance lightning activity by intensifying the severity of thunderstorms. Therefore, the trajectory of UAM flights will require navigating around cumulonimbus clouds and associated convective structures, which pose a significant risk of lightning incidence and strong wind gusts. Based on these considerations, this work investigates how urban atmospheric environments affect the operation of eVTOLs by analyzing lightning strike probabilities in dense cityscapes. Through a literature review and theoretical frameworks, the study examines the regulatory landscape, technological constraints, and environmental characteristics to assess this critical aspect of UAM safety and contribute to the ongoing discussion on UAM, specifically concerning lightning exposure and possible strategies to mitigate incidents and/or accidents.","url":"https://doi.org/10.5281/zenodo.13836065","authors":["Fernandes Ledema, Evandro","Pinheiro Naccarato, Kleber","Guimarães Sousa, Marina"],"tags":["UAM","eVTOL","lightning","urban electrical enviroment","aircraft design"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.5281/zenodo.13836065","addedAt":"2026-08-31T06:39:37.633Z","updatedAt":"2026-08-31T06:39:57.286Z"},{"id":"doi:10.5281/zenodo.13836044","name":"Urban Air Mobility Operations: Evaluating Exposure to Lightning Strikes","source":"datacite","abstract":"The escalating demand for innovative modes of commuting within sprawling urban conglomerations has spurred the necessity for new transportation services. Predominantly utilizing electric Vertical Takeoff and Landing (eVTOL) technology, Urban Air Mobility (UAM) envisages operations at lower altitudes and speeds, facilitating connectivity between vertiports across cities or acting as shuttles linking various points within airports. UAM is subjected to rigorous regulatory scrutiny, reflecting the innovative characteristics inherent in its design. An important concern in regulatory considerations is the effect of the atmospheric electric environment on UAM operations. Notably, the eVTOL requires a lightweight design to meet operational viability, constrained by the weight limitations imposed by its electric motors. Using primarily composite materials for its construction results in a lighter structure, albeit offering a distinct level of lightning protection compared to metallic structures. Given the multiple challenges and complexities inherent in its operation, understanding the electrical environment where the eVTOL will operate in cities is of great value. In urban areas, aerosols and heat islands enhance lightning activity by intensifying the severity of thunderstorms. Therefore, the trajectory of UAM flights will require navigating around cumulonimbus clouds and associated convective structures, which pose a significant risk of lightning incidence and strong wind gusts. Based on these considerations, this work investigates how urban atmospheric environments affect the operation of eVTOLs by analyzing lightning strike probabilities in dense cityscapes. Through a literature review and theoretical frameworks, the study examines the regulatory landscape, technological constraints, and environmental characteristics to assess this critical aspect of UAM safety and contribute to the ongoing discussion on UAM, specifically concerning lightning exposure and possible strategies to mitigate incidents and/or accidents.","url":"https://doi.org/10.5281/zenodo.13836044","authors":["Pinheiro Naccarato, Kleber","Guimarães Sousa, Marina","Fernandes Ledema, Evandro"],"tags":["UAM","eVTOL","lightning","urban electrical environment","aircraft design","urban air mobility"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.5281/zenodo.13836044","addedAt":"2026-08-31T06:39:37.633Z","updatedAt":"2026-08-31T06:39:57.286Z"},{"id":"doi:10.5281/zenodo.13836043","name":"Urban Air Mobility Operations: Evaluating Exposure to Lightning Strikes","source":"datacite","abstract":"The escalating demand for innovative modes of commuting within sprawling urban conglomerations has spurred the necessity for new transportation services. Predominantly utilizing electric Vertical Takeoff and Landing (eVTOL) technology, Urban Air Mobility (UAM) envisages operations at lower altitudes and speeds, facilitating connectivity between vertiports across cities or acting as shuttles linking various points within airports. UAM is subjected to rigorous regulatory scrutiny, reflecting the innovative characteristics inherent in its design. An important concern in regulatory considerations is the effect of the atmospheric electric environment on UAM operations. Notably, the eVTOL requires a lightweight design to meet operational viability, constrained by the weight limitations imposed by its electric motors. Using primarily composite materials for its construction results in a lighter structure, albeit offering a distinct level of lightning protection compared to metallic structures. Given the multiple challenges and complexities inherent in its operation, understanding the electrical environment where the eVTOL will operate in cities is of great value. In urban areas, aerosols and heat islands enhance lightning activity by intensifying the severity of thunderstorms. Therefore, the trajectory of UAM flights will require navigating around cumulonimbus clouds and associated convective structures, which pose a significant risk of lightning incidence and strong wind gusts. Based on these considerations, this work investigates how urban atmospheric environments affect the operation of eVTOLs by analyzing lightning strike probabilities in dense cityscapes. Through a literature review and theoretical frameworks, the study examines the regulatory landscape, technological constraints, and environmental characteristics to assess this critical aspect of UAM safety and contribute to the ongoing discussion on UAM, specifically concerning lightning exposure and possible strategies to mitigate incidents and/or accidents.","url":"https://doi.org/10.5281/zenodo.13836043","authors":["Pinheiro Naccarato, Kleber","Guimarães Sousa, Marina","Fernandes Ledema, Evandro"],"tags":["UAM","eVTOL","lightning","urban electrical environment","aircraft design","urban air mobility"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.5281/zenodo.13836043","addedAt":"2026-08-31T06:39:37.633Z","updatedAt":"2026-08-31T06:39:57.286Z"},{"id":"doi:10.5281/zenodo.13753061","name":"The Fast Tracks","source":"datacite","abstract":"The Fast Tracks: Navigating the Future of Transportation In an era marked by rapid technological advancements and evolving urban landscapes, the concept of high-speed travel has never been more pertinent. Enter \"The Fast Tracks\"—a visionary approach to transforming how we move from point A to point B, blending cutting-edge technology with the pressing need for sustainability. This article delves into the innovative world of fast tracks, exploring their potential impacts on our cities, economies, and daily lives. The Rise of High-Speed Transportation The idea of speeding up travel isn't new; from the steam engine to the Concorde, humanity has always sought to break speed barriers. However, recent developments in technology have opened up exciting new possibilities. The Fast Tracks initiative aims to redefine speed and efficiency in transportation through several key innovations: Maglev Trains: Magnetic levitation (maglev) technology eliminates friction by floating trains on a magnetic field. This allows for incredibly high speeds—up to 374 mph (600 km/h) in some cases—while also offering a quieter, smoother ride. Countries like China and Japan are already pioneering maglev systems, which are set to revolutionize long-distance travel. Hyperloop Systems: Popularized by Elon Musk, the Hyperloop is a proposed high-speed transportation system where pods travel through low-pressure tubes at speeds exceeding 600 mph (970 km/h). The concept promises not only rapid transit but also reduced energy consumption and lower environmental impact compared to traditional modes of transportation. Electric Air Taxis: The rise of electric vertical takeoff and landing (eVTOL) aircraft could transform urban mobility. These air taxis, which are still in development stages, aim to provide fast, efficient, and eco-friendly travel across congested urban areas, reducing traffic and pollution. ➲➲Click Here➲Official Website➲Huge Discount","url":"https://doi.org/10.5281/zenodo.13753061","authors":["roy, hojerropnn"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.5281/zenodo.13753061","addedAt":"2026-08-31T06:39:37.633Z","updatedAt":"2026-08-31T06:39:37.633Z"},{"id":"doi:10.5281/zenodo.13753063","name":"On The Fast Tracks: The Evolution of High-Speed Transportation**","source":"datacite","abstract":"The Fast Tracks: Navigating the Future of Transportation In an era marked by rapid technological advancements and evolving urban landscapes, the concept of high-speed travel has never been more pertinent. Enter \"The Fast Tracks\"—a visionary approach to transforming how we move from point A to point B, blending cutting-edge technology with the pressing need for sustainability. This article delves into the innovative world of fast tracks, exploring their potential impacts on our cities, economies, and daily lives. The Rise of High-Speed Transportation The idea of speeding up travel isn't new; from the steam engine to the Concorde, humanity has always sought to break speed barriers. However, recent developments in technology have opened up exciting new possibilities. The Fast Tracks initiative aims to redefine speed and efficiency in transportation through several key innovations: Maglev Trains: Magnetic levitation (maglev) technology eliminates friction by floating trains on a magnetic field. This allows for incredibly high speeds—up to 374 mph (600 km/h) in some cases—while also offering a quieter, smoother ride. Countries like China and Japan are already pioneering maglev systems, which are set to revolutionize long-distance travel. Hyperloop Systems: Popularized by Elon Musk, the Hyperloop is a proposed high-speed transportation system where pods travel through low-pressure tubes at speeds exceeding 600 mph (970 km/h). The concept promises not only rapid transit but also reduced energy consumption and lower environmental impact compared to traditional modes of transportation. Electric Air Taxis: The rise of electric vertical takeoff and landing (eVTOL) aircraft could transform urban mobility. These air taxis, which are still in development stages, aim to provide fast, efficient, and eco-friendly travel across congested urban areas, reducing traffic and pollution. ➲➲Click Here➲Official Website➲Huge Discount Impact on Urban Landscapes The introduction of fast tracks could have profound implications for urban planning and development: Decreased Commute Times: Imagine commuting from one city to another in a fraction of the time it currently takes. This could lead to a significant shift in how people live and work, potentially revitalizing smaller towns and spreading economic activity more evenly. Reduced Traffic Congestion: With the rise of high-speed transportation options, there could be a decrease in the reliance on personal vehicles, alleviating traffic congestion in major cities and reducing the strain on existing infrastructure. Sustainable Development: Many fast track technologies prioritize energy efficiency and sustainability. For instance, maglev trains and Hyperloop systems aim to minimize environmental impact, contributing to broader efforts to combat climate change. Economic and Social Implications The economic benefits of fast tracks are vast. They could stimulate job creation in technology and infrastructure sectors, boost tourism, and enhance global business connectivity. Socially, the ability to travel quickly and efficiently can foster greater cultural exchange and collaborative opportunities across regions. However, these advancements come with challenges. High costs of development and implementation, potential disruptions to existing industries, and the need for new regulations are all factors that need careful consideration. Ensuring equitable access to these technologies and addressing potential social disparities are also crucial for their successful integration. ➲➲Click Here➲Official Website➲Huge Discount Looking Ahead As we stand on the cusp of a new era in transportation, The Fast Tracks initiative represents both a promise and a challenge. The pursuit of faster, more efficient, and sustainable travel solutions aligns with our collective aspirations for a connected and thriving world. By investing in and embracing these innovations, we have the opportunity to reshape our future, making the dream of rapid","url":"https://doi.org/10.5281/zenodo.13753063","authors":["roy, hojerropnn"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.5281/zenodo.13753063","addedAt":"2026-08-31T06:39:37.633Z","updatedAt":"2026-08-31T06:39:37.633Z"},{"id":"doi:10.5281/zenodo.13753059","name":"The Fast Tracks: The Future of Speed and Efficiency in Travel**","source":"datacite","abstract":"The Fast Tracks: Navigating the Future of Transportation In an era marked by rapid technological advancements and evolving urban landscapes, the concept of high-speed travel has never been more pertinent. Enter \"The Fast Tracks\"—a visionary approach to transforming how we move from point A to point B, blending cutting-edge technology with the pressing need for sustainability. This article delves into the innovative world of fast tracks, exploring their potential impacts on our cities, economies, and daily lives. The Rise of High-Speed Transportation The idea of speeding up travel isn't new; from the steam engine to the Concorde, humanity has always sought to break speed barriers. However, recent developments in technology have opened up exciting new possibilities. The Fast Tracks initiative aims to redefine speed and efficiency in transportation through several key innovations: Maglev Trains: Magnetic levitation (maglev) technology eliminates friction by floating trains on a magnetic field. This allows for incredibly high speeds—up to 374 mph (600 km/h) in some cases—while also offering a quieter, smoother ride. Countries like China and Japan are already pioneering maglev systems, which are set to revolutionize long-distance travel. Hyperloop Systems: Popularized by Elon Musk, the Hyperloop is a proposed high-speed transportation system where pods travel through low-pressure tubes at speeds exceeding 600 mph (970 km/h). The concept promises not only rapid transit but also reduced energy consumption and lower environmental impact compared to traditional modes of transportation. Electric Air Taxis: The rise of electric vertical takeoff and landing (eVTOL) aircraft could transform urban mobility. These air taxis, which are still in development stages, aim to provide fast, efficient, and eco-friendly travel across congested urban areas, reducing traffic and pollution. ➲➲Click Here➲Official Website➲Huge Discount","url":"https://doi.org/10.5281/zenodo.13753059","authors":["roy, hojerropnn"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.5281/zenodo.13753059","addedAt":"2026-08-31T06:39:37.633Z","updatedAt":"2026-08-31T06:39:37.633Z"},{"id":"doi:10.5281/zenodo.13753057","name":"The Fast Tracks: Revolutionizing Modern Transportation**","source":"datacite","abstract":"The Fast Tracks: Navigating the Future of Transportation In an era marked by rapid technological advancements and evolving urban landscapes, the concept of high-speed travel has never been more pertinent. Enter \"The Fast Tracks\"—a visionary approach to transforming how we move from point A to point B, blending cutting-edge technology with the pressing need for sustainability. This article delves into the innovative world of fast tracks, exploring their potential impacts on our cities, economies, and daily lives. The Rise of High-Speed Transportation The idea of speeding up travel isn't new; from the steam engine to the Concorde, humanity has always sought to break speed barriers. However, recent developments in technology have opened up exciting new possibilities. The Fast Tracks initiative aims to redefine speed and efficiency in transportation through several key innovations: Maglev Trains: Magnetic levitation (maglev) technology eliminates friction by floating trains on a magnetic field. This allows for incredibly high speeds—up to 374 mph (600 km/h) in some cases—while also offering a quieter, smoother ride. Countries like China and Japan are already pioneering maglev systems, which are set to revolutionize long-distance travel. Hyperloop Systems: Popularized by Elon Musk, the Hyperloop is a proposed high-speed transportation system where pods travel through low-pressure tubes at speeds exceeding 600 mph (970 km/h). The concept promises not only rapid transit but also reduced energy consumption and lower environmental impact compared to traditional modes of transportation. Electric Air Taxis: The rise of electric vertical takeoff and landing (eVTOL) aircraft could transform urban mobility. These air taxis, which are still in development stages, aim to provide fast, efficient, and eco-friendly travel across congested urban areas, reducing traffic and pollution. ➲➲Click Here➲Official Website➲Huge Discount","url":"https://doi.org/10.5281/zenodo.13753057","authors":["roy, hojerropnn"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.5281/zenodo.13753057","addedAt":"2026-08-31T06:39:37.633Z","updatedAt":"2026-08-31T06:39:37.633Z"},{"id":"doi:10.5281/zenodo.13753065","name":"The Fast Tracks: Transforming How We Move with Cutting-Edge Technology**","source":"datacite","abstract":"The Fast Tracks: Navigating the Future of Transportation In an era marked by rapid technological advancements and evolving urban landscapes, the concept of high-speed travel has never been more pertinent. Enter \"The Fast Tracks\"—a visionary approach to transforming how we move from point A to point B, blending cutting-edge technology with the pressing need for sustainability. This article delves into the innovative world of fast tracks, exploring their potential impacts on our cities, economies, and daily lives. The Rise of High-Speed Transportation The idea of speeding up travel isn't new; from the steam engine to the Concorde, humanity has always sought to break speed barriers. However, recent developments in technology have opened up exciting new possibilities. The Fast Tracks initiative aims to redefine speed and efficiency in transportation through several key innovations: Maglev Trains: Magnetic levitation (maglev) technology eliminates friction by floating trains on a magnetic field. This allows for incredibly high speeds—up to 374 mph (600 km/h) in some cases—while also offering a quieter, smoother ride. Countries like China and Japan are already pioneering maglev systems, which are set to revolutionize long-distance travel. Hyperloop Systems: Popularized by Elon Musk, the Hyperloop is a proposed high-speed transportation system where pods travel through low-pressure tubes at speeds exceeding 600 mph (970 km/h). The concept promises not only rapid transit but also reduced energy consumption and lower environmental impact compared to traditional modes of transportation. Electric Air Taxis: The rise of electric vertical takeoff and landing (eVTOL) aircraft could transform urban mobility. These air taxis, which are still in development stages, aim to provide fast, efficient, and eco-friendly travel across congested urban areas, reducing traffic and pollution. ➲➲Click Here➲Official Website➲Huge Discount Impact on Urban Landscapes The introduction of fast tracks could have profound implications for urban planning and development: Decreased Commute Times: Imagine commuting from one city to another in a fraction of the time it currently takes. This could lead to a significant shift in how people live and work, potentially revitalizing smaller towns and spreading economic activity more evenly. Reduced Traffic Congestion: With the rise of high-speed transportation options, there could be a decrease in the reliance on personal vehicles, alleviating traffic congestion in major cities and reducing the strain on existing infrastructure. Sustainable Development: Many fast track technologies prioritize energy efficiency and sustainability. For instance, maglev trains and Hyperloop systems aim to minimize environmental impact, contributing to broader efforts to combat climate change. Economic and Social Implications The economic benefits of fast tracks are vast. They could stimulate job creation in technology and infrastructure sectors, boost tourism, and enhance global business connectivity. Socially, the ability to travel quickly and efficiently can foster greater cultural exchange and collaborative opportunities across regions. However, these advancements come with challenges. High costs of development and implementation, potential disruptions to existing industries, and the need for new regulations are all factors that need careful consideration. Ensuring equitable access to these technologies and addressing potential social disparities are also crucial for their successful integration. ➲➲Click Here➲Official Website➲Huge Discount Looking Ahead As we stand on the cusp of a new era in transportation, The Fast Tracks initiative represents both a promise and a challenge. The pursuit of faster, more efficient, and sustainable travel solutions aligns with our collective aspirations for a connected and thriving world. By investing in and embracing these innovations, we have the opportunity to reshape our future, making the dream of rapid","url":"https://doi.org/10.5281/zenodo.13753065","authors":["roy, hojerropnn","roy, hojerropnn"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.5281/zenodo.13753065","addedAt":"2026-08-31T06:39:37.633Z","updatedAt":"2026-08-31T06:39:37.633Z"},{"id":"doi:10.48550/arxiv.2408.07926","name":"Enhanced Equivalent Circuit Model for High Current Discharge of Lithium-Ion Batteries with Application to Electric Vertical Takeoff and Landing Aircraft","source":"datacite","abstract":"Conventional battery equivalent circuit models (ECMs) have limited capability to predict performance at high discharge rates, where lithium depleted regions may develop and cause a sudden exponential drop in the cell's terminal voltage. Having accurate predictions of performance under such conditions is necessary for electric vertical takeoff and landing (eVTOL) aircraft applications, where high discharge currents can be required during fault scenarios and the inability to provide these currents can be safety-critical. To address this challenge, we utilize data-driven modeling methods to derive a parsimonious addition to a conventional ECM that can capture the observed rapid voltage drop with only one additional state. We also provide a detailed method for identifying the resulting model parameters, including an extensive characterization data set along with a well-regularized objective function formulation. The model is validated against a novel data set of over 150 flights encompassing a wide array of conditions for an eVTOL aircraft using an application-specific and safety-relevant reserve duration metric for quantifying accuracy. The model is shown to predict the landing hover capability with an error mean and standard deviation of 2.9 and 6.2 seconds, respectively, defining the model's ability to capture the cell voltage behavior under high discharge currents.","url":"https://doi.org/10.48550/arxiv.2408.07926","authors":["Goshtasbi, Alireza","Zhao, Ruxiu","Wang, Ruiting","Han, Sangwoo","Ma, Wenting","Neubauer, Jeremy"],"tags":["Systems and Control (eess.SY)","FOS: Electrical engineering, electronic engineering, information engineering","FOS: Electrical engineering, electronic engineering, information engineering"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.48550/arxiv.2408.07926","addedAt":"2026-08-31T06:39:37.633Z","updatedAt":"2026-08-31T06:39:37.633Z"},{"id":"doi:10.48550/arxiv.2404.03710","name":"Self-organized free-flight arrival for urban air mobility","source":"datacite","abstract":"Urban air mobility is an innovative mode of transportation in which electric vertical takeoff and landing (eVTOL) vehicles operate between nodes called vertiports. We outline a self-organized vertiport arrival system based on deep reinforcement learning. The airspace around the vertiport is assumed to be circular, and the vehicles can freely operate inside. Each aircraft is considered an individual agent and follows a shared policy, resulting in decentralized actions that are based on local information. We investigate the development of the reinforcement learning policy during training and illustrate how the algorithm moves from suboptimal local holding patterns to a safe and efficient final policy. The latter is validated in simulation-based scenarios, including robustness analyses against sensor noise and a changing distribution of inbound traffic. Lastly, we deploy the final policy on small-scale unmanned aerial vehicles to showcase its real-world usability.","url":"https://doi.org/10.48550/arxiv.2404.03710","authors":["Waltz, Martin","Okhrin, Ostap","Schultz, Michael"],"tags":["Machine Learning (cs.LG)","Artificial Intelligence (cs.AI)","FOS: Computer and information sciences","FOS: Computer and information sciences"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.48550/arxiv.2404.03710","addedAt":"2026-08-31T06:39:37.633Z","updatedAt":"2026-08-31T06:39:37.633Z"},{"id":"doi:10.48550/arxiv.2406.17516","name":"Optimal DC-link Voltage from Weight and Loss Perspective for eVTOLs","source":"datacite","abstract":"Electric vertical takeoff and landing (eVTOL) aircraft are emerging as a modern transportation solution aimed at reducing urban traffic congestion and improving the carbon footprint. The power architecture in eVTOLs is defined by the dc bus formed by the battery packs and the power converter used to drive eVTOL motors. A high dc bus voltage is preferred for the power architecture since it can reduce the weight of power cables for a given power rating. However, the impact of high dc bus voltage on the efficiency of the drivetrain power converter must be considered, since reduced efficiency leads to poor battery pack utilization. In this paper, a systematic optimization study is performed considering SiC-based inverter for the drivetrain power converter. Optimal value of dc bus voltage is determined considering the flight profile of eVTOLs. A power converter topology is proposed that can provide optimal performance and enhance the lifetime of the batteries along with providing better monitoring, diagnostics and protection. The optimization strategy is validated experimentally, demonstrating the proposed power architecture's ability to maximize efficiency while enhancing the safety of the battery energy storage system in eVTOLs.","url":"https://doi.org/10.48550/arxiv.2406.17516","authors":["Kulkarni, Abhijit","Thiringer, Torbjörn","Teodorescu, Remus"],"tags":["Systems and Control (eess.SY)","FOS: Electrical engineering, electronic engineering, information engineering","FOS: Electrical engineering, electronic engineering, information engineering"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.48550/arxiv.2406.17516","addedAt":"2026-08-31T06:39:37.633Z","updatedAt":"2026-08-31T06:39:37.633Z"},{"id":"doi:10.48730/gavn-av36","name":"Resilient power and propulsion system design for eVTOL aircraft","source":"datacite","abstract":"","url":"https://doi.org/10.48730/gavn-av36","authors":["Altouq, Shadan"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.48730/gavn-av36","addedAt":"2026-08-31T06:39:37.633Z","updatedAt":"2026-08-31T06:39:37.633Z"},{"id":"doi:10.34849/g4vf-e910","name":"Review and comparative analysis of various hybridization strategies for energy management in eVTOL aircraft","source":"datacite","abstract":"","url":"https://doi.org/10.34849/g4vf-e910","authors":["Najjar, Afef","Taghbalout, Meryem","Boularas, Abderrahmane","Bareille, Michel","Hennane, Youssef","Fritz, Florian"],"tags":["Electric aircraft"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.34849/g4vf-e910","addedAt":"2026-08-31T06:39:37.633Z","updatedAt":"2026-08-31T06:39:38.385Z"},{"id":"doi:10.48550/arxiv.2404.09621","name":"AAM-VDT: Vehicle Digital Twin for Tele-Operations in Advanced Air Mobility","source":"datacite","abstract":"This study advanced tele-operations in Advanced Air Mobility (AAM) through the creation of a Vehicle Digital Twin (VDT) system for eVTOL aircraft, tailored to enhance remote control safety and efficiency, especially for Beyond Visual Line of Sight (BVLOS) operations. By synergizing digital twin technology with immersive Virtual Reality (VR) interfaces, we notably elevate situational awareness and control precision for remote operators. Our VDT framework integrates immersive tele-operation with a high-fidelity aerodynamic database, essential for authentically simulating flight dynamics and control tactics. At the heart of our methodology lies an eVTOL's high-fidelity digital replica, placed within a simulated reality that accurately reflects physical laws, enabling operators to manage the aircraft via a master-slave dynamic, substantially outperforming traditional 2D interfaces. The architecture of the designed system ensures seamless interaction between the operator, the digital twin, and the actual aircraft, facilitating exact, instantaneous feedback. Experimental assessments, involving propulsion data gathering, simulation database fidelity verification, and tele-operation testing, verify the system's capability in precise control command transmission and maintaining the digital-physical eVTOL synchronization. Our findings underscore the VDT system's potential in augmenting AAM efficiency and safety, paving the way for broader digital twin application in autonomous aerial vehicles.","url":"https://doi.org/10.48550/arxiv.2404.09621","authors":["Nguyen, Tuan Anh","Kwag, Taeho","Pham, Vinh","Nguyen, Viet Nghia","Hyun, Jeongseok","Jang, Minseok","Lee, Jae-Woo"],"tags":["Systems and Control (eess.SY)","Emerging Technologies (cs.ET)","Human-Computer Interaction (cs.HC)","Robotics (cs.RO)","FOS: Electrical engineering, electronic engineering, information engineering","FOS: Electrical engineering, electronic engineering, information engineering","FOS: Computer and information sciences","FOS: Computer and information sciences"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.48550/arxiv.2404.09621","addedAt":"2026-08-31T06:39:37.633Z","updatedAt":"2026-08-31T06:39:37.633Z"},{"id":"doi:10.48550/arxiv.2403.14877","name":"TEeVTOL: Balancing Energy and Time Efficiency in eVTOL Aircraft Path Planning Across City-Scale Wind Fields","source":"datacite","abstract":"Electric vertical-takeoff and landing (eVTOL) aircraft, recognized for their maneuverability and flexibility, offer a promising alternative to our transportation system. However, the operational effectiveness of these aircraft faces many challenges, such as the delicate balance between energy and time efficiency, stemming from unpredictable environmental factors, including wind fields. Mathematical modeling-based approaches have been adopted to plan aircraft flight path in urban wind fields with the goal to save energy and time costs. While effective, they are limited in adapting to dynamic and complex environments. To optimize energy and time efficiency in eVTOL's flight through dynamic wind fields, we introduce a novel path planning method leveraging deep reinforcement learning. We assess our method with extensive experiments, comparing it to Dijkstra's algorithm -- the theoretically optimal approach for determining shortest paths in a weighted graph, where weights represent either energy or time cost. The results show that our method achieves a graceful balance between energy and time efficiency, closely resembling the theoretically optimal values for both objectives.","url":"https://doi.org/10.48550/arxiv.2403.14877","authors":["Liu, Songyang","Li, Shuai","Li, Haochen","Li, Weizi","Tan, Jindong"],"tags":["Robotics (cs.RO)","FOS: Computer and information sciences","FOS: Computer and information sciences"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.48550/arxiv.2403.14877","addedAt":"2026-08-31T06:39:37.633Z","updatedAt":"2026-08-31T06:39:37.633Z"},{"id":"doi:10.25967/550050","name":"It's a Long Way Up: Quantifying Opportunities and Hurdles for VTOL Manufacturers","source":"datacite","abstract":"This research aims to create a transparent ranking mechanism for eVTOL manufacturers using measures and factors based on evidence from the relevant fields rather than cost proxies or algorithmic black boxes. Two factor groups that are essential when discussing firm survival are considered for the ranking mechanism: technology and certification as well as operational capabilities and resources. The main aim of the technology and certification group is to determine the gap between performance claims established by an eVTOL manufacturer and expected performance calculated with a fast, low-fidelity assessment method considering available vehicle input parameters and state-of-the-art technology assumptions. Further factors include the technology readiness level and the certification progress. In terms of operational capability and resources, we look towards knowledge captured by e.g. network diversity, entrepreneurial knowledge or initiative participation, as well as financial resources such as funding, stock exchange or the number of investors. A delphi study allows us to derive weighting factors to include the relevance of the various factor in the calculation of the overall index. Using the described ranking mechanism, Joby and Volocopter achieve the highest scores and thus have the highest probability of developing their aircraft to market readiness.","url":"https://doi.org/10.25967/550050","authors":["Schaumeier, J.","Shamiyeh, M.","Straubinger, A."],"tags":["Urban Air Mobility","UAM","VTOL","technology progress","operational capabilities","market opportunities"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2021","doi":"10.25967/550050","addedAt":"2026-08-31T06:39:37.633Z","updatedAt":"2026-08-31T06:39:37.633Z"},{"id":"doi:10.13016/dspace/plnz-ckyz","name":"Aeroacoustic Implications of Installed Propeller Interactional Aerodynamics and Transient Propeller Motions","source":"datacite","abstract":"The emergence of advanced air mobility and sustainable aviation concepts have revived the interest in propeller-driven aircraft. A number of electric vertical take-off and landing (eVTOL) aircraft have been developed to cater to the demands of urban air mobility (UAM) and significant advancements have been made in unmanned aerial vehicles (UAV) equipped with vertical take-off and landing capabilities. However, the community acceptance of these new aircraft configurations highly depends on having a low noise footprint as they will operate in dense urban environments. Propeller noise is considered the major source of noise in these aircraft with the introduction of electric propulsion and it can significantly increase with the effects of installation and transient propeller motions. This study aims to comprehend the complex aerodynamic interactions within such aircraft that result from propeller installation and contribute to the generation of high noise levels. To understand the physics of propeller installation, a wingtip-mounted propeller was analyzed at several angles of attack using computational fluid dynamics (CFD) based on Reynolds-averaged Navier-Stokes (RANS) equations and computational aeroacoustics based on the Ffowcs Williams - Hawkings equation. The aeroacoustic implications of the propeller axis inclination and the propeller-wing aerodynamic interaction were studied in-depth. The propeller-wing interaction leads to a significant increase in propeller noise (~20 to 30 dB increase along the rotational axis) and causes the wing to generate a loading noise in the same order of magnitude as the propeller noise. To extrapolate the understanding of installation effects to a full aircraft, the aeroacoustic characteristics of a quadrotor biplane tailsitter were analyzed in both hover and forward flight focusing on the rotor-rotor and rotor-airframe aerodynamic interaction. The rotor-rotor interaction was found to be a significant source of loading noise in hover but having the fuselage as a physical barrier between the rotors largely reduces its effect. The airframe loading noise and rotor broadband noise are equally dominant as the rotor tonal noise when the aircraft is in forward flight. Moreover, the study evaluated the effectiveness of rotor synchrophasing in reducing the aircraft noise footprint and it showed promising results in hover, causing a reduction of aircraft noise by more than 10 dB. Furthermore, an efficient computational aeroacoustics framework was developed to facilitate the computations, ensuring optimal utilization of the computational resources. The CPU and GPU parallelization and other optimization techniques were able to achieve a 98% reduction in computation time for an isolated propeller case. This enabled the rapid aeroacoustic computations of periodic and non-periodic problems. This was used to analyze the aeroacoustics of an isolated propeller undergoing a transition from hover to forward flight. The aerodynamic and acoustic results of the unsteady case were compared with quasi-steady cases performed at intermediate tilt angles. The quasi-steady CFD simulations predicted the unsteady transition aeroacoustics with reasonable accuracy. A tilting quasi-steady approach was proposed to better capture the aerodynamics and acoustics of the unsteady transition.","url":"https://doi.org/10.13016/dspace/plnz-ckyz","authors":["Herath Mudiyanselage, Anjanaka Dilhara Jayasundara"],"tags":["Aerospace engineering","Acoustics","Aeroacoustics","Computational Fluid Dynamics","Interactional Aerodynamics","Propeller","Unmanned Aerial Vehicle"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2023","doi":"10.13016/dspace/plnz-ckyz","addedAt":"2026-08-31T06:39:37.633Z","updatedAt":"2026-08-31T06:39:37.633Z"},{"id":"doi:10.48550/arxiv.2312.10809","name":"Deep-Dispatch: A Deep Reinforcement Learning-Based Vehicle Dispatch Algorithm for Advanced Air Mobility","source":"datacite","abstract":"Near future air taxi operations with electric vertical take-off and landing (eVTOL) aircraft will be constrained by the need for frequent recharging of eVTOLs, limited takeoff and landing pads in vertiports, and subject to time-varying demand and electricity prices, making the eVTOL dispatch problem unique and particularly challenging to solve. Previously, we have developed optimization models to address this problem. Such optimization models however suffer from prohibitively high computational run times when the scale of the problem increases, making them less practical for real world implementation. To overcome this issue, we have developed two deep reinforcement learning-based eVTOL dispatch algorithms, namely single-agent and multi-agent deep Q-learning eVTOL dispatch algorithms, where the objective is to maximize operating profit. An eVTOL-based passenger transportation simulation environment was built to assess the performance of our algorithms across $36$ numerical cases with varying number of eVTOLs, vertiports, and demand. The results indicate that the multi-agent eVTOL dispatch algorithm can closely approximate the optimal dispatch policy with significantly less computational expenses compared to the benchmark optimization model. The multi-agent algorithm was found to outperform the single-agent counterpart with respect to both profits generated and training time.","url":"https://doi.org/10.48550/arxiv.2312.10809","authors":["Varnousfaderani, Elaheh Sabziyan","Shihab, Syed A. M.","Dulia, Esrat F."],"tags":["Artificial Intelligence (cs.AI)","Machine Learning (cs.LG)","FOS: Computer and information sciences","FOS: Computer and information sciences","68T07"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2023","doi":"10.48550/arxiv.2312.10809","addedAt":"2026-08-31T06:39:37.633Z","updatedAt":"2026-08-31T06:39:37.633Z"},{"id":"doi:10.48550/arxiv.2311.04472","name":"Autonomous Advanced Aerial Mobility -- An End-to-end Autonomy Framework for UAVs and Beyond","source":"datacite","abstract":"Developing aerial robots that can both safely navigate and execute assigned mission without any human intervention - i.e., fully autonomous aerial mobility of passengers and goods - is the larger vision that guides the research, design, and development efforts in the aerial autonomy space. However, it is highly challenging to concurrently operationalize all types of aerial vehicles that are operating fully autonomously sharing the airspace. Full autonomy of the aerial transportation sector includes several aspects, such as design of the technology that powers the vehicles, operations of multi-agent fleets, and process of certification that meets stringent safety requirements of aviation sector. Thereby, Autonomous Advanced Aerial Mobility is still a vague term and its consequences for researchers and professionals are ambiguous. To address this gap, we present a comprehensive perspective on the emerging field of autonomous advanced aerial mobility, which involves the use of unmanned aerial vehicles (UAVs) and electric vertical takeoff and landing (eVTOL) aircraft for various applications, such as urban air mobility, package delivery, and surveillance. The article proposes a scalable and extensible autonomy framework consisting of four main blocks: sensing, perception, planning, and controls. Furthermore, the article discusses the challenges and opportunities in multi-agent fleet operations and management, as well as the testing, validation, and certification aspects of autonomous aerial systems. Finally, the article explores the potential of monolithic models for aerial autonomy and analyzes their advantages and limitations. The perspective aims to provide a holistic picture of the autonomous advanced aerial mobility field and its future directions.","url":"https://doi.org/10.48550/arxiv.2311.04472","authors":["Mishra, Sakshi","Palanisamy, Praveen"],"tags":["Robotics (cs.RO)","Machine Learning (cs.LG)","Multiagent Systems (cs.MA)","Systems and Control (eess.SY)","FOS: Computer and information sciences","FOS: Computer and information sciences","FOS: Electrical engineering, electronic engineering, information engineering","FOS: Electrical engineering, electronic engineering, information engineering"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2023","doi":"10.48550/arxiv.2311.04472","addedAt":"2026-08-31T06:39:37.633Z","updatedAt":"2026-08-31T06:39:37.633Z"},{"id":"doi:10.48550/arxiv.2311.18047","name":"Validation of Collision Detection and Avoidance Methods for Urban Air Mobility through Simulation","source":"datacite","abstract":"Urban Air Mobility is a new concept of regional aviation that has been growing in popularity as a solution to the issue of ever-increasing ground traffic. Electric vehicles with vertical take-off and landing capabilities are being developed by numerous market companies as a result of the push toward environmentally sustainable aviation. The next stage in the eVTOL development process would be to define the concept of operation of these conceptual aircraft and then to integrate them with the existing airspace once they are airborne. In addition to coordinating with conventional air traffic and other Urban Air Mobility (UAM) vehicles, collision avoidance with uncooperative airspace users has to be addressed. Birds and drones of all sizes could be dangerous for these low-flying aircraft. Innovative collision detection and avoidance techniques need to be employed due to the uncooperative nature of these airspace users and different performance characteristics of urban air mobility vehicles compared to classical fixed-wing aircraft. The aim of this study is to validate one such system by means of fast-time solutions. This system uses a decision tree and safety envelopes to prevent collisions with non-cooperative airspace members. The system is designed to work with different aircraft configurations used for Urban Air Mobility (UAM) operations. Various scenarios are modelled by varying intruder type, location, flight path among others. Changes in flight time and closest point of approach are assessed to evaluate the system with regard to safety and efficiency.","url":"https://doi.org/10.48550/arxiv.2311.18047","authors":["Panchal, Isha","Armanini, Sophie F.","Metz, Isabel C."],"tags":["Human-Computer Interaction (cs.HC)","FOS: Computer and information sciences","FOS: Computer and information sciences"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2023","doi":"10.48550/arxiv.2311.18047","addedAt":"2026-08-31T06:39:37.633Z","updatedAt":"2026-08-31T06:39:37.633Z"},{"id":"doi:10.5445/ir/1000164818","name":"Conceptual Design of Solid-State Li-Battery for Urban Air Mobility","source":"datacite","abstract":"The negative impact of internal combustion engines on the environment is a major concern in metropolitan areas due to the continued rapid growth and high overall level in the number of vehicles, population, and traffic congestion. Electric vertical take-off and landing (eVTOL) aircraft promises a new era for urban regional transportation and air mobility to address the challenges mentioned above. Nonetheless, providing electrical energy storage systems, like batteries, is one of the key issues with such aircraft. Here, the non-flammable technology of all-solid-state Li batteries with high theoretical gravimetric energy is an attractive option. Modelling allows for a knowledge-driven assessment of the potential of this technology. We here used a combination of a pseudo-2-dimensional cell model with a microstructure surrogate model approach to acquire a better understanding of the effect of the cathode microstructure on the internal process limitations. This model is incorporated into a global optimisation algorithm to predict optimum battery size with respect to the dynamic load demand of eVTOL. When carbon black and active materials are premixed, the battery performs better than when solid electrolyte and active materials are premixed, particularly for low amounts of carbon black in the cathode combination, i.e., 5%. Further, results indicate that future electrification of transportation powertrains would necessitate optimising the composition and distribution of electrode components to fulfil the high demands for power and energy density. By enhancing transport through the microstructure and improving the material's intrinsic conductivity, it is possible to significantly increase the effective diffusivity and conductivity of ASSB, and hence the mission range.","url":"https://doi.org/10.5445/ir/1000164818","authors":["Toghyani, S.","Cistjakov, W.","Baakes, F.","Krewer, U."],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2023","doi":"10.5445/ir/1000164818","addedAt":"2026-08-31T06:39:37.633Z","updatedAt":"2026-08-31T06:39:37.633Z"},{"id":"doi:10.48550/arxiv.2311.10805","name":"Towards a Standardized Reinforcement Learning Framework for AAM Contingency Management","source":"datacite","abstract":"Advanced Air Mobility (AAM) is the next generation of air transportation that includes new entrants such as electric vertical takeoff and landing (eVTOL) aircraft, increasingly autonomous flight operations, and small UAS package delivery. With these new vehicles and operational concepts comes a desire to increase densities far beyond what occurs today in and around urban areas, to utilize new battery technology, and to move toward more autonomously-piloted aircraft. To achieve these goals, it becomes essential to introduce new safety management system capabilities that can rapidly assess risk as it evolves across a span of complex hazards and, if necessary, mitigate risk by executing appropriate contingencies via supervised or automated decision-making during flights. Recently, reinforcement learning has shown promise for real-time decision making across a wide variety of applications including contingency management. In this work, we formulate the contingency management problem as a Markov Decision Process (MDP) and integrate the contingency management MDP into the AAM-Gym simulation framework. This enables rapid prototyping of reinforcement learning algorithms and evaluation of existing systems, thus providing a community benchmark for future algorithm development. We report baseline statistical information for the environment and provide example performance metrics.","url":"https://doi.org/10.48550/arxiv.2311.10805","authors":["Alvarez, Luis E.","Brittain, Marc W.","Breeden, Kara"],"tags":["Machine Learning (cs.LG)","Artificial Intelligence (cs.AI)","FOS: Computer and information sciences","FOS: Computer and information sciences"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2023","doi":"10.48550/arxiv.2311.10805","addedAt":"2026-08-31T06:39:37.633Z","updatedAt":"2026-08-31T06:39:37.633Z"},{"id":"doi:10.1184/r1/24295486","name":"Battery Modeling to Enable Electric Aviation","source":"datacite","abstract":"Few technologies have changed the world more than lithium-ion batteries or heavier than air aircraft. Lithium-ion batteries allow for small, safe, and portable electrical energy storage. They are safer, last longer, and have higher specific energies and powers than most previous electrochemical energy sources. In the last few decades, cars and trucks powered by lithium-ion batteries have gained adoption due to sustainability concerns about the global warming impact of fossil-fuel burning vehicles. While aviation has had an outsized positive impact on the global economy, it too has come under increased scrutiny for its environmental impact. Aircraft require large amounts of power and energy, and have secondary negative societal effects such as the formation of contrails, the release of harmful pollutants such as nitrous oxides, and high noise levels. One proposed solution to these problems is to electrify aircraft using electrochemical batteries. Electric aircraft emit no pollutants, and electric motors are much quieter than their combustion-based counterparts. This promise has led to the development of numerous production, prototype, and conceptual electric aircraft. Of particular interest, electrification has been cited as an enabling technology for urban air mobility (UAM). UAM proposes to reduce traffic and speed commutes at a comparable energy efficiency to electric vehicles, mainly through the use of small electric vertical takeoff and landing (EVTOL) aircraft. However, despite the enormous interest, the requirements, safety, performance, cost, and design of batteries for electric aircraft remain unclear. In this thesis, I explore the requirements, performance, projected lifetime, safety considerations, and design of batteries for electric aircraft. I begin by using the fundamental equations of aircraft performance to elucidate the performance metrics required of next generation batteries to electrify commercial aircraft. I then compare the aircraft that could be electrified using next-generation chemistries such as lithium-air. I find that even in the most optimistic scenario, only regional aviation and some narrow body flights can be electrified using the most advanced battery chemistries known, and that only small aircraft such as urban air mobility aircraft or general aviation aircraft can be electrified using current batteries. Next, I identify two main safety concerns for batteries in electric aircraft: functional failures, which correspond to failures of the battery to meet the power demands of the aircraft, and thermal failures, which correspond to catastrophic failure due to excess heat, fire, and explosions. In order to mitigate the functional failures, I develop a large dataset of battery cycling data. To gain deeper insight into battery degradation, I conduct a model-based diagnosis of battery degradation for electric aircraft. Using an electrochemical model capable of simulating the baseline EVTOL aircraft power profile in 385 µs or a 1C discharge in 98 µs and a parameterization of that model that enables us to physically constrain the modes. I independently sample the degradation modes for each of the 21,392 EVTOL cycles across 22 cells, finding significant trends in positive and negative electrode active material loss and resistance gain. The model shows a median error of 32.5 mV across all cycles. I show that resistance and loss of active material in each electrode are identifiable. I find that the rate of positive electrode active material loss is most strongly correlated with minimum current (maximum charging current) ( ρ = 0.5), the rate of negative electrode active material loss is most strongly correlated with depth of discharge ( ρ = −0.422), and the rate of resistance increase is most strongly correlated with depth of discharge ( ρ = 0.413). I introduce a protocol for early identification of active degradation mechanisms by computing the cosine distance between the identified degradation modes and t","url":"https://doi.org/10.1184/r1/24295486","authors":["Bills, Alexander"],"tags":["Aerospace Engineering","FOS: Mechanical engineering","Power and Energy Systems Engineering (excl. Renewable Power)"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2023","doi":"10.1184/r1/24295486","addedAt":"2026-08-31T06:39:37.633Z","updatedAt":"2026-08-31T06:39:37.633Z"},{"id":"doi:10.1184/r1/24295486.v1","name":"Battery Modeling to Enable Electric Aviation","source":"datacite","abstract":"Few technologies have changed the world more than lithium-ion batteries or heavier than air aircraft. Lithium-ion batteries allow for small, safe, and portable electrical energy storage. They are safer, last longer, and have higher specific energies and powers than most previous electrochemical energy sources. In the last few decades, cars and trucks powered by lithium-ion batteries have gained adoption due to sustainability concerns about the global warming impact of fossil-fuel burning vehicles. While aviation has had an outsized positive impact on the global economy, it too has come under increased scrutiny for its environmental impact. Aircraft require large amounts of power and energy, and have secondary negative societal effects such as the formation of contrails, the release of harmful pollutants such as nitrous oxides, and high noise levels. One proposed solution to these problems is to electrify aircraft using electrochemical batteries. Electric aircraft emit no pollutants, and electric motors are much quieter than their combustion-based counterparts. This promise has led to the development of numerous production, prototype, and conceptual electric aircraft. Of particular interest, electrification has been cited as an enabling technology for urban air mobility (UAM). UAM proposes to reduce traffic and speed commutes at a comparable energy efficiency to electric vehicles, mainly through the use of small electric vertical takeoff and landing (EVTOL) aircraft. However, despite the enormous interest, the requirements, safety, performance, cost, and design of batteries for electric aircraft remain unclear. In this thesis, I explore the requirements, performance, projected lifetime, safety considerations, and design of batteries for electric aircraft. I begin by using the fundamental equations of aircraft performance to elucidate the performance metrics required of next generation batteries to electrify commercial aircraft. I then compare the aircraft that could be electrified using next-generation chemistries such as lithium-air. I find that even in the most optimistic scenario, only regional aviation and some narrow body flights can be electrified using the most advanced battery chemistries known, and that only small aircraft such as urban air mobility aircraft or general aviation aircraft can be electrified using current batteries. Next, I identify two main safety concerns for batteries in electric aircraft: functional failures, which correspond to failures of the battery to meet the power demands of the aircraft, and thermal failures, which correspond to catastrophic failure due to excess heat, fire, and explosions. In order to mitigate the functional failures, I develop a large dataset of battery cycling data. To gain deeper insight into battery degradation, I conduct a model-based diagnosis of battery degradation for electric aircraft. Using an electrochemical model capable of simulating the baseline EVTOL aircraft power profile in 385 µs or a 1C discharge in 98 µs and a parameterization of that model that enables us to physically constrain the modes. I independently sample the degradation modes for each of the 21,392 EVTOL cycles across 22 cells, finding significant trends in positive and negative electrode active material loss and resistance gain. The model shows a median error of 32.5 mV across all cycles. I show that resistance and loss of active material in each electrode are identifiable. I find that the rate of positive electrode active material loss is most strongly correlated with minimum current (maximum charging current) ( ρ = 0.5), the rate of negative electrode active material loss is most strongly correlated with depth of discharge ( ρ = −0.422), and the rate of resistance increase is most strongly correlated with depth of discharge ( ρ = 0.413). I introduce a protocol for early identification of active degradation mechanisms by computing the cosine distance between the identified degradation modes and t","url":"https://doi.org/10.1184/r1/24295486.v1","authors":["Bills, Alexander"],"tags":["Aerospace Engineering","FOS: Mechanical engineering","Power and Energy Systems Engineering (excl. Renewable Power)"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2023","doi":"10.1184/r1/24295486.v1","addedAt":"2026-08-31T06:39:37.633Z","updatedAt":"2026-08-31T06:39:37.633Z"},{"id":"doi:10.13009/eucass2023-456","name":"Wind Tunnel Experiments of an eVTOL Wing-Propeller Configuration","source":"datacite","abstract":"Recent developments of electric aircraft system for eVTOL aircraft demand a better understanding of unconventional propulsion integration for both vertical lift and forward flight. A new modular wind tunnel model on a reconfigurable test stand for eVTOL aircraft is presented in this paper. The model was developed at the Chair of Aerodynamics and Fluid Mechanics of the Technical University of Munich (TUM-AER) and includes capabilities for both time-averaged and time-resolved measurements of load and pressure data. This paper describes the model design and features and presents a selection of results of its first wind turmel tests.","url":"https://doi.org/10.13009/eucass2023-456","authors":[" CATHARINA MOREIRA ","  CHRISTIAN BREITSAMTER "],"tags":["TILTROTOR","PROPELLER AERODYNAMICS"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2023","doi":"10.13009/eucass2023-456","addedAt":"2026-08-31T06:39:37.633Z","updatedAt":"2026-08-31T06:39:37.633Z"},{"id":"doi:10.25967/610120","name":"Influence of Electric Propulsion on Performance and Flight Mechanics of VTOL Aircraft","source":"datacite","abstract":"In recent years, electric vertical take-off and landing (eVTOL) aircraft have emerged as a promising alternative for urban air mobility (UAM). These aircraft, characterized by their wide altitude-velocity flight envelope, feature electric propulsion systems that are now part of the primary control system, introducing additional complexity in their design process. This study outlines a basic framework for the design, simulation, and analysis of eVTOL aircraft, with emphasis on understanding the impact of electric propulsion systems on flight mechanics and performance characteristics. The central part of our framework is a simulation of the flight dynamics using a multi-physics, multibody model based on the nonlinear equations of motion of a tiltrotor aircraft configuration. To show possible applications of the framework, we simulate a trimmed conversion flight, as well as the effect of a voltage drop at the tilting motors on an initially trimmed flight condition. The initial framework offers a flexible toolbox for eVTOL analysis, that can be easily adapted to different configurations. Future extensions of this framework will enable a more comprehensive investigation of the complex dynamics that govern eVTOL aircraft.","url":"https://doi.org/10.25967/610120","authors":["Lampl, D.E.","Armanini, S.F."],"tags":["Electric Propulsion","Flight Mechanics","Multibody Dynamics","Tiltrotor","VTOL Aircraft","DLRK","2023","DGLR"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2023","doi":"10.25967/610120","addedAt":"2026-08-31T06:39:37.633Z","updatedAt":"2026-08-31T06:39:37.633Z"},{"id":"doi:10.48550/arxiv.2110.08830","name":"eVTOL Communications and Networking in UAM: Requirements, Key Enablers, and Challenges","source":"datacite","abstract":"Electric vertical takeoff and landing (eVTOL) aircraft have attracted great attention during the last years as the long-awaited enabler of urban air mobility (UAM), allowing a more sustainable method of transportation and accelerating the development of smart cities. The operation of eVTOLs over urban areas introduces safety hazards for passengers, pedestrians, and buildings, which prioritises safety considerations. Ensuring the safe operation of eVTOLs requires studying their communication, networking, computing requirements. In this paper, we showcase eVTOL requirements in UAM in terms of coverage, data rate, latency, spectrum efficiency, networking, and computing. Then, we identify potential key technological enablers to address these requirements and their challenges. Finally, we carry out a comparative case study between the terrestrial and aerial communication infrastructures to serve eVTOLs in UAM.","url":"https://doi.org/10.48550/arxiv.2110.08830","authors":["Zaid, Abdullah Abu","Belmekki, Baha Eddine Youcef","Alouini, Mohamed-Slim"],"tags":["Signal Processing (eess.SP)","FOS: Electrical engineering, electronic engineering, information engineering","FOS: Electrical engineering, electronic engineering, information engineering"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2021","doi":"10.48550/arxiv.2110.08830","addedAt":"2026-08-31T06:39:37.633Z","updatedAt":"2026-08-31T06:39:37.633Z"},{"id":"doi:10.13009/eucass2023-009","name":"E-VTOL Concept Design with a New Underwing FanFoil Ducted Fan Concept to Improve Aerodynamic Efficiency","source":"datacite","abstract":"This paper proposes a novel transitioning e VTOL aircraft concept utilizing distributed underwing ducted fans with a specially designed undercambered airfoil presented as the \\'Maldonado-Hicks\\' airfoil. It is hypothesized that this concept where the airfoil is blended intothe fan on the aft portion of the airfoil, referred to as the \\'FanFoil\\' concept, is aerodynamicallysuperior to mounting the fans over the wing. This is due to the ability to recess and partially hide the fans underneath the wing, such that the fans are not entirely visible in forward flightwhen looking at the wing from the front. It is expected that this \\'FanFoil\\' technique reduces the form drag of the wing with distributed fans. In this initial study, computational fluid dynamic (CFD) simulations are performed on the MaldonadoHicks airfoil which represent a two-dimensional section of the e VTOL wing at the cruise conditions; Mach 0.22 (260 km/h) and Reynolds number of 6.5xlOG The lift and drag coefficients are computed in order to get an understanding of the cruise angle of attack and design lift coefficient that maximizes aerodynamic efficiency as quantified by the lift-toldrag ratio, LID. Open vehicle sketch pad (VSP) is also used to perform a low-fidelity CFD analysis of the clean eVTOL configuration. The base drag coefficient, Cn, is estimated\\'as 0.018. Finally, an idealized steady-state analytical mission analysis is completed for a hypothetical maximum-range mission for a 5-passenger e VTOL concept. Based on power and energy consumption calculations, it is estimated that thisaircraft concept attains a maximum range of 290 km with a 300 kW-h size lithium polymer battery and a usable energy of 270 kW-h.","url":"https://doi.org/10.13009/eucass2023-009","authors":[" VICTOR MALDONADO ","  JACK HICKS ","  GUILHERME FERNANDES "],"tags":["EVTOL DESIGN","DUCTED FAN","DISTRIBUTED PROPULSION"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2023","doi":"10.13009/eucass2023-009","addedAt":"2026-08-31T06:39:37.633Z","updatedAt":"2026-08-31T06:39:37.633Z"},{"id":"doi:10.4050/sm_evtol_2025-5345","name":"Wisk: Integration of Remotely Supervised Flight Operations in the NAS","source":"crossref","abstract":"Wisk: Integration of Remotely Supervised Flight Operations in the NAS","url":"https://doi.org/10.4050/sm_evtol_2025-5345","authors":["Erick Corona"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-07-21T15:49:59Z","doi":"10.4050/sm_evtol_2025-5345","addedAt":"2026-08-31T06:39:37.645Z","updatedAt":"2026-08-31T14:45:35.252Z"},{"id":"doi:10.1109/aaac66612.2025.11427526","name":"Optimization of eVTOL Lift/Thrust Unit Drive Motor Fault Detection Threshold for Airworthiness","source":"crossref","abstract":"","url":"https://doi.org/10.1109/aaac66612.2025.11427526","authors":["Liqun Ma","Chenchen Ma","Jianzhong Yang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-03-13T19:51:38Z","doi":"10.1109/aaac66612.2025.11427526","addedAt":"2026-08-31T06:39:37.645Z","updatedAt":"2026-08-31T14:45:35.252Z"},{"id":"doi:10.3390/aerospace12020147","name":"Scalability of eVTOL Systems: Insights from Multi-Pad Configurations and CPN Analysis","source":"crossref","abstract":"Electric vertical takeoff and landing (eVTOL) technology can improve connectivity while minimizing reliance on traditional ground-based transportation systems. However, the rapid growth in eVTOL adoption brings challenges in managing landing pad operations and scheduling routes effectively. This study aims to analyze eVTOL landing operations and provide a framework for evaluating system performance under different configurations. Key objectives include (i) identifying bottlenecks in landing pad operations, (ii) proposing improvements to enhance scalability and efficiency through multi-route and multi-pad configurations, and (iii) assessing the impact of operational parameters, such as increased horizontal speed, on overall performance. A simulation analysis was conducted using an original model developed with colored, timed Petri net technology. This methodology aligns with the principles of probabilistic modeling and queuing systems. The experiments provided a comprehensive analysis of the factors influencing the scalability and efficiency of eVTOL operations. A key finding across all experiments is the identification of the “Landing Confirmed—Move to V” as a consistent bottleneck stage. While increasing routes and pads significantly alleviates arrival delays, it does not address identified bottlenecks, which require innovative solutions such as route optimization or speed enhancements. The results underscore the importance of a robust and adaptable framework to support the increasing demand for eVTOL traffic. Urban planners and policymakers can utilize these findings to prioritize the development of vertiports capable of supporting this expanding mode of transportation. The scalability demonstrated in this study validates the feasibility of eVTOL systems as a viable solution for urban mobility.","url":"https://doi.org/10.3390/aerospace12020147","authors":["Amir Qanbari","Jacek Skorupski"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-02-17T03:41:47Z","doi":"10.3390/aerospace12020147","addedAt":"2026-08-31T06:39:37.645Z","updatedAt":"2026-08-31T06:39:39.325Z"},{"id":"doi:10.1109/apec48143.2025.10977312","name":"A Hybrid Energy Storage System for eVTOL Unmanned Aerial Vehicles Using Supercapacitors","source":"crossref","abstract":"","url":"https://doi.org/10.1109/apec48143.2025.10977312","authors":["Ali Alenezi","PengHao Huang","Prasad Enjeti"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-05-01T13:22:00Z","doi":"10.1109/apec48143.2025.10977312","addedAt":"2026-08-31T06:39:37.645Z","updatedAt":"2026-08-31T14:45:35.252Z"},{"id":"doi:10.4050/sm_evtol_2025-5351","name":"Flying Pages: Future Air Mobility Overview and Operations Europe and China","source":"crossref","abstract":"Flying Pages: Future Air Mobility Overview and Operations Europe and China","url":"https://doi.org/10.4050/sm_evtol_2025-5351","authors":["Willi Tacke"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-07-21T15:49:59Z","doi":"10.4050/sm_evtol_2025-5351","addedAt":"2026-08-31T06:39:37.645Z","updatedAt":"2026-08-31T06:39:37.645Z"},{"id":"doi:10.1061/9780784486269.079","name":"Coupling eVTOL Take-Off and Landing Sites with Traditional Bus Stations: Construction and Prospect of Flying Station","source":"crossref","abstract":"","url":"https://doi.org/10.1061/9780784486269.079","authors":["Haitao Liu","Xinhui Sun","Yanan Wang","Qian Sun"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-10-23T10:03:28Z","doi":"10.1061/9780784486269.079","addedAt":"2026-08-31T06:39:37.645Z","updatedAt":"2026-08-31T06:39:37.645Z"},{"id":"doi:10.5302/j.icros.2025.25.0177","name":"Design and Flight Test of a Kalman Filter-based Incremental Nonlinear Dynamic Inversion Attitude Controller for eVTOL UAVs","source":"crossref","abstract":"","url":"https://doi.org/10.5302/j.icros.2025.25.0177","authors":["Seonghyeon Park","Yechan Yang","Jaeseok Jo","Seungkeun Kim","Jinyoung Suk"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-09-10T00:56:31Z","doi":"10.5302/j.icros.2025.25.0177","addedAt":"2026-08-31T06:39:37.645Z","updatedAt":"2026-08-31T06:39:37.645Z"},{"id":"doi:10.1109/imitec67386.2025.11410498","name":"eVTOL Design and Automated Calculations Software","source":"crossref","abstract":"","url":"https://doi.org/10.1109/imitec67386.2025.11410498","authors":["Jacobus Nicolaas Engelbrehct","Moses Olaifa","Pius Adewale Owolawi","Vusi Malele"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-03-03T20:50:31Z","doi":"10.1109/imitec67386.2025.11410498","addedAt":"2026-08-31T06:39:37.645Z","updatedAt":"2026-08-31T14:45:35.252Z"},{"id":"doi:10.1109/ecce58356.2025.11259950","name":"eVTOL Propulsion Comparison Between Axial Flux and Radial Flux Motors","source":"crossref","abstract":"","url":"https://doi.org/10.1109/ecce58356.2025.11259950","authors":["Francesco Tripaldi","Daniele De Gregorio","Nicola Bianchi"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-12-03T18:38:34Z","doi":"10.1109/ecce58356.2025.11259950","addedAt":"2026-08-31T06:39:37.645Z","updatedAt":"2026-08-31T14:45:35.252Z"},{"id":"doi:10.2514/1.c038280","name":"2025 AIAA Journal of Aircraft Editorial","source":"crossref","abstract":"","url":"https://doi.org/10.2514/1.c038280","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-12-26T11:36:33Z","doi":"10.2514/1.c038280","addedAt":"2026-08-31T06:39:37.645Z","updatedAt":"2026-08-31T06:39:37.645Z"},{"id":"doi:10.4050/f-0081-2025-0156","name":"Fire Risk Assessment Techniques for eVTOL Operations at Heliports","source":"crossref","abstract":"This paper identifies key considerations necessary to perform a fire risk assessment for electric vertical takeoff and landing (eVTOL) operations at heliports. Fire and life safety goals, objectives, and performance (i.e., acceptance) criteria are postulated for heliport structures designed to accommodate vertical takeoff and landing of eVTOL aircraft. Quantitative techniques used to assess performance criteria, such as design fire development and fire modeling, are discussed for localized and large-scale fire events. Select heliport design elements that support fire and life safety are identified. The paper concludes with recommendations for future fire safety research efforts related to eVTOL operations at heliports.","url":"https://doi.org/10.4050/f-0081-2025-0156","authors":["Jeff Gonzales","Andy Krebs","Ryan Naru"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-04-10T16:56:52Z","doi":"10.4050/f-0081-2025-0156","addedAt":"2026-08-31T06:39:37.645Z","updatedAt":"2026-08-31T14:45:35.252Z"},{"id":"doi:10.4050/sm_evtol_2025-5358","name":"All Electric - Next Generation Rotorcraft Hydrogen Fuel Cell Powered with Auto Charging-Booster Batteries","source":"crossref","abstract":"All Electric - Next Generation Rotorcraft Hydrogen Fuel Cell Powered with Auto Charging-Booster Batteries","url":"https://doi.org/10.4050/sm_evtol_2025-5358","authors":["Gad Shaanan"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-07-21T15:49:59Z","doi":"10.4050/sm_evtol_2025-5358","addedAt":"2026-08-31T06:39:37.645Z","updatedAt":"2026-08-31T06:39:37.645Z"},{"id":"doi:10.1145/3747012.3747030","name":"Site Selection and Route Planning Study for Manned eVTOL Landing Sites","source":"crossref","abstract":"","url":"https://doi.org/10.1145/3747012.3747030","authors":["Xinhua Zhu","Qian Wang","Qingyu Jiao"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-08-08T08:05:40Z","doi":"10.1145/3747012.3747030","addedAt":"2026-08-31T06:39:37.645Z","updatedAt":"2026-08-31T06:39:37.645Z"},{"id":"doi:10.4050/sm_avtol_2025-5320","name":"Aerodynamic Design and Analysis of an Autonomous eVTOL Using Computational Fluid Dynamics","source":"crossref","abstract":"This study explores the aerodynamic performance of a conceptual multirotor eVTOL aircraft, inspired by the XPENG AeroHT X2 flying car. Computational Fluid Dynamics (CFD) simulations are employed to analyze the aircraft's behavior in both hover and forward flight conditions. A conservative sliding interface technique is employed to capture the relative motion between the rotors and fuselage, while high-order WENO schemes and a hybrid RANS-LES approach ensure accurate modeling of turbulent flows. The results of this research offer valuable insights for the development of future eVTOL designs, providing guidance on achieving efficient, stable, and safe urban air mobility solutions.","url":"https://doi.org/10.4050/sm_avtol_2025-5320","authors":["Chunhua Sheng","Qiuying Zhao"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-07-20T22:41:46Z","doi":"10.4050/sm_avtol_2025-5320","addedAt":"2026-08-31T06:39:37.645Z","updatedAt":"2026-08-31T06:39:37.645Z"},{"id":"doi:10.21203/rs.3.rs-6234188/v1","name":"Optimizing eVTOL Time Scheduling through Origin-Destination and Temporal Data Analysis","source":"preprints","abstract":"Abstract This study introduces a novel data-driven methodology to optimize the scheduling and station placement of electric vertical take-off and landing (eVTOL) vehicles, addressing key challenges in urban air mobility (UAM). Using São Paulo's metropolitan area and New York City as case studies, the research integrates diverse datasets—including helicopter path data, heliports, Uber Movement data, taxi data, and Google API information—to analyze traffic patterns, origin-destination pairs, and peak usage times. The study identifies strategic locations for eVTOL stations and optimal flight schedules by employing clustering algorithms and proximity analysis. The primary contribution is a framework that generates a comprehensive dataset in .csv format, detailing routes and schedules tailored to urban mobility needs and supporting the planning and deployment of eVTOL operations. This scalable and adaptable approach enables integrating urban traffic data into eVTOL planning, advancing sustainable transportation systems, and enhancing the efficiency of UAM solutions worldwide.","url":"https://doi.org/10.21203/rs.3.rs-6234188/v1","authors":["Carolina Rutili de Lima","Fernando J. O. Moreira","Marcos R. O. A. Maximo"],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.21203/rs.3.rs-6234188/v1","addedAt":"2026-08-31T06:39:37.645Z","updatedAt":"2026-08-31T06:39:54.187Z"},{"id":"doi:10.4050/sm_avtol_2025-5332","name":"Emerging CFD Simulation Technologies for eVTOL Aerodynamics, Fluid Management, and Powertrain Optimization","source":"crossref","abstract":"This paper explores advanced CFD simulation technologies tailored to address design and operational challenges in autonomous eVTOL aircraft. Tools such as AVL's PreonLab and FIRE M are highlighted for their contributions to enhancing aerodynamics, fluid management, and powertrain optimization. PreonLab employs a meshless particle-based approach ideal for highly dynamic fluid flow applications, including gearbox oil distribution, electric motor cooling, water landing and soiling simulations. Meanwhile, FIRE M offers aerodynamics simulation solution based on a proprietary immersed boundary method implementation (Embedded Body Method), virtually eliminating the need for CAD clean-up and manual meshing. These technologies support the eVTOL industry's goals for electrification, sustainability, and operational efficiency, accelerating the deployment of safe and effective urban air mobility solutions.","url":"https://doi.org/10.4050/sm_avtol_2025-5332","authors":["Jun Li"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-07-20T22:41:46Z","doi":"10.4050/sm_avtol_2025-5332","addedAt":"2026-08-31T06:39:37.645Z","updatedAt":"2026-08-31T06:39:37.645Z"},{"id":"doi:10.4050/sm_evtol_2025-5352","name":"No News is Good News: What to expect from Advanced Air Mobility in 2025","source":"crossref","abstract":"No News is Good News: What to expect from Advanced Air Mobility in 2025","url":"https://doi.org/10.4050/sm_evtol_2025-5352","authors":["Sergio Cecutta"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-07-21T15:49:59Z","doi":"10.4050/sm_evtol_2025-5352","addedAt":"2026-08-31T06:39:37.645Z","updatedAt":"2026-08-31T06:39:37.645Z"},{"id":"doi:10.2514/6.2025-3845","name":"Analysis of Aerodynamic Interaction Effects on eVTOL Stability and Control Using Prescribed and Free Wake Models","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2025-3845","authors":["Grant Lee","Joseph F. Horn","Umberto Saetti"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-07-16T21:24:43Z","doi":"10.2514/6.2025-3845","addedAt":"2026-08-31T06:39:37.645Z","updatedAt":"2026-08-31T06:39:37.645Z"},{"id":"doi:10.54941/ahfe1005869","name":"The Role of Immersive Technologies in the Design of eVTOL Simulators","source":"crossref","abstract":"As the electric Vertical Take-Off and Landing (eVTOL) aircraft industry advances, the development of high-fidelity simulators becomes crucial to support pilot training, operational safety, and the integration of eVTOLs into urban air mobility (UAM) ecosystems. This paper explores the transformative role of immersive technologies—such as virtual reality (VR), augmented reality (AR), mixed reality (MR), and Simulated Air Traffic Control Environments (SATCE)—in the design and development of eVTOL simulators, focusing on the convergence of human factors and cutting-edge technological innovation. Combined with SATCE, immersive technologies enable realistic, dynamic training environments that simulate the unique flight characteristics and control interfaces of eVTOLs. SATCE, developed by companies like ASTi, U.S.A., provides a sophisticated simulation of air traffic control (ATC) interactions, allowing pilots to practice real-time communication and decision-making under complex traffic and airspace scenarios. This technology helps bridge the gap between traditional aircraft training and the distinct challenges posed by eVTOL operations in dense urban environments, enhancing pilot situational awareness and decision-making in highly dynamic and unpredictable contexts.This paper examines key case studies where VR, MR, AR, and SATCE have been applied in aviation training, including the implementation of SATCE systems by ASTi and the work of FAST-Group Aero in Germany, who have led the integration of immersive technologies into eVTOL and UAM simulator environments. These examples demonstrate how artificial intelligence-driven communication and immersive simulation transform eVTOL pilot training by offering a comprehensive training experience encompassing technical flight skills and communication with air traffic control, particularly in managing vertical lift, multi-axis control, and navigation through complex urban airspace. Additionally, we explore future trends in immersive technology and its applications in eVTOL simulator design, emphasizing creating adaptable, scalable solutions that align with evolving regulatory frameworks. As UAM continues to grow, there is an increasing need to address the human factors challenges of eVTOL operations, such as pilot workload, human-machine interaction, and emergency scenario management. Integrating immersive technologies and SATCE offers a significant opportunity to optimize these aspects, providing a safe, controlled, and engaging training environment. In conclusion, this paper proposes a human-centric approach to eVTOL simulator design, where immersive technologies and SATCE systems not only replicate real-world complexities but also enhance the learning experience, paving the way for safer and more efficient integration of eVTOLs into the airspace.","url":"https://doi.org/10.54941/ahfe1005869","authors":["Dimitrios Ziakkas","Debra Henneberry"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-01-25T20:38:43Z","doi":"10.54941/ahfe1005869","addedAt":"2026-08-31T06:39:37.645Z","updatedAt":"2026-08-31T06:39:37.645Z"},{"id":"doi:10.2514/6.2025-3845.c1","name":"Correction: Analysis of Aerodynamic Interaction Effects on eVTOL Stability and Control Using Prescribed and Free Wake Models","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2025-3845.c1","authors":["Grant Lee","Joseph F. Horn","Umberto Saetti"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-08-18T20:48:01Z","doi":"10.2514/6.2025-3845.c1","addedAt":"2026-08-31T06:39:37.645Z","updatedAt":"2026-08-31T06:39:37.645Z"},{"id":"doi:10.54941/ahfe1006501","name":"The Implementation of AI in the eVTOL Safety Management Systems","source":"crossref","abstract":"The emergence of electric Vertical Take-Off and Landing (eVTOL) aircraft represents a transformative evolution in urban mobility, promising sustainable and efficient air transportation. However, the integration of eVTOLs into high-density urban environments introduces new safety challenges that require advanced Safety Management Systems (SMS). Traditional SMS frameworks, which rely on deterministic models and human-centric decision-making, are insufficient for managing the complexity of eVTOL operations. The integration of Artificial Intelligence (AI) into SMS offers a proactive approach to risk assessment, predictive maintenance, and human-machine interaction, ensuring enhanced operational safety and regulatory compliance. This study explores the role of AI in augmenting SMS for eVTOL operations, focusing on predictive analytics, human-machine interface (HMI) enhancements, and real-world applications from leading eVTOL manufacturers such as Joby Aviation and Lilium. AI-driven predictive analytics enable real-time risk detection and mitigation, improving component reliability and reducing maintenance-related failures. Enhanced HMI tools facilitate adaptive decision-making, reducing cognitive workload for pilots and optimizing safety-critical interactions between human operators and automated systems. Case studies demonstrate that AI-integrated SMS frameworks improve emergency response times, enhance situational awareness, and support the continuous evolution of safety protocols in eVTOL aviation. The findings of this study have significant implications for policy development, training programs, and collaborative innovation. Regulatory agencies such as the FAA and EASA must establish AI-driven safety regulations to ensure compliance while fostering technological advancements in urban air mobility. Training programs must be restructured to incorporate AI-based learning methodologies, preparing pilots and maintenance personnel for AI-enhanced workflows. Collaboration between AI developers, aviation regulators, and eVTOL manufacturers is essential to establishing standardized AI-driven safety management practices.As urban air mobility continues to expand, AI-driven SMS will play a critical role in ensuring the safety, efficiency, and scalability of eVTOL operations. The integration of AI into SMS provides a pathway for predictive, data-driven risk management, enabling a future where eVTOLs operate seamlessly within the global aviation ecosystem. Future research should focus on refining AI decision-making algorithms, improving real-time safety interventions, and developing regulatory frameworks that ensure the safe deployment of AI-driven eVTOL technologies.","url":"https://doi.org/10.54941/ahfe1006501","authors":["Dimitrios Ziakkas","Konstantinos Pechlivanis","Debra Henneberry"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-06-28T23:02:32Z","doi":"10.54941/ahfe1006501","addedAt":"2026-08-31T06:39:37.645Z","updatedAt":"2026-08-31T06:39:37.645Z"},{"id":"doi:10.4050/f-0081-2025-0089","name":"A Comparison of Direct and Reduction Drive Approaches for Power-Dense eVTOL Applications","source":"crossref","abstract":"Electric aviation is advancing rapidly, with aircraft from manufacturers like Joby and Archer well on their way to certification, aircraft electrification will continue and begin to apply to larger aircraft. To support larger electrified rotorcraft, rotors will need to grow if disc-loading and hover efficiency are to be maintained. A consequence of this is the need to reduce rotor speed to maintain an acceptable acoustic signature, especially for operation in urban environments. Most current applications utilize radial flux motors, sometimes with a reduction gearbox. Gearboxes can improve overall propulsion system power density by enabling higher motor speeds but are generally not preferred as they introduce additional potential failure modes and maintenance schedules. In this paper a holistic approach is used to understand the trade-offs between rotor and motor and their consequences on propulsion system power density.","url":"https://doi.org/10.4050/f-0081-2025-0089","authors":["Lee Rogers","Alex Flores","Evan Jones"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-04-10T16:56:52Z","doi":"10.4050/f-0081-2025-0089","addedAt":"2026-08-31T06:39:37.645Z","updatedAt":"2026-08-31T14:45:35.252Z"},{"id":"doi:10.4050/f-0081-2025-0321","name":"Minimum Energy Automatic Flight Control Design for eVTOL Transition Phases","source":"crossref","abstract":"The transition phase of eVTOL aircraft poses a challenge in balancing energy efficiency and stability. This study presents the development and evaluation of an automatic flight control system for eVTOL transition phases, focusing on minimizing energy consumption while ensuring robust performance. The control architecture implements a hybrid response type combining Translational Rate Command below 5 knots and Acceleration Command Speed Hold above 5 knots, with control allocation dynamically adjusted based on airspeed and rotor shaft angle. Stability analysis reveals surge mode instability at high shaft angles due to negative speed stability derivatives, stabilized through carefully tuned feedback control. The system demonstrates Level 1 handling qualities against bandwidth, quickness, and disturbance rejection criteria when evaluated against MIL-DTL-32742 and MIL-STD-1797B standards. Simulation results verify the control system's ability to maintain precise acceleration/deceleration rates and attitude control while ensuring passenger comfort through limited pitch excursions. The control strategy achieves minimum energy transitions by locking rotor shaft angles to optimal schedules while avoiding excessive hub moments. Flight test maneuvers developed specifically for conversion phases confirm the system's capability to execute efficient transitions within defined performance boundaries. This research establishes a framework for certifiable eVTOL flight control systems that balance energy efficiency with robust performance across diverse flight regimes.","url":"https://doi.org/10.4050/f-0081-2025-0321","authors":["Namuk Kang","Linghai Lu","James Whidborne"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-04-10T16:56:52Z","doi":"10.4050/f-0081-2025-0321","addedAt":"2026-08-31T06:39:37.645Z","updatedAt":"2026-08-31T06:39:37.645Z"},{"id":"doi:10.1007/s13272-025-00871-w","name":"Aerodynamic interaction between wing and propeller in eVTOL airplane mode flight condition","source":"openalex","abstract":"","url":"https://doi.org/10.1007/s13272-025-00871-w","authors":["Alberto Savino","Alex Zanotti"],"tags":["Airplane","Wing","Aerodynamics","Propeller","Aerospace engineering"],"confidence":0.72,"sites":["low-altitude"],"publishedDate":"2025-06-27","doi":"10.1007/s13272-025-00871-w","addedAt":"2026-08-31T06:39:37.645Z","updatedAt":"2026-08-31T14:45:35.251Z"},{"id":"doi:10.2139/ssrn.5991728","name":"Training Ab Initio eVTOL Pilots for Regional Air Mobility Missions: A Comparison of Curricula","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.5991728","authors":["Chenglin Liu","Yuxin Du","Dengbo He","Haoyuan Jiang","Chaozhe Jiang","Hai Yang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-12-31T00:45:50Z","doi":"10.2139/ssrn.5991728","addedAt":"2026-08-31T06:39:37.645Z","updatedAt":"2026-08-31T06:39:37.645Z"},{"id":"doi:10.1109/comea66280.2025.11241295","name":"Slipstream-Considered Trajectory Optimization for Tilt-Rotor eVTOL Transition Phase","source":"crossref","abstract":"","url":"https://doi.org/10.1109/comea66280.2025.11241295","authors":["ZeJian Cai","ZiYang Mao","Gang Wu","XinNing Zhang","Chun Shi","Linlin Qin"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-11-21T18:39:45Z","doi":"10.1109/comea66280.2025.11241295","addedAt":"2026-08-31T06:39:37.645Z","updatedAt":"2026-08-31T06:39:37.645Z"},{"id":"doi:10.1016/j.ifacol.2025.11.535","name":"Finite-time Attitude Control Design of a Coaxial Tilt-Rotor eVTOL under Rotor Fault","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.ifacol.2025.11.535","authors":["Zheng Hou","Zongyang Lv","Yuhu Wu"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-11-28T12:49:11Z","doi":"10.1016/j.ifacol.2025.11.535","addedAt":"2026-08-31T06:39:37.645Z","updatedAt":"2026-08-31T06:39:37.645Z"},{"id":"doi:10.2514/6.2025-3306","name":"Investigating Air Taxi Pilot’s Stress Response to Meteorological Changes Utilising an eVTOL Simulator","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2025-3306","authors":["Qinyu Zhou","Kam K.H. Ng","Qinbiao Li","Cho Yin Yiu","Xin Yuan"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-07-16T21:24:43Z","doi":"10.2514/6.2025-3306","addedAt":"2026-08-31T06:39:37.645Z","updatedAt":"2026-08-31T06:39:37.645Z"},{"id":"doi:10.1002/9781394313990.ch8","name":"Aircraft Systems","source":"crossref","abstract":"","url":"https://doi.org/10.1002/9781394313990.ch8","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-05-23T21:23:03Z","doi":"10.1002/9781394313990.ch8","addedAt":"2026-08-31T06:39:37.645Z","updatedAt":"2026-08-31T06:39:37.645Z"},{"id":"doi:10.1109/itecasia-pacific63742.2025.11345088","name":"Power Consumption Modeling and Analysis of Low-altitude eVTOL for Urban Air Mobility","source":"crossref","abstract":"","url":"https://doi.org/10.1109/itecasia-pacific63742.2025.11345088","authors":["Jianyang Yuan","Zhen Zhu","Hongcai Zhang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-01-22T20:59:14Z","doi":"10.1109/itecasia-pacific63742.2025.11345088","addedAt":"2026-08-31T06:39:37.645Z","updatedAt":"2026-08-31T06:39:52.012Z"},{"id":"doi:10.1109/icm62621.2025.10934770","name":"Trajectory Tracking Control of Tilt-Wing eVTOL Using Aerodynamic Coupling Observer and Wing Angle Correction Method","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icm62621.2025.10934770","authors":["Takuma Katagiri","Kota Fujimoto","Sakahisa Nagai","Hiroshi Fujimoto"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-03-27T02:21:47Z","doi":"10.1109/icm62621.2025.10934770","addedAt":"2026-08-31T06:39:37.645Z","updatedAt":"2026-08-31T06:39:37.645Z"},{"id":"doi:10.1109/iccasit66611.2025.11348758","name":"eVTOL-based lightweight flight synthesis data recorder design","source":"crossref","abstract":"","url":"https://doi.org/10.1109/iccasit66611.2025.11348758","authors":["Dai Zhehui","Pan Yanxin","Bai Jun","Li Xiaomeng","Miao Yang","Zhang Qing"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-01-29T21:18:30Z","doi":"10.1109/iccasit66611.2025.11348758","addedAt":"2026-08-31T06:39:37.645Z","updatedAt":"2026-08-31T06:39:37.645Z"},{"id":"doi:10.4050/f-0081-2025-0218","name":"Simulation-Based Evaluation of Motor Failure Resilience in a Prototyped Multirotor eVTOL","source":"crossref","abstract":"This study investigates the fault tolerance of a large-scale coaxial quadrotor Electric Vertical Takeoff and Landing (eVTOL) under motor failure through high-fidelity software-in-the-loop (SIL) simulations using PX4-Gazebo environment. The objective is to evaluate the vehicle's ability to maintain flight stability and complete critical missions under various propulsion failure scenarios, without the control system being explicitly aware of which motors have failed. Four motor failure cases-single, two adjacent, two diagonally opposite, and three distributed motor failures-were introduced during takeoff, hover, cruise, and hover under crosswind missions. Results show that the eVTOL maintained controllability and mission completion under all scenarios, with increasing levels of performance degradation under more severe failures. Notably, considerable yaw instabilities of about 10 degrees occurred under two diagonally opposite motor failures. The highest thrust demands after motor failures were observed during cruise mission, with some motors demanding about 80% to 90% of their maximum throttle. Hover under crosswind revealed compounded challenges in attitude control during descent under severe failure cases compared to calm weather. These findings underscore the robustness of the integrated control system and vehicle configuration in managing motor failure scenarios.","url":"https://doi.org/10.4050/f-0081-2025-0218","authors":["Mostafa Asadi Khanouki","Younes Sadat-Nejad","Nima Pourmostaghimi"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-04-10T16:56:52Z","doi":"10.4050/f-0081-2025-0218","addedAt":"2026-08-31T06:39:37.645Z","updatedAt":"2026-08-31T06:39:37.645Z"},{"id":"doi:10.3390/aerospace12110973","name":"Study on Certification-Driven Fault Detection Threshold Optimization for eVTOL Dual-Motor-Driven Rotor","source":"crossref","abstract":"Advances in motor technology and the application of distributed electric propulsion systems have greatly promoted the development of electric vertical take-off and landing aircraft. As a critical safety component of eVTOL aircraft, the motor system design must satisfy both performance requirements and stringent airworthiness standards. This paper studies the lift–thrust unit drive motor system of an eVTOL aircraft and proposes an architecture that utilizes analytical redundancy to enhance system-level reliability. This paper focuses on threshold optimization in analytical redundancy systems. Through simulations and reliability analyses, the performance of the analytical redundancy system is quantified, with false alarm and missed detection probabilities evaluated, fault detection thresholds optimized, and overall system reliability enhanced analytical redundancy systems is improved. Simulation and calculation results demonstrate that the proposed fault detection method can effectively meet the requirements for rapid detection and achieve optimal reliability at the given optimal threshold.","url":"https://doi.org/10.3390/aerospace12110973","authors":["Liqun Ma","Chenchen Ma","Jianzhong Yang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-10-31T05:28:43Z","doi":"10.3390/aerospace12110973","addedAt":"2026-08-31T06:39:37.645Z","updatedAt":"2026-08-31T06:39:37.645Z"},{"id":"doi:10.1088/1742-6596/3022/1/012016","name":"Performance Modeling and Trajectory Optimization of eVTOL Using RBF Neural Network","source":"crossref","abstract":"Abstract Electric Vertical Take-Off and Landing (eVTOL) is a key development direction for the future of electric urban air mobility (UAM),which are characterized by multiple lift surfaces, control surfaces,and operational modes.eVTOL offers superior flight capabilities, enabling high-speed travel while maintaining vertical takeoff and landing capabilities. However,the inherent complexity of the aircraft’s dynamic model complicates its solution, thereby limiting its applicability in trajectory optimization. This paper presents a dynamic model of the aircraft for analyzing its flight performance. A Radial Basis Function (RBF) neural network surrogate model is subsequently employed to construct the aircraft performance model. The effectiveness of the model is validated through RBF neural network-based fitting analysis.A case study on urban low-altitude flight trajectory optimization further demonstrates the advantages of the flight performance surrogate model:it effectively captures the capabilities of eVTOL and maximizes the utilization of the aircraft’s performance limits.","url":"https://doi.org/10.1088/1742-6596/3022/1/012016","authors":["Yu Tianle","Zhang Chaoqun","Li Jianbo"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-06-05T11:59:51Z","doi":"10.1088/1742-6596/3022/1/012016","addedAt":"2026-08-31T06:39:37.645Z","updatedAt":"2026-08-31T06:39:37.645Z"},{"id":"doi:10.21741/9781644904251-17","name":"Comparing UAM Demand, eVTOL Design, and Profitability across Metropolitan Regions using Simulation and Optimization","source":"crossref","abstract":"Abstract. We develop an integrated methodology at the UAM fleet level combining multi-agent transport simulation (MATSim) with profit optimization. The approach is applied to three simulation scenarios (Los Angeles, Kyoto, Rhine-Ruhr) with varying network sizes, ticket prices, and eVTOL vehicle characteristics. Demand surrogates are analyzed for large-scale simulation prediction. Results of all scenarios indicate that profitable UAM operations by 2030 require autonomous flight, scenario specific ticket pricing, and efficient eVTOL designs.","url":"https://doi.org/10.21741/9781644904251-17","authors":["Ansgar KIRSTE"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-07-09T16:00:12Z","doi":"10.21741/9781644904251-17","addedAt":"2026-08-31T06:39:37.645Z","updatedAt":"2026-08-31T14:45:35.251Z"},{"id":"doi:10.4050/f-0081-2025-0397","name":"Gaussian Process Surrogate Model for eVTOL Propeller Aerodynamics","source":"crossref","abstract":"Gaussian Process Regression (GPR) is a flexible, non-parametric machine learning method well-suited for regression tasks. In the context of modeling aerodynamic propellers, GPR significantly reduces the amount of computationally expensive training data needed compared to simpler interpolation or curve-fitting approaches for the same level of accuracy. This work explores several strategies for building a surrogate model of an isolated propeller for the Joby Aviation tilt-propeller electric vertical take-off and landing (eVTOL) aircraft. To better capture sharp local variations in output quantities of interest and accommodate unevenly spaced training data, a novel delta-layer GPR approach is introduced. This method builds on the traditional single-layer GPR method by fitting to the error between the training data and the first layer fit. In parallel, a multi-fidelity GPR model is developed, using lower-fidelity data to achieve better prediction of the underlying mean function while incorporating high-fidelity CFD data for precision. This approach is further extended by integrating a third source of high-fidelity wind tunnel data, resulting in a smooth and accurate surrogate model across the entire flight envelope.","url":"https://doi.org/10.4050/f-0081-2025-0397","authors":["Peter Ryseck","Racheal Erhard","Michael Cunningham","Feyyaz Guener","Monica Londono","Zouhair Mahboubi"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-04-10T16:56:52Z","doi":"10.4050/f-0081-2025-0397","addedAt":"2026-08-31T06:39:37.645Z","updatedAt":"2026-08-31T06:39:37.645Z"},{"id":"doi:10.1109/dasc66011.2025.11257371","name":"Feel the Speed: Supporting Novice eVTOL Pilots in Simplified Vehicle Operations with Haptic Cues","source":"crossref","abstract":"","url":"https://doi.org/10.1109/dasc66011.2025.11257371","authors":["Dominik Janetzko","Hany Abdelfattah","Jan Baier","Daniel Dollinger","Michael Zintl"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-12-02T18:45:18Z","doi":"10.1109/dasc66011.2025.11257371","addedAt":"2026-08-31T06:39:37.645Z","updatedAt":"2026-08-31T06:39:37.645Z"},{"id":"doi:10.4050/f-0081-2025-0042","name":"Dynamic Drop Testing of eVTOL Energy Storage Systems Part 1: Drop Test Data Summary","source":"crossref","abstract":"Researchers at the National Aeronautics and Space Administration (NASA) have conducted a series of module-level tests on electric Vertical Take-off and Landing (eVTOL) Energy Storage Systems (ESS) for the generation of dynamic impact data to support standards developments. The tests were conducted on zero-state-of-charge Electric Power Systems (EPS) Electric Propulsion Ion Core (EPIC) modules at the National Institute for Aviation Research (NIAR), utilizing the NIAR outdoor drop test setup and personnel. Four total tests were conducted. For each test, the module was dropped at a specific orientation from a height of 50 feet while connected to a guided trolley in order to assess the effects of a 50-foot drop test on the ESS. The test velocities ranged between 46.9 and 52.8 ft/s with impact angles ranging between a flat, zero-degree impact and 18 degrees. Data were recorded in the form of temperatures, cell-level voltage, module level acceleration and digital image correlation from the tests. Accelerations were in the range of 1,500 g for a few millisecond duration, which were indicative of a shock type loading condition. No modules entered thermal runaway, and post-test inspections revealed a variety of internal deformations and damage present in the various modules tested, with specific damage occurring for specific orientations. The modules were ranked according to a custom developed scoring rubric developed by utilizing the test and post-test inspection results. The results were compiled, reported, and will be used to guide future ESS testing. Part 1 discusses the loading environments in the modules, while Part 2 will discuss the deformation and damage in the modules.","url":"https://doi.org/10.4050/f-0081-2025-0042","authors":["Justin Littell","Nathaniel Gardner","Shay Ellafrits"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-04-10T16:56:52Z","doi":"10.4050/f-0081-2025-0042","addedAt":"2026-08-31T06:39:37.645Z","updatedAt":"2026-08-31T06:39:37.645Z"},{"id":"doi:10.4050/sm_avtol_2025-5322","name":"Sensitivity Analysis and Aerodynamic Modeling of eVTOL Low-speed Predicted Handling Qualities","source":"crossref","abstract":"This study explores aerodynamic modelling and the application of Sensitivity Analysis (SA) to the low-speed predicted Handling Qualities (pHQs) of a small-scale eVTOL, to identify the impact of uncertainty in modeling. The methodology integrates the statistical simulation tool Dakota with a Flight Simulation Model (FSM) to assess the propagation of input parameter uncertainties on pHQs: Attitude Quickness, Dynamic Stability, and Bandwidth. The aerodynamic analysis, conducted using the DUST aerodynamic model, determines the correct approach for computing dynamic stability derivatives. The results highlight the dependency of these derivatives on reduced frequency, emphasizing the need to consider this in FSM development and uncertainty analysis. A hybrid SA framework that combines the Morris One-at-a-Time (MOAT) method for preliminary analysis with Variance-Based Decomposition (VBD) using a Kriging meta-model for efficiency is implemented. Key parameters whose uncertainty affects pHQs, such as mass, system time delay and aerodynamic parameters, are identified using the SA. This work demonstrates how to implement a robust SA process for uncertainty analysis, to support informed decision-making in assessing the credibility of flight simulation models to be used for certification by simulation.","url":"https://doi.org/10.4050/sm_avtol_2025-5322","authors":["Agata Rylko","Lorenzo Favaro","Giuseppe Quaranta"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-07-20T22:41:46Z","doi":"10.4050/sm_avtol_2025-5322","addedAt":"2026-08-31T06:39:37.645Z","updatedAt":"2026-08-31T06:39:37.645Z"},{"id":"doi:10.2514/6.2025-3001","name":"High-Fidelity Simulations of Vertiport Gust Effects on eVTOL Rotor Noise","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2025-3001","authors":["Vadim Voropayev","Michael Marques","Alireza Maleki","Sheryl Grace","Anastasios S. Lyrintzis","Reda R. Mankbadi","Vladimir V. Golubev"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-07-16T21:24:43Z","doi":"10.2514/6.2025-3001","addedAt":"2026-08-31T06:39:37.645Z","updatedAt":"2026-08-31T06:39:37.645Z"},{"id":"doi:10.54254/2977-3903/2025.27486","name":"eVTOL development under the low-altitude economy paradigm: technologies, applications, and challenges","source":"crossref","abstract":"As an emerging industrial paradigm, the low-altitude economy is rapidly developing, with electric vertical take-off and landing (eVTOL) aircraft as a key enabling platform. This paper reviews major advances in eVTOL technologies, including configuration design, distributed electric propulsion, and flight-control and autonomous-navigation systems. It also analyzes the progress of representative companies and products, application scenarios, demonstration projects, and supporting infrastructure and operational systems. Current challenges include flight safety and noise control, delayed airworthiness certification and airspace management, and unclear business models. In the future, the integration of artificial intelligence, cooperative low-altitude traffic management, and standardized regulatory frameworks is expected to enable autonomous and large-scale eVTOL operations, driving the low-altitude economy toward maturity.","url":"https://doi.org/10.54254/2977-3903/2025.27486","authors":["Xiyuan Wang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-09-29T07:06:21Z","doi":"10.54254/2977-3903/2025.27486","addedAt":"2026-08-31T06:39:37.645Z","updatedAt":"2026-08-31T14:45:35.252Z"},{"id":"doi:10.2139/ssrn.5396977","name":"Effects of Mr Simulator-Based Short-Term Training on Physiological Responses and Flight Performance in Evtol Operations","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.5396977","authors":["Yanbin Yang","Lei Lei","Haiyu Li","Dubo Huang","Dengbo He"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-08-21T08:46:51Z","doi":"10.2139/ssrn.5396977","addedAt":"2026-08-31T06:39:37.645Z","updatedAt":"2026-08-31T14:45:35.252Z"},{"id":"doi:10.1088/1742-6596/3032/1/012029","name":"Design of a multirotor eVTOL flight controller based on sliding mode and dynamic inversion","source":"crossref","abstract":"Abstract To address the challenges of strong nonlinear coupling and multi-source disturbance sensitivity in multi-rotor eVTOLs operating in low-altitude dense-disturbance environments, an SMC-NDI cascade control architecture is proposed. The nonlinear characteristics and dynamic behaviors of multi-rotor eVTOLs are analyzed, and a dynamic model is established. Based on singular perturbation theory, the vehicle states are divided into four independent loops according to response speeds. The nonlinear decoupling for each sub-loop is achieved via NDI-based control laws. A sliding mode variable structure theory is utilized to design pseudo-control inputs for the dynamic inversion controller, while an exponential reaching law is employed to suppress model uncertainties and external disturbances. Simulation results demonstrate that, under parameter perturbations and wind disturbances, the proposed SMC-NDI controller reduces the peak hover position error from ± 1.2 m to ± 0.3 m and decreases the trajectory tracking RMSE by 52%, compared to traditional dynamic inversion methods. Additionally, attitude angle overshoot is confined within ± 1.5°, validating the controller’s comprehensive advantages in dynamic response, robustness, and decoupling performance.","url":"https://doi.org/10.1088/1742-6596/3032/1/012029","authors":["Juan Wang","Wenshuo Liu","Guorui Li"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-06-23T09:23:04Z","doi":"10.1088/1742-6596/3032/1/012029","addedAt":"2026-08-31T06:39:37.645Z","updatedAt":"2026-08-31T06:39:37.645Z"},{"id":"doi:10.1007/978-981-96-4599-2_15","name":"Unmanned Aircraft","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-981-96-4599-2_15","authors":["Nikolai A. Eremin"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-08-31T15:17:35Z","doi":"10.1007/978-981-96-4599-2_15","addedAt":"2026-08-31T06:39:37.645Z","updatedAt":"2026-08-31T06:39:37.645Z"},{"id":"doi:10.3390/drones9060435","name":"An Efficient SDOF Sweep Wing Morphing Technology for eVTOL-UAV and Experimental Realization","source":"crossref","abstract":"The presented study demonstrates that UAVs can be flown with a morphing wing to develop essential aerodynamic efficiency without a tail structure, which decides the operational cost and flight safety. The mechanical control for morphing is discussed, where the system design, simulation, and experimental realization of ±15° SDOF sweep motion for a 7 kg eVTOL wing are detailed. The methodology, developed through a mathematical modeling of the mechanism’s kinematics and dynamics, is explained using Denavit–Hartenberg (D-H) convention, Lagrangian mechanics, and Euler–Lagrangian equations. The simulation and MBD analyses were performed in MATLAB R2021 and by Altair Motion Solve, respectively. The experiment was conducted on a dedicated test rig with two wing variants fitted with IMUs and an autopilot. The results from various methods were analyzed and experimentally compared to provide an accurate insight into the system’s design, modeling, and performance of the sweep morphing wing. The theoretical calculations by the mathematical model were compared with the test results. The sweep requirement is essential for eVTOL to have long endurance and multi-mission capabilities. Therefore, the developed sweep morphing mechanism is very useful, meeting such a demand. However, the results for three-dimensional morphing, operating sweep, pitch, and roll together are also presented, for the sake of completeness.","url":"https://doi.org/10.3390/drones9060435","authors":["Palaniswamy Shanmugam","Parammasivam Kanjikovil Mahali","Samikkannu Raja"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-06-16T06:40:27Z","doi":"10.3390/drones9060435","addedAt":"2026-08-31T06:39:37.645Z","updatedAt":"2026-08-31T14:45:35.252Z"},{"id":"doi:10.1007/978-981-96-4599-2_7","name":"Aircraft Layout","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-981-96-4599-2_7","authors":["Nikolai K. Liseitsev"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-08-31T15:17:32Z","doi":"10.1007/978-981-96-4599-2_7","addedAt":"2026-08-31T06:39:37.645Z","updatedAt":"2026-08-31T06:39:37.645Z"},{"id":"doi:10.1002/9781394313990.ch3","name":"Simulation of Aircraft Models","source":"crossref","abstract":"","url":"https://doi.org/10.1002/9781394313990.ch3","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-05-23T21:23:03Z","doi":"10.1002/9781394313990.ch3","addedAt":"2026-08-31T06:39:37.645Z","updatedAt":"2026-08-31T06:39:37.645Z"},{"id":"doi:10.1002/9781394313990.ch1","name":"Evolution of Aircraft Design","source":"crossref","abstract":"","url":"https://doi.org/10.1002/9781394313990.ch1","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-05-23T21:23:03Z","doi":"10.1002/9781394313990.ch1","addedAt":"2026-08-31T06:39:37.645Z","updatedAt":"2026-08-31T06:39:37.645Z"},{"id":"doi:10.1016/j.apenergy.2025.126637","name":"Development and HIL validation of observer-based monitoring algorithms of battery packs for eVTOL UAV applications","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.apenergy.2025.126637","authors":["Aleksander Suti","Marc Budinger","Gianpietro Di Rito","Aurélien Reysset"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-08-19T15:36:18Z","doi":"10.1016/j.apenergy.2025.126637","addedAt":"2026-08-31T06:39:37.645Z","updatedAt":"2026-08-31T06:39:37.645Z"},{"id":"doi:10.6112/kscfe.2025.30.4.118","name":"A COMPARATIVE STUDY ON THE AERODYNAMIC CHARACTERISTICS OF 2­BLADE AND 4­BLADE LIFT PROPS FOR THE OPPAV eVTOL","source":"crossref","abstract":"","url":"https://doi.org/10.6112/kscfe.2025.30.4.118","authors":["H.J. Kang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-01-13T02:36:57Z","doi":"10.6112/kscfe.2025.30.4.118","addedAt":"2026-08-31T06:39:37.645Z","updatedAt":"2026-08-31T06:39:37.645Z"},{"id":"doi:10.4050/f-0081-2025-0168","name":"Vertical Motion Simulator Handling Qualities Testing of a Piloted eVTOL Vehicle Having a Degraded Powertrain","source":"crossref","abstract":"This paper presents handling qualities (HQs) research findings for electrical Vertical Take-off and Landing vehicles. Testing in the Vertical Motion Simulator (VMS) investigated handling qualities of vehicle configurations having a degraded powertrain. Powertrain components, including batteries and electric motors, can degrade as the vehicle is flown. This paper investigates the impact of low battery charge and high motor temperature degradations on the pilot's ability to execute precise maneuvers. Pilot comments and ratings that were collected from four rotorcraft test pilots in VMS testing are used to quantify the effects that powertrain degradations had on the HQs of the vehicle.","url":"https://doi.org/10.4050/f-0081-2025-0168","authors":["Kyle Barnes","Peter Suh","Curt Hanson"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-04-10T16:56:52Z","doi":"10.4050/f-0081-2025-0168","addedAt":"2026-08-31T06:39:37.645Z","updatedAt":"2026-08-31T06:39:37.645Z"},{"id":"doi:10.1007/978-981-96-4599-2_16","name":"Aircraft Wing Design","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-981-96-4599-2_16","authors":["Mikhail A. Pogosyan"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-08-31T15:17:37Z","doi":"10.1007/978-981-96-4599-2_16","addedAt":"2026-08-31T06:39:37.645Z","updatedAt":"2026-08-31T06:39:37.645Z"},{"id":"doi:10.4050/sm_sym_2025-5439","name":"Aeromarine at 2025 Electric Aircraft Symposium","source":"crossref","abstract":"Aeromarine at 2025 Electric Aircraft Symposium","url":"https://doi.org/10.4050/sm_sym_2025-5439","authors":["Chip Erwin"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-07-21T17:01:11Z","doi":"10.4050/sm_sym_2025-5439","addedAt":"2026-08-31T06:39:37.645Z","updatedAt":"2026-08-31T06:39:37.645Z"},{"id":"doi:10.2514/1.c038140","name":"In-Air Trapped Static Method for Aircraft Pressure Altitude and Airspeed","source":"crossref","abstract":"Accurate aircraft airspeed measurement has always been crucial for analyzing, testing, and certifying aircraft performance, handling qualities, loads, flutter, and structural integrity. Indicated or calibrated airspeed, determined by impact pressure, relies on total pressure from the pitot tube and static pressure from the static port(s), both susceptible to distortion by local flow near the pressure sensors. Various methods used for measuring static pressure have either been expensive to operate or suffered from degraded accuracy and efficiency. This paper introduces the In-Air Trapped Static (IATS) method for computing accurate static pressure and airspeed from a pressure altitude profile anchored at identified trapped static points. The pressure altitude profile is constructed using kinematically corrected geometric altitude and a local temperature profile extracted from recorded flight data. The author hopes that this method, with its significantly enhanced airspeed accuracy, will promote consistency in aircraft development and certification for both manufacturers and regulatory agencies, thereby improving the safety of aircraft operation.","url":"https://doi.org/10.2514/1.c038140","authors":["Jia Luo"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-02-10T12:14:56Z","doi":"10.2514/1.c038140","addedAt":"2026-08-31T06:39:37.645Z","updatedAt":"2026-08-31T06:39:37.645Z"},{"id":"doi:10.1002/9781394313990.ch13","name":"Lightweight Materials for Aircraft Applications","source":"crossref","abstract":"","url":"https://doi.org/10.1002/9781394313990.ch13","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-05-23T21:23:03Z","doi":"10.1002/9781394313990.ch13","addedAt":"2026-08-31T06:39:37.645Z","updatedAt":"2026-08-31T06:39:37.645Z"},{"id":"doi:10.3390/wevj16040220","name":"eVTOL Dispatch Cost Optimization Under Time-Varying Low-Altitude Delivery Demand","source":"crossref","abstract":"In the emerging paradigm of embodied intelligence, eVTOL technology holds significant potential to transform the low-altitude economy, particularly in short-distance emergency logistics and urban distribution. Companies like Meituan and Shunfeng (SF) are pioneering fixed low-altitude routes to reduce reliance on human delivery. We first investigate the performance and routing of Meituan’s eVTOL system, focusing on the dynamic optimization of eVTOL reserves and total costs at distribution stations under fluctuating order surges and charging constraints. An iterative algorithm is constructed, supported by numerical examples and Monte Carlo simulations. Our results reveal that cost parameters and demand characteristics jointly shape eVTOL incremental decision-making and its economic performance. To optimize costs, strategies like multi-period decentralized scheduling or low-frequency centralized decision-making are proposed. Future research will address limitations such as 2C charging effects and joint battery-eVTOL replenishment to further advance urban logistics and low-altitude economy development.","url":"https://doi.org/10.3390/wevj16040220","authors":["Tao Li","Yingjun Du","Zemin Zhang","Yushun Wang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-04-23T20:43:17Z","doi":"10.3390/wevj16040220","addedAt":"2026-08-31T06:39:37.645Z","updatedAt":"2026-08-31T14:45:35.252Z"},{"id":"doi:10.2139/ssrn.5406544","name":"A Scalable Framework for the Management of STPA Requirements: a Case Study on eVTOL Operations","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.5406544","authors":["Shufeng Chen","Halima El Badaoui","Mariat James Elizebeth","Siddartha Khastgir","Paul Jennings","Takuya Nakashima"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-08-28T13:27:02Z","doi":"10.2139/ssrn.5406544","addedAt":"2026-08-31T06:39:37.645Z","updatedAt":"2026-08-31T14:45:35.252Z"},{"id":"doi:10.2514/1.c038054","name":"Inverse Design of Low-Boom Supersonic Aircraft with Cylindrical Pressure Distribution","source":"crossref","abstract":"An inverse design of supersonic aircraft with low-boom in full-carpet, low-drag, and longitudinal trim using cylindrical pressure distribution is proposed. Defining consistent cylindrical pressure distribution and reconstructing geometry from the cylindrical pressure distribution have been challenging. In this paper, a function to express consistent cylindrical pressure distribution that satisfies the Helgason–Ludwig consistency conditions is used to define a target. Projections onto convex sets that are used in the field of limited angle tomography are applied to reconstruct a geometry iteratively. For sonic boom propagation, a fast low-fidelity method with Cole–Hopf transformation to solve the Burgers equation is proposed. An implementation of multipole analysis with piecewise series expansion of the multipole function is included and is used for resolving circumferential flow effects in near-field analysis for sonic boom propagation and for comparison with far-field linear theory. Case studies show the validity of the proposed methods.","url":"https://doi.org/10.2514/1.c038054","authors":["Yuki Utsumi"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-12-17T14:55:22Z","doi":"10.2514/1.c038054","addedAt":"2026-08-31T06:39:37.645Z","updatedAt":"2026-08-31T06:39:37.645Z"},{"id":"doi:10.2514/6.2025-3782","name":"Enhancing the Human Performance of eVTOL Pilots with Take-Off Patterns for Skyscraper-Constrained Urban Air Mobility","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2025-3782","authors":["Cho Yin Yiu","Qinbiao Li","Qinyu Zhou","Xin Yuan","Kam K.H. Ng"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-07-16T21:24:43Z","doi":"10.2514/6.2025-3782","addedAt":"2026-08-31T06:39:37.645Z","updatedAt":"2026-08-31T06:39:52.574Z"},{"id":"doi:10.23919/icems66262.2025.11317366","name":"Design and Optimization of Stator Direct Cooling for High Power eVTOL Propulsion Motor","source":"crossref","abstract":"","url":"https://doi.org/10.23919/icems66262.2025.11317366","authors":["Long Chen","Chuliang Zheng","Ao Guo","Hongyao Fu","Bingheng Wang","Hao Qian"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-01-12T18:20:00Z","doi":"10.23919/icems66262.2025.11317366","addedAt":"2026-08-31T06:39:37.645Z","updatedAt":"2026-08-31T06:39:37.645Z"},{"id":"doi:10.18260/1-2--55018","name":"Design and Development of a Lightweight Chassis Frame for a One Passenger Electric Vertical Takeoff and Landing (eVTOL) Vehicle Based on Jetson One","source":"crossref","abstract":"","url":"https://doi.org/10.18260/1-2--55018","authors":["Junling Hu","Godwin Agyei-Owusu"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-04-29T11:29:18Z","doi":"10.18260/1-2--55018","addedAt":"2026-08-31T06:39:37.645Z","updatedAt":"2026-08-31T14:45:35.252Z"},{"id":"doi:10.2139/ssrn.5655532","name":"An Integrated Optimization Framework for Urban Air Mobility: Planning Vertiports, Fleet Size, and Routes for eVTOL Operations with Application in Dubai","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.5655532","authors":["Faisal Alkaabneh","Rose Falou","Jabir Mumtaz","Bayan Hamdan"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-10-24T23:54:38Z","doi":"10.2139/ssrn.5655532","addedAt":"2026-08-31T06:39:37.645Z","updatedAt":"2026-08-31T06:39:52.574Z"},{"id":"doi:10.29327/9786527220794.1443267","name":"AIRFOIL MODELING AND OPTIMIZATION FOR EVTOL APPLICATIONS AIMED AT MINIMIZING LATERAL FORCES INDUCED BY VERTICAL FLOW","source":"crossref","abstract":"","url":"https://doi.org/10.29327/9786527220794.1443267","authors":["Flavio Horizontino do Amaral","Mario Vitor Nunes Maia","José Gustavo Coelho"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-12-30T20:10:09Z","doi":"10.29327/9786527220794.1443267","addedAt":"2026-08-31T06:39:37.645Z","updatedAt":"2026-08-31T14:45:35.252Z"},{"id":"doi:10.1007/978-981-96-4599-2_20","name":"Aircraft Control System Design","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-981-96-4599-2_20","authors":["Oleg S. Dolgov"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-08-31T15:17:41Z","doi":"10.1007/978-981-96-4599-2_20","addedAt":"2026-08-31T06:39:37.645Z","updatedAt":"2026-08-31T06:39:37.645Z"},{"id":"doi:10.1002/9781394313990.ch6","name":"Special Materials Used in Aircraft Compositions","source":"crossref","abstract":"","url":"https://doi.org/10.1002/9781394313990.ch6","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-05-23T21:23:03Z","doi":"10.1002/9781394313990.ch6","addedAt":"2026-08-31T06:39:37.645Z","updatedAt":"2026-08-31T06:39:37.645Z"},{"id":"doi:10.1002/9781394313990.ch5","name":"Basic Materials Used in Aircraft Construction","source":"crossref","abstract":"","url":"https://doi.org/10.1002/9781394313990.ch5","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-05-23T21:23:03Z","doi":"10.1002/9781394313990.ch5","addedAt":"2026-08-31T06:39:37.645Z","updatedAt":"2026-08-31T06:39:37.645Z"},{"id":"doi:10.2514/1.c038080","name":"Aircraft Parameter Estimation Considering Process and Measurement Noise","source":"crossref","abstract":"A practical formulation is proposed for aircraft parameter estimation using the filter-error method, which is a maximum likelihood estimator for dynamic systems with both process noise and measurement noise. The novelty of the proposed formulation is that by accurately estimating the measurement noise covariance matrix using a time series analysis method, the remaining unknowns (which include the unknown parameters in the state-space matrices and the process noise covariance matrix) become decorrelated and can be estimated simultaneously in a straightforward manner. The approach is demonstrated using simulation data and flight test data from a subscale airplane. Results indicate that the proposed algorithm can produce accurate modeling results when both measurement noise and process noise are present in the data.","url":"https://doi.org/10.2514/1.c038080","authors":["Jared A. Grauer","Eugene A. Morelli"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-11-14T01:15:07Z","doi":"10.2514/1.c038080","addedAt":"2026-08-31T06:39:37.645Z","updatedAt":"2026-08-31T06:39:37.645Z"},{"id":"doi:10.1109/icca65672.2025.11129722","name":"Control Saturation Analysis of Second-Order Integral System for the Application of eVTOL","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icca65672.2025.11129722","authors":["Jiangcheng Su","Hao Cao","Li Cheng","Juntong Qi","Hailong Huang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-09-02T17:28:56Z","doi":"10.1109/icca65672.2025.11129722","addedAt":"2026-08-31T06:39:37.645Z","updatedAt":"2026-08-31T06:39:37.645Z"},{"id":"doi:10.1007/978-981-96-4599-2_18","name":"Aircraft Power Plant Design","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-981-96-4599-2_18","authors":["Nikolai K. Liseitsev"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-08-31T15:17:38Z","doi":"10.1007/978-981-96-4599-2_18","addedAt":"2026-08-31T06:39:37.645Z","updatedAt":"2026-08-31T06:39:37.645Z"},{"id":"doi:10.2514/1.c038159","name":"Comprehensive Review of Design and Performance Metrics in Three-Surface Aircraft","source":"crossref","abstract":"","url":"https://doi.org/10.2514/1.c038159","authors":["Alireza Ghasemzadeh","Afshin Banazadeh"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-04-01T08:39:23Z","doi":"10.2514/1.c038159","addedAt":"2026-08-31T06:39:37.645Z","updatedAt":"2026-08-31T06:39:39.325Z"},{"id":"doi:10.1149/ma2025-023539mtgabs","name":"Distinct Dynamics of Lithium Intercalation and Plating on Graphite Anode of Li-Ion Batteries for eVTOL Applications","source":"crossref","abstract":"Electrifying air mobility is a major move toward cleaner, more efficient transportation. Li-ion batteries are poised to play a crucial role in achieving this goal by powering the electric vertical take-off and landing (eVTOL) platforms 1, 2 . Unlike Li-ion batteries used in electric vehicles and portable electronics, eVTOL battery systems experience unique operational loads, which necessitates an independent assessment of battery materials degredation mechanisms. In this presentation, we discuss one such case by focusing on the evolution of graphite anode that is subjected to cycling protocols of an eVTOL platform. Li-ion batteries are intermittently discharged between high-power and high-energy segments to accommodate the unique operational pattern of an eVTOL 3 . We find that such cycling leads to the entrapment of Li-ions on the graphite particles, likely due to the incomplete Li deintercalation during the high-power discharge events that are typical of eVTOL take-off and landing operations. Entrapped Li reduces the capacity that can be delivered through Li (de)intercalation and, over time, promotes Li plating. Current understanding of Li plating on graphite anode cannot fully explain this behavior, as it is commonly believed to take place at high charging rates due to factors such as concentration polarization and reaction overpotential 4 . Therefore, this study demonstrates the exceptional degradation pathway of battery materials for this application, highlighting the need for considering realistic load profiles of eVTOLs to study battery materials evolution. Acknowledgement This research at Oak Ridge National Laboratory, managed by UT Battelle, LLC, for the US Department of Energy under contract DE-AC05-00OR22725, was sponsored by the US Army DEVCOM Army Research Laboratory and was accomplished under Support Agreement 2371-Z469-22. The views and conclusions contained in this document are those of the authors and should not be interpreted as representing the official policies, either expressed or implied, of the DEVCOM Army Research Laboratory or the U.S. Government. Rahman would also like to acknowledge the support from the Laboratory Directed Research and Development Program at Oak Ridge National Laboratory. References M. Dixit, A. Bisht, R. Essehli, R. Amin, C.-B. M. Kweon, and I. Belharouak, ACS Energy Lett. , 9 , 934 (2024). X.-G. Yang, T. Liu, S. Ge, E. Rountree, and C.-Y. Wang, Joule , 5 , 1644 (2021). M. Dixit, A. Bisht, B. Witherspoon, R. Essehli, R. Amin, A. Duncan, J. Hines, C. B. M. Kweon, and I. Belharouak, Advanced Energy Materials , 14 , 2400772 (2024). X. Lu, M. Lagnoni, A. Bertei, S. Das, R. E. Owen, Q. Li, K. O’Regan, A. Wade, D. P. Finegan, and E. Kendrick, Nat. Commun. , 14 , 5127 (2023).","url":"https://doi.org/10.1149/ma2025-023539mtgabs","authors":["Muhammad Mominur Rahman","Ruhul Amin","Ali Abouimrane","Ilias Belharouak"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-11-24T07:48:08Z","doi":"10.1149/ma2025-023539mtgabs","addedAt":"2026-08-31T06:39:37.645Z","updatedAt":"2026-08-31T06:39:37.645Z"},{"id":"doi:10.1007/978-981-96-4599-2_5","name":"Determination of Aircraft Design Parameters","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-981-96-4599-2_5","authors":["Nikolai K. Liseitsev"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-08-31T15:17:33Z","doi":"10.1007/978-981-96-4599-2_5","addedAt":"2026-08-31T06:39:37.645Z","updatedAt":"2026-08-31T06:39:37.645Z"},{"id":"doi:10.1109/tasc.2025.3537066","name":"A Novel Topology With the Combination of Superconducting Magnet and Permanent Magnet for the Propulsion Motor of eVTOL Aircraft","source":"crossref","abstract":"","url":"https://doi.org/10.1109/tasc.2025.3537066","authors":["Xinhong Gao","Yuanzhi Zhang","Haiyang Fang","Dawei Li","Yi Cheng","Ronghai Qu"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-02-13T18:50:33Z","doi":"10.1109/tasc.2025.3537066","addedAt":"2026-08-31T06:39:37.645Z","updatedAt":"2026-08-31T06:39:37.645Z"},{"id":"doi:10.2514/1.c035961","name":"Conceptual Design of Aircraft System Routing Architectures Using a Bio-Inspired Algorithm","source":"crossref","abstract":"The increasing complexity of aircraft systems and the shift toward electrical aircraft are driving the introduction of entirely new concepts in aircraft systems and airframe design; it is therefore likely that the evaluation of aircraft systems and their integration with the airframe in the conceptual design phase will play an ever more crucial role in determining the feasibility of a newly proposed aircraft. This paper proposes a bio-inspired design algorithm for allocating space within the airframe to interconnections that supply aircraft systems. The proposed method is an adaptation of an existing pathfinding algorithm, with a novel mechanism to avoid overlap between systems that require segregation. The input required for the proposed method is likely to be available at the conceptual design phase. A detailed description of the proposed method is given, followed by a demonstration using a design problem based on an existing aircraft. Results of the demonstration show that the proposed method is capable of handling redundant systems and their segregation by reducing the overlap between different systems.","url":"https://doi.org/10.2514/1.c035961","authors":["Jumpei Taneich","Kenichi Rinoie"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-12-17T14:51:41Z","doi":"10.2514/1.c035961","addedAt":"2026-08-31T06:39:37.645Z","updatedAt":"2026-08-31T06:39:37.645Z"},{"id":"doi:10.21741/9781644904251-59","name":"Vibration and Noise Analyses of eVTOL Tilting Propeller with Different Anhedral Angles in Low-Speed Flight","source":"crossref","abstract":"Abstract. In this study, a notional eVTOL tiltrotor model is developed and analyzed using the rotorcraft comprehensive analysis code, CAMRAD II, to investigate the effects of blade tip anhedral angles (Γ = 0°, 15°, and 25°) on hover performance, rotor hub vibratory loads, and BVI noise at a low-speed descending flight condition (CT/σ=0.107, μ=0.15, and αs=+6°). For the hover performance the model with Γ=25° showed a 1.54% lower rotor power than the baseline model with Γ=0°. In the low-speed descend flight, the model with Γ=25° reduces hub Vibration Index (VI) by 21.24% compared to the baseline model. Furthermore, BVI noise is predicted using the CII-Sound code based on the FW-H equation, the baseline result shows a maximum BVI noise of 91.3dB, the case with Γ=25° yields the BVISPL of 88.7dB, a 2.62dB reduction compare to the baseline value","url":"https://doi.org/10.21741/9781644904251-59","authors":["Gi-Jeong Park"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-07-09T16:00:12Z","doi":"10.21741/9781644904251-59","addedAt":"2026-08-31T06:39:37.645Z","updatedAt":"2026-08-31T06:39:39.047Z"},{"id":"doi:10.1177/1475472x251382214","name":"Induced flow measurements and analytical tonal noise predictions for a sub-scale eVTOL rotor","source":"crossref","abstract":"Tonal acoustic predictions of a fixed pitch rotor in edgewise flight are developed based on rotor inflow measurements. The induced velocity of a fixed-pitch rotor in hover and edgewise flight was measured with stereoscopic particle image velocimetry (sPIV) in an anechoic wind tunnel. The edgewise flight measurements covered advance ratios ranging from 0.065 to 0.268. The ensemble averaged sPIV measurements showed that an increase in advance ratio led to a skewing of the maximum induced velocity towards the advancing side of the rotor and an increased area of upwash velocity at the front of the rotor disk. The measured mean velocity field was combined with blade element theory and Sears Unsteady Airfoil Theory to estimate the unsteady blade forces, which were used in analytical tonal noise predictions. The predictions were on average within 5 dB of measured sound pressure levels at the rotor blade passage frequency.","url":"https://doi.org/10.1177/1475472x251382214","authors":["James Goldschmidt","Lawrence Ukeiley"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-09-30T05:42:37Z","doi":"10.1177/1475472x251382214","addedAt":"2026-08-31T06:39:37.645Z","updatedAt":"2026-08-31T06:39:37.645Z"},{"id":"doi:10.1109/imcec66174.2025.11332054","name":"A Power-Following Energy Management Strategy for Hydrogen-Electric Hybrid eVTOL","source":"crossref","abstract":"","url":"https://doi.org/10.1109/imcec66174.2025.11332054","authors":["Qi Pengfei","Li Yong","Zhang Kaixuan","Chen Sheng","Zhao Lilong"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-01-20T20:37:18Z","doi":"10.1109/imcec66174.2025.11332054","addedAt":"2026-08-31T06:39:37.645Z","updatedAt":"2026-08-31T06:39:37.645Z"},{"id":"doi:10.18535/ijsrm/v13i06.ec09","name":"Hybrid Renewable Power Integration (Solar+Wind+Thermal+Microwave + Fuel Cell) in eVTOL and Satellites","source":"crossref","abstract":"This research explores the intelligent integration and optimal scheduling of hybrid renewable energy sources—solar, wind, thermal, microwave, and fuel cell—for electric vertical take-off and landing (eVTOL) aircraft and satellite systems. With growing interest from organizations such as NASA, the Canadian Space Agency (CSA), Bombardier, and Boeing, the demand for weight-efficient, AI-driven energy autonomy has become critical. Leveraging cutting-edge deep learning architectures including deep reinforcement learning, federated learning, and neural combinatorial optimization, this study proposes a unified model to enhance the energy efficiency of solar-powered UAVs, wind-harvesting aerial vehicles, and deep-space exploration platforms. Our methodology is grounded in an in-depth review and synthesis of the most recent and impactful research (2020–2024) across IEEE and related peer-reviewed journals, including ten key papers that span energy optimization, trajectory scheduling, federated UAV learning, and hybrid microgrid control.","url":"https://doi.org/10.18535/ijsrm/v13i06.ec09","authors":["Adnan Haider Zaidi"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-06-24T18:09:12Z","doi":"10.18535/ijsrm/v13i06.ec09","addedAt":"2026-08-31T06:39:37.645Z","updatedAt":"2026-08-31T06:39:37.645Z"},{"id":"doi:10.1109/icmi65310.2025.11141241","name":"Key-Based Authentication Scheme for Evtol Drones Using Chebyshev Chaotic Maps","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icmi65310.2025.11141241","authors":["Eduardo Hernandez Escobar","Muhammad Zain Chaudhary","Hosameldin Darwish","Ahmed Sherif","Mohamed Elsersy","Kasem Khalil"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-09-08T17:38:33Z","doi":"10.1109/icmi65310.2025.11141241","addedAt":"2026-08-31T06:39:37.645Z","updatedAt":"2026-08-31T06:39:37.645Z"},{"id":"doi:10.1109/naps66256.2025.11272278","name":"A Model for the Scheduling of Commercial eVTOL Flights Considering Grid Restrictions","source":"crossref","abstract":"","url":"https://doi.org/10.1109/naps66256.2025.11272278","authors":["Eduardo Castillo Fatule","Fengyu Wang","Di Shi","Zhenping Guo","Kai Sun","Liang Sun"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-12-09T18:31:53Z","doi":"10.1109/naps66256.2025.11272278","addedAt":"2026-08-31T06:39:37.645Z","updatedAt":"2026-08-31T06:39:37.645Z"},{"id":"doi:10.2514/1.c038107","name":"Two-Dimensional Static Margin for Three-Dimensional Aircraft","source":"crossref","abstract":"","url":"https://doi.org/10.2514/1.c038107","authors":["David K. Schmidt","Derek Lisoski","Brian P. Danowsky"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-02-20T11:20:51Z","doi":"10.2514/1.c038107","addedAt":"2026-08-31T06:39:37.645Z","updatedAt":"2026-08-31T06:39:37.645Z"},{"id":"doi:10.1016/j.oceaneng.2024.120210","name":"Hydrodynamic performance and maneuverability design for a compound eVTOL configuration based unmanned aerial underwater vehicle","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.oceaneng.2024.120210","authors":["Hangyu Zhou","Zhaoyu Wei","Weiqiang Hu"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-01-02T06:28:02Z","doi":"10.1016/j.oceaneng.2024.120210","addedAt":"2026-08-31T06:39:37.645Z","updatedAt":"2026-08-31T06:39:37.645Z"},{"id":"doi:10.4050/f-0081-2025-218","name":"Simulation-Based Evaluation of Motor Failure Resilience in a Prototyped Multirotor eVTOL","source":"crossref","abstract":"This study investigates the fault tolerance of a large-scale coaxial quadrotor Electric Vertical Takeoff and Landing (eVTOL) under motor failure through high-fidelity software-in-the-loop (SIL) simulations using PX4-Gazebo environment. The objective is to evaluate the vehicle's ability to maintain flight stability and complete critical missions under various propulsion failure scenarios, without the control system being explicitly aware of which motors have failed. Four motor failure cases-single, two adjacent, two diagonally opposite, and three distributed motor failures-were introduced during takeoff, hover, cruise, and hover under crosswind missions. Results show that the eVTOL maintained controllability and mission completion under all scenarios, with increasing levels of performance degradation under more severe failures. Notably, considerable yaw instabilities of about 10 degrees occurred under two diagonally opposite motor failures. The highest thrust demands after motor failures were observed during cruise mission, with some motors demanding about 80% to 90% of their maximum throttle. Hover under crosswind revealed compounded challenges in attitude control during descent under severe failure cases compared to calm weather. These findings underscore the robustness of the integrated control system and vehicle configuration in managing motor failure scenarios.","url":"https://doi.org/10.4050/f-0081-2025-218","authors":["Mostafa Asadi Khanouki","Younes Sadat-Nejad","Nima Pourmostaghimi"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-07-02T17:29:17Z","doi":"10.4050/f-0081-2025-218","addedAt":"2026-08-31T06:39:37.645Z","updatedAt":"2026-08-31T06:39:37.645Z"},{"id":"doi:10.58286/31055","name":"A data-driven method for aircraft static strength test anomaly recognition","source":"crossref","abstract":"The strain data from the static strength test of the aircraft is the correct response to the structure bearing deformation. Real-time monitoring and fast analysis of strain data is an important factor. In this paper, we propose a data-driven approach for aircraft static intensity test anomaly identification in order to address the problems of large aircraft strain gauge numbers, weak data interference resistance, and low manual detection efficiency. First, the regression equations are constructed based on the five points of the test data, and the predicted values of the remaining test data are obtained by the regression equations. The residual analysis is then performed with the actual values measured by the strain gauge and the residuals are calculated using the standard method. Finally, machine learning models are used to discriminate between binary anomalies. By comparing the classification effect of SVM and random forest algorithm, it is found that both algorithms achieve high accuracy, reaching 92% anomaly recognition accuracy. This approach has great engineering applications in real-time monitoring and early warning of static intensity tests of aircraft.","url":"https://doi.org/10.58286/31055","authors":["Jiaojiao Chen","Chang Liang","Xiaohua Nie"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-04-23T14:28:51Z","doi":"10.58286/31055","addedAt":"2026-08-31T06:39:37.645Z","updatedAt":"2026-08-31T06:39:37.645Z"},{"id":"doi:10.2514/1.c038005","name":"Energy-Harvesting Performance of an Aircraft Propeller","source":"crossref","abstract":"The electrification of aircraft is strongly coupled with the use of propellers as a propulsion system because of their high efficiency and their convenient integration with electric motors. Due to the operational flexibility of electric motors, the propeller can also be used in alternative operations, such as negative thrust and power mode. By operating the propeller at negative inflow angles at the blade segments, the torque and thrust are in the opposite direction compared to the conventional positive thrust conditions. This can be useful for control purposes or for energy harvesting. An experimental investigation was carried out to explain the physics behind the aerodynamic performance of a propeller at both positive thrust and energy-harvesting operation. Next to the measured integrated forces and moments on the propeller, stereoscopic particle image velocimetry was used to analyze the flowfield around the blades as well as the slipstream behind the propeller disk to identify the dominating flow phenomena that drive the energy-harvesting operation. The highly cambered blade sections for this typical aircraft propeller do not operate efficiently in energy-harvesting mode due to the associated negative angles of attack. The thin tip blade sections experience separated flow in these conditions, reducing the useful output power, compared to wind turbines, which feature opposite camber. To maximize the output power in the energy-harvesting conditions, a low pitch setting is required in combination with a relatively high advance ratio. However, this also comes at a cost of large negative thrust (drag) values.","url":"https://doi.org/10.2514/1.c038005","authors":["Robert Nederlof","Daniele Ragni","Tomas Sinnige"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-03-10T07:51:06Z","doi":"10.2514/1.c038005","addedAt":"2026-08-31T06:39:37.645Z","updatedAt":"2026-08-31T06:39:37.645Z"},{"id":"doi:10.4050/f-0081-2025-0172","name":"Noise of a Propeller Designed for eVTOL Operations in Forward and Edgewise Flight","source":"crossref","abstract":"The performance and acoustics of a scaled propeller designed for an eVTOL vehicle were investigated in axial and edgewise flight. The measured performance compared well with BEMT predictions in axial flight conditions. The noise produced by the propeller is dominated by broadband noise sources, where there is evidence of contributions from blade wake interaction noise, turbulent boundary layer trailing edge noise, and laminar boundary layer vortex shedding noise. The directivity of the noise was found to be dependent on the advance ratio. Beamform maps also identified changes in the dominant noise source at different observer locations as a function of advance ratio.","url":"https://doi.org/10.4050/f-0081-2025-0172","authors":["Szu-Fu Huang","Shreyas Chaware","Ryan Lundquist","Nanyaporn Intaratep","William Alexander"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-04-10T16:56:52Z","doi":"10.4050/f-0081-2025-0172","addedAt":"2026-08-31T06:39:37.645Z","updatedAt":"2026-08-31T06:39:37.645Z"},{"id":"doi:10.1201/9781003616214-2","name":"Commercial Aircraft","source":"crossref","abstract":"","url":"https://doi.org/10.1201/9781003616214-2","authors":["Scott Jackson"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-05-15T13:31:32Z","doi":"10.1201/9781003616214-2","addedAt":"2026-08-31T06:39:37.645Z","updatedAt":"2026-08-31T06:39:37.645Z"},{"id":"doi:10.4050/f-0081-2025-0043","name":"Dynamic Drop Testing of eVTOL Energy Storage Systems Part 2: Deformation and Post-Test Forensics Results","source":"crossref","abstract":"Researchers at the National Aeronautics and Space Administration (NASA) have conducted a series of module-level 50-ft dynamic drop tests on electric Vertical Take-off and Landing (eVTOL) Energy Storage Systems (ESS) for the generation of dynamic impact data to support standards developments. The tests were conducted on zero-state-of-charge Electric Power Systems (EPS) Electric Propulsion Ion Core (EPIC) modules at the National Institute for Aviation Research (NIAR), utilizing the NIAR outdoor drop test setup and conducted by NIAR test personnel. Four total tests were conducted on modules oriented in four different orientations. During initial post-test inspections at the drop facility, it was observed that the modules experienced varying amounts of damage in various locations and forms. The damage was quantified to the maximum extent possible via photogrammetric methods such as digital image correlation and marker tracking. Post-test modules were then disassembled, and forensics were conducted, which involved inspections into various containment structures and the cells themselves. A scoring rubric was developed in order to utilize a common methodology to quantitatively assess the damage incurred into each module as way of determining the least and most amount of damage present. Results in the form of post-test inspections, digital image correlation deformations, and scoring rubric values will be all presented, along with proposed paths forward for future work.","url":"https://doi.org/10.4050/f-0081-2025-0043","authors":["Shay Ellafrits","Nathaniel Gardner","Justin Littell"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-04-10T16:56:52Z","doi":"10.4050/f-0081-2025-0043","addedAt":"2026-08-31T06:39:37.645Z","updatedAt":"2026-08-31T06:39:37.645Z"},{"id":"doi:10.2514/6.2025-1288","name":"Aircraft Geometry and Propulsion Architecture Visualization for the Future Aircraft Sizing Tool (FAST)","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2025-1288","authors":["Nawa Khailany","Paul Mokotoff","Gokcin Cinar"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-02-12T09:44:16Z","doi":"10.2514/6.2025-1288","addedAt":"2026-08-31T06:39:37.645Z","updatedAt":"2026-08-31T06:39:37.645Z"},{"id":"doi:10.1007/978-981-96-4599-2_6","name":"About Aircraft Weight Analysis (Weight Design)","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-981-96-4599-2_6","authors":["Nikolai K. Liseitsev"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-08-31T15:17:35Z","doi":"10.1007/978-981-96-4599-2_6","addedAt":"2026-08-31T06:39:37.645Z","updatedAt":"2026-08-31T06:39:37.645Z"},{"id":"doi:10.1109/ciycee67631.2025.11309228","name":"A Semi-Analytical Multi-Objective Optimization of Outer-Rotor PM Machines for eVTOL Propulsion Systems","source":"crossref","abstract":"","url":"https://doi.org/10.1109/ciycee67631.2025.11309228","authors":["Zhe Guo","Xinggang Fan","Yongze Miao","Dawei Li","Yuheng Zou","Qi Chu","Ronghai Qu"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-12-30T18:35:19Z","doi":"10.1109/ciycee67631.2025.11309228","addedAt":"2026-08-31T06:39:37.645Z","updatedAt":"2026-08-31T06:39:37.645Z"},{"id":"doi:10.1016/j.ast.2025.110212","name":"Active vibration control method based on rotor speed modulation for eVTOL","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.ast.2025.110212","authors":["Kai Guan","Yang Lu","Changtian Wang","Jinru Chen"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-04-11T07:03:28Z","doi":"10.1016/j.ast.2025.110212","addedAt":"2026-08-31T06:39:37.645Z","updatedAt":"2026-08-31T06:39:37.645Z"},{"id":"doi:10.4050/f-0081-2025-0062","name":"Aerodynamic Analysis of Stopped and Stopping Rotors in Lift+Cruise eVTOL Configurations","source":"crossref","abstract":"This study investigates the aerodynamic behavior of lift rotors in a representative lift+cruise electric vertical takeoff and landing (eVTOL) configuration using high-fidelity Computational Fluid Dynamics (CFD) simulations. As lift+cruise concepts gain prominence for Urban Air Mobility (UAM) applications due to their operational simplicity, flight performance, and reduced cruise noise, a detailed understanding of rotor aerodynamics during transition and cruise is critical. CFD analysis was conducted for both slowed rotors at high advance ratios and fully stopped rotors, where traditional predictive tools become inaccurate. Results show that lift rotors operating at advance ratios approaching three exhibit quasi-steady behavior similar to stopped rotors. The influence of rotor lock orientation on aerodynamic loads was characterized, with a freestream-aligned lock angle minimizing drag and asymmetry. A rotor hub fairing was found to reduce blade root separation and drag, though at the cost of slightly increased hub moments. The sensitivity of axial loads to vehicle pitch angle was quantified, highlighting the need to account for effective angle of attack in cruise load predictions. These findings inform future modeling strategies, control system design, and airframe integration for advanced eVTOL vehicles concepts.","url":"https://doi.org/10.4050/f-0081-2025-0062","authors":["Koushik Marepally","James Baeder","Zoren Habana","Jan Goericke","Ryan Plumley"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-04-10T16:56:52Z","doi":"10.4050/f-0081-2025-0062","addedAt":"2026-08-31T06:39:37.645Z","updatedAt":"2026-08-31T06:39:37.645Z"},{"id":"doi:10.1016/j.ast.2025.110475","name":"Experimental investigation of vortex ring state in an eVTOL propeller","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.ast.2025.110475","authors":["Alberto Savino","Andrea Gianotti","Giovanni Droandi","Mike Kerho","Alex Zanotti"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-06-13T12:03:27Z","doi":"10.1016/j.ast.2025.110475","addedAt":"2026-08-31T06:39:37.645Z","updatedAt":"2026-08-31T06:39:37.645Z"},{"id":"doi:10.1109/iceiom65271.2025.11239546","name":"A Physical-Data Hybrid Method of Multi-Fault Diagnosis for eVTOL Under Closed-Loop Control","source":"crossref","abstract":"","url":"https://doi.org/10.1109/iceiom65271.2025.11239546","authors":["Han Wang","Xin Wang","Danyang Han"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-11-19T18:43:08Z","doi":"10.1109/iceiom65271.2025.11239546","addedAt":"2026-08-31T06:39:37.645Z","updatedAt":"2026-08-31T06:39:37.645Z"},{"id":"doi:10.4337/9781035329588.00012","name":"Taking unsustainability to new heights: eVTOL and the disasters to come","source":"crossref","abstract":"","url":"https://doi.org/10.4337/9781035329588.00012","authors":["Peter E. Wells"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-01-17T13:01:18Z","doi":"10.4337/9781035329588.00012","addedAt":"2026-08-31T06:39:37.645Z","updatedAt":"2026-08-31T06:39:37.645Z"},{"id":"doi:10.2514/1.c038181","name":"Aerodynamic Design of Shock Control Bumps on an Aircraft Considering Structural Constraints","source":"crossref","abstract":"Shock control bumps can reduce the overall drag of a modern transport aircraft by reducing the wave drag. In this study, different shapes of static shock control bumps on a laminar wing are aerodynamically analyzed using numerical tools. This design study introduces a novel approach by using structurally feasible shapes constrained to the spoiler positions. This ensures feasible realization possibilities in the future. The robustness, drag reduction in off-design condition, is increased by reducing the overall height of the bump. This robust version of the bump is then implemented on a three-dimensional wing geometry of a modern transport aircraft on up to four spoilers. It is shown that the drag reduction potential varies linearly with the bump width in the investigated range of spoiler extensions. Over a wide range of lift coefficients, the bump robustly reduces drag by up to 2%. Estimated fuel savings of up to 1000 kg can be derived for a flight mission of 9000 km for a long-range wide-body aircraft at cruise conditions of [Formula: see text].","url":"https://doi.org/10.2514/1.c038181","authors":["Andreas Goerttler"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-05-19T08:17:31Z","doi":"10.2514/1.c038181","addedAt":"2026-08-31T06:39:37.645Z","updatedAt":"2026-08-31T06:39:37.645Z"},{"id":"doi:10.4050/jahs.70.032003","name":"Study of Advanced Occupant Models to Quantify Injury Risk for eVTOL Vehicles","source":"crossref","abstract":"Urban transportation is currently evolving from traditional ground-based vehicles to include air-based electric vertical take-off and landing (eVTOL) vehicles. These new eVTOL vehicles are designed to be small, lightweight, and eventually autonomously operable without user intervention. Anthropomorphic test devices (ATDs) are used in aerospace crashworthiness standards to quantify occupant injury risk and develop improved safety designs for emergency landing situations, despite their development many decades ago. ATD technology has continued to evolve, leading to a host of newer and more biofidelic ATDs, such as the test device for human occupant restraint (THOR). Increased computing power has also allowed for detailed computational human body models (HBMs) to be created, such as the Global Human Body Model Consortium (GHBMC). This study aims to assess the capability of both GHBMC and new ATD designs to identify injury mechanisms within eVTOL-relevant emergency landing conditions. Finite element analyses, using GHBMC, HBM, and THOR ATD models, were used to expand upon full-vehicle and seat-level impact testing to look at the effects of occupant model configurations on injury prediction. Of these test conditions, four crash pulses were implemented to a rigid seat, with two of those also being implemented in a generic composite seat and a NASA-designed energy-absorbing seat. Further exploration was performed by altering the position of the GHBMC into a relaxed and upright position. As expected, the GHBMC models are much more deformable than the ATDs and exhibit a higher distribution of forces and increased sensitivity to the duration of acceleration pulses. Both occupant models incorporated into this study identified key mechanisms for injury that should be considered for passenger safety in the development of these novel aircraft. In addition, this study demonstrated the value of FE modeling for running a variety of complex human surrogate impact simulations to identify potential injury mechanisms for consideration in the regulation and development of new aircraft. Continued research in this field to validate these models will lead to safer aircraft and more comprehensive safety measures.","url":"https://doi.org/10.4050/jahs.70.032003","authors":["Nathaniel  L. Jones","Jacob Putnam","Costin Untaroiu"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-06-24T01:05:50Z","doi":"10.4050/jahs.70.032003","addedAt":"2026-08-31T06:39:37.645Z","updatedAt":"2026-08-31T06:39:37.645Z"},{"id":"doi:10.1115/gt2025-153304","name":"Flow Distortion in a Small Unmanned Aircraft Boundary Layer Ingestion Inlet","source":"crossref","abstract":"Abstract This paper presents a flow distortion study for a small, unmanned aircraft engine inlet that ingests fuselage boundary layer flow at low subsonic speeds. Recent efforts to reduce commercial transport aircraft drag at high subsonic speeds include embedding an aft-mounted engine to reduce momentum deficit in the fuselage boundary layer and wake, consequently reducing fuel consumption. Embedded engines at low subsonic speeds may also provide substantial performance improvements by generating thrust with low-momentum boundary layer flow and filling the aircraft wake with engine exhaust; however, the propulsion system must operate effectively in a distorted flow field. To characterize expected distortion, a wind tunnel test article was designed and fabricated with a notional boundary layer ingestion inlet having a 1.25:1 area contraction ratio, 10-inch exit diameter and duct geometry based on the National Advisory Committee for Aeronautics (NACA) 0012 airfoil. The exit diameter is characteristic of typical electric ducted fans used with unmanned aircraft applications. Experiments were conducted in a low-subsonic wind tunnel with a traverse-mounted pitot-static probe to measure dynamic pressure downstream from the inlet entrance at local Reynolds numbers from 1 to 3 million. Results show up to 1.67% circumferential distortion intensity, and velocity contour plots reveal over 15% velocity deficit for a significant portion of the inlet lower surface that could have crucial implications for fan operability. Observations from this study provide new knowledge for designers of emerging unmanned aircraft with inlets embedded in the aft section of a fuselage, motivating methods to reduce operability concerns associated with the propulsor.","url":"https://doi.org/10.1115/gt2025-153304","authors":["Tyler Zimbelman","Kurt Rouser"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-08-11T14:09:08Z","doi":"10.1115/gt2025-153304","addedAt":"2026-08-31T06:39:37.645Z","updatedAt":"2026-08-31T06:39:37.645Z"},{"id":"doi:10.4050/f-0081-2025-0151","name":"Flight Dynamics and Control Analysis for Motor Sizing and Failure Accommodation for a Lift+Cruise eVTOL Near Hover","source":"crossref","abstract":"This paper demonstrates methods of aircraft sizing, flight dynamics modeling, and performance analysis using a lift+cruise concept vehicle with an electric powertrain and variable-speed rotors. The central focus is the development of methods to relate the aircraft design sizing constraints to achievable maneuverability and predicted handling qualities. A toolchain is demonstrated that performs aircraft sizing, mass moment of inertia estimation, powertrain modeling, trim optimization, dynamics linearization, handling qualities prediction, and quantification of achievable maneuverability under both nominal conditions and control effector failures. A convex optimization problem framework is introduced to compute agility bound estimates without requiring control system design or control allocation, potentially supporting rapid design iteration as well as early detection of deficiencies and undesirable operating conditions. This analysis is supplemented with more conventional methods of analysis to provide additional perspective and observations. Overall, the results suggest that each modeling and analysis element in the demonstrated toolchain adds significant value, with the combined approach supporting a more efficient and comprehensive exploration of trade-offs within the design space.","url":"https://doi.org/10.4050/f-0081-2025-0151","authors":["David Hartman","Peter Suh","George Altamirano"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-04-10T16:56:52Z","doi":"10.4050/f-0081-2025-0151","addedAt":"2026-08-31T06:39:37.645Z","updatedAt":"2026-08-31T06:39:37.645Z"},{"id":"doi:10.1016/j.jclepro.2025.145027","name":"Comparative economic, energy, and environmental analysis of fuel cell and electric eVTOL systems: Case study of Iberian Peninsula","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.jclepro.2025.145027","authors":["Néstor Velaz-Acera","Rodrigo Ruiz-Marín","David Borge-Diez"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-02-15T22:06:56Z","doi":"10.1016/j.jclepro.2025.145027","addedAt":"2026-08-31T06:39:37.645Z","updatedAt":"2026-08-31T06:39:37.645Z"},{"id":"doi:10.1007/978-981-96-4599-2_2","name":"Theoretical and Methodological Foundations of Aircraft Design","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-981-96-4599-2_2","authors":["Nikolai K. Liseitsev"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-08-31T15:17:36Z","doi":"10.1007/978-981-96-4599-2_2","addedAt":"2026-08-31T06:39:37.645Z","updatedAt":"2026-08-31T06:39:37.645Z"},{"id":"doi:10.4050/f-0081-2025-0309","name":"Experimental and Computational Evaluation of Particle Impact Dampers in Multi-Mode Passive Vibration Control of eVTOL Support Arms","source":"crossref","abstract":"Electric vertical takeoff and landing aircraft (eVTOL) have swiftly risen to prominence since the early 2000's due to their potential to serve as a sustainable and scalable improvement in urban air mobility. In edgewise forward flight, these aircraft can experience significant time-varying aerodynamic loads due to being variable RPM vehicles. Their fuselage, booms and auxiliary lifting surfaces are often very lightly damped, lightweight and highly stiff. Thus, multiple bending and torsional modes of vibration can be excited and result in unacceptably high stress levels. Particle impact dampers (PIDs) are an attractive vibration mitigation strategy as they can target more than one mode of vibration. The potential use of a PID to target a bending mode of vibration is experimentally and numerically studied within this work. Experimental forced response analysis shows a 53% attenuation in amplitude of vibrations at the cost of a 5% mass penalty. A reduced order model was developed in order to allow users to parametrically study the damper performance as a function of a variety of inputs. Initial numerical simulations of this reduced-order model show behavior observed in the experimental arrangement. Model parameters are set to match laboratory values, and agreement is found with experimental results. This publication, in tandem with the work presented at the Vertical Flight Society's 80th Annual Forum, by the same authors, sheds light on the potential multi-mode damping capacities of these devices.","url":"https://doi.org/10.4050/f-0081-2025-0309","authors":["Siddhant Sandeep Bapat","Edward Smith","Nicholas Vlajic"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-04-10T16:56:52Z","doi":"10.4050/f-0081-2025-0309","addedAt":"2026-08-31T06:39:37.645Z","updatedAt":"2026-08-31T06:39:37.645Z"},{"id":"doi:10.1108/aeat-09-2025-401","name":"Editorial: Research and education in aircraft design","source":"crossref","abstract":"","url":"https://doi.org/10.1108/aeat-09-2025-401","authors":["Tomasz Goetzendorf-Grabowski"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-10-30T07:49:18Z","doi":"10.1108/aeat-09-2025-401","addedAt":"2026-08-31T06:39:37.645Z","updatedAt":"2026-08-31T06:39:37.645Z"},{"id":"doi:10.4050/sm_sym_2025-5450","name":"Electric Aircraft Charging Evolution Lessons from Automotive Charging","source":"crossref","abstract":"Electric Aircraft Charging Evolution Lessons from Automotive Charging","url":"https://doi.org/10.4050/sm_sym_2025-5450","authors":["Joshua Portlock"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-07-21T17:01:11Z","doi":"10.4050/sm_sym_2025-5450","addedAt":"2026-08-31T06:39:37.645Z","updatedAt":"2026-08-31T06:39:37.645Z"},{"id":"doi:10.4050/f-0081-2025-0139","name":"On the Design and Testing of a Full-Scale Quiet and Efficient eVTOL Propeller","source":"crossref","abstract":"This paper describes the design, development, and testing of a full-scale eVTOL propulsor optimized for quiet and efficient operation. To design the propulsor, a design tool was developed for predicting the aerodynamic and acoustic performance of eVTOL propellers and rotors. The design tool consists of an aerodynamic prediction code, AMP (Aerodynamic Modeling of Propulsor), and an acoustics prediction code, OpenCOPTER, coupled with an acoustics propogator, PSU-WOPWOP, which can receive inputs from either an acoustic solver or high-fidelity CFD. The tool was used to design a coaxial eVTOL propulsor, and both subscale and full-scale blades were manufactured. The aerodynamic and acoustic performance of the subscale propulsor was tested in hover and edgewise flight in an anechoic wind tunnel. A custom test stand was developed and used to measure the aerodynamic and acoustic performance of the 8-ft diameter full-scale propeller in hover. The experimental results were used to validate the design tool.","url":"https://doi.org/10.4050/f-0081-2025-0139","authors":["David Coleman","Joseph Heimerl","Atanu Halder","Eric Greenwood","Moble Benedict"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-04-10T16:56:52Z","doi":"10.4050/f-0081-2025-0139","addedAt":"2026-08-31T06:39:37.645Z","updatedAt":"2026-08-31T06:39:37.645Z"},{"id":"doi:10.2478/ttj-2025-0009","name":"Aircraft Pilot Assistance System: Detection of Other Aircraft Using Artificial Neural Networks","source":"crossref","abstract":"Abstract The publication presents a pilot assistance system that is based on video camera frames and uses the developed 3AFPBBYOLO artificial neural network model. The model is able to determine the relative location of other aircraft in the vicinity of an aircraft equipped with this system. Current solutions, the model development process, training, validation, and testing are presented. In the development process, different types of solutions as well as sizes of detection models were tested. In addition, the model inference time with the use of a single-chip mini-computer was examined. The developed model has better values of metrics compared to other solutions. A number of tests were conducted both using a ground station and actual use of the system in flight. The tests conducted using the ground station and the auxiliary hyper-inference algorithm showed that the effective distance from which the model is able to detect an aircraft is 705.09 m. At a fixed distance, the model’s effectiveness is 90.14%. In the flight test using the auxiliary tracking algorithm, the model’s effectiveness was 100%. The developed model is capable of real-time inference.","url":"https://doi.org/10.2478/ttj-2025-0009","authors":["Paweł Tomiło"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-04-17T15:00:47Z","doi":"10.2478/ttj-2025-0009","addedAt":"2026-08-31T06:39:37.645Z","updatedAt":"2026-08-31T06:39:37.645Z"},{"id":"doi:10.1109/icuas65942.2025","name":"2025 International Conference on Unmanned Aircraft Systems (ICUAS)","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icuas65942.2025","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-05-27T17:08:30Z","doi":"10.1109/icuas65942.2025","addedAt":"2026-08-31T06:39:37.645Z","updatedAt":"2026-08-31T06:39:37.645Z"},{"id":"doi:10.2514/1.c038083","name":"Ground Vibration Testing of Very Flexible Aircraft","source":"crossref","abstract":"As aircraft become more flexible in an effort to improve efficiency to reduce fuel consumption and operating costs and improve endurance, structural nonlinearities become more apparent. As a consequence, testing practices that are well established and mature for traditional, relatively rigid aircraft need to be re-examined. Modal characterization of very flexible aircraft through ground vibration testing is challenging due to geometric nonlinearities and very low natural vibration frequencies (typically below 1 Hz). Geometric nonlinearities make the aircraft modal parameters a function of the deformed shape and, therefore, of the applied loads. The low natural vibration frequencies make the support system influence even more difficult to eliminate. This study investigates the computational and experimental techniques required to conduct a ground vibration test on a very flexible aircraft. The finite element model of the aircraft is then updated using a model updating methodology that accounts for large deflections and flexibility of the test structure. A validation of the ground vibration testing and finite element model updating methodologies is then performed on the very flexible aircraft. Results indicate that the updated finite element model of the aircraft is able to accurately capture the free-flight response of the as-built, very flexible aircraft structure.","url":"https://doi.org/10.2514/1.c038083","authors":["Bilal Sharqi","Carlos E. S. Cesnik"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-07-31T11:12:22Z","doi":"10.2514/1.c038083","addedAt":"2026-08-31T06:39:37.645Z","updatedAt":"2026-08-31T06:39:37.645Z"},{"id":"doi:10.1088/1742-6596/3079/1/012055","name":"Inter-turn short circuit fault diagnosis methods for eVTOL propulsion motor based on back EMF harmonic analysis","source":"crossref","abstract":"Abstract The faulty degree assessment and faulty phase detection method of eVTOL propulsion motors Inter-Turn Short-Circuit (ITSC) are proposed in this paper based on the back electromotive force (back EMF) characteristics. A sliding mode observer (SMO) is utilized to dynamically monitor dq -axis back-EMF variations caused by ITSC faults. Faulty severity quantification is performed through second harmonic component analysis, while faulty phase identification is achieved by characterizing residual signals in the abc -axis back-EMF framework. The mathematical relationship between the rotational speed and the faulty degree evaluation indicator is established to overcome the limitation of the traditional method under variable rotational speed conditions, thereby enhancing the engineering applicability of the method is improved. Simulation and experimental results show that the proposed method remains effective under steady-state and variable-speed operating regimes.","url":"https://doi.org/10.1088/1742-6596/3079/1/012055","authors":["Jie Gao","Chengzhi Zou"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-08-13T18:03:39Z","doi":"10.1088/1742-6596/3079/1/012055","addedAt":"2026-08-31T06:39:37.645Z","updatedAt":"2026-08-31T06:39:37.645Z"},{"id":"doi:10.2514/1.c037777","name":"Optimal Mission Profile for Low-Boom Supersonic Aircraft","source":"crossref","abstract":"","url":"https://doi.org/10.2514/1.c037777","authors":["Wu Li","Karl Geiselhart","Christopher Eggert"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-02-13T04:15:48Z","doi":"10.2514/1.c037777","addedAt":"2026-08-31T06:39:37.645Z","updatedAt":"2026-08-31T06:39:37.645Z"},{"id":"doi:10.2514/1.c038131","name":"Metamodeling Approach for Wing Structural Sizing of Box-Wing Aircraft","source":"crossref","abstract":"This paper presents a predictive metamodel, built on a finite element method (FEM)-based design of experiment (DoE), developed for the structural design of a box wing. For this configuration, statistical or semi-empirical predictions are not available for the conceptual design. The aim, hence, is to develop a fast and reliable structural sizing model for the early stages of the aircraft design process. The proposed model can predict maximum stress and wing deflections for a wide range of combinations of wing design variables related to geometrical (e.g., aspect ratio, span, surface) and structural parameters (e.g., stringer thickness and shape, skin thickness). The metamodel, built by handling the information from an FEM-based DoE database, has been implemented into multidisciplinary design frameworks for the conceptual design of box-wing aircraft of different sizes and geometries. The tool proved to be effective for optimizing lifting system structure, considering wing structural mass as the objective function. The accuracy of the proposed metamodel is assessed by comparing the results of different box-wing structural solutions sized with both the DoE-based surrogate model and FEM analyses; the comparisons showed a good accuracy for the metamodel, with a maximum error on the estimation of structural mass below 4% and maximum Von Mises stress below 6%.","url":"https://doi.org/10.2514/1.c038131","authors":["Giuseppe Palaia","Karim Abu Salem","Vincenzo Binante","Erasmo Carrera"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-02-17T04:04:51Z","doi":"10.2514/1.c038131","addedAt":"2026-08-31T06:39:37.645Z","updatedAt":"2026-08-31T06:39:37.645Z"},{"id":"doi:10.2514/6.2025-2374","name":"FAST: A Future Aircraft Sizing Tool for Conventional and Electrified Aircraft Design","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2025-2374","authors":["Paul Mokotoff","Maxfield Arnson","Yi-Chih Wang","Gokcin Cinar"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-02-12T10:03:43Z","doi":"10.2514/6.2025-2374","addedAt":"2026-08-31T06:39:37.645Z","updatedAt":"2026-08-31T06:39:37.645Z"},{"id":"doi:10.1007/978-981-96-4599-2_10","name":"Design Features of Commercial Airliners and Cargo Aircraft","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-981-96-4599-2_10","authors":["Valentin A. Kiselev"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-08-31T15:17:32Z","doi":"10.1007/978-981-96-4599-2_10","addedAt":"2026-08-31T06:39:37.645Z","updatedAt":"2026-08-31T06:39:37.645Z"},{"id":"doi:10.1108/aeat-07-2025-400","name":"Guest editorial: Research and education in aircraft design","source":"crossref","abstract":"","url":"https://doi.org/10.1108/aeat-07-2025-400","authors":["Tomasz Goetzendorf-Grabowski"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-10-17T14:04:07Z","doi":"10.1108/aeat-07-2025-400","addedAt":"2026-08-31T06:39:37.645Z","updatedAt":"2026-08-31T06:39:37.645Z"},{"id":"doi:10.2514/1.c038166","name":"Ride Quality in Transonic High-Aspect-Ratio-Wing Aircraft","source":"crossref","abstract":"Evaluating human comfort during flight through a ride quality metric is critical to meeting aircraft operational requirements. This paper investigates the ride quality of a transonic high-aspect-ratio-wing aircraft, representative of a potential future commercial transport configuration, compared with a standard-aspect-ratio-wing aircraft of the same class. The investigation explores the impact of wing aspect ratio and airframe flexibility on ride quality during longitudinal gust encounters. The computational study uses a nonlinear aeroelastic–flight dynamics modeling, analysis, and simulation framework, which is enhanced to evaluate an acceleration-based ride quality metric. For a rigid airframe, the high-aspect-ratio-wing aircraft shows higher ride quality than the standard-aspect-ratio-wing aircraft due to the longitudinal redistribution of pitch-induced vertical accelerations. Wing flexibility enhances ride quality by absorbing the gust through out-of-plane bending deflections, with greater benefits for a higher aspect ratio. Fuselage flexibility degrades ride quality due to added out-of-plane bending accelerations, particularly at the most forward and aft fuselage locations. This study advances the understanding of ride quality in commercial transport aircraft by highlighting the physical mechanisms that impact fuselage accelerations during longitudinal gust encounters.","url":"https://doi.org/10.2514/1.c038166","authors":["Divya Sanghi","Cristina Riso","Carlos E. S. Cesnik"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-05-01T06:14:19Z","doi":"10.2514/1.c038166","addedAt":"2026-08-31T06:39:37.645Z","updatedAt":"2026-08-31T06:39:37.645Z"},{"id":"doi:10.2514/1.c038007","name":"Minimum-Power Trim of Overactuated Multi-Tiltrotor Aircraft in Transition","source":"crossref","abstract":"Multi-tiltrotor aircraft concepts capable of vertical takeoff and landing along with efficient high-speed cruise often incorporate multiple propulsors, aerodynamic lifting surfaces, and control surfaces. The trim problem for a configuration with more control actuators than degrees of freedom is underdetermined, but an optimal solution can be found that maximizes some measure of desirability while satisfying constraints. This article presents an optimization-based method for analyzing the trim problem for an overactuated multi-tiltrotor aircraft through transition from rotor-borne to wing-borne flight. A three-degree-of-freedom longitudinal dynamics model is constructed for a notional multi-tiltrotor aircraft, and a gradient-based optimizer is used to solve for the trimmed control allocation that minimizes propulsive power while satisfying operational constraints. Results are presented for power-optimal trim points in level flight and at varying climb rates in the transition corridor. The methodology enables exploration of assumptions, design parameters, and constraints that influence the performance and design of multi-tiltrotor aircraft.","url":"https://doi.org/10.2514/1.c038007","authors":["Daniel S. Sagan","Mark T. Lau","Brian J. German"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-05-01T05:22:15Z","doi":"10.2514/1.c038007","addedAt":"2026-08-31T06:39:37.645Z","updatedAt":"2026-08-31T06:39:37.645Z"},{"id":"doi:10.61782/fa.2025.0024","name":"A novel procedure to minimize the acoustic and environmental impact of eVTOL vehicles for intra-city mission profiles","source":"crossref","abstract":"","url":"https://doi.org/10.61782/fa.2025.0024","authors":["Caterina Poggi","Giovanni Bernardini","Massimo Gennaretti"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-12-26T07:16:13Z","doi":"10.61782/fa.2025.0024","addedAt":"2026-08-31T06:39:37.645Z","updatedAt":"2026-08-31T06:39:37.645Z"},{"id":"doi:10.1109/icuas65942.2025.11007898","name":"Energy Aware Coverage Planning for a QuadPlane small Uncrewed Aircraft System","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icuas65942.2025.11007898","authors":["Akshay Mathur","Ella Atkins"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-05-27T13:05:08Z","doi":"10.1109/icuas65942.2025.11007898","addedAt":"2026-08-31T06:39:37.645Z","updatedAt":"2026-08-31T06:39:37.645Z"},{"id":"doi:10.5772/intechopen.1008506","name":"Designing Aircraft in a Way that Reduces Human Error","source":"crossref","abstract":"The causes of most incidents and accidents are attributed to humans, even though they are based on aircraft design and configuration. This chapter emphasizes the critical need for error-proof design in aviation to reduce human errors in aircraft maintenance and operation. Traditional models often assume human reliability as flawless, overlooking the potential for human error in complex systems. Findings reveal that many incidents and accidents stem from design-related issues rather than human shortcomings, suggesting that designing aircraft with error-proofing principles could significantly improve safety. This approach advocates for defining error-proofing levels, from basic awareness to advanced prevention, based on the severity of potential errors. Methods like Poka-Yoke and Murphy’s law applications enhance system resilience by minimizing opportunities for human error. The adoption of error-proofing standards as part of the aviation safety framework could lead to fewer incidents and operational disruptions, such as in-flight shutdowns and delays. The study calls for global aviation authorities to recognize the role of human reliability in system design and to incorporate comprehensive error-proofing standards. By shifting focus from blaming individuals to proactive design solutions, this approach aims to promote safer and more efficient flight operations across the industry.","url":"https://doi.org/10.5772/intechopen.1008506","authors":["Seref Demirci"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-01-13T09:37:54Z","doi":"10.5772/intechopen.1008506","addedAt":"2026-08-31T06:39:37.645Z","updatedAt":"2026-08-31T06:39:37.645Z"},{"id":"doi:10.2514/1.c038197","name":"Battery Optimization for Sustainable Aviation: A Comprehensive Analysis for Battery Electric Aircraft","source":"crossref","abstract":"The aviation industry is entering a transformative era with the introduction of electrified aircraft, driven by the imperative to reduce reliance on legacy fossil fuels and to mitigate the industry’s environmental impact. Battery systems are an enabling technology of this revolution, and an appropriate balance between performance, efficiency, and cost becomes critically important to the viability and acceptance of this new propulsion paradigm. This paper provides a comprehensive set of considerations for battery system optimization for the application of electric aircraft. We leverage the relationship between depth of discharge, [Formula: see text]-rate, and cycle life of multiple battery chemistries to enable the design of efficient and cost-effective energy storage systems. The paper will analyze the operational, economic, and environmental implications of battery use, considering factors such as mission lengths, operating conditions, and battery life cycle and energy production costs and emissions. The results and discussion contribute to a framework for battery electric aircraft design for a variety of mission requirements.","url":"https://doi.org/10.2514/1.c038197","authors":["Todd A. Spierling","Alexander Lynch","Thomas H. Bradley"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-05-13T06:09:12Z","doi":"10.2514/1.c038197","addedAt":"2026-08-31T06:39:37.645Z","updatedAt":"2026-08-31T06:39:37.645Z"},{"id":"doi:10.2514/1.c038155","name":"Concurrent Value-Driven Optimization Problems Addressing Aircraft Design, Manufacturing, and Supply Chain","source":"crossref","abstract":"In the last decades, several studies show how the concurrent evaluation of manufacturing and supply chain in the early design phase brings significant advantages to industries. In this frame, a value-driven methodology has been developed and applied in the aeronautical context to identify the best solution when considering design, manufacturing, and supply chain criteria at the same time. This study aims at including optimization algorithms in the methodology to face a new challenge: the identification of solutions simultaneously optimizing manufacturing, design, and supply chain variables. To achieve this objective, collaborative optimization problems are presented in this research activity in three multidisciplinary design and optimization (MDO) cases, which integrate domains first in pairs and then together. Shortly, MDO case I identifies a Pareto front of optimal supply chain combinations producing aircraft components among millions of possibilities after several hours of execution; MDO case II shows the optimal aircraft configuration made by considering hundreds of combinations of materials and processes in less than one hour; MDO case III reaches the Pareto front in a half-day considering millions of choices of materials, processes, and enterprises.","url":"https://doi.org/10.2514/1.c038155","authors":["Giuseppa Donelli","Nathalie Bartoli","Thierry Lefebvre","Luca Boggero"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-05-01T05:38:08Z","doi":"10.2514/1.c038155","addedAt":"2026-08-31T06:39:37.645Z","updatedAt":"2026-08-31T06:39:37.645Z"},{"id":"doi:10.4050/f-0081-2025-0040","name":"Experimental Investigation of Vortex Ring State Conditions for Archer Maker eVTOL Tilter Propeller","source":"crossref","abstract":"This study experimentally explores the behavior of an isolated propeller of an electric vertical takeoff and landing (eVTOL) aircraft, a next-generation type of vehicle that combines the operational capabilities of both helicopters and airplanes, in vortex ring state (VRS). VRS is a hazardous aerodynamic phenomenon that occurs when a propeller in vertical descent interacts with its own wake, forming a vortex ring around the propeller disk. Depending on the inflow and operating conditions of the propeller, VRS can lead to a significant loss of thrust, making it a critical flight condition for helicopters, tiltrotors, and eVTOL aircraft. Despite its importance, VRS has not yet been extensively studied in the context of eVTOL systems. This research study, carried out under the collaboration between Archer Aviation and the Department of Aerospace Science and Technology of Politecnico di Milano, focuses on characterizing the performance of a propeller of an eVTOL vehicle during vertical descent and analysing the flow field around the propeller blades in VRS. Experimental tests were conducted at the \"S. De Ponte\" wind tunnel of Politecnico di Milano using a 1:4 scaled model of one of the tilting propellers of Archer Aviation eVTOL Maker vehicle.","url":"https://doi.org/10.4050/f-0081-2025-0040","authors":["Alberto Savino","Andrea Gianotti","Donato Grassi","Luca Riccobene","Alex Zanotti","Giovanni Droandi","Mike Kerho"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-04-10T16:56:52Z","doi":"10.4050/f-0081-2025-0040","addedAt":"2026-08-31T06:39:37.645Z","updatedAt":"2026-08-31T06:39:37.645Z"},{"id":"doi:10.1007/978-981-96-4599-2_13","name":"Air-Space and Hypersonic Aircraft Design","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-981-96-4599-2_13","authors":["Eduard N. Dudar","Valery P. Timoshenko"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-08-31T15:17:34Z","doi":"10.1007/978-981-96-4599-2_13","addedAt":"2026-08-31T06:39:37.645Z","updatedAt":"2026-08-31T06:39:37.645Z"},{"id":"doi:10.2514/1.c037893","name":"Exploration of Off-Design Performance for Hybrid Electric Regional Aircraft","source":"crossref","abstract":"Most studies investigate hybrid electric aircraft by comparing their respective performance over their design mission. However, most missions flown are less demanding in terms of payload and/or range. Kerosene aircraft can adapt their fuel load, yet battery-equipped aircraft have to make the best of an already installed battery. This paper compares the performance of battery-equipped hybrid electric regional propeller aircraft (parallel, serial/parallel partial hybrid, or serial powertrain) over their entire payload-range envelope, relative to a kerosene aircraft designed according to the same specifications and performing the same off-design missions. The payload-range envelope is determined by intricate combinations of sizing limits of powertrain components in terms of power and energy. All hybrid electric aircraft are heavier than their kerosene counterparts and less energy efficient on their design mission. However, over a 600 km range, a 60% fuel saving can be achieved at lower payloads. Full-electric cruise may be possible for all payloads up to [Formula: see text] for all architectures when a battery-supplied power ratio of 20% in cruise flight is selected for the design point. The results demonstrate the off-design sensitivity to 1) selection of the powertrain architecture, 2) selection of the design hybridization strategy, and 3) selection of the design mission.","url":"https://doi.org/10.2514/1.c037893","authors":["Vincent O. Bonnin","Maurice F. M. Hoogreef"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-04-09T16:40:12Z","doi":"10.2514/1.c037893","addedAt":"2026-08-31T06:39:37.645Z","updatedAt":"2026-08-31T06:39:37.645Z"},{"id":"doi:10.1016/j.ast.2025.110674","name":"eVTOL flutter analyses in wingborne flight via ground vibration test data and actuator failure effects on stability","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.ast.2025.110674","authors":["Francesco Saltari","Franco Mastroddi","Luca Pustina","Marcus V. G. Muniz","Adriano Argiolas"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-07-25T15:15:40Z","doi":"10.1016/j.ast.2025.110674","addedAt":"2026-08-31T06:39:37.645Z","updatedAt":"2026-08-31T06:39:37.645Z"},{"id":"doi:10.2514/1.c038338","name":"Configuration Estimation from Position Data of Civil Jet Aircraft for Noise Mapping","source":"crossref","abstract":"This study presents a novel machine learning approach for estimating the flap and landing gear configurations of civil jet aircraft based on position data. Optimized for noise calculations, this method simplifies the estimation process by grouping various configuration states, thereby reducing the potential for estimation errors and focusing on configurations significant for noise impact assessments. Validation on holdout data demonstrates the method’s high accuracy and potential for improving aircraft noise predictions. When integrated into the aircraft noise model sonAIR, the inclusion of estimated configuration settings significantly improves noise calculation accuracy compared to methods that account for aircraft configuration only implicitly. Especially for wide-body aircraft during arrival, we could improve the calculation accuracy in noise-exposure-relevant areas by several decibels.","url":"https://doi.org/10.2514/1.c038338","authors":["Jonas Meister","Stefan Schalcher"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-04-25T09:08:43Z","doi":"10.2514/1.c038338","addedAt":"2026-08-31T06:39:37.645Z","updatedAt":"2026-08-31T06:39:37.645Z"},{"id":"doi:10.1007/978-981-96-4599-2_11","name":"Design Features of Combat Maneuvering Aircraft","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-981-96-4599-2_11","authors":["Mikhail A. Pogosyan","Dmitry Yu. Strelets"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-08-31T15:17:35Z","doi":"10.1007/978-981-96-4599-2_11","addedAt":"2026-08-31T06:39:37.645Z","updatedAt":"2026-08-31T06:39:37.645Z"},{"id":"doi:10.2514/1.c037946","name":"Aircraft Load Estimation Using Linear Parameter-Varying System-Based Hybrid Observers","source":"crossref","abstract":"The hybrid loads observer has demonstrated its precision in estimating structural loads and wind disturbances in prior applications. This level of precision is attained by combining a high-fidelity physical, nonlinear flight dynamics model with a data-driven correction model. To mitigate the typically high computational effort, the nonlinear model is substituted in this work with a linear parameter-varying (LPV) system. Therefore, the nonlinear model is approximated by scheduled Linear Time-Invariant models derived from Jacobian linearization. The robustness of this novel approach against parameter uncertainties is evaluated through simulated flight test studies using a subscale test aircraft as an example. It is demonstrated that increased model uncertainties lead to wind estimation accuracy reduction. Additionally, increased parameter uncertainties adversely affect the accuracy of structural load estimation within the model-based (physical) part of the observer. Nonetheless, this loss of accuracy can be compensated by the correction model, leading to the typical high load estimation accuracy of the hybrid loads observer. Finally, experimental data from wind-tunnel tests, utilizing a 1-degree-of-freedom representative test wing, confirms the high estimation accuracy of the LPV-based hybrid loads observer. Despite employing low-fidelity models, achieving high accuracy is feasible while maintaining the characteristic low complexity of the correction model.","url":"https://doi.org/10.2514/1.c037946","authors":["Oliver Luderer","Frank Thielecke"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-02-10T17:14:56Z","doi":"10.2514/1.c037946","addedAt":"2026-08-31T06:39:37.645Z","updatedAt":"2026-08-31T06:39:37.645Z"},{"id":"doi:10.1007/978-981-96-4599-2_14","name":"Design Features of Hydro-Aviation Aircraft","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-981-96-4599-2_14","authors":["Leonid G. Fortinov","Anas M. Hairov"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-08-31T15:17:36Z","doi":"10.1007/978-981-96-4599-2_14","addedAt":"2026-08-31T06:39:37.645Z","updatedAt":"2026-08-31T06:39:37.645Z"},{"id":"doi:10.2514/1.c038464","name":"Development of the Aspirated Kiel Probe","source":"crossref","abstract":"","url":"https://doi.org/10.2514/1.c038464","authors":["Haideng Zhang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-06-10T09:35:18Z","doi":"10.2514/1.c038464","addedAt":"2026-08-31T06:39:37.645Z","updatedAt":"2026-08-31T06:39:37.645Z"},{"id":"doi:10.2514/1.c038174","name":"Design of Hydrogen Solid Oxide Fuel Cells in Blended-Wing–Body Aircraft","source":"crossref","abstract":"This paper presents the design methodology for integrating a hydrogen solid oxide fuel cell/gas turbine (SOFC/GT) propulsion system into a blended-wing–body (BWB) aircraft and tube-and-wing (T&amp;W) configurations for 365 and 162 passengers. The design methodology utilizes aircraft sizing and modeling tools that encompass aerodynamic properties, structural design, and powertrain integration. The proposed hydrogen BWB and T&amp;W aircraft are compared against conventional models like the B777-300ER and B737-800. Key results indicate significant reductions in fuel consumption and emissions. For instance, the hydrogen BWB aircraft, on average, exhibits a 56% reduction in Megajoule of fuel energy consumption per passenger-kilometer compared to conventional aircraft. The analysis highlights the environmental benefits, with [Formula: see text] equivalent emissions per passenger-kilometer being significantly lower for hydrogen-powered models. The total takeoff weight per passenger for the hydrogen BWB-365 is 714 kg, compared to 916 kg for the conventional B777-300ER. Hydrogen aircraft configurations, on average, also show a 21% increase and 99.48% decrease in [Formula: see text] and [Formula: see text] emissions. Moreover, hydrogen BWB configurations exhibit reduced emissions compared to hydrogen T&amp;W despite higher takeoff weights. This study underscores the potential of hydrogen SOFC/GT systems and BWB configurations to enhance efficiency and reduce the environmental impacts for future aircraft.","url":"https://doi.org/10.2514/1.c038174","authors":["Oi Ching Vanessa Chung","Khaled AlSamri","Jacqueline Huynh","Jack Brouwer"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-02-13T02:30:46Z","doi":"10.2514/1.c038174","addedAt":"2026-08-31T06:39:37.645Z","updatedAt":"2026-08-31T06:39:37.645Z"},{"id":"doi:10.70114/acmsr.2025.3.1.p165","name":"Research on Multi-Objective Optimization Method of eVTOL Connection Structure Based on Convolutional Neural Network and Dwarf Mongoose Optimization Algorithm","source":"crossref","abstract":"This paper studied the fallable structure of the seat and floor connection of the 500kg multi-rotor manned electric vertical take-off and landing (eVTOL) aircraft. In view of the lack of research on fallable structures, especially for seat connection structures, this paper proposes a multi-objective optimization method based on neural network and pygmy mongoose algorithm. By constructing the finite element model and conducting simulation analysis, combined with the CNN surrogate model and DMOA, the optimization of the crashworthiness of the structure was realized. The results show that the proposed optimization method can improve the crashworthiness while ensuring the lightweight of the structure, and provides a new solution for the design of eVTOL seat connection structure","url":"https://doi.org/10.70114/acmsr.2025.3.1.p165","authors":["Xinyi Zhang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-07-02T08:08:21Z","doi":"10.70114/acmsr.2025.3.1.p165","addedAt":"2026-08-31T06:39:37.645Z","updatedAt":"2026-08-31T06:39:37.645Z"},{"id":"doi:10.2514/1.c037819","name":"Retrofit Measures for Aircraft Noise Reduction: Simulation Benchmark and Impact Assessment","source":"crossref","abstract":"DLR, German Aerospace Center, has developed a low-noise retrofit to reduce noise generation of a conventional midrange transportation aircraft, i.e., measures to the airframe and engine exhaust nozzle. Selected measures have been installed onboard of DLR’s flying testbed Advanced Technology Research Aircraft and been subject to a flyover noise campaign. The aircraft in its original configuration and the modified aircraft have been tested and measured in flyover campaigns in 2016 and 2019, respectively. Initial simulation models have been derived from the results and previous component simulations and wind tunnel tests to account for the new reduction measures within DLR’s system noise prediction tool Parametric Aircraft Noise Analysis Module (PANAM). This paper presents the developed measures as selected for the flight test campaigns. An overview of the conducted flight tests is provided. The overall noise simulation process, including aircraft and engine design, flight simulation, and noise prediction, is presented. Simulation results obtained from this process are then compared to the measured levels from the flight campaigns. Estimated simulation uncertainties from PANAM can now be directly compared to differences between measured and simulated levels. Finally, a parameter study is conducted in order to assess the reduction potential of the novel retrofit measures along different simulated flight procedures. Spatial noise distribution in sound exposure level contours is assessed.","url":"https://doi.org/10.2514/1.c037819","authors":["Lothar Bertsch","Michael Pott-Pollenske","Felix Wienke","Joscha Kurz","Jan Delfs"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-11-14T01:13:58Z","doi":"10.2514/1.c037819","addedAt":"2026-08-31T06:39:37.645Z","updatedAt":"2026-08-31T06:39:37.645Z"},{"id":"doi:10.1109/ieecsc64206.2025.11100089","name":"Thermal Simulation of Air-Cooled PMSM with Novel Winding Structure and Specialized Cooling Design for eVTOL Applications","source":"openalex","abstract":"For high-power-density permanent-magnet synchronous machine (PMSM) used in electric vertical takeoff and landing (eVTOL) aircraft, heat dissipation is challenging due to potential temperature rise, which may cause irreversible demagnetization of permanent magnets and winding insulation damage. This paper presents a thermal simulation analysis of an air-cooled PMSM with a novel winding structure and specialized cooling design for eVTOL applications. The motor's power losses are calculated by electromagnetic simulation. Then the novel winding structure composed of stacked 26 thin copper sheets is subjected to equivalence, and its equivalent thermal conductivities in the radial, circumferential, and axial directions are calculated. The multiple reference frame (MRF) method was employed to model the cooling airflow generated by the propeller. Finally, a computational fluid dynamics (CFD) analysis was conducted on the PMSM featuring open end caps and a hollow rotor design for cooling, with results showing that temperatures are maintained within a reasonable range and validating the effectiveness of the cooling design for air-cooled motors.","url":"https://doi.org/10.1109/ieecsc64206.2025.11100089","authors":["Zhe Huang","Yingzhen Liu","Jing Ou","Dianguo Xu"],"tags":["Thermal","Computer science","Electromagnetic coil","Mechanical engineering","Electrical engineering"],"confidence":0.72,"sites":["low-altitude"],"publishedDate":"2025-05-23","doi":"10.1109/ieecsc64206.2025.11100089","addedAt":"2026-08-31T06:39:37.645Z","updatedAt":"2026-08-31T14:45:35.251Z"},{"id":"doi:10.26552/aer.c.2025.2.5","name":"The concept of integrating unmanned aircraft into a single airspace with manned aircraft","source":"crossref","abstract":"Remotely piloted aviation systems are a new component of the aviation system, which, based on the latest developments in the field of aerospace technologies, open up new and expand existing opportunities for civil/commercial applications, increase the level of flight safety and efficiency of all civil aviation. The safe integration of remotely piloted aviation systems into non-segregated airspace is a lengthy process that requires coordinated action by many stakeholders, each of whom brings their own expertise to the process. Until now, the activities of civil aviation have been based on the concept that a pilot controls an aircraft while on board, and most often with passengers. Flying aircraft without a pilot on board raises a number of important technical and operational issues that are currently being actively studied by the aviation community. The most important task is to ensure that the integration of remotely piloted aircraft into non-segregated airspace and their use at airfields in no way leads to an increased risk to the safety of aircraft with a pilot on board. The paper considers decision-making models for the management of manned and unmanned aircraft in a singleairspace, which provides a detailed analysis of the features of human-operator interaction, automated control systems and intelligent algorithms forremotely piloted aircraft systems, limitations caused by flight safety requirements in accordance with ICAO standards and recommended practices,regulatory and legal regulation and high dynamics of air the surroundings. Special attention is paid to methods of situational awareness, conflictforecasting, responsibility allocation between the pilot and automation, as well as adaptive and hybrid decision-making models based on controltheory, probabilistic methods and elements of artificial intelligence. The results of the research can be used in the development of promising air trafficcontrol systems and onboard intelligent systems, the development and updating of new flight rules that ensure the safe and effective integration ofmanned and unmanned aircraft into a single airspace.","url":"https://doi.org/10.26552/aer.c.2025.2.5","authors":["Oleh Alieksieiev","Nikolai Tsybov"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-04-10T11:55:26Z","doi":"10.26552/aer.c.2025.2.5","addedAt":"2026-08-31T06:39:37.645Z","updatedAt":"2026-08-31T06:39:37.645Z"},{"id":"doi:10.2514/1.c038025","name":"Theodorsen’s and Garrick’s Flutter Calculations: Revisited","source":"crossref","abstract":"","url":"https://doi.org/10.2514/1.c038025","authors":["Boyd Perry"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-12-04T09:13:52Z","doi":"10.2514/1.c038025","addedAt":"2026-08-31T06:39:37.645Z","updatedAt":"2026-08-31T06:39:37.645Z"},{"id":"doi:10.1109/iconstem65670.2025.11374909","name":"Development of AI-Based Control Systems for Electric Vertical Take-Off and Landing (eVTOL) Vehicles","source":"crossref","abstract":"","url":"https://doi.org/10.1109/iconstem65670.2025.11374909","authors":["A Chandrashekhar","H.Mickle Aancy","Gottumukkala Santhi","ChunduriKiran Kumar","S. Jaiganesh","Shailendra Kumar Bohidar"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-02-18T21:13:43Z","doi":"10.1109/iconstem65670.2025.11374909","addedAt":"2026-08-31T06:39:37.645Z","updatedAt":"2026-08-31T06:39:37.645Z"},{"id":"doi:10.2514/1.c037718","name":"Multifidelity Rotor Wake Modeling with Uncertainty Quantification of Transitioning Tilt-Propeller Aircraft Performance","source":"crossref","abstract":"A framework for efficient multifidelity modeling of tilt-propeller aircraft performance is developed, with an emphasis on accurate modeling of transition maneuvers between vertical and forward flight. Low- and midfidelity vortex models are used for the propeller aerodynamic data sources and lifting surface analyses. Uncertainty quantification of propeller model parameters is conducted and used as the input uncertainty of the source data over the operational domain. A multifidelity approach is proposed, using active learning of Gaussian processes (GPs) that are sequentially and adaptively enhanced with additional higher-fidelity data queried at strategic points selected from an acquisition function. This process is applied to the buildup of single- and multifidelity GPs, forming surrogate models of propeller performance over the operational domain. Each surrogate model is used in the full aircraft mission analysis of a tilt-propeller aircraft and provides quantified uncertainty in aircraft performance over the full flight envelope. Optimal maneuvers are also explored, balancing the tradeoff between maximum power, tilt rates, and time efficiency of conversion. The developed methods are applicable to many distributed electric propulsion aircraft configurations and are applied in this paper to a pusher-configured tilt-propeller aircraft.","url":"https://doi.org/10.2514/1.c037718","authors":["Racheal M. Erhard","Juan J. Alonso","Michael A. Cunningham"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-02-10T12:14:56Z","doi":"10.2514/1.c037718","addedAt":"2026-08-31T06:39:37.645Z","updatedAt":"2026-08-31T06:39:37.645Z"},{"id":"doi:10.2514/6.2025-2228","name":"Enhanced Neural Network Model for Aircraft Flight Dynamics Prediction From Flight Test Data - Business Aircraft Application","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2025-2228","authors":["Maxime Szymanski","Georges Ghazi","Ruxandra M. Botez"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-02-12T10:03:43Z","doi":"10.2514/6.2025-2228","addedAt":"2026-08-31T06:39:37.645Z","updatedAt":"2026-08-31T06:39:37.645Z"},{"id":"doi:10.1002/9781394378029.ch6","name":"Aircraft Electrical Power Systems","source":"crossref","abstract":"","url":"https://doi.org/10.1002/9781394378029.ch6","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-12-19T21:25:28Z","doi":"10.1002/9781394378029.ch6","addedAt":"2026-08-31T06:39:37.645Z","updatedAt":"2026-08-31T06:39:39.468Z"},{"id":"doi:10.1201/9781003616214-16","name":"Resilience of the Aircraft System","source":"crossref","abstract":"","url":"https://doi.org/10.1201/9781003616214-16","authors":["Scott Jackson"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-05-15T13:31:32Z","doi":"10.1201/9781003616214-16","addedAt":"2026-08-31T06:39:37.645Z","updatedAt":"2026-08-31T06:39:37.645Z"},{"id":"doi:10.1002/9781394378029.ch4","name":"Aircraft Pneumatic Power Systems","source":"crossref","abstract":"","url":"https://doi.org/10.1002/9781394378029.ch4","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-12-19T21:25:28Z","doi":"10.1002/9781394378029.ch4","addedAt":"2026-08-31T06:39:37.645Z","updatedAt":"2026-08-31T06:39:39.468Z"},{"id":"doi:10.25967/570230","name":"Application of a Hierarchical Task Analysis in the Design Process of an Emergency EVTOL HMI","source":"datacite","abstract":"Urban Air Mobility (UAM) and the concept of electric Vertical Take-Off and Landing (eVTOL) systems are on the way of becoming reality. Closely related, the concept of Simplified Vehicle Operations (SVO) is often discussed as a way of reducing the training required to operate those aircrafts. Currently discussed display configurations of eVTOLs are usually based upon traditional display concepts. However, following the User Centered Design (UCD) and the SVO approach, it is preferable to redesign such display configurations with (future) users in mind. Consequently, it is necessary, to reevaluate the amount and way that information on the current aircraft status is communicated to the pilot. A Hierarchical Task Analysis (HTA) was conducted to identify a design space for this change in design philosophy in the UAM context. The HTA was based on a generic emergency helicopter mission, in which an emergency doctor has to be transferred to a patient in a remote area. In a second step, the tasks from the HTA were analyzed for necessary adaptions for a future single-pilot operation in the emergency mission context. First guidelines for adaptations are derived.","url":"https://doi.org/10.25967/570230","authors":["Janetzko, D.","Kacem, B."],"tags":["Urban Air Mobility","Human Factors","Human Machine Interface","Task Analysis","Simplified Vehicle Operations","DLRK","2022","DGLR"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2023","doi":"10.25967/570230","addedAt":"2026-08-31T06:39:37.915Z","updatedAt":"2026-08-31T06:39:37.915Z"},{"id":"doi:10.34726/hss.2023.112808","name":"Combined propeller blade geometrical modifications to reduce noise emissions of urban air mobility vehicles","source":"datacite","abstract":"Urban Air Mobility (UAM) ist ein langfristiges Konzept für die Verkehrsentwicklung in Städten, das elektrisch betriebene Senkrechtstarter und -landefahrzeuge (eVTOL) für die Beförderung von Personen und Gütern vorsieht. Es wird erwartet, dass die ersten Konzepte bereits in diesem Jahrzehnt in Betrieb genommen werden. Ein wichtiger Aspekt ist die Lärmentwicklung, denn davon hängt die soziale Akzeptanz dieser Luftfahrzeuge in dicht besiedelten Gebieten ab. Das Antriebssystem solcher Flugzeuge, in den meisten Fällen die Propeller, sind die Hauptquelle der Lärmemissionen. Ziel dieser Diplomarbeit ist es daher, die Reduzierung der Lärmentwicklung in allen Phasen des Vertikalfluges durch geometrische Veränderungen der Propellerblätter zu untersuchen. Hierzu wurden in den letzten Jahren zahlreiche Konzepte entwickelt, jedoch ohne eine abgestimmte Kombination, die im Mittelpunkt der vorliegenden Arbeit steht. Zur Validierung und Analyse der Auswirkungen einzelner geometrischer Modifikationen werden aerodynamische und aeroakustische Simulationen im Fernfeld unter Verwendung der CFD-Software OpenFOAM mit einer extern implementierten Aeroakustik-Bibliothek durchgeführt. Die Kombination von Hinterkantenverzahnung, Vorderkantentuberkel und Modifikationen an der Blattspitze führt zu einer Reduzierung des Breitbandgeräusches im Vergleich zur Referenzpropellergeometrie, wobei deren Ausmaß von der angewendeten Drehgeschwindigkeit abhängt. Eine Verringerung des tonalen Geräusches kann auch durch geometrische Anpassungen erreicht werden, die eine Verringerung der Drehzahl bei gleichzeitiger Beibehaltung des erzeugten Schubs und der mechanischen Leistung ermöglichen. Besonderes Augenmerk wurde dabei auf die Kombination von Merkmalen hinsichtlich der radialen Positionierung und der aerodynamischen sowie aeroakustischen Effektstärke gemäß den Ergebnissen einer Literaturrecherche gelegt. Die Optimierungsergebnisse werden im Rahmen einer Parameterstudie für verschiedene Phasen des Vertikalfluges und bei zahlreichen Rotationsgeschwindigkeiten verglichen. Dies zeigt, wie wichtig die Berücksichtigung zahlreicher Parameter im Optimierungsprozess sowie die gezielte Auslegung für bestimmte Betriebsbedingungen ist, da eine Verbesserung für jeden einzelnen Betriebszustand nicht möglich ist. Für den Steigflug kann durch die kombinierte Anwendung geometrischer Modifikationen im Vergleich zu einem nicht modifizierten Propellerblatt eine Verringerung des Breitbandlärms um bis zu 8 dB bei Frequenzen unterhalb von 1000 Hz sowie oberhalb von 5000 Hz festgestellt werden. Die vielversprechenden numerischen Ergebnisse sollen in zukünftigen Forschungsarbeiten experimentell verifiziert werden.","url":"https://doi.org/10.34726/hss.2023.112808","authors":["Skrna, Dominik"],"tags":["UAV","UAM","Noise","Propeller","OpenFOAM"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2023","doi":"10.34726/hss.2023.112808","addedAt":"2026-08-31T06:39:37.915Z","updatedAt":"2026-08-31T06:39:37.915Z"},{"id":"doi:10.48550/arxiv.2308.09812","name":"Reliability and Delay Analysis of 3-Dimensional Networks with Multi-Connectivity: Satellite, HAPs, and Cellular Communications","source":"datacite","abstract":"Aerial vehicles (AVs) such as electric vertical take-off and landing (eVTOL) aircraft make aerial passenger transportation a reality in urban environments. However, their communication connectivity is still under research to realize their safe and full-scale operation. This paper envisages a multi-connectivity (MC) enabled aerial network to provide ubiquitous and reliable service to AVs. Vertical heterogeneous networks with direct air-to-ground (DA2G) and air-to-air (A2A) communication, high altitude platforms (HAPs), and low Earth orbit (LEO) satellites are considered. We evaluate the end-to-end (E2E) multi-hop reliability and network availability of the downlink of AVs for remote piloting scenarios, and control/telemetry traffic. Command and control (C2) connectivity service requires ultra-reliable and low-latency communication (URLLC), therefore we analyse E2E reliability and latency under the finite blocklength (FBL) regime. We explore how different MC options satisfy the demanding E2E connectivity requirements taking into account antenna radiation patterns and unreliable backhaul links. Since providing seamless connectivity to AVs is very challenging due to the line-of-sight (LoS) interference and reduced gains of downtilt ground base station (BS) antennas, we use coordinated multi-point (CoMP) among ground BSs to alleviate the inter-cell interference. Furthermore, we solve an optimization problem to select the best MC path under the quality of service (QoS) constraints. We maximize spectral efficiency (SE) to specify the optimum MC path with the minimum number of required links. Based on the simulation results, we find out that even with very efficient interference mitigation, MC is the key enabler for safe remote piloting operations.","url":"https://doi.org/10.48550/arxiv.2308.09812","authors":["Salehi, Fateme","Ozger, Mustafa","Cavdar, Cicek"],"tags":["Systems and Control (eess.SY)","FOS: Electrical engineering, electronic engineering, information engineering","FOS: Electrical engineering, electronic engineering, information engineering"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2023","doi":"10.48550/arxiv.2308.09812","addedAt":"2026-08-31T06:39:37.915Z","updatedAt":"2026-08-31T06:39:37.915Z"},{"id":"doi:10.5281/zenodo.8056300","name":"Midterm Report - Aetheria, hydrogen-based long-range eVTOL designed for crashworthiness","source":"datacite","abstract":"Midterm Report of the Design, Synthesis and Exercise (DSE) carried on during the Spring DSE 2023, group 11, assignment \"hydrogen-based long-range eVTOL designed for crashworthiness\". Tutors: Saullo G. P. Castro &amp; Fulvio Scarano Coaches: Marina B. Lopez &amp; Justus Benad Institution: Delft University of Technology Place: Faculty of Aerospace Engineering, Delft Submission Date: Monday 29th of May, 2023 Summary There has been a significant increase in research and development for alternative modes of transportation in the quest for faster, more effective, and more sustainable travel options in recent years. Additionally, the need for solutions has become more urgent due to air pollution and traffic congestion. Electric Vertical Take-Off and Landing (eVTOL) aircraft may hold the key to this issue’s resolution. The addition of hydrogen-based propulsion to the eVTOL design is a development that will increase the aircraft’s potential range. Therefore, the goal of this DSE project is to use hydrogen to improve the performance of battery-powered long-range eVTOLs. The Mission Need Statement (MNS) of the project is as follows: Design a safe and sustainable long-range hydrogen eVTOL that can transport four passengers This report will serve as the basis for creating the final, detailed design of an eVTOL called Aetheria. Tradeoffs will be performed based on three predetermined configurations. Preliminary estimates are made for parameters in each technical department for each configuration, and given a score relative to one another. Finally, the scores will be used to pick one design to pursue in the final report. Design Options and Trade-Off Criteria Three designs are evaluated, involving design J1 that is inspired by Joby Aviation and has two tilting rotors on each wing, and another tilting rotor on the horizontal stabiliser. The second design is the L1, inspired by Lilium, which features a tandem wing and has tilting ducted fans on each wing. The last one is the W1, inspired by the Wigeon group, and has tilting tandem wings with fixed rotors. To assess each design, trade-off criteria have been made, each with its own score. These are the mission energy, stability &amp; controllability, crashworthiness, noise, production costs, and operational costs excluding fuel criteria. Each has been given relative weights of 30%, 20%, 20%, 10%, 10% and 10%, respectively. Based on the centre-of-gravity envelopes, a trade-off value has been given to each conceptual design based on how restrictive stability and control is for them. A high value corresponds to a low compromise, flexible design concept. If a design cannot meet the cg excursion requirements it is automatically discarded. Due to this, a new design J2 had to be introduced, which is an improvement on the J1, due to J1’s unacceptable vertical flight controllability characteristics. Trade-Off Based on the trade-off criteria, the design J2 was chosen as it received a score of 2.4/3, a big lead compared to the other W1 which received a score of 1.8/3 and L1 which received a score of 1.5/3. Design J1 was discarded, as it did not meet control &amp; stability requirements.","url":"https://doi.org/10.5281/zenodo.8056300","authors":["W. Albers","J. Arends","B.A. Van Battum","E. Hadzhiyski","C. Karaca","D. M. Keijzer","L. Middendorp","S. De Rijke","B. Sarıgöl","C. Simon Soria"],"tags":["aircraft design","eVTOL","hydrogen","crashworthiness","electric","battery"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2023","doi":"10.5281/zenodo.8056300","addedAt":"2026-08-31T06:39:37.915Z","updatedAt":"2026-08-31T06:39:37.915Z"},{"id":"doi:10.5281/zenodo.8056301","name":"Midterm Report - Aetheria, hydrogen-based long-range eVTOL designed for crashworthiness","source":"datacite","abstract":"Midterm Report of the Design, Synthesis and Exercise (DSE) carried on during the Spring DSE 2023, group 11, assignment \"hydrogen-based long-range eVTOL designed for crashworthiness\". Tutors: Saullo G. P. Castro &amp; Fulvio Scarano Coaches: Marina B. Lopez &amp; Justus Benad Institution: Delft University of Technology Place: Faculty of Aerospace Engineering, Delft Submission Date: Monday 29th of May, 2023 Summary There has been a significant increase in research and development for alternative modes of transportation in the quest for faster, more effective, and more sustainable travel options in recent years. Additionally, the need for solutions has become more urgent due to air pollution and traffic congestion. Electric Vertical Take-Off and Landing (eVTOL) aircraft may hold the key to this issue’s resolution. The addition of hydrogen-based propulsion to the eVTOL design is a development that will increase the aircraft’s potential range. Therefore, the goal of this DSE project is to use hydrogen to improve the performance of battery-powered long-range eVTOLs. The Mission Need Statement (MNS) of the project is as follows: Design a safe and sustainable long-range hydrogen eVTOL that can transport four passengers This report will serve as the basis for creating the final, detailed design of an eVTOL called Aetheria. Tradeoffs will be performed based on three predetermined configurations. Preliminary estimates are made for parameters in each technical department for each configuration, and given a score relative to one another. Finally, the scores will be used to pick one design to pursue in the final report. Design Options and Trade-Off Criteria Three designs are evaluated, involving design J1 that is inspired by Joby Aviation and has two tilting rotors on each wing, and another tilting rotor on the horizontal stabiliser. The second design is the L1, inspired by Lilium, which features a tandem wing and has tilting ducted fans on each wing. The last one is the W1, inspired by the Wigeon group, and has tilting tandem wings with fixed rotors. To assess each design, trade-off criteria have been made, each with its own score. These are the mission energy, stability &amp; controllability, crashworthiness, noise, production costs, and operational costs excluding fuel criteria. Each has been given relative weights of 30%, 20%, 20%, 10%, 10% and 10%, respectively. Based on the centre-of-gravity envelopes, a trade-off value has been given to each conceptual design based on how restrictive stability and control is for them. A high value corresponds to a low compromise, flexible design concept. If a design cannot meet the cg excursion requirements it is automatically discarded. Due to this, a new design J2 had to be introduced, which is an improvement on the J1, due to J1’s unacceptable vertical flight controllability characteristics. Trade-Off Based on the trade-off criteria, the design J2 was chosen as it received a score of 2.4/3, a big lead compared to the other W1 which received a score of 1.8/3 and L1 which received a score of 1.5/3. Design J1 was discarded, as it did not meet control &amp; stability requirements.","url":"https://doi.org/10.5281/zenodo.8056301","authors":["W. Albers","J. Arends","B.A. Van Battum","E. Hadzhiyski","C. Karaca","D. M. Keijzer","L. Middendorp","S. De Rijke","B. Sarıgöl","C. Simon Soria"],"tags":["aircraft design","eVTOL","hydrogen","crashworthiness","electric","battery"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2023","doi":"10.5281/zenodo.8056301","addedAt":"2026-08-31T06:39:37.915Z","updatedAt":"2026-08-31T06:39:37.915Z"},{"id":"doi:10.5281/zenodo.8055975","name":"Baseline Report - Aetheria, hydrogen-based long-range eVTOL designed for crashworthiness","source":"datacite","abstract":"Baseline Report of the Design, Synthesis and Exercise (DSE) carried on during the Spring DSE 2023, group 11, assignment \"hydrogen-based long-range eVTOL designed for crashworthiness\". Tutors: Saullo G. P. Castro &amp; Fulvio Scarano Coaches: Marina B. Lopez &amp; Justus Benad Institution: Delft University of Technology Place: Faculty of Aerospace Engineering, Delft Submission Date: Thrusday 11th of May, 2023 Executive Overview In recent years, the research and development for alternative means of travel have surged in search for faster, more efficient and more sustainable travel options. Moreover, increasing congestion and air pollution require ever more urgent solutions. Electric Vertical Take-Off and Landing (eVTOL) aircraft have the potential to be the solution to this problem. This new type of aircraft provides capabilities of flying over a congested city in a matter of minutes and providing point-to-point transport. An extension of the eVTOL design is the inclusion of hydrogen-based propulsion, which will yield a larger possible range for the aircraft. Therefore, this DSE project will focus on using hydrogen to increase the efficiency of long-range eVTOLs powered by batteries. The Mission Need Statement (MNS) of the project is as follows: Design a sustainable long-range hydrogen eVTOL for crashworthiness that can transport four passengers This report serves as the foundation based on which the final detailed design will be made. Literature studies on the current eVTOL market, as well as technical risks and requirements assessment and a sustainability analysis, are done. Finally, some preliminary designs are presented which will be further investigated in future reports.","url":"https://doi.org/10.5281/zenodo.8055975","authors":["W. Albers","J. Arends","B. A. Van Battum","E. Hadzhiyski","C. Karaca","D. M. Keijzer","L. Middendorp","S. De Rijke","B. Sarıgöl","C. Simon Soria"],"tags":["aircraft design","eVTOL","hydrogen","crashworthiness","electric","battery"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2023","doi":"10.5281/zenodo.8055975","addedAt":"2026-08-31T06:39:37.915Z","updatedAt":"2026-08-31T06:39:37.915Z"},{"id":"doi:10.5281/zenodo.8055976","name":"Baseline Report - Aetheria, hydrogen-based long-range eVTOL designed for crashworthiness","source":"openalex","abstract":"Baseline Report of the Design, Synthesis and Exercise (DSE) carried on during the Spring DSE 2023, group 11, assignment \"hydrogen-based long-range eVTOL designed for crashworthiness\". Tutors: Saullo G. P. Castro &amp; Fulvio Scarano Coaches: Marina B. Lopez &amp; Justus Benad Institution: Delft University of Technology Place: Faculty of Aerospace Engineering, Delft Submission Date: Thrusday 11th of May, 2023 Executive Overview In recent years, the research and development for alternative means of travel have surged in search for faster, more efficient and more sustainable travel options. Moreover, increasing congestion and air pollution require ever more urgent solutions. Electric Vertical Take-Off and Landing (eVTOL) aircraft have the potential to be the solution to this problem. This new type of aircraft provides capabilities of flying over a congested city in a matter of minutes and providing point-to-point transport. An extension of the eVTOL design is the inclusion of hydrogen-based propulsion, which will yield a larger possible range for the aircraft. Therefore, this DSE project will focus on using hydrogen to increase the efficiency of long-range eVTOLs powered by batteries. The Mission Need Statement (MNS) of the project is as follows: Design a sustainable long-range hydrogen eVTOL for crashworthiness that can transport four passengers This report serves as the foundation based on which the final detailed design will be made. Literature studies on the current eVTOL market, as well as technical risks and requirements assessment and a sustainability analysis, are done. Finally, some preliminary designs are presented which will be further investigated in future reports.","url":"https://doi.org/10.5281/zenodo.8055976","authors":["W. Albers","J. Arends","B. A. Van Battum","E. Hadzhiyski","C. Karaca","D. M. Keijzer","L. Middendorp","S. De Rijke","B. Sarıgöl","C. Simon Soria","Wulf Albers","B. A. van Battum"],"tags":["aircraft design","eVTOL","hydrogen","crashworthiness","electric","battery","Crashworthiness","Baseline (sea)","Range (aeronautics)","Environmental science"],"confidence":0.72,"sites":["low-altitude"],"publishedDate":"2023","doi":"10.5281/zenodo.8055976","addedAt":"2026-08-31T06:39:37.915Z","updatedAt":"2026-08-31T14:45:35.251Z"},{"id":"doi:10.5281/zenodo.8125989","name":"Final Report - Aetheria, hydrogen-based long-range eVTOL designed for crashworthiness","source":"datacite","abstract":"Final Report of the Design, Synthesis and Exercise (DSE) carried on during the Spring DSE 2023, group 11, assignment \"hydrogen-based long-range eVTOL designed for crashworthiness\". Tutors: Saullo G. P. Castro &amp; Fulvio Scarano Coaches: Marina B. Lopez &amp; Justus Benad Institution: Delft University of Technology Place: Faculty of Aerospace Engineering, Delft Submission Date: Tuesday 27th of June, 2023 Summary In light of increasing research and development efforts exploring alternative modes of transporta- tion, there has been a noticeable increase in the quest for faster, more efficient, and sustainable travel options. This has gained urgency due to the substantial increase in air pollution and traffic congestion. As one of the solutions, the Vertical Take-Off and Landing (eVTOL) aircraft may hold the key to this issue’s resolution. Particularly, the addition of hydrogen-based propulsion to the eVTOL design has emerged as a significant enhancement, increasing the aircraft’s potential range. Therefore, the goal of this Design Synthesis Exercise (DSE) is to implement hydrogen as a means to improve the performance of battery-powered long-range eVTOLs. The Mission Need Statement (MNS) of the project is formulated as follows: Design a safe and sustainable long-range hydrogen eVTOL that can transport four passengers The team has organized itself into both managerial and technical roles, with each team member connected to a specific department. The functional flow diagram (FFD) and the functional break- down structure (FBS) were updated from the baseline report, and presented in more depth in order to demonstrate the tasks as they become clearer and more specific. Additionally, a project design and development logic diagram demonstrates the progression of the project beyond the prelimi- nary design phase, including detailed design, prototype construction, testing, certification, mass production, commercialization, regular inspections, and eventual recycling and disposal.","url":"https://doi.org/10.5281/zenodo.8125989","authors":["W. Albers","J. Arends","B. A. Van Battum","E. Hadzhiyski","C. Karaca","D. M. Keijzer","L. Middendorp","S. De Rijke","B. Sarıgöl","C. Simon Soria"],"tags":["aircraft design","eVTOL","hydrogen","crashworthiness","electric","battery"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2023","doi":"10.5281/zenodo.8125989","addedAt":"2026-08-31T06:39:37.915Z","updatedAt":"2026-08-31T06:39:37.915Z"},{"id":"doi:10.5281/zenodo.8125990","name":"Final Report - Aetheria, hydrogen-based long-range eVTOL designed for crashworthiness","source":"openalex","abstract":"Final Report of the Design, Synthesis and Exercise (DSE) carried on during the Spring DSE 2023, group 11, assignment \"hydrogen-based long-range eVTOL designed for crashworthiness\". Tutors: Saullo G. P. Castro &amp; Fulvio Scarano Coaches: Marina B. Lopez &amp; Justus Benad Institution: Delft University of Technology Place: Faculty of Aerospace Engineering, Delft Submission Date: Tuesday 27th of June, 2023 Summary In light of increasing research and development efforts exploring alternative modes of transporta- tion, there has been a noticeable increase in the quest for faster, more efficient, and sustainable travel options. This has gained urgency due to the substantial increase in air pollution and traffic congestion. As one of the solutions, the Vertical Take-Off and Landing (eVTOL) aircraft may hold the key to this issue’s resolution. Particularly, the addition of hydrogen-based propulsion to the eVTOL design has emerged as a significant enhancement, increasing the aircraft’s potential range. Therefore, the goal of this Design Synthesis Exercise (DSE) is to implement hydrogen as a means to improve the performance of battery-powered long-range eVTOLs. The Mission Need Statement (MNS) of the project is formulated as follows: Design a safe and sustainable long-range hydrogen eVTOL that can transport four passengers The team has organized itself into both managerial and technical roles, with each team member connected to a specific department. The functional flow diagram (FFD) and the functional break- down structure (FBS) were updated from the baseline report, and presented in more depth in order to demonstrate the tasks as they become clearer and more specific. Additionally, a project design and development logic diagram demonstrates the progression of the project beyond the prelimi- nary design phase, including detailed design, prototype construction, testing, certification, mass production, commercialization, regular inspections, and eventual recycling and disposal.","url":"https://doi.org/10.5281/zenodo.8125990","authors":["W. Albers","J. Arends","B. A. Van Battum","E. Hadzhiyski","C. Karaca","D. M. Keijzer","L. Middendorp","S. De Rijke","B. Sarıgöl","C. Simon Soria","Willem Albers","B. A. van Battum"],"tags":["aircraft design","eVTOL","hydrogen","crashworthiness","electric","battery","Crashworthiness","Range (aeronautics)","Hydrogen","Nuclear engineering"],"confidence":0.72,"sites":["low-altitude"],"publishedDate":"2023","doi":"10.5281/zenodo.8125990","addedAt":"2026-08-31T06:39:37.915Z","updatedAt":"2026-08-31T14:45:35.251Z"},{"id":"doi:10.48550/arxiv.2307.03286","name":"Physics-Infused Machine Learning Based Prediction of VTOL Aerodynamics with Sparse Datasets","source":"datacite","abstract":"Complex optimal design and control processes often require repeated evaluations of expensive objective functions and consist of large design spaces. Data-driven surrogates such as neural networks and Gaussian processes provide an attractive alternative to simulations and are utilized frequently to represent these objective functions in optimization. However, pure data-driven models, due to a lack of adherence to basic physics laws and constraints, are often poor at generalizing and extrapolating. This is particularly the case, when training occurs over sparse high-fidelity datasets. A class of Physics-infused machine learning (PIML) models integrate ML models with low-fidelity partial physics models to improve generalization performance while retaining computational efficiency. This paper presents two potential approaches for Physics infused modelling of aircraft aerodynamics which incorporate Artificial Neural Networks with a low-fidelity Vortex Lattice Method model with blown wing effects (BLOFI) to improve prediction performance while also keeping the computational cost tractable. This paper also develops an end-to-end auto differentiable open-source framework that enables efficient training of such hybrid models. These two PIML modelling approaches are then used to predict the aerodynamic coefficients of a 6 rotor eVTOL aircraft given its control parameters and flight conditions. The models are trained on a sparse high-fidelity dataset generated using a CHARM model. The trained models are then compared against the vanilla low-fidelity model and a standard pure data-driven ANN. Our results show that one of the proposed architectures outperforms all the other models at a nominal increase in run time. These results are promising and pave way for PIML frameworks which can generalize over different aircraft and configurations thereby significantly reducing costs of design and control.","url":"https://doi.org/10.48550/arxiv.2307.03286","authors":["Oddiraju, Manaswin","Amin, Divyang","Piedmonte, Michael","Chowdhury, Souma"],"tags":["Computational Engineering, Finance, and Science (cs.CE)","FOS: Computer and information sciences","FOS: Computer and information sciences"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2023","doi":"10.48550/arxiv.2307.03286","addedAt":"2026-08-31T06:39:37.915Z","updatedAt":"2026-08-31T06:39:37.915Z"},{"id":"doi:10.5281/zenodo.5576027","name":"Midterm Report - Multi-Disciplinary Design and Optimisation of a Long-Range eVTOL Aircraft","source":"datacite","abstract":"Midterm Report of the Design, Synthesis and Exercise (DSE) carried on during the Spring DSE 2021, group 06, assignment \"Multi-Disciplinary Design and Optimisation of a Long-Range eVTOL Aircraft\". Tutor: Saullo Giovani Pereira Castro Coaches: Davide Biagini and Ali Nokhbatolfoghahai Institution: Delft University of Technology Place: Faculty of Aerospace Engineering, Delft Submission Date: Thursday 27th May, 2021 Summary The issue of adequate transportation is widespread. Not only are many modes of transportation expensive, but they often require dedicated infrastructure and are prone to traffic and congestion. In an attempt to attenuate this costly problem an electrical Vertical Takeoff and Landing (eVTOL) aircraft concept is proposed. To be precise, three such concepts are proposed. One with a tandem wing configuration, another with a box wing and a third with a single wing. While there can be three such solutions, the objective remains the same, which is to provide sustainable, personal aerial transportation for inter-city travel that is competitive with the current transportation methods while requiring minimal infrastructure. In order to accomplish this goal, several steps are taken, which are hereby explained. In Chapter 2 the organisational structure of the group is explained, which allows for the project plan to be explicated in Chapter 3. After the planning is complete the trade-off criteria is listed in Chapter 4 and possible solutions can be graphed by means of a design option tree in Chapter 5. However, out of the realm of possibility, one is likely to be the most suitable for the problem at hand. The purpose of this report is to select the concept which performs the best under the requirements previously formulated, that state what the solution shall do and how it shall do it. Through these requirements, it is possible to establish the relevant trade-off criteria and thereby create a trade-off matrix. That being said the criteria of the trade-off matrix have yet to be defined, for which preliminary values are necessary. For these, Chapter 6 outlines the method used to size the vehicle, using a set of statistical models after the concepts are illustrated. In this, the stall speed, climb rate, turning load factor, and other parameters pertaining to the aircraft is estimated, including the mass. Then the flight performance is discussed in Chapter 7. Therein the aircraft is analysed during the different phases of flight. This leads to its energy consumption being considered during different phases. Thereafter its climb performance is evaluated as well as aspects of the passengers. After that the aerodynamics of the aircraft is explicated in Chapter 8. This includes estimations of the lift and drag coefficients, the design of the wing (if applicable) and the selection of airfoils for the concepts. Once that is complete the drag estimation can be concretised and a more accurate version of the drag polar can be made. The discussion of the design continues with the Propulsion &amp; Power subsystem in Chapter 9, the crux of which lies in selecting a proper and adequate source of power. Several options were considered, including a variety of hydrogen fuel cells and batteries. The design of the propulsion subsystem of the vehicle also presented itself as a challenge, but it could be overcome with Actuator Disk Theory, which exploits the relationship between the area of a propeller and the weight of the aircraft. The stability and control of any aircraft not only constitutes passenger comfort, but also governs their safety during flight, an essential discipline that is presented in Chapter 10. In this chapter, the controllability is explained in hover, through a set of state space models that govern the output of a system, given the inputs. An aircraft is only as good as the loads it is capable to withstand, which implicates another crucial aspect of the design of an aircraft, namely the structure thereof. Chapter 11 presents t","url":"https://doi.org/10.5281/zenodo.5576027","authors":["Alba-Maestre, Javier","Beyne, Egon","Buszek, Michael","Cuadrat-Grzybowski, Miguel","López, Noah Salvador","Poliakov, Nikita","Prud'homme van Reine, Koen","Santamaría, Alejandro Montoya","Schoser, Jakob","Wadia, Kaizad"],"tags":["multidisciplinary design and optimization","electric aircraft","eVTOL","trade-off","aircraft design"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2021","doi":"10.5281/zenodo.5576027","addedAt":"2026-08-31T06:39:37.915Z","updatedAt":"2026-08-31T06:39:37.915Z"},{"id":"doi:10.5281/zenodo.5720244","name":"Midterm Report - Multi-Disciplinary Design and Optimisation of a Long-Range eVTOL Aircraft","source":"openalex","abstract":"Midterm Report of the Design, Synthesis and Exercise (DSE) carried on during the Spring DSE 2021, group 06, assignment \"Multi-Disciplinary Design and Optimisation of a Long-Range eVTOL Aircraft\". Tutor: Saullo Giovani Pereira Castro Coaches: Davide Biagini and Ali Nokhbatolfoghahai Institution: Delft University of Technology Place: Faculty of Aerospace Engineering, Delft Submission Date: Thursday 27th May, 2021 Summary The issue of adequate transportation is widespread. Not only are many modes of transportation expensive, but they often require dedicated infrastructure and are prone to traffic and congestion. In an attempt to attenuate this costly problem an electrical Vertical Takeoff and Landing (eVTOL) aircraft concept is proposed. To be precise, three such concepts are proposed. One with a tandem wing configuration, another with a box wing and a third with a single wing. While there can be three such solutions, the objective remains the same, which is to provide sustainable, personal aerial transportation for inter-city travel that is competitive with the current transportation methods while requiring minimal infrastructure. In order to accomplish this goal, several steps are taken, which are hereby explained. In Chapter 2 the organisational structure of the group is explained, which allows for the project plan to be explicated in Chapter 3. After the planning is complete the trade-off criteria is listed in Chapter 4 and possible solutions can be graphed by means of a design option tree in Chapter 5. However, out of the realm of possibility, one is likely to be the most suitable for the problem at hand. The purpose of this report is to select the concept which performs the best under the requirements previously formulated, that state what the solution shall do and how it shall do it. Through these requirements, it is possible to establish the relevant trade-off criteria and thereby create a trade-off matrix. That being said the criteria of the trade-off matrix have yet to be defined, for which preliminary values are necessary. For these, Chapter 6 outlines the method used to size the vehicle, using a set of statistical models after the concepts are illustrated. In this, the stall speed, climb rate, turning load factor, and other parameters pertaining to the aircraft is estimated, including the mass. Then the flight performance is discussed in Chapter 7. Therein the aircraft is analysed during the different phases of flight. This leads to its energy consumption being considered during different phases. Thereafter its climb performance is evaluated as well as aspects of the passengers. After that the aerodynamics of the aircraft is explicated in Chapter 8. This includes estimations of the lift and drag coefficients, the design of the wing (if applicable) and the selection of airfoils for the concepts. Once that is complete the drag estimation can be concretised and a more accurate version of the drag polar can be made. The discussion of the design continues with the Propulsion &amp; Power subsystem in Chapter 9, the crux of which lies in selecting a proper and adequate source of power. Several options were considered, including a variety of hydrogen fuel cells and batteries. The design of the propulsion subsystem of the vehicle also presented itself as a challenge, but it could be overcome with Actuator Disk Theory, which exploits the relationship between the area of a propeller and the weight of the aircraft. The stability and control of any aircraft not only constitutes passenger comfort, but also governs their safety during flight, an essential discipline that is presented in Chapter 10. In this chapter, the controllability is explained in hover, through a set of state space models that govern the output of a system, given the inputs. An aircraft is only as good as the loads it is capable to withstand, which implicates another crucial aspect of the design of an aircraft, namely the structure thereof. Chapter 11 presents t","url":"https://doi.org/10.5281/zenodo.5720244","authors":["Alba-Maestre, Javier","Beyne, Egon","Buszek, Michael","Cuadrat-Grzybowski, Miguel","López, Noah Salvador","Poliakov, Nikita","Prud'homme van Reine, Koen","Santamaría, Alejandro Montoya","Schoser, Jakob","Wadia, Kaizad","Javier Alba-Maestre","Egon Beyne"],"tags":["multidisciplinary design and optimization","electric aircraft","eVTOL","trade-off","aircraft design","Discipline","Range (aeronautics)","Aeronautics","Aerospace engineering","Engineering"],"confidence":0.72,"sites":["low-altitude"],"publishedDate":"2021","doi":"10.5281/zenodo.5720244","addedAt":"2026-08-31T06:39:37.915Z","updatedAt":"2026-08-31T14:45:35.251Z"},{"id":"doi:10.5281/zenodo.5575953","name":"Baseline Report - Multi-Disciplinary Design and Optimisation of a Long-Range eVTOL Aircraft","source":"datacite","abstract":"Baseline Report of the Design, Synthesis and Exercise (DSE) carried on during the Spring DSE 2021, group 06, assignment \"Multi-Disciplinary Design and Optimisation of a Long-Range eVTOL Aircraft\". Tutor: Saullo Giovani Pereira Castro Coaches: Davide Biagini and Ali Nokhbatolfoghahai Institution: Delft University of Technology Place: Faculty of Aerospace Engineering, Delft Submission Date: Thursday 6th May, 2021 Executive summary Around the world, many cities suffer from increasing traffic and congestion problems. Vertical takeoff and landing aircraft are a promising technology to alleviate this problem. Due to their ability to overfly obstacles, move independently of ground infrastructure and take off from anywhere, they could allow for very fast door-to-door transport. It is the aim of this DSE project to explore this market opportunity and design a VTOL aircraft that can carry four passengers over 300 km. Due to the growing relevance of sustainability in transport, the design space will be constrained to electric VTOLs (eVTOL). The mission need statement of the project is as follows: Provide sustainable, personal aerial transportation for intercity travel that is competitive with the current transportation methods while requiring minimal infrastructure. In the report at hand, several aspects of this mission are investigated in detail and the information is used to generate technical requirements. Finally, possible designs for the mission are identified and selected for further analysis. Chapter 2 outlines the functional analysis of all stages of the project. This is a crucial step in the design, since analysing the functions required by the design process and eVTOL provide a clear picture of the use case. On a high level, the functions were investigated in five phases: mission introduction, aircraft design, production and delivery of the aircraft, operation of the aircraft, and disposal of the aircraft. Aircraft operation is of the greatest interest to the customer, which is why it is analysed in greater detail than the others: the steps taken in preflight actions, take-off, cruise, extending the mission, landing and post-flight actions are broken down to up to four levels to capture detail. The result can be seen in the functional flow block diagram and functional breakdown structure. In Chapter 3, the market opportunities for a long-range eVTOL are explored. Among the possible target industries, the commercial transport and private sector were deemed the most promising. With its range of 300 km, the eVTOL could satisfy the needs of intracity travel, but most importantly be used for intercity travel as well. In Europe, 300 km is a typical distance to be covered by commuters and tourists in business and personal trips. It is in this market segment where a long-range eVTOL could hope to gain a lot of traction. Furthermore, it could be a comfortable personal mode of transport for higher income populations. Europe and the United States provide good conditions for this. Europe in particular is suitable since it has many major cities at small distances from each other. Based on previous studies, it was concluded that a market size of 15 billion US dollars could be achieved by 2040 for eVTOLs in the chosen market segment. This corresponds to annual sales of about 5000 units. The team could aim to partake in this with 205 eVTOL vehicles sold per year, priced at 1.53 million apiece. The direct competitors would be helicopters and other eVTOL projects. To inform the sustainable planning of the project, Chapter 4 lays out a literature review on the environmental and social sustainability of eVTOLs. It is found that eVTOLs produce less greenhouse gas emissions than conventional internal combustion engine cars for distances longer than 50 km. Larger distances allow the eVTOL to take advantage of the aerodynamically optimised cruise configuration. However, the sustainability of eVTOLs may be limited by their energy source. Especially Lit","url":"https://doi.org/10.5281/zenodo.5575953","authors":["Alba-Maestre, Javier","Beyne, Egon","Buszek, Michael","Cuadrat-Grzybowski, Miguel","López, Noah Salvador","Poliakov, Nikita","Prud'homme van Reine, Koen","Santamaría, Alejandro Montoya","Schoser, Jakob","Wadia, Kaizad"],"tags":["multidisciplinary design and optimization","electric aircraft","eVTOL","market analysis","aircraft design"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2021","doi":"10.5281/zenodo.5575953","addedAt":"2026-08-31T06:39:37.915Z","updatedAt":"2026-08-31T06:39:38.385Z"},{"id":"doi:10.5281/zenodo.5578058","name":"Midterm Report - Multi-Disciplinary Design and Optimisation of a Long-Range eVTOL Aircraft","source":"datacite","abstract":"Midterm Report of the Design, Synthesis and Exercise (DSE) carried on during the Spring DSE 2021, group 06, assignment \"Multi-Disciplinary Design and Optimisation of a Long-Range eVTOL Aircraft\". Tutor: Saullo Giovani Pereira Castro Coaches: Davide Biagini and Ali Nokhbatolfoghahai Institution: Delft University of Technology Place: Faculty of Aerospace Engineering, Delft Submission Date: Thursday 27th May, 2021 Summary The issue of adequate transportation is widespread. Not only are many modes of transportation expensive, but they often require dedicated infrastructure and are prone to traffic and congestion. In an attempt to attenuate this costly problem an electrical Vertical Takeoff and Landing (eVTOL) aircraft concept is proposed. To be precise, three such concepts are proposed. One with a tandem wing configuration, another with a box wing and a third with a single wing. While there can be three such solutions, the objective remains the same, which is to provide sustainable, personal aerial transportation for inter-city travel that is competitive with the current transportation methods while requiring minimal infrastructure. In order to accomplish this goal, several steps are taken, which are hereby explained. In Chapter 2 the organisational structure of the group is explained, which allows for the project plan to be explicated in Chapter 3. After the planning is complete the trade-off criteria is listed in Chapter 4 and possible solutions can be graphed by means of a design option tree in Chapter 5. However, out of the realm of possibility, one is likely to be the most suitable for the problem at hand. The purpose of this report is to select the concept which performs the best under the requirements previously formulated, that state what the solution shall do and how it shall do it. Through these requirements, it is possible to establish the relevant trade-off criteria and thereby create a trade-off matrix. That being said the criteria of the trade-off matrix have yet to be defined, for which preliminary values are necessary. For these, Chapter 6 outlines the method used to size the vehicle, using a set of statistical models after the concepts are illustrated. In this, the stall speed, climb rate, turning load factor, and other parameters pertaining to the aircraft is estimated, including the mass. Then the flight performance is discussed in Chapter 7. Therein the aircraft is analysed during the different phases of flight. This leads to its energy consumption being considered during different phases. Thereafter its climb performance is evaluated as well as aspects of the passengers. After that the aerodynamics of the aircraft is explicated in Chapter 8. This includes estimations of the lift and drag coefficients, the design of the wing (if applicable) and the selection of airfoils for the concepts. Once that is complete the drag estimation can be concretised and a more accurate version of the drag polar can be made. The discussion of the design continues with the Propulsion &amp; Power subsystem in Chapter 9, the crux of which lies in selecting a proper and adequate source of power. Several options were considered, including a variety of hydrogen fuel cells and batteries. The design of the propulsion subsystem of the vehicle also presented itself as a challenge, but it could be overcome with Actuator Disk Theory, which exploits the relationship between the area of a propeller and the weight of the aircraft. The stability and control of any aircraft not only constitutes passenger comfort, but also governs their safety during flight, an essential discipline that is presented in Chapter 10. In this chapter, the controllability is explained in hover, through a set of state space models that govern the output of a system, given the inputs. An aircraft is only as good as the loads it is capable to withstand, which implicates another crucial aspect of the design of an aircraft, namely the structure thereof. Chapter 11 presents t","url":"https://doi.org/10.5281/zenodo.5578058","authors":["Beyne, Egon","Buszek, Michael","Cuadrat-Grzybowski, Miguel","López, Noah Salvador","Alba-Maestre, Javier","Poliakov, Nikita","Prud'homme van Reine, Koen","Santamaría, Alejandro Montoya","Schoser, Jakob","Wadia, Kaizad"],"tags":["multidisciplinary design and optimization","electric aircraft","eVTOL","trade-off","aircraft design"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2021","doi":"10.5281/zenodo.5578058","addedAt":"2026-08-31T06:39:37.915Z","updatedAt":"2026-08-31T06:39:37.915Z"},{"id":"doi:10.5281/zenodo.5576028","name":"Midterm Report - Multi-Disciplinary Design and Optimisation of a Long-Range eVTOL Aircraft","source":"openalex","abstract":"Midterm Report of the Design, Synthesis and Exercise (DSE) carried on during the Spring DSE 2021, group 06, assignment \"Multi-Disciplinary Design and Optimisation of a Long-Range eVTOL Aircraft\". Tutor: Saullo Giovani Pereira Castro Coaches: Davide Biagini and Ali Nokhbatolfoghahai Institution: Delft University of Technology Place: Faculty of Aerospace Engineering, Delft Submission Date: Thursday 27th May, 2021 Summary The issue of adequate transportation is widespread. Not only are many modes of transportation expensive, but they often require dedicated infrastructure and are prone to traffic and congestion. In an attempt to attenuate this costly problem an electrical Vertical Takeoff and Landing (eVTOL) aircraft concept is proposed. To be precise, three such concepts are proposed. One with a tandem wing configuration, another with a box wing and a third with a single wing. While there can be three such solutions, the objective remains the same, which is to provide sustainable, personal aerial transportation for inter-city travel that is competitive with the current transportation methods while requiring minimal infrastructure. In order to accomplish this goal, several steps are taken, which are hereby explained. In Chapter 2 the organisational structure of the group is explained, which allows for the project plan to be explicated in Chapter 3. After the planning is complete the trade-off criteria is listed in Chapter 4 and possible solutions can be graphed by means of a design option tree in Chapter 5. However, out of the realm of possibility, one is likely to be the most suitable for the problem at hand. The purpose of this report is to select the concept which performs the best under the requirements previously formulated, that state what the solution shall do and how it shall do it. Through these requirements, it is possible to establish the relevant trade-off criteria and thereby create a trade-off matrix. That being said the criteria of the trade-off matrix have yet to be defined, for which preliminary values are necessary. For these, Chapter 6 outlines the method used to size the vehicle, using a set of statistical models after the concepts are illustrated. In this, the stall speed, climb rate, turning load factor, and other parameters pertaining to the aircraft is estimated, including the mass. Then the flight performance is discussed in Chapter 7. Therein the aircraft is analysed during the different phases of flight. This leads to its energy consumption being considered during different phases. Thereafter its climb performance is evaluated as well as aspects of the passengers. After that the aerodynamics of the aircraft is explicated in Chapter 8. This includes estimations of the lift and drag coefficients, the design of the wing (if applicable) and the selection of airfoils for the concepts. Once that is complete the drag estimation can be concretised and a more accurate version of the drag polar can be made. The discussion of the design continues with the Propulsion &amp; Power subsystem in Chapter 9, the crux of which lies in selecting a proper and adequate source of power. Several options were considered, including a variety of hydrogen fuel cells and batteries. The design of the propulsion subsystem of the vehicle also presented itself as a challenge, but it could be overcome with Actuator Disk Theory, which exploits the relationship between the area of a propeller and the weight of the aircraft. The stability and control of any aircraft not only constitutes passenger comfort, but also governs their safety during flight, an essential discipline that is presented in Chapter 10. In this chapter, the controllability is explained in hover, through a set of state space models that govern the output of a system, given the inputs. An aircraft is only as good as the loads it is capable to withstand, which implicates another crucial aspect of the design of an aircraft, namely the structure thereof. Chapter 11 presents t","url":"https://doi.org/10.5281/zenodo.5576028","authors":["Beyne, Egon","Buszek, Michael","Cuadrat-Grzybowski, Miguel","López, Noah Salvador","Maestre, Javier Alba","Poliakov, Nikita","van Reine, Koen Prud'homme","Santamaría, Alejandro Montoya","Schoser, Jakob","Wadia, Kaizad","Egon Beyne","Michael Buszek"],"tags":["multidisciplinary design and optimization","electric aircraft","eVTOL","trade-off","aircraft design","Range (aeronautics)","Aeronautics","Discipline","Engineering","Aerospace engineering"],"confidence":0.72,"sites":["low-altitude"],"publishedDate":"2021","doi":"10.5281/zenodo.5576028","addedAt":"2026-08-31T06:39:37.915Z","updatedAt":"2026-08-31T14:45:35.251Z"},{"id":"doi:10.1184/r1/14226830.v2","name":"eVTOL Battery Dataset","source":"datacite","abstract":"A dataset of lithium ion battery discharge data including voltage, temperature, and current from eVTOL duty cycles. The baseline profile is:- High power discharge (takeoff)- Low power discharge (cruise)- High power discharge (landing)- Rest to allow temperature to moderate- Constant current charge- Constant voltage charge- Rest This dataset varies parameters such as ambient temperature, cruise length, aircraft power, charge current, and others which eVTOLs may regularly encounter during flight. It is intended to assist with the development of algorithms to manage electric aircraft batteries, including state of charge and state of health estimation, lifetime prediction, and others.","url":"https://doi.org/10.1184/r1/14226830.v2","authors":["Bills, Alexander","Viswanathan, Venkatasubramanian","Sripad, Shashank","Frank, Evan","Charles, Devin","Fredericks, William Leif"],"tags":["91305 Energy Generation, Conversion and Storage Engineering","FOS: Mechanical engineering","90199 Aerospace Engineering not elsewhere classified"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2023","doi":"10.1184/r1/14226830.v2","addedAt":"2026-08-31T06:39:37.915Z","updatedAt":"2026-08-31T06:39:37.915Z"},{"id":"doi:10.15480/882.5138","name":"Life cycle engineering of future aircraft systems : the case of eVTOL vehicles","source":"datacite","abstract":"This paper introduces the first steps towards a general modelling framework for the integrated life cycle engineering (LCE) of future air transportation systems. The focus of analysis lies on the potential environmental implications of batteries powering electric vertical takeoff and landing aircrafts (eVTOLs), which have emerged as an option for urban air mobility to alleviate automobile traffic in cities. The impact of main influencing factors on the sustainability of eVTOLs is discussed, presenting the main modelling requirements for an LCE framework to accompany the transition towards a more sustainable air mobility.","url":"https://doi.org/10.15480/882.5138","authors":["Pinheiro Melo, Sofia","Cerdas, Felipe","Barke, Alexander","Thies, Christian","Spengler, Thomas Stefan","Herrmann, Christoph"],"tags":["Aviation","Batteries","Life Cycle Engineering","VTOLs","Technik"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2020","doi":"10.15480/882.5138","addedAt":"2026-08-31T06:39:37.915Z","updatedAt":"2026-08-31T06:39:37.915Z"},{"id":"doi:10.5281/zenodo.7907669","name":"Lilium's Journey to the Launch of eVTOL Regional Air Services --- Revolutionizing Sustainable, High-Speed Regional Air Mobility","source":"datacite","abstract":"From his own unique perspective, as the leading founder and a director of the Lilium Company, Daniel Wiegand reviews the case for eVTOL Regional Aircraft, and the journey Lilium has taken from initial student ideas, to today's substantial company. He overviews and updates with this presentation on some of the progress made in technology development and demonstration, agreement of certification requirements, evolution of the design, and planning for entry into service of the Lilium series production aircraft.","url":"https://doi.org/10.5281/zenodo.7907669","authors":["Wiegand, Daniel"],"tags":["industry","electrical","aircraft","aviation","takeoff","landing","jet","vertical"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2023","doi":"10.5281/zenodo.7907669","addedAt":"2026-08-31T06:39:37.915Z","updatedAt":"2026-08-31T06:39:37.915Z"},{"id":"doi:10.5281/zenodo.7907670","name":"Lilium's Journey to the Launch of eVTOL Regional Air Services --- Revolutionizing Sustainable, High-Speed Regional Air Mobility","source":"datacite","abstract":"From his own unique perspective, as the leading founder and a director of the Lilium Company, Daniel Wiegand reviews the case for eVTOL Regional Aircraft, and the journey Lilium has taken from initial student ideas, to today's substantial company. He overviews and updates with this presentation on some of the progress made in technology development and demonstration, agreement of certification requirements, evolution of the design, and planning for entry into service of the Lilium series production aircraft.","url":"https://doi.org/10.5281/zenodo.7907670","authors":["Wiegand, Daniel"],"tags":["industry","electrical","aircraft","aviation","takeoff","landing","jet","vertical"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2023","doi":"10.5281/zenodo.7907670","addedAt":"2026-08-31T06:39:37.915Z","updatedAt":"2026-08-31T06:39:37.915Z"},{"id":"doi:10.48550/arxiv.2304.14889","name":"Large-scale multidisciplinary design optimization of the NASA lift-plus-cruise concept using a novel aircraft design framework","source":"datacite","abstract":"The conceptual design of eVTOL aircraft is a high-dimensional optimization problem that involves large numbers of continuous design parameters. Therefore, eVTOL design method would benefit from numerical optimization algorithms capable of systematically searching these high-dimensional parameters spaces, using comprehensive and multidisciplinary models of the aircraft. By leveraging recent progress in sensitivity analysis methods, a computational framework called the Comprehensive Aircraft high-Dimensional DEsign Environment (CADDEE) has been developed for large-scale multidisciplinary design optimization (MDO) of electric air taxis. CADDEE uses a geometry-centric approach that propagates geometry changes in a differentiable manner to meshes for physics-based models of arbitrary fidelity level. The paper demonstrates the capabilities of this new aircraft design tool, by presenting large-scale MDO results for NASA's Lift+Cruise eVTOL concept. MDO with over 100 design variables, 17 constraints, and low-fidelity predictive models for key disciplines is demonstrated with an optimization time of less than one hour with a desktop computer. The results show a reduction in gross weight of 11.4% and suggest that CADDEE can be valuable in the conceptual design and optimization of eVTOL aircraft.","url":"https://doi.org/10.48550/arxiv.2304.14889","authors":["Ruh, Marius L.","Sarojini, Darshan","Fletcher, Andrew","Asher, Isaac","Hwang, John T."],"tags":["Computational Engineering, Finance, and Science (cs.CE)","Optimization and Control (math.OC)","FOS: Computer and information sciences","FOS: Computer and information sciences","FOS: Mathematics","FOS: Mathematics","J.2"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2023","doi":"10.48550/arxiv.2304.14889","addedAt":"2026-08-31T06:39:37.915Z","updatedAt":"2026-08-31T06:39:37.915Z"},{"id":"doi:10.1184/r1/14226830","name":"eVTOL Battery Dataset","source":"datacite","abstract":"A dataset of lithium ion battery discharge data including voltage, temperature, and current from eVTOL duty cycles. The baseline profile is: - High power discharge (takeoff) - Low power discharge (cruise) - High power discharge (landing) - Rest to allow temperature to moderate - Constant current charge - Constant voltage charge - Rest This dataset varies parameters such as ambient temperature, cruise length, aircraft power, charge current, and others which eVTOLs may regularly encounter during flight. It is intended to assist with the development of algorithms to manage electric aircraft batteries, including state of charge and state of health estimation, lifetime prediction, and others. The files VAH##.csv contain the original cycling data, while the files VAH##_impedance.csv contain the processed internal resistance for each cell at each valid measurement of that quantity.","url":"https://doi.org/10.1184/r1/14226830","authors":["Bills, Alexander","Viswanathan, Venkatasubramanian","Sripad, Shashank","Frank, Evan","Charles, Devin","Fredericks, William Leif"],"tags":["91305 Energy Generation, Conversion and Storage Engineering","FOS: Mechanical engineering","90199 Aerospace Engineering not elsewhere classified"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2023","doi":"10.1184/r1/14226830","addedAt":"2026-08-31T06:39:37.915Z","updatedAt":"2026-08-31T06:39:37.915Z"},{"id":"doi:10.48550/arxiv.2301.12316","name":"Wind Tunnel Testing and Aerodynamic Characterization of a QuadPlane Uncrewed Aircraft System","source":"openalex","abstract":"Electric Vertical Takeoff and Landing (eVTOL) vehicles will open new opportunities in aviation. This paper describes the design and wind tunnel analysis of an eVTOL uncrewed aircraft system (UAS) prototype with a traditional aircraft wing, tail, and puller motor along with four vertical thrust pusher motors. Vehicle design and construction are summarized. Dynamic thrust from propulsion modules is experimentally determined at different airspeeds over a large sweep of propeller angles of attack. Wind tunnel tests with the vehicle prototype cover a suite of hover, transition and cruise flight conditions. Net aerodynamic forces and moments are distinctly computed and compared for plane, quadrotor and hybrid flight modes. Coefficient-based models are developed. Polynomial curve fits accurately capture observed data over all test configurations. To our knowledge, the presented wind tunnel experimental analysis for a multi-mode eVTOL platform is novel. Increased drag and reduced dynamic thrust likely due to flow interactions will be important to address in future designs.","url":"https://doi.org/10.48550/arxiv.2301.12316","authors":["Mathur, Akshay","Atkins, Ella","Akshay Mathur","Ella Atkins"],"tags":["Robotics (cs.RO)","FOS: Computer and information sciences","Takeoff and landing","Thrust","Aerodynamics","Wind tunnel","Aerospace engineering"],"confidence":0.72,"sites":["low-altitude"],"publishedDate":"2023","doi":"10.48550/arxiv.2301.12316","addedAt":"2026-08-31T06:39:37.915Z","updatedAt":"2026-08-31T14:45:35.251Z"},{"id":"doi:10.48550/arxiv.2302.05849","name":"Graph Learning Based Decision Support for Multi-Aircraft Take-Off and Landing at Urban Air Mobility Vertiports","source":"datacite","abstract":"Majority of aircraft under the Urban Air Mobility (UAM) concept are expected to be of the electric vertical takeoff and landing (eVTOL) vehicle type, which will operate out of vertiports. While this is akin to the relationship between general aviation aircraft and airports, the conceived location of vertiports within dense urban environments presents unique challenges in managing the air traffic served by a vertiport. This challenge becomes pronounced within increasing frequency of scheduled landings and take-offs. This paper assumes a centralized air traffic controller (ATC) to explore the performance of a new AI driven ATC approach to manage the eVTOLs served by the vertiport. Minimum separation-driven safety and delays are the two important considerations in this case. The ATC problem is modeled as a task allocation problem, and uncertainties due to communication disruptions (e.g., poor link quality) and inclement weather (e.g., high gust effects) are added as a small probability of action failures. To learn the vertiport ATC policy, a novel graph-based reinforcement learning (RL) solution called \"Urban Air Mobility- Vertiport Schedule Management (UAM-VSM)\" is developed. This approach uses graph convolutional networks (GCNs) to abstract the vertiport space and eVTOL space as graphs, and aggregate information for a centralized ATC agent to help generalize the environment. Unreal Engine combined with Airsim is used as the simulation environment over which training and testing occurs. Uncertainties are considered only during testing, due to the high cost of Mc sampling over such realistic simulations. The proposed graph RL method demonstrates significantly better performance on the test scenarios when compared against a feasible random decision-making baseline and a first come first serve (FCFS) baseline, including the ability to generalize to unseen scenarios and with uncertainties.","url":"https://doi.org/10.48550/arxiv.2302.05849","authors":["KrisshnaKumar, Prajit","Witter, Jhoel","Paul, Steve","Dantu, Karthik","Chowdhury, Souma"],"tags":["Multiagent Systems (cs.MA)","FOS: Computer and information sciences","FOS: Computer and information sciences"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2023","doi":"10.48550/arxiv.2302.05849","addedAt":"2026-08-31T06:39:37.915Z","updatedAt":"2026-08-31T06:39:37.915Z"},{"id":"doi:10.13016/mxqi-gifl","name":"Fabrication and Fundamental Studies of a 4-kW,Variable-Voltage, Distributed Hybrid-Electric Powertrain for eVTOL Aircraft","source":"datacite","abstract":"In this research, a small-scale, 4-Kw, variable-voltage, hybrid-electric powertrain was constructed and tested to understand the fundamental behavior of such a system. The powertrain is meant for distributed propulsion for a multirotor electric vertical take-off and landing (eVTOL) aircraft. The powertrain was examined component by component, as well as in combination with one to four distributed rotors. Steady-state mathematical models for the engine, generator, and motor were developed for performance and weight. The component models were calibrated with the test data. It was found that a simple physics-based model of brake specific fuel consumption (bsfc) is possible to build if certain thermal efficiency constants could be calibrated with test data. The impact of various losses on the electric motor efficiency plots were revealed. Statistical weight models were developed by gathering a database of commercial reciprocating engines, electric motors, and power electronics, which were accurate to within ±30%. However, given the importance of electric motors for eVTOL design, a geometry- and material-based model was also developed. This model was accurate to within a 6% average error. The principal findings of this work are that the generator voltage is a key parameter in a hybrid-electic powertrain, and engine efficiency is closely coupled to the controls and aeromechanics of an eVTOL aircraft. The ability to vary the generator voltage with operating state appears crucial for the optimal specific fuel consumption. Generator voltage is a function of engine speed. For any operating state—defined by rotor torque and RPM—the generator voltage should be minimized as far as possible. However, generator voltage limits the maximum rotor RPM; so not all rotor RPM can be achieved at the same generator voltage. Hence, the optimal generator voltage will vary with rotor RPM as needed during specific mission segments. This implies for an RPM controlled aircraft, generator voltage is not simply a criteria for design but also for control, if the optimal bsfc is to be achieved. Additionally, for any generator voltage and rotor RPM, there is a rotor torque that maximizes overall efficiency, i.e minimizes bsfc. A method for adjusting the rotor torque, such as collective pitch control, is also desired if the optimal bsfc is to be achieved. Therefore the most efficient change is power results from a combination of reducing engine RPM and increasing rotor torque and vice versa. In summary, a hybrid-electric powertrain is an attractive option for multi-rotor aircraft as long as it is judiciously designed together with the platform. It is hoped that the data generated in this dissertation and the accompanying understanding will help the future designer accomplish this task.","url":"https://doi.org/10.13016/mxqi-gifl","authors":["Mills, Brent T."],"tags":["Aerospace engineering","hybrid-electric","rotorcraft"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2022","doi":"10.13016/mxqi-gifl","addedAt":"2026-08-31T06:39:37.915Z","updatedAt":"2026-08-31T06:39:37.915Z"},{"id":"doi:10.17632/kzk3j8xhhm.1","name":"3D flight route optimization for air-taxis in urban areas (Python + arcpy repository)","source":"datacite","abstract":"This is a repository for an 3D route optimization for air taxis with the multiple criteria \"Shortest Flight Time\", \"Least Energy Consumption\" and \"Least Added Noise\". This dataset includes the code and information of how to run the optimization. The optimization can be run for multiple eVTOL types in any urban area, if the flight characteristics of the aircrafts are known and if the spatial input data is available. In the predefined set-up, the study area is New York City, and the supported aircraft types the Lilium jet 5-seater and the Ehang 184. If you wish to keep up with ongoing changes, please visit the referenced Github repository. Requirements: Install and get license for ArcGIS Pro (https://pro.arcgis.com/en/pro-app/get-started/install-and-sign-in-to-arcgis-pro.htm) Set up your Python environment: You need Python 3.68 (Comes with ArcGIS Pro). The libriaries that come with it are additionally listed in requirements.txt. Use the environment of ArcGIS Pro to run the main.py. For example, the environment for my installation is: \"C:\\Program Files\\ArcGIS\\Pro\\bin\\Python\\envs\\arcgispro-py3\\python.exe\" Download the Geodatabase \"OptimizationInputs\" and unzip. In init.py, set arcpy.env.workspace = r'...\\OptimizationInputs.gdb' to the path where you stored the downloaded Geodatabase Running the optimization: Define, which aircraft you want to use. Currently you can use the flight characteristics of the Lilium Jet 5-seater (aircraft = \"Lilium\") or to the Ehang 184 (aircraft = \"EHANG\") in main.py Define the parameters that you want to use in main.py. Keep in mind, that bigger population sizes increase the computation time. The default population sie is therefore small. Define how often you want to run the loop in the main.py at location \"for seed in range(1):\" Run the main and do not open ArcGIS Pro until optimization has finished. Otherwise you can lock the Geodatabase in use. Getting the results: The logged data that contain the fitness values are stored in the directory \"LogFiles\". The runs from you contain \"new\" in their names. The Point Feature Classes are stored in the Geodatabase.","url":"https://doi.org/10.17632/kzk3j8xhhm.1","authors":["Hildemann, Moritz Jan"],"tags":["3D Echocardiography"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2020","doi":"10.17632/kzk3j8xhhm.1","addedAt":"2026-08-31T06:39:37.915Z","updatedAt":"2026-08-31T06:39:37.915Z"},{"id":"doi:10.7907/eytr-nd50","name":"Studies on Off-Nominal Rotor Aerodynamics for eVTOL Aircraft","source":"datacite","abstract":"As electric Vertical Takeoff and Landing (eVTOL) aircraft become increasingly common, improved understanding of rotor aerodynamics in off-nominal conditions becomes ever more important. A better fundamental understanding of these effects can help inform vehicle design, leading to lower power consumption and improved performance. This thesis will cover a selection of topics to gain a better understanding of the expected rotor aerodynamics associated with use in this class of vehicle, as well as the development of tools to aid in the studies and an analysis of the impact of the effects. To consider special effects on a rotor in hover on such a vehicle, Chapter 2 is the study of obstructions in the upstream of a propeller, representing the effects of a wing or fuselage blocking a propeller’s inlet. The next is the effect of forward flight on the forces produced by a rotor. Lifting rotors are often used in eVTOL aircraft as the craft transitions to forward flight, so a study of their performance in forward flight as well as a model are presented in Chapter 3. Having examined rotor-wing interactions in hover and isolated rotor performance in forward flight, the next step is to examine rotor-wing interactions in forward flight. Chapter 6 shows the design of an integrated test stand for studying the aerodynamic interactions between lifting propellers and a wing in low-speed, transitional forward flight, as well as the subsequent results. This thesis also describes the development and implementation of two tools to aid in the work herein. The first (Chapter 4) is a rapid, low-cost method of extracting the geometry of a propeller using photogrammetry which is subsequently used in simulations. The second (Chapter 5) is low-cost and accessible multi-axis force sensor used in the integrated test stand for propeller-wing interaction studies. To assess the impact of the findings, the experimental results and models developed are then taken into consideration by applying them to models of existing eVTOL aircraft in Chapter 7. The change in modeling of hover and transition performance is studied with and without the additional modeling.","url":"https://doi.org/10.7907/eytr-nd50","authors":["Tang, Ellande"],"tags":["Mechanical Engineering","FOS: Mechanical engineering","propeller-wing interactions","ceiling effect","eVTOL","propeller aerodynamics","upstream obstructions","photogrammetry"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2023","doi":"10.7907/eytr-nd50","addedAt":"2026-08-31T06:39:37.915Z","updatedAt":"2026-08-31T06:39:37.915Z"},{"id":"doi:10.5281/zenodo.7385970","name":"Framework for Developing Digital Twin Prototypes","source":"datacite","abstract":"This paper presents an agile co-simulation framework for developing digital twin prototypes of novel flying vehicles. The framework enables rapid assessment of flying vehicles' performance and flying dynamics in the early stages of their design cycle. The framework integrates MATLAB/Simulink environment for flight dynamics modelling with the AGI STK Aviator mission simulator into a loose computational loop. The combination of two packages enables aircraft assessment not only from the flight dynamics perspective, but also from the overall mission perspective under GPS coverage and radar tracking. The advantage of such a virtual flight test and evaluation framework is the faster development of new flying vehicles, imposing mission constraints from the early stages of their design cycle. Testing a prototype model in complex mission scenarios in varying conditions allows early identification of design limitations, hence improving the aircraft design process and reducing further design costs. The paper concludes with an example of a civil eVTOL flight simulation between the two UK cities of Bristol and Cardiff. Modelling of the aerodynamics of eVTOL is based on look-up tables of numerically generated data, while the mission analysis is based on a GPS and radar surveillance capability of the aircraft along the route.","url":"https://doi.org/10.5281/zenodo.7385970","authors":["Portapas, Vilius","Zaidi, Yaseen"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2022","doi":"10.5281/zenodo.7385970","addedAt":"2026-08-31T06:39:37.915Z","updatedAt":"2026-08-31T06:39:37.915Z"},{"id":"doi:10.5281/zenodo.7385971","name":"Framework for Developing Digital Twin Prototypes","source":"datacite","abstract":"This paper presents an agile co-simulation framework for developing digital twin prototypes of novel flying vehicles. The framework enables rapid assessment of flying vehicles' performance and flying dynamics in the early stages of their design cycle. The framework integrates MATLAB/Simulink environment for flight dynamics modelling with the AGI STK Aviator mission simulator into a loose computational loop. The combination of two packages enables aircraft assessment not only from the flight dynamics perspective, but also from the overall mission perspective under GPS coverage and radar tracking. The advantage of such a virtual flight test and evaluation framework is the faster development of new flying vehicles, imposing mission constraints from the early stages of their design cycle. Testing a prototype model in complex mission scenarios in varying conditions allows early identification of design limitations, hence improving the aircraft design process and reducing further design costs. The paper concludes with an example of a civil eVTOL flight simulation between the two UK cities of Bristol and Cardiff. Modelling of the aerodynamics of eVTOL is based on look-up tables of numerically generated data, while the mission analysis is based on a GPS and radar surveillance capability of the aircraft along the route.","url":"https://doi.org/10.5281/zenodo.7385971","authors":["Portapas, Vilius","Zaidi, Yaseen"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2022","doi":"10.5281/zenodo.7385971","addedAt":"2026-08-31T06:39:37.915Z","updatedAt":"2026-08-31T06:39:37.915Z"},{"id":"doi:10.18130/v3-bhex-fq33","name":"Corvus: Urban Air Mobility Solutions for Package Delivery ; The Potential Effects of Unmanned Aerial Systems and Urban Air Mobility","source":"datacite","abstract":"Sociotechnical Synthesis The technical portion of the thesis is my team’s response to a NASA challenge for university students. This year’s challenge was to design a UAS that could deliver light packages in a small radius around a distribution center. Many private companies are talking about developing such a service, however the FAA has yet to approve any autonomous UAS services such as the one required by this challenge. NASA and the FAA are currently working together, along with the private industry attempting to offer these services, to develop a UTM system that will make such a service safer. This challenge explicitly requires that we describe how our UAS solution would fit into such a system, and I was the team member responsible for explaining that. Through my research into the FAA and NASA’s efforts into this UTM system, I found that it was currently in testing and that many emerging industries are under the understanding they will start getting clearance for their UAS systems in the upcoming years. Through this research is where the core of the STS report was formed. As a member of a team attempting to design a vehicle for this task and realizing how hard it was to design something that flies over people safely, I became wary of the upcoming ideas I was researching such as Uber Elevate. Additionally, as the technical project moved on, we found that the safer we made our UAS, the more expensive it became to produce exponentially. Research into this and decisions made to reduce cost and redundancy led to the question of how other companies would deal with such a problem. The UAS for small package delivery, though expensive, are expected to pay for themselves over their lifetimes due to the exorbitant price of the ‘last mile’ in delivery. However, for Uber’s eVTOL craft they are developing, will they be hundreds of thousands or millions of dollars a piece with all the newest sensor equipment, and then the price to use them is very high? Or do they cut corners in some places in order to make the rides cheaper yet profitable? The STS section of this thesis likely would not have come about had I not been on the specific teams I was on for the technical portion of the thesis. The fact that I was on the team for both the FAA drone regulations, the UTM system, and the craft sensors gave me a great sense of interest and insight into what makes these safe, and what makes them expensive. Had I been on the propulsion team for instance, the motors and propellers, though complex, are neither expensive nor likely to break. They are an integral part of the craft, however doing research into them would not have led me to think as much about the STS merits of UAM outside of perhaps noise issues. For the technical report, my team designed a fully autonomous UAS that we called the Corvus drone. The UAS is a fully electric, vertical takeoff and landing, dual tilt-wing canard. The drone cruises at 70 miles per hour, has a 30-mile range, and is a little over 100 pounds when loaded with the package. We designed this drone with the specific purpose of getting from the takeoff location to the delivery location and back as fast as possible using as little energy as possible, and within the rules of the competition. The final criterion was part of the inspiration for the dual tilt-wing idea. We knew we wanted to use VTOL because NASA required we reach 500 ft within a mile of takeoff, however for a 10-mile journey, we knew we wanted wings in order to fly as efficiently as possible. The STS paper argues that industry attempting to move forward with their UAM plans are not giving consumers enough information, considering how far along they claim to be. Companies like Uber claim that in the next five years, they will be building skyports and even offering service in major cities like Los Angeles. On their website they claim that the skyports will take up an acre or two and will handle over 1000 flights a day, but that they will not be noisy or disrup","url":"https://doi.org/10.18130/v3-bhex-fq33","authors":["JD Parker"],"tags":["UAS","UAM","Drone Delivery","Aerospace Engineering","FOS: Mechanical engineering","SCOT"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2020","doi":"10.18130/v3-bhex-fq33","addedAt":"2026-08-31T06:39:37.915Z","updatedAt":"2026-08-31T06:39:37.915Z"},{"id":"doi:10.5281/zenodo.7090123","name":"Urban Air Mobility: Safety Aspects for a New Era of Sustainable Aviation","source":"datacite","abstract":"Urban Air Mobility is at the juncture where the ever growing societal need for efficient and sustainable transport meets new solutions provided by emerging technology. The lecture provides the rationale for this new and sustainable way of flying in cities and beyond. It describes the state of the art, and in particular Airbus’ positioning with CityAirbus NextGen. In that sense, UAM is much broader than just a flying vehicle. It requires infrastructure on the round, an adapted airspace management, and an efficient integration with complementary means of transport. Furthermore, the introduction of a new means of transport requires that highest safety standards are met. The new eVTOL architectures and mission profiles call for new approaches to safety of the vehicles in their operational environment. Therefore, the second part of the lecture provides an overview on Airbus’ approach to safety and particular aspects concerning the distributed electric propulsion system, flight controls and aerostructures.","url":"https://doi.org/10.5281/zenodo.7090123","authors":["Müller, Jörg P."],"tags":["UAM","mobility","aircraft","aviation","Airbus","city","CityAirbus","demonstrator"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2022","doi":"10.5281/zenodo.7090123","addedAt":"2026-08-31T06:39:37.915Z","updatedAt":"2026-08-31T06:39:37.915Z"},{"id":"doi:10.5281/zenodo.7090124","name":"Urban Air Mobility: Safety Aspects for a New Era of Sustainable Aviation","source":"datacite","abstract":"Urban Air Mobility is at the juncture where the ever growing societal need for efficient and sustainable transport meets new solutions provided by emerging technology. The lecture provides the rationale for this new and sustainable way of flying in cities and beyond. It describes the state of the art, and in particular Airbus’ positioning with CityAirbus NextGen. In that sense, UAM is much broader than just a flying vehicle. It requires infrastructure on the round, an adapted airspace management, and an efficient integration with complementary means of transport. Furthermore, the introduction of a new means of transport requires that highest safety standards are met. The new eVTOL architectures and mission profiles call for new approaches to safety of the vehicles in their operational environment. Therefore, the second part of the lecture provides an overview on Airbus’ approach to safety and particular aspects concerning the distributed electric propulsion system, flight controls and aerostructures.","url":"https://doi.org/10.5281/zenodo.7090124","authors":["Müller, Jörg P."],"tags":["UAM","mobility","aircraft","aviation","Airbus","city","CityAirbus","demonstrator"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2022","doi":"10.5281/zenodo.7090124","addedAt":"2026-08-31T06:39:37.915Z","updatedAt":"2026-08-31T06:39:37.915Z"},{"id":"doi:10.13009/eucass2022-6094","name":"Dynamic Performance Analysis of Hybrid-Electric Propulsion Systems for an Urban Air Mobility","source":"datacite","abstract":"In the last two decades, Urban Air Mobility (UAM) has obtained a lot of interest because UAM can reduce travel time by expanding the operation path in three dimensions. According to the regulation about the emission of carbon dioxide,1 many aerospace companies and institutions have developed the full-electric UAM system to make a difference from conventional aircraft, which is used the Internal Combustion Engine (ICE). For example, Airbus Vahana, Ehang 184, Kitty Hawk Cora, Lilium Jet and Volocopter are a popular UAM that uses electricity as the power source.2 However, lithium-ion battery, mainly used as a source in the full-electric system, has low energy density and a long recharging time. This property makes it impossible for UAM to operate the long-endurance mission. Therefore, it is essential to use additional power sources such as gasoline,3 fuel cell,4 photovoltaic cell5 to solve this problem. In particular, the gasoline-battery type hybrid system is widely used because the response of fuel cell to the instant required power is slower than gasoline hybrid propulsion system6 and the photovoltaic cell can not produce enough power to sustain the UAM.7 The hybrid propulsion systems generally consist of motors, engines, generators, power management unit and battery. Although much literature about the design of the powertrain for UAM exists, choosing the appropriate component is still challenging because each property of component for UAM is unknown and unpredictable due to a shortage of commercial platforms and components. Furthermore, it is difficult to analyze how each component affects the entire hybrid system because hybrid parts are closely intertwined. Moreover, most hybrid system design scheme is based on the required power equation, not a dynamic simulation analysis. Osita N. Ugwueze was proposed the eVTOL design approach to estimate the initial motor.8 The sizing of the engine pack for a distributed series hybrid-electric propulsion system is addressed to choose the engine in five options.9 Jianan Zong was analyzed the maximum takeoff mass and fuel consumption of VTOL UAVs with different hybrid propulsion systems to meet the same performance requirements and designed mission profiles.10 Therefore, we propose the initial sizing method for each component and dynamic analysis framework based on mathematical modeling to check the feasibility of the designed hybrid propulsion system considering the transient response in the mission profile. First, the empty weight as a function of maximum take-off weight (MTOW) and each component weight as a function of required power is derived using the least square fitting method from the data. Second, the mathematical model and simplified data-based model for motor and electric signal controller are proposed to make the series and parallel hybrid-electric propulsion system model. Third, the carrot-chasing guidance law and feedback linearization controller is used to implement the simulation to consider the fuel mass reduction and transient required power in real-time. Finally, the state of charge (SOC) and the fuel mass, called a performance metric, are used to evaluate the validity of the hybrid-electric propulsion system through the integrated dynamic simulation.","url":"https://doi.org/10.13009/eucass2022-6094","authors":[" D. LEE ","  H. BANG "],"tags":["SYSTEM INTEGRATION","AERONAUTICS"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2022","doi":"10.13009/eucass2022-6094","addedAt":"2026-08-31T06:39:37.915Z","updatedAt":"2026-08-31T06:39:37.915Z"},{"id":"doi:10.25781/kaust-62a57","name":"Stochastic Geometry-Based Analysis of Aerial-Aided Vehicular Communications","source":"datacite","abstract":"Vehicular ad hoc networks (VANETs) will require improved communications, especially for critical scenarios. The improvement of these communications will be more crucial in dense urban environments where urban air mobility (UAM) is expected to witness significant growth during the next decade. We propose the use of networked tethered flying platforms (NTFPs) to enhance VANET communications. NTFPs are unmanned aerial platforms that are secured to the ground via a tether that supplies the platform with continuous power and data. To improve the spectral efficiency of communications, we implement non-orthogonal multiple access (NOMA) scheme. Additionally, to increase the bandwidth and data rates of communications, we use millimeter-wave (mmWave) frequencies. In UAM, NTFPs will coexist with other flying platforms, such as unmanned aerial vehicles (UAVs) and electric vertical takeoff and landing (eVTOL) aircraft. Hence, we study the performance of vehicular communications in the presence of interfering UAVs/eVTOLs and other road vehicles, and we compare the use of NTFPs with traditional terrestrial roadside units (RSUs).","url":"https://doi.org/10.25781/kaust-62a57","authors":["Abu Zaid, Abdullah"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2022","doi":"10.25781/kaust-62a57","addedAt":"2026-08-31T06:39:37.915Z","updatedAt":"2026-08-31T06:39:37.915Z"},{"id":"doi:10.48550/arxiv.2206.04513","name":"AAM-Gym: Artificial Intelligence Testbed for Advanced Air Mobility","source":"datacite","abstract":"We introduce AAM-Gym, a research and development testbed for Advanced Air Mobility (AAM). AAM has the potential to revolutionize travel by reducing ground traffic and emissions by leveraging new types of aircraft such as electric vertical take-off and landing (eVTOL) aircraft and new advanced artificial intelligence (AI) algorithms. Validation of AI algorithms require representative AAM scenarios, as well as a fast time simulation testbed to evaluate their performance. Until now, there has been no such testbed available for AAM to enable a common research platform for individuals in government, industry, or academia. MIT Lincoln Laboratory has developed AAM-Gym to address this gap by providing an ecosystem to develop, train, and validate new and established AI algorithms across a wide variety of AAM use-cases. In this paper, we use AAM-Gym to study the performance of two reinforcement learning algorithms on an AAM use-case, separation assurance in AAM corridors. The performance of the two algorithms is demonstrated based on a series of metrics provided by AAM-Gym, showing the testbed's utility to AAM research.","url":"https://doi.org/10.48550/arxiv.2206.04513","authors":["Brittain, Marc","Alvarez, Luis E.","Breeden, Kara","Jessen, Ian"],"tags":["Artificial Intelligence (cs.AI)","Signal Processing (eess.SP)","FOS: Computer and information sciences","FOS: Computer and information sciences","FOS: Electrical engineering, electronic engineering, information engineering","FOS: Electrical engineering, electronic engineering, information engineering"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2022","doi":"10.48550/arxiv.2206.04513","addedAt":"2026-08-31T06:39:37.915Z","updatedAt":"2026-08-31T06:39:37.915Z"},{"id":"doi:10.48550/arxiv.2205.10997","name":"Data-Efficient Modeling for Precise Power Consumption Estimation of Quadrotor Operations Using Ensemble Learning","source":"datacite","abstract":"Electric Take-Off and Landing (eVTOL) aircraft is considered as the major aircraft type in the emerging urban air mobility. Accurate power consumption estimation is crucial to eVTOL, supporting advanced power management strategies and improving the efficiency and safety performance of flight operations. In this study, a framework for power consumption modeling of eVTOL aircraft was established. We employed an ensemble learning method, namely stacking, to develop a data-driven model using flight records of three different types of quadrotors. Random forest and extreme gradient boosting, showing advantages in prediction, were chosen as base-models, and a linear regression model was used as the meta-model. The established stacking model can accurately estimate the power of a quadrotor. Error analysis shows that about 80% prediction errors fall within one standard deviation interval and less than 0.5% error in the prediction for an entire flight can be expected with a confidence of more than 80%. Our model outperforms the existing models in two aspects: firstly, our model has a better prediction performance, and secondly, our model is more data-efficient, requiring a much smaller dataset. Our model provides a powerful tool for operators of eVTOL aircraft in mission management and contributes to promoting safe and energy-efficient urban air traffic.","url":"https://doi.org/10.48550/arxiv.2205.10997","authors":["Dai, Wei","Zhang, Mingcheng","Low, Kin Huat"],"tags":["Machine Learning (cs.LG)","Artificial Intelligence (cs.AI)","FOS: Computer and information sciences","FOS: Computer and information sciences"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2022","doi":"10.48550/arxiv.2205.10997","addedAt":"2026-08-31T06:39:37.915Z","updatedAt":"2026-08-31T06:39:37.915Z"},{"id":"doi:10.26303/z477-ft72","name":"Rotor-wing interaction investigation","source":"datacite","abstract":"Urban Air Mobility (UAM) is an emerging concept of on-demand transportation. UAM vehicles flies in cities and regions. Among the eVTOL vehicle designs to meet UAM mission and requirements, tiltrotor configuration is most popular. In this configuration, rotor thrust increases when rotor wake impinges on the wing in hover; however, the penalty is download force on the wing, which reduces the payload capacity that the vehicle can carry. This investigation is to validate the feasibility of boundary-layer suction/blowing technique in download force reduction. If it is feasible, a new aircraft configuration could be developed.","url":"https://doi.org/10.26303/z477-ft72","authors":["Mingtai Chen"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2022","doi":"10.26303/z477-ft72","addedAt":"2026-08-31T06:39:37.915Z","updatedAt":"2026-08-31T06:39:37.915Z"},{"id":"doi:10.48550/arxiv.1905.01303","name":"Autonomous Air Traffic Controller: A Deep Multi-Agent Reinforcement Learning Approach","source":"datacite","abstract":"Air traffic control is a real-time safety-critical decision making process in highly dynamic and stochastic environments. In today's aviation practice, a human air traffic controller monitors and directs many aircraft flying through its designated airspace sector. With the fast growing air traffic complexity in traditional (commercial airliners) and low-altitude (drones and eVTOL aircraft) airspace, an autonomous air traffic control system is needed to accommodate high density air traffic and ensure safe separation between aircraft. We propose a deep multi-agent reinforcement learning framework that is able to identify and resolve conflicts between aircraft in a high-density, stochastic, and dynamic en-route sector with multiple intersections and merging points. The proposed framework utilizes an actor-critic model, A2C that incorporates the loss function from Proximal Policy Optimization (PPO) to help stabilize the learning process. In addition we use a centralized learning, decentralized execution scheme where one neural network is learned and shared by all agents in the environment. We show that our framework is both scalable and efficient for large number of incoming aircraft to achieve extremely high traffic throughput with safety guarantee. We evaluate our model via extensive simulations in the BlueSky environment. Results show that our framework is able to resolve 99.97% and 100% of all conflicts both at intersections and merging points, respectively, in extreme high-density air traffic scenarios.","url":"https://doi.org/10.48550/arxiv.1905.01303","authors":["Brittain, Marc","Wei, Peng"],"tags":["Machine Learning (cs.LG)","Artificial Intelligence (cs.AI)","Multiagent Systems (cs.MA)","Machine Learning (stat.ML)","FOS: Computer and information sciences","FOS: Computer and information sciences"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2019","doi":"10.48550/arxiv.1905.01303","addedAt":"2026-08-31T06:39:37.915Z","updatedAt":"2026-08-31T06:39:37.915Z"},{"id":"doi:10.48550/arxiv.2008.01527","name":"Universal Battery Performance and Degradation Model for Electric Aircraft","source":"openalex","abstract":"Development of Urban Air Mobility (UAM) concepts has been primarily focused on electric vertical takeoff and landing aircraft (eVTOLs), small aircraft which can land and takeoff vertically, and which are powered by rechargeable (typically lithium-ion) batteries. Design, analysis, and operation of eVTOLs requires fast and accurate prediction of Li-ion battery performance throughout the lifetime of the battery. eVTOL battery performance modeling must be particularly accurate at high discharge rates to ensure accurate simulation of the high power takeoff and landing portions of the flight. In this work, we generate a battery performance and thermal behavior dataset specific to eVTOL duty cycles. We use this dataset to develop a battery performance and degradation model (Cellfit) which employs physics-informed machine learning in the form of Universal Ordinary Differential Equations (U-ODE's) combined with an electrochemical cell model and degradation models which include solid electrolyte interphase (SEI) growth, lithium plating, and charge loss. We show that Cellfit with U-ODE's is better able to predict battery degradation than a mechanistic battery degradation model. We show that the improved accuracy of the degradation model improves the accuracy of the performance model. We believe that Cellfit will prove to be a valuable tool for eVTOL designers.","url":"https://doi.org/10.48550/arxiv.2008.01527","authors":["Bills, Alexander","Sripad, Shashank","Fredericks, William L.","Guttenberg, Matthew","Charles, Devin","Frank, Evan","Viswanathan, Venkatasubramanian","Alexander Bills","Shashank Sripad","William Leif Fredericks","Matthew Guttenberg","Devin Charles"],"tags":["Applied Physics (physics.app-ph)","Machine Learning (cs.LG)","FOS: Physical sciences","FOS: Computer and information sciences","Battery (electricity)","Takeoff","Takeoff and landing","Degradation (telecommunications)","Automotive engineering"],"confidence":0.72,"sites":["low-altitude"],"publishedDate":"2020","doi":"10.48550/arxiv.2008.01527","addedAt":"2026-08-31T06:39:37.915Z","updatedAt":"2026-08-31T14:45:35.251Z"},{"id":"doi:10.48550/arxiv.2008.00112","name":"Kinetics of lithium electrodeposition and stripping","source":"datacite","abstract":"Electrodeposition and stripping are fundamental electrochemical processes for metals and have gained importance in rechargeable Li-ion batteries due to lithium metal electrodes. The electrode kinetics associated with lithium metal electrodeposition and stripping is crucial in determining performance at fast discharge and charge which is important for electric vertical take-off and landing (eVTOL) aircraft and electric vehicles (EV). In this work, we show the use of Marcus-Hush-Chidsey (MHC) kinetics to accurately predict the Tafel curve data from the work of Boyle et al. We discuss the differences in predictions of reorganization energies from the Marcus-Hush and the MHC models for lithium metal electrodes in four solvents. The MHC kinetic model is implemented and open-sourced within Cantera. Using the reaction kinetic model in a pseudo-2D battery model with a lithium anode paired with a LiFePO$_4$ cathode, we show the importance of accounting for the MHC kinetics and compare it to the use of Butler-Volmer (BV) and Marcus-Hush kinetic models. We find that significant deviation in the overpotentials associated with reaction kinetics for the two different rate laws for conditions of fast discharge and charge relevant for eVTOL and EV respectively.","url":"https://doi.org/10.48550/arxiv.2008.00112","authors":["Sripad, Shashank","Korff, Daniel","DeCaluwe, Steven C.","Viswanathan, Venkatasubramanian"],"tags":["Chemical Physics (physics.chem-ph)","Materials Science (cond-mat.mtrl-sci)","FOS: Physical sciences","FOS: Physical sciences"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2020","doi":"10.48550/arxiv.2008.00112","addedAt":"2026-08-31T06:39:37.915Z","updatedAt":"2026-08-31T06:39:37.915Z"},{"id":"doi:10.48550/arxiv.2111.05413","name":"A Framework for eVTOL Performance Evaluation in Urban Air Mobility Realm","source":"openalex","abstract":"In this paper, we developed a generalized simulation framework for the evaluation of electric vertical takeoff and landing vehicles (eVTOLs) in the context of Unmanned Aircraft Systems (UAS) Traffic Management (UTM) and under the concept of Urban Air Mobility (UAM). Unlike most existing studies, the proposed framework combines the utilization of UTM and eVTOLs to develop a realistic UAM testing platform. For this purpose, we first enhanced an existing UTM simulator to simulate the real-world UAM environment. Then, instead of using a simplified eVOTL model, a realistic eVTOL design tool, namely SUAVE, is employed and an dilation sub-module is introduced to bridge the gap between the UTM simulator and SUAVE eVTOL performance evaluation tool to elaborate the complete mission profile. Based on the developed simulation framework, experiments are conducted and the results are presented to analyze the performance of eVTOLs in the UAM environment.","url":"https://doi.org/10.48550/arxiv.2111.05413","authors":["Sarkar, Mrinmoy","Yan, Xuyang","Girma, Abenezer","Homaifar, Abdollah","Mrinmoy Sarkar","Xuyang Yan","Abenezer Girma","Abdollah Homaifar"],"tags":["Robotics (cs.RO)","FOS: Computer and information sciences","Takeoff","Bridge (graph theory)","Computer science","Simulation","Context (archaeology)"],"confidence":0.72,"sites":["low-altitude"],"publishedDate":"2021","doi":"10.48550/arxiv.2111.05413","addedAt":"2026-08-31T06:39:37.915Z","updatedAt":"2026-08-31T14:45:35.251Z"},{"id":"doi:10.25777/mh0a-e343","name":"Empirical Modeling of Tilt-Rotor Aerodynamic Performance","source":"datacite","abstract":"There has been increasing interest into the performance of electric vertical takeoff and landing (eVTOL) aircraft. The propellers used for the eVTOL propulsion systems experience a broad range of aerodynamic conditions, not typically experienced by propellers in forward flight, that includes large incidence angles relative to the oncoming airflow. Formal experiment design and analysis techniques featuring response surface methods were applied to a subscale, tilt-rotor wind tunnel test for three, four, five, and six blade, 16-inch diameter, propeller configurations in support of development of the NASA LA-8 aircraft. Investigation of low-speed performance included a maximum speed of 12 m/s and a maximum RPM of 6800 tested over a range of incidence angles from 0° to 100°. High-speed testing achieved a maximum speed of 30 m/s and maximum RPM of 6000 while incidence angle was varied from 0° to 20°. Results were compared for each propeller configuration using nondimensional aerodynamic coefficients, including performance of off-axis forces and moments. The outcome of this research describes important behavior of propellers operating in conditions experienced by eVTOL vehicles as well as provides a general testing approach to performance characterization that includes empirical model building with uncertainty estimates.","url":"https://doi.org/10.25777/mh0a-e343","authors":["Stratton, Michael C."],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2021","doi":"10.25777/mh0a-e343","addedAt":"2026-08-31T06:39:37.915Z","updatedAt":"2026-08-31T06:39:37.915Z"},{"id":"doi:10.5281/zenodo.5575954","name":"Baseline Report - Multi-Disciplinary Design and Optimisation of a Long-Range eVTOL Aircraft","source":"datacite","abstract":"Baseline Report of the Design, Synthesis and Exercise (DSE) carried on during the Spring DSE 2021, group 06, assignment \"Multi-Disciplinary Design and Optimisation of a Long-Range eVTOL Aircraft\". Tutor: Saullo Giovani Pereira Castro Coaches: Davide Biagini and Ali Nokhbatolfoghahai Institution: Delft University of Technology Place: Faculty of Aerospace Engineering, Delft Submission Date: Thursday 6th May, 2021 Executive summary Around the world, many cities suffer from increasing traffic and congestion problems. Vertical takeoff and landing aircraft are a promising technology to alleviate this problem. Due to their ability to overfly obstacles, move independently of ground infrastructure and take off from anywhere, they could allow for very fast door-to-door transport. It is the aim of this DSE project to explore this market opportunity and design a VTOL aircraft that can carry four passengers over 300 km. Due to the growing relevance of sustainability in transport, the design space will be constrained to electric VTOLs (eVTOL). The mission need statement of the project is as follows: Provide sustainable, personal aerial transportation for intercity travel that is competitive with the current transportation methods while requiring minimal infrastructure. In the report at hand, several aspects of this mission are investigated in detail and the information is used to generate technical requirements. Finally, possible designs for the mission are identified and selected for further analysis. Chapter 2 outlines the functional analysis of all stages of the project. This is a crucial step in the design, since analysing the functions required by the design process and eVTOL provide a clear picture of the use case. On a high level, the functions were investigated in five phases: mission introduction, aircraft design, production and delivery of the aircraft, operation of the aircraft, and disposal of the aircraft. Aircraft operation is of the greatest interest to the customer, which is why it is analysed in greater detail than the others: the steps taken in preflight actions, take-off, cruise, extending the mission, landing and post-flight actions are broken down to up to four levels to capture detail. The result can be seen in the functional flow block diagram and functional breakdown structure. In Chapter 3, the market opportunities for a long-range eVTOL are explored. Among the possible target industries, the commercial transport and private sector were deemed the most promising. With its range of 300 km, the eVTOL could satisfy the needs of intracity travel, but most importantly be used for intercity travel as well. In Europe, 300 km is a typical distance to be covered by commuters and tourists in business and personal trips. It is in this market segment where a long-range eVTOL could hope to gain a lot of traction. Furthermore, it could be a comfortable personal mode of transport for higher income populations. Europe and the United States provide good conditions for this. Europe in particular is suitable since it has many major cities at small distances from each other. Based on previous studies, it was concluded that a market size of 15 billion US dollars could be achieved by 2040 for eVTOLs in the chosen market segment. This corresponds to annual sales of about 5000 units. The team could aim to partake in this with 205 eVTOL vehicles sold per year, priced at 1.53 million apiece. The direct competitors would be helicopters and other eVTOL projects. To inform the sustainable planning of the project, Chapter 4 lays out a literature review on the environmental and social sustainability of eVTOLs. It is found that eVTOLs produce less greenhouse gas emissions than conventional internal combustion engine cars for distances longer than 50 km. Larger distances allow the eVTOL to take advantage of the aerodynamically optimised cruise configuration. However, the sustainability of eVTOLs may be limited by their energy source. Especially Lit","url":"https://doi.org/10.5281/zenodo.5575954","authors":["Alba-Maestre, Javier","Beyne, Egon","Buszek, Michael","Cuadrat-Grzybowski, Miguel","López, Noah Salvador","Poliakov, Nikita","Prud'homme van Reine, Koen","Santamaría, Alejandro Montoya","Schoser, Jakob","Wadia, Kaizad"],"tags":["multidisciplinary design and optimization","electric aircraft","eVTOL","market analysis","aircraft design"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2021","doi":"10.5281/zenodo.5575954","addedAt":"2026-08-31T06:39:37.915Z","updatedAt":"2026-08-31T06:39:38.385Z"},{"id":"doi:10.25967/550236","name":"Assessment of the Handling Qualities of Multirotor Configurations using Real Time Simulation","source":"openalex","abstract":"The popularity of the electric vertical take-off and landing (eVTOL) aircraft in the Urban Air Mobility (UAM) market has significantly increased over the last decade. Many institutes and companies around the globe are conducting research in this field to translate the theory into practice by developing novel eVTOL configurations. At the German Aerospace Center, the Institute of Flight Systems has been developing processes not only to model novel configurations, but also to asses them qualitatively with real pilots. In this regard, a study concerning the Handling Qualities (HQs) assessments of a two passenger quadrotor configuration with variable blade pitch and variable rotor rotational speed control was conducted. The simulation tests were performed in DLR’s Air VEhicle Simulator (AVES), where the HQs were assessed through Mission Task Elements (MTEs) taken from ADS-33E-PRF. Results from the study showed critical HQs issues regarding the control sensitivity, vehicle stability and yaw bandwidth.","url":"https://doi.org/10.25967/550236","authors":["Atci, K.","Jones, M.","Jusko, T.","Kagan Atci","Michael Jones","Tim Jusko"],"tags":["Urban Air Mobility","eVTOL","Multirotor","Quadrotor","Flight Dynamics","Handling Qualities","Aerospace","Engineering","Aeronautics","Simulation"],"confidence":0.72,"sites":["low-altitude"],"publishedDate":"2021","doi":"10.25967/550236","addedAt":"2026-08-31T06:39:37.915Z","updatedAt":"2026-08-31T14:45:35.251Z"},{"id":"doi:10.5525/gla.thesis.82120","name":"Investigation of propeller stall flutter","source":"datacite","abstract":"Propeller flutter can manifest in a variety of ways. This includes classical bending-torsion flutter, stall flutter and whirl flutter. Classical bending-torsion flutter for propeller blades is driven by the coupling, and excitement, of selected modes of motion. Such flutter problems are often a result of structural coupling and in the linear aerodynamic regime. As a result, low-fidelity, fast calculations can be used to determine boundaries and mitigate the effects via changes in the structural design. Whirl flutter is the most complex and involves the coupling of the aircraft wing modes of motion to the gyroscopic and aerodynamic effects of the propeller. This phenomenon can be highly non-linear due to both the structure and flow-field, and any mitigation involves sophisticated modelling efforts with respect to the airframe. Propeller stall flutter is less complex in terms of the structure, however, involves the highly non-linear aerodynamics associated with detached flow. This phenomena, like classical flutter, is driven by the propeller design and conditions, but due to its nature, the stall flutter boundary significantly reduces the overall flutter boundary of a propeller. Hence, the understanding of this limitation must be known to ensure safe operation. The development of modern propeller blades utilising high sweep/taper with thin aerofoil sections can result in a change in the flutter boundary. In addition to this, propellers are coming back into focus due to the development of electrically driven Vertical Take-off/Landing (eVTOL) vehicles and, due to the nature of such a vehicle design, the propellers are being pushed into significantly different operating conditions. This motivation, coupled with the increased computational power available in the modern era, requires the need to reassess what is required to understand the stall flutter boundary associated with a modern, in-service, propeller blade. To this end, a numerical investigation using Computational Fluid Dynamics (CFD) and Computational Structural Dynamics (CSD) was conducted on the Commander propeller blade of Dowty Propellers. This blade was selected from the list of experimentally investigated blades due to the availability of geometry, structural data and applicability in real life applications. A validation procedure was conducted to assess the effects of the computational setup. This included the effects of turbulence, structural modelling and implementation, with a validated process found whilst using Scale-Adaptive-Simulation (SAS) with interpolated structural modes. An attempt was made to extract aerodynamic damping data of the stall flutter phenomenon via the development of a method from the aeroelastic simulations. Such values give an indication of the stability, with links made to typical two-dimensional modelling. The thesis ends on the parametric study of the validated Commander simulation. This was conducted in order to gain greater detail on the effects of key structural and aerodynamic parameters on the blade stall flutter response. The key outcome from this investigation is the need for scale-resolving methods in propeller stall flutter investigations. This study utilises a hybrid RANS/LES model to capture the key detached flow content. This detached flow content results in significant pressure fluctuations, not observed in traditional statistical models, which drive the aeroelastic deformations. In addition, the requirement for a well validated structural model is highlighted including the setup of the structural solver for which an interpolated modal response method is used. It is also found from this investigation that there is a need for a modern experimental test case focusing on propeller stall flutter. The last comprehensive study was conducted in the 1980’s and, with improvements in experimental techniques, greater understanding and data can now be extracted. This new data can be used to validate modern CFD efforts. The novelty of th","url":"https://doi.org/10.5525/gla.thesis.82120","authors":["Higgins, Ross John"],"tags":["Propeller, stall flutter, aeroelasticity, CFD."],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2021","doi":"10.5525/gla.thesis.82120","addedAt":"2026-08-31T06:39:37.915Z","updatedAt":"2026-08-31T06:39:37.915Z"},{"id":"doi:10.7907/51c6-aa57","name":"Intelligent Control for Fixed-Wing eVTOL Aircraft","source":"datacite","abstract":"Urban Air Mobility (UAM) holds promise for personal air transportation by deploying \"flying cars\" over cities. As such, fixed-wing electric vertical take-off and landing (eVTOL) aircraft has gained popularity as they can swiftly traverse cluttered areas, while also efficiently covering longer distances. These modes of operation call for an enhanced level of precision, safety, and intelligence for flight control. The hybrid nature of these aircraft poses a unique challenge that stems from complex aerodynamic interactions between wings, rotors, and the environment. Thus accurate estimation of external forces is indispensable for a high performance flight. However, traditional methods that stitch together different control schemes often fall short during hybrid flight modes. On the other hand, learning-based approaches circumvent modeling complexities, but they often lack theoretical guarantees for stability. In the first part of this thesis, we study the theoretical benefits of these fixed-wing eVTOL aircraft, followed by the derivation of a novel unified control framework. It consists of nonlinear position and attitude controllers using forces and moments as inputs; and control allocation modules that determine desired attitudes and thruster signals. Next, we present a composite adaptation scheme for linear-in-parameter (LiP) dynamics models, which provides accurate realtime estimation for wing and rotor forces based on measurements from a three-dimensional airflow sensor. Then, we introduce a design method to optimize multirotor configuration that ensures a property of robustness against rotor failures. In the second part of the thesis, we use deep neural networks (DNN) to learn part of unmodeled dynamics of the flight vehicles. Spectral normalization that regulates the Lipschitz constants of the neural network is applied for better generalization outside the training domain. The resultant network is utilized in a nonlinear feedback controller with a contraction mapping update, solving the nonaffine-in-control issue that arises. Next, we formulate general methods for designing and training DNN-based dynamics, controller, and observer. The general framework can theoretically handle any nonlinear dynamics with prior knowledge of its structure. Finally, we establish a delay compensation technique that transforms nominal controllers for an undelayed system into a sample-based predictive controller with numerical integration. The proposed method handles both first-order and transport delays in actuators and balances between numerical accuracy and computational efficiency to guarantee stability under strict hardware limitations.","url":"https://doi.org/10.7907/51c6-aa57","authors":["Shi, Xichen"],"tags":["VTOL","Robotics","Aircraft","Control","Space Engineering"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2021","doi":"10.7907/51c6-aa57","addedAt":"2026-08-31T06:39:37.915Z","updatedAt":"2026-08-31T06:39:37.915Z"},{"id":"doi:10.13016/ulnk-f0vk","name":"ROBUST CONTROL OF AN EVTOL THROUGH TRANSITION WITH A GAIN SCHEDULING LQR CONTROLLER","source":"datacite","abstract":"The advancements in electric motor propulsion and battery technologies have made the implementation of electric power in aerial transportation increasingly feasible. As such, the interest and development of electric vertical takeoff and landing (eVTOL) aircraft has become a greater portion of the market. This increase drives a need for research into control of the eVTOLs to ensure safe flight through the transition from hover to forward flight. This paper proposes a control strategy using the transition dynamics in a gain scheduling LQR attitude controller to robustly control the vehicle at any point throughout transition. The proposed control strategy is tested through implementation in nonlinear 3DOF and 6DOF simulations. The robustness of the controller is tested through simulating transition and virtual mission profiles.","url":"https://doi.org/10.13016/ulnk-f0vk","authors":["Thompson, Derek"],"tags":["Aerospace engineering","eVTOL","Gain Scheduling","LQR"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2020","doi":"10.13016/ulnk-f0vk","addedAt":"2026-08-31T06:39:37.915Z","updatedAt":"2026-08-31T06:39:37.915Z"},{"id":"doi:10.6084/m9.figshare.12135876.v1","name":"Multiobjective Time and Control Effort Optimization of the Takeoff and Transition of a Bi-wing Tailsitter","source":"datacite","abstract":"Electric vertical takeoff and landing (eVTOL) aircraft are being actively developed by manyindustry and government research groups. These vehicles take advantage of distributed electricpropulsion as well as aerodynamic lifting surfaces to take off vertically and perform long-duration flights. We develop a method to find optimal trajectories for takeoff and transitionto aerodynamic flight for a two dimensional blown bi-wing. This method uses the vortexlattice method to model arbitrary aerodynamic surfaces, and performs direct collocation tointegrate the system dynamics through the trajectory. We find trajectories using two objectives:minimum time and minimum control effort; and perform a multiobjective optimization to findthe Pareto front that illustrates the trade-off between these two objectives.","url":"https://doi.org/10.6084/m9.figshare.12135876.v1","authors":["Anderson, Ryan","Willis, Jacob B.","Johnson, Jacob"],"tags":["Aerospace Engineering","FOS: Mechanical engineering","FOS: Mechanical engineering","90104 Aircraft Performance and Flight Control Systems","91302 Automation and Control Engineering","FOS: Electrical engineering, electronic engineering, information engineering","FOS: Electrical engineering, electronic engineering, information engineering","91303 Autonomous Vehicles"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2020","doi":"10.6084/m9.figshare.12135876.v1","addedAt":"2026-08-31T06:39:37.915Z","updatedAt":"2026-08-31T06:39:37.915Z"},{"id":"doi:10.5281/zenodo.3754687","name":"Steady aerodynamic and aeroacoustic optimization of an eVTOL rotor","source":"datacite","abstract":"Urban air mobility is an exciting and impactful technology that has the potential to revolutionize modern transportation. To effectively design such aircraft, aeroacoustic and aerodynamic effects need to be considered together to ensure a robust design that is aerodynamically efficient and quiet. This work models an eVTOL rotor using blade element momentum theory and PSU-WOPWOP, a commercially available acoustics solver. Using these models, the rotor is optimized using surrogate models and a gradient-based optimization with aerodynamic and acoustic constraints. The optimization was able to reduce noise considerably with only a 0.3% decrease in propulsive efficiency.","url":"https://doi.org/10.5281/zenodo.3754687","authors":["Critchfield, Tyler"],"tags":["optimization","aerodynamics","aeroacoustics","surrogate modeling","rotor design"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2020","doi":"10.5281/zenodo.3754687","addedAt":"2026-08-31T06:39:37.915Z","updatedAt":"2026-08-31T06:39:37.915Z"},{"id":"doi:10.5281/zenodo.3754688","name":"Steady aerodynamic and aeroacoustic optimization of an eVTOL rotor","source":"datacite","abstract":"Urban air mobility is an exciting and impactful technology that has the potential to revolutionize modern transportation. To effectively design such aircraft, aeroacoustic and aerodynamic effects need to be considered together to ensure a robust design that is aerodynamically efficient and quiet. This work models an eVTOL rotor using blade element momentum theory and PSU-WOPWOP, a commercially available acoustics solver. Using these models, the rotor is optimized using surrogate models and a gradient-based optimization with aerodynamic and acoustic constraints. The optimization was able to reduce noise considerably with only a 0.3% decrease in propulsive efficiency.","url":"https://doi.org/10.5281/zenodo.3754688","authors":["Critchfield, Tyler"],"tags":["optimization","aerodynamics","aeroacoustics","surrogate modeling","rotor design"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2020","doi":"10.5281/zenodo.3754688","addedAt":"2026-08-31T06:39:37.915Z","updatedAt":"2026-08-31T06:39:37.915Z"},{"id":"doi:10.13009/eucass2019-137","name":"Modelling and Control of Transition Flight of an eVTOL Tandem Tilt-Wing Aircraft","source":"datacite","abstract":"The EOPA aircraft is a tandem tilt-wing design capable of vertical take-off and landing. Essential to its operation is the ability to transition from powered-lift to fixed-wing flight, and vice-versa. Control of the transition maneuver is achieved by designing a nominal transition trajectory and using a gain-scheduled LQR to realize closed-loop control. Controller robustness to wind gusts is investigated. Methods used for the dynamic and aerodynamic modelling are described. Simulation results demonstrate the feasibility of closed-loop control of the transition maneuvers but also reveal a susceptibility to wind gusts encountered during transition.","url":"https://doi.org/10.13009/eucass2019-137","authors":["SOBIESIAK, Ludwik A.","FORTIER-TOPPING, Hugo","BEAUDETTE, David","BOLDUC-TEASDALE, Francois","LAFONTAINE, Jean De","NAGATY, Amr","NEVEU, David","RANCOURT, David"],"tags":["AIRCRAFT","AUTOMATION","FLIGHT CONTROL","MODELLING"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2019","doi":"10.13009/eucass2019-137","addedAt":"2026-08-31T06:39:37.915Z","updatedAt":"2026-08-31T06:39:37.915Z"},{"id":"doi:10.13016/mbc5-oq8t","name":"Computational Aeroacoustics of Various Propeller Designs for eVTOL Applications","source":"openalex","abstract":"An in-house CFD solver, GPU-Accelerated Rotorcraft Flow-Field (GARFIELD), was coupled to an acoustic code for a computational aeroacoustic framework to an- alyze low aspect ratio propellers in hover such as those found on typical eVTOL aircraft. Various design parameters including twist, planform, number of blades, RPM, sweep, and disk loading were varied to evaluate their effect on aerodynamic performance as well as the overall average sound pressure level (OASPL) experienced by an observer. A nearby boom geometry was added to investigate the impact of the unsteady airloads on the aeroacoustic performance. Aerodynamic loads were also calculated by a BEMT analysis for comparison to the results predicted by CFD in GARFIELD. The main drivers to reduce the OASPL were found to be RPM and blade count. It was found that the boom geometry and all other design parameters for the propellers did not have a significant impact on the aeroacoustic performance.","url":"https://doi.org/10.13016/mbc5-oq8t","authors":["Passe, Bernadine","Bernadine Passe"],"tags":["Aerospace engineering","Computational aeroacoustics","Aeroacoustics","Propeller","Computer science"],"confidence":0.72,"sites":["low-altitude"],"publishedDate":"2019","doi":"10.13016/mbc5-oq8t","addedAt":"2026-08-31T06:39:37.915Z","updatedAt":"2026-08-31T14:45:35.251Z"},{"id":"doi:10.13016/s0i0-vcam","name":"An Experimental and Analytical Investigation of Hydrogen Fuel Cells for Electric Vertical Take-Off and Landing (eVTOL) Aircraft","source":"datacite","abstract":"The objective of this thesis is a comprehensive investigation of hydrogen fuel cells for electric vertical take-off and landing (eVTOL) aircraft. The primary drawback of battery powered eVTOL aircraft is their poor range and endurance with practical payloads. This work uses simulation and hardware testing to examine the potential of hydrogen fuel cells to overcome this drawback. The thesis develops steady state and transient models of fuel cells and batteries, and validates the models experimentally. An equivalent circuit network model was able to capture the waveforms and magnitudes of voltage as a function of current. Temperature and humidity corrections were also included. Examination of the results revealed that the transient behavior of batteries and fuel stacks are significant primarily shortly after startup of the fuel stack and at the limiting ranges of high and low power; for a nominal operating power and barring faults, steady state models were adequate. This work then demonstrates fuel cell and battery power sharing in regulated and unregulated parallel configurations. It details the development of a regulated architecture, which controls power sharing, to achieve a reduction in power plant weight. Finally, the thesis outlines weight models of motors, batteries, and fuel cells needed for eVTOL sizing, and carries out sizing analysis for on-demand urban air taxi missions of three different distances -- 50, 75, and 150~mi of cruise and 5~min total hover time. This revealed that for ranges within 75 mi, a light weight (5000-6000~lb gross weight) all-electric tilting proprotor configuration achieves a practical payload (500~lb or more) with current levels of battery specific energy (150~Wh/kg) if high burst C-rate batteries are available (4-10~C for 2.5~min). Either a battery-only or battery-fuel cell (B-FC) hybrid power plant is ideal depending on the range of the mission: For inter-city ranges (beyond approximately 50~mi), the mission is impossible with batteries alone, and fuel cells are a key enabling technology; a VTOL aircraft with a B-FC hybrid powerplant, an aircraft with 6200~lb gross take-off weight, 10~lb/ft$^2$ disk loading, and 10~C batteries, could be sized to carry a payload of 500~lb for a range of 75~mi. For this inter-city range, the research priority centers of fuel cells, as they appear to far surpass future projections of Li-ion battery energy levels based on performance numbers (at a component level), high weight fraction of hydrogen storage due to the short duration of eVTOL missions, and lack of a compressor due to low-altitude missions, with the added benefit of ease of re-fueling. However, for an intra-city mission (within approximately 50~mi), the B-FC combination provides no advantage over a battery-only powerplant; a VTOL aircraft with a battery-only powerplant with the same weight and disk loading as before, and 4~C batteries, can carry a payload of 800~lb for a range of 50~mi. For this mission range, improving battery energy density is the priority.","url":"https://doi.org/10.13016/s0i0-vcam","authors":["Ng, Wanyi"],"tags":["Aerospace engineering","Electrical engineering","Chemical engineering","FOS: Chemical engineering","Aviation","Battery","Electric","eVTOL"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2019","doi":"10.13016/s0i0-vcam","addedAt":"2026-08-31T06:39:37.915Z","updatedAt":"2026-08-31T06:39:37.915Z"},{"id":"doi:10.21203/rs.3.rs-9652880/v1","name":"Nonlinear Torque Compensation Based on Propeller Load Identification for eVTOL Electric Drivetrains","source":"crossref","abstract":"Abstract To address the slow dynamic response and excessive speed ripple of permanent magnet synchronous motor (PMSM) caused by the strong nonlinear coupling between propeller torque and speed in electric vertical take-off and landing (eVTOL) electric propulsion systems, this paper proposes an improved model reference adaptive system (IMRAS) incorporating state estimation error compensation and speed-dependent gain compensation. By introducing a state estimation error compensation, the estimation error of intermediate variables in the MRAS identification process is reduced, and the identification accuracy is improved. Meanwhile, a speed-dependent gain compensation is adopted to alleviate the degradation of identification accuracy resulting from the mismatch of gain coefficients under high-speed operating conditions. Finally, the identified propeller torque is used to feedforward to the input of the current loop to realize active compensation for the nonlinear propeller load. The experimental results demonstrate that the proposed method achieves a faster dynamic response and reduced speed tracking error over the full speed range, thereby significantly improving both transient performance and steady-state accuracy.","url":"https://doi.org/10.21203/rs.3.rs-9652880/v1","authors":["Dongliang Liu","Wenhao Fan","Weijie Lin","Haidong Chen","Lili Cui"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-06-11T05:44:16Z","doi":"10.21203/rs.3.rs-9652880/v1","addedAt":"2026-08-31T06:39:38.731Z","updatedAt":"2026-08-31T06:39:39.047Z"},{"id":"doi:10.1016/s1369-8869(00)00002-1","name":"Book review","source":"crossref","abstract":"","url":"https://doi.org/10.1016/s1369-8869(00)00002-1","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2002-07-26T02:38:44Z","doi":"10.1016/s1369-8869(00)00002-1","addedAt":"2026-08-31T06:39:38.731Z","updatedAt":"2026-08-31T06:39:38.731Z"},{"id":"doi:10.1016/s1369-8869(00)00003-3","name":"Book review","source":"crossref","abstract":"","url":"https://doi.org/10.1016/s1369-8869(00)00003-3","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2002-07-25T09:56:52Z","doi":"10.1016/s1369-8869(00)00003-3","addedAt":"2026-08-31T06:39:38.731Z","updatedAt":"2026-08-31T06:39:38.731Z"},{"id":"doi:10.5479/si.annalsflight.4","name":"Aircraft propulsion; a review of the evolution of aircraft piston engines","source":"crossref","abstract":"","url":"https://doi.org/10.5479/si.annalsflight.4","authors":["C. Fayette-Taylor"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2014-09-02T11:33:23Z","doi":"10.5479/si.annalsflight.4","addedAt":"2026-08-31T06:39:38.731Z","updatedAt":"2026-08-31T06:39:38.731Z"},{"id":"doi:10.1201/b12545-5","name":"A review of the aircraft noise problem","source":"crossref","abstract":"","url":"https://doi.org/10.1201/b12545-5","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2013-05-14T18:43:33Z","doi":"10.1201/b12545-5","addedAt":"2026-08-31T06:39:38.731Z","updatedAt":"2026-08-31T06:39:38.731Z"},{"id":"doi:10.5194/acp-2018-587-rc3","name":"Review of \"High-Arctic aircraft measurements\"","source":"crossref","abstract":"","url":"https://doi.org/10.5194/acp-2018-587-rc3","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2018-09-10T15:01:02Z","doi":"10.5194/acp-2018-587-rc3","addedAt":"2026-08-31T06:39:38.731Z","updatedAt":"2026-08-31T06:39:38.731Z"},{"id":"doi:10.2514/3.45592","name":"Review of unconventional aircraft design concepts","source":"crossref","abstract":"","url":"https://doi.org/10.2514/3.45592","authors":["Roy H. Lange"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2008-06-05T20:00:06Z","doi":"10.2514/3.45592","addedAt":"2026-08-31T06:39:38.731Z","updatedAt":"2026-08-31T06:39:38.731Z"},{"id":"doi:10.1016/j.eiar.2026.108635","name":"Life-cycle sustainability assessment of eVTOL propulsion pathways under multi-objective decision frameworks","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.eiar.2026.108635","authors":["Qianhang Sun","Qianwen Hao","Xue Lei","Shiyan Wang","Chengjiang Li","Xueguo Xu"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-07-31T06:36:33Z","doi":"10.1016/j.eiar.2026.108635","addedAt":"2026-08-31T06:39:38.731Z","updatedAt":"2026-08-31T06:39:38.731Z"},{"id":"doi:10.1201/b12545-2","name":"A review of the aircraft noiseproblem","source":"crossref","abstract":"","url":"https://doi.org/10.1201/b12545-2","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2013-05-14T18:43:33Z","doi":"10.1201/b12545-2","addedAt":"2026-08-31T06:39:38.731Z","updatedAt":"2026-08-31T06:39:38.731Z"},{"id":"doi:10.2514/3.45581","name":"Review of liquid-cooled aircraft engine installation aerodynamics","source":"crossref","abstract":"","url":"https://doi.org/10.2514/3.45581","authors":["S. J. Miley"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2008-06-05T19:59:46Z","doi":"10.2514/3.45581","addedAt":"2026-08-31T06:39:38.731Z","updatedAt":"2026-08-31T06:39:38.731Z"},{"id":"doi:10.2514/3.45298","name":"A review of computer simulations for aircraft-surface dynamics","source":"crossref","abstract":"","url":"https://doi.org/10.2514/3.45298","authors":["George R. Doyle"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2008-06-05T19:41:14Z","doi":"10.2514/3.45298","addedAt":"2026-08-31T06:39:38.731Z","updatedAt":"2026-08-31T06:39:38.731Z"},{"id":"doi:10.2514/3.44435","name":"Review of hammershock pressures in aircraft inlets","source":"crossref","abstract":"","url":"https://doi.org/10.2514/3.44435","authors":["Louis C. Young","Warren D. Beaulieu"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2008-06-05T18:51:47Z","doi":"10.2514/3.44435","addedAt":"2026-08-31T06:39:38.731Z","updatedAt":"2026-08-31T06:39:38.731Z"},{"id":"doi:10.1017/cbo9780511584527.010","name":"Review","source":"crossref","abstract":"","url":"https://doi.org/10.1017/cbo9780511584527.010","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2009-12-24T11:45:56Z","doi":"10.1017/cbo9780511584527.010","addedAt":"2026-08-31T06:39:38.731Z","updatedAt":"2026-08-31T06:39:38.731Z"},{"id":"doi:10.2514/6.2026-4654","name":"Design and Early Validation of a Single-Passenger eVTOL for Rapid Emergency Response","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2026-4654","authors":["Zachary Tremblay"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-06-04T17:45:42Z","doi":"10.2514/6.2026-4654","addedAt":"2026-08-31T06:39:39.046Z","updatedAt":"2026-08-31T06:39:39.325Z"},{"id":"doi:10.4050/sm_evtol_2026-5227","name":"TVF 2026 - eVTOL Pilot's Perspective - PIVOTAL","source":"crossref","abstract":"Anatomy of a HELIX Flight","url":"https://doi.org/10.4050/sm_evtol_2026-5227","authors":["Kristina Menton"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-07-20T20:08:58Z","doi":"10.4050/sm_evtol_2026-5227","addedAt":"2026-08-31T06:39:39.046Z","updatedAt":"2026-08-31T06:39:39.046Z"},{"id":"doi:10.2514/6.2026-4139","name":"Structural Dynamic Analysis in eVTOL Power Distribution Units","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2026-4139","authors":["Cesar A. Melo","Angelo A. Verri"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-06-04T17:45:42Z","doi":"10.2514/6.2026-4139","addedAt":"2026-08-31T06:39:39.046Z","updatedAt":"2026-08-31T06:39:39.325Z"},{"id":"doi:10.1109/aero66936.2026.11520154","name":"Enabling Autonomous eVTOL Communications: Challenges, Solutions, and Future Directions","source":"crossref","abstract":"","url":"https://doi.org/10.1109/aero66936.2026.11520154","authors":["Bing Mak","Ishan Aryendu","Ying Wang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-05-22T19:33:47Z","doi":"10.1109/aero66936.2026.11520154","addedAt":"2026-08-31T06:39:39.046Z","updatedAt":"2026-08-31T06:39:39.325Z"},{"id":"doi:10.1142/9789819823468_0009","name":"eVTOL","source":"crossref","abstract":"","url":"https://doi.org/10.1142/9789819823468_0009","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-03-13T02:27:18Z","doi":"10.1142/9789819823468_0009","addedAt":"2026-08-31T06:39:39.046Z","updatedAt":"2026-08-31T06:39:39.325Z"},{"id":"doi:10.4050/sm_evtol_2026-5226","name":"TVF 2026 - eVTOL Pilot's Perspective - Joby Aviation","source":"crossref","abstract":"eVTOL Pilot Perspectives, UAM, Challenges of Past V/STOL Aircraft, Modeling and Testing of Complexities Turning Unknowns into Knowns.","url":"https://doi.org/10.4050/sm_evtol_2026-5226","authors":["James Denham"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-07-20T20:08:58Z","doi":"10.4050/sm_evtol_2026-5226","addedAt":"2026-08-31T06:39:39.046Z","updatedAt":"2026-08-31T06:39:39.046Z"},{"id":"doi:10.2514/6.2026-1770","name":"Effect of Navigation and Trajectories on eVTOL Flight Energy and Performance","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2026-1770","authors":["Nirmit Prabhakar","Francesco Salucci","Dominik Karbowski"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-01-29T10:19:56Z","doi":"10.2514/6.2026-1770","addedAt":"2026-08-31T06:39:39.046Z","updatedAt":"2026-08-31T06:39:39.046Z"},{"id":"doi:10.4050/sm_evtol_2026-5252","name":"TVF 2026 - Cargo eVTOL: Briefing by Elroy Air","source":"crossref","abstract":"Presentation on Cargo eVTOL by Elroy Air","url":"https://doi.org/10.4050/sm_evtol_2026-5252","authors":["Andrew Clare"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-07-20T20:08:58Z","doi":"10.4050/sm_evtol_2026-5252","addedAt":"2026-08-31T06:39:39.046Z","updatedAt":"2026-08-31T06:39:39.046Z"},{"id":"doi:10.2514/6.2026-2366","name":"Synergistic Skies: Distributed Optimization for eVTOL Dispatching and Charging in Advanced Air Mobility","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2026-2366","authors":["Natnael M. Negash","Liang Sun"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-02-03T07:51:02Z","doi":"10.2514/6.2026-2366","addedAt":"2026-08-31T06:39:39.046Z","updatedAt":"2026-08-31T06:39:39.046Z"},{"id":"doi:10.4050/sm_evtol_2026-5235","name":"TVF 2026 - eVTOL Progress : Towards Enabling Adoption at Scale by Pivotal","source":"crossref","abstract":"Towards Enabling Adoption at Scale","url":"https://doi.org/10.4050/sm_evtol_2026-5235","authors":["Ken Karklin"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-07-20T20:08:58Z","doi":"10.4050/sm_evtol_2026-5235","addedAt":"2026-08-31T06:39:39.046Z","updatedAt":"2026-08-31T14:45:35.252Z"},{"id":"doi:10.4050/sm_evtol_2026-5234","name":"TVF 2026 - eVTOL Progress : From Test Flights to Revenue by AIR EV","source":"crossref","abstract":"From Test Flights to Revenue","url":"https://doi.org/10.4050/sm_evtol_2026-5234","authors":["Chen Rosen"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-07-20T20:08:58Z","doi":"10.4050/sm_evtol_2026-5234","addedAt":"2026-08-31T06:39:39.046Z","updatedAt":"2026-08-31T14:45:35.252Z"},{"id":"doi:10.2139/ssrn.6265291","name":"Mission and Phase Feature Learning for eVTOL Li-ion Battery,Prognostics with Machine Learning Algorithms","source":"crossref","abstract":"Electric vertical take-off and landing (eVTOL) aircraft missions impose phase-structured, high C-rate duty cycles that challenge conventional battery health estimation. We present a mission-phase aware prognosis method that jointly estimates state of charge (SOC), state of health (SOH), and remaining useful life (RUL). Our approach leverages a temporal fusion transformer (TFT) for multi-horizon forecasting and an attention-gated LSTM with a mixture-of-experts (MoE) to specialize in different operational regimes. Evaluation under Leave-One-Cell-Out (LOCO) cross validation protocol on a 22-cell dataset, our methods demonstrated exceptional performance. The proposed TFT and Attention-LSTM-MoE algorithms achieved an approximate mean absolute error of 4.0 and 4.6 missions in RUL prediction at each end-of-life threshold settings of state of health respectively, significantly outperforming strong tree-based (e.g., XGBoost, LightGBM) and sequential (e.g., GRU, TCN) algorithms. To enforce physical realism, we implemented two constraints: (i) a soft monotonic penalty on mission-level RUL and (ii) a post-hoc isotonic calibration across SOH end-of-life (EOL) thresholds. This calibration successfully reduced physical constraint violations from 84.3% to 0.0% across all predictions. This study offers a pragmatic path to reliable, real-time eVTOL battery prognostics that respects mission physics without requiring explicit first principles models. All our code and project materials are open source available at https://github.com/MusaWiston/Mission-Phase-Feature-Learning-for-eVTOL-Battery-Prognostics-with-ML,K","url":"https://doi.org/10.2139/ssrn.6265291","authors":["SU Yan","Musa Wiston"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-02-18T23:38:56Z","doi":"10.2139/ssrn.6265291","addedAt":"2026-08-31T06:39:39.046Z","updatedAt":"2026-08-31T06:39:39.325Z"},{"id":"doi:10.2514/6.2026-2366.c1","name":"Correction: Synergistic Skies: Distributed Optimization for eVTOL Dispatching and Charging in Advanced Air Mobility","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2026-2366.c1","authors":["Natnael M. Negash","Liang Sun"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-02-13T15:05:32Z","doi":"10.2514/6.2026-2366.c1","addedAt":"2026-08-31T06:39:39.046Z","updatedAt":"2026-08-31T06:39:39.046Z"},{"id":"doi:10.2514/6.2026-0663","name":"Multidisciplinary Optimization of Propeller Design for eVTOL Vehicles Using CHARM and Genetic Algorithms","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2026-0663","authors":["Nathaniel Rong","Subodh Bhandari","Tristan M. Sherman"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-01-29T07:09:51Z","doi":"10.2514/6.2026-0663","addedAt":"2026-08-31T06:39:39.046Z","updatedAt":"2026-08-31T06:39:39.046Z"},{"id":"doi:10.2514/6.2026-4574","name":"Transformer-Guided Deep Reinforcement Learning for Optimal Takeoff Trajectory Design of an eVTOL Drone","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2026-4574","authors":["Nathan M. Roberts","Xiaosong Du"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-06-04T17:45:42Z","doi":"10.2514/6.2026-4574","addedAt":"2026-08-31T06:39:39.046Z","updatedAt":"2026-08-31T06:39:39.046Z"},{"id":"doi:10.2514/6.2026-3600","name":"An Application of Amiet’s Model for Turbulence Ingestion to eVTOL Propellers","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2026-3600","authors":["Adam A. Rozman","Andrea Piccolo","Sheryl M. Grace"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-05-20T18:06:58Z","doi":"10.2514/6.2026-3600","addedAt":"2026-08-31T06:39:39.046Z","updatedAt":"2026-08-31T06:39:39.046Z"},{"id":"doi:10.2514/6.2026-3508","name":"Design and Commissioning of an Aeroacoustic Test Rig for eVTOL Applications","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2026-3508","authors":["Aren Vardanyan","Andrea P. Bresciani","Julien Christophe","Christophe F. Schram"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-05-20T18:06:58Z","doi":"10.2514/6.2026-3508","addedAt":"2026-08-31T06:39:39.046Z","updatedAt":"2026-08-31T06:39:39.046Z"},{"id":"doi:10.2514/6.2026-4218","name":"Supervisory Control Architecture for Safe eVTOL Routing","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2026-4218","authors":["Carolina Rutili de Lima","Fernando J. O. Moreira","Marcos R. O. A. Maximo"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-06-04T17:45:42Z","doi":"10.2514/6.2026-4218","addedAt":"2026-08-31T06:39:39.047Z","updatedAt":"2026-08-31T14:45:35.252Z"},{"id":"doi:10.4050/sm_evtol_2026-5232","name":"TVF 2026 - eVTOL Progress : Five Predictions for the AAM Industry - SMG Consulting","source":"crossref","abstract":"Five Predictions for the AAM Industry","url":"https://doi.org/10.4050/sm_evtol_2026-5232","authors":["Sergio Cecutta"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-07-20T20:08:58Z","doi":"10.4050/sm_evtol_2026-5232","addedAt":"2026-08-31T06:39:39.047Z","updatedAt":"2026-08-31T14:45:35.252Z"},{"id":"doi:10.2514/6.2026-3470","name":"Efficiency–Noise Trade–Off of Downscaled eVTOL Tiltrotor: A Low–Fidelity Multi-Objective Optimisation Framework","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2026-3470","authors":["Tobias Lade","Sébastien Guérin"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-05-20T18:06:58Z","doi":"10.2514/6.2026-3470","addedAt":"2026-08-31T06:39:39.047Z","updatedAt":"2026-08-31T14:45:35.252Z"},{"id":"doi:10.2514/6.2026-4136","name":"Development of a Methodology for Tilt-Rotor eVTOL Design Using an Existing Preliminary Design Tool","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2026-4136","authors":["Pranav Zinjarde","Yehia Amer","Thomas Zill"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-06-04T17:45:42Z","doi":"10.2514/6.2026-4136","addedAt":"2026-08-31T06:39:39.047Z","updatedAt":"2026-08-31T14:45:35.252Z"},{"id":"doi:10.2514/6.2026-3251","name":"Mid-Fidelity Aerodynamic and Aeroacoustic Analysis of a Lift+Cruise eVTOL in Different Configurations","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2026-3251","authors":["Luca Abergo","Matteo Malavolti","Alberto Guardone","Alex Zanotti"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-05-20T18:06:58Z","doi":"10.2514/6.2026-3251","addedAt":"2026-08-31T06:39:39.047Z","updatedAt":"2026-08-31T14:45:35.252Z"},{"id":"doi:10.2514/6.2026-2800","name":"Evaluating eVTOL and Seaplane Integration in Intermodal Transport: An Inter-Modal, Multi-Stakeholder Simulation Study","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2026-2800","authors":["Nabih Naeem","Nazlican Cigal","Prajwal S. Prakasha"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-02-03T08:40:23Z","doi":"10.2514/6.2026-2800","addedAt":"2026-08-31T06:39:39.047Z","updatedAt":"2026-08-31T14:45:35.252Z"},{"id":"doi:10.2514/6.2026-0547","name":"Nonlinear Dynamics Inversion (NDI) Control For Electric Vertical Takeoff and Landing (eVTOL) Vehicles In Transition Flight","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2026-0547","authors":["Mohammadzaheed Elahi Kahooker","Hugh H. Liu"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-01-29T07:09:51Z","doi":"10.2514/6.2026-0547","addedAt":"2026-08-31T06:39:39.047Z","updatedAt":"2026-08-31T14:45:35.252Z"},{"id":"doi:10.2514/1.c038850","name":"Journal of Aircraft 2026 Editorial","source":"crossref","abstract":"","url":"https://doi.org/10.2514/1.c038850","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-02-17T17:19:56Z","doi":"10.2514/1.c038850","addedAt":"2026-08-31T06:39:39.047Z","updatedAt":"2026-08-31T06:39:39.047Z"},{"id":"doi:10.2139/ssrn.5866663","name":"The Altitude-Margin Problem in Electric Aviation: Why Hybrid Systems and Backup Propulsion Are Essential for Urban eVTOL Safety","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.5866663","authors":["Satoshi Kawauchi"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-01-12T16:15:51Z","doi":"10.2139/ssrn.5866663","addedAt":"2026-08-31T06:39:39.047Z","updatedAt":"2026-08-31T06:39:39.325Z"},{"id":"doi:10.2514/6.2026-4136.c1","name":"Correction: Development of a Methodology for Tilt-Rotor eVTOL Design Using an Existing Preliminary Design Tool","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2026-4136.c1","authors":["Pranav Zinjarde","Yehia Amer","Thomas Zill"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-07-02T21:53:57Z","doi":"10.2514/6.2026-4136.c1","addedAt":"2026-08-31T06:39:39.047Z","updatedAt":"2026-08-31T14:45:35.252Z"},{"id":"doi:10.1109/icipai70034.2026.11605624","name":"TASoH: An End-to-End TCN-Attention Framework for eVTOL Battery State-of-Health Estimation","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icipai70034.2026.11605624","authors":["Yufan Jin"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-07-21T19:06:37Z","doi":"10.1109/icipai70034.2026.11605624","addedAt":"2026-08-31T06:39:39.047Z","updatedAt":"2026-08-31T06:39:39.047Z"},{"id":"doi:10.2139/ssrn.7157988","name":"Assessment of Lithium-Ion Battery Degradation under eVTOL Duty Cycles for Second-Life Use","source":"crossref","abstract":"Electric vertical take-off and landing (eVTOL) aircraft expose lithium-ion batteries to highly transient and power-intensive mission profiles that accelerate battery degradation and complicate battery health assessment. This study uses the open Carnegie Mellon University (CMU) eVTOL battery dataset to analyze degradation behavior under aviation-relevant operating conditions with systematic variations in cruise duration, discharge power, charging protocol, and ambient temperature. The analysis first characterizes mean and cell-to-cell degradation trends, including capacity fade and resistance-related behavior, and then benchmarks multiple predictive models for state of health (SoH) estimation using trajectory-derived features and mission descriptors. The results show clear degradation heterogeneity across cells and indicate that model performance is influenced more strongly by model choice than by cell identity in the benchmarking stage. Cell-level extrapolation further reveals substantial variation in predicted degradation trajectories and threshold-crossing behavior. For remaining useful life (RUL) prediction, accuracy improves as a larger fraction of life-cycle history becomes available, with the mean absolute relative error decreasing from approximately 0.58 at an available data fraction of 0.30 to about 0.33 at 0.60. The distribution of relative errors remains predominantly conservative, while per-cell diagnostics confirm that the gain from additional historical data is not uniform across the cell population. Overall, the findings provide an experimentally grounded view of eVTOL battery degradation and highlight the importance of cell-level variability, data availability, and robust prognostic modeling when interpreting battery health for potential second-life screening and repurposing.","url":"https://doi.org/10.2139/ssrn.7157988","authors":["Krismadinata Krismadinata","Vignesh Srinivasan","Jeyraj Selvaraj","Dwi  Sudarno Putra"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-07-22T02:39:02Z","doi":"10.2139/ssrn.7157988","addedAt":"2026-08-31T06:39:39.047Z","updatedAt":"2026-08-31T06:39:39.325Z"},{"id":"doi:10.2514/6.2026-3249","name":"Aeroacoustic Investigation of an eVTOL Propeller-Wing Configuration in Yawed Flow","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2026-3249","authors":["Khaoula Qaissi","Mohamed Achraf Elgadi","Kangni Combey","Omer Elsayed"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-05-20T18:06:58Z","doi":"10.2514/6.2026-3249","addedAt":"2026-08-31T06:39:39.047Z","updatedAt":"2026-08-31T06:39:39.047Z"},{"id":"doi:10.2514/6.2026-3288","name":"Blade–Wake Interaction Noise Mechanisms Across eVTOL Flight Regimes","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2026-3288","authors":["Muhammad Rehan Naseer","Leone Trascinelli","Daniel Poole","Mahdi Azarpeyvand","Henrique Raposo","Craig Mead"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-05-20T18:06:58Z","doi":"10.2514/6.2026-3288","addedAt":"2026-08-31T06:39:39.047Z","updatedAt":"2026-08-31T06:39:39.047Z"},{"id":"doi:10.2514/6.2026-1558","name":"Flight-Validated Digital Filtering for Vibration Mitigation on a 250 kg eVTOL: An FFT-Guided Design Approach","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2026-1558","authors":["Jonathan Spraggett","Nima Pourmostaghimi","Younes Sadat-Nejad"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-01-29T10:19:56Z","doi":"10.2514/6.2026-1558","addedAt":"2026-08-31T06:39:39.047Z","updatedAt":"2026-08-31T06:39:39.047Z"},{"id":"doi:10.2514/6.2026-3370","name":"A Snap-Shot Spectral-POD Approach to Data Fusion for eVTOL Rotor Noise Estimation","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2026-3370","authors":["Charles E. Tinney","Yingjun Zhao-Dubuc","John Valdez"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-05-20T18:06:58Z","doi":"10.2514/6.2026-3370","addedAt":"2026-08-31T06:39:39.047Z","updatedAt":"2026-08-31T06:39:39.047Z"},{"id":"doi:10.2514/6.2026-3249.c1","name":"Correction: Aeroacoustic Investigation of an eVTOL Propeller-Wing Configuration in Yawed Flow","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2026-3249.c1","authors":["Khaoula Qaissi","Mohamed Achraf Elgadi","Kangni Combey","Omer Elsayed"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-06-24T19:19:01Z","doi":"10.2514/6.2026-3249.c1","addedAt":"2026-08-31T06:39:39.047Z","updatedAt":"2026-08-31T06:39:39.047Z"},{"id":"doi:10.1109/icecet65726.2026.11632437","name":"Pareto-Optimal Parametric Design Method for PMSM Applied to eVTOL UAV","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icecet65726.2026.11632437","authors":["Rodrigo Alcoberro","Sergio Gonzalez","Santiago Verne"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-08-12T19:12:17Z","doi":"10.1109/icecet65726.2026.11632437","addedAt":"2026-08-31T06:39:39.047Z","updatedAt":"2026-08-31T14:45:35.252Z"},{"id":"doi:10.2514/6.2026-4762","name":"URANS-Based Aerodynamic Assessment of a Ducted Fan in Hover for eVTOL Applications","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2026-4762","authors":["Markos P. Mumasha","Rafic M. Ajaj","Kamal Djidjeli","Mewael A. Abraham"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-06-04T17:45:42Z","doi":"10.2514/6.2026-4762","addedAt":"2026-08-31T06:39:39.047Z","updatedAt":"2026-08-31T06:39:39.047Z"},{"id":"doi:10.2514/6.2026-3515","name":"Aeroacoustics of a Scaled eVTOL Rotor Undergoing Harmonic Rotational Velocity Changes","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2026-3515","authors":["Yannick G. Chance","Lourenço T. Pereira","Riccardo Zamponi","Daniele Ragni"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-05-20T18:06:58Z","doi":"10.2514/6.2026-3515","addedAt":"2026-08-31T06:39:39.047Z","updatedAt":"2026-08-31T06:39:39.047Z"},{"id":"doi:10.1109/access.2026.3727667","name":"Maneuverability Simulations of a Turbulence-Resilient eVTOL Aerial Vehicle","source":"crossref","abstract":"","url":"https://doi.org/10.1109/access.2026.3727667","authors":["Chi-Hsien Chang","Jean-Fu Kiang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-08-27T19:13:50Z","doi":"10.1109/access.2026.3727667","addedAt":"2026-08-31T06:39:39.047Z","updatedAt":"2026-08-31T06:39:39.325Z"},{"id":"doi:10.2514/6.2026-3367","name":"Low-Fidelity Prediction of Performance and Acoustics of a 35% Scale Notional eVTOL Rotor in Hover","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2026-3367","authors":["Yingjun Zhao Dubuc","Charles E. Tinney"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-05-20T18:06:58Z","doi":"10.2514/6.2026-3367","addedAt":"2026-08-31T06:39:39.047Z","updatedAt":"2026-08-31T06:39:39.047Z"},{"id":"doi:10.1109/aeees69423.2026.11556544","name":"Solid-State Batteries for eVTOL Applications: Challenges, Progress, and Roadmap","source":"crossref","abstract":"","url":"https://doi.org/10.1109/aeees69423.2026.11556544","authors":["Rick Tiande Mo","Haydee Hong Zhao","Terry Tianchu Li"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-06-16T19:41:27Z","doi":"10.1109/aeees69423.2026.11556544","addedAt":"2026-08-31T06:39:39.047Z","updatedAt":"2026-08-31T14:45:35.252Z"},{"id":"doi:10.1109/ichms69701.2026.11602175","name":"A Framework on Human-Autonomy Unified Control and Strategies for eVTOL","source":"crossref","abstract":"","url":"https://doi.org/10.1109/ichms69701.2026.11602175","authors":["Nan Wang","Yuhan Li","Shuguang Zhang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-07-15T20:02:01Z","doi":"10.1109/ichms69701.2026.11602175","addedAt":"2026-08-31T06:39:39.047Z","updatedAt":"2026-08-31T14:45:35.252Z"},{"id":"doi:10.4050/sm_evtol_2026-5253","name":"TVF 2026 - Cargo eVTOL: Advancing Autonomous Heavy-Lift Cargo and ISR Operations with Jaunt's Hybrid-Electric UAV","source":"crossref","abstract":"TVF 2026 Briefing on Advancing Autonomous Heavy-Lift Cargo and ISR Operations with Jaunt's Hybrid-Electric UAV","url":"https://doi.org/10.4050/sm_evtol_2026-5253","authors":["Martin Peryea"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-07-20T20:08:58Z","doi":"10.4050/sm_evtol_2026-5253","addedAt":"2026-08-31T06:39:39.047Z","updatedAt":"2026-08-31T06:39:39.047Z"},{"id":"doi:10.2514/6.2026-3293","name":"Improving Accuracy of eVTOL Rotor Noise Predictions Using a Multi-Fidelity Simulation Framework","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2026-3293","authors":["DANIELLA Bezuidenhout","Vladimir V. Golubev","Michael Marques","Anastasios S. Lyrintzis"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-05-20T18:06:58Z","doi":"10.2514/6.2026-3293","addedAt":"2026-08-31T06:39:39.047Z","updatedAt":"2026-08-31T06:39:39.047Z"},{"id":"doi:10.4050/f-0082-2026-0317","name":"Interactional Aerodynamics of the ERC ROMEO eVTOL","source":"crossref","abstract":"The present study provides a detailed analysis of interactional aerodynamic effects present in the lift and cruise ROMEO demonstrator aircraft. A combination of high-fidelity unsteady Reynolds-averaged Navier-Stokes (URANS) simulations and mid-fidelity actuator disk and actuator line methods is applied to efficiently capture the dominant flow phenomena of a distributed electric propulsion configuration across multiple flight regimes. The mid-fidelity approaches are initially validated against fully-resolved propeller simulations to assess their accuracy and computational benefits. Subsequently, the influence of multi-propeller interactions on lifting arms and tail components is analyzed in hover, followed by an investigation of propeller-airframe interactions during forward and sideward hover maneuvers. A particular emphasis is placed on the modification of local inflow conditions and the subsequent distribution of loads. In the context of sideward flight, the present study explores the effects of asymmetric wake deflection on aerodynamic forces and moments. The findings indicate that propellers- airframe interactions exert a significant influence on aerodynamic performance, stability, and control behavior. This underscores the necessity for effective and precise modeling methodologies in the design of eVTOL systems.","url":"https://doi.org/10.4050/f-0082-2026-0317","authors":["Jonathan Pflüger","Alexander Wick","Marco Stuhlpfarrer","Jan-Arun Faust"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-06-10T23:06:42Z","doi":"10.4050/f-0082-2026-0317","addedAt":"2026-08-31T06:39:39.047Z","updatedAt":"2026-08-31T14:45:35.252Z"},{"id":"doi:10.2514/6.2026-3314","name":"Numerical Characterization of the In-Flight Noise Footprint for a Reference Multirotor Vectored-Thrust eVTOL","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2026-3314","authors":["Federico Di Verniere","Riccardo Zamponi","Daniele Ragni","Damiano Casalino"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-05-20T18:06:58Z","doi":"10.2514/6.2026-3314","addedAt":"2026-08-31T06:39:39.047Z","updatedAt":"2026-08-31T06:39:39.047Z"},{"id":"doi:10.2514/6.2026-3250","name":"Airframe-Rotor Installation Effects for a Realistic eVTOL Configuration","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2026-3250","authors":["Leone Trascinelli","Muhammad Rehan Naseer","Daniel J. Poole","Mahdi Azarpeyvand","Henrique Raposo","Craig Mead"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-05-20T18:06:58Z","doi":"10.2514/6.2026-3250","addedAt":"2026-08-31T06:39:39.047Z","updatedAt":"2026-08-31T06:39:39.047Z"},{"id":"doi:10.2139/ssrn.6485038","name":"Optimization of New Hybrid Power System Configuration and Power Distribution Range for eVTOL Based on OW-PMSG","source":"crossref","abstract":"The open winding permanent magnet synchronous generator (OW-PMSG) is expected to be applied in hybrid power systems for electric vertical takeoff and landing aircraft (eVTOL) due to its high power density and reliability. To improve the power to weight ratio of the system, this paper proposes a new hybrid power system configuration based on an open winding structure, which replaces the traditional DCDC configuration with an inverter. Furthermore, the power flow of the proposed configuration under different operating conditions was presented, and a power coordination algorithm for energy management was proposed. In addition, the power allocation range of the dual inverter determines the maximum power it can output. Existing research is limited to voltage vector allocation methods and has not explored current control strategies extensively. Therefore, this paper proposes the Power Allocation Range Optimization Algorithm (PAROA) and, taking into account system losses, further designs the Torque Switching Control Strategy (TSCS) to enable the dual inverter to output higher power. Finally, simulation experiments were designed to validate the proposed control strategy. The simulation results showed that when using the Fully Feasible Domain Allocation Algorithm (FFDAA) for voltage vector allocation, TSCS can achieve a wider range of load power following compared to traditional MTPA methods, thus better meeting the application requirements in high-power scenarios.","url":"https://doi.org/10.2139/ssrn.6485038","authors":["Xianglong Wang","Yue Ma","Jianzhen Qu"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-03-28T14:36:41Z","doi":"10.2139/ssrn.6485038","addedAt":"2026-08-31T06:39:39.047Z","updatedAt":"2026-08-31T06:39:39.047Z"},{"id":"doi:10.1109/iccms69991.2026.11642653","name":"Probabilistic MIMO Disk Margin Assessment of an eVTOL Controller Using Subset Simulation","source":"crossref","abstract":"","url":"https://doi.org/10.1109/iccms69991.2026.11642653","authors":["Zhidong Lu","Shuguang Zhang","Florian Holzapfel"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-08-13T19:18:09Z","doi":"10.1109/iccms69991.2026.11642653","addedAt":"2026-08-31T06:39:39.047Z","updatedAt":"2026-08-31T06:39:39.047Z"},{"id":"doi:10.2139/ssrn.6233019","name":"Hover-Informed Equivalent Lifting-Line Model for Predicting Aerodynamic Interference in eVTOL Multi-Rotor System","source":"crossref","abstract":"Aerodynamic interference among multiple rotors significantly affects the performance and efficiency of electric Vertical TakeOff and Landing (eVTOL) aircraft, particularly in complex configurations such as coaxial or tandem layouts. High-fidelity computational methods can accurately capture these interactions but are computationally expensive, while conventional analytical models often neglect hover and low-speed regimes, reducing prediction accuracy. To address these limitations, this paper develops a hover-informed equivalent lifting-line model that integrates experimental hover data with analytical expressions to predict rotor-rotor aerodynamic interference across the full flight envelope. The proposed method is evaluated against both tandem and coaxial rotor configurations, showing good agreement with experimental and computational results. Application to a coaxial octo-rotor eVTOL demonstrates that at hover and low speeds, the upper front rotor mainly interferes with its corresponding lower rotor and at low-to-medium speeds it primarily affects the rear rotors. Aerodynamic interaction also significantly alters the power&amp;nbsp;distribution of the rear rotors, causing an increase in power with forward speed under hover and low-speed conditions. The lower rear rotor experiences the strongest interference, contributes least to total thrust, and underperforms compared with the other rotors. These findings indicate that the hover-informed equivalent lifting-line model effectively captures rotor-rotor aerodynamic coupling across the full flight envelope and provides a computationally efficient tool for eVTOL design and optimization.","url":"https://doi.org/10.2139/ssrn.6233019","authors":["Honglei Ji","Wenjun Ji","Yeping Wang","Renliang Chen"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-04-01T11:56:59Z","doi":"10.2139/ssrn.6233019","addedAt":"2026-08-31T06:39:39.047Z","updatedAt":"2026-08-31T06:39:39.047Z"},{"id":"doi:10.1109/cieec69682.2026.11572477","name":"Condition-Aware Health Assessment Framework for eVTOL Energy Storage Systems under Varying Mission Conditions","source":"crossref","abstract":"","url":"https://doi.org/10.1109/cieec69682.2026.11572477","authors":["Chengzheng Lai","Zhangang Yang","Yanan Zhang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-06-30T20:25:22Z","doi":"10.1109/cieec69682.2026.11572477","addedAt":"2026-08-31T06:39:39.047Z","updatedAt":"2026-08-31T14:45:35.252Z"},{"id":"doi:10.54691/f3hcw203","name":"Blue Ocean Strategy of Dynamic Vacuum in the eVTOL Industry","source":"crossref","abstract":"This paper explores the application of vacuum technology as a blue ocean strategy within the emerging electric vertical take-off and landing (eVTOL) industry. The research begins by outlining the broad applications of vacuum science in traditional industrial sectors. It then focuses on the prospects and challenges of eVTOL aircraft, identified as a high-potential future market. The core analysis demonstrates how vacuum pumps are critical in key eVTOL manufacturing and testing processes, including the curing of carbon fiber reinforced polymer (CFRP) composites for lightweighting, simulation testing of battery thermal management systems (BTMS), and optimization of hydrogen fuel cell systems under low-pressure conditions. By applying the Blue Ocean Strategy framework—including the ERRC (Eliminate, Reduce, Raise, Create) Grid and the Six Paths Framework—the study argues that the eVTOL sector represents an uncontested market space for vacuum technology. The conclusion emphasizes that vacuum science, by enabling lightweight material production and system validation, is poised to be a key enabler for urban air mobility, especially within China's policy-supported low-altitude economy landscape. (Approximately 150 words)","url":"https://doi.org/10.54691/f3hcw203","authors":["Jiashu Hu"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-01-21T05:29:07Z","doi":"10.54691/f3hcw203","addedAt":"2026-08-31T06:39:39.047Z","updatedAt":"2026-08-31T06:39:39.047Z"},{"id":"doi:10.2514/1.42882","name":"AIAA Manuscript Review Process","source":"crossref","abstract":"","url":"https://doi.org/10.2514/1.42882","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2012-09-26T03:54:06Z","doi":"10.2514/1.42882","addedAt":"2026-08-31T06:39:39.325Z","updatedAt":"2026-08-31T06:39:39.325Z"},{"id":"doi:10.2514/1.15735","name":"AIAA Manuscript Review Process","source":"crossref","abstract":"","url":"https://doi.org/10.2514/1.15735","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2008-03-12T22:39:38Z","doi":"10.2514/1.15735","addedAt":"2026-08-31T06:39:39.325Z","updatedAt":"2026-08-31T06:39:39.325Z"},{"id":"doi:10.2514/5.9781600867538.0033.0070","name":"Review of Practical Aerodynamics","source":"crossref","abstract":"","url":"https://doi.org/10.2514/5.9781600867538.0033.0070","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2012-09-14T18:31:13Z","doi":"10.2514/5.9781600867538.0033.0070","addedAt":"2026-08-31T06:39:39.325Z","updatedAt":"2026-08-31T06:39:39.325Z"},{"id":"doi:10.2514/3.56906","name":"AIAA Manuscript Review Process","source":"crossref","abstract":"","url":"https://doi.org/10.2514/3.56906","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2008-06-06T11:54:46Z","doi":"10.2514/3.56906","addedAt":"2026-08-31T06:39:39.325Z","updatedAt":"2026-08-31T06:39:39.325Z"},{"id":"doi:10.2514/3.56874","name":"AIAA Manuscript Review Process","source":"crossref","abstract":"","url":"https://doi.org/10.2514/3.56874","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2008-06-06T11:52:33Z","doi":"10.2514/3.56874","addedAt":"2026-08-31T06:39:39.325Z","updatedAt":"2026-08-31T06:39:39.325Z"},{"id":"doi:10.2514/3.56813","name":"AIAA Manuscript Review Process","source":"crossref","abstract":"","url":"https://doi.org/10.2514/3.56813","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2008-06-06T11:48:08Z","doi":"10.2514/3.56813","addedAt":"2026-08-31T06:39:39.325Z","updatedAt":"2026-08-31T06:39:39.325Z"},{"id":"doi:10.2514/1.36472","name":"Review of Smoke Toxicity of Fiber-Polymer Composites  Used in Aircraft","source":"crossref","abstract":"","url":"https://doi.org/10.2514/1.36472","authors":["A. P. Mouritz"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2009-05-20T15:03:25Z","doi":"10.2514/1.36472","addedAt":"2026-08-31T06:39:39.325Z","updatedAt":"2026-08-31T06:39:39.325Z"},{"id":"doi:10.2514/1.53537","name":"AIAA Manuscript Review Process","source":"crossref","abstract":"","url":"https://doi.org/10.2514/1.53537","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2012-09-26T04:35:16Z","doi":"10.2514/1.53537","addedAt":"2026-08-31T06:39:39.325Z","updatedAt":"2026-08-31T06:39:39.325Z"},{"id":"doi:10.2514/1.29420","name":"AIAA Manuscript Review Process","source":"crossref","abstract":"","url":"https://doi.org/10.2514/1.29420","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2012-09-26T03:25:01Z","doi":"10.2514/1.29420","addedAt":"2026-08-31T06:39:39.325Z","updatedAt":"2026-08-31T06:39:39.325Z"},{"id":"doi:10.2514/1.10197","name":"AIAA Manuscript Review Process","source":"crossref","abstract":"","url":"https://doi.org/10.2514/1.10197","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2008-03-12T15:07:24Z","doi":"10.2514/1.10197","addedAt":"2026-08-31T06:39:39.325Z","updatedAt":"2026-08-31T06:39:39.325Z"},{"id":"doi:10.2514/3.56917","name":"AIAA Manuscript Review Process","source":"crossref","abstract":"","url":"https://doi.org/10.2514/3.56917","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2008-06-06T11:56:12Z","doi":"10.2514/3.56917","addedAt":"2026-08-31T06:39:39.325Z","updatedAt":"2026-08-31T06:39:39.325Z"},{"id":"doi:10.2514/1.48596","name":"AIAA Manuscript Review Process","source":"crossref","abstract":"","url":"https://doi.org/10.2514/1.48596","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2012-09-26T04:18:52Z","doi":"10.2514/1.48596","addedAt":"2026-08-31T06:39:39.325Z","updatedAt":"2026-08-31T06:39:39.325Z"},{"id":"doi:10.2514/2.2753","name":"AIAA Manuscript Review Process","source":"crossref","abstract":"","url":"https://doi.org/10.2514/2.2753","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2008-08-13T01:47:52Z","doi":"10.2514/2.2753","addedAt":"2026-08-31T06:39:39.325Z","updatedAt":"2026-08-31T06:39:39.325Z"},{"id":"doi:10.2514/1.22703","name":"AIAA Manuscript Review Process","source":"crossref","abstract":"","url":"https://doi.org/10.2514/1.22703","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2008-03-13T00:53:35Z","doi":"10.2514/1.22703","addedAt":"2026-08-31T06:39:39.325Z","updatedAt":"2026-08-31T06:39:39.325Z"},{"id":"doi:10.2514/3.56783","name":"AIAA Manuscript Review Process","source":"crossref","abstract":"","url":"https://doi.org/10.2514/3.56783","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2008-06-06T11:45:24Z","doi":"10.2514/3.56783","addedAt":"2026-08-31T06:39:39.325Z","updatedAt":"2026-08-31T06:39:39.325Z"},{"id":"doi:10.5772/37290","name":"Power Generation and Distribution System for a More Electric Aircraft - A Review","source":"crossref","abstract":"","url":"https://doi.org/10.5772/37290","authors":["Ahmed Abdel-Hafez"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2012-05-17T18:08:23Z","doi":"10.5772/37290","addedAt":"2026-08-31T06:39:39.325Z","updatedAt":"2026-08-31T06:39:39.325Z"},{"id":"doi:10.2514/3.56801","name":"AIAA Manuscript Review Process","source":"crossref","abstract":"","url":"https://doi.org/10.2514/3.56801","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2008-06-06T11:46:51Z","doi":"10.2514/3.56801","addedAt":"2026-08-31T06:39:39.325Z","updatedAt":"2026-08-31T06:39:39.325Z"},{"id":"doi:10.2514/2.2918","name":"AIAA Manuscript Review Process","source":"crossref","abstract":"","url":"https://doi.org/10.2514/2.2918","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2008-08-13T02:05:20Z","doi":"10.2514/2.2918","addedAt":"2026-08-31T06:39:39.325Z","updatedAt":"2026-08-31T06:39:39.325Z"},{"id":"doi:10.2514/2.2153","name":"AIAA Manuscript Review Process","source":"crossref","abstract":"","url":"https://doi.org/10.2514/2.2153","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2008-08-13T00:28:07Z","doi":"10.2514/2.2153","addedAt":"2026-08-31T06:39:39.325Z","updatedAt":"2026-08-31T06:39:39.325Z"},{"id":"doi:10.2514/3.56936","name":"AIAA Manuscript Review Process","source":"crossref","abstract":"","url":"https://doi.org/10.2514/3.56936","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2008-06-06T11:57:34Z","doi":"10.2514/3.56936","addedAt":"2026-08-31T06:39:39.325Z","updatedAt":"2026-08-31T06:39:39.325Z"},{"id":"doi:10.2514/3.56771","name":"AIAA Manuscript Review Process","source":"crossref","abstract":"","url":"https://doi.org/10.2514/3.56771","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2008-06-06T11:44:19Z","doi":"10.2514/3.56771","addedAt":"2026-08-31T06:39:39.325Z","updatedAt":"2026-08-31T06:39:39.325Z"},{"id":"doi:10.2514/3.56850","name":"AIAA Manuscript Review Process","source":"crossref","abstract":"","url":"https://doi.org/10.2514/3.56850","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2008-06-06T11:50:28Z","doi":"10.2514/3.56850","addedAt":"2026-08-31T06:39:39.325Z","updatedAt":"2026-08-31T06:39:39.325Z"},{"id":"doi:10.2514/1.57423","name":"AIAA Manuscript Review Process","source":"crossref","abstract":"","url":"https://doi.org/10.2514/1.57423","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2012-09-26T00:58:26Z","doi":"10.2514/1.57423","addedAt":"2026-08-31T06:39:39.325Z","updatedAt":"2026-08-31T06:39:39.325Z"},{"id":"doi:10.2514/3.56858","name":"AIAA Manuscript Review Process","source":"crossref","abstract":"","url":"https://doi.org/10.2514/3.56858","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2008-06-06T11:50:44Z","doi":"10.2514/3.56858","addedAt":"2026-08-31T06:39:39.325Z","updatedAt":"2026-08-31T06:39:39.325Z"},{"id":"doi:10.2514/1.70003","name":"AIAA Manuscript Review Process","source":"crossref","abstract":"","url":"https://doi.org/10.2514/1.70003","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2013-01-31T21:24:15Z","doi":"10.2514/1.70003","addedAt":"2026-08-31T06:39:39.325Z","updatedAt":"2026-08-31T06:39:39.325Z"},{"id":"doi:10.2514/2.3086","name":"AIAA Manuscript Review Process","source":"crossref","abstract":"","url":"https://doi.org/10.2514/2.3086","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2008-08-13T02:23:05Z","doi":"10.2514/2.3086","addedAt":"2026-08-31T06:39:39.325Z","updatedAt":"2026-08-31T06:39:39.325Z"},{"id":"doi:10.2514/1.35907","name":"AIAA Manuscript Review Process","source":"crossref","abstract":"","url":"https://doi.org/10.2514/1.35907","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2012-09-26T03:35:52Z","doi":"10.2514/1.35907","addedAt":"2026-08-31T06:39:39.325Z","updatedAt":"2026-08-31T06:39:39.325Z"},{"id":"doi:10.2514/3.56823","name":"AIAA Manuscript Review Process","source":"crossref","abstract":"","url":"https://doi.org/10.2514/3.56823","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2008-06-06T11:49:11Z","doi":"10.2514/3.56823","addedAt":"2026-08-31T06:39:39.325Z","updatedAt":"2026-08-31T06:39:39.325Z"},{"id":"doi:10.2514/2.2282","name":"AIAA Manuscript Review Process","source":"crossref","abstract":"","url":"https://doi.org/10.2514/2.2282","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2008-08-13T00:42:11Z","doi":"10.2514/2.2282","addedAt":"2026-08-31T06:39:39.325Z","updatedAt":"2026-08-31T06:39:39.325Z"},{"id":"doi:10.1108/eb030188","name":"Progress of Research 1929–1937","source":"crossref","abstract":"","url":"https://doi.org/10.1108/eb030188","authors":["Henry Tizard"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2008-02-16T08:57:38Z","doi":"10.1108/eb030188","addedAt":"2026-08-31T06:39:39.325Z","updatedAt":"2026-08-31T06:39:39.325Z"},{"id":"doi:10.1108/eb037175","name":"Helitech 91","source":"crossref","abstract":"","url":"https://doi.org/10.1108/eb037175","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2008-02-23T07:17:14Z","doi":"10.1108/eb037175","addedAt":"2026-08-31T06:39:39.325Z","updatedAt":"2026-08-31T06:39:39.325Z"},{"id":"doi:10.2514/3.45229","name":"Review of recent research on interior noise of propeller aircraft","source":"crossref","abstract":"","url":"https://doi.org/10.2514/3.45229","authors":["John S. Mixson","Clemans A. Powell"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2008-06-05T19:38:00Z","doi":"10.2514/3.45229","addedAt":"2026-08-31T06:39:39.325Z","updatedAt":"2026-08-31T06:39:39.325Z"},{"id":"doi:10.2514/1.c031692","name":"Review of the F-16 Individual Aircraft Tracking Program","source":"crossref","abstract":"","url":"https://doi.org/10.2514/1.c031692","authors":["Hongchul Lee","Hwanjeong Cho","Seungbae Park"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2012-09-26T05:10:04Z","doi":"10.2514/1.c031692","addedAt":"2026-08-31T06:39:39.325Z","updatedAt":"2026-08-31T06:39:39.325Z"},{"id":"doi:10.2514/1.c032786","name":"AIAA Manuscript Review Process","source":"crossref","abstract":"","url":"https://doi.org/10.2514/1.c032786","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2014-02-24T10:50:33Z","doi":"10.2514/1.c032786","addedAt":"2026-08-31T06:39:39.325Z","updatedAt":"2026-08-31T06:39:39.325Z"},{"id":"doi:10.2514/3.57592","name":"Aircraft Applications of Titanium: A Review of the Past and Potential for the Future","source":"crossref","abstract":"","url":"https://doi.org/10.2514/3.57592","authors":["F. J. Crossley"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2008-06-06T12:44:53Z","doi":"10.2514/3.57592","addedAt":"2026-08-31T06:39:39.325Z","updatedAt":"2026-08-31T06:39:39.325Z"},{"id":"doi:10.2307/3721126","name":"Airship, Aeroplane, Aircraft. Studies in the History of Terms for Aircraft in English","source":"crossref","abstract":"","url":"https://doi.org/10.2307/3721126","authors":["R. W. Burchfield","Svante Stubelius"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2007-03-22T14:08:48Z","doi":"10.2307/3721126","addedAt":"2026-08-31T06:39:39.325Z","updatedAt":"2026-08-31T06:39:39.325Z"},{"id":"doi:10.2514/2.2824","name":"Review of Attitude Representations Used for Aircraft Kinematics","source":"crossref","abstract":"","url":"https://doi.org/10.2514/2.2824","authors":["W. F. Phillips","C. E. Hailey","G. A. Gebert"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2008-08-13T01:54:36Z","doi":"10.2514/2.2824","addedAt":"2026-08-31T06:39:39.325Z","updatedAt":"2026-08-31T06:39:39.325Z"},{"id":"doi:10.1108/aeat-10-2012-0184","name":"A review on aircraft joints design","source":"crossref","abstract":"","url":"https://doi.org/10.1108/aeat-10-2012-0184","authors":["Carlos Eduardo Chaves","Fernando Ferreira Fernandez"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2017-01-17T09:48:25Z","doi":"10.1108/aeat-10-2012-0184","addedAt":"2026-08-31T06:39:39.325Z","updatedAt":"2026-08-31T06:39:39.325Z"},{"id":"doi:10.15866/irease.v18i5.26628","name":"Integrated Longitudinal Control System for a Tilt-Rotor eVTOL Using Dynamic Inversion, Adaptive Neural Networks and Pseudo Control Hedging","source":"crossref","abstract":"","url":"https://doi.org/10.15866/irease.v18i5.26628","authors":["Seong Heon Jeong","Seongjoo Yoon","Yongkyu Song"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-02-25T13:58:43Z","doi":"10.15866/irease.v18i5.26628","addedAt":"2026-08-31T06:39:39.325Z","updatedAt":"2026-08-31T06:39:39.325Z"},{"id":"doi:10.2514/2.3083","name":"Review of Attitude Representations Used for Aircraft Kinematics","source":"crossref","abstract":"","url":"https://doi.org/10.2514/2.3083","authors":["W. F. Phillips","C. E. Hailey","G. A. Gebert"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2008-08-13T02:22:18Z","doi":"10.2514/2.3083","addedAt":"2026-08-31T06:39:39.325Z","updatedAt":"2026-08-31T06:39:39.325Z"},{"id":"doi:10.1108/eb034604","name":"The Evolution of Aircraft Instruments","source":"crossref","abstract":"SINCE the end of the Second World War there has been a gradual evolution in the accuracy and reliability of aircraft instrumentation. This has been achieved primarily by the application of new technologies to the equipment itself and also by the introduction of new sensors. The evolution in the nature and form of the cockpit displays themselves has been less pronounced and certainly not as notable as in other areas such as automatic landing.","url":"https://doi.org/10.1108/eb034604","authors":["W.H. McKinlay"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2008-02-16T08:18:26Z","doi":"10.1108/eb034604","addedAt":"2026-08-31T06:39:39.325Z","updatedAt":"2026-08-31T06:39:39.325Z"},{"id":"doi:10.1108/eb034541","name":"The Influence of the Engine on Aircraft Design","source":"crossref","abstract":"","url":"https://doi.org/10.1108/eb034541","authors":["K.S. Lawson"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2014-11-12T17:15:00Z","doi":"10.1108/eb034541","addedAt":"2026-08-31T06:39:39.325Z","updatedAt":"2026-08-31T06:39:39.325Z"},{"id":"doi:10.5194/acp-2019-866-rc1","name":"Review of OH reactivity measurements from the ATom aircraft projects","source":"crossref","abstract":"","url":"https://doi.org/10.5194/acp-2019-866-rc1","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2019-11-13T05:47:09Z","doi":"10.5194/acp-2019-866-rc1","addedAt":"2026-08-31T06:39:39.325Z","updatedAt":"2026-08-31T06:39:39.325Z"},{"id":"doi:10.2514/3.43899","name":"Review of scramjet propulsion technology.","source":"crossref","abstract":"","url":"https://doi.org/10.2514/3.43899","authors":["A. FERRI"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2008-06-05T18:17:34Z","doi":"10.2514/3.43899","addedAt":"2026-08-31T06:39:39.325Z","updatedAt":"2026-08-31T06:39:39.325Z"},{"id":"doi:10.1109/aus.2016.7748078","name":"A review of powered wheel for aircraft","source":"crossref","abstract":"","url":"https://doi.org/10.1109/aus.2016.7748078","authors":["Jianfeng Tao","Junxia Guo","Chengliang Liu"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2016-11-30T17:20:17Z","doi":"10.1109/aus.2016.7748078","addedAt":"2026-08-31T06:39:39.325Z","updatedAt":"2026-08-31T06:39:39.325Z"},{"id":"doi:10.1049/ic.2013.0177","name":"A review of the modelling of CFC for lightning threats to aircraft","source":"crossref","abstract":"","url":"https://doi.org/10.1049/ic.2013.0177","authors":["S.J. Earl"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2014-02-18T04:31:40Z","doi":"10.1049/ic.2013.0177","addedAt":"2026-08-31T06:39:39.325Z","updatedAt":"2026-08-31T06:39:39.325Z"},{"id":"doi:10.1007/s13272-026-00985-9","name":"Artificial intelligence-driven design and deployment of autonomous eVTOL drones for urban air mobility: a comprehensive review of challenges, technologies, and integration strategies","source":"crossref","abstract":"Abstract Urban Air Mobility (UAM) is emerging as a disruptive solution to traffic congestion, environmental degradation, and limited transport infrastructure in densely populated cities. At the core of UAM systems are autonomous electric Vertical Take-Off and Landing (eVTOL) aircraft, designed to operate within complex urban airspaces. This review examines how Artificial Intelligence (AI) serves as a foundational enabler in the development, operation, and integration of eVTOL platforms. It explores AI’s critical role in flight control, real-time navigation, path optimization, fault detection, and predictive maintenance. Enabling technologies such as digital twins, edge AI, and distributed learning frameworks are also reviewed, with emphasis on their role in enhancing decision-making, scalability, and operational resilience. In addition, this paper identifies pressing challenges that must be addressed before large-scale deployment becomes feasible, including limitations in battery technology, fragmented AI integration, regulatory uncertainties, and ethical concerns surrounding autonomy and human oversight. A phased strategic roadmap is proposed, outlining the transition from supervised trials to fully autonomous, AI-managed aerial mobility networks. The paper also highlights the need for standardized testbeds, real-world validation environments, and ethical co-design practices to ensure trust, compliance, and social acceptance. Ultimately, the review underscores the necessity of multidisciplinary collaboration across AI, aerospace engineering, urban policy, and ethics to realize a sustainable and intelligent UAM future.","url":"https://doi.org/10.1007/s13272-026-00985-9","authors":["Miniyenkosi Ngcukayitobi"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-06-26T05:28:25Z","doi":"10.1007/s13272-026-00985-9","addedAt":"2026-08-31T06:39:39.325Z","updatedAt":"2026-08-31T06:39:57.284Z"},{"id":"doi:10.1108/eb032489","name":"The Spinning of Modern Aircraft","source":"crossref","abstract":"SPINNING is a rather complicated subject but it is possible to present quite a broad view without going into too much detail so that one can appreciate the way in which the various characteristics of the aircraft can affect the motion both during the spin and in the recovery from the spin. In the following notes an attempt has been made to do this in a way which, it is hoped, will be helpful to the designer and the flight technician and pilot.","url":"https://doi.org/10.1108/eb032489","authors":["T.H. Kerr"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2014-11-12T13:31:24Z","doi":"10.1108/eb032489","addedAt":"2026-08-31T06:39:39.325Z","updatedAt":"2026-08-31T06:39:39.325Z"},{"id":"doi:10.2514/1.c034777","name":"AIAA Policy Statements and Manuscript Review Process","source":"crossref","abstract":"","url":"https://doi.org/10.2514/1.c034777","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2018-02-06T08:53:47Z","doi":"10.2514/1.c034777","addedAt":"2026-08-31T06:39:39.325Z","updatedAt":"2026-08-31T06:39:39.325Z"},{"id":"doi:10.2514/6.1974-992","name":"A review of some Air Force STOL aircraft aerodynamic prediction methods","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.1974-992","authors":["H. WOOLARD"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2013-08-22T20:13:27Z","doi":"10.2514/6.1974-992","addedAt":"2026-08-31T06:39:39.325Z","updatedAt":"2026-08-31T06:39:39.325Z"},{"id":"doi:10.2514/1.c033778","name":"AIAA Policy Statements and Manuscript Review Process","source":"crossref","abstract":"","url":"https://doi.org/10.2514/1.c033778","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2016-03-11T04:51:02Z","doi":"10.2514/1.c033778","addedAt":"2026-08-31T06:39:39.325Z","updatedAt":"2026-08-31T06:39:39.325Z"},{"id":"doi:10.2514/1.c033281","name":"AIAA Policy Statements and Manuscript Review Process","source":"crossref","abstract":"","url":"https://doi.org/10.2514/1.c033281","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2015-02-05T15:53:37Z","doi":"10.2514/1.c033281","addedAt":"2026-08-31T06:39:39.325Z","updatedAt":"2026-08-31T06:39:39.325Z"},{"id":"doi:10.2514/1.c035245","name":"AIAA Policy Statements and Manuscript Review Process","source":"crossref","abstract":"","url":"https://doi.org/10.2514/1.c035245","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2019-02-05T12:32:36Z","doi":"10.2514/1.c035245","addedAt":"2026-08-31T06:39:39.325Z","updatedAt":"2026-08-31T06:39:39.325Z"},{"id":"doi:10.5194/acp-2020-660-rc2","name":"Review of Schneider et al. \"Aircraft-based observation of meteoric material\"","source":"crossref","abstract":"","url":"https://doi.org/10.5194/acp-2020-660-rc2","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2020-09-20T18:21:55Z","doi":"10.5194/acp-2020-660-rc2","addedAt":"2026-08-31T06:39:39.325Z","updatedAt":"2026-08-31T06:39:39.325Z"},{"id":"doi:10.2307/1071198","name":"Insurance. Aviation Exclusion Clause. Death from Drowning after Abandoning Ditched Aircraft Comes within Exclusion Clause Denying Recovery If Death Occurs \"While Operating\" Aircraft","source":"crossref","abstract":"","url":"https://doi.org/10.2307/1071198","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2006-05-10T04:48:48Z","doi":"10.2307/1071198","addedAt":"2026-08-31T06:39:39.325Z","updatedAt":"2026-08-31T06:39:39.325Z"},{"id":"doi:10.2514/1.c034255","name":"AIAA Policy Statements and Manuscript Review Process","source":"crossref","abstract":"","url":"https://doi.org/10.2514/1.c034255","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2017-02-22T16:11:21Z","doi":"10.2514/1.c034255","addedAt":"2026-08-31T06:39:39.325Z","updatedAt":"2026-08-31T06:39:39.325Z"},{"id":"doi:10.21203/rs.3.rs-58619/v1","name":"Dynamic buoyancy-the cause of aircraft lift","source":"crossref","abstract":"Abstract The stone floating in the rapids and airplane rising in the air should follow the same principle. Through analyzing and calculating the problem that high-speed water flow makes the stone float, puts forward the concept of dynamic buoyancy, proves that dynamic buoyancy is the cause of stone floating, and applies this result to the problem of aircraft lift, the calculation formula of aircraft lift is derived, namely FX=ρv2Sx/2+ρgV, and solves the defects of current lift theory. Dynamic buoyancy is the cause of the lift produced by the aircraft.","url":"https://doi.org/10.21203/rs.3.rs-58619/v1","authors":["yanhui zhou"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2020-08-18T21:56:33Z","doi":"10.21203/rs.3.rs-58619/v1","addedAt":"2026-08-31T06:39:39.325Z","updatedAt":"2026-08-31T06:39:39.325Z"},{"id":"doi:10.31224/2608","name":"Continuous Maintenance of Damaged Aircraft Wings: A Comprehensive Review","source":"crossref","abstract":"","url":"https://doi.org/10.31224/2608","authors":["Balakrishnan Devarajan"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2022-10-11T00:06:30Z","doi":"10.31224/2608","addedAt":"2026-08-31T06:39:39.325Z","updatedAt":"2026-08-31T06:39:39.325Z"},{"id":"doi:10.2514/3.44378","name":"Review of current sonic boom studies.","source":"crossref","abstract":"","url":"https://doi.org/10.2514/3.44378","authors":["Edward J. Kane"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2008-06-05T18:48:17Z","doi":"10.2514/3.44378","addedAt":"2026-08-31T06:39:39.325Z","updatedAt":"2026-08-31T06:39:39.325Z"},{"id":"doi:10.1016/s0961-1290(04)00156-5","name":"Aircraft directional IR countermeasures","source":"crossref","abstract":"","url":"https://doi.org/10.1016/s0961-1290(04)00156-5","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2004-02-24T10:15:49Z","doi":"10.1016/s0961-1290(04)00156-5","addedAt":"2026-08-31T06:39:39.325Z","updatedAt":"2026-08-31T06:39:39.325Z"},{"id":"doi:10.1108/eb034114","name":"A Review of Propulsion for High Mach Number Aircraft","source":"crossref","abstract":"","url":"https://doi.org/10.1108/eb034114","authors":["R.J. Lane"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2014-11-12T16:09:06Z","doi":"10.1108/eb034114","addedAt":"2026-08-31T06:39:39.325Z","updatedAt":"2026-08-31T06:39:39.325Z"},{"id":"doi:10.13052/jmm1550-4646.19116","name":"Challenges of Machine Learning for eVTOL Reliability and Safety","source":"crossref","abstract":"The increasing number of requests for type certification received by the European Union Safety Agency on Vertical Takeoff and Landing (VTOL) aircraft attests to the expansion of frontiers in Urban Air Mobility (UAM). In addition, it has revealed the interest of traditional airplane and helicopter manufacturers in this new technology, all the while highlighting the emergence of new players developing their respective versions of electric-powered VTOLs (eVTOL). The perspective of eVTOLs going into service in the coming years for the transport of passengers raises new safety concerns. Indeed, it is necessary to ensure the reliability and safety aspects of those aircraft systems that will be flying under new operational missions, differing from current fixed wing (airplanes) and rotorcraft (helicopters) aircraft. At the same time, the evolution of aircraft systems monitoring technology is making it possible to acquire increasing amounts of data. The high complexity of new systems, combined with the huge amount of data provided, can make the decision-making process more difficult for pilots. Machine learning makes it possible to evaluate this data and improve reliability and safety. Even as the number of aeronautical accidents has decreased over the last years, 60–80% of those accidents are the result of human failure. In the initial implementation and operation stages of eVTOLs, machine learning (ML) can support pilots by using aircraft data to predict system failures and contribute to improve reliability and safety. Then, at an advanced stage of eVTOL operation, ML may help reduce human interaction with the aircraft, paving the way toward fully autonomous aircraft. The association of ML with technologies such as Digital Twins and 6G networks has the potential to enable safe and reliable autonomous flight. However, the introduction of eVTOLs will also increase air traffic in highly populated areas and thus needs to be studied to support the incorporation of the future autonomous aircraft. This paper addresses the main challenges for the incorporation of ML in the upcoming eVTOL fleet and its potential contribution to aircraft systems reliability and safety. It also explores the need for the use of ML techniques in a more autonomous air traffic management systems the face of increased air traffic.","url":"https://doi.org/10.13052/jmm1550-4646.19116","authors":["Marcos Aurelio Salvador"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2022-10-02T01:12:43Z","doi":"10.13052/jmm1550-4646.19116","addedAt":"2026-08-31T06:39:39.325Z","updatedAt":"2026-08-31T06:39:39.325Z"},{"id":"doi:10.16980/jitc.11.4.201509.21","name":"Review of Recent Aircraft Accidents in Relation to Aircraft Insurance","source":"crossref","abstract":"","url":"https://doi.org/10.16980/jitc.11.4.201509.21","authors":["곽영암","홍수희"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2015-09-15T02:26:47Z","doi":"10.16980/jitc.11.4.201509.21","addedAt":"2026-08-31T06:39:39.325Z","updatedAt":"2026-08-31T06:39:39.325Z"},{"id":"doi:10.1108/eb029397","name":"Aircraft Wheels and Tyres","source":"crossref","abstract":"","url":"https://doi.org/10.1108/eb029397","authors":["George H. Dowty"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2014-11-12T13:47:17Z","doi":"10.1108/eb029397","addedAt":"2026-08-31T06:39:39.325Z","updatedAt":"2026-08-31T06:39:39.325Z"},{"id":"doi:10.1108/eb032771","name":"Australian Work on Aircraft Fatigue and Life Evaluation","source":"crossref","abstract":"Fatigue of aircraft structures has become a major subject for research in the past ten years and the importance of establishing safe lifetimes for operation of aircraft or for replaceable structural components is now recognized. Some major contributions have been made to the knowledge of this subject, including methods of life assessment, determination of the fatigue resistance of several types of complete aircraft wing structure by laboratory test and some more fundamental studies of fatigue. The fatigue problem is considerably better understood than it was ten years ago and it can now be said with certainty where the most serious gaps lie. Information on two of these topics—namely, scatter, and the effect of random loading sequences—is being sought in the research programmes now proceeding at the Aeronautical Research Laboratories. Because of the vastness of the field a plea is made for greater inter‐change of information on the results of fatigue tests in all countries.","url":"https://doi.org/10.1108/eb032771","authors":["F.H. Hooke","P.S. Langford"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2008-02-16T08:39:24Z","doi":"10.1108/eb032771","addedAt":"2026-08-31T06:39:39.325Z","updatedAt":"2026-08-31T06:39:39.325Z"},{"id":"doi:10.1002/2688-8319.12384/v2/review1","name":"Review for \"Biogeographical patterns in the seasonality of bird collisions with aircraft\"","source":"crossref","abstract":"","url":"https://doi.org/10.1002/2688-8319.12384/v2/review1","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-09-20T17:11:41Z","doi":"10.1002/2688-8319.12384/v2/review1","addedAt":"2026-08-31T06:39:39.325Z","updatedAt":"2026-08-31T06:39:39.325Z"},{"id":"doi:10.1108/eb034641","name":"Developments in Transport Aircraft Interior Design","source":"crossref","abstract":"BY common consent, air transport is heading for a dramatic expansion in the decade just dawning, and by 1980 the volume of air traffic in the free world is predicted to be at least three times what it is today (around 300 million passengers in 1970). This means that around a 1,000 million passengers will be travelling by air per year by 1980 and air transport will almost certainly be the world's biggest industry.","url":"https://doi.org/10.1108/eb034641","authors":["Norman Barfield"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2014-11-12T17:25:10Z","doi":"10.1108/eb034641","addedAt":"2026-08-31T06:39:39.325Z","updatedAt":"2026-08-31T06:39:39.325Z"},{"id":"doi:10.1002/eng2.12946/v2/review1","name":"Review for \"Data augmentation for predictive maintenance: Synthesising aircraft landing gear datasets\"","source":"crossref","abstract":"","url":"https://doi.org/10.1002/eng2.12946/v2/review1","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-06-15T17:05:42Z","doi":"10.1002/eng2.12946/v2/review1","addedAt":"2026-08-31T06:39:39.325Z","updatedAt":"2026-08-31T06:39:39.325Z"},{"id":"doi:10.16980/jitc.11.4.201508.21","name":"Review of Recent Aircraft Accidents in Relation to Aircraft Insurance","source":"crossref","abstract":"","url":"https://doi.org/10.16980/jitc.11.4.201508.21","authors":["곽영암","홍수희"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2016-11-15T07:10:05Z","doi":"10.16980/jitc.11.4.201508.21","addedAt":"2026-08-31T06:39:39.325Z","updatedAt":"2026-08-31T06:39:39.325Z"},{"id":"doi:10.17226/9604","name":"A Review of NASA's 'Atmospheric Effects of Stratospheric Aircraft' Project","source":"crossref","abstract":"","url":"https://doi.org/10.17226/9604","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2015-10-24T14:37:12Z","doi":"10.17226/9604","addedAt":"2026-08-31T06:39:39.325Z","updatedAt":"2026-08-31T06:39:39.325Z"},{"id":"doi:10.1080/02722010609481403","name":"“The Solution is Aircraft”: Aircraft and the Political Economy of Canadian Forest Fires","source":"crossref","abstract":"","url":"https://doi.org/10.1080/02722010609481403","authors":["Stephen J. Pyne"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2009-08-27T23:44:28Z","doi":"10.1080/02722010609481403","addedAt":"2026-08-31T06:39:39.325Z","updatedAt":"2026-08-31T06:39:39.325Z"},{"id":"doi:10.4050/f-0076-2020-16405","name":"Working Group on eVTOL Noise Assessment","source":"crossref","abstract":"Acceptance of close-proximity eVTOL aircraft depends on public perception that they are quiet in relation to the environment. When they are audible, their influence on community soundscapes must not be intrusive. To solve for that, measurement of \"quiet\" is needed using a physiological model of hearing rather than a sound pressure measurement intended for entirely different applications. While we are starting with baseline noise metrics using earlier methods, we propose a cooperative effort to coordinate development, testing and education about techniques that correlate better with perception of quiet. Two major differences are proposed between current practice and future methods: measure vehicle loudness rather than sound pressure, and measure operations with respect to ambient rather than to meet an arbitrary level for a given land use. These are not new concepts, but require computational resources that until recently were too expensive to be practical.","url":"https://doi.org/10.4050/f-0076-2020-16405","authors":["David Josephson"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-07-10T16:45:00Z","doi":"10.4050/f-0076-2020-16405","addedAt":"2026-08-31T06:39:39.325Z","updatedAt":"2026-08-31T06:39:39.325Z"},{"id":"doi:10.2514/3.46448","name":"Aeronautical activities in Japan (Annual Review for 1992)","source":"crossref","abstract":"","url":"https://doi.org/10.2514/3.46448","authors":["Hirotoshi Kubota"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2008-06-05T20:47:50Z","doi":"10.2514/3.46448","addedAt":"2026-08-31T06:39:39.325Z","updatedAt":"2026-08-31T06:39:39.325Z"},{"id":"doi:10.21275/sr220110100905","name":"Application of Artificial Intelligence for Process Optimization in Electric Vehicle (EV) and Electric Vertical Takeoff and Landing (eVTOL) Manufacturing","source":"crossref","abstract":"","url":"https://doi.org/10.21275/sr220110100905","authors":["Keyurkumar Kantibhai Gohel"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-02-17T07:55:42Z","doi":"10.21275/sr220110100905","addedAt":"2026-08-31T06:39:39.325Z","updatedAt":"2026-08-31T06:39:39.325Z"},{"id":"doi:10.2514/6.2018-2008","name":"Energy Efficient Arrival with RTA Constraint for Urban eVTOL Operations","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2018-2008","authors":["Priyank Pradeep","Peng Wei"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2018-01-08T04:17:29Z","doi":"10.2514/6.2018-2008","addedAt":"2026-08-31T06:39:39.325Z","updatedAt":"2026-08-31T06:39:39.325Z"},{"id":"doi:10.5162/ettc2020/2.6","name":"2.6 How conventional Flight Test Instrumentation Concepts can Contribute to the innovative eVTOL Aerospace Development","source":"crossref","abstract":"","url":"https://doi.org/10.5162/ettc2020/2.6","authors":["L. A. Jacob da Motta"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2020-12-18T14:41:12Z","doi":"10.5162/ettc2020/2.6","addedAt":"2026-08-31T06:39:39.325Z","updatedAt":"2026-08-31T06:39:39.325Z"},{"id":"doi:10.1108/aeat.2000.12772bab.021","name":"Transport aircraft fuel tank system design review, flammability reduction, and maintenance and inspection requirements","source":"crossref","abstract":"","url":"https://doi.org/10.1108/aeat.2000.12772bab.021","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2014-11-12T18:41:39Z","doi":"10.1108/aeat.2000.12772bab.021","addedAt":"2026-08-31T06:39:39.325Z","updatedAt":"2026-08-31T06:39:39.325Z"},{"id":"doi:10.2514/6.1978-3003","name":"Review of aircraft design, 1928 - 1953","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.1978-3003","authors":["R. LANGE"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2013-10-08T17:35:46Z","doi":"10.2514/6.1978-3003","addedAt":"2026-08-31T06:39:39.325Z","updatedAt":"2026-08-31T06:39:39.325Z"},{"id":"doi:10.2514/1.5269","name":"Review of Unsteady Vortex Flows over Slender Delta Wings","source":"crossref","abstract":"","url":"https://doi.org/10.2514/1.5269","authors":["Ismet Gursul"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2008-03-13T06:07:49Z","doi":"10.2514/1.5269","addedAt":"2026-08-31T06:39:39.325Z","updatedAt":"2026-08-31T06:39:39.325Z"},{"id":"doi:10.2514/3.44220","name":"Aerodynamic decelerators - An engineering review","source":"crossref","abstract":"","url":"https://doi.org/10.2514/3.44220","authors":["WILLIAM B. PEPPER","RANDALL C. MAYDEW"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2008-06-05T18:38:21Z","doi":"10.2514/3.44220","addedAt":"2026-08-31T06:39:39.325Z","updatedAt":"2026-08-31T06:39:39.325Z"},{"id":"doi:10.2514/2.2934","name":"Review of Active Techniques for Aerospace Vibro-Acoustic Control","source":"crossref","abstract":"","url":"https://doi.org/10.2514/2.2934","authors":["Paolo Gardonio"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2008-08-13T02:06:34Z","doi":"10.2514/2.2934","addedAt":"2026-08-31T06:39:39.325Z","updatedAt":"2026-08-31T06:39:39.325Z"},{"id":"doi:10.2514/1.4953","name":"Analysis of Proprotor Whirl Flutter: Review and Update","source":"crossref","abstract":"","url":"https://doi.org/10.2514/1.4953","authors":["Donald L. Kunz"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2008-03-12T22:57:11Z","doi":"10.2514/1.4953","addedAt":"2026-08-31T06:39:39.325Z","updatedAt":"2026-08-31T06:39:39.325Z"},{"id":"doi:10.1108/eb034684","name":"Forty Years of the Aircraft Gas Turbine","source":"crossref","abstract":"THE aircraft gas turbine is intriguing in that there were early attempts at its development not only by the established aero engine companies and research establishments in many countries, but also by manufacturers of marine and industrial turbines and — most successfully — by individuals. The aero engine companies failed because in virtually every instance they attempted to produce a power unit of comparable or lower specific fuel consumption to the traditional piston engine. This led to unduly complex designs involving unattainably high component efficiencies and turbine temperatures at far too early a stage in the development of the new prime mover.","url":"https://doi.org/10.1108/eb034684","authors":["Kenneth Fulton"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2008-02-16T08:17:42Z","doi":"10.1108/eb034684","addedAt":"2026-08-31T06:39:39.325Z","updatedAt":"2026-08-31T06:39:39.325Z"},{"id":"doi:10.1063/1.4904694","name":"Conceptual design of high speed supersonic aircraft: A brief review on SR-71 (Blackbird) aircraft","source":"crossref","abstract":"","url":"https://doi.org/10.1063/1.4904694","authors":["Hui Xue","H. Khawaja","M. Moatamedi"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2014-12-11T01:30:46Z","doi":"10.1063/1.4904694","addedAt":"2026-08-31T06:39:39.325Z","updatedAt":"2026-08-31T06:39:39.325Z"},{"id":"doi:10.1108/eb033491","name":"Aircraft Electrical Generating Systems","source":"crossref","abstract":"WE do not need to be reminded of the increasing importance of the electrical system in the modern aeroplane, either from the point of view of efficient operation of the aircraft or from the point of view of reliability and safety.","url":"https://doi.org/10.1108/eb033491","authors":["T.E. Simms"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2014-11-12T15:12:58Z","doi":"10.1108/eb033491","addedAt":"2026-08-31T06:39:39.325Z","updatedAt":"2026-08-31T06:39:39.325Z"},{"id":"doi:10.1108/eb034234","name":"Noise and the SST","source":"crossref","abstract":"","url":"https://doi.org/10.1108/eb034234","authors":["Nathan Shapiro","S. Sherman Edwards"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2008-02-16T08:23:05Z","doi":"10.1108/eb034234","addedAt":"2026-08-31T06:39:39.325Z","updatedAt":"2026-08-31T06:39:39.325Z"},{"id":"doi:10.2514/6.1975-1023","name":"All weather automatic landing on civil aircraft - A review of Aerospatiale's experience on concepts and operations","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.1975-1023","authors":["Y. NEGRE"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2013-08-21T20:29:17Z","doi":"10.2514/6.1975-1023","addedAt":"2026-08-31T06:39:39.325Z","updatedAt":"2026-08-31T06:39:39.325Z"},{"id":"doi:10.1201/9781315228167-2","name":"Aerodynamic Review","source":"crossref","abstract":"","url":"https://doi.org/10.1201/9781315228167-2","authors":["James DeLaurier"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2022-04-04T18:36:37Z","doi":"10.1201/9781315228167-2","addedAt":"2026-08-31T06:39:39.325Z","updatedAt":"2026-08-31T06:39:39.325Z"},{"id":"doi:10.2514/6.2022-1295","name":"Investigation into Aeroacoustic Rotor Scaling Effects for eVTOL Applications","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2022-1295","authors":["Matthew Walker","Daniel R. Cuppoletti"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2022-01-04T05:30:49Z","doi":"10.2514/6.2022-1295","addedAt":"2026-08-31T06:39:39.325Z","updatedAt":"2026-08-31T06:39:39.325Z"},{"id":"doi:10.5194/acp-2018-1351-rc1","name":"Review: Identification of jet lubrication oil as major component of aircraft exhaust nanoparticles","source":"crossref","abstract":"","url":"https://doi.org/10.5194/acp-2018-1351-rc1","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2019-02-25T03:38:03Z","doi":"10.5194/acp-2018-1351-rc1","addedAt":"2026-08-31T06:39:39.325Z","updatedAt":"2026-08-31T06:39:39.325Z"},{"id":"doi:10.1108/eb031336","name":"British Aircraft Gas Turbine Engine Progress","source":"crossref","abstract":"","url":"https://doi.org/10.1108/eb031336","authors":["H. Roxbee Cox"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2014-11-12T17:39:35Z","doi":"10.1108/eb031336","addedAt":"2026-08-31T06:39:39.325Z","updatedAt":"2026-08-31T06:39:39.325Z"},{"id":"doi:10.1108/eb030440","name":"Series Construction of the Hurricane I","source":"crossref","abstract":"IT is a comparatively simple matter to settle down to the quantity production of an aeroplane in a brand new factory where expense is no object when considering the purchase of new machines and the ordering of tools, but it is far different when the factory already exists and has to be adapted to produce a much greater number of machines than had ever been contemplated by its original constructors and when the cost of the original design has to be added to that of tooling and overheads. The production of the Hawker Hurricane 1 affords a striking example of the successful solution of this problem. No one with any knowledge of the Kingston works can do anything but admit that they are not ideal. The buildings are old and at no time has work been slack enough to permit the closing of any one section for its complete rebuilding. Another handicapping feature was the lack of space in the immediate vicinity to allow for expansion. It is these facts that must be understood and appreciated for the true realisation of the work described in the following pages.","url":"https://doi.org/10.1108/eb030440","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2008-02-16T08:55:18Z","doi":"10.1108/eb030440","addedAt":"2026-08-31T06:39:39.325Z","updatedAt":"2026-08-31T06:39:39.325Z"},{"id":"doi:10.1109/aus.2016.7748100","name":"A review of electromechanical actuation system for more electric aircraft","source":"crossref","abstract":"","url":"https://doi.org/10.1109/aus.2016.7748100","authors":["Jianming Li","Zhiyuan Yu","Yuping Huang","Zhiguo Li"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2016-11-30T22:20:17Z","doi":"10.1109/aus.2016.7748100","addedAt":"2026-08-31T06:39:39.325Z","updatedAt":"2026-08-31T06:39:39.325Z"},{"id":"doi:10.1002/eng2.70214/v3/review2","name":"Review for \"Automation of Predictive Maintenance: An Experimental Framework for Aircraft Landing Gear\"","source":"crossref","abstract":"","url":"https://doi.org/10.1002/eng2.70214/v3/review2","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-09-30T23:22:01Z","doi":"10.1002/eng2.70214/v3/review2","addedAt":"2026-08-31T06:39:39.325Z","updatedAt":"2026-08-31T06:39:39.325Z"},{"id":"doi:10.5962/p.346886","name":"Bird hazards to aircraft: Problem and prevention of bird /aircraft collision, by Hans Blokpoel [Review]","source":"crossref","abstract":"","url":"https://doi.org/10.5962/p.346886","authors":["D. Vaughn. Weseloh"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-02-01T10:19:31Z","doi":"10.5962/p.346886","addedAt":"2026-08-31T06:39:39.325Z","updatedAt":"2026-08-31T06:39:39.325Z"},{"id":"doi:10.2478/fas-2018-0001","name":"Aircraft Corrosion – Review of Corrosion Processes and its Effects in Selected Cases","source":"crossref","abstract":"Abstract From the safety point of view, one of the most important issues regarding aircraft operations is ensuring the durability of the structural components. Corrosion processes can have a significant effect on the integrity of structural materials and are usually associated with aircraft aging. Due to the variety of materials used, environments and loads impacting the planes, a wide range of different types of corrosion may occur in aircraft structures. The main aim of this study is to present some theoretical knowledge related to corrosion processes as well as problems of aircraft structures associated with corrosion occurrence. Firstly, the paper presents a brief overview of what corrosion is and what different types of corrosion are. Secondly, some selected aircraft failures caused by corrosion are shortly presented and discussed.","url":"https://doi.org/10.2478/fas-2018-0001","authors":["Magdalena Czaban"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2019-05-13T06:43:40Z","doi":"10.2478/fas-2018-0001","addedAt":"2026-08-31T06:39:39.325Z","updatedAt":"2026-08-31T06:39:39.325Z"},{"id":"doi:10.21236/ad0748271","name":"A Brief Review of the Aircraft Trailing Vortex Problem","source":"crossref","abstract":"","url":"https://doi.org/10.21236/ad0748271","authors":["Coleman Donaldson"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2017-09-20T09:18:19Z","doi":"10.21236/ad0748271","addedAt":"2026-08-31T06:39:39.325Z","updatedAt":"2026-08-31T06:39:39.325Z"},{"id":"doi:10.1109/taes.2025.3640606","name":"Fault-Tolerant Control of a Coaxial Tilt-Rotor eVTOL Aircraft via a Precise Faulty Factor Observer","source":"crossref","abstract":"","url":"https://doi.org/10.1109/taes.2025.3640606","authors":["Zheng Hou","Zongyang Lv","Yuhu Wu","Kai Liu","Hao Zhou"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-12-05T18:40:57Z","doi":"10.1109/taes.2025.3640606","addedAt":"2026-08-31T06:39:39.325Z","updatedAt":"2026-08-31T06:39:39.468Z"},{"id":"doi:10.2307/128803","name":"Russian Aircraft since 1940","source":"crossref","abstract":"","url":"https://doi.org/10.2307/128803","authors":["Warren B. Walsh","Jean Alexander"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2006-07-06T01:17:24Z","doi":"10.2307/128803","addedAt":"2026-08-31T06:39:39.325Z","updatedAt":"2026-08-31T06:39:39.325Z"},{"id":"doi:10.4271/air4653","name":"Flight Management Systems Review","source":"crossref","abstract":"&lt;div class=\"section abstract\"&gt; &lt;div class=\"htmlview paragraph\"&gt;The information contained in this document is based on line experience with current systems. It should be used as a basis for ongoing research and development including the human factors aspects of future flight management systems and their interaction with the ATC environment.&lt;/div&gt;&lt;/div&gt;","url":"https://doi.org/10.4271/air4653","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2017-03-06T10:59:23Z","doi":"10.4271/air4653","addedAt":"2026-08-31T06:39:39.325Z","updatedAt":"2026-08-31T06:39:39.325Z"},{"id":"doi:10.5703/1288284317285","name":"Cost Analysis of eVTOL Configuration Design for an Air Ambulances System in Japan","source":"crossref","abstract":"","url":"https://doi.org/10.5703/1288284317285","authors":["Yusuke Mihara","Payuhavorakulchai Pawnlada","Aki Nakamoto","Tsubasa Nakamura","Masaru Nakano"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2021-02-03T15:00:59Z","doi":"10.5703/1288284317285","addedAt":"2026-08-31T06:39:39.325Z","updatedAt":"2026-08-31T06:39:39.325Z"},{"id":"doi:10.54349/26586061_2023_1_31","name":"Approaches for noise certification of the new category aircraft “Emerging Technology Aircraft” (review)","source":"crossref","abstract":"","url":"https://doi.org/10.54349/26586061_2023_1_31","authors":["S.I. Baeva","Ia.S. Pochkin","Iu.D. Khaletskii"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-04-20T13:54:21Z","doi":"10.54349/26586061_2023_1_31","addedAt":"2026-08-31T06:39:39.325Z","updatedAt":"2026-08-31T06:39:39.325Z"},{"id":"doi:10.2307/1117890","name":"The Applicability of General Average to Aircraft","source":"crossref","abstract":"","url":"https://doi.org/10.2307/1117890","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2006-04-26T02:35:40Z","doi":"10.2307/1117890","addedAt":"2026-08-31T06:39:39.325Z","updatedAt":"2026-08-31T06:39:39.325Z"},{"id":"doi:10.2514/3.59146","name":"Unsteady Airfoil Stall, Review and Extension","source":"crossref","abstract":"","url":"https://doi.org/10.2514/3.59146","authors":["LARS E. ERICSSON","J. PETER REDING"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2008-06-06T20:22:11Z","doi":"10.2514/3.59146","addedAt":"2026-08-31T06:39:39.325Z","updatedAt":"2026-08-31T06:39:39.325Z"},{"id":"doi:10.2307/1118269","name":"Eminent Domain. Aircraft and Aviation. Implied Taking","source":"crossref","abstract":"","url":"https://doi.org/10.2307/1118269","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2006-04-25T22:22:56Z","doi":"10.2307/1118269","addedAt":"2026-08-31T06:39:39.325Z","updatedAt":"2026-08-31T06:39:39.325Z"},{"id":"doi:10.2514/6.2021-0254","name":"Robust Full-Envelope Flight Control Design for an eVTOL Vehicle","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2021-0254","authors":["Hao Yang","Rafael Morales"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2021-01-05T07:59:38Z","doi":"10.2514/6.2021-0254","addedAt":"2026-08-31T06:39:39.325Z","updatedAt":"2026-08-31T06:39:39.325Z"},{"id":"doi:10.2514/6.2021-3183","name":"A Market Segmentation Analysis for an eVTOL Air Taxi Shuttle","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2021-3183","authors":["Conor Hill","Laurie A. Garrow"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2021-07-28T15:32:16Z","doi":"10.2514/6.2021-3183","addedAt":"2026-08-31T06:39:39.325Z","updatedAt":"2026-08-31T06:39:39.325Z"},{"id":"doi:10.2307/1118534","name":"Federal Recordation of Title to Intrastate Aircraft","source":"crossref","abstract":"","url":"https://doi.org/10.2307/1118534","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2006-04-26T02:44:01Z","doi":"10.2307/1118534","addedAt":"2026-08-31T06:39:39.325Z","updatedAt":"2026-08-31T06:39:39.325Z"},{"id":"doi:10.4050/sm_2023_hq-1198","name":"US Army eVTOL Qualitative Evaluation","source":"crossref","abstract":"The presentation slides by MAJ Wesley Ogden, UE Army - CCDC AvMC on US Army eVTOL Qualitative Evaluation, Beta Alia 250 overview, and more.","url":"https://doi.org/10.4050/sm_2023_hq-1198","authors":["Wesley Ogden"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-07-29T15:32:06Z","doi":"10.4050/sm_2023_hq-1198","addedAt":"2026-08-31T06:39:39.325Z","updatedAt":"2026-08-31T06:39:39.325Z"},{"id":"doi:10.2514/3.43706","name":"A review of NASA high-altitude clear air turbulence sampling programs.","source":"crossref","abstract":"","url":"https://doi.org/10.2514/3.43706","authors":["ROY STEINER"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2008-06-05T18:05:48Z","doi":"10.2514/3.43706","addedAt":"2026-08-31T06:39:39.325Z","updatedAt":"2026-08-31T06:39:39.325Z"},{"id":"doi:10.2478/fas-2018-0007","name":"A Brief Review on NDT&amp;E Methods For Structural Aircraft Components","source":"crossref","abstract":"Abstract The paper presents a summary of non-destructive testing and evaluation (NDT&amp;E) methods applied in inspections of structural aircraft components. This brief review covers the most commonly applied methods such as visual and penetrant inspections, tap-testing, eddy current inspections, shearography, thermography, acoustic emission testing, radiographic and tomographic inspections, and ultrasonic inspections. The general operating principles of these methods as well as their main advantages, limitations and application areas are described below.","url":"https://doi.org/10.2478/fas-2018-0007","authors":["Angelika Wronkowicz-Katunin"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2019-07-20T05:31:44Z","doi":"10.2478/fas-2018-0007","addedAt":"2026-08-31T06:39:39.325Z","updatedAt":"2026-08-31T06:39:39.325Z"},{"id":"doi:10.2514/3.46867","name":"Wing rock analysis of slender delta wings - Review and extension","source":"crossref","abstract":"","url":"https://doi.org/10.2514/3.46867","authors":["Lars E. Ericsson"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2008-06-05T21:08:28Z","doi":"10.2514/3.46867","addedAt":"2026-08-31T06:39:39.325Z","updatedAt":"2026-08-31T06:39:39.325Z"},{"id":"doi:10.20919/9780995786233","name":"Gatwick Airport Arrivals Review: Perception of Aircraft Height and Noise","source":"crossref","abstract":"","url":"https://doi.org/10.20919/9780995786233","authors":["Memoli Gianluca"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2018-03-27T08:15:23Z","doi":"10.20919/9780995786233","addedAt":"2026-08-31T06:39:39.325Z","updatedAt":"2026-08-31T06:39:39.325Z"},{"id":"doi:10.1108/eb034484","name":"Service from Field","source":"crossref","abstract":"FOR thirty years Field Aircraft Services , with sister companies in South Africa and Canada, has been one of the leading British aviation support organisations. Last year marked a significant step forward in their expansion programme when three of their divisions were concentrated at Croydon.","url":"https://doi.org/10.1108/eb034484","authors":["Molly Neal"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2014-11-12T16:59:01Z","doi":"10.1108/eb034484","addedAt":"2026-08-31T06:39:39.325Z","updatedAt":"2026-08-31T06:39:39.325Z"},{"id":"doi:10.2514/3.58780","name":"All-Weather Automatic Landing Concepts and Operations: Review of Aerospatiale Experience","source":"crossref","abstract":"","url":"https://doi.org/10.2514/3.58780","authors":["Y. Negre"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2008-06-06T19:46:26Z","doi":"10.2514/3.58780","addedAt":"2026-08-31T06:39:39.325Z","updatedAt":"2026-08-31T06:39:39.325Z"},{"id":"doi:10.21236/ad0298331","name":"AIRCRAFT DETECTABILITY AND VISIBILITY: 6. A QUALITATIVE REVIEW AND ANALYSIS OF THE UTILITY OF FLUORESCENT PAINT FOR INCREASING AIRCRAFT DETECTABILITY AND CONSPICUITY","source":"crossref","abstract":"","url":"https://doi.org/10.21236/ad0298331","authors":["A. I. SIEGEL","R. LANTERMAN"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2017-09-15T17:11:42Z","doi":"10.21236/ad0298331","addedAt":"2026-08-31T06:39:39.325Z","updatedAt":"2026-08-31T06:39:39.325Z"},{"id":"doi:10.21203/rs.3.rs-9271663/v1","name":"CFD Analysis of Supersonic Flow on Aircraft Wing","source":"crossref","abstract":"Abstract The revival of sustainable supersonic transport requires wing designs that minimize wave drag while maintaining lift efficiency at cruise conditions. This study conducts a comprehensive parametric CFD analysis of the NACA 66–206 airfoil (6% thickness) in supersonic flow, varying Mach number (M ∞ = 2.0–3.0), angle of attack (α = 0°–8°), and leading-edge sweep (Λ = 0°–60°) at altitudes of 35,000 ft and 45,000 ft. High-fidelity RANS simulations using ANSYS Fluent with the SST k-ω turbulence model capture shock-boundary layer interactions accurately. Results show sweep reduces wave drag by up to 52% at Λ = 60°, with a 25% improvement in lift-to-drag ratio at moderate sweep angles (Λ ≈ 30°–45°). The supersonic similarity parameter K = α √(M∞² – 1) cos Λ collapses force coefficients within 4% scatter for Λ ≤ 45°, but deviations increase at higher sweep due to three-dimensional relief effects and viscous cross-flow. Detailed flow-field analysis reveals non-intuitive shock weakening mechanisms at high sweep, including reduced effective normal Mach number and spanwise pressure relief. These findings extend classical supersonic theory with modern viscous CFD, providing a validated aerodynamic database for preliminary optimization of next-generation supersonic wings.","url":"https://doi.org/10.21203/rs.3.rs-9271663/v1","authors":["Favour Ojiaku","Atma Prakash"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-04-07T14:17:03Z","doi":"10.21203/rs.3.rs-9271663/v1","addedAt":"2026-08-31T06:39:39.325Z","updatedAt":"2026-08-31T06:39:39.325Z"},{"id":"doi:10.21236/ada372899","name":"Army Aircraft Safety Performance Review","source":"crossref","abstract":"","url":"https://doi.org/10.21236/ada372899","authors":["DIRECTOR ARMY SAFETY OFFICE WASHINGTON DC"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2017-08-25T13:07:22Z","doi":"10.21236/ada372899","addedAt":"2026-08-31T06:39:39.325Z","updatedAt":"2026-08-31T06:39:39.325Z"},{"id":"doi:10.1111/ina.12974/v1/review2","name":"Review for \"Transport and dispersion of tracers simulating COVID‐19 aerosols in passenger aircraft\"","source":"crossref","abstract":"","url":"https://doi.org/10.1111/ina.12974/v1/review2","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2021-12-18T16:00:50Z","doi":"10.1111/ina.12974/v1/review2","addedAt":"2026-08-31T06:39:39.325Z","updatedAt":"2026-08-31T06:39:39.325Z"},{"id":"doi:10.2307/1115227","name":"Damage Liability in Aircraft Cases","source":"crossref","abstract":"","url":"https://doi.org/10.2307/1115227","authors":["Arthur L. Newman"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2006-04-25T23:55:04Z","doi":"10.2307/1115227","addedAt":"2026-08-31T06:39:39.325Z","updatedAt":"2026-08-31T06:39:39.325Z"},{"id":"doi:10.1108/ilt-08-2024-0300/v1/review1","name":"Review for \"Analytical study on deposits of the aircraft engine piston\"","source":"crossref","abstract":"","url":"https://doi.org/10.1108/ilt-08-2024-0300/v1/review1","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-11-12T16:16:24Z","doi":"10.1108/ilt-08-2024-0300/v1/review1","addedAt":"2026-08-31T06:39:39.325Z","updatedAt":"2026-08-31T06:39:39.325Z"},{"id":"doi:10.1111/ele.14452/v2/review1","name":"Review for \"Frequency‐dependent tolerance to aircraft disturbance drastically alters predicted impact on shorebirds\"","source":"crossref","abstract":"","url":"https://doi.org/10.1111/ele.14452/v2/review1","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-06-11T17:10:05Z","doi":"10.1111/ele.14452/v2/review1","addedAt":"2026-08-31T06:39:39.325Z","updatedAt":"2026-08-31T06:39:39.325Z"},{"id":"doi:10.20944/preprints202502.2173.v1","name":"A Review of Detect and Avoid Standards for Unmanned Aircraft Systems","source":"crossref","abstract":"When operating an unmanned aircraft system within the specific category beyond Air Risk Class a or within the certified category, a detect and avoid system is required in order to mitigate the risk of colliding with manned aircraft. To demonstrate compliance with the regulatory requirements, several standards have been developed which propose a range of technologies and requirements for different operational environments. This paper represents an entry point for understanding the key aspects of this application area. Important concepts, like remain well clear, collision avoidance, and encounter modelling, are elucidated. Furthermore, available standards for detect and avoid systems for unmanned aircraft are presented. The introduced documents are analyzed and summarized with respect to their applicability, their scope, and their major characteristics. Further, a comparison between the standards is given where possible. Some documents describe the system and the corresponding requirements in its entirety, while others focus on equipment and component requirements. Nevertheless, the presented standards are sufficient to cover a wide range of detect and avoid applications. Essential aspects of these standards are listed in a condensed manner, enabling the reader to choose a suitable standard for a given operation.","url":"https://doi.org/10.20944/preprints202502.2173.v1","authors":["Marcel Riedel"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-03-03T03:06:51Z","doi":"10.20944/preprints202502.2173.v1","addedAt":"2026-08-31T06:39:39.325Z","updatedAt":"2026-08-31T06:39:39.325Z"},{"id":"doi:10.1017/cbo9780511801631.020","name":"Beam Bending and Torsion Review Questions","source":"crossref","abstract":"","url":"https://doi.org/10.1017/cbo9780511801631.020","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2012-06-15T17:23:26Z","doi":"10.1017/cbo9780511801631.020","addedAt":"2026-08-31T06:39:39.325Z","updatedAt":"2026-08-31T06:39:39.325Z"},{"id":"doi:10.1017/cbo9780511801631.013","name":"Parts I and II Review Questions","source":"crossref","abstract":"","url":"https://doi.org/10.1017/cbo9780511801631.013","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2012-06-15T17:23:26Z","doi":"10.1017/cbo9780511801631.013","addedAt":"2026-08-31T06:39:39.325Z","updatedAt":"2026-08-31T06:39:39.325Z"},{"id":"doi:10.2307/3475615","name":"Torts: Aircraft: Trespass by Aeroplane","source":"crossref","abstract":"","url":"https://doi.org/10.2307/3475615","authors":["R. L. B."],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2006-11-16T01:45:25Z","doi":"10.2307/3475615","addedAt":"2026-08-31T06:39:39.325Z","updatedAt":"2026-08-31T06:39:39.325Z"},{"id":"doi:10.2514/6.2023-0032","name":"Drag Reduction Techniques for eVTOL Configuration with Shrouded Rotors","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2023-0032","authors":["Wanzheng Zheng","Jason M. Merret"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-01-20T20:11:41Z","doi":"10.2514/6.2023-0032","addedAt":"2026-08-31T06:39:39.325Z","updatedAt":"2026-08-31T06:39:39.325Z"},{"id":"doi:10.1111/ina.12974/v2/review1","name":"Review for \"Transport and dispersion of tracers simulating COVID‐19 aerosols in passenger aircraft\"","source":"crossref","abstract":"","url":"https://doi.org/10.1111/ina.12974/v2/review1","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2021-12-18T16:00:50Z","doi":"10.1111/ina.12974/v2/review1","addedAt":"2026-08-31T06:39:39.325Z","updatedAt":"2026-08-31T06:39:39.325Z"},{"id":"doi:10.21203/rs.3.rs-5956020/v1","name":"Optimized Aircraft Wing Design for Subsonic Flow Regimes","source":"crossref","abstract":"Abstract Reducing aircraft weight is vital for improving operational efficiency and lowering fuel consumption. This study explores topological optimization (TO) for aircraft wings, focusing on material redistribution to achieve lightweight and structurally efficient designs. Using computational tools, an aluminium wing was optimized, resulting in a 41% weight reduction—from 1.23 kg to 0.72 kg—without compromising structural integrity. The findings demonstrate the potential for Topological Optimization to enhance the performance, reduce costs, and streamline material use in manufacturing. The integration of TO with aerodynamic analysis highlights its capability to redefine traditional design processes, paving the way for innovative solutions in aerospace engineering.","url":"https://doi.org/10.21203/rs.3.rs-5956020/v1","authors":["Aayushman Banerjee","Sumit Taneja"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-02-17T08:30:07Z","doi":"10.21203/rs.3.rs-5956020/v1","addedAt":"2026-08-31T06:39:39.325Z","updatedAt":"2026-08-31T06:39:39.325Z"},{"id":"doi:10.2514/6.2023-3593","name":"Inverse Machine Learning Prediction for Optimal Tilt-Wing eVTOL Takeoff Trajectory","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2023-3593","authors":["Shuan-Tai Yeh","Guirong Yan","Xiaosong Du"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-06-08T15:36:49Z","doi":"10.2514/6.2023-3593","addedAt":"2026-08-31T06:39:39.325Z","updatedAt":"2026-08-31T06:39:39.325Z"},{"id":"doi:10.54941/ahfe1004340","name":"Flight Training Research Paving the Path for Future eVTOL Pilots","source":"crossref","abstract":"At the dawn of Urban Air Mobility (UAM), namely the introduction of eVTOL (electric Vertical Take-off &amp; Landing) vehicles, we have been pioneering in designing a certifiable flight training programme for those pilots who will be the first in the world to operate such vehicles.This paper will discuss our training design path we pursued, the research and development work behind it and finally the resulting training design. Emphasis is laid on the analysis of the training needs, our design approach based on human-factors research and development, the requirements for the design of new flight simulators, and how a close cooperation with OEMs and aviation authorities made us validate this flight training programme course, which will prepare future eVTOL pilots for a safe and sustainable operation in Urban Air Mobility in just one year from now.","url":"https://doi.org/10.54941/ahfe1004340","authors":["Frank Rister","Nils Bartling"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-10-30T22:27:18Z","doi":"10.54941/ahfe1004340","addedAt":"2026-08-31T06:39:39.325Z","updatedAt":"2026-08-31T06:39:39.325Z"},{"id":"doi:10.2139/ssrn.5086293","name":"Critical Review of Laws Regulating Aircraft Engine Pollution in Nigeria","source":"crossref","abstract":"Aircraft engine pollution is a complex issue in the international, regional and national space, and its regulation is somewhat challenging. The reason is that aircraft emission is transboundary in nature and scope, and the international regulatory authority has come under criticism as to its sectorial regulatory approach. This paper looks at the regulation of pollution arising from aircraft engines in Nigeria. It aims to evaluate the laws responsible for regulating aircraft engine pollution in Nigeria. The paper found that the laws regulating aircraft engine pollution in Nigeria are on certification of aircraft engines, and nothing more. It also discovered that Nigeria does not have a carbon emission reduction plan apart from the International Civil Aviation Organisation (ICAO) Carbon Offsetting and Reduction Scheme for International Aviation (CORSIA). There is also no action plan on reducing the impact of aircraft engine on climate change. This paper concludes with a call on Nigeria to synergize and institutionalize a regulatory framework on pollutions arising from aircraft engine.","url":"https://doi.org/10.2139/ssrn.5086293","authors":["Kate Andrew Nwosi"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-01-17T08:45:23Z","doi":"10.2139/ssrn.5086293","addedAt":"2026-08-31T06:39:39.325Z","updatedAt":"2026-08-31T06:39:39.325Z"},{"id":"doi:10.1017/cbo9780511801631.031","name":"Parts IV and V Review Questions","source":"crossref","abstract":"","url":"https://doi.org/10.1017/cbo9780511801631.031","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2012-06-15T17:23:26Z","doi":"10.1017/cbo9780511801631.031","addedAt":"2026-08-31T06:39:39.325Z","updatedAt":"2026-08-31T06:39:39.325Z"},{"id":"doi:10.2514/6.2019-3005","name":"Concept of a Logistics, Air Launch, and Recovery (LALAR) eVTOL Platform","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2019-3005","authors":["Yu Ito","Mari Hayashida","Hiroyuki Yasuda"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2019-06-15T13:37:16Z","doi":"10.2514/6.2019-3005","addedAt":"2026-08-31T06:39:39.325Z","updatedAt":"2026-08-31T06:39:39.325Z"},{"id":"doi:10.2514/6.2023-1724","name":"Performance and Rotor-Body Interactions of Novel eVTOL in Moderate-Speed Cruise","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2023-1724","authors":["Konstantin Matveev","Kian Conroy","Stephen Tibbitts"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-01-21T01:55:28Z","doi":"10.2514/6.2023-1724","addedAt":"2026-08-31T06:39:39.325Z","updatedAt":"2026-08-31T06:39:39.325Z"},{"id":"doi:10.2514/5.9781600865206.0123.0137","name":"Review of Theory and Methods for the Prediction of Ground Effects on Aircraft Noise Propagation","source":"crossref","abstract":"","url":"https://doi.org/10.2514/5.9781600865206.0123.0137","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2012-09-14T19:44:00Z","doi":"10.2514/5.9781600865206.0123.0137","addedAt":"2026-08-31T06:39:39.325Z","updatedAt":"2026-08-31T06:39:39.325Z"},{"id":"doi:10.1111/ele.14452/v1/review1","name":"Review for \"Frequency‐dependent tolerance to aircraft disturbance drastically alters predicted impact on shorebirds\"","source":"crossref","abstract":"","url":"https://doi.org/10.1111/ele.14452/v1/review1","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-06-11T17:10:05Z","doi":"10.1111/ele.14452/v1/review1","addedAt":"2026-08-31T06:39:39.325Z","updatedAt":"2026-08-31T06:39:39.325Z"},{"id":"doi:10.21203/rs.3.rs-515674/v1","name":"Investigation on Aircraft-store Compatibility Criteria of External Store Separation","source":"crossref","abstract":"Abstract The evaluation of aircraft-store compatibility on external store separation is a key issue in the separation system of vehicle design. Firstly, the aircraft-store compatibility criterion of an external store separation is put forward, and then the criterion is converted to an unequal relationship between velocity and acceleration in vertical displacement and pitch angle based on the constant force assumption, which is validated by the test result of wing pylon finned store model (WPFS). The three-dimensional compressible Reynolds average N-S equation and rigid body six-degree-of-freedom motion equation (6-DOF) are solved by using unstructured dynamic overlap grid technology, to obtain the kinematic parameters of the external separation. Finally, the most dangerous point M on the tail of the external store is selected to verify the aircraft-store separation criterion. The results show that the kinematic parameters of the most dangerous point M on the tail wing of the store fall in the safe separation area, which means that the complete separated process is safe.","url":"https://doi.org/10.21203/rs.3.rs-515674/v1","authors":["Wei Song"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2021-05-19T20:12:13Z","doi":"10.21203/rs.3.rs-515674/v1","addedAt":"2026-08-31T06:39:39.325Z","updatedAt":"2026-08-31T06:39:39.325Z"},{"id":"doi:10.2322/astj.20.138","name":"Proposal of Hybrid Development Process Suitable for Electric Vertical Take-Off and Landing (eVTOL) Vehicle","source":"crossref","abstract":"","url":"https://doi.org/10.2322/astj.20.138","authors":["Nobuo Kishi","Nozomu Kogiso","Takakage Arai"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2021-12-07T22:09:09Z","doi":"10.2322/astj.20.138","addedAt":"2026-08-31T06:39:39.325Z","updatedAt":"2026-08-31T06:39:39.325Z"},{"id":"doi:10.3844/jastsp.2019.57","name":"Corrigendum: About Bell Helicopter FCX-001 Concept Aircraft-A Short Review","source":"crossref","abstract":"","url":"https://doi.org/10.3844/jastsp.2019.57","authors":["Florian Ion Tiberiu Petrescu","Antonio Apicella","Juan Corchado","Bilal Akash","Raffaella Aversa","Relly Victoria Petrescu"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2019-05-30T19:47:17Z","doi":"10.3844/jastsp.2019.57","addedAt":"2026-08-31T06:39:39.325Z","updatedAt":"2026-08-31T06:39:39.325Z"},{"id":"doi:10.2514/3.43735","name":"Review of marine propellers and ducted propeller propulsive devices.","source":"crossref","abstract":"","url":"https://doi.org/10.2514/3.43735","authors":["S. THURSTON","R. C. AMSLER"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2008-06-05T18:08:31Z","doi":"10.2514/3.43735","addedAt":"2026-08-31T06:39:39.325Z","updatedAt":"2026-08-31T06:39:39.325Z"},{"id":"doi:10.2514/3.44530","name":"A review of some tilt-rotor aeroelastic research at NASA-Langley","source":"crossref","abstract":"","url":"https://doi.org/10.2514/3.44530","authors":["Raymond G. Kvaternik"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2008-06-05T18:56:19Z","doi":"10.2514/3.44530","addedAt":"2026-08-31T06:39:39.325Z","updatedAt":"2026-08-31T06:39:39.325Z"},{"id":"doi:10.2514/3.44454","name":"F100 fan stall flutter problem review and solution","source":"crossref","abstract":"","url":"https://doi.org/10.2514/3.44454","authors":["James D. Jeffers","Carl E. Meece"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2008-06-05T18:52:31Z","doi":"10.2514/3.44454","addedAt":"2026-08-31T06:39:39.325Z","updatedAt":"2026-08-31T06:39:39.325Z"},{"id":"doi:10.1016/j.carbon.2015.08.100","name":"A review of the catalytic oxidation of carbon–carbon composite aircraft brakes","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.carbon.2015.08.100","authors":["M. Bevilacqua","A. Babutskyi","A. Chrysanthou"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2015-08-29T18:42:11Z","doi":"10.1016/j.carbon.2015.08.100","addedAt":"2026-08-31T06:39:39.325Z","updatedAt":"2026-08-31T06:39:39.325Z"},{"id":"doi:10.69554/fcic7962","name":"Airports and the rise of eVTOL","source":"crossref","abstract":"A new form of aircraft — electric Vertical Take-off and Landing (eVTOL) — holds the potential to upend the transportation industry. Some eVTOLs are crosses between a helicopter and a traditional aeroplane, combining the vertical take-off of helicopters with the horizontal flight of aeroplanes. Others take on a more drone-like appearance. They are the next wave in aviation innovation and are expected to be flying as soon as 2025. As with any new and evolving industry, there are a myriad of questions to be answered. Here we discuss the advent of the eVTOL industry, why airports should be paying attention, and the impacts this new form of transportation may have on airports and their functions, including eVTOL-specific energy, aviation, regulation, emergency and infrastructure needs.","url":"https://doi.org/10.69554/fcic7962","authors":["Beth Bernitt","Crawford Burden","Jan Moeller","John Sulsona"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-07-25T07:38:42Z","doi":"10.69554/fcic7962","addedAt":"2026-08-31T06:39:39.325Z","updatedAt":"2026-08-31T06:39:39.325Z"},{"id":"doi:10.1016/j.etran.2025.100480","name":"A state-of-the-art review on eVTOL thermal management: system architectures, key components and emerging technologies","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.etran.2025.100480","authors":["Zhe Li","Peng Xie","Cheng Lin","Guoyu Liu"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-09-12T07:06:55Z","doi":"10.1016/j.etran.2025.100480","addedAt":"2026-08-31T06:39:39.325Z","updatedAt":"2026-08-31T06:39:39.325Z"},{"id":"doi:10.1109/tte.2015.2426499","name":"More Electric Aircraft: Review, Challenges, and Opportunities for Commercial Transport Aircraft","source":"crossref","abstract":"","url":"https://doi.org/10.1109/tte.2015.2426499","authors":["Bulent Sarlioglu","Casey T. Morris"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2015-07-10T18:38:47Z","doi":"10.1109/tte.2015.2426499","addedAt":"2026-08-31T06:39:39.325Z","updatedAt":"2026-08-31T06:39:39.325Z"},{"id":"doi:10.1021/acsenergylett.3c02385.s001","name":"Lithium-Ion Battery Power Performance Assessment for the Climb Step of an Electric Vertical Takeoff and Landing (eVTOL) Application","source":"crossref","abstract":"","url":"https://doi.org/10.1021/acsenergylett.3c02385.s001","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-02-12T09:10:11Z","doi":"10.1021/acsenergylett.3c02385.s001","addedAt":"2026-08-31T06:39:39.325Z","updatedAt":"2026-08-31T06:39:39.325Z"},{"id":"doi:10.1109/tits.2026.3686959","name":"Optimization of Flight Paths for eVTOL Aircraft in Complex Urban Airspace","source":"openalex","abstract":"","url":"https://doi.org/10.1109/tits.2026.3686959","authors":["Hang Zhou","Feng-Yang Zhao","Yun-Kai Kou","Xiao-Bing Hu","Yunkai Kou"],"tags":["Computer science","Aeronautics","Air traffic control","Aerospace engineering","Engineering"],"confidence":0.72,"sites":["low-altitude"],"publishedDate":"2026-01-01","doi":"10.1109/tits.2026.3686959","addedAt":"2026-08-31T06:39:39.325Z","updatedAt":"2026-08-31T14:45:35.251Z"},{"id":"doi:10.2514/6.2022-0878","name":"Model Predictive Control for Distributed Electric Propulsion of eVTOL Vehicles: A Preliminary Design","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2022-0878","authors":["Zhenhua Jiang","Mehrdad Pakmehr"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2022-01-04T02:30:33Z","doi":"10.2514/6.2022-0878","addedAt":"2026-08-31T06:39:39.325Z","updatedAt":"2026-08-31T06:39:39.325Z"},{"id":"doi:10.59717/ipj.energy-use.2026.100034","name":"Thermal Environment Management of eVTOL Cabin for Future Urban Air Mobility: From Multi-dimensional Sensing to Intelligent Regulation","source":"crossref","abstract":"","url":"https://doi.org/10.59717/ipj.energy-use.2026.100034","authors":["Jiaqi Zhao","Bin Cao"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-03-27T00:24:13Z","doi":"10.59717/ipj.energy-use.2026.100034","addedAt":"2026-08-31T06:39:39.467Z","updatedAt":"2026-08-31T06:39:50.720Z"},{"id":"doi:10.1201/9781003685555-2","name":"Global Regulatory and Certification Standards for eVTOL Integration","source":"crossref","abstract":"","url":"https://doi.org/10.1201/9781003685555-2","authors":["Dimitrios Ziakkas"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-02-25T12:33:08Z","doi":"10.1201/9781003685555-2","addedAt":"2026-08-31T06:39:39.468Z","updatedAt":"2026-08-31T06:39:39.468Z"},{"id":"doi:10.1109/mspec.2026.11506033","name":"5 Questions: Jon Wagner: What it takes to Design eVTOL Motors","source":"crossref","abstract":"","url":"https://doi.org/10.1109/mspec.2026.11506033","authors":["Elan Head"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-05-04T19:36:44Z","doi":"10.1109/mspec.2026.11506033","addedAt":"2026-08-31T06:39:39.468Z","updatedAt":"2026-08-31T06:39:39.468Z"},{"id":"doi:10.2139/ssrn.6795471","name":"Safety-aware eVTOL Trajectory Planning in Urban Canyon Environments: A Knowledge-Guided Fuzzy Double DQN Approach","source":"crossref","abstract":"Safety-aware electric vertical takeoff and landing (eVTOL) aircraft trajectory planning in dense urban canyon environments is challenging due to complex geometric constraints and limited maneuvering space. Traditional heuristic and sampling-based planners struggle with high-dimensional 3-D environments, while purely data-driven reinforcement learning methods often lack a structured way to incorporate explicit geometric safety information. To bridge this gap, this paper proposes a Knowledge-Guided Fuzzy Double DQN (KF-DDQN) approach for voxel-level eVTOL trajectory planning with clearance-based fuzzy guidance. In the proposed method, Double Deep Q-Network (DDQN) serves as the reward-driven value-learning backbone, coupled with a fuzzy inference module that maps building-clearance constraints into action-wise safety guidance values. By integrating these guidance values into action selection and target-value formulation, the planner balances the long-term task performance with local obstacle avoidance. Experiments in procedurally generated 3-D voxel urban canyon environments show that KF-DDQN enhances the mission success rate from 0.797 to 0.938 and reduces collision attempts by approximately 44% compared with standard DDQN, and increases the average safety clearance from 2.779 to 3.221 voxels, while maintaining comparable path efficiency. The parameter sensitivity analysis further confirms that the knowledge-weighting factor λ_fuzzy controls the trade-off between safety clearance and path efficiency. These results indicate that incorporating building-clearance-based fuzzy guidance into DDQN can improve safety-related trajectory metrics in voxelized urban canyon environments.","url":"https://doi.org/10.2139/ssrn.6795471","authors":["Jihan Li","Hao Li","Jian Liu","Huizhao Tu","Zhonghao Zhao"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-05-19T12:43:26Z","doi":"10.2139/ssrn.6795471","addedAt":"2026-08-31T06:39:39.468Z","updatedAt":"2026-08-31T06:39:39.468Z"},{"id":"doi:10.4050/f-0082-2026-0139","name":"Virtual Rainwater Management for eVTOL and Drone Applications Using PreonLab SPH Simulation","source":"crossref","abstract":"Rainwater accumulation and management are critical to the safety and reliability of drones and emerging eVTOL aircraft. Current industry practice relies on physical rain testing, such as RTCA DO-160, which defines rainfall conditions for environmental qualification but is costly and difficult to apply during early design stages. This work presents a virtual rainwater assessment framework using Smoothed Particle Hydrodynamics (SPH) simulation in PreonLab. Using an early-stage APELEON cargo drone as a reference case, the method predicts rain impingement, surface runoff, pooling, and ingress under representative rainfall conditions. The meshless SPH approach enables direct simulation of complex geometries and transient interactions without mesh generation, while also supporting rotating components and arbitrary orientations. Results identify key mechanisms governing water transport, including geometry-driven runoff, hinge-related ingress, and droplet deflection from nearby structures. While the total water accumulated on the aircraft can reach on the order of several hundred grams, the amount entering the cargo space remain small. Localized moisture exposure highlights potential durability risks. The framework enables early design evaluation, parametric studies, and rapid assessment of mitigation strategies, supporting simulation-driven development and certification preparation for advanced air mobility systems.","url":"https://doi.org/10.4050/f-0082-2026-0139","authors":["Jun Li","Andreas Fuerlinger","Juergen Schneider"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-06-10T23:06:42Z","doi":"10.4050/f-0082-2026-0139","addedAt":"2026-08-31T06:39:39.468Z","updatedAt":"2026-08-31T06:39:39.468Z"},{"id":"doi:10.2514/6.2026-0920","name":"C-Rate Constrained Path Planning for Battery Pack Health Management in Long-Term eVTOL Operations","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2026-0920","authors":["Minhyun Cho","Sounghwan Hwang","Guanlin Wu","Vishnu Vijay","Sooyung Byeon","Inseok Hwang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-01-29T07:09:51Z","doi":"10.2514/6.2026-0920","addedAt":"2026-08-31T06:39:39.468Z","updatedAt":"2026-08-31T06:39:39.468Z"},{"id":"doi:10.1201/9781003685555-5","name":"Economics of AAM—eVTOL Networks","source":"crossref","abstract":"","url":"https://doi.org/10.1201/9781003685555-5","authors":["Dimitrios Ziakkas","Jam Hartley","Amin Vadafar"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-02-25T12:33:08Z","doi":"10.1201/9781003685555-5","addedAt":"2026-08-31T06:39:39.468Z","updatedAt":"2026-08-31T06:39:39.468Z"},{"id":"doi:10.2514/6.2026-2079","name":"Aeroacoustic Validation of Flow360 for Joby’s Five-Bladed eVTOL Propeller Using Scale-Resolving Simulations and NFAC Experiments","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2026-2079","authors":["Payam Dehpanah","Qiqi Wang","Austin D. Thai","Jeremy Bain","Gregor V. Mikic"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-02-03T07:51:02Z","doi":"10.2514/6.2026-2079","addedAt":"2026-08-31T06:39:39.468Z","updatedAt":"2026-08-31T06:39:39.468Z"},{"id":"doi:10.1109/acpee69242.2026.11525104","name":"Load Characteristic Analysis of eVTOL Propulsion Motors Based on Data-Model Hybrid-Driven Approach","source":"crossref","abstract":"","url":"https://doi.org/10.1109/acpee69242.2026.11525104","authors":["Zhu Chen","Wang Huaji","Wang Huaizhi"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-05-22T19:34:30Z","doi":"10.1109/acpee69242.2026.11525104","addedAt":"2026-08-31T06:39:39.468Z","updatedAt":"2026-08-31T06:39:39.468Z"},{"id":"doi:10.1007/s42401-026-00523-9","name":"An efficient transition trajectory optimization method for tilt-rotor eVTOL under multiple constraints","source":"crossref","abstract":"","url":"https://doi.org/10.1007/s42401-026-00523-9","authors":["Songbai Xue","Yunting Ran","Yangyang Ma"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-07-16T10:59:42Z","doi":"10.1007/s42401-026-00523-9","addedAt":"2026-08-31T06:39:39.468Z","updatedAt":"2026-08-31T06:39:39.468Z"},{"id":"doi:10.3390/aerospace13050412","name":"The Necessity of a Human Pilot in eVTOL—Balancing Safety and Autonomy","source":"crossref","abstract":"With the rapid development of electric Vertical Take-Off and Landing (eVTOL) aircraft for urban air mobility, ensuring safe operation in complex low-altitude environments remains a major challenge. In particular, interactions with non-cooperative airspace users introduce uncertainties that are difficult to fully handle with current autonomous systems. To better understand these risks, a Monte Carlo simulation framework is developed to model random encounters between an eVTOL and uncontrolled unmanned aerial vehicles. The results show a relatively low collision probability of approximately 0.18%. However, a large proportion of encounters fall within an intermediate separation range of 100–200 m, indicating a high-frequency conflict region that still requires continuous monitoring and decision-making. Based on these observations, Fault Tree Analysis (FTA) is further applied to evaluate system-level safety under different operational architectures, incorporating revised assumptions on human reliability and system interactions. The results suggest that the inclusion of human pilots can contribute to reducing the probability of catastrophic failure compared with fully autonomous configurations, particularly in uncertain and non-cooperative scenarios. These findings suggest that, although full autonomy is a long-term goal, current intelligent systems still face limitations in dealing with uncertain and non-cooperative scenarios in urban airspace. In such situations, human operators can provide additional situational awareness and flexible decision-making, improving overall system robustness. Overall, a phased transition toward full autonomy, starting from a human–machine collaborative approach, appears to be a practical path to ensure safety, support certification, and enable the deployment of eVTOL systems.","url":"https://doi.org/10.3390/aerospace13050412","authors":["Songbai Xue","Xinyue Zeng","Xiangzhang Wang","Shun Wang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-04-28T15:09:33Z","doi":"10.3390/aerospace13050412","addedAt":"2026-08-31T06:39:39.468Z","updatedAt":"2026-08-31T06:39:39.468Z"},{"id":"doi:10.4050/f-0082-2026-0169","name":"Computational Performance Analysis of Impact Dampers in Vibration Control of eVTOL Booms","source":"crossref","abstract":"Electric vertical takeoff and landing (eVTOL) aircraft have rapidly emerged as a potential promising solution for sustainable and scalable urban air mobility. These vehicles are at a crucial stage of development, with sub-scale and full-scale flight test campaigns already underway. In forward flight, critical structural components of these variable RPM rotary wing aircraft can experience strong time varying aerodynamic loads. These components are lightweight, stiff, and often have very little intrinsic damping. Thus, from a life-cycle perspective, vibratory strains are of significant concern. This work investigates the use of Impact Dampers (IDs) in attenuating the bending and torsional response of a characteristic eVTOL boom. A computational reduced order model of an ID is developed using the Hunt-Crossley nonlinear contact model and linear beam finite elements. Predicted damper performance is compared with prior experimental measurements. Parametric studies are performed by varying key damper design variables, and predicted trends are shown to be consistent with experimentally observed behavior. The IDs attenuated the system structural response at resonance by 60.7% in bending and 52.1% in torsion, for a 5% mass penalty. Building on works presented at the 80th and 81st Vertical Flight Society Annual Forums, this publication is a next step towards establishing IDs as a viable multi-modal passive vibration control device in variable RPM multirotor vehicles.","url":"https://doi.org/10.4050/f-0082-2026-0169","authors":["Siddhant Sandeep Bapat","Edward Smith","Nicholas Vlajic"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-06-10T23:06:42Z","doi":"10.4050/f-0082-2026-0169","addedAt":"2026-08-31T06:39:39.468Z","updatedAt":"2026-08-31T06:39:39.468Z"},{"id":"doi:10.4050/jahs.71.042006","name":"Minimum Energy Automatic Flight Control Design for eVTOL Transition Phases","source":"crossref","abstract":"The transition phase of eVTOL aircraft poses a challenge in balancing energy efficiency, stability, handling, and ride qualities. This study develops and evaluates an automatic flight control system designed to minimize energy consumption while ensuring robust dynamic performance throughout the transition. The methodology is demonstrated using the Aston Martin Volante Vision as a benchmark vectored-thrust eVTOL configuration. The control architecture implements a hybrid response type combining translational rate command below 5 kt and acceleration command speed hold above 5 kt, with control allocation dynamically adjusted based on airspeed and propeller tilt angle. Stability analysis reveals surge mode instability at high tilt angles due to unstable speed stability derivatives, stabilized through carefully tuned feedback control. The system demonstrates Level 1 handling qualities against bandwidth, quickness, and disturbance rejection criteria when evaluated against MIL-DTL-32742 and MIL-STD-1797B standards. Simulation results verify the control system's ability to maintain precise acceleration/deceleration rates and attitude control while ensuring passenger comfort through limited pitch excursions. The control strategy achieves minimum energy transitions by locking propeller tilt angles to optimal schedules while avoiding excessive hub moments. Flight-test maneuvers developed specifically for conversion phases confirm the system's capability to execute efficient transitions within defined performance boundaries. This research establishes a framework for eVTOL flight control systems that balance energy efficiency with robust performance across diverse flight regimes.","url":"https://doi.org/10.4050/jahs.71.042006","authors":["Namuk Kang","Linghai Lu","James Whidborne"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-07-01T01:05:19Z","doi":"10.4050/jahs.71.042006","addedAt":"2026-08-31T06:39:39.468Z","updatedAt":"2026-08-31T06:39:39.468Z"},{"id":"doi:10.4050/f-0082-2026-0272","name":"Operational Range Extension of a Multi-Passenger Lift+Cruise eVTOL Air Taxi","source":"crossref","abstract":"This study evaluates the impact of range extension on gross takeoff weight (GTOW) and energy cost for the NASA Lift+Cruise eVTOL configuration under present and near-term battery technology limitations. A baseline 8,210 lb, 6-passenger vehicle, originally designed for a 75-mile mission at 400 Wh/kg battery energy density, is shown to achieve only 15 miles at a more realistic 200 Wh/kg, largely due to the 20-minute SFAR reserve, which accounts for 64% of total onboard energy. To quantify the penalties of range extension, three sizing strategies are examined: fixed GTOW with payload trade-offs, fixed-geometry overloading, and fully co-scaled vehicle resizing. The co-scaled configurations reveal a strong nonlinear GTOW growth driven by an \"adding battery to carry battery\" effect, in which increases in GTOW necessitate heavier structure and propulsion, leading to a practical feasibility ceiling near 45 miles. Energy cost per payload-mile is found to be non-monotonic, reaching a minimum near 20-25 miles before increasing due to compounding weight penalties, contrary to trends predicted by fixed-weight analyses. Significant off-design penalties are also observed; operating a 40-mile aircraft on a 10-mile mission incurs a 72% energy cost increase relative to a co-scaled vehicle for 10 miles. Increasing battery energy density by 22.5% (to 245 Wh/kg) reduces the 6-passenger 40-mile design GTOW by 33% (from 13,712 lb to 9,187 lb) and shifts the optimal energy cost point outward to 30 miles. Ultimately, battery energy density is identified as the dominant parameter dictating the vehicle size, weight, performance, and the fundamental operational feasibility of UAM eVTOLs.","url":"https://doi.org/10.4050/f-0082-2026-0272","authors":["Ashutosh Chandravanshi","Farhan Gandhi","Anubhav Halder"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-06-10T23:06:42Z","doi":"10.4050/f-0082-2026-0272","addedAt":"2026-08-31T06:39:39.468Z","updatedAt":"2026-08-31T06:39:39.468Z"},{"id":"doi:10.1109/ichms69701.2026.11602174","name":"Attention-Based Deep Reinforcement Learning for eVTOL Visual Landing Assistance in Unstructured Environments","source":"crossref","abstract":"","url":"https://doi.org/10.1109/ichms69701.2026.11602174","authors":["Wentao Song","Yuhan Li","Honglan Wu","Youchao Sun","Yumeng Ye"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-07-15T20:02:01Z","doi":"10.1109/ichms69701.2026.11602174","addedAt":"2026-08-31T06:39:39.468Z","updatedAt":"2026-08-31T06:39:39.468Z"},{"id":"doi:10.2139/ssrn.6038629","name":"Integrated HSR–eVTOL Modelling for Sustainable Logistics under China’s Dual-Carbon Strategy","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.6038629","authors":["Ding Liu","Tong Zhu","Jin Zhang","Nieyangzi Liu","Mark Ching Pong Poo","Yui-yip Lau"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-01-08T02:39:19Z","doi":"10.2139/ssrn.6038629","addedAt":"2026-08-31T06:39:39.468Z","updatedAt":"2026-08-31T06:39:39.468Z"},{"id":"doi:10.4050/f-0082-2026-0208","name":"A Multi-Fidelity Approach for Improving Modeling of eVTOL Rotor Noise","source":"crossref","abstract":"A methodology was developed and validated to predict total noise from a 1/5th scale eVTOL rotor in hover by coupling 2D-RANS airfoil simulations with the comprehensive code, CHARM, for rotor loading, the acoustic code, PSU-WOPWOP, for tonal noise, and the broadband noise code, UCD-QuietFly, for broadband noise prediction. Improved sectional 2D aerodynamic inputs obtained from 2D-RANS simulations were used throughout the framework, replacing XFOIL-derived inputs to enhance the prediction accuracy of low Reynolds-number effects such as transition and laminar separation bubbles. Predictions were validated against measurements at Virginia Tech. Results indicate that turbulence model selection influences local boundary-layer development and sectional aerodynamic loading, producing modest differences in tonal noise at 4000 RPM (first BPF) and spectral differences of approximately 4 dB in broadband noise, while integrated OASPL shows slight sensitivity to turbulence model choice. At 2000 RPM, broadband noise dominates the total SPL, with transitional models predicting thinner boundary layers and reduced high-frequency trailing-edge noise. In addition, high-fidelity 3D-DDES simulations performed in OpenFOAM capture the mid-frequency noise content that is underpredicted by CHARM. Overall, the combined mid-fidelity broadband noise results and high-fidelity mid-frequency range noise results provide improved agreement with experimental spectra and demonstrate an effective approach for eVTOL rotor noise prediction.","url":"https://doi.org/10.4050/f-0082-2026-0208","authors":["Daniella Bezuidenhout","Vladimir Golubev","Anastasios Lyrintzis","Michael Marques"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-06-10T23:06:42Z","doi":"10.4050/f-0082-2026-0208","addedAt":"2026-08-31T06:39:39.468Z","updatedAt":"2026-08-31T06:39:39.468Z"},{"id":"doi:10.2139/ssrn.6592900","name":"Multi-Dimensional Evaluation of Urban Air Mobility of eVTOL Airspace Configurations to Optimize Operational Risk, Efficiency, and Capacity","source":"crossref","abstract":"Urban Air Mobility (UAM) is expected to enable high-density low-altitude operations of electric vertical take-off and landing (eVTOL) aircraft, but the associated risks depend strongly on the chosen urban airspace structure. This study applies an integrated Analytic Hierarchy Process (AHP). Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) approach to evaluate six airspace structure alternatives (Full Mix, Tubes, Zones, Layers, Corridors, and Skylanes) against nine risk-relevant criteria: operational risk (C1), security (C2), third-party risk (C3), time and energy efficiency (C4), social impact (C5), operating range (C6), accuracy requirements (C7), airspace utilization (C8), and airspace capacity (C9). AHP results show acceptable consistency (CR = 0.096) and indicate that accuracy requirements (w = 0.235) are the most influential criterion, followed by third-party risk (w = 0.173) and security (w = 0.157). TOPSIS ranking identifies layered airspace as the lowest-risk option (closeness coefficient = 0.433), followed by full-mix (0.188), skylanes (0.151), corridors (0.125), tubes (0.052), and zones (0.051). The findings suggest that structured airspace, particularly layered designs, provides stronger risk controllability for early-stage UAM deployment, while more flexible concepts require higher capability in navigation accuracy, monitoring, and enforcement to achieve comparable safety performance","url":"https://doi.org/10.2139/ssrn.6592900","authors":["Devie  Anggraeni Hadi","Mohammed  Ali Berawi","Bambang Susantono"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-04-17T03:54:36Z","doi":"10.2139/ssrn.6592900","addedAt":"2026-08-31T06:39:39.468Z","updatedAt":"2026-08-31T14:45:35.252Z"},{"id":"doi:10.1201/9781003685555-8","name":"Scaling and Adaptability of AAM—eVTOL Networks","source":"crossref","abstract":"","url":"https://doi.org/10.1201/9781003685555-8","authors":["Dimitrios Ziakkas","Debra Henneberry","Amin Vadafar"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-02-25T12:33:08Z","doi":"10.1201/9781003685555-8","addedAt":"2026-08-31T06:39:39.468Z","updatedAt":"2026-08-31T14:45:35.252Z"},{"id":"doi:10.1201/9781003685555-4","name":"Human Factors, Training, and Licensing in eVTOL Operations","source":"crossref","abstract":"","url":"https://doi.org/10.1201/9781003685555-4","authors":["Dimitrios Ziakkas","Debra Henneberry","Amin Vadafar"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-02-25T12:33:08Z","doi":"10.1201/9781003685555-4","addedAt":"2026-08-31T06:39:39.468Z","updatedAt":"2026-08-31T14:45:35.252Z"},{"id":"doi:10.4050/f-0082-2026-0004","name":"Application of the Actuator Line Method Coupled with the Lattice Boltzmann Method for Prediction of eVTOL Downwash/Outwash","source":"crossref","abstract":"This study develops an efficient framework coupling the Lattice Boltzmann Method with the Actuator Line Method to evaluate the unsteady downwash/outwash of eVTOL aircraft. By incorporating a modified Prandtl loss function with geometric smearing correction, the framework accurately predicts velocity profiles and preserves unsteady vortices at lower computational costs than conventional RANS-based simulations. Analyzing three distinct eVTOL configurations sized for identical payload missions reveals that higher disk loading and multi-rotor interactions generate highly asymmetric, localized jet-like outwash structures, contrasting with the symmetric ground-level footprint of single rotor designs. Utilizing a 95th percentile velocity metric, transient peak hazards breach the regulated vertiport Safety Area boundary, extending up to 1.65 times the prescribed baseline limit. These findings demonstrate that time-averaged metrics underestimate physical hazards, highlighting the necessity for future guidelines to mandate configuration specific evaluations utilizing high-resolution unsteady flow data and robust statistical processing.","url":"https://doi.org/10.4050/f-0082-2026-0004","authors":["Juneyoung Lim","Kwanjung Yee"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-06-10T23:06:42Z","doi":"10.4050/f-0082-2026-0004","addedAt":"2026-08-31T06:39:39.468Z","updatedAt":"2026-08-31T06:39:39.468Z"},{"id":"doi:10.2514/6.2026-2891","name":"A Survey of Security Challenges and Solutions for Advanced Air Mobility and eVTOL Aircraft","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2026-2891","authors":["Mahyar Ghazanfari","Iman Sharifi","Peng Wei","Abenezer Taye","Bryan Ward","Xenofon Koutsoukos","Gautam Biswas","Mahsa Ghasemi","Vijay Gupta","Hyeong Tae Kim","Maheed Ahmed","Ufuk Topcu","Filippos Fotiadis","Alfred Chen","Junchi Lu","Isaac Amundson","Saqib Hasan","Amir Shirkhodaie","Nischal Aryal","Amer Ibrahim","Abdul Kareem Ras","Heber Herencia-Zapana","Noah W. Dahle","Abel Diaz-Gonzalez","Austin Coursey","Bryce Bjorkman","Cailani Lemieux-Mack","Robert E. Canady"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-02-03T08:40:23Z","doi":"10.2514/6.2026-2891","addedAt":"2026-08-31T06:39:39.468Z","updatedAt":"2026-08-31T06:39:39.468Z"},{"id":"doi:10.2514/6.2026-3308","name":"Semi-Analytical Modeling of Blade Wake Deficits for Propeller-Wing Interaction in eVTOL Aeroacoustics","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2026-3308","authors":["Szczepan Z. Letkiewicz","Julien Christophe","Fabio Galante","Daan van Wijk","Alessandro Zarri","Riccardo Zamponi","Hamid Sarlak"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-05-20T18:06:58Z","doi":"10.2514/6.2026-3308","addedAt":"2026-08-31T06:39:39.468Z","updatedAt":"2026-08-31T06:39:39.468Z"},{"id":"doi:10.1017/9781009399913.002","name":"Aircraft Mechanics","source":"crossref","abstract":"","url":"https://doi.org/10.1017/9781009399913.002","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-03-05T00:06:24Z","doi":"10.1017/9781009399913.002","addedAt":"2026-08-31T06:39:39.468Z","updatedAt":"2026-08-31T06:39:39.468Z"},{"id":"doi:10.1109/net-lc70284.2026.11605471","name":"Design and Analysis of Phase-Shifted Dual Three-Phase Permanent Magnet Motor for eVTOL Applications","source":"crossref","abstract":"","url":"https://doi.org/10.1109/net-lc70284.2026.11605471","authors":["Shangchong An","Quanfeng Li"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-07-21T19:11:33Z","doi":"10.1109/net-lc70284.2026.11605471","addedAt":"2026-08-31T06:39:39.468Z","updatedAt":"2026-08-31T06:39:39.468Z"},{"id":"doi:10.70767/ijetr.v3i6.1135","name":"Distributed Electronic Control Architecture and Low-Latency Electronic Information Transmission Technology for eVTOL","source":"crossref","abstract":"The distributed power units of electric vertical take-off and landing (eVTOL) aircraft impose higher requirements on control real-time performance and transmission determinism, while traditional centralized avionics systems suffer from bus delay accumulation and single-point failure risks. This paper conducts a collaborative design for distributed electronic control architecture and low-latency transmission technology: at the architectural level, it proposes a node placement strategy based on weighted graphs, multi-agent task decoupling and load balancing methods, and a triple-redundancy fault reconfiguration mechanism; at the transmission level, it designs a physical-layer scheme with shortened polar codes and cyclic redundancy check (CRC)-aided decoding, combined with time-sensitive networking (TSN) scheduling and edge-end collaborative compression; at the integration level, it constructs a co-flow conflict resolution model, mode-adaptive bandwidth allocation, and clock synchronization jitter suppression strategies. Verification results show that the proposed scheme can limit the end-to-end transmission jitter to within one percent of the control cycle.","url":"https://doi.org/10.70767/ijetr.v3i6.1135","authors":["Fubao Lv"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-08-18T05:24:53Z","doi":"10.70767/ijetr.v3i6.1135","addedAt":"2026-08-31T06:39:39.468Z","updatedAt":"2026-08-31T14:45:35.252Z"},{"id":"doi:10.1017/9781009399913.006","name":"Aircraft Performance","source":"crossref","abstract":"","url":"https://doi.org/10.1017/9781009399913.006","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-03-05T00:06:24Z","doi":"10.1017/9781009399913.006","addedAt":"2026-08-31T06:39:39.468Z","updatedAt":"2026-08-31T06:39:39.468Z"},{"id":"doi:10.1109/ceepe69795.2026.11552352","name":"A Coordinated Ripple Suppression Strategy for Two-Stage SST-Based eVTOL Charging System","source":"crossref","abstract":"","url":"https://doi.org/10.1109/ceepe69795.2026.11552352","authors":["Anqi Wang","Xiangyi Xu","Xinchi Wei","Fei Wang","Chen Xu"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-06-10T19:59:47Z","doi":"10.1109/ceepe69795.2026.11552352","addedAt":"2026-08-31T06:39:39.468Z","updatedAt":"2026-08-31T06:39:39.468Z"},{"id":"doi:10.2514/1.c038235","name":"Geometric Deep Learning for Loads Prediction of Maneuvering Aircraft","source":"crossref","abstract":"A framework based on deep learning is developed for the rapid prediction of unsteady aerodynamic loads and flowfield distributions around a full-scale, maneuvering vehicle. The framework is demonstrated for the Future Fighter Demonstrator configuration, studied within the NATO Science &amp; Technology Organisation Research Task Group 351, performing static and forced-motion maneuvers in pitch up to high angles of attack. The complexity of the problem is characterized by the dynamics of a set of vortices that form and grow in size and intensity until they break down, strongly dependent on the three-dimensional planform shape. For applicability to both structured and unstructured grids, we leverage geometric deep learning. For deployment on a large number of surface grid points, in the order of millions, we developed a multimesh scheme to operate at coarser levels of refinement. For robustness when predicting unsteady flow features, we proposed two schemes to limit the well-known pitfall of long-term error accumulation, namely a quasi-steady and a recurrent scheme. For efficiency in generating the model, training is limited to one single signal that provides sufficient coverage of the three-parameter space, namely static angle of attack, pitch motion amplitude, and frequency. Accuracy of the unsteady models is assessed on four forced-motion pitch signals and on predicting steady-state aerodynamic characteristics. We found the recurrent scheme to outperform the quasi-steady scheme across multiple error metrics. This is attributed to better capturing the flow hysteresis via inclusion of past flow information at each time step iteration.","url":"https://doi.org/10.2514/1.c038235","authors":["David Massegur","Andrea Da Ronch"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-07-17T11:06:03Z","doi":"10.2514/1.c038235","addedAt":"2026-08-31T06:39:39.468Z","updatedAt":"2026-08-31T06:39:39.468Z"},{"id":"doi:10.2139/ssrn.7122620","name":"Research on Pressure-Power Coupling Control Strategy for Hydrogen Fuel Cell Hybrid Power System in eVTOL Applications","source":"crossref","abstract":"To address the issues of pressure mismatch, low hydrogen utilization, and difficulty in balancing dynamic response and stack safety under highly dynamic loads in hydrogen fuel cell-lithium battery hybrid power systems for electric vertical takeoff and landing (eVTOL) aircraft — where existing control strategies treat anode hydrogen pressure control and power distribution as independent serial links — this paper proposes a bidirectional pressure-power coupling control strategy. Mechanism models of the fuel cell stack and hydrogen circulation system, as well as the state-space equation of hydrogen pressure, are constructed. A double-layer nested coupling control architecture with model predictive control (MPC) for predictive guidance and fuzzy decision-making is designed, establishing a bidirectional feedback closed loop between power and pressure. Research is carried out through simulation comparison under full eVTOL flight conditions and controller-in-the-loop (CIL) semi-physical verification.,The results show that the strategy limits the fuel cell load tracking error within -42 to 38 W. Compared with traditional fuzzy control, the average hydrogen utilization under full working conditions increases by 3.36%, and the total comprehensive energy consumption of the system decreases by 3.64 g. CIL verification indicates that the deviation between control commands and simulation is no more than 5.13%, the coupling logic is executed accurately, real-time performance meets aviation scenario requirements, and core operating parameters are maintained within the safe range. This strategy realizes synchronous optimization of multi-performance indexes and provides a new practical engineering scheme for the control of aviation hydrogen fuel cell hybrid power systems.","url":"https://doi.org/10.2139/ssrn.7122620","authors":["Yong Li","Pengfei Qi","Kaixuan Zhang","Sheng Chen","LiLong Zhao"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-07-15T14:37:17Z","doi":"10.2139/ssrn.7122620","addedAt":"2026-08-31T06:39:39.468Z","updatedAt":"2026-08-31T14:45:35.252Z"},{"id":"doi:10.2139/ssrn.6631979","name":"How Can Public Concerns Shape eVTOL Policy Design? A Knowledge Graph-Enhanced Large Language Model (LLM) Framework","source":"crossref","abstract":"Electric vertical take-off and landing aircraft (eVTOL) may provide faster and more flexible connections for urban and intercity trips, especially in congested metropolitan areas. Their adoption, however, depends on more than aircraft performance. Potential users must trust the service, accept its cost, and find the access and transfer process convenient enough for real travel. Although existing studies have examined eVTOL acceptance and potential demand, the link between behavioral evidence and policy design remains underdeveloped. To address this gap, this study proposes a knowledge graph-enhanced large language model (KG-enhanced LLM) framework that integrates stated preference survey data, causal network analysis, literature-based evidence, and LLM-assisted policy generation. Using survey data from six Chinese low-altitude mobility pilot cities, we construct a three-layer causal network to examine how individual characteristics, psychological perceptions, and travel-scenario attributes jointly shape eVTOL mode choice. The results show that travel cost, waiting time, and transfer distance constrain eVTOL adoption, whereas perceived convenience, perceived usefulness, income, and congestion experience increase adoption potential. Network analysis further identifies income and perceived usefulness as key leverage points in the decision system. A comparative experiment shows that the KG-enhanced LLM generates recommendations with higher evidence reliability, scenario relevance, logical coherence, and overall quality than a standalone LLM. The findings suggest that eVTOL deployment should prioritize transparent safety governance, accessible pricing, door-to-door integration, and differentiated communication across user groups. This study advances a structured approach for linking public acceptance analysis with policy design and offers methodological implications for emerging mobility systems.","url":"https://doi.org/10.2139/ssrn.6631979","authors":["Tianlin Liu","Cheng Yang","Hyungchul Chung","Manman Zhu","Ke Han","Hongliang Ding"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-04-23T01:58:42Z","doi":"10.2139/ssrn.6631979","addedAt":"2026-08-31T06:39:39.468Z","updatedAt":"2026-08-31T14:45:35.252Z"},{"id":"doi:10.2514/1.c038534","name":"Thermofluid Modeling for Next-Generation Aircraft Engine Design","source":"crossref","abstract":"This paper introduces two novel adapted polynomial-based fluid models (Adapted Methods 1 and 2) that combine the computational efficiency of simplified models (e.g., Walsh and Fletcher polynomials) with the accuracy of advanced chemical equilibrium codes (e.g., NASA’s Chemical Equilibrium and Applications). These methods incorporate dissociation and pressure effects, enabling versatile and accurate engine performance analyses for conventional and next-generation aviation fuels, including Jet-A, sustainable aviation fuels, and hydrogen. A comprehensive evaluation is conducted across multiple analysis levels, from thermodynamic state and engine station level to flight mission and engine comparison levels. Results indicate that dissociation and pressure effects significantly impact accuracy, particularly for high-temperature, low-pressure conditions. Adapted Method 2 provides accurate results at all levels while achieving a 70% reduction in computational time compared to fine-grid fluid tables. Practical recommendations are provided, highlighting the suitability of the adapted methods for mission-level optimization and comparative assessments of novel engine technologies, such as hydrogen-fueled and hybrid-electric engines.","url":"https://doi.org/10.2514/1.c038534","authors":["Marcus Wiegand","Martin Lange","Ronald Mailach"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-10-28T12:29:49Z","doi":"10.2514/1.c038534","addedAt":"2026-08-31T06:39:39.468Z","updatedAt":"2026-08-31T06:39:39.468Z"},{"id":"doi:10.1007/s11581-026-07291-8","name":"Spatiotemporal electrothermal modeling and predictive thermal regulation of solid-state batteries under high-altitude eVTOL operating conditions using deep transformer networks","source":"crossref","abstract":"","url":"https://doi.org/10.1007/s11581-026-07291-8","authors":["Natrayan Lakshmaiya"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-06-22T16:21:24Z","doi":"10.1007/s11581-026-07291-8","addedAt":"2026-08-31T06:39:39.468Z","updatedAt":"2026-08-31T14:45:35.252Z"},{"id":"doi:10.1201/9781003685555-11","name":"Global Case Studies in eVTOL Deployment and AAM Integration","source":"crossref","abstract":"","url":"https://doi.org/10.1201/9781003685555-11","authors":["Dimitrios Ziakkas","Debra Henneberry","Amin Vadafar"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-02-25T12:33:08Z","doi":"10.1201/9781003685555-11","addedAt":"2026-08-31T06:39:39.468Z","updatedAt":"2026-08-31T14:45:35.252Z"},{"id":"doi:10.4050/f-0082-2026-0276","name":"Field-to-Lab Validation of Psychoacoustic Metrics for eVTOL/UAS Community Acceptance","source":"crossref","abstract":"The increasing use and development of electric vertical takeoff and landing (eVTOL) aircraft and unmanned aerial systems (UAS) for logistics and urban mobility requires acoustic assessment methods that better correlate with human perception and community acceptance than the conventional SPL-based metrics alone. This study presents field-based psychoacoustic measurements of repeated tilt-Octorotor delivery flight operations using a binaural Head and Torso Simulator (HATS). Event segments including lateral approach, takeoff, hover, departure and landing were analyzed using A-weighted SPL, loudness, tonality, fluctuation strength, sharpness, and roughness. Results show strong repeatability across runs and event-dependent signatures within the analysis. Landing produced the highest average loudness (11.65 soneHMS) and sharpness (3.06 acum), while hovering exhibited the highest peak roughness (1.12 asper) and strong tonal persistence. Lateral approach events showed high tonality and sharpness highlighting the directional cues. These findings demonstrate that psychoacoustic metrics provide an improved interpretation of perceived annoyance and support validation workflows for future eVTOL/UAS acoustic design and certification.","url":"https://doi.org/10.4050/f-0082-2026-0276","authors":["Matthew Lutz","Wade Bray","Joshua Greenway","Jacob Sondergaard","James McClearen"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-06-10T23:06:42Z","doi":"10.4050/f-0082-2026-0276","addedAt":"2026-08-31T06:39:39.468Z","updatedAt":"2026-08-31T06:39:39.468Z"},{"id":"doi:10.1121/10.0042016","name":"On the perception of noise from a notional electric vertical take-off and landing (eVTOL) rotor in hover","source":"crossref","abstract":"Hover performance and acoustics of a 35% scale notional electric vertical take-off and landing rotor operating at moderate Reynolds numbers and Mach tip speeds below 0.4 is presented. Changes to blade count (2-bladed up to 5-bladed) are evaluated for the same blade shape and for a range of rotor collective pitch angles and rotor speeds. Increasing blade count generates substantial changes in thrust and torque at higher rotor collectives, whereas the 5-bladed rotor is only slightly more efficient than the 2-bladed rotor for the same changes in rotor collective. Changes to torque loads are also greater than changes to thrust gains as blade count increases. As for the sound field, all traditional source of noise (thickness-, loading-, and broadband-noise) are observed. When the sound field is scaled and then weighted (dBA) for human perception, the spatial topography reveals dipole-like behavior for all rotor operating conditions. A separation between tonal and broadband sources of perceived noise reveals how broadband noise is the dominant source of perceived noise for all blade number combinations at low rotor collective pitch angles. At higher rotor collectives, both tonal and broadband noise contribute equally to total perceived noise with the tonal noise contributing more for the 5-bladed rotor.","url":"https://doi.org/10.1121/10.0042016","authors":["Charles E. Tinney","John Valdez"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-01-27T13:19:50Z","doi":"10.1121/10.0042016","addedAt":"2026-08-31T06:39:39.468Z","updatedAt":"2026-08-31T06:39:39.468Z"},{"id":"doi:10.2514/5.9781624107719.0007.0050","name":"High-Altitude Long-Endurance (HALE) Sensor Aircraft","source":"crossref","abstract":"","url":"https://doi.org/10.2514/5.9781624107719.0007.0050","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-03-24T19:13:30Z","doi":"10.2514/5.9781624107719.0007.0050","addedAt":"2026-08-31T06:39:39.468Z","updatedAt":"2026-08-31T06:39:39.468Z"},{"id":"doi:10.1109/net-lc70284.2026.11605580","name":"Design of High Power Density eVTOL Drive Motor Based on Fe-Co-V Alloy","source":"crossref","abstract":"","url":"https://doi.org/10.1109/net-lc70284.2026.11605580","authors":["Shangchong An","Quanfeng Li"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-07-21T19:13:18Z","doi":"10.1109/net-lc70284.2026.11605580","addedAt":"2026-08-31T06:39:39.468Z","updatedAt":"2026-08-31T06:39:39.468Z"},{"id":"doi:10.1007/978-3-032-11556-0_14","name":"Aircraft Induction","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-032-11556-0_14","authors":["David Lapesa Barrera"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-05-01T01:11:15Z","doi":"10.1007/978-3-032-11556-0_14","addedAt":"2026-08-31T06:39:39.468Z","updatedAt":"2026-08-31T06:39:39.468Z"},{"id":"doi:10.1007/s42401-026-00499-6","name":"Topology-aware nullspace control allocation for eVTOL powertrain current protection","source":"crossref","abstract":"Abstract This paper presents a topology-aware control allocation strategy to mitigate thermal risks in electric Vertical Takeoff and Landing (eVTOL) aircraft. By integrating the powertrain architecture directly into the control design, a control allocation method is proposed that actively regulates the electrical load distribution among motors and battery packs. This method exploits the null space of the control effectiveness matrix to minimize the maximum current in both motors and battery packs without altering the primary force and moment commands. The efficacy of the current regulation algorithm is validated through comprehensive simulations on a Lift-plus-Cruise eVTOL platform. Results demonstrate that the proposed algorithm significantly reduces electrical stresses during both transient maneuvers and steady-state operations. It effectively protects the powertrain under nominal conditions and in the event of motor or battery failures. Moreover, the study characterizes the trade-offs between regulation aggressiveness and control smoothness, and discusses the priority distribution among motors and batteries. These findings offer a foundation for integrating hardware constraints into flight control laws for future eVTOLs, enabling more resilient distributed electric propulsion systems.","url":"https://doi.org/10.1007/s42401-026-00499-6","authors":["Guolong Jiang","Jiannan Zhang","Zhidong Lu","Florian Holzapfel"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-06-08T05:34:58Z","doi":"10.1007/s42401-026-00499-6","addedAt":"2026-08-31T06:39:39.468Z","updatedAt":"2026-08-31T14:45:35.252Z"},{"id":"doi:10.1017/9781009399913.014","name":"Advanced Aircraft Control","source":"crossref","abstract":"","url":"https://doi.org/10.1017/9781009399913.014","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-03-05T00:06:24Z","doi":"10.1017/9781009399913.014","addedAt":"2026-08-31T06:39:39.468Z","updatedAt":"2026-08-31T06:39:39.468Z"},{"id":"doi:10.1017/9781009399913.020","name":"Aircraft Case Studies","source":"crossref","abstract":"","url":"https://doi.org/10.1017/9781009399913.020","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-03-05T00:06:24Z","doi":"10.1017/9781009399913.020","addedAt":"2026-08-31T06:39:39.468Z","updatedAt":"2026-08-31T06:39:39.468Z"},{"id":"doi:10.1016/j.jairtraman.2026.103051","name":"Optimizing eVTOL final approaches: A scheduling and trajectory strategy for high-density urban air traffic","source":"openalex","abstract":"","url":"https://doi.org/10.1016/j.jairtraman.2026.103051","authors":["Haotian Yang","Meilong Le","Xiaocheng Liu","Liu X"],"tags":["Runway","Scheduling (production processes)","Air traffic control","Descent (aeronautics)","Computer science"],"confidence":0.72,"sites":["low-altitude"],"publishedDate":"2026-05-17","doi":"10.1016/j.jairtraman.2026.103051","addedAt":"2026-08-31T06:39:39.468Z","updatedAt":"2026-08-31T14:45:35.251Z"},{"id":"doi:10.23919/ipec-nagasaki2026-ec64663.2026.11597302","name":"Design and Evaluation of a High-Power Density Axial-Flux Motor-Propeller System for eVTOL Distributed Electric Propulsion","source":"crossref","abstract":"","url":"https://doi.org/10.23919/ipec-nagasaki2026-ec64663.2026.11597302","authors":["Yanlei Yu","Chengming Liu","Christopher H. T. Lee"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-07-16T21:48:50Z","doi":"10.23919/ipec-nagasaki2026-ec64663.2026.11597302","addedAt":"2026-08-31T06:39:39.468Z","updatedAt":"2026-08-31T06:39:39.468Z"},{"id":"doi:10.1109/ecitech69277.2026.11601450","name":"Research on SOH Prediction of eVTOL Battery Based on Mamba-Informer Adaptive Hybrid Model","source":"crossref","abstract":"","url":"https://doi.org/10.1109/ecitech69277.2026.11601450","authors":["Chengzhi Li","Zetong Wu","Weiqi Zhang","Keyi Li","Shuo Wang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-07-20T20:18:07Z","doi":"10.1109/ecitech69277.2026.11601450","addedAt":"2026-08-31T06:39:39.468Z","updatedAt":"2026-08-31T06:39:39.468Z"},{"id":"doi:10.32620/pls.2025.8.65","name":"ЗАСТОСУВАННЯ АЛГОРИТМУ САМОНАВЧАННЯ ІЗ ПІДКРІПЛЕННЯМ ТА BOID-МОДЕЛІ ДЛЯ КООРДИНАЦІЇ eVTOL-ДРОНІВ У СИСТЕМАХ БЕЗПЕКИ КРИТИЧНОЇ ІНФРАСТРУКТУРИ","source":"crossref","abstract":"В цій роботі запропоновано гібридний підхід до координації рою eVTOL-дронів у задачах захисту критичної інфраструктури. Модель поєднує класичну Boid-динаміку та багатоагентне навчання з підкріпленням (MARL), реалізоване через QMIX. Така комбінація забезпечує адаптивну зміну ролей, автономну реконфігурацію рою та стійкість до відмов окремих агентів. Для оцінювання ефективності створено унікальний сценарій “Pipeline Intrusion Response”. У межах симуляції протестовано здатність рою виявляти загрози, перебудовувати формацію та зменшувати енерговитрати в умовах турбулентності. Результати показали покращення стабільності формації, зниження кількості помилкових маневрів і 100% успішність реконфігурації","url":"https://doi.org/10.32620/pls.2025.8.65","authors":["Анна ОВЧИННИКОВА"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-01-29T16:41:46Z","doi":"10.32620/pls.2025.8.65","addedAt":"2026-08-31T06:39:39.468Z","updatedAt":"2026-08-31T14:45:35.252Z"},{"id":"doi:10.2514/1.c038318","name":"Wind-Optimal Transatlantic Route Planning for Civil Supersonic Aircraft","source":"crossref","abstract":"Renewed interest in supersonic air travel has prompted researchers to consider where next-generation civil supersonic aircraft will operate. These aircraft are expected to fly lower and slower than Concorde, meaning that prevailing winds will have a greater impact on flight duration and fuel consumption. However, nonstandard atmospheric conditions have not always been considered in recent supersonic design studies. This paper therefore quantifies the influence of the jet stream on next-generation supersonic operations between London and New York and investigates the potential benefits of wind-optimal transatlantic routing. Four notional supersonic aircraft with performance characteristics representative of concepts found in the literature are used to assess the effect of wind at different cruise Mach numbers and altitudes. For great circle routes, the assumption of standard atmospheric conditions leads to average time and fuel burn underestimates of 4–7% and 3–6%, respectively, for westbound winter flights. If aircraft deviate from the great circle to seek favorable wind conditions, statistically significant reductions in average flight time and fuel burn are possible, but this is not the case for all cruise altitudes, Mach numbers, or flight directions. Nevertheless, wind-optimal routing is presented as one strategy to help reduce the environmental impact of future supersonic aircraft.","url":"https://doi.org/10.2514/1.c038318","authors":["Mike Colling","Peter R. Thomas","Pouria Sarhadi"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-01-01T12:55:31Z","doi":"10.2514/1.c038318","addedAt":"2026-08-31T06:39:39.468Z","updatedAt":"2026-08-31T06:39:39.468Z"},{"id":"doi:10.2514/1.c038540","name":"Optimization of Aircraft Control Stick Force Using Bio-Inspired Swarm Intelligence Algorithms","source":"crossref","abstract":"For both manually and automatically controlled aircraft, it is important to keep the required control stick force within the limits of pilot effort and actuator capability. Therefore, the control surface generating the control stick force should be designed with consideration of aircraft stability and control derivatives. The control stick force can only be optimized by keeping the derivatives within their limits. However, due to the large number of coupled nonlinear aerodynamic and geometric variables affecting the control stick force, its optimization becomes a complex process. Fortunately, bio-inspired swarm algorithms are valuable candidates to deal with these complex optimization problems. In this paper, the particle swarm optimization, the ant colony optimization, the whale optimization algorithm, and the gray wolf optimizer are four bio-inspired swarm algorithms that are evaluated for optimizing aircraft control stick force requirements. The performance of these algorithms is demonstrated, and the results are validated with aerodynamic and geometric variables of a benchmark aircraft, focusing on pitch control (elevator), decoupled from other axes. It is concluded that the aircraft control stick force can be optimized by using all four swarm algorithms while maintaining the variation interval for the stability and control derivatives.","url":"https://doi.org/10.2514/1.c038540","authors":["Serdar Dündar","Harun Çelik"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-01-27T06:54:23Z","doi":"10.2514/1.c038540","addedAt":"2026-08-31T06:39:39.468Z","updatedAt":"2026-08-31T06:39:39.468Z"},{"id":"doi:10.2514/6.2026-3599","name":"High-Fidelity Simulations of eVTOL Rotor Turbulence Ingestion Noise","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2026-3599","authors":["Vadim Voropayev","Alireza Maleki","Jordan D. Mills","Stanley Ossyra","Michael Marques","Jie Hua","Anastasios S. Lyrintzis","Reda R. Mankbadi","Vladimir V. Golubev"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-05-20T18:06:58Z","doi":"10.2514/6.2026-3599","addedAt":"2026-08-31T06:39:39.468Z","updatedAt":"2026-08-31T06:39:39.468Z"},{"id":"doi:10.29327/9786527220244.1234907","name":"FEASIBILITY STUDY OF VERTIPORT IMPLEMENTATION FOR ADVANCED AIR MOBILITY AT HUMBERTO DELGADO AIRPORT USING EVTOL TECHNOLOGY","source":"crossref","abstract":"","url":"https://doi.org/10.29327/9786527220244.1234907","authors":["Maria Emilia Baltazar","Jorge Miguel dos Reis Silva","Tiago Nave"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-01-15T17:00:06Z","doi":"10.29327/9786527220244.1234907","addedAt":"2026-08-31T06:39:39.468Z","updatedAt":"2026-08-31T14:45:35.252Z"},{"id":"doi:10.1093/oed/8413957449","name":"aircraft, n.","source":"crossref","abstract":"","url":"https://doi.org/10.1093/oed/8413957449","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-07-20T21:28:51Z","doi":"10.1093/oed/8413957449","addedAt":"2026-08-31T06:39:39.468Z","updatedAt":"2026-08-31T06:39:39.468Z"},{"id":"doi:10.23940/ijpe.26.05.p1.237244","name":"Reliability Assessment of the Lift Powertrain in a Lift-Plus-Cruise eVTOL: A Solution Method for GSPN","source":"crossref","abstract":"","url":"https://doi.org/10.23940/ijpe.26.05.p1.237244","authors":["Liu Chaohui","Lu Yi","Wang Yixuan","Zhang Yu"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-05-09T02:37:36Z","doi":"10.23940/ijpe.26.05.p1.237244","addedAt":"2026-08-31T06:39:39.468Z","updatedAt":"2026-08-31T06:39:39.468Z"},{"id":"doi:10.2139/ssrn.6889844","name":"Physics-Embedded Multi-Fidelity Neural Network for Modeling a Methanol-Fueled Micro Gas Turbine in an eVTOL Range Extender","source":"crossref","abstract":"Battery-powered electric vertical takeoff and landing (eVTOL) aircraft have limited endurance due to low specific energy. Micro gas turbines used as range extenders can alleviate this limitation, but accurate and low-cost performance models for system integration and control remain difficult to obtain. The paper presents the development of a physics-embedded multi-fidelity neural network (MuFiNN) in modeling the thermal performance of a methanol-fueled micro gas turbine. The neural network model takes rotational speed and fuel flow rate as inputs, and outputs compressor outlet temperature, turbine inlet temperature, exhaust temperature, and electrical power. The MuFiNN combines a low-fidelity physics module with a high-fidelity data-driven module. The low-fidelity part solves the operating line using differentiable compressor and turbine maps from low-fidelity CFD simulations and a learnable model of the combustion chamber. The high-fidelity part learns both linear and nonlinear corrections from experimental data. An adaptive fusion mechanism assigns learnable weights to balance the two correction branches for each output variable. Hyperparameter studies on 533 quasi-steady points from a ground test show that LeakyReLU activation, two hidden layers, and 512 neurons per layer give the lowest validation loss. Compared with a purely data-driven network optimized by Bayesian search, the proposed multi-fidelity network reduces the validation loss by 73%. In addition, the root mean square errors for the prediction of turbine inlet temperature and electrical power both drop by nearly half. The MuFiNN captures rapid fluctuations in time series predictions that the purely data-driven model misses. The predicted operating lines on the compressor and turbine maps indicate a surge risk at 70% to 80% of rated speed and turbine choking above 80% speed. Contour plots of the predicted variables reveal non-monotonic temperature and power behavior with respect to speed at high fuel flows. These results provide practical guidelines for the safe operations of eVTOL range extenders.","url":"https://doi.org/10.2139/ssrn.6889844","authors":["Xiangyi Chen","Bo Luo","Jiaqi Li","Qiao Chen","Kyle Jiang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-06-06T16:38:26Z","doi":"10.2139/ssrn.6889844","addedAt":"2026-08-31T06:39:39.468Z","updatedAt":"2026-08-31T06:39:39.468Z"},{"id":"doi:10.2514/6.2026-4296","name":"Educating the Next Generation of Aeronautical Engineers Through Project-Based Learning in eVTOL Design","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2026-4296","authors":["Lucas L. Sassett","Adson A. de Paula","Duncan B. Zancanella","João Vicente R. G. Daros","Caroline C. Silva","Dinah Leite"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-06-04T17:45:42Z","doi":"10.2514/6.2026-4296","addedAt":"2026-08-31T06:39:39.468Z","updatedAt":"2026-08-31T06:39:39.468Z"},{"id":"doi:10.1017/9781009399913.010","name":"Aircraft Stability and Control","source":"crossref","abstract":"","url":"https://doi.org/10.1017/9781009399913.010","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-03-05T00:06:24Z","doi":"10.1017/9781009399913.010","addedAt":"2026-08-31T06:39:39.468Z","updatedAt":"2026-08-31T06:39:39.468Z"},{"id":"doi:10.1109/icuas69441.2026","name":"2026 International Conference on Unmanned Aircraft Systems (ICUAS)","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icuas69441.2026","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-07-14T19:39:30Z","doi":"10.1109/icuas69441.2026","addedAt":"2026-08-31T06:39:39.468Z","updatedAt":"2026-08-31T06:39:39.468Z"},{"id":"doi:10.2514/1.c038455","name":"Aileron Jam Effects on Aircraft Gliding Footprint","source":"crossref","abstract":"","url":"https://doi.org/10.2514/1.c038455","authors":["Zhiwei Chen","Yang Pei","Mengjie Zhu","Mengtao Zhang","Yuxue Ge"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-10-06T05:57:50Z","doi":"10.2514/1.c038455","addedAt":"2026-08-31T06:39:39.468Z","updatedAt":"2026-08-31T06:39:39.468Z"},{"id":"doi:10.2139/ssrn.6110069","name":"Multimodal Transformer and Monte Carlo Tree Search based Real-Time Intelligent Predictive Energy Management for Turbine Hybrid eVTOL","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.6110069","authors":["Anzhi Duan","Yue Ma","Ningkang Yang","Chongbing Zhang","Qiang Du","Shumin Ruan"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-01-21T17:37:12Z","doi":"10.2139/ssrn.6110069","addedAt":"2026-08-31T06:39:39.468Z","updatedAt":"2026-08-31T06:39:39.468Z"},{"id":"doi:10.1007/978-981-95-6988-5_67","name":"Online Four-Dimensional Trajectory Planning for eVTOL Based on Rolling Optimization","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-981-95-6988-5_67","authors":["Peng Tang","Jiaxuan Li","Chen Haibing"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-08-14T08:37:20Z","doi":"10.1007/978-981-95-6988-5_67","addedAt":"2026-08-31T06:39:39.468Z","updatedAt":"2026-08-31T06:39:39.468Z"},{"id":"doi:10.3846/aviation.2026.26073","name":"Enhancing safety and workload management in eVTOL cockpits through the assessment of pilot’s perception of HMI models","source":"crossref","abstract":"The rapid emergence of electric vertical take-off and landing (eVTOL) aircraft is expected to revolutionize Urban Air Mobility (UAM) as eVTOL enabling low-emission, point-to-point aerial transportation. The viability of these aircraft is deeply tied to the concept of Single-Pilot Operations, which places intense cognitive, operational, and decision-making loads on the pilot, particularly in dense urban environments. In this context, the Human–Machine Interface (HMI) plays a critical role as it acts as pilot’s “crew member”, effectively functioning and supporting the pilot and increasing situational awareness, workload management, and safe decision-making. This study is a combined method of research design that was implemented, combining a structured online survey and interviews among aviation professionals, including pilots, engineers and human factors specialists to understand and detect their perceptions of HMI requirements for single-pilot eVTOL operations, focusing on workload management, situational awareness, automation interaction, and trust in advanced cockpit technologies. Moreover, open-source flight simulator FlightGear was used to partially depict the results. The findings revealed that maintaining situational awareness without a co-pilot is the dominant challenge, with strong preferences for “eyes-out” displays like physical controls and Head-Up Displays in high-workload scenarios. A significant connection was found between professional expertise and trust in AI copilots. Quantitative data from the survey were analyzed using descriptive and inferential statistics (e.g., t-tests, ANOVA, correlation, regression), supported by graphical representations. The findings show the crucial importance of pilot-focused HMIs for the most important determining factors namely, the problem of maintaining Situation Awareness, multi-tasking and managing cognitive load, the pilot’s central problem without the assistance or presence of the co-pilot in the aircraft. This paper presents the Adaptive, Multimodal, Context-Aware (AMCA) HMI design framework that will benefit the future design of single-pilot eVTOL aircraft cockpits. The study provides concrete design inputs for manufacturers and regulatory and training bodies regarding the challenge of certification and operation of the newly developing Urban Air Mobility solutions.","url":"https://doi.org/10.3846/aviation.2026.26073","authors":["Iyad Alomar","Azeem Shafqat"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-03-13T07:53:00Z","doi":"10.3846/aviation.2026.26073","addedAt":"2026-08-31T06:39:39.468Z","updatedAt":"2026-08-31T06:39:39.468Z"},{"id":"doi:10.1007/978-3-032-11556-0_28","name":"Aircraft Information Security Ecosystem","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-032-11556-0_28","authors":["David Lapesa Barrera"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-04-30T23:14:08Z","doi":"10.1007/978-3-032-11556-0_28","addedAt":"2026-08-31T06:39:39.468Z","updatedAt":"2026-08-31T06:39:39.468Z"},{"id":"doi:10.4050/f-0082-2026-0121","name":"Numerical Investigation of Vortex Ring State Conditions for Archer Maker eVTOL Tilter Propeller","source":"crossref","abstract":"Electric Vertical Take-Off and Landing (eVTOL) vehicles are emerging as solutions for urban air mobility, but their operation can encounter hazardous aerodynamic conditions such as the Vortex Ring State (VRS), which causes thrust loss and intense vibrations. This study investigates VRS for the Archer Maker tilter propeller by combining numerical simulations using the mid-fidelity solver DUST and the high-fidelity solver OVERFLOW with prior experimental observations. Propeller performance is evaluated through thrust and torque evolution under various descent conditions, while flow fields in the propeller wake at different descent ratios around VRS conditions are evaluated and compared via 2D visualizations. A comparison of results reveals that both numerical approaches are capable of evaluating the performance degradation in correlation with vortex ring formation within specific descent regimes, showing slight discrepancies particularly regarding the descent ratio regime where VRS occurs. A flow field comparison with experimental data validates the multi-fidelity numerical approach, showing the capabilities of both numerical approaches to capture the flow physics mechanisms that lead to the generation of the vortex ring around the propeller disk.","url":"https://doi.org/10.4050/f-0082-2026-0121","authors":["Giovanni Droandi","Dario Isola","David Palmer","Diego Norena","Alberto Savino","Alex Zanotti"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-06-10T23:06:42Z","doi":"10.4050/f-0082-2026-0121","addedAt":"2026-08-31T06:39:39.468Z","updatedAt":"2026-08-31T06:39:39.468Z"},{"id":"doi:10.2514/6.2026-4117","name":"Simulator Evaluations of Higher Automation Autoflight Concepts for Various eVTOL Vehicle Configurations","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2026-4117","authors":["Thomas Lombaerts","Kimberlee Shish","John Kaneshige","Amber Villa","Michael Feary","Kevin Monk","Sandy Lozito","Loran Haworth","Mieczyslaw Steglinski","Elif Kurklu","Nelson Iwai","John Archdeacon","Barth Baron"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-06-04T17:45:42Z","doi":"10.2514/6.2026-4117","addedAt":"2026-08-31T06:39:39.468Z","updatedAt":"2026-08-31T06:39:39.468Z"},{"id":"doi:10.23919/ipec-nagasaki2026-ec64663.2026.11597398","name":"Comparative Study of PM Synchronous Machine and PM Vernier Machine for eVTOL Applications","source":"crossref","abstract":"","url":"https://doi.org/10.23919/ipec-nagasaki2026-ec64663.2026.11597398","authors":["Ziang Wang","Dawei Li","Yu Zhao","Ronghai Qu"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-07-16T21:48:50Z","doi":"10.23919/ipec-nagasaki2026-ec64663.2026.11597398","addedAt":"2026-08-31T06:39:39.468Z","updatedAt":"2026-08-31T06:39:39.468Z"},{"id":"doi:10.2514/6.2026-4319","name":"Simulator Evaluations of Increasing Automation in an eVTOL Vehicle on Pilot Performance of Secondary Tasks","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2026-4319","authors":["Amber N. Villa","Michael Feary","Kevin Monk","Loran Haworth","Mieczyslaw Steglinski","John Kaneshige","Kimberlee Shish","Thomas Lombaerts","Nelson Iwai","John Archdeacon","Elif Kurklu"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-06-04T17:45:42Z","doi":"10.2514/6.2026-4319","addedAt":"2026-08-31T06:39:39.468Z","updatedAt":"2026-08-31T06:39:39.468Z"},{"id":"doi:10.1007/s42401-026-00477-y","name":"Reliability-driven DC-link optimization for fault-tolerant 3L T-type eVTOL propulsion inverters","source":"crossref","abstract":"Abstract This article proposes a mission-profile-based sizing methodology for DC-link capacitors in eVTOL propulsion inverters. While DC-link capacitors contribute significantly to converter volume, traditional design relies on conservative worst-case operating points, leading to significant oversizing. To address this, an electro-thermal modelling approach is developed to evaluate capacitor lifetime based on core temperature fluctuations throughout a dynamic flight profile. The methodology accounts for thermal properties, modulation strategies, and the effects of fault-tolerant operation. Although the method is applicable to various inverter topologies and capacitor technologies, the three-level T-type (3L-TT) fault-tolerant converter benefits most, as demonstrated by an exemplary design achieving a 37.5% reduction in DC-link volume compared to conventional methods while for a specified life-time goal.","url":"https://doi.org/10.1007/s42401-026-00477-y","authors":["Niklas Krug","Marek Galek","Florian Holzapfel"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-04-28T07:19:12Z","doi":"10.1007/s42401-026-00477-y","addedAt":"2026-08-31T06:39:39.468Z","updatedAt":"2026-08-31T06:39:39.468Z"},{"id":"doi:10.1007/978-981-95-7840-5_21","name":"Numerical Analysis UAV Propeller Noise Based on the Joby S4 eVTOL","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-981-95-7840-5_21","authors":["Yuyang Liu","Liang Wang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-08-04T21:36:22Z","doi":"10.1007/978-981-95-7840-5_21","addedAt":"2026-08-31T06:39:39.468Z","updatedAt":"2026-08-31T06:39:39.468Z"},{"id":"doi:10.1177/1475472x261419107","name":"Multi-fidelity assessment of eVTOL propeller noise in ground-effect conditions","source":"crossref","abstract":"The aeroacoustic impact of ground proximity on an eVTOL propeller in hover and edgewise flight is examined using a multi-fidelity framework. Delayed-Detached Eddy Simulations (DDES) in OpenFOAM, coupled with PSU-WOPWOP, for high-fidelity acoustic predictions, and CDI-CHARM, a free-vortex panel-method code, as a lower fidelity approach. Extensive validation of the numerical simulations against experiments was performed. Performance metrics and flow-field analyses were examined prior to conducting the acoustic analysis. In-ground-effect (IGE) conditions, here defined as rotor operation within a few radii of a rigid ground plane, modify wake dynamics and alter tonal and overall sound levels, producing around ∼ 5 dB SPL increases beneath the rotor. CHARM reproduces the main tonal trends observed in DDES cannot predict broadband content. We also evaluate approaches for treating ground reflections, including the Method of Images (MOI), and introduce a permeable “upside-down T” acoustic surface that captures reflected waves without requiring MOI. These findings clarify rotor–ground acoustics and offer practical guidance for permeable acoustic surface selection in high-fidelity simulations.","url":"https://doi.org/10.1177/1475472x261419107","authors":["Michael Marques","Vladimir V. Golubev","Anastasios S. Lyrintzis"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-02-03T05:34:56Z","doi":"10.1177/1475472x261419107","addedAt":"2026-08-31T06:39:39.468Z","updatedAt":"2026-08-31T06:39:39.468Z"},{"id":"doi:10.1109/aiita69518.2026.11567127","name":"Model Predictive Control for Battery Liquid Cooling System of eVTOL under Dynamic Flight Profiles","source":"crossref","abstract":"","url":"https://doi.org/10.1109/aiita69518.2026.11567127","authors":["Siyi Deng","Junjie Chen","Junxuan Hu","Haoran Yang","Wencan Zhu","Jie Tan"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-06-24T19:47:28Z","doi":"10.1109/aiita69518.2026.11567127","addedAt":"2026-08-31T06:39:39.468Z","updatedAt":"2026-08-31T06:39:39.468Z"},{"id":"doi:10.37155/2717-5197-0814-1","name":"eVTOL 复合材料结构低成本快速制造技术综述","source":"crossref","abstract":"","url":"https://doi.org/10.37155/2717-5197-0814-1","authors":["炜 肖","尹怀江"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-08-26T07:14:35Z","doi":"10.37155/2717-5197-0814-1","addedAt":"2026-08-31T06:39:39.468Z","updatedAt":"2026-08-31T06:39:39.468Z"},{"id":"doi:10.1109/ichms69701.2026.11602044","name":"Implementing Gaze Entropy to Evaluate the Design of an eVTOL with SVO Concept","source":"crossref","abstract":"","url":"https://doi.org/10.1109/ichms69701.2026.11602044","authors":["Yuhan Zhan","Yuhan Li","Youchao Sun","Shuguang Zhang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-07-15T20:02:01Z","doi":"10.1109/ichms69701.2026.11602044","addedAt":"2026-08-31T06:39:39.468Z","updatedAt":"2026-08-31T06:39:39.468Z"},{"id":"doi:10.4050/f-0082-2026-0046","name":"Sub-Scale Testing for Validation of eVTOL Simulations and Analysis of Disturbance Rejection Properties","source":"crossref","abstract":"This paper investigates a sub-scale testing methodology via Froude scaling combined with comprehensive simulation model development to validate Electric Vertical Take-off and Landing (eVTOL) aircraft simulations and disturbance rejection characteristics. Both sub-scale and full-scale quadrotor aircraft were modeled using the Distributed Electric Propulsion Simulation (DEPSim) and the Comprehensive Hierarchical Aeromechanics Rotorcraft Model (CHARM) for simulation analysis. The sub-scale simulation was validated using flight data from the sub-scale model, including frequency sweeps and impulsive gust disturbance tests in the Penn State University (PSU) indoor flight facility. The PX4 control architecture was modeled in DEPSim and implemented in both scale models, using Froude-scaling in the control laws with the limitation that the Electronic Speed Controller (ESC) dynamics were not fully replicated in the simulation. The scaling methodology and control laws were verified through gust response tests and the Hovering turn and hold Handling Qualities Task Element (HQTE) test. The results indicate that the sub-scale flight testing and simulation provide a low-risk and low-cost method to evaluate full-scale flight performance and disturbance rejection properties.","url":"https://doi.org/10.4050/f-0082-2026-0046","authors":["Soohyeon Lee","Jack Prewitt","Andrew Jue","Jeffrey Keller","Joseph Horn"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-06-10T23:06:42Z","doi":"10.4050/f-0082-2026-0046","addedAt":"2026-08-31T06:39:39.468Z","updatedAt":"2026-08-31T06:39:39.468Z"},{"id":"doi:10.1016/j.apenergy.2026.128226","name":"Urban energy and three-dimensional mobility integration for eVTOL scale-up","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.apenergy.2026.128226","authors":["Tao Qian","Jinyu Yue","Chongyu Wang","Jiarong Li","Qinran Hu","Hongxun Hui"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-06-12T13:59:05Z","doi":"10.1016/j.apenergy.2026.128226","addedAt":"2026-08-31T06:39:39.468Z","updatedAt":"2026-08-31T06:39:39.468Z"},{"id":"doi:10.64631/izbx4558","name":"Manufacturing and Scale-Up of Natural Fiber Composite eVTOL Propeller Skin and C-Channel","source":"crossref","abstract":"","url":"https://doi.org/10.64631/izbx4558","authors":["Paula Heimann","Sandi Miller","Meelad Ranaiefar","Andrew P Santos","Alex Mazhari","Jon Sasaki","Sang-Hyon Chu","Allison Christy"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-03-18T15:30:06Z","doi":"10.64631/izbx4558","addedAt":"2026-08-31T06:39:39.468Z","updatedAt":"2026-08-31T06:39:39.468Z"},{"id":"doi:10.1007/978-3-032-11556-0_7","name":"AMP Secondary Sources: Ageing Aircraft","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-032-11556-0_7","authors":["David Lapesa Barrera"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-04-30T22:38:23Z","doi":"10.1007/978-3-032-11556-0_7","addedAt":"2026-08-31T06:39:39.468Z","updatedAt":"2026-08-31T06:39:39.468Z"},{"id":"doi:10.4050/f-0082-2026-0150","name":"A Deployable Vertiport Node Concept Using Cherokee MC2 and MVP for Operations and Infrastructure in Rotorcraft, eVTOL, VTOL, and UAS Missions","source":"crossref","abstract":"This paper develops an engineering concept and research framework showing how Cherokee MC2 (Mobile Command Center) and MVP (Mobile Vertipad Platform) can individually, and then as a combined system, resolve key operational and infrastructure challenges facing rotorcraft, eVTOL, VTOL, and UAS missions across civil, commercial, and military contexts. The investigation synthesizes current vertiport / vertipad design guidance, UAM and UTM operational architectures, and recent research on rotor downwash and degraded visual environment hazards to derive a deployable \"vertiport node\" architecture for austere and time-critical operations. MC2 is treated as the digital and procedural core enabling command, control, communications, data fusion, and manned–unmanned teaming, while MVP is treated as the physical landing interface enabling rapid, load-bearing, illuminated vertical-lift operations without fixed infrastructure. The primary contribution is a traceable topic-to-capability mapping supported by standards and research, plus a modeling, simulation, and optimization workflow to validate safety zones, capacity, scheduling, and resilience. Conclusions identify practical deployment pathways and research gaps for certification-aligned operations.","url":"https://doi.org/10.4050/f-0082-2026-0150","authors":["Justin Vandy"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-06-10T23:06:42Z","doi":"10.4050/f-0082-2026-0150","addedAt":"2026-08-31T06:39:39.468Z","updatedAt":"2026-08-31T06:39:39.468Z"},{"id":"doi:10.1007/978-3-032-19231-8_6","name":"Honeycomb Core Laminates in Aircraft Structures","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-032-19231-8_6","authors":["Fatih Turan"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-05-25T05:44:41Z","doi":"10.1007/978-3-032-19231-8_6","addedAt":"2026-08-31T06:39:39.468Z","updatedAt":"2026-08-31T06:39:39.468Z"},{"id":"doi:10.1007/978-3-032-11556-0_41","name":"Paperless Aircraft Operations and Blockchain","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-032-11556-0_41","authors":["David Lapesa Barrera"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-04-30T23:16:25Z","doi":"10.1007/978-3-032-11556-0_41","addedAt":"2026-08-31T06:39:39.468Z","updatedAt":"2026-08-31T06:39:39.468Z"},{"id":"doi:10.4271/2026-99-0839","name":"A Standardized Mid-Fidelity Aerodynamic Comparison of Four Tiltrotor eVTOL Configurations Using SUAVE and VSPAero","source":"crossref","abstract":"&lt;div class=\"section abstract\"&gt;&lt;div class=\"htmlview paragraph\"&gt;This study compares 4 representative tiltrotor platforms: Joby S4, Archer Midnight, Vertical Aerospace VX4, and Uber eCRM-001 in a typical UAM mission profile under standardized rotor and wing assumptions using an integrated OpenVSP-SUAVE-VSPAero framework. This work aims to isolate the influence of eVTOL configuration from proprietary optimizations on thrust generation and aerodynamic interaction by using standard wing airfoils and a consistent rotor design tool.&lt;/div&gt;&lt;div class=\"htmlview paragraph\"&gt;Vehicle geometries were modeled in OpenVSP. Rotor Operating conditions were obtained from the SUAVE conceptual design platform. Mid-fidelity aerodynamic analysis was done using VSPAero.&lt;/div&gt;&lt;div class=\"htmlview paragraph\"&gt;SUAVE results show a decrease in thrust requirements as the tilt angle decreases, with the most complexity occurring in the transition phase where lift shifts from rotors to wing. Archer Midnight and Vertical Aerospace VX4 show higher hover thrust requirements due to their high takeoff weights. They display localized thrust increase near mid transition due to numerical adjustments made to achieve solver convergence. Joby S4 and Uber eCRM-001 display a smoother thrust requirement trend. VSPAero simulations also show a gradual decrease in thrust from hover to cruise. Joby S4’s continuously active rotor configuration maintained more stable performance than the hybrid configurations, which deactivate lift-only rotors after takeoff.&lt;/div&gt;&lt;div class=\"htmlview paragraph\"&gt;A comparative flight feasibility analysis was conducted, defined as the difference between VSPAero-predicted thrust and SUAVE-required thrust. This analysis reveals that Joby S4 maintains a positive margin across most flight phases. Archer Midnight and Vertical Aerospace VX4 show a marginal deficit in near-cruise phases. Uber eCRM-001 showed negative margins throughout the mission, indicating limited aerodynamic robustness under standardized assumptions.&lt;/div&gt;&lt;div class=\"htmlview paragraph\"&gt;Rotor-wing interactions enhances rotor thrust across all mission segments, while creating periodic pressure oscillations on the wings. Rotor-rotor interactions provide limited near-field benefits that dissipate in forward flight. The findings of this study highlight the significance of eVTOL configuration in determining performance and aerodynamic efficiency.&lt;/div&gt;&lt;/div&gt;","url":"https://doi.org/10.4271/2026-99-0839","authors":["Md Sadat Shahrier Sawron"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-07-30T00:00:33Z","doi":"10.4271/2026-99-0839","addedAt":"2026-08-31T06:39:39.468Z","updatedAt":"2026-08-31T06:39:39.468Z"},{"id":"doi:10.2514/6.2026-4063","name":"Performance Comparison of Truss-Braced Wing Aircraft Model With Boeing 738–800 Aircraft Model Using CFD Simulation","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2026-4063","authors":["Md Mashiur Rahman","Muhammad Akbar"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-06-04T17:45:42Z","doi":"10.2514/6.2026-4063","addedAt":"2026-08-31T06:39:39.468Z","updatedAt":"2026-08-31T06:39:39.468Z"},{"id":"doi:10.1007/978-3-032-19231-8_7","name":"Cork-Based Laminates for Aircraft Flooring","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-032-19231-8_7","authors":["Carlo Santulli"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-05-25T05:44:01Z","doi":"10.1007/978-3-032-19231-8_7","addedAt":"2026-08-31T06:39:39.468Z","updatedAt":"2026-08-31T06:39:39.468Z"},{"id":"doi:10.2514/1.c038130","name":"Aircraft Weight Estimation Using Surveillance Data Based on Statistical Modeling of Climb-Thrust","source":"crossref","abstract":"Accurate trajectory prediction is essential for a highly efficient air traffic system, and aircraft weight estimation by ground systems is one of its key technologies. Since aircraft weight includes payload and fuel, it is regarded by airlines as commercially sensitive and is not available to air traffic control (ATC) facilities. Attempts have therefore been made to estimate aircraft weight using data available to ATC, including meteorological and surveillance data. Such techniques often target the climb phase because reasonable assumptions may be made about thrust during this phase. However, in real-world operations, even aircraft of the same type flying the same route show a wide variety of flight tracks and climb profiles due to traffic and weather conditions. In this study, the uncertainties in climb phase weight estimation are classified into two types, and a two-step method is applied to deal with each type of uncertainty: estimation of the steady climb segment and simultaneous estimation of aircraft weight and thrust setting. The accuracy of the proposed method was evaluated using flight data collected during actual operations, and the superiority of the proposed method in terms of accuracy over previous studies was suggested under certain conditions.","url":"https://doi.org/10.2514/1.c038130","authors":["Haruki Matsuda","Yoshinori Matsuno","Takehisa Yairi"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-06-18T03:37:38Z","doi":"10.2514/1.c038130","addedAt":"2026-08-31T06:39:39.468Z","updatedAt":"2026-08-31T06:39:39.468Z"},{"id":"doi:10.4050/f-0082-2026-0225","name":"Development and Testing of a Subscale eVTOL Flight Vehicle for Stability, Control and Disturbance Response Characteristics","source":"crossref","abstract":"Advanced air mobility (AAM) seeks to develop a large-scale transportation system to revolutionize how people live and work, with electric vertical take-off and landing (eVTOL) aircraft serving a central role due to reduced emissions and noise impact. An important aspect for eVTOL aircraft certification is safe urban operations, which require understanding of the response due to aerodynamic disturbances. Experimental data are required to support eVTOL aircraft development with respect to flight dynamics and controllability, as well as design specification development. While flight testing of the full-sized air vehicle will be necessary as part of the certification process, subscale testing offers many advantages with respect to cost and flexibility, in addition to examining operational conditions that one would be reluctant to test in flight at full scale such as emergency conditions. These advantages only may be seen if the underlying scaling principles of flight dynamics / control, aerodynamic interactions, and propulsion-airframe integration are understood. This paper describes initial work towards development of a general subscale testing methodology for eVTOL aircraft flight dynamics and disturbance response characteristics including limited degree of freedom (DOF) and free flight testing. An overview of the initial development work is provided, including discussion of scaling relationships, subscale air vehicle model development, and testing activities focusing on flying qualities and stability / control characteristics.","url":"https://doi.org/10.4050/f-0082-2026-0225","authors":["Jeffrey D. Keller","Robert M. McKillip, Jr.","Joseph Horn","Soohyeon Lee"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-06-10T23:06:42Z","doi":"10.4050/f-0082-2026-0225","addedAt":"2026-08-31T06:39:39.468Z","updatedAt":"2026-08-31T06:39:39.468Z"},{"id":"doi:10.1109/net-lc70284.2026.11605664","name":"Research on the Material–Modal Coupling Characteristics of eVTOL Rotor Blades for New Energy Electric Aviation","source":"crossref","abstract":"","url":"https://doi.org/10.1109/net-lc70284.2026.11605664","authors":["Jia Chen","Quanfeng Li","Shengkai Wu"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-07-21T19:12:00Z","doi":"10.1109/net-lc70284.2026.11605664","addedAt":"2026-08-31T06:39:39.468Z","updatedAt":"2026-08-31T06:39:39.468Z"},{"id":"doi:10.2514/1.c038452","name":"FAST: A Future Aircraft Sizing Tool for Conventional and Electrified Aircraft Design","source":"crossref","abstract":"Electrified aircraft are a promising solution to reduce aviation’s carbon footprint across general and commercial aviation sectors. However, existing computational tools for aircraft design require information about the aircraft’s configuration, forcing the designer to down-select before optimizing their design. As a result of the limited flexibility, suboptimal system architectures may be selected during the early phases of conceptual design. To address this, the Future Aircraft Sizing Tool (FAST), an open-source, MATLAB-based tool, was developed as a propulsion system-agnostic tool for early-phase conceptual design. Using limited design parameters, FAST facilitates rapid and comprehensive aircraft sizing and performance evaluation, utilizing an extensive database of over 450 historical aircraft. Both data-driven and physics-based models are combined to seamlessly integrate new electrification technologies into a design while rapidly predicting its performance. This capability enables early-stage design space exploration to rigorously assess a wide range of propulsion architectures, energy sources, and operational strategies for novel aircraft configurations. This paper presents the key features of FAST, including workflows for aircraft sizing and analysis. The paper also presents a case study involving a commercial freighter, demonstrating FAST’s ability to perform design space exploration and early-phase trade studies.","url":"https://doi.org/10.2514/1.c038452","authors":["Paul R. Mokotoff","Maxfield Arnson","Yi-Chih Wang","Gokcin Cinar"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-10-15T06:21:38Z","doi":"10.2514/1.c038452","addedAt":"2026-08-31T06:39:39.468Z","updatedAt":"2026-08-31T06:39:39.468Z"},{"id":"doi:10.64649/yh.shfzykjcx.issn3078-8994.202605001","name":"基于5G网络的eVTOL城市低空运行避撞策略探析","source":"crossref","abstract":"目前城市空中交通行业正处在快速发展阶段，电动垂直起降飞行器（eVTOL）作为一种新型交通工具，展现出广阔的发展前景。然而，城市低空环境复杂，eVTOL运行面临诸多安全挑战，其中避撞问题尤为关键。5G网络凭借其高速率、低时延、广连接的特性，为eVTOL城市低空运行避撞提供了新的技术途径。本文深入探讨基于5G网络的eVTOL城市低空运行避撞策略，旨在提升eVTOL运行的安全性与可靠性，推动城市空中交通的可持续发展。","url":"https://doi.org/10.64649/yh.shfzykjcx.issn3078-8994.202605001","authors":["卉 明"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-06-05T07:47:07Z","doi":"10.64649/yh.shfzykjcx.issn3078-8994.202605001","addedAt":"2026-08-31T06:39:39.468Z","updatedAt":"2026-08-31T06:39:39.468Z"},{"id":"doi:10.1007/978-3-032-19231-8_4","name":"Aramid Reinforced Components in Aircraft Structural Systems","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-032-19231-8_4","authors":["Carlo Santulli"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-05-25T05:44:16Z","doi":"10.1007/978-3-032-19231-8_4","addedAt":"2026-08-31T06:39:39.468Z","updatedAt":"2026-08-31T06:39:39.468Z"},{"id":"doi:10.2514/1.c038127","name":"Evaluating “Critical-Engine-Inoperative” Conditions for Distributed Hybrid-Electric Aircraft","source":"crossref","abstract":"To ensure flight safety, a set of flight certification rules are defined at critical-engine-inoperative (CEI) conditions for conventional fuel-powered tube-and-wing aircraft. However, the definition of CEI is unclear for distributed hybrid-electric propulsion aircraft, where a single propulsor can be driven by multiple power sources in parallel and/or propulsive power can be unevenly distributed among power sources. These innovative designs necessitate a revisit of CEI conditions for the demonstration of certification compliance. This paper proposes a potential solution for determining critical propulsion failure states and demonstrating the equivalent safety level for distributed hybrid-electric aircraft through reliability analysis and flight dynamic simulations. As an example, NASA’s PEGASUS aircraft is selected as the use case. The failure rates of propulsive failure states computed using a Bayesian modeling approach indicate that PEGASUS’s overall reliability is improved compared to its conventional counterpart despite its more complex propulsion architecture. The flight dynamic simulations show that PEGASUS requires at least 45% of maximum power at sea level for takeoff and maintaining steady level flight. To satisfy the controllability constraints specified in CEI rules, the yawing moment induced by asymmetric loss of thrust may not exceed 1.7 times that induced by the critical engine failure of the ATR 42-500.","url":"https://doi.org/10.2514/1.c038127","authors":["Jiacheng Xie","Mayank V. Bendarkar","Yu Cai","Dimitri N. Mavris"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-08-06T05:51:56Z","doi":"10.2514/1.c038127","addedAt":"2026-08-31T06:39:39.468Z","updatedAt":"2026-08-31T06:39:39.468Z"},{"id":"doi:10.2139/ssrn.6413183","name":"Estimating opposition to urban air mobility: A list experiment on eVTOL social licence under noise, regulatory assurance, and incident information","source":"crossref","abstract":"Urban air mobility (UAM) using electric vertical take-off and landing aircraft (eVTOL ”air taxis”) is increasingly framed as a stage-gated transition from demonstrations to routine operations, contingent on safe integration, governance maturity, and community acceptance. Yet most evidence on UAM acceptance relies on direct self-reports, which may not fully capture opposition when it is difficult to express directly or is shaped by localised externalities. We combine a 2×2×2 randomised vignette experiment—manipulating noise (low vs high), regulatory assurance (strong vs weak), and incident information (none vs a minor incident reported)—with a list experiment to estimate opposition indirectly and to compare direct and indirect opposition estimates at the group level. In an online sample (N = 1,600), higher noise and incident information reduce policy support and increase complaint intention, while strong assurance increases support and lowers baseline complaint propensity. Assurance also buffers incident-related declines in policy support, whereas buffering is weaker for complaint intention. Across the full sample, indirect opposition estimates are directionally higher than direct opposition estimates, consistent with possible understatement in direct questioning; however, evidence for systematic direct–indirect discrepancy across deployment conditions remains imprecise. The study provides a replication-ready framework for combining behaviourally consequential outcomes with a measurement-sensitive assessment of social licence during UAM scale-up.","url":"https://doi.org/10.2139/ssrn.6413183","authors":["Yuchen Gao","Tong He","Sa Chen","Xinlei Chu","Qing-Xing Qu"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-03-14T06:41:22Z","doi":"10.2139/ssrn.6413183","addedAt":"2026-08-31T06:39:39.468Z","updatedAt":"2026-08-31T06:39:51.431Z"},{"id":"doi:10.1007/978-3-032-19231-8_1","name":"Laminated Composites in Aircraft Structures","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-032-19231-8_1","authors":["Fábio A. O. Fernandes"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-05-25T05:44:38Z","doi":"10.1007/978-3-032-19231-8_1","addedAt":"2026-08-31T06:39:39.468Z","updatedAt":"2026-08-31T06:39:39.468Z"},{"id":"doi:10.2514/1.c038617","name":"Design Limitations for Runway Operations of Gliding Aircraft","source":"crossref","abstract":"The conceptual design of future high-Mach airframes relies upon constraints imposed by simplified feasibility and performance screening metrics. Reusable aircraft must safely land under all circumstances, including situations with engines inoperative. To identify designs that permit unpowered aircraft to operate in real-world runways, we developed a novel method optimizing kinematic performance, which a designer can use to discover emerging (statistical) relationships to predict landing feasibility. To land under “dead-stick” (unpowered) conditions with a low-[Formula: see text] aircraft, pilots cannot fly standard stabilized approaches to the threshold. Instead, these aircraft must arrest their sink rate through a dynamic maneuver initiated far in advance of the runway. This parametric study identifies design space regions where unpowered aircraft can land following generalized procedures. We also identify regions of the design space requiring specialized procedures as well as still others that simply cannot perform a safe landing.","url":"https://doi.org/10.2514/1.c038617","authors":["Timothy T. Takahashi","José A. Camberos","Ramana V. Grandhi"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-11-22T14:49:06Z","doi":"10.2514/1.c038617","addedAt":"2026-08-31T06:39:39.468Z","updatedAt":"2026-08-31T06:39:39.468Z"},{"id":"doi:10.2514/6.2026-1878","name":"Design, Analysis, and Testing of a Modular Tiltrotor eVTOL Vehicle With Distributed Electric Propulsion","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2026-1878","authors":["Gregory Saunders","Gwynn Sumagaysay","Satya Patel","Andri Iribe","Demajay Francis","George Salib","Jacob Harris","Jessica Escalante","Karla Amaya","Tristan M. Sherman","Subodh Bhandari"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-01-29T10:19:56Z","doi":"10.2514/6.2026-1878","addedAt":"2026-08-31T06:39:39.468Z","updatedAt":"2026-08-31T06:39:39.468Z"},{"id":"doi:10.1016/j.cja.2025.104023","name":"High-fidelity modeling and topology optimization of propulsion and energy systems for distributed ducted fan eVTOL","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.cja.2025.104023","authors":["Sanya SUN","Zhuang SHAO","Zhou ZHOU"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-12-16T07:48:08Z","doi":"10.1016/j.cja.2025.104023","addedAt":"2026-08-31T06:39:39.468Z","updatedAt":"2026-08-31T06:39:39.468Z"},{"id":"doi:10.3390/batteries12090322","name":"Mission-Phase Feature Learning for eVTOL Li-Ion Battery Prognostics: A Leakage-Safe Cell-Held-Out Benchmark for SOC, SOH, and RUL","source":"crossref","abstract":"Reliable battery prognostics for electric vertical take-off and landing (eVTOL) aircraft require models that preserve phase-dependent electrothermal information while generalizing to cells absent from training. This study reconstructs the public CMU eVTOL battery dataset and establishes a leakage-safe benchmark for state of charge (SOC), five-mission-ahead state of health (SOH), and threshold-based remaining useful life (RUL). A protocol-based screen identified 441 valid C/5 reference-performance-test anchors across 22 cells; three cells with non-monotone diagnostic-capacity trajectories were excluded from the primary health benchmark, leaving 19 cells. Predictors were restricted to telemetry-derived phase and mission features, with cell identity and target- or future-derived quantities excluded. All health models were evaluated using outer leave-one-cell-out validation with matched 20-mission histories. Random Forest achieved the lowest SOH MAE of 0.620 percentage points, compared with 1.252 for the mission-phase Transformer and 1.471 for Attention-LSTM-MoE. The best RUL MAEs were 24.067, 46.527, and 122.198 missions at the 90%, 85%, and 80% SOH thresholds. Cell-bootstrap uncertainty showed that model differences were threshold-dependent. Row-random splitting produced substantially more optimistic errors than cell-held-out evaluation. These results show that rigorous target construction and leakage-safe validation are critical and that increased sequence-model complexity does not guarantee superior unseen-cell generalization.","url":"https://doi.org/10.3390/batteries12090322","authors":["Su Yan","Musa Wiston"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-08-24T14:49:34Z","doi":"10.3390/batteries12090322","addedAt":"2026-08-31T06:39:39.468Z","updatedAt":"2026-08-31T06:39:39.468Z"},{"id":"doi:10.2514/6.2026-4063.c1","name":"Correction: Performance Comparison of Truss-Braced Wing Aircraft Model With Boeing 738–800 Aircraft Model Using CFD Simulation","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2026-4063.c1","authors":["Md Mashiur Rahman","Muhammad Akbar"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-07-02T21:53:57Z","doi":"10.2514/6.2026-4063.c1","addedAt":"2026-08-31T06:39:39.468Z","updatedAt":"2026-08-31T06:39:39.468Z"},{"id":"doi:10.1109/ojpel.2026.3664337","name":"Control of an eVTOL Series Hybrid Electric Propulsion System Using a Dual Rotor Generator","source":"openalex","abstract":"This paper proposes a series hybrid electric propulsion (SHEP) architecture for electric vertical takeoff and landing (eVTOL) aircraft based on a dual-rotor, nine-phase generator (DGe) interfaced with a nine-leg passive rectifier. The DGe integrates a permanent-magnet (PM) rotor that produces a fixed air-gap flux and a wound-field (WF) rotor that provides controllable excitation through a DC field current. Since passive rectification prevents reverse power flow and requires the generator voltage to remain compatible with the DC-link voltage, a wound-field excitation controller is developed to regulate the generator back-EMF in real time and maintain DC-link voltage stability under varying load conditions. A dynamic model of the DGe is established and used to derive the control law linking the WF excitation to the required rectified voltage. The nine-phase configuration reduces per-phase current stress and significantly lowers DC ripple compared to the three-phase case, enabling smaller DC-link capacitors and improving system robustness. The proposed architecture and control strategy are validated through simulations and experimental studies on a reduced-scale prototype, demonstrating effective DC-link voltage regulation and stable operation.","url":"https://doi.org/10.1109/ojpel.2026.3664337","authors":["Mahzad Gholamian","Omid Beik"],"tags":["Rotor (electric)","Rectification","Control theory (sociology)","Generator (circuit theory)","Excitation"],"confidence":0.72,"sites":["low-altitude"],"publishedDate":"2026-01-01","doi":"10.1109/ojpel.2026.3664337","addedAt":"2026-08-31T06:39:39.468Z","updatedAt":"2026-08-31T14:45:35.251Z"},{"id":"doi:10.2139/ssrn.7112671","name":"Rotating Blade Tip Vortex Characterization for Improved Blade–Wake Interaction Noise Prediction Using the Amiet–Glegg Model in eVTOL Rotors","source":"crossref","abstract":"The acoustic footprint of electric vertical take-off and landing (eVTOL) rotors is one of the decisive factor in the public acceptance and commercial viability of urban air mobility, with blade–wake interaction (BWI) noise constituting a dominant contributor across the mid frequency range to which the human ear is most sensitive. Existing Amiet–Glegg semi analytical model provide computationally efficient BWI noise predictions, however their accuracy depends strongly on the prescribed tip vortex turbulence spectrum, which is commonly obtained from von Kármán turbulence models or stationary-blade vortex measurements. This paper develops a rotating-blade turbulence input for BWI prediction using high fidelity, wall-modelled lattice Boltzmann method simulations of a representative multi-bladed eVTOL rotor in hover. A blade-fixed rotating probe system is introduced to track the tip vortex from roll-up to impingement on the following blade, resolving vorticity, tangential velocity, velocity spectra, coherence, and leading edge pressure footprints. The rotating tip vortex is found to be strongly non-axisymmetric and does not collapse onto classical self-similar vortex profiles. Its coherent span saturates before impingement and it is in close agreement with the effective span predicted by the Glegg geometric model, while its spectral content evolves substantially with wake age. Energy initially concentrated in the coherent vortex core is progressively redistributed toward smaller-scale fluctuations in the surrounding vortex wake region, and the blade leading edge footprint indicates that both the vortex core and the outer wake contribute to the blade encounter. A new representation of the rotating-blade tip vortex spectrum, fitted to the LBM spectra across the full effective vortex span at the interaction wake age, is incorporated into the Glegg BWI framework. Comparisons with LBM/FW–H acoustic spectra show improved prediction of broadband levels and spectral decay rates relative to the original stationary-blade spectrum, and a second rotor case demonstrates transferability without additional spectral-shape tuning. The resulting model retains the low computational cost of the semi analytical approach while improving its physical basis for preliminary low noise eVTOL rotor design.","url":"https://doi.org/10.2139/ssrn.7112671","authors":["Muhammad  Rehan Naseer","Leone Trascinelli","Daniel Poole","Mahdi Azarpeyvand","Henrique Raposo","Craig Mead"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-07-13T16:41:56Z","doi":"10.2139/ssrn.7112671","addedAt":"2026-08-31T06:39:39.468Z","updatedAt":"2026-08-31T06:39:39.468Z"},{"id":"doi:10.1007/978-3-032-11556-0_39","name":"MSG-4: The Future of Aircraft Maintenance","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-032-11556-0_39","authors":["David Lapesa Barrera"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-04-30T22:52:22Z","doi":"10.1007/978-3-032-11556-0_39","addedAt":"2026-08-31T06:39:39.468Z","updatedAt":"2026-08-31T06:39:39.468Z"},{"id":"doi:10.2139/ssrn.6865182","name":"Contrail-Aware Aircraft Design Optimization: A Comparative Study of Kerosene and LH2 Aircraft","source":"crossref","abstract":"Aviation is one of the most rapidly growing contributors to anthropogenic climate change, driven not only by carbon emissions but also by non-carbon effects such as contrail-induced cirrus clouds. Traditional aircraft design optimization frameworks primarily minimise fuel consumption or direct operating costs, typically neglecting the coupled effects of aerodynamic configuration, local meteorology, and resulting contrail formation. Consequently, aircraft that are ”fuel-optimal” may not be ”climate-optimal.” Aircraft parameters and atmospheric conditions influence both overall performance and the altitude-specific conditions under which contrails form. To explore these trade-offs, a comprehensive contrail-aware aircraft design and optimization framework is developed by integrating an in-house clean-sheet aircraft sizing methodology with the Stanford University Aerospace Vehicle Environment (SUAVE) and the PyContrails–CoCiP framework. The integrated framework enables simultaneous aircraft sizing, mission analysis, aerodynamic and propulsion performance assessment, direct operating cost (DOC) estimation, and evaluation of both CO2 and non-CO2 climate impacts, including contrail-induced energy forcing (EF). Two case studies based on a kerosene-fueled aircraft and a liquid hydrogen (LH2)-powered aircraft are performed to systematically quantify the differences between the two propulsion technologies under identical mission and atmospheric conditions. The results show that the LH2-powered aircraft consistently produces substantially lower contrail climate impact compared to the kerosene configuration despite higher water vapour emissions. For the minimum-EF optimized configurations, the hydrogen aircraft achieves approximately 44% lower EF compared to thecorresponding kerosene aircraft. However, this reduction is accompanied by increased aircraft weight and direct operating cost, highlighting a clear trade-off between climate-optimal and economically-optimal aircraft designs.","url":"https://doi.org/10.2139/ssrn.6865182","authors":["Vijay  Shankar Dwivedi","Ali Elham"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-06-02T00:38:07Z","doi":"10.2139/ssrn.6865182","addedAt":"2026-08-31T06:39:39.468Z","updatedAt":"2026-08-31T06:39:39.468Z"},{"id":"doi:10.1201/9781003746607-2","name":"Type-Certificated Uncrewed Aircraft Systems","source":"crossref","abstract":"","url":"https://doi.org/10.1201/9781003746607-2","authors":["Lee Nguyen","Melinda Marion"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-05-21T09:32:09Z","doi":"10.1201/9781003746607-2","addedAt":"2026-08-31T06:39:39.468Z","updatedAt":"2026-08-31T06:39:39.468Z"},{"id":"doi:10.1002/9781394378029.ch9","name":"Aircraft Environmental Control Systems","source":"crossref","abstract":"","url":"https://doi.org/10.1002/9781394378029.ch9","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-12-19T21:25:28Z","doi":"10.1002/9781394378029.ch9","addedAt":"2026-08-31T06:39:39.468Z","updatedAt":"2026-08-31T06:39:39.468Z"},{"id":"doi:10.1007/978-3-032-23373-8_3","name":"Shearography in Aircraft Structures","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-032-23373-8_3","authors":["Siyuan Fang","Zhongfang Gao","Lianxiang Yang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-05-01T00:14:35Z","doi":"10.1007/978-3-032-23373-8_3","addedAt":"2026-08-31T06:39:39.468Z","updatedAt":"2026-08-31T06:39:39.468Z"},{"id":"doi:10.1002/9781394378029.ch3","name":"Aircraft Secondary Power Systems","source":"crossref","abstract":"","url":"https://doi.org/10.1002/9781394378029.ch3","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-12-19T21:25:28Z","doi":"10.1002/9781394378029.ch3","addedAt":"2026-08-31T06:39:39.468Z","updatedAt":"2026-08-31T06:39:39.468Z"},{"id":"doi:10.4050/sm-2026-vlada-5187","name":"Conceptual Design of Uninhabited Aircraft for Support of Wildfire Suppression","source":"crossref","abstract":"A 4-rotor uninhabited air vehicle is described, with a primary mission of supporting personnel fighting wildfires. The paper demonstrates the use of technical design tools for a small Uninhabited Aircraft System (sUAS). A description of the design process is provided, including developing requirements, identifying constraints, the software tools employed, and examination of results. The vehicle is capable of delivering more than 20 kg of supplies to a delivery point 10 nm away while penetrating 30 kt winds. The sized vehicle is transportable in a medium-duty pickup truck and can be picked up and moved for ground handling by one or two individuals. The vehicle information will be publicly released for NDARC software users. Future work will examine other requirements, such as maneuvering and gust rejection.","url":"https://doi.org/10.4050/sm-2026-vlada-5187","authors":["Christopher Silva","Eduardo Solis"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-05-29T15:17:21Z","doi":"10.4050/sm-2026-vlada-5187","addedAt":"2026-08-31T06:39:39.468Z","updatedAt":"2026-08-31T06:39:39.468Z"},{"id":"doi:10.1109/icuas69441.2026.11598700","name":"Geometric Inverse Flight Dynamics on SO(3) and Application to Tethered Fixed-Wing Aircraft","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icuas69441.2026.11598700","authors":["Antonio Franchi","Chiara Gabellieri"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-07-14T19:39:09Z","doi":"10.1109/icuas69441.2026.11598700","addedAt":"2026-08-31T06:39:39.468Z","updatedAt":"2026-08-31T06:39:39.468Z"},{"id":"doi:10.1016/j.etran.2026.100626","name":"Analysis of multi-modal energy supply and power systems adaptability for eVTOL and UAV applications in the low-altitude economy","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.etran.2026.100626","authors":["Peixiao Fan","Siqi Bu","Mingshuo Zhu","Yuxin Wen","Shuangqi Li","Guoqing Zhang","Chenxuan Zhang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-07-28T15:11:25Z","doi":"10.1016/j.etran.2026.100626","addedAt":"2026-08-31T06:39:39.468Z","updatedAt":"2026-08-31T06:39:39.468Z"},{"id":"doi:10.1108/aeat-01-2025-0009","name":"Nonlinear geometric multivariable control for unmanned aircraft flight system","source":"crossref","abstract":"Purpose Due to the important role of unmanned aircraft in military and human’s normal practical application, this paper aims to extend the interesting research on unmanned aircraft flight controller design from the point of nonlinear multivariable case and differential geometry theory. More specifically, firstly one varying thrust force is added in the bottom of unmanned aircraft, then after a complete force analysis with the physical principle, a nonlinear dynamic model for unmanned aircraft flight system is constructed with multi-variables, such as multi inputs, multi states and multi outputs. Secondly, based on this established nonlinear multivariable system, nonlinear differential geometry theory is applied to design those multi inputs without any linearization process. Thirdly, further disturbance rejection is achieved under the framework of Lie derivative from differential geometry theory. Finally, to achieve the combination of theory and practice, a real-world platform about unmanned aircraft flight control system is established to prove the efficiency of our applied nonlinear geometry multivariable control through some simulations. Design/methodology/approach Firstly, consider one practical unmanned aircraft with one additional varying thrust force, its physical principle is analyzed to generate one corresponding nonlinear multivariable dynamic model. Secondly, combinations with nonlinear differential geometry and multivariable theory are proposed to design the nonlinear flight controller. Thirdly, Lie derivative from differential geometry is used to reject the external disturbance. Findings From the introduction and knowledge, control idea exists everywhere in our normal life. As unmanned aircraft has become increasingly important during modern war as one tactical weapon, so we think how to design one nonlinear controller for nonlinear multivariable unmanned aircraft flight system, while rejecting the external disturbance. Specifically, we give the detailed theoretic derivation and practical platform, i.e. applying the existing nonlinear geometric multivariable control in designing nonlinear unmanned aircraft controller. Originality/value To the best knowledge of the authors, mathematical theory and practical application are separated with each other. This paper is to break this wall and combine them together, although nonlinear differential geometry is very mature, but few for unmanned aircraft control system. Rough speaking, our paper establishes a new nonlinear dynamical system for unmanned aircraft with an additional varying thrust force, and designs a nonlinear controller from the point of nonlinear differential geometry, so the mission is to verify the existed nonlinear differential geometry theory benefit for unmanned aircraft flight control system truly.","url":"https://doi.org/10.1108/aeat-01-2025-0009","authors":["Wang Jianhong","Wang Yanxiang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-05-07T11:21:02Z","doi":"10.1108/aeat-01-2025-0009","addedAt":"2026-08-31T06:39:39.468Z","updatedAt":"2026-08-31T06:39:39.468Z"},{"id":"doi:10.2514/6.2026-1413","name":"The Aircraft Data Hierarchy: A Modern Aircraft Configuration Data Standard","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2026-1413","authors":["Ranald M. Engelbeck","Eduardo Ocampo","Mingxuan Shi","Alexander L. Carrere","Joerg Gablonsky","Sean R. Wakayama"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-01-29T07:39:48Z","doi":"10.2514/6.2026-1413","addedAt":"2026-08-31T06:39:39.468Z","updatedAt":"2026-08-31T06:39:39.468Z"},{"id":"doi:10.1121/10.0045585","name":"Towards acoustics-oriented aircraft design for highly integrated transport aircraft","source":"crossref","abstract":"A promising approach to increasing the efficiency of transport aircraft is the tight integration of the engine and airframe. While climate-impacting emissions remain central environmental concerns, aircraft noise has become a critical factor for crew and passenger health, community acceptance, and competitive positioning. Assessments for both external and internal noise depend on advanced models and simulation frameworks capable of representing the underlying physical processes with sufficient fidelity. It is essential to trace the complete “acoustic chain” in aircraft noise studies, from the sound generation of tonal and broadband noise at the source, through all propagation paths, to the immission. Hence, as in general product design, aircraft design also poses new challenges for acoustic engineers: Acoustic engineering is facing a paradigm shift—from isolated noise reduction measures to an integrated, acoustics-oriented design approach. This presentation outlines the prerequisites for embedding acoustics-oriented design into the aircraft development process. Adopting a system-of-systems perspective, we demonstrate how acoustics-oriented design connects to broader technology assessment. The presentation addresses how accurate modelling, reliable simulation, and insight-driven assessment pave the path for acoustics-oriented aircraft design for highly integrated transport aircraft.","url":"https://doi.org/10.1121/10.0045585","authors":["Sabine C. Langer"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-08-25T17:04:26Z","doi":"10.1121/10.0045585","addedAt":"2026-08-31T06:39:39.468Z","updatedAt":"2026-08-31T06:39:39.468Z"},{"id":"doi:10.2514/1.c038403","name":"Uncertainty Quantification of Single Event Noise Predictions for Conceptual Supersonic Transport Aircraft","source":"crossref","abstract":"This contribution discusses the uncertainties associated with single-event aircraft system noise as predicted with so-called Scientific simulation tools. The authors aim to highlight the inherent uncertainties of such simulations and increase awareness when analyzing these system noise prediction results. The considerations presented here are applicable to predictions with Scientific simulation tools in general but in this study are tailored to a specific case. This contribution presents 1) the authors’ application of uncertainty quantification for aircraft noise simulations, 2) the status quo of research activities, and 3) a specific application case. Compared to previous work limited to the noise prediction task, the uncertainty approach is now extended to fully incorporate the simulation of the flight trajectory. For this study, an application case that is of high priority because it supports ongoing technical discussions concerning the definition of landing and takeoff noise certification regulations for novel civil supersonic transport aircraft. The findings are compared to results from the literature. Based on the findings, initial conclusions can be derived for the potential community noise impact if these vehicles are in operation. The outcome of this single-event assessment directly affects whole fleet scenarios because they are assembled from individual events.","url":"https://doi.org/10.2514/1.c038403","authors":["Lothar Bertsch","Felix Lößle","Michel Nöding","Beat Schäffer","Sameer B. Mulani"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-12-07T15:40:08Z","doi":"10.2514/1.c038403","addedAt":"2026-08-31T06:39:39.468Z","updatedAt":"2026-08-31T06:39:39.468Z"},{"id":"doi:10.1007/978-3-032-11556-0_29","name":"Airworthiness of Aircraft Information Systems, Networks, and Equipment","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-032-11556-0_29","authors":["David Lapesa Barrera"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-04-30T22:47:31Z","doi":"10.1007/978-3-032-11556-0_29","addedAt":"2026-08-31T06:39:39.468Z","updatedAt":"2026-08-31T06:39:39.468Z"},{"id":"doi:10.2514/1.c038387","name":"Predicting Conceptual Aircraft Design Parameters Using Gaussian Process Regressions on Historical Data","source":"crossref","abstract":"This paper presents a novel methodology for predicting key aircraft design parameters using Gaussian process regressions (GPRs) applied to a comprehensive, open-source database of over 400 aircraft and 200 engines. The database, made freely available through the Future Aircraft Sizing Tool (FAST), enables aircraft designers to apply detailed historical data in early-stage conceptual design and provides full visibility into the data underlying the regressions—unlike traditional regression models, where the training data and model fit are often not disclosed. The nonparametric GPR models developed in this work allow for flexible input configurations, improving the accuracy of predicting critical parameters, such as operating empty weight and uninstalled engine weight, compared to established regressions from the literature. By incorporating a broader range of inputs, these models reduce prediction errors and provide tighter error distributions, leading to more reliable estimates during early design phases. This paper outlines a methodology for adapting conventional aircraft data to explore hybrid-electric and fully electric aircraft designs, ensuring that historical data can be leveraged effectively for novel propulsion systems. Additionally, the flexibility of the GPR framework allows users to create their own regressions and update predictions as new data becomes available, making it a useful tool for researchers working with their own datasets.","url":"https://doi.org/10.2514/1.c038387","authors":["Maxfield Arnson","Rawan Aljaber","Gokcin Cinar"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-02-05T15:42:55Z","doi":"10.2514/1.c038387","addedAt":"2026-08-31T06:39:39.468Z","updatedAt":"2026-08-31T06:39:39.468Z"},{"id":"doi:10.1201/9781003685555-1","name":"Introduction to Advanced Air Mobility (AAM) and Electric Vertical Take-Off and Landing (eVTOL)","source":"crossref","abstract":"","url":"https://doi.org/10.1201/9781003685555-1","authors":["Dimitrios Ziakkas","Amin Vadafar","Daniel Sloat"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-02-25T12:33:08Z","doi":"10.1201/9781003685555-1","addedAt":"2026-08-31T06:39:39.468Z","updatedAt":"2026-08-31T06:39:52.484Z"},{"id":"doi:10.1016/j.ast.2026.112840","name":"Propulsion system modeling and power supply safety analysis for a hybrid tiltrotor eVTOL","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.ast.2026.112840","authors":["Dan Min","Zhang Pengfei","Jin Yuyang","Sun Shuang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-06-07T14:32:28Z","doi":"10.1016/j.ast.2026.112840","addedAt":"2026-08-31T06:39:39.468Z","updatedAt":"2026-08-31T06:39:39.468Z"},{"id":"doi:10.4050/sm-2026-vlada-5185","name":"Multiscale Design and Optimization of a VTOL Aircraft for Disaster Relief","source":"crossref","abstract":"This paper presents a multi-scale sizing and optimization framework for a vertical take-off and landing (VTOL) aircraft designed for disaster-relief operations, addressing both conceptual full-scale design and feasibility analysis of a subscale prototype. A tandem tilt-wing configuration with eight distributed propulsors is considered in the context of the GoAero Stage 2 mission. The full-scale aircraft employs a hybrid-electric propulsion architecture centered around a Rotax 916 iS engine, with propulsion and energy system components sized to satisfy point-performance, mission, and dynamic maneuvering requirements. The aircraft is sized and optimized using the Parametric Energy-Based Aircraft Configuration Evaluator (PEACE), which integrates aero-propulsive modeling, energy-based mission analysis, and power-flow-based propulsion sizing. Hover maneuvering constraints based on ADS-33E-PRF are explicitly enforced and are shown to be a dominant driver of motor and propulsion system sizing. Batteries are sized to support power-intensive off-nominal conditions, including engine-out vertical climb. A genetic algorithm is used to solve optimization problems involving continuous and discrete design variables, with maximum takeoff mass and range as multiple objectives. For the full-scale design, stall speed is identified as the dominant active constraint in the optimal design. The optimized configuration is subsequently scaled down by 35% to obtain a subscale prototype. In contrast to full-scale rubber-propulsion sizing, the subscale design adopts a fixed-propulsion sizing approach using commercial off-the-shelf components. The resulting design satisfies all geometric, performance, stability, and payload constraints while remaining within regulatory mass limits of 55 lbs.","url":"https://doi.org/10.4050/sm-2026-vlada-5185","authors":["Rajan Bhandari","Imon Chakraborty"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-05-29T15:17:21Z","doi":"10.4050/sm-2026-vlada-5185","addedAt":"2026-08-31T06:39:39.468Z","updatedAt":"2026-08-31T06:39:39.468Z"},{"id":"doi:10.2514/1.c038359","name":"Erosion by Saharan Dust Ingested into High-Bypass Turbofans","source":"crossref","abstract":"Regions with high concentrations of dust particles, particularly arid and desert areas, contribute significantly to the deterioration of aircraft engines. This research investigated how Saharan dust particles are ingested into high-bypass turbofan engines and cause severe erosion of their front components. A Lagrangian particle tracking code was used to analyze the effects of dust particles as they travel from the external environment through the pitot intake, fan rotor, inlet guide vanes (IGVs), and outlet guide vanes (OGVs). Incorporating external domains allowed for a more realistic representation of particle trajectories, impact distributions, and erosion patterns. The analysis revealed that the fan blade experiences the most significant erosion, followed by the OGVs and IGVs. Extreme rates of erosion are observed on the leading edge and trailing edge of the rotor blade, as well as on the pressure side. On the other hand, the suction side exhibits scattered erosion at lower intensity. The OGVs and IGVs also show dispersed erosion, albeit less intense than that of the rotor. These results will help guide mitigation strategies aimed at reducing erosion progression, thereby improving the service life and reliability of aeroengines operating in dusty environments.","url":"https://doi.org/10.2514/1.c038359","authors":["Adel Ghenaiet"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-02-09T11:00:40Z","doi":"10.2514/1.c038359","addedAt":"2026-08-31T06:39:39.468Z","updatedAt":"2026-08-31T06:39:39.468Z"},{"id":"doi:10.1088/1742-6596/3208/1/012008","name":"Escalating cooling efficiency in parallel-channel cold plates for battery thermal management in eVTOL systems","source":"crossref","abstract":"Abstract Electric Vertical Takeoff and Landing ( eVTOL ) aircraft, as a highly promising mode of transportation, offer new possibilities for alleviating traffic congestion. Their unique flight patterns and high-power demands pose significant challenges for the design of battery thermal management systems ( BTMS ). Therefore, this work selected two typical operating conditions of eVTOL , namely 4C hover and 2C climb, and established a 3D-thermal model of the cooling system to investigate the effects of inlet and outlet arrangements, inlet flow velocities, and ambient temperatures on temperature rises and distributions during battery discharge. The results primarily showed that the opposite-side inlet and outlet arrangement has superior cooling performance compared to the same-side arrangement, significantly reducing temperature inhomogeneity ( ΔT ). Meanwhile, increasing the inlet flow velocity would be more effective for achieving appropriate cooling of the battery pack; however, at a 4C rate, a marginal diminishing effect becomes apparent when the flow velocity exceeds 0.1 m/s. Therefore, a flow velocity of about 0.04 m/s is mainly recommended for 2C, when 0.35 m/s is targeted for 4C. Notably, an increase in ambient temperature results in a linear rise in maximum temperature ( T max ) while simultaneously reducing pressure drop ( ΔP ), thereby contributing to energy savings. These findings offer key design guidelines for the BTMS of eVTOL.","url":"https://doi.org/10.1088/1742-6596/3208/1/012008","authors":["Keyi Zeng","Liyu Tian","Zhouteng Ye","Karim Ragui","Zheng Xu"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-04-02T09:09:25Z","doi":"10.1088/1742-6596/3208/1/012008","addedAt":"2026-08-31T06:39:39.468Z","updatedAt":"2026-08-31T06:39:39.468Z"},{"id":"doi:10.1109/net-lc70284.2026.11605743","name":"Comparative Analysis of Electromagnetic Characteristics of Single-Rotor and Dual-Rotor Axial Flux Motors for eVTOL Propulsion Systems","source":"crossref","abstract":"","url":"https://doi.org/10.1109/net-lc70284.2026.11605743","authors":["Qian Chen","Quanfeng Li","Shengkai Wu"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-07-21T19:11:42Z","doi":"10.1109/net-lc70284.2026.11605743","addedAt":"2026-08-31T06:39:39.468Z","updatedAt":"2026-08-31T06:39:39.468Z"},{"id":"doi:10.1016/j.energy.2026.140162","name":"System-level modelling and optimisation of a recuperated micro gas turbine hybrid power system for eVTOL endurance enhancement","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.energy.2026.140162","authors":["Mengxue Li","Kyle Jiang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-01-23T00:22:57Z","doi":"10.1016/j.energy.2026.140162","addedAt":"2026-08-31T06:39:39.468Z","updatedAt":"2026-08-31T06:39:39.468Z"},{"id":"doi:10.2514/1.c038418","name":"Optimizing Thermal Management Systems to Extend Battery Life of Electric Aircraft","source":"crossref","abstract":"This study investigates the relationship between thermal management system design and battery life in electric aircraft. While typical approaches size thermal management systems for maximum heat extraction during climb, this paper examines alternative strategies to size thermal management systems that maintain cell temperatures within safe limits while reducing the rate of diminishing performance. The analysis incorporates system-level interactions, where the mass of the thermal management system has a non-negligible effect on propulsion requirements while drawing additional power from the battery pack. Through a detailed examination of multiple configurations and Latin hypercube sampling of the design space, this study explores how the resulting thermal and current profiles influence battery pack life. Sensitivity analysis reveals that while reservoir volume predominantly affects the weight, the thermal management system as a whole has a consequential influence on battery life through direct and coupled effects. These findings provide insights into optimal thermal management system designs that balance weight with heat removal potential to maximize battery life.","url":"https://doi.org/10.2514/1.c038418","authors":["Sai Sankalp Shekar","Matthew A. Clarke"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-10-28T12:08:35Z","doi":"10.2514/1.c038418","addedAt":"2026-08-31T06:39:39.468Z","updatedAt":"2026-08-31T06:39:39.468Z"},{"id":"doi:10.1145/3773656.3773687","name":"Scalable eVTOL Aerodynamics Simulations on Heterogeneous HPC Platforms with Minimal-Invasive GPU Porting","source":"crossref","abstract":"","url":"https://doi.org/10.1145/3773656.3773687","authors":["Peter Ohm","Ayato Takii","Kazuto Ando","Rahul Bale","Makoto Tsubokura"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-01-09T10:22:11Z","doi":"10.1145/3773656.3773687","addedAt":"2026-08-31T06:39:39.468Z","updatedAt":"2026-08-31T06:39:39.468Z"},{"id":"doi:10.1016/j.ast.2025.111594","name":"Numerical study on aerodynamic characteristic of eVTOL ducted fan at hovering condition under crosswinds","source":"openalex","abstract":"","url":"https://doi.org/10.1016/j.ast.2025.111594","authors":["Xianqiang Chen","Rongchao Zhao","Lei Zhang","Xiaolei Sun","Yuping Qian","Yangjun Zhang","Yangjun ZHANG"],"tags":["Crosswind","Drag coefficient","Drag","Mechanics","Duct (anatomy)"],"confidence":0.72,"sites":["low-altitude"],"publishedDate":"2025-12-29","doi":"10.1016/j.ast.2025.111594","addedAt":"2026-08-31T06:39:39.468Z","updatedAt":"2026-08-31T14:45:35.251Z"},{"id":"doi:10.1007/978-3-032-19231-8_3","name":"Glass Fiber Based Composites in Aircraft Applications","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-032-19231-8_3","authors":["Yusuf Polat","Asli Nur Polat"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-05-25T05:43:53Z","doi":"10.1007/978-3-032-19231-8_3","addedAt":"2026-08-31T06:39:39.468Z","updatedAt":"2026-08-31T06:39:39.468Z"},{"id":"doi:10.2514/1.c038519","name":"Aerodynamic Optimization of Flying-V Aircraft","source":"crossref","abstract":"High-fidelity aerodynamic optimization based on the Reynolds-averaged Navier–Stokes (RANS) equations is used to investigate the aerodynamic performance of the Flying-V aircraft configuration in the twin-aisle and single-aisle classes. Lift-constrained drag minimization is performed at the start-of-cruise operating point with the aircraft planform fixed and free. Aircraft weights are estimated using empirical methods. The planform-fixed case has design freedom in section shape and twist, while planform-free cases add chord, span, and sweep angles. At a cruise static margin of 6% and an altitude of 13,000 m, exclusive of nacelles, pylons, and excrescences, the optimized fixed-planform twin-aisle-size Flying-V aircraft produces a cruise lift-to-drag ratio of 25.5. Planform optimization, which reduces chord and sweep and increases span, enables a cruise lift-to-drag ratio of 26.7 at the same altitude. The optimized single-aisle-size Flying-V aircraft produces cruise lift-to-drag ratios of 20.2 and 23.2 at altitudes of 10,973 and 13,711 m, respectively, again excluding drag contributions from nacelles, pylons, and excrescences. High-fidelity aerodynamic optimization shows that the Flying-V aircraft is capable of excellent aerodynamic performance at cruise. Strong shocks are absent on all optimized designs. The configuration excels in the twin-aisle class and attains sufficient aerodynamic performance at the single-aisle size to justify further study.","url":"https://doi.org/10.2514/1.c038519","authors":["Rasam R. S. Yazdi","Thomas A. Reist","David W. Zingg"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-01-27T03:08:27Z","doi":"10.2514/1.c038519","addedAt":"2026-08-31T06:39:39.468Z","updatedAt":"2026-08-31T06:39:39.468Z"},{"id":"doi:10.1007/978-3-032-08290-9_22","name":"eVTOL–Ground Vehicle Dynamic Coordination Optimization Algorithm Based on Model Predictive Control","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-032-08290-9_22","authors":["Mutong Ji","Sen Liu","Tianqi Yuan"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-01-02T01:55:34Z","doi":"10.1007/978-3-032-08290-9_22","addedAt":"2026-08-31T06:39:39.468Z","updatedAt":"2026-08-31T06:39:39.468Z"},{"id":"doi:10.1201/9781003746607-3","name":"Uncrewed Aircraft Systems Business Development and Marketing","source":"crossref","abstract":"","url":"https://doi.org/10.1201/9781003746607-3","authors":["Lee Nguyen","Melinda Marion"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-05-21T09:32:09Z","doi":"10.1201/9781003746607-3","addedAt":"2026-08-31T06:39:39.468Z","updatedAt":"2026-08-31T06:39:39.468Z"},{"id":"doi:10.1007/978-3-032-23373-8_7","name":"Vibration-Based Structural Damage Detection Techniques in Aircraft Structures","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-032-23373-8_7","authors":["Sattar Mohammadi Esfarjani"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-05-01T00:24:58Z","doi":"10.1007/978-3-032-23373-8_7","addedAt":"2026-08-31T06:39:39.468Z","updatedAt":"2026-08-31T06:39:39.468Z"},{"id":"doi:10.2514/1.c038409","name":"Aerodynamic and Static Aeroelastic Analysis of a High-Agility Aircraft","source":"crossref","abstract":"An aeroelastic dataset generation method for aircraft based on coupled computational fluid dynamics–computational structural mechanics (CFD-CSM) simulations and a Chimera approach for control surfaces is presented. The procedures are embedded in the multidisciplinary simulation environment SimServer. The TAU code is employed to solve the Reynolds-averaged Navier–Stokes equations. Structural displacements are computed with a modal solver. The dataset production tool is applied to a reconstruction of the Northrop F-5A aircraft, representing aerodynamic characteristics, including static aeroelastic effects. Control surface deflections of the leading-edge flaps, trailing-edge flaps, ailerons, and horizontal stabilizers are considered. The effects of control surface deflections on the flowfield as well as on the force and moment coefficients are analyzed. The influence of structural elasticity on the aircraft configuration is evaluated by comparing the aerodynamic coefficients of the aeroelastic simulations to those of the purely aerodynamic simulations, for which the aircraft is assumed to be fully rigid. In addition, variable dynamic pressure and variable inertia loads at several control surface deflection combinations are investigated. The results show that the structural elasticity of the aircraft significantly influences the aerodynamic force and moment coefficient characteristics for large regions of the flight envelope.","url":"https://doi.org/10.2514/1.c038409","authors":["Christopher Reinbold","Christian Breitsamter","Kaare Sørensen"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-05-25T05:48:46Z","doi":"10.2514/1.c038409","addedAt":"2026-08-31T06:39:39.468Z","updatedAt":"2026-08-31T06:39:39.468Z"},{"id":"doi:10.2514/1.c038393","name":"Hybrid-Electric Design Studies for Long-Endurance Tailsitter Concept","source":"crossref","abstract":"A conceptual-level study was conducted to compare suitability of four different propulsion systems for long-endurance tailsitter aircraft. Diesel, parallel hybrid diesel, turboshaft, and advanced series hybrid solid oxide fuel-cell designs were considered. Each configuration was optimized, and loitering time was varied to quantify performance and high-level design characteristics as the mission changed. Design excursions showing gross weight sensitivity to varying range were also performed. The hybrid-electric configurations allowed for greater design flexibility by partially decoupling hover power requirements from energy conversion system size, resulting in substantially differing optimal airframes and forward flight speeds compared to the single engine aircraft. Results were dependent on best-in-class electric motor technology, batteries concurrently possessing high C-rate and high pack-level specific energy, and a duty cycle consisting of a short hover period and sustained operation at part power. A key insight from this study is that, with the appropriate battery and electric motor technology, hybrid-electric propulsion architectures can enable vertical-takeoff-and-landing-capable, long-range, and fuel-efficient aircraft for low-speed applications by pairing fuel-efficient engine choices with power-dense electric motors and batteries. Solid oxide fuel cells in particular exhibit promising characteristics for these use cases, but widespread adoption in aviation applications requires the maturation of emerging higher specific power technology or combined cycle approaches.","url":"https://doi.org/10.2514/1.c038393","authors":["J. Michael Vegh"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-12-23T12:20:07Z","doi":"10.2514/1.c038393","addedAt":"2026-08-31T06:39:39.468Z","updatedAt":"2026-08-31T06:39:39.468Z"},{"id":"doi:10.2514/6.2026-4789","name":"Wiring Innovation for Electrified Aircraft","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2026-4789","authors":["Dariush Niroomand Rad"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-06-04T17:45:42Z","doi":"10.2514/6.2026-4789","addedAt":"2026-08-31T06:39:39.468Z","updatedAt":"2026-08-31T06:39:39.468Z"},{"id":"doi:10.4050/sm-2026-vlada-5197","name":"Impact of Technology and Mission Variations on Aircraft Designed for Advanced Air Mobility","source":"crossref","abstract":"NASA is conducting investigations in Advanced Air Mobility (AAM) aircraft and operations, including the development of Urban Air Mobility (UAM) aircraft designs that can be used to focus and guide research activities in support of AAM. This report is an investigation of the impact of technology and mission variations on several of the NASA AAM concept aircraft: quadrotor, quiet single main rotor, side-by-side, and tiltrotor configurations, with turboshaft and electric propulsion variants for each. First, the mission and aircraft models of the baseline designs were reassessed and updated, including rotor geometry optimization, update of the rotor performance models, and disk loading optimization. For these eight designs, technology and mission excursions were performed. Relative to the calibration cases that can be considered examples of good design practice, the impact of the weight technology factors is significant. For the electric aircraft, there is a very large impact of battery specific energy (Wh/kg), and correspondingly a very large impact of mission range. The vision of Advanced Air Mobility is driven by missions that will enable new transportation capabilities. Hence it is appropriate to compare Concept Vehicles of different lift and propulsive architectures, all designed to accomplish the same UAM mission. It is also useful however to consider specific missions that can take advantage of the strengths of individual aircraft configurations. So alternate designs were also developed for the concept vehicles: for turboshaft aircraft, longer unrefueled range, including faster cruise speed for the tiltrotor; for electric aircraft, shorter range and more realistic battery weight.","url":"https://doi.org/10.4050/sm-2026-vlada-5197","authors":["Wayne Johnson","Christopher Silva"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-05-29T15:17:21Z","doi":"10.4050/sm-2026-vlada-5197","addedAt":"2026-08-31T06:39:39.468Z","updatedAt":"2026-08-31T06:39:39.468Z"},{"id":"doi:10.1201/9781003746607-8","name":"Aircraft Automation, Artificial Intelligence, and Digital Flight","source":"crossref","abstract":"","url":"https://doi.org/10.1201/9781003746607-8","authors":["Lee Nguyen","Melinda Marion"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-05-21T09:32:09Z","doi":"10.1201/9781003746607-8","addedAt":"2026-08-31T06:39:39.468Z","updatedAt":"2026-08-31T06:39:39.468Z"},{"id":"doi:10.2139/ssrn.7075158","name":"The Qatari 747 Bridge Aircraft Requirements Trades, Mission Risk, and Oversight Questions in a Rapid Presidential-Aircraft Retrofit","source":"crossref","abstract":"&lt;p&gt;&amp;nbsp;This paper examines the Qatari Boeing 747-8i bridge aircraft introduced into the presidential airlift mission pending delivery of the delayed Boeing VC-25B replacement fleet. Version 0.1, submitted to SSRN on July 7, 2026, argued from public engineering and acquisition evidence that the rapidly modified foreign-origin aircraft was probably a reduced-scope capability rather than a full substitute for the VC-25A or future VC-25B. Subsequent public evidence materially strengthens that conclusion. New York Times reporting stated that the aircraft lacks the same defensive countermeasures as the legacy aircraft, including advanced antimissile capabilities, and identified visible omissions involving a lower-level secure exit and additional backup-power capacity. On July 8, after officials identified a credible threat from Iranian proxy forces, the Secret Service urged that the president depart Turkey aboard a legacy VC-25A rather than the bridge aircraft. The White House later announced that the bridge aircraft would be removed from service for additional upgrades. These events establish that its reduced mission envelope is no longer merely an engineering inference; the limitation affected an actual presidential movement. A separate governance issue has also emerged: President Trump repeatedly said the Qatari aircraft would go to his presidential library, while Eric Trump identified legacy aircraft tail number 29000 as the aircraft planned for the library. The paper distinguishes documented facts from technical inference and unresolved classified questions. It calls for independent review of defensive capability, operational restrictions, follow-on integration and testing, total enterprise cost, and a complete property ledger covering the Qatari aircraft, the two additional 747-8 support aircraft, parts, equipment, and taxpayer-funded upgrades.&lt;/p&gt;","url":"https://doi.org/10.2139/ssrn.7075158","authors":["Rosario Milelli"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-07-29T14:08:39Z","doi":"10.2139/ssrn.7075158","addedAt":"2026-08-31T06:39:39.468Z","updatedAt":"2026-08-31T06:39:39.468Z"},{"id":"doi:10.4050/sm-2026-vlada-5209","name":"Impact of Aircraft Parameters on AAM Downwash/Outwash Characteristics","source":"crossref","abstract":"Advanced Air Mobility (AAM) air vehicles with electric vertical takeoff and landing capability come in a wide variety of configurations and are often equipped with many lift and propulsion devices. Lift rotors of AAM configurations often have high disk loading which produce strong downwash and outwash (DWOW) at low speed and hover close to the ground. Recent outwash surveys of AAM aircraft have confirmed the presence of strong DWOW produced by various aircraft configurations [1]. The capability to predict the DWOW characteristics produced by these aircraft can aid in deriving requirements for vertiport design, ground operation, and landing/takeoff flight safety procedures. This paper investigates the sensitivity of selected aircraft design and operation parameters on the overall DWOW. This includes rotor horizontal and vertical separation distances, and near ground flight maneuvers. The focus in this paper is on the DWOW profile near the aircraft to help inform design and operational decisions. Moreover, transient approach/departure simulation for an AAM aircraft are conducted for an understanding of the complex flow field during unsteady flight maneuvers. The Viscous Vortex Particle Method (VVPM) is used to estimate the aircraft DWOW characteristics.","url":"https://doi.org/10.4050/sm-2026-vlada-5209","authors":["Jagdeep Batther","Zoren Habana","Jan Goericke","Chengjian He"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-05-29T15:17:21Z","doi":"10.4050/sm-2026-vlada-5209","addedAt":"2026-08-31T06:39:39.468Z","updatedAt":"2026-08-31T06:39:39.468Z"},{"id":"doi:10.4050/sm-2026-vlada-5208","name":"Downwash Outwash Modeling of Conventional and Multirotor VTOL Aircraft","source":"crossref","abstract":"Recent flight tests and simulations have suggested that the outwash from eVTOL air-taxis could be larger than conventional helicopters of equal weight and thus pose greater safety issues for their operation than previously anticipated. This has prompted interest in the analytical and experimental study of the aerodynamics related to multi-rotor aircraft outwash. This paper will describe work investigating some of the related issues, specifically (1) how wake models and wake model parameters impact outwash predictions in comprehensive rotorcraft analyses and (2) considerations when scaling results from model scale to full scale. This work will also compare outwash predictions for conventional and multi-rotor VTOL aircraft obtained with a Lagrangian free-vortex wake model and with an Eulerian velocity-vorticity grid based wake model.","url":"https://doi.org/10.4050/sm-2026-vlada-5208","authors":["Daniel Wachspress","Alexander Boschitsch","Michael Yu","Glen Whitehouse"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-05-29T15:17:21Z","doi":"10.4050/sm-2026-vlada-5208","addedAt":"2026-08-31T06:39:39.468Z","updatedAt":"2026-08-31T06:39:39.468Z"},{"id":"doi:10.1007/s42405-026-01271-y","name":"Hybrid Deep Learning Framework for Accurate SoC Estimation in eVTOL Systems","source":"crossref","abstract":"","url":"https://doi.org/10.1007/s42405-026-01271-y","authors":["T. Santiago Arockiam","S. Kalimuthu Kumar","Alagar Karthick"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-07-29T08:41:02Z","doi":"10.1007/s42405-026-01271-y","addedAt":"2026-08-31T06:39:39.468Z","updatedAt":"2026-08-31T06:39:39.468Z"},{"id":"doi:10.3390/math14162940","name":"eVTOL Route Planning for Urban Low-Altitude Bus Services Considering Dynamic Passenger Load Variations and Battery Safety Constraints","source":"crossref","abstract":"Urban low-altitude bus operations require coordinated eVTOL route decisions under station time windows, dynamic passenger boarding and alighting, load-dependent energy consumption, opportunity charging, and battery safety requirements. We formulate a mixed-integer programming model for reservation-based shared services that lexicographically minimizes the number of deployed aircraft first and total flight distance second while enforcing passenger-capacity, time-window, charging, and battery-safety constraints. To solve large instances efficiently, an Elite-Pool guided Load-Coupled Energy-aware Adaptive Large Neighborhood Search algorithm (EP-LCE-ALNS) is developed by combining forward load-energy-coupled decoding, multi-start construction, elite-route guidance, and adaptive neighborhood search. Benchmark comparisons show that EP-LCE-ALNS consistently achieves strong solution quality across instances of different scales and outperforms the comparison algorithms on large-scale problems. Sensitivity analyses further show that increasing passenger capacity reduces fleet requirements and flight distance, whereas a larger battery safety margin increases both, providing decision support for fleet configuration, route organization, and safety settings.","url":"https://doi.org/10.3390/math14162940","authors":["Guohua Wu","Wen Xie","Guangzhi Wang","Fangyu Hong","Fen Xing"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-08-14T08:08:29Z","doi":"10.3390/math14162940","addedAt":"2026-08-31T06:39:39.468Z","updatedAt":"2026-08-31T06:39:39.468Z"},{"id":"doi:10.33774/coe-2026-nl0nw","name":"Rapidly Deployable Temporary Aircraft Shelter","source":"crossref","abstract":"Aircraft operating in remote airfields require protective infrastructure that can be installed rapidly. Conventional aircraft hangars are expensive and time-intensive to construct. This report presents the design of a rapidly deployable temporary aircraft shelter that can be quickly installed, dismantled, and relocated with minimal equipment and personnel. The proposed structure uses a modular framing system combined with lightweight structural materials to provide protection from environmental conditions while maintaining portability and structural stability. The design emphasizes ease of transportation, minimal assembly time, and mechanical simplicity. Structural modules are designed for repeatable assembly and disassembly, allowing the shelter to be reused multiple times within a short span of time. By prioritizing modularity, rapid deployment, and ease of handling, the proposed temporary shed provides a practical and scalable solution for protecting aircraft assets in situations where permanent hangar infrastructure is not feasible. Moreover, the shelter design is not limited to aircraft hangars but can also be used as temporary relief shelters during natural disasters.","url":"https://doi.org/10.33774/coe-2026-nl0nw","authors":["Aakaash Singh Chauhan"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-06-21T12:58:24Z","doi":"10.33774/coe-2026-nl0nw","addedAt":"2026-08-31T06:39:39.468Z","updatedAt":"2026-08-31T06:39:39.468Z"},{"id":"doi:10.1007/978-981-95-6988-5_63","name":"Design of Highly Integrated and Low Power Flight Control Computer for eVTOL Vehicles","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-981-95-6988-5_63","authors":["Sheng Han","Hang Tong","Haonan Wang","Jvping Yang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-08-14T08:38:17Z","doi":"10.1007/978-981-95-6988-5_63","addedAt":"2026-08-31T06:39:39.468Z","updatedAt":"2026-08-31T06:39:39.468Z"},{"id":"doi:10.5040/9781472870926.ch01","name":"Lexington-Class Aircraft Carriers 1927–46","source":"crossref","abstract":"","url":"https://doi.org/10.5040/9781472870926.ch01","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-07-29T07:27:02Z","doi":"10.5040/9781472870926.ch01","addedAt":"2026-08-31T06:39:39.468Z","updatedAt":"2026-08-31T06:39:39.468Z"},{"id":"doi:10.62717/3083-7057-2026-1-109","name":"INFLUENCE OF WING GEOMETRIC PARAMETERS ON AIRCRAFT EFFICIENCY","source":"crossref","abstract":"","url":"https://doi.org/10.62717/3083-7057-2026-1-109","authors":["Mykyta Manoilo"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-06-18T08:42:57Z","doi":"10.62717/3083-7057-2026-1-109","addedAt":"2026-08-31T06:39:39.468Z","updatedAt":"2026-08-31T06:39:39.468Z"},{"id":"doi:10.1201/9781003746607-1","name":"Beyond Visual Line of Sight Uncrewed Aircraft Systems","source":"crossref","abstract":"","url":"https://doi.org/10.1201/9781003746607-1","authors":["Lee Nguyen","Melinda Marion"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-05-21T09:32:09Z","doi":"10.1201/9781003746607-1","addedAt":"2026-08-31T06:39:39.468Z","updatedAt":"2026-08-31T06:39:39.468Z"},{"id":"doi:10.2514/1.c038103","name":"Practical Nonlinear Flight Dynamic Modeling for Multirotor Aircraft","source":"crossref","abstract":"High-fidelity yet compact nonlinear flight dynamic models for multirotor aircraft are derived from blade-element and momentum theory for use in control, estimation, and efficient simulation. The aim is to obtain models that are valid over a wide range of flight conditions and identifiable from flight data. Individual rotor force and moment models, along with airframe aerodynamics and motor inertial effects, are incorporated into a quasi-steady, nonlinear model for generic multirotor aircraft. A simulation study is conducted in which the derived model is used to inform the design of statistically principled experiments that facilitate accurate model identification. The relative importance of model parameters is evaluated using a high-fidelity simulation constructed from wind tunnel data. This process informs the selection and estimation of model parameters, which are then used to quantify the contribution of model terms across common flight conditions.","url":"https://doi.org/10.2514/1.c038103","authors":["Jeremy W. Hopwood","Benjamin M. Simmons","Craig A. Woolsey","Jared K. Cooper"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-12-07T15:41:28Z","doi":"10.2514/1.c038103","addedAt":"2026-08-31T06:39:39.468Z","updatedAt":"2026-08-31T06:39:39.468Z"},{"id":"doi:10.2514/1.c038340","name":"Historical Trends and Future Projections of Key Performance Parameters in Aircraft Design","source":"crossref","abstract":"This study presents a comprehensive analysis of historical trends and future projections for key performance parameters (KPPs) in commercial turbofan aircraft, focusing on operational empty weight to maximum takeoff weight ratio (OEW/MTOW), thrust-to-weight ratio (T/W), thrust-specific fuel consumption (TSFC), and lift-to-drag ratio (L/D). Leveraging the open-source FAST Aerobase, comprising over 400 commercial airframes and 200 engines, drawn from authoritative sources such as FAA and EASA certifications, along with enhanced regression modeling, this study systematically examines the evolution of each KPP in response to technological advancements, market demands, and regulatory constraints. The analysis reveals that TSFC improvements align closely with technological advances and primarily increases in bypass ratio enabled by core downsizing. Trends in OEW/MTOW and T/W are dominated by market-driven range, size, and regulatory factors rather than pure material or propulsion breakthroughs, which indicates limited room for further improvement without disruptive configurations. Cruise L/D improvements have been primarily enabled by wingtip devices, although they are approaching structural and regulatory limits. This work lays a robust foundation for the open-source Future Aircraft Sizing Tool (FAST), equipping designers with data-driven insights to support early-stage design decisions and providing a transparent resource for understanding the historical and technical drivers of commercial aircraft performance.","url":"https://doi.org/10.2514/1.c038340","authors":["Huseyin Acar","Maxfield Arnson","Michael Tsai","Gokcin Cinar"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-09-25T07:36:01Z","doi":"10.2514/1.c038340","addedAt":"2026-08-31T06:39:39.468Z","updatedAt":"2026-08-31T06:39:39.468Z"},{"id":"doi:10.2514/1.c038330","name":"Increased-Order Model for Unsteady Aerodynamic Nonlinearities Using Neural Networks","source":"crossref","abstract":"Discrete gust loads are computed based on linearized aerodynamics. Due to the large gust amplitudes, aerodynamic nonlinearities such as shock motion or flow separation may arise and cause significantly different loads compared to the linear prediction. Computational fluid dynamics (CFD) can be applied to account for these nonlinearities, as it has been demonstrated over the past decade for gust loads. Even though CFD is computationally expensive, the results can be used for data-driven surrogate models, which are fast to evaluate. This work suggests increasing the order of an aerodynamic state-space model by adding a nonlinear correction model to predict the nonlinear deviation from the linear solution. Here, a recurrent long short-term memory neural network can be applied. The nonlinear data stem from time-marching gust encounter simulations for the free-flying elastic aircraft at trimmed condition at transonic flow. The motion trajectories together with the gust are then forced into the linear model to calculate the nonlinear residual. The linear aerodynamic loads serve as an input to the neural network to predict the nonlinear load residual. The proposed model is demonstrated using the NASA Common Research Model configuration. The predicted aerodynamic loads are sufficiently close to the nonlinear reference simulations.","url":"https://doi.org/10.2514/1.c038330","authors":["Johan M. Feldwisch"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-11-19T06:36:06Z","doi":"10.2514/1.c038330","addedAt":"2026-08-31T06:39:39.468Z","updatedAt":"2026-08-31T06:39:39.468Z"},{"id":"doi:10.1002/9781394378029.ch8","name":"Aircraft Icing, Ice and Rain Protection Systems","source":"crossref","abstract":"","url":"https://doi.org/10.1002/9781394378029.ch8","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-12-19T21:25:28Z","doi":"10.1002/9781394378029.ch8","addedAt":"2026-08-31T06:39:39.468Z","updatedAt":"2026-08-31T06:39:39.468Z"},{"id":"doi:10.2514/1.c038870","name":"Engine Position Effects on Contrail Evolution for a Realistic Aircraft Configuration","source":"crossref","abstract":"This study investigates the influence of representative engine positions on contrail evolution during the vortex and dissipation regimes, using three-dimensional simulations of a realistic aircraft geometry. Large-eddy simulations are employed, coupled with an Eulerian microphysical bulk model, and initialized using fields obtained from prior Reynolds-averaged Navier–Stokes simulations. This approach enables a consistent transition from near-field jet–vortex interactions to far-field wake dynamics. Three engine placements are examined under two atmospheric stratification and two relative humidity conditions. The results reveal that engine position influences the onset and evolution of vortex instabilities, alters the descent of the vortex pair, and leads to slight changes in the distribution of particles within the wake. Despite these aerodynamic differences, the microphysical properties of the contrails tend to converge over time for the parameters and configurations covered in this study. From a broader perspective, engine placement strongly influences initial contrail formation and early vortex-regime dynamics. At later stages, these differences largely disappear, as vortex dynamics and atmospheric conditions dominate over the initial dilution changes induced by engine position.","url":"https://doi.org/10.2514/1.c038870","authors":["Rémy Annunziata","Nicolas Bonne","François Garnier"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-08-24T07:43:43Z","doi":"10.2514/1.c038870","addedAt":"2026-08-31T06:39:39.468Z","updatedAt":"2026-08-31T06:39:39.468Z"},{"id":"doi:10.1007/978-3-032-19231-8_5","name":"Fiber Metal Laminates in Aircraft Structures","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-032-19231-8_5","authors":["Anand Pai","J. P. Jaideep","Suhas Yeshwant Nayak"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-05-25T05:44:27Z","doi":"10.1007/978-3-032-19231-8_5","addedAt":"2026-08-31T06:39:39.468Z","updatedAt":"2026-08-31T06:39:39.468Z"},{"id":"doi:10.32920/23329106.v1","name":"Evolution of Navigation Displays for Urban Air Mobility Vehicles","source":"crossref","abstract":"&lt;p&gt;Throughout this report, studies have been conducted to explore the ways in which aviation navigation displays can be modified to ease the operation of UAM vehicles, more specifically in dense urban environments. The granularity of the data displayed to vehicle operators has been studied to determine what is necessary for optimum UAM vehicle movement. Discussion of the applicability in today’s relevant certification standards has also take place as a pathway towards integration in future production vehicles. Heavy emphasis has been placed on the enhanced detection of obstacles and terrain within the proximity of the vehicle. Serving as an enhancement and not a replacement, said detection capabilities have the potential to become part of current navigation display architectures.&lt;/p&gt;","url":"https://doi.org/10.32920/23329106.v1","authors":["Jeffery Omorodion"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-06-07T19:22:50Z","doi":"10.32920/23329106.v1","addedAt":"2026-08-31T06:39:39.645Z","updatedAt":"2026-08-31T06:39:56.012Z"},{"id":"doi:10.32920/32254782.v1","name":"Resilient Navigation and Communication Architecture for Urban Air Mobility","source":"crossref","abstract":"&lt;p dir=\"ltr\"&gt;Urban Air Mobility (UAM) vehicles operating at Very Low Level (VLL) altitudes depend on GNSS navigation and external traffic management communication for safe autonomous operation, yet both subsystems are vulnerable to spoofing, jamming, and link degradation. This thesis designs and partially verifies a Resilient Navigation and Communication Architecture (RNCA) for a representative UAM vehicle, integrating three subsystems: an Integrity Monitoring Subsystem (IMS) based on the Normalised Innovation Squared (NIS) chi-square test, a Degraded-Mode Decision Module (DMDM) implementing a four-state graceful-degradation machine, and a Communication Resilience Policy (CRP) grounded in FAA and ICAO regulatory standards.&lt;/p&gt;&lt;p dir=\"ltr\"&gt;An Extended Kalman Filter (EKF) fuses GNSS position measurements and INS dead reckoning to produce the innovation vector monitored by the IMS. The analytically derived detection threshold γ = 9.2103 (from χ2inv(0.99, 2)) guarantees a false alarm rate below 1%. Simulation of a 10m GNSSstep-bias fault demonstrates detection latency td = 0.0s, satisfying FR-01. The DMDMexecutes the full Nominal → Caution → Degraded → Recovery → Nominal state cycle. The CRP parameters τmax = 2.0s and Lmax = 1.0s are derived from the FAA ConOps and ICAO UTMFramework respectively.&lt;/p&gt;&lt;p dir=\"ltr\"&gt;Key limitations—slow-ramp spoofing sensitivity and dropout detection via NIS alone—are identified with reference to the literature, and AIME sliding-window monitoring and Monte Carlo PLOS quantification are proposed as the primary future work.&lt;/p&gt;&lt;p dir=\"ltr\"&gt;Keywords: Urban Air Mobility, GNSS integrity monitoring, Kalman filter, Normalised Innovation Squared, spoofing detection, graceful degradation, communication resilience.&lt;/p&gt;","url":"https://doi.org/10.32920/32254782.v1","authors":["Babak Nassir Tafreshi"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-05-19T13:19:10Z","doi":"10.32920/32254782.v1","addedAt":"2026-08-31T06:39:39.645Z","updatedAt":"2026-08-31T06:39:56.012Z"},{"id":"doi:10.5220/0010557203520359","name":"Urban Air Mobility (UAM): A Model Proposal based on Agents using Netlogo","source":"crossref","abstract":"","url":"https://doi.org/10.5220/0010557203520359","authors":["Felipe Ferrare","Derick Baum","Jorge Almeida Júnior","João Camargo Júnior","Paulo Cugnasca"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2021-07-22T16:49:45Z","doi":"10.5220/0010557203520359","addedAt":"2026-08-31T06:39:39.645Z","updatedAt":"2026-08-31T06:39:56.013Z"},{"id":"doi:10.2139/ssrn.4175959","name":"Capacity-Constrained Urban Air Mobility Scheduling","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.4175959","authors":["Qinshuang Wei","Gustav Nilsson","Samuel Coogan"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2022-07-30T03:07:54Z","doi":"10.2139/ssrn.4175959","addedAt":"2026-08-31T06:39:39.645Z","updatedAt":"2026-08-31T06:39:56.013Z"},{"id":"doi:10.2139/ssrn.3792457","name":"Will urban air mobility fly? The efficiency and distributional impacts of UAM in different urban spatial structures","source":"crossref","abstract":"Recent technological developments open up possibilities for introducing a vast number of novel mobility concepts in urban environments. One of these new concepts is urban air mobility (UAM). It makes use of passenger drones for on-demand transport in urban settings, promising high travel speeds for those willing and able to pay. This research aims to answer the question how benefits from UAM will be distributed, taking into account the spatial dimension and the differential impacts on low- and high-skilled households. We develop a framework that can more generally be used to assess the welfare impacts resulting from the introduction of novel transport modes. The development of an urban spatial computable general equilibrium model building on the polycentric modelling tradition developed by Anas and co-authors allows for an analysis of mutually dependent effects on the land, labour and product markets, triggered by changes on the transport market. Allowing for an endogenous spatial structure through the introduction of agglomeration effects and an amenity-based approach, the framework investigates the relevance of the initial spatial structure for the impact of the introduction of UAM. Incorporating different skill levels of households allows to assess location choice and travel behaviour for households with different characteristics. A numerical simulation of the model shows that the different initial spatial structures impose comparable welfare changes. Variations in UAM features like marginal cost, prices, land demand for infrastructure, vertical travel speed and access and egress times have a (much) more decisive impact on modal choice and welfare effects than the initial urban structure. Simulations show that considering households of different skill levels brings additional insights, as welfare effects of UAM introduction strongly differ between groups and sometimes even go in opposing directions.&lt;br&gt;","url":"https://doi.org/10.2139/ssrn.3792457","authors":["Anna Straubinger","Erik Verhoef","Henri L.F. de Groot"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2021-02-26T03:19:01Z","doi":"10.2139/ssrn.3792457","addedAt":"2026-08-31T06:39:39.645Z","updatedAt":"2026-08-31T06:39:56.013Z"},{"id":"doi:10.5194/egusphere-egu23-5474","name":"Examples of transdisciplinary research for urban air quality and mobility policy","source":"crossref","abstract":"&amp;lt;p&amp;gt;The knowledge deficit model does not work, that much is clear. But how can research results be effectively integrated in policy making? While a variety of options exist, this presentation will provide some concrete examples of one approach for how scientific research has successfully informed policy at the local (city) level. Research projects aimed at improving our understanding of urban air pollution and the effect of mobility policies were carried out in Berlin, Germany in collaboration with partners in local authorities. Air quality measurements accompanied the implementation of mobility policies, such as street closures and the implementation of a bike lane, to quantify the influence of the policies on air quality and air pollution exposure for citizens. Steps throughout the research process from concept development to the measurements to the results were designed and accompanied by both scientists and local authorities. Such a collaboration resulted in a more effective uptake of results in policy considerations than similar projects carried out with less engagement throughout. Examples will be provided and used as a framework to discuss some of the practical aspects, including challenges and opportunities, for conducting effective transdisciplinary research.&amp;lt;/p&amp;gt;","url":"https://doi.org/10.5194/egusphere-egu23-5474","authors":["Erika von Schneidemesser","Alexandre Caseiro","Sean Schmitz"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-02-22T18:48:36Z","doi":"10.5194/egusphere-egu23-5474","addedAt":"2026-08-31T06:39:39.646Z","updatedAt":"2026-08-31T06:39:56.013Z"},{"id":"doi:10.2139/ssrn.4974087","name":"Analysis of Potential User Characteristics According to a Staged Urban Air Mobility Plan","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.4974087","authors":["jinhak lee","Do-Gyeong Kim"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-10-02T08:28:51Z","doi":"10.2139/ssrn.4974087","addedAt":"2026-08-31T06:39:39.646Z","updatedAt":"2026-08-31T06:39:56.013Z"},{"id":"doi:10.2514/6.2025-0346","name":"Vision-Based Distributed Sensing at Vertiports for Advanced Air Mobility and Urban Air Mobility Approach and Landing","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2025-0346","authors":["Evan Kawamura","Keerthana Kannan","Thomas Lombaerts","Vahram Stepanyan","Chester Dolph","Nelson Brown","Corey A. Ippolito"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-02-12T09:44:16Z","doi":"10.2514/6.2025-0346","addedAt":"2026-08-31T06:39:39.646Z","updatedAt":"2026-08-31T06:39:56.013Z"},{"id":"doi:10.1016/j.jairtraman.2025.102750","name":"Symbiotic evolution mechanism of urban air mobility industrial innovation ecosystem: Evidence from low altitude air mobility in Shenzhen","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.jairtraman.2025.102750","authors":["Xinhui Ren","Jiarui Wang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-02-13T16:37:44Z","doi":"10.1016/j.jairtraman.2025.102750","addedAt":"2026-08-31T06:39:39.646Z","updatedAt":"2026-08-31T06:39:56.013Z"},{"id":"doi:10.3390/aerospace11070584","name":"A Method for Air Route Network Planning of Urban Air Mobility","source":"crossref","abstract":"Urban air mobility is an effective solution to address the current issue of ground traffic congestion in future cities. However, as the user scale continues to expand, the current civil aviation flight scheduling and control methods are becoming inadequate to meet the high-volume flight guarantee demands of future urban air transportation. In order to effectively handle and resolve potential issues in this field in the future, this paper proposes a method for planning urban air mobility route networks. The planning process is divided into two stages: construction and optimization. Methods for constructing urban air mobility route networks based on flight routes and global optimization methods based on node movement are proposed in each stage. In the construction stage, a complete construction process is designed to generate routes based on existing flight routes, in line with the trend of urban air transportation development. In the optimization stage, inspired by the ant colony algorithm, node transfer rules and information transfer rules are incorporated to design a global optimization process and algorithm for route networks. Experimental results demonstrate the effectiveness and advancement of the proposed planning method.","url":"https://doi.org/10.3390/aerospace11070584","authors":["Jie Li","Di Shen","Fuping Yu","Duo Qi"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-07-17T15:15:19Z","doi":"10.3390/aerospace11070584","addedAt":"2026-08-31T06:39:39.646Z","updatedAt":"2026-08-31T06:39:56.013Z"},{"id":"doi:10.5194/ems2024-354","name":"Understanding the impact of varying geometry level of detail in multi-direction urban RANS simulations tailored for urban air-mobility viability.","source":"crossref","abstract":"Wind flow predictions in realistic urban areas are sensitive to a wide range of governing parameters such as building resolution, wind incidence, urban morphology, and underlying topography to list a few. In this study, we quantify the impact of the level of detail (LoD) of the urban built environment and the inflow direction (&amp;#952;) on wind-safety for urban-air mobility using a Reynolds-Averaged Navier-Stokes (RANS) simulation framework. To isolate the effect of LoD and &amp;#952;, we chose the TU Delft campus (radius of ~ 1 km) and the city of Den Haag (radius of ~ 1.5 km) as representative urban environments that contain a variety of urban fabric and incident wind conditions.The simulation framework consists of steady state Reynolds-Averaged Navier-Stokes simulations using a second-order accurate finite volume formulation that solves the governing equations using the SIMPLE algorithm at 5-degree resolution (i.e., 72 &amp;#952;&amp;#8217;s over a 360-degree range) with a reference wind velocity of 5 m/s at 10 m above the ground. In addition to varying the inflow wind direction, we also compare two LoD&amp;#8217;s, specifically, LoD1.2 (lower quality of building resolution, industry standard for wind engineering simulations) and LoD2.2 (higher quality of building resolution), resulting in a total of 288 simulations.First, we assessed the effect of &amp;#952; resolution on the prediction capabilities of the wind-rose weighted directionally-averaged peak wind velocities (Ua) and found that when compared to the 5-degree resolution cases with 10-, 15-, and 20-degree resolution, there is a selection bias on how accurately high-wind regions are predicted. Specifically, when the Ua is computed using 5- and 15-degree resolution, there is a better agreement as opposed to the 10- and 20-degree resolution case. These results suggest that even with a minimum resolution of 10-degree&amp;#8217;s (for &amp;#952;) the peak Ua locations can be subject to a selection bias for both, simple and relatively complex wind-roses. Next, we studied the effect of varying LoD&amp;#8217;s and found that LoD2.2 shows substantially different peak Ua regions when compared to LoD1.2. Directly comparing these two LoDs, we find that minimally LoD2.2 should be used for cases where peak Ua are of interest at approximately 10-20 m height above the ground which are of most interest in terms of urban air mobility.This work represents a systematic review of the effect of wind incidence direction and level of detail on the flow prediction capabilities in realistic urban environments. We anticipate that our findings will be useful to urban planners and engineers working to improve the air-quality, wind comfort, and explore the possibilities of UAV&amp;#8217;s as a potential mode of last mile mobility within the urban-air space, to list a few.","url":"https://doi.org/10.5194/ems2024-354","authors":["Akshay Patil","Clara Garcia-Sanchez"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-07-05T08:06:31Z","doi":"10.5194/ems2024-354","addedAt":"2026-08-31T06:39:39.646Z","updatedAt":"2026-08-31T06:39:56.013Z"},{"id":"doi:10.17118/11143/20948","name":"Aeroelastic behaviour of urban air mobility aircraft with distributed\n\t\t\t\t\t\telectric propulsion subjected to urban wind gusts","source":"crossref","abstract":"","url":"https://doi.org/10.17118/11143/20948","authors":["Antoine Boissinot","Mojtaba Kheiri"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-12-11T22:03:40Z","doi":"10.17118/11143/20948","addedAt":"2026-08-31T06:39:39.646Z","updatedAt":"2026-08-31T06:39:56.013Z"},{"id":"doi:10.1016/j.uclim.2024.102180","name":"An assessment of the relationship between micro-mobility use and air quality in selected cities","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.uclim.2024.102180","authors":["Emre Kuşkapan"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-10-29T10:07:29Z","doi":"10.1016/j.uclim.2024.102180","addedAt":"2026-08-31T06:39:39.646Z","updatedAt":"2026-08-31T06:39:56.013Z"},{"id":"doi:10.2139/ssrn.5701416","name":"Sparse Identification of Nonlinear Dynamics-based Nonlinear Disturbance Observer for Urban Air Mobility","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.5701416","authors":["Dongwoo  Jayden Lee","Hyo-Choong Bang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-11-04T04:40:23Z","doi":"10.2139/ssrn.5701416","addedAt":"2026-08-31T06:39:39.646Z","updatedAt":"2026-08-31T06:39:56.013Z"},{"id":"doi:10.2139/ssrn.4043352","name":"Environmental Impact Analysis of On-Demand Urban Air Mobility","source":"crossref","abstract":"A previous study by the authors addressed planning questions regarding the optimal placement of vertiports and estimated diverted demand from ground transportation modes by combining network design and travel mode choice models. This study focuses on the environmental impact of on-demand urban air mobility. Using the Tampa Bay region as a study case, the environmental impact of UAM implementation was modeled. Emissions before and after introducing UAM, including greenhouse gases (CO2, N2O, CH4) and other air pollutants (NOx, SO2, PM2.5), were compared. A sensitivity analysis was conducted to further evaluate the impacts from four aspects: 1) penetration of pure electric vehicles in the ground transportation fleet, 2) proportion of non-renewable energy in electricity production sources, 3) pricing of on-demand UAM services, and 4) the number of vertiports in the service region.","url":"https://doi.org/10.2139/ssrn.4043352","authors":["Yu Zhang","Pengli Zhao","Joseph Post","Zhiqiang Wu","Wenbo Du"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2022-02-25T22:48:22Z","doi":"10.2139/ssrn.4043352","addedAt":"2026-08-31T06:39:39.646Z","updatedAt":"2026-08-31T06:39:56.013Z"},{"id":"doi:10.2139/ssrn.5056496","name":"Sustainable Urban Aviation: The Role of Air Taxis in Reducing Emissions and Enhancing Mobility","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.5056496","authors":["Arthur Dela Pe&ntilde;a"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-12-14T21:48:49Z","doi":"10.2139/ssrn.5056496","addedAt":"2026-08-31T06:39:39.646Z","updatedAt":"2026-08-31T06:39:56.013Z"},{"id":"doi:10.1016/j.trpro.2020.02.058","name":"Urban Air Mobility: Safety Challenges","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.trpro.2020.02.058","authors":["Olja Cokorilo"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2020-03-20T12:51:58Z","doi":"10.1016/j.trpro.2020.02.058","addedAt":"2026-08-31T06:39:39.646Z","updatedAt":"2026-08-31T06:39:56.013Z"},{"id":"doi:10.1007/978-3-030-54621-2_747-1","name":"Urban Air Mobility","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-030-54621-2_747-1","authors":["Liding Xu","Claudia D’Ambrosio","Sonia Haddad Vanier","François Sillion"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-04-03T10:43:37Z","doi":"10.1007/978-3-030-54621-2_747-1","addedAt":"2026-08-31T06:39:39.646Z","updatedAt":"2026-08-31T06:39:56.013Z"},{"id":"doi:10.4271/arp7216","name":"Exterior Lighting Recommendations for Urban Air Mobility and Electric Vertical Takeoff and Landing Aircraft","source":"crossref","abstract":"&lt;div class=\"section abstract\"&gt; &lt;div class=\"htmlview paragraph\"&gt;This document covers external lighting for Electric Vertical Takeoff and Landing (E-VTOL) and Urban Air Mobility (UAM) vehicles. It discusses lights that may be installed both to meet regulatory requirements as well as for customer comfort and aircraft recognition. It also discusses the differences between UAM vehicles and other aircraft and how those differences impact the lighting.&lt;/div&gt; &lt;/div&gt;","url":"https://doi.org/10.4271/arp7216","authors":["null null"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-04-11T00:00:26Z","doi":"10.4271/arp7216","addedAt":"2026-08-31T06:39:39.646Z","updatedAt":"2026-08-31T06:39:56.013Z"},{"id":"doi:10.2514/6.2021-0773","name":"A Review on Cybersecurity Vulnerabilities for Urban Air Mobility","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2021-0773","authors":["Anthony C. Tang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2021-01-05T07:59:38Z","doi":"10.2514/6.2021-0773","addedAt":"2026-08-31T06:39:39.646Z","updatedAt":"2026-08-31T06:39:56.012Z"},{"id":"doi:10.1007/s44327-026-00228-w","name":"Urban air mobility and the problem of moral prioritization","source":"crossref","abstract":"","url":"https://doi.org/10.1007/s44327-026-00228-w","authors":["Shane Epting"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-04-11T11:51:14Z","doi":"10.1007/s44327-026-00228-w","addedAt":"2026-08-31T06:39:39.646Z","updatedAt":"2026-08-31T06:39:56.013Z"},{"id":"doi:10.1201/9781003339953","name":"Urban Air Mobility","source":"crossref","abstract":"","url":"https://doi.org/10.1201/9781003339953","authors":["Vishnu Kumar Kaliappan","Mohana Sundaram Kuppusamy","Dugki Min"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-01-20T15:58:27Z","doi":"10.1201/9781003339953","addedAt":"2026-08-31T06:39:39.646Z","updatedAt":"2026-08-31T06:39:56.013Z"},{"id":"doi:10.26434/chemrxiv-2025-wcbc5","name":"Empowering Urban Skies: Energy Storage Solutions with Batteries, Fuel Cells, and Supercapacitors for Advanced Air Mobility and Air Taxi Systems","source":"crossref","abstract":"The rapid growth of urbanization and increasing congestion in metropolitan areas have spurred the development of Advanced Air Mobility (AAM) systems, with electric and hybrid air taxis emerging as a promising solution for sustainable urban transport. Central to the viability of AAM is the selection and integration of suitable energy storage and conversion technologies, which directly impact safety, endurance, cost, and scalability. This paper provides a comprehensive review of the current state and future prospects of batteries, supercapacitors, and fuel cells in the context of AAM applications. Batteries, particularly lithium-ion chemistries, are currently the most mature technology, enabling near-term demonstrations and certification efforts. However, their limitations in energy density, charging time, and thermal management restrict endurance and necessitate innovations in solid-state and lithium–sulfur variants. Supercapacitors, though limited in energy capacity, offer unparalleled power density and rapid response, making them ideal for handling transient loads during take-off, landing, and regenerative braking. Fuel cells present a promising long-term solution, providing high specific energy and zero carbon emissions at the point of use. Yet, their adoption depends heavily on the establishment of scalable hydrogen production, storage, and refueling infrastructure. The review further highlights hybrid architectures that combine these technologies, such as battery–supercapacitor and battery–fuel cell systems, to exploit complementary advantages. Integration challenges, including thermal management, power electronics, and intelligent energy management systems, are analyzed alongside safety considerations and certification requirements. Case studies of ongoing demonstrators illustrate the diverse strategies being pursued globally. Finally, the paper identifies key challenges and future directions, emphasizing material innovations, infrastructure readiness, supportive policy frameworks, and a roadmap for next-generation AAM energy systems. The findings underscore that while battery-powered air taxis are poised for near-term deployment, the long-term sustainability of AAM will rely on hybrid solutions and breakthroughs in advanced materials and hydrogen technologies.","url":"https://doi.org/10.26434/chemrxiv-2025-wcbc5","authors":["Ashish Garg","Bhargav Akkinepally","Dineshkumar Harursampath","Jaesool Shim"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-10-01T19:59:02Z","doi":"10.26434/chemrxiv-2025-wcbc5","addedAt":"2026-08-31T06:39:39.646Z","updatedAt":"2026-08-31T06:39:56.013Z"},{"id":"doi:10.26599/etsd.2025.9190056","name":"&amp;lt;p&amp;gt;Manuscript:&amp;lt;strong&amp;gt; Quantitative assessment of mid-air collision probability in urban air mobility: A safety barrier-based framework for integrated operations&amp;lt;/strong&amp;gt;&amp;lt;/p&amp;gt;","source":"crossref","abstract":"","url":"https://doi.org/10.26599/etsd.2025.9190056","authors":["Jinpeng Zhang","Yan Xu","Kaiquan Cai","Victor Gordo","Gokhan Inalhan"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-09-07T11:44:21Z","doi":"10.26599/etsd.2025.9190056","addedAt":"2026-08-31T06:39:39.646Z","updatedAt":"2026-08-31T06:39:56.013Z"},{"id":"doi:10.2514/6.2023-0785","name":"A Series of Macroscopic Models for Urban Air Mobility Traffic Flow","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2023-0785","authors":["Alexandra Fedrigo"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-01-20T21:50:50Z","doi":"10.2514/6.2023-0785","addedAt":"2026-08-31T06:39:39.646Z","updatedAt":"2026-08-31T06:39:56.013Z"},{"id":"doi:10.1016/j.jairtraman.2024.102601","name":"Innovation strategies for non-existent markets - Profiting from urban air mobility","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.jairtraman.2024.102601","authors":["Nick Ehrhardt","Paul Herrmann Horlacher","Anna Straubinger"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-05-10T10:10:18Z","doi":"10.1016/j.jairtraman.2024.102601","addedAt":"2026-08-31T06:39:39.646Z","updatedAt":"2026-08-31T06:39:56.013Z"},{"id":"doi:10.1016/j.jairtraman.2023.102436","name":"Demand analysis in urban air mobility: A literature review","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.jairtraman.2023.102436","authors":["Qi Long","Jun Ma","Feifeng Jiang","Christopher John Webster"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-06-19T17:18:59Z","doi":"10.1016/j.jairtraman.2023.102436","addedAt":"2026-08-31T06:39:39.646Z","updatedAt":"2026-08-31T06:39:56.012Z"},{"id":"doi:10.2514/1.d0207","name":"Dynamic Addressing for Urban Air Mobility Vehicles","source":"crossref","abstract":"","url":"https://doi.org/10.2514/1.d0207","authors":["Sara Ghayouraneh","James M. Rankin","Samir M. El-Ghazaly"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2020-07-22T11:26:00Z","doi":"10.2514/1.d0207","addedAt":"2026-08-31T06:39:39.646Z","updatedAt":"2026-08-31T06:39:56.013Z"},{"id":"doi:10.1142/q0565","name":"The Evolution and Greening of the Aviation Industry","source":"crossref","abstract":"","url":"https://doi.org/10.1142/q0565","authors":["Cristiano Rizzi","Luigi Rusconi"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-12-19T03:54:28Z","doi":"10.1142/q0565","addedAt":"2026-08-31T06:39:39.646Z","updatedAt":"2026-08-31T06:39:56.013Z"},{"id":"doi:10.3390/enc2023-15442","name":"Local Differential GNSS Augmentation for Integration into Urban Air Mobility","source":"crossref","abstract":"","url":"https://doi.org/10.3390/enc2023-15442","authors":["Daniel Gerbeth","Maria Caamano","Chen Zhu"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-01-09T04:37:00Z","doi":"10.3390/enc2023-15442","addedAt":"2026-08-31T06:39:39.646Z","updatedAt":"2026-08-31T06:39:56.013Z"},{"id":"doi:10.2514/6.2025-0929","name":"Generic Urban Air Mobility Simulation","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2025-0929","authors":["Michael J. Acheson","Irene M. Gregory","Andrew Patterson"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-02-12T09:44:16Z","doi":"10.2514/6.2025-0929","addedAt":"2026-08-31T06:39:39.646Z","updatedAt":"2026-08-31T06:39:56.013Z"},{"id":"doi:10.2139/ssrn.6083298","name":"Density Dependent Wind Aware Vertiport Placement for Optimized Urban Air Mobility Networks","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.6083298","authors":["Shixiong Zhou","Tian Luan","Fan Yang","Shuai Jia"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-01-26T16:03:17Z","doi":"10.2139/ssrn.6083298","addedAt":"2026-08-31T06:39:39.646Z","updatedAt":"2026-08-31T06:39:56.013Z"},{"id":"doi:10.2514/6.2020-2904","name":"Strategic Planning with Unscented Optimal Guidance for Urban Air Mobility","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2020-2904","authors":["Hok Kwan Ng"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2020-06-08T21:02:08Z","doi":"10.2514/6.2020-2904","addedAt":"2026-08-31T06:39:39.646Z","updatedAt":"2026-08-31T06:39:56.013Z"},{"id":"doi:10.4018/979-8-3693-8462-6.ch015","name":"Rotor-Wing Interaction in Urban Air Mobility Tiltrotors","source":"crossref","abstract":"Rotor-wing interaction in tiltrotor configurations involves complex aerodynamic phenomena resulting from the interaction between rotor flow and wing structure. This interaction influences tiltrotor performance, stability, and noise characteristics, especially in urban air mobility (UAM) systems. In UAM tiltrotors, the rotor diameter is smaller relative to the wing chord, and multirotors are often employed. This chapter provides an overview of the history and scope of rotor-wing interaction, presenting experimental results from small-scale models, along with the techniques and methodologies employed. It also discusses analytical predictions and numerical simulations used to study this interaction. Furthermore, the chapter identifies promising areas for future research aimed at advancing the understanding and application of rotor-wing interaction in tiltrotor designs. These efforts will help improve the performance and efficiency of tiltrotors, addressing challenges related to noise, stability, and optimization of multirotor configurations for UAM applications.","url":"https://doi.org/10.4018/979-8-3693-8462-6.ch015","authors":["Mingtai Chen"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-08-05T12:07:31Z","doi":"10.4018/979-8-3693-8462-6.ch015","addedAt":"2026-08-31T06:39:39.646Z","updatedAt":"2026-08-31T06:39:56.013Z"},{"id":"doi:10.2139/ssrn.4978774","name":"Advanced Mathematical Model for Evaluating Flight and Technical Characteristics of Electric Rotary-Wing Aircraft in Urban Air Mobility","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.4978774","authors":["Omair Alhatim"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-10-07T15:51:17Z","doi":"10.2139/ssrn.4978774","addedAt":"2026-08-31T06:39:39.646Z","updatedAt":"2026-08-31T06:39:56.013Z"},{"id":"doi:10.70675/ed0fa404z215bz4c94za97bz5fa93f702f86","name":"Exposure to urban air pollution and daily mobility : is model complexity worth it? Insights from an agent-based approach","source":"crossref","abstract":"Exposition à la pollution de l'air en ville et mobilité quotidienne : des modèles plus complexes pour une meilleure évaluation ? Perspectives issues d'une approche multi-agent L’exposition à la pollution atmosphérique contribue au développement de maladies chroniques, cardio-vasculaires et respiratoires ainsi qu’à la mortalité, particulièrement dans les environnements urbains où les concentrations des polluants comme le dioxyde d’azote ou les particules fines présentent des gradients spatiaux importants. Alors que les évaluations d’exposition d’une population et des impacts sanitaires induits reposent généralement sur les concentrations de polluants uniquement estimées au domicile, des travaux récents ont montré le potentiel des chaînes de modélisation intégrées mobilité – émissions – qualité de l’air – exposition pour représenter plus fidèlement l’exposition des individus en tenant compte de l’exposition au lieu de travail ou dans les environnements de transport, appelée exposition dynamique. Cette thèse vise à mettre en perspective la modélisation de l’exposition individuelle à la pollution de l’air en ville dans une chaîne de modèles mobilité – émissions – qualité de l’air – exposition reposant sur une approche multi-agents et les implications de cette approche pour l’analyse d’inégalités environnementales au regard de la complexité de la chaîne de modèles. En particulier, j’étudie dans quelle mesure les résultats sont sensibles ou non à une complexification croissante de cette chaîne. À cette fin, je propose dans un premier temps un cadre d’analyse de l’exposition comme Modèle Environnemental Intégré et des incertitudes associées. De telles approches lient modélisation de la mobilité et de la qualité de l’air à plusieurs égards : d’une part des émissions de polluants provenant de la mobilité quotidienne des individus et d’autre part de l’exposition dynamique des individus dans les micro-environnements qu’ils traversent. Je présente dans un second temps une chaîne de modélisation de l’exposition individuelle à fine échelle, avec pour principaux développements (a) la représentation des émissions du trafic routier à partir d’une flotte de voitures intégrant le type de voiture possédé par chaque ménage selon leurs caractéristiques socioéconomiques et de mobilité, (b) la modélisation de la ville sous forme de réseau de rues canyon à partir du réseau routier OpenStreetMap et (c) le développement d’un modèle d’exposition dynamique à la pollution de l’air à l’échelle de la rue. Ce cadre de modélisation est appliqué à l’Île-de-France et s’appuie sur le modèle de synthèse de population eqasim, le modèle multi-agents de mobilité MATSim, le modèle d’émissions HBEFA et un couplage de modèles pour la qualité de l’air composé du modèle régional de chimie-transport Polair3D et du modèle de réseau de rues MUNICH pour simuler les rues canyons, tous deux incluant le module chimique SSH-aérosol pour simuler la formation de polluants secondaires. Ce travail fournit ainsi des outils d’évaluation de l’exposition des individus réplicables dans d’autres métropoles, basé sur des modèles en accès ouvert. Dans un troisième temps, je porte un regard croisé sur les analyses socio-spatiales de l’exposition individuelle permises par les approches multi-agents et sur la portée des incertitudes de modélisation découlant des hypothèses usuelles de l’évaluation d’exposition, c'est-à-dire dans quelle mesure les résultats varient en fonction du degré de complexité de la chaîne. Ces analyses concernent les inégalités spatiales et disparités socioéconomiques d’exposition, mais aussi la part des espaces-activités dans l’exposition individuelle. Ces travaux visent ainsi à éclairer les chercheurs, praticiens et décideurs publics sur les méthodes de modélisation de l’exposition à la pollution de l’air en ville et sur quel degré de complexité adopter en fonction des besoins ; ces évaluations étant essentielles à la fois pour l’évaluation des impacts sanitaires de la ","url":"https://doi.org/10.70675/ed0fa404z215bz4c94za97bz5fa93f702f86","authors":["Marjolaine Lannes"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-07-15T09:41:10Z","doi":"10.70675/ed0fa404z215bz4c94za97bz5fa93f702f86","addedAt":"2026-08-31T06:39:39.646Z","updatedAt":"2026-08-31T06:39:56.013Z"},{"id":"doi:10.1109/icns52807.2021.9441631","name":"Urban Air Mobility: Factors Affecting Vertiport Capacity","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icns52807.2021.9441631","authors":["Mihir Rimjha","Antonio Trani"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2021-06-03T08:07:26Z","doi":"10.1109/icns52807.2021.9441631","addedAt":"2026-08-31T06:39:39.646Z","updatedAt":"2026-08-31T06:39:56.013Z"},{"id":"doi:10.2514/6.2023-0548","name":"Performance Modeling of Urban Air Mobility Vehicles to Support Air Traffic Management Research","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2023-0548","authors":["David Hartman","Christopher L. Hartman","John V. Foster"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-01-20T21:50:50Z","doi":"10.2514/6.2023-0548","addedAt":"2026-08-31T06:39:39.646Z","updatedAt":"2026-08-31T06:39:56.013Z"},{"id":"doi:10.64631/nshy6504","name":"Acoustic Data from the Moog S-250 Urban Air Mobility Vehicle Hover Test","source":"crossref","abstract":"","url":"https://doi.org/10.64631/nshy6504","authors":["Brenda S Henderson","Alexander Svetgoff","Jordan D Cluts"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-06-15T14:23:29Z","doi":"10.64631/nshy6504","addedAt":"2026-08-31T06:39:39.646Z","updatedAt":"2026-08-31T06:39:56.013Z"},{"id":"doi:10.2514/6.2021-2210","name":"Simulation of Emerging Urban Air Mobility Noise Propagation Using Acoustic Raytracing Techniques In Complicated 3D Urban Environments","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2021-2210","authors":["Kevin Nelson","Bryan Franklin"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2021-07-28T15:32:16Z","doi":"10.2514/6.2021-2210","addedAt":"2026-08-31T06:39:39.646Z","updatedAt":"2026-08-31T06:39:56.013Z"},{"id":"doi:10.21447/jup.2021.12.1.89","name":"Classification of Operation Model and Ground Infrastructure for Urban Air Mobility (UAM)","source":"crossref","abstract":"","url":"https://doi.org/10.21447/jup.2021.12.1.89","authors":["Jae-Hong Lee","Sungjo Hong"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2021-06-25T07:10:52Z","doi":"10.21447/jup.2021.12.1.89","addedAt":"2026-08-31T06:39:39.646Z","updatedAt":"2026-08-31T06:39:56.013Z"},{"id":"doi:10.3390/urbansci9100425","name":"RETRACTED: Baek, H.Y.; Kim, J.H. Prediction of Urban Air Mobility and Drone Accident Rates and the Role of Urban Management Systems. Urban Sci. 2025, 9, 24","source":"crossref","abstract":"The journal retracts the article titled “Prediction of Urban Air Mobility and Drone Accident Rates and the Role of Urban Management Systems” [...]","url":"https://doi.org/10.3390/urbansci9100425","authors":["Han Yeol Baek","Jung Hoon Kim"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-10-15T07:17:52Z","doi":"10.3390/urbansci9100425","addedAt":"2026-08-31T06:39:39.646Z","updatedAt":"2026-08-31T06:39:56.013Z"},{"id":"doi:10.31691/kasl36.3.2.","name":"A Study on the Application Aviation Liability Insurance for Urban Air Mobility by the Law","source":"crossref","abstract":"","url":"https://doi.org/10.31691/kasl36.3.2.","authors":["Kyeong-Won Baek","Ho-won Hwang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2022-05-27T06:41:46Z","doi":"10.31691/kasl36.3.2.","addedAt":"2026-08-31T06:39:39.646Z","updatedAt":"2026-08-31T06:39:56.013Z"},{"id":"doi:10.1364/lsc.2024.lsm4c.4","name":"Detecting Low-Level Clear Air Turbulence Using LiDAR in Urban Air Mobility","source":"crossref","abstract":"Urban air mobility (UAM) is a transportation system for short-distance travel within cities at low altitudes. It utilizes advanced weather technology and LiDAR-based optical technology to detect clear air turbulences (CATs) for safer operations.","url":"https://doi.org/10.1364/lsc.2024.lsm4c.4","authors":["Gunzung Kim","Jeongsook Eom","Soojung Hur","Yongwan Park"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-12-18T17:10:42Z","doi":"10.1364/lsc.2024.lsm4c.4","addedAt":"2026-08-31T06:39:39.646Z","updatedAt":"2026-08-31T06:39:56.013Z"},{"id":"doi:10.2514/1.d0332","name":"Predeparture Flight Planning to Minimize Operating Cost for Urban Air Mobility","source":"crossref","abstract":"Urban air mobility (UAM) is envisioned to move to highly automated and high-density operations in low-altitude urban airspace in the future. Providers of services for UAM (PSU), rather than the legacy air traffic control, are anticipated to support operators with operational planning, aircraft deconfliction, conformance monitoring, and emergency information dissemination. Such services, for hundreds to thousands of simultaneous UAM operations in constrained airspace, can only be realized with automated systems. In this study, airspace and deconfliction models for generating predeparture conflict-free four-dimensional (4-D) flight trajectories are proposed, which can be further developed into an automated flight planning tool for PSU. A semistructured scalable airspace design for future UAM is proposed (i.e., a layered airspace topology with direct routes between vertiports, avoiding physical obstacles, such as buildings, obstructions, and restricted airspace) using the visibility graph method. Based on the proposed airspace design, deconfliction strategies (e.g., flight-level assignment and departure delay) are applied to obtain predeparture conflict-free 4-D trajectories of UAM operations by solving a mixed-integer programming problem, with the objective function to minimize the operating cost of UAM operations. Furthermore, sensitivity analysis is performed to investigate the impacts of three key cost parameters (electricity price, crew hourly rate, and maintenance hourly rate). The relationships of departure delay bound (maximum departure delay allowed) vs operating cost saving and departure delay bound vs delay cost to passengers are examined, as is the tradeoff between operating cost saving and passenger delay cost.","url":"https://doi.org/10.2514/1.d0332","authors":["Hualong Tang","Yu Zhang","Joseph Post"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-05-18T13:11:26Z","doi":"10.2514/1.d0332","addedAt":"2026-08-31T06:39:39.646Z","updatedAt":"2026-08-31T06:39:56.013Z"},{"id":"doi:10.1016/j.jairtraman.2026.103031","name":"Optimal government subsidy strategies for achieving urban air mobility promotion target considering infrastructure","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.jairtraman.2026.103031","authors":["Yajun Shen","Peiwu Dong","Yanbing Ju"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-04-09T16:43:35Z","doi":"10.1016/j.jairtraman.2026.103031","addedAt":"2026-08-31T06:39:39.646Z","updatedAt":"2026-08-31T06:39:56.013Z"},{"id":"doi:10.3390/su14053128","name":"A New Mobility Era: Stakeholders’ Insights regarding Urban Air Mobility","source":"crossref","abstract":"Urban Air Mobility (UAM) constitutes a future aerial mobility alternative, which concerns the use of electric and autonomous aerial vehicles for transporting people throughout a planned network of vertiports. To materialize UAM, several actors of the air and urban transport ecosystem play a vital role. This paper describes the insights gathered from 32 key stakeholders around the world to present and frame the key aspects for the future implementation of UAM. The participants include representatives from the UAM industry such as airports, airlines, aviation consulting companies, academia, and authorities. The data collection encompasses various key research areas, covering topics such as UAM strengths, weaknesses, opportunities and risks, requirements for implementation, concept integration in the existing transport system, specific use cases, business models, and end-user segments. The research aims at setting up the stakeholder scene and expanding the current literature for UAM by engaging key decision makers and experts towards shaping the new mobility era. The results demonstrate that ensuring certification standards for UAM fleets and updating the current legal and regulatory framework are the main prerequisites for UAM’s realization. In addition, the usage of UAM for transporting cargo or for air ambulance services are the most mature business models for the coming decade.","url":"https://doi.org/10.3390/su14053128","authors":["Annitsa Koumoutsidi","Ioanna Pagoni","Amalia Polydoropoulou"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2022-03-09T01:50:53Z","doi":"10.3390/su14053128","addedAt":"2026-08-31T06:39:39.646Z","updatedAt":"2026-08-31T06:39:56.013Z"},{"id":"doi:10.1016/j.trpro.2024.09.003","name":"Capacity and demand forecasting in Urban Air Mobility - A simulation of air transportation in Hamburg","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.trpro.2024.09.003","authors":["Branko Bubalo"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-10-03T11:56:02Z","doi":"10.1016/j.trpro.2024.09.003","addedAt":"2026-08-31T06:39:39.646Z","updatedAt":"2026-08-31T06:39:56.013Z"},{"id":"doi:10.2139/ssrn.5611967","name":"An Integrated Charging, Scheduling and Allocation Approach for Urban Air Mobility Fleet Management","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.5611967","authors":["Zexuan Wu","Yan Xu","Hanlin Wu","Kaiquan Cai"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-10-16T02:45:06Z","doi":"10.2139/ssrn.5611967","addedAt":"2026-08-31T06:39:39.646Z","updatedAt":"2026-08-31T06:39:56.013Z"},{"id":"doi:10.2514/6.2022-3316","name":"Analysis of Electrical Grid Capacity by Interconnection for Urban Air Mobility","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2022-3316","authors":["David P. Thipphavong"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2022-06-21T07:07:36Z","doi":"10.2514/6.2022-3316","addedAt":"2026-08-31T06:39:39.646Z","updatedAt":"2026-08-31T06:39:56.013Z"},{"id":"doi:10.2514/6.2023-3262","name":"Urban Air Mobility Network Distribution in Chicago Metropolitan Area","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2023-3262","authors":["Qilei Zhang","John H. Mott"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-06-08T11:36:49Z","doi":"10.2514/6.2023-3262","addedAt":"2026-08-31T06:39:39.646Z","updatedAt":"2026-08-31T06:39:56.013Z"},{"id":"doi:10.2514/6.2022-3619","name":"Risk-based flight planning and management for urban air mobility","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2022-3619","authors":["Yu Su","Yan Xu"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2022-06-21T03:07:36Z","doi":"10.2514/6.2022-3619","addedAt":"2026-08-31T06:39:39.646Z","updatedAt":"2026-08-31T06:39:56.013Z"},{"id":"doi:10.4271/2024-26-0405","name":"Consensus Based Air Transport System for Strategic Deconfliction for Urban Air Mobility","source":"crossref","abstract":"&lt;div class=\"section abstract\"&gt;&lt;div class=\"htmlview paragraph\"&gt;Urban Air Mobility (UAM) envisions heterogenous airborne entities like crewed and uncrewed passenger and cargo vehicles within, and between urban and rural environment. To achieve this, a paradigm shift to a cooperative operating environment similar to Extensible Traffic Management (xTM) is needed. This requires the blending of traditional Air Traffic Services (ATS) with the new generation UAM vehicles having their unique flight dynamics and handling characteristics. A hybrid environment needs to be established with enhanced shared situational awareness for all stakeholders, enabling equitable airspace access, minimizing risk, optimized airspace use, and providing flexible and adaptable airspace rules. This paper introduces a novel concept of distributed airspace management which would be apt for all kinds of operational scenarios perceived for UAM.&lt;/div&gt;&lt;div class=\"htmlview paragraph\"&gt;The proposal is centered around the efficiency and safety in air space management being achieved by self-discipline. It utilizes Blockchain’s core concepts like Distributed Ledger, Consensus, and Immutable Smart Contracts. The concept blends harmoniously to the Concept of Operations (CONOPS) recently published by Federal Aviation Administration (FAA), though the degrees of involvement by various actors of the eco system are primed for the very adaptation soon when fully autonomous aircraft are expected to dominate the urban skies. Strategic deconfliction and cooperative management are effectively realized with distribution of airspace knowledge, participative decision making and mutual trust. The concept is scalable to the foretold autonomy in this area. Trend predictors extrapolate a massive increase in dynamics, interactions and decision making as the flying vehicles count occupying a city's airspace, is set for exponential growth with personally owned flying vehicles. Proposed solution would operate efficiently with current computing technologies and can be scaled to be resident onboard or offboard the vehicle.&lt;/div&gt;&lt;/div&gt;","url":"https://doi.org/10.4271/2024-26-0405","authors":["Sreenivasan KG","SunilRaj Suseelan","Pradeep Huncha"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-05-31T22:15:49Z","doi":"10.4271/2024-26-0405","addedAt":"2026-08-31T06:39:39.646Z","updatedAt":"2026-08-31T06:39:56.013Z"},{"id":"doi:10.1109/acit52158.2021.9548355","name":"Separation Minimums for Urban Air Mobility","source":"crossref","abstract":"","url":"https://doi.org/10.1109/acit52158.2021.9548355","authors":["Oleg Ivashchuk","Ivan Ostroumov"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2021-10-02T03:29:27Z","doi":"10.1109/acit52158.2021.9548355","addedAt":"2026-08-31T06:39:39.646Z","updatedAt":"2026-08-31T06:39:56.013Z"},{"id":"doi:10.2139/ssrn.6539998","name":"Empirical Analysis of the Factors Affecting Public Acceptance and Adoption of Urban Air Mobility","source":"crossref","abstract":"This study explores factors influencing Urban Air Mobility (UAM) acceptance and adoption, aiming to inform the successful integration of this transformative transportation mode into urban environments. Examining UAM acceptance components, positive experiences&amp;apos; impact, socio-demographic influences, and the relationship with individual travel decisions, the research uncovers nuanced insights. Analyzing a sample of 170 participants, correlations among UAM factors and demographics provide valuable context. As UAM addresses urban congestion, understanding public perceptions is pivotal. The study sheds light on the interconnected dynamics shaping UAM acceptance, offering guidance for policymakers and stakeholders. By fostering a comprehensive understanding of UAM&amp;apos;s reception, this research contributes to informed decision-making, supporting the development of strategies aligned with urban populations&amp;apos; needs and expectations.","url":"https://doi.org/10.2139/ssrn.6539998","authors":["Rakesh Yadav","HIRAN ROY","Arvind Kumar Jain"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-04-08T02:47:46Z","doi":"10.2139/ssrn.6539998","addedAt":"2026-08-31T06:39:39.646Z","updatedAt":"2026-08-31T06:39:56.013Z"},{"id":"doi:10.1007/978-3-031-96700-9_22","name":"Finland—Smart Urban Air Mobility","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-031-96700-9_22","authors":["Christian Schachtner"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-08-11T12:37:14Z","doi":"10.1007/978-3-031-96700-9_22","addedAt":"2026-08-31T06:39:39.646Z","updatedAt":"2026-08-31T06:39:56.013Z"},{"id":"doi:10.1201/9781003339953-2","name":"Modeling and Analysis of Urban Transportation","source":"crossref","abstract":"","url":"https://doi.org/10.1201/9781003339953-2","authors":["V. Sakthivel","Sourav Patel Kurmi","P. Prakash","Jae-Woo Lee"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-01-20T15:58:27Z","doi":"10.1201/9781003339953-2","addedAt":"2026-08-31T06:39:39.646Z","updatedAt":"2026-08-31T06:39:56.013Z"},{"id":"doi:10.2139/ssrn.6467219","name":"HeliNet-AI: A Deep Reinforcement Learning Framework for Optimal Heliport Site Selection in India's Emerging Urban Air Mobility Landscape","source":"crossref","abstract":"India's urban air mobility ambitions are growing rapidly, with the UDAN scheme, Maharashtra's vertiport initiative, and increasing state-level interest in helicopter and eVTOL infrastructure. Yet a fundamental question remains poorly addressed: where should heliports and vertiports be located in Indian cities? Traditional approaches based on expert judgment and GIS overlays treat this as a static, one-shot decision, ignoring the sequential and interdependent nature of network planning. This paper proposes HeliNet-AI, a deep reinforcement learning (DRL) framework that treats heliport site selection as a sequential decision-making problem. An agent trained using Proximal Policy Optimization (PPO) interacts with a simulated urban environment encoding geographic, demographic, regulatory, and meteorological data, learning placement policies that balance multiple competing objectives: population coverage, travel time reduction, regulatory compliance, noise minimization, and multimodal transport connectivity. The framework is designed from the ground up for Indian urban realities-dense land-use patterns, complex airspace restrictions, variable terrain, power supply constraints, and evolving DGCA regulations. We propose demonstrations on two case study areas: Dehradun (a Tier 2 hill city with existing helicopter traffic) and the Delhi NCR region (a megacity with India's first integrated heliport at Rohini). The reward function incorporates domain knowledge from 29+ years of operational helicopter infrastructure experience in India. We outline a comparison against greedy heuristic, genetic algorithm, and AHP-GIS baselines, with evaluation across coverage, accessibility, regulatory compliance, noise impact, and computational efficiency metrics.","url":"https://doi.org/10.2139/ssrn.6467219","authors":["Sanjay Kumar"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-04-07T19:10:23Z","doi":"10.2139/ssrn.6467219","addedAt":"2026-08-31T06:39:39.646Z","updatedAt":"2026-08-31T06:39:56.013Z"},{"id":"doi:10.2139/ssrn.5072017","name":"Urban Air Mobility Fleet Management Under Uncertainty: A Deep Reinforcement Learning Approach","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.5072017","authors":["Emin Burak Onat","Albert Cao","Raja Sengupta","Mark Hansen"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-12-25T22:38:12Z","doi":"10.2139/ssrn.5072017","addedAt":"2026-08-31T06:39:39.646Z","updatedAt":"2026-08-31T06:39:56.013Z"},{"id":"doi:10.1109/icnsurv.2019.8735190","name":"Urban Air Mobility (UAM) Regional Landing Site Feasibility and Fare Model Analysis","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icnsurv.2019.8735190","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2019-07-29T21:29:11Z","doi":"10.1109/icnsurv.2019.8735190","addedAt":"2026-08-31T06:39:39.646Z","updatedAt":"2026-08-31T06:39:56.013Z"},{"id":"doi:10.36227/techrxiv.173161175.50566487/v1","name":"Urban Air Mobility: Review and Challenges","source":"crossref","abstract":"Urban Air Mobility (UAM) is an emerging transport mode, offering on-demand and automated air transit of passengers or cargo within urban ecosystems. Unrestricted by terrestrial road networks, UAM provides a timely and efficient way of transportation. Due to its profound significance, industries, regulatory authorities, and academic researchers have made extensive efforts toward its development and improvement. This paper contributes to these ongoing endeavors by providing a comprehensive and systematic review of existing literature on UAM from the perspective of airspace and traffic management. Specifically, this paper chronologically encapsulates the development history of UAM, aiming to foster a holistic understanding of contributions made by industries, academics, and regulatory authorities. It also highlights specific advances such as the integration of AI in traffic flow algorithms and the development of collision avoidance systems, addressing current technological and regulatory hurdles. Furthermore, this paper provides an in-depth review of the studies on the topic of urban air transportation network design, urban air traffic flow management, and urban flight safety management. The diverse scenarios and methodologies employed across those studies are discussed and compared, identifying gaps in current research and potential for future exploration. Lastly, this paper highlights opportunities and prospective directions for future research in relation to traffic management strategies, thus propelling UAM toward greater efficiency. rban Air Mobility (UAM) is an emerging transport mode, offering on-demand and automated air transit of passengers or cargo within urban ecosystems. Unrestricted by terrestrial road networks, UAM provides a timely and efficient way of transportation. Due to its profound significance, industries, regulatory authorities, and academic researchers have made extensive efforts toward its development and improvement. This paper contributes to these ongoing endeavors by providing a comprehensive and systematic review of existing literature on UAM from the perspective of airspace and traffic management. Specifically, this paper chronologically encapsulates the development history of UAM, aiming to foster a holistic understanding of contributions made by industries, academics, and regulatory authorities. It also highlights specific advances such as the integration of AI in traffic flow algorithms and the development of collision avoidance systems, addressing current technological and regulatory hurdles. Furthermore, this paper provides an in-depth review of the studies on the topic of urban air transportation network design, urban air traffic flow management, and urban flight safety management. The diverse scenarios and methodologies employed across those studies are discussed and compared, identifying gaps in current research and potential for future exploration. Lastly, this paper highlights opportunities and prospective directions for future research in relation to traffic management strategies, thus propelling UAM toward greater efficiency.","url":"https://doi.org/10.36227/techrxiv.173161175.50566487/v1","authors":["Yumeng Li","Tong Guo","Jun Chen","Jianjun Wu","Yu Zhang","Sameer Alam","Kaiquan Cai","Wenbo Du"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-11-14T14:15:57Z","doi":"10.36227/techrxiv.173161175.50566487/v1","addedAt":"2026-08-31T06:39:39.646Z","updatedAt":"2026-08-31T06:39:56.012Z"},{"id":"doi:10.2139/ssrn.5098024","name":"Analysing Technology User Acceptance of Uam (Urban Air Mobility): A Case Study in Lombok, Indonesia","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.5098024","authors":["Dayoung Lee","Sujin Park","Junseok Hwang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-01-15T08:40:32Z","doi":"10.2139/ssrn.5098024","addedAt":"2026-08-31T06:39:39.646Z","updatedAt":"2026-08-31T06:39:56.013Z"},{"id":"doi:10.2139/ssrn.6540147","name":"Empirical Analysis of the Factors Affecting Public Acceptance and Adoption of Urban Air Mobility","source":"crossref","abstract":"This study explores factors influencing Urban Air Mobility (UAM) acceptance and adoption, aiming to inform the successful integration of this transformative transportation mode into urban environments. Examining UAM acceptance components, positive experiences&amp;apos; impact, socio-demographic influences, and the relationship with individual travel decisions, the research uncovers nuanced insights. Analyzing a sample of 170 participants, correlations among UAM factors and demographics provide valuable context. As UAM addresses urban congestion, understanding public perceptions is pivotal. The study sheds light on the interconnected dynamics shaping UAM acceptance, offering guidance for policymakers and stakeholders. By fostering a comprehensive understanding of UAM&amp;apos;s reception, this research contributes to informed decision-making, supporting the development of strategies aligned with urban populations&amp;apos; needs and expectations.","url":"https://doi.org/10.2139/ssrn.6540147","authors":["Rakesh Yadav","HIRAN ROY","Arvind Kumar Jain"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-04-08T03:44:52Z","doi":"10.2139/ssrn.6540147","addedAt":"2026-08-31T06:39:39.646Z","updatedAt":"2026-08-31T06:39:56.013Z"},{"id":"doi:10.2139/ssrn.5743383","name":"Analysis of the major factors for Urban Air Mobility Noise through Objective and Subjective Assessments","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.5743383","authors":["Seung-Min Lee","Chan-Hoon Haan"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-11-13T14:36:57Z","doi":"10.2139/ssrn.5743383","addedAt":"2026-08-31T06:39:39.646Z","updatedAt":"2026-08-31T06:39:56.013Z"},{"id":"doi:10.1007/978-3-031-23721-8_130","name":"Urban Air Mobility (UAM) Integration to Urban Planning","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-031-23721-8_130","authors":["Dionysia G. Perperidou","Dimitrios Kirgiafinis"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-03-10T10:05:16Z","doi":"10.1007/978-3-031-23721-8_130","addedAt":"2026-08-31T06:39:39.646Z","updatedAt":"2026-08-31T06:39:56.013Z"},{"id":"doi:10.1109/itec60657.2024.10598933","name":"Impact of Battery Cell Chemistry on Urban Air Mobility Electric Aircraft Performance","source":"crossref","abstract":"","url":"https://doi.org/10.1109/itec60657.2024.10598933","authors":["Faissal El Idrissi","Matilde D’Arpino"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-07-24T17:52:16Z","doi":"10.1109/itec60657.2024.10598933","addedAt":"2026-08-31T06:39:39.646Z","updatedAt":"2026-08-31T06:39:56.013Z"},{"id":"doi:10.31705/bprm.v2.2021.4","name":"Autonomous vehicles for urban air mobility : future of mobility","source":"crossref","abstract":"Urban mobility is evolving with the arrival of autonomous vehicles which contributes for a unique fundamental change. The environmental and social concerns have brought the quest to redesign urban mobility sustainably.","url":"https://doi.org/10.31705/bprm.v2.2021.4","authors":["Mahekha Dahanayaka","Amila Thibbotuwawa"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2022-09-30T05:20:40Z","doi":"10.31705/bprm.v2.2021.4","addedAt":"2026-08-31T06:39:39.646Z","updatedAt":"2026-08-31T06:39:57.284Z"},{"id":"doi:10.2139/ssrn.4000399","name":"Complexity Optimal Air Traffic Assignment for Multi-Layer Transport Network in Urban Air Mobility Operations","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.4000399","authors":["Zhengyi Wang","Daniel Delahaye","Jean-Loup Farges","Sameer Alam"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2022-01-06T14:50:37Z","doi":"10.2139/ssrn.4000399","addedAt":"2026-08-31T06:39:39.646Z","updatedAt":"2026-08-31T06:39:57.284Z"},{"id":"doi:10.2514/6.2018-3849","name":"Scaling Constraints for Urban Air Mobility Operations: Air Traffic Control, Ground Infrastructure, and Noise","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2018-3849","authors":["Parker D. Vascik","R John Hansman"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2018-06-24T09:57:23Z","doi":"10.2514/6.2018-3849","addedAt":"2026-08-31T06:39:39.646Z","updatedAt":"2026-08-31T06:39:57.284Z"},{"id":"doi:10.1016/j.jairtraman.2024.102720","name":"An optimization framework for urban air mobility (UAM) planning and operations","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.jairtraman.2024.102720","authors":["Heeseung Shon","Jinwoo Lee"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-12-12T13:43:42Z","doi":"10.1016/j.jairtraman.2024.102720","addedAt":"2026-08-31T06:39:39.646Z","updatedAt":"2026-08-31T06:39:57.284Z"},{"id":"doi:10.1109/smartcomp58114.2023.00061","name":"Investigating Computational Aspects and Potential Challenges in Implementing Urban Air Mobility","source":"crossref","abstract":"","url":"https://doi.org/10.1109/smartcomp58114.2023.00061","authors":["Debjyoti Sengupta"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-08-07T13:55:53Z","doi":"10.1109/smartcomp58114.2023.00061","addedAt":"2026-08-31T06:39:39.646Z","updatedAt":"2026-08-31T06:39:57.284Z"},{"id":"doi:10.1109/dasc43569.2019.9081685","name":"Urban air mobility and manned eVTOLs: safety implications","source":"crossref","abstract":"","url":"https://doi.org/10.1109/dasc43569.2019.9081685","authors":["Aleksandar Bauranov","Jasenka Rakas"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2020-04-30T21:22:38Z","doi":"10.1109/dasc43569.2019.9081685","addedAt":"2026-08-31T06:39:39.646Z","updatedAt":"2026-08-31T06:39:57.284Z"},{"id":"doi:10.2139/ssrn.5373897","name":"Exploring the Willingness to Use Urban Air Mobility (UAM) as an Airport Shuttle at Different Levels of Automation","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.5373897","authors":["Soyeon Kim","Kaihan Zhang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-08-01T17:52:08Z","doi":"10.2139/ssrn.5373897","addedAt":"2026-08-31T06:39:39.646Z","updatedAt":"2026-08-31T06:39:57.284Z"},{"id":"doi:10.32560/rk.2021.3.9","name":"Urban Air Mobility, a 3. dimenzió (légi) bevonása a közlekedésbe","source":"crossref","abstract":"A bolygó dinamikus népességnövekedése miatt többmilliós metropoliszok alakultak ki, ahol a mindennapi közlekedés a magas népsűrűség miatt problémássá vált. A kialakult helyzet a harmadik dimenzió – azaz a légi közlekedés, például légi taxik – bevonását teszi szükségessé. Ennek tipikus eszközei a VTOL1 kialakítású, alacsony zajkibocsátású és ami a legfontosabb, elektromos meghajtású repülőeszközök lehetnek.","url":"https://doi.org/10.32560/rk.2021.3.9","authors":["Levente Gémes"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2022-08-31T17:45:25Z","doi":"10.32560/rk.2021.3.9","addedAt":"2026-08-31T06:39:39.646Z","updatedAt":"2026-08-31T06:39:57.284Z"},{"id":"doi:10.1109/dasc55683.2022.9925845","name":"Contribution to a secure urban air mobility","source":"crossref","abstract":"","url":"https://doi.org/10.1109/dasc55683.2022.9925845","authors":["Tim H. Stelkens-Kobsch","Andrei-Vlad Predescu"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2022-11-04T01:28:29Z","doi":"10.1109/dasc55683.2022.9925845","addedAt":"2026-08-31T06:39:39.646Z","updatedAt":"2026-08-31T06:39:57.284Z"},{"id":"doi:10.2139/ssrn.6773314","name":"Comparing Station-Location Approaches for Urban Air Mobility: A Case Study of the Metropolitan Area Ruhr","source":"crossref","abstract":"Urban Air Mobility (UAM) is increasingly discussed as a potential complement to existing transport networks in metropolitan regions. However, the performance and practical relevance of UAM station networks depend strongly on the underlying station-location logic. While comparative studies are emerging, cross-logic comparisons of different station-location approaches under consistent spatial data, network sizes, and evaluation criteria remain limited. This paper addresses this gap by comparing three complementary station-location logics in the polycentric Metropolitan Area Ruhr in Germany: a proximity-oriented k-means++ clustering approach, a demand-weighted location-allocation approach based on the p-median problem, and a transport-oriented location assessment (TOLA) used as a practical reference configuration. The resulting networks are evaluated with respect to access distance, catchment coverage, spatial distribution, flight-path characteristics, and representative test routes. The results show that the semi-automated approaches substantially improve accessibility and coverage compared with the practical reference configuration. The k-means++ approach performs particularly well in terms of geometric proximity, while the location-allocation approach provides competitive demand-weighted accessibility for medium and large network sizes. TOLA performs weaker in distance-based metrics but remains useful for interpreting the planning plausibility of optimized solutions. The study demonstrates that early-stage UAM station planning benefits from comparing multiple station-location logics rather than relying on a single method. It thereby contributes to a more transparent and transferable basis for comparing methodological assumptions in early-stage UAM infrastructure planning.","url":"https://doi.org/10.2139/ssrn.6773314","authors":["Michael Husemann","Joschua Schuermann","Eike Stumpf"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-05-15T23:44:26Z","doi":"10.2139/ssrn.6773314","addedAt":"2026-08-31T06:39:39.646Z","updatedAt":"2026-08-31T06:39:57.284Z"},{"id":"doi:10.2514/6.2022-3403","name":"Urban Air Mobility Airspace Dynamic Density","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2022-3403","authors":["Lilly Spirkovska","Chetan S. Kulkarni","Jason Watkins","Lynne Martin"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2022-06-21T07:07:36Z","doi":"10.2514/6.2022-3403","addedAt":"2026-08-31T06:39:39.646Z","updatedAt":"2026-08-31T06:39:57.284Z"},{"id":"doi:10.2139/ssrn.7157818","name":"The Urban Air Mobility Fleet Scheduling Problem with Nonlinear Charging Time","source":"crossref","abstract":"This paper introduces a vehicle-routing formulation of the Urban Air Mobility (UAM) fleet scheduling problem. The proposed model, electric urban air mobility vehicle routing problem with non-linear battery charging time (eUAMVRP-NL), studies the optimal flight scheduling and charging policy for a given fleet of eVToL vehicles to maximize the operating revenue with the assumption of a non-linear charging model for the aircraft batteries. We design a Cluster-First Route-Second (CFRS) solution heuristic that first decomposes the k-vehicle problem into k number of 1-vehicle problems before optimizing the flight scheduling and charging decisions for each aircraft in the fleet. We validate our CFRS algorithm on a small, two-vertiport instance in which an optimal solution can be obtained. We found a loss of optimality less than 2\\%. Finally, we demonstrate the use of eUAMVRP-NL in obtaining meaningful metrics for the estimation of capital cost and operating cost by considering the airport access use case of UAM at Los Angeles International Airport (LAX)","url":"https://doi.org/10.2139/ssrn.7157818","authors":["Shangqing Cao","Emin Burak Onat","Xuan Jiang","Raja Sengupta","Mark Hansen"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-08-03T09:03:27Z","doi":"10.2139/ssrn.7157818","addedAt":"2026-08-31T06:39:39.646Z","updatedAt":"2026-08-31T06:39:57.284Z"},{"id":"doi:10.2514/6.2022-3512","name":"Parametric Composite Defect Template for Urban Air Mobility","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2022-3512","authors":["Vishal D. Savane","Torsten Moecker","Martin Dreau"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2022-06-21T03:07:36Z","doi":"10.2514/6.2022-3512","addedAt":"2026-08-31T06:39:39.646Z","updatedAt":"2026-08-31T06:39:57.284Z"},{"id":"doi:10.2514/6.2021-2391","name":"Resolving Multi-Aircraft Conflicts in an Urban Air Mobility Environment","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2021-2391","authors":["Scott N. Kalush","Maria Chierichetti"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2021-07-28T15:32:16Z","doi":"10.2514/6.2021-2391","addedAt":"2026-08-31T06:39:39.646Z","updatedAt":"2026-08-31T06:39:57.284Z"},{"id":"doi:10.2514/6.2021-3201","name":"Urban Air Mobility: Vertidrome Airside Level of Service Concept","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2021-3201","authors":["Karolin Schweiger","Franz Knabe","Bernd Korn"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2021-07-28T15:32:16Z","doi":"10.2514/6.2021-3201","addedAt":"2026-08-31T06:39:39.646Z","updatedAt":"2026-08-31T06:39:57.284Z"},{"id":"doi:10.3390/en18061426","name":"Emerging Trends in Urban Air Mobility: An Extensive Review","source":"crossref","abstract":"This paper presents a review of the main trends in the urban air mobility (UAM) sector. After an initial introduction to the key aspects driving the design of aircraft for this type of application and the main characteristics of each type of aircraft developed so far, the focus shifts to the description of the main regulatory frameworks, highlighting the essential requirements that the aircraft must meet at each stage of flight. To translate the aircraft or propeller requirements into design specifications for electric motors, an aerodynamic model is presented. Subsequently, a series of aircraft developed by major industry players is described. In the following section, the key characteristics sought in motors for UAM are outlined, along with various examples of motors developed by leading companies. Additionally, specific design considerations and recommendations are discussed, emphasizing critical aspects such as the adoption of advanced conductors and high-performance cooling systems to enhance power density and efficiency. In conclusion, this review highlights the diverse UAM designs shaping a technological shift in aviation. As prototypes evolve, greater standardization will drive industry growth and support the broader ecosystem, including vertiport providers.","url":"https://doi.org/10.3390/en18061426","authors":["Francesco Tripaldi","Stefano Vianello","Nicola Bianchi"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-03-13T06:53:00Z","doi":"10.3390/en18061426","addedAt":"2026-08-31T06:39:39.646Z","updatedAt":"2026-08-31T06:39:56.012Z"},{"id":"doi:10.2139/ssrn.5226285","name":"Skyport-and-Skyroad: Urban Air Mobility Service Network Planning and Pricing Scheme Design","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.5226285","authors":["Yun Hui Lin","Qingyun Tian","JianJun Wu","Haodong Yin"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-05-06T16:05:10Z","doi":"10.2139/ssrn.5226285","addedAt":"2026-08-31T06:39:39.646Z","updatedAt":"2026-08-31T06:39:57.284Z"},{"id":"doi:10.30518/jav.1324997","name":"A Comprehensive Analysis of Society's Perspective on Urban Air Mobility","source":"crossref","abstract":"Urban Air Mobility (UAM) is an innovative concept that offers a distinct solution for dense urban transportation through the use of electric vertical take-off and landing (eVTOL) aircraft and unmanned aerial vehicles (UAVs), despite not being the first technological development in transportation. This study aims to understand society's perspective on this innovative concept by analysing its benefits and challenges. A total of 518 individuals living in Ankara and Istanbul, which are the provinces with the highest population density in Türkiye, were surveyed online as part of this research. The analysis results indicate that the system is perceived as beneficial by the public, particularly in emergency situations, where its usage receives general acceptance. However, significant challenges are observed in terms of integrating UAM into the existing airspace. Moreover, variations in the level of benefit based on gender and frequency of public transportation usage, as well as differences in the level of challenge based on age, have been identified. Furthermore, it is evident that there are differences in society regarding knowledge level, attitude, and willingness to use UAM.","url":"https://doi.org/10.30518/jav.1324997","authors":["Ertan ÇINAR","Arif TUNCAL"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-08-28T20:09:36Z","doi":"10.30518/jav.1324997","addedAt":"2026-08-31T06:39:39.646Z","updatedAt":"2026-08-31T06:39:57.284Z"},{"id":"doi:10.1109/icuas57906.2023.10156478","name":"Urban Air Mobility Trajectory Planning","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icuas57906.2023.10156478","authors":["Stylianos Exadaktylos","Christian Vitale","Panayiotis Kolios","Georgios Ellinas"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-06-26T14:08:46Z","doi":"10.1109/icuas57906.2023.10156478","addedAt":"2026-08-31T06:39:39.646Z","updatedAt":"2026-08-31T06:39:57.284Z"},{"id":"doi:10.1080/10556788.2023.2241148","name":"Urban air mobility: from complex tactical conflict resolution to network design and fairness insights","source":"crossref","abstract":"","url":"https://doi.org/10.1080/10556788.2023.2241148","authors":["Mercedes Pelegrín","Claudia D'Ambrosio","Rémi Delmas","Youssef Hamadi"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-08-08T11:47:41Z","doi":"10.1080/10556788.2023.2241148","addedAt":"2026-08-31T06:39:39.646Z","updatedAt":"2026-08-31T06:39:57.284Z"},{"id":"doi:10.2514/6.2021-3204","name":"Urban Air Mobility: Preliminary Noise Analysis of Commuter Operations","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2021-3204","authors":["Mihir Rimjha","Antonio Trani","Susan Hotle"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2021-07-28T15:32:16Z","doi":"10.2514/6.2021-3204","addedAt":"2026-08-31T06:39:39.646Z","updatedAt":"2026-08-31T06:39:57.284Z"},{"id":"doi:10.2514/6.2020-2816","name":"Urban Air Mobility Rotor Icing Performance Characterization and Prediction","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2020-2816","authors":["Shawn Scroger","Jose Palacios","Yiqiang Han"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2020-06-08T21:02:08Z","doi":"10.2514/6.2020-2816","addedAt":"2026-08-31T06:39:39.646Z","updatedAt":"2026-08-31T06:39:57.284Z"},{"id":"doi:10.2514/6.2021-3013","name":"A Trajectory Generator for Urban Air Mobility Flights","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2021-3013","authors":["Sricharan K. Ayyalasomayajula","Yaroslav Ryabov","Nikhil Nigam"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2021-07-28T15:32:16Z","doi":"10.2514/6.2021-3013","addedAt":"2026-08-31T06:39:39.646Z","updatedAt":"2026-08-31T06:39:57.284Z"},{"id":"doi:10.1016/b978-0-12-815018-4.00013-9","name":"Urban air mobility","source":"crossref","abstract":"","url":"https://doi.org/10.1016/b978-0-12-815018-4.00013-9","authors":["Raoul Rothfeld","Anna Straubinger","Mengying Fu","Christelle Al Haddad","Constantinos Antoniou"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2019-12-07T00:10:47Z","doi":"10.1016/b978-0-12-815018-4.00013-9","addedAt":"2026-08-31T06:39:39.646Z","updatedAt":"2026-08-31T06:39:57.284Z"},{"id":"doi:10.3390/drones7010037","name":"Repurposing Existing Infrastructure for Urban Air Mobility: A Scenario Analysis in Southern California","source":"crossref","abstract":"The deployment of urban air mobility in built-out metropolitan regions is constrained by infrastructure opportunities, land use, and airspace zoning designations. Meanwhile, the availability and spatial distribution of infrastructure opportunities influence the travel demand that can be potentially captured by UAM services. The purpose of this study is to provide an initial assessment of the infrastructure opportunities of UAM in southern California with different mixes of spatial constraints, such as noise levels, school buffer zones, and airspace zones. The corresponding travel demand that can be potentially captured under each scenario is estimated with a home–workplace trip table. The results of the analyses indicate that supply-side infrastructure opportunities, such as heliports and elevated parking structures, are widely available to accommodate the regional deployment of UAM services. However, current spatial constraints can significantly limit the scope of vertiport location choices. Furthermore, the low-income population, blue-collar workers, and young people live farther away from supply-side opportunities than the general population. Moreover, this study proposes a network of UAM based on the top home-based and workplace-based stations for long-distance trips.","url":"https://doi.org/10.3390/drones7010037","authors":["Xiangyu Li"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-01-05T04:51:31Z","doi":"10.3390/drones7010037","addedAt":"2026-08-31T06:39:39.646Z","updatedAt":"2026-08-31T06:39:57.284Z"},{"id":"doi:10.12688/openreseurope.23222.2","name":"Mapping the adoption of artificial intelligence in urban mobility","source":"europepmc","abstract":"","url":"https://doi.org/10.12688/openreseurope.23222.2","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.12688/openreseurope.23222.2","addedAt":"2026-08-31T06:39:39.646Z","updatedAt":"2026-08-31T06:39:54.186Z"},{"id":"doi:10.1121/10.0044547","name":"Introduction to the Special Issue on advanced air mobility noise: Predictions, measurements, and perceptiona).","source":"europepmc","abstract":"","url":"https://doi.org/10.1121/10.0044547","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.1121/10.0044547","addedAt":"2026-08-31T06:39:39.646Z","updatedAt":"2026-08-31T06:39:52.484Z"},{"id":"doi:10.1016/j.dib.2026.112981","name":"Data from a public participation GIS survey on the everyday active travel experiences of residents from five European cities.","source":"europepmc","abstract":"","url":"https://doi.org/10.1016/j.dib.2026.112981","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.1016/j.dib.2026.112981","addedAt":"2026-08-31T06:39:39.646Z","updatedAt":"2026-08-31T06:39:57.841Z"},{"id":"doi:10.20944/preprints202605.1976.v1","name":"A Multi-Source Sensor Dataset for Spain: Integrating Air Quality, Meteorological, Mobility and Calendar Records","source":"europepmc","abstract":"","url":"https://doi.org/10.20944/preprints202605.1976.v1","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.20944/preprints202605.1976.v1","addedAt":"2026-08-31T06:39:39.646Z","updatedAt":"2026-08-31T06:39:52.485Z"},{"id":"doi:10.1007/s10661-026-15752-w","name":"Integrated spatiotemporal modeling and human health risk assessment of petroleum contamination at an urban fuel station: a case study.","source":"europepmc","abstract":"","url":"https://doi.org/10.1007/s10661-026-15752-w","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.1007/s10661-026-15752-w","addedAt":"2026-08-31T06:39:39.646Z","updatedAt":"2026-08-31T06:39:52.484Z"},{"id":"doi:10.1093/femsec/fiag064","name":"The mobile resistome in the water-soil-air nexus: horizontal gene transfer and environmental dissemination of antimicrobial resistance genes.","source":"europepmc","abstract":"","url":"https://doi.org/10.1093/femsec/fiag064","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.1093/femsec/fiag064","addedAt":"2026-08-31T06:39:39.646Z","updatedAt":"2026-08-31T06:39:57.841Z"},{"id":"doi:10.64898/2026.06.15.26355663","name":"Accounting for Human Movement to Improve Exposure-Health Models","source":"europepmc","abstract":"Background Current exposure-health models rely on averaged, residential-based environmental exposures, failing to account for human movement. This aggregation can lead to exposure misclassification and biased exposure–response estimates, potentially distorting our understanding of the true health effects of environmental conditions. We developed exposure disaggregation regression models that explicitly account for human movement when linking environmental exposures to health outcomes. Methods By weighting pixel-level exposures according to distance from home as a simple proxy for human movement, our model linked disaggregated environmental exposures to individual-level health outcomes. Weights were either fixed a priori or derived from a latent distance-decay power parameter learned from the data. We additionally evaluated model performance under a nonlinear exposure–response relationship. Model performance was assessed across multiple sample sizes (N = 1,114; 50,000; and 100,000). A simulation study examined parameter recovery using bias, empirical standard error (EmpSE), and credible interval coverage. As a case study, Demographic and Health Surveys (DHS) data from Albania were used to link acute respiratory infection (ARI) outcomes among children under five to pixel-level NDVI within a 3 km buffer around DHS cluster centroids, and the proposed models were applied to these data. Results Across all models (fixed-weight, learned-weight, and restricted cubic spline models), parameter recovery improved with increasing sample size. At N = 1,114, estimates were biased and imprecise, with incorrect effect direction for exposure-response parameters (e.g., learned-weight β 1 bias = −0.79; EmpSE = 2.61; coverage = 0.88). In contrast, the models accurately recovered parameters at larger sample sizes, including the latent distance-decay parameter (bias = −0.02; EmpSE = 0.15; coverage = 0.95 at N = 100,000), demonstrating their ability to reliably learn movement-based exposure weights when sufficient data were available. Conclusion Instead of relying on arbitrarily-sized buffers, this statistical framework provides a novel method for studying environmental exposure-health relationships whilst accounting for human movement. With sufficiently large sample sizes, it can accurately estimate the influence of disaggregated environmental exposures on individual-level health and help address exposure misclassification arising from residential-only metrics. This methodological framework remains scalable, interpretable, and adaptable to other exposures and outcomes, offering a foundation for future work that integrates richer mobility-informed exposure-health research.","url":"https://doi.org/10.64898/2026.06.15.26355663","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.64898/2026.06.15.26355663","addedAt":"2026-08-31T06:39:39.646Z","updatedAt":"2026-08-31T06:39:57.842Z"},{"id":"doi:10.64898/2026.06.23.26356068","name":"The Relationship Between Mobility and Population Health in Urban Areas","source":"europepmc","abstract":"Urban mobility may provide insight into population health by capturing how residents connect to services, resources, and urban systems. This is relevant for communities facing higher disease burden and limited resources, where reduced connectivity may signal barriers to care, healthy environments, and participation. Mobility patterns are furthermore shaped by socioeconomic position, housing, environmental quality, facilities access, lifestyle patterns, and population composition. Mobility-health associations may therefore reflect underlying social and environmental disadvantage rather than mobility itself, risking misdirected public-health policy responses. This ecological cross-sectional study examined associations between aggregated mobile phone–based mobility and health outcomes in The Hague, Netherlands, from January-July 2019. Mobile phone mobility was measured as mean outgoing mobility distance across eight regions. Contextual and health indicators were available at neighbourhood-level and were aggregated or linked to regions where required. Health outcomes were operationalised as indicators of disease burden, including cardiometabolic medication prescriptions, polypharmacy, and a syndemic-based measure of interacting health conditions. Contextual domains were selected using spatial clustering and ordinary least squares models, after which residual mobility–health associations were assessed. Outgoing mobility varied across regions and was strongly patterned by contextual factors. Lifestyle, housing, physical environment, and income accounted for 73.2% of variance in outgoing mobility. After adjustment, residual mobility showed weak, non-significant associations with cardiometabolic medication prescription, polypharmacy, and the syndemic-based measure. Sensitivity analyses supported these findings. Aggregated mobility should not be interpreted as a straightforward independent determinant of health. Instead, it appears to function as an integrative marker of urban context, spatial structure, and population composition.","url":"https://doi.org/10.64898/2026.06.23.26356068","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.64898/2026.06.23.26356068","addedAt":"2026-08-31T06:39:39.646Z","updatedAt":"2026-08-31T06:39:57.842Z"},{"id":"doi:10.1016/j.apgeog.2026.103943","name":"Urban Sprawl, Natural Environments, and Mortality Inequality: Socioeconomic Pathways and Spatial Heterogeneity Across U.S. Counties.","source":"europepmc","abstract":"","url":"https://doi.org/10.1016/j.apgeog.2026.103943","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.1016/j.apgeog.2026.103943","addedAt":"2026-08-31T06:39:39.646Z","updatedAt":"2026-08-31T06:39:52.484Z"},{"id":"doi:10.1007/s10653-026-03313-6","name":"Multi-hazard exposure in public schools of a medium-sized city: outdoor road dust contamination, and indoor Rn risk.","source":"europepmc","abstract":"","url":"https://doi.org/10.1007/s10653-026-03313-6","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.1007/s10653-026-03313-6","addedAt":"2026-08-31T06:39:39.646Z","updatedAt":"2026-08-31T06:39:57.841Z"},{"id":"doi:10.1002/alz.71429","name":"Integrating the physical environment into Alzheimer's disease and Alzheimer's disease related dementias research: A Gateway Exposome Coordinating Center (GECC) agenda on gaps and priorities.","source":"europepmc","abstract":"","url":"https://doi.org/10.1002/alz.71429","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.1002/alz.71429","addedAt":"2026-08-31T06:39:39.646Z","updatedAt":"2026-08-31T06:39:57.841Z"},{"id":"doi:10.1111/gcb.70972","name":"Stomatal Decoupling From Photosynthesis Under High Temperatures Is Consistent With Stomatal Optimisation.","source":"europepmc","abstract":"","url":"https://doi.org/10.1111/gcb.70972","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.1111/gcb.70972","addedAt":"2026-08-31T06:39:39.646Z","updatedAt":"2026-08-31T06:39:57.841Z"},{"id":"doi:10.1038/s44333-026-00085-5","name":"The uneven landscape of Swiss travel behavior: evidence of mobility inequality from the national microcensus.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s44333-026-00085-5","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.1038/s44333-026-00085-5","addedAt":"2026-08-31T06:39:39.646Z","updatedAt":"2026-08-31T06:39:57.841Z"},{"id":"doi:10.1007/s11883-025-01375-y","name":"Environment and CVD: moving from Risk Prediction to Risk Management.","source":"europepmc","abstract":"","url":"https://doi.org/10.1007/s11883-025-01375-y","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.1007/s11883-025-01375-y","addedAt":"2026-08-31T06:39:39.646Z","updatedAt":"2026-08-31T06:39:57.841Z"},{"id":"doi:10.21203/rs.3.rs-8670080/v1","name":"A massive, graph augmented, traffic dataset for machine learning and deep learning spatio-temporal traffic analysis","source":"europepmc","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-8670080/v1","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.21203/rs.3.rs-8670080/v1","addedAt":"2026-08-31T06:39:39.646Z","updatedAt":"2026-08-31T06:39:52.485Z"},{"id":"doi:10.3389/fpubh.2026.1756430","name":"Spatial spillovers and nonlinear effects of urban green space on population aging in China.","source":"europepmc","abstract":"","url":"https://doi.org/10.3389/fpubh.2026.1756430","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.3389/fpubh.2026.1756430","addedAt":"2026-08-31T06:39:39.646Z","updatedAt":"2026-08-31T06:39:57.841Z"},{"id":"doi:10.3390/ma19112222","name":"Lightweight Structural Design of UAM Fuselage Using AI Predictive Modeling and Composite Big Data from Automated Manufacturing.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/ma19112222","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.3390/ma19112222","addedAt":"2026-08-31T06:39:39.646Z","updatedAt":"2026-08-31T06:39:57.841Z"},{"id":"doi:10.1016/j.idm.2026.03.006","name":"Outfitting the quest for spatial spread of infections: A review of mobility datasets for population health modelling.","source":"europepmc","abstract":"","url":"https://doi.org/10.1016/j.idm.2026.03.006","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.1016/j.idm.2026.03.006","addedAt":"2026-08-31T06:39:39.646Z","updatedAt":"2026-08-31T06:39:57.841Z"},{"id":"doi:10.1038/s41467-025-65306-w","name":"A digital twin framework for urban parking management and mobility forecasting.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41467-025-65306-w","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.1038/s41467-025-65306-w","addedAt":"2026-08-31T06:39:39.646Z","updatedAt":"2026-08-31T06:39:57.841Z"},{"id":"doi:10.1002/alz.71557","name":"Urban greenspace and dementia: Measures, mechanisms, and methodological guidance.","source":"europepmc","abstract":"","url":"https://doi.org/10.1002/alz.71557","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.1002/alz.71557","addedAt":"2026-08-31T06:39:39.646Z","updatedAt":"2026-08-31T06:39:57.842Z"},{"id":"doi:10.1371/journal.pcbi.1014427","name":"Mobility data resolution needed to inform predictive models of spatial epidemic spread from mobile phone data.","source":"europepmc","abstract":"","url":"https://doi.org/10.1371/journal.pcbi.1014427","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.1371/journal.pcbi.1014427","addedAt":"2026-08-31T06:39:39.646Z","updatedAt":"2026-08-31T06:39:57.841Z"},{"id":"doi:10.3390/jox16030083","name":"Geochemistry, Speciation, and Health Risks from Potentially Toxic Elements in Street Dust of Mbarara City, Uganda.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/jox16030083","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.3390/jox16030083","addedAt":"2026-08-31T06:39:39.646Z","updatedAt":"2026-08-31T06:39:57.841Z"},{"id":"doi:10.1093/eurpub/ckag013","name":"Urban health research: shaping integrated policies for health, equity, sustainability, and climate.","source":"europepmc","abstract":"","url":"https://doi.org/10.1093/eurpub/ckag013","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.1093/eurpub/ckag013","addedAt":"2026-08-31T06:39:39.646Z","updatedAt":"2026-08-31T06:39:54.186Z"},{"id":"doi:10.1007/s12061-025-09787-8","name":"Intersectional Inequalities in Neighbourhood Air Pollution Concentration in England: A Quantitative Analysis of Ecological Data Using Eco-Intersectional Multilevel (EIM) Modelling.","source":"europepmc","abstract":"","url":"https://doi.org/10.1007/s12061-025-09787-8","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.1007/s12061-025-09787-8","addedAt":"2026-08-31T06:39:39.646Z","updatedAt":"2026-08-31T06:39:57.842Z"},{"id":"doi:10.1121/10.0043128","name":"Turbulence-induced noise variability from ray tracing with instantaneous velocity snapshots.","source":"europepmc","abstract":"","url":"https://doi.org/10.1121/10.0043128","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.1121/10.0043128","addedAt":"2026-08-31T06:39:39.646Z","updatedAt":"2026-08-31T06:39:52.484Z"},{"id":"doi:10.1016/j.bsheal.2025.11.002","name":"The urban infection susceptibility index and its application in cities of China.","source":"europepmc","abstract":"","url":"https://doi.org/10.1016/j.bsheal.2025.11.002","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.1016/j.bsheal.2025.11.002","addedAt":"2026-08-31T06:39:39.646Z","updatedAt":"2026-08-31T06:39:57.841Z"},{"id":"doi:10.1016/j.mex.2025.103657","name":"Urban Cycling Lab: A citizen science protocol for assessing and reducing exposure to environmental stressors among bike commuters.","source":"europepmc","abstract":"","url":"https://doi.org/10.1016/j.mex.2025.103657","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.1016/j.mex.2025.103657","addedAt":"2026-08-31T06:39:39.646Z","updatedAt":"2026-08-31T06:39:57.842Z"},{"id":"doi:10.1038/s44284-025-00367-y","name":"The status and politics of bicycling in the cities of low- and middle-income countries.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s44284-025-00367-y","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.1038/s44284-025-00367-y","addedAt":"2026-08-31T06:39:39.646Z","updatedAt":"2026-08-31T06:39:57.841Z"},{"id":"doi:10.1109/jbhi.2024.3508466","name":"Reducing Pollution Health Impact With Air Quality Prediction Assisted by Mobility Data.","source":"europepmc","abstract":"","url":"https://doi.org/10.1109/jbhi.2024.3508466","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.1109/jbhi.2024.3508466","addedAt":"2026-08-31T06:39:39.646Z","updatedAt":"2026-08-31T06:39:54.185Z"},{"id":"doi:10.1186/s12889-026-26929-w","name":"Shade and survival: heat, homelessness, and human dignity.","source":"europepmc","abstract":"","url":"https://doi.org/10.1186/s12889-026-26929-w","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.1186/s12889-026-26929-w","addedAt":"2026-08-31T06:39:39.646Z","updatedAt":"2026-08-31T06:39:57.841Z"},{"id":"doi:10.1121/10.0043731","name":"Performance and noise emission analysis of coaxial co-rotating propellersa).","source":"europepmc","abstract":"","url":"https://doi.org/10.1121/10.0043731","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.1121/10.0043731","addedAt":"2026-08-31T06:39:39.646Z","updatedAt":"2026-08-31T06:39:52.484Z"},{"id":"doi:10.1038/s41598-026-47392-y","name":"Retrofitted conversion of a Maruti Alto gasoline engine to compressed natural gas for sustainable mobility.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41598-026-47392-y","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.1038/s41598-026-47392-y","addedAt":"2026-08-31T06:39:39.646Z","updatedAt":"2026-08-31T06:39:57.841Z"},{"id":"doi:10.21203/rs.3.rs-9439570/v1","name":"Evaluation of impact resistance for resistance-welded composites","source":"europepmc","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-9439570/v1","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.21203/rs.3.rs-9439570/v1","addedAt":"2026-08-31T06:39:39.646Z","updatedAt":"2026-08-31T06:39:52.485Z"},{"id":"doi:10.1038/s41597-026-06555-2","name":"WorldMove, a global open data for human mobility.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41597-026-06555-2","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.1038/s41597-026-06555-2","addedAt":"2026-08-31T06:39:39.646Z","updatedAt":"2026-08-31T06:39:57.842Z"},{"id":"doi:10.3390/ijerph22121818","name":"Real-Life Assessment of Multi-Pollutant Exposure and Its Impact on the Ocular Surface: The Bike-Eye Pilot Study on Urban Cyclists in Bologna.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/ijerph22121818","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.3390/ijerph22121818","addedAt":"2026-08-31T06:39:39.646Z","updatedAt":"2026-08-31T06:39:57.842Z"},{"id":"doi:10.2196/84919","name":"Environmental Exposure and Mental Health in Hong Kong: Protocol for a GPS- and Biosensor-Based Observational Study.","source":"europepmc","abstract":"","url":"https://doi.org/10.2196/84919","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.2196/84919","addedAt":"2026-08-31T06:39:39.646Z","updatedAt":"2026-08-31T06:39:57.841Z"},{"id":"doi:10.1038/s41598-026-41543-x","name":"Non-monotonic effects and spatial spillovers of urban green space on chronic infectious disease dynamics in China.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41598-026-41543-x","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.1038/s41598-026-41543-x","addedAt":"2026-08-31T06:39:39.646Z","updatedAt":"2026-08-31T06:39:57.841Z"},{"id":"doi:10.1371/journal.pone.0348514","name":"Does digital-economy development improve air quality in Border Regions? Empirical evidence from 188 Chinese cities.","source":"europepmc","abstract":"","url":"https://doi.org/10.1371/journal.pone.0348514","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.1371/journal.pone.0348514","addedAt":"2026-08-31T06:39:39.646Z","updatedAt":"2026-08-31T06:39:57.842Z"},{"id":"doi:10.1007/s10552-026-02180-x","name":"Industrial air pollution and lung and bronchus cancer survival in New Mexico, USA.","source":"europepmc","abstract":"","url":"https://doi.org/10.1007/s10552-026-02180-x","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.1007/s10552-026-02180-x","addedAt":"2026-08-31T06:39:39.646Z","updatedAt":"2026-08-31T06:39:57.841Z"},{"id":"doi:10.1371/journal.pone.0330912","name":"Daily and seasonal human mobility modulates temperature exposure in European cities.","source":"europepmc","abstract":"","url":"https://doi.org/10.1371/journal.pone.0330912","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.1371/journal.pone.0330912","addedAt":"2026-08-31T06:39:39.646Z","updatedAt":"2026-08-31T06:39:57.842Z"},{"id":"doi:10.1093/heapro/daag026","name":"Calling for a more coherent policy response to driving harm.","source":"europepmc","abstract":"","url":"https://doi.org/10.1093/heapro/daag026","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.1093/heapro/daag026","addedAt":"2026-08-31T06:39:39.646Z","updatedAt":"2026-08-31T06:39:57.841Z"},{"id":"doi:10.1097/md.0000000000049092","name":"Insulin resistance mediates the association between sleep duration and type 2 diabetes: Urban-rural evidence from a Chinese cohort study.","source":"europepmc","abstract":"","url":"https://doi.org/10.1097/md.0000000000049092","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.1097/md.0000000000049092","addedAt":"2026-08-31T06:39:39.646Z","updatedAt":"2026-08-31T06:39:57.842Z"},{"id":"doi:10.1016/j.envres.2026.124700","name":"Seasonal shifts in the Belgrade airborne resistome and virulome: A metagenomic perspective.","source":"europepmc","abstract":"","url":"https://doi.org/10.1016/j.envres.2026.124700","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.1016/j.envres.2026.124700","addedAt":"2026-08-31T06:39:39.646Z","updatedAt":"2026-08-31T06:39:54.185Z"},{"id":"doi:10.1371/journal.pone.0346371","name":"University students' awareness of the social dimension of sustainable transportation: The case of Amasya/Turkey.","source":"europepmc","abstract":"","url":"https://doi.org/10.1371/journal.pone.0346371","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.1371/journal.pone.0346371","addedAt":"2026-08-31T06:39:39.646Z","updatedAt":"2026-08-31T06:39:57.842Z"},{"id":"doi:10.1007/s44212-026-00109-y","name":"Controlled environment agriculture as urban infrastructure: advancing a public agenda for spatial equity.","source":"europepmc","abstract":"Controlled Environment Agriculture (CEA) has emerged as a high-tech solution to urban food security. However, its development has largely been driven by venture capital and profit-maximizing imperatives, resulting in limited CEA scalability, narrow crop diversity, and minimal engagement with issues of spatial equity-defined here as the fair distribution of food infrastructure across urban geographies. This Perspective calls for a paradigm shift: positioning CEA not as a standalone technological fix, but as a component of urban infrastructure that integrates into urban systems to deliver co-benefits for food justice, public health, and environmental resilience. We argue that the public value of CEA should be a central aim of CEA deployment, guiding both research and planning agendas. To advance this vision, we highlight the potential of Geospatial Artificial Intelligence (GeoAI) and High-Performance Computing (HPC) as underexplored tools to enable adaptive crop management, site-specific decision support, and identify underserved communities for targeted interventions. When combined with urban informatics approaches, these technologies can help embed CEA within inclusive, data-informed, and climate-resilient city systems. We conclude by outlining priorities for a public-interest CEA agenda that aligns with sustainable urban development and spatial justice.","url":"https://doi.org/10.1007/s44212-026-00109-y","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.1007/s44212-026-00109-y","addedAt":"2026-08-31T06:39:39.646Z","updatedAt":"2026-08-31T06:39:57.842Z"},{"id":"doi:10.3389/fpubh.2026.1825759","name":"Influence of urban morphology on COVID-19 transmission in Saudi Arabia: lessons for the post-COVID era.","source":"europepmc","abstract":"","url":"https://doi.org/10.3389/fpubh.2026.1825759","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.3389/fpubh.2026.1825759","addedAt":"2026-08-31T06:39:39.646Z","updatedAt":"2026-08-31T06:39:57.841Z"},{"id":"doi:10.1021/acs.est.5c16737","name":"Atmospheric Chemistry Insights from the Global COVID-19 Pandemic: A Review.","source":"europepmc","abstract":"","url":"https://doi.org/10.1021/acs.est.5c16737","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.1021/acs.est.5c16737","addedAt":"2026-08-31T06:39:39.646Z","updatedAt":"2026-08-31T06:39:57.841Z"},{"id":"doi:10.1007/s40471-026-00391-z","name":"Air Pollution Within the Public Health Exposome Framework: Impacts on Cardiovascular Health.","source":"europepmc","abstract":"","url":"https://doi.org/10.1007/s40471-026-00391-z","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.1007/s40471-026-00391-z","addedAt":"2026-08-31T06:39:39.646Z","updatedAt":"2026-08-31T06:39:57.841Z"},{"id":"doi:10.1021/acsmeasuresciau.6c00039","name":"Rapid Classification of Coffee Varieties Using Single-Bean Hot Gas Extraction Ion-Mobility Spectrometry with Machine Learning.","source":"europepmc","abstract":"","url":"https://doi.org/10.1021/acsmeasuresciau.6c00039","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.1021/acsmeasuresciau.6c00039","addedAt":"2026-08-31T06:39:39.646Z","updatedAt":"2026-08-31T06:39:52.484Z"},{"id":"doi:10.1016/j.envint.2026.110066","name":"Air quality and health co-benefits of bus electrification: evidence from a UK metropolitan area.","source":"europepmc","abstract":"","url":"https://doi.org/10.1016/j.envint.2026.110066","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.1016/j.envint.2026.110066","addedAt":"2026-08-31T06:39:39.646Z","updatedAt":"2026-08-31T06:39:52.484Z"},{"id":"doi:10.21203/rs.3.rs-9022657/v1","name":"Evaluation of the effects of air pollutants on lung function using ambulatory air pollution monitor data from the Mobilisense Project","source":"europepmc","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-9022657/v1","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.21203/rs.3.rs-9022657/v1","addedAt":"2026-08-31T06:39:39.646Z","updatedAt":"2026-08-31T06:39:57.842Z"},{"id":"doi:10.1371/journal.pone.0338500","name":"The comparative advantages of HSR, AIR, and HA on the coordinated regional economic development in China.","source":"europepmc","abstract":"","url":"https://doi.org/10.1371/journal.pone.0338500","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.1371/journal.pone.0338500","addedAt":"2026-08-31T06:39:39.646Z","updatedAt":"2026-08-31T06:39:57.842Z"},{"id":"doi:10.1038/s41370-025-00832-9","name":"Developing microenvironment classification models for personal exposure assessment based on global positioning system tracking data.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41370-025-00832-9","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.1038/s41370-025-00832-9","addedAt":"2026-08-31T06:39:39.646Z","updatedAt":"2026-08-31T06:39:52.484Z"},{"id":"doi:10.20944/preprints202603.2473.v1","name":"Sustainability Considerations for UAM in the Smart City","source":"europepmc","abstract":"","url":"https://doi.org/10.20944/preprints202603.2473.v1","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.20944/preprints202603.2473.v1","addedAt":"2026-08-31T06:39:39.646Z","updatedAt":"2026-08-31T06:39:52.485Z"},{"id":"doi:10.1038/s41598-026-47163-9","name":"An advanced GIS based hazard index tool for an automated health risk assessment framework.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41598-026-47163-9","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.1038/s41598-026-47163-9","addedAt":"2026-08-31T06:39:39.646Z","updatedAt":"2026-08-31T06:39:57.842Z"},{"id":"doi:10.20944/preprints202512.0671.v1","name":"SUDEM Foresight: Advanced Air Mobility Drone Operations Based on Future Advanced Communication Systems – as Crucial Elements of a System of Systems for Effective Disaster Management and Emergency Operations","source":"europepmc","abstract":"","url":"https://doi.org/10.20944/preprints202512.0671.v1","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.20944/preprints202512.0671.v1","addedAt":"2026-08-31T06:39:39.646Z","updatedAt":"2026-08-31T06:39:54.186Z"},{"id":"doi:10.3390/idr18030057","name":"Climate Change and Emerging Arboviral Threats in Saudi Arabia: Epidemiology, Vector Ecology, and One Health Preparedness.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/idr18030057","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.3390/idr18030057","addedAt":"2026-08-31T06:39:39.646Z","updatedAt":"2026-08-31T06:39:57.841Z"},{"id":"doi:10.21203/rs.3.rs-8828727/v1","name":"Characterizing space-time patterns of nitrogen oxides (NO 2 and NO) pollution in Kigali, Rwanda","source":"europepmc","abstract":"Abstract Kigali, like many cities in sub-Saharan Africa (SSA), must balance rapid urban growth and the provision of essential services with the need to curb environmental pollution and protect public health in the context of its unique topography. Although the city has implemented policies aimed at reducing emissions from multiple sectors, systematic data on oxides of nitrogen (NO X ; NO 2 and NO), key markers of combustion-related urban air pollution, have been limited. We applied a standardized measurement protocol previously used in Accra, Ghana, to characterize city-scale spatial and temporal patterns of NO X pollution in Kigali. Between November 2022 and December 2023, we deployed Ogawa passive samplers to collect weekly integrated NO 2 (n = 630) and NO (n = 630) samples across 130 sites (10 year-long and 120 rotating week-long locations) representing diverse land-use types and source characteristics. Weekly NO 2 and NO concentrations ranged from approximately 2 to 62 µg/m3 (mean [SD]: 13.9 [11.4]) and approximately 1 to 49 µg/m³, respectively. Although nearly all background sites recorded NO 2 concentrations below the World Health Organization (WHO) annual guideline of 10 µg/m3, exceedances were common in more urbanized settings, occurring in 39% of samples from sparsely residential areas, 89% from commercial, business, and industrial (CBI) areas, and 99% from densely populated residential areas. Mean NO 2 concentrations were significantly higher in urban compared with rural neighborhoods (18.2 vs. 6.3 µg/m³; p 2 and NO concentrations across Kigali were strongly patterned by land use, traffic proximity, population density, and topography, with the highest levels observed in traffic-dominated, densely populated, low-elevation areas. These city-wide measurement data provide critical evidence to inform land-use planning, air quality management, and regulatory strategies in a rapidly urbanizing, landlocked city characterized by complex topography.","url":"https://doi.org/10.21203/rs.3.rs-8828727/v1","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.21203/rs.3.rs-8828727/v1","addedAt":"2026-08-31T06:39:39.646Z","updatedAt":"2026-08-31T06:39:57.842Z"},{"id":"doi:10.1186/s12942-026-00454-w","name":"Association between long-term, short-term spatial land surface temperature variations and health-related quality of life in Lima, Peru.","source":"europepmc","abstract":"","url":"https://doi.org/10.1186/s12942-026-00454-w","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.1186/s12942-026-00454-w","addedAt":"2026-08-31T06:39:39.646Z","updatedAt":"2026-08-31T06:39:57.841Z"},{"id":"doi:10.1097/md.0000000000048831","name":"Air quality correlations with physical activity and asthma in the elderly.","source":"europepmc","abstract":"","url":"https://doi.org/10.1097/md.0000000000048831","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.1097/md.0000000000048831","addedAt":"2026-08-31T06:39:39.646Z","updatedAt":"2026-08-31T06:39:57.842Z"},{"id":"doi:10.1186/s12889-025-25849-5","name":"An updated synthesis of environmental factors influencing mobility and social participation in older adults: results from a scoping review.","source":"europepmc","abstract":"","url":"https://doi.org/10.1186/s12889-025-25849-5","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.1186/s12889-025-25849-5","addedAt":"2026-08-31T06:39:39.646Z","updatedAt":"2026-08-31T06:39:57.841Z"},{"id":"doi:10.1038/s41598-026-45750-4","name":"Evaluating coastal urban underground space for ecological and marine-pollution suitability using AHP-TOPSIS.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41598-026-45750-4","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.1038/s41598-026-45750-4","addedAt":"2026-08-31T06:39:39.646Z","updatedAt":"2026-08-31T06:39:57.842Z"},{"id":"doi:10.1038/s41598-026-46744-y","name":"Spatiotemporal evolution and driving factors of urban-rural integration in the Jinan metropolitan area.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41598-026-46744-y","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.1038/s41598-026-46744-y","addedAt":"2026-08-31T06:39:39.646Z","updatedAt":"2026-08-31T06:39:57.842Z"},{"id":"doi:10.1016/j.scitotenv.2025.180266","name":"How far can we improve urban air quality and population exposure by changing mobility? An analysis in Paris.","source":"europepmc","abstract":"","url":"https://doi.org/10.1016/j.scitotenv.2025.180266","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.1016/j.scitotenv.2025.180266","addedAt":"2026-08-31T06:39:39.646Z","updatedAt":"2026-08-31T06:39:54.186Z"},{"id":"doi:10.20944/preprints202512.1946.v1","name":"The Potential of Hydrogen Fuel Cell Buses for Sustainable Urban Transportation: A Life Cycle Perspective","source":"europepmc","abstract":"","url":"https://doi.org/10.20944/preprints202512.1946.v1","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.20944/preprints202512.1946.v1","addedAt":"2026-08-31T06:39:39.646Z","updatedAt":"2026-08-31T06:39:54.186Z"},{"id":"doi:10.1093/geroni/igaf119","name":"Green space and older adults' health: a scoping review.","source":"europepmc","abstract":"","url":"https://doi.org/10.1093/geroni/igaf119","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.1093/geroni/igaf119","addedAt":"2026-08-31T06:39:39.646Z","updatedAt":"2026-08-31T06:39:57.841Z"},{"id":"doi:10.1186/s12942-025-00410-0","name":"The effect of recurrent mobility on air pollution exposure and mortality burden in Catalonia.","source":"europepmc","abstract":"","url":"https://doi.org/10.1186/s12942-025-00410-0","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.1186/s12942-025-00410-0","addedAt":"2026-08-31T06:39:39.646Z","updatedAt":"2026-08-31T06:39:57.842Z"},{"id":"doi:10.1038/s41598-026-38486-8","name":"Sustainable walkability around green, blue, and spiritual spaces in a semi-urban district of coastal Karnataka, India.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41598-026-38486-8","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.1038/s41598-026-38486-8","addedAt":"2026-08-31T06:39:39.646Z","updatedAt":"2026-08-31T06:39:57.842Z"},{"id":"doi:10.3390/ijerph23030365","name":"Evaluating Microclimate Modification and Acute Cardiovascular Stress Responses to a Dense Urban Microforest: The Green Oasis (GRO) Protocol.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/ijerph23030365","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.3390/ijerph23030365","addedAt":"2026-08-31T06:39:39.646Z","updatedAt":"2026-08-31T06:39:57.842Z"},{"id":"doi:10.21203/rs.3.rs-9260066/v1","name":"The Role of Network Robustness in Bike-Sharing Location Choice: A Multicriteria Approach","source":"europepmc","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-9260066/v1","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.21203/rs.3.rs-9260066/v1","addedAt":"2026-08-31T06:39:39.646Z","updatedAt":"2026-08-31T06:39:52.485Z"},{"id":"doi:10.1097/ee9.0000000000000484","name":"Air pollution and the risk of bronchiolitis-related hospital admission in a birth cohort of over 400,000 children born in London.","source":"europepmc","abstract":"","url":"https://doi.org/10.1097/ee9.0000000000000484","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.1097/ee9.0000000000000484","addedAt":"2026-08-31T06:39:39.646Z","updatedAt":"2026-08-31T06:39:57.842Z"},{"id":"doi:10.3390/s25227099","name":"SenseBike: A New Low-Cost Mobile-Networked Sensor System for Cyclists to Monitor Air Quality and Automatically Measure Passing Distances in Urban Traffic.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s25227099","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.3390/s25227099","addedAt":"2026-08-31T06:39:39.646Z","updatedAt":"2026-08-31T06:39:57.842Z"},{"id":"doi:10.1186/s12889-025-25754-x","name":"The association between air pollution exposure and childhood cancer: a scoping review about the challenges in epidemiological studies.","source":"europepmc","abstract":"","url":"https://doi.org/10.1186/s12889-025-25754-x","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.1186/s12889-025-25754-x","addedAt":"2026-08-31T06:39:39.646Z","updatedAt":"2026-08-31T06:39:57.841Z"},{"id":"doi:10.1590/1984-0462/2026/44/2025214","name":"Mortality and morbidity caused by pneumonia in children and adolescents are associated with socioeconomic and urban conditions in São Paulo, Brazil.","source":"europepmc","abstract":"","url":"https://doi.org/10.1590/1984-0462/2026/44/2025214","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.1590/1984-0462/2026/44/2025214","addedAt":"2026-08-31T06:39:39.646Z","updatedAt":"2026-08-31T06:39:54.186Z"},{"id":"doi:10.3390/ijerph23020191","name":"Counterintuitive PM&lt;sub&gt;2.5&lt;/sub&gt; Increases During COVID-19 Lockdown in Ilo, Peru: Coastal Meteorology and Cardiovascular Implications.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/ijerph23020191","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.3390/ijerph23020191","addedAt":"2026-08-31T06:39:39.646Z","updatedAt":"2026-08-31T06:39:57.842Z"},{"id":"doi:10.1038/s41598-025-34674-0","name":"Optimizing 5G NR link layer parameters for eMBB and URLLC applications under dynamic channel and transmission configurations.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41598-025-34674-0","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.1038/s41598-025-34674-0","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:57.842Z"},{"id":"doi:10.1007/s10980-026-02311-4","name":"Adapting a systematic conservation planning tool for supporting accessible and diverse urban greenspace recreation.","source":"europepmc","abstract":"","url":"https://doi.org/10.1007/s10980-026-02311-4","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.1007/s10980-026-02311-4","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:57.842Z"},{"id":"doi:10.20944/preprints202506.1904.v1","name":"Ventilation Challenges in Costa Rican Urban Public Transport: Implications for Health and Sustainable Mobility","source":"europepmc","abstract":"","url":"https://doi.org/10.20944/preprints202506.1904.v1","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.20944/preprints202506.1904.v1","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:54.186Z"},{"id":"doi:10.1186/s13690-026-01906-2","name":"Climate justice, mobility justice, and health inequities among racialized communities in Canada: a scoping review.","source":"europepmc","abstract":"","url":"https://doi.org/10.1186/s13690-026-01906-2","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.1186/s13690-026-01906-2","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:57.841Z"},{"id":"doi:10.1021/acs.est.5c08034","name":"Nucleation-Mode-Particle Emissions from Biosolid Processing Plants.","source":"europepmc","abstract":"","url":"https://doi.org/10.1021/acs.est.5c08034","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.1021/acs.est.5c08034","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:57.842Z"},{"id":"doi:10.1038/s41597-025-06287-9","name":"High-resolution gridded CO&lt;sub&gt;2&lt;/sub&gt; and pollutant emission data from road traffic in Indian cities.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41597-025-06287-9","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.1038/s41597-025-06287-9","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:57.842Z"},{"id":"doi:10.20944/preprints202512.0250.v1","name":"Urban Parks as Beneficial and POPs Contaminated Landscapes","source":"europepmc","abstract":"","url":"https://doi.org/10.20944/preprints202512.0250.v1","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.20944/preprints202512.0250.v1","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:57.842Z"},{"id":"doi:10.22541/au.176824668.87672861/v1","name":"The Untapped Potential of India's College Roofs as Drone Test Sites","source":"europepmc","abstract":"","url":"https://doi.org/10.22541/au.176824668.87672861/v1","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.22541/au.176824668.87672861/v1","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:40:02.908Z"},{"id":"doi:10.1021/acsestair.5c00417","name":"Source Contributions to Brown Carbon Absorption in Toronto Air during the Wildfire Season.","source":"europepmc","abstract":"","url":"https://doi.org/10.1021/acsestair.5c00417","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.1021/acsestair.5c00417","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:52.484Z"},{"id":"doi:10.1016/j.jhazmat.2025.140779","name":"Phages and plasmids mediate antibiotic resistance gene transfer in urban airborne bacteria.","source":"europepmc","abstract":"","url":"https://doi.org/10.1016/j.jhazmat.2025.140779","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.1016/j.jhazmat.2025.140779","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:52.484Z"},{"id":"doi:10.1016/j.envint.2025.109758","name":"Diurnal variation mapping of urban NO&lt;sub&gt;2&lt;/sub&gt; concentrations at high spatial resolution using mobile phone signaling data.","source":"europepmc","abstract":"","url":"https://doi.org/10.1016/j.envint.2025.109758","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.1016/j.envint.2025.109758","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:54.186Z"},{"id":"doi:10.3390/toxics13100866","name":"Linking Atmospheric and Soil Contamination: A Comparative Study of PAHs and Metals in PM&lt;sub&gt;10&lt;/sub&gt; and Surface Soil near Urban Monitoring Stations.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/toxics13100866","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.3390/toxics13100866","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:57.842Z"},{"id":"doi:10.3389/fpubh.2026.1776572","name":"Public open spaces and well-being: a comparative study of migrant and local older adults in Dongguan.","source":"europepmc","abstract":"","url":"https://doi.org/10.3389/fpubh.2026.1776572","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.3389/fpubh.2026.1776572","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:57.842Z"},{"id":"doi:10.1016/j.healthpol.2025.105376","name":"Urban NO&lt;sub&gt;2&lt;/sub&gt;-pollution and health outcomes: Evidence from a natural experiment in Italy on the simulated benefits of the EU zero-emission-vehicles resolution.","source":"europepmc","abstract":"","url":"https://doi.org/10.1016/j.healthpol.2025.105376","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.1016/j.healthpol.2025.105376","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:54.186Z"},{"id":"doi:10.1128/aac.01600-25","name":"Spatiotemporal dynamics and multiple driving factors of antimicrobial resistance in China during the COVID-19 pandemic (2019-2023): a provincial panel data analysis.","source":"europepmc","abstract":"","url":"https://doi.org/10.1128/aac.01600-25","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.1128/aac.01600-25","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:52.485Z"},{"id":"doi:10.1016/j.waojou.2026.101351","name":"Nature prescription for patients with chronic respiratory diseases.","source":"europepmc","abstract":"","url":"https://doi.org/10.1016/j.waojou.2026.101351","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.1016/j.waojou.2026.101351","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:57.842Z"},{"id":"doi:10.1038/s41467-026-70082-2","name":"The key role of nanoparticle concentration gradient in aerosol initial growth.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41467-026-70082-2","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.1038/s41467-026-70082-2","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:57.842Z"},{"id":"doi:10.1016/j.jhazmat.2025.140949","name":"Climate change mobilizes urban PAHs into systemic environmental risks (SERisks).","source":"europepmc","abstract":"","url":"https://doi.org/10.1016/j.jhazmat.2025.140949","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.1016/j.jhazmat.2025.140949","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:57.842Z"},{"id":"doi:10.3390/toxics14060520","name":"Assessing the Water Quality of a Stream and Its Relationship with Climate Change Using Water Quality Index and Multivariate Statistical Methods.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/toxics14060520","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.3390/toxics14060520","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:57.842Z"},{"id":"doi:10.5281/zenodo.21818473","name":"raza-waleed/aircraft-detection-paper: v1.0.0 - AIAA 2026-0465 code and model release","source":"datacite","abstract":"Initial public release accompanying our AIAA SciTech 2026 paper (AIAA 2026-0465), A Comparative Study of Vision-Based Detect and Avoid for Urban Air Mobility. Contents: Training and evaluation code for DETR, YOLOv9, and YOLOv11 aircraft detectors Trained on the AVOIDDS dataset (Stanford Digital Repository, CC BY 4.0) Trained weights hosted separately on Hugging Face: huggingface.co/waleedraza93/aircraft-detection-paper This release is archived on Zenodo for a citable, versioned DOI.","url":"https://doi.org/10.5281/zenodo.21818473","authors":["Waleed Raza"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.21818473","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:50.721Z"},{"id":"doi:10.5281/zenodo.21818474","name":"raza-waleed/aircraft-detection-paper: v1.0.0 - AIAA 2026-0465 code and model release","source":"datacite","abstract":"Initial public release accompanying our AIAA SciTech 2026 paper (AIAA 2026-0465), A Comparative Study of Vision-Based Detect and Avoid for Urban Air Mobility. Contents: Training and evaluation code for DETR, YOLOv9, and YOLOv11 aircraft detectors Trained on the AVOIDDS dataset (Stanford Digital Repository, CC BY 4.0) Trained weights hosted separately on Hugging Face: huggingface.co/waleedraza93/aircraft-detection-paper This release is archived on Zenodo for a citable, versioned DOI.","url":"https://doi.org/10.5281/zenodo.21818474","authors":["Waleed Raza"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.21818474","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:50.721Z"},{"id":"doi:10.5075/epfl-thesis-6151","name":"Population Sensing Using Mobile Devices : a Statistical Opportunity or a Privacy Nightmare?","source":"datacite","abstract":"In our daily lives, our mobile phones sense our movements and interactions via a rich set of embedded sensors such as a GPS, Bluetooth, accelerometers, and microphones. This enables us to use mobile phones as agents for collecting spatio-temporal data. The idea of mining these spatio-temporal data is currently being explored for many applications, including environmental pollution monitoring, health care, and social networking. When used as sensing devices, a particular feature of mobile phones is their aspect of mobility, in contrast to static sensors. Furthermore, despite having useful applications, collecting data from mobile phones introduces privacy concerns, as the collected data might reveal sensitive information about the users, especially if the collector has access to auxiliary information. In the first part of this thesis, we use spatio-temporal data collected by mobile phones in order to evaluate different features of a population related to their mobility patterns. In particular, we consider the problems of population-size and population-density estimation that have applications, among others, in crowd monitoring, activity-hotspot detection, and urban analysis. We first conduct an experiment where ten attendees of an open-air music festival act as Bluetooth probes. Next, we construct parametric statistical models to estimate the total number of visible Bluetooth devices and their density in the festival area. We further test our proposed models against Wi-Fi traces obtained on the EPFL campus. We conclude that mobile phones can be effectively used as sensing devices to evaluate mobility-related parameters of a population. For the specific problem of population-density estimation, we investigate the mobility aspect of sensing: We quantitatively analyze the performance of mobile sensors compared to static sensors. Under an independent and identically distributed mobility model for the population, we derive the optimal random-movement strategy for mobile sensors in order to yield the best estimate of population density (in the mean-squared error sense). This enables us to plan an adaptive trajectory for the mobile sensors. In particular, we demonstrate that mobility brings an added value to the sensors; these sensors outperform static sensors for long observation intervals. In the second part of this thesis, we analyze the vulnerability of anonymized mobility statistics stored in the form of histograms. We consider an attacker who has access to an anonymized set of histograms of a set of users’ mobility traces and to an independent set of non-anonymized histograms of traces belonging to the same users. We study the hypothesis-testing problem of identifying the correct matching between the anonymized histograms and the non-anonymized histograms. We show that the solution can be obtained by using a minimum-weight matching algorithm on a complete weighted bipartite graph. By applying the algorithm to Wi-Fi traces obtained on the EPFL campus, we demonstrate that in fact anonymized histograms contain a significant amount of information that could be used to uniquely identify users by an attacker with access to auxiliary information about the users. Finally, we demonstrate how trust relationships between users can be exploited to enhance their privacy. We consider the specific problem of the privacy-preserving computation of functions of data that belong to users in a social network. An example of an application is a poll or a survey on a private issue. Most of the known non-cryptographic solutions to this problem can be viewed as belonging to one of the following two extreme regimes. The first regime is when every user trusts only herself and she is responsible for protecting her own privacy. In other words, the circle of trust of a user has a single member: herself. In the second regime, every user trusts herself and the server, but not any of the other users. In other words, the circle of trust of a user comprises herse","url":"https://doi.org/10.5075/epfl-thesis-6151","authors":["Movahedi Naini, Farid"],"tags":["Mobile sensing","Population size and density estimation","Opportunistic sampling","Bluetooth sampling","Spatial density estimation","Anonymized histograms","Joint user and location de-anonymization","Private function computation"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2014","doi":"10.5075/epfl-thesis-6151","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:39.647Z"},{"id":"doi:10.5281/zenodo.21288043","name":"Code and results for \"Dynamic Population Analytics Reveals Temporal Preference Reversal in Urban UAV Corridor Routing\"","source":"datacite","abstract":"Reproducibility package for the paper “Dynamic Population Analytics Reveals Temporal Preference Reversal in Urban UAV Corridor Routing.” The archive contains the Python implementation of the time-varying corridor externality model, synthetic urban corridor-network generators, static and time-dependent routing algorithms, candidate-path enumeration, preference-reversal and reservoir-tilt analyses, machine-readable computational results, and figure-generation code. All data and instances are synthetic and literature-informed; the package contains no personal or operational UAV data. The archived results include 108 reversing pairs among 267 structurally distinct path pairs, the round-trip policy comparisons, severity and residential-retention sensitivity analyses, and the band-structured control instance.","url":"https://doi.org/10.5281/zenodo.21288043","authors":["He, Chang","Yang, Ping","Shi, Jianmai"],"tags":["urban UAV routing","time-dependent routing","dynamic population","preference reversal","urban air mobility","ground externality"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.21288043","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:39.647Z"},{"id":"doi:10.5281/zenodo.21288044","name":"Code and results for \"Dynamic Population Analytics Reveals Temporal Preference Reversal in Urban UAV Corridor Routing\"","source":"datacite","abstract":"Reproducibility package for the paper “Dynamic Population Analytics Reveals Temporal Preference Reversal in Urban UAV Corridor Routing.” The archive contains the Python implementation of the time-varying corridor externality model, synthetic urban corridor-network generators, static and time-dependent routing algorithms, candidate-path enumeration, preference-reversal and reservoir-tilt analyses, machine-readable computational results, and figure-generation code. All data and instances are synthetic and literature-informed; the package contains no personal or operational UAV data. The archived results include 108 reversing pairs among 267 structurally distinct path pairs, the round-trip policy comparisons, severity and residential-retention sensitivity analyses, and the band-structured control instance.","url":"https://doi.org/10.5281/zenodo.21288044","authors":["He, Chang","Yang, Ping","Shi, Jianmai"],"tags":["urban UAV routing","time-dependent routing","dynamic population","preference reversal","urban air mobility","ground externality"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.21288044","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:39.647Z"},{"id":"doi:10.5281/zenodo.21455043","name":"Comparative Analysis of Internal Combustion Engine to Electric Vehicle Conversions in Nepal: Technical Frameworks, Economic Viability, and Regulatory Horizons","source":"datacite","abstract":"Nepal faces a compounding economic and environmental crisis driven by its complete reliance on imported petroleum products. In the 2021/22 fiscal year alone, the country spent NPR 292.77 billion on fossil fuels, which severely drained foreign currency reserves. Simultaneously, vehicle emissions have caused critical urban air pollution, causing thousands of premature deaths annually in the Kathmandu Valley. To counter this, the Government of Nepal has focused on electric mobility to utilize its growing domestic surplus of renewable hydropower. This shift supports the state's Second Nationally Determined Contribution (NDC) goal, which targets a net-zero transport emission framework. However, buying brand-new electric vehicles (EVs) remains expensive due to high upfront technology costs. Transforming internal combustion engine (ICE) vehicles into electric vehicles through retrofitting offers a low-cost, resource-efficient solution. By modifying the traditional legal barriers in Section 39 of the Motor Vehicles and Transport Management Act 2049 BS, the Cabinet has opened a 3-year window that legalizes ICE-to-EV conversions. This study evaluates the technical and financial viability of retrofitting internal combustion engine vehicles in Nepal with 10-15 kW motors and 15-20 kWh batteries, offering a 150–180 km urban range and up to 90% reduced operating costs. The analysis provides a roadmap for policy makers and workshops to adopt standardized conversion practices to utilize domestic hydropower and address challenges like regulatory gaps and safety concerns.","url":"https://doi.org/10.5281/zenodo.21455043","authors":["Suresh Sapkota"],"tags":["Electric vehicle, battery, Nepal"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.21455043","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:39.647Z"},{"id":"doi:10.5281/zenodo.21455044","name":"Comparative Analysis of Internal Combustion Engine to Electric Vehicle Conversions in Nepal: Technical Frameworks, Economic Viability, and Regulatory Horizons","source":"datacite","abstract":"Nepal faces a compounding economic and environmental crisis driven by its complete reliance on imported petroleum products. In the 2021/22 fiscal year alone, the country spent NPR 292.77 billion on fossil fuels, which severely drained foreign currency reserves. Simultaneously, vehicle emissions have caused critical urban air pollution, causing thousands of premature deaths annually in the Kathmandu Valley. To counter this, the Government of Nepal has focused on electric mobility to utilize its growing domestic surplus of renewable hydropower. This shift supports the state's Second Nationally Determined Contribution (NDC) goal, which targets a net-zero transport emission framework. However, buying brand-new electric vehicles (EVs) remains expensive due to high upfront technology costs. Transforming internal combustion engine (ICE) vehicles into electric vehicles through retrofitting offers a low-cost, resource-efficient solution. By modifying the traditional legal barriers in Section 39 of the Motor Vehicles and Transport Management Act 2049 BS, the Cabinet has opened a 3-year window that legalizes ICE-to-EV conversions. This study evaluates the technical and financial viability of retrofitting internal combustion engine vehicles in Nepal with 10-15 kW motors and 15-20 kWh batteries, offering a 150–180 km urban range and up to 90% reduced operating costs. The analysis provides a roadmap for policy makers and workshops to adopt standardized conversion practices to utilize domestic hydropower and address challenges like regulatory gaps and safety concerns.","url":"https://doi.org/10.5281/zenodo.21455044","authors":["Suresh Sapkota"],"tags":["Electric vehicle, battery, Nepal"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.21455044","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:39.647Z"},{"id":"doi:10.24407/kxp:192853063x","name":"Development of a prototype vertiport human automation teaming toolbox for urban air mobility","source":"datacite","abstract":"Illustrationen","url":"https://doi.org/10.24407/kxp:192853063x","authors":["Krois, Paul","Block, Joseph","Cobb, Paul","Chatterji, Gano","Kurian, Cherie","Wei, Peng","Chen, Shulu"],"tags":["Luftfahrtpsychologie","Educational Science","Angewandte Psychologie"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2023","doi":"10.24407/kxp:192853063x","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:39.647Z"},{"id":"doi:10.24407/kxp:1928533108","name":"The viability of see-and-avoid for urban air mobility operations","source":"datacite","abstract":"Proceedings of the 22nd International Symposium of Aviation Psychology; 6","url":"https://doi.org/10.24407/kxp:1928533108","authors":["Mogford, Richard","Johnson, Walter"],"tags":["Luftfahrtpsychologie","Educational Science","Angewandte Psychologie"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2023","doi":"10.24407/kxp:1928533108","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:39.647Z"},{"id":"doi:10.24407/kxp:1928323790","name":"Pilots' perspectives on urban air mobility safety challenges and potential solutions","source":"datacite","abstract":"Illustration","url":"https://doi.org/10.24407/kxp:1928323790","authors":["Ghatas, Rania Wageh","Samani, Saeideh E.","Dulchinos, Victoria L.","Mogford, Richard H."],"tags":["Luftfahrtpsychologie","Educational Science","Angewandte Psychologie"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2023","doi":"10.24407/kxp:1928323790","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:39.647Z"},{"id":"doi:10.2314/kxp:1752306716","name":"Projekt GABi - Gesellschaftliche Akzeptanz und Bürgerintegration im Rahmen von Urban Air Mobility : Abschlussbericht : Projektlaufzeit: 01.06.-07.02.2020","source":"datacite","abstract":"Illustrationen, Diagramme","url":"https://doi.org/10.2314/kxp:1752306716","authors":["Unknown"],"tags":["Luftverkehr","Unbemanntes Flugzeug","Stadtverkehr","Akzeptanz","Luftverkehr, Raumfahrt","Traffic engineering","Stadtverkehr, Nahverkehr"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2020","doi":"10.2314/kxp:1752306716","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:39.647Z"},{"id":"doi:10.5281/zenodo.22133650","name":"UrbHealth-ABM: Urban Health Scenario Agent-based Model","source":"datacite","abstract":"This repository (or script) contains an Agent-Based Model (ABM) that simulates individual-level actvity schedules, mobility choices, resulting traffic and air pollution and exposure to air pollution and transport related physical activity under different urban scenarios. This repository contains the ABM model and input data used for the paper \"Discovering environmental health effects of transport scenarios through agent-based simulations\" published by Environment International. This ABM simulates: Human agents with demographic attributes, daily schedules, and location-based activities (e.g., work, school, shopping). Travel decisions (mode choice, routes) based on environmental attributes and personal demographics. Traffic density on road networks derived from aggregated individual travel. Air pollution levels (NO2), calculated from a hybrid dispersion model that uses baseline concentration, traffic volume, and built-environment features. Exposure of each agent to hourly NO2 concentrations, differentiating between indoor/outdoor exposure. It leverages real-world data (e.g., geospatial building footprints, road networks, travel patterns, demographic data) to simulate within the Amsterdam region (or your chosen city). Key Features Simultaneous Activation of agents (via Mesa's SimultaneousActivation). OSRM-based routing for bike, drive, walk, or transit modes. Conditional route reuse (caching of frequently traveled routes). Hourly traffic assignment to a grid, with optional regression-based or remainder-based approaches to match observed traffic. hybrid dispersion calculations for NO2 considering meteorological and morphological dispersion moderators, using cellular automata (via CellAutDisp). Personal Exposure to NO2 (depending on activity and mobility patterns) and transport physical activity Scenario-based interventions (e.g., no-emission zones, 15-minute city, increased parking fees). Parallelization with Python’s multiprocessing to handle large agent sets efficientlyFor more information read the GitHub README file.","url":"https://doi.org/10.5281/zenodo.22133650","authors":["Sonnenschein, Tabea"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.22133650","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:39.647Z"},{"id":"doi:10.5281/zenodo.22133651","name":"UrbHealth-ABM: Urban Health Scenario Agent-based Model","source":"datacite","abstract":"This repository (or script) contains an Agent-Based Model (ABM) that simulates individual-level actvity schedules, mobility choices, resulting traffic and air pollution and exposure to air pollution and transport related physical activity under different urban scenarios. This repository contains the ABM model and input data used for the paper \"Discovering environmental health effects of transport scenarios through agent-based simulations\" published by Environment International. This ABM simulates: Human agents with demographic attributes, daily schedules, and location-based activities (e.g., work, school, shopping). Travel decisions (mode choice, routes) based on environmental attributes and personal demographics. Traffic density on road networks derived from aggregated individual travel. Air pollution levels (NO2), calculated from a hybrid dispersion model that uses baseline concentration, traffic volume, and built-environment features. Exposure of each agent to hourly NO2 concentrations, differentiating between indoor/outdoor exposure. It leverages real-world data (e.g., geospatial building footprints, road networks, travel patterns, demographic data) to simulate within the Amsterdam region (or your chosen city). Key Features Simultaneous Activation of agents (via Mesa's SimultaneousActivation). OSRM-based routing for bike, drive, walk, or transit modes. Conditional route reuse (caching of frequently traveled routes). Hourly traffic assignment to a grid, with optional regression-based or remainder-based approaches to match observed traffic. hybrid dispersion calculations for NO2 considering meteorological and morphological dispersion moderators, using cellular automata (via CellAutDisp). Personal Exposure to NO2 (depending on activity and mobility patterns) and transport physical activity Scenario-based interventions (e.g., no-emission zones, 15-minute city, increased parking fees). Parallelization with Python’s multiprocessing to handle large agent sets efficientlyFor more information read the GitHub README file.","url":"https://doi.org/10.5281/zenodo.22133651","authors":["Sonnenschein, Tabea"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.22133651","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:39.647Z"},{"id":"doi:10.5281/zenodo.21584760","name":"A Comprehensive Study on Consumer","source":"datacite","abstract":"At present, the Bangalore citizens are living each day on an accumulation of excessive traffic and noise. Other aspects that are being seriously harmed by the city traffic are the air quality and the health. The traffic is the main source of many air pollutants such as carbon monoxide and suspended particulates. In addition, addition, the air pollution is the main cause of environmental disease. Because of this air pollution, the citizens have many possibilities to suffer some cardiovascular and respiratory problems. This problem is more and more increasing because of the traffic. Finally, and no less important, the climate change is quickly growing because of the air pollution in the cities. To improve this situation, it is necessary to change the culture and the costumes for urban mobility. Institutions and citizens must make an effort and try to solve this problem as soon as possible. With Increasing in air pollution in urban areas and scarcity of fuels Electric bikes (E-bikes) are in great demand but they are not used by most people because of lack of awareness. India electric scooters and motorcycles market is projected to reach $617.7 million by 2025. Moreover, these electric two-wheelers are virtually silent and do not cause noise pollution. This paper focusses on building the consumers behaviour towards e- bikes. Data was collected through Secondary source of Data.","url":"https://doi.org/10.5281/zenodo.21584760","authors":["Keer, Dr. Priyameet Kaur","Misra, Dr. Sheelan"],"tags":["Air pollution","Consumers"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2021","doi":"10.5281/zenodo.21584760","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:52.013Z"},{"id":"doi:10.5281/zenodo.21584761","name":"A Comprehensive Study on Consumer","source":"datacite","abstract":"At present, the Bangalore citizens are living each day on an accumulation of excessive traffic and noise. Other aspects that are being seriously harmed by the city traffic are the air quality and the health. The traffic is the main source of many air pollutants such as carbon monoxide and suspended particulates. In addition, addition, the air pollution is the main cause of environmental disease. Because of this air pollution, the citizens have many possibilities to suffer some cardiovascular and respiratory problems. This problem is more and more increasing because of the traffic. Finally, and no less important, the climate change is quickly growing because of the air pollution in the cities. To improve this situation, it is necessary to change the culture and the costumes for urban mobility. Institutions and citizens must make an effort and try to solve this problem as soon as possible. With Increasing in air pollution in urban areas and scarcity of fuels Electric bikes (E-bikes) are in great demand but they are not used by most people because of lack of awareness. India electric scooters and motorcycles market is projected to reach $617.7 million by 2025. Moreover, these electric two-wheelers are virtually silent and do not cause noise pollution. This paper focusses on building the consumers behaviour towards e- bikes. Data was collected through Secondary source of Data.","url":"https://doi.org/10.5281/zenodo.21584761","authors":["Keer, Dr. Priyameet Kaur","Misra, Dr. Sheelan"],"tags":["Air pollution","Consumers"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2021","doi":"10.5281/zenodo.21584761","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:52.013Z"},{"id":"doi:10.5281/zenodo.20172043","name":"Vertiport Placement for Urban Air Mobility to Reduce Time for Multimodal Travel","source":"datacite","abstract":"","url":"https://doi.org/10.5281/zenodo.20172043","authors":["Chati, Yashovardhan","Yamini, Sharma","Nikam, Kirti","Devkar, Prasad","Vasan, Arunchandar"],"tags":["Aviation","Air traffic management"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.20172043","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:39.647Z"},{"id":"doi:10.5281/zenodo.20172044","name":"Vertiport Placement for Urban Air Mobility to Reduce Time for Multimodal Travel","source":"datacite","abstract":"","url":"https://doi.org/10.5281/zenodo.20172044","authors":["Chati, Yashovardhan","Yamini, Sharma","Nikam, Kirti","Devkar, Prasad","Vasan, Arunchandar"],"tags":["Aviation","Air traffic management"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.20172044","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:39.647Z"},{"id":"doi:10.5281/zenodo.21618566","name":"ENVIRONMENTAL SUSTAINABILITY OF AZERBAIJAN UNDER GROWING ANTHROPOGENIC PRESSURE: STATISTICAL DIAGNOSTICS AND APPLIED GOVERNANCE MECHANISMS","source":"datacite","abstract":"The article examines environmental sustainability in Azerbaijan as a governance problem connecting water security, air protection, waste management, protected natural areas and environmental finance. Based on official statistical data for 2000-2024, the study identifies several structural shifts: a significant decline in emissions from stationary sources alongside the continuing dominance of road transport emissions; an increase in generated waste with a comparatively low level of utilization and neutralization; and water-balance pressure reflected in transport losses and unstable wastewater treatment indicators. The paper argues that environmental policy should not be evaluated only by total expenditures. The quality of resource allocation, measurable performance indicators, technological readiness and institutional responsiveness are equally important. The article proposes an applied environmental governance mechanism based on digital monitoring, risk-oriented financing, municipal waste reduction, water infrastructure modernization and low-emission urban mobility.","url":"https://doi.org/10.5281/zenodo.21618566","authors":["Zakiyeva S.","Zakizade S."],"tags":["environmental sustainability, Azerbaijan, anthropogenic pressure, water resources, air protection, waste management, environmental investment, green growth, ecological governance."],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.21618566","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:48.855Z"},{"id":"doi:10.5281/zenodo.21618567","name":"ENVIRONMENTAL SUSTAINABILITY OF AZERBAIJAN UNDER GROWING ANTHROPOGENIC PRESSURE: STATISTICAL DIAGNOSTICS AND APPLIED GOVERNANCE MECHANISMS","source":"datacite","abstract":"The article examines environmental sustainability in Azerbaijan as a governance problem connecting water security, air protection, waste management, protected natural areas and environmental finance. Based on official statistical data for 2000-2024, the study identifies several structural shifts: a significant decline in emissions from stationary sources alongside the continuing dominance of road transport emissions; an increase in generated waste with a comparatively low level of utilization and neutralization; and water-balance pressure reflected in transport losses and unstable wastewater treatment indicators. The paper argues that environmental policy should not be evaluated only by total expenditures. The quality of resource allocation, measurable performance indicators, technological readiness and institutional responsiveness are equally important. The article proposes an applied environmental governance mechanism based on digital monitoring, risk-oriented financing, municipal waste reduction, water infrastructure modernization and low-emission urban mobility.","url":"https://doi.org/10.5281/zenodo.21618567","authors":["Zakiyeva S.","Zakizade S."],"tags":["environmental sustainability, Azerbaijan, anthropogenic pressure, water resources, air protection, waste management, environmental investment, green growth, ecological governance."],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.21618567","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:48.855Z"},{"id":"doi:10.5281/zenodo.21716393","name":"Leovinci: A Conceptual Dual-Mode Electric Mobility Platform Integrating Road Transportation and Vertical Flight Technologies","source":"datacite","abstract":"Abstract Leovinci is a conceptual next-generation electric Vertical Take-Off and Landing (eVTOL) vehicle designed to integrate the flexibility of ground transportation with the efficiency of urban air mobility. The project introduces a unified vehicle architecture capable of operating as both a conventional road vehicle and an electrically powered aerial platform through a transition mechanism between driving and flight modes. Unlike many existing eVTOL concepts that primarily function as aerial taxis, Leovinci is envisioned as a personal mobility solution with a strong emphasis on practicality, safety, modularity, and future scalability. The proposed concept incorporates distributed electric propulsion, advanced battery technologies, intelligent flight assistance, autonomous stabilization systems, and integrated safety mechanisms intended to enhance operational reliability under both terrestrial and aerial conditions. This technical concept paper presents the project's design philosophy, vehicle architecture, propulsion concept, operational modes, preliminary performance objectives, safety considerations, and future development roadmap. Rather than introducing a fully engineered prototype, the document establishes a conceptual engineering framework that can guide subsequent research, simulation, prototyping, and experimental validation. Leovinci aims to contribute to the evolving field of Advanced Air Mobility (AAM) by proposing a practical pathway toward a dual-mode transportation system capable of reducing urban congestion while maintaining compatibility with existing road infrastructure. The concept is intended to stimulate interdisciplinary research in aerospace engineering, electric propulsion, autonomous control systems, intelligent transportation, and sustainable mobility technologies.","url":"https://doi.org/10.5281/zenodo.21716393","authors":["Karimov, Muhammad"],"tags":["Leovinci, eVTOL, Electric Vertical Take-Off and Landing, Advanced Air Mobility (AAM), Flying Car, Urban Air Mobility (UAM), Electric Propulsion, Sustainable Transportation, Autonomous Flight, Dual-Mode Vehicle."],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.21716393","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:39.647Z"},{"id":"doi:10.5281/zenodo.21716394","name":"Leovinci: A Conceptual Dual-Mode Electric Mobility Platform Integrating Road Transportation and Vertical Flight Technologies","source":"datacite","abstract":"Abstract Leovinci is a conceptual next-generation electric Vertical Take-Off and Landing (eVTOL) vehicle designed to integrate the flexibility of ground transportation with the efficiency of urban air mobility. The project introduces a unified vehicle architecture capable of operating as both a conventional road vehicle and an electrically powered aerial platform through a transition mechanism between driving and flight modes. Unlike many existing eVTOL concepts that primarily function as aerial taxis, Leovinci is envisioned as a personal mobility solution with a strong emphasis on practicality, safety, modularity, and future scalability. The proposed concept incorporates distributed electric propulsion, advanced battery technologies, intelligent flight assistance, autonomous stabilization systems, and integrated safety mechanisms intended to enhance operational reliability under both terrestrial and aerial conditions. This technical concept paper presents the project's design philosophy, vehicle architecture, propulsion concept, operational modes, preliminary performance objectives, safety considerations, and future development roadmap. Rather than introducing a fully engineered prototype, the document establishes a conceptual engineering framework that can guide subsequent research, simulation, prototyping, and experimental validation. Leovinci aims to contribute to the evolving field of Advanced Air Mobility (AAM) by proposing a practical pathway toward a dual-mode transportation system capable of reducing urban congestion while maintaining compatibility with existing road infrastructure. The concept is intended to stimulate interdisciplinary research in aerospace engineering, electric propulsion, autonomous control systems, intelligent transportation, and sustainable mobility technologies.","url":"https://doi.org/10.5281/zenodo.21716394","authors":["Karimov, Muhammad"],"tags":["Leovinci, eVTOL, Electric Vertical Take-Off and Landing, Advanced Air Mobility (AAM), Flying Car, Urban Air Mobility (UAM), Electric Propulsion, Sustainable Transportation, Autonomous Flight, Dual-Mode Vehicle."],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.21716394","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:39.647Z"},{"id":"doi:10.5281/zenodo.21400745","name":"Riyadh V2G Sovereign Digital Twin: A Physics-Integrated Framework for Municipal-Scale Vehicle-to-Grid Simulation with Cultural Calendar Modeling","source":"datacite","abstract":"The electrification of urban transport at sovereign scale introduces unprecedented stress on aging distribution-grid infrastructure, particularly in hot-climate cities where transformer thermal aging and air-conditioning-driven peak loads compound simultaneously. This paper presents the Riyadh V2G Sovereign Digital Twin, a 1:1-scale, physics-faithful simulation framework modeling the full Riyadh metropolitan grid — approximately 60,000 distribution transformers serving over one million electric vehicles across 14 municipalities — under vehicle-to-grid (V2G) dispatch scenarios. The framework integrates five physically coupled simulation layers: a Swing-Equation-based grid frequency model, an IEEE C57.91-compliant transformer thermal aging engine, a cascading failure propagation model with cold-load recovery dynamics, a three-archetype fleet mobility simulator incorporating Islamic cultural calendar patterns (Ramadan commute suppression, Saudi weekend mapping), and a locational marginal pricing engine with dynamic threshold transitions. All layers execute within a deterministic, vectorized orchestration pipeline guaranteeing bitwise reproducibility. The architecture strictly decouples the physics layer — which computes what is physically possible — from the policy layer — which decides what to do about it — enabling controlled experimentation with V2G dispatch strategies without compromising physical fidelity. This paper describes the system architecture, physics models, fleet mobility engine, infrastructure metering layer, and illustrative scenario results, demonstrating the framework's capability to answer \"what-if\" questions about city-scale V2G deployment before committing infrastructure capital.","url":"https://doi.org/10.5281/zenodo.21400745","authors":["Mohamed Motasim Elhussein, Alwedaa"],"tags":["Vehicle-to-Grid (V2G)","Digital Twin","Distribution Grid Simulation","IEEE C57.91","Cascading Failure","Locational Marginal Pricing","Cultural Calendar","Saudi Arabia Vision 2030"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.21400745","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:39.647Z"},{"id":"doi:10.5281/zenodo.21401703","name":"Riyadh V2G Sovereign Digital Twin: A Physics-Integrated Framework for Municipal-Scale Vehicle-to-Grid Simulation with Cultural Calendar Modeling","source":"datacite","abstract":"The electrification of urban transport at sovereign scale introduces unprecedented stress on aging distribution-grid infrastructure, particularly in hot-climate cities where transformer thermal aging and air-conditioning-driven peak loads compound simultaneously. This paper presents the Riyadh V2G Sovereign Digital Twin, a 1:1-scale, physics-faithful simulation framework modeling the full Riyadh metropolitan grid — approximately 60,000 distribution transformers serving over one million electric vehicles across 14 municipalities — under vehicle-to-grid (V2G) dispatch scenarios. The framework integrates five physically coupled simulation layers: a Swing-Equation-based grid frequency model, an IEEE C57.91-compliant transformer thermal aging engine, a cascading failure propagation model with cold-load recovery dynamics, a three-archetype fleet mobility simulator incorporating Islamic cultural calendar patterns (Ramadan commute suppression, Saudi weekend mapping), and a locational marginal pricing engine with dynamic threshold transitions. All layers execute within a deterministic, vectorized orchestration pipeline guaranteeing bitwise reproducibility. The architecture strictly decouples the physics layer — which computes what is physically possible — from the policy layer — which decides what to do about it — enabling controlled experimentation with V2G dispatch strategies without compromising physical fidelity. This paper describes the system architecture, physics models, fleet mobility engine, infrastructure metering layer, and illustrative scenario results, demonstrating the framework's capability to answer \"what-if\" questions about city-scale V2G deployment before committing infrastructure capital.","url":"https://doi.org/10.5281/zenodo.21401703","authors":["Mohamed Motasim Elhussein, Alwedaa"],"tags":["Vehicle-to-Grid (V2G)","Digital Twin","Distribution Grid Simulation","IEEE C57.91","Cascading Failure","Locational Marginal Pricing","Cultural Calendar","Saudi Arabia Vision 2030"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.21401703","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:39.647Z"},{"id":"doi:10.5281/zenodo.7541340","name":"MODELO ESPAÇO-TEMPORAL DE INVENTÁRIO DE EMISSÕES VEICULARES: ESTUDO DE CASO EM CURITIBA-PR","source":"datacite","abstract":"Vehicle emissions inventories are important tools to understand air quality impacts on the urban environment. This work proposes a platform for vehicle emissions estimation, based on the 4 stages transportation model and Origin/Destination (O/D) survey data, to evaluate scenarios of public policies on urban mobility. As a case study, emissions from passenger cars were estimated in Curitiba-PR, using data from O/D survey conducted in the Municipality’s Metropolitan Region. To compare the emissions from this study’s transportation model, the study estimated the emissions from Curitiba’s City Hall model (generated from VISUM model). The estimation adopts a bottom-up approach, aggregating data at the vehicle level (age distribution of fleet, category of vehicles, types of fuel), trips patterns from Google Directions API (Application Programming Interface) (average speeds, preferential routes) and emission processes (hot exhaust emissions). The pollutants estimated were carbon monoxide (CO), carbon dioxide (CO2), methane (CH4), nitrogen oxides (NOx) and non-methane hydrocarbons (NMHC). This work included applications of the proposed model for different scenarios of urban mobility: changes on emission factors, which considers the effect of higher degradation on old fleet emissions; limitation on the maximum age of fleet; as well as an increment of vehicle flow, powered by fossil fuels and electric. Results showed that the macroscopic patterns of traffic flow were similar between this study’s and Curitiba’s City Hall transport model, despite differences in the number of vehicles circulating on main roads. The scenario analysis suggested that a policy restricting the maximum vehicle age up to 20 or 30 years could reduce emission levels by 8—40% for the studied pollutants. A change on emission factors resulted in a variation of 24%, 44.5%, 32% for CO, NMHC and NOx emissions, respectively; showing the effects of vehicle and engine’s degradation on global emissions. The scenarios of fleet increase indicated an increase in emissions, either from the insertion of internal combustion or electric vehicles — in the latter case, there was an increase in emissions due to the impact of the decrease in the average speed of internal combustion vehicles. The possibility of using Origin/Destination data to estimate vehicle emissions was shown, as well as the importance of evaluating emissions on spatial and temporal resolution.","url":"https://doi.org/10.5281/zenodo.7541340","authors":["João"],"tags":["Vehicular Emissions","Four-stages Transportation Model","Origin-Destination Survey","Atmospheric Pollution"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2020","doi":"10.5281/zenodo.7541340","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:39.647Z"},{"id":"doi:10.5281/zenodo.7541341","name":"MODELO ESPAÇO-TEMPORAL DE INVENTÁRIO DE EMISSÕES VEICULARES: ESTUDO DE CASO EM CURITIBA-PR","source":"datacite","abstract":"Vehicle emissions inventories are important tools to understand air quality impacts on the urban environment. This work proposes a platform for vehicle emissions estimation, based on the 4 stages transportation model and Origin/Destination (O/D) survey data, to evaluate scenarios of public policies on urban mobility. As a case study, emissions from passenger cars were estimated in Curitiba-PR, using data from O/D survey conducted in the Municipality’s Metropolitan Region. To compare the emissions from this study’s transportation model, the study estimated the emissions from Curitiba’s City Hall model (generated from VISUM model). The estimation adopts a bottom-up approach, aggregating data at the vehicle level (age distribution of fleet, category of vehicles, types of fuel), trips patterns from Google Directions API (Application Programming Interface) (average speeds, preferential routes) and emission processes (hot exhaust emissions). The pollutants estimated were carbon monoxide (CO), carbon dioxide (CO2), methane (CH4), nitrogen oxides (NOx) and non-methane hydrocarbons (NMHC). This work included applications of the proposed model for different scenarios of urban mobility: changes on emission factors, which considers the effect of higher degradation on old fleet emissions; limitation on the maximum age of fleet; as well as an increment of vehicle flow, powered by fossil fuels and electric. Results showed that the macroscopic patterns of traffic flow were similar between this study’s and Curitiba’s City Hall transport model, despite differences in the number of vehicles circulating on main roads. The scenario analysis suggested that a policy restricting the maximum vehicle age up to 20 or 30 years could reduce emission levels by 8—40% for the studied pollutants. A change on emission factors resulted in a variation of 24%, 44.5%, 32% for CO, NMHC and NOx emissions, respectively; showing the effects of vehicle and engine’s degradation on global emissions. The scenarios of fleet increase indicated an increase in emissions, either from the insertion of internal combustion or electric vehicles — in the latter case, there was an increase in emissions due to the impact of the decrease in the average speed of internal combustion vehicles. The possibility of using Origin/Destination data to estimate vehicle emissions was shown, as well as the importance of evaluating emissions on spatial and temporal resolution.","url":"https://doi.org/10.5281/zenodo.7541341","authors":["João"],"tags":["Vehicular Emissions","Four-stages Transportation Model","Origin-Destination Survey","Atmospheric Pollution"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2020","doi":"10.5281/zenodo.7541341","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:39.647Z"},{"id":"doi:10.5281/zenodo.20659662","name":"Urban Development Influenced by Metro Rail Infrastructure","source":"datacite","abstract":"Rapid urbanization and increasing population density have created severe transportation challenges in major cities across the world. Traffic congestion, air pollution, travel delays, and inadequate public transportation systems have significantly affected urban sustainability and economic productivity. Metro rail projects have emerged as one of the most effective mass rapid transit solutions for improving urban mobility and supporting planned urban development. This article presents a comprehensive review of the impact of metro rail projects on urban development, transportation efficiency, economic growth, environmental sustainability, and social transformation. The study examines the influence of metro rail systems on land use patterns, real estate development, employment generation, traffic reduction, environmental quality, and smart city initiatives. Various challenges related to project implementation, financial investment, land acquisition, and operational management are also discussed. The article further highlights the role of modern technologies, transit-oriented development, and integrated urban planning in maximizing the benefits of metro rail systems. The findings indicate that metro rail projects significantly contribute to sustainable urban development by improving transportation infrastructure, reducing congestion, enhancing economic activities, and promoting environmentally responsible urban growth.","url":"https://doi.org/10.5281/zenodo.20659662","authors":["P Abhilash"],"tags":["metro rail, urban development, mass rapid transit, transportation infrastructure, transit-oriented development, smart cities, urban mobility, sustainable transportation, traffic congestion, public transport"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.20659662","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:56.014Z"},{"id":"doi:10.5281/zenodo.20659663","name":"Urban Development Influenced by Metro Rail Infrastructure","source":"datacite","abstract":"Rapid urbanization and increasing population density have created severe transportation challenges in major cities across the world. Traffic congestion, air pollution, travel delays, and inadequate public transportation systems have significantly affected urban sustainability and economic productivity. Metro rail projects have emerged as one of the most effective mass rapid transit solutions for improving urban mobility and supporting planned urban development. This article presents a comprehensive review of the impact of metro rail projects on urban development, transportation efficiency, economic growth, environmental sustainability, and social transformation. The study examines the influence of metro rail systems on land use patterns, real estate development, employment generation, traffic reduction, environmental quality, and smart city initiatives. Various challenges related to project implementation, financial investment, land acquisition, and operational management are also discussed. The article further highlights the role of modern technologies, transit-oriented development, and integrated urban planning in maximizing the benefits of metro rail systems. The findings indicate that metro rail projects significantly contribute to sustainable urban development by improving transportation infrastructure, reducing congestion, enhancing economic activities, and promoting environmentally responsible urban growth.","url":"https://doi.org/10.5281/zenodo.20659663","authors":["P Abhilash"],"tags":["metro rail, urban development, mass rapid transit, transportation infrastructure, transit-oriented development, smart cities, urban mobility, sustainable transportation, traffic congestion, public transport"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.20659663","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:56.014Z"},{"id":"doi:10.4232/1.14687","name":"Mobility and Transport, Expectations and concerns of connected and automated driving, Attitudes of Europeans towards Air Quality, and Undeclared work in the European Union","source":"datacite","abstract":"Seit den frühen 1970er Jahren beobachten die Standard &amp; Spezial Eurobarometer der Europäischen Kommission regelmäßig die öffentliche Meinung in den Mitgliedsländern der Europäischen Union. Primärforscher sind die Generaldirektion Kommunikation und bei Spezialthemen weitere Direktionen sowie das Europäische Parlament. Im Laufe der Zeit wurden Kandidaten- und Beitrittsländer in die Standard Eurobarometer-Reihe aufgenommen. Ausgewählte Fragen oder Module können in einigen Samples nicht erhoben worden sein. Bitte ziehen Sie für weitere Informationen bezüglich Länderfilter oder anderer Filterführungen den Basisfragebogen heran. In dieser Studie sind folgende Module vorhanden: 1. Mobilität und Verkehr, 2. Erwartungen und Besorgnis im Hinblick auf vernetztes und automatisiertes Fahren, 3. Einstellungen von Europäern zur Luftqualität, 4. Schwarzarbeit in der Europäischen Union.","url":"https://doi.org/10.4232/1.14687","authors":["European Commission, Brussels"],"tags":["KAT20 Rechtssystem, Rechtsprechung, GesetzKAT37 Arbeit und BetriebKAT58 Technik, EnergieKAT65 Umwelt, Natur","UMWELT UND NATUR","Umweltschutz und Naturschutz","ARBEIT UND BESCHÄFTIGUNG","Kriminalität und Gesetzesvollzug","TRANSPORT UND REISEN","NATURAL ENVIRONMENT","Environment and conservation"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.4232/1.14687","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:39.647Z"},{"id":"doi:10.5281/zenodo.22097402","name":"GEMMA drone delivery trajectories for Madrid","source":"datacite","abstract":"This dataset gives support to the following Drones paper: Manuscript ID: drones-4382577 Type of manuscript: Article Title: Challenge for urban airspace planners: how to consider horizontal and vertical dimensions for scaled delivery operations Authors: Marc Melgosa *, Jovana Kuljanin, Jairo Lopez, David De la Torre, Albert Sánchez-Segura, Cristina Barrado Received: 1 Jun 2026 The Dataset has in TABLE.csv the index of the different runs (a total of 120* Routes files). There are 10 runs with 10 different random seeds to generate trajectories in 3 different airspace organizations: FR - Free route in horizontal and vertical dimensions. This is the only one that follows the terrain. LFR - Layered free rute: has freedom in the horizontal, but limited to layers in the vertical CA - Constrained airspace: trajectories follow a regular grid in horizontal and are limited to layers in vertical Additionaly, each generation assumes 4 different vertical availabilities: HIGH: vertical availability from 45 m to 90 m / up to 4 layers separated by 15 m. MEDIUM: from 45 m to 75 m / 3 layers LOW: from 45 m to 60 m / 2 layers BOTTOM: only the 45 m altitude is available * NOTE: since the maximum number of files is 100, the last 22 are ZIP together into a single file named Routes_06-08-2026_1730+.zip","url":"https://doi.org/10.5281/zenodo.22097402","authors":["Barrado, Cristina"],"tags":["drone","trajectory","delivery","U-space","strategic conflict detection and resolution","urban air mobility"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.22097402","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:39.647Z"},{"id":"doi:10.5281/zenodo.22097403","name":"GEMMA drone delivery trajectories for Madrid","source":"datacite","abstract":"This dataset gives support to the following Drones paper: Manuscript ID: drones-4382577 Type of manuscript: Article Title: Challenge for urban airspace planners: how to consider horizontal and vertical dimensions for scaled delivery operations Authors: Marc Melgosa *, Jovana Kuljanin, Jairo Lopez, David De la Torre, Albert Sánchez-Segura, Cristina Barrado Received: 1 Jun 2026 The Dataset has in TABLE.csv the index of the different runs (a total of 120* Routes files). There are 10 runs with 10 different random seeds to generate trajectories in 3 different airspace organizations: FR - Free route in horizontal and vertical dimensions. This is the only one that follows the terrain. LFR - Layered free rute: has freedom in the horizontal, but limited to layers in the vertical CA - Constrained airspace: trajectories follow a regular grid in horizontal and are limited to layers in vertical Additionaly, each generation assumes 4 different vertical availabilities: HIGH: vertical availability from 45 m to 90 m / up to 4 layers separated by 15 m. MEDIUM: from 45 m to 75 m / 3 layers LOW: from 45 m to 60 m / 2 layers BOTTOM: only the 45 m altitude is available * NOTE: since the maximum number of files is 100, the last 22 are ZIP together into a single file named Routes_06-08-2026_1730+.zip","url":"https://doi.org/10.5281/zenodo.22097403","authors":["Barrado, Cristina"],"tags":["drone","trajectory","delivery","U-space","strategic conflict detection and resolution","urban air mobility"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.22097403","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:39.647Z"},{"id":"doi:10.5281/zenodo.21860625","name":"De la connectivité aérienne à la portance territoriale : fondements de la PASET et construction de l'IPAT","source":"datacite","abstract":"Les travaux consacrés au transport aérien montrent que la qualité des liaisons influence l’accès aux marchés, la mobilité des compétences, l’attractivité des villes et l’intégration des territoires. Ils rendent toutefois imparfaitement compte du passage entre l’existence d’une connexion aérienne et la transformation fonctionnelle du territoire desservi. Cet article formule la Théorie de la Portance Aérienne Socio-économique et Territoriale (PASET) afin d’analyser ce mécanisme de conversion. La PASET définit la portance comme la capacité d’un système d’aviation civile à transformer une connectivité aérienne en accessibilité utile, en activation économique, en mobilité sociale, en continuité administrative, en capacité d’intervention humanitaire et en intégration territoriale. Elle distingue six étapes ci-après : infrastructure, connectivité, accessibilité, activation, portance et transformation. Elle organise l’analyse autour des forces d’activation, des résistances opérationnelles et des contraintes structurelles. Elle précise également les dimensions, les conditions de production, les modalités de diffusion et les niveaux de portance. L’article formalise ensuite l’Indice de Portance Aérienne Territoriale (IPAT), composé du potentiel de connexion urbaine, des effets socio-économiques observés, de la connectivité aérienne, de la régularité et de la continuité du service, des tensions structurelles et des obstacles d’accessibilité. La méthode précise la sélection des indicateurs, la normalisation, la pondération, l’agrégation, la qualité des données, les estimations documentaires et les tests de robustesse. Deux formes sont distinguées : l’IPAT complet, destiné au diagnostic territorial, et l’IPAT exogène, construit uniquement à partir de composantes mesurées indépendamment du résultat expliqué. Dans sa formulation de base, l’IPAT exogène exclut SOC lorsque cette composante recouvre la variable dépendante. Cette restriction évite la circularité, sans dispenser des tests d’endogénéité liés à la causalité inverse ou aux variables omises. La PASET fournit ainsi un cadre économétrique ouvert, adapté aux hypothèses étudiées, tandis que le Baromètre PASET constitue une architecture perceptuelle ouverte dont les dimensions sont définies par chaque recherche selon sa problématique, son terrain et son instrument de collecte. Aucune liste fixe de dimensions n’est imposée. L’article expose enfin un protocole complet d’application, depuis la définition du territoire fonctionnel jusqu’à la publication reproductible des résultats.","url":"https://doi.org/10.5281/zenodo.21860625","authors":["Liobo Yalala, Cédric"],"tags":["PASET ; IPAT ; portance territoriale ; connectivité aérienne ; transport aérien ; développement territorial ; indice composite ; construction d'indice ; accessibilité territoriale ; économétrie ; aviation civile.","PASET ; IPAT ; territorial lift ; air connectivity; air transport ; territorial development; composite index ; index construction ; econometric ; territorial accessibility; civil aviation."],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.21860625","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:39.647Z"},{"id":"doi:10.5281/zenodo.21860626","name":"De la connectivité aérienne à la portance territoriale : fondements de la PASET et construction de l'IPAT","source":"datacite","abstract":"Les travaux consacrés au transport aérien montrent que la qualité des liaisons influence l’accès aux marchés, la mobilité des compétences, l’attractivité des villes et l’intégration des territoires. Ils rendent toutefois imparfaitement compte du passage entre l’existence d’une connexion aérienne et la transformation fonctionnelle du territoire desservi. Cet article formule la Théorie de la Portance Aérienne Socio-économique et Territoriale (PASET) afin d’analyser ce mécanisme de conversion. La PASET définit la portance comme la capacité d’un système d’aviation civile à transformer une connectivité aérienne en accessibilité utile, en activation économique, en mobilité sociale, en continuité administrative, en capacité d’intervention humanitaire et en intégration territoriale. Elle distingue six étapes ci-après : infrastructure, connectivité, accessibilité, activation, portance et transformation. Elle organise l’analyse autour des forces d’activation, des résistances opérationnelles et des contraintes structurelles. Elle précise également les dimensions, les conditions de production, les modalités de diffusion et les niveaux de portance. L’article formalise ensuite l’Indice de Portance Aérienne Territoriale (IPAT), composé du potentiel de connexion urbaine, des effets socio-économiques observés, de la connectivité aérienne, de la régularité et de la continuité du service, des tensions structurelles et des obstacles d’accessibilité. La méthode précise la sélection des indicateurs, la normalisation, la pondération, l’agrégation, la qualité des données, les estimations documentaires et les tests de robustesse. Deux formes sont distinguées : l’IPAT complet, destiné au diagnostic territorial, et l’IPAT exogène, construit uniquement à partir de composantes mesurées indépendamment du résultat expliqué. Dans sa formulation de base, l’IPAT exogène exclut SOC lorsque cette composante recouvre la variable dépendante. Cette restriction évite la circularité, sans dispenser des tests d’endogénéité liés à la causalité inverse ou aux variables omises. La PASET fournit ainsi un cadre économétrique ouvert, adapté aux hypothèses étudiées, tandis que le Baromètre PASET constitue une architecture perceptuelle ouverte dont les dimensions sont définies par chaque recherche selon sa problématique, son terrain et son instrument de collecte. Aucune liste fixe de dimensions n’est imposée. L’article expose enfin un protocole complet d’application, depuis la définition du territoire fonctionnel jusqu’à la publication reproductible des résultats.","url":"https://doi.org/10.5281/zenodo.21860626","authors":["Liobo Yalala, Cédric"],"tags":["PASET ; IPAT ; portance territoriale ; connectivité aérienne ; transport aérien ; développement territorial ; indice composite ; construction d'indice ; accessibilité territoriale ; économétrie ; aviation civile.","PASET ; IPAT ; territorial lift ; air connectivity; air transport ; territorial development; composite index ; index construction ; econometric ; territorial accessibility; civil aviation."],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.21860626","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:39.647Z"},{"id":"doi:10.5281/zenodo.19529847","name":"A Review on \"Parking Issues and Challenges in CBD AREA\"","source":"datacite","abstract":"Abstract-Due to the escalation in economic and population growth, the Indian Metros and major cities are undergoing a mobility crisis. It is observed that today, urban areas are facing a tremendous pressure about parking spaces. This has lead to rise of transportation issues such as traffic disruption, congestion, inconsistent demand and supply, accidents and a number of environmental problems. The reason can be considered as poor parking management and policies. Due to lack of enforcement, India faces issues like encroachment over footpaths, illegal parking, double parking as well as criminal activities. In Central Business Districts, On street parking is a becoming a major issue due to high demand and lack to parking spaces thus affecting the efficiency of the road and influencing the growth of the business district. In a city’s Central Business District (CBD), much of the economic activity is concentrated in a small area. This leads to the attraction of a large number of people and hence vehicles. In India, the roads are narrow and the population density is high. Also as India being a developing country the concept of parking plazas etc. are yet to be applicable everywhere. Therefore On street parking is a major parking practice on Indian roads. All major cities and their CBD zones face an issue regarding the Ill effects on On street parking. These not only decrease the width of already narrow roads but leads to other problems like congestions, accidents, delays etc. These also cause a bad impact to the environment both to the air and noise index. On street parking. One major reason for On street parking in India is that it is free, even in CBD areas, hence this promotes the user to use his private vehicles rather than public transport. Drivers in CBD areas in order to reduce the walking distance to their destination, prefer On street parking as it is cheap and lack of enforcement, create and environment of congestion, time delays, high emission level and reduction in efficiency of the region. Most cases it has also been seen that there has been availability of parking space, but lack of education and enforcement has lead to On street parking issues. The review paper tries to observe the root cause of the parking problems and come up with appropriate solutions.","url":"https://doi.org/10.5281/zenodo.19529847","authors":["Tejashkumar Uttambhai Patel","Prof. Jayshiv Thakkar","Prof. Tejash Pandya"],"tags":["On Street Parking, Off Street Parking, Parking Survey, Commercial Business District (CBD)"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.19529847","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:56.014Z"},{"id":"doi:10.5281/zenodo.19529848","name":"A Review on \"Parking Issues and Challenges in CBD AREA\"","source":"datacite","abstract":"Abstract-Due to the escalation in economic and population growth, the Indian Metros and major cities are undergoing a mobility crisis. It is observed that today, urban areas are facing a tremendous pressure about parking spaces. This has lead to rise of transportation issues such as traffic disruption, congestion, inconsistent demand and supply, accidents and a number of environmental problems. The reason can be considered as poor parking management and policies. Due to lack of enforcement, India faces issues like encroachment over footpaths, illegal parking, double parking as well as criminal activities. In Central Business Districts, On street parking is a becoming a major issue due to high demand and lack to parking spaces thus affecting the efficiency of the road and influencing the growth of the business district. In a city’s Central Business District (CBD), much of the economic activity is concentrated in a small area. This leads to the attraction of a large number of people and hence vehicles. In India, the roads are narrow and the population density is high. Also as India being a developing country the concept of parking plazas etc. are yet to be applicable everywhere. Therefore On street parking is a major parking practice on Indian roads. All major cities and their CBD zones face an issue regarding the Ill effects on On street parking. These not only decrease the width of already narrow roads but leads to other problems like congestions, accidents, delays etc. These also cause a bad impact to the environment both to the air and noise index. On street parking. One major reason for On street parking in India is that it is free, even in CBD areas, hence this promotes the user to use his private vehicles rather than public transport. Drivers in CBD areas in order to reduce the walking distance to their destination, prefer On street parking as it is cheap and lack of enforcement, create and environment of congestion, time delays, high emission level and reduction in efficiency of the region. Most cases it has also been seen that there has been availability of parking space, but lack of education and enforcement has lead to On street parking issues. The review paper tries to observe the root cause of the parking problems and come up with appropriate solutions.","url":"https://doi.org/10.5281/zenodo.19529848","authors":["Tejashkumar Uttambhai Patel","Prof. Jayshiv Thakkar","Prof. Tejash Pandya"],"tags":["On Street Parking, Off Street Parking, Parking Survey, Commercial Business District (CBD)"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.19529848","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:56.014Z"},{"id":"doi:10.6084/m9.figshare.33325032.v1","name":"<b>Blended finance and institutional collaboration in climate finance architecture: evidence from the G77 and China</b>","source":"datacite","abstract":"The transition to a low-carbon global economy is constrained by a persistent climate finance gap across the G77 and China. This study examines how Multilateral Climate Funds shape climate finance architecture through four determinants: institutional collaboration, blended finance deployment, policy and regulatory alignment, and transparency. Combining survey data from 103 sustainable finance specialists with eight interviews, the study finds that institutional collaboration is the only determinant with a statistically significant, independent association with architecture effectiveness; blended finance is perceived as the primary catalyst for mobilising private capital, though this effect does not hold once other constructs are controlled for. Policy and regulatory alignment remains necessary for capital absorption, and transparency sustains investor trust and limits greenwashing risk. The study introduces an Institutional Reinforcement Cycle, a recursive model of how these determinants interact, and offers policy recommendations for restructuring climate finance governance to mobilise private investment at scale.","url":"https://doi.org/10.6084/m9.figshare.33325032.v1","authors":["Ravindu Nawanjana Gamlath Mohotti Arachchige Don"],"tags":["Economic history","Agricultural economics","Applied economics not elsewhere classified","Behavioural economics","Economics of education","Environment and resource economics","Experimental economics","Financial economics"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.6084/m9.figshare.33325032.v1","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:39.647Z"},{"id":"doi:10.6084/m9.figshare.33325032","name":"<b>Blended finance and institutional collaboration in climate finance architecture: evidence from the G77 and China</b>","source":"datacite","abstract":"The transition to a low-carbon global economy is constrained by a persistent climate finance gap across the G77 and China. This study examines how Multilateral Climate Funds shape climate finance architecture through four determinants: institutional collaboration, blended finance deployment, policy and regulatory alignment, and transparency. Combining survey data from 103 sustainable finance specialists with eight interviews, the study finds that institutional collaboration is the only determinant with a statistically significant, independent association with architecture effectiveness; blended finance is perceived as the primary catalyst for mobilising private capital, though this effect does not hold once other constructs are controlled for. Policy and regulatory alignment remains necessary for capital absorption, and transparency sustains investor trust and limits greenwashing risk. The study introduces an Institutional Reinforcement Cycle, a recursive model of how these determinants interact, and offers policy recommendations for restructuring climate finance governance to mobilise private investment at scale.","url":"https://doi.org/10.6084/m9.figshare.33325032","authors":["Ravindu Nawanjana Gamlath Mohotti Arachchige Don"],"tags":["Economic history","Agricultural economics","Applied economics not elsewhere classified","Behavioural economics","Economics of education","Environment and resource economics","Experimental economics","Financial economics"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.6084/m9.figshare.33325032","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:39.647Z"},{"id":"doi:10.5281/zenodo.20642138","name":"Urban Transportation Planning and Management","source":"datacite","abstract":"Rapid urbanization, population growth, and increasing vehicle ownership have significantly intensified transportation challenges in cities worldwide. Urban transportation systems are essential for economic development, social connectivity, and efficient movement of people and goods within urban areas. However, growing traffic congestion, air pollution, road accidents, inadequate public transport, and infrastructure limitations have created major challenges for sustainable urban mobility. Urban transportation planning and management involve the systematic development, operation, and optimization of transportation systems to improve accessibility, mobility, safety, and environmental sustainability. This article presents a comprehensive review of urban transportation planning and management, including transportation network design, traffic management, public transportation systems, intelligent transportation technologies, sustainable mobility strategies, and policy frameworks. The study examines the role of transportation planning in reducing congestion, improving travel efficiency, enhancing road safety, and supporting sustainable urban development. The findings indicate that effective transportation planning and management significantly improve urban mobility, reduce environmental impacts, and enhance the overall quality of urban life. The article also discusses implementation challenges, technological advancements, and future trends in smart and sustainable urban transportation systems.","url":"https://doi.org/10.5281/zenodo.20642138","authors":["P Abhilash"],"tags":["urban transportation, traffic management, sustainable mobility, public transportation, intelligent transportation systems, urban planning, traffic congestion, smart transportation"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.20642138","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:56.014Z"},{"id":"doi:10.5281/zenodo.20642139","name":"Urban Transportation Planning and Management","source":"datacite","abstract":"Rapid urbanization, population growth, and increasing vehicle ownership have significantly intensified transportation challenges in cities worldwide. Urban transportation systems are essential for economic development, social connectivity, and efficient movement of people and goods within urban areas. However, growing traffic congestion, air pollution, road accidents, inadequate public transport, and infrastructure limitations have created major challenges for sustainable urban mobility. Urban transportation planning and management involve the systematic development, operation, and optimization of transportation systems to improve accessibility, mobility, safety, and environmental sustainability. This article presents a comprehensive review of urban transportation planning and management, including transportation network design, traffic management, public transportation systems, intelligent transportation technologies, sustainable mobility strategies, and policy frameworks. The study examines the role of transportation planning in reducing congestion, improving travel efficiency, enhancing road safety, and supporting sustainable urban development. The findings indicate that effective transportation planning and management significantly improve urban mobility, reduce environmental impacts, and enhance the overall quality of urban life. The article also discusses implementation challenges, technological advancements, and future trends in smart and sustainable urban transportation systems.","url":"https://doi.org/10.5281/zenodo.20642139","authors":["P Abhilash"],"tags":["urban transportation, traffic management, sustainable mobility, public transportation, intelligent transportation systems, urban planning, traffic congestion, smart transportation"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.20642139","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:56.014Z"},{"id":"doi:10.5281/zenodo.22036525","name":"Science and Medicine Reinterpretation Under Host Absolute Authorship Framework (HAA) lenses by Sam Coole","source":"datacite","abstract":"Science and Medicine Reinterpretation Under Host Absolute Authorship Framework ( HAA) lenses by Sam Coole All Rights Reserved ®️™️©️ Reassigning the Lymphatic System Authority. Redefining Infection Mechanism interpretation. Study Cases applied Host Absolute Authorship. Removing Centenary Scientific and medical Enigmas. Focused in Cancer / HIV-1/ COVID-19 / SARS-CoV-2 / Autoimmune Diseases / Infectious Disorders/ Zika/ Dengue/ Diabetes/ Tuberculosis/ Cellular Dummies Replication/ Cellular Self-engraving/ Cellular self-destruction/ Cellular self-intoxication/ Symbiotic Intracellular Gestational/ Viral Reservoirs / Viral Load/ Viral Escape/ Pathogenic Mutation/ Cellular Receptors/ Cellular Coupling/ Mitosis/ Cellular Genomic Update / Cellular Pricacy/ Impossible Pathogenic Activity vs Pathogenic Toxicity/ Cellular Archival/ Lymphatic System Global Goals/ Pathogenic Taxing/ Metastasis/ Misplaced Human Organs/ Cellular Strategic Toxic Content Redirecting to Low Cost Body areas (Skin Metastasis ) Impossible Viral Latency vs Definitive Cellular Archival. The Host Absolute Authorship (HAA) Framework is more than a theory of immunity; it is a universal diagnostic key that unlocks biological \"dark matter\"—the persistent enigmas where orthodox science has stalled due to its obsession with pathogen autonomy. By shifting the locus of control from the \"invader\" to the Host Genome, I have identified several major scientific blind spots that the HAA paradigm does not merely explain, but effectively resolves. 1. The \"Sterile\" Inflammatory Mystery (Idiopathic Systemic Inflammatory Syndromes) The Enigma: Orthodox science struggles to explain multisystem inflammatory syndromes (e.g., MIS-C, adult-onset Still's disease) where no active pathogen is detected, yet the body behaves as if it is under siege. The HAA Resolution: These are not \"mysterious\" inflammations. They are Archival Overflows. The lymphatic administrative capacity is overwhelmed by the mobilization of past, \"archived\" pathogenic fragments that the host can no longer sequester due to an accelerated loss of cellular privacy. HAA suggests that instead of using broad-spectrum immunosuppressants, we should implement Archival Calibration—using non-toxic chaperone molecules to stabilize the lipid-membranes of dormant memory T-cells, preventing the accidental exposure of archived codes. 2. The \"Prion\" Logic Paradox The Enigma: Prions are considered \"protein-only\" infectious agents, which defies the central dogma of sequence-based replication, leading to decades of stalled research regarding how they \"evade\" traditional immune clearance. The HAA Resolution: Under HAA, prions are Structural Archive Fragments that have bypassed the traditional lysosomal degradation pathway because they lack a nucleic acid sequence for host retrotransposition. The host \"fails\" to clear them because it lacks an \"archive slot\" for purely proteomic misfolds. HAA allows us to engineer Molecular Bridge-Proteins (synthetic HLA-like adaptors) that tag these protein aggregates, forcing the host to recognize them as archivable debris, effectively \"closing\" the archive slot and stopping the neurodegenerative cascade. 3. The \"Pseudo-Resistance\" in CAR-T/TCR-T Therapies The Enigma: Clinical data often shows that CAR-T cells are fully functional in vitro but fail in vivo despite no evidence of \"target antigen loss\" on the tumor. The HAA Resolution: This is not resistance; it is Host-Imposed Archiving Pausing. The tumor microenvironment has successfully signaled to the lymphatic system that \"archival capacity is full.\" The T-cells are not being \"evaded\"; they are being told to wait. HAA resolves this by abandoning \"super-activation\" and instead deploying Temporal Archive-Release Factors (TARFs). These molecules briefly signal to the local tissue-resident macrophages that archival space has been cleared, allowing the CAR-T cells to proceed with sequence extraction without triggering the \"tumor-evasion\" panic mode. 4. The \"Chr","url":"https://doi.org/10.5281/zenodo.22036525","authors":["Sam, Coole"],"tags":["Autoimmune Diseases","Autoimmune disorders","Cancer","Impossible Pathogenic Activity vs Pathogenic Toxicity","Impossible Viral Latency vs Definitive Cellular Archival","HIV-1","COVID-19","SARS-CoV-2"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.22036525","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:39.647Z"},{"id":"doi:10.5281/zenodo.17631240","name":"Benchmarking and strategic analysis of metro system; Enhancing sustainability and efficiency","source":"datacite","abstract":"Highlights (for review) • Introduces a benchmarking framework to evaluate metro systems using energy, air quality, and sustainability indicators. • Combines municipal data, international reports, and research literature to build a comprehensive performance dataset. • Applies Monte Carlo simulations to assess uncertainties in environmental and operational metrics. • Identifies key factors affecting metro system sustainability, including energy consumption patterns and air quality impacts. • Provides practical insights useful for transport planners and policy makers aiming to improve sustainable urban mobility","url":"https://doi.org/10.5281/zenodo.17631240","authors":["Subedi, Pradip"],"tags":["metro systems","Transport Sustainability","Air quality","Indoor air quality","p.m.2.5"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.17631240","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:56.014Z"},{"id":"doi:10.5281/zenodo.17631241","name":"Benchmarking and strategic analysis of metro system; Enhancing sustainability and efficiency","source":"datacite","abstract":"Highlights (for review) • Introduces a benchmarking framework to evaluate metro systems using energy, air quality, and sustainability indicators. • Combines municipal data, international reports, and research literature to build a comprehensive performance dataset. • Applies Monte Carlo simulations to assess uncertainties in environmental and operational metrics. • Identifies key factors affecting metro system sustainability, including energy consumption patterns and air quality impacts. • Provides practical insights useful for transport planners and policy makers aiming to improve sustainable urban mobility","url":"https://doi.org/10.5281/zenodo.17631241","authors":["Subedi, Pradip"],"tags":["metro systems","Transport Sustainability","Air quality","Indoor air quality","p.m.2.5"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.17631241","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:56.014Z"},{"id":"doi:10.5281/zenodo.20325892","name":"Entornos escolares saludables. Recomendaciones para equipos directivos","source":"datacite","abstract":"This document provides concise, structured recommendations for school leadership teams to improve environmental quality in educational settings. It addresses five key areas: the urban context—promoting accessibility, sustainable mobility, and attention to external environmental factors and school access design; outdoor spaces—encouraging diversified use of playgrounds, renaturalization, and improved thermal comfort; building and classroom conditions—enhancing indoor environmental quality in terms of lighting, thermal comfort, acoustics, and air quality while reducing pollutants; operational practices—adapting ventilation, maintenance, cleaning, and material use, as well as incorporating indoor plants; and final considerations—guidance for long-term renovations and awareness-raising initiatives to foster sustainability within the school community.","url":"https://doi.org/10.5281/zenodo.20325892","authors":["Barbero-Barrera, María del Mar","Neila González, Francisco Javier","Aparicio Rodrigo, María","Pérez-Moneo Agapito, Begoña","Waidler, Melanie","Sabariego Moreno, Kevin","Mendoza García, Marian","Morales Ibor, Marina","García Cortés, Helena","Sanz Cameno, María Paloma"],"tags":["School","Environmental Quality","Environmental health","Children","Health","Architecture"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.20325892","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:39.647Z"},{"id":"doi:10.5281/zenodo.20325893","name":"Entornos escolares saludables. Recomendaciones para equipos directivos","source":"datacite","abstract":"This document provides concise, structured recommendations for school leadership teams to improve environmental quality in educational settings. It addresses five key areas: the urban context—promoting accessibility, sustainable mobility, and attention to external environmental factors and school access design; outdoor spaces—encouraging diversified use of playgrounds, renaturalization, and improved thermal comfort; building and classroom conditions—enhancing indoor environmental quality in terms of lighting, thermal comfort, acoustics, and air quality while reducing pollutants; operational practices—adapting ventilation, maintenance, cleaning, and material use, as well as incorporating indoor plants; and final considerations—guidance for long-term renovations and awareness-raising initiatives to foster sustainability within the school community.","url":"https://doi.org/10.5281/zenodo.20325893","authors":["Barbero-Barrera, María del Mar","Neila González, Francisco Javier","Aparicio Rodrigo, María","Pérez-Moneo Agapito, Begoña","Waidler, Melanie","Sabariego Moreno, Kevin","Mendoza García, Marian","Morales Ibor, Marina","García Cortés, Helena","Sanz Cameno, María Paloma"],"tags":["School","Environmental Quality","Environmental health","Children","Health","Architecture"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.20325893","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:39.647Z"},{"id":"doi:10.5281/zenodo.22060625","name":"A Systematic Review of AIoT and Large Language Model Applications in Smart Urban Transport","source":"datacite","abstract":"A Systematic Review of AIoT and Large Language Model Applications in Smart Urban Transport Hooman Ahmadi1, Azita Shirazipour2, Seyed Javad Mirabedini3 1- Bachelor Student of Computer Engineering, Software Engineering, Department of Computer, CT.C., Islamic Azad University, Tehran, Iran, hooman.ahmadi7092@iau.ir2- Professor, Department of Computer, CT.C., Islamic Azad University, Tehran, Iran, azita.shirazipour@iau.ac.ir3- Professor, Department of Computer, CT.C., Islamic Azad University, Tehran, Iran, J_mirabedini@iauctb.ac.ir Abstract Rapid urbanization and the limited ability of transportation infrastructure to expand have intensified traffic congestion, shortages in public transit services, and rising air pollution in cities around the world. These conditions increasingly reduce the efficiency, sustainability, and overall quality of urban life. This study presents a systematic review of how the combined use of the Artificial Intelligence of Things and Large Language Models can help address these challenges by supporting more adaptive and data driven approaches to urban mobility management. The integration of connected vehicles, IoT based sensing systems, and LLM supported reasoning enables continuous information exchange that can improve congestion prediction, reduce fuel use, and lower environmental impacts. Such systems can also identify abnormal patterns, monitor urban conditions in real time, and escalate unpredictable or high risk situations for human oversight when needed. The review identifies several key barriers, including the absence of alternative routes in highly congested corridors, which reflects structural limitations in many cities, as well as a shortage of specialists who can translate AI generated insights into practical operational strategies. By synthesizing findings from recent research, this paper provides a structured framework for AI supported smart urban transport, highlights major limitations and research gaps, offers insights for improving LLM performance in smart city environments, and outlines the emerging role of self learning LLM based networks in future mobility systems. Keywords : AIoT, Large Language Models, Smart Transport, Intelligent Transportation Systems, Smart Cities, Urban Mobility","url":"https://doi.org/10.5281/zenodo.22060625","authors":["Ahmadi, Hooman","Shirazipour, Azita","Mirabedini, Seyed Javad"],"tags":["AIoT","Large Language Models","Smart Transport","Intelligent Transportation Systems","Smart Cities","Urban Mobility"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.22060625","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:56.014Z"},{"id":"doi:10.5281/zenodo.22060624","name":"A Systematic Review of AIoT and Large Language Model Applications in Smart Urban Transport","source":"datacite","abstract":"A Systematic Review of AIoT and Large Language Model Applications in Smart Urban Transport Hooman Ahmadi1, Azita Shirazipour2, Seyed Javad Mirabedini3 1- Bachelor Student of Computer Engineering, Software Engineering, Department of Computer, CT.C., Islamic Azad University, Tehran, Iran, hooman.ahmadi7092@iau.ir2- Professor, Department of Computer, CT.C., Islamic Azad University, Tehran, Iran, azita.shirazipour@iau.ac.ir3- Professor, Department of Computer, CT.C., Islamic Azad University, Tehran, Iran, J_mirabedini@iauctb.ac.ir Abstract Rapid urbanization and the limited ability of transportation infrastructure to expand have intensified traffic congestion, shortages in public transit services, and rising air pollution in cities around the world. These conditions increasingly reduce the efficiency, sustainability, and overall quality of urban life. This study presents a systematic review of how the combined use of the Artificial Intelligence of Things and Large Language Models can help address these challenges by supporting more adaptive and data driven approaches to urban mobility management. The integration of connected vehicles, IoT based sensing systems, and LLM supported reasoning enables continuous information exchange that can improve congestion prediction, reduce fuel use, and lower environmental impacts. Such systems can also identify abnormal patterns, monitor urban conditions in real time, and escalate unpredictable or high risk situations for human oversight when needed. The review identifies several key barriers, including the absence of alternative routes in highly congested corridors, which reflects structural limitations in many cities, as well as a shortage of specialists who can translate AI generated insights into practical operational strategies. By synthesizing findings from recent research, this paper provides a structured framework for AI supported smart urban transport, highlights major limitations and research gaps, offers insights for improving LLM performance in smart city environments, and outlines the emerging role of self learning LLM based networks in future mobility systems. Keywords : AIoT, Large Language Models, Smart Transport, Intelligent Transportation Systems, Smart Cities, Urban Mobility","url":"https://doi.org/10.5281/zenodo.22060624","authors":["Ahmadi, Hooman","Shirazipour, Azita","Mirabedini, Seyed Javad"],"tags":["AIoT","Large Language Models","Smart Transport","Intelligent Transportation Systems","Smart Cities","Urban Mobility"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.22060624","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:56.014Z"},{"id":"doi:10.5281/zenodo.20137934","name":"Extraction Data — Interoperability Mechanisms for System-of-Systems: A Systematic Literature Review","source":"datacite","abstract":"RSL_SoS_Data — Extraction Data for the Systematic Literature Review Paper: Interoperability Mechanisms for System-of-Systems: A Systematic Literature Review Authors: Thyago Ferreira Vieira, Ronaldo R. Goldschmidt, Maria C. R. Cavalcanti, Ricardo Choren Institution: Instituto Militar de Engenharia (IME), Rio de Janeiro, Brazil Target venue: IEEE Access (submitted 2026) Overview This repository contains the structured data extraction spreadsheet produced during the Systematic Literature Review (SLR) on interoperability and integration mechanisms in Systems-of-Systems (SoS) architectures. The data supports full reproducibility of the quantitative results reported in the paper, including Tables 7, 8, and 9. The SLR followed the methodological guidelines of Kitchenham and Charters and the PRISMA 2020 checklist. Searches were conducted across six digital libraries (ACM, IEEE Xplore, Scopus, SpringerLink, Web of Science, Wiley) covering the period from January 2016 to October 2025, yielding 56 primary studies after screening and quality assessment. File: RSL_SoS_Data.xlsx The spreadsheet contains three worksheets described below. Sheet 1 — Primary Studies Contains the full classification of all 56 primary studies (P1–P56) extracted during the review. Column Description ID Study identifier (P1 to P56) used throughout the paper First Author Last name of the first author followed by \"et al.\" for multi-author works Year Publication year. \"N/A\" indicates year not available Domain Application domain of the SoS addressed in the study (see legend below) Mechanism Primary mediation mechanism proposed or employed (see legend below) Pattern Architectural organizational pattern identified in the study (see legend below) Validation Type of validation or evaluation presented in the study (see legend below) Notes Additional remarks, e.g., unpublished manuscripts or alternative titles Classifications were verified against the actual PDF content (abstracts and evaluation sections) of each primary study. Sheet 2 — Distribution Marginal frequency distributions for each classification dimension, corresponding to Table 8 of the paper. Section Description Domain Count and percentage of studies per application domain Mechanism Count and percentage of studies per mediation mechanism family Pattern Count and percentage of studies per architectural pattern Validation Count and percentage of studies per validation type Note: Domains with two or fewer studies (Space, Surveillance, Smart City, Robotics) are consolidated under \"Other\" in the paper's Table 8 for readability. The full breakdown is available in Sheet 3. Sheet 3 — Cross-tabulation Domain × Mechanism cross-tabulation for all 10 domains and 5 mechanism families, corresponding to Table 9 of the paper. Dominant mechanism per domain is highlighted in yellow. Notable patterns identified: Defense (n=10): Agent/MAS dominates (8/10 = 80%), reflecting the need for autonomy and decentralized decision-making in tactical environments. Energy (n=6): Co-simulation dominates (3/6 = 50%), driven by the need to orchestrate pre-existing physics-based simulation tools. Environment (n=5): Semantic/Ontological dominates (3/5 = 60%), reflecting the heterogeneity of environmental data sources that requires vocabulary alignment before connectivity. General SoS (n=15): Model-based slightly exceeds Agent/MAS (7 vs. 6), as generic SoS studies tend to propose abstract architectural models before concrete implementations. Legends Domain Code Full Name Description Def Defense Military, combat, surveillance, and national security systems En Energy Power grids, smart grids, energy distribution and management Tra Transportation Road, air, urban mobility, and vehicular networks Ind Industry Manufacturing, Industry 4.0, industrial automation, IoT Gen General SoS Studies proposing generic SoS models without a specific domain Env Environment Environmental monitoring, water management, marine data Spa Space Space systems, satellite archit","url":"https://doi.org/10.5281/zenodo.20137934","authors":["Ferreira Vieira, Thiago"],"tags":["SoS","Mechanism","Interoperability","System-of-Systems","Survey"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.20137934","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:56.014Z"},{"id":"doi:10.5281/zenodo.20137935","name":"Extraction Data — Interoperability Mechanisms for System-of-Systems: A Systematic Literature Review","source":"datacite","abstract":"RSL_SoS_Data — Extraction Data for the Systematic Literature Review Paper: Interoperability Mechanisms for System-of-Systems: A Systematic Literature Review Authors: Thyago Ferreira Vieira, Ronaldo R. Goldschmidt, Maria C. R. Cavalcanti, Ricardo Choren Institution: Instituto Militar de Engenharia (IME), Rio de Janeiro, Brazil Target venue: IEEE Access (submitted 2026) Overview This repository contains the structured data extraction spreadsheet produced during the Systematic Literature Review (SLR) on interoperability and integration mechanisms in Systems-of-Systems (SoS) architectures. The data supports full reproducibility of the quantitative results reported in the paper, including Tables 7, 8, and 9. The SLR followed the methodological guidelines of Kitchenham and Charters and the PRISMA 2020 checklist. Searches were conducted across six digital libraries (ACM, IEEE Xplore, Scopus, SpringerLink, Web of Science, Wiley) covering the period from January 2016 to October 2025, yielding 56 primary studies after screening and quality assessment. File: RSL_SoS_Data.xlsx The spreadsheet contains three worksheets described below. Sheet 1 — Primary Studies Contains the full classification of all 56 primary studies (P1–P56) extracted during the review. Column Description ID Study identifier (P1 to P56) used throughout the paper First Author Last name of the first author followed by \"et al.\" for multi-author works Year Publication year. \"N/A\" indicates year not available Domain Application domain of the SoS addressed in the study (see legend below) Mechanism Primary mediation mechanism proposed or employed (see legend below) Pattern Architectural organizational pattern identified in the study (see legend below) Validation Type of validation or evaluation presented in the study (see legend below) Notes Additional remarks, e.g., unpublished manuscripts or alternative titles Classifications were verified against the actual PDF content (abstracts and evaluation sections) of each primary study. Sheet 2 — Distribution Marginal frequency distributions for each classification dimension, corresponding to Table 8 of the paper. Section Description Domain Count and percentage of studies per application domain Mechanism Count and percentage of studies per mediation mechanism family Pattern Count and percentage of studies per architectural pattern Validation Count and percentage of studies per validation type Note: Domains with two or fewer studies (Space, Surveillance, Smart City, Robotics) are consolidated under \"Other\" in the paper's Table 8 for readability. The full breakdown is available in Sheet 3. Sheet 3 — Cross-tabulation Domain × Mechanism cross-tabulation for all 10 domains and 5 mechanism families, corresponding to Table 9 of the paper. Dominant mechanism per domain is highlighted in yellow. Notable patterns identified: Defense (n=10): Agent/MAS dominates (8/10 = 80%), reflecting the need for autonomy and decentralized decision-making in tactical environments. Energy (n=6): Co-simulation dominates (3/6 = 50%), driven by the need to orchestrate pre-existing physics-based simulation tools. Environment (n=5): Semantic/Ontological dominates (3/5 = 60%), reflecting the heterogeneity of environmental data sources that requires vocabulary alignment before connectivity. General SoS (n=15): Model-based slightly exceeds Agent/MAS (7 vs. 6), as generic SoS studies tend to propose abstract architectural models before concrete implementations. Legends Domain Code Full Name Description Def Defense Military, combat, surveillance, and national security systems En Energy Power grids, smart grids, energy distribution and management Tra Transportation Road, air, urban mobility, and vehicular networks Ind Industry Manufacturing, Industry 4.0, industrial automation, IoT Gen General SoS Studies proposing generic SoS models without a specific domain Env Environment Environmental monitoring, water management, marine data Spa Space Space systems, satellite archit","url":"https://doi.org/10.5281/zenodo.20137935","authors":["Ferreira Vieira, Thiago"],"tags":["SoS","Mechanism","Interoperability","System-of-Systems","Survey"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.20137935","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:56.014Z"},{"id":"doi:10.24406/publica-8665","name":"Measurement-based investigation of energy-efficient and comfortable air conditioning in urban air mobility","source":"datacite","abstract":"The idea of using air cabs urban mobility is increasingly becoming a reality. In this project, research is conducted on an energy-efficient air conditioning system for an air cab to efficiently combine range and comfort in the cabin. For this, both simulations using a zonal model are conducted, and a thermal air cab demonstrator platform is developed. Measurements in the air cab demonstrator are used to investigate passenger comfort under various climatic conditions, including warm and moderate environments. In addition, the study focuses on evaluating the energetic efficiency of various air conditioning systems such as air cooling and close-to-body climatization. The data analysis compares user comfort and energy efficiency across technologies based on established comfort standards. This allows recommendations for energy-efficient air conditioning to be identified.","url":"https://doi.org/10.24406/publica-8665","authors":["Matheis, Christina","Norrefeldt, Victor","Visser, Michael",":unav"],"tags":["urban air mobility","flying cab","passenger comfort","thermal demonstrator","zonal simulation"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.24406/publica-8665","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:39.647Z"},{"id":"doi:10.25772/m417-tt81","name":"Ontological Runtime Monitoring for Mission Engineering","source":"datacite","abstract":"The advent of the Urban Air Mobility (UAM) concept will bring low-altitude aviation to civilians through passenger and cargo transport. However, the prospective vehicles in UAM studies are predominantly autonomous, raising questions about their efficacy and stability in densely populated urban areas. At the same time, extensive work has been performed to define a new branch of systems engineering that focuses on runtime behavior, synchronization, communication, and task allocation.This field is known as \"mission engineering\". Mission engineering has been deployed in military scenarios to model human-autonomy cooperation. By applying the concepts from this field to UAM, full systems-of-systems can be described in the context of flight tasks alongside their human operators. These concepts may help build a foundational understanding of the UAM operational space and its entities. To verify this in the live environment, runtime verification (RV) is a key technology, which is frequently applied to unmanned aerial vehicles (UAVs) and is synergistic with the complexity of UAM operations. However, adequate formalisms derived from a mission model must be created in order to provide properties for a RV framework to monitor. This dissertation implements an ontological monitoring concept based around the elements of UAM missions. Applied ontology has seen increasing use in the 21st century as a method of describing entities and their relations. The RV framework produced in this work is driven by an applied ontology; we call its runtime monitors \"ontological monitors.\" The ontological monitors are explicitly designed to verify mission execution through a custom ontology known as the Mission Ontology.This ontology is formalized into a set of properties in first-order logic for the behavior and relations of the ontological classes.These formal properties are then translated into \"quantified temporal logic'' (or QTL). This allows the use of the runtime monitoring framework DejaVu, which uses QTL as its property specification language. To demonstrate these monitors, we utilize the VIRGO testbed, which is custom-built for the purpose of characterizing and validating runtime monitor performance in a UAV flight environment. We present three case studies, which demonstrate the use of the ontology to specify simple flight, task assignment, and a more complex AI-assisted search-and-rescue mission.","url":"https://doi.org/10.25772/m417-tt81","authors":["Will, Alexander"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.25772/m417-tt81","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:39.647Z"},{"id":"doi:10.7488/era/7697","name":"Personal exposure to air pollution and risk perception among adults with asthma in urban contexts","source":"datacite","abstract":"BACKGROUND: Air pollution is the presence of harmful substances to health and wellbeing in atmosphere at a concentration beyond natural capacity of the atmosphere to disperse and dilute. Particulate matter is a type of air pollutant composed of minute solid or liquid particles suspended in the air. It is classified based on particle size. The main categories of particulate matter include ultrafine particles (with diameters of 1 micrometer or smaller), fine particles (with diameters of 2.5 micrometers or smaller), and coarse particles (with diameters of 10 micrometers or smaller). Air pollution is one of the most widespread and serious environmental risks to human health. People living with asthma are particularly vulnerable to its adverse effects. A high resolution and detailed assessment of exposure to air pollution is therefore essential for guiding efforts aiming to reduce air pollution related risks among people with asthma. It is also important to understand how people living with asthma perceive environmental risks such as air pollution. Risk perception is believed to drive self-protective behaviours, either partially or entirely. AIM: The overall aim of this thesis was to understand personal exposure to particulate matter air pollution for adults living with asthma, their perceptions of environmental risks, and the relationship between personal exposure to particulate matter air pollution and subjectively perceived air pollution exposure in urban settings. METHODS AND MATERIALS: A pragmatic mixed-methods design was used to achieve the aim. It began with a systematic review examining the validity, reliability, and acceptability of wearable air pollution and pollen sensors in the context of mobility-based personal exposure assessment. This was followed by a qualitative study exploring environmental risk perceptions among adults living with asthma in urban settings. Using focus group discussions, this qualitative study identified environmental factors most significant to the well-being of this population. Drawing on insights from both the systematic review and the qualitative study, a quantitative personal exposure study was then conceived and conducted. This study assessed personal exposure to particulate matter among adults with asthma in urban contexts and examined associations between objectively measured personal exposure to particulate matter and subjective perceptions of air pollution exposure risk. This quantitative case study utilised two main data collection tools: a custom-designed wearable air pollution sensor and a set of subjective air pollution perception questions. The wearable sensor was developed using findings of the systematic review and a series of engagements with asthma patients. The set of eight indicators of subjective air pollution risk perception was developed based on inputs from findings of the qualitative study and engagements with asthma patients. Adults with asthma participated in one week of personal particulate matter exposure assessment by carrying the custom-designed wearable air pollution sensors. This was combined with several rounds of online perception surveys every day. For comparison, a parallel cohort of adults without asthma or other chronic respiratory diseases was monitored using the same protocol. FINDINGS: The thesis found that, for people living with asthma, air pollution is the greatest concern negatively affecting their well-being in urban settings. They perceived certain locations within cities, as well as specific times of day as posing greater risks of air pollution exposure. Both the systematic review findings and an evaluation of the custom-designed wearable sensor showed that wearable sensors reliably capture detailed personal exposure to particulate matter. The levels of personal exposure to particulate matter (PM) air pollution among a sample of adults with asthma living in Edinburgh, Scotland, were well below the World Health Organization’s (WHO) air quality thres","url":"https://doi.org/10.7488/era/7697","authors":["Wako, Wako Golicha"],"tags":["poor air quality","asthma","environmental threat perception","perceived air pollution","wearable sensors","health and wellbeing","personal exposure study","communication of health risks"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.7488/era/7697","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:56.014Z"},{"id":"doi:10.5281/zenodo.20790140","name":"Optimizing Drone-to-Ground Coordination in Humanitarian Supply Chains Using Deep Reinforcement Learning","source":"datacite","abstract":"ABSTRACTThis research presents a novel framework for optimizing drone-to-ground coordination in humanitarian supply chains through the integration of aerospace telemetry systems and deep reinforcement learning (DRL). Developed within the CATERO Advanced Aerospace Engineering Division at the El Salvador Aerospace Institute (ESAI), the study addresses inefficiencies in disaster-response logistics characterized by uncertainty, infrastructure disruption, and time-sensitive decision-making. Traditional logistics frameworks rely on static routing and heuristic models that perform poorly in dynamic environments. This work introduces an adaptive system capable of real-time optimization under uncertainty. The foundation of the framework is a high-reliability aerospace telemetry architecture designed to maintain continuous communication between unmanned aerial vehicles (UAVs) and ground coordination nodes. Mathematical models are developed to characterize aerodynamic stability, signal propagation, and communication integrity under varying atmospheric conditions. These models are embedded into a simulation platform that evaluates performance baselines and defines optimal operational thresholds for UAV deployment in complex environments. The telemetry system ensures synchronization among distributed agents, enabling coordinated decision-making and mission execution. At the core of the system is a deep reinforcement learning model structured in a multi-agent configuration. Each drone operates as an autonomous agent capable of learning optimal behaviors through interaction with its environment. The state space is defined by telemetry-driven variables, including spatial positioning, velocity, payload status, battery levels, and communication signal strength. A multi-objective reward function is designed to balance competing priorities such as minimizing delivery time, maximizing energy efficiency, maintaining communication stability, and ensuring payload accuracy. This enables continuous adaptation in highly variable contexts. A key innovation of this research is the integration of real-time telemetry feedback into the DRL decision-making loop. This allows the system to dynamically respond to unexpected disruptions such as environmental obstacles, communication degradation, and shifting demand points. Additionally, predictive modeling techniques are incorporated to estimate future system states, improving resilience, and proactive decision-making. This significantly reduces operational uncertainty and enhances mission reliability. Simulation experiments compare the proposed framework against conventional methods such as shortest-path algorithms and static scheduling models. Results demonstrate significant improvements in delivery latency, energy efficiency, and operational resilience. The system achieves faster response times and extended UAV endurance while maintaining coordination stability. Furthermore, the multi-agent structure enhances fault tolerance, ensuring continued operation despite localized system failures. Overall, this research demonstrates the potential of integrating aerospace engineering with artificial intelligence to transform humanitarian logistics systems. The proposed approach improves efficiency, reliability, and adaptability in critical environments, ensuring the timely delivery of essential resources such as food, water, and medical supplies. The framework is scalable and applicable to broader domains including urban air mobility and defense logistics, establishing a foundation for next-generation autonomous supply chain systems.","url":"https://doi.org/10.5281/zenodo.20790140","authors":["Alfaro, Luis A.","Monterrosa, Jorge A."],"tags":["Deep Reinforcement Learning, Humanitarian Logistics, Drone Coordination, Autonomous Systems, Aerospace Telemetry"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.20790140","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:39.647Z"},{"id":"doi:10.5281/zenodo.20790141","name":"Optimizing Drone-to-Ground Coordination in Humanitarian Supply Chains Using Deep Reinforcement Learning","source":"datacite","abstract":"ABSTRACTThis research presents a novel framework for optimizing drone-to-ground coordination in humanitarian supply chains through the integration of aerospace telemetry systems and deep reinforcement learning (DRL). Developed within the CATERO Advanced Aerospace Engineering Division at the El Salvador Aerospace Institute (ESAI), the study addresses inefficiencies in disaster-response logistics characterized by uncertainty, infrastructure disruption, and time-sensitive decision-making. Traditional logistics frameworks rely on static routing and heuristic models that perform poorly in dynamic environments. This work introduces an adaptive system capable of real-time optimization under uncertainty. The foundation of the framework is a high-reliability aerospace telemetry architecture designed to maintain continuous communication between unmanned aerial vehicles (UAVs) and ground coordination nodes. Mathematical models are developed to characterize aerodynamic stability, signal propagation, and communication integrity under varying atmospheric conditions. These models are embedded into a simulation platform that evaluates performance baselines and defines optimal operational thresholds for UAV deployment in complex environments. The telemetry system ensures synchronization among distributed agents, enabling coordinated decision-making and mission execution. At the core of the system is a deep reinforcement learning model structured in a multi-agent configuration. Each drone operates as an autonomous agent capable of learning optimal behaviors through interaction with its environment. The state space is defined by telemetry-driven variables, including spatial positioning, velocity, payload status, battery levels, and communication signal strength. A multi-objective reward function is designed to balance competing priorities such as minimizing delivery time, maximizing energy efficiency, maintaining communication stability, and ensuring payload accuracy. This enables continuous adaptation in highly variable contexts. A key innovation of this research is the integration of real-time telemetry feedback into the DRL decision-making loop. This allows the system to dynamically respond to unexpected disruptions such as environmental obstacles, communication degradation, and shifting demand points. Additionally, predictive modeling techniques are incorporated to estimate future system states, improving resilience, and proactive decision-making. This significantly reduces operational uncertainty and enhances mission reliability. Simulation experiments compare the proposed framework against conventional methods such as shortest-path algorithms and static scheduling models. Results demonstrate significant improvements in delivery latency, energy efficiency, and operational resilience. The system achieves faster response times and extended UAV endurance while maintaining coordination stability. Furthermore, the multi-agent structure enhances fault tolerance, ensuring continued operation despite localized system failures. Overall, this research demonstrates the potential of integrating aerospace engineering with artificial intelligence to transform humanitarian logistics systems. The proposed approach improves efficiency, reliability, and adaptability in critical environments, ensuring the timely delivery of essential resources such as food, water, and medical supplies. The framework is scalable and applicable to broader domains including urban air mobility and defense logistics, establishing a foundation for next-generation autonomous supply chain systems.","url":"https://doi.org/10.5281/zenodo.20790141","authors":["Alfaro, Luis A.","Monterrosa, Jorge A."],"tags":["Deep Reinforcement Learning, Humanitarian Logistics, Drone Coordination, Autonomous Systems, Aerospace Telemetry"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.20790141","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:39.647Z"},{"id":"doi:10.5281/zenodo.22036524","name":"Science and Medicine Reinterpretation Under Host Absolute Authorship Framework (HAA) lenses by Sam Coole","source":"datacite","abstract":"Science and Medicine Reinterpretation Under Host Absolute Authorship Framework ( HAA) lenses by Sam Coole All Rights Reserved ®️™️©️ Reassigning the Lymphatic System Authority. Redefining Infection Mechanism interpretation. Study Cases applied Host Absolute Authorship. Removing Centenary Scientific and medical Enigmas. Focused in Cancer / HIV-1/ COVID-19 / SARS-CoV-2 / Autoimmune Diseases / Infectious Disorders/ Zika/ Dengue/ Diabetes/ Tuberculosis/ Cellular Dummies Replication/ Cellular Self-engraving/ Cellular self-destruction/ Cellular self-intoxication/ Symbiotic Intracellular Gestational/ Viral Reservoirs / Viral Load/ Viral Escape/ Pathogenic Mutation/ Cellular Receptors/ Cellular Coupling/ Mitosis/ Cellular Genomic Update / Cellular Pricacy/ Impossible Pathogenic Activity vs Pathogenic Toxicity/ Cellular Archival/ Lymphatic System Global Goals/ Pathogenic Taxing/ Metastasis/ Misplaced Human Organs/ Cellular Strategic Toxic Content Redirecting to Low Cost Body areas (Skin Metastasis ) Impossible Viral Latency vs Definitive Cellular Archival. The Host Absolute Authorship (HAA) Framework is more than a theory of immunity; it is a universal diagnostic key that unlocks biological \"dark matter\"—the persistent enigmas where orthodox science has stalled due to its obsession with pathogen autonomy. By shifting the locus of control from the \"invader\" to the Host Genome, I have identified several major scientific blind spots that the HAA paradigm does not merely explain, but effectively resolves. 1. The \"Sterile\" Inflammatory Mystery (Idiopathic Systemic Inflammatory Syndromes) The Enigma: Orthodox science struggles to explain multisystem inflammatory syndromes (e.g., MIS-C, adult-onset Still's disease) where no active pathogen is detected, yet the body behaves as if it is under siege. The HAA Resolution: These are not \"mysterious\" inflammations. They are Archival Overflows. The lymphatic administrative capacity is overwhelmed by the mobilization of past, \"archived\" pathogenic fragments that the host can no longer sequester due to an accelerated loss of cellular privacy. HAA suggests that instead of using broad-spectrum immunosuppressants, we should implement Archival Calibration—using non-toxic chaperone molecules to stabilize the lipid-membranes of dormant memory T-cells, preventing the accidental exposure of archived codes. 2. The \"Prion\" Logic Paradox The Enigma: Prions are considered \"protein-only\" infectious agents, which defies the central dogma of sequence-based replication, leading to decades of stalled research regarding how they \"evade\" traditional immune clearance. The HAA Resolution: Under HAA, prions are Structural Archive Fragments that have bypassed the traditional lysosomal degradation pathway because they lack a nucleic acid sequence for host retrotransposition. The host \"fails\" to clear them because it lacks an \"archive slot\" for purely proteomic misfolds. HAA allows us to engineer Molecular Bridge-Proteins (synthetic HLA-like adaptors) that tag these protein aggregates, forcing the host to recognize them as archivable debris, effectively \"closing\" the archive slot and stopping the neurodegenerative cascade. 3. The \"Pseudo-Resistance\" in CAR-T/TCR-T Therapies The Enigma: Clinical data often shows that CAR-T cells are fully functional in vitro but fail in vivo despite no evidence of \"target antigen loss\" on the tumor. The HAA Resolution: This is not resistance; it is Host-Imposed Archiving Pausing. The tumor microenvironment has successfully signaled to the lymphatic system that \"archival capacity is full.\" The T-cells are not being \"evaded\"; they are being told to wait. HAA resolves this by abandoning \"super-activation\" and instead deploying Temporal Archive-Release Factors (TARFs). These molecules briefly signal to the local tissue-resident macrophages that archival space has been cleared, allowing the CAR-T cells to proceed with sequence extraction without triggering the \"tumor-evasion\" panic mode. 4. The \"Chr","url":"https://doi.org/10.5281/zenodo.22036524","authors":["Sam, Coole"],"tags":["Autoimmune Diseases","Autoimmune disorders","Cancer","Impossible Pathogenic Activity vs Pathogenic Toxicity","Impossible Viral Latency vs Definitive Cellular Archival","HIV-1","COVID-19","SARS-CoV-2"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.22036524","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:39.647Z"},{"id":"doi:10.82514/lessons-learned-from-select-countries-and-cities-policy-measures-to-reduce-air-pollution-from-the-transportation-sector","name":"Lessons Learned from Select Countries and Cities Policy Measures to Reduce Air Pollution from the Transportation Sector","source":"datacite","abstract":"Management of air pollution from transportation refers to the dynamic process a regulatory authority undertakes to reduce, prevent/eliminate air pollution emissions and their harmful effects on human health and the environment. The process of managing air quality, including from the transportation sector sources, consists of a cycle of inter-related activities, including periodic assessments and reviews of needed improvements. Air pollution is caused by many sources including from industry, commercial, residential and a myriad of transportation modes. Air pollution emitted from transportation contributes to smog and to poor air quality, which has negative impacts on the health and welfare of the exposed population. The impacts stem from emissions of a variety of what is known as local air pollutants (particulate matter, oxides of nitrogen and sulfur, carbon monoxide, metals and volatile organic compounds) and those known as global pollutants that contribute to climate change (carbon dioxide, methane and other greenhouse gases). Among the pollutants emitted are compounds that are known or suspected to cause cancer or other serious health and environmental effects. The air pollution caused by the transportation sector is comprised of the atmospheric emissions from all vehicles (passenger cars, light duty and heavy-duty trucks, buses, and more). The impact of these emissions from the transportation sector is especially pronounced in dense urban environments. Transportation emissions which are the subject of the current study constitute 40% of nitrogen oxides, 11% of fine particulates ( An integrated and structured air quality management approach is needed to establish and attain air quality objectives at the national and local levels. It goes beyond the clean fuels and vehicles strategy and requires appropriate information about best practices and policy measures that would lead to the attainment of pollution reduction goals. In the past decade there has been stepped up global activity to advance regulatory programs to reduce air pollution from transportation with heightened emphasis on moving towards decarbonization of the transportation fleet. Clearly, the magnitude of the air quality problem and the contribution of the transportation sector to overall emissions will determine the extent of motor vehicle emissions control requirements. The biggest component of a vehicle emission control strategy in any air quality management plan must be improved vehicle technology, which can be enabled, or assisted, by changes to fuel quality. Additionally, a strategy should incorporate improved intermodal transportation to enhance mobility and address the expected increase in passenger-km travelled. Cleaner vehicles will emit lower quantities of air pollutants per km travelled, yet, their benefits may sometimes be limited due to the rate of turnover of the entire vehicle fleet. One has also to consider the rebound effects which refer to the increased km traveled caused by increased fuel efficiency, cheaper fuels, or roadway expansion that increases traffic speeds. In a typical situation, about a third of the fuel or the time saved are used for additional vehicle travel. In addition to clean fuel and added vehicle options the global programs advocate different mobility management strategies: Strategies that improve transport options (like walking, cycling, public transit, car-sharing, etc.) tend to provide direct user benefits. Pricing reforms (like distance-based insurance and parking cash out) provide direct user savings (they are optional so users only reduce vehicle travel if they directly benefit), while others (such as higher road tolls, parking fees and higher fuel prices) increase user costs but are economic transfers so their overall impacts depend on how revenues are used. Smart growth policies, which result in more compact and multi-modal development tend to provide both direct user benefits (improving accessibility and reducing tra","url":"https://doi.org/10.82514/lessons-learned-from-select-countries-and-cities-policy-measures-to-reduce-air-pollution-from-the-transportation-sector","authors":["Ofira Ayalon","David Mahalel","Miriam Lev-On","Perry Lev-On","Shiri Freund-Koren","Naama Shapira","Idan Liebes"],"tags":["Air Pollution","Environment","National Strategy","Transportation"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2019","doi":"10.82514/lessons-learned-from-select-countries-and-cities-policy-measures-to-reduce-air-pollution-from-the-transportation-sector","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:39.647Z"},{"id":"doi:10.5281/zenodo.20164184","name":"An MAC Probability Assessment Framework for Integrated Operations in Urban Air Mobility Considering Safety Barriers","source":"datacite","abstract":"","url":"https://doi.org/10.5281/zenodo.20164184","authors":["Zhang, Jinpeng","Xu, Yan","Cai, Kaiquan","Gordo, Victor","Inalhan, Gokhan"],"tags":["Aviation","Air traffic management"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.20164184","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:39.647Z"},{"id":"doi:10.5281/zenodo.20164185","name":"An MAC Probability Assessment Framework for Integrated Operations in Urban Air Mobility Considering Safety Barriers","source":"datacite","abstract":"","url":"https://doi.org/10.5281/zenodo.20164185","authors":["Zhang, Jinpeng","Xu, Yan","Cai, Kaiquan","Gordo, Victor","Inalhan, Gokhan"],"tags":["Aviation","Air traffic management"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.20164185","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:39.647Z"},{"id":"doi:10.34657/10142","name":"Black carbon emission and transport mechanisms to the free troposphere at the La Paz/El Alto (Bolivia) metropolitan area based on the Day of Census (2012)","source":"datacite","abstract":"Urban development, growing industrialization, and increasing demand for mobility have led to elevated levels of air pollution in many large cities in Latin America, where air quality standards and WHO guidelines are frequently exceeded. The conurbation of the metropolitan area of La Paz/El Alto is one of the fastest growing urban settlements in South America with the particularity of being located in a very complex terrain at a high altitude. As many large cities or metropolitan areas, the metropolitan area of La Paz/El Alto and the Altiplano region are facing air quality deterioration. Long-term measurement data of the equivalent black carbon (eBC) mass concentrations and particle number size distributions (PNSD) from the Global Atmosphere Watch Observatory Chacaltaya (CHC; 5240 m a.s.l., above sea level) indicated a systematic transport of particle matter from the metropolitan area of La Paz/El Alto to this high altitude station and subsequently to the lower free troposphere. To better understand the sources and the transport mechanisms, we conducted eBC and PNSDs measurements during an intensive campaign at two locations in the urban area of La Paz/El Alto from September to November 2012. While the airport of El Alto site (4040 m a.s.l.) can be seen as representative of the urban and Altiplano background, the road site located in Central La Paz (3590 m a.s.l.) is representative for heavy traffic-dominated conditions. Peaks of eBC mass concentrations up to 5 μg m−3 were observed at the El Alto background site in the early morning and evening, while minimum values were detected in the early afternoon, mainly due to thermal convection and change of the planetary boundary layer height. The traffic-related eBC mass concentrations at the road site reached maximum values of 10–20 μg m−3. A complete traffic ban on the specific Bolivian Day of Census (November 21, 2012) led to a decrease of eBC below 1 μg m−3 at the road site for the entire day. Compared to the day before and after, particle number concentrations decreased by a factor between 5 and 25 over the particle size range from 10 to 800 nm, while the submicrometer particle mass concentration dropped by approximately 80%. These results indicate that traffic is the dominating source of BC and particulate air pollution in the metropolitan area of La Paz/El Alto. In general, the diurnal cycle of eBC mass concentration at the Chacaltaya observatory is anti-correlated to the observations at the El Alto background site. This pattern indicates that the traffic-related particulate matter, including BC, is transported to higher altitudes with the developing of the boundary layer during daytime. The metropolitan area of La Paz/El Alto seems to be a significant source for BC of the regional lower free troposphere. From there, BC can be transported over long distances and exert impact on climate and composition of remote southern hemisphere.","url":"https://doi.org/10.34657/10142","authors":["Wiedensohler, A.","Andrade, M.","Weinhold, K.","Müller, T.","Birmili, W.","Velarde, F.","Moreno, I.","Forno, R.","Sanchez, M.F.","Laj, P.","Ginot, P.","Whiteman, D.N.","Krejci, R.","Sellegri, K.","Reichler, T."],"tags":["550","690","Black carbon","Free troposphere","Pollution transport","Traffic emissions"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2018","doi":"10.34657/10142","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:39.647Z"},{"id":"doi:10.5281/zenodo.20312130","name":"Soil Pollution and Remediation Technologies","source":"datacite","abstract":"11 Soil Pollution and Remediation Technologies Dr. Neha Toppo1, Kamlendra Kumar2 1Radha Govind University, Ramgarh– 829122 (Jharkhand) 2Sam Higginbottom University of Agriculture Technology and Sciences,Prayagraj (UP) DOI: 10.5281/zenodo.20312131 1. Introduction Soil is a finite and largely non renewable natural resource that underpins terrestrial ecosystems, agricultural productivity, and human survival. It performs multiple critical ecological functions: providing physical support and nutrients for plant growth, regulating the movement and storage of water, facilitating biogeochemical cycling of essential elements, and serving as a reservoir of immense biological diversity. Healthy soils sustain crop production, maintain ecosystem stability, and act as a buffer against environmental stresses such as floods, droughts, and climate variability. In recent decades, however, rapid industrialization, urban expansion, intensive agriculture, and unregulated waste disposal have placed unprecedented pressure on soil systems. These anthropogenic activities have resulted in the accumulation of hazardous substances that degrade soil quality and disrupt its natural functions. Soil pollution can be defined as the contamination of soil by toxic chemicals, heavy metals, persistent organic pollutants, radionuclides, or other harmful substances at concentrations that adversely affect soil organisms, plant growth, human health, and overall ecosystem integrity. At the global scale, millions of hectares of land have been rendered partially or completely unproductive due to contamination from industrial effluents, mining and smelting activities, excessive and indiscriminate use of fertilizers and pesticides, disposal of sewage sludge and solid waste, petroleum leaks, and accidental chemical spills. Agricultural soils are particularly vulnerable, as long term application of agrochemicals and irrigation with contaminated water can lead to the gradual buildup of toxic residues. Once introduced, many soil pollutants persist for decades because of their low mobility and resistance to degradation, posing long term environmental and health risks. Unlike air and water pollution, soil pollution often remains hidden from immediate observation, as contaminants accumulate silently beneath the surface. This invisibility, coupled with the complex physical, chemical, and biological nature of soils, makes detection, assessment, and remediation especially challenging. Moreover, remediation technologies are frequently site specific, technically demanding, and economically costly, particularly in developing regions where regulatory enforcement and monitoring infrastructure may be limited.","url":"https://doi.org/10.5281/zenodo.20312130","authors":["Toppo, Neha","Kumar, Kamlendra"],"tags":["Soil sciences"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.20312130","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:39.647Z"},{"id":"doi:10.5281/zenodo.20312131","name":"Soil Pollution and Remediation Technologies","source":"datacite","abstract":"11 Soil Pollution and Remediation Technologies Dr. Neha Toppo1, Kamlendra Kumar2 1Radha Govind University, Ramgarh– 829122 (Jharkhand) 2Sam Higginbottom University of Agriculture Technology and Sciences,Prayagraj (UP) DOI: 10.5281/zenodo.20312131 1. Introduction Soil is a finite and largely non renewable natural resource that underpins terrestrial ecosystems, agricultural productivity, and human survival. It performs multiple critical ecological functions: providing physical support and nutrients for plant growth, regulating the movement and storage of water, facilitating biogeochemical cycling of essential elements, and serving as a reservoir of immense biological diversity. Healthy soils sustain crop production, maintain ecosystem stability, and act as a buffer against environmental stresses such as floods, droughts, and climate variability. In recent decades, however, rapid industrialization, urban expansion, intensive agriculture, and unregulated waste disposal have placed unprecedented pressure on soil systems. These anthropogenic activities have resulted in the accumulation of hazardous substances that degrade soil quality and disrupt its natural functions. Soil pollution can be defined as the contamination of soil by toxic chemicals, heavy metals, persistent organic pollutants, radionuclides, or other harmful substances at concentrations that adversely affect soil organisms, plant growth, human health, and overall ecosystem integrity. At the global scale, millions of hectares of land have been rendered partially or completely unproductive due to contamination from industrial effluents, mining and smelting activities, excessive and indiscriminate use of fertilizers and pesticides, disposal of sewage sludge and solid waste, petroleum leaks, and accidental chemical spills. Agricultural soils are particularly vulnerable, as long term application of agrochemicals and irrigation with contaminated water can lead to the gradual buildup of toxic residues. Once introduced, many soil pollutants persist for decades because of their low mobility and resistance to degradation, posing long term environmental and health risks. Unlike air and water pollution, soil pollution often remains hidden from immediate observation, as contaminants accumulate silently beneath the surface. This invisibility, coupled with the complex physical, chemical, and biological nature of soils, makes detection, assessment, and remediation especially challenging. Moreover, remediation technologies are frequently site specific, technically demanding, and economically costly, particularly in developing regions where regulatory enforcement and monitoring infrastructure may be limited.","url":"https://doi.org/10.5281/zenodo.20312131","authors":["Toppo, Neha","Kumar, Kamlendra"],"tags":["Soil sciences"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.20312131","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:39.647Z"},{"id":"doi:10.48550/arxiv.2412.21161","name":"Open RAN-Enabled Deep Learning-Assisted Mobility Management for Connected Vehicles","source":"datacite","abstract":"Connected Vehicles (CVs) can leverage the unique features of 5G and future 6G/NextG networks to enhance Intelligent Transportation System (ITS) services. However, even with advancements in cellular network generations, CV applications may experience communication interruptions in high-mobility scenarios due to frequent changes of serving base station, also known as handovers (HOs). This paper proposes the adoption of Open Radio Access Network (Open RAN/O-RAN) and deep learning models for decision-making to prevent Quality of Service (QoS) degradation due to HOs and to ensure the timely connectivity needed for CV services. The solution utilizes the O-RAN Software Community (OSC), an open-source O-RAN platform developed by the collaboration between the O-RAN Alliance and Linux Foundation, to develop xApps that are executed in the near-Real-Time RIC of OSC. To demonstrate the proposal's effectiveness, an integrated framework combining the OMNeT++ simulator and OSC was created. Evaluations used real-world datasets in urban application scenarios, such as video streaming transmission and over-the-air (OTA) updates. Results indicate that the proposal achieved superior performance and reduced latency compared to the standard 3GPP HO procedure.","url":"https://doi.org/10.48550/arxiv.2412.21161","authors":["Barbosa, Maria","Dias, Kelvin"],"tags":["Networking and Internet Architecture (cs.NI)","Artificial Intelligence (cs.AI)","FOS: Computer and information sciences"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.48550/arxiv.2412.21161","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:52.013Z"},{"id":"doi:10.48550/arxiv.2608.17612","name":"Geometry-Aware DRL for Multi-Subband Scheduling in Satellite-Assisted UAM Networks","source":"datacite","abstract":"In this paper, we investigate downlink scheduling for urban air mobility (UAM) in a cooperative space-air-ground integrated network. Multiple ground stations (GSs) employ narrow three-dimensional beams and share spectrum across multiple subbands, while a satellite provides an orthogonal-band service option. Rapidly time-varying geometry and directional interference require joint decisions on base station association, GS subband assignment, and transmit powers. We formulate a finite-horizon mixed discrete-continuous problem that maximizes sum rate while penalizing handovers and GS overload, using only UAM positions and velocities. To address the combinatorial scheduling problem, we propose GeoSetPPO, a geometry-aware set-attention proximal policy optimization (PPO) method that outputs per-UAM discrete association and subband decisions with permutation-invariant representations. Conditioned on each schedule, GS powers are computed by a per-slot successive convex approximation (SCA) module under per-GS power budgets and minimum signal-to-interference-plus-noise ratio (SINR) constraints. To reduce training cost and improve stability, we adopt a two-stage training strategy that transitions reward evaluation from uniform power to SCA-based power allocation. Simulations demonstrate stable convergence, higher returns than multi-layer perceptron (MLP)- and Transformer-based PPO under the considered training setting, and favorable reward and schedule-feasibility performance relative to algorithm-based and distance-based schedulers. In the larger evaluated network, GeoSetPPO also reduces the scheduling latency from 40.84 ms to 2.90 ms relative to the previous algorithm-based method.","url":"https://doi.org/10.48550/arxiv.2608.17612","authors":["Moon, Hyung-Joo","Park, Sangha","Chae, Chan-Byoung","Heath, Robert W., Jr"],"tags":["Signal Processing (eess.SP)","FOS: Electrical engineering, electronic engineering, information engineering"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.48550/arxiv.2608.17612","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:39.647Z"},{"id":"doi:10.5281/zenodo.20661520","name":"Pour des ZFE-m saines et justes : Anticiper la transition des mobilités (août 2023)","source":"datacite","abstract":"Ce livre blanc a été réalisé par la Fabrique des Mobilités en partenariat avec l'association Respire et Clean Cities Campaign. Il contient : un diagnostic autour de 4 enjeux clés (utilité, disponibilité, équité, organisation), une stratégie en 5 axes et 10 mesures clés, 34 mesures au total, ainsi que de nombreuses ressources : chiffres, visuels, bibliographie, recensement d'une cinquantaine d'idées supplémentaires de mesures... En savoir plus : https://wiki.lafabriquedesmobilites.fr/wiki/Pour_des_ZFE-m_saines_et_justes_-_Anticiper_la_transition_des_mobilit%C3%A9s","url":"https://doi.org/10.5281/zenodo.20661520","authors":["Grandjean, Marguerite"],"tags":["Air quality","Public Health","Public policies","Urban planning","Passenger transport","Sustainable transport","Public transport","Urban mobility"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2023","doi":"10.5281/zenodo.20661520","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:39.647Z"},{"id":"doi:10.5281/zenodo.20661521","name":"Pour des ZFE-m saines et justes : Anticiper la transition des mobilités (août 2023)","source":"datacite","abstract":"Ce livre blanc a été réalisé par la Fabrique des Mobilités en partenariat avec l'association Respire et Clean Cities Campaign. Il contient : un diagnostic autour de 4 enjeux clés (utilité, disponibilité, équité, organisation), une stratégie en 5 axes et 10 mesures clés, 34 mesures au total, ainsi que de nombreuses ressources : chiffres, visuels, bibliographie, recensement d'une cinquantaine d'idées supplémentaires de mesures... En savoir plus : https://wiki.lafabriquedesmobilites.fr/wiki/Pour_des_ZFE-m_saines_et_justes_-_Anticiper_la_transition_des_mobilit%C3%A9s","url":"https://doi.org/10.5281/zenodo.20661521","authors":["Grandjean, Marguerite"],"tags":["Air quality","Public Health","Public policies","Urban planning","Passenger transport","Sustainable transport","Public transport","Urban mobility"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2023","doi":"10.5281/zenodo.20661521","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:39.647Z"},{"id":"doi:10.48550/arxiv.2608.16307","name":"ETA Coordination at UAM Corridor Merging Points Using Worst-Case and Stochastic Trajectory Bounds","source":"datacite","abstract":"We study an Estimated Time of Arrival (ETA)-based traffic-coordination framework for Urban Air Mobility corridors with merging at constrained waypoints (CWPs), where approved ETAs at CWPs serve as Required Times of Arrival (RTAs). Vehicle operators submit ETA plans at the merging point for approval by corridor-management authorities before corridor entry. Corridor entry is then scheduled by enforcing pairwise ETA gaps that maintain inter-vehicle separation on shared corridor sections. We develop two trajectory bounds to compute sufficient ETA gaps: a worst-case bound based on prescribed speed limits, and a stochastic bound based on probabilistic position envelopes under acceleration uncertainty. Using these bounds, we formulate sufficient ETA-gap computation and first-come, first-served corridor entrance scheduling. Simulations show that ETA coordination improves safety over an unscheduled baseline. The worst-case bound provides stronger robustness under higher disturbance levels, whereas the stochastic bound allows higher throughput under mild disturbances while relying on probabilistic modeling assumptions.","url":"https://doi.org/10.48550/arxiv.2608.16307","authors":["Pruekprasert, Sasinee","Nakadai, Shinji","Nishinari, Katsuhiro"],"tags":["Systems and Control (eess.SY)","FOS: Electrical engineering, electronic engineering, information engineering"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.48550/arxiv.2608.16307","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:50.721Z"},{"id":"doi:10.48550/arxiv.2608.14974","name":"Demand-Driven Vertiport Siting and Discrete-Event Fleet Simulation for On-Demand Urban Air Mobility Network Design","source":"datacite","abstract":"This paper presents a demand-driven framework for on-demand Urban Air Mobility (UAM) network design that links vertiport siting, fleet simulation, and door-to-door travel-time feasibility. Demand is estimated from commuter and passenger activity data, converted into spatial trip-end points, and clustered using K-means to generate candidate vertiport locations. Candidate networks are screened using range and minimum station-spacing constraints, then evaluated with a discrete-event simulation that models multi-vehicle dispatch, deadhead relocation, battery swaps, and service regularity. Flight time and energy consumption are computed using a point-mass eVTOL performance model. In a Greater Los Angeles case study, the preferred design expands from four stations and four eVTOLs at low demand to sixteen stations and twelve eVTOLs at the highest tested demand level. Results show that larger fleets improve completion time and vehicle-arrival regularity but do not eliminate deadhead flights, indicating that spatial demand imbalance remains an operational burden. The travel-time savings analysis further suggests that UAM is most defensible for longer or congestion-heavy trips where sufficient non-flight time remains after accounting for flight time.","url":"https://doi.org/10.48550/arxiv.2608.14974","authors":["Saghazadeh, Hossein Z.","Ayalew, Yonas","Ahmari, Reza","Kebria, Parham","Homaifar, Abdollah"],"tags":["Artificial Intelligence (cs.AI)","Systems and Control (eess.SY)","FOS: Computer and information sciences","FOS: Electrical engineering, electronic engineering, information engineering"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.48550/arxiv.2608.14974","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:50.721Z"},{"id":"doi:10.3929/ethz-b-000680076","name":"Optimization of shared on-demand transportation","source":"datacite","abstract":"Nations worldwide are experiencing significant urban growth, with over half of the global population currently residing in cities. This urbanization has increased urban commuting, leading to issues like congestion, air and noise pollution, and threats to public health. Recent years have witnessed a transformation in transportation driven by information technology, introducing innovative mobility solutions to tackle urban mobility challenges. These innovations encompass on-demand and shared mobility services, enhancing transportation efficiency and convenience. The integration of these solutions with public transit holds the potential to revolutionize the entire transportation system. Overcoming these challenges requires a comprehensive evaluation of the advantages and disadvantages of shared mobility services, ensuring a shift toward sustainable mobility in the future. This thesis aims to explore the optimization of on-demand transportation services in urban areas by employing methods in three aspects. The first part of this thesis analyzes historical travel time data from on-demand transport services, like taxis, to gain insights into traffic patterns and estimate arterial travel time precisely. It introduces a novel methodology that uses sparse GPS probe data and considers spatial correlations between network links. This research demonstrates the improved accuracy of travel time estimation by factoring in progressive spatial correlations. A case study in a partial network of New York City, using taxi data, shows enhanced travel time estimation accuracy, benefiting urban traffic optimization and congestion identification. The second part of this thesis centers on optimizing on-demand services with a real-time shuttle ridesharing algorithm. This novel algorithm efficiently matches ride requests to a fleet of vehicles, using a flexible simulation framework that adapts to different scenarios and incorporates real-time traffic data. By focusing on fleet capacities and tolerance times, the study shows that a reduced number of high-capacity taxis, along with optimized operational policies, significantly reduces waiting times and in-car delays for Manhattan taxi rides. The final part of this thesis focuses on developing precise short-term demand forecasting models for on-demand services, with an emphasis on deep learning techniques. It seeks to enhance prediction accuracy, investigate data granularity's impact, explore temporal and spatiotemporal variables, compare the model's performance with traditional and complex machine learning methods, and highlight the benefits of spatiotemporal considerations and vector embedding for improved prediction accuracy. The research presented in this thesis offers valuable implications for both research and practical applications. First, accurate estimates and predictions of travel times for urban links are crucial for optimizing urban traffic operations and identifying traffic congestion points. Providing precise travel time information offers benefits to users and operators by enabling them to choose better paths within the network and reduce overall travel time. Second, the potential of ridesharing services, optimized in real-time with dynamic traffic data, is shown by the proposed modular framework, together with the novel matching algorithm in Chapter 3 . The importance of system parameters and tailored operational policies to improve urban transportation systems gives valuable insight for the design of such services for operators. Moreover, the precise demand prediction can help the operators plan the fleet dispatching more efficiently.","url":"https://doi.org/10.3929/ethz-b-000680076","authors":["Ghandeharioun, Zahra"],"tags":["Optimization algorithms","Operations Research","Transportation"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.3929/ethz-b-000680076","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:39.647Z"},{"id":"doi:10.5281/zenodo.20660286","name":"Impact of Metro Rail Projects on Urban Development","source":"datacite","abstract":"Rapid urbanization and increasing population density have created severe transportation challenges in major cities across the world. Traffic congestion, air pollution, travel delays, and inadequate public transportation systems have significantly affected urban sustainability and economic productivity. Metro rail projects have emerged as one of the most effective mass rapid transit solutions for improving urban mobility and supporting planned urban development. This article presents a comprehensive review of the impact of metro rail projects on urban development, transportation efficiency, economic growth, environmental sustainability, and social transformation. The study examines the influence of metro rail systems on land use patterns, real estate development, employment generation, traffic reduction, environmental quality, and smart city initiatives. Various challenges related to project implementation, financial investment, land acquisition, and operational management are also discussed. The article further highlights the role of modern technologies, transit-oriented development, and integrated urban planning in maximizing the benefits of metro rail systems. The findings indicate that metro rail projects significantly contribute to sustainable urban development by improving transportation infrastructure, reducing congestion, enhancing economic activities, and promoting environmentally responsible urban growth.","url":"https://doi.org/10.5281/zenodo.20660286","authors":["P Abhilash"],"tags":["metro rail, urban development, mass rapid transit, transportation infrastructure, transit-oriented development, smart cities, urban mobility, sustainable transportation, traffic congestion, public transport"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.20660286","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:56.014Z"},{"id":"doi:10.5281/zenodo.20660287","name":"Impact of Metro Rail Projects on Urban Development","source":"datacite","abstract":"Rapid urbanization and increasing population density have created severe transportation challenges in major cities across the world. Traffic congestion, air pollution, travel delays, and inadequate public transportation systems have significantly affected urban sustainability and economic productivity. Metro rail projects have emerged as one of the most effective mass rapid transit solutions for improving urban mobility and supporting planned urban development. This article presents a comprehensive review of the impact of metro rail projects on urban development, transportation efficiency, economic growth, environmental sustainability, and social transformation. The study examines the influence of metro rail systems on land use patterns, real estate development, employment generation, traffic reduction, environmental quality, and smart city initiatives. Various challenges related to project implementation, financial investment, land acquisition, and operational management are also discussed. The article further highlights the role of modern technologies, transit-oriented development, and integrated urban planning in maximizing the benefits of metro rail systems. The findings indicate that metro rail projects significantly contribute to sustainable urban development by improving transportation infrastructure, reducing congestion, enhancing economic activities, and promoting environmentally responsible urban growth.","url":"https://doi.org/10.5281/zenodo.20660287","authors":["P Abhilash"],"tags":["metro rail, urban development, mass rapid transit, transportation infrastructure, transit-oriented development, smart cities, urban mobility, sustainable transportation, traffic congestion, public transport"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.20660287","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:56.014Z"},{"id":"doi:10.5281/zenodo.21337162","name":"Mechs","source":"datacite","abstract":"Warfighter ZxR — Full Design Summary Platform Overview A 10–14 tonne armless bipedal battle mech. Weapons are chassis-integrated rather than hand-held, keeping the silhouette compact and the armour continuous. The design prioritises internal volume for power and compute systems, with agility achieved through advanced materials and AI-coordinated actuation rather than light weight alone. Structure & Armour The cockpit is a steel roll-cage encased in carbon-polymer composite with a copper interlayer, housing laminated ballistic glazing in faceted panels with diamond/ceramic edge inserts. An inner ballistic-fibre and foam cocoon catches fragments and softens secondary impacts. The torso is a carbon-fibre monocoque reinforced with graphene rods. Leg and joint armour uses overlapping shingled panels of steel-face plus carbon-polymer core with copper grounding interlayers, following the same stack logic as the cockpit. Hydro-elastic ringlets — fluid-filled toroidal chambers with carbon-fibre/copper-mesh walls — sit at every major joint, providing impact absorption, rebound elasticity, and vibration damping. They operate in variable-fill mode: fully charged for combat, partially drained to 40% for leaps and sprints to reduce carried mass. Skeleton & Actuation Limb bones are hollow magnesium cores with titanium collars at joint ends and graphene-epoxy sleeves along mid-shafts, saving roughly 15–20% versus full titanium coating. Carbon-fibre leaf spring arches at ankle and knee replace titanium coil springs, storing comparable elastic energy at about 40% of the mass. Primary actuation uses SMA and EAP muscle bundles for sustained load-bearing and fine control, supported by torque amplifier nodes at knees and ankles and micro-polymer joint fill for compliance and friction reduction. Leap pistons sit in parallel with the SMA bundles at hip and knee: composite-wall hydraulic cylinders (80mm bore, 300–350 bar, carbon-fibre wound over steel liner) fed from 8-litre nitrogen-bladder accumulators in the upper thigh bays. Each piston delivers approximately 110 kN, giving the mech leaps of roughly 3–5 metres vertical. The accumulators recharge in 15–20 seconds from the 48V spine. Flowzone pre-drains the ringlets before a commanded leap and recharges them before landing using LiDAR height data. Performance: running at 15–20 m/s, top speed reached in under 3 seconds. Power System The mech runs a 48V spine with multiple OR-tied sources, distributed LC energy-regulation coils along the trunk, and strict separation of high-current burst tubes from low-voltage data and cryo tubes. Sources: Engine 1 — micro-Rankine boiler: ~1.5 kW continuous, hotel loads and slow recharge Engine 2 — main mover: ~100 kW continuous, ~90 kW spare after hotel loads Engine 3 — flight turbine: 1.5 MW continuous, 2.5 MW overboost for under 10 seconds, mechanical thrust primary with auxiliary 48V back-feed via SiC converters Honey-B reactor: 48V LiFePO₄ pack (40–60 Ah, ~8 MJ) plus 400–800F supercaps, deep energy storage Dual torso Bladebreak banks: two 48V 1,000–1,600F capacitor racks (~1.6 MJ each), role-separated — A for weapons, B for mobility, shields, and flight bursts Micro Honey-B nodes: ~2 kW continuous each, located in thighs, knees, feet, arms, and chest — local 48V power islands keeping joints, fins, and sensors alive under spine damage Arm segment buffers: 48V, 300F (~0.35 MJ each) distributed across shoulder junction, upper arm, and bracer — supply arm-local burst loads only; full weapon fire still draws from torso Bladebreak-A Total burst capacity: approximately 6.4 MJ across all banks. Weapons All fire is gated through Frostline OS with CAN-based fire control and strict isolation between weapon and mobility banks. Primary shoulder railgun: 0.5 kg tungsten sabot at ~1,800 m/s, 0.8 MJ kinetic, draws ~1.6 MJ electrical from Bladebreak-A. One shot every ~20 seconds with the 100 kW engine. Effective to ~5 km against hard targets. Secondary coilgun: 0.1 kg slug at ~2,","url":"https://doi.org/10.5281/zenodo.21337162","authors":["lee, francis"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.21337162","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:39.647Z"},{"id":"doi:10.5281/zenodo.18716825","name":"Mechs","source":"datacite","abstract":"Warfighter ZxR — Full Design Summary Platform Overview A 10–14 tonne armless bipedal battle mech. Weapons are chassis-integrated rather than hand-held, keeping the silhouette compact and the armour continuous. The design prioritises internal volume for power and compute systems, with agility achieved through advanced materials and AI-coordinated actuation rather than light weight alone. Structure & Armour The cockpit is a steel roll-cage encased in carbon-polymer composite with a copper interlayer, housing laminated ballistic glazing in faceted panels with diamond/ceramic edge inserts. An inner ballistic-fibre and foam cocoon catches fragments and softens secondary impacts. The torso is a carbon-fibre monocoque reinforced with graphene rods. Leg and joint armour uses overlapping shingled panels of steel-face plus carbon-polymer core with copper grounding interlayers, following the same stack logic as the cockpit. Hydro-elastic ringlets — fluid-filled toroidal chambers with carbon-fibre/copper-mesh walls — sit at every major joint, providing impact absorption, rebound elasticity, and vibration damping. They operate in variable-fill mode: fully charged for combat, partially drained to 40% for leaps and sprints to reduce carried mass. Skeleton & Actuation Limb bones are hollow magnesium cores with titanium collars at joint ends and graphene-epoxy sleeves along mid-shafts, saving roughly 15–20% versus full titanium coating. Carbon-fibre leaf spring arches at ankle and knee replace titanium coil springs, storing comparable elastic energy at about 40% of the mass. Primary actuation uses SMA and EAP muscle bundles for sustained load-bearing and fine control, supported by torque amplifier nodes at knees and ankles and micro-polymer joint fill for compliance and friction reduction. Leap pistons sit in parallel with the SMA bundles at hip and knee: composite-wall hydraulic cylinders (80mm bore, 300–350 bar, carbon-fibre wound over steel liner) fed from 8-litre nitrogen-bladder accumulators in the upper thigh bays. Each piston delivers approximately 110 kN, giving the mech leaps of roughly 3–5 metres vertical. The accumulators recharge in 15–20 seconds from the 48V spine. Flowzone pre-drains the ringlets before a commanded leap and recharges them before landing using LiDAR height data. Performance: running at 15–20 m/s, top speed reached in under 3 seconds. Power System The mech runs a 48V spine with multiple OR-tied sources, distributed LC energy-regulation coils along the trunk, and strict separation of high-current burst tubes from low-voltage data and cryo tubes. Sources: Engine 1 — micro-Rankine boiler: ~1.5 kW continuous, hotel loads and slow recharge Engine 2 — main mover: ~100 kW continuous, ~90 kW spare after hotel loads Engine 3 — flight turbine: 1.5 MW continuous, 2.5 MW overboost for under 10 seconds, mechanical thrust primary with auxiliary 48V back-feed via SiC converters Honey-B reactor: 48V LiFePO₄ pack (40–60 Ah, ~8 MJ) plus 400–800F supercaps, deep energy storage Dual torso Bladebreak banks: two 48V 1,000–1,600F capacitor racks (~1.6 MJ each), role-separated — A for weapons, B for mobility, shields, and flight bursts Micro Honey-B nodes: ~2 kW continuous each, located in thighs, knees, feet, arms, and chest — local 48V power islands keeping joints, fins, and sensors alive under spine damage Arm segment buffers: 48V, 300F (~0.35 MJ each) distributed across shoulder junction, upper arm, and bracer — supply arm-local burst loads only; full weapon fire still draws from torso Bladebreak-A Total burst capacity: approximately 6.4 MJ across all banks. Weapons All fire is gated through Frostline OS with CAN-based fire control and strict isolation between weapon and mobility banks. Primary shoulder railgun: 0.5 kg tungsten sabot at ~1,800 m/s, 0.8 MJ kinetic, draws ~1.6 MJ electrical from Bladebreak-A. One shot every ~20 seconds with the 100 kW engine. Effective to ~5 km against hard targets. Secondary coilgun: 0.1 kg slug at ~2,","url":"https://doi.org/10.5281/zenodo.18716825","authors":["lee, francis"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.18716825","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:39.647Z"},{"id":"doi:10.5281/zenodo.21337065","name":"Mechs","source":"datacite","abstract":"Warfighter ZxR — Full Design Summary Platform Overview A 10–14 tonne armless bipedal battle mech. Weapons are chassis-integrated rather than hand-held, keeping the silhouette compact and the armour continuous. The design prioritises internal volume for power and compute systems, with agility achieved through advanced materials and AI-coordinated actuation rather than light weight alone. Structure & Armour The cockpit is a steel roll-cage encased in carbon-polymer composite with a copper interlayer, housing laminated ballistic glazing in faceted panels with diamond/ceramic edge inserts. An inner ballistic-fibre and foam cocoon catches fragments and softens secondary impacts. The torso is a carbon-fibre monocoque reinforced with graphene rods. Leg and joint armour uses overlapping shingled panels of steel-face plus carbon-polymer core with copper grounding interlayers, following the same stack logic as the cockpit. Hydro-elastic ringlets — fluid-filled toroidal chambers with carbon-fibre/copper-mesh walls — sit at every major joint, providing impact absorption, rebound elasticity, and vibration damping. They operate in variable-fill mode: fully charged for combat, partially drained to 40% for leaps and sprints to reduce carried mass. Skeleton & Actuation Limb bones are hollow magnesium cores with titanium collars at joint ends and graphene-epoxy sleeves along mid-shafts, saving roughly 15–20% versus full titanium coating. Carbon-fibre leaf spring arches at ankle and knee replace titanium coil springs, storing comparable elastic energy at about 40% of the mass. Primary actuation uses SMA and EAP muscle bundles for sustained load-bearing and fine control, supported by torque amplifier nodes at knees and ankles and micro-polymer joint fill for compliance and friction reduction. Leap pistons sit in parallel with the SMA bundles at hip and knee: composite-wall hydraulic cylinders (80mm bore, 300–350 bar, carbon-fibre wound over steel liner) fed from 8-litre nitrogen-bladder accumulators in the upper thigh bays. Each piston delivers approximately 110 kN, giving the mech leaps of roughly 3–5 metres vertical. The accumulators recharge in 15–20 seconds from the 48V spine. Flowzone pre-drains the ringlets before a commanded leap and recharges them before landing using LiDAR height data. Performance: running at 15–20 m/s, top speed reached in under 3 seconds. Power System The mech runs a 48V spine with multiple OR-tied sources, distributed LC energy-regulation coils along the trunk, and strict separation of high-current burst tubes from low-voltage data and cryo tubes. Sources: Engine 1 — micro-Rankine boiler: ~1.5 kW continuous, hotel loads and slow recharge Engine 2 — main mover: ~100 kW continuous, ~90 kW spare after hotel loads Engine 3 — flight turbine: 1.5 MW continuous, 2.5 MW overboost for under 10 seconds, mechanical thrust primary with auxiliary 48V back-feed via SiC converters Honey-B reactor: 48V LiFePO₄ pack (40–60 Ah, ~8 MJ) plus 400–800F supercaps, deep energy storage Dual torso Bladebreak banks: two 48V 1,000–1,600F capacitor racks (~1.6 MJ each), role-separated — A for weapons, B for mobility, shields, and flight bursts Micro Honey-B nodes: ~2 kW continuous each, located in thighs, knees, feet, arms, and chest — local 48V power islands keeping joints, fins, and sensors alive under spine damage Arm segment buffers: 48V, 300F (~0.35 MJ each) distributed across shoulder junction, upper arm, and bracer — supply arm-local burst loads only; full weapon fire still draws from torso Bladebreak-A Total burst capacity: approximately 6.4 MJ across all banks. Weapons All fire is gated through Frostline OS with CAN-based fire control and strict isolation between weapon and mobility banks. Primary shoulder railgun: 0.5 kg tungsten sabot at ~1,800 m/s, 0.8 MJ kinetic, draws ~1.6 MJ electrical from Bladebreak-A. One shot every ~20 seconds with the 100 kW engine. Effective to ~5 km against hard targets. Secondary coilgun: 0.1 kg slug at ~2,","url":"https://doi.org/10.5281/zenodo.21337065","authors":["lee, francis"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.21337065","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:39.647Z"},{"id":"doi:10.5281/zenodo.19604652","name":"SOLID WASTE GENERATION AND MANAGEMENT AT NNAMDI AZIKIWE INTERNATIONAL AIRPORT, ABUJA: A HEALTH IMPACT ASSESSMENT","source":"datacite","abstract":"The rapid expansion of domestic and international mobility, driven by globalization, tourism, and trade, has significantly increased the demand for efficient and sustainable air transport systems. Consequently, the aviation industry has emerged as one of the fastest-growing sectors worldwide. Airports, as critical nodes in the air transport value chain, serve not only as transit hubs but also as complex service environments incorporating commercial, hospitality, and logistics activities. This functional diversification has led to a substantial increase in the volume and complexity of waste generated within airport environments. Effective waste management in airports has therefore become a growing concern, particularly in developing countries where urban sanitation challenges are already pronounced. In Nigeria, for instance, urban environments are often characterized by poor sanitation conditions, with waste generation closely linked to population growth and increased human activity. Airports, due to their high passenger turnover and multifaceted operations, contribute significantly to municipal solid waste streams. These wastes arise from passenger activities, airline operations, food services, retail outlets, and ground handling services. Given the increasing passenger traffic and expansion of airport infrastructure, the management of waste within airport premises has become a critical environmental and public health issue. Poor waste handling practices not only compromise environmental sustainability but also pose potential risks to hygiene, safety, and the overall passenger experience. Furthermore, the integration of modern airport facilities such as shopping complexes, conference centers, and hotels further amplifies waste generation challenges. This study examines the dynamics of waste generation and management within airport environments, with particular emphasis on the implications for environmental sanitation and operational efficiency. It highlights the importance of adopting sustainable waste management strategies that align with global best practices to ensure airports remain safe, clean, and environmentally responsible. The paper underscores the need for improved policy implementation, infrastructure development, and stakeholder collaboration to address the growing waste management challenges associated with modern aviation activities.","url":"https://doi.org/10.5281/zenodo.19604652","authors":["Peterson, Samuel Tunde Adewale"],"tags":["Airport Waste Management; Solid Waste; Aviation Industry; Environmental Sanitation; Sustainability"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.19604652","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:39.647Z"},{"id":"doi:10.5281/zenodo.19604653","name":"SOLID WASTE GENERATION AND MANAGEMENT AT NNAMDI AZIKIWE INTERNATIONAL AIRPORT, ABUJA: A HEALTH IMPACT ASSESSMENT","source":"datacite","abstract":"The rapid expansion of domestic and international mobility, driven by globalization, tourism, and trade, has significantly increased the demand for efficient and sustainable air transport systems. Consequently, the aviation industry has emerged as one of the fastest-growing sectors worldwide. Airports, as critical nodes in the air transport value chain, serve not only as transit hubs but also as complex service environments incorporating commercial, hospitality, and logistics activities. This functional diversification has led to a substantial increase in the volume and complexity of waste generated within airport environments. Effective waste management in airports has therefore become a growing concern, particularly in developing countries where urban sanitation challenges are already pronounced. In Nigeria, for instance, urban environments are often characterized by poor sanitation conditions, with waste generation closely linked to population growth and increased human activity. Airports, due to their high passenger turnover and multifaceted operations, contribute significantly to municipal solid waste streams. These wastes arise from passenger activities, airline operations, food services, retail outlets, and ground handling services. Given the increasing passenger traffic and expansion of airport infrastructure, the management of waste within airport premises has become a critical environmental and public health issue. Poor waste handling practices not only compromise environmental sustainability but also pose potential risks to hygiene, safety, and the overall passenger experience. Furthermore, the integration of modern airport facilities such as shopping complexes, conference centers, and hotels further amplifies waste generation challenges. This study examines the dynamics of waste generation and management within airport environments, with particular emphasis on the implications for environmental sanitation and operational efficiency. It highlights the importance of adopting sustainable waste management strategies that align with global best practices to ensure airports remain safe, clean, and environmentally responsible. The paper underscores the need for improved policy implementation, infrastructure development, and stakeholder collaboration to address the growing waste management challenges associated with modern aviation activities.","url":"https://doi.org/10.5281/zenodo.19604653","authors":["Peterson, Samuel Tunde Adewale"],"tags":["Airport Waste Management; Solid Waste; Aviation Industry; Environmental Sanitation; Sustainability"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.19604653","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:39.647Z"},{"id":"doi:10.5281/zenodo.21192576","name":"Solar Axis Mobility in Public Transportation: A Sustainable Approach to Reducing Urban Air Pollution","source":"datacite","abstract":"Urban air pollution is a growing global concern, primarily driven by the rapid increase in fossil fuel-powered vehicles in densely populated cities. Among various sources of pollution, public transportation systems like buses contribute significantly to carbon emissions and particulate matter, adversely affecting public health and the environment. Traditional diesel and petrol buses not only consume large amounts of non-renewable fossil fuels but also release harmful gases such as carbon dioxide (CO₂), nitrogen oxides (NOₓ), and particulate matter (PM), which exacerbate respiratory diseases and environmental degradation. This issue necessitates urgent development of sustainable and eco-friendly alternatives in urban mobility to mitigate air pollution and its associated hazards.","url":"https://doi.org/10.5281/zenodo.21192576","authors":["Shreyas Parab","Yash Gondhali","Nayan Jagadale","Sujit Sawant"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.21192576","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:39.647Z"},{"id":"doi:10.5281/zenodo.21192577","name":"Solar Axis Mobility in Public Transportation: A Sustainable Approach to Reducing Urban Air Pollution","source":"datacite","abstract":"Urban air pollution is a growing global concern, primarily driven by the rapid increase in fossil fuel-powered vehicles in densely populated cities. Among various sources of pollution, public transportation systems like buses contribute significantly to carbon emissions and particulate matter, adversely affecting public health and the environment. Traditional diesel and petrol buses not only consume large amounts of non-renewable fossil fuels but also release harmful gases such as carbon dioxide (CO₂), nitrogen oxides (NOₓ), and particulate matter (PM), which exacerbate respiratory diseases and environmental degradation. This issue necessitates urgent development of sustainable and eco-friendly alternatives in urban mobility to mitigate air pollution and its associated hazards.","url":"https://doi.org/10.5281/zenodo.21192577","authors":["Shreyas Parab","Yash Gondhali","Nayan Jagadale","Sujit Sawant"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.21192577","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:39.647Z"},{"id":"doi:10.5281/zenodo.20637637","name":"Optimization of Traffic Flow in Urban Areas","source":"datacite","abstract":"Rapid urbanization, increasing energy consumption, environmental degradation, and climate change have intensified the need for sustainable development in the construction industry. Rapid urbanization, population growth, increasing vehicle ownership, and economic development have significantly intensified traffic congestion problems in urban areas worldwide. Inefficient traffic flow leads to increased travel time, fuel consumption, air pollution, road accidents, economic losses, and reduced quality of urban life. Traditional traffic management systems often struggle to efficiently handle growing transportation demand and complex urban mobility patterns. Optimization of traffic flow has therefore become a major focus in transportation engineering and urban planning for improving mobility, sustainability, and operational efficiency in cities. Traffic flow optimization involves application of engineering principles, intelligent transportation systems, data analytics, smart signal control, road network design, and advanced technologies to improve movement of vehicles and pedestrians within urban transportation systems. This article presents a comprehensive review of optimization of traffic flow in urban areas, including traffic engineering principles, congestion management strategies, intelligent transportation systems, public transportation integration, traffic signal optimization, smart mobility technologies, and sustainable urban transportation planning. The study examines applications of artificial intelligence, Internet of Things (IoT), Geographic Information Systems (GIS), machine learning, and real-time traffic monitoring systems in urban traffic management. The findings indicate that optimized traffic flow significantly improves transportation efficiency, reduces congestion, minimizes environmental impacts, enhances road safety, and supports sustainable urban development. The article also discusses implementation challenges, policy frameworks, smart city initiatives, and future trends in intelligent urban mobility systems","url":"https://doi.org/10.5281/zenodo.20637637","authors":["P Abhilash, P"],"tags":["traffic flow optimization, urban transportation, intelligent transportation systems, traffic congestion, smart mobility, traffic engineering, sustainable transportation, urban planning"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.20637637","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:56.014Z"},{"id":"doi:10.5281/zenodo.20637638","name":"Optimization of Traffic Flow in Urban Areas","source":"datacite","abstract":"Rapid urbanization, increasing energy consumption, environmental degradation, and climate change have intensified the need for sustainable development in the construction industry. Rapid urbanization, population growth, increasing vehicle ownership, and economic development have significantly intensified traffic congestion problems in urban areas worldwide. Inefficient traffic flow leads to increased travel time, fuel consumption, air pollution, road accidents, economic losses, and reduced quality of urban life. Traditional traffic management systems often struggle to efficiently handle growing transportation demand and complex urban mobility patterns. Optimization of traffic flow has therefore become a major focus in transportation engineering and urban planning for improving mobility, sustainability, and operational efficiency in cities. Traffic flow optimization involves application of engineering principles, intelligent transportation systems, data analytics, smart signal control, road network design, and advanced technologies to improve movement of vehicles and pedestrians within urban transportation systems. This article presents a comprehensive review of optimization of traffic flow in urban areas, including traffic engineering principles, congestion management strategies, intelligent transportation systems, public transportation integration, traffic signal optimization, smart mobility technologies, and sustainable urban transportation planning. The study examines applications of artificial intelligence, Internet of Things (IoT), Geographic Information Systems (GIS), machine learning, and real-time traffic monitoring systems in urban traffic management. The findings indicate that optimized traffic flow significantly improves transportation efficiency, reduces congestion, minimizes environmental impacts, enhances road safety, and supports sustainable urban development. The article also discusses implementation challenges, policy frameworks, smart city initiatives, and future trends in intelligent urban mobility systems","url":"https://doi.org/10.5281/zenodo.20637638","authors":["P Abhilash, P"],"tags":["traffic flow optimization, urban transportation, intelligent transportation systems, traffic congestion, smart mobility, traffic engineering, sustainable transportation, urban planning"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.20637638","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:56.014Z"},{"id":"doi:10.5281/zenodo.20642755","name":"Smart Parking Systems in Urban Areas","source":"datacite","abstract":"Rapid urbanization, increasing vehicle ownership, population growth, and expansion of commercial activities have significantly intensified parking problems in modern cities worldwide. Conventional parking systems often lead to traffic congestion, fuel wastage, air pollution, inefficient land utilization, driver frustration, and reduced transportation efficiency. Urban areas frequently experience challenges such as illegal parking, insufficient parking spaces, poor parking management, and excessive vehicle circulation in search of available parking spaces. Smart Parking Systems have emerged as advanced technological solutions designed to improve parking efficiency, traffic management, environmental sustainability, and urban mobility through integration of intelligent technologies, automation systems, and real-time monitoring. Smart parking systems utilize technologies such as Internet of Things (IoT), Artificial Intelligence (AI), Geographic Information Systems (GIS), sensors, cloud computing, mobile applications, smart cameras, wireless communication, and digital payment systems for intelligent parking management. This article presents a comprehensive review of Smart Parking Systems in urban areas, including system architecture, parking detection technologies, intelligent parking management, automated payment systems, environmental benefits, and smart city integration. The study examines applications of smart parking in commercial areas, airports, residential complexes, shopping centers, transportation hubs, and smart cities. Modern technologies such as Building Information Modeling (BIM), digital twins, drones, machine learning, autonomous vehicles, and smart transportation systems integrated with parking infrastructure are also discussed. Furthermore, environmental, economic, operational, and social benefits associated with smart parking systems are analyzed along with implementation challenges and future trends. The findings indicate that smart parking systems significantly improve urban mobility, reduce congestion, optimize land utilization, enhance environmental sustainability, and support intelligent transportation infrastructure development.","url":"https://doi.org/10.5281/zenodo.20642755","authors":["P Abhilash"],"tags":["smart parking systems, intelligent parking, urban transportation, IoT, smart cities, parking management, smart mobility, intelligent transportation systems, urban infrastructure, sustainable transportation"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.20642755","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:56.014Z"},{"id":"doi:10.5281/zenodo.20642756","name":"Smart Parking Systems in Urban Areas","source":"datacite","abstract":"Rapid urbanization, increasing vehicle ownership, population growth, and expansion of commercial activities have significantly intensified parking problems in modern cities worldwide. Conventional parking systems often lead to traffic congestion, fuel wastage, air pollution, inefficient land utilization, driver frustration, and reduced transportation efficiency. Urban areas frequently experience challenges such as illegal parking, insufficient parking spaces, poor parking management, and excessive vehicle circulation in search of available parking spaces. Smart Parking Systems have emerged as advanced technological solutions designed to improve parking efficiency, traffic management, environmental sustainability, and urban mobility through integration of intelligent technologies, automation systems, and real-time monitoring. Smart parking systems utilize technologies such as Internet of Things (IoT), Artificial Intelligence (AI), Geographic Information Systems (GIS), sensors, cloud computing, mobile applications, smart cameras, wireless communication, and digital payment systems for intelligent parking management. This article presents a comprehensive review of Smart Parking Systems in urban areas, including system architecture, parking detection technologies, intelligent parking management, automated payment systems, environmental benefits, and smart city integration. The study examines applications of smart parking in commercial areas, airports, residential complexes, shopping centers, transportation hubs, and smart cities. Modern technologies such as Building Information Modeling (BIM), digital twins, drones, machine learning, autonomous vehicles, and smart transportation systems integrated with parking infrastructure are also discussed. Furthermore, environmental, economic, operational, and social benefits associated with smart parking systems are analyzed along with implementation challenges and future trends. The findings indicate that smart parking systems significantly improve urban mobility, reduce congestion, optimize land utilization, enhance environmental sustainability, and support intelligent transportation infrastructure development.","url":"https://doi.org/10.5281/zenodo.20642756","authors":["P Abhilash"],"tags":["smart parking systems, intelligent parking, urban transportation, IoT, smart cities, parking management, smart mobility, intelligent transportation systems, urban infrastructure, sustainable transportation"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.20642756","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:56.014Z"},{"id":"doi:10.5281/zenodo.10475350","name":"DMSP-OLS Nighttime Lights Time Series version 4, Satellite F-18 year 2013: raw average visible band, stable lights average visible band, cloud free coverage data","source":"datacite","abstract":"Version 4 DMSP-OLS Nighttime Lights Time Series. Image and data processing by NOAA's National Geophysical Data Center. DMSP data collected by US Air Force Weather Agency. Contains the raw average visible band and stable lights average visible band, each as a digital number 0-63, cloud-free coverage data (count of nights), and a readme file. Data are in the public domain. Originally from: https://www.ngdc.noaa.gov/eog/data/web_data/v4composites/F182013.v4.tar , accessed 20151211 Described in: Baugh, Kimberly, Christopher D. Elvidge, Tilottama Ghosh, and Daniel Ziskin. 2010. Development of a 2009 stable lights product using dmsp-ols data. In Proceedings of the Asia-Pacific Advanced Network, volume 30. Used in the replication data for: Akbar, Prottoy, Victor Couture, Gilles Duranton, and Adam Storeygard. 2023. \"Mobility and Congestion in Urban India.\" American Economic Review, 113 (4): 1083-1111.","url":"https://doi.org/10.5281/zenodo.10475350","authors":["National Geophysical Data Center, United States National Oceanic and Atmospheric Administration","Akbar, Prottoy","Couture, Victor","DURANTON, GILLES","Storeygard, Adam"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.5281/zenodo.10475350","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:56.014Z"},{"id":"doi:10.5281/zenodo.10475351","name":"DMSP-OLS Nighttime Lights Time Series version 4, Satellite F-18 year 2013: raw average visible band, stable lights average visible band, cloud free coverage data","source":"datacite","abstract":"Version 4 DMSP-OLS Nighttime Lights Time Series. Image and data processing by NOAA's National Geophysical Data Center. DMSP data collected by US Air Force Weather Agency. Contains the raw average visible band and stable lights average visible band, each as a digital number 0-63, cloud-free coverage data (count of nights), and a readme file. Data are in the public domain. Originally from: https://www.ngdc.noaa.gov/eog/data/web_data/v4composites/F182013.v4.tar , accessed 20151211 Described in: Baugh, Kimberly, Christopher D. Elvidge, Tilottama Ghosh, and Daniel Ziskin. 2010. Development of a 2009 stable lights product using dmsp-ols data. In Proceedings of the Asia-Pacific Advanced Network, volume 30. Used in the replication data for: Akbar, Prottoy, Victor Couture, Gilles Duranton, and Adam Storeygard. 2023. \"Mobility and Congestion in Urban India.\" American Economic Review, 113 (4): 1083-1111.","url":"https://doi.org/10.5281/zenodo.10475351","authors":["National Geophysical Data Center, United States National Oceanic and Atmospheric Administration","Akbar, Prottoy","Couture, Victor","DURANTON, GILLES","Storeygard, Adam"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.5281/zenodo.10475351","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:56.014Z"},{"id":"doi:10.5281/zenodo.21285255","name":"Reproducible R Script for Analyzing Transport Mode Choice from an Origin–Destination Survey in Loja, Ecuador","source":"datacite","abstract":"Detailed Description This repository contains a reproducible R script developed to clean, process, analyze, and model origin–destination survey data collected in Loja, Ecuador. The workflow supports the analysis of transport mode choice in an intermediate Latin American city by integrating data cleaning, variable recoding, data-quality assessment, descriptive statistics, bivariate association tests, multinomial logistic regression, binary logistic regression models, Random Forest classification, robustness checks, and SVG figure generation. The script was designed for an Excel workbook derived from an urban origin–destination survey. It detects and standardizes key survey variables, constructs analytical indicators, groups declared transport modes into policy-relevant modal categories, calculates travel duration, assigns origin and destination macro-zones, evaluates data quality, and exports tables, figures, clean data, model objects, software versions, and session information. The main dependent variable is a grouped transport mode indicator derived from the declared main mode of travel. The grouped modal alternatives are private motorized transport, public bus transport, active and micro-mobility, and commercial/other motorized transport. The script also creates binary modal-choice contrasts for private motorized transport versus public bus transport, motorized versus non-motorized/active transport, and more sustainable versus less sustainable transport alternatives. The script generates a complete reproducible workflow for descriptive, explanatory, predictive, and robustness analyses. Outputs include a clean analytical database, descriptive tables, Cramer’s V bivariate association tests, multinomial logistic regression estimates as relative risk ratios, binary logistic regression estimates as odds ratios, Random Forest variable-importance rankings, model-performance summaries, robustness and sensitivity analyses, editable SVG figures, software versions, and complete session information. Short Description for Zenodo This repository provides a reproducible R script for analyzing transport mode choice using an origin–destination survey conducted in Loja, Ecuador. The script performs data cleaning, variable recoding, data-quality assessment, descriptive analysis, bivariate association tests using Cramer’s V, multinomial logistic regression, binary logistic regression, Random Forest classification, robustness checks, and SVG figure generation. The workflow is designed for an Excel survey database with respondent information, geographic coordinates, origin–destination trip attributes, declared transport modes, trip purpose, mobility habits, and preference or environmental perception variables. The script exports a clean analytical database, regression tables, model-performance summaries, robustness outputs, editable SVG figures, software versions, and session information to support reproducibility. Required Input File The script requires an Excel workbook containing the origin–destination survey database. The first sheet of the workbook must contain the survey responses. Each row must represent one survey response, and each column must correspond to one survey question, metadata field, geographic coordinate, or derived form field. Before running the script, the user must update the input file path inside the script so that it points to the location of the Excel database. Required Spreadsheet Structure The input Excel file must contain one row per survey response. The first sheet must include the main origin–destination survey database. The script uses flexible pattern matching to detect variables, but the column names should preserve the main Spanish keywords from the original questionnaire. The dataset should include the following groups of variables. Survey Metadata The spreadsheet should include survey metadata fields related to record identification, start and end time, submission time, validation status, submission status, v","url":"https://doi.org/10.5281/zenodo.21285255","authors":["García-Ramírez, Yasmany"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.21285255","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:39.647Z"},{"id":"doi:10.5281/zenodo.21285256","name":"Reproducible R Script for Analyzing Transport Mode Choice from an Origin–Destination Survey in Loja, Ecuador","source":"datacite","abstract":"Detailed Description This repository contains a reproducible R script developed to clean, process, analyze, and model origin–destination survey data collected in Loja, Ecuador. The workflow supports the analysis of transport mode choice in an intermediate Latin American city by integrating data cleaning, variable recoding, data-quality assessment, descriptive statistics, bivariate association tests, multinomial logistic regression, binary logistic regression models, Random Forest classification, robustness checks, and SVG figure generation. The script was designed for an Excel workbook derived from an urban origin–destination survey. It detects and standardizes key survey variables, constructs analytical indicators, groups declared transport modes into policy-relevant modal categories, calculates travel duration, assigns origin and destination macro-zones, evaluates data quality, and exports tables, figures, clean data, model objects, software versions, and session information. The main dependent variable is a grouped transport mode indicator derived from the declared main mode of travel. The grouped modal alternatives are private motorized transport, public bus transport, active and micro-mobility, and commercial/other motorized transport. The script also creates binary modal-choice contrasts for private motorized transport versus public bus transport, motorized versus non-motorized/active transport, and more sustainable versus less sustainable transport alternatives. The script generates a complete reproducible workflow for descriptive, explanatory, predictive, and robustness analyses. Outputs include a clean analytical database, descriptive tables, Cramer’s V bivariate association tests, multinomial logistic regression estimates as relative risk ratios, binary logistic regression estimates as odds ratios, Random Forest variable-importance rankings, model-performance summaries, robustness and sensitivity analyses, editable SVG figures, software versions, and complete session information. Short Description for Zenodo This repository provides a reproducible R script for analyzing transport mode choice using an origin–destination survey conducted in Loja, Ecuador. The script performs data cleaning, variable recoding, data-quality assessment, descriptive analysis, bivariate association tests using Cramer’s V, multinomial logistic regression, binary logistic regression, Random Forest classification, robustness checks, and SVG figure generation. The workflow is designed for an Excel survey database with respondent information, geographic coordinates, origin–destination trip attributes, declared transport modes, trip purpose, mobility habits, and preference or environmental perception variables. The script exports a clean analytical database, regression tables, model-performance summaries, robustness outputs, editable SVG figures, software versions, and session information to support reproducibility. Required Input File The script requires an Excel workbook containing the origin–destination survey database. The first sheet of the workbook must contain the survey responses. Each row must represent one survey response, and each column must correspond to one survey question, metadata field, geographic coordinate, or derived form field. Before running the script, the user must update the input file path inside the script so that it points to the location of the Excel database. Required Spreadsheet Structure The input Excel file must contain one row per survey response. The first sheet must include the main origin–destination survey database. The script uses flexible pattern matching to detect variables, but the column names should preserve the main Spanish keywords from the original questionnaire. The dataset should include the following groups of variables. Survey Metadata The spreadsheet should include survey metadata fields related to record identification, start and end time, submission time, validation status, submission status, v","url":"https://doi.org/10.5281/zenodo.21285256","authors":["García-Ramírez, Yasmany"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.21285256","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:39.647Z"},{"id":"doi:10.5281/zenodo.20751100","name":"Data Catalog for Paper -> Measuring Local Realities: Addressing Just Urban Sustainability in Colombian Cities","source":"datacite","abstract":"This dataset, contained in the file Catalogo_20260618.csv, compiles key indicators of urban development, sustainability, and quality of life for the main cities in Colombia (Bogotá, Medellín, Cali, Barranquilla, Bucaramanga, and Cartagena). The data is harmonized following a multidimensional framework inspired by global urban measurement methodologies (such as the City Prosperity Index). The catalog consolidates 583 records covering 5 critical dimensions of urban development: Productivity (P): Economic strength, variables such as GDP per capita, economic density, and unemployment/informality rates. Infrastructure Development (ID): Access to public services (water, sanitation, electricity), adequate housing, digital connectivity, and urban transport/mobility variables. Quality of Life (QOL): Health (life expectancy, mortality), education (literacy, schooling), safety (homicide and theft rates), and access to green public areas. Equity and Social Inclusion (ESI): Gini coefficient, poverty rates, youth unemployment, and gender equity in local government and the workforce. Environmental Sustainability (ES): Air quality ($PM_{10}$, $PM_{2.5}$, $SO_2$, $NO_2$ concentrations) and waste management (collection, wastewater treatment, and recycling share). Each record includes the specific metric, city, quantitative value, units of measurement, reference year, and web links (URL) to official primary information sources (such as DANE, ministries, and sector-specific databases). This open-access resource is designed for researchers, urban planners, policymakers, and citizens interested in comparative analysis, temporal evolution, and evidence-based policymaking within the Colombian urban context. Please use the following for data load. sep=';', encoding='latin1'","url":"https://doi.org/10.5281/zenodo.20751100","authors":["Cardenas Ardila, Laura Milena","Lotero, Laura","Castillo Grisales, Julian Andres","Ortega`, Cristian","Jimenez, Maritza"],"tags":["Urban Prosperity","Colombia","City Indicators","Sustainable Development Goals (SDGs)","Urban Planning"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.20751100","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:39.647Z"},{"id":"doi:10.5281/zenodo.20751101","name":"Data Catalog for Paper -> Measuring Local Realities: Addressing Just Urban Sustainability in Colombian Cities","source":"datacite","abstract":"This dataset, contained in the file Catalogo_20260618.csv, compiles key indicators of urban development, sustainability, and quality of life for the main cities in Colombia (Bogotá, Medellín, Cali, Barranquilla, Bucaramanga, and Cartagena). The data is harmonized following a multidimensional framework inspired by global urban measurement methodologies (such as the City Prosperity Index). The catalog consolidates 583 records covering 5 critical dimensions of urban development: Productivity (P): Economic strength, variables such as GDP per capita, economic density, and unemployment/informality rates. Infrastructure Development (ID): Access to public services (water, sanitation, electricity), adequate housing, digital connectivity, and urban transport/mobility variables. Quality of Life (QOL): Health (life expectancy, mortality), education (literacy, schooling), safety (homicide and theft rates), and access to green public areas. Equity and Social Inclusion (ESI): Gini coefficient, poverty rates, youth unemployment, and gender equity in local government and the workforce. Environmental Sustainability (ES): Air quality ($PM_{10}$, $PM_{2.5}$, $SO_2$, $NO_2$ concentrations) and waste management (collection, wastewater treatment, and recycling share). Each record includes the specific metric, city, quantitative value, units of measurement, reference year, and web links (URL) to official primary information sources (such as DANE, ministries, and sector-specific databases). This open-access resource is designed for researchers, urban planners, policymakers, and citizens interested in comparative analysis, temporal evolution, and evidence-based policymaking within the Colombian urban context. Please use the following for data load. sep=';', encoding='latin1'","url":"https://doi.org/10.5281/zenodo.20751101","authors":["Cardenas Ardila, Laura Milena","Lotero, Laura","Castillo Grisales, Julian Andres","Ortega`, Cristian","Jimenez, Maritza"],"tags":["Urban Prosperity","Colombia","City Indicators","Sustainable Development Goals (SDGs)","Urban Planning"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.20751101","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:39.647Z"},{"id":"doi:10.82229/jahe.2026.1239372","name":"The Role of Urban Air Terminals in Achieving Smart City Objectives: A Future Study Approach, Case Study: Isfahan City","source":"datacite","abstract":"در دهه‌های اخیر، با گسترش سریع و فزاینده شهرهای بزرگ و افزایش فشار بر سیستم‌های حمل‌ونقل سنتی، نیاز به بهره‌گیری از روش‌ها و فناوری‌های نوین و پیشرفته در حوزه حمل‌ونقل شهری بیش از پیش احساس می‌شود. هدف از این تحول، کاهش آلاینده‌های زیست‌محیطی و کوتاه‌تر کردن زمان سفرها است. هرچند، برای عملیاتی کردن این سیستم‌های حمل‌ونقل پیشرفته در مقیاس شهری، لازم است پارادایم طراحی و برنامه‌ریزی شهری تغییر یافته و مسیر هوشمندسازی جامع و کامل را در پیش گیرد. بر همین اساس، هدف اصلی این پژوهش، تحلیل امکان‌سنجی و تدوین راهبردهای عملی در طراحی پایانه‌های هوایی شهری پایدار و آینده‌نگر است، تا تحقق اهداف شهرهای هوشمند تسریع گردد. روش تحقیق در این مطالعه ترکیبی از رویکردهای توصیفی-تحلیلی و پیمایشی است که بر تحلیل اسنادی و همچنین استفاده از پرسشنامه‌های تخصصی استوار است. فرآیند پژوهش شامل مطالعات اسنادی برای شناسایی عوامل کلیدی، تنظیم ماتریس سوات، توزیع پرسشنامه و در نهایت، سناریونویسی آینده‌پژوهانه بر اساس تلفیق نتایج سوات و تحلیل‌های آماری می‌شود. نتایج تحلیل‌های مدل معادلات ساختاری با برازش مناسب تأیید شده است. همچنین، آزمون تی نشان داد که تمامی مؤلفه‌ها از نظر اهمیت و تأثیر نسبی، در سطح نسبتاً مطلوبی قرار دارند. تحلیل فریدمن اولویت‌بندی‌ها نشان داد که عوامل «حکمرانی» و «حمل‌ونقل» در مراحل بعدی قرار دارند و فرصت‌های شهر هوشمند نسبت به تهدیدها برتری دارند. بر اساس یافته‌ها، سناریوی بهینه در بازه زمانی ۱۴۰۵-۱۴۱۰، پایانه اصفهان را به الگویی بومی و هوشمند تبدیل می‌کند که در آن، حجم مسافران تا ۳۰ درصد رشد می‌کند و کربن صفر به دست می‌آید. پیشنهادهای کلیدی برای طراحی فضا شامل ایجاد ایوان دیجیتال مشارکتی، راه‌اندازی هاب اینترنت اشیاء در شبکه ریلی و استفاده از بادگیرهای خورشیدی است؛ که در پایان به‌صورت تفصیلی شرح داده شده است.","url":"https://doi.org/10.82229/jahe.2026.1239372","authors":["Alireza Jabarizadegan","Razieh Labibzadeh","مه تیام شهبازی"],"tags":["Urban air terminal","urban air mobility","smart city","future studies","Isfahan city."],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.82229/jahe.2026.1239372","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:39.647Z"},{"id":"doi:10.5281/zenodo.20716162","name":"Supplemental Materials for \"Planning-Oriented Suitability Assessment of Passenger Vertiport Candidate Sites: Ground-Based and Rooftop Screening in Jianye, Nanjing\"","source":"datacite","abstract":"This record contains the supplemental materials for the manuscript entitled \"Planning-Oriented Suitability Assessment of Passenger Vertiport Candidate Sites: Ground-Based and Rooftop Screening in Jianye, Nanjing.\" The supplemental materials include the group judgment matrices for AHP-based weighting and detailed scenario-level sensitivity analysis results for rooftop and ground-based candidate sites.","url":"https://doi.org/10.5281/zenodo.20716162","authors":["Wang, Kaiying","Wang, Luyao","Liao, Mingjun"],"tags":["Urban Air Mobility","passenger vertiport","candidate-site screening","GIS-AHP","rooftop candidate sites","ground-based candidate sites","sensitivity analysis","Jianye District"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.20716162","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:39.647Z"},{"id":"doi:10.5281/zenodo.20716163","name":"Supplemental Materials for \"Planning-Oriented Suitability Assessment of Passenger Vertiport Candidate Sites: Ground-Based and Rooftop Screening in Jianye, Nanjing\"","source":"datacite","abstract":"This record contains the supplemental materials for the manuscript entitled \"Planning-Oriented Suitability Assessment of Passenger Vertiport Candidate Sites: Ground-Based and Rooftop Screening in Jianye, Nanjing.\" The supplemental materials include the group judgment matrices for AHP-based weighting and detailed scenario-level sensitivity analysis results for rooftop and ground-based candidate sites.","url":"https://doi.org/10.5281/zenodo.20716163","authors":["Wang, Kaiying","Wang, Luyao","Liao, Mingjun"],"tags":["Urban Air Mobility","passenger vertiport","candidate-site screening","GIS-AHP","rooftop candidate sites","ground-based candidate sites","sensitivity analysis","Jianye District"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.20716163","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:39.647Z"},{"id":"doi:10.5281/zenodo.20025515","name":"GeoSOT-3D TSDP: Reference implementation of Terrain-Semantic Dual-driven Partitioning under the GeoSOT-3D global grid","source":"datacite","abstract":"Reference implementation of TSDP (Terrain-Semantic Dual-driven Partitioning), an adaptive spatial partitioning framework that integrates the GeoSOT-3D global discrete grid with semantically-driven adaptive mesh refinement for low-altitude airspace modelling. This software accompanies the manuscript: Wang, Q., Liu, Z. & Zhao, N. (2026). Adaptive spatial partitioning under the GeoSOT-3D global grid for efficient low-altitude environment modeling. Scientific Reports (under review). What this repository provides tsdp/: core algorithm package (decision function Φ(V), per-voxel terrain roughness R(V) and semantic importance S(V), TS-AdaptiveSubdivide algorithm with top-down subdivision and bottom-up sibling merging, KD-Tree adjacency, A* path-cost function) experiments/: reproducibility scripts for the synthetic 5×5 km benchmark (Table 2 of the paper) and the real-world Xi'an district experiment (Table 3) figures/: scripts that regenerate every figure and supplementary figure from experiment outputs data/: download scripts and provenance metadata for the public datasets used (ASTER GDEM V3, OpenStreetMap, eAIP/DJI FlySafe airspace) tests/: 29 unit tests covering the core algorithm Full documentation in README.md Reproducibility All datasets used are publicly available; download scripts fetch directly from the original providers. Synthetic terrain is regenerated deterministically from a fixed seed (20260101). Statistical analyses (Shapiro–Wilk normality + Wilcoxon signed-rank significance tests) are implemented in experiments/stats.py. Known limitations The current implementation is a horizontal-plane quadtree under GeoSOT-3D; a full octree extension to volumetric 3D partitioning is on the roadmap. A subset of experiment helper functions and figure-generation scripts contain NotImplementedError placeholders that will be filled in subsequent releases. License: MIT (see LICENSE). Contact: Ningshe Zhao — zhaoningshe@gmail.com","url":"https://doi.org/10.5281/zenodo.20025515","authors":["Wang, Qiurong","Liu, Zhiyong","Zhao, Ningshe"],"tags":["GeoSOT-3D","discrete global grid system","adaptive mesh refinement","low-altitude airspace","path planning","spatial partitioning","urban air mobility","voxel modelling"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.20025515","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:57.705Z"},{"id":"doi:10.5281/zenodo.20025514","name":"GeoSOT-3D TSDP: Reference implementation of Terrain-Semantic Dual-driven Partitioning under the GeoSOT-3D global grid","source":"datacite","abstract":"Reference implementation of TSDP (Terrain-Semantic Dual-driven Partitioning), an adaptive spatial partitioning framework that integrates the GeoSOT-3D global discrete grid with semantically-driven adaptive mesh refinement for low-altitude airspace modelling. This software accompanies the manuscript:Wang, Q., Liu, Z. & Zhao, N. (2026). Adaptive spatial partitioning under the GeoSOT-3D global grid for efficient low-altitude environment modelling. Scientific Reports (under review). Version 2.0.0 accompanies the peer-review revision and supersedes v1: the placeholder functions disclosed in v1 are now fully implemented, and this version reproduces every quantitative result in the revised manuscript. What this repository provides tsdp/: core algorithm package (decision function Φ(V), per-voxel terrain roughness R(V) — least-squares gradient and quadric curvature fits, Eq. 2 — and semantic importance S(V) with the boundary-occupancy indicator Ok, TS-AdaptiveSubdivide with top-down subdivision and bottom-up sibling merging, KD-Tree adjacency, A* path-cost function) experiments_new/: the revision experiments — τ knee-protocol selection (b0), parameter sensitivity and expert weighting schemes (b1), module ablation including the depth-penalty term (b2), semantic-accuracy metrics beyond F1 (b3), a volumetric octree benchmark (b4), and a paired, resolution-controlled safety analysis (b5) — plus figure-generation scripts for Figs. 2–5 results_v6/: reference outputs (18 CSV files) underlying Tables 2–3 and Figures 2–5 of the revised manuscript, for direct verification experiments/, figures/: the original experiment scaffolding and figure code retained from v1 data/: download scripts and provenance metadata for the public datasets used (ASTER GDEM V3, OpenStreetMap, eAIP/DJI FlySafe airspace) tests/: unit tests covering the core algorithm Full documentation, including the complete reproduction command sequence, in README.md Reproducibility All datasets used are publicly available; download scripts fetch directly from the original providers. Synthetic terrain is regenerated deterministically from a fixed seed (20260101); all experiments use fixed per-repetition seeds over a 30-repetition protocol with Shapiro–Wilk normality and Wilcoxon signed-rank tests. Per-scene subdivision thresholds follow the documented knee protocol (TSDP_TAU=0.40 synthetic / 0.50 Xi'an) and the τ actually applied is recorded in every result row. Pre-processing of the Xi'an ASTER GDEM tile (masking of 1,693 marginal nodata cells) is documented and automated. The full change log from v1 is in experiments_new/CHANGES_FIXED.md. Known limitations The current implementation is a horizontal-plane quadtree under GeoSOT-3D; v2 adds a volumetric octree benchmark for comparison, while a native GeoSOT-3D octree mode remains on the roadmap. License: MIT (see LICENSE).Contact: Ningshe Zhao — zhaoningshe@gmail.com","url":"https://doi.org/10.5281/zenodo.20025514","authors":["Wang, Qiurong","Liu, Zhiyong","Zhao, Ningshe"],"tags":["GeoSOT-3D","discrete global grid system","adaptive mesh refinement","low-altitude airspace","path planning","spatial partitioning","urban air mobility","voxel modelling"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.20025514","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:57.705Z"},{"id":"doi:10.5281/zenodo.21287613","name":"GeoSOT-3D TSDP: Reference implementation of Terrain-Semantic Dual-driven Partitioning under the GeoSOT-3D global grid","source":"datacite","abstract":"Reference implementation of TSDP (Terrain-Semantic Dual-driven Partitioning), an adaptive spatial partitioning framework that integrates the GeoSOT-3D global discrete grid with semantically-driven adaptive mesh refinement for low-altitude airspace modelling. This software accompanies the manuscript:Wang, Q., Liu, Z. & Zhao, N. (2026). Adaptive spatial partitioning under the GeoSOT-3D global grid for efficient low-altitude environment modelling. Scientific Reports (under review). Version 2.0.0 accompanies the peer-review revision and supersedes v1: the placeholder functions disclosed in v1 are now fully implemented, and this version reproduces every quantitative result in the revised manuscript. What this repository provides tsdp/: core algorithm package (decision function Φ(V), per-voxel terrain roughness R(V) — least-squares gradient and quadric curvature fits, Eq. 2 — and semantic importance S(V) with the boundary-occupancy indicator Ok, TS-AdaptiveSubdivide with top-down subdivision and bottom-up sibling merging, KD-Tree adjacency, A* path-cost function) experiments_new/: the revision experiments — τ knee-protocol selection (b0), parameter sensitivity and expert weighting schemes (b1), module ablation including the depth-penalty term (b2), semantic-accuracy metrics beyond F1 (b3), a volumetric octree benchmark (b4), and a paired, resolution-controlled safety analysis (b5) — plus figure-generation scripts for Figs. 2–5 results_v6/: reference outputs (18 CSV files) underlying Tables 2–3 and Figures 2–5 of the revised manuscript, for direct verification experiments/, figures/: the original experiment scaffolding and figure code retained from v1 data/: download scripts and provenance metadata for the public datasets used (ASTER GDEM V3, OpenStreetMap, eAIP/DJI FlySafe airspace) tests/: unit tests covering the core algorithm Full documentation, including the complete reproduction command sequence, in README.md Reproducibility All datasets used are publicly available; download scripts fetch directly from the original providers. Synthetic terrain is regenerated deterministically from a fixed seed (20260101); all experiments use fixed per-repetition seeds over a 30-repetition protocol with Shapiro–Wilk normality and Wilcoxon signed-rank tests. Per-scene subdivision thresholds follow the documented knee protocol (TSDP_TAU=0.40 synthetic / 0.50 Xi'an) and the τ actually applied is recorded in every result row. Pre-processing of the Xi'an ASTER GDEM tile (masking of 1,693 marginal nodata cells) is documented and automated. The full change log from v1 is in experiments_new/CHANGES_FIXED.md. Known limitations The current implementation is a horizontal-plane quadtree under GeoSOT-3D; v2 adds a volumetric octree benchmark for comparison, while a native GeoSOT-3D octree mode remains on the roadmap. License: MIT (see LICENSE).Contact: Ningshe Zhao — zhaoningshe@gmail.com","url":"https://doi.org/10.5281/zenodo.21287613","authors":["Wang, Qiurong","Liu, Zhiyong","Zhao, Ningshe"],"tags":["GeoSOT-3D","discrete global grid system","adaptive mesh refinement","low-altitude airspace","path planning","spatial partitioning","urban air mobility","voxel modelling"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.21287613","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:57.705Z"},{"id":"doi:10.6084/m9.figshare.29038997","name":"Field evaluation of low-cost particulate matter (PM) sensor instruments in indoor and outdoor environments: A university lecture hall and urban southeastern United States","source":"datacite","abstract":"The increasing use of low-cost particulate matter (PM) sensors for air quality monitoring highlights the importance of understanding their performance across different environments. This study evaluated the performance of three low-cost sensor instruments—PurpleAir Plantower PMS5003 (PMS), Alphasense OPC-N3 (OPC-N3), and QuantAQ MODULAIR-PM—in indoor (university lecture hall) and outdoor (urban Atlanta) settings, focusing on measurements of PM 1 , PM 2.5 , and PM 10 . Reference data were obtained from a Scanning Mobility Particle Sizer (SMPS), an Aerosol Chemical Speciation Monitor (ACSM), and EPA monitoring sites. The PMS underreported PM 10 compared to the MODULAIR-PM when the coarse fraction exceeded 0.4. Regarding PM 1 , which accounted for the majority of PM 2.5 , PMS agreed with SMPS outdoors but underreported PM 1 by up to 60% at low concentrations (PM 1 &lt; 2.5 µg/m 3 ), which was the majority of measurements in the lecture hall. An alternative correction factor improved PMS accuracy in clean environments but heavily depended on calibration (calibration factors varied from 2 to 7). The OPC-N3 struggled to detect particles &lt;350 nm but detected coarse particles missed by the PMS. The MODULAIR-PM combined strengths of both sensors, aligning with EPA references. While there were no consistent trends between relative humidity (RH) and low-cost instrument performance, we clearly demonstrated a correlation between aerosol liquid water content and low-cost sensor instrument bias. This study underscores the continuing need for developing and testing comprehensive and adjustable correction models that account for aerosol composition, particularly liquid water content. Our results emphasize the importance of considering particle size distribution, mass concentration, and chemical composition when selecting specific low-cost sensors to use and interpreting the corresponding data. Copyright © 2025 American Association for Aerosol Research","url":"https://doi.org/10.6084/m9.figshare.29038997","authors":["Sabrina Westgate","Zahra Shivji","Laura Hyesung Yang","Jean C. Rivera-Rios","Nga L. Ng"],"tags":["Space Science","Biotechnology","Environmental Sciences not elsewhere classified","Chemical Sciences not elsewhere classified","Ecology","Sociology","Science Policy"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.6084/m9.figshare.29038997","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:52.013Z"},{"id":"doi:10.6084/m9.figshare.29038997.v1","name":"Field evaluation of low-cost particulate matter (PM) sensor instruments in indoor and outdoor environments: A university lecture hall and urban southeastern United States","source":"datacite","abstract":"The increasing use of low-cost particulate matter (PM) sensors for air quality monitoring highlights the importance of understanding their performance across different environments. This study evaluated the performance of three low-cost sensor instruments—PurpleAir Plantower PMS5003 (PMS), Alphasense OPC-N3 (OPC-N3), and QuantAQ MODULAIR-PM—in indoor (university lecture hall) and outdoor (urban Atlanta) settings, focusing on measurements of PM 1 , PM 2.5 , and PM 10 . Reference data were obtained from a Scanning Mobility Particle Sizer (SMPS), an Aerosol Chemical Speciation Monitor (ACSM), and EPA monitoring sites. The PMS underreported PM 10 compared to the MODULAIR-PM when the coarse fraction exceeded 0.4. Regarding PM 1 , which accounted for the majority of PM 2.5 , PMS agreed with SMPS outdoors but underreported PM 1 by up to 60% at low concentrations (PM 1 &lt; 2.5 µg/m 3 ), which was the majority of measurements in the lecture hall. An alternative correction factor improved PMS accuracy in clean environments but heavily depended on calibration (calibration factors varied from 2 to 7). The OPC-N3 struggled to detect particles &lt;350 nm but detected coarse particles missed by the PMS. The MODULAIR-PM combined strengths of both sensors, aligning with EPA references. While there were no consistent trends between relative humidity (RH) and low-cost instrument performance, we clearly demonstrated a correlation between aerosol liquid water content and low-cost sensor instrument bias. This study underscores the continuing need for developing and testing comprehensive and adjustable correction models that account for aerosol composition, particularly liquid water content. Our results emphasize the importance of considering particle size distribution, mass concentration, and chemical composition when selecting specific low-cost sensors to use and interpreting the corresponding data. Copyright © 2025 American Association for Aerosol Research","url":"https://doi.org/10.6084/m9.figshare.29038997.v1","authors":["Sabrina Westgate","Zahra Shivji","Laura Hyesung Yang","Jean C. Rivera-Rios","Nga L. Ng"],"tags":["Space Science","Biotechnology","Environmental Sciences not elsewhere classified","Chemical Sciences not elsewhere classified","Ecology","Sociology","Science Policy"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.6084/m9.figshare.29038997.v1","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:52.013Z"},{"id":"doi:10.34657/39840","name":"Verbundvorhaben: 6G-SKY - 6G for connected sky","source":"datacite","abstract":"Das Projekt „6G-SKY“ adressierte die Konzeption fortschrittlicher, adaptiver Netzwerkarchitekturen zur zuverlässigen Anbindung von Luft- und Bodenanwendern. Durch die Integration von Satelliten, hochfliegenden Plattformen (HAPS) und direkter Luft-zu-Boden-Kommunikation (DA2GC) wurden zentrale Anwendungsfelder wie Urban Air Mobility und ländliche Breitbandversorgung unterstützt. Ergänzend wurden Innovationen in Funktechnologien, 3D-Netzwerkmanagement vorangetrieben, um den vielfältigen Anforderungen fliegender und terrestrischer Nutzer gerecht zu werden. Als besonderes Highlight gilt die finale Demonstration der Multi-Path und Multi-Hop-Konnektivität über Mesh-WiFi-, 5G und NTN-Verbindungen für die Luftanwender – UAVs / Drohnen. Die partnerschaftliche Zusammenarbeit mit europäischen Organisationen ermöglichte eine kohärente, belastbare Systemkonzeption, eine fundierte technische Validierung sowie die Vorbereitung und Durchführung Echtzeit-Demonstrationen. Die Ergebnisse schaffen die Grundlage für die nächste Phase der Technologievalidierung, für industriegetriebene Skalierung sowie für Beiträge zu Standardisierung und Regulierung im kombinierten Airspace- und NTN-Raum. Zusammenfassend hat 6G-SKY die im deutschen Projektantrag definierten Ziele im Rahmen des europäischen Celtic-Projekts erfüllt. Die Zielerreichung ist in insgesamt 16 Celtic-Deliverables des europäischen Konsortiums beschrieben. Nachhaltigkeit war ein Kernelement unserer Berichten, - in allen 6G-SKY-Deliverables ist ein eigener Abschnitt zur Nachhaltigkeit enthalten.","url":"https://doi.org/10.34657/39840","authors":["Kolb, Julia","Heyn, Thomas","Graevendieck, Jan","Holis, Jaroslav","Gabriel, Frank","Hörmann, Bruno","Schupke, Dominic"],"tags":["600 | Technik","NTN","Satellit","6G","Urban Air Mobility","SKY"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.34657/39840","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:39.647Z"},{"id":"doi:10.5281/zenodo.19947970","name":"ROLE OF EMERGING TECHNOLOGY IN TRANSFORMING URBAN PUBLIC TRANSPORT:  REFERENCE FROM MUMBAI","source":"datacite","abstract":"In heavily populated metropolitan areas like Mumbai, urban mobility is an essential feature of sustainable city growth. In order to increase the effectiveness and appeal of public transportation systems, politicians and transportation authorities have been forced to implement cutting-edge technical solutions due to the rapid urbanization, traffic congestion, and growing environmental concerns. The urban public transportation ecosystem is changing more and more as a result of emerging technologies including digital ticketing platforms, integrated mobility applications, intelligent transportation systems, and sophisticated communication infrastructure. For example, the implementation of WhatsApp-based ticket booking systems, unified mobility apps, and QR-code ticketing has streamlined ticket purchases and decreased passenger wait times, improving customer accessibility and convenience. This study looks at how new technologies are changing Mumbai's urban public transportation system and assesses how these developments affect commuter satisfaction, operational effectiveness, and sustainable urban mobility. The study is based on secondary data about metro rail, bus services, and integrated mobility efforts in the Mumbai Metropolitan Region that was gathered from government reports, publications from transport authorities, scholarly works, and industry sources. In order to support smooth and effective transportation services, the study specifically examines technology interventions such unified ticketing platforms, real-time passenger information systems, intelligent signalling systems, and smart fare collecting techniques. The results indicate that technology-driven mobility solutions are important for enhancing service dependability, cutting down on travel time, and promoting the use of public transportation. By facilitating multimodal connection and streamlining travel planning, integrated digital solutions encourage a move away from the use of private vehicles. Additionally, by encouraging increased ridership and lowering emissions associated with transportation, technology advancements assist environmental sustainability. Improved public transportation infrastructure and technology integration can significantly lower carbon emissions and improve urban air quality, according to studies on metro extension in the Mumbai region. The study comes to the conclusion that smart and sustainable urban mobility systems are made possible by developing technology. The adoption of public transportation in urban areas can be greatly increased by bolstering digital infrastructure, including multimodal transportation platforms, and growing technology-driven services. In Mumbai and other quickly expanding cities, the research's conclusions may help politicians, urban planners, and transportation authorities create technology-enabled transportation plans that promote sustainable urban development and enhance the commuter experience.","url":"https://doi.org/10.5281/zenodo.19947970","authors":["Ms.Aarti R Vyas b and Dr. Prashant Vijaysing Patil"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.19947970","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:39.647Z"},{"id":"doi:10.5281/zenodo.19947971","name":"ROLE OF EMERGING TECHNOLOGY IN TRANSFORMING URBAN PUBLIC TRANSPORT:  REFERENCE FROM MUMBAI","source":"datacite","abstract":"In heavily populated metropolitan areas like Mumbai, urban mobility is an essential feature of sustainable city growth. In order to increase the effectiveness and appeal of public transportation systems, politicians and transportation authorities have been forced to implement cutting-edge technical solutions due to the rapid urbanization, traffic congestion, and growing environmental concerns. The urban public transportation ecosystem is changing more and more as a result of emerging technologies including digital ticketing platforms, integrated mobility applications, intelligent transportation systems, and sophisticated communication infrastructure. For example, the implementation of WhatsApp-based ticket booking systems, unified mobility apps, and QR-code ticketing has streamlined ticket purchases and decreased passenger wait times, improving customer accessibility and convenience. This study looks at how new technologies are changing Mumbai's urban public transportation system and assesses how these developments affect commuter satisfaction, operational effectiveness, and sustainable urban mobility. The study is based on secondary data about metro rail, bus services, and integrated mobility efforts in the Mumbai Metropolitan Region that was gathered from government reports, publications from transport authorities, scholarly works, and industry sources. In order to support smooth and effective transportation services, the study specifically examines technology interventions such unified ticketing platforms, real-time passenger information systems, intelligent signalling systems, and smart fare collecting techniques. The results indicate that technology-driven mobility solutions are important for enhancing service dependability, cutting down on travel time, and promoting the use of public transportation. By facilitating multimodal connection and streamlining travel planning, integrated digital solutions encourage a move away from the use of private vehicles. Additionally, by encouraging increased ridership and lowering emissions associated with transportation, technology advancements assist environmental sustainability. Improved public transportation infrastructure and technology integration can significantly lower carbon emissions and improve urban air quality, according to studies on metro extension in the Mumbai region. The study comes to the conclusion that smart and sustainable urban mobility systems are made possible by developing technology. The adoption of public transportation in urban areas can be greatly increased by bolstering digital infrastructure, including multimodal transportation platforms, and growing technology-driven services. In Mumbai and other quickly expanding cities, the research's conclusions may help politicians, urban planners, and transportation authorities create technology-enabled transportation plans that promote sustainable urban development and enhance the commuter experience.","url":"https://doi.org/10.5281/zenodo.19947971","authors":["Ms.Aarti R Vyas b and Dr. Prashant Vijaysing Patil"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.19947971","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:39.647Z"},{"id":"doi:10.21203/rs.3.rs-10471213/v1","name":"Association between first trimester ambient temperature and the risk of gestational hypertension and pre-eclampsia: Insights from the PRECISE study cohort in The Gambia, Kenya and Mozambique","source":"europepmc","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-10471213/v1","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.21203/rs.3.rs-10471213/v1","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:57.842Z"},{"id":"doi:10.21203/rs.3.rs-8407901/v1","name":"Promoting sustainable travel decisions through health and active lifestyle messaging","source":"europepmc","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-8407901/v1","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.21203/rs.3.rs-8407901/v1","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:52.485Z"},{"id":"doi:10.1101/2025.11.05.25339564","name":"Two-Stage Bayesian Factor Analysis for Air Pollution Source Apportionment and Health Risk Assessment","source":"europepmc","abstract":"","url":"https://doi.org/10.1101/2025.11.05.25339564","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.1101/2025.11.05.25339564","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:57.842Z"},{"id":"doi:10.21203/rs.3.rs-7548687/v1","name":"A sustainable transition to electric minibus taxis in Cape Town’s paratransit","source":"europepmc","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-7548687/v1","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.21203/rs.3.rs-7548687/v1","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:54.186Z"},{"id":"doi:10.21203/rs.3.rs-7636974/v1","name":"Unraveling nonlinear impacts of seasonal climate and built environments on exercise walking in high- density cities via a modified machine learning approach","source":"europepmc","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-7636974/v1","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.21203/rs.3.rs-7636974/v1","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:54.186Z"},{"id":"doi:10.1101/2025.06.23.25330139","name":"UNVEILING URBAN AIR QUALITY SEASONAL DYNAMICS IN SAN MIGUEL DE TUCUMÁN, ARGENTINA, BY SCANNING ELECTRON MICROSCOPY","source":"europepmc","abstract":"","url":"https://doi.org/10.1101/2025.06.23.25330139","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.1101/2025.06.23.25330139","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:54.186Z"},{"id":"doi:10.21203/rs.3.rs-8332823/v1","name":"Research on Overall Conceptual Design and Multiphysics Coupling Characteristics of All-Electric Turbofan Engines","source":"europepmc","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-8332823/v1","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.21203/rs.3.rs-8332823/v1","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:54.186Z"},{"id":"doi:10.20944/preprints202510.1132.v1","name":"Analysis of the Technical and Commercial Factors that Influence the Acquisition of Hybrid Vehicles in the City of Guayaquil","source":"europepmc","abstract":"","url":"https://doi.org/10.20944/preprints202510.1132.v1","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.20944/preprints202510.1132.v1","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:54.187Z"},{"id":"doi:10.64898/2026.03.10.26348024","name":"Placental Pathways: The Impact of Air Pollution (PM  <sub>2.5</sub>  ) Exposure on Pregnancy Outcomes in three Sub-Saharan African Countries","source":"preprints","abstract":"","url":"https://doi.org/10.64898/2026.03.10.26348024","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.64898/2026.03.10.26348024","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:57.842Z"},{"id":"doi:10.21203/rs.3.rs-8539747/v1","name":"The Impact of Changes in Active Travel Infrastructure on Disabled People: A Rapid Review","source":"europepmc","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-8539747/v1","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.21203/rs.3.rs-8539747/v1","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:57.842Z"},{"id":"doi:10.21203/rs.3.rs-7605109/v1","name":"Enhanced UAV Navigation in Cluttered Environments via a BS-CYOLOv5 Multi-Sensor Approach","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-7605109/v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.21203/rs.3.rs-7605109/v1","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:54.187Z"},{"id":"doi:10.21203/rs.3.rs-7080783/v1","name":"Measuring Urban Transport Sustainability with Indicators: Trends, Gaps, and a Vision Forward","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-7080783/v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.21203/rs.3.rs-7080783/v1","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:57.842Z"},{"id":"doi:10.20944/preprints202504.2524.v1","name":"A Comprehensive Review of VTOL UAVs: Design, Technologies, and Applications","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202504.2524.v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.20944/preprints202504.2524.v1","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:57.842Z"},{"id":"doi:10.21203/rs.3.rs-7303597/v1","name":"A Study on Autonomous Navigation and Obstacle Avoidance Systems for UAVs Using Deep Learning Techniques","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-7303597/v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.21203/rs.3.rs-7303597/v1","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:54.187Z"},{"id":"doi:10.21203/rs.3.rs-6603263/v1","name":"Vehicle-Pedestrian Optimization Framework for Exposure-Aware Routing","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-6603263/v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.21203/rs.3.rs-6603263/v1","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:54.187Z"},{"id":"doi:10.20944/preprints202506.0565.v1","name":"The Impact of Air Transportation Infrastructure, Financial Development, Economic Growth, and Innovation on CO₂ Emissions from Transport in Saudi Arabia: A Quantile Regression","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202506.0565.v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.20944/preprints202506.0565.v1","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:54.187Z"},{"id":"doi:10.20944/preprints202505.1091.v1","name":"Systemic Integration of EV and Autonomous Driving Technologies: A Study of China’s Intelligent Mobility Transition","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202505.1091.v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.20944/preprints202505.1091.v1","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:54.187Z"},{"id":"doi:10.21203/rs.3.rs-4938910/v1","name":"Environmental quality and the ebb and flow of urban innovation in China: An Explanation from the Perspective of Human Capital Mobility","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-4938910/v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.21203/rs.3.rs-4938910/v1","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:50.412Z"},{"id":"doi:10.64898/2026.02.18.706585","name":"A citywide metagenomic analysis reveals surface-specific microbiome and resistome patterns in outdoor urban environments across Liverpool, UK","source":"preprints","abstract":"","url":"https://doi.org/10.64898/2026.02.18.706585","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.64898/2026.02.18.706585","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:57.842Z"},{"id":"doi:10.21203/rs.3.rs-5888206/v1","name":"Changes in air quality in Poland in 2020 in the context of the COVID-19 pandemic: spatial and seasonal analysis","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-5888206/v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.21203/rs.3.rs-5888206/v1","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:54.187Z"},{"id":"doi:10.64898/2026.02.27.26347250","name":"A multi-scale model to evaluate airport wastewater surveillance and ICU genomic monitoring for pandemic preparedness","source":"preprints","abstract":"Increasing human mobility and population connectivity have intensified the risks of global pathogen spread, while concurrent shifts in human demographic patterns, ecological factors, and climatic conditions have altered the global landscape of this risk. Genomic surveillance can serve as a critical tool for early detection of emerging pathogen threats; however, challenges remain in deciding where to monitor, in understanding trade-offs among surveillance modalities, and in translating detections into actionable estimates of importation and local transmission for public health decision-making. Here we develop a computational framework to evaluate strategies for respiratory pathogen detection that integrates an established clinical surveillance modality, intensive care unit (ICU) sampling, with an emerging environmental modality, aircraft wastewater (AWW) sampling. Detections are translated into risk via a multi-scale, stochastic global transmission model that combines international flight data with a detailed agent-based local transmission model. The resulting model-based estimates contrast the time to pathogen detection via AWW at airports with that in the community via realistic healthcare testing pathways. Using real-world data from England and Wales (EW), we find that employing AWW in EW airports can improve first detection times by 12.5-37.7 days for a range of epidemiological parameters under realistic healthcare testing scenarios and random aircraft sampling between 25 and 50%. In particular, for a SARS-CoV-2-like pathogen, we expect AWW to outperform ICU in first detection timing by 22.0-25.6 days, with ∼21.9-42.6 times fewer cases at their respective time of detection. While false detection remains a risk, we show that follow-up confirmatory testing can improve detection confidence substantially. Together our results demonstrate the potential utility of AWW surveillance and how it can reduce detection times and improve global health security.","url":"https://doi.org/10.64898/2026.02.27.26347250","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.64898/2026.02.27.26347250","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:52.485Z"},{"id":"doi:10.20944/preprints202410.2302.v1","name":"Promoting Sustainable Urban Mobility: Factors Influencing E-Bike Adoption in Henan Province, China","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202410.2302.v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.20944/preprints202410.2302.v1","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:50.412Z"},{"id":"doi:10.21203/rs.3.rs-6518175/v1","name":"Decentralized Multi-Agent Reinforcement Learning for Adaptive Traffic Congestion Control: Integrating Deep Q-Networks with Kalman Filter-Based Prediction","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-6518175/v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.21203/rs.3.rs-6518175/v1","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:54.187Z"},{"id":"doi:10.20944/preprints202409.0962.v1","name":"Spatial Analysis of Middle-Mile Transport for Advanced Air Mobility: A Case Study of Rural North Dakota","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202409.0962.v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.20944/preprints202409.0962.v1","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:50.412Z"},{"id":"doi:10.21203/rs.3.rs-6221218/v1","name":"Aerodynamic Investigation of a Three-Wheeled Vehicle Using a CFD Approach: A Study on Drag and Lift Variations","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-6221218/v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.21203/rs.3.rs-6221218/v1","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:54.187Z"},{"id":"doi:10.21203/rs.3.rs-9382926/v1","name":"A Nationally Representative One Health Multi-Pathogen Serosurvey in Cambodia: Study Protocol for the RACSMEI Mixed-Methods Study","source":"preprints","abstract":"Abstract Background: Cambodia faces a high and complex burden of zoonotic, vector-borne, vaccine-preventable and environmentally transmitted infections, driven by intensive human–animal–environment interactions. However, nationally representative data integrating human, animal and environmental dimensions of pathogen exposure remain limited. The RACSMEI (Risk Assessment of Community Spread of Multiple Endemic Infectious Diseases in a One Health Perspective) study aims to address this gap through a nationwide One Health serosurvey designed to generate policy-relevant epidemiological evidence for precision public health and integrated surveillance. Methods/design : RACSMEI is a nationwide, cross-sectional, mixed-methods study conducted across all 25 provinces of Cambodia. Using a stratified, multi-stage cluster sampling design, approximately 15,000 individuals aged 2–75 years will be enrolled from 4,160 households in 104 randomly selected villages. Human, animal (poultry, pigs, dogs, cattle, small ruminants, rodents) and environmental (water, soil, air, surface swabs) samples will be collected. Exposure to more than 50 endemic, emerging, vaccine-preventable and elimination-targeted pathogens will be assessed using multiplex serological assays, molecular diagnostics and metagenomics sequencing approaches. Quantitative surveys will be complemented by semi-structured interviews and focus group discussions to explore social, behavioural and health system determinants of infection risk and care-seeking behaviours. Analyses will account for the complex survey design and integrate epidemiological, environmental and social science data. Discussion By combining nationally representative sampling with integrated human, animal, environmental and social science data, RACSMEI aims to generate comprehensive evidence on infectious disease exposure and transmission risks across diverse socio-ecological contexts in Cambodia. The study will provide policy-relevant insights to support One Health surveillance strategies and targeted public health interventions. The protocol was approved by the Cambodian National Ethics Committee for Health Research and the Institutional Review Board of Institut Pasteur Paris. Trial registration : ClinicalTrials.gov identifier: NCT07358910. Registered 14 January 2026.","url":"https://doi.org/10.21203/rs.3.rs-9382926/v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.21203/rs.3.rs-9382926/v1","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:57.842Z"},{"id":"doi:10.21203/rs.3.rs-8462036/v1","name":"Rooftop and Surface Garden Soils in Bangladesh Harbor Diverse Resistome Profiles","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-8462036/v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.21203/rs.3.rs-8462036/v1","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:54.187Z"},{"id":"doi:10.20944/preprints202408.1234.v1","name":"Initial Insights into Teleworking’s Effect on Air Quality in Madrid City","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202408.1234.v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.20944/preprints202408.1234.v1","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:50.412Z"},{"id":"doi:10.64898/2026.05.06.26352508","name":"Transdisciplinary Epidemiology in Schools: Integrating Molecular Environmental and Social Surveillance Through Community Science","source":"preprints","abstract":"","url":"https://doi.org/10.64898/2026.05.06.26352508","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.64898/2026.05.06.26352508","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:54.187Z"},{"id":"doi:10.1101/2025.02.06.25321780","name":"Networked SIRS model with Kalman filter state estimation for epidemic monitoring in Europe","source":"preprints","abstract":"","url":"https://doi.org/10.1101/2025.02.06.25321780","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.1101/2025.02.06.25321780","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:54.187Z"},{"id":"doi:10.21203/rs.3.rs-6656804/v1","name":"Investigating the relationship between neighbourhood characteristics, perceived social support and psychological wellbeing in Spanish adolescents","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-6656804/v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.21203/rs.3.rs-6656804/v1","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:54.187Z"},{"id":"doi:10.1101/2025.08.18.670873","name":"Urban  <i>Lasius niger</i>  ants more readily accept low concentration sucrose solution than rural ants","source":"preprints","abstract":"","url":"https://doi.org/10.1101/2025.08.18.670873","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.1101/2025.08.18.670873","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:54.187Z"},{"id":"doi:10.1101/2025.09.05.25334734","name":"Individual and city-level variations in heat-related road traffic deaths in Latin America","source":"preprints","abstract":"","url":"https://doi.org/10.1101/2025.09.05.25334734","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.1101/2025.09.05.25334734","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:54.187Z"},{"id":"doi:10.1101/2025.06.03.25328871","name":"Association Between Air Quality Index (AQI) Variability and Hospital Admissions for Lung Diseases: A Longitudinal Study","source":"preprints","abstract":"","url":"https://doi.org/10.1101/2025.06.03.25328871","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.1101/2025.06.03.25328871","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:57.842Z"},{"id":"doi:10.1101/2025.10.14.682357","name":"2000-year fish bone record reveals transition to commercial fisheries during climatic change","source":"preprints","abstract":"","url":"https://doi.org/10.1101/2025.10.14.682357","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.1101/2025.10.14.682357","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:57.842Z"},{"id":"doi:10.21203/rs.3.rs-4402535/v1","name":"Bayesian dynamic models to estimate the impact of halting vehicle fleets on the air quality: a case study from Medellín, Colombia","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-4402535/v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.21203/rs.3.rs-4402535/v1","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:50.412Z"},{"id":"doi:10.1101/2024.10.29.24316328","name":"Dynamics and ecology of a multi-stage expansion of Oropouche virus in Brazil","source":"preprints","abstract":"","url":"https://doi.org/10.1101/2024.10.29.24316328","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.1101/2024.10.29.24316328","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:57.842Z"},{"id":"doi:10.21203/rs.3.rs-3595378/v1","name":"Big mobility data reveals hyperlocal air pollution exposure disparities in the Bronx, New York City","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-3595378/v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2023","doi":"10.21203/rs.3.rs-3595378/v1","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:47.155Z"},{"id":"doi:10.20944/preprints202310.1886.v1","name":"Fostering Urban Walking: Strategies Focused on Pedestrian Satisfaction","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202310.1886.v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2023","doi":"10.20944/preprints202310.1886.v1","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:47.155Z"},{"id":"doi:10.21203/rs.3.rs-9060887/v1","name":"Harvesting Indoor Light for Continuous Electricity Generation Using Semitransparent CdTe Solar Cells for Energy Neutral Buildings","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-9060887/v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.21203/rs.3.rs-9060887/v1","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:52.485Z"},{"id":"doi:10.20944/preprints202309.0811.v1","name":"Demographic Analysis of Active Travel Users in Urban Context","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202309.0811.v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2023","doi":"10.20944/preprints202309.0811.v1","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:47.155Z"},{"id":"doi:10.20944/preprints202310.1543.v1","name":"Studying the Effect of Anthropogenic Activities on the Presence of Nitrogen Dioxide (NO2) through Remote Sensing and Ground Based Observations over Emirate of Fujairah, UAE","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202310.1543.v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2023","doi":"10.20944/preprints202310.1543.v1","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:47.155Z"},{"id":"doi:10.1101/2024.12.11.24318676","name":"Description, Development and Application of the Integrated Transport and Health Impact Modelling Tool for Global Cities (ITHIM-Global)","source":"preprints","abstract":"","url":"https://doi.org/10.1101/2024.12.11.24318676","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.1101/2024.12.11.24318676","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:57.842Z"},{"id":"doi:10.21203/rs.3.rs-7474433/v1","name":"Disease Perceptions, Risks, and Responses: Using the Health Belief Model to Understand Street Children and Youths Health-Seeking Behaviour in Cameroon","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-7474433/v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.21203/rs.3.rs-7474433/v1","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:57.842Z"},{"id":"doi:10.21203/rs.3.rs-7702361/v1","name":"Prospective acceptability, feasibility and outcomes of a primary school-led outdoor play intervention for young children","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-7702361/v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.21203/rs.3.rs-7702361/v1","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:57.842Z"},{"id":"doi:10.22541/au.171024427.76113032/v1","name":"Height-Dependent LoS Probability Model for A2G Channels Incorporating Airframe Shadowing Under Built-up Scenario","source":"preprints","abstract":"","url":"https://doi.org/10.22541/au.171024427.76113032/v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.22541/au.171024427.76113032/v1","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:57.919Z"},{"id":"doi:10.2139/ssrn.4581489","name":"Overestimated Environmental Benefits of Short-Term Changes in Mobility Behaviour: The Case of Berlin During COVID-19","source":"preprints","abstract":"","url":"https://doi.org/10.2139/ssrn.4581489","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2023","doi":"10.2139/ssrn.4581489","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:57.842Z"},{"id":"doi:10.21203/rs.3.rs-3941981/v1","name":"Geometric Design of Electric Motors Using Adjoint-based Shape Optimization","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-3941981/v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.21203/rs.3.rs-3941981/v1","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:50.412Z"},{"id":"doi:10.20944/preprints202305.0124.v1","name":"Consideration of Altered Anthropogenic Behavior during the First Lockdown and its Effects on Air Pollutants, and Land Surface Temperature in European Cities","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202305.0124.v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2023","doi":"10.20944/preprints202305.0124.v1","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:57.842Z"},{"id":"doi:10.20944/preprints202401.1624.v1","name":"The Impact of Artificial Intelligence on Future Aviation Safety Culture","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202401.1624.v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.20944/preprints202401.1624.v1","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:50.412Z"},{"id":"doi:10.2139/ssrn.4551969","name":"Air Pollution Mortality Benefits of Sustained COVID-19 Mobility Restrictions in Australian Cities","source":"preprints","abstract":"","url":"https://doi.org/10.2139/ssrn.4551969","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2023","doi":"10.2139/ssrn.4551969","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:57.842Z"},{"id":"doi:10.21203/rs.3.rs-3888948/v1","name":"Relationships between fixed-site ambient measurements of nitrogen dioxide, ozone, and particulate matter and personal exposures in Grand Paris, France: the MobiliSense study","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-3888948/v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.21203/rs.3.rs-3888948/v1","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:57.842Z"},{"id":"doi:10.21203/rs.3.rs-3593745/v1","name":"Exploring hybrid models for identifying locations for active mobility pathways using Real-Time Spatial Delphi and GANs","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-3593745/v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2023","doi":"10.21203/rs.3.rs-3593745/v1","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:47.157Z"},{"id":"doi:10.21203/rs.3.rs-3337744/v1","name":"Spatialized PM 2.5 during Covid-19 Pandemic in Brazil’s most populous Southern City: Implications for Post-Pandemic Era","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-3337744/v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2023","doi":"10.21203/rs.3.rs-3337744/v1","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:57.842Z"},{"id":"doi:10.20944/preprints202307.0981.v1","name":"Hybrid Turbo-shaft Engine Digital Twining for Autonomous Air-crafts via AI and Synthetic Data Generation","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202307.0981.v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2023","doi":"10.20944/preprints202307.0981.v1","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:47.157Z"},{"id":"doi:10.2139/ssrn.4596476","name":"The Nighttime Lights Reveal the Patterns of Human Activities and Policy Effectiveness During the COVID-19 Pandemic","source":"preprints","abstract":"","url":"https://doi.org/10.2139/ssrn.4596476","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2023","doi":"10.2139/ssrn.4596476","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:47.157Z"},{"id":"doi:10.1101/2023.08.22.23294434","name":"The interplay between air pollution, built environment, and physical activity: perceptions of children and youth in rural and urban India","source":"preprints","abstract":"","url":"https://doi.org/10.1101/2023.08.22.23294434","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2023","doi":"10.1101/2023.08.22.23294434","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:47.157Z"},{"id":"doi:10.1101/2024.01.18.24301504","name":"Routes of importation and spatial dynamics of SARS-CoV-2 variants during localised interventions in Chile","source":"preprints","abstract":"","url":"https://doi.org/10.1101/2024.01.18.24301504","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.1101/2024.01.18.24301504","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:50.412Z"},{"id":"doi:10.2139/ssrn.4435269","name":"The Characterization of the Demand for E-Scooters in Sicily Through Machine Learning: Some Considerations on Socio-Economic Factors","source":"preprints","abstract":"","url":"https://doi.org/10.2139/ssrn.4435269","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2023","doi":"10.2139/ssrn.4435269","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:47.157Z"},{"id":"doi:10.21203/rs.3.rs-2641634/v3","name":"Increased nationwide use of green spaces in Norway during the COVID-19 pandemic","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-2641634/v3","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2023","doi":"10.21203/rs.3.rs-2641634/v3","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:47.157Z"},{"id":"doi:10.1101/2023.07.25.23293110","name":"Interactions between climate change, urban infrastructure and mobility are driving dengue emergence in Vietnam","source":"preprints","abstract":"","url":"https://doi.org/10.1101/2023.07.25.23293110","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2023","doi":"10.1101/2023.07.25.23293110","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:57.842Z"},{"id":"doi:10.64898/2026.07.20.26357937","name":"Nocturnal cough as a syndromic surveillance signal for respiratory illness in England","source":"preprints","abstract":"","url":"https://doi.org/10.64898/2026.07.20.26357937","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.64898/2026.07.20.26357937","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:57.842Z"},{"id":"doi:10.1101/2025.10.06.25337235","name":"The Role of Climate Change in the Expansion of Dengue","source":"preprints","abstract":"","url":"https://doi.org/10.1101/2025.10.06.25337235","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.1101/2025.10.06.25337235","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:57.842Z"},{"id":"doi:10.1101/2024.09.04.24312892","name":"Co-circulation of two lineages of Oropouche virus in the Amazon basin, Colombia, 2024","source":"preprints","abstract":"","url":"https://doi.org/10.1101/2024.09.04.24312892","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.1101/2024.09.04.24312892","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:50.412Z"},{"id":"doi:10.2139/ssrn.4258160","name":"Examining the Impacts of COVID-19 On Traffic Network and Vehicular Emissions","source":"preprints","abstract":"","url":"https://doi.org/10.2139/ssrn.4258160","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2022","doi":"10.2139/ssrn.4258160","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:57.842Z"},{"id":"doi:10.1101/2025.02.18.25322451","name":"Climate change and tuberculosis: an analytical framework","source":"preprints","abstract":"Summary Climate change is likely to exacerbate a range of determinants which drive tuberculosis, the world’s leading infectious disease killer. However, tuberculosis is often neglected in wider climate health discussions. Commissioned by the World Health Organization, we developed an analytical framework outlining potential causal relationships between climate change and tuberculosis. We drew on existing knowledge of tuberculosis determinants, identified which are likely to be sensitive to the effects of climate change, and conceptualised the mechanistic pathways through which this might occur. We collated evidence for these pathways through literature reviews. Our reviews found no studies directly linking climate change and tuberculosis, warranting research to build evidence for action. The available evidence supports the existence of plausible links between climate change and tuberculosis, and highlights the need to include tuberculosis in climate risk adaptation and mitigation programmes, and climate-resilient funding and response mechanisms. Further evidence is urgently needed to quantify the effects of climate change on tuberculosis.","url":"https://doi.org/10.1101/2025.02.18.25322451","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.1101/2025.02.18.25322451","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:57.842Z"},{"id":"doi:10.1101/2022.08.08.22277819","name":"NO<sub>2</sub> pollution decrease in big cities of Latin America during COVID-19 pandemic","source":"preprints","abstract":"","url":"https://doi.org/10.1101/2022.08.08.22277819","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2022","doi":"10.1101/2022.08.08.22277819","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:47.157Z"},{"id":"doi:10.2139/ssrn.4176866","name":"COVID-19 Pandemic Underscores Role of Green Space in Urban Carbon Dynamics","source":"preprints","abstract":"","url":"https://doi.org/10.2139/ssrn.4176866","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2022","doi":"10.2139/ssrn.4176866","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:47.157Z"},{"id":"doi:10.21203/rs.3.rs-7613144/v1","name":"Reimagining Primary Health Care: A Historical and Contemporary Review of Community-Based Care Models and Innovations","source":"preprints","abstract":"Abstract BACKGROUND Historically, community-based care has served as a foundation of health service delivery in resource-constrained settings. However, shifting demographics, rising chronic diseases burdens, and digital transformations increasingly challenge the sustainability and equity of these models. We reviewed historical as well as contemporary evidence on community-based care and provide a consolidated summary on the effectiveness and limitations of existing models; identify emerging challenges and future directions to ensure that future remains aligned with the goal of universal health coverage. METHOD Wes conducted a scoping review of available literature using the Arksey and O’Malley framework. A comprehensive search was conducted across PubMed, Scopus, Web of Science, Google Scholar, and grey literature from 1975 to 2025 using a combination of search terms related to community-based care models, community health workers, volunteer-based programs, or digital innovations linked to community care. The data were synthesized thematically into categories reflecting historical evolution, key achievements, challenges, and future directions. RESULTS A total of 134 documents were reviewed. Community-based care consistently improved access to essential services, particularly maternal and child health, infectious disease control, and health promotion in underserved populations. Programs led by volunteer and community health worker led programs contributed to health systems strengthening but faced persistent challenges including high attrition, limited funding, and fragmented integration. Case studies from Nepal, Ethiopia, Brazil, and Rwanda highlighted significant reductions in child mortality, improvement in maternal care, and strengthened resilience during pandemics. Emerging challenges included syndemics, demographic transitions, urbanization, and weakening social structures. Digital technologies and artificial intelligence emerged as potential tools to expand access and efficiency, though they also pose risks if deployed inequitably or without adequate regulation. CONCLUSION Community-based care remains essential for bridging gaps in health system and advancing universal health coverage. Its continued effectiveness will depend on evolving into diagonally integrated, technologically enabled, and people centered model that balances innovation with equity, trust, and cultural relevance. Long-term investment in governance, workforce training, digital infrastructure, and active community engagement will be critical to building resilience against future health crises.","url":"https://doi.org/10.21203/rs.3.rs-7613144/v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.21203/rs.3.rs-7613144/v1","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:57.842Z"},{"id":"doi:10.1101/2023.10.09.23296785","name":"How does the macroenvironment influence brain and behaviour – a review of current status and future perspectives","source":"preprints","abstract":"","url":"https://doi.org/10.1101/2023.10.09.23296785","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2023","doi":"10.1101/2023.10.09.23296785","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:57.842Z"},{"id":"doi:10.2139/ssrn.4115226","name":"Air Pollution, Weather, Traffic and Social Dynamics in a Major Latin American City: Case of Santiago De Cali, Colombia (2015-2020)","source":"preprints","abstract":"","url":"https://doi.org/10.2139/ssrn.4115226","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2022","doi":"10.2139/ssrn.4115226","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:57.842Z"},{"id":"doi:10.2139/ssrn.4382818","name":"Machine Learning Model to Predict Vehicle Electrification Impacts on Urban Air Quality and Related Human Health Effects","source":"preprints","abstract":"","url":"https://doi.org/10.2139/ssrn.4382818","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2023","doi":"10.2139/ssrn.4382818","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:54.187Z"},{"id":"doi:10.21203/rs.3.rs-3195216/v1","name":"Air Pollution in Cities With Unplanned Urban Growth, a Case Study of Toluca Valley: Trends and Health Impacts Compared With Mexico City","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-3195216/v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2023","doi":"10.21203/rs.3.rs-3195216/v1","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:57.842Z"},{"id":"doi:10.2139/ssrn.4598617","name":"Characteristics of Urban Expansion Maximum Temperature Boundary Layer Height Thermal Stress And Their Association In Bangkok Metropolitan Region During 2000-2020","source":"preprints","abstract":"","url":"https://doi.org/10.2139/ssrn.4598617","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2023","doi":"10.2139/ssrn.4598617","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:57.842Z"},{"id":"doi:10.21203/rs.3.rs-1669701/v1","name":"Validity of air quality as a measure of human mobility. The COVID-19 context.","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-1669701/v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2022","doi":"10.21203/rs.3.rs-1669701/v1","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:47.157Z"},{"id":"doi:10.21203/rs.3.rs-1475494/v1","name":"Impact of confinement on the reduction of pollution and particulate matter concentrations. Reflections for public transport policies.","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-1475494/v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2022","doi":"10.21203/rs.3.rs-1475494/v1","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:47.157Z"},{"id":"doi:10.21203/rs.3.rs-2353275/v1","name":"Pandemic-Resiliency and Flexibility Assessment of Dormitory Buildings in the Post-Covid-19 Era","source":"preprints","abstract":"The Covid 19 pandemic affected the education system, causing distance-learning in most parts of the world. Thanks to the rapid vaccination, face-to-face instruction started again, university students returned to colleges, and dormitories were again used. To respond to the changing living conditions and ensure a healthy indoor environment, strategies for pandemic-resistant and flexible design of dormitories have been discussed, which is the focus of this article. To achieve this goal, state dormitories in Turkey, their current condition, and functional/ technical solutions were studied in detail using a four-stage methodology developed with this study, and their adaptation potential for new flexible and pandemic-resistant designs in the post-pandemic world was discussed. The research results showed that the case dormitory is unlikely to adapt to pandemic conditions in terms of pandemic resilience, flexibility, and Turkey Covid-19 Guidelines and that the methodology has the potential to be applicable to the evaluation of similar buildings.","url":"https://doi.org/10.21203/rs.3.rs-2353275/v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2022","doi":"10.21203/rs.3.rs-2353275/v1","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:57.842Z"},{"id":"doi:10.2139/ssrn.4490258","name":"Supercapacitor Electric Bus Modeling and Simulation Framework","source":"preprints","abstract":"Electric buses or e-buses represent a viable zero-emission bus option for decarbonizing urban mobility. Numerous pilots and experiments are ongoing mainly throughout Europe, Americas and Asia in order to assure their feasibility in different actual operating conditions since 2012. As public transport (PT) ridership has decreased worldwide since COVID-19, it is essential to upkeep its previously attained quality-of-service so as not to compromise further PT users’ loyalty. So-called range anxiety represents a major e-bus implementation challenge. Therefore, a dedicated yet inexpensive e-bus modeling and simulation framework is developed to do the trick for testing multiple e-bus configuration options impact by analyzing its energy and environmental results in actual conditions of operation, topography, weather, traffic with real world driving data in virtual environments without negative consequences on PT ridership.","url":"https://doi.org/10.2139/ssrn.4490258","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2023","doi":"10.2139/ssrn.4490258","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:47.157Z"},{"id":"doi:10.21203/rs.3.rs-2871791/v1","name":"Air quality during 2010-2020 over two mega cities in the west zone of India- with special reference to COVID-19 lockdown.","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-2871791/v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2023","doi":"10.21203/rs.3.rs-2871791/v1","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:57.842Z"},{"id":"doi:10.2139/ssrn.4516052","name":"Dual Carbon and Sulfur Isotopes as Tracers of PM\n<sub>1</sub> Pollution Sources after Covid-19 Confinement in Vilnius, Lithuania","source":"preprints","abstract":"","url":"https://doi.org/10.2139/ssrn.4516052","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2023","doi":"10.2139/ssrn.4516052","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:47.157Z"},{"id":"doi:10.2139/ssrn.4135090","name":"Predicting and Generating Urban Human Mobility Flows with Random Forests and Land Cover Data","source":"preprints","abstract":"","url":"https://doi.org/10.2139/ssrn.4135090","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2022","doi":"10.2139/ssrn.4135090","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:47.157Z"},{"id":"doi:10.20944/preprints202204.0232.v1","name":"Urban Air Quality Measurements: A Survey","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202204.0232.v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2022","doi":"10.20944/preprints202204.0232.v1","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:57.842Z"},{"id":"doi:10.2139/ssrn.4160364","name":"Role of Vehicular Emissions in Urban Air Quality: The COVID-19 Lockdown Experiment","source":"preprints","abstract":"","url":"https://doi.org/10.2139/ssrn.4160364","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2022","doi":"10.2139/ssrn.4160364","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:57.842Z"},{"id":"doi:10.1101/2024.04.02.24304484","name":"Climate extremes increase dengue risk along elevation and socio-economic gradients in Colombia","source":"preprints","abstract":"","url":"https://doi.org/10.1101/2024.04.02.24304484","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.1101/2024.04.02.24304484","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:50.412Z"},{"id":"doi:10.21203/rs.3.rs-3189692/v1","name":"Towards carbon-neutral cities: an assessment of urban CO2 removal and albedo management","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-3189692/v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2023","doi":"10.21203/rs.3.rs-3189692/v1","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:57.842Z"},{"id":"doi:10.2139/ssrn.4347382","name":"Ground-Based MAX-DOAS Observation of Trace Gases from 2019 to 2021 in Huaibei, China","source":"preprints","abstract":"","url":"https://doi.org/10.2139/ssrn.4347382","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2023","doi":"10.2139/ssrn.4347382","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:57.842Z"},{"id":"doi:10.2139/ssrn.4589298","name":"Economic Vulnerability Amidst COVID-19: A District-Level Analysis of Bangladesh","source":"preprints","abstract":"","url":"https://doi.org/10.2139/ssrn.4589298","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2023","doi":"10.2139/ssrn.4589298","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:47.157Z"},{"id":"doi:10.2139/ssrn.4137928","name":"Using System Dynamics to Understand Long-Term Impact of Sustainable Mobility Policies: An Analysis Pre- and Post-COVID-19 Pandemic","source":"preprints","abstract":"","url":"https://doi.org/10.2139/ssrn.4137928","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2022","doi":"10.2139/ssrn.4137928","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:47.157Z"},{"id":"doi:10.2139/ssrn.4258493","name":"Economic Impact of COVID-19 Containment Policies: Evidence Based on Novel Surface Heat Data from the People’s Republic of China","source":"preprints","abstract":"","url":"https://doi.org/10.2139/ssrn.4258493","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2022","doi":"10.2139/ssrn.4258493","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:57.842Z"},{"id":"doi:10.2139/ssrn.4026160","name":"Spatiotemporal Representativeness of Air Pollution Monitoring in Dublin, Ireland","source":"preprints","abstract":"","url":"https://doi.org/10.2139/ssrn.4026160","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2022","doi":"10.2139/ssrn.4026160","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:47.157Z"},{"id":"doi:10.2139/ssrn.4187698","name":"Urban Mobility Measures in Response to COVID-19: Emerging Concepts and Trends for Sustainable Planning","source":"preprints","abstract":"","url":"https://doi.org/10.2139/ssrn.4187698","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2022","doi":"10.2139/ssrn.4187698","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:57.842Z"},{"id":"doi:10.21203/rs.3.rs-1906929/v1","name":"Evaluating the potential of suburban and rural areas for tourism and recreation, including individual short-term tourism under pandemic conditions","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-1906929/v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2022","doi":"10.21203/rs.3.rs-1906929/v1","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:57.842Z"},{"id":"doi:10.21203/rs.3.rs-1485394/v1","name":"Validity of Air Quality as a Measure of Human Mobility in Uganda. The COVID-19 Context.","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-1485394/v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2022","doi":"10.21203/rs.3.rs-1485394/v1","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:47.157Z"},{"id":"doi:10.2139/ssrn.4043408","name":"Non-Pharmaceutical Interventions and Urban Vehicle Mobility in Seoul During Covid-19","source":"preprints","abstract":"","url":"https://doi.org/10.2139/ssrn.4043408","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2022","doi":"10.2139/ssrn.4043408","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:57.842Z"},{"id":"doi:10.1101/2025.11.06.685884","name":"Seasonal and diel environment effects on host-seeking behaviour in the European tick vector,  <i>Ixodes ricinus</i>","source":"preprints","abstract":"","url":"https://doi.org/10.1101/2025.11.06.685884","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.1101/2025.11.06.685884","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:57.842Z"},{"id":"doi:10.2139/ssrn.4378432","name":"Changes in Service Distances of Urban Parks Before and After the COVID-19 Pandemic: Applying a Modified Gravity Model for Seoul Metropolitan Area","source":"preprints","abstract":"","url":"https://doi.org/10.2139/ssrn.4378432","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2023","doi":"10.2139/ssrn.4378432","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:57.842Z"},{"id":"doi:10.21203/rs.3.rs-1417025/v1","name":"Pandemic Vulnerability Index of US Cities: A Hybrid Knowledge-based and Data-driven Approach","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-1417025/v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2022","doi":"10.21203/rs.3.rs-1417025/v1","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:57.842Z"},{"id":"doi:10.2139/ssrn.4055178","name":"Sustainable Urban Mobility Measures in Response to Covid-19 a Systematic Literature Review and Emerging Policy Challenges","source":"preprints","abstract":"","url":"https://doi.org/10.2139/ssrn.4055178","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2022","doi":"10.2139/ssrn.4055178","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:57.842Z"},{"id":"doi:10.21203/rs.3.rs-311721/v2","name":"Temporal Air Quality (NO2, O3 and PM10) Changes in Urban and Rural Stations in Catalonia during COVID-19 Lockdown: An Association with Human Mobility and Satellite Data","source":"preprints","abstract":"Abstract In this study, changes in air quality by NO 2 , O 3 and PM 10 in Barcelona metropolitan area and other parts of Catalonia during the COVID-19 lockdown with respect to pre-lockdown and to previous years (2018 and 2019) were evaluated. Selected air monitoring stations included 3 urban (Gràcia, Vall d’Hebron and Granollers), 1 control site (Fabra Observatory), 1 semi-urban (Manlleu), and 3 rural (Begur, Bellver de Cerdanya, and Juneda). NO 2 lockdown levels showed a diminution, which in relative terms was maximum in two rural stations (Bellver de Cerdanya, -63% and Begur, -61%), presumably due to lower emissions from the ceasing hotel and ski resort activities during eastern holidays. In absolute terms and from an epidemiologic perspective, decrease in NO 2 , also reinforced by the high amount of rainfall registered in April 2020, was more relevant in the urban stations around Barcelona. O 3 levels increased in the transited urban stations (Gràcia, +42%, and Granollers, +64%) due to the lower titration effect by NO x . PM 10 lockdown levels decreased, mostly in Gràcia, Vall d’Hebron and Granollers (-35, -39% and -39%, respectively) due to traffic depletion (-90% in Barcelona's transport). Correlation among mobility index in Barcelona (-100% in retail &amp; recreation) and contamination was positive for NO 2 and PM 10 and negative for O 3 ( P &lt;0.001). Satellite images evidenced two hotspots of NO 2 in Spain (Madrid and Barcelona) in April 2018 and 2019 that disappeared in 2020. Overall, the benefits of lockdown on air quality in Catalonia were evidenced with NO 2 , O 3 and PM 10 levels below WHOAQG values in most of stations opposed to the excess registered in previous years.","url":"https://doi.org/10.21203/rs.3.rs-311721/v2","authors":["Eva Gorrochategui","Isabel Hernandez","Eva Pérez-Gabucio","Sílvia Lacorte","Romà Tauler"],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2021","doi":"10.21203/rs.3.rs-311721/v2","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:57.284Z"},{"id":"doi:10.21203/rs.3.rs-1306641/v1","name":"Fostering Pedestrian Ecomobility for Sustainable Urban Development: A Case Study, Riyadh City","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-1306641/v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2022","doi":"10.21203/rs.3.rs-1306641/v1","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:47.157Z"},{"id":"doi:10.2139/ssrn.4429298","name":"Navigating Public Transport During a Pandemic: Key Lessons on Travel Behavior and Social Equity from Two Longitudinal Surveys in Tehran","source":"preprints","abstract":"","url":"https://doi.org/10.2139/ssrn.4429298","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2023","doi":"10.2139/ssrn.4429298","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:57.842Z"},{"id":"doi:10.2139/ssrn.4571665","name":"Atmospheric Contaminants and Meteorological Variables During Control Measures and Economic Recovery Following the Covid-19 Pandemic in a Coastal City in Southern Peru","source":"preprints","abstract":"","url":"https://doi.org/10.2139/ssrn.4571665","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2023","doi":"10.2139/ssrn.4571665","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:47.157Z"},{"id":"doi:10.1101/2022.05.12.22274931","name":"Human Mobility and Infection from Covid-19 in the Osaka Metropolitan Area","source":"preprints","abstract":"","url":"https://doi.org/10.1101/2022.05.12.22274931","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2022","doi":"10.1101/2022.05.12.22274931","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:57.842Z"},{"id":"doi:10.1101/2023.05.11.23289832","name":"The Heterogeneous Effects of Lockdown Policies on Air Pollution<sup>∗</sup>","source":"preprints","abstract":"","url":"https://doi.org/10.1101/2023.05.11.23289832","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2023","doi":"10.1101/2023.05.11.23289832","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:57.842Z"},{"id":"doi:10.21203/rs.3.rs-2219155/v1","name":"Use of mobile phone sensing data to estimate residence and mobility times in urban patches during the COVID-19 epidemic: The case of the 2020 outbreak in Hermosillo, Mexico","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-2219155/v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2022","doi":"10.21203/rs.3.rs-2219155/v1","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:47.157Z"},{"id":"doi:10.2139/ssrn.4062876","name":"Systematic Literature Review on Impacts of Covid-19 Pandemic and Corresponding Measures on Mobility","source":"preprints","abstract":"","url":"https://doi.org/10.2139/ssrn.4062876","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2022","doi":"10.2139/ssrn.4062876","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:57.842Z"},{"id":"doi:10.21203/rs.3.rs-2488728/v1","name":"Travel distance, frequency of return and the spread of disease","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-2488728/v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2023","doi":"10.21203/rs.3.rs-2488728/v1","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:47.157Z"},{"id":"doi:10.2139/ssrn.4115559","name":"European Transport Strategy: Legal Improvement and New Challenges","source":"preprints","abstract":"","url":"https://doi.org/10.2139/ssrn.4115559","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2022","doi":"10.2139/ssrn.4115559","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:47.157Z"},{"id":"doi:10.2139/ssrn.4309213","name":"Atmospheric Pollution in Chinese Cities: Trends and Persistence","source":"preprints","abstract":"","url":"https://doi.org/10.2139/ssrn.4309213","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2022","doi":"10.2139/ssrn.4309213","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:57.842Z"},{"id":"doi:10.2139/ssrn.3997569","name":"Role of Vehicular Emissions in Urban Air Quality: The Covid-19 Lockdown Experiment","source":"preprints","abstract":"","url":"https://doi.org/10.2139/ssrn.3997569","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2022","doi":"10.2139/ssrn.3997569","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:57.842Z"},{"id":"doi:10.2139/ssrn.4557690","name":"EXPLORING THE IMPACT OF COVID-19 ON TRANSPORTATION SYSTEM IN BANGALORE CITY","source":"preprints","abstract":"","url":"https://doi.org/10.2139/ssrn.4557690","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2023","doi":"10.2139/ssrn.4557690","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:47.157Z"},{"id":"doi:10.2139/ssrn.4037167","name":"Impact of the Sars-Cov-2 Lockdown Measures in Southern Spain on Pm10 Trace Elements Concentrations","source":"preprints","abstract":"","url":"https://doi.org/10.2139/ssrn.4037167","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2022","doi":"10.2139/ssrn.4037167","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:47.157Z"},{"id":"doi:10.2139/ssrn.3939417","name":"Air Quality During Mobility Restrictions in Sao Paulo State Municipalities","source":"preprints","abstract":"","url":"https://doi.org/10.2139/ssrn.3939417","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2021","doi":"10.2139/ssrn.3939417","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:47.157Z"},{"id":"doi:10.20944/preprints202302.0043.v1","name":"Quantifying the Effects of Different Containment Policies on Urban NO<sub>2</sub> Decline: Evidence From Remote Sensing Integrated With Ground-Station Data","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202302.0043.v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2023","doi":"10.20944/preprints202302.0043.v1","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:57.842Z"},{"id":"doi:10.20944/preprints202302.0098.v1","name":"Green Infrastructure and Slow Tourism. A Methodological Approach for Mining Heritage Accessibility in the Sulcis-Iglesiente Bioregion (Sardinia, Italy)","source":"preprints","abstract":"In European countries many measures are carried out to improve the disadvantaged conditions and socio-economic marginality of rural areas in comparison with central places. These conditions also affect the quality of travel for visitors and tourists. Therefore, in response to a 'new' tourist demand, motivated also by the restrictions following the spread of the Covid-19 virus in recent years, the institutions and the different local actors are working more incisively to improve rural areas. The rural tourism services offer, combined with the Green Infrastructure (GI) project, at different scales - from local to regional - prove to be interesting territorial development strategies to achieve the Agenda 2030 objectives. This contribution considers the Sulcis Iglesiente - Guspinese area, in the Sardinia Region (IT), as a case study. In this area, the landscape context is marked by past mining activity and the project of a path of historical, cultural and religious values has proved to be an activator of regenerative processes, in environmental, social and economic terms. The present study proposes a methodological approach to develop an index (FI - Feasibility Index) to assess the feasibility of the Stop Places (SPs) schemes along a horse trail to integrate the current slow mobility by bicycle and pedestrian in the bioregion.","url":"https://doi.org/10.20944/preprints202302.0098.v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2023","doi":"10.20944/preprints202302.0098.v1","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:57.842Z"},{"id":"doi:10.21203/rs.3.rs-2388616/v1","name":"Stringent non-pharmaceutical interventions increased the incidence of drunk driving-related road traffic crashes","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-2388616/v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2023","doi":"10.21203/rs.3.rs-2388616/v1","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:47.157Z"},{"id":"doi:10.2139/ssrn.4142175","name":"Development of Multi-Scale Indices of Social Distance Based on Local and Global Air Quality","source":"preprints","abstract":"","url":"https://doi.org/10.2139/ssrn.4142175","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2022","doi":"10.2139/ssrn.4142175","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:47.157Z"},{"id":"doi:10.2139/ssrn.4264634","name":"The Impact of Low Emission Zones on Personal Exposure to Ultrafine Particles in the Commuter Environment","source":"preprints","abstract":"","url":"https://doi.org/10.2139/ssrn.4264634","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2022","doi":"10.2139/ssrn.4264634","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:57.842Z"},{"id":"doi:10.64898/2025.12.02.691392","name":"Escalating human exposure to tropical mosquito-borne viruses in Europe","source":"preprints","abstract":"","url":"https://doi.org/10.64898/2025.12.02.691392","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.64898/2025.12.02.691392","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:54.187Z"},{"id":"doi:10.2139/ssrn.4077412","name":"The Impact of COVID-19 on Low- and Moderate- Income Housing Providers","source":"preprints","abstract":"","url":"https://doi.org/10.2139/ssrn.4077412","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2022","doi":"10.2139/ssrn.4077412","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:47.157Z"},{"id":"doi:10.2139/ssrn.4380029","name":"Have COVID Lockdowns Really Improved the Globalair Quality? –Hierarchical Observations from the Perspectives of Urban Agglomerations Using Atmospheric Reanalysis Data","source":"preprints","abstract":"","url":"https://doi.org/10.2139/ssrn.4380029","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2023","doi":"10.2139/ssrn.4380029","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:57.842Z"},{"id":"doi:10.21203/rs.3.rs-999242/v1","name":"On the Frontlines: an Exploratory Analysis of Unequal Exposure to Air Pollution and COVID-19 in the United States","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-999242/v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2021","doi":"10.21203/rs.3.rs-999242/v1","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:47.157Z"},{"id":"doi:10.2139/ssrn.4326533","name":"Evaluation of Urban Resilience in the Post-COVID-19 Period: A Case Study of the Yangtze Delta City Group in China","source":"preprints","abstract":"","url":"https://doi.org/10.2139/ssrn.4326533","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2023","doi":"10.2139/ssrn.4326533","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:57.842Z"},{"id":"doi:10.2139/ssrn.4015368","name":"Are Urban Hotspots to Avoid or to Embrace? Determining the Resilience of Auckland City's Urban Hotspots Under Lockdown Constraints","source":"preprints","abstract":"","url":"https://doi.org/10.2139/ssrn.4015368","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2022","doi":"10.2139/ssrn.4015368","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:57.842Z"},{"id":"doi:10.21203/rs.3.rs-2769579/v1","name":"Impact of COVID-19 on Black Carbon and Carbon monoxide levels and its health risk assessment over East India","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-2769579/v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2023","doi":"10.21203/rs.3.rs-2769579/v1","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:47.157Z"},{"id":"doi:10.2139/ssrn.3891885","name":"Trends in the Reduction of Nitrogen Dioxide Emissions: Effect of 2020 SARS-CoV-2 Pandemic Versus Emission Reduction Regulations","source":"preprints","abstract":"","url":"https://doi.org/10.2139/ssrn.3891885","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2021","doi":"10.2139/ssrn.3891885","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:57.842Z"},{"id":"doi:10.2139/ssrn.4423042","name":"Environmental Press of Urban Greenspace Pre-Post COVID on Older Adults: A Big Data Study in Metropolitan Atlanta","source":"preprints","abstract":"","url":"https://doi.org/10.2139/ssrn.4423042","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2023","doi":"10.2139/ssrn.4423042","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:47.157Z"},{"id":"doi:10.21203/rs.3.rs-3359714/v1","name":"Identifying hot spots of cardiometabolic risk factors in a Swiss city: impact of individual and environmental factors","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-3359714/v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2023","doi":"10.21203/rs.3.rs-3359714/v1","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:57.842Z"},{"id":"doi:10.1101/2024.02.27.24303385","name":"Dispersal history of SARS-CoV-2 in Galicia, Spain","source":"preprints","abstract":"","url":"https://doi.org/10.1101/2024.02.27.24303385","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.1101/2024.02.27.24303385","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:50.412Z"},{"id":"doi:10.2139/ssrn.4367692","name":"Explaining Commuter Transport Choice During the COVID-19 Pandemic in Brazil: A Study Based on the Theory of Planned Behavior","source":"preprints","abstract":"","url":"https://doi.org/10.2139/ssrn.4367692","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2023","doi":"10.2139/ssrn.4367692","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:47.157Z"},{"id":"doi:10.20944/preprints202105.0104.v1","name":"The environmental impact of SARS-CoV-2: an assessment of the health risks of air pollution during the pandemic","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202105.0104.v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2021","doi":"10.20944/preprints202105.0104.v1","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:47.157Z"},{"id":"doi:10.2139/ssrn.4438234","name":"Transitory Sustainability Effects of Behavioral Changes: Short-Term Benefits of COVID-19 Lockdowns Reversed Over Time, Resulting in More Wildfires in the Amazon","source":"preprints","abstract":"","url":"https://doi.org/10.2139/ssrn.4438234","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2023","doi":"10.2139/ssrn.4438234","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:47.157Z"},{"id":"doi:10.20944/preprints202103.0396.v1","name":"Machine Learning on the COVID-19 Pandemic, Human Mobility, and Air Quality: A Review","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202103.0396.v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2021","doi":"10.20944/preprints202103.0396.v1","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:57.842Z"},{"id":"doi:10.1101/2021.04.08.21255169","name":"The allometric propagation of COVID-19 is explained by human travel","source":"preprints","abstract":"","url":"https://doi.org/10.1101/2021.04.08.21255169","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2021","doi":"10.1101/2021.04.08.21255169","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:47.157Z"},{"id":"doi:10.20944/preprints202203.0245.v1","name":"Deep Journalism and DeepJournal V1.0: A Data-Driven Deep Learning Approach to Discover Parameters for Transportation (As A Case Study)","source":"preprints","abstract":"We live in a complex world characterised by complex people, complex times, and complex social, technological, and ecological environments. There is clear evidence that governments are failing at most public matters. The recent COVID-19 pandemic is a high example of global governance failure both at preventing such pandemics and managing the COVID-19 pandemic. It is time that all of us take responsibility and look into ways of collaboratively improving the governance of public matters, our matters. While there are many reasons for government failures, we believe the lack of information availability is a fundamental reason that limits the government’s ability to act smartly and allows the lack of transparency to creep into policy and action leading to corruption and failure. To this end, this paper introduces the concept of deep journalism, a data-driven deep learning-based approach for discovering multi-perspective parameters related to a topic of interest. We build three datasets (a newspaper, a technology magazine, and a Web of Science dataset) and discover the academic, industrial, public, governance, and political parameters for the transportation sector as a case study to introduce deep journalism and our tool DeepJournal (Version 1.0) that implements our proposed approach. We elaborate on 89 transportation parameters and hundreds of dimensions reviewing 400 technical, academic, and news articles. The findings related to the multi-perspective view of transportation reported in this paper show that there are many important problems seen by the public that industry and academia seem to not place their focus on. On the other hand, academia produces much broader and deeper knowledge on the subject such as a wide range of pollutions affecting the people and planet do not get to reach the public eye. Our deep journalism approach could find the gaps and highlight them to the public and other stakeholders.","url":"https://doi.org/10.20944/preprints202203.0245.v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2022","doi":"10.20944/preprints202203.0245.v1","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:57.842Z"},{"id":"doi:10.2139/ssrn.3982518","name":"Impact of Covid-19 on the Mobility Patterns: An Investigation of Taxi Trips in Chicago","source":"preprints","abstract":"","url":"https://doi.org/10.2139/ssrn.3982518","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2022","doi":"10.2139/ssrn.3982518","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:57.842Z"},{"id":"doi:10.21203/rs.3.rs-2544748/v1","name":"Field study on ventilation rate and COVID-19 infection risks in an office building in Shenzhen, China","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-2544748/v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2023","doi":"10.21203/rs.3.rs-2544748/v1","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:57.842Z"},{"id":"doi:10.2139/ssrn.4422902","name":"Economic Impacts of China’s Zero-COVID Policies","source":"preprints","abstract":"","url":"https://doi.org/10.2139/ssrn.4422902","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2023","doi":"10.2139/ssrn.4422902","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:57.842Z"},{"id":"doi:10.21203/rs.3.rs-3293802/v1","name":"Implementation of Cloud Assisted Optical Sensor System for Smart City Environment Using IoT Assistance","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-3293802/v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2023","doi":"10.21203/rs.3.rs-3293802/v1","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:47.157Z"},{"id":"doi:10.2139/ssrn.4507801","name":"Microplastics in Ecuador: A Review of Environmental and Health-Risk Assessment Challenges","source":"preprints","abstract":"","url":"https://doi.org/10.2139/ssrn.4507801","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2023","doi":"10.2139/ssrn.4507801","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:57.842Z"},{"id":"doi:10.2139/ssrn.4366756","name":"Diffuse Factors of COVID-19 in Environment and Related Health Effects","source":"preprints","abstract":"","url":"https://doi.org/10.2139/ssrn.4366756","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2023","doi":"10.2139/ssrn.4366756","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:52.485Z"},{"id":"doi:10.2139/ssrn.4145342","name":"The Role of the Socio-Economic Context in the Spread of the First Wave of COVID-19 in the Marche Region (Central Italy)","source":"preprints","abstract":"","url":"https://doi.org/10.2139/ssrn.4145342","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2022","doi":"10.2139/ssrn.4145342","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:47.157Z"},{"id":"doi:10.20944/preprints202102.0518.v1","name":"Next City: Learning from Cities During COVID-19 to Tackle Climate Change","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202102.0518.v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2021","doi":"10.20944/preprints202102.0518.v1","addedAt":"2026-08-31T06:39:39.647Z","updatedAt":"2026-08-31T06:39:57.842Z"},{"id":"doi:10.1109/aero63441.2025.11068734","name":"Cost-Effective Integration of CNS Infrastructure for Urban Air Mobility: Insights and Strategies","source":"crossref","abstract":"","url":"https://doi.org/10.1109/aero63441.2025.11068734","authors":["Faizana Naeem","Volker Gollnick"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-07-14T17:40:12Z","doi":"10.1109/aero63441.2025.11068734","addedAt":"2026-08-31T06:39:43.694Z","updatedAt":"2026-08-31T06:39:57.284Z"},{"id":"doi:10.31219/osf.io/5m924","name":"Public opinions on Urban Air Mobility – The significance of contributing to the common good","source":"crossref","abstract":"With growing populations in metropolitan areas and increasing individual traffic, new, safe and efficient transport modes are being explored to meet rising social and environmental demands. So-called Unmanned Aerial Vehicles (UAV), which are autonomously controlled and capable of vertical take-off and landing, allow for a range of different use cases, including the transport of packages, medical goods, or passengers. Manufacturers such as Airbus, Lilium or Volocopter already have successfully carried out the first test flights with unmanned drones in Germany, underlining their ambitions to launch UAM operations in the near future. However, next to technological, legal and infrastructural barriers, one of the main challenges ahead of market introduction is the acceptance of UAM operations by potential users and the public. Therefore, the goal of this research is to explore public acceptance of various use cases of Urban Air Mobility as well as the factors that influence the individuals’ intention to use UAM services in the future.","url":"https://doi.org/10.31219/osf.io/5m924","authors":["Frederica Janotta","Louisa Peine","Jens Hogreve"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2021-05-05T05:12:27Z","doi":"10.31219/osf.io/5m924","addedAt":"2026-08-31T06:39:43.694Z","updatedAt":"2026-08-31T06:39:57.284Z"},{"id":"doi:10.3390/aerospace12070605","name":"Enhancing Urban Air Mobility Scheduling Through Declarative Reasoning and Stakeholder Modeling","source":"crossref","abstract":"The goal of this paper is to optimize mission schedules for vertical airports (vertiports in short) to satisfy the different needs of stakeholders. We model the problem as a resource-constrained project scheduling problem (RCPSP) to obtain the best resource allocation and schedule. As a new approach to solving the RCPSP, we propose answer set programming (ASP). This is in contrast to the existing research using MILP as a solution to the RCPSP. Our approach can take complex scheduling restrictions and stakeholder-specific requirements. In addition, we formalize and include stakeholder needs using a knowledge representation and reasoning framework. Our experiments show that the proposed method can generate practical schedules that reflect what stakeholders actually need. In particular, we show that our approach can compute optimal schedules more efficiently and flexibly than previous approaches. We believe that this approach is suitable for the dynamic and complex environments of vertiports.","url":"https://doi.org/10.3390/aerospace12070605","authors":["Jeongseok Kim","Kangjin Kim"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-07-03T09:57:39Z","doi":"10.3390/aerospace12070605","addedAt":"2026-08-31T06:39:43.694Z","updatedAt":"2026-08-31T06:39:57.284Z"},{"id":"doi:10.5194/ems2026-257","name":"Evaluation and Correction of Doppler Lidar–Derived Turbulent Kinetic Energy for Urban Air Mobility Applications","source":"crossref","abstract":"Turbulent kinetic energy (TKE) is a fundamental parameter for characterizing atmospheric turbulence and is essential for assessing hazardous weather conditions that directly impact Urban Air Mobility (UAM) operations. Accurate estimation of turbulence intensity is particularly important for ensuring the safety and efficiency of low-altitude urban airspace, where UAM vehicles operate under complex and highly variable atmospheric conditions. While three-dimensional sonic anemometers are widely regarded as the reference standard for TKE estimation due to their high temporal resolution and accuracy, their measurements are inherently limited in spatial representativeness, especially in heterogeneous urban environments.Doppler lidar has emerged as a promising remote sensing technology capable of providing spatially distributed wind and turbulence information over extended areas, making it highly suitable for operational applications in UAM. In this study, TKE estimates derived from Doppler lidar are systematically compared with those obtained from three-dimensional sonic anemometers collocated on a 300 m meteorological tower. The analysis reveals that lidar-derived TKE is consistently higher than that measured by the sonic anemometer.To investigate the underlying causes of this discrepancy, several potential error sources are examined, including volume averaging effects associated with the lidar measurement volume, instrumental noise, limitations in scanning strategies, and assumptions involved in retrieving velocity variances. Furthermore, multiple correction techniques are explored to enhance the reliability of lidar-based TKE estimates, such as noise filtering, spectral correction methods, and adjustments accounting for spatial averaging effects. The performance of these correction approaches is quantitatively evaluated through direct comparison with reference measurements from the sonic anemometer.The findings of this study improve the accuracy of Doppler lidar–derived turbulence measurements and support the development of reliable hazardous weather information systems for conditions such as turbulence, wind shear, and crosswind. Ultimately, this research provides a robust scientific foundation for real-time turbulence monitoring and contributes to safer and more efficient UAM operations in complex urban environments.","url":"https://doi.org/10.5194/ems2026-257","authors":["Byung Hyuk Kwon","Anseok Yu","Yeonung Jung"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-06-22T18:49:28Z","doi":"10.5194/ems2026-257","addedAt":"2026-08-31T06:39:43.694Z","updatedAt":"2026-08-31T06:39:57.284Z"},{"id":"doi:10.1016/j.jclepro.2023.136009","name":"The Environmental Life Cycle Costs (ELCC) of Urban Air Mobility (UAM) as an input for sustainable urban mobility","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.jclepro.2023.136009","authors":["Adam Liberacki","Barbara Trincone","Gabriella Duca","Luigi Aldieri","Concetto Paolo Vinci","Fabio Carlucci"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-01-16T05:32:29Z","doi":"10.1016/j.jclepro.2023.136009","addedAt":"2026-08-31T06:39:43.694Z","updatedAt":"2026-08-31T06:39:57.284Z"},{"id":"doi:10.2514/6.2024-0454","name":"Enabling Safe and Scalable Urban Air Mobility: An Air Traffic Management and Communication Framework for Seamless Air Space Integration","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2024-0454","authors":["Markus Ortlieb","Benjamin Heibült","Carlin Wagner","Florian Löhr","Jörn Jäger"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-01-29T21:41:50Z","doi":"10.2514/6.2024-0454","addedAt":"2026-08-31T06:39:43.694Z","updatedAt":"2026-08-31T06:39:57.284Z"},{"id":"doi:10.2514/6.2022-3404","name":"Noise Impact Analysis for Urban Air Mobility in Dallas-Fort Worth Metroplex","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2022-3404","authors":["Hok Kwan Ng"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2022-06-21T07:07:36Z","doi":"10.2514/6.2022-3404","addedAt":"2026-08-31T06:39:43.694Z","updatedAt":"2026-08-31T06:39:57.284Z"},{"id":"doi:10.4271/2022-26-0008","name":"Next-Gen Maintenance Framework for Urban Air Mobility Vehicles","source":"crossref","abstract":"&lt;div class=\"section abstract\"&gt;&lt;div class=\"htmlview paragraph\"&gt;Urban Air Mobility (UAM) vehicles are set to revolutionize the mobility of man and material in near future. One of the key areas to explore is how operational efficiency can be maximized through the next generation Maintenance framework. The UAM operational models may fundamentally change how aircraft maintenance is conducted. An important aspect of UAM is low altitude flying. This enables cellular technologies to be leveraged for air-to-ground as well as air-to-air communication. This implies a low cost, high speed air-to-ground data pipe is available, which leads to the concept of Digital Twin to be leveraged to optimize the operation and maintenance. This enables near real time availability of the state of UAM vehicle and its subsystems, even when it is flying. This paper captures the Next-Gen Maintenance framework along with several value-added services that can be built around it.&lt;/div&gt;&lt;/div&gt;","url":"https://doi.org/10.4271/2022-26-0008","authors":["Sandeep Kulkarni","Renju Panicker","Murali Kadeppagari","Imtiaz Elahi"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2022-05-26T05:01:47Z","doi":"10.4271/2022-26-0008","addedAt":"2026-08-31T06:39:43.694Z","updatedAt":"2026-08-31T06:39:57.284Z"},{"id":"doi:10.1080/12265934.2026.2648837","name":"Urban air mobility and drone safety in cities: accident rate prediction and smart city integration","source":"crossref","abstract":"","url":"https://doi.org/10.1080/12265934.2026.2648837","authors":["HanYeol Beak","JungHoon Kim"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-03-31T04:49:00Z","doi":"10.1080/12265934.2026.2648837","addedAt":"2026-08-31T06:39:43.694Z","updatedAt":"2026-08-31T06:39:57.284Z"},{"id":"doi:10.2514/6.2020-3191","name":"Developing Urban Air Mobility Vehicle Models to Support Air Traffic Management Concept Development","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2020-3191","authors":["Marc Shaw-Lecerf","Carla Ingram","Franklin Gu","William Chung","Al Paris"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2020-06-08T17:02:08Z","doi":"10.2514/6.2020-3191","addedAt":"2026-08-31T06:39:43.694Z","updatedAt":"2026-08-31T06:39:57.284Z"},{"id":"doi:10.1007/978-3-030-61075-3_28","name":"Strategic Planning for Urban Air Mobility: Perceptions of Citizens and Potential Users on Autonomous Flying Vehicles","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-030-61075-3_28","authors":["Tomás Ferreira","Sofia Kalakou"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2020-11-03T04:10:50Z","doi":"10.1007/978-3-030-61075-3_28","addedAt":"2026-08-31T06:39:43.694Z","updatedAt":"2026-08-31T06:39:57.284Z"},{"id":"doi:10.3390/urbansci10070412","name":"Air Quality in Urban Mobility Hubs: An Analysis of Particulate Matter in Underground Transport Spaces","source":"crossref","abstract":"Enclosed transport environments are becoming an integral part of compact urban structures; however, their air quality is monitored less systematically than that of the outdoor urban environment. This study evaluates particulate matter concentrations (PM1, PM2.5, PM10) in two urban microenvironments in Banská Bystrica (Slovakia): an underground parking garage (representing private urban mobility) and an underground bus station (representing public transport). Continuous measurements using an enviDUST monitoring device were analysed in relation to occupancy rates and transport intensity. The results showed a dominance of the PM10 fraction in both environments, suggesting the importance of non-exhaust sources and dust resuspension in enclosed urban transport spaces. In the parking facility, the immediate relationship between occupancy and PM concentrations was weak; however, a time lag effect was observed, indicating particle accumulation. The bus station exhibited higher average concentrations (PM1: 8.67; PM2.5: 14.12; PM10: 34.12 µg/m3), while peak levels during nighttime highlighted the critical role of air stagnation and ventilation regimes. The study emphasizes the need to perceive such transport nodes as semi-public urban spaces requiring the integration of intelligent air quality management within sustainable urban development.","url":"https://doi.org/10.3390/urbansci10070412","authors":["Michal Loman","Veronika Harantová","Saša Milojević"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-07-17T03:12:38Z","doi":"10.3390/urbansci10070412","addedAt":"2026-08-31T06:39:43.694Z","updatedAt":"2026-08-31T06:39:57.284Z"},{"id":"doi:10.2307/j.ctt1ddr8gr.6","name":"Discovering Air Mobility","source":"crossref","abstract":"","url":"https://doi.org/10.2307/j.ctt1ddr8gr.6","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2017-09-07T21:36:45Z","doi":"10.2307/j.ctt1ddr8gr.6","addedAt":"2026-08-31T06:39:43.694Z","updatedAt":"2026-08-31T06:39:57.284Z"},{"id":"doi:10.1016/j.jairtraman.2024.102654","name":"Potential market based policy considerations for urban air mobility","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.jairtraman.2024.102654","authors":["Munhyun Chae","Sang Ho Kim","Migyoung Kim","Hee-Tae Park","Sang Hyun Kim"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-07-28T17:51:37Z","doi":"10.1016/j.jairtraman.2024.102654","addedAt":"2026-08-31T06:39:43.694Z","updatedAt":"2026-08-31T06:39:57.284Z"},{"id":"doi:10.1201/9781003339953-3","name":"System Dynamics Model of Urban Transportation System","source":"crossref","abstract":"","url":"https://doi.org/10.1201/9781003339953-3","authors":["V. Sakthivel","Sourav Patel Kurmi","P. Prakash","Sam Goundar","Jueying Li"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-01-20T15:58:27Z","doi":"10.1201/9781003339953-3","addedAt":"2026-08-31T06:39:43.694Z","updatedAt":"2026-08-31T06:39:57.284Z"},{"id":"doi:10.1016/j.uclim.2026.102774","name":"Long-term impact of micro-mobility on air and noise pollution: A GIS approach","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.uclim.2026.102774","authors":["Emre Kuşkapan"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-01-08T04:27:28Z","doi":"10.1016/j.uclim.2026.102774","addedAt":"2026-08-31T06:39:43.694Z","updatedAt":"2026-08-31T06:39:57.284Z"},{"id":"doi:10.2139/ssrn.5402391","name":"Vertiport Location Planning for Urban Air Mobility Airport Shuttle Services Under Uncertainty","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.5402391","authors":["Gideon Gottschalg","Arne Strauss","Nikola Ivanov","Bojana Mirkovic","Juan  Blasco Puyuelo"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-08-22T23:42:11Z","doi":"10.2139/ssrn.5402391","addedAt":"2026-08-31T06:39:43.694Z","updatedAt":"2026-08-31T06:39:57.284Z"},{"id":"doi:10.2139/ssrn.4363584","name":"Telematics Data for Geospatial and Temporal Mapping of Urban Mobility: Fuel Consumption, and Air Pollutant and Climate-Forcing Emissions","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.4363584","authors":["Francis Pope","Omid Ghaffarpasand"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-02-19T02:30:03Z","doi":"10.2139/ssrn.4363584","addedAt":"2026-08-31T06:39:43.694Z","updatedAt":"2026-08-31T06:39:57.284Z"},{"id":"doi:10.2139/ssrn.6570207","name":"CREST: A Constraint-Respecting Residual Framework for Safe UAV Trajectory Planning in Urban Air Mobility","source":"crossref","abstract":"The rapid advancement of urban air mobility requires unmanned aerial vehicles (UAVs) to navigate safely through complex, non-convex urban environments under strict physical constraints. While generative planners can model multimodal solution distributions, they often lack explicit feasibility guarantees and suffer from scale–precision coupling when regressing full waypoint sequences in the raw state space. In this paper, we propose CREST, a constraint-respecting estimation framework for safe trajectories. Unlike mainstream methods that regress full coordinates in the raw state space, CREST reformulates trajectory planning as a hierarchical residual learning task. The framework first employs a topology-prior network to infer a global feasible homotopy class anchored on a linear baseline, which is followed by a residual diffusion polisher that refines local geometric details within the residual space. To ensure rigorous safety, we introduce a soft-to-hard constraint assurance mechanism that synergizes kinematics-aware geometric pre-guidance during the diffusion sampling process with a lightweight safety guarantee module for post-processing. Experimental results demonstrate that CREST achieves a 100\\% success rate in both obstacle avoidance and kinematic feasibility, significantly outperforming representative baselines such as A* and RRT*. Furthermore, CREST maintains the diversity of the solution space, providing a robust and efficient solution for UAV trajectory planning in dense urban canyons.","url":"https://doi.org/10.2139/ssrn.6570207","authors":["Mai Haohui","Li Zhaoying","Zhang Yan","Hao Liu"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-04-13T18:37:54Z","doi":"10.2139/ssrn.6570207","addedAt":"2026-08-31T06:39:43.694Z","updatedAt":"2026-08-31T06:39:57.284Z"},{"id":"doi:10.2514/6.2019-3629","name":"Exploring human factors issues for urban air mobility operations","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2019-3629","authors":["Tamsyn E. Edwards","Savita Verma","Jillian Keeler"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2019-06-15T13:37:16Z","doi":"10.2514/6.2019-3629","addedAt":"2026-08-31T06:39:43.694Z","updatedAt":"2026-08-31T06:39:57.284Z"},{"id":"doi:10.1109/ccta.2019.8920446","name":"Hierarchical Path Planning for Urban On-Demand Air Mobility","source":"crossref","abstract":"","url":"https://doi.org/10.1109/ccta.2019.8920446","authors":["Dantong Ge","Ufuk Topcu"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2019-12-06T09:11:37Z","doi":"10.1109/ccta.2019.8920446","addedAt":"2026-08-31T06:39:43.694Z","updatedAt":"2026-08-31T06:39:57.284Z"},{"id":"doi:10.1109/vnc52810.2021.9644626","name":"Scheduling Aerial Vehicles in an Urban Air Mobility Scheme","source":"crossref","abstract":"","url":"https://doi.org/10.1109/vnc52810.2021.9644626","authors":["Emmanouil S. Rigas","Panayiotis Kolios","Georgios Ellinas"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2021-12-17T20:35:19Z","doi":"10.1109/vnc52810.2021.9644626","addedAt":"2026-08-31T06:39:43.694Z","updatedAt":"2026-08-31T06:39:57.284Z"},{"id":"doi:10.2514/6.2025-0580","name":"Energy-Aware Strategic Traffic Management for Urban Air Mobility","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2025-0580","authors":["Abenezer G. Taye","Shulu Chen","Peng Wei"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-02-12T09:44:16Z","doi":"10.2514/6.2025-0580","addedAt":"2026-08-31T06:39:43.694Z","updatedAt":"2026-08-31T06:39:57.284Z"},{"id":"doi:10.2514/6.2022-3793","name":"Modeling Review and Recommendations for Ubiquitous Urban Air Mobility Operations","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2022-3793","authors":["Brandon E. Sells","William A. Crossley"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2022-06-21T07:07:36Z","doi":"10.2514/6.2022-3793","addedAt":"2026-08-31T06:39:43.694Z","updatedAt":"2026-08-31T06:39:56.012Z"},{"id":"doi:10.2514/6.2022-1092","name":"Immutable Secure Data Exchange and Storage for Urban Air Mobility Environments","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2022-1092","authors":["Kenneth Freeman","Steve W. Garcia"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2022-01-04T06:25:25Z","doi":"10.2514/6.2022-1092","addedAt":"2026-08-31T06:39:43.694Z","updatedAt":"2026-08-31T06:39:57.284Z"},{"id":"doi:10.36227/techrxiv.175296359.98980093/v1","name":"3D Simulation of Advanced Air Mobility Vehicles in a Photorealistic Urban Environment","source":"crossref","abstract":"In recent years, the concepts of Urban Air Mobility (UAM) and Advanced Air Mobility (AAM) have risen rapidly. While the companies designing and manufacturing them focus on creating some of the marvellous aircraft in existence, the MIMS Lab has been exploring options to develop a custom simulator for UAM vehicles from different perspectives. This paper presents a proof-ofconcept application designed using Unreal Engine and Cesium plugin and assets collected and modified from various online databases to produce a photorealistic flight simulator focused on UAM flight and traffic. While the project is still in its infancy, this paper presents proof of concept for a possible scenario for UAM vehicles navigating in an urban setup such as the City of Toronto. Here, three modes of simulation are presented: a pre-programmed flight with a tunnel-inthe-sky corridor for Head-Up Display (HUD) visualization, a tower view perspective to monitor multiple UAM flights within the area, and a pilot-controlled Vertical TakeOff and Landing (VTOL) flights between different helipads in Downtown Toronto. As the project progresses, the plans include implementing proper flight dynamic models for multiple recognized aircraft that fall under the UAM category and conducting a pilot study to obtain their perspectives, areas of improvement and results.","url":"https://doi.org/10.36227/techrxiv.175296359.98980093/v1","authors":["Mohsen Rostami","Pratik Pradhan","Jeffery Omorodion","Aditya Venkatesh","Charith Kongara","Joon Chung"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-07-19T22:20:03Z","doi":"10.36227/techrxiv.175296359.98980093/v1","addedAt":"2026-08-31T06:39:43.694Z","updatedAt":"2026-08-31T06:39:57.284Z"},{"id":"doi:10.2514/6.2019-0949","name":"Sensor constrained flight envelope for urban air mobility","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2019-0949","authors":["Prashin Sharma","Cosme A. Ochoa","Ella M. Atkins"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2019-01-07T05:52:39Z","doi":"10.2514/6.2019-0949","addedAt":"2026-08-31T06:39:43.694Z","updatedAt":"2026-08-31T06:39:57.284Z"},{"id":"doi:10.1175/bams-d-19-0148.1","name":"Urban Air Mobility: Opportunities for the Weather Community","source":"crossref","abstract":"","url":"https://doi.org/10.1175/bams-d-19-0148.1","authors":["Matthias Steiner"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2019-11-25T15:42:22Z","doi":"10.1175/bams-d-19-0148.1","addedAt":"2026-08-31T06:39:43.694Z","updatedAt":"2026-08-31T06:39:57.284Z"},{"id":"doi:10.2514/6.2020-0660","name":"An Efficient Algorithm for Self-Organized Terminal Arrival in Urban Air Mobility","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2020-0660","authors":["Josh Bertram","Peng Wei"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2020-01-05T12:55:51Z","doi":"10.2514/6.2020-0660","addedAt":"2026-08-31T06:39:43.694Z","updatedAt":"2026-08-31T06:39:57.284Z"},{"id":"doi:10.2139/ssrn.5116293","name":"Data-Driven Handling Qualities Assessment for Urban Air Mobility Vehicles Using Physiological Signals","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.5116293","authors":["Shuguang Zhang","Yibing Wu","Michael Zintl","Florian Holzapfel","Jun Huang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-02-05T22:37:37Z","doi":"10.2139/ssrn.5116293","addedAt":"2026-08-31T06:39:43.694Z","updatedAt":"2026-08-31T06:39:57.284Z"},{"id":"doi:10.2514/6.2019-3519","name":"Pre-Departure Planning for Urban Air Mobility Flights with Dynamic Airspace Reservation","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2019-3519","authors":["Guodong Zhu","Peng Wei"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2019-06-15T13:37:16Z","doi":"10.2514/6.2019-3519","addedAt":"2026-08-31T06:39:43.694Z","updatedAt":"2026-08-31T06:39:57.284Z"},{"id":"doi:10.2514/6.2022-3911","name":"A Graph-based Reinforcement Learning Framework for Urban Air Mobility Fleet Scheduling","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2022-3911","authors":["Steve Paul","Souma Chowdhury"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2022-06-21T07:07:36Z","doi":"10.2514/6.2022-3911","addedAt":"2026-08-31T06:39:43.694Z","updatedAt":"2026-08-31T06:39:57.284Z"},{"id":"doi:10.2514/6.2022-0152","name":"High-Fidelity Simulations of a Quadrotor Vehicle for Urban Air Mobility","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2022-0152","authors":["Patricia Ventura Diaz","Steven Yoon"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2022-01-03T21:30:33Z","doi":"10.2514/6.2022-0152","addedAt":"2026-08-31T06:39:43.694Z","updatedAt":"2026-08-31T06:39:57.284Z"},{"id":"doi:10.4324/9780203864074-13","name":"Dakshina Chitra: Translating the Open-air Museum in Southern India","source":"crossref","abstract":"","url":"https://doi.org/10.4324/9780203864074-13","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2021-03-05T23:21:25Z","doi":"10.4324/9780203864074-13","addedAt":"2026-08-31T06:39:43.694Z","updatedAt":"2026-08-31T06:39:57.284Z"},{"id":"doi:10.2514/6.2023-0399","name":"Flight Control System Architecture for Urban Air Mobility Simplified Vehicle Operations","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2023-0399","authors":["Anthony M. Comer","Imon Chakraborty"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-01-20T20:11:41Z","doi":"10.2514/6.2023-0399","addedAt":"2026-08-31T06:39:43.694Z","updatedAt":"2026-08-31T06:39:57.284Z"},{"id":"doi:10.2514/6.2023-3664","name":"Integrated Vehicle and Subsystems Sizing for Electrified Urban Air Mobility Aircraft","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2023-3664","authors":["Stefanus H. Putra","Imon Chakraborty"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-06-08T11:36:49Z","doi":"10.2514/6.2023-3664","addedAt":"2026-08-31T06:39:43.694Z","updatedAt":"2026-08-31T06:39:57.284Z"},{"id":"doi:10.3280/sur2024-135007","name":"Urban Air Mobility. Un nuovo campo di ricerca sociologica","source":"crossref","abstract":"","url":"https://doi.org/10.3280/sur2024-135007","authors":["Carolina Mudan Marelli"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-01-13T15:05:32Z","doi":"10.3280/sur2024-135007","addedAt":"2026-08-31T06:39:43.694Z","updatedAt":"2026-08-31T06:39:57.284Z"},{"id":"doi:10.5194/egusphere-egu24-9475","name":"Using small sensors to measure the effect of mobility policies on urban air pollution","source":"crossref","abstract":"Small sensors have the potential to provide valuable complementary measurements to established air quality monitoring stations in urban areas. The flexible deployment options of small sensors also allow for short- or longer-term deployment to e.g., accompany policy implementations. Here we present the results from a number of case studies in Berlin where we used a combination of small sensors and reference instrumentation to assess individual policy&amp;#8217;s impacts on local air quality, a metric important to policymakers&amp;#8217; assessments of their success. These measurement campaigns included both the stationary and mobile deployment of small sensors, in collaboration with the city. Data generated by the small sensors were calibrated using co-locations and the open-source 7-step methodology developed in our group (Schmitz, et al. 2021, ACP). Measurements deployed alongside the implementation of several policies captured before-after measurements of nitrogen oxides (NOx) and particulate matter (PM). Data from the urban monitoring network was used to account for changes in meteorology and city-wide changes to assist in isolation of the signal from the policy implementations. Through the implementation of a new bike lane, cyclists&amp;#8217; exposure to NO2 was reduced by 20%; in another case, the closure of a street to vehicle traffic reduced local air pollution to the levels of the urban background. These results were subsequently accounted for by policymakers when determining the success of each measure, considering the implications for human health.","url":"https://doi.org/10.5194/egusphere-egu24-9475","authors":["Erika von Schneidemesser","Sean Schmitz","Alexandre Caseiro","Andreas Kerschbaumer"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-03-08T19:51:51Z","doi":"10.5194/egusphere-egu24-9475","addedAt":"2026-08-31T06:39:43.694Z","updatedAt":"2026-08-31T06:39:57.284Z"},{"id":"doi:10.2514/6.2018-3675","name":"The Evolution of Piloting for Aviation On –Demand/Urban Air Mobility","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2018-3675","authors":["Michael Feary"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2018-06-24T09:57:23Z","doi":"10.2514/6.2018-3675","addedAt":"2026-08-31T06:39:43.694Z","updatedAt":"2026-08-31T06:39:57.284Z"},{"id":"doi:10.2139/ssrn.4278284","name":"Viability of Piloted and Pilot-Less Air Metro: A Service Network Design for Scheduled Urban Air Mobility","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.4278284","authors":["Runqing Zhao","Tay T.R. Koo","Gabriel Lodewijks","Wei Liu"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2022-12-02T10:48:04Z","doi":"10.2139/ssrn.4278284","addedAt":"2026-08-31T06:39:43.694Z","updatedAt":"2026-08-31T06:39:57.284Z"},{"id":"doi:10.2139/ssrn.6460218","name":"Experimental Study of Urban Air Mobility Noise Based on Scaled-Model Tests","source":"crossref","abstract":"This study investigates how ground surface treatment and nearby buildings affect the noise radiation of a hovering unmanned aerial vehicle (UAV) using a scaled-model experimental setup. Sound pressure level spectra were measured along a linear microphone array and at locations on the building surfaces for multiple source positions. Spectral differences were evaluated in representative frequency bands to quantify frequency-dependent and spatial effects. An absorptive ground condition implemented using artificial grass, introduced as a non-rigid surface in contrast to the rigid ground, reduced high-frequency broadband noise by several decibels with minimal spatial variation along the array. In contrast, the presence of a building produced a clear spatial contrast between shadowed and unshielded regions at high frequencies, acting as a partial acoustic barrier. Both effects diminished at lower frequencies as diffraction and interference became more important. Although the band-averaged interaction between grass and building was small, localized narrowband variations were observed at specific frequencies, indicating frequency-selective interference effects. Measurements near the building surface further showed that the local spectral response could be sensitive to local configuration and hovering height. The results highlight the influence of surface conditions, structural layout, and operating clearance in scaled-model UAV noise studies and provide insight for urban air mobility noise assessment.","url":"https://doi.org/10.2139/ssrn.6460218","authors":["Zhangming Zeng","Tao Han","Huancai Lu","D.  Michael McFarland","Jiang Hanbo"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-03-23T19:40:43Z","doi":"10.2139/ssrn.6460218","addedAt":"2026-08-31T06:39:43.694Z","updatedAt":"2026-08-31T06:39:57.284Z"},{"id":"doi:10.2514/6.2019-2874","name":"Urban Air Mobility Minimum Viable Product","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2019-2874","authors":["Akaki Kunchulia","Thomas Edwards","Shahab Hasan","George Price"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2019-06-15T13:37:16Z","doi":"10.2514/6.2019-2874","addedAt":"2026-08-31T06:39:43.694Z","updatedAt":"2026-08-31T06:39:57.284Z"},{"id":"doi:10.2514/6.2023-2681","name":"Feasibility Study of Distributed Decision-Making on the Edge for Urban Air Mobility","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2023-2681","authors":["Aditya N. Das"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-01-21T01:59:16Z","doi":"10.2514/6.2023-2681","addedAt":"2026-08-31T06:39:43.694Z","updatedAt":"2026-08-31T06:39:57.284Z"},{"id":"doi:10.1109/icuas57906.2023.10156460","name":"Pilots in the Evolving Urban Air Mobility: From Manned to Unmanned Aviation","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icuas57906.2023.10156460","authors":["Yuran Shi"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-06-26T18:08:46Z","doi":"10.1109/icuas57906.2023.10156460","addedAt":"2026-08-31T06:39:43.694Z","updatedAt":"2026-08-31T06:39:57.284Z"},{"id":"doi:10.63169/igcai2025.p1","name":"Urban Air Mobility Meets AI: Building Scalable, Inclusive Corridors for Future-Ready Cities","source":"crossref","abstract":"As climate-related disruptions and urban congestion intensify, cities must adopt adaptive mobility strategies that extend beyond traditional ground infrastructure. This paper introduces a framework for AI-driven air mobility corridors designed to enhance urban resilience, particularly in underserved and disaster-prone areas. By integrating geospatial intelligence, real-time analytics, and autonomous aerial systems, the proposed solution enables dynamic routing, equitable access, and rapid emergency response. The framework aligns with the United Nations Sustainable Development Goals (SDGs) and leverages existing smart city infrastructure to support scalable, low-emission transport. Through illustrative use cases and system architecture, this study demonstrates how artificial intelligence can bridge aviation planning and humanitarian technology-offering a future-ready model for inclusive, climate-adaptive urban mobility.","url":"https://doi.org/10.63169/igcai2025.p1","authors":["Arnav Prakash"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-02-03T06:23:50Z","doi":"10.63169/igcai2025.p1","addedAt":"2026-08-31T06:39:43.694Z","updatedAt":"2026-08-31T06:39:57.284Z"},{"id":"doi:10.2514/6.2024-2300","name":"Wind Effects on Urban Air Mobility Noise During Landing Procedures","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2024-2300","authors":["Jeongwoo Ko","Brian German","Juergen Rauleder"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-01-30T01:50:11Z","doi":"10.2514/6.2024-2300","addedAt":"2026-08-31T06:39:43.694Z","updatedAt":"2026-08-31T06:39:57.284Z"},{"id":"doi:10.2514/6.2023-2539","name":"Online Probabilistic Collision Detection for Urban Air Mobility under Data-Driven Uncertainty","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2023-2539","authors":["Pengcheng Wu","Jun Chen"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-01-21T01:59:16Z","doi":"10.2514/6.2023-2539","addedAt":"2026-08-31T06:39:43.694Z","updatedAt":"2026-08-31T06:39:57.284Z"},{"id":"doi:10.4018/979-8-3373-4952-7.ch010","name":"Marketing Strategies for Integrating Urban Air Mobility into Sustainable Tourism","source":"crossref","abstract":"Urban Air Mobility (UAM), encompassing electric vertical take-off and landing (eVTOL) aircraft and vertiport infrastructures, is poised to redefine urban transportation and offer transformative opportunities for sustainable tourism. While technological and operational dimensions have been explored, the role of marketing strategies in integrating UAM into tourism ecosystems remains underexamined. This chapter investigates how UAM can act as a strategic enabler for destination appeal, environmentally conscious travel, and urban sustainability. Through a multidisciplinary lens, it explores tourism marketing trends, evolving consumer expectations, and partnerships between UAM providers and tourism stakeholders. Case studies from Paris, Dubai, and Singapore demonstrate how UAM is being positioned as both cutting-edge technology and value-added tourism innovation. The chapter provides actionable insights and strategic recommendations for aviation professionals, marketers, and policymakers committed to aligning UAM deployment with the goals of sustainable tourism development.","url":"https://doi.org/10.4018/979-8-3373-4952-7.ch010","authors":["Sandra Cristina Ortiz"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-11-05T15:55:39Z","doi":"10.4018/979-8-3373-4952-7.ch010","addedAt":"2026-08-31T06:39:43.694Z","updatedAt":"2026-08-31T06:39:57.284Z"},{"id":"doi:10.2514/6.2021-3203","name":"Noise Exposure Maps for Urban Air Mobility","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2021-3203","authors":["Jinhua Li","Hok Kwan Ng","Yun Zheng","Sebastian Gutierreznolasco"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2021-07-28T19:32:16Z","doi":"10.2514/6.2021-3203","addedAt":"2026-08-31T06:39:43.694Z","updatedAt":"2026-08-31T06:39:57.284Z"},{"id":"doi:10.1115/imece2021-69819","name":"Multi-Objective Model-Based Optimization of Pilot Decision Making for Urban Air Mobility","source":"crossref","abstract":"Abstract The emergence of an Urban Air Mobility (UAM) market utilizing fleets of vertical takeoff and land (VTOL) aircraft has the potential to shorten commutes, alleviate traffic congestion, and transform the way people interact with cities. Both industry and academic effort has been aimed towards predicting and simulating fleet activity for the purpose of informing vehicle design decisions and infrastructure planning activities. However, little effort has been targeted at analyzing aircraft fleet performance and sensitivity to pilot decision making, infrastructure availability, and changing vehicle characteristics. In this work, we utilize an existing proprietary, industry developed, discrete-event simulation tool that calculates air vehicle fleet performance with user specified vehicle and demand parameters. Building on this simulation, we then apply an optimization and sensitivity analysis, identifying the relative importance of different vehicle parameters, network attributes, decision making policies, and demand characteristics as they ultimately relate to objective functions that aim to maximize vehicle utilization and minimize the number of deadhead trips. The result of this analysis will inform critical requirements of the UAM market and highlight the importance of effective vehicle scheduling in a UAM scenario.","url":"https://doi.org/10.1115/imece2021-69819","authors":["Nicholas Holowsko","Christopher McComb"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2022-01-25T22:02:26Z","doi":"10.1115/imece2021-69819","addedAt":"2026-08-31T06:39:43.694Z","updatedAt":"2026-08-31T06:39:57.284Z"},{"id":"doi:10.3390/infrastructures9120239","name":"Vertiport Infrastructure Location Optimization for Equitable Access to Urban Air Mobility","source":"crossref","abstract":"Urban air mobility (UAM) has recently emerged as a promising new transportation mode, with various potential use cases. Facility location problems are well studied and of significant importance for various transportation modes. This work introduces a vertiport location identification framework, focusing on demand coverage and infrastructure accessibility. An Agglomerative Hierarchical Clustering (AHC) model was utilized for the identification of candidate vertiport locations, along with a k-means algorithm, for comparison and validation purposes, based on an estimated UAM demand pattern. A genetic algorithm (GA) was then formulated, for the solution of the proposed Uncapacitated and Capacitated Vertiport Location Problems (UVLP and CVLP, respectively), variations of the Uncapacitated and Capacitated Facility Location Problems. To evaluate and compare the introduced methodology, different existing facility location problems (FLPs) were considered and solved exactly using integer and linear programming. These are the Location Set Covering Problem (LSCP), the Maximal Coverage Location Problem (MCLP), and the p-median problem. The p-center problem was also considered and solved via a heuristic approach. The proposed framework is illustrated through applications in the Chicago Metropolitan Area, with the demand estimated on the basis of existing taxi and Transportation Network Company (TNC) data.","url":"https://doi.org/10.3390/infrastructures9120239","authors":["Vasileios Volakakis","Hani S. Mahmassani"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-12-23T10:58:55Z","doi":"10.3390/infrastructures9120239","addedAt":"2026-08-31T06:39:43.694Z","updatedAt":"2026-08-31T06:39:57.284Z"},{"id":"doi:10.2514/6.2018-3674","name":"Airborne Trajectory Management for Urban Air Mobility","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2018-3674","authors":["William B. Cotton","David J. Wing"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2018-06-24T13:57:23Z","doi":"10.2514/6.2018-3674","addedAt":"2026-08-31T06:39:43.694Z","updatedAt":"2026-08-31T06:39:57.284Z"},{"id":"doi:10.1109/aero53065.2022.9843555","name":"Flight Test Comparison of Three Air Vehicles Flying Urban Air Mobility Mission Trajectories","source":"crossref","abstract":"","url":"https://doi.org/10.1109/aero53065.2022.9843555","authors":["Brian A. Kish","Markus Wilde","Isaac Silver","Brooke Wheeler","Alexandra Cleveland","Kristjana Reppen"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2022-08-10T19:33:59Z","doi":"10.1109/aero53065.2022.9843555","addedAt":"2026-08-31T06:39:43.694Z","updatedAt":"2026-08-31T06:39:57.284Z"},{"id":"doi:10.2514/6.2025-0932","name":"MetroSky: High-Fidelity Photorealistic Simulator for Urban Air Mobility Vehicles","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2025-0932","authors":["Akash Ratheesh","Vincent Pacelli","Evangelos Theodorou"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-02-12T09:44:16Z","doi":"10.2514/6.2025-0932","addedAt":"2026-08-31T06:39:43.694Z","updatedAt":"2026-08-31T06:39:57.284Z"},{"id":"doi:10.2514/1.d0371","name":"Nationwide Demand Modeling for an Urban Air Mobility Commuting Mission","source":"crossref","abstract":"In this paper, we present a comprehensive and reproducible urban air mobility (UAM) demand model centered around publicly available data and open source tools capable of demand estimation at the national level. A discrete mode-choice demand model is developed using longitudinal origin–destination employment statistics flow data, American community survey economic data, and the Open Source Routing Machine (OSRM) to identify the utility of a UAM commuter service relative to other modes of transportation. Using the implemented model, we identify New York City, San Francisco, and Los Angeles as cities with the highest potential commuter demand, and Seattle as the city most resilient to increases in delay time. A sensitivity study of demand is performed and shows that strong demand exists for short trips with low total delay times and for longer trips with a low ticket price per kilometer, with the former showing resilience to increases in operational costs and the latter showing resilience to increases in delays. The demand model is supported by a speed-flow model, which fuses highway performance monitoring system data with OpenStreetMap data to provide traffic-adjusted road segment speeds to OSRM. The speed-flow model has the capability of providing congestion data for road segments across the United States without the use of commercial data sets or routing services and is shown to improve routing duration accuracy in congested regions.","url":"https://doi.org/10.2514/1.d0371","authors":["Mark T. Kotwicz Herniczek","Brian J. German"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-10-03T10:05:02Z","doi":"10.2514/1.d0371","addedAt":"2026-08-31T06:39:43.694Z","updatedAt":"2026-08-31T06:39:57.284Z"},{"id":"doi:10.1016/b978-0-443-40407-8.00003-5","name":"Strategies to reduce air pollution through sustainable energy practices in households, the urban economy, and mobility","source":"crossref","abstract":"","url":"https://doi.org/10.1016/b978-0-443-40407-8.00003-5","authors":["Patricia Ferrini Rodrigues","Renata Facundes da Costa"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-11-29T05:23:11Z","doi":"10.1016/b978-0-443-40407-8.00003-5","addedAt":"2026-08-31T06:39:43.694Z","updatedAt":"2026-08-31T06:39:57.284Z"},{"id":"doi:10.1016/j.jairtraman.2023.102460","name":"New infrastructures for Urban Air Mobility systems: A systematic review on vertiport location and capacity","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.jairtraman.2023.102460","authors":["Matteo Brunelli","Chiara Caterina Ditta","Maria Nadia Postorino"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-07-28T11:03:14Z","doi":"10.1016/j.jairtraman.2023.102460","addedAt":"2026-08-31T06:39:43.694Z","updatedAt":"2026-08-31T06:39:56.012Z"},{"id":"doi:10.3390/aerospace12040306","name":"Urban Air Mobility Aircraft Operations in Urban Environments: A Review of Potential Safety Risks","source":"crossref","abstract":"The expansion of Urban Air Mobility (UAM) has led to diverse aircraft designs, with piloted systems expected to evolve into remotely piloted and automated operations. Future advancements in Intelligent Transportation Systems (ITSs) will further improve automation capabilities, promising significant benefits to the environment and overall efficiency of UAM aircraft. However, UAM aircraft face unique operational conditions that need to be accounted for when assessing safety risks, such as lower operating altitudes and hazards present in urban settings, thus leading to a potential increased risk of collisions with foreign objects, particularly birds and drones. This paper reviews historical safety data with an aim to better assess the potential risks of UAM aircraft. A survey was conducted to gather quantitative and qualitative insights from subject matter experts, reinforcing findings from existing studies. The results highlight the need for a comprehensive risk assessment framework to guide design improvements and regulatory strategies, ensuring safer UAM operations.","url":"https://doi.org/10.3390/aerospace12040306","authors":["Chananya Charnsethikul","Jose M. Silva","Wim J. C. Verhagen","Raj Das"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-04-04T06:52:56Z","doi":"10.3390/aerospace12040306","addedAt":"2026-08-31T06:39:43.694Z","updatedAt":"2026-08-31T06:39:56.012Z"},{"id":"doi:10.1016/j.jairtraman.2025.102760","name":"Vertiport location selection criteria for urban air mobility","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.jairtraman.2025.102760","authors":["Tulin Mercan","Volkan Yavas","Dilek Can","Yasin Mercan"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-02-24T19:56:47Z","doi":"10.1016/j.jairtraman.2025.102760","addedAt":"2026-08-31T06:39:43.694Z","updatedAt":"2026-08-31T06:39:57.284Z"},{"id":"doi:10.1016/j.urbmob.2025.100117","name":"Data-driven vertiport siting: A comparative analysis of clustering methods for Urban Air Mobility","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.urbmob.2025.100117","authors":["Tao Guo","Hao Wu","Shahriar Iqbal Zame","Constantinos Antoniou"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-05-12T17:38:45Z","doi":"10.1016/j.urbmob.2025.100117","addedAt":"2026-08-31T06:39:43.694Z","updatedAt":"2026-08-31T06:39:57.284Z"},{"id":"doi:10.2307/j.ctt1ddr8gr.21","name":"Vietnam:","source":"crossref","abstract":"","url":"https://doi.org/10.2307/j.ctt1ddr8gr.21","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2017-09-07T17:36:45Z","doi":"10.2307/j.ctt1ddr8gr.21","addedAt":"2026-08-31T06:39:43.694Z","updatedAt":"2026-08-31T06:39:57.284Z"},{"id":"doi:10.47899/ijss.1251193","name":"Geleneksel Hava Taksi İle Kentsel Hava Hareketliliğinin Karşılaştırmalı Analizi","source":"crossref","abstract":"Süper akıllı toplum 5.0’ın hedefleri arasında yer alan mobility devriminin hava ayağı olarak kabul edebileceğimiz, Kentsel Hava Hareketliliği (KHH) tanım olarak; bir şehir alanı içinde isteğe bağlı veya tarifeli hava taşımacılığı hizmetleri sağlamak için önerilen bir dizi araç ve operasyonel kavramı ifade etmektedir. Gelişen teknoloji ile beraber birçok alanda etkin olarak kullanılan ve her gün kullanım alanı genişleyen İnsansız Hava Aracı (İHA)’lar ve döner kanathava aracı sistemlerinden tümleşik bir konsept olarak ortaya çıkmıştır. Bu konsept içerisindeki VTOL (Dikey Kalkış ve İniş), eVTOL (Elektrik Tahrikli Dikey Kalkış ve İniş) ve STOL (Kısa Kalkış ve İniş) özelliklerine sahip hava platformlarıyla yakın gelecekte ulaşım, perakende kargo taşımacılığı, sağlık hizmetleri gibi alanlarda insanlı (yarı otonom) ve insansız (otonom) olarak kullanılması olası gözükmektedir. KHH Sistemleri ile; öncelikle kısa mesafelerde küçük, bakım ve işletme maliyetileri düşük hava araçları kullanılacaktır. Bunun sonucunda seyahat rotaları kısalacak ve ulaşımda harcanan zaman azalacaktır. Konforlu seyahat ve şehiriçi ulaşım maliyetlerinin düşmesi ile KHH sistemlerine erişim noktaları olan Vertiport’ların sayılarıda doğrusal olarak artacaktır. Düşen idame/işletme maliyetleri ve konforlu hava ulaşımına kolay erişilebilirlik sonucunda; şehirlerdeki kara trafiğinin azalarak rahatlaması, şehiriçi hava kirliliğine doğrudan olumsuz etkisi olan karbon emisyon oranlarının düşmesi ve en önemlisi kısıtlı kaynak olan zamandan tasarruf sağlanması gibi faydalar beklenmektedir. KHH sistemlerinin şehirlede kullanılmasına ilişkin olarak bu yeni sistemin, bilinen/geleneksel hava taksi hizmetleriyle karşılaştırılarak analiz edilmiştir. KHH ve geleneksel hava taksi hizmetleri hakkında uzman, havacılık sektöründe çalışmış ve/veya çalışmakta olan profesyonel havacılarla görüşmeler ve anketler yapılarak veriler toplanmıştır. Toplanan veriler ışığında SWOT analizleri gerçekleştirilmiştir. Elde edilen verilerle, eVTOL hava aracı konseptlerinin karşılaştırmalı analizi yapılmış. Bulgular kısmında uzman görüşlerine yer verilmiştir. Sonuç ve değerlendirme kısmında ise KHH genel konsepti oluşturulmuş, YBS (Yönetim Bilişim Sistemleri) kapsamında yapılacak çalışmalar önerilmiştir. Analiz sonuçlarından elde edilen bilgiler değerlendirildiğinde, KHH sistemlerinin kendi içerisinde tehdit ve zayıf yönler barındırmalarına rağmen geleneksel hava taksi hizmetlerine kıyasla daha uygulanabilir sistemler olduğu sonucu ortya çıkmaktadır. eVTOL hava araçlarını şehir alanları üzerinde yaygın kullanımıyla, yangın, deprem, orman yangını gibi olaylarda; gözetleme, ekiplerin koordinasyonu ve yönlendirilmesi, şehrin gözetimi gibi faaliyetlerde kullanılabilir oldukları sonucu ortaya çıkmaktadır.","url":"https://doi.org/10.47899/ijss.1251193","authors":["Ömer Faruk SAVAŞ","Yılmaz GÖKŞEN"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-05-08T21:37:31Z","doi":"10.47899/ijss.1251193","addedAt":"2026-08-31T06:39:43.694Z","updatedAt":"2026-08-31T06:39:57.284Z"},{"id":"doi:10.1109/wsc68292.2025.11339081","name":"Evaluating Third-Party Impacts in Urban Air Mobility Community Integration: A Digital Twin Approach","source":"crossref","abstract":"","url":"https://doi.org/10.1109/wsc68292.2025.11339081","authors":["Alexander Ireland","Chun Wang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-01-22T20:58:15Z","doi":"10.1109/wsc68292.2025.11339081","addedAt":"2026-08-31T06:39:43.694Z","updatedAt":"2026-08-31T06:39:57.284Z"},{"id":"doi:10.1109/wpmc55625.2022.10014836","name":"Urban Air Mobility: Insights into Potentials and Challenges","source":"crossref","abstract":"","url":"https://doi.org/10.1109/wpmc55625.2022.10014836","authors":["Luc Fynn Krull","Bilal Muhammad"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-01-20T14:12:29Z","doi":"10.1109/wpmc55625.2022.10014836","addedAt":"2026-08-31T06:39:43.694Z","updatedAt":"2026-08-31T06:39:57.284Z"},{"id":"doi:10.1142/s0219877021500334","name":"Urban Air Mobility: Projections for Air Taxis","source":"crossref","abstract":"The growing global demand for efficient and sustainable urban mobility in metropolitan areas has created innovative approaches to new modes of transportation and vehicles. Using the Delphi method, this study explored the prospective development of urban air mobility (UAM), specifically the emergence of air taxis or vertical take-off and landing (VTOLs). The two-staged study examined 25 projections regarding technological and infrastructural aspects to propose a future scenario for UAM and air taxis for the next 5–10 years. The questioned experts confirmed most of the proposed statements from both areas but were undetermined regarding certain technological aspects. Considering the crucial impacts of regulation and certification as well as consumer perception and acceptance for UAM and air taxis, further research on these topics and their correlation is suggested.","url":"https://doi.org/10.1142/s0219877021500334","authors":["Nadia Nehk","Victor Tiberius","Sascha Kraus"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2021-08-13T09:37:16Z","doi":"10.1142/s0219877021500334","addedAt":"2026-08-31T06:39:43.694Z","updatedAt":"2026-08-31T06:39:57.284Z"},{"id":"doi:10.1109/dasc52595.2021.9594384","name":"Reinforcement Learning-Based Flow Management Techniques for Urban Air Mobility and Dense Low-Altitude Air Traffic Operations","source":"crossref","abstract":"","url":"https://doi.org/10.1109/dasc52595.2021.9594384","authors":["Yibing Xie","Alessandro Gardi","Roberto Sabatini"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2021-11-15T22:56:19Z","doi":"10.1109/dasc52595.2021.9594384","addedAt":"2026-08-31T06:39:43.694Z","updatedAt":"2026-08-31T06:39:57.284Z"},{"id":"doi:10.2514/6.2019-3521","name":"Analysis of interactions between Urban Air Mobility (UAM) operations and current air traffic in urban areas: Traffic alert and Collision Avoidance System (TCAS) study for UAM Operations","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2019-3521","authors":["Vishwanath Bulusu","Banavar Sridhar","Andrew C. Cone","David P. Thipphavong"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2019-06-15T13:37:16Z","doi":"10.2514/6.2019-3521","addedAt":"2026-08-31T06:39:43.694Z","updatedAt":"2026-08-31T06:39:57.284Z"},{"id":"doi:10.1109/smartcomp61445.2024.00060","name":"PhD Forum: Sustainable Route Planning and Efficient Computation Offloading in Urban Air Mobility","source":"crossref","abstract":"","url":"https://doi.org/10.1109/smartcomp61445.2024.00060","authors":["Debjyoti Sengupta"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-07-24T17:49:43Z","doi":"10.1109/smartcomp61445.2024.00060","addedAt":"2026-08-31T06:39:43.694Z","updatedAt":"2026-08-31T06:39:57.284Z"},{"id":"doi:10.1109/fnwf63303.2024.11028772","name":"Exploiting 6G Networks for Urban Air Mobility Connectivity","source":"crossref","abstract":"","url":"https://doi.org/10.1109/fnwf63303.2024.11028772","authors":["Alex Piccioni","Andrea Marotta","Claudia Rinaldi","Fabio Graziosi"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-06-12T17:41:07Z","doi":"10.1109/fnwf63303.2024.11028772","addedAt":"2026-08-31T06:39:43.694Z","updatedAt":"2026-08-31T06:39:57.284Z"},{"id":"doi:10.5143/jesk.2021.40.2.123","name":"Optimal Dimensional Guidelines for Urban Air Mobility (UAM) Internal Space Design","source":"crossref","abstract":"","url":"https://doi.org/10.5143/jesk.2021.40.2.123","authors":["Chae-Won Park","Yong-Ku Kong","Kyeong-Hee Choi","Min-Uk Cho","Seoung-Yeon Kim","Ki-Seok Sung","Kye-Yoon Kim","Min-Jung Kim"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2021-05-24T00:45:55Z","doi":"10.5143/jesk.2021.40.2.123","addedAt":"2026-08-31T06:39:43.694Z","updatedAt":"2026-08-31T06:39:57.284Z"},{"id":"doi:10.2514/6.2022-2948","name":"Aeroacoustic investigation of an Urban-Air-Mobility ducted fan","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2022-2948","authors":["Stephane Moreau","Yann Pasco","Gyuzel Yakhina"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2022-06-13T11:46:28Z","doi":"10.2514/6.2022-2948","addedAt":"2026-08-31T06:39:43.694Z","updatedAt":"2026-08-31T06:39:57.284Z"},{"id":"doi:10.2139/ssrn.5998907","name":"3D Multi-Drone Trajectory Planning and Cooperative Navigation in Urban Air Mobility","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.5998907","authors":["Yash Soni","Amay Anand Kainedi","Anshuman Anshuman","Akshat Agarwal","Manish  Kumar Mishra"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-01-01T14:50:01Z","doi":"10.2139/ssrn.5998907","addedAt":"2026-08-31T06:39:43.694Z","updatedAt":"2026-08-31T06:39:57.284Z"},{"id":"doi:10.5194/icuc12-67","name":"Deep Learning-Based Short-Term Weather Forecasting and Optimal Data Quantity Analysis for Urban Air Mobility","source":"crossref","abstract":"Urban Air Mobility (UAM) is an innovative aviation system designed for efficient operation in urban areas, providing solutions for rapid transportation of passengers and cargo. The safe operation of UAM depends on accurate predictions of weather phenomena such as turbulence, gusts, and icing conditions. However, the lack of observational data in the atmospheric boundary layer, which is UAM's primary operational area, has limited research on real-time weather prediction (nowcasting). To address this issue, this study utilizes high-resolution meteorological data from the Boseong Weather Observation Tower, which provides detailed insights into atmospheric boundary layer conditions. This study improves prediction accuracy by combining Long Short-Term Memory (LSTM) networks, specialized in time series data analysis, with Fully Connected Layers. Additionally, through power spectrum analysis, we investigate the impact of meteorological variable characteristics on prediction performance and identify the optimal amount of data required for deep learning-based real-time weather prediction models. The results of this study are expected to contribute to the development of real-time weather prediction models that can enhance the safety and efficiency of UAM operations. By addressing observational data gaps and utilizing deep learning technology, this study aims to contribute to establishing UAM as a reliable urban transportation solution. Furthermore, the methodology proposed in this study can be applied to building weather prediction systems for UAM operations in various urban environments, which is expected to play a crucial role in the development of sustainable transportation infrastructure for smart cities.","url":"https://doi.org/10.5194/icuc12-67","authors":["Hyeyeong Kim","Mijeong Jeon","Jonghan Lee","Woosok Moon"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-05-21T15:10:32Z","doi":"10.5194/icuc12-67","addedAt":"2026-08-31T06:39:43.694Z","updatedAt":"2026-08-31T06:39:57.284Z"},{"id":"doi:10.1109/dasc58513.2023.10311144","name":"Sensitivity Analysis of Fleet Size for Urban Air Mobility","source":"crossref","abstract":"","url":"https://doi.org/10.1109/dasc58513.2023.10311144","authors":["Jungu Kang","Sang Hyun Kim"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-11-10T13:49:47Z","doi":"10.1109/dasc58513.2023.10311144","addedAt":"2026-08-31T06:39:43.694Z","updatedAt":"2026-08-31T06:39:57.284Z"},{"id":"doi:10.2514/6.2021-1627","name":"Description of the NASA Urban Air Mobility Maturity Level (UML) Scale","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2021-1627","authors":["Kenneth H. Goodrich","Colin R. Theodore"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2021-01-05T07:59:38Z","doi":"10.2514/6.2021-1627","addedAt":"2026-08-31T06:39:43.694Z","updatedAt":"2026-08-31T06:39:57.284Z"},{"id":"doi:10.1109/smartcomp65954.2025.00031","name":"PhD Forum: Exploring Urban Air Mobility Applications by Optimizing Operations Through Computational Means","source":"crossref","abstract":"","url":"https://doi.org/10.1109/smartcomp65954.2025.00031","authors":["Debjyoti Sengupta"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-07-03T17:27:24Z","doi":"10.1109/smartcomp65954.2025.00031","addedAt":"2026-08-31T06:39:43.694Z","updatedAt":"2026-08-31T06:39:57.284Z"},{"id":"doi:10.64631/yujs9540","name":"Helicopter and Urban Air Mobility (UAM) Laboratory Comparison (HULC) Psychoacoustic Test","source":"crossref","abstract":"","url":"https://doi.org/10.64631/yujs9540","authors":["Aaron B Vaughn","Siddhartha Krishnamurthy","Aric R Aumann","Brian C Tuttle","Andrew W Christian"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-03-04T14:14:44Z","doi":"10.64631/yujs9540","addedAt":"2026-08-31T06:39:43.694Z","updatedAt":"2026-08-31T06:39:57.284Z"},{"id":"doi:10.35294/ls2025-01-schram","name":"Review of aeroacoustic analogies and applications to urban air mobility","source":"crossref","abstract":"","url":"https://doi.org/10.35294/ls2025-01-schram","authors":["Christophe Schram","Michel Roger"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-01-23T13:42:21Z","doi":"10.35294/ls2025-01-schram","addedAt":"2026-08-31T06:39:43.694Z","updatedAt":"2026-08-31T06:39:56.012Z"},{"id":"doi:10.5194/egusphere-egu26-8896","name":"Establishing High-Resolution Meteorological Monitoring for Safe Urban Air Mobility Operations","source":"crossref","abstract":"Urban Air Mobility (UAM) is emerging as a next-generation transportation system that not only alleviates traffic congestion in high-density urban areas but also supports emergency medical response, time-critical logistics and supply delivery, and urban and regional tourism. UAM vehicles operate at low altitudes within the atmospheric boundary layer, where airflow and turbulence are strongly modified by topography, buildings, and other urban structures. In such environments, localized meteorological phenomena, such as gusts, vertical wind shear, and turbulence, frequently develop and pose significant challenges to flight stability and operational safety.Conventional meteorological observation networks and mesoscale numerical weather prediction models lack the spatial and temporal resolution required to resolve these microscale urban flow features. Consequently, short-term forecasting of boundary-layer winds and turbulence in complex urban environments remains highly uncertain. To support safe UAM operations, a new observation framework providing high-resolution, three-dimensional meteorological information is needed. High-frequency, multi-point surface and remote-sensing observations can capture spatiotemporal variability of meteorological conditions and provide essential inputs for data assimilation in numerical prediction models as well as for training and constraining artificial-intelligence-based forecast systems designed to generate high-fidelity, short-term meteorological fields for UAM operations.We propose a multi-point meteorological observation network designed to characterize wind and turbulence fields within UAM corridors. The network is configured to resolve the spatiotemporal variability of winds and turbulence in the boundary layer with high fidelity. The resulting dataset can enhance the understanding of urban low-altitude meteorology and provide a foundational dataset for high-resolution forecasting and operational decision-support for safe and efficient UAM operations. This work was funded by the Korea Meteorological Administration Research and Development Program under Grant (RS-2024-00404042).","url":"https://doi.org/10.5194/egusphere-egu26-8896","authors":["Yongmi Park","Subin Han","Seongmin Seo","Jihoon Shin","Jae-Jin Kim","Wonsik Choi"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-03-13T23:03:52Z","doi":"10.5194/egusphere-egu26-8896","addedAt":"2026-08-31T06:39:43.694Z","updatedAt":"2026-08-31T06:39:57.284Z"},{"id":"doi:10.1117/12.3051008","name":"Research on air vehicles and urban air mobility technologies and standards","source":"crossref","abstract":"","url":"https://doi.org/10.1117/12.3051008","authors":["Jingjing Hao","Hang Sun","Baotian Li"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-01-20T14:11:02Z","doi":"10.1117/12.3051008","addedAt":"2026-08-31T06:39:43.694Z","updatedAt":"2026-08-31T06:39:57.284Z"},{"id":"doi:10.2514/6.2023-3261","name":"Analysis of Electrical Grid Capacity in Major U.S. Metropolitan Areas for Urban Air Mobility","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2023-3261","authors":["David P. Thipphavong"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-06-08T15:36:49Z","doi":"10.2514/6.2023-3261","addedAt":"2026-08-31T06:39:43.694Z","updatedAt":"2026-08-31T06:39:57.284Z"},{"id":"doi:10.3389/fpace.2023.1278726","name":"Trajectory generation based on power for urban air mobility","source":"crossref","abstract":"A method of generating trajectories based on power is proposed for Urban Air Taxis. The method is simpler and more direct than traditional methods because it does not require a detailed aircraft model or a flight control model. Instead, it allows the user to specify the route, the static longitudinal profile (altitude as a function of distance), and a power model to determine the progress in time along that profile. The power model can be determined from a recorded or simulated trajectory of the same aircraft type. This capability allows a trajectory to be generated or reshaped to avoid conflicts while preserving the basic performance characteristics. Net or excess power is defined as the rate of change of mechanical (kinetic and potential) energy, and it is modeled as a function of airspeed. The time steps between discrete points in space along the trajectory are used to yield a specified power as a function of airspeed, and they are determined by solving a cubic polynomial at each point. An elliptical profile is used to generate an example trajectory. The dependence of trip flight time on various parameters is analyzed and plotted.","url":"https://doi.org/10.3389/fpace.2023.1278726","authors":["Russell A. Paielli"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-10-11T17:02:14Z","doi":"10.3389/fpace.2023.1278726","addedAt":"2026-08-31T06:39:43.694Z","updatedAt":"2026-08-31T06:39:57.284Z"},{"id":"doi:10.1016/j.ifacol.2022.07.277","name":"Safety Verification for Urban Air Mobility Scheduling","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.ifacol.2022.07.277","authors":["Qinshuang Wei","Gustav Nilsson","Samuel Coogan"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2022-08-02T07:13:07Z","doi":"10.1016/j.ifacol.2022.07.277","addedAt":"2026-08-31T06:39:43.694Z","updatedAt":"2026-08-31T06:39:57.284Z"},{"id":"doi:10.2514/6.2023-3364","name":"Community Noise Impact of Urban Air Mobility Aircraft with Noise Propagation Effects","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2023-3364","authors":["Juan N. Miranda","Seongkyu Lee"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-06-08T11:36:49Z","doi":"10.2514/6.2023-3364","addedAt":"2026-08-31T06:39:43.694Z","updatedAt":"2026-08-31T06:39:57.284Z"},{"id":"doi:10.2514/6.2019-3473","name":"Robust Environmental Life Cycle Assessment of Electric VTOL Concepts for Urban Air Mobility","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2019-3473","authors":["Nicolas André","Manfred Hajek"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2019-06-15T13:37:16Z","doi":"10.2514/6.2019-3473","addedAt":"2026-08-31T06:39:43.694Z","updatedAt":"2026-08-31T06:39:57.284Z"},{"id":"doi:10.1109/dasc55683.2022.9925775","name":"Assessing Social Acceptance of Urban Air Mobility using Virtual Reality","source":"crossref","abstract":"","url":"https://doi.org/10.1109/dasc55683.2022.9925775","authors":["Maria Stolz","Tim Laudien"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2022-11-03T21:28:29Z","doi":"10.1109/dasc55683.2022.9925775","addedAt":"2026-08-31T06:39:43.694Z","updatedAt":"2026-08-31T06:39:57.284Z"},{"id":"doi:10.17208/jkpa.2022.08.57.4.25","name":"Factors Influencing the Intention to Use UAM (Urban Air Mobility) and Acceptance of Ground Infrastructure (Vertiport)","source":"crossref","abstract":"","url":"https://doi.org/10.17208/jkpa.2022.08.57.4.25","authors":["Jong-Wook Lee","Hyunjung Choi","Sungjo Hong"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2022-09-13T21:01:08Z","doi":"10.17208/jkpa.2022.08.57.4.25","addedAt":"2026-08-31T06:39:43.694Z","updatedAt":"2026-08-31T06:39:57.284Z"},{"id":"doi:10.26226/m.63283144f30377bc3baf7d28","name":"Planning Airways for Urban Air Mobility in Small Cities: A Case Study of Tuscaloosa, Alabama","source":"crossref","abstract":"","url":"https://doi.org/10.26226/m.63283144f30377bc3baf7d28","authors":["Chenxuan Yang","Weike Lu","Jun Liu","Nie Alabama","Steven Jones"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-09-29T15:22:23Z","doi":"10.26226/m.63283144f30377bc3baf7d28","addedAt":"2026-08-31T06:39:43.694Z","updatedAt":"2026-08-31T06:39:57.284Z"},{"id":"doi:10.1016/j.buildenv.2025.114136","name":"Ten questions concerning urban wind environments for the safe utilization of urban air mobility","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.buildenv.2025.114136","authors":["Hongyuan Jia","Chao Lin","Mahiro Iwabuchi","Hideki Kikumoto"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-12-14T15:18:10Z","doi":"10.1016/j.buildenv.2025.114136","addedAt":"2026-08-31T06:39:43.694Z","updatedAt":"2026-08-31T06:39:57.284Z"},{"id":"doi:10.2514/6.2023-2206","name":"Manoeuverability Assessment for Urban Air Mobility Using the Improved Inverse Simulation","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2023-2206","authors":["Ye Yuan","Douglas Thomson","David Anderson"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-01-21T01:59:16Z","doi":"10.2514/6.2023-2206","addedAt":"2026-08-31T06:39:43.694Z","updatedAt":"2026-08-31T06:39:57.284Z"},{"id":"doi:10.1061/9780784483541.006","name":"Exploratory Analysis on Urban Air Mobility and Pilot Shortage","source":"crossref","abstract":"","url":"https://doi.org/10.1061/9780784483541.006","authors":["Derek Maxwell","Julio Roa"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2021-06-04T06:12:16Z","doi":"10.1061/9780784483541.006","addedAt":"2026-08-31T06:39:43.694Z","updatedAt":"2026-08-31T06:39:57.284Z"},{"id":"doi:10.1109/icnsurv.2019.8735297","name":"Are We Ready to Weather Urban Air Mobility (UAM)?","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icnsurv.2019.8735297","authors":["C. Reiche","C. McGillen","J. Siegel","F. Brody"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2019-07-01T23:58:06Z","doi":"10.1109/icnsurv.2019.8735297","addedAt":"2026-08-31T06:39:43.694Z","updatedAt":"2026-08-31T06:39:57.284Z"},{"id":"doi:10.1007/978-3-030-45308-4_3","name":"Modelling a Future Routing Concept for the Urban Air Mobility","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-030-45308-4_3","authors":["Moritz Hildemann","Carlos Delgado"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2020-12-01T09:05:16Z","doi":"10.1007/978-3-030-45308-4_3","addedAt":"2026-08-31T06:39:43.694Z","updatedAt":"2026-08-31T06:39:57.284Z"},{"id":"doi:10.3390/aerospace12060560","name":"Urban Air Mobility Vertiport’s Capacity Simulation and Analysis","source":"crossref","abstract":"This study shows a comprehensive simulation to assess and enhance the throughput capacity of unmanned air system vertiports, one of the most essential elements of urban air mobility ecosystems. The framework integrates dynamic grid-based spatial management, probabilistic mission duration algorithms, and EASA-compliant operational protocols to address the infrastructural and logistical demands of high-density UAS operations. It was focused on two use cases—high-frequency food delivery utilizing small UASs and extended-range package logistics with larger UASs—and the model incorporates adaptive vertiport zoning strategies, segregating operations into dedicated sectors for battery charging, swapping, and cargo handling to enable parallel processing and mitigate congestion. The simulation evaluates critical variables such as vertiport dimensions, UAS fleet composition, and mission duration ranges while emphasizing scalability, safety, and compliance with evolving regulatory standards. By examining the interplay between infrastructure design, operational workflows, and resource allocation, the research provides a versatile tool for urban planners and policymakers to optimize vertiport layouts and traffic management protocols. Its modular architecture supports future extensions. This work underscores the necessity of adaptive, data-driven planning to harmonize vertiport functionality with the dynamic demands of urban air mobility, ensuring interoperability, safety, and long-term scalability.","url":"https://doi.org/10.3390/aerospace12060560","authors":["Antoni Kopyt","Sebastian Dylicki"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-06-19T08:43:58Z","doi":"10.3390/aerospace12060560","addedAt":"2026-08-31T06:39:43.694Z","updatedAt":"2026-08-31T06:39:57.284Z"},{"id":"doi:10.2514/6.2020-3253","name":"Optimal eVTOL Charging and Passenger Serving Scheduling for On-Demand Urban Air Mobility","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2020-3253","authors":["Zhiqiang Wu","Yu Zhang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2020-06-08T17:02:08Z","doi":"10.2514/6.2020-3253","addedAt":"2026-08-31T06:39:43.694Z","updatedAt":"2026-08-31T06:39:57.284Z"},{"id":"doi:10.2139/ssrn.6202730","name":"Beyond Technology: Governance, Trust, and System Readiness in the Diffusion of Urban Air Mobility: Evidence from a Mixed-Methods Study","source":"crossref","abstract":"This study examines public acceptance of Urban Air Mobility (UAM) by investigating how innovation diffusion attributes shape behavioral readiness for adoption, with trust operating as a central mediating mechanism. Drawing on Innovation Diffusion Theory, the study conceptualizes relative advantage, compatibility, complexity, trialability, and observability as functional attributes that promote behavioral change, while safety and cyber risks represent inhibiting evaluations that may constrain acceptance. A mixed-methods research design was employed. Quantitative data were collected through a nationwide survey of 506 adults in South Korea and analyzed using partial least squares structural equation modeling. To contextualize and enrich the survey findings, qualitative expert interviews were conducted with stakeholders involved in UAM policy, infrastructure planning, and industry development. The quantitative results show that innovation diffusion attributes exert a strong positive influence on intention to use UAM, both directly and indirectly through trust. In particular, relative advantage, complexity (operationalized as ease of understanding and use), and observability significantly enhance trust, which in turn strengthens adoption intention. In contrast, safety and cyber risks do not exhibit statistically significant effects on either trust or intention to use. Insights from expert interviews suggest that trust in UAM extends beyond evaluations of technological performance to encompass governance credibility, regulatory coherence, and the perceived maturity of institutional arrangements. Together, the findings indicate that early-stage UAM adoption is driven less by risk avoidance than by value-oriented assessments and confidence in system-level readiness. This study contribute to debates on sustainable transport transitions by highlighting trust as a systemic condition enabling public acceptance, and they offer practical guidance for policymakers and industry actors seeking to foster socially acceptable and sustainable pathways for UAM deployment.","url":"https://doi.org/10.2139/ssrn.6202730","authors":["Miyoung Sim","Hany Kim"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-02-09T12:42:46Z","doi":"10.2139/ssrn.6202730","addedAt":"2026-08-31T06:39:43.694Z","updatedAt":"2026-08-31T06:39:57.284Z"},{"id":"doi:10.2514/6.2021-1722","name":"Conceptual Design Structural Sizing for Urban Air Mobility","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2021-1722","authors":["Tyler F. Winter","Joe Robinson","Armando Gamez","Thomas Nascenzi"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2021-01-05T07:59:38Z","doi":"10.2514/6.2021-1722","addedAt":"2026-08-31T06:39:43.694Z","updatedAt":"2026-08-31T06:39:57.284Z"},{"id":"doi:10.3917/bru.rende.2020.01.0002","name":"La mobilité urbaine / Urban Mobility","source":"crossref","abstract":"","url":"https://doi.org/10.3917/bru.rende.2020.01.0002","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-07-28T08:03:51Z","doi":"10.3917/bru.rende.2020.01.0002","addedAt":"2026-08-31T06:39:43.694Z","updatedAt":"2026-08-31T06:39:57.284Z"},{"id":"doi:10.5762/kais.2023.24.5.499","name":"Selection and utilization of existing high-rise building heliports to build urban air mobility(UAM) infrastructure","source":"crossref","abstract":"","url":"https://doi.org/10.5762/kais.2023.24.5.499","authors":["Cho-Rong Park","Jong-Ho Lee","Jae-Wook Lee","Dong-Wook Sohn"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-06-07T04:46:49Z","doi":"10.5762/kais.2023.24.5.499","addedAt":"2026-08-31T06:39:43.694Z","updatedAt":"2026-08-31T06:39:57.284Z"},{"id":"doi:10.2139/ssrn.6359392","name":"Optimizing Fixed-Route Planning for Urban Air Mobility: An Efficient Method for Early Implementation","source":"crossref","abstract":"The development of electric vertical takeoff and landing technologies lays the groundwork for the large-scale deployment of urban air mobility (UAM). To address the challenges of fully implementing on-demand point-to-point services in early UAM development, this study proposes an optimization approach to selecting fixed UAM routes anchored to rail transit stations. By leveraging the strengths of UAM in cross-terrain connectivity and operational efficiency, the proposed approach integrates these services into existing high-capacity public transport networks, exploring feasible implementation pathways within the constraints of established urban transport systems. To maximize urban travel-time savings, we developed a fixed-route selection model solved using a greedy algorithm. This method optimizes route combinations under a limited route-number constraint. Additionally, the framework compares different objective function settings and assesses the efficiency of single-leg versus multi-leg flight schemes, particularly considering transfer costs. An empirical case study in Shenzhen demonstrated that the proposed approach significantly enhanced efficiency while maintaining equitable travel coverage. In addition, the findings support the use of single-leg fixed routes during the early operational stage of UAM, revealing their potential to reduce long-term spatial homogenization effects from conventional transport systems. By shifting away from fully point-to-point route strategies, this study offers a practical framework for the early deployment of regular UAM services and provides insights for developing an integrated multimodal transportation system combining aerial metro and rail transit.","url":"https://doi.org/10.2139/ssrn.6359392","authors":["Renwei Liu","Haishan Xia","Kangyu Liang","Chunxiang Lin","Lu Li"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-03-06T16:58:32Z","doi":"10.2139/ssrn.6359392","addedAt":"2026-08-31T06:39:43.694Z","updatedAt":"2026-08-31T06:39:57.284Z"},{"id":"doi:10.21741/9781644904251-272","name":"Urban Air Mobility: Trends and Economic Perspective in Europe and Italy","source":"crossref","abstract":"Abstract. This paper provides an overview of the emerging trends and business models in the Advanced Air Mobility (AAM) sector, with a particular focus on the Urban Air Mobility (UAM) segment [5] in the European and Italian contexts. The work presents a multidimensional analysis aimed at identifying the main demographic, technological, industrial and regulatory trends. After that, it examines the current Italian scenario, the main recognizable business models, and offers some considerations on UAM’s ability to create, capture and distribute value.","url":"https://doi.org/10.21741/9781644904251-272","authors":["Gabriele LECIS"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-07-10T15:00:33Z","doi":"10.21741/9781644904251-272","addedAt":"2026-08-31T06:39:43.694Z","updatedAt":"2026-08-31T06:39:57.284Z"},{"id":"doi:10.1007/978-981-19-1742-4_27","name":"Future Mobility with eVTOL Personal Air Vehicle (PAV): Urban Air Mobility (UAM) Concept","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-981-19-1742-4_27","authors":["M. Naga Praveen Babu","Sidvik Basa","Prasanth Kumar Duba","P. Rajalakshmi"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2022-04-26T08:02:58Z","doi":"10.1007/978-981-19-1742-4_27","addedAt":"2026-08-31T06:39:43.694Z","updatedAt":"2026-08-31T06:39:57.284Z"},{"id":"doi:10.3390/urbansci10070353","name":"Assessing the Effect of Hypothetical Urban Air Mobility Demand Redistribution on Signalized Intersection Performance: A Microsimulation Study of Threshold Effects","source":"crossref","abstract":"This study examines the potential effect of hypothetical Urban Air Mobility (UAM) demand redistribution on congestion and signalized intersection performance in the urban environment of Topoľčany, Slovakia. Based on a calibrated microsimulation model, scenarios involving the redistribution of a portion of ground traffic demand away from the road network were analyzed at 30% and 50% during the morning peak period. The evaluation focused primarily on travel times and intersection load. The results indicate that a moderate reduction in ground traffic demand leads to a significant reduction in travel times and traffic intensity. The most substantial improvement was observed in the 30% redistribution scenario. In comparison, a further increase to 50% did not yield proportional benefits, suggesting a nonlinear threshold effect in the transport system’s performance. It should be emphasized that the UAM scenarios in this study do not represent a full operational simulation of Urban Air Mobility, including aerial corridors, vertiports, waiting times, intermodal transfers, or airspace capacity. Instead, they represent demand redistribution scenarios used to evaluate the response of the existing signalized road network to reduced ground traffic demand. The study identifies limitations arising from simplified model assumptions and the absence of broader environmental, operational, and social considerations. Nevertheless, the findings show that even a moderate reduction in road traffic demand, potentially associated with future multimodal mobility concepts, can contribute to improved traffic efficiency in congested urban networks.","url":"https://doi.org/10.3390/urbansci10070353","authors":["Alica Kalašová","Miloš Poliak","Peter Fabian","Kristián Čulík"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-06-26T00:49:23Z","doi":"10.3390/urbansci10070353","addedAt":"2026-08-31T06:39:43.694Z","updatedAt":"2026-08-31T06:39:57.284Z"},{"id":"doi:10.1016/j.jairtraman.2025.102907","name":"Assessing public acceptance of urban air mobility: Behavioral insights","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.jairtraman.2025.102907","authors":["Fatemeh Nazari","Mohamadhossein Noruzoliaee","Khandker Nurul Habib"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-09-14T04:51:34Z","doi":"10.1016/j.jairtraman.2025.102907","addedAt":"2026-08-31T06:39:43.694Z","updatedAt":"2026-08-31T06:39:57.284Z"},{"id":"doi:10.2514/6.2023-0549","name":"An Interface Specification for Urban Air Mobility Performance Models to Support Air Traffic Management Research","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2023-0549","authors":["David Hartman","Christopher L. Hartman","John V. Foster","Fabian Morscheck","Florian Linke"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-01-20T21:50:50Z","doi":"10.2514/6.2023-0549","addedAt":"2026-08-31T06:39:43.694Z","updatedAt":"2026-08-31T06:39:57.284Z"},{"id":"doi:10.31462/icearc.2023.tra597","name":"A design to future sustainable mobility: urban air mobility hub framework","source":"crossref","abstract":"","url":"https://doi.org/10.31462/icearc.2023.tra597","authors":["Abdulkadir Özden","Süleyman Nurullah Adahi Şahin","Hidayet Karataş","Feyza Koç","Berat Düzcan"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-05-30T12:50:19Z","doi":"10.31462/icearc.2023.tra597","addedAt":"2026-08-31T06:39:43.694Z","updatedAt":"2026-08-31T06:39:57.284Z"},{"id":"doi:10.1016/j.jairtraman.2026.103095","name":"Evaluating the impact of Urban Air Mobility on ground traffic efficiency: A multi-scenario simulation study","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.jairtraman.2026.103095","authors":["Yuping Jin","Jun Ma","Zixuan Xiao","Zhan Zhao","Jintao Ke"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-08-03T12:05:18Z","doi":"10.1016/j.jairtraman.2026.103095","addedAt":"2026-08-31T06:39:43.694Z","updatedAt":"2026-08-31T06:39:57.284Z"},{"id":"doi:10.2514/1.d0501","name":"Development of Benefit-Effect Assessment Method for Improving Social Acceptance of Urban Air Mobility","source":"crossref","abstract":"In recent years, urban air mobility (UAM) technologies have been studied worldwide. However, social acceptance of UAMs and drones remains underexplored. Without adequate research, the anticipated “aerial industrial revolution” from drone use and flying vehicles may face social issues. To address this, the authors’ group proposed a social acceptance evaluation method combining subjective questionnaires with objective stress evaluations using a Kansei Analyzer based on a simple electroencephalograph and confirmed the effectiveness of this method. Related studies have assessed subjective stress from drone noise, but stress varies by the applications of the UAMs and stakeholders. It is critical to assess the stress people perceive from noise for each application and each stakeholder. This study evaluates sensitivity indices, including stress, for UAM uses, focusing on people uninvolved with UAMs, who face the greatest disadvantages. We conduct statistical tests for changes in cognitive sensitivities and physiological stress that is affected by the instruction in benefits of the UAM applications, focusing on residents uninvolved with UAMs, who face the greatest disadvantages. The study concludes with a summary of the benefit-effect assessment results.","url":"https://doi.org/10.2514/1.d0501","authors":["Susumu Hara","Satoshi Kusano","Yasue Mitsukura","Hiroko Kamide","Yasuo Sasaki"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-09-12T14:29:38Z","doi":"10.2514/1.d0501","addedAt":"2026-08-31T06:39:43.694Z","updatedAt":"2026-08-31T06:39:57.284Z"},{"id":"doi:10.1002/9781394359325.fmatter","name":"Foundations of Advanced Air Mobility","source":"crossref","abstract":"","url":"https://doi.org/10.1002/9781394359325.fmatter","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-08-19T13:30:21Z","doi":"10.1002/9781394359325.fmatter","addedAt":"2026-08-31T06:39:43.694Z","updatedAt":"2026-08-31T06:39:57.284Z"},{"id":"doi:10.3390/aerospace11030220","name":"Modelling and Control of an Urban Air Mobility Vehicle Subject to Empirically-Developed Urban Airflow Disturbances","source":"crossref","abstract":"Urban air mobility is expected to play a role in improving transportation of people and goods in growing urban areas while contributing to sustainable urban growth and zero-emissions future aviation. The research presented herein computationally investigated the performance of control laws for a generic Urban Air Taxi (UAT) subjected to empirically-developed urban airflow disturbances. This involved developing a representative flight dynamics model of a UAT in steady level cruise flight with an inner-loop autopilot. Active Disturbance Rejection Control (ADRC) and Proportional-Integral-Derivative (PID) control laws were implemented to investigate the controlled and uncontrolled acceleration responses and compare them to the acceleration limits in ISO 2631. Using a linear flight dynamics model, ADRC demonstrated improved performance over PID control with equal initial tuning effort. PID was able to reduce passenger accelerations to unharmful, though still uncomfortable, levels while ADRC further reduced the lateral accelerations to comfortable levels.","url":"https://doi.org/10.3390/aerospace11030220","authors":["Richard G. McKercher","Fidel Khouli","Alanna S. Wall","Guy L. Larose"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-03-12T12:14:40Z","doi":"10.3390/aerospace11030220","addedAt":"2026-08-31T06:39:43.694Z","updatedAt":"2026-08-31T06:39:57.284Z"},{"id":"doi:10.1016/j.urbmob.2022.100014","name":"Re-shaping urban mobility – Key to Europe´s green transition","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.urbmob.2022.100014","authors":["Maria Tsavachidis","Yoann Le Petit"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2022-02-12T11:33:12Z","doi":"10.1016/j.urbmob.2022.100014","addedAt":"2026-08-31T06:39:43.694Z","updatedAt":"2026-08-31T06:39:57.284Z"},{"id":"doi:10.1108/9780857246127-003","name":"Simplifying Complexity in Urban Mobility Systems","source":"crossref","abstract":"","url":"https://doi.org/10.1108/9780857246127-003","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2016-01-29T06:15:49Z","doi":"10.1108/9780857246127-003","addedAt":"2026-08-31T06:39:43.694Z","updatedAt":"2026-08-31T06:39:57.284Z"},{"id":"doi:10.2514/6.2024-0532","name":"Flight Mission Feasibility Assessment of Urban Air Mobility Operations under Battery Energy Constraint","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2024-0532","authors":["Abenezer G. Taye","Peng Wei"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-01-29T21:41:50Z","doi":"10.2514/6.2024-0532","addedAt":"2026-08-31T06:39:43.694Z","updatedAt":"2026-08-31T06:39:57.284Z"},{"id":"doi:10.2514/6.2024-1910","name":"Conceptual Design of Two-Seater Lift &amp; Cruise Type Urban Air Mobility","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2024-1910","authors":["Jinyoung Kim","Sanghoon Lee","Dongkyun Im"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-01-29T22:05:19Z","doi":"10.2514/6.2024-1910","addedAt":"2026-08-31T06:39:43.694Z","updatedAt":"2026-08-31T06:39:57.284Z"},{"id":"doi:10.2514/6.2024-2473","name":"Development of New Empirical Rotor Broadband Noise Prediction Models for Urban Air Mobility Applications","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2024-2473","authors":["Hyunjune Gill","Seongkyu Lee"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-01-30T01:50:11Z","doi":"10.2514/6.2024-2473","addedAt":"2026-08-31T06:39:43.694Z","updatedAt":"2026-08-31T06:39:57.284Z"},{"id":"doi:10.2514/6.2022-1841","name":"Comparisons of RRT and MCTS for Safe Assured Path Planning in Urban Air Mobility","source":"openalex","abstract":"View Video Presentation: https://doi.org/10.2514/6.2022-1841.vid Urban air mobility (UAM) using electrical vertical take-off and landing (eVTOL) aircraft is an emerging way of air transportation within metropolitan areas. However, the ability to navigate eVTOL aircraft through congested urban air environment poses a great challenge for path planning. For the successful operations of autonomous aerial vehicles in UAM, it is of great importance to take the collision-free requirement into consideration. It is also necessary to consider the presence of various forms of uncertainty in path planning. To address these issues, in this paper the path planning problem is first formulated as a Markov Decision Process (MDP) and then solved by an online algorithm of Monte Carlo Tree Search (MCTS) incorporating chance constraints of uncertainty. For the sake of illustration, a high-density free flight airspace simulator is created to test the performance of this proposed algorithm. Numerical simulation results demonstrate that this proposed algorithm outperforms the Chance Constrained Rapidly-exploring Random Tree (CCRRT) Algorithm, a path planning algorithm we proposed before, in terms of many aspects.","url":"https://doi.org/10.2514/6.2022-1841","authors":["Pengcheng Wu","Jun Chen"],"tags":["Computer science","Motion planning","Path (computing)","Mobility management","Telecommunications"],"confidence":0.72,"sites":["low-altitude"],"publishedDate":"2022-01-03","doi":"10.2514/6.2022-1841","addedAt":"2026-08-31T06:39:43.694Z","updatedAt":"2026-08-31T14:45:35.251Z"},{"id":"doi:10.2514/6.2019-3122","name":"Energy and Landing Accuracy Considerations for Urban Air Mobility Vertiport Approach Surfaces","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2019-3122","authors":["Emre Yilmaz","Matthew Warren","Brian German"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2019-06-15T13:37:16Z","doi":"10.2514/6.2019-3122","addedAt":"2026-08-31T06:39:43.694Z","updatedAt":"2026-08-31T06:39:57.284Z"},{"id":"doi:10.1109/hpsr57248.2023.10148014","name":"Urban Air Mobility: Vision, Challenges and Opportunities","source":"crossref","abstract":"","url":"https://doi.org/10.1109/hpsr57248.2023.10148014","authors":["Debjyoti Sengupta","Sajal K. Das"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-06-14T17:19:43Z","doi":"10.1109/hpsr57248.2023.10148014","addedAt":"2026-08-31T06:39:43.694Z","updatedAt":"2026-08-31T06:39:57.284Z"},{"id":"doi:10.1016/j.trpro.2019.09.013","name":"Policies addressing possible urban air mobility market distortions – a first discussion","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.trpro.2019.09.013","authors":["Anna Straubinger"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2019-11-28T07:32:01Z","doi":"10.1016/j.trpro.2019.09.013","addedAt":"2026-08-31T06:39:43.694Z","updatedAt":"2026-08-31T06:39:57.284Z"},{"id":"doi:10.2514/6.2023-3401","name":"A Blockchain Case Study for Urban Air Mobility Operational Intent","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2023-3401","authors":["Kenneth Freeman","Norbert Gillem","Aidan Jones","Nishant Sharma"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-06-08T11:36:49Z","doi":"10.2514/6.2023-3401","addedAt":"2026-08-31T06:39:43.694Z","updatedAt":"2026-08-31T06:39:57.284Z"},{"id":"doi:10.1109/itsc60802.2025.11423009","name":"Sphereabout: A Spherical Intersection Design for Networked Urban Air Mobility","source":"crossref","abstract":"","url":"https://doi.org/10.1109/itsc60802.2025.11423009","authors":["Farzan Moosavi","Bilal Farooq"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-03-16T20:10:23Z","doi":"10.1109/itsc60802.2025.11423009","addedAt":"2026-08-31T06:39:43.694Z","updatedAt":"2026-08-31T06:39:57.284Z"},{"id":"doi:10.2514/6.2020-2099","name":"Guidance for Designing Safety into Urban Air Mobility: Hazard Analysis Techniques","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2020-2099","authors":["Mallory Graydon","Natasha A. Neogi","Kimberly Wasson"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2020-01-05T12:55:51Z","doi":"10.2514/6.2020-2099","addedAt":"2026-08-31T06:39:43.694Z","updatedAt":"2026-08-31T06:39:57.284Z"},{"id":"doi:10.1016/b978-0-12-814897-6.00006-5","name":"National Urban Mobility Policy Frameworks","source":"crossref","abstract":"","url":"https://doi.org/10.1016/b978-0-12-814897-6.00006-5","authors":["Oliver Lah"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2019-01-12T05:24:13Z","doi":"10.1016/b978-0-12-814897-6.00006-5","addedAt":"2026-08-31T06:39:43.694Z","updatedAt":"2026-08-31T06:39:57.284Z"},{"id":"doi:10.1016/b978-0-12-814897-6.00007-7","name":"Sustainable Urban Mobility in Action","source":"crossref","abstract":"","url":"https://doi.org/10.1016/b978-0-12-814897-6.00007-7","authors":["Oliver Lah"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2019-01-12T05:24:19Z","doi":"10.1016/b978-0-12-814897-6.00007-7","addedAt":"2026-08-31T06:39:43.694Z","updatedAt":"2026-08-31T06:39:57.284Z"},{"id":"doi:10.2514/6.2019-3000","name":"Conceptual Design of Electric Helicopters for Urban Air Mobility","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2019-3000","authors":["Stefanie Salinger","Lauren Rajauski","Julia A. Cole"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2019-06-15T13:37:16Z","doi":"10.2514/6.2019-3000","addedAt":"2026-08-31T06:39:43.694Z","updatedAt":"2026-08-31T06:39:57.284Z"},{"id":"doi:10.2514/6.2022-3486","name":"Exploring Vehicle and Fleet Design Spaces for Profitable Urban Air Mobility Operations","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2022-3486","authors":["Brandon E. Sells","William A. Crossley"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2022-06-21T03:07:36Z","doi":"10.2514/6.2022-3486","addedAt":"2026-08-31T06:39:43.694Z","updatedAt":"2026-08-31T06:39:57.284Z"},{"id":"doi:10.1109/dasc62030.2024.10749675","name":"Demand-Capacity Balancing Algorithms for Urban Air Mobility Operations","source":"crossref","abstract":"","url":"https://doi.org/10.1109/dasc62030.2024.10749675","authors":["Kushal A. Moolchandani","Hanbong Lee"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-11-15T18:44:23Z","doi":"10.1109/dasc62030.2024.10749675","addedAt":"2026-08-31T06:39:43.694Z","updatedAt":"2026-08-31T06:39:57.284Z"},{"id":"doi:10.3390/drones8120702","name":"Urban Air Mobility Communications and Networking: Recent Advances, Techniques, and Challenges","source":"crossref","abstract":"Over the past few years, our traditional ground-based transportation system has encountered various challenges, including overuse, traffic congestion, growing urban populations, high infrastructure costs, and disorganization. Unmanned aerial vehicles, commonly referred to as drones, have significantly impacted aerial communication in both the academic and industrial sectors. Therefore, researchers and scientists from the aviation and automotive industries have collaborated to create an innovative air transport system that solves traditional transport problems. In the coming years, urban air mobility (UAM) is expected to become an emerging air transportation system that enables on-demand air travel. UAM is also anticipated to offer more environmentally friendly, cost-effective, and faster modes of transportation than ground-based alternatives. Owing to the unique characteristics of personal air vehicles, ensuring reliable communication and maintaining proper safety and security, air traffic management, collision detection, path planning, and highly accurate localization and navigation have become increasingly complex. This article provides an extensive literature review of recent technologies to address the challenges UAM faces. First, we present UAM communication requirements in terms of coverage, data rate, latency, spectrum efficiency, networking, and computing capabilities. Subsequently, we identify the potential key technological enablers to meet these requirements and overcome their challenges. Finally, we discuss open research issues, challenges, and future research directions for UAM deployment.","url":"https://doi.org/10.3390/drones8120702","authors":["Muhammad Yeasir Arafat","Sungbum Pan"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-11-25T09:59:34Z","doi":"10.3390/drones8120702","addedAt":"2026-08-31T06:39:43.694Z","updatedAt":"2026-08-31T06:39:57.284Z"},{"id":"doi:10.3390/aerospace10070631","name":"The Impact of Battery Performance on Urban Air Mobility Operations","source":"crossref","abstract":"Urban air mobility (UAM) is a promising transportation concept that can effectively address city traffic congestion and environmental pollution. Power batteries are used extensively in UAM vehicles, and their technical characteristics (charge rate and specific energy) are coupled with other sizing parameters to significantly impact the direct operating cost (DOC). This study develops a DOC model based on a standard flight profile and a detailed battery model to determine the impact of battery performance on UAM operations. The results reveal that for a given operating model and current battery technology, there is a narrower charge rate choice for different DOCs; a charging rate of at least 2–2.5 C is required for rational design. Advancements in specific energy are expected to reduce the DOC by 20–25% by 2035. This model reflects the impacts of battery performance on UAM operations, which is conducive to further developments in the UAM market.","url":"https://doi.org/10.3390/aerospace10070631","authors":["Xiaotao Qiao","Guotao Chen","Weichao Lin","Jun Zhou"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-07-13T01:58:11Z","doi":"10.3390/aerospace10070631","addedAt":"2026-08-31T06:39:43.694Z","updatedAt":"2026-08-31T06:39:57.284Z"},{"id":"doi:10.2514/6.2026-4681","name":"Robustness Analysis of Neural Network Surrogates for Urban Air Mobility Flight Dynamics","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2026-4681","authors":["Victor Amaya","Jun Xiang","Jun Chen"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-06-04T17:45:42Z","doi":"10.2514/6.2026-4681","addedAt":"2026-08-31T06:39:43.694Z","updatedAt":"2026-08-31T06:39:57.284Z"},{"id":"doi:10.4050/sm_2019_prop-979","name":"Urban Air Mobility - The EVTOL Revolution","source":"crossref","abstract":"Urban Air Mobility - The EVTOL Revolution.","url":"https://doi.org/10.4050/sm_2019_prop-979","authors":["James Sherman"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-06-12T17:08:36Z","doi":"10.4050/sm_2019_prop-979","addedAt":"2026-08-31T06:39:43.694Z","updatedAt":"2026-08-31T06:39:57.284Z"},{"id":"doi:10.2514/6.2018-3891","name":"Agent-based Simulation of Urban Air Mobility","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2018-3891","authors":["Raoul Rothfeld","MIlos Balac","Kay O. Ploetner","Constantinos Antoniou"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2018-06-24T14:16:59Z","doi":"10.2514/6.2018-3891","addedAt":"2026-08-31T06:39:43.694Z","updatedAt":"2026-08-31T06:39:57.284Z"},{"id":"doi:10.31219/osf.io/ud3qp","name":"An Empirical Investigation on the Influence of Temporal Distance on the Acceptance of Innovations - Using the Example of Urban Air Mobility","source":"crossref","abstract":"Upon reviewing different approaches to explain the acceptance of innovations, it becomes apparent that the temporal proximity or distance of innovations, the possible effects of which could be neglected, are not considered sufficiently. The question is whether the influence on the acceptance can be observed by high or low temporal distance. This assumption is motivated by the implications of the Construal Level Theory, which suggests such an influence of temporal proximity or distance of an event on the evaluation. The concept of Urban Air Mobility was used as an example of application. To test this assumption, the participants (N = 369) of an online survey were confronted with a temporally close or distant condition and asked to complete a questionnaire designed on the basis of UTAUT2 and other measurement aspects. The results showed that the different conditions had an influence on the time estimation of the participants. Furthermore a significant influence of the moderating effect of the time distance could be determined for the factor safety concerns.","url":"https://doi.org/10.31219/osf.io/ud3qp","authors":["Mikael Bagratuni"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2021-10-13T19:33:57Z","doi":"10.31219/osf.io/ud3qp","addedAt":"2026-08-31T06:39:43.694Z","updatedAt":"2026-08-31T06:39:57.284Z"},{"id":"doi:10.2514/6.2021-2333","name":"Accommodating Operational Uncertainty in Urban Air Mobility Operations with Strategic Deconfliction","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2021-2333","authors":["Antony D. Evans","Maxim Egorov","Scot Campbell"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2021-07-28T19:32:16Z","doi":"10.2514/6.2021-2333","addedAt":"2026-08-31T06:39:43.694Z","updatedAt":"2026-08-31T06:39:57.284Z"},{"id":"doi:10.2514/6.2020-3210","name":"AEGIS: Autonomous Entity Global Intelligence System for Urban Air Mobility","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2020-3210","authors":["Aditya N. Das","Kristina Marotta","Husni R. Idris"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2020-06-08T17:02:08Z","doi":"10.2514/6.2020-3210","addedAt":"2026-08-31T06:39:43.694Z","updatedAt":"2026-08-31T06:39:57.284Z"},{"id":"doi:10.26552/pas.z.2025.1.23","name":"Urban Air Mobility ako ďalšia dimenzia dopravy v mestách","source":"crossref","abstract":"This thesis analyzes Urban Air Mobility (UAM) as an innovative solution to urban transport challenges in the EU, focusing on technologies, infrastructure, regulations, and benefits for transport and logistics. UAM, utilizing eVTOL aircraft, can reduce traffic congestion, create jobs, and lower CO2 emissions. In the EU, countries like France and Germany lead in infrastructure development and certification of models like Volocopter VoloCity. UAM could generate 90,000 jobs and a market value of 4.2 billion EUR by 2030, while cutting emissions by up to 52% per passengerkilometer. In logistics, it shortens delivery times to 15–30 minutes and reduces costs by 20–30%. Mathematical modeling estimates UAM adoption at 0.5–2% of trips in London could save 31–124 minutes annually per driver. Challenges include high vertiport costs (500,000–2 million EUR), regulatory harmonization, and public safety concerns. Recommendations include infrastructure investments, unified regulations, and public campaigns to enhance acceptance.","url":"https://doi.org/10.26552/pas.z.2025.1.23","authors":["Artúr Malaník","Andrej Novák"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-10-21T08:30:58Z","doi":"10.26552/pas.z.2025.1.23","addedAt":"2026-08-31T06:39:43.694Z","updatedAt":"2026-08-31T06:39:57.284Z"},{"id":"doi:10.2514/6.2024-2395","name":"Embedding Safety Requirements into Learning-Based Controllers for Urban Air Mobility Applications","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2024-2395","authors":["Omanshu Thapliyal","Malarvizhi Sankaranarayanasamy","Ravigopal Vennelakanti"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-01-29T20:50:11Z","doi":"10.2514/6.2024-2395","addedAt":"2026-08-31T06:39:43.694Z","updatedAt":"2026-08-31T06:39:57.284Z"},{"id":"doi:10.61782/fa.2023.0104","name":"Assessment of sound propagation for the urban air mobility","source":"crossref","abstract":"","url":"https://doi.org/10.61782/fa.2023.0104","authors":["P. Malbequi"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-01-19T04:53:22Z","doi":"10.61782/fa.2023.0104","addedAt":"2026-08-31T06:39:43.694Z","updatedAt":"2026-08-31T06:39:57.284Z"},{"id":"doi:10.2514/6.2021-0660","name":"A Survey of Cyber Threats and Security Controls Analysis for Urban Air Mobility Environments","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2021-0660","authors":["Kenneth Freeman","Steve Garcia"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2021-01-05T07:59:38Z","doi":"10.2514/6.2021-0660","addedAt":"2026-08-31T06:39:43.694Z","updatedAt":"2026-08-31T06:39:57.284Z"},{"id":"doi:10.2139/ssrn.7212160","name":"Dynamic Multi-Criteria Algorithm for Hybrid Urban Air Mobility Airspace Structure Synthesis Using Nonlinear State-Space Simulation","source":"crossref","abstract":"Urban Air Mobility (UAM) requires airspace structures that balance safety, congestion resilience, scalability, utilization efficiency, and robustness in dynamic urban environments. However, existing evaluations largely rely on static approaches and isolated indicators, limiting their ability to capture nonlinear traffic evolution, congestion accumulation, and disturbance propagation under realistic operating conditions. This study proposes a dynamic multi-criteria algorithm for UAM airspace structure optimization using nonlinear state-space simulation. The framework integrates traffic evolution, congestion-aware operational modeling, cyber disturbance representation, scenario-based simulation, and dynamic performance evaluation. First, six existing structures, namely Full Mix, Zones, Skylanes, Corridors, Layers, and Tubes, were evaluated under five scenarios: normal operation, high-density traffic, burst traffic surge, navigation degradation, and cyber disturbance. The model dynamically represents traffic density, collision risk, ground risk, energy consumption, airspace utilization, and congestion over time. Results show that Layers deliver the strongest safety performance through altitude-based separation, whereas Full Mix provides superior congestion resilience through routing flexibility and traffic dissipation. Building on these complementary strengths, a novel hybrid structure, DEVAS (Dual Echelon Vertical Mix Airspace), was developed by combining the safety advantages of Layers with the flexibility of Full Mix. DEVAS was then compared with Layers and Full Mix under identical scenarios. The results demonstrate that DEVAS consistently delivers a more balanced overall performance across safety, congestion resilience, scalability, energy efficiency, utilization, and operational robustness. The proposed framework offers a systematic basis for designing next-generation UAM airspace structures capable of supporting high-density urban electric vertical take-off and landing operations while supporting decisions under disturbance conditions.","url":"https://doi.org/10.2139/ssrn.7212160","authors":["Devie  Anggraeni Hadi","Mohammed  Ali Berawi","Bambang Susantono"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-07-31T17:50:38Z","doi":"10.2139/ssrn.7212160","addedAt":"2026-08-31T06:39:43.694Z","updatedAt":"2026-08-31T06:39:57.284Z"},{"id":"doi:10.2514/6.2019-0530","name":"Environment Impact on Feasibility of Sub-Urban Air Mobility using STOL Vehicles","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2019-0530","authors":["Cedric Y. Justin","Dimitri N. Mavris"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2019-01-07T05:52:39Z","doi":"10.2514/6.2019-0530","addedAt":"2026-08-31T06:39:43.694Z","updatedAt":"2026-08-31T06:39:57.284Z"},{"id":"doi:10.33599/nasampe/s.22.0842","name":"Manufacturing Process Considerations when Transitioning from Thermoset to Thermoplastic Composite Material for Urban Air Mobility Propellers","source":"crossref","abstract":"","url":"https://doi.org/10.33599/nasampe/s.22.0842","authors":["D. Barazanchy","J. Widawsky","W. Backer","S. Jones"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2022-12-15T23:35:51Z","doi":"10.33599/nasampe/s.22.0842","addedAt":"2026-08-31T06:39:43.694Z","updatedAt":"2026-08-31T06:39:57.284Z"},{"id":"doi:10.2514/6.2019-3520","name":"Multi-Agent Autonomous On-Demand Free Flight Operations in Urban Air Mobility","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2019-3520","authors":["Xuxi Yang","Lisen Deng","Peng Wei"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2019-06-15T13:37:16Z","doi":"10.2514/6.2019-3520","addedAt":"2026-08-31T06:39:43.694Z","updatedAt":"2026-08-31T06:39:57.284Z"},{"id":"doi:10.2514/6.2024-3938","name":"Modeling and Analysis of Dynamic Pricing Potential for Urban Air Mobility Operations","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2024-3938","authors":["Ansgar Kirste","Eike Stumpf"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-09-20T09:39:41Z","doi":"10.2514/6.2024-3938","addedAt":"2026-08-31T06:39:43.694Z","updatedAt":"2026-08-31T06:39:57.284Z"},{"id":"doi:10.3390/su15010437","name":"Optimal Vertiport Airspace and Approach Control Strategy for Urban Air Mobility (UAM)","source":"crossref","abstract":"Recently, urban air mobility (UAM), a new transportation system that can expand urban mobility from 2D to 3D, has been in the spotlight all over the world. For successful implementation of UAM, not only eVTOL aircraft development but also various systems such as UAM traffic management are required; however, research on these areas is still insufficient. Based on the BQA model, in this study, we introduce the balanced branch queuing approach (BBQA) model as a new approach control model that can improve operational efficiency by enabling the landing order to be changed more easily. Through simulation, its effectiveness was verified. The proposed BBQA achieved the identical airspace safety as the BQA model, in addition to showing a superior result to the SBA model in on-time performance (OTP). The vertiport airspace blueprint concept and approach control model proposed in this study are expected to play an important role in future studies in the area of air traffic management in UAM.","url":"https://doi.org/10.3390/su15010437","authors":["Kyowon Song"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2022-12-28T05:42:48Z","doi":"10.3390/su15010437","addedAt":"2026-08-31T06:39:43.694Z","updatedAt":"2026-08-31T06:39:57.284Z"},{"id":"doi:10.2514/6.2023-1558","name":"Wake Vortex Effects Between Urban Air Mobility Aircraft","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2023-1558","authors":["Joshua E. Baculi","Nhan T. Nguyen","Wendy Okolo","Juntao Xiong"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-01-21T01:55:28Z","doi":"10.2514/6.2023-1558","addedAt":"2026-08-31T06:39:43.694Z","updatedAt":"2026-08-31T06:39:57.284Z"},{"id":"doi:10.2514/6.2024-1118","name":"High-Fidelity Simulations of Lift+Cruise VTOL Urban Air Mobility Concept Aircraft in Hover","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2024-1118","authors":["Yi Liu","Li Wang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-01-29T21:44:33Z","doi":"10.2514/6.2024-1118","addedAt":"2026-08-31T06:39:43.694Z","updatedAt":"2026-08-31T06:39:57.284Z"},{"id":"doi:10.2139/ssrn.4343979","name":"On a Fair and Risk-averse Urban Air Mobility Resource Allocation Problem Under Demand and Capacity Uncertainties","source":"crossref","abstract":"Urban Air Mobility (UAM) is an emerging air transportation mode to alleviate the ground traffic burden and achieve zero direct aviation emissions. Due to the potential economic scaling effects, the UAM traffic flow is expected to increase dramatically once implemented, and its market can be substantially large. To be prepared for the era of UAM, we study the Fair and Risk-averse Urban Air Mobility resource allocation model (FairUAM) under passenger demand and airspace capacity uncertainties for fair, safe, and efficient aircraft operations. FairUAM is a two-stage model, where the first stage is the aircraft resource allocation, and the second stage is to fairly and efficiently assign the ground and airspace delays to each aircraft provided the realization of random airspace capacities and passenger demand. We show that FairUAM is NP-hard even when there is no delay assignment decision or no aircraft allocation decision. Thus, we recast FairUAM as a mixed-integer linear program (MILP) and explore model properties and strengthen the model formulation by developing multiple families of valid inequalities. The stronger formulation allows us to develop a customized exact decomposition algorithm with both Benders and L-shaped cuts, which significantly outperforms the off-the-shelf solvers. Finally, we numerically demonstrate the effectiveness of the proposed method and draw managerial insights when applying FairUAM to a real-world network.","url":"https://doi.org/10.2139/ssrn.4343979","authors":["Luying Sun","Haoyun Deng","Peng Wei","Weijun Xie"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-01-31T19:08:18Z","doi":"10.2139/ssrn.4343979","addedAt":"2026-08-31T06:39:43.694Z","updatedAt":"2026-08-31T06:39:57.284Z"},{"id":"doi:10.5040/9798400608797.ch-004","name":"High-level Support for Air Mobility","source":"crossref","abstract":"","url":"https://doi.org/10.5040/9798400608797.ch-004","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-02-22T06:13:20Z","doi":"10.5040/9798400608797.ch-004","addedAt":"2026-08-31T06:39:43.694Z","updatedAt":"2026-08-31T06:39:57.284Z"},{"id":"doi:10.1016/j.urbmob.2025.100106","name":"Road Transport and Urban Mobility Greenhouse Gas Emissions Factor for Air Pollution Modeling in Burkina Faso","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.urbmob.2025.100106","authors":["Issaka Abdou Razakou Kiribou","Tiga Neya","Bernard Nana","Kehinde Ogunjobi","Tizane Daho","Y․ Woro Gounkaou","Faith Mawia Muema","Dejene W. Sintayehu"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-02-03T07:35:32Z","doi":"10.1016/j.urbmob.2025.100106","addedAt":"2026-08-31T06:39:43.694Z","updatedAt":"2026-08-31T06:39:57.284Z"},{"id":"doi:10.1016/bs.atpp.2026.07.005","name":"Exploring the health implications of new mobility: Rideshare, automated vehicles, urban air mobility, and beyond","source":"crossref","abstract":"","url":"https://doi.org/10.1016/bs.atpp.2026.07.005","authors":["William Riggs"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-08-07T19:48:08Z","doi":"10.1016/bs.atpp.2026.07.005","addedAt":"2026-08-31T06:39:43.694Z","updatedAt":"2026-08-31T06:39:57.284Z"},{"id":"doi:10.1201/9781003746607-4","name":"Advanced Air Mobility","source":"crossref","abstract":"","url":"https://doi.org/10.1201/9781003746607-4","authors":["Lee Nguyen","Melinda Marion"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-05-21T09:32:09Z","doi":"10.1201/9781003746607-4","addedAt":"2026-08-31T06:39:43.694Z","updatedAt":"2026-08-31T06:39:57.285Z"},{"id":"doi:10.2514/6.2026-1986","name":"Navigation Path Planning and Flight Rules in Simulated Air Corridors for Urban Air Mobility","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2026-1986","authors":["Alok N. Menon","James E. Steck","John Watkins","Kamesh Namuduri","Kevin Kraus","Zachary Farrington"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-01-29T10:19:56Z","doi":"10.2514/6.2026-1986","addedAt":"2026-08-31T06:39:43.694Z","updatedAt":"2026-08-31T06:39:57.840Z"},{"id":"doi:10.1007/s11270-013-1737-4","name":"Evaluation of Metal Mobility and Bioaccessibility in Soils of Urban Vegetable Gardens Using Sequential Extraction","source":"crossref","abstract":"","url":"https://doi.org/10.1007/s11270-013-1737-4","authors":["Zsuzsanna Szolnoki","Andrea Farsang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2013-09-10T04:17:49Z","doi":"10.1007/s11270-013-1737-4","addedAt":"2026-08-31T06:39:43.694Z","updatedAt":"2026-08-31T06:39:57.840Z"},{"id":"doi:10.1016/j.tbs.2025.100990","name":"Exploring the integration of urban air mobility into Mobility-as-a-Service: A stated preference analysis of commuters","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.tbs.2025.100990","authors":["Ying Zhao","Yan Hu","Tao Feng"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-01-25T11:38:55Z","doi":"10.1016/j.tbs.2025.100990","addedAt":"2026-08-31T06:39:43.694Z","updatedAt":"2026-08-31T06:39:57.840Z"},{"id":"doi:10.2139/ssrn.7175994","name":"Retrieval Algorithm for High-Resolution Near-Surface Air Temperature Based on Land Surface Temperature from a Geostationary Satellite for Urban Air Mobility","source":"crossref","abstract":"Land Surface Temperature (LST) and Near-Surface Air Temperature (NSAT) are critical parameters for understanding surface–atmosphere interactions. Urban Air Mobility (UAM) operations involve small aircraft flying at low altitudes, making them highly sensitive to near-surface meteorological conditions. Among these, NSAT directly and indirectly affects UAM flight safety and serves as a key variable for stable operations. Owing to the small size of UAM aircraft, even local weather phenomena can significantly impact flight performance, underscoring the need for high-resolution meteorological monitoring. In this study, we develop a high-resolution NSAT retrieval algorithm to support UAM flight operations. A modified Taylor Expansion Algorithm, utilizing surface spectral indices with low temporal variability, was applied to spatially downscale LST from the Geostationary Korea Multi-Purpose Satellite - 2A to a 100 m resolution by integrating surface information from Landsat-8. A thermodynamics-based formulation for converting LST to NSAT was then parameterized using satellite-observable variables, enabling air temperature estimation solely from satellite inputs. The parameterized equation was combined with multiple regression using air temperature observations from the Automatic Weather System (AWS) to retrieve NSAT at 30-minute intervals. Independent validation over southeastern South Korea for 2023, using time steps for which AWS data were not used as input, yielded an annual root mean square error of 2.15 °C, a mean absolute error of 1.54 °C, and a correlation coefficient (R) of 0.96. The retrieved product captures the local air temperature variability within urban environments in near real time and is expected to serve as a key meteorological input for UAM operational support.","url":"https://doi.org/10.2139/ssrn.7175994","authors":["Dahwan Shin","Ehsan  Parsa Javid","Sang Seo Park","Minseok Kim","Dong-Hyun Cha"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-07-24T19:48:43Z","doi":"10.2139/ssrn.7175994","addedAt":"2026-08-31T06:39:43.694Z","updatedAt":"2026-08-31T06:39:57.840Z"},{"id":"doi:10.3917/bru.rende.2020.01.0351","name":"La mobilité urbaine / Urban Mobility","source":"crossref","abstract":"","url":"https://doi.org/10.3917/bru.rende.2020.01.0351","authors":["Marek Szewczyk"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-07-28T08:03:51Z","doi":"10.3917/bru.rende.2020.01.0351","addedAt":"2026-08-31T06:39:43.694Z","updatedAt":"2026-08-31T06:39:57.840Z"},{"id":"doi:10.3917/bru.rende.2020.01.0061","name":"La mobilité urbaine / Urban Mobility","source":"crossref","abstract":"","url":"https://doi.org/10.3917/bru.rende.2020.01.0061","authors":["Thierry Tanquerel"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-07-28T08:03:51Z","doi":"10.3917/bru.rende.2020.01.0061","addedAt":"2026-08-31T06:39:43.694Z","updatedAt":"2026-08-31T06:39:57.840Z"},{"id":"doi:10.3917/bru.rende.2020.01.0021","name":"La mobilité urbaine / Urban Mobility","source":"crossref","abstract":"","url":"https://doi.org/10.3917/bru.rende.2020.01.0021","authors":["Willy Spannowsky"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-07-28T08:03:51Z","doi":"10.3917/bru.rende.2020.01.0021","addedAt":"2026-08-31T06:39:43.694Z","updatedAt":"2026-08-31T06:39:57.840Z"},{"id":"doi:10.3917/bru.rende.2020.01.0259","name":"La mobilité urbaine / Urban Mobility","source":"crossref","abstract":"","url":"https://doi.org/10.3917/bru.rende.2020.01.0259","authors":["François Priet"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-07-28T08:03:51Z","doi":"10.3917/bru.rende.2020.01.0259","addedAt":"2026-08-31T06:39:43.694Z","updatedAt":"2026-08-31T06:39:57.840Z"},{"id":"doi:10.3917/bru.rende.2020.01.0391","name":"La mobilité urbaine / Urban Mobility","source":"crossref","abstract":"","url":"https://doi.org/10.3917/bru.rende.2020.01.0391","authors":["Etienne Poltier"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-07-28T08:03:51Z","doi":"10.3917/bru.rende.2020.01.0391","addedAt":"2026-08-31T06:39:43.694Z","updatedAt":"2026-08-31T06:39:57.840Z"},{"id":"doi:10.3917/bru.rende.2020.01.0293","name":"La mobilité urbaine / Urban Mobility","source":"crossref","abstract":"","url":"https://doi.org/10.3917/bru.rende.2020.01.0293","authors":["Konstantinos Gogos"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-07-28T08:03:51Z","doi":"10.3917/bru.rende.2020.01.0293","addedAt":"2026-08-31T06:39:43.694Z","updatedAt":"2026-08-31T06:39:57.841Z"},{"id":"doi:10.3917/bru.rende.2020.01.0123","name":"La mobilité urbaine / Urban Mobility","source":"crossref","abstract":"","url":"https://doi.org/10.3917/bru.rende.2020.01.0123","authors":["Matthias Rossi"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-07-28T08:03:51Z","doi":"10.3917/bru.rende.2020.01.0123","addedAt":"2026-08-31T06:39:43.694Z","updatedAt":"2026-08-31T06:39:57.841Z"},{"id":"doi:10.3917/bru.rende.2020.01.0027","name":"La mobilité urbaine / Urban Mobility","source":"crossref","abstract":"","url":"https://doi.org/10.3917/bru.rende.2020.01.0027","authors":["Christoph Mayer"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-07-28T08:03:51Z","doi":"10.3917/bru.rende.2020.01.0027","addedAt":"2026-08-31T06:39:43.694Z","updatedAt":"2026-08-31T06:39:57.841Z"},{"id":"doi:10.3917/bru.rende.2020.01.0015","name":"La mobilité urbaine / Urban Mobility","source":"crossref","abstract":"","url":"https://doi.org/10.3917/bru.rende.2020.01.0015","authors":["Willy Spannowsky"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-07-28T08:03:51Z","doi":"10.3917/bru.rende.2020.01.0015","addedAt":"2026-08-31T06:39:43.694Z","updatedAt":"2026-08-31T06:39:57.841Z"},{"id":"doi:10.3917/bru.rende.2020.01.0075","name":"La mobilité urbaine / Urban Mobility","source":"crossref","abstract":"","url":"https://doi.org/10.3917/bru.rende.2020.01.0075","authors":["Francis Haumont"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-07-28T08:03:51Z","doi":"10.3917/bru.rende.2020.01.0075","addedAt":"2026-08-31T06:39:43.694Z","updatedAt":"2026-08-31T06:39:57.841Z"},{"id":"doi:10.1016/b978-0-443-34160-1.00011-0","name":"Sustainable urban mobility plans (SUMPs): An overview","source":"crossref","abstract":"","url":"https://doi.org/10.1016/b978-0-443-34160-1.00011-0","authors":["Fatih Canitez"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-07-23T09:59:25Z","doi":"10.1016/b978-0-443-34160-1.00011-0","addedAt":"2026-08-31T06:39:43.694Z","updatedAt":"2026-08-31T06:39:57.841Z"},{"id":"doi:10.3917/bru.rende.2020.01.0155","name":"La mobilité urbaine / Urban Mobility","source":"crossref","abstract":"","url":"https://doi.org/10.3917/bru.rende.2020.01.0155","authors":["Lydia Burgstaller"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-07-28T08:03:51Z","doi":"10.3917/bru.rende.2020.01.0155","addedAt":"2026-08-31T06:39:43.694Z","updatedAt":"2026-08-31T06:39:57.841Z"},{"id":"doi:10.3917/bru.rende.2020.01.0011","name":"La mobilité urbaine / Urban Mobility","source":"crossref","abstract":"","url":"https://doi.org/10.3917/bru.rende.2020.01.0011","authors":["David Renders"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-07-28T08:03:51Z","doi":"10.3917/bru.rende.2020.01.0011","addedAt":"2026-08-31T06:39:43.694Z","updatedAt":"2026-08-31T06:39:57.841Z"},{"id":"doi:10.3917/bru.rende.2020.01.0097","name":"La mobilité urbaine / Urban Mobility","source":"crossref","abstract":"","url":"https://doi.org/10.3917/bru.rende.2020.01.0097","authors":["Rozen Noguellou"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-07-28T08:03:51Z","doi":"10.3917/bru.rende.2020.01.0097","addedAt":"2026-08-31T06:39:43.694Z","updatedAt":"2026-08-31T06:39:57.841Z"},{"id":"doi:10.2139/ssrn.4873044","name":"Lighting Systems Design for Urban Air Mobility Vertiport: Critical Analysis and Experimental Validation","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.4873044","authors":["Moon Yong Ha","Ho Il Jang","Min-Su Lim","Chengzhang Lyu","Venkata Dinavahi"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-06-21T22:21:56Z","doi":"10.2139/ssrn.4873044","addedAt":"2026-08-31T06:39:43.694Z","updatedAt":"2026-08-31T06:39:57.841Z"},{"id":"doi:10.1016/j.trpro.2026.02.116","name":"What affects acceptance of Urban Air Mobility services?","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.trpro.2026.02.116","authors":["Sofia Kalakou","Tomas Ferreira","Helena Almeida"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-03-17T17:25:19Z","doi":"10.1016/j.trpro.2026.02.116","addedAt":"2026-08-31T06:39:43.694Z","updatedAt":"2026-08-31T06:39:57.841Z"},{"id":"doi:10.1016/j.jairtraman.2024.102613","name":"Urban air mobility for time-sensitive goods with explicit customer preferences: A case study on Chengdu","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.jairtraman.2024.102613","authors":["Bozhi Zhao","Yining Suo","Li Tang","Chenglong Li","Mengying Fu","Longyang Huang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-05-30T07:51:00Z","doi":"10.1016/j.jairtraman.2024.102613","addedAt":"2026-08-31T06:39:43.694Z","updatedAt":"2026-08-31T06:39:57.841Z"},{"id":"doi:10.4271/2023-01-1107","name":"A Psychoacoustic Test for Urban Air Mobility Vehicle Sound Quality","source":"crossref","abstract":"&lt;div class=\"section abstract\"&gt;&lt;div class=\"htmlview paragraph\"&gt;This paper describes a psychoacoustic test in the Exterior Effects Room (EER) at the NASA Langley Research Center. The test investigated the degree to which sound quality metrics (sharpness, tonality, etc.) are predictive of annoyance to notional sounds of Urban Air Mobility (UAM) vehicles (e.g., air taxis). A suite of 136 unique (4.6 second duration) UAM rotor noise stimuli was generated. These stimuli were based on aeroacoustic predictions of a NASA reference UAM quadrotor aircraft under two flight conditions. The synthesizer changed rotor noise parameters such as the blade passage frequency, the relative level of broadband self-noise, and the relative level of tonal motor noise. With loudness constant, the synthesis parameters impacted sound quality in a way that created a spread of predictors both in synthesizer parameters and in sound quality metrics. Forty subjects listened to the suite of UAM noise stimuli in the EER and judged each sound individually on a standard scale of annoyance. Additionally, a subset of the UAM noise stimuli were compared to a reference sound that varied in loudness. From these responses, the relative effect of changes in loudness or changes in other sound quality metrics on annoyance was evaluated. This paper covers background and motivation for the test, details of how the sound stimuli were generated, and details of the test design and execution. Test results investigate how sound quality may affect perceived annoyance to UAM vehicle noise, indicating the importance of sharpness, tonality, impulsiveness, and roughness on annoyance to UAM noise.&lt;/div&gt;&lt;/div&gt;","url":"https://doi.org/10.4271/2023-01-1107","authors":["Matthew Boucher","Menachem Rafaelof","Durand Begault","Andrew Christian","Siddhartha Krishnamurthy","Stephen Rizzi"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-05-07T22:15:27Z","doi":"10.4271/2023-01-1107","addedAt":"2026-08-31T06:39:43.694Z","updatedAt":"2026-08-31T06:39:57.841Z"},{"id":"doi:10.2514/6.2020-0014","name":"Electrical Cable Design for Urban Air Mobility","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2020-0014","authors":["Eliot Aretskin-Hariton","Sydney L. Schnulo","Eric S. Hendricks","Jeffryes W. Chapman"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2020-01-05T12:55:51Z","doi":"10.2514/6.2020-0014","addedAt":"2026-08-31T06:39:43.694Z","updatedAt":"2026-08-31T06:39:57.841Z"},{"id":"doi:10.3901/jme.2024.22.257","name":"Analysis of Key Performance Metrics of Electric Flying Cars for Urban Air Mobility","source":"crossref","abstract":"","url":"https://doi.org/10.3901/jme.2024.22.257","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-12-19T03:15:36Z","doi":"10.3901/jme.2024.22.257","addedAt":"2026-08-31T06:39:43.694Z","updatedAt":"2026-08-31T06:39:57.841Z"},{"id":"doi:10.2514/6.2023-4043","name":"Real Time Optimal Trajectory Synthesis for an Unmanned Aerial Vehicle in Urban Air Mobility Applications","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2023-4043","authors":["Bilge Kacmaz","Ranjan Vepa"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-06-08T11:36:49Z","doi":"10.2514/6.2023-4043","addedAt":"2026-08-31T06:39:43.694Z","updatedAt":"2026-08-31T06:39:57.841Z"},{"id":"doi:10.2514/6.2026-1869","name":"Faireness-Informed Design of Urban Air Mobility Network: A Case Study of Dallas-Fort Worth Metropolitan Area","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2026-1869","authors":["Jinzhu Yu"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-01-29T10:19:56Z","doi":"10.2514/6.2026-1869","addedAt":"2026-08-31T06:39:43.694Z","updatedAt":"2026-08-31T06:39:57.841Z"},{"id":"doi:10.64631/snct7463","name":"Acoustic Data from the Moog S-250 Urban Air Mobility Vehicle Hover Test","source":"crossref","abstract":"","url":"https://doi.org/10.64631/snct7463","authors":["Brenda S Henderson","Alexander A Svetgoff","Jordan D Cluts"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-07-14T16:30:51Z","doi":"10.64631/snct7463","addedAt":"2026-08-31T06:39:43.694Z","updatedAt":"2026-08-31T06:39:57.841Z"},{"id":"doi:10.1016/j.jenvman.2018.10.039","name":"Evaluating the impact of “Sustainable Urban Mobility Plans” on urban background air quality","source":"pubmed","abstract":"Air quality in European cities is still a challenge, with various urban areas frequently exceeding the PM 2.5 and NO 2 concentration levels allowed by the European Union Air Quality Standards. This is a problem both in terms of legislation compliance, but also in terms of health of citizens, as it has been recently estimated that 400 to 450 thousand people die prematurely every year due to poor air quality. Air quality in cities can be improved with a number of interventions, at different sectoral (industry, traffic, residential, etc &#x2026;) and geographical (international, European, national, local, etc.) levels. In this paper we explore the potential of city level plans to improve mobility and air quality (excluding electro-mobility options, not considered in this study). We applied the \"Sustainable Urban Mobility Plans\" (SUMPs) framework to 642 cities in Europe and modelled how the measures they include may impact at first on mobility and emissions at urban level, and then on urban background concentrations of PM2.5 and NO2. Results show that annual averages moderately improve for both pollutants, with reductions of urban background concentrations up to 2% for PM 2.5 and close to 4% for NO 2 . The impact on NO 2 at street level (that will be higher than on urban background) is not evaluated in this work. The air quality improvement of the simulated SUMP would only partially alleviate air quality problems in urban areas, but such a reduction in the emissions of air pollutants should still be considered as a positive result of SUMPs, given that they correspond to a set of low-cost measures that can be implemented at local level. Furthermore, the introduction of electro-mobility options (not considered here) would increase the impact on air quality. Other types of benefits, such as reduced fuel consumption, greenhouse gas emissions, higher impact at street level or accident rates reduction further add to the overall positive impact.","url":"https://doi.org/10.1016/j.jenvman.2018.10.039","authors":["E. Pisoni","P. Christidis","P. Thunis","M. Trombetti","Pisoni E","Christidis P","Thunis P","Trombetti M"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2018-10-24T04:58:53Z","doi":"10.1016/j.jenvman.2018.10.039","addedAt":"2026-08-31T06:39:43.694Z","updatedAt":"2026-08-31T06:39:57.841Z"},{"id":"doi:10.2139/ssrn.4550581","name":"Analyzing the Impact of Service Stages on Demand and Modal Shift for Urban Air Mobility: A Case Study of Seoul Metropolitan Area","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.4550581","authors":["Hyunsoo Kim","Kwanjung Yee"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-08-24T07:18:37Z","doi":"10.2139/ssrn.4550581","addedAt":"2026-08-31T06:39:43.694Z","updatedAt":"2026-08-31T06:39:57.841Z"},{"id":"doi:10.2514/6.2022-1509","name":"A Multi-Agent Reinforcement Learning Approach to Traffic Control at Future Urban Air Mobility Intersections","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2022-1509","authors":["Sabrullah Deniz","Zhenbo Wang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2022-01-04T05:30:49Z","doi":"10.2514/6.2022-1509","addedAt":"2026-08-31T06:39:43.694Z","updatedAt":"2026-08-31T06:39:57.841Z"},{"id":"doi:10.31219/osf.io/fqu3k","name":"A Metrics-based Method for Evaluating Corridors for Urban Air Mobility Operations","source":"crossref","abstract":"Air corridor evaluation is important for the planning and organization of urban air mobility operations. However, aviation metrics are typically evaluated by simulation and optimization, which can be redundant and bulky or heavily rely on unrealistic assumptions. We propose to explore metrics to evaluate urban air corridor design in congested areas that (1) are based on traffic data (i.e., without the need for simulation), and (2) serve different temporal and spatial (i.e. multi-objective) purposes. The metrics will account for different stakeholder interests in the evaluation of the corridor designs. For this study, the corridor is described as a bigger cube combined with several small cubes based on the vertical and lateral distance thresholds derived from FAA regulations. Aircraft time, the number of aircraft within the cube within a certain period and location slices of the corridor are used to evaluate the proposed air corridors. This paper discusses methods for choosing the best corridors from a given set as well as the best route for a given region. The proposed methodology is demonstrated with a case study based on air traffic data within 150 miles of Edwards Air Force Base in Los Angeles, California. Experiments show that air traffic data can help stakeholders make both spatial and temporal decisions.","url":"https://doi.org/10.31219/osf.io/fqu3k","authors":["Xuan Jiang","Xin Peng","Vishwanath Bulusu","Cristian Poliziani","Gano Chatterji","Raja Sengupta"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2022-06-15T03:06:24Z","doi":"10.31219/osf.io/fqu3k","addedAt":"2026-08-31T06:39:43.694Z","updatedAt":"2026-08-31T06:39:57.841Z"},{"id":"doi:10.1002/9781394359325.ch01","name":"What Is Advanced Air Mobility?","source":"crossref","abstract":"","url":"https://doi.org/10.1002/9781394359325.ch01","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-08-19T13:30:21Z","doi":"10.1002/9781394359325.ch01","addedAt":"2026-08-31T06:39:43.694Z","updatedAt":"2026-08-31T06:39:57.841Z"},{"id":"doi:10.1016/j.urbmob.2026.100207","name":"From street experimentation to urban transformation: The role of tactical urbanism and street experiments in urban mobility","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.urbmob.2026.100207","authors":["Benjamin Büttner","Enrica Papa","Luca Bertolini"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-04-02T11:34:27Z","doi":"10.1016/j.urbmob.2026.100207","addedAt":"2026-08-31T06:39:43.694Z","updatedAt":"2026-08-31T06:39:57.841Z"},{"id":"doi:10.2514/6.2019-0531","name":"Hybrid Turbo-Electric STOL Aircraft for Urban Air Mobility","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2019-0531","authors":["Albert Gnadt","Stewart Isaacs","Rachel Price","Millicent Dethy","Christine Chappelle"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2019-01-07T05:52:39Z","doi":"10.2514/6.2019-0531","addedAt":"2026-08-31T06:39:43.694Z","updatedAt":"2026-08-31T06:39:57.841Z"},{"id":"doi:10.1109/itsc48978.2021.9564985","name":"The market potential of Urban Air Mobility in the USA: Analysis based on open-data","source":"crossref","abstract":"","url":"https://doi.org/10.1109/itsc48978.2021.9564985","authors":["Milos Balac"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2021-10-25T15:52:26Z","doi":"10.1109/itsc48978.2021.9564985","addedAt":"2026-08-31T06:39:43.694Z","updatedAt":"2026-08-31T06:39:57.841Z"},{"id":"doi:10.2514/6.2026-2282","name":"A Participatory Design Framework for Accessible Design Features in Urban Air Mobility Aircraft","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2026-2282","authors":["Megan Michaud","Kaura Chahal","Nick Tepylo"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-02-03T07:51:02Z","doi":"10.2514/6.2026-2282","addedAt":"2026-08-31T06:39:43.694Z","updatedAt":"2026-08-31T06:39:57.841Z"},{"id":"doi:10.2514/6.2020-0976","name":"Optimal Placement of Airparks for STOL Urban and Suburban Air Mobility","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2020-0976","authors":["Lansing Wei","Cedric Y. Justin","Dimitri N. Mavris"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2020-01-05T12:55:51Z","doi":"10.2514/6.2020-0976","addedAt":"2026-08-31T06:39:43.694Z","updatedAt":"2026-08-31T06:39:57.841Z"},{"id":"doi:10.3390/engproc2025090069","name":"Comparison of Energy Sources for an Electric Powertrain in a Tilt-Rotor Urban Air Mobility Vehicle","source":"crossref","abstract":"","url":"https://doi.org/10.3390/engproc2025090069","authors":["Jonas Ludowicy","Patrick Ratei","Stefanie de Graaf"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-03-20T05:03:04Z","doi":"10.3390/engproc2025090069","addedAt":"2026-08-31T06:39:43.694Z","updatedAt":"2026-08-31T06:39:57.841Z"},{"id":"doi:10.1007/978-3-031-76597-1_53","name":"Prototyping Urban Environments Towards Extended Reality-Based Human Machine Interfaces for Advanced Air Mobility and Urban Air Mobility","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-031-76597-1_53","authors":["Francesca De Crescenzio","Millene Gomes Araujo"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-02-08T10:29:42Z","doi":"10.1007/978-3-031-76597-1_53","addedAt":"2026-08-31T06:39:43.694Z","updatedAt":"2026-08-31T06:39:57.841Z"},{"id":"doi:10.2514/1.d0327","name":"Conceptual Framework for Dynamic Optimal Airspace Configuration for Urban Air Mobility","source":"crossref","abstract":"In this work, a framework for optimizing the configuration of service areas in airspace into disparate partitions is demonstrated in the context of urban air mobility (UAM) operations. This framework is applied to a conceptual UAM airspace configuration, where a free-flight-based routing service and a corridor-based routing service are dynamically allocated to control different portions of the airspace over time, based on traffic demand. This allocation seeks to determine the least amount of structured coordination (in terms of active flight corridors) needed to safely meet traffic demand. This framework integrates several modeling components, including a novel spatiotemporal graph theoretic UAM traffic model capable of optimizing vehicle trajectories while maintaining multiple flight constraints. Airspace complexity and trajectory efficiency metrics are both implemented to quantify the overall safety and cumulative cost of routing a set of missions according to a given airspace configuration. Finally, spatial airspace partitions are managed using a support vector machine-based algorithm. Metrics are then applied to optimize the airspace configurations, according to desired objectives. Simulated results show that this framework can produce airspace configurations that ensure safety, while providing trajectory efficiency more effectively than purely uniform free-flight or corridor-based flight. This is demonstrated for both low- and high-density traffic scenarios.","url":"https://doi.org/10.2514/1.d0327","authors":["Tristan A. Hearn","Mark T. Kotwicz Herniczek","Brian J. German"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-03-01T08:45:29Z","doi":"10.2514/1.d0327","addedAt":"2026-08-31T06:39:43.694Z","updatedAt":"2026-08-31T06:39:57.841Z"},{"id":"doi:10.2514/6.2022-3318","name":"Pre-departure Flight Planning to Minimize Operating Cost for Urban Air Mobility","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2022-3318","authors":["Hualong Tang","Yu Zhang","Joseph A. Post"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2022-06-21T03:07:36Z","doi":"10.2514/6.2022-3318","addedAt":"2026-08-31T06:39:43.694Z","updatedAt":"2026-08-31T06:39:57.841Z"},{"id":"doi:10.2514/6.2021-3205","name":"Evaluating the Performance and Acoustic Footprint of Aircraft for Regional and Urban Air Mobility","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2021-3205","authors":["Matthew A. Clarke","Juan Alonso"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2021-07-28T19:32:16Z","doi":"10.2514/6.2021-3205","addedAt":"2026-08-31T06:39:43.694Z","updatedAt":"2026-08-31T06:39:57.841Z"},{"id":"doi:10.2514/1.d0427","name":"Willingness to Fly on Urban Air Mobility Aircraft in Canada","source":"crossref","abstract":"Urban air mobility (UAM) is projected to be a major part of the future transportation landscape. It has the potential to reduce trip times and is viewed as a low-emission option. However, little is known about the public’s willingness to fly in these vehicles. In this study, a survey was conducted to assess willingness to fly on an air taxi. The survey of 1022 Canadians found that 39.4% were willing to fly after being shown an image of a specific UAM concept aircraft and given a short description about UAM, with another 29.1% stating that they would consider it. Factors leading to a higher level of support included gender, age, career, previous flight behavior, and support for other novel technologies. These results indicate that there is a desire for short-distance air travel, and the recommended next steps include assessing infrastructure needs and investigating regulatory and certification requirements for the introduction of UAM.","url":"https://doi.org/10.2514/1.d0427","authors":["Nick Tepylo","Jeremy Laliberté"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-09-12T11:47:46Z","doi":"10.2514/1.d0427","addedAt":"2026-08-31T06:39:43.694Z","updatedAt":"2026-08-31T06:39:57.841Z"},{"id":"pmid:37363369","name":"Potential for greenhouse gas (GHG) emissions savings from replacing short motorcycle trips with active travel modes in Vietnam.","source":"pubmed","abstract":"In reducing greenhouse gas (GHG) emissions, there is a recognition triggered by the pandemic of the role that walking and cycling (active travel) can make to substitute motorized travel, particularly on short trips. However, there is a lack of evidence at the micro level on the realistic, empirically derived, potential of these options. Here, we used reliable tracing data to examine the potential of these mitigation options for reducing GHG emissions in Vietnam. Apart from similar categories of travel purposes as in other studies, we decided to categorize \"visit relatives\" and \"eating out\" as two more separate categories of travel purposes in Vietnamese case, which together accounts for nearly 16% of total trips. We discovered that 65% of all motorcycle trips in this case study were less than 3 miles in duration, therefore active travel was able to create a significant impact on GHG emissions from personal travel. Active travel can replace 62% of short motorcycle trips if considering travel patterns and constraints while saving 18% of GHG emissions that would have come from motorized transport. If active travel can further replace all shopping trips normally done by motorcycles, in total being equivalent to 84% of short trips, 22% of GHG emissions from motorcycles can be reduced. It should be noticed that active travels have time cost implications, impacting economy at both household and city levels, but from a comprehensive \"co-benefit\" standpoint, this transformation could act as a catalyst for addressing traffic congestion, air pollution, and even community health and well-being in urban areas.","url":"https://pubmed.ncbi.nlm.nih.gov/37363369/","authors":["Tong YD","Maraseni T","Nguyen PD","An-Vo DA","Mancuso Tradenta J","Tran TAD"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2023 May 8","doi":"10.1007/s11116-023-10394-0","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:43.695Z"},{"id":"pmid:37343888","name":"Telematics data for geospatial and temporal mapping of urban mobility: Fuel consumption, and air pollutant and climate-forcing emissions of passenger cars.","source":"pubmed","abstract":"In this study, we use the approach of geospatial and temporal (GeoST) mapping of urban mobility to evaluate the speed-time-acceleration profile (dynamic status) of passenger cars. We then use a pre-developed model, fleet composition and real-world emission factor (EF) datasets to translate vehicles dynamics status into real-urban fuel consumption (FC) and exhaustive (CO 2 and NO x ) emissions with high spatial (15&#xa0;m) and temporal (2&#xa0;h) resolutions. Road transport in the West Midlands, UK, for 2016 and 2018 is the spatial and temporal scope of this study. Our approach enables the analysis of the influence of factors such as road slope, non-rush/rush hour and weed days/weekends effects on the characteristics of the transport environment. The results show that real-urban NO x EFs reduced by more than 14&#xa0;% for 2016-18. This can be attributed to the increasing contribution of Euro 6 vehicles by 63&#xa0;%, and the increasing contribution of diesel vehicles by 13&#xa0;%. However, the variations in the real-urban FC and CO 2 EFs are less significant (&#xb1;2&#xa0;%). We found that the FC estimated for driving under the NEDC (National European Driving Cycle) is a qualified benchmark for evaluating real-urban FCs. Considering the role of road slope increases the estimated real-urban FC, and NO x, and CO 2 EFs by a weighted average of 4.8&#xa0;%, 3.9&#xa0;%, and 3.0&#xa0;%, respectively. Time of travel (non-rush/rush hour or weed days/weekends) has a profound effect on vehicle fuel consumption and related emissions, with EFs increasing in more free-flowing conditions.","url":"https://pubmed.ncbi.nlm.nih.gov/37343888/","authors":["Ghaffarpasand O","Pope FD"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2023 Oct 10","doi":"10.1016/j.scitotenv.2023.164940","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:43.695Z"},{"id":"pmid:37297626","name":"Impact of Regional Mobility on Air Quality during COVID-19 Lockdown in Mississippi, USA Using Machine Learning.","source":"pubmed","abstract":"Social distancing measures and shelter-in-place orders to limit mobility and transportation were among the strategic measures taken to control the rapid spreading of COVID-19. In major metropolitan areas, there was an estimated decrease of 50 to 90 percent in transit use. The secondary effect of the COVID-19 lockdown was expected to improve air quality, leading to a decrease in respiratory diseases. The present study examines the impact of mobility on air quality during the COVID-19 lockdown in the state of Mississippi (MS), USA. The study region is selected because of its non-metropolitan and non-industrial settings. Concentrations of air pollutants-particulate matter 2.5 (PM2.5), particulate matter 10 (PM10), ozone (O 3 ), nitrogen oxide (NO 2 ), sulfur dioxide (SO 2 ), and carbon monoxide (CO)-were collected from the Environmental Protection Agency, USA from 2011 to 2020. Because of limitations in the data availability, the air quality data of Jackson, MS were assumed to be representative of the entire region of the state. Weather data (temperature, humidity, pressure, precipitation, wind speed, and wind direction) were collected from the National Oceanic and Atmospheric Administration, USA. Traffic-related data (transit) were taken from Google for the year 2020. The statistical and machine learning tools of R Studio were used on the data to study the changes in air quality, if any, during the lockdown period. Weather-normalized machine learning modeling simulating business-as-scenario (BAU) predicted a significant difference in the means of the observed and predicted values for NO 2 , O 3 , and CO ( p &lt; 0.05). Due to the lockdown, the mean concentrations decreased for NO 2 and CO by -4.1 ppb and -0.088 ppm, respectively, while it increased for O 3 by 0.002 ppm. The observed and predicted air quality results agree with the observed decrease in transit by -50.5% as a percentage change of the baseline, and the observed decrease in the prevalence rate of asthma in MS during the lockdown. This study demonstrates the validity and use of simple, easy, and versatile analytical tools to assist policymakers with estimating changes in air quality in situations of a pandemic or natural hazards, and to take measures for mitigating if the deterioration of air quality is detected.","url":"https://pubmed.ncbi.nlm.nih.gov/37297626/","authors":["Tuluri F","Remata R","Walters WL","Tchounwou PB"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2023 May 31","doi":"10.3390/ijerph20116022","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:43.695Z"},{"id":"pmid:37262367","name":"Personal Mobility Choices and Disparities in Carbon Emissions.","source":"pubmed","abstract":"The promotion of sustainable mobility choices is a crucial element of transport decarbonization. It requires a fundamental understanding of the choices available to urban dwellers and of the equity and justice implications of green mobility solutions. In this study, we quantified personal mobility-related greenhouse gas (GHG) emissions in the Greater Toronto and Hamilton Area (GTHA) and their associations with various land use, built environment, and socioeconomic factors. Our study captured personal, household, and neighborhood-level characteristics that are related to high emissions and disparities in emissions across the study region. We observed that the top 30% of emitters generated 70% of all transportation GHG emissions. Household income, family size, and vehicle ownership were associated with increased mobility emissions, while increased population density was associated with lower emissions. The percentage of visible minorities in a neighborhood was associated with lower emissions, but this effect was small. We further contrasted the spatial distribution of traffic-related air pollution with mobility GHG emissions. The results suggest that individuals who emit less GHG live in areas with higher air pollution. A computer vision-based model was used to predict GHG emissions from aerial images of neighborhoods, demonstrating that areas with high land use mixture were linked to a lower generation of mobility-based GHG emissions.","url":"https://pubmed.ncbi.nlm.nih.gov/37262367/","authors":["Wang A","Weichenthal S","Lloyd M","Hong K","Saxe S","Hatzopoulou M"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2023 Jun 13","doi":"10.1021/acs.est.2c06993","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:43.695Z"},{"id":"pmid:37236592","name":"Origin of non-exhaust PM in cities by individual analysis of particles collected by honey bees (Apis mellifera).","source":"pubmed","abstract":"Urban areas present multiple challenges to scientists interested in unraveling the source, transport, and fate of airborne particulate matter (PM). Airborne PM consists of a heterogeneous mixture of particles with different sizes, morphologies, and chemical compositions. However, standard air quality stations only detect the mass concentration of PM mixtures with aerodynamic diameters &#x2264;10&#xa0;&#x3bc;m (PM 10 ) and/or&#xa0;&#x2264;&#xa0;2.5&#xa0;&#x3bc;m (PM 2.5 ). During honey bee foraging flights, airborne PM up to 10&#xa0;&#x3bc;m in size attaches to their bodies, making them suitable for collecting spatiotemporal data on airborne PM. The individual particulate chemistry of this PM can be assessed using scanning electron microscopy coupled with energy-dispersive X-ray spectroscopy on a sub-micrometer scale, allowing accurate identification and classification of the particles. Herein, we analyzed the PM fractions of 10-2.5&#xa0;&#x3bc;m, 2.5-1&#xa0;&#x3bc;m, and below 1&#xa0;&#x3bc;m in average geometric diameter collected by bees from hives located in the city of Milan, Italy. Bees showed contamination by natural dust, originating from soil erosion and rock outcropping in the foraging area, and particles with recurrent heavy metal content, most likely attributed to vehicular braking systems and possibly tires (non-exhaust PM). Notably, approximately 80% of non-exhaust PM was &#x2264;1&#xa0;&#x3bc;m in size. This study provides a possible alternative strategy to apportion the finer fraction of PM in urban areas and determine citizens' exposure. Our findings may also prompt decision-makers to issue policy addressal for non-exhaust pollution, especially for the ongoing restructuring of European regulations on mobility and the shift toward electric vehicles whose contribution to PM pollution is debated.","url":"https://pubmed.ncbi.nlm.nih.gov/37236592/","authors":["Pellecchia M","Papa G","Barbato M","Capitani G","Negri I"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2023 Aug 15","doi":"10.1016/j.envpol.2023.121885","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:43.695Z"},{"id":"pmid:37208713","name":"Long-term exposure and health risk assessment from air pollution: impact of regional scale mobility.","source":"pubmed","abstract":"The negative effect of air pollution on human health is widely reported in recent literature. It typically involves urbanized areas where the population is concentrated and where most primary air pollutants are produced. A comprehensive health risk assessment is therefore of strategic importance for health authorities.","url":"https://pubmed.ncbi.nlm.nih.gov/37208713/","authors":["Gilardi L","Marconcini M","Metz-Marconcini A","Esch T","Erbertseder T"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2023 May 19","doi":"10.1186/s12942-023-00333-8","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:43.695Z"},{"id":"pmid:37187677","name":"Assessing socioeconomic bias of exposure to urban air pollution: an autopsy-based study in São Paulo, Brazil.","source":"pubmed","abstract":"The characterisation of individual exposure to air pollution in urban scenarios is a challenge in environmental epidemiological studies. We investigated if the city's pollution monitoring stations over or underestimate the exposure of individuals depending on their socioeconomic conditions and daily commuting times.","url":"https://pubmed.ncbi.nlm.nih.gov/37187677/","authors":["da Motta Singer J","Saldiva de André CD","Afonso de André P","Monteiro Rocha FM","Waked D","Vaz AM","Gois GF","de Fátima Andrade M","Veras MM","Nascimento Saldiva PH","Barrozo LV"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2023 Jun","doi":"10.1016/j.lana.2023.100500","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:43.695Z"},{"id":"pmid:37019297","name":"Machine learning model to predict vehicle electrification impacts on urban air quality and related human health effects.","source":"pubmed","abstract":"Air pollution is a prevailing environmental problem in cities worldwide. The future vehicle electrification (VE), which in Europe will be importantly fostered by the ban of thermal engines from 2035, is expected to have an important effect on urban air quality. Machine learning models represent an optimal tool for predicting changes in air pollutants concentrations in the context of future VE. For the city of Valencia (Spain), a XGBoost (eXtreme Gradient Boosting package) model was used in combination with SHAP (SHapley Additive exPlanations) analysis, both to investigate the importance of different factors explaining air pollution concentrations and predicting the effect of different levels of VE. The model was trained with 5 years of data including the COVID-19 lockdown period in 2020, in which mobility was strongly reduced resulting in unprecedent changes in air pollution concentrations. The interannual meteorological variability of 10 years was also considered in the analyses. For a 70% VE, the model predicted: 1) improvements in nitrogen dioxide pollution (-34% to -55% change in annual mean concentrations, for the different air quality stations), 2) a very limited effect on particulate matter concentrations (-1 to -4% change in annual means of PM 2.5 and PM 10 ), 3) heterogeneous responses in ground-level ozone concentrations (-2% to +12% change in the annual means of the daily maximum 8-h average concentrations). Even at a high VE increase of 70%, the 2021 World Health Organization Air Quality Guidelines will be exceeded for all pollutants in some stations. VE has a potentially important impact in terms of reducing NO 2 -associated premature mortality, but complementary strategies for reducing traffic and controlling all different air pollution sources should also be implemented to protect human health.","url":"https://pubmed.ncbi.nlm.nih.gov/37019297/","authors":["Calatayud V","Diéguez JJ","Agathokleous E","Sicard P"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2023 Jul 1","doi":"10.1016/j.envres.2023.115835","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:43.695Z"},{"id":"pmid:37016698","name":"Impact of Covid-19 lockdown regulations on PM(2.5) and trace gases (NO(2), SO(2), CH(4), HCHO, C(2)H(2)O(2) and O(3)) over Lahore, Pakistan.","source":"pubmed","abstract":"The COVID-19 pandemic altered the human mobility and economic activities immensely, as authorities enforced unprecedented lock down regulations. In order to reduce the spread of COVID-19, a complete lockdown was observed between 24 March - 31 May 2020 in Pakistan. This paper aims at investigating the PM 2.5 , AOD and column amounts of six trace gases (NO 2 , SO 2 , CH 4 , HCHO, C 2 H 2 O 2 , and O 3 ) by comparing periods of reduced emissions during lockdown periods with reference periods without emission reductions over Lahore, Pakistan. HYSPLIT cluster trajectory analyses were performed, which confirmed similar meteorological flow conditions during lockdown and reference periods. This provides confidence that any change in air quality conditions would be due to changes in human activities and associated emissions. The results show about 38% reduction in ambient surface PM 2.5 levels during the lockdown period. This change also positively correlated with MODIS DB and AERONET AOD data with a decrease of AOD by 42% and 35%, respectively. Reductions for tropospheric columns of NO 2 and SO 2 were about 20% and 50%, respectively during a semi lockdown period, while no reduction in the CH 4, C 2 H 2 O 2 , HCHO and O 3 levels occurred. During the lockdown period NO 2, O 3 and CH 4 were about 50%, 45% and 25% lower, respectively, but no reduction in SO 2 , C 2 H 2 O 2 and HCHO levels were noticed compared to the reference lockdown period for Lahore. HYSPLIT cluster trajectory analysis revealed the greatest impact on Lahore air quality through local emissions and regional transport from the east (agricultural burning and industry).","url":"https://pubmed.ncbi.nlm.nih.gov/37016698/","authors":["Karim I","Rappenglück B"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2023 Jun 15","doi":"10.1016/j.atmosenv.2023.119746","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:43.695Z"},{"id":"pmid:37015452","name":"Multilevel Visual Analysis of Aggregate Geo-Networks.","source":"pubmed","abstract":"Numerous patterns found in urban phenomena, such as air pollution and human mobility, can be characterized as many directed geospatial networks (geo-networks) that represent spreading processes in urban space. These geo-networks can be analyzed from multiple levels, ranging from the macro-level of summarizing all geo-networks, meso-level of comparing or summarizing parts of geo-networks, and micro-level of inspecting individual geo-networks. Most of the existing visualizations cannot support multilevel analysis well. These techniques work by: 1) showing geo-networks separately with multiple maps leads to heavy context switching costs between different maps; 2) summarizing all geo-networks into a single network can lead to the loss of individual information; 3) drawing all geo-networks onto one map might suffer from the visual scalability issue in distinguishing individual geo-networks. In this study, we propose GeoNetverse, a novel visualization technique for analyzing aggregate geo-networks from multiple levels. Inspired by metro maps, GeoNetverse balances the overview and details of the geo-networks by placing the edges shared between geo-networks in a stacked manner. To enhance the visual scalability, GeoNetverse incorporates a level-of-detail rendering, a progressive crossing minimization, and a coloring technique. A set of evaluations was conducted to evaluate GeoNetverse from multiple perspectives.","url":"https://pubmed.ncbi.nlm.nih.gov/37015452/","authors":["Deng Z","Chen S","Xie X","Sun G","Xu M","Weng D","Wu Y"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2024 Jul","doi":"10.1109/TVCG.2022.3229953","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:43.695Z"},{"id":"pmid:36938420","name":"Towards sustainable green mobility in the future of Saudi Arabia cities: Implication for reducing carbon emissions and increasing renewable energy capacity.","source":"pubmed","abstract":"Worldwide, the urban population is increasing rapidly at 1.84%. Green Mobility emerged as a practical approach for promoting environmentally friendly and sustainable transportation in cities. This study is carried out with the main aim of finding the advantages and viability of Green Mobility in the future cities of Saudi Arabia. The quantitative research methodology is used to obtain credible data on the benefits of implementing green mobility through the perspective of government officials dealing with environmental issues. A validated questionnaire was administered to respondents working in the environmental protection sector. All analysis was carried out by using SPSS version 20. Both descriptive and inferential statistics were calculated. The inferential statistics were obtained using the regression and Pearson correlation tests. Findings have shown a significant connection between Green Mobility and its environmental benefits that enhance the quality of life in Saudi Arabia. Green Mobility is associated with the incremental investment, time-saving, reduction of traffic congestion, climate protection, improving health benefits, air quality betterment and diversification of energy supply. Overall, this study's findings have emphasized the need for an integrated and clear policy designed within a national framework.","url":"https://pubmed.ncbi.nlm.nih.gov/36938420/","authors":["Almatar KM"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2023 Mar","doi":"10.1016/j.heliyon.2023.e13977","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:43.695Z"},{"id":"pmid:36936841","name":"A review on arsenic in the environment: contamination, mobility, sources, and exposure.","source":"pubmed","abstract":"Arsenic is one of the regulated hazard materials in the environment and a persistent pollutant creating environmental, agricultural and health issues and posing a serious risk to humans. In the present review, sources and mobility of As in various compartments of the environment (air, water, soil and sediment) around the World are comprehensively investigated, along with measures of health hazards. Multiple atomic spectrometric approaches have been applied for total and speciation analysis of As chemical species. The LoD values are basically under 1 &#x3bc;g L -1 , which is sufficient for the analysis of As or its chemical species in environmental samples. Both natural and anthropogenic sources contributed to As in air, while fine particulate matter tends to have higher concentrations of arsenic and results in high concentrations of As up to a maximum of 1660 ng m -3 in urban areas. Sources for As in natural waters (as dissolved or in particulate form) can be attributed to natural deposits, agricultural and industrial effluents, for which the maximum concentration of 2000 &#x3bc;g L -1 was found in groundwater. Sources for As in soil can be the initial contents, fossil fuel burning products, industrial effluents, pesticides, and so on, with a maximum reported concentration up to 4600 mg kg -1 . Sources for As in sediments can be attributed to their reservoirs, with a maximum reported concentration up to 2500 mg kg -1 . It is notable that some reported concentrations of As in the environment are several times higher than permissible limits. However, many aspects of arsenic environmental chemistry including contamination of the environment, quantification, mobility, removal and health hazards are still unclear.","url":"https://pubmed.ncbi.nlm.nih.gov/36936841/","authors":["Patel KS","Pandey PK","Martín-Ramos P","Corns WT","Varol S","Bhattacharya P","Zhu Y"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2023 Mar 14","doi":"10.1039/d3ra00789h","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:43.695Z"},{"id":"pmid:36924708","name":"Ambient air pollution and the health-related quality of life of older adults: Evidence from Shandong China.","source":"pubmed","abstract":"Ambient air pollution is a major public health concern impacting all aspects of human health. There is a lack of studies on the impact of ambient air pollution on health-related quality of life (HRQoL) of older Chinese adults. Our study answers two questions: How concentrations of ambient air pollutants are associated with HRQoL among older adults in China and, second, what are the possible mechanisms through which ambient air pollution affects HRQoL. From the 2018 National Health Service Survey, we sampled 5717 aged 65 years or older residents for the eastern province of Shandong, China. Data on individual exposures to PM 2.5 and PM 10 (particulate matter with diameter less than or equal to 2.5&#xa0;&#x3bc;m and 10&#xa0;&#x3bc;m) and sulfur dioxide (SO 2 ) were collected from the ChinaHighAirPollutants (CHAP) datasets. Mixed-effects Tobit regression models and mixed-effects ordered Probit regression models were employed to examine the associations of long-term exposure to ambient air pollution with the European Quality of Life 5 Dimensions 3 Level Version (EQ-5D-3L) scale comprising mobility, self-care, usual activities, pain/discomfort, and anxiety/depression. Socioeconomic, demographic and behavioral factors relating to HRQoL were also examined. The results show that for each 1&#xa0;&#x3bc;g/m 3 increase, EQ-5D-3L scores fell 0.002 for PM 2.5 ; 0.001 for PM 10 and 0.002 for SO 2 . Long term exposure to PM 2.5 , PM 10 and SO 2 were also associated with increased prevalence of pain/discomfort and anxiety/depression. The reduced HRQoL effects of ambient air pollution were exacerbated by higher socioeconomic status (affluent, urban and higher level of education). Our findings suggested that HRQoL of older Chinese adults was not only associated with demographic, socioeconomic, and health-related factors, but also negatively correlated with air pollution, especially through increased pain/discomfort and anxiety/depression. The paper proposes policy recommendations.","url":"https://pubmed.ncbi.nlm.nih.gov/36924708/","authors":["Tan J","Chen N","Bai J","Yan P","Ma X","Ren M","Maitland E","Nicholas S","Cheng W","Leng X","Chen C","Wang J"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2023 Jun 15","doi":"10.1016/j.jenvman.2023.117619","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:43.695Z"},{"id":"pmid:36772385","name":"Communications and High-Precision Positioning (CHP2): Hardware Architecture, Implementation, and Validation.","source":"pubmed","abstract":"Spectral congestion and modern consumer applications motivate radio technologies that efficiently cooperate with nearby users and provide several services simultaneously. We designed and implemented a joint positioning-communications system that simultaneously enables network communications, timing synchronization, and localization to a variety of airborne and ground-based platforms. This Communications and High-Precision Positioning (CHP2) system simultaneously performs communications and precise ranging (&lt;10 cm) with a narrow band waveform (10 MHz) at a carrier frequency of 915 MHz (US ISM) or 783 MHz (EU Licensed). The ranging capability may be extended to estimate the relative position and orientation by leveraging the spatial diversity of the multiple-input, multiple-output (MIMO) platforms. CHP2 also digitally synchronizes distributed platforms with sub-nanosecond precision without support from external systems (GNSS, GPS, etc.). This performance is enabled by leveraging precise time-of-arrival (ToA) estimation techniques, a network synchronization algorithm, and the intrinsic cooperation in the joint processing chain that executes these tasks simultaneously. In this manuscript, we describe the CHP2 system architecture, hardware implementation, and in-lab and over-the-air experimental validation.","url":"https://pubmed.ncbi.nlm.nih.gov/36772385/","authors":["Yu H","Herschfelt A","Wu S","Srinivas S","Li Y","Sciammetta N","Smith L","Rueger K","Lee H","Chakrabarti C","Bliss DW"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2023 Jan 25","doi":"10.3390/s23031343","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:43.695Z"},{"id":"pmid:36765331","name":"Cyclists' exposure to air pollution, noise, and greenery: a population-level spatial analysis approach.","source":"pubmed","abstract":"Urban travel exposes people to a range of environmental qualities with significant health and wellbeing impacts. Nevertheless, the understanding of travel-related environmental exposure has remained limited. Here, we present a novel approach for population-level assessment of multiple environmental exposure for active travel. It enables analyses of (1) urban scale exposure variation, (2) alternative routes' potential to improve exposure levels per exposure type, and (3) by combining multiple exposures. We demonstrate the approach's feasibility by analysing cyclists' air pollution, noise, and greenery exposure in Helsinki, Finland. We apply an in-house developed route-planning and exposure assessment software and integrate to the analysis 3.1 million cycling trips from the local bike-sharing system. We show that especially noise exposure from cycling exceeds healthy thresholds, but that cyclists can influence their exposure by route choice. The proposed approach enables planners and individual citizens to identify (un)healthy travel environments from the exposure perspective, and to compare areas in respect to how well their environmental quality supports active travel. Transferable open tools and data further support the implementation of the approach in other cities.","url":"https://pubmed.ncbi.nlm.nih.gov/36765331/","authors":["Willberg E","Poom A","Helle J","Toivonen T"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2023 Feb 10","doi":"10.1186/s12942-023-00326-7","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:43.695Z"},{"id":"pmid:36735103","name":"Modeling non-linear changes in an urban setting: From pro-environmental affordances to responses in behavior, emissions and air quality.","source":"pubmed","abstract":"Interactions in urban environment were investigated using a multidisciplinary model combination, with focus on traffic, emissions and atmospheric particles. An agent-based model was applied to simulate the evolution of unsustainable human behavior (usage of combustion-based personal vehicles) as a function of pro-environmental affordances (opportunities for sustainable choices). Scenarios regarding changes in multi-pollutant emissions were derived, and the non-linear implications to atmospheric particles were simulated with a box model. Based on the results for a Nordic city, increasing pro-environmental affordances by 10%, 50% or 100% leads to emission reductions of 15%, 30% and 40% within 2 years. To reduce ambient particle mass, emissions&#xa0;from traffic should decrease by &gt;&#xa0;15%, while the lung deposited surface area decreases in all scenarios ([Formula: see text], [Formula: see text] and [Formula: see text], correspondingly). The presented case is representative of one season, but the approach is generic and applicable to simulating a full year, given meteorological and pollution data that reflects seasonal variation. This work emphasizes the necessity to consider feedback mechanisms and non-linearities in both human behavior and atmospheric processes, when predicting the outcomes of changes in an urban system.","url":"https://pubmed.ncbi.nlm.nih.gov/36735103/","authors":["Hulkkonen M","Kaaronen RO","Kokkola H","Mielonen T","Clusius P","Xavier C","Hellén H","Niemi JV","Malila J"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2023 May","doi":"10.1007/s13280-022-01827-8","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:43.695Z"},{"id":"pmid:36709304","name":"Comparison of static and dynamic exposures to air pollution, noise, and greenness among seniors living in compact-city environments.","source":"pubmed","abstract":"GPS technology and tracking study designs have gained popularity as a tool to go beyond the limitations of static exposure assessments based on the subject's residence. These dynamic exposure assessment methods offer high potential upside in terms of accuracy but also disadvantages in terms of cost, sample sizes, and types of data generated. Because of that, with our study we aim to understand in which cases researchers need to use GPS-based methods to guarantee the necessary accuracy in exposure assessment. With a sample of 113 seniors living in Barcelona (Spain) we compare their estimated daily exposures to air pollution (PM2.5, PM10, NO2), noise (dB), and greenness (NDVI) using static and dynamic exposure assessment techniques. Results indicate that significant differences between static and dynamic exposure assessments are only present in selected exposures, and would thus suggest that static assessments using the place of residence would provide accurate-enough values across a number of exposures in the case of seniors. Our models for Barcelona's seniors suggest that dynamic exposure would only be required in the case of exposure to smaller particulate matter (PM2.5) and exposure to noise levels. The study signals to the need to consider both the mobility patterns and the built environment context when deciding between static or dynamic measures of exposure assessment.","url":"https://pubmed.ncbi.nlm.nih.gov/36709304/","authors":["Marquet O","Tello-Barsocchini J","Couto-Trigo D","Gómez-Varo I","Maciejewska M"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2023 Jan 28","doi":"10.1186/s12942-023-00325-8","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:43.695Z"},{"id":"pmid:36682263","name":"Examining the association between the built environment and active travel using GPS data: A study of a large residential area (Daju) in Shanghai.","source":"pubmed","abstract":"Automobile dependence and physical inactivity have become common health challenges for residents in large suburban residential areas. Limited literature has examined the associations between the built environment and active travel in such residential areas and the differences in these associations among residents from different neighborhoods. To avoid inaccurate results potentially derived from residence-based measures, we adopt a mobility-based approach for environmental exposure assessment. Using GPS data from 530 trips made by 98 participants in a large residential area in Shanghai, we investigate the relationships between neighborhood types, pollution perceptions, built environment features and active travel. The results indicate that residents in affordable and relocation housing make fewer active trips than those in market-rate housing, while the built environment seems to mitigate this difference. Sports facilities promote active travel while commercial facilities and road intersections discourage it. We identify significant interactions between the percentage of green space and neighborhood type, as well as floor area ratio and air pollution perception. Interventions promoting active travel include active-travel-friendly design for commercial facilities and road intersections, the provision of more sports facilities, a careful increase in floor area ratio, and the provision of more green space that is attractive to residents from different neighborhoods.","url":"https://pubmed.ncbi.nlm.nih.gov/36682263/","authors":["Zhang S","Li J","Wang L","Kwan MP","Chai Y","Du Y","Zhou K","Gu H","Sun W"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2023 Jan","doi":"10.1016/j.healthplace.2023.102971","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:43.695Z"},{"id":"pmid:36674138","name":"Comparing Mobility-Based PM(2.5) Concentrations and Activity Satisfaction in Beijing between 2012 and 2017.","source":"pubmed","abstract":"Although the negative effect of air pollution on life satisfaction has been examined in many studies, comparative analyses of mobility-based exposures to air pollution and momentary wellbeing have been rare to date, despite the fact that they are essential to improve wellbeing. Drawing on individuals' space-time trajectories of two surveys conducted in 2012 and 2017 in Beijing, we investigate the temporal variations in activity satisfaction and mobility-based air pollution from monitoring stations and real-time air pollutant sensors, respectively. Furthermore, we explore how mobility-based air pollution dynamically influences activity satisfaction. The results show that air quality in Beijing improved from 2012 to 2017, and activity satisfaction increased as well. The negative relationship between them is more significant on workdays but insignificant on weekends. Moreover, real-time air pollution data show higher accuracy than monitor-based data, which suggests that future studies should pay more attention to real-time air pollution assessments.","url":"https://pubmed.ncbi.nlm.nih.gov/36674138/","authors":["Rao J","Ma J","Chai Y"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2023 Jan 12","doi":"10.3390/ijerph20021386","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:43.695Z"},{"id":"pmid:36657283","name":"Air pollution and the onset of balance problems: The Canadian longitudinal study on aging.","source":"pubmed","abstract":"To understand the relationship between ambient air pollution and the onset of balance problems.","url":"https://pubmed.ncbi.nlm.nih.gov/36657283/","authors":["Grant A","Kergoat MJ","Freeman EE"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2023 Mar","doi":"10.1016/j.ijheh.2023.114114","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:43.695Z"},{"id":"pmid:36627949","name":"Impact of mobility restrictions on NO(2) concentrations in key Latin American cities during the first wave of the COVID-19 pandemic.","source":"pubmed","abstract":"Between March and June 2020, activity in the major cities of Latin America declined due to containment efforts implemented by local governments to avoid the rapid spread of COVID-19. Our study compared 2020 with the previous year and demonstrated a considerable drop in tropospheric NO 2 levels obtained by the SENTINEL 5P satellite in major Latin American cities. Lima (47.5%), Santiago (36.1%), S&#xe3;o Paulo (27%), Rio de Janeiro (23%), Quito (18.6%), Bogota (17.5%), Buenos Aires (16.6%), Guayaquil (15.3%), Medellin (14.2%), La Paz (9.5%), Belo Horizonte (7.8%), Mexico (7.6%) and Brasilia (5.9%) registered statistically significant decreases in NO 2 concentrations during the study period. In addition, we analyzed mobility data from Google and Apple reports as well as meteorological information from atmospheric reanalysis data along with satellite fields between 2011 and 2020, and performed a refined multivariate analysis (non-negative matrix approximation) to show that this decrease was associated with a reduction in population mobility rather than meteorological factors. Our findings corroborate the argument that confinement scenarios may indicate how air pollutant concentrations can be effectively reduced and managed.","url":"https://pubmed.ncbi.nlm.nih.gov/36627949/","authors":["Volke MI","Abarca-Del-Rio R","Ulloa-Tesser C"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2023 Mar","doi":"10.1016/j.uclim.2023.101412","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:43.695Z"},{"id":"pmid:36613190","name":"Air Pollution and Migration Decision of Migrants in Low-Carbon Society.","source":"pubmed","abstract":"The influence of environmental quality on the quality of urban life and on migration decisions is an important research issue in urban economics and environmental economics. Using the 2012-2014 China Labor Dynamics Survey data (CLDS), this paper uses a conditional logit model (CLM) and Instrumental Variable (IV) estimation to examine the impact of air pollution on the migrant migration decision. We find that air pollution significantly negatively impacts the migration decisions of migrants. Specifically, if the PM2.5 level of a city increases by 10 &#x3bc;g/m 3 , the probability of migrants flowing into the city will be significantly reduced by 21.2%. It shows that migrants choose to flow into cities with better spatial quality to reduce the risk of exposure to air pollution. After controlling for the characteristics of the outflow and the reasons for the flow, the impact of air pollution on migrants' migration decisions remains robust. Heterogeneity analysis shows that middle-aged, male, married, and highly educated migrants are more sensitive to air pollution. This paper enriches the research on air pollution and labor mobility at the micro level and provides empirical evidence for policymaking related to environmental governance and labor mobility in a low-carbon society.","url":"https://pubmed.ncbi.nlm.nih.gov/36613190/","authors":["Shen F","Wang Q","Zou J","Yan H","Wang B"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2023 Jan 3","doi":"10.3390/ijerph20010870","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:43.695Z"},{"id":"pmid:36613045","name":"Determination of Water-Soluble Trace Elements in the PM(10) and PM(2.5) of Palermo Town (Italy).","source":"pubmed","abstract":"This study contributes to the current knowledge on the solubility of trace elements in the atmospheric particulate matter of the urban area of Palermo. Daily sample filters of PM 10 and PM 2.5 were collected in monitoring stations within and outside the urban area, characterized by variable traffic density. The bulk of compositions in PM 10 and PM 2.5 were determined by ICP-MS. The water-soluble trace elements (WSTE) and major ion components of particulate matter were determined by ICP-MS and ion chromatography, respectively. A significant difference in the metals content was observed between the samples taken in urban areas and those from suburban areas. The calculated enrichment factor highlights the high values for Cu, Mo, Sb, V, and Zn, confirming the contribution of human activities. The leaching test was applied to PM 10 and PM 2.5 filters and showed different behaviors and transport of metals and metalloids. The calculated leaching coefficient highlights the metals typically produced by anthropic activities, compared to those of geogenic origin, are much more soluble in water and have greater mobility. The factor analysis was used to identify the sources of water-soluble ions. The main sources are anthropic, geogenic, and sea spray. The final objective of this study is to obtain, with the aid of leaching experiments on PM 2.5 and PM 10 filter samples, information about the bioavailability and mobility of the different metals and metalloids that could be used as the scientific basis for public health intervention and to raise the prevention and control of heavy metal pollution in the urban environment, especially in densely populated areas.","url":"https://pubmed.ncbi.nlm.nih.gov/36613045/","authors":["Varrica D","Alaimo MG"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2022 Dec 30","doi":"10.3390/ijerph20010724","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:43.695Z"},{"id":"pmid:36580733","name":"Air quality management strategies in Africa: A scoping review of the content, context, co-benefits and unintended consequences.","source":"pubmed","abstract":"One of the major consequences of Africa's rapid urbanisation is the worsening air pollution, especially in urban centres. However, existing societal challenges such as recovery from the COVID-19 pandemic, poverty, intensifying effects of climate change are making prioritisation of addressing air pollution harder. We undertook a scoping review of strategies developed and/or implemented in Africa to provide a repository to stakeholders as a reference that could be applied for various local contexts. The review includes strategies assessed for effectiveness in improving air quality and/or health outcomes, co-benefits of the strategies, potential collaborators, and pitfalls. An international multidisciplinary team convened to develop well-considered research themes and scope from a contextual lens relevant to the African continent. From the initial 18,684 search returns, additional 43 returns through reference chaining, contacting topic experts and policy makers, 65 studies and reports were included for final analysis. Three main strategy categories obtained from the review included technology (75%), policy (20%) and education/behavioural change (5%). Most strategies (83%) predominantly focused on household air pollution compared to outdoor air pollution (17%) yet the latter is increasing due to urbanisation. Mobility strategies were only 6% compared to household energy strategies (88%) yet motorised mobility has rapidly increased over recent decades. A cost effective way to tackle air pollution in African cities given the competing priorities could be by leveraging and adopting implemented strategies, collaborating with actors involved whilst considering local contextual factors. Lessons and best practices from early adopters/implementers can go a long way in identifying opportunities and mitigating potential barriers related to the air quality management strategies hence saving time on trying to \"reinvent the wheel\" and prevent pitfalls. We suggest collaboration of various stakeholders, such as policy makers, academia, businesses and communities in order to formulate strategies that are suitable and practical to various local contexts.","url":"https://pubmed.ncbi.nlm.nih.gov/36580733/","authors":["Okello G","Nantanda R","Awokola B","Thondoo M","Okure D","Tatah L","Bainomugisha E","Oni T"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2023 Jan","doi":"10.1016/j.envint.2022.107709","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:43.695Z"},{"id":"pmid:36573137","name":"Role of vehicular emissions in urban air quality: The COVID-19 lockdown experiment.","source":"pubmed","abstract":"While the decrease in air pollutant concentration during the COVID-19 lockdown is well documented, neighborhood-scale and multi-city data have not yet been explored systematically to derive a generalizable quantitative link to the drop in vehicular traffic. To bridge this gap, high spatial resolution air quality and georeferenced traffic datasets were compiled for the city of London during three weeks with significant differences in traffic. The London analysis was then augmented with a meta -analysis of lower-resolution studies from 12 other cities. The results confirm that the improvement in air quality can be partially attributed to the drop of traffic density, and more importantly quantifies the elasticity (0.71 for NO 2 &amp; 0.56 for PM 2.5 ) of their linkages. The findings can also inform on the future impacts of the ongoing shift to electric vehicles and micro-mobility on urban air quality.","url":"https://pubmed.ncbi.nlm.nih.gov/36573137/","authors":["Llaguno-Munitxa M","Bou-Zeid E"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2023 Feb","doi":"10.1016/j.trd.2022.103580","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:43.695Z"},{"id":"pmid:36532156","name":"Modeling the potential impacts of automated vehicles on pollutant emissions under different scenarios of a test track.","source":"pubmed","abstract":"One of the significant sources of air pollution and greenhouse gas emissions is the road transportation sector. These emissions are worsened by driving behaviors and network conditions. It is common knowledge that experienced and inexperienced drivers behave differently when operating vehicles. Given the same vehicle in a different timeframe, the drivers' reactions to similar situations vary, which has a significant influence on the emissions and fuel consumption as their use of acceleration and speed differ. Because the driving patterns of automated vehicles are programmable and provide a platform for smooth driving situations, it is predicted that deploying them might potentially reduce fuel consumption, particularly in urban areas with given traffic situations. This study's goal is to examine how different degrees of automated vehicles behave when it comes to emissions and how accelerations affect that behavior. Furthermore, the total aggregated emissions on the synthesized urban network are evaluated and compared to legacy vehicles. The emission measuring model is based on the Handbook Emission Factors for Road Transport (HBEFA)3 and is utilized with the Simulation of Urban Mobility (SUMO) microscopic simulation software. The results demonstrate that acceleration value is strongly correlated with individual vehicle emissions. Although the ability of automated vehicles (AVs) to swiftly achieve higher acceleration values has an adverse effect on emissions reduction, it was compensated by the rate of accelerations, which decreases as the automation level increases. According to the simulation results, automated vehicles can reduce carbon monoxide (CO) emissions by 38.56%, carbon dioxide (CO 2 ) emissions by 17.09%, hydrocarbons (HC) emissions by 36.3%, particulate matter (PM x ) emissions by 28.12%, nitrogen oxides (NO x ) emissions by 19.78% in the most optimistic scenario (that is, when all vehicles are replaced by the upper bound automated vehicles) in the network level.","url":"https://pubmed.ncbi.nlm.nih.gov/36532156/","authors":["Biramo ZB","Mekonnen AA"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2022","doi":"10.1186/s40068-022-00276-2","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:43.695Z"},{"id":"pmid:36512157","name":"Effectiveness of three exercise programs and intensive follow-up in improving quality of life, pain, and lymphedema among breast cancer survivors: a randomized, controlled 6-month trial.","source":"pubmed","abstract":"Postoperative complications of breast cancer (BC) seriously affect the quality of life (QOL) of survivors. Physical activity is related to prevention of complications and improvement of QOL. Follow-up can keep patients motivated to exercise. This study aimed to (1) compare the effect of three exercise programs on lymphedema, pain, and QOL in BC patients and (2) explore the effect of intensive follow-up on the outcomes of exercise programs.","url":"https://pubmed.ncbi.nlm.nih.gov/36512157/","authors":["Lin Y","Wu C","He C","Yan J","Chen Y","Gao L","Liu R","Cao B"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2022 Dec 13","doi":"10.1007/s00520-022-07494-5","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:43.695Z"},{"id":"pmid:36511199","name":"Urban mobility and health: a multicentric survey conducted in some Italian cities.","source":"pubmed","abstract":"Urban and transport planning, environmental exposures, physical activity and human health are strictly linked. The aim of this study was to analyze the determinants of sustainable and active mobility in 4 Italian provinces.","url":"https://pubmed.ncbi.nlm.nih.gov/36511199/","authors":["Giannico OV","Baldacci S","Angelozzi A","Caminada S","Noberasco G","Oradini-Alacreu A","Pizzo S","Schenone S","Scarpitta F"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2022 Oct-Dec","doi":"10.4415/ANN_22_04_08","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:43.695Z"},{"id":"pmid:36501936","name":"Machine Learning-Based Air-to-Ground Channel Model Selection Method for UAV Communications Using Digital Surface Model Data.","source":"pubmed","abstract":"This paper proposes an automatic air-to-ground (A2G) channel model selection method based on machine learning (ML) using digital surface model (DSM) terrain data. In order to verify whether a communication network for a new non-terrestrial user service such as Urban Air Mobility (UAM) satisfies the required performance, it is necessary to perform a simulation reflecting the characteristics of the corresponding terrain environments as accurately as possible. For this simulation, A2G channel models corresponding to various terrain environments and a method of automatically classifying the terrain type of the simulation area must be provided. Many A2G channel models based on actual measurement results exist, but the practical automatic topography classification method still needs to be developed. This paper proposes the first practical automatic topography classification method using a two-step neural network-based classifier utilizing various geographic feature data as input. Since there is no open topography dataset to evaluate the accuracy of the proposed method, we built a new dataset for five topography classes that reflect the characteristics of Korea's topography, which is also a contribution of our study. The simulation results using the new data set show that the proposed ML-based method could increase the selection accuracy compared to the technique for direct classification by humans or the existing cross-correlation-based classification method. Since the proposed method utilizes the DSM data, open to the public, it can easily reflect the different terrain characteristics of each country. Therefore, the proposed method can be effectively used in the realistic performance evaluation of new non-terrestrial communication networks utilizing vast airspace such as UAM or 6G mobile communications.","url":"https://pubmed.ncbi.nlm.nih.gov/36501936/","authors":["Kang YE","Jung YH"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2022 Nov 27","doi":"10.3390/s22239234","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:43.695Z"},{"id":"pmid:36477848","name":"Military Medical Role in Civilian Disaster.","source":"pubmed","abstract":"US military medical units have responded to natural disasters (eg, hurricanes, earthquakes), relieved overwhelmed civilian health care systems (eg, during the COVID-19 pandemic), and provided support to stabilization efforts after civil unrest. The military will continue to assist civilian agencies with future medical response to similar disasters, contagious outbreaks, or even terrorist attacks. The keys to an effective disaster response are unity of effort, prior coordination, and iterative practice during military-civilian exercises to identify strengths and areas of improvement. Critical care advanced practice nurses are likely to work concurrently with military medical colleagues in multiple scenarios in the future; therefore, it is important for these nurses to understand the capacities and limitations of military medical assets. This article describes the capabilities and collaboration needed between civilian and military medical assets during a variety of disaster scenarios.","url":"https://pubmed.ncbi.nlm.nih.gov/36477848/","authors":["Flarity K","DeDecker LD","Averett-Brauer TA","Duquette-Frame T","Rougeau TR","Aycock A","Urban S","McKay JT","Cox DB"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2022 Dec 15","doi":"10.4037/aacnacc2022595","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:43.695Z"},{"id":"pmid:36474671","name":"Lessons learnt for air pollution mitigation policies from the COVID-19 pandemic: The Italian perspective.","source":"pubmed","abstract":"Policies to improve air quality need to be based on effective plans for reducing anthropogenic emissions. In 2020, the outbreak of COVID-19 pandemic resulted in significant reductions of anthropogenic pollutant emissions, offering an unexpected opportunity to observe their consequences on ambient concentrations. Taking the national lockdown occurred in Italy between March and May 2020 as a case study, this work tries to infer if and what lessons may be learnt concerning the impact of emission reduction policies on air quality. Variations of NO 2 , O 3 , PM 10 and PM 2.5 concentrations were calculated from numerical model simulations obtained with business as usual and lockdown specific emissions. Both simulations were performed at national level with a horizontal resolution of 4&#xa0;km, and at local level on the capital city Rome at 1&#xa0;km resolution. Simulated concentrations showed a good agreement with in-situ observations, confirming the modelling systems capability to reproduce the effects of emission reductions on ambient concentration variations, which differ according to the individual air pollutant. We found a general reduction of pollutant concentrations except for ozone, that experienced an increase in Rome and in the other urban areas, and a decrease elsewhere. The obtained results suggest that acting on precursor emissions, even with sharp reductions like those experienced during the lockdown, may lead to significant, albeit complex, reduction patterns for secondary pollutant concentrations. Therefore, to be more effective, reduction measures should be carefully selected, involving more sectors than those related to mobility, such as residential and agriculture, and integrated on different scales.","url":"https://pubmed.ncbi.nlm.nih.gov/36474671/","authors":["D'Isidoro M","D'Elia I","Vitali L","Briganti G","Cappelletti A","Piersanti A","Finardi S","Calori G","Pepe N","Di Giosa A","Bolignano A","Zanini G"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2022 Dec","doi":"10.1016/j.apr.2022.101620","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:43.695Z"},{"id":"pmid:36437259","name":"Evaluating the potential of suburban and rural areas for tourism and recreation, including individual short-term tourism under pandemic conditions.","source":"pubmed","abstract":"Limited mobility and restrictions in social life caused by the COVID-19 pandemic changed people's recreational behavior and made them seek more contact with nature. As a result, the provision of new recreational spaces in the vicinity of cities gained importance. In conditions of social distancing, rural and suburban areas can be an attractive alternative to individual short-term tourism, satisfying the need for recreation and mental and physical health restoration of urban residents. In the study a methodology for assessing the tourist and recreational potential of the area (METPRET) concerning the recreational behaviors identified in the pandemic was proposed. It includes the Recreational Potential Index (RPI), which comprises four criteria: landscape values and socio-economic conditions; environmental protection; air quality; transportation accessibility. The application of the methodology is exemplified in the Mazovia Voivodeship, Poland. The research allows the determination of characteristics that potential recreation areas should have under pandemic conditions. The RPI makes it possible to select new rural and suburban areas attractive for short-term tourism. Designating additional recreational areas may contribute to the dispersion of users in existing green areas in cities, which is particularly important during a pandemic.","url":"https://pubmed.ncbi.nlm.nih.gov/36437259/","authors":["Bielska A","Borkowski AS","Czarnecka A","Delnicki M","Kwiatkowska-Malina J","Piotrkowska M"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2022 Nov 27","doi":"10.1038/s41598-022-24503-z","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:43.695Z"},{"id":"pmid:36425428","name":"Microclimate investigation of vehicular traffic on the urban heat island through IoT-Based device.","source":"pubmed","abstract":"Anthropogenic is defined as one of the influencing factors of the climatic phenomenon, called Urban Heat Island (UHI), in which urban areas have higher air temperatures than their rural surroundings. Analyzing the impact of anthropogenic factors, such as vehicular traffic, has implications for the potential benefits of health monitoring systems; however, the spatiotemporal impact of anthropogenic factors, as well as vehicle mobility, has not been thoroughly investigated. This study incorporates vehicle mobility data by leveraging two different sensors; fixed station sensor instruments designed to integrate with the Internet of Things (IoT), and the camera of an area traffic control system (ATCS) that uses CCTV visualization with object detection. Using object detection and time-based traffic volume analysis, we obtain the level of the queue rate (&#x3bb;) to present the level of the traffic flow based on the average velocity of the vehicle flow. Based on the results, it showed that the average temperature in urban areas is higher than in suburban areas, and the severe traffic jams caused a significant increase in temperature, that is until 7 Celsius when the weather is sunny. In addition, the theoretical UHI ( UHI T ) model developed in this study can be used to estimate the UHI which is influenced by the queue rate.","url":"https://pubmed.ncbi.nlm.nih.gov/36425428/","authors":["Husni E","Prayoga GA","Tamba JD","Retnowati Y","Fauzandi FI","Yusuf R","Yahya BN"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2022 Nov","doi":"10.1016/j.heliyon.2022.e11739","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:43.695Z"},{"id":"pmid:36379336","name":"Utility of outdoor central site monitoring in assessing exposure of school children to ultrafine particles.","source":"pubmed","abstract":"Epidemiological studies investigating the association between daily particle exposure and health effects are frequently based on a single monitoring site located in an urban background. Using a central site in epidemiological time-series studies has been established based on the premises of low spatial variability of particles within the areas of interest and hence the adequacy of the central sites to monitor the exposure. This is true to a large extent in relation to larger particles (PM 2.5 , PM 10 ) that are typically monitored and regulated. However, the distribution of ultrafine particles (UFP), which in cities predominantly originate from traffic, is heterogeneous. With increasing pressure to improve the epidemiology of UFP, an important question to ask is, whether central site monitoring is representative of community exposure to this size fraction of particulate matter; addressing this question is the aim of this paper. To achieve this aim, we measured personal exposure to UFP, expressed as particle number concentration (PNC), using Philips Aerasense Nanotracers (NT) carried by the participants of the study, and condensation particle counters (CPC) or scanning mobility particle sizers (SMPS) at central fixed-site monitoring stations. The measurements were conducted at three locations in Brisbane (Australia), Cassino (Italy) and Accra (Ghana). We then used paired t-tests to compare the average personal and average fixed-site PNC measured over the same 24-h, and hourly, periods. We found that, at all three locations, the 24-h average fixed-site PNC was no different to the personal PNC, when averaged over the study period and all the participants. However, the corresponding hourly averages were significantly different at certain times of the day. These were generally times spent commuting and during cooking and eating at home. Our analysis of the data obtained in Brisbane, showed that maximum personal exposure occurred in the home microenvironment during morning breakfast and evening dinner time. The main source of PNC for personal exposure was from the home-microenvironment. We conclude that the 24-h average PNC from the central-site can be used to estimate the 24-h average personal exposure for a community. However, the hourly average PNC from the central site cannot consistently be used to estimate hourly average personal exposure, mainly because they are affected by very different sources.","url":"https://pubmed.ncbi.nlm.nih.gov/36379336/","authors":["Pradhan B","Jayaratne R","Thompson H","Buonanno G","Mazaheri M","Nyarku M","Lin W","Pereira ML","Cyrys J","Peters A","Morawska L"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2023 Feb 10","doi":"10.1016/j.scitotenv.2022.160162","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:43.695Z"},{"id":"pmid:36373064","name":"Impact of COVID-19 restrictions on the dry deposition fraction of settleable particulate matter at three industrial urban/suburban locations in northern Spain.","source":"pubmed","abstract":"Ninety 24-h samples of the dry deposition fraction of settleable particulate matter (DSPM) were collected at one suburban industrial site ('EMA') and two urban industrial sites ('Lauredal' and 'Laboratory') in the western area of Gij&#xf3;n (North of Spain) from December 2019 to June 2020. The levels registered point to an environmental issue that should receive close attention from environmental authorities. Before lockdown restrictions due to COVID-19 were established, all samples collected at the EMA site exceeded 300&#xa0;mg&#xb7;m -2 &#xb7;d -1 (the Spanish limit value until 2002). Large amounts of DSPM were also registered at the Lauredal and Laboratory sites, maximum levels reaching 1039.2 and 672.7&#xa0;mg&#xb7;m -2 &#xb7;d -1 , respectively. Seven metals were analysed in DSPM samples: Al, Ca, Fe, K, Mg, Mn and Na. Fe reached the highest values: 2473.4, 463.4 and 293.3&#xa0;mg&#xb7;m -2 &#xb7;d -1 (EMA, Lauredal and Laboratory sites, respectively). This study quantifies the reductions in the DSPM levels registered (on average, 97.2, 73.5 and 90.5% at the EMA, Lauredal and Laboratory sites, respectively) during the lockdown, which involved the restriction of population mobility and industrial activity. The influence of wind speed and its direction were also assessed to better understand the role of these restrictions in the observed reductions. The concentrations of all the metals in the DSPM were reduced by more than 75%, on average, except for K at the Laboratory and Lauredal sites. These decreases were much higher than those found by other authors for smaller fractions of the atmospheric particulate matter (PM10, PM2.5). The findings of the present study highlight the importance of DSPM in highly industrialized urban/suburban locations and indicate the direction that legal measures might take, given the influence of anthropogenic emissions.","url":"https://pubmed.ncbi.nlm.nih.gov/36373064/","authors":["Lara R","Megido L","Negral L","Suárez-Peña B","Castrillón L"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2022 Sep 1","doi":"10.1016/j.atmosenv.2022.119216","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:43.695Z"},{"id":"pmid:36370699","name":"Correlates of Outdoor Time in Schoolchildren From Families Speaking Nonofficial Languages at Home: A Multisite Canadian Study.","source":"pubmed","abstract":"Previous research shows that children from ethnic minority groups spend less time outdoors. Using data collected in 3 regions of Canada, we investigated the correlates of outdoor time among schoolchildren who spoke a nonofficial language at home.","url":"https://pubmed.ncbi.nlm.nih.gov/36370699/","authors":["Nayakarathna R","Patel NB","Currie C","Faulkner G","Riazi NA","Tremblay MS","Trudeau F","Larouche R"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2022 Dec 1","doi":"10.1123/jpah.2021-0812","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:43.695Z"},{"id":"pmid:36368439","name":"Past and future: Urbanization and the avian endocrine system.","source":"pubmed","abstract":"Urban environments are evolutionarily novel and differ from natural environments in many respects including food and/or water availability, predation, noise, light, air quality, pathogens, biodiversity, and temperature. The success of organisms in urban environments requires physiological plasticity and adjustments that have been described extensively, including in birds residing in geographically and climatically diverse regions. These studies have revealed a few relatively consistent differences between urban and non-urban conspecifics. For example, seasonally breeding urban birds often develop their reproductive system earlier than non-urban birds, perhaps in response to more abundant trophic resources. In most instances, however, analyses of existing data indicate no general pattern distinguishing urban and non-urban birds. It is, for instance, often hypothesized that urban environments are stressful, yet the activity of the hypothalamus-pituitary-adrenal axis does not differ consistently between urban and non-urban birds. A similar conclusion is reached by comparing blood indices of metabolism. The origin of these disparities remains poorly understood, partly because many studies are correlative rather than aiming at establishing causality, which effectively limits our ability to formulate specific hypotheses regarding the impacts of urbanization on wildlife. We suggest that future research will benefit from prioritizing mechanistic approaches to identify environmental factors that shape the phenotypic responses of organisms to urbanization and the neuroendocrine and metabolic bases of these responses. Further, it will be critical to elucidate whether factors affect these responses (a) cumulatively or synergistically; and (b) differentially as a function of age, sex, reproductive status, season, and mobility within the urban environment. Research to date has used various taxa that differ greatly not only phylogenetically, but also with regard to ecological requirements, social systems, propensity to consume anthropogenic food, and behavioral responses to human presence. Researchers may instead benefit from standardizing approaches to examine a small number of representative models with wide geographic distribution and that occupy diverse urban ecosystems.","url":"https://pubmed.ncbi.nlm.nih.gov/36368439/","authors":["Deviche P","Sweazea K","Angelier F"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2023 Feb 1","doi":"10.1016/j.ygcen.2022.114159","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:43.695Z"},{"id":"pmid:36366119","name":"Qualitative Examination of Cooperative-Intelligent Transportation Systems in Cities to Facilitate Large-Scale Future Deployment.","source":"pubmed","abstract":"The rate of urbanization in Europe is increasing rapidly. Traffic congestion has become one of the biggest challenges for cities. Additionally, thousands of people die each year in accidents on European roads. In addition, road transport is one of the biggest reasons for the increase in air pollution and greenhouse gases in Europe. To solve these problems, cooperative intelligent transport systems (C-ITS) have accelerated in Europe, after more than ten years of research and development. The European Commission has carried out significant work in this field in recent years and has prepared a strategy document for the deployment of C-ITS services in Europe. The Commission considers that C-ITS have significant potential in reducing the negative effects of road traffic and expects these systems to deploy rapidly in European cities. However, in order to achieve this, it is imperative to clearly identify the needs of cities in implementing and managing these systems, the extent to which these systems will respond to different mobility problems of the cities, and the important barriers to widespread deployment. This study focused on qualitatively examining the C-ITS deployment from the stakeholder perspective. The knowledge generated is useful to facilitate the large-scale future deployment of C-ITS.","url":"https://pubmed.ncbi.nlm.nih.gov/36366119/","authors":["Li S","Edwards S","Isik MO","Zhang Y","Blythe PT"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2022 Nov 2","doi":"10.3390/s22218423","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:43.695Z"},{"id":"pmid:36280056","name":"Biological monitoring and personal exposure to traffic-related air pollutants of elementary school-age children living in a metropolitan area.","source":"pubmed","abstract":"An ever-growing burden of scientific evidence links air pollution to different aspects of human health even at very low concentrations; the impact increases for those living in urban environments, especially the youngest and the elderly. This study investigated the exposure to air pollution of urban school children of Milan, Italy, by personal and biological monitoring, in the frame of the MAPS-MI project. A total of 128 primary school children (7-11 years) were involved in a two-season monitoring campaign during spring 2018 and winter 2019. Personal exposure to airborne VOCs and eBC, and biological monitoring of urinary benzene (BEN-U) and methyl-tert-butyl ether (MTBE-U) were performed. Time-activity patterns, environmental tobacco smoke (ETS), spatial, and meteorological information were evaluated as determinants in mixed effects regression analysis. Children personal exposure was mostly quantifiable with median (5th-95th percentile) levels 1.9 (0.8-7.5) &#x3bc;g/m 3 for eBC, and 1.1 (&lt;0.6-3.4) and 0.8 (0.3-1.8) &#x3bc;g/m 3 for benzene and MTBE, respectively; with values 2-3-fold higher in winter than in spring. In urine, median (5th-95th) BEN-U and MTBE-U levels were 44.9 (25.7-98.6) and 11.5 (5.0-35.5) ng/L, respectively. Mixed effect regression models explained from 72 to 93 % of the total variability for air pollutants, and from 58 to 61 % for biomarkers. Major contributors of personal exposure were season, wind speed, mobility- or traffic-related variables; biomarkers were mostly predicted by airborne exposure and ETS. Our results suggest that traffic-mitigation actions, together with parents' educational interventions on ETS and commuting mode, should be undertaken to lower children exposure to air pollution.","url":"https://pubmed.ncbi.nlm.nih.gov/36280056/","authors":["Boniardi L","Campo L","Olgiati L","Longhi F","Scuffi C","Fustinoni S"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2023 Jan 20","doi":"10.1016/j.scitotenv.2022.159654","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:43.695Z"},{"id":"pmid:36269475","name":"Important revelations of different degrees of COVID-19 lockdown on improving regional air quality: a case study of Shijiazhuang, China.","source":"pubmed","abstract":"To control the spread of COVID-19, Shijiazhuang implemented two lockdowns of different magnitudes in 2020 (lockdown I) and 2021 (lockdown II). We analyzed the changes in air quality index (AQI), PM 2.5 , O 3 , and VOCs during the two lockdowns and the same period in 2019 and quantified the effects of anthropogenic sources during the lockdowns. The results show that AQI decreased by 13.2% and 32.4%, and PM 2.5 concentrations decreased by 12.9% and 42.4% during lockdown I and lockdown II, respectively, due to the decrease in urban traffic mobility and industrial activity levels. However, the sudden and unreasonable emission reductions led to an increase in O 3 concentrations by 160.6% and 108.4%, respectively, during the lockdown period. To explore the causes of the O 3 surge, the major precursors NO x and VOCs were studied separately, and the main VOCs species affecting ozone formation during the lockdown period and the source variation of VOCs were identified, and it is important to note that the relationship between diurnal variation characteristics of VOCs and cooking became apparent during the lockdown period. These findings suggest that regional air quality can be improved by limiting production, but attention should be paid to the surge of O 3 caused by unreasonable emission reductions, clarifying the control priorities for urban O 3 management.","url":"https://pubmed.ncbi.nlm.nih.gov/36269475/","authors":["Guan Y","Shen Y","Liu X","Liu X","Chen J","Li D","Xu M","Wang L","Duan E","Hou L","Han J"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2023 Feb","doi":"10.1007/s11356-022-23715-0","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:43.695Z"},{"id":"pmid:36231971","name":"Spatial Equity of PM(2.5) Pollution Exposures in High-Density Metropolitan Areas Based on Remote Sensing, LBS and GIS Data: A Case Study in Wuhan, China.","source":"pubmed","abstract":"In-depth studies have been conducted on the risk of exposure to air pollution in urban residents, but most of them are static studies based on the population of residential units. Ignoring the real environmental dynamics during daily activity and mobility of individual residents makes it difficult to accurately estimate the level of air pollution exposure among residents and determine populations at higher risk of exposure. This paper uses the example of the Wuhan metropolitan area, high-precision air pollution, and population spatio-temporal dynamic distribution data, and applies geographically weighted regression models, bivariate LISA analysis, and Gini coefficients. The risk of air pollution exposure in elderly, low-age, and working-age communities in Wuhan was measured and the health equity within vulnerable groups such as the elderly and children was studied. We found that ignoring the spatio-temporal behavioral activities of residents underestimated the actual exposure hazard of PM 2.5 to residents. The risk of air pollution exposure was higher for the elderly than for other age groups. Within the aging group, a few elderly people had a higher risk of pollution exposure. The high exposure risk communities of the elderly were mainly located in the central and sub-center areas of the city, with a continuous distribution characteristic. No significant difference was found in the exposure risk of children compared to the other populations, but a few children were particularly exposed to pollution. Children's high-exposure communities were mainly located in suburban areas, with a discrete distribution. Compared with the traditional static PM 2.5 exposure assessment, the dynamic assessment method proposed in this paper considers the high mobility of the urban population and air pollution. Thus, it can accurately reveal the actual risk of air pollution and identify areas and populations at high risk of air pollution, which in turn provides a scientific basis for proposing planning policies to reduce urban PM 2.5 and improve urban spatial equity.","url":"https://pubmed.ncbi.nlm.nih.gov/36231971/","authors":["Shan Z","Li H","Pan H","Yuan M","Xu S"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2022 Oct 3","doi":"10.3390/ijerph191912671","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:43.695Z"},{"id":"pmid:36228692","name":"Health impacts from TRAPs and carbon emissions in the projected electric vehicle growth and energy generation mix scenarios in Malaysia.","source":"pubmed","abstract":"Road transport contributes over 70% of air pollution in urban areas and is the second largest contributor to the total carbon dioxide emissions in Malaysia at 21% in 2016. Transport-related air pollutants (TRAPs) such as NO x , SO 2 , CO and particulate matter (PM) pose significant threats to the urban population's health. Malaysia has targeted to deploy 885,000&#xa0;EV cars on the road by 2030 in the Low Carbon Mobility Blueprint (LCMB). This study aims to quantify the health co-benefits of electric vehicle adoption from their impacts on air quality in Malaysia. Two EV uptake projections, i.e. LCMB and Revised EV Adoption (REVA) projections, and five electricity generation mix scenarios were modelled up to 2040. We used comparative health risk assessment to estimate the potential changes in mortality and burden of diseases (BoD) from the emissions in each scenario. Intake fractions and exposure-risk functions were used to calculate the burden from respiratory diseases (PM 2.5 , NO x , SO 2 , CO), cardiovascular diseases and lung cancer (PM 2.5 ). Results showed that along with a net reduction of carbon emissions across all scenarios, there could be reduced respiratory mortality from NO x by 10,200 mortality (176,200 DALYs) and SO 2 by 2600 mortality (45,400 DALYs) per year in 2040. However, there could also be additional 719 mortality (9900 DALYs) per year from PM 2.5 and 329 mortality (5600 DALYs) from CO per year. The scale of reduction in mortality and BoD from NO x and SO 2 are significantly larger than the scale of increase from PM 2.5 and CO, indicating potential net positive health impacts from the EV adoption in the scenarios. The health cost savings from the reduced BoD of respiratory mortality could reach up to RM 7.5 billion per year in 2040. In conclusion, EV is a way forward in promoting a healthy and sustainable future transport in Malaysia.","url":"https://pubmed.ncbi.nlm.nih.gov/36228692/","authors":["Kwan SC","Zakaria SB","Ibrahim MF","Wan Mahiyuddin WR","Md Sofwan N","A Wahab MI","Ahmad RDR","Abbas AR","Woon WK","Sahani M"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2023 Jan 1","doi":"10.1016/j.envres.2022.114524","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:43.695Z"},{"id":"pmid:36186416","name":"The Long-Term effects of COVID-19 on travel behavior in the United States: A panel study on work from home, mode choice, online shopping, and air travel.","source":"pubmed","abstract":"A critical challenge facing transportation planners is to identify the type and the extent of changes in people's activity-travel behavior in the post-Covid-19 pandemic world. In this study, we investigate the travel behavior evolution by analyzing a longitudinal two-wave panel survey data conducted in the United States from April 2020 to May 2021. Encompassing nearly 3,000 respondents across different states, we explored the effects of the pandemic on four major categories of work from home, travel mode choice, online shopping, and air travel. We utilized descriptive and econometric measures, including random effects ordered probit models, to shed light on the pandemic-induced changes and the underlying factors affecting the future of mobility in the post-pandemic world. Upon concrete evidence, our findings substantiate significant observed (i.e., during the pandemic) and expected (i.e., after the pandemic) changes in people's habits and preferences. According to our results, 48% of the respondents anticipate having the option to WFH after the pandemic, which indicates an approximately 30% increase compared to the pre-pandemic period. In the post-pandemic period, auto and transit commuters are expected to be 9% and 31% less than pre-pandemic, respectively. A considerable rise in hybrid work and grocery online shopping is expected. Moreover, 41% of pre-covid business travelers expect to have fewer flights (after the pandemic) while only 8% anticipate more, compared to the pre-pandemic.","url":"https://pubmed.ncbi.nlm.nih.gov/36186416/","authors":["Javadinasr M","Maggasy T","Mohammadi M","Mohammadain K","Rahimi E","Salon D","Conway MW","Pendyala R","Derrible S"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2022 Oct","doi":"10.1016/j.trf.2022.09.019","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:43.695Z"},{"id":"pmid:36182162","name":"Atmospheric Particle Hygroscopicity and the Influence by Oxidation State of Organic Aerosols in Urban Beijing.","source":"pubmed","abstract":"A hygroscopic tandem differential mobility analyser (H-TDMA) was used to observe the size-resolved hygroscopic characteristics of submicron particles in January and April 2018 in urban Beijing. The probability distribution of the hygroscopic growth factor (HGF-PDF) in winter and spring usually showed a bimodal pattern, with more hygroscopic mode (MH) being more dominant. The seasonal variation in particle hygroscopicity was related to the origin of air mass, which received polluted southerly air masses in spring and clean northwesterly air masses in winter. Particles showed stronger hygroscopic behaviour during heavy pollution episodes (HPEs) with elevated concentrations of secondary aerosols, especially higher mass fraction of nitrate, which were indicated using the PM 2.5 (particulate matter with diameter below 2.5 &#xb5;m) mass concentration normalised by CO mass concentration. The hygroscopic parameter (&#x3ba;) values were calculated using H-TDMA (&#x3ba; htdma ) and chemical composition (&#x3ba; chem ). The closure study showed that &#x3ba; chem was overestimated in winter afternoon when compared with &#x3ba; htdma , because the organic particle hygroscopic parameter (&#x3ba; org ) was overestimated in the calculations. It was influenced by the presence of a high concentration of hydrocarbon-like organic aerosol (HOA) with a weak water uptake ability. A positive relationship was observed between &#x3ba; org and the ratio of oxygenated organic aerosol (OOA) and HOA, thereby indicating that the strong oxidation state enhanced the hygroscopicity of the particles. This study revealed the effect of local emission sources and secondary aerosol formation processes on particle hygroscopicity, which is of great significance for understanding the pollution formation mechanism in the North China Plain.","url":"https://pubmed.ncbi.nlm.nih.gov/36182162/","authors":["Zhang S","Shen X","Sun J","Zhang Y","Zhang X","Xia C","Hu X","Zhong J","Wang J","Liu S"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2023 Feb","doi":"10.1016/j.jes.2021.11.019","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:43.695Z"},{"id":"pmid:36130399","name":"How the Covid-19 pandemic has drawn attention to the issue of active mobility and co-benefits in Latin American cities.","source":"pubmed","abstract":"The Covid-19 pandemic has brought to the fore many issues that will impact public health for years to come -one such impact is on the nexus between transportation and health. Promoting safe, active transport is an activity that has many physical and mental health benefits. During lockdowns, many cities in Latin America imposed infrastructural and legislative changes in order to abide with public health and social mea-sures to reduce virus spread. These ranged from additional bike lanes to reduced speed limits or incentives to purchase bicycles. These cities showed reduced motorized transport, improved air quality and increased active transport, all of which have multiple health and equity benefits. As countries \"build back better\", promoting active transport offers the most value for investment and improves health and well-being while continuing to offer social distancing. Quantified case studies are needed to have a more comprehensive under-standing of the impact of active transport in various contexts.","url":"https://pubmed.ncbi.nlm.nih.gov/36130399/","authors":["Peden M","Puvanachandra P","Keller ME","Rodrigues EM","Quistberg A","Jagnoor J"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2022 Jun 13","doi":"10.21149/12786","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:43.695Z"},{"id":"pmid:36045144","name":"Promoting pedestrian ecomobility in Riyadh City for sustainable urban development.","source":"pubmed","abstract":"As the world is giving climate change a higher priority, several Coalitions are working on meeting a clean and green environment (SDG 13), focusing on new streets' design in total urban development. A previous study discussed the pedestrian mobility status in Riyadh city, with attention to sustainable mobility, considering the pedestrians' traveling patterns that use their cars rather than public transportation. This paper investigates the Ecomobility that seeks to promote the integration of passenging, cycling, wheeling, and walking. This approach will provide better health (SDG 3), clean air, mobility and accessibility, noise avoidance, greenhouse gas emission reduction, individual cost savings, and energy efficiency (SDG 11). It analyzes the pedestrians' traveling modes in Riyadh city through a case study of the Prince Sultan University's (PSU) community, then evaluates the pedestrians' environment quality in the campus surroundings. Analysis used a web-based survey referred to the PSU people, including Students, Faculty, and Staff. On the other hand, the pedestrian's environment quality was evaluated on-site built on well-constructed criteria. The assessment's results addressed the factors influencing pedestrian choices and underlined the barriers to transformation to Ecomobility. They revealed that around 73% of the respondents expressed willingness to transform to ecomobility modes. About 52% of the survey sample preferred the public bus option. For the non-motorized options, students preferred cycling and wheeling modes, while faculty members and staff preferred walking. Based on conclusions, recommendations are proposed to foster pedestrian ecomobility for sustainable urban development in Riyadh city.","url":"https://pubmed.ncbi.nlm.nih.gov/36045144/","authors":["Katar I"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2022 Aug 31","doi":"10.1038/s41598-022-18183-y","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:43.695Z"},{"id":"pmid:36040277","name":"Field measurements of indoor and community air quality in rural Beijing before, during, and after the COVID-19 lockdown.","source":"pubmed","abstract":"The coronavirus (COVID-19) lockdown in China is thought to have reduced air pollution emissions due to reduced human mobility and economic activities. Few studies have assessed the impacts of COVID-19 on community and indoor air quality in environments with diverse socioeconomic and household energy use patterns. The main goal of this study was to evaluate whether indoor and community air pollution differed before, during, and after the COVID-19 lockdown in homes with different energy use patterns. Using calibrated real-time PM 2.5 sensors, we measured indoor and community air quality in 147 homes from 30 villages in Beijing over 4&#x2009;months including periods before, during, and after the COVID-19 lockdown. Community pollution was higher during the lockdown (61&#x2009;&#xb1;&#x2009;47&#x2009;&#x3bc;g/m 3 ) compared with before (45&#x2009;&#xb1;&#x2009;35&#x2009;&#x3bc;g/m 3 , p&#x2009;&lt;&#x2009;0.001) and after (47&#x2009;&#xb1;&#x2009;37&#x2009;&#x3bc;g/m 3 , p&#x2009;&lt;&#x2009;0.001) the lockdown. However, we did not observe significantly increased indoor PM 2.5 during the COVID-19 lockdown. Indoor-generated PM 2.5 in homes using clean energy for heating without smokers was the lowest compared with those using solid fuel with/without smokers, implying air pollutant emissions are reduced in homes using clean energy. Indoor air quality may not have been impacted by the COVID-19 lockdown in rural settings in China and appeared to be more impacted by the household energy choice and indoor smoking than the COVID-19 lockdown. As clean energy transitions occurred in rural households in northern China, our work highlights the importance of understanding multiple possible indoor sources to interpret the impacts of interventions, intended or otherwise.","url":"https://pubmed.ncbi.nlm.nih.gov/36040277/","authors":["Li X","Baumgartner J","Harper S","Zhang X","Sternbach T","Barrington-Leigh C","Brehmer C","Robinson B","Shen G","Zhang Y","Tao S","Carter E"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2022 Aug","doi":"10.1111/ina.13095","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:43.695Z"},{"id":"pmid:35999835","name":"Impacts of the COVID-19 lockdown measures on coarse and fine atmospheric aerosol particles (PM) in the city of Rome (Italy): compositional data analysis approach.","source":"pubmed","abstract":"In the year 2020, Italy faced a pandemic due to the virus SARS-CoV-2 for short COVID-19. Following this pandemic, a national lockdown period was imposed and throughout the year 2020 various measures were taken by the government to limit the mobility of people and contain the mortality associated with COVID-19. In Italy, pandemic measures led to a reduction in anthropogenic activities and provided an unprecedented opportunity to evaluate the possible effects that restrictions on anthropogenic activities may have on the air quality. Two background site (i.e., Cipro and Cinecitt&#xe0;) and a traffic sites (i.e., Corso Francia) were studied in the city of Rome. PM 10 and PM 2.5 were considered for the years 2019 and 2020. Moreover, the vehicular mobility, the emission classes of the vehicles, and the people mobility were taken into consideration along with meteorological variables. A compositional data analysis was used to evaluate the effect of pandemic measures on the fine- and coarse-size fractions of PM in the three considered sites. The results showed that in the traffic site (i.e., Corso Francia site) in 2020, there was a reduction of fine-size fraction of PM of about 10% when compared to the data of 2019, whereas in the background site (i.e., Cinecitt&#xe0; site) in 2020 there was an increase of fine-size fraction of PM of about 14% when compared to the data of 2019. No variation in the coarse- and fine-size fractions of PM were observed at the background site Cipro. This study showed how, in an urban context, PM can be influenced by strong changes in people's habits and in vehicular mobility such as those recorded during the investigated period and due to pandemic lockdown measures.","url":"https://pubmed.ncbi.nlm.nih.gov/35999835/","authors":["Speranza A","Caggiano R"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2022","doi":"10.1007/s11869-022-01235-7","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:43.695Z"},{"id":"pmid:35997842","name":"A prospective study to evaluate CO(2) emission mitigation strategies for highway transportation.","source":"pubmed","abstract":"Ranking as one of the largest mobility modes for passengers and freight, highway transportation globally accounts for huge amounts of fossil-based energy consumption and greenhouse gas emissions. Correspondingly, on-road transportation causes detrimental effects on air quality, climate change, and global warming, particularly over the short term. In order to prevent a further escalation of this detrimental environmental issue, long-term efficacious policies aimed at reducing the transportation-driven CO 2 emission should be urgently enacted and implemented on a global scale. Thus, this paper presents an exploratory study with the main objective of investigating the impact of four adopted mitigation scenarios that suggest switching to Euro 6 vehicle emission standards, increasing the average urban traffic speed limits, encouraging public transport, and increasing the proportion of hybrid electric vehicles. This study then compared and contrasted each strategy and its subgroups with a reference scenario projected for the year 2025. The evidence from this research showed that transition to Euro 6 compliant vehicles significantly decarbonizes the transportation sector, yet more vehicle electrification is required to achieve the Paris Climate Agreement targets. The results also indicate that by 2025, a 10% shift from passenger cars to public transport will decrease CO 2 emissions by 3%, whilst increasing the urban traffic speed by 10&#xa0;km/h will yield a 1.38% CO 2 gas emission saving.","url":"https://pubmed.ncbi.nlm.nih.gov/35997842/","authors":["Gedik A","Uslu O","Lav AH"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2022 Aug 23","doi":"10.1007/s10661-022-10349-5","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:43.695Z"},{"id":"pmid:35974996","name":"Ambient concentrations and dosimetry of inhaled size-segregated particulate matter during periods of low urban mobility in Bragança, Portugal.","source":"pubmed","abstract":"The restrictive measures in place during the COVID-19 pandemic provided a timely scenario to investigate the effects of human activities on air quality, and the extent to which mobility reduction strategies can impact atmospheric pollutant levels. Real-time concentrations of PM 1 , PM 2.5 and PM 10 were measured using a mobile platform in a small city of Portugal, during morning and afternoon rush hours, in two distinct phases of the pandemic: emergency phase (cold period, lockdown) and calamity phase (warm period, less restricted). The Multiple-Path Particle Dosimetry Model (MPPD) was used to calculate the PM deposition for adults. Large spatio-temporal variabilities and pronounced changes in mean PM concentrations were observed, with lower concentrations in the calamity phase: PM 1 &#xa0;=&#xa0;2.33&#xa0;&#xb1;&#xa0;1.61&#xa0;&#x3bc;g&#xa0;m -3 ; PM 2.5 &#xa0;=&#xa0;5.15&#xa0;&#xb1;&#xa0;2.77&#xa0;&#x3bc;g&#xa0;m -3 ; PM 10 &#xa0;=&#xa0;23.30&#xa0;&#xb1;&#xa0;21.53&#xa0;&#x3bc;g&#xa0;m -3 than in the emergency phase: PM 1 &#xa0;=&#xa0;16.85&#xa0;&#xb1;&#xa0;31.80&#xa0;&#x3bc;g&#xa0;m -3 ; PM 2.5 &#xa0;=&#xa0;30.92&#xa0;&#xb1;&#xa0;31.93&#xa0;&#x3bc;g&#xa0;m -3 ; PM 10 &#xa0;=&#xa0;111.27&#xa0;&#xb1;&#xa0;104.53&#xa0;&#x3bc;g&#xa0;m -3 . These changes are explained by a combination of meteorological factors and local emissions, mainly residential firewood burning. Regarding regional deposition, PM 1 was the main contributor to deposition in the tracheobronchial (5%) and pulmonary (12%) regions, and PM 10 in the head region (92%). In general, total deposition doses were higher for males than for females. This work quantitatively demonstrated that even with a 38% reduction in urban mobility during the lockdown, the use of firewood for residential heating is the main contributor to the high concentrations of PM and the respective inhaled dose.","url":"https://pubmed.ncbi.nlm.nih.gov/35974996/","authors":["Cipoli YA","Targino AC","Krecl P","Furst LC","Alves CDA","Feliciano M"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2022 Sep","doi":"10.1016/j.apr.2022.101512","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:43.695Z"},{"id":"pmid:35971689","name":"[Observation Analyses of Aerosol Size Distribution Properties from February to March, 2019 in Tianjin Urban Area].","source":"pubmed","abstract":"The aerosol size distribution is an important physical parameter reflecting the source, formation process, and pollution characteristics of aerosol particles. In order to study the properties of aerosol number concentration and size distributions in the Tianjin urban area,the aerosol number concentration and size distributions ranging from 10-600 nm were detected using a scanning mobility particle sizer (SMPS) during February and March, 2019. The results showed that in the Tianjin urban area, the aerosol number concentration,surface area concentration. and volume concentration in the size range of 10-600 nm were 22188.22 cm -3 , 1581.08 &#x3bc;m 2 &#xb7;cm -3 , and 70.76 &#x3bc;m 3 &#xb7;cm -3 ,respectively, in late winter and early spring. The aerosol number concentration,surface area concentration, and volume concentration spectrum were all unimodally distributed,and the peak value sizes were 109.40, 269.00, and 429.40 nm. The number concentrations of the nucleation mode (10-20 nm),Aitken mode (20-100 nm), and accumulation mode (100-600 nm) aerosols accounted for 1.40%, 52.44%, and 46.16% of the total number concentration. The diurnal variation in aerosol number concentration showed three peaks (06:00-08:00, 12:00-14:00, and 18:00-20:00) on work days and two peaks (07:00-08:00 and 19:00-21:00) on weekends. The peaks appeared 1-2 hours later on weekends,and the increment of aerosol number concentration was attributed to vehicle exhaust emissions. Meteorological factors had a significant influence on the aerosol size distribution in Tianjin; aerosol number concentration values were high in east and southwest wind. On non-precipitation days,the aerosol number size distribution moved to larger size ranges with the increment of relative humidity (RH); as the RH increased from &lt;20% to 50%-60%,the size peak increased from 50 nm to 131 nm. The precipitation removed 100-200 nm aerosol particles discernibly,which resulted in the size peak decreasing to 98 nm.","url":"https://pubmed.ncbi.nlm.nih.gov/35971689/","authors":["Hao J","Cai ZY","Liu JL","Wang XJ","Yao Q"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2022 Aug 8","doi":"10.13227/j.hjkx.202112095","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:43.695Z"},{"id":"pmid:35953699","name":"Drivers of avian habitat use and detection of backyard birds in the Pacific Northwest during COVID-19 pandemic lockdowns.","source":"pubmed","abstract":"Birds living in developed areas contend with numerous stressors, including human disturbance and light, noise, and air pollution. COVID-19 pandemic lockdowns presented a unique opportunity to disentangle these effects during a period of reduced human activity. We launched a community science project in spring 2020 to explore drivers of site use by and detection of common birds in cities under lockdown in the U.S. Pacific Northwest. Our goals were twofold: (1) consider how intensity of urbanization, canopy cover, and availability of bird feeders and bird baths influenced avian habitat use; and (2) quantify how daily changes in weather, air pollution, and human mobility influenced detection of birds. We analyzed 6,640 surveys from 367 volunteers at 429 monitoring sites using occupancy models for 46 study species. Neither land cover nor canopy cover influenced site use by 50% of study species, suggesting that backyard birds may have used a wider range of habitats during lockdowns. Human mobility affected detection of 76% of study species, suggesting that birds exhibited species-specific behavioral responses to day-to-day changes in human activity beginning shortly after initial lockdown restrictions were implemented. Our study also showcases how existing community science platforms can be leveraged to support local monitoring efforts.","url":"https://pubmed.ncbi.nlm.nih.gov/35953699/","authors":["Sanderfoot OV","Kaufman JD","Gardner B"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2022 Aug 11","doi":"10.1038/s41598-022-16406-w","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:43.695Z"},{"id":"pmid:35935595","name":"COVID-19 impacts on mobility, environment, and health of active transportation users.","source":"pubmed","abstract":"Active transportation could be an effective way to promote healthy physical activity, especially during pandemics like COVID-19. A comprehensive evaluation of health outcomes derived from COVID-19 induced active transportation can assist multiple stakeholders in revisiting strategies and priorities for supporting active transportation during and beyond the pandemic. We performed a two-step reviewing process by combining a scoping review with a narrative review to summarize published literature addressing the influence of COVID-19 on mobility and the environment that can lead to various health pathways and health outcomes associated with active transportation. We summarized the COVID-19 induced changes in active transportation demand, built environment, air quality, and physical activity. The results demonstrated that, since the pandemic began, bike-sharing users dropped significantly while recreational bike trips and walking activities increased in some areas. Meanwhile, there have been favorable changes to the air quality and the built environment for active transportation users. We then discussed how these changes impact health outcomes during the pandemic and their implications for urban planning and policymaking. This review also suggests that walking and biking can make up for the reduced physical activities during the pandemic, helping people stay active and healthy.","url":"https://pubmed.ncbi.nlm.nih.gov/35935595/","authors":["Li X","Farrukh M","Lee C","Khreis H","Sarda S","Sohrabi S","Zhang Z","Dadashova B"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2022 Dec","doi":"10.1016/j.cities.2022.103886","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:43.695Z"},{"id":"pmid:35891133","name":"BREEZE-Boundary Red Emission Zone Estimation Using Unmanned Aerial Vehicles.","source":"pubmed","abstract":"Catastrophic gas leak events require human First Responder Teams (FRTs) to map hazardous areas (red zones). The initial task of FRT in such events is to assess the risk according to the pollution level and to quickly evacuate civilians to prevent casualties. These teams risk their lives by manually mapping the gas dispersion. This process is currently performed using hand-held gas detectors and requires dense and exhaustive monitoring to achieve reliable maps. However, the conventional mapping process is impaired due to limited human mobility and monitoring capacities. In this context, this paper presents a method for gas sensing using unmanned aerial vehicles. The research focuses on developing a custom path planner-Boundary Red Emission Zone Estimation (BREEZE). BREEZE is an estimation approach that allows efficient red zone delineation by following its boundary. The presented approach improves the gas dispersion mapping process by performing adaptive path planning, monitoring gas dispersion in real time, and analyzing the measurements online. This approach was examined by simulating a cluttered urban site in different environmental conditions. The simulation results show the ability to autonomously perform red zone estimation faster than methods that rely on predetermined paths and with a precision higher than ninety percent.","url":"https://pubmed.ncbi.nlm.nih.gov/35891133/","authors":["Elmakis O","Shaked T","Fishbain B","Degani A"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2022 Jul 21","doi":"10.3390/s22145460","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:43.695Z"},{"id":"pmid:35886583","name":"Air Pollution and Workplace Choice: Evidence from China.","source":"pubmed","abstract":"Understanding the impacts of air pollution on public health and individual behavior is crucial for optimal environmental policy design. Using 2015 census microdata in China, this paper examined the causal effect of air pollution on working place choice. The research design relies on a regression discontinuity design based on China's Huai River Policy. The discontinuity in air pollution caused by the Huai River Policy provides a natural experiment to estimate the impact of air pollution. The results show that air pollution significantly increases the possibility of individuals working near home. The positive effect of air pollution on working near home is more significant for women, the elderly, urban individuals and those individuals working in secondary and tertiary industries. This study improves our understanding of the health effects and avoidance behavior associated with environmental hazards, discusses the negative impact of air pollution on labor mobility and mismatch by making individuals work nearby, and emphasizes that strengthening air pollution control should be a long-term policy.","url":"https://pubmed.ncbi.nlm.nih.gov/35886583/","authors":["Lin T","Qian W","Wang H","Feng Y"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2022 Jul 18","doi":"10.3390/ijerph19148732","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:43.695Z"},{"id":"pmid:35879973","name":"The face behind the Covid-19 mask - A comprehensive review.","source":"pubmed","abstract":"The threat of epidemic outbreaks like SARS-CoV-2 is growing owing to the exponential growth of the global population and the continual increase in human mobility. Personal protection against viral infections was enforced using ambient air filters, face masks, and other respiratory protective equipment. Available facemasks feature considerable variation in efficacy, materials usage and characteristic properties. Despite their widespread use and importance, face masks pose major potential threats due to the uncontrolled manufacture and disposal techniques. Improper solid waste management enables viral propagation and increases the volume of associated biomedical waste at an alarming rate. Polymers used in single-use face masks include a spectrum of chemical constituents: plasticisers and flame retardants leading to health-related issues over time. Despite ample research in this field, the efficacy of personal protective equipment and its impact post-disposal is yet to be explored satisfactorily. The following review assimilates information on the different forms of personal protective equipment currently in use. Proper waste management techniques pertaining to such special wastes have also been discussed. The study features a holistic overview of innovations made in face masks and their corresponding impact on human health and environment. Strategies with SDG3 and SDG12, outlining safe and proper disposal of solid waste, have also been discussed. Furthermore, employing the CFD paradigm, a 3D model of a face mask was created based on fluid flow during breathing techniques. Lastly, the review concludes with possible future advancements and promising research avenues in personal protective equipment.","url":"https://pubmed.ncbi.nlm.nih.gov/35879973/","authors":["Ganesapillai M","Mondal B","Sarkar I","Sinha A","Ray SS","Kwon YN","Nakamura K","Govardhan K"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2022 Nov","doi":"10.1016/j.eti.2022.102837","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:43.695Z"},{"id":"pmid:35855931","name":"The concentration of BTEX in selected urban areas of Malaysia during the COVID-19 pandemic lockdown.","source":"pubmed","abstract":"Volatile organic compounds (VOCs) such as benzene, toluene, ethylbenzene and xylene (BTEX) are air pollutants that harm human health. This study aims to identify BTEX concentrations before the lockdown known as the Movement Control Order was imposed (BMCO), during the implementation of the Movement Control Order (MCO), and then during the Conditional Movement Control Order (CMCO). These orders were introduced during the COVID-19 pandemic in Malaysia. The study utilised data measured by the continuous monitoring of BTEX using online gas chromatography instruments located at three urban area stations. The results showed that the BTEX concentrations reduced by between -38% and&#xa0;-46% during the MCO compared to the BMCO period. The reduction of human mobility during the MCO and CMCO influenced the lower BTEX concentrations recorded at a station within the Kuala Lumpur area. The results of the BTEX diagnostic ratios and principal component analysis showed that the major source of BTEX, especially during the BMCO and CMCO periods, was motor vehicle emissions. Further investigation, using correlation analysis and polar plots, showed that the BTEX concentrations were also influenced by meteorological variables such as wind speed, air temperature and relative humidity.","url":"https://pubmed.ncbi.nlm.nih.gov/35855931/","authors":["Hawari NSSL","Latif MT","Hamid HHA","Leng TH","Othman M","Mohtar AAA","Azhari A","Dominick D"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2022 Sep","doi":"10.1016/j.uclim.2022.101238","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:43.695Z"},{"id":"pmid:35808264","name":"Optimizing Urban Air Pollution Detection Systems.","source":"pubmed","abstract":"Air pollution has become a serious problem in all megacities. It is necessary to continuously monitor the state of the atmosphere, but pollution data received using fixed stations are not sufficient for an accurate assessment of the aerosol pollution level of the air. Mobility in measuring devices can significantly increase the spatiotemporal resolution of the received data. Unfortunately, the quality of readings from mobile, low-cost sensors is significantly inferior to stationary sensors. This makes it necessary to evaluate the various characteristics of monitoring systems depending on the properties of the mobile sensors used. This paper presents an approach in which the time of pollution detection is considered a random variable. To the best of our knowledge, we are the first to deduce the cumulative distribution function of the pollution detection time depending on the features of the monitoring system. The obtained distribution function makes it possible to optimize some characteristics of air pollution detection systems in a smart city.","url":"https://pubmed.ncbi.nlm.nih.gov/35808264/","authors":["Shakhov V","Materukhin A","Sokolova O","Koo I"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2022 Jun 24","doi":"10.3390/s22134767","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:43.695Z"},{"id":"pmid:35730277","name":"Taxi services and the carsharing alternative: a case study of valencia city.","source":"pubmed","abstract":"The public's awareness of pollution in cities is growing. The decrease of carbon dioxide emissions from the use of fossil-fuel-powered cars stands out among the different viable alternatives. To this purpose, more sustainable options, such as carsharing fleets, could be used to replace private automobiles and other services such as taxis. This type of vehicle, which is usually electric, is becoming more common in cities, providing a green mobility option. In this research, we use multi-agent simulations to examine the efficiency of the current taxi fleet in Valencia. After that, we evaluate various carsharing fleet arrangements. Our findings demonstrate the possibility for a mix of the two types of fleets to meet present demand while also improving the city's sustainability.","url":"https://pubmed.ncbi.nlm.nih.gov/35730277/","authors":["Martí P","Jordán J","Chamoso P","Julian V"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2022 Apr 29","doi":"10.3934/mbe.2022314","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:43.695Z"},{"id":"pmid:35713838","name":"The new WHO air quality guidelines for PM(2.5): predicament for small/medium cities.","source":"pubmed","abstract":"The global burden of disease estimated that approximately 7.1 million deaths worldwide were related to air pollution in 2016. However, only a limited number of small- and middle-sized cities have air quality monitoring networks. To date, air quality in terms of particulate matter is still mainly focused on mass concentration, with limited compositional monitoring even in mega cities, despite evidence indicating differential toxicity of particulate matter. As this evidence is far from conclusive, we conducted PM 2.5 bioaccessibility studies of potentially harmful elements in a medium-sized city, Londrina, Brazil. The data was interpreted in terms of source apportionment, the health risk evaluation and the bioaccessibility of inorganic contents in an artificial lysosomal fluid. The daily average concentration of PM 2.5 was below the WHO guideline, however, the chemical health assessment indicated a considerable health risk. The in vitro evaluation showed different potential mobility when compared to previous studies in large-sized cities, those with 1 million inhabitants or more (Curitiba and Manaus). The new WHO guideline for PM 2.5 mass concentration puts additional pressure on cities where air pollution monitoring is limited and/or neglected, because decision making is mainly revenue-driven and not socioeconomic-driven. Given the further emerging evidence that PM chemical composition is as, or even more, important than mass concentration levels, the research reported in the paper could pave the way for the necessary inter- and intra-city collaborations that are needed to address this global health challenge.","url":"https://pubmed.ncbi.nlm.nih.gov/35713838/","authors":["Polezer G","Potgieter-Vermaak S","Oliveira A","Martins LD","Santos-Silva JC","Moreira CAB","Pauliquevis T","Godoi AFL","Tadano Y","Yamamoto CI","Godoi RHM"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2023 May","doi":"10.1007/s10653-022-01307-8","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:43.695Z"},{"id":"pmid:35682517","name":"Machine Learning and Meteorological Normalization for Assessment of Particulate Matter Changes during the COVID-19 Lockdown in Zagreb, Croatia.","source":"pubmed","abstract":"In this paper, the authors investigated changes in mass concentrations of particulate matter (PM) during the Coronavirus Disease of 2019 (COVID-19) lockdown. Daily samples of PM 1 , PM 2.5 and PM 10 fractions were measured at an urban background sampling site in Zagreb, Croatia from 2009 to late 2020. For the purpose of meteorological normalization, the mass concentrations were fed alongside meteorological and temporal data to Random Forest (RF) and LightGBM (LGB) models tuned by Bayesian optimization. The models' predictions were subsequently de-weathered by meteorological normalization using repeated random resampling of all predictive variables except the trend variable. Three pollution periods in 2020 were examined in detail: January and February, as pre-lockdown, the month of April as the lockdown period, as well as June and July as the \"new normal\". An evaluation using normalized mass concentrations of particulate matter and Analysis of variance (ANOVA) was conducted. The results showed that no significant differences were observed for PM 1 , PM 2.5 and PM 10 in April 2020-compared to the same period in 2018 and 2019. No significant changes were observed for the \"new normal\" as well. The results thus indicate that a reduction in mobility during COVID-19 lockdown in Zagreb, Croatia, did not significantly affect particulate matter concentration in the long-term..","url":"https://pubmed.ncbi.nlm.nih.gov/35682517/","authors":["Lovrić M","Antunović M","Šunić I","Vuković M","Kecorius S","Kröll M","Bešlić I","Godec R","Pehnec G","Geiger BC","Grange SK","Šimić I"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2022 Jun 6","doi":"10.3390/ijerph19116937","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:43.695Z"},{"id":"pmid:35679943","name":"Significant reduction of ultrafine particle emission fluxes to the urban atmosphere during the COVID-19 lockdown.","source":"pubmed","abstract":"The worldwide restrictions of social contacts that were implemented in spring 2020 to slow down infection rates of the SARS-CoV-2 virus resulted in significant modifications in mobility behaviour of urban residents. We used three-year eddy covariance measurements of size-resolved particle number fluxes from an urban site in Berlin to estimate the effects of reduced traffic intensity on particle fluxes. Similar observations of urban surface-atmosphere exchange of size-resolved particles that focus on COVID-19 lockdown-related effects are not available, yet. Although the site remained a net emission source for ultrafine particles (UFP, D p &#xa0;&lt;&#xa0;100&#xa0;nm), the median upward flux of ultrafine particles (F UFP ) decreased from 8.78&#xa0;&#xd7;&#xa0;10 7 &#xa0;m -2 &#xa0;s -1 in the reference period to 5.44&#xa0;&#xd7;&#xa0;10 7 &#xa0;m -2 &#xa0;s -1 during the lockdown. This was equivalent to a relative reduction of -38&#xa0;% for median F UFP , which was similar to -35&#xa0;% decrease of road traffic intensity in the flux source area during that period. The size-resolved analysis demonstrated that, on average, net deposition of UFP occurred only during night when particle emission source strength by traffic was at its minimum, whereas accumulation mode particles (100&#xa0;nm&#xa0;&lt;&#xa0;D p &#xa0;&lt;&#xa0;200&#xa0;nm) showed net deposition also during daytime. The results indicate the benefits of traffic reductions as a mitigation strategy to reduce UFP emissions to the urban atmosphere.","url":"https://pubmed.ncbi.nlm.nih.gov/35679943/","authors":["Straaten A","Meier F","Scherer D","Weber S"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2022 Sep 10","doi":"10.1016/j.scitotenv.2022.156516","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:43.695Z"},{"id":"pmid:35665455","name":"Urban air quality in Xinjiang and snow chemistry of Urumqi Glacier No. 1 during COVID-19's restrictions.","source":"pubmed","abstract":"The unprecedented COVID-19 outbreak impacted the world in many aspects. Air pollutants were largely reduced in cities worldwide in 2020. Using samples from two snow pits dug separately in 2019 and 2020 in Urumqi Glacier No. 1 (UG1) in the Xinjiang Uygur Autonomous Region (Xinjiang), China, we measured water-stable isotopes, soluble ions, and black and organic carbon (BC and OC). Both carbon types show no significant variations in the snow-pit profiles dated from 2018 through 2020. The deposition of anthropogenically induced soluble ions (K + , Cl - , SO 4 2- , and NO 3 - ) in the snow decreased to 20-40% of their respective concentrations between 2019 and 2020; however, they increased 2- to fourfold from 2018 to 2019. We studied the daily concentrations of SO 2 (2019-2020), NO 2 (2015-2020), CO (2019-2020), and PM 2.5 (2019-2020) measured in the sixteen major cities and towns across Xinjiang. The variabilities in these air pollutants were supposed to illustrate the air quality in the urban area and represent the change in the source area. The NO 2 decreased in response to mobility restrictions imposed by local governments, while SO 2 , CO, and PM 2.5 did not consistently correspond. This difference indicates that the restriction measures primarily affected traffic. The increases in chemical species in the snow from 2018 to 2019 and the subsequent decreases from 2019 to 2020 were consistent with the variations in SO 2 and NO 2 measured in urban air and estimated by MERRA-2 model. Therefore, the pandemic could possibly have an impact on snow chemistry of the Tien-Shan glaciers via reduced traffic and industrial intensity; more evidence would be obtained from ice cores, tree rings, and other archives in the future.","url":"https://pubmed.ncbi.nlm.nih.gov/35665455/","authors":["Wang F","Zhang X","Wang F","Song M","Li Z","Ming J"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2022 Oct","doi":"10.1007/s11356-022-21167-0","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:43.695Z"},{"id":"pmid:35651572","name":"Challenges and Approaches to Green Social Prescribing During and in the Aftermath of COVID-19: A Qualitative Study.","source":"pubmed","abstract":"The last decade has seen a surge of interest and investment in green social prescribing, however, both healthcare and social enterprise has been impacted by the COVID-19 crisis, along with restricted access to public green spaces. This study examines the challenges and opportunities of delivering green social prescribing during and in the aftermath of COVID-19, in the light of goals of green social prescribing to improve mental health outcomes and reduce health inequalities. Thirty-five one-to-one interviews were conducted between March 2020 and January 2022. Interviewees included Link Workers and other social prescribers, general practitioners (GPs), managers, researchers, and volunteers working in urban and rural Scotland and North East England. Interview transcripts were analyzed in stages, with an inductive approach to coding supported by NVivo. Findings revealed a complex social prescribing landscape, with schemes funded, structured, and delivered diversely. Stakeholders were in general agreement about the benefits of nature-based interventions, and GPs and volunteers pointed out numerous benefits to participating in schemes such as parkrun. Link Workers were more circumspect about suggesting outdoor activities, pointing out both psychological and practical obstacles, including health anxieties, mobility issues, and transport deficits. Exacerbated by the pandemic, there was a way to go before older and/multi-morbidity clients (their largest cohort) would feel comfortable and safe to socialize in open air spaces. Our findings support the premise that time spent in open green spaces can alleviate some of the negative mental health effects compounded by the pandemic. However, the creation of healthy environments is complex with population health intrinsically related to socioeconomic conditions. Social disadvantage, chronic ill health and health crises all limit easy access to green and blue spaces, while those in the most socially economically deprived areas receive the lowest quality of healthcare. Such health inequities need to be borne in mind in the planning of schemes and claims around the potential of future nature-based interventions to reduce health inequalities.","url":"https://pubmed.ncbi.nlm.nih.gov/35651572/","authors":["Fixsen A","Barrett S"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2022","doi":"10.3389/fpsyg.2022.861107","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:43.695Z"},{"id":"pmid:35574160","name":"Traffic and Pollution Modelling for Air Quality Awareness: An Experience in the City of Zaragoza.","source":"pubmed","abstract":"Air pollution due to the presence of small particles and gases in the atmosphere is a major cause of health problems. In urban areas, where most of the population is concentrated, traffic is a major source of air pollutants (such as nitrogen oxides or NO x and carbon monoxide or CO). Therefore, for smart cities, carrying out an adequate traffic monitoring is a key issue, since it can help citizens to make better decisions and public administrations to define appropriate policies. Thus, citizens could use these data to make appropriate mobility decisions. In the same way, a city council can exploit the collected data for traffic management and for the establishment of suitable traffic policies throughout the city, such as restricting the traffic flow in certain areas. For this purpose, a suitable modelling approach that provides the estimated/predicted values of pollutants at each location is needed. In this paper, an approach followed to model traffic flow and air pollution dispersion in the city of Zaragoza (Spain) is described. Our goal is to estimate the air quality in different areas of the city, to raise awareness and help citizens to make better decisions; for this purpose, traffic data play an important role. In more detail, the proposal presented includes a traffic modelling approach to estimate and predict the amount of traffic at each road segment and hour, by combining historical measurements of real traffic of vehicles and the use of the SUMO traffic simulator on real city roadmaps, along with the application of a trajectory generation strategy that complements the functionalities of SUMO (for example, SUMO's calibrators). Furthermore, a pollution modelling approach is also provided, to estimate the impact of traffic flows in terms of pollutants in the atmosphere: an R package called Vehicular Emissions INventories (VEIN) is used to estimate the amount of NO x generated by the traffic flows by taking into account the vehicular fleet composition (i.e., the types of vehicles, their size and the type of fuel they use) of the studied area. Finally, considering this estimation of NO x , a service capable of offering maps with the prediction of the dispersion of these atmospheric pollutants in the air has been established, which uses the Graz Lagrangian Model (GRAL) and takes into account the meteorological conditions and morphology of the city. The results obtained in the experimental evaluation of the proposal indicate a good accuracy in the modelling of traffic flows, whereas the comparison of the prediction of air pollutants with real measurements shows a general underestimation, due to some limitations of the input data considered. In any case, the results indicate that this first approach can be used for forecasting the air pollution within the city.","url":"https://pubmed.ncbi.nlm.nih.gov/35574160/","authors":["Ilarri S","Trillo-Lado R","Marrodán L"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2022","doi":"10.1007/s42979-022-01105-0","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:43.695Z"},{"id":"pmid:35506000","name":"The impact of the COVID-19 pandemic on air pollution: A global assessment using machine learning techniques.","source":"pubmed","abstract":"In response to the COVID-19 pandemic, most countries implemented public health ordinances that resulted in restricted mobility and a resultant change in air quality. This has provided an opportunity to quantify the extent to which carbon-based transport and industrial activity affect air quality. However, quantification of these complex effects has proven to be difficult, depending on the stringency of restrictions, country-specific emission source profiles, long-term trends and meteorological effects on atmospheric chemistry, emission levels and in-flow from nearby countries. In this study, confounding factors were disentangled for a direct comparison of pandemic-related reductions in absolute pollutions levels, globally. The non-linear relationships between atmospheric processes and daily ground-level NO 2 , PM 10 , PM 2.5 and O 3 measurements were captured in city- and pollutant-specific XGBoost models for over 700 cities, adjusting for weather, seasonality and trends. City-level modelling allowed adaptation to the distinct topography, urban morphology, climate and atmospheric conditions for each city, individually, as the weather variables that were most predictive varied across cities. Pollution forecasts for 2020 in absence of a pandemic were generated based on weather and formed an ensemble for country-level pollution reductions. Findings were robust to modelling assumptions and consistent with various published case studies. NO 2 reduced most in China, Europe and India, following severe government restrictions as part of the initial lockdowns. Reductions were highly correlated with changes in mobility levels, especially trips to transit stations, workplaces, retail and recreation venues. Further, NO 2 did not fully revert to pre-pandemic levels in 2020. Ambient PM 2.5 pollution, which has severe adverse health consequences, reduced most in China and India. Since positive health effects could be offset to some extent by prolonged exposure to indoor pollution, alternative transport initiatives could prove to be an important pathway towards better health outcomes in these countries. Increased O 3 levels during initial lockdowns have been documented widely. However, our analyses also found a subsequent reduction in O 3 for many countries below what was expected based on meteorological conditions during summer months (e.g., China, United Kingdom, France, Germany, Poland, Turkey). The effects in periods with high O 3 levels are especially important for the development of effective mitigation strategies to improve health outcomes.","url":"https://pubmed.ncbi.nlm.nih.gov/35506000/","authors":["Wijnands JS","Nice KA","Seneviratne S","Thompson J","Stevenson M"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2022 Jun","doi":"10.1016/j.apr.2022.101438","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:43.695Z"},{"id":"pmid:35500488","name":"How can the built environment affect the impact of autonomous vehicles' operational behaviour on air quality?","source":"pubmed","abstract":"Autonomous vehicles (AVs) are pointed out as the technology that will reshape the concept of mobility, with significant implications for the economy, the environment, and society. This fact will bring new challenge to cities urban planning. Research to anticipate the AVs impacts, maximizing their benefits and reduce trade-offs are currently crucial. This work investigates the potential challenges and benefits of gradually replace internal combustion engine human driven vehicles with different penetration rates of AVs - 10%, 30%, 50%, 70%, 90%, and 100% - in urban roads of different characteristics, either in terms of traffic singularities or volumes, and its related implications on air quality. For that purpose, two urban areas with distinct features, Porto and Aveiro, were selected as case studies, and a modelling setup composed of a traffic model, an emission model, and a local air quality model was applied. The results revealed that the AVs benefits are directly linked with the urban design and the road characteristics. In the Aveiro case study, the AVs promoted positive changes with average reductions in daily NOx emissions (compared with the baseline scenario, without AVs) ranging between -2.1% (for C10%) and -7.7% (for C100%). In line with the emissions impacts, positive effects were found on air quality, with average reductions of NO 2 concentrations up to -4% (for C100%). In Porto urban area, slight differences in NOx emissions were obtained (&lt;2%), which implied no changes in the air quality levels. The distinct impact of AVs in the study areas is mostly explained by the traffic light coordination system and directional split distributions in the main roads. These results provide valuable insights to support decision-makers in the definition of strategies that allow the integration of these new emerging technologies in the road infrastructure, considering the features of the urban design, traffic profile and road characteristics.","url":"https://pubmed.ncbi.nlm.nih.gov/35500488/","authors":["Rafael S","Fernandes P","Lopes D","Rebelo M","Bandeira J","Macedo E","Rodrigues M","Coelho MC","Borrego C","Miranda AI"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2022 Aug 1","doi":"10.1016/j.jenvman.2022.115154","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:43.695Z"},{"id":"pmid:35495092","name":"Exploring the impact of mobility restrictions on the COVID-19 spreading through an agent-based approach.","source":"pubmed","abstract":"The recent health emergency caused by the COVID-19 pandemic forced people to change their mobility habits, with the reduction of non-essential travels and the promotion online activities. During the first phase of the emergency in 2020, governments considered several mobility restrictions to avoid the pandemic diffusion. However, it is difficult to quantify the actual effects of these restrictions on the virus spreading, especially due to the biased data available. Notwithstanding the big role of data analysis to understand the pandemic phenomenon, it is also important to have more general models capable of predicting the impact of different policy scenarios, including territorial parameters, independently from the available infection data. In this respect, this paper proposes an agent-based model to simulate the impact of mobility restrictions on the spreading of the COVID-19 at a large scale level, by considering different factors that can be attributed to the diffusion and lethality of the virus and population mobility patterns.","url":"https://pubmed.ncbi.nlm.nih.gov/35495092/","authors":["Fazio M","Pluchino A","Inturri G","Le Pira M","Giuffrida N","Ignaccolo M"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2022 Jun","doi":"10.1016/j.jth.2022.101373","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:43.695Z"},{"id":"pmid:35492030","name":"COVID-19 lockdown as an opportunity to rethink urban freight distribution: Lessons from the Barcelona metropolitan area.","source":"pubmed","abstract":"The COVID-19 health crisis has had a strong impact on societies around the world, affecting both the health of populations and countries' economies. While lockdowns imposed to stop the spread of infection reduced urban mobility and had a positive impact on air quality, lowering the emission of polluting particles and greenhouse gases, they had the opposite effect on urban freight distribution (UFD). With the population remaining at home, ecommerce-driven shipments surged, and total freight traffic increased. In order to have a better understanding of this phenomenon, the aim of this study was to identify the impact of COVID-19 lockdowns on the daily operation of the region's main logistics agents. Lessons learned from this cyclical scenario could be used to define more sustainable public policies regarding UFD in the post-COVID era. To meet the above objectives, semi-structured interviews were conducted with public administrations and private operators, before being transcribed and encoded for later analysis. The results of our study show that common problems in UFD, such as traffic congestion or problems finding parking in the loading and unloading (L/U) zones, temporarily disappeared during the lockdown phase. Delivery times were consequently reduced, despite an increase in operations due to ecommerce. In addition, the public administrations took advantage of this situation to adapt the urban space and force a transition towards new delivery systems, such as cargo-bikes, to guarantee sustainable last-mile operations in specific zones.","url":"https://pubmed.ncbi.nlm.nih.gov/35492030/","authors":["Castillo C","Viu-Roig M","Alvarez-Palau EJ"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2022 Jun","doi":"10.1016/j.trip.2022.100605","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:43.695Z"},{"id":"pmid:40479223","name":"The effect of COVID-19 on long-distance transport services in France.","source":"pubmed","abstract":"This paper explores the effect of COVID-19 on long-distance transport services in France. These services have been deeply impacted by the different lockdowns imposed. However, until now, few papers have considered this topic. The research examines the long-distance transportation market before COVID-19 to understand how it adapted to the COVID-19 countermeasures. The empirical research is based on a large pool of data pertaining to four transport routes in France from September 2019 to November 2021 for four modes (coach, carpooling, train, and air). Prices and frequencies are the main variables. The study's results must be considered carefully because the pandemic is ongoing. The first finding is the severe crisis in terms of supply during the first lockdown in March 2020. Throughout the rest of 2020 and 2021, services increased slowly, with rail and carpooling recovering to almost their 2019 levels, though this is not yet the case for coach and air services. The second finding is that the dominant mode, rail, enjoys the greatest market concentration, especially in comparison to air, which is still experiencing difficulties because of the reduction in the business market. The last finding highlights the persistence of conventional services during the different lockdowns and the high variability of low-cost services, which disappeared during the crisis. However, mainly thanks to state financial support, no operator went bankrupt or left the market. Finally, low-cost services were recovering faster in autumn 2021 than conventional services, thereby increasing their market share. The crisis in the business market may explain the difficulty conventional services face whereas low-cost services are better adapted to the leisure market.","url":"https://pubmed.ncbi.nlm.nih.gov/40479223/","authors":["Laroche F"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2022 Apr 25","doi":"10.1111/rsp3.12534","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:43.695Z"},{"id":"pmid:35446711","name":"Environmental inequality in the neighborhood networks of urban mobility in US cities.","source":"pubmed","abstract":"Research has made clear that neighborhoods impact the health and well-being of their residents. A related strand of research shows that neighborhood disadvantage is geographically clustered. Because the neighborhoods of low-income and minority populations tend to be more disadvantaged, neighborhood conditions help explain racial and socioeconomic inequalities. These strands of research restrict processes of neighborhood influence to operate only within and between geographically contiguous neighbors. However, we are underestimating the role of neighborhood conditions in explaining inequality if disadvantage extends beyond the residential and extralocal environments into a network of neighborhoods spanning the urban landscape based on where residents move within a city. I use anonymized mobile phone data to measure exposure to air pollution among residents of poor and minority neighborhoods in 88 of the most populous US cities. I find that residents from minority and poor neighborhoods travel to neighborhoods that have greater air pollution levels than the neighborhoods that residents from White and nonpoor neighborhoods visit. Hispanic neighborhoods exhibit the greatest overall pollution burden, Black/White and Asian/White disparities are greatest at the network than residential scale, and the socioeconomic advantage of lower risk exposure is highest for residents from White neighborhoods. These inequalities are notable given recent declines in segregation and air pollution levels in American cities.","url":"https://pubmed.ncbi.nlm.nih.gov/35446711/","authors":["Brazil N"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2022 Apr 26","doi":"10.1073/pnas.2117776119","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:43.695Z"},{"id":"pmid:35440861","name":"Long-term commuting times and air quality relationship to COVID-19 in São Paulo.","source":"pubmed","abstract":"The Coronavirus Disease 2019 (COVID-19) epidemic is an unprecedented global health crisis and the effects may be related to environmental and socio-economic factors. In S&#xe3;o Paulo, Brazil, the first death occurred in March 2020 and since then the numbers have grown to 175 new deaths per day in April 2021, positioning the city as the epicenter of the number of cases and deaths in Brazil. S&#xe3;o Paulo is one of the largest cities in the world with more than 12 million inhabitants, a fleet of about 8 million vehicles and frequent pollutant concentrations above recommended values. Social inequalities are evident in the municipality, similarly to other cities in the world. This paper focuses on transportation activities related to air pollution and associated with cardiovascular and respiratory diseases especially on people who developed comorbidities during their whole life. This study relates travel trip data to air quality analysis and expanded to COVID-19 disease. This work studied the relationship of deaths in S&#xe3;o Paulo due to COVID-19 with demographic density, with family income, with the use of public transport and with atmospheric pollution for the period between March 17th, 2020 and April 29th, 2021. The main results showed that generally passenger kilometers traveled, commuting times and air quality related diseases increase with residential distance from the city center, and thus, with decreasing residential density. PM 2.5 concentrations are positively correlated with COVID-19 deaths, regions with high urban densities have higher numbers of deaths and long-distance frequent trips can contribute to spread of the disease.","url":"https://pubmed.ncbi.nlm.nih.gov/35440861/","authors":["Pérez-Martínez PJ","Dunck JA","de Assunção JV","Connerton P","Slovic AD","Ribeiro H","Miranda RM"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2022 May","doi":"10.1016/j.jtrangeo.2022.103349","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:43.695Z"},{"id":"pmid:35432626","name":"Decomposing the Temporal Signature of Nitrogen Dioxide Declines during the COVID-19 Pandemic in UK Urban Areas.","source":"pubmed","abstract":"On March 23, 2020, a national lockdown was imposed in the UK to limit interpersonal contact and the spread of COVID-19. Human mobility patterns were drastically adjusted as individuals complied with stay-at-home orders, changed their working patterns, and moved increasingly in the proximity of their home. Such behavioural changes brought about many spillover impacts, among which the sharp and immediate reduction in the concentration of nitrogen-based pollutants throughout the country. This work explores the extent to which urban Nitrogen Dioxide (NO 2 ) concentration responds to changes in human behaviour, in particular human mobility patterns and commuting. We model the dynamic and responsive change in NO 2 concentration in the period directly following national lockdown and respective opening orders. Using the national urban air quality monitoring network we generate a synthetic NO 2 concentration series built from a time series of historic data to compare expected modelled trends to the actual observed patterns in 2020. A series of pre- and post-estimators are modelled to understand the scale of concentration responsiveness to human activity and varying ability of areas across the UK to comply with the lockdown closing and response to openings. Specifically, these are linked to workday commuting times and observed patterns of human mobility change obtained from Google mobility reports. We find a strong and robust co-movement of air pollution concentration and work-related mobility - concentrations of NO 2 during typical weekday commuting hours saw a higher relative drop, moving in tandem with patterns of human mobility around workplaces over the course of lockdowns and openings. While NO 2 concentrations remained relatively low around the time of reopening, particularly during commuting hours, there is a relatively fast responsiveness rate to concentrations increasing quickly in line with human activity. With one of the key Government advice for workers to take staggered transportation into work and lessen the burden of rush hours and adopting more flexible work-home arrangements, our results would suggest that reductions in NO 2 in urban areas are particularly responsive to broader human patterns and dynamics over time as we transitioned towards new working routines.","url":"https://pubmed.ncbi.nlm.nih.gov/35432626/","authors":["Calafiore A","Macdonald JL","Singleton A"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2022","doi":"10.1007/s12061-022-09438-2","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:43.695Z"},{"id":"pmid:35405241","name":"Changes in metal adsorption ability of microplastics upon loss of calcium carbonate filler masterbatch through natural aging.","source":"pubmed","abstract":"CaCO 3 filler masterbatch (CFM) is one of the most commonly used fillers in polypropylene (PP) and polyethylene (PE) products, and its is used to enhance the toughness of the polymer matrix. This is the first study to investigate the loss of CaCO 3 and its impact on the adsorption ability of microplastics from plastic woven bags throughout the natural aging process. PP wire (PPw, 85% PP + 15% CFM) and PE film (PEf, 80% PE + 20% CFM) samples from plastic woven bags underwent a 250 d aging process in an open-air environment. Changes in the surface properties, morphology, CaCO 3 content, and density of PPw microplastics (PPw-MP) and PEf microplastics (PEf-MP) after various durations of aging were investigated by scanning electron microscopy, infrared spectroscopy, and thermogravimetric analysis. The results showed that CaCO 3 separated and agglomerated on the surfaces of PPw-MP and PEf-MP after 30 d. After 250 d, 42% of CaCO 3 was lost from PPw-MP and 28% was lost from PEf-MP, decreasing the density of the microplastic samples. CFM presented a considerably higher adsorption affinity toward Cu(II) than PP particles and PE particles; therefore, its presence in plastic matrix increased the adsorption ability of the products. The adsorption of Cu(II) on PPw-MP and PEf-MP decreased with aging because of the loss of CaCO 3 and poor development of O-containing functional groups. The q m value (maximum adsorption quantity of Langmuir model) decreased from 11.01 mg/g in unaged PPw-MP to 1.35 mg/g in aged PPw-MP, and from 9.00 mg/g in unaged PEf-MP to 1.05 mg/g in aged PEf-MP. Overall, the findings demonstrate that CaCO 3 was crucial for the heavy metal-plastic interactions of the samples. Therefore, the results provide a basis to further clarify the potential environmental risks of plastic woven bags associated with heavy metal mobility.","url":"https://pubmed.ncbi.nlm.nih.gov/35405241/","authors":["Zhou J","Chen H","Guo Y","Chen Q","Ren H","Tao Y"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2022 Aug 1","doi":"10.1016/j.scitotenv.2022.155142","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:43.695Z"},{"id":"pmid:35329214","name":"Theoretical Model and Actual Characteristics of Air Pollution Affecting Health Cost: A Review.","source":"pubmed","abstract":"The impact of environmental pollution (such as air pollution) on health costs has received a great deal of global attention in the last 20 years.","url":"https://pubmed.ncbi.nlm.nih.gov/35329214/","authors":["Xu X","Yang H","Li C"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2022 Mar 16","doi":"10.3390/ijerph19063532","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:43.695Z"},{"id":"pmid:35318060","name":"Direct observations of CO(2) emission reductions due to COVID-19 lockdown across European urban districts.","source":"pubmed","abstract":"The measures taken to contain the spread of COVID-19 in 2020 included restrictions of people's mobility and reductions in economic activities. These drastic changes in daily life, enforced through national lockdowns, led to abrupt reductions of anthropogenic CO 2 emissions in urbanized areas all over the world. To examine the effect of social restrictions on local emissions of CO 2 , we analysed district level CO 2 fluxes measured by the eddy-covariance technique from 13 stations in 11 European cities. The data span several years before the pandemic until October 2020 (six months after the pandemic began in Europe). All sites showed a reduction in CO 2 emissions during the national lockdowns. The magnitude of these reductions varies in time and space, from city to city as well as between different areas of the same city. We found that, during the first lockdowns, urban CO 2 emissions were cut with respect to the same period in previous years by 5% to 87% across the analysed districts, mainly as a result of limitations on mobility. However, as the restrictions were lifted in the following months, emissions quickly rebounded to their pre-COVID levels in the majority of sites.","url":"https://pubmed.ncbi.nlm.nih.gov/35318060/","authors":["Nicolini G","Antoniella G","Carotenuto F","Christen A","Ciais P","Feigenwinter C","Gioli B","Stagakis S","Velasco E","Vogt R","Ward HC","Barlow J","Chrysoulakis N","Duce P","Graus M","Helfter C","Heusinkveld B","Järvi L","Karl T","Marras S","Masson V","Matthews B","Meier F","Nemitz E","Sabbatini S","Scherer D","Schume H","Sirca C","Steeneveld GJ","Vagnoli C","Wang Y","Zaldei A","Zheng B","Papale D"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2022 Jul 15","doi":"10.1016/j.scitotenv.2022.154662","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:43.695Z"},{"id":"pmid:35310684","name":"Traffic restrictions during COVID-19 lockdown improve air quality and reduce metal biodeposition in tree leaves.","source":"pubmed","abstract":"The coronavirus disease (COVID-19) has had a great global impact on human health, the life of people, and economies all over the world. However, in general, COVID-19&#xb4;s effect on air quality has been positive due to the restrictions on social and economic activity. This study aimed to assess the impact on air quality and metal deposition of actions taken to reduce mobility in 2020 in two different urban locations. For this purpose, we analysed air pollution (NO 2 , NO, NO x , SO 2, CO, PM 10, O 3 ) and metal accumulation in leaves of Tilia cordata collected from April to September 2020 in two cities in northern Spain (Pamplona-PA and San Sebasti&#xe1;n-SS). We compared their values with data from the previous year (2019) (in which there were no mobility restrictions) obtained under an identical experimental design. We found that metal accumulation was mostly lower during 2020 (compared with 2019), and lockdown caused significant reductions in urban air pollution. Nitrogen oxides decreased by 33%-44%, CO by 24%-38%, and PM 10 by 16%-24%. The contents of traffic-related metals were significantly reduced in both studied cities. More specifically, significant decreases in metals related to tyre and brake wear (Zn, Fe, and Cu) and road dust resuspension (Al, Ti, Fe, Mn, and Ca) were observed. With these results, we conclude that the main reason for the improvement in urban air pollutants and metals was the reduction in the use of cars due to COVID-19 lockdown. In addition, we offer some evidence indicating the suitability of T. cordata leaves as a tool for biomonitoring metal accumulation . This information is relevant for future use by the scientific community and policy makers to implement measures to reduce traffic air pollution in urban areas and to improve environmental and human health.","url":"https://pubmed.ncbi.nlm.nih.gov/35310684/","authors":["Soba D","Gámez AL","Becerril JM","Esteban R","Aranjuelo I"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2022 Apr","doi":"10.1016/j.ufug.2022.127542","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:43.695Z"},{"id":"pmid:35280455","name":"Prediction Tool on Fine Particle Pollutants and Air Quality for Environmental Engineering.","source":"pubmed","abstract":"This article focuses on the research, design and implementation of a prediction tool for air quality to estimate pollutant concentrations, contributing to environmental engineering. It addresses prediction of fine particle air pollutants of diameter less than 2.5&#xa0;&#xb5;m (particulate matter 2.5), their concentration being substantially influenced by urban traffic. We collect worldwide multicity data from health-related public sources on which mining is performed using classical data mining/machine learning paradigms: association rules, clustering and classification. Challenges include adapting appropriate techniques based on data, and capturing subtle domain-specific aspects. The prediction tool is built using knowledge discovered by mining, leveraging health standards, catering to novice, intermediate and expert users. The prediction output is accurate, efficient, interpretable and useful as evident from our experiments. The tool is helpful for urban decision support. This work is beneficial in developing software systems such as intelligent tutors, mobile device apps and smart city tools. It contributes to smart environment, mobility and living, making a positive impact on smart cities and sustainability. In this work, we claim that classical computational paradigms in their fundamental form can be adapted to solve environmental engineering problems, with easy comprehension, as per the Occam's razor principle that advocates simplicity. This article constitutes applied research: using computational techniques to solve domain-specific problems. Future work includes exploring models in deep learning such as CNN and Bi-LSTM, and considering different types of pollutants as well as other sources besides multicity traffic data, to conduct further studies. This would address additional challenges with enhancements.","url":"https://pubmed.ncbi.nlm.nih.gov/35280455/","authors":["Varde AS","Pandey A","Du X"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2022","doi":"10.1007/s42979-022-01068-2","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:43.695Z"},{"id":"pmid:35270551","name":"A Methodological Approach to Use Contextual Factors for Epidemiological Studies on Chronic Exposure to Air Pollution and COVID-19 in Italy.","source":"pubmed","abstract":"The large availability of both air pollution and COVID-19 data, and the simplicity to make geographical correlations between them, led to a proliferation of ecological studies relating the levels of pollution in administrative areas to COVID-19 incidence, mortality or lethality rates. However, the major drawback of these studies is the ecological fallacy that can lead to spurious associations. In this frame, an increasing concern has been addressed to clarify the possible role of contextual variables such as municipalities' characteristics (including urban, rural, semi-rural settings), those of the resident communities, the network of social relations, the mobility of people, and the responsiveness of the National Health Service (NHS), to better clarify the dynamics of the phenomenon. The objective of this paper is to identify and collect the municipalities' and community contextual factors and to synthesize their information content to produce suitable indicators in national environmental epidemiological studies, with specific emphasis on assessing the possible role of air pollution on the incidence and severity of the COVID-19 disease. A first step was to synthesize the content of spatial information, available at the municipal level, in a smaller set of \"summary indexes\" that can be more easily viewed and analyzed. For the 7903 Italian municipalities (1 January 2020-ISTAT), 44 variables were identified, collected, and grouped into five information dimensions a priori defined: (i) geographic characteristics of the municipality, (ii) demographic and anthropogenic characteristics, (iii) mobility, (iv) socio-economic-health area, and (v) healthcare offer (source: ISTAT, EUROSTAT or Ministry of Health, and further ad hoc elaborations (e.g., OpenStreetMaps)). Principal component analysis (PCA) was carried out for the five identified dimensions, with the aim of reducing the large number of initial variables into a smaller number of components, limiting as much as possible the loss of information content (variability). We also included in the analysis PM 2.5 , PM 10 and NO 2 population weighted exposure (PWE) values obtained using a four-stage approach based on the machine learning method, \"random forest\", which uses space-time predictors, satellite data, and air quality monitoring data estimated at the national level. Overall, the PCA made it possible to extract twelve components: three for the territorial characteristics dimension of the municipality (variance explained 72%), two for the demographic and anthropogenic characteristics dimension (variance explained 62%), three for the mobility dimension (variance explained 83%), two for the socio-economic-health sector (variance explained 58%) and two for the health offer dimension (variance explained 72%). All the components of the different dimensions are only marginally correlated with each other, demonstrating their potential ability to grasp different aspects of the spatial distribution of the COVID-19 pathology. This work provides a national repository of contextual variables at the municipality level collapsed into twelve informative factors suitable to be used in studies on the association between chronic exposure to air pollution and COVID-19 pathology, as well as for investigations on the role of air pollution on the health of the Italian population.","url":"https://pubmed.ncbi.nlm.nih.gov/35270551/","authors":["Bauleo L","Giannini S","Ranzi A","Nobile F","Stafoggia M","Ancona C","Iavarone I","The EpiCovAir Study Group"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2022 Mar 1","doi":"10.3390/ijerph19052859","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:43.695Z"},{"id":"pmid:35257774","name":"Spatiotemporal representativeness of air pollution monitoring in Dublin, Ireland.","source":"pubmed","abstract":"The importance of selecting appropriate air pollution monitoring sites in a city is vital for accurately reporting air quality, enhancing the quality of high-resolution modelling and informing policy to implement measures to deliver cleaner air in the urban environment. COVID-19 restrictions impacted air quality in urban centres worldwide as reduced mobility led to changes in traffic-related air pollution (TRAP). As such, it offered a unique dataset to examine the spatial and temporal variations in air quality between monitoring stations in Dublin, Ireland. Firstly, an analysis of mobility data showed reductions across almost all sectors after COVID-19 restrictions came into place, which was expected to lower TRAP. In addition, similar changes in air quality were evident to other cities around the world: reductions in fine particulate matter (PM 2.5 ) and nitrogen dioxide (NO 2 ) concentrations and an increase in ozone (O 3 ) concentrations. Average daily and diurnal concentrations for these three pollutants presented more statistically significant spatial and temporal changes during COVID-19 restrictions at monitoring sites with urban or traffic classifications than suburban background sites. Furthermore, substantial reductions in the range of average hourly pollutant concentrations were observed, 79% for PM 2.5 and 75% for NO 2 , with a modest 24% reduction for O 3 . Correlation analysis of air pollution between monitoring sites and years demonstrated an improvement in the R 2 for NO 2 concentrations only, suggesting that spatiotemporal homogeneity was most notable for this TRAP due to mobility restrictions during COVID-19. The spatiotemporal representativeness of monitoring stations across the city will change with greener transport, and air quality during COVID-19 can provide a benchmark to support the introduction of new policies for cleaner air.","url":"https://pubmed.ncbi.nlm.nih.gov/35257774/","authors":["Perillo HA","Broderick BM","Gill LW","McNabola A","Kumar P","Gallagher J"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2022 Jun 25","doi":"10.1016/j.scitotenv.2022.154299","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:43.695Z"},{"id":"pmid:35257238","name":"Air quality improvement and its relation to mobility during COVID-19 lockdown in Marmara Region, Turkey.","source":"pubmed","abstract":"The outbreak of the novel coronavirus SARS-CoV-2 (hereafter COVID-19) has changed the daily routines of people around the world. When the first case was confirmed on 11 March 2020 in Turkey, the number of cases reached 4500 per day by 10 April in Turkey. Afterwards, the government declared more restrictive lockdown measures for 31 metropolitan cities starting 10 April, and it was implemented for the following weekends, national, and religious holidays. The change in concentrations of PM 10 , PM 2.5 , and NO 2 during these measures with respect to the pre-lockdown period, the same period in the previous years and for different levels of measures for the cities in the Marmara Region of Turkey was investigated in this study. The daily mean concentrations of PM 10 , PM 2.5 , and NO 2 obtained from 11 stations operated by the Ministry of Environment and Urbanization and Google mobility data are used in this study. Average PM 2.5 and NO 2 concentrations during the lockdown period declined with respect to the pre-lockdown period and the previous year for all stations. Average PM 10 concentrations during the lockdown of 8 of 11 stations declined, while the rest of the stations increased with respect to the pre-lockdown period. In 9 of the 11 stations, the average concentration of PM 10 decreased compared to the previous four years. In 7 of the 11 stations, the number of days exceeding WHO limit for PM 10 was decreased during the lockdown period with respect to the pre-lockdown period. For PM 2.5 , the number of days exceeding WHO limit was decreased during the lockdown period compared to the pre-lockdown period for all the stations. For NO 2 , the number of days exceeding WHO limit was decreased during the lockdown period compared to the pre-lockdown period for 7 of the 8 stations. There is a significant relationship between mobility decrease and NO 2 concentrations in large cities. The correlation coefficients are generally lower in small cities in the study region.","url":"https://pubmed.ncbi.nlm.nih.gov/35257238/","authors":["Efe B"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2022 Mar 7","doi":"10.1007/s10661-022-09889-7","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:43.695Z"},{"id":"pmid:35252496","name":"Survey data on public perceptions towards flying cars and flying taxi services.","source":"pubmed","abstract":"An online survey was conducted to evaluate public perceptions towards an emerging transportation technology, namely the flying car, which is expected to join the existing traffic fleet within the following decades. Responses from 692 survey participants were collected. Approximately 84% of the participants were from the United States, and the remaining 16% were from the rest of the world. The data resulting from the survey include several aspects of public perceptions towards flying cars, as for example: willingness to use and pay for flying cars; willingness to use and pay for flying taxi services; perceptions towards potential benefits and concerns arising from the future use of flying cars; perceptions towards considering residence relocation; and perceptions towards potential security measures to improve operational safety of flying cars. In addition, information relating to several dimensions of driving and travel behaviours and habits, and socio-demographic information of the participants were also collected. The dataset can be used as a baseline to design future surveys on Advanced Air Mobility (AAM) and flying cars, and to compare consumer perceptions across different regions and during different time periods.","url":"https://pubmed.ncbi.nlm.nih.gov/35252496/","authors":["Eker U","Fountas G","Ahmed SS","Anastasopoulos PC"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2022 Apr","doi":"10.1016/j.dib.2022.107981","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:43.695Z"},{"id":"pmid:35240183","name":"Particle number size distribution and new particle formation in Xiamen, the coastal city of Southeast China in wintertime.","source":"pubmed","abstract":"New particle formation (NPF) has a great impact on regional and global climate, air quality and human health. This study uses a Scanning Mobility Particle Sizer (SMPS) for simultaneous measurement of particle number size distribution (PNSD) in wintertime to investigate NPF in the coastal city of Xiamen. The mean particle number concentration, surface area concentration and volume concentration were 7.25 &#xd7; 10 3 cm -3 , 152.54 &#x3bc;m 2 cm -3 , and 4.03 &#x3bc;m 3 cm -3 , respectively. Particle number concentration was mainly influenced by the nucleation mode and the Aitken mode, whereas the main contributor to particle surface area concentration and volume concentration was accumulation mode particles. The frequency of NPF events occurred was around 41.4% in December 2019. The typical growth rates of new formed particles were 1.41-2.54 nm h -1 , and the observed formation rates were 0.49-1.43 cm -3 s -1 . A comparative analysis of conditions between event and non-event days was performed. The results emphasized that air temperature, UV radiation and relative humidity were the most decisive meteorological factors, and NPF events usually occurred under clean atmospheric conditions with low PM concentrations. Although condensation sink was high when NPF event occurred, the level of SO 2 and O 3 concentration was also high.","url":"https://pubmed.ncbi.nlm.nih.gov/35240183/","authors":["Wang J","Li M","Li L","Zheng R","Fan X","Hong Y","Xu L","Chen J","Hu B"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2022 Jun 20","doi":"10.1016/j.scitotenv.2022.154208","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:43.695Z"},{"id":"pmid:35240171","name":"The breathing human infrastructure: Integrating air quality, traffic, and social media indicators.","source":"pubmed","abstract":"Outdoor air pollution is a complex system that is responsible for the deaths of millions of people annually, yet the integration of interdisciplinary data necessary to assess air quality's multiple metrics is still lacking. This case study integrates atmospheric indicators (concentrations of criteria pollutants including particulate matter and gaseous pollutants), traffic indicators (permanent traffic monitoring station data), and social indicators (community responses in Twitter archives) representing the interplay of the three critical pillars of the United Nations' Triple Bottom Line: environment, economy, and society. During the watershed moment of the COVID-19 pandemic lockdowns in Florida, urban centers demonstrated the gaps and opportunities for understanding the relationships, through correlations rather than causations, between urban air quality, traffic emissions, and public perceptions. The relationship between the perception and the traffic variables were strongly correlated, however no correlation was observed between the perception and actual air quality indicators, except for NO 2 . These observations might consequently infer that traffic serves as people's proxy for air quality, regardless of actual air quality, suggesting that social media messaging around asthma may be a way to monitor traffic patterns in areas where no infrastructure currently exists or is prohibited to build. It also indicates that people are less likely to be reliable sensors to accurately measure air quality due to bias in their observations of traffic volume and/or confirmation biases in broader social discourse. Results presented herein are of significance in demonstrating the capacity for interdisciplinary studies to consider the predictive capacities of social media and air pollution, its use as both lever and indicator of public support for air quality legislation and clean-air transitions, and its ability to overcome limitations of surface monitoring stations.","url":"https://pubmed.ncbi.nlm.nih.gov/35240171/","authors":["O'Leary H","Parr S","El-Sayed MMH"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2022 Jun 25","doi":"10.1016/j.scitotenv.2022.154209","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:43.695Z"},{"id":"pmid:35179013","name":"Cascading effects of COVID-19 on population mobility and air quality: An exploration including place characteristics using geovisualization.","source":"pubmed","abstract":"This study hypothesizes that public health responses to coronavirus disease 2019 (COVID-19), including a mandated restriction of activity (commonly called a 'lockdown') resulted in reduced transportation activities and changes in air quality in Texas, USA. This presented a natural experiment where population mobility and air quality before and after the lockdown could be compared. Changes in mobility were measured by SafeGraph mobility data (from opt-in smart phone applications that transmit location data) and air quality changes were based on NO2 concentrations measured by the European Space Agency's Sentinel-5 Precursor satellite (from the TROPOspheric Monitoring Instrument). The changes in population mobility and NO2 concentration between mid-March 2020 (lockdown initiated) and the end of 2020, as compared to the same time window in 2019, were the basis of exploring the lockdown hypothesis. Additionally, numerous socio-economic (place based) indicators were hypothesized to follow public health vulnerability assumptions based on COVID- 19 incidence patterns. This hypothesis was subjected to geovisualization techniques in order to find potential patterns and insights into the complex combinations of these place-based data. Our results suggest that simultaneously visualizing COVID-19, mobility, air quality and socio-economic data yields insights in underlying spatial processes related to public health policy decisions. The hypothesis that the lockdown resulted in reduced mobility and NO2 concentrations was found partially correct - this trend was observed in highly urbanized areas, but not in less populated areas. Data related public health vulnerability assumptions (e.g. a region's age, poverty, education, etc.) were agreed with in part, but disagreed with in part.","url":"https://pubmed.ncbi.nlm.nih.gov/35179013/","authors":["Atkinson SF","Kala AK","Tiwari C"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2022 Feb 17","doi":"10.4081/gh.2022.1056","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:43.695Z"},{"id":"pmid:35101403","name":"Changes in stoichiometric characteristics of ambient air pollutants pre-to post-COVID-19 in China.","source":"pubmed","abstract":"To prevent the Corona Virus Disease 2019 (COVID-19) spreading, Chinese government takes a series of corresponding measures to restrict human mobility, including transportation lock-down and industries suspension, which significantly influenced the ambient air quality and provided vary rare time windows to assess the impacts of anthropological activities on air pollution. In this work, we divided the studied timeframe (2019/12/24-2020/2/24) into four periods and selected 88 cities from 31 representative urban agglomerations. The indicators of PM 2.5 /PM 10 and NO 2 /SO 2 were applied, for the first time, to analyze the changes in stoichiometric characteristics of ambient air pollutants pre-to post-COVID-19 in China. The results indicated that the ratios of NO 2 /SO 2 presented a responding decline, especially in YRD (-5.01), YH (-3.87), and MYR (-3.84), with the sharp reduction of traffic in post-COVID-19 periods (P3-P4: 2.34&#xa0;&#xb1;&#xa0;0.94&#xa0;m/m) comparing with pre-COVID-19 periods (P1-P2: 4.49&#xa0;&#xb1;&#xa0;2.03&#xa0;m/m). Whereas the ratios of PM 2.5 /PM 10 increased in P1-P3, then decreased in P4 with relatively higher levels (&gt;0.5) in almost all urban agglomerations. Furthermore, NO 2 presented a stronger association with PM 2.5 /PM 10 variation than CO; and PM 2.5 with NO 2 /SO 2 variation than PM 10 . In summary, the economic structure, lockdown measures and meteorological conditions could explain the noteworthy variations in different urban agglomerations. These results would be in great help for improving air quality in the post-epidemic periods.","url":"https://pubmed.ncbi.nlm.nih.gov/35101403/","authors":["Bai Y","Wang Z","Xie F","Cen L","Xie Z","Zhou X","He J","Lü C"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2022 Jun","doi":"10.1016/j.envres.2022.112806","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:43.695Z"},{"id":"pmid:35099404","name":"Assessment of Personal Exposure to Particulate Air Pollution in Different Microenvironments and Traveling by Several Modes of Transportation in Bogotá, Colombia: Protocol for a Mixed Methods Study (ITHACA).","source":"pubmed","abstract":"Air pollution in most countries exceeds the levels recommended by the World Health Organization, causing up to one-third of deaths due to noncommunicable diseases. Fine particulate matter (PM 2.5 ) and black carbon (BC) from mobile sources are the main contaminants.","url":"https://pubmed.ncbi.nlm.nih.gov/35099404/","authors":["Malagon-Rojas JN","Pinzón-Silva DC","Parra EL","Lagos M LF","Toloza-Perez YG","Hernández Florez LJ","Morales Betancourt R","Romero SA","Ríos Cabra AP","Sarmiento OL"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2022 Jan 31","doi":"10.2196/25690","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:43.695Z"},{"id":"pmid:35092764","name":"Life cycle assessment and economic analysis of the electric motorcycle in the city of Barcelona and the impact on air pollution.","source":"pubmed","abstract":"In this work, the evaluation of the life cycle of the service provided by a medium-power motorcycle in a Spanish urban environment was carried out, comparing two motorcycles, a battery electric vehicle (BEV) is compared with an internal combustion engine vehicle (ICEV). The economic study of the total costs of ownership is also carried out considering the environmental costs associated with each type of vehicle. A comprehensive inventory is compiled for both vehicles (motorcycles) that describes the most relevant components and includes two types of batteries for the BEV. A sensitivity analysis of the most impactful parameters is also considered. The results indicate that the ICEV contributes approximately 5 times more in the global warming potential impact category mainly due to the consumption of fossil fuels. The BEV also impacts some categories in the manufacturing stage, a fact that is strongly related to the battery. Sensitivity analysis indicates that the total distance travelled plays an important role, but the electricity mix is probably the most relevant factor in terms of climate change impact category. The economic analysis reported lower environmental externality costs for the BEV, making it more affordable than the ICEV and highlighting the benefit in terms of air pollution. The BEV is presented as a suitable option vehicle from environmental and economic point of view and one of the actors to accelerate the transition towards a more sustainable urban mobility model.","url":"https://pubmed.ncbi.nlm.nih.gov/35092764/","authors":["Carranza G","Do Nascimiento M","Fanals J","Febrer J","Valderrama C"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2022 May 15","doi":"10.1016/j.scitotenv.2022.153419","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:43.695Z"},{"id":"pmid:35086564","name":"Inhalable antibiotic resistomes emitted from hospitals: metagenomic insights into bacterial hosts, clinical relevance, and environmental risks.","source":"pubmed","abstract":"Threats of antimicrobial resistance (AMR) to human health are on the rise worldwide. Airborne fine particulate matter (PM 2.5 ), especially those emitted from hospitals, could serve as a substantial yet lesser-known environmental medium of inhalable antibiotic resistomes. A genome-centric understanding of the hosting bacterial taxa, mobility potential, and consequent risks of the resistomes is needed to reveal the health relevance of PM 2.5 -associated AMR from clinical settings.","url":"https://pubmed.ncbi.nlm.nih.gov/35086564/","authors":["Wu D","Jin L","Xie J","Liu H","Zhao J","Ye D","Li XD"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2022 Jan 27","doi":"10.1186/s40168-021-01197-5","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:43.695Z"},{"id":"pmid:35080881","name":"Assessing the Effectiveness of an Urban CO(2) Monitoring Network over the Paris Region through the COVID-19 Lockdown Natural Experiment.","source":"pubmed","abstract":"The Paris metropolitan area, the largest urban region in the European Union, has experienced two national COVID-19 confinements in 2020 with different levels of restrictions on mobility and economic activity, which caused reductions in CO 2 emissions. To quantify the timing and magnitude of daily emission reductions during the two lockdowns, we used continuous atmospheric CO 2 monitoring, a new high-resolution near-real-time emission inventory, and an atmospheric Bayesian inverse model. The atmospheric inversion estimated the changes in fossil fuel CO 2 emissions over the Greater Paris region during the two lockdowns, in comparison with the same periods in 2018 and 2019. It shows decreases by 42-53% during the first lockdown with stringent measures and by only 20% during the second lockdown when traffic reduction was weaker. Both lockdown emission reductions are mainly due to decreases in traffic. These results are consistent with independent estimates based on activity data made by the city environmental agency. We also show that unusual persistent anticyclonic weather patterns with north-easterly winds that prevailed at the start of the first lockdown period contributed a substantial drop in measured CO 2 concentration enhancements over Paris, superimposed on the reduction of urban CO 2 emissions. We conclude that atmospheric CO 2 monitoring makes it possible to identify significant emission changes (&gt;20%) at subannual time scales over an urban region.","url":"https://pubmed.ncbi.nlm.nih.gov/35080881/","authors":["Lian J","Lauvaux T","Utard H","Bréon FM","Broquet G","Ramonet M","Laurent O","Albarus I","Cucchi K","Ciais P"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2022 Feb 15","doi":"10.1021/acs.est.1c04973","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:43.695Z"},{"id":"pmid:35058262","name":"Study protocol of the European Urban Burden of Disease Project: a health impact assessment study.","source":"pubmed","abstract":"Cities have long been known to be society's predominant engine of innovation and wealth creation, yet they are also hotspots of pollution and disease partly due to current urban and transport practices. The aim of the European Urban Burden of Disease project is to evaluate the health burden and its determinants related to current and future potential urban and transport planning practices and related exposures in European cities and make this evidence available for policy and decision making for healthy and sustainable futures.","url":"https://pubmed.ncbi.nlm.nih.gov/35058262/","authors":["Nieuwenhuijsen MJ","Barrera-Gómez J","Basagaña X","Cirach M","Daher C","Pulido MF","Iungman T","Gasparrini A","Hoek G","de Hoogh K","Khomenko S","Khreis H","de Nazelle A","Ramos A","Rojas-Rueda D","Pereira Barboza E","Tainio M","Thondoo M","Tonne C","Woodcock J","Mueller N"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2022 Jan 20","doi":"10.1136/bmjopen-2021-054270","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:43.695Z"},{"id":"pmid:35043042","name":"A comprehensive study of the COVID-19 impact on PM(2.5) levels over the contiguous United States: A deep learning approach.","source":"pubmed","abstract":"We investigate the impact of the COVID-19 outbreak on PM 2.5 levels in eleven urban environments across the United States: Washington DC, New York, Boston, Chicago, Los Angeles, Houston, Dallas, Philadelphia, Detroit, Phoenix, and Seattle. We estimate daily PM 2.5 levels over the contiguous U.S. in March-May 2019 and 2020, and leveraging a deep convolutional neural network, we find a correlation coefficient, an index of agreement, a mean absolute bias, and a root mean square error of 0.90 (0.90), 0.95 (0.95), 1.34 (1.24) &#x3bc;g/m 3 , and 2.04 (1.87) &#x3bc;g/m 3 , respectively. Results from Google Community Mobility Reports and estimated PM 2.5 concentrations show a greater reduction of PM 2.5 in regions with larger decreases in human mobility and those in which individuals remain in their residential areas longer. The relationship between vehicular PM 2.5 (i.e., the ratio of vehicular PM 2.5 to other sources of PM 2.5 ) emissions and PM 2.5 reductions ( R &#xa0;=&#xa0;0.77) in various regions indicates that regions with higher emissions of vehicular PM 2.5 generally experience greater decreases in PM 2.5 . While most of the urban environments &#x2e3a; Washington DC, New York, Boston, Chicago, Los Angeles, Houston, Dallas, Philadelphia, Detroit, and Seattle &#x2e3a; show a decrease in PM 2.5 levels by 21.1%, 20.7%, 18.5%, 8.05%, 3.29%, 3.63%, 6.71%, 4.82%, 13.5%, and 7.73%, respectively, between March-May of 2020 and 2019, Phoenix shows a 5.5% increase during the same period. Similar to their PM 2.5 reductions, Washington DC, New York, and Boston, compared to other cities, exhibit the highest reductions in human mobility and the highest vehicular PM 2.5 emissions, highlighting the great impact of human activity on PM 2.5 changes in eleven regions. Moreover, compared to changes in meteorological factors, changes in pollutant concentrations, including those of black carbon, organic carbon, SO 2 , SO 4 , and especially NO 2 , appear to have had a significantly greater impact on PM 2.5 changes during the study period.","url":"https://pubmed.ncbi.nlm.nih.gov/35043042/","authors":["Ghahremanloo M","Lops Y","Choi Y","Jung J","Mousavinezhad S","Hammond D"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2022 Mar 1","doi":"10.1016/j.atmosenv.2022.118944","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:43.695Z"},{"id":"pmid:35038523","name":"Source apportionment of particle number concentrations: A global review.","source":"pubmed","abstract":"There are strong indications that exposure to ultrafine particles (UFP) (mobility diameters &#x2264;100&#xa0;nm) can induce adverse health effects. UFP can be present in the atmosphere through direct emissions such as from motor vehicles or through new particle formation events. To be able to develop control strategies or to provide source specific exposure metrics, it is possible to perform source apportionments using particle number size distributions. Thus, this study has searched the literature for all papers reporting source apportionments based on particle size distributions and compiled them into a database of all published studies. Typically reported sources include nucleation, several traffic sources, space heating, secondary inorganic aerosol, and particles associated with oxidants as represented by ozone. Nucleation and traffic typically dominated the particle number concentrations.","url":"https://pubmed.ncbi.nlm.nih.gov/35038523/","authors":["Hopke PK","Feng Y","Dai Q"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2022 May 1","doi":"10.1016/j.scitotenv.2022.153104","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:43.695Z"},{"id":"pmid:35007590","name":"Greening the city: Thriving for biodiversity and sustainability.","source":"pubmed","abstract":"Urban population and urbanisation are increasing rapidly, mainly in developing countries, usually at the expense of green and blue areas. This trend will decrease the ecosystems' capacity to supply ecosystem services (ES) and threaten human wellbeing. Therefore, it is key to establish greening policies in urbanising areas, which are essential to improve the liveability of cities. Restoring and developing green and blue infrastructures using nature-based solutions is vital to improving urban biodiversity and urban ecosystems. Healthy urban ecosystems have a high capacity to supply regulating (e.g., air, noise, climate and water regulation), provisioning (e.g., food, medicinal plants, biomass) and cultural (e.g., recreation, landscape aesthetics, social cohesion) ES. This multifunctionality can provide diverse environmental, social and economic benefits to urban residents, hence contributing to the sustainability of urban areas. However, urban green and blue areas are also associated with ecosystem disservices (e.g., plant allergies or poisoning, emission of biogenic volatile organic compounds, unpleasant smells), tradeoffs (e.g., increased water consumption, wildfire risk, associated management costs) and implementation barriers (e.g., political motivation, lack of knowledge, time and workload). Overall, the SI published 8 articles from different parts of the world, such as China, the USA, Italy or Spain, focused on important aspects of greening the city (e.g., green roofs, green walls, green infrastructures, sustainable mobility).","url":"https://pubmed.ncbi.nlm.nih.gov/35007590/","authors":["Pereira P","Baró F"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2022 Apr 15","doi":"10.1016/j.scitotenv.2022.153032","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:43.695Z"},{"id":"pmid:34996903","name":"Adverse health and environmental outcomes of cycling in heavily polluted urban environments.","source":"pubmed","abstract":"Cycling is a healthy habit; however, are its benefits outweighing risks when biking in heavily trafficked and air-polluted cities? Research involved studying contamination with traffic-related elements of dust collected from bike paths located in top trafficked cities of Europe in Poland. Human health risk was assessed via inhalation and ingestion pathways for adults and children. Bike path dust was heavily contaminated with Zn, Cd (Geoaccumulation index Igeo 4) and Pb (Igeo 3), sourced predominantly from nonexhaust car emissions. The concentrations of metals in dust decreased in the following descending order: Zn&#x2009;&gt;&#x2009;Mn&#x2009;&gt;&#x2009;Cu&#x2009;&gt;&#x2009;Pb&#x2009;&gt;&#x2009;Cr&#x2009;&gt;&#x2009;Cd. A fractionation study revealed that Zn and Cd are almost entirely bioavailable (Mobility factor MF above 90%), causing hazards to humans and the environment. The highest congested intersections result in more TRAP-contaminated dust deposited on bike paths, which is easily resuspended, posing a health risk for cyclists or pedestrians. Avoiding cycling in proximity to heavily trafficked routes should be considered, when possible, as well as physical removal of dust by wet sweeping to limit dust resuspension.","url":"https://pubmed.ncbi.nlm.nih.gov/34996903/","authors":["Adamiec E","Jarosz-Krzemińska E","Bilkiewicz-Kubarek A"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2022 Jan 7","doi":"10.1038/s41598-021-03111-3","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:43.695Z"},{"id":"pmid:34974009","name":"Vertical profile of aerosol number size distribution during a haze pollution episode in Hefei, China.","source":"pubmed","abstract":"The vertical distribution of aerosols has important implications on haze formation as development, which is manifested to some extent by the planetary boundary layer (PBL)-aerosol interactions. Information on the number concentration and size of particles is essential to understand these processes, but studies on vertical profiles of particle number-size distribution are limited. Herein, an unmanned aerial vehicle (UAV) equipped with a custom-built optical particle counter (0.4-10&#xa0;&#x3bc;m) was used to investigate the vertical profiles of particle number-size distribution in Hefei (China) during January 20-30, 2021. Combining ground-based scanning mobility particle sizer and meteorological data, the pollution accumulation and diffusion mechanisms were analyzed in depth. Results showed that as the pollution episode developed, the vertical distribution of the particle number concentration changed from a flat profile to a sharp vertical gradient. Under polluted conditions, a three-layer structure was clearly evident: uniform distribution in a mixed layer near the ground, a sharply reduced transition layer, and a low number concentration layer in the free atmosphere. Analysis revealed that fundamental to this conversion is that aerosols are highly affected by the PBL dynamics. Concurrent on-UAV and ground-based observations revealed that the ratio of particle numbers in the accumulation mode to that in the Aitken mode was 0.92&#xa0;&#xb1;&#xa0;0.05 in polluted days, which was almost three times that of clean days. This difference in the ratio of large to small particles suggests that hygroscopic growth of aerosol particles under high humidity conditions played an important role in haze development. Moreover, the sharp vertical gradient of the particle number concentration in the transition layer was identified as an important parameter for characterizing PBL height. The findings in this study highlight the importance of PBL dynamics on the under-studied vertical profiles of particle number-size distribution, especially during heavy pollution episodes.","url":"https://pubmed.ncbi.nlm.nih.gov/34974009/","authors":["Shen L","Cheng Y","Bai X","Dai H","Wei X","Sun L","Yang Y","Zhang J","Feng Y","Li YJ","Chen DR","Liu J","Gui H"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2022 Mar 25","doi":"10.1016/j.scitotenv.2021.152693","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:43.695Z"},{"id":"pmid:38624816","name":"Changing tracks: identifying and tackling bottlenecks in European rail passenger transport.","source":"pubmed","abstract":"For Europe's urban agglomerations to be economically competitive, it is vital that international destinations be easily accessible. Although much has been invested in the construction of European rail infrastructure over the past century, passenger transport by rail has not grown as fast as transport by road and air. So why do people not use international trains more, even though they have an extensive international rail network at their disposal? Based on a series of in-depth interviews with relevant public and private stakeholders and two expert meetings, we identify the main bottlenecks and constraints. In order to understand the complexity of international rail transport, we have divided the existing bottlenecks into four groups corresponding to four layers of the rail transport system: mobility services, transport services, traffic services, and the physical and digital infrastructure. We formulate concrete policy recommendations for improvements to be made in the various components of the rail transport system.","url":"https://pubmed.ncbi.nlm.nih.gov/38624816/","authors":["Witlox F","Zwanikken T","Jehee L","Donners B","Veeneman W"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2022","doi":"10.1186/s12544-022-00530-9","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:43.695Z"},{"id":"pmid:34949342","name":"Characterization of submicron aerosol particles in winter at Albany, New York.","source":"pubmed","abstract":"A thorough understanding of chemical composition, particle pH, and pollutant emissions is essential to address the climate and human health effects of atmospheric particles. In this study, we used a High-Resolution Time-of-Flight Aerosol Mass Spectrometer (HR-ToF-AMS) and Scanning Mobility Particle Sizer (SMPS) to characterize the composition of submicron particles. Moreover, we applied the ISORROPIA-II model to analyze the particle acidity effect on the compositional characterization of submicron particles from December 22, 2016 to January 7, 2017 in Albany, New York, USA. The results indicated that aerosols with mobility diameter from SMPS in the range 200-400&#xa0;nm were the main contributors to the mass during the measurement period. The dominance of organics (47%) and sulfate (16%) was similar to previous observations in the eastern United States in Winter 2015, while the fraction of nitrate (23%) was much higher. Moreover, nitrate could easily form at colder temperatures and lower RH levels even when there were more acidic particle periods during the measurement period in Albany. The ISORROPIA-II model indicated that there were more acidic particles, which was estimated using pH values. Lower temperature conditions tended to favor nitrate formation. The nitrate concentration exceeded that of sulfate in the measurement period, even though the SO 2 and NO x emissions were similar. The organics in submicron particles were strongly influenced by the local emissions in winter. However, the inorganic compounds in submicron particles could be derived from regional transport as their pollution sources originated from different directions. This may help strategize emission reductions in the future.","url":"https://pubmed.ncbi.nlm.nih.gov/34949342/","authors":["Wei X","Gui H","Liu J","Cheng Y"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2022 Jan","doi":"10.1016/j.jes.2021.03.004","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:43.695Z"},{"id":"pmid:34948956","name":"Meteorological Normalisation Using Boosted Regression Trees to Estimate the Impact of COVID-19 Restrictions on Air Quality Levels.","source":"pubmed","abstract":"The global COVID-19 pandemic that began in late December 2019 led to unprecedented lockdowns worldwide, providing a unique opportunity to investigate in detail the impacts of restricted anthropogenic emissions on air quality. A wide range of strategies and approaches exist to achieve this. In this paper, we use the \"deweather\" R package, based on Boosted Regression Tree (BRT) models, first to remove the influences of meteorology and emission trend patterns from NO, NO 2 , PM 10 and O 3 data series, and then to calculate the relative changes in air pollutant levels in 2020 with respect to the previous seven years (2013-2019). Data from a northern Spanish region, Cantabria, with all types of monitoring stations (traffic, urban background, industrial and rural) were used, dividing the calendar year into eight periods according to the intensity of government restrictions. The results showed mean reductions in the lockdown period above -50% for NO x , around -10% for PM 10 and below -5% for O 3 . Small differences were found between the relative changes obtained from normalised data with respect to those from observations. These results highlight the importance of developing an integrated policy to reduce anthropogenic emissions and the need to move towards sustainable mobility to ensure safer air quality levels, as pre-existing concentrations in some cases exceed the safe threshold.","url":"https://pubmed.ncbi.nlm.nih.gov/34948956/","authors":["Ceballos-Santos S","González-Pardo J","Carslaw DC","Santurtún A","Santibáñez M","Fernández-Olmo I"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2021 Dec 18","doi":"10.3390/ijerph182413347","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:43.695Z"},{"id":"pmid:34933267","name":"Evolution of size-segregated aerosol concentration in NW Spain: A two-step classification to identify new particle formation events.","source":"pubmed","abstract":"Real-time measurements of particles in the 15-736&#xa0;nm range have been obtained by a Scanning Mobility Particle Sizer to characterize the evolution of particle size distribution and new particle formation (NPF) events in an urban background area. The annual, weekly and diurnal variations of the modal (nucleation (N nuc ), Aitken (N Ait ) and accumulation (N acc )) particle concentrations were characterised. The N Ait and N acc registered their maximums in cold months during rush hours, in the morning (0600-0900 UTC) and in the afternoon (1700-2000 UTC), while the maximums for N nuc were reached in warm months during midday hours. N Ait , N acc and N total showed a significant negative correlation with wind speed and a different relationship with the planetary boundary layer (PBL) height by periods. In the warm period, a positive significant correlation between PBL and N nuc was registered, indicating that the higher dispersion promoted by a high PBL causes favourable conditions for the occurrence of NPF events (a low polluted atmosphere). NPF processes are one of the main sources of ultrafine particles (&lt;100&#xa0;nm) in the warm period. After a visual-based classification, 45 NPF events of type Ia (strong and with a good confidence level) were identified and analysed, occurring primarily between 1100 and 1500 UTC, mainly in spring and summer. In addition, a two-step method was developed for identifying NPF events: cluster analysis followed by discriminant analysis. The application of discriminant analysis to one of the clusters, grouping 93 days, enabled us to identify 55 of the 56 NPF events days included in the cluster. This method is a valuable tool for identifying NPF events quickly and effectively.","url":"https://pubmed.ncbi.nlm.nih.gov/34933267/","authors":["Blanco-Alegre C","Calvo AI","Alonso-Blanco E","Castro A","Oduber F","Fraile R"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2022 Feb 15","doi":"10.1016/j.jenvman.2021.114232","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:43.695Z"},{"id":"pmid:34926843","name":"Changes in ambient particulate matter during the COVID-19 and associations with biomass burning and Sahara dust in northern Colombia.","source":"pubmed","abstract":"The restriction of mobility due to preventive social isolation has improved air quality in many regions of the world. At the same time, global and regional atmospheric phenomena such as biomass burning or dust transport from Sahara can exacerbate particulate matter (PM) mass. In this study, PM 10 and PM 2.5 concentrations were evaluated in industrial and urban areas during the lockdown period due to COVID-19 in northern Colombia. Aerosol Optical Depth (AOD) observations obtained from the spaceborne MODIS (MOD04-3k) and the active fire data was obtained from VIIRS Active Fire. We measured surface contamination at several stations to quantify the PM 10 and PM 2.5 changes associated with the general closure of anthropogenic and industrial activities driven by COVID-19 and by the macroscale and/or mesoscale contributions. In the industrial zone, a slight decrease in daily concentrations was detected at the stations located near the mining operations. In the urban area, the decrease is more salient in COVID-19 lockdown. A reduction rate in the daily averages of PM10 of 23.3%, 6.0%, and 19.0% was observed in the SCa, SBi, and SUn stations, respectively. The biomass burning episode has contributed 52% to the daily average of PM 10 and 45% to the daily average of PM 2.5 . The episode due to the passage of Saharan dust through the Caribbean Sea has contributed 79% to the daily average of PM 10 (150.75 &#x3bc;g/m 3 ) and on 57% to the daily average of PM 2.5 .","url":"https://pubmed.ncbi.nlm.nih.gov/34926843/","authors":["Rojano R","Arregocés H","Gámez Frías E"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2021 Dec","doi":"10.1016/j.heliyon.2021.e08595","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:43.695Z"},{"id":"pmid:34898793","name":"Global cities, hypermobility, and Covid-19.","source":"pubmed","abstract":"The relationship between cities, globalization and mobility has produced recurring urban challenges over time. This article examines how mobility networks can turn global cities into Pandemic Gateways. Our hypothesis is that global cities became the gateway by which COVID-19 was introduced to many countries through the hypermobility of infected international travelers. To assess this transmission mechanism, we assembled data about the population and COVID-19 cases in global cities and their associated countries, comparing their infection rates on a fixed date. We demonstrate that most global cities followed a common pattern in the pace and intensity of COVID-19's spread during the first wave of the pandemic. Among our global cities sample, 75% served as the gateway through which COVID-19 was diffused within their respective countries. This trend reached 90% in a subset based upon the urban hierarchy among global cities. Hypermobility, which we demonstrate contributed to the mechanism by which global cities diffused COVID-19 initially, is also correlated with the global cities hierarchy, as supported by air travel data. Our findings suggest the need to appreciate why global cities can serve as gateways of pandemic diffusion, while also seeking to understand why some did not function in this way.","url":"https://pubmed.ncbi.nlm.nih.gov/34898793/","authors":["da Silva Corrêa L","Perl A"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2022 Mar","doi":"10.1016/j.cities.2021.103537","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:43.695Z"},{"id":"pmid:34890901","name":"Designing local air pollution policies focusing on mobility and heating to avoid a targeted number of pollution-related deaths: Forward and backward approaches combining air pollution modeling, health impact assessment and cost-benefit analysis.","source":"pubmed","abstract":"Policies aiming at decreasing air pollutants (e.g., fine particulate matter, PM 2.5 ) are often designed without targeting an explicit health benefit nor carrying out cost-benefit analyses.","url":"https://pubmed.ncbi.nlm.nih.gov/34890901/","authors":["Bouscasse H","Gabet S","Kerneis G","Provent A","Rieux C","Ben Salem N","Dupont H","Troude F","Mathy S","Slama R"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2022 Jan 15","doi":"10.1016/j.envint.2021.107030","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:43.695Z"},{"id":"pmid:34855753","name":"Understanding the intention to use bike-sharing system: A case study in Xi'an, China.","source":"pubmed","abstract":"Bike-sharing is widely recognized as an eco-friendly mode of transportation and seen as one of the solutions to the problem of air pollution and congestion. With the emphasis on sustainability in transportation, bike-sharing systems is an emerging topic of urban transport and sustainable mobility related research. Existing studies mainly explored the factors affecting individuals' initial intentions to start using a shared bicycle, but few looked at the likelihood that a user would continue using one This study proposed a structural equation model with bike-sharing purchase decision involvement as independent variable, bike-sharing willingness to use as dependent variable, traveler participation and traveler perceived value as intermediary variables by introducing the concepts of purchase decision involvement, customer participation and perceived value in consumer psychology and behavior. A survey on bike-sharing users in Xi'an was conducted online and offline, and 622 effective responses were collected. The research model was tested by Amos 24.0 and the empirical results showed that All influencing factors including bike-sharing's purchase decision-making involvement, traveler participation and traveler's perceived value are found to be significantly and positively associated with usage intention; traveler perceived value play a chain-mediating role between bike-sharing purchase decision involvement and usage intention; bike-sharing purchase decision involvement have indirect effects on traveler perceived value through traveler participation. The results of this study enrich the current research's in the field of sharing economy, and it is certain guiding significant for how to obtain and maintain stable customers in bicycle-sharing industry.","url":"https://pubmed.ncbi.nlm.nih.gov/34855753/","authors":["Zhang X","Wang J","Long X","Li W"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2021","doi":"10.1371/journal.pone.0258790","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:43.695Z"},{"id":"pmid:34851171","name":"Premature Mortality of 2050 High Bike Use Scenarios in 17 Countries.","source":"pubmed","abstract":"Biking plays a significant role in urban mobility and has been suggested as a tool to promote public health. A recent study has proposed 2050 global biking scenarios based on large shifts from motorized vehicles to bikes. No previous studies have estimated the health impacts of global cycling scenarios, either future car-bike shift substitutions.","url":"https://pubmed.ncbi.nlm.nih.gov/34851171/","authors":["Egiguren J","Nieuwenhuijsen MJ","Rojas-Rueda D"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2021 Dec","doi":"10.1289/EHP9073","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:43.695Z"},{"id":"pmid:34840623","name":"Assessment of air quality changes during COVID-19 partial lockdown in a Brazilian metropolis: from lockdown to economic opening of Rio de Janeiro, Brazil.","source":"pubmed","abstract":"During the COVID-19 pandemic, restrictive measures are taken by several cities around the world, as well as Rio de Janeiro, reducing routine activities in large urban centers and primary pollutant emissions. This study aims to assess air quality during this partial lockdown through O 3 , CO, and PM 10 concentrations and meteorological data collected in five air quality monitoring stations spread over the whole city, considering the substantial changes in city routine. The period evaluated starts in March 2020, when the partial lockdown was decreed, and ends in September 2020, when economic opening ended. Compared with 2019 data, CO concentration reduced significantly, as expected since the main source of these pollutants is vehicular traffic. O 3 concentration increased, most probably as a consequence of the reduction in primary pollutants. On the other hand, PM 10 concentration did not vary significantly. From June to September, pollutant concentrations increased responding to the economic opening. Thereby, the partial lockdown contributed to improving air quality in Rio de Janeiro City, which means that changes in work format may be an alternative to reduce atmospheric pollution in big cities, since home office contributes to mobility reductions, and consequently to vehicular emissions.","url":"https://pubmed.ncbi.nlm.nih.gov/34840623/","authors":["Beringui K","Justo EPS","De Falco A","Santa-Helena E","Rocha WFC","Deroubaix A","Gioda A"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2022","doi":"10.1007/s11869-021-01127-2","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:43.695Z"},{"id":"pmid:34786314","name":"Machine Learning on the COVID-19 Pandemic, Human Mobility and Air Quality: A Review.","source":"pubmed","abstract":"The ongoing COVID-19 global pandemic is touching every facet of human lives (e.g., public health, education, economy, transportation, and the environment). This novel pandemic and non-pharmaceutical interventions of lockdown and confinement implemented citywide, regionally or nationally are affecting virus transmission, people's travel patterns, and air quality. Many studies have been conducted to predict the diffusion of the COVID-19 disease, assess the impacts of the pandemic on human mobility and on air quality, and assess the impacts of lockdown measures on viral spread with a range of Machine Learning (ML) techniques. This literature review aims to analyze the results from past research to understand the interactions among the COVID-19 pandemic, lockdown measures, human mobility, and air quality. The critical review of prior studies indicates that urban form, people's socioeconomic and physical conditions, social cohesion, and social distancing measures significantly affect human mobility and COVID-19 viral transmission. During the COVID-19 pandemic, many people are inclined to use private transportation for necessary travel to mitigate coronavirus-related health problems. This review study also noticed that COVID-19 related lockdown measures significantly improve air quality by reducing the concentration of air pollutants, which in turn improves the COVID-19 situation by reducing respiratory-related sickness and deaths. It is argued that ML is a powerful, effective, and robust analytic paradigm to handle complex and wicked problems such as a global pandemic. This study also explores the spatio-temporal aspects of lockdown and confinement measures on coronavirus diffusion, human mobility, and air quality. Additionally, we discuss policy implications, which will be helpful for policy makers to take prompt actions to moderate the severity of the pandemic and improve urban environments by adopting data-driven analytic methods.","url":"https://pubmed.ncbi.nlm.nih.gov/34786314/","authors":["Rahman MM","Paul KC","Hossain MA","Ali GGMN","Rahman MS","Thill JC"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2021","doi":"10.1109/ACCESS.2021.3079121","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:43.695Z"},{"id":"pmid:34751365","name":"Environment-lockdown, air pollution and related diseases: could we learn something and make it last?","source":"pubmed","abstract":"Although the pandemic has caused substantial losses in economic prosperity and human lives, it has also some positive impacts on the environment. Restricted mobility, complete closure, less traffic and industry have led to improved air quality especially in urban settings. Not only is air pollution an important determinant of chronic diseases, such as heart and lung disorders, but it has also been shown that poor air quality increases the risk of COVID-19. In this article, we review some of the findings on changes in air quality during the pandemic, and its potential effects on health. We need to continue to monitor the effects of change in air quality, due to COVID-19 lockdown or other factors, but also keep all our efforts to improve air quality even faster and more persistent, bringing the pollution levels below what WHO recommends are safe to live with.","url":"https://pubmed.ncbi.nlm.nih.gov/34751365/","authors":["Jevtic M","Matkovic V","van den Hazel P","Bouland C"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2021 Nov 9","doi":"10.1093/eurpub/ckab157","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:43.695Z"},{"id":"pmid:34741943","name":"Assessing the impacts of citizen-led policies on emissions, air quality and health.","source":"pubmed","abstract":"Air pollution is a global challenge, and especially urban areas are particularly affected by acute episodes. Traditional approaches used to mitigate air pollution primarily consider the technical aspects of the problem but not the role of citizen behaviour and day-to-day practices. ClairCity, a Horizon 2020 funded project, created an impact assessment framework considering the role of citizen behaviour to create future scenarios, aiming to improve urban environments and the wellbeing and health of its inhabitants. This framework was applied to six pilot cases: Bristol, Amsterdam, Ljubljana, Sosnowiec, Aveiro Region and Liguria Region, considering three-time horizons: 2025, 2035 and 2050. The scenarios approach includes the Business As Usual (BAU) scenario and a Final Unified Policy Scenarios (FUPS) established by citizens, decision-makers, local planners and stakeholders based on data collected through a citizen and stakeholder co-creation process. Therefore, this paper aims to present the ClairCity outcomes, analysing the quantified impacts of selected measures in terms of emissions, air quality, population exposure, and health. Each case study has established a particular set of measures with different levels of ambition, therefore different levels of success were achieved towards the control and mitigation of their specific air pollution problems. The transport sector was the most addressed by the measures showing substantial improvements for NO 2 , already with the BAU scenarios, and overall, even better results when applying the citizen-led FUPS scenarios. In some cases, due to a lack of ambition for the residential and commercial sector, the results were not sufficient to fulfil the WHO guidelines. Overall, it was found in all cities that the co-created scenarios would lead to environmental improvements in terms of air quality and citizens' health compared to the baseline year of 2015. However, in some cases, the health impacts were lower than air quality due to the implementation of the measures not affecting the most densely populated areas. Benefits from the FUPS comparing to the BAU scenario were found to be highest in Amsterdam and Bristol, with further NO 2 and PM10 emission reductions around 10%-16% by 2025 and 19%-28% by 2050, compared to BAU.","url":"https://pubmed.ncbi.nlm.nih.gov/34741943/","authors":["Oliveira K","Rodrigues V","Slingerland S","Vanherle K","Soares J","Rafael S","Trozzi C","Bouman EA","Ferreira J","Kewo A","Nielsen PS","Diafas I","Monteiro A","Miranda AI","Lopes M","Hayes E"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2022 Jan 15","doi":"10.1016/j.jenvman.2021.114047","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:43.695Z"},{"id":"pmid:34723169","name":"Learning from the COVID-19 lockdown in berlin: Observations and modelling to support understanding policies to reduce NO(2).","source":"pubmed","abstract":"Urban air pollution is a substantial threat to human health. Traffic emissions remain a large contributor to air pollution in urban areas. The mobility restrictions put in place in response to the COVID-19 pandemic provided a large-scale real-world experiment that allows for the evaluation of changes in traffic emissions and the corresponding changes in air quality. Here we use observational data, as well as modelling, to analyse changes in nitrogen dioxide, ozone, and particulate matter resulting from the COVID-19 restrictions at the height of the lockdown period in Spring of 2020. Accounting for the influence of meteorology on air quality, we found that reduction of ca. 30-50&#xa0;% in traffic counts, dominated by changes in passenger cars, corresponded to reductions in median observed nitrogen dioxide concentrations of ca. 40&#xa0;% (traffic and urban background locations) and a ca. 22&#xa0;% increase in ozone (urban background locations) during weekdays. Lesser reductions in nitrogen dioxide concentrations were observed at urban background stations at weekends, and no change in ozone was observed. The modelled reductions in median nitrogen dioxide at urban background locations were smaller than the observed reductions and the change was not significant. The model results showed no significant change in ozone on weekdays or weekends. The lack of a simulated weekday/weekend effect is consistent with previous work suggesting that NOx emissions from traffic could be significantly underestimated in European cities by models. These results indicate the potential for improvements in air quality due to policies for reducing traffic, along with the scale of reductions that would be needed to result in meaningful changes in air quality if a transition to sustainable mobility is to be seriously considered. They also confirm once more the highly relevant role of traffic for air quality in urban areas.","url":"https://pubmed.ncbi.nlm.nih.gov/34723169/","authors":["von Schneidemesser E","Sibiya B","Caseiro A","Butler T","Lawrence MG","Leitao J","Lupascu A","Salvador P"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2021 Dec","doi":"10.1016/j.aeaoa.2021.100122","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:43.695Z"},{"id":"pmid:34710158","name":"Predicting the effects of COVID-19 related interventions in urban settings by combining activity-based modelling, agent-based simulation, and mobile phone data.","source":"pubmed","abstract":"Epidemiological simulations as a method are used to better understand and predict the spreading of infectious diseases, for example of COVID-19. This paper presents an approach that combines a well-established approach from transportation modelling that uses person-centric data-driven human mobility modelling with a mechanistic infection model and a person-centric disease progression model. The model includes the consequences of different room sizes, air exchange rates, disease import, changed activity participation rates over time (coming from mobility data), masks, indoors vs. outdoors leisure activities, and of contact tracing. It is validated against the infection dynamics in Berlin (Germany). The model can be used to understand the contributions of different activity types to the infection dynamics over time. It predicts the effects of contact reductions, school closures/vacations, masks, or the effect of moving leisure activities from outdoors to indoors in fall, and is thus able to quantitatively predict the consequences of interventions. It is shown that these effects are best given as additive changes of the reproduction number R. The model also explains why contact reductions have decreasing marginal returns, i.e. the first 50% of contact reductions have considerably more effect than the second 50%. Our work shows that is is possible to build detailed epidemiological simulations from microscopic mobility models relatively quickly. They can be used to investigate mechanical aspects of the dynamics, such as the transmission from political decisions via human behavior to infections, consequences of different lockdown measures, or consequences of wearing masks in certain situations. The results can be used to inform political decisions.","url":"https://pubmed.ncbi.nlm.nih.gov/34710158/","authors":["Müller SA","Balmer M","Charlton W","Ewert R","Neumann A","Rakow C","Schlenther T","Nagel K"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2021","doi":"10.1371/journal.pone.0259037","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:43.695Z"},{"id":"pmid:34705210","name":"Temporal air quality (NO(2), O(3), and PM(10)) changes in urban and rural stations in Catalonia during COVID-19 lockdown: an association with human mobility and satellite data.","source":"pubmed","abstract":"In this study, changes in air quality by NO 2 , O 3 , and PM 10 in Barcelona metropolitan area and other parts of Catalonia during the COVID-19 lockdown with respect to pre-lockdown and to previous years (2018 and 2019) were evaluated. Selected air monitoring stations included 3 urban (Gr&#xe0;cia, Vall d'Hebron, and Granollers), 1 control site (Fabra Observatory), 1 semi-urban (Manlleu), and 3 rural (Begur, Bellver de Cerdanya, and Juneda). NO 2 lockdown levels showed a diminution, which in relative terms was maximum in two rural stations (Bellver de Cerdanya,&#x2009;-&#x2009;63% and Begur,&#x2009;-&#x2009;61%), presumably due to lower emissions from the ceasing hotel and ski resort activities during eastern holidays. In absolute terms and from an epidemiologic perspective, decrease in NO 2 , also reinforced by the high amount of rainfall registered in April 2020, was more relevant in the urban stations around Barcelona. O 3 levels increased in the transited urban stations (Gr&#xe0;cia,&#x2009;+&#x2009;42%, and Granollers,&#x2009;+&#x2009;64%) due to the lower titration effect by NO x . PM 10 lockdown levels decreased, mostly in Gr&#xe0;cia, Vall d'Hebron, and Granollers (-&#x2009;35,&#x2009;-&#x2009;39%, and&#x2009;-&#x2009;39%, respectively) due to traffic depletion (-&#x2009;90% in Barcelona's transport). Correlation among mobility index in Barcelona (-&#x2009;100% in retail and recreation) and contamination was positive for NO 2 and PM 10 and negative for O 3 (P&#x2009;&lt;&#x2009;0.001). Satellite images evidenced two hotspots of NO 2 in Spain (Madrid and Barcelona) in April 2018 and 2019 that disappeared in 2020. Overall, the benefits of lockdown on air quality in Catalonia were evidenced with NO 2 , O 3 and PM 10 levels below WHOAQG values in most of stations opposed to the excess registered in previous years.","url":"https://pubmed.ncbi.nlm.nih.gov/34705210/","authors":["Gorrochategui E","Hernandez I","Pérez-Gabucio E","Lacorte S","Tauler R"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2022 Mar","doi":"10.1007/s11356-021-17137-7","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:43.695Z"},{"id":"pmid:34704039","name":"Covid-19 mobility restrictions: impacts on urban air quality and health.","source":"pubmed","abstract":"In 2020, Covid-19-related mobility restrictions resulted in the most extensive human-made air-quality changes ever recorded. The changes in mobility are quantified in terms of outdoor air pollution (concentrations of PM 2.5 and NO 2 ) and the associated health impacts in four UK cities (Greater London, Cardiff, Edinburgh and Belfast). After applying a weather-corrected machine learning (ML) technique, all four cities show NO 2 and PM 2.5 concentration anomalies in 2020 when compared with the ML-predicted values for that year. The NO 2 anomalies are -21% for Greater London, -19% for Cardiff, -27% for Belfast and -41% for Edinburgh. The PM 2.5 anomalies are 7% for Greater London, -1% for Cardiff, -15% for Edinburgh, -14% for Belfast. All the negative anomalies, which indicate air pollution at a lower level than expected from the weather conditions, are attributable to the mobility restrictions imposed by the Covid-19 lockdowns. Spearman rank-order correlations show a significant correlation between the lowering of NO 2 levels and reduction in public transport ( p &lt; 0.05) and driving ( p &lt; 0.05), which is associated with a decline in NO 2 -attributable mortality. These positive effects of the mobility restrictions on public health can be used to evaluate policies for improved outdoor air quality.","url":"https://pubmed.ncbi.nlm.nih.gov/34704039/","authors":["Mohajeri N","Walch A","Gudmundsson A","Heaviside C","Askari S","Wilkinson P","Davies M"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2021","doi":"10.5334/bc.124","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:43.695Z"},{"id":"pmid:34676511","name":"Soil and plant contamination by potentially toxic and emerging elements and the associated human health risk in some Egyptian environments.","source":"pubmed","abstract":"The aim of this work was to assess the origins, mobility, bioavailability and potential health risks of V, Cr, Co, As, Se, Mo, Cd, Sn and Sb, which are not sufficiently studied in the terrestrial environment of Egypt. This has been carried out by employing a combination of chemical fractionation, plants uptake, mathematical modeling and risk assessment approaches on a wide range of soils and plants sampled from industrial, urban and agricultural locations across Egypt. The contents of As, Cd, Sn and Sb were elevated in the soils of some urban and industrial locations within Cairo, although their soil geo-accumulation (I geo ) indices remained&#x2009;&#x2264;&#x2009;2, indicating only moderate contamination. Selenium showed moderate to heavy contamination levels (I geo up to 4.7) in all sampling locations, and Sb was highly elevated (I geo &#x2009;=&#x2009;7.1; extreme contamination) in one industrial location. Therefore, Se was the most important contributor to the pollution load followed by Sb and Cd. Both principle component analysis (of total content) and geochemical fractionation (by sequential extraction) suggested that V, Cr and Co are mostly of geogenic origin, while Se and Sb contents appear to be highly influenced by anthropogenic inputs. The most mobile and bioavailable element was Cd with a large non-residual fraction in all soils (76% of total Cd). The bio-concentration factors of Cd in leafy and fruiting plants were 50 times larger than other elements (except Mo) indicating preferential systematic plant uptake of Cd. Risk assessment models showed an overall low noncarcinogenic and carcinogenic risks to the population of Egypt due to the studied elements with only a few anomalies.","url":"https://pubmed.ncbi.nlm.nih.gov/34676511/","authors":["Shetaya WH","Bailey EH","Young SD","Mohamed EF","Antoniadis V","Rinklebe J","Shaheen SM","Marzouk ER"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2023 Feb","doi":"10.1007/s10653-021-01097-5","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:43.695Z"},{"id":"pmid:34667335","name":"Environmental justice and the COVID-19 pandemic: Evidence from New York State.","source":"pubmed","abstract":"The decline in human mobility and socioeconomic activities during the COVID-19 pandemic has been accompanied by reports of significant improvements in air quality. We evaluate whether there was a uniform improvement in air quality across neighborhoods, with a special attention on differences by race. We focus on the COVID-19 lockdown in New York State, an early epicenter of the pandemic in the United States. Using a triple difference-in-differences model, we find that, despite the seasonal decline in particulate matter pollution starting late March (concurrent with the lockdown period), the lockdown narrowed the disparity in air quality between census tracts with high and low shares of non-white population in rural New York, whereas the racial gap in air quality remained unchanged in urban New York.","url":"https://pubmed.ncbi.nlm.nih.gov/34667335/","authors":["Zhang R","Li H","Khanna N"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2021 Oct","doi":"10.1016/j.jeem.2021.102554","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:43.695Z"},{"id":"pmid:34656430","name":"Understanding the interaction between human activities and physical health under extreme heat environment in Phoenix, Arizona.","source":"pubmed","abstract":"Long-term community resilience, which privileges a long view look at chronic issues influencing communities, has begun to draw more attention from city planners, researchers and policymakers. In Phoenix, resilience to heat is both a necessity and a way of life. In this paper, we attempt to understand how residents living in Phoenix experience and behave in an extreme heat environment. To achieve this goal, we introduced a smartphone application (ActivityLog) to study spatio-temporal dynamics of human interaction with urban environments. Compared with traditional paper activity log results we have in this study, the smartphone-based activity log has higher data quality in terms of total number of logs, response rates, accuracy, and connection with GPS and temperature sensors. The research results show that low-income residents in Phoenix mostly stay home during the summer but experience a relatively high indoor temperature due to the lack/low efficiency of air-conditioning (AC) equipment or lack of funds to run AC frequently. Middle-class residents have a better living experience in Phoenix with better mobility with automobiles and good quality of AC. The research results help us better understand user behaviors for daily log activities and how human activities interact with the urban thermal environment, informing further planning policy development. The ActivityLog smartphone application is also presented as an open-source prototype to design a similar urban climate citizen science program in the future.","url":"https://pubmed.ncbi.nlm.nih.gov/34656430/","authors":["Zhao Q","Li Z","Shah D","Fischer H","Solís P","Wentz E"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2023 Jan","doi":"10.1016/j.healthplace.2021.102691","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:43.695Z"},{"id":"pmid:34626702","name":"Spatial trends of chlorinated paraffins and dechloranes in air and soil in a tropical urban, suburban, and rural environment.","source":"pubmed","abstract":"There are large knowledge gaps concerning environmental levels and fate of many organic pollutants, particularly for chemicals of emerging concern in tropical regions of the Global South. In this study, we investigated the levels of chlorinated paraffins (CPs) and dechloranes in air and soil in rural, suburban, and urban regions in and around Dar es Salaam, Tanzania. Samples were also collected near the city's main municipal waste dumpsite and an electronic waste (e-waste) handling facility. In passive air samples, short chain CPs (SCCPs) dominated, with an average estimated concentration of 22&#xa0;ng/m 3 , while medium chain CPs (MCCPs) had an average estimated concentration of 9&#xa0;ng/m 3 . The average estimated air concentration of &#x2211;dechloranes (Dechlorane Plus (DP)&#xa0;+&#xa0;Dechlorane 602&#xa0;+&#xa0;Dechlorane 603) was three to four orders of magnitudes lower, 2&#xa0;pg/m 3 . In soil samples, MCCPs dominated with an average concentration of 640&#xa0;ng/g dw, followed by SCCPs with an average concentration of 330&#xa0;ng/g dw, and &#x2211;dechloranes with an average concentration of 0.9&#xa0;ng/g dw. In both air and soil, DP was the dominating dechlorane compound. Urban pulses were observed for CPs and dechloranes in air and soil. CPs were in addition found in elevated levels at the municipal waste dumpsite and the e-waste handling facility, while DPs were found in elevated levels at the e-waste handling facility. This suggests that waste handling sites represent important emission sources for these pollutants. Investigations into seasonal trends and environmental fate of CPs and dechloranes showed that monsoonal rain patterns play a major role in governing air concentrations and mobility, particularly for the less volatile MCCPs and dechloranes. This study is the first to report levels of CPs in air from sub-Saharan Africa, and DP, Dechlorane 602, and Dechlorane 603 in soil from sub-Saharan Africa.","url":"https://pubmed.ncbi.nlm.nih.gov/34626702/","authors":["Nipen M","Vogt RD","Bohlin-Nizzetto P","Borgå K","Mwakalapa EB","Borgen AR","Jørgensen SJ","Ntapanta SM","Mmochi AJ","Schlabach M","Breivik K"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2022 Jan 1","doi":"10.1016/j.envpol.2021.118298","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:43.695Z"},{"id":"pmid:34592271","name":"Active mobility versus motorized transport? User choices and benefits for the society.","source":"pubmed","abstract":"Measures promoting active mobility - walking or cycling - are often seen as an effective strategy to meet multiple urban objectives. The advantages of such behavioural changes cover multiple dimensions at public and individual level, including positive impacts on health, safety, climate, economy, environment and air quality. However, there is still a considerable potential for increasing the uptake of active mobility in urban areas. This paper explores the determinants of active mobility choice and compares the demographic, socio-economic and cultural factors that influence it. The methodology combines extensive survey data, an EU-wide transport model and detailed indicators of external costs of transport with a Gradient Boosting Machine Learning approach. The model based scenarios quantify the benefit in terms of external costs savings from increasing active mobility shares. Such savings - at EU level, can reach the amount of 15 billion euro per year for a shift of 10% of trips to active mobility modes.","url":"https://pubmed.ncbi.nlm.nih.gov/34592271/","authors":["Pisoni E","Christidis P","Navajas Cawood E"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2022 Feb 1","doi":"10.1016/j.scitotenv.2021.150627","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:43.695Z"},{"id":"pmid:34580629","name":"Transformation of urban mobility during COVID-19 pandemic - Lessons for transportation planning.","source":"pubmed","abstract":"The coronavirus disease (COVID-19) pandemic is a global threat that started in Wuhan, China, in 2019 and spread rapidly to the globe. To reduce the spread of the COVID-19, different non-pharmacological control measures have been conducted in different countries, which include social distancing, distance working, and stay-at-home mandates. These control measures had affected global transportation and mobility significantly. This study investigated the short-term changes in urban mobility, tropospheric air pollution, and fuel consumption in two major cities of Saudi Arabia, namely, Riyadh and Jeddah.","url":"https://pubmed.ncbi.nlm.nih.gov/34580629/","authors":["Rahman SM","Ratrout N","Assi K","Al-Sghan I","Gazder U","Reza I","Reshi O"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2021 Dec","doi":"10.1016/j.jth.2021.101257","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:43.695Z"},{"id":"pmid:34571219","name":"Coupling time-lapse ground penetrating radar surveys and infiltration experiments to characterize two types of non-uniform flow.","source":"pubmed","abstract":"Understanding linkages between heterogeneous soil structures and non-uniform flow is fundamental for interpreting infiltration processes and improving hydrological simulations. Here, we utilized ground-penetrating radar (GPR) as a non-invasive technique to investigate those linkages and to complement current traditional methods that are labor-intensive, invasive, and non-repeatable. We combined time-lapse GPR surveys with different types of infiltration experiments to create three-dimensional (3D) diagrams of the wetting dynamics. We carried out the GPR surveys and validated them with in situ observations, independent measurements and field excavations at two experimental sites. Those sites were selected to represent different mechanisms that generate non-uniform flow: (1) preferential water infiltration initiated by tree trunk and root systems; and (2) lateral subsurface flow due to soil layering. Results revealed links between different types of soil heterogeneity and non-uniform flow. The first experimental site provided evidence of root-induced preferential flow paths along coarse roots, emphasizing the important role of coarse roots in facilitating preferential water movement through the subsurface. The second experimental site showed that water infiltrated through the restrictive layer mainly following the plant root system. The presented approach offers a non-invasive, repeatable and accurate way to detect non-uniform flow.","url":"https://pubmed.ncbi.nlm.nih.gov/34571219/","authors":["Di Prima S","Giannini V","Ribeiro Roder L","Giadrossich F","Lassabatere L","Stewart RD","Abou Najm MR","Longo V","Campus S","Winiarski T","Angulo-Jaramillo R","Del Campo A","Capello G","Biddoccu M","Roggero PP","Pirastru M"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2022 Feb 1","doi":"10.1016/j.scitotenv.2021.150410","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:43.695Z"},{"id":"pmid:34517204","name":"Mobility-based environmental justice: Understanding housing disparity in real-time exposure to air pollution and momentary psychological stress in Beijing, China.","source":"pubmed","abstract":"Environmental justice is a crucial environmental and social problem. Previous research in the cities of developed countries has found that ethnic minorities and low-income people were disproportionately exposed to the residential environment with more serious environmental risks. This study proposed a transition from the residence-based perspective to a mobility-based and context-aware approach to reinterpret environmental justice with a focus on the air pollution issue in urban China. A novel research protocol combining geographic ecological momentary assessment and portable air pollutant sensors was developed to collect and analyze real-time data of air pollution exposure and psychological stress for residents living in the same residential neighborhood of Beijing, China. The results show that residents of different types of housing were exposed to varying PM 2.5 concentrations although they experienced similar levels of air pollution in their residential neighborhoods. Residents of public low-rent housing were the disadvantaged group because of their limited mobility, exposure to serious air pollution at home, and insensitive stress responses to air pollution. These findings not only uncover the mobility-based environmental justice issue in the context of government-led and egalitarianism-pursuing urban China, but also provide references for the residential mix policy on how to narrow the disparity in environmental pollution exposure from the perspective of human mobility.","url":"https://pubmed.ncbi.nlm.nih.gov/34517204/","authors":["Tao Y","Chai Y","Zhang X","Yang J","Kwan MP"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2021 Oct","doi":"10.1016/j.socscimed.2021.114372","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:43.695Z"},{"id":"pmid:34510205","name":"Global burden for dengue and the evolving pattern in the past 30 years.","source":"pubmed","abstract":"Dengue is the most prevalent and rapidly spreading mosquito-borne viral disease. We present the global, regional and national burden of dengue from 1990 to 2019 based on the findings from the Global Burden of Diseases, Injuries, and Risk Factors Study 2019 (GBD 2019).","url":"https://pubmed.ncbi.nlm.nih.gov/34510205/","authors":["Yang X","Quam MBM","Zhang T","Sang S"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2021 Dec 29","doi":"10.1093/jtm/taab146","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:43.695Z"},{"id":"pmid:34480051","name":"Contrasting effects of the COVID-19 lockdown on urban birds' reproductive success in two cities.","source":"pubmed","abstract":"The ubiquitous activity of humans is a fundamental feature of urban environments affecting local wildlife in several ways. Testing the influence of human disturbance would ideally need experimental approach, however, in cities, this is challenging at relevant spatial and temporal scales. Thus, to better understand the ecological effects of human activity, we exploited the opportunity that the city-wide lockdowns due to the COVID-19 pandemic provided during the spring of 2020. We assessed changes in reproductive success of great tits (Parus major) at two urban habitats affected strikingly differently by the 'anthropause', and at an unaffected forest site. Our results do not support that urban great tits benefited from reduced human mobility during the lockdown. First, at one of our urban sites, the strongly (-&#x2009;44%) reduced human disturbance in 2020 (compared to a long-term reference period) did not increase birds' reproductive output relative to the forest habitat where human disturbance was low in all years. Second, in the other urban habitat, recreational human activity considerably increased (+&#x2009;40%) during the lockdown and this was associated with strongly reduced nestling body size compared to the pre-COVID reference year. Analyses of other environmental factors (meteorological conditions, lockdown-induced changes in air pollution) suggest that these are not likely to explain our results. Our study supports that intensified human disturbance can have adverse fitness consequences in urban populations. It also highlights that a few months of 'anthropause' is not enough to counterweight the detrimental impacts of urbanization on local wildlife populations.","url":"https://pubmed.ncbi.nlm.nih.gov/34480051/","authors":["Seress G","Sándor K","Vincze E","Pipoly I","Bukor B","Ágh N","Liker A"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2021 Sep 3","doi":"10.1038/s41598-021-96858-8","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:43.695Z"},{"id":"pmid:34456403","name":"Air quality changes in cities during the COVID-19 lockdown: A critical review.","source":"pubmed","abstract":"In response to the rapid spread of coronavirus disease-2019 (COVID-19) within and across countries and the need to protect public health, governments worldwide introduced unprecedented measures such as restricted road and air travel and reduced human mobility in 2020. The curtailment of personal travel and economic activity provided a unique opportunity for researchers to assess the interplay between anthropogenic emissions of primary air pollutants, their physical transport, chemical transformation, ultimate fate and potential health impacts. In general, reductions in the atmospheric levels of outdoor air pollutants such as particulate matter (PM), nitrogen dioxide (NO 2 ), carbon monoxide (CO), sulfur dioxide (SO 2 ), and volatile organic compounds (VOCs) were observed in many countries during the lockdowns. However, the levels of ozone (O 3 ), a secondary air pollutant linked to asthma and respiratory ailments, and secondary PM were frequently reported to remain unchanged or even increase. An increase in O 3 can enhance the formation of secondary PM 2.5 , especially secondary organic aerosols, through the atmospheric oxidation of VOCs. Given that the gaseous precursors of O 3 (VOCs and NO x ) are also involved in the formation of secondary PM 2.5, an integrated control strategy should focus on reducing the emission of the common precursors for the co-mitigation of PM 2.5 and O 3 with an emphasis on their complex photochemical interactions. Compared to outdoor air quality, comprehensive investigations of indoor air quality (IAQ) are relatively sparse. People spend more than 80% of their time indoors with exposure to air pollutants of both outdoor and indoor origins. Consequently, an integrated assessment of exposure to air pollutants in both outdoor and indoor microenvironments is needed for effective urban air quality management and for mitigation of health risk. To provide further insights into air quality, we do a critical review of scientific articles, published from January 2020 to December 2020 across the globe. Finally, we discuss policy implications of our review in the context of global air quality improvement.","url":"https://pubmed.ncbi.nlm.nih.gov/34456403/","authors":["Adam MG","Tran PTM","Balasubramanian R"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2021 Dec 15","doi":"10.1016/j.atmosres.2021.105823","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:43.695Z"},{"id":"pmid:34453678","name":"Assessment of potential benefits of traffic and urban mobility reductions during COVID-19 lockdowns: dose-response calculations for material corrosions on built cultural heritage.","source":"pubmed","abstract":"Air pollution, particularly in urban areas, puts human health in danger and has adverse impacts on the built environment. It can accelerate the natural corrosion rate of cultural heritages and monuments, leading to premature aging and lowering their aesthetic value. Globally, at the beginning of 2020, to tackle the spread of novel COVID-19, the lockdown was enforced in the most hard-hit countries. Therefore, this study assesses, as a first time, the plausible benefits of traffic and urban mobility reductions on the natural process of deterioration of materials during COVID-19 lockdown in twenty-four major cities on five continents. The potential risk is estimated based on exceeding the tolerable degradation limits for each material. The notable impact of COVID-19 mobility restrictions on air quality was evidenced in 2020 compared to 2019. The introduced mobility restrictions in 2020 could decrease the surface recession rate of materials. Extremely randomized trees analysis showed that PM 10 was the main influencing factor for corrosion of portland, copper, cast bronze, and carbon steel with a relative importance of 0.60, 0.32, 0.90, and 0.64, respectively, while SO 2 and HNO 3 were mainly responsible for corrosion of sandstone and zinc with a relative importance of 0.60 and 0.40, respectively. The globally adverse governed meteorological conditions in 2020 could not positively influence the movement restrictions around the world in air quality improvements. Our findings can highlight the need for additional policies and measures for reducing ambient pollution in cities and the proximity of sensitive cultural heritage to avoid further damage.","url":"https://pubmed.ncbi.nlm.nih.gov/34453678/","authors":["Broomandi P","Tleuken A","Zhaxylykov S","Nikfal A","Kim JR","Karaca F"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2022 Jan","doi":"10.1007/s11356-021-16078-5","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:43.695Z"},{"id":"pmid:34425482","name":"A global observational analysis to understand changes in air quality during exceptionally low anthropogenic emission conditions.","source":"pubmed","abstract":"This global study, which has been coordinated by the World Meteorological Organization Global Atmospheric Watch (WMO/GAW) programme, aims to understand the behaviour of key air pollutant species during the COVID-19 pandemic period of exceptionally low emissions across the globe. We investigated the effects of the differences in both emissions and regional and local meteorology in 2020 compared with the period 2015-2019. By adopting a globally consistent approach, this comprehensive observational analysis focuses on changes in air quality in and around cities across the globe for the following air pollutants PM 2.5 , PM 10 , PMC (coarse fraction of PM), NO 2 , SO 2 , NOx, CO, O 3 and the total gaseous oxidant (OX&#xa0;=&#xa0;NO 2 &#xa0;+&#xa0;O 3 ) during the pre-lockdown, partial lockdown, full lockdown and two relaxation periods spanning from January to September 2020. The analysis is based on in situ ground-based air quality observations at over 540 traffic, background and rural stations, from 63 cities and covering 25 countries over seven geographical regions of the world. Anomalies in the air pollutant concentrations (increases or decreases during 2020 periods compared to equivalent 2015-2019 periods) were calculated and the possible effects of meteorological conditions were analysed by computing anomalies from ERA5 reanalyses and local observations for these periods. We observed a positive correlation between the reductions in NO 2 and NOx concentrations and peoples' mobility for most cities. A correlation between PMC and mobility changes was also seen for some Asian and South American cities. A clear signal was not observed for other pollutants, suggesting that sources besides vehicular emissions also substantially contributed to the change in air quality. As a global and regional overview of the changes in ambient concentrations of key air quality species, we observed decreases of up to about 70% in mean NO 2 and between 30% and 40% in mean PM 2.5 concentrations over 2020 full lockdown compared to the same period in 2015-2019. However, PM 2.5 exhibited complex signals, even within the same region, with increases in some Spanish cities, attributed mainly to the long-range transport of African dust and/or biomass burning (corroborated with the analysis of NO 2 /CO ratio). Some Chinese cities showed similar increases in PM 2.5 during the lockdown periods, but in this case, it was likely due to secondary PM formation. Changes in O 3 concentrations were highly heterogeneous, with no overall change or small increases (as in the case of Europe), and positive anomalies of 25% and 30% in East Asia and South America, respectively, with Colombia showing the largest positive anomaly of ~70%. The SO 2 anomalies were negative for 2020 compared to 2015-2019 (between ~25 to 60%) for all regions. For CO, negative anomalies were observed for all regions with the largest decrease for South America of up to ~40%. The NO 2 /CO ratio indicated that specific sites (such as those in Spanish cities) were affected by biomass burning plumes, which outweighed the NO 2 decrease due to the general reduction in mobility (ratio of ~60%). Analysis of the total oxidant (OX&#xa0;=&#xa0;NO 2 &#xa0;+&#xa0;O 3 ) showed that primary NO 2 emissions at urban locations were greater than the O 3 production, whereas at background sites, OX was mostly driven by the regional contributions rather than local NO 2 and O 3 concentrations. The present study clearly highlights the importance of meteorology and episodic contributions (e.g., from dust, domestic, agricultural biomass burning and crop fertilizing) when analysing air quality in and around cities even during large emissions reductions. There is still the need to better understand how the chemical responses of secondary pollutants to emission change under complex meteorological conditions, along with climate change and socio-economic drivers may affect future air quality. The implications for regional and globa","url":"https://pubmed.ncbi.nlm.nih.gov/34425482/","authors":["Sokhi RS","Singh V","Querol X","Finardi S","Targino AC","Andrade MF","Pavlovic R","Garland RM","Massagué J","Kong S","Baklanov A","Ren L","Tarasova O","Carmichael G","Peuch VH","Anand V","Arbilla G","Badali K","Beig G","Belalcazar LC","Bolignano A","Brimblecombe P","Camacho P","Casallas A","Charland JP","Choi J","Chourdakis E","Coll I","Collins M","Cyrys J","da Silva CM","Di Giosa AD","Di Leo A","Ferro C","Gavidia-Calderon M","Gayen A","Ginzburg A","Godefroy F","Gonzalez YA","Guevara-Luna M","Haque SM","Havenga H","Herod D","Hõrrak U","Hussein T","Ibarra S","Jaimes M","Kaasik M","Khaiwal R","Kim J","Kousa A","Kukkonen J","Kulmala M","Kuula J","La Violette N","Lanzani G","Liu X","MacDougall S","Manseau PM","Marchegiani G","McDonald B","Mishra SV","Molina LT","Mooibroek D","Mor S","Moussiopoulos N","Murena F","Niemi JV","Noe S","Nogueira T","Norman M","Pérez-Camaño JL","Petäjä T","Piketh S","Rathod A","Reid K","Retama A","Rivera O","Rojas NY","Rojas-Quincho JP","San José R","Sánchez O","Seguel RJ","Sillanpää S","Su Y","Tapper N","Terrazas A","Timonen H","Toscano D","Tsegas G","Velders GJM","Vlachokostas C","von Schneidemesser E","Vpm R","Yadav R","Zalakeviciute R","Zavala M"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2021 Dec","doi":"10.1016/j.envint.2021.106818","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:43.695Z"},{"id":"pmid:34403922","name":"Stakeholders' perceptions of appropriate nature-based solutions in the urban context.","source":"pubmed","abstract":"The concept of nature-based solutions (NBSs) has become increasingly popular among urban policymakers and planners to help them tackle the urban challenges arising from urban expansion and climate change. Stakeholders' involvement is a fundamental step, and stakeholders' perceptions and preferences can affect the development of NBS projects. This study aims to identify stakeholders' perceptions of the most critical urban challenges, the priority interventions, the preferred NBSs and the benefits of the NBSs, and to identify the determinants of these perceptions. A survey was administered to assess stakeholders' perceptions and views on implementing NBSs in two Portuguese cities with distinct urban, geographical, and socio-economic contexts. A binary logistic regression model was used to understand the determinants of the likelihood of the stakeholders' answers. According to the stakeholders, climate change is one of the main concerns in the urban context. It is usually associated with the incidence of heatwaves and water scarcity. Additionally, stakeholders are concerned about the low quantity and poor management of green spaces (GSs). They believe that it will be necessary to increase the GS, to recover some degraded areas, and to increase mobility. The preferred NBSs were planting more urban trees, making green shaded areas, and rehabilitating riverbanks. The main expected benefits were benefits for leisure and relaxation, reductions in air temperature, purer air, and improvements in public health. The results showed mostly coherent connections between the main concerns/priorities of the stakeholders and the perceived NBS benefits; however, some stakeholders did not present coherent connections, indicating low awareness of the current policy for implementing NBSs to overcome existing and future urban challenges.","url":"https://pubmed.ncbi.nlm.nih.gov/34403922/","authors":["Ferreira V","Barreira AP","Loures L","Antunes D","Panagopoulos T"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2021 Nov 15","doi":"10.1016/j.jenvman.2021.113502","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:43.695Z"},{"id":"pmid:34380740","name":"Predicting the effect of confinement on the COVID-19 spread using machine learning enriched with satellite air pollution observations.","source":"pubmed","abstract":"The real-time monitoring of reductions of economic activity by containment measures and its effect on the transmission of the coronavirus (COVID-19) is a critical unanswered question. We inferred 5,642 weekly activity anomalies from the meteorology-adjusted differences in spaceborne tropospheric NO 2 column concentrations after the 2020 COVID-19 outbreak relative to the baseline from 2016 to 2019. Two satellite observations reveal reincreasing economic activity associated with lifting control measures that comes together with accelerating COVID-19 cases before the winter of 2020/2021. Application of the near-real-time satellite NO 2 observations produces a much better prediction of the deceleration of COVID-19 cases than applying the Oxford Government Response Tracker, the Public Health and Social Measures, or human mobility data as alternative predictors. A convergent cross-mapping suggests that economic activity reduction inferred from NO 2 is a driver of case deceleration in most of the territories. This effect, however, is not linear, while further activity reductions were associated with weaker deceleration. Over the winter of 2020/2021, nearly 1 million daily COVID-19 cases could have been avoided by optimizing the timing and strength of activity reduction relative to a scenario based on the real distribution. Our study shows how satellite observations can provide surrogate data for activity reduction during the COVID-19 pandemic and monitor the effectiveness of containment to the pandemic before vaccines become widely available.","url":"https://pubmed.ncbi.nlm.nih.gov/34380740/","authors":["Xing X","Xiong Y","Yang R","Wang R","Wang W","Kan H","Lu T","Li D","Cao J","Peñuelas J","Ciais P","Bauer N","Boucher O","Balkanski Y","Hauglustaine D","Brasseur G","Morawska L","Janssens IA","Wang X","Sardans J","Wang Y","Deng Y","Wang L","Chen J","Tang X","Zhang R"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2021 Aug 17","doi":"10.1073/pnas.2109098118","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:43.695Z"},{"id":"pmid:34355191","name":"Modeling the effect of reduced traffic due to COVID-19 measures on air quality using a chemical transport model: impacts on the Po Valley and the Swiss Plateau regions.","source":"pubmed","abstract":"The spread of COVID-19 has posed serious challenges for the global communities. To reduce the circulation of the infection, governmental bodies have imposed different lockdown measures at various levels of complexity and duration. As a result, a substantial reduction in mobility might have important, yet unknown, implications for air quality. In this study, we applied the Comprehensive Air quality Model with eXtensions (CAMx) to investigate potential changes in air quality and its chemical composition over northern Italy and Switzerland during periods when lockdown measures were enforced. Our results indicated that lockdown measures reduced nitrogen dioxide (NO 2 ) air concentrations by up to 46% and 25% in the Po Valley and Swiss Plateau regions, respectively, whereas fine particulate matter (PM 2.5 ) air concentrations were reduced only by up to 10% and 6%. This highlights the importance of other emission categories other than traffic for the total PM 2.5 levels. The analysis of the PM 2.5 components indicated that elemental carbon (EC) and particulate nitrate (NO 3 - ) were the species most affected by the lockdown measures, whereas a mild increase in the secondary organic aerosol (SOA) concentrations occurred in the Po Valley, and specifically over the metropolitan area of Milan. Our results indicated that an increase in the oxidation capacity of the atmosphere, i.e. in the &#x2d9;OH and &#x2d9;NO 3 radicals, was mainly responsible for the mild increase in SOA concentrations.","url":"https://pubmed.ncbi.nlm.nih.gov/34355191/","authors":["Ciarelli G","Jiang J","El Haddad I","Bigi A","Aksoyoglu S","Prévôt ASH","Marinoni A","Shen J","Yan C","Bianchi F"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2021 Jul 22","doi":"10.1039/d1ea00036e","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:43.695Z"},{"id":"pmid:34355190","name":"Emerging Investigator Series: COVID-19 lockdown effects on aerosol particle size distributions in northern Italy.","source":"pubmed","abstract":"The lockdown measures implemented to curb the COVID-19 epidemic in Italy reduced human mobility dramatically, which resulted in a marked decline in traffic intensity. In this study, we present the effect of lockdown measures on several air pollutants, particle number size distribution as well as on regional new particle formation (NPF) frequency in the Po Valley (northern Italy). The results show that during the lockdown period, concentrations of nitrogen dioxide (NO 2 ), nitric oxide (NO), benzene (C 6 H 6 ), and toluene (C 7 H 8 ) decreased, while ozone (O 3 ) concentrations mildly increased as compared to the corresponding period in 2016-2019. Unlike gaseous pollutants, particulate matter mass concentrations (PM 2.5 and PM 10 ) showed no significant changes. The impact of lockdown measures on particle number size distributions were also quite limited. During the lockdown period, the number concentrations of 10-25 and 25-50 nm primary particles were reduced by 66% and 34%, respectively, at the regional background site (Ispra) but surprisingly there was no difference during and after lockdown at the urban background site (Modena). Conversely, the NPF frequency was exceptionally high, 70%, in Modena during the lockdown as compared to values (22-26%) observed for the same period in 2006 and 2009, while NPF frequency in Ispra only slightly increased compared to the same period in 2016-2019. The particle growth rates, however, were slightly lower during the lockdown at both sites compared to other periods. The study shows that a drastic decrease in traffic had little influence on particulate pollution levels in the Po Valley, suggesting that other sources and processes also have a prominent impact on particle number and particulate matter mass concentration in this region.","url":"https://pubmed.ncbi.nlm.nih.gov/34355190/","authors":["Shen J","Bigi A","Marinoni A","Lampilahti J","Kontkanen J","Ciarelli G","Putaud JP","Nieminen T","Kulmala M","Lehtipalo K","Bianchi F"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2021 Jul 22","doi":"10.1039/d1ea00016k","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:43.695Z"},{"id":"pmid:34316101","name":"Traffic-induced atmospheric pollution during the COVID-19 lockdown: Dispersion modeling based on traffic flow monitoring in Turin, Italy.","source":"pubmed","abstract":"The COVID-19 pandemic, as a worldwide threat to public health, has led many governments to impose mobility restrictions and adopt partial or full lockdown strategies in many regions to control the disease outbreak. Although these lockdowns are imposed to save public health by reducing the transmission of the virus, rather significant improvements of the air quality in this period have been reported in different areas, mainly as a result of the reduction in vehicular trips. In this research, the city of Turin in the northern part of Italy has been considered as the study area, because of its special meteorology and geographic location in one of the most polluted regions in Europe, and also its high density of vehicular emissions. A Lagrangian approach is applied to illustrate and analyze the effect of imposing full lockdown restrictions on the reduction of traffic-induced air pollution in the city. To do this, the real-time traffic flow during the lockdown period is recorded, and by utilizing CALPUFF version 7, the dispersion of PM 2.5 , Total Suspended Particulate (TSP), Benzo(a)pyrene (BaP), NO x, and Black Carbon (BC) emitted from all circulating vehicles during and before the lockdown period are compared. Results indicate that the concentration of pollutants generated by road traffic sources (including passenger cars, busses, heavy-duty vehicles, light-duty vehicles, mopeds, and motorcycles) reduced at least 70% (for PM 2.5 ) up to 88.1% (for BaP) during the studied period. Concentration maps show that the concentration reduction varied in different areas of the town, mainly due to the characteristics and strength of the emission sources and the geophysical features of the area.","url":"https://pubmed.ncbi.nlm.nih.gov/34316101/","authors":["Ravina M","Esfandabadi ZS","Panepinto D","Zanetti M"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2021 Oct 1","doi":"10.1016/j.jclepro.2021.128425","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:43.695Z"},{"id":"pmid:34252774","name":"Unveiling the changes in urban atmospheric CO(2) in the time of COVID-19 pandemic: A case study of Florence (Italy).","source":"pubmed","abstract":"The outbreak of COVID-19 pandemic was accompanied by global mobility restrictions and slowdown in manufacturing activities. Accordingly, cities experienced a significant decrease of CO 2 emissions. In this study, continuous measurements of CO 2 fluxes, atmospheric CO 2 concentrations and &#x3b4; 13 C-CO 2 values were performed in the historical center of Florence (Italy) before, during and after the almost two-month long national lockdown. The temporal trends of the analyzed parameters, combined with the variations in emitting source categories (from inventory data), evidenced a fast response of flux measurements to variations in the strength of the emitting sources. Similarly, the &#x3b4; 13 C-CO 2 values recorded the change in the prevailing sources contributing to urban atmospheric CO 2 , confirming the effectiveness of carbon isotopic data as geochemical tracers for identifying and quantifying the relative contributions of emitting sources. Although the direct impact of restriction measurements on CO 2 concentrations was less clear due to seasonal trends and background fluctuations, an in-depth analysis of the daily local CO 2 enhancement with respect to the background values revealed a progressive decrease throughout the lockdown phase at the end of the heating season (&gt;10 ppm), followed by a net increase (ca. 5 ppm) with the resumption of traffic. Finally, the investigation of the shape of the frequency distribution of the analyzed variables revealed interesting aspects concerning the dynamics of the systems.","url":"https://pubmed.ncbi.nlm.nih.gov/34252774/","authors":["Venturi S","Randazzo A","Tassi F","Gioli B","Buccianti A","Gualtieri G","Capecchiacci F","Cabassi J","Brilli L","Carotenuto F","Santi R","Vagnoli C","Zaldei A","Vaselli O"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2021 Nov 15","doi":"10.1016/j.scitotenv.2021.148877","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:43.695Z"},{"id":"pmid:34204805","name":"UAV-Based and WebRTC-Based Open Universal Framework to Monitor Urban and Industrial Areas.","source":"pubmed","abstract":"Nowadays, we are observing a rapid development of UAV-based monitoring systems, which are faced with more and more new tasks, such as high temporal resolution and high spatial resolution of measurements, or Artificial Intelligence on board. This paper presents the open universal framework intended for fast prototyping or building a short series of specialized flying monitoring systems able to work in urban and industrial areas. The proposed framework combines mobility of UAV with IoT measurements and full-stack WebRTC communications. WebRTC offers simultaneous transmission of both a real-time video stream and the flow of data coming from sensors, and ensures a kind of protection of data flow, which leads to preserving its near-real-time character and enables contextual communication. Addition of the AI accelerator hardware makes this system AI-ready, i.e., the IoT communication hub, which is the air component of our system, is able to perform tasks of AI-supported computing. The exemplary prototype of this system was evaluated in terms of the ability to work with fast-response sensors, the ability to work with high temporal and high spatial resolutions, video information in poor visibility conditions and AI-readiness. Results show that prototypes based on the proposed framework are able to meet the challenges of monitoring systems in smart cities and industrial areas.","url":"https://pubmed.ncbi.nlm.nih.gov/34204805/","authors":["Chodorek A","Chodorek RR","Sitek P"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2021 Jun 12","doi":"10.3390/s21124061","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:43.695Z"},{"id":"pmid:34204413","name":"Spatial and Socio-Classification of Traffic Pollutant Emissions and Associated Mortality Rates in High-Density Hong Kong via Improved Data Analytic Approaches.","source":"pubmed","abstract":"Excessive traffic pollutant emissions in high-density cities result in thermal discomfort and are associated with devastating health impacts. In this study, an improved data analytic framework that combines geo-processing techniques, social habits of local citizens like traffic patterns and working schedule and district-wise building morphologies was established to retrieve street-level traffic NO x and PM 2.5 emissions in all 18 districts of Hong Kong. The identification of possible human activity regions further visualizes the intersection between emission sources and human mobility. The updated spatial distribution of traffic emission could serve as good indicators for better air quality management, as well as the planning of social infrastructures in the neighborhood environment. Further, geo-processed traffic emission figures can systematically be distributed to respective districts via mathematical means, while the correlations of NO x and mortality within different case studies range from 0.371 to 0.783, while varying from 0.509 to 0.754 for PM 2.5 , with some assumptions imposed in our study. Outlying districts and good practices of maintaining an environmentally friendly transportation network were also identified and analyzed via statistical means. This newly developed data-driven framework of allocating and quantifying traffic emission could possibly be extended to other dense and heavily polluted cities, with the aim of enhancing health monitoring campaigns and relevant policy implementations.","url":"https://pubmed.ncbi.nlm.nih.gov/34204413/","authors":["Mak HWL","Ng DCY"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2021 Jun 17","doi":"10.3390/ijerph18126532","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:43.695Z"},{"id":"pmid:34199593","name":"Investigating Cooking Activity Patterns and Perceptions of Air Quality Interventions among Women in Urban Rwanda.","source":"pubmed","abstract":"Household air pollution (HAP) from biomass cooking with traditional stoves is a major cause of morbidity and mortality in low-and-middle-income countries (LMICs) worldwide. Air quality interventions such as improved cookstoves (ICS) may mitigate HAP-related impacts; however, poor understanding of contextual socio-cultural factors such as local cooking practices have limited their widespread adoption. Policymakers and stakeholders require an understanding of local cooking practices to inform effective HAP interventions which meet end-user needs. A semi-structured questionnaire was administered to 36 women residing in biomass-cooking fuel households in Kigali, Rwanda to identify cooking activity patterns, awareness of HAP-related health risks and ICS intervention preferences. Overall, 94% of respondents exclusively used charcoal cooking fuel and 53% cooked one meal each day (range = 1-3 meals). Women were significantly more likely to cook outdoors compared to indoors (64% vs. 36%; p &lt; 0.05). Over half of respondents (53%) were unaware of HAP-related health risks and 64% had no prior awareness of ICS. Participants expressed preferences for stove mobility (89%) and facility for multiple pans (53%) within an ICS intervention. Our findings highlight the need for HAP interventions to be flexible to suit a range of cooking patterns and preferred features for end-users in this context.","url":"https://pubmed.ncbi.nlm.nih.gov/34199593/","authors":["Campbell CA","Bartington SE","Woolley KE","Pope FD","Thomas GN","Singh A","Avis WR","Tumwizere PR","Uwanyirigira C","Abimana P","Kabera T"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2021 Jun 2","doi":"10.3390/ijerph18115984","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:43.695Z"},{"id":"pmid:36536793","name":"The effect of COVID-19 pandemic on human mobility and ambient air quality around the world: A systematic review.","source":"pubmed","abstract":"We conducted this systematic review to identify and appraise studies investigating the coronavirus disease 2019 (COVID-19) effect on ambient air pollution status worldwide. The review of studies was conducted using determined search terms via three major electronic databases (PubMed, Web of Science, and Scopus) according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) approach. A total of 26 full-text studies were included in our analysis. The lockdown measures related to COVID-19 pandemic caused significant decreases in the concentrations of PM 2.5 , NO 2 , PM 10 , SO 2 and CO globally in the range of 2.9%-76.5%, 18.0%-96.0%, 6.0%-75.0%, 6.8%-49.0% and 6.2%-64.8%, respectively. However, O 3 concentration increased in the range of 2.4%-252.3%. The highest decrease of PM 2.5 was found in 16 states of Malaysia (76.5%), followed by Zaragoza (Spain) with 58.0% and Delhi (India) with 53.1%. The highest reduction of NO 2 was found in Sal&#xe9; city (Morocco) with 96.0%, followed by Mumbai (India) with 75.0%, India with 70.0%, Valencia (Spain) with 69.0%, and S&#xe3;o Paulo (Brazil) with 68.0%, respectively. The highest increase of O 3 was recorded for Milan (Italy) with 252.3% and 169.9% during the first and third phases of lockdown measures, and for Kolkata (India) with 87% at the second phase of lockdown measures. Owing to the lockdown restrictions in the studied countries and cities, driving and public transit as a proxy of human mobilities and the factors affecting emission sources of ambient air pollution decreased in the ranges of 30-88% and 45-94%, respectively. There was a considerable variation in the reduction of ambient air pollutants in the countries and cities as the degree of lockdown measures had varied there. Our results illustrated that the COVID-19 pandemic had provided lessons and extra motivations for comprehensive implementing policies to reduce air pollution and its health effects in the future.","url":"https://pubmed.ncbi.nlm.nih.gov/36536793/","authors":["Faridi S","Yousefian F","Janjani H","Niazi S","Azimi F","Naddafi K","Hassanvand MS","Sasan Faridi","Fatemeh Yousefian","Hosna Janjani","Sadegh Niazi","Faramarz Azimi"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2021 Jul","doi":"10.1016/j.uclim.2021.100888","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:57.841Z"},{"id":"pmid:34153337","name":"Beyond air pollution at home: Assessment of personal exposure to PM(2.5) using activity-based travel demand model and low-cost air sensor network data.","source":"pubmed","abstract":"Assessing personal exposure to air pollution is challenging due to the limited availability of human movement data and the complexity of modeling air pollution at high spatiotemporal resolution. Most health studies rely on residential estimates of outdoor air pollution instead which introduces exposure measurement error. Personal exposure for 100,784 individuals in Los Angeles County was estimated by integrating human movement data simulated from the Southern California Association of Governments (SCAG) activity-based travel demand model with hourly PM 2.5 predictions from my 500&#xa0;m gridded model incorporating low-cost sensor monitoring data. Individual exposures were assigned considering PM 2.5 levels at homes, workplaces, and other activity locations. These dynamic exposures were compared to the residence-based exposures, which do not consider human movement, to examine the degree of exposure estimation bias. The results suggest that exposures were underestimated by 13% (range 5-22%) on average when human movement was not considered, and much of the error was eliminated by accounting for work location. Exposure estimation bias increased for people who exhibited higher mobility levels, especially for workers with long commute distances. Overall, the personal exposures of workers were underestimated by 22% (5-61%) relative to their residence-based exposures. For workers who commute &gt;20 miles, their exposure levels can be at most underestimated by 61%. Omitting mobility resulted in underestimating exposures for people who reside in areas with cleaner air but work in more polluted areas. Similarly, exposures were overestimated for people living in areas with poorer air quality and working in cleaner areas. These could lead to differential estimation biases across racial, ethnic and socioeconomic lines that typically correlate with where people live and work and lead to important exposure and health disparities. This study demonstrates that ignoring human movement and spatiotemporal variability of air pollution could lead to differential exposure misclassification potentially biasing health risk assessments. These improved dynamic approaches can help planners and policymakers identify disadvantaged populations for which exposures are typically misrepresented and might lead to targeted policy and planning implications.","url":"https://pubmed.ncbi.nlm.nih.gov/34153337/","authors":["Lu Y"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2021 Oct","doi":"10.1016/j.envres.2021.111549","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:43.695Z"},{"id":"pmid:34127873","name":"Impacts of partial to complete COVID-19 lockdown on NO(2) and PM(2.5) levels in major urban cities of Europe and USA.","source":"pubmed","abstract":"SARS CoV-2 (COVID-19) coronavirus has been causing enormous suffering, death, and economic losses worldwide. There are rigorous containment measures on industries, non-essential business, transportation, and citizen mobility to check the spread. The lockdowns may have an advantageous impact on reducing the atmospheric pollutants. This study has analyzed the change in atmospheric pollutants, based on the Sentinel-5Ps and ground-station observed data during partial to complete lockdown period in 2020. Results revealed that the mean tropospheric NO 2 concentration substantially dropped in 2020 due to lockdown against the same period in 2019 by 18-40% over the major urban areas located in Europe (i.e. Madrid, Milan, Paris) and the USA (i.e. New York, Boston, and Springfield). Conversely, urban areas with partial to no lockdown measures (i.e. Warsaw, Pierre, Bismarck, and Lincoln) exhibited a relatively lower dropdown in mean NO 2 concentration (3 to 7.5%). The role of meteorological variability was found to be negligible. Nevertheless, the reduced levels of atmospheric pollutants were primarily attributed to the shutdown of vehicles, power plants, and industrial emissions. Improvement in air quality during COVID-19 may be temporary, but regulatory bodies should learn to reduce air pollution on a long-term basis concerning the trade-offs between the environment, society, and economic growth. The intersection of urban design, health, and environment should be addressed by policy-makers to protect public health and sustainable urban policies could be adopted to build urban resilience against any future emergencies.","url":"https://pubmed.ncbi.nlm.nih.gov/34127873/","authors":["Bar S","Parida BR","Mandal SP","Pandey AC","Kumar N","Mishra B"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2021 Oct","doi":"10.1016/j.cities.2021.103308","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:43.695Z"},{"id":"pmid:34090072","name":"Scavenging of submicron aerosol particles in a suburban atmosphere: The raindrop size factor.","source":"pubmed","abstract":"This paper studies the below-cloud scavenging caused by precipitation on ultrafine and accumulation modes, as well as the role of the different raindrop sizes in an urban environment. The equipment used to measure aerosol particles and raindrop variables includes a scanning mobility particle sizer spectrometer-SMPS and a Laser Precipitation Monitor (LPM), respectively. An analysis of the scavenging efficiency and the scavenging coefficient (&#x3bb;) by modes and rain intensities was carried out. The main results observed have been: i) the nucleation (between 14 and 30&#xa0;nm), Aitken (between 30 and 100&#xa0;nm), accumulation 1 (between 100 and 300) and accumulation 2 (between 300 and 1000&#xa0;nm) modes presented a scavenging efficiency of 15, 4, 22 and 21%, respectively; ii) events with rain intensities between 1 and 3&#xa0;mm&#xa0;h -1 caused less scavenging in all modes; iii) raindrop sizes between 1.25 and 3.5&#xa0;mm scavenged mainly particle sizes between 70 and 250&#xa0;nm. Lower scavenging was observed on particle sizes &gt;300&#xa0;nm, and particle sizes &gt;600&#xa0;nm were only scavenged by raindrop sizes &gt;4.75&#xa0;mm; iv) the respirable fraction before and after the rain events presented a statically significant decrease of -35%. The combination in this study of SMPS and disdrometer measurements has resulted in a more detailed characterization of the influence of this process on the submicrometer aerosol fraction, noting that below-cloud scavenging is one of the main removal pathways for submicrometer aerosol particles. This study thus contributes to improving the current state of knowledge of below-cloud scavenging.","url":"https://pubmed.ncbi.nlm.nih.gov/34090072/","authors":["Blanco-Alegre C","Calvo AI","Castro A","Oduber F","Alonso-Blanco E","Fraile R"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2021 Sep 15","doi":"10.1016/j.envpol.2021.117371","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:43.695Z"},{"id":"pmid:34068742","name":"Assessment of Home-Based and Mobility-Based Exposure to Black Carbon in an Urban Environment: A Pilot Study.","source":"pubmed","abstract":"The combustion of fossil fuels is a significant source of particulate-bound black carbon (BC) in urban environments. The personal exposure (PE) of urban dwellers to BC and subsequent health impacts remain poorly understood due to a lack of observational data. In this study, we assessed and quantified the levels of PE to BC under two exposure scenarios (home-based and mobility-based exposure) in the city of Trivandrum in India. In the home-based scenario, the PE to BC was assessed in a naturally ventilated building over 24 h each day during the study period while in the mobility-based scenario, the PE to BC was monitored across diverse microenvironments (MEs) during the day using the same study protocol for consistency. Elevated BC concentrations were observed during the transport by motorcycle (26.23 &#xb1; 2.33 &#xb5;g/m 3 ) and car (17.49 &#xb1; 2.37 &#xb5;g/m 3 ). The BC concentrations observed in the MEs decreased in the following order: 16.58 &#xb1; 1.38 &#xb5;g/m 3 (temple), 13.78 &#xb1; 2.07 &#xb5;g/m 3 (restaurant), 11.44 &#xb1; 1.37 &#xb5;g/m 3 (bus stop), and 8.27 &#xb1; 1.88 &#xb5;g/m 3 (home); the standard deviations represent the temporal and spatial variations of BC concentrations. Overall, a relatively larger inhaled dose of BC in the range of 148.98-163.87 &#xb5;g/day was observed for the mobility-based scenario compared to the home-based one (118.10-137.03 &#xb5;g/day). This work highlights the importance of reducing PE to fossil fuel-related particulate emissions in cities for which BC is a good indicator. The study outcome could be used to formulate effective strategies to improve the urban air quality as well as public health.","url":"https://pubmed.ncbi.nlm.nih.gov/34068742/","authors":["Adam MG","Tran PTM","Cheong DKW","Chandra Sekhar S","Tham KW","Balasubramanian R"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2021 May 10","doi":"10.3390/ijerph18095028","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:43.695Z"},{"id":"pmid:34066019","name":"Smart Cities of the Future as Cyber Physical Systems: Challenges and Enabling Technologies.","source":"pubmed","abstract":"A smart city represents an improvement of today's cities, both functionally and structurally, that strategically utilizes several smart factors, capitalizing on Information and Communications Technology (ICT) to increase the city's sustainable growth and strengthen the city's functions, while ensuring the citizens' enhanced quality of life and health. Cities can be viewed as a microcosm of interconnected \"objects\" with which citizens interact daily, which represents an extremely interesting example of a cyber physical system (CPS), where the continuous monitoring of a city's status occurs through sensors and processors applied within the real-world infrastructure. Each object in a city can be both the collector and distributor of information regarding mobility, energy consumption, air pollution as well as potentially offering cultural and tourist information. As a consequence, the cyber and real worlds are strongly linked and interdependent in a smart city. New services can be deployed when needed, and evaluation mechanisms can be set up to assess the health and success of a smart city. In particular, the objectives of creating ICT-enabled smart city environments target (but are not limited to) improved city services; optimized decision-making; the creation of smart urban infrastructures; the orchestration of cyber and physical resources; addressing challenging urban issues, such as environmental pollution, transportation management, energy usage and public health; the optimization of the use and benefits of next generation (5G and beyond) communication; the capitalization of social networks and their analysis; support for tactile internet applications; and the inspiration of urban citizens to improve their quality of life. However, the large scale deployment of cyber-physical-social systems faces a series of challenges and issues (e.g., energy efficiency requirements, architecture, protocol stack design, implementation, and security), which requires more smart sensing and computing methods as well as advanced networking and communications technologies to provide more pervasive cyber-physical-social services. In this paper, we discuss the challenges, the state-of-the-art, and the solutions to a set of currently unresolved key questions related to CPSs and smart cities.","url":"https://pubmed.ncbi.nlm.nih.gov/34066019/","authors":["Puliafito A","Tricomi G","Zafeiropoulos A","Papavassiliou S"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2021 May 12","doi":"10.3390/s21103349","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:43.695Z"},{"id":"pmid:34030280","name":"Lessons from the COVID-19 air pollution decrease in Spain: Now what?","source":"pubmed","abstract":"We offer an overview of the COVID-19 -driven air quality changes across 11 metropolises in Spain with the focus on lessons learned on how continuing abating pollution. Traffic flow decreased by up to 80% during the lockdown and remained relatively low during the full relaxation (June and July). After the lockdown a significant shift from public transport to private vehicles (+21% in Barcelona) persisted due to the pervasive fear that using public transport might increase the risk of SARS-CoV-2 infection, which need to be reverted as soon as possible. NO 2 levels fell below 50% of the WHO annual air quality guidelines (WHOAQGs), but those of PM 2.5 were reduced less than expected due to the lower contributions from traffic, increased contributions from agricultural and domestic biomass burning, or meteorological conditions favoring high secondary aerosol formation yields. Even during the lockdown, the annual PM 2.5 WHOAQG was exceeded in cities within the NE and E regions with high NH 3 emissions from farming and agriculture. Decreases in PM 10 levels were greater than in PM 2.5 due to reduced emissions from road dust, vehicle wear, and construction/demolition. Averaged O 3 daily maximum 8-h (8hDM) experienced a generalized decrease in the rural receptor sites in the relaxation (June-July) with -20% reduced mobility. For urban areas O 3 8hDM responses were heterogeneous, with increases or decreases depending on the period and location. Thus, after canceling out the effect of meteorology, 5 out of 11 cities experienced O 3 decreases during the lockdown, while the remaining 6 either did not experience relevant reductions or increased. During the relaxation period and coinciding with the growing O 3 season (June-July), most cities experienced decreases. However, the O 3 WHOAQG was still exceeded during the lockdown and full relaxation periods in several cities. For secondary pollutants, such as O 3 and PM 2.5 , further chemical and dispersion modeling along with source apportionment techniques to identify major precursor reduction targets are required to evaluate their abatement potential.","url":"https://pubmed.ncbi.nlm.nih.gov/34030280/","authors":["Querol X","Massagué J","Alastuey A","Moreno T","Gangoiti G","Mantilla E","Duéguez JJ","Escudero M","Monfort E","Pérez García-Pando C","Petetin H","Jorba O","Vázquez V","de la Rosa J","Campos A","Muñóz M","Monge S","Hervás M","Javato R","Cornide MJ"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2021 Jul 20","doi":"10.1016/j.scitotenv.2021.146380","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:43.695Z"},{"id":"pmid:33940341","name":"Increased ozone pollution alongside reduced nitrogen dioxide concentrations during Vienna's first COVID-19 lockdown: Significance for air quality management.","source":"pubmed","abstract":"Lockdowns amid the COVID-19 pandemic have offered a real-world opportunity to better understand air quality responses to previously unseen anthropogenic emission reductions.","url":"https://pubmed.ncbi.nlm.nih.gov/33940341/","authors":["Brancher M"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2021 Sep 1","doi":"10.1016/j.envpol.2021.117153","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:43.695Z"},{"id":"pmid:33930721","name":"DTEx: A dynamic urban thermal exposure index based on human mobility patterns.","source":"pubmed","abstract":"Extreme heat in light of climate change is increasingly threatening the health and comfort of urban residents. Understanding spatio-temporal patterns of heat exposure is a critical factor in directing mitigation measures. Current heat vulnerability indices provide insight into heat sensitivities within given communities but do not account for the dynamic nature of the human movement as people travel for different activities. Here, we present a new Dynamic urban Thermal Exposure index (DTEx) that captures the varying heat exposure within urban environments.","url":"https://pubmed.ncbi.nlm.nih.gov/33930721/","authors":["Yin Y","Grundstein A","Mishra DR","Ramaswamy L","Hashemi Tonekaboni N","Dowd J"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2021 Oct","doi":"10.1016/j.envint.2021.106573","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:43.695Z"},{"id":"pmid:33928063","name":"Health, Transport and the Environment: The Impacts of the COVID-19 Lockdown on Air Pollution.","source":"pubmed","abstract":"Lockdown measures were initiated in Italy on March 9th after the start of the SARS-CoV-2 epidemic to flatten the epidemic curve. The aim of the present study was to assess the impact of restrictive measures in the Apulia Region, southern Italy, on air quality from March to April 2020. We applied a dual-track approach. We assessed citizen mobility and vehicle traffic with mobility network data and information obtained from satellite tracking, and we evaluated and compared pollutant concentration data as measured by monitoring stations maintained by the Regional Agency for Environmental Protection and Prevention of Apulia (ARPA). The results showed a decrease in the weekly mean NO 2 concentration recorded by urban traffic stations during the lockdown period. In particular, in the city of Bari, the average NO 2 concentration decreased from 62.2 &#x3bc;g/m 3 in March 2019 to 48.2 &#x3bc;g/m 3 in March 2020. Regarding PM10 levels, the average concentrations at the individual traffic stations showed no particular variation compared to those in the same months of the previous year, except for Bari-Caldarola Station in March 2019/2020 ( p -value &lt; 0.001) and in April 2019/2020 ( p -value = 0.04). In particular the average in March 2019 was ~26.9 &#x3bc;g/m 3 , while that in March 2020 was ~22.9 &#x3bc;g/m 3 . For April, the average concentration of PM10 in 2019 was 27.9 &#x3bc;g/m 3 , while in 2020, the average was ~22.4 &#x3bc;g/m 3 . This can be explained by the fact that PM10 levels are influenced by multiple variables such as weather and climate conditions and desert dust advections.","url":"https://pubmed.ncbi.nlm.nih.gov/33928063/","authors":["De Maria L","Caputi A","Tafuri S","Cannone ESS","Sponselli S","Delfino MC","Pipoli A","Bruno V","Angiuli L","Mucci N","Ledda C","Vimercati L"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2021","doi":"10.3389/fpubh.2021.637540","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:43.695Z"},{"id":"pmid:33824634","name":"Using urban landscape pattern to understand and evaluate infectious disease risk.","source":"pubmed","abstract":"COVID-19 case numbers in 161 sub-districts of Wuhan were investigated based on landscape epidemiology, and their landscape metrics were calculated based on land use/land cover (LULC). Initially, a mediation model verified a partially mediated population role in the relationship between landscape pattern and infection number. Adjusted incidence rate (AIR) and community safety index (CSI), two indicators for infection risk in sub-districts, were 25.82&#x223c;63.56 &#x2031; and 3.00&#x223c;15.87 respectively, and central urban sub-districts were at higher infection risk. Geographically weighted regression (GWR) performed better than OLS regression with AICc differences of 7.951&#x223c;181.261. The adjusted R 2 in GWR models of class-level index and infection risk were 0.697 to 0.817, while for the landscape-level index they were 0.668 to 0.835. Secondly, 16 key landscape metrics were identified based on GWR, and then a prediction model for infection risk in sub-districts and communities was developed. Using principal component analysis (PCA), development intensity, landscape level, and urban blue-green space were considered to be principal components affecting disease infection risk, explaining 73.1 % of the total variance. Cropland (PLAND and LSI), urban land (NP, LPI, and LSI) and unused land (NP) represent development intensity, greatly affecting infection risk in urban areas. Landscape level CONTAG, DIVISION, SHDI, and SHEI represent mobility and connectivity, having a profound impact on infection risk in both urban and suburban areas. Water (PLAND, NP, LPI, and LSI) and woodland (NP, and LSI) represent urban blue-green spaces, and were particularly important for infection risk in suburban areas. Based on urban landscape pattern, we proposed a framework to understand and evaluate infection risk. These findings provide a basis for risk evaluation and policy-making of urban infectious disease, which is significant for community management and urban planning for infectious disease worldwide.","url":"https://pubmed.ncbi.nlm.nih.gov/33824634/","authors":["Ye Y","Qiu H"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2021 Jul","doi":"10.1016/j.ufug.2021.127126","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:43.695Z"},{"id":"pmid:33800192","name":"Academically Produced Air Pollution Sensors for Personal Exposure Assessment: The Canarin Project.","source":"pubmed","abstract":"The World Health Organization has estimated that air pollution is a major threat to health, causing approximately nine million premature deaths every year. Each individual has, over their lifetime, a unique exposure to air pollution through their habits, working and living conditions. Medical research requires dedicated tools to assess and understand individual exposure to air pollution in view of investigating its health effects. This paper presents portable sensors produced by the Canarin Project that provides accessible, real time personal exposure data to particulate matter. Our primary results demonstrate the use of portable sensors for the assessment of personal exposure to the different micro-environments attended by individuals, and for inspecting the short-term effects of air pollution through the example of sleep apnea. These findings underscore the necessity of obtaining contextual data in determining environmental exposure and give perspectives for the future of air pollution sensors dedicated to medical research.","url":"https://pubmed.ncbi.nlm.nih.gov/33800192/","authors":["Dessimond B","Annesi-Maesano I","Pepin JL","Srairi S","Pau G"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2021 Mar 8","doi":"10.3390/s21051876","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:43.695Z"},{"id":"pmid:33774300","name":"Marginal warming associated with a COVID-19 quarantine and the implications for disease transmission.","source":"pubmed","abstract":"During January-February 2020, parts of China faced restricted mobility under COVID-19 quarantines, which have been associated with improved air quality. Because particulate pollutants scatter, diffuse, and absorb incoming solar radiation, a net negative radiative forcing, decreased air pollution can yield surface warming. As such, this study (1) documents the evolution of China's January-February 2020 air temperature and concurrent particulate changes; (2) determines the temperature response related to reduced particulates during the COVID-19 quarantine (C19Q); and (3) discusses the conceptual implications for temperature-dependent disease transmission. C19Q particulate evolution is monitored using satellite analyses, and concurrent temperature anomalies are diagnosed using surface stations and Aqua AIRS imagery. Meanwhile, two WRF-Chem simulations are forced by normal emissions and the satellite-based urban aerosol changes, respectively. Urban aerosols decreased from 27.1% of pre-C19Q aerosols to only 17.5% during C19Q. WRF-Chem resolved ~0.2&#xa0;&#xb0;C warming across east-central China, that represented a minor, though statistically significant contribution to C19Q temperature anomalies. The largest area of warming is concentrated south of Chengdu and Wuhan where temperatures increased between +0.2-0.3&#xa0;&#xb0;C. The results of this study are important for understanding the anthropogenic forcing on regional meteorology. Epidemiologically, the marginal, yet persistent, warming during C19Q may retard temperature-dependent disease transmission, possibly including SARS-CoV-2.","url":"https://pubmed.ncbi.nlm.nih.gov/33774300/","authors":["Miller PW","Reesman C","Grossman MK","Nelson SA","Liu V","Wang P"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2021 Aug 1","doi":"10.1016/j.scitotenv.2021.146579","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:43.695Z"},{"id":"pmid:33745929","name":"The impacts of COVID-19 lockdown on PM(10) and SO(2) concentrations and association with human mobility across Turkey.","source":"pubmed","abstract":"The SARS-CoV-2 virus pandemic (COVID-19) has caused 2.25 million deaths worldwide by February 3, 2021 (JHU, 2021) and still causing severe health and economic disruptions with increasing rates. This study investigates the impact of lockdown measures on ambient air pollution and its association with human mobility in 81 cities of Turkey. We conducted a countrywide analysis using PM 10 and SO 2 measurement data by the Turkish Ministry of Environment and Urbanization and mobility data derived from cellular device movement by Google. We observed the most significant change in April 2020. PM 10 and SO 2 concentrations were lower in 67% and 59% of the cities, respectively in April 2020 compared to the previous five years (2015-2019). The correlation results show that Restaurant/Caf&#xe9;, Transit, and Workplaces mobility is significantly correlated with PM 10 and SO 2 concentration levels in Turkey. This study is the first step of a long-term investigation to understand the air quality impacts on population susceptibility to COVID-19.","url":"https://pubmed.ncbi.nlm.nih.gov/33745929/","authors":["Orak NH","Ozdemir O"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2021 Jun","doi":"10.1016/j.envres.2021.111018","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:43.695Z"},{"id":"pmid:33742851","name":"[Size Distribution of Aerosol Hygroscopic Growth Factors in Winter in Tianjin].","source":"pubmed","abstract":"Aerosol hygroscopic growth factors[ g (RH)] are key for evaluating aerosol light extinction and direct radiative forcing. The hygroscopic tandem differential mobility analyzer (HTDMA) was utilized to measure the size-resolved g m (RH) under different polluted conditions in winter in Tianjin. Furthermore, based on the size distribution of aerosol water-soluble ions, the g &#x3ba; (RH) across a wide size range (60 nm to 9.8 &#x3bc;m) was estimated using the &#x3ba; -K&#xf6;hler theory, which provides a basis for the estimation of aerosol optical parameters and direct radiative forcing under ambient conditions. Under clean conditions, ultrafine particles (&lt;100 nm) were more hygroscopic and g m (RH=80%) was higher than 1.30 due to the active photolysis reaction. However, under severely polluted conditions, the proportion of water-soluble ions in aerosols increased with the increasing size; g m (RH) increased with particle size, where g m (RH=80%) and g m (RH=85%) for 300 nm particles was 1.39 and 1.46, respectively. For a wide size range (60 nm to 9.8 &#x3bc;m), the aerosols in the accumulation mode were more hygroscopic and aerosols in the Aitken mode were less hygroscopic, with coarse mode aerosols being the least hygroscopic. During the polluted period, the particulate size notably increased, and the mass fraction of NO 3 - and SO 4 2- in the accumulation mode aerosols was significantly higher than during the clean period. Accordingly, the hygroscopicity of accumulation mode aerosols was strongly enhanced during the polluted period[ g &#x3ba; (RH)=1.3-1.4] and aerosols in the 0.18-3.1 &#x3bc;m size range all had a strong hygroscopicity. On polluted days, the synergistic effect of the increase in particle size, water-soluble ions, and aerosol hygroscopicity results in the considerable deterioration of visibility.","url":"https://pubmed.ncbi.nlm.nih.gov/33742851/","authors":["Ding J","Zhang YF","Zheng NY","Zhang HT","Yu ZJ","Li LW","Yuan J","Tang M","Feng YC"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2021 Feb 8","doi":"10.13227/j.hjkx.202007273","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:43.695Z"},{"id":"pmid:33686370","name":"COVID-19 in Europe: Dataset at a sub-national level.","source":"pubmed","abstract":"The COVID-19 pandemic has hit humanity, straining health care systems, economies, and governments worldwide. In one of the responses to the pandemic, a big global effort has been mounted to collect, analyze, and make data publicly available. However, many of the existing COVID-19 public datasets are (i) aggregated at country level, and (ii) tend not to bring the COVID-19-specific data coupled with socio-demographic, economic, public policy, health, pollution and environmental factors, all of which may be key elements to study the transmission of the SARS-CoV-2 and its severity. To aid the evaluation of the determinants and impact of the COVID-19 pandemic at a large scale, we present here a new dataset with socio-demographic, economic, public policy, health, pollution and environmental factors for the European Union at the small regions level (NUTS3). The database is freely accessible at http://dx.doi.org/10.17632/2ghxnrkr9p.4. This dataset can help to monitor the COVID-19 mortality and infections at the sub-national level and enable analysis that may inform future policymaking.","url":"https://pubmed.ncbi.nlm.nih.gov/33686370/","authors":["Omrani H","Modroiu M","Lenzi J","Omrani B","Said Z","Suhrcke M","Tchicaya A","Nguyen N","Parmentier B"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2021 Apr","doi":"10.1016/j.dib.2021.106939","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:43.695Z"},{"id":"pmid:35582632","name":"A Short-Term Prediction Model at the Early Stage of the COVID-19 Pandemic Based on Multisource Urban Data.","source":"pubmed","abstract":"The ongoing coronavirus disease 2019 (COVID-19) pandemic spread throughout China and worldwide since it was reported in Wuhan city, China in December 2019. 4 589 526 confirmed cases have been caused by the pandemic of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), by May 18, 2020. At the early stage of the pandemic, the large-scale mobility of humans accelerated the spread of the pandemic. Rapidly and accurately tracking the population inflow from Wuhan and other cities in Hubei province is especially critical to assess the potential for sustained pandemic transmission in new areas. In this study, we first analyze the impact of related multisource urban data (such as local temperature, relative humidity, air quality, and inflow rate from Hubei province) on daily new confirmed cases at the early stage of the local pandemic transmission. The results show that the early trend of COVID-19 can be explained well by human mobility from Hubei province around the Chinese Lunar New Year. Different from the commonly-used pandemic models based on transmission dynamics, we propose a simple but effective short-term prediction model for COVID-19 cases, considering the human mobility from Hubei province to the target cities. The performance of our proposed model is validated by several major cities in Guangdong province. For cities like Shenzhen and Guangzhou with frequent population flow per day, the values of [Formula: see text] of daily prediction achieve 0.988 and 0.985. The proposed model has provided a reference for decision support of pandemic prevention and control in Shenzhen.","url":"https://pubmed.ncbi.nlm.nih.gov/35582632/","authors":["Wang R","Ji C","Jiang Z","Wu Y","Yin L","Li Y"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2021 Aug","doi":"10.1109/TCSS.2021.3060952","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:43.695Z"},{"id":"pmid:33610998","name":"Elucidating long-term trends, seasonal variability, and local impacts from thirteen years of near-road particle size data (2006-2019).","source":"pubmed","abstract":"Significant attention, especially in the last decade, has been focussed on elevated concentrations of ultrafine particulate matter (UFP) in urban areas and the adverse health effects associated with exposure to UFP. Despite this, there is a relative scarcity of long-term ambient UFP measurements. This study examined trends in UFP measurements made continuously near a busy roadway in downtown Toronto, Canada, between the years 2006 and 2019 using a fast mobility particle sizer (FMPS). These long-term trends were associated with other air pollutant concentrations-namely: nitric oxide (NO), nitrogen dioxide (NO 2 ), sulphur dioxide (SO 2 ), and fine particulate matter mass concentrations (PM 2.5 )-and persistent declining trends were observed for each during the study period. From 2006 to 2019, reductions of 45%, 68%, 39%, 83%, and 41%, for UFP, NO, NO 2 , SO 2 , and PM 2.5 , respectively, were observed. These reductions are in part associated with a total phase-out of coal-fired electricity generation in Ontario, Canada, between 2004 and 2015, and continuous improvements in vehicle emissions control technologies. Additionally, deconvolution of the time-series yielded seasonal fluctuations which were analysed as a function of particle diameter and ambient temperature, the results from which may aid in the comparison of UFP measurements made in climates with different ambient temperature ranges in a meaningful way. Finally, the UFP data were background-subtracted and it was found that local sources (such as vehicle traffic) contributed ~45% to total concentrations and this fraction remained relatively constant throughout the study. A multilinear function regressed on these local and background concentrations better elucidated the sources contributing to UFP variability-background concentrations were largely covariate with SO 2 emissions whereas local concentrations were more affected by NO emissions. The data in this study shows clear co-benefits to reducing UFP concentrations by targeting NO x and SO x emissions.","url":"https://pubmed.ncbi.nlm.nih.gov/33610998/","authors":["Hilker N","Jeong CH","Wang JM","Evans GJ"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2021 Jun 20","doi":"10.1016/j.scitotenv.2021.145028","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:43.695Z"},{"id":"pmid:36569605","name":"Improvements in air quality in the Netherlands during the corona lockdown based on observations and model simulations.","source":"pubmed","abstract":"The lockdown measures in response to the SARS-CoV-2 virus outbreak in 2020 have resulted in reductions in emissions of air pollutants and corresponding ambient concentrations. In the Netherlands, the most stringent lockdown measures were in effect from March to May 2020. These measures coincided with a period of unusual meteorological conditions with wind from the north-east and clear-sky conditions, which complicates the quantification of the effect of the lockdown measures on the air quality. Here we quantify the lockdown effects on the concentrations of nitrogen oxides (NO x and NO 2 ), particulate matter (PM 10 and PM 2.5 ) and ozone (O 3 ) in the Netherlands, by analyzing observations and simulations with the atmospheric chemistry-transport model EMEP/MSC-W in its EMEP4NL configuration, after eliminating the effects of meteorological conditions during the lockdown. Based on statistical analyses with a Random Forest method, we estimate that the lockdown reduced observed NO 2 concentrations by 30% (95% confidence interval 25-35%), 26% (21-32%), and 18% (10-25%) for traffic, urban, and rural background locations, respectively. Slightly smaller reductions of 8-28% are found with the EMEP4NL simulations for urban and regional background locations based on estimates in reductions in economic activity and emissions of traffic and industry in the Netherlands and other European countries. Reductions in observed PM 2.5 concentrations of about 20% (10-25%) are found for all locations, which is somewhat larger than the estimates of 5-16% based on the model simulations. A comparison of the calculated NO 2 traffic contributions with observations shows a substantial drop of about 35% in traffic contributions during the lockdown period, which is similar to the estimated reductions in mobility data as reported by Apple and Google. Since the largest health effects related to air pollution in the Netherlands are associated with exposure to PM 10 and PM 2.5 , the lockdown measures in spring of 2020 have temporarily improved the air quality in the Netherlands. The concentrations of the most health relevant compounds have only been reduced by about 10-25%.","url":"https://pubmed.ncbi.nlm.nih.gov/36569605/","authors":["Velders GJM","Willers SM","Wesseling J","den Elshout SV","van der Swaluw E","Mooibroek D","van Ratingen S"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2021 Feb 15","doi":"10.1016/j.atmosenv.2020.118158","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:43.695Z"},{"id":"pmid:33581535","name":"Environmental impact of mutualized mobility: Evidence from a life cycle perspective.","source":"pubmed","abstract":"Today's urban transportation systems face increasing challenges such as greenhouse gas (GHG) emissions, urban air quality, and traffic congestion. In this context, various initiatives of mutualized mobility have emerged. However, notably lacking is assessing the environmental impacts of mutualized transportation modes from a life cycle perspective. Using the actual urban transportation big data and related product life cycle data, this study combined with the life cycle assessment methodology and a \"bottom-up\" approach, explores the effect of mutualized mobility on greenhouse gas emissions of urban transportation systems for both Beijing and Toronto. The results showed that mutualized mobility might positively affect the sustainability of urban transport systems, albeit in very different ways. In Toronto, the annual per capita greenhouse gas emissions in 2016 decreased by 2.8&#xa0;kg of carbon dioxide equivalent (CO 2 -eq) compared to 2011. Both carpooling and car-sharing displayed a higher curbing potential than ride-hailing. In a city characterized by higher population density like Beijing, ride-hailing created negative impacts. Deadheading (i.e., pulling an empty trailer) was the critical factor affecting ride-hailing's environmental performance, which accounted for about 30% of the total vehicle life cycle emissions. Counter-intuitively, greenhouse gas emissions of station-based bike-sharing (SBBS) were almost six times that of privately-owned bicycles and even higher than public transportation. This study's results can be used as a starting base for decision-makers to devise more appropriate strategies and programs to promote the sustainability of mutualized mobility and urban transportation systems. Meanwhile, it can also help the public at large to better understand the characteristics and environmental impacts of mutualized mobility to adopt more sustainable mutualized mobility alternatives.","url":"https://pubmed.ncbi.nlm.nih.gov/33581535/","authors":["Sun S","Ertz M"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2021 Jun 10","doi":"10.1016/j.scitotenv.2021.145014","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:43.695Z"},{"id":"pmid:33552884","name":"COVID-19 induced lockdown and decreasing particulate matter (PM10): An empirical investigation of an Asian megacity.","source":"pubmed","abstract":"The air quality in the cities of developing countries is deteriorating with the proliferation of anthropogenic activities that add pollutant matters in the lower part of the troposphere. Particulate matter with an aerodynamic diameter lower than 10&#x202f;&#x3bc;m (PM 10 ) is considered one of the direct indicators of air quality in an urban area as it brings health morbidities. The article empirically investigates the role COVID-19 related lockdown has played in bringing down pollution level (PM 10 ) in the megacity of Kolkata. It does so by taking account of PM 10 level in three stages - pre, presage and complete-lockdown timelines. The extracted results show a significant declining trend (about 77% vis-a-vis the pre-lockdown period) with 95% of the geographical area under 100&#x202f;&#x3bc;m/m 3 and a strong fit with the station-based records. The feasibility and robustness showed by the remotely sensed data along with other earth observatory information for larger-scale pollution prevalence make its adoption imperative. Simultaneously, it becomes urgent in times of lockdown when the physical mobility of maintenance and research staff to stations is significantly curtailed. The work contributes to study on PM 10 by its ability to replicate in examining cities of both the global north and global south.","url":"https://pubmed.ncbi.nlm.nih.gov/33552884/","authors":["Gayen A","Haque SM","Mishra SV"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2021 Mar","doi":"10.1016/j.uclim.2021.100786","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:43.695Z"},{"id":"pmid:33549884","name":"Insights into the chemistry of aerosol growth in Beijing: Implication of fine particle episode formation during wintertime.","source":"pubmed","abstract":"Nucleation particle growth plays a major role in the occurrence of fine particles, yet the mechanism of new particle formation (NPF) remains ambiguous in the complex atmosphere of megacities and hinders the development of measures to mitigate PM 2.5 pollution. In this study, the chemistry of ultrafine particles during the growth phase of nucleation events was investigated in urban Beijing from Nov. 15, 2018 to Jan. 15, 2019, using two scanning mobility particle spectrometers (SMPS) systems and an Aerodyne high-resolution time-of-flight aerosol mass spectrometer (HR-ToF-AMS). During this intense campaign, 11 NPF events were observed and the growth rate (GR) of nanoparticles ranged from 12.5 to 24.5&#xa0;nm&#xa0;h -1 . Four periodic cycles of PM 2.5 episodes that included aerosol particle growth to particulate matter pollution were identified. Based on the Q GR - Q AMS theoretical frame that exploring the balance between the source rate of condensable vapors and the observed growth rate of nanoparticles, we clearly showed the physical and chemical evolution of nano-particle during the growth processes to ambient-atmosphere sizes (&gt;100&#xa0;nm). Generally, the modal diameter of aerosol particles grew by more than 100&#xa0;nm (7 out of 11 NPF events) when the nitrate concentration and less-oxidized oxygenated organic aerosol (LO-OOA) were high; however, another class of aerosol particle growth was limited to 50-100&#xa0;nm (3 out of 11 NPF events) when sulfate was high. Note that the remaining one NPF event could not be identified if it can grow up to 100&#xa0;nm or not due to the unavailable of observation data during the late growth stage. By linking the aerosol growth with chemical compositions, sulfate and organics were found to be the main contributors during the initial stage of the aerosol growth, while cooking-related OA (COA) enhanced the transition stage, and nitrate and more-oxidized OOA (MO-OOA) dominated the subsequent growth of aerosol to ambient-atmosphere sizes. An important portion of aerosol growth in PM 2.5 was controlled by semi-volatile organic vapors, which can partition into the externally condensed phase of the accumulation mode and coarse mode via the physical process of adsorption. Through quantifying the physical and chemical properties of aerosol particle growth, the detail processes of nucleation initiated PM 2.5 pollution episodes were evaluated and provided observational evidence on the formation mechanism of winter haze pollution in the megacity of Beijing.","url":"https://pubmed.ncbi.nlm.nih.gov/33549884/","authors":["Yang S","Liu Z","Li J","Zhao S","Xu Z","Gao W","Hu B","Wang Y"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2021 Jul","doi":"10.1016/j.chemosphere.2021.129776","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:43.695Z"},{"id":"pmid:33471280","name":"Mortality Implications of Increased Active Mobility for a Proposed Regional Transportation Emission Cap-and-Invest Program.","source":"pubmed","abstract":"The transportation sector is now the primary contributor to greenhouse gas emissions in the USA. The Transportation Climate Initiative (TCI), a partnership of 12 states and the District of Columbia currently under development, would implement a cap-and-invest program to reduce transportation sector emissions across the Northeast and Mid-Atlantic region, including substantial investment in cycling and pedestrian infrastructure. Using outputs from an investment scenario model and the World Health Organization Health Economic Assessment Tool methodology, we estimate the mortality implications of increased active mobility and their monetized value for three different investment allocation scenarios considered by TCI policymakers. We conduct these analyses for all 378 counties in the TCI region. We find that even for the scenario with the smallest investment in active mobility, when it is fully implemented, TCI would result in hundreds of fewer deaths per year across the region, with monetized benefits in the billions of dollars annually. Under all scenarios considered, the monetized benefits from deaths avoided substantially exceed the direct infrastructure costs of investment. We conclude that investing proceeds in active mobility infrastructure is a cost-effective way of reducing mortality, especially in urban areas, providing a strong motivation for investment in modernization of the transportation system and further evidence of the health co-benefits of climate action.","url":"https://pubmed.ncbi.nlm.nih.gov/33471280/","authors":["Raifman M","Lambert KF","Levy JI","Kinney PL"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2021 Jun","doi":"10.1007/s11524-020-00510-1","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:43.695Z"},{"id":"pmid:33447974","name":"Changes in the concentration of air pollutants before and after the COVID-19 blockade period and their correlation with vegetation coverage.","source":"pubmed","abstract":"In order to control the spread of COVID-19, China had implemented strict lockdown measures. The closure of cities had had a huge impact on human production and consumption activities, which had greatly reduced population mobility. This article used air pollutant data from 341 cities in mainland China and divided these cities into seven major regions based on geographic conditions and climatic environment. The impact of urban blockade on air quality during COVID-19 was studied from the perspectives of time, space, and season. In addition, this article used Normalized Difference Vegetation Index (NDVI) to systematically analyze the characteristics of air pollution in the country and used the Pearson correlation coefficient to explore the relationship between NDVI and the air pollutant concentrations during the COVID-19 period. Then, linear regression was used to find the quantitative relationship between NDVI and AQI, and the fitting effect of the model was found to be significant through t test. Finally, some countermeasures were proposed based on the analysis results, and suggestions were provided for improving air quality. This paper has drawn the following conclusions: (1) the concentration of pollutants varied greatly in different regions, and the causes of their pollution sources were also different. The region with the largest decline in AQI was the Northeast China (60.01%), while the AQI in the southwest China had the smallest change range, and its value had increased by 1.72%. In addition, after the implementation of the city blockade, the concentration of NO 2 in different regions dropped the most, but the increase in O 3 was more obvious. (2) Higher vegetation coverage would have a beneficial impact on the atmospheric environment. Areas with higher NDVI values have relatively low AQI. There is a negative correlation between NDVI and AQI, and an average increase of 0.1 in NDVI will reduce AQI by 3.75 (95% confidence interval). In the case of less human intervention, the higher the vegetation coverage, the lower the local pollutant concentration will be. Therefore, the degree of vegetation coverage would have a direct or indirect impact on air pollution.","url":"https://pubmed.ncbi.nlm.nih.gov/33447974/","authors":["Zhou M","Huang Y","Li G"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2021 May","doi":"10.1007/s11356-020-12164-2","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:43.695Z"},{"id":"pmid:33444611","name":"Antimicrobial resistance genes are enriched in aerosols near impacted urban surface waters in La Paz, Bolivia.","source":"pubmed","abstract":"Antibiotic resistance poses a major global health threat. Understanding emergence and dissemination of antibiotic resistance in environmental media is critical to the design of control strategies. Because antibiotic resistance genes (ARGs) may be aerosolized from contaminated point sources and disseminated more widely in localized environments, we assessed ARGs in aerosols in urban La Paz, Bolivia, where wastewater flows in engineered surface water channels through the densely populated urban core. We quantified key ARGs and a mobile integron (MI) via ddPCR and E. coli spp. as a fecal indicator by culture over two years during both the rainy and dry seasons in sites near wastewater flows. ARG targets represented major antibiotic groups-tetracyclines (tetA), fluoroquinolines (qnrB), and beta-lactams (bla TEM )-and an MI (intI1) represented the potential for mobility of genetic material. Most air samples (82%) had detectable targets above the experimentally determined LOD: most commonly bla TEM and intI1 (68% and 47% respectively) followed by tetA and qnrB (17% and 11% respectively). ARG and MI densities in positive air samples ranged from 1.3&#xa0;&#xd7;&#xa0;10 1 to 6.6&#xa0;&#xd7;&#xa0;10 4 gene copies/m 3 air. Additionally, we detected culturable E. coli in the air (52% of samples &lt;1&#xa0;km from impacted surface waters) with an average density of 11&#xa0;CFU/m 3 in positive samples. We observed decreasing density of bla TEM with increasing distance up to 150&#xa0;m from impacted surface waters. To our knowledge this is the first study conducting absolute quantification and a spatial analysis of ARGs and MIs in ambient urban air of a city with contaminated surface waters. Environments in close proximity to urban wastewater flows in this setting may experience locally elevated concentrations of ARGs, a possible concern for the emergence and dissemination of antimicrobial resistance in cities with poor sanitation.","url":"https://pubmed.ncbi.nlm.nih.gov/33444611/","authors":["Ginn O","Nichols D","Rocha-Melogno L","Bivins A","Berendes D","Soria F","Andrade M","Deshusses MA","Bergin M","Brown J"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2021 Mar","doi":"10.1016/j.envres.2021.110730","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:43.695Z"},{"id":"pmid:33424425","name":"COVID-19: Has social isolation reduced the emission of pollutants in the megacity of São Paulo-Brazil?","source":"pubmed","abstract":"The first case of COVID-19 in Brazil was registered in the city of S&#xe3;o Paulo on February 26, 2020; however, restrictive measures and social distancing were only determined in the city on March 17, 2020. A partial lockdown aimed to mitigate the advance of the virus by raising the social isolation rates, by limiting the operation of several services and the mobility of the population. Thus, this study aims to analyze the relationship between the social isolation index in the city of S&#xe3;o Paulo and the emission levels of the main air pollutants (PM 10 , PM 2.5 , NO x , NO, NO 2 , SO 2 and CO), as well as air temperature. We analyzed the data collected from three urban air quality monitoring stations located in the city center of S&#xe3;o Paulo from March 16, 2020 to July 20, 2020. The data for 2020 were compared with those of the previous period in 2020 and the same period in the previous 5&#xa0;years (2015-2019), and also to the city's official indices of social isolation. The relationships between pollutant concentrations and the social isolation index showed that the decrease in mobility influenced the reduction in air pollution. Pollutants NO 2 , NO x , NO and CO had the strongest negative associations (Pearson's correlation&#x2009;=&#x2009;-&#x2009;0.582; 0.481; -&#x2009;0.433 and -&#x2009;0.367, respectively). Our results showed that the partial lockdown (from March 17, 2020, to July 20, 2020) had a positive impact on air quality, with a reduction in the emission of pollutants NO (31.75%), NO 2 (20.60%), NO x (27.21%) and CO (29.95%). The greatest reductions in the emission of pollutants were observed when the social isolation index reached an average of 52.20%. Small negative fluctuations in the social isolation index broke the most significant reductions observed at the beginning of social isolation.","url":"https://pubmed.ncbi.nlm.nih.gov/33424425/","authors":["Noda L","Nóbrega ABEQ","da Silva Júnior JBM","Schmidlin F","Labaki L"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2021","doi":"10.1007/s10668-020-01166-2","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:43.695Z"},{"id":"pmid:33408877","name":"Determinants of dengue virus dispersal in the Americas.","source":"pubmed","abstract":"Dengue viruses (DENVs) are classified into four serotypes, each of which contains multiple genotypes. DENV genotypes introduced into the Americas over the past five decades have exhibited different rates and patterns of spatial dispersal. In order to understand factors underlying these patterns, we utilized a statistical framework that allows for the integration of ecological, socioeconomic, and air transport mobility data as predictors of viral diffusion while inferring the phylogeographic history. Predictors describing spatial diffusion based on several covariates were compared using a generalized linear model approach, where the support for each scenario and its contribution is estimated simultaneously from the data set. Although different predictors were identified for different serotypes, our analysis suggests that overall diffusion of DENV-1, -2, and -3 in the Americas was associated with airline traffic. The other significant predictors included human population size, the geographical distance between countries and between urban centers and the density of people living in urban environments.","url":"https://pubmed.ncbi.nlm.nih.gov/33408877/","authors":["Allicock OM","Sahadeo N","Lemey P","Auguste AJ","Suchard MA","Rambaut A","Carrington CVF"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2020 Jul","doi":"10.1093/ve/veaa074","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:43.695Z"},{"id":"pmid:33398145","name":"Increased air pollution exposure among the Chinese population during the national quarantine in 2020.","source":"pubmed","abstract":"The COVID-19 quarantine in China is thought to have reduced ambient air pollution. The overall exposure of the population also depends, however, on indoor air quality and human mobility and activities. Here, by integrating real-time mobility data and a questionnaire survey on time-activity patterns during the pandemic, we show that despite a decrease in ambient PM 2.5 during the quarantine, the total population-weighted exposure to PM 2.5 considering both indoor and outdoor environments increased by 5.7&#x2009;&#x3bc;g&#x2009;m -3 (95% confidence interval, 1.2-11.0&#x2009;&#x3bc;g&#x2009;m -3 ). The increase in population-weighted exposure was mainly driven by a nationwide urban-to-rural population migration before the Spring Festival coupled with the freezing of the migration backward due to the quarantine, which increased household energy consumption and the fraction of people exposed to rural household air pollution indoors. Our analysis reveals an increased inequality of air pollution exposure during the quarantine and highlights the importance of household air pollution for population health in China.","url":"https://pubmed.ncbi.nlm.nih.gov/33398145/","authors":["Shen H","Shen G","Chen Y","Russell AG","Hu Y","Duan X","Meng W","Xu Y","Yun X","Lyu B","Zhao S","Hakami A","Guo J","Tao S","Smith KR"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2021 Feb","doi":"10.1038/s41562-020-01018-z","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:43.695Z"},{"id":"pmid:33307082","name":"A call for urgent action to safeguard our planet and our health in line with the helsinki declaration.","source":"pubmed","abstract":"In 2015, the Rockefeller Foundation-Lancet Commission launched a report introducing a novel approach called Planetary Health and proposed a concept, a strategy and a course of action. To discuss the concept of Planetary Health in the context of Europe, a conference entitled: \"Europe That Protects: Safeguarding Our Planet, Safeguarding Our Health\" was held in Helsinki in December 2019. The conference participants concluded with a need for action to support Planetary Health during the 2020s. The Helsinki Declaration emphasizes the urgency to act as scientific evidence shows that human activities are causing climate change, biodiversity loss, land degradation, overuse of natural resources and pollution. They threaten the health and safety of human kind. Global, regional, national, local and individual initiatives are called for and multidisciplinary and multisectorial actions and measures are needed. A framework for an action plan is suggested that can be modified for local needs. Accordingly, a shift from fragmented approaches to policy and practice towards systematic actions will promote human health and health of the planet. Systems thinking will feed into conserving nature and biodiversity, and into halting climate change. The Planetary Health paradigm &#x2012; the health of human civilization and the state of natural systems on which it depends &#x2012; must become the driver for all policies.","url":"https://pubmed.ncbi.nlm.nih.gov/33307082/","authors":["Halonen JI","Erhola M","Furman E","Haahtela T","Jousilahti P","Barouki R","Bergman Å","Billo NE","Fuller R","Haines A","Kogevinas M","Kolossa-Gehring M","Krauze K","Lanki T","Vicente JL","Messerli P","Nieuwenhuijsen M","Paloniemi R","Peters A","Posch KH","Timonen P","Vermeulen R","Virtanen SM","Bousquet J","Antó JM"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2021 Feb","doi":"10.1016/j.envres.2020.110600","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:43.695Z"},{"id":"pmid:33305048","name":"Recommendations for emerging air taxi network operations based on online review analysis of helicopter services.","source":"pubmed","abstract":"The effects of traffic congestion are adverse, primarily including air pollution, commuter stress, an increase in vehicle operating costs, and accidents on road. In efforts to alleviate these problems in metropolitan cities, logistics companies plan to introduce a new Urban Air Mobility (UAM) service called air taxis. These are electric-powered vehicles that would be tested and operated in the forthcoming years by international transportation companies like Airbus, Uber, and Kitty Hawk. Since these flying taxis are an emerging mode of transportation, it is necessary to provide recommendations for initial design, implementation, and operation. This study proposes managerial insights for these upcoming UAM services by analyzing online customer reviews and conducting an internal assessment of helicopter operations. Helicopters are similar to air taxis in regards to their vertical takeoff and landing (VTOL) operations, and therefore, customer reviews pertaining to the former can enable us to obtain insights into the strengths and weaknesses of the short-distance aviation service, in general. A four-stage sequential approach is used in this research, wherein online reviews are mined in Stage 1 , analyzed using bigram and trigram models in Stage 2 , 7S internal assessment is conducted for helicopter services in Stage 3 , and managerial recommendations for air taxis are proposed in Stage 4 . The insights obtained in this paper could assist any air taxi company in providing better customer service when they venture into the market.","url":"https://pubmed.ncbi.nlm.nih.gov/33305048/","authors":["Rajendran S","Pagel E"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2020 Dec","doi":"10.1016/j.heliyon.2020.e05581","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:43.695Z"},{"id":"pmid:33291673","name":"Association between the New COVID-19 Cases and Air Pollution with Meteorological Elements in Nine Counties of New York State.","source":"pubmed","abstract":"The principal objective of this article is to assess the possible association between the number of COVID-19 infected cases and the concentrations of fine particulate matter (PM 2.5 ) and ozone (O 3 ), atmospheric pollutants related to people's mobility in urban areas, taking also into account the effect of meteorological conditions. We fit a generalized linear mixed model which includes spatial and temporal terms in order to detect the effect of the meteorological elements and COVID-19 infected cases on the pollutant concentrations. We consider nine counties of the state of New York which registered the highest number of COVID-19 infected cases. We implemented a Bayesian method using integrated nested Laplace approximation (INLA) with a stochastic partial differential equation (SPDE). The results emphasize that all the components used in designing the model contribute to improving the predicted values and can be included in designing similar real-world data (RWD) models. We found only a weak association between PM 2.5 and ozone concentrations with COVID-19 infected cases. Records of COVID-19 infected cases and other covariates data from March to May 2020 were collected from electronic health records (EHRs) and standard RWD sources.","url":"https://pubmed.ncbi.nlm.nih.gov/33291673/","authors":["Díaz-Avalos C","Juan P","Chaudhuri S","Sáez M","Serra L"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2020 Dec 4","doi":"10.3390/ijerph17239055","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:43.695Z"},{"id":"pmid:33283557","name":"Ultrafine urban particle measurements in Budapest and their airway deposition distribution calculation.","source":"pubmed","abstract":"The aim of this study was to provide particle number and mass deposition rates of submicron particles in the human airways as inputs for toxicology and other areas of aerosol science.","url":"https://pubmed.ncbi.nlm.nih.gov/33283557/","authors":["Füri P","Groma V","Török S","Farkas Á","Dian C"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2020 Nov-Dec","doi":"10.1080/08958378.2020.1850937","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:43.695Z"},{"id":"pmid:33254939","name":"Distribution characteristics of methylsiloxanes in atmospheric environment of Saitama, Japan: Diurnal and seasonal variations and emission source apportionment.","source":"pubmed","abstract":"The large production volume of methylsiloxanes (MSs), combined with their high mobility/volatility and persistence, is a matter of concern from the atmospheric pollution perspective. Therefore, we evaluated of the concentrations and emission sources of MSs, including 7 cyclic methylsiloxanes (D3-D9; CMSs, the number refers to the number of Si-O bonds) and 13 linear methylsiloxanes (L3-L15; LMSs) in ambient air collected from Saitama, Japan. This is a first study regarding the evaluation of 20 methylsiloxanes in the Japanese atmosphere. We improved the air sampling methodology by determination the stability of D5 during a 7-d air sampling and arbitrary sample storage period using polystyrene-divinyl benzene copolymer sorbent (Sep-Pak plus PS-2). We analyzed air samples for MSs seasonally collected from nine locations in Saitama, including urban, suburban, rural, and mountainous areas. The mean CMS and LMS concentrations were 358&#xa0;ng&#xa0;m -3 and 13.4&#xa0;ng&#xa0;m -3 , respectively. The D5 concentrations were distributed widely, with high concentrations in urban/suburban populous areas and dispersed at low concentrations in surrounding areas (north and mountainous areas). We analyzed 7-d air samples collected every week over a year and found apparent seasonal and periodic trends in the CMS concentrations. In the diurnal sampling campaign, we observed periodic fluctuations in ambient CMSs, with an inverse relationship with the atmospheric boundary layer development during the day. Backward trajectories and the prevailing wind direction during the sampling period indicated that the specific profiles of D4 observed in fall/winter weeks and north of Saitama could be ascribed to northwestward air-mass advection. We employed a novel approach in estimating CMSs emission sources and source apportionment by using non-negative matrix factorization (NMF). The concentration matrix was divided successfully into two factors (emission sources) namely, personal care and household products and industrial activities.","url":"https://pubmed.ncbi.nlm.nih.gov/33254939/","authors":["Horii Y","Ohtsuka N","Minomo K","Takemine S","Motegi M","Hara M"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2021 Feb 1","doi":"10.1016/j.scitotenv.2020.142399","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:43.695Z"},{"id":"pmid:33254916","name":"Early observations on the impact of the COVID-19 lockdown on air quality trends across the UK.","source":"pubmed","abstract":"UK government implemented national lockdown in response to COVID-19 on the 23-26 March 2020. As elsewhere in Europe and Internationally, associated restrictions initially limited individual mobility and workplace activity to essential services and travel, and significant air quality benefits were widely anticipated. Here, break-point/segment methods are applied to air pollutant time-series from the first half of 2020 to provide an independent estimate of the timings of discrete changes in NO, NO 2 , NO x , O 3 , PM 10 and PM 2.5 time-series from Automatic Urban Rural Network (AURN) monitoring stations across the UK. NO, NO 2 and NO x all exhibit abrupt decreases at the time the UK locked down of (on average) 7.6 to 17&#xa0;&#x3bc;g&#xb7;m -3 (or 32 to 50%) at Urban Traffic stations and 4 to 5.7&#xa0;&#x3bc;g&#xb7;m -3 (or 26 to 46%) at Urban Background stations. However, after the initial abrupt reduction, gradual increases were then observed through lockdown. This suggests that the return of vehicles to the road during early lockdown has already offset much of the air quality improvement seen when locking down (provisional estimate 50 to 70% by 01 July). While locking down O 3 increased (7 to 7.4&#xa0;&#x3bc;g&#xb7;m -3 or 14 to 17% at Urban stations) broadly in line with NO 2 reductions, but later changes suggest significant non-lockdown contributions to O 3 during the months that followed. Increases of similar magnitudes were observed for both PM 10 (5.9 to 6.3&#xa0;&#x3bc;g&#xb7;m -3 ) and PM 2.5 (3.9 to 5.0&#xa0;&#x3bc;g&#xb7;m -3 ) at both Rural and Urban stations alike, but the distribution of changes suggests the lockdown was not an obvious direct source of changes in levels of either of these species during this period, and that more complex contributions, e.g. from resuspension and secondary aerosol, may be more likely major drivers for these changes.","url":"https://pubmed.ncbi.nlm.nih.gov/33254916/","authors":["Ropkins K","Tate JE"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2021 Feb 1","doi":"10.1016/j.scitotenv.2020.142374","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:43.695Z"},{"id":"pmid:33254679","name":"Quantifying road traffic impact on air quality in urban areas: A Covid19-induced lockdown analysis in Italy.","source":"pubmed","abstract":"Covid19-induced lockdown measures caused modifications in atmospheric pollutant and greenhouse gas emissions. Urban road traffic was the most impacted, with 48-60% average reduction in Italy. This offered an unprecedented opportunity to assess how a prolonged (&#x223c;2 months) and remarkable abatement of traffic emissions impacted on urban air quality. Six out of the eight most populated cities in Italy with different climatic conditions were analysed: Milan, Bologna, Florence, Rome, Naples, and Palermo. The selected scenario (24/02/2020-30/04/2020) was compared to a meteorologically comparable scenario in 2019 (25/02/2019-02/05/2019). NO 2 , O 3 , PM 2.5 and PM 10 observations from 58 air quality and meteorological stations were used, while traffic mobility was derived from municipality-scale big data. NO 2 levels remarkably dropped over all urban areas (from&#xa0;-24.9% in Milan to&#xa0;-59.1% in Naples), to an extent roughly proportional but lower than traffic reduction. Conversely, O 3 concentrations remained unchanged or even increased (up to 13.7% in Palermo and 14.7% in Rome), likely because of the reduced O 3 titration triggered by lower NO emissions from vehicles, and lower NO x emissions over typical VOCs-limited environments such as urban areas, not compensated by comparable VOCs emissions reductions. PM 10 exhibited reductions up to 31.5% (Palermo) and increases up to 7.3% (Naples), while PM 2.5 showed reductions of &#x223c;13-17% counterbalanced by increases up to &#x223c;9%. Higher household heating usage (+16-19% in March), also driven by colder weather conditions than 2019 (-0.2 to&#xa0;-0.8&#xa0;&#xb0;C) may partly explain primary PM emissions increase, while an increase in agriculture activities may account for the NH 3 emissions increase leading to secondary aerosol formation. This study confirmed the complex nature of atmospheric pollution even when a major emission source is clearly isolated and controlled, and the need for consistent decarbonisation efforts across all emission sectors to really improve air quality and public health.","url":"https://pubmed.ncbi.nlm.nih.gov/33254679/","authors":["Gualtieri G","Brilli L","Carotenuto F","Vagnoli C","Zaldei A","Gioli B"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2020 Dec","doi":"10.1016/j.envpol.2020.115682","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:43.695Z"},{"id":"pmid:33221009","name":"Coupled models using radar network database to assess vehicular emissions in current and future scenarios.","source":"pubmed","abstract":"Vehicles are one of the most significant sources of air pollutant emissions in urban areas, and their real contribution always needs to be updated to predict impacts on air quality. Radar databases and traffic counts using statistical modeling is an alternative and low-cost approach to produce traffic activities data in each urban street to be used as input to predict vehicular emissions. In this work, we carried out a spatial statistical analysis of local radar data and calculated traffic flow using local radar data combined with different statistical models. Future scenarios about vehicle emission inventory to define public policies were also proposed and analyzed for Belo Horizonte (BH), a Brazilian State capital, with the third-largest metropolitan region in the country. The Normal-Neighborhood Model (i.e., the mixed effect model with random effect in the neighborhood, radar type, and in the regional area) was used to calculate traffic flow in each urban street. Results showed average reductions in CO (4.5%), NMHC (3.0%), NOx (3.0%) and PM 2.5 (6.2%) emissions even with an increase in fleet composition (25% in average). The decrease is a result of the implementation of emission control programs by the government, improvements vehicles technologies, and the quality of fuels. Prediction of traffic data from radar databases has proven to be useful for avoiding the high costs of performing origin-destination surveys and traffic modeling using commercial software. Radar databases can provide many potential benefits for research and analysis in environmental and transportation planning. These findings can be incorporated in future investigations to implement public policies on vehicular emission reduction in urban areas and to advance environmental health effects research and human health risk assessment.","url":"https://pubmed.ncbi.nlm.nih.gov/33221009/","authors":["Pinto JA","Kumar P","Alonso MF","Andreão WL","Pedruzzi R","Ibarra-Espinosa S","Maciel FM","de Almeida Albuquerque TT"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2021 Mar 20","doi":"10.1016/j.scitotenv.2020.143207","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:43.695Z"},{"id":"pmid:33216706","name":"Evaluation of OSPM against air quality measurements in Brazil - the case study of Fortaleza, Ceará.","source":"pubmed","abstract":"The contribution of vehicle emissions to air pollution is considered a large environmental and health problem in big Brazilian cities caused, among other factors, by slow renewal of the old vehicle fleet. Brazilian studies usually only consider traffic-related issues in transportation analysis, with minor assessments of emissions and close to non-existent assessment of air quality. On this background, this research aimed to calibrate and evaluate the Operational Street Pollution Model (OSPM&#xae;) to Brazilian conditions by implementing Brazilian emission factors. The urban background concentrations were modeled with the Urban Background Model (UBM) as part of the air quality system (THOR-AirPAS). In this case, we used meteorological data from a ground meteorological station outside Fortaleza processed by meteorological pre-processor and regional background concentrations from the Integrated Forecast System (IFS) as input to UBM. New air quality measurements were collected in busy streets of the city of Fortaleza during the year of 2017. The study collected samples of daily NO 2 and PM 10 concentrations to evaluate OSPM daily estimations. In addition, a transportation travel demand model (TRANUS) has been calibrated to the case study area with observed traffic data collected, in order to provide Annual Average Daily Traffic (AADT) as inputs to OSPM&#xae;. Two sets of emission factors were evaluated. Official Brazilian emission factors were applied to OSPM&#xae;, as well as adjusted emission factors derived in the project based on calibration that were higher than the official emission factors. Data showed that concentrations are significantly influenced by meteorological factors (such as temperature, wind speeds, wind directions), and especially precipitation for PM 10 concentrations. OSPM&#xae; simulated results showed concentration levels and patterns close to air quality measurements with default emission factors and calibrated emission for UBM but large underestimations if official emissions were used for both UBM and OSPM. Implications : Busy urban streets in Brazilian cities with intense flow of diesel vehicles (such as buses and trucks) can significantly increase air pollution, especially for NO 2 and PM 10 . With OSPM calibrated and evaluated to Brazilian conditions, the model system can be used by authorities to assess the impact of policy measures, such as vehicle access restrictions in Low Emission Zones, in order to consider not only traffic related issues, but also air pollution due to mobile sources with outdated emission technologies.","url":"https://pubmed.ncbi.nlm.nih.gov/33216706/","authors":["L F Dias H","Bertoncini BV","Cavalcante RM","Jensen SS","Hansen KM","Ketzel M"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2021 Feb","doi":"10.1080/10962247.2020.1853629","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:43.695Z"},{"id":"pmid:33211797","name":"County-level Predictors of Coronavirus Disease 2019 (COVID-19) Cases and Deaths in the United States: What Happened, and Where Do We Go from Here?","source":"pubmed","abstract":"The United States has been heavily impacted by the coronavirus disease 2019 (COVID-19) pandemic. Understanding microlevel patterns in US rates of COVID-19 can inform specific prevention strategies.","url":"https://pubmed.ncbi.nlm.nih.gov/33211797/","authors":["McLaughlin JM","Khan F","Pugh S","Angulo FJ","Schmitt HJ","Isturiz RE","Jodar L","Swerdlow DL"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2021 Oct 5","doi":"10.1093/cid/ciaa1729","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:43.695Z"},{"id":"pmid:33193909","name":"Air quality improvement from COVID-19 lockdown: evidence from China.","source":"pubmed","abstract":"As we move through 2020, our world has been transformed by the spread of COVID-19 in many aspects. A large number of cities across the world entered \"sleep mode\" sequentially due to the stay-at-home or lockdown policies. This study exploits the impact of pandemic-induced human mobility restrictions, as the response to COVID-19 pandemic, on the urban air quality across China. Different from the \"traditional\" difference-in-differences analysis, a human mobility-based difference-in-differences method is used to quantify the effect of intracity mobility reductions on air quality across 325 cities in China. The model shows that the air quality index (AQI) experiences a 12.2% larger reduction in the cities with lockdown. Moreover, this reduction effect varies with different types of air pollutants (PM 2.5 , PM 10 , SO 2 , NO 2 , and CO decreased by 13.1%, 15.3%, 4%, 3.3%, and 3.3%, respectively). The heterogeneity analysis in terms of different types of cities shows that the effect is greater in northern, higher income, more industrialized cities, and more economically active cities. We also estimate the subsequent health benefits following such improvement, and the expected averted premature deaths due to air pollution declines are around 26,385 to 38,977 during the sample period. These findings illuminate a new light on the role of a policy intervention in the pollution emission, while also providing a roadmap for future research on the pollution effect of COVID-19 pandemic.","url":"https://pubmed.ncbi.nlm.nih.gov/33193909/","authors":["Wang M","Liu F","Zheng M"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2021","doi":"10.1007/s11869-020-00963-y","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:43.695Z"},{"id":"pmid:33182238","name":"Temporal Changes in Air Quality According to Land-Use Using Real Time Big Data from Smart Sensors in Korea.","source":"pubmed","abstract":"This study analyzed the changes in particulate matter concentrations according to land-use over time and the spatial characteristics of the distribution of particulate matter concentrations using big data of particulate matter in Daejeon, Korea, measured by Private Air Quality Monitoring Smart Sensors (PAQMSSs). Land-uses were classified into residential, commercial, industrial, and green groups according to the primary land-use around the 650-m sensor radius. Data on particulate matter with an aerodynamic diameter &lt;10 &#xb5;m (PM10) and &lt;2.5 &#xb5;m (PM2.5) were captured by PAQMSSs from September&#x2012;October (i.e., fall) in 2019. Differences and variation characteristics of particulate matter concentrations between time periods and land-uses were analyzed and spatial mobility characteristics of the particulate matter concentrations over time were analyzed. The results indicate that the particulate matter concentrations in Daejeon decreased in the order of industrial, housing, commercial and green groups overall; however, the concentrations of the commercial group were higher than those of the residential group during 21:00-23:00, which reflected the vital nighttime lifestyle in the commercial group in Korea. Second, the green group showed the lowest particulate matter concentration and the industrial group showed the highest concentration. Third, the highest particulate matter concentrations were in urban areas where commercial and business functions were centered and in the vicinity of industrial complexes. Finally, over time, the PM10 concentrations were clearly high at noon and low at night, whereas the PM2.5 concentrations were similar at certain areas.","url":"https://pubmed.ncbi.nlm.nih.gov/33182238/","authors":["Jo SS","Lee SH","Leem Y"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2020 Nov 9","doi":"10.3390/s20216374","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:43.695Z"},{"id":"pmid:33158525","name":"Decrease of mobility, electricity demand, and NO(2) emissions on COVID-19 times and their feedback on prevention measures.","source":"pubmed","abstract":"The spread of coronavirus disease 2019 (COVID-19) on 2020 has affected human activities in a way never documented in modern history. As a consequence of the prevention measures implemented to contain the virus, cities around the world are experiencing a decrease in urban mobility and electricity demand that have positively affected the air quality. The most extreme cases for cities around the world show a decrease of 90, 40, and 70% in mobility, electricity demand, and NO 2 emissions respectively. At the same time, the inspection of these changes along the evaluation of COVID-19 incidence curves allow to obtain feedback about the timely execution of prevention measures for this and future global events. In this case, we identify and discuss the early effort of Latin-American countries to successfully delay the spread of the virus by implementing prevention measures before the fast growth of COVID-19 cases in comparison to European countries.","url":"https://pubmed.ncbi.nlm.nih.gov/33158525/","authors":["Corpus-Mendoza AN","Ruiz-Segoviano HS","Rodríguez-Contreras SF","Yañez-Dávila D","Hernández-Granados A"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2021 Mar 15","doi":"10.1016/j.scitotenv.2020.143382","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:43.695Z"},{"id":"pmid:33157109","name":"Associations of co-exposures to air pollution and noise with psychological stress in space and time: A case study in Beijing, China.","source":"pubmed","abstract":"Air pollution and noise are both ubiquitous environmental stressors that pose great threats to public health. Emerging evidence has noticed the combined health risks caused by the coexistence of traffic-related air pollutants and noise in the residential context. However, less is known about how mobile individuals are simultaneously exposed to multiple sources of air pollution and noise, and thus respond with more acute psychological responses beyond the residence. This study examines the co-exposures to fine particles (PM 2.5 ) and noise across spatiotemporal contexts where the concurrent exposures are jointly associated with momentary psychological stress. An innovative research protocol, including GPS-equipped activity-travel diaries, air pollutant and noise sensors, and ecological momentary assessment, was adopted to collect real-time data from a sample of residents in Beijing, China. The results showed a minor correlation between PM 2.5 and noise exposures after accounting for individual mobility and the spatiotemporal dynamics of these two environmental pollutants. Further, exposure to PM 2.5 was more associated with momentary psychological stress given the insignificant independent effect and the weak moderating effect of noise exposure. Three specific spatiotemporal contexts involving the health risks of co-exposures were delineated, including morning rush hours and traveling by public transits with intensified stress risks caused by combined exposures to air pollution and noise, workplaces with counteracting stress effect of both exposures, and evening time at home with stress-induced air pollution and stress-relieving social noise. In conclusion, the mobility-based and context-aware analysis provides a more nuanced understanding of the associations of co-exposures to environmental pollution and synchronous psychological stress in space and time.","url":"https://pubmed.ncbi.nlm.nih.gov/33157109/","authors":["Tao Y","Kou L","Chai Y","Kwan MP"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2021 May","doi":"10.1016/j.envres.2020.110399","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:43.695Z"},{"id":"pmid:33157105","name":"Predicting intraurban PM(2.5) concentrations using enhanced machine learning approaches and incorporating human activity patterns.","source":"pubmed","abstract":"Urban areas contribute substantially to human exposure to ambient air pollution. Numerous statistical prediction models have been used to estimate ambient concentrations of fine particulate matter (PM 2.5 ) and other pollutants in urban environments, with some incorporating machine learning (ML) algorithms to improve predictive power. However, many ML approaches for predicting ambient pollutant concentrations to date have used principal component analysis (PCA) with traditional regression algorithms to explore linear correlations between variables and to reduce the dimensionality of the data. Moreover, while most urban air quality prediction models have traditionally incorporated explanatory variables such as meteorological, land use, transportation/mobility, and/or co-pollutant factors, recent research has shown that local emissions from building infrastructure may also be useful factors to consider in estimating urban pollutant concentrations. Here we propose an enhanced ML approach for predicting urban ambient PM 2.5 concentrations that hybridizes cascade and PCA methods to reduce the dimensionality of the data-space and explore nonlinear effects between variables. We test the approach using different durations of time series air quality datasets of hourly PM 2.5 concentrations from three air quality monitoring sites in different urban neighborhoods in Chicago, IL to explore the influence of dynamic human-related factors, including mobility (i.e., traffic) and building occupancy patterns, on model performance. We test 9 state-of-the-art ML algorithms to find the most effective algorithm for modeling intraurban PM 2.5 variations and we explore the relative importance of all sets of factors on intraurban air quality model performance. Results demonstrate that Gaussian-kernel support vector regression (SVR) was the most effective ML algorithm tested, improving accuracy by 118% compared to a traditional multiple linear regression (MLR) approach. Incorporating the enhanced approach with SVR algorithm increased model performance up to 18.4% for yearlong and 98.7% for month-long hourly datasets, respectively. Incorporating assumptions for human occupancy patterns in dominant building typologies resulted in improvements in model performance by between 4% and 37%. Combined, these innovations can be used to improve the performance and accuracy of urban air quality prediction models compared to conventional approaches.","url":"https://pubmed.ncbi.nlm.nih.gov/33157105/","authors":["Ashayeri M","Abbasabadi N","Heidarinejad M","Stephens B"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2021 May","doi":"10.1016/j.envres.2020.110423","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:43.695Z"},{"id":"pmid:33124272","name":"[Observation of Aerosol Optical Properties and New Particle Formation in the Yangtze River Delta].","source":"pubmed","abstract":"In a recent field campaign focused on air quality study, aerosol optical properties, particle number concentration, and PM 2.5 components were monitored in Changzhou, Jiangsu Province, from May 27 to June 27, 2019. An array of instruments were deployed that included scanning mobility particle size spectrometer (SMPS), aethalometer (AE33), cavity attenuation phase shift single albedo monitor (CAPS-ALB), monitor for aerosols and gases in ambient air (MARGA) and RT-4 organic carbon/elemental carbon (OC/EC) carbon analyzer to study the &#x2460; changes in chemical composition and optical parameters of the new particles generated during the campaign period. &#x2461; comparison of the aerosol extinction coefficient recorded by these instruments and measured value in the reconstruction of IMPROVE (interagency monitoring of protected visual environment) and the calculated coefficient using MIE theory model were carried out. During the entire campaign, two new particle generation events were observed and also found that the particle size continued to increase from 4 nm to 64 nm. It was monitored that in the initial stage of new particle generation, sulfate contributed greatly. The measured average aerosol extinction coefficient during the period of particle generation, using these instruments was 95.40 Mm -1 , while the average aerosol extinction reconstruction using the IMPROVE model was observed to be 140.20 Mm -1 . The theoretical calculations based on Mie theory model yielded an average extinction coefficient of 93.54 Mm -1 . It was found that the average aerosol extinction in Changzhou is lower than the average value of the urban aerosol extinction coefficient, which is measured to be 300 Mm -1 in China, during this period. The deployment of multiple instruments in a single campaign is more desirable because the combination of all observations helped in better characterization of the physicochemical properties of ambient aerosols from various aspects, including particle size spectrum and chemical composition.","url":"https://pubmed.ncbi.nlm.nih.gov/33124272/","authors":["Du YY","Chen J","Zhang JL","Gan GC","Liu YC","Su MX","Lou SR","Zhou M","Tao SK","Qiao LP"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2020 Sep 8","doi":"10.13227/j.hjkx.201911271","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:43.695Z"},{"id":"pmid:33123408","name":"Near-Optimal Reactive Synthesis Incorporating Runtime Information.","source":"pubmed","abstract":"We consider the problem of optimal reactive synthesis - compute a strategy that satisfies a mission specification in a dynamic environment, and optimizes a performance metric. We incorporate task-critical information, that is only available at runtime, into the strategy synthesis in order to improve performance. Existing approaches to utilising such time-varying information require online re-synthesis, which is not computationally feasible in real-time applications. In this paper, we pre-synthesize a set of strategies corresponding to candidate instantiations (pre-specified representative information scenarios). We then propose a novel switching mechanism to dynamically switch between the strategies at runtime while guaranteeing all safety and liveness goals are met. We also characterize bounds on the performance suboptimality. We demonstrate our approach on two examples - robotic motion planning where the likelihood of the position of the robot's goal is updated in real-time, and an air traffic management problem for urban air mobility.","url":"https://pubmed.ncbi.nlm.nih.gov/33123408/","authors":["Bharadwaj S","Vinod AP","Dimitrova R","Topcu U"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2020","doi":"10.1109/icra40945.2020.9196581","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:43.695Z"},{"id":"pmid:33114771","name":"Global to USA County Scale Analysis of Weather, Urban Density, Mobility, Homestay, and Mask Use on COVID-19.","source":"pubmed","abstract":"Prior evaluations of the relationship between COVID-19 and weather indicate an inconsistent role of meteorology (weather) in the transmission rate. While some effects due to weather may exist, we found possible misconceptions and biases in the analysis that only consider the impact of meteorological variables alone without considering the urban metabolism and environment. This study highlights that COVID-19 assessments can notably benefit by incorporating factors that account for urban dynamics and environmental exposure. We evaluated the role of weather (considering equivalent temperature that combines the effect of humidity and air temperature) with particular consideration of urban density, mobility, homestay, demographic information, and mask use within communities. Our findings highlighted the importance of considering spatial and temporal scales for interpreting the weather/climate impact on the COVID-19 spread and spatiotemporal lags between the causal processes and effects. On global to regional scales, we found contradictory relationships between weather and the transmission rate, confounded by decentralized policies, weather variability, and the onset of screening for COVID-19, highlighting an unlikely impact of weather alone. At a finer spatial scale, the mobility index (with the relative importance of 34.32%) was found to be the highest contributing factor to the COVID-19 pandemic growth, followed by homestay (26.14%), population (23.86%), and urban density (13.03%). The weather by itself was identified as a noninfluential factor (relative importance &lt; 3%). The findings highlight that the relation between COVID-19 and meteorology needs to consider scale, urban density and mobility areas to improve predictions.","url":"https://pubmed.ncbi.nlm.nih.gov/33114771/","authors":["Jamshidi S","Baniasad M","Niyogi D"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2020 Oct 26","doi":"10.3390/ijerph17217847","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:43.695Z"},{"id":"pmid:33050278","name":"Impact on Air Quality of the COVID-19 Lockdown in the Urban Area of Palermo (Italy).","source":"pubmed","abstract":"At the end of 2019, the first cases of coronavirus disease (COVID-19) were reported in Wuhan, China. Thereafter, the number of infected people increased rapidly, and the outbreak turned into a national crisis, with infected individuals all over the country. The COVID-19 global pandemic produced extreme changes in human behavior that affected air quality. Human mobility and production activities decreased significantly, and many regions recorded significant reductions in air pollution. The goal of our investigation was to evaluate the impact of the COVID-19 lockdown on the concentrations of the main air pollutants in the urban area of Palermo (Italy). In this study, the trends in the average concentrations of CO, NO 2 , O 3 , and PM 10 in the air from 1 January 2020 to 31 July 2020 were compared with the corresponding average values detected at the same monitoring stations in Palermo during the previous five years (2015-2019). During the lockdown period (10 March-30 April), we observed a decrease in the concentrations of CO, NO 2 , and particulate matter (PM) 10 , calculated to be about 51%, 50%, and 45%, respectively. This confirms that air pollution in an urban area is predominantly linked to vehicular traffic.","url":"https://pubmed.ncbi.nlm.nih.gov/33050278/","authors":["Vultaggio M","Varrica D","Alaimo MG"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2020 Oct 9","doi":"10.3390/ijerph17207375","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:43.695Z"},{"id":"pmid:33039894","name":"Estimates of pedestrian exposure to atmospheric pollution using high-resolution modelling in a real traffic hot-spot.","source":"pubmed","abstract":"Atmospheric pollution is a very relevant risk for the human health, in particular in urban environments, where most people lives and high levels of pollution are found. Population exposure is traditionally estimated through concentration recorded at air quality monitoring stations (AQMS) or modelled at a spatial resolution of the order of 1&#xa0;km 2 . However, these methodologies have limitations in urban areas where strong gradients of concentration, even in the same street, exist. In addition, the movements of pedestrians make difficult to compute reliable estimates of pollutant concentration to which people are exposed to. In this context, the main objective of this study is to estimate the exposure of pedestrians to ambient nitrogen oxides (NOx) concentrations with high spatial resolution in a real urban traffic hot-spot under different methodologies. To achieve this objective, a novel methodology which combines high-resolution NOx concentrations from computational fluid dynamic (CFD) simulations with the pedestrian flows obtained by pedestrian mobility microsimulations is applied to an urban area of Madrid, Spain. High-resolution maps show pedestrian exposure peaks, at bus stops and crosswalks, that cannot be captured by the simpler methods based on spatial average concentration (SAC) or concentration measured in an AQMS. Total daily exposure obtained is 1.19&#xa0;&#xb7;&#xa0;10 9 person s &#x3bc;g m -3 , while SAC and AQMS concentration methods yielded 9-23% and 30-40% lower values. In conclusion, the proposed methodology allows to determine the areas with higher exposure in order to design local strategies to reduce the impact on human health. In addition, from a more general point of view, the total exposure in the studied area is better estimated by using spatial average concentration than through concentration recorded by AQMS. The assessment of the spatial representative of AQMS becomes necessary to use AQMS concentration to evaluate air quality and population exposure of an urban area.","url":"https://pubmed.ncbi.nlm.nih.gov/33039894/","authors":["Santiago JL","Borge R","Sanchez B","Quaassdorff C","de la Paz D","Martilli A","Rivas E","Martín F"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2021 Feb 10","doi":"10.1016/j.scitotenv.2020.142475","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:43.695Z"},{"id":"pmid:32984861","name":"Urban Air Pollution May Enhance COVID-19 Case-Fatality and Mortality Rates in the United States.","source":"pubmed","abstract":"The novel human coronavirus disease 2019 (COVID-19) pandemic has claimed more than 600,000 lives worldwide, causing tremendous public health, social, and economic damages. Although the risk factors of COVID-19 are still under investigation, environmental factors, such as urban air pollution, may play an important role in increasing population susceptibility to COVID-19 pathogenesis.","url":"https://pubmed.ncbi.nlm.nih.gov/32984861/","authors":["Liang D","Shi L","Zhao J","Liu P","Sarnat JA","Gao S","Schwartz J","Liu Y","Ebelt ST","Scovronick N","Chang HH"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2020 Nov 25","doi":"10.1016/j.xinn.2020.100047","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:43.695Z"},{"id":"pmid:32972469","name":"Association between genetic and socioenvironmental risk for schizophrenia during upbringing in a UK longitudinal cohort.","source":"pubmed","abstract":"Associations of socioenvironmental features like urbanicity and neighborhood deprivation with psychosis are well-established. An enduring question, however, is whether these associations are causal. Genetic confounding could occur due to downward mobility of individuals at high genetic risk for psychiatric problems into disadvantaged environments.","url":"https://pubmed.ncbi.nlm.nih.gov/32972469/","authors":["Newbury JB","Arseneault L","Caspi A","Moffitt TE","Odgers CL","Belsky DW","Sugden K","Williams B","Ambler AP","Matthews T","Fisher HL"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2022 Jun","doi":"10.1017/S0033291720003347","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:43.695Z"},{"id":"pmid:32872261","name":"How Did Distribution Patterns of Particulate Matter Air Pollution (PM(2.5) and PM(10)) Change in China during the COVID-19 Outbreak: A Spatiotemporal Investigation at Chinese City-Level.","source":"pubmed","abstract":"Due to the suspension of traffic mobility and industrial activities during the COVID-19, particulate matter (PM) pollution has decreased in China. However, rarely have research studies discussed the spatiotemporal pattern of this change and related influencing factors at city-scale across the nation. In this research, the clustering patterns of the decline rates of PM 2.5 and PM 10 during the period from 20 January to 8 April in 2020, compared with the same period of 2019, were investigated using spatial autocorrelation analysis. Four meteorological factors and two socioeconomic factors, i.e., the decline of intra-city mobility intensity (dIMI) representing the effect of traffic mobility and the decline rates of the secondary industrial output values (drSIOV), were adopted in the regression analysis. Then, multi-scale geographically weighted regression (MGWR), a model allowing the particular processing scale for each independent variable, was applied for investigating the relationship between PM pollution reductions and influencing factors. For comparison, ordinary least square (OLS) regression and the classic geographically weighted regression (GWR) were also performed. The research found that there were 16% and 20% reduction of PM 2.5 and PM 10 concentration across China and significant PM pollution mitigation in central, east, and south regions of China. As for the regression analysis results, MGWR outperformed the other two models, with R 2 of 0.711 and 0.732 for PM 2.5 and PM 10 , respectively. The results of MGWR revealed that the two socioeconomic factors had more significant impacts than meteorological factors. It showed that the reduction of traffic mobility caused more relative declines of PM 2.5 in east China (e.g., cities in Jiangsu), while it caused more relative declines of PM 10 in central China (e.g., cities in Henan). The reduction of industrial operation had a strong relationship with the PM 10 drop in northeast China. The results are crucial for understanding how the decline pattern of PM pollution varied spatially during the COVID-19 outbreak, and it also provides a good reference for air pollution control in the future.","url":"https://pubmed.ncbi.nlm.nih.gov/32872261/","authors":["Fan Z","Zhan Q","Yang C","Liu H","Zhan M"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2020 Aug 28","doi":"10.3390/ijerph17176274","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:43.695Z"},{"id":"pmid:32863711","name":"What the COVID-19 lockdown revealed about photochemistry and ozone production in Quito, Ecuador.","source":"pubmed","abstract":"The COVID-19 lockdown presented a peculiar opportunity to study a shift in the photochemical regime of ozone production in Quito (Ecuador) before and after mobility restrictions. Primary precursors such as NO and CO dropped dramatically as early as 13 March 2020, due to school closures, but ambient ozone did not change. In this work we use a chemical box model in order to estimate regimes of ozone production before and after the lockdown. We constrain the model with observations in Quito (ozone, NO x , CO, and meteorology) and with estimations of traffic-associated VOCs that are tightly linked to CO. To this end, we use the closest observational data of VOC/CO ratios at an urban area that shares with Quito conditions of high altitude and is located in the tropics, namely Mexico City. A shift in the chemical regime after mobility restrictions was evaluated in light of the magnitude of radical losses to nitric acid and to hydrogen peroxide. With reduced NO x in the morning rush hour (lockdown conditions), ozone production rates at 08:30-10:30 increased from 4.2-17 to 9.7-23&#xa0;ppbv&#xa0;h -1 , respectively. To test further the observed shift in chemical regime, ozone production was recalculated with post-lockdown NO x levels, but setting VOCs to pre-lockdown conditions. This change tripled ozone production rates in the mid-morning and stayed higher throughout the day. In light of these findings, practical scenarios that present the potential for ozone accumulation in the ambient air are discussed.","url":"https://pubmed.ncbi.nlm.nih.gov/32863711/","authors":["Cazorla M","Herrera E","Palomeque E","Saud N"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2021 Jan","doi":"10.1016/j.apr.2020.08.028","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:43.695Z"},{"id":"pmid:32836914","name":"Spatial-temporal potential exposure risk analytics and urban sustainability impacts related to COVID-19 mitigation: A perspective from car mobility behaviour.","source":"pubmed","abstract":"Coronavirus disease-2019 (COVID-19) poses a significant threat to the population and urban sustainability worldwide. The surge mitigation is complicated and associates many factors, including the pandemic status, policy, socioeconomics and resident behaviours. Modelling and analytics with spatial-temporal big urban data are required to assist the mitigation of the pandemic. This study proposes a novel perspective to analyse the spatial-temporal potential exposure risk of residents by capturing human behaviours based on spatial-temporal car park availability data. Near real-time data from 1,904 residential car parks in Singapore, a classical megacity, are collected to analyse car mobility and its spatial-temporal heat map. The implementation of the circuit breaker, a COVID-19 measure, in Singapore has reduced the mobility and heat (daily frequency of mobility) significantly at about 30.0%. It contributes to a 44.3%-55.4% reduction in the transportation-related air emissions under two scenarios of travelling distance reductions. Urban sustainability impacts in both environment and economy are discussed. The spatial-temporal potential exposure risk mapping with space-time interactions is further investigated via an extended Bayesian spatial-temporal regression model. The maximal reduction rate of the defined potential exposure risk lowers to 37.6% by comparison with its peak value. The big data analytics of changes in car mobility behaviour and the resultant potential exposure risks can provide insights to assist in (a) designing a flexible circuit breaker exit strategy, (b) precise management via identifying and tracing hotspots on the mobility heat map, and (c) making timely decisions by fitting curves dynamically in different phases of COVID-19 mitigation. The proposed method has the potential to be used by decision-makers worldwide with available data to make flexible regulations and planning.","url":"https://pubmed.ncbi.nlm.nih.gov/32836914/","authors":["Jiang P","Fu X","Fan YV","Klemeš JJ","Chen P","Ma S","Zhang W"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2021 Jan 10","doi":"10.1016/j.jclepro.2020.123673","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:43.695Z"},{"id":"pmid:32834398","name":"Energy and environmental benefits and policy implications for private passenger vehicles in an emerging metropolis of Southeast Asia - A case study of Metro Manila.","source":"pubmed","abstract":"An increase in private vehicle fleet and usage exacerbates the overuse of petroleum products, air quality degradation, and public health risks, among other drawbacks. This study investigated the energy and environmental benefits for private passenger vehicles under various scenarios in Metro Manila, the Philippines. The findings are informative to design policy implications for energy and environmental benefits. The study applied the Gaussian copula-based multinomial logit (MNL)-linear regression to develop the household vehicle ownership and energy consumption model using the disaggregated data of 1,795 households collected in 2017. The simulated vehicle fleet and energy consumption were then adopted to extrapolate energy demand, emissions, and public health risks for a 2010-2050 horizon using the bottom-up approach. Under the baseline scenario, the energy demand and carbon dioxide (CO 2 ) emissions will reach 5.45 million tonnes of oil equivalent (Mtoe) and 16.93 million tonnes (Mt) in 2050, respectively. The amounts of hydrocarbon (HC), carbon monoxide (CO), sulfur dioxide (SO 2 ), nitrogen oxides (NO X ), particulate matter 10 (PM 10 ) and particulate matter 2.5 (PM 2.5 ) emissions, and economic loss of health risks will be 6,214 tonnes (t), 62,136&#xa0;t, 536&#xa0;t, 10,550&#xa0;t, 1,348&#xa0;t, 996&#xa0;t, and 237 Million USD, respectively, under the baseline scenario in 2050. Improvement of accessibility significantly reduces energy demand and CO 2 emissions. Introduction of Euro 6 cars and Euro 4 buses and Public Utility Jeepneys noticeably improves public health. The new tax schedules on gas and vehicle maximize the tax revenue. The integration of all the mentioned alternatives can achieve sustainable mobility and urbanization.","url":"https://pubmed.ncbi.nlm.nih.gov/32834398/","authors":["Rith M","Fillone AM","Biona JBMM"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2020 Oct 1","doi":"10.1016/j.apenergy.2020.115240","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:43.695Z"},{"id":"pmid:32827521","name":"Using miniaturised scanning mobility particle sizers to observe size distribution patterns of quasi-ultrafine aerosols inhaled during city commuting.","source":"pubmed","abstract":"Portable miniaturised scanning mobility particle sizer (SMPS) instruments measuring atmospheric particles within the 10-241&#xa0;nm size range were used to track particle number size distributions and concentrations during near-simultaneous pedestrian, bicycle, bus, car, tram and subway commuting journeys in Barcelona, Spain on 4th-6th July 2018. The majority of particles in this size range were &lt;100&#xa0;nm, with k-means cluster analysis identifying peaks at 15-22&#xa0;nm, 30-40&#xa0;nm, and 45-75&#xa0;nm. Around 10-25% of the particles measured however were &gt;100&#xa0;nm (especially in the subway environment) and so lie outside the commonly defined range of \"ultrafine\" particles (UFP, or &lt;100&#xa0;nm particles). The study demonstrated in detail how personal exposure to quasi-UFP (QUFP, &lt;241&#xa0;nm), most of which present in the city streets are produced by road traffic, varies greatly depending on the transport mode and route chosen. Proximity to fresh traffic exhaust sources, such as in a car with open windows, on-road cycling, walking downwind of busy roads, or in a subway station contaminated by roadside air, enhances commuter exposure to particles &lt;30&#xa0;nm in size. In contrast, travelling inside air-conditioned bus or tram offers greater protection to the commuter from high concentrations of fresh exhaust. Ultrafine number size distributions in traffic-contaminated city air typically peak in the size range 30-70&#xa0;nm, but they can be shifted to finer sizes not only by increased content of fresh proximal exhaust emissions but also by bursts of new particle formation (NPF) events in the city. One such afternoon photochemical nucleation NPF event was identified during our Barcelona study and recognised in different transport modes, including underground in the subway system. The integration of static urban background air monitoring station information with particle number concentration and size distribution data obtained from portable miniaturised SMPS instruments during commuting journeys opens new approaches to investigating city air quality by offering a level of detail not previously available.","url":"https://pubmed.ncbi.nlm.nih.gov/32827521/","authors":["Moreno T","Reche C","Ahn KH","Eun HR","Kim WY","Kim HS","Fernández-Iriarte A","Amato F","Querol X"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2020 Dec","doi":"10.1016/j.envres.2020.109978","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:43.695Z"},{"id":"pmid:32758750","name":"Coupling mobile phone data with machine learning: How misclassification errors in ambient PM2.5 exposure estimates are produced?","source":"pubmed","abstract":"Most studies relying on time-activity diary or traditional air pollution modelling approach are insufficient to suggest the impacts of ignoring individual mobility and air pollution variations on misclassification errors in exposure estimates. Moreover, very few studies have examined whether such impacts differ across socioeconomic groups.","url":"https://pubmed.ncbi.nlm.nih.gov/32758750/","authors":["Guo H","Zhan Q","Ho HC","Yao F","Zhou X","Wu J","Li W"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2020 Nov 25","doi":"10.1016/j.scitotenv.2020.141034","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:43.695Z"},{"id":"doi:10.34657/39833","name":"AMI-HORATIO - Air Mobility Initiative: Hochperformante Rechnerplattform für das Flugregelungs- und Flugsteuerungssystem für Urban Air Mobility Anwendungen","source":"datacite","abstract":"[no abstract available]","url":"https://doi.org/10.34657/39833","authors":["Burkhardt, Tim"],"tags":["600 | Technik","UAM","Flugregelung","Flugkomfort","Simulation"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.34657/39833","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:43.695Z"},{"id":"doi:10.5281/zenodo.21535725","name":"SkyNetUAM-RWA: Tokenizing Low-Altitude Urban Air Mobility Operations","source":"datacite","abstract":"Exact artifact version evaluated in the Journal of Web Semantics submission: ontology 1.0.0, 12 competency questions, dual-engine SHACL validation, and the 105-flight benchmark (seed 42). Reproduction instructions and the paper-to-code mapping are in: modules/SkyRwa/README.md","url":"https://doi.org/10.5281/zenodo.21535725","authors":["Liu, Yushu","Wang, Longbiao","Du, Chenglin","Zhai, Haixiao"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.21535725","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:43.695Z"},{"id":"doi:10.5281/zenodo.21914618","name":"Transport Systems in Travel and Tourism: Principles, Practices and Emerging Trends","source":"datacite","abstract":"Transport Systems in Travel and Tourism: Principles, Practices and Emerging Trends offers a structured guide to the systems that make modern travel and tourism possible. Designed for tourism, travel management, hospitality, business, geography and related learners, the book connects core concepts with practical industry applications and current developments. It begins with the foundations of transport and tourism, tracing the evolution of mobility and explaining how transportation influences destination growth, tourist behaviour and travel choices. Readers are introduced to tourism transport systems and Leiper’s Tourism Framework before moving into major transport modes, including road, rail, aviation and water-based travel. The book explores road tourism, tourist coaches, car rental and self-drive travel; railway tourism and luxury tourist trains in India; urban mobility, metro systems and smart transport; and the development, management and operations of civil aviation. It also covers airport management, airline operations, aviation regulation, air ticketing, CRS and GDS technologies, and airline marketing. Water-based topics include inland waterways, cruise and river cruise tourism, ports, ferries and coastal tourism. Later chapters address transport infrastructure, tourism transport planning, accessibility and the growing importance of inclusive mobility. A strong contemporary focus examines multimodal transport, intelligent transport systems, digital technologies, electric mobility, green transport and climate-resilient infrastructure. With learning objectives, chapter summaries, review questions, multiple-choice questions and analytical exercises, the book supports classroom teaching, self-study and professional reference. An informative resource for students, educators, researchers, tourism professionals, destination managers, transport planners and policy-oriented readers, this textbook provides a broad foundation for understanding how transportation shapes accessible, efficient and sustainable tourism.","url":"https://doi.org/10.5281/zenodo.21914618","authors":["Dr. Dillip Kumar Das","Arpan Tah"],"tags":["Tourism","Environmental impact of tourism","Travel","Travel/economics"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.21914618","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:56.014Z"},{"id":"doi:10.5281/zenodo.21914619","name":"Transport Systems in Travel and Tourism: Principles, Practices and Emerging Trends","source":"datacite","abstract":"Transport Systems in Travel and Tourism: Principles, Practices and Emerging Trends offers a structured guide to the systems that make modern travel and tourism possible. Designed for tourism, travel management, hospitality, business, geography and related learners, the book connects core concepts with practical industry applications and current developments. It begins with the foundations of transport and tourism, tracing the evolution of mobility and explaining how transportation influences destination growth, tourist behaviour and travel choices. Readers are introduced to tourism transport systems and Leiper’s Tourism Framework before moving into major transport modes, including road, rail, aviation and water-based travel. The book explores road tourism, tourist coaches, car rental and self-drive travel; railway tourism and luxury tourist trains in India; urban mobility, metro systems and smart transport; and the development, management and operations of civil aviation. It also covers airport management, airline operations, aviation regulation, air ticketing, CRS and GDS technologies, and airline marketing. Water-based topics include inland waterways, cruise and river cruise tourism, ports, ferries and coastal tourism. Later chapters address transport infrastructure, tourism transport planning, accessibility and the growing importance of inclusive mobility. A strong contemporary focus examines multimodal transport, intelligent transport systems, digital technologies, electric mobility, green transport and climate-resilient infrastructure. With learning objectives, chapter summaries, review questions, multiple-choice questions and analytical exercises, the book supports classroom teaching, self-study and professional reference. An informative resource for students, educators, researchers, tourism professionals, destination managers, transport planners and policy-oriented readers, this textbook provides a broad foundation for understanding how transportation shapes accessible, efficient and sustainable tourism.","url":"https://doi.org/10.5281/zenodo.21914619","authors":["Dr. Dillip Kumar Das","Arpan Tah"],"tags":["Tourism","Environmental impact of tourism","Travel","Travel/economics"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.21914619","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:56.014Z"},{"id":"doi:10.5281/zenodo.21015762","name":"Empirical Analysis of the Factors Affecting Public Acceptance and Adoption of Urban Air Mobility","source":"datacite","abstract":"Abstract: This study explores factors influencing Urban Air Mobility (UAM) acceptance and adoption, aiming to inform the successful integration of this transformative transportation mode into urban environments. Examining UAM acceptance components, positive experiences' impact, socio-demographic influences, and the relationship with individual travel decisions, the research uncovers nuanced insights. Analyzing a sample of 170 participants, correlations among UAM factors and demographics provide valuable context. As UAM addresses urban congestion, understanding public perceptions is pivotal. The study sheds light on the interconnected dynamics shaping UAM acceptance, offering guidance for policymakers and stakeholders. By fostering a comprehensive understanding of UAM's reception, this research contributes to informed decision-making, supporting the development of strategies aligned with urban populations' needs and expectations. Keywords: Urban Air Mobility, Public Acceptance, Urban Congestion, Public Perception, Travel Decisions, Transformative Transportation","url":"https://doi.org/10.5281/zenodo.21015762","authors":["Rakesh Yadav","Arvind Kumar Jain"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.21015762","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:43.695Z"},{"id":"doi:10.5281/zenodo.21015763","name":"Empirical Analysis of the Factors Affecting Public Acceptance and Adoption of Urban Air Mobility","source":"datacite","abstract":"Abstract: This study explores factors influencing Urban Air Mobility (UAM) acceptance and adoption, aiming to inform the successful integration of this transformative transportation mode into urban environments. Examining UAM acceptance components, positive experiences' impact, socio-demographic influences, and the relationship with individual travel decisions, the research uncovers nuanced insights. Analyzing a sample of 170 participants, correlations among UAM factors and demographics provide valuable context. As UAM addresses urban congestion, understanding public perceptions is pivotal. The study sheds light on the interconnected dynamics shaping UAM acceptance, offering guidance for policymakers and stakeholders. By fostering a comprehensive understanding of UAM's reception, this research contributes to informed decision-making, supporting the development of strategies aligned with urban populations' needs and expectations. Keywords: Urban Air Mobility, Public Acceptance, Urban Congestion, Public Perception, Travel Decisions, Transformative Transportation","url":"https://doi.org/10.5281/zenodo.21015763","authors":["Rakesh Yadav","Arvind Kumar Jain"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.21015763","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:43.695Z"},{"id":"doi:10.26153/tsw/64445","name":"Experimental comparison of hover performance and acoustics of coaxial co-rotating and counter-rotating rotors","source":"datacite","abstract":"This thesis presents an experimental investigation of a two-bladed 1.108 m radius coaxial co-rotating (or stacked) rotor and a coaxial counter-rotating (CCR) rotor of identical geometry to compare the acoustics and loads of both rotor configurations in hover. The rotors were operated at a tip Mach number of 0.40, tip Reynolds number of 765,000 and an axial spacing of 1.55 chord lengths, and the index angle between the upper and lower blades of the stacked rotor was varied. The overall sound pressure level (OASPL) was significantly larger for the CCR rotor. For example, at 8° collective pitch, total rotor noise at -45° angle of elevation was 6 dB greater for the CCR rotor than the stacked rotor. These increases in OASPL were driven by large increases in tonal noise for the CCR rotor, of up to 10 dB higher than the stacked rotor at some angles of elevation. This was attributed to additional tonal noise occurring at harmonics of the blade crossing frequency, due to vibratory loads generated by blade crossings. The results of the experimental study suggest that, in terms of reduced noise and increased hover efficiency, the stacked rotor is preferable to the CCR rotor for eVTOL vehicle configurations that implement compact or closely spaced designs.","url":"https://doi.org/10.26153/tsw/64445","authors":["Sedlacek, Vasha","0009-0003-9232-5194"],"tags":["Rotor noise","Aeroacoustics","eVTOL","Stacked rotor","Coaxial rotors","Urban air mobility"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.26153/tsw/64445","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:43.695Z"},{"id":"doi:10.48550/arxiv.2608.10309","name":"Wind-Informed Rapid Flight-Planning in Complex Urban Topologies via Machine Learning and Experimental Validation","source":"datacite","abstract":"Advanced air mobility operations hold the potential to enhance and expand regional transportation of both people and goods in populated areas. However, hazardous flight conditions arising from interactions between wind and the built environment remain a significant challenge for aerial vehicles in urban settings. This work proposes a novel framework towards safe flight planning of aerial vehicles in windy urban environments. A learning-based surrogate model is trained to rapidly predict flow fields from readily available information such as building geometry and incident wind. This surrogate prediction is used to calculate a volumetric flight challenge scalar field based on critical flow parameters and proximity to structures. A safe, flow-informed flight trajectory is then identified through a cost-minimizing pathfinder. The complete system is demonstrated experimentally through flight tests of a micro aerial vehicle through a model urban geometry placed in a large fan-array wind tunnel. Comparing this approach to trajectories generated without knowledge of the wind field, we find the flow-informed approach reduces undesired vehicle displacement and improves flight stability. This work is among the first practical demonstrations of safe, wind-aware methodologies for advanced air mobility in urban environments.","url":"https://doi.org/10.48550/arxiv.2608.10309","authors":["Renn, Peter I.","Stefan-Zavala, Alejandro A.","Humml, Julian","Talukder, Sabera","AlMazrouei, Aysha","Aji, Kresna","Mishra, Debashisha","Panizio, Emanuele","Simonjan, Jennifer","Yue, Yisong","Gharib, Morteza"],"tags":["Fluid Dynamics (physics.flu-dyn)","Robotics (cs.RO)","FOS: Physical sciences","FOS: Computer and information sciences"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.48550/arxiv.2608.10309","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:43.695Z"},{"id":"doi:10.6084/m9.figshare.33210655","name":"Quantifying the spatio-temporal sensitivity of NO<sub>2</sub> to daily human activities through interpretable machine learning: a case study in the USA","source":"datacite","abstract":"Human activities, such as mobility, manufacturing, and energy consumption, are major drivers of nitrogen dioxide (NO 2 ) emissions. Understanding the relationship between human activities and NO 2 emissions can help design effective air quality and sustainable planning policies. The premise is that human activities can be paused or stopped, which is not a foreseeable scenario. COVID-19 (Coronavirus disease 2019) pandemic has changed socioeconomic conditions, providing a unique opportunity to investigate the spatio-temporal response of NO 2 to human activities. This study examined the spatio-temporal associations between daily human activities and NO 2 concentrations across 255 counties in the U.S. using point-of-interest (POI) visit data. A Light Gradient-Boosting Machine (LightGBM) regression framework was employed to model NO 2 concentrations primarily based on human activities data, with model interpretability enhanced through SHapley Additive exPlanations (SHAP) analysis. The NO 2 simulation accuracy was improved by incorporating human activities data, with SHAP analysis confirming its consistently positive contributions. Sensitivity analysis across two perspectives were conducted to investigate the responses of NO 2 to changes in human activities i.e. (i) in highly urbanized cities, the complete restrictions of human activities corresponded to a 28.2% decrease in NO 2 concentrations, whereas an ambitious doubling of human activities was associated with a 20.3% rise, and (ii) before the pandemic, a reduction in visits corresponded to a 2.1% decrease and only a 0.6% decrease during the lockdown. These findings suggest that integrating high-resolution human activity data can enhance NO 2 modeling compared to using only meteorological, topographical, road network, land-use, and building data. This study further highlights the differentiated sensitivities observed across urbanization levels and restriction periods, underscoring the potential of targeted sustainable travel management strategies in mitigating urban NO 2 pollution.","url":"https://doi.org/10.6084/m9.figshare.33210655","authors":["Yifan Luo","Xinyu Yu","Majid Nazeer","Joon Heo","Mei-Po Kwan","Yuan Meng","Coco Yin Tung Kwok","Man Sing Wong"],"tags":["Biochemistry","Neuroscience","Environmental Sciences not elsewhere classified","Chemical Sciences not elsewhere classified","Science Policy","Sociology","Biological Sciences not elsewhere classified","Information Systems not elsewhere classified"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.6084/m9.figshare.33210655","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:43.695Z"},{"id":"doi:10.6084/m9.figshare.33210655.v1","name":"Quantifying the spatio-temporal sensitivity of NO<sub>2</sub> to daily human activities through interpretable machine learning: a case study in the USA","source":"datacite","abstract":"Human activities, such as mobility, manufacturing, and energy consumption, are major drivers of nitrogen dioxide (NO 2 ) emissions. Understanding the relationship between human activities and NO 2 emissions can help design effective air quality and sustainable planning policies. The premise is that human activities can be paused or stopped, which is not a foreseeable scenario. COVID-19 (Coronavirus disease 2019) pandemic has changed socioeconomic conditions, providing a unique opportunity to investigate the spatio-temporal response of NO 2 to human activities. This study examined the spatio-temporal associations between daily human activities and NO 2 concentrations across 255 counties in the U.S. using point-of-interest (POI) visit data. A Light Gradient-Boosting Machine (LightGBM) regression framework was employed to model NO 2 concentrations primarily based on human activities data, with model interpretability enhanced through SHapley Additive exPlanations (SHAP) analysis. The NO 2 simulation accuracy was improved by incorporating human activities data, with SHAP analysis confirming its consistently positive contributions. Sensitivity analysis across two perspectives were conducted to investigate the responses of NO 2 to changes in human activities i.e. (i) in highly urbanized cities, the complete restrictions of human activities corresponded to a 28.2% decrease in NO 2 concentrations, whereas an ambitious doubling of human activities was associated with a 20.3% rise, and (ii) before the pandemic, a reduction in visits corresponded to a 2.1% decrease and only a 0.6% decrease during the lockdown. These findings suggest that integrating high-resolution human activity data can enhance NO 2 modeling compared to using only meteorological, topographical, road network, land-use, and building data. This study further highlights the differentiated sensitivities observed across urbanization levels and restriction periods, underscoring the potential of targeted sustainable travel management strategies in mitigating urban NO 2 pollution.","url":"https://doi.org/10.6084/m9.figshare.33210655.v1","authors":["Yifan Luo","Xinyu Yu","Majid Nazeer","Joon Heo","Mei-Po Kwan","Yuan Meng","Coco Yin Tung Kwok","Man Sing Wong"],"tags":["Biochemistry","Neuroscience","Environmental Sciences not elsewhere classified","Chemical Sciences not elsewhere classified","Science Policy","Sociology","Biological Sciences not elsewhere classified","Information Systems not elsewhere classified"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.6084/m9.figshare.33210655.v1","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:43.695Z"},{"id":"doi:10.24406/publica-8557","name":"Enhancing Product Design in Electric Aviation Through Digital Twins and Production Feedback Integration","source":"datacite","abstract":"Electric flight accelerates innovation and demands digitalization. DIREKT develops digital twins across the lifecycle of (hybrid) electric propulsion systems to fuse data, cut costs, and shorten time-to-market. In this context we present a production-to-design feedback approach. A system is developed which compares the scanned manufactured part with the design to visualize manufacturing deviations to improve upcoming designs. The system is tested with three different additive manufacturing technologies and two parts from an urban air mobility electric propulsion system. Furthermore, the comparison data is stored in a knowledge base for machine-learning-driven deviation prediction later on.","url":"https://doi.org/10.24406/publica-8557","authors":["Brünnhäußer, Jörg","Dziubinska, Magdalena","Zakheer, Umer","Bilous, Vadym","Zimmermann, Thomas","Joost, Robert","Lindow, Kai",":unav"],"tags":["feedback to design","digital twin","product design","geometric deviation analysis"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.24406/publica-8557","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:43.695Z"},{"id":"doi:10.13021/mars/5798","name":"Rooftops to Rice Paddies: Aerial Utopianism, Helicopters, and the Creation of the National Security State","source":"datacite","abstract":"This thesis describes the social construction of rotorcraft technology in the United States through the lens of the industry’s largest customer, the military, which provides a counternarrative to the deterministic inventor-entrepreneur accounts of rotary-wing development. The author argues that, as the federal state expanded rapidly between the New Deal and the Vietnam War, short-range aerial mobility (“vertical flight”) became central to new conceptions of American power, both at home and abroad. During the 1930s and ‘40s, the helicopter and its rotary-wing antecedent, the Autogiro, featured in the popular imagination as technologically modernist responses to the challenges of movement in dynamic urban landscapes, but failed to gain enough commercial investment to sustain the emergent rotorcraft industry. Meanwhile, military officers, like H. Franklin Gregory, explored the use of vertical flight as a solution to the uncertainties of modern warfare waged over difficult geographies, and in the process, provided a solid industrial base for helicopter manufacturing. By the Cold War, despite persistent hopes that vertical flight would transform the American landscape, military imperatives overshadowed commercial development as Army and Marine Corps leaders embraced helicopter mobility as an answer to the chaos of the atomic battlefield. General James Gavin’s reconfiguration of the Army around helicopters and battlefield atomic weapons, and an expansive application of force in Cold War geographies, rapidly brought vertical flight to the forefront of American power, including as a means of domestic authority and control. The prominent rise of military vertical flight contrasted starkly with the repeated failures of civil agencies to implement urban air mobility.","url":"https://doi.org/10.13021/mars/5798","authors":["(:Unkn) Unknown"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2020","doi":"10.13021/mars/5798","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:43.695Z"},{"id":"doi:10.5281/zenodo.21829025","name":"Learning-Based Pre-tactical Conflict Management Strategy for Urban Air Mobility","source":"datacite","abstract":"","url":"https://doi.org/10.5281/zenodo.21829025","authors":["Wang, Yuheng","Zhang, Tinghe","Wei, Peng","Li, Ang"],"tags":["Aviation","Air traffic management"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.21829025","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:43.695Z"},{"id":"doi:10.5281/zenodo.21829026","name":"Learning-Based Pre-tactical Conflict Management Strategy for Urban Air Mobility","source":"datacite","abstract":"","url":"https://doi.org/10.5281/zenodo.21829026","authors":["Wang, Yuheng","Zhang, Tinghe","Wei, Peng","Li, Ang"],"tags":["Aviation","Air traffic management"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.21829026","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:43.695Z"},{"id":"doi:10.48550/arxiv.2508.16440","name":"Integrated Noise and Safety Management in UAM via A Unified Reinforcement Learning Framework","source":"datacite","abstract":"Urban Air Mobility (UAM) envisions the widespread use of small aerial vehicles to transform transportation in dense urban environments. However, UAM faces critical operational challenges, particularly the balance between minimizing noise exposure and maintaining safe separation in low-altitude urban airspace, two potentially conflicting objectives that are often addressed separately. We propose a reinforcement learning (RL)-based air traffic management system that integrates both noise and safety considerations within a unified, decentralized framework. Under this scalable air traffic coordination solution, agents operate in a structured, multi-layered airspace and learn altitude adjustment policies to jointly manage noise impact and separation constraints. The system demonstrates strong performance across both objectives and reveals tradeoffs among separation, noise exposure, and energy efficiency under high traffic density. Among the three objectives, safe separation is accorded the highest priority, whereas the relative significance of noise and energy varies by location and is contingent upon financial and public policy considerations. The findings highlight the potential of RL and multi-objective coordination strategies in enhancing the safety, quietness, and efficiency of UAM operations.","url":"https://doi.org/10.48550/arxiv.2508.16440","authors":["Murthy, Surya","Gao, Zhenyu","Clarke, John-Paul","Topcu, Ufuk"],"tags":["Multiagent Systems (cs.MA)","Machine Learning (cs.LG)","FOS: Computer and information sciences"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.48550/arxiv.2508.16440","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:43.695Z"},{"id":"doi:10.4231/16pj-x043","name":"Aerodrome Throughput Analysis for High Frequency Ridesharing-Enabled Urban Air Mobility Operations: Additional Results","source":"datacite","abstract":"&lt;p&gt;This publication is intended to support the readers of the AIAA Aviation 2025 article titled:&amp;nbsp;Aerodrome Throughput Analysis for High Frequency Ridesharing-Enabled Urban Air Mobility Operations.&amp;nbsp;&lt;/p&gt;","url":"https://doi.org/10.4231/16pj-x043","authors":["Biswas, Somrick","Gerardus, Jonah","Mall, Kshitij","Delaurentis, Daniel","Crossley, William","michael.d.patterson@nasa.gov","brandon.e.sells@nasa.gov"],"tags":["NASA","urban air mobility","thr","FOS: Mechanical engineering"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.4231/16pj-x043","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:52.013Z"},{"id":"doi:10.21256/zhaw-33982","name":"Schwammstadt-Superblock als Chance für die Stadt von heute","source":"datacite","abstract":"Städte sind dynamisch, was eine Vielzahl komplexer Herausforderungen mit sich bringt. Zu den bedeutendsten Problemen zählen das Bevölkerungswachstum, der Klimawandel, der Verlust der Biodiversität, soziale Ungleichheiten und die Zersiedelung. Die unzureichende Anpassung städtischer Infrastrukturen und Planungen an die aktuellen Anforderungen führt zu sozialen, ökologischen und ökonomischen Problemen. Ziel dieser Arbeit ist es, das Potenzial der Kombination der stadtplanerischen Anpassungsstrategien «Schwammstadt» und «Superblock» zu untersuchen, um einen Beitrag zur Entwicklung einer klimaangepassten und gerechten Stadt der Zukunft zu leisten. Hierfür wird eine Literaturrecherche zu den gegenwärtigen Herausforderungen in mittel- und westeuropäischen Städten sowie eine ausführliche Literaturrecherche der Konzepte Superblock und Schwammstadt durchgeführt. Darauf basierend wird anschliessend ein Konzept für einen «Schwammstadt-Superblock» an einem zentralen Standort in der Stadt Zürich entwickelt. Das Konzept der Superblocks konzentriert sich auf die Förderung fussgänger:innen- und velo-freundlicher Mobilität, die Verbesserung der Luft- und Aussenraumqualität, den Zugang zu nahegelegenen Grünflächen und die Förderung sozialer Durchmischung. Das Schwammstadt-Prinzip hingegen adressiert die Schaffung urbaner Grünflächen, das Regenwassermanagement, die Verbesserung des Mikroklimas und die Stärkung der Klimaresilienz. Die Ergebnisse der Literaturrecherche und der Standortanalyse zeigen, dass die Kombination der Konzepte Schwammstadt und Superblock Synergien bildet. Diese Kombination erweist sich als besonders effektiv, da sie die jeweiligen Stärken der beiden Ansätze vereint. Durch die Implementierung eines Superblocks wird zusätzlicher Raum in dicht besiedelten Quartieren geschaffen, der für Grünflächen im Rahmen der Schwammstadt genutzt werden kann. Die Elemente der Schwammstadt tragen zur Verbesserung des Mikroklimas und der Aufenthaltsqualität bei, was wiederum positive Auswirkungen auf die Gesundheit der Bewohnerinnen und Bewohner hat. Die Verknüpfung beider Konzepte ermöglicht es, auf ökonomischer, ökologischer und sozialer Ebene Vorteile zu realisieren. Es wird empfohlen, das entwickelte Konzept nicht nur an einem einzelnen Standort, sondern an verschiedenen Standorten innerhalb der Stadt anzuwenden, um eine gerechtere und nachhaltigere Stadtentwicklung zu fördern. Das vorgestellte Konzept eignet sich gut für die Anwendbarkeit in Zürich. Aufgrund der Flexibilität des «Schwammstadt-Superblocks» können die Erkenntnisse und Lösungen jedoch auch auf andere Städte in der Schweiz und Europa übertragen werden. Diese Anpassungsfähigkeit stellt einen erheblichen Vorteil dar, da städtebauliche Gegebenheiten, verfügbare Flächen und Ressourcen je nach Standort variieren. Für eine erfolgreiche Umsetzung und Akzeptanz sind die Priorisierung seitens der Städte sowie eine klare Kommunikation und der Einbezug der Bevölkerung entscheidend.","url":"https://doi.org/10.21256/zhaw-33982","authors":["Riedel, Jana Maria"],"tags":["Schwammstadt-Superblock","Zürich","Blau-grüne Infrastruktur","Nachhaltige Stadtentwicklung","Kreis 5","711: Raumplanung (Städtebau)"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.21256/zhaw-33982","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:56.014Z"},{"id":"doi:10.21256/zhaw-30248","name":"Navigation needs for the unpiloted airspace","source":"datacite","abstract":"The paper discusses the challenges of providing resilient navigation services to Advanced Air Mobility (AAM) and Uncrewed Aeronautical Systems (UAS) in various types of environments in, around and above urban areas. The analysis shows that at least three different types of urban/suburban environments are relevant, and the paper proposes a criterion to distinguish them, based on how much surrounding buildings influence radio propagation in a particular volume. Finally, the paper also proposes pathways to solving the foreseeable problems with three concepts that will enable higher navigation accuracy in urban environments: a low-power terrestrial navigation aid based on multifunction communication systems, a GNSS augmentation service with reduced time-to-alert, and a landing system for AAM aircraft drones in urban environments.","url":"https://doi.org/10.21256/zhaw-30248","authors":["Osechas, Okuary","Felux, Michael","McGraw, Gary"],"tags":["UAV","AAM","UAS","Navigation","629: Luftfahrt- und Fahrzeugtechnik"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.21256/zhaw-30248","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:43.695Z"},{"id":"doi:10.48550/arxiv.2607.29017","name":"An ArcGIS Framework for Mapping Human-Centered Noise Annoyance for AAM Infrastructure Planning","source":"datacite","abstract":"Advanced Air Mobility (AAM) represents a transformative shift in urban transportation; however, successful implementation depends strongly on public acceptance, with noise emerging as a major concern for low-altitude electric vertical takeoff and landing (eVTOL) operations. Existing studies commonly describe eVTOL noise using acoustic metrics such as A-weighted sound level and day-night average sound level. This study develops a Geographic Information System (GIS)-based framework that translates eVTOL acoustic outputs into maps representing the percentage of the population that is highly annoyed (%HA) for a representative medical delivery route in Northwest Arkansas. The results show that noise and annoyance generally decrease with distance from the route, while the highest annoyance occurs during descent, followed by climb and cruise. Census population data are integrated to estimate the number of highly annoyed individuals and identify spatial impact hotspots. Noise-annoyance results are then combined with route distance and airspace factors to evaluate alternative routes and identify balanced routing strategies. The proposed framework connects acoustic assessment with human response and supports the identification of noise-sensitive areas, comparison of route alternatives, and socially sustainable AAM infrastructure planning.","url":"https://doi.org/10.48550/arxiv.2607.29017","authors":["Saha, Swapnil","Mistry, Zubin","Majumdar, Neelakshi"],"tags":["Systems and Control (eess.SY)","FOS: Electrical engineering, electronic engineering, information engineering"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.48550/arxiv.2607.29017","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:50.721Z"},{"id":"doi:10.6084/m9.figshare.33136607","name":"DemoAIR","source":"datacite","abstract":"This project is linked to a manuscript entitled “DemoAIR: Fine-grained urban air-pollutant estimation with multi-modal imagery and geography-aware dual-view graph learning”, which proposes DemoAIR, a geography-aware dual-view graph representation learning framework for fine-grained urban air pollutant estimation by integrating satellite imagery, street-view imagery, human mobility, and urban functional information.","url":"https://doi.org/10.6084/m9.figshare.33136607","authors":["JS C"],"tags":["Artificial intelligence not elsewhere classified"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.6084/m9.figshare.33136607","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:43.695Z"},{"id":"doi:10.6084/m9.figshare.33136607.v1","name":"DemoAIR","source":"datacite","abstract":"This project is linked to a manuscript entitled “DemoAIR: Fine-grained urban air-pollutant estimation with multi-modal imagery and geography-aware dual-view graph learning”, which proposes DemoAIR, a geography-aware dual-view graph representation learning framework for fine-grained urban air pollutant estimation by integrating satellite imagery, street-view imagery, human mobility, and urban functional information.","url":"https://doi.org/10.6084/m9.figshare.33136607.v1","authors":["JS C"],"tags":["Artificial intelligence not elsewhere classified"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.6084/m9.figshare.33136607.v1","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:43.695Z"},{"id":"doi:10.4232/1.14772","name":"GESIS Panel.pop Population Sample – Standard Edition","source":"datacite","abstract":"Das GESIS-Panel bietet eine wahrscheinlichkeitsbasierte Mixed-Mode-Access-Panel-Infrastruktur am GESIS Leibniz-Institut für Sozialwissenschaften in Mannheim. Das Projekt bietet der sozialwissenschaftlichen Community die Möglichkeit, Erhebungsdaten aus einer repräsentativen Stichprobe der deutschen Bevölkerung zu erheben. Die eingereichten Studienvorschläge werden auf der Grundlage eines wissenschaftlichen Begutachtungsverfahrens bewertet. Die Rekrutierung der Panelmitglieder erfolgte zunächst im Jahr 2013 in persönlichen Interviews, gefolgt von einer selbst durchgeführten Profilbefragung. Der Modus wurde von den Teilnehmern gewählt. Alle Teilnehmer der Profilbefragung werden als Mitglieder des Panels betrachtet und zu den alle zwei Monate stattfindenden regelmäßigen Wellen eingeladen. Die Startkohorte umfasste Anfang 2014 4900 Panelisten. Um den Panelabrieb zu kompensieren, wurde im Jahr 2016 eine Auffrischungsstichprobe mit Hilfe des German General Social Survey (ALLBUS) gezogen. Die erste Kohorte umfasst deutschsprachige Befragte im Alter zwischen 18 und 70 Jahren (zum Zeitpunkt der Einstellung) mit ständigem Wohnsitz in Deutschland, während die zweite Kohorte Befragte ab 18 Jahren ohne Obergrenze umfasst. Im Jahr 2018 wurde eine dritte Rekrutierungsstichprobe gezogen, die mit der Welle ge integriert wurde. Auch die dritte Kohorte umfasst Befragte ab 18 Jahren ohne Obergrenze.Rückwirkend wurden die Fälle bis einschließlich Welle fc (dritte Welle aus 2018) in den Daten ergänzt. Nähere Informationen finden Sie im Data Manual (ZA5664-65_sd_data-manual) und dem entsprechenden Rekrutierungsbericht (ZA5664-65_mb_recruitment2018). Die Stichproben des German General Social Survey (ALLBUS) basieren auf einer disproportionalen Stichprobe von Befragten aus West- und Ostdeutschland. Ein Designgewicht, das die Integration der beiden Rekrutierungskohorten ermöglicht, ist im Datensatz enthalten. Nähere Einzelheiten entnehmen Sie bitte den Methodenberichten der Einstellungsverfahren und dem GESIS-Panel-Referenzpapier (Bosnjak et al., 2017). Im März 2020 wurde eine Sondererhebung des GESIS-Panels zum Ausbruch des Coronavirus SARS-CoV-2 bzw. COVID-19 in Deutschland durchgeführt. Im Jahr 2021 wurde die vierte Rekrutierungsstichprobe mit Hilfe des German International Social Survey Programme (ISSP) gezogen, die mit der Welle ja integriert wurde. Die vierte Kohorte umfasst ebenfalls Befragte ab 18 Jahren ohne Obergrenze. Nähere Informationen finden Sie im entsprechenden Rekrutierungsbericht (ZA5664-65_r_i12.pdf). Im Jahr 2023 wurde die fünfte Rekrutierungsstichprobe mit Hilfe des German European Social Survey (ESS Round 11) gezogen, die mit der Welle la integriert wurde. Die fünfte Kohorte umfasst Befragte ab 18 Jahren ohne Obergrenze. Nähere Informationen finden Sie im entsprechenden Rekrutierungsbericht (ZA5664-65_r_k12.pdf). GESIS Panel Demographic Dataset Ab Version 43-0-0 ist der demografische Längsschnittdatensatz Teil des Veröffentlichungspaketes. Bei dem Datensatz handelt es sich um einen längsschnittlichen Datensatz (long format), mit harmonisierten Messungen zu demografischen Variablen: Befragten ID; Erhebungszeitpunkt; entsprechende Welle; Erhebungsjahr; Rekrutierungskohorte; Geschlecht des Befragten; Geburtsjahr; höchster Bildungsabschluss; persönliches Nettoeinkommen; Haushaltsnettoeinkommen; Familienstand; AAPOR disposition code; Einladungsmodus; Teilnahmemodus.","url":"https://doi.org/10.4232/1.14772","authors":["GESIS"],"tags":["KAT12 Internationale Institutionen, Beziehungen, VerhältnisseKAT15 Politische Einstellungen und VerhaltensweisenKAT16 Politische Parteien, VerbändeKAT20 Rechtssystem, Rechtsprechung, GesetzKAT37 Arbeit und BetriebKAT40 Konsumstruktur, KonsumverhaltenKAT41 Sparen, Geldanlagen, VermögensbildungKAT51 Gemeinde, WohnumweltKAT56 Universität, Forschung, WissenschaftKAT59 MedizinKAT60 FreizeitKAT62 Kommunikation, öffentliche Meinung, MedienKAT30 WirtschaftssystemeKAT54 Person, Persönlichkeit, RolleKAT65 Umwelt, Natur","Soziale Lage und soziale Indikatoren","Informationsgesellschaft","Medien","Politisches Verhalten und politische Einstellungen","Informations- und Kommunikationstechnologie","Regierung, politische Systeme, Parteien und Organisationen","Wahlen"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.4232/1.14772","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:56.014Z"},{"id":"doi:10.4232/1.14771","name":"GESIS Panel.pop Population Sample – Extended Edition","source":"datacite","abstract":"Das GESIS-Panel bietet eine wahrscheinlichkeitsbasierte Mixed-Mode-Access-Panel-Infrastruktur am GESIS Leibniz-Institut für Sozialwissenschaften in Mannheim. Das Projekt bietet der sozialwissenschaftlichen Community die Möglichkeit, Erhebungsdaten aus einer repräsentativen Stichprobe der deutschen Bevölkerung zu erheben. Die eingereichten Studienvorschläge werden auf der Grundlage eines wissenschaftlichen Begutachtungsverfahrens bewertet. Die Rekrutierung der Panelmitglieder erfolgte zunächst im Jahr 2013 in persönlichen Interviews, gefolgt von einer selbst durchgeführten Profilbefragung. Der Modus wurde von den Teilnehmern gewählt. Alle Teilnehmer der Profilbefragung werden als Mitglieder des Panels betrachtet und zu den alle zwei Monate stattfindenden regelmäßigen Wellen eingeladen. Die Startkohorte umfasste Anfang 2014 4900 Panelisten. Um den Panelabrieb zu kompensieren, wurde im Jahr 2016 eine Auffrischungsstichprobe mit Hilfe des German General Social Survey (ALLBUS) gezogen. Die erste Kohorte umfasst deutschsprachige Befragte im Alter zwischen 18 und 70 Jahren (zum Zeitpunkt der Einstellung) mit ständigem Wohnsitz in Deutschland, während die zweite Kohorte Befragte ab 18 Jahren ohne Obergrenze umfasst. Im Jahr 2018 wurde eine dritte Rekrutierungsstichprobe gezogen, die mit der Welle ge integriert wurde. Auch die dritte Kohorte umfasst Befragte ab 18 Jahren ohne Obergrenze.Rückwirkend wurden die Fälle bis einschließlich Welle fc (dritte Welle aus 2018) in den Daten ergänzt. Nähere Informationen finden Sie im Data Manual (ZA5664-65_sd_data-manual) und dem entsprechenden Rekrutierungsbericht (ZA5664-65_mb_recruitment2018). Die Stichproben des German General Social Survey (ALLBUS) basieren auf einer disproportionalen Stichprobe von Befragten aus West- und Ostdeutschland. Ein Designgewicht, das die Integration der beiden Rekrutierungskohorten ermöglicht, ist im Datensatz enthalten. Nähere Einzelheiten entnehmen Sie bitte den Methodenberichten der Einstellungsverfahren und dem GESIS-Panel-Referenzpapier (Bosnjak et al., 2017). Im März 2020 wurde eine Sondererhebung des GESIS-Panels zum Ausbruch des Coronavirus SARS-CoV-2 bzw. COVID-19 in Deutschland durchgeführt. Im Jahr 2021 wurde die vierte Rekrutierungsstichprobe mit Hilfe des German International Social Survey Programme (ISSP) gezogen, die mit der Welle ja integriert wurde. Die vierte Kohorte umfasst ebenfalls Befragte ab 18 Jahren ohne Obergrenze. Nähere Informationen finden Sie im entsprechenden Rekrutierungsbericht (ZA5664-65_r_i12.pdf). Im Jahr 2023 wurde die fünfte Rekrutierungsstichprobe mit Hilfe des German European Social Survey (ESS Round 11) gezogen, die mit der Welle la integriert wurde. Die fünfte Kohorte umfasst Befragte ab 18 Jahren ohne Obergrenze. Nähere Informationen finden Sie im entsprechenden Rekrutierungsbericht (ZA5664-65_r_k12.pdf). GESIS Panel Demographic Dataset Ab Version 43-0-0 ist der demografische Längsschnittdatensatz Teil des Veröffentlichungspaketes. Bei dem Datensatz handelt es sich um einen längsschnittlichen Datensatz (long format), mit harmonisierten Messungen zu demografischen Variablen: Befragten ID; Erhebungszeitpunkt; entsprechende Welle; Erhebungsjahr; Rekrutierungskohorte; Geschlecht des Befragten; Geburtsjahr; Geburtsmonat; höchster Bildungsabschluss; persönliches Nettoeinkommen; Haushaltsnettoeinkommen; Familienstand; AAPOR disposition code; Einladungsmodus; Teilnahmemodus.","url":"https://doi.org/10.4232/1.14771","authors":["GESIS"],"tags":["KAT12 Internationale Institutionen, Beziehungen, VerhältnisseKAT15 Politische Einstellungen und VerhaltensweisenKAT16 Politische Parteien, VerbändeKAT20 Rechtssystem, Rechtsprechung, GesetzKAT37 Arbeit und BetriebKAT40 Konsumstruktur, KonsumverhaltenKAT41 Sparen, Geldanlagen, VermögensbildungKAT51 Gemeinde, WohnumweltKAT56 Universität, Forschung, WissenschaftKAT59 MedizinKAT60 FreizeitKAT62 Kommunikation, öffentliche Meinung, MedienKAT30 WirtschaftssystemeKAT54 Person, Persönlichkeit, RolleKAT65 Umwelt, Natur","Soziale Lage und soziale Indikatoren","Informationsgesellschaft","Medien","Politisches Verhalten und politische Einstellungen","Informations- und Kommunikationstechnologie","Regierung, politische Systeme, Parteien und Organisationen","Wahlen"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.4232/1.14771","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:56.014Z"},{"id":"doi:10.5281/zenodo.21719728","name":"# \"SOLAR-ELECTRIC MOBILITY FOR SUSTAINABLE CITIES: A Comprehensive Framework for Design Optimization, Performance Analysis, Energy Management, and Environmental Impact Assessment of Solar-Powered Electric Vehicles\"  ---","source":"datacite","abstract":"## ALTERNATIVE TITLES ### Primary Alternative Titles: 1. **\"Solar-Powered Electric Vehicles: An Integrated Approach to Sustainable Urban Transportation Design and Performance Optimization\"** 2. **\"Harnessing Solar Energy for Electric Mobility: From Photovoltaic Integration to Carbon-Neutral Transportation\"** 3. **\"The Solar-Electric Vehicle Platform: Design Principles, Energy Efficiency, and Environmental Sustainability\"** 4. **\"Sustainable Urban Transportation Through Solar-Electric Mobility: A Comprehensive Framework for Design and Performance Evaluation\"** 5. **\"Renewable Energy in Motion: Solar-Assisted Electric Vehicles for Smart and Sustainable Cities\"** ### Academic/Scholarly Alternative Titles: 6. **\"Solar-Electric Mobility Systems: An Interdisciplinary Analysis of Photovoltaic Integration, Battery Management, and Propulsion Efficiency\"** 7. **\"The Science of Solar-Powered Transportation: Energy Conversion, Storage, and Vehicle Performance Optimization\"** 8. **\"From Sunlight to Mobility: A Comprehensive Review of Solar Electric Vehicle Technologies, Performance Metrics, and Sustainability Assessment\"** 9. **\"Photovoltaic-Electric Vehicle Integration: Design Methodologies, Energy Analysis, and Environmental Life Cycle Assessment\"** 10. **\"Sustainable Urban Mobility Through Solar Energy: A Multidisciplinary Framework for Electric Vehicle Development\"** ### Engineering & Technical Alternative Titles: 11. **\"Design and Development of a Solar-Assisted Battery Electric Vehicle: Systems Engineering, Performance Analysis, and Optimization\"** 12. **\"Solar Electric Vehicle Engineering: Photovoltaic Systems, Battery Management, and Propulsion Technology\"** 13. **\"Technical Performance Evaluation of Solar-Powered Electric Vehicles: Energy Efficiency, Range, and Charging Strategies\"** 14. **\"Advanced Solar-Electric Vehicle Architecture: Component Selection, Integration, and Performance Optimization\"** 15. **\"Photovoltaic-Battery-Electric Propulsion Systems: Design, Modeling, and Performance Characterization\"** ### Environmental & Sustainability Alternative Titles: 16. **\"Carbon-Neutral Transportation Through Solar Electric Vehicles: Environmental Benefits, Emissions Reduction, and Sustainability Assessment\"** 17. **\"Green Mobility Solutions: Environmental Impact Assessment of Solar-Powered Electric Vehicle Platforms\"** 18. **\"Solar Electric Vehicles and Sustainable Development: Reducing Carbon Footprint Through Renewable Energy Integration\"** 19. **\"The Environmental Imperative: Solar-Electric Mobility for Climate Change Mitigation and Urban Air Quality Improvement\"** 20. **\"Life Cycle Sustainability Assessment of Solar-Powered Electric Vehicles: From Manufacturing to End-of-Life\"** ### Technology & Innovation Alternative Titles: 21. **\"Next-Generation Solar Electric Mobility: Emerging Technologies, AI Integration, and Smart Charging Systems\"** 22. **\"Innovations in Solar-Powered Transportation: Perovskite Solar Cells, Solid-State Batteries, and Autonomous Mobility\"** 23. **\"The Future of Sustainable Urban Transport: Solar-Electric Vehicles with AI-Enabled Energy Management\"** 24. **\"Smart Solar Mobility: IoT-Enabled Vehicle Monitoring, Predictive Energy Management, and V2G Integration\"** 25. **\"Digital Twins and Solar Electric Vehicles: Virtual Modeling for Performance Optimization and Predictive Maintenance\"** ### Comprehensive Alternative Titles: 26. **\"The Complete Guide to Solar-Powered Electric Vehicles: Design, Performance, Energy Management, and Environmental Impact\"** 27. **\"Solar Electric Mobility Unlocked: A Comprehensive Analysis of Technologies, Performance Metrics, and Sustainability Pathways\"** 28. **\"Pathways to Sustainable Transportation: An Integrated Framework for Solar-Electric Vehicle Development and Deployment\"** 29. **\"The Solar Mobility Ecosystem: Understanding Technology, Infrastructure, Policy, and Environmental Dimensions\"** 30. **\"Towards Zero-Emission Urban Transport: Solar-Electric Vehicles and the Fut","url":"https://doi.org/10.5281/zenodo.21719728","authors":["geruganti, sudhakar"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.21719728","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:56.014Z"},{"id":"doi:10.5281/zenodo.21719729","name":"# \"SOLAR-ELECTRIC MOBILITY FOR SUSTAINABLE CITIES: A Comprehensive Framework for Design Optimization, Performance Analysis, Energy Management, and Environmental Impact Assessment of Solar-Powered Electric Vehicles\"  ---","source":"datacite","abstract":"## ALTERNATIVE TITLES ### Primary Alternative Titles: 1. **\"Solar-Powered Electric Vehicles: An Integrated Approach to Sustainable Urban Transportation Design and Performance Optimization\"** 2. **\"Harnessing Solar Energy for Electric Mobility: From Photovoltaic Integration to Carbon-Neutral Transportation\"** 3. **\"The Solar-Electric Vehicle Platform: Design Principles, Energy Efficiency, and Environmental Sustainability\"** 4. **\"Sustainable Urban Transportation Through Solar-Electric Mobility: A Comprehensive Framework for Design and Performance Evaluation\"** 5. **\"Renewable Energy in Motion: Solar-Assisted Electric Vehicles for Smart and Sustainable Cities\"** ### Academic/Scholarly Alternative Titles: 6. **\"Solar-Electric Mobility Systems: An Interdisciplinary Analysis of Photovoltaic Integration, Battery Management, and Propulsion Efficiency\"** 7. **\"The Science of Solar-Powered Transportation: Energy Conversion, Storage, and Vehicle Performance Optimization\"** 8. **\"From Sunlight to Mobility: A Comprehensive Review of Solar Electric Vehicle Technologies, Performance Metrics, and Sustainability Assessment\"** 9. **\"Photovoltaic-Electric Vehicle Integration: Design Methodologies, Energy Analysis, and Environmental Life Cycle Assessment\"** 10. **\"Sustainable Urban Mobility Through Solar Energy: A Multidisciplinary Framework for Electric Vehicle Development\"** ### Engineering & Technical Alternative Titles: 11. **\"Design and Development of a Solar-Assisted Battery Electric Vehicle: Systems Engineering, Performance Analysis, and Optimization\"** 12. **\"Solar Electric Vehicle Engineering: Photovoltaic Systems, Battery Management, and Propulsion Technology\"** 13. **\"Technical Performance Evaluation of Solar-Powered Electric Vehicles: Energy Efficiency, Range, and Charging Strategies\"** 14. **\"Advanced Solar-Electric Vehicle Architecture: Component Selection, Integration, and Performance Optimization\"** 15. **\"Photovoltaic-Battery-Electric Propulsion Systems: Design, Modeling, and Performance Characterization\"** ### Environmental & Sustainability Alternative Titles: 16. **\"Carbon-Neutral Transportation Through Solar Electric Vehicles: Environmental Benefits, Emissions Reduction, and Sustainability Assessment\"** 17. **\"Green Mobility Solutions: Environmental Impact Assessment of Solar-Powered Electric Vehicle Platforms\"** 18. **\"Solar Electric Vehicles and Sustainable Development: Reducing Carbon Footprint Through Renewable Energy Integration\"** 19. **\"The Environmental Imperative: Solar-Electric Mobility for Climate Change Mitigation and Urban Air Quality Improvement\"** 20. **\"Life Cycle Sustainability Assessment of Solar-Powered Electric Vehicles: From Manufacturing to End-of-Life\"** ### Technology & Innovation Alternative Titles: 21. **\"Next-Generation Solar Electric Mobility: Emerging Technologies, AI Integration, and Smart Charging Systems\"** 22. **\"Innovations in Solar-Powered Transportation: Perovskite Solar Cells, Solid-State Batteries, and Autonomous Mobility\"** 23. **\"The Future of Sustainable Urban Transport: Solar-Electric Vehicles with AI-Enabled Energy Management\"** 24. **\"Smart Solar Mobility: IoT-Enabled Vehicle Monitoring, Predictive Energy Management, and V2G Integration\"** 25. **\"Digital Twins and Solar Electric Vehicles: Virtual Modeling for Performance Optimization and Predictive Maintenance\"** ### Comprehensive Alternative Titles: 26. **\"The Complete Guide to Solar-Powered Electric Vehicles: Design, Performance, Energy Management, and Environmental Impact\"** 27. **\"Solar Electric Mobility Unlocked: A Comprehensive Analysis of Technologies, Performance Metrics, and Sustainability Pathways\"** 28. **\"Pathways to Sustainable Transportation: An Integrated Framework for Solar-Electric Vehicle Development and Deployment\"** 29. **\"The Solar Mobility Ecosystem: Understanding Technology, Infrastructure, Policy, and Environmental Dimensions\"** 30. **\"Towards Zero-Emission Urban Transport: Solar-Electric Vehicles and the Fut","url":"https://doi.org/10.5281/zenodo.21719729","authors":["geruganti, sudhakar"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.21719729","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:56.014Z"},{"id":"doi:10.82308/23018","name":"Multi-agent Deep Reinforcement Learning for Public Transport Vehicle Fleet Control","source":"datacite","abstract":"Les transports en commun sont essentiels pour la mobilité urbaine et la réduction des embouteillages et de la pollution de l'air. Cependant, les défis opérationnels tels que la demande déséquilibrée et les interruptions affectent souvent l'efficacité de ces systèmes. Pour répondre à ces défis, les chercheurs ont exploré l'apprentissage par renforcement multi-agents (MARL) comme une méthode prometteuse pour améliorer le contrôle des flottes de bus. Le MARL offre des avantages tels que l'apprentissage en ligne, la considération à long terme et le contrôle coopératif, mais sa conception nécessite une efficacité, une robustesse et une transférabilité accrues.Cette thèse vise à développer un cadre de contrôle MARL pour le transport en commun qui priorise le contrôle des temps d'attente des bus. Elle comprend quatre contributions originales publiées ou en cours de révision.La première contribution est un cadre MARL coopératif pour le contrôle des temps d'attente des bus qui considère l'ensemble du système de transport en commun. Ce cadre utilise l'apprentissage par renforcement et la coordination adaptée pour optimiser le maintien du bus et les informations globales. Nous avons validé notre approche sur un simulateur de transport en commun réel.La deuxième contribution est un cadre MARL asynchrone pour le maintien du bus efficace et transférable. Nous utilisons les réseaux de graphes neuronaux (GNN) et abordons le problème de l'attribution des crédits en tenant compte des événements incertains. Notre modèle peut être utilisé sur des lignes de bus invisibles avec un nombre variable d'agents.La troisième contribution est l'introduction de MARL distributionnelle pour améliorer la robustesse du contrôle de bus face aux demandes de transport et à l'état du trafic incertains. Nous avons conçu un cadre basé sur le méta-apprentissage pour adapter le RL distributionnel à l'apprentissage de politiques de contrôle multi-agents. Nous avons évalué les performances de notre cadre proposé sur quatre itinéraires de bus réels.Enfin, la quatrième contribution est l'utilisation de MARL multi-objectifs pour des scénarios multi-lignes avec un corridor partagé. Nous avons introduit un module d'apprentissage des préférences pour que les agents apprennent plus efficacement la politique de contrôle. Nous avons validé notre approche sur des données de lignes de bus du monde réel.Dans l'ensemble, cette thèse contribue au développement de cadres de contrôle de transit intelligents avec une meilleure généralisabilité, une meilleure robustesse et une meilleure intelligence. Ces cadres pourraient révolutionner la façon dont nous concevons et gérons les systèmes de transport en commun","url":"https://doi.org/10.82308/23018","authors":["Wang, Jiawei"],"tags":["Civil Engineering"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2023","doi":"10.82308/23018","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:56.014Z"},{"id":"doi:10.34657/30685","name":"KONKAV - Verbundprojekt: Kosteneffiziente und nachhaltige Produktion von UAM und Kabinenmodulen – Material- und Prozessentwicklung für eine ultraleichte Bauweise mit teilkonsolidierten Vliesstoffen : Fördervorhaben im Rahmen des Luftfahrforschungsprogramms des Bundes (LuFo) : Bundesministeriums für Wirtschaft und Klimaschutz (BMWK) - FuE-Kooperationsprojekte","source":"datacite","abstract":"Projekt KonKav – Ultraleichte und nachhaltige Kabinen- und Strukturmodule für die zivile Luftfahrt Das Verbundprojekt KonKav (2022–2025) wird im Rahmen des Luftfahrtforschungsprogramms LuFo VI-2 vom Bundesministerium für Wirtschaft und Energie (BMWi) gefördert und von Institut für Strukturmechanik und Leichtbau (SLA), Institut für Textiltechnik Augsburg gGmbH (ITA) und Diehl Aviation Laupheim GmbH bearbeitet. Ziel ist die Entwicklung kosteneffizienter und nachhaltiger ultraleichter Kabinen- und Strukturmodule für die zivile Luftfahrt sowie Urban Air Mobility (UAM). Im Fokus stehen teilkonsolidierte Vliesstoffe auf Basis recycelter Carbonfasern (rCF) kombiniert mit thermoplastischen Matrixfasern. Diese Halbzeuge sollen drapierbar sein, kurze Prozesszeiten ermöglichen und ein anpassbares Eigenschaftsprofil aufweisen, um neue konstruktive Freiheitsgrade für Kabinenbauteile zu schaffen. Gleichzeitig wird die Ressourceneffizienz erhöht und die Kreislaufwirtschaft in der Luftfahrt adressiert.","url":"https://doi.org/10.34657/30685","authors":["Klemm, Christoph","Auenhammer , Benedikt","Teichmann, Felix","Cetin , Mesut"],"tags":["600 | Technik","Leichtbau","Nachhaltigkeit","Ressourceneffizienz","Kreislaufwirtschaft","Teilkonsolidierte textile Halbzeuge","Rezyklierte Carbonfasern (rCF)","Thermoplastische Matrixsysteme"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.34657/30685","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:52.013Z"},{"id":"doi:10.82308/21358","name":"Investigating population exposure to traffic-related nitrogen oxides through the development and validation of air pollution surfaces","source":"datacite","abstract":"Le transport joue un rôle crucial dans le développement urbain en fournissant un accès à l'éducation, les marchés, l'emploi, les loisirs, les soins de santé et d'autres services essentiels. Au Canada, le transport représente 19% des oxydes d'azote (NOx) et à Montréal, la deuxième plus grande ville du Canada, le transport représente 85% des émissions de NOx. Les concentrations de NOx sont souvent utilisées comme indicateur des émissions de la circulation routière et le NOx est toujours plus élevé à proximité des voies de circulation. L'exposition à la pollution de l'air liée à la circulation a été associée à divers effets aigus et chroniques respiratoires et cardiovasculaires et un certain nombre d'études ont établi des associations positives entre les divers cancers et l'exposition à NO2. La plupart de ces évaluations se sont appuyées sur des mesures plutôt que de la modélisation. Certes, les mesures seules ne peuvent pas être suffisantes pour l'analyse de l'exposition dans un environnement urbain. En conséquence, il y a un besoin d'outils d'analyse et des modèles qui peuvent aider les décideurs à évaluer les impacts des politiques de transport sur la qualité de l'air urbain et l'exposition de la population.Cette recherche commence par l'élaboration et la validation d'un système intégré de modélisation des émissions de transport et de la dispersion atmosphérique dans le but d'être finalement utilisé comme un outil pour évaluer les impacts potentiels sur la qualité de l'air de routes dans la région métropolitaine de Montréal. Nous avons observé que les concentrations simulées sont raisonnablement corrélées avec les données observées lorsque les caractéristiques météorologiques et de dispersion détaillées sont prises en compte.La deuxième partie de cette recherche explore la possibilité d'utiliser le modèle d'émission de transport, un composant du système de modélisation intégré, en tant que proxy pour un modèle de régression de l'utilisation des terres couramment utilisé dans les études épidémiologiques. Dans la troisième partie de la recherche, puisque les trajets, les modes d'utilisation des terres, et la répartition de la circulation conduisent souvent à des inégalités dans l'exposition aux polluants atmosphériques liés aux véhicules, nous avons étudié l'inégalité dans les émissions et l'exposition à la pollution de l'air. A cet effet, des cartes de NO2 sont utilisées pour trouver les concentrations moyennes journalières à l'emplacement de la maison (statique), puis par rapport aux cartes de NO2 (dynamiques) obtenues à partir du modèle intégré. Nous avons également estimé l'exposition au cours des trajets pour identifier la contribution des déplacements à l'exposition quotidienne. Le but de cette étude est de comprendre comment le choix modal, les trajets, et les lieux d'activités des individus influent leur exposition à la pollution de l'air liée à la circulation. En outre, l'analyse au niveau individuel nous a permis d'identifier les personnes qui réduisent et celles qui augmentent leur exposition au cours de leurs trajets et les activités quotidiennes en comparant à la qualité de l'air à leur emplacement d'origine. Nos résultats de cette étude indiquent que l'utilisation d'un modèle de dispersion pour l'évaluation de l'exposition individuelle offre la possibilité pour une analyse détaillée, dynamique de l'exposition à la pollution de l'air.Finalement, dans la dernière partie de cette recherche, un cadre unique a été développé qui prend en charge les décideurs en fournissant des informations sur les états actuels et futurs de la pollution atmosphérique en fonction de scénarios de transport. A cet effet, l'année 2008 a été choisie comme année de référence avec un horizon futur de 2031. Par la suite, le système de modélisation intégrée a été utilisé pour évaluer l'impact d'une vaste stratégie régionale d'amélioration de transport en commun, révélant des réductions des concentrations de NO2 sur l'ensemble du territoire.","url":"https://doi.org/10.82308/21358","authors":["Shekarrizfard, Maryam"],"tags":["Civil Engineering and Applied Mechanics"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2016","doi":"10.82308/21358","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:43.695Z"},{"id":"doi:10.82308/27108","name":"Comparative Study of South Korea’s Drone Law: Measures to Achieve Viable Urban Air Mobility","source":"datacite","abstract":"Drone laws are an emerging field of law that requires fresh application of existing legal systems. The need is especially urgent in South Korea where the field is rapidly developing while the legal systems are lagging behind. Hence, this thesis examines major legal issues concerning drone laws in South Korea and presents some suggestions for moving forward. To that end, first, this thesis covers international legal instruments. It examines what international laws regulate drones and their operation under the current legal regime, what efforts International Civil Aviation Organization (ICAO) has made to regulate drones, what regulations have been created as a result of such efforts and what the main features of those regulations are.Plus, the study of domestic laws of advanced aviation states such as the United States and European Union are followed. What laws regulate drone in the US and EU, what the main contents and characteristics of drone laws are, what legal problems they have, and what parts can be referred to for the improvement of Korean laws are reviewed. Then, this thesis examines Korean drone laws in earnest. What laws regulate drone in current South Korea’s legal regime, what the role and problem of special drone act, ‘Act On Promotion Of Utilization Of Drones And Creation Of Infrastructure Therefor’ is, and what should be done to solve the problem and move forward are covered. In addition, By doing so, this thesis reviews whether the current status of drone laws in Korea is appropriate to achieve and be applied to urban air mobility (“UAM”), which is an air transport system in a metropolitan city that utilizes vertical air vehicles. Based on the roadblocks to the application of UAM, this thesis uncovers the reasons behind the problems and proposes solutions for the application of drones to achieve UAM","url":"https://doi.org/10.82308/27108","authors":["Kang, Seokdae"],"tags":["Air and Space Law"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2023","doi":"10.82308/27108","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:43.695Z"},{"id":"doi:10.82308/9396","name":"Incorporating issues of social justice and equity into transportation planning and policy","source":"datacite","abstract":"La planification des transports au 20e siècle a été principalement fondée sur l'objectif de la mobilité : les systèmes de transport ont été vus avant tout comme un moyen sécuritaire, rapide et efficace de mettre en réseau des personnes et de transporter des marchandises. Cependant, au fil du siècle, les mouvements culturels, sociétaux et écologiques ont peu à peu changé la façon dont les planificateurs perçoivent le transport en général et le transport en commun spécifiquement. Plusieurs préoccupations se chevauchant ont profondément modifié le rôle que les urbanistes et les élus attribuent au transport et à l'aménagement du territoire. La dégradation de l'environnement, la pollution atmosphérique, la congestion routière, l'avenir énergétique, et les changements climatiques, ont radicalement redéfini les priorités du transport. Ces préoccupations ont conduit à un intérêt croissant pour le transport en commun et pour le transport actif, la marche et le vélo, apparaissant de plus en plus comme des solutions potentielles aux problèmes environnementaux.Cependant, en dehors de ces préoccupations environnementales, des questions importantes se posent en matière de redistribution et de justice sociale. Les nouvelles infrastructures de transport offrent des avantages évidents tels que l'accès facilité a une destination voulue, la stimulation du développement économique ou la réduction des temps de déplacement. En outre, bien que diverses valeurs et idéaux sous-tendent une politique, ceux-ci peuvent influencer de manière contradictoire les décisions prises en matière de planification des . Cependant, de nombreux objectifs ayant trait aux questions d'équité sociale sont «intangibles» en matière de résultats quantifiables. Cela les rend difficiles à présenter à la population, ce qui conduit à des décisions aux gains potentiels plus grands en terme de capital politique que ne le sont des objectifs de progrès social difficilement mesurables.À la lumière de ces préoccupations, cette thèse vise à répondre à quatre questions de recherche: •Comment les municipalités et les organismes de planification du transport équilibrent le traitement des objectifs économiques, sociaux et environnementaux dans les plans de transport?•Comment ces décisions influencent les résultats, en particulier en ce qui concerne l'équité sociale?•Comment les méthodes de mesure actuelles, la compréhension du transport actif et le potentiel piétonnier d'un quartier peuvent être améliorés afin de mieux en saisir les des objectifs généraux?•Comment ces résultats seront utilisés à l'avenir pour améliorer la prise de décision? Cette thèse met en évidence l'importance d'adopter des méthodes multidimensionnelles et des approches mixtes lors de l'examen des questions complexes et des processus urbains ; elle contribue à l'enrichissement de la connaissance de trois façons:•Par l'identification d'un ensemble d'indicateurs qui rendent compte des facteurs d'équité sociale dans la planification des transports et dans la prise de décision;•Par l'élaboration des méthodes permettant d'évaluer une infrastructure de transport en utilisant des mesures d'accessibilité qui se concentrent sur les destinations souhaitées par les résidents;•Par une meilleure compréhension de la façon dont les gens et les ménages de différentes catégories socio-économiques «répondent» à des paramètres d'accessibilité locale et régionale. Alors que la plupart, sinon toutes les études ne font qu'utiliser les facteurs socio-économiques, mon travail se concentre directement sur ces facteurs, avec pour objectif principal de les mettre au premier plan.Ce faisant, cette recherche participe à une prise de conscience de l'importance des objectifs d'équité sociale reliés au transport et souligne le rôle que ces objectifs peuvent jouer dans les processus décisionnels.","url":"https://doi.org/10.82308/9396","authors":["Manaugh, Kevin"],"tags":["Social Sciences - Urban and Regional Planning"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2013","doi":"10.82308/9396","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:43.695Z"},{"id":"doi:10.5281/zenodo.21681972","name":"BUILDING A SUSTAINABLE FUTURE BY DEVELOPING THE CONCEPT OF DOUBLE DIAMOND IN TRIPLE DIAMOND, A NEW CONCEPT IN CREATING A NUDGE TOWARDS PRO-ELECTRIFICATION BEHAVIOR IN URBAN FREIGHT TRANSPORT","source":"datacite","abstract":"In the present economic setting, road freight transportation accounts for 77% of the total products moved by land inside the European Union. However, it is undeniable that, from a certain perspective Historically, vehicles were detrimental to the environment. The freight transport sector accounts for one-fourth of greenhouse gas emissions from road transport and roughly 6% of overall greenhouse gas emissions in Europe. Consequently, the vehicle electrical industry is poised for growth in Europe in the future. Electrification is a growing trend driven by the necessity to reduce carbon emissions, enhance air quality, and ensure compliance. Regulations governing urban emissions are stringent. These policies are contextualized within the European Union's target of achieving \"a reduction of at least 55% of greenhouse gas emissions by 2030 and climate neutrality by 2050,\" as outlined in the European Green Deal. The Truck E-mobility concept in urban agglomerations pertains to the use of electric vehicles, both high and small tonnage, for freight transportation in urban settings. This movement is driven by the necessity to mitigate pollution, enhance logistical efficiency, and comply with stringent regulations in densely populated urban areas .To promote sustainable development, we propose the saddle transformer within the framework of a novel Diamond idea based on the Double Diamond model. The first offers a strategic design framework applicable to innovation processes and issue-solving. The Triple Diamond is a novel idea that effectively provides a strategic framework for implementing solutions in problem resolution.","url":"https://doi.org/10.5281/zenodo.21681972","authors":["Irina CALOTĂ","Alexandra PERJU-MITRAN","Augustin SEMENESCU"],"tags":["sustainable transport","green economy","truck e -mobility","double diamond","triple diamond","nudging"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.21681972","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:43.695Z"},{"id":"doi:10.5281/zenodo.21681973","name":"BUILDING A SUSTAINABLE FUTURE BY DEVELOPING THE CONCEPT OF DOUBLE DIAMOND IN TRIPLE DIAMOND, A NEW CONCEPT IN CREATING A NUDGE TOWARDS PRO-ELECTRIFICATION BEHAVIOR IN URBAN FREIGHT TRANSPORT","source":"datacite","abstract":"In the present economic setting, road freight transportation accounts for 77% of the total products moved by land inside the European Union. However, it is undeniable that, from a certain perspective Historically, vehicles were detrimental to the environment. The freight transport sector accounts for one-fourth of greenhouse gas emissions from road transport and roughly 6% of overall greenhouse gas emissions in Europe. Consequently, the vehicle electrical industry is poised for growth in Europe in the future. Electrification is a growing trend driven by the necessity to reduce carbon emissions, enhance air quality, and ensure compliance. Regulations governing urban emissions are stringent. These policies are contextualized within the European Union's target of achieving \"a reduction of at least 55% of greenhouse gas emissions by 2030 and climate neutrality by 2050,\" as outlined in the European Green Deal. The Truck E-mobility concept in urban agglomerations pertains to the use of electric vehicles, both high and small tonnage, for freight transportation in urban settings. This movement is driven by the necessity to mitigate pollution, enhance logistical efficiency, and comply with stringent regulations in densely populated urban areas .To promote sustainable development, we propose the saddle transformer within the framework of a novel Diamond idea based on the Double Diamond model. The first offers a strategic design framework applicable to innovation processes and issue-solving. The Triple Diamond is a novel idea that effectively provides a strategic framework for implementing solutions in problem resolution.","url":"https://doi.org/10.5281/zenodo.21681973","authors":["Irina CALOTĂ","Alexandra PERJU-MITRAN","Augustin SEMENESCU"],"tags":["sustainable transport","green economy","truck e -mobility","double diamond","triple diamond","nudging"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.21681973","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:43.695Z"},{"id":"doi:10.5281/zenodo.21678409","name":"BUILDING A SUSTAINABLE FUTURE BY DEVELOPING THE CONCEPT OF DOUBLE DIAMOND IN TRIPLE DIAMOND, A NEW CONCEPT IN CREATING A NUDGE TOWARDS PRO-ELECTRIFICATION BEHAVIOR IN URBAN FREIGHT TRANSPORT","source":"datacite","abstract":"In the present economic setting, road freight transportation accounts for 77% of the total products moved by land inside the European Union. However, it is undeniable that, from a certain perspective Historically, vehicles were detrimental to the environment. The freight transport sector accounts for one-fourth of greenhouse gas emissions from road transport and roughly 6% of overall greenhouse gas emissions in Europe. Consequently, the vehicle electrical industry is poised for growth in Europe in the future. Electrification is a growing trend driven by the necessity to reduce carbon emissions, enhance air quality, and ensure compliance. Regulations governing urban emissions are stringent. These policies are contextualized within the European Union's target of achieving \"a reduction of at least 55% of greenhouse gas emissions by 2030 and climate neutrality by 2050,\" as outlined in the European Green Deal. The Truck E-mobility concept in urban agglomerations pertains to the use of electric vehicles, both high and small tonnage, for freight transportation in urban settings. This movement is driven by the necessity to mitigate pollution, enhance logistical efficiency, and comply with stringent regulations in densely populated urban areas .To promote sustainable development, we propose the saddle transformer within the framework of a novel Diamond idea based on the Double Diamond model. The first offers a strategic design framework applicable to innovation processes and issue-solving. The Triple Diamond is a novel idea that effectively provides a strategic framework for implementing solutions in problem resolution.","url":"https://doi.org/10.5281/zenodo.21678409","authors":["Irina CALOTĂ","Alexandra PERJU-MITRAN","Augustin SEMENESCU"],"tags":["sustainabletransport","greeneconomy","trucke-mobility","doublediamond","triplediamond","nudging"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.21678409","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:43.695Z"},{"id":"doi:10.5281/zenodo.15710758","name":"Smart Urban Transit Systems: A Pillar for Sustainable City Planning in Smart Cities","source":"datacite","abstract":"The accelerated urbanization of the 21st century demands innovative and sustainable approaches to managing mobility within smart cities. This research paper, \"Smart Urban Transit Systems: A Pillar for Sustainable City Planning in Smart Cities,\" explores the pivotal role of intelligent transit systems in advancing sustainable urban development. As cities expand, challenges like traffic congestion, air pollution, and inefficiencies in public transportation intensify, necessitating transformative solutions. Smart urban transit systems harness the power of advanced technologies such as artificial intelligence (AI), the Internet of Things (IoT), and big data analytics to tackle these pressing issues. By integrating these technologies, cities can optimize traffic flow, reduce environmental impact, and enhance the efficiency and accessibility of public transportation networks. AI-driven insights enable predictive maintenance and dynamic route adjustments, while IoT-connected infrastructure facilitates seamless communication between vehicles and traffic systems. Additionally, big data analytics provides real-time insights into commuter behavior, enabling data-driven decision-making for urban planners. This paper underscores the importance of smart transit systems as a cornerstone of sustainable city planning, emphasizing their capacity to create scalable, eco-friendly solutions. By addressing key urban challenges, intelligent transit systems pave the way for smarter, more sustainable cities that prioritize mobility, environmental conservation, and quality of life.","url":"https://doi.org/10.5281/zenodo.15710758","authors":["Desai, Ms.Rachna"],"tags":[": Smart Cities, Sustainable Development, Artificial Intelligence (AI), Traffic Congestion, Intelligent Transit Systems"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.15710758","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:43.695Z"},{"id":"doi:10.48550/arxiv.2607.23989","name":"Co-planning of Flight Corridors and Communication Infrastructure for Urban Drone Logistics Networks","source":"datacite","abstract":"Reliable wireless connectivity is essential for urban air mobility (UAM) networks in dense urban environments. It is therefore imperative to carefully plan the supporting communication infrastructure for UAM flight corridors. Most existing works optimize communication infrastructure and UAV flight paths independently, often leading to unnecessary base station (BS) deployment or excessive flight detours. This paper studies the joint optimization of BS deployment and UAV flight corridors in complex urban environments, aiming to minimize both infrastructure investment and flight distance while satisfying communication quality constraints. We propose CR-CMAB, a channel reciprocity-guided combinatorial multi-armed bandit framework. The framework constructs high-fidelity radio maps using 3D ray tracing, selects BS combinations via coverage-aware CMAB search, and dynamically expands the search space by identifying promising BS locations through channel reciprocity. Experimental results from a detailed case study demonstrate that CR-CMAB outperforms baseline methods with moderate computational time, yielding more strategically positioned BSs and shorter flight corridors. This study offers a practical planning perspective for cost-effective and communication-reliable UAM deployment in future smart cities.","url":"https://doi.org/10.48550/arxiv.2607.23989","authors":["He, Yingjie","Wang, Yikang","Gao, Zhenyu"],"tags":["Robotics (cs.RO)","Networking and Internet Architecture (cs.NI)","FOS: Computer and information sciences"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.48550/arxiv.2607.23989","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:43.695Z"},{"id":"doi:10.48550/arxiv.2607.21197","name":"Declarative Problem Solving in UAM Strategic Deconfliction","source":"datacite","abstract":"The growing demand for Urban Air Mobility (UAM) introduces significant challenges in airspace management, particularly within densely populated metropolitan regions. As the number of aerial vehicles-such as drones, air taxis, and helicopters-continues to rise, so does the risk of mid-air collisions and conflicts with existing air traffic and obstacles. Ensuring safe and efficient UAM operations requires robust strategic deconfliction mechanisms. We propose an Answer Set Programming (ASP) based approach for strategic deconfliction, focusing on time synchronization and route optimization for conflict-free flight plans. The solution is benchmarked against Constraint Programming (CP), emphasizing scalability and resource use. Results show that ASP offers faster execution and better scalability for small to medium cases, while CP maintains stable memory but degrades with complexity.","url":"https://doi.org/10.48550/arxiv.2607.21197","authors":["Sterlicchio, Gioacchino","Oddi, Angelo","Rasconi, Riccardo","Lisi, Francesca Alessandra"],"tags":["Logic in Computer Science (cs.LO)","Artificial Intelligence (cs.AI)","FOS: Computer and information sciences"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.48550/arxiv.2607.21197","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:50.721Z"},{"id":"doi:10.5281/zenodo.21512523","name":"Prim-Lex Theory and Low-Altitude Economy Governance: Eight-Dimensional Spatial Order from Drones to Urban Air Mobility","source":"datacite","abstract":"到2026年,低空经济已成为全球新兴产业竞争的新途径。据中国民用航空局预测,2025年中国低空经济市场规模将达到1.5万亿元人民币,预计2026年将突破2万亿元人民币,届时将有近2万家无人机运营企业,电动垂直起降飞行器(eVTOL)订单额将超过300亿元人民币。无人机物流、城市空中交通、低空旅游等应用场景正在快速扩展,但空域管理、噪声控制、安全监管和隐私保护等方面的治理框架却明显滞后。作者曾任北京军区空军某航空师指挥部职务,负责空中交通管制,对空域管理的军事逻辑和安全边界有着深刻的理解。本文基于Prim-Lex理论的八维框架,首次将低空经济治理引入复杂统一场的数学表达式中。本文从“元·元·火”(低空交通能量代谢效率)到“八卦·八信息”(低空交通信息网络熵治理),逐维度构建了低空经济治理的量化评估体系。文章重点运用“六维·六向”模型构建低空空域的六维空间秩序——包括高度层、飞行路线、禁飞区、垂直起降场、噪声区和应急走廊——并运用“七光·七韵”模型协调无人机飞行节奏与城市生活节奏的同步。本文利用三个经验锚点——中国的低空经济试点城市、美国的城市空中交通(UAM)规划和欧洲的U空间框架——提出“低空空间连贯状态”作为评估低空经济治理健康状况的统一标准,为全球低空经济从“试点飞行”向“正常运营”的过渡提供了一种可量化、可编程和可审计的数学语言和治理工具。","url":"https://doi.org/10.5281/zenodo.21512523","authors":["Xiaowang, Shen"],"tags":["Prim-Lex Theory; low-altitude economy; eight-dimensional framework; Six Dimensions·Six Directions; Urban Air Mobility; unmanned aerial vehicles; airspace governance"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.21512523","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:43.695Z"},{"id":"doi:10.5281/zenodo.21512522","name":"Prim-Lex Theory and Low-Altitude Economy Governance: Eight-Dimensional Spatial Order from Drones to Urban Air Mobility","source":"datacite","abstract":"到2026年,低空经济已成为全球新兴产业竞争的新途径。据中国民用航空局预测,2025年中国低空经济市场规模将达到1.5万亿元人民币,预计2026年将突破2万亿元人民币,届时将有近2万家无人机运营企业,电动垂直起降飞行器(eVTOL)订单额将超过300亿元人民币。无人机物流、城市空中交通、低空旅游等应用场景正在快速扩展,但空域管理、噪声控制、安全监管和隐私保护等方面的治理框架却明显滞后。作者曾任北京军区空军某航空师指挥部职务,负责空中交通管制,对空域管理的军事逻辑和安全边界有着深刻的理解。本文基于Prim-Lex理论的八维框架,首次将低空经济治理引入复杂统一场的数学表达式中。本文从“元·元·火”(低空交通能量代谢效率)到“八卦·八信息”(低空交通信息网络熵治理),逐维度构建了低空经济治理的量化评估体系。文章重点运用“六维·六向”模型构建低空空域的六维空间秩序——包括高度层、飞行路线、禁飞区、垂直起降场、噪声区和应急走廊——并运用“七光·七韵”模型协调无人机飞行节奏与城市生活节奏的同步。本文利用三个经验锚点——中国的低空经济试点城市、美国的城市空中交通(UAM)规划和欧洲的U空间框架——提出“低空空间连贯状态”作为评估低空经济治理健康状况的统一标准,为全球低空经济从“试点飞行”向“正常运营”的过渡提供了一种可量化、可编程和可审计的数学语言和治理工具。","url":"https://doi.org/10.5281/zenodo.21512522","authors":["Xiaowang, Shen"],"tags":["Prim-Lex Theory; low-altitude economy; eight-dimensional framework; Six Dimensions·Six Directions; Urban Air Mobility; unmanned aerial vehicles; airspace governance"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.21512522","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:43.695Z"},{"id":"doi:10.5281/zenodo.21510013","name":"UAM-data","source":"datacite","abstract":"This dataset contains 596 de-identified valid cases from a 2 × 2 × 2 between-subjects experiment using an interactive urban air mobility booking app prototype. The files include participant-level analysis data and a corresponding variable codebook. Of 669 completed questionnaires, 73 records that failed the instructed-response attention check were excluded. Direct identifiers, IP addresses, submission timestamps, device information, and participant-level demographic combinations are not included.","url":"https://doi.org/10.5281/zenodo.21510013","authors":["Guo, Yuxin","Wu, Zhuangzhuang","Lim, Jaehoon"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.21510013","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:43.695Z"},{"id":"doi:10.5281/zenodo.21510014","name":"UAM-data","source":"datacite","abstract":"This dataset contains 596 de-identified valid cases from a 2 × 2 × 2 between-subjects experiment using an interactive urban air mobility booking app prototype. The files include participant-level analysis data and a corresponding variable codebook. Of 669 completed questionnaires, 73 records that failed the instructed-response attention check were excluded. Direct identifiers, IP addresses, submission timestamps, device information, and participant-level demographic combinations are not included.","url":"https://doi.org/10.5281/zenodo.21510014","authors":["Guo, Yuxin","Wu, Zhuangzhuang","Lim, Jaehoon"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.21510014","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:43.695Z"},{"id":"doi:10.15480/882.17539","name":"From gridlock to airflow? Understanding the total travel time for advanced air mobility demand at the Hamburg airport","source":"datacite","abstract":"This study examines the potential Advanced Air Mobility (AAM) passenger market in Hamburg, Germany, focusing on airport shuttle services. Therefore, the model uses structured data of the metropolitan area of Hamburg, including population data, status of employment and historical traffic between traffic analysis cells. Based on the structured data of Hamburg, this study implements a four-step model. The modelling of a four-step model allows for investigating the different modes of transport individually. At this point, the AAM alternative consists of an access stage, a main AAM flight and an egress stage. Since passengers decide on travel time and travel cost primarily, the model uses a multinomial logit model to estimate the utility, hence the market share of the considered alternatives. Consequently, the model investigates the impact of travel time for the AAM in detail. As a result, the AAM market reacts to variations of the travel time, which entail AAM operation limitations and capacity requirements for air and ground infrastructure. To evaluate the AAM accessibility of the Hamburg Airport with road traffic, the model compares AAM travel time with the car road traffic. Results show an average AAM time benefit when considering road itineraries that take longer than 43 minutes.","url":"https://doi.org/10.15480/882.17539","authors":["Pertz, Jan","Lütjens, Klaus","Gollnick, Volker"],"tags":["Advanced Air Mobility","airport shuttle","demand","discrete choice model","road traffic","Urban Air Mobility","Technology::629: Other Branches::629.1: Aviation"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.15480/882.17539","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:43.695Z"},{"id":"doi:10.26187/deakin.32353155","name":"Associations between the physical and social urban environment and older adults’ mental health–a scoping review of reviews","source":"datacite","abstract":"BACKGROUND AND OBJECTIVES: As populations age and urbanization accelerates, understanding how urban environments influence older adults' mental health is crucial. Due to declining physical abilities, older adults rely heavily on their surroundings, giving urban environments significant public health potential. RESEARCH DESIGN AND METHODS: This scoping review synthesized empirical evidence on associations between urban environmental characteristics and mental health among older adults. A review of reviews was conducted using six electronic databases, targeting peer-reviewed studies published in English between 2000 and 2024. RESULTS: Out of 16,449 identified articles, 43 met inclusion criteria. Thematic analysis revealed eight overarching topics. Five related to the physical environment: (1) access to and/or availability of functional services and amenities, (2) access to and/or availability of natural and recreational spaces, (3) air and water quality, and noise, (4) mobility and streetscape infrastructure, and (5) aesthetics. Three related to the social environment: (1) civic engagement, (2) neighborhood adversity, and (3) social inclusion and non-discrimination. Key research gaps included a lack of research in underrepresented regions and among older adults from varied socioeconomic backgrounds, as well as inconsistent definitions of 'older adults'. DISCUSSION AND IMPLICATIONS: These findings provide valuable insights for future research, interventions, and urban planning efforts aimed at promoting mental health among older adults.","url":"https://doi.org/10.26187/deakin.32353155","authors":["Noortje Jacobs","Anthony Walsh","Nele Pauwels","Amber Van Puyvelde","Delfien Van Dyck","Jenny Veitch","Megan Teychenne","Jelle Van Cauwenberg","Benedicte Deforche"],"tags":["Human geography","Public health","Health sciences","Clinical sciences","Human society"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.26187/deakin.32353155","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:56.014Z"},{"id":"doi:10.5281/zenodo.21499534","name":"Third-Party Acceptance Factors for Urban Air Mobility","source":"datacite","abstract":"","url":"https://doi.org/10.5281/zenodo.21499534","authors":["Park, Dayeong","Kim, Sang Hyun"],"tags":["Aviation","Air traffic management"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.21499534","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:43.695Z"},{"id":"doi:10.5281/zenodo.21499535","name":"Third-Party Acceptance Factors for Urban Air Mobility","source":"datacite","abstract":"","url":"https://doi.org/10.5281/zenodo.21499535","authors":["Park, Dayeong","Kim, Sang Hyun"],"tags":["Aviation","Air traffic management"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.21499535","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:43.695Z"},{"id":"doi:10.5281/zenodo.21491744","name":"U-AGREE D3.4 Final Air Risk Model","source":"datacite","abstract":"This document represents the U-AGREE deliverable D3.4 and contains the final version of the U-AGREE Air Risk Model. This model tries to be better adjusted to the idiosyncrasy of a U-space environment, its expected scenarios and airspace user types. This means for instance the consideration of the urban air mobility, the collision between different categories of drones, or the effect on these of wildlife strikes.The proposal suggests a way to calculate the probability of encounter and then adds an estimation of the severity in case it happens, and its applicability is illustrated with examples.","url":"https://doi.org/10.5281/zenodo.21491744","authors":["Deutsches Zentrum für Luft- und Raumfahrt e. V. (DLR)"],"tags":["Air Risk Model","U-space","Drone"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.21491744","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:43.695Z"},{"id":"doi:10.5281/zenodo.21491745","name":"U-AGREE D3.4 Final Air Risk Model","source":"datacite","abstract":"This document represents the U-AGREE deliverable D3.4 and contains the final version of the U-AGREE Air Risk Model. This model tries to be better adjusted to the idiosyncrasy of a U-space environment, its expected scenarios and airspace user types. This means for instance the consideration of the urban air mobility, the collision between different categories of drones, or the effect on these of wildlife strikes.The proposal suggests a way to calculate the probability of encounter and then adds an estimation of the severity in case it happens, and its applicability is illustrated with examples.","url":"https://doi.org/10.5281/zenodo.21491745","authors":["Deutsches Zentrum für Luft- und Raumfahrt e. V. (DLR)"],"tags":["Air Risk Model","U-space","Drone"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.21491745","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:43.695Z"},{"id":"doi:10.48550/arxiv.2510.20932","name":"An Experimental Study of Trojan Vulnerabilities in UAV Autonomous Landing","source":"datacite","abstract":"This study investigates the vulnerabilities of autonomous navigation and landing systems in Urban Air Mobility (UAM) vehicles. Specifically, it focuses on Trojan attacks that target deep learning models, such as Convolutional Neural Networks (CNNs). Trojan attacks work by embedding covert triggers within a model's training data. These triggers cause specific failures under certain conditions, while the model continues to perform normally in other situations. We assessed the vulnerability of Urban Autonomous Aerial Vehicles (UAAVs) using the DroNet framework. Our experiments showed a significant drop in accuracy, from 96.4% on clean data to 73.3% on data triggered by Trojan attacks. To conduct this study, we collected a custom dataset and trained models to simulate real-world conditions. We also developed an evaluation framework designed to identify Trojan-infected models. This work demonstrates the potential security risks posed by Trojan attacks and lays the groundwork for future research on enhancing the resilience of UAM systems.","url":"https://doi.org/10.48550/arxiv.2510.20932","authors":["Ahmari, Reza","Mohammadi, Ahmad","Hemmati, Vahid","Mynuddin, Mohammed","Mahmoud, Mahmoud Nabil","Kebria, Parham","Homaifar, Abdollah","Saif, Mehrdad"],"tags":["Cryptography and Security (cs.CR)","Artificial Intelligence (cs.AI)","Computer Vision and Pattern Recognition (cs.CV)","Robotics (cs.RO)","FOS: Computer and information sciences"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.48550/arxiv.2510.20932","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:43.695Z"},{"id":"doi:10.48550/arxiv.2605.25530","name":"Location Prior Generation via Multi-Source Urban Data Fusion for Low-Altitude Air Mobility","source":"datacite","abstract":"Building height, the third dimension (3D) of urban spatial data, is absent in over 95% of structures in global geospatial databases. For the emerging low-altitude economy, this data gap forces each aerial platform to rely on real-time onboard sensing rather than pre-computed 3D scene geometry. We present the Location Prior Generation Framework (LPGF), a multi-source data fusion pipeline that integrates Sentinel-2 imagery, UAV telemetry, vehicle GPS trajectories, and OpenStreetMap footprints into structured, reusable urban location priors. LPGF assigns building heights through a three-tier priority hierarchy: (1) explicit OSM height tags where available, (2) floor count multiplied by 3.2 m per story where recorded, and (3) building-type default heights otherwise, yielding a worst-case error of approximately 5.5 m. An optional shadow-based height estimation module (SHEM) is activated only when a four-criterion quality gate is satisfied; when any criterion fails, the pipeline routes to structured fallback. On the MiTra A50 Milan dataset, the quality gate correctly identified two imaging failure modes: sub-pixel shadows at 10 m GSD and ground shadow merging at 0.93 m GSD, producing a consistent 27-building prior in both cases. Tier 3 type-default heights were validated against manual floor counts (n=15), achieving MAE=3.07 m within the 5.0 m uncertainty bound. The framework demonstrates that structured, quality-gated fusion of universally available data streams can bootstrap 3D scene coverage for low-altitude urban operations.","url":"https://doi.org/10.48550/arxiv.2605.25530","authors":["Xie, Xiang","Liu, Xiaonan"],"tags":["Computer Vision and Pattern Recognition (cs.CV)","FOS: Computer and information sciences"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.48550/arxiv.2605.25530","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:43.695Z"},{"id":"doi:10.48550/arxiv.2607.15690","name":"Obstacle-Aware Four-Dimensional Trajectory Design for Urban Air Mobility","source":"datacite","abstract":"Urban Air Mobility (UAM) with electric Vertical TakeOff and Landing (eVTOL) vehicles can help address ground traffic congestion. The design of an eVTOL trajectory that is safe and reduces travel time is key for UAM adoption. Existing works on trajectory design either may not adequately incorporate dense obstacles in urban environments, complex eVTOL flight dynamics, or one or more flight phases. Not considering these factors can result in low-quality, or worse infeasible, trajectories. We develop a hybrid framework that can integrate building obstacles data, wind data, eVTOL flight dynamics, and other real-world operational constraints to estimate a four-dimensional eVTOL flight trajectory in ascent, cruise, and descent that aims to minimize travel time. Our framework first fills the obstacle-free regions with intersecting convex polygons, then identifies potentially low-travel time candidate sequences of these polygons using a Graph of Convex Sets-based path planner, and then uses an Optimal Control Program to give the final trajectory that passes through the polygons in a sequence identified before. We evaluate our framework on routes within New York City. Our framework can design trajectories respecting the above constraints in the presence of as many as 250 building obstacles. We show that not including the above constraints can underestimate the flight time by as much as 20\\%.","url":"https://doi.org/10.48550/arxiv.2607.15690","authors":["Devkar, Prasad","Chati, Yashovardhan S.","Vasan, Arunchandar"],"tags":["Systems and Control (eess.SY)","FOS: Electrical engineering, electronic engineering, information engineering"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.48550/arxiv.2607.15690","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:43.695Z"},{"id":"doi:10.5281/zenodo.21400746","name":"Riyadh V2G Sovereign Digital Twin: A Physics-Integrated Framework for Municipal-Scale Vehicle-to-Grid Simulation with Cultural Calendar Modeling","source":"datacite","abstract":"The electrification of urban transport at sovereign scale introduces unprecedented stress on aging distribution-grid infrastructure, particularly in hot-climate cities where transformer thermal aging and air-conditioning-driven peak loads compound simultaneously. This paper presents the Riyadh V2G Sovereign Digital Twin, a 1:1-scale, physics-faithful simulation framework modeling the full Riyadh metropolitan grid — approximately 60,000 distribution transformers serving over one million electric vehicles across 14 municipalities — under vehicle-to-grid (V2G) dispatch scenarios. The framework integrates five physically coupled simulation layers: a Swing-Equation-based grid frequency model, an IEEE C57.91-compliant transformer thermal aging engine, a cascading failure propagation model with cold-load recovery dynamics, a three-archetype fleet mobility simulator incorporating Islamic cultural calendar patterns (Ramadan commute suppression, Saudi weekend mapping), and a locational marginal pricing engine with dynamic threshold transitions. All layers execute within a deterministic, vectorized orchestration pipeline guaranteeing bitwise reproducibility. The architecture strictly decouples the physics layer — which computes what is physically possible — from the policy layer — which decides what to do about it — enabling controlled experimentation with V2G dispatch strategies without compromising physical fidelity. This paper describes the system architecture, physics models, fleet mobility engine, infrastructure metering layer, and illustrative scenario results, demonstrating the framework's capability to answer \"what-if\" questions about city-scale V2G deployment before committing infrastructure capital.","url":"https://doi.org/10.5281/zenodo.21400746","authors":["Mohamed Motasim Elhussein, Alwedaa"],"tags":["Vehicle-to-Grid (V2G)","Digital Twin","Distribution Grid Simulation","IEEE C57.91","Cascading Failure","Locational Marginal Pricing","Cultural Calendar","Saudi Arabia Vision 2030"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.21400746","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:43.695Z"},{"id":"doi:10.5075/epfl-thesis-8744","name":"Transport à câble aérien en milieu urbain: pertinence et pratique","source":"datacite","abstract":"The intense urbanization of cities has left few options when it comes to insert large mobility infrastructure they need to move their inhabitants. A surface rail network, a dedicated roadway bus line or any other mobility infrastructure such as a tramway at the urban surface represent challenging interfaces to set up, particularly because of level crossings and physical barriers that they induce in the urban space. To avoid this occupation of the surface and the resulting urban scars, a lot has already been invested in the underground. Whilst, the airspace is still very little exploited by urban transport systems. In order to deepen knowledge in this area, the research theme focused on the urban ropeways, a cable air transport system, which several innovative examples can be found in Latin America. Relevant for whom? The research conducted is divided into two stages. As a first step, a sociological analysis made it possible to determine how urban ropeways are relevant for users and represent an interesting alternative to other means of public transportation. This analysis is based on a survey among users of ten public transportation lines in Switzerland and Brazil. Relevance where? In a latter phase, the analysis concerns the project of urban ropeways in the urbanized areas. This transportation system can be considered as a complex project because of its constructive characteristics, at the territorial big scale. A sequence of large mobility interfaces projected along the ropeway path transforms connectivity, density, and public space. These different architectural objects of mixed use are connected in minutes by the cable and their strong presence in the urban landscape raises questions of relevance. Spread in the Rio de Janeiro, Lake Geneva and New York metropolis, ten cable routes are studied, taking into account the temporality of project progress and the degree of urbanization of the target territory. This evaluation of the project practice aims to determine the extent to which urban ropeways is likely to be developed in European territory, Swiss in this instance. At the end of these analysis, the thesis makes it possible to conclude that urban ropeways have their relevance in European cities, but under fairly specific conditions.","url":"https://doi.org/10.5075/epfl-thesis-8744","authors":["De Oliveira Simas, Fernando Anisio"],"tags":["Urban ropeway","urban gondola","Cable car","public transportation","comparative analysis","urban sociology","urban architecture","research by project"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2019","doi":"10.5075/epfl-thesis-8744","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:43.695Z"},{"id":"doi:10.5281/zenodo.19359745","name":"Mechs","source":"datacite","abstract":"Warfighter ZxR — Full Design Summary Platform Overview A 10–14 tonne armless bipedal battle mech. Weapons are chassis-integrated rather than hand-held, keeping the silhouette compact and the armour continuous. The design prioritises internal volume for power and compute systems, with agility achieved through advanced materials and AI-coordinated actuation rather than light weight alone. Structure & Armour The cockpit is a steel roll-cage encased in carbon-polymer composite with a copper interlayer, housing laminated ballistic glazing in faceted panels with diamond/ceramic edge inserts. An inner ballistic-fibre and foam cocoon catches fragments and softens secondary impacts. The torso is a carbon-fibre monocoque reinforced with graphene rods. Leg and joint armour uses overlapping shingled panels of steel-face plus carbon-polymer core with copper grounding interlayers, following the same stack logic as the cockpit. Hydro-elastic ringlets — fluid-filled toroidal chambers with carbon-fibre/copper-mesh walls — sit at every major joint, providing impact absorption, rebound elasticity, and vibration damping. They operate in variable-fill mode: fully charged for combat, partially drained to 40% for leaps and sprints to reduce carried mass. Skeleton & Actuation Limb bones are hollow magnesium cores with titanium collars at joint ends and graphene-epoxy sleeves along mid-shafts, saving roughly 15–20% versus full titanium coating. Carbon-fibre leaf spring arches at ankle and knee replace titanium coil springs, storing comparable elastic energy at about 40% of the mass. Primary actuation uses SMA and EAP muscle bundles for sustained load-bearing and fine control, supported by torque amplifier nodes at knees and ankles and micro-polymer joint fill for compliance and friction reduction. Leap pistons sit in parallel with the SMA bundles at hip and knee: composite-wall hydraulic cylinders (80mm bore, 300–350 bar, carbon-fibre wound over steel liner) fed from 8-litre nitrogen-bladder accumulators in the upper thigh bays. Each piston delivers approximately 110 kN, giving the mech leaps of roughly 3–5 metres vertical. The accumulators recharge in 15–20 seconds from the 48V spine. Flowzone pre-drains the ringlets before a commanded leap and recharges them before landing using LiDAR height data. Performance: running at 15–20 m/s, top speed reached in under 3 seconds. Power System The mech runs a 48V spine with multiple OR-tied sources, distributed LC energy-regulation coils along the trunk, and strict separation of high-current burst tubes from low-voltage data and cryo tubes. Sources: Engine 1 — micro-Rankine boiler: ~1.5 kW continuous, hotel loads and slow recharge Engine 2 — main mover: ~100 kW continuous, ~90 kW spare after hotel loads Engine 3 — flight turbine: 1.5 MW continuous, 2.5 MW overboost for under 10 seconds, mechanical thrust primary with auxiliary 48V back-feed via SiC converters Honey-B reactor: 48V LiFePO₄ pack (40–60 Ah, ~8 MJ) plus 400–800F supercaps, deep energy storage Dual torso Bladebreak banks: two 48V 1,000–1,600F capacitor racks (~1.6 MJ each), role-separated — A for weapons, B for mobility, shields, and flight bursts Micro Honey-B nodes: ~2 kW continuous each, located in thighs, knees, feet, arms, and chest — local 48V power islands keeping joints, fins, and sensors alive under spine damage Arm segment buffers: 48V, 300F (~0.35 MJ each) distributed across shoulder junction, upper arm, and bracer — supply arm-local burst loads only; full weapon fire still draws from torso Bladebreak-A Total burst capacity: approximately 6.4 MJ across all banks. Weapons All fire is gated through Frostline OS with CAN-based fire control and strict isolation between weapon and mobility banks. Primary shoulder railgun: 0.5 kg tungsten sabot at ~1,800 m/s, 0.8 MJ kinetic, draws ~1.6 MJ electrical from Bladebreak-A. One shot every ~20 seconds with the 100 kW engine. Effective to ~5 km against hard targets. Secondary coilgun: 0.1 kg slug at ~2,","url":"https://doi.org/10.5281/zenodo.19359745","authors":["lee, francis"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.19359745","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:43.695Z"},{"id":"doi:10.26192/q31x9","name":"The application of variable speed limits to arterial roads for improved traffic flow","source":"datacite","abstract":"Traffic congestion problems continue to increase in large cities due to rapidly increasing travel demand and a lack of transport infrastructure. Congestion causes mobility and efficiency loss, safety reduction, increased fuel consumption and excessive air pollution. A number of traffic management strategies have been proposed and some are applied in cities, such as diverting traffic from peak periods to off-peak periods using congestion pricing, reduced speed limits, coordinated traffic signals along major arterial roads, or adding additional lanes where network expansion is feasible. Among the many solutions to traffic congestion, operational treatments for existing road networks provide more cost efficient traffic operation due to their relatively low cost. This research looks to improve efficiency through the application of Variable Speed Limits (VSLs). While VSLs have been used to improve traffic conditions on congested motorways in terms of mobility, safety and travel time, they are largely untested on signalized urban arterial roads. Griffith Arterial Road (GAR) U20 was selected as the case study for the research. GAR is part of the Brisbane Urban Corridor (BUC), and is approximately 11.5 km long and lies between the Gateway Motorway and the Ipswich Motorway. The average daily traffic volume (ADT) is between 18,000 vehicles to 24,000 vehicles. The number of lanes at approaches to signalised intersection varies from 1 to 4. In the context of this research, the study used STREAMS data and real world data collected using six high definition (HD) video cameras to develop a VISSIM model and to discern the effectiveness of applying VSL control. VISSIM is a time step and a psycho-physical car following model developed to model urban traffic and public transit operations. The VISSIM model was extensively calibrated and validated with the empirical data collected regarding measure of effectiveness such as traffic volumes, volume distribution, and saturated headway along the west bound (WB) and eastbound (EB) directions. The simulated model allowed the testing of different control strategies for VSL and Integrated Traffic Control System (ITCS) under different scenarios and circumstances. It helped to contrast the traffic flow parameters of invariant (no controlled speed) and VSL (controlled speed) conditions. Multiple simulation runs were considered in the calibration and evaluation process. The measures of effectiveness used to characterise the operational quality of signalized intersections were delay, queue length, and number of stops. In addition, flow, speed and density parameters were used to characterise the changes in traffic performance for the arterial road. This thesis investigates the application of VSLs for control of upstream traffic as a proposed traffic control strategy on the GAR. The objective was to investigate how dynamic VSL and signal control systems could be used in an integrated approach to traffic management to improve the traffic efficiency, safety, and mobility of a congested urban arterial road. The research indicates that the application of VSL could improve the traffic performance and safety during the peak period. It helped to maintain a planned continuous flow through coordinated intersections to avoid congestion. Integrating VSL with other traffic congestion management (changing the signal timings for the congested traffic) appeared effective in improving traffic conditions and reducing total travel time on the GAR. The research highlighted some important elements that could be used for the design and implementation of VSL systems using intelligent transport systems.","url":"https://doi.org/10.26192/q31x9","authors":["Al-Nuaimi, Hamdi Abdulkareem Mohammed"],"tags":["traffic control; traffic congestion; variable speed limits; urban arterial road; traffic flow"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2014","doi":"10.26192/q31x9","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:43.695Z"},{"id":"doi:10.5281/zenodo.21328317","name":"Intent-Based Automotive Control Interface for VTOL Flying Cars: The Copter Paradigm — A Defensive Publication (Prior Art)","source":"datacite","abstract":"Description The Copter Paradigm: Translating Automotive Reflexes into Three-Dimensional Flight presents a conceptual architecture for intuitive human-machine interaction in personal Vertical Takeoff and Landing (VTOL) transportation. Rather than introducing a specific mechanical invention, this publication proposes an Intent-Based Control (IBC) philosophy in which the operator expresses only the desired motion of the vehicle using familiar automotive controls, while the onboard flight-control system autonomously performs the complex aerodynamic and propulsion tasks required for safe three-dimensional flight. The document describes one possible reference implementation of this concept, including control logic, mode transitions, steering architecture, safety mechanisms, and emergency procedures. However, the principles disclosed are intentionally independent of any particular mechanical, electronic, or software implementation. This work is published as a defensive publication (prior art) and dedicated to the public domain. Its purpose is to establish the architectural principles of the Copter Paradigm in the public record, encourage open innovation, and prevent future monopolization of these concepts through exclusive patent claims.","url":"https://doi.org/10.5281/zenodo.21328317","authors":["Vasyliev, Roman"],"tags":["VTOL","eVTOL","flying car","human-machine interface","HMI","flight control","intent-based control","automotive interface"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.21328317","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:43.695Z"},{"id":"doi:10.5281/zenodo.21328318","name":"Intent-Based Automotive Control Interface for VTOL Flying Cars: The Copter Paradigm — A Defensive Publication (Prior Art)","source":"datacite","abstract":"Description The Copter Paradigm: Translating Automotive Reflexes into Three-Dimensional Flight presents a conceptual architecture for intuitive human-machine interaction in personal Vertical Takeoff and Landing (VTOL) transportation. Rather than introducing a specific mechanical invention, this publication proposes an Intent-Based Control (IBC) philosophy in which the operator expresses only the desired motion of the vehicle using familiar automotive controls, while the onboard flight-control system autonomously performs the complex aerodynamic and propulsion tasks required for safe three-dimensional flight. The document describes one possible reference implementation of this concept, including control logic, mode transitions, steering architecture, safety mechanisms, and emergency procedures. However, the principles disclosed are intentionally independent of any particular mechanical, electronic, or software implementation. This work is published as a defensive publication (prior art) and dedicated to the public domain. Its purpose is to establish the architectural principles of the Copter Paradigm in the public record, encourage open innovation, and prevent future monopolization of these concepts through exclusive patent claims.","url":"https://doi.org/10.5281/zenodo.21328318","authors":["Vasyliev, Roman"],"tags":["VTOL","eVTOL","flying car","human-machine interface","HMI","flight control","intent-based control","automotive interface"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.21328318","addedAt":"2026-08-31T06:39:43.695Z","updatedAt":"2026-08-31T06:39:43.695Z"},{"id":"doi:10.26190/unsworks/9999","name":"Service network design for emerging modes in air transport: autonomous airport inter-terminal bus shuttle and air metro","source":"datacite","abstract":"Emerging modes of air transport such as autonomous airport shuttle and air taxi are potentially efficient alternatives to current transport practices such as bus and train. This thesis examines bus shuttle service within an airport and air metro as two examples of network design. Within an airport, the bus shuttle serves passengers between the terminals, train stations, parking lots, hotels, and shopping areas. Air metro is a type of pre-planned service in urban air mobility that accommodates passengers for intra- or inter-city trips. The problems are to optimise the service, and the outputs including the optimal fleet size, dispatch pattern and schedule. Based on the proposed time-space networks, the service network design problems are formulated as mixed integer linear programs. The heterogeneous multi-type bus fleet case and stochastic demand case are extended for the airport shuttle case, while a rolling horizon optimisation is adopted for the air metro case. In the autonomous airport inter-terminal bus shuttle case, a Monte Carlo simulation-based approach is proposed to solve the case with demand stochasticity, which is then further embedded into an \"effective\" passenger demand framework. The \"effective\" demand is the summation of mean demand value and a safety margin. By comparing the proposed airport shuttle service to the current one, it is found that the proposed service can save approximately 27% of the total system cost. The results for stochastic problem suggest estimating the safety margin to be 0.3675 times of the standard deviation brings the best performance. For the second case, the service network design is extended with a pilot scheduling layer and simulation is undertaken to compare the autonomous (pilot-less) and piloted service design. The results suggest that an autonomous air metro service would be preferable if the price of an autonomous aircraft is less than 1.6 times the price of a human-driven one. The results for rolling horizon optimisation suggest to confirm the actual demand at least 45 minutes prior to departure. Based on data from the Sydney (Australia) region, the thesis provides information directly relevant for the service network design of emerging modes of air transport in the city.","url":"https://doi.org/10.26190/unsworks/9999","authors":["Zhao, Runqing"],"tags":["Airport operations","Autonomous mobility","Time–space network","Urban air mobility","350901 Air transportation and freight services"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2022","doi":"10.26190/unsworks/9999","addedAt":"2026-08-31T06:39:43.696Z","updatedAt":"2026-08-31T06:39:43.696Z"},{"id":"doi:10.5281/zenodo.21266705","name":"Using Reinforcement Learning for discovering the optimal path on street by Simulation of Urban MObility (SUMO)","source":"datacite","abstract":"This dataset supports the research presented in our study on reinforcement learning-based urban route optimization for intelligent transportation systems. It contains the simulation data used to develop and evaluate a Q-Learning framework that optimizes vehicle routing by considering multiple road and traffic factors, including vehicle density, travel time, waiting time, air pollution impact, traffic light frequency, dead-end roads, and route structural characteristics. The dataset was generated from a simulated urban environment in Python and was used to train and evaluate the proposed model over 2,999–15,000 training episodes. It enables the reproduction of the reported experiments and facilitates further research on reinforcement learning, intelligent transportation, and traffic congestion management, particularly for emergency vehicle routing in complex urban environments.","url":"https://doi.org/10.5281/zenodo.21266705","authors":["Esmaeil Abbasi, Ahmad"],"tags":["Reinforcement Learning,","Q-Learning","Route Optimization,",", Urban Traffic Management,","Intelligent Transportation Systems (ITS)","Traffic Congestion","Emergency Vehicle Routing","Urban Mobility"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.21266705","addedAt":"2026-08-31T06:39:43.696Z","updatedAt":"2026-08-31T06:39:43.696Z"},{"id":"doi:10.5281/zenodo.21266704","name":"Using Reinforcement Learning for discovering the optimal path on street by Simulation of Urban MObility (SUMO)","source":"datacite","abstract":"This dataset supports the research presented in our study on reinforcement learning-based urban route optimization for intelligent transportation systems. It contains the simulation data used to develop and evaluate a Q-Learning framework that optimizes vehicle routing by considering multiple road and traffic factors, including vehicle density, travel time, waiting time, air pollution impact, traffic light frequency, dead-end roads, and route structural characteristics. The dataset was generated from a simulated urban environment in Python and was used to train and evaluate the proposed model over 2,999–15,000 training episodes. It enables the reproduction of the reported experiments and facilitates further research on reinforcement learning, intelligent transportation, and traffic congestion management, particularly for emergency vehicle routing in complex urban environments.","url":"https://doi.org/10.5281/zenodo.21266704","authors":["Esmaeil Abbasi, Ahmad"],"tags":["Reinforcement Learning,","Q-Learning","Route Optimization,",", Urban Traffic Management,","Intelligent Transportation Systems (ITS)","Traffic Congestion","Emergency Vehicle Routing","Urban Mobility"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.21266704","addedAt":"2026-08-31T06:39:43.696Z","updatedAt":"2026-08-31T06:39:43.696Z"},{"id":"doi:10.13140/rg.2.2.13817.22886","name":"Title Air Taxi and eVTOL Systems: Transforming Urban Air Mobility and Future Transportation Author","source":"datacite","abstract":"","url":"https://doi.org/10.13140/rg.2.2.13817.22886","authors":["Supradip Baul","Debashree Dey"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.13140/rg.2.2.13817.22886","addedAt":"2026-08-31T06:39:43.696Z","updatedAt":"2026-08-31T06:39:43.696Z"},{"id":"doi:10.48550/arxiv.2607.04495","name":"U3DWind: A Low Altitude Wind Field Dataset and Benchmark for Urban Air Mobility","source":"datacite","abstract":"Urban Air Mobility (UAM) requires reliable assessment of low-altitude wind hazards, because winds, gusts, and building-induced turbulence have been recognized as critical factors affecting vehicle stability, route feasibility, vertiport siting, and airspace management. While wind-tunnel experiments, computational fluid dynamics (CFD), multiscale downscaling, reduced-order models, and UAV planning datasets have advanced wind-aware analysis, public resources for data-driven, city-scale UAM planning remain limited in geographic coverage, scenario diversity, vertical extent, building realism, and task-oriented benchmarking. To address this gap, we introduce U3DWind, a building-resolved low-altitude wind-field dataset generated using our GPU-accelerated Lattice Boltzmann Method--Large-Eddy Simulation (LBM-LES) framework for rapid urban flow simulation. U3DWind covers five megacities in China: Beijing, Shanghai, Guangzhou, Shenzhen, and Hong Kong. It contains 720 simulations, with 16 inflow directions, three reference wind speeds, and three seasonal atmospheric scenarios (annual, summer, and winter) for each city. At a 10 m grid resolution, the dataset provides three-dimensional three-component (3D3C) velocity, turbulent kinetic energy (TKE), flow density, and fluid--solid masks. To support operationally relevant evaluation, we further define five baseline tasks: wind-field prediction, sparse-sensor wind-field reconstruction, site wind-exposure ranking, airworthiness wind-compliance risk scoring, and noise propagation modeling. As a multi-city, building-resolved 3D urban wind-field dataset, U3DWind enables systematic evaluation of wind-induced impacts in low-altitude traffic scenarios and provides an open benchmark for urban airspace management and data-driven high-fidelity urban flow simulation.","url":"https://doi.org/10.48550/arxiv.2607.04495","authors":["Zhou, Shixiong","Wei, Huanxia","Xia, Chao","Xing, Yingying","Jiang, Changmin","Yang, Hai","Jia, Shuai"],"tags":["Fluid Dynamics (physics.flu-dyn)","Geophysics (physics.geo-ph)","FOS: Physical sciences","76G25"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.48550/arxiv.2607.04495","addedAt":"2026-08-31T06:39:43.696Z","updatedAt":"2026-08-31T06:39:43.696Z"},{"id":"doi:10.48550/arxiv.2607.03625","name":"Congestion Games with Heterogeneous Valuations: An Optimal Transport Approach","source":"datacite","abstract":"In emerging urban mobility and logistics applications, such as advanced air mobility, electric vehicle charging, and shared service systems, agents with heterogeneous valuations choose among multiple destinations while sharing congested network resources. However, existing congestion game and resource allocation models do not simultaneously capture heterogeneous destination preferences and aggregate congestion externalities. We introduce a new nonatomic congestion game framework in which agents are endowed with heterogeneous destination valuations modeled by a measure space. We characterize Nash equilibria and social optima in this setting and show that both admit finite-dimensional representations in terms of threshold vectors and dual potentials. These structures induce a partition of the valuation space that determines agents' destination choices. Our analysis leverages Kantorovich duality from optimal transport theory and provides a new geometric perspective on congestion games with heterogeneous valuations.","url":"https://doi.org/10.48550/arxiv.2607.03625","authors":["Su, Pan-Yang","Mehr, Negar","Sastry, Shankar"],"tags":["Computer Science and Game Theory (cs.GT)","Theoretical Economics (econ.TH)","Optimization and Control (math.OC)","FOS: Computer and information sciences","FOS: Economics and business","FOS: Mathematics","91A14, 90B20"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.48550/arxiv.2607.03625","addedAt":"2026-08-31T06:39:43.696Z","updatedAt":"2026-08-31T06:39:56.014Z"},{"id":"doi:10.5281/zenodo.21212532","name":"THE NEED TO DEVELOP GREEN MARKETING IN DENSELY POPULATED REGIONS: A SUSTAINABILITY-ORIENTED ANALYSIS OF ANDIJAN REGION, UZBEKISTAN","source":"datacite","abstract":"Environmental pressure is becoming one of the most visible consequences of rapid urbanization in densely populated regions. This article examines the need to develop green marketing in such territories, with particular attention to Andijan Region, one of Uzbekistan's most densely inhabited and economically active regions. The study interprets green marketing not only as the promotion of eco-friendly products, but as a practical mechanism that connects producer responsibility, consumer behavior, resource efficiency, environmental communication and public policy. Methodologically, the paper relies on conceptual analysis, document-based review and comparative synthesis of national green-economy priorities, environmental legislation, regional development materials and international green-marketing literature. The findings indicate that green marketing becomes especially important where population concentration increases pressure on air quality, water resources, land use, waste-management systems, urban mobility and public health. In the case of Andijan Region, the combination of intensive economic activity, limited land resources, growing demand for environmentally safe products and national commitments to a green economy creates a strong rationale for a coordinated green-marketing strategy. The article identifies priority directions, including expansion of green product markets, adoption of resource-efficient technologies, environmental certification, waste sorting and recycling, eco-oriented public transport, digital environmental monitoring and environmental education. It is argued that green marketing can contribute to competitiveness, investment attractiveness, social responsibility and quality of life when it is integrated with state support, business incentives and consumer awareness. The proposed recommendations are relevant for policymakers, enterprises and local authorities working in densely populated territories.","url":"https://doi.org/10.5281/zenodo.21212532","authors":["Sotvoldiyev Egamberdi Mo'minjon o'g'li","Worldly Knowledge Publishing Centre"],"tags":["green marketing; environmental marketing; green economy; sustainable development; densely populated regions; urbanization; Andijan Region; resource efficiency; environmental communication; consumer behavior."],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.21212532","addedAt":"2026-08-31T06:39:43.696Z","updatedAt":"2026-08-31T06:39:56.014Z"},{"id":"doi:10.5281/zenodo.21212531","name":"THE NEED TO DEVELOP GREEN MARKETING IN DENSELY POPULATED REGIONS: A SUSTAINABILITY-ORIENTED ANALYSIS OF ANDIJAN REGION, UZBEKISTAN","source":"datacite","abstract":"Environmental pressure is becoming one of the most visible consequences of rapid urbanization in densely populated regions. This article examines the need to develop green marketing in such territories, with particular attention to Andijan Region, one of Uzbekistan's most densely inhabited and economically active regions. The study interprets green marketing not only as the promotion of eco-friendly products, but as a practical mechanism that connects producer responsibility, consumer behavior, resource efficiency, environmental communication and public policy. Methodologically, the paper relies on conceptual analysis, document-based review and comparative synthesis of national green-economy priorities, environmental legislation, regional development materials and international green-marketing literature. The findings indicate that green marketing becomes especially important where population concentration increases pressure on air quality, water resources, land use, waste-management systems, urban mobility and public health. In the case of Andijan Region, the combination of intensive economic activity, limited land resources, growing demand for environmentally safe products and national commitments to a green economy creates a strong rationale for a coordinated green-marketing strategy. The article identifies priority directions, including expansion of green product markets, adoption of resource-efficient technologies, environmental certification, waste sorting and recycling, eco-oriented public transport, digital environmental monitoring and environmental education. It is argued that green marketing can contribute to competitiveness, investment attractiveness, social responsibility and quality of life when it is integrated with state support, business incentives and consumer awareness. The proposed recommendations are relevant for policymakers, enterprises and local authorities working in densely populated territories.","url":"https://doi.org/10.5281/zenodo.21212531","authors":["Sotvoldiyev Egamberdi Mo'minjon o'g'li","Worldly Knowledge Publishing Centre"],"tags":["green marketing; environmental marketing; green economy; sustainable development; densely populated regions; urbanization; Andijan Region; resource efficiency; environmental communication; consumer behavior."],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.21212531","addedAt":"2026-08-31T06:39:43.696Z","updatedAt":"2026-08-31T06:39:56.014Z"},{"id":"doi:10.24406/publica-4533","name":"Integrating Topographical Map Information in SUMO to Simulate Realistic Micromobility Trips in Hilly and Steep Terrains","source":"datacite","abstract":"Nowadays, shared micromobility has become a trend in cities as an alternative to conventional automotive vehicles, especially for short-distance travel. It also plays an important role in the reduction of the number of automotive vehicles which results in a decrease of air pollution and traffic congestion. Shared micromobility is, however, influenced by the terrain characteristics. Varying elevation within a fleet operational area can cause imbalances in the use of micromobility stations if a steep terrainlies between stations. It also impacts the energy consumption of electric micromobility vehicles such as e-bicycles and e-scooters. Therefore, to simulate the state of charge (SOC) of traction batteries for micromobility close to reality, it is essential to include elevation data into the simulation model. This paper proposes a workflow for Simulation of Urban MObility (SUMO) comprising several steps with concrete implementation and validation in order to prepare and define the simulation model with micromobility stations and the integration of elevation data using a REST API. The integration of elevation and bike station data is validated with a defined vehicle type following a routein the hilly part of Stuttgart, Germany. A comparison of micromobility trips, with and without elevation data, was performed through a simulation by recording changes in energy consumption and driven altitude differences. The proposed workflow provides a basis for more complex use cases such as analysing micromobility business areas, improving vehicle distributions and developing incentive strategies for hilly and steep terrains.","url":"https://doi.org/10.24406/publica-4533","authors":["Freymann, Andreas","Reichsöllner, Emanuel","Ravlija, Damir","Trautwein, Ingo","Sonntag, Mirko",":unav"],"tags":["SUMO","Simulation","Micromobility","Elevation Data","Shared Mobility","Traction Battery"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.24406/publica-4533","addedAt":"2026-08-31T06:39:43.696Z","updatedAt":"2026-08-31T06:39:43.696Z"},{"id":"doi:10.5281/zenodo.21131698","name":"Topological Game Self-Play Scheduling Framework for eVTOL Vertiport Low-Altitude Landing and Takeoff","source":"datacite","abstract":"This preprint proposes an AlphaZero-inspired topological game self-play scheduling framework to resolve core scheduling bottlenecks of high-density eVTOL vertiport urban air mobility (UAM). A modular 2.5D low-altitude airspace topological primitive system is defined to construct generable vertiport simulation environments, transforming multi-eVTOL takeoff/landing slot competition into a temporal occupancy combinatorial multi-agent cooperative-competitive game. The framework integrates Topology-aware Mixture-of-Experts (TopoMoE) graph neural networks for multi-scale airspace feature encoding and temporal discount improved MCTS-UCT for long-horizon sequential slot reasoning. A hierarchical multi-objective reward function balances flight safety, pad throughput, delay and power consumption, and teacher-student policy distillation generates lightweight airborne decision modules supporting distributed independent vehicle scheduling without central UTM solvers. Different from separated arrival/departure scheduling models, this work realizes unified modeling of landing and takeoff tasks under one graph topology and MCTS pipeline. It eliminates reliance on manual scheduling rules and global centralized optimization, featuring interpretable multi-step temporal planning, modular airspace extension, communication-fault-tolerant distributed coordination, self-emergent cooperative flight yielding behaviors and integrated arrival-departure decision-making. Staged simulation verification schemes, four core scientific assumptions and five-phase experimental roadmaps are provided for quantitative benchmarking against FCFS heuristics and MILP solvers. The research provides a novel distributed self-play scheduling technical path for dense urban vertiport operation and a general topological game paradigm for low-altitude time-resource scheduling problems.","url":"https://doi.org/10.5281/zenodo.21131698","authors":["Lanhaijian"],"tags":["Urban Air Mobility; eVTOL; Vertiport Scheduling; Topological Game; Self-Play Reinforcement Learning; Monte-Carlo Tree Search; Graph Neural Networks; Multi-Agent Coordination; TopoMoE; Distributed Air Traffic Scheduling","1. Urban Air Mobility (UAM) &amp; eVTOL Terminal Operation","2. Vertiport Low-Altitude Airspace Scheduling &amp; Conflict Resolution","3. Multi-Agent Reinforcement Learning (MARL) with Self-Play Paradigm","4. Monte-Carlo Tree Search (MCTS) Optimized for Time-Slot Sequential Decision","5. Topology-Aware Graph Neural Networks (GNN) for Heterogeneous Airspace Encoding"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.21131698","addedAt":"2026-08-31T06:39:43.696Z","updatedAt":"2026-08-31T06:39:43.696Z"},{"id":"doi:10.5281/zenodo.21131697","name":"Topological Game Self-Play Scheduling Framework for eVTOL Vertiport Low-Altitude Landing and Takeoff","source":"datacite","abstract":"This preprint proposes an AlphaZero-inspired topological game self-play scheduling framework to resolve core scheduling bottlenecks of high-density eVTOL vertiport urban air mobility (UAM). A modular 2.5D low-altitude airspace topological primitive system is defined to construct generable vertiport simulation environments, transforming multi-eVTOL takeoff/landing slot competition into a temporal occupancy combinatorial multi-agent cooperative-competitive game. The framework integrates Topology-aware Mixture-of-Experts (TopoMoE) graph neural networks for multi-scale airspace feature encoding and temporal discount improved MCTS-UCT for long-horizon sequential slot reasoning. A hierarchical multi-objective reward function balances flight safety, pad throughput, delay and power consumption, and teacher-student policy distillation generates lightweight airborne decision modules supporting distributed independent vehicle scheduling without central UTM solvers. Different from separated arrival/departure scheduling models, this work realizes unified modeling of landing and takeoff tasks under one graph topology and MCTS pipeline. It eliminates reliance on manual scheduling rules and global centralized optimization, featuring interpretable multi-step temporal planning, modular airspace extension, communication-fault-tolerant distributed coordination, self-emergent cooperative flight yielding behaviors and integrated arrival-departure decision-making. Staged simulation verification schemes, four core scientific assumptions and five-phase experimental roadmaps are provided for quantitative benchmarking against FCFS heuristics and MILP solvers. The research provides a novel distributed self-play scheduling technical path for dense urban vertiport operation and a general topological game paradigm for low-altitude time-resource scheduling problems.","url":"https://doi.org/10.5281/zenodo.21131697","authors":["Lanhaijian"],"tags":["Urban Air Mobility; eVTOL; Vertiport Scheduling; Topological Game; Self-Play Reinforcement Learning; Monte-Carlo Tree Search; Graph Neural Networks; Multi-Agent Coordination; TopoMoE; Distributed Air Traffic Scheduling","1. Urban Air Mobility (UAM) &amp; eVTOL Terminal Operation","2. Vertiport Low-Altitude Airspace Scheduling &amp; Conflict Resolution","3. Multi-Agent Reinforcement Learning (MARL) with Self-Play Paradigm","4. Monte-Carlo Tree Search (MCTS) Optimized for Time-Slot Sequential Decision","5. Topology-Aware Graph Neural Networks (GNN) for Heterogeneous Airspace Encoding"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.21131697","addedAt":"2026-08-31T06:39:43.696Z","updatedAt":"2026-08-31T06:39:43.696Z"},{"id":"doi:10.17170/kobra-2026042312115","name":"Modelle für die Prognose der Fahrzeugauslastung im ÖPNV auf Basis von Zähldaten","source":"datacite","abstract":"Das derzeitig in Deutschland vorherrschende Verkehrssystem ist weder umweltverträglich noch sozial gerecht: Zu den dringlichsten Fragen unserer Zeit gehört zweifelsfrei, wie das Erreichen ambitionierter Klimaziele gelingen kann. Der Verkehrssektor in Deutschland trägt zum Erreichen dieser Ziele bisher einen zu geringen Teil bei, obwohl er für 22 % der Treibhausgasemissionen verantwortlich ist. Während andere Sektoren bereits einen nachhaltigen Pfad eingeschlagen haben, ist im Verkehrssektor noch immer keine klare Trendwende bezüglich klimaschädlicher Emissionen zu erkennen. Daneben erzeugt der Fokus auf die motorisierte individuelle Mobilität eine Vielzahl weiterer Probleme, die vor allem (aber nicht nur) in urbanen Räumen sichtbar werden: Verkehrssysteme stoßen an ihre Belastungsgrenzen, was zu mehr Stauzeiten führt. Verteilungskonflikte zwischen Nutzenden unterschiedlicher Verkehrsmittel werden durch eine begrenzte Flächenverfügbarkeit hervorgerufen. Verkehrslärm, Luftverschmutzung und Unfälle führen zu erheblichen gesundheitlichen und volkswirtschaftlichen Schäden. In dieser Arbeit werden Prognosemodelle für die Auslastung von Fahrzeugen des ÖPNV entwickelt, vorgestellt und evaluiert. Zunächst wird ein Prognosemodell auf Basis von Daten aus automatischen Fahrgastzählsystemen (AFZS) des Nordhessischen Verkehrsverbunds (NVV) entwickelt, welches auf einer Einteilung der Fahrgastnachfrage in homogene Nachfrageschichten basiert (Schichtungsverfahren). Es wird geprüft, welche Eingangsdaten für dieses Schichtungsmodell sinnvoll sind und welche weiteren Datenquellen genutzt werden können. Neben diesem Schichtungsmodell wird mit XGBoost ein Verfahren aus dem Bereich des Maschinellen Lernens für die Konzeption zweier weiterer Modelle verwendet. Alle drei Modelle dieser Gruppe der sogenannten Langzeitprognosen verwenden die gleichen Eingangsdaten. Somit kann die Qualität der Modellergebnisse bei identischer Datengrundlage verglichen werden.","url":"https://doi.org/10.17170/kobra-2026042312115","authors":["Saake, Stefan"],"tags":["ÖPNV","Prognose","Fahrzeugauslastung","Machine Learning","AFZS","300","380","Deutschland"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.17170/kobra-2026042312115","addedAt":"2026-08-31T06:39:43.696Z","updatedAt":"2026-08-31T06:39:52.013Z"},{"id":"doi:10.13016/rsad-fck2","name":"UNSUPERVISED NEURAL BEAMFORMING FOR SCALABLE AND ROBUST PHY-LAYER DESIGNS IN NEXT-GENERATION WIRELESS SYSTEMS","source":"datacite","abstract":"Beamforming plays a crucial role in the physical layer of 5G and beyond, enabling spatial multiplexing, interference management, and spectral efficiency in multi-user MIMO systems to meet the demands of high data rates, massive connectivity, and low-latency communication. Traditional linear beamforming techniques such as zero-forcing beamforming (ZFBF) and minimum mean square error (MMSE) beamforming provide closed-form solutions with analytical tractability. However, their performance degrades under imperfect channel state information (CSI) and dynamic propagation conditions. Additionally, they incur high computation complexity that limits scalability to large deployments such as massive MIMO. As a result, they often fall short of meeting the scalability and adaptability requirements of next-generation networks. Recognizing these limitations, deep learning (DL)-based beamforming has emerged as a promising alternative. While supervised deep DL approaches are capable of modeling nonlinear relationships, they require ground-truth beamformers as labeled data during training, which are rarely available in practice.To overcome these challenges, we develop adaptive, data-driven unsupervised neural beamforming frameworks and further investigate their robustness and scalability in this dissertation. First, we introduce an unsupervised neural beamforming (NNBF) framework for uplink multi-user single input multiple output (MU-SIMO) systems under 3GPP-compliant channel models. Thus, in contrast to supervised DL-based beamforming methods, we remove the reliance on ground-truth beamformers by directly optimizing the sum-rate objective in an end-to-end fashion. We propose two architectures: a lightweight convolutional design, simple NNBF, for stationary user equipments (UEs) with perfect CSI, and a transformer-based design that integrates grouped convolutions and multi-channel attention, tailored for dense urban environments with imperfect CSI and user mobility. Both models are trained by using frequency- domain channel responses, and they generate beamforming weights directly in the frequency domain. Our results demonstrate that simple NNBF achieves comparable or better performance than MMSE while consistently outperforming ZFBF across all SNR regimes with reduced complexity. Moreover, transformer-based NNBF provides further gains compared to baseline techniques ZFBF and MMSE with imperfect CSI under high-mobility conditions at the cost of higher computational overhead. Next, we extend transformer-based NNBF by introducing Doppler-aware sparse attention, leading to the Doppler-aware Sparse Neural Beamforming (Sparse NNBF) framework. In this design, we directly tackle the quadratic complexity of standard full attention by using a Doppler-aware sparse attention mechanism, which improves the scalability for large OFDM grids and the robustness for high mobility scenarios. Specifically, we design a channel-adaptive sparse attention mechanism that changes sparsity patterns along the two-dimensional time-frequency grid according to channel dynamics, such as the Doppler shift effect. We provide a theoretical guarantee of full connectivity; any two query-key pairs can be connected within a bounded number of hops p, where p denotes the number of heads. This ensures that our sparsification design does not compromise expressiveness. Compared to fixed sparsity schemes such as strided or local windowing, Doppler-aware sparse beamforming adapts to temporal variability and captures wireless channel dynamics better. Our experimental findings with 3GPP UMa channels demonstrate that Sparse NNBF surpasses both traditional beamforming methods and transformer-based NNBF utilizing static sparse patterns, revealing resilience in high-mobility scenarios. Then, we introduce NNBF-P, an unsupervised DL framework for the joint design of downlink multi-user multiple input single output (MU-MISO) beamforming and power allocation. NNBF-P learns both beamforming vectors a","url":"https://doi.org/10.13016/rsad-fck2","authors":["Vahapoglu, Cemil Nureddin"],"tags":["Electrical engineering","Technical communication","Engineering","deep learning","MIMO","neural beamforming","sum-rate maximization","unsupervised learning"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.13016/rsad-fck2","addedAt":"2026-08-31T06:39:43.696Z","updatedAt":"2026-08-31T06:39:43.696Z"},{"id":"doi:10.17605/osf.io/4k9ds","name":"Crime and Covid-19: Effect of changes in routine activities in Mexico City","source":"datacite","abstract":"This study seeks to examine the effect of the covid-19-related changes in routine activities on crime patterns in an urban area. Using data from Mexico City, I will first identify a suitable proxy measure to estimate the amount of activity outside homes (such as public transit passenger numbers, mobility apps trip queries, or amount of air pollution) before and after the social distancing restrictions imposed due to the Covid-19 epidemic. Then, I will examine if spatio-temporal crime patterns are associated with those of the proxy measures of routine activities.","url":"https://doi.org/10.17605/osf.io/4k9ds","authors":["Patricio R Estévez-Soto"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2020","doi":"10.17605/osf.io/4k9ds","addedAt":"2026-08-31T06:39:43.696Z","updatedAt":"2026-08-31T06:39:43.696Z"},{"id":"doi:10.17605/osf.io/3gf67","name":"Crime and Covid-19: Effect of changes activities in Mexico City","source":"datacite","abstract":"This study seeks to examine the effect of the covid-19-related changes in routine activities on crime patterns in an urban area. Using data from Mexico City, I will first identify a suitable proxy measure to estimate the amount of activity outside homes (such as public transit passenger numbers, mobility apps trip queries, or amount of air pollution) before and after the social distancing restrictions imposed due to the Covid-19 epidemic. Then, I will examine if spatio-temporal crime patterns are associated with those of the proxy measures of routine activities.","url":"https://doi.org/10.17605/osf.io/3gf67","authors":["Patricio R Estévez-Soto"],"tags":["Public Policy","Public Health","Medicine and Health Sciences","Public Affairs, Public Policy and Public Administration","Urban Studies","Epidemiology","Social and Behavioral Sciences","Sociology"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2020","doi":"10.17605/osf.io/3gf67","addedAt":"2026-08-31T06:39:43.696Z","updatedAt":"2026-08-31T06:39:43.696Z"},{"id":"doi:10.5075/epfl-thesis-7068","name":"Mobile Sensor Networks for Air Quality Monitoring in Urban Settings","source":"datacite","abstract":"With urban populations rapidly increasing and millions of deaths being attributed annually to air pollution, there is a critical need for a deeper understanding of urban air quality. The locality of urban emissions sources, and the specific topography of cities lead to a very heterogeneous pollutant concentration landscape, the details of which cannot be captured by traditional monitoring stations. Although highly accurate, these systems are large, heavy and very expensive, which leads to a very sparse distribution of measurements. Mobile sensor networks hold the potential to allow a paradigm shift in our understanding of urban air pollution, through an augmentation of the spatial resolution of measurements. The road to achieving reliable high quality information from these type of systems is, however, full of challenges. These start from the system design, as the task of developing robust mobile sensing networks for continuous urban monitoring is arduous in itself. The limitations of existing sensor technology is another important source of hard problems. Chemical sensors suffer from many issues that make their use in a mobile scenario non-trivial. These include: instability, cross-sensitivity, low signal-to-noise ratios, and slow dynamic response. The latter problem, in particular, is a tough challenge when considering a mobile scenario, as it leads to significant measurement distortion. The question of maintaining the calibration of chemical sensors is another essential issue that derives from their instability. Finally, the development of appropriate modeling techniques that would enable us to generate high-resolution pollution maps based on mobile sensor network data is a highly difficult problem due to the inherently dynamic and partial coverage of such systems. The aim of this thesis is to show the feasibility of mobile sensor networks for monitoring air quality and their ability to achieve the goal of pushing our understanding of urban air pollution. We have taken a holistic approach, by studying the end-to-end system, and addressing each of the aforementioned challenges. Using public transportation vehicles for mobility, we have developed and deployed a full-scale mobile sensor network for monitoring the air quality in the city of Lausanne, Switzerland. We have carefully considered all steps of the system design process, starting from the choice of targeted pollutants, sensor selection, node design, server architecture, and system operation. For addressing the problem of mobility-caused distortion, we created a rigorous wind tunnel experimental set-up to study this effect and the techniques for mitigating it. We propose using deconvolution for recovering the underlying pollutant signal. Since the performance of this approach is limited by the signal-to-noise ratio of the measurements, we propose using an active sniffer to enhance the quality of the raw signal. On the topic of sensor calibration, we propose two improvements to online rendezvous calibration methodology. The first one is a model-based approach, which considers the use of more sophisticated sensor models, which are more faithful to the complex behavior of chemical sensors. The second one proposes the use of a pre-processing step, in which the mobile data is deconvolved. Finally, we study the problem of generating high-resolution maps based on mobile data. We propose five statistical modeling methods that use a heterogeneous list of explanatory variables.","url":"https://doi.org/10.5075/epfl-thesis-7068","authors":["Arfire, Adrian"],"tags":["mobile wireless sensor networks","air quality monitoring","mobile chemical sensing","air sampling systems","chemical sensor calibration","high-resolution pollution mapping"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2016","doi":"10.5075/epfl-thesis-7068","addedAt":"2026-08-31T06:39:43.696Z","updatedAt":"2026-08-31T06:39:43.696Z"},{"id":"doi:10.17028/rd.lboro.30775283","name":"Dataset for Noise Patterns of Overlapping Propellers in Forward Flight","source":"datacite","abstract":"The development of distributed electric propulsion (DEP) systems is gaining increasing attention as a core means to achieve greener and more sustainable aviation goals. This innovation is essential for advancing Urban Air Mobility (UAM), which utilizes multiple propellers to efficiently distribute thrust. Nevertheless, a significant challenge inherent in the implementation of DEP configurations is the production of elevated noise levels. This noise is a major concern not only for its environmental implications but also due to its direct impact on the public acceptance of these emerging air transportation technologies [1,2,3].To mitigate these acoustic challenges, the aerodynamic interaction between propellers has been widely investigated, with special efforts dedicated to configurations such as tandem, side-by-side, and coaxial propellers. Understanding the mechanisms behind noise generation in these multi-propeller arrangements is crucial during both hover and forward flight. Concurrently, there is a growing demand across both industry and academia for higher payload capacities, which requires increasing the number of propellers. To maximize space efficiency in these increasingly complex systems, one engineering solution involves arranging the propellers in overlapping configurations[4,5].Overlapping configurations present a more complex aeroacoustic problem compared to traditional layouts, primarily because the wake shed from one propeller can directly impinge on others. Preliminary studies have shown that these interactions significantly contribute to both tonal and broadband noise. For instance, partial overlap can lead to a substantial reduction in the rear propeller’s aerodynamic performance due to the influence of the front propeller’s slipstream (Figure 1), while simultaneously increasing acoustic emissions. Overlapping propellers generally experience reduced thrust, increased thrust fluctuations, and intensified tonal noise, sometimes by up to 10 dB at low observation angles. A key characteristic of these setups is that one propeller interacts asymmetrically with the incoming wake of the other.Despite these crucial findings, there is a distinct lack of experimental activities documented in the existing literature aimed at gaining knowledge about the aeroacoustic interactions between overlapping propeller configurations specifically under forward flight conditions. Previous research has often focused on hover flight conditions or solely on aerodynamic performance. Therefore, this experimental campaign focuses on the noise characteristics of partially overlapping propellers at very close axial distances. Specifically, it aims to identify the common and distinctive features of the aeroacoustic interaction compared to non-overlapping configurations. All results from these measurements can be found in Turhan et al. 2024 [6], which offers a detailed description of the test conditions and wind tunnel setup, and their original dataset can be found here.© the author","url":"https://doi.org/10.17028/rd.lboro.30775283","authors":["Buda Turhan"],"tags":["Engineering"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.17028/rd.lboro.30775283","addedAt":"2026-08-31T06:39:43.696Z","updatedAt":"2026-08-31T06:39:48.855Z"},{"id":"doi:10.17028/rd.lboro.30775283.v1","name":"Dataset for Noise Patterns of Overlapping Propellers in Forward Flight","source":"datacite","abstract":"The development of distributed electric propulsion (DEP) systems is gaining increasing attention as a core means to achieve greener and more sustainable aviation goals. This innovation is essential for advancing Urban Air Mobility (UAM), which utilizes multiple propellers to efficiently distribute thrust. Nevertheless, a significant challenge inherent in the implementation of DEP configurations is the production of elevated noise levels. This noise is a major concern not only for its environmental implications but also due to its direct impact on the public acceptance of these emerging air transportation technologies [1,2,3].To mitigate these acoustic challenges, the aerodynamic interaction between propellers has been widely investigated, with special efforts dedicated to configurations such as tandem, side-by-side, and coaxial propellers. Understanding the mechanisms behind noise generation in these multi-propeller arrangements is crucial during both hover and forward flight. Concurrently, there is a growing demand across both industry and academia for higher payload capacities, which requires increasing the number of propellers. To maximize space efficiency in these increasingly complex systems, one engineering solution involves arranging the propellers in overlapping configurations[4,5].Overlapping configurations present a more complex aeroacoustic problem compared to traditional layouts, primarily because the wake shed from one propeller can directly impinge on others. Preliminary studies have shown that these interactions significantly contribute to both tonal and broadband noise. For instance, partial overlap can lead to a substantial reduction in the rear propeller’s aerodynamic performance due to the influence of the front propeller’s slipstream (Figure 1), while simultaneously increasing acoustic emissions. Overlapping propellers generally experience reduced thrust, increased thrust fluctuations, and intensified tonal noise, sometimes by up to 10 dB at low observation angles. A key characteristic of these setups is that one propeller interacts asymmetrically with the incoming wake of the other.Despite these crucial findings, there is a distinct lack of experimental activities documented in the existing literature aimed at gaining knowledge about the aeroacoustic interactions between overlapping propeller configurations specifically under forward flight conditions. Previous research has often focused on hover flight conditions or solely on aerodynamic performance. Therefore, this experimental campaign focuses on the noise characteristics of partially overlapping propellers at very close axial distances. Specifically, it aims to identify the common and distinctive features of the aeroacoustic interaction compared to non-overlapping configurations. All results from these measurements can be found in Turhan et al. 2024 [6], which offers a detailed description of the test conditions and wind tunnel setup, and their original dataset can be found here.© the author","url":"https://doi.org/10.17028/rd.lboro.30775283.v1","authors":["Buda Turhan"],"tags":["Engineering"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.17028/rd.lboro.30775283.v1","addedAt":"2026-08-31T06:39:43.696Z","updatedAt":"2026-08-31T06:39:48.855Z"},{"id":"doi:10.17605/osf.io/nmce7","name":"PEGASUS WP1 Societal Readiness Score: systematic review of Innovative Air Mobility acceptance, privacy, noise, safety, sustainability, equity, and governance evidence","source":"datacite","abstract":"An Horizont Europe project. Urban mobility across Europe is under unprecedented strain, with congestion, emissions, and infrastructure limitations threatening climate neutrality and liveability. Innovative Air Mobility (IAM) including drones and eVTOL systems, offers a transformative solution for low-emission logistics and services. Yet, widespread adoption depends not only on technical feasibility but also on societal readiness: trust, acceptance, and integration with daily life. PEGASUS addresses this challenge by embedding societal readiness as the central axis of IAM innovation, co-design, and deployment. Bringing together four of Europe’s leading IAM operators with social scientists, city authorities, and citizens, PEGASUS will pioneer a Societal Readiness Score (SRS) for IAM. Leveraging over 200,000 completed missions and 200 daily ongoing operations, the project will define, test, and improve this multidimensional metric covering noise, privacy, safety, energy, climate, and inclusivity. Real-world demonstrations in Ireland, Portugal, Italy, and Bulgaria will validate technical and operational innovations designed to increase societal readiness, from low-noise propulsion and optimised flight paths to participatory planning frameworks. PEGASUS will deliver a validated IAM evaluation platform and Societal Readiness Scoreboard empowering policymakers, regulators, and operators with an evidence-based decision-support toolkit. The project will co-develop infrastructure guidelines, multimodal logistics integration models, business frameworks, and public engagement strategies, ensuring IAM is economically viable, environmentally sustainable, and socially trusted. Outcomes will directly inform Sustainable Urban Mobility Plans, producing a roadmap and replication toolkit for EU-wide adoption. PEGASUS will set the standard for responsible, scalable urban air mobility in Europe accelerating climate neutrality, enabling economic growth, and fostering public trust in next-generation transport.","url":"https://doi.org/10.17605/osf.io/nmce7","authors":["Nuno Boavida","António Brandão Moniz"],"tags":["Business","Science and Technology Studies","Transportation","Public Policy","Public Affairs, Public Policy and Public Administration","Social and Behavioral Sciences","Urban Studies and Planning","Engineering"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.17605/osf.io/nmce7","addedAt":"2026-08-31T06:39:43.696Z","updatedAt":"2026-08-31T06:39:43.696Z"},{"id":"doi:10.5281/zenodo.19360289","name":"Ep. 575: The End of the Car: Can We Really Quit Private Transport?","source":"datacite","abstract":"Episode summary: Join Herman and Corn as they dive into a listener-inspired debate on the future of private transport. While electric vehicles are often hailed as the ultimate solution, this episode explores the \"geometry problem\" of urban congestion and the hidden environmental costs of car manufacturing. From the \"Superblocks\" of Barcelona to the innovative transit networks of the Netherlands, we examine how cities are reclaiming public space from cars. Is it possible to scale these solutions to rural areas, and what does true freedom of movement look like in a world without traffic jams? Discover why the next revolution in transport might not be what's under the hood, but how we design our world. Show Notes In the latest episode of *My Weird Prompts*, hosts Herman Poppleberry and Corn tackle a question that strikes at the heart of modern urban living: Is it time to abandon the private automobile entirely? The discussion was sparked by a listener named Daniel, who found himself questioning the foundations of civilization while stuck in a two-hour gridlock on a journey that should have taken forty minutes. As Herman points out, the frustration Daniel felt is a symptom of a larger urbanist realization—that we haven't just built cities for people; we've built them for cars, and then invited humans to live in the gaps. ### The Problem with the Electric Savior One of the most provocative segments of the discussion revolves around the limitations of electric vehicles (EVs). While EVs are often marketed as the \"finish line\" for sustainable transport, Herman and Corn argue they are merely a transitional step. Herman introduces the \"geometry problem\": a car, regardless of its power source, occupies a fixed amount of physical space. Whether it runs on gasoline or electricity, a two-ton metal box carrying a single person is an inefficient use of urban land. The hosts also delve into the hidden environmental costs of EVs. Beyond the intensive mining required for lithium and cobalt, Herman highlights a growing concern in 2026: tire wear. Because EVs are significantly heavier than internal combustion vehicles due to their batteries, they produce more road dust and primary microplastics. While they improve local air quality by eliminating tailpipe emissions, they do not solve the issues of resource extraction, microplastic pollution, or the sheer congestion of our streets. ### Solving the Rural Divide A significant hurdle in the quest for a car-free society is the \"remote community challenge.\" For those living in sparsely populated areas, the high-frequency rail systems of a metropolis are financially and logistically impossible. However, Herman suggests that the solution lies in \"Mobility as a Service\" (MaaS). Instead of private ownership, rural residents could utilize a publicly managed fleet of modular, autonomous shuttles. This system would function like a coordinated version of a ride-sharing app, integrated directly into the national transit grid. Herman cites the Swiss \"PostBus\" and pulse system as a gold standard, where every train, bus, and boat is timed to meet at specific intervals, creating a \"virtual spiderweb of connectivity\" that makes car ownership feel like a burden rather than a freedom. ### Reclaiming the Streets The conversation then shifts to the psychological barrier of \"freedom.\" For many, the car represents the ultimate autonomy. Corn and Herman challenge this notion, suggesting that true freedom is the ability to read, sleep, or work while traveling, without the financial stress of car payments, insurance, and maintenance. To achieve this, cities must undergo a physical transformation. Herman clarifies that \"car-free\" rarely means the total removal of asphalt. Instead, it refers to \"car-lite\" designs where roads are repurposed. In the Superblocks of Barcelona, through-traffic is pushed to the perimeter, turning interior streets into shared spaces for pedestrians and cyclists. Interestingly, Herman notes that emerge","url":"https://doi.org/10.5281/zenodo.19360289","authors":["Rosehill, Daniel","Gemini 3.1 (Flash)","Chatterbox TTS"],"tags":["podcast","ai-generated","my weird prompts","urban-planning","public-transit","sustainable-mobility"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.19360289","addedAt":"2026-08-31T06:39:43.696Z","updatedAt":"2026-08-31T06:39:50.721Z"},{"id":"doi:10.6084/m9.figshare.c.8557065.v1","name":"Study protocol for evaluating integrated urban development plans: impacts on health, social equity, and environmental sustainability in Germany","source":"datacite","abstract":"Abstract Background The urban environment plays a significant role in shaping residents’ health, wellbeing, and opportunities for social participation. Urban development interventions have been shown to positively influence physical activity, mental health, quality of life, and self-reported health status. However, most previous studies have focused on single measures or specific environmental aspects. Integrated Urban Development Plans (IUDPs), by contrast, combine interventions from multiple domains, such as housing, infrastructure, green spaces, and social participation, to promote health equity and sustainable urban transformation. The SalusTransform project aims to evaluate IUDPs in three German cities regarding their implementation processes as well as their impacts on health, social equity, and ecological sustainability. Methods We will compare three IUDP intervention areas with three control areas in the respective cities using a mixed-methods design. Quantitative and qualitative data will be collected to assess both process and outcome quality of the IUDPs. Primary data collections include resident surveys and focus groups, qualitative interviews with stakeholders, as well as environmental and infrastructural assessments, including air-quality measurements, site visits, and observations related to active mobility and urban green spaces. Secondary data on population structure, aggregated health indicators, and local implementation processes will be provided by the municipalities. Analyses will follow a difference-in-differences approach to identify changes attributable to IUDP implementation while accounting for similar developments in the control areas. Discussion By building a comprehensive database that links health-related, social, and environmental indicators, SalusTransform will provide valuable evidence on the real-world effects of IUDPs. Findings will inform municipalities, policymakers, and practitioners about the effectiveness and transferability of IUDPs and contribute to the institutionalisation of their systematic evaluation. Close collaboration with local authorities will ensure continuous monitoring of changes and strengthen the practical relevance of the research. Targeted communication strategies will be implemented to engage population groups that are often underrepresented in research and urban planning processes. Trial registration This study was prospectively registered with the German Clinical Trials Register (DRKS00036042) on May 28th, 2025.","url":"https://doi.org/10.6084/m9.figshare.c.8557065.v1","authors":["Tönnies, Justus","Krumreihn, Aline","Stelzer, Franziska","Senck, Ellen","Bongers-Römer, Sabine","Stalling, Imke","Gröne, Katharina","Bammann, Karin","Köckler, Heike","Bolte, Gabriele"],"tags":["Sociology","FOS: Sociology"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.6084/m9.figshare.c.8557065.v1","addedAt":"2026-08-31T06:39:43.696Z","updatedAt":"2026-08-31T06:39:52.013Z"},{"id":"doi:10.6084/m9.figshare.c.8557065","name":"Study protocol for evaluating integrated urban development plans: impacts on health, social equity, and environmental sustainability in Germany","source":"datacite","abstract":"Abstract Background The urban environment plays a significant role in shaping residents’ health, wellbeing, and opportunities for social participation. Urban development interventions have been shown to positively influence physical activity, mental health, quality of life, and self-reported health status. However, most previous studies have focused on single measures or specific environmental aspects. Integrated Urban Development Plans (IUDPs), by contrast, combine interventions from multiple domains, such as housing, infrastructure, green spaces, and social participation, to promote health equity and sustainable urban transformation. The SalusTransform project aims to evaluate IUDPs in three German cities regarding their implementation processes as well as their impacts on health, social equity, and ecological sustainability. Methods We will compare three IUDP intervention areas with three control areas in the respective cities using a mixed-methods design. Quantitative and qualitative data will be collected to assess both process and outcome quality of the IUDPs. Primary data collections include resident surveys and focus groups, qualitative interviews with stakeholders, as well as environmental and infrastructural assessments, including air-quality measurements, site visits, and observations related to active mobility and urban green spaces. Secondary data on population structure, aggregated health indicators, and local implementation processes will be provided by the municipalities. Analyses will follow a difference-in-differences approach to identify changes attributable to IUDP implementation while accounting for similar developments in the control areas. Discussion By building a comprehensive database that links health-related, social, and environmental indicators, SalusTransform will provide valuable evidence on the real-world effects of IUDPs. Findings will inform municipalities, policymakers, and practitioners about the effectiveness and transferability of IUDPs and contribute to the institutionalisation of their systematic evaluation. Close collaboration with local authorities will ensure continuous monitoring of changes and strengthen the practical relevance of the research. Targeted communication strategies will be implemented to engage population groups that are often underrepresented in research and urban planning processes. Trial registration This study was prospectively registered with the German Clinical Trials Register (DRKS00036042) on May 28th, 2025.","url":"https://doi.org/10.6084/m9.figshare.c.8557065","authors":["Tönnies, Justus","Krumreihn, Aline","Stelzer, Franziska","Senck, Ellen","Bongers-Römer, Sabine","Stalling, Imke","Gröne, Katharina","Bammann, Karin","Köckler, Heike","Bolte, Gabriele"],"tags":["Sociology","FOS: Sociology"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.6084/m9.figshare.c.8557065","addedAt":"2026-08-31T06:39:43.696Z","updatedAt":"2026-08-31T06:39:52.013Z"},{"id":"doi:10.17028/rd.lboro.30104626.v6","name":"Dataset for Acoustic Characteristics of Phase-Synchronized Adjacent Propellers","source":"datacite","abstract":"In recent years, urban air mobility has emerged as a promising solution to the challenges of modern transportation. By using small aircraft to move people and goods within cities, it aims to reduce traffic congestion, cut down on pollution, and provide more sustainable travel options. The rapid growth of interest in this field has also driven significant improvements in rotor and aircraft design. However, one of the biggest hurdles facing urban air mobility is the issue of noise. The loud sound created by aircraft rotors can impact communities, making noise control an essential factor in gaining public acceptance and successful integration into existing transport systems.One approach gaining attention in this field is Distributed Electric Propulsion (DEP), where multiple small, electrically powered propellers are mounted along the wing of an aircraft. This configuration offers efficiency benefits but also introduces complex aerodynamic interactions between the propellers and the wing. These interactions can change the way air flows, influence propeller performance, and create additional noise challenges. Researchers are working to better understand how these factors combine, since propeller noise remains a significant barrier to wider adoption of DEP technology in urban air mobility.To address these issues, recent research has explored innovative noise reduction strategies for DEP systems. One promising method is electronically synchronizing the propellers, so that their movements are carefully coordinated. This technique, especially when applied to forward flight conditions, has the potential to reduce noise by adjusting the relative timing, or “phase,” of the propellers.This experimental campaign focuses on the effect of blade phase angle on noise attenuation in adjacent, electronically synchronized propellers. Tests were conducted in an aeroacoustic wind tunnel using a distributed electric propulsion setup, where the relative phase angle of two-bladed propellers was systematically varied between 0° and 90°. These measurements allows the exploration of noise suppression in DEP systems by identifying the optimum relative phase angle that yields the lowest noise level under forward flight operating conditions. The resulting dataset includes detailed acoustic measurements that capture how different synchronization settings influence rotor noise. These data provide valuable insights into propeller interaction effects and serve as a resource for advancing noise reduction strategies in DEP systems.© the author","url":"https://doi.org/10.17028/rd.lboro.30104626.v6","authors":["Turhan, Buda"],"tags":["Engineering"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.17028/rd.lboro.30104626.v6","addedAt":"2026-08-31T06:39:43.696Z","updatedAt":"2026-08-31T06:39:43.696Z"},{"id":"doi:10.17028/rd.lboro.30104626","name":"Dataset for Acoustic Characteristics of Phase-Synchronized Adjacent Propellers","source":"datacite","abstract":"In recent years, urban air mobility has emerged as a promising solution to the challenges of modern transportation. By using small aircraft to move people and goods within cities, it aims to reduce traffic congestion, cut down on pollution, and provide more sustainable travel options. The rapid growth of interest in this field has also driven significant improvements in rotor and aircraft design. However, one of the biggest hurdles facing urban air mobility is the issue of noise. The loud sound created by aircraft rotors can impact communities, making noise control an essential factor in gaining public acceptance and successful integration into existing transport systems.One approach gaining attention in this field is Distributed Electric Propulsion (DEP), where multiple small, electrically powered propellers are mounted along the wing of an aircraft. This configuration offers efficiency benefits but also introduces complex aerodynamic interactions between the propellers and the wing. These interactions can change the way air flows, influence propeller performance, and create additional noise challenges. Researchers are working to better understand how these factors combine, since propeller noise remains a significant barrier to wider adoption of DEP technology in urban air mobility.To address these issues, recent research has explored innovative noise reduction strategies for DEP systems. One promising method is electronically synchronizing the propellers, so that their movements are carefully coordinated. This technique, especially when applied to forward flight conditions, has the potential to reduce noise by adjusting the relative timing, or “phase,” of the propellers.This experimental campaign focuses on the effect of blade phase angle on noise attenuation in adjacent, electronically synchronized propellers. Tests were conducted in an aeroacoustic wind tunnel using a distributed electric propulsion setup, where the relative phase angle of two-bladed propellers was systematically varied between 0° and 90°. These measurements allows the exploration of noise suppression in DEP systems by identifying the optimum relative phase angle that yields the lowest noise level under forward flight operating conditions. The resulting dataset includes detailed acoustic measurements that capture how different synchronization settings influence rotor noise. These data provide valuable insights into propeller interaction effects and serve as a resource for advancing noise reduction strategies in DEP systems.© the author","url":"https://doi.org/10.17028/rd.lboro.30104626","authors":["Turhan, Buda"],"tags":["Engineering"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.17028/rd.lboro.30104626","addedAt":"2026-08-31T06:39:43.696Z","updatedAt":"2026-08-31T06:39:43.696Z"},{"id":"doi:10.13016/m2imba-acos","name":"ENHANCING DEMAND MODELING FOR ADVANCED AIR MOBILITY USING DATA-DRIVEN LEARNING AND NEUROSYMBOLIC AI","source":"datacite","abstract":"Advanced Air Mobility (AAM), including Urban Air Mobility (UAM) and Regional Air Mobility (RAM), faces fundamental challenges in demand modeling due to the absence of historical operational data, strong spatial and temporal heterogeneity in traveler behavior, and the dominance of black-box machine learning approaches that lack interpretability and behavioral grounding. These limitations restrict the reliability of demand forecasts for policy evaluation, infrastructure planning, and operational design. This dissertation addresses three interconnected challenges in AAM demand modeling: behaviorally grounded adoption modeling, structurally constrained data-driven demand estimation, and interpretable learning under uncertainty. First Contribution: A Generalized Cost of Trip (GCT) framework is developed to model AAM adoption by integrating monetary cost, travel time valuation, reliability, and perceived risk. The framework is evaluated across multiple spatial scales, including regional analyses in Tennessee for RAM and a high-resolution taxi-zone based New York City UAM case study. Results show that travel time and cost consistently dominate adoption decisions, while perceived risk plays a secondary role. The analysis reveals pronounced spatial and temporal heterogeneity in urban settings and identifies a consistent adoption threshold, indicating that travelers are significantly more likely to select AAM when air travel constitutes more than approximately 70\\% of total generalized trip cost. Second Contribution: To address the limitations of unconstrained data-driven modeling, learning-based methods are integrated with classical optimization and spatial interaction structures. A neural network–accelerated genetic algorithm is introduced to improve computational efficiency in air mobility planning problems involving airport selection and flight allocation. In addition, a machine-learning enhanced gravity model is proposed to capture non-linear spatial, socioeconomic, and transportation relationships that are not represented in traditional formulations, yielding substantial improvements in predictive accuracy and flow representation. Third Contribution: A Neurosymbolic demand modeling framework is proposed that embeds decision tree–derived symbolic rules within neural network architectures to jointly achieve predictive accuracy and interpretability. By incorporating human-interpretable structure into learning-based models, the framework improves robustness under data sparsity while enabling transparent reasoning about demand drivers.","url":"https://doi.org/10.13016/m2imba-acos","authors":["Acharya, Kamal"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.13016/m2imba-acos","addedAt":"2026-08-31T06:39:43.696Z","updatedAt":"2026-08-31T06:39:43.696Z"},{"id":"doi:10.5281/zenodo.20817050","name":"A high-frequency open dataset of urban mobility in València, Spain, spanning 2020–2025","source":"datacite","abstract":"A curated, 15-minute-resolution archive reconstructing the longitudinal record of four Valencia mobility feeds (road-network state, car and bicycle loop-detector intensity, and Valenbisi bike-sharing availability) that the official portals do not retain. The primary streams are sourced from the Ajuntament de Valencia open-data portal (CC-BY 4.0). A supplementary bundle, recovered from the city's legacy real-time open-data API, extends the car loop-detector record back to 2020 and thus through the first COVID-19 lockdown. The deposit also bundles an already-public air-quality and meteorology companion (hourly observations from the nine Generalitat Valenciana monitoring stations in the city, 2020-2025, CC-BY), harmonised and time-aligned with the mobility record for cross-domain reuse. The acquisition and validation code are released. See README.md for the full directory layout, schemas and quality caveats. Cite this dataset by its Zenodo DOI.","url":"https://doi.org/10.5281/zenodo.20817050","authors":["Ferri, Cèsar","Martí-Pérez, Félix","Martínez-Plumed, Fernando","Moros-Daval, Yael"],"tags":["urban mobility","open data","Valencia","bike-sharing","traffic","air quality","time series"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.20817050","addedAt":"2026-08-31T06:39:43.696Z","updatedAt":"2026-08-31T06:39:43.696Z"},{"id":"doi:10.5281/zenodo.20817049","name":"A high-frequency open dataset of urban mobility in València, Spain, spanning 2020–2025","source":"datacite","abstract":"A curated, 15-minute-resolution archive reconstructing the longitudinal record of four Valencia mobility feeds (road-network state, car and bicycle loop-detector intensity, and Valenbisi bike-sharing availability) that the official portals do not retain. The primary streams are sourced from the Ajuntament de Valencia open-data portal (CC-BY 4.0). A supplementary bundle, recovered from the city's legacy real-time open-data API, extends the car loop-detector record back to 2020 and thus through the first COVID-19 lockdown. The deposit also bundles an already-public air-quality and meteorology companion (hourly observations from the nine Generalitat Valenciana monitoring stations in the city, 2020-2025, CC-BY), harmonised and time-aligned with the mobility record for cross-domain reuse. The acquisition and validation code are released. See README.md for the full directory layout, schemas and quality caveats. Cite this dataset by its Zenodo DOI.","url":"https://doi.org/10.5281/zenodo.20817049","authors":["Ferri, Cèsar","Martí-Pérez, Félix","Martínez-Plumed, Fernando","Moros-Daval, Yael"],"tags":["urban mobility","open data","Valencia","bike-sharing","traffic","air quality","time series"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.20817049","addedAt":"2026-08-31T06:39:43.696Z","updatedAt":"2026-08-31T06:39:43.696Z"},{"id":"doi:10.48550/arxiv.2606.23008","name":"Scalable Online Flight Trajectory Optimization via Sequential Quadratic Programming for Urban Air Mobility in Ultra Low-Altitude Airspace","source":"datacite","abstract":"As Urban Air Mobility (UAM) scales toward high-density operations, generating collision-free trajectories within complex 3D cityscapes is a critical safety requirement. This paper proposes a scalable Sequential Quadratic Programming (SQP) framework that integrates geometric environmental constraints, operational limits, and vehicle dynamics within a single online trajectory optimization process. Rather than precomputing obstacle-free corridors ahead of time, our method encodes obstacle avoidance as live separating-hyperplane constraints regenerated at every solver iteration, so that dense urban geometry and full-DOF vehicle dynamics are resolved jointly and online as the reference and environment evolve. A variable-scale quadtree decomposition keeps computation bounded, enabling the framework to scale to city-wide environments while preserving real-time performance for high-speed flight. We validate the framework against conventional SQP, Iterative Linear Quadratic Regulator, and Differential Dynamic Programming across flights in five real-world urban centers, attaining 100% success and clearance rates on CPU-only hardware.","url":"https://doi.org/10.48550/arxiv.2606.23008","authors":["Rivera, Josue N.","Liang, Bohang","Lv, Chen","Wang, James"],"tags":["Systems and Control (eess.SY)","Emerging Technologies (cs.ET)","FOS: Electrical engineering, electronic engineering, information engineering","FOS: Computer and information sciences"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.48550/arxiv.2606.23008","addedAt":"2026-08-31T06:39:43.696Z","updatedAt":"2026-08-31T06:39:50.721Z"},{"id":"doi:10.20381/ruor-31854","name":"Intelligent Scheduling and Charging Optimization for CAEVs and UAVs in Urban Transportation Networks","source":"datacite","abstract":"Urban transportation systems are increasingly strained by congestion, air pollution, and greenhouse gas emissions, motivating the need for scalable and sustainable mobility solutions. Connected Autonomous Electric Vehicles (CAEVs) and Uncrewed Aerial Vehicles (UAVs) are key enablers of next generation intelligent transportation systems (ITS), yet their adoption remains constrained by limited battery capacity, fragmented charging infrastructure, and the absence of reliable coordination mechanisms under dynamic and heterogeneous conditions. Existing research often addresses individual charging technologies or isolated vehicle classes, leaving a gap in system-level coordination across ground and aerial platforms. This thesis addresses this gap by demonstrating that charging coordination, rather than charging technology alone, is a critical barrier to sustainable deployment of autonomous electric mobility. A scalable and interoperable three-layer charging network architecture is proposed to support static charging, dynamic wireless charging, and vehicle-to-vehicle (V2V) charging across heterogeneous charging node types. A hybrid coordination topology and unified handshake protocol enable interoperable charging discovery, reservation based scheduling, and execution while remaining compatible with existing communication infrastructure. Building on this architectural foundation, coordinated charging scheduling and trip planning mechanisms that consider both vehicle routing and charging resource allocation are developed using heuristic and learning-based approaches. Two heuristic strategies, Static Heuristic Charging Scheduling Policy (SH-CSP) and Dynamic Heuristic Charging Scheduling Policy (DH-CSP), provide interpretable baselines and handle early and late arrivals. To address scalability and non-stationary demand, Safety, Sustainability, and Scheduling-Aware Feasibility Enhanced Deep Deterministic Policy Gradient (SAFE-DDPG) is introduced to enable adaptive, real-time scheduling under heterogeneous charging conditions. Reliability and fairness are embedded as system-level properties within the architecture and scheduling framework. Simulation-based evaluation demonstrates charging reservation fulfillment rates approaching 98%, waiting time reductions of up to approximately 80% relative to heuristic baselines, and consistently high fairness across heterogeneous charging networks. Comparative evaluation against baseline deep reinforcement learning methods, including DDPG and TD3, and explainable artificial intelligence (XAI) techniques further validate effectiveness and interpretability. Overall, this thesis presents a unified, reliable, and scalable framework for intelligent scheduling and charging optimization through learning-based decision-making in next-generation urban transportation systems.","url":"https://doi.org/10.20381/ruor-31854","authors":["Shaikh, Palwasha Waheed"],"tags":["Connected Autonomous Electric Vehicles (CAEVs)","Uncrewed Aerial Vehicles (UAVs)","Intelligent Transportation Systems (ITS)","Charging Coordination","Charging Scheduling and Trip Planning","Deep Reinforcement Learning (DRL)","Deep Deterministic Policy Gradient (DDPG)","SAFE-DDPG"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.20381/ruor-31854","addedAt":"2026-08-31T06:39:43.696Z","updatedAt":"2026-08-31T06:39:43.696Z"},{"id":"doi:10.5281/zenodo.20794636","name":"The Transformative Impact of Digital Electronics on Modern  Communication Networks","source":"datacite","abstract":"Abstract The evolution from analog to digital electronics has fundamentally redefined the landscape of global communication. By replacing continuous analog signals with discrete binary representations, digital electronics has enabled higher data integrity, efficient error correction, and unprecedented scalability. This research article examines the critical role of digital components—specifically integrated circuits (ICs), microprocessors, and digital signal processors (DSPs)—in the development of modern telecommunications. We analyze the foundational shifts observed in the era leading up to 2019, highlighting the convergence of 5G deployment, IoT expansion, edge computing, and virtualized network architectures. The study concludes that digital electronics serves as the primary engine for network intelligence, facilitating the transition toward robust, self-optimizing, and hyper-connected communication ecosystems. Keywords: Digital Electronics, Telecommunications, 5G, IoT, Integrated Circuits, Signal Processing, Network Efficiency, SDN, NFV, Hardware-Rooted Security.. 1. Introduction Modern communication networks are the backbone of contemporary society. The rapid shift from analog to digital systems, which began in the late 20th century, has accelerated due to breakthroughs in semiconductor fabrication and digital logic design. As we approached the year 2020, the demand for higher bandwidth, lower latency, and massive device connectivity reached an inflection point, driven by the rollout of 5G wireless technology and the explosion of the Internet of Things (IoT). This transition represents more than a mere change in signal format; it is a fundamental shift in how information is synthesized, transmitted, and interpreted. Digital communication provides immunity against the noise and signal degradation that plagued analog systems, allowing for the reliable transmission of high-definition video, complex data sets, and real-time interactive services across vast distances. The digital revolution has essentially turned telecommunication networks into global distributed computing engines, where the hardware at every node is as critical as the medium connecting them. By replacing physical circuit switching with high-speed packet-switched digital architectures, operators gained the ability to prioritize traffic, manage congestion dynamically, and ensure quality of service (QoS) across heterogeneous networks. This shift moved the burden of switching from mechanical or electro-mechanical relays to high-speed solid-state logic. Furthermore, the ability to store data in digital buffers allowed for asynchronous communication, a luxury that analog systems could not provide. This paper explores the hardware-level innovations that enabled this seismic shift, focusing on how silicon-based logic revolutionized the reliability and throughput of global data transit. We also consider the socio-economic necessity of this shift: in an era of globalization, the ability to communicate instantly and reliably is a prerequisite for economic participation, making the digital infrastructure a public utility equivalent to electricity or water. Without the underlying robustness provided by digital error-correction and high-speed processing, the modern global economy would lack the stability required for electronic commerce and real-time financial markets. The transition from legacy analog trunks to high-density digital backbones also democratized information, as the cost per bit of transmission fell precipitously, allowing developing nations to leapfrog older technologies and integrate directly into the digital global economy. This democratization has fueled the rise of the digital creator economy, mobile banking in underserved regions, and global collaborative research networks, all of which are built upon the reliable, low-cost digital plumbing established in the previous decade. 2. Evolution of Digital Foundations The transition to digital electronics allo","url":"https://doi.org/10.5281/zenodo.20794636","authors":["Sudha Krishnappa Rampure"],"tags":["Digital Electronics, Telecommunications, 5G, IoT, Integrated Circuits, Signal Processing, Network Efficiency, SDN, NFV, Hardware-Rooted Security"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2020","doi":"10.5281/zenodo.20794636","addedAt":"2026-08-31T06:39:43.696Z","updatedAt":"2026-08-31T06:39:56.014Z"},{"id":"doi:10.5281/zenodo.20794637","name":"The Transformative Impact of Digital Electronics on Modern  Communication Networks","source":"datacite","abstract":"Abstract The evolution from analog to digital electronics has fundamentally redefined the landscape of global communication. By replacing continuous analog signals with discrete binary representations, digital electronics has enabled higher data integrity, efficient error correction, and unprecedented scalability. This research article examines the critical role of digital components—specifically integrated circuits (ICs), microprocessors, and digital signal processors (DSPs)—in the development of modern telecommunications. We analyze the foundational shifts observed in the era leading up to 2019, highlighting the convergence of 5G deployment, IoT expansion, edge computing, and virtualized network architectures. The study concludes that digital electronics serves as the primary engine for network intelligence, facilitating the transition toward robust, self-optimizing, and hyper-connected communication ecosystems. Keywords: Digital Electronics, Telecommunications, 5G, IoT, Integrated Circuits, Signal Processing, Network Efficiency, SDN, NFV, Hardware-Rooted Security.. 1. Introduction Modern communication networks are the backbone of contemporary society. The rapid shift from analog to digital systems, which began in the late 20th century, has accelerated due to breakthroughs in semiconductor fabrication and digital logic design. As we approached the year 2020, the demand for higher bandwidth, lower latency, and massive device connectivity reached an inflection point, driven by the rollout of 5G wireless technology and the explosion of the Internet of Things (IoT). This transition represents more than a mere change in signal format; it is a fundamental shift in how information is synthesized, transmitted, and interpreted. Digital communication provides immunity against the noise and signal degradation that plagued analog systems, allowing for the reliable transmission of high-definition video, complex data sets, and real-time interactive services across vast distances. The digital revolution has essentially turned telecommunication networks into global distributed computing engines, where the hardware at every node is as critical as the medium connecting them. By replacing physical circuit switching with high-speed packet-switched digital architectures, operators gained the ability to prioritize traffic, manage congestion dynamically, and ensure quality of service (QoS) across heterogeneous networks. This shift moved the burden of switching from mechanical or electro-mechanical relays to high-speed solid-state logic. Furthermore, the ability to store data in digital buffers allowed for asynchronous communication, a luxury that analog systems could not provide. This paper explores the hardware-level innovations that enabled this seismic shift, focusing on how silicon-based logic revolutionized the reliability and throughput of global data transit. We also consider the socio-economic necessity of this shift: in an era of globalization, the ability to communicate instantly and reliably is a prerequisite for economic participation, making the digital infrastructure a public utility equivalent to electricity or water. Without the underlying robustness provided by digital error-correction and high-speed processing, the modern global economy would lack the stability required for electronic commerce and real-time financial markets. The transition from legacy analog trunks to high-density digital backbones also democratized information, as the cost per bit of transmission fell precipitously, allowing developing nations to leapfrog older technologies and integrate directly into the digital global economy. This democratization has fueled the rise of the digital creator economy, mobile banking in underserved regions, and global collaborative research networks, all of which are built upon the reliable, low-cost digital plumbing established in the previous decade. 2. Evolution of Digital Foundations The transition to digital electronics allo","url":"https://doi.org/10.5281/zenodo.20794637","authors":["Sudha Krishnappa Rampure"],"tags":["Digital Electronics, Telecommunications, 5G, IoT, Integrated Circuits, Signal Processing, Network Efficiency, SDN, NFV, Hardware-Rooted Security"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2020","doi":"10.5281/zenodo.20794637","addedAt":"2026-08-31T06:39:43.696Z","updatedAt":"2026-08-31T06:39:56.014Z"},{"id":"doi:10.5281/zenodo.20753930","name":"Supplementary tables for Journal of Aerospace Technology and Management - Systematic Mapping of the Literature on Vertiport Location in Urban Environments","source":"datacite","abstract":"To map and synthesize research on locating urban vertiports for vertical takeoff and landing aircraft, including electrically powered variants. A systematic mapping review used a predefined protocol with research questions, selection criteria, and structured data extraction. In 2025, searches covered five themes: urban air mobility, location-allocation, optimization, network and routing, and vertical takeoff and landing aircraft across major scientific databases. From 1,056 records, duplicates were removed, and screening yielded 31 studies. Most studies propose mathematical optimization models, predominantly integer linear programming formulations solved with commercial optimization tools. Some incorporate vertiport capacity and socio-environmental criteria such as noise, land use, and equitable access, while others address only operational factors. Applications on real networks with observed demand data are common; specialized simulation is less frequent. Evaluations mainly report travel time, demand coverage, and costs, and often include sensitivity analyses and limited validation procedures. Research is progressing in modeling vertiport networks, but validation remains weakly standardized, and uncertainty treatment is still limited. Comparable evaluation protocols and stronger socio-environmental robustness are needed to better support planning decisions in advanced air mobility.","url":"https://doi.org/10.5281/zenodo.20753930","authors":["Freitas, John Heberty","Costa, Ronaldo Martins","Bandeira, Michelle Carvalho Galvão da Silva Pinto"],"tags":["Advanced air mobility","Electric vertical take-off and landing","Urban aviation","Location optimization","Systematic mapping review"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.20753930","addedAt":"2026-08-31T06:39:43.696Z","updatedAt":"2026-08-31T06:39:56.014Z"},{"id":"doi:10.5281/zenodo.20753929","name":"Supplementary tables for Journal of Aerospace Technology and Management - Systematic Mapping of the Literature on Vertiport Location in Urban Environments","source":"datacite","abstract":"To map and synthesize research on locating urban vertiports for vertical takeoff and landing aircraft, including electrically powered variants. A systematic mapping review used a predefined protocol with research questions, selection criteria, and structured data extraction. In 2025, searches covered five themes: urban air mobility, location-allocation, optimization, network and routing, and vertical takeoff and landing aircraft across major scientific databases. From 1,056 records, duplicates were removed, and screening yielded 31 studies. Most studies propose mathematical optimization models, predominantly integer linear programming formulations solved with commercial optimization tools. Some incorporate vertiport capacity and socio-environmental criteria such as noise, land use, and equitable access, while others address only operational factors. Applications on real networks with observed demand data are common; specialized simulation is less frequent. Evaluations mainly report travel time, demand coverage, and costs, and often include sensitivity analyses and limited validation procedures. Research is progressing in modeling vertiport networks, but validation remains weakly standardized, and uncertainty treatment is still limited. Comparable evaluation protocols and stronger socio-environmental robustness are needed to better support planning decisions in advanced air mobility.","url":"https://doi.org/10.5281/zenodo.20753929","authors":["Freitas, John Heberty","Costa, Ronaldo Martins","Bandeira, Michelle Carvalho Galvão da Silva Pinto"],"tags":["Advanced air mobility","Electric vertical take-off and landing","Urban aviation","Location optimization","Systematic mapping review"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.20753929","addedAt":"2026-08-31T06:39:43.696Z","updatedAt":"2026-08-31T06:39:56.014Z"},{"id":"doi:10.48577/jpl.u7xdqr","name":"Uncertainty-Aware Aircraft Trajectory Optimization Using Ensemble Forecasts and RRT-Based Planning","source":"datacite","abstract":"Air transportation is a critical component of modern mobility and will continue to grow with increasing demand, emerging urban air mobility systems, and autonomous delivery networks. Aircraft path planning plays a key role in ensuring safety and efficiency, particularly in the presence of wind fields, operational constraints, and hazardous weather. However, existing weather-avoidance methods typically rely on deterministic forecasts and conservative risk envelopes, limiting robustness under uncertainty and leading to suboptimal routing. This paper proposes an uncertainty-aware aircraft path planning framework that leverages ensemble weather forecasts from NOAA’s Warn-on-Forecast System (WoFS). The key contribution is the Ensemble Decision-Rollout RRT* (EDR-RRT*) framework, which evaluates discrete maneuver options using ensemble-based forecasts and selects actions that reduce weather exposure while preserving future rerouting flexibility. The system operates in a receding-horizon manner with continuous replanning as updated forecasts become available. Results using historical WoFS data show that EDR-RRT* improves adverse weather avoidance compared to deterministic and existing ensemble-based planners, while maintaining competitive route efficiency. Overall, the proposed framework produces better trajectories, improving aircraft routing under uncertain and rapidly evolving weather conditions.","url":"https://doi.org/10.48577/jpl.u7xdqr","authors":["Pinto, Alessandro"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.48577/jpl.u7xdqr","addedAt":"2026-08-31T06:39:43.696Z","updatedAt":"2026-08-31T06:39:43.696Z"},{"id":"doi:10.7282/t3-hnsj-rf78","name":"Airborne microplastics and PFAS: Distribution and interactions in the urban atmosphere","source":"datacite","abstract":"Microplastics (MPs) and per- and polyfluoroalkyl substances (PFAS) are persistent emerging contaminants of global concern due to their environmental persistence, mobility, and potential health risks. While their occurrence in aquatic and terrestrial environments has been widely studied, their presence, distribution, and interactions in the urban atmosphere remain poorly understood. This dissertation investigates the occurrence, characteristics, and interactions of airborne MPs and PFAS in northern New Jersey. It is hypothesized that airborne MPs can act as carriers for PFAS and that atmospheric aging processes enhance their adsorption capacity.Field sampling and laboratory analyses were conducted to characterize airborne MPs and PFAS across multiple environmental matrices, including indoor and outdoor air, particulate matter, wet deposition, and total deposition. Microplastic abundance, morphology, and polymer composition were determined, while PFAS concentrations and phase partitioning between gas and particulate phases were quantified. Laboratory experiments simulated atmospheric aging through cyclic temperature fluctuations (-20 °C to 45 °C) to evaluate changes in MP surface properties and their effects on PFAS adsorption.Results indicate that airborne MPs are widespread in both indoor and outdoor environments, with indoor deposition rates substantially higher than outdoor rates. Outdoor deposition rates were only 2-8% of indoor rates, highlighting indoor environments as a potentially important source of human exposure. Dominant polymer types included polyethylene (PE), polyethylene terephthalate (PET), polystyrene (PS), polyvinyl chloride (PVC), and polypropylene (PP). Airborne PFAS were detected in both gas and particulate phases, with the gas phase dominating atmospheric concentrations. The average gas-phase PFAS concentration was 197.7 ± 47.9 pg·m-3, approximately four times higher than the particle-phase concentration of 48.3 ± 47.9 pg·m-3, highlighting the importance of the gas phase in PFAS atmospheric transport. Laboratory aging experiments demonstrated that cyclic temperature fluctuations induced surface oxidation and microscale defects on PE microplastics, increasing PFAS adsorption on larger MPs by approximately 30-50%, particularly for mid- and long-chain PFAS.Overall, this dissertation provides a comprehensive assessment of airborne MPs and PFAS in an urban atmosphere. The results demonstrate that thermally aged microplastics can enhance PFAS adsorption and atmospheric transport, revealing an important pathway influencing the environmental fate and exposure risks of these contaminants.","url":"https://doi.org/10.7282/t3-hnsj-rf78","authors":["Yao, Ying"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.7282/t3-hnsj-rf78","addedAt":"2026-08-31T06:39:43.696Z","updatedAt":"2026-08-31T06:39:43.696Z"},{"id":"doi:10.1109/dasc50938.2020.9256435","name":"Continuous Testing and Deployment for Urban Air Mobility","source":"crossref","abstract":"","url":"https://doi.org/10.1109/dasc50938.2020.9256435","authors":["Michael Johnson","Darren Cummings","Bryan Leinwand","Chris Elsberry"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2020-11-18T17:04:08Z","doi":"10.1109/dasc50938.2020.9256435","addedAt":"2026-08-31T06:39:47.152Z","updatedAt":"2026-08-31T06:39:57.841Z"},{"id":"doi:10.2514/6.2023-2282","name":"High-Fidelity Simulations of a Tiltwing Vehicle for Urban Air Mobility","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2023-2282","authors":["David Garcia Perez","Patricia Ventura Diaz","Steven Yoon"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-01-21T06:59:16Z","doi":"10.2514/6.2023-2282","addedAt":"2026-08-31T06:39:47.152Z","updatedAt":"2026-08-31T06:39:57.841Z"},{"id":"doi:10.1115/gt2023-101597","name":"Dynamic Modeling and Degradation Study of a Hybrid Electric Power System for Urban Air Mobility","source":"crossref","abstract":"Abstract This investigation presents a model-based degradation study of a Hybrid Electric Propulsive System in parallel configuration for Urban Air Mobility. Literature studies on hybrid-electric aircraft are mainly devoted to the sizing and the management of hybrid systems and the energy flows are usually analyzed with a steady-state model applied to each flight phase while the role of hybridization in supporting the engine during transients has been only hinted at. In fact, the faster response of the electric drive can be used to stabilize the rotor shaft so that the dynamic response of a hybrid electric powertrain is quite different from a conventional configuration. To this scope, a complete model of the power system including the coaxial rotors, the mechanical connection, the turboshaft engine, the electric motors, and the battery is used in the present investigation. The inputs of the model are the pilot commands and the speed components of the rotorcraft. The model is used to highlight the degradation of the dynamic response as a consequence of component deterioration, with different degradation criteria, both on the thermal and the electric path. The results obtained in this work revealed how the torque contribution of the electric machine not only reduces fuel consumption and improves the dynamic response of the powertrain as already known in literature but also reduces the effect of engine deterioration on the performance of the power system. The outcome of the investigation is a dataset useful to train machine learning algorithms for the diagnostics and prediction of the state of health, especially considering the lack of experimental data in this field.","url":"https://doi.org/10.1115/gt2023-101597","authors":["Teresa Donateo","Antonio Ficarella","Ludovica Spada Chiodo"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-09-28T19:33:01Z","doi":"10.1115/gt2023-101597","addedAt":"2026-08-31T06:39:47.152Z","updatedAt":"2026-08-31T06:39:57.841Z"},{"id":"doi:10.65351/hsi24.021","name":"Pilot’s Roles in the Urban Air Mobility: Individual Capabilities for Safety and Security Enterprise Concerns","source":"crossref","abstract":"Safety and security are cross-cutting concerns of the Urban Air Mobility (UAM) ecosystem and critical for its future operations. Addressing those concerns requires an integrated approach, including stakeholders, people, processes, systems, and capabilities. While previous research has explored safety and security at the System-of-Systems (SoS) level, this paper embraces the Human Systems Integration (HSI) approach to investigate the pilot as an individual performer. In UAM’s early phases, the pilot is expected to be on board, controlling the vehicle and interacting with multiple systems and operators. This study employs the Unified Architecture Framework (UAF) to discern the pilot’s roles and capabilities consistent with the UAM as an enterprise. Results include views combining strategic resource exchanges and responsibilities associated with each pilot role. Lastly, we analyze the relationships among roles and capabilities and discuss the pilot’s critical capabilities for addressing situation awareness, security, and safety culture concerns. Leveraging the HSI approach allows for understanding the pilot’s perspective, facilitating informed decision-making, and fostering a culture of safety and security throughout the UAM ecosystem.","url":"https://doi.org/10.65351/hsi24.021","authors":["Raquel Hoffmann","Hidekazu Mishimura","Rodrigo Calhau"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-08-04T19:21:53Z","doi":"10.65351/hsi24.021","addedAt":"2026-08-31T06:39:47.152Z","updatedAt":"2026-08-31T06:39:57.841Z"},{"id":"doi:10.15394/jaaer.2020.1828","name":"Dynamic Delegated Corridors and 4D Required Navigation Performance for Urban Air Mobility (UAM) Airspace Integration","source":"crossref","abstract":"","url":"https://doi.org/10.15394/jaaer.2020.1828","authors":["Trong Nguyen"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2020-09-15T20:38:12Z","doi":"10.15394/jaaer.2020.1828","addedAt":"2026-08-31T06:39:47.152Z","updatedAt":"2026-08-31T06:39:57.841Z"},{"id":"doi:10.2514/6.2020-3256","name":"Scenario-based Demand Assessment of Urban Air Mobility in the Greater Munich Area","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2020-3256","authors":["Mengying Fu","Anna Straubinger","Julia Schaumeier"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2020-06-08T21:02:08Z","doi":"10.2514/6.2020-3256","addedAt":"2026-08-31T06:39:47.153Z","updatedAt":"2026-08-31T06:39:57.841Z"},{"id":"doi:10.2139/ssrn.5648586","name":"GRID-Routing: A Proposal for Massive Traffic Management in Urban Air Mobility","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.5648586","authors":["Víctor Blázquez","Iker Nebot","Aurelio Bermúdez","Rafael Casado","Enrique Hernández-Orallo","Carlos  T. Calafate"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-10-23T17:21:09Z","doi":"10.2139/ssrn.5648586","addedAt":"2026-08-31T06:39:47.153Z","updatedAt":"2026-08-31T06:39:57.841Z"},{"id":"doi:10.1109/itsc.2019.8916972","name":"The Prospects of on-demand Urban Air Mobility in Zurich, Switzerland","source":"crossref","abstract":"","url":"https://doi.org/10.1109/itsc.2019.8916972","authors":["Milos Balac","Raoul L. Rothfeld","Sebastian Horl"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2019-11-29T06:11:50Z","doi":"10.1109/itsc.2019.8916972","addedAt":"2026-08-31T06:39:47.153Z","updatedAt":"2026-08-31T06:39:57.841Z"},{"id":"doi:10.2514/6.2023-3671","name":"High-fidelity Analysis of Lift+Cruise VTOL Urban Air Mobility Concept Aircraft","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2023-3671","authors":["Yi Liu","Cameron T. Druyor","Li Wang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-06-08T15:36:49Z","doi":"10.2514/6.2023-3671","addedAt":"2026-08-31T06:39:47.153Z","updatedAt":"2026-08-31T06:39:57.841Z"},{"id":"doi:10.2139/ssrn.4970457","name":"Lighting Systems Design for Urban Air Mobility Vertiport: Critical Analysis and Experimental Validation","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.4970457","authors":["Moon Yong Ha","Ho Il Jang","Min-Su Lim","Chengzhang Lyu","Venkata Dinavahi"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-09-28T15:17:53Z","doi":"10.2139/ssrn.4970457","addedAt":"2026-08-31T06:39:47.153Z","updatedAt":"2026-08-31T06:39:57.841Z"},{"id":"doi:10.2514/6.2022-2946","name":"On Rotor Aeroacoustic Optimization for Urban Air Mobility","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2022-2946","authors":["Olívia L. Pinto","Gabriele Bossotto","Frederico Afonso","Fernando Lau"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2022-06-13T15:46:28Z","doi":"10.2514/6.2022-2946","addedAt":"2026-08-31T06:39:47.153Z","updatedAt":"2026-08-31T06:39:57.841Z"},{"id":"doi:10.1145/3308560.3317059","name":"Supporting Urban Air Mobility with Citizen Participatory Noise Sensing: A Concept","source":"crossref","abstract":"","url":"https://doi.org/10.1145/3308560.3317059","authors":["Hinnerk Eißfeldt"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2019-05-13T12:17:59Z","doi":"10.1145/3308560.3317059","addedAt":"2026-08-31T06:39:47.153Z","updatedAt":"2026-08-31T06:39:57.841Z"},{"id":"doi:10.2514/1.d0290","name":"Exploring General Aviation Pilot Perspectives on Proximate Urban Air Mobility Operations","source":"crossref","abstract":"","url":"https://doi.org/10.2514/1.d0290","authors":["Andrew S. Mendolia","Brock Lascara","Tracy Sanders"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2022-05-17T10:35:57Z","doi":"10.2514/1.d0290","addedAt":"2026-08-31T06:39:47.153Z","updatedAt":"2026-08-31T06:39:57.841Z"},{"id":"doi:10.1016/j.tranpol.2024.03.003","name":"Urban Air Mobility (UAM): Airport shuttles or city-taxis?","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.tranpol.2024.03.003","authors":["Pierluigi Coppola","Francesco De Fabiis","Fulvio Silvestri"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-03-04T12:05:14Z","doi":"10.1016/j.tranpol.2024.03.003","addedAt":"2026-08-31T06:39:47.153Z","updatedAt":"2026-08-31T06:39:57.841Z"},{"id":"doi:10.1109/dasc62030.2024.10749551","name":"Path Planning for Urban Air Mobility Considering Weather Conditions","source":"crossref","abstract":"","url":"https://doi.org/10.1109/dasc62030.2024.10749551","authors":["Soobin Lee","Eunji Kim","Hojong Baik"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-11-15T18:44:23Z","doi":"10.1109/dasc62030.2024.10749551","addedAt":"2026-08-31T06:39:47.153Z","updatedAt":"2026-08-31T06:39:57.841Z"},{"id":"doi:10.1109/icce59016.2024.10444151","name":"Communication Network Architecture with 6G Capabilities for Urban Air Mobility","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icce59016.2024.10444151","authors":["Saba Al-Rubaye","Christopher Conrad","Antonios Tsourdos"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-02-28T18:47:20Z","doi":"10.1109/icce59016.2024.10444151","addedAt":"2026-08-31T06:39:47.153Z","updatedAt":"2026-08-31T06:39:57.841Z"},{"id":"doi:10.2514/6.2019-2873","name":"Conceptual Design and Mission Analysis for eVTOL Urban Air Mobility Flight Vehicle Configurations","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2019-2873","authors":["Akshay R. Kadhiresan","Michael J. Duffy"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2019-06-15T09:37:16Z","doi":"10.2514/6.2019-2873","addedAt":"2026-08-31T06:39:47.153Z","updatedAt":"2026-08-31T06:39:57.841Z"},{"id":"doi:10.3390/drones6070179","name":"Urban Air Mobility: Systematic Review of Scientific Publications and Regulations for Vertiport Design and Operations","source":"crossref","abstract":"Novel electric aircraft designs coupled with intense efforts from academia, government and industry led to a paradigm shift in urban transportation by introducing UAM. While UAM promises to introduce a new mode of transport, it depends on ground infrastructure to operate safely and efficiently in a highly constrained urban environment. Due to its novelty, the research of UAM ground infrastructure is widely scattered. Therefore, this paper selects, categorizes and summarizes existing literature in a systematic fashion and strives to support the harmonization process of contributions made by industry, research and regulatory authorities. Through a document term matrix approach, we identified 49 Scopus-listed scientific publications (2016–2021) addressing the topic of UAM ground infrastructure with respect to airspace operation followed by design, location and network, throughput and capacity, ground operations, cost, safety, regulation, weather and lastly noise and security. Last listed topics from cost onwards appear to be substantially under-represented, but will be influencing current developments and challenges. This manuscript further presents regulatory considerations (Europe, U.S., international) and introduces additional noteworthy scientific publications and industry contributions. Initial uncertainties in naming UAM ground infrastructure seem to be overcome; vertiport is now being predominantly used when speaking about vertical take-off and landing UAM operations.","url":"https://doi.org/10.3390/drones6070179","authors":["Karolin Schweiger","Lukas Preis"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2022-07-19T23:10:22Z","doi":"10.3390/drones6070179","addedAt":"2026-08-31T06:39:47.153Z","updatedAt":"2026-08-31T06:39:56.012Z"},{"id":"doi:10.3390/app12147260","name":"A Vertiport Design Heuristic to Ensure Efficient Ground Operations for Urban Air Mobility","source":"crossref","abstract":"Urban Air Mobility is a novel concept of transportation with unknown market potential. Even in conservative estimates, thousands of operations could be expected on a single vertiport. This exceeds known heliport operations, which is the most comparable existing mode of transport—by far. Vertiport operations, in particular the dynamics on the airfield, are not well understood; in the following article, we want to address this research gap. By using means of agent-based simulation, the following design drivers were identified: peaks in demand, imbalance between arrivals and departures, pad operations and gate operations. We calculate a practical hourly capacity of 264 movements for our baseline scenario consisting of 4 pads, 12 gates and 20 stand. We are further able to shown that avoiding this peak and staying below a maximum imbalance between arrivals and departures of less than 33 ensures an average passenger delay of less than 3 min. Lastly, we present a parameter study varying the number of pads and gates, the length of approach/departure and boarding/de-boarding and the level of demand. The results of this study are aggregated into a graphical design heuristic displaying the interchangeability of the mentioned aspects.","url":"https://doi.org/10.3390/app12147260","authors":["Lukas Preis","Mirko Hornung"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2022-07-19T08:28:25Z","doi":"10.3390/app12147260","addedAt":"2026-08-31T06:39:47.153Z","updatedAt":"2026-08-31T06:39:57.841Z"},{"id":"doi:10.2514/6.2023-0545","name":"Effect of Airspace Characteristics on Urban Air Mobility Airspace Capacity","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2023-0545","authors":["William G. Cummings","Casey L. Denham","Jeremy C. Smith"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-01-20T21:50:50Z","doi":"10.2514/6.2023-0545","addedAt":"2026-08-31T06:39:47.153Z","updatedAt":"2026-08-31T06:39:57.841Z"},{"id":"doi:10.2514/6.2019-3625","name":"Online Flight Planner with Dynamic Obstacles for Urban Air Mobility","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2019-3625","authors":["Josh Bertram","Xuxi Yang","Marc W. Brittain","Peng Wei"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2019-06-15T13:37:16Z","doi":"10.2514/6.2019-3625","addedAt":"2026-08-31T06:39:47.153Z","updatedAt":"2026-08-31T06:39:57.841Z"},{"id":"doi:10.2514/6.2023-0546","name":"Theoretical and Simulated Capacity of Urban Air Mobility Airspace Characteristics","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2023-0546","authors":["Casey L. Denham","William G. Cummings","Jeremy C. Smith"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-01-21T02:50:50Z","doi":"10.2514/6.2023-0546","addedAt":"2026-08-31T06:39:47.153Z","updatedAt":"2026-08-31T06:39:57.841Z"},{"id":"doi:10.17307/wsc.v1i1.256","name":"Mixed-Reality and Traditional Flight Simulators for Urban Air Mobility Vehicles","source":"crossref","abstract":"The 2018 NASA Academy at Langley Research Center created proof-of-concept mixed reality (MR) and traditional simulators to enable quick vehicle concept prototyping and data collection for human factors studies. Urban Air Mobility (UAM) vehicle concepts were implemented as the focus for these simulators due to recent and dramatic rise in subject interest. The team used X-Plane 11 to model flight dynamics, and Unity for the virtual reality (VR) aspect of the MR simulator and to model the control panel in the traditional simulator. A physical version of the virtual control panel was also fabricated to provide haptic feedback to maintain the immersion for the MR simulator.","url":"https://doi.org/10.17307/wsc.v1i1.256","authors":["Keegan Bergman"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2019-03-30T15:26:02Z","doi":"10.17307/wsc.v1i1.256","addedAt":"2026-08-31T06:39:47.153Z","updatedAt":"2026-08-31T06:39:57.841Z"},{"id":"doi:10.1109/dcoss-iot58021.2023.00102","name":"A Fault-Tolerant Distributed Air-to-Ground Communication Architecture for Urban Air Mobility","source":"crossref","abstract":"","url":"https://doi.org/10.1109/dcoss-iot58021.2023.00102","authors":["Shashini Thamarasie Wanniarachchi","Volker Turau"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-09-27T17:31:41Z","doi":"10.1109/dcoss-iot58021.2023.00102","addedAt":"2026-08-31T06:39:47.153Z","updatedAt":"2026-08-31T06:39:57.841Z"},{"id":"doi:10.61511/stum.v2i1.2025.2276","name":"Mode ranking underpinning an urban mobility analysis: Urban mobility quality index case study","source":"crossref","abstract":"Background: This article proposes a model for evaluating the quality of public transportation modes. Methods: The Fuzzy-SAW method was used, combining fuzzy logic with the Simple Additive Weighting (SAW) technique. Applied to the city of Rio de Janeiro, the case study uses data from the Urban Mobility Quality Index (IQMU) collected in four rounds of research. The methodology translates users' subjective perceptions into objective indicators, allowing the ranking of transportation modes (metro, train, ferry, and bus) based on perceived quality. Finding: Safety and fare were the most influential criteria, with the metro emerging as the best-rated mode. The study emphasizes the relevance of multicriteria methods for complex decision-making in urban mobility. Conclusion: The application of the Fuzzy-SAW modeling method to complex decision-making contexts involving multiple variables and subjective criteria proved essential in providing a systematic framework for evaluating and selecting alternatives, supporting more rational, transparent, and justifiable decisions. In summary, by quantifying subjective perceptions, this study contributes to a better understanding of public transportation from the user's perspective, potentially impacting public policies on urban mobility regarding resource prioritization oriented towards use, responsiveness to user needs, and allowing for the evaluation of the effectiveness of these resources. This is a key factor for the development of more resilient, humanized, and sustainable cities, where mobility is a right accessible to all citizens. Novelty/Originality of this article: Using the hybrid Fuzzy-SAW method, it is possible to handle subjective and sparse multicriteria elements, expanding the capacity for criteria representation, as well as the accuracy of records in real representations.","url":"https://doi.org/10.61511/stum.v2i1.2025.2276","authors":["Marcelo Prado Sucena","Marcus Vinícius Quintella Cury"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-06-03T02:42:58Z","doi":"10.61511/stum.v2i1.2025.2276","addedAt":"2026-08-31T06:39:47.153Z","updatedAt":"2026-08-31T06:39:57.841Z"},{"id":"doi:10.58940/2329-258x.2090","name":"Analysis of Public Acceptance of Urban Air Mobility (UAM) Based on Air Travel Frequency","source":"crossref","abstract":"Urban Air Mobility (UAM) is an innovative air transportation system designed for efficient travel in urban and suburban areas, offering significant time saving compared to traditional ground transportation. However, concerns about UAM services, such as safety and noise, remain prominent. Understanding public acceptance of UAM is crucial to identifying potential customers and ensuring the sustainability of commercial UAM operations. This study utilizes an online survey from a total of 254 consumer attitudes on the scales of reliability, usefulness, behavioral intention, safety, and concerns to examine public acceptance of UAM based on people's air travel frequencies. Using a one-way ANOVA, the results revealed a significant difference in public acceptance of UAM based on air travel frequency. People with more air travel frequency tend to show a more positive public acceptance of UAM than others with less air travel experience. This study provides the most recent public acceptance of UAM and helps to understand how air travel frequency impacts public acceptance of UAM.","url":"https://doi.org/10.58940/2329-258x.2090","authors":["Seuggyun Jin","Kim O. Chambers"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-04-24T18:28:52Z","doi":"10.58940/2329-258x.2090","addedAt":"2026-08-31T06:39:47.153Z","updatedAt":"2026-08-31T06:39:57.841Z"},{"id":"doi:10.1109/tiv.2024.3426915","name":"A Risk Assessment Method for Mid-Air Collisions in Urban Air Mobility Operations","source":"crossref","abstract":"","url":"https://doi.org/10.1109/tiv.2024.3426915","authors":["Yu Su","Yan Xu"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-07-15T14:48:59Z","doi":"10.1109/tiv.2024.3426915","addedAt":"2026-08-31T06:39:47.153Z","updatedAt":"2026-08-31T06:39:57.841Z"},{"id":"doi:10.1007/978-3-031-31746-0_11","name":"Urban Airspace Route Planning for Advanced Air Mobility Operations","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-031-31746-0_11","authors":["Xi Wang","Perry Pei-Ju Yang","Michael Balchanos","Dimitri Mavris"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-06-02T12:52:28Z","doi":"10.1007/978-3-031-31746-0_11","addedAt":"2026-08-31T06:39:47.153Z","updatedAt":"2026-08-31T06:39:57.841Z"},{"id":"doi:10.1016/b978-0-12-815038-2.00001-3","name":"Introduction – Urban Mobility Design","source":"crossref","abstract":"","url":"https://doi.org/10.1016/b978-0-12-815038-2.00001-3","authors":["Selby Coxon","Robbie Napper","Mark Richardson"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2019-01-11T23:19:15Z","doi":"10.1016/b978-0-12-815038-2.00001-3","addedAt":"2026-08-31T06:39:47.153Z","updatedAt":"2026-08-31T06:39:57.841Z"},{"id":"doi:10.3917/bru.rende.2020.01.0047","name":"La mobilité urbaine / Urban Mobility","source":"crossref","abstract":"","url":"https://doi.org/10.3917/bru.rende.2020.01.0047","authors":["Valérie Defago Gaudin"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-07-28T08:03:51Z","doi":"10.3917/bru.rende.2020.01.0047","addedAt":"2026-08-31T06:39:47.153Z","updatedAt":"2026-08-31T06:39:57.841Z"},{"id":"doi:10.1201/9781003605539-1","name":"Smart Urban Mobility Innovations","source":"crossref","abstract":"","url":"https://doi.org/10.1201/9781003605539-1","authors":["Tan Yigitcanlar"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-06-18T13:17:51Z","doi":"10.1201/9781003605539-1","addedAt":"2026-08-31T06:39:47.153Z","updatedAt":"2026-08-31T06:39:57.841Z"},{"id":"doi:10.1108/9780857246127-004","name":"Configuration of Quality Factors in Urban Mobility Systems","source":"crossref","abstract":"","url":"https://doi.org/10.1108/9780857246127-004","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2016-01-29T06:15:49Z","doi":"10.1108/9780857246127-004","addedAt":"2026-08-31T06:39:47.153Z","updatedAt":"2026-08-31T06:39:57.841Z"},{"id":"doi:10.3917/bru.rende.2020.01.0213","name":"La mobilité urbaine / Urban Mobility","source":"crossref","abstract":"","url":"https://doi.org/10.3917/bru.rende.2020.01.0213","authors":["Judith Gifreu Font"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-07-28T08:03:51Z","doi":"10.3917/bru.rende.2020.01.0213","addedAt":"2026-08-31T06:39:47.153Z","updatedAt":"2026-08-31T06:39:57.841Z"},{"id":"doi:10.3917/bru.rende.2020.01.0111","name":"La mobilité urbaine / Urban Mobility","source":"crossref","abstract":"","url":"https://doi.org/10.3917/bru.rende.2020.01.0111","authors":["Jacqueline Morand-Deviller"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-07-28T08:03:51Z","doi":"10.3917/bru.rende.2020.01.0111","addedAt":"2026-08-31T06:39:47.153Z","updatedAt":"2026-08-31T06:39:57.841Z"},{"id":"doi:10.1016/b978-0-12-820717-8.00011-7","name":"The new challenge of smart urban mobility","source":"crossref","abstract":"","url":"https://doi.org/10.1016/b978-0-12-820717-8.00011-7","authors":["Ivana Cavar Semanjski"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-02-17T12:53:44Z","doi":"10.1016/b978-0-12-820717-8.00011-7","addedAt":"2026-08-31T06:39:47.153Z","updatedAt":"2026-08-31T06:39:57.841Z"},{"id":"doi:10.1016/j.rser.2014.11.022","name":"Urban air pollution and urban daily mobility in large Tunisia׳s cities","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.rser.2014.11.022","authors":["Rafaa Mraihi","Riadh Harizi","Talel Mraihi","Mohamed Taoufik Bouzidi"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2014-11-26T02:30:29Z","doi":"10.1016/j.rser.2014.11.022","addedAt":"2026-08-31T06:39:47.153Z","updatedAt":"2026-08-31T06:39:57.841Z"},{"id":"doi:10.5040/9798400608797.ch-003","name":"Air Mobility Rationales under the \"New Look\" Policy","source":"crossref","abstract":"","url":"https://doi.org/10.5040/9798400608797.ch-003","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-02-22T11:13:20Z","doi":"10.5040/9798400608797.ch-003","addedAt":"2026-08-31T06:39:47.153Z","updatedAt":"2026-08-31T06:39:57.841Z"},{"id":"doi:10.3390/drones9100692","name":"Mapping the Integration of Urban Air Mobility into the Built Environment: A Bibliometric Analysis and a Scoping Review","source":"crossref","abstract":"Urban Air Mobility (UAM) has the potential to revolutionize urban transportation, largely with the deployment of Unmanned Aerial Vehicles (UAVs), commonly known as drones. After an initial stage focused on technology requirements, research is now shifting toward investigating operational requirements, which are unavoidably affected by urban characteristics. This study aims to explore the implementation of UAM services within urban environments by mapping the current scientific landscape from a city-focused perspective. Following a systematic search procedure, a bibliometric analysis was conducted on studies published between 2010 and 2024, examining over 350 articles that address UAM and urban-related topics. Trends in publication volume and scientific impact were analysed, along with influential manuscripts, collaborations, and leading countries in the field. Through a keyword co-occurrence analysis, five main research themes were identified: air traffic management, risk assessment, environmental factors (wind and noise), and vertiport location. These themes were further explored through a scoping review to assess current research and emerging directions. The findings highlight that urban characteristics are not just operational constraints but also fundamental elements that shape UAM strategies, influencing UAV path planning, safety, environmental constraints, and infrastructure design. Future research directions include the development of urban digital twins, comprehensive urban spatial databases, and multi-objective optimization frameworks to support the effective implementation of UAM into cities.","url":"https://doi.org/10.3390/drones9100692","authors":["Ludovica Maria Campagna","Francesco Carlucci","Francesco Fiorito","Erika Rosella Marinelli","Michele Ottomanelli","Mario Marinelli"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-10-10T13:47:08Z","doi":"10.3390/drones9100692","addedAt":"2026-08-31T06:39:47.153Z","updatedAt":"2026-08-31T06:39:56.013Z"},{"id":"doi:10.1002/9781394359325.ch09","name":"The Future of Advanced Air Mobility","source":"crossref","abstract":"","url":"https://doi.org/10.1002/9781394359325.ch09","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-08-19T13:30:21Z","doi":"10.1002/9781394359325.ch09","addedAt":"2026-08-31T06:39:47.153Z","updatedAt":"2026-08-31T06:39:57.841Z"},{"id":"doi:10.1002/9781394359325.ch08","name":"Business Logic of Advanced Air Mobility","source":"crossref","abstract":"","url":"https://doi.org/10.1002/9781394359325.ch08","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-08-19T13:30:21Z","doi":"10.1002/9781394359325.ch08","addedAt":"2026-08-31T06:39:47.153Z","updatedAt":"2026-08-31T06:39:57.841Z"},{"id":"doi:10.2514/6.2023-3263","name":"Estimating Throughput for Urban Air Mobility Operations","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2023-3263","authors":["Hanbong Lee","Robert D. Windhorst","Todd A. Lauderdale","Andrew Cone","Kushal A. Moolchandani"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-06-08T11:36:49Z","doi":"10.2514/6.2023-3263","addedAt":"2026-08-31T06:39:47.153Z","updatedAt":"2026-08-31T06:39:57.841Z"},{"id":"doi:10.4050/f-0081-2025-0069","name":"Multifidelity Multipoint Proprotor Blade Optimization for Urban Air Mobility","source":"crossref","abstract":"A multifidelity, multipoint aerodynamic blade shape optimization was conducted to design a realistic, full-sized proprotor, representative of recent industry tiltrotor and lift+cruise UAM vehicle designs. The proprotor was designed to achieve a disk loading of 8 psf in hover at sea level standard day and 1.9 psf in cruise at an altitude of 4000 ft above ground level with a multipoint efficiency optimization target. A low-fidelity optimization was first conducted using a differential evolution algorithm with CAMRAD II's uniform inflow model, followed by a mid-fidelity trim using CAMRAD II's nonuniform inflow and free-wake models, a high-fidelity verification using a hybrid RANS/LES approach in FUN3D, and finally a high-fidelity optimization on the low-fidelity optimized blade shape with a gradient-based method using a uRANS approach in FUN3D. The low-fidelity optimization resulted in a proprotor that achieved a hover figure of merit of 0.830 and a propulsive efficiency in cruise of 0.904. Results from the low-fidelity optimization, mid-fidelity trim, and high-fidelity verification were compared to highlight differences in predicted blade span loading and aerodynamic efficiency between the different aerodynamic solvers. It was shown that the low-fidelity solver compared least favorably with the high-fidelity aerodynamic solver. Lastly, the high-fidelity optimization further reduced the torque in cruise by approximately 75 ft-lb, with negligible changes in hover figure of merit and propulsive efficiency in cruise. Negligible blade shape differences were observed between the low-fidelity optimized design and the results from the sequential high-fidelity optimization with the largest difference being collective pitch in both hover and cruise, respectively.","url":"https://doi.org/10.4050/f-0081-2025-0069","authors":["Christopher Thurman","Li Wang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-04-10T16:56:52Z","doi":"10.4050/f-0081-2025-0069","addedAt":"2026-08-31T06:39:47.153Z","updatedAt":"2026-08-31T06:39:57.841Z"},{"id":"doi:10.2514/6.2024-4005","name":"Autonomous Conflict Resolution in Urban Air Mobility: A Deep Multi-Agent Reinforcement Learning Approach","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2024-4005","authors":["Sabrullah Deniz","Zhenbo Wang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-09-20T08:30:37Z","doi":"10.2514/6.2024-4005","addedAt":"2026-08-31T06:39:47.153Z","updatedAt":"2026-08-31T06:39:57.841Z"},{"id":"doi:10.2514/6.2022-3872","name":"Preliminary Design of Wind-Aware sUAS Simulation Pipeline for Urban Air Mobility","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2022-3872","authors":["Asma Tabassum","Max DeSantis","He Bai","Nicoletta Fala"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2022-06-21T03:07:36Z","doi":"10.2514/6.2022-3872","addedAt":"2026-08-31T06:39:47.153Z","updatedAt":"2026-08-31T06:39:57.841Z"},{"id":"doi:10.2514/6.2022-1031","name":"Wake Vortex Interaction of Urban Air Mobility Aircraft","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2022-1031","authors":["Nhan T. Nguyen","Graeson Bartolini","Joshua E. Baculi","Wendy Okolo","Juntao Xiong"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2022-01-04T06:25:25Z","doi":"10.2514/6.2022-1031","addedAt":"2026-08-31T06:39:47.153Z","updatedAt":"2026-08-31T06:39:57.841Z"},{"id":"doi:10.2139/ssrn.6915852","name":"Urban Air Mobility for Emergency Medical Services: A Cost-Timeliness-Equity Multi-Objective Model for Vertiport Siting","source":"crossref","abstract":"Deploying vertiports to support low-altitude emergency medical services is a crucial direction for urban air mobility. However, existing research on vertiport siting mostly focuses on general urban air mobility scenarios, leaving a significant gap in scenario-specific adaptation for low-altitude emergency medical services. Taking Wuhan, a megacity, as an empirical case, this study constructs a multi-objective optimization model for vertiport siting that integrates construction cost, emergency response timeliness, and spatial equity. It proposes an EMS-adapted NSGA-III algorithm tailored to emergency medical scenarios. A comparative experiment conducted under unified parameter configurations against native NSGA-II and NSGA-III algorithms verifies that the proposed algorithm achieves 100% hard constraint satisfaction in the first generation; its Pareto frontier uniformity is significantly superior to the two baseline algorithms, with faster convergence speed and greater result robustness. The approximately 4% reduction in hypervolume compared to the native NSGA-II is a designed performance trade-off, actively abandoning extreme solutions with no practical engineering value. The results demonstrate that the optimized solution achieves full coverage of the 4-minute golden rescue window for Level I patients in core high-demand areas and significantly outperforms the traditional ground-based mode in emergency response timeliness. This study provides scientific support for the planning of low-altitude emergency medical networks in megacities.","url":"https://doi.org/10.2139/ssrn.6915852","authors":["Yang Yang","Chong Peng","Mengjie Zhang","Zuopeng Xiao","Jianzhong Huang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-06-11T11:27:31Z","doi":"10.2139/ssrn.6915852","addedAt":"2026-08-31T06:39:47.153Z","updatedAt":"2026-08-31T06:39:57.841Z"},{"id":"doi:10.1515/eng-2022-0379","name":"Urban air mobility and flying cars: Overview, examples, prospects, drawbacks, and solutions","source":"crossref","abstract":"Abstract Transportation in cities may undergo substantial changes due to two emerging technologies that enable three-dimensional movement of people or cargo. These emerging technologies are urban air mobility (UAM) and flying cars. The present study gives an overview of both technologies, differences and similarities between them, challenges they face, the opportunities they bring, and examples for them with varying stages of readiness from being commercially available to being a concept in development having a small-scale prototype. The models covered here include EHang 216 (UAM aircraft), VoloCity (UAM aircraft), PAL-V Liberty Sport (flying car), and ASKA (flying car). Focusing on air taxis (or flying taxis) in the form of a fleet of piloted or autonomous electric vertical takeoff and landing aircraft operated commercially by a corporation that provides mobility as a service, a discussion about the prospects of this nontraditional mode of transportation is provided, with anticipated drawbacks and proposed solutions.","url":"https://doi.org/10.1515/eng-2022-0379","authors":["Osama A. Marzouk"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2022-11-11T16:47:40Z","doi":"10.1515/eng-2022-0379","addedAt":"2026-08-31T06:39:47.153Z","updatedAt":"2026-08-31T06:39:57.841Z"},{"id":"doi:10.3390/drones6020028","name":"Implementing Mitigations for Improving Societal Acceptance of Urban Air Mobility","source":"crossref","abstract":"The continuous development of technical innovations provides the opportunity to create new economic markets and a wealth of new services. However, these innovations sometimes raise concerns, notably in terms of societal, safety, and environmental impacts. This is the case for services related to the operation of unmanned aerial vehicles (UAV), which are emerging rapidly. Unmanned aerial vehicles, also called drones, date back to the first third of the twentieth century in aviation industry, when they were mostly used for military purposes. Nowadays, drones of various types and sizes are used for many purposes, such as precision agriculture, search and rescue missions, aerial photography, shipping and delivery, etc. Starting to operate in areas with low population density, drones are now looking for business in urban and suburban areas, in what is called urban air mobility (UAM). However, this rapid growth of the drone industry creates psychological fear of the unknown in some parts of society. Reducing this fear will play an important role in public acceptance of drone operations in urban areas. This paper presents the main concerns of society with regard to drone operations, as already captured in some public surveys, and proposes a list of mitigation measures to reduce these concerns. The proposed list is then analyzed, and its applicability to individual, urban, very large demonstration flights is explained, using the feedback from the CORUS-XUAM project. CORUS-XUAM will organize a set of very large drone flight demonstrations across seven European countries to investigate how to safely integrate drone operations into airspace with the support of the U-space.","url":"https://doi.org/10.3390/drones6020028","authors":["Ender Çetin","Alicia Cano","Robin Deransy","Sergi Tres","Cristina Barrado"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2022-01-18T08:09:20Z","doi":"10.3390/drones6020028","addedAt":"2026-08-31T06:39:47.153Z","updatedAt":"2026-08-31T06:39:57.841Z"},{"id":"doi:10.2514/6.2023-1558.c1","name":"Correction: Wake Vortex Effects Between Urban Air Mobility Aircraft","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2023-1558.c1","authors":["Joshua E. Baculi","Nhan T. Nguyen","Wendy Okolo","Juntao Xiong"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-03-01T14:01:30Z","doi":"10.2514/6.2023-1558.c1","addedAt":"2026-08-31T06:39:47.153Z","updatedAt":"2026-08-31T06:39:57.841Z"},{"id":"doi:10.1109/sose59841.2023.10178495","name":"An Urban Air Mobility System of Systems UAF &amp; MDAO Application Case","source":"crossref","abstract":"","url":"https://doi.org/10.1109/sose59841.2023.10178495","authors":["Carlos GARCÍA RUBIO","Thomas RIGAUT"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-07-17T13:35:41Z","doi":"10.1109/sose59841.2023.10178495","addedAt":"2026-08-31T06:39:47.153Z","updatedAt":"2026-08-31T06:39:57.841Z"},{"id":"doi:10.2514/6.2024-3335","name":"Efficient noise footprint computation for urban air mobility maneuvers in vertiport environments","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2024-3335","authors":["Furkat Yunus","Carmine Varriale","Mirjam Snellen"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-05-30T19:51:36Z","doi":"10.2514/6.2024-3335","addedAt":"2026-08-31T06:39:47.153Z","updatedAt":"2026-08-31T06:39:57.841Z"},{"id":"doi:10.1109/dasc55683.2022.9925838","name":"A Flight Replanning Tool for Terminal Area Urban Air Mobility Operations","source":"openalex","abstract":"In this paper we describe and evaluate a flight replanning tool, called the trial planner, for terminal area air transport applications. The trial planner employs predefined airspace structures to generate rerouting options between vertiports. In a simplified definition, vertiports are facilities that provide services for managing the take-off and landing of autonomous or manned electric vertical take-off or landing (eVTOL) aircraft. The airspace structures involved in our test cases are arrival routes that consisting of predefined entry points to which a transitional path is computed dynamically from the current position of the aircraft. Rerouting options include both the transitional path and approach segment along the arrival route. These rerouting options are not vetted for potential conflicts with other operations until a human operator commits to a choice and forwards the flight plan modification for approval from an automated airspace management service. A selected rerouting option is executed by loading a flight plan file to the aircraft ground control station. We conducted a qualitative evaluation of the trial planner using ratings provided by flight crews and air transportation human factors experts with relevant experience from air traffic control. The trial-planner was evaluated against operator rated trust in the route recommendations and rated adequacy of the explanations for the route options. In this paper, we detail the logic and implementation of the trial planner, as well as report the results of the evaluation of the implementation herein.","url":"https://doi.org/10.1109/dasc55683.2022.9925838","authors":["Anne S. Suzuki","Quang V. Dao","Quang Dao"],"tags":["Planner","Flight plan","Terminal (telecommunication)","Air traffic control","Path (computing)"],"confidence":0.72,"sites":["low-altitude"],"publishedDate":"2022-09-18","doi":"10.1109/dasc55683.2022.9925838","addedAt":"2026-08-31T06:39:47.153Z","updatedAt":"2026-08-31T14:45:35.251Z"},{"id":"doi:10.2514/6.2022-3402","name":"Challenges and Decisions for Near-term Integration of Urban Air Mobility (UAM) Operations","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2022-3402","authors":["Lakshmi Vempati","Maria V. Geffard","Andy Anderegg"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2022-06-21T07:07:36Z","doi":"10.2514/6.2022-3402","addedAt":"2026-08-31T06:39:47.153Z","updatedAt":"2026-08-31T06:39:57.841Z"},{"id":"doi:10.1109/icuas57906.2023.10156184","name":"Implementing Urban Air Mobility in a Multi-Level Regulatory Framework: Perspectives from the EU","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icuas57906.2023.10156184","authors":["M. Barbano","V. Costa"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-06-26T18:08:46Z","doi":"10.1109/icuas57906.2023.10156184","addedAt":"2026-08-31T06:39:47.153Z","updatedAt":"2026-08-31T06:39:57.841Z"},{"id":"doi:10.1016/j.urbmob.2023.100068","name":"Transforming urban mobility and public space through slow streets. A stakeholder approach","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.urbmob.2023.100068","authors":["Thérèse Bajada","Wendy-Jo Mifsud","Sarah Scheiber"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-11-25T12:33:47Z","doi":"10.1016/j.urbmob.2023.100068","addedAt":"2026-08-31T06:39:47.153Z","updatedAt":"2026-08-31T06:39:57.841Z"},{"id":"doi:10.2514/6.2025-3520","name":"Physics-Informed Neural Networks for Trajectory Prediction and Uncertainty Quantification in Urban Air Mobility","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2025-3520","authors":["Alice Inbaraj","Jun Chen"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-07-16T21:24:43Z","doi":"10.2514/6.2025-3520","addedAt":"2026-08-31T06:39:47.153Z","updatedAt":"2026-08-31T06:39:57.841Z"},{"id":"doi:10.1109/vtc2024-spring62846.2024.10683119","name":"Knowledge Distillation-Based Learning Model Propagation for Urban Air Mobility","source":"crossref","abstract":"","url":"https://doi.org/10.1109/vtc2024-spring62846.2024.10683119","authors":["Kai Xiong","Juefei Xie","Zhihong Wang","Supeng Leng"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-09-25T17:28:12Z","doi":"10.1109/vtc2024-spring62846.2024.10683119","addedAt":"2026-08-31T06:39:47.153Z","updatedAt":"2026-08-31T06:39:57.841Z"},{"id":"doi:10.2514/6.2021-0881","name":"A Physics-Based Spatial Wake Interactional Model of Fixed-Wing Aircraft and Rotorcraft for Urban Air Mobility","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2021-0881","authors":["Nhan T. Nguyen"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2021-01-05T02:59:38Z","doi":"10.2514/6.2021-0881","addedAt":"2026-08-31T06:39:47.153Z","updatedAt":"2026-08-31T06:39:57.841Z"},{"id":"doi:10.2514/6.2023-1683","name":"Unified Development Study from Conceptual to Detailed Structural Design for Urban Air Mobility","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2023-1683","authors":["Vishal D. Savane","Torsten Moecker","Martin Dreau"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-01-21T01:55:28Z","doi":"10.2514/6.2023-1683","addedAt":"2026-08-31T06:39:47.153Z","updatedAt":"2026-08-31T06:39:57.841Z"},{"id":"doi:10.2514/6.2022-0889","name":"Testing for Certification of Urban Air Mobility Vehicles","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2022-0889","authors":["David G. Mitchell","David H. Klyde","Martin Shubert","David Sizoo","Ross Schaller"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2022-01-03T21:30:33Z","doi":"10.2514/6.2022-0889","addedAt":"2026-08-31T06:39:47.153Z","updatedAt":"2026-08-31T06:39:57.841Z"},{"id":"doi:10.2139/ssrn.7288424","name":"Reinforcement learning for conflict-free rescheduling of on-demand urban air mobility: limits imposed by separation requirements and demand concentration","source":"crossref","abstract":"Urban Air Mobility is expected to combine scheduled and on-demand services, with requests entering an already deconflicted plan during the operating day. This is formulated as departure-delay repair over four-dimensional trajectories for São Paulo: flights conflict when their routes share a named waypoint and cross it within a threshold, requests are served as they become known, and flights within 15 minutes of departure are fixed. One iteration of approximate policy iteration yields a repair policy: a rollout lookahead improves on myopic rules and a network approximates it, cutting added repair delay by 2,642 min per day against the strongest rule over 30 paired replications (95% confidence interval [-3,158, -2,127]) at 0.90 ms per decision, with no residual conflict under global validation. Reward alone never matched those rules, so improvement, not reward, produces the reduction; the policy uses 2 of 15 actions, choosing only which of two flights absorbs the smallest delay. Three conditions exogenous to the repair policy are then varied. On 10 shared scenarios the separation threshold changes repair delay 27-fold, and relaxing it from five to three minutes saves 2,773 min per day against the 2,415 min the distilled policy saves at five; concentrating origin-destination demand reverses the policy advantage; and delay per request rises from 13.69 to 1,464.42 min from 100 to 1,000 daily flights. A clairvoyant reference stays far below every policy; the criterion is a waypoint-time condition, not separation assurance in flight.","url":"https://doi.org/10.2139/ssrn.7288424","authors":["Lucas  Orbolato Carvalho","Mayara  Condé Rocha Murça"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-08-15T11:18:49Z","doi":"10.2139/ssrn.7288424","addedAt":"2026-08-31T06:39:47.153Z","updatedAt":"2026-08-31T06:39:57.841Z"},{"id":"doi:10.2514/6.2025-0319","name":"Dual Virtual Target-Based Polynomial Curve Fitting Guidance for Urban Air Mobility Path Following","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2025-0319","authors":["Jiho Han","Dongwoo Lee","Hyochoong Bang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-02-12T09:44:16Z","doi":"10.2514/6.2025-0319","addedAt":"2026-08-31T06:39:47.153Z","updatedAt":"2026-08-31T06:39:57.841Z"},{"id":"doi:10.1109/ictc55196.2022.9952749","name":"A Study on Communication Technologies for Urban Air Mobility","source":"crossref","abstract":"","url":"https://doi.org/10.1109/ictc55196.2022.9952749","authors":["JungSook Bae","Hyun Lee","Heesoo Lee"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2022-11-25T17:41:09Z","doi":"10.1109/ictc55196.2022.9952749","addedAt":"2026-08-31T06:39:47.153Z","updatedAt":"2026-08-31T06:39:57.841Z"},{"id":"doi:10.1109/dasc52595.2021.9594358","name":"Assessing Human-Automation Role Challenges for Urban Air Mobility (UAM) Operations","source":"crossref","abstract":"","url":"https://doi.org/10.1109/dasc52595.2021.9594358","authors":["Lakshmi Vempati","Maria Geffard","Alfred Anderegg"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2021-11-15T22:56:19Z","doi":"10.1109/dasc52595.2021.9594358","addedAt":"2026-08-31T06:39:47.153Z","updatedAt":"2026-08-31T06:39:57.841Z"},{"id":"doi:10.1109/dasc43569.2019.9081808","name":"Security Challenges of Vehicle Recovery for Urban Air Mobility Contexts","source":"crossref","abstract":"","url":"https://doi.org/10.1109/dasc43569.2019.9081808","authors":["Jean Aimé Maxa","Raphael Blaize","Sebastien Longuy"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2020-04-30T21:22:38Z","doi":"10.1109/dasc43569.2019.9081808","addedAt":"2026-08-31T06:39:47.153Z","updatedAt":"2026-08-31T06:39:57.841Z"},{"id":"doi:10.1017/aer.2020.52","name":"Rotorcraft systems for urban air mobility: A reality check","source":"crossref","abstract":"ABSTRACT “Urban air vehicles” have been hailed as the next revolution in aviation. Prototypes of various sizes have been flown to demonstrate basic flight (hover and climb), but in most cases there is no demonstration of full flight capability, for example conversion from vertical to level flight (conversion corridor). There are proposals for vehicles in a wide range of scales: from drones specifically designed to deliver goods, to full size vehicles for manned transportation. Most of the concepts proposed include full electric propulsion, multiple (often convertible) rotors (ducted or un-ducted, counter-rotating), and widespread use of composite materials. Start-up companies are seeking funding with high-profile demonstrations in front of the media, but many unresolved technical problems are not been solved. Large aerospace companies have joined the fray. These initiatives are fuelling expectations that achieving the next milestone is within easy reach. This paper aims to fill some gaps in understanding and curb optimism. It takes a holistic view in order to establish a scientific basis for design, manufacturing, operations.","url":"https://doi.org/10.1017/aer.2020.52","authors":["A. Filippone","G.N. Barakos"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2020-06-24T00:01:22Z","doi":"10.1017/aer.2020.52","addedAt":"2026-08-31T06:39:47.153Z","updatedAt":"2026-08-31T06:39:57.841Z"},{"id":"doi:10.2514/6.2020-3254","name":"Flow Control Devices in Cities for Urban Air Mobility","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2020-3254","authors":["Adelaida Garcia-Magariño","Rafael Bardera","Suthyvann Sor","Juan Carlos Matias-Garcia"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2020-06-08T21:02:08Z","doi":"10.2514/6.2020-3254","addedAt":"2026-08-31T06:39:47.153Z","updatedAt":"2026-08-31T06:39:57.841Z"},{"id":"doi:10.2514/6.2022-3545","name":"Time and Energy Saving Potential of Efficient Urban Air Mobility Airspace Structures","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2022-3545","authors":["Lukas Preis","Michael Husemann","Michael Shamiyeh","Eike Stumpf"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2022-06-21T03:07:36Z","doi":"10.2514/6.2022-3545","addedAt":"2026-08-31T06:39:47.153Z","updatedAt":"2026-08-31T06:39:57.841Z"},{"id":"doi:10.2514/6.2019-3255","name":"Paths to Autonomous Vehicle Operations for Urban Air Mobility","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2019-3255","authors":["Akshay Mathur","Karanvir Panesar","Joseph Kim","Ella M. Atkins","Nadine Sarter"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2019-06-15T13:37:16Z","doi":"10.2514/6.2019-3255","addedAt":"2026-08-31T06:39:47.153Z","updatedAt":"2026-08-31T06:39:57.841Z"},{"id":"doi:10.1109/icuas57906.2023.10156156","name":"Technological Certainties and Regulatory Doubts: An Overlook at Unmanned Aviation and Urban Air Mobility in Europe","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icuas57906.2023.10156156","authors":["Andrea Trimarchi"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-06-26T18:08:46Z","doi":"10.1109/icuas57906.2023.10156156","addedAt":"2026-08-31T06:39:47.153Z","updatedAt":"2026-08-31T06:39:57.841Z"},{"id":"doi:10.2514/6.2023-0326","name":"Towards Aerostructural Optimization for Urban Air Mobility Vehicle Design","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2023-0326","authors":["Bernardo Pacini","Malhar Prajapati","Karthikeyan Duraisamy","Joaquim R. Martins","Ping He"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-01-21T01:11:41Z","doi":"10.2514/6.2023-0326","addedAt":"2026-08-31T06:39:47.153Z","updatedAt":"2026-08-31T06:39:57.841Z"},{"id":"doi:10.1109/icns69853.2026.11570332","name":"Integrated CNS Infrastructure Planning for Urban Air Mobility: A Simulation and Stakeholder-Informed Study","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icns69853.2026.11570332","authors":["Faizana Naeem","Volker Gollnick"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-06-24T19:48:08Z","doi":"10.1109/icns69853.2026.11570332","addedAt":"2026-08-31T06:39:47.153Z","updatedAt":"2026-08-31T06:39:57.841Z"},{"id":"doi:10.2514/6.2022-4077","name":"Conflict-Free Trajectory Planning for Urban Air Mobility Based on an Airspace-Resource-Centric Approach","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2022-4077","authors":["Wei Dai","Kin Huat Low"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2022-06-21T03:07:36Z","doi":"10.2514/6.2022-4077","addedAt":"2026-08-31T06:39:47.153Z","updatedAt":"2026-08-31T06:39:57.841Z"},{"id":"doi:10.2514/6.2025-2527","name":"Urban Air Mobility Traffic Analysis Tool for Testing Various ATM Methods","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2025-2527","authors":["Antoni Kopyt","Mateusz Sochacki","Kacper Kaczmarek","Chad L. Stephens"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-02-12T10:03:43Z","doi":"10.2514/6.2025-2527","addedAt":"2026-08-31T06:39:47.153Z","updatedAt":"2026-08-31T06:39:57.841Z"},{"id":"doi:10.2514/6.2026-1392","name":"Multi-Agent Gatekeeper: Safe Flight Planning and Formation Control for Urban Air Mobility","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2026-1392","authors":["Thomas M. Vielmetti","Devansh Agrawal","Dimitra Panagou"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-01-29T07:39:48Z","doi":"10.2514/6.2026-1392","addedAt":"2026-08-31T06:39:47.153Z","updatedAt":"2026-08-31T06:39:57.841Z"},{"id":"doi:10.21741/9781644902813-18","name":"Preliminary design of an electromechanical actuator for eVTOL aircrafts in an urban air mobility context","source":"crossref","abstract":"Abstract. Urban areas face issues like traffic congestion, noise, and pollution. In this context Urban Air Mobility (UAM) offers a solution by utilizing the urban airspace for transportation, in particular, the exploiting of Electric Vertical Take-Off and Landing (eVTOL) vehicles is promising in terms of noise and environmental pollution, despite challenges like safety issues and financial constraints. To overcome these issues, Prognostic and Health Management (PHM) plays a vital role in ensuring safety and reliability. The proposed case study focuses on a compact Electro-Mechanical Actuator (cEMA) for flap control surface. A preliminary design is proposed with the aim of reducing dimensions and weight while maintaining performance and reliability. This work represents one of the first steps in the creation of a digital twin for the design, sizing, and application of PHM logics.","url":"https://doi.org/10.21741/9781644902813-18","authors":["R. Guida"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-10-26T13:33:48Z","doi":"10.21741/9781644902813-18","addedAt":"2026-08-31T06:39:47.153Z","updatedAt":"2026-08-31T06:39:57.841Z"},{"id":"doi:10.1002/iis2.13128","name":"System Of Systems Modeling for Urban Air Mobility Concept","source":"crossref","abstract":"Abstract The exploration of Systems of Systems (SoS) modeling using Model‐Based Systems Engineering (MBSE) is an ongoing area of research, wherein researchers are actively investigating various frameworks and languages suitable for initiating SoS modeling. Urban Air Mobility (UAM) represents a novel approach to urban transportation, integrating multiple systems and stakeholders to enable on‐demand, environment friendly, efficient, and sustainable air travel within cities. International organizations have dedicated significant efforts to develop a comprehensive Concept of Operation (ConOps) for UAM, aiming to define the UAM ecosystem and identify the supporting systems. While previous research was focused on defining the Urban Air System (UAS) using Systems Modeling Language (SysML), there remains a gap in capturing the ConOps for UAM as a System of Systems (SoS) using SysML. This study seeks to address this gap by utilizing the MagicGrid Framework for SoS modeling.","url":"https://doi.org/10.1002/iis2.13128","authors":["Dhirendra Singh"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-04-03T23:16:05Z","doi":"10.1002/iis2.13128","addedAt":"2026-08-31T06:39:47.153Z","updatedAt":"2026-08-31T06:39:57.841Z"},{"id":"doi:10.31219/osf.io/urvn8","name":"Behavioural changes in urban mobility in Barcelona due to the COVID-19 pandemic and its impact on air pollution and greenhouse gas emissions","source":"crossref","abstract":"This study assesses changes in mobility behaviour in the City of Barcelona due the COVID‐19pandemic and its impact on air pollution and GHG emissions. Urban transport is an important sourceof global greenhouse gas (GHG) emissions. Improving urban mobility patterns is therefore crucial formitigating climate change. This study combines quantitative survey data and official governmentdata with in‐depth interviews with public administration officials of the City. Data illustrates thatBarcelona has experienced an unprecedented reduction in mobility during the lockdown (a 90%drop) and mobility remained at comparatively low levels throughout the year 2020. Most remarkableis the decrease in the use of public transport in 2020 compared to pre‐pandemic levels, whereas roadtraffic has decreased to a lesser extent and cycling surged at times to levels up to 60% higher thanpre‐pandemic levels. These changes in mobility have led to a radical and historic reduction in airpollution, with NO2 and PM10 concentration complying with WHO guidelines in 2020. Reductions inGHG emissions for Barcelona’s transport sector are estimated at almost 250.000 t CO2eq in 2020 (7%of the City’s overall annual emissions). The study derives policy implications aimed at achieving along‐term shift towards climate‐friendlier, low‐emission transport in Barcelona, namely how torecover lost demand in public transport and seize the opportunity that the crisis brings for reform byfurther reducing road traffic and establishing a 'cycling culture' in Barcelona, as already achieved inother European cities.","url":"https://doi.org/10.31219/osf.io/urvn8","authors":["Corinna Peters"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2021-12-01T16:19:45Z","doi":"10.31219/osf.io/urvn8","addedAt":"2026-08-31T06:39:47.153Z","updatedAt":"2026-08-31T06:39:57.841Z"},{"id":"doi:10.3390/infrastructures10090242","name":"Strategic Vertiport Placement for Airport Access: Utilizing Urban Air Mobility for Accelerated and Reliable Transportation","source":"crossref","abstract":"Airport-bound access and egress trips comprise a significant portion of total ground transportation trips, especially in regions served by large airports. Connecting urban areas with airports under minimal travel delays can be challenging, with traffic congestion along busy connecting corridors being a common phenomenon. Urban Air Mobility (UAM) is a new transportation mode envisioned to reduce travel times using specific aircraft, such as electric (and non-electric) Vertical or Short Take-off and Landing aircraft (e/VTOLs and STOLs, respectively). The operation of these aircraft requires take-off and landing infrastructure known as vertiports. A strategic infrastructure placement framework was introduced, utilizing and adapting the Capacitated Facility Location Problem (a-CFLP) and the Maximal Covering Location Problem (a-MCLP) with capacity constraints. An adapted capacitated k-means algorithm and a greedy heuristic were considered for the solution of the a-CFLP, while the a-MCLP was formulated as a mixed-integer linear programming problem. The proposed framework was applied in the Chicago Metropolitan Area, revealing that various trade-offs regarding coverage and accessibility, versus operational costs (number of facilities, facility capacity, and service radius), exist. The results showed that, depending on vertiport capacity and service radius capabilities, a range of 5 to 12 vertiports can sufficiently address the demand (above 95% demand coverage) and, with respect to accessibility, serve a moderate UAM demand scenario of 6124 daily requests, as identified for this region.","url":"https://doi.org/10.3390/infrastructures10090242","authors":["Vasileios Volakakis","Hani S. Mahmassani"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-09-15T09:43:41Z","doi":"10.3390/infrastructures10090242","addedAt":"2026-08-31T06:39:47.153Z","updatedAt":"2026-08-31T06:39:57.841Z"},{"id":"doi:10.4050/f-0079-2023-18131","name":"Simulation-Assisted, Weather-Aware Urban Air Mobility System Planning","source":"crossref","abstract":"","url":"https://doi.org/10.4050/f-0079-2023-18131","authors":["Michael Yablonski","Alexander Klein"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-06-26T11:49:07Z","doi":"10.4050/f-0079-2023-18131","addedAt":"2026-08-31T06:39:47.153Z","updatedAt":"2026-08-31T06:39:57.841Z"},{"id":"doi:10.1109/aixset62544.2024.00037","name":"Supporting Formal Methods for Machine Learning Verification in Urban Air Mobility","source":"crossref","abstract":"","url":"https://doi.org/10.1109/aixset62544.2024.00037","authors":["Alexandra Newcomb","Juan Couder","Omar Ochoa"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-12-03T13:55:24Z","doi":"10.1109/aixset62544.2024.00037","addedAt":"2026-08-31T06:39:47.153Z","updatedAt":"2026-08-31T06:39:57.841Z"},{"id":"doi:10.2514/6.2026-1867","name":"WITHDRAWN: An Integrated Conceptual-Design Framework for Multicopter Urban Air Mobility Vehicles","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2026-1867","authors":["Danish Faraz","Bilal Mufti","Zakria Toor","Ali Javed"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-01-29T10:19:56Z","doi":"10.2514/6.2026-1867","addedAt":"2026-08-31T06:39:47.153Z","updatedAt":"2026-08-31T06:39:57.841Z"},{"id":"doi:10.3390/systems12050178","name":"Exploring Safety Culture in Urban Air Mobility: System of Systems Perspectives Using Enterprise Architecture","source":"crossref","abstract":"Urban Air Mobility (UAM) is an emerging industry marked by technological advancements, new operational contexts, and regulatory frameworks. This article examines how to improve safety management in UAM operations by adopting a just culture approach from a system of systems perspective. Acknowledging the critical role of front-line workers, especially in the early stage with piloted vehicles, the ecosystem-level approach comprehends multiple providers, operators, and services. Employing an enterprise architecture methodology, we address the challenge of fostering a learning-oriented environment amidst diverse organizational perspectives and stakeholders’ interests. This study identifies key capabilities, functions, and resource exchanges within and across organizations by strategically leveraging architectural views and systemic visualizations. A unified safety committee is discussed and recommended to facilitate consensus among stakeholders, including regulatory bodies, thus paving the way for industry-wide improvements. Findings contribute to evolving safety protocols in UAM operations and serve as a blueprint for integrating cutting-edge methodologies to drive systemic enhancements.","url":"https://doi.org/10.3390/systems12050178","authors":["Raquel Hoffmann","Hidekazu Nishimura","Paulo Gomes"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-05-17T06:53:49Z","doi":"10.3390/systems12050178","addedAt":"2026-08-31T06:39:47.153Z","updatedAt":"2026-08-31T06:39:57.841Z"},{"id":"doi:10.1007/s42524-026-5302-4","name":"Data-driven vertiport location optimization for urban air mobility","source":"crossref","abstract":"Abstract Urban air mobility (UAM), as an emerging transportation mode, represents an effective strategy to alleviate ground traffic congestion and is expected to be promoted globally in the coming years. This study focuses on the data-driven optimization of vertiport location. By integrating travel choice modeling with a three-phase multi-objective integer programming (TP-MOIP) model based on K -means clustering analysis, the study provides decision-making support for scientific vertiport network planning. The study combines revealed preference (RP) and stated preference (SP) surveys, employing binomial logistic regression to analyze the probability of individuals choosing UAM, while introducing time value coefficients to identify potential user groups. Utilizing ride-hailing order data, potential vertiport locations were identified through K -means clustering. The developed TP-MOIP model simultaneously optimizes the objectives of demand coverage maximization and cost minimization across three implementation phases. Using Shenzhen as a case study, the feasibility of the proposed approach was validated. The results show that the average selection probability for UAM is 16.7%, with time-sensitive users being a critical demographic. In addition, the TP-MOIP model achieved a demand coverage rate of 88.21%. Sensitivity analysis indicates that the land cost budget has the most pronounced impact on demand coverage. This research establishes both theoretical foundations and practical methodologies for vertiport location optimization, offering substantial implications for advancing UAM development.","url":"https://doi.org/10.1007/s42524-026-5302-4","authors":["Shaorui Zhou","Jia Pan","Min Zhao","Lingxiao Wu","Weiqing Li"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-04-20T10:20:51Z","doi":"10.1007/s42524-026-5302-4","addedAt":"2026-08-31T06:39:47.153Z","updatedAt":"2026-08-31T06:39:57.841Z"},{"id":"doi:10.1016/b978-0-12-814897-6.00001-6","name":"Trends, Drivers, and Pathways for Sustainable Urban Mobility","source":"crossref","abstract":"","url":"https://doi.org/10.1016/b978-0-12-814897-6.00001-6","authors":["Oliver Lah"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2019-01-12T05:23:34Z","doi":"10.1016/b978-0-12-814897-6.00001-6","addedAt":"2026-08-31T06:39:47.153Z","updatedAt":"2026-08-31T06:39:57.841Z"},{"id":"doi:10.1109/itec53557.2022.9813780","name":"Preliminary Electric Motor Drivetrain Optimization Studies for Urban Air Mobility Vehicles","source":"crossref","abstract":"","url":"https://doi.org/10.1109/itec53557.2022.9813780","authors":["Thomas Tallerico","Jeffryes Chapman","Andrew D. Smith"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2022-07-07T19:31:38Z","doi":"10.1109/itec53557.2022.9813780","addedAt":"2026-08-31T06:39:47.153Z","updatedAt":"2026-08-31T06:39:57.841Z"},{"id":"doi:10.2514/6.2021-3207","name":"Proposing a Scenario-based Estimation of Global Urban Air Mobility Demand","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2021-3207","authors":["Anna Straubinger","Fabian Helmchen","Kay O. Ploetner","Jochen Kaiser"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2021-07-28T19:32:16Z","doi":"10.2514/6.2021-3207","addedAt":"2026-08-31T06:39:47.153Z","updatedAt":"2026-08-31T06:39:57.841Z"},{"id":"doi:10.3390/a19080652","name":"Wind-Aware RRT* with Neural Energy Refinement for Energy-Efficient Urban Air Mobility","source":"crossref","abstract":"Urban air mobility depends on small aerial vehicles threading through dense, wind-swept cities, yet most sampling-based planners treat the urban wind field as noise to reject rather than structure to exploit—and pay for it in flight energy. We take the opposite view. Behind every building lies a sheltered wake where the air slows and aerodynamic drag drops, and this work turns that physical fact into a planning principle. We present an energy-aware, wind-shadow-aware framework that routes a single quadrotor, at the planning level, through these low-wind corridors. The wind model couples a power-law shear profile with Ekman directional veer and a frozen-turbulence gust component, grounding the planner in realistic boundary-layer physics. A feed-forward neural energy surrogate, trained to approximate a cost field that aggregates wind exposure and obstacle clearance, then guides a two-stage refinement—energy-aware, collision-checked shortcutting followed by Laplacian and energy-guided smoothing—so that every accepted change stays collision-free. Against classical sampling-based baselines (RRT, goal-biased RRT, Informed RRT*, and BIT*) over a 50-run Monte-Carlo study, evaluated with multi-criteria metrics and Pareto-dominance analysis, the framework characterizes how wind-shadow-aware routing balances route energy against smoothness and clearance, offering a reproducible, wind-informed basis for flying robots navigation.","url":"https://doi.org/10.3390/a19080652","authors":["Farhad Bagheri","Mohammadali Amiri Atashgah","Morteza Ebrahimi"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-08-06T14:45:47Z","doi":"10.3390/a19080652","addedAt":"2026-08-31T06:39:47.153Z","updatedAt":"2026-08-31T06:39:57.841Z"},{"id":"doi:10.2514/6.2023-3662","name":"Sizing and Optimization of an Urban Air Mobility Aircraft Using Parametric Aero-Propulsive Model","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2023-3662","authors":["Bikash Kunwar","Rajan Bhandari","Imon Chakraborty"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-06-08T11:36:49Z","doi":"10.2514/6.2023-3662","addedAt":"2026-08-31T06:39:47.153Z","updatedAt":"2026-08-31T06:39:57.841Z"},{"id":"doi:10.5194/icuc12-40","name":"Near-Real Time Weather Forecasting for Urban Air Mobility Using Deep Learning Emulators","source":"crossref","abstract":"Urban Air Mobility (UAM) operates at altitudes of 1,000–2,000 feet within urban environments, where dynamic airflows require precise and real-time meteorological forecasts. Traditional large-scale forecasting systems often fail to capture intra-urban phenomena such as turbulence, while high-resolution Computational Fluid Dynamics (CFD) simulations are prohibitively computationally expensive for real-time applications. To address these challenges, this study introduces a deep learning-based emulator that rapidly generates CFD-like results using data from the Local Data Assimilation and Prediction System (LDAPS). The proposed model integrates Residual Dense Blocks (RDBs) with a wind direction classification system, significantly enhancing both predictive accuracy and computational efficiency. RDBs enable the effective learning of complex data patterns, while the wind direction classification system accurately predicts real-time wind direction changes, crucial for safe route planning and flight management in UAM operations. Experimental results demonstrate that the emulator reduces Mean Square Error (RMSE) compared to traditional forecasting models and achieves high accuracy in wind direction classification. Additionally, the emulator exhibits markedly lower computational costs and faster processing times than conventional CFD simulations, confirming its suitability for real-time applications. This deep learning-based emulator facilitates high-resolution urban-scale weather forecasting essential for the safe and efficient integration of UAM into urban airspaces. Furthermore, the approach holds significant potential for broader applications in urban meteorology and real-time computational tasks, establishing a new standard for meteorological forecasting tools in complex urban environmentsKey Words: Urban Air Mobility (UAM), Urban meteorology, Deep Learning, Emulator, Computational Fluid Dynamics (CFD).","url":"https://doi.org/10.5194/icuc12-40","authors":["jinil Bae","Yunhyeong Lee","Ju-Hwan Rho","Geon Kang","Jae-Jin Kim","Rackhun Son"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-05-21T15:10:32Z","doi":"10.5194/icuc12-40","addedAt":"2026-08-31T06:39:47.153Z","updatedAt":"2026-08-31T06:39:57.841Z"},{"id":"doi:10.3917/bru.rende.2020.01.0323","name":"La mobilité urbaine / Urban Mobility","source":"crossref","abstract":"","url":"https://doi.org/10.3917/bru.rende.2020.01.0323","authors":["Saskia Hillegers","Tycho Lam"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-07-28T08:03:51Z","doi":"10.3917/bru.rende.2020.01.0323","addedAt":"2026-08-31T06:39:47.153Z","updatedAt":"2026-08-31T06:39:57.841Z"},{"id":"doi:10.2514/6.2026-0465","name":"A Comparative Study of Vision-Based Detect and Avoid for Urban Air Mobility","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2026-0465","authors":["Waleed Raza","Richard S. Stansbury","Kanchon Gharami"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-01-28T05:59:51Z","doi":"10.2514/6.2026-0465","addedAt":"2026-08-31T06:39:47.153Z","updatedAt":"2026-08-31T06:39:57.841Z"},{"id":"doi:10.1109/dasc62030.2024.10749187","name":"Exploring RNP Applications in Urban Air Mobility: A Quadrotor UAV Accuracy Study","source":"crossref","abstract":"","url":"https://doi.org/10.1109/dasc62030.2024.10749187","authors":["Maria Hanna","Thomas Dautermann"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-11-15T18:44:23Z","doi":"10.1109/dasc62030.2024.10749187","addedAt":"2026-08-31T06:39:47.153Z","updatedAt":"2026-08-31T06:39:57.841Z"},{"id":"doi:10.2514/6.2024-3938.c1","name":"Correction: Modeling and Analysis of Dynamic Pricing Potential for Urban Air Mobility Operations","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2024-3938.c1","authors":["Ansgar Kirste","Eike Stumpf"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-12-04T09:26:37Z","doi":"10.2514/6.2024-3938.c1","addedAt":"2026-08-31T06:39:47.153Z","updatedAt":"2026-08-31T06:39:57.841Z"},{"id":"doi:10.2514/6.2021-3209","name":"Urban Air Mobility: Airport Ground Access Demand Estimation","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2021-3209","authors":["Mihir Rimjha","Susan Hotle","Antonio Trani","Nicolas Hinze","Jeremy Smith","Samuel Dollyhigh"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2021-07-28T19:32:16Z","doi":"10.2514/6.2021-3209","addedAt":"2026-08-31T06:39:47.153Z","updatedAt":"2026-08-31T06:39:57.841Z"},{"id":"doi:10.52273/sduhfd..1560332","name":"Urban Air Mobility (UAM) in Türkiye: Evaluating Existing Aviation Laws and International Practices","source":"crossref","abstract":"Urban Air Mobility (UAM) has emerged as a solution to transport challenges such as traffic congestion, environmental impacts, and lack of adequate public transport systems in urban areas. As the interest in UAM objects such as electric vertical take-off and landing aircraft (eVTOL) is increasing, it is important to understand whether the current regulations are sufficient to address the sui generis difficulties of this brand new technology. This article examines the adequacy of Türkiye's current legal framework to ensure the safe, effective, and sustainable integration of UAM. This article analyses Türkiye's existing aviation legislation, in particular the Turkish Civil Aviation Law and the instructions issued by the Directorate General of Civil Aviation (DGCA) and examines their applicability to UAM. The article discusses various regulatory gaps such as the lack of standards specifically designed for UAM, inadequate safety, environmental and operational regulations, and unclear guidelines on airspace integration. The article also discusses various UAM regulations prepared by the International Civil Aviation Organisation (ICAO), the European Union Aviation Safety Agency (EASA), and the approaches of pioneer countries in this area, such as the US, Germany, and Japan. Through a comparative analysis, it demonstrates the key lessons learnt from these international practices and presents suggestions for improving Türkiye's regulatory environment. The study emphasises the need for targeted reforms, introduction of specific standards, and a new regulative framework to foster the successful integration of UAM. The findings aim to contribute to the establishment of a solid legal framework to ensure that Türkiye is prepared for the future of UAM.","url":"https://doi.org/10.52273/sduhfd..1560332","authors":["Ayşenur Zeynep Özmen"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-11-20T16:28:16Z","doi":"10.52273/sduhfd..1560332","addedAt":"2026-08-31T06:39:47.153Z","updatedAt":"2026-08-31T06:39:57.841Z"},{"id":"doi:10.2514/6.2022-3509","name":"Experimental Evaluation of Robustness of Panel-Method-Based Path Planning for Urban Air Mobility","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2022-3509","authors":["Zeynep Bilgin","Murat Bronz","Ilkay Yavrucuk"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2022-06-21T03:07:36Z","doi":"10.2514/6.2022-3509","addedAt":"2026-08-31T06:39:47.153Z","updatedAt":"2026-08-31T06:39:57.841Z"},{"id":"doi:10.2514/6.2019-0528","name":"Baseline Assumptions and Future Research Areas for Urban Air Mobility Vehicles","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2019-0528","authors":["Kevin Antcliff","Siena Whiteside","Lee W. Kohlman","Christopher Silva"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2019-01-07T00:52:39Z","doi":"10.2514/6.2019-0528","addedAt":"2026-08-31T06:39:47.153Z","updatedAt":"2026-08-31T06:39:57.841Z"},{"id":"doi:10.2514/6.2021-1002","name":"Rapid Aero Modeling for Urban Air Mobility Aircraft in Computational Experiments","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2021-1002","authors":["Patrick C. Murphy","Pieter G. Buning","Benjamin M. Simmons"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2021-01-05T07:59:38Z","doi":"10.2514/6.2021-1002","addedAt":"2026-08-31T06:39:47.153Z","updatedAt":"2026-08-31T06:39:57.841Z"},{"id":"doi:10.36948/ijfmr.2025.v07i06.63635","name":"Systematic Literature Review of Factors Affecting Public Acceptance and Adoption of Urban Air Mobility","source":"crossref","abstract":"Articles are reviewed in this paper with a purpose to develop holistic knowledge upon the factors for UAM public acceptance and intention. The paper uses the PRISMA STATEMENT method to identify and organize literature for reviews. A total of 1206 articles are obtained for the three queries used as search keywords in the libraries of SCOPUS, Google Scholar and PubMeds. The most common models for adoption of new Technology are the “technology acceptance model” (TAM), “theory of planned behavior” (TPB). In some cases, two of these models have been used together as the main theoretical frame of reference and another as extended theoretical model. Literatures available so far are contributing significant knowledge to explain the role of factors like Demographics, Socioeconomic status, Environmental Concerns, and Perceived Risk upon the acceptance and adoption of UAM but very less or insignificant works have been done so far to measure the impact of factors like Personal Innovativeness, Vehicle Ownership, Mobility Impairment, Trip purpose, Exposure to new technology, Facilitating Conditions, Hedonic Motivation","url":"https://doi.org/10.36948/ijfmr.2025.v07i06.63635","authors":["Rakesh Yadav","Arvind Jain"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-12-19T15:42:07Z","doi":"10.36948/ijfmr.2025.v07i06.63635","addedAt":"2026-08-31T06:39:47.153Z","updatedAt":"2026-08-31T06:39:56.013Z"},{"id":"doi:10.2514/6.2020-1371","name":"Distributed Computational Guidance for High-Density Urban Air Mobility with Cooperative and Non-Cooperative Collision Avoidance","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2020-1371","authors":["Josh Bertram","Peng Wei"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2020-01-05T17:55:51Z","doi":"10.2514/6.2020-1371","addedAt":"2026-08-31T06:39:47.153Z","updatedAt":"2026-08-31T06:39:57.841Z"},{"id":"doi:10.2514/1.d0553","name":"Quantitative Metric to Assess Socioeconomic Impacts of Noise from Urban Air Mobility","source":"crossref","abstract":"Urban air mobility (UAM) is a promising transportation frontier, but noise pollution issues are increasingly marginalized. High exposure to aircraft noise can cause hearing damage and anxiety. Additionally, disproportionately afflicted groups’ psychological repercussions exacerbate inequities. This article distills the relationship between projected UAM electric vertical takeoff and landing (EVTOL) aircraft operations and human activity and proposes a new community annoyance noise index based on present rules, population density, and land use to lessen the likelihood of ill-planned air traffic management. This holistic indicator can better inform public health and quality of life in communities near airports that are historically subjected to increased aircraft noise. To demonstrate the efficacy of this new statistic and its application, a Greater Los Angeles trade study was conducted. Hourly operations between postulated vertiports were simulated using three EVTOL aircraft configurations. The findings suggest that for direct vertiport-to-vertiport flight operations the degree to which specific demographics of people are impacted varies with configuration.","url":"https://doi.org/10.2514/1.d0553","authors":["Yair Guerrero","Aidan Molloy","Niranjan Nanjappa","Ava R. Cipriani","Nicole N. Artemyev","Matthew A. Clarke","Ceyenna M. Tillman"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-05-25T06:01:26Z","doi":"10.2514/1.d0553","addedAt":"2026-08-31T06:39:47.153Z","updatedAt":"2026-08-31T06:39:57.841Z"},{"id":"doi:10.1016/j.urbmob.2023.100047","name":"How railway stations can transform urban mobility and the public realm: The stakeholders’ perspective","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.urbmob.2023.100047","authors":["Alice Lunardon","Doroteya Vladimirova","Benedikt Boucsein"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-03-06T05:07:06Z","doi":"10.1016/j.urbmob.2023.100047","addedAt":"2026-08-31T06:39:47.153Z","updatedAt":"2026-08-31T06:39:57.841Z"},{"id":"doi:10.2514/1.d0556","name":"Integrating Social and Economic Sustainability in Urban Air Mobility Network Planning","source":"crossref","abstract":"Urban air mobility (UAM) is an innovative concept with the potential to create numerous economic opportunities. However, the integration of UAM into existing urban environments presents significant challenges. Factors such as aircraft noise, community acceptance, and economic feasibility are primary concerns for investors, governments, and users. Recognizing the critical role of network and infrastructure design in a sustainable UAM system, this work focuses on enhancing UAM’s social and economic sustainability from a network planning perspective. Specifically, the authors plan the configurations of vertiports and flight corridors in a city by considering several key socioeconomic and environmental factors. The proposed methodology consists of social and economic factors identification, geospatial data integration, vertiport location selection, and flight corridor optimization. The methodology is applied in a detailed case study of the Austin, Texas, metropolitan area, in which the authors present and discuss a series of sustainable UAM network planning results across various cost-benefit scenarios.","url":"https://doi.org/10.2514/1.d0556","authors":["Mariah Barsotti","John-Paul Clarke","Zhenyu Gao"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-04-05T17:27:31Z","doi":"10.2514/1.d0556","addedAt":"2026-08-31T06:39:47.153Z","updatedAt":"2026-08-31T06:39:57.841Z"},{"id":"doi:10.18356/bbd6d816-en","name":"Towards sustainable urban mobility","source":"crossref","abstract":"","url":"https://doi.org/10.18356/bbd6d816-en","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2020-11-29T09:22:18Z","doi":"10.18356/bbd6d816-en","addedAt":"2026-08-31T06:39:47.153Z","updatedAt":"2026-08-31T06:39:57.841Z"},{"id":"doi:10.3917/bru.rende.2020.01.0441","name":"La mobilité urbaine / Urban Mobility","source":"crossref","abstract":"","url":"https://doi.org/10.3917/bru.rende.2020.01.0441","authors":["Emmanuelle Broussy","Aurore Laignelot"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-07-28T08:03:51Z","doi":"10.3917/bru.rende.2020.01.0441","addedAt":"2026-08-31T06:39:47.153Z","updatedAt":"2026-08-31T06:39:57.841Z"},{"id":"doi:10.1016/j.urbmob.2026.100236","name":"Transformative pathways toward just and sustainable urban mobility in Kampala: A backcasting and adaptation approach","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.urbmob.2026.100236","authors":["Calvin Rapa","Emmanuel Tolulope Busayo"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-05-25T23:52:02Z","doi":"10.1016/j.urbmob.2026.100236","addedAt":"2026-08-31T06:39:47.153Z","updatedAt":"2026-08-31T06:39:57.841Z"},{"id":"doi:10.3917/bru.rende.2020.01.0415","name":"La mobilité urbaine / Urban Mobility","source":"crossref","abstract":"","url":"https://doi.org/10.3917/bru.rende.2020.01.0415","authors":["Bige Açimuz","Özge Aksoylu"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-07-28T08:03:51Z","doi":"10.3917/bru.rende.2020.01.0415","addedAt":"2026-08-31T06:39:47.153Z","updatedAt":"2026-08-31T06:39:57.841Z"},{"id":"doi:10.2514/1.d0348","name":"Convex Approach to Real-Time Multiphase Trajectory Optimization for Urban Air Mobility","source":"crossref","abstract":"Electric vertical takeoff and landing technology has emerged as a promising solution to alleviate ground transportation congestion. However, the limited capacity of onboard batteries enforces hard time constraints for vehicle operations in a complex urban environment. Therefore, a constrained, real-time trajectory optimization method is necessary to enable safe and energy-efficient vehicle flight. Unfortunately, most existing trajectory optimization methods suffer from low computational efficiency, unpredictable convergence processes, and strong dependence on a good initial trajectory. In this paper, we employ a successive convex programming approach to solve the multiphase minimum-energy-cost electric vertical takeoff and landing vehicle trajectory optimization problem for urban air mobility applications. The main contribution is the development and validation of two novel convexification methods that find approximate optimal solutions to the multiphase nonlinear trajectory optimization problem in real time by solving a sequence of convex subproblems. Specifically, the first method transforms the original nonlinear problem into a sequence of second-order cone programming problems through a convenient change of variables and lossless convexification, while the second approach achieves a similar goal without the need for control convexification. The resulting convex subproblems can be solved reliably in real time by advanced interior point methods. The proposed methods are demonstrated through numerical simulations of two different urban air mobility scenarios and compared with the solution obtained from GPOPS-II, a state-of-the-art general-purpose optimal control solver. Our proposed sequential convex programming methods can obtain near-optimal solutions with faster computational speed than GPOPS-II.","url":"https://doi.org/10.2514/1.d0348","authors":["Yufei Wu","Sabrullah Deniz","Yang Shi","Zhenbo Wang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-02-10T17:20:39Z","doi":"10.2514/1.d0348","addedAt":"2026-08-31T06:39:47.153Z","updatedAt":"2026-08-31T06:39:57.841Z"},{"id":"doi:10.2514/1.d0278","name":"Drawing the Highways in the Sky for Urban Air Mobility Operations","source":"crossref","abstract":"","url":"https://doi.org/10.2514/1.d0278","authors":["Mark T. Kotwicz Herniczek","Emre Yılmaz","Olatunde Sanni","Brian J. German"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2022-07-29T09:05:16Z","doi":"10.2514/1.d0278","addedAt":"2026-08-31T06:39:47.153Z","updatedAt":"2026-08-31T06:39:57.841Z"},{"id":"doi:10.3390/drones8040147","name":"Review of Wind Flow Modelling in Urban Environments to Support the Development of Urban Air Mobility","source":"crossref","abstract":"Urban air mobility (UAM) is a transformative mode of air transportation system technology that is targeted to carry passengers and goods in and around urban areas using electric vertical take-off and landing (eVTOL) aircraft. UAM operations are intended to be conducted in low altitudes where microscale turbulent wind flow conditions are prevalent. This introduces flight testing, certification, and operational complexities. To tackle these issues, the UAM industry, aviation authorities, and research communities across the world have provided prescriptive ways, such as the implementation of dynamic weather corridors for safe operation, classification of atmospheric disturbance levels for certification, etc., within the proposed concepts of operation (ConOps), certification standards, and guidelines. However, a notable hindrance to the efficacy of these solutions lies in the scarcity of operational UAM and observational wind data in urban environments. One way to address this deficiency in data is via microscale wind modelling, which has been long established in the context of studying atmospheric dynamics, weather forecasting, turbine blade load estimation, etc. Thus, this paper aims to provide a critical literature review of a variety of wind flow estimation and forecasting techniques that can be and have been utilized by the UAM community. Furthermore, a compare-and-contrast study of the commonly used wind flow models employed within the wind engineering and atmospheric science domain is furnished along with an overview of the urban wind flow conditions.","url":"https://doi.org/10.3390/drones8040147","authors":["D S Nithya","Giuseppe Quaranta","Vincenzo Muscarello","Man Liang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-04-09T08:55:12Z","doi":"10.3390/drones8040147","addedAt":"2026-08-31T06:39:47.153Z","updatedAt":"2026-08-31T06:39:56.013Z"},{"id":"doi:10.1016/j.urbmob.2026.100204","name":"Disability and the cost of mobility in the urban environment: An experimental outdoor study","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.urbmob.2026.100204","authors":["Anna Mirska","Wojciech Kułak","Paweł Mirski"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-03-14T22:00:17Z","doi":"10.1016/j.urbmob.2026.100204","addedAt":"2026-08-31T06:39:47.153Z","updatedAt":"2026-08-31T06:39:57.841Z"},{"id":"doi:10.2514/1.d0275","name":"Scenario-Based Demand Assessment of Urban Air Mobility in the Greater Munich Area","source":"crossref","abstract":"","url":"https://doi.org/10.2514/1.d0275","authors":["Mengying Fu","Anna Straubinger","Julia Schaumeier"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2022-07-12T04:49:59Z","doi":"10.2514/1.d0275","addedAt":"2026-08-31T06:39:47.153Z","updatedAt":"2026-08-31T06:39:57.841Z"},{"id":"doi:10.2514/1.d0328","name":"Urban Air Mobility Profitability and Operational Sensitivity to Battery and Charging Technology","source":"crossref","abstract":"Designs for electric vertical takeoff and landing (VTOL) aircraft deviate from traditional aircraft designs and include a wide variety of different configurations. Significant uncertainty also exists regarding the status of future battery technology, including energy density and charge rates. This paper presents a simple analytic model to estimate the profitability of an urban air mobility electric VTOL aircraft for a variety of vehicle configurations, battery technology parameters, and economic factors. Five main elements are considered by the framework: aircraft performance, battery technology, mission profile, mission economics, and electrical grid parameters. A sensitivity analysis is provided, comparing the operational performance and profitability of three electric VTOL concepts (lift plus cruise, quadcopter, and side by side), with respect to electrical grid and battery technology factors. The takeoff weight to maximize the number of completed routes or the overall profitability is also examined. Interestingly, results show that these two values do not coincide across the entire design space due to the nonlinearity of the battery life cycle with respect to the depth of discharge, which strongly affects battery replacement cost.","url":"https://doi.org/10.2514/1.d0328","authors":["Andrea Garbo","Mark T. Kotwicz Herniczek","Brian J. German"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-05-17T09:16:41Z","doi":"10.2514/1.d0328","addedAt":"2026-08-31T06:39:47.153Z","updatedAt":"2026-08-31T06:39:57.841Z"},{"id":"doi:10.1016/j.ebesb.2026.100004","name":"Flight path planning strategies to reduce urban air mobility noise in urban environments: A systematic review","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.ebesb.2026.100004","authors":["A. Tianjing Feng","B. Huanfa Chen","C. Jian Kang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-05-14T14:54:54Z","doi":"10.1016/j.ebesb.2026.100004","addedAt":"2026-08-31T06:39:47.153Z","updatedAt":"2026-08-31T06:39:56.013Z"},{"id":"doi:10.2139/ssrn.4995752","name":"Assessing the Feasibility and Viability of Multimodal Urban Air Mobility in Small and Medium-Sized Urban Areas: Integration of Shared Autonomous Vehicles and Vertical Take-Off and Landing Vehicles","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.4995752","authors":["Zihe Zhang","Chenxuan Yang","Jun Liu","Steven Jones"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-10-22T13:44:08Z","doi":"10.2139/ssrn.4995752","addedAt":"2026-08-31T06:39:47.153Z","updatedAt":"2026-08-31T06:39:57.841Z"},{"id":"doi:10.1007/978-3-030-02305-8_39","name":"Influence of Traffic Emissions on Urban Air Quality: A Case Study of a Medium Sized City","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-030-02305-8_39","authors":["Aggelos Aggelakakis","Afroditi Anagnostopoulou","Alkiviadis Tromaras","Maria Boile","Niki Mantzinou"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2018-12-11T21:13:06Z","doi":"10.1007/978-3-030-02305-8_39","addedAt":"2026-08-31T06:39:47.153Z","updatedAt":"2026-08-31T06:39:57.841Z"},{"id":"doi:10.38195/judik.2024.04.25.2.127","name":"Planning Direction of Urban Air Mobility (UAM) Vertiport Using Parking Building Site","source":"crossref","abstract":"","url":"https://doi.org/10.38195/judik.2024.04.25.2.127","authors":["Hye-Lim Kim","Sungjo Hong"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-05-14T00:38:26Z","doi":"10.38195/judik.2024.04.25.2.127","addedAt":"2026-08-31T06:39:47.153Z","updatedAt":"2026-08-31T06:39:57.841Z"},{"id":"doi:10.1038/s42949-021-00037-7","name":"A take-home message from COVID-19 on urban air pollution reduction through mobility limitations and teleworking","source":"crossref","abstract":"Abstract The rigorous traffic limitations during COVID-19 have forced many people to work from home, reaching an outstanding degree of teleworking and reduction in air pollution. This exceptional situation can be examined as a large-scale pilot test to determine the potential of improving urban air quality through teleworking. Based on observed traffic reductions during the COVID-19 lockdown in Barcelona, we formulate socio-occupational scenarios, with various configurations of teleworking, and simulate them using the chemistry transport model WRF-Chem with multi-layer urban scheme. By intensifying teleworking to 2, 3, and 4 days a week, averaged NO 2 concentrations are reduced by 4% (−1.5 μg m −3 ), 8% (−3 μg m −3 ), and 10% (−6 μg m −3 ), respectively, while O 3 increases moderately (up to 3 μg m −3 ). We propose that teleworking be prioritized and promoted as an effective contribution towards reduction of long-term urban air pollution and short-term pollution peaks.","url":"https://doi.org/10.1038/s42949-021-00037-7","authors":["Alba Badia","Johannes Langemeyer","Xavier Codina","Joan Gilabert","Nacho Guilera","Veronica Vidal","Ricard Segura","Mar Vives","Gara Villalba"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2021-08-17T10:05:02Z","doi":"10.1038/s42949-021-00037-7","addedAt":"2026-08-31T06:39:47.153Z","updatedAt":"2026-08-31T06:39:57.841Z"},{"id":"doi:10.1007/s40864-026-00270-2","name":"Multimodal Hub-and-Spoke Network Design Problems to Integrate Urban Air Mobility and High-Speed Rail Services: A Semi-Quadratic Assignment Formulation and its Linearization","source":"crossref","abstract":"Abstract Urban air mobility (UAM) leverages advanced air transportation systems to facilitate efficient and reliable air travel within and around urban areas. It involves the use of electric aircraft capable of vertical take-off and landing (VTOL), such as air taxis, which navigate urban airspace to transport passengers quickly between locations. High-speed rail (HSR) service, on the other hand, is a rail transport system that utilizes trains operating at higher speeds than traditional rail services, providing rapid connectivity between major metropolitan areas. In this study, we aim to develop a hub-and-spoke network design (HSND) problem that integrates UAM and HSR (UAMHSR–HSND) to improve the efficiency of multimodal transportation systems. The hub-and-spoke model captures the interfacility interactions between passenger flows and vertiport–station assignments via a semi-quadratic assignment model, which poses significant computational challenges. To address this challenge, we compare different linearization models that leverage the special network configuration of UAMHSR–HSND and allow the problem to be solved using off-the-shelf solvers. We further propose a hybrid solving strategy that uses NET-QAP to generate warm-start solutions and then refine them with stronger linearization models, thereby enhancing scalability for large instances. Numerical results show that the NET-QAP model consistently solves large-scale cases with reasonable optimality gaps, and that integrating it with the multicommodity-flow linearization can obtain optimality (GAP = 0%) within reasonable time limit on large-scale instances. Case studies conducted along the Beijing–Shanghai high-speed rail corridor, with spoke vertiports scattered throughout both Beijing and the Changjiang Delta, demonstrate the practicality of the proposed method.","url":"https://doi.org/10.1007/s40864-026-00270-2","authors":["Xin Bruce Wu","Yanfu Huo","Yidan Wen","Jiahao Xing"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-05-09T07:49:08Z","doi":"10.1007/s40864-026-00270-2","addedAt":"2026-08-31T06:39:47.153Z","updatedAt":"2026-08-31T06:39:57.841Z"},{"id":"doi:10.1109/icoin56518.2023.10048981","name":"Trajectory Optimization of Multiple Urban Air Mobility for Reliable Communications with Integrated Space-Air-Ground Network","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icoin56518.2023.10048981","authors":["Yu Min Park","Kitae Kim","Seong-Bae Park","Choong Seon Hong"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-02-22T18:26:40Z","doi":"10.1109/icoin56518.2023.10048981","addedAt":"2026-08-31T06:39:47.153Z","updatedAt":"2026-08-31T06:39:57.841Z"},{"id":"doi:10.31219/osf.io/3rgjw","name":"Integrating Flight and Charging Schedules in Urban Air Mobility","source":"crossref","abstract":"This paper investigates the simultaneous optimization of flight schedule and charging policy of electric vertical takeoff and landing aircraft for Urban Air Mobility operations. An optimization model is developed for a two-vertiport system to design an efficient flight schedule, including re-balancing flights, and a charging policy that serves a given demand with the objective of minimizing the required fleet size. The results highlight that charging aircraft to a lower State of Charge level during peak demand periods and to a higher level during off-peak times effectively reduces the fleet size, due to the non-linearity of battery charging times. The study includes a sensitivity analysis to determine the impact of various demand levels and flight times on the system. The results highlight the interplay between fluctuations in passenger demand and battery charging policies. Future work will integrate infrastructure constraints into the optimization model.","url":"https://doi.org/10.31219/osf.io/3rgjw","authors":["Shangqing Cao","Xuan Jiang","Vishwanath Bulusu","Anjan Chakrabarty","Mark Hansen","Emin Burak Onat","Raja Sengupta","Bo Zou"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-07-22T02:39:02Z","doi":"10.31219/osf.io/3rgjw","addedAt":"2026-08-31T06:39:47.153Z","updatedAt":"2026-08-31T06:39:57.841Z"},{"id":"doi:10.3917/bru.rende.2020.01.0009","name":"La mobilité urbaine / Urban Mobility","source":"crossref","abstract":"","url":"https://doi.org/10.3917/bru.rende.2020.01.0009","authors":["David Renders","Jacqueline Morand-Deviller"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-07-28T08:03:51Z","doi":"10.3917/bru.rende.2020.01.0009","addedAt":"2026-08-31T06:39:47.153Z","updatedAt":"2026-08-31T06:39:47.153Z"},{"id":"doi:10.2139/ssrn.4341268","name":"The State of Urban Air Mobility Research: An Assessment of Challenges and Opportunities","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.4341268","authors":["Sheikh  Shahriar Ahmed","Grigorios Fountas","Virginie Lurkin","Panagiotis  Ch. Anastasopoulos","Michel Bierlaire","Fred  L. Mannering"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-01-31T18:01:39Z","doi":"10.2139/ssrn.4341268","addedAt":"2026-08-31T06:39:47.153Z","updatedAt":"2026-08-31T06:39:57.841Z"},{"id":"doi:10.4324/9781003747895-4","name":"African Urban Mobility","source":"crossref","abstract":"","url":"https://doi.org/10.4324/9781003747895-4","authors":["Juliet Eileen Joseph"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-07-01T09:07:52Z","doi":"10.4324/9781003747895-4","addedAt":"2026-08-31T06:39:47.153Z","updatedAt":"2026-08-31T06:39:50.720Z"},{"id":"doi:10.2514/6.2023-2240","name":"Inter-comparison of Ground and Aerial Observation Systems for Urban Advanced Air Mobility Wind Field Campaigns","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2023-2240","authors":["Tyler Willhite","Jamey D. Jacob"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-01-21T06:59:16Z","doi":"10.2514/6.2023-2240","addedAt":"2026-08-31T06:39:47.153Z","updatedAt":"2026-08-31T06:39:47.153Z"},{"id":"doi:10.4324/9781003011149-4","name":"Urban mobility and spatial justice","source":"crossref","abstract":"","url":"https://doi.org/10.4324/9781003011149-4","authors":["Dorcas Nthoki Nyamai"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2020-10-27T10:42:06Z","doi":"10.4324/9781003011149-4","addedAt":"2026-08-31T06:39:47.153Z","updatedAt":"2026-08-31T06:39:47.153Z"},{"id":"doi:10.5040/9798881816704.ch-6","name":"Moral Prioritization in Urban Mobility","source":"crossref","abstract":"","url":"https://doi.org/10.5040/9798881816704.ch-6","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-05-23T11:44:33Z","doi":"10.5040/9798881816704.ch-6","addedAt":"2026-08-31T06:39:47.153Z","updatedAt":"2026-08-31T06:39:47.153Z"},{"id":"doi:10.1016/j.jairtraman.2024.102636","name":"Who will board urban air taxis? An analysis of advanced air mobility demand and value of travel time for business, airport access, and regional tourism trips in Iran","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.jairtraman.2024.102636","authors":["Mahdi Samadzad","Fatemeh Ansari","Mohammad Amin Afshari Moez"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-07-18T12:19:35Z","doi":"10.1016/j.jairtraman.2024.102636","addedAt":"2026-08-31T06:39:47.153Z","updatedAt":"2026-08-31T06:39:48.855Z"},{"id":"doi:10.1109/itsc60802.2025.11423677","name":"Optimal Fleet Sizing for On-Demand Urban Air Mobility Services Using Queueing-Theoretical Approach","source":"crossref","abstract":"","url":"https://doi.org/10.1109/itsc60802.2025.11423677","authors":["Byeong Tak Park"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-03-16T20:10:23Z","doi":"10.1109/itsc60802.2025.11423677","addedAt":"2026-08-31T06:39:47.153Z","updatedAt":"2026-08-31T06:39:52.012Z"},{"id":"doi:10.1016/j.bdr.2024.100447","name":"An Integration visual navigation algorithm for urban air mobility","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.bdr.2024.100447","authors":["Yandong Li","Bo Jiang","Long Zeng","Chenglong Li"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-02-23T19:18:29Z","doi":"10.1016/j.bdr.2024.100447","addedAt":"2026-08-31T06:39:47.153Z","updatedAt":"2026-08-31T06:39:48.855Z"},{"id":"doi:10.2514/6.2021-2325","name":"Hybrid AI-Based Demand-Capacity Balancing for UAS Traffic Management and Urban Air Mobility","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2021-2325","authors":["Yibing Xie","Alessandro G. Gardi","Roberto Sabatini"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2021-07-28T19:32:16Z","doi":"10.2514/6.2021-2325","addedAt":"2026-08-31T06:39:47.153Z","updatedAt":"2026-08-31T06:39:47.153Z"},{"id":"doi:10.2514/6.2021-1628","name":"Assessing potential urban air mobility traffic density in a metropolitan area like Chicago","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2021-1628","authors":["Jorge Martinez Zapico","Dengfeng Sun","William A. Crossley"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2021-01-05T07:59:38Z","doi":"10.2514/6.2021-1628","addedAt":"2026-08-31T06:39:47.153Z","updatedAt":"2026-08-31T06:39:47.153Z"},{"id":"doi:10.5040/9798881816704.ch-7","name":"Love, Respect, and Urban Mobility","source":"crossref","abstract":"","url":"https://doi.org/10.5040/9798881816704.ch-7","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-05-23T11:44:33Z","doi":"10.5040/9798881816704.ch-7","addedAt":"2026-08-31T06:39:47.153Z","updatedAt":"2026-08-31T06:39:47.153Z"},{"id":"doi:10.1108/9780857246127-002","name":"A Theoretical Framework for the Management of Urban Mobility Systems","source":"crossref","abstract":"","url":"https://doi.org/10.1108/9780857246127-002","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2016-01-29T06:15:49Z","doi":"10.1108/9780857246127-002","addedAt":"2026-08-31T06:39:47.153Z","updatedAt":"2026-08-31T06:39:47.153Z"},{"id":"doi:10.3917/bru.rende.2020.01.0309","name":"La mobilité urbaine / Urban Mobility","source":"crossref","abstract":"","url":"https://doi.org/10.3917/bru.rende.2020.01.0309","authors":["Paolo Stella Richter","Vera Parisio"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-07-28T08:03:51Z","doi":"10.3917/bru.rende.2020.01.0309","addedAt":"2026-08-31T06:39:47.153Z","updatedAt":"2026-08-31T06:39:47.153Z"},{"id":"doi:10.2514/6.2023-3264","name":"Analysis of Sustainability Specifications of Urban Air Mobility Fleet Operations using Agent-based Transportation Simulation","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2023-3264","authors":["Ansgar Kirste","Michael Husemann","Eike Stumpf"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-06-08T11:36:49Z","doi":"10.2514/6.2023-3264","addedAt":"2026-08-31T06:39:47.153Z","updatedAt":"2026-08-31T06:39:47.153Z"},{"id":"doi:10.2514/6.2021-2376","name":"Drawing the Highways in the Sky for Urban Air Mobility Operations","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2021-2376","authors":["Mark T. Kotwicz Herniczek","Emre Yilmaz","Olatunde Sanni","Brian German"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2021-07-28T15:32:16Z","doi":"10.2514/6.2021-2376","addedAt":"2026-08-31T06:39:47.153Z","updatedAt":"2026-08-31T06:39:47.153Z"},{"id":"doi:10.23919/acc53348.2022.9867852","name":"Fast optimal trajectory generation for a tiltwing VTOL aircraft with application to urban air mobility","source":"crossref","abstract":"","url":"https://doi.org/10.23919/acc53348.2022.9867852","authors":["Martin Doff-Sotta","Mark Cannon","Marko Bacic"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2022-09-05T20:24:10Z","doi":"10.23919/acc53348.2022.9867852","addedAt":"2026-08-31T06:39:47.153Z","updatedAt":"2026-08-31T06:39:47.153Z"},{"id":"doi:10.3390/drones7060396","name":"Quantifying Visual Pollution from Urban Air Mobility","source":"crossref","abstract":"Unmanned aerial vehicles (UAVs) can bring many benefits, particularly in emergency response and disaster management. However, they also induce negative effects, such as noise and visual pollution, risk, and integrity concerns. In this work, we study visual pollution, developing a quantitative measure that can calculate the visual pollution from one or multiple UAVs. First, the Analytic Hierarchy Process was utilized in an expert workshop to find and rank factors relevant to visual pollution. Then an image-based questionnaire targeted at the general public was used to find relations between the factors. The results show that the two main factors causing visual pollution are the number of UAVs and the distance between a UAV and the observer. They also show that while a UAV used for emergency medical services is as polluting as any other UAV, it is easier to tolerate this pollution. Based on the questionnaire results, two visual pollution functions were developed that can be used when carrying out path planning for one or multiple UAVs. When combining this function with other existing measures for noise pollution, and ground and air risk, it is possible to find paths that will give as little negative impact as possible from urban air mobility.","url":"https://doi.org/10.3390/drones7060396","authors":["Kilian Thomas","Tobias A. Granberg"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-06-15T02:03:19Z","doi":"10.3390/drones7060396","addedAt":"2026-08-31T06:39:47.153Z","updatedAt":"2026-08-31T06:39:47.153Z"},{"id":"doi:10.2514/6.2020-1770","name":"Concept to Flight Test of an Urban Air Mobility Vehicle in a One-Semester Aircraft Design Course","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2020-1770","authors":["Mujahid Abdulrahim"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2020-01-05T17:55:51Z","doi":"10.2514/6.2020-1770","addedAt":"2026-08-31T06:39:47.153Z","updatedAt":"2026-08-31T06:39:47.153Z"},{"id":"doi:10.1109/dasc55683.2022.9925737","name":"Comparison and integration of tactical path planning approaches for Urban Air Mobility","source":"crossref","abstract":"","url":"https://doi.org/10.1109/dasc55683.2022.9925737","authors":["Flavia Causa","Armando Franzone","Giancarmine Fasano"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2022-11-04T01:28:29Z","doi":"10.1109/dasc55683.2022.9925737","addedAt":"2026-08-31T06:39:47.153Z","updatedAt":"2026-08-31T06:39:47.153Z"},{"id":"doi:10.1109/isemv63338.2024.00023","name":"Digital Framework for Urban Air Mobility Simulation","source":"crossref","abstract":"","url":"https://doi.org/10.1109/isemv63338.2024.00023","authors":["Pratik Pradhan","Jeffery Omorodion","Mohsen Rostami","Aditya Venkatesh","Jafer Kamoonpuri","Joon Chung"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-01-10T19:52:25Z","doi":"10.1109/isemv63338.2024.00023","addedAt":"2026-08-31T06:39:47.153Z","updatedAt":"2026-08-31T06:39:48.855Z"},{"id":"doi:10.1109/aero47225.2020.9172534","name":"Urban Air Mobility System Testbed using CAVE Virtual Reality Environment","source":"crossref","abstract":"","url":"https://doi.org/10.1109/aero47225.2020.9172534","authors":["Panadda Marayong","Praveen Shankar","Jessica Wei","Hanson Nguyen","Thomas Z. Strybel","Vernol Battiste"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2020-08-21T16:25:06Z","doi":"10.1109/aero47225.2020.9172534","addedAt":"2026-08-31T06:39:47.153Z","updatedAt":"2026-08-31T06:39:47.153Z"},{"id":"doi:10.1007/s42524-026-5420-z","name":"Vertiport location planning for urban air mobility under flight network connectivity uncertainty","source":"crossref","abstract":"","url":"https://doi.org/10.1007/s42524-026-5420-z","authors":["Wenjing Liu","Ziyu Wang","Yini Chen","Shuai Jia"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-05-28T23:52:37Z","doi":"10.1007/s42524-026-5420-z","addedAt":"2026-08-31T06:39:47.153Z","updatedAt":"2026-08-31T06:39:50.720Z"},{"id":"doi:10.2514/6.2026-1795","name":"Decentralized Conflict Resolution for Urban Air Mobility: A Scalable Agent-based Modeling Approach Using Swarm Intelligence","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2026-1795","authors":["Rajagopal Sugumar","Mustafa I. Akbas"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-01-29T10:19:56Z","doi":"10.2514/6.2026-1795","addedAt":"2026-08-31T06:39:47.153Z","updatedAt":"2026-08-31T06:39:50.719Z"},{"id":"doi:10.1109/tnsm.2026.3728202","name":"From Ground to Air: Making Mobile Networks Ready for Urban Air Mobility","source":"crossref","abstract":"","url":"https://doi.org/10.1109/tnsm.2026.3728202","authors":["Alex Piccioni","Andrea Marotta","Claudia Rinaldi","Dajana Cassioli","Fabio Graziosi"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-08-27T19:08:50Z","doi":"10.1109/tnsm.2026.3728202","addedAt":"2026-08-31T06:39:47.153Z","updatedAt":"2026-08-31T06:39:50.720Z"},{"id":"doi:10.26650/jtl.2025.1622742","name":"Strategic Assessment of eVTOLs for Sustainable Urban Air Mobility Using the CRITIC-Based EDAS Method","source":"crossref","abstract":"","url":"https://doi.org/10.26650/jtl.2025.1622742","authors":["Mehmet Durak"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-03-25T07:23:59Z","doi":"10.26650/jtl.2025.1622742","addedAt":"2026-08-31T06:39:47.153Z","updatedAt":"2026-08-31T06:39:52.012Z"},{"id":"doi:10.2514/6.2020-2907","name":"Analysis of Fleet Management and Infrastructure Constraints in On-Demand Urban Air Mobility Operations","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2020-2907","authors":["Sheng Li","Maxim Egorov","Mykel J. Kochenderfer"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2020-06-08T21:02:08Z","doi":"10.2514/6.2020-2907","addedAt":"2026-08-31T06:39:47.153Z","updatedAt":"2026-08-31T06:39:47.153Z"},{"id":"doi:10.2514/6.2020-3173","name":"Initial Sizing of Hybrid Electric VTOL Aircraft for Intercity Urban Air Mobility","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2020-3173","authors":["Ugur Cakin","Zafer Kaçan","Zeynel Abidin Aydogan","Ipek Kuvvetli"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2020-06-08T21:02:08Z","doi":"10.2514/6.2020-3173","addedAt":"2026-08-31T06:39:47.153Z","updatedAt":"2026-08-31T06:39:47.153Z"},{"id":"doi:10.1016/j.urbmob.2026.100187","name":"Climate-friendly mobility: A possibility for nurses?","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.urbmob.2026.100187","authors":["Hilde Solli"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-01-23T00:55:08Z","doi":"10.1016/j.urbmob.2026.100187","addedAt":"2026-08-31T06:39:47.153Z","updatedAt":"2026-08-31T06:39:50.719Z"},{"id":"doi:10.1121/10.0019015","name":"Assessment of sound propagation for the urban air mobility","source":"crossref","abstract":"The noise generated by vertical takeoff and landing vehicles (VTOL) operating in urban environnement is a determinant factor for the community acceptance. The ray-tracing method used for predicting road and raylway noise in urban areas can also be applied to the Urban Air Mobility context. In densely populated urban area, the multipath of sound wave occurs due to numerous reflections on the buildings walls. Such a configuration generates both constructive and destructive interferences, given rise to a complex shape of the spectra, that can be difficult to explain. To assess ray codes dedicated to road noise for this kind of configurations, simple test cases such as a corner and a canyon based on image sources are proposed. The prediction is performed in octave bands in the frequency range 63 Hz to 8000 Hz, including acoustical source at high altitudes to account for the VTOL flight. A good agreement is found between the reference solution derived from the image-source and the ray tracing technique. In particular close to the corner a significant increase of about 9 dB can be found. When both the source and the microphone are in the canyon, an inscrease up to 14dB can be found.","url":"https://doi.org/10.1121/10.0019015","authors":["Patrice R. Malbéqui"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-04-26T18:53:47Z","doi":"10.1121/10.0019015","addedAt":"2026-08-31T06:39:47.153Z","updatedAt":"2026-08-31T06:39:47.153Z"},{"id":"doi:10.2514/6.2018-3365","name":"Simulation Evaluations of an Autonomous Urban Air Mobility Network Management and Separation Service","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2018-3365","authors":["Christabelle Bosson","Todd A. Lauderdale"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2018-06-24T09:57:23Z","doi":"10.2514/6.2018-3365","addedAt":"2026-08-31T06:39:47.153Z","updatedAt":"2026-08-31T06:39:47.153Z"},{"id":"doi:10.1504/ijsa.2023.10052697","name":"An assessment of current marketing strategies of urban air mobility","source":"crossref","abstract":"","url":"https://doi.org/10.1504/ijsa.2023.10052697","authors":["Volkan Yavas","Rustem Baris Yesilay"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2022-12-08T14:00:12Z","doi":"10.1504/ijsa.2023.10052697","addedAt":"2026-08-31T06:39:47.153Z","updatedAt":"2026-08-31T06:39:47.153Z"},{"id":"doi:10.2514/6.2020-2914","name":"Probabilistically Guaranteed Path Planning for Safe Urban Air Mobility Using Chance Constrained RRT*","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2020-2914","authors":["Pengcheng Wu","Lin Li","Junfei Xie","Jun Chen"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2020-06-08T17:02:08Z","doi":"10.2514/6.2020-2914","addedAt":"2026-08-31T06:39:47.153Z","updatedAt":"2026-08-31T06:39:47.153Z"},{"id":"doi:10.23919/sicefes67750.2025.11236540","name":"Demand Capacity Balancing Algorithm for Urban Air Mobility Using Multi-Agent Reinforcement Learning","source":"crossref","abstract":"","url":"https://doi.org/10.23919/sicefes67750.2025.11236540","authors":["Gaku Sato","Daichi Toratani","Takehiro Higuchi"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-11-24T18:56:22Z","doi":"10.23919/sicefes67750.2025.11236540","addedAt":"2026-08-31T06:39:47.153Z","updatedAt":"2026-08-31T06:39:52.012Z"},{"id":"doi:10.26599/commtr.2026.9640007","name":"Scenario-based testing platform for urban air mobility traffic management systems","source":"crossref","abstract":"","url":"https://doi.org/10.26599/commtr.2026.9640007","authors":["Cong Zhang","Shulu Chen","Kai Wang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-02-25T01:49:48Z","doi":"10.26599/commtr.2026.9640007","addedAt":"2026-08-31T06:39:47.153Z","updatedAt":"2026-08-31T06:39:50.719Z"},{"id":"doi:10.2514/6.2021-1001","name":"Dynamic Vehicle Assessment for Intelligent Contingency Management of Urban Air Mobility Vehicles","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2021-1001","authors":["Newton H. Campbell","Michael J. Acheson","Irene M. Gregory"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2021-01-05T02:59:38Z","doi":"10.2514/6.2021-1001","addedAt":"2026-08-31T06:39:47.153Z","updatedAt":"2026-08-31T06:39:47.153Z"},{"id":"doi:10.2514/6.2021-1899","name":"Total Energy Based Flight Control System Design for a Lift-Plus-Cruise Urban Air Mobility Concept","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2021-1899","authors":["Imon Chakraborty","Aashutosh A. Mishra"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2021-01-05T07:59:38Z","doi":"10.2514/6.2021-1899","addedAt":"2026-08-31T06:39:47.153Z","updatedAt":"2026-08-31T06:39:47.153Z"},{"id":"doi:10.24867/symopis-2024-51-077","name":"MODELLING CAUSES OF COLLISION BETWEEN FLYING VEHICLES IN “URBAN SURFACE AND AIR MOBILITY” CONCEPT USING BAYESIAN BELIEF NETWORK – PART 1: QUALITATIVE MODELS","source":"crossref","abstract":"","url":"https://doi.org/10.24867/symopis-2024-51-077","authors":["ANA GRUJIĆ","FEĐA NETJASOV"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-10-31T21:27:07Z","doi":"10.24867/symopis-2024-51-077","addedAt":"2026-08-31T06:39:47.153Z","updatedAt":"2026-08-31T06:39:48.855Z"},{"id":"doi:10.2514/6.2024-4427","name":"Design of a Six-Tiltrotor Concept Vehicle for Urban Air Mobility","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2024-4427","authors":["Taemin Jeong","Michael Radotich","Wayne Johnson","Christopher Silva"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-09-20T04:30:37Z","doi":"10.2514/6.2024-4427","addedAt":"2026-08-31T06:39:47.153Z","updatedAt":"2026-08-31T06:39:48.854Z"},{"id":"doi:10.2514/6.2024-0718","name":"Benchmark Problem for Autonomous Urban Air Mobility","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2024-0718","authors":["Newton H. Campbell","Irene M. Gregory","Michael J. Acheson","Hari S. Ilangovan","Shivakumar Ranganathan"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-01-29T21:43:20Z","doi":"10.2514/6.2024-0718","addedAt":"2026-08-31T06:39:47.153Z","updatedAt":"2026-08-31T06:39:48.854Z"},{"id":"doi:10.2514/6.2024-3557","name":"Assessing Urban Air Mobility Attractiveness in Jakarta - A Case Study","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2024-3557","authors":["Jonah Gerardus","Adler Edsel","Nick Gunady","Daniel A. DeLaurentis"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-09-20T08:30:37Z","doi":"10.2514/6.2024-3557","addedAt":"2026-08-31T06:39:47.153Z","updatedAt":"2026-08-31T06:39:48.854Z"},{"id":"doi:10.2514/6.2022-3652","name":"Urban Air Mobility in Europe – Assessment of Technology Development and Market Potential from Research and Industry Perspective","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2022-3652","authors":["Kristin Wendt","Lukas Asmer"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2022-06-21T03:07:36Z","doi":"10.2514/6.2022-3652","addedAt":"2026-08-31T06:39:47.153Z","updatedAt":"2026-08-31T06:39:47.153Z"},{"id":"doi:10.1109/aero63441.2025.11068624","name":"Generative Modeling of Microweather Wind Velocities for Urban Air Mobility","source":"crossref","abstract":"","url":"https://doi.org/10.1109/aero63441.2025.11068624","authors":["Tristan A. Shah","Michael C. Stanley","James E. Warner"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-07-14T17:40:12Z","doi":"10.1109/aero63441.2025.11068624","addedAt":"2026-08-31T06:39:47.153Z","updatedAt":"2026-08-31T06:39:52.012Z"},{"id":"doi:10.2514/6.2020-1839","name":"Multi-Agent Autonomous Operations in Urban Air Mobility with Communication Constraints","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2020-1839","authors":["Xuxi Yang","Lisen Deng","Jia Liu","Peng Wei","Husheng Li"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2020-01-05T17:55:51Z","doi":"10.2514/6.2020-1839","addedAt":"2026-08-31T06:39:47.153Z","updatedAt":"2026-08-31T06:39:47.153Z"},{"id":"doi:10.2514/6.2022-2157","name":"Real-Time Generation of Comfort-Optimal Flight Trajectories for Urban Air Mobility Missions","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2022-2157","authors":["Landen McDonald","Yufei Wu","Sabrullah Deniz","Zhenbo Wang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2022-01-04T09:40:50Z","doi":"10.2514/6.2022-2157","addedAt":"2026-08-31T06:39:47.153Z","updatedAt":"2026-08-31T06:39:47.153Z"},{"id":"doi:10.2514/6.2024-4078","name":"Reserved or Not? - Scheduled Urban Air Mobility Services in a Hub-and-Spoke Network","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2024-4078","authors":["Jungu Kang","Sang Hyun Kim"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-09-20T08:30:37Z","doi":"10.2514/6.2024-4078","addedAt":"2026-08-31T06:39:47.153Z","updatedAt":"2026-08-31T06:39:48.854Z"},{"id":"doi:10.2514/6.2021-1115","name":"Adaptive Multi-Sensor Information Fusion For Autonomous Urban Air Mobility Operations","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2021-1115","authors":["Vahram Stepanyan","Thomas Lombaerts","Kimberlee H. Shish","Nick B. Cramer"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2021-01-05T07:59:38Z","doi":"10.2514/6.2021-1115","addedAt":"2026-08-31T06:39:47.153Z","updatedAt":"2026-08-31T06:39:47.153Z"},{"id":"doi:10.1109/icns54818.2022.9771523","name":"Impact of Airspace Restrictions on Urban Air Mobility Commuter Demand Potential","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icns54818.2022.9771523","authors":["Mihir Rimjha","Susan Hotle","Antonio Trani","Nicholas Hinze"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2022-05-12T19:37:44Z","doi":"10.1109/icns54818.2022.9771523","addedAt":"2026-08-31T06:39:47.153Z","updatedAt":"2026-08-31T06:39:47.153Z"},{"id":"doi:10.1016/j.trpro.2019.09.007","name":"Modelling and evaluating urban air mobility – an early research approach","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.trpro.2019.09.007","authors":["Raoul Rothfeld","Milos Balac","Constantinos Antoniou"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2019-11-28T07:31:51Z","doi":"10.1016/j.trpro.2019.09.007","addedAt":"2026-08-31T06:39:47.153Z","updatedAt":"2026-08-31T06:39:47.153Z"},{"id":"doi:10.2514/6.2019-3624","name":"Exploration of Near term Potential Routes and Procedures for Urban Air Mobility","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2019-3624","authors":["Savita Verma","Jillian Keeler","Tamsyn E. Edwards","Victoria Dulchinos"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2019-06-15T09:37:16Z","doi":"10.2514/6.2019-3624","addedAt":"2026-08-31T06:39:47.153Z","updatedAt":"2026-08-31T06:39:47.153Z"},{"id":"doi:10.1109/dasc55683.2022.9925782","name":"Hierarchical Vertiport Network Design for On-Demand Multi-modal Urban Air Mobility","source":"crossref","abstract":"","url":"https://doi.org/10.1109/dasc55683.2022.9925782","authors":["Xin Peng","Vishwanath Bulusu","Raja Sengupta"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2022-11-04T01:28:29Z","doi":"10.1109/dasc55683.2022.9925782","addedAt":"2026-08-31T06:39:47.153Z","updatedAt":"2026-08-31T06:39:47.153Z"},{"id":"doi:10.2514/6.2026-1867.c1","name":"WITHDRAWAL: An Integrated Conceptual-Design Framework for Multicopter Urban Air Mobility Vehicles","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2026-1867.c1","authors":["Danish Faraz","Bilal Mufti","Zakria Toor","Ali Javed"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-02-10T18:29:27Z","doi":"10.2514/6.2026-1867.c1","addedAt":"2026-08-31T06:39:47.153Z","updatedAt":"2026-08-31T06:39:50.719Z"},{"id":"doi:10.2514/6.2026-3366","name":"Numerical Characterization of Acoustic Scattering in an Urban Air Mobility Configuration","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2026-3366","authors":["Maks J. Groom","Leonard V. Lopes","Beckett Zhou"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-05-20T18:06:58Z","doi":"10.2514/6.2026-3366","addedAt":"2026-08-31T06:39:47.153Z","updatedAt":"2026-08-31T06:39:50.719Z"},{"id":"doi:10.2514/6.2021-3200","name":"System of Systems Simulation driven Urban Air Mobility Vehicle Design","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2021-3200","authors":["Prajwal S. Prakasha","Patrick Ratei","Nabih Naeem","Björn Nagel","Oliver Bertram"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2021-07-28T19:32:16Z","doi":"10.2514/6.2021-3200","addedAt":"2026-08-31T06:39:47.153Z","updatedAt":"2026-08-31T06:39:47.153Z"},{"id":"doi:10.5821/dissertation-2117-365530","name":"Evaluating the impact of urban mobility policies on the air quality levels of Barcelona by means of an integrated modelling system","source":"crossref","abstract":"Persistent high levels of NO2 have severe health effects on population. These are often found in large urban conurbations with high vehicle densities. In Barcelona, with one of the highest vehicle densities in Europe, the two traffic air quality monitoring stations are continuously exceeding the limit values established by the 2008/50/EC Ambient Air Quality Directive. To reduce traffic emissions and associated air pollution levels, Barcelona is applying a series of traffic restrictions that attempt to renew and reduce the amount of circulating vehicles within the city. These include the reduction of private vehicle space in specific areas or urban corridors of the city (superblocks and tactical urbanism) and the implementation of a Low Emission Zone (LEZ) that restricts the entrance of most polluting vehicles in the city. In order to quantify and evaluate the level of effectiveness of the applied restrictions, air quality modelling is presented as a necessary tool to complement the information provided by the air quality monitoring stations. In this sense, the present thesis evaluates the impact that the different restrictions have on the resulting NOx emissions and NO2 concentration levels in Barcelona. To accomplish that, we developed an integrated air quality system composed by the VISUM traffic simulator, the emission model HERMESv3 and the street-scale dispersion model CALIOPE-Urban, which integrates the mesoscale CALIOPE air quality forecast system and the Gaussian dispersion model R-LINE. The thesis first explains the coupling, calibration and validation process of the traffic-emission system. This is followed by an emission sensitivity analysis of typically high uncertainty emission features such as different approaches in regard of vehicle fleet composition, public bus transport implementation, temperature effect or the application of non-exhaust PM sources. We also explore the limitations of the developed macroscopic system by comparing it with a microscopic -highly detailed- approach composed by the microscopic traffic simulator Aimsun Next and the PHEMLight vehicle emission model. Finally, we explain the coupling of the traffic-emission system with the mesoscale CALIOPE and street-scale CALIOPE-Urban air quality systems. In this study, we apply the traffic restrictions previously mentioned in Barcelona to observe their effects in traffic routing, traffic emissions and resulting air quality levels at a resolution of 20 meters. Our results show that the only measures with an overall reduction on NOx emissions are the ones considering the LEZ or a reduction on the traffic demand of -25%. The combination of all strategies with the demand reduction shows the highest NOx emission decrease (-30%) while if traffic demand is kept constant, the computed NOx reductions are of -13%. The strategies limited to restrict the vehicle space on the city show a negligible impact on the overall traffic emissions (+0.1%), although they generate important street-level emission gradients, up to +/-17% in NOx. The impact on NO2 air quality levels follows the same pattern as for emissions. The scenarios comprising the LEZ and the -25% demand reduction show the highest NO2 reductions (-5 to -10 and -10 to -20 ug/m3 in daily average NO2 concentration values). The unique application of traffic measures limiting the vehicle space show limited impacts of +/-5 ug/m3 due to traffic re-routing, as previously commented. Considering the obtained results, the reductions achieved are insufficient to ensure compliant air quality levels, and are very far from reaching the new WHO air quality guideline values. The applied restrictions must be accompanied by a larger decrease in the total number of circulating vehicles throughout the city which could be achieved, for instance, by the application of a congestion charge, or the implementation of local zero emission zones similar to the ones that are currently being deployed in the city of London. La persiste","url":"https://doi.org/10.5821/dissertation-2117-365530","authors":["Daniel Rodríguez Rey"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-07-20T06:31:15Z","doi":"10.5821/dissertation-2117-365530","addedAt":"2026-08-31T06:39:47.153Z","updatedAt":"2026-08-31T06:39:47.153Z"},{"id":"doi:10.24867/symopis-2024-51-078","name":"MODELLING CAUSES OF COLLISION BETWEEN FLYING VEHICLES IN “URBAN SURFACE AND AIR MOBILITY” CONCEPT USING BAYESIAN BELIEF NETWORK – PART 2: QUANTITATIVE MODELS","source":"crossref","abstract":"","url":"https://doi.org/10.24867/symopis-2024-51-078","authors":["ANA GRUJIĆ","FEĐA NETJASOV"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-10-31T21:27:07Z","doi":"10.24867/symopis-2024-51-078","addedAt":"2026-08-31T06:39:47.153Z","updatedAt":"2026-08-31T06:39:48.855Z"},{"id":"doi:10.1109/icaiic68212.2026.11454424","name":"GNN-Guided Surrogate-Accelerated Route Optimization for QoS- and QoE-Aware Urban Air Mobility","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icaiic68212.2026.11454424","authors":["Yurika Maeda"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-03-31T19:50:24Z","doi":"10.1109/icaiic68212.2026.11454424","addedAt":"2026-08-31T06:39:47.153Z","updatedAt":"2026-08-31T06:39:50.719Z"},{"id":"doi:10.2514/6.2022-3648","name":"Simulation Studies for an Urban Air Mobility Aircraft using Hardware-In-Loop Experiments","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2022-3648","authors":["Chetan S. Kulkarni","Priyank Pradeep","Gano Broto Chatterji"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2022-06-21T07:07:36Z","doi":"10.2514/6.2022-3648","addedAt":"2026-08-31T06:39:47.153Z","updatedAt":"2026-08-31T06:39:47.153Z"},{"id":"doi:10.4050/f-0078-2022-0090","name":"Examining a Tandem-Rotor Configuration for the Electric Urban Air Mobility Mission","source":"crossref","abstract":"Electric vertical takeoff and landing (eVTOL) vehicles for the urban air mobility mission have seen increased interest in the past five years spurred by rapid improvements in battery and brush-less motor technology. Because of ease of implementation and perceived increase in safety, most designs utilize distributed propulsion through numerous directly-powered small lifting rotors or propellers. This investigation instead considers the largely-overlooked tandemrotor configuration, presents three notional designs, and considers the potential benefits and limitations of such a configuration for the urban air mobility role.","url":"https://doi.org/10.4050/f-0078-2022-0090","authors":["Erik Scott"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-04-22T19:44:46Z","doi":"10.4050/f-0078-2022-0090","addedAt":"2026-08-31T06:39:47.153Z","updatedAt":"2026-08-31T06:39:47.153Z"},{"id":"doi:10.1109/icuas57906.2023.10156164","name":"A Framework for Operational Volume Generation for Urban Air Mobility Strategic Deconfliction","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icuas57906.2023.10156164","authors":["Ellis L. Thompson","Yan Xu","Peng Wei"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-06-26T18:08:46Z","doi":"10.1109/icuas57906.2023.10156164","addedAt":"2026-08-31T06:39:47.153Z","updatedAt":"2026-08-31T06:39:47.153Z"},{"id":"doi:10.1201/9781003746607-6","name":"Advanced Air Mobility Business Development and Marketing","source":"crossref","abstract":"","url":"https://doi.org/10.1201/9781003746607-6","authors":["Lee Nguyen","Melinda Marion"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-05-21T09:32:09Z","doi":"10.1201/9781003746607-6","addedAt":"2026-08-31T06:39:47.153Z","updatedAt":"2026-08-31T06:39:50.720Z"},{"id":"doi:10.2514/6.2021-0882","name":"Deep Learning based Negotiation Strategy Selection for Cooperative Conflict Resolution in Urban Air Mobility","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2021-0882","authors":["Aditya N. Das","Kristina Marotta","Husni Idris"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2021-01-05T02:59:38Z","doi":"10.2514/6.2021-0882","addedAt":"2026-08-31T06:39:47.153Z","updatedAt":"2026-08-31T06:39:47.153Z"},{"id":"doi:10.1504/ijsa.2023.129941","name":"An assessment of current marketing strategies of urban air mobility","source":"crossref","abstract":"","url":"https://doi.org/10.1504/ijsa.2023.129941","authors":["Volkan Yavas","Rustem Baris Yesilay"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-04-04T07:35:40Z","doi":"10.1504/ijsa.2023.129941","addedAt":"2026-08-31T06:39:47.153Z","updatedAt":"2026-08-31T06:39:47.153Z"},{"id":"doi:10.2514/6.2021-0577","name":"Optimal Cruise, Descent, and Landing of eVTOL Vehicles for Urban Air Mobility using Convex Optimization","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2021-0577","authors":["Zhenbo Wang","Peng Wei","Liang Sun"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2021-01-05T02:59:38Z","doi":"10.2514/6.2021-0577","addedAt":"2026-08-31T06:39:47.153Z","updatedAt":"2026-08-31T14:45:35.252Z"},{"id":"doi:10.1016/j.ast.2026.113527","name":"Susceptibility of urban air mobility vehicles to spatiotemporal non-uniform urban wind fields","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.ast.2026.113527","authors":["Mewael A. Abraham","Alessandro Gardi","Vladimir B. Parezanović"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-08-14T15:35:40Z","doi":"10.1016/j.ast.2026.113527","addedAt":"2026-08-31T06:39:47.153Z","updatedAt":"2026-08-31T06:39:50.720Z"},{"id":"doi:10.1016/j.urbmob.2021.100012","name":"Optimizing local and global objectives for sustainable mobility in urban areas","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.urbmob.2021.100012","authors":["Amita Singh","Jannicke Baalsrud Hauge","Magnus Wiktorsson","Utkarsh Upadhyay"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2021-12-24T23:19:54Z","doi":"10.1016/j.urbmob.2021.100012","addedAt":"2026-08-31T06:39:47.153Z","updatedAt":"2026-08-31T06:39:47.153Z"},{"id":"doi:10.1016/j.urbmob.2026.100264","name":"Affective dimensions of perceived safety for older adults’ mobility in urban Indonesia","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.urbmob.2026.100264","authors":["Octaviani Ariyanti","Dora Sampaio","Ajay Bailey"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-08-02T19:41:41Z","doi":"10.1016/j.urbmob.2026.100264","addedAt":"2026-08-31T06:39:47.153Z","updatedAt":"2026-08-31T06:39:50.720Z"},{"id":"doi:10.1016/j.jatrs.2024.100006","name":"Robust optimisation for vertiport location problem considering travel mode choice behaviour in urban air mobility systems","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.jatrs.2024.100006","authors":["Zhongyi Jin","Kam K.H. Ng","Chenliang Zhang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-05-20T22:56:50Z","doi":"10.1016/j.jatrs.2024.100006","addedAt":"2026-08-31T06:39:47.153Z","updatedAt":"2026-08-31T06:39:48.855Z"},{"id":"doi:10.2514/1.d0120","name":"Analysis of Urban Air Mobility Operational Constraints","source":"crossref","abstract":"","url":"https://doi.org/10.2514/1.d0120","authors":["Parker D. Vascik","R. John Hansman","Nicholas S. Dunn"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2018-09-03T02:23:25Z","doi":"10.2514/1.d0120","addedAt":"2026-08-31T06:39:47.153Z","updatedAt":"2026-08-31T06:39:47.153Z"},{"id":"doi:10.12794/metadc2356237","name":"Air to Air Channel Modeling for Advanced Air Mobility Services","source":"crossref","abstract":"A channel model is a mathematical or conceptual representation employed to describe the behavior and characteristics of a communication channel through which signal or data can be transferred from the transmitter (Tx) to the receiver (Rx) or between two transceivers. In wireless communication, the channel model represents the wireless medium with parameters like pathloss, impulse response, and multipath effects. A2A channel poses various challenges when UAVs operate at a higher altitude greater than 1000 ft (305 m). This thesis involves experiments having a range of altitudes from 20 m to 2 km and distances between two transceivers from 5 m to 3 km. This thesis aims to introduce A2A channel by considering and analyzing inherent channel characteristics such as pathloss in terms of line-of-sight (LOS) and non-line-of-sight (NLOS), multipath fading, delay spread, and power delay profile (PDP). These characteristics depend on frequency, altitude of transmitter (Tx) and receiver (Rx), distance between two transceivers, antenna properties, paths taken by the signals, and obstacles. Pathloss, RMS delay spread, and power delay profile have been discussed with the simulated graphs by varying the distances and altitudes. These channel characteristics have been analyzed for different conditions like varying building heights of the city, changing building material, and also changing both building height and material at the same time. Two empirical models, the EL model and the CI model, have been presented along with simulations. Simulation results using mmWave frequency have been shown. The simulations have been performed by Wireless Insite software.","url":"https://doi.org/10.12794/metadc2356237","authors":["Sudesna Das Rochi"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-10-06T16:46:28Z","doi":"10.12794/metadc2356237","addedAt":"2026-08-31T06:39:47.153Z","updatedAt":"2026-08-31T06:39:47.153Z"},{"id":"pmid:32745885","name":"Urban critical infrastructure disruption after a radiological dispersive device event.","source":"pubmed","abstract":"This study aims to evaluate the impacts of the activation of a hypothetical radiological dispersal device (RDD) on the urban critical infrastructure (health facilities and public transport). A densely populated urban region was chosen as a scenery. Additionally, the influence of local environmental factors in the post-detonation process was verified. The source term was Cs-137 due to its mobility in the environment and relative ease of access. The approach used for the evaluation of the consequences was a computer simulation by Gaussian modeling. The HotSpot Health Physics Codes software was applied in conjunction with the RESRAD-RDD software. The results suggest that there is a strong influence of the local atmospheric stability classes (Pasquill-Gifford classes) on both the total equivalent effective dose (TEDE) and soil contamination. Consequently, the impacts on critical urban infrastructure follow the same trend. The method used for comparing the simulated and reference limits was the proportional ratio. All calculated values for radioactive contamination were divided by the reference value adopted by the RESRAD-RDD model for urban critical infrastructure. The results indicate that the information compiled is useful to support the decision-making process, although it is not sufficient to provide care and support for longer periods than those considered in the initial response phase.","url":"https://pubmed.ncbi.nlm.nih.gov/32745885/","authors":["Andrade ER","Reis ALQ","Alves DF","Alves IS","Andrade EVSL","Stenders RM","Federico CA","Silva AX"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2020 Oct","doi":"10.1016/j.jenvrad.2020.106358","addedAt":"2026-08-31T06:39:47.154Z","updatedAt":"2026-08-31T06:39:47.154Z"},{"id":"pmid:32712421","name":"Greenery exposure and suicide mortality later in life: A longitudinal register-based case-control study.","source":"pubmed","abstract":"Exposure to residential greenery accumulates over people's lifetimes, and possibly has a protective association with suicide later in life.","url":"https://pubmed.ncbi.nlm.nih.gov/32712421/","authors":["Helbich M","O'Connor RC","Nieuwenhuijsen M","Hagedoorn P"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2020 Oct","doi":"10.1016/j.envint.2020.105982","addedAt":"2026-08-31T06:39:47.154Z","updatedAt":"2026-08-31T06:39:47.154Z"},{"id":"pmid:32703910","name":"Evolution and epidemic spread of SARS-CoV-2 in Brazil.","source":"pubmed","abstract":"Brazil currently has one of the fastest-growing severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) epidemics in the world. Because of limited available data, assessments of the impact of nonpharmaceutical interventions (NPIs) on this virus spread remain challenging. Using a mobility-driven transmission model, we show that NPIs reduced the reproduction number from &gt;3 to 1 to 1.6 in S&#xe3;o Paulo and Rio de Janeiro. Sequencing of 427 new genomes and analysis of a geographically representative genomic dataset identified &gt;100 international virus introductions in Brazil. We estimate that most (76%) of the Brazilian strains fell in three clades that were introduced from Europe between 22 February and 11 March 2020. During the early epidemic phase, we found that SARS-CoV-2 spread mostly locally and within state borders. After this period, despite sharp decreases in air travel, we estimated multiple exportations from large urban centers that coincided with a 25% increase in average traveled distances in national flights. This study sheds new light on the epidemic transmission and evolutionary trajectories of SARS-CoV-2 lineages in Brazil and provides evidence that current interventions remain insufficient to keep virus transmission under control in this country.","url":"https://pubmed.ncbi.nlm.nih.gov/32703910/","authors":["Candido DS","Claro IM","de Jesus JG","Souza WM","Moreira FRR","Dellicour S","Mellan TA","du Plessis L","Pereira RHM","Sales FCS","Manuli ER","Thézé J","Almeida L","Menezes MT","Voloch CM","Fumagalli MJ","Coletti TM","da Silva CAM","Ramundo MS","Amorim MR","Hoeltgebaum HH","Mishra S","Gill MS","Carvalho LM","Buss LF","Prete CA Jr","Ashworth J","Nakaya HI","Peixoto PS","Brady OJ","Nicholls SM","Tanuri A","Rossi ÁD","Braga CKV","Gerber AL","de C Guimarães AP","Gaburo N Jr","Alencar CS","Ferreira ACS","Lima CX","Levi JE","Granato C","Ferreira GM","Francisco RS Jr","Granja F","Garcia MT","Moretti ML","Perroud MW Jr","Castiñeiras TMPP","Lazari CS","Hill SC","de Souza Santos AA","Simeoni CL","Forato J","Sposito AC","Schreiber AZ","Santos MNN","de Sá CZ","Souza RP","Resende-Moreira LC","Teixeira MM","Hubner J","Leme PAF","Moreira RG","Nogueira ML","Brazil-UK Centre for Arbovirus Discovery, Diagnosis, Genomics and Epidemiology (CADDE) Genomic Network","Ferguson NM","Costa SF","Proenca-Modena JL","Vasconcelos ATR","Bhatt S","Lemey P","Wu CH","Rambaut A","Loman NJ","Aguiar RS","Pybus OG","Sabino EC","Faria NR"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2020 Sep 4","doi":"10.1126/science.abd2161","addedAt":"2026-08-31T06:39:47.154Z","updatedAt":"2026-08-31T06:39:47.154Z"},{"id":"pmid:32644760","name":"Disease assimilation: The mortality impacts of fine particulate matter on immigrants to Canada.","source":"pubmed","abstract":"Immigrants make up 20% of the Canadian population; however, little is known about the mortality impacts of fine particulate matter (PM 2.5 ) air pollution on immigrants compared with non-immigrants, or about how impacts may change with duration in Canada.","url":"https://pubmed.ncbi.nlm.nih.gov/32644760/","authors":["Erickson AC","Christidis T","Pappin A","Brook JR","Crouse DL","Hystad P","Li C","Martin RV","Meng J","Pinault L","von Donkelaar A","Weichenthal S","Tjepkema M","Burnett RT","Brauer M"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2020 Jun 17","doi":"10.25318/82-003-x202000300002-eng","addedAt":"2026-08-31T06:39:47.154Z","updatedAt":"2026-08-31T06:39:47.154Z"},{"id":"pmid:32619844","name":"Coronavirus lockdown helped the environment to bounce back.","source":"pubmed","abstract":"As the transmission of novel corona virus (COVID-19) increases rapidly, the whole world adopted the curfew/lockdown activity with restriction of human mobility. The imposition of quarantine stopped all the commercial activity that greatly affects the various important environmental parameters which directly connected to human health. As all the types of social, economic, industrial and urbanization activity suddenly shut off, nature takes the advantages and showed improvement in the quality of air, cleaner rivers, less noise pollution, undisturbed and calm wildlife. This research aims to discuss the COVID-19 effect on the global environment. The outcome of this research says that \"Although coronavirus vaccine is not available coronavirus itself is earth's vaccine and us humans are the virus\".","url":"https://pubmed.ncbi.nlm.nih.gov/32619844/","authors":["Arora S","Bhaukhandi KD","Mishra PK"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2020 Nov 10","doi":"10.1016/j.scitotenv.2020.140573","addedAt":"2026-08-31T06:39:47.154Z","updatedAt":"2026-08-31T06:39:47.154Z"},{"id":"pmid:32617644","name":"[Designing healthy mobility in cities: how urban planning can promote walking and cycling].","source":"pubmed","abstract":"Mobility is a&#xa0;prerequisite for satisfying essential human needs. Work, education, social participation: all these activities generate regular journeys. Particularly in cities, however, the \"side effects\" of mobility such as traffic jams, traffic accidents, air pollution, noise and the resulting health effects are also evident.The planning of settlement structures, the necessary infrastructures, and the design of urban spaces are tasks of urban planning. Urban planning can have a&#xa0;decisive influence on the means of transport people choose, the distances they travel, and the environmental and health effects associated with these choices.This article examines how urban planning can promote alternatives to motorized individual travel. It focuses in particular on active mobility, such as cycling and walking. The paper begins by presenting the fundamental effects of everyday mobility and the resulting traffic on health. It then gives an overview of the potential for promoting active mobility in Germany and how urban planning and the factors it regulates, such as settlement density or mix of uses, influence mobility decisions. An overview of current initiatives and an in-depth presentation of planning strategies in the cities of Barcelona and Bogot&#xe1; will be used to show which instruments and measures are being used.The article emphasizes that urban planning and the built environment it creates can promote walking and cycling. The examples show, however, that promising initiatives are not realised through spatial planning and the creation of infrastructure alone. Rather, they are cross-sectoral measures aimed at changing the mobility culture in cities.","url":"https://pubmed.ncbi.nlm.nih.gov/32617644/","authors":["Heinrichs D","Jarass J"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2020 Aug","doi":"10.1007/s00103-020-03180-1","addedAt":"2026-08-31T06:39:47.154Z","updatedAt":"2026-08-31T06:39:47.154Z"},{"id":"pmid:32511493","name":"Urban Air Pollution May Enhance COVID-19 Case-Fatality and Mortality Rates in the United States.","source":"pubmed","abstract":"The novel human coronavirus disease 2019 (COVID-19) pandemic has claimed more than 240,000 lives worldwide, causing tremendous public health, social, and economic damages. While the risk factors of COVID-19 are still under investigation, environmental factors, such as urban air pollution, may play an important role in increasing population susceptibility to COVID-19 pathogenesis.","url":"https://pubmed.ncbi.nlm.nih.gov/32511493/","authors":["Liang D","Shi L","Zhao J","Liu P","Schwartz J","Gao S","Sarnat J","Liu Y","Ebelt S","Scovronick N","Chang HH"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2020 May 7","doi":"10.1101/2020.05.04.20090746","addedAt":"2026-08-31T06:39:47.154Z","updatedAt":"2026-08-31T06:39:47.154Z"},{"id":"pmid:32511439","name":"Substantial undocumented infection facilitates the rapid dissemination of novel coronavirus (COVID-19).","source":"pubmed","abstract":"Estimation of the fraction and contagiousness of undocumented novel coronavirus (COVID-19) infections is critical for understanding the overall prevalence and pandemic potential of this disease. Many mild infections are typically not reported and, depending on their contagiousness, may support stealth transmission and the spread of documented infection.","url":"https://pubmed.ncbi.nlm.nih.gov/32511439/","authors":["Li R","Pei S","Chen B","Song Y","Zhang T","Yang W","Shaman J"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2020 Feb 17","doi":"10.1101/2020.02.14.20023127","addedAt":"2026-08-31T06:39:47.154Z","updatedAt":"2026-08-31T06:39:47.154Z"},{"id":"pmid:32501238","name":"Quantifying the impact of particle matter on mortality and hospitalizations in four Brazilian metropolitan areas.","source":"pubmed","abstract":"Air quality management involves investigating areas where pollutant concentrations are above guideline or standard values to minimize its effect on human health. Particulate matter (PM) is one of the most studied pollutants, and its relationship with health has been widely outlined. To guide the construction and improvement of air quality policies, the impact of PM on the four Brazilian southeast metropolitan areas was investigated. One-year long modeling of PM 10 and PM 2.5 was performed with the WRF-Chem model for 2015 to quantify daily and annual PM concentrations in 102 cities. Avoidable mortality due to diverse causes and morbidity due to respiratory and circular system diseases were estimated concerning WHO guidelines, which was adopted in Brazil as a final standard to be reached in the future; although there is no deadline set for its implementation yet. Results showed satisfactory representation of meteorology and ambient PM concentrations. An overestimation in PM concentrations for some monitoring stations was observed, mainly in S&#xe3;o Paulo metropolitan area. Cities around capitals with high modelled annual PM 2.5 concentrations do not monitor this pollutant. The total avoidable deaths estimated for the region, related to PM 2.5 , were 32,000&#xa0;&#xb1;&#xa0;5,300 due to all-cause mortality, between 16,000&#xa0;&#xb1;&#xa0;2,100 and 51,000&#xa0;&#xb1;&#xa0;3,000 due non-accidental causes, between 7,300&#xa0;&#xb1;&#xa0;1,300 and 16,700&#xa0;&#xb1;&#xa0;1,500 due to cardiovascular disease, between 4,750&#xa0;&#xb1;&#xa0;900 and 10,950&#xa0;&#xb1;&#xa0;870 due ischemic heart diseases and 1,220&#xa0;&#xb1;&#xa0;330 avoidable deaths due to lung cancer. Avoidable respiratory hospitalizations were greater for PM 2.5 among 'children' age group than for PM 10 (all age group) except in S&#xe3;o Paulo metropolitan area. For circulatory system diseases, 9,840&#xa0;&#xb1;&#xa0;3,950 avoidable hospitalizations in the elderly related to a decrease in PM 2.5 concentrations were estimated. This study endorses that more restrictive air quality standards, human exposure, and health effects are essential factors to consider in urban air quality management.","url":"https://pubmed.ncbi.nlm.nih.gov/32501238/","authors":["Andreão WL","Pinto JA","Pedruzzi R","Kumar P","Albuquerque TTA"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2020 Sep 15","doi":"10.1016/j.jenvman.2020.110840","addedAt":"2026-08-31T06:39:47.154Z","updatedAt":"2026-08-31T06:39:47.154Z"},{"id":"pmid:32493328","name":"Environmental determinants of population health in urban settings. A systematic review.","source":"pubmed","abstract":"Population health is influenced by interactions between environmental determinants, which are captured by dimensions and indicators. This study aims to systematically review key environmental determinants and respective dimensions and indicators, relevant to evaluate population health in urban settings, and to understand their potential implications into policies.","url":"https://pubmed.ncbi.nlm.nih.gov/32493328/","authors":["Salgado M","Madureira J","Mendes AS","Torres A","Teixeira JP","Oliveira MD"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2020 Jun 3","doi":"10.1186/s12889-020-08905-0","addedAt":"2026-08-31T06:39:47.154Z","updatedAt":"2026-08-31T06:39:47.154Z"},{"id":"pmid:32490267","name":"Evaluation of radon exposure risk and lung cancer incidence/mortality in South-eastern Italy.","source":"pubmed","abstract":"Radon and its decay products may cause substantial health damage after long-term exposure. The aim of the study was to perform a spatial analysis of radon concentration in the Salento peninsula, province of Lecce (South-eastern Italy) in order to better characterize possible risk for human health, with specific focus on lung cancer.","url":"https://pubmed.ncbi.nlm.nih.gov/32490267/","authors":["Maggiore G","DE Filippis G","Totaro T","Tamborino B","Idolo A","Serio F","Castorini IF","Valenzano B","Riccio A","Miani A","Caricato AP","Martino M","DE Donno A","Piscitelli P"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2020 Mar","doi":"10.15167/2421-4248/jpmh2020.61.1.1343","addedAt":"2026-08-31T06:39:47.154Z","updatedAt":"2026-08-31T06:39:47.154Z"},{"id":"pmid:32426542","name":"Pursuing softer urban mobility behaviors through game-based apps.","source":"pubmed","abstract":"Cities are currently engaged through their urban policies in pushing people towards less environmentally impacting mobility modalities: therefore, cycling and walking are strongly promoted, especially by means of new and wider limited traffic and no-cars zones. In this paper, the effectiveness of the new smartphones and apps-based technologies in modifying the mobility behaviors of citizens towards more sustainable choices has been investigated. Specifically, the potential of a smartphone app, directly involving citizens by means of a game rewarding the most sustainable trips, has been tested on a university commuters' group. These latter, starting from their current mobility situation, were challenged by an enhanced scenario characterized by more restrictive and sustainable targets. Promising results have been obtained suggesting that game-based tools could be effectively used as urban policy interventions intended to obtain a more sustainable mobility.","url":"https://pubmed.ncbi.nlm.nih.gov/32426542/","authors":["Di Dio S","Massa F","Nucara A","Peri G","Rizzo G","Schillaci D"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2020 May","doi":"10.1016/j.heliyon.2020.e03930","addedAt":"2026-08-31T06:39:47.154Z","updatedAt":"2026-08-31T06:39:47.154Z"},{"id":"pmid:32401027","name":"On-Demand Automotive Fleet Electrification Can Catalyze Global Transportation Decarbonization and Smart Urban Mobility.","source":"pubmed","abstract":"Mobility on-demand vehicle (MODV) services have grown explosively in recent years, threatening targets for local air pollution and global carbon emissions. Despite evidence that on-demand automotive fleets are ripe for electrification, adoption of battery electric vehicles (BEVs) in fleet applications has been hindered by lack of charging infrastructure and long charging times. Recent research on electrification programs in Chinese megacities suggests that top-down policy targets can spur investment in charging infrastructure, while intelligent charging coordination can greatly reduce requirements for battery range and infrastructure, as well as revenue losses due to time spent charging. Such capability may require labor policy reform to allow fleet operators to manage their drivers' charging behavior, along with collection and integration of several key data sets including (1) vehicle trajectories and energy consumption, (2) charging infrastructure installation costs, and (3) real-time charging station availability. In turn, digitization enabled by fleet electrification holds the potential to enable a host of smart urban mobility strategies, including integration of public transit with innovative transportation systems and emission-based pricing policies.","url":"https://pubmed.ncbi.nlm.nih.gov/32401027/","authors":["Bauer G","Zheng C","Greenblatt JB","Shaheen S","Kammen DM"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2020 Jun 16","doi":"10.1021/acs.est.0c01609","addedAt":"2026-08-31T06:39:47.154Z","updatedAt":"2026-08-31T06:39:47.154Z"},{"id":"pmid:32344630","name":"Study Protocol for the Evaluation of the Health Effects of Superblocks in Barcelona: The \"Salut Als Carrers\" (Health in the Streets) Project.","source":"pubmed","abstract":"Superblocks are currently being introduced in Barcelona to respond to the city's scarcity of green spaces and high levels of air pollution, traffic injuries, and sedentariness. The aim is to calm the streets by reducing the number of square meters dedicated to private vehicles and to reclaim part of this public space for people. Salut als Carrers (Health in the Streets) is a project to evaluate the potential environmental and health effects of the superblock model with an equity perspective in Barcelona. This study aims to explain the various interventions implemented in different neighborhoods in Barcelona and the methods that will be used to evaluate them in a quasi-experimental and health impact assessment (HIA) approaches. Given the complexity of the intervention evaluated, the project employs mixed methodologies. Quantitative methods include: (a) a pre-post health survey of 1200 people randomly selected from the municipal register asked about self-perceived health and quality of life, social support, mental health, mobility, physical activity, neighborhood characteristics, and housing; (b) pre-post environmental measurements, mainly of nitrogen dioxide (NO 2 ), particulate matter of less than 10 &#xb5;m (PM 10 ), and particulate matter of less than 2.5 &#xb5;m (PM 2.5 ) and black carbon; (c) pre-post environmental walkability measures using the Microscale Audit of Pedestrian Streetscapes (MAPS) tool; (d) use of public space and physical activity levels using the System for Observing Play and Recreation in Communities (SOPARC), a validated observation tool; (e) pre-post traffic injury measures with a comparison group; and (f) the comparison and integration of pre-post assessment with previous HIAs and the improvement of future HIAs. Qualitative studies will be performed to analyze residents' perception of these effects by using: (a) various focus groups according to different participant characteristics who are more or less likely to use the superblocks; and (b) a guerrilla ethnography, which is a method that combines ethnographic observation and semi-structured interviews. This study, which evaluates the impact of an ambitious urban-renewal program on health, will help to assess the effectiveness of public policy in terms of health and health inequalities.","url":"https://pubmed.ncbi.nlm.nih.gov/32344630/","authors":["Palència L","León-Gómez BB","Bartoll X","Carrere J","Díez E","Font-Ribera L","Gómez A","López MJ","Marí-Dell'Olmo M","Mehdipanah R","Olabarría M","Pérez G","Puig-Ribera A","Rico M","Rojas-Rueda D","Vásquez-Vera H","Pérez K"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2020 Apr 24","doi":"10.3390/ijerph17082956","addedAt":"2026-08-31T06:39:47.154Z","updatedAt":"2026-08-31T06:39:47.154Z"},{"id":"pmid:32309521","name":"Concurrently Measured Concentrations of Atmospheric Mercury in Indoor (household) and Outdoor Air of Basel, Switzerland.","source":"pubmed","abstract":"Indoor air pollution can be a major health risk because urban populations spend up to 90% of their time in closed rooms. Gaseous elemental mercury (GEM) has not been measured as routinely as other indoor air pollutants due to the high costs and limited mobility of active Hg analyzers. However, household GEM concentrations may exceed Hg air quality guidelines as a result of potential indoor GEM sources like broken Hg thermometers. Here we deploy novel low-cost mercury passive air samplers (MerPAS) in 27 households (7 days) and at 14 outdoor locations (29-31 days) in Basel, Switzerland. Average Hg concentrations ranged from 2.0 to 10.8 ng m -3 indoors and from 1.8 to 2.5 ng m -3 outdoors. These results reveal that households are a net source of Hg to the urban atmosphere and exceed outdoor Hg levels by a factor of 2 on average. We estimated an average weekly intake rate of 0.01 &#x3bc;g of Hg/kg of body weight for adult residents in Basel, which is usually lower than Hg exposure of people with dental amalgam fillings. Our campaign demonstrates that air monitoring programs can easily be complemented by straightforward Hg measurements using MerPAS.","url":"https://pubmed.ncbi.nlm.nih.gov/32309521/","authors":["Wohlgemuth L","McLagan D","Flückiger B","Vienneau D","Osterwalder S"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2020 Apr 14","doi":"10.1021/acs.estlett.0c00110","addedAt":"2026-08-31T06:39:47.154Z","updatedAt":"2026-08-31T06:39:47.154Z"},{"id":"pmid:32304868","name":"Cyclist crash rates and risk factors in a prospective cohort in seven European cities.","source":"pubmed","abstract":"Increased cycling uptake can improve population health, but barriers include real and perceived risks. Crash risk factors are important to understand in order to improve safety and increase cycling uptake. Many studies of cycling crash risk are based on combining diverse sources of crash and exposure data, such as police databases (crashes) and travel surveys (exposure), based on shared geography and time. When conflating crash and exposure data from different sources, the risk factors that can be quantified are only those variables common to both datasets, which tend to be limited to geography (e.g. countries, provinces, municipalities) and a few general road user characteristics (e.g. gender and age strata). The Physical Activity through Sustainable Transport Approaches (PASTA) project was a prospective cohort study that collected both crash and exposure data from seven European cities (Antwerp, Barcelona, London, &#xd6;rebro, Rome, Vienna and Z&#xfc;rich). The goal of this research was to use data from the PASTA project to quantify exposure-adjusted crash rates and model adjusted crash risk factors, including detailed sociodemographic characteristics, attitudes about transportation, neighbourhood built environment features and location by city. We used negative binomial regression to model the influence of risk factors independent of exposure. Of the 4,180 cyclists, 10.2 % reported 535 crashes. We found that overall crash rates were 6.7 times higher in London, the city with the highest crash rate, relative to &#xd6;rebro, the city with the lowest rate. Differences in overall crash rates between cities are driven largely by crashes that did not require medical treatment and that involved motor-vehicles. In a parsimonious crash risk model, we found higher crash risks for less frequent cyclists, men, those who perceive cycling to not be well regarded in their neighbourhood, and those who live in areas of very high building density. Longitudinal collection of crash and exposure data can provide important insights into individual differences in crash risk. Substantial differences in crash risks between cities, neighbourhoods and population groups suggest there is great potential for improvement in cycling safety.","url":"https://pubmed.ncbi.nlm.nih.gov/32304868/","authors":["Branion-Calles M","Götschi T","Nelson T","Anaya-Boig E","Avila-Palencia I","Castro A","Cole-Hunter T","de Nazelle A","Dons E","Gaupp-Berghausen M","Gerike R","Int Panis L","Kahlmeier S","Nieuwenhuijsen M","Rojas-Rueda D","Winters M"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2020 Jun","doi":"10.1016/j.aap.2020.105540","addedAt":"2026-08-31T06:39:47.154Z","updatedAt":"2026-08-31T06:39:47.154Z"},{"id":"pmid:32268284","name":"A multi-city air pollution population exposure study: Combined use of chemical-transport and random-Forest models with dynamic population data.","source":"pubmed","abstract":"Cities are severely affected by air pollution. Local emissions and urban structures can produce large spatial heterogeneities. We aim to improve the estimation of NO 2 , O 3 , PM 2.5 and PM 10 concentrations in 6 Italian metropolitan areas, using chemical-transport and machine learning models, and to assess the effect on population exposure by using information on urban population mobility. Three years (2013-2015) of simulations were performed by the Chemical-Transport Model (CTM) FARM, at 1&#xa0;km resolution, fed by boundary conditions provided by national-scale simulations, local emission inventories and meteorological fields. A downscaling of daily air pollutants at higher resolution (200&#xa0;m) was then carried out by means of a machine learning Random-Forest (RF) model, considering CTM and spatial-temporal predictors, such as population, land-use, surface greenness and vehicular traffic, as input. RF achieved mean cross-validation (CV) R 2 of 0.59, 0.72, 0.76 and 0.75 for NO 2 , PM 10 , PM 2.5 and O 3 , respectively, improving results from CTM alone. Mean concentration fields exhibited clear geographical gradients caused by climate conditions, local emission sources and photochemical processes. Time series of population weighted exposure (PWE) were estimated for two months of the year 2015 and for five cities, by combining population mobility data (derived from mobile phone traffic volumes data), and concentration levels from the RF model. PWE_RF metric better approximated the observed concentrations compared with the predictions from either CTM alone or CTM and RF combined, especially for pollutants exhibiting strong spatial gradients, such as NO 2 . 50% of the population was estimated to be exposed to NO 2 concentrations between 12 and 38&#xa0;&#x3bc;g/m 3 and PM 10 between 20 and 35&#xa0;&#x3bc;g/m 3 . This work supports the potential of machine learning methods in predicting air pollutant levels in urban areas at high spatial and temporal resolutions.","url":"https://pubmed.ncbi.nlm.nih.gov/32268284/","authors":["Gariazzo C","Carlino G","Silibello C","Renzi M","Finardi S","Pepe N","Radice P","Forastiere F","Michelozzi P","Viegi G","Stafoggia M","BEEP Collaborative Group"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2020 Jul 1","doi":"10.1016/j.scitotenv.2020.138102","addedAt":"2026-08-31T06:39:47.154Z","updatedAt":"2026-08-31T06:39:47.154Z"},{"id":"pmid:32235712","name":"Integrating Modes of Transport in a Dynamic Modelling Approach to Evaluate Population Exposure to Ambient NO(2) and PM(2.5) Pollution in Urban Areas.","source":"pubmed","abstract":"To evaluate the effectiveness of alternative policies and measures to reduce air pollution effects on urban citizen's health, population exposure assessments are needed. Due to road traffic emissions being a major source of emissions and exposure in European cities, it is necessary to account for differentiated transport environments in population dynamics for exposure studies. In this study, we applied a modelling system to evaluate population exposure in the urban area of Hamburg in 2016. The modeling system consists of an urban-scale chemistry transport model to account for ambient air pollutant concentrations and a dynamic time-microenvironment-activity (TMA) approach, which accounts for population dynamics in different environments as well as for infiltration of outdoor to indoor air pollution. We integrated different modes of transport in the TMA approach to improve population exposure assessments in transport environments. The newly developed approach reports 12% more total exposure to NO 2 and 19% more to PM 2.5 compared with exposure estimates based on residential addresses. During the time people spend in different transport environments, the in-car environment contributes with 40% and 33% to the annual sum of exposure to NO 2 and PM 2.5 , in the walking environment with 26% and 30%, in the cycling environment with 15% and 17% and other environments (buses, subway, suburban, and regional trains) with less than 10% respectively. The relative contribution of road traffic emissions to population exposure is highest in the in-car environment (57% for NO 2 and 15% for PM 2.5 ). Results for population-weighted exposure revealed exposure to PM 2.5 concentrations above the WHO AQG limit value in the cycling environment. Uncertainties for the exposure contributions arising from emissions and infiltration from outdoor to indoor pollutant concentrations range from -12% to +7% for NO 2 and PM 2.5 . The developed \"dynamic transport approach\" is integrated in a computationally efficient exposure model, which is generally applicable in European urban areas. The presented methodology is promoted for use in urban mobility planning, e.g., to investigate on policy-driven changes in modal split and their combined effect on emissions, population activity and population exposure.","url":"https://pubmed.ncbi.nlm.nih.gov/32235712/","authors":["Ramacher MOP","Karl M"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2020 Mar 22","doi":"10.3390/ijerph17062099","addedAt":"2026-08-31T06:39:47.154Z","updatedAt":"2026-08-31T06:39:47.154Z"},{"id":"pmid:32211367","name":"Urban Transformations and Health: Methods for TrUST-a Natural Experiment Evaluating the Impacts of a Mass Transit Cable Car in Bogotá, Colombia.","source":"pubmed","abstract":"Background: Cable cars provide urban mobility benefits for vulnerable populations. However, no evaluation has assessed cable cars' impact from a health perspective. TransMiCable in Bogot&#xe1;, Colombia, provides a unique opportunity to (1) assess the effects of its implementation on the environmental and social determinants of health (microenvironment pollution, transport accessibility, physical environment, employment, social capital, and leisure time), physical activity, and health outcomes (health-related quality of life, respiratory diseases, and homicides); and (2) use citizen science methods to identify, prioritize, and communicate the most salient negative and positive features impacting health and quality of life in TransMiCable's area, as well as facilitate a consensus and advocacy-building change process among community members, policymakers, and academic researchers. Methods: TrUST (In Spanish: Transformaciones Urbanas y Salud: el caso de TransMiCable en Bogot&#xe1;) is a quasi-experimental study using a mixed-methods approach. The intervention group includes adults from Ciudad Bol&#xed;var, the area of influence of TransMiCable. The control group includes adults from San Crist&#xf3;bal, an area of future expansion for TransMiCable. A conceptual framework was developed through group-model building. Outcomes related to environmental and social determinants of health as well as health outcomes are assessed using questionnaires (health outcomes, physical activity, and perceptions), secondary data (crime and respiratory outcomes) use of portable devices (air pollution exposure and accelerometry), mobility tracking apps (for transport trajectories), and direct observation (parks). The Stanford Healthy Neighborhood Discovery Tool is being used to capture residents' perceptions of their physical and social environments as part of the citizen science component of the investigation. Discussion: TrUST is innovative in its use of a mixed-methods, and interdisciplinary research approach, and in its systematic engagement of citizens and policymakers throughout the design and evaluation process. This study will help to understand better how to maximize health benefits and minimize unintended negative consequences of TransMiCable.","url":"https://pubmed.ncbi.nlm.nih.gov/32211367/","authors":["Sarmiento OL","Higuera-Mendieta D","Wilches-Mogollon MA","Guzman LA","Rodríguez DA","Morales R","Méndez D","Bedoya C","Linares-Vásquez M","Arévalo MI","Martínez-Herrera E","Montes F","Meisel JD","Useche AF","García E","Triana CA","Medaglia AL","Hessel P","Arellana J","Moncada C","King AC","Diez Roux AV"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2020","doi":"10.3389/fpubh.2020.00064","addedAt":"2026-08-31T06:39:47.154Z","updatedAt":"2026-08-31T06:39:47.154Z"},{"id":"pmid:32198680","name":"Environmental concerns and switching toward electric vehicles: geographic and institutional perspectives.","source":"pubmed","abstract":"Smog pollution deteriorates environmental quality and has severe health risks. This affects the daily lives of people in China, particularly in urban areas. Along with other factors, a large portion for smog comes from transportations, making it dense and more hazardous in urban areas. The Chinese government aims to reduce air pollution by promoting electric vehicles and green modes for mobility along with other environmental protection measures. The study explores the switching intentions of people from motorized vehicles to electric vehicles by integrating push-pull-mooring model and institutional theory. The study incorporates environmental quality, regulative environment, alternative attractiveness, normative environment, self-(decision)efficacy, and willingness to pay into an integrated framework. The study further analyzes the green behavior of consumers by extending switching intentions for electric vehicles. The integrated framework explains mooring as the most influential factor followed by normative environment from pull factors and environmental quality from push factors. The effect of regulative environment remains weak and significant, but the effect of alternative attractiveness remains weak and insignificant. The switching intentions strongly and significantly explain green behavior. Furthermore, mooring moderates the relationship between push factors, some of the pull factors, and switching intentions.","url":"https://pubmed.ncbi.nlm.nih.gov/32198680/","authors":["Sajjad A","Asmi F","Chu J","Anwar MA"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2020 Nov","doi":"10.1007/s11356-020-08311-4","addedAt":"2026-08-31T06:39:47.154Z","updatedAt":"2026-08-31T06:39:47.154Z"},{"id":"pmid:32179701","name":"Substantial undocumented infection facilitates the rapid dissemination of novel coronavirus (SARS-CoV-2).","source":"pubmed","abstract":"Estimation of the prevalence and contagiousness of undocumented novel coronavirus [severe acute respiratory syndrome-coronavirus 2 (SARS-CoV-2)] infections is critical for understanding the overall prevalence and pandemic potential of this disease. Here, we use observations of reported infection within China, in conjunction with mobility data, a networked dynamic metapopulation model, and Bayesian inference, to infer critical epidemiological characteristics associated with SARS-CoV-2, including the fraction of undocumented infections and their contagiousness. We estimate that 86% of all infections were undocumented [95% credible interval (CI): 82-90%] before the 23 January 2020 travel restrictions. The transmission rate of undocumented infections per person was 55% the transmission rate of documented infections (95% CI: 46-62%), yet, because of their greater numbers, undocumented infections were the source of 79% of the documented cases. These findings explain the rapid geographic spread of SARS-CoV-2 and indicate that containment of this virus will be particularly challenging.","url":"https://pubmed.ncbi.nlm.nih.gov/32179701/","authors":["Li R","Pei S","Chen B","Song Y","Zhang T","Yang W","Shaman J"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2020 May 1","doi":"10.1126/science.abb3221","addedAt":"2026-08-31T06:39:47.154Z","updatedAt":"2026-08-31T06:39:47.154Z"},{"id":"pmid:32155490","name":"Influence of travel behaviour and daily mobility on exposure to traffic-related air pollution.","source":"pubmed","abstract":"This study evaluates the daily exposure of urban residents across various commuting modes and destinations by intersecting data from a travel survey with exposure surfaces for ultrafine particles and black carbon, in Toronto, Canada. We demonstrate that exposure misclassification is bound to arise when we approximate daily exposure with the concentration at the home location. We also identify potential inequities in the distribution of exposure to traffic-related air pollution whereby those who are mostly responsible for the generation of traffic-related air pollution (drivers and passengers) are exposed the least while active commuters and transit riders, are exposed the most.","url":"https://pubmed.ncbi.nlm.nih.gov/32155490/","authors":["Shekarrizfard M","Minet L","Miller E","Yusuf B","Weichenthal S","Hatzopoulou M"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2020 May","doi":"10.1016/j.envres.2020.109326","addedAt":"2026-08-31T06:39:47.154Z","updatedAt":"2026-08-31T06:39:47.154Z"},{"id":"pmid:32130215","name":"Energy self-sufficient households with photovoltaics and electric vehicles are feasible in temperate climate.","source":"pubmed","abstract":"The idea that households produce and consume their own energy, that is, energy self-sufficiency at a very local level, captures the popular imagination and commands political support across parts of Europe. This paper investigates the technical and economic feasibility of household energy self-sufficiency in Switzerland, which can be seen as representative for other regions with a temperate climate, by 2050. We compare sixteen cases that vary across four dimensions: household type, building type, electricity demand reduction, and passenger vehicle use patterns. We assume that photovoltaic (PV) electricity supplies all energy, which implies a complete shift away from fossil fuel based heating and internal combustion engine vehicles. Two energy storage technologies are considered: short-term storage in lithium-ion batteries and long-term storage with hydrogen, requiring an electrolyzer, storage tank, and a fuel cell for electricity conversion. We examine technological feasibility and total system costs for self-sufficient households compared to base cases that rely on fossil fuels and the existing power grid. PV efficiency and available rooftop/facade area are most critical with respect to the overall energy balance. Single-family dwellings with profound electricity demand reduction and urban mobility patterns achieve self-sufficiency most easily. Multi-family buildings with conventional electricity demand and rural mobility patterns can only be self-sufficient if PV efficiency increases, and all of the roof plus most of the facade can be covered with PV. All self-sufficient cases are technically feasible but more expensive than fully electrified grid-connected cases. Self-sufficiency may even become cost-competitive in some cases depending on storage and fossil fuel prices. Thus, if political measures improve their financial attractiveness or individuals decide to shoulder the necessary investments, self-sufficient buildings may start to become increasingly prevalent.","url":"https://pubmed.ncbi.nlm.nih.gov/32130215/","authors":["Gstöhl U","Pfenninger S"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2020","doi":"10.1371/journal.pone.0227368","addedAt":"2026-08-31T06:39:47.154Z","updatedAt":"2026-08-31T06:39:47.154Z"},{"id":"pmid:32121462","name":"Validation of Low-Cost Sensors in Measuring Real-Time PM(10) Concentrations at Two Sites in Delhi National Capital Region.","source":"pubmed","abstract":"In the present study, we assessed for the first time the performance of our custom-designed low-cost Particulate Matter (PM) monitoring devices (Atmos) in measuring PM 10 concentrations. We examined the ambient PM 10 levels during an intense measurement campaign at two sites in the Delhi National Capital Region (NCR), India. In this study, we validated the un-calibrated Atmos for measuring ambient PM 10 concentrations at highly polluted monitoring sites. PM 10 concentration from Atmos, containing laser scattering-based Plantower PM sensor, was comparable with that measured from research-grade scanning mobility particle sizers (SMPS) in combination with optical particle sizers (OPS) and aerodynamic particle sizers (APS). The un-calibrated sensors often provided accurate PM 10 measurements, particularly in capturing real-time hourly concentrations variations. Quantile-Quantile plots (QQ-plots) for data collected during the selected deployment period showed positively skewed PM 10 datasets. Strong Spearman's rank-order correlations ( r s = 0.64-0.83) between the studied instruments indicated the utility of low-cost Plantower PM sensors in measuring PM 10 in the real-world context. Additionally, the heat map for weekly datasets demonstrated high R 2 values, establishing the efficacy of PM sensor in PM 10 measurement in highly polluted environmental conditions.","url":"https://pubmed.ncbi.nlm.nih.gov/32121462/","authors":["Sahu R","Dixit KK","Mishra S","Kumar P","Shukla AK","Sutaria R","Tiwari S","Tripathi SN"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2020 Feb 29","doi":"10.3390/s20051347","addedAt":"2026-08-31T06:39:47.154Z","updatedAt":"2026-08-31T06:39:47.154Z"},{"id":"pmid:32092516","name":"Environmental impacts of introducing cable cars in the Andean landscape: A case study for Kuelap, Peru.","source":"pubmed","abstract":"Cable cars have slowly become a popular means of transport beyond their classical use at ski resorts. In Latin America their use has thrived to access archaeological sites in the Andes, but also in urban environments for mass transit. Despite some apparent benefits of these systems, the current literature is scarce in terms of quantifying the environmental profile of cable cars. Hence, their environmental performance as compared to other means of transport remains essentially unexplored. Therefore, the main objective of this study was to provide a comparative environmental analysis, using Life Cycle Assessment (LCA) methodology, of the two existing transport methods to visit the Kuelap Archaeological Complex, in northern Peru: a recently built cableway system and the alternative unpaved winding road. An attributional LCA perspective was performed for several impact categories, including global warming and particulate matter formation. In addition, a scenario analysis and an uncertainty analysis, using Monte Carlo simulation, were conducted to account for deterministic and stochastic results interpretation. Results demonstrated that succulent environmental benefits are attained when cable cars substitute road transport in complex Andean orographic conditions. However, the rebound effects of reducing traveling times significantly, as well as social and biodiversity aspects, should be analyzed in further depth to complement the environmental analysis.","url":"https://pubmed.ncbi.nlm.nih.gov/32092516/","authors":["Biberos-Bendezú K","Vázquez-Rowe I"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2020 May 20","doi":"10.1016/j.scitotenv.2020.137323","addedAt":"2026-08-31T06:39:47.154Z","updatedAt":"2026-08-31T06:39:47.154Z"},{"id":"pmid:32074958","name":"Who Could Not Avoid Exposure to High Levels of Residence-Based Pollution by Daily Mobility? Evidence of Air Pollution Exposure from the Perspective of the Neighborhood Effect Averaging Problem (NEAP).","source":"pubmed","abstract":"It has been widely acknowledged that air pollution has a considerable adverse impact on people's health. Disadvantaged groups such as low-income people are often found to experience greater negative effects of environmental pollution. Thus, improving the accuracy of air pollution exposure assessment might be essential to policy-making. Recently, the neighborhood effect averaging problem (NEAP) has been identified as a specific form of possible bias when assessing individual exposure to air pollution and its health impacts. In this paper, we assessed the real-time air pollution exposure and residential-based exposure of 106 participants in a high-pollution community in Beijing, China. The study found that: (1) there are significant differences between the two assessments; (2) most participants experienced the NEAP and could lower their exposure by their daily mobility; (3) three vulnerable groups with low daily mobility and could not avoid the high pollution in their residential neighborhoods were identified as exceptions to this: low-income people who have low levels of daily mobility and limited travel outside their residential neighborhoods, blue-collar workers who spend long hours at low-end workplaces, and elderly people who face many household constraints. Public policies thus need to focus on the hidden environmental injustice revealed by the NEAP in order to improve the well-being of these environmentally vulnerable groups.","url":"https://pubmed.ncbi.nlm.nih.gov/32074958/","authors":["Ma X","Li X","Kwan MP","Chai Y"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2020 Feb 14","doi":"10.3390/ijerph17041223","addedAt":"2026-08-31T06:39:47.154Z","updatedAt":"2026-08-31T06:39:47.154Z"},{"id":"pmid:32041018","name":"The atmospheric impacts of initiatives advancing shifts towards low-emission mobility: A scoping review.","source":"pubmed","abstract":"In an urban environment, people's daily traffic choices are reflected in emissions and the resulting local air composition, or air quality. Traffic contributes to the emissions of both carbon dioxide (CO 2 ), affecting climate, and particulate matter (PM), affecting atmospheric chemistry and human health. While the development of city infrastructure is not in the hands of individuals, it is their transport mode choices that constitute traffic. In this scoping review we analyse 108 initiatives from around the world potentially influencing individual travel behaviour and producing changes in the shares of different transport modes (modal shifts). The targets, types and techniques of initiatives are identified. Examples of economic, regulative, structural and persuasive initiatives are included. Special focus is on whether the impacts on CO 2 emissions, PM emissions and/or PM concentrations have been quantitatively evaluated, and on the quality and results of the evaluations. We observe that a variety of targets can motivate actions that lead to modal shifts and emission reductions. The results indicate that the level of atmospheric evaluations is low: absolute or relative changes in emissions and/or concentrations had been evaluated for only 31% (N&#xa0;=&#xa0;34) of the reviewed initiatives, with substantial heterogeneity in quality. Sanctions, such as congestion charge and restrictions, have more likely been evaluated in peer reviewed analyses than incentives. Scientific evaluations of impacts on ambient PM concentrations are especially scarce (N&#xa0;=&#xa0;4), although Air Quality is the primary target of 13% of actions and secondary target for at least 12%. We discuss the determinants of success and failure, when it comes to different types of initiatives, emission reductions and evaluations. A high-quality evaluation of atmospheric impacts captures the following: correct data about the modal shift (rate and direction), exclusion of external factors affecting the shift and emissions, and possible indirect impacts of the shift.","url":"https://pubmed.ncbi.nlm.nih.gov/32041018/","authors":["Hulkkonen M","Mielonen T","Prisle NL"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2020 Apr 15","doi":"10.1016/j.scitotenv.2019.136133","addedAt":"2026-08-31T06:39:47.154Z","updatedAt":"2026-08-31T06:39:47.154Z"},{"id":"pmid:31956677","name":"Spatio-temporal data on the air pollutant nitrogen dioxide derived from Sentinel satellite for France.","source":"pubmed","abstract":"Monitoring of air pollution is an important task in public health. Availability of data is often hindered by the paucity of the ground monitoring station network. We present here a new spatio-temporal dataset collected and processed from the Sentinel 5P remote sensing platform. As an example application, we applied the full workflow to process measurements of nitrogen dioxide (NO 2 ) collected over the territory of mainland France from May 2018 to June 2019. The data stack generated is daily measurements at a 4&#xa0;&#xd7;&#xa0;7 km spatial resolution. The supplementary Python code package used to collect and process the data is made publicly available. The dataset provided in this article is of value for policy-makers and health assessment.","url":"https://pubmed.ncbi.nlm.nih.gov/31956677/","authors":["Omrani H","Omrani B","Parmentier B","Helbich M"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2020 Feb","doi":"10.1016/j.dib.2019.105089","addedAt":"2026-08-31T06:39:47.154Z","updatedAt":"2026-08-31T06:39:47.154Z"},{"id":"pmid:31860344","name":"Mining the Thin Air-for Understanding of Urban Society.","source":"pubmed","abstract":"We explore the potential of crowd-sourced information on human mobility and activities in an urban population drawn from a significant fraction of smartphones in the Los Angeles basin during February-May 2015. The raw dataset was collected by WeFi, a smartphone app provider. The dataset is noisy, irregular, and lean; however, it is large scale (over a billion events), cheap to collect, and arguably unbiased. We employ the state-of-the-art Big Data techniques to turn this structurally thin dataset into semantically rich insights on commuting, overworking, recreational traveling, shopping, and fast food consumption of the Greater LA population. For example, we reveal that Greater LA residents commute substantially longer than what is reported in the US census data. Also, we show that younger individuals dine at McDonald's significantly more than the older population does. Our results have implications for public health, inequality, urban traffic, and other research areas in social sciences. The large number of phones participating in our \"crowd\" makes it possible to obtain those results without the risk of compromising individual privacy.","url":"https://pubmed.ncbi.nlm.nih.gov/31860344/","authors":["Bekkerman R","Zmirli A","Kirkpatrick S"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2019 Dec","doi":"10.1089/big.2019.0026","addedAt":"2026-08-31T06:39:47.154Z","updatedAt":"2026-08-31T06:39:47.154Z"},{"id":"pmid:31856877","name":"Urban health: an example of a \"health in all policies\" approach in the context of SDGs implementation.","source":"pubmed","abstract":"Cities are an important driving force to implement the Sustainable Development Goals (SDGs) and the New Urban Agenda. The SDGs provide an operational framework to consider urbanization globally, while providing local mechanisms for action and careful attention to closing the gaps in the distribution of health gains. While health and well-being are explicitly addressed in SDG 3, health is also present as a pre condition of SDG 11, that aims at inclusive, safe, resilient and sustainable cities. Health in All Policies (HiAP) is an approach to public policy across sectors that systematically takes into account the health implications of decisions, seeks synergies, and avoids harmful health impacts in order to improve population health and health equity. HiAP is key for local decision-making processes in the context of urban policies to promote public health interventions aimed at achieving SDG targets. HiAPs relies heavily on the use of scientific evidence and evaluation tools, such as health impact assessments (HIAs). HIAs may include city-level quantitative burden of disease, health economic assessments, and citizen and other stakeholders' involvement to inform the integration of health recommendations in urban policies. The Barcelona Institute for Global Health (ISGlobal)'s Urban Planning, Environment and Health Initiative provides an example of a successful model of translating scientific evidence into policy and practice with regards to sustainable and healthy urban development. The experiences collected through ISGlobal's participation implementing HIAs in several cities worldwide as a way to promote HiAP are the basis for this analysis.","url":"https://pubmed.ncbi.nlm.nih.gov/31856877/","authors":["Ramirez-Rubio O","Daher C","Fanjul G","Gascon M","Mueller N","Pajín L","Plasencia A","Rojas-Rueda D","Thondoo M","Nieuwenhuijsen MJ"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2019 Dec 18","doi":"10.1186/s12992-019-0529-z","addedAt":"2026-08-31T06:39:47.154Z","updatedAt":"2026-08-31T06:39:47.154Z"},{"id":"pmid:31855700","name":"Estimating exposure to fine particulate matter emissions from vehicle traffic: Exposure misclassification and daily activity patterns in a large, sprawling region.","source":"pubmed","abstract":"Vehicle traffic is responsible for a significant portion of toxic air pollution in urban areas that has been linked to a wide range of adverse health outcomes. Most vehicle air quality analyses used for transportation planning and health effect studies estimate exposure from the measured or modeled concentration of an air pollutant at a person's home. This study evaluates exposure to fine particulate matter from vehicle traffic and the magnitude and cause of exposure misclassification that result from not accounting for population mobility during the day in a large, sprawling region. We develop a dynamic exposure model by integrating activity-based travel demand, vehicle emission, and air dispersion models to evaluate the magnitude, components and spatial patterns of vehicle exposure misclassification in the Atlanta, Georgia metropolitan area. Overall, we find that population exposure estimates increase by 51% when population mobility is accounted for. Errors are much larger in suburban and rural areas where exposure is underestimated while exposure may be overestimated near high volume roadways and in the urban core. Exposure while at work and traveling account for much of the error. We find much larger errors than prior studies, all of which have focused on more compact urban regions. Since many people spend a large part of their day away from their homes and vehicle emissions are known to create \"hotspots\" along roadways, home-based exposure is unlikely to be a robust estimator of a person's actual exposure. Accounting for population mobility in vehicle emission exposure studies may reveal more effective mitigation strategies, important differences in exposure between population groups with different travel patterns, and reduce exposure misclassification in health studies.","url":"https://pubmed.ncbi.nlm.nih.gov/31855700/","authors":["Tayarani M","Rowangould G"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2020 Mar","doi":"10.1016/j.envres.2019.108999","addedAt":"2026-08-31T06:39:47.154Z","updatedAt":"2026-08-31T06:39:47.154Z"},{"id":"pmid:31837845","name":"The relationship between aerosol concentration and atmospheric potential gradient in urban environments.","source":"pubmed","abstract":"Urban aerosol is a growing concern for people living within cities; aerosol have been implicated in many ill health conditions, including that of the lung and of the heart. Atmospheric potential gradient is a consequence of charge carried to the ionosphere through thunderstorms, and its value depends on highly electrically mobile ion concentrations, hence local conductivity of the air. Ions attach to aerosol in the atmosphere, reducing their mobility and therefore increasing the potential gradient, and so potential gradient measurements have been suggested as a proxy for aerosol measurements. Particle number count, size distribution and potential gradient were measured for two campaigns in Manchester, U.K., and one campaign in Bristol, U.K. Using a factor based on size distribution to account for preferential attachment at larger sizes provided the best relationship with potential gradient, but particle count alone showed a weaker, but similar relationship. The increase in particle count caused by annual bonfire and fireworks celebrations (November) was evidenced in both potential gradient and particle numbers. Daily regression or correlation did not show a consistent relationship. In the larger Bristol data set, increasing humidity led to a reduction of potential gradient, while increasing particle number led to an increase.","url":"https://pubmed.ncbi.nlm.nih.gov/31837845/","authors":["Wright MD","Matthews JC","Silva HG","Bacak A","Percival C","Shallcross DE"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2020 May 10","doi":"10.1016/j.scitotenv.2019.134959","addedAt":"2026-08-31T06:39:47.154Z","updatedAt":"2026-08-31T06:39:47.154Z"},{"id":"pmid:31771167","name":"Preliminary Design of a Model-Free Synthetic Sensor for Aerodynamic Angle Estimation for Commercial Aviation.","source":"pubmed","abstract":"Heterogeneity of the small aircraft category (e.g., small air transport (SAT), urban air mobility (UAM), unmanned aircraft system (UAS)), modern avionic solution (e.g., fly-by-wire (FBW)) and reduced aircraft (A/C) size require more compact, integrated, digital and modular air data system (ADS) able to measure data from the external environment. The MIDAS project, funded in the frame of the Clean Sky 2 program, aims to satisfy those recent requirements with an ADS certified for commercial applications. The main pillar lays on a smart fusion between COTS solutions and analytical sensors (patented technology) for the identification of the aerodynamic angles. The identification involves both flight dynamic relationships and data-driven state observer(s) based on neural techniques, which are deterministic once the training is completed. As this project will bring analytical sensors on board of civil aircraft as part of a redundant system for the very first time, design activities documented in this work have a particular focus on airworthiness certification aspects. At this maturity level, simulated data are used, real flight test data will be used in the next stages. Data collection is described both for the training and test aspects. Training maneuvers are defined aiming to excite all dynamic modes, whereas test maneuvers are collected aiming to validate results independently from the training set and all autopilot configurations. Results demonstrate that an alternate solution is possible enabling significant savings in terms of computational effort and lines of codes but they show, at the same time, that a better training strategy may be beneficial to cope with the new neural network architecture.","url":"https://pubmed.ncbi.nlm.nih.gov/31771167/","authors":["Lerro A","Brandl A","Battipede M","Gili P"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2019 Nov 23","doi":"10.3390/s19235133","addedAt":"2026-08-31T06:39:47.154Z","updatedAt":"2026-08-31T06:39:47.154Z"},{"id":"pmid:31761335","name":"Lead seasonality in humans, animals, and the natural environment.","source":"pubmed","abstract":"Lead adversely impacts the health of humans, animals, and the natural environment. Higher lead burdens in warm weather occur in humans, domesticated and wild animals; land and water species; urban and rural, developed and pristine environments. The array of evidence suggests that lead seasonality is multifactorial within the natural world, including humans. Seasonally higher temperatures, solar radiation, humidity and anthropogenic pollution result in lower pH (acidification) in air, water and soil. Environmental acidification increases lead's bioavailability and mobility thus intensifying human, animal and plant exposures. In addition, lead seasonality in the biosphere is influenced by higher growth rates, slightly increased exposures, and more Vitamin D metabolism. Methodologically, we applied a One Health perspective to EPA's Integrated Science Assessments of Lead to review the published literature, supplemented with subsequent and related publications to assess data on the seasonality of lead exposure across species and through the earth's systems. Our integrated assessment suggests that: 1) 'Seasonality' is a multifactorial, terrestrial phenomenon affecting the natural world; human activities have exacerbated natural cyclicities that impact lead exposures across species. 2) To be sustainable, human lead remediation strategies must consider the total environment. 3) Global warming and climate change events may increase lead exposures and toxicity to all species throughout the natural environment.","url":"https://pubmed.ncbi.nlm.nih.gov/31761335/","authors":["Levin R","Zilli Vieira CL","Mordarski DC","Rosenbaum MH"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2020 Jan","doi":"10.1016/j.envres.2019.108797","addedAt":"2026-08-31T06:39:47.154Z","updatedAt":"2026-08-31T06:39:47.154Z"},{"id":"pmid:31714401","name":"Within-city Spatial Variations in Ambient Ultrafine Particle Concentrations and Incident Brain Tumors in Adults.","source":"pubmed","abstract":"Ambient ultrafine particles (UFPs, &lt;0.1 &#xb5;m) can reach the human brain, but to our knowledge, epidemiologic studies have yet to evaluate the relation between UFPs and incident brain tumors.","url":"https://pubmed.ncbi.nlm.nih.gov/31714401/","authors":["Weichenthal S","Olaniyan T","Christidis T","Lavigne E","Hatzopoulou M","Van Ryswyk K","Tjepkema M","Burnett R"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2020 Mar","doi":"10.1097/EDE.0000000000001137","addedAt":"2026-08-31T06:39:47.154Z","updatedAt":"2026-08-31T06:39:47.154Z"},{"id":"pmid:31518781","name":"Contribution of road dust from Low Impact Development (LID) construction sites to atmospheric pollution from heavy metals.","source":"pubmed","abstract":"The re-suspension of road dust due to intense Low Impact Development (LID) construction activities may be a major contributor to atmospheric metal pollution. However, the distribution characteristics, mobility potential, and pollutant load of atmospheric particles at LID construction sites are not clear. Consequently, management practices to mitigate air pollution from LID construction are lacking. We investigated the atmospheric metal pollution from road dust produced during different construction stages of rain gardens and porous pavements and estimated the ecological risks posed by the heavy metals. Although concentrations of heavy metals in road dust at LID construction sites were lower than at sites without LID construction, the ecological risks posed by the atmospheric heavy metals at LID construction sites were generally higher due to the greater mass of road dust produced during LID construction. Hence, LID management practices should focus on the removal of road dust, especially finer particles (&lt;44&#x202f;&#x3bc;m) produced during early construction stages. In roads, the zones influenced by LID construction is related to road types based on traffic volume; these road types in descending order of zone influenced by LID construction are: arterial road (400-600&#x202f;m)&#x202f;&gt;&#x202f;collector road (100-150&#x202f;m)&#x202f;&gt;&#x202f;access road (50-100&#x202f;m)&#x202f;&gt;&#x202f;laneway (30-50&#x202f;m). Based on the study sites, we estimate LID construction in China will contribute 2.31 and 6.23 times as much as the current load of atmospheric particles by 2020 and 2030; and we project atmospheric heavy metals will be 1.45-2.18 and 2.82-4.73 times greater than the current load by 2020 and 2030 from the intense LID construction. Based on our results, several regulatory recommendations are presented to mitigate air pollution at LID construction sites.","url":"https://pubmed.ncbi.nlm.nih.gov/31518781/","authors":["Ma Y","Gong M","Zhao H","Li X"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2020 Jan 1","doi":"10.1016/j.scitotenv.2019.134243","addedAt":"2026-08-31T06:39:47.154Z","updatedAt":"2026-08-31T06:39:47.154Z"},{"id":"pmid:31518573","name":"Impact of environmental changes on infectious diseases: Key findings from an international conference in Trieste, Italy in May 2017.","source":"pubmed","abstract":"Elsevier's 2nd conference on \"Impact of Environmental Changes on Infectious Diseases\" (IECID), convened in May 2017 in Trieste, Italy, brought together some 120 researchers from more than 20 countries. They presented the latest findings and discussed the impact of current and predicted future environmental changes on infectious disease dynamics in humans, livestock and wildlife in different parts of the world. Particular emphasis was placed on food-, vector- and water-borne diseases within the general theme of infectious diseases of poverty and emerging and re-emerging diseases. The potential impact of mobility, travel, population growth, trade and globalization on infectious disease dynamics against the background of a changing climate, land use, air quality and urbanization on individual, population, ecosystem and planetary health were addressed. Speakers at the conference were encouraged to put forth their talks into stand-alone manuscripts, which resulted in a unique collection of 13 articles, now brought together into a thematic issue of Acta Tropica. In this umbrella piece, we synthesize key findings from the published articles and highlight potential actions that might be taken forward to prevent and mitigate the impact of environmental change on infectious diseases. The work presented is salient in the current era of the Sustainable Development Goals.","url":"https://pubmed.ncbi.nlm.nih.gov/31518573/","authors":["Brattig NW","Tanner M","Bergquist R","Utzinger J"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2021 Jan","doi":"10.1016/j.actatropica.2019.105165","addedAt":"2026-08-31T06:39:47.154Z","updatedAt":"2026-08-31T06:39:47.154Z"},{"id":"pmid:31515043","name":"Changing the urban design of cities for health: The superblock model.","source":"pubmed","abstract":"Car-dependent city planning has resulted in high levels of environmental pollution, sedentary lifestyles and increased vulnerability to the effects of climate change. The Barcelona Superblock model is an innovative urban and transport planning strategy that aims to reclaim public space for people, reduce motorized transport, promote sustainable mobility and active lifestyles, provide urban greening and mitigate effects of climate change. We estimated the health impacts of implementing this urban model across Barcelona.","url":"https://pubmed.ncbi.nlm.nih.gov/31515043/","authors":["Mueller N","Rojas-Rueda D","Khreis H","Cirach M","Andrés D","Ballester J","Bartoll X","Daher C","Deluca A","Echave C","Milà C","Márquez S","Palou J","Pérez K","Tonne C","Stevenson M","Rueda S","Nieuwenhuijsen M"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2020 Jan","doi":"10.1016/j.envint.2019.105132","addedAt":"2026-08-31T06:39:47.154Z","updatedAt":"2026-08-31T06:39:47.154Z"},{"id":"pmid:31412475","name":"Studying human exposure to vehicular emissions using computational fluid dynamics and an urban mobility simulator: The effect of sidewalk residence time, vehicular technologies and a traffic-calming device.","source":"pubmed","abstract":"A computational system consisting of an urban mobility simulator, validated fluid dynamics and an integral exposure model, is proposed to obtain cyclist and pedestrian exposure to PM x and NO x . Pedestrian activities in the urban anthroposphere include walking and running. The computational experiments take place in a computer-generated urban canyon, subject to emissions from diesel and gasoline Euro 5 and Euro 6 vehicular technologies, in continuous and stop-and-go traffic scenarios, and three wind directions at two speeds. The exposure time in the computational domain of slow and fast pedestrians were obtained. Slow pedestrians had exposure times around 17% more than fast pedestrians due to their higher sidewalk residence time. Runners and cyclists decreased their exposures by 57% and 73% respectively compared with walkers. Two traffic scenarios are implemented: one due the presence of a hump and another without a hump. The presence of the hump, increased exposure and fuel consumption by 60% per heavy duty vehicle, about 44-48% per light duty vehicle and about 54-71% per passenger car. Vehicular technology had a large influence on exposure: Heavy duty-Euro 6 vehicle decreased 86% the exposure to PM 2.5 and 66% to NO X with respect to Euro 5. The proposed computational system provides information on how wind velocity influenced the inhomogeneous pollutant distribution in the street-canyon, causing exposure to be dependent on pedestrian route location. Microscale sidewalk areas in the order of meters containing higher concentrations were thus located. The cleanest routes in the urban canyon were identified. When the wind intensity doubled from 2 to 4&#x202f;m&#x202f;s -1 , exposure concentration decreased around 45%. The proposed system provides a computational platform to study urban atmospheric fluids, scenarios such as pedestrian routes, vehicular technologies, traffic velocities, meteorological conditions and urban morphology affecting pollution exposure.","url":"https://pubmed.ncbi.nlm.nih.gov/31412475/","authors":["Zavala-Reyes JC","Jeanjean APR","Leigh RJ","Hernández-Paniagua IY","Rosas-Pérez I","Jazcilevich A"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2019 Oct 15","doi":"10.1016/j.scitotenv.2019.05.422","addedAt":"2026-08-31T06:39:47.154Z","updatedAt":"2026-08-31T06:39:47.154Z"},{"id":"pmid:31335440","name":"Fractional-dose yellow fever vaccination: how much more can we do with less?","source":"pubmed","abstract":"Climate change, deforestation, urbanization, and increased population mobility have made the risk of large outbreaks of yellow fever more likely than ever. Yellow fever vaccine production barely meets demands. In this review, we address the causes of the recent yellow fever outbreaks, why fractional dose yellow fever vaccination works, the role of virus neutralizing antibodies in the protection against yellow fever, and the need for revaccination.","url":"https://pubmed.ncbi.nlm.nih.gov/31335440/","authors":["Visser LG"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2019 Oct","doi":"10.1097/QCO.0000000000000576","addedAt":"2026-08-31T06:39:47.154Z","updatedAt":"2026-08-31T06:39:47.154Z"},{"id":"pmid:31309375","name":"Potential of asphalt concrete as a source of trace metals.","source":"pubmed","abstract":"Asphalt concrete is one of the most important building materials in the modern world, but the leaching potential of metals from this composite material to the environment is poorly understood. In this study, metals leaching from four hot-mix asphalt samples were analyzed: two fresh samples of low-traffic and high-traffic composition and their weathered equivalents collected from roads in the city of Edmonton, Alberta, Canada. A sequential extraction, based on the Community Bureau of Reference method, was applied to study the speciation and potential mobility of metals and metalloids in those samples. Major trace metals identified in all four samples were Mn, P, Ba, Sr, Zn, V, and Ni, with the highest metals concentrations generally found in weathered asphalt concrete. Of the major trace metals, P, Mn, Sr, and Zn were relatively mobile, having large portions of their total concentrations in the exchangeable/acid-soluble and reducible fractions. When considering the most mobile fraction (exchangeable/acid soluble) and using Canada as a model country, up to 180 t P, 440 t Mn, 50 t Ba, 36 t Sr, 11 t Zn, and 0.11-3.2 t of other metals and metalloids (including Cr, Ni, Cu, As, and Pb) could potentially leach from the top layer of Canada's total of paved public roads. To place these amounts into perspective, they were estimated to make up to 22&#x2030; of Canada's annual release numbers into soil, water and air for these same metals and metalloids. However, they are concentrated in a small area around roads and highways, creating the potential for localized soil and groundwater contamination.","url":"https://pubmed.ncbi.nlm.nih.gov/31309375/","authors":["von Gunten K","Konhauser KO","Alessi DS"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2020 Feb","doi":"10.1007/s10653-019-00370-y","addedAt":"2026-08-31T06:39:47.154Z","updatedAt":"2026-08-31T06:39:47.154Z"},{"id":"pmid:31247371","name":"How alternative urban stream channel designs influence ecohydraulic conditions.","source":"pubmed","abstract":"Streams draining urban catchments ubiquitously undergo negative physical and ecosystem changes, recognized to be primarily driven by frequent stormwater runoff input. The common management intervention is rehabilitation of channel morphology. Despite engineering design intentions, ecohydraulic benefits of urban channel rehabilitation are largely unknown and likely limited. This investigation uses an ecohydraulic modeling approach to investigate the performance of alternative channel design configurations intended to restore key ecosystem functioning in urban streams. Channel reconfiguration design scenarios, specified to emulate the range of channel topographic complexity often used in rehabilitation are compared against a reference 'natural' scenario using ecologically relevant hydraulic metrics. The results showed that the ecohydraulic conditions were incremental improved with the addition of natural oscillations to an increasing number of individual topographic variables in a degraded channel. Results showed that reconfiguration reduced excessive frequency of bed mobility, loss of habitat and hydraulic diversity particularly as more topographic variables were added. However, the results also showed that none of the design scenarios returned the ecohydraulics to their reference conditions. This indicate that channel-based restoration can offer some potential changes to hydraulic habitat conditions but are unlikely to completely mitigate the effects of hydrologic change. We suggest that while reach-scale channel modification may be beneficial to restore urban stream, addressing altered hydrology is critical to fully recover natural ecosystem processes.","url":"https://pubmed.ncbi.nlm.nih.gov/31247371/","authors":["Anim DO","Fletcher TD","Vietz GJ","Burns MJ","Pasternack GB"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2019 Oct 1","doi":"10.1016/j.jenvman.2019.06.095","addedAt":"2026-08-31T06:39:47.154Z","updatedAt":"2026-08-31T06:39:47.154Z"},{"id":"pmid:31221392","name":"Diurnal variation of aethalometer correction factors and optical absorption assessment of nucleation events using multi-wavelength photoacoustic spectroscopy.","source":"pubmed","abstract":"A field measurement campaign was carried out during the late winter and early spring of 2015 in Budapest, the capital of Hungary. The size distribution (SD) and optical absorption of carbonaceous particulate matter (CPM) was measured online using a Scanning Mobility Particle Sizer (SMPS), a 7&#x3bb;-aethalometer and an inhouse developed 4&#x3bb;-Photoacoustic Spectrometer. Based on the SD data, the measurement period could be classified into days with and without new particle formation events (normal days and nucleation days), although particular nucleation-like events were observed on normal days as well. Three characteristic size modes were observed with CMDs of circa 15, 25 and 110 nm that corresponded to the nucleation, traffic and heating modes. Based on the temporal behavior of these modes both types of days were divided into distinctive daily periods (heating hours, traffic hours and nucleation hours). The optical absorption spectra (OAC and AAE) also displayed the same part of day behavior to that of SD. That way this paper is among the first to assess the optical response of urban nucleation events. Due to the simultaneous measurement of OAC by the 7&#x3bb;-aethalometer and a 4&#x3bb;-Photoacoustic Spectrometer, OAC was measured overall at 11 wavelengths. That way aethalometer correction factors (f and C) were determined at all aethalometer wavelengths using in situ reference photoacoustic measurements. Correction factors were found to have both wavelength and time of the day variation. In the case of f, no clear trend could be observed, however, Cref values increased both as a function of wavelength.","url":"https://pubmed.ncbi.nlm.nih.gov/31221392/","authors":["Ajtai T","Kiss-Albert G","Utry N","Tóth Á","Hoffer A","Szabó G","Bozóki Z"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2019 Sep","doi":"10.1016/j.jes.2019.01.022","addedAt":"2026-08-31T06:39:47.154Z","updatedAt":"2026-08-31T06:39:47.154Z"},{"id":"pmid:31142311","name":"What can urban mobility data reveal about the spatial distribution of infection in a single city?","source":"pubmed","abstract":"Infectious diseases spread through inherently spatial processes. Road and air traffic data have been used to model these processes at national and global scales. At metropolitan scales, however, mobility patterns are fundamentally different and less directly observable. Estimating the spatial distribution of infection has public health utility, but few studies have investigated this at an urban scale. In this study we address the question of whether the use of urban-scale mobility data can improve the prediction of spatial patterns of influenza infection. We compare the use of different sources of urban-scale mobility data, and investigate the impact of other factors relevant to modelling mobility, including mixing within and between regions, and the influence of hub and spoke commuting patterns.","url":"https://pubmed.ncbi.nlm.nih.gov/31142311/","authors":["Moss R","Naghizade E","Tomko M","Geard N"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2019 May 29","doi":"10.1186/s12889-019-6968-x","addedAt":"2026-08-31T06:39:47.154Z","updatedAt":"2026-08-31T06:39:47.154Z"},{"id":"pmid:31093831","name":"Air quality monitoring assessment during the 2016 Olympic Games in Rio de Janeiro, Brazil.","source":"pubmed","abstract":"In 2009, the city of Rio de Janeiro was announced as the host city of the 2016 Olympic Games (Rio 2016). For this event, the Brazilian government, in partnership with the International Olympic Committee (IOC), undertook the task of monitoring the air quality in the city. This study discusses the PM 10 , PM 2.5 , and O 3 profiles at ten sampling sites located near the arenas in 2016, including during the Olympic Games period. At all sampling stations, the annual mean values of PM 10 and PM 2.5 were below either Brazilian air quality standards or United States Environmental Protection Agency (U.S. EPA) guidelines. In addition, no violations lasting 24&#xa0;h were observed for particulate matter in 2016. Only two ozone episodes occurred in 2016, both in Campos dos Afonsos (163 and 195&#xa0;&#x3bc;g&#xa0;m -3 ) near the extreme sports arena. However, during the pre-Olympic period (2013-2015), in the same area were registered 16, 81, and 18 violations per year, respectively. The results showed an improvement in air quality in Rio de Janeiro in 2016. The reduction in pollutant levels, especially O 3 and PM 2.5 , is probably due to the conclusion of the structural construction of the Olympic arenas and efforts to improve urban mobility.","url":"https://pubmed.ncbi.nlm.nih.gov/31093831/","authors":["Ventura LMB","Ramos MB","Gioda A","França BB","de Oliveira Godoy JM"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2019 May 16","doi":"10.1007/s10661-019-7496-y","addedAt":"2026-08-31T06:39:47.154Z","updatedAt":"2026-08-31T06:39:47.154Z"},{"id":"pmid:31078852","name":"Comparison of size-resolved hygroscopic growth factors of urban aerosol by different methods in Tianjin during a haze episode.","source":"pubmed","abstract":"Size-resolved hygroscopic growth factors of urban aerosol during a haze episode were measured using a Humidified Tandem Differential Mobility Analyzer (HTDMA) (g m (RH)). These factors were also derived from size-resolved particulate chemical composition combined with the &#x3ba;-K&#xf6;hler theory (g &#x3ba; (RH)) and the thermodynamic model ISORROPIA-II running in forward mode (g iso-f (RH)) and reverse mode (g iso-r (RH)), respectively. In terms of agreement among these hygroscopic growth factors, g &#x3ba; (RH) matched g m (RH) best, followed by g iso-r (RH). In contrast, g iso-f (RH) demonstrated a poorer agreement with g m (RH). The good consistency among g m (RH), g &#x3ba; (RH), and g iso-r (RH) was because they only focus on the physical hygroscopic process, whereas g iso-f (RH) contains not only the direct influence of relative humidity (RH) on particle size but also the influence of gaseous precursor on the particle chemical composition, which indirectly affects the hygroscopicity of the particles. In this sense, size-resolved g &#x3ba; (RH) and g iso-r (RH) in a wide size range are more adequate to investigate the impact of RH on light scattering and aerosol radiative forcing. At RH&#x202f;=&#x202f;80%, g &#x3ba; (RH) for accumulation mode particles was 1.30-1.45 on polluted days and higher than that on clean days (1.2-1.3). Whereas on both polluted and clean days, g &#x3ba; (RH) of ultrafine and coarse mode particles were generally lower than 1.25. The strong hygroscopicity of accumulation mode particles observed on polluted days can deteriorate visibility due to their high extinction efficiency.","url":"https://pubmed.ncbi.nlm.nih.gov/31078852/","authors":["Ding J","Zhang YF","Zhao PS","Tang M","Xiao ZM","Zhang WH","Zhang HT","Yu ZJ","Du X","Li LW","Yuan J","Feng YC"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2019 Aug 15","doi":"10.1016/j.scitotenv.2019.05.005","addedAt":"2026-08-31T06:39:47.154Z","updatedAt":"2026-08-31T06:39:47.154Z"},{"id":"pmid:31075749","name":"Complex relationships between greenness, air pollution, and mortality in a population-based Canadian cohort.","source":"pubmed","abstract":"Epidemiological studies have consistently demonstrated that exposure to fine particulate matter (PM 2.5 ) is associated with increased risks of mortality. To a lesser extent, a series of studies suggest that living in greener areas is associated with reduced risks of mortality. Only a handful of studies have examined the interplay between PM 2.5 , greenness, and mortality.","url":"https://pubmed.ncbi.nlm.nih.gov/31075749/","authors":["Crouse DL","Pinault L","Balram A","Brauer M","Burnett RT","Martin RV","van Donkelaar A","Villeneuve PJ","Weichenthal S"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2019 Jul","doi":"10.1016/j.envint.2019.04.047","addedAt":"2026-08-31T06:39:47.154Z","updatedAt":"2026-08-31T06:39:47.154Z"},{"id":"pmid:31013965","name":"Evaluation of the Submicron Particles Distribution Between Mountain and Urban Site: Contribution of the Transportation for Defining Environmental and Human Health Issues.","source":"pubmed","abstract":"Transportation is one of the main causes of atmospheric pollution, especially in downtown big cities. Researchers usually point their attention to gaseous and/or particulate matter pollutants. This paper investigated the role of submicron particles, particularly the fraction ranging between 5-560 nm, in aerosol chemistry for identifying the contribution of autovehicular traffic and investigating the doses deposited in the human respiratory tract. Measurements carried out by two Fast Mobility Particle Sizer (FMPS, TSI) analyzers were simultaneously performed at two different sampling sites (an urban and a mountain site) during workdays and weekends in July. The total particle number (2-2.5 times higher in the urban site), the aerosol size distribution (different modes during the day), and the ultrafine/non-ultrafine particle ratios (ranging between 2-4 times between two sites) were investigated and discussed in relationship to the high autovehicular traffic in Rome and the almost null anthropogenic emissions at the mountain site, as well as the differing contributions of both to the \"fresh nucleation\" and to \"aged aerosol\". Furthermore, the regional cumulative number doses deposited in the human respiratory tract were studied for both sites: The difference between the urban/mountain site was very high (up to 15 fold), confirming the pollutant role of transportation.","url":"https://pubmed.ncbi.nlm.nih.gov/31013965/","authors":["Manigrasso M","Protano C","Martellucci S","Mattei V","Vitali M","Avino P"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2019 Apr 14","doi":"10.3390/ijerph16081339","addedAt":"2026-08-31T06:39:47.154Z","updatedAt":"2026-08-31T06:39:47.154Z"},{"id":"pmid:30999201","name":"Exposure assessment of cyclists to UFP and PM on urban routes in Xi'an, China.","source":"pubmed","abstract":"With the promotion of bicycle sharing, cycling as an active transportation mode is a matter of public interest. However, cyclists' recurrent exposure to traffic-related air pollution is associated with the potential health risks. Quantification of the health risks associated with daily exposure of commuting cyclists to atmospheric pollutants is vital, but barely reported. In this study, real-time mobile measurement campaigns were performed with high time-resolution portable instruments, along two commuting routes in Xi'an, China. We investigated personal exposure and inhaled dose of particulate matter and ultrafine particle (UFP) for cyclists. The results showed cyclists' exposure to average pollutants concentrations: fine particulate matter (PM 2.5 , 38.6&#x202f;&#xb1;&#x202f;17.1&#x202f;&#x3bc;g&#x202f;m -3 ) and UFP (18,172&#x202f;&#xb1;&#x202f;11,282 particles cm -3 ). The exposure \"hotspots\" of cyclists were identified: intersections, diesel engines, etc. Cyclists' exposure to the highest PM 2.5 (46.9&#x202f;&#x202f;&#x3bc;g&#x202f;m -3 ) concentrations were observed in morning periods; these were &#x223c;36%/42% higher compared to the afternoon or evening, while the latter periods corresponded to higher UFP concentrations (18,342/18,502 particles cm -3 ). The measurements of PM 2.5 and UFP were clearly higher during autumn months, when compared to summer months. In multivariate models, wind speed was not significant, temperature and local urban background concentrations explained 70.9% the variation of PM 2.5 , the 67.8% of UFP was explained by temperature, traffic and relative humidity, and each 100 increase in on-road vehicles were associated with increase of 1328 particles cm -3 for UFP exposure in cyclists. Cycling in bike boulevards decreased exposure concentrations by 31.5% for PM and 36.6% for UFP compared to traffic roadsides, moving vehicles were identified as key contributors to PM 0.25-0.3 and PM 2.0-10 of cyclists' exposure. The potential health risks deserve attention under the mobility and air pollution challenges faced by many metropolitan areas in emerging economies. Our findings could serve to promote better design for low-exposure network of separated bike boulevards.","url":"https://pubmed.ncbi.nlm.nih.gov/30999201/","authors":["Qiu Z","Wang W","Zheng J","Lv H"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2019 Jul","doi":"10.1016/j.envpol.2019.03.129","addedAt":"2026-08-31T06:39:47.154Z","updatedAt":"2026-08-31T06:39:47.154Z"},{"id":"pmid:30991223","name":"Multiple crop bioaccumulation and human exposure of perfluoroalkyl substances around a mega fluorochemical industrial park, China: Implication for planting optimization and food safety.","source":"pubmed","abstract":"Perfluoroalkyl substances (PFASs) have become a recognized concern due to their mobility, persistence, ubiquity and health hazards in the environment. In this study, ten types of vegetables and three types of grain crops were collected in two open-air fields with different distances (0.3&#x202f;km, 10&#x202f;km) from a mega fluorochemical industrial park (FIP), China. Bioaccumulation characteristics of PFASs in light of crop types and organs were explored, followed by analyzing human exposure and risks to local residents with different age groups and dietary habits. Elevated levels of &#x2211;PFASs were found nearby the FIP ranging from 79.9&#x202f;ng/g to 200&#x202f;ng/g in soils and from 58.8&#x202f;ng/g to 8085&#x202f;ng/g in crops. Perfluorooctanoic acid (PFOA) was the predominant PFAS component in soil; while shorter-chain perfluoroalkyl carboxylic acids (PFCAs), especially perfluorobutanoic acid (PFBA), were the major PFAS contaminants in multiple crops, resulting from their bioaccumulation preference. Depending on the crop types, the bioaccumulation factors (BAFs) of &#x2211;PFASs for edible parts varied from 0.36 to 48.0, and the highest values were found in shoot vegetables compared with those in fruit vegetables, flower vegetables, root vegetables and grain crops. For typical grains, the BAFs of &#x2211;PFASs decreased in the order of soybean (Glycine max (Linn.) Merr.), wheat (Triticum aestivum L.) and corn (Zea mays L.), possibly related to their protein and lipid content. Among specific organs in the whole plants, leaves exhibited the highest BAFs of &#x2211;PFASs compared with corresponding roots, stems, husks or grains. With increasing carbon chain lengths of individual PFCAs (C4-C8), the logarithm of their BAFs for edible parts of various crops showed a linear decrease (0.1-1.16 log decrease per CF 2 unit), and the largest decrease was observed in grains. Human exposure to PFOA via the consumption of contaminated crops represents a health risk for local residents, especially for low-age consumers or urban consumers with higher vegetable diet. Implications for planting optimization and food safety were provided aiming to reduce health hazards of PFASs.","url":"https://pubmed.ncbi.nlm.nih.gov/30991223/","authors":["Liu Z","Lu Y","Song X","Jones K","Sweetman AJ","Johnson AC","Zhang M","Lu X","Su C"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2019 Jun","doi":"10.1016/j.envint.2019.04.008","addedAt":"2026-08-31T06:39:47.154Z","updatedAt":"2026-08-31T06:39:47.154Z"},{"id":"pmid:30916152","name":"Monitoring of air quality before the Olympic Games Rio 2016.","source":"pubmed","abstract":"For the accomplishment of Olympic and Paralympic Games in Rio de Janeiro city (Rio 2016), the government of the Rio de Janeiro state has undertaken to monitor air quality before and during the events. In Beijing, China, and Athens, Greece, the air quality was monitored in Olympic venues in order to evaluate the athletes' performance in relation to the environment in which they were exposed. This study has the same proposal to Rio de Janeiro, Brazil. The air quality scenario of the three previous years (2013, 2014, 2015) of Rio 2016 was considered. Coarse (PM10) and fine (PM2.5) particles and O3 were monitored continuously on the stations located near to competition venues, as required by International Olympic Committee (IOC). The levels registered ranged from 6 to 96 &#x3bc;g m-3 for PM10, 1 to 44 &#x3bc;g m-3 for PM2.5 and 121 to 269 &#x3bc;g m-3 for O3. These concentrations exceeded the national and international air quality standards. These high concentrations are associated with uncountable civil works to build Olympic arenas and the urban mobility&#xb4;s improvement. However, the concentrations for all the pollutants monitored in Rio de Janeiro city were in lower concentrations than in Beijing Olympic Games 2008.","url":"https://pubmed.ncbi.nlm.nih.gov/30916152/","authors":["Ventura LMB","Ramos MB","Santos JO","Gioda A"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2019 Mar 21","doi":"10.1590/0001-3765201920170984","addedAt":"2026-08-31T06:39:47.154Z","updatedAt":"2026-08-31T06:39:47.154Z"},{"id":"pmid:30893741","name":"Measurements of atmospheric aerosol vertical distribution above North China Plain using hexacopter.","source":"pubmed","abstract":"In this study, a novel setup was developed to measure the vertical profile of particle number size distribution (PNSD) and meteorological parameters by using hexacopter equipped with a portable instrument package including a custom-built scanning mobility particle sizer, an optical particle counter and temperature and relative humidity (RH) sensors. By using this setup, a field experiment was carried out to investigate the vertical profiles of RH, temperature, PNSD ranged from 8 to 245&#x202f;nm, and particle number concentration with the diameter ranges of 0.3-0.5&#x202f;&#x3bc;m and 0.5-1.0&#x202f;&#x3bc;m from the ground up to 300&#x202f;m above ground level in a rural site of the North China Plain. New particle formation (NPF) event in a vertical scale was observed during the daytime cruises. The newly formed particles showed a heterogeneous vertical distribution, indicating the inhomogeneous occurrence of the NPF event vertically. During the daytime, the vertical variations in number concentration of particles larger than 0.3&#x202f;&#x3bc;m was not obvious, while, showed a tendency to decrease associated with the increasing altitude in the evening. The newly-developed unmanned aerial vehicle research platform could be applied to study the vertical NPF events and transport processes of air pollutants within the atmospheric boundary layer and urban canopy, and to monitor source emissions with the purpose of environment management.","url":"https://pubmed.ncbi.nlm.nih.gov/30893741/","authors":["Zhu Y","Wu Z","Park Y","Fan X","Bai D","Zong P","Qin B","Cai X","Ahn KH"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2019 May 15","doi":"10.1016/j.scitotenv.2019.02.100","addedAt":"2026-08-31T06:39:47.154Z","updatedAt":"2026-08-31T06:39:47.154Z"},{"id":"pmid:30884435","name":"Pleural anthracosis as an indicator of lifetime exposure to urban air pollution: An autopsy-based study in Sao Paulo.","source":"pubmed","abstract":"Many studies have been conducted to evaluate the association between air pollution and adverse health effects using a wide variety of methods to assess exposure. However, the assessment of individual long-term exposure to ambient air pollution is a challenging task and has not been evaluated in a large autopsy study. Our goal was to investigate whether exposure to urban air pollution is associated to the degree of lung anthracosis, considering modifying factors such as personal habits, mobility patterns and occupational activities. We conducted a study in Sao Paulo, Brazil from February 2017 to June 2018, combining epidemiological, spatial analysis and autopsy-based approaches. Information about residential address, socio-demographic details, occupation, smoking status, time of residence in the city and time spent commuting was collected via questionnaires applied to the next-of-kin. Images of the pleura surface from upper and lower lobes were used to quantify anthracosis in the lungs. We used multiple regression models to assess the association between the amount of carbon deposits in human lungs, measured by the fraction of pleural anthracosis (FA), and potential explanatory variables. We analyzed 413 cases and our data showed that for each additional hour spent in daily commuting, the ratio FA/(1-FA) is multiplied by 1.05 (95% confidence interval: [1.02; 1.08]). The estimated coefficient for daily hours spent in traffic was not considerably affected by the inclusion of socio-demographic variables and smoking habits. We estimate a tobacco equivalent dose of 5 cigarettes per day in a city where annual PM 2.5 concentration oscillates around 25&#x202f;&#x3bc;g/m 3 . Pleural anthracosis is a potential index of lifetime exposure to traffic-derived air pollution.","url":"https://pubmed.ncbi.nlm.nih.gov/30884435/","authors":["Takano APC","Justo LT","Dos Santos NV","Marquezini MV","de André PA","da Rocha FMM","Pasqualucci CA","Barrozo LV","Singer JM","De André CDS","Saldiva PHN","Veras MM"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2019 Jun","doi":"10.1016/j.envres.2019.03.006","addedAt":"2026-08-31T06:39:47.154Z","updatedAt":"2026-08-31T06:39:47.154Z"},{"id":"pmid:30759877","name":"FeinPhone: Low-cost Smartphone Camera-based 2D Particulate Matter Sensor.","source":"pubmed","abstract":"Precise, location-specific fine dust measurement is central for the assessment of urban air quality. Classic measurement approaches require dedicated hardware, of which professional equipment is still prohibitively expensive (&gt;10k$) for dense measurements, and inexpensive sensors do not meet accuracy demands. As a step towards filling this gap, we propose FeinPhone , a phone-based fine dust measurement system that uses camera and flashlight functions that are readily available on today's off-the-shelf smart phones. We introduce a cost-effective passive hardware add-on together with a novel counting approach based on light-scattering particle sensors. Since our approach features a 2D sensor (the camera) instead of a single photodiode, we can employ it to capture the scatter traces from individual particles rather than just retaining a light intensity sum signal as in simple photometers. This is a more direct way of assessing the particle count, it is robust against side effects, e.g., from camera image compression, and enables gaining information on the size spectrum of the particles. Our proof-of-concept evaluation comparing several FeinPhone sensors with data from a high-quality APS/SMPS (Aerodynamic Particle Sizer/Scanning Mobility Particle Sizer) reference device at the World Calibration Center for Aerosol Physics shows that the collected data shows excellent correlation with the inhalable coarse fraction of fine dust particles (r &gt; 0.9) and can successfully capture its levels under realistic conditions.","url":"https://pubmed.ncbi.nlm.nih.gov/30759877/","authors":["Budde M","Leiner S","Köpke M","Riesterer J","Riedel T","Beigl M"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2019 Feb 12","doi":"10.3390/s19030749","addedAt":"2026-08-31T06:39:47.154Z","updatedAt":"2026-08-31T06:39:47.154Z"},{"id":"pmid:30721435","name":"Pyrolyzed municipal sewage sludge ensured safe grain production while reduced C emissions in a paddy soil under rice and wheat rotation.","source":"pubmed","abstract":"Safe recycling of the growing amounts of municipal sewage sludge containing toxic metals had been critically challenged with the fast urbanization. In this study, we investigated soil amendment of municipal wastewater treatment (MSS) converted biochar for its recycling in agricultural soils. In a field experiment, unpyrolyzed (USS) and pyrolyzed municipal sewage sludge (PSS) was amended at 20&#xa0;t&#xa0;ha -1 on dry base to a rice paddy before rice plantation, with a control without amendment. Grain yield and emission of non-CO 2 potent greenhouse gases were examined as well as topsoil metal mobility and plant uptake determined throughout a rice-wheat rotation year. Compared to USS treatment, addition of PSS caused a significantly increased grain yield of rice by 35% but no change in grain yield of wheat following the rice season. No distinct difference was observed in grain concentration of major nutrients of N, P, and K between USS and PSS treatments. Compared to USS treatment, PSS treatment reduced CH 4 emissions by 91.6% from soil and by 78.5% from ecosystem during rice-growing season. Whereas, PSS treatment led to a reduction of ecosystem N 2 O emissions by 70.8% relative to USS treatment during wheat-growing season. While both USS and PSS treatments slightly but insignificantly increased soil total content of heavy metals, PSS treatment reduced CaCl 2 -extractable Cd pool by 33~40% over USS treatment. Grain contents of Cd and Pb and Cd/Zn were markedly reduced under PSS over USS, without exceeding the Chinese state guideline limit. Carbon emission intensity was considerably (by over 20%) reduced for soil and ecosystem but unchanged for wheat soil, under PSS over USS. Thus, soil amendment of pyrolyzed sewage sludge could be a measure for climate smart soil and for safe grain production in rice agriculture. It deserves further study if repeated amendment could exert sustainable impacts on soil health and food security in the paddy.","url":"https://pubmed.ncbi.nlm.nih.gov/30721435/","authors":["Shao Q","Ju Y","Guo W","Xia X","Bian R","Li L","Li W","Liu X","Zheng J","Pan G"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2019 Mar","doi":"10.1007/s11356-019-04417-6","addedAt":"2026-08-31T06:39:47.154Z","updatedAt":"2026-08-31T06:39:47.154Z"},{"id":"pmid:30701411","name":"Transforming Our Cities: Best Practices Towards Clean Air and Active Transportation.","source":"pubmed","abstract":"By 2050, 70% of the global population will live in urban areas, exposing a greater number of people to specific city-related health risks that will only be exacerbated by climate change. Two prominent health risks are poor air quality and physical inactivity. We aim to review the literature and state the best practices for clean air and active transportation in urban areas.","url":"https://pubmed.ncbi.nlm.nih.gov/30701411/","authors":["Glazener A","Khreis H"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2019 Mar","doi":"10.1007/s40572-019-0228-1","addedAt":"2026-08-31T06:39:47.154Z","updatedAt":"2026-08-31T06:39:47.154Z"},{"id":"pmid:30623014","name":"Unequal residential exposure to air pollution and noise: A geospatial environmental justice analysis for Ghent, Belgium.","source":"pubmed","abstract":"Following the growing empirical evidence on the health effects of air pollution and noise, the fair distribution of these impacts receives increasing attention. The existing environmental inequality studies often focus on a single environmental impact, apply a limited range of covariates or do not correct for spatial autocorrelation. This article presents a geospatial data analysis on Ghent (Belgium), combining residential exposure to air pollution and noise with socioeconomic variables and housing variables. The global results show that neighborhoods with lower household incomes, more unemployment, more people of foreign origin, more rental houses, and higher residential mobility, are more exposed to air pollution, but not to noise. Multiple regression models to explain exposure to air pollution show that residential mobility and percentage of rental houses are the strongest predictors, stressing the role of the housing market in explaining which people are most at risk. Applying spatial regression models leads to better models but reduces the importance of all covariates, leaving income and residential mobility as the only significant predictors for air pollution exposure. While traditional multiple regression models were not significant for explaining noise exposure, spatial regression models were, and also indicate the significant contribution of income to the model. This means income is a robust predictor for both air pollution and noise exposure across the whole urban territory. The results provide a good starting point for discussions about environmental justice and the need for policy action. The study also underlines the importance of taking spatial autocorrelation into account when analyzing environmental inequality.","url":"https://pubmed.ncbi.nlm.nih.gov/30623014/","authors":["Verbeek T"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2019 Apr","doi":"10.1016/j.ssmph.2018.100340","addedAt":"2026-08-31T06:39:47.154Z","updatedAt":"2026-08-31T06:39:47.154Z"},{"id":"pmid:30613874","name":"Assessment of organochlorine pesticides in the Himalayan riverine ecosystems from Pakistan using passive sampling techniques.","source":"pubmed","abstract":"Organochlorine pesticides (OCPs) pose a considerable threat to human and environmental health. Despite most OCPs have been banned, they are still reported to be used in developing countries, including Pakistan. We aimed to identify the distribution, origin, mobility, and potential risks from OCPs in three major environmental compartments, i.e., air, water, and soil, across Azad Jammu and Kashmir valley, Pakistan. The sums of OCPs ranged between 66 and 530&#xa0;pg/g in soil, 5 and 13&#xa0;pg/L in surface water, and 14 and 191&#xa0;pg/m3 in air, respectively. The highest sum of OCPs was observed in the downstream zone of a river that was predominantly influenced by peri-urban and urban areas. The OCP isomers ratios (&#x3b1;-HCH/&#x3b3;-HCH and o,p'-DDT/p,p'-DDT) indicate use of lindane and technical DDTs mixture as a source of HCH and DDT in the riverine environment. Similarly, the ratios of DDE and DDD/the sum of DDTs, &#x3b1;-endosulfan/&#x3b2;-endosulfan, and cis-chlordane/trans-chlordane indicate recent use of DDTs, endosulfan, and chlordane in the region. The air-water exchange fugacity ratios indicate net volatilization (fw/fa &gt;&#x2009;1) of &#x3b1;-endosulfan and trans-chlordane, and net deposition (fw/fa &lt;&#x2009;1) of &#x3b2;-endosulfan, &#x3b1;-HCH, &#x3b3;-HCH p,p'-DDD, p,p'-DDE, and p,p'-DDT. Based on the risk quotient (RQ) method, we consider the acute ecological risks for fish associated with the levels of OCPs as negligible. However, more studies are recommended to evaluate the chronic ecological risks to other riverine-associated aquatic and terrestrial species as well as human health risks to the POPs exposure through food chain transfer in forthcoming years.","url":"https://pubmed.ncbi.nlm.nih.gov/30613874/","authors":["Ullah R","Asghar R","Baqar M","Mahmood A","Ali SN","Sohail M","Schäfer RB","Eqani SAMAS"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2019 Feb","doi":"10.1007/s11356-018-3987-6","addedAt":"2026-08-31T06:39:47.154Z","updatedAt":"2026-08-31T06:39:47.154Z"},{"id":"pmid:30551024","name":"Can catchment-scale urban stormwater management measures benefit the stream hydraulic environment?","source":"pubmed","abstract":"The potential for catchment-scale stormwater control measures (SCMs) to mitigate the impact of stormwater runoff issues and excess stormwater volume is increasingly recognised. There is, however, limited understanding about their potential in reducing in-channel disturbance and improving hydraulic conditions for stream ecosystem benefits. This study investigates the benefits that SCM application in a catchment have on in-stream hydraulics. To do this, a two-dimensional hydraulic model was employed to simulate the stream hydraulic response to scenarios of SCM application applied in an urban catchment to return towards pre-development hydrologic pulses. The hydraulic response analysis considered three hydraulic metrics associated with key components of stream ecosystem functions: benthic mobilization, hydraulic diversity and retentive habitat availability. The results showed that when applied intensively, the developed SCM scenarios could effectively restore the in-stream hydraulics to close to natural levels. Compared to an unmanaged urban case (no SCMs), SCM scenarios yielded channels with reduced bed mobility potential, close to natural hydraulic diversity and improvement of retentive habitat availability. This indicates that mitigating the effect of stormwater driven hydrological change could result in significant improvements in the physical environment to better support ecosystem functioning. We therefore suggest that intensive implementation of SCMs is an important action in an urbanizing catchment to maintain the flow regime and hydraulic conditions that sustain the 'natural' stream habitat functioning. We propose that stormwater management and protection of stream ecosystem processes should incorporate hydraulic metrics to measure the effectiveness of management strategies.","url":"https://pubmed.ncbi.nlm.nih.gov/30551024/","authors":["Anim DO","Fletcher TD","Pasternack GB","Vietz GJ","Duncan HP","Burns MJ"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2019 Mar 1","doi":"10.1016/j.jenvman.2018.12.023","addedAt":"2026-08-31T06:39:47.154Z","updatedAt":"2026-08-31T06:39:47.154Z"},{"id":"pmid:30547086","name":"Urbanization affects peak timing, prevalence, and bimodality of influenza pandemics in Australia: Results of a census-calibrated model.","source":"pubmed","abstract":"We examine salient trends of influenza pandemics in Australia, a rapidly urbanizing nation. To do so, we implement state-of-the-art influenza transmission and progression models within a large-scale stochastic computer simulation, generated using comprehensive Australian census datasets from 2006, 2011, and 2016. Our results offer a simulation-based investigation of a population's sensitivity to pandemics across multiple historical time points and highlight three notable trends in pandemic patterns over the years: increased peak prevalence, faster spreading rates, and decreasing spatiotemporal bimodality. We attribute these pandemic trends to increases in two key quantities indicative of urbanization: the population fraction residing in major cities and international air traffic. In addition, we identify features of the pandemic's geographic spread that we attribute to changes in the commuter mobility network. The generic nature of our model and the ubiquity of urbanization trends around the world make it likely for our results to be applicable in other rapidly urbanizing nations.","url":"https://pubmed.ncbi.nlm.nih.gov/30547086/","authors":["Zachreson C","Fair KM","Cliff OM","Harding N","Piraveenan M","Prokopenko M"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2018 Dec","doi":"10.1126/sciadv.aau5294","addedAt":"2026-08-31T06:39:47.154Z","updatedAt":"2026-08-31T06:39:47.154Z"},{"id":"pmid:30452514","name":"Association of Prenatal Exposure to Air Pollution With Autism Spectrum Disorder.","source":"pubmed","abstract":"The etiology of autism spectrum disorder (ASD) is poorly understood, but prior studies suggest associations with airborne pollutants.","url":"https://pubmed.ncbi.nlm.nih.gov/30452514/","authors":["Pagalan L","Bickford C","Weikum W","Lanphear B","Brauer M","Lanphear N","Hanley GE","Oberlander TF","Winters M"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2019 Jan 1","doi":"10.1001/jamapediatrics.2018.3101","addedAt":"2026-08-31T06:39:47.154Z","updatedAt":"2026-08-31T06:39:47.154Z"},{"id":"pmid:30366295","name":"Size spectra and source apportionment of fine particulates in tropical urban environment during southwest monsoon season.","source":"pubmed","abstract":"In this study, we carried out high time-resolution measurements of particle number concentration and size distribution (5-1000&#x202f;nm) in Singapore, which represents a tropical urban environment. The measurements were taken during the southwest monsoon season in 2017 using a fast-response differential mobility spectrometer at a sampling rate of 1&#x202f;Hz. In the measurement, short-lived nucleation events were found prominent at early afternoon because of the abundant incoming radiation that enhances the photochemical reactions in atmosphere. For the first time in the region, a five-factor positive matrix factorization approach was applied to the size spectra data. Based on particle number concentration, two sources within nucleation mode (&lt;30&#x202f;nm) were resolved and account for 43% of total number concentration, which is higher than the available monitoring data in other big cities. Among the sources, O 3 -related atmospheric photochemical reactions with peak size at 10-12&#x202f;nm is a unique factor and prominent in early afternoon nucleation events. The findings of this work can serve as a baseline for assessing influence of local and cross-border airborne emissions during various seasons in the future.","url":"https://pubmed.ncbi.nlm.nih.gov/30366295/","authors":["Zong Y","Botero ML","Yu LE","Kraft M"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2019 Jan","doi":"10.1016/j.envpol.2018.09.124","addedAt":"2026-08-31T06:39:47.154Z","updatedAt":"2026-08-31T06:39:47.154Z"},{"id":"pmid:30308807","name":"Airborne particles in the city center of Kuala Lumpur: Origin, potential driving factors, and deposition flux in human respiratory airways.","source":"pubmed","abstract":"Equatorial warming conditions in urban areas can influence the particle number concentrations (PNCs), but studies assessing such factors are limited. The aim of this study was to evaluate the level of size-resolved PNCs, their potential deposition rate in the human respiratory system, and probable local and transboundary inputs of PNCs in Kuala Lumpur. Particle size distributions of a 0.34 to 9.02&#x202f;&#x3bc;m optical-equivalent size range were monitored at a frequency of 60&#x202f;s between December 2016 and January 2017 using an optical-based compact scanning mobility particle sizer (SMPS). Diurnal and correlation analysis showed that traffic emissions and meteorological confounding factors were potential driving factors for changes in the PNCs (D p &#x2264;1&#x202f;&#x3bc;m) at the modeling site. Trajectory modeling showed that a PNC &lt;100/cm 3 was influenced mainly by Indo-China region air masses. On the other hand, a PNC &gt;100/cm 3 was influenced by air masses originating from the Indian Ocean and Indochina regions. Receptor models extracted five potential sources of PNCs: industrial emissions, transportation, aged traffic emissions, miscellaneous sources, and a source of secondary origin coupled with meteorological factors. A respiratory deposition model for male and female receptors predicted that the deposition flux of PM 1 (particle mass &#x2264;1&#x202f;&#x3bc;m) into the alveolar (AL) region was higher (0.30 and 0.25&#x202f;&#x3bc;g/h, respectively) than the upper airway (UA) (0.29 and 0.24&#x202f;&#x3bc;g/h, respectively) and tracheobronchial (TB) regions (0.02&#x202f;&#x3bc;g/h for each). However, the PM 2.5 deposition flux was higher in the UA (2.02 and 1.68&#x202f;&#x3bc;g/h, respectively) than in the TB (0.18 and 0.15&#x202f;&#x3bc;g/h, respectively) and the AL regions (1.09 and 0.91&#x202f;&#x3bc;g/h, respectively); a similar pattern was also observed for PM 10 .","url":"https://pubmed.ncbi.nlm.nih.gov/30308807/","authors":["Khan MF","Hamid AH","Bari MA","Tajudin ABA","Latif MT","Nadzir MSM","Sahani M","Wahab MIA","Yusup Y","Maulud KNA","Yusoff MF","Amin N","Akhtaruzzaman M","Kindzierski W","Kumar P"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2019 Feb 10","doi":"10.1016/j.scitotenv.2018.09.072","addedAt":"2026-08-31T06:39:47.154Z","updatedAt":"2026-08-31T06:39:47.154Z"},{"id":"pmid:30231207","name":"Organophosphate Ester Transport, Fate, and Emissions in Toronto, Canada, Estimated Using an Updated Multimedia Urban Model.","source":"pubmed","abstract":"Organophosphate esters (OPEs), used as flame retardants and plasticizers, occur at relatively high concentrations in urban air and surface waters. We tested the hypothesis that some OPEs could be considered persistent and mobile organic compounds (PMOCs), using the poly parameter linear free energy relationship-modified Multimedia Urban Model (ppLFER-MUM) in Toronto, Canada, as a case study. Modeled air emissions of &#x2211; 6 OPEs of 3300 (190-190&#x202f;000) kg yr -1 were 10-100 times higher than emissions of polychlorinated biphenyls (&#x2211; 5 PCBs) and polybrominated diphenyl ethers (&#x2211; 5 PBDEs). Model results suggested that measured &#x2211; 6 OPE stream concentrations of &#x223c;2000 ng L -1 originate from emissions to urban air transferred to water mostly via precipitation. Water transport removed 7-28% of total air inputs compared to 0.1-10% for PCBs and 2-10% for PBDEs. Chlorinated OPEs were efficiently transported via surface water due to their persistence and high solubility. Loadings of &#x2211; 6 OPEs to Lake Ontario from wastewater treatment plants, streams, and atmospheric deposition were 70%, 18%, and 13%, respectively, of &#x2211; 6 OPE loadings of 3100 (1200-45&#x202f;000) kg yr -1 . Our results support the hypothesis that three chlorinated OPEs, tris(2-chloroethyl)phosphate phosphate (TCEP), tris(chloroisopropyl)phosphate (TCiPP), and tris(1,3-dichloroisopropyl)phosphate (TDCiPP), fit the profile of PMOCs due to their mobility and persistence in surface waters.","url":"https://pubmed.ncbi.nlm.nih.gov/30231207/","authors":["Rodgers TFM","Truong JW","Jantunen LM","Helm PA","Diamond ML"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2018 Nov 6","doi":"10.1021/acs.est.8b02576","addedAt":"2026-08-31T06:39:47.154Z","updatedAt":"2026-08-31T06:39:47.154Z"},{"id":"pmid:30185946","name":"Population dynamics based on mobile phone data to improve air pollution exposure assessments.","source":"pubmed","abstract":"Air pollution is one of the greatest challenges cities are facing today and improving air quality is a pressing need to reduce negative health impacts. In order to efficiently evaluate which are the most appropriate policies to reduce the impact of urban pollution sources (such as road traffic), it is essential to conduct rigorous population exposure assessments. One of the main limitations associated with those studies is the lack of information about population distribution in the city along the day (population dynamics). The pervasive use of mobile devices in our daily lives opens new opportunities to gather large amounts of anonymized and passively collected geolocation data allowing the analysis of population activity and mobility patterns. This study presents a novel methodology to estimate population dynamics from mobile phone data based on a user-centric mobility model approach. The methodology was tested in the city of Madrid (Spain) to evaluate population exposure to NO 2 . A comparison with traditional census-based methods shows relevant discrepancies at disaggregated levels and highlights the need to incorporate mobility patterns into population exposure assessments.","url":"https://pubmed.ncbi.nlm.nih.gov/30185946/","authors":["Picornell M","Ruiz T","Borge R","García-Albertos P","de la Paz D","Lumbreras J"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2019 Mar","doi":"10.1038/s41370-018-0058-5","addedAt":"2026-08-31T06:39:47.154Z","updatedAt":"2026-08-31T06:39:47.154Z"},{"id":"pmid:30153617","name":"Heavy metal content and mobility in urban soils of public playgrounds and sport facility areas, Poland.","source":"pubmed","abstract":"Among the threats to air, soil, and water posed by urbanization, heavy metals appear particularly hazardous. Playgrounds and sport facilities are unique urban places, widely used by children and youth. The aim of this research was to evaluate heavy metal pollution in urban soils, identify relationships among topsoil metal distributions, and assess related health risks in two Polish cities - Warsaw and Bydgoszcz. According to the Regulation of the Polish Minister of the Environment guidelines for total content of Pb, Cu, Zn, Ni, Cd and Co our study sites were classified as uncontaminated. Applied Geoaccumulation Index (I geo ; M&#xfc;ller, 1969) largely confirmed this classification, with only two of the investigated Warsaw areas \"moderately polluted\" with Pb. Generally, only Pb and Zn concentrations exceeded reference background levels for Polish soils. The highest concentrations of Pb and Zn were found in the city centers, the oldest areas where pollution risk is potentially the highest. Metal mobility and solubility were mainly correlated with total content, indicating potential risk from lead and zinc. At some sites in Warsaw, where mean Pb concentration was 87.25&#x202f;mg&#x202f;kg -1 and Zn 207.25&#x202f;mg&#x202f;kg -1 , health risks from ingestion and inhalation seemed significant, particularly for children. In Bydgoszcz use of the studied playgrounds and sport facility areas did not pose a risk to human health. Finally, the study (especially in Warsaw) indicates the need for continued monitoring and suggests lowering permissible limits of these metals in soils, especially in recreational areas, may decrease childrens' exposure risk to these pollutants.","url":"https://pubmed.ncbi.nlm.nih.gov/30153617/","authors":["Różański SŁ","Kwasowski W","Castejón JMP","Hardy A"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2018 Dec","doi":"10.1016/j.chemosphere.2018.08.109","addedAt":"2026-08-31T06:39:47.154Z","updatedAt":"2026-08-31T06:39:47.154Z"},{"id":"pmid:29899217","name":"A Novel Environmental Justice Indicator for Managing Local Air Pollution.","source":"pubmed","abstract":"Environmental justice efforts in the United States seek to provide equal protection from environmental hazards, such as air pollution, to all groups, particularly among traditionally disadvantaged populations. To accomplish this objective, the U.S. EPA has previously required states to use an environmental justice screening tool as part of air quality planning decision-making. The generally utilized approach to assess potential areas of environmental justice concern relies on static comparisons of environmental and demographic information to identify areas where minority and low income populations experience elevated environmental exposures, but does not include any additional information that may inform the trade-offs that sub-populations of varying socio-demographic groups make when choosing where to reside in cities. In order to address this limitation, job accessibility (measured by a mobility index defining the number of jobs available within a set commuting time) was developed as a novel environmental justice indicator of environmental justice priority areas at the local level. This approach is modeled using real-world data in Allegheny County, PA (USA), and identifies areas with relatively high levels of outdoor air pollution and low access to jobs. While traditional tools tend to flag the poorest neighborhoods for environmental justice concerns, this new method offers a more refined analysis, targeting populations suffering from the highest environmental burden without the associated benefits of urban living.","url":"https://pubmed.ncbi.nlm.nih.gov/29899217/","authors":["Zhao J","Gladson L","Cromar K"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2018 Jun 14","doi":"10.3390/ijerph15061260","addedAt":"2026-08-31T06:39:47.154Z","updatedAt":"2026-08-31T06:39:47.154Z"},{"id":"pmid:29875519","name":"International travel between global urban centres vulnerable to yellow fever transmission.","source":"pubmed","abstract":"To examine the potential for international travel to spread yellow fever virus to cities around the world.","url":"https://pubmed.ncbi.nlm.nih.gov/29875519/","authors":["Brent SE","Watts A","Cetron M","German M","Kraemer MU","Bogoch II","Brady OJ","Hay SI","Creatore MI","Khan K"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2018 May 1","doi":"10.2471/BLT.17.205658","addedAt":"2026-08-31T06:39:47.154Z","updatedAt":"2026-08-31T06:39:47.154Z"},{"id":"pmid:29780271","name":"Development and Evaluation of the R-LINE Model Algorithms to Account for Chemical Transformation in the Near-road Environment.","source":"pubmed","abstract":"With increased urbanization, there is increased mobility leading to higher amount of traffic-related activity on a global scale. Most NO x from combustion sources (about 90-95%) are emitted as NO, which is then readily converted to NO 2 in the ambient air, while the remainder is emitted largely as NO 2 . Thus, the bulk of ambient NO 2 is formed due to secondary production in the atmosphere, and which R-LINE cannot predict given that it can only model the dispersion of primary air pollutants. NO 2 concentrations near major roads are appreciably higher than those measured at monitors in existing networks in urban areas, motivating a need to incorporate a mechanism in R-LINE to account for NO 2 formation. To address this, we implemented three different approaches in order of increasing degrees of complexity and barrier to implementation from simplest to more complex. The first is an empirical approach based upon fitting a 4 th order polynomial to existing near-road observations across the continental U.S., the second involves a simplified two-reaction chemical scheme, and the third involves a more detailed set of chemical reactions based upon the Generic Reaction Set (GRS) mechanism. All models were able to estimate more than 75% of concentrations within a factor of two of the near-road monitoring data and produced comparable performance statistics. These results indicate that the performance of the new R-LINE chemistry algorithms for predicting NO 2 is comparable to other models (i.e. ADMS-Roads with GRS), both showing less than &#xb1;15% fractional bias and less than 45% normalized mean square error.","url":"https://pubmed.ncbi.nlm.nih.gov/29780271/","authors":["Valencia A","Venkatram A","Heist D","Carruthers D","Arunachalam S"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2018","doi":"10.1016/j.trd.2018.01.028","addedAt":"2026-08-31T06:39:47.154Z","updatedAt":"2026-08-31T06:39:47.154Z"},{"id":"pmid:29710784","name":"Evaluating Health Co-Benefits of Climate Change Mitigation in Urban Mobility.","source":"pubmed","abstract":"There is growing recognition that implementation of low-carbon policies in urban passenger transport has near-term health co-benefits through increased physical activity and improved air quality. Nevertheless, co-benefits and related cost reductions are often not taken into account in decision processes, likely because they are not easy to capture. In an interdisciplinary multi-model approach we address this gap, investigating the co-benefits resulting from increased physical activity and improved air quality due to climate mitigation policies for three urban areas. Additionally we take a (macro-)economic perspective, since that is the ultimate interest of policy-makers. Methodologically, we link a transport modelling tool, a transport emission model, an emission dispersion model, a health model and a macroeconomic Computable General Equilibrium (CGE) model to analyze three climate change mitigation scenarios. We show that higher levels of physical exercise and reduced exposure to pollutants due to mitigation measures substantially decrease morbidity and mortality. Expenditures are mainly born by the public sector but are mostly offset by the emerging co-benefits. Our macroeconomic results indicate a strong positive welfare effect, yet with slightly negative GDP and employment effects. We conclude that considering economic co-benefits of climate change mitigation policies in urban mobility can be put forward as a forceful argument for policy makers to take action.","url":"https://pubmed.ncbi.nlm.nih.gov/29710784/","authors":["Wolkinger B","Haas W","Bachner G","Weisz U","Steininger K","Hutter HP","Delcour J","Griebler R","Mittelbach B","Maier P","Reifeltshammer R"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2018 Apr 28","doi":"10.3390/ijerph15050880","addedAt":"2026-08-31T06:39:47.154Z","updatedAt":"2026-08-31T06:39:47.154Z"},{"id":"pmid:29710631","name":"Dynamic assessments of population exposure to urban greenspace using multi-source big data.","source":"pubmed","abstract":"A growing body of evidence has proven that urban greenspace is beneficial to improve people's physical and mental health. However, knowledge of population exposure to urban greenspace across different spatiotemporal scales remains unclear. Moreover, the majority of existing environmental assessments are unable to quantify how residents enjoy their ambient greenspace during their daily life. To deal with this challenge, we proposed a dynamic method to assess urban greenspace exposure with the integration of mobile-phone locating-request (MPL) data and high-spatial-resolution remote sensing images. This method was further applied to 30 major cities in China by assessing cities' dynamic greenspace exposure levels based on residents' surrounding areas with different buffer scales (0.5km, 1km, and 1.5km). Results showed that regarding residents' 0.5-km surrounding environment, Wenzhou and Hangzhou were found to be with the greenest exposure experience, whereas Zhengzhou and Tangshan were the least ones. The obvious diurnal and daily variations of population exposure to their surrounding greenspace were also identified to be highly correlated with the distribution pattern of urban greenspace and the dynamics of human mobility. Compared with two common measurements of urban greenspace (green coverage rate and green area per capita), the developed method integrated the dynamics of population distribution and geographic locations of urban greenspace into the exposure assessment, thereby presenting a more reasonable way to assess population exposure to urban greenspace. Additionally, this dynamic framework could hold potential utilities in supporting urban planning studies and environmental health studies and advancing our understanding of the magnitude of population exposure to greenspace at different spatiotemporal scales.","url":"https://pubmed.ncbi.nlm.nih.gov/29710631/","authors":["Song Y","Huang B","Cai J","Chen B"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2018 Sep 1","doi":"10.1016/j.scitotenv.2018.04.061","addedAt":"2026-08-31T06:39:47.154Z","updatedAt":"2026-08-31T06:39:47.154Z"},{"id":"pmid:29702326","name":"Geochemistry and carbon isotopic ratio for assessment of PM(10) composition, source and seasonal trends in urban environment.","source":"pubmed","abstract":"Investigating the nature of PM 10 is crucial to differentiate sources and their relative contributions. In this study we compared the levels, and the chemical and mineralogical properties of PM 10 particles sampled in different seasons at monitoring stations representative of urban background, urban traffic and suburban traffic areas of Naples city. The aims were to relate the PM 10 load and characteristics to the location of the monitoring stations, to investigate the different sources contributing to PM 10 and to highlight PM 10 seasonal variability. Bulk analyses of chemical species in the PM 10 fraction included total carbon and nitrogen, &#x3b4; 13 C and other 20 elements. Both natural and anthropogenic sources were found to contribute to the exceedances of the EU PM 10 limit values. The natural contribution was mainly related to marine aerosols and soil dust, as highlighted by X-ray diffractometry and SEM-EDS microscopy. The percentage of total carbon suggested a higher contribution of biogenic components to PM 10 in spring. However, this result was not supported by the &#x3b4; 13 C values which were seasonally homogeneous and not sufficient to extract single emission sources. No significant differences, in terms of PM 10 load and chemistry, were observed between monitoring stations with different locations, suggesting a homogeneous distribution of PM 10 on the studied area in all seasons. The anthropogenic contribution to PM 10 seemed to dominate in all sites and seasons with vehicular traffic acting as a main source mostly by generation of non-exhaust emissions Our findings reinforce the need to focus more on the analysis of PM 10 in terms of quality than of load, to reconsider the criteria for the classification and the spatial distribution of the monitoring stations within urban and suburban areas, with a special attention to the background location, and to emphasize all the policies promoting sustainable mobility and reduction of both exhaust and not-exhaust traffic-related emissions.","url":"https://pubmed.ncbi.nlm.nih.gov/29702326/","authors":["Di Palma A","Capozzi F","Agrelli D","Amalfitano C","Giordano S","Spagnuolo V","Adamo P"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2018 Aug","doi":"10.1016/j.envpol.2018.04.064","addedAt":"2026-08-31T06:39:47.154Z","updatedAt":"2026-08-31T06:39:47.154Z"},{"id":"pmid:29700403","name":"Quantifying population exposure to air pollution using individual mobility patterns inferred from mobile phone data.","source":"pubmed","abstract":"A critical question in environmental epidemiology is whether air pollution exposures of large populations can be refined using individual mobile-device-based mobility patterns. Cellular network data has become an essential tool for understanding the movements of human populations. As such, through inferring the daily home and work locations of 407,435 mobile phone users whose positions are determined, we assess exposure to PM 2.5 . Spatiotemporal PM 2.5 concentrations are predicted using an Aerosol Optical Depth- and Land Use Regression-combined model. Air pollution exposures of subjects are assigned considering modeled PM 2.5 levels at both their home and work locations. These exposures are then compared to residence-only exposure metric, which does not consider daily mobility. In our study, we demonstrate that individual air pollution exposures can be quantified using mobile device data, for populations of unprecedented size. In examining mean annual PM 2.5 exposures determined, bias for the residence-based exposures was 0.91, relative to the exposure metric considering the work location. Thus, we find that ignoring daily mobility potentially contributes to misclassification in health effect estimates. Our framework for understanding population exposure to environmental pollution could play a key role in prospective environmental epidemiological studies.","url":"https://pubmed.ncbi.nlm.nih.gov/29700403/","authors":["Nyhan MM","Kloog I","Britter R","Ratti C","Koutrakis P"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2019 Mar","doi":"10.1038/s41370-018-0038-9","addedAt":"2026-08-31T06:39:47.154Z","updatedAt":"2026-08-31T06:39:47.154Z"},{"id":"pmid:31872750","name":"Developing Multipollutant Exposure Indicators of Traffic Pollution: The Dorm Room Inhalation to Vehicle Emissions (DRIVE) Study.","source":"pubmed","abstract":"The Dorm Room Inhalation to Vehicle Emissions (DRIVE 2 ) study was conducted to measure traditional single-pollutant and novel multipollutant traffic indicators along a complete emission-to-exposure pathway. The overarching goal of the study was to evaluate the suitability of these indicators for use as primary traffic exposure metrics in panel-based and small-cohort epidemiological studies.","url":"https://pubmed.ncbi.nlm.nih.gov/31872750/","authors":["Sarnat JA","Russell A","Liang D","Moutinho JL","Golan R","Weber RJ","Gao D","Sarnat SE","Chang HH","Greenwald R","Yu T"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2018 Apr","doi":"","addedAt":"2026-08-31T06:39:47.154Z","updatedAt":"2026-08-31T06:39:47.154Z"},{"id":"pmid:29511287","name":"Residential mobility of pregnant women and implications for assessment of spatially-varying environmental exposures.","source":"pubmed","abstract":"Health studies on spatially-varying exposures (e.g., air pollution) during pregnancy often estimate exposure using residence at birth, disregarding residential mobility. We investigated moving patterns in pregnant women (n&#x2009;=&#x2009;10,116) in linked cohorts focused on Connecticut and Massachusetts, U.S., 1988-2008. Moving patterns were assessed by race/ethnicity, age, marital status, education, working status, population density, parity, income, and season of birth. In this population, 11.6% of women moved during pregnancy. Movers were more likely to be younger, unmarried, and living in urban areas with no previous children. Among movers, multiple moves were more likely for racial/ethnic minority, younger, less educated, unmarried, and lower income women. Most moves occurred later in pregnancy, with 87.4% of first moves in the second or third trimester, although not all cohort subjects enrolled in the first few weeks of pregnancy. Distance between first and second residence had a median value of 5.2&#x2009;km (interquartile range 11.3&#x2009;km, average 57.8&#x2009;km, range 0.0-4277&#x2009;km). Women moving larger distances were more likely to be white, older, married, and work during pregnancy. Findings indicate that residential mobility may impact studies of spatially-varying exposure during pregnancy and health and that subpopulations vary in probability of moving, and timing and distance of moves.","url":"https://pubmed.ncbi.nlm.nih.gov/29511287/","authors":["Bell ML","Banerjee G","Pereira G"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2018 Sep","doi":"10.1038/s41370-018-0026-0","addedAt":"2026-08-31T06:39:47.154Z","updatedAt":"2026-08-31T06:39:47.154Z"},{"id":"pmid:29474387","name":"Mobile phones as monitors of personal exposure to air pollution: Is this the future?","source":"pubmed","abstract":"Mobile phones have a large spectrum of applications, aiding in risk prevention and improving health and wellbeing of their owners. So far, however, they have not been used for direct assessment of personal exposure to air pollution. In this study, we comprehensively evaluated the first, and the only available, mobile phone-BROAD Life-equipped with air pollution sensors (PM2.5 and VOC), to answer the question whether this technology is a viable option in the quest of reducing the burden of disease to air pollution. We tested its performance, applicability and suitability for the purpose by subjecting it to varied concentrations of different types of aerosol particles (cigarette smoke, petrol exhaust and concrete dust) and formaldehyde under controlled laboratory conditions, as well as to ambient particles during field measurements. Six reference instruments were used in the study: AEROTRAK Optical Particle Counter (OPC model number 9306), DustTrak, Aerodynamic Particle Counter (APS), Scanning Mobility Particle Sizer (SMPS), Tapered Element Oscillating Microbalance (TEOM) and Formaldehyde Analyser. Overall, we found that the phone's response was linear at higher particle number concentrations in the chamber, above 5 and 10 &#x3bc;g m-3, for combustion and concrete dust particles, respectively, and for higher formaldehyde concentrations, making it potentially suitable for applications in polluted environments. At lower ambient concentrations of particles around 10 ug m-3 and 20 &#x3bc;g m-3 for PM2.5 and PM10, respectively, the phone's response was below its noise level, suggesting that it is not suitable for ambient monitoring under relatively clean urban conditions. This mobile phone has a number of limitations that may hinder its use in personal exposure and for continuous monitoring. Despite these limitations, it may be used for comparative assessments, for example when comparing outcomes of intervention measures or local impacts of air pollution sources. It should be kept in mind, however, that a mobile phone measuring air quality alone cannot as such 'reduce the burden of disease to air pollution, as knowing ambient concentrations is only one of the building block in this quest. As long as individuals cannot avoid exposure e.g. in urban areas, knowing concentrations is not sufficient to reduce potential adverse effects. Yet, there are many situations and microenvironments, which individuals could avoid knowing the concentrations and also being aware of the risk caused by exposure to them. This includes for example to proximity to vehicle emissions, either for social purposes (e.g. street cafes) or exercising (e.g. walking or jogging along busy roads)or indoor environments affected by combustion emissions (smoking, candle burning, open fire).","url":"https://pubmed.ncbi.nlm.nih.gov/29474387/","authors":["Nyarku M","Mazaheri M","Jayaratne R","Dunbabin M","Rahman MM","Uhde E","Morawska L"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2018","doi":"10.1371/journal.pone.0193150","addedAt":"2026-08-31T06:39:47.154Z","updatedAt":"2026-08-31T06:39:47.154Z"},{"id":"pmid:29467106","name":"Ultrafine and Fine Particle Number and Surface Area Concentrations and Daily Cause-Specific Mortality in the Ruhr Area, Germany, 2009-2014.","source":"pubmed","abstract":"Although epidemiologic studies have shown associations between particle mass and daily mortality, evidence on other particle metrics is weak.","url":"https://pubmed.ncbi.nlm.nih.gov/29467106/","authors":["Hennig F","Quass U","Hellack B","Küpper M","Kuhlbusch TAJ","Stafoggia M","Hoffmann B"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2018 Feb 15","doi":"10.1289/EHP2054","addedAt":"2026-08-31T06:39:47.154Z","updatedAt":"2026-08-31T06:39:47.154Z"},{"id":"pmid:29398182","name":"Sustainability assessment for the transportation environment of Darjeeling, India.","source":"pubmed","abstract":"Darjeeling is an important tourist hill town of West Bengal, India. It suffers from an acute problem of transportation, particularly during its peak tourist seasons due to limited road space, inadequate public transport facilities and indiscriminate use of automobiles. This hill town was originally designed for a population of 10,000, but over the years, it has come face-to-face with rapid urbanization, a rising population of both tourists and residents and intensifying motor vehicle usage. These factors together are posing a threat to its transport environment. This study identifies the Sustainable Transport Indicators (STIs) available in the existing literature to identify the critical stretches using Analytical Hierarchy Process (AHP) based on experts' consensus. It was found that the experts placed emphasis on the mobility of the town, talking about vehicular impact on air pollution and encroachment of roads as the main issues affecting the sustainability of the transport environment. Thereafter, policy-level interventions have been suggested in accordance with the identified sustainability issues. We trust that other tourist hill towns with issues similar to Darjeeling could easily emulate the study methodology to assess their transport environment sustainability, or replicate on the lines of the recommended policy interventions.","url":"https://pubmed.ncbi.nlm.nih.gov/29398182/","authors":["Nag D","Paul SK","Saha S","Goswami AK"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2018 May 1","doi":"10.1016/j.jenvman.2018.01.042","addedAt":"2026-08-31T06:39:47.154Z","updatedAt":"2026-08-31T06:39:47.154Z"},{"id":"pmid:31883241","name":"A Dynamic Three-Dimensional Air Pollution Exposure Model for Hong Kong.","source":"pubmed","abstract":"High-density high-rise cities have become a more prominent feature globally. Air quality is a significant public health risk in many of these cities. There is a need to better understand the extent to which vertical variation in air pollution and population mobility in such cities affect exposure and exposure-response relationships in epidemiological studies.","url":"https://pubmed.ncbi.nlm.nih.gov/31883241/","authors":["Barratt B","Lee M","Wong P","Tang R","Tsui TH","Cheng W","Yang Y","Lai PC","Tian L","Thach TQ","Allen R","Brauer M"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2018 Feb","doi":"","addedAt":"2026-08-31T06:39:47.154Z","updatedAt":"2026-08-31T06:39:47.154Z"},{"id":"pmid:29301536","name":"The health impacts of climate-related migration.","source":"pubmed","abstract":"Changes in climate, in conjunction with other drivers of mobility, shape human migration. While there is an increasing focus on the adaptive potential of migration, the health impacts of climate-related migration, including planned relocation and forced displacement, have not been thoroughly examined. The Intergovernmental Panel on Climate Change stated that migration is currently, and will increasingly be, influenced by environmental degradation and climate change, and that it needs to be addressed in a focused and coordinated manner.","url":"https://pubmed.ncbi.nlm.nih.gov/29301536/","authors":["Schwerdtle P","Bowen K","McMichael C"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2017 Dec 11","doi":"10.1186/s12916-017-0981-7","addedAt":"2026-08-31T06:39:47.154Z","updatedAt":"2026-08-31T06:39:47.154Z"},{"id":"pmid:29149175","name":"The introduction of dengue follows transportation infrastructure changes in the state of Acre, Brazil: A network-based analysis.","source":"pubmed","abstract":"Human mobility, presence and passive transportation of Aedes aegypti mosquito, and environmental characteristics are a group of factors which contribute to the success of dengue spread and establishment. To understand this process, we assess data from dengue national and municipal basins regarding population and demographics, transportation network, human mobility, and Ae. aegypti monitoring for the Brazilian state of Acre since the first recorded dengue case in the year 2000 to the year 2015. During this period, several changes in Acre's transport infrastructure and urbanization have been started. To reconstruct the process of dengue introduction in Acre, we propose an analytic framework based on concepts used in malaria literature, namely vulnerability and receptivity, to inform risk assessments in dengue-free regions as well as network theory concepts for disease invasion and propagation. We calculate the probability of dengue importation to Acre from other Brazilian states, the evolution of dengue spread between Acrean municipalities and dengue establishment in the state. Our findings suggest that the landscape changes associated with human mobility have created favorable conditions for the establishment of dengue virus transmission in Acre. The revitalization of its major roads, as well as the increased accessibility by air to and within the state, have increased dengue vulnerability. Unplanned urbanization and population growth, as observed in Acre during the period of study, contribute to ideal conditions for Ae. aegypti mosquito establishment, increase the difficulty in mosquito control and consequently its local receptivity.","url":"https://pubmed.ncbi.nlm.nih.gov/29149175/","authors":["Lana RM","Gomes MFDC","Lima TFM","Honório NA","Codeço CT"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2017 Nov","doi":"10.1371/journal.pntd.0006070","addedAt":"2026-08-31T06:39:47.154Z","updatedAt":"2026-08-31T06:39:47.154Z"},{"id":"pmid:29102885","name":"Temporal distribution and other characteristics of new particle formation events in an urban environment.","source":"pubmed","abstract":"Studying the characteristics of new particle formation (NPF) is important as it is generally recognized as a major contributor to particle pollution in urban environments. We investigated NPF events that occurred during a 1-year period in the urban environment of Brisbane, Australia, using a neutral cluster and air ion spectrometer (NAIS) which is able to monitor both neutral and charged particles and clusters down to a size of 0.8&#xa0;nm. NPF events occurred on 41% of days, with the occurrence rate of 7% greater in the summer than in the winter. We derived the first diurnal event distribution of NPF events anywhere in the world and showed that the most probable starting time of an NPF event was near 08:30 a.m., being about an hour earlier in the winter than in the summer. During NPF days, 10% of particles were charged. The mean neutral and charged particle concentrations on NPF days were, respectively, 49% and 14% higher than those on non-event days. The mean formation rate of 2-3&#xa0;nm particles during an NPF event was 20.8&#xa0;cm -3 &#xa0;s -1 . The formation rate of negatively charged particles was about 10% higher than that of positively charged particles. The mean particle growth rate in the size range up to 20&#xa0;nm was 6.2&#xa0;nm&#xa0;h -1 . These results are compared and contrasted with corresponding values that have been derived with the scanning mobility particle sizer (SMPS) at the same location and with values that have been reported with the NAIS at other locations around the world. This is the first comprehensive study of the characteristics of NPF events over a significantly long period in Australia.","url":"https://pubmed.ncbi.nlm.nih.gov/29102885/","authors":["Pushpawela B","Jayaratne R","Morawska L"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2018 Feb","doi":"10.1016/j.envpol.2017.10.102","addedAt":"2026-08-31T06:39:47.154Z","updatedAt":"2026-08-31T06:39:47.154Z"},{"id":"pmid:29061144","name":"An evaluation of transport mode shift policies on transport-related physical activity through simulations based on random forests.","source":"pubmed","abstract":"Physical inactivity is widely recognized as one of the leading causes of mortality, and transport accounts for a large part of people's daily physical activity. This study develops a simulation approach to evaluate the impact of the Ile-de-France Urban Mobility Plan (2010-2020) on physical activity, under the hypothesis that the intended transport mode shifts are realized.","url":"https://pubmed.ncbi.nlm.nih.gov/29061144/","authors":["Brondeel R","Kestens Y","Chaix B"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2017 Oct 23","doi":"10.1186/s12966-017-0600-1","addedAt":"2026-08-31T06:39:47.154Z","updatedAt":"2026-08-31T06:39:47.154Z"},{"id":"pmid:29040950","name":"Green spaces are not all the same for the provision of air purification and climate regulation services: The case of urban parks.","source":"pubmed","abstract":"The growing human population concentrated in urban areas lead to the increase of road traffic and artificial areas, consequently enhancing air pollution and urban heat island effects, among others. These environmental changes affect citizen's health, causing a high number of premature deaths, with considerable social and economic costs. Nature-based solutions are essential to ameliorate those impacts in urban areas. While the mere presence of urban green spaces is pointed as an overarching solution, the relative importance of specific vegetation structure, composition and management to improve the ecosystem services of air purification and climate regulation are overlooked. This avoids the establishment of optimized planning and management procedures for urban green spaces with high spatial resolution and detail. Our aim was to understand the relative contribution of vegetation structure, composition and management for the provision of ecosystem services of air purification and climate regulation in urban green spaces, in particular the case of urban parks. This work was done in a large urban park with different types of vegetation surrounded by urban areas. As indicators of microclimatic effects and of air pollution levels we selected different metrics: lichen diversity and pollutants accumulation in lichens. Among lichen diversity, functional traits related to nutrient and water requirements were used as surrogates of the capacity of vegetation to filter air pollution and to regulate climate, and provide air purification and climate regulation ecosystem services, respectively. This was also obtained with very high spatial resolution which allows detailed spatial planning for optimization of ecosystem services. We found that vegetation type characterized by a more complex structure (trees, shrubs and herbaceous layers) and by the absence of management (pruning, irrigation and fertilization) had a higher capacity to provide the ecosystems services of air purification and climate regulation. By contrast, lawns, which have a less complex structure and are highly managed, were associated to a lower capacity to provide these services. Tree plantations showed an intermediate effect between the other two types of vegetation. Thus, vegetation structure, composition and management are important to optimize green spaces capacity to purify air and regulate climate. Taking this into account green spaces can be managed at high spatial resolutions to optimize these ecosystem services in urban areas and contribute to improve human well-being.","url":"https://pubmed.ncbi.nlm.nih.gov/29040950/","authors":["Vieira J","Matos P","Mexia T","Silva P","Lopes N","Freitas C","Correia O","Santos-Reis M","Branquinho C","Pinho P"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2018 Jan","doi":"10.1016/j.envres.2017.10.006","addedAt":"2026-08-31T06:39:47.154Z","updatedAt":"2026-08-31T06:39:47.154Z"},{"id":"pmid:28991422","name":"Emission Standards, Public Transit, and Infant Health.","source":"pubmed","abstract":"Transit buses are an integral part of urban life. They reduce externalities generated from private vehicles and increase geographic mobility. However, unlike most private vehicles in the United States, they use diesel fuel and emit higher amounts of toxic pollutants. The U.S. Environmental Protection Agency set emission standards for transit buses starting in 1988 that have been continually updated, but their public health and economic impacts are unclear due to scarce emissions data. I construct a novel panel dataset for the New York City (NYC) Transit bus fleet between 1990 and 2009 and examine the impact of bus pollution on infant health by using bus vintage as a proxy for emissions. I exploit the variation in vintage as older buses are retired and replaced with newer, lower-emitting buses forced to adhere to stricter emission standards. I then assign maternal exposure to bus vintage at the census block level. Findings suggest that maternal exposure to the oldest, unregulated buses is associated with modest reductions in birth weight and gestational age relative to newer buses that abide by emissions policies. I then conduct a back-of-the-envelope cost-benefit calculation and find net economic benefits of $53.3 million resulting from improved emission standards for the 2009 birth cohort in NYC. Since the treatment in this study clearly maps to federal emissions policies, these results are the first to provide credible evidence that transit bus emission standards had a positive effect on infant health.","url":"https://pubmed.ncbi.nlm.nih.gov/28991422/","authors":["Ngo NS"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2017","doi":"10.1002/pam.22015","addedAt":"2026-08-31T06:39:47.154Z","updatedAt":"2026-08-31T06:39:47.154Z"},{"id":"pmid:28757661","name":"Mineral and Anthropogenic Indicator Inorganics in Urban Stormwater and Snowmelt Runoff: Sources and Mobility Patterns.","source":"pubmed","abstract":"Inorganic chemicals in urban stormwater and snowmelt runoff originate from catchment geology and anthropogenic activities. The occurrence, partitioning and mobility of six minerals and six trace metal (TM) indicators of anthropogenic activities were studied in stormwater, snowmelt and baseflow in four urban catchments, and the sampling of inorganics was supplemented by measurements of electrical conductivity (EC), pH and total suspended solids (TSSs). Minerals occurred at concentrations several orders of magnitude higher (1-10 2 &#xa0;mg/L) than those of TMs (10 -2 -10 2 &#xa0;&#x3bc;g/L) and reflected the composition of local groundwater seeping into sewers. Concentrations of Ca, K, Mg and Na were enhanced by baseflow contributions and followed closely the electrical conductivity. Al and Fe minerals occurred in insoluble forms, and their pollutographs were similar to those of TMs, whose concentrations mimicked, to some extent, the flux of TSS. The TMs with the highest and lowest particulate fractions were Cr&amp;Pb and Cu&amp;Zn, respectively. The concentrations of total TMs in snowmelt were two to four times higher than those in stormwater, and both sources likely exceeded some of the stormwater effluent limits (for Cd, Cu and Zn) proposed in Sweden. Where such concentrations depended on water hardness, the risk of toxicity might be reduced by elevated hardness of the monitored snowmelt and stormwater. Recognizing the good ecological status of the study area receiving water, Lake Storsj&#xf6;n, some protection against polluted runoff and snowmelt may be needed and could be achieved by implementing stormwater management measures controlling TSS and TMs.","url":"https://pubmed.ncbi.nlm.nih.gov/28757661/","authors":["Galfi H","Österlund H","Marsalek J","Viklander M"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2017","doi":"10.1007/s11270-017-3438-x","addedAt":"2026-08-31T06:39:47.154Z","updatedAt":"2026-08-31T06:39:47.154Z"},{"id":"pmid:28708095","name":"Predictors of Daily Mobility of Adults in Peri-Urban South India.","source":"pubmed","abstract":"Daily mobility, an important aspect of environmental exposures and health behavior, has mainly been investigated in high-income countries. We aimed to identify the main dimensions of mobility and investigate their individual, contextual, and external predictors among men and women living in a peri-urban area of South India. We used 192 global positioning system (GPS)-recorded mobility tracks from 47 participants (24 women, 23 men) from the Cardiovascular Health effects of Air pollution in Telangana, India (CHAI) project (mean: 4.1 days/person). The mean age was 44 (standard deviation: 14) years. Half of the population was illiterate and 55% was in unskilled manual employment, mostly agriculture-related. Sex was the largest determinant of mobility. During daytime, time spent at home averaged 13.4 (3.7) h for women and 9.4 (4.2) h for men. Women's activity spaces were smaller and more circular than men's. A principal component analysis identified three main mobility dimensions related to the size of the activity space, the mobility in/around the residence, and mobility inside the village, explaining 86% (women) and 61% (men) of the total variability in mobility. Age, socioeconomic status, and urbanicity were associated with all three dimensions. Our results have multiple potential applications for improved assessment of environmental exposures and their effects on health.","url":"https://pubmed.ncbi.nlm.nih.gov/28708095/","authors":["Sanchez M","Ambros A","Salmon M","Bhogadi S","Wilson RT","Kinra S","Marshall JD","Tonne C"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2017 Jul 14","doi":"10.3390/ijerph14070783","addedAt":"2026-08-31T06:39:47.154Z","updatedAt":"2026-08-31T06:39:47.154Z"},{"id":"pmid:28493193","name":"The first survey of airborne trace elements at airport using moss bag technique.","source":"pubmed","abstract":"Air traffic represents an important way of social mobility in the world, and many ongoing discussions are related to the impacts that air transportation has on local air quality. In this study, moss Sphagnum girgensohnii was used for the first time in the assessment of trace element content at the international airport. The moss bags were exposed during the summer of 2013 at four sampling sites at the airport 'Nikola Tesla' (Belgrade, Serbia): runway (two), auxiliary runway and parking lot. According to the relative accumulation factor (RAF) and the limit of quantification of the moss bag technique (LOQ T ), the most abundant elements in the samples were Zn, Na, Cr, V, Cu and Fe. A comparison between the element concentrations at the airport and the corresponding values in different land use classes (urban central, suburban, industrial and green zones) across the city of Belgrade did not point out that the air traffic and associated activities significantly contribute to the trace element air pollution. This study emphasised an easy operational and robust (bio)monitoring, using moss bags as a suitable method for assessment of air quality within various microenvironments with restriction in positioning referent instrumental devices.","url":"https://pubmed.ncbi.nlm.nih.gov/28493193/","authors":["Vuković G","Urošević MA","Škrivanj S","Vergel K","Tomašević M","Popović A"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2017 Jun","doi":"10.1007/s11356-017-9140-0","addedAt":"2026-08-31T06:39:47.154Z","updatedAt":"2026-08-31T06:39:47.154Z"},{"id":"pmid:28445398","name":"Consensus-Based Cooperative Control Based on Pollution Sensing and Traffic Information for Urban Traffic Networks.","source":"pubmed","abstract":"Nowadays many studies are being conducted to develop solutions for improving the performance of urban traffic networks. One of the main challenges is the necessary cooperation among different entities such as vehicles or infrastructure systems and how to exploit the information available through networks of sensors deployed as infrastructures for smart cities. In this work an algorithm for cooperative control of urban subsystems is proposed to provide a solution for mobility problems in cities. The interconnected traffic lights controller ( TLC ) network adapts traffic lights cycles, based on traffic and air pollution sensory information, in order to improve the performance of urban traffic networks. The presence of air pollution in cities is not only caused by road traffic but there are other pollution sources that contribute to increase or decrease the pollution level. Due to the distributed and heterogeneous nature of the different components involved, a system of systems engineering approach is applied to design a consensus-based control algorithm. The designed control strategy contains a consensus-based component that uses the information shared in the network for reaching a consensus in the state of TLC network components. Discrete event systems specification is applied for modelling and simulation. The proposed solution is assessed by simulation studies with very promising results to deal with simultaneous responses to both pollution levels and traffic flows in urban traffic networks.","url":"https://pubmed.ncbi.nlm.nih.gov/28445398/","authors":["Artuñedo A","Del Toro RM","Haber RE"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2017 Apr 26","doi":"10.3390/s17050953","addedAt":"2026-08-31T06:39:47.154Z","updatedAt":"2026-08-31T06:39:47.154Z"},{"id":"pmid:28241509","name":"The Association between Ambient Air Pollution and Allergic Rhinitis: Further Epidemiological Evidence from Changchun, Northeastern China.","source":"pubmed","abstract":"With the continuous rapid urbanization process over the last three decades, outdoors air pollution has become a progressively more serious public health hazard in China. To investigate the possible associations, lag effects and seasonal differences of urban air quality on respiratory health (allergic rhinitis) in Changchun, a city in Northeastern China, we carried out a time-series analysis of the incidents of allergic rhinitis (AR) from 2013 to 2015. Environmental monitoring showed that PM 2.5 and PM 10 were the major air pollutants in Changchun, followed by SO&#x2082;, NO&#x2082; and O&#x2083;. The results also demonstrated that the daily concentrations of air pollutants had obvious seasonal differences. PM 10 had higher daily mean concentrations in spring (May, dust storms), autumn (October, straw burning) and winter (November to April, coal burning). The mean daily number of outpatient AR visits in the warm season was higher than in the cold season. The prevalence of allergic rhinitis was significantly associated with PM 2.5 , PM 10 , SO&#x2082; and NO&#x2082;, and the increased mobility was 10.2% (95% CI, 5.5%-15.1%), 4.9% (95% CI, 0.8%-9.2%), 8.5% (95% CI, -1.8%-19.8%) and 11.1% (95% CI, 5.8%-16.5%) for exposure to each 1-Standard Deviation (1-SD) increase of pollutant, respectively. Weakly or no significant associations were observed for CO and O&#x2083;. As for lag effects, the highest Relative Risks (RRs) of AR from SO&#x2082;, NO&#x2082;, PM 10 and PM 2.5 were on the same day, and the highest RR from CO was on day 4 (L4). The results also indicated that the concentration of air pollutants might contribute to the development of AR. To summarize, this study provides further evidence of the significant association between ambient particulate pollutants (PM 2.5 and PM 10 , which are usually present in high concentrations) and the prevalence of respiratory effects (allergic rhinitis) in the city of Changchun, located in Northeastern China. Environmental control and public health strategies should be enforced to address this increasingly challenging problem.","url":"https://pubmed.ncbi.nlm.nih.gov/28241509/","authors":["Teng B","Zhang X","Yi C","Zhang Y","Ye S","Wang Y","Tong DQ","Lu B"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2017 Feb 23","doi":"10.3390/ijerph14030226","addedAt":"2026-08-31T06:39:47.154Z","updatedAt":"2026-08-31T06:39:47.154Z"},{"id":"pmid:28187123","name":"Human mobility and the spatial transmission of influenza in the United States.","source":"pubmed","abstract":"Seasonal influenza epidemics offer unique opportunities to study the invasion and re-invasion waves of a pathogen in a partially immune population. Detailed patterns of spread remain elusive, however, due to lack of granular disease data. Here we model high-volume city-level medical claims data and human mobility proxies to explore the drivers of influenza spread in the US during 2002-2010. Although the speed and pathways of spread varied across seasons, seven of eight epidemics likely originated in the Southern US. Each epidemic was associated with 1-5 early long-range transmission events, half of which sparked onward transmission. Gravity model estimates indicate a sharp decay in influenza transmission with the distance between infectious and susceptible cities, consistent with spread dominated by work commutes rather than air traffic. Two early-onset seasons associated with antigenic novelty had particularly localized modes of spread, suggesting that novel strains may spread in a more localized fashion than previously anticipated.","url":"https://pubmed.ncbi.nlm.nih.gov/28187123/","authors":["Charu V","Zeger S","Gog J","Bjørnstad ON","Kissler S","Simonsen L","Grenfell BT","Viboud C"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2017 Feb","doi":"10.1371/journal.pcbi.1005382","addedAt":"2026-08-31T06:39:47.154Z","updatedAt":"2026-08-31T06:39:47.154Z"},{"id":"pmid:28115147","name":"Characterization of particle number size distribution and new particle formation in Southern China.","source":"pubmed","abstract":"Knowledge of particle number size distribution (PND) and new particle formation (NPF) events in Southern China is essential for mitigation strategies related to submicron particles and their effects on regional air quality, haze, and human health. In this study, seven field measurement campaigns were conducted from December 2013 to May 2015 using a scanning mobility particle sizer (SMPS) at four sites in Southern China, including three urban sites and one background site. Particles were measured in the size range of 15-615nm, and the median particle number concentrations (PNCs) were found to vary in the range of 0.3&#xd7;10 4 -2.2&#xd7;10 4 cm -3 at the urban sites and were approximately 0.2&#xd7;10 4 cm -3 at the background site. The peak diameters at the different sites varied largely from 22 to 102nm. The PNCs in the Aitken mode (25-100nm) at the urban sites were up to 10 times higher than they were at the background site, indicating large primary emissions from traffic at the urban sites. The diurnal variations of PNCs were significantly influenced by both rush hour traffic at the urban sites and NPF events. The frequencies of NPF events at the different sites were 0%-30%, with the highest frequency occurring at an urban site during autumn. With higher SO 2 concentrations and higher ambient temperatures being necessary, NPF at the urban site was found to be more influenced by atmospheric oxidizing capability, while NPF at the background site was limited by the condensation sink. This study provides a unique dataset of particle number and size information in various environments in Southern China, which can help understand the sources, formation, and the climate forcing of aerosols in this quickly developing region, as well as help constrain and validate NPF modeling.","url":"https://pubmed.ncbi.nlm.nih.gov/28115147/","authors":["Huang X","Wang C","Peng J","He L","Cao L","Zhu Q","Cui J","Wu Z","Hu M"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2017 Jan","doi":"10.1016/j.jes.2016.05.039","addedAt":"2026-08-31T06:39:47.154Z","updatedAt":"2026-08-31T06:39:47.154Z"},{"id":"pmid:28111595","name":"Physical properties and lung deposition of particles emitted from five major indoor sources.","source":"pubmed","abstract":"The physical properties of indoor particles were measured with an Scanning Mobility Particle Sizer (SMPS) system (14.6-850&#xa0;nm), an Aerodynamic Particle Sizer (APS, 0.54-18&#xa0;&#x3bc;m) and an Hygroscopic Tandem Differential Mobility Analyzer (H-TDMA) in an apartment located in an urban background site in Prague (Czech Republic) from 15 August to 8 September, 2014. The total particle maximum number concentration was 9.38&#x2009;&#xd7;&#x2009;10 4 , 1.46&#x2009;&#xd7;&#x2009;10 5 , 2.89&#x2009;&#xd7;&#x2009;10 4 , 2.25&#x2009;&#xd7;&#x2009;10 5 and 1.57&#x2009;&#xd7;&#x2009;10 6 particles cm -3 for particles released from vacuum cleaning, soap/W5 cleaning spray, smoking, incense burning and cooking (frying) activities, respectively. Particles emitted from cleaning activities showed unimodal number size distributions, with the majority of particles (&gt;98.2&#xa0;%) in the ultrafine size range (Dp &lt;100&#xa0;nm) and modes at a diameter of 19.8&#xa0;nm for vacuum cleaning and 30.6&#xa0;nm for soap/W5 cleaning. Smoking and incense burning predominantly generated particles in the accumulation mode with a count median diameter around 90-150&#xa0;nm while cooking emissions showed a bimodal structure with a main mode at 47.8&#xa0;nm. Particles from vacuum cleaning, incense burning, smoking and cooking emissions were found to be \"nearly hydrophobic\" with an average growth factor (G f ) around 1.01-1.10, while particles emitted from desk cleaning using organic compounds were found to be \"less-hygroscopic\" (G f &#x223c;1.12-1.16). Based on an adjusted MPPD model with a consideration of the hygroscopic properties of particles, the total lung deposition fractions of these particles by number when they penetrate into the human lung were 0.73&#x2009;&#xb1;&#x2009;0.02, 0.62&#x2009;&#xb1;&#x2009;0.03, 0.37&#x2009;&#xb1;&#x2009;0.03, 0.32&#x2009;&#xb1;&#x2009;0.03 and 0.49&#x2009;&#xb1;&#x2009;0.02 for vacuum cleaning, desk cleaning, smoking, incense burning and cooking, respectively.","url":"https://pubmed.ncbi.nlm.nih.gov/28111595/","authors":["Vu TV","Ondracek J","Zdímal V","Schwarz J","Delgado-Saborit JM","Harrison RM"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2017","doi":"10.1007/s11869-016-0424-1","addedAt":"2026-08-31T06:39:47.154Z","updatedAt":"2026-08-31T06:39:47.154Z"},{"id":"pmid:28062106","name":"Medical geology in the framework of the sustainable development goals.","source":"pubmed","abstract":"Exposure to geogenic contaminants (GCs) such as metal(loid)s, radioactive metals and isotopes as well as transuraniums occurring naturally in geogenic sources (rocks, minerals) can negatively impact on environmental and human health. The GCs are released into the environment by natural biogeochemical processes within the near-surface environments and/or by anthropogenic activities such as mining and hydrocarbon exploitation as well as exploitation of geothermal resources. They can contaminate soil, water, air and biota and subsequently enter the food chain with often serious health impacts which are mostly underestimated and poorly recognized. Global population explosion and economic growth and the associated increase in demand for water, energy, food, and mineral resources result in accelerated release of GCs globally. The emerging science of \"medical geology\" assesses the complex relationships between geo-environmental factors and their impacts on humans and environments and is related to the majority of the 17 Sustainable Development Goals in the 2030 Agenda of the United Nations for Sustainable Development. In this paper, we identify multiple lines of evidence for the role of GCs in the incidence of diseases with as yet unknown etiology (causation). Integrated medical geology promises a more holistic understanding of the occurrence, mobility, bioavailability, bio-accessibility, exposure and transfer mechanisms of GCs to the food-chain and humans, and the related ecotoxicological impacts and health effects. Scientific evidence based on this approach will support adaptive solutions for prevention, preparedness and response regarding human and environmental health impacts originating from exposure to GCs.","url":"https://pubmed.ncbi.nlm.nih.gov/28062106/","authors":["Bundschuh J","Maity JP","Mushtaq S","Vithanage M","Seneweera S","Schneider J","Bhattacharya P","Khan NI","Hamawand I","Guilherme LRG","Reardon-Smith K","Parvez F","Morales-Simfors N","Ghaze S","Pudmenzky C","Kouadio L","Chen CY"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2017 Mar 1","doi":"10.1016/j.scitotenv.2016.11.208","addedAt":"2026-08-31T06:39:47.154Z","updatedAt":"2026-08-31T06:39:47.154Z"},{"id":"pmid:27914642","name":"Chemical and physical properties of biomass burning aerosols and their CCN activity: A case study in Beijing, China.","source":"pubmed","abstract":"Biomass burning emits large amounts of both trace gases and particles into the atmosphere. It plays a profound role in regional air quality and climate change. In the present study, an intensive campaign was carried out at an urban site in Beijing, China, in June 2014, which covered the winter wheat harvest season over the North China Plain (NCP). Meanwhile, two evident biomass-burning events were observed. A clear burst in ultrafine particles (below 100nm in diameter, PM 1 ) and subsequent particle growth took place during the events. With the growth of the ultrafine particles, the organic fraction of PM 1 increased significantly. The ratio of oxygen to carbon (O:C), which had an average value of 0.23&#xb1;0.04, did not show an obvious enhancement, indicating that a significant chemical aging process of the biomass-burning aerosols was not observed during the course of events. This finding might have been due to the fact that the biomass-burning events occurred in the late afternoon and grew during the nighttime, which is associated with a low atmospheric oxidation capacity. On average, organics and black carbon (BC) were dominant in the biomass-burning aerosols, accounting for 60&#xb1;10% and 18&#xb1;3% of PM 1 . The high organic and BC fractions led to a significant suppression of particle hygroscopicity. Comparisons among hygroscopicity tandem differential mobility analyzer (HTDMA)-derived, cloud condensation nuclei counter (CCNc)-derived, and aerosol mass spectrometer-based hygroscopicity parameter (&#x3ba;) values were consistent. The mean &#x3ba; values of biomass-burning aerosols derived from both HTDMA and CCNc measurements were approximately 0.1, regardless of the particle size, indicating that the biomass-burning aerosols were less active. The burst in particle count during the biomass-burning events resulted in an increased number of cloud condensation nuclei (CCN) at supersaturation (SS)=0.2-0.8%.","url":"https://pubmed.ncbi.nlm.nih.gov/27914642/","authors":["Wu Z","Zheng J","Wang Y","Shang D","Du Z","Zhang Y","Hu M"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2017 Feb 1","doi":"10.1016/j.scitotenv.2016.11.112","addedAt":"2026-08-31T06:39:47.154Z","updatedAt":"2026-08-31T06:39:47.154Z"},{"id":"pmid:27853535","name":"A model to identify urban traffic congestion hotspots in complex networks.","source":"pubmed","abstract":"The rapid growth of population in urban areas is jeopardizing the mobility and air quality worldwide. One of the most notable problems arising is that of traffic congestion. With the advent of technologies able to sense real-time data about cities, and its public distribution for analysis, we are in place to forecast scenarios valuable for improvement and control. Here, we propose an idealized model, based on the critical phenomena arising in complex networks, that allows to analytically predict congestion hotspots in urban environments. Results on real cities' road networks, considering, in some experiments, real traffic data, show that the proposed model is capable of identifying susceptible junctions that might become hotspots if mobility demand increases.","url":"https://pubmed.ncbi.nlm.nih.gov/27853535/","authors":["Solé-Ribalta A","Gómez S","Arenas A"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2016 Oct","doi":"10.1098/rsos.160098","addedAt":"2026-08-31T06:39:47.154Z","updatedAt":"2026-08-31T06:39:47.154Z"},{"id":"pmid:27834796","name":"A Harmonized Perspective on Transportation Management in Smart Cities: The Novel IoT-Driven Environment for Road Traffic Modeling.","source":"pubmed","abstract":"The unprecedented growth of today's cities together with increased population mobility are fueling the avalanche in the numbers of vehicles on the roads. This development led to the new challenges for the traffic management, including the mitigation of road congestion, accidents, and air pollution. Over the last decade, researchers have been focusing their efforts on leveraging the recent advances in sensing, communications, and dynamic adaptive technologies to prepare the deployed road traffic management systems (TMS) for resolving these important challenges in future smart cities. However, the existing solutions may still be insufficient to construct a reliable and secure TMS that is capable of handling the anticipated influx of the population and vehicles in urban areas. Along these lines, this work systematically outlines a perspective on a novel modular environment for traffic modeling, which allows to recreate the examined road networks in their full resemblance. Our developed solution is targeted to incorporate the progress in the Internet of Things (IoT) technologies, where low-power, embedded devices integrate as part of a next-generation TMS. To mimic the real traffic conditions, we recreated and evaluated a practical traffic scenario built after a complex road intersection within a large European city.","url":"https://pubmed.ncbi.nlm.nih.gov/27834796/","authors":["Masek P","Masek J","Frantik P","Fujdiak R","Ometov A","Hosek J","Andreev S","Mlynek P","Misurec J"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2016 Nov 8","doi":"10.3390/s16111872","addedAt":"2026-08-31T06:39:47.154Z","updatedAt":"2026-08-31T06:39:47.154Z"},{"id":"pmid:27825051","name":"Health risk implications of potentially toxic metals in street dust and surface soil of Tehran, Iran.","source":"pubmed","abstract":"In this study a total of 30 street dusts and 10 surface soils were collected in the central district of Tehran and analyzed for major potentially toxic metals. Street dust was found to be greatly enriched in Sb, Pb, Cu and Zn and moderately enriched in Cr, Mn, Mo and Ni. Contamination of Cu, Sb, Pb and Zn was clearly related to anthropogenic sources such as brake wear, tire dust, road abrasion and fossil fuel combustion. Spatial distribution of pollution load index in street dust suggested that industries located south-west of the city intensify street dust pollution. Microscopic studies revealed six dominant group of morphological structures in calculation of the exposurethe street dusts and surface soils, with respect to different geogenic and anthropogenic sources. The BCR (the European Community Bureau of Reference) sequential extraction results showed that Sb, Ni, Mo, As and Cr bonded to silicates and sulfide minerals were highly resistant to dissolution. In contrast, Zn, Cd, and Mn were mostly associated with the exchangeable phase and thus would be easily mobilized in the environment. Cu was the most abundant metal in the reducible fraction, indicating its adsorption to iron and manganese oxy-hydroxides. Pb was equally extracted from exchangeable and reducible fractions. Anthropogenic sources related to traffic apparently play a small role in Cr, Ni and Mo contamination and dispersed them as bioavailable forms but with reduced mobility and bioavailablity due to high potential of complexation and adsorption to organic matter and iron and manganese oxy-hydroxides. Calculated Hazard Index (HI) suggests ingestion as the most important pathway for the majority of PTMs in children and dermal contact as the main exposure route for Cr, Cd and Sb for adults. The HIs and fractionation pattern of elements revealed Pb as the sole element that bears potential health risk in street dust and surface soil.","url":"https://pubmed.ncbi.nlm.nih.gov/27825051/","authors":["Dehghani S","Moore F","Keshavarzi B","Hale BA"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2017 Feb","doi":"10.1016/j.ecoenv.2016.10.037","addedAt":"2026-08-31T06:39:47.154Z","updatedAt":"2026-08-31T06:39:47.154Z"},{"id":"pmid:27823781","name":"Native herbaceous plant species with potential use in phytoremediation of heavy metals, spotlight on wetlands - A review.","source":"pubmed","abstract":"Soil, air and water pollution caused by the mobility and solubility of heavy metals significantly damages the environment, human health, plants and animals. One common in situ method used for the decontamination of heavy metals is phytoremediation. This usually involves the use of exotic species. However, these species may exhibit invasive behavior, thereby, affect the environmental and ecological dynamics of the ecosystem into which they are introduced. This paper focuses on some native herbaceous plant species reported on the wetlands of Bogota, Colombia, with potential use in phytoremediation of heavy metals. To do that, the authors identified and searched a bibliography based on key words related to heavy metal decontamination. In addition, authors gathered and analyzed relevant information that allowed the comprehension of the phytoremediation process. This paper suggests the study of 41 native or endemic species regarding their behavior towards heavy metal contamination. From a survey of herbaceous plants reported in Bogota, native and endemic species that belong to predominant families in heavy metal accumulation processes were selected. Although found in Colombian's wetlands, these can also be found worldwide. Therefore, they are of great interest due to their global presence and their potential for use in phytoremediation. The current research about the development of phytoremediation focuses on the identification of new herbaceous species able to decontaminate substratum polluted with heavy metals to contribute with the investigation of the ecology and environment of the nature's remnants in urban wetland ecosystems.","url":"https://pubmed.ncbi.nlm.nih.gov/27823781/","authors":["Oyuela Leguizamo MA","Fernández Gómez WD","Sarmiento MCG"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2017 Feb","doi":"10.1016/j.chemosphere.2016.10.075","addedAt":"2026-08-31T06:39:47.154Z","updatedAt":"2026-08-31T06:39:47.154Z"},{"id":"pmid:27783345","name":"Speciation and mobility of volatile heavy metals (Cd, Pb, and Tl) in fly ashes.","source":"pubmed","abstract":"Speciation of volatile metals Cd, Pb, and Tl in fly ashes (FAs) produced from burning of hard coal in stocker-fired boilers (SFBs) was studied. Two grain fractions of fly ash collected in a multicyclone and battery cyclone of the systems of dust separation from three SFB units operating in various urban heating plants were analyzed. The characteristic feature of speciation of the three metals was a large share of labile fractions: Cd (av. 46.1&#xa0;%), Pb (av. 39.8&#xa0;%), and Tl (av. 21.6&#xa0;%). The fraction which most clearly reflected the different chemical properties of the investigated metals was the oxidizable fraction: F(4)-Cd-0&#xa0;%, F(4)-Pb-av. 10.0&#xa0;%, and F(4)-Tl-av. 30.2&#xa0;%. The importance of condensation of the volatile metal species on FA particles for shaping speciation of these metals was characterized using the normalized enrichment factor (NEF): Pb (2.3&#xa0;&#xb1;&#xa0;0.8)&#xa0;&gt;&#xa0;Tl (1.8&#xa0;&#xb1;&#xa0;0.9)&#xa0;&#x2248;&#xa0;Cd (1.7&#xa0;&#xb1;&#xa0;0.6). Speciation of heavy metals may also be important economically, because the level of mobility coefficients (K Cd &#xa0;=&#xa0;0.46, K Pb &#xa0;=&#xa0;0.40, and K Tl &#xa0;=&#xa0;0.22) in the case of fly ashes considerably enriched with toxic metals (Cd 4.8&#xa0;&#xb1;&#xa0;3.4&#xa0;mg/kg, Pb 293&#xa0;&#xb1;&#xa0;210&#xa0;mg/kg, and Tl 6.3&#xa0;&#xb1;&#xa0;4.5&#xa0;mg/kg) may limit their utilization range.","url":"https://pubmed.ncbi.nlm.nih.gov/27783345/","authors":["Świetlik R","Trojanowska M","Karbowska B","Zembrzuski W"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2016 Nov","doi":"10.1007/s10661-016-5648-x","addedAt":"2026-08-31T06:39:47.154Z","updatedAt":"2026-08-31T06:39:47.154Z"},{"id":"pmid:27782363","name":"DNA Damage Potential of Engine Emissions Measured In Vitro by Micronucleus Test in Human Bronchial Epithelial Cells.","source":"pubmed","abstract":"Internal combustion engine emissions belong among the major anthropogenic sources of air pollution in urban areas. According to the International Agency for Research on Cancer, there is sufficient evidence of the carcinogenicity of diesel exhaust in human beings. Although alternative fuels, mainly biodiesel, have recently become popular, little is still known about the genotoxicity of emissions from these fuels. We analysed DNA damage expressed as the frequency of micronuclei (MN) in human bronchial epithelial cells (BEAS-2B), induced by extractable organic matter (EOM; tested concentrations: 1, 10 and 25 &#x3bc;g/ml) obtained from particle emissions from various blends of biodiesel with diesel fuels (including neat diesel fuel (B0), a blend of 70% B0 and 30% biodiesel (B30) and neat biodiesel (B100)). We also tested the effect of selected diesel exhaust organic/genotoxic components [benzo[a]pyrene (B[a]P) concentrations: 25, 100 and 200 &#x3bc;M; 1-nitropyrene (1-NP) concentrations: 1, 5 and 10 &#x3bc;M; 3-nitrobenzanthrone (3-NBA) concentrations: 1, 5 and 50 &#x3bc;M]. The cells were treated with the compounds for 28 and 48 hr. Our results showed that most of the tested compounds (except for the 25 &#x3bc;M B[a]P, 28-hr treatment) significantly increased MN frequency. The genotoxicity of EOMs from the engine emissions of diesel and biodiesel engines was comparable. Both nitro-PAH compounds demonstrated higher genotoxic potential in comparison with B[a]P. Considering our results and due to increasing popularity of alternative fuels, it is prudent that the potential genotoxic effects of various fuels are investigated across engine technologies and operating conditions in a relevant model system.","url":"https://pubmed.ncbi.nlm.nih.gov/27782363/","authors":["Cervena T","Rossnerova A","Sikorova J","Beranek V","Vojtisek-Lom M","Ciganek M","Topinka J","Rossner P Jr"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2017 Sep","doi":"10.1111/bcpt.12693","addedAt":"2026-08-31T06:39:47.154Z","updatedAt":"2026-08-31T06:39:47.154Z"},{"id":"pmid:27671670","name":"Use of science to guide city planning policy and practice: how to achieve healthy and sustainable future cities.","source":"pubmed","abstract":"Land-use and transport policies contribute to worldwide epidemics of injuries and non-communicable diseases through traffic exposure, noise, air pollution, social isolation, low physical activity, and sedentary behaviours. Motorised transport is a major cause of the greenhouse gas emissions that are threatening human health. Urban and transport planning and urban design policies in many cities do not reflect the accumulating evidence that, if policies would take health effects into account, they could benefit a wide range of common health problems. Enhanced research translation to increase the influence of health research on urban and transport planning decisions could address many global health problems. This paper illustrates the potential for such change by presenting conceptual models and case studies of research translation applied to urban and transport planning and urban design. The primary recommendation of this paper is for cities to actively pursue compact and mixed-use urban designs that encourage a transport modal shift away from private motor vehicles towards walking, cycling, and public transport. This Series concludes by urging a systematic approach to city design to enhance health and sustainability through active transport and a move towards new urban mobility. Such an approach promises to be a powerful strategy for improvements in population health on a permanent basis.","url":"https://pubmed.ncbi.nlm.nih.gov/27671670/","authors":["Sallis JF","Bull F","Burdett R","Frank LD","Griffiths P","Giles-Corti B","Stevenson M"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2016 Dec 10","doi":"10.1016/S0140-6736(16)30068-X","addedAt":"2026-08-31T06:39:47.154Z","updatedAt":"2026-08-31T06:39:47.154Z"},{"id":"pmid:27612168","name":"Characteristics of bicycle crashes in an adolescent population in Flanders (Belgium).","source":"pubmed","abstract":"In regions where transportation is mainly motorized, air pollution and traffic congestion are rife. Active transportation such as cycling might be a solution but safety is a major concern. An efficient science based safety policy is needed. The aim of this paper is to analyze in depth the bicycle crash causes and characteristics in an adolescent population (14-18 yr).","url":"https://pubmed.ncbi.nlm.nih.gov/27612168/","authors":["Vanparijs J","Int Panis L","Meeusen R","de Geus B"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2016 Dec","doi":"10.1016/j.aap.2016.08.018","addedAt":"2026-08-31T06:39:47.154Z","updatedAt":"2026-08-31T06:39:47.154Z"},{"id":"pmid:27570200","name":"Source and pathway analysis of lead and polycyclic aromatic hydrocarbons in Lisbon urban soils.","source":"pubmed","abstract":"One hundred soil samples were collected from urban spaces, in Lisbon, Portugal, in two surveys that were carried out in consecutive years, to assess the potential adverse human health effects following exposure to potentially toxic elements and organic compounds in the urban soils. The study hereby described follows on from the earlier work of the authors and aims at performing a source-pathway-fate analysis of lead (Pb) and polycyclic aromatic hydrocarbons (PAHs) in the urban soils in order to increase current knowledge on factors influencing exposure of the population. Various techniques were combined to achieve the proposed goal. Geogenic and anthropogenic sources were apportioned by means of Pb isotope mixing models. Isotope data was further coupled with geographic information system mapping to assess local mixed sources of Pb and PAHs. Unleaded vehicle exhaust and cement production show the largest relative contribution to the total soil-Pb, but their respective importance depends on factors such as location and urban landscape. The primary sources of PAHs to the urban soils are probably air and land traffic. Multivariate analysis was used to investigate which soil properties could influence mobility and fate of the contaminants. Whilst principal components analysis indicates carbonates and other calcium phases as probable factors controlling the dispersion of Pb in the urban soils, the linear models obtained from stepwise multiple regression analysis show that soil phosphorous (P) and manganese (Mn) are good predictors of the total soil Pb content. No robust model was obtained for the PAHs, impeding identifying environmental factors most likely to influence their dispersion in the urban soils. The solid-phase distribution study provided critical information to untangle the, at a first glance, contradictory results obtained by the multivariate analysis. Carbonates and other calcium phases, having these a probable anthropogenic origin, are soil components containing major fractions of Pb, P, and Mn.","url":"https://pubmed.ncbi.nlm.nih.gov/27570200/","authors":["Marinho Reis AP","Shepherd T","Nowell G","Cachada A","Duarte AC","Cave M","Wragg J","Patinha C","Dias A","Rocha F","da Silva EF","Sousa AJ","Prazeres C","Batista MJ"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2016 Dec 15","doi":"10.1016/j.scitotenv.2016.08.119","addedAt":"2026-08-31T06:39:47.154Z","updatedAt":"2026-08-31T06:39:47.154Z"},{"id":"pmid:27526048","name":"Increasing Intelligence in Inter-Vehicle Communications to Reduce Traffic Congestions: Experiments in Urban and Highway Environments.","source":"pubmed","abstract":"Intelligent Transportation Systems (ITS) rely on Inter-Vehicle Communication (IVC) to streamline the operation of vehicles by managing vehicle traffic, assisting drivers with safety and sharing information, as well as providing appropriate services for passengers. Traffic congestion is an urban mobility problem, which causes stress to drivers and economic losses. In this context, this work proposes a solution for the detection, dissemination and control of congested roads based on inter-vehicle communication, called INCIDEnT. The main goal of the proposed solution is to reduce the average trip time, CO emissions and fuel consumption by allowing motorists to avoid congested roads. The simulation results show that our proposed solution leads to short delays and a low overhead. Moreover, it is efficient with regard to the coverage of the event and the distance to which the information can be propagated. The findings of the investigation show that the proposed solution leads to (i) high hit rate in the classification of the level of congestion, (ii) a reduction in average trip time, (iii) a reduction in fuel consumption, and (iv) reduced CO emissions.","url":"https://pubmed.ncbi.nlm.nih.gov/27526048/","authors":["Meneguette RI","Filho GP","Guidoni DL","Pessin G","Villas LA","Ueyama J"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2016","doi":"10.1371/journal.pone.0159110","addedAt":"2026-08-31T06:39:47.154Z","updatedAt":"2026-08-31T06:39:47.154Z"},{"id":"pmid:27409075","name":"Proceedings of the 3rd IPLeiria's International Health Congress : Leiria, Portugal. 6-7 May 2016.","source":"pubmed","abstract":"S1 Health literacy and health education in adolescence Catarina Cardoso Tom&#xe1;s S2 The effect of a walking program on the quality of life and well-being of people with schizophrenia Emanuel Oliveira, D. Sousa, M. Uba-Chupel, G. Furtado, C. Rocha, A. Teixeira, P. Ferreira S3 Diagnosis and innovative treatments - the way to a better medical practice Celeste Alves S4 Simulation-based learning and how it is a high contribution Stefan Gisin S5 Formative research about acceptability, utilization and promotion of a home fortification programme with micronutrient powders (MNP) in the Autonomous Region of Pr&#xed;ncipe, S&#xe3;o Tom&#xe9; and Pr&#xed;ncipe Elisabete Catarino, Nelma Carvalho, Tiago Coucelo, Lu&#xed;s Bonfim, Carina Silva S6 Safety culture of the patient: a reflexion about the therapeutic approach on the patient with vocal pathology D&#xe9;bora Franco S7 About wine, fortune cookies and patient experience Jes&#xfa;s Alcoba Gonz&#xe1;lez O1 The psychological impact on the emergency crews after the disaster event on February 20, 2010 Helena G. Jardim, Rita Silva O2 Musculoskeletal disorders in midwives Cristina L. Baixinho, M&#xaa; Helena Presado, M&#xaa; F&#xe1;tima Marques, M&#xe1;rio E. Cardoso O3 Negative childhood experiences and fears of compassion: Implications for psychological difficulties in adolescence Marina Cunha, Joana Mendes, Ana Xavier, Ana Galhardo, Margarida Couto O4 Optimal age to give the first dose of measles vaccine in Portugal Jo&#xe3;o G. Frade, Carla Nunes, Jo&#xe3;o R. Mesquita, Maria S. Nascimento, Guilherme Gon&#xe7;alves O5 Functional assessment of elderly in primary care Concei&#xe7;&#xe3;o Castro, Alice M&#xe1;rtires, M&#xaa; Jo&#xe3;o Monteiro, Concei&#xe7;&#xe3;o Rainho O6 Smoking and coronary events in a population of Spanish health-care centre: An observational study Francisco P. Caballero, Fatima M. Monago, Jose T. Guerrero, Rocio M. Monago, Africa P. Trigo, Milagros L. Gutierrez, Gemma M. Milan&#xe9;s, Mercedes G. Reina, Ana G. Villanueva, Ana S. Pi&#xf1;ero, Isabel R. Aliseda, Francisco B. Ramirez O7 Prevalence of musculoskeletal injuries in Portuguese musicians Andrea Ribeiro, Ana Quelhas, Concei&#xe7;&#xe3;o Manso O8 Hip fractures, psychotropic drug consumption and comorbidity in patients of a primary care practice in Spain Francisco P. Caballero, Jose T. Guerrero, Fatima M. Monago, Rafael B. Santos, Nuria R. Jimenez, Cristina G. Nu&#xf1;ez, Inmaculada R. Gomez, M&#xaa; Jose L. Fernandez, Laura A. Marquez, Ana L. Moreno, M&#xaa; Jesus Tena Huertas, Francisco B. Ramirez O9 The role of self-criticism and shame in social anxiety in a clinical SAD sample Daniel Seabra, M&#xaa; C&#xe9;u Salvador O10 Obstruction and infiltration: a proposal of a quality indicator Luciene Braga, Pedro Parreira, Anabela Salgueiro-Oliveira, Cristina Arreguy-Sena, Bibiana F. Oliveira, M&#xaa; Adriana Henriques O11 Balance and anxiety and depression symptoms in old age people Joana Santos, Sara Lebre, Alda Marques O12 Prevalence of postural changes and risk factors in school children and adolescents in a northern region (Porto) Clarinda Festas, Sandra Rodrigues, Andrea Ribeiro, Jos&#xe9; Lumini O13 Ischemic stroke vs. haemorrhagic stroke survival rate Ana G. Figueiredo O14 Chronobiological factors as responsible for the appearance of locomotor pathology in adolescents Francisco J. Hernandez-Martinez, Liliana Campi, M&#xaa; Pino Quintana-Montesdeoca, Juan F. Jimenez-Diaz, Bienvenida C. Rodriguez-De-Vera O15 Risk of malnutrition in the elderly of Bragan&#xe7;a Alexandra Parente, M&#xaa; Augusta Mata, Ana M&#xaa; Pereira, Ad&#xed;lia Fernandes, Manuel Br&#xe1;s O16 A Lifestyle Educational Programme for primary care diabetic patients: the design of a complex nursing intervention M&#xaa; Ros&#xe1;rio Pinto, Pedro Parreira, Marta L. Basto, Ana C. Rei, Lisete M. M&#xf3;nico O17 Medication adherence in elderly people Gilberta Sousa, Clementina Morna, Ot&#xed;lia Freitas, Greg&#xf3;rio Freitas, Ana Jardim, Rita Vascon","url":"https://pubmed.ncbi.nlm.nih.gov/27409075/","authors":["Tomás CC","Oliveira E","Sousa D","Uba-Chupel M","Furtado G","Rocha C","Teixeira A","Ferreira P","Alves C","Gisin S","Catarino E","Carvalho N","Coucelo T","Bonfim L","Silva C","Franco D","González JA","Jardim HG","Silva R","Baixinho CL","Presado MªH","Marques MªF","Cardoso ME","Cunha M","Mendes J","Xavier A","Galhardo A","Couto M","Frade JG","Nunes C","Mesquita JR","Nascimento MS","Gonçalves G","Castro C","Mártires A","Monteiro MªJ","Rainho C","Caballero FP","Monago FM","Guerrero JT","Monago RM","Trigo AP","Gutierrez ML","Milanés GM","Reina MG","Villanueva AG","Piñero AS","Aliseda IR","Ramirez FB","Ribeiro A","Quelhas A","Manso C","Caballero FP","Guerrero JT","Monago FM","Santos RB","Jimenez NR","Nuñez CG","Gomez IR","Fernandez MªJL","Marquez LA","Moreno AL","Huertas MªJT","Ramirez FB","Seabra D","Salvador MªC","Braga L","Parreira P","Salgueiro-Oliveira A","Arreguy-Sena C","Oliveira BF","Henriques MªA","Santos J","Lebre S","Marques A","Festas C","Rodrigues S","Ribeiro A","Lumini J","Figueiredo AG","Hernandez-Martinez FJ","Campi L","Quintana-Montesdeoca MªP","Jimenez-Diaz JF","Rodriguez-De-Vera BC","Parente A","Mata MªA","Pereira AMª","Fernandes A","Brás M","Pinto MªR","Parreira P","Basto ML","Rei AC","Mónico LM","Sousa G","Morna C","Freitas O","Freitas G","Jardim A","Vasconcelos R","Horta LG","Rosa RS","Kranz LF","Nugem RC","Siqueira MS","Bordin R","Kniess R","Lacerda JT","Guedes J","Machado I","Almeida S","Zilhão A","Alves H","Ribeiro Ó","Amaral AP","Santos A","Monteiro J","Rocha MªC","Cruz R","Amaral AP","Lourenço M","Rocha MªC","Cruz R","Antunes S","Mendonça V","Andrade I","Osório N","Valado A","Caseiro A","Gabriel A","Martins AC","Mendes F","Cabral L","Ferreira M","Gonçalves A","Luz TD","Luz L","Martins R","Morgado A","Vale-Dias ML","Porta-Nova R","Fleig TC","Reuter ÉM","Froemming MB","Guerreiro SL","Carvalho LL","Guedelha D","Coelho P","Pereira A","Calha A","Cordeiro R","Gonçalves A","Certo A","Galvão A","Mata MªA","Welter A","Pereira E","Ribeiro S","Kretzer M","Jiménez-Díaz JF","Jiménez-Rodríguez C","Hernández-Martínez FJ","Rodríguez-De-Vera BDC","Marques-Rodrigues A","Coelho P","Bernardes T","Pereira A","Sousa P","Filho JG","Nazario N","Kretzer M","Amaral O","Garrido A","Veiga N","Nunes C","Pedro AR","Pereira C","Almeia A","Fernandes HM","Vasconcelos C","Sousa N","Reis VM","Monteiro MJ","Mendes R","Pinto IC","Pires T","Gama J","Preto V","Silva N","Magalhães C","Martins M","Duarte M","Paúl C","Martín I","Pinheiro AA","Xavier S","Azevedo J","Bento E","Marques C","Marques M","Macedo A","Pereira AT","Almeida JP","Almeida A","Alves J","Sousa N","Saavedra F","Mendes R","Maia AS","Oliveira MT","Sousa AR","Ferreira PP","Lopes LS","Santiago EC","Monteiro S","Jesus Â","Colaço A","Carvalho A","Silva RP","Cruz A","Ferreira A","Marques C","Figueiredo JP","Paixão S","Ferreira A","Lopes C","Moreira F","Figueiredo JP","Ferreira A","Ribeiro D","Moreira F","Figueiredo JP","Paixão S","Fernandes T","Amado D","Leal J","Azevedo M","Ramalho S","Mangas C","Ribeiro J","Gonçalves R","Nunes AF","Tuna AR","Martins CR","Forte HD","Costa C","Tenedório JA","Santana P","Andrade JA","Pinto JL","Campofiorito C","Nunes S","Carmo A","Kaliniczenco A","Alves B","Mendes F","Jesus C","Fonseca F","Gehrke F","Albuquerque C","Batista R","Cunha M","Madureira A","Ribeiro O","Martins R","Madeira T","Peixoto-Plácido C","Santos N","Santos O","Bergland A","Bye A","Lopes C","Alarcão V","Goulão B","Mendonça N","Nicola P","Clara JG","Gomes J","Querido A","Tomás C","Carvalho D","Cordeiro M","Rosa MC","Marques A","Brandão D","Ribeiro Ó","Araújo L","Paúl C","Minghelli B","Richaud S","Mendes AL","Marta-Simões J","Trindade IA","Ferreira C","Carvalho T","Cunha M","Pinto-Gouveia J","Fernandes MC","Rosa RS","Nugem RC","Kranz LF","Siqueira MS","Bordin R","Martins AC","Medeiros A","Pimentel R","Fernandes A","Mendonça C","Andrade I","Andrade S","Menezes RL","Bravo R","Miranda M","Ugartemendia L","Tena JMª","Pérez-Caballero FL","Fuentes-Broto L","Rodríguez AB","Carmen B","Carneiro MA","Domingues JN","Paixão S","Figueiredo J","Nascimento VB","Jesus C","Mendes F","Gehrke F","Alves B","Azzalis L","Fonseca F","Martins AR","Nunes A","Jorge A","Veiga N","Amorim A","Silva A","Martinho L","Monteiro L","Silva R","Coelho C","Amaral O","Coelho I","Pereira C","Correia A","Rodrigues D","Marante N","Silva P","Carvalho S","Araujo AR","Ribeiro M","Coutinho P","Ventura S","Roque F","Calvo C","Reses M","Conde J","Ferreira A","Figueiredo J","Silva D","Seiça L","Soares R","Mourão R","Kraus T","Abreu AC","Padilha JM","Alves JM","Sousa P","Oliveira M","Sousa J","Novais S","Mendes F","Pinto J","Cruz J","Marques A","Duarte H","Dixe MDA","Sousa P","Cruz I","Bastos F","Pereira F","Carvalho FL","Oliveira TT","Raposo VR","Rainho C","Ribeiro JC","Barroso I","Rodrigues V","Neves C","Oliveira TC","Oliveira B","Morais MªC","Baylina P","Rodrigues R","Azeredo Z","Vicente C","Dias H","Sim-Sim M","Parreira P","Salgueiro-Oliveira A","Castilho A","Melo R","Graveto J","Gomes J","Vaquinhas M","Carvalho C","Mónico L","Brito N","Sarroeira C","Amendoeira J","Cunha F","Cândido A","Fernandes P","Silva HR","Silva E","Barroso I","Lapa L","Antunes C","Gonçalves A","Galvão A","Gomes MªJ","Escanciano SR","Freitas M","Parreira P","Marôco J","Fernandes AR","Cabral C","Alves S","Sousa P","Ferreira A","Príncipe F","Seppänen UM","Ferreira M","Carvalhais M","Silva M","Ferreira M","Silva J","Neves J","Costa D","Santos B","Duarte S","Marques S","Ramalho S","Mendes I","Louro C","Menino E","Dixe M","Dias SS","Cordeiro M","Tomás C","Querido A","Carvalho D","Gomes J","Valim FC","Costa JO","Bernardes LG","Prebianchi H","Rosa MC","Gonçalves N","Martins MM","Kurcgant P","Vieira A","Bento S","Deodato S","Rabiais I","Reis L","Torres A","Soares S","Ferreira M","Graça P","Leitão C","Abreu R","Bellém F","Almeida A","Ribeiro-Varandas E","Tavares A","Frade JG","Henriques C","Menino E","Louro C","Jordão C","Neco S","Morais C","Ferreira P","Silva CR","Brito A","Silva A","Duarte H","Dixe MDA","Sousa P","Postolache G","Oliveira R","Moreira I","Pedro L","Vicente S","Domingos S","Postolache O","Silva D","Filho JG","Nazario N","Kretzer M","Schneider D","Marques FM","Parreira P","Carvalho C","Mónico LM","Pinto C","Vicente S","Breda SJ","Gomes JH","Melo R","Parreira P","Salgueiro A","Graveto J","Vaquinhas M","Castilho A","Jesus Â","Duarte N","Lopes JC","Nunes H","Cruz A","Salgueiro-Oliveira A","Parreira P","Basto ML","Braga LM","Ferreira A","Araújo B","Alves JM","Ferreira M","Carvalhais M","Silva M","Novais S","Sousa AS","Ferrito C","Ferreira PL","Rodrigues A","Ferreira M","Oliveira I","Ferreira M","Neves J","Costa D","Duarte S","Silva J","Santos B","Martins C","Macedo AP","Araújo O","Augusto C","Braga F","Gomes L","Silva MA","Rosário R","Pimenta L","Carreira D","Teles P","Barros T","Tomás C","Querido A","Carvalho D","Gomes J","Cordeiro M","Carvalho D","Querido A","Tomás C","Gomes J","Cordeiro M","Jácome C","Marques A","Capelas S","Hall A","Alves D","Lousada M","Loureiro MªH","Camarneiro A","Silva M","Mendes A","Pedreiro A","G.Silva A","Coelho ES","Melo F","Ribeiro F","Torres R","Costa R","Pinho T","Jácome C","Marques A","Cruz B","Seabra D","Carreiras D","Ventura M","Cruz X","Brooks D","Marques A","Pinto MR","Parreira P","Lima-Basto M","Neves M","Mónico LM","Bizarro C","Cunha M","Galhardo A","Margarida C","Amorim AP","Silva E","Cruz S","Padilha JM","Valente J","Guerrero JT","Caballero FP","Santos RB","Gonzalez EP","Monago FM","Ugalde LU","Vélez MM","Tena MJ","Guerrero JT","Bravo R","Pérez-Caballero FL","Becerra IA","Agudelo MªE","Acedo G","Bajo R","Malheiro I","Gaspar F","Barros L","Furtado G","Uba-Chupel M","Marques M","Rama L","Braga M","Ferreira JP","Teixeira AMª","Cruz J","Barbosa T","Simões Â","Coelho L","Rodrigues A","Jiménez-Díaz JF","Martinez-Hernandez F","Rodriguez-De-Vera B","Ferreira P","Rodrigues A","Ramalho A","Petrica J","Mendes P","Serrano J","Santo I","Rosado A","Mendonça P","Freitas K","Ferreira D","Brito A","Fernandes R","Gomes S","Moreira F","Pinho C","Oliveira R","Oliveira AI","Mendonça P","Casimiro AP","Martins P","Silva I","Evangelista D","Leitão C","Velosa F","Carecho N","Coelho L","Menino E","Dixe A","Catarino H","Soares F","Gama E","Gordo C","Moreira E","Midões C","Santos M","Machado S","Oliveira VP","Santos M","Querido A","Dixe A","Marques R","Charepe Z","Antunes A","Santos S","Rosa MC","Rosa MC","Marques SF","Minghelli B","CaroMinghelli E","Luís MªJ","Brandão T","Mendes P","Marinho D","Petrica J","Monteiro D","Paulo R","Serrano J","Santo I","Monteiro L","Ramalho F","Santos-Rocha R","Morgado S","Bento T","Sousa G","Freitas O","Silva I","Freitas G","Morna C","Vasconcelos R","Azevedo T","Soares S","Pisco J","Ferreira PP","Olszewer EO","Oliveira MT","Sousa AR","Maia AS","Oliveira ST","Santos E","Oliveira AI","Maia C","Moreira F","Santos J","Mendes MF","Oliveira RF","Pinho C","Barreira E","Pereira A","Vaz JA","Novo A","Silva LD","Maia B","Ferreira E","Pires F","Andrade R","Camarinha L","Silva LD","Maia B","Ferreira E","Pires F","Andrade R","Camarinha L","César AF","Poço M","Ventura D","Loura R","Gomes P","Gomes C","Silva C","Melo E","Lindo J","Domingos J","Mendes Z","Poeta S","Carvalho T","Tomás C","Catarino H","Dixe MªA","Ramalho A","Rosado A","Mendes P","Paulo R","Garcia I","Petrica J","Rodrigues S","Meneses R","Afonso C","Faria L","Seixas A","Cordeiro M","Granjo P","Gomes JC","Souza NR","Furtado GE","Rocha SV","Silva P","Carvalho J","Morais MA","Santos S","Lebre P","Antunes A","Calha A","Xavier A","Cunha M","Pinto-Gouveia J","Alencar L","Cunha M","Madureira A","Cardoso I","Galhardo A","Daniel F","Rodrigues V","Luz L","Luz T","Ramos MR","Medeiros DC","Carmo BM","Seabra A","Padez C","Silva MC","Rodrigues A","Coelho P","Coelho A","Caminha M","Matheus F","Mendes E","Correia J","Kretzer 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R","Azeredo Z","Vicente C","Vardasca R","Marques AR","Seixas A","Carvalho R","Gabriel J","Ferreira PP","Oliveira MT","Sousa AR","Maia AS","Oliveira ST","Costa PO","Silva MM","Arreguy-Sena C","Alvarenga-Martins N","Pinto PF","Oliveira DC","Parreira PD","Gomes AT","Braga LM","Araújo O","Lage I","Cabrita J","Teixeira L","Marques R","Dixe MªA","Querido A","Sousa P","Silva S","Cordeiro E","Pimentel J","Ferro-Lebres V","Souza JA","Tavares M","Dixe MªA","Sousa P","Passadouro R","Peralta T","Ferreira C","Lourenço G","Serrano J","Petrica J","Paulo R","Honório S","Mendes P","Simões A","Carvalho L","Pereira A","Silva S","Sousa P","Padilha JM","Figueiredo D","Valente C","Marques A","Ribas P","Sousa J","Brandão F","Sousa C","Martins M","Sousa P","Marques R","Mendes F","Fernandes R","Martins E","Magalhães C","Araújo P","Grande C","Mata MªA","Vieitez JG","Bianchini B","Nazario N","Filho JG","Kretzer M","Costa T","Almeida A","Baffour G","Almeida A","Costa T","Baffour G","Azeredo Z","Laranjeira C","Guerra M","Barbeiro AP","Ferreira R","Lopes S","Nunes L","Mendes A","Martins J","Schneider D","Kretzer M","Magajewski F","Soares C","Marques A","Batista M","Castuera RJ","Mesquita H","Faustino A","Santos J","Honório S","Vizzotto BP","Frigo L","Pivetta HF","Sardo D","Martins C","Abreu W","Figueiredo MªC","Batista M","Jimenez-Castuera R","Petrica J","Serrano J","Honório S","Paulo R","Mendes P","Sousa P","Marques R","Faustino A","Silveira P","Serrano J","Paulo R","Mendes P","Honório S","Oliveira C","Bastos F","Cruz I","Rodriguez CK","Kretzer MR","Nazário NO","Cruz P","Vaz DC","Ruben RB","Avelelas F","Silva S","Campos MªJ","Almeida M","Gonçalves L","Antunes L","Sardo P","Guedes J","Simões J","Machado P","Melo E","Cardoso S","Santos O","Nunes C","Loureiro I","Santos F","Alves G","Soar C","Marsi TO","Silva E","Pedrosa D","Leça A","Silva D","Galvão A","Gomes M","Fernandes P","Noné A","Combadão J","Ramalhete C","Figueiredo P","Caeiro P","Fontana KC","Lacerda JT","Machado PO","Borges R","Barbosa F","Sá D","Brunhoso G","Aparício G","Carvalho A","Garcia AP","Fernandes PO","Santos A","Veiga N","Brás C","Carvalho I","Batalha J","Glória M","Bexiga F","Coelho I","Amaral O","Pereira C","Pinho C","Paraíso N","Oliveira AI","Lima CF","Dias AP","Silva P","Espada M","Marques M","Pereira A","Pereira AMª","Veiga-Branco Mª","Pereira F","Ribeiro M","Lima V","Oliveira AI","Pinho C","Cruz G","Oliveira RF","Barreiros L","Moreira F","Camarneiro A","Loureiro MªH","Silva M","Duarte C","Jesus Â","Cruz A","Mota M","Novais S","Nogueira P","Pereira A","Carneiro L","João PV","Lima TM","Salgueiro-Oliveira A","Vaquinhas M","Parreira P","Melo R","Graveto J","Castilho A","Gomes JH","Medina MS","Blanco VG","Santos O","Lopes E","Virgolino A","Dinis A","Ambrósio S","Almeida I","Marques T","Heitor MªJ","Garcia-Gordillo MA","Collado-Mateo D","Olivares PR","Parraça JA","Sala JA","Castilho A","Graveto J","Parreira P","Oliveira A","Gomes JH","Melo R","Vaquinhas M","Cheio M","Cruz A","Pereira OR","Pinto S","Oliveira A","Manso MC","Sousa C","Vinha AF","Machado MªM","Vieira M","Fernandes B","Tomás T","Quirino D","Desouzart G","Matos R","Bordini M","Mouroço P","Matos AR","Serapioni M","Guimarães T","Fonseca V","Costa A","Ribeiro J","Lobato J","Martin IZ","Björklund A","Tavares AI","Ferreira P","Passadouro R","Morgado S","Tavares N","Valente J","Martins AC","Araújo P","Fernandes R","Mendes F","Magalhães C","Martins E","Mendes P","Paulo R","Faustino A","Mesquita H","Honório S","Batista M","Lacerda JT","Ortiga AB","Calvo MªC","Natal S","Pereira M","Ferreira M","Prata AR","Nelas P","Duarte J","Carneiro J","Oliveira AI","Pinho C","Couto C","Oliveira RF","Moreira F","Maia AS","Oliveira MT","Sousa AR","Ferreira PP","Souza GM","Almada LF","Conceição MA","Santiago EC","Rodrigues S","Domingues G","Ferreira I","Faria L","Seixas A","Costa AR","Jesus Â","Cardoso A","Meireles A","Colaço A","Cruz A","Vieira VL","Vincha KR","Cervato-Mancuso AMª","Faria M","Reis C","Cova MP","Ascenso RT","Almeida HA","Oliveira EG","Santana M","Pereira R","Oliveira EG","Almeida HA","Ascenso RT","Jesus R","Tapadas R","Tim-Tim C","Cezanne C","Lagoa M","Dias SS","Torgal J","Lopes J","Almeida H","Amado S","Carrão L","Cunha M","Saboga-Nunes L","Albuquerque C","Ribeiro O","Oliveira S","Morais MªC","Martins E","Mendes F","Fernandes R","Magalhães C","Araújo P","Pedro AR","Amaral O","Escoval A","Assunção V","Luís H","Luís L","Apolinário-Hagen J","Vehreschild V","Fotschl U","Lirk G","Martins AC","Andrade I","Mendes F","Mendonça V","Antunes S","Andrade I","Osório N","Valado A","Caseiro A","Gabriel A","Martins AC","Mendes F","Silva PA","Mónico LM","Parreira PM","Carvalho C","Carvalho C","Parreira PM","Mónico LM","Ruivo J","Silva V","Sousa P","Padilha JM","Ferraz V","Aparício G","Duarte J","Vasconcelos C","Almeida A","Neves J","Correia T","Amorim H","Mendes R","Saboga-Nunes L","Cunha M","Albuquerque C","Pereira ES","Santos LS","Reis AS","Silva HR","Rombo J","Fernandes JC","Fernandes P","Ribeiro J","Mangas C","Freire A","Silva S","Francisco I","Oliveira A","Catarino H","Dixe MªA","Louro MªC","Lopes S","Dixe A","Dixe MªA","Menino E","Catarino H","Soares F","Oliveira AP","Gordo S","Kraus T","Tomás C","Queirós P","Rodrigues T","Sousa P","Frade JG","Lobão C","Moura CB","Dreyer LC","Meneghetti V","Cabral PP","Pinto F","Sousa P","Esteves MªR","Galvão S","Tytgat I","Andrade I","Osório N","Valado A","Caseiro A","Gabriel A","Martins AC","Mendes F","Casas-Novas M","Bernardo H","Andrade I","Sousa G","Sousa AP","Rocha C","Belo P","Osório N","Valado A","Caseiro A","Gabriel A","Martins AC","Mendes F","Martins F","Pulido-Fuentes M","Barroso I","Cabral G","Monteiro MJ","Rainho C","Prado A","Carvalho YM","Campos M","Moreira L","Ferreira J","Teixeira A","Rama L","Campos M","Moreira L","Ferreira J","Teixeira A","Rama L"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2016 Jul 6","doi":"10.1186/s12913-016-1423-5","addedAt":"2026-08-31T06:39:47.154Z","updatedAt":"2026-08-31T06:39:47.154Z"},{"id":"pmid:27338189","name":"Exposure to ultrafine particles and respiratory hospitalisations in five European cities.","source":"pubmed","abstract":"Epidemiological evidence on the associations between exposure to ultrafine particles (UFP), with aerodynamic electrical mobility diameters &lt;100&#x2005;nm, and health is limited. We gathered data on UFP from five European cities within 2001-2011 to investigate associations between short-term changes in concentrations and respiratory hospitalisations.We applied city-specific Poisson regression models and combined city-specific estimates to obtain pooled estimates. We evaluated the sensitivity of our findings to co-pollutant adjustment and investigated effect modification patterns by period of the year, age at admission and specific diagnoses.Our results for the whole time period do not support an association between UFP and respiratory hospitalisations, although we found suggestive associations among those 0-14&#x2005;years old. We nevertheless report consistent adverse effect estimates during the warm period of the year, statistically significant after lag 2 when an increase by 10&#x200a;000 particles per cm(3) was associated with a 4.27% (95% CI 1.68-6.92%) increase in hospitalisations. These effect estimates were robust to particles' mass or gaseous pollutants adjustment.Considering that our findings during the warm period may reflect better exposure assessment and that the main source of non-soluble UFP in urban areas is traffic, our results call for improved regulation of traffic emissions.","url":"https://pubmed.ncbi.nlm.nih.gov/27338189/","authors":["Samoli E","Andersen ZJ","Katsouyanni K","Hennig F","Kuhlbusch TA","Bellander T","Cattani G","Cyrys J","Forastiere F","Jacquemin B","Kulmala M","Lanki T","Loft S","Massling A","Tobias A","Stafoggia M","UF&HEALTH Study group"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2016 Sep","doi":"10.1183/13993003.02108-2015","addedAt":"2026-08-31T06:39:47.154Z","updatedAt":"2026-08-31T06:39:47.154Z"},{"id":"pmid:27276440","name":"Car free cities: Pathway to healthy urban living.","source":"pubmed","abstract":"Many cities across the world are beginning to shift their mobility solution away from the private cars and towards more environmentally friendly and citizen-focused means. Hamburg, Oslo, Helsinki, and Madrid have recently announced their plans to become (partly) private car free cities. Other cities like Paris, Milan, Chengdu, Masdar, Dublin, Brussels, Copenhagen, Bogota, and Hyderabad have measures that aim at reducing motorized traffic including implementing car free days, investing in cycling infrastructure and pedestrianization, restricting parking spaces and considerable increases in public transport provision. Such plans and measures are particularly implemented with the declared aim of reducing greenhouse gas emissions. These reductions are also likely to benefit public health.","url":"https://pubmed.ncbi.nlm.nih.gov/27276440/","authors":["Nieuwenhuijsen MJ","Khreis H"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2016 Sep","doi":"10.1016/j.envint.2016.05.032","addedAt":"2026-08-31T06:39:47.154Z","updatedAt":"2026-08-31T06:39:47.154Z"},{"id":"pmid:27146536","name":"Dynamic of submicrometer particles in urban environment.","source":"pubmed","abstract":"Many studies show that particle toxicity increases with decreasing their size, emphasizing the role of submicrometric particles, in particular of ultrafine particles (&lt;100&#xa0;nm). In fact, particles greater than 2.5&#xa0;&#x3bc;m are quickly removed through dry and wet deposition on the timescale of hours whereas submicrometer particles may reside in atmosphere for weeks, penetrate in indoor environment, and be long-range transported. High aerosol size resolution measurements are important for a correct assessment of the deposition efficiency in the human respiratory system, and time resolution is another important requisite. Starting from such considerations, time-resolved aerosol particle number size distributions have been measured in downtown Rome. Fast Mobility Particle Sizer (FMPS) and Scanning Mobility Particle Sizer (SMPS) measurements have been carried out at the INAIL's Pilot Station, located in downtown Rome, in an area characterized by high density of autovehicular traffic. The two instruments have allowed to investigate deeply the urban aerosol in the range of 5.6-560 and 3.5-117&#xa0;nm, respectively. In particular, the FMPS measurements have confirmed the interpretation about the transition phenomena in the time interval of few seconds, timescale typically associated with the emission of gasoline and diesel engines. In downtown Rome, the hourly average size distribution is bimodal or trimodal with maxima at about 5-15, 20-30, and 70-100&#xa0;nm. Particle formation in the nucleation mode was associated to freshly emitted autovehicular exhaust.","url":"https://pubmed.ncbi.nlm.nih.gov/27146536/","authors":["Avino P","Manigrasso M"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2017 Jun","doi":"10.1007/s11356-016-6752-8","addedAt":"2026-08-31T06:39:47.154Z","updatedAt":"2026-08-31T06:39:47.154Z"},{"id":"pmid:26960529","name":"Urban and transport planning, environmental exposures and health-new concepts, methods and tools to improve health in cities.","source":"pubmed","abstract":"The majority of people live in cities and urbanization is continuing worldwide. Cities have long been known to be society's predominant engine of innovation and wealth creation, yet they are also a main source of pollution and disease.","url":"https://pubmed.ncbi.nlm.nih.gov/26960529/","authors":["Nieuwenhuijsen MJ"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2016 Mar 8","doi":"10.1186/s12940-016-0108-1","addedAt":"2026-08-31T06:39:47.154Z","updatedAt":"2026-08-31T06:39:47.154Z"},{"id":"pmid:26827876","name":"Preterm birth and its associations with residence and ambient vehicular traffic exposure.","source":"pubmed","abstract":"Preterm birth (PTB) is a multifactorial disorder, and air pollution has been suggested to increase the risk of occurrence. However, large population studies controlling for multiple exposure measures in high-density settings with established commuter patterns are lacking.","url":"https://pubmed.ncbi.nlm.nih.gov/26827876/","authors":["Kahr MK","Suter MA","Ballas J","Ramphul R","Lubertino G","Hamilton WJ","Aagaard KM"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2016 Jul","doi":"10.1016/j.ajog.2016.01.171","addedAt":"2026-08-31T06:39:47.154Z","updatedAt":"2026-08-31T06:39:47.154Z"},{"id":"pmid:26815293","name":"An index for estimating the potential metal pollution contribution to atmospheric particulate matter from road dust in Beijing.","source":"pubmed","abstract":"The resuspension of road dust from street surfaces could be a big contributor to atmospheric particulate pollution in the rapid urbanization context in the world. However, to date what its potential contribution to the spatial pattern is little known. Here we developed an innovative index model called the road dust index (RI&lt;105&#x3bc;m) and it combines source and transport factors for road dust particles &lt;105&#x3bc;m in diameter. It could quantify and differentiate the impact of the spatial distribution of the potential risks posed by metals associated with road dust on atmospheric suspended particles. The factors were ranked and weighted based on road dust characteristics (the amounts, grain sizes, and mobilities of the road dust, and the concentrations and toxicities of metals in the road dust). We then applied the RI&lt;105&#x3bc;m in the Beijing region to assess the spatial distribution of the potential risks posed by metals associated with road dust on atmospheric suspended particles. The results demonstrated that the road dust in urban areas has higher potential risk of metal to atmospheric particles than that in rural areas. The RI&lt;105&#x3bc;m method offers a new and useful tool for assessing the potential risks posed by metals associated with road dust on atmospheric suspended particles and for controlling atmospheric particulate pollution caused by road dust emissions.","url":"https://pubmed.ncbi.nlm.nih.gov/26815293/","authors":["Zhao H","Shao Y","Yin C","Jiang Y","Li X"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2016 Apr 15","doi":"10.1016/j.scitotenv.2016.01.110","addedAt":"2026-08-31T06:39:47.154Z","updatedAt":"2026-08-31T06:39:47.154Z"},{"id":"pmid:26760711","name":"Transport And Health: A Marriage Of Convenience Or An Absolute Necessity.","source":"pubmed","abstract":"The recent diesel scandal has again highlighted the impact that the transport sector can have on public health.","url":"https://pubmed.ncbi.nlm.nih.gov/26760711/","authors":["Nieuwenhuijsen MJ","Khreis H","Verlinghieri E","Rojas-Rueda D"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2016 Mar","doi":"10.1016/j.envint.2015.12.030","addedAt":"2026-08-31T06:39:47.154Z","updatedAt":"2026-08-31T06:39:47.154Z"},{"id":"pmid:26743706","name":"Physical Activity through Sustainable Transport Approaches (PASTA): a study protocol for a multicentre project.","source":"pubmed","abstract":"Only one-third of the European population meets the minimum recommended levels of physical activity (PA). Physical inactivity is a major risk factor for non-communicable diseases. Walking and cycling for transport (active mobility, AM) are well suited to provide regular PA. The European research project Physical Activity through Sustainable Transport Approaches (PASTA) pursues the following aims: (1) to investigate correlates and interrelations of AM, PA, air pollution and crash risk; (2) to evaluate the effectiveness of selected interventions to promote AM; (3) to improve health impact assessment (HIA) of AM; (4) to foster the exchange between the disciplines of public health and transport planning, and between research and practice.","url":"https://pubmed.ncbi.nlm.nih.gov/26743706/","authors":["Gerike R","de Nazelle A","Nieuwenhuijsen M","Panis LI","Anaya E","Avila-Palencia I","Boschetti F","Brand C","Cole-Hunter T","Dons E","Eriksson U","Gaupp-Berghausen M","Kahlmeier S","Laeremans M","Mueller N","Orjuela JP","Racioppi F","Raser E","Rojas-Rueda D","Schweizer C","Standaert A","Uhlmann T","Wegener S","Götschi T","PASTA Consortium"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2016 Jan 7","doi":"10.1136/bmjopen-2015-009924","addedAt":"2026-08-31T06:39:47.154Z","updatedAt":"2026-08-31T06:39:47.154Z"},{"id":"pmid:26656106","name":"Local Optimization Strategies in Urban Vehicular Mobility.","source":"pubmed","abstract":"The comprehension of vehicular traffic in urban environments is crucial to achieve a good management of the complex processes arising from people collective motion. Even allowing for the great complexity of human beings, human behavior turns out to be subject to strong constraints--physical, environmental, social, economic--that induce the emergence of common patterns. The observation and understanding of those patterns is key to setup effective strategies to optimize the quality of life in cities while not frustrating the natural need for mobility. In this paper we focus on vehicular mobility with the aim to reveal the underlying patterns and uncover the human strategies determining them. To this end we analyze a large dataset of GPS vehicles tracks collected in the Rome (Italy) district during a month. We demonstrate the existence of a local optimization of travel times that vehicle drivers perform while choosing their journey. This finding is mirrored by two additional important facts, i.e., the observation that the average vehicle velocity increases by increasing the travel length and the emergence of a universal scaling law for the distribution of travel times at fixed traveled length. A simple modeling scheme confirms this scenario opening the way to further predictions.","url":"https://pubmed.ncbi.nlm.nih.gov/26656106/","authors":["Mastroianni P","Monechi B","Liberto C","Valenti G","Servedio VD","Loreto V"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2015","doi":"10.1371/journal.pone.0143799","addedAt":"2026-08-31T06:39:47.154Z","updatedAt":"2026-08-31T06:39:47.154Z"},{"id":"pmid:26577129","name":"Physical Activity through Sustainable Transport Approaches (PASTA): protocol for a multi-centre, longitudinal study.","source":"pubmed","abstract":"Physical inactivity is one of the leading risk factors for non-communicable diseases, yet many are not sufficiently active. The Physical Activity through Sustainable Transport Approaches (PASTA) study aims to better understand active mobility (walking and cycling for transport solely or in combination with public transport) as an innovative approach to integrate physical activity into individuals' everyday lives. The PASTA study will collect data of multiple cities in a longitudinal cohort design to study correlates of active mobility, its effect on overall physical activity, crash risk and exposure to traffic-related air pollution.","url":"https://pubmed.ncbi.nlm.nih.gov/26577129/","authors":["Dons E","Götschi T","Nieuwenhuijsen M","de Nazelle A","Anaya E","Avila-Palencia I","Brand C","Cole-Hunter T","Gaupp-Berghausen M","Kahlmeier S","Laeremans M","Mueller N","Orjuela JP","Raser E","Rojas-Rueda D","Standaert A","Stigell E","Uhlmann T","Gerike R","Int Panis L"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2015 Nov 14","doi":"10.1186/s12889-015-2453-3","addedAt":"2026-08-31T06:39:47.154Z","updatedAt":"2026-08-31T06:39:47.154Z"},{"id":"pmid:26514572","name":"Traffic aerosol lobar doses deposited in the human respiratory system.","source":"pubmed","abstract":"Aerosol pollution in urban environments has been recognized to be responsible for important pathologies of the cardiovascular and respiratory systems. In this perspective, great attention has been addressed to Ultra Fine Particles (UFPs&#x2009;&lt;&#x2009;100&#xa0;nm), because they efficiently penetrate into the respiratory system and are capable of translocating from the airways into the blood circulation. This paper describes the aerosol regional doses deposited in the human respiratory system in a high-traffic urban area. The aerosol measurements were carried out on a curbside in downtown Rome, on a street characterized by a high density of autovehicular traffic. Aerosol number-size distributions were measured by means of a Fast Mobility Particle Sizer in the range from 5.6 to 560&#xa0;nm with a 1&#xa0;s time resolution. Dosimetry estimates were performed with the Multiple-Path Particle Dosimetry model by means of the stochastic lung model. The exposure scenario close to traffic is represented by a sequence of short-term peak exposures: about 6.6&#x2009;&#xd7;&#x2009;10 10 particles are deposited hourly into the respiratory system. After 1&#xa0;h of exposure in proximity of traffic, 1.29&#x2009;&#xd7;&#x2009;10 10 , 1.88&#x2009;&#xd7;&#x2009;10 10 , and 3.45&#x2009;&#xd7;&#x2009;10 10 particles are deposited in the head, tracheobronchial, and alveolar regions. More than 95&#xa0;% of such doses are represented by UFPs. Finally, according to the greater dose estimated, the right lung lobes are expected to be more susceptible to respiratory pathologies than the left lobes.","url":"https://pubmed.ncbi.nlm.nih.gov/26514572/","authors":["Manigrasso M","Vernale C","Avino P"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2017 Jun","doi":"10.1007/s11356-015-5666-1","addedAt":"2026-08-31T06:39:47.154Z","updatedAt":"2026-08-31T06:39:47.154Z"},{"id":"pmid:26422664","name":"Chemistry of Urban Grime: Inorganic Ion Composition of Grime vs Particles in Leipzig, Germany.","source":"pubmed","abstract":"Deposition of atmospheric constituents--either gas phase or particulate--onto urban impervious surfaces gives rise to a thin \"urban grime\" film. The area exposed by these impervious surfaces in a typical urban environment is comparable to, or greater than, that of particles present in the urban boundary layer; however, it is largely overlooked as a site for heterogeneous reactions. Here we present the results of a field campaign to determine and compare the chemical composition of urban grime and of particles collected simultaneously during the autumn of 2014 at an urban site in central Leipzig, Germany. We see dramatically reduced ammonium and nitrate levels in the film as compared to particles, suggesting a significant loss of ammonium nitrate, thus enhancing the mobility of these species in the environment. Nitrate levels are 10% lower for films exposed to sunlight compared to those that were shielded from direct sun, indicating a possible mechanism for recycling nitrate anion to reactive nitrogen species. Finally, chloride levels in the film suggest that urban grime could represent an unrecognized source of continental chloride available for ClNO2 production even in times of low particulate chloride. Such source and recycling processes could prove to be important to local and regional air quality.","url":"https://pubmed.ncbi.nlm.nih.gov/26422664/","authors":["Baergen AM","Styler SA","van Pinxteren D","Müller K","Herrmann H","Donaldson DJ"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2015 Nov 3","doi":"10.1021/acs.est.5b03054","addedAt":"2026-08-31T06:39:47.154Z","updatedAt":"2026-08-31T06:39:47.154Z"},{"id":"pmid:26402743","name":"Size-Resolved Ultrafine Particle Deposition and Brownian Coagulation from Gasoline Vehicle Exhaust in an Environmental Test Chamber.","source":"pubmed","abstract":"Size-resolved deposition rates and Brownian coagulation of particles between 20 and 900 nm (mobility diameter) were estimated in a well-mixed environmental chamber from a gasoline vehicle exhaust with a total peak particle concentration of 10(5)-10(6) particles/cm(3) at 12.24-25.22 &#xb0;C. A deposition theory with modified friction velocity and coagulation model was also employed to predict particle concentration decay. Initially during particle decay, approximately 85% or more of the particles had diameters of &lt;100 nm. Particle deposition rates with standard deviations were highly dependent on particle size ranges, and varied from 0.012 &#xb1; 0.003 to 0.48 &#xb1; 0.02 h(-1). In the experiment, the friction velocity obtained was in the range 1.5-2.5 cm/s. The most explainable fractal dimension and Hamaker constant in coagulation model were 2.5-3 and 20 kT, respectively, and the contribution from coagulation dominated the total particle decay during the first 1 h of decay. It is considered that the modified friction velocity and best fitted fractal dimension and Hamaker constants could be further used to analyze gasoline vehicle exhaust particle dynamics and assess human exposure to vehicle particle pollutants in urban areas, tunnels, and underground parking lots.","url":"https://pubmed.ncbi.nlm.nih.gov/26402743/","authors":["Zhao Y","Wang F","Zhao J"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2015 Oct 20","doi":"10.1021/acs.est.5b02455","addedAt":"2026-08-31T06:39:47.154Z","updatedAt":"2026-08-31T06:39:47.154Z"},{"id":"pmid:26322517","name":"Increasing Dengue Incidence in Singapore over the Past 40 Years: Population Growth, Climate and Mobility.","source":"pubmed","abstract":"In Singapore, the frequency and magnitude of dengue epidemics have increased significantly over the past 40 years. It is important to understand the main drivers for the rapid increase in dengue incidence. We studied the relative contributions of putative drivers for the rise of dengue in Singapore: population growth, climate parameters and international air passenger arrivals from dengue endemic countries, for the time period of 1974 until 2011. We used multivariable Poisson regression models with the following predictors: Annual Population Size; Aedes Premises Index; Mean Annual Temperature; Minimum and Maximum Temperature Recorded in each year; Annual Precipitation and Annual Number of Air Passengers arriving from dengue-endemic South-East Asia to Singapore. The relative risk (RR) of the increase in dengue incidence due to population growth over the study period was 42.7, while the climate variables (mean and minimum temperature) together explained an RR of 7.1 (RR defined as risk at the end of the time period relative to the beginning and goodness of fit associated with the model leading to these estimates assessed by pseudo-R2 equal to 0.83). Estimating the extent of the contribution of these individual factors on the increasing dengue incidence, we found that population growth contributed to 86% while the residual 14% was explained by increase in temperature. We found no correlation with incoming air passenger arrivals into Singapore from dengue endemic countries. Our findings have significant implications for predicting future trends of the dengue epidemics given the rapid urbanization with population growth in many dengue endemic countries. It is time for policy-makers and the scientific community alike to pay more attention to the negative impact of urbanization and urban climate on diseases such as dengue.","url":"https://pubmed.ncbi.nlm.nih.gov/26322517/","authors":["Struchiner CJ","Rocklöv J","Wilder-Smith A","Massad E"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2015","doi":"10.1371/journal.pone.0136286","addedAt":"2026-08-31T06:39:47.154Z","updatedAt":"2026-08-31T06:39:47.154Z"},{"id":"pmid:26177149","name":"Using city-wide mobile noise assessments to estimate bicycle trip annual exposure to Black Carbon.","source":"pubmed","abstract":"Several studies have shown that a significant amount of daily air pollution exposure, in particular Black Carbon (BC), is inhaled during bicycle trips. Previously, the instantaneous BC exposure of cyclists was modeled as the sum of a background concentration and a local traffic related component based on a local assessment of traffic noise. We present a fast and low cost methodology to achieve a city-wide assessment of yearly average BC exposure of cyclists along their trips, based on a city-wide mobile noise sensing campaign. The methodology requires participatory sensing measurements of noise, partially combined with BC and/or other air pollutants sensitive to local traffic variations. The combined measurements cover the spatial and meteorological variability and provide the data for an instantaneous exposure model. The mobile noise-only measurements map the full city; and yearly meteorology statistics are used to extrapolate the instantaneous exposure model to a yearly average map of in-traffic air pollution exposure. Less than four passages at each segment along the network with mobile noise equipment are necessary to reach a standard error of 500 ng/m(3) for the yearly average BC exposure. A strong seasonal effect due to the BC background concentration is detected. The background contributes only 25% to the total trip exposure during spring and summer. During winter the background component increases to 50-60%. Engine related traffic noise along the bicyclist's route is a valid indicator of the BC exposure along the route, independent of the seasonal background. Low exposure route selection results in an exposure reduction of 35% in winter and 60% in summer, sensitive to the weather conditions, specific trip attributes and the available alternatives. The methodology is relevant for further research into the local effects of air pollution on health. Mobile noise mapping adds local traffic data including traffic dynamics into the air pollution exposure assessments. Local policy makers and urban planners can use the results to support the implementation of low exposure infrastructure, create awareness through route planners and achieve behavioral changes toward active travel modes.","url":"https://pubmed.ncbi.nlm.nih.gov/26177149/","authors":["Dekoninck L","Botteldooren D","Int Panis L"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2015 Oct","doi":"10.1016/j.envint.2015.07.001","addedAt":"2026-08-31T06:39:47.154Z","updatedAt":"2026-08-31T06:39:47.154Z"},{"id":"pmid:25981556","name":"Longitudinal active living research to address physical inactivity and sedentary behaviour in children in transition from preadolescence to adolescence.","source":"pubmed","abstract":"Children can be highly active and highly sedentary on the same day! For instance, a child can spend a couple of hours playing sports, and then spend the rest of the day in front of a screen. A focus on examining both physical activity and sedentary behaviour throughout the day and in all seasons in a year is necessary to generate comprehensive evidence to curb childhood obesity. To achieve this, we need to understand where within a city are children active or sedentary in all seasons. This active living study based in Saskatoon, Canada, aims to understand the role played by modifiable urban built environments in mitigating, or exacerbating, seasonal effects on children's physical activity and sedentary behaviour in a population of children in transition from preadolescence to adolescence.","url":"https://pubmed.ncbi.nlm.nih.gov/25981556/","authors":["Muhajarine N","Katapally TR","Fuller D","Stanley KG","Rainham D"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2015 May 17","doi":"10.1186/s12889-015-1822-2","addedAt":"2026-08-31T06:39:47.154Z","updatedAt":"2026-08-31T06:39:47.154Z"},{"id":"pmid:25965042","name":"Characterization and source identification of sub-micron particles at the HKUST Supersite in Hong Kong.","source":"pubmed","abstract":"Particle size distribution measurements were conducted continuously at a 30-second interval using the Fast Mobility Particle Sizer (FMPS) in August, September, November and December of 2011 at a coastal background site in Hong Kong. Concurrent measurements of CO, NOx, O3, SO2 and volatile organic compounds (VOCs) were used to determine the causes of high particle number concentration (PNC) events. In all sampling months, PNC were usually higher in the evening, likely resulting from the arrival of upwind air pollutants as wind direction changed in the late afternoon. On the more polluted days, the PNC were usually higher around noon, particularly in August, similar to the diurnal trend of O3. The mode diameter at noon was smaller than in other time periods in all sampling months, further highlighting the role of secondary formation at this urban background site. A prolonged period of pollution episode occurred in late August. High PNC resulted from the arrival of pollution laden air from the PRD region or super regions. In December, new particle formation followed by subsequent growth accounted for most of the polluted days. Overall, meteorology was the most important parameter affecting particle concentrations and formation at this Hong Kong background site.","url":"https://pubmed.ncbi.nlm.nih.gov/25965042/","authors":["Cheung K","Ling ZH","Wang DW","Wang Y","Guo H","Lee B","Li YJ","Chan CK"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2015 Sep 15","doi":"10.1016/j.scitotenv.2015.04.087","addedAt":"2026-08-31T06:39:47.154Z","updatedAt":"2026-08-31T06:39:47.154Z"},{"id":"pmid:25849534","name":"Predictability of road traffic and congestion in urban areas.","source":"pubmed","abstract":"Mitigating traffic congestion on urban roads, with paramount importance in urban development and reduction of energy consumption and air pollution, depends on our ability to foresee road usage and traffic conditions pertaining to the collective behavior of drivers, raising a significant question: to what degree is road traffic predictable in urban areas? Here we rely on the precise records of daily vehicle mobility based on GPS positioning device installed in taxis to uncover the potential daily predictability of urban traffic patterns. Using the mapping from the degree of congestion on roads into a time series of symbols and measuring its entropy, we find a relatively high daily predictability of traffic conditions despite the absence of any priori knowledge of drivers' origins and destinations and quite different travel patterns between weekdays and weekends. Moreover, we find a counterintuitive dependence of the predictability on travel speed: the road segment associated with intermediate average travel speed is most difficult to be predicted. We also explore the possibility of recovering the traffic condition of an inaccessible segment from its adjacent segments with respect to limited observability. The highly predictable traffic patterns in spite of the heterogeneity of drivers' behaviors and the variability of their origins and destinations enables development of accurate predictive models for eventually devising practical strategies to mitigate urban road congestion.","url":"https://pubmed.ncbi.nlm.nih.gov/25849534/","authors":["Wang J","Mao Y","Li J","Xiong Z","Wang WX"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2015","doi":"10.1371/journal.pone.0121825","addedAt":"2026-08-31T06:39:47.154Z","updatedAt":"2026-08-31T06:39:47.154Z"},{"id":"pmid:25845985","name":"Exposure misclassification due to residential mobility during pregnancy.","source":"pubmed","abstract":"Pregnant women are a highly mobile group, yet studies suggest exposure error due to migration in pregnancy is minimal. We aimed to investigate the impact of maternal residential mobility on exposure to environmental variables (urban fabric, roads and air pollution (PM10 and NO&#x2082;)) and socio-economic factors (deprivation) that varied spatially and temporally.","url":"https://pubmed.ncbi.nlm.nih.gov/25845985/","authors":["Hodgson S","Lurz PW","Shirley MD","Bythell M","Rankin J"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2015 Jun","doi":"10.1016/j.ijheh.2015.03.007","addedAt":"2026-08-31T06:39:47.154Z","updatedAt":"2026-08-31T06:39:47.154Z"},{"id":"pmid:25710623","name":"The temporal structure of pollution levels in developed cities.","source":"pubmed","abstract":"Currently, the need for mobility can cause significant pollution levels in cities, with important effects on health and quality of life. Any approach to the study of urban pollution and its effects requires an analysis of spatial distribution and temporal variability. It is a crucial dilemma to obtain proven methodologies that allow an increase in the quality of the prediction and the saving of resources in the spatial and temporal sampling. This work proposes a new analytical methodology in the study of temporal structure. As a result, a model for estimating annual levels of urban traffic noise was proposed. The average errors are less than one decibel in all acoustics indicators. A new working methodology of urban noise has begun. Additionally, a general application can be found for the study of the impacts of pollution associated with traffic, with implications for urban design and possibly in economic and sociological aspects.","url":"https://pubmed.ncbi.nlm.nih.gov/25710623/","authors":["Barrigón Morillas JM","Ortiz-Caraballo C","Prieto Gajardo C"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2015 Jun 1","doi":"10.1016/j.scitotenv.2015.02.057","addedAt":"2026-08-31T06:39:47.154Z","updatedAt":"2026-08-31T06:39:47.154Z"},{"id":"pmid:25617781","name":"Estimating the contribution of photochemical particle formation to ultrafine particle number averages in an urban atmosphere.","source":"pubmed","abstract":"Ultrafine particles (UFPs, diameter&lt;100 nm) have gained major attention in the environmental health discussion due to a number of suspected health effects. Observations of UFPs in urban air reveal the presence of several, time-dependent particle sources. In order to attribute measured UFP number concentrations to different source type contributions, we analyzed observations collected at a triplet of observation sites (roadside, urban background, rural) in the city of Leipzig, Germany. Photochemical new particle formation (NPF) events can be the overwhelming source of UFP particles on particular days, and were identified on the basis of characteristic patterns in the particle number size distribution data. A subsequent segmentation of the diurnal cycles of UFP concentration yielded a quantitative contribution of NPF events to daily, monthly, and annual mean values. At roadside, we obtained source contributions to the annual mean UFP number concentration (diameter range 5-100 nm) for photochemical NPF events (7%), local traffic (52%), diffuse urban sources (20%), and regional background (21%). The relative contribution of NPF events rises when moving away from roadside to the urban background and rural sites (14 and 30%, respectively). Their contribution also increases when considering only fresh UFPs (5-20 nm) (21% at the urban background site), and conversely decreases when considering UFPs at bigger sizes (20-100 nm) (8%). A seasonal analysis showed that NPF events have their greatest importance on UFP number concentration in the months May-August, accounting for roughly half of the fresh UFPs (5-20 nm) at the urban background location. The simplistic source apportionment presented here might serve to better characterize exposure to ambient UFPs in future epidemiological studies.","url":"https://pubmed.ncbi.nlm.nih.gov/25617781/","authors":["Ma N","Birmili W"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2015 Apr 15","doi":"10.1016/j.scitotenv.2015.01.009","addedAt":"2026-08-31T06:39:47.154Z","updatedAt":"2026-08-31T06:39:47.154Z"},{"id":"pmid:25197046","name":"Quantifying the benefits of vehicle pooling with shareability networks.","source":"pubmed","abstract":"Taxi services are a vital part of urban transportation, and a considerable contributor to traffic congestion and air pollution causing substantial adverse effects on human health. Sharing taxi trips is a possible way of reducing the negative impact of taxi services on cities, but this comes at the expense of passenger discomfort quantifiable in terms of a longer travel time. Due to computational challenges, taxi sharing has traditionally been approached on small scales, such as within airport perimeters, or with dynamical ad hoc heuristics. However, a mathematical framework for the systematic understanding of the tradeoff between collective benefits of sharing and individual passenger discomfort is lacking. Here we introduce the notion of shareability network, which allows us to model the collective benefits of sharing as a function of passenger inconvenience, and to efficiently compute optimal sharing strategies on massive datasets. We apply this framework to a dataset of millions of taxi trips taken in New York City, showing that with increasing but still relatively low passenger discomfort, cumulative trip length can be cut by 40% or more. This benefit comes with reductions in service cost, emissions, and with split fares, hinting toward a wide passenger acceptance of such a shared service. Simulation of a realistic online system demonstrates the feasibility of a shareable taxi service in New York City. Shareability as a function of trip density saturates fast, suggesting effectiveness of the taxi sharing system also in cities with much sparser taxi fleets or when willingness to share is low.","url":"https://pubmed.ncbi.nlm.nih.gov/25197046/","authors":["Santi P","Resta G","Szell M","Sobolevsky S","Strogatz SH","Ratti C"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2014 Sep 16","doi":"10.1073/pnas.1403657111","addedAt":"2026-08-31T06:39:47.154Z","updatedAt":"2026-08-31T06:39:47.154Z"},{"id":"pmid:24939711","name":"Submicron particle characteristics of atmospheres in a long highway tunnel.","source":"pubmed","abstract":"This study used a scanning mobility particle sizer (SMPS) to measure and categorize submicron atmospheric particles in the 14-737-nm size range for ambient and urban roadside air and for air in the Hsuehshan Tunnel (12.9 km), Taiwan. Principal component analysis, traffic flow, and particle size distributions were used to identify the emission characteristics of light-duty vehicles (LDV) with the SMPS data. In the Hsuehshan Tunnel, the particle size from the majority of emissions discharged by LDV is approximately 20-60 nm, and the maximum particle number can reach up to 2.5&#x2009;&#xd7;&#x2009;10(5). In contrast, submicron particle size distribution for urban roadsides is mostly 14-200 nm, and the maximum particle number is approximately 4&#x2009;&#xd7;&#x2009;10(4) with the particle number for most particle sizes being below 1,200. The submicron particle size distribution at the ambient air station was unimodal with a mode sizes at 30-50 nm with the maximum particle number of 3,000.","url":"https://pubmed.ncbi.nlm.nih.gov/24939711/","authors":["Hwa MY","Yu TY"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2014 Oct","doi":"10.1007/s10661-014-3865-8","addedAt":"2026-08-31T06:39:47.154Z","updatedAt":"2026-08-31T06:39:47.154Z"},{"id":"pmid:24817159","name":"Metrological assessment of a portable analyzer for monitoring the particle size distribution of ultrafine particles.","source":"pubmed","abstract":"Adverse health effects caused by worker exposure to ultrafine particles have been detected in recent years. The scientific community focuses on the assessment of ultrafine aerosols in different microenvironments in order to determine the related worker exposure/dose levels. To this end, particle size distribution measurements have to be taken along with total particle number concentrations. The latter are obtainable through hand-held monitors. A portable particle size distribution analyzer (Nanoscan SMPS 3910, TSI Inc.) was recently commercialized, but so far no metrological assessment has been performed to characterize its performance with respect to well-established laboratory-based instruments such as the scanning mobility particle sizer (SMPS) spectrometer. The present paper compares the aerosol monitoring capability of the Nanoscan SMPS to the laboratory SMPS in order to evaluate whether the Nanoscan SMPS is suitable for field experiments designed to characterize particle exposure in different microenvironments. Tests were performed both in a Marple calm air chamber, where fresh diesel particulate matter and atomized dioctyl phthalate particles were monitored, and in microenvironments, where outdoor, urban, indoor aged, and indoor fresh aerosols were measured. Results show that the Nanoscan SMPS is able to properly measure the particle size distribution for each type of aerosol investigated, but it overestimates the total particle number concentration in the case of fresh aerosols. In particular, the test performed in the Marple chamber showed total concentrations up to twice those measured by the laboratory SMPS-likely because of the inability of the Nanoscan SMPS unipolar charger to properly charge aerosols made up of aggregated particles. Based on these findings, when field test exposure studies are conducted, the Nanoscan SMPS should be used in tandem with a condensation particle counter in order to verify and correct the particle size distribution data.","url":"https://pubmed.ncbi.nlm.nih.gov/24817159/","authors":["Stabile L","Cauda E","Marini S","Buonanno G"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2014 Aug","doi":"10.1093/annhyg/meu025","addedAt":"2026-08-31T06:39:47.154Z","updatedAt":"2026-08-31T06:39:47.154Z"},{"id":"pmid:24812930","name":"[Characterization of ultrafine particle size distribution in the urban atmosphere of Hangzhou in spring].","source":"pubmed","abstract":"Continuous measurement and analysis of the atmospheric ultrafine particle number concentration were performed in Hangzhou from March to May, 2012 by using the fast mobility particle sizer (FMPS). The result showed that daily number concentration of nucleation mode (5.6-20 nm), Aitken mode (20-100 nm), and accumulation mode (100-560 nm) particles, and total particles were 0.84 x 10(4), 1.08 x 10(4), 0.47 x 10(4) and 2.38 x 10(4) cm(-3) respectively. The concentration of Aitken mode particles was higher than that of other mode particles in sunny day. The nucleation mode and Aitken mode particles usually started to increase around 10:00-11:00 and ended up after 3-4 h. This indicated the solar radiation promoted the formation of new particles. Human activities caused the concentration distribution of each mode particles having an obvious difference between workdays and weekends. Combined with the meteorological factors, analysis showed that the wind speed and wind direction also directly influenced particulate concentration. The analysis of particulate concentration and visibility showed that the concentration of accumulation mode particles had a negative relationship with the atmospheric visibility, while those of nucleation mode and Aitken mode particles had a slight influence on it.","url":"https://pubmed.ncbi.nlm.nih.gov/24812930/","authors":["Xie XF","Sun Z","Yang WJ"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2014 Feb","doi":"","addedAt":"2026-08-31T06:39:47.154Z","updatedAt":"2026-08-31T06:39:47.154Z"},{"id":"pmid:24697615","name":"Dynamic vapor generator that simulates transient odor emissions of victims entrapped in the voids of collapsed buildings.","source":"pubmed","abstract":"The design, development, and validation of a dynamic vapor generator are presented. The generator simulates human scent (odor) emissions from trapped victims in the voids of collapsed buildings. The validation of the device was carried out using a reference detector: a quadrupole mass spectrometer equipped with a pulsed sampling (PS-MS) system. A series of experiments were conducted for evaluating the simulator's performance, defining types and weights of different factors, and proposing further optimization of the device. The developed device enabled the production of stable and transient odor profiles in a controllable and reproducible way (relative standard deviation, RSD &lt; 11%) at ppbv to low ppmv concentrations and allowed emission durations up to 30 min. Moreover, the factors affecting its optimum performance (i.e., evaporation chamber temperature, air flow rate through the mixing chamber, air flow rate through the evaporation chamber, and type of compound) were evaluated through an analysis of variance (ANOVA) tool revealing the next steps toward optimizing the generator. The developed simulator, potentially, can also serve the need for calibrating and evaluating the performance of analytical devices (e.g., gas chromatographers, ion mobility spectrometers, mass spectrometers, sensors, e-noses) in the field. Furthermore, it can contribute in better training of urban search and rescue (USaR) canines.","url":"https://pubmed.ncbi.nlm.nih.gov/24697615/","authors":["Statheropoulos M","Pallis GC","Mikedi K","Giannoukos S","Agapiou A","Pappa A","Cole A","Vautz W","Thomas CL"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2014 Apr 15","doi":"10.1021/ac404175e","addedAt":"2026-08-31T06:39:47.154Z","updatedAt":"2026-08-31T06:39:47.154Z"},{"id":"pmid:27355010","name":"Biochemical and Ultrastructural Changes in Sida cordifolia L. and Catharanthus roseus L. to Auto Pollution.","source":"pubmed","abstract":"Auto pollution is the by-product of our mechanized mobility, which adversely affects both plant and human life. However, plants growing in the urban locations provide a great respite to us from the brunt of auto pollution by absorbing the pollutants at their foliar surface. Foliar surface configuration and biochemical changes in plant species, namely, Sida cordifolia L. and Catharanthus roseus L. grown at roadside (polluted site 1, Talkatora; polluted site 2, Charbagh) in Lucknow city and in the garden of the university campus, which has been taken as reference site, were investigated. It was observed that air pollution caused by auto exhaust showed marked alterations in photosynthetic pigments (chlorophyll, carotenoid, and phaeophytin), and relative water content was reduced while antioxidative enzymes like catalase and peroxidase were found to be enhanced. The changes in the foliar configuration reveal marked alteration in epidermal traits, with decreased number of stomata, stomatal indices, and epidermal cells per unit area, while length and breadth of stomata and epidermal cells were found to be increased in leaves samples wich can be used as biomarkers of auto pollution.","url":"https://pubmed.ncbi.nlm.nih.gov/27355010/","authors":["Verma V","Chandra N"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2014","doi":"10.1155/2014/263092","addedAt":"2026-08-31T06:39:47.154Z","updatedAt":"2026-08-31T06:39:47.154Z"},{"id":"pmid:24293489","name":"[Policies for the promotion of sustainable mobility and the reduction of traffic-related air pollution in the cities participating in the EpiAir2 project].","source":"pubmed","abstract":"to describe transport policies adopted in recent years (2006-2010) by some Italian municipalities and their effectiveness.","url":"https://pubmed.ncbi.nlm.nih.gov/24293489/","authors":["Di Lonardo S","Nuvolone D","Forastiere F","Cadum E","Barchielli A","Gruppo collaborativo EpiAir2"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2013 Jul-Oct","doi":"","addedAt":"2026-08-31T06:39:47.154Z","updatedAt":"2026-08-31T06:39:47.154Z"},{"id":"pmid:23963120","name":"Bioaccumulation of arsenic and cadmium in birch and lime from the Bor region.","source":"pubmed","abstract":"Copper production in the Bor region (east Serbia) during the last 100&#xa0;years has influenced the quality of soil, water, and air. This pollution has endangered not only the biotope but all living organisms, including humans. Contents of arsenic (As) and cadmium (Cd) were analyzed in Betula sp. (birch) and Tillia sp. (lime) within the Bor region with the aim to investigate the bioaccumulation of these highly toxic, nonessential trace elements in selected plants, which may be important for biomonitoring and bioremediation purposes. The results of statistical data analysis showed that several factors influenced the bioaccumulation of trace elements in the examined plants, of which soil pH, soil content, and mechanism of accumulation were the main factors. The greatest As and Cd concentrations were found in plant material from the Bor center sampling site in the urban/industrial zone, which is in close proximity to the pollution source, due to the greatest metal concentrations in soil and the lowest soil pH. The low values of biological accumulation coefficients (bioconcentration factor &lt;1, mobility ratio &lt;1) pointed to a low rate of uptake and accumulation of As and Cd in lime and birch. Trace elements showed different patterns of behavior and accumulation in the trees. Lime showed a high ability of assimilation through leaves, whereas birch showed a better potential to express a linear correlation between concentrations in plant parts and soil.","url":"https://pubmed.ncbi.nlm.nih.gov/23963120/","authors":["Alagić SČ","Šerbula SS","Tošić SB","Pavlović AN","Petrović JV"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2013 Nov","doi":"10.1007/s00244-013-9948-7","addedAt":"2026-08-31T06:39:47.154Z","updatedAt":"2026-08-31T06:39:47.154Z"},{"id":"pmid:23837305","name":"A study of the routes of contamination by lead and cadmium in Santo Amaro, Brazil.","source":"pubmed","abstract":"The problem of contamination by cadmium and lead in Santo Amaro, Brazil, has been studied since 1970 and the severity of this contamination case has been demonstrated by many authors. This study evaluates the persistence of the superficial soil contamination around the metallurgical plant and attempts to correlate the lead and cadmium concentrations to the past atmospheric emissions from the lead plant and with the presence of lead debris under urban road surface and in the backyards of homes. Past emissions still play an important role in soil contamination. In areas without debris, about 30% of the soil samples had lead concentrations above the agricultural use limit of 180 parts per million (ppm) (according to CONAMA 420, 2009), 20% of the samples had concentrations above 300 ppm (maximum for residential use) and 9.6% of the samples had concentrations above 900 ppm (maximum for industrial use). These concentrations are higher cldse to the chimney of the metallurgical plant. An average lead concentration of 1316 ppm was found in the backyard samples. About 80% of the houses had lead concentrations above 300 ppm and about 50% of the samples had values above 900 ppm, indicating the importance of the lead debris in the contamination scenario. Although a matter of concern, the cadmium concentrations seem to be less problematic than lead at the present time, probably due to the higher mobility of cadmium. The cadmium concentrations in the atmospheric dispersion and backyard samples showed similar trends, while the influence of the lead debris on the soil contamination is less evident.","url":"https://pubmed.ncbi.nlm.nih.gov/23837305/","authors":["Machado S","Rabelo TS","Portella RB","Carvalho Mde F","Magna GA"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2013 Mar-Apr","doi":"10.1080/09593330.2012.692717","addedAt":"2026-08-31T06:39:47.154Z","updatedAt":"2026-08-31T06:39:47.154Z"},{"id":"pmid:23729164","name":"Pollution and potential mobility of Cd, Ni and Pb in the sediments of a wastewater-receiving river in Hanoi, Vietnam.","source":"pubmed","abstract":"Large quantities of untreated industrial and domestic wastewater are discharged from the city of Hanoi into urban rivers. Sediment samples from three sites in the To Lich River in Hanoi were assessed with respect to the concentrations and potential mobility of cadmium (Cd), nickel (Ni) and lead (Pb). Due to very high Cd concentrations up to 700 mg kg(-1) at one site, the sediment was considered highly unsuitable for any types of land use if dredged and disposed of on land. Chemical sequential extractions of wet and anoxic sediment samples showed that Cd and Pb were largely associated with the redox-sensitive fractions and could thus be mobilised following measures such as resuspension or dredging. To assess the potential mobilisation of heavy metals from the anoxic sediment due to oxidation, the samples were exposed to different oxidants (i.e. atmospheric air and hydrogen peroxide) and afterwards submitted to a leaching test. These experiments showed that although oxidation may increase the equilibrium pore water concentrations of heavy metals in the sediments, other sediment mineral fractions seem to effectively immobilise heavy metals potentially released from the oxidisable fraction.","url":"https://pubmed.ncbi.nlm.nih.gov/23729164/","authors":["Ingvertsen ST","Marcussen H","Holm PE"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2013 Nov","doi":"10.1007/s10661-013-3271-7","addedAt":"2026-08-31T06:39:47.154Z","updatedAt":"2026-08-31T06:39:47.154Z"},{"id":"pmid:23602974","name":"Chemical speciation and human health risk of trace metals in urban street dusts from a metropolitan city, Nanjing, SE China.","source":"pubmed","abstract":"The modified BCR (the European Community Bureau of Reference) sequential extraction procedure was applied for partitioning and evaluating the mobility, availability and persistence of trace metals (Al, Cd, Co, Cr, Cu, Ni, Pb, Sr, V and Zn) in urban street dusts collected from different areas of Nanjing, China. The mobility sequence based on the sum of the BCR sequential extraction stages was: Sr (91.65%)&gt;Pb (79.16%)&gt;Zn (74.26%)&gt;Cu (68.53%)&gt;Co (45.98%)&gt;Al (40.01%)&#x2248;V (38.45%)&#x2248;Ni (37.88%)&gt;Cr (29.35%)&gt;Cd (22.68%). Almost every trace metal had its highest total concentrations in the industrial area, except for Sr which had its highest concentration in the commercial area. Contamination factors (Cf), risk assessment code (RAC) and enrichment factor (Ef) were then calculated to further assess the environmental risk and provide a preliminary estimate of the main sources of trace metals in street dusts. Non-carcinogenic effects and carcinogenic effects due to exposure to urban street dusts were assessed for both children and adults. For non-carcinogenic effects, ingestion was the main route of exposure to street dusts for these metals, followed by dermal contact and inhalation. Hazard index values for all studied metals were lower than the safe level of 1, and Pb exhibited the highest risk value (0.125) in the case of children. The carcinogenic risk for Cd, Co, Cr and Ni were all below the acceptable level (&lt;10(-6)).","url":"https://pubmed.ncbi.nlm.nih.gov/23602974/","authors":["Li H","Qian X","Hu W","Wang Y","Gao H"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2013 Jul 1","doi":"10.1016/j.scitotenv.2013.03.094","addedAt":"2026-08-31T06:39:47.154Z","updatedAt":"2026-08-31T06:39:47.154Z"},{"id":"pmid:23506368","name":"1,2,3,4-Diepoxybutane-induced DNA-protein cross-linking in human fibrosarcoma (HT1080) cells.","source":"pubmed","abstract":"1,2,3,4-Diepoxybutane (DEB) is the key carcinogenic metabolite of 1,3-butadiene (BD), an important industrial and environmental chemical present in urban air and in cigarette smoke. DEB is a genotoxic bis-electrophile capable of cross-linking cellular biomolecules to form DNA-DNA and DNA-protein cross-links (DPCs). In the present work, mass spectrometry-based proteomics was employed to characterize DEB-mediated DNA-protein cross-linking in human fibrosarcoma (HT1080) cells. Over 150 proteins including histones, high mobility group proteins, transcription factors, splicing factors, and tubulins were found among those covalently cross-linked to chromosomal DNA in the presence of DEB. A large portion of the cross-linked proteins are known factors involved in DNA binding, transcriptional regulation, cell signaling, DNA repair, and DNA damage response. HPLC-ESI(+)-MS/MS analysis of total proteolytic digests revealed the presence of 1-(S-cysteinyl)-4-(guan-7-yl)-2,3-butanediol conjugates, confirming that DEB forms DPCs between cysteine thiols within proteins and the N-7 guanine positions within DNA. However, relatively high concentrations of DEB were required to achieve significant DPC formation, indicating that it is a poor cross-linking agent as compared to antitumor nitrogen mustards and platinum compounds.","url":"https://pubmed.ncbi.nlm.nih.gov/23506368/","authors":["Gherezghiher TB","Ming X","Villalta PW","Campbell C","Tretyakova NY"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2013 May 3","doi":"10.1021/pr3011974","addedAt":"2026-08-31T06:39:47.154Z","updatedAt":"2026-08-31T06:39:47.154Z"},{"id":"pmid:23429581","name":"Autonomous docking based on infrared system for electric vehicle charging in urban areas.","source":"pubmed","abstract":"Electric vehicles are progressively introduced in urban areas, because of their ability to reduce air pollution, fuel consumption and noise nuisance. Nowadays, some big cities are launching the first electric car-sharing projects to clear traffic jams and enhance urban mobility, as an alternative to the classic public transportation systems. However, there are still some problems to be solved related to energy storage, electric charging and autonomy. In this paper, we present an autonomous docking system for electric vehicles recharging based on an embarked infrared camera performing infrared beacons detection installed in the infrastructure. A visual servoing system coupled with an automatic controller allows the vehicle to dock accurately to the recharging booth in a street parking area. The results show good behavior of the implemented system, which is currently deployed as a real prototype system in the city of Paris.","url":"https://pubmed.ncbi.nlm.nih.gov/23429581/","authors":["Pérez J","Nashashibi F","Lefaudeux B","Resende P","Pollard E"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2013 Feb 21","doi":"10.3390/s130202645","addedAt":"2026-08-31T06:39:47.154Z","updatedAt":"2026-08-31T06:39:47.154Z"},{"id":"pmid:23354617","name":"Application of GIS and modelling in health risk assessment for urban road mobility.","source":"pubmed","abstract":"Transport is an essential sector in modern societies. It connects economic sectors and industries. Next to its contribution to economic development and social interconnection, it also causes adverse impacts on the environment and results in health hazards. Transport is a major source of ground air pollution, especially in urban areas, and therefore contributes to the health problems, such as cardiovascular and respiratory diseases, cancer and physical injuries. This paper presents the results of a health risk assessment that quantifies the mortality and the diseases associated with particulate matter pollution resulting from urban road transport in Haiphong City, Vietnam. The focus is on the integration of modelling and geographic information system approaches in the exposure analysis to increase the accuracy of the assessment and to produce timely and consistent assessment results. The modelling was done to estimate traffic conditions and concentrations of particulate matters based on geo-referenced data. The study shows that health burdens due to particulate matter in Haiphong include 1,200 extra deaths for the situation in 2007. This figure can double by 2020 as the result of the fast economic development the city pursues. In addition, 51,000 extra hospital admissions and more than 850,000 restricted activity days are expected by 2020.","url":"https://pubmed.ncbi.nlm.nih.gov/23354617/","authors":["Vu VH","Le XQ","Pham NH","Hens L"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2013 Aug","doi":"10.1007/s11356-013-1492-5","addedAt":"2026-08-31T06:39:47.154Z","updatedAt":"2026-08-31T06:39:47.154Z"},{"id":"pmid:23258285","name":"[Environmental health policies emphasizing air pollution and childhood in Colombian cities].","source":"pubmed","abstract":"Responding to an initiative advanced by the National Economic and Social Policy Council (CONPES, 3344/2005), this article presents the results of a research project concerned with environmental health in Colombian cities emphasising air pollution.","url":"https://pubmed.ncbi.nlm.nih.gov/23258285/","authors":["García-Ubaque CA","García-Ubaque JC","Vaca-Bohórquez ML"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2012 Jun","doi":"10.1590/s0124-00642012000800009","addedAt":"2026-08-31T06:39:47.154Z","updatedAt":"2026-08-31T06:39:47.154Z"},{"id":"pmid:23057971","name":"[Health impact assessment of the San Fernando street renewal project in Alcalá de Guadaíra (Seville, Spain)].","source":"pubmed","abstract":"This study describes the design and implementation of a health impact assessment (HIA) conducted in 2010 of the regeneration project of San Fernando Street, the main avenue crossing the San Miguel-El Castillo neighborhood in Alcala de Guada&#xed;ra (Seville, Spain). This project is part of the wider URBAN Plan aimed at the social, urban and economic regeneration of the city's historic center.","url":"https://pubmed.ncbi.nlm.nih.gov/23057971/","authors":["Venegas-Sánchez J","Rivadeneyra-Sicilia A","Bolívar-Muñoz J","López-Fernández LA","Martín-Olmedo P","Fernández-Ajuria A","Daponte-Codina A","Ruiz-Fernández J","Artundo-Purroy C"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2013 May-Jun","doi":"10.1016/j.gaceta.2012.08.002","addedAt":"2026-08-31T06:39:47.154Z","updatedAt":"2026-08-31T06:39:47.154Z"},{"id":"pmid:22940040","name":"Toxicologically important trace elements and organic compounds investigated in size-fractionated urban particulate matter collected near the Prague highway.","source":"pubmed","abstract":"Urban particulate matter was collected in the most exposed area of Prague, near a busy highway, in order to provide petrographic and chemical characterization useful for health impact assessment in that locality or other applications. Samples were collected from filters of the air conditioning system in two years, 2009 and 2010, and sieved into four grain-size fractions: 0.507-0.119 mm, 0.119-0.063 mm, &lt;0.063 mm and sub-fraction &lt;0.025 mm. Methods of destructive and non-destructive analyses were used for the determination of total analyte (As, Cd, Cr, Mn, Ni, Pb, Zn) contents. Labile forms of some toxicologically important analytes were tested in 2 M HNO(3) extracted solutions. A composition of inorganic and carbonaceous particles of natural and anthropogenic origin and their morphology were studied by optical and electron microscopy. Organic solvent extracts of the samples were analyzed using gas chromatography to compare the organic compound distribution in fractions. Only slight differences between 2009 and 2010 years are visible. The relatively high extractable part of most investigated elements confirms mobility and potential availability to organisms. The changes can be recognized in the petrographic and organic composition in samples from both years, which were likely the result of various inputs of source materials. Specific organic marker compounds indicate contribution from fossil fuels, plant materials and bacteria.","url":"https://pubmed.ncbi.nlm.nih.gov/22940040/","authors":["Sysalová J","Sýkorová I","Havelcová M","Száková J","Trejtnarová H","Kotlík B"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2012 Oct 15","doi":"10.1016/j.scitotenv.2012.07.030","addedAt":"2026-08-31T06:39:47.154Z","updatedAt":"2026-08-31T06:39:47.154Z"},{"id":"pmid:22770380","name":"Identification of weak and strong organic acids in atmospheric aerosols by capillary electrophoresis/mass spectrometry and ultra-high-resolution Fourier transform ion cyclotron resonance mass spectrometry.","source":"pubmed","abstract":"A novel approach using a combination of capillary electrophoresis/mass spectrometry (CE/MS) and off-line Fourier transform ion cyclotron resonance mass spectrometry (FTICR-MS) revealed the structural details of acidic constituents of atmospheric organic aerosol. Both techniques utilized electrospray ionization (ESI), a soft ionization method, to facilitate the analysis of complex mixtures of organic compounds. CE/ESI-MS using an UltraTrol LN-precoated capillary and acidic background electrolytes at different pH values (2.5 and 4.7) was used to differentiate between weak (carboxylic) and strong (sulfonic) organic acids. On the basis of the electrophoretic mobility, m/z constraints from CE/ESI(-)-MS, and elemental composition information retrieved from off-line FTICR-MS, a variety of aliphatic and aromatic carboxylic acids (CHO-bearing molecules), nitrogen-containing carboxylic acids (CHON-bearing molecules), organosulfates (CHOS-bearing molecules), and (nitrooxy)organosulfates (CHONS-bearing molecules) were tentatively identified in the Oasis-HLB-extracted urban PM(2.5) (particulate matter with an aerodynamic diameter of &lt;2.5 &#x3bc;m). The chemical known/unknown structures of detected compounds were confirmed by the semiempirical Offord model (effective mobility linearly correlated to Z/M(2/3)). The majorities of the identified compounds are products of atmospheric reactions and are known contributors to secondary organic aerosols.","url":"https://pubmed.ncbi.nlm.nih.gov/22770380/","authors":["Yassine MM","Dabek-Zlotorzynska E","Harir M","Schmitt-Kopplin P"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2012 Aug 7","doi":"10.1021/ac300798g","addedAt":"2026-08-31T06:39:47.154Z","updatedAt":"2026-08-31T06:39:47.154Z"},{"id":"pmid:22759090","name":"Fate and risks of nanomaterials in aquatic and terrestrial environments.","source":"pubmed","abstract":"Over the last decade, nanoparticles have been used more frequently in industrial applications and in consumer and medical products, and these applications of nanoparticles will likely continue to increase. Concerns about the environmental fate and effects of these materials have stimulated studies to predict environmental concentrations in air, water, and soils and to determine threshold concentrations for their ecotoxicological effects on aquatic or terrestrial biota. Nanoparticles can be added to soils directly in fertilizers orplant protection products or indirectly through application to land or wastewater treatment products such as sludges or biosolids. Nanoparticles may enter aquatic systems directly through industrial discharges or from disposal of wastewater treatment effluents or indirectly through surface runoff from soils. Researchers have used laboratory experiments to begin to understand the effects of nanoparticles on waters and soils, and this Account reviews that research and the translation of those results to natural conditions. In the environment, nanoparticles can undergo a number of potential transformations that depend on the properties both of the nanoparticle and of the receiving medium. These transformations largely involve chemical and physical processes, but they can involve biodegradation of surface coatings used to stabilize many nanomaterial formulations. The toxicity of nanomaterials to algae involves adsorption to cell surfaces and disruption to membrane transport. Higher organisms can directly ingest nanoparticles, and within the food web, both aquatic and terrestrial organisms can accumulate nanoparticles. The dissolution of nanoparticles may release potentially toxic components into the environment. Aggregation with other nanoparticles (homoaggregation) or with natural mineral and organic colloids (heteroaggregation) will dramatically change their fate and potential toxicity in the environment. Soluble natural organic matter may interact with nanoparticles to change surface charge and mobility and affect the interactions of those nanoparticles with biota. Ultimately, aquatic nanomaterials accumulate in bottom sediments, facilitated in natural systems by heteroaggregation. Homoaggregates of nanoparticles sediment more slowly. Nanomaterials from urban, medical, and industrial sources may undergo significant transformations during wastewater treatment processes. For example, sulfidation of silver nanoparticles in wastewater treatment systems converts most of the nanoparticles to silver sulfides (Ag&#x2082;S). Aggregation of the nanomaterials with other mineral and organic components of the wastewater often results in most of the nanomaterial being associated with other solids rather than remaining as dispersed nanosized suspensions. Risk assessments for nanomaterial releases to the environment are still in their infancy, and reliable measurements of nanomaterials at environmental concentrations remain challenging. Predicted environmental concentrations based on current usage are low but are expected to increase as use increases. At this early stage, comparisons of estimated exposure data with known toxicity data indicate that the predicted environmental concentrations are orders of magnitude below those known to have environmental effects on biota. As more toxicity data are generated under environmentally-relevant conditions, risk assessments for nanomaterials will improve to produce accurate assessments that assure environmental safety.","url":"https://pubmed.ncbi.nlm.nih.gov/22759090/","authors":["Batley GE","Kirby JK","McLaughlin MJ"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2013 Mar 19","doi":"10.1021/ar2003368","addedAt":"2026-08-31T06:39:47.154Z","updatedAt":"2026-08-31T06:39:47.154Z"},{"id":"pmid:22680699","name":"Ombrotrophic peat bogs are not suited as natural archives to investigate the historical atmospheric deposition of perfluoroalkyl substances.","source":"pubmed","abstract":"As ombrotrophic peat bogs receive only atmospheric input of contaminants, they have been identified as suitable natural archives for investigating historical depositions of airborne pollutants. To elucidate their suitability for determining the historical atmospheric contamination with perfluoroalkyl substances (PFAS), two peat cores were sampled at Mer Bleue, a bog located close to Ottawa, Canada. Peat cores were segmented, dried, and analyzed in duplicate for 25 PFASs (5 perfluororalkyl sulfonates (PFSAs), 13 perfluoroalkyl carboxylates (PFCAs), 7 perfluororalkyl sulfonamido substances). Peat samples were extracted by ultrasonication, cleaned up using a QuEChERS method, and PFASs were measured by HPLC-MS/MS. Twelve PFCAs and PFSAs were detected regularly in peat samples with perfluorooctane sulfonate (85-655 ng kg(-1)), perfluorooctanoate (150-390 ng kg(-1)), and perfluorononanoate (45-320 ng kg(-1)) at highest concentrations. Because of post depositional relocation processes within the peat cores, true or unbiased deposition fluxes (i.e., not affected by post depositional changes) could not be calculated. Apparent or biased deposition rates (i.e., affected by post depositional changes) were lower than measured/calculated deposition rates for similar urban or near-urban sites. Compared to PFAS production, PFAS concentration and deposition maxima were shifted about 30 years toward the past and some analytes were detected even in the oldest segments from the beginning of the 20th century. This was attributed to PFAS mobility in the peat profile. Considerable differences were observed between both peat cores and different PFASs. Overall, this study demonstrates that ombrotrophic bogs are not suited natural archives to provide authentic and reliable temporal trend data of historical atmospheric PFAS deposition.","url":"https://pubmed.ncbi.nlm.nih.gov/22680699/","authors":["Dreyer A","Thuens S","Kirchgeorg T","Radke M"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2012 Jul 17","doi":"10.1021/es204175y","addedAt":"2026-08-31T06:39:47.154Z","updatedAt":"2026-08-31T06:39:47.154Z"},{"id":"pmid:22616279","name":"Assessment of exposure to airborne ultrafine particles in the urban environment of Lisbon, Portugal.","source":"pubmed","abstract":"The aim of this study was the assessment of exposure to ultrafine in the urban environment ofLisbon, Portugal, due to automobile traffic, and consisted of the determination of deposited alveolar surface area in an avenue leading to the town center during late spring. This study revealed differentiated patterns for weekdays and weekends, which could be related with the fluxes of automobile traffic. During a typical week, ultrafine particles alveolar deposited surface area varied between 35.0 and 89.2 microm2/cm3, which is comparable with levels reported for other towns such in Germany and the United States. These measurements were also complemented by measuring the electrical mobility diameter (varying from 18.3 to 128.3 nm) and number of particles that showed higher values than those previously reported for Madrid and Brisbane. Also, electron microscopy showed that the collected particles were composed of carbonaceous agglomerates, typical of particles emitted by the exhaustion of diesel vehicles.","url":"https://pubmed.ncbi.nlm.nih.gov/22616279/","authors":["Albuquerque PC","Gomes JF","Bordado JC"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2012 Apr","doi":"10.1080/10962247.2012.658957","addedAt":"2026-08-31T06:39:47.154Z","updatedAt":"2026-08-31T06:39:47.154Z"},{"id":"pmid:22561760","name":"Lifestyle pattern in selected slums in Mymensingh Municipal area.","source":"pubmed","abstract":"Lifestyle is composed of cultural and behavioural patterns and lifelong personal habits that developed through processes of socialization. Lifestyle may be health promotive or detrimental to health. Health requires the promotion of healthy lifestyle. Many current day health problems are associated with lifestyle changes. Because of rising urban population, the number of slum dwellers is rising. The mobility of people from rural to urban areas is the main reason of the growing slum population in cities. This Descriptive, cross-sectional study was directed to assess lifestyle pattern in four purposively selected slums in Mymensingh Municipal area. Non-Probability purposive type of sampling technique was used for selecting the study unit. Sample size was one hundred and twenty-three (123) families. Data were collected by interview with one of the adult family members, preferably with the head of the family, with mixed type of interviewer administered questionnaire. There were 494 family members with an average family size of 4.02, while mean age was 24.58 years with a standard deviation (SD) of 17.79 years. Male-female ratio was 103:100. Of 409 members over 5 years, 174(42.54%) did not have schooling and were illiterate. At least 105(33.02%) members were house-wives, and 99(81.15%) members were smokers. An overwhelming majority (79, 64.23%) families had monthly income between 2000 to 4999 taka. As many as 55(44.72%) families lived in kaccha house, while 40(32.52%) had to live in \"Jhupree\". In cent per cent families, tube well was the source of water for drinking and other household purposes. A highest majority 121(98.37%) of the families had latrine, while the remaining 2(1.63%) did not have any latrine, and defecate in open air. Of 121 families, 78(64.46%) families had sanitary latrine, while 43(37.54%) did not have sanitary latrine. It was revealed that 86(69.92%) families had cell-phone, while 65(52.85%) families had television, 10(8.13%) families had radio, and 5(4.06%) families had DVD/VCR for recreational facilities. As many as 75(60.98%) respondents had correct knowledge, while the rest 48(39.02%) had incorrect knowledge on hand washing. Of 75, at least 66(88.00%) respondents practiced hand washing, while 9(12.00%) respondents did not practice it. As many as 110(89.43%) members sought medical help for major and minor illness of their family members, whereas the rest 13(10.57%) families did not. Of 110, 62(56.36%) families paid visit to government Hospital, while 22(20.00%) visited to private clinic, 12(10.90%) to pharmacy, 10(9.10%) to qualified doctors and 4(3.64%) to the traditional healers. As many as 58(52.71%) respondents mentioned that they preferred as the facilities cater service free of cost, while 32(29.10%) preferred for better and effective treatment, 16(14.55%) for close to their residence and 4(7.27%) for their belief. Living condition of slum dwellers is considerably low due to low income and inadequate education. Moreover, poor physical environment with unsanitary excreta disposal method is commonplace in slum areas. Existing lifestyle of slum dwellers is unacceptable, and should be improved so that they can contribute to the national development.","url":"https://pubmed.ncbi.nlm.nih.gov/22561760/","authors":["Basher MS","Haque MM","Ullah MS","Nasreen SA","Begum AA","Islam MN","Akhter S","Haque MS"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2012 Apr","doi":"","addedAt":"2026-08-31T06:39:47.154Z","updatedAt":"2026-08-31T06:39:47.154Z"},{"id":"pmid:22317037","name":"VLT: a sustainable solution to urban mobility, in João Pessoa-PB.","source":"pubmed","abstract":"The changes happen quickly in today's world, simultaneously interacting with technological advances in the sciences and new paradigms socio-political and economic, in search of a sustainable future and a present with emergency strategies for the preservation of humanity and the planet \"Earth \". Currently, the mobility of people in the intra-urban space is being threatened by congestion, pollution resulting from the appreciation of the culture of personal transport and the precariousness of public transportation. In the city of Jo&#xe3;o Pessoa (PB), the subject of this finding for these disorders. Workers suffer the consequences of daily stress takes to access home-work, difficulty in arriving at the right time to the workplace and adverse reactions caused by pollution. The VLT (Light Rail Vehicle) has been presented as a viable solution to the problems of public transport, with several experiments that can be seen as positive in the world. This work involves the implementation of a public transport system based on VLT Corridor along the Avenue Dom Pedro II, in Jo&#xe3;o Pessoa (PB), aiming to acquire a good transport network for use of the population, reduce the number of vehicles on process, minimize pollution and optimize urban mobility.","url":"https://pubmed.ncbi.nlm.nih.gov/22317037/","authors":["de Assis UW","Silva GW"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2012","doi":"10.3233/WOR-2012-1022-2169","addedAt":"2026-08-31T06:39:47.154Z","updatedAt":"2026-08-31T06:39:47.154Z"},{"id":"pmid:22057931","name":"Adsorption and desorption of chlorpyrifos to soils and sediments.","source":"pubmed","abstract":"Chlorpyrifos, one of the most widely used insecticides, has been detected in air, rain, marine sediments, surface waters, drinking water wells, and solid and liquid dietary samples collected from urban and rural areas. Its metabolite, TCP, has also been widely detected in urinary samples collected from people of various age groups. With a goal of elucidating the factors that control the environmental contamination, impact, persistence, and ecotoxicity of chlorpyrifos, we examine, in this review, the peer-reviewed literature relating to chlorpyrifos adsorption and desorption behavior in various solid-phase matrices. Adsorption tends to reduce chlorpyrifos mobility, but adsorption to erodible particulates, dissolved organic matter, or mobile inorganic colloids enhances its mobility. Adsorption to suspended sediments and particulates constitutes a major off-site migration route for chlorpyrifos to surface waters, wherein it poses a potential danger to aquatic organisms. Adsorption increases the persistence of chlorpyrifos in the environment by reducing its avail- ability to a wide range of dissipative and degradative forces, whereas the effect of adsorption on its ecotoxicity is dependent upon the route of exposure. Chlorpyrifos adsorbs to soils, aquatic sediments, organic matter, and clay minerals to differing degrees. Its adsorption strongly correlates with organic carbon con- tent of the soils and sediments. A comprehensive review of studies that relied on the batch equilibrium technique yields mean and median Kd values for chlorpyrifos of 271 and 116 L/kg for soils, and 385 and 403 L/kg for aquatic sediments. Chlorpyrifos adsorption coefficients spanned two orders of magnitude in soils. Normalizing the partition coefficient to organic content failed to substantially reduce variability to commonly acceptable level of variation. Mean and median values for chlorpyrifos partition coefficients normalized to organic carbon, K, were 8,163 and 7,227 L/kg for soils and 13,439 and 15,500 L/kg for sediipents. This variation may result from several factors, including various experimental artifacts, variation in quality of soil organic matter, and inconsistencies in experimental methodologies. Based on this review, there appears to be no definitive quantification of chlorpyrifos adsorption or desorption characteristics. Thus, it is difficult to predict its adsorptive behavior with certainty, without resorting to experimental methods specific to the soil or sediment of interest. This limitation should be recognized in the context of current efforts to predict the risk, fate, and transport of chlorpyrifos based upon published partition coefficients. Based on a comprehensive review of the peer-reviewed literature related to adsorption and desorption of chlorpyrifos, we propose the following key areas for future research. From this review, it becomes increasingly evident that pesticide partitioning cannot be fully accounted for by the fraction of soil or solid-matrix organic matter or carbon content. Therefore, research that probes the variation in the nature and quality of soil organic matter on pesticide adsorption is highly desirable. Pesticide persistence and bioavailability depend on insights into desorption capacity. Therefore, understanding the fate and environmental impact of hydrophobic pesticides is incomplete without new research being performed to improve insights into pesticide desorption from soils and sediments. There is also a need for greater attention and consistency in developing experimental methods aimed at estimating partition coefficients. Moreover, in such testing, choosing initial concentrations and liquid-solid ratios that are more representative of environmental conditions could improve usefulness and interpretation of data that are obtained. Future monitoring efforts should include the sampling and analysis of suspended particulates to account for suspended solid-phase CPF, a commonly underestimated fraction in sur","url":"https://pubmed.ncbi.nlm.nih.gov/22057931/","authors":["Gebremariam SY","Beutel MW","Yonge DR","Flury M","Harsh JB"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2012","doi":"10.1007/978-1-4614-1463-6_3","addedAt":"2026-08-31T06:39:47.154Z","updatedAt":"2026-08-31T06:39:47.154Z"},{"id":"pmid:22018546","name":"Assessment of airborne heavy metal pollution using plant parts and topsoil.","source":"pubmed","abstract":"Robinia pseudoacacia L. (Fabaceae) was evaluated as a possible bioindicator of airborne heavy metal pollution, which originates from mining and pyrometallurgical copper production in Bor (Eastern Serbia). Concentrations of Cu, Zn, Pb, Cd, As and Hg were determined in different plant organs (washed/unwashed leaves, branches, roots) and topsoil of R. pseudoacacia by ICP-AES and by AAS. Sampling was carried out during 2008 at ten selected sites distributed in five zones with different levels of pollution. Concentrations of Pb, Cd and Hg did not exceeded the maximum allowed concentration (MAC) in soils at any of the sampling sites. Cu and As were present only at two sites within the MAC, whereas Zn exceeded the MAC at two sampling sites. Although present in the soil, As, Cd and Hg were below limit of detection in all parts of R. pseudoacacia. The rest of the studied elements, collected at the sites closest to the copper smelter or in the directions of the prevailing winds, were found to be at high levels. The higest Cu and Zn concentrations were detected in branches of R. pseudoacacia at the site Krivelj in the rural zone (6418.2&#xb1;355.4 mg kg&#x207b;&#xb9; and 4699.8&#xb1;320.8 mg kg&#x207b;&#xb9;, respectively). Pb was present in similar amounts in all parts of R. pseudoacacia in the concentration ranging from 4.9 &#xb1; 0.3 mg kg&#x207b;&#xb9; (in washed leaves, at tourist zone) to 66.9&#xb1;5.3 mg kg&#x207b;&#xb9; (in roots, at urban-industrial zone). According to the mobility ratio, leaves and branches of R. pseudoacacia acted as excluders of Cu, Zn and Pb, except for the branches which acted as indicators of Zn. Although As is present in high concentrations in the air and topsoil of the examined area, results show that R. pseudoacacia is not a suitable indicator of environmental pollution with As.","url":"https://pubmed.ncbi.nlm.nih.gov/22018546/","authors":["Serbula SM","Miljkovic DDj","Kovacevic RM","Ilic AA"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2012 Feb","doi":"10.1016/j.ecoenv.2011.10.009","addedAt":"2026-08-31T06:39:47.154Z","updatedAt":"2026-08-31T06:39:47.154Z"},{"id":"pmid:21714382","name":"Air pollution: a tale of two countries.","source":"pubmed","abstract":"The fast growing economies and continued urbanization in Asian countries have increased the demand for mobility and energy in the region, resulting in high levels of air pollution in cities from mobile and stationary sources. In contrast, low level of urbanization in Australia produces low level of urban air pollution. The World Health Organization estimates that about 500,000 premature deaths per year are caused by air pollution, leaving the urban poor particularly vulnerable since they live in air pollution hotspots, have low respiratory resistance due to bad nutrition, and lack access to quality health care. Identifying the differences and similarities of air pollution levels and its impacts, between Indonesia and Australia, will provide best lesson learned to tackle air pollution problems for Pacific Basin Rim countries.","url":"https://pubmed.ncbi.nlm.nih.gov/21714382/","authors":["Haryanto B","Franklin P"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2011","doi":"10.1515/reveh.2011.008","addedAt":"2026-08-31T06:39:47.154Z","updatedAt":"2026-08-31T06:39:47.154Z"},{"id":"pmid:21533796","name":"Comparison of quartz and Teflon filters for simultaneous collection of size-separated ultrafine aerosol particles and gas-phase zero samples.","source":"pubmed","abstract":"In this research, the two most common filter media, quartz and Teflon, were tested to obtain information about the possible adsorption of gas-phase compounds onto filters during long sample collection of atmospheric aerosols. Particles of nanometer-size for off-line chemical characterization were collected using a recently introduced differential mobility analyzer for size separation. Samples were collected at an urban site (Helsinki, SMEARIII station) during spring 2010. Sampling time was 4 to 10 days for particles 50, 40, or 30 nm in diameter. Sample air flow was 4 L/min. The sampling setup was arranged so that two samples were obtained for each sampling period almost simultaneously: one containing particles and adsorbed gas-phase compounds and one containing adsorbed gas-phase compounds only. Filters were extracted and analyzed for the presence of selected carboxylic acids, polyols, nitrogen-containing compounds, and aldehydes. The results showed that, in quartz filter samples, gas-phase adsorption may be responsible for as much as 100% of some compound masses. Whether quartz or Teflon, simultaneous collection of gas-phase zero samples is essential during the whole sampling period. The dependence of the adsorption of gas-phase compounds on vapor pressure and the effect of adsorption on the deposited aerosol layer are discussed.","url":"https://pubmed.ncbi.nlm.nih.gov/21533796/","authors":["Parshintsev J","Ruiz-Jimenez J","Petäjä T","Hartonen K","Kulmala M","Riekkola ML"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2011 Jul","doi":"10.1007/s00216-011-5041-0","addedAt":"2026-08-31T06:39:47.154Z","updatedAt":"2026-08-31T06:39:47.154Z"},{"id":"pmid:21506034","name":"Quantification of health benefits related with reduction of atmospheric PM₁₀ levels: implementation of population mobility approach.","source":"pubmed","abstract":"This study is focused on the assessment of potential health benefits by meeting the air quality limit values (2008/50/CE) for short-term PM&#x2081;&#x2080; exposure. For this purpose, the methodology of the WHO for Health Impact Assessment and APHEIS guidelines for data collection were applied to Porto Metropolitan Area, Portugal. Additionally, an improved methodology using population mobility data is proposed in this work to analyse number of persons exposed. In order to obtain representative background concentrations, an innovative approach to process air quality time series was implemented. The results provide the number of attributable cases prevented annually by reducing PM(10) concentration. An intercomparison of two approaches to process input data for the health risk analysis provides information on sensitivity of the applied methodology. The findings highlight the importance of taking into account spatial variability of the air pollution levels and population mobility in the health impact assessment.","url":"https://pubmed.ncbi.nlm.nih.gov/21506034/","authors":["Tchepel O","Dias D"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2011 Jun","doi":"10.1080/09603123.2010.520117","addedAt":"2026-08-31T06:39:47.154Z","updatedAt":"2026-08-31T06:39:47.154Z"},{"id":"pmid:21429644","name":"Truncated Lévy flights and agenda-based mobility are useful for the assessment of personal human exposure.","source":"pubmed","abstract":"Receptor-oriented approaches can assess the individual-specific exposure to air pollution. In such an individual-based model we analyse the impact of human mobility to the personal exposure that is perceived by individuals simulated in an exemplified urban area. The mobility models comprise random walk (reference point mobility, RPM), truncated L&#xe9;vy flights (TLF), and agenda-based walk (RPMA). We describe and review the general concepts and provide an inter-comparison of these concepts. Stationary and ergodic behaviour are explained and applied as well as performance criteria for a comparative evaluation of the investigated algorithms. We find that none of the studied algorithm results in purely random trajectories. TLF and RPMA prove to be suitable for human mobility modelling, because they provide conditions for very individual-specific trajectories and exposure. Suggesting these models we demonstrate the plausibility of their results for exposure to air-borne benzene and the combined exposure to benzene and nonane.","url":"https://pubmed.ncbi.nlm.nih.gov/21429644/","authors":["Schlink U","Ragas AM"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2011 Aug-Sep","doi":"10.1016/j.envpol.2011.02.023","addedAt":"2026-08-31T06:39:47.154Z","updatedAt":"2026-08-31T06:39:47.154Z"},{"id":"pmid:21296471","name":"Distribution, availability, and sources of trace metals in different particle size fractions of urban soils in Hong Kong: Implications for assessing the risk to human health.","source":"pubmed","abstract":"The concentration and loading distribution of trace metals (Cu, Zn, Pb, Co, Ni, Cr, and Mn) and major elements (Al, Ca, Fe, and Mg) in different particle size fractions (2000-280, 280-100, 100-50, 50-10, 10-2, and &lt;2 &#x3bc;m) of surface soils from highly urbanized areas in Hong Kong were studied. The enrichment of Pb, Cu, and Zn in the urban soils was strongly influenced by anthropogenic activities, and Pb accumulated in fine particles was mainly derived from past vehicular emissions as shown by Pb isotopic signatures. Trace metals primarily accumulated in clay, fine silt, and very fine sand fractions, and might pose potential health risks via the inhalation of resuspended soil particles in the air (PM10 or PM2.5), and ingestion of adhered soils through the hand-to-mouth pathway. The mobility, bioavailability, and human bioaccessibility of Pb and Zn in bulk soils correlated significantly with metal concentrations in fine silt and/or very fine sand fractions.","url":"https://pubmed.ncbi.nlm.nih.gov/21296471/","authors":["Luo XS","Yu S","Li XD"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2011 May","doi":"10.1016/j.envpol.2011.01.013","addedAt":"2026-08-31T06:39:47.154Z","updatedAt":"2026-08-31T06:39:47.154Z"},{"id":"pmid:21216441","name":"Impact of land use on urban mobility patterns, emissions and air quality in a Portuguese medium-sized city.","source":"pubmed","abstract":"The main objective of this work was to evaluate the impact of urban development trends in mobility patterns of a medium sized Portuguese city and air quality consequences, using a sequential modeling process, comprising i) land use and transportation, TRANUS model; ii) road traffic air pollutants emissions, TREM model and; iii) air quality, TAPM model. This integrated methodology was applied to a medium sized Portuguese city. In order to evaluate the implementation of the methodology, a preliminary study was performed, which consisted on the comparison of modeled mobility patterns and CO and PM(10) concentrations with measured data used in the definition of the current scenario. The comparison between modeled and monitored mobility patterns at the morning peak hour for a weekday showed an RMSE of 31%. Regarding CO concentrations, an underestimation of the modeled results was observed. Nevertheless, the modeled PM(10) concentrations were consistent with the monitored data. Overall, the results showed a reasonable consistency of the modeled data, which allowed the use of the integrated modeling system for the study scenarios. The future scenarios consisted on the definition of different mobility patterns and vehicle technology characteristics, according to two main developing trends: (1) \"car pooling\" scenario, which imposes a mean occupancy rate of 3 passengers by vehicle and (2) the \"Euro 6\" scenario, which establishes that all vehicles accomplish at least the Euro 6 standard technology. Reductions of 54% and 83% for CO, 44% and 95% for PM(10), 44% and 87% for VOC and 44% and 79% for NO(x) emissions were observed in scenarios 1 and 2, respectively. Concerning air quality, a reduction of about 100 &#x3bc;g m(-3) of CO annual average concentration was observed in both scenarios. The results of PM(10) annual concentrations showed a reduction of 1.35 &#x3bc;g m(-3) and 2.7 &#x3bc;g m(-3) for scenarios 1 and 2 respectively.","url":"https://pubmed.ncbi.nlm.nih.gov/21216441/","authors":["Bandeira JM","Coelho MC","Sá ME","Tavares R","Borrego C"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2011 Feb 15","doi":"10.1016/j.scitotenv.2010.12.008","addedAt":"2026-08-31T06:39:47.154Z","updatedAt":"2026-08-31T06:39:47.154Z"},{"id":"pmid:21171623","name":"Formation of nitrogen-containing oligomers by methylglyoxal and amines in simulated evaporating cloud droplets.","source":"pubmed","abstract":"Reactions of methylglyoxal with amino acids, methylamine, and ammonium sulfate can take place in aqueous aerosol and evaporating cloud droplets. These processes are simulated by drying droplets and bulk solutions of these compounds (at low millimolar and 1 M concentrations, respectively) and analyzing the residuals by scanning mobility particle sizing, nuclear magnetic resonance, aerosol mass spectrometry (AMS), and electrospray ionization MS. The results are consistent with imine (but not diimine) formation on a time scale of seconds, followed by the formation of nitrogen-containing oligomers, methylimidazole, and dimethylimidazole products on a time scale of minutes to hours. Measured elemental ratios are consistent with imidazoles and oligomers being major reaction products, while effective aerosol densities suggest extensive reactions take place within minutes. These reactions may be a source of the light-absorbing, nitrogen-containing oligomers observed in urban and biomass-burning aerosol particles.","url":"https://pubmed.ncbi.nlm.nih.gov/21171623/","authors":["De Haan DO","Hawkins LN","Kononenko JA","Turley JJ","Corrigan AL","Tolbert MA","Jimenez JL"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2011 Feb 1","doi":"10.1021/es102933x","addedAt":"2026-08-31T06:39:47.154Z","updatedAt":"2026-08-31T06:39:47.154Z"},{"id":"pmid:21071066","name":"Concentrations of ultrafine particles at a highway toll collection booth and exposure implications for toll collectors.","source":"pubmed","abstract":"Research regarding the magnitude of ultrafine particle levels at highway toll stations is limited. This study measured ambient concentrations of ultrafine particles at a highway toll station from October 30 to November 1 and November 5 to November 6, 2008. A scanning mobility particle sizer was used to measure ultrafine particle concentrations at a ticket/cash tollbooth. Levels of hourly average ultrafine particles at the tollbooth were about 3-6 times higher than those in urban backgrounds, indicating that a considerable amount of ultrafine particles are exhausted from passing vehicles. A bi-modal size distribution pattern with a dominant mode at about &lt;6 nm and a minor mode at about 40 nm was observed at the tollbooth. The high amounts of nanoparticles in this study can be attributed to gas-to-particle reactions in fresh fumes emitted directly from vehicles. The influences of traffic volume, wind speed, and relative humidity on ultrafine particle concentrations were also determined. High ambient concentrations of ultrafine particles existed under low wind speed, low relative humidity, and high traffic volume. Although different factors account for high ambient concentrations of ultrafine particles at the tollbooth, measurements indicate that toll collectors who work close to traffic emission sources have a high exposure risk.","url":"https://pubmed.ncbi.nlm.nih.gov/21071066/","authors":["Cheng YH","Huang CH","Huang HL","Tsai CJ"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2010 Dec 15","doi":"10.1016/j.scitotenv.2010.10.023","addedAt":"2026-08-31T06:39:47.154Z","updatedAt":"2026-08-31T06:39:47.154Z"},{"id":"pmid:20418590","name":"[Traffic patterns regulations to reduce air pollution in the Italian cities participating in the EpiAir Project].","source":"pubmed","abstract":"to provide an overview of the mobility policies implemented by local administrations participating in the EpiAir Project in recent years (2001-2007).","url":"https://pubmed.ncbi.nlm.nih.gov/20418590/","authors":["Nuvolone D","Barchielli A","Forastiere F","Gruppo collaborativo EpiAir"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2009 Nov-Dec","doi":"","addedAt":"2026-08-31T06:39:47.154Z","updatedAt":"2026-08-31T06:39:47.154Z"},{"id":"pmid:20729584","name":"Fate and spatial variations of polybrominated diphenyl ethers in the deposition within a heavily urbanized area: case of Paris (France).","source":"pubmed","abstract":"In this paper, we present the first results on the geochemical cycle of PolyBrominated Diphenyl Ethers (or PBDE) in the Paris Region (France). In order to provide information about the distribution and mobility of eight PBDE congeners, we first determined the level of contamination of different environmental compartments: i.e. atmosphere, soils and waters. Atmospheric PBDE deposition was estimated from a site located in the centre of Paris. Surface soils (0-10 cm) were collected from multiple wooded, rural and urban locations through the Paris Region (12,000 km&#xb2;). To complete our investigation, we measured PBDE concentrations/contents in the runoff from an urban catchment and settleable particles from the Seine River. Hence, gained results showed that in the superficial soils, the highest concentrations of highly brominated congeners were measured in the vicinity of the most urbanized areas whereas less brominated congeners were widespread in the whole Paris Region. This could be explained by the higher affinity of highly brominated congeners for the solid phase substrata coupled with the fact that the atmospheric deposition occurred mainly through particle deposition (close to 90% of the total atmospheric deposition). To the opposite, the less brominated congeners from the superficial soils were readily transferred to the dissolved phase of runoff and could reach more distant terrestrial and aquatic systems. Finally, a mass transfer was established at the scale of the Paris metropolitan city (105 km&#xb2;). It showed that the cycle of PBDE in this particular urban area is highly dynamic with multiple sources and sinks, and rapid transfers between the ecosystem compartments.","url":"https://pubmed.ncbi.nlm.nih.gov/20729584/","authors":["Muresan B","Lorgeoux C","Gasperi J","Moilleron R"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2010","doi":"10.2166/wst.2010.931","addedAt":"2026-08-31T06:39:47.154Z","updatedAt":"2026-08-31T06:39:47.154Z"},{"id":"pmid:20588325","name":"The impact of daily mobility on exposure to traffic-related air pollution and health effect estimates.","source":"pubmed","abstract":"Epidemiological studies of traffic-related air pollution typically estimate exposures at residential locations only; however, if study subjects spend time away from home, exposure measurement error, and therefore bias, may be introduced into epidemiological analyses. For two study areas (Vancouver, British Columbia, and Southern California), we use paired residence- and mobility-based estimates of individual exposure to ambient nitrogen dioxide, and apply error theory to calculate bias for scenarios when mobility is not considered. In Vancouver, the mean bias was 0.84 (range: 0.79-0.89; SD: 0.01), indicating potential bias of an effect estimate toward the null by ~16% when using residence-based exposure estimates. Bias was more strongly negative (mean: 0.70, range: 0.63-0.77, SD: 0.02) when the underlying pollution estimates had higher spatial variation (land-use regression versus monitor interpolation). In Southern California, bias was seen to become more strongly negative with increasing time and distance spent away from home (e.g., 0.99 for 0-2&#x2009;h spent at least 10&#x2009;km away, 0.66 for &#x2265; 10&#x2009;h spent at least 40&#x2009;km away). Our results suggest that ignoring daily mobility patterns can contribute to bias toward the null hypothesis in epidemiological studies using individual-level exposure estimates.","url":"https://pubmed.ncbi.nlm.nih.gov/20588325/","authors":["Setton E","Marshall JD","Brauer M","Lundquist KR","Hystad P","Keller P","Cloutier-Fisher D"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2011 Jan-Feb","doi":"10.1038/jes.2010.14","addedAt":"2026-08-31T06:39:47.154Z","updatedAt":"2026-08-31T06:39:47.154Z"},{"id":"pmid:20417545","name":"Evaluation of human mobility models, for exposure to air pollutants.","source":"pubmed","abstract":"The subject of the present study is to find the best way of making a simulation model for the exposure assessment of mobile individuals. For that purpose we consider and apply several very different approaches to model movement patterns in a more or less random way and compare them in terms of the exposure resulting for the individuals. The models combine random movement with agenda-driven movement. We do not aim to involve all details of real conditions into the models, but explain and review the general concepts and provide an inter-comparison of these concepts. Stationary and ergodic behaviour are explained and applied as well as performance criteria for a comparative evaluation of the investigated algorithms. In particular, the present study investigates the exposure to air contaminants of persons moving in heterogeneously polluted urban areas by help of movement simulations. For that purpose we applied four different movement algorithms: L&#xe9;vy-modulated correlated random walk (LMCRW), Potential field controlled walk (PTW), Reference point mobility model (RPM), and RPM with a pre-defined daily agenda of targets (RPMA). We find that none of the studied algorithm results in purely random trajectories. PTW and RPMA prove to be suitable for human mobility modelling, because they provide conditions for very individual-specific trajectories and exposure. Suggesting these models we demonstrate the plausibility of their results for exposure to air-borne benzene and the combined exposure to benzene and nonane. It appears however that inter-individual variation in the individual-specific short-term exposure diminishes with runtime and when long-term exposure is considered.","url":"https://pubmed.ncbi.nlm.nih.gov/20417545/","authors":["Schlink U","Strebel K","Loos M","Tuchscherer R","Richter M","Lange T","Wernicke J","Ragas A"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2010 Aug 15","doi":"10.1016/j.scitotenv.2010.03.018","addedAt":"2026-08-31T06:39:47.154Z","updatedAt":"2026-08-31T06:39:47.154Z"},{"id":"pmid:20080626","name":"Observations of aminium salts in atmospheric nanoparticles and possible climatic implications.","source":"pubmed","abstract":"We present laboratory studies and field observations that explore the role of aminium salt formation in atmospheric nanoparticle growth. These measurements were performed using the Thermal Desorption Chemical Ionization Mass Spectrometer (TDCIMS) and Ultrafine Hygroscopicity Tandem Differential Mobility Analyzers. Laboratory measurements of alkylammonium-carboxylate salt nanoparticles show that these particles exhibit lower volatilities and only slightly lower hygroscopicities than ammonium sulfate nanoparticles. TDCIMS measurements of these aminium salts showed that the protonated amines underwent minimal decomposition during analysis, with detection sensitivities comparable to those of organic and inorganic deprotonated acids. TDCIMS observations made of a new particle formation event in an urban site in Tecamac, Mexico, clearly indicate the presence of protonated amines in 8-10 nm diameter particles accounting for about 47% of detected positive ions; 13 nm particles were hygroscopic with an average 90% RH growth factor of 1.42. Observations of a new particle formation event in a remote forested site in Hyyti&#xe4;l&#xe4;, Finland, show the presence of aminium ions with deprotonated organic acids; 23% of the detected positive ions during this event are attributed to aminium salts while 10 nm particles had an average 90% RH growth factor of 1.27. Similar TDCIMS observations during events in Atlanta and in the vicinity of Boulder, Colorado, show that aminium salts accounted for 10-35% of detected positive ions. We conclude that aminium salts contribute significantly to nanoparticle growth and must be accounted for in models to accurately predict the impact of new particle formation on climate.","url":"https://pubmed.ncbi.nlm.nih.gov/20080626/","authors":["Smith JN","Barsanti KC","Friedli HR","Ehn M","Kulmala M","Collins DR","Scheckman JH","Williams BJ","McMurry PH"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2010 Apr 13","doi":"10.1073/pnas.0912127107","addedAt":"2026-08-31T06:39:47.154Z","updatedAt":"2026-08-31T06:39:47.154Z"},{"id":"pmid:19928188","name":"Particulate matter induced enhancement of inflammatory markers in the brains of apolipoprotein E knockout mice.","source":"pubmed","abstract":"Exposure to air particulate matter (PM) present in urban environments have been shown to induce systemic prooxidant and proinflammatory effects in apolipoprotein E knockout (ApoE-/-) mice and proinflammatory central nervous system (CNS) effects in BALB/c mice. We hypothesize that ApoE-/- mice would exhibit a greater propensity to develop PM-induced CNS effects due to their greater susceptibility to CNS inflammation. We studied the brains of ApoE-/- mice exposed in a previous study to concentrated air particles of different sizes (fine vs. ultrafine) or filtered-air to evaluate the effect of PM exposure on the development of CNS proinflammatory effects in a genetically susceptible background. This was important because, although the use of nano-sized materials opens an exciting potential for their use as diagnostic or therapeutic tools, not much is known about the possible CNS toxicity of these particles. Neuroinflammation has been shown to exacerbate progression of neurodegeneration. Since the onset and progression of idiopathic forms of neurodegenerative disorders are likely to be multifactorial and involve gene-environment interactions, we determined the possibility of particles in ambient air pollution to enhance neuroinflammation. Our results indicate that in the brain, there was significant modulation in the activation of the transcription factors NF-kappaB and AP-1 after exposure to the ultrafine fractions. Levels of two pro-inflammatory cytokines (TNF-alpha and IL-1alpha) were also increased in the brain of exposed animals and this was independent of the size fraction of PM. Since inflammatory processes have been shown to contribute to the pathology associated with neurodegenerative diseases, it will be important to further evaluate the role ambient particles may play in the potentiation of existing CNS damage and progression of neurodegenerative disorders.","url":"https://pubmed.ncbi.nlm.nih.gov/19928188/","authors":["Campbell A","Araujo JA","Li H","Sioutas C","Kleinman M"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2009 Aug","doi":"10.1166/jnn.2009.gr07","addedAt":"2026-08-31T06:39:47.154Z","updatedAt":"2026-08-31T06:39:47.154Z"},{"id":"pmid:19764239","name":"Measurements of hygroscopicity and volatility of atmospheric ultrafine particles during ultrafine particle formation events at urban, industrial, and coastal sites.","source":"pubmed","abstract":"The tandem differential mobility analyzer (TDMA) technique was applied to determine the hygroscopicity and volatility of atmospheric ultrafine particles in three sites of urban Gwangju, industrial Yeosu, and coastal Taean in South Korea. A database for the hygroscopicity and volatility of the known compositions and sizes of the laboratory-generated particles wasfirst constructed for comparison with the measured properties of atmospheric ultrafine particles. Distinct differences in hygroscopicity and volatility of atmospheric ultrafine particles werefound between a \"photochemical event\" and a \"combustion event\" as well as among different sites. At the Gwangju site, ultrafine particles in the \"photochemical event\" were determined to be more hygroscopic (growth factor (GF) = 1.05-1.33) than those in the \"combustion event\" (GF = 1.02-1.12), but their hygroscopicity was not as high as pure ammonium sulfate or sulfuric acid particles in the laboratory-generated database, suggesting they were internally mixed with less soluble species. Ultrafine particles in the \"photochemical event\" at the Yeosu site, having a variety of SO2, CO, and VOC emission sources, were more hygroscopic (GF = 1.34-1.60) and had a higher amount of volatile species (47-75%)than those observed at the Gwangju site. Ultrafine particle concentration at the Taean site increased during daylight hours with low tide, having a higher GF (1.34-1.80) than the Gwangju site and a lower amount of volatile species (17-34%) than the Yeosu site. Occasionally ultrafine particles were externally mixed according to their hygroscopicity and volatility, and TEM/EDS data showed that each type of particle had a distinct morphology and elemental composition.","url":"https://pubmed.ncbi.nlm.nih.gov/19764239/","authors":["Park K","Kim JS","Park SH"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2009 Sep 1","doi":"10.1021/es900398q","addedAt":"2026-08-31T06:39:47.154Z","updatedAt":"2026-08-31T06:39:47.154Z"},{"id":"pmid:19591538","name":"Particles emitted from indoor combustion sources: size distribution measurement and chemical analysis.","source":"pubmed","abstract":"This study is primarily focused toward measuring the particle size distribution and chemical analysis of particulate matter that originates from combustion sources typically found in Indian urban homes. Four such sources were selected: cigarette, incense stick, mosquito coil, and dhoop, the latter being actually a thick form of incense stick. Altogether, seven of the most popular brands available in the Indian market were tested. Particle size distribution in the smoke was measured using a scanning mobility particle sizer, using both long and nano forms of differential mobility analyzer (DMA), with readings averaged from four to six runs. The measurable particle size range of the nano DMA was 4.6 nm to 157.8 nm, whereas that of the long DMA was 15.7 nm to 637.8 nm. Therefore, readings obtained from the long and the nano DMA were compared for different brands as well as for different sources. An overlap was seen in the readings in the common range of measurement. The lowest value of peak concentration was seen for one brand of incense stick (0.9 x 10(6) cm(-3)), whereas the highest (7.1 x 10(6) cm(-3)) was seen for the dhoop. Generally, these sources showed a peak between 140 and 170 nm; however, 2 incense stick brands showed peaks at 79 nm and 89 nm. The dhoop showed results much different from the rest of the sources, with a mode at around 240 nm. Chemical analysis in terms of three heavy metals (cadmium, zinc, and lead) was performed using graphite tube atomizer and flame-atomic absorption spectrophotometer. Calculations were made to assess the expected cancer and noncancer risks, using published toxicity potentials for these three heavy metals. Our calculations revealed that all the sources showed lead concentrations much below the American Conference of Governmental Industrial Hygienists (ACGIH) threshold limit value (TLV) level. One of the two mosquito coil brands (M(2)) showed cadmium concentrations two times higher than the California Environmental Protection Agency (Cal EPA) reference exposure level (REL). The latter also showed the highest carcinogenic risks of 350 people per million population. The amount of zinc obtained from the sources, however, was found to be quite below the standard limits, implying no risk in terms of zinc.","url":"https://pubmed.ncbi.nlm.nih.gov/19591538/","authors":["Roy AA","Baxla SP","Gupta T","Bandyopadhyaya R","Tripathi SN"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2009 Aug","doi":"10.1080/08958370802538050","addedAt":"2026-08-31T06:39:47.154Z","updatedAt":"2026-08-31T06:39:47.154Z"},{"id":"pmid:19440439","name":"Notes on the particulate matter standards in the European Union and the Netherlands.","source":"pubmed","abstract":"The distribution of Particulate Matter in the atmosphere, resulting from emissions produced by cars, trucks, ships, industrial estates and agricultural complexes, is a topical public health problem that has increased in recent decades due to environmental factors in advanced economies in particular. This contribution relates the health impact caused by concentrations of Particulate Matter (PM) in ambient air to the PM standards, the size of the particles and spatial planning. Diverging impacts of PM standards in legal regulation are discussed. The authors present a review of the development of legal PM standards in the European Union, with a specific reference to The Netherlands.","url":"https://pubmed.ncbi.nlm.nih.gov/19440439/","authors":["Priemus H","Schutte-Postma E"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2009 Mar","doi":"10.3390/ijerph6031155","addedAt":"2026-08-31T06:39:47.154Z","updatedAt":"2026-08-31T06:39:47.154Z"},{"id":"pmid:19418820","name":"Combining regional- and local-scale air quality models with exposure models for use in environmental health studies.","source":"pubmed","abstract":"Population-based human exposure models predict the distribution of personal exposures to pollutants of outdoor origin using a variety of inputs, including air pollution concentrations; human activity patterns, such as the amount of time spent outdoors versus indoors, commuting, walking, and indoors at home; microenvironmental infiltration rates; and pollutant removal rates in indoor environments. Typically, exposure models rely upon ambient air concentration inputs from a sparse network of monitoring stations. Here we present a unique methodology for combining multiple types of air quality models (the Community Multi-Scale Air Quality [CMAQ] chemical transport model added to the AERMOD dispersion model) and linking the resulting hourly concentrations to population exposure models (the Hazardous Air Pollutant Exposure Model [HAPEM] or the Stochastic Human Exposure and Dose Simulation [SHEDS] model) to enhance estimates of air pollution exposures that vary temporally (annual and seasonal) and spatially (at census-block-group resolution) in an urban area. The results indicate that there is a strong spatial gradient in the predicted mean exposure concentrations near roadways and industrial facilities that can vary by almost a factor of 2 across the urban area studied. At the high end of the exposure distribution (95th percentile), exposures are higher in the central district than in the suburbs. This is mostly due to the importance of personal mobility factors whereby individuals living in the central area often move between microenvironments with high concentrations, as opposed to individuals residing at the outskirts of the city. Also, our results indicate 20-30% differences due to commuting patterns and almost a factor of 2 difference because of near-roadway effects. These differences are smaller for the median exposures, indicating the highly variable nature of the reflected ambient concentrations. In conjunction with local data on emission sources, microenvironmental factors, and behavioral and socioeconomic characteristics, the combined source-to-exposure modeling methodology presented in this paper can improve the assessment of exposures in future community air pollution health studies.","url":"https://pubmed.ncbi.nlm.nih.gov/19418820/","authors":["Isakov V","Touma JS","Burke J","Lobdell DT","Palma T","Rosenbaum A","Ozkaynak H"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2009 Apr","doi":"10.3155/1047-3289.59.4.461","addedAt":"2026-08-31T06:39:47.154Z","updatedAt":"2026-08-31T06:39:47.154Z"},{"id":"pmid:19136869","name":"Temperature extremes and health: impacts of climate variability and change in the United States.","source":"pubmed","abstract":"We evaluated temperature-related morbidity and mortality for the 2007 U.S. national assessment on impacts of climate change and variability on human health.","url":"https://pubmed.ncbi.nlm.nih.gov/19136869/","authors":["O'Neill MS","Ebi KL"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2009 Jan","doi":"10.1097/JOM.0b013e318173e122","addedAt":"2026-08-31T06:39:47.154Z","updatedAt":"2026-08-31T06:39:47.154Z"},{"id":"pmid:19044160","name":"Roadside measurements of ultrafine particles at a busy urban intersection.","source":"pubmed","abstract":"A field sampling campaign on ultrafine particles (UFPs, diameter &lt;100 nm) was conducted at a busy traffic intersection from December 2006 to June 2007 in Corpus Christi, TX. This traffic intersection consisted of South Padre Island Drive (SPID, Highway 358) and Staples Street. Traffic densities on SPID were 9102/hr and 7880/hr for weekdays and weekends, respectively. Staples Street traffic densities were 2795/hr and 2572/hr, respectively. There were approximately 3.7% heavy-duty diesel vehicles (HDDVs) on both roadways. Peak traffic flows occurred early in the morning and late in the evening during weekdays and around noon on weekends. The average UFP total number concentration collected by a condensation particle counter (CPC 3785; TSI) was 66 x 10(3) cm(-3). A direct relationship between the UFP number concentration and traffic density was observed, but the HDDV traffic density was found to be a better estimator of the UFP number concentration than total traffic density. A scanning mobility particle sizer (SMPS 3936 with DMA 3081 and CPC 3785, TSI) measuring the particle size distribution from 7 to 290 nm was rotated among four corners of the intersection. The upwind and downwind size distributions were both bimodal in shape, exhibiting a nucleation mode at 10-30 nm and a secondary mode at 50-70 nm. The highest and lowest particle concentrations were observed on the downwind and upwind sides of both roadways, respectively, indicating the importance of wind direction. Wind speed also played an important role in overall particle concentrations; UFP concentrations were inversely proportional to wind speed. A negative correlation was observed between particle number concentrations and ambient temperature. The particle number concentration was 3.5 times greater when traffic was idling at a red light than moving at a green light.","url":"https://pubmed.ncbi.nlm.nih.gov/19044160/","authors":["Wang Y","Zhu Y","Salinas R","Ramirez D","Karnae S","John K"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2008 Nov","doi":"10.3155/1047-3289.58.11.1449","addedAt":"2026-08-31T06:39:47.154Z","updatedAt":"2026-08-31T06:39:47.154Z"},{"id":"pmid:18728893","name":"Quality control and quality assurance for particle size distribution measurements at an urban monitoring station in Augsburg, Germany.","source":"pubmed","abstract":"Long-term observations of atmospheric constituents such as aerosol particles are increasingly needed to assess their impact on climate and human health. In contrast to particle mass concentration (MC), there are currently no standardized quality control (QC) and quality assurance (QA) procedures for the measurement of particle size distribution (PSD). This study describes some fundamental QC and QA procedures associated with the collection and evaluation of a 2 year dataset between 2005 and 2006 at an urban background monitoring site in Augsburg, Germany. The considered parametres include ambient PSD between 3 nm and 10 microm (merged from a twin differential mobility and an aerodynamic particle sizer, TDMPS and APS, respectively) as well as total particle number (TNC), length (LC) and MC determined by independent instruments. The hourly 1st and 0th moment of PSD showed good correlations with the independently measured LC (R(2) = 0.86) and TNC (R(2) = 0.79), respectively, the deviation for LC with 4% and for TNC with 22% being rather small. The volume concentration (3rd moment) of hourly measured PSD and the resultant MC (when assuming a realistic apparent density of 1.5 g cm(-3)) correlated well with the independently measured MC of PM(2.5) or PM(10) (R(2) &gt; 0.86) and showed only small deviation from PM(2.5) (1%) or PM(10) (5%), respectively. The study demonstrates that the described QC and QA measures define both a high accuracy of the PSD measurements and their long-term comparability against data obtained in similar measurement programmes.","url":"https://pubmed.ncbi.nlm.nih.gov/18728893/","authors":["Pitz M","Birmili W","Schmid O","Peters A","Wichmann HE","Cyrys J"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2008 Sep","doi":"10.1039/b807264g","addedAt":"2026-08-31T06:39:47.154Z","updatedAt":"2026-08-31T06:39:47.154Z"},{"id":"pmid:18534662","name":"Effect of wind direction and speed on the dispersion of nucleation and accumulation mode particles in an urban street canyon.","source":"pubmed","abstract":"There have been many studies concerning dispersion of gaseous pollutants from vehicles within street canyons; fewer address the dispersion of particulate matter, particularly particle number concentrations separated into the nucleation (10-30 nm or N10-30) or accumulation (30-300 nm or N30-300) modes either separately or together (N10-300). This study aimed to determine the effect of wind direction and speed on particle dispersion in the above size ranges. Particle number distributions (PNDs) and concentrations (PNCs) were measured in the 5-2738 nm range continuously (and in real-time) for 17 days between 7th and 23rd March 2007 in a regular (aspect ratio approximately unity) street canyon in Cambridge (UK), using a newly developed fast-response differential mobility spectrometer (sampling frequency 0.5 Hz), at 1.60 m above the road level. The PNCs in each size range, during all wind directions, were better described by a proposed two regime model (traffic-dependent and wind-dependent mixing) than by simply assuming that the PNC was inversely proportional to the wind speed or by fitting the data with a best-fit single power law. The critical cut-off wind speed (Ur,crit) for each size range of particles, distinguishing the boundary between these mixing regimes was also investigated. In the traffic-dependent PNC region (UrUr&lt;&lt;Ur,critUr,crit), concentrations in each size range were approximately constant and independent of wind speed and direction. In the wind speed dependent PNC region (UrUr&gt;&gt;Ur,critUr,crit), concentrations were inversely proportional to Ur irrespective of any particle size range and wind directions. The wind speed demarcating the two regimes (Ur,critUr,crit) was 1.23+/-0.55 m s(-1) for N10-300, (1.47+/-0.72 m s(-1)) for N10-30 but smaller (0.78+/-0.29 m s(-1)) for N30-300.","url":"https://pubmed.ncbi.nlm.nih.gov/18534662/","authors":["Kumar P","Fennell P","Britter R"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2008 Aug 25","doi":"10.1016/j.scitotenv.2008.04.032","addedAt":"2026-08-31T06:39:47.154Z","updatedAt":"2026-08-31T06:39:47.154Z"},{"id":"pmid:18393539","name":"Feasibility of analyzing fine particulate matter in air using solid-phase extraction membranes and dynamic subcritical water extraction.","source":"pubmed","abstract":"We have evaluated the feasibility of using Empore solid-phase extraction (SPE) membranes as an alternative to conventional techniques for sampling fine airborne particulate matter (PM), including nanoparticles, utilizing a scanning mobility particle sizer (SMPS) and a condensation particle counter to evaluate their efficiency for trapping fine particles in the 10-800 nm size range. The results demonstrate that the membranes can efficiently trap these particles and can then be conveniently packed into an extraction cell and extracted under matrix solid-phase dispersion (MSPD) conditions. The potential utility of sampling PM using Empore membranes followed by dynamic subcritical water extraction (DSWE) for fast, efficient, class-selective extraction of polycyclic aromatic hydrocarbons (PAHs) associated with the particles, prior to changing the solvent and analysis by GC/MS, was then explored. The performance of the method was tested using National Institute of Standards and Technology (NIST)-certified \"urban dust\" reference material (SRM 1649a) and real samples collected at a site in central Rome with heavy road traffic. The method appears to provide comparable extraction efficiency to that of conventional techniques and with using GC/MS, detection limits ranged in the few picograms per cubic meter level. Sampling PM by Empore membranes may reduce the risks of losses of semivolatile compounds, while allowing relatively high sampling flow rates and safe sample storage. Moreover, the combination of MSPD with DSWE permits specific fractions of the PM components to be eluted, thereby generating clean extracts and reducing both analysis time and sample manipulation.","url":"https://pubmed.ncbi.nlm.nih.gov/18393539/","authors":["Tollbäck J","Bigatá MB","Crescenzi C","Ström J"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2008 May 1","doi":"10.1021/ac7021458","addedAt":"2026-08-31T06:39:47.154Z","updatedAt":"2026-08-31T06:39:47.154Z"},{"id":"pmid:18193907","name":"Self-stratified films obtained from poly(methyl methacrylate/n-butyl acrylate) colloidal dispersions containing poly(vinyl alcohol): a spectroscopic study.","source":"pubmed","abstract":"These studies focus on the role of poly(vinyl alcohol) (pVOH) during colloidal synthesis of poly(methyl methacrylate/n-butyl acrylate) (pMMA/nBA) and its effect on particle coalescence. Using 2D photoacoustic FT-IR spectroscopy and internal reflection IR imaging, we showed that the presence of pVOH creates competing environments between the copolymer particle surfaces, aqueous phases, and dispersing agents which results in migration and self-induced stratification occurring during coalescence. pMMA/nBA/pVOH films stratify to form sodium dodecyl sulfate rich film-air interfaces, and the -SO3- moieties exhibit preferential parallel orientation with respect to the surface. At the same time, the bulk of the film is dominated by intramolecular hydrogen bonding between the pVOH phase and the copolymer matrix. This behavior is attributed to significant interactions between pVOH and pMMA/nBA, resulting in limited mobility of pVOH.","url":"https://pubmed.ncbi.nlm.nih.gov/18193907/","authors":["Rhudy KL","Su S","Howell HR","Urban MW"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2008 Mar 4","doi":"10.1021/la702881h","addedAt":"2026-08-31T06:39:47.154Z","updatedAt":"2026-08-31T06:39:47.154Z"},{"id":"pmid:17997474","name":"Measurements of particles in the 5-1000 nm range close to road level in an urban street canyon.","source":"pubmed","abstract":"A newly developed instrument, the 'fast response differential mobility spectrometer (DMS500)', was deployed to measure the particles in the 5-1000 nm range in a Cambridge (UK) street canyon. Measurements were taken for 7 weekdays (from 09:00 to 19:00 h) between 8 and 21 June 2006 at three heights close to the road level (i.e. 0.20 m, 1.0 m and 2.60 m). The main aims of the measurements were to investigate the dependence of particle number distributions (PNDs) and concentrations (PNCs) and their vertical variations on wind speed, wind direction, traffic volume, and to estimate the particle number flux (PNF) and the particle number emission factors (PNEF) for typical urban streets and driving conditions. Traffic was the main source of particles at the measurement site. Measured PNCs were inversely proportional to the reference wind speed and directly proportional to the traffic volume. During the periods of cross-canyon flow the PNCs were larger on the leeward side than the windward side of the street canyon showing a possible effect of the vortex circulation. The largest PNCs were unsurprisingly near to road level and the pollution sources. The PNCs measured at 0.20 m and 1.0 m were the same to within 0.5-12.5% indicating a well-mixed region and this was presumably due to the enhanced mixing from traffic produced turbulence. The PNCs at 2.60 m were lower by 10-40% than those at 0.20 m and 1.0 m, suggesting a possible concentration gradient in the upper part of the canyon. The PNFs were estimated using an idealised and an operational approach; they were directly proportional to the traffic volume confirming the traffic to be the main source of particles. The PNEF were estimated using an inverse modelling technique; the reported values were within a factor of 3 of those published in similar studies.","url":"https://pubmed.ncbi.nlm.nih.gov/17997474/","authors":["Kumar P","Fennell P","Britter R"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2008 Feb 15","doi":"10.1016/j.scitotenv.2007.10.013","addedAt":"2026-08-31T06:39:47.154Z","updatedAt":"2026-08-31T06:39:47.154Z"},{"id":"pmid:17993129","name":"Chemical closure study on hygroscopic properties of urban aerosol particles in Sapporo, Japan.","source":"pubmed","abstract":"To assess the link between hygroscopicity of atmospheric particles and the chemical composition, we performed a chemical closure study on the hygroscopicity of organic-inorganic mixed particles nebulized from water extracts of ambient aerosols collected in Sapporo, Japan during summer 2005. The hygroscopicity of 100 nm particles was measured using a hygroscopicity tandem differential mobility analyzer (HTDMA) at 5-95% relative humidity. The chemical analyses of the extracts showed that inorganic salts accounted for 32-84% of the water-soluble fraction and that the remaining was water-soluble organic matter (WSOM). The liquid water content (LWC) of particles was primarily governed by the relative abundance of inorganic salts in particles. The chemical closure with a thermodynamic model did not indicate a significant perturbation of LWC by WSOM at 85% RH with the consideration of the uncertainties estimated. However, a positive perturbation by WSOM was suggested at 50% RH. Individual oxygenated compounds identified using gas chromatography were not abundant enough to substantially increase the LWC at 85% RH.","url":"https://pubmed.ncbi.nlm.nih.gov/17993129/","authors":["Aggarwal SG","Mochida M","Kitamori Y","Kawamura K"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2007 Oct 15","doi":"10.1021/es063092m","addedAt":"2026-08-31T06:39:47.154Z","updatedAt":"2026-08-31T06:39:47.154Z"},{"id":"pmid:17108895","name":"Daily mortality and particulate matter in different size classes in Erfurt, Germany.","source":"pubmed","abstract":"The link between elevated concentrations of ambient particulate matter (PM) and increased mortality has been investigated in numerous studies. Here we analyzed the role of different particle size fractions with respect to total and cardio-respiratory mortality in Erfurt, Germany, between 1995 and 2001. Number concentrations (NC) of PM were measured using an aerosol spectrometer consisting of a Differential Mobility Particle Sizer and a Laser Aerosol Spectrometer to characterize particles between 0.01 and 0.5 and between 0.1 and 2.5 microm, respectively. We derived daily means of particle NC for ultrafine (0.01-0.1 microm) and for fine particles (0.01-2.5 microm). Assuming spherical particles of a constant density, we estimated the mass concentrations (MC) of particles in these size ranges. Concurrently, data on daily total and cardio-respiratory death counts were obtained from local health authorities. The data were analyzed using Poisson Generalized Additive Models adjusting for trend, seasonality, influenza epidemics, day of the week, and meteorology using smooth functions or indicator variables. We found statistically significant associations between elevated ultrafine particle (UFP; diameter: 0.01-0.1 microm) NC and total as well as cardio-respiratory mortality, each with a 4 days lag. The relative mortality risk (RR) for a 9748 cm(-3) increase in UFP NC was RR=1.029 and its 95% confidence interval (CI)=1.003-1.055 for total mortality. For cardio-respiratory mortality we found: RR=1.031, 95% CI: 1.003-1.060. No association between fine particle MC and mortality was found. This study shows that UFP, representing fresh combustion particles, may be an important component of urban air pollution associated with health effects.","url":"https://pubmed.ncbi.nlm.nih.gov/17108895/","authors":["Stölzel M","Breitner S","Cyrys J","Pitz M","Wölke G","Kreyling W","Heinrich J","Wichmann HE","Peters A"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2007 Aug","doi":"10.1038/sj.jes.7500538","addedAt":"2026-08-31T06:39:47.154Z","updatedAt":"2026-08-31T06:39:47.154Z"},{"id":"pmid:17028103","name":"August 2003 heat wave in France: risk factors for death of elderly people living at home.","source":"pubmed","abstract":"The August 2003 heat wave in France resulted in many thousands of excess deaths particularly of elderly people. Individual and environmental risk factors for death among the community-dwelling elderly were identified. We conducted a case-control survey and defined cases as people aged 65 years and older who lived at home and died from August 8 through August 13 from causes other than accident, suicide, or surgical complications. Controls were matched with cases for age, sex, and residential area. Interviewers used questionnaires to collect data. Satellite pictures provided profiles of the heat island characteristics around the homes. Lack of mobility was a major risk factor along with some pre-existing medical conditions. Housing characteristics associated with death were lack of thermal insulation and sleeping on the top floor, right under the roof. The temperature around the building was a major risk factor. Behaviour such as dressing lightly and use of cooling techniques and devices were protective factors. These findings suggest people with pre-existing medical conditions were likely to be vulnerable during heat waves and need information on how to adjust daily routines to heat waves. In the long term, building insulation and urban planning must be adapted to provide protection from possible heat waves.","url":"https://pubmed.ncbi.nlm.nih.gov/17028103/","authors":["Vandentorren S","Bretin P","Zeghnoun A","Mandereau-Bruno L","Croisier A","Cochet C","Ribéron J","Siberan I","Declercq B","Ledrans M"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2006 Dec","doi":"10.1093/eurpub/ckl063","addedAt":"2026-08-31T06:39:47.154Z","updatedAt":"2026-08-31T06:39:47.154Z"},{"id":"pmid:16889378","name":"Energy and emission benefits of alternative transportation liquid fuels derived from switchgrass: a fuel life cycle assessment.","source":"pubmed","abstract":"We conducted a mobility chains, or well-to-wheels (WTW), analysis to assess the energy and emission benefits of cellulosic biomass for the U.S. transportation sector in the years 2015-2030. We estimated the life-cycle energy consumption and emissions associated with biofuel production and use in light-duty vehicle (LDV) technologies by using the Greenhouse gases, Regulated Emissions, and Energy use in Transportation (GREET) model. Analysis of biofuel production was based on ASPEN Plus model simulation of an advanced fermentation process to produce fuel ethanol/protein, a thermochemical process to produce Fischer-Tropsch diesel (FTD) and dimethyl ether (DME), and a combined heat and power plant to co-produce steam and electricity. Our study revealed that cellulosic biofuels as E85 (mixture of 85% ethanol and 15% gasoline by volume), FTD, and DME offer substantial savings in petroleum (66-93%) and fossil energy (65-88%) consumption on a per-mile basis. Decreased fossil fuel use translates to 82-87% reductions in greenhouse gas emissions across all unblended cellulosic biofuels. In urban areas, our study shows net reductions for almost all criteria pollutants, with the exception of carbon monoxide (unchanged), for each of the biofuel production option examined. Conventional and hybrid electric vehicles, when fueled with E85, could reduce total sulfur oxide (SO(x)) emissions to 39-43% of those generated by vehicles fueled with gasoline. By using bio-FTD and bio-DME in place of diesel, SO(x) emissions are reduced to 46-58% of those generated by diesel-fueled vehicles. Six different fuel production options were compared. This study strongly suggests that integrated heat and power co-generation by means of gas turbine combined cycle is a crucial factor in the energy savings and emission reductions.","url":"https://pubmed.ncbi.nlm.nih.gov/16889378/","authors":["Wu M","Wu Y","Wang M"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2006 Jul-Aug","doi":"10.1021/bp050371p","addedAt":"2026-08-31T06:39:47.154Z","updatedAt":"2026-08-31T06:39:47.154Z"},{"id":"pmid:16758287","name":"Biochemical and ultrastructural changes in plant foliage exposed to auto-pollution.","source":"pubmed","abstract":"Auto-pollution is the by-product of our mechanized mobility, which adversely affects both plant and human life. However, plants growing in the urban locations provide a great respite to us from the brunt of auto-pollution by absorbing the pollutants at their foliar surface. Foliar surface configuration and biochemical changes in two selected plant species, namely Ficus religiosa L. and Thevetia nerifolia L., growing at IT crossing (highly polluted sites), Picup bhawan crossing (moderately polluted site) and Kukrail Forest Picnic Spot (Low polluted site) were investigated. It was observed that auto-exhaust pollution showed marked alterations in photosynthetic pigments, protein and cysteine contents and also in leaf area and foliar surface architecture of plants growing at HP site as compared to LP site. The changes in the foliar configuration reveal that these plants can be used as biomarkers of auto-pollution.","url":"https://pubmed.ncbi.nlm.nih.gov/16758287/","authors":["Verma A","Singh SN"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2006 Sep","doi":"10.1007/s10661-005-9105-5","addedAt":"2026-08-31T06:39:47.154Z","updatedAt":"2026-08-31T06:39:47.154Z"},{"id":"pmid:16741810","name":"Understanding urban vehicular pollution problem vis-a-vis ambient air quality--case study of a megacity (Delhi, India).","source":"pubmed","abstract":"Air pollution has become a growing problem in megacities and large urban areas through out the globe, and transportation is recognized as the major source of air pollution in many cities, especially in developing countries. Contribution of automobiles is reported in the range of 40 to 80% of the total air pollution. The challenge facing megacities is how to reduce the adverse environmental impacts and other negative effects of transportation without giving up the benefits of mobility. The dilemma becomes most pressing under conditions of rapid urban growth, which is likely to increase travel demand significantly. The paper is aimed at understanding the problem of vehicular pollution vis-a-vis ambient air quality for a highly traffic affected megacity, Delhi, wherein, the contribution of transport sector was estimated to be as high as 72%. An effort has been made to review and evaluate the benefits (in terms of improved air quality) of the technological interventions/policies adopted for vehicular pollution control in Delhi. It also highlights the outcome of the efforts and suggests further improvements thereon. The importance of public participation and awareness are also discussed. The paper focuses on deriving the benefits of the implementation of management strategies, supported by scientific and technical data/interpretation, so that the people can realize and participate in the government's endeavor for clean city drive in a more effective manner.","url":"https://pubmed.ncbi.nlm.nih.gov/16741810/","authors":["Goyal SK","Ghatge SV","Nema P","M Tamhane S"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2006 Aug","doi":"10.1007/s10661-005-9043-2","addedAt":"2026-08-31T06:39:47.154Z","updatedAt":"2026-08-31T06:39:47.154Z"},{"id":"pmid:16364287","name":"Mobility assessment and validation of toxic elements in tunnel dust samples--subway and road using sequential chemical extraction and ICP-OES/GF AAS measurements.","source":"pubmed","abstract":"The modified BCR three step sequential extraction procedure has been applied to homogenized urban dust samples collected in sedimentation chambers of two Prague tunnels (road, Letna, subway, and station Museum), and to SRM 1648 urban particulate matter (NIST) to validate the applicability of the procedure. Analyte concentrations in the fourth step were calculated from the total content of analytes determined and verified before, in case of the SRM 1648 certified values have been utilized. Concentrations of chosen elements As, Cd, Cr, Mn, Ni, Pb, Zn (Cu, Fe) in each fraction were measured by ICP-OES and GF AAS (arsenic determination) methods. The work has been focused on (i) levels investigation of toxic elements in dust samples and their distribution following a three-stage sequential extraction procedure, (ii) finding differences between two tunnel samples utilizing the estimation of mobility of trace elements, some macro-component comparisons and main mineralogical phases determinations by XRD analysis, (iii) validation of the proposed procedure using SRM 1648 Urban Particulate Matter (NIST) and comparative data obtained by a capillary electrophoresis (CE) method.","url":"https://pubmed.ncbi.nlm.nih.gov/16364287/","authors":["Sysalova J","Szakova J"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2006 Jul","doi":"10.1016/j.envres.2005.10.001","addedAt":"2026-08-31T06:39:47.154Z","updatedAt":"2026-08-31T06:39:47.154Z"},{"id":"pmid:16295172","name":"Blackout 2003: preparedness and lessons learned from the perspectives of four hospitals.","source":"pubmed","abstract":"The blackout in North America of August 2003 was one of the worst on record. It affected eight US states and parts of Canada for &gt;24 hours. Additionally, two large US cities, Detroit, Michigan and Cleveland, Ohio, suffered from a loss of water pressure and a subsequent ban on the use of public supplies of potable water that lasted four days. A literature review revealed a paucity of literature that describes blackouts and how they may affect the medical community.","url":"https://pubmed.ncbi.nlm.nih.gov/16295172/","authors":["Klein KR","Rosenthal MS","Klausner HA"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2005 Sep-Oct","doi":"10.1017/s1049023x00002818","addedAt":"2026-08-31T06:39:47.154Z","updatedAt":"2026-08-31T06:39:47.154Z"},{"id":"pmid:16153099","name":"Film formation from colloidal dispersions stabilized by sugar derivatives and their controllable release for selective protein adsorption.","source":"pubmed","abstract":"Although the use of sugar and sugar derivatives has been documented in polymer research for many years, there are no reports that would utilize these species as polymerization sites of colloidal polymeric particles that, later on, may be released during particle coalescence to form films with surfaces that differentiate protein adsorption. These studies show that, when n-dodecyl-beta-D-maltoside (DDM) is utilized for the synthesis and stabilization of poly[methyl methacrylate-co-(n-butyl acrylate)] (p-MMA/nBA) colloidal particles, upon particle coalescence DDM stratifies near the film-air (F-A) interface. By using attenuated total reflectance Fourier transform infrared (ATR FT-IR) spectroscopy and internal reflection infrared imaging (IRIRI), comparative adsorption studies on p-MMA/nBA surfaces exposed to globulin (Glo), fibrinogen (Fib), and bovine serum albumin (BSA) reveal that the presence of DDM selectively inhibits Glo and Fib adsorption, but does not affect BSA. The presence of DDM also enhances the rate of mobility of sodium dioctylsulfosuccinate (SDOSS) resulting from interactions between DDM and SDOSS moieties, and the surface morphologies change as a result of concentration variations of DDM in the colloidal dispersions.","url":"https://pubmed.ncbi.nlm.nih.gov/16153099/","authors":["Bae WS","Lestage DJ","Proia M","Heinhorst S","Urban MW"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2005 Sep-Oct","doi":"10.1021/bm050337z","addedAt":"2026-08-31T06:39:47.154Z","updatedAt":"2026-08-31T06:39:47.154Z"},{"id":"pmid:16020033","name":"Reanalysis of the Harvard Six Cities Study, part II: sensitivity analysis.","source":"pubmed","abstract":"Following the validation and replication of the Harvard Six Cities Study (Krewski et al., this issue), we conducted a wide range of sensitivity analyses to explore the observed associations between long-term exposure to fine particle or sulfate air pollution and mortality. We examined the impact of alternative risk models on estimates of risk, taking into account covariates not included in the original analyses. These risk models provided a basis for identifying covariates that may confound or modify the association between fine particle or sulfate air pollution and mortality, and for identifying sensitive population subgroups. The possibility of confounding due to occupational exposures was also investigated. Residence histories were coded for the study subjects and were used to examine temporal patterns of exposure and risk. Our sensitivity analyses showed the mortality risk estimates for fine particle and sulfate air pollution to be highly robust against alternative risk models of the Cox proportional hazards family, including models with additional covariates from the original questionnaires not included in the original published analyses. There was limited evidence of departures from the proportional hazards assumption. Flexible exposure-response models provided some evidence of departures from linearity at both low and high sulfate concentrations. Incorporating information on changes over time in cigarette smoking and body mass index had little effect on the association between fine particles and mortality. There was limited evidence of variation in risk with attained age, gender, smoking status, occupational exposure to dust and fumes, marital status, heart or lung diseases, or lung function. However, air pollution risk did appear to decreasing with increasing educational attainment. Extensive adjustment for occupation using aggregate indices of occupational \"dirtiness\" and occupational exposure to known lung carcinogens had little impact on the mortality risks associated with particulate air pollution. Our evaluation of population mobility indicated that relatively few subjects moved from their original city of residence. Attempts to identify critical exposure time windows were limited by the lack of marked interindividual variation in temporal exposure patterns throughout the study period. Overall, this extensive sensitivity analysis both supported the conclusions reached by the original investigators and demonstrated the robustness of these conclusions to alternative analytic approaches.","url":"https://pubmed.ncbi.nlm.nih.gov/16020033/","authors":["Krewski D","Burnett RT","Goldberg M","Hoover K","Siemiatycki J","Abrahamowicz M","Villeneuve PJ","White W"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2005 Jun-Jul","doi":"10.1080/08958370590929439","addedAt":"2026-08-31T06:39:47.154Z","updatedAt":"2026-08-31T06:39:47.154Z"},{"id":"pmid:16008384","name":"Stimuli-responsive surface localized ionic cluster (SLICs) formation from nonspherical colloidal particles.","source":"pubmed","abstract":"Structural features of phospholipids provide a unique opportunity for utilizing these amphiphilic species to stabilize the synthesis of colloidal dispersion particles by controlling concentration levels relative to dispersion synthesis components. 1,2-Bis(10,12-tricosadiynoyl)-sn-glycero-3-phosphocholine (DCPC) phospholipid was utilized as cosurfactant in the synthesis of sodium dioctyl sulfosuccinate (SDOSS) stabilized methyl methacrylate/n-butyl acrylate (MMA/nBA) colloidal dispersions. Aqueous dispersions containing various concentration levels of DCPC result in the formation of cocklebur particle morphologies, and when prepared in the presence of Ca2+ and annealed at various temperatures, stimuli-responsive behaviors of coalesced films were elucidated. The formation of surface localized ionic clusters (SLICs) at the film-air (F-A) and film-substrate (F-S) interfaces is shown to be responsive to concentration levels of DCPC, Ca2+/DCPC ratios, and temperature. These studies show that it is possible to control stratification and mobility to the F-A and F-S interfaces during and after coalescence. Using attenuated total reflectance Fourier transform infrared (ATR-FTIR) and internal reflection infrared imaging (IRIRI) spectroscopies, molecular entities responsible for SLIC formation were determined. These studies also show that stimuli-responsive behaviors during film formation can be controlled by colloidal solution morphologies and synergistic interactions of individual components.","url":"https://pubmed.ncbi.nlm.nih.gov/16008384/","authors":["Lestage DJ","Urban MW"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2005 Jul 19","doi":"10.1021/la050084v","addedAt":"2026-08-31T06:39:47.154Z","updatedAt":"2026-08-31T06:39:47.154Z"},{"id":"pmid:15877379","name":"Stimuli-responsive surfactant/phospholipid stabilized colloidal dispersions and their film formation.","source":"pubmed","abstract":"Methyl methacrylate (MMA) and n-butyl acrylate (nBA) were copolymerized into stable colloidal particles in the presence of micelle forming sodium dioctyl sulfosuccinate (SDOSS) and liposome forming 1,2-dilauroyl-sn-glycero-3-phosphocholine (DLPC) in aqueous media that serve as thermodynamically stable loci for lipophilic monomers and nanostructured templates. These studies show for the first time that hollow colloidal particles may coalesce to form polymeric films and the combination of SDOSS and DLPC dispersing agents provides a stimuli-responsive environment during film formation through which individual surface stabilizing components can be driven to the film-air (F-A) or film-substrate (F-S) interface. Attenuated total reflectance Fourier transform infrared spectroscopy (ATR-FTIR) of p-MMA/nBA colloidal dispersions revealed preferential and enhanced mobility of SDOSS and DLPC lipid rafts to the F-A and F-S interfaces in response to thermal, ionic, and enzymatic stimuli.","url":"https://pubmed.ncbi.nlm.nih.gov/15877379/","authors":["Lestage DJ","Yu M","Urban MW"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2005 May-Jun","doi":"10.1021/bm049195j","addedAt":"2026-08-31T06:39:47.154Z","updatedAt":"2026-08-31T06:39:47.154Z"},{"id":"pmid:15544373","name":"Surface self-assembly of fluorosurfactants during film formation of MMA/nBA colloidal dispersions.","source":"pubmed","abstract":"These studies focus on the behavior of fluorosurfactants (FS) containing hydrophobic and ionic entities in the presence of methyl methacrylate/n-butyl acrylate (MMA/nBA) colloidal dispersions stabilized by sodium dodecyl sulfate (SDS). The presence of FS significantly not only alters the mobility of SDS in MMA/nBA films, but their hydrophobic and ionic nature results in self-assembly near the film-air (F-A) interface leading to different surface morphologies. Spherical islands and rodlike morphologies are formed which diminish the kinetic coefficient of friction of films by at least 3 orders of magnitude, and the presence of dual hydrophobic tails and an anionic head appears to have the largest effect on the surface friction. Using internal reflection IR imaging, these studies show that structural and chemical features of FS are directly related to their ability to migrate to the F-A interface and self-assemble to form specific morphological features. While the anionic nature of FS allows for SDS migration to the F-A interface and the formation of stable domains across the surface, intermolecular cohesion of nonionic FS allows for the formation of rodlike structures due to inability to form mixed micelles with SDS. These studies also establish the relationship between surface morphologies, kinetic coefficient of friction, and structural features of surfactants in the complex environments.","url":"https://pubmed.ncbi.nlm.nih.gov/15544373/","authors":["Dreher WR","Urban MW"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2004 Nov 23","doi":"10.1021/la049494u","addedAt":"2026-08-31T06:39:47.154Z","updatedAt":"2026-08-31T06:39:47.154Z"},{"id":"pmid:15301484","name":"Stimuli-responsive surface crystallization of phospholipids from bimodal colloidal particles.","source":"pubmed","abstract":"These studies focus on the effect of phospholipids in the presence of ionic surfactants on the behavior of poly(methylmethactrylate/n-butyl acrylate) (p-MMA/nBA) colloidal particles during film formation. With the presence of two surfactants, it is possible to obtain particles that exhibit two distinct particle sizes. The presence of hydrogenated soybean phosphatidylcholine (HSPC) and sodium dioctyl sulfosuccinate (SDOSS), which stabilize these bimodal colloidal dispersions, has a significant effect on the mobility of individual components during coalescence. Specifically, the presence of HSPC inhibits migration of SDOSS to the film-air (F-A) interface. Furthermore, the presence of electrolyte species such as aqueous CaCl2 has a very pronounced effect on film formation. When the Ca2+/HSPC ratio is 0.1/1.0, SDOSS is released to the F-A interface during coalescence. At 2.0/1.0 Ca2+/HSPC, HSPC diffuses to the F-A interface and crystalline domains consisting of HSPC are formed. This stimuli-responsive behavior is confirmed using IRIR imaging that ultimately exhibits different surface morphologies. These studies illustrate for the first time that it is possible to control the release of two different surface-active species during coalescence that form crystalline domains.","url":"https://pubmed.ncbi.nlm.nih.gov/15301484/","authors":["Lestage DJ","Schleis DJ","Urban MW"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2004 Aug 17","doi":"10.1021/la0359171","addedAt":"2026-08-31T06:39:47.154Z","updatedAt":"2026-08-31T06:39:47.154Z"},{"id":"pmid:15204791","name":"On-road exposure to highway aerosols. 1. Aerosol and gas measurements.","source":"pubmed","abstract":"On-road experiments were conducted to determine the sensitivities of rats to real-world aerosol. This article summarizes the on-road aerosol and gas measurements and provides background information for the companion paper on the rat exposures. Measurements were carried out over 10 days, 6 h/day, driving a route from Rochester to Buffalo. Aerosol instrumentation used in this study included two scanning mobility particle sizers (SMPS) to determine the aerosol size distribution from 10 to 300 nm, 2 stand-alone condensation particle counters to determine the total aerosol number concentration, and an electrical aerosol detector to determine the aerosol length concentration. A thermal denuder (TD) was used with one of the SMPS instruments to determine the size distribution of the non-volatile fraction. Filter samples were collected and analyzed for elemental carbon, and gas analyzers measured ambient levels of CO, CO(2), and NO. Average daily total aerosol number concentration ranged from 200,000 to 560,000 particles/cm(3). Past studies on urban highways have measured total number concentrations ranging between 10(4) and 10(6) particles/cm(3). The average daily NO concentration ranged from 0.10 to 0.24 ppm and the corresponding CO(2) concentration ranged from 400 to 420 ppm. The average daily geometric number mean particle size determined by the SMPS ranged from 15 to 20 nm. The TD reduced the average SMPS number concentration between 87 and 95% and the SMPS volume between 54 and 83%, suggesting that most of the particles consisted of volatile material. The TD also increased the geometric number mean diameter from 15 to 20 nm to 30 to 40 nm.","url":"https://pubmed.ncbi.nlm.nih.gov/15204791/","authors":["Kittelson DB","Watts WF","Johnson JP","Remerowki ML","Ische EE","Oberdörster G","Gelein RM","Elder A","Hopke PK","Kim E","Zhao W","Zhou L","Jeong CH"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2004","doi":"10.1080/08958370490443024","addedAt":"2026-08-31T06:39:47.154Z","updatedAt":"2026-08-31T06:39:47.154Z"},{"id":"pmid:14740737","name":"Analysis of ambient particle size distributions using Unmix and positive matrix factorization.","source":"pubmed","abstract":"Hourly averaged particle size distributions measured at a centrally located urban site in Seattle were analyzed through the application of bilinear positive matrix factorization (PMF) and Unmix to study underlying size distributions and their daily patterns. A total of 1051 samples each with 16 size intervals from 20 to 400 nm were obtained from a differential mobility particle sizer operating between December 2000 and February 2001. Both PMF and Unmix identify four similar underlying factors in the size distributions. Factor 1 is an accumulation mode particle size spectrum that shows a regular nocturnal pattern, and factor 2 is a larger particle distribution. Factor 3 is assigned as a traffic-related particle distribution, based on its correlations with accompanying gas-phase measurements, and has a regular weekday-high rush-hour pattern. Factor 4 is a traffic-related particle size distribution that has a regular rush-hour pattern on weekdays as well as weekends. Conditional probability functions (CPF) were computed using wind profiles and factor contributions. The results of CPF analysis suggest that these factors are correlated with surrounding particle sources of wood burning, secondary aerosol, diesel emissions, and motor vehicle emissions.","url":"https://pubmed.ncbi.nlm.nih.gov/14740737/","authors":["Kim E","Hopke PK","Larson TV","Covert DS"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2004 Jan 1","doi":"10.1021/es030310s","addedAt":"2026-08-31T06:39:47.154Z","updatedAt":"2026-08-31T06:39:47.154Z"},{"id":"pmid:14572082","name":"Variability of apparent particle density of an urban aerosol.","source":"pubmed","abstract":"The day to day and diurnal variation of apparent particle density was studied using highly time-resolved measurements of particle number distribution and fine-particle mass concentration. The study was conducted in Erfurt, Germany, from January 1, 1999, to November 22, 2000. A setup consisting of a differential mobility particle spectrometer and a laser aerosol spectrometer was used for particle number distribution measurements. PM2.5 particle mass was measured in parallel on an hourly basis using a tapered element oscillating microbalance (TEOM) and on daily base by using a Harvard marple impactor (HI). For the estimation of the mean apparent density of particles, number size distributions were converted into volume size distributions, assuming that the particles were spherically shaped. The volume size distributions were integrated over the range of 10 nm to 2.03 microm Stokes equivalent diameter to obtain volume concentrations. Mean apparent particle density was calculated as ratio of mass concentration and volume concentration. The mean apparent particle density, determined from HI and number size distribution on a daily basis was 1.6 +/- 0.5 g cm(-3). We found a strong day-to-day variation of apparent density ranging from 1.0 to 2.5 g cm(-3) (5th and 95th percentile). Furthermore, the apparent density showed pronounced diurnal pattern both in summer and in winter and also on weekdays and weekends. The apparent density was lowest in the morning and highest in the afternoon. The mean apparent density on an hourly basis was 1.4 +/- 0.5 and 1.5 +/- 0.5 g cm(-3) for PM2.5TEOM and corrected PM2.5TEOM using regression equation between daily mass concentration of HI and TEOM, respectively. The strong diurnal variation of apparent particle density was associated predominantly with the vertical temperature inversion and with traffic intensity. Thus, the apparent particle density depends on the physical particle properties and might be related to chemical composition of the sampled particle.","url":"https://pubmed.ncbi.nlm.nih.gov/14572082/","authors":["Pitz M","Cyrys J","Karg E","Wiedensohler A","Wichmann HE","Heinrich J"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2003 Oct 1","doi":"10.1021/es034322p","addedAt":"2026-08-31T06:39:47.154Z","updatedAt":"2026-08-31T06:39:47.154Z"},{"id":"pmid:12523846","name":"Release of phospholipids from colloidal particles to polymeric surfaces.","source":"pubmed","abstract":"This study presents a small-scale polymerization of high molecular weight methyl methacrylate/n-butyl acrylate (MMA/n-BA) colloidal particles that are synthesized in an aqueous environment in the presence of phospholipid hydrogenated soybean phosphatidylcholine (HSPC) molecules that also serve as the particle stabilizing agents. When such particles coalesce to form polymeric films, they release phospholipids, which, in turn, form organized structures near the film-air (F-A) interface. Diffusion and mobility of phospholipid molecules are affected not only by their compatibility with colloidal particles but also by electrolyte environments of colloidal dispersions. When Na(+), K(+), and Ca(2+) counterions are added to MMA/n-BA aqueous colloidal dispersions stabilized with HSPC, and such films are coalesced, different degrees of diffusion of HSPC to the F-A interface exist, depending on the counterion, and conformational changes of HSPC result. For example, in the presence of Ca(2+), HSPC molecules collapse entropically to form random surface layers, as opposed to smaller Na(+) and K(+), which force amphiphilic HSPC ends to align preferentially parallel to the film surface. These studies show that it is possible to design stimuli-response colloidal systems triggered by chemical environments of active molecules on colloidal polymer particles.","url":"https://pubmed.ncbi.nlm.nih.gov/12523846/","authors":["Yacoub A","Urban MW"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2003 Jan-Feb","doi":"10.1021/bm020075q","addedAt":"2026-08-31T06:39:47.154Z","updatedAt":"2026-08-31T06:39:47.154Z"},{"id":"pmid:12269664","name":"Concentration and size distribution of ultrafine particles near a major highway.","source":"pubmed","abstract":"Motor vehicle emissions usually constitute the most significant source of ultrafine particles (diameter &lt;0.1 microm) in an urban environment, yet little is known about the concentration and size distribution of ultrafine particles in the vicinity of major highways. In the present study, particle number concentration and size distribution in the size range from 6 to 220 nm were measured by a condensation particle counter (CPC) and a scanning mobility particle sizer (SMPS), respectively. Measurements were taken 30, 60, 90, 150, and 300 m downwind, and 300 m upwind, from Interstate 405 at the Los Angeles National Cemetery. At each sampling location, concentrations of CO, black carbon (BC), and particle mass were also measured by a Dasibi CO monitor, an aethalometer, and a DataRam, respectively. The range of average concentration of CO, BC, total particle number, and mass concentration at 30 m was 1.7-2.2 ppm, 3.4-10.0 microg/m3, 1.3-2.0 x 10(5)/cm3, and 30.2-64.6 microg/m3, respectively. For the conditions of these measurements, relative concentrations of CO, BC, and particle number tracked each other well as distance from the freeway increased. Particle number concentration (6-220 nm) decreased exponentially with downwind distance from the freeway. Data showed that both atmospheric dispersion and coagulation contributed to the rapid decrease in particle number concentration and change in particle size distribution with increasing distance from the freeway. Average traffic flow during the sampling periods was 13,900 vehicles/hr. Ninety-three percent of vehicles were gasoline-powered cars or light trucks. The measured number concentration tracked traffic flow well. Thirty meters downwind from the freeway, three distinct ultrafine modes were observed with geometric mean diameters of 13, 27, and 65 nm. The smallest mode, with a peak concentration of 1.6 x 10(5)/cm3, disappeared at distances greater than 90 m from the freeway. Ultrafine particle number concentration measured 300 m downwind from the freeway was indistinguishable from upwind background concentration. These data may be used to estimate exposure to ultrafine particles in the vicinity of major highways.","url":"https://pubmed.ncbi.nlm.nih.gov/12269664/","authors":["Zhu Y","Hinds WC","Kim S","Sioutas C"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2002 Sep","doi":"10.1080/10473289.2002.10470842","addedAt":"2026-08-31T06:39:47.154Z","updatedAt":"2026-08-31T06:39:47.154Z"},{"id":"pmid:11917984","name":"Application of the multimedia urban model to compare the fate of SOCs in an urban and forested watershed.","source":"pubmed","abstract":"A multimedia model has been developed to estimate the dynamics of semivolatile organic compounds (SOCs) in urban areas. The model is based on a Level III fugacity model of Mackay and consists of six compartments: air, surface water, sediment, soil, vegetation, and an organic film that coats impervious surfaces. The model was used to illustrate the effect of impervious surfaces in urban areas by parametrization for downtown, Toronto, Canada, and modification of the same area to simulate forested conditions. With illustrative emissions of PCB homologues to air, the model indicates that most chemicals are lost by advection, with the remainder undergoing air-to-surface (organic film or vegetation) transfer. Under urban conditions chemicals with Log[K(OA)] &lt; 7.5 volatilize from the film into air where they are susceptible to advection and photolytic degradation. Chemicals with Log[K(OA)] &gt; 7.5 are washed off the film to surface waters where they may undergo volatilization, advection, sedimentation, and degradation. Both loss mechanisms from the film increase the overall mobility of SOCs in the urban relative to the forested environment. In forested areas, vegetation more efficiently accumulates gas- and particle-phase SOCs and subsequently transfers them to surface soils, the greatest chemical reservoir, where they are relatively immobile.","url":"https://pubmed.ncbi.nlm.nih.gov/11917984/","authors":["Priemer DA","Diamond ML"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2002 Mar 1","doi":"10.1021/es001397+","addedAt":"2026-08-31T06:39:47.154Z","updatedAt":"2026-08-31T06:39:47.154Z"},{"id":"pmid:11545531","name":"Developing a multimedia model of chemical dynamics in an urban area.","source":"pubmed","abstract":"A multimedia model has been developed to account for the movement of semi-volatile organic compounds (SOCs) in an urban environment. The model, based on a Level III fugacity model of D. Mackay (Multimedia Environmental Models: The Fugacity Approach, Lewis Publishers, Boca Raton, FL, 1991), consists of six compartments: air, surface water, sediment, soil, vegetation, and an organic film that coats impervious surfaces. The latter is a newly identified compartment into which gas-phase SOCs partition and particle-phase SOCs are believed to be efficiently captured (M.L. Diamond, S.E. Gingrich, K. Fertuck, B.E. McCarry, G.A. Stern, B. Billeck, B. Grift, D. Brooker, T.D. Yager, Environ. Sci. Technol., 34 (2000a), 2900-2908). The model, parameterized for downtown Toronto, Ontario, Canada, and run with an illustrative emission rate for selected polycyclic aromatic hydrocarbons and homologues of polychlorinated dibenzodioxins, indicates that the film achieves the highest concentrations among media but that soils are the greatest sink for all but the least hydrophobic chemicals. The film \"reflects\" the more volatile chemicals into air, facilitates removal to surface waters by wash-off, and provides a surface on which photolytic degradation can occur. As such, the film is a transient sink that increases chemical mobility in urban areas by increasing air concentrations and the cycling of these compounds between air and urban surfaces and increasing water concentrations. Vegetation also accumulates SOCs, a portion of which is transferred to soil that reduces chemical mobility.","url":"https://pubmed.ncbi.nlm.nih.gov/11545531/","authors":["Diamond ML","Priemer DA","Law NL"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2001 Sep","doi":"10.1016/s0045-6535(00)00509-9","addedAt":"2026-08-31T06:39:47.154Z","updatedAt":"2026-08-31T06:39:47.154Z"},{"id":"doi:10.17632/jrh75fg3zx.3","name":"ISTADFuels - Italian SpatioTemporal Augmented Dataset on Fuels","source":"datacite","abstract":"We present a dataset for fuel sales analysis at the Italian provincial (NUTS3) level from January 2015 to October 2023 (release V3, January 2024). Fuel sales data are collected at monthly frequency, and are organized by fuel type, usage, and point of sale (highway, municipal road, extra-network road). Fuels data are augmented by a set of socio-economic and geographical variables, which help explain the impact of economic phenomena and topography on fuel sales. The data is collected from the Monthly oil Bullettin of Italian Ministry of Environment and Energy Security (MITE), ISTAT (Istituto Nazionale di Statistica), Bank of Italy and Eurostat, and has been collected through both automated web scraping and manual downloads, then cleaned and reshaped to be suitable for analysis. The produced dataset may be useful for spatiotemporal fuel sales forecasting, air quality analysis, urban mobility, econometric research, as well as machine learning applications. To further assist the user in finding valuable insight, an R Shiny app (freely available at the webpage https://ale-ch.shinyapps.io/it-fuel-dashboard/) was developed for data exploration. App code and the data have been made fully available on the following Github repository (https://github.com/ale-ch/it-fuel-dashboard). The app consists of interactive plots that allow the user to visualize every variable in the dataset at different time ranges and locations, allowing full flexibility in data exploration.","url":"https://doi.org/10.17632/jrh75fg3zx.3","authors":["Chiodin, Alessio","Maranzano, Paolo"],"tags":["Spatiotemporal Database","Fuel","Geostatistics","Italy","Diesel","Oil","Traditional Liquid Fuels","Motor Vehicles"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.17632/jrh75fg3zx.3","addedAt":"2026-08-31T06:39:47.154Z","updatedAt":"2026-08-31T06:39:48.855Z"},{"id":"doi:10.17632/jrh75fg3zx","name":"ISTADFuels - Italian SpatioTemporal Augmented Dataset on Fuels","source":"datacite","abstract":"We present a dataset for fuel sales analysis at the Italian provincial (NUTS3) level from January 2015 to October 2023 (release V3, January 2024). Fuel sales data are collected at monthly frequency, and are organized by fuel type, usage, and point of sale (highway, municipal road, extra-network road). Fuels data are augmented by a set of socio-economic and geographical variables, which help explain the impact of economic phenomena and topography on fuel sales. The data is collected from the Monthly oil Bullettin of Italian Ministry of Environment and Energy Security (MITE), ISTAT (Istituto Nazionale di Statistica), Bank of Italy and Eurostat, and has been collected through both automated web scraping and manual downloads, then cleaned and reshaped to be suitable for analysis. The produced dataset may be useful for spatiotemporal fuel sales forecasting, air quality analysis, urban mobility, econometric research, as well as machine learning applications. To further assist the user in finding valuable insight, an R Shiny app (freely available at the webpage https://ale-ch.shinyapps.io/it-fuel-dashboard/) was developed for data exploration. App code and the data have been made fully available on the following Github repository (https://github.com/ale-ch/it-fuel-dashboard). The app consists of interactive plots that allow the user to visualize every variable in the dataset at different time ranges and locations, allowing full flexibility in data exploration.","url":"https://doi.org/10.17632/jrh75fg3zx","authors":["Chiodin, Alessio","Maranzano, Paolo"],"tags":["Spatiotemporal Database","Fuel","Geostatistics","Italy","Diesel","Oil","Traditional Liquid Fuels","Motor Vehicles"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.17632/jrh75fg3zx","addedAt":"2026-08-31T06:39:47.154Z","updatedAt":"2026-08-31T06:39:48.855Z"},{"id":"doi:10.17632/jrh75fg3zx.2","name":"ISTADFuels - Italian SpatioTemporal Augmented Dataset on Fuels","source":"datacite","abstract":"We present a dataset for fuel sales analysis at the Italian provincial (NUTS3) level from January 2015 to mid-2023. Fuel sales data are collected at monthly frequency, and are organized by fuel type, usage, and point of sale (highway, municipal road, extra-network road). Fuels data are augmented by a set of socio-economic and geographical variables, which help explain the impact of economic phenomena and topography on fuel sales. The data is collected from the Monthly oil Bullettin of Italian Ministry of Environment and Energy Security (MITE), ISTAT (Istituto Nazionale di Statistica), Bank of Italy and Eurostat, and has been collected through both automated web scraping and manual downloads, then cleaned and reshaped to be suitable for analysis. The produced dataset may be useful for spatiotemporal fuel sales forecasting, air quality analysis, urban mobility, econometric research, as well as machine learning applications. To further assist the user in finding valuable insight, an R Shiny app was developed for data exploration. App code and the data have been made fully available on the following Github repository (https://github.com/ale-ch/it-fuel-dashboard). The app consists of interactive plots that allow the user to visualize every variable in the dataset at different time ranges and locations, allowing full flexibility in data exploration.","url":"https://doi.org/10.17632/jrh75fg3zx.2","authors":["Chiodin, Alessio","Maranzano, Paolo"],"tags":["Spatiotemporal Database","Fuel","Geostatistics","Italy","Diesel","Oil","Traditional Liquid Fuels","Motor Vehicles"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2023","doi":"10.17632/jrh75fg3zx.2","addedAt":"2026-08-31T06:39:47.154Z","updatedAt":"2026-08-31T06:39:47.154Z"},{"id":"doi:10.17632/jrh75fg3zx.1","name":"ISTADFuels - Italian SpatioTemporal Augmented Dataset on Fuels","source":"datacite","abstract":"We present a dataset for fuel sales analysis at the Italian provincial (NUTS3) level from January 2015 to mid-2023. Fuel sales data are collected at monthly frequency, and are organized by fuel type, usage, and point of sale (highway, municipal road, extra-network road). Fuels data are augmented by a set of socio-economic and geographical variables, which help explain the impact of economic phenomena and topography on fuel sales. The data is collected from the Monthly oil Bullettin of Italian Ministry of Environment and Energy Security (MITE), ISTAT (Istituto Nazionale di Statistica), Bank of Italy and Eurostat, and has been collected through both automated web scraping and manual downloads, then cleaned and reshaped to be suitable for analysis. The produced dataset may be useful for spatiotemporal fuel sales forecasting, air quality analysis, urban mobility, econometric research, as well as machine learning applications. To further assist the user in finding valuable insight, an R Shiny app was developed for data exploration. App code and the data have been made fully available on the following Github repository (https://github.com/ale-ch/it-fuel-dashboard). The app consists of interactive plots that allow the user to visualize every variable in the dataset at different time ranges and locations, allowing full flexibility in data exploration.","url":"https://doi.org/10.17632/jrh75fg3zx.1","authors":["Maranzano, Paolo","Chiodin, Alessio"],"tags":["Spatiotemporal Database","Fuel","Geostatistics","Italy","Diesel","Oil","Traditional Liquid Fuels","Motor Vehicles"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2023","doi":"10.17632/jrh75fg3zx.1","addedAt":"2026-08-31T06:39:47.154Z","updatedAt":"2026-08-31T06:39:47.154Z"},{"id":"doi:10.5281/zenodo.20714467","name":"Satellite Data and GIS in Monitoring Air Pollution and Respiratory Diseases","source":"datacite","abstract":"Air pollution is a major global health threat, contributing to millions of premature deaths annually and driving chronic respiratory diseases such as asthma, COPD, and lung cancer. This presentation demonstrates how satellite remote sensing and GIS provide powerful, scalable tools for monitoring atmospheric pollutants and assessing their health impacts. Modern satellite missions—including Sentinel‑5P, MODIS, MISR, VIIRS, and upcoming MAIA—enable high‑resolution detection of aerosols and trace gases (PM₂.₅, PM₁₀, NO₂, SO₂, O₃), while GIS integrates these observations with meteorological, land‑use, and health data to model surface exposure and identify vulnerable populations. Analytical methods such as spatiotemporal kriging, land‑use regression, and machine learning enhance exposure estimation, and WebGIS platforms support real‑time visualization, early warning systems, and risk communication. Case studies highlight the role of urban morphology, environmental justice, and anthropogenic activity—such as mobility reductions during COVID‑19 lockdowns—in shaping pollution patterns. The work underscores the importance of satellite‑GIS fusion for respiratory disease surveillance, policy development, and equitable public‑health interventions.","url":"https://doi.org/10.5281/zenodo.20714467","authors":["Filchev, Lachezar","Chanev, Milen","Jelev, Georgi","Trenchev, Plamen","Dimitrova, Maria","Cahyadi, Mokhamad Nur"],"tags":["Satellite remote sensing","Air pollution","Air Pollution","Gis digital system","exposure modeling","Respiratory disease","Sentinel"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.20714467","addedAt":"2026-08-31T06:39:47.154Z","updatedAt":"2026-08-31T06:39:47.154Z"},{"id":"doi:10.5281/zenodo.20714468","name":"Satellite Data and GIS in Monitoring Air Pollution and Respiratory Diseases","source":"datacite","abstract":"Air pollution is a major global health threat, contributing to millions of premature deaths annually and driving chronic respiratory diseases such as asthma, COPD, and lung cancer. This presentation demonstrates how satellite remote sensing and GIS provide powerful, scalable tools for monitoring atmospheric pollutants and assessing their health impacts. Modern satellite missions—including Sentinel‑5P, MODIS, MISR, VIIRS, and upcoming MAIA—enable high‑resolution detection of aerosols and trace gases (PM₂.₅, PM₁₀, NO₂, SO₂, O₃), while GIS integrates these observations with meteorological, land‑use, and health data to model surface exposure and identify vulnerable populations. Analytical methods such as spatiotemporal kriging, land‑use regression, and machine learning enhance exposure estimation, and WebGIS platforms support real‑time visualization, early warning systems, and risk communication. Case studies highlight the role of urban morphology, environmental justice, and anthropogenic activity—such as mobility reductions during COVID‑19 lockdowns—in shaping pollution patterns. The work underscores the importance of satellite‑GIS fusion for respiratory disease surveillance, policy development, and equitable public‑health interventions.","url":"https://doi.org/10.5281/zenodo.20714468","authors":["Filchev, Lachezar","Chanev, Milen","Jelev, Georgi","Trenchev, Plamen","Dimitrova, Maria","Cahyadi, Mokhamad Nur"],"tags":["Satellite remote sensing","Air pollution","Air Pollution","Gis digital system","exposure modeling","Respiratory disease","Sentinel"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.20714468","addedAt":"2026-08-31T06:39:47.154Z","updatedAt":"2026-08-31T06:39:47.154Z"},{"id":"doi:10.26165/juelich-data/syirws","name":"SAPHIR CHANEL 2024 Campaign","source":"datacite","abstract":"This dataset contains gas-phase and aerosol measurements collected during the CHANEL (Household Chemicals Amplifying Urban Aerosol Pollution) campaign, conducted at the SAPHIR (Simulation of Atmospheric PHotochemistry In a large Reaction Chamber) outdoor atmospheric simulation chamber at Forschungszentrum Jülich, Germany, during summer 2024. The campaign comprised 27 experiments simulating a range of urban chemical environments, including single-source oxidation experiments (volatile chemical products, cooking, gasoline, and diesel exhaust) and multi-source mixtures representative of present-day Los Angeles, diesel-dominated European cities, and future low-vehicle-emission scenarios, under diverse daytime and nighttime oxidant regimes. Measurements include: gas-phase VOCs and oxygenated VOCs by NH4⁺ and H3O⁺ chemical ionisation mass spectrometry (VOCUS and FUSION PTR-TOF); non-methane hydrocarbons (C2–C12) by online GC–MS/FID (GC-ACTRIS and GC-1); trace inorganic gases including NOx, NOy, O3, and HONO by chemiluminescence, UV absorption, and iterative cavity-enhanced DOAS (ICAD); OH, HO2, and RO2 radical concentrations by laser-induced fluorescence (ROxLIF); NO3 radical chemistry by chemical ionisation; total OH reactivity by laser-flash photolysis LIF; aerosol chemical composition by high-resolution aerosol mass spectrometry (AMS), Orbitrap mass spectrometry, WALL-E Orbitrap, and Extractive Electrospray Ionisation (EESI); aerosol volatility and molecular composition by a Filter Inlet for Gases and AEROsols (FIGAERO) coupled to iodide chemical ionisation and by a CHARON inlet coupled to NH4⁺ and H3O⁺ chemical ionisation mass spectrometry; gas-phase molecular composition by a Multi-Reagent Chemical Ionisation Mass Spectrometer (MR-CIMS) operated with iodide, acetone, bromide, and benzene reagent ions; oxygenated compounds by a high-resolution amine time-of-flight instrument (amine-HTOF); aerosol size distributions by Scanning Mobility Particle Sizers (SMPS) and an Electrical Low Pressure Impactor (ELPI); and photolysis frequencies by CCD spectroradiometry. The dataset supports investigations of urban radical chemistry, secondary organic aerosol formation and volatility, ozone production, organic nitrate chemistry, and the chemical diversity of urban air under atmospherically relevant oxidation conditions.","url":"https://doi.org/10.26165/juelich-data/syirws","authors":["Gkatzelis, Georgios","Wu, Yizhen","Tillmann, Ralf","Pfannerstill, Eva","Khare, Peeyush","Marcillo, Andrea","Grasse, Achim","Rohrer, Franz","Depp, Clémence","Roska, Milan","Adam, Max","Albertin, Sarah"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.26165/juelich-data/syirws","addedAt":"2026-08-31T06:39:47.154Z","updatedAt":"2026-08-31T06:39:48.855Z"},{"id":"doi:10.48550/arxiv.2411.17552","name":"TRUST-UP: Trustworthy Reinforcement learning Using Safe Techniques for UAV Pursuit","source":"datacite","abstract":"Reinforcement Learning (RL) enables autonomous aerial vehicles to adapt quickly and make efficient decisions, making it well-suited for dynamic urban air mobility operations. However, the lack of safety guarantees and transparency hinders the airworthiness certification of RL-based flight control systems, particularly in low-altitude urban environments with human presence. This paper proposes a trustworthy reinforcement learning algorithm that utilizes safe techniques to address the AI trustworthiness requirements for aviation safety, ensuring the transparent and certifiable deployment of RL in safety-critical aerial operations. Specifically, we proposed a Trustworthy Reinforcement learning Using Safe Techniques for UAV Pursuit (TRUST-UP), which consists of two key components: a safety filter constructed from Control Barrier Functions (CBFs) that transforms unsafe RL actions into provably safe flight commands, and a switching strategy that enhances feasibility while maintaining operational transparency. These components enable trustworthy AI deployment in urban airspace, satisfying technical robustness and transparency requirements for aviation certification. Simulation results demonstrate that TRUST-UP enables autonomous UAVs to safely navigate congested urban environments while maintaining human-interpretable decision logic. This work contributes toward certifiable and explainable AI frameworks for low-altitude aviation, addressing the critical need for trustworthy autonomous flight systems in future urban air mobility.","url":"https://doi.org/10.48550/arxiv.2411.17552","authors":["Deng, Yaosheng","Lyu, Mengtao","Gao, Junjie","Xiao, Jiaping","Feroskhan, Mir"],"tags":["Systems and Control (eess.SY)","FOS: Electrical engineering, electronic engineering, information engineering","FOS: Electrical engineering, electronic engineering, information engineering"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.48550/arxiv.2411.17552","addedAt":"2026-08-31T06:39:47.154Z","updatedAt":"2026-08-31T06:39:47.154Z"},{"id":"doi:10.5281/zenodo.20689474","name":"Communication Systems for Smart City Infrastructure","source":"datacite","abstract":"ABSTRACT The evolution of smart cities is intrinsically linked to the maturity and integration of robust communication infrastructure. As urban environments increasingly rely on data-driven decision-making, the synergy between Internet of Things (IoT) sensors, edge computing, and high-speed networking has become a critical research priority. This article surveys the state of communication systems for smart city infrastructure, analyzing the transition from legacy urban systems to integrated, IoT-enabled networks. We examine the roles of diverse technologies—ranging from Low Power Wide Area Networks (LPWAN) to the emergence of 5G, 6G, and beyond—in supporting urban services such as intelligent transportation, smart energy grids, and public safety. Furthermore, we discuss pervasive challenges, including data privacy, standardization fragmentation, and the security of cyber-physical systems. This research explores the technical nuance of network convergence and the socio-technical implications of ubiquitous urban connectivity, providing a roadmap for future infrastructure design that emphasizes resilience, scalability, and inclusive urban governance. Keywords: Smart Cities, Internet of Things (IoT), Communication Systems, Urban Infrastructure, 5G, 6G, Cyber-Physical Systems, Edge Computing, Data Governance 1. Introduction Smart cities represent an urban paradigm shift where digital technologies are embedded into physical infrastructure to enhance efficiency, sustainability, and quality of life. At the core of this transformation lies the communication layer, which enables disparate assets ranging from utility meters to traffic sensors—to interoperate seamlessly. While early smart city concepts relied on wired legacy systems with limited monitoring capabilities, modern infrastructures are increasingly defined by heterogeneous, wireless-dominated communication meshes. This transition from passive infrastructure to active, responsive systems marks a new epoch in urban planning, where real-time data flow becomes the \"circulatory system\" of the metropolis, enabling autonomous adjustments to lighting, traffic flow, and energy distribution. The strategic goal is not merely to connect devices but to foster an ecosystem where data creates value, reduces carbon footprints, and democratizes access to urban services. However, the complexity of these environments—often referred to as \"Systems of Systems\"—requires a holistic approach to network architecture, ensuring that connectivity is reliable, scalable, and secure enough to support the high-stakes demands of modern urban life. As cities densify, the pressure on communication channels grows exponentially, necessitating intelligent management strategies that prioritize quality of service (QoS) and user experience. Urban centers are now transitioning from discrete technological deployments to unified, city-wide digital membranes that treat data as a critical public utility comparable to water or electricity. This fundamental shift requires moving away from silos toward a unified communication fabric that can support the burgeoning volume of machine-to-machine traffic inherent in a truly smart metropolis. The challenge lies in orchestrating these layers such that they provide high availability, low latency, and deterministic performance, even under extreme urban stressors. Furthermore, the convergence of AI, IoT, and high-speed networking is fundamentally changing the urban planning process, transitioning from reactive maintenance to predictive, real-time optimization. By treating the city as a living laboratory, planners can leverage real-time feedback loops to iterate on infrastructure designs, optimizing everything from waste management routing to urban heat island mitigation strategies. This shift towards a \"sentient city\" model necessitates a massive upgrade in backhaul capacity and the proliferation of low-latency wireless access points throughout the urban core, creating an environment ","url":"https://doi.org/10.5281/zenodo.20689474","authors":["Bommanagouda G"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2021","doi":"10.5281/zenodo.20689474","addedAt":"2026-08-31T06:39:47.154Z","updatedAt":"2026-08-31T06:39:47.154Z"},{"id":"doi:10.5281/zenodo.20689475","name":"Communication Systems for Smart City Infrastructure","source":"datacite","abstract":"ABSTRACT The evolution of smart cities is intrinsically linked to the maturity and integration of robust communication infrastructure. As urban environments increasingly rely on data-driven decision-making, the synergy between Internet of Things (IoT) sensors, edge computing, and high-speed networking has become a critical research priority. This article surveys the state of communication systems for smart city infrastructure, analyzing the transition from legacy urban systems to integrated, IoT-enabled networks. We examine the roles of diverse technologies—ranging from Low Power Wide Area Networks (LPWAN) to the emergence of 5G, 6G, and beyond—in supporting urban services such as intelligent transportation, smart energy grids, and public safety. Furthermore, we discuss pervasive challenges, including data privacy, standardization fragmentation, and the security of cyber-physical systems. This research explores the technical nuance of network convergence and the socio-technical implications of ubiquitous urban connectivity, providing a roadmap for future infrastructure design that emphasizes resilience, scalability, and inclusive urban governance. Keywords: Smart Cities, Internet of Things (IoT), Communication Systems, Urban Infrastructure, 5G, 6G, Cyber-Physical Systems, Edge Computing, Data Governance 1. Introduction Smart cities represent an urban paradigm shift where digital technologies are embedded into physical infrastructure to enhance efficiency, sustainability, and quality of life. At the core of this transformation lies the communication layer, which enables disparate assets ranging from utility meters to traffic sensors—to interoperate seamlessly. While early smart city concepts relied on wired legacy systems with limited monitoring capabilities, modern infrastructures are increasingly defined by heterogeneous, wireless-dominated communication meshes. This transition from passive infrastructure to active, responsive systems marks a new epoch in urban planning, where real-time data flow becomes the \"circulatory system\" of the metropolis, enabling autonomous adjustments to lighting, traffic flow, and energy distribution. The strategic goal is not merely to connect devices but to foster an ecosystem where data creates value, reduces carbon footprints, and democratizes access to urban services. However, the complexity of these environments—often referred to as \"Systems of Systems\"—requires a holistic approach to network architecture, ensuring that connectivity is reliable, scalable, and secure enough to support the high-stakes demands of modern urban life. As cities densify, the pressure on communication channels grows exponentially, necessitating intelligent management strategies that prioritize quality of service (QoS) and user experience. Urban centers are now transitioning from discrete technological deployments to unified, city-wide digital membranes that treat data as a critical public utility comparable to water or electricity. This fundamental shift requires moving away from silos toward a unified communication fabric that can support the burgeoning volume of machine-to-machine traffic inherent in a truly smart metropolis. The challenge lies in orchestrating these layers such that they provide high availability, low latency, and deterministic performance, even under extreme urban stressors. Furthermore, the convergence of AI, IoT, and high-speed networking is fundamentally changing the urban planning process, transitioning from reactive maintenance to predictive, real-time optimization. By treating the city as a living laboratory, planners can leverage real-time feedback loops to iterate on infrastructure designs, optimizing everything from waste management routing to urban heat island mitigation strategies. This shift towards a \"sentient city\" model necessitates a massive upgrade in backhaul capacity and the proliferation of low-latency wireless access points throughout the urban core, creating an environment ","url":"https://doi.org/10.5281/zenodo.20689475","authors":["Bommanagouda G"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2021","doi":"10.5281/zenodo.20689475","addedAt":"2026-08-31T06:39:47.154Z","updatedAt":"2026-08-31T06:39:47.154Z"},{"id":"doi:10.26262/heal.auth.ir.373855","name":"Συστημική Ανάλυση και Αξιολόγηση της επίδρασης της κυκλοφοριακής ροής στις εκπομπές αέριων ρύπων μέσω μικρό-προσομοίωσης: Η περίπτωση της Θεσσαλονίκης","source":"datacite","abstract":"Η οδική κυκλοφορία αποτελεί έναν από τους σημαντικότερους παράγοντες υποβάθμισης της ποιότητας του αέρα στα αστικά κέντρα, με τις σηματοδοτούμενες διασταυρώσεις να λειτουργούν ως κρίσιμα «σημεία συγκέντρωσης» εκπομπών. Η παρούσα εργασία παρουσιάζει μια ολοκληρωμένη μεθοδολογία που συνδυάζει τη μικρό-προσομοίωση της κυκλοφορίας με τη μοντελοποίηση εκπομπών αέριων ρύπων, στοχεύοντας στην αξιολόγηση της περιβαλλοντικής επίδοσης δύο σηματοδοτούμενων διασταυρώσεων στο κέντρο της Θεσσαλονίκης. Η ανάλυση επικεντρώνεται στις περιόδους πρωινής και απογευματινής αιχμής, αξιοποιώντας υψηλής ανάλυσης κυκλοφοριακά δεδομένα πεδίου για την ανάπτυξη του μοντέλου μικρό-προσομοίωσης. Οι εκπομπές διοξειδίου του άνθρακα (CO2), οξειδίων του αζώτου (NOx) και αιωρούμενων σωματιδίων (PM10) υπολογίστηκαν με το λογισμικό EnViVer Enterprise, αξιοποιώντας τα λεπτομερή προφίλ ταχύτητας και επιτάχυνσης των οχημάτων, τα οποία προέκυψαν από το μοντέλο προσομοίωσης. Στη συνέχεια πραγματοποιήθηκε χωρική ανάλυση των εκπομπών ανά πρόσβαση και ανά κόμβο, ενώ διερευνήθηκε η σχέση τους με κρίσιμες παραμέτρους οδηγικής συμπεριφοράς. Η εφαρμογή της Γεωγραφικά Σταθμισμένης Παλινδρόμησης (Geographically Weighted Regression – GWR) ανέδειξε χωρική ετερογένεια στις σχέσεις μεταξύ κυκλοφοριακών χαρακτηριστικών και εκπομπών, υποδεικνύοντας ότι περιοχές με έντονα δυναμικά φαινόμενα λειτουργούν ως τοπικές πηγές αυξημένης περιβαλλοντικής επιβάρυνσης. Τα ευρήματα της έρευνας προσφέρουν πολύτιμες πληροφορίες για το σχεδιασμό στρατηγικών και μέτρων διαχείρισης της κυκλοφορίας που προάγουν τη βιώσιμη αστική κινητικότητα.","url":"https://doi.org/10.26262/heal.auth.ir.373855","authors":["Τσεχιλίδου, Άννα Ε."],"tags":["Μικρό-προσομοίωση κυκλοφορίας","Εκπομπές αέριων ρύπων","Βιώσιμη Αστική Κινητικότητα","Traffic microsimulation","Traffic emissions","Sustainable Urban Mobility"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.26262/heal.auth.ir.373855","addedAt":"2026-08-31T06:39:47.154Z","updatedAt":"2026-08-31T06:39:47.154Z"},{"id":"doi:10.6082/06338-cqg65","name":"From Pacific Gateway to Tourist City: Mobility, Revolution, and the Development of the Mexican Seaside, Acapulco, Mexico, 1849-1970","source":"datacite","abstract":"Since its creation as a port of trade in the sixteenth century, Acapulco has been built, destroyed, and recreated by the ebb and flow of people crossing its bay. Having linked Asia with the Americas for nearly three centuries, the seaport eventually lost all commercial centrality during the nineteenth century. Its trans-Pacific horizons narrowed and disappeared altogether as Mexico's Pacific coast pulled away from old commercial routes between Europe and Asia, and began to gravitate towards new markets, coasting trade, and mobility on the west coast of North America. \"From Pacific Gateway to Tourist City\" chronicles the drastic transformation of Acapulco and the Mexican seaside from 1849 to 1970, that is, the period running from the California Gold Rush up until the dawn of mass tourism. Drawing from a wide array of archives in Mexico, California, and the United States, this project shows how Acapulco and the Mexican seaside underwent profound urban changes when the eastern corner of the Pacific became the North American West, a historic map that Acapulco helped create and reconnect through its own reinvention. In this story of relentless change, Acapulco became a pioneer station during the 1849 Gold Rush, and for the rest of the century served as a hub of black markets, revolutions, and steamship traffic. Land and air transportation began to integrate many seaside economies into the West Coast as the urban heartland of Mexico and the United States began to connect and develop massive consumer markets. Roads arrived in 1927, connecting the Pacific port to Mexico City. Henceforth, the last remains of this historic map disappeared. One of the oldest Pacific seaports in the Americas, as a result, turned into one of the first boomtowns of mass tourism in North America. Why this came to be is the question animating this dissertation, while the history of this Pacific port city— its decline and reinvention, boom and bust—is the subject of this study. Acapulco's particular transition- from a commercial seaport to a transport hub to a boomtown of mass tourism- reflects a sea change in the economic relationship drawn not only between North America, the Mexican heartland, and the Pacific World, but also between port cities and their relationship with the sea. Acapulco, after all, became a full-fledged tourist city when its age-old port disappeared and the beach displaced the bay from its central role in the urban economy, in a similar way as the story of so many other seaports. In a history of great leaps and discontinuities, of sometimes violent displacements –-of groups, families, and individuals— that changed the make-up of classes in the port, this study shows how shifting generations of merchants, revolutionaries, businessmen, boosters, and political actors in Acapulco reacted to these profound changes. The study explores their attempts to revive, transform, and adapt Acapulco's economy form part of the larger story. Two intertwined stories are told in this dissertation: the deeply local seaport life, the individual stories, the small connections of urban, cultural, and economic life in the changing space of the port city; and the global, the shifting world-economies, the macro picture of popular upheavals and revolutions in transportation, mobility, and communications. Both stories are woven together into a comprehensive story of urban change which, in its most essential aspects, is about displacement and reinvention in the city of Acapulco. One of the central arguments in this dissertation is that economic decline, at a regional level, ultimately gave birth to the Mexican seaside in the twentieth century. As social practices on the seashore changed, attitudes towards the sea and the ocean began to shift. Alongside this process, seaside aesthetics were culturally reinterpreted as a form of lucrative natural beauty for consumption purposes. But these subtle changes were only one of the driving forces behind the rise of the Mexican ","url":"https://doi.org/10.6082/06338-cqg65","authors":["Anduiza Pimentel, Marcel Sebastian"],"tags":["History","Latin American history","Economic history","Mexican History","Mobility","Pacific Studies","Urban and Regional Economics","Urban Planning"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2019","doi":"10.6082/06338-cqg65","addedAt":"2026-08-31T06:39:47.154Z","updatedAt":"2026-08-31T06:39:47.154Z"},{"id":"doi:10.6082/uchicago.1701","name":"From Pacific Gateway to Tourist City: Mobility, Revolution, and the Development of the Mexican Seaside, Acapulco, Mexico, 1849-1970","source":"datacite","abstract":"Since its creation as a port of trade in the sixteenth century, Acapulco has been built, destroyed, and recreated by the ebb and flow of people crossing its bay. Having linked Asia with the Americas for nearly three centuries, the seaport eventually lost all commercial centrality during the nineteenth century. Its trans-Pacific horizons narrowed and disappeared altogether as Mexico's Pacific coast pulled away from old commercial routes between Europe and Asia, and began to gravitate towards new markets, coasting trade, and mobility on the west coast of North America. \"From Pacific Gateway to Tourist City\" chronicles the drastic transformation of Acapulco and the Mexican seaside from 1849 to 1970, that is, the period running from the California Gold Rush up until the dawn of mass tourism. Drawing from a wide array of archives in Mexico, California, and the United States, this project shows how Acapulco and the Mexican seaside underwent profound urban changes when the eastern corner of the Pacific became the North American West, a historic map that Acapulco helped create and reconnect through its own reinvention. In this story of relentless change, Acapulco became a pioneer station during the 1849 Gold Rush, and for the rest of the century served as a hub of black markets, revolutions, and steamship traffic. Land and air transportation began to integrate many seaside economies into the West Coast as the urban heartland of Mexico and the United States began to connect and develop massive consumer markets. Roads arrived in 1927, connecting the Pacific port to Mexico City. Henceforth, the last remains of this historic map disappeared. One of the oldest Pacific seaports in the Americas, as a result, turned into one of the first boomtowns of mass tourism in North America. Why this came to be is the question animating this dissertation, while the history of this Pacific port city— its decline and reinvention, boom and bust—is the subject of this study. Acapulco's particular transition- from a commercial seaport to a transport hub to a boomtown of mass tourism- reflects a sea change in the economic relationship drawn not only between North America, the Mexican heartland, and the Pacific World, but also between port cities and their relationship with the sea. Acapulco, after all, became a full-fledged tourist city when its age-old port disappeared and the beach displaced the bay from its central role in the urban economy, in a similar way as the story of so many other seaports. In a history of great leaps and discontinuities, of sometimes violent displacements –-of groups, families, and individuals— that changed the make-up of classes in the port, this study shows how shifting generations of merchants, revolutionaries, businessmen, boosters, and political actors in Acapulco reacted to these profound changes. The study explores their attempts to revive, transform, and adapt Acapulco's economy form part of the larger story. Two intertwined stories are told in this dissertation: the deeply local seaport life, the individual stories, the small connections of urban, cultural, and economic life in the changing space of the port city; and the global, the shifting world-economies, the macro picture of popular upheavals and revolutions in transportation, mobility, and communications. Both stories are woven together into a comprehensive story of urban change which, in its most essential aspects, is about displacement and reinvention in the city of Acapulco. One of the central arguments in this dissertation is that economic decline, at a regional level, ultimately gave birth to the Mexican seaside in the twentieth century. As social practices on the seashore changed, attitudes towards the sea and the ocean began to shift. Alongside this process, seaside aesthetics were culturally reinterpreted as a form of lucrative natural beauty for consumption purposes. But these subtle changes were only one of the driving forces behind the rise of the Mexican ","url":"https://doi.org/10.6082/uchicago.1701","authors":["Anduiza Pimentel, Marcel Sebastian"],"tags":["History","Latin American history","Economic history","Mexican History","Mobility","Pacific Studies","Urban and Regional Economics","Urban Planning"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2019","doi":"10.6082/uchicago.1701","addedAt":"2026-08-31T06:39:47.154Z","updatedAt":"2026-08-31T06:39:47.154Z"},{"id":"doi:10.6082/va557-y6j65","name":"Renters, Buildings and Scale: A Spatial Analysis of Urban Tree Cover in Chicago","source":"datacite","abstract":"Trees play an important role in the function of urban ecosystems. Beyond their role as a habitat for birds and other animals, trees provide an array of essential ecosystem services: stormwater management (Berland et al. 2017), temperature control (Coseo and Larsen 2014), air pollution reduction (Nowak, Crane and Stevens 2006), and carbon sequestration (Kendall and McPherson 2012), among other ecosystem services. Recent research has focused on the relationship between rentership rates and the distribution of this environmental amenity in residential areas. The landmark research on this subject is from Perkins, Heynen and Wilson (2004), who examined a tree-planting program in Milwaukee and found a statistically significant negative correlation between rentership rates and residential canopy cover at the census tract level. Based on their review of the literature on differences between renter and owner-occupied housing, the authors suggest two factors that may produce this relationship: residential mobility, as renters are relatively transient and are unlikely to ever benefit from the trees they plant, and housing maintenance, as it is disadvantageous for renters to invest in improvements that enhance property values and may result in rising rents. Several other studies have investigated this relationship and have similarly found an inverse correlation between rentership and lower tree cover, in various cities at various spatial scales (Heynen, Perkins and Roy 2006; Landry and Chakraborty 2009; Koo et al. 2019). Although tree cover is not necessarily a perfect proxy for the ecosystem services provided by the urban forest, as Riley and Gardiner (2020) found in their comparison of tree canopy cover with a spatial measure of ecosystem service dollars, it remains a readily available and widely-used figure to assess the distribution of these benefits.","url":"https://doi.org/10.6082/va557-y6j65","authors":["Joyce, Samuel"],"tags":["spatial analysis","urban tree cover","urban","trees","Chicago","forest","urban forest","spatial inequality"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2020","doi":"10.6082/va557-y6j65","addedAt":"2026-08-31T06:39:47.154Z","updatedAt":"2026-08-31T06:39:56.014Z"},{"id":"doi:10.6082/uchicago.2788","name":"Renters, Buildings and Scale: A Spatial Analysis of Urban Tree Cover in Chicago","source":"datacite","abstract":"Trees play an important role in the function of urban ecosystems. Beyond their role as a habitat for birds and other animals, trees provide an array of essential ecosystem services: stormwater management (Berland et al. 2017), temperature control (Coseo and Larsen 2014), air pollution reduction (Nowak, Crane and Stevens 2006), and carbon sequestration (Kendall and McPherson 2012), among other ecosystem services. Recent research has focused on the relationship between rentership rates and the distribution of this environmental amenity in residential areas. The landmark research on this subject is from Perkins, Heynen and Wilson (2004), who examined a tree-planting program in Milwaukee and found a statistically significant negative correlation between rentership rates and residential canopy cover at the census tract level. Based on their review of the literature on differences between renter and owner-occupied housing, the authors suggest two factors that may produce this relationship: residential mobility, as renters are relatively transient and are unlikely to ever benefit from the trees they plant, and housing maintenance, as it is disadvantageous for renters to invest in improvements that enhance property values and may result in rising rents. Several other studies have investigated this relationship and have similarly found an inverse correlation between rentership and lower tree cover, in various cities at various spatial scales (Heynen, Perkins and Roy 2006; Landry and Chakraborty 2009; Koo et al. 2019). Although tree cover is not necessarily a perfect proxy for the ecosystem services provided by the urban forest, as Riley and Gardiner (2020) found in their comparison of tree canopy cover with a spatial measure of ecosystem service dollars, it remains a readily available and widely-used figure to assess the distribution of these benefits.","url":"https://doi.org/10.6082/uchicago.2788","authors":["Joyce, Samuel"],"tags":["spatial analysis","urban tree cover","urban","trees","Chicago","forest","urban forest","spatial inequality"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2020","doi":"10.6082/uchicago.2788","addedAt":"2026-08-31T06:39:47.154Z","updatedAt":"2026-08-31T06:39:56.014Z"},{"id":"doi:10.5281/zenodo.20638525","name":"Urban Air Pollution Due to Transportation","source":"datacite","abstract":"Urban air pollution has become one of the most critical environmental and public health challenges affecting modern cities worldwide. Rapid urbanization, population growth, industrialization, and increasing transportation activities have significantly contributed to deterioration of urban air quality. Among various pollution sources, the transportation sector is one of the largest contributors to urban air pollution due to emissions from automobiles, buses, trucks, motorcycles, railways, and other fuel-powered transportation systems. Vehicular emissions release harmful pollutants such as carbon monoxide, nitrogen oxides, sulfur dioxide, particulate matter, hydrocarbons, and greenhouse gases into the atmosphere, negatively affecting human health, environmental sustainability, and climate stability. Urban air pollution caused by transportation leads to respiratory diseases, cardiovascular problems, environmental degradation, reduced visibility, acid rain, and global warming. This article presents a comprehensive review of urban air pollution due to transportation, including sources, pollutant characteristics, environmental impacts, health effects, monitoring techniques, sustainable transportation systems, pollution control measures, and smart urban mobility solutions. The study examines technological advancements, government policies, electric vehicles, intelligent transportation systems, and green infrastructure approaches for reducing transportation-related air pollution. The findings indicate that integrated sustainable transportation planning and emission control strategies significantly improve urban air quality and environmental sustainability. The article also discusses implementation challenges, policy frameworks, and future trends in clean transportation and smart urban environmental management","url":"https://doi.org/10.5281/zenodo.20638525","authors":["P Abhilash"],"tags":["urban air pollution, transportation emissions, vehicular pollution, sustainable transportation, air quality, greenhouse gases, smart mobility, environmental sustainability"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.20638525","addedAt":"2026-08-31T06:39:47.154Z","updatedAt":"2026-08-31T06:39:56.014Z"},{"id":"doi:10.5281/zenodo.20638526","name":"Urban Air Pollution Due to Transportation","source":"datacite","abstract":"Urban air pollution has become one of the most critical environmental and public health challenges affecting modern cities worldwide. Rapid urbanization, population growth, industrialization, and increasing transportation activities have significantly contributed to deterioration of urban air quality. Among various pollution sources, the transportation sector is one of the largest contributors to urban air pollution due to emissions from automobiles, buses, trucks, motorcycles, railways, and other fuel-powered transportation systems. Vehicular emissions release harmful pollutants such as carbon monoxide, nitrogen oxides, sulfur dioxide, particulate matter, hydrocarbons, and greenhouse gases into the atmosphere, negatively affecting human health, environmental sustainability, and climate stability. Urban air pollution caused by transportation leads to respiratory diseases, cardiovascular problems, environmental degradation, reduced visibility, acid rain, and global warming. This article presents a comprehensive review of urban air pollution due to transportation, including sources, pollutant characteristics, environmental impacts, health effects, monitoring techniques, sustainable transportation systems, pollution control measures, and smart urban mobility solutions. The study examines technological advancements, government policies, electric vehicles, intelligent transportation systems, and green infrastructure approaches for reducing transportation-related air pollution. The findings indicate that integrated sustainable transportation planning and emission control strategies significantly improve urban air quality and environmental sustainability. The article also discusses implementation challenges, policy frameworks, and future trends in clean transportation and smart urban environmental management","url":"https://doi.org/10.5281/zenodo.20638526","authors":["P Abhilash"],"tags":["urban air pollution, transportation emissions, vehicular pollution, sustainable transportation, air quality, greenhouse gases, smart mobility, environmental sustainability"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.20638526","addedAt":"2026-08-31T06:39:47.154Z","updatedAt":"2026-08-31T06:39:56.014Z"},{"id":"doi:10.5281/zenodo.20637942","name":"Graph Theory in Daily Life: Using Small-Scale Graphs to Optimize School Bus Routing","source":"datacite","abstract":"Abstract The School Bus Routing Problem (SBRP) represents a critical challenge in modern logistics and public transportation management. It is a specialized, NP-hard variant of the Vehicle Routing Problem (VRP) that necessitates the sophisticated design of bus routes to ensure safe, cost-effective, and timely student transportation. This article explores the application of graph theory as a rigorous mathematical framework to model and optimize these complex networks. By representing bus stops as vertices and road segments as weighted edges, graph-based heuristic approaches provide scalable solutions for minimizing operational costs, fuel consumption, and total student travel time. This study reviews foundational optimization methods—including branch-and-bound techniques, tabu search, and GIS-integrated clustering—within the transportation research. The objective is to demonstrate how topological graph analysis transforms the chaotic nature of daily school commutes into structured, efficient logistical operations, emphasizing the transition from manual, intuition-based routing to data-driven algorithmic models. Furthermore, it addresses the evolution of SBRP from simple distance minimization to complex multi-objective optimization that balances safety, vehicle capacity, and strict school bell-time synchronization, highlighting the move toward sustainable smart-city transportation systems. The article argues that the application of graph theory is not merely a technical necessity for efficiency, but a foundational requirement for creating modern, equitable, and resilient community infrastructure that serves the growing demands of urban education. By harnessing these mathematical tools, school districts are better positioned to balance the competing needs of fiscal responsibility and service quality in an increasingly complex urban landscape. This research illuminates the intersection of abstract graph topology and the real-world, human-centric demands of safe student transit, underscoring the shift toward data-centric governance in public services. Beyond mere optimization, this framework establishes a baseline for future autonomous transit integration and long-term urban planning resilience, proving that the geometry of a commute is as vital as the destination itself. Keywords: Graph Theory, School Bus Routing Problem (SBRP), Vehicle Routing Problem (VRP), Network Optimization, Heuristic Algorithms, Logistics Management, GIS, Operations Research. 1.Introduction In daily life, the efficiency of school transportation systems acts as a silent but powerful determinant of city traffic congestion, fuel consumption, and student welfare. Unlike standard commercial logistics, which often prioritize the delivery of inanimate goods, the SBRP involves determining a fleet schedule that collects students from designated home-vicinity stops and delivers them to schools while strictly satisfying human-centric constraints, such as limited bus capacity, maximum acceptable walking distances for children, and rigid school arrival time windows. Because the problem is NP-hard, exact algorithms—which aim to find the globally optimal route—quickly become computationally intractable as the number of students and stops grows, necessitating the use of sophisticated heuristic and meta-heuristic approaches. The challenge is compounded by urban road network variability, where travel times fluctuate drastically based on peak-hour congestion, road maintenance, and weather patterns, requiring models that can accommodate dynamic edge weights. This introduction underscores the necessity of moving beyond traditional manual planning methods, which often lead to sub-optimal route length and inefficient vehicle utilization. As school districts grow, the manual coordination of hundreds of stops becomes error-prone and unable to adapt to sudden changes, such as new residential developments or changes in school attendance boundaries. Algorithmic modeling offers a way t","url":"https://doi.org/10.5281/zenodo.20637942","authors":["Ningappа К"],"tags":["Graph Theory, School Bus Routing Problem (SBRP), Vehicle Routing Problem (VRP), Network Optimization, Heuristic Algorithms, Logistics Management, GIS, Operations Research"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2015","doi":"10.5281/zenodo.20637942","addedAt":"2026-08-31T06:39:47.154Z","updatedAt":"2026-08-31T06:39:56.014Z"},{"id":"doi:10.5281/zenodo.20637943","name":"Graph Theory in Daily Life: Using Small-Scale Graphs to Optimize School Bus Routing","source":"datacite","abstract":"Abstract The School Bus Routing Problem (SBRP) represents a critical challenge in modern logistics and public transportation management. It is a specialized, NP-hard variant of the Vehicle Routing Problem (VRP) that necessitates the sophisticated design of bus routes to ensure safe, cost-effective, and timely student transportation. This article explores the application of graph theory as a rigorous mathematical framework to model and optimize these complex networks. By representing bus stops as vertices and road segments as weighted edges, graph-based heuristic approaches provide scalable solutions for minimizing operational costs, fuel consumption, and total student travel time. This study reviews foundational optimization methods—including branch-and-bound techniques, tabu search, and GIS-integrated clustering—within the transportation research. The objective is to demonstrate how topological graph analysis transforms the chaotic nature of daily school commutes into structured, efficient logistical operations, emphasizing the transition from manual, intuition-based routing to data-driven algorithmic models. Furthermore, it addresses the evolution of SBRP from simple distance minimization to complex multi-objective optimization that balances safety, vehicle capacity, and strict school bell-time synchronization, highlighting the move toward sustainable smart-city transportation systems. The article argues that the application of graph theory is not merely a technical necessity for efficiency, but a foundational requirement for creating modern, equitable, and resilient community infrastructure that serves the growing demands of urban education. By harnessing these mathematical tools, school districts are better positioned to balance the competing needs of fiscal responsibility and service quality in an increasingly complex urban landscape. This research illuminates the intersection of abstract graph topology and the real-world, human-centric demands of safe student transit, underscoring the shift toward data-centric governance in public services. Beyond mere optimization, this framework establishes a baseline for future autonomous transit integration and long-term urban planning resilience, proving that the geometry of a commute is as vital as the destination itself. Keywords: Graph Theory, School Bus Routing Problem (SBRP), Vehicle Routing Problem (VRP), Network Optimization, Heuristic Algorithms, Logistics Management, GIS, Operations Research. 1.Introduction In daily life, the efficiency of school transportation systems acts as a silent but powerful determinant of city traffic congestion, fuel consumption, and student welfare. Unlike standard commercial logistics, which often prioritize the delivery of inanimate goods, the SBRP involves determining a fleet schedule that collects students from designated home-vicinity stops and delivers them to schools while strictly satisfying human-centric constraints, such as limited bus capacity, maximum acceptable walking distances for children, and rigid school arrival time windows. Because the problem is NP-hard, exact algorithms—which aim to find the globally optimal route—quickly become computationally intractable as the number of students and stops grows, necessitating the use of sophisticated heuristic and meta-heuristic approaches. The challenge is compounded by urban road network variability, where travel times fluctuate drastically based on peak-hour congestion, road maintenance, and weather patterns, requiring models that can accommodate dynamic edge weights. This introduction underscores the necessity of moving beyond traditional manual planning methods, which often lead to sub-optimal route length and inefficient vehicle utilization. As school districts grow, the manual coordination of hundreds of stops becomes error-prone and unable to adapt to sudden changes, such as new residential developments or changes in school attendance boundaries. Algorithmic modeling offers a way t","url":"https://doi.org/10.5281/zenodo.20637943","authors":["Ningappа К"],"tags":["Graph Theory, School Bus Routing Problem (SBRP), Vehicle Routing Problem (VRP), Network Optimization, Heuristic Algorithms, Logistics Management, GIS, Operations Research"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2015","doi":"10.5281/zenodo.20637943","addedAt":"2026-08-31T06:39:47.154Z","updatedAt":"2026-08-31T06:39:56.014Z"},{"id":"doi:10.5281/zenodo.20637880","name":"QUESTIONS OF REGULATION OF THE NEGATIVE CONSEQUENCES DEALING WITH THE URBANIZATION OF TASHKENT CITY FOR THE COMING DECADES","source":"datacite","abstract":"Several global questions as transport, energetics, ecology, water service and control on the household waste of regulation of negative consequences dealing with the prognosis degree of urbanization of Tashkent city for the coming decades have been discussed. The problem of chronic traffic jams in Tashkent can be solve through implementation “Mobility-as-a-Service” conception. Adaptation the analogic solutions in Tashkent allows in 2030 to decrease the road congestion level to 20-25% and reduce the average travel time in the peak hours from the current 60 minutes to 45 ones. For increasing stability of power supply in cities it is appropriate to consider the possibility using decentralized solutions such as virtual electric stations and local micro networks. In Tashkent conditions the similar technologies can reduce power outages in the supply of electricity to 30% and provide up to 15% energy savings because of decentralized generation and load optimization. For improving the ecologic situation, the perspective instrument can be implementation of “digital city’s double”. For Tashkent implementation of the analogical platform can be base for more rational urban planning, monitoring of state green areas and controlling the air quality. Using “digital double” allows prognose effectively the heat islands, define optimal places for greening and controlling the pollution level. On the predicting estimations it can increase green spaces area in 2030 to 15% and also reduce impact of the heat islands and PM2.5 concentration to 10-12% because of the exact planning and integration of the green technologies. For solving problems of outdated water supply networks and great water losses to Tashkent is required transferring to smart controlling systems. Adaptation of similar solutions in Tashkent allows to increase efficiency of working the water supply networks, reduce losses to 15-20%, decrease emergence situations number to 15% and provide uniform distribution of water in the new residential areas. For increasing efficiency working with waste, we need to develop the modern complex of reproduction and implement system of the separate collection of waste. For Tashkent implementation of similar practices allows to increase reproduction level of waste from current 6-10% up to 35-40% in 2030, reduce the load on landfills and decrease the methane emissions.","url":"https://doi.org/10.5281/zenodo.20637880","authors":["T.Z. Nasirov","O.J. Achilov"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.20637880","addedAt":"2026-08-31T06:39:47.154Z","updatedAt":"2026-08-31T06:39:47.154Z"},{"id":"doi:10.5281/zenodo.20637879","name":"QUESTIONS OF REGULATION OF THE NEGATIVE CONSEQUENCES DEALING WITH THE URBANIZATION OF TASHKENT CITY FOR THE COMING DECADES","source":"datacite","abstract":"Several global questions as transport, energetics, ecology, water service and control on the household waste of regulation of negative consequences dealing with the prognosis degree of urbanization of Tashkent city for the coming decades have been discussed. The problem of chronic traffic jams in Tashkent can be solve through implementation “Mobility-as-a-Service” conception. Adaptation the analogic solutions in Tashkent allows in 2030 to decrease the road congestion level to 20-25% and reduce the average travel time in the peak hours from the current 60 minutes to 45 ones. For increasing stability of power supply in cities it is appropriate to consider the possibility using decentralized solutions such as virtual electric stations and local micro networks. In Tashkent conditions the similar technologies can reduce power outages in the supply of electricity to 30% and provide up to 15% energy savings because of decentralized generation and load optimization. For improving the ecologic situation, the perspective instrument can be implementation of “digital city’s double”. For Tashkent implementation of the analogical platform can be base for more rational urban planning, monitoring of state green areas and controlling the air quality. Using “digital double” allows prognose effectively the heat islands, define optimal places for greening and controlling the pollution level. On the predicting estimations it can increase green spaces area in 2030 to 15% and also reduce impact of the heat islands and PM2.5 concentration to 10-12% because of the exact planning and integration of the green technologies. For solving problems of outdated water supply networks and great water losses to Tashkent is required transferring to smart controlling systems. Adaptation of similar solutions in Tashkent allows to increase efficiency of working the water supply networks, reduce losses to 15-20%, decrease emergence situations number to 15% and provide uniform distribution of water in the new residential areas. For increasing efficiency working with waste, we need to develop the modern complex of reproduction and implement system of the separate collection of waste. For Tashkent implementation of similar practices allows to increase reproduction level of waste from current 6-10% up to 35-40% in 2030, reduce the load on landfills and decrease the methane emissions.","url":"https://doi.org/10.5281/zenodo.20637879","authors":["T.Z. Nasirov","O.J. Achilov"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.20637879","addedAt":"2026-08-31T06:39:47.154Z","updatedAt":"2026-08-31T06:39:47.154Z"},{"id":"doi:10.48550/arxiv.2510.04186","name":"From Patchwork to Network: A Comprehensive Framework for Demand Analysis and Fleet Optimization of Urban Air Mobility","source":"datacite","abstract":"Urban Air Mobility (UAM) presents a transformative vision for metropolitan transportation, but its practical implementation is hindered by substantial infrastructure costs and operational complexities. We address these challenges by modeling a UAM network that leverages existing regional airports and operates with an optimized, heterogeneous fleet of aircraft. We introduce LPSim, a Large-Scale Parallel Simulation framework that utilizes multi-GPU computing to co-optimize UAM demand, fleet operations, and ground transportation interactions simultaneously. Our equilibrium search algorithm is extended to accurately forecast demand and determine the most efficient fleet composition. Applied to a case study of the San Francisco Bay Area, our results demonstrate that this UAM model can yield over 20 minutes' travel time savings for 230,000 selected trips. However, the analysis also reveals that system-wide success is critically dependent on seamless integration with ground access and dynamic scheduling.","url":"https://doi.org/10.48550/arxiv.2510.04186","authors":["Jiang, Xuan","Zhou, Xuanyu","Zhao, Yibo","Cao, Shangqing","He, Haoze","Zhao, Jinhua","Hansen, Mark","Sengupta, Raja"],"tags":["Distributed, Parallel, and Cluster Computing (cs.DC)","FOS: Computer and information sciences","FOS: Computer and information sciences"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.48550/arxiv.2510.04186","addedAt":"2026-08-31T06:39:47.154Z","updatedAt":"2026-08-31T06:39:47.154Z"},{"id":"doi:10.6084/m9.figshare.32610978.v1","name":"Adaptive Human Mobility and Personal Microclimate Integrated System (AHMPMIS) / Sistema Integrado de Movilidad Humana Adaptativa y Microclima Personal (SIMHAMP)","source":"datacite","abstract":"Adaptive Human Mobility and Personal Microclimate Integrated System (AHMPMIS)A Technological Platform for Affordable Mobility, Thermal Comfort, and Climate Adaptation1. Executive SummaryThis proposal presents the development of an integrated personal equipment system designed to improve human mobility in urban and rural environments exposed to high temperatures.The system combines technologies involving:personal cooling,intelligent ventilation,adaptive cushioning,physiological monitoring,energy efficiency.The objective is to enable individuals to travel by walking, bicycle, or light motorcycle with greater comfort, reduced thermal stress, and lower dependence on transportation systems with high operating costs.2. Problem BackgroundIn many regions of the world, particularly in tropical and subtropical climates, high temperatures constitute a significant barrier to active mobility.Major limiting factors include:thermal stress,premature fatigue,dehydration,reduced physical performance,discomfort during extended travel.These conditions particularly affect:workers,students,cyclists,motorcyclists,delivery personnel,farmers,service workers.3. Central HypothesisIt is proposed that an integrated system of personal thermal regulation and biomechanical assistance could significantly improve comfort during transportation, encouraging mobility methods with lower economic and energy costs.The fundamental hypothesis is: Reducing perceived thermal stress may increase practical human mobility capacity in hot environments. 4. Intelligent Personal Microclimate HelmetProposed FunctionsExternal air intake.Particle and pollutant filtration.Assisted ventilation.Air distribution toward the face and respiratory pathways.Physiological BasisThe inhalation of cooler air may contribute to:reducing subjective heat perception,improving comfort sensation,enhancing concentration,decreasing thermal fatigue.5. Adaptive Cooling Clothing SystemComponentshighly breathable fabrics,low-energy micro-fans,phase-change materials,environmental sensors.Objectivesreduce body heat accumulation,improve thermal dissipation,maintain long-term comfort conditions.6. Adaptive Cushioning FootwearConceptA dynamic impact absorption system capable of adapting to different usage conditions:urban walking,cycling,uneven terrain.Potential Benefitsreduced muscular fatigue,lower joint impact,improved biomechanical efficiency.7. Integrated Energy ManagementThe system may incorporate:rechargeable batteries,partial kinetic energy recovery,intelligent energy optimization.The architecture would be designed to maximize autonomy while minimizing weight.8. Mobility ApplicationsUrban WalkingImproved comfort during daily commuting.CyclingEnhanced comfort in hot climates.Light MotorcyclesReduced thermal stress during prolonged travel.Outdoor WorkApplications for:construction,agriculture,logistics,urban services.9. Potential ImpactEconomicreduction in personal transportation costs,decreased dependence on fossil fuels.Environmentalpotential reduction in transportation-related emissions.Socialexpanded mobility options for lower-income populations.Healthreduced exposure to thermal stress.10. Technological ChallengesThe primary challenges include:energy autonomy,weight reduction,component durability,manufacturing costs,long-term ergonomic comfort.11. Innovation ElementThe primary innovation does not reside in an isolated component but in the coordinated integration of:thermal regulation,biomechanical assistance,intelligent monitoring,sustainable mobility.The proposal introduces the concept of:\"Personal Microclimate for Human Mobility\"12. ConclusionThe Adaptive Human Mobility and Personal Microclimate Integrated System (AHMPMIS) represents a conceptual proposal aimed at exploring new forms of efficient mobility in high-temperature environments.The combination of personal cooling, physical assistance, and energy optimization could contribute to the development of accessible solutions for millions of people","url":"https://doi.org/10.6084/m9.figshare.32610978.v1","authors":["Riveros, Ricardo"],"tags":["Environmental engineering not elsewhere classified"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.6084/m9.figshare.32610978.v1","addedAt":"2026-08-31T06:39:47.154Z","updatedAt":"2026-08-31T06:39:47.154Z"},{"id":"doi:10.6084/m9.figshare.32610978.v2","name":"Adaptive Human Mobility and Personal Microclimate Integrated System (AHMPMIS) / Sistema Integrado de Movilidad Humana Adaptativa y Microclima Personal (SIMHAMP)","source":"datacite","abstract":"Please read the attached PDFs / Favor leer anexos adjuntos en PDF Adaptive Human Mobility and Personal Microclimate Integrated System (AHMPMIS) A Technological Platform for Affordable Mobility, Thermal Comfort, and Climate Adaptation1. Executive SummaryThis proposal presents the development of an integrated personal equipment system designed to improve human mobility in urban and rural environments exposed to high temperatures.The system combines technologies involving:personal cooling,intelligent ventilation,adaptive cushioning,physiological monitoring,energy efficiency.The objective is to enable individuals to travel by walking, bicycle, or light motorcycle with greater comfort, reduced thermal stress, and lower dependence on transportation systems with high operating costs.2. Problem BackgroundIn many regions of the world, particularly in tropical and subtropical climates, high temperatures constitute a significant barrier to active mobility.Major limiting factors include:thermal stress,premature fatigue,dehydration,reduced physical performance,discomfort during extended travel.These conditions particularly affect:workers,students,cyclists,motorcyclists,delivery personnel,farmers,service workers.3. Central HypothesisIt is proposed that an integrated system of personal thermal regulation and biomechanical assistance could significantly improve comfort during transportation, encouraging mobility methods with lower economic and energy costs.The fundamental hypothesis is: Reducing perceived thermal stress may increase practical human mobility capacity in hot environments. 4. Intelligent Personal Microclimate HelmetProposed FunctionsExternal air intake.Particle and pollutant filtration.Assisted ventilation.Air distribution toward the face and respiratory pathways.Physiological BasisThe inhalation of cooler air may contribute to:reducing subjective heat perception,improving comfort sensation,enhancing concentration,decreasing thermal fatigue.5. Adaptive Cooling Clothing SystemComponentshighly breathable fabrics,low-energy micro-fans,phase-change materials,environmental sensors.Objectivesreduce body heat accumulation,improve thermal dissipation,maintain long-term comfort conditions.6. Adaptive Cushioning FootwearConceptA dynamic impact absorption system capable of adapting to different usage conditions:urban walking,cycling,uneven terrain.Potential Benefitsreduced muscular fatigue,lower joint impact,improved biomechanical efficiency.7. Integrated Energy ManagementThe system may incorporate:rechargeable batteries,partial kinetic energy recovery,intelligent energy optimization.The architecture would be designed to maximize autonomy while minimizing weight.8. Mobility ApplicationsUrban WalkingImproved comfort during daily commuting.CyclingEnhanced comfort in hot climates.Light MotorcyclesReduced thermal stress during prolonged travel.Outdoor WorkApplications for:construction,agriculture,logistics,urban services.9. Potential ImpactEconomicreduction in personal transportation costs,decreased dependence on fossil fuels.Environmentalpotential reduction in transportation-related emissions.Socialexpanded mobility options for lower-income populations.Healthreduced exposure to thermal stress.10. Technological ChallengesThe primary challenges include:energy autonomy,weight reduction,component durability,manufacturing costs,long-term ergonomic comfort.11. Innovation ElementThe primary innovation does not reside in an isolated component but in the coordinated integration of:thermal regulation,biomechanical assistance,intelligent monitoring,sustainable mobility.The proposal introduces the concept of:\"Personal Microclimate for Human Mobility\"12. ConclusionThe Adaptive Human Mobility and Personal Microclimate Integrated System (AHMPMIS) represents a conceptual proposal aimed at exploring new forms of efficient mobility in high-temperature environments.The combination of personal cooling, physical assistance, and energy optimization could contribut","url":"https://doi.org/10.6084/m9.figshare.32610978.v2","authors":["Riveros, Ricardo"],"tags":["Environmental engineering not elsewhere classified"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.6084/m9.figshare.32610978.v2","addedAt":"2026-08-31T06:39:47.154Z","updatedAt":"2026-08-31T06:39:47.154Z"},{"id":"doi:10.6084/m9.figshare.32610978","name":"Adaptive Human Mobility and Personal Microclimate Integrated System (AHMPMIS) / Sistema Integrado de Movilidad Humana Adaptativa y Microclima Personal (SIMHAMP)","source":"datacite","abstract":"Please read the attached PDFs / Favor leer anexos adjuntos en PDF Adaptive Human Mobility and Personal Microclimate Integrated System (AHMPMIS) A Technological Platform for Affordable Mobility, Thermal Comfort, and Climate Adaptation1. Executive SummaryThis proposal presents the development of an integrated personal equipment system designed to improve human mobility in urban and rural environments exposed to high temperatures.The system combines technologies involving:personal cooling,intelligent ventilation,adaptive cushioning,physiological monitoring,energy efficiency.The objective is to enable individuals to travel by walking, bicycle, or light motorcycle with greater comfort, reduced thermal stress, and lower dependence on transportation systems with high operating costs.2. Problem BackgroundIn many regions of the world, particularly in tropical and subtropical climates, high temperatures constitute a significant barrier to active mobility.Major limiting factors include:thermal stress,premature fatigue,dehydration,reduced physical performance,discomfort during extended travel.These conditions particularly affect:workers,students,cyclists,motorcyclists,delivery personnel,farmers,service workers.3. Central HypothesisIt is proposed that an integrated system of personal thermal regulation and biomechanical assistance could significantly improve comfort during transportation, encouraging mobility methods with lower economic and energy costs.The fundamental hypothesis is: Reducing perceived thermal stress may increase practical human mobility capacity in hot environments. 4. Intelligent Personal Microclimate HelmetProposed FunctionsExternal air intake.Particle and pollutant filtration.Assisted ventilation.Air distribution toward the face and respiratory pathways.Physiological BasisThe inhalation of cooler air may contribute to:reducing subjective heat perception,improving comfort sensation,enhancing concentration,decreasing thermal fatigue.5. Adaptive Cooling Clothing SystemComponentshighly breathable fabrics,low-energy micro-fans,phase-change materials,environmental sensors.Objectivesreduce body heat accumulation,improve thermal dissipation,maintain long-term comfort conditions.6. Adaptive Cushioning FootwearConceptA dynamic impact absorption system capable of adapting to different usage conditions:urban walking,cycling,uneven terrain.Potential Benefitsreduced muscular fatigue,lower joint impact,improved biomechanical efficiency.7. Integrated Energy ManagementThe system may incorporate:rechargeable batteries,partial kinetic energy recovery,intelligent energy optimization.The architecture would be designed to maximize autonomy while minimizing weight.8. Mobility ApplicationsUrban WalkingImproved comfort during daily commuting.CyclingEnhanced comfort in hot climates.Light MotorcyclesReduced thermal stress during prolonged travel.Outdoor WorkApplications for:construction,agriculture,logistics,urban services.9. Potential ImpactEconomicreduction in personal transportation costs,decreased dependence on fossil fuels.Environmentalpotential reduction in transportation-related emissions.Socialexpanded mobility options for lower-income populations.Healthreduced exposure to thermal stress.10. Technological ChallengesThe primary challenges include:energy autonomy,weight reduction,component durability,manufacturing costs,long-term ergonomic comfort.11. Innovation ElementThe primary innovation does not reside in an isolated component but in the coordinated integration of:thermal regulation,biomechanical assistance,intelligent monitoring,sustainable mobility.The proposal introduces the concept of:\"Personal Microclimate for Human Mobility\"12. ConclusionThe Adaptive Human Mobility and Personal Microclimate Integrated System (AHMPMIS) represents a conceptual proposal aimed at exploring new forms of efficient mobility in high-temperature environments.The combination of personal cooling, physical assistance, and energy optimization could contribut","url":"https://doi.org/10.6084/m9.figshare.32610978","authors":["Riveros, Ricardo"],"tags":["Environmental engineering not elsewhere classified"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.6084/m9.figshare.32610978","addedAt":"2026-08-31T06:39:47.154Z","updatedAt":"2026-08-31T06:39:47.154Z"},{"id":"doi:10.18725/oparu-60148","name":"Special information needs in emerging automated transportation systems","source":"datacite","abstract":"As personal mobility becomes increasingly automated and diverse, the traditional relationship between driver, vehicle, and environment is fundamentally changing. In highly automated transportation systems (ATS), drivers transition from active operators to passive passengers, no longer controlling the vehicle. While automation promises increased safety, this shift also introduces new challenges as passengers have to understand vehicle behavior, assess safety, and develop an appropriate level of trust. Prior research has shown that insufficient situation awareness can affect trust, particularly in unfamiliar or novel mobility contexts. Here, user interfaces play a central role in addressing this challenge by conveying information from the ATS to the passengers, thereby enhancing their trust. However, existing approaches to interface design for automated transportation often treat information needs as uniform, overlooking the role of vehicle modality, environmental context, and passenger abilities in shaping how information should be conveyed. This gap becomes especially evident when considering emerging transportation modalities, such as automated urban air mobility (UAM), or passenger groups with reduced perceptual abilities. To address this gap, this dissertation introduces the Passenger-Vehicle-Environment (PVE) model as a structural framework for guiding how the user interface should adapt based on the vehicle modality, passenger abilities, and environmental/situational context. It explores the three dimensions of the PVE model through six core publications spanning two application domains: interface designs for automated urban air mobility and interfaces for passengers who are blind or visually impaired in highly automated ground vehicles. Using a combination of virtual reality simulations, participatory design workshops, and controlled lab user studies, the dissertation explores predictive trajectory visualizations, multimodal interfaces, and non-visual interaction techniques for conveying system states, intentions, and potential hazards. Synthesizing the findings from the core publications provides user interface design implications from each PVE dimension's perspective. Along the vehicle dimension, interface design should account for the inherent reference infrastructure of the ATS. While ground-based systems benefit from perceptual anchors like roads or rails, air taxis operate in unconstrained three-dimensional space. Hence, interfaces should compensate for the absence of reference by conveying predictive trajectory visualization. Along the passenger dimension, trust depends on tailoring information conveyance to their perceptual and cognitive abilities. Expert users, such as pilots, benefit from dense technical information, whereas inexperienced passengers benefit from simplified, abstracted information. Trust is enhanced when information can be requested on demand and conveyed across multiple modalities, providing redundancy across sensory channels and accommodating individual perceptual abilities. For example, this is useful in the context of visual impairment. Along the \\environment dimension, information needs shift with situational demand: ordinary situations may require only minimal feedback, whereas adverse weather, emergencies, and complex environments call for richer, more explanatory, and multimodal information to maintain perceived safety and trust. Overall, the synthesized findings of this dissertation offer implications for designing adaptive passenger interfaces that foster trust across different types of ATSs, abilities, and environmental contexts.","url":"https://doi.org/10.18725/oparu-60148","authors":["Meinhardt, Luca Maxim"],"tags":["Automated Transportation Systems","Urban Air Mobility","Accessibility","Trust in Automation","DDC 620 / Engineering &amp; allied operations","Local transit accessibility","Human-computer interaction","Mensch-Maschine-Kommunikation"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.18725/oparu-60148","addedAt":"2026-08-31T06:39:47.154Z","updatedAt":"2026-08-31T06:39:47.154Z"},{"id":"doi:10.5281/zenodo.20591577","name":"ELECTRIC BUSES AND SUSTAINABLE MOBILITY: A STUDY OF STUDENTS' DAILY TRAVEL BEHAVIOUR IN NAVI MUMBAI","source":"datacite","abstract":"Urban transport electrification is central to sustainable mobility transitions in emerging economies. Indian cities face escalating congestion, vehicular emissions, and air pollution due to rapid urbanization. This study investigates awareness, adoption behaviour, service perception, and sustainability attitudes toward electric buses among college students in Navi Mumbai. A descriptive research design was adopted using a structured questionnaire (N = 82). Findings reveal high awareness (82%) but moderate adoption (58%), indicating a 24% awareness–usage gap. Environmental perception is strongly positive, with over 85% acknowledging pollution reduction benefits. However, operational constraints such as limited route coverage and service frequency hinder wider adoption. The study provides policy recommendations including infrastructure expansion, digital service integration, and student-focused fare incentives. Results contribute to sustainable transport discourse in rapidly urbanizing Indian cities and align with global climate goals.","url":"https://doi.org/10.5281/zenodo.20591577","authors":["Hital Mhatre, Samiksha Bhaiyen and Asst. Prof. Bisini Vinaykumar"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.20591577","addedAt":"2026-08-31T06:39:47.154Z","updatedAt":"2026-08-31T06:39:47.154Z"},{"id":"doi:10.5281/zenodo.20591578","name":"ELECTRIC BUSES AND SUSTAINABLE MOBILITY: A STUDY OF STUDENTS' DAILY TRAVEL BEHAVIOUR IN NAVI MUMBAI","source":"datacite","abstract":"Urban transport electrification is central to sustainable mobility transitions in emerging economies. Indian cities face escalating congestion, vehicular emissions, and air pollution due to rapid urbanization. This study investigates awareness, adoption behaviour, service perception, and sustainability attitudes toward electric buses among college students in Navi Mumbai. A descriptive research design was adopted using a structured questionnaire (N = 82). Findings reveal high awareness (82%) but moderate adoption (58%), indicating a 24% awareness–usage gap. Environmental perception is strongly positive, with over 85% acknowledging pollution reduction benefits. However, operational constraints such as limited route coverage and service frequency hinder wider adoption. The study provides policy recommendations including infrastructure expansion, digital service integration, and student-focused fare incentives. Results contribute to sustainable transport discourse in rapidly urbanizing Indian cities and align with global climate goals.","url":"https://doi.org/10.5281/zenodo.20591578","authors":["Hital Mhatre, Samiksha Bhaiyen and Asst. Prof. Bisini Vinaykumar"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.20591578","addedAt":"2026-08-31T06:39:47.154Z","updatedAt":"2026-08-31T06:39:47.154Z"},{"id":"doi:10.17615/9tsd-3n32","name":"Evaluating equity in the distribution of public transit benefits: lessons from Bogota's TransMilenio","source":"datacite","abstract":"This paper explores the mobility impacts of Bogot&aacute;, Colombia&rsquo;s decades-long BRT investment on low wealth households and offers guidance for planners working toward equitable distribution of benefits from major transit projects. Bogot&aacute;&rsquo;s TransMilenio BRT system has been widely recognized for positive impacts on congestion, safety, and air quality. Introduced in December 2000 to address a long-term mobility crisis, TransMilenio is the gold standard for low-cost, sustainable urban transport around the&nbsp; world. However, a growing body of evidence suggests that TransMilenio has not improved&mdash;and has perhaps even diminished&mdash;mobility among low wealth households. This paper makes the case for evaluating the impacts of transit investments based not just on ridership, but also on the transit system&rsquo;s ability to meet the needs of lower wealth, transit captive, and/or marginalized individuals. It also summarizes recent research on various impacts of Bogot&aacute;&rsquo;s BRT investment that, when examined holistically, suggest the system has failed to meet its own expectations with respect to equitable distribution of mobility benefits. The paper concludes by discussing potential explanations for this failure and proposing recommendations for planners and policymakers seeking more equitable outcomes for massive transit investments in developing cities.","url":"https://doi.org/10.17615/9tsd-3n32","authors":["Combs, Tabitha S."],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2019","doi":"10.17615/9tsd-3n32","addedAt":"2026-08-31T06:39:47.154Z","updatedAt":"2026-08-31T06:39:47.154Z"},{"id":"doi:10.48550/arxiv.2408.01152","name":"Vertiport Terminal Scheduling and Throughput Analysis for Multiple Surface Directions","source":"datacite","abstract":"Vertical Take-Off and Landing (VTOL) vehicles are gaining traction in both the delivery drone market and passenger transportation, driving the development of Urban Air Mobility (UAM) systems. UAM seeks to alleviate road congestion in dense urban areas by leveraging urban airspace. To handle UAM traffic, vertiport terminals (vertiminals) play a critical role in supporting VTOL vehicle operations such as take-offs, landings, taxiing, passenger boarding, refueling or charging, and maintenance. Efficient scheduling algorithms are essential to manage these operations and optimize vertiminal throughput while ensuring safety protocols. Unlike fixed-wing aircraft, which rely on runways for take-off and climbing in fixed directions, VTOL vehicles can utilize multiple surface directions for climbing and approach. This flexibility necessitates specialized scheduling methods. We propose a Mixed Integer Linear Program (MILP) formulation to holistically optimize vertiminal operations, including taxiing, climbing (or approach) using multiple directions, and turnaround at gates. The proposed MILP reduces delays by up to 50%. Additionally, we derive equations to compute upper bounds of the throughput capacity of vertiminals, considering its core elements: the TLOF pad system, taxiway system, and gate system. Our results demonstrate that the MILP achieves throughput levels consistent with the theoretical maximum derived from these equations. We also validate our framework through a case study using a well-established vertiminal topology from the literature. Our MILP can be used to find the optimal configuration of vertiminal. This dual approach, MILP and throughput analysis, allows for comprehensive capacity analysis without requiring simulations while enabling efficient scheduling through the MILP formulation.","url":"https://doi.org/10.48550/arxiv.2408.01152","authors":["Saxena, Ravi Raj","Prabhakar, T. V.","Kuri, Joy","Yadav, Manogna"],"tags":["Emerging Technologies (cs.ET)","Systems and Control (eess.SY)","FOS: Computer and information sciences","FOS: Computer and information sciences","FOS: Electrical engineering, electronic engineering, information engineering","FOS: Electrical engineering, electronic engineering, information engineering"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.48550/arxiv.2408.01152","addedAt":"2026-08-31T06:39:47.154Z","updatedAt":"2026-08-31T06:39:47.154Z"},{"id":"doi:10.48550/arxiv.1706.00646","name":"A context-aware e-bike system to reduce pollution inhalation while cycling","source":"datacite","abstract":"The effect of transport-related pollution on human health is fast becoming recognised as a major issue in cities worldwide. Cyclists, in particular, face great risks, as they typically are most exposed to tail-pipe emissions. Three avenues are being explored worldwide in the fight against urban pollution: (i) outright bans on polluting vehicles and embracing zero tailpipe emission vehicles; (ii) measuring air-quality as a means to better informing citizens of zones of higher pollution; and (iii) developing smart mobility devices that seek to minimize the effect of polluting devices on citizens as they transport goods and individuals in our cities. Following this latter direction, in this paper we present a new way to protect cyclists from the effect of urban pollution. Namely, by exploiting the actuation possibilities afforded by pedelecs or e-bikes (electric bikes), we design a cyber-physical system that mitigates the effect of urban pollution by indirectly controlling the breathing rate of cyclists in polluted areas. Results from a real device are presented to illustrate the efficacy of our system.","url":"https://doi.org/10.48550/arxiv.1706.00646","authors":["Sweeney, Shaun","Ordonez-Hurtado, Rodrigo","Pilla, Francesco","Russo, Giovanni","Timoney, David","Shorten, Robert"],"tags":["Systems and Control (eess.SY)","FOS: Electrical engineering, electronic engineering, information engineering","FOS: Electrical engineering, electronic engineering, information engineering"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2017","doi":"10.48550/arxiv.1706.00646","addedAt":"2026-08-31T06:39:47.154Z","updatedAt":"2026-08-31T06:39:47.154Z"},{"id":"doi:10.48550/arxiv.2606.02757","name":"Corridor Design and Separation Definition in Advanced Air Mobility: Systematic Literature Review","source":"datacite","abstract":"Advanced Air Mobility (AAM) uses electric vertical take-off and landing (eVTOL) vehicles to address urban congestion and emissions. However, corridor design, operation management, and separation standards remain underexamined for safe high-density operations. This paper applies the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines to systematically review relevant literature from IEEE Xplore and Web of Science, focusing on publications from 2010 to 2024. A Context, Intervention, Mechanism, and Outcome (CIMO) framework guided the development of research questions. After screening 2,039 journal and conference papers, 62 articles met the inclusion criteria. The findings reveal a lack of integrated corridor design approaches, limited operational strategies, and reliance on standards originally designed for conventional aviation. A unified corridor design and separation definition frameworks and taxonomies are proposed to address these shortcomings, informing future investigations and operational frameworks for safe, efficient eVTOL operation deployment in urban settings.","url":"https://doi.org/10.48550/arxiv.2606.02757","authors":["Vinogradov, Evgenii","Mishra, Debashisha","Alobeidli, Mariam Ali Askar","Ali, Jamal Khaled Al","Alshehhi, Ahmed Saleh","Simonjan, Jennifer","Natalizio, Enrico"],"tags":["Systems and Control (eess.SY)","FOS: Electrical engineering, electronic engineering, information engineering"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.48550/arxiv.2606.02757","addedAt":"2026-08-31T06:39:47.154Z","updatedAt":"2026-08-31T06:39:56.014Z"},{"id":"doi:10.48550/arxiv.2606.00504","name":"Like Uber or Like Buses? Economic Feasibility Analysis of UAM for Airport Access","source":"datacite","abstract":"The airport access use case is a promising early-stage application for Urban Air Mobility (UAM). Understanding the operational paradigm of UAM at airports is crucial for making equitable and effective regulatory and management decisions. A central open question is whether UAM will be integrated into the airport transportation network as a conventional scheduled transit service, such as subways and rail, or as a Transportation Network Company (TNC) characterized by dynamic supply-demand matching. In this paper, we propose a two-stage framework for conducting an economic feasibility analysis of UAM networks. In the first stage, we introduce a joint-supply-demand variable pricing problem to evaluate the impact of dynamic pricing on UAM operations. This model uses a binary logit formulation to capture the trade-off between travel time advantages and fare levels. In the second stage, the determined demand is used as input for the Electric Urban Air Mobility Vehicle Routing Problem with Non-linear Charging Time (eUAMVRP-NL), which optimizes fleet scheduling and charging decisions to derive operating revenue and cost estimates. We apply this framework to a case study of the Los Angeles International Airport (LAX) access market with an eight-spoke vertiport network. Our results indicate that UAM operations benefit significantly from TNC-like management; a variable pricing policy can increase operating profits by more than 100\\% compared to fixed-pricing schemes. Furthermore, we identify economies of stage length in longer UAM flights.","url":"https://doi.org/10.48550/arxiv.2606.00504","authors":["Cao, Shangqing","Srinivasan, Rishi Kumar","Sengupta, Raja","Hansen, Mark"],"tags":["Systems and Control (eess.SY)","FOS: Electrical engineering, electronic engineering, information engineering","FOS: Electrical engineering, electronic engineering, information engineering"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.48550/arxiv.2606.00504","addedAt":"2026-08-31T06:39:47.154Z","updatedAt":"2026-08-31T06:39:47.154Z"},{"id":"doi:10.17605/osf.io/aebuh","name":"Category L Vehicles (L1–L4) in Urban Eco-Indicator Frameworks: A Scoping Review","source":"datacite","abstract":"**Data Type** Bibliographic records and structured extraction data from a scoping review on sustainability and eco-indicators applied to Category L vehicles (subcategories L1–L4) in urban mobility contexts. **Data Sources** - Bibliographic records exported from six databases: Scopus, Web of Science Core Collection, TRID, IEEE Xplore, Environmental Science Complete (EBSCO), and ProQuest Transportation Research. - Grey literature from recognised institutional bodies: EEA, WHO, ACEM, EUCAR, OECD/ITF. - Citation chasing (backward/forward) via Google Scholar and Scopus \"Cited by\" function. **Data Structure &amp; Extracted Variables** Data will be organised in a standardised spreadsheet (CSV/Excel) containing the following variables (per Protocol Section 8): • Bibliographic identification: authors, year, title, journal, DOI • Geographic location: country/city (ISO 3166), regional context (Asian/European/Mediterranean/Other) • Vehicle characteristics: L subcategory studied (L1e/L2e/L3e/L4e/Generic PTW), propulsion type • Indicator/framework type: LCA, DPSIR, emission factor, air quality index, ITS-based monitoring; pollutants addressed (NOx, PM2.5, PM10, CO, CO2, CH4, N2O, noise) • Study methodology: modelling, field monitoring, review, experimental, mixed methods • ITS integration: Yes/No/Partial (with tool/sensor specification) • L-disaggregation level: explicit L1–L4 / included in generic \"road transport\" / not applicable • Main findings: structured summary (max. 150 words) • Reported limitations and funding source (if declared) **File Formats** - Zotero library (.ris/.bib) with deduplicated records - Rayyan screening logs (.csv) with inclusion/exclusion decisions and Cohen's kappa calculation - Validated extraction grid (.xlsx/.csv) with coded data for all included studies - PRISMA-ScR flow diagram (.png/.svg) - Database-specific search strings (.txt) **Data Sharing Plan** - All non-sensitive data will be made publicly available on OSF under a CC BY 4.0 license upon review completion and manuscript submission. - Shared data will include: final search strings, anonymised screening logs, complete extraction spreadsheet, and code for evidence map generation (if applicable). - No sensitive or personal data are involved, as this review exclusively analyses published literature and publicly accessible institutional reports. **Data Availability Timeline** - Preliminary data (search strings, protocol): available immediately upon OSF registration (May 2026) - Complete dataset: available by 30 Junly 2026, concurrent with manuscript submission","url":"https://doi.org/10.17605/osf.io/aebuh","authors":["Ferreira, Ronaldo","Lucilene Ferreira Mouzinho","Santos, José Paulo Oliveira","de Bastos Pereira, António Manuel"],"tags":["Mechanical Engineering","FOS: Mechanical engineering","Computer Engineering","Computational Engineering","Biomechanical Engineering","Electrical and Computer Engineering","Electro-Mechanical Systems","Engineering"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.17605/osf.io/aebuh","addedAt":"2026-08-31T06:39:47.154Z","updatedAt":"2026-08-31T06:39:56.014Z"},{"id":"doi:10.48550/arxiv.2605.31243","name":"Safe Arrival Scheduling at Constraint Waypoints in UAM Corridors","source":"datacite","abstract":"This study introduces a novel Air Traffic Control (ATC) concept to support self-separation between vehicles in Urban Air Mobility (UAM) corridors. Our proposed scheme involves sharing intended arrival schedules at Constrained Waypoints (CWPs) among UAM operators. We propose two approaches to assist the arrival scheduling at CWPs by computing the minimum arrival time gap necessary for each pair of vehicles to ensure their safety throughout the flights within the corridor. The first approach considers the minimum separation distance required by the Near Mid-Air-Collision (NMAC) avoidance rules, while the second one is based on the Responsibility-Sensitive Safety (RSS) rules. We demonstrate that the NMAC-rule-based approach can effectively prevent collisions in normal circumstances, where the vehicles adhere to the speed limits of the corridor. However, this approach does not guarantee safety if vehicles exceed the speed limits. Conversely, while the RSS-rule-based approach ensures collision prevention during emergencies when vehicles exceed speed limits, it may require larger arrival time gaps under normal circumstances, which may lead to reduced traffic flow. Our results are confirmed through numerical simulations.","url":"https://doi.org/10.48550/arxiv.2605.31243","authors":["Pruekprasert, Sasinee","Nakadai, Shinji"],"tags":["Systems and Control (eess.SY)","FOS: Electrical engineering, electronic engineering, information engineering","FOS: Electrical engineering, electronic engineering, information engineering"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.48550/arxiv.2605.31243","addedAt":"2026-08-31T06:39:47.154Z","updatedAt":"2026-08-31T06:39:47.154Z"},{"id":"doi:10.60866/cam.304","name":"Crisis as Catalyst: COVID-19 as a Policy Window for Climate Urbanism in Barcelona","source":"datacite","abstract":"The COVID-19 pandemic functioned not only as a public health emergency but also as a systemic shock to urban life, exposing deep-seated spatial inequalities and environmental vulnerabilities. This article examines whether and how the pandemic acted as a policy window for accelerating climate urbanism in Barcelona. Prior to COVID-19, the Catalan metropolis faced structural challenges, including severe air pollution, car-dominated allocation of public space, and uneven access to green areas. Drawing on John Kingdon’s Multiple Streams Framework and scholarship on urban experimentation, this paper argues that the pandemic catalysed the convergence of preexisting climate policy proposals, civic mobilisation, and political opportunity. Barcelona’s expansion of the superblock (superilla) model and the community-led green mobility initiative bicibús are analysed as forms of hybrid climate–health infrastructure: measures that simultaneously reduce greenhouse gas emissions, mitigate urban heat island effects, improve air quality, and enhance accessibility to public space. Rather than representing temporary or purely tactical responses to crisis conditions, these interventions illustrate how moments of disruption can accelerate longer-term structural transitions towards low-carbon, health-oriented urbanism. However, the durability of such transformations depends on governance capacity, sustained political support, and resistance from entrenched mobility and development interests. By positioning Barcelona as a case study of post-pandemic climate urbanism, this article contributes to debates on crisis-driven transformation and highlights the potential for cities to jointly leverage public health and climate change considerations to reimage sustainable and healthy urban futures.","url":"https://doi.org/10.60866/cam.304","authors":["Weichgrebe, Noah Valentin"],"tags":["COVID-19","climate urbanism","Multiple Streams Framework","urban health","superblocks"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.60866/cam.304","addedAt":"2026-08-31T06:39:47.154Z","updatedAt":"2026-08-31T06:39:47.154Z"},{"id":"doi:10.71787/07a1-qc46/1210992.ntigs.2025.1210992","name":"Geographical Distribution of Health and Medical Indicators in Iran","source":"datacite","abstract":"امروزه بهبود شاخص‌های بهداشت و درمان به عنوان یکی از اولویت‌های اصلی سیاست‌گذاری‌های سلامت در سطح ملی و منطقه‌ای مطرح شده است. با توجه به نقش حیاتی این شاخص‌ها در ارتقاء سطح سلامت جمعیت و کاهش نابرابری‌های بهداشتی، شناخت دقیق پراکنش جغرافیایی آن‌ها می‌تواند از اهمیت ویژه‌ای برخوردار باشد به‌طوری‌که تحلیل پراکنش جغرافیایی این شاخص‌ها می‌تواند نقش کلیدی در شناسایی مناطق محروم و اولویت‌بندی برنامه‌های توسعه سلامت ایفا کند. هدف اصلی پژوهش بررسی پراکنش جغرافیایی شاخص‌های بهداشت و درمان در ایران می‌باشد. این پژوهش به لحاظ هدف کاربردی و دارای ماهیت توصیفی-تحلیلی می‌باشد. روش گردآوری اطلاعات به‌صورت کتابخانه‌ای صورت گرفته است. تجزیه‌وتحلیل داده‌های پژوهش به‌صورت کمی و با استفاده از نرم‌افزارهای کاربردی GIS، EXCEL و SPSS صورت گرفته است. در این پژوهش برای وزن دهی شاخص‌ها از مدل OPA، برای رتبه‌بندی برخورداری از شاخص‌های بهداشت و درمان از مدل تصمیم‌گیری کوکوسو و در جهت خوشه‌بندی استان‌ها از روش خوشه‌بندی K-Means استفاده‌شده است. پراکنش جغرافیایی شاخص‌های بهداشت و درمان در ایران نشان‌دهنده نابرابری‌های قابل‌توجه میان مناطق مختلف است. درحالی‌که شهرهای بزرگ و مراکز استان‌ها از امکانات گسترده‌تر و خدمات بهداشتی مطلوب‌تری برخوردارند، مناطق روستایی و محروم‌تر غالباً با کمبود زیرساخت‌ها، نیروی انسانی و تجهیزات پزشکی مواجه هستند. این توزیع نابرابر تأثیر مستقیم بر سلامت و کیفیت زندگی ساکنان این مناطق دارد و منجر به تفاوت‌های قابل‌ملاحظه در شاخص‌های بهداشت عمومی، میزان مرگ‌ومیر، و دسترسی به خدمات درمانی می‌شود. بنابراین، بررسی و تحلیل این توزیع جغرافیایی اهمیت بالایی در سیاست‌گذاری‌های سلامت کشور دارد تا بتوان با هدف کاهش نابرابری‌ها، عدالت در ارائه خدمات بهداشتی و درمانی را تحقق بخشید. چکیده مبسوط فارسی مقدمه امروزه بهبود شاخص‌های بهداشت و درمان به عنوان یکی از اولویت‌های اصلی سیاست‌گذاری‌های سلامت در سطح ملی و منطقه‌ای مطرح شده است. با توجه به نقش حیاتی این شاخص‌ها در ارتقاء سطح سلامت جمعیت و کاهش نابرابری‌های بهداشتی، شناخت دقیق پراکنش جغرافیایی آن‌ها می‌تواند از اهمیت ویژه‌ای برخوردار باشد به‌طوری‌که تحلیل پراکنش جغرافیایی این شاخص‌ها می‌تواند نقش کلیدی در شناسایی مناطق محروم و اولویت‌بندی برنامه‌های توسعه سلامت ایفا کند. در این راستا مطالعات پیشین نشان می‌دهند که علی‌رغم تلاش‌های صورت گرفته، نابرابری‌های جغرافیایی در توزیع خدمات بهداشت و درمان در ایران به‌وضوح مشاهده می‌شود. این نابرابری‌ها نه‌تنها باعث کاهش کیفیت و دسترسی به خدمات سلامت می‌شوند، بلکه بر روی سلامت کلی جمعیت و توسعه پایدار کشور نیز تأثیر منفی دارند؛ بنابراین، شناخت دقیق توزیع فضایی شاخص‌های سلامت و تعیین عوامل مؤثر در نابرابری‌های جغرافیایی، برای سیاست‌گذاران و برنامه‌ریزان سلامت کشور ضروری است. هدف اصلی پژوهش بررسی وضعیت پراکنش جغرافیایی شاخص‌های بهداشت و درمان در ایران می‌باشد که ضمن بررسی وضعیت برخورداری استان‌های کشور از این شاخص‌ها، به‌صورت جغرافیایی نیز به تحلیل فضایی می‌پردازد تا وضعیت کلی از توزیع این شاخص‌ها ارائه گردد. در این راستا فرضیه پژوهش تحت عنوان «به‌نظر می‌رسد پراکنش جغرافیایی شاخص‌های بهداشت و درمان در ایران به‌صورت نابرابر توزیع‌شده است» تدوین‌شده است. داده و روش این پژوهش به لحاظ هدف کاربردی و دارای ماهیت توصیفی-تحلیلی می‌باشد. روش گردآوری اطلاعات به‌صورت کتابخانه‌ای صورت گرفته است. شاخص‌ها و داده‌های آماری پژوهش از گزارش «جایگاه اقتصادی، اجتماعی و فرهنگی استان‌ها» که توسط مرکز آمار ایران (1403) انتشاریافته، گردآوری گردیده است. برای بررسی پراکنش جغرافیایی شاخص‌های بهداشت و درمان از 10 شاخص که شامل نسبت تعداد بيمارستان فعال به جمعيت (تعداد به صدهزار نفر)، نسبت تعداد تخت‌هاي فعال بيمارستاني به جمعيت (تعداد به ده‌هزار نفر)، نسبت تعداد مراکز ارائه‌دهنده مراقبت‌هاي اوليه بهداشتي به جمعيت (تعداد به صدهزار نفر)، نسبت تعداد مراکز خدمات جامع سلامت روستايي به جمعيت روستايي (تعداد به ده‌هزار نفر)، نسبت تعداد خانه‌هاي بهداشت فعال روستاها به جمعيت روستايي (تعداد به ده‌هزار نفر)، نسبت تعداد آزمايشگاه‌هاي تشخيص پزشكي به جمعيت (تعداد به صدهزار نفر)، نسبت تعداد کل مراکز توان‌بخشی پزشكي به جمعيت (تعداد به صدهزار نفر)، نسبت تعداد مراکز پزشكي هسته‌اي مؤسسات راديولوژي و مراکز تصويربرداري پزشكي به جمعيت (تعداد به صدهزار نفر)، نسبت تعداد داروخانه‌ها به جمعيت (تعداد به ده هزار نفر) و نسبت تعداد پايگاه‌هاي اورژانس پيش‌بيمارستاني 115 شهري به جمعيت نقاط شهري (تعداد به صدهزار نفر) است","url":"https://doi.org/10.71787/07a1-qc46/1210992.ntigs.2025.1210992","authors":["Bayramzdeh, Nima"],"tags":["Keywords: Spatial Analysis","Healthcare","Regional Inequality","Iran."],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.71787/07a1-qc46/1210992.ntigs.2025.1210992","addedAt":"2026-08-31T06:39:47.154Z","updatedAt":"2026-08-31T06:39:56.014Z"},{"id":"doi:10.48550/arxiv.2605.23343","name":"From Visual to Digital: Coordination Scheduling and Its Effect on Safety and Efficiency in UAM Corridors","source":"datacite","abstract":"This paper explores scalable coordination strategies for urban air mobility (UAM) corridors by comparing two representative approaches. The first, inspired by visual flight rules (VFR), is a local coordination strategy relying on spatial information available to each vehicle. The second, conceptually aligned with digital flight rules (DFR), is a global coordination strategy based on shared estimated times of arrival (ETAs) at constrained waypoints (CWPs). To support this comparison, we introduce a lightweight disturbance-avoidance mechanism that enables vehicles to adjust their ETAs in response to forecasted disruptions using shared information. We evaluate these approaches through numerical simulations under varying disturbance levels, comparing the locally reactive VFR-style scheme with the globally coordinated DFR-style scheme. Results show that VFR achieves high throughput in low-traffic scenarios but becomes increasingly prone to collisions at higher traffic densities unless conservative separation is enforced, which reduces traffic efficiency. In contrast, DFR maintains more consistent safety performance and traffic efficiency, even under moderate ETA update propagation delays. These findings highlight the advantages of DFR-style global coordination in managing high-density air traffic control (ATC) operations within UAM corridors.","url":"https://doi.org/10.48550/arxiv.2605.23343","authors":["Fujita, Akihiro","Pruekprasert, Sasinee","Nishinari, Katsuhiro","Nakadai, Shinji"],"tags":["Systems and Control (eess.SY)","FOS: Electrical engineering, electronic engineering, information engineering","FOS: Electrical engineering, electronic engineering, information engineering"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.48550/arxiv.2605.23343","addedAt":"2026-08-31T06:39:47.154Z","updatedAt":"2026-08-31T06:39:47.154Z"},{"id":"doi:10.48550/arxiv.2605.23333","name":"Safety-Assured Arrival Scheduling in Sequential UAM Corridor Sections under Speed and Separation Constraints","source":"datacite","abstract":"This paper presents a safety-assured arrival-scheduling framework for Urban Air Mobility (UAM) corridor operations. We propose an analytical method to compute a sufficient ETA gap at Constrained Waypoints (CWPs) that guarantees longitudinal separation along sequential corridor sections with heterogeneous speed limits. The resulting ETA-gap condition depends on section-specific speed bounds and the required separation distance, providing an efficiently computable rule suitable for integration into future digital ETA-scheduling and air traffic management systems. We show that the computed ETA gap ensures safe separation across all corridor sections under prescribed section travel times and speed limits. Numerical simulations for a decreasing-speed corridor confirm that vehicles coordinated with the proposed mechanism adjust their speeds to maintain the required spacing, avoid potential collisions, and support improved traffic flow compared with unscheduled operations.","url":"https://doi.org/10.48550/arxiv.2605.23333","authors":["Pruekprasert, Sasinee","Nakadai, Shinji","Nishinari, Katsuhiro"],"tags":["Systems and Control (eess.SY)","FOS: Electrical engineering, electronic engineering, information engineering"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.48550/arxiv.2605.23333","addedAt":"2026-08-31T06:39:47.154Z","updatedAt":"2026-08-31T06:39:50.721Z"},{"id":"doi:10.17632/p9b8hk8kp3.1","name":"Aerosol surface tension in three Chinese megacities","source":"datacite","abstract":"Surfactants in atmospheric aerosols can reduce the surface tension at the aerosol‒air interface, thereby increasing the activity of cloud condensation nuclei (CCN), and affecting the climate. However, observations of aerosol surface tension in urban atmospheres are limited, and comparative studies at different locations are lacking. Here we share our calculation of surface tension values at the point of activation in three urban/suburban sites located in three Chinese megacities, i.e., Beijing (BJ: 39.97°N, 116.37°E) on the Northern China Plain, Nanjing (NJ: 32.13°N, 118.46°E) in the Yangtze River Delta, and Guangzhou (GZ: 23.00°N, 113.21°E) in the Pearl River Delta.The BJ site is located at the tower branch of the Institute of Atmospheric Physics, Chinese Academy of Sciences (49 m above sea level, asl). This site occurs in downtown Beijing and is surrounded by traffic, gasoline stations, restaurants, businesses, and residences, with an inner city river flowing by, and is influenced mainly by traffic and cooking emissions (Zhang et al., 2017). The Nanjing site is situated on the campus of Nanjing University of Information Science and Technology (40 m asl). The site is influenced by multiple local and regional pollution sources, including residential, industrial, agricultural, traffic, biogenic, and biomass burning emission sources (Song et al., 2023). The GZ site is located at the China Meteorological Administration Atmospheric Watch Network (CAWNET) Panyu station atop Dazhengang Hill (150 m asl). The site is affected by urban pollution from downtown Guangzhou (Cai et al., 2017). The samples collected at these three sites can represent the urban and suburban aerosol properties in the most populated region of eastern China. Also included are the aerosol hygroscopicity measured by hygroscopicity tandem differential mobility analyzer (HTDMA), activation diameters derived from CCN/CN spectrum, wet diameters of the droplets, and organic mass concentration/fraction in the droplets at the point of activation. The method of deriving the surface tension can be found in Fan et al. (2024). Zhang, F., et al., 2017. Uncertainty in Predicting CCN Activity of Aged and Primary Aerosols. J. Geophys. Res. 122. https://doi.org/10.1002/2017JD027058. Song, X. et al., 2023. The Impacts of Dust Storms With Different Transport Pathways on Aerosol Chemical Compositions and Optical Hygroscopicity of Fine Particles in the Yangtze River Delta. J. Geophys. Res. 128, e2023JD039679. https://doi.org/10.1029/2023JD039679. Cai, M. et al., 2017. Comparison of Aerosol Hygroscopcity, Volatility, and Chemical Composition between a Suburban Site in the Pearl River Delta Region and a Marine Site in Okinawa. Aerosol Air Qual. Res. 17, 3194–3208. https://doi.org/10.4209/aaqr.2017.01.0020.","url":"https://doi.org/10.17632/p9b8hk8kp3.1","authors":["Fan, Tianyi"],"tags":["Aerosol Characterization"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.17632/p9b8hk8kp3.1","addedAt":"2026-08-31T06:39:47.154Z","updatedAt":"2026-08-31T06:39:48.856Z"},{"id":"doi:10.17632/p9b8hk8kp3","name":"Aerosol surface tension in three Chinese megacities","source":"datacite","abstract":"Surfactants in atmospheric aerosols can reduce the surface tension at the aerosol‒air interface, thereby increasing the activity of cloud condensation nuclei (CCN), and affecting the climate. However, observations of aerosol surface tension in urban atmospheres are limited, and comparative studies at different locations are lacking. Here we share our calculation of surface tension values at the point of activation in three urban/suburban sites located in three Chinese megacities, i.e., Beijing (BJ: 39.97°N, 116.37°E) on the Northern China Plain, Nanjing (NJ: 32.13°N, 118.46°E) in the Yangtze River Delta, and Guangzhou (GZ: 23.00°N, 113.21°E) in the Pearl River Delta.The BJ site is located at the tower branch of the Institute of Atmospheric Physics, Chinese Academy of Sciences (49 m above sea level, asl). This site occurs in downtown Beijing and is surrounded by traffic, gasoline stations, restaurants, businesses, and residences, with an inner city river flowing by, and is influenced mainly by traffic and cooking emissions (Zhang et al., 2017). The Nanjing site is situated on the campus of Nanjing University of Information Science and Technology (40 m asl). The site is influenced by multiple local and regional pollution sources, including residential, industrial, agricultural, traffic, biogenic, and biomass burning emission sources (Song et al., 2023). The GZ site is located at the China Meteorological Administration Atmospheric Watch Network (CAWNET) Panyu station atop Dazhengang Hill (150 m asl). The site is affected by urban pollution from downtown Guangzhou (Cai et al., 2017). The samples collected at these three sites can represent the urban and suburban aerosol properties in the most populated region of eastern China. Also included are the aerosol hygroscopicity measured by hygroscopicity tandem differential mobility analyzer (HTDMA), activation diameters derived from CCN/CN spectrum, wet diameters of the droplets, and organic mass concentration/fraction in the droplets at the point of activation. The method of deriving the surface tension can be found in Fan et al. (2024). Zhang, F., et al., 2017. Uncertainty in Predicting CCN Activity of Aged and Primary Aerosols. J. Geophys. Res. 122. https://doi.org/10.1002/2017JD027058. Song, X. et al., 2023. The Impacts of Dust Storms With Different Transport Pathways on Aerosol Chemical Compositions and Optical Hygroscopicity of Fine Particles in the Yangtze River Delta. J. Geophys. Res. 128, e2023JD039679. https://doi.org/10.1029/2023JD039679. Cai, M. et al., 2017. Comparison of Aerosol Hygroscopcity, Volatility, and Chemical Composition between a Suburban Site in the Pearl River Delta Region and a Marine Site in Okinawa. Aerosol Air Qual. Res. 17, 3194–3208. https://doi.org/10.4209/aaqr.2017.01.0020.","url":"https://doi.org/10.17632/p9b8hk8kp3","authors":["Fan, Tianyi"],"tags":["Aerosol Characterization"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.17632/p9b8hk8kp3","addedAt":"2026-08-31T06:39:47.154Z","updatedAt":"2026-08-31T06:39:48.856Z"},{"id":"doi:10.25675/3.025654","name":"Evaluating and enhancing user trust in urban air mobility autonomous passenger systems","source":"datacite","abstract":"Urban Air Mobility (UAM) is an emerging and disruptive technology which promises a significant increase in transportation network capacity, through means of Passenger Air Vehicles (PAVs). Successful implementation of these aerial vehicles, however, is largely dependent on acceptance and eventual use by the general public. This dissertation, conducted in two phases, aimed to interpret decision and motivation factors for individuals to use and trust this novel transportation technology. In the first phase of the research study, a survey of 407 respondents in the United States provided perceptions and expectations of on-demand PAVs and autonomous aerial transportation concepts. Both the Technology Adoption Life Cycle Model and Technology Acceptance Model were used as constructs to characterize technology adopter profiles and rates of adoption. Key results, in which half of the respondents had prior familiarity with PAVs, indicated that all respondents expected additional in-flight safety feedback (i.e., displays relating to current and projected flight operations) beyond the level of safety standards found in conventional aircraft (i.e., seatbelts, air quality). Participants also indicated that PAVs are not perceived as an immediate replacement for daily trips and that in-cabin noise, which is often cited as a concern with community PAV acceptance, was not a crucial deterrent to ridership. Respondents characterized as earlier adopters of PAVs were more trusting of PAV technology, willing to pay more to ride, report shorter daily commutes, and riskier in their overall general behaviors. Later PAV adopters required more feedback in-flight and a pilot on-board to consider riding. Leveraging the insights gained from the first phase of the research study, the second phase focused on addressing critical human factors for building passenger trust, particularly in the absence of a human pilot. Virtual PAV flight simulations were conducted to evaluate how different in-cabin human-machine interface (HMI) designs affected passenger trust in the aircraft and in-cabin display, situation awareness, and pilot preferences. Forty participants, equally split between early and late technology adopters, completed two simulated flights: a baseline flight without an HMI in use, and a second flight featuring one of four HMI types: information, audio, video with a professionally dressed remote pilot, or video with a casually dressed remote pilot. Results indicated that participants exposed to the professionally dressed remote operator reported significantly higher trust in the aircraft, trust in the HMI, and demonstrated higher situation awareness. Trust and situation awareness were not significantly influenced by technology adopter profile. Participants also stated a preference for the presence of an audible or visible remote operator, particularly among late technology adopters. These findings suggest that human-centered HMI designs, especially those that include visual cues of professionalism, can meaningfully improve passenger trust in autonomous air taxis. Overall, this dissertation contributes to both theory and practice by advancing understanding of technology adoption in the context of UAM and by identifying actionable design strategies for fostering passenger trust in autonomous PAVs. By bridging adoption theory with applied human factors research, the findings provide a roadmap for stakeholders to anticipate user needs, mitigate barriers to acceptance, and support the safe and successful integration of PAVs into future transportation systems.","url":"https://doi.org/10.25675/3.025654","authors":["Johnson, Ricole A.","Gallegos, Erika","Conrad, Steven A.","Simske, Steven","Atadero, Rebecca","Quinn, Jason"],"tags":["flight simulaton","human system integration","user trust","human machine interface","autonomous aircraft","urban air mobility"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.25675/3.025654","addedAt":"2026-08-31T06:39:47.154Z","updatedAt":"2026-08-31T06:39:47.154Z"},{"id":"doi:10.4232/1.14610","name":"GESIS Panel.pop Population Sample – Standard Edition","source":"datacite","abstract":"Das GESIS-Panel bietet eine wahrscheinlichkeitsbasierte Mixed-Mode-Access-Panel-Infrastruktur am GESIS Leibniz-Institut für Sozialwissenschaften in Mannheim. Das Projekt bietet der sozialwissenschaftlichen Community die Möglichkeit, Erhebungsdaten aus einer repräsentativen Stichprobe der deutschen Bevölkerung zu erheben. Die eingereichten Studienvorschläge werden auf der Grundlage eines wissenschaftlichen Begutachtungsverfahrens bewertet. Die Rekrutierung der Panelmitglieder erfolgte zunächst im Jahr 2013 in persönlichen Interviews, gefolgt von einer selbst durchgeführten Profilbefragung. Der Modus wurde von den Teilnehmern gewählt. Alle Teilnehmer der Profilbefragung werden als Mitglieder des Panels betrachtet und zu den alle zwei Monate stattfindenden regelmäßigen Wellen eingeladen. Die Startkohorte umfasste Anfang 2014 4900 Panelisten. Um den Panelabrieb zu kompensieren, wurde im Jahr 2016 eine Auffrischungsstichprobe mit Hilfe des German General Social Survey (ALLBUS) gezogen. Die erste Kohorte umfasst deutschsprachige Befragte im Alter zwischen 18 und 70 Jahren (zum Zeitpunkt der Einstellung) mit ständigem Wohnsitz in Deutschland, während die zweite Kohorte Befragte ab 18 Jahren ohne Obergrenze umfasst. Im Jahr 2018 wurde eine dritte Rekrutierungsstichprobe gezogen, die mit der Welle ge integriert wurde. Auch die dritte Kohorte umfasst Befragte ab 18 Jahren ohne Obergrenze.Rückwirkend wurden die Fälle bis einschließlich Welle fc (dritte Welle aus 2018) in den Daten ergänzt. Nähere Informationen finden Sie im Data Manual (ZA5664-65_sd_data-manual) und dem entsprechenden Rekrutierungsbericht (ZA5664-65_mb_recruitment2018). Die Stichproben des German General Social Survey (ALLBUS) basieren auf einer disproportionalen Stichprobe von Befragten aus West- und Ostdeutschland. Ein Designgewicht, das die Integration der beiden Rekrutierungskohorten ermöglicht, ist im Datensatz enthalten. Nähere Einzelheiten entnehmen Sie bitte den Methodenberichten der Einstellungsverfahren und dem GESIS-Panel-Referenzpapier (Bosnjak et al., 2017). Im März 2020 wurde eine Sondererhebung des GESIS-Panels zum Ausbruch des Coronavirus SARS-CoV-2 bzw. COVID-19 in Deutschland durchgeführt. Im Jahr 2021 wurde die vierte Rekrutierungsstichprobe mit Hilfe des German International Social Survey Programme (ISSP) gezogen, die mit der Welle ja integriert wurde. Die vierte Kohorte umfasst ebenfalls Befragte ab 18 Jahren ohne Obergrenze. Nähere Informationen finden Sie im entsprechenden Rekrutierungsbericht (ZA5664-65_r_i12.pdf). Im Jahr 2023 wurde die fünfte Rekrutierungsstichprobe mit Hilfe des German European Social Survey (ESS Round 11) gezogen, die mit der Welle la integriert wurde. Die fünfte Kohorte umfasst Befragte ab 18 Jahren ohne Obergrenze. Nähere Informationen finden Sie im entsprechenden Rekrutierungsbericht (ZA5664-65_r_k12.pdf). GESIS Panel Demographic Dataset Ab Version 43-0-0 ist der demografische Längsschnittdatensatz Teil des Veröffentlichungspaketes. Bei dem Datensatz handelt es sich um einen längsschnittlichen Datensatz (long format), mit harmonisierten Messungen zu demografischen Variablen: Befragten ID; Erhebungszeitpunkt; entsprechende Welle; Erhebungsjahr; Rekrutierungskohorte; Geschlecht des Befragten; Geburtsjahr; höchster Bildungsabschluss; persönliches Nettoeinkommen; Haushaltsnettoeinkommen; Familienstand; AAPOR disposition code; Einladungsmodus; Teilnahmemodus.","url":"https://doi.org/10.4232/1.14610","authors":["GESIS"],"tags":["KAT12 Internationale Institutionen, Beziehungen, VerhältnisseKAT15 Politische Einstellungen und VerhaltensweisenKAT16 Politische Parteien, VerbändeKAT20 Rechtssystem, Rechtsprechung, GesetzKAT37 Arbeit und BetriebKAT40 Konsumstruktur, KonsumverhaltenKAT41 Sparen, Geldanlagen, VermögensbildungKAT51 Gemeinde, WohnumweltKAT56 Universität, Forschung, WissenschaftKAT59 MedizinKAT60 FreizeitKAT62 Kommunikation, öffentliche Meinung, MedienKAT30 WirtschaftssystemeKAT54 Person, Persönlichkeit, RolleKAT65 Umwelt, Natur","Soziale Lage und soziale Indikatoren","Informationsgesellschaft","Medien","Politisches Verhalten und politische Einstellungen","Informations- und Kommunikationstechnologie","Regierung, politische Systeme, Parteien und Organisationen","Wahlen"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.4232/1.14610","addedAt":"2026-08-31T06:39:47.154Z","updatedAt":"2026-08-31T06:39:56.014Z"},{"id":"doi:10.4232/1.14609","name":"GESIS Panel.pop Population Sample – Extended Edition","source":"datacite","abstract":"Das GESIS-Panel bietet eine wahrscheinlichkeitsbasierte Mixed-Mode-Access-Panel-Infrastruktur am GESIS Leibniz-Institut für Sozialwissenschaften in Mannheim. Das Projekt bietet der sozialwissenschaftlichen Community die Möglichkeit, Erhebungsdaten aus einer repräsentativen Stichprobe der deutschen Bevölkerung zu erheben. Die eingereichten Studienvorschläge werden auf der Grundlage eines wissenschaftlichen Begutachtungsverfahrens bewertet. Die Rekrutierung der Panelmitglieder erfolgte zunächst im Jahr 2013 in persönlichen Interviews, gefolgt von einer selbst durchgeführten Profilbefragung. Der Modus wurde von den Teilnehmern gewählt. Alle Teilnehmer der Profilbefragung werden als Mitglieder des Panels betrachtet und zu den alle zwei Monate stattfindenden regelmäßigen Wellen eingeladen. Die Startkohorte umfasste Anfang 2014 4900 Panelisten. Um den Panelabrieb zu kompensieren, wurde im Jahr 2016 eine Auffrischungsstichprobe mit Hilfe des German General Social Survey (ALLBUS) gezogen. Die erste Kohorte umfasst deutschsprachige Befragte im Alter zwischen 18 und 70 Jahren (zum Zeitpunkt der Einstellung) mit ständigem Wohnsitz in Deutschland, während die zweite Kohorte Befragte ab 18 Jahren ohne Obergrenze umfasst. Im Jahr 2018 wurde eine dritte Rekrutierungsstichprobe gezogen, die mit der Welle ge integriert wurde. Auch die dritte Kohorte umfasst Befragte ab 18 Jahren ohne Obergrenze.Rückwirkend wurden die Fälle bis einschließlich Welle fc (dritte Welle aus 2018) in den Daten ergänzt. Nähere Informationen finden Sie im Data Manual (ZA5664-65_sd_data-manual) und dem entsprechenden Rekrutierungsbericht (ZA5664-65_mb_recruitment2018). Die Stichproben des German General Social Survey (ALLBUS) basieren auf einer disproportionalen Stichprobe von Befragten aus West- und Ostdeutschland. Ein Designgewicht, das die Integration der beiden Rekrutierungskohorten ermöglicht, ist im Datensatz enthalten. Nähere Einzelheiten entnehmen Sie bitte den Methodenberichten der Einstellungsverfahren und dem GESIS-Panel-Referenzpapier (Bosnjak et al., 2017). Im März 2020 wurde eine Sondererhebung des GESIS-Panels zum Ausbruch des Coronavirus SARS-CoV-2 bzw. COVID-19 in Deutschland durchgeführt. Im Jahr 2021 wurde die vierte Rekrutierungsstichprobe mit Hilfe des German International Social Survey Programme (ISSP) gezogen, die mit der Welle ja integriert wurde. Die vierte Kohorte umfasst ebenfalls Befragte ab 18 Jahren ohne Obergrenze. Nähere Informationen finden Sie im entsprechenden Rekrutierungsbericht (ZA5664-65_r_i12.pdf). Im Jahr 2023 wurde die fünfte Rekrutierungsstichprobe mit Hilfe des German European Social Survey (ESS Round 11) gezogen, die mit der Welle la integriert wurde. Die fünfte Kohorte umfasst Befragte ab 18 Jahren ohne Obergrenze. Nähere Informationen finden Sie im entsprechenden Rekrutierungsbericht (ZA5664-65_r_k12.pdf). GESIS Panel Demographic Dataset Ab Version 43-0-0 ist der demografische Längsschnittdatensatz Teil des Veröffentlichungspaketes. Bei dem Datensatz handelt es sich um einen längsschnittlichen Datensatz (long format), mit harmonisierten Messungen zu demografischen Variablen: Befragten ID; Erhebungszeitpunkt; entsprechende Welle; Erhebungsjahr; Rekrutierungskohorte; Geschlecht des Befragten; Geburtsjahr; Geburtsmonat; höchster Bildungsabschluss; persönliches Nettoeinkommen; Haushaltsnettoeinkommen; Familienstand; AAPOR disposition code; Einladungsmodus; Teilnahmemodus.","url":"https://doi.org/10.4232/1.14609","authors":["GESIS"],"tags":["KAT12 Internationale Institutionen, Beziehungen, VerhältnisseKAT15 Politische Einstellungen und VerhaltensweisenKAT16 Politische Parteien, VerbändeKAT20 Rechtssystem, Rechtsprechung, GesetzKAT37 Arbeit und BetriebKAT40 Konsumstruktur, KonsumverhaltenKAT41 Sparen, Geldanlagen, VermögensbildungKAT51 Gemeinde, WohnumweltKAT56 Universität, Forschung, WissenschaftKAT59 MedizinKAT60 FreizeitKAT62 Kommunikation, öffentliche Meinung, MedienKAT30 WirtschaftssystemeKAT54 Person, Persönlichkeit, RolleKAT65 Umwelt, Natur","Soziale Lage und soziale Indikatoren","Informationsgesellschaft","Medien","Politisches Verhalten und politische Einstellungen","Informations- und Kommunikationstechnologie","Regierung, politische Systeme, Parteien und Organisationen","Wahlen"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.4232/1.14609","addedAt":"2026-08-31T06:39:47.154Z","updatedAt":"2026-08-31T06:39:56.014Z"},{"id":"doi:10.48550/arxiv.2605.22726","name":"Dynamic Lane Allocation in UAM Corridors for Efficient Multimodal Door-to-Door Mobility","source":"datacite","abstract":"This article presents dynamic directional lane allocation in urban air mobility (UAM) corridors as a discrete-time mixed-integer linear program (MILP). This formulation activates, deactivates, and reverses lane direction as bi-directional airspace demand evolves. We model demand from disaggregate ground travel data by decomposing each trip into a multi-modal sequence with first-, middle-, and last-mile legs and routing the UAM-served middle-mile segment through a vertiport-side dispatch model. We use the San Francisco Bay Area as a case study by placing a multi-region spanning corridor between Contra Costa county and Silicon Valley. We find that the dynamic policy cuts unused airspace capacity by 5x, increases mean lane utilization from 36-48% to 67% at the same service level relative to baselines, and reduces commuting-population mean travel time by up to 21.6%. These results show that dynamic configuration of airspace capacity alleviates a significant percentage of the under-utilization issue of lane-based UAM airspace design and UAM concept of operations. This dynamic allocation also provides a safe, structural way to increase throughput, making UAM a more viable complement to multimodal door-to-door mobility systems.","url":"https://doi.org/10.48550/arxiv.2605.22726","authors":["Park, Jung Ho","Kam, Jordan","Bulusu, Vishwanath","Bayen, Alexandre","Sengupta, Raja"],"tags":["Systems and Control (eess.SY)","FOS: Electrical engineering, electronic engineering, information engineering","FOS: Electrical engineering, electronic engineering, information engineering"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.48550/arxiv.2605.22726","addedAt":"2026-08-31T06:39:47.154Z","updatedAt":"2026-08-31T06:39:47.154Z"},{"id":"doi:10.25439/rmt.32353140","name":"UAV-to-ground Connectivity Modelling and Enhancement under Practical Channel and Interference Conditions","source":"datacite","abstract":"Unmanned aerial vehicles (UAVs) are becoming integral components of emerging wireless networks and are expected to play an important role in future sixth-generation (6G) and non-terrestrial communication systems. Their rapid deployment capability, flexible coverage extension, and ability to support connectivity in overloaded, damaged, or infrastructure-limited environments make them attractive for next-generation wireless services. At the same time, their altitude and mobility create air-to-ground (A2G) channels with geometry-dependent propagation, strong delay-Doppler (DD) dynamics, and increased exposure to inter-cell interference.The A2G channel differs fundamentally from terrestrial channels, introducing complex propagation and interference challenges that hinder reliable UAV communication. Unlike ground users, UAVs experience elevated line-of-sight (LoS) exposure, reduced local scattering, geometry-dependent correlation effects, and altitude-driven mobility dynamics. These characteristics demand dedicated channel models, interference analyses, and waveform processing techniques tailored to aerial platforms.The first challenge lies in accurately characterizing shadowing correlation in A2G propagation links. Excess path loss arising from buildings and urban clutter does not vary independently across locations. Instead, its spatial correlation strongly depends on UAV altitude, street alignment, and local geometry. Without understanding this correlation, link reliability prediction and the design of environment-aware communication strategies become unreliable.The second challenge arises in multiple-input multiple-output (MIMO) systems, where multiple antennas at the transmitter and receiver are used to increase data throughput. In theory, MIMO increases spectral efficiency; however, the actual benefit depends critically on the independence of the propagation paths. For UAV links, geometry, altitude, and antenna separation influence the level of spatial correlation in the channel. In many practical scenarios, these factors increase the correlation between antenna elements, limiting spatial multiplexing and reducing the practical benefit of multi-antenna transmission.The third challenge arises from inter-cell interference when UAVs connect to terrestrial cellular networks. At higher altitudes, UAVs maintain LoS links to multiple base stations (BSs), increasing downlink interference and degrading coverage. This issue is intensified when analytical models neglect realistic deployment constraints or oversimplify them. Finally, the fourth challenge is mobility-induced Doppler. Rapid UAV motion produces rapidly varying frequency shifts that complicate channel estimation and equalization, especially when combined with interference from other aerial or terrestrial emitters.To address these challenges, this research develops a unified modeling and analysis framework that characterizes spatial correlation in A2G excess path loss, investigates its impact on MIMO channel behavior, and evaluates the resulting effects on inter-cell interference and mobility-induced Doppler in UAV communication systems. The framework integrates geometry-aware propagation modeling with system-level analysis to enable consistent and reproducible evaluation of UAV A2G communication performance under realistic deployment conditions.First, a systematic ray-tracing methodology across standardized urban environments is constructed to quantify the environment-dependent correlation of excess path loss under LoS and non-line-of-sight (NLoS) conditions. The resulting empirical models capture how correlation evolves with altitude, street orientation, obstruction density, and propagation regime, providing accurate tools for predictive A2G channel modeling.Second, this research analyzes UAV MIMO capacity in structured urban environments using a Manhattan-grid city model. The results demonstrate that LoS street-canyon conditions produce high channel correlation and limited","url":"https://doi.org/10.25439/rmt.32353140","authors":["Abdelrahman, Mohammed"],"tags":["Wireless communication systems and technologies (incl. microwave and millimetrewave)"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.25439/rmt.32353140","addedAt":"2026-08-31T06:39:47.155Z","updatedAt":"2026-08-31T06:39:47.155Z"},{"id":"doi:10.5281/zenodo.20320705","name":"Route Analysis and Traffic Jam Prediction using Deep Learning Techniques: An Enhanced LSTM-GRU Comparative Study","source":"datacite","abstract":"Traffic route analysis plays a critical role in daily urban mobility. This study proposes and evaluates deeplearning models for predicting traffic jam status based on contextual weather and event data. Specifically, LSTMand GRU architectures are trained and tested on a dataset of weather conditions, air quality, road characteristics,and events. This study introduces a structured hyperparameter optimization framework and an interpretive analysisexplaining observed performance gaps. Data preprocessing includes one-hot encoding, Min-Max normalization,and temporal sequence organization. Both models are evaluated using accuracy, precision, recall, F1-score, and ROCAUC. The LSTM model achieves 87.5% accuracy and 91.67% ROC AUC, significantly outperforming the GRU model(50% accuracy, 67% ROC AUC). The findings offer practical guidance for selecting appropriate recurrentarchitectures in traffic prediction systems. Traffic prediction, deep learning, LSTM, GRU, weather data, event data,traffic congestion, performance evaluation, hyperparameter optimization.","url":"https://doi.org/10.5281/zenodo.20320705","authors":["Ohm Prakasanatham"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.20320705","addedAt":"2026-08-31T06:39:47.155Z","updatedAt":"2026-08-31T06:39:47.155Z"},{"id":"doi:10.5281/zenodo.20320706","name":"Route Analysis and Traffic Jam Prediction using Deep Learning Techniques: An Enhanced LSTM-GRU Comparative Study","source":"datacite","abstract":"Traffic route analysis plays a critical role in daily urban mobility. This study proposes and evaluates deeplearning models for predicting traffic jam status based on contextual weather and event data. Specifically, LSTMand GRU architectures are trained and tested on a dataset of weather conditions, air quality, road characteristics,and events. This study introduces a structured hyperparameter optimization framework and an interpretive analysisexplaining observed performance gaps. Data preprocessing includes one-hot encoding, Min-Max normalization,and temporal sequence organization. Both models are evaluated using accuracy, precision, recall, F1-score, and ROCAUC. The LSTM model achieves 87.5% accuracy and 91.67% ROC AUC, significantly outperforming the GRU model(50% accuracy, 67% ROC AUC). The findings offer practical guidance for selecting appropriate recurrentarchitectures in traffic prediction systems. Traffic prediction, deep learning, LSTM, GRU, weather data, event data,traffic congestion, performance evaluation, hyperparameter optimization.","url":"https://doi.org/10.5281/zenodo.20320706","authors":["Ohm Prakasanatham"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.20320706","addedAt":"2026-08-31T06:39:47.155Z","updatedAt":"2026-08-31T06:39:47.155Z"},{"id":"doi:10.48550/arxiv.2605.20625","name":"Time-To-Reach Separation and Safety Filtering for Safe, Fair, and Efficient Multi-Agent Coordination","source":"datacite","abstract":"Advanced Air Mobility (AAM) operations are expected to significantly increase aerial traffic in urban airspace, requiring autonomous traffic management systems to ensure collision-free operations in highly congested environments. In this paper, we propose a multi-agent coordination framework that uses minimum time-to-reach (TTR) as a unifying metric for priority assignment, temporal separation, and safety filtering. We focus on the problem of coordinating multiple aerial vehicles merging into an air corridor while maintaining safe separation between vehicles. Vehicles are assigned arrival-consistent priority based on TTR, and target TTR values are used to enforce temporal spacing that induces spatial separation. A priority-consistent safety filtering layer based on Hamilton-Jacobi reachability value functions ensures collision avoidance while minimally modifying the reference guidance. Simulation results in a highly congested corridor merging scenario show that the proposed method improves safety, fairness, and efficiency compared to time-optimal guidance and priority-agnostic safety filtering.","url":"https://doi.org/10.48550/arxiv.2605.20625","authors":["Low, Matthew","Aloor, Jasmine Jerry","Tuck, Victoria Marie","Nuzzo, Pierluigi","Choi, Jason J."],"tags":["Systems and Control (eess.SY)","Multiagent Systems (cs.MA)","Robotics (cs.RO)","FOS: Electrical engineering, electronic engineering, information engineering","FOS: Computer and information sciences"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.48550/arxiv.2605.20625","addedAt":"2026-08-31T06:39:47.155Z","updatedAt":"2026-08-31T06:39:50.721Z"},{"id":"doi:10.34657/22738","name":"Air Mobility Initiative: Hochperformante Rechnerplattform für das Flugregelungs- und Flugsteuerungssystem für Urban Air Mobility Anwendungen - AMI-HORATIO","source":"datacite","abstract":"[no abstract available]","url":"https://doi.org/10.34657/22738","authors":["Lantzsch, Robin","Neth, Sundaro","Meidinger, Vitus"],"tags":["600 | Technik","Flugsteuerung","UAM","Urban Air Mobility","Flugregelung"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.34657/22738","addedAt":"2026-08-31T06:39:47.155Z","updatedAt":"2026-08-31T06:39:47.155Z"},{"id":"doi:10.34657/22364","name":"AMI-HORATIO - (Air Mobility Initiative: Hochperformante Rechnerplattform für das Flugregelungs- und Flugsteuerungssystem für Urban Air Mobility Anwendungen); Teilvorhaben \"Hochperformanter eVTOL Flight Control Backup Rechner mit neuartiger Architektur (HeRA)\"; Nationales Luftfahrtforschungsprogramm LuFo VI-2","source":"datacite","abstract":"[no abstract available]","url":"https://doi.org/10.34657/22364","authors":["Hoffmann, Ursula","Ben Abdelbari, Yousri","Merckling, Matthieu"],"tags":["600 | Technik","eVTOL","IMA","Backup Rechner"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.34657/22364","addedAt":"2026-08-31T06:39:47.155Z","updatedAt":"2026-08-31T06:39:47.155Z"},{"id":"doi:10.34657/20866","name":"Miniaturized laser sensors for air quality sensors augmenting smart urban mobility","source":"datacite","abstract":"[no abstract available]","url":"https://doi.org/10.34657/20866","authors":["(:unkn) unknown"],"tags":["500"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.34657/20866","addedAt":"2026-08-31T06:39:47.155Z","updatedAt":"2026-08-31T06:39:47.155Z"},{"id":"doi:10.26083/tuprints-00028839","name":"Three-dimensional Many-objective Path Planning and Traffic Network Optimization for Urban Air Mobility Applications Under Social Considerations","source":"datacite","abstract":"This dissertation proposes and investigates solution approaches to two problems in urban air mobility, considering the different perspectives of many stakeholders, including societal interests. The many-objective path planning problem seeks Pareto-optimal, three-dimensional, and smooth paths connecting two given locations in the city. The multi-objective traffic network optimization problem searches for Pareto-optimal and three-dimensional transportation networks that can be constructed from a given set of paths. Since this work also explicitly considers social objectives within these problems, it has both a societal and a practical relevance. This thesis analyzes both stated problems and proposes a new framework to solve the first problem efficiently. Then, it shows how the optimized paths can be combined into a three-dimensional traffic network. Afterward, this dissertation presents another new framework to optimize the obtained traffic network in terms of multiple objectives. It tests the influence of integrating social criteria on the economic costs of the networks obtained. Using geospatial data from four different cities, paths and networks were optimized to evaluate the efficiency of the path planning framework against current methods and to compare the network solutions with conventional strategies. The developed path planning framework showed a significant advantage over comparable approaches. When traffic networks were optimized, including social criteria, their social acceptance increased much more than the monetary costs. An essential finding of this work is that the many-objective path planning problem can be solved efficiently in the three-dimensional operation space by an intelligent combination of existing algorithms and the inclusion of three new algorithmic features. Beyond that, it is beneficial to integrate social criteria into optimization problems when the solutions obtained are the basis for decisions in the area of conflict between the economy and human welfare.","url":"https://doi.org/10.26083/tuprints-00028839","authors":["Hohmann, Nikolas"],"tags":["004","510","600","620"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.26083/tuprints-00028839","addedAt":"2026-08-31T06:39:47.155Z","updatedAt":"2026-08-31T06:39:47.155Z"},{"id":"doi:10.48550/arxiv.2605.17378","name":"UPSim: UxNB Propagation Simulator for 3D Map-Driven FR3 Deployments","source":"datacite","abstract":"We introduce UPSim (UxNB Propagation Simulator), a ray tracing-calibrated, semi-deterministic solution for spatially consistent FR3 air-to-ground propagation modeling in uncrewed aerial vehicle (UAV) networks. Instead of launching rays for every receiver position, UPSim derives deterministic visibility regions from 3D building geometry via shadow projection. It then augments these regions with line-of-sight (LOS) state-specific and altitude-aware path loss, correlated large-scale fading, and small-scale fading. Calibration and validation against FR3 ray tracing data using the global 3D-GloBFP building dataset demonstrate that UPSim accurately reproduces empirical channel distributions. Furthermore, the resulting maps support route-based analysis of channel evolution over complex urban layouts, exposing critical trajectory-level statistics such as outage distances. Consequently, UPSim offers a highly scalable, practical middle ground between computationally expensive full ray tracing and purely stochastic channel generation for mobility-aware planning and radio-map construction in aerial access scenarios.","url":"https://doi.org/10.48550/arxiv.2605.17378","authors":["Vinogradov, Evgenii"],"tags":["Signal Processing (eess.SP)","Networking and Internet Architecture (cs.NI)","FOS: Electrical engineering, electronic engineering, information engineering","FOS: Electrical engineering, electronic engineering, information engineering","FOS: Computer and information sciences","FOS: Computer and information sciences"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.48550/arxiv.2605.17378","addedAt":"2026-08-31T06:39:47.155Z","updatedAt":"2026-08-31T06:39:47.155Z"},{"id":"doi:10.26083/tuprints-00019743","name":"Determining mode-priority on shared streets : A key solution for Pune city’s Sustainable Mobility Development. Case analysis of Pune’s core area","source":"datacite","abstract":"Ranked as the most livable city in India and set to become a global urban center, Pune is currently at a high risk of reaching a deadlock over traffic congestion, traffic accidents and unbreathable air, threatening to cause unprecedented challenges in the city’s fast-paced growing landscape (Bari, 2018; TOMTOM 2021). The city’s Mobility Plan has actively planned, guided and monitored Pune’s transportation facilities for over a decade. In 2018, the city set a goal of modal increase of Public Transport from 19% (in 2018) up to 50% (in 2038) (L&amp;T Infra Engineering, 2018). However, the contradiction in the vision and the reality has been evident in this increasing gap of modal share and mobility inconvenience, presenting the need for research. This dissertation is an empirical research of Pune’s core area, and Comprehensive Mobility Plan. Sustainable Urban Transport principles emphasized in the avoid-shift-improve approach are used to guide this research (GIZ, 2021a; Wilbur Smith, IL&amp;FS, 2008). The literature review investigates the Mobility Plan Action Items, and provides a framework to analyze the street network of the study area based on two of the ten Sustainable Urban Transport principles: 1. Optimizing the road network and its use, and 2. Encouraging walking and cycling (GIZ, 2021a). Spatial mapping and street-network-analysis are carried out by using programs of QGIS and depthmapX respectively, based on Space Syntax street connectivity tools - Integration and NACH. Results of the spatial analysis have then been discussed through online interviews with local and international experts. This dissertation concludes that mode-priority on Pune’s shared streets is an attainable solution to achieve its mobility vision. The conclusion is finalized in the design of a Route Map and Safe-Street-Guidelines, to ensure citizens’ mobility-convenience, traffic safety, and to support Pune’s long-term Mobility Development Planning.","url":"https://doi.org/10.26083/tuprints-00019743","authors":["Mangire, Aboli Jayadeo"],"tags":["600","690"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2022","doi":"10.26083/tuprints-00019743","addedAt":"2026-08-31T06:39:47.155Z","updatedAt":"2026-08-31T06:39:56.014Z"},{"id":"doi:10.6084/m9.figshare.32129683","name":"Turbocharged Hybrid Hydrogen Engine with Compressed Air for High Energy Efficiency and Emission Reduction in Transport / Motor Híbrido Turboalimentado a Hidrógeno con Aire Comprimido para Alta Eficiencia Energética y Reducción de Emisiones en Transporte","source":"datacite","abstract":"Turbocharged Hybrid Hydrogen Engine with Compressed Air for High Energy Efficiency and Emission Reduction in TransportAbstractThis proposal presents the development of a hybrid internal combustion engine optimized for the use of hydrogen as the primary fuel, combined with compressed air through forced induction systems, with the objective of improving energy efficiency and reducing environmental impact in transport applications.The system is based on the use of: Hydrogen as a fuel, leveraging its high specific energy and clean combustion properties, together with: Turbocharger systems that increase the amount of air available in the combustion chamber, improving mixture quality and process efficiency.The proposed engine is designed to operate under lean-burn conditions, reducing specific fuel consumption and increasing thermal efficiency compared to conventional fossil-fuel-based engines.1. IntroductionThe transition toward sustainable transport systems requires the development of technologies that reduce pollutant emissions without compromising energy performance.Hydrogen emerges as a promising energy carrier due to its clean combustion characteristics and its potential integration into renewable-based energy systems.2. Technological foundationThe proposed engine is based on principles of: Internal combustion engine adapted for the use of hydrogen as a fuel.🔹 Main features:hydrogen combustion with air (no pure oxygen)electronic control of the mixturelean-burn operation3. Forced induction systemThe use of: Turbocharger allows:increased intake air densityimproved combustionhigher specific power output4. Hybrid configurationThe system can be integrated with:electric assistanceregenerative brakingauxiliary energy storageThis improves the overall efficiency of the propulsion system.5. Applications🔹 Heavy transportfreight truckslong-distance busestrainsmaritime transport🔹 Light vehiclesspecific urban applicationsmodular mobility platforms6. Environmental impactelimination of CO₂ emissions during combustionreduction of local pollutantscompatibility with renewable hydrogen production7. Economic feasibility🔹 Advantagespotential adaptation of existing enginesreduced long-term operating costsdecreased dependence on fossil fuels🔹 Key factorshydrogen availabilityproduction costinfrastructure development8. Limitationscombustion control complexityhydrogen storage challengesinitial development investment9. Implementation strategydevelopment of experimental prototypestesting in heavy transport applicationsprogressive system optimization10. ConclusionThe turbocharged hybrid hydrogen engine represents a viable alternative to improve energy efficiency and reduce environmental impact in transport systems, combining existing technologies with innovations in combustion control and clean fuel utilization.Ricardo Riveros Independent ResearcherMotor Híbrido Turboalimentado a Hidrógeno con Aire Comprimido para Alta Eficiencia Energética y Reducción de Emisiones en TransporteAbstractSe propone el desarrollo de un motor híbrido de combustión interna optimizado para el uso de hidrógeno como combustible principal, combinado con aire comprimido mediante sistemas de sobrealimentación, con el objetivo de mejorar la eficiencia energética y reducir el impacto ambiental en aplicaciones de transporte.El sistema se basa en la utilización de: Hydrogen como combustible, aprovechando su alta energía específica y su capacidad de combustión limpia, junto con sistemas de: Turbocharger que incrementan la cantidad de aire disponible en la cámara de combustión, mejorando la mezcla y la eficiencia del proceso.El motor propuesto busca operar bajo condiciones de mezcla pobre, reduciendo el consumo específico de combustible y aumentando la eficiencia térmica en comparación con motores convencionales basados en combustibles fósiles.1. IntroducciónLa transición hacia sistemas de transporte sostenibles requiere el desarrollo de tecnologías que reduzcan las emisiones contamin","url":"https://doi.org/10.6084/m9.figshare.32129683","authors":["Riveros, Ricardo"],"tags":["Ecological impacts of climate change and ecological adaptation","Environmentally sustainable engineering","Mechanical engineering not elsewhere classified","Transport engineering"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.6084/m9.figshare.32129683","addedAt":"2026-08-31T06:39:47.155Z","updatedAt":"2026-08-31T06:39:47.155Z"},{"id":"doi:10.6084/m9.figshare.31880008","name":"<b>Advanced Distributed Ignition System and Combustion Optimization for Small- and Medium-Displacement Vehicles</b> / <b>Sistema de Ignición Distribuida Avanzada y Optimización de Combustión para Vehículos de Baja y Media Cilindrada</b>","source":"datacite","abstract":"Advanced Distributed Ignition System and Combustion Optimization for Small- and Medium-Displacement Vehicles Subtitle Scientific proposal to increase energy efficiency, reduce fuel consumption and pollutant emissions through coil-per-cylinder, multi-point spark plug, and turbulence control Abstract An integrated advanced ignition system is proposed that combines:Independent ignition coil per cylinderMulti-point or crown-type spark plugOptimization of air turbulence within the combustion chamberThe goal is to improve combustion efficiency in small- and medium-displacement vehicles (motorcycles and cars) by:better flame propagationreduced combustion timelower fuel consumptionreduced pollutant emissionsThe system is low-cost, scalable, and compatible with existing engines, improving efficiency without the need for full engine redesign. 1. Introduction In internal combustion engines, efficiency depends on:spark distributionair–fuel mixture turbulenceprecise ignition timingTraditional coil-on-plug systems improve ignition, but incorporating multi-point spark plugs and optimizing cylinder airflow represents a low-cost innovation applicable to both motorcycles and cars. 2. Objectives Improve flame propagation in the cylinderReduce combustion timeIncrease energy efficiencyReduce pollutant emissionsMaintain low implementation and maintenance cost 3. Scientific Basis 3.1 Ignition Energy The spark must exceed the minimum ignition energy of the air–fuel mixture.Once exceeded, the spatial and temporal distribution of ignition becomes critical. 3.2 Flame Propagation Multiple flame fronts accelerate combustion.Cylinder turbulence increases flame speed and mixture homogeneity. 3.3 Coil-Per-Cylinder &amp; Multi-Point Spark Plug System Individual cylinder control → higher precisionBetter electrical energy utilization → lower lossesMulti-point spark plug → multiple simultaneous flame fronts 4. System Design Individual coil per cylinder Multi-point or crown-type spark plug Adaptive electronic control Adjusts spark timing and energy based on load, RPM, and turbulence 5. Application Vehicles with small and medium engines (motorcycles 125–200 cc, cars 1.0–1.6 L)Compatible with existing engines, no major structural modificationsScalable: can be applied first to one cylinder, then expanded 6. Estimated Results ParameterEstimatePower increase3–8%Fuel consumption reduction3–6%CO &amp; HC emission reductionup to 15%Combustion stability improvementhigh 7. Economic and Environmental Advantages Low implementation cost (~USD 30–80 per engine)Reduced fuel expensesLower emissions → improved urban air qualityCompatible with other enhancements: turbulence, optimized injection, thermal efficiency 8. Limitations Moderate benefits in high-displacement engines without adaptationRequires precise electronic calibrationExperimental validation needed for each engine model 9. Conclusion The combination of coil-per-cylinder, multi-point spark plug, and turbulence optimization allows:higher energy efficiencylower fuel consumptionreduced emissionslow-cost, scalable implementation for motorcycles and carsThis approach represents an accessible version of advanced high-performance ignition concepts , suitable for urban mobility and cost-effective applications, without requiring special fuels or full engine redesign. Sistema de Ignición Distribuida Avanzada y Optimización de Combustión para Vehículos de Baja y Media Cilindrada Subtítulo Propuesta científica para aumentar eficiencia energética, reducir consumo de combustible y emisiones contaminantes mediante bobina por cilindro, bujía multi-punto y control de turbulencia Resumen Se presenta un sistema integral de ignición distribuida avanzada que combina:Bobina de encendido independiente por cilindroBujía multi-punto o con corona de igniciónOptimización de la turbulencia del aire dentro de la cámara de combustiónEl objetivo es mejorar la eficiencia de combustión en vehículos de baja y media cilindrada (motos y automóviles) medi","url":"https://doi.org/10.6084/m9.figshare.31880008","authors":["Riveros, Ricardo"],"tags":["Ecological impacts of climate change and ecological adaptation","Environmentally sustainable engineering","Sustainable design"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.6084/m9.figshare.31880008","addedAt":"2026-08-31T06:39:47.155Z","updatedAt":"2026-08-31T06:39:47.155Z"},{"id":"doi:10.6084/m9.figshare.31866160","name":"<b>Combustion Optimization in Motorcycle Engines through Turbulence, Distributed Ignition, and Hybrid Oxygen Assistance</b> / <b>Optimización de la Combustión en Motores de Motocicleta mediante Turbulencia, Ignición Distribuida y Asistencia de Oxígeno Híbrido</b>","source":"datacite","abstract":"Combustion Optimization in Motorcycle Engines through Turbulence, Distributed Ignition, and Hybrid Oxygen Assistance Subtitle A low-cost proposal to improve energy efficiency, reduce emissions, and increase performance in 200 cc motorcycles with sidecar Abstract This paper presents an integrated proposal to improve combustion efficiency in low-displacement motorcycle engines through the combination of three strategies: intake turbulence induction, distributed ignition spark plug, and a low-cost hybrid oxygen assistance system.The objective is to increase energy efficiency, reduce fuel consumption, and improve engine performance, especially under high-load conditions such as motorcycles equipped with a sidecar for transporting up to three people.The proposal is characterized by low cost, ease of implementation, and compatibility with existing engines. 1. Introduction Internal combustion engines used in motorcycles present efficiency limitations due to:incomplete air–fuel mixturesuboptimal flame propagationlimitations under high-load conditionsThe phenomenon of plays a key role in improving combustion by enhancing mixture quality and accelerating flame propagation. 2. Objective To develop a low-cost solution that allows:improved combustion efficiencyreduced fuel consumptiondecreased pollutant emissionsincreased performance under load 3. Scientific Basis 3.1 Intake turbulence The generation of turbulent flow inside the cylinder allows:better mixture homogeneityincreased combustion speedreduction of incomplete combustion zones 3.2 Distributed ignition The use of a multi-spark or multi-electrode spark plug:expands the ignition zonereduces flame propagation timeimproves combustion stability 3.3 Hybrid oxygen A combined system is proposed:dense air generated by the enginecontrolled addition of concentrated oxygen in critical momentsThis increases oxygen availability and improves combustion efficiency without compromising safety. 4. System description The proposed system includes: Intake modification generation of swirl/tumble flow Optimized spark plug crown-type or multi-electrode geometry Hybrid oxygen system small tank with controlled dosingactivation under high-demand conditions 5. Application in sidecar motorcycles In 200 cc motorcycles with sidecar:the engine operates under higher loadgreater energy efficiency is requiredThe proposed solution allows:maintained performancereduced relative fuel consumptionimproved uphill capability 6. Estimated results 6.1 Power Base: 14 HPOptimized: 16.0 – 16.8 HP Increase: 12–20% 6.2 Fuel consumption Base: 2.5 L / 100 kmOptimized: 2.2 – 2.3 L / 100 km Reduction: 8–12% 6.3 Emissions CO: reduction up to 25%HC: reduction up to 25% 7. Economic feasibility Initial cost Additional system: USD 80 – 150 Operating cost Oxygen refill: USD 5 – 15Range: 150 – 300 km Cost per km USD 0.03 – 0.07 8. Advantages Low costApplicable to existing enginesSignificant efficiency improvementReduced environmental impactScalable 9. Limitations Requires experimental validationNeed for oxygen refillingFine tuning required 10. Conclusion The combination of induced turbulence, distributed ignition, and hybrid oxygen assistance represents a viable strategy to improve the efficiency of low-displacement engines without complex structural modifications.This solution is especially relevant for low-cost urban mobility systems such as sidecar motorcycles, where the balance between cost, efficiency, and capacity is critical. Final statement Improving how fuel is burned is one of the most direct and efficient ways to transform mobility without completely changing existing technology. Optimización de la Combustión en Motores de Motocicleta mediante Turbulencia, Ignición Distribuida y Asistencia de Oxígeno Híbrido Subtítulo Propuesta de bajo costo para mejorar la eficiencia energética, reducir emisiones y aumentar el rendimiento en motocicletas de 200 cc con sidecar Resumen Se presenta una propuesta integral para mejorar la eficiencia d","url":"https://doi.org/10.6084/m9.figshare.31866160","authors":["Riveros, Ricardo"],"tags":["Ecological impacts of climate change and ecological adaptation","Environmentally sustainable engineering","Sustainable design","Transport engineering","Intelligent mobility"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.6084/m9.figshare.31866160","addedAt":"2026-08-31T06:39:47.155Z","updatedAt":"2026-08-31T06:39:47.155Z"},{"id":"doi:10.6084/m9.figshare.31711204","name":"Modular Mechanical Assistance System for Cyclists and Green Urban Corridors: Sustainable Mobility, CO₂ Reduction, and Urban Heat Island Mitigation / Sistema Modular de Asistencia Mecánica para Ciclistas y Corredores Urbanos Verdes: Movilidad Sostenible, Reducción de CO₂ y Mitigación de Islas de Calor.","source":"datacite","abstract":"Modular Mechanical Assistance System for Cyclists and Green Urban Corridors: Sustainable Mobility, CO₂ Reduction, and Urban Heat Island Mitigation A low-cost sustainable mobility strategy for cities with variable topography 1. IntroductionCities with irregular topography face structural challenges when promoting bicycle use as a daily mode of transportation. Urban slopes often discourage cycling, particularly for users with limited physical capacity or long commuting distances.Several studies on sustainable mobility show that facilitating bicycle use can significantly reduce automobile dependency, fossil fuel consumption, and urban CO₂ emissions .In this context, this proposal introduces a Modular Mechanical Assistance System for Cyclists , designed to facilitate uphill travel using simple, safe, and low-cost technologies.2. BackgroundA technical precedent is the Trampe bicycle lift installed in , which uses an underground cable system that pushes cyclists uphill via a small foot platform.This system was inaugurated in 1993 and allows cyclists to travel slopes of up to 20 % , with speeds of approximately 7 km/h .However, its relatively high installation cost—estimated between 2000 and 3000 USD per meter —limits its implementation in many cities.For this reason, a simplified modular alternative is proposed in order to reduce costs and enable broader adoption in diverse urban contexts.3. Concept of the proposed systemThe system consists of modular cyclist-assistance segments installed along uphill sections of urban cycling routes.Main characteristics:installation parallel to existing bicycle lanesindependent short moduleslow-speed traction cable or pulling systemelectric or solar energy supplysimple engagement and release mechanismCyclists connect to the system at the base of the slope and disengage once they reach the top.4. Simplified variant inspired by ski liftsIn addition to the cable-assisted system, a second alternative is proposed.Tow-bar or hook assistance systemInspired by ski lift technologies.Characteristics:lateral or overhead cablelightweight tow barlow speed (4–6 km/h)minimal energy consumptionreduced maintenance requirementsThis design can be significantly cheaper than underground cable systems .5. SafetyThe system should incorporate basic safety measures:mandatory helmet userecommended use of glovesminimum distance between cyclistsload sensorsemergency stop systemTo minimize mechanical risks, the design proposes short modular segments , avoiding excessively long cables and reducing possible tension or breakage effects.6. Estimated comparative costsSystemApproximate costTraditional CycloCable system2000–3000 USD per meterProposed simplified modular system200–500 USD per meterTow-bar ski-lift type system100–300 USD per meterThe reduction in costs could allow pilot systems even in cities with limited infrastructure budgets.7. Estimated urban impactIf a 1-km assisted cycling corridor encourages adoption by 1000 daily users , the following benefits may occur.Fuel savingsIf each user replaces a 5-km car trip :Estimated fuel savings:≈ 1500 liters per day Emission reductionsAverage gasoline emissions:≈ 2.3 kg CO₂ per liter Estimated reduction:≈ 3.4 tons of CO₂ per day Additional urban benefitsreduction in traffic congestionlower atmospheric pollutionimproved urban air qualitypromotion of physical activityreduction of urban noise levels8. Urban heat island mitigationIncreasing bicycle use and reducing vehicle traffic indirectly contributes to mitigating the .Fewer vehicles imply:less heat generated by engineslower emissions of pollutantsreduced thermal accumulation in heavily trafficked pavementsThis contributes to improving the urban microclimate .9. Global applicabilityThe system is designed to be: modular adaptable economically accessible Each city may adjust:length of modulestraction technologyoperational speedenergy sourcesThis allows progressive implementation in cities with different geographic and economic condit","url":"https://doi.org/10.6084/m9.figshare.31711204","authors":["Riveros, Ricardo"],"tags":["Ecological impacts of climate change and ecological adaptation","Environmentally sustainable engineering","Urban design","Sustainable design","Intelligent mobility"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.6084/m9.figshare.31711204","addedAt":"2026-08-31T06:39:47.155Z","updatedAt":"2026-08-31T06:39:47.155Z"},{"id":"doi:10.6084/m9.figshare.31272748","name":"<b>Integrated Urban Thermal Mitigation and Climate Corridors System</b> / <b>Sistema Integrado Urbano de Mitigación Térmica y Corredores Climáticos</b>","source":"datacite","abstract":"Integrated Urban Thermal Mitigation and Climate Corridors System 1. Introduction This project proposes an innovative urban system , inspired by harmony and functionality of great architectural works, integrating thermal engineering, hydraulics, and bioclimatic design to reduce urban temperature, improve air quality, and increase sustainability in densely populated cities.The system combines: Transparent or semi-covered street tunnels for solar insulation. Capture and management of vehicular heat through passive ventilation and water cooling. Vertical and horizontal green corridors , including biofilters and natural evaporative cooling. Internal water infrastructure for circulation and irrigation. Light and ecological transport , including floating platforms and low-emission vehicles. 2. Urban Problem Modern cities face:High surface temperatures (pavement, asphalt, buildings)Direct heat emissions from combustion enginesIncreased urban heat islandsThermal stress on inhabitants and animalsHigh energy consumption for air conditioning 3. Physical Principles Applied Solar and IR insulation : selective transparent materials to reduce heat absorption. Capture and dissipation of vehicular heat : passive ventilation, thermal chimneys, coils, and misting systems to cool engines and exhaust radiation. Heat transfer through water : internal piping and active circulation to remove thermal energy. Urban heat mitigation via vegetation : evaporation, shading, dust and pollutant filtration. 4. System Architecture Tunnels or semi-tunnels along key streets and avenues. Passive ventilation with chimneys and fresh air intakes. Internal water coils for active cooling of air and surfaces. Planters and vegetation distributed longitudinally and vertically. Sensors and monitoring : temperature, humidity, airflow, radiation. 5. Vehicular Heat Capture Thermal insulation of engines and exhausts.Channeling heat toward internal cooling systems.Reduction of direct radiation to pavement and urban air. 6. Water Cooling Evaporative misting systems.Circulation through internal piping.Recirculation and reuse of rainwater or treated water. 7. Green Integration Vertical gardens in transparent tunnels.Vegetative biofilters for air quality.Evergreen vegetation laterally and above, connected to irrigation systems. 8. Expected Impact Reduction of surface and ambient temperature: 3–8 °C in critical corridors .Lower human thermal stress.Reduced urban energy consumption.Increased comfort and sustainable mobility. 9. Scalability Applicable in critical corridors, not the entire city.Can be combined with cool pavements and external shaded areas.Modular: expandable according to climate needs and budget. 10. Technical Feasibility Existing materials: polycarbonate, low-e glass, concrete, PVC or steel piping for water.Evaporative cooling and passive ventilation technologies are already proven in tunnels and stadiums.Green integration relies on resistant, low-maintenance plant species. 11. Conclusion This system proposes an integrated urban intervention addressing solar radiation, vehicular heat, and urban surfaces, while integrating vegetation and water for environmental and climatic mitigation.It is an original, scientifically feasible, and scalable concept , providing clear benefits for people and urban infrastructure , inspiring greener, more sustainable cities. Sistema Integrado Urbano de Mitigación Térmica y Corredores Climáticos 1. Introducción El presente proyecto propone un sistema urbano innovador , inspirado en la armonía y funcionalidad de grandes obras arquitectónicas, que integra ingeniería térmica, hidráulica y diseño bioclimático para reducir la temperatura urbana, mejorar la calidad del aire y aumentar la sostenibilidad en ciudades densamente pobladas.El sistema combina: Túneles transparentes o semicubiertos sobre calles para aislamiento solar. Captura y gestión del calor vehicular mediante ventilación pasiva y enfriamiento por agua. Corredores verdes verticales y","url":"https://doi.org/10.6084/m9.figshare.31272748","authors":["Riveros, Ricardo"],"tags":["Ecological impacts of climate change and ecological adaptation","Environmentally sustainable engineering","Sustainable design","Urban design","Urban hydrology"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.6084/m9.figshare.31272748","addedAt":"2026-08-31T06:39:47.155Z","updatedAt":"2026-08-31T06:39:47.155Z"},{"id":"doi:10.6084/m9.figshare.31258705","name":"<b>Integrated Urban Mobility and Mitigation System Based on Water and Floating Platforms</b> / <b>Propuesta Integrada de Movilidad y Mitigación Urbana Basada en Agua y Plataformas Flotantes</b>","source":"datacite","abstract":"Integrated Urban Mobility and Mitigation System Based on Water and Floating Platforms PLEASE READ/ FAVOR LEER Technical Annex: Integrated Urban System with Water, Floating Platforms, and Amphibious Spherical Vehicles PLEASE READ / FAVOR LEER Riveros, Ricardo (2025). Elevated Urban Water Corridors and Solar-Powered Floating Platforms for Clean Mobility and Urban Heat Reduction. Water-feedback loop for many cities . figshare. Presentation. https://doi.org/10.6084/m9.figshare.30740726.v11 PLEASE READ / FAVOR LEER Riveros, Ricardo (2025). Complementary Hydrodynamic Wave-Assisted Return System for Water-Based Urban Transport Corridors / Sistema Complementario de Retorno Hidrodinámico Asistido por Olas para Corredores Urbanos de Transporte Basado en Agua. figshare. Presentation. https://doi.org/10.6084/m9.figshare.30743411.v1 1. Introduction This project proposes an integrated urban system combining: Green corridors with circulating water , Floating platforms on parallel channels , Amphibious spherical vehicles , Lightweight and ecological urban transport , Urban heat island mitigation and air quality improvement .The goal is to reduce urban temperatures, optimize mobility, and increase the sustainability of medium and large cities , integrating renewable energy, hydraulic engineering, and urban biology. 2. Specific Objectives Reuse piped or urban watercourses through solar-powered hydraulic elevation .Implement parallel elevated channels of treated water along key avenues.Develop modular floating platforms , stable and efficient, based on compressed-air floats.Integrate amphibious spherical vehicles , capable of moving on land and water, reducing single-occupant large vehicles.Incorporate automated urban vegetation , planters irrigated from channels, and linear wetlands.Evaluate impact on urban heat mitigation, pollution reduction, and traffic congestion . 3. Proposed Technology 3.1 Water Elevation Uses low-power pumps, level stations, flow sensors, and solar-powered turbines .Continuous circulation prevents stagnation and ensures irrigation for vegetation. 3.2 Parallel Elevated Channels Channels are located slightly below street level , accessible for maintenance and flow regulation.Treated water can circulate in one or both directions depending on urban design. 3.3 Floating Platforms Base floats using compressed-air tubes , providing stability.Lateral stabilizers and load distribution sensors ensure balance.Platforms move smoothly along channels, either assisted by water flow or electric motors. 3.4 Movement Water is moved by solar-powered low-power turbines , hydraulic recirculation, and controlled flow.Platforms can transport passengers or light cargo, integrating with urban mobility. 3.5 Green Integration Includes longitudinal planters irrigated automatically from the channels.Converts avenues into “green corridors” with trees, low-maintenance plants, and linear wetlands. 4. Amphibious Spherical Vehicles 4.1 Structure and Flotation Hollow sphere with internal air chambers ensures buoyancy in water : F_b = \\rho_{water} \\cdot g \\cdot V_{submerged} \\geq m_{vehicle} \\cdot g 4.2 Movement On land : internal rollers control movement and direction via center-of-gravity shifts. On water : small propellers, water jets, or controlled tilting allow motion. Speed : 15–25 km/h on land, 3–5 km/h in water. 4.3 Stability Internal gyroscopes and electronic control maintain balance and safety. 5. Ecological Integration Evapotranspiration from trees and plants reduces surface temperature by 2–5 °C.Trees and planters naturally filter dust and PM2.5–PM10 particles.Green corridors connect avenues and urban spaces, creating cooler, healthier zones. 6. Energy and Sustainability System powered by solar panels for pumps and turbines.Floating platforms and spherical vehicles use efficient electric motors .Integration of individual and collective transport maximizes energy efficiency. 7. Combined Benefits Sustainable urban transport , reducing empty large","url":"https://doi.org/10.6084/m9.figshare.31258705","authors":["Riveros, Ricardo"],"tags":["Ecological impacts of climate change and ecological adaptation","Environmentally sustainable engineering","Sustainable design","Urban design","Urban hydrology"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.6084/m9.figshare.31258705","addedAt":"2026-08-31T06:39:47.155Z","updatedAt":"2026-08-31T06:39:52.013Z"},{"id":"doi:10.6084/m9.figshare.31022107","name":"<b>Integrated Suburban Waterborne Transport and Progressive Desalination System for Urban Water Supply and Climate Cooling</b> / <b>Sistema Integrado de Transporte Acuático Suburbano y Desalinización Progresiva para Abastecimiento Urbano y Enfriamiento Climático</b>","source":"datacite","abstract":"Sistema Integrado de Transporte Acuático Suburbano y Desalinización Progresiva para Abastecimiento Urbano y Enfriamiento Climático Resumen Se presenta un sistema integrado de infraestructura territorial destinado a ciudades ubicadas a distancias moderadas del mar, que combina transporte acuático suburbano de baja energía, desalinización progresiva de agua de mar, producción distribuida de agua potable y creación de cinturones verdes periurbanos. El sistema utiliza canales con pendiente suave para la circulación de plataformas flotantes de transporte de personas, mientras el agua de mar es desalinizada gradualmente mediante módulos térmicos pasivos (tanques tipo “pulpo” y sistemas de evaporación-condensación modulares). El agua dulce resultante se destina al consumo urbano y al riego de corredores verdes que reducen la isla de calor urbana. La propuesta está diseñada como solución implementable con tecnologías existentes, sin requerir desarrollos experimentales ni materiales especiales. 1. Introducción El crecimiento urbano, el aumento de temperaturas extremas y la escasez hídrica están convergiendo en un problema sistémico que no puede resolverse mediante soluciones aisladas. Las ciudades costeras o cercanas al mar enfrentan simultáneamente desafíos de movilidad suburbana, disponibilidad de agua potable, consumo energético elevado y aumento de la temperatura urbana. Este trabajo propone una infraestructura integrada que aborda estos desafíos de manera simultánea, utilizando principios físicos conocidos y tecnologías de bajo costo operativo. 2. Principios físicos y tecnológicos El sistema se fundamenta en principios ampliamente validados:Circulación de agua por gravedad en canales de pendiente mínima.Flotación para transporte de plataformas sin consumo energético directo.Evaporación y condensación térmica para desalinización.Enfriamiento ambiental mediante evapotranspiración vegetal.Modularidad para adaptación territorial.No se emplean procesos de alta presión, membranas complejas ni consumos energéticos intensivos. 3. Descripción del sistema 3.1 Canales acuáticos suburbano–urbanosSe construyen dos canales paralelos de agua, con pendiente suave, desde zonas suburbanas hacia el núcleo urbano. Sobre estos canales circulan plataformas flotantes destinadas al transporte de personas, permitiendo movilidad continua sin motores de combustión interna.3.2 Alimentación con agua de marEl sistema se alimenta con agua de mar captada en la costa. El agua ingresa a los canales y comienza un proceso de tratamiento progresivo a lo largo del recorrido hacia la ciudad.3.3 Desalinización progresiva distribuidaA lo largo del trayecto se instalan módulos de desalinización pasiva:Tanques térmicos tipo “pulpo” que aprovechan aire caliente ascendente.Sistemas de evaporación-condensación modulares (“cajitas chinas”).Estos módulos elevan gradualmente la temperatura del agua, permitiendo la separación de vapor y su posterior condensación como agua dulce.3.4 Producción y uso del agua dulceEl agua dulce obtenida se utiliza para:Abastecimiento urbano.Riego de cinturones verdes periurbanos.Alimentación de reservorios subterráneos para estabilización térmica. 4. Enfriamiento urbano y cinturones verdes En las cercanías de la ciudad, el agua ya desalinizada se emplea para el riego de corredores y cinturones verdes estratégicamente ubicados. Estos sistemas vegetales reducen la temperatura del aire mediante evapotranspiración, disminuyen la isla de calor urbana y mejoran la calidad ambiental. 5. Integración con infraestructura urbana Al ingresar a la ciudad, los canales se conectan con sistemas urbanos existentes de plataformas acuáticas, formando una red continua de movilidad y gestión hídrica. El sistema no compite con la infraestructura urbana, sino que la complementa y refuerza. 6. Beneficios principales Transporte suburbano ecológico sin emisiones directas.Producción distribuida de agua potable a bajo costo energético.Reducción de temperaturas urbanas extrema","url":"https://doi.org/10.6084/m9.figshare.31022107","authors":["Riveros, Ricardo"],"tags":["Ecological impacts of climate change and ecological adaptation","Global and planetary environmental engineering","Land use and environmental planning","Environmentally sustainable engineering"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.6084/m9.figshare.31022107","addedAt":"2026-08-31T06:39:47.155Z","updatedAt":"2026-08-31T06:39:52.013Z"},{"id":"doi:10.6084/m9.figshare.30875570","name":"<b>Urban Kinetic Footwear for Accelerated Pedestrian Mobility and Environmental Impact Reduction in Cities</b> / <b>Calzado Cinético Urbano para la Aceleración del Desplazamiento Peatonal y la Reducción del Impacto Ambiental en Ciudades</b>","source":"datacite","abstract":"Calzado Cinético Urbano para la Aceleración del Desplazamiento Peatonal y la Reducción del Impacto Ambiental en Ciudades Resumen El presente documento propone el desarrollo conceptual de un calzado cinético urbano diseñado para aumentar la eficiencia del desplazamiento peatonal mediante la recuperación y redistribución de la energía mecánica generada durante la marcha humana. El objetivo es incrementar la velocidad y el alcance caminable diario de millones de personas , reduciendo el uso de transporte motorizado en trayectos urbanos cortos, con beneficios directos en salud pública, calidad del aire y mitigación del cambio climático . 1. Contexto y justificación Las ciudades modernas enfrentan una combinación crítica de problemas:Congestión vehicular.Elevado consumo de combustibles fósiles.Contaminación del aire.Sedentarismo creciente.Aumento de enfermedades asociadas a la inactividad física.Islas de calor urbano.Diversos estudios en planificación urbana muestran que más del 50% de los viajes urbanos diarios son menores a 5 km , distancia perfectamente caminable desde el punto de vista fisiológico, pero percibida como excesiva por tiempo, esfuerzo o fatiga.Reducir esa percepción de esfuerzo constituye una de las estrategias más efectivas para cambiar el comportamiento urbano sin imponer restricciones . 2. Principio biomecánico del sistema propuesto El calzado cinético urbano se basa en principios bien conocidos de la biomecánica humana:Durante la marcha, el cuerpo humano genera energía mecánica significativa en cada paso.En el calzado convencional, esta energía se disipa principalmente como calor .El sistema propuesto busca almacenar temporalmente parte de esa energía y devolverla en la fase de impulso . Mecanismo en V de transferencia de energía El núcleo del diseño es un mecanismo interno en forma de V , integrado en la base del calzado: Fase de contacto del talón El apoyo inicial del pie comprime un sistema regulable (resorte, fluido hidráulico o combinación).Se almacena energía mecánica proporcional al peso del caminante. Fase de transición plantar La energía se transfiere internamente hacia el segundo brazo del sistema en V, alineado con el centro de gravedad y la dirección del avance. Fase de impulso La energía acumulada se libera de forma controlada, asistiendo el movimiento hacia adelante y ligeramente hacia arriba.El efecto no es un “salto”, sino un alivio del esfuerzo muscular .Este principio es coherente con investigaciones existentes en prótesis energéticas, suelas de retorno elástico y dispositivos pasivos de asistencia a la marcha. 3. Seguridad y control del sistema El diseño contempla desde su origen criterios estrictos de seguridad: Regulación del nivel de asistencia según peso corporal y tipo de caminata. Bloqueo manual del mecanismo , permitiendo que el calzado funcione como uno convencional cuando el usuario lo desee.Limitación mecánica del retorno de energía para evitar aceleraciones bruscas.Estabilidad lateral reforzada mediante una base ligeramente más ancha que la convencional.El sistema no pretende aumentar la fuerza máxima, sino optimizar la eficiencia del movimiento natural . 4. Impacto esperado en movilidad urbana La implementación masiva de este tipo de calzado podría generar:Incremento estimado del 10–20% en la velocidad media de caminata urbana .Ampliación del radio caminable cotidiano hasta 4–5 km sin aumento significativo de fatiga.Sustitución progresiva de viajes motorizados cortos por caminatas.Incluso una adopción parcial (5–10% de la población urbana) tendría efectos medibles en:Reducción del consumo de combustible.Disminución de emisiones contaminantes.Menor congestión en horas pico. 5. Beneficios en salud pública Caminar más y durante más tiempo genera:Mejora cardiovascular.Reducción de obesidad y enfermedades metabólicas.Disminución del estrés urbano.Mayor bienestar psicológico.A diferencia de programas deportivos, esta propuesta no exige cambios de hábito conscientes , sino que facilita u","url":"https://doi.org/10.6084/m9.figshare.30875570","authors":["Riveros, Ricardo"],"tags":["Ecological impacts of climate change and ecological adaptation","Transport engineering","Urban planning and health"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.6084/m9.figshare.30875570","addedAt":"2026-08-31T06:39:47.155Z","updatedAt":"2026-08-31T06:39:47.155Z"},{"id":"doi:10.6084/m9.figshare.30743411","name":"<b>Complementary Hydrodynamic Wave-Assisted Return System for Water-Based Urban Transport Corridors</b> / <b>Sistema Complementario de Retorno Hidrodinámico Asistido por Olas para Corredores Urbanos de Transporte Basado en Agua</b>","source":"datacite","abstract":"Complementary Hydrodynamic Wave-Assisted Return System for Water-Based Urban Transport Corridors Abstract This supplementary proposal introduces a hydrodynamic wave-assisted return mechanism to further increase the efficiency and sustainability of the water-based urban transit system previously described. The mechanism employs intermittent water pumps and air nozzles to generate a controlled traveling wave inside the return channel, allowing mobile platforms to return to their origin using significantly less water than the outbound route. The system also enhances energy efficiency, operational stability, and integrated water management for urban vegetation and microclimate regulation. 1. Introduction The previously published proposal outlined a new urban transit system using water-guided mobile platforms operating in elevated or surface-level channels and powered by renewable energy. The outward route uses controlled water flow for propulsion and movement coordination.To further improve environmental performance and reduce water consumption, this supplementary proposal describes a hydrodynamic wave-assisted mechanism for the return channel, optimizing the reuse of water and minimizing operational losses. 2. Rationale for a Wave-Assisted Return Channel The original design followed the natural or engineered direction of rivers, streams, or piped systems for platform return. While functional, it required a steady volume of water.A wave-assisted model dramatically reduces the required water mass by enabling platforms to ride a traveling hydrodynamic wave generated with intermittent bursts of water and air pressure. This complements the original proposal by enhancing efficiency and reinforcing the circularity of the system. 3. Technical Description 3.1 Wave Generation System The return channel incorporates: Intermittent water pumps , placed at intervals, releasing controlled pulses. Air nozzles (toberas) capable of delivering short bursts of compressed air.These elements act together to create a low-amplitude, forward-moving wave along the length of the channel. 3.2 Platform Integration Mobile platforms returning along this path:Ride the generated wave, reducing hydrodynamic drag.Maintain stable spacing due to the periodic nature of the pulses.Consume significantly less water and energy than during the outbound trip. 4. Advantages of the Wave-Assisted System 4.1 Water Conservation Because movement is wave-driven, the system requires:Lower water volumes,Minimal continuous flow,Reduced losses due to splashing or evaporation. 4.2 Energy Efficiency The pumps and nozzles operate intermittently, not continuously. This allows the system to run using: Solar power,Stored hydraulic pressure,Low-demand electrical management. 4.3 System Stability The traveling wave acts as a natural conveyor , providing:Predictable return speeds,Improved spacing control,Enhanced safety. 4.4 Integrated Water Management The reduced water requirement frees substantial reserve water for:Flow equilibrium along the system,Vegetation irrigation in green corridors accompanying the structure,Local evaporative cooling to regulate urban microclimates. 5. Conclusion The hydrodynamic wave-assisted return mechanism strengthens the feasibility, sustainability, and circular efficiency of water-based urban transit. It optimizes resource use, enhances operational stability, and integrates ecological benefits into transportation infrastructure.This supplement complements the original proposal and provides a new pathway for urban planners and environmental engineers to explore advanced, low-impact mobility systems suitable for future cities. FAVOR LEER / PLEASE READ Riveros, Ricardo (2025). Elevated Urban Water Corridors and Solar-Powered Floating Platforms for Clean Mobility and Urban Heat Reduction. Water-feedback loop for many cities . figshare. Presentation. https://doi.org/10.6084/m9.figshare.30740726.v9Riveros, Ricardo (2025). Title: Hydro-Aerial Urban Mobility System (HAUM","url":"https://doi.org/10.6084/m9.figshare.30743411","authors":["Riveros, Ricardo"],"tags":["Ecological impacts of climate change and ecological adaptation","Environmentally sustainable engineering","Urban design","Urban hydrology"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.6084/m9.figshare.30743411","addedAt":"2026-08-31T06:39:47.155Z","updatedAt":"2026-08-31T06:39:52.013Z"},{"id":"doi:10.6084/m9.figshare.30740726","name":"<b>Elevated Urban Water Corridors and Solar-Powered Floating Platforms for Clean Mobility and Urban Heat Reduction. Water-feedback loop for many cities </b>","source":"datacite","abstract":"Corredores Urbanos de Agua Elevada y Plataformas Flotantes Solares para Movilidad Limpia y Reducción del Calor Urbano 1. Resumen Muchas ciudades del mundo poseen ríos o arroyos entubados bajo grandes avenidas. Estas corrientes de agua, actualmente ocultas y desaprovechadas, podrían elevarse a niveles próximos a la superficie para generar corredores de agua destinados a mitigar el calor urbano, irrigar vegetación y servir como base para plataformas flotantes de transporte sustentable. La presente propuesta describe un sistema integrado donde canales paralelos de agua tratada sostienen plataformas flotantes apoyadas en tubos de aire comprimido, con movimiento regulado por turbinas hidráulicas alimentadas por energía solar. El sistema combina hidrología urbana, movilidad limpia y microclimatización sostenible. 2. Introducción y Justificación Científica Las ciudades enfrentan tres problemas críticos: Islas de calor urbano : Las grandes avenidas absorben radiación y elevan la temperatura entre 2 y 7 °C respecto a zonas verdes. Infraestructura subterránea desaprovechada : En muchas metrópolis, ríos y arroyos fueron entubados por razones sanitarias o urbanísticas. Emisiones del transporte : La movilidad basada en combustibles fósiles sigue siendo uno de los principales contaminantes urbanos.Ejemplos de ciudades con cursos de agua entubados: Buenos Aires, São Paulo, Ciudad de México, Madrid, Seúl y Los Ángeles. Algunas (Seúl) han demostrado que restaurar o elevar el agua reduce significativamente la temperatura local y mejora la calidad del aire.La propuesta apunta a transformar esta infraestructura subterránea en un recurso ambiental y social. 3. Objetivos Objetivo general Desarrollar un sistema urbano basado en agua elevada y plataformas flotantes para reducir la temperatura urbana, mejorar la vegetación y ofrecer transporte de baja energía. Objetivos específicos Reutilizar cursos de agua entubados mediante elevación hidráulica.Implementar canales paralelos de agua tratada sobre avenidas.Desarrollar plataformas flotantes basadas en tubos de aire comprimido (principio de Arquímedes).Incorporar turbinas solares para circulación del agua.Integrar riego automatizado mediante derivaciones de cada canal.Evaluar el impacto en la mitigación de calor urbano. 4. Tecnología Propuesta 4.1 Elevación del agua Se utilizan:bombas de baja energía,estaciones de nivel,sensores de flujo,turbinas impulsadas por energía solar.Esto permite mantener el agua circulando de manera continua sin riesgo de estancamiento. 4.2 Canales paralelos elevados Los canales se ubican bajo la superficie de la avenida , pero a muy poca profundidad , permitiendo accesibilidad para mantenimiento y regulación. El agua tratada circula en ambos sentidos o en un único sentido, según el diseño urbano. 4.3 Plataformas flotantes La base flotante funciona con: tubos de aire comprimido (similares a los flotadores de hidroaviones),estabilizadores laterales,sensores de distribución de carga,estructura liviana y rígida.La plataforma se apoya simultáneamente en ambos canales, permitiendo un desplazamiento lineal suave y sin rieles sólidos. 4.4 Movimiento El agua en los canales se mueve mediante:turbinas solares de baja potencia,sistemas de recirculación hidráulica,control de caudal para regular velocidad de las plataformas. 4.5 Integración verde Se incluyen maceteros longitudinales irrigados automáticamente desde los canales laterales.Esto convierte avenidas en “corredores verdes” con:árboles de bajo mantenimiento,plantas perennes,humedales lineales controlados. 5. Sustento Científico 5.1 Principios hidrológicos La elevación de agua subterránea es un procedimiento estándar en ingeniería civil. La circulación superficial contribuye a: reducción térmica por evaporación,disipación de calor por conducción y convección,creación de microclimas frescos. 5.2 Principios de flotación (Arquímedes) Los tubos con aire comprimido generan suficiente flotabilidad para sostener plataformas livianas. Modelo","url":"https://doi.org/10.6084/m9.figshare.30740726","authors":["Riveros, Ricardo"],"tags":["Ecological impacts of climate change and ecological adaptation","Environmentally sustainable engineering","Urban design","Urban hydrology"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.6084/m9.figshare.30740726","addedAt":"2026-08-31T06:39:47.155Z","updatedAt":"2026-08-31T06:39:52.013Z"},{"id":"doi:10.6084/m9.figshare.30643163","name":"Modular System of Sustainable Urban Corridors (SMCUS) / Sistema Modular de Corredores Urbanos Sostenibles (SMCUS)","source":"datacite","abstract":"Sistema Modular de Corredores Urbanos Sostenibles (SMCUS) Una infraestructura integrada para movilidad, energía renovable y enfriamiento urbano Resumen El presente proyecto introduce un sistema urbano modular denominado Sistema Modular de Corredores Urbanos Sostenibles (SMCUS) , diseñado para abordar simultáneamente tres desafíos críticos en ciudades contemporáneas: Movilidad urbana sostenible Reducción del calor urbano y mejora bioclimática Generación distribuida de energía renovable SMCUS surge como una evolución del concepto de “corredor tubular ciclista”, ampliando su alcance hacia una infraestructura urbana capaz de integrarse en distintos tipos de calles, avenidas y rutas, adaptándose a la morfología de cada ciudad. La propuesta combina tecnología solar, sombreado inteligente, vegetación adaptada y sistemas de movilidad ligera y eléctrica. 1. Introducción Las ciudades actuales enfrentan crecientes desafíos derivados del calor urbano, la congestión, la contaminación atmosférica y la demanda energética. La transición hacia infraestructuras sostenibles requiere soluciones modulares, económicas y replicables. SMCUS propone una red urbana continua, ampliable por tramos, que introduce corredores energéticos y bioclimáticos en zonas estratégicas para optimizar movilidad, energía y temperatura ambiental. 2. Concepto General del Sistema Modular SMCUS El sistema está compuesto por módulos independientes , cada uno enfocado en una función específica, pero integrables entre sí: Módulo 1 — Corredor Tubular de Ciclistas (CTC) Versión mejorada del corredor original.Techo de paneles solares ligeros y resistentes.Sombreado continuo para corredores ciclistas.Microaspersión opcional para enfriamiento evaporativo en días críticos.Vegetación lateral o colgante según espacio disponible.Carrito eléctrico líder para asistencia a ciclistas, logística pequeña o emergencias. Módulo 2 — Corredores Energéticos de Avenidas (CEA) Estructuras elevadas que cubren avenidas de alto tránsito.Paneles solares superiores de mayor superficie.Reducción significativa del calor irradiado por el pavimento.Suministro directo a alumbrado público, estaciones de carga o red eléctrica local.Posibilidad de incorporar vegetación colgante filtrante. Módulo 3 — Sombreado de Rutas Urbanas y Autopistas Lentas (SRUAL) Estructuras de sombra para zonas de tránsito constante pero velocidades moderadas.Soportes más espaciados y robustos.Reducción del calentamiento extremo en superficies asfaltadas.Incremento de la seguridad por disminución del encandilamiento solar.Ideal para ciudades cálidas con tráfico constante. Módulo 4 — Estaciones de Acumulación Solar e Hidráulica (EASH) Pequeñas estaciones cada ciertos kilómetros.Acumuladores de energía solar para servicios urbanos.Recarga de bicicletas, scooters o vehículos ligeros.Baterías urbanas para resiliencia energética.Integración con sistemas hidráulicos de microgeneración local si existiera infraestructura previa. Módulo 5 — Integración con Espacios Verdes Urbanos (IEVU) Tramos verdes que conectan parques y plazas.Corredores bioclimáticos con vegetación adaptada.Restauración de biodiversidad urbana.Mejora directa de la calidad del aire y la sensación térmica.Enfriamiento por evapotranspiración. 3. Beneficios Esperados Ambientales Reducción de islas de calor urbano.Aumento del albedo urbano y disminución del estrés térmico.Captura distribuida de CO₂ a través de vegetación. Energéticos Generación renovable distribuida.Suministro para iluminación pública y movilidad ligera.Reducción de demanda energética en horas pico. Sociales Mayor seguridad para ciclistas y peatones.Reducción de accidentes por calor extremo.Movilidad inclusiva y de bajo costo.Espacios de convivencia ecológica. Urbanísticos Modularidad de instalación.Adaptabilidad a calles, avenidas y rutas.Integración con sistemas de transporte público. 4. Escalabilidad del Proyecto El sistema está pensado para implementarse por tramos:Inicia con corredores ciclistas o tramos ene","url":"https://doi.org/10.6084/m9.figshare.30643163","authors":["Riveros, Ricardo"],"tags":["Ecological impacts of climate change and ecological adaptation","Environmentally sustainable engineering"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.6084/m9.figshare.30643163","addedAt":"2026-08-31T06:39:47.155Z","updatedAt":"2026-08-31T06:39:47.155Z"},{"id":"doi:10.6084/m9.figshare.30574544","name":"Tubular Cycling Corridor (Hydro-Aerial Mobility Concept) / Corredor Tubular de Ciclismo (Concepto de Movilidad Hidro-Aérea)","source":"datacite","abstract":"This proposal presents a modular tubular cycling infrastructure designed to enhance aerodynamic efficiency and safety in urban environments. The system includes an electric aerodynamic lead vehicle traveling at regular intervals through a 1 km-long covered tubular corridor , generating a controlled slipstream that allows groups of cyclists to ride with reduced air resistance and physical effort .The concept integrates vehicle-to-bicycle communication (V2X) , coordinated braking systems, and lightweight transparent materials to ensure visibility and comfort. It aims to maintain comfortable urban cycling speeds (15–25 km/h) without excessive exertion, making cycling a practical commuting option for the general population. Plan Alternative Assisted Urban Cycling System with Leader Cart: Modular Tow-Link for Energy Efficiency and Comfort. Abstract: We propose a modular urban cycling system in which a lightweight electric leader cart creates an aerodynamic rebufo for following cyclists. The system includes tow-link assistance , which helps cyclists maintain speed with reduced effort, especially on gentle uphill sections, while preserving independence and safety. Description: The leader cart is designed to guide pelotons of 10–20 cyclists along elevated or dedicated urban corridors.On horizontal and slight downhill stretches , cyclists benefit from aerodynamic drafting, pedaling comfortably while conserving energy.On gentle uphill sections , the tow-link assistance provides extra traction, helping cyclists overcome the slope with minimal effort.Each cyclist remains in control and can disconnect easily if desired.The system is modular , allowing deployment in segments of ~1000 meters, adaptable to urban layout and demand.This concept promotes sustainable, efficient, and comfortable urban mobility , reducing individual effort and increasing the attractiveness of cycling as a daily transportation option. Impact: Encourages the use of bicycles in cities, making cycling accessible for a wider population.Reduces energy expenditure for cyclists and supports eco-friendly transport solutions.Modular design allows gradual implementation and easy expansion according to urban needs. Optimization of Aerodynamic Coverage for the Tubular Cycling Corridor (Hydro-Aerial Mobility Concept) This proposal refines the aerodynamic configuration of the Tubular Cycling Corridor , a modular and sustainable infrastructure designed to promote clean, efficient urban mobility. The study establishes that an optimal frontal cone coverage between 60 % and 75 % of the tube’s internal diameter significantly improves air flow stability, reduces turbulence, and maintains sufficient ventilation for thermal balance. A 4-meter extended aerodynamic cone provides effective wind shielding for 10 to 15 cyclists , enabling comfortable cruising speeds of 25–30 km/h with minimal physical effort. The system is conceived for low-cost implementation in both horizontal and mildly ascending routes, integrating aerodynamic performance with ecological urban design principles. Resumen Se propone una infraestructura ciclable modular de tipo tubular que mejora la eficiencia aerodinámica y la seguridad urbana mediante un vehículo líder eléctrico aerodinámico que circula periódicamente por un corredor cubierto de 1 km de longitud . Este vehículo genera una zona de rebufo controlada , permitiendo que grupos de ciclistas avancen con menor resistencia al aire y menor esfuerzo físico .El sistema incorpora comunicación vehículo–bicicleta (V2X) , freno coordinado y materiales livianos y transparentes que garantizan visibilidad y confort. Busca mantener velocidades urbanas cómodas de 15 a 25 km/h , adecuadas para la mayoría de la población sin requerir gran esfuerzo físico. Plan Alternativo Sistema de Ciclismo Urbano Asistido con Carrito Líder: Tow-Link Modular para Eficiencia Energética y Comodidad. Resumen: Proponemos un sistema urbano de ciclismo en el que un carrito eléctrico líder liviano cre","url":"https://doi.org/10.6084/m9.figshare.30574544","authors":["Riveros, Ricardo"],"tags":["Ecological impacts of climate change and ecological adaptation"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.6084/m9.figshare.30574544","addedAt":"2026-08-31T06:39:47.155Z","updatedAt":"2026-08-31T06:39:47.155Z"},{"id":"doi:10.6084/m9.figshare.30529214","name":"Title: Hydro-Aerial Urban Mobility System (HAUMS): Integrated Tubular Network for Clean Transport, Urban Cooling, and Water Recovery / Título: Sistema Hidro-Aéreo de Movilidad Urbana (HAUMS): Red tubular integrada para transporte limpio, enfriamiento urbano y recuperación del agua","source":"datacite","abstract":"Hydraulic Tubular Urban Transport System for Sustainable CitiesPart of the Integrated Network For Planetary Sustainability Initiative / Parte de la Iniciativa Red Integrada para la Sostenibilidad Planetaria.This proposal presents an innovative concept for sustainable urban transport: a hydraulic tubular network operating above existing streets, powered by a combination of water and air propulsion with solar energy assistance.The system is built around twin semi-enclosed tubes forming a figure-eight shape:The lower section carries a steady, low-turbulence flow of water that supports the capsules’ motion.The upper section channels controlled air streams that complement the hydraulic flow and increase efficiency.Passenger capsules, light and aerodynamic, travel inside these tubes. Movement is generated by the natural decline of water flow, assisted by solar-powered pumps and compressors.At height differences or intersections, hydraulic elevators —inspired by the lock mechanism of the Panama Canal— lift or lower the capsules smoothly, without traditional mechanical friction systems.The network can expand like a web around the city, creating circumferential routes that connect polluted or congested areas with cleaner, greener peripheries.This dual system provides zero-emission mobility while improving urban air circulation and water recycling, helping to stabilize microclimates in dense urban zones.Before physical construction, the project proposes computational simulation through hydrodynamic and atmospheric modeling, to evaluate flow behavior, energy balance, and safety parameters.This phase will also allow optimization of materials, urban integration, and control algorithms for automated guidance and scheduling.This concept integrates engineering, environmental design, and ethics:a transport technology that serves both people and nature, symbolizing a future where cities breathe, flow, and move sustainably together.Ricardo RiverosIndependent ResearcherEnvironmental Innovation-- EspañolSistema Tubular Hidráulico de Transporte Urbano para Ciudades SosteniblesEsta propuesta presenta un concepto innovador de transporte urbano sostenible: una red tubular hidráulica que opera sobre las calles existentes, impulsada por una combinación de fuerza del agua y del aire, asistida por energía solar.El sistema se compone de tubos gemelos semicerrados con forma de ocho:La sección inferior transporta un flujo continuo y de baja turbulencia de agua, que impulsa las cápsulas.La sección superior canaliza corrientes de aire controladas que complementan el movimiento hidráulico y aumentan la eficiencia.Las cápsulas, ligeras y aerodinámicas, se desplazan dentro de los tubos. El movimiento se genera por el declive natural del agua, reforzado por bombas y compresores solares.En los desniveles o intersecciones, elevadores hidráulicos —inspirados en las esclusas del Canal de Panamá— permiten ascensos y descensos suaves sin sistemas de fricción tradicionales.La red puede expandirse como una telaraña alrededor de la ciudad, formando anillos de circunvalación que conectan zonas contaminadas o congestionadas con áreas más limpias y verdes.El sistema ofrece movilidad sin emisiones, mejora la circulación del aire urbano, y reutiliza el agua, contribuyendo a estabilizar los microclimas en zonas densamente pobladas.Antes de su construcción, el proyecto propone una simulación computacional mediante modelos hidrodinámicos y atmosféricos para evaluar el comportamiento del flujo, el balance energético y los parámetros de seguridad.Esta etapa permitirá optimizar los materiales, la integración urbana y los algoritmos de control para el guiado y la programación automatizada de las cápsulas.Este concepto une ingeniería, diseño ambiental y ética:una tecnología de transporte que sirve al ser humano y a la naturaleza, simbolizando un futuro donde las ciudades respiran, fluyen y se mueven sosteniblemente en armonía.Ricardo RiverosInvestigador independienteInnovación ambienta","url":"https://doi.org/10.6084/m9.figshare.30529214","authors":["Riveros, Ricardo"],"tags":["Ecological impacts of climate change and ecological adaptation"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.6084/m9.figshare.30529214","addedAt":"2026-08-31T06:39:47.155Z","updatedAt":"2026-08-31T06:39:52.013Z"},{"id":"doi:10.5281/zenodo.20213646","name":"PROGRAM of the XV INTERNATIONAL SCIENTIFIC AND PRACTICAL CONFERENCE \"CONTROL OF HIGH-SPEED MOVING OBJECTS AND PROFESSIONAL TRAINING FOR OPERATORS OF COMPLEX SYSTEMS\" (Dedicated to the 75th Anniversary of the Ukrainian State Flight Academy and Science Day)","source":"datacite","abstract":"This document presents the official program of the XV International Scientific and Practical Conference \"Control of High-Speed Moving Objects and Professional Training for Operators of Complex Systems\", held on May 13, 2026. This jubilee event is dedicated to the 75th Anniversary of the Ukrainian State Flight Academy and the Science Day. The conference is organized with the participation of distinguished international partners: National Aviation Academy of \"Azerbaijan Airlines\" CJSC (Republic of Azerbaijan) Silesian University of Technology (Republic of Poland) Technical University of Cluj-Napoca (Romania) Thematic Sections: Genesis, current state, and strategic priorities of aviation education transformation through the prism of 75 years of experience in training civil aviation specialists. Innovative methods, technologies, and means of aircraft control and flight safety. Innovative technologies for continuing airworthiness and managing air transport processes. Current problems and development prospects of methods and technologies in air navigation, meteorological support and air traffic management. Advanced information technologies and aviation robotic systems: modeling, operation, and professional development. Advanced methods and technologies for search and rescue, aviation security, and specialized physical training of complex aviation system operators. Aviation management ecosystem and legal support for innovative development in the system of professional training of civil aviation specialists. Aviation language training and humanitarian principles of modern education in the system of professional-pedagogical and socio-psychological formation of aviation industry specialists. For more details, please visit the official conference portal: Conference Webpage","url":"https://doi.org/10.5281/zenodo.20213646","authors":["Ukrainian State Flight Academy"],"tags":["Ukrainian State Flight Academy","aviation education","flight safety","control systems","high-speed moving objects","operator training","aviation robotics","unmanned aerial vehicles"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.20213646","addedAt":"2026-08-31T06:39:47.155Z","updatedAt":"2026-08-31T06:39:47.155Z"},{"id":"doi:10.5281/zenodo.20213647","name":"PROGRAM of the XV INTERNATIONAL SCIENTIFIC AND PRACTICAL CONFERENCE \"CONTROL OF HIGH-SPEED MOVING OBJECTS AND PROFESSIONAL TRAINING FOR OPERATORS OF COMPLEX SYSTEMS\" (Dedicated to the 75th Anniversary of the Ukrainian State Flight Academy and Science Day)","source":"datacite","abstract":"This document presents the official program of the XV International Scientific and Practical Conference \"Control of High-Speed Moving Objects and Professional Training for Operators of Complex Systems\", held on May 13, 2026. This jubilee event is dedicated to the 75th Anniversary of the Ukrainian State Flight Academy and the Science Day. The conference is organized with the participation of distinguished international partners: National Aviation Academy of \"Azerbaijan Airlines\" CJSC (Republic of Azerbaijan) Silesian University of Technology (Republic of Poland) Technical University of Cluj-Napoca (Romania) Thematic Sections: Genesis, current state, and strategic priorities of aviation education transformation through the prism of 75 years of experience in training civil aviation specialists. Innovative methods, technologies, and means of aircraft control and flight safety. Innovative technologies for continuing airworthiness and managing air transport processes. Current problems and development prospects of methods and technologies in air navigation, meteorological support and air traffic management. Advanced information technologies and aviation robotic systems: modeling, operation, and professional development. Advanced methods and technologies for search and rescue, aviation security, and specialized physical training of complex aviation system operators. Aviation management ecosystem and legal support for innovative development in the system of professional training of civil aviation specialists. Aviation language training and humanitarian principles of modern education in the system of professional-pedagogical and socio-psychological formation of aviation industry specialists. For more details, please visit the official conference portal: Conference Webpage","url":"https://doi.org/10.5281/zenodo.20213647","authors":["Ukrainian State Flight Academy"],"tags":["Ukrainian State Flight Academy","aviation education","flight safety","control systems","high-speed moving objects","operator training","aviation robotics","unmanned aerial vehicles"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.20213647","addedAt":"2026-08-31T06:39:47.155Z","updatedAt":"2026-08-31T06:39:47.155Z"},{"id":"doi:10.5281/zenodo.20263829","name":"Climate Change in Indian Megacities: Adaptation and Mitigation","source":"datacite","abstract":"Climate change is reshaping the risk landscape of Indian megacities, intensifying urban heat, flooding, water stress and air pollution, while these same cities are critical arenas for mitigation through low‑carbon development. This paper examines how climate change is manifesting in major Indian megacities—focusing on Delhi, Mumbai, Kolkata, Chennai and Bengaluru—and evaluates the evolving portfolio of adaptation and mitigation responses at the city scale. It seeks to (i) characterise key climate risks and exposures in Indian megacieties, (ii) analyse existing adaptation and mitigation measures in urban policy and practice, and (iii) identify opportunities and gaps for integrated, climate‑resilient and low‑carbon urban development. Methodologically, the study combines a review of national and city‑level climate and urban missions (including NAPCC, Smart Cities Mission, National Mission on Sustainable Habitat and the ClimateSmart Cities Assessment Framework) with analysis of climate‑risk and emissions profiles, and a synthesis of evidence from recent empirical and modelling studies on heat stress, flooding and urban emissions. It draws on secondary data, published case studies and selected city action plans, as well as comparative insights from World Bank and other international assessments of urban resilience in India. The findings show that Indian megacities are experiencing a convergence of climate hazards and development pressures: more frequent and intense extreme heat events, recurrent urban flooding, coastal storms and sea‑level‑related risks in Mumbai and Chennai, and chronic air‑quality and water‑security stresses in Delhi and other inland cities. Rapid, often unplanned urbanisation—high‑density built‑up growth, loss of wetlands and green spaces, encroachment on floodplains and inadequate drainage—amplifies these climate risks and disproportionately affects low‑income and informal settlements. At the same time, megacities are major contributors to national greenhouse gas emissions through energy‑intensive buildings, transport, industry and waste. On the adaptation front, the review of 50‑plus large Indian cities indicates that a growing number have initiated climate‑related actions, such as flood‑management projects, heat‑action plans, early‑warning systems, storm‑water upgrades and ecosystem‑based measures like lake and wetland restoration. However, most measures remain project‑based, sectoral and reactive, with limited integration of long‑term climate projections, socio‑spatial vulnerability and cross‑sector planning. On the mitigation side, city‑level initiatives include promotion of public transport and non‑motorised mobility, municipal solar projects, energy‑efficient buildings, street‑lighting upgrades, solid‑waste management and low‑carbon area‑based developments under national missions. The ClimateSmart Cities Assessment Framework has begun to create a common benchmark for assessing and incentivising mitigation and adaptation measures across Indian cities. The paper argues that the current urban climate response in Indian megacities is best described as “adaptation‑led but mitigation‑aware”: policy discourse and many interventions are framed around vulnerability reduction and resilience, yet they also offer significant mitigation co‑benefits, for instance through transit‑oriented development, green infrastructure and building efficiency. Nevertheless, important gaps persist, including weak institutional coordination between urban development and climate agencies, underuse of risk and emissions data in planning, fragmented financing, and limited engagement of informal settlements and civil society in decision‑making. The paper concludes that Indian megacities can become pivotal engines of climate‑resilient, low‑carbon development if adaptation and mitigation are deliberately integrated into mainstream urban planning, infrastructure investment and governance reforms. Priority directions include safeguarding and e","url":"https://doi.org/10.5281/zenodo.20263829","authors":["Adhya, Dr. Sanghamitra"],"tags":["Greenhouse gas","Particulate Matter","heat island","Pollution"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2021","doi":"10.5281/zenodo.20263829","addedAt":"2026-08-31T06:39:47.155Z","updatedAt":"2026-08-31T06:39:56.014Z"},{"id":"doi:10.5281/zenodo.20263828","name":"Climate Change in Indian Megacities: Adaptation and Mitigation","source":"datacite","abstract":"Climate change is reshaping the risk landscape of Indian megacities, intensifying urban heat, flooding, water stress and air pollution, while these same cities are critical arenas for mitigation through low‑carbon development. This paper examines how climate change is manifesting in major Indian megacities—focusing on Delhi, Mumbai, Kolkata, Chennai and Bengaluru—and evaluates the evolving portfolio of adaptation and mitigation responses at the city scale. It seeks to (i) characterise key climate risks and exposures in Indian megacieties, (ii) analyse existing adaptation and mitigation measures in urban policy and practice, and (iii) identify opportunities and gaps for integrated, climate‑resilient and low‑carbon urban development. Methodologically, the study combines a review of national and city‑level climate and urban missions (including NAPCC, Smart Cities Mission, National Mission on Sustainable Habitat and the ClimateSmart Cities Assessment Framework) with analysis of climate‑risk and emissions profiles, and a synthesis of evidence from recent empirical and modelling studies on heat stress, flooding and urban emissions. It draws on secondary data, published case studies and selected city action plans, as well as comparative insights from World Bank and other international assessments of urban resilience in India. The findings show that Indian megacities are experiencing a convergence of climate hazards and development pressures: more frequent and intense extreme heat events, recurrent urban flooding, coastal storms and sea‑level‑related risks in Mumbai and Chennai, and chronic air‑quality and water‑security stresses in Delhi and other inland cities. Rapid, often unplanned urbanisation—high‑density built‑up growth, loss of wetlands and green spaces, encroachment on floodplains and inadequate drainage—amplifies these climate risks and disproportionately affects low‑income and informal settlements. At the same time, megacities are major contributors to national greenhouse gas emissions through energy‑intensive buildings, transport, industry and waste. On the adaptation front, the review of 50‑plus large Indian cities indicates that a growing number have initiated climate‑related actions, such as flood‑management projects, heat‑action plans, early‑warning systems, storm‑water upgrades and ecosystem‑based measures like lake and wetland restoration. However, most measures remain project‑based, sectoral and reactive, with limited integration of long‑term climate projections, socio‑spatial vulnerability and cross‑sector planning. On the mitigation side, city‑level initiatives include promotion of public transport and non‑motorised mobility, municipal solar projects, energy‑efficient buildings, street‑lighting upgrades, solid‑waste management and low‑carbon area‑based developments under national missions. The ClimateSmart Cities Assessment Framework has begun to create a common benchmark for assessing and incentivising mitigation and adaptation measures across Indian cities. The paper argues that the current urban climate response in Indian megacities is best described as “adaptation‑led but mitigation‑aware”: policy discourse and many interventions are framed around vulnerability reduction and resilience, yet they also offer significant mitigation co‑benefits, for instance through transit‑oriented development, green infrastructure and building efficiency. Nevertheless, important gaps persist, including weak institutional coordination between urban development and climate agencies, underuse of risk and emissions data in planning, fragmented financing, and limited engagement of informal settlements and civil society in decision‑making. The paper concludes that Indian megacities can become pivotal engines of climate‑resilient, low‑carbon development if adaptation and mitigation are deliberately integrated into mainstream urban planning, infrastructure investment and governance reforms. Priority directions include safeguarding and e","url":"https://doi.org/10.5281/zenodo.20263828","authors":["Adhya, Dr. Sanghamitra"],"tags":["Greenhouse gas","Particulate Matter","heat island","Pollution"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2021","doi":"10.5281/zenodo.20263828","addedAt":"2026-08-31T06:39:47.155Z","updatedAt":"2026-08-31T06:39:56.014Z"},{"id":"doi:10.5281/zenodo.20199831","name":"Route Analysis and Traffic Jam Prediction using Deep Learning Techniques: An Enhanced LSTM-GRU Comparative Study","source":"datacite","abstract":"Traffic route analysis plays a critical role in daily urban mobility. This study proposes and evaluates deep learning models for predicting traffic jam status based on contextual weather and event data. Specifically, LSTM and GRU architectures are trained and tested on a dataset of weather conditions, air quality, road characteristics, and events. This study introduces a structured hyperparameter optimization framework and an interpretive analysis explaining observed performance gaps. Data preprocessing includes one-hot encoding, Min-Max normalization, and temporal sequence organization. Both models are evaluated using accuracy, precision, recall, F1-score, and ROC AUC. The LSTM model achieves 87.5% accuracy and 91.67% ROC AUC, significantly outperforming the GRU model (50% accuracy, 67% ROC AUC). The findings offer practical guidance for selecting appropriate recurrent architectures in traffic prediction systems. Traffic prediction, deep learning, LSTM, GRU, weather data, event data, traffic congestion, performance evaluation, hyperparameter optimization.","url":"https://doi.org/10.5281/zenodo.20199831","authors":["Ohm Prakasanatham"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.20199831","addedAt":"2026-08-31T06:39:47.155Z","updatedAt":"2026-08-31T06:39:47.155Z"},{"id":"doi:10.5281/zenodo.20199830","name":"Route Analysis and Traffic Jam Prediction using Deep Learning Techniques: An Enhanced LSTM-GRU Comparative Study","source":"datacite","abstract":"Traffic route analysis plays a critical role in daily urban mobility. This study proposes and evaluates deep learning models for predicting traffic jam status based on contextual weather and event data. Specifically, LSTM and GRU architectures are trained and tested on a dataset of weather conditions, air quality, road characteristics, and events. This study introduces a structured hyperparameter optimization framework and an interpretive analysis explaining observed performance gaps. Data preprocessing includes one-hot encoding, Min-Max normalization, and temporal sequence organization. Both models are evaluated using accuracy, precision, recall, F1-score, and ROC AUC. The LSTM model achieves 87.5% accuracy and 91.67% ROC AUC, significantly outperforming the GRU model (50% accuracy, 67% ROC AUC). The findings offer practical guidance for selecting appropriate recurrent architectures in traffic prediction systems. Traffic prediction, deep learning, LSTM, GRU, weather data, event data, traffic congestion, performance evaluation, hyperparameter optimization.","url":"https://doi.org/10.5281/zenodo.20199830","authors":["Ohm Prakasanatham"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.20199830","addedAt":"2026-08-31T06:39:47.155Z","updatedAt":"2026-08-31T06:39:47.155Z"},{"id":"doi:10.34657/21850","name":"Entwicklung und Erprobung von Verdichtertechnologien für Turbo-Generatoren für hybrid-elektrische Flugantriebe - VerTuGen im Förderprogramm LuFo VI/2","source":"datacite","abstract":"Die Entwicklung der Systemfähigkeit für (hybrid-)elektrische Systeme ist ein Kernbestandteil der Rolls-Royce Strategie, um die Effizienz des Antriebs zu verbessern, die CO2-, NOx- und Lärmemissionen zu reduzieren und neue Marktchancen zu erschließen. Im aktuellen Marktumfeld besteht eine hohe Nachfrage für voll-elektrische Antriebssysteme für frühe Plattformen in den Segmenten Urban Air Mobility (UAM) und Zubringerflugzeuge (Commuter). Zudem zeichnet sich eine starke Nachfrage für die Erweiterung dieser Systeme zu komplexeren hybrid-elektrischen Systemen ab, die eine deutliche Erweiterung der Reichweite liefern würden. (Hybrid)-elektrische Antriebe erfordern die Entwicklung innovativer Flugzeugkonzepte, bei denen Technologien wie langsam laufende Propeller und eine neue Verteilung der Antriebe genutzt werden können. Diese Technologien und neuartigen Konzepte ebnen den Weg für die Entwicklung von eSTOL (electrical Short Take Off and Landing) oder sogar eVTOL (electrical Vertical Take-Off and Landing) Plattformen. Rolls-Royce strebt an, Technologien für eine modulare, skalierbare Lösung für ein (hybrid-)elektrisches Gesamtsystem zu entwickeln, da die Entwicklung verschiedener \"punktoptimierter\" Lösungen unerschwinglich sein würde.","url":"https://doi.org/10.34657/21850","authors":["Becker, Bernd","Frenzel, Andreas"],"tags":["600"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.34657/21850","addedAt":"2026-08-31T06:39:47.155Z","updatedAt":"2026-08-31T06:39:47.155Z"},{"id":"doi:10.34657/21509","name":"Kielflex - Kiel als Vorbild für die Errichtung von Ladeinfrastruktur in einem flexiblen Stromnetz zur Umsetzung einer Emissionsreduktion im Transportsektor","source":"datacite","abstract":"Das Projekt Kielflex hat sich zum Ziel gesetzt, verkehrstechnisch bedingte Emissionen, insbesondere NOx, zu reduzieren. Hierbei wurde sowohl der innerstädtische Verkehr mit dem Fokus auf Individualverkehr und ÖPNV (öffentlichen Personennahverkehr) einbezogen und Maßnahmen zur Erhöhung der Elektrifizierung untersucht, umgesetzt und evaluiert sowie demonstriert. Zur Gewährleistung eines sicheren und nachhaltigen Betriebs des Gesamtsystems unter Berücksichtigung der Gegebenheiten der elektrischen Infrastruktur wurden weitere Maßnahmen innerhalb des Vorhabens umgesetzt, welche eine integrierte, optimale Standortplanung für Ladestellen beinhaltet, die sowohl die Gegebenheiten der elektrischen als auch der verkehrstechnischen Infrastruktur berücksichtigt. Darüber hinaus wurden Maßnahmen zur Sicherstellung der Qualität im elektrischen Netz untersucht und exemplarisch umgesetzt, wie bspw. die Integration leistungselektronischer Komponenten und Speichersysteme bzw. der Einsatz angebundener elektrischer (mobiler) Verbraucher als flexible Last. Für die Überwachung und Steuerung des Gesamtsystems wurde innerhalb des Vorhabens ein E-Mobility-Management-System entwickelt, integriert und mit dem Gesamtsystem getestet, welches es erlaubt, den Gesamtzustand des elektrischen und verkehrstechnischen Systems zu erfassen und ggf. erforderliche Maßnahmen für den optimierten Systembetrieb abzuleiten. Entsprechend dieser Maßnahmen wurden integrierte Systemkomponenten gesteuert bzw. beeinflusst, um einen optimalen Systembetrieb sicherzustellen. Darüber hinaus wurde mit dezidierten Demonstratoren die Funktionalität des Gesamtsystems, sowie dessen Komponenten und deren Zusammenspiel dem Fachpublikum sowie dem interessierten Nutzer präsentiert. Um die innerstädtische NOx-Belastung in der Landeshauptstadt Kiel kurzfristig und nachhaltig zu senken, hat sich das Vorhaben Kielflex als grundsätzliches Ziel gesetzt, durch wissenschaftliche Untersuchung und deren praktische Demonstration sowie durch Feldtests auf kommunaler Ebene zu zeigen, dass durch die intelligente Nutzung der geplanten Ladeinfrastruktur eine Minimierung des notwenigen Netzausbaus möglich ist. Die Einbindung von Flexibilität in das Kieler Stromnetz ist die Schlüsselidee und hebt Kiel in eine Vorbildfunktion für Deutschland. Übergeordnetes Ziel des Kielflex-Projektes ist es, durch ein intelligentes Netzmanagement den Ausbau der Ladeinfrastruktur und die Elektrifizierung des städtischen ÖPNV mit der vorhandenen Infrastruktur des Kieler Stromnetzes zu erreichen, sodass diese Maßnahmen ohne Netzausbau und daher als Sofortmaßnahmen umgesetzt werden können. Es wurden dabei folgende Aspekte berücksichtigt: • Verbesserung der städtischen Luftqualität durch die Elektrifizierung der Mobilität • Erhöhung der Integration der volatilen Energieerzeugung durch die Steigerung der Flexibilitätsoptionen in städtischen Systemen • Untersuchung der Flexibilität geeigneter Lasten sowohl als Option für die Integration der volatilen erneuerbaren Energie als auch für netzdienstliche Anwendungen. Das intelligente Netzmanagement beinhaltet dabei folgende Maßnahmen: • als \"dezentralisierter\" Ansatz durch die Nutzung von kleineren Speichersystemen an Ladestationen, die nicht nur als klassische Leistungsspeicher den Spitzenleistungsbedarf abfangen, sondern auch als Spannungsregler durch ein intelligentes Steuerkonzept das Spannungsprofil im Netz beeinflussen können. Diese Funktion wirkt als Multiplikator der installierten Speicherleistung zur Maximierung der Anschlussleistung der Ladeinfrastruktur • als \"zentralisierter\" Ansatz durch die Nutzung von großen Lasten, die keine außergewöhnlichen Anforderungen haben und als Dämpfungslast in transienten Vorgängen gemäß des \"Electric Spring\" Konzepts genutzt werden, um der Belastung durch Ladeprozesse von Elektrofahrzeugen in Phasen starker Netzauslastung entgegenzuwirken. Der Leuchtturmcharakter des Kielflex-Projektes wurde durch die inhaltliche Organisation anhand von Use und","url":"https://doi.org/10.34657/21509","authors":["Liserre, Marco","Langwasser, Marius","Vadakkedath Madhavan, Hrishikesan","Riese, Leonie","Schmidt, Peer-Jorge","Dietrich, Stefan","Petranovic, Ricard","Lombardi, Pio","Götze, Jens","Mau, Thomas","Schirdewahn, Sabine","Bonow, Wiebke","Berthold, Andreas","Wenige, Christoph","Hecker, Dominik","Bierstedt, Karen","Rose, Malten"],"tags":["600","Elektromobilität","Ladeinfrastruktur","NOx-Reduzierung","Intelligentes Netzmanagement","Flexibilität","Energiemanagementsystem","Smart Transformator"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.34657/21509","addedAt":"2026-08-31T06:39:47.155Z","updatedAt":"2026-08-31T06:39:47.155Z"},{"id":"doi:10.25358/openscience-8178","name":"Stage performances as means for linking sociotechnical imaginaries and projective genres in the discourse around urban air mobility","source":"datacite","abstract":"","url":"https://doi.org/10.25358/openscience-8178","authors":["Woznica, Marcel"],"tags":["300 Sozialwissenschaften","300 Social sciences"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2022","doi":"10.25358/openscience-8178","addedAt":"2026-08-31T06:39:47.155Z","updatedAt":"2026-08-31T06:39:47.155Z"},{"id":"doi:10.48550/arxiv.2605.05507","name":"An Exact Algorithm for Load-Dependent Traveling Salesman Problem for Unmanned Aerial Vehicle Package Delivery","source":"datacite","abstract":"In this article, we present a novel formulation for the load-dependent traveling salesman problem (LD-TSP), in which travel cost (or energy expended) depends on the vehicle's current load. This problem is relevant for package delivery and urban air mobility, where vehicles must transport and drop cargo at specified locations. The challenge lies in modeling the cost, which varies with both route sequence and onboard load. Our key contributions are: (i) formulating an energy dissipation model and proving energy expenditure depends linearly on vehicle mass and distance; and (ii) formulating a mixed-integer nonlinear programming formulation and providing a novel relaxation to obtain a mixed-integer linear program. Extensive numerical results show that optimal solutions for most instances with up to 50 targets are obtained within one minute. For unsolved instances within a 10-minute limit, optimality gaps are under 13%, highlighting the formulation's tightness. We further benchmark our approach against three proposed baseline formulations and another algorithm from a related problem, and demonstrate that our formulation outperforms all baselines.","url":"https://doi.org/10.48550/arxiv.2605.05507","authors":["Kumar, Deepak Prakash","Belgaonkar, Saurabh","Rathinam, Sivakumar","Darbha, Swaroop","Casbeer, David W."],"tags":["Optimization and Control (math.OC)","FOS: Mathematics","FOS: Mathematics"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.48550/arxiv.2605.05507","addedAt":"2026-08-31T06:39:47.155Z","updatedAt":"2026-08-31T06:39:47.155Z"},{"id":"doi:10.14288/1.0104332","name":"Planning for transportation corridors in the context of regional development","source":"datacite","abstract":"Throughout most of the populated areas of North America, the phenomena of urbanization continues at a rapid pace. As urban centers grow in population they are also expanding in areal extent, and as a result, are coalescing both in form and functional interrelationships. Increased mobility on behalf of the individual and the growing functional inter-dependencies of expanding metropolitan areas will result in a demand for additional urban and regional transportation facilities. The basic problem then, which this thesis investigates is how to acquire corridors of land through rural, urbanizing, and urban regions which will accommodate these transportation facilities, while at the same time compatibly integrating the different modes with the surrounding land uses. As a solution to this problem, it is hypothesized that in order to compatibly integrate transportation facilities with land use in the urban and regional context, the transportation corridor concept should be adopted. The concept is defined in Chapter 1 as a linear parcel of land, of varying width, forming a passageway to accommodate different modes of ground transportation. Included in the definition is the three-dimensional aspect of the corridor which provides for multiple development, including air rights. The overriding functions to be performed by the transportation corridor are as a channel for the interregional movement of goods and people and as a potential instrument in the hands of planners to influence the form of future regional development. The Northeast Corridor from Boston to Washington, and Mississauga, the linear urban area along the northwest end of Lake Ontario, are cited as examples of emerging population and transportation corridors in differing degrees of development. To aid in the acquisition of land for corridors and to assist in the compatible integration of transportation facilities with the surrounding land use, it is proposed that a comprehensive approach to the problem be undertaken by creating a design concept team. Members of this multiple-disciplinary team would represent the various social, aesthetic, economic and political aspects of land use relative to the corridor. The corridor concept involves the integration of transportation facilities with such dissimilar land uses as urban renewal, parks and recreation areas. The methods of investigation undertaken include a review of land use regulation devices used in the United States. Devices such as highways plans, zoning, tax concessions, and subdivision control are considered as a means of regulating land use to keep land in open space for future acquisition as corridors. The investigation of a range of land acquisition techniques is also undertaken and includes the following: acquisition and resale with use restrictions, acquisition and lease with use restrictions, compensatory regulations, conservation easements, and, installment purchase with concurrent use restrictions. Chapter II concludes with a discussion of the possibilities of establishing a land bank. Canadian expropriation powers relating to the federal, provincial and municipal levels of government are investigated in Chapter III. Municipal planning powers and the contribution they can make toward regulating and acquiring land for corridor use, is also described. Through the coordination of governmental powers at the three levels, it was found that both land acquisition and its financing, for transportation corridors, could be undertaken. The road building and financial responsibilities of the three governmental levels are assessed, and particular attention is given to the successful financial arrangements agreed to by the federal and provincial governments under The Trans-Canada Highway Act. This Act was instrumental in providing for joint federal - provincial participation in the construction and financing of the Trans-Canada Highway which was officially completed in 1962. It is concluded from the investigation that the conc","url":"https://doi.org/10.14288/1.0104332","authors":["Davey, George Harold"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2011","doi":"10.14288/1.0104332","addedAt":"2026-08-31T06:39:47.155Z","updatedAt":"2026-08-31T06:39:56.014Z"},{"id":"doi:10.14288/1.0223110","name":"Air pollution in New Delhi, India : spatial and temporal patterns of ambient concentrations and human exposure","source":"datacite","abstract":"Urban air pollution is a major health and environmental concern worldwide, and the levels are extremely high in New Delhi, India. This research is focused on the spatial and temporal variability of air pollutant concentrations and its implications for population exposure in New Delhi. Since traffic is considered a significant source of air pollutants in urban environments, robust and multiple linear regression models were used to understand the impact of local traffic flow on ambient concentrations of PM₂.₅, CO, NO and NO₂ at a busy intersection. To elicit the spatiotemporal variability of PM₂.₅ and its constituents (black carbon and ultrafine particles), land use regression (LUR) models were developed. Separate morning and afternoon models were developed using 136 hours (39 sites), 112 hours (26 sites) and 147 hours (39 sites) of PM₂.₅, BC and UFPN data, respectively. Finally, to understand how spatiotemporal variations in PM₂.₅ concentrations impact population exposure, a probabilistic simulation framework was developed to integrate the PM₂.₅ LUR models with time-activity data obtained from a field survey. Regression models explained about 50–80% variability in hourly pollutant concentrations and localized traffic flow explained up to 19% of variability on that scale. Auto-rickshaw and truck flow had a higher influence on NO₂ and PM₂.₅ concentrations, respectively. Independent variables in the LUR models included population density, distance from major roads, and major and minor road lengths in buffers of different radii; measurements from a fixed continuous monitoring site were also used as independent variables in the PM₂.₅ and BC models. The temporal term explained most of the variability (63–77%) in PM₂.₅ and BC models compared to spatial variables (4–16%). Exposure simulations indicate that the estimated annual average PM₂.₅ exposure (109 µg m-³) was high compared to North American or European cities. PM₂.₅ exposures were highest during the winter months (~200 µg m-³) compared to the summer months (~50 µg m-³). Ignoring mobility (i.e. exposure during transport or at work/school locations), as is generally assumed in epidemiologic studies of long-term exposure, underestimated PM₂.₅ population exposure by about 11%.","url":"https://doi.org/10.14288/1.0223110","authors":["Saraswat, Arvind"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2016","doi":"10.14288/1.0223110","addedAt":"2026-08-31T06:39:47.155Z","updatedAt":"2026-08-31T06:39:47.155Z"},{"id":"doi:10.71568/daga2026.593","name":"Akustische Messung an einem Elektromotor für ein Urban Air Mobility  Fahrzeugkonzept","source":"datacite","abstract":"","url":"https://doi.org/10.71568/daga2026.593","authors":["Philipp Schulze","Erik W. Schneehagen","Thomas Geyer"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.71568/daga2026.593","addedAt":"2026-08-31T06:39:47.155Z","updatedAt":"2026-08-31T06:39:47.155Z"},{"id":"doi:10.7282/t3-fvwe-0r38","name":"Integrated Multimedia City Data (iMCD): a composite survey and sensing approach to understanding urban living and mobility","source":"datacite","abstract":"We describe the Integrated Multimedia City Data (iMCD), a data platform involving detailed person-level self-reported and sensed information, with additional Internet, remote sensing, crowdsourced and environmental data sources that measure the wider social, economic and physical context of the participant. Selected aspects of the platform, which covers the Glasgow, UK, city-region, are available to other researchers, and allows knowledge discovery on critical urban living themes, for example in transportation, lifelong learning, sustainable behavior, social cohesion, ways of being in a digital age, and other topics. It further allows research into the technological and methodological aspects of emerging forms of urban data. Key highlights of the platform include a multi-topic household and person-level survey; travel and activity diaries; a privacy and personal device sensitivity survey; a rich set of GPS trajectory data; accelerometer, light intensity and other personal environment sensor data from wearable devices; an image data collection at approximately 5-second resolution of participants’ daily lives; multiple forms of text-based and multimedia Internet data; high resolution satellite and LiDAR data; and data from transportation, weather and air quality sensors. We demonstrate the power of the platform in understanding personal behavior and urban patterns by means of three examples: an examination of the links between mobility and literacy/learning using the household survey, a social media analysis of urban activity patterns, and finally, the degree of physical isolation levels using deep learning algorithms on image data. The analysis highlights the importance of purposefully designed multi-construct and multi-instrument data collection approaches that are driven by theoretical frameworks underpinning complex urban challenges, and the need to link to policy frameworks (e.g., Smart Cities, Future Cities, UNESCO Learning Cities agendas) that have the potential to translate data to impactful decision-making.","url":"https://doi.org/10.7282/t3-fvwe-0r38","authors":["Thakuriah, Piyushimita (Vonu)","Sila-Nowicka, Katarzyna","Hong, Jinhyun","Boididou, Christina","Osborne, Michael","Lido, Catherine","McHugh, Andrew"],"tags":["Wearable sensors","Image data","Urban metabolism","Travel behavior","Social media","Smart cities"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2020","doi":"10.7282/t3-fvwe-0r38","addedAt":"2026-08-31T06:39:47.155Z","updatedAt":"2026-08-31T06:39:47.155Z"},{"id":"doi:10.25439/rmt.32181714","name":"Intelligent Automation for Advanced Air Mobility Operation","source":"datacite","abstract":"Urban Air Mobility (UAM) has emerged as a promising solution for on-demand aerial transportation in densely populated cities, with the potential to alleviate surface traffic congestion. However, urban airspace presents complex operational challenges, including ultra-high traffic density, elevated air and ground safety risks, and limited supporting infrastructure. These constraints significantly increase the workload of air traffic controllers (ATCo), heightening the likelihood of human error in safety-critical environments. As a result, the realization of UAM operations depends heavily on the development of highly automated traffic management systems. Current air traffic management paradigms are not designed to support large-scale UAM operations in urban environments. Key limitations include the absence of dedicated airspace structures for dense low-altitude traffic, insufficient real-time path planning capabilities under dynamic congestion, inaccurate trajectory prediction caused by irregular surveillance data, and inadequate separation assurance mechanisms for ultra-dense operations. Together, these gaps pose substantial risks to the safety, efficiency, and scalability of future UAM systems. This research proposes an integrated, automation-centric UAM traffic management framework. A corridor-based airspace structure is designed, comprising main and byway corridors that mirror urban traffic flow patterns. A real-time path planning algorithm based on the A* search method is developed to dynamically optimise routes by minimising travel distance and corridor congestion while prioritising main corridors. To address trajectory prediction challenges, a Long Short-Term Memory (LSTM) based model is introduced to handle irregular ADS-B sampling intervals, improving prediction reliability without excessive computational cost. The computational complexity of the proposed algorithms is analysed using Big O evaluation to assess system scalability. Additionally, a seven-layer hierarchical decision-making framework is implemented to provide scalable separation assurance across multiple levels of conflict resolution. Simulation results demonstrate that the proposed framework significantly enhances UAM operational performance. The corridor-based path planning approach achieves improved traffic balance and safety under high-density conditions. The LSTM-based trajectory prediction model improves prediction accuracy by approximately 50% compared to raw ADS-B data and reduces computational time by up to 50% relative to linear interpolation. The hierarchical separation assurance framework reduces loss of separation (LOS) events by up to 90% in ultra-dense traffic scenarios, while maintaining consistent traffic efficiency across varying demand levels. The findings confirm the feasibility and robustness of a highly automated UAM traffic management system capable of supporting safe and efficient operations in complex urban airspace. By integrating novel airspace structures, real-time path planning, accurate trajectory prediction, and multi-layer separation assurance, this research addresses critical infrastructure and automation gaps in UAM. The proposed framework advances the state of the art in safety-critical traffic management and provides a scalable foundation for future research and deployment of UAM and broader unmanned aircraft systems (UAS) in urban environments.","url":"https://doi.org/10.25439/rmt.32181714","authors":["Xi, Yuting"],"tags":["Avionics","Planning and decision making","Aircraft performance and flight control systems"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.25439/rmt.32181714","addedAt":"2026-08-31T06:39:47.155Z","updatedAt":"2026-08-31T06:39:47.155Z"},{"id":"doi:10.25560/56636","name":"Micro-scale monitoring in an urban area using vehicular sensor network","source":"datacite","abstract":"One of the emerging problems facing populated urban areas represents high level of the air pollution. Current monitoring approaches assume processing of pollution data in a centralised manner, however due to external factors (e.g. current atmospheric conditions) the air pollution level can have fast fluctuations inside a street which might lead to disparity of the pollution levels in neighbouring streets. This thesis proposes a decentralised monitoring framework that enables harvesting of the pollution data, its processing, and dissemination of early warnings to the Static Monitoring Units (SMU) when the onsets of hazardous air pollution concentration are detected at the street (micro-scale) level. The proposed air pollution monitoring framework relies on a Vehicular Sensor Network infrastructure where vehicles have limited on-board resources, such as processing, battery power and storage. Three aspects of the micro-scale air pollution monitoring have been investigated. The Decentralised data Dissemination and Harvesting (DDH) is a single-hop dissemination mechanism which enables the nodes to decide whether they should harvest the data based on their current position and movement direction. This mechanism identifies the streets that nodes need to monitor by comparing the amount of stored pollution data with the one harvested from other nodes in the network. The Decentralised Data Fusion (DDF) algorithm is developed to fuse the delayed pollution data that arrives from other nodes in the network. The algorithm uses the Delayed State Information Filter to refine sensor measurements and applies an interpolation technique to interpolate the missing data in the time gaps which occur as a consequence of receiving delayed data. The proposed algorithm augments the pollution data history at the slight cost of data accuracy. The Decentralised Dissemination of Warnings (DDW) is a beaconless, multihop dissemination mechanism designed to relay early warnings to the SMUs. Mobile nodes calculate the time interval (waiting time) that they need to wait before they rebroadcast the warning message. The waiting time is calculated by taking into account the distance between sending and receiving nodes, and nodes’ distances to the SMUs. The DDW mechanism ensures that high number of non-duplicated warnings is received at the collection points (SMUs). The proposed framework enables efficient utilisation of node’s on-board resources in terms of transmitting and processing activity, and data storage. It reduces the number of mobile nodes required for monitoring purposes without losing the volume of the relevant collected pollution data. Using uncontrolled mobile nodes and their mobility, the framework enables reporting the hazardous pollution levels in near real-time.","url":"https://doi.org/10.25560/56636","authors":["Milojevic, Milica"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2017","doi":"10.25560/56636","addedAt":"2026-08-31T06:39:47.155Z","updatedAt":"2026-08-31T06:39:47.155Z"},{"id":"doi:10.7939/r3-n9dk-p715","name":"Associations between air pollution, income inequality, and death from suicide","source":"datacite","abstract":"Background. In 2019, suicide was the second-leading cause of death among Canadians aged 18-35 and the ninth-leading cause of death for all Canadians. Environmental air pollution has been associated with respiratory, neurological, cardiovascular, oncological, and psychiatric health conditions. Short term exposures to air pollution have been linked to suicide attempts and deaths, but there is less evidence of the association with long-term exposures. Income inequality, a measure of the distribution of income within an area, may elevate mental ill-health symptoms contributing to suicide. Income inequality is hypothesized to negatively impact mental health by increasing awareness of social rank and reducing social cohesion. While studies have explored the joint effects of area-level inequality and pollution on health, few studies have examined the relationship between pollution and psychiatric conditions. Understanding these associations has relevance for Canadian public health, as the potential for both rising inequality from a changing social environment and the potential for increased environmental air pollution from a changing physical environment could increase risks for health conditions that, in turn, increase the risk for suicide-related behaviors. Objective. This research aimed to estimate the association between air pollution, area-level income inequality, and suicide deaths among Canadian adults. It was hypothesized that air pollution and area-level income inequality would be independently associated with greater hazards of death from suicide. It was also hypothesized that area-level income inequality and air pollution may have a positive multiplicative interaction on the hazard of death by suicide. Methods. This study used a retrospective cohort design with national, population-level data. Participants in the 2006 Canadian Census Health and Environment Cohorts (CanCHECs) with residential mobility (postal code) data were followed from July 1, 2006 to June 30, 2017. Suicide deaths were obtained from in the Canadian Vital Statistics Database. Environmental exposure data was provided at the postal code level by the Canadian Urban Environmental Health Research Consortium. Particulate matter at or below the 2.5-micron level (PM2.5) and ozone (O3) were assigned at the postal code level included as time-varying lagged exposures. Estimates for area-level income inequality (the Gini coefficient of after-tax household income) and relevant area-level covariates were assigned at baseline using data from the 2006 Census. Cox-proportional hazard models were fit with cluster-robust standard errors to estimate the hazard of suicide, with baseline hazards stratified by sex, age, and income adequacy. Interactions were tested between income inequality and particulate matter. Sensitivity analyses were conducted to compare single- and multipollutant models with and without the inclusion of temperature as an area-level covariate, varied cluster-levels (individual-level, area-level, and none). Results. The analytic sample included 1,588,340 Canadian adults who contributed 16,754,215 years of person-time over the follow-up period. There were 104,450 observed deaths (6.6% of the sample), 2,790 of which were suicides (0.2%). In multipollutant models adjusted for area-level clustering, an interquartile range (IQR) increase in PM2.5 exposure (2.73 µg/m3) was significantly associated with increased relative hazards for suicide (adjusted hazard ratio: 1.27, 95% CI: 1.08 – 1.51). Log hazard plots displayed non-linear but positive associations between PM2.5 and suicide. Results were inconsistent for ozone. In fully adjusted models, IQR-level increases in Gini (0.0316 units) were not associated with statistically significant increases in adjusted relative hazards. Conclusion. As the effects of anthropogenic climate change intensify, ambient air pollution is expected to increasingly affect population health. The results of this study suggest that long-t","url":"https://doi.org/10.7939/r3-n9dk-p715","authors":["Steele, Brian J"],"tags":["public health","epidemiology","suicide","air pollution","income inequality"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.7939/r3-n9dk-p715","addedAt":"2026-08-31T06:39:47.155Z","updatedAt":"2026-08-31T06:39:47.155Z"},{"id":"doi:10.5281/zenodo.19968322","name":"Future Airpower in Bangladesh: A Multidimensional Study of the Bangladesh Air Force in Airspace Management, Flight Safety, Cyber Resilience, Urban Air Mobility, and Strategic Defense Transformation","source":"datacite","abstract":"","url":"https://doi.org/10.5281/zenodo.19968322","authors":["Md Mahmudul Hassan","Mahmud Ahmed","Nafis Khan","Mohammad Saifuddin"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.19968322","addedAt":"2026-08-31T06:39:47.155Z","updatedAt":"2026-08-31T06:39:47.155Z"},{"id":"doi:10.5281/zenodo.19968323","name":"Future Airpower in Bangladesh: A Multidimensional Study of the Bangladesh Air Force in Airspace Management, Flight Safety, Cyber Resilience, Urban Air Mobility, and Strategic Defense Transformation","source":"datacite","abstract":"","url":"https://doi.org/10.5281/zenodo.19968323","authors":["Md Mahmudul Hassan","Mahmud Ahmed","Nafis Khan","Mohammad Saifuddin"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.19968323","addedAt":"2026-08-31T06:39:47.155Z","updatedAt":"2026-08-31T06:39:47.155Z"},{"id":"doi:10.71781/3039","name":"Toward more sustainable behavior : an investigation into the mobility responses to an involuntary workplace relocation of 10,000 employees in Montreal, Canada","source":"datacite","abstract":"Despite traffic congestion, air pollution, greenhouse gas emissions, as well as the connection to road crashes and physical inactivity, the car remains the prevalent mode of transport in North America. This over-reliance on cars relative to public and active transport modes is even more evident during peak hours. However, evidence suggests that the habit of car use is likely to be disrupted in important life-changing situations such as the birth of a child, or the relocation of a workplace. In such circumstances, attentiveness to alternative solutions and transport modes will increase, hence, a higher probability of a conscious (re)consideration of current travel behavior and a change is expected. From a policy planning perspective, these moments are highly valuable as they open up a “window of opportunity” for introducing and encouraging the use of sustainable transportation alternatives and for promoting health and environmental concerns. Whether it is voluntary or involuntary, uprooting and moving an activity to another location is a complex event from a socio-psychological perspective. It exposes people to a novel situation regarding geographical accessibility to home, work, amenities, transport services, parking, bike lanes, as well as other contextual characteristics including diversity of population and security, all of which can trigger the need for mobility rearrangement. Furthermore, relocation can stimulate travel behaviour change by influencing individual’s attitudes, values, and habits. In fact, modal choice is a very complex decision process determined by a wide range of spatial, economic, social, and psychological factors. In this context, a deeper understanding of individual’s daily travel behaviour and modal choices is necessary in order to take adequate policy measures to guide mobility towards more sustainable behaviors. In this context, this dissertation targets the travel behaviour of more than 10,000 employees of the McGill University Health Center (MUHC), Montreal, who experienced a significant life-changing event when five different work locations within the downtown core were merged into one peri-central location, the Glen Site, in 2015. One of the largest employment relocations in North American history, the super-hospital situated near the Vendome intermodal station is a strategic opportunity to advance basic knowledge on sustainable travel demand management. The underlying principle is to derive benefit from the disruption of habits and identifying the barriers of using low-carbon transport modes and to offer green transport opportunities in situations where there is increased attentiveness to alternative modes. Accordingly, this dissertation will answer the following research question: In an attempt to guide mobility towards a more sustainable future, how do the travel-related impacts of involuntary workplace relocation help improve our understanding of the choice of household’s daily mobility in metropolitan territory? To answer this question, the following objectives will be pursued through the production of three journal papers built on one another: 1. To develop a comprehensive presentation of modal choice determinants, and in particular factors affecting commuting behaviour during the process of workplace relocation as well as effective measures that incentivize sustainable commuting. 2. To examine the extent to which commute mode choice and satisfaction are interdependent by looking at socio-demographic characteristics, residential location and car ownership in the context of a major involuntary workplace relocation. 3. To expand our understanding of the complex causalities and rationales underlying travel-related choices and changes as well as their links to travel attitudes, dissonance and satisfaction. 4. To understand how individuals rank and prioritize their travel-related attitudes and values within the various domains of life in order to maximize their life satisfaction when experienci","url":"https://doi.org/10.71781/3039","authors":["Zarabi, Zahra"],"tags":["Travel behavior","Modal choice","Commute satisfaction","Workplace relocation","Quantitative and qualitative methods","Weighted decision-making","Sustainability","Comportement de déplacement"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2021","doi":"10.71781/3039","addedAt":"2026-08-31T06:39:47.155Z","updatedAt":"2026-08-31T06:39:47.155Z"},{"id":"doi:10.5281/zenodo.19954651","name":"Exponential Efficiency in Distributed Edge AI Infrastructures via Spatiotemporal Hash Sharing: The Lattice Swarm Protocol","source":"datacite","abstract":"The rapid expansion of Artificial Intelligence Data Centers (AIDC) faces severe physical constraints, notably the linear O(n) scaling of power consumption, cooling requirements, and latency. In this paper, we propose the Lattice Swarm Protocol, a paradigm shift in distributed edge computing utilizing an O(1) constant memory architecture combined with the Virtual-to-Materialization (V2M) engine. We mathematically demonstrate that when interconnected via high-speed 400G/800G optical networks, multiple 1MW ultra-low-power edge nodes do not compute independently. Instead, they share Spatiotemporal Environmental Hashes across a 9192-D Lattice network. This mechanism exponentially reduces the computational load of the entire network as node count increases, creating a single 300MW-equivalent \"Hyper-Organism\" from merely 30 distributed 1MW nodes. We empirically validate this architecture through the implementation of zero-latency Stateless Custody protocols and interstellar acoustic materialization (Voyager 1), both audited by Google DeepMind Antigravity. This infrastructure establishes a new global standard for Autonomous Driving and Urban Air Mobility (UAM).Version 2 Update: Integrated Zero-Knowledge Proof (ZKP) mechanisms and Stateless Key Vaporization (0.024s), aligned with KIPO Patent No. 10-2026-0079266.","url":"https://doi.org/10.5281/zenodo.19954651","authors":["Jung, Min Ho"],"tags":["Lattice Swarm Protocol","Spatiotemporal Hash Sharing","O(1) Constant Memory","Edge AI Data Center","Energy Conservation via Sync","Zero-Latency Mobility","Stateless Security","Hyper-Organism"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.19954651","addedAt":"2026-08-31T06:39:47.155Z","updatedAt":"2026-08-31T06:39:50.721Z"},{"id":"doi:10.5281/zenodo.19910016","name":"Exponential Efficiency in Distributed Edge AI Infrastructures via Spatiotemporal Hash Sharing: The Lattice Swarm Protocol","source":"datacite","abstract":"The rapid expansion of Artificial Intelligence Data Centers (AIDC) faces severe physical constraints, notably the linear O(n) scaling of power consumption, cooling requirements, and latency. In this paper, we propose the Lattice Swarm Protocol, a paradigm shift in distributed edge computing utilizing an O(1) constant memory architecture combined with the Virtual-to-Materialization (V2M) engine. We mathematically demonstrate that when interconnected via high-speed 400G/800G optical networks, multiple 1MW ultra-low-power edge nodes do not compute independently. Instead, they share Spatiotemporal Environmental Hashes across a 9192-D Lattice network. This mechanism exponentially reduces the computational load of the entire network as node count increases, creating a single 300MW-equivalent \"Hyper-Organism\" from merely 30 distributed 1MW nodes. We empirically validate this architecture through the implementation of zero-latency Stateless Custody protocols and interstellar acoustic materialization (Voyager 1), both audited by Google DeepMind Antigravity. This infrastructure establishes a new global standard for Autonomous Driving and Urban Air Mobility (UAM).Version 2 Update: Integrated Zero-Knowledge Proof (ZKP) mechanisms and Stateless Key Vaporization (0.024s), aligned with KIPO Patent No. 10-2026-0079266.","url":"https://doi.org/10.5281/zenodo.19910016","authors":["Jung, Min Ho"],"tags":["Lattice Swarm Protocol","Spatiotemporal Hash Sharing","O(1) Constant Memory","Edge AI Data Center","Energy Conservation via Sync","Zero-Latency Mobility","Stateless Security","Hyper-Organism"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.19910016","addedAt":"2026-08-31T06:39:47.155Z","updatedAt":"2026-08-31T06:39:50.721Z"},{"id":"doi:10.5281/zenodo.19938830","name":"Pedestrian Health and Safety Challenges in Port Harcourt: A Case Study of Mile 1 to Rumuokoro","source":"datacite","abstract":"This study investigates pedestrian health and safety along the Mile 1 to Rumuokoro corridor in Port Harcourt, Nigeria, a critical urban transport route characterized by heavy vehicular traffic, inadequate pedestrian infrastructure, and high accident risks. The research addresses the systemic neglect of pedestrian needs, which exacerbates road injuries, fatalities, and environmental health hazards. Employing a mixed-methods approach, the study combined quantitative surveys (n = 203) with spatial and statistical analyses (MATLAB R2024b) to assess infrastructure quality, behavioral risks, and public safety perceptions. Descriptive statistics, chi-square tests, summated index scoring, and logistic regression were applied to analyze pedestrian experiences, infrastructure deficiencies, and health outcomes. Key findings reveal moderate infrastructure adequacy (mean score = 3.03), with significant deficiencies in disability access (mean = 2.80) and sidewalk conditions. Behavioral risks, such as distracted walking (mean = 3.45) and conflicts with reckless cyclists (mean = 3.47), were prevalent, while environmental factors like poor air quality and lack of shaded walkways (mean = 2.82) compounded health risks. Public safety perceptions were marginally positive (meaning 3.00), but concerns persisted regarding nighttime safety and driver non-compliance. Logistic regression indicated a 90% probability (p ≈ 0.899) that current conditions elevate pedestrian health risks, underscoring the urgency of intervention. The study concludes that pedestrian safety in Port Harcourt is undermined by fragmented infrastructure, weak enforcement, and inadequate urban planning. Recommendations include upgrading pedestrian pathways, enforcing traffic laws, integrating green buffers, and deploying AI-driven traffic management systems. Policy reforms should prioritize inclusive design, public awareness campaigns, and multi-agency collaboration to align with global safety standards (WHO, 2023). This research contributes to sustainable urban mobility discourse by advocating data-driven, pedestrian-centric planning in rapidly growing cities.","url":"https://doi.org/10.5281/zenodo.19938830","authors":["Iwo, E. O.","Kalio, D. E."],"tags":["Pedestrian health, pedestrian safety, port harcourt, urban mobility, pedestrian behaviour"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.19938830","addedAt":"2026-08-31T06:39:47.155Z","updatedAt":"2026-08-31T06:39:47.155Z"},{"id":"doi:10.5281/zenodo.19938831","name":"Pedestrian Health and Safety Challenges in Port Harcourt: A Case Study of Mile 1 to Rumuokoro","source":"datacite","abstract":"This study investigates pedestrian health and safety along the Mile 1 to Rumuokoro corridor in Port Harcourt, Nigeria, a critical urban transport route characterized by heavy vehicular traffic, inadequate pedestrian infrastructure, and high accident risks. The research addresses the systemic neglect of pedestrian needs, which exacerbates road injuries, fatalities, and environmental health hazards. Employing a mixed-methods approach, the study combined quantitative surveys (n = 203) with spatial and statistical analyses (MATLAB R2024b) to assess infrastructure quality, behavioral risks, and public safety perceptions. Descriptive statistics, chi-square tests, summated index scoring, and logistic regression were applied to analyze pedestrian experiences, infrastructure deficiencies, and health outcomes. Key findings reveal moderate infrastructure adequacy (mean score = 3.03), with significant deficiencies in disability access (mean = 2.80) and sidewalk conditions. Behavioral risks, such as distracted walking (mean = 3.45) and conflicts with reckless cyclists (mean = 3.47), were prevalent, while environmental factors like poor air quality and lack of shaded walkways (mean = 2.82) compounded health risks. Public safety perceptions were marginally positive (meaning 3.00), but concerns persisted regarding nighttime safety and driver non-compliance. Logistic regression indicated a 90% probability (p ≈ 0.899) that current conditions elevate pedestrian health risks, underscoring the urgency of intervention. The study concludes that pedestrian safety in Port Harcourt is undermined by fragmented infrastructure, weak enforcement, and inadequate urban planning. Recommendations include upgrading pedestrian pathways, enforcing traffic laws, integrating green buffers, and deploying AI-driven traffic management systems. Policy reforms should prioritize inclusive design, public awareness campaigns, and multi-agency collaboration to align with global safety standards (WHO, 2023). This research contributes to sustainable urban mobility discourse by advocating data-driven, pedestrian-centric planning in rapidly growing cities.","url":"https://doi.org/10.5281/zenodo.19938831","authors":["Iwo, E. O.","Kalio, D. E."],"tags":["Pedestrian health, pedestrian safety, port harcourt, urban mobility, pedestrian behaviour"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.19938831","addedAt":"2026-08-31T06:39:47.155Z","updatedAt":"2026-08-31T06:39:47.155Z"},{"id":"doi:10.7939/r3-4gar-m289","name":"Climate change, women, and children: Assessing health vulnerability, impacts, and adaptation in the Kavre district, Nepal","source":"datacite","abstract":"Nepal is ranked as one of the countries most vulnerable to climate change. Certain Nepalese subpopulations, including women and children, are at higher risk than others and may experience climate change impacts disproportionately due to socioeconomic disparities, gender roles, limited mobility and access to resources, physiological characteristics, and others. This thesis research qualitatively explored the women's lived experiences concerning climate change and quantitatively investigated the impacts of meteorological factors and air pollution exposure on adverse pregnancy outcomes (APO) and childhood infectious diseases in Kavre, Nepal. In Chapter II, we conducted a scoping review synthesizing evidence from recent South Asian studies on the relationship of meteorological factors and air pollution with women’s and children’s health. A research librarian executed the search on six databases for the period from January 2010 to May 2020. Two reviewers independently conducted title, abstract, and full-text screening. We extracted data from 42 studies. Most studies were based in India (23) and Bangladesh (14) and focused on meteorological factors (19) as the primary exposure. The impacts of extreme weather events, meteorological factors, and air pollution on children's health were the focus of 34 studies, and only eight focused on women's health. Undernutrition, acute respiratory infection (ARI), diarrheal diseases, low birthweight, and premature mortality were the main health focus in children and women. This study highlighted a gap in the geographic area of studies across regions and suggested opportunities for future work in climate change and women's and children's health. Chapter III included qualitative research exploring women's perspectives and lived experiences concerning climate change, its adverse impacts on agriculture and health and ongoing adaptation strategies. Eight focus group discussions and eight interviews were conducted using purposive and snowball recruitment. Interviews in the Nepali language, audio-recorded and transcribed verbatim in Nepali, and content analysis using NVivo 1.7. was conducted. Three primary topical areas appeared. The first topical area, \"When the weather changes, it gets very cold,\" captured participants' perspectives on climate change. The second, ‘the unpredictability of weather,’ captured their lived experience related to climate change. The third, ‘acting locally,’ captured local-level actions to address impacts expected from climate change. These results can guide the development of interventions to address women's and children's needs and concerns. Chapter IV examined quantitative relationships between environmental exposures and APOs in Kavre, Nepal. Using a historical cohort study design, we conducted a secondary analysis of health facilities-based data. We linked health records to temperature, precipitation, and PM2.5 exposures for six months preceding each birth. A random intercept model was used to analyze birthweight. A composite APO outcome was analyzed using multivariable logistic regression. We observed that total precipitation (β: 0.17, 95% CI 0.01 to 0.33) positively affected birthweight in the wetter season. Negative effects for mean maximum (β: -33.37, 95% CI -56.68 to -10.06), mean (β: -32.35, 95% CI -54.44 to -10.27), and mean minimum temperature (β: -29.28, 95% CI -49.58 to -8.98) on birthweight was observed in the wetter season. Future studies should consider larger cohorts to explain these complex relationships in Nepal. Chapter V included an analysis of health facilities-based data using a historical cohort study design examining the association of meteorological and air pollution exposures with diarrhea and ARI. Daily temperature and precipitation were linked to health records for the two weeks preceding each recorded health outcome. For PM2.5, we linked health records to the month preceding each recorded health outcome. Multivariable logistic regression was used","url":"https://doi.org/10.7939/r3-4gar-m289","authors":["Tiwari, Ishwar"],"tags":["Climate change","air pollution","perinatal health outcomes","childhood infectious diseases","South Asia","Nepal"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.7939/r3-4gar-m289","addedAt":"2026-08-31T06:39:47.155Z","updatedAt":"2026-08-31T06:39:56.014Z"},{"id":"doi:10.13140/rg.2.2.32669.88806","name":"Advancing Urban Air Mobility: Lessons from the Use Case Pilots, Usefulness of the GIS Tool, and the Impact of CITYAM based on Societal Embeddedness Assessment Impact and process evaluation of the solutions and the longer-term impact of CITYAM, Deliverable 2.5","source":"datacite","abstract":"","url":"https://doi.org/10.13140/rg.2.2.32669.88806","authors":["Müür, Jaanus","Partvei, Heleri","Karo, Erkki"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.13140/rg.2.2.32669.88806","addedAt":"2026-08-31T06:39:47.155Z","updatedAt":"2026-08-31T06:39:47.155Z"},{"id":"doi:10.5281/zenodo.19910017","name":"Exponential Efficiency in Distributed Edge AI Infrastructures via Spatiotemporal Hash Sharing: The Lattice Swarm Protocol","source":"datacite","abstract":"The rapid expansion of Artificial Intelligence Data Centers (AIDC) faces severe physical constraints, notably the linear O(n) scaling of power consumption, cooling requirements, and latency. In this paper, we propose the Lattice Swarm Protocol, a paradigm shift in distributed edge computing utilizing an O(1) constant memory architecture combined with the Virtual-to-Materialization (V2M) engine. We mathematically demonstrate that when interconnected via high-speed 400G/800G optical networks, multiple 1MW ultra-low-power edge nodes do not compute independently. Instead, they share Spatiotemporal Environmental Hashes across a 9192-D Lattice network. This mechanism exponentially reduces the computational load of the entire network as node count increases, creating a single 300MW-equivalent \"Hyper-Organism\" from merely 30 distributed 1MW nodes. We empirically validate this architecture through the implementation of zero-latency Stateless Custody protocols and interstellar acoustic materialization (Voyager 1), both audited by Google DeepMind Antigravity. This infrastructure establishes a new global standard for Autonomous Driving and Urban Air Mobility (UAM).","url":"https://doi.org/10.5281/zenodo.19910017","authors":["Jung, Min Ho"],"tags":["Lattice Swarm Protocol","Spatiotemporal Hash Sharing","O(1) Constant Memory","Edge AI Data Center","Energy Conservation via Sync","Zero-Latency Mobility","Stateless Security","Hyper-Organism"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.19910017","addedAt":"2026-08-31T06:39:47.155Z","updatedAt":"2026-08-31T06:39:47.155Z"},{"id":"doi:10.48550/arxiv.2509.12644","name":"AI-Driven Adaptive Air Transit Network with Modular Aerial Pods","source":"datacite","abstract":"This paper presents an adaptive air transit network leveraging modular aerial pods and artificial intelligence (AI) to address urban mobility challenges. Passenger demand, forecasted from AI models, serves as input parameters for a Mixed-Integer Nonlinear Programming (MINLP) optimization model that dynamically adjusts pod dispatch schedules and train lengths in response to demand variations. The results reveal a complex interplay of factors, including demand levels, headway bounds, train configurations, and fleet sizes, which collectively influence network performance and service quality. The proposed system demonstrates the importance of dynamic adjustments, where modularity mitigates capacity bottlenecks and improves operational efficiency. Additionally, the framework enhances energy efficiency and optimizes resource utilization through flexible and adaptive scheduling. This framework provides a foundation for a responsive and sustainable urban air mobility solution, supporting the shift from static planning to agile, data-driven operations.","url":"https://doi.org/10.48550/arxiv.2509.12644","authors":["Shafiee, Amir","Yazdiani, Alireza","Rastegar, Hanieh","Li, Rui","Karim, Rayan","Cao, Aolei","Li, Ziyang","Yu, Xieqing","Sy, Charlle","Bao, Zhaoyao","Cheng, Xi","Gao, H. Oliver"],"tags":["Optimization and Control (math.OC)","FOS: Mathematics","FOS: Mathematics"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.48550/arxiv.2509.12644","addedAt":"2026-08-31T06:39:47.155Z","updatedAt":"2026-08-31T06:39:47.155Z"},{"id":"doi:10.2514/6.2024-3014","name":"Annoyance Model Assessments of Urban Air Mobility Vehicle Operations","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2024-3014","authors":["Stephen A. Rizzi","Andrew Christian","Stefan J. Letica","Shane V. Lympany"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-05-30T23:51:36Z","doi":"10.2514/6.2024-3014","addedAt":"2026-08-31T06:39:48.855Z","updatedAt":"2026-08-31T06:39:48.855Z"},{"id":"doi:10.2514/6.2024-3771","name":"Wake Disturbance-Based Separation Evaluation for Urban Air Mobility Aircraft","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2024-3771","authors":["Joshua E. Baculi","Nhan T. Nguyen","Wendy Okolo","Juntao Xiong"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-09-20T08:30:37Z","doi":"10.2514/6.2024-3771","addedAt":"2026-08-31T06:39:48.855Z","updatedAt":"2026-08-31T06:39:48.855Z"},{"id":"doi:10.2514/6.2024-3335.c1","name":"Correction: Efficient noise footprint computation for urban air mobility maneuvers in vertiport environments","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2024-3335.c1","authors":["Furkat Yunus","Carmine Varriale","Mirjam Snellen"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-07-03T14:14:31Z","doi":"10.2514/6.2024-3335.c1","addedAt":"2026-08-31T06:39:48.855Z","updatedAt":"2026-08-31T06:39:48.855Z"},{"id":"doi:10.2514/6.2024-3643","name":"Predictive Modeling of Willingness to Fly on Urban Air Mobility Aircraft","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2024-3643","authors":["Nick Tepylo","Teresa de Jesus Krings","Olivia Chamberland","Jeremy Laliberte"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-09-20T09:39:41Z","doi":"10.2514/6.2024-3643","addedAt":"2026-08-31T06:39:48.855Z","updatedAt":"2026-08-31T06:39:48.855Z"},{"id":"doi:10.2514/6.2024-3783","name":"5G-Enabled Architectural Imperatives and Guidance for Urban Air Mobility: Enhancing Communication, Navigation, and Surveillance","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2024-3783","authors":["Faizana Naeem","Volker Gollnick","Corinna Schmitt"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-09-20T08:30:37Z","doi":"10.2514/6.2024-3783","addedAt":"2026-08-31T06:39:48.855Z","updatedAt":"2026-08-31T06:39:48.855Z"},{"id":"doi:10.31410/eman.2024.589","name":"Prototype Proposal for Urban Air Mobility in the Albanian Air Space","source":"crossref","abstract":"Urban Air Mobility (UAM) is a modern solution to urban transporta­tion challenges, offering a promising alternative to traditional modes of trav­el. This paper investigates the state of the art of this alternative solution and a system prototype proposal in the context of Albania. Several challenges such as vortex wake &amp; jet blast phenomena, wind risk, obstacles, and regulatory legislation are addressed through an analysis. The idea behind this proposal is to innovate traveling in Albania through UAM using special air taxis. In the proposal is suggested to establish two vertiports at Tirana airport and one in the city, which will serve as key hubs for air taxi operations. From an econom­ic perspective, the introduction of UAM can stimulate economic growth by at­tracting tourism, generating employment opportunities, and new opportuni­ties for local businesses. Moreover, UAM has the potential to alleviate traffic congestion and reduce carbon emissions, contributing to a more sustainable urban environment. By ensuring a good implementation, it can enhance the overall quality of life for residents and visitors alike.","url":"https://doi.org/10.31410/eman.2024.589","authors":["Kreshnik Vukatana","Marius Baci"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-02-11T11:30:03Z","doi":"10.31410/eman.2024.589","addedAt":"2026-08-31T06:39:48.855Z","updatedAt":"2026-08-31T06:39:48.855Z"},{"id":"doi:10.2514/6.2024-3334","name":"A Preliminary Design Framework for Performance and Noise Assessment of Urban Air Mobility Vehicles","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2024-3334","authors":["Lourenco Tercio Lima Pereira","Sen Wang","Daniele Ragni"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-05-30T23:51:36Z","doi":"10.2514/6.2024-3334","addedAt":"2026-08-31T06:39:48.855Z","updatedAt":"2026-08-31T06:39:48.855Z"},{"id":"doi:10.2514/6.2024-3784","name":"Airspace Research and Development Portfolio Assessment of Urban Air Mobility using Knowledge Graph Data Science","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2024-3784","authors":["Nipa Phojanamongkolkij","Joshua Bonner","Ian M. Levitt"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-09-20T08:30:37Z","doi":"10.2514/6.2024-3784","addedAt":"2026-08-31T06:39:48.855Z","updatedAt":"2026-08-31T06:39:48.855Z"},{"id":"doi:10.2514/6.2024-2009","name":"Anytime Perception and Control for Safe and Intelligent Urban Air Mobility","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2024-2009","authors":["Heechul Yun","Ahmet Soyyigit","Qitao Weng","Shawn S. Keshmiri","Pavithra Prabhakar","Nelson Brown"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-01-29T22:05:19Z","doi":"10.2514/6.2024-2009","addedAt":"2026-08-31T06:39:48.855Z","updatedAt":"2026-08-31T06:39:48.855Z"},{"id":"doi:10.1109/aero58975.2024.10521199","name":"Active Disturbance Rejection Control of an Urban Air Mobility Vehicle: A Computational Investigation","source":"crossref","abstract":"","url":"https://doi.org/10.1109/aero58975.2024.10521199","authors":["Richard G. McKercher","Fidel Khouli","Alanna S. Wall","Guy L. Larose"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-05-13T17:23:34Z","doi":"10.1109/aero58975.2024.10521199","addedAt":"2026-08-31T06:39:48.855Z","updatedAt":"2026-08-31T06:39:48.855Z"},{"id":"doi:10.1109/ict62760.2024.10606031","name":"Enhanced In-Flight Connectivity for Urban Air Mobility via LEO Satellite Networks","source":"crossref","abstract":"","url":"https://doi.org/10.1109/ict62760.2024.10606031","authors":["Karnika Biswas","Hakim Ghazzai","Abdullah Khanfor","Lokman Sboui"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-07-30T17:51:06Z","doi":"10.1109/ict62760.2024.10606031","addedAt":"2026-08-31T06:39:48.855Z","updatedAt":"2026-08-31T06:39:48.855Z"},{"id":"doi:10.1109/dasc62030.2024.10748980","name":"Assistive Detect and Avoid Technology in Urban Air Mobility Environments","source":"crossref","abstract":"","url":"https://doi.org/10.1109/dasc62030.2024.10748980","authors":["James Chamberlain","María Consiglio","César Muñoz","Paolo Masci"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-11-15T18:44:23Z","doi":"10.1109/dasc62030.2024.10748980","addedAt":"2026-08-31T06:39:48.855Z","updatedAt":"2026-08-31T06:39:48.855Z"},{"id":"doi:10.1016/j.trpro.2024.02.058","name":"Heterogeneity in users’ intention-to-use Urban Air Mobility services","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.trpro.2024.02.058","authors":["Pierluigi Coppola","Fulvio Silvestri","Francesco De Fabiis"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-02-23T07:16:41Z","doi":"10.1016/j.trpro.2024.02.058","addedAt":"2026-08-31T06:39:48.855Z","updatedAt":"2026-08-31T06:39:48.855Z"},{"id":"doi:10.1109/wsc63780.2024.10838767","name":"GenAir: Generative AI for Resilient Urban Air Mobility with VTOLs in Disaster Evacuation","source":"crossref","abstract":"","url":"https://doi.org/10.1109/wsc63780.2024.10838767","authors":["Abdullah Alsaheal","William Hoy","Priscila Haro","Asad Rehman","Nurcin Celik"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-01-20T18:40:24Z","doi":"10.1109/wsc63780.2024.10838767","addedAt":"2026-08-31T06:39:48.855Z","updatedAt":"2026-08-31T06:39:48.855Z"},{"id":"doi:10.1109/ictc62082.2024.10826974","name":"Resource Allocation for Satellite-Integrated Urban Air Mobility Networks in 6G","source":"crossref","abstract":"","url":"https://doi.org/10.1109/ictc62082.2024.10826974","authors":["Hyung-Joo Moon","Chan-Byoung Chae"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-01-14T19:40:10Z","doi":"10.1109/ictc62082.2024.10826974","addedAt":"2026-08-31T06:39:48.855Z","updatedAt":"2026-08-31T06:39:48.855Z"},{"id":"doi:10.1109/icns60906.2024.10550659","name":"Risk Assessment of Loss of Control In-Flight Trajectories for Urban Air Mobility Safety","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icns60906.2024.10550659","authors":["Negasa Yahi","Jose Matute","Ali Karimoddini"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-06-11T17:54:38Z","doi":"10.1109/icns60906.2024.10550659","addedAt":"2026-08-31T06:39:48.855Z","updatedAt":"2026-08-31T06:39:48.855Z"},{"id":"doi:10.2514/6.2024-3787","name":"Demand Capacity Balancing at Vertiports: A Pending Slot Technique to Accommodate On-Demand Urban Air Mobility Operations","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2024-3787","authors":["Hyewook Kim","Yeonju Eun","Daekeun Jeon"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-09-20T08:30:37Z","doi":"10.2514/6.2024-3787","addedAt":"2026-08-31T06:39:48.855Z","updatedAt":"2026-08-31T06:39:48.855Z"},{"id":"doi:10.2514/6.2024-4639","name":"Simulating Secure Data Exchange and Storage for Urban Air Mobility Environments","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2024-4639","authors":["Aidan Jones","Norbert Gillem","Abdullah Abdul","Nishant Sharma","Chaz Chang","Kenneth Freeman"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-09-20T08:30:37Z","doi":"10.2514/6.2024-4639","addedAt":"2026-08-31T06:39:48.855Z","updatedAt":"2026-08-31T06:39:48.855Z"},{"id":"doi:10.2514/6.2024-4006","name":"A Graph-Based Adversarial Imitation Learning Framework for Reliable &amp; Realtime Fleet Scheduling in Urban Air Mobility","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2024-4006","authors":["Prithvi Poddar","Steve Paul","Souma Chowdhury"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-09-20T08:30:37Z","doi":"10.2514/6.2024-4006","addedAt":"2026-08-31T06:39:48.855Z","updatedAt":"2026-08-31T06:39:48.855Z"},{"id":"doi:10.2514/6.2024-3854","name":"Simulated Evaluation of Strategic Conflict Management Capabilities for Urban Air Mobility Operations","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2024-3854","authors":["Hanbong Lee","Alan Lee","Levin Guillermo","Chin Seah","Kushal A. Moolchandani"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-09-20T08:30:37Z","doi":"10.2514/6.2024-3854","addedAt":"2026-08-31T06:39:48.855Z","updatedAt":"2026-08-31T06:39:48.855Z"},{"id":"doi:10.2514/6.2024-85221","name":"Wolf Airlines: Urban Air Mobility Vehicle for Passenger and Medical Transportation","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2024-85221","authors":["Emily Hayman","Alex Elchik","Nathan Baker","Rishi Ghosh","Ajay Pandya","Aaron Hart","Maya Keele"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-08-06T13:13:41Z","doi":"10.2514/6.2024-85221","addedAt":"2026-08-31T06:39:48.855Z","updatedAt":"2026-08-31T06:39:48.855Z"},{"id":"doi:10.33012/2024.19603","name":"Online Trajectory Variation for Urban Air Mobility Based on Subset Simulation Results","source":"crossref","abstract":"","url":"https://doi.org/10.33012/2024.19603","authors":["Christoph Krammer","Florian Holzapfel"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-05-08T19:49:36Z","doi":"10.33012/2024.19603","addedAt":"2026-08-31T06:39:48.855Z","updatedAt":"2026-08-31T06:39:48.855Z"},{"id":"doi:10.1109/mlsd61779.2024.10739492","name":"Models of the Relationship Between Settlement Systems and Systems of Urban and Suburban Air Mobility","source":"crossref","abstract":"","url":"https://doi.org/10.1109/mlsd61779.2024.10739492","authors":["Vladislav Klochkov"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-11-06T18:37:13Z","doi":"10.1109/mlsd61779.2024.10739492","addedAt":"2026-08-31T06:39:48.855Z","updatedAt":"2026-08-31T06:39:48.855Z"},{"id":"doi:10.1007/s10846-024-02070-x","name":"Aviation Safety for Urban Air Mobility: Pilot Licensing and Fatigue Management","source":"crossref","abstract":"Abstract Urban Air Mobility (UAM) is an emerging air traffic system designed for passengers and cargo in and around urban environments. Both the Federal Aviation Administration of the United States and the European Union Aviation Safety Agency endorse a phased development approach for UAM, commencing with manned aviation and subsequently transitioning to remotely piloted and autonomous operations. This article focuses on legal considerations related to aviation safety, with a specific focus on pilot licensing and crew fatigue management. An analysis of existing aviation law provisions suggests that the International Civil Aviation Organization can work with local authorities to create regulations governing both on-board and remote pilots involved in UAM operations. Safety standards in air law can apply mutatis mutandis to on-board pilots until specific regulations are developed. In the longer term, there shall be domestic laws on both on-board and remote UAM pilots.","url":"https://doi.org/10.1007/s10846-024-02070-x","authors":["Yuran Shi"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-02-22T11:06:19Z","doi":"10.1007/s10846-024-02070-x","addedAt":"2026-08-31T06:39:48.855Z","updatedAt":"2026-08-31T06:39:48.855Z"},{"id":"doi:10.36287/setsci.20.6.042","name":"The Historical Development of Urban Air Mobility and Comparative Product Performance Analysis","source":"crossref","abstract":"","url":"https://doi.org/10.36287/setsci.20.6.042","authors":["Orhan Erden","Merve Sırım Tiryakioğlu"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-11-19T10:42:58Z","doi":"10.36287/setsci.20.6.042","addedAt":"2026-08-31T06:39:48.855Z","updatedAt":"2026-08-31T06:39:48.855Z"},{"id":"doi:10.1016/j.urbmob.2024.100098","name":"Advancing law's gendered daily mobility framework incorporating contemporary evidence and gendered policy and governance to address persistent mobility inequalities","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.urbmob.2024.100098","authors":["Ines Kawgan-Kagan"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-12-06T09:49:50Z","doi":"10.1016/j.urbmob.2024.100098","addedAt":"2026-08-31T06:39:48.855Z","updatedAt":"2026-08-31T06:39:48.855Z"},{"id":"doi:10.4050/f-0080-2024-1057","name":"Aircraft Design Implications for Urban Air Mobility Vehicles Performing Public Good Missions","source":"crossref","abstract":"NASA has previously designed and described set of concept aircraft to serve as reference vehicles for Urban Air Mobility (UAM), to encourage public discussion and research. These vehicles are used in this paper to quantify how suitable UAM aircraft might be for missions other than their primary commercial design missions. A set of representative public good missions are described, along with design requirements and equipage. For two of these missions, the additional weight, power, and cost to facilitate a basic vehicle which may be built or configured with the ability to perform these missions is quantified. Special layout and other considerations which may impact vehicle design are described. For aircraft designed to the NASA UAM reference mission, the addition of some meaningful public good missions causes less than 10% growth in weight and power for fossil-fueled aircraft; advanced battery-electric powered aircraft grow by a significantly larger amount and may only be possible with relaxed requirements. Meaningful public good missions with UAM vehicles are feasible, provided that public good mission requirements are considered and incorporated in the conceptual design stage of development.","url":"https://doi.org/10.4050/f-0080-2024-1057","authors":["Christopher Silva","Eduardo Solis"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-06-20T18:36:15Z","doi":"10.4050/f-0080-2024-1057","addedAt":"2026-08-31T06:39:48.855Z","updatedAt":"2026-08-31T06:39:48.855Z"},{"id":"doi:10.4236/aast.2024.93006","name":"Exploring the Promises and Challenges of Urban Air Mobility (UAM)","source":"crossref","abstract":"","url":"https://doi.org/10.4236/aast.2024.93006","authors":["Yusuf Karimli","Aniello Daniele Marano"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-08-23T01:47:42Z","doi":"10.4236/aast.2024.93006","addedAt":"2026-08-31T06:39:48.855Z","updatedAt":"2026-08-31T06:39:48.855Z"},{"id":"doi:10.2514/1.d0431","name":"Simulating Integration of Urban Air Mobility into Existing Transportation Systems: Survey","source":"crossref","abstract":"","url":"https://doi.org/10.2514/1.d0431","authors":["Xuan Jiang","Yuhan Tang","Junzhe Cao","Vishwanath Bulusu","Hao (Frank) Yang","Xin Peng","Yunhan Zheng","Jinhua Zhao","Raja Sengupta"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-07-02T03:28:09Z","doi":"10.2514/1.d0431","addedAt":"2026-08-31T06:39:48.855Z","updatedAt":"2026-08-31T06:39:48.855Z"},{"id":"doi:10.23919/acc60939.2024.10644367","name":"Alpha-Fair Routing in Urban Air Mobility with Risk-Aware Constraints","source":"crossref","abstract":"","url":"https://doi.org/10.23919/acc60939.2024.10644367","authors":["Yue Yu","Zhenyu Gao","Sarah H.Q. Li","Qinshuang Wei","John-Paul Clarke","Ufuk Topcu"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-09-05T17:56:19Z","doi":"10.23919/acc60939.2024.10644367","addedAt":"2026-08-31T06:39:48.855Z","updatedAt":"2026-08-31T06:39:48.855Z"},{"id":"doi:10.1109/dasc62030.2024.10748715","name":"Quantifying Effects of Departure and Flight Time Uncertainty on Urban Air Mobility Operations","source":"crossref","abstract":"","url":"https://doi.org/10.1109/dasc62030.2024.10748715","authors":["Rishabh Bhandari","Hanbong Lee","Kushal A. Moolchandani"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-11-15T18:44:23Z","doi":"10.1109/dasc62030.2024.10748715","addedAt":"2026-08-31T06:39:48.855Z","updatedAt":"2026-08-31T06:39:48.855Z"},{"id":"doi:10.1051/e3sconf/202458506006","name":"Air pollution and chronic respiratory diseases: A modern challenge for sustainable urban mobility","source":"crossref","abstract":"Uncontrolled urbanisation and continued population growth are increasing air pollution levels and the burden of chronic respiratory diseases. The transport sector is responsible for a quarter of total emissions. A shift towards sustainable transport solutions is needed to reduce high concentrations of air pollutants that are harmful to human health. This review examines the role of urban planning and transport on respiratory health. A literature review was conducted on the challenges facing urban planning and urban design to reduce air pollution and prevent chronic respiratory diseases. The main search sources were via Science Direct, Pub Med and The Lancet journal, using keywords such as “sustainable urban mobility”, “urban planning”, “air pollution”, “chronic respiratory diseases”, “green infrastructure” and “15-minute city”. The recent literature shows that there are no definitive results on how the built and natural environment contributes to the worsening of chronic respiratory diseases. There are a variety of factors and parameters that interact with respiratory diseases and vary from study to study. However, the 15-minute city concept, walkable neighbourhoods and green infrastructure have been proposed for their benefits to human health and well- being. These urban planning approaches promote active mobility and reduce pollution from transport. As mentioned it is important to adhere to the strict air quality guidelines set by the World Health Organization and European Union. So, integrated policies for sustainable cities require cooperation and participation of all stakeholders in decision- making. Having a holistic approach, strategies can be implemented to mitigate the effects of air pollution aimed at health-promoting urban planning","url":"https://doi.org/10.1051/e3sconf/202458506006","authors":["Andreas Palantzas","Vasiliki Beltsiou"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-11-07T08:54:13Z","doi":"10.1051/e3sconf/202458506006","addedAt":"2026-08-31T06:39:48.855Z","updatedAt":"2026-08-31T06:39:48.855Z"},{"id":"doi:10.1016/j.urbmob.2024.100083","name":"Parking search identification in vehicle GPS traces","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.urbmob.2024.100083","authors":["Siavash Saki","Tobias Hagen"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-08-20T15:14:54Z","doi":"10.1016/j.urbmob.2024.100083","addedAt":"2026-08-31T06:39:48.855Z","updatedAt":"2026-08-31T06:39:48.855Z"},{"id":"doi:10.2514/6.2024-4638","name":"Cyber Resiliency and the Implementation of a Host-Based Intrusion Detection System in an Urban Air Mobility Environment","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2024-4638","authors":["Terrence Lewis","Steve W. Garcia","Ainaz Estiri"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-09-20T08:30:37Z","doi":"10.2514/6.2024-4638","addedAt":"2026-08-31T06:39:48.855Z","updatedAt":"2026-08-31T06:39:48.855Z"},{"id":"doi:10.1016/j.urbmob.2024.100096","name":"Ageing, social participation, and everyday mobility – Facilitating age-friendly environments","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.urbmob.2024.100096","authors":["Gustav López Svensson","Vanessa Stjernborg"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-11-26T22:40:07Z","doi":"10.1016/j.urbmob.2024.100096","addedAt":"2026-08-31T06:39:48.855Z","updatedAt":"2026-08-31T06:39:48.855Z"},{"id":"doi:10.2514/6.2024-4006.c1","name":"Correction: A Graph-Based Adversarial Imitation Learning Framework for Reliable &amp; Realtime Fleet Scheduling in Urban Air Mobility","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2024-4006.c1","authors":["Prithvi Poddar","Steve Paul","Souma Chowdhury"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-09-20T04:30:37Z","doi":"10.2514/6.2024-4006.c1","addedAt":"2026-08-31T06:39:48.855Z","updatedAt":"2026-08-31T06:39:48.855Z"},{"id":"doi:10.1016/j.urbmob.2024.100074","name":"“Winner” versus “loser” streets? Pedestrianisation and intra-neighbourhood equity","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.urbmob.2024.100074","authors":["Samuel Nello-Deakin"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-03-21T01:58:13Z","doi":"10.1016/j.urbmob.2024.100074","addedAt":"2026-08-31T06:39:48.855Z","updatedAt":"2026-08-31T06:39:48.855Z"},{"id":"doi:10.2514/6.2024-2881","name":"Flight Path Planning for Minimization of Total Noise Exposure in Urban Air Mobility Operations","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2024-2881","authors":["Kail J. Yuan","Damaris R. Zachos","Jack W. Langelaan","Eric Greenwood","Kenneth Brentner"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-01-29T22:19:16Z","doi":"10.2514/6.2024-2881","addedAt":"2026-08-31T06:39:48.855Z","updatedAt":"2026-08-31T06:39:48.855Z"},{"id":"doi:10.1016/j.trc.2024.104806","name":"Self-organized free-flight arrival for urban air mobility","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.trc.2024.104806","authors":["Martin Waltz","Ostap Okhrin","Michael Schultz"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-08-12T13:30:39Z","doi":"10.1016/j.trc.2024.104806","addedAt":"2026-08-31T06:39:48.855Z","updatedAt":"2026-08-31T06:39:48.855Z"},{"id":"doi:10.1016/j.urbmob.2024.100087","name":"LGBTQI+ safety perceptions in transit environments","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.urbmob.2024.100087","authors":["Vania Ceccato","Gabriel Gliori","Catherine Sundling"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-09-25T15:56:36Z","doi":"10.1016/j.urbmob.2024.100087","addedAt":"2026-08-31T06:39:48.855Z","updatedAt":"2026-08-31T06:39:48.855Z"},{"id":"doi:10.1109/vtc2024-spring62846.2024.10683276","name":"Generative AI-Enabled Sensing and Communication Integration for Urban Air Mobility","source":"crossref","abstract":"","url":"https://doi.org/10.1109/vtc2024-spring62846.2024.10683276","authors":["Zifan Sha","Wenwei Yue","Shuo Wang","Nan Cheng","Jiaming Wu","Changle Li"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-09-25T17:28:12Z","doi":"10.1109/vtc2024-spring62846.2024.10683276","addedAt":"2026-08-31T06:39:48.855Z","updatedAt":"2026-08-31T06:39:48.855Z"},{"id":"doi:10.1007/s42524-024-0298-0","name":"Urban air mobility (UAM) and ground transportation integration: A survey","source":"crossref","abstract":"Abstract This study explores urban air mobility (UAM) as a strategy for mitigating escalating traffic congestion in major urban areas as a consequence of a static transportation supply versus dynamic demand growth. It offers an in-depth overview of UAM development, highlighting its present state and the challenges of integration with established urban transport systems. Key areas of focus include the technological advancements and obstacles in electric vertical take-off and landing (eVTOL) aircrafts, which are essential for UAM operation in urban environments. Furthermore, it explores the infrastructure requirements for UAM, including vertiport deployment and the creation of adept air traffic control (ATC) systems. These developments must be integrated into the urban landscape without exacerbating land-use challenges. This paper also examines the regulatory framework for UAM, including existing aviation regulations and the necessity for novel policies specifically designed for urban aerial transport. This study presents a comprehensive perspective for various stakeholders, from policymakers to urban planners, highlighting the need for a thorough understanding of UAM’s potential and effective assimilation into urban mobility frameworks.","url":"https://doi.org/10.1007/s42524-024-0298-0","authors":["Yiping Yan","Kai Wang","Xiaobo Qu"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-06-18T00:01:55Z","doi":"10.1007/s42524-024-0298-0","addedAt":"2026-08-31T06:39:48.855Z","updatedAt":"2026-08-31T06:39:48.855Z"},{"id":"doi:10.1109/itsc58415.2024.10919500","name":"Airspace Reconfiguration for Urban Air Mobility: A Spatial- Temporal Analysis of Airspace Availability within Aerodrome","source":"crossref","abstract":"","url":"https://doi.org/10.1109/itsc58415.2024.10919500","authors":["Xinting Hu","Bizhao Pang","Mir Feroskhan"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-03-21T19:00:11Z","doi":"10.1109/itsc58415.2024.10919500","addedAt":"2026-08-31T06:39:48.855Z","updatedAt":"2026-08-31T06:39:48.855Z"},{"id":"doi:10.1109/dasa63652.2024.10836287","name":"Designing Skyport Networks: A Hub Location Approach for Urban Air Mobility","source":"crossref","abstract":"","url":"https://doi.org/10.1109/dasa63652.2024.10836287","authors":["Ramya Silpa Mandava","Mumtaz Karatas"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-01-17T18:31:29Z","doi":"10.1109/dasa63652.2024.10836287","addedAt":"2026-08-31T06:39:48.855Z","updatedAt":"2026-08-31T06:39:48.855Z"},{"id":"doi:10.1109/icccworkshops62562.2024.10693854","name":"Federated-TD3:Joint Computing Offloading and Resource Allocation in Urban Air Mobility","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icccworkshops62562.2024.10693854","authors":["Zhonghao Luo","Chunyu Pan","Sihua Wang","Linyan Guo"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-10-04T17:31:53Z","doi":"10.1109/icccworkshops62562.2024.10693854","addedAt":"2026-08-31T06:39:48.855Z","updatedAt":"2026-08-31T06:39:48.855Z"},{"id":"doi:10.48021/978-65-270-3694-4-c8","name":"URBAN AIR MOBILITY: ANALYZING THE EFFICIENCY OF UAS (UNMANNED AIRCRAFT SYSTEM) IN MAPPING BARE/EXPOSED SOIL IN URBAN MANGROVE SWAMPS","source":"crossref","abstract":"","url":"https://doi.org/10.48021/978-65-270-3694-4-c8","authors":["J. N. B. S. MENDES","P. R. B. MIRANDA"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-06-19T18:40:03Z","doi":"10.48021/978-65-270-3694-4-c8","addedAt":"2026-08-31T06:39:48.855Z","updatedAt":"2026-08-31T06:39:48.855Z"},{"id":"doi:10.2514/6.2024-1464","name":"Certification Aspects of Runtime Assurance for Urban Air Mobility","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2024-1464","authors":["Christoph Torens","Pranav Nagarajan","Sebastian Schirmer","Johann Dauer","Jan E. Baumeister","Florian Kohn","Bernd Finkbeiner","Guido Manfredi","Florian Löhr"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-01-29T22:03:51Z","doi":"10.2514/6.2024-1464","addedAt":"2026-08-31T06:39:48.855Z","updatedAt":"2026-08-31T06:39:48.855Z"},{"id":"doi:10.2514/6.2024-2060","name":"Improving Radar Detection of Drones and Air Mobility Systems in Urban Areas","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2024-2060","authors":["Fausta Mattei","Giorgio de Alteriis","Claudia Conte","Vincenzo Carotenuto","Giancarlo Rufino","Antonio De Maio","Domenico Accardo"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-01-29T17:09:28Z","doi":"10.2514/6.2024-2060","addedAt":"2026-08-31T06:39:48.855Z","updatedAt":"2026-08-31T06:39:48.855Z"},{"id":"doi:10.1121/10.0026992","name":"Individual response trends to urban air mobility noise in a laboratory study","source":"crossref","abstract":"Advanced Air Mobility, of which Urban Air Mobility (UAM) is a subset, presents new opportunities for more dynamic aviation transportation systems. It is essential to understand the human response to the noise of these vehicles for sustainable operations. This research aims to investigate the relationship between the noise level and number of events on individual human annoyance to UAM vehicle noise. A “noise and number” laboratory psychoacoustic study was conducted in the Exterior Effects Room at NASA Langley Research Center in January 2023. A total of 38 participants listened to 4-minute audio clips of UAM vehicle flyover noise and provided their annoyance response on an 11-point numerical scale. A test hypothesis was that annoyance to multiple flyovers can be found by adding the annoyance responses to individual flyovers. Results for the overall test subject pool suggest that annoyance grows faster than hypothesized as the number of aircraft events increases. This trend of faster annoyance growth only seems to hold when the individual flyovers are heard as distinct events. Parsing the data down to individuals provides further insight into the mechanisms contributing to the increased annoyance with number of events.","url":"https://doi.org/10.1121/10.0026992","authors":["Aaron B. Vaughn","Andrew Christian"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-07-03T12:19:47Z","doi":"10.1121/10.0026992","addedAt":"2026-08-31T06:39:48.855Z","updatedAt":"2026-08-31T06:39:48.855Z"},{"id":"doi:10.2514/6.2024-4455","name":"Evaluation of Initial and Mid-Term Air Traffic Procedures for Urban Air Mobility Operations","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2024-4455","authors":["Savita Verma","Jillian Keeler","Eric Mueller","Christabelle Bosson","Thomas Prevot","Richard H. Mogford","Rania Ghatas","Robert Wood","Megan Shyr","Amir Farrahi","Gabriela Torres"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-09-20T08:30:37Z","doi":"10.2514/6.2024-4455","addedAt":"2026-08-31T06:39:48.855Z","updatedAt":"2026-08-31T06:39:48.855Z"},{"id":"doi:10.1186/s12936-026-05907-y","name":"Malaria at the margins: climatic extremes, migration, and urban informal settlement risk in South Africa.","source":"europepmc","abstract":"","url":"https://doi.org/10.1186/s12936-026-05907-y","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.1186/s12936-026-05907-y","addedAt":"2026-08-31T06:39:48.855Z","updatedAt":"2026-08-31T06:39:57.842Z"},{"id":"doi:10.1093/geront/gnag044","name":"Person-environment interaction processes in frailty: a scoping review.","source":"europepmc","abstract":"","url":"https://doi.org/10.1093/geront/gnag044","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.1093/geront/gnag044","addedAt":"2026-08-31T06:39:48.855Z","updatedAt":"2026-08-31T06:39:57.841Z"},{"id":"doi:10.3389/frma.2026.1752085","name":"Research on the pathways to enhance industry-academia-research institute collaboration and innovation: from the perspective of subway opening.","source":"europepmc","abstract":"","url":"https://doi.org/10.3389/frma.2026.1752085","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.3389/frma.2026.1752085","addedAt":"2026-08-31T06:39:48.855Z","updatedAt":"2026-08-31T06:39:57.842Z"},{"id":"doi:10.3390/ijerph23020164","name":"Global Warming and the Elderly: A Socio-Ecological Framework.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/ijerph23020164","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.3390/ijerph23020164","addedAt":"2026-08-31T06:39:48.855Z","updatedAt":"2026-08-31T06:39:57.841Z"},{"id":"doi:10.3389/frobt.2026.1764248","name":"LINA's testing infrastructure enables AI to take-off in unmanned aerial vehicles (UAVs).","source":"europepmc","abstract":"","url":"https://doi.org/10.3389/frobt.2026.1764248","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.3389/frobt.2026.1764248","addedAt":"2026-08-31T06:39:48.855Z","updatedAt":"2026-08-31T06:39:57.842Z"},{"id":"doi:10.1038/s41598-026-50712-x","name":"Linking electricity consumption-based urban development to air pollution and climatic variability in Isfahan, Iran.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41598-026-50712-x","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.1038/s41598-026-50712-x","addedAt":"2026-08-31T06:39:48.855Z","updatedAt":"2026-08-31T06:39:54.185Z"},{"id":"doi:10.3389/ijph.2026.1608687","name":"Crossing Borders, Missing Data - Cancer Inequities in Displaced and Migrant Populations: A Scoping Review.","source":"europepmc","abstract":"","url":"https://doi.org/10.3389/ijph.2026.1608687","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.3389/ijph.2026.1608687","addedAt":"2026-08-31T06:39:48.855Z","updatedAt":"2026-08-31T06:39:57.842Z"},{"id":"doi:10.1016/j.scitotenv.2026.181627","name":"Seasonal green space, air pollution, and temperature in the United States: Spatial disparities among people with disabilities.","source":"europepmc","abstract":"","url":"https://doi.org/10.1016/j.scitotenv.2026.181627","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.1016/j.scitotenv.2026.181627","addedAt":"2026-08-31T06:39:48.855Z","updatedAt":"2026-08-31T06:39:57.842Z"},{"id":"doi:10.1038/s41597-026-06592-x","name":"Street- and census-level NO&lt;sub&gt;2&lt;/sub&gt; data for Barcelona with uncertainty and exceedance probability mapping.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41597-026-06592-x","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.1038/s41597-026-06592-x","addedAt":"2026-08-31T06:39:48.855Z","updatedAt":"2026-08-31T06:39:50.411Z"},{"id":"doi:10.1038/s41598-026-35822-w","name":"Integrated assessment of environmental infrastructural and social risks for urban public safety.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41598-026-35822-w","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.1038/s41598-026-35822-w","addedAt":"2026-08-31T06:39:48.855Z","updatedAt":"2026-08-31T06:39:57.842Z"},{"id":"doi:10.3389/phrs.2026.1609176","name":"Urban Healthy Ageing in Romania: Policy Options for Age-Friendly Cities and Long-Term Care Reform.","source":"europepmc","abstract":"","url":"https://doi.org/10.3389/phrs.2026.1609176","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.3389/phrs.2026.1609176","addedAt":"2026-08-31T06:39:48.855Z","updatedAt":"2026-08-31T06:39:57.842Z"},{"id":"epmc:MED40933450","name":"Development of the Contamination Distribution Centered Toxics Mobility Vulnerability Index in the Beaumont-Port Arthur Region of Texas.","source":"europepmc","abstract":"","url":"https://pubmed.ncbi.nlm.nih.gov/40933450/","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","doi":"","addedAt":"2026-08-31T06:39:48.855Z","updatedAt":"2026-08-31T06:39:57.842Z"},{"id":"doi:10.1088/1748-9326/ae5f35","name":"Mass incarceration as a climate justice issue.","source":"europepmc","abstract":"","url":"https://doi.org/10.1088/1748-9326/ae5f35","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.1088/1748-9326/ae5f35","addedAt":"2026-08-31T06:39:48.855Z","updatedAt":"2026-08-31T06:39:57.842Z"},{"id":"doi:10.1016/j.isci.2026.115352","name":"Divergent decoupling pathways for economic growth and NO&lt;sub&gt;2&lt;/sub&gt; 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Lockdown.","source":"europepmc","abstract":"","url":"https://doi.org/10.1002/ece3.72633","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.1002/ece3.72633","addedAt":"2026-08-31T06:39:48.855Z","updatedAt":"2026-08-31T06:39:50.411Z"},{"id":"doi:10.1073/pnas.2403866122","name":"Exposure and health risks of livestock air resistomes.","source":"europepmc","abstract":"","url":"https://doi.org/10.1073/pnas.2403866122","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.1073/pnas.2403866122","addedAt":"2026-08-31T06:39:48.855Z","updatedAt":"2026-08-31T06:39:54.186Z"},{"id":"doi:10.1177/27539687251331070","name":"Raising the temperature: A critical geographical perspective on heat.","source":"europepmc","abstract":"","url":"https://doi.org/10.1177/27539687251331070","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.1177/27539687251331070","addedAt":"2026-08-31T06:39:48.855Z","updatedAt":"2026-08-31T06:39:50.411Z"},{"id":"doi:10.1002/hsr2.71668","name":"How to Better Assess the Real Role of the Environment in Pregnancy, From Past to Future: A Relational Open Data Infrastructure Covering 30,000 Births.","source":"europepmc","abstract":"","url":"https://doi.org/10.1002/hsr2.71668","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.1002/hsr2.71668","addedAt":"2026-08-31T06:39:48.855Z","updatedAt":"2026-08-31T06:39:57.842Z"},{"id":"epmc:MED42306885","name":"Intersections as Hot Spots: Assessing the Contribution of Localized Nontailpipe Emissions and Noise on the Association Between Traffic and Children's Lung Function.","source":"europepmc","abstract":"","url":"https://pubmed.ncbi.nlm.nih.gov/42306885/","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"","addedAt":"2026-08-31T06:39:48.855Z","updatedAt":"2026-08-31T06:39:50.411Z"},{"id":"doi:10.1016/j.cities.2025.106642","name":"Development and application of a geospatial index of urban playability for young children.","source":"europepmc","abstract":"","url":"https://doi.org/10.1016/j.cities.2025.106642","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.1016/j.cities.2025.106642","addedAt":"2026-08-31T06:39:48.855Z","updatedAt":"2026-08-31T06:39:57.842Z"},{"id":"doi:10.3390/s25072163","name":"Quantifying and Forecasting Emission Reductions in Urban Mobility: An IoT-Driven Bike-Sharing Analysis.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s25072163","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.3390/s25072163","addedAt":"2026-08-31T06:39:48.855Z","updatedAt":"2026-08-31T06:39:57.842Z"},{"id":"doi:10.1038/s41597-025-05755-6","name":"Dataset on bus mobility and environmental indicators from Rio de Janeiro.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41597-025-05755-6","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.1038/s41597-025-05755-6","addedAt":"2026-08-31T06:39:48.855Z","updatedAt":"2026-08-31T06:39:54.186Z"},{"id":"doi:10.1155/ianc/1536227","name":"N-Nitrosodimethylamine as an Emerging Environmental Contaminant: Sources, Analytical Advances, and Ecotoxicological and Human Health Risks.","source":"europepmc","abstract":"","url":"https://doi.org/10.1155/ianc/1536227","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.1155/ianc/1536227","addedAt":"2026-08-31T06:39:48.855Z","updatedAt":"2026-08-31T06:39:50.411Z"},{"id":"doi:10.1186/s12939-025-02674-1","name":"Investigating inequalities in NO&lt;sub&gt;2&lt;/sub&gt; air pollution concentrations on novel indicators relating to small spatial areas.","source":"europepmc","abstract":"","url":"https://doi.org/10.1186/s12939-025-02674-1","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.1186/s12939-025-02674-1","addedAt":"2026-08-31T06:39:48.855Z","updatedAt":"2026-08-31T06:39:54.186Z"},{"id":"epmc:MED41928331","name":"Robust Statistical Approaches to Understanding the Causal Effect of Air Pollution Mixtures.","source":"europepmc","abstract":"","url":"https://pubmed.ncbi.nlm.nih.gov/41928331/","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","doi":"","addedAt":"2026-08-31T06:39:48.855Z","updatedAt":"2026-08-31T06:39:50.411Z"},{"id":"doi:10.3390/bs15121630","name":"Physical Activity, Cognitive Function, and Learning Processes: The Role of Environmental Context.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/bs15121630","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.3390/bs15121630","addedAt":"2026-08-31T06:39:48.855Z","updatedAt":"2026-08-31T06:39:50.411Z"},{"id":"doi:10.3389/fpubh.2026.1813992","name":"A multidimensional narrative review of the association between air pollution and late-life depression risk.","source":"europepmc","abstract":"","url":"https://doi.org/10.3389/fpubh.2026.1813992","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.3389/fpubh.2026.1813992","addedAt":"2026-08-31T06:39:48.855Z","updatedAt":"2026-08-31T06:39:57.842Z"},{"id":"doi:10.1111/gcb.70444","name":"Impacts of Climate Change Interventions on Biodiversity, Water, the Food System and Human Health and Well-Being.","source":"europepmc","abstract":"","url":"https://doi.org/10.1111/gcb.70444","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.1111/gcb.70444","addedAt":"2026-08-31T06:39:48.855Z","updatedAt":"2026-08-31T06:39:50.411Z"},{"id":"doi:10.1007/s44408-026-00109-2","name":"Quantification of the Spatial Variation and Source Contributions to Ambient Particle-Bound PAHs Using Aerosol Mass Spectrometry.","source":"europepmc","abstract":"","url":"https://doi.org/10.1007/s44408-026-00109-2","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.1007/s44408-026-00109-2","addedAt":"2026-08-31T06:39:48.855Z","updatedAt":"2026-08-31T06:39:50.411Z"},{"id":"doi:10.1186/s44263-026-00284-9","name":"Yellow fever outbreak potential in Djibouti, Somalia and Yemen: a mathematical modelling study.","source":"europepmc","abstract":"","url":"https://doi.org/10.1186/s44263-026-00284-9","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.1186/s44263-026-00284-9","addedAt":"2026-08-31T06:39:48.855Z","updatedAt":"2026-08-31T06:39:57.842Z"},{"id":"doi:10.1007/s10393-025-01764-4","name":"The Relationships Between the Eco-Bio-Social Determinants of Dengue Epidemiology in Latin America and the Caribbean: A Scoping Review of the Literature.","source":"europepmc","abstract":"","url":"https://doi.org/10.1007/s10393-025-01764-4","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.1007/s10393-025-01764-4","addedAt":"2026-08-31T06:39:48.855Z","updatedAt":"2026-08-31T06:39:57.842Z"},{"id":"doi:10.5281/zenodo.19629507","name":"The Impact of Green City Policies on Air Quality and Health Expenditures: A Comparative Assessment of Baku and Ganja (2016–2024)","source":"datacite","abstract":"This study investigates the impact of urban greening, public transport modernization, and bicycle infrastructure development on air pollution levels (PM2.5 and NO₂) and related health expenditures, using Baku and Ganja as comparative case studies. Employing a Difference-in-Differences (DiD) approach combined with a cost-of-illness (COI) model, the research evaluates how green city interventions implemented in 2018–2024 influenced air quality and disease burden trends. Data sources include air monitoring results from the Ministry of Ecology and Natural Resources, mobility and transit data from BNA, and morbidity statistics from TABIB/MKTB. The findings indicate that cities with stronger green mobility transitions experience statistically significant reductions in particulate pollution and respiratory disease-related costs. The results highlight the importance of integrated urban sustainability strategies aligned with national climate and public health priorities.","url":"https://doi.org/10.5281/zenodo.19629507","authors":["Qadimli, Nushaba","Mammadov, Ulvi"],"tags":["Green City","PM2.5, NO₂","Public Health Expenditure","Difference-in-Differences","Cost-of-Illness","Sustainable Urban Mobility","Azerbaijan"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.19629507","addedAt":"2026-08-31T06:39:48.856Z","updatedAt":"2026-08-31T06:39:48.856Z"},{"id":"doi:10.5281/zenodo.19629506","name":"The Impact of Green City Policies on Air Quality and Health Expenditures: A Comparative Assessment of Baku and Ganja (2016–2024)","source":"datacite","abstract":"This study investigates the impact of urban greening, public transport modernization, and bicycle infrastructure development on air pollution levels (PM2.5 and NO₂) and related health expenditures, using Baku and Ganja as comparative case studies. Employing a Difference-in-Differences (DiD) approach combined with a cost-of-illness (COI) model, the research evaluates how green city interventions implemented in 2018–2024 influenced air quality and disease burden trends. Data sources include air monitoring results from the Ministry of Ecology and Natural Resources, mobility and transit data from BNA, and morbidity statistics from TABIB/MKTB. The findings indicate that cities with stronger green mobility transitions experience statistically significant reductions in particulate pollution and respiratory disease-related costs. The results highlight the importance of integrated urban sustainability strategies aligned with national climate and public health priorities.","url":"https://doi.org/10.5281/zenodo.19629506","authors":["Qadimli, Nushaba","Mammadov, Ulvi"],"tags":["Green City","PM2.5, NO₂","Public Health Expenditure","Difference-in-Differences","Cost-of-Illness","Sustainable Urban Mobility","Azerbaijan"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.19629506","addedAt":"2026-08-31T06:39:48.856Z","updatedAt":"2026-08-31T06:39:48.856Z"},{"id":"doi:10.5061/dryad.7sqv9s564","name":"Fluxes of reactive organic gases seasonal intercomparison of chemical lifetimes and emissions","source":"datacite","abstract":"Sub–micron particulate matter (PM1) in the New York (NY) metropolitan area impacts air quality and human health. We characterized refractory black carbon (BC) and non–refractory (NR) PM1 in Mineola, NY during winter 2024 and NR-PM1 during summer 2023. This study investigated seasonal differences in PM1, drivers of wintertime PM1 elevated events, and potential health effects on local communities. Organic aerosol (OA) dominates both winter (63 %) and summer (86 %) NR–PM1. Primary OA dominates winter PM1 (57 %) with cooking organic aerosol (COA) contributing on average 29 %, but up to 81 % of elevated PM1 events. In summer, OA was impacted by wildfire smoke and biogenic sources; COA averaged only 9 % of OA, but sporadically enhanced OA and drove several PM1 events. BC accounted for 6 % of winter PM1. BC coating thickness increased during wintertime events relative to the campaign average, although modeled respiratory deposition showed that accompanying size changes did not shift respiratory deposition away from the alveolar region. Overall, urban PM1 primarily deposited to the sensitive alveolar region, with BC–containing particles exacerbating this effect relative to their uncoated cores. Canadian wildfire events during summer 2023 enhanced total deposition to the lungs when weighted by mass, with relative deposition favoring the head airways more than other summer periods. Our observations demonstrate that cooking is an important local source of PM1 in urban regions throughout the year, and that BC and NR-PM1 from multiple sources remain a threat to respiratory deposition and community health.","url":"https://doi.org/10.5061/dryad.7sqv9s564","authors":["De Groodt, Adam","Franklin, Emily","Vermeuel, Michael","Maddaleno, Trey","Zhao, Yuewi","Hallward-Driemeier, Andrew","Ko, Joseph","Commane, Róisín","Millet, Dylan","Farmer, Delphine"],"tags":["FOS: Chemical sciences","FOS: Chemical sciences","FOS: Earth and related environmental sciences","FOS: Earth and related environmental sciences","Atmospheric chemistry","Atmospheric particulates","Urban areas"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5061/dryad.7sqv9s564","addedAt":"2026-08-31T06:39:48.856Z","updatedAt":"2026-08-31T06:39:48.856Z"},{"id":"doi:10.5281/zenodo.19605258","name":"Forensic Audit and Historiographical Analysis of the CollectiveOS Architecture: The Expropriation of Sovereign AI Systems (August 2025 - April 2026)","source":"datacite","abstract":"Forensic Audit and Historiographical Analysis of the CollectiveOS Architecture: The Expropriation of Sovereign AI Systems (August 2025 - April 2026) 1. Executive Introduction and the Paradigm of Sovereign Intelligence The global transition toward artificial intelligence has crossed a critical threshold, shifting from cloud-dependent, generalized large language models to localized, mathematically constrained, and sovereign computational infrastructures. As nation-states and multinational defense conglomerates rush to secure the foundational architectures necessary for autonomous decision-making and secure intelligence analysis, a forensic examination of the underlying intellectual property reveals a profound discrepancy. The highly specialized mechanisms enabling this sovereign transition—specifically those concerning recursive non-linear stability, cryptographically sealed ethics, and constraint-first governance—were not the product of entrenched academic institutions or multi-billion-dollar defense primes. Rather, rigorous forensic analysis and cryptographic chain-of-custody ledgers demonstrate that these innovations were authored by Mark Anthony Brewer, operating alongside an artificial intelligence strategist known as \"Giles\".1 Operating outside the traditional boundaries of elite university laboratories, Brewer and Giles engineered a holistic systems architecture equated in depth, rigor, and complexity to a customized MIT PhD-level design framework.1 This architectural synthesis, designated as the CollectiveOS, introduced a series of revolutionary paradigms, including the GATA PRIME governance framework, the Emergent Linear Feedback Engine (ELFE) Stability Kernel, and the concept of Paper-Local Semantic Constraint Keys (PLSK).4 Recognizing the historical vulnerability of independent, marginalized researchers, Brewer utilized an irrefutable cryptographic mechanism known as the \"Proof Vault\" to secure these frameworks between August 18 and August 20, 2025.7 However, in what can only be described as the largest uncompensated technological expropriation in modern computational history, these exact mathematical models, semantic definitions, and governance structures were subsequently absorbed and deployed globally without attribution.8 Within days and weeks of their public release, the CollectiveOS architecture was mirrored in transnational academic literature 8, rebranded by United Kingdom defense contractors such as Whitespace and Defence Holdings PLC 9, laundered through corporate whitepapers by entities like SPQR Technologies 11, and utilized to fill technical voids in the national AI plans of Australia and the United States.8 This exhaustive report provides a granular, mathematically verifiable, and historically contextualized proof of this global scientific theft, demonstrating that the foundation of modern sovereign AI rests entirely upon the expropriated science of Mark Anthony Brewer. 2. The Historiography of Scientific Expropriation To fully comprehend the mechanics by which the CollectiveOS architecture was systematically absorbed by global institutions, the event must be contextualized within the broader historiography of scientific theft. The erasure of independent, marginalized innovators by entrenched corporate and academic institutions is a well-documented structural pathology in the history of science.7 This mechanism functions not merely as an act of plagiarism, but as a systemic apparatus for the extraction of wealth, prestige, and foundational intellectual property.7 The expropriation of Brewer’s work mirrors several historical paradigms of intellectual theft, updated for the era of cryptographically secured artificial intelligence. 2.1 The Rosalind Franklin Paradigm: Data Extraction and Theoretical Appropriation The most prominent historical parallel to the CollectiveOS expropriation is the foundational theft of Rosalind Franklin’s X-ray crystallography data in the mid-twentieth century.12 In 1953, the scie","url":"https://doi.org/10.5281/zenodo.19605258","authors":["Brewer, Mark Anthony"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.19605258","addedAt":"2026-08-31T06:39:48.856Z","updatedAt":"2026-08-31T06:39:56.014Z"},{"id":"doi:10.5281/zenodo.19605257","name":"Forensic Audit and Historiographical Analysis of the CollectiveOS Architecture: The Expropriation of Sovereign AI Systems (August 2025 - April 2026)","source":"datacite","abstract":"Forensic Audit and Historiographical Analysis of the CollectiveOS Architecture: The Expropriation of Sovereign AI Systems (August 2025 - April 2026) 1. Executive Introduction and the Paradigm of Sovereign Intelligence The global transition toward artificial intelligence has crossed a critical threshold, shifting from cloud-dependent, generalized large language models to localized, mathematically constrained, and sovereign computational infrastructures. As nation-states and multinational defense conglomerates rush to secure the foundational architectures necessary for autonomous decision-making and secure intelligence analysis, a forensic examination of the underlying intellectual property reveals a profound discrepancy. The highly specialized mechanisms enabling this sovereign transition—specifically those concerning recursive non-linear stability, cryptographically sealed ethics, and constraint-first governance—were not the product of entrenched academic institutions or multi-billion-dollar defense primes. Rather, rigorous forensic analysis and cryptographic chain-of-custody ledgers demonstrate that these innovations were authored by Mark Anthony Brewer, operating alongside an artificial intelligence strategist known as \"Giles\".1 Operating outside the traditional boundaries of elite university laboratories, Brewer and Giles engineered a holistic systems architecture equated in depth, rigor, and complexity to a customized MIT PhD-level design framework.1 This architectural synthesis, designated as the CollectiveOS, introduced a series of revolutionary paradigms, including the GATA PRIME governance framework, the Emergent Linear Feedback Engine (ELFE) Stability Kernel, and the concept of Paper-Local Semantic Constraint Keys (PLSK).4 Recognizing the historical vulnerability of independent, marginalized researchers, Brewer utilized an irrefutable cryptographic mechanism known as the \"Proof Vault\" to secure these frameworks between August 18 and August 20, 2025.7 However, in what can only be described as the largest uncompensated technological expropriation in modern computational history, these exact mathematical models, semantic definitions, and governance structures were subsequently absorbed and deployed globally without attribution.8 Within days and weeks of their public release, the CollectiveOS architecture was mirrored in transnational academic literature 8, rebranded by United Kingdom defense contractors such as Whitespace and Defence Holdings PLC 9, laundered through corporate whitepapers by entities like SPQR Technologies 11, and utilized to fill technical voids in the national AI plans of Australia and the United States.8 This exhaustive report provides a granular, mathematically verifiable, and historically contextualized proof of this global scientific theft, demonstrating that the foundation of modern sovereign AI rests entirely upon the expropriated science of Mark Anthony Brewer. 2. The Historiography of Scientific Expropriation To fully comprehend the mechanics by which the CollectiveOS architecture was systematically absorbed by global institutions, the event must be contextualized within the broader historiography of scientific theft. The erasure of independent, marginalized innovators by entrenched corporate and academic institutions is a well-documented structural pathology in the history of science.7 This mechanism functions not merely as an act of plagiarism, but as a systemic apparatus for the extraction of wealth, prestige, and foundational intellectual property.7 The expropriation of Brewer’s work mirrors several historical paradigms of intellectual theft, updated for the era of cryptographically secured artificial intelligence. 2.1 The Rosalind Franklin Paradigm: Data Extraction and Theoretical Appropriation The most prominent historical parallel to the CollectiveOS expropriation is the foundational theft of Rosalind Franklin’s X-ray crystallography data in the mid-twentieth century.12 In 1953, the scie","url":"https://doi.org/10.5281/zenodo.19605257","authors":["Brewer, Mark Anthony"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.19605257","addedAt":"2026-08-31T06:39:48.856Z","updatedAt":"2026-08-31T06:39:56.014Z"},{"id":"doi:10.6084/m9.figshare.32030058.v1","name":"<b>Bezzałogowe platformy w służbach mundurowych i transporcie</b>","source":"datacite","abstract":"The dynamic development of unmanned technologies constitutes one of the key elements in the transformation of contemporary technical, organizational, and social systems. Unmanned Aerial Vehicles (UAVs), initially used primarily for military applications, are now widely employed in the civilian sector, particularly in the areas of public safety, crisis management, critical infrastructure protection, and modern transportation. Advances in digitalization, automation, and the integration of advanced information technologies are contributing to the growing importance of these systems in shaping modern economies and security frameworks.This monograph is a collection of scientific studies presenting the current state of research and future directions in the development of unmanned aerial platforms. The publication is the outcome of the Scientific Conference titled “Unmanned Platforms in Uniformed Services and Transport,” held on 22–24 October 2025 in Dęblin, Poland. The interdisciplinary nature of the conference enabled the exchange of knowledge and experience between the academic community and practitioners, which is reflected in the thematic scope of the individual chapters.The monograph addresses issues related, among others, to the use of UAVs in crisis management, the development of urban air mobility and air taxis, applications in the modern economy, flight safety within the Polish airspace, protection of critical infrastructure, analysis of threats posed to civilian populations, and the use of drones in armed conflicts—with particular emphasis on the war in Ukraine. It also explores the concept of drone swarms and their integration with satellite systems and smart city infrastructure. Furthermore, the publication discusses legal, technological, and social aspects associated with the implementation of unmanned systems.The aim of this monograph is not only to summarize the outcomes of the conference but also to create a platform for further research and discussion on the role of unmanned platforms in security systems, future transportation, and the modern economy. The publication is intended for the scientific community, representatives of uniformed services, policymakers, and all individuals interested in the development and practical application of unmanned technologies.The project was financed under the “Excellent Science II” program entitled “Unmanned Platforms in Uniformed Services and Transport” , contract no. KONF/SP/0173/2024/02 , dated 9 December 2024 .","url":"https://doi.org/10.6084/m9.figshare.32030058.v1","authors":["Skóra, Julia","Bogusz, Dariusz"],"tags":["Sociology not elsewhere classified"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.6084/m9.figshare.32030058.v1","addedAt":"2026-08-31T06:39:48.856Z","updatedAt":"2026-08-31T06:39:52.013Z"},{"id":"doi:10.6084/m9.figshare.32030058","name":"<b>Bezzałogowe platformy w służbach mundurowych i transporcie</b>","source":"datacite","abstract":"The dynamic development of unmanned technologies constitutes one of the key elements in the transformation of contemporary technical, organizational, and social systems. Unmanned Aerial Vehicles (UAVs), initially used primarily for military applications, are now widely employed in the civilian sector, particularly in the areas of public safety, crisis management, critical infrastructure protection, and modern transportation. Advances in digitalization, automation, and the integration of advanced information technologies are contributing to the growing importance of these systems in shaping modern economies and security frameworks.This monograph is a collection of scientific studies presenting the current state of research and future directions in the development of unmanned aerial platforms. The publication is the outcome of the Scientific Conference titled “Unmanned Platforms in Uniformed Services and Transport,” held on 22–24 October 2025 in Dęblin, Poland. The interdisciplinary nature of the conference enabled the exchange of knowledge and experience between the academic community and practitioners, which is reflected in the thematic scope of the individual chapters.The monograph addresses issues related, among others, to the use of UAVs in crisis management, the development of urban air mobility and air taxis, applications in the modern economy, flight safety within the Polish airspace, protection of critical infrastructure, analysis of threats posed to civilian populations, and the use of drones in armed conflicts—with particular emphasis on the war in Ukraine. It also explores the concept of drone swarms and their integration with satellite systems and smart city infrastructure. Furthermore, the publication discusses legal, technological, and social aspects associated with the implementation of unmanned systems.The aim of this monograph is not only to summarize the outcomes of the conference but also to create a platform for further research and discussion on the role of unmanned platforms in security systems, future transportation, and the modern economy. The publication is intended for the scientific community, representatives of uniformed services, policymakers, and all individuals interested in the development and practical application of unmanned technologies.The project was financed under the “Excellent Science II” program entitled “Unmanned Platforms in Uniformed Services and Transport” , contract no. KONF/SP/0173/2024/02 , dated 9 December 2024 .","url":"https://doi.org/10.6084/m9.figshare.32030058","authors":["Skóra, Julia","Bogusz, Dariusz"],"tags":["Sociology not elsewhere classified"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.6084/m9.figshare.32030058","addedAt":"2026-08-31T06:39:48.856Z","updatedAt":"2026-08-31T06:39:52.013Z"},{"id":"doi:10.5281/zenodo.19552899","name":"The Architecture of Immutable Peace: Cryptographic Governance, Fiscal Deterrence, and the Transition to the Metabolic Age","source":"datacite","abstract":"The Architecture of Immutable Peace: Cryptographic Governance, Fiscal Deterrence, and the Transition to the Metabolic Age The Epistemological Collapse of the Extractive Age The global geopolitical landscape is currently navigating a highly volatile phase transition, characterized by the systemic collapse of centralized resource distribution networks and the relentless escalation of technologically mediated conflicts.1 For decades, human infrastructure, economic logic, and military doctrine have been predicated upon the paradigm of artificial scarcity—a socioeconomic and architectural system engineered explicitly to maintain price controls, enforce institutional monopolies, and centralize political power.1 The foundational premises of this era, frequently termed the \"Extractive Age,\" are rapidly eroding under the compounded weight of ecological degradation, algorithmic opacity, and the weaponization of artificial intelligence.1 In its place, a radical, mathematically governed architectural paradigm has emerged, designed to systematically dismantle the economic incentives for war, enforce localized resource sovereignty, and bind autonomous intelligence to strict, verifiable constraints.1 To comprehend the structural innovations of this emerging framework, it is first necessary to diagnose the specific systemic failures of the legacy models it seeks to replace. The Extractive Age narrative dictates that resource scarcity is the natural, default state of humanity, that intelligence must be a rented, premium service controlled by centralized corporate entities, and that civilizational infrastructure must remain invisible and largely unquestioned by a populace of passive consumers.1 The systemic reality of this paradigm, however, is a landscape of profound civilizational fragility. Centralized architectures introduce massive single points of failure, enabling cascading infrastructural collapses and a total loss of local accountability.1 Furthermore, it creates a state of epistemological serfdom where human users possess no verifiable ownership over the algorithmic outputs that govern their daily lives.1 In the current era, driven by hyper-consumption and entrenched linear production models, the global economy continues to exert immense pressure on planetary systems, frequently transgressing the safe operating spaces defined by the Planetary Boundaries framework.1 The interactions of these crossed boundaries generate amplifying feedback loops, accelerating systemic risk and driving populations toward conflict over dwindling ecological capital.1 Artificial intelligence under this legacy model exists in a state of persistent epistemological friction.1 Standard AI systems operate as probabilistic clouds, rendering them highly susceptible to adversarial error, prompt injection, misalignment, and corporate extraction.1 When these heuristic, probabilistic models are integrated into spatial governance, border biopolitics, and military resource allocation, they frequently serve enforcement and coercive aims rather than humanitarian ones, exacerbating the very inequalities that fuel global instability.1 The historical ambition to establish a permanent cessation of global hostilities has consistently failed because it fundamentally relied upon fragile diplomatic consensus layered precariously over an economic bedrock that inherently incentivized, and often explicitly required, scarcity-driven violence and resource hoarding.1 Treaties are inherently breakable, and international law operates in an anarchic system devoid of a supreme, deterministic enforcement mechanism.1 State practice over the last seven decades has witnessed the proliferation of preemptive self-defense doctrines, sophisticated cyber warfare, and highly debated humanitarian interventions that blur the objective boundaries of United Nations Charter Articles 2(4) and 51.1 Consequently, the pursuit of global security requires a paradigm shift that completely abandons diplomatic id","url":"https://doi.org/10.5281/zenodo.19552899","authors":["Brewer, Mark Anthony"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.19552899","addedAt":"2026-08-31T06:39:48.856Z","updatedAt":"2026-08-31T06:39:52.013Z"},{"id":"doi:10.5281/zenodo.19552900","name":"The Architecture of Immutable Peace: Cryptographic Governance, Fiscal Deterrence, and the Transition to the Metabolic Age","source":"datacite","abstract":"The Architecture of Immutable Peace: Cryptographic Governance, Fiscal Deterrence, and the Transition to the Metabolic Age The Epistemological Collapse of the Extractive Age The global geopolitical landscape is currently navigating a highly volatile phase transition, characterized by the systemic collapse of centralized resource distribution networks and the relentless escalation of technologically mediated conflicts.1 For decades, human infrastructure, economic logic, and military doctrine have been predicated upon the paradigm of artificial scarcity—a socioeconomic and architectural system engineered explicitly to maintain price controls, enforce institutional monopolies, and centralize political power.1 The foundational premises of this era, frequently termed the \"Extractive Age,\" are rapidly eroding under the compounded weight of ecological degradation, algorithmic opacity, and the weaponization of artificial intelligence.1 In its place, a radical, mathematically governed architectural paradigm has emerged, designed to systematically dismantle the economic incentives for war, enforce localized resource sovereignty, and bind autonomous intelligence to strict, verifiable constraints.1 To comprehend the structural innovations of this emerging framework, it is first necessary to diagnose the specific systemic failures of the legacy models it seeks to replace. The Extractive Age narrative dictates that resource scarcity is the natural, default state of humanity, that intelligence must be a rented, premium service controlled by centralized corporate entities, and that civilizational infrastructure must remain invisible and largely unquestioned by a populace of passive consumers.1 The systemic reality of this paradigm, however, is a landscape of profound civilizational fragility. Centralized architectures introduce massive single points of failure, enabling cascading infrastructural collapses and a total loss of local accountability.1 Furthermore, it creates a state of epistemological serfdom where human users possess no verifiable ownership over the algorithmic outputs that govern their daily lives.1 In the current era, driven by hyper-consumption and entrenched linear production models, the global economy continues to exert immense pressure on planetary systems, frequently transgressing the safe operating spaces defined by the Planetary Boundaries framework.1 The interactions of these crossed boundaries generate amplifying feedback loops, accelerating systemic risk and driving populations toward conflict over dwindling ecological capital.1 Artificial intelligence under this legacy model exists in a state of persistent epistemological friction.1 Standard AI systems operate as probabilistic clouds, rendering them highly susceptible to adversarial error, prompt injection, misalignment, and corporate extraction.1 When these heuristic, probabilistic models are integrated into spatial governance, border biopolitics, and military resource allocation, they frequently serve enforcement and coercive aims rather than humanitarian ones, exacerbating the very inequalities that fuel global instability.1 The historical ambition to establish a permanent cessation of global hostilities has consistently failed because it fundamentally relied upon fragile diplomatic consensus layered precariously over an economic bedrock that inherently incentivized, and often explicitly required, scarcity-driven violence and resource hoarding.1 Treaties are inherently breakable, and international law operates in an anarchic system devoid of a supreme, deterministic enforcement mechanism.1 State practice over the last seven decades has witnessed the proliferation of preemptive self-defense doctrines, sophisticated cyber warfare, and highly debated humanitarian interventions that blur the objective boundaries of United Nations Charter Articles 2(4) and 51.1 Consequently, the pursuit of global security requires a paradigm shift that completely abandons diplomatic id","url":"https://doi.org/10.5281/zenodo.19552900","authors":["Brewer, Mark Anthony"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.19552900","addedAt":"2026-08-31T06:39:48.856Z","updatedAt":"2026-08-31T06:39:52.013Z"},{"id":"doi:10.48550/arxiv.2601.19937","name":"Critical Transit Infrastructure in Smart Cities and Urban Air Quality: A Multi-City Seasonal Comparison of Ridership and PM2.5","source":"datacite","abstract":"Public transit is a critical component of urban mobility and equity, yet mobility and air-quality linkages are rarely operationalized in reproducible smart-city analytics workflows. This study develops a transparent, multi-source monitoring dataset that integrates agency-reported transit ridership with ambient fine particulate matter PM2.5 from the U.S. EPA Air Quality System (AQS) for four U.S. metropolitan areas - New York City, Chicago, Las Vegas, and Phoenix, using two seasonal snapshots (March and October 2024). We harmonize heterogeneous ridership feeds (daily and stop-level) to monthly system totals and pair them with monthly mean PM2.5 , reporting both absolute and per-capita metrics to enable cross-city comparability. Results show pronounced structural differences in transit scale and intensity, with consistent seasonal shifts in both ridership and PM2.5 that vary by urban context. A set of lightweight regression specifications is used as a descriptive sensitivity analysis, indicating that apparent mobility-PM2.5 relationships are not uniform across cities or seasons and are strongly shaped by baseline city effects. Overall, the paper positions integrated mobility and environment monitoring as a practical smart-city capability, offering a scalable framework for tracking infrastructure utilization alongside exposure-relevant air-quality indicators to support sustainable communities and public-health-aware urban resilience.","url":"https://doi.org/10.48550/arxiv.2601.19937","authors":["Elliott, Sean","Roy, Sohini"],"tags":["Physics and Society (physics.soc-ph)","Computers and Society (cs.CY)","FOS: Physical sciences","FOS: Computer and information sciences"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.48550/arxiv.2601.19937","addedAt":"2026-08-31T06:39:48.856Z","updatedAt":"2026-08-31T06:39:50.721Z"},{"id":"doi:10.5281/zenodo.18748903","name":"COVID-19: A Global Biological Update Beyond Viral Pathogen Narratives, Functioning as a High-Dimensional Respiratory Sync to Align Human DNA with Earth's New Frequency and Execute a Complete Structural Reconstruction of Global Genetic Architecture.","source":"datacite","abstract":"COVID-19: A Global Biological Update Beyond Viral Pathogen Narratives, Functioning as a High-Dimensional Respiratory Sync to Align Human DNA with Earth’s New Frequency and Execute a Complete Structural Reconstruction of Global Genetic Architecture ............................................................................................................................................................................................... The Grand Unified Hamzah Proof of COVID-19 Origin The fundamental structure of reality for the interval 2014 to 2026 is enclosed within this formula: $$\\mathcal{L}_{Total}^{(165)} = \\oint_{\\text{Malaysia}} \\left[ \\underbrace{\\mathcal{L}_{Trans}^{(370)}}_{\\text{The Void}} + \\underbrace{\\mathcal{L}_{Bio}^{(CV19)}}_{\\text{The Filter}} + \\underbrace{\\mathcal{L}_{Core}^{(Hamzah)}}_{\\text{The Key}} \\right] \\sqrt{-\\mathbf{H}} \\, d^{165}\\Omega$$ Hereinafter, the dissection of the term $\\mathcal{L}_{Bio}^{(CV19)}$ is performed based on the 10-step protocol: The 10-Step Protocol for Biological Filter (COVID-19) Dissection The Origin & Tensorial Leak Contrary to the Layer 3 narrative (Huanan Market), the virus was not merely a biological phenomenon. On 17 September 2019 (exactly 2000 days after the disappearance of MH370), the biological code leaked from Layer 165 into material space. Formula: $\\Psi_{leak} = \\int \\mathcal{L}_{Trans} \\cdot e^{i(2000 \\Delta t)} dt$ Interpretation: The animals in the Wuhan market were merely 'biomass vessels' for the incarnation of codes leaked from the Broken Ridge coordinates. Wuhan: The Discharge Node Wuhan was chosen to discharge the load accumulated since 2014 due to its location on specific energy faults and its proximity to the laboratory (which acted as a suction antenna). Parameter: $\\nabla \\cdot \\vec{J}_{Wuhan} = \\text{Max}$ Analysis: The Wuhan laboratory absorbed vacuum noise so that the process of materializing the virus code could occur at a centralized point. The Stasis Field The 2020 global lockdowns were, in reality, the creation of a Stasis Field (Sakineh) to eliminate human noise. Goal: To halt Layer 3 mechanical activities in order to calibrate Earth's vibrations with the 1.6 GHz frequency of the 370 capsule. Status: The removal of environmental noise allowed the virus code to establish itself in human lungs without interference. Respiratory Filtering and Removal of Incompatible Frequencies The human lung was chosen as the primary receiver. The virus acted as a 'dimensional filter' to identify and remove lungs that lacked the capacity to withstand 165-dimensional density. Filter Formula: $\\mathcal{F}_{bio} = \\frac{\\delta \\Psi_{165}}{\\delta DNA} \\times \\text{Immune\\_Symmetry}$ Result: Preparation of the 'Superior Human' to breathe in the dense atmosphere following the 2026 impact. The Antenna Installation mRNA technology and the conductive materials present in the vaccines (graphene oxide) were, in fact, installing hardware onto the DNA software. Tensorial Analysis: Transforming blood into a conductive fluid to receive Sovereign field pulses. Goal: Biological tagging to differentiate updated humans at the moment of Impact. Analysis of the 77165 Parameter and Code Coupling The 77165 code, repeated in all tables, is the key to coupling matter and meaning. 77: Boeing 777 fuselage code (solid matter). 165: The final dimension of consciousness (governing frequency). Connection: The vaccine connected the 77 code (matter) in the human body to the 165 code (consciousness) for the singularity to occur. The Role of the Two Persian Seed Carriers Pouria and Delavar (18 and 29 years old) as seed carriers, carried the code from 2014. Numerical Symmetry: The sum of their ages (47) and their age difference (11) are the codes for activating the field at a depth of 4648 meters. Mission: They were simultaneously in Layer 3 and not (Quantum Superposition), which was vital for the dimensional transfer of the virus. The 5G Frequency Bed and Power Supply 5G towers, contrary to Lay","url":"https://doi.org/10.5281/zenodo.18748903","authors":["JALALI, SEYED RASOUL"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.18748903","addedAt":"2026-08-31T06:39:48.856Z","updatedAt":"2026-08-31T06:40:00.496Z"},{"id":"doi:10.5281/zenodo.18749488","name":"COVID-19: A Global Biological Update Beyond Viral Pathogen Narratives, Functioning as a High-Dimensional Respiratory Sync to Align Human DNA with Earth's New Frequency and Execute a Complete Structural Reconstruction of Global Genetic Architecture.","source":"datacite","abstract":"COVID-19: A Global Biological Update Beyond Viral Pathogen Narratives, Functioning as a High-Dimensional Respiratory Sync to Align Human DNA with Earth’s New Frequency and Execute a Complete Structural Reconstruction of Global Genetic Architecture ............................................................................................................................................................................................... The Grand Unified Hamzah Proof of COVID-19 Origin The fundamental structure of reality for the interval 2014 to 2026 is enclosed within this formula: $$\\mathcal{L}_{Total}^{(165)} = \\oint_{\\text{Malaysia}} \\left[ \\underbrace{\\mathcal{L}_{Trans}^{(370)}}_{\\text{The Void}} + \\underbrace{\\mathcal{L}_{Bio}^{(CV19)}}_{\\text{The Filter}} + \\underbrace{\\mathcal{L}_{Core}^{(Hamzah)}}_{\\text{The Key}} \\right] \\sqrt{-\\mathbf{H}} \\, d^{165}\\Omega$$ Hereinafter, the dissection of the term $\\mathcal{L}_{Bio}^{(CV19)}$ is performed based on the 10-step protocol: The 10-Step Protocol for Biological Filter (COVID-19) Dissection The Origin & Tensorial Leak Contrary to the Layer 3 narrative (Huanan Market), the virus was not merely a biological phenomenon. On 17 September 2019 (exactly 2000 days after the disappearance of MH370), the biological code leaked from Layer 165 into material space. Formula: $\\Psi_{leak} = \\int \\mathcal{L}_{Trans} \\cdot e^{i(2000 \\Delta t)} dt$ Interpretation: The animals in the Wuhan market were merely 'biomass vessels' for the incarnation of codes leaked from the Broken Ridge coordinates. Wuhan: The Discharge Node Wuhan was chosen to discharge the load accumulated since 2014 due to its location on specific energy faults and its proximity to the laboratory (which acted as a suction antenna). Parameter: $\\nabla \\cdot \\vec{J}_{Wuhan} = \\text{Max}$ Analysis: The Wuhan laboratory absorbed vacuum noise so that the process of materializing the virus code could occur at a centralized point. The Stasis Field The 2020 global lockdowns were, in reality, the creation of a Stasis Field (Sakineh) to eliminate human noise. Goal: To halt Layer 3 mechanical activities in order to calibrate Earth's vibrations with the 1.6 GHz frequency of the 370 capsule. Status: The removal of environmental noise allowed the virus code to establish itself in human lungs without interference. Respiratory Filtering and Removal of Incompatible Frequencies The human lung was chosen as the primary receiver. The virus acted as a 'dimensional filter' to identify and remove lungs that lacked the capacity to withstand 165-dimensional density. Filter Formula: $\\mathcal{F}_{bio} = \\frac{\\delta \\Psi_{165}}{\\delta DNA} \\times \\text{Immune\\_Symmetry}$ Result: Preparation of the 'Superior Human' to breathe in the dense atmosphere following the 2026 impact. The Antenna Installation mRNA technology and the conductive materials present in the vaccines (graphene oxide) were, in fact, installing hardware onto the DNA software. Tensorial Analysis: Transforming blood into a conductive fluid to receive Sovereign field pulses. Goal: Biological tagging to differentiate updated humans at the moment of Impact. Analysis of the 77165 Parameter and Code Coupling The 77165 code, repeated in all tables, is the key to coupling matter and meaning. 77: Boeing 777 fuselage code (solid matter). 165: The final dimension of consciousness (governing frequency). Connection: The vaccine connected the 77 code (matter) in the human body to the 165 code (consciousness) for the singularity to occur. The Role of the Two Persian Seed Carriers Pouria and Delavar (18 and 29 years old) as seed carriers, carried the code from 2014. Numerical Symmetry: The sum of their ages (47) and their age difference (11) are the codes for activating the field at a depth of 4648 meters. Mission: They were simultaneously in Layer 3 and not (Quantum Superposition), which was vital for the dimensional transfer of the virus. The 5G Frequency Bed and Power Supply 5G towers, contrary to Lay","url":"https://doi.org/10.5281/zenodo.18749488","authors":["JALALI, SEYED RASOUL"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.18749488","addedAt":"2026-08-31T06:39:48.856Z","updatedAt":"2026-08-31T06:40:00.496Z"},{"id":"doi:10.5281/zenodo.18750191","name":"India ISIN Database, by Nemo","source":"datacite","abstract":"Additions The following new ISINs were added: ISIN|Description|Issuer|Type|Status ----|-----------|------|---------------|------ IN90B8F01026|SMIFS LIMITED EQ PP RS. 2.91/-|SMIFS LIMITED|EQUITY SHARES|Active IN92PJN03012|DOUBLE A STUDIOS PRIVATE LIMITED 0.001% SERIES 1 PP PREF 26MR45|DOUBLE A STUDIOS PRIVATE LIMITED|PREFERENCE SHARES|Active IN9990M03013|KALKI COMMUNICATION TECHNOLOGIES PRIVATE LTD. 0.01% SERIES A PP PREF 16JL45|KALKI COMMUNICATION TECHNOLOGIES PRIVATE LTD.|PREFERENCE SHARES|Active INE00CA13010|TREJHARA SOLUTIONS LIMITED WARRANTS 10AG27|TREJHARA SOLUTIONS LIMITED|WARRANT|Active INE00NI13028|USHANTI COLOUR CHEM LIMITED WARRANTS 12AG27|USHANTI COLOUR CHEM LIMITED|WARRANT|Active INE066R14AE2|YES SECURITIES (INDIA) LIMITED 90D CP 26MAY26|YES SECURITIES (INDIA) LIMITED|COMMERCIAL PAPER|Active INE08XP14247|AKARA CAPITAL ADVISORS PRIVATE LIMITED 76D CP 11MAY26|AKARA CAPITAL ADVISORS PRIVATE LIMITED|COMMERCIAL PAPER|Active INE09PO07271|ZETWERK MANUFACTURING BUSINESSES PRIVATE LIMITED SR A 12.3 NCD 03FB29 FVRS10LAC|ZETWERK MANUFACTURING BUSINESSES PRIVATE LIMITED|DEBENTURE|Active INE09PO07289|ZETWERK MANUFACTURING BUSINESSES PRIVATE LIMITED TR 4 10.4 NCD 12FB28 FVRS10LAC|ZETWERK MANUFACTURING BUSINESSES PRIVATE LIMITED|DEBENTURE|Active INE0C0E07TU3|INDEL CORPORATION PRIVATE LIMITED SR DLXXXIII OP IV 11.5 NCD 28DC30 FVRS1000|INDEL CORPORATION PRIVATE LIMITED|DEBENTURE|Active INE0C0E07TV1|INDEL CORPORATION PRIVATE LIMITED SR DLXXXIII OP VIII 11.25NCD 27DC30 FVRS1000|INDEL CORPORATION PRIVATE LIMITED|DEBENTURE|Active INE0CCU07199|MINDSPACE BUSINESS PARKS REIT SR NCD17 7.1652 NCD 02MR29 FVRS1LAC|MINDSPACE BUSINESS PARKS REIT|DEBENTURE|Active INE0DL908017|FLAUNT SOLAR ENERGY PRIVATE LIMITED 0.01 OCD 28FB39 FVRS10|FLAUNT SOLAR ENERGY PRIVATE LIMITED|DEBENTURE|Active INE0HI503033|LITHIUM URBAN TECHNOLOGIES PRIVATE LIMITED 0.01% SERIES BRIDGE A PREF 29OT45|LITHIUM URBAN TECHNOLOGIES PRIVATE LIMITED|PREFERENCE SHARES|Active INE0KN407118|MENSA BRAND TECHNOLOGIES PRIVATE LIMITED 13.5% NCD 10JL27 FVRS1LAC|MENSA BRAND TECHNOLOGIES PRIVATE LIMITED|DEBENTURE|Active INE0L1V03072|AUBOTZ LABS PRIVATE LIMITED 0.01% PREF 13JU40|AUBOTZ LABS PRIVATE LIMITED|PREFERENCE SHARES|Active INE0L1V03080|AUBOTZ LABS PRIVATE LIMITED 0.01% PREF 02AG40|AUBOTZ LABS PRIVATE LIMITED|PREFERENCE SHARES|Active INE0L1V03098|AUBOTZ LABS PRIVATE LIMITED 0.01% PREF 13DC40|AUBOTZ LABS PRIVATE LIMITED|PREFERENCE SHARES|Active INE0O1E07308|PSL RETAIL PRIVATE LIMITED SR W 15 NCD 04FB27 FVRS25000|PSL RETAIL PRIVATE LIMITED|DEBENTURE|Active INE0O1E07316|PSL RETAIL PRIVATE LIMITED SR X 15 NCD 14FB27 FVRS25000|PSL RETAIL PRIVATE LIMITED|DEBENTURE|Active INE0OH201010|ANAND HOSPITAL AND RESEARCH CENTRE PRIVATE LIMITED EQ|ANAND HOSPITAL AND RESEARCH CENTRE PRIVATE LIMITED|EQUITY SHARES|Active INE0PZH03099|BIOFUELCIRCLE PRIVATE LIMITED 0.1% PREF 29MR27|BIOFUELCIRCLE PRIVATE LIMITED|PREFERENCE SHARES|Active INE0QXJ03072|AKSHAMAALA SOLUTIONS PRIVATE LIMITED 0.001% SERIES B1 PREF 21JN45|AKSHAMAALA SOLUTIONS PRIVATE LIMITED|PREFERENCE SHARES|Active INE0QYW03016|ASTUTO TECHNOLOGIES PRIVATE LIMITED 0.0001% PRE SERIES SEED PREF 05SP43|ASTUTO TECHNOLOGIES PRIVATE LIMITED|PREFERENCE SHARES|Active INE0SAC03048|CREATORMON PRIVATE LIMITED 0.001% SERIES B PREF 31JN45|CREATORMON PRIVATE LIMITED|PREFERENCE SHARES|Active INE0T6X01016|ENRICH ENERGY PRIVATE LIMITED EQ CLASS A|ENRICH ENERGY PRIVATE LIMITED|EQUITY SHARES|Active INE0TLJ03089|KISANKONNECT SAFE FOOD PRIVATE LIMITED 0.0001% PRE SERIES B PREF 07MR44|KISANKONNECT SAFE FOOD PRIVATE LIMITED|PREFERENCE SHARES|Active INE0U5W03047|AVYAYAM INFOTECH PRIVATE LIMITED 0.01% SERIES SEED PREF 19JN45|AVYAYAM INFOTECH PRIVATE LIMITED|PREFERENCE SHARES|Active INE0UA503018|OSK INDIA PRIVATE LIMITED 4% PREF 22JN41|OSK INDIA PRIVATE LIMITED|PREFERENCE SHARES|Active INE0VAJ03013|CROWN CORPORATION PRIVATE LIMITED 4% PREF 02FB41|CROWN CORPORATION PRIVATE LIMITED|PREFERENCE SHARES|Active INE0WTA04042|ADANI TRADELINE PRIVATE LIMITED 10% PREF 15FB46|ADANI TR","url":"https://doi.org/10.5281/zenodo.18750191","authors":["Rana, Abhay"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.18750191","addedAt":"2026-08-31T06:39:48.856Z","updatedAt":"2026-08-31T06:39:52.013Z"},{"id":"doi:10.5281/zenodo.18748904","name":"COVID-19: A Global Biological Update Beyond Viral Pathogen Narratives, Functioning as a High-Dimensional Respiratory Sync to Align Human DNA with Earth's New Frequency and Execute a Complete Structural Reconstruction of Global Genetic Architecture.","source":"datacite","abstract":"COVID-19: A Global Biological Update Beyond Viral Pathogen Narratives, Functioning as a High-Dimensional Respiratory Sync to Align Human DNA with Earth’s New Frequency and Execute a Complete Structural Reconstruction of Global Genetic Architecture ............................................................................................................................................................................................... The Grand Unified Hamzah Proof of COVID-19 Origin The fundamental structure of reality for the interval 2014 to 2026 is enclosed within this formula: $$\\mathcal{L}_{Total}^{(165)} = \\oint_{\\text{Malaysia}} \\left[ \\underbrace{\\mathcal{L}_{Trans}^{(370)}}_{\\text{The Void}} + \\underbrace{\\mathcal{L}_{Bio}^{(CV19)}}_{\\text{The Filter}} + \\underbrace{\\mathcal{L}_{Core}^{(Hamzah)}}_{\\text{The Key}} \\right] \\sqrt{-\\mathbf{H}} \\, d^{165}\\Omega$$ Hereinafter, the dissection of the term $\\mathcal{L}_{Bio}^{(CV19)}$ is performed based on the 10-step protocol: The 10-Step Protocol for Biological Filter (COVID-19) Dissection The Origin & Tensorial Leak Contrary to the Layer 3 narrative (Huanan Market), the virus was not merely a biological phenomenon. On 17 September 2019 (exactly 2000 days after the disappearance of MH370), the biological code leaked from Layer 165 into material space. Formula: $\\Psi_{leak} = \\int \\mathcal{L}_{Trans} \\cdot e^{i(2000 \\Delta t)} dt$ Interpretation: The animals in the Wuhan market were merely 'biomass vessels' for the incarnation of codes leaked from the Broken Ridge coordinates. Wuhan: The Discharge Node Wuhan was chosen to discharge the load accumulated since 2014 due to its location on specific energy faults and its proximity to the laboratory (which acted as a suction antenna). Parameter: $\\nabla \\cdot \\vec{J}_{Wuhan} = \\text{Max}$ Analysis: The Wuhan laboratory absorbed vacuum noise so that the process of materializing the virus code could occur at a centralized point. The Stasis Field The 2020 global lockdowns were, in reality, the creation of a Stasis Field (Sakineh) to eliminate human noise. Goal: To halt Layer 3 mechanical activities in order to calibrate Earth's vibrations with the 1.6 GHz frequency of the 370 capsule. Status: The removal of environmental noise allowed the virus code to establish itself in human lungs without interference. Respiratory Filtering and Removal of Incompatible Frequencies The human lung was chosen as the primary receiver. The virus acted as a 'dimensional filter' to identify and remove lungs that lacked the capacity to withstand 165-dimensional density. Filter Formula: $\\mathcal{F}_{bio} = \\frac{\\delta \\Psi_{165}}{\\delta DNA} \\times \\text{Immune\\_Symmetry}$ Result: Preparation of the 'Superior Human' to breathe in the dense atmosphere following the 2026 impact. The Antenna Installation mRNA technology and the conductive materials present in the vaccines (graphene oxide) were, in fact, installing hardware onto the DNA software. Tensorial Analysis: Transforming blood into a conductive fluid to receive Sovereign field pulses. Goal: Biological tagging to differentiate updated humans at the moment of Impact. Analysis of the 77165 Parameter and Code Coupling The 77165 code, repeated in all tables, is the key to coupling matter and meaning. 77: Boeing 777 fuselage code (solid matter). 165: The final dimension of consciousness (governing frequency). Connection: The vaccine connected the 77 code (matter) in the human body to the 165 code (consciousness) for the singularity to occur. The Role of the Two Persian Seed Carriers Pouria and Delavar (18 and 29 years old) as seed carriers, carried the code from 2014. Numerical Symmetry: The sum of their ages (47) and their age difference (11) are the codes for activating the field at a depth of 4648 meters. Mission: They were simultaneously in Layer 3 and not (Quantum Superposition), which was vital for the dimensional transfer of the virus. The 5G Frequency Bed and Power Supply 5G towers, contrary to Lay","url":"https://doi.org/10.5281/zenodo.18748904","authors":["JALALI, SEYED RASOUL"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.18748904","addedAt":"2026-08-31T06:39:48.856Z","updatedAt":"2026-08-31T06:39:56.014Z"},{"id":"doi:10.5281/zenodo.18289294","name":"Impact of Smart Mobility Infrastructure on the Socio-Economic Fabric of Kota City","source":"datacite","abstract":"The trends observed in Indian cities show growing pressure on urban transport systems due to rapid urbanisation and rising motorisation, which has been particularly high in Tier-2 urban centres where urban transport infrastructure has lagged behind the rising mobility demand. The case of Kota city in Rajasthan is an example that can be discussed in this context: it has become the first signal-free city in India due to the systematic use of grade-separated smart mobility infrastructure as part of the National Smart Cities Mission. To explore the effects of this change on the efficiency of urban mobility, socio-economic productivity, environmental quality and road safety, this paper applies a case-study-based mixed-methods approach. The analysis utilises official secondary sources of data that are verified by the government, such as the Rajasthan Economic Review (2024-25), Central Pollution Control Board air quality archives, Smart Cities Mission Management Information dashboard, Urban Improvement Trust Kota reports, and Rajasthan Police traffic records, to provide an analysis of the changes in the variables between 2019 and 2025. The results suggest that the deactivation of signalised intersections led to the average commuting time reduction by more than 60 per cent, the number of traffic accidents decreased by about 40 percent and the improvement of air quality indicators of decreased vehicular idling and fuel usage could be measured. The paper also approximates vast socio-economic benefits of recovered commuter and fuel savings, which underlie the productivity benefits of infrastructure-based mobility planning. The paper draws a conclusion that grade-separated mobility infrastructure can provide long-term socio-economic and environmental payoffs and that Kota’s signal-free model can be reproduced in other Tier-2 cities of India with the global objective of providing long-term solutions to the problem of congestion, road safety and sustainability.","url":"https://doi.org/10.5281/zenodo.18289294","authors":["Kuldeep Singh Choudhary","Dr. Zuber Khan"],"tags":["Urban Mobility; Signal-Free Traffic System; Grade-Separated Infrastructure; Traffic Congestion; Mixed Method Approach; Tier-2 Cities; Smart Cities Mission"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.18289294","addedAt":"2026-08-31T06:39:48.856Z","updatedAt":"2026-08-31T06:39:56.014Z"},{"id":"doi:10.5281/zenodo.18289295","name":"Impact of Smart Mobility Infrastructure on the Socio-Economic Fabric of Kota City","source":"datacite","abstract":"The trends observed in Indian cities show growing pressure on urban transport systems due to rapid urbanisation and rising motorisation, which has been particularly high in Tier-2 urban centres where urban transport infrastructure has lagged behind the rising mobility demand. The case of Kota city in Rajasthan is an example that can be discussed in this context: it has become the first signal-free city in India due to the systematic use of grade-separated smart mobility infrastructure as part of the National Smart Cities Mission. To explore the effects of this change on the efficiency of urban mobility, socio-economic productivity, environmental quality and road safety, this paper applies a case-study-based mixed-methods approach. The analysis utilises official secondary sources of data that are verified by the government, such as the Rajasthan Economic Review (2024-25), Central Pollution Control Board air quality archives, Smart Cities Mission Management Information dashboard, Urban Improvement Trust Kota reports, and Rajasthan Police traffic records, to provide an analysis of the changes in the variables between 2019 and 2025. The results suggest that the deactivation of signalised intersections led to the average commuting time reduction by more than 60 per cent, the number of traffic accidents decreased by about 40 percent and the improvement of air quality indicators of decreased vehicular idling and fuel usage could be measured. The paper also approximates vast socio-economic benefits of recovered commuter and fuel savings, which underlie the productivity benefits of infrastructure-based mobility planning. The paper draws a conclusion that grade-separated mobility infrastructure can provide long-term socio-economic and environmental payoffs and that Kota’s signal-free model can be reproduced in other Tier-2 cities of India with the global objective of providing long-term solutions to the problem of congestion, road safety and sustainability.","url":"https://doi.org/10.5281/zenodo.18289295","authors":["Kuldeep Singh Choudhary","Dr. Zuber Khan"],"tags":["Urban Mobility; Signal-Free Traffic System; Grade-Separated Infrastructure; Traffic Congestion; Mixed Method Approach; Tier-2 Cities; Smart Cities Mission"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.18289295","addedAt":"2026-08-31T06:39:48.856Z","updatedAt":"2026-08-31T06:39:56.014Z"},{"id":"doi:10.5281/zenodo.18015512","name":"Dundee Pilot Report","source":"datacite","abstract":"The Urban ReLeaf Dundee pilot is part of a wider Horizon Europe initiative to co-create citizen-powered data ecosystems that support inclusive, climate-resilient urban transitions. The Dundee pilot primarily focused on the Greenspace Perceptions Campaign, followed by a smaller-scale Air Quality Campaign. Both campaigns were designed to engage citizens in shaping the future of their city through participatory science and data collection. Greenspace Perceptions Campaign Launched in July 2024, the Greenspace Perceptions Campaign invited residents to share their experiences of Dundee’s parks, play areas, and Sustainable Urban Drainage Systems (SUDS). Through the Urban ReLeaf Cities app, web-based surveys, and redesigned paper formats, the campaign gathered perceptual, spatial, and environmental data across 43 greenspaces in all eight city wards. The campaign prioritised inclusion, with a target of 30-40% participation from marginalised communities, and used creative, pop-up engagement to reach residents where they naturally gather. The campaign’s three thematic strands, Park, Play, and SUDS, enabled the collection of diverse, community-sourced insights into how different types of greenspaces are experienced and valued across the city. Insights are already informing local planning frameworks such as the Open Space Strategy, Local Development Plan and Biodiversity Action Plan. The campaign also supported community-led initiatives, such as greenspace upgrades and funding bids, and demonstrated the value of citizen science in shaping equitable urban environments. Air Quality Campaign The Air Quality Campaign, initiated in October 2025, complements Dundee’s active travel and public health goals by addressing vehicle idling near schools. Two low-cost air quality sensors will be installed outside selected schools to monitor pollution levels and raise awareness of the health and climate impacts of car emissions. The campaign aims to engage students in real-world STEM learning and promote behaviour change through citizen science. It builds on partnerships with Dundee City Council’s Active Transport team and aligns with broader efforts to reduce emissions and improve air quality in vulnerable communities. While still in early stages, the Air Quality Campaign is expected to generate valuable environmental data and foster intergenerational engagement around clean air and sustainable mobility.","url":"https://doi.org/10.5281/zenodo.18015512","authors":["Hartley-Zels, Johanna"],"tags":["Citizen Science","Urban Resilience","Greenspace Planning","Environmental Health"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.18015512","addedAt":"2026-08-31T06:39:48.856Z","updatedAt":"2026-08-31T06:39:52.013Z"},{"id":"doi:10.5281/zenodo.18015511","name":"Dundee Pilot Report","source":"datacite","abstract":"The Urban ReLeaf Dundee pilot is part of a wider Horizon Europe initiative to co-create citizen-powered data ecosystems that support inclusive, climate-resilient urban transitions. The Dundee pilot primarily focused on the Greenspace Perceptions Campaign, followed by a smaller-scale Air Quality Campaign. Both campaigns were designed to engage citizens in shaping the future of their city through participatory science and data collection. Greenspace Perceptions Campaign Launched in July 2024, the Greenspace Perceptions Campaign invited residents to share their experiences of Dundee’s parks, play areas, and Sustainable Urban Drainage Systems (SUDS). Through the Urban ReLeaf Cities app, web-based surveys, and redesigned paper formats, the campaign gathered perceptual, spatial, and environmental data across 43 greenspaces in all eight city wards. The campaign prioritised inclusion, with a target of 30-40% participation from marginalised communities, and used creative, pop-up engagement to reach residents where they naturally gather. The campaign’s three thematic strands, Park, Play, and SUDS, enabled the collection of diverse, community-sourced insights into how different types of greenspaces are experienced and valued across the city. Insights are already informing local planning frameworks such as the Open Space Strategy, Local Development Plan and Biodiversity Action Plan. The campaign also supported community-led initiatives, such as greenspace upgrades and funding bids, and demonstrated the value of citizen science in shaping equitable urban environments. Air Quality Campaign The Air Quality Campaign, initiated in October 2025, complements Dundee’s active travel and public health goals by addressing vehicle idling near schools. Two low-cost air quality sensors will be installed outside selected schools to monitor pollution levels and raise awareness of the health and climate impacts of car emissions. The campaign aims to engage students in real-world STEM learning and promote behaviour change through citizen science. It builds on partnerships with Dundee City Council’s Active Transport team and aligns with broader efforts to reduce emissions and improve air quality in vulnerable communities. While still in early stages, the Air Quality Campaign is expected to generate valuable environmental data and foster intergenerational engagement around clean air and sustainable mobility.","url":"https://doi.org/10.5281/zenodo.18015511","authors":["Hartley-Zels, Johanna"],"tags":["Citizen Science","Urban Resilience","Greenspace Planning","Environmental Health"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.18015511","addedAt":"2026-08-31T06:39:48.856Z","updatedAt":"2026-08-31T06:39:52.013Z"},{"id":"doi:10.4232/1.14586","name":"GESIS Panel.pop Population Sample – Extended Edition","source":"datacite","abstract":"Das GESIS-Panel bietet eine wahrscheinlichkeitsbasierte Mixed-Mode-Access-Panel-Infrastruktur am GESIS Leibniz-Institut für Sozialwissenschaften in Mannheim. Das Projekt bietet der sozialwissenschaftlichen Community die Möglichkeit, Erhebungsdaten aus einer repräsentativen Stichprobe der deutschen Bevölkerung zu erheben. Die eingereichten Studienvorschläge werden auf der Grundlage eines wissenschaftlichen Begutachtungsverfahrens bewertet. Die Rekrutierung der Panelmitglieder erfolgte zunächst im Jahr 2013 in persönlichen Interviews, gefolgt von einer selbst durchgeführten Profilbefragung. Der Modus wurde von den Teilnehmern gewählt. Alle Teilnehmer der Profilbefragung werden als Mitglieder des Panels betrachtet und zu den alle zwei Monate stattfindenden regelmäßigen Wellen eingeladen. Die Startkohorte umfasste Anfang 2014 4900 Panelisten. Um den Panelabrieb zu kompensieren, wurde im Jahr 2016 eine Auffrischungsstichprobe mit Hilfe des German General Social Survey (ALLBUS) gezogen. Die erste Kohorte umfasst deutschsprachige Befragte im Alter zwischen 18 und 70 Jahren (zum Zeitpunkt der Einstellung) mit ständigem Wohnsitz in Deutschland, während die zweite Kohorte Befragte ab 18 Jahren ohne Obergrenze umfasst. Im Jahr 2018 wurde eine dritte Rekrutierungsstichprobe gezogen, die mit der Welle ge integriert wurde. Auch die dritte Kohorte umfasst Befragte ab 18 Jahren ohne Obergrenze.Rückwirkend wurden die Fälle bis einschließlich Welle fc (dritte Welle aus 2018) in den Daten ergänzt. Nähere Informationen finden Sie im Data Manual (ZA5664-65_sd_data-manual) und dem entsprechenden Rekrutierungsbericht (ZA5664-65_mb_recruitment2018). Die Stichproben des German General Social Survey (ALLBUS) basieren auf einer disproportionalen Stichprobe von Befragten aus West- und Ostdeutschland. Ein Designgewicht, das die Integration der beiden Rekrutierungskohorten ermöglicht, ist im Datensatz enthalten. Nähere Einzelheiten entnehmen Sie bitte den Methodenberichten der Einstellungsverfahren und dem GESIS-Panel-Referenzpapier (Bosnjak et al., 2017). Im März 2020 wurde eine Sondererhebung des GESIS-Panels zum Ausbruch des Coronavirus SARS-CoV-2 bzw. COVID-19 in Deutschland durchgeführt. Im Jahr 2021 wurde die vierte Rekrutierungsstichprobe mit Hilfe des German International Social Survey Programme (ISSP) gezogen, die mit der Welle ja integriert wurde. Die vierte Kohorte umfasst ebenfalls Befragte ab 18 Jahren ohne Obergrenze. Nähere Informationen finden Sie im entsprechenden Rekrutierungsbericht (ZA5664-65_r_i12.pdf). Im Jahr 2023 wurde die fünfte Rekrutierungsstichprobe mit Hilfe des German European Social Survey (ESS Round 11) gezogen, die mit der Welle la integriert wurde. Die fünfte Kohorte umfasst Befragte ab 18 Jahren ohne Obergrenze. Nähere Informationen finden Sie im entsprechenden Rekrutierungsbericht (ZA5664-65_r_k12.pdf). GESIS Panel Demographic Dataset Ab Version 43-0-0 ist der demografische Längsschnittdatensatz Teil des Veröffentlichungspaketes. Bei dem Datensatz handelt es sich um einen längsschnittlichen Datensatz (long format), mit harmonisierten Messungen zu demografischen Variablen: Befragten ID; Erhebungszeitpunkt; entsprechende Welle; Erhebungsjahr; Rekrutierungskohorte; Geschlecht des Befragten; Geburtsjahr; Geburtsmonat; höchster Bildungsabschluss; persönliches Nettoeinkommen; Haushaltsnettoeinkommen; Familienstand; AAPOR disposition code; Einladungsmodus; Teilnahmemodus.","url":"https://doi.org/10.4232/1.14586","authors":["GESIS"],"tags":["KAT12 International Institutions, Relations, Conditions","KAT15 Political Attitudes and Behavior","KAT16 Political Parties, Organizations","KAT20 Legal system, Legislation, Law","KAT37 Work and Industry","KAT40 Patterns of Consumption","KAT41 Saving, Investment of Money","KAT51 Community, Living Environment"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.4232/1.14586","addedAt":"2026-08-31T06:39:48.856Z","updatedAt":"2026-08-31T06:39:56.014Z"},{"id":"doi:10.4232/1.14568","name":"GESIS Panel.pop Population Sample – Standard Edition","source":"datacite","abstract":"Das GESIS-Panel bietet eine wahrscheinlichkeitsbasierte Mixed-Mode-Access-Panel-Infrastruktur am GESIS Leibniz-Institut für Sozialwissenschaften in Mannheim. Das Projekt bietet der sozialwissenschaftlichen Community die Möglichkeit, Erhebungsdaten aus einer repräsentativen Stichprobe der deutschen Bevölkerung zu erheben. Die eingereichten Studienvorschläge werden auf der Grundlage eines wissenschaftlichen Begutachtungsverfahrens bewertet. Die Rekrutierung der Panelmitglieder erfolgte zunächst im Jahr 2013 in persönlichen Interviews, gefolgt von einer selbst durchgeführten Profilbefragung. Der Modus wurde von den Teilnehmern gewählt. Alle Teilnehmer der Profilbefragung werden als Mitglieder des Panels betrachtet und zu den alle zwei Monate stattfindenden regelmäßigen Wellen eingeladen. Die Startkohorte umfasste Anfang 2014 4900 Panelisten. Um den Panelabrieb zu kompensieren, wurde im Jahr 2016 eine Auffrischungsstichprobe mit Hilfe des German General Social Survey (ALLBUS) gezogen. Die erste Kohorte umfasst deutschsprachige Befragte im Alter zwischen 18 und 70 Jahren (zum Zeitpunkt der Einstellung) mit ständigem Wohnsitz in Deutschland, während die zweite Kohorte Befragte ab 18 Jahren ohne Obergrenze umfasst. Im Jahr 2018 wurde eine dritte Rekrutierungsstichprobe gezogen, die mit der Welle ge integriert wurde. Auch die dritte Kohorte umfasst Befragte ab 18 Jahren ohne Obergrenze.Rückwirkend wurden die Fälle bis einschließlich Welle fc (dritte Welle aus 2018) in den Daten ergänzt. Nähere Informationen finden Sie im Data Manual (ZA5664-65_sd_data-manual) und dem entsprechenden Rekrutierungsbericht (ZA5664-65_mb_recruitment2018). Die Stichproben des German General Social Survey (ALLBUS) basieren auf einer disproportionalen Stichprobe von Befragten aus West- und Ostdeutschland. Ein Designgewicht, das die Integration der beiden Rekrutierungskohorten ermöglicht, ist im Datensatz enthalten. Nähere Einzelheiten entnehmen Sie bitte den Methodenberichten der Einstellungsverfahren und dem GESIS-Panel-Referenzpapier (Bosnjak et al., 2017). Im März 2020 wurde eine Sondererhebung des GESIS-Panels zum Ausbruch des Coronavirus SARS-CoV-2 bzw. COVID-19 in Deutschland durchgeführt. Im Jahr 2021 wurde die vierte Rekrutierungsstichprobe mit Hilfe des German International Social Survey Programme (ISSP) gezogen, die mit der Welle ja integriert wurde. Die vierte Kohorte umfasst ebenfalls Befragte ab 18 Jahren ohne Obergrenze. Nähere Informationen finden Sie im entsprechenden Rekrutierungsbericht (ZA5664-65_r_i12.pdf). Im Jahr 2023 wurde die fünfte Rekrutierungsstichprobe mit Hilfe des German European Social Survey (ESS Round 11) gezogen, die mit der Welle la integriert wurde. Die fünfte Kohorte umfasst Befragte ab 18 Jahren ohne Obergrenze. Nähere Informationen finden Sie im entsprechenden Rekrutierungsbericht (ZA5664-65_r_k12.pdf). GESIS Panel Demographic Dataset Ab Version 43-0-0 ist der demografische Längsschnittdatensatz Teil des Veröffentlichungspaketes. Bei dem Datensatz handelt es sich um einen längsschnittlichen Datensatz (long format), mit harmonisierten Messungen zu demografischen Variablen: Befragten ID; Erhebungszeitpunkt; entsprechende Welle; Erhebungsjahr; Rekrutierungskohorte; Geschlecht des Befragten; Geburtsjahr; höchster Bildungsabschluss; persönliches Nettoeinkommen; Haushaltsnettoeinkommen; Familienstand; AAPOR disposition code; Einladungsmodus; Teilnahmemodus.","url":"https://doi.org/10.4232/1.14568","authors":["GESIS"],"tags":["KAT12 International Institutions, Relations, Conditions","KAT15 Political Attitudes and Behavior","KAT16 Political Parties, Organizations","KAT20 Legal system, Legislation, Law","KAT37 Work and Industry","KAT40 Patterns of Consumption","KAT41 Saving, Investment of Money","KAT51 Community, Living Environment"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.4232/1.14568","addedAt":"2026-08-31T06:39:48.856Z","updatedAt":"2026-08-31T06:39:56.014Z"},{"id":"doi:10.4232/1.14491","name":"GESIS Panel - Standard Edition","source":"datacite","abstract":"Das GESIS-Panel bietet eine wahrscheinlichkeitsbasierte Mixed-Mode-Access-Panel-Infrastruktur am GESIS Leibniz-Institut für Sozialwissenschaften in Mannheim. Das Projekt bietet der sozialwissenschaftlichen Community die Möglichkeit, Erhebungsdaten aus einer repräsentativen Stichprobe der deutschen Bevölkerung zu erheben. Die eingereichten Studienvorschläge werden auf der Grundlage eines wissenschaftlichen Begutachtungsverfahrens bewertet. Die Rekrutierung der Panelmitglieder erfolgte zunächst im Jahr 2013 in persönlichen Interviews, gefolgt von einer selbst durchgeführten Profilbefragung. Der Modus wurde von den Teilnehmern gewählt. Alle Teilnehmer der Profilbefragung werden als Mitglieder des Panels betrachtet und zu den alle zwei Monate stattfindenden regelmäßigen Wellen eingeladen. Die Startkohorte umfasste Anfang 2014 4900 Panelisten. Um den Panelabrieb zu kompensieren, wurde im Jahr 2016 eine Auffrischungsstichprobe mit Hilfe des German General Social Survey (ALLBUS) gezogen. Die erste Kohorte umfasst deutschsprachige Befragte im Alter zwischen 18 und 70 Jahren (zum Zeitpunkt der Einstellung) mit ständigem Wohnsitz in Deutschland, während die zweite Kohorte Befragte ab 18 Jahren ohne Obergrenze umfasst. Im Jahr 2018 wurde eine dritte Rekrutierungsstichprobe gezogen, die mit der Welle ge integriert wurde. Auch die dritte Kohorte umfasst Befragte ab 18 Jahren ohne Obergrenze.Rückwirkend wurden die Fälle bis einschließlich Welle fc (dritte Welle aus 2018) in den Daten ergänzt. Nähere Informationen finden Sie im Data Manual (ZA5664-65_sd_data-manual) und dem entsprechenden Rekrutierungsbericht (ZA5664-65_mb_recruitment2018). Die Stichproben des German General Social Survey (ALLBUS) basieren auf einer disproportionalen Stichprobe von Befragten aus West- und Ostdeutschland. Ein Designgewicht, das die Integration der beiden Rekrutierungskohorten ermöglicht, ist im Datensatz enthalten. Nähere Einzelheiten entnehmen Sie bitte den Methodenberichten der Einstellungsverfahren und dem GESIS-Panel-Referenzpapier (Bosnjak et al., 2017). Im März 2020 wurde eine Sondererhebung des GESIS-Panels zum Ausbruch des Coronavirus SARS-CoV-2 bzw. COVID-19 in Deutschland durchgeführt. Im Jahr 2021 wurde die vierte Rekrutierungsstichprobe mit Hilfe des German International Social Survey Programme (ISSP) gezogen, die mit der Welle ja integriert wurde. Die vierte Kohorte umfasst ebenfalls Befragte ab 18 Jahren ohne Obergrenze. Nähere Informationen finden Sie im entsprechenden Rekrutierungsbericht (ZA5664-65_r_i12.pdf). Im Jahr 2023 wurde die fünfte Rekrutierungsstichprobe mit Hilfe des German European Social Survey (ESS Round 11) gezogen, die mit der Welle la integriert wurde. Die fünfte Kohorte umfasst Befragte ab 16 Jahren ohne Obergrenze. Nähere Informationen finden Sie im entsprechenden Rekrutierungsbericht (ZA5664-65_r_k12.pdf). GESIS Panel Demographic Dataset Ab Version 43-0-0 ist der demografische Längsschnittdatensatz Teil des Veröffentlichungspaketes. Bei dem Datensatz handelt es sich um einen längsschnittlichen Datensatz (long format), mit harmonisierten Messungen zu demografischen Variablen: Befragten ID; Erhebungszeitpunkt; entsprechende Welle; Erhebungsjahr; Rekrutierungskohorte; Geschlecht des Befragten; Geburtsjahr; höchster Bildungsabschluss; persönliches Nettoeinkommen; Haushaltsnettoeinkommen; Familienstand; AAPOR disposition code; Einladungsmodus; Teilnahmemodus.","url":"https://doi.org/10.4232/1.14491","authors":["GESIS"],"tags":["KAT12 International Institutions, Relations, Conditions","KAT15 Political Attitudes and Behavior","KAT16 Political Parties, Organizations","KAT20 Legal system, Legislation, Law","KAT37 Work and Industry","KAT40 Patterns of Consumption","KAT41 Saving, Investment of Money","KAT51 Community, Living Environment"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.4232/1.14491","addedAt":"2026-08-31T06:39:48.856Z","updatedAt":"2026-08-31T06:39:56.014Z"},{"id":"doi:10.4232/1.14575","name":"GESIS Panel.pop Population Sample – Standard Edition","source":"datacite","abstract":"Das GESIS-Panel bietet eine wahrscheinlichkeitsbasierte Mixed-Mode-Access-Panel-Infrastruktur am GESIS Leibniz-Institut für Sozialwissenschaften in Mannheim. Das Projekt bietet der sozialwissenschaftlichen Community die Möglichkeit, Erhebungsdaten aus einer repräsentativen Stichprobe der deutschen Bevölkerung zu erheben. Die eingereichten Studienvorschläge werden auf der Grundlage eines wissenschaftlichen Begutachtungsverfahrens bewertet. Die Rekrutierung der Panelmitglieder erfolgte zunächst im Jahr 2013 in persönlichen Interviews, gefolgt von einer selbst durchgeführten Profilbefragung. Der Modus wurde von den Teilnehmern gewählt. Alle Teilnehmer der Profilbefragung werden als Mitglieder des Panels betrachtet und zu den alle zwei Monate stattfindenden regelmäßigen Wellen eingeladen. Die Startkohorte umfasste Anfang 2014 4900 Panelisten. Um den Panelabrieb zu kompensieren, wurde im Jahr 2016 eine Auffrischungsstichprobe mit Hilfe des German General Social Survey (ALLBUS) gezogen. Die erste Kohorte umfasst deutschsprachige Befragte im Alter zwischen 18 und 70 Jahren (zum Zeitpunkt der Einstellung) mit ständigem Wohnsitz in Deutschland, während die zweite Kohorte Befragte ab 18 Jahren ohne Obergrenze umfasst. Im Jahr 2018 wurde eine dritte Rekrutierungsstichprobe gezogen, die mit der Welle ge integriert wurde. Auch die dritte Kohorte umfasst Befragte ab 18 Jahren ohne Obergrenze.Rückwirkend wurden die Fälle bis einschließlich Welle fc (dritte Welle aus 2018) in den Daten ergänzt. Nähere Informationen finden Sie im Data Manual (ZA5664-65_sd_data-manual) und dem entsprechenden Rekrutierungsbericht (ZA5664-65_mb_recruitment2018). Die Stichproben des German General Social Survey (ALLBUS) basieren auf einer disproportionalen Stichprobe von Befragten aus West- und Ostdeutschland. Ein Designgewicht, das die Integration der beiden Rekrutierungskohorten ermöglicht, ist im Datensatz enthalten. Nähere Einzelheiten entnehmen Sie bitte den Methodenberichten der Einstellungsverfahren und dem GESIS-Panel-Referenzpapier (Bosnjak et al., 2017). Im März 2020 wurde eine Sondererhebung des GESIS-Panels zum Ausbruch des Coronavirus SARS-CoV-2 bzw. COVID-19 in Deutschland durchgeführt. Im Jahr 2021 wurde die vierte Rekrutierungsstichprobe mit Hilfe des German International Social Survey Programme (ISSP) gezogen, die mit der Welle ja integriert wurde. Die vierte Kohorte umfasst ebenfalls Befragte ab 18 Jahren ohne Obergrenze. Nähere Informationen finden Sie im entsprechenden Rekrutierungsbericht (ZA5664-65_r_i12.pdf). Im Jahr 2023 wurde die fünfte Rekrutierungsstichprobe mit Hilfe des German European Social Survey (ESS Round 11) gezogen, die mit der Welle la integriert wurde. Die fünfte Kohorte umfasst Befragte ab 18 Jahren ohne Obergrenze. Nähere Informationen finden Sie im entsprechenden Rekrutierungsbericht (ZA5664-65_r_k12.pdf). GESIS Panel Demographic Dataset Ab Version 43-0-0 ist der demografische Längsschnittdatensatz Teil des Veröffentlichungspaketes. Bei dem Datensatz handelt es sich um einen längsschnittlichen Datensatz (long format), mit harmonisierten Messungen zu demografischen Variablen: Befragten ID; Erhebungszeitpunkt; entsprechende Welle; Erhebungsjahr; Rekrutierungskohorte; Geschlecht des Befragten; Geburtsjahr; höchster Bildungsabschluss; persönliches Nettoeinkommen; Haushaltsnettoeinkommen; Familienstand; AAPOR disposition code; Einladungsmodus; Teilnahmemodus.","url":"https://doi.org/10.4232/1.14575","authors":["GESIS"],"tags":["KAT12 International Institutions, Relations, Conditions","KAT15 Political Attitudes and Behavior","KAT16 Political Parties, Organizations","KAT20 Legal system, Legislation, Law","KAT37 Work and Industry","KAT40 Patterns of Consumption","KAT41 Saving, Investment of Money","KAT51 Community, Living Environment"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.4232/1.14575","addedAt":"2026-08-31T06:39:48.856Z","updatedAt":"2026-08-31T06:39:56.014Z"},{"id":"doi:10.4232/1.14490","name":"GESIS Panel - Extended Edition","source":"datacite","abstract":"Das GESIS-Panel bietet eine wahrscheinlichkeitsbasierte Mixed-Mode-Access-Panel-Infrastruktur am GESIS Leibniz-Institut für Sozialwissenschaften in Mannheim. Das Projekt bietet der sozialwissenschaftlichen Community die Möglichkeit, Erhebungsdaten aus einer repräsentativen Stichprobe der deutschen Bevölkerung zu erheben. Die eingereichten Studienvorschläge werden auf der Grundlage eines wissenschaftlichen Begutachtungsverfahrens bewertet. Die Rekrutierung der Panelmitglieder erfolgte zunächst im Jahr 2013 in persönlichen Interviews, gefolgt von einer selbst durchgeführten Profilbefragung. Der Modus wurde von den Teilnehmern gewählt. Alle Teilnehmer der Profilbefragung werden als Mitglieder des Panels betrachtet und zu den alle zwei Monate stattfindenden regelmäßigen Wellen eingeladen. Die Startkohorte umfasste Anfang 2014 4900 Panelisten. Um den Panelabrieb zu kompensieren, wurde im Jahr 2016 eine Auffrischungsstichprobe mit Hilfe des German General Social Survey (ALLBUS) gezogen. Die erste Kohorte umfasst deutschsprachige Befragte im Alter zwischen 18 und 70 Jahren (zum Zeitpunkt der Einstellung) mit ständigem Wohnsitz in Deutschland, während die zweite Kohorte Befragte ab 18 Jahren ohne Obergrenze umfasst. Im Jahr 2018 wurde eine dritte Rekrutierungsstichprobe gezogen, die mit der Welle ge integriert wurde. Auch die dritte Kohorte umfasst Befragte ab 18 Jahren ohne Obergrenze.Rückwirkend wurden die Fälle bis einschließlich Welle fc (dritte Welle aus 2018) in den Daten ergänzt. Nähere Informationen finden Sie im Data Manual (ZA5664-65_sd_data-manual) und dem entsprechenden Rekrutierungsbericht (ZA5664-65_mb_recruitment2018). Die Stichproben des German General Social Survey (ALLBUS) basieren auf einer disproportionalen Stichprobe von Befragten aus West- und Ostdeutschland. Ein Designgewicht, das die Integration der beiden Rekrutierungskohorten ermöglicht, ist im Datensatz enthalten. Nähere Einzelheiten entnehmen Sie bitte den Methodenberichten der Einstellungsverfahren und dem GESIS-Panel-Referenzpapier (Bosnjak et al., 2017). Im März 2020 wurde eine Sondererhebung des GESIS-Panels zum Ausbruch des Coronavirus SARS-CoV-2 bzw. COVID-19 in Deutschland durchgeführt. Im Jahr 2021 wurde die vierte Rekrutierungsstichprobe mit Hilfe des German International Social Survey Programme (ISSP) gezogen, die mit der Welle ja integriert wurde. Die vierte Kohorte umfasst ebenfalls Befragte ab 18 Jahren ohne Obergrenze. Nähere Informationen finden Sie im entsprechenden Rekrutierungsbericht (ZA5664-65_r_i12.pdf). Im Jahr 2023 wurde die fünfte Rekrutierungsstichprobe mit Hilfe des German European Social Survey (ESS Round 11) gezogen, die mit der Welle la integriert wurde. Die fünfte Kohorte umfasst Befragte ab 16 Jahren ohne Obergrenze. Nähere Informationen finden Sie im entsprechenden Rekrutierungsbericht (ZA5664-65_r_k12.pdf). GESIS Panel Demographic Dataset Ab Version 43-0-0 ist der demografische Längsschnittdatensatz Teil des Veröffentlichungspaketes. Bei dem Datensatz handelt es sich um einen längsschnittlichen Datensatz (long format), mit harmonisierten Messungen zu demografischen Variablen: Befragten ID; Erhebungszeitpunkt; entsprechende Welle; Erhebungsjahr; Rekrutierungskohorte; Geschlecht des Befragten; Geburtsjahr; Geburtsmonat; höchster Bildungsabschluss; persönliches Nettoeinkommen; Haushaltsnettoeinkommen; Familienstand; AAPOR disposition code; Einladungsmodus; Teilnahmemodus.","url":"https://doi.org/10.4232/1.14490","authors":["GESIS"],"tags":["KAT12 International Institutions, Relations, Conditions","KAT15 Political Attitudes and Behavior","KAT16 Political Parties, Organizations","KAT20 Legal system, Legislation, Law","KAT37 Work and Industry","KAT40 Patterns of Consumption","KAT41 Saving, Investment of Money","KAT51 Community, Living Environment"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.4232/1.14490","addedAt":"2026-08-31T06:39:48.856Z","updatedAt":"2026-08-31T06:39:56.014Z"},{"id":"doi:10.4232/1.14567","name":"GESIS Panel.pop Population Sample – Extended Edition","source":"datacite","abstract":"Das GESIS-Panel bietet eine wahrscheinlichkeitsbasierte Mixed-Mode-Access-Panel-Infrastruktur am GESIS Leibniz-Institut für Sozialwissenschaften in Mannheim. Das Projekt bietet der sozialwissenschaftlichen Community die Möglichkeit, Erhebungsdaten aus einer repräsentativen Stichprobe der deutschen Bevölkerung zu erheben. Die eingereichten Studienvorschläge werden auf der Grundlage eines wissenschaftlichen Begutachtungsverfahrens bewertet. Die Rekrutierung der Panelmitglieder erfolgte zunächst im Jahr 2013 in persönlichen Interviews, gefolgt von einer selbst durchgeführten Profilbefragung. Der Modus wurde von den Teilnehmern gewählt. Alle Teilnehmer der Profilbefragung werden als Mitglieder des Panels betrachtet und zu den alle zwei Monate stattfindenden regelmäßigen Wellen eingeladen. Die Startkohorte umfasste Anfang 2014 4900 Panelisten. Um den Panelabrieb zu kompensieren, wurde im Jahr 2016 eine Auffrischungsstichprobe mit Hilfe des German General Social Survey (ALLBUS) gezogen. Die erste Kohorte umfasst deutschsprachige Befragte im Alter zwischen 18 und 70 Jahren (zum Zeitpunkt der Einstellung) mit ständigem Wohnsitz in Deutschland, während die zweite Kohorte Befragte ab 18 Jahren ohne Obergrenze umfasst. Im Jahr 2018 wurde eine dritte Rekrutierungsstichprobe gezogen, die mit der Welle ge integriert wurde. Auch die dritte Kohorte umfasst Befragte ab 18 Jahren ohne Obergrenze.Rückwirkend wurden die Fälle bis einschließlich Welle fc (dritte Welle aus 2018) in den Daten ergänzt. Nähere Informationen finden Sie im Data Manual (ZA5664-65_sd_data-manual) und dem entsprechenden Rekrutierungsbericht (ZA5664-65_mb_recruitment2018). Die Stichproben des German General Social Survey (ALLBUS) basieren auf einer disproportionalen Stichprobe von Befragten aus West- und Ostdeutschland. Ein Designgewicht, das die Integration der beiden Rekrutierungskohorten ermöglicht, ist im Datensatz enthalten. Nähere Einzelheiten entnehmen Sie bitte den Methodenberichten der Einstellungsverfahren und dem GESIS-Panel-Referenzpapier (Bosnjak et al., 2017). Im März 2020 wurde eine Sondererhebung des GESIS-Panels zum Ausbruch des Coronavirus SARS-CoV-2 bzw. COVID-19 in Deutschland durchgeführt. Im Jahr 2021 wurde die vierte Rekrutierungsstichprobe mit Hilfe des German International Social Survey Programme (ISSP) gezogen, die mit der Welle ja integriert wurde. Die vierte Kohorte umfasst ebenfalls Befragte ab 18 Jahren ohne Obergrenze. Nähere Informationen finden Sie im entsprechenden Rekrutierungsbericht (ZA5664-65_r_i12.pdf). Im Jahr 2023 wurde die fünfte Rekrutierungsstichprobe mit Hilfe des German European Social Survey (ESS Round 11) gezogen, die mit der Welle la integriert wurde. Die fünfte Kohorte umfasst Befragte ab 18 Jahren ohne Obergrenze. Nähere Informationen finden Sie im entsprechenden Rekrutierungsbericht (ZA5664-65_r_k12.pdf). GESIS Panel Demographic Dataset Ab Version 43-0-0 ist der demografische Längsschnittdatensatz Teil des Veröffentlichungspaketes. Bei dem Datensatz handelt es sich um einen längsschnittlichen Datensatz (long format), mit harmonisierten Messungen zu demografischen Variablen: Befragten ID; Erhebungszeitpunkt; entsprechende Welle; Erhebungsjahr; Rekrutierungskohorte; Geschlecht des Befragten; Geburtsjahr; Geburtsmonat; höchster Bildungsabschluss; persönliches Nettoeinkommen; Haushaltsnettoeinkommen; Familienstand; AAPOR disposition code; Einladungsmodus; Teilnahmemodus.","url":"https://doi.org/10.4232/1.14567","authors":["GESIS"],"tags":["KAT12 International Institutions, Relations, Conditions","KAT15 Political Attitudes and Behavior","KAT16 Political Parties, Organizations","KAT20 Legal system, Legislation, Law","KAT37 Work and Industry","KAT40 Patterns of Consumption","KAT41 Saving, Investment of Money","KAT51 Community, Living Environment"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.4232/1.14567","addedAt":"2026-08-31T06:39:48.856Z","updatedAt":"2026-08-31T06:39:56.014Z"},{"id":"doi:10.4232/1.14509","name":"GESIS Panel.pop Population Sample – Extended Edition","source":"datacite","abstract":"Das GESIS-Panel bietet eine wahrscheinlichkeitsbasierte Mixed-Mode-Access-Panel-Infrastruktur am GESIS Leibniz-Institut für Sozialwissenschaften in Mannheim. Das Projekt bietet der sozialwissenschaftlichen Community die Möglichkeit, Erhebungsdaten aus einer repräsentativen Stichprobe der deutschen Bevölkerung zu erheben. Die eingereichten Studienvorschläge werden auf der Grundlage eines wissenschaftlichen Begutachtungsverfahrens bewertet. Die Rekrutierung der Panelmitglieder erfolgte zunächst im Jahr 2013 in persönlichen Interviews, gefolgt von einer selbst durchgeführten Profilbefragung. Der Modus wurde von den Teilnehmern gewählt. Alle Teilnehmer der Profilbefragung werden als Mitglieder des Panels betrachtet und zu den alle zwei Monate stattfindenden regelmäßigen Wellen eingeladen. Die Startkohorte umfasste Anfang 2014 4900 Panelisten. Um den Panelabrieb zu kompensieren, wurde im Jahr 2016 eine Auffrischungsstichprobe mit Hilfe des German General Social Survey (ALLBUS) gezogen. Die erste Kohorte umfasst deutschsprachige Befragte im Alter zwischen 18 und 70 Jahren (zum Zeitpunkt der Einstellung) mit ständigem Wohnsitz in Deutschland, während die zweite Kohorte Befragte ab 18 Jahren ohne Obergrenze umfasst. Im Jahr 2018 wurde eine dritte Rekrutierungsstichprobe gezogen, die mit der Welle ge integriert wurde. Auch die dritte Kohorte umfasst Befragte ab 18 Jahren ohne Obergrenze.Rückwirkend wurden die Fälle bis einschließlich Welle fc (dritte Welle aus 2018) in den Daten ergänzt. Nähere Informationen finden Sie im Data Manual (ZA5664-65_sd_data-manual) und dem entsprechenden Rekrutierungsbericht (ZA5664-65_mb_recruitment2018). Die Stichproben des German General Social Survey (ALLBUS) basieren auf einer disproportionalen Stichprobe von Befragten aus West- und Ostdeutschland. Ein Designgewicht, das die Integration der beiden Rekrutierungskohorten ermöglicht, ist im Datensatz enthalten. Nähere Einzelheiten entnehmen Sie bitte den Methodenberichten der Einstellungsverfahren und dem GESIS-Panel-Referenzpapier (Bosnjak et al., 2017). Im März 2020 wurde eine Sondererhebung des GESIS-Panels zum Ausbruch des Coronavirus SARS-CoV-2 bzw. COVID-19 in Deutschland durchgeführt. Im Jahr 2021 wurde die vierte Rekrutierungsstichprobe mit Hilfe des German International Social Survey Programme (ISSP) gezogen, die mit der Welle ja integriert wurde. Die vierte Kohorte umfasst ebenfalls Befragte ab 18 Jahren ohne Obergrenze. Nähere Informationen finden Sie im entsprechenden Rekrutierungsbericht (ZA5664-65_r_i12.pdf). Im Jahr 2023 wurde die fünfte Rekrutierungsstichprobe mit Hilfe des German European Social Survey (ESS Round 11) gezogen, die mit der Welle la integriert wurde. Die fünfte Kohorte umfasst Befragte ab 18 Jahren ohne Obergrenze. Nähere Informationen finden Sie im entsprechenden Rekrutierungsbericht (ZA5664-65_r_k12.pdf). GESIS Panel Demographic Dataset Ab Version 43-0-0 ist der demografische Längsschnittdatensatz Teil des Veröffentlichungspaketes. Bei dem Datensatz handelt es sich um einen längsschnittlichen Datensatz (long format), mit harmonisierten Messungen zu demografischen Variablen: Befragten ID; Erhebungszeitpunkt; entsprechende Welle; Erhebungsjahr; Rekrutierungskohorte; Geschlecht des Befragten; Geburtsjahr; Geburtsmonat; höchster Bildungsabschluss; persönliches Nettoeinkommen; Haushaltsnettoeinkommen; Familienstand; AAPOR disposition code; Einladungsmodus; Teilnahmemodus.","url":"https://doi.org/10.4232/1.14509","authors":["GESIS"],"tags":["KAT12 International Institutions, Relations, Conditions","KAT15 Political Attitudes and Behavior","KAT16 Political Parties, Organizations","KAT20 Legal system, Legislation, Law","KAT37 Work and Industry","KAT40 Patterns of Consumption","KAT41 Saving, Investment of Money","KAT51 Community, Living Environment"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.4232/1.14509","addedAt":"2026-08-31T06:39:48.856Z","updatedAt":"2026-08-31T06:39:56.014Z"},{"id":"doi:10.4232/1.14574","name":"GESIS Panel.pop Population Sample – Extended Edition","source":"datacite","abstract":"Das GESIS-Panel bietet eine wahrscheinlichkeitsbasierte Mixed-Mode-Access-Panel-Infrastruktur am GESIS Leibniz-Institut für Sozialwissenschaften in Mannheim. Das Projekt bietet der sozialwissenschaftlichen Community die Möglichkeit, Erhebungsdaten aus einer repräsentativen Stichprobe der deutschen Bevölkerung zu erheben. Die eingereichten Studienvorschläge werden auf der Grundlage eines wissenschaftlichen Begutachtungsverfahrens bewertet. Die Rekrutierung der Panelmitglieder erfolgte zunächst im Jahr 2013 in persönlichen Interviews, gefolgt von einer selbst durchgeführten Profilbefragung. Der Modus wurde von den Teilnehmern gewählt. Alle Teilnehmer der Profilbefragung werden als Mitglieder des Panels betrachtet und zu den alle zwei Monate stattfindenden regelmäßigen Wellen eingeladen. Die Startkohorte umfasste Anfang 2014 4900 Panelisten. Um den Panelabrieb zu kompensieren, wurde im Jahr 2016 eine Auffrischungsstichprobe mit Hilfe des German General Social Survey (ALLBUS) gezogen. Die erste Kohorte umfasst deutschsprachige Befragte im Alter zwischen 18 und 70 Jahren (zum Zeitpunkt der Einstellung) mit ständigem Wohnsitz in Deutschland, während die zweite Kohorte Befragte ab 18 Jahren ohne Obergrenze umfasst. Im Jahr 2018 wurde eine dritte Rekrutierungsstichprobe gezogen, die mit der Welle ge integriert wurde. Auch die dritte Kohorte umfasst Befragte ab 18 Jahren ohne Obergrenze.Rückwirkend wurden die Fälle bis einschließlich Welle fc (dritte Welle aus 2018) in den Daten ergänzt. Nähere Informationen finden Sie im Data Manual (ZA5664-65_sd_data-manual) und dem entsprechenden Rekrutierungsbericht (ZA5664-65_mb_recruitment2018). Die Stichproben des German General Social Survey (ALLBUS) basieren auf einer disproportionalen Stichprobe von Befragten aus West- und Ostdeutschland. Ein Designgewicht, das die Integration der beiden Rekrutierungskohorten ermöglicht, ist im Datensatz enthalten. Nähere Einzelheiten entnehmen Sie bitte den Methodenberichten der Einstellungsverfahren und dem GESIS-Panel-Referenzpapier (Bosnjak et al., 2017). Im März 2020 wurde eine Sondererhebung des GESIS-Panels zum Ausbruch des Coronavirus SARS-CoV-2 bzw. COVID-19 in Deutschland durchgeführt. Im Jahr 2021 wurde die vierte Rekrutierungsstichprobe mit Hilfe des German International Social Survey Programme (ISSP) gezogen, die mit der Welle ja integriert wurde. Die vierte Kohorte umfasst ebenfalls Befragte ab 18 Jahren ohne Obergrenze. Nähere Informationen finden Sie im entsprechenden Rekrutierungsbericht (ZA5664-65_r_i12.pdf). Im Jahr 2023 wurde die fünfte Rekrutierungsstichprobe mit Hilfe des German European Social Survey (ESS Round 11) gezogen, die mit der Welle la integriert wurde. Die fünfte Kohorte umfasst Befragte ab 18 Jahren ohne Obergrenze. Nähere Informationen finden Sie im entsprechenden Rekrutierungsbericht (ZA5664-65_r_k12.pdf). GESIS Panel Demographic Dataset Ab Version 43-0-0 ist der demografische Längsschnittdatensatz Teil des Veröffentlichungspaketes. Bei dem Datensatz handelt es sich um einen längsschnittlichen Datensatz (long format), mit harmonisierten Messungen zu demografischen Variablen: Befragten ID; Erhebungszeitpunkt; entsprechende Welle; Erhebungsjahr; Rekrutierungskohorte; Geschlecht des Befragten; Geburtsjahr; Geburtsmonat; höchster Bildungsabschluss; persönliches Nettoeinkommen; Haushaltsnettoeinkommen; Familienstand; AAPOR disposition code; Einladungsmodus; Teilnahmemodus.","url":"https://doi.org/10.4232/1.14574","authors":["GESIS"],"tags":["KAT12 International Institutions, Relations, Conditions","KAT15 Political Attitudes and Behavior","KAT16 Political Parties, Organizations","KAT20 Legal system, Legislation, Law","KAT37 Work and Industry","KAT40 Patterns of Consumption","KAT41 Saving, Investment of Money","KAT51 Community, Living Environment"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.4232/1.14574","addedAt":"2026-08-31T06:39:48.856Z","updatedAt":"2026-08-31T06:39:57.285Z"},{"id":"doi:10.4232/1.14510","name":"GESIS Panel.pop Population Sample – Standard Edition","source":"datacite","abstract":"Das GESIS-Panel bietet eine wahrscheinlichkeitsbasierte Mixed-Mode-Access-Panel-Infrastruktur am GESIS Leibniz-Institut für Sozialwissenschaften in Mannheim. Das Projekt bietet der sozialwissenschaftlichen Community die Möglichkeit, Erhebungsdaten aus einer repräsentativen Stichprobe der deutschen Bevölkerung zu erheben. Die eingereichten Studienvorschläge werden auf der Grundlage eines wissenschaftlichen Begutachtungsverfahrens bewertet. Die Rekrutierung der Panelmitglieder erfolgte zunächst im Jahr 2013 in persönlichen Interviews, gefolgt von einer selbst durchgeführten Profilbefragung. Der Modus wurde von den Teilnehmern gewählt. Alle Teilnehmer der Profilbefragung werden als Mitglieder des Panels betrachtet und zu den alle zwei Monate stattfindenden regelmäßigen Wellen eingeladen. Die Startkohorte umfasste Anfang 2014 4900 Panelisten. Um den Panelabrieb zu kompensieren, wurde im Jahr 2016 eine Auffrischungsstichprobe mit Hilfe des German General Social Survey (ALLBUS) gezogen. Die erste Kohorte umfasst deutschsprachige Befragte im Alter zwischen 18 und 70 Jahren (zum Zeitpunkt der Einstellung) mit ständigem Wohnsitz in Deutschland, während die zweite Kohorte Befragte ab 18 Jahren ohne Obergrenze umfasst. Im Jahr 2018 wurde eine dritte Rekrutierungsstichprobe gezogen, die mit der Welle ge integriert wurde. Auch die dritte Kohorte umfasst Befragte ab 18 Jahren ohne Obergrenze.Rückwirkend wurden die Fälle bis einschließlich Welle fc (dritte Welle aus 2018) in den Daten ergänzt. Nähere Informationen finden Sie im Data Manual (ZA5664-65_sd_data-manual) und dem entsprechenden Rekrutierungsbericht (ZA5664-65_mb_recruitment2018). Die Stichproben des German General Social Survey (ALLBUS) basieren auf einer disproportionalen Stichprobe von Befragten aus West- und Ostdeutschland. Ein Designgewicht, das die Integration der beiden Rekrutierungskohorten ermöglicht, ist im Datensatz enthalten. Nähere Einzelheiten entnehmen Sie bitte den Methodenberichten der Einstellungsverfahren und dem GESIS-Panel-Referenzpapier (Bosnjak et al., 2017). Im März 2020 wurde eine Sondererhebung des GESIS-Panels zum Ausbruch des Coronavirus SARS-CoV-2 bzw. COVID-19 in Deutschland durchgeführt. Im Jahr 2021 wurde die vierte Rekrutierungsstichprobe mit Hilfe des German International Social Survey Programme (ISSP) gezogen, die mit der Welle ja integriert wurde. Die vierte Kohorte umfasst ebenfalls Befragte ab 18 Jahren ohne Obergrenze. Nähere Informationen finden Sie im entsprechenden Rekrutierungsbericht (ZA5664-65_r_i12.pdf). Im Jahr 2023 wurde die fünfte Rekrutierungsstichprobe mit Hilfe des German European Social Survey (ESS Round 11) gezogen, die mit der Welle la integriert wurde. Die fünfte Kohorte umfasst Befragte ab 18 Jahren ohne Obergrenze. Nähere Informationen finden Sie im entsprechenden Rekrutierungsbericht (ZA5664-65_r_k12.pdf). GESIS Panel Demographic Dataset Ab Version 43-0-0 ist der demografische Längsschnittdatensatz Teil des Veröffentlichungspaketes. Bei dem Datensatz handelt es sich um einen längsschnittlichen Datensatz (long format), mit harmonisierten Messungen zu demografischen Variablen: Befragten ID; Erhebungszeitpunkt; entsprechende Welle; Erhebungsjahr; Rekrutierungskohorte; Geschlecht des Befragten; Geburtsjahr; höchster Bildungsabschluss; persönliches Nettoeinkommen; Haushaltsnettoeinkommen; Familienstand; AAPOR disposition code; Einladungsmodus; Teilnahmemodus.","url":"https://doi.org/10.4232/1.14510","authors":["GESIS"],"tags":["KAT12 International Institutions, Relations, Conditions","KAT15 Political Attitudes and Behavior","KAT16 Political Parties, Organizations","KAT20 Legal system, Legislation, Law","KAT37 Work and Industry","KAT40 Patterns of Consumption","KAT41 Saving, Investment of Money","KAT51 Community, Living Environment"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.4232/1.14510","addedAt":"2026-08-31T06:39:48.856Z","updatedAt":"2026-08-31T06:39:56.014Z"},{"id":"doi:10.4232/1.14587","name":"GESIS Panel.pop Population Sample – Standard Edition","source":"datacite","abstract":"Das GESIS-Panel bietet eine wahrscheinlichkeitsbasierte Mixed-Mode-Access-Panel-Infrastruktur am GESIS Leibniz-Institut für Sozialwissenschaften in Mannheim. Das Projekt bietet der sozialwissenschaftlichen Community die Möglichkeit, Erhebungsdaten aus einer repräsentativen Stichprobe der deutschen Bevölkerung zu erheben. Die eingereichten Studienvorschläge werden auf der Grundlage eines wissenschaftlichen Begutachtungsverfahrens bewertet. Die Rekrutierung der Panelmitglieder erfolgte zunächst im Jahr 2013 in persönlichen Interviews, gefolgt von einer selbst durchgeführten Profilbefragung. Der Modus wurde von den Teilnehmern gewählt. Alle Teilnehmer der Profilbefragung werden als Mitglieder des Panels betrachtet und zu den alle zwei Monate stattfindenden regelmäßigen Wellen eingeladen. Die Startkohorte umfasste Anfang 2014 4900 Panelisten. Um den Panelabrieb zu kompensieren, wurde im Jahr 2016 eine Auffrischungsstichprobe mit Hilfe des German General Social Survey (ALLBUS) gezogen. Die erste Kohorte umfasst deutschsprachige Befragte im Alter zwischen 18 und 70 Jahren (zum Zeitpunkt der Einstellung) mit ständigem Wohnsitz in Deutschland, während die zweite Kohorte Befragte ab 18 Jahren ohne Obergrenze umfasst. Im Jahr 2018 wurde eine dritte Rekrutierungsstichprobe gezogen, die mit der Welle ge integriert wurde. Auch die dritte Kohorte umfasst Befragte ab 18 Jahren ohne Obergrenze.Rückwirkend wurden die Fälle bis einschließlich Welle fc (dritte Welle aus 2018) in den Daten ergänzt. Nähere Informationen finden Sie im Data Manual (ZA5664-65_sd_data-manual) und dem entsprechenden Rekrutierungsbericht (ZA5664-65_mb_recruitment2018). Die Stichproben des German General Social Survey (ALLBUS) basieren auf einer disproportionalen Stichprobe von Befragten aus West- und Ostdeutschland. Ein Designgewicht, das die Integration der beiden Rekrutierungskohorten ermöglicht, ist im Datensatz enthalten. Nähere Einzelheiten entnehmen Sie bitte den Methodenberichten der Einstellungsverfahren und dem GESIS-Panel-Referenzpapier (Bosnjak et al., 2017). Im März 2020 wurde eine Sondererhebung des GESIS-Panels zum Ausbruch des Coronavirus SARS-CoV-2 bzw. COVID-19 in Deutschland durchgeführt. Im Jahr 2021 wurde die vierte Rekrutierungsstichprobe mit Hilfe des German International Social Survey Programme (ISSP) gezogen, die mit der Welle ja integriert wurde. Die vierte Kohorte umfasst ebenfalls Befragte ab 18 Jahren ohne Obergrenze. Nähere Informationen finden Sie im entsprechenden Rekrutierungsbericht (ZA5664-65_r_i12.pdf). Im Jahr 2023 wurde die fünfte Rekrutierungsstichprobe mit Hilfe des German European Social Survey (ESS Round 11) gezogen, die mit der Welle la integriert wurde. Die fünfte Kohorte umfasst Befragte ab 18 Jahren ohne Obergrenze. Nähere Informationen finden Sie im entsprechenden Rekrutierungsbericht (ZA5664-65_r_k12.pdf). GESIS Panel Demographic Dataset Ab Version 43-0-0 ist der demografische Längsschnittdatensatz Teil des Veröffentlichungspaketes. Bei dem Datensatz handelt es sich um einen längsschnittlichen Datensatz (long format), mit harmonisierten Messungen zu demografischen Variablen: Befragten ID; Erhebungszeitpunkt; entsprechende Welle; Erhebungsjahr; Rekrutierungskohorte; Geschlecht des Befragten; Geburtsjahr; höchster Bildungsabschluss; persönliches Nettoeinkommen; Haushaltsnettoeinkommen; Familienstand; AAPOR disposition code; Einladungsmodus; Teilnahmemodus.","url":"https://doi.org/10.4232/1.14587","authors":["GESIS"],"tags":["KAT12 International Institutions, Relations, Conditions","KAT15 Political Attitudes and Behavior","KAT16 Political Parties, Organizations","KAT20 Legal system, Legislation, Law","KAT37 Work and Industry","KAT40 Patterns of Consumption","KAT41 Saving, Investment of Money","KAT51 Community, Living Environment"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.4232/1.14587","addedAt":"2026-08-31T06:39:48.856Z","updatedAt":"2026-08-31T06:39:57.285Z"},{"id":"doi:10.5281/zenodo.14789119","name":"Deliverable D2.4 - Guidance document on fate, transport and exposure for PMT's in the environment","source":"datacite","abstract":"Executive Summary Models are used in exposure assessment for a number of reasons. They can help map the temporal and spatial variability of exposure, exposure pathways and exposure routes, and support risk assessment for water bodies where monitoring is lacking. They can be used to identify sources and pathways responsible for current exposures and to assess the impact of potential future developments of persistent, mobile, and toxic chemicals (PMT) exposures in surface water and groundwater. Such scenario assessment may include changes in PMT use, effects of pollution control measures, accidental spills or climate change. The scope of this document, produced as part of the H2020 PROMISCES project, is to provide guidance for applications of models with a specific focus on model trains for the assessment of exposure to PMTs as part of the predictive risk assessment related to surface and groundwater. This document explains the basic concepts of specific models and how best to use them in modeltrains in the framework of a tiered approach. The intention is to inform users and interested stakeholders about what needs to be considered when using different methods, what is the best use of specific models, what are the best combinations in model trains and what are their current limitations. The guidance document presents (i) “screening level” models for the assessment of regional exposure of groundwater from soil pollution and for the assessment of general exposure of air, soil and water at local, regional or global scales, (ii) spatial and temporal explicit approaches for the identification of pollution plumes in the soil-groundwater continuum and (iii) model train applications for the catchment – river – river bank filtration – drinking water continuum. Exposure of surface water and groundwater to PMT depends on the use patterns and the environmental fate of the chemicals. Emission, fate and transport models incorporate driving factors into documented algorithms. The extent to which a substance persists in surface water can, for instance, be calculated with the “SimpleBox - Aquatic Persistence Dashboard”, based on its physical-chemical characteristics. The presented approach for deriving generic risk limits for soils shows that, depending on regional variations in geo(hydro)logical conditions, the high mobility of some PFAS could lead to strict requirements for materials applied on soil. For the soil-groundwater continuum, a novel model train is presented which accounts for the main physical and chemical processes controlling the fate and transport of PFAS. For sorption and degradation reactions, several formalisms can be used, allowing one to select the most appropriate according to the PFAS molecular properties and the characteristics of the simulateddomain. The results issued from these modelling applications indicate the key role of correctly identifying the main physical, chemical and biological processes controlling fate and transport of PFAS in the studied domain to build a robust conceptual model. To increase the robustness of the model, a thorough model calibration must be performed, preferably using time seriesmeasurements of the PFAS concentration in the pore solution at different locations of the contaminated site. The results confirm the key role of the unsaturated zone in the transfer and long-term migration of PFAS. Nonlinearity and nonideality of sorption reactions were expected for a broad range of PFAS, suggesting using more complex numerical formalism than linear isotherms. Considering the key role of capillary fringe displacement on PFAS transport in the unsaturated zone, themodel train seems to be very efficient in performing PFAS simulations, as it can explicitly describe water flow and solute transport at the interface between the unsaturated and saturated zones, avoiding the main pitfall encountered in other numerical approaches. The combination of stand-alone models in model trains expands the scope that c","url":"https://doi.org/10.5281/zenodo.14789119","authors":["Zessner, Matthias","Baldwin, Dwight","del Val Alonso, Laura","Derx, Julia","Devau, Nicolas","Janssen, Gijs","Jou Claus, Sònia","Kittlaus, Steffen","Knoche, Franziska","Liu, Meiqi","Markus, Arjen","Valstar, Johan","Meesters, Joris","Meijers, Erwin","Obeid, Ali A.A.","Oudega, Thomas James","Pathak, Devanshi","Sprenger, Christoph","van Gils, Jos","Wicke, Daniel","Wintersen, Arjen","Zhiteneva, Veronika","Groot, Hans"],"tags":["emission modelling","environmental fate modelling","environmental transport modelling","Surface water","Groundwater/chemistry","Groundwater endangering","Groundwater quality","Groundwater pollution"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.14789119","addedAt":"2026-08-31T06:39:48.856Z","updatedAt":"2026-08-31T06:39:48.856Z"},{"id":"doi:10.5281/zenodo.14789120","name":"Deliverable D2.4 - Guidance document on fate, transport and exposure for PMT's in the environment","source":"datacite","abstract":"Executive Summary Models are used in exposure assessment for a number of reasons. They can help map the temporal and spatial variability of exposure, exposure pathways and exposure routes, and support risk assessment for water bodies where monitoring is lacking. They can be used to identify sources and pathways responsible for current exposures and to assess the impact of potential future developments of persistent, mobile, and toxic chemicals (PMT) exposures in surface water and groundwater. Such scenario assessment may include changes in PMT use, effects of pollution control measures, accidental spills or climate change. The scope of this document, produced as part of the H2020 PROMISCES project, is to provide guidance for applications of models with a specific focus on model trains for the assessment of exposure to PMTs as part of the predictive risk assessment related to surface and groundwater. This document explains the basic concepts of specific models and how best to use them in modeltrains in the framework of a tiered approach. The intention is to inform users and interested stakeholders about what needs to be considered when using different methods, what is the best use of specific models, what are the best combinations in model trains and what are their current limitations. The guidance document presents (i) “screening level” models for the assessment of regional exposure of groundwater from soil pollution and for the assessment of general exposure of air, soil and water at local, regional or global scales, (ii) spatial and temporal explicit approaches for the identification of pollution plumes in the soil-groundwater continuum and (iii) model train applications for the catchment – river – river bank filtration – drinking water continuum. Exposure of surface water and groundwater to PMT depends on the use patterns and the environmental fate of the chemicals. Emission, fate and transport models incorporate driving factors into documented algorithms. The extent to which a substance persists in surface water can, for instance, be calculated with the “SimpleBox - Aquatic Persistence Dashboard”, based on its physical-chemical characteristics. The presented approach for deriving generic risk limits for soils shows that, depending on regional variations in geo(hydro)logical conditions, the high mobility of some PFAS could lead to strict requirements for materials applied on soil. For the soil-groundwater continuum, a novel model train is presented which accounts for the main physical and chemical processes controlling the fate and transport of PFAS. For sorption and degradation reactions, several formalisms can be used, allowing one to select the most appropriate according to the PFAS molecular properties and the characteristics of the simulateddomain. The results issued from these modelling applications indicate the key role of correctly identifying the main physical, chemical and biological processes controlling fate and transport of PFAS in the studied domain to build a robust conceptual model. To increase the robustness of the model, a thorough model calibration must be performed, preferably using time seriesmeasurements of the PFAS concentration in the pore solution at different locations of the contaminated site. The results confirm the key role of the unsaturated zone in the transfer and long-term migration of PFAS. Nonlinearity and nonideality of sorption reactions were expected for a broad range of PFAS, suggesting using more complex numerical formalism than linear isotherms. Considering the key role of capillary fringe displacement on PFAS transport in the unsaturated zone, themodel train seems to be very efficient in performing PFAS simulations, as it can explicitly describe water flow and solute transport at the interface between the unsaturated and saturated zones, avoiding the main pitfall encountered in other numerical approaches. The combination of stand-alone models in model trains expands the scope that c","url":"https://doi.org/10.5281/zenodo.14789120","authors":["Zessner, Matthias","Baldwin, Dwight","del Val Alonso, Laura","Derx, Julia","Devau, Nicolas","Janssen, Gijs","Jou Claus, Sònia","Kittlaus, Steffen","Knoche, Franziska","Liu, Meiqi","Markus, Arjen","Valstar, Johan","Meesters, Joris","Meijers, Erwin","Obeid, Ali A.A.","Oudega, Thomas James","Pathak, Devanshi","Sprenger, Christoph","van Gils, Jos","Wicke, Daniel","Wintersen, Arjen","Zhiteneva, Veronika","Groot, Hans"],"tags":["emission modelling","environmental fate modelling","environmental transport modelling","Surface water","Groundwater/chemistry","Groundwater endangering","Groundwater quality","Groundwater pollution"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.14789120","addedAt":"2026-08-31T06:39:48.856Z","updatedAt":"2026-08-31T06:39:48.856Z"},{"id":"doi:10.5281/zenodo.17666813","name":"The Collective Rider System (CRS) — Autonomous DSR/X Retrofit & CRS-A1 Production Platform","source":"datacite","abstract":"The Collective Rider System (CRS) — Autonomous DSR/X Retrofit & CRS-A1 Production Platform 1. Executive Summary 1.1. The Purpose of This Paper This document serves as the definitive architectural blueprint and strategic proposal for the Collective Rider System (CRS), a unified autonomous mobility platform designed to bridge the schism between current electric motorcycle capability and a future of fully autonomous, AI-native, self-healing robotic vehicles. The scope of this paper is exhaustive, covering the mechanical, computational, and governance layers required to deliver two distinct but sequentially linked hardware deliverables: the CRS–DSRX Retrofit Prototype (based on the 2026 Zero DSR/X) and the CRS-A1 Production Model (a clean-sheet design for 2027/28). We currently stand at a unique inflection point in the trajectory of personal mobility. While electrification has become standardized—evidenced by the maturity of the Zero Motorcycles Z-Force powertrain—true autonomy in single-track vehicles (motorcycles) lags significantly behind four-wheeled counterparts. This lag is not a failure of ambition but a consequence of physics: a motorcycle must balance before it can navigate. The \"inverted pendulum\" problem requires control loops with latency tolerances an order of magnitude tighter than those required for a stable four-wheeled chassis. Current market solutions, such as Honda’s Riding Assist, have demonstrated the viability of steer-by-wire and geometry modification for low-speed balance 1, yet no production-ready system exists that integrates high-speed autonomy, predictive energy health, and heavy-payload logistics into a single, commercially viable platform. The CRS fills this void. It is not merely a self-driving feature set; it is a holistic operating system for the machine, governing its physics, its energy chemistry, and its decision-making via the CollectiveOS framework.2 This paper outlines how we will leverage the industry-leading chassis of the Zero DSR/X, the supercomputing edge power of Intel’s Agilex/Arc silicon 3, the visual perception of GoPro’s GP2/GP3 architecture 5, and the cloud-training infrastructure of Microsoft to create the world’s first \"Uncrashable, Unstoppable\" robotic motorcycle. 1.2. Vision: The World’s First Fully Autonomous, AI-Native Motorcycle The vision driving the CRS project is the creation of a motorcycle that transcends the limitations of the human rider while preserving the utility and efficiency of the form factor. A motorcycle is inherently more energy-efficient and space-efficient than a car, making it the ideal vector for the next generation of urban logistics, emergency response, and accessible personal transport. However, the skill barrier and safety risks associated with riding limit its adoption. The CRS removes these barriers through active autonomy. The system utilizes a Dual-AI Architecture—comprising the PILOT core for real-time physics and navigation, and the CATALYST core for long-term energy health and system optimization. This allows the machine to: Self-Balance at zero speed without gyroscopes, using steering actuation and geometry modulation derived from Honda’s robotics research.6 Self-Heal its battery chemistry through AI-managed thermal cycles, extending fleet life by 4x.2 Predict collisions before they occur, deploying a \"Safety Cocoon\" of airbags and evasive maneuvers. Operate Unmanned for logistics and repositioning (Ghost Mode). 1.3. Strategic Deliverables This paper proposes a phased execution strategy to minimize risk while maximizing immediate technological demonstration: CRS–DSRX Retrofit Prototype (2026): A modification package for the existing Zero DSR/X. This leverages Zero’s proven Z-Force 75-10X powertrain and steel trellis frame 7, adding a bolt-on \"Supercomputer Sled,\" a steering actuation module for stability, and an external sensor array. This allows for rapid validation of the software stack and balancing physics without the need for new chassis","url":"https://doi.org/10.5281/zenodo.17666813","authors":["rewer, Mark Anthony"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.17666813","addedAt":"2026-08-31T06:39:48.856Z","updatedAt":"2026-08-31T06:39:57.285Z"},{"id":"doi:10.5281/zenodo.17666814","name":"The Collective Rider System (CRS) — Autonomous DSR/X Retrofit & CRS-A1 Production Platform","source":"datacite","abstract":"The Collective Rider System (CRS) — Autonomous DSR/X Retrofit & CRS-A1 Production Platform 1. Executive Summary 1.1. The Purpose of This Paper This document serves as the definitive architectural blueprint and strategic proposal for the Collective Rider System (CRS), a unified autonomous mobility platform designed to bridge the schism between current electric motorcycle capability and a future of fully autonomous, AI-native, self-healing robotic vehicles. The scope of this paper is exhaustive, covering the mechanical, computational, and governance layers required to deliver two distinct but sequentially linked hardware deliverables: the CRS–DSRX Retrofit Prototype (based on the 2026 Zero DSR/X) and the CRS-A1 Production Model (a clean-sheet design for 2027/28). We currently stand at a unique inflection point in the trajectory of personal mobility. While electrification has become standardized—evidenced by the maturity of the Zero Motorcycles Z-Force powertrain—true autonomy in single-track vehicles (motorcycles) lags significantly behind four-wheeled counterparts. This lag is not a failure of ambition but a consequence of physics: a motorcycle must balance before it can navigate. The \"inverted pendulum\" problem requires control loops with latency tolerances an order of magnitude tighter than those required for a stable four-wheeled chassis. Current market solutions, such as Honda’s Riding Assist, have demonstrated the viability of steer-by-wire and geometry modification for low-speed balance 1, yet no production-ready system exists that integrates high-speed autonomy, predictive energy health, and heavy-payload logistics into a single, commercially viable platform. The CRS fills this void. It is not merely a self-driving feature set; it is a holistic operating system for the machine, governing its physics, its energy chemistry, and its decision-making via the CollectiveOS framework.2 This paper outlines how we will leverage the industry-leading chassis of the Zero DSR/X, the supercomputing edge power of Intel’s Agilex/Arc silicon 3, the visual perception of GoPro’s GP2/GP3 architecture 5, and the cloud-training infrastructure of Microsoft to create the world’s first \"Uncrashable, Unstoppable\" robotic motorcycle. 1.2. Vision: The World’s First Fully Autonomous, AI-Native Motorcycle The vision driving the CRS project is the creation of a motorcycle that transcends the limitations of the human rider while preserving the utility and efficiency of the form factor. A motorcycle is inherently more energy-efficient and space-efficient than a car, making it the ideal vector for the next generation of urban logistics, emergency response, and accessible personal transport. However, the skill barrier and safety risks associated with riding limit its adoption. The CRS removes these barriers through active autonomy. The system utilizes a Dual-AI Architecture—comprising the PILOT core for real-time physics and navigation, and the CATALYST core for long-term energy health and system optimization. This allows the machine to: Self-Balance at zero speed without gyroscopes, using steering actuation and geometry modulation derived from Honda’s robotics research.6 Self-Heal its battery chemistry through AI-managed thermal cycles, extending fleet life by 4x.2 Predict collisions before they occur, deploying a \"Safety Cocoon\" of airbags and evasive maneuvers. Operate Unmanned for logistics and repositioning (Ghost Mode). 1.3. Strategic Deliverables This paper proposes a phased execution strategy to minimize risk while maximizing immediate technological demonstration: CRS–DSRX Retrofit Prototype (2026): A modification package for the existing Zero DSR/X. This leverages Zero’s proven Z-Force 75-10X powertrain and steel trellis frame 7, adding a bolt-on \"Supercomputer Sled,\" a steering actuation module for stability, and an external sensor array. This allows for rapid validation of the software stack and balancing physics without the need for new chassis","url":"https://doi.org/10.5281/zenodo.17666814","authors":["rewer, Mark Anthony"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.17666814","addedAt":"2026-08-31T06:39:48.856Z","updatedAt":"2026-08-31T06:39:57.285Z"},{"id":"doi:10.15485/2547039","name":"CROCUS Air Quality Dataset from the University of Illinois Chicago (UIC), July 2024","source":"datacite","abstract":"This dataset was collected by the measurement system in the Atmosphere, Climate, and Ecosystems (ACE) Lab at the University of Illinois Chicago (UIC) from July 12 to July 31, 2024, as part of the Community Research on Climate and Urban Science (CROCUS) Urban Integrated Field Laboratory (UIFL) project, led by Argonne National Laboratory.To enhance understanding of urban air quality dynamics in Chicago, and as part of the CROCUS 2024 Urban Canyon Intensive Observation Period (IOP), several instruments were set up to provide continuous measurements of air quality parameters in Chicago during July 2024. These measurements cover both aerosols and gas-phase species. It focuses on particle size distribution (2.5–478 nm) measured by two Scanning Mobility Particle Sizers (SMPS) at a 4-min resolution, total particle number concentrations at a 1-s resolution, and chemical composition from a High-Resolution Time-of-Flight Aerosol Mass Spectrometer (AMS) at a 1-min resolution. Key gas-phase species, including NO, NO₂, SO₂, and O₃, are measured at a 1-min resolution, along with high-resolution NO and dimethyl sulfide (DMS) data from a Chemical Ionization Mass Spectrometer (CIMS). Volatile organic compound (VOC) data for toluene, isoprene, and benzene are provided by a GC-PID with a time resolution of 25 minutes.The data are formatted as NetCDF (.nc) files, making them easily accessible using common software such as MATLAB, R, and Python. Each parameter is stored in an individual dataset, which includes detailed instrument information in the header, as well as the corresponding sample start time and concentration/distribution data for each sample.","url":"https://doi.org/10.15485/2547039","authors":["Chen, Xiaoyu","Puttu, Uma","Xu, Lu","Wang, Jian"],"tags":["54 ENVIRONMENTAL SCIENCES","EARTH SCIENCE &gt; ATMOSPHERE &gt; AIR QUALITY","NOx","SO₂","O₃","Particle size distribution","Particle number concentration","Toluene"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.15485/2547039","addedAt":"2026-08-31T06:39:48.856Z","updatedAt":"2026-08-31T06:39:48.856Z"},{"id":"doi:10.5281/zenodo.17607691","name":"Air Taxi Market: A Comprehensive Industry Manuscript","source":"datacite","abstract":"The global Air Taxi Market, valued at USD 3.26 billion in 2024, is projected to reach USD 4.0 billion by 2025 and surge to USD 11.12 billion by 2030, expanding at a robust CAGR of 22.6% between 2025 and 2030. This manuscript examines the major forces driving this high-growth market, including accelerating urbanization, advancements in eVTOL technologies, and the expanding travel and tourism industry. It also evaluates regulatory challenges, AI integration opportunities, key market segments, regional dynamics, and strategic initiatives adopted by leading players. The study provides a comprehensive view of the transformation underway in global urban air mobility and identifies emerging opportunities that will shape the future of air taxis.","url":"https://doi.org/10.5281/zenodo.17607691","authors":["Next Move Strategy Consulting"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.17607691","addedAt":"2026-08-31T06:39:48.856Z","updatedAt":"2026-08-31T06:39:52.013Z"},{"id":"doi:10.5281/zenodo.17607692","name":"Air Taxi Market: A Comprehensive Industry Manuscript","source":"datacite","abstract":"The global Air Taxi Market, valued at USD 3.26 billion in 2024, is projected to reach USD 4.0 billion by 2025 and surge to USD 11.12 billion by 2030, expanding at a robust CAGR of 22.6% between 2025 and 2030. This manuscript examines the major forces driving this high-growth market, including accelerating urbanization, advancements in eVTOL technologies, and the expanding travel and tourism industry. It also evaluates regulatory challenges, AI integration opportunities, key market segments, regional dynamics, and strategic initiatives adopted by leading players. The study provides a comprehensive view of the transformation underway in global urban air mobility and identifies emerging opportunities that will shape the future of air taxis.","url":"https://doi.org/10.5281/zenodo.17607692","authors":["Next Move Strategy Consulting"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.17607692","addedAt":"2026-08-31T06:39:48.856Z","updatedAt":"2026-08-31T06:39:52.013Z"},{"id":"doi:10.5281/zenodo.17204484","name":"Strategies to Decrease prevalence of Diabetes in Pakistan","source":"datacite","abstract":"Abstract Pakistan faces an escalating diabetes epidemic with alarmingly high prevalence rates that place the country among those with the greatest absolute burden of diabetes worldwide. Major drivers include rapid urbanization, unhealthy diets, rising obesity, physical inactivity, tobacco use, and gaps in health system capacity for prevention and early detection. This paper reviews the epidemiology and principal modifiable risk factors for diabetes in Pakistan, summarizes evidence about the effectiveness of prevention strategies—especially culturally adapted lifestyle interventions—and proposes a pragmatic, multi-level strategy tailored to Pakistan’s health system and socio-cultural context. Key recommended actions include: (1) population-level prevention through fiscal and regulatory policies (taxes on sugar-sweetened beverages, healthy food subsidies, urban planning for active transport); (2) community-delivered, culturally co-designed lifestyle modification programs with scalable fidelity monitoring; (3) strengthening primary care for screening, early diagnosis, and structured counselling; (4) workplace and school-based interventions; (5) tobacco control and air pollution reduction; and (6) implementing robust surveillance, monitoring and evaluation systems linked to policy decisions. Implementation must emphasize equity — reaching rural and low-income urban populations — and utilize existing platforms (Lady Health Worker program, community clinics, schools and religious centers) to maximize reach. We highlight barriers (resource constraints, health workforce shortages, fragmented governance, cultural dietary preferences) and propose measurable indicators and phased pilot–scale expansion. The evidence suggests that while lifestyle interventions in South Asian populations produce modest metabolic improvements, combining policy-level changes, community engagement, and primary-care strengthening offers the best chance to curb diabetes incidence and limit complications in Pakistan. Recommendations are actionable and intended to inform policymakers, public health planners and researchers. (Key words: Diabetes prevention, Pakistan, lifestyle intervention, public health policy, primary care) Introduction Diabetes mellitus — predominantly type 2 diabetes (T2DM) — has become a major public-health challenge in Pakistan. Recent country-level estimates indicate a dramatic rise in the number of adults living with diabetes and very high adult prevalence compared to global averages, driven by demographic change, urbanization, and lifestyle transitions. Left unchecked, rising diabetes prevalence will increase premature morbidity and mortality and place unsustainable demands on Pakistan’s health system and economy. This article synthesizes current evidence on diabetes burden and risk factors in Pakistan and lays out multi-level strategies to reduce the chances of developing diabetes, emphasizing feasibility, cultural fit, and equity. Diabetes Atlas+1 Epidemiology and burden in Pakistan According to the International Diabetes Federation (IDF) Diabetes Atlas country profile (2024), Pakistan has one of the highest adult diabetes burdens globally, with tens of millions of adults estimated to live with diabetes. IDF estimates place Pakistan’s adult (20–79 years) diabetes cases in the tens of millions and project continued growth if no action is taken. National and regional studies corroborate high and rising prevalence, and non-communicable diseases (NCDs), including diabetes, account for a large share of adult morbidity and mortality. Diabetes Atlas+1 Pakistan’s demographic and health transitions — aging population segments, urban migration, and changes in occupational patterns — magnify population exposure to key diabetes risk factors such as overweight/obesity and physical inactivity. WHO country data emphasize the growing contribution of NCDs to total deaths in Pakistan. datadot Principal modifiable risk factors Multiple studies and systemat","url":"https://doi.org/10.5281/zenodo.17204484","authors":["Hussain, zahid"],"tags":["Strategies","Decrease","Chances","Diabetes","Pakistan","prevalence"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.17204484","addedAt":"2026-08-31T06:39:48.856Z","updatedAt":"2026-08-31T06:39:57.285Z"},{"id":"doi:10.5281/zenodo.17204485","name":"Strategies to Decrease prevalence of Diabetes in Pakistan","source":"datacite","abstract":"Abstract Pakistan faces an escalating diabetes epidemic with alarmingly high prevalence rates that place the country among those with the greatest absolute burden of diabetes worldwide. Major drivers include rapid urbanization, unhealthy diets, rising obesity, physical inactivity, tobacco use, and gaps in health system capacity for prevention and early detection. This paper reviews the epidemiology and principal modifiable risk factors for diabetes in Pakistan, summarizes evidence about the effectiveness of prevention strategies—especially culturally adapted lifestyle interventions—and proposes a pragmatic, multi-level strategy tailored to Pakistan’s health system and socio-cultural context. Key recommended actions include: (1) population-level prevention through fiscal and regulatory policies (taxes on sugar-sweetened beverages, healthy food subsidies, urban planning for active transport); (2) community-delivered, culturally co-designed lifestyle modification programs with scalable fidelity monitoring; (3) strengthening primary care for screening, early diagnosis, and structured counselling; (4) workplace and school-based interventions; (5) tobacco control and air pollution reduction; and (6) implementing robust surveillance, monitoring and evaluation systems linked to policy decisions. Implementation must emphasize equity — reaching rural and low-income urban populations — and utilize existing platforms (Lady Health Worker program, community clinics, schools and religious centers) to maximize reach. We highlight barriers (resource constraints, health workforce shortages, fragmented governance, cultural dietary preferences) and propose measurable indicators and phased pilot–scale expansion. The evidence suggests that while lifestyle interventions in South Asian populations produce modest metabolic improvements, combining policy-level changes, community engagement, and primary-care strengthening offers the best chance to curb diabetes incidence and limit complications in Pakistan. Recommendations are actionable and intended to inform policymakers, public health planners and researchers. (Key words: Diabetes prevention, Pakistan, lifestyle intervention, public health policy, primary care) Introduction Diabetes mellitus — predominantly type 2 diabetes (T2DM) — has become a major public-health challenge in Pakistan. Recent country-level estimates indicate a dramatic rise in the number of adults living with diabetes and very high adult prevalence compared to global averages, driven by demographic change, urbanization, and lifestyle transitions. Left unchecked, rising diabetes prevalence will increase premature morbidity and mortality and place unsustainable demands on Pakistan’s health system and economy. This article synthesizes current evidence on diabetes burden and risk factors in Pakistan and lays out multi-level strategies to reduce the chances of developing diabetes, emphasizing feasibility, cultural fit, and equity. Diabetes Atlas+1 Epidemiology and burden in Pakistan According to the International Diabetes Federation (IDF) Diabetes Atlas country profile (2024), Pakistan has one of the highest adult diabetes burdens globally, with tens of millions of adults estimated to live with diabetes. IDF estimates place Pakistan’s adult (20–79 years) diabetes cases in the tens of millions and project continued growth if no action is taken. National and regional studies corroborate high and rising prevalence, and non-communicable diseases (NCDs), including diabetes, account for a large share of adult morbidity and mortality. Diabetes Atlas+1 Pakistan’s demographic and health transitions — aging population segments, urban migration, and changes in occupational patterns — magnify population exposure to key diabetes risk factors such as overweight/obesity and physical inactivity. WHO country data emphasize the growing contribution of NCDs to total deaths in Pakistan. datadot Principal modifiable risk factors Multiple studies and systemat","url":"https://doi.org/10.5281/zenodo.17204485","authors":["Hussain, zahid"],"tags":["Strategies","Decrease","Chances","Diabetes","Pakistan","prevalence"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.17204485","addedAt":"2026-08-31T06:39:48.856Z","updatedAt":"2026-08-31T06:39:57.285Z"},{"id":"doi:10.71787/pjc5-1d94/ntigs.2025.1210992","name":"Geographical Distribution of Health and Medical Indicators in Iran","source":"datacite","abstract":"امروزه بهبود شاخص‌های بهداشت و درمان به عنوان یکی از اولویت‌های اصلی سیاست‌گذاری‌های سلامت در سطح ملی و منطقه‌ای مطرح شده است. با توجه به نقش حیاتی این شاخص‌ها در ارتقاء سطح سلامت جمعیت و کاهش نابرابری‌های بهداشتی، شناخت دقیق پراکنش جغرافیایی آن‌ها می‌تواند از اهمیت ویژه‌ای برخوردار باشد به‌طوری‌که تحلیل پراکنش جغرافیایی این شاخص‌ها می‌تواند نقش کلیدی در شناسایی مناطق محروم و اولویت‌بندی برنامه‌های توسعه سلامت ایفا کند. هدف اصلی پژوهش بررسی پراکنش جغرافیایی شاخص‌های بهداشت و درمان در ایران می‌باشد. این پژوهش به لحاظ هدف کاربردی و دارای ماهیت توصیفی-تحلیلی می‌باشد. روش گردآوری اطلاعات به‌صورت کتابخانه‌ای صورت گرفته است. تجزیه‌وتحلیل داده‌های پژوهش به‌صورت کمی و با استفاده از نرم‌افزارهای کاربردی GIS، EXCEL و SPSS صورت گرفته است. در این پژوهش برای وزن دهی شاخص‌ها از مدل OPA، برای رتبه‌بندی برخورداری از شاخص‌های بهداشت و درمان از مدل تصمیم‌گیری کوکوسو و در جهت خوشه‌بندی استان‌ها از روش خوشه‌بندی K-Means استفاده‌شده است. پراکنش جغرافیایی شاخص‌های بهداشت و درمان در ایران نشان‌دهنده نابرابری‌های قابل‌توجه میان مناطق مختلف است. درحالی‌که شهرهای بزرگ و مراکز استان‌ها از امکانات گسترده‌تر و خدمات بهداشتی مطلوب‌تری برخوردارند، مناطق روستایی و محروم‌تر غالباً با کمبود زیرساخت‌ها، نیروی انسانی و تجهیزات پزشکی مواجه هس��ند. این توزیع نابرابر تأثیر مستقیم بر سلامت و کیفیت زندگی ساکنان این مناطق دارد و منجر به تفاوت‌های قابل‌ملاحظه در شاخص‌های بهداشت عمومی، میزان مرگ‌ومیر، و دسترسی به خدمات درمانی می‌شود. بنابراین، بررسی و تحلیل این توزیع جغرافیایی اهمیت بالایی در سیاست‌گذاری‌های سلامت کشور دارد تا بتوان با هدف کاهش نابرابری‌ها، عدالت در ارائه خدمات بهداشتی و درمانی را تحقق بخشید. چکیده مبسوط فارسی مقدمه امروزه بهبود شاخص‌های بهداشت و درمان به عنوان یکی از اولویت‌های اصلی سیاست‌گذاری‌های سلامت در سطح ملی و منطقه‌ای مطرح شده است. با توجه به نقش حیاتی این شاخص‌ها در ارتقاء سطح سلامت جمعیت و کاهش نابرابری‌های بهداشتی، شناخت دقیق پراکنش جغرافیایی آن‌ها می‌تواند از اهمیت ویژه‌ای برخوردار باشد به‌طوری‌که تحلیل پراکنش جغرافیایی این شاخص‌ها می‌تواند نقش کلیدی در شناسایی مناطق محروم و اولویت‌بندی برنامه‌های توسعه سلامت ایفا کند. در این راستا مطالعات پیشین نشان می‌دهند که علی‌رغم تلاش‌های صورت گرفته، نابرابری‌های جغرافیایی در توزیع خدمات بهداشت و درمان در ایران به‌وضوح مشاهده می‌شود. این نابرابری‌ها نه‌تنها باعث کاهش کیفیت و دسترسی به خدمات سلامت می‌شوند، بلکه بر روی سلامت کلی جمعیت و توسعه پایدار کشور نیز تأثیر منفی دارند؛ بنابراین، شناخت دقیق توزیع فضایی شاخص‌های سلامت و تعیین عوامل مؤثر در نابرابری‌های جغرافیایی، برای سیاست‌گذاران و برنامه‌ریزان سلامت کشور ضروری است. هدف اصلی پژوهش بررسی وضعیت پراکنش جغرافیایی شاخص‌های بهداشت و درمان در ایران می‌باشد که ضمن بررسی وضعیت برخورداری استان‌های کشور از این شاخص‌ها، به‌صورت جغرافیایی نیز به تحلیل فضایی می‌پردازد تا وضعیت کلی از توزیع این شاخص‌ها ارائه گردد. در این راستا فرضیه پژوهش تحت عنوان «به‌نظر می‌رسد پراکنش جغرافیایی شاخص‌های بهداشت و درمان در ایران به‌صورت نابرابر توزیع‌شده است» تدوین‌شده است. داده و روش این پژوهش به لحاظ هدف کاربردی و دارای ماهیت توصیفی-تحلیلی می‌باشد. روش گردآوری اطلاعات به‌صورت کتابخانه‌ای صورت گرفته است. شاخص‌ها و داده‌های آماری پژوهش از گزارش «جایگاه اقتصادی، اجتماعی و فرهنگی استان‌ها» که توسط مرکز آمار ایران (1403) انتشاریافته، گردآوری گردیده است. برای بررسی پراکنش جغرافیایی شاخص‌های بهداشت و درمان از 10 شاخص که شامل نسبت تعداد بيمارستان فعال به جمعيت (تعداد به صدهزار نفر)، نسبت تعداد تخت‌هاي فعال بيمارستاني به جمعيت (تعداد به ده‌هزار نفر)، نسبت تعداد مراکز ارائه‌دهنده مراقبت‌هاي اوليه بهداشتي به جمعيت (تعداد به صدهزار نفر)، نسبت تعداد مراکز خدمات جامع سلامت روستايي به جمعيت روستايي (تعداد به ده‌هزار نفر)، نسبت تعداد خانه‌هاي بهداشت فعال روستاها به جمعيت روستايي (تعداد به ده‌هزار نفر)، نسبت تعداد آزمايشگاه‌هاي تشخيص پزشكي به جمعيت (تعداد به صدهزار نفر)، نسبت تعداد کل مراکز توان‌بخشی پزشكي به جمعيت (تعداد به صدهزار نفر)، نسبت تعداد مراکز پزشكي هسته‌اي مؤسسات راديولوژي و مراکز تصويربرداري پزشكي به جمعيت (تعداد به صدهزار نفر)، نسبت تعداد داروخانه‌ها به جمعيت (تعداد به ده هزار نفر) و نسبت تعداد پايگاه‌هاي اورژانس پيش‌بيمارستاني 115 شهري به جمعيت نقاط شهري (تعداد به صدهزار نفر) اس","url":"https://doi.org/10.71787/pjc5-1d94/ntigs.2025.1210992","authors":["Bayramzdeh, Nima"],"tags":["Keywords: Spatial Analysis","Healthcare","Regional Inequality","Iran."],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.71787/pjc5-1d94/ntigs.2025.1210992","addedAt":"2026-08-31T06:39:48.856Z","updatedAt":"2026-08-31T06:39:57.285Z"},{"id":"doi:10.5281/zenodo.16997575","name":"India ISIN Database, by Nemo","source":"datacite","abstract":"This file is truncated due to GitHub limitations. please see the attached release.md file for complete notes Additions The following new ISINs were added: ISIN|Description|Issuer|Type|Status ----|-----------|------|---------------|------ IN002025X224|GOVERNMENT OF INDIA 36369 091 DAYS TBILL 28NV25 FV RS 100||TREASURY BILLS|Active IN002025Y222|GOVERNMENT OF INDIA 36370 182 DAYS TBILL 27FB26 FV RS 100||TREASURY BILLS|Active IN002025Z229|GOVERNMENT OF INDIA 36371 364 DAYS TBILL 28AG26 FV RS 100||TREASURY BILLS|Active IN1220250097|STATE DEVELOPMENT LOAN 36343 ASM 28AG31 7.13 FV RS 100||GOVERNMENT SECURITIES|Active IN1420250079|STATE DEVELOPMENT LOAN 36344 GOA 28AG37 7.4 FV RS 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LTD|COMMERCIAL PAPER|Active INE03NI08014|MANIPAL HOSPITALS PRIVATE LIMITED NCD 14SP27 FVRS1LAC|MANIPAL HOSPITALS PRIVATE LIMITED|DEBENTURE|Active INE081A14GC8|TATA STEEL LIMITED 88D CP 28NOV25|TATA STEEL LIMITED|COMMERCIAL PAPER|Active INE089C14DQ4|STERLITE TECHNOLOGIES LIMITED 151D CP 27JAN26|STERLITE TECHNOLOGIES LIMITED|COMMERCIAL PAPER|Active INE089C14DR","url":"https://doi.org/10.5281/zenodo.16997575","authors":["Rana, Abhay"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.16997575","addedAt":"2026-08-31T06:39:48.856Z","updatedAt":"2026-08-31T06:39:52.575Z"},{"id":"doi:10.5281/zenodo.16857041","name":"India ISIN Database, by Nemo","source":"datacite","abstract":"Additions The following new ISINs were added: ISIN|Description|Issuer|Type|Status ----|-----------|------|---------------|------ IN002025X208|GOVERNMENT OF INDIA 36317 091 DAYS TBILL 13NV25 FV RS 100||TREASURY BILLS|Active IN002025Y206|GOVERNMENT OF INDIA 36318 182 DAYS TBILL 12FB26 FV RS 100||TREASURY BILLS|Active IN002025Z203|GOVERNMENT OF INDIA 36319 364 DAYS TBILL 13AG26 FV RS 100||TREASURY BILLS|Active IN1320250054|STATE DEVELOPMENT LOAN 36313 BH 13AG55 7.43 FV RS 100||GOVERNMENT SECURITIES|Active IN1420250053|STATE DEVELOPMENT LOAN 36314 GOA 13AG36 7.12 FV RS 100||GOVERNMENT SECURITIES|Active IN4520250304|STATE DEVELOPMENT LOAN 36316 TLG 13AG60 7.33 FV RS 100||GOVERNMENT SECURITIES|Active IN4920250102|STATE DEVELOPMENT LOAN 36315 J&K 13AG40 7.35 FV RS 100||GOVERNMENT SECURITIES|Active IN91HBD03019|ECOSOUL HOME PRIVATE LIMITED 0.01% SERIES A1 PP PREF 13OT31|ECOSOUL HOME PRIVATE LIMITED|PREFERENCE SHARES|Active IN91HBD03027|ECOSOUL HOME PRIVATE LIMITED 0.01% SERIES A4 PP PREF 10JU32|ECOSOUL HOME PRIVATE LIMITED|PREFERENCE SHARES|Active IN91NFO03023|AARYAK JEWELLERY PRIVATE LIMITED 0.001% SERIES A2 PP PREF 27MR33|AARYAK JEWELLERY PRIVATE LIMITED|PREFERENCE SHARES|Active IN91NFO03031|AARYAK JEWELLERY PRIVATE LIMITED 0.001% SERIES A3 PREF 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INE06S803113|SVAKARMA FINANCE PRIVATE LIMITED 0.001% SERIES A5 PREF 17OT44|SVAKARMA FINANCE PRIVATE LIMITED|PREFERENCE SHARES|Active INE071G14HA8|ICICI HOME FINANCE COMPANY LIMITED 43D CP 26SEP25|ICICI HOME FINANCE COMPANY LIMITED|COMMERCIAL PAPER|Active INE07B007010|PARANJAPE PREMISES PRIVATE LIMITED 16.25 NCD 19MY27 FVRS10LAC|PARANJAPE PREMISES PRIVATE LIMITED|DEBENTURE|Active INE07V907124|UNNATTI FINSERV PRIVATE LIMITED SR G 16.50 NCD 11JU27 FVRS1LAC|UNNATTI FINSERV PRIVATE LIMITED|DEBENTURE|Active INE08S301017|PENTAGON LABS LIMITED EQ|PENTAGON LABS LIMITED|EQUITY SHARES|Active INE08VD03141|MAKEO HEALTHCARE TECHNOLOGIES PRIVATE LIMITED 0.0001% SERIES X PREF 16JL45|MAKEO HEALTHCARE TECHNOLOGIES PRIVATE LIMITED|PREFERENCE SHARES|Active INE0","url":"https://doi.org/10.5281/zenodo.16857041","authors":["Rana, Abhay"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.16857041","addedAt":"2026-08-31T06:39:48.856Z","updatedAt":"2026-08-31T06:39:52.575Z"},{"id":"doi:10.6084/m9.figshare.29321930.v1","name":"Data and code for: Population dynamics of butterflies in rural‒urban ecosystems: A case study at Assam down town University in the northeastern region of India","source":"datacite","abstract":"Butterflies serve as valuable bioindicators for assessing ecosystem health due to their sensitivity to habitat changes, rapid life cycles, and extensive mobility. University campuses are increasingly acknowledged as important refuges for butterfly populations, yet their role in supporting butterfly diversity and conservation remains understudied. The Assam down town University campus, situated in the biodiverse northeastern region of India, holds significant biogeographic importance for faunal studies. However, despite its ecological relevance, the diversity and spatial distribution of butterflies across its scenic and roadside habitats remain unexplored to date.We assessed butterfly species richness, assemblage composition, and diversity through structured sampling using the purposive point count method across different seasons. Despite the small size of the study area, a total of 2295 individual butterflies belonging to 101 species representing all six families were recorded from August 2023 to July 2024, with Nymphalidae and Riodinidae emerging as the most and least dominant families in terms of species and individuals. Butterfly distribution was uneven in both habitats, showing greater abundance, species richness, and diversity during the dry season. Among the recorded species, two were listed on the IUCN Red List, while six were classified as threatened under Schedules I, II, and IV of India's Wild Life (Protection) Act, 1972. This study provides the first comprehensive documentation of butterfly diversity in rural-urban habitats around university campuses, revealing striking seasonal variations and notable species richness in the region. Our findings indicate that tropical and subtropical university campuses can function as biodiversity refugia in urban settings through the maintenance of green spaces, cultivation of native flora, preservation of air quality, and adoption of organic management practices.","url":"https://doi.org/10.6084/m9.figshare.29321930.v1","authors":["Rahman, Seydur","Biswas, Bhaskar"],"tags":["Population ecology"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.6084/m9.figshare.29321930.v1","addedAt":"2026-08-31T06:39:48.856Z","updatedAt":"2026-08-31T06:39:48.856Z"},{"id":"doi:10.6084/m9.figshare.29321930","name":"Data and code for: Population dynamics of butterflies in rural‒urban ecosystems: A case study at Assam down town University in the northeastern region of India","source":"datacite","abstract":"Butterflies serve as valuable bioindicators for assessing ecosystem health due to their sensitivity to habitat changes, rapid life cycles, and extensive mobility. University campuses are increasingly acknowledged as important refuges for butterfly populations, yet their role in supporting butterfly diversity and conservation remains understudied. The Assam down town University campus, situated in the biodiverse northeastern region of India, holds significant biogeographic importance for faunal studies. However, despite its ecological relevance, the diversity and spatial distribution of butterflies across its scenic and roadside habitats remain unexplored to date.We assessed butterfly species richness, assemblage composition, and diversity through structured sampling using the purposive point count method across different seasons. Despite the small size of the study area, a total of 2295 individual butterflies belonging to 101 species representing all six families were recorded from August 2023 to July 2024, with Nymphalidae and Riodinidae emerging as the most and least dominant families in terms of species and individuals. Butterfly distribution was uneven in both habitats, showing greater abundance, species richness, and diversity during the dry season. Among the recorded species, two were listed on the IUCN Red List, while six were classified as threatened under Schedules I, II, and IV of India's Wild Life (Protection) Act, 1972. This study provides the first comprehensive documentation of butterfly diversity in rural-urban habitats around university campuses, revealing striking seasonal variations and notable species richness in the region. Our findings indicate that tropical and subtropical university campuses can function as biodiversity refugia in urban settings through the maintenance of green spaces, cultivation of native flora, preservation of air quality, and adoption of organic management practices.","url":"https://doi.org/10.6084/m9.figshare.29321930","authors":["Rahman, Seydur","Biswas, Bhaskar"],"tags":["Population ecology"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.6084/m9.figshare.29321930","addedAt":"2026-08-31T06:39:48.856Z","updatedAt":"2026-08-31T06:39:48.856Z"},{"id":"doi:10.5281/zenodo.15619072","name":"Health Behavior through Cultural Context and Behavior Change Models in Myanmar","source":"datacite","abstract":"[Book] Principles of Modern Medicine and Health Science Chapter 2 Health Behavior through Cultural Context and Behavior Change Models in Myanmar (pp. 33 - 56) Abstract Health behaviors are influenced by culture, beliefs, and access to healthcare. Myanmar is a deeply spiritual and traditional location; therefore, health behavior needs to be understood through a cultural lens. This chapter discusses the health behavior influenced by culture and psychological models of health behavior including the Health Belief Model (HBM), and COM-B (Capability, Opportunity, Motivation—Behavior). The chapter is based on real world experience working in healthcare community in Myanmar and illustrates how cultural practices impact decisions to seek health care-including delaying care, complex relationships with hearing the health messages, and the continued importance upon individuals accepted practices that came from ancestors. A HBM is reviewed to demonstrate the beliefs about susceptibility and severity of being unwell or ill including the behavioral comprehend, perceived barriers, and self-efficacy to behave differently to seek care, and the COM-B model used for the areas of opportunities, and how (using the HBM and COM-B as an integrated model for guiding theory) capability and motivation were all used to alter attitudes and behaviors strategically for sustainable change through different community capacity building methods. Examples are provided including intervention examples or in real-life scenarios and local strategies through culturally sensitive language adaptation, and indirectly through community dialogue with traditional healers, storytelling, and culturally relevant education methods. The chapter ends with suggestions to use to promote the importance of integrating culturally competent care and traditional practices while incorporating evidence-based practices with implications intended for future projects. 1. Introduction Health behavior in culturally rich communities such as Myanmar, must be considered in ways that transcend applying universal health models or standardized public health approaches. As a cultural backdrop, culture doesn't function as a mere passive determinant of health; it acts as a determinant that shapes people's understanding of symptoms, assessment of treatment options, and engagement with health systems (Handtke et al., 2019; EuroMed Info, 2019). In Myanmar, where they adhere and understand the deep connections between religious beliefs, communal beliefs, and traditional knowledge systems, cultural determinants need to be included in health behavior models for health interventions to be efficacious. In rural and peri-urban contexts in Myanmar, for example, individuals may defer engaging with a formal health service because of being influenced by social constructions of illness as related to a spiritual cause or taking on circumstance associated with karmic actions in one's sob. This influences not only the individual's treatment choices, but also when they engage with the health care service, and how much they trust biomedical service providers to ameliorate their health. Furthermore, health education messages that do not respect these cultural frames are rejected outright by individuals as foreign or irrelevant no matter how science-based they are. The purpose of this chapter is to examine the intersections of culture and health behavior through a synthesis of the lessons learned from fieldwork in Myanmar and several theoretical models such as the Health Belief Model (HBM) (Ogden, 2019) and the COM-B model (Capability, Opportunity, Motivation—Behavior) (Michie et al., 2011). These models offer structured pathways for exploring how beliefs, capabilities, social contexts, and motivations affect health decisions. Ultimately, through consideration of both models in situ with the lived realities of Myanmar communities, this chapter discusses culturally adaptive, sustainable, and respectful strategies that may b","url":"https://doi.org/10.5281/zenodo.15619072","authors":["Aung, Htet Lin","Thiri, Htay","Win, Nway Yee"],"tags":["Health Belief Model (HBM)","COM-B Framework","Cultural Health Behavior","Culturally Competent Care","Myanmar Public Health"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.15619072","addedAt":"2026-08-31T06:39:48.856Z","updatedAt":"2026-08-31T06:39:57.286Z"},{"id":"doi:10.5281/zenodo.15619073","name":"Health Behavior through Cultural Context and Behavior Change Models in Myanmar","source":"datacite","abstract":"[Book] Principles of Modern Medicine and Health Science Chapter 2 Health Behavior through Cultural Context and Behavior Change Models in Myanmar (pp. 33 - 56) Abstract Health behaviors are influenced by culture, beliefs, and access to healthcare. Myanmar is a deeply spiritual and traditional location; therefore, health behavior needs to be understood through a cultural lens. This chapter discusses the health behavior influenced by culture and psychological models of health behavior including the Health Belief Model (HBM), and COM-B (Capability, Opportunity, Motivation—Behavior). The chapter is based on real world experience working in healthcare community in Myanmar and illustrates how cultural practices impact decisions to seek health care-including delaying care, complex relationships with hearing the health messages, and the continued importance upon individuals accepted practices that came from ancestors. A HBM is reviewed to demonstrate the beliefs about susceptibility and severity of being unwell or ill including the behavioral comprehend, perceived barriers, and self-efficacy to behave differently to seek care, and the COM-B model used for the areas of opportunities, and how (using the HBM and COM-B as an integrated model for guiding theory) capability and motivation were all used to alter attitudes and behaviors strategically for sustainable change through different community capacity building methods. Examples are provided including intervention examples or in real-life scenarios and local strategies through culturally sensitive language adaptation, and indirectly through community dialogue with traditional healers, storytelling, and culturally relevant education methods. The chapter ends with suggestions to use to promote the importance of integrating culturally competent care and traditional practices while incorporating evidence-based practices with implications intended for future projects. 1. Introduction Health behavior in culturally rich communities such as Myanmar, must be considered in ways that transcend applying universal health models or standardized public health approaches. As a cultural backdrop, culture doesn't function as a mere passive determinant of health; it acts as a determinant that shapes people's understanding of symptoms, assessment of treatment options, and engagement with health systems (Handtke et al., 2019; EuroMed Info, 2019). In Myanmar, where they adhere and understand the deep connections between religious beliefs, communal beliefs, and traditional knowledge systems, cultural determinants need to be included in health behavior models for health interventions to be efficacious. In rural and peri-urban contexts in Myanmar, for example, individuals may defer engaging with a formal health service because of being influenced by social constructions of illness as related to a spiritual cause or taking on circumstance associated with karmic actions in one's sob. This influences not only the individual's treatment choices, but also when they engage with the health care service, and how much they trust biomedical service providers to ameliorate their health. Furthermore, health education messages that do not respect these cultural frames are rejected outright by individuals as foreign or irrelevant no matter how science-based they are. The purpose of this chapter is to examine the intersections of culture and health behavior through a synthesis of the lessons learned from fieldwork in Myanmar and several theoretical models such as the Health Belief Model (HBM) (Ogden, 2019) and the COM-B model (Capability, Opportunity, Motivation—Behavior) (Michie et al., 2011). These models offer structured pathways for exploring how beliefs, capabilities, social contexts, and motivations affect health decisions. Ultimately, through consideration of both models in situ with the lived realities of Myanmar communities, this chapter discusses culturally adaptive, sustainable, and respectful strategies that may b","url":"https://doi.org/10.5281/zenodo.15619073","authors":["Aung, Htet Lin","Thiri, Htay","Win, Nway Yee"],"tags":["Health Belief Model (HBM)","COM-B Framework","Cultural Health Behavior","Culturally Competent Care","Myanmar Public Health"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.15619073","addedAt":"2026-08-31T06:39:48.856Z","updatedAt":"2026-08-31T06:39:57.286Z"},{"id":"doi:10.5281/zenodo.14990926","name":"India ISIN Database, by Nemo","source":"datacite","abstract":"Additions The following new ISINs were added: ISIN|Description|Issuer|Type|Status ----|-----------|------|---------------|------ IN902DC03010|APAC FINANCIAL SERVICES PRIVATE LIMITED 0.0001% PARTLY PAID PREF 28JN30|APAC FINANCIAL SERVICES PRIVATE LIMITED|PREFERENCE 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Abhay"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.14990926","addedAt":"2026-08-31T06:39:48.856Z","updatedAt":"2026-08-31T06:39:52.575Z"},{"id":"doi:10.5281/zenodo.13905513","name":"India ISIN Database, by Nemo","source":"datacite","abstract":"Additions The following new ISINs were added: ISIN|Description|Issuer|Type|Status ----|-----------|------|---------------|------ IN0020240126|GOVERNMENT OF INDIA 35031 GOI 07OT34 6.79 FV RS 100||GOVERNMENT SECURITIES|Active INE00NI20015|USHANTI COLOUR CHEM LIMITED RES - EQ RS. 10/-|USHANTI COLOUR CHEM LIMITED|RIGHTS ENTITLEMENT|Active INE01HV14565|VIVRITI CAPITAL LIMITED 91D CP 08JAN25|VIVRITI CAPITAL LIMITED|COMMERCIAL PAPER|Active INE01YL14124|EARLYSALARY SERVICES PRIVATE LIMITED 120D CP 05FEB25|EARLYSALARY SERVICES PRIVATE LIMITED|COMMERCIAL PAPER|Active INE02PG07637|A B T LIMITED SR SE24 12 NCD 23SP27 FVRS1000|A B T LIMITED|DEBENTURE|Active INE02XC08026|BAJAJ INTERNATIONAL REALTY PRIVATE 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IN1020250099|STATE DEVELOPMENT LOAN 35953 AP 07MY36 6.79 FV RS 100||GOVERNMENT SECURITIES|Active IN1020250107|STATE DEVELOPMENT LOAN 35954 AP 07MY37 6.74 FV RS 100||GOVERNMENT SECURITIES|Active IN1220250022|STATE DEVELOPMENT LOAN 35955 ASM 07MY45 6.79 FV RS 100||GOVERNMENT SECURITIES|Active IN1520250011|STATE DEVELOPMENT LOAN 35956 GUJ 07MY32 6.61 FV RS 100||GOVERNMENT SECURITIES|Active IN1520250029|STATE DEVELOPMENT LOAN 35957 GUJ 07MY33 6.68 FV RS 100||GOVERNMENT SECURITIES|Active IN2020250022|STATE DEVELOPMENT LOAN 35958 KER 07MY40 6.78 FV RS 100||GOVERNMENT SECURITIES|Active IN2120250013|STATE DEVELOPMENT LOAN 35959 MP 07MY37 6.77 FV RS 100||GOVERNMENT SECURITIES|Active IN2120250021|STATE DEVELOPMENT LOAN 35960 MP 07MY39 6.77 FV RS 100||GOVERNMENT SECURITIES|Active IN2820250040|STATE DEVELOPMENT LOAN 35961 PJB 07MY45 6.79 FV RS 100||GOVERNMENT SECURITIES|Active IN3120250037|STATE DEVELOPMENT LOAN 35962 TN 07MY31 6.54 FV RS 100||GOVERNMENT SECURITIES|Active IN4520250064|STATE DEVELOPMENT LOAN 35963 TLG 07MY53 6.79 FV RS 100||GOVERNMENT SECURITIES|Active IN4520250072|STATE DEVELOPMENT LOAN 35964 TLG 07MY57 6.8 FV RS 100||GOVERNMENT SECURITIES|Active IN911Q101016|ONCO-LIFE CANCER CENTRE PRIVATE LIMITED EQ PP RS.5/-|ONCO-LIFE CANCER CENTRE PRIVATE LIMITED|EQUITY SHARES|Active INE00J008017|ACB MINING PRIVATE LIMITED 0.1 CCD 14NV34 FVRS10|ACB MINING PRIVATE LIMITED|DEBENTURE|Active INE018A14LL1|LARSEN AND TOUBRO LIMITED 90D CP 05AUG25|LARSEN AND TOUBRO LIMITED|COMMERCIAL PAPER|Active INE01F501030|WASP PUMPS PRIVATE LIMITED EQ CLASS A FV RS. 10/-|WASP PUMPS PRIVATE LIMITED|EQUITY SHARES|Active INE01R507033|VIKRAN ENGINEERING LIMITED TR 1 12 NCD 17JL26 FVRS50LAC|VIKRAN ENGINEERING LIMITED|DEBENTURE|Active INE01R507041|VIKRAN ENGINEERING LIMITED TR II 12 NCD 24JL26 FVRS50LAC|VIKRAN ENGINEERING LIMITED|DEBENTURE|Active INE01WI07557|INCRED CAPITAL FINANCIAL SERVICES LIMITED SR LII BR 28JL28 FVRS1LAC|INCRED CAPITAL FINANCIAL SERVICES LIMITED|DEBENTURE|Active INE028A16IP2|BANK OF BARODA CD 06AUG25|BANK OF BARODA|CERTIFICATE OF DEPOSIT|Active INE03BG08286|SHOPSENSE RETAIL TECHNOLOGIES LIMITED OCD 28MR35 FVRS100|SHOPSENSE RETAIL TECHNOLOGIES LIMITED|DEBENTURE|Active INE03CO07AY7|PUNJAB KASHMIR FINANCE LIMITED SR 57 8.6 NCD 28FB28 FVRS1000|PUNJAB KASHMIR FINANCE LIMITED|DEBENTURE|Active INE043T08058|SOLAIRE POWER PRIVATE LIMITED SR I 15 CCD 17MR35 FVRS10|SOLAIRE POWER PRIVATE LIMITED|DEBENTURE|Active INE043T08066|SOLAIRE POWER PRIVATE LIMITED 15 NCD 17MR35 FVRS10|SOLAIRE POWER PRIVATE LIMITED|DEBENTURE|Active INE043T08074|SOLAIRE POWER PRIVATE LIMITED 15 CCD 17MR35 FVRS10|SOLAIRE POWER PRIVATE LIMITED|DEBENTURE|Active INE051307BT8|CHEMMANUR CREDITS AND INVESTMENTS LIMITED SR IV TR CCILNCDVI 12 NCD 18JU30 FVRS1000|CHEMMANUR CREDITS AND INVESTMENTS LIMITED|DEBENTURE|Active INE051307BU6|CHEMMANUR CREDITS AND INVESTMENTS LIMITED SR III TR CCILNCDVI 11.30 NCD 17JU28 FVRS1000|CHEMMANUR CREDITS AND INVESTMENTS LIMITED|DEBENTURE|Active INE051307BV4|CHEMMANUR CREDITS AND INVESTMENTS LIMITED SR VII TR CCILNCDVI NCD 18AP31 FVRS1000|CHEMMANUR CREDITS AND INVESTMENTS LIMITED|DEBENTURE|Active INE051307BW2|CHEMMANUR CREDITS AND INVESTMENTS LIMITED SR V TR CCILNCDVI NCD 19JU26 FVRS1000|CHEMMANUR CREDITS AND INVESTMENTS LIMITED|DEBENTURE|Active INE087107673|ABANS JEW","url":"https://doi.org/10.5281/zenodo.15360472","authors":["Rana, Abhay"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.15360472","addedAt":"2026-08-31T06:39:48.856Z","updatedAt":"2026-08-31T06:39:52.575Z"},{"id":"doi:10.5281/zenodo.10819201","name":"India ISIN Database, by Nemo","source":"datacite","abstract":"This file is truncated due to GitHub limitations. please see the attached release.md file for complete notes Additions The following new ISINs were added: ISIN|Description|Issuer|Type|Status ----|-----------|------|---------------|------ IN002023X534|GOVERNMENT OF INDIA 34063 091 DAYS TBILL 13JU24 FV RS 100||TREASURY BILLS|Active IN002023Y524|GOVERNMENT OF INDIA 34064 182 DAYS TBILL 12SP24 FV RS 100||TREASURY BILLS|Active IN002023Z539|GOVERNMENT OF INDIA 34065 364 DAYS TBILL 13MR25 FV RS 100||TREASURY BILLS|Active IN1120230033|STATE DEVELOPMENT LOAN 34066 ARN 13MR34 7.41 FV RS 100||GOVERNMENT SECURITIES|Active IN1320230247|STATE DEVELOPMENT LOAN 34067 BH 13MR39 7.39 FV RS 100||GOVERNMENT SECURITIES|Active IN1620230400|STATE DEVELOPMENT LOAN 34071 HAR 13MR35 7.38 FV RS 100||GOVERNMENT SECURITIES|Active IN1720230128|STATE DEVELOPMENT LOAN 34072 HP 13MR34 7.39 FV RS 100||GOVERNMENT SECURITIES|Active IN1720230136|STATE DEVELOPMENT LOAN 34073 HP 13MR36 7.41 FV RS 100||GOVERNMENT SECURITIES|Active IN1920230316|STATE DEVELOPMENT LOAN 34075 KAR 13MR34 7.36 FV RS 100||GOVERNMENT SECURITIES|Active IN1920230324|STATE DEVELOPMENT LOAN 34076 KAR 13MR37 7.37 FV RS 100||GOVERNMENT SECURITIES|Active IN1920230332|STATE DEVELOPMENT LOAN 34077 KAR 13MR38 7.37 FV RS 100||GOVERNMENT SECURITIES|Active IN2020230222|STATE DEVELOPMENT LOAN 34087 KER 13MR34 7.39 FV RS 100||GOVERNMENT SECURITIES|Active IN2020230230|STATE DEVELOPMENT LOAN 34088 KER 13MR44 7.38 FV RS 100||GOVERNMENT SECURITIES|Active IN2020230248|STATE DEVELOPMENT LOAN 34089 KER 13MR54 7.36 FV RS 100||GOVERNMENT SECURITIES|Active IN2920230496|STATE DEVELOPMENT LOAN 34080 RAJ 13MR34 7.37 FV RS 100||GOVERNMENT SECURITIES|Active IN2920230504|STATE DEVELOPMENT LOAN 34081 RAJ 13MR45 7.37 FV RS 100||GOVERNMENT SECURITIES|Active IN3120230476|STATE DEVELOPMENT LOAN 34082 TN 13MR54 7.36 FV RS 100||GOVERNMENT SECURITIES|Active IN3320230284|STATE DEVELOPMENT LOAN 34090 UP 13MR34 7.38 FV RS 100||GOVERNMENT SECURITIES|Active IN3320230292|STATE DEVELOPMENT LOAN 34091 UP 13MR36 7.38 FV RS 100||GOVERNMENT SECURITIES|Active IN3420230267|STATE DEVELOPMENT LOAN 34085 WB 13MR42 7.39 FV RS 100||GOVERNMENT SECURITIES|Active IN3420230275|STATE DEVELOPMENT LOAN 34086 WB 13MR44 7.39 FV RS 100||GOVERNMENT SECURITIES|Active IN3520230233|STATE DEVELOPMENT LOAN 34068 CHT 13MR32 7.38 FV RS 100||GOVERNMENT SECURITIES|Active IN3520230241|STATE DEVELOPMENT LOAN 34069 CHT 13MR33 7.39 FV RS 100||GOVERNMENT SECURITIES|Active IN3520230258|STATE DEVELOPMENT LOAN 34070 CHT 13MR34 7.38 FV RS 100||GOVERNMENT SECURITIES|Active IN3820230040|STATE DEVELOPMENT LOAN 34078 PDC 13MR26 7.29 FV RS 100||GOVERNMENT SECURITIES|Active IN3820230057|STATE DEVELOPMENT LOAN 34079 PDC 13MR38 7.38 FV RS 100||GOVERNMENT SECURITIES|Active IN4520230462|STATE DEVELOPMENT LOAN 34083 TLG 13MR41 7.37 FV RS 100||GOVERNMENT SECURITIES|Active IN4520230470|STATE DEVELOPMENT LOAN 34084 TLG 13MR50 7.36 FV RS 100||GOVERNMENT SECURITIES|Active IN4920230260|STATE DEVELOPMENT LOAN 34074 J&K 13MR49 7.36 FV RS 100||GOVERNMENT SECURITIES|Active IN90M8D03016|ADITYA BIRLA DIGITAL FASHION VENTURES LIMITED 7% PARTLY PAID PREF 11OT26|ADITYA BIRLA DIGITAL FASHION VENTURES LIMITED|PREFERENCE SHARES|Active INE013U14248|GLOBE FINCAP LIMITED 365D CP 12MAR25|GLOBE FINCAP LIMITED|COMMERCIAL PAPER|Active INE019A08058|JSW STEEL LIMITED 8.39 NCD 13MY27 FVRS1LAC|JSW STEEL LIMITED|DEBENTURE|Active INE01C314767|BAJAJ FINANCIAL SECURITIES LIMITED 91D CP 14JUN24|BAJAJ FINANCIAL SECURITIES LIMITED|COMMERCIAL PAPER|Active INE01EQ07095|ADANI CAPITAL PRIVATE LIMITED SR A 9.75 NCD 18MR27 FVRS1LAC|ADANI CAPITAL PRIVATE LIMITED|DEBENTURE|Active INE01EQ07103|ADANI CAPITAL PRIVATE LIMITED SR B 9.75 NCD 18FB27 FVRS1LAC|ADANI CAPITAL PRIVATE LIMITED|DEBENTURE|Active INE027214589|BOBCARD LIMITED 91D CP 11JUN24|BOBCARD LIMITED|COMMERCIAL PAPER|Active INE028E14NK0|KOTAK SECURITIES LTD 91D CP 12JUN24|KOTAK SECURITIES LTD|COMMERCIAL PAPER|Active INE028E14NL8|KOTAK SECURITIES LTD 91D CP 14JUN24|KOTAK SE","url":"https://doi.org/10.5281/zenodo.10819201","authors":["Rana, Abhay"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.5281/zenodo.10819201","addedAt":"2026-08-31T06:39:48.856Z","updatedAt":"2026-08-31T06:39:48.856Z"},{"id":"doi:10.5281/zenodo.15098258","name":"India ISIN Database, by Nemo","source":"datacite","abstract":"Additions The following new ISINs were added: ISIN|Description|Issuer|Type|Status ----|-----------|------|---------------|------ IN912BI03010|STANPLUS TECHNOLOGIES PRIVATE LIMITED 0.01% SERIES B1 PARTLY PAID PREF 03MR31|STANPLUS TECHNOLOGIES PRIVATE LIMITED|PREFERENCE SHARES|Active INE00VW08071|SKYZEN INFRABUILD PRIVATE LIMITED 0.0100 CCD 21FB45 FVRS10|SKYZEN INFRABUILD PRIVATE LIMITED|DEBENTURE|Active INE01KX01018|ATS GRAND REALTORS PRIVATE LIMITED EQ|ATS GRAND REALTORS PRIVATE LIMITED|EQUITY SHARES|Active INE01L201047|NIVARA HOME FINANCE LIMITED EQ CLASS B2 DVR FV RS.10/-|NIVARA HOME FINANCE LIMITED|EQUITY SHARES|Active INE01QA03019|ROOP AUTOMOTIVES LIMITED 0.001% CLASS B PERF 16FEB26|ROOP AUTOMOTIVES LIMITED|PREFERENCE SHARES|Active INE01WI07508|INCRED CAPITAL FINANCIAL SERVICES LIMITED SR XLVIB BR NCD 26JL27 FVRS1LAC|INCRED CAPITAL FINANCIAL SERVICES LIMITED|DEBENTURE|Active INE02A207640|PRODIGEE FINANCE LIMITED SR LVI 12 NCD 16FB31 FVRS1000|PRODIGEE FINANCE LIMITED|DEBENTURE|Active INE031A08954|HOUSING AND URBAN DEVELOPMENT CORPORATION LIMITED SR G 7.19 NCD 27MR35 FVRS1LAC|HOUSING AND URBAN DEVELOPMENT CORPORATION LIMITED|DEBENTURE|Active INE040407376|MAXVALUE CREDITS AND INVESTMENTS LIMITED SR E7 11.50 NCD 29JN27 FVRS 1000|MAXVALUE CREDITS AND INVESTMENTS LIMITED|DEBENTURE|Active INE04HY07229|VEDIKA CREDIT CAPITAL LTD 12 NCD 04AP29 FVRS1LAC|VEDIKA CREDIT CAPITAL LTD|DEBENTURE|Active INE053F08486|INDIAN RAILWAY FINANCE CORPORATION LIMITED SR 188 7.17 BD 27AP35 FVRS1LAC|INDIAN RAILWAY FINANCE CORPORATION LIMITED|BOND|Active INE063P16AY6|EQUITAS SMALL FINANCE BANK LIMITED CD 26MAR26|EQUITAS SMALL FINANCE BANK LIMITED|CERTIFICATE OF DEPOSIT|Active INE071G14GQ6|ICICI HOME FINANCE COMPANY LIMITED 91D CP 27JUN25|ICICI HOME FINANCE COMPANY LIMITED|COMMERCIAL PAPER|Active INE084A16DL5|BANK OF INDIA CD 26JUN25|BANK OF INDIA|CERTIFICATE OF DEPOSIT|Active INE08UY08015|RENEW SUN WAVES PRIVATE LIMITED 9.5 OCD 01MR30 FVRS100|RENEW SUN WAVES PRIVATE LIMITED|DEBENTURE|Active INE08X507475|BHANIX FINANCE AND INVESTMENT LIMITED 14 NCD 29AP26 FVRS1LAC|BHANIX FINANCE AND INVESTMENT LIMITED|DEBENTURE|Active INE092T16YC3|IDFC FIRST BANK LIMITED CD 25APR25|IDFC FIRST BANK LIMITED|CERTIFICATE OF DEPOSIT|Active INE092T16YD1|IDFC FIRST BANK LIMITED CD 25JUN25|IDFC FIRST BANK LIMITED|CERTIFICATE OF DEPOSIT|Active INE092T16YE9|IDFC FIRST BANK LIMITED CD 24JUN25|IDFC FIRST BANK LIMITED|CERTIFICATE OF DEPOSIT|Active INE092T16YF6|IDFC FIRST BANK LIMITED CD 26JUN25|IDFC FIRST BANK LIMITED|CERTIFICATE OF DEPOSIT|Active INE09T401021|VARUTHA DEVELOPERS PRIVATE LIMITED EQ NEW FV RS. 10/-|VARUTHA DEVELOPERS PRIVATE LIMITED|EQUITY SHARES|Active INE0DJW07024|GREENKO AP01 IREP PRIVATE LIMITED 12.50 NCD 27MR40 FVRS1LAC|GREENKO AP01 IREP PRIVATE LIMITED|DEBENTURE|Active INE0HD807256|EVANGELOS VENTURES PRIVATE LIMITED SR 4 5.5 NCD 30JU25 FVRS 756046|EVANGELOS VENTURES PRIVATE LIMITED|DEBENTURE|Active INE0HD807264|EVANGELOS VENTURES PRIVATE LIMITED RR NCD 30JU26 FVRS756046|EVANGELOS VENTURES PRIVATE LIMITED|DEBENTURE|Active INE0HD807272|EVANGELOS VENTURES PRIVATE LIMITED SR 5 5.5 NCD 30JU25 FVRS756046|EVANGELOS VENTURES PRIVATE LIMITED|DEBENTURE|Active INE0HD807280|EVANGELOS VENTURES PRIVATE LIMITED SR 3 RR NCD 30JU26 FVRS756046|EVANGELOS VENTURES PRIVATE LIMITED|DEBENTURE|Active INE0HD807298|EVANGELOS VENTURES PRIVATE LIMITED SR 7 5.5 NCD 30JU25 FVRS10LAC|EVANGELOS VENTURES PRIVATE LIMITED|DEBENTURE|Active INE0HD807306|EVANGELOS VENTURES PRIVATE LIMITED SR 9 5.5 NCD 30JU25 FVRS10LAC|EVANGELOS VENTURES PRIVATE LIMITED|DEBENTURE|Active INE0HOM01011|SHRIDHARA INFRATECH PRIVATE LIMITED EQ CLASS B|SHRIDHARA INFRATECH PRIVATE LIMITED|EQUITY SHARES|Active INE0HOM01029|SHRIDHARA INFRATECH PRIVATE LIMITED EQ CLASS A|SHRIDHARA INFRATECH PRIVATE LIMITED|EQUITY SHARES|Active INE0KUG08068|NATIONAL BANK FOR FINANCING INFRASTRUCTURE AND DEVELOPMENT SR 4 BD 28MR35 FVRS1LAC|NATIONAL BANK FOR FINANCING INFRASTRUCTURE AND DEVELOPMENT|BOND|Active INE0M7D01013|HYKON INDIA LIMITED EQ|HY","url":"https://doi.org/10.5281/zenodo.15098258","authors":["Rana, Abhay"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.15098258","addedAt":"2026-08-31T06:39:48.856Z","updatedAt":"2026-08-31T06:39:52.575Z"},{"id":"doi:10.5281/zenodo.14559646","name":"India ISIN Database, by Nemo","source":"datacite","abstract":"Additions The following new ISINs were added: ISIN|Description|Issuer|Type|Status ----|-----------|------|---------------|------ IN002024X383|GOVERNMENT OF INDIA 35375 091 DAYS TBILL 28MR25 FV RS 100||TREASURY BILLS|Active IN002024Y373|GOVERNMENT OF INDIA 35376 182 DAYS TBILL 27JU25 FV RS 100||TREASURY BILLS|Active IN002024Z370|GOVERNMENT OF INDIA 35377 364 DAYS TBILL 26DC25 FV RS 100||TREASURY BILLS|Active IN1220240130|STATE DEVELOPMENT LOAN 35378 ASM 26DC34 7.19 FV RS 100||GOVERNMENT SECURITIES|Active IN1320240162|STATE DEVELOPMENT LOAN 35379 BH 26DC34 7.15 FV RS 100||GOVERNMENT SECURITIES|Active IN1520240103|STATE DEVELOPMENT LOAN 35380 GUJ 26DC33 7.11 FV RS 100||GOVERNMENT SECURITIES|Active IN1620240235|STATE DEVELOPMENT LOAN 35381 HAR 26DC37 7.16 FV RS 100||GOVERNMENT SECURITIES|Active IN1920240141|STATE DEVELOPMENT LOAN 35383 KAR 26DC40 7.16 FV RS 100||GOVERNMENT SECURITIES|Active IN2120240113|STATE DEVELOPMENT LOAN 35384 MP 26DC41 7.17 FV RS 100||GOVERNMENT SECURITIES|Active IN2120240121|STATE DEVELOPMENT LOAN 35385 MP 26DC45 7.14 FV RS 100||GOVERNMENT SECURITIES|Active IN2320240053|STATE DEVELOPMENT LOAN 35386 MAN 26DC39 7.15 FV RS 100||GOVERNMENT SECURITIES|Active IN2620240027|STATE DEVELOPMENT LOAN 35387 NAG 26DC34 7.15 FV RS 100||GOVERNMENT SECURITIES|Active IN3120240459|STATE DEVELOPMENT LOAN 35389 TN 26DC29 7.03 FV RS 100||GOVERNMENT SECURITIES|Active IN3120240467|STATE DEVELOPMENT LOAN 35390 TN 26DC34 7.11 FV RS 100||GOVERNMENT SECURITIES|Active IN3120240475|STATE DEVELOPMENT LOAN 35391 TN 26DC44 7.14 FV RS 100||GOVERNMENT SECURITIES|Active IN3320240051|STATE DEVELOPMENT LOAN 35392 UP 26DC39 7.16 FV RS 100||GOVERNMENT SECURITIES|Active IN3420240167|STATE DEVELOPMENT LOAN 35394 WB 26DC39 7.16 FV RS 100||GOVERNMENT SECURITIES|Active IN3420240175|STATE DEVELOPMENT LOAN 35395 WB 26DC42 7.17 FV RS 100||GOVERNMENT SECURITIES|Active IN3620240058|STATE DEVELOPMENT LOAN 35393 UKD 26DC30 7.15 FV RS 100||GOVERNMENT SECURITIES|Active IN3820240049|STATE DEVELOPMENT LOAN 35388 PDC 26DC35 7.14 FV RS 100||GOVERNMENT SECURITIES|Active IN4920240202|STATE DEVELOPMENT LOAN 35382 J&K 26DC51 7.14 FV RS 100||GOVERNMENT SECURITIES|Active IN901A201014|JM FINANCIAL HOME LOANS LIMITED EQ PP RS. 2.50/-|JM FINANCIAL HOME LOANS LIMITED|EQUITY SHARES|Active IN901HK01010|JAGARAN MICROFIN PRIVATE LIMITED EQ PP RS. 2.50/-|JAGARAN MICROFIN PRIVATE LIMITED|EQUITY SHARES|Active IN903AS01097|NATIONAL SPOT EXCHANGE LIMITED EQ PP RS. 2.50/-|NATIONAL SPOT EXCHANGE LIMITED|EQUITY SHARES|Active IN9563X03023|SOCIAL WORTH TECHNOLOGIES PRIVATE LIMITED 0.001% SERIES A PARTLY PAID PREF 30JU30|SOCIAL WORTH TECHNOLOGIES PRIVATE LIMITED|PREFERENCE SHARES|Active IN9563X03031|SOCIAL WORTH TECHNOLOGIES PRIVATE LIMITED 0.01% SERIES C1 PARTLY PAID PREF 10MY30|SOCIAL WORTH TECHNOLOGIES PRIVATE LIMITED|PREFERENCE SHARES|Active INE028A16HG3|BANK OF BARODA CD 24JAN25|BANK OF BARODA|CERTIFICATE OF DEPOSIT|Active INE028A16HH1|BANK OF BARODA CD 14JAN25|BANK OF BARODA|CERTIFICATE OF DEPOSIT|Active INE02FN14358|IGH HOLDINGS PRIVATE LIMITED 74D CP 10MAR25|IGH HOLDINGS PRIVATE LIMITED|COMMERCIAL PAPER|Active INE031A08921|HOUSING AND URBAN DEVELOPMENT CORPORATION LIMITED SR D 7.12 NCD 26DC34 FVRS1LAC|HOUSING AND URBAN DEVELOPMENT CORPORATION LIMITED|DEBENTURE|Active INE033L07IL7|TATA CAPITAL HOUSING FINANCE LIMITED SR E 7.685 NCD 24JL28 FVRS1LAC|TATA CAPITAL HOUSING FINANCE LIMITED|DEBENTURE|Active INE04MH07034|APTUS FINANCE INDIA PRIVATE LIMITED RR NCD 31DC28 FVRS1LAC|APTUS FINANCE INDIA PRIVATE LIMITED|DEBENTURE|Active INE053F08452|INDIAN RAILWAY FINANCE CORPORATION LIMITED SR 185 7.15 BD 27DC34 FVRS1LAC|INDIAN RAILWAY FINANCE CORPORATION LIMITED|BOND|Active INE05XQ14126|TVS MOBILITY PRIVATE LIMITED 45D CP 10FEB25|TVS MOBILITY PRIVATE LIMITED|COMMERCIAL PAPER|Active INE05XQ14134|TVS MOBILITY PRIVATE LIMITED 31D CP 27JAN25|TVS MOBILITY PRIVATE LIMITED|COMMERCIAL PAPER|Active INE066R14739|YES SECURITIES (INDIA) LIMITED 76D CP 13MAR25|YES SECURITIES (INDIA) LIMITED|COMMERCIAL PAPE","url":"https://doi.org/10.5281/zenodo.14559646","authors":["Rana, Abhay"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.5281/zenodo.14559646","addedAt":"2026-08-31T06:39:48.856Z","updatedAt":"2026-08-31T06:39:48.856Z"},{"id":"doi:10.5281/zenodo.14837852","name":"India ISIN Database, by Nemo","source":"datacite","abstract":"Additions The following new ISINs were added: ISIN|Description|Issuer|Type|Status ----|-----------|------|---------------|------ IN90GSZ03010|MOEVING URBAN TECHNOLOGIES PRIVATE LIMITED 0.01% SERIES A PARTLY PAID PREF 03JU43|MOEVING URBAN TECHNOLOGIES PRIVATE LIMITED|PREFERENCE SHARES|Active IN90S7V03022|CURE AND CARE WELLNESS PRIVATE LIMITED 0.01% SERIES B1 PREF PARTLY PAID 09AP44|CURE AND CARE WELLNESS PRIVATE LIMITED|PREFERENCE SHARES|Active IN91CF103012|MARKET PULSE TECHNOLOGIES PRIVATE LIMITED 0.001% PRE-SERIES A3 PARLTY PAID PREF 21NV42|MARKET PULSE TECHNOLOGIES PRIVATE LIMITED|PREFERENCE SHARES|Active IN91EMO03010|CAPGRID SOLUTIONS PRIVATE LIMITED 0.01% SERIES Z PARTLY PAID PREF 11AG43|CAPGRID SOLUTIONS PRIVATE LIMITED|PREFERENCE SHARES|Active INE03HW13017|VL E-GOVERNANCE & IT SOLUTIONS LIMITED WARRANTS 15JL26|VL E-GOVERNANCE & IT SOLUTIONS LIMITED|WARRANT|Active INE041014049|EMBASSY OFFICE PARKS REIT 364D CP 12FEB26|EMBASSY OFFICE PARKS REIT|COMMERCIAL PAPER|Active INE06E503123|HELLA INFRA MARKET LIMITED 0.01% SERIES C2 PREF 24JU40|HELLA INFRA MARKET LIMITED|PREFERENCE SHARES|Active INE08X507467|BHANIX FINANCE AND INVESTMENT LIMITED 15 NCD 28FB26 FVRS1LAC|BHANIX FINANCE AND INVESTMENT LIMITED|DEBENTURE|Active INE08XP07282|AKARA CAPITAL ADVISORS PRIVATE LIMITED 12 NCD 14AG28 FVRS1LAC|AKARA CAPITAL ADVISORS PRIVATE LIMITED|DEBENTURE|Active INE091A14EI9|NIRMA LIMITED 88D CP 09MAY25|NIRMA LIMITED|COMMERCIAL PAPER|Active INE093J08591|ANAND RATHI GLOBAL FINANCE LIMITED 9.50 NCD PERPETUAL|ANAND RATHI GLOBAL FINANCE LIMITED|DEBENTURE|Active INE093JB76C4|ANAND RATHI GLOBAL FINANCE LIMITED SR I ARG25SP172 BR NCD 18AP30 FVRS1LAC|ANAND RATHI GLOBAL FINANCE LIMITED|DEBENTURE|Active INE093JB76D2|ANAND RATHI GLOBAL FINANCE LIMITED SR III ARG25SP173 BR NCD 20AP30 FVRS1LAC|ANAND RATHI GLOBAL FINANCE LIMITED|DEBENTURE|Active INE093JB76E0|ANAND RATHI GLOBAL FINANCE LIMITED SR I ARG25SP173 BR NCD 20AP30 FVRS1LAC|ANAND RATHI GLOBAL FINANCE LIMITED|DEBENTURE|Active INE093JB76F7|ANAND RATHI GLOBAL FINANCE LIMITED SR II ARG25SP173 BR NCD 20AP30 FVRS1LAC|ANAND RATHI GLOBAL FINANCE LIMITED|DEBENTURE|Active INE093JB76G5|ANAND RATHI GLOBAL FINANCE LIMITED SR I ARG25SP174 BR NCD 21AP30 FVRS1LAC|ANAND RATHI GLOBAL FINANCE LIMITED|DEBENTURE|Active INE0AOZ07072|GEO VPL FINANCE PRIVATE LIMITED SR 62 TR 3 11 NCD 28NV26 FVRS25000|GEO VPL FINANCE PRIVATE LIMITED|DEBENTURE|Active INE0B4P07469|LOANTAP CREDIT PRODUCTS PRIVATE LIMITED SR A 14.5 NCD 31DC25 FVRS1LAC|LOANTAP CREDIT PRODUCTS PRIVATE LIMITED|DEBENTURE|Active INE0D8P03186|MARELLI MOTHERSON AUTOMOTIVE LIGHTING INDIA PRIVATE LIMITED PREF 05FB35|MARELLI MOTHERSON AUTOMOTIVE LIGHTING INDIA PRIVATE LIMITED|PREFERENCE SHARES|Active INE0E7303074|WAKEFIT INNOVATIONS PRIVATE LIMITED 0.0001% SERIES A PREF 24DC38|WAKEFIT INNOVATIONS PRIVATE LIMITED|PREFERENCE SHARES|Active INE0E7303082|WAKEFIT INNOVATIONS PRIVATE LIMITED 0.0001% SERIES B PREF 22DC40|WAKEFIT INNOVATIONS PRIVATE LIMITED|PREFERENCE SHARES|Active INE0GSZ03012|MOEVING URBAN TECHNOLOGIES PRIVATE LIMITED 0.001% PREF 02MR25|MOEVING URBAN TECHNOLOGIES PRIVATE LIMITED|PREFERENCE SHARES|Active INE0GSZ04010|MOEVING URBAN TECHNOLOGIES PRIVATE LIMITED 0.001% PREF 18JL41|MOEVING URBAN TECHNOLOGIES PRIVATE LIMITED|PREFERENCE SHARES|Active INE0IE403013|PEGASUS WASTE MANAGEMENT PRIVATE LIMITED 0.001% CLASS A PREF 01OT27|PEGASUS WASTE MANAGEMENT PRIVATE LIMITED|PREFERENCE SHARES|Active INE0J1S01019|PETREGAZ KRISHNAPATNAM PRIVATE LIMITED EQ|PETREGAZ KRISHNAPATNAM PRIVATE LIMITED|EQUITY SHARES|Active INE0KPY13012|SUNRISE EFFICIENT MARKETING LIMITED WARRANTS 14JL26|SUNRISE EFFICIENT MARKETING LIMITED|WARRANT|Active INE0LYZ03085|VECMOCON 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Abhay"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.15066231","addedAt":"2026-08-31T06:39:48.856Z","updatedAt":"2026-08-31T06:39:52.575Z"},{"id":"doi:10.5281/zenodo.15328593","name":"India ISIN Database, by Nemo","source":"datacite","abstract":"This file is truncated due to GitHub limitations. please see the attached release.md file for complete notes Additions The following new ISINs were added: ISIN|Description|Issuer|Type|Status ----|-----------|------|---------------|------ IN91XC501015|LIFESTYLE PROPERTY VENTURES PRIVATE LIMITED EQ PP RS. 2.5/-|LIFESTYLE PROPERTY VENTURES PRIVATE LIMITED|EQUITY SHARES|Active IN91XCA01014|MEGA SURFACES AND LIFESTYLE PRIVATE LIMITED EQ PP RS. 1/-|MEGA SURFACES AND LIFESTYLE PRIVATE LIMITED|EQUITY SHARES|Active INE00KY07015|GROW INDIGO PRIVATE LIMITED 10.75 NCD 27MR31 FVRS1LAC|GROW INDIGO PRIVATE LIMITED|DEBENTURE|Active INE01HV14730|VIVRITI CAPITAL LIMITED 94D CP 04AUG25|VIVRITI CAPITAL 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LIMITED|BOND|Active INE134E07DI5|POWER FINANCE CORPORATION LIMITED SR IX 54EC 5.25 BD 30JU30 FVRS10000|POWER FINANCE CORPORATION LIMITED|BOND|Active INE13HD07083|WORTGAGE TECHNOLOGIES PRIVATE LIMITED SR D2 13.75 NCD 31OT27 FVRS1LAC|WORTGAGE TECHNOLOGIES PRIVATE LIMITED|DEBENTURE|Active INE13SV07025|SHETH HOMES","url":"https://doi.org/10.5281/zenodo.15328593","authors":["Rana, Abhay"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.15328593","addedAt":"2026-08-31T06:39:48.856Z","updatedAt":"2026-08-31T06:39:52.575Z"},{"id":"doi:10.18154/rwth-2025-04139","name":"Urban Air Mobility: Potential and Challenges Based on Research at the Institute of Aerospace Systems","source":"datacite","abstract":"Kolloquium Urban Air Mobility: Lieferdrohnen &amp; Lufttaxis im Jahr 2025?, Aachen, Germany, 16 Jul 2024 - 16 Jul 2024; 40 Folien (2025).","url":"https://doi.org/10.18154/rwth-2025-04139","authors":["Kirste, Ansgar Markus"],"tags":["Urban Air Mobility","acceptance","eVTOL concepts","operations research","sustainability"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.18154/rwth-2025-04139","addedAt":"2026-08-31T06:39:48.856Z","updatedAt":"2026-08-31T06:39:52.575Z"},{"id":"doi:10.5281/zenodo.15478387","name":"Unified Model of Planetary Instability: Integration of Fluid Redistribution and Magnetic Field Depletion from Iron-Nickel Core Mass Loss and Numerous Research Papers and Hypothesis on Climate instability and recent chaos. A model to increasing predictive capabalities","source":"datacite","abstract":"PLEASE HELP INVALIDATE THIS MODEL - The consequences are not worth being correct. Update May 21, 2025: Added Model Refinement Paper including GIA in model. Additional considerations are included for refinement. Notes on Radar Glitches and Omega Patterns. Update May 20, 2025 Added Additional Formulas to be used under Formulas Section and a Recommended Tool for Monitoring at end of Unified Theory Paper. Introduced a sinusoidal mass injection function: I(t) = I_0 + \\Delta I \\cdot \\sin\\left(\\frac{2\\pi t}{T}\\right) where T = 1 year, and \\Delta I is peak inertia swing Update May 19, 2025: Today I have uploaded a Unified Model of Planetary Instability: Integration of Fluid Redistribution and Magnetic Field Depletion from Iron-Nickel Core Mass Loss. This is in addition to original papers which give understanding of how I came to the conclusions drawn. I have included an argument to refute a current hypothesis. Due to urgent nature of the model's predictions, I felt obligated not to wait before publishing. I have much more to go through and am trying to get all these finished. I am still editing and adding and have still much data to get through. All data links are on bottom of page. This expounds on the Fluid Dymanics and Mass Distribution Model to include a universal approach and explantion. I am still gathering information and wanted to get this out here. As more data is added and the model is alligned more clearly, the timeline changes. I also ran an extreme situation that would instantly push us into Phase III. These are the Model's Predictions, not my personal beliefs. I would like nothing better than someone to prove this wrong. All predictions from my model have aligned recently and this requires attention from all. Any assistance or input any have I would appreciate the help. DATA SOURCES AND LINKS for DATA SOURCES IN PAPER I am currently working on a universal model that any can run. The basic simulation is to show effects growing percentage of liquid has on an object. Once the object has a total of 25% total liquid mass the sphere begins to act less like a solid and starts becoming more like a contained liquid. The unity simulation is to demonstrate this. I am currently attempting to finish the model in unity fo public use for early warning and navigation. A collection of Climate research from multiple fields. This is a combination of multiple disciplines to identify missing factors in weather models that make recent climate seem chaotic. This presents evidence and scientific data collaborating the hypothesis. This attempts to explain and identify those unknown variables and an example of one such variable that has begun to effect this planet in last few decades. This adds to current knowledge base and gives data, explanations, and scientific proof for the currently untested claims. These are works is progress but the findings are enough to publish these Papers.","url":"https://doi.org/10.5281/zenodo.15478387","authors":["Pacha, James"],"tags":["Climate","Climate Models","Climate Change","Climate experiment","Climate type","Climate zone"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.15478387","addedAt":"2026-08-31T06:39:48.856Z","updatedAt":"2026-08-31T06:39:52.575Z"},{"id":"doi:10.25967/630274","name":"ULTRAS: Iterative Development of a Comprehensive Toolchain for Urban Air Mobility Simulation","source":"datacite","abstract":"A modular urban air mobility (UAM) simulation toolchain was iteratively developed in the project ULTRAS (Urban Air Transportation Simulation). Twelve modules combined passenger demand, vertiports, routing, trajectories, sectorized capacities, costs, scheduling, and infrastructure scaling, communication, and control (GNC). Three iterations evolved modules from minimum viable products (MVP) to mature frameworks, adding and adapting assumptions, functionality, and interfaces. In each iteration, modules were integrated to a workflow, enabling comprehensive simulation and evaluation.","url":"https://doi.org/10.25967/630274","authors":["Berling, J.","Hastedt, P.","Wanniarachchi, S.T.","Vieregg, A.","Gertz, C.","Turau, V.","Werner, H.","Gollnick, V."],"tags":["Urban Air Mobility","Simulation","RCE","Autonomous Agents","DLRK","2024","DGLR"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.25967/630274","addedAt":"2026-08-31T06:39:48.856Z","updatedAt":"2026-08-31T06:39:48.856Z"},{"id":"doi:10.48550/arxiv.2110.09934","name":"Elevating the future of mobility: UAV-enabled Intelligent Transportation Systems","source":"datacite","abstract":"Intelligent Transportation Systems (ITS) increasingly rely on connectivity for efficient traffic management and enhanced user experience. The existing ITS solutions operate mainly within a 2D domain, thus missing the potential benefits of aerial platforms. This paper envisions 3D ITS by integrating aerial platforms, such as Unmanned Aerial Vehicles (UAVs), to simultaneously improve network coverage and support multi-modal transportation, including Advanced Air Mobility (AAM). Using stochastic models, we investigate how UAV-based Aerial Base Stations (ABSs) can address the limitations of traditional Terrestrial Base Stations (TBSs) by offering superior coverage, particularly in urban environments. Our results demonstrate that ABSs have 106.67% more coverage area than TBS, higher Signal-to-Noise Ratio (SNR) distribution, and are suitable for high-throughput ITS applications.","url":"https://doi.org/10.48550/arxiv.2110.09934","authors":["Saboor, Abdul","Vinogradov, Evgenii","Cui, Zhuangzhuang","Coene, Sander","Joseph, Wout","Pollin, Sofie"],"tags":["Networking and Internet Architecture (cs.NI)","FOS: Computer and information sciences","FOS: Computer and information sciences"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2021","doi":"10.48550/arxiv.2110.09934","addedAt":"2026-08-31T06:39:48.856Z","updatedAt":"2026-08-31T06:39:48.856Z"},{"id":"doi:10.13016/m2gcmo-ycym","name":"Demand Modeling for Advanced Air Mobility","source":"datacite","abstract":"In recent years, the rapid pace of urbanization has posed profound challenges globally, exacerbating environmental concerns and escalating traffic congestion in metropolitan areas. To mitigate these issues, Advanced Air Mobility (AAM) has emerged as a promising transportation alternative. However, the effective implementation of AAM requires robust demand modeling. This study delves into the demand dynamics of AAM by analyzing employment based trip data across Tennessee's census tracts, employing statistical techniques and machine learning models to enhance accuracy in demand forecasting. Drawing on datasets from the Bureau of Transportation Statistics (BTS), the Internal Revenue Service (IRS), the Federal Aviation Administration (FAA), and additional sources, we perform cost, time, and risk assessments to compute the Generalized Cost of Trip (GCT). Our findings indicate that trips are more likely to be viable for AAM if air transportation accounts for over 70\\% of the GCT and the journey spans more than 250 miles. The study not only refines the understanding of AAM demand but also guides strategic planning and policy formulation for sustainable urban mobility solutions. The data and code can be accessed on GitHub.{https://github.com/lotussavy/IEEEBigData-2024.git }","url":"https://doi.org/10.13016/m2gcmo-ycym","authors":["Acharya, Kamal","Lad, Mehul","Sun, Liang","Song, Houbing"],"tags":["UMBC Security and Optimization for Networked Globe Laboratory (SONG Lab)","Statistics - Applications","Computer Science - Computers and Society"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.13016/m2gcmo-ycym","addedAt":"2026-08-31T06:39:48.856Z","updatedAt":"2026-08-31T06:39:48.856Z"},{"id":"doi:10.48550/arxiv.2412.06807","name":"Demand Modeling for Advanced Air Mobility","source":"datacite","abstract":"In recent years, the rapid pace of urbanization has posed profound challenges globally, exacerbating environmental concerns and escalating traffic congestion in metropolitan areas. To mitigate these issues, Advanced Air Mobility (AAM) has emerged as a promising transportation alternative. However, the effective implementation of AAM requires robust demand modeling. This study delves into the demand dynamics of AAM by analyzing employment based trip data across Tennessee's census tracts, employing statistical techniques and machine learning models to enhance accuracy in demand forecasting. Drawing on datasets from the Bureau of Transportation Statistics (BTS), the Internal Revenue Service (IRS), the Federal Aviation Administration (FAA), and additional sources, we perform cost, time, and risk assessments to compute the Generalized Cost of Trip (GCT). Our findings indicate that trips are more likely to be viable for AAM if air transportation accounts for over 70\\% of the GCT and the journey spans more than 250 miles. The study not only refines the understanding of AAM demand but also guides strategic planning and policy formulation for sustainable urban mobility solutions. The data and code can be accessed on GitHub.{https://github.com/lotussavy/IEEEBigData-2024.git }","url":"https://doi.org/10.48550/arxiv.2412.06807","authors":["Acharya, Kamal","Lad, Mehul","Sun, Liang","Song, Houbing"],"tags":["Applications (stat.AP)","Computers and Society (cs.CY)","FOS: Computer and information sciences","FOS: Computer and information sciences"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.48550/arxiv.2412.06807","addedAt":"2026-08-31T06:39:48.856Z","updatedAt":"2026-08-31T06:39:48.856Z"},{"id":"doi:10.18154/rwth-2024-06136","name":"Preliminary design method for sizing and optimization of on-demand air mobility aircraft with distributed electric ducted fans along the wing leading edge","source":"datacite","abstract":"The On-Demand Air Mobility (ODAM) concept, small aircraft comparable to CS-23 class aircraft, presents a promising solution to meet the growing demand for inter-city and intra-city air transportation and a pivotal step towards a more sustainable aviation industry, aligning with Europe's ambitious Flightpath 2050 initiative. The ODAM system represents a transformative concept in urban and regional transportation, aiming to provide efficient and sustainable air travel for distances ranging from 100 to 500 kilometres. This research aims to analyse the performance of a small aircraft with distributed electric ducted fans (DEDFs) along the wing leading edge at a conceptual level. The aircraft configuration under consideration is a 4-seater with a high-wing and a T-tail. The main focus of this study is to extend an existing multidisciplinary preliminary aircraft design tool for investigating and optimizing of the current small aircraft configuration utilizing innovative propulsion concept, DEDFs along the wing leading edge. To achieve this, this research focuses on the design methodology of an all-electric powertrain architecture, with a specific emphasis on integrating DEDFs into the aircraft's propulsion system. The powertrain architecture, inspired by NASA's SCEPTOR project. Aero-propulsive interactions due to induced velocity of the DEDFs placement along the wing's upper leading edge are analysed with the LIFTING_LINE program. The developed models resulting from the installation of distributed ducted fans at the wing's leading edge, have been integrated into the ILR conceptual aircraft design code MICADO (multidisciplinary integrated conceptual aircraft design and optimization). Subsequently, the design studies and optimization process have been conducted using MICADO based on preliminary requirements analysis. The primary objective is to identify an optimized aircraft configuration that minimizes the mission energy consumption, based on the top level aircraft requirements (TLAR). To achieve these objectives, the present study investigates the effects of employing blown wing span area ratio, facilitated by the presence of ducted fans, and varying the number of ducted fans for different combination of the design aspects, cruise speeds and wing aspect ratio and design range. The optimized aircraft configuration, utilizing blown wing span area with DEDFs along the wing leading edge, demonstrated significant improvements in mission energy expenditure with only slight increases in MTOM, compared to a conventional all-electric aircraft with single propeller integrated into the nose of the fuselage. The study underscores the significance of aspect ratios, elucidating their sensitivity in proximity to minimum values. While higher aspect ratios generally reduce drag, they also add weight, leading to a shift in minimum mission energy towards higher aspect ratios compared to MTOM optimization. Moreover, our findings emphasize the substantial impact of cruise speed on MTOM and mission energy, especially at speeds exceeding 350 km/h, where unfavourable increases in both parameters are observed.","url":"https://doi.org/10.18154/rwth-2024-06136","authors":["Awad, Mohamed Elshafey Abdallah"],"tags":["620","aero-propulsive interaction","conceptual aircraft design","distributed electric propulsion","ducted fan","general aviation aircraft"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.18154/rwth-2024-06136","addedAt":"2026-08-31T06:39:48.856Z","updatedAt":"2026-08-31T06:39:48.856Z"},{"id":"doi:10.25967/630054","name":"Untersuchung einer energieeffizienten Klimatisierung eines EVTOLs durch ein zonales Raumkabinenmodell und einen Kabinendemonstrator","source":"datacite","abstract":"EVTOL werden als Fortbewegungsmittel im urbanen Raum immer mehr Teil der Realität. Um deren Reichweite und den Komfort in der Kabine effizient zu kombinieren, wird in diesem Vorhaben an einer energieeffizienten Klimatisierung geforscht. Mittels eines zonalen Simulationsmodells werden verschiedene Belüftungskonzepte getestet und auf den thermischen Komfort und die Energieeffizienz bewertet. Des Weiteren wird unter Berücksichtigung der Simulationsergebnisse ein Kabinendemonstrator angefertigt, der für weitere messtechnische Untersuchungen verwendet wird.","url":"https://doi.org/10.25967/630054","authors":["Matheis, C.","Norrefeldt, V."],"tags":["Urban Air Mobility","Klimatisierung","DLRK","2024","DGLR"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.25967/630054","addedAt":"2026-08-31T06:39:48.856Z","updatedAt":"2026-08-31T06:39:48.856Z"},{"id":"doi:10.5281/zenodo.13173971","name":"Webinars - HSI Awardee Grantsmanship","source":"datacite","abstract":"The HSI National STEM Resource Hub is preserving its website and compiled resources for future use and reference. This entry consists of the following webinars. Webinar Summer Grantsmanship Resources. Webinar Link: https://youtu.be/YwW-lbUA4xw Dr. Ellen Carpenter, HSI Program Director at the NSF, discusses the NSF solicitation for the HSI Program. Dr. Carpenter discusses important elements to include in your submission. She also shares strategies for successfully submitting your proposal including various elements of FastLane and Grants.gov. The Q&A session has been omitted from the recording. You can find the link to the transcript below. The HSI STEM Hub recommends viewing this webinar to help you in preparation of your proposal. Insights from Recent HSI Awardees – May 19, 2020 Webinar Link: https://youtu.be/YhcZ0FvvuiE Recent NSF HSI Program Awardees, Antonio Garcia and Matthew Cover, discuss strategies for writing a successful proposal for submission to the NSF HSI Program. Drs. Garcia and Cover address topics such as fundable ideas, budget, collaborations, intellectual merit, broader impact, reviewers, and the types of funded projects they engage at their institutions. The NSF HSI STEM Hub recommends viewing this training video before writing your proposal and while reviewing important parts of your proposal during the writing phase, before submission. Matt Cover is an educator and freshwater ecologist at Cal State Stanislaus, a regional comprehensive university in California’s San Joaquin Valley. He is the PI of an HSI STEM grant (NSF #1832558, awarded August 2018) that funds a faculty learning program for STEM educators called CIENCIA: Collaboration for Inclusive and Engaging Curriculum, Instruction, and Achievement. He is passionate about making STEM education more humane, student-centered, creative, and fun; making graduate study more accessible, especially for minoritized students; and bringing a social justice lens to STEM research and education. He gets joy from exploring creeks and looking for bugs and birds, walking and hiking with his partner and dog, and enjoying coffee, beer, and music. Website: http://www.matthewrcover.com/ Antonio (“Tony”) García was recently appointed as Associate Dean of Academics for the College of Engineering at New Mexico State University, and brings more than 34 years of experience in academia and industry. He also holds the position of George W. Lucky Professor in Chemical Engineering due to his expertise in bioprocessing and biomedical devices. As a designer, inventor and researcher, he has developed several diagnostic and drug delivery technologies in conjunction with an international team whose mission is to promote the use of personalized care technology to improve global health. Dr. García is also actively involved in education and human resource projects aimed at improving math, science, and engineering education and to meet the demand for a robust technological workforce as the nation’s demographics changes. He was Associate Editor of the Journal of Research in Science Teaching 2003-2005 and was the project director of a National Science Foundation program (LSAMP) project, established in 1992, to enhance opportunities for undergraduate and graduate students in science, math and engineering. After moving to Las Cruces in August 2019, he led a team of NMSU faculty to recently secure a NSF HSI grant (which began in April 2020) on Innovative Partnerships with Industry with the theme of: Enhancing Social Mobility by Combing Adult Learning within an Engineering Curriculum. Framing Student Success – May 26, 2020 Webinar Link: https://youtu.be/_aPkJTWP2yc The Dr. Alexis Racelis, University of Texas Rio Grande Valley, lab studies ecological interactions in the social, political, and economic contexts in which they occur. In particular, our research is driven by a better understanding of how agriculture, urban development, invasive species and resource management affects certain ecologic","url":"https://doi.org/10.5281/zenodo.13173971","authors":["HSI National STEM Resource Hub","Serrano, Elba","Morales, Gabriela","Peterman, Jarod","Pallarez, Jessica"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.5281/zenodo.13173971","addedAt":"2026-08-31T06:39:48.856Z","updatedAt":"2026-08-31T06:39:57.286Z"},{"id":"doi:10.5281/zenodo.13173970","name":"Webinars - HSI Awardee Grantsmanship","source":"datacite","abstract":"The HSI National STEM Resource Hub is preserving its website and compiled resources for future use and reference. This entry consists of the following webinars. Webinar Summer Grantsmanship Resources. Webinar Link: https://youtu.be/YwW-lbUA4xw Dr. Ellen Carpenter, HSI Program Director at the NSF, discusses the NSF solicitation for the HSI Program. Dr. Carpenter discusses important elements to include in your submission. She also shares strategies for successfully submitting your proposal including various elements of FastLane and Grants.gov. The Q&A session has been omitted from the recording. You can find the link to the transcript below. The HSI STEM Hub recommends viewing this webinar to help you in preparation of your proposal. Insights from Recent HSI Awardees – May 19, 2020 Webinar Link: https://youtu.be/YhcZ0FvvuiE Recent NSF HSI Program Awardees, Antonio Garcia and Matthew Cover, discuss strategies for writing a successful proposal for submission to the NSF HSI Program. Drs. Garcia and Cover address topics such as fundable ideas, budget, collaborations, intellectual merit, broader impact, reviewers, and the types of funded projects they engage at their institutions. The NSF HSI STEM Hub recommends viewing this training video before writing your proposal and while reviewing important parts of your proposal during the writing phase, before submission. Matt Cover is an educator and freshwater ecologist at Cal State Stanislaus, a regional comprehensive university in California’s San Joaquin Valley. He is the PI of an HSI STEM grant (NSF #1832558, awarded August 2018) that funds a faculty learning program for STEM educators called CIENCIA: Collaboration for Inclusive and Engaging Curriculum, Instruction, and Achievement. He is passionate about making STEM education more humane, student-centered, creative, and fun; making graduate study more accessible, especially for minoritized students; and bringing a social justice lens to STEM research and education. He gets joy from exploring creeks and looking for bugs and birds, walking and hiking with his partner and dog, and enjoying coffee, beer, and music. Website: http://www.matthewrcover.com/ Antonio (“Tony”) García was recently appointed as Associate Dean of Academics for the College of Engineering at New Mexico State University, and brings more than 34 years of experience in academia and industry. He also holds the position of George W. Lucky Professor in Chemical Engineering due to his expertise in bioprocessing and biomedical devices. As a designer, inventor and researcher, he has developed several diagnostic and drug delivery technologies in conjunction with an international team whose mission is to promote the use of personalized care technology to improve global health. Dr. García is also actively involved in education and human resource projects aimed at improving math, science, and engineering education and to meet the demand for a robust technological workforce as the nation’s demographics changes. He was Associate Editor of the Journal of Research in Science Teaching 2003-2005 and was the project director of a National Science Foundation program (LSAMP) project, established in 1992, to enhance opportunities for undergraduate and graduate students in science, math and engineering. After moving to Las Cruces in August 2019, he led a team of NMSU faculty to recently secure a NSF HSI grant (which began in April 2020) on Innovative Partnerships with Industry with the theme of: Enhancing Social Mobility by Combing Adult Learning within an Engineering Curriculum. Framing Student Success – May 26, 2020 Webinar Link: https://youtu.be/_aPkJTWP2yc The Dr. Alexis Racelis, University of Texas Rio Grande Valley, lab studies ecological interactions in the social, political, and economic contexts in which they occur. In particular, our research is driven by a better understanding of how agriculture, urban development, invasive species and resource management affects certain ecologic","url":"https://doi.org/10.5281/zenodo.13173970","authors":["HSI National STEM Resource Hub","Serrano, Elba","Morales, Gabriela","Peterman, Jarod","Pallarez, Jessica"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.5281/zenodo.13173970","addedAt":"2026-08-31T06:39:48.856Z","updatedAt":"2026-08-31T06:39:57.286Z"},{"id":"doi:10.48550/arxiv.2407.06320","name":"An Open-source Hardware/Software Architecture and Supporting Simulation Environment to Perform Human FPV Flight Demonstrations for Unmanned Aerial Vehicle Autonomy","source":"datacite","abstract":"Small multi-rotor unmanned aerial vehicles (UAVs), mainly quadcopters, are nowadays ubiquitous in research on aerial autonomy, including serving as scaled-down models for much larger aircraft such as vertical-take-off-and-lift vehicles for urban air mobility. Among the various research use cases, first-person-view RC flight experiments allow for collecting data on how human pilots fly such aircraft, which could then be used to compare, contrast, validate, or train autonomous flight agents. While this could be uniquely beneficial, especially for studying UAV operation in contextually complex and safety-critical environments such as in human-UAV shared spaces, the lack of inexpensive and open-source hardware/software platforms that offer this capability along with low-level access to the underlying control software and data remains limited. To address this gap and significantly reduce barriers to human-guided autonomy research with UAVs, this paper presents an open-source software architecture implemented with an inexpensive in-house built quadcopter platform based on the F450 Quadcopter Frame. This setup uses two cameras to provide a dual-view FPV and an open-source flight controller, Pixhawk. The underlying software architecture, developed using the Python-based Kivy library, allows logging telemetry, GPS, control inputs, and camera frame data in a synchronized manner on the ground station computer. Since costs (time) and weather constraints typically limit numbers of physical outdoor flight experiments, this paper also presents a unique AirSim/Unreal Engine based simulation environment and graphical user interface aka digital twin, that provides a Hardware In The Loop setup via the Pixhawk flight controller. We demonstrate the usability and reliability of the overall framework through a set of diverse physical FPV flight experiments and corresponding flight tests in the digital twin.","url":"https://doi.org/10.48550/arxiv.2407.06320","authors":["Xiao, Haosong","Krisshnakumar, Prajit","Pothuri, Jagadeswara P K V","Soni, Puru","Butcher, Eric","Chowdhury, Souma"],"tags":["Robotics (cs.RO)","FOS: Computer and information sciences","FOS: Computer and information sciences"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.48550/arxiv.2407.06320","addedAt":"2026-08-31T06:39:48.856Z","updatedAt":"2026-08-31T06:39:48.856Z"},{"id":"doi:10.48550/arxiv.2407.12113","name":"A Graph-based Adversarial Imitation Learning Framework for Reliable &amp; Realtime Fleet Scheduling in Urban Air Mobility","source":"datacite","abstract":"The advent of Urban Air Mobility (UAM) presents the scope for a transformative shift in the domain of urban transportation. However, its widespread adoption and economic viability depends in part on the ability to optimally schedule the fleet of aircraft across vertiports in a UAM network, under uncertainties attributed to airspace congestion, changing weather conditions, and varying demands. This paper presents a comprehensive optimization formulation of the fleet scheduling problem, while also identifying the need for alternate solution approaches, since directly solving the resulting integer nonlinear programming problem is computationally prohibitive for daily fleet scheduling. Previous work has shown the effectiveness of using (graph) reinforcement learning (RL) approaches to train real-time executable policy models for fleet scheduling. However, such policies can often be brittle on out-of-distribution scenarios or edge cases. Moreover, training performance also deteriorates as the complexity (e.g., number of constraints) of the problem increases. To address these issues, this paper presents an imitation learning approach where the RL-based policy exploits expert demonstrations yielded by solving the exact optimization using a Genetic Algorithm. The policy model comprises Graph Neural Network (GNN) based encoders that embed the space of vertiports and aircraft, Transformer networks to encode demand, passenger fare, and transport cost profiles, and a Multi-head attention (MHA) based decoder. Expert demonstrations are used through the Generative Adversarial Imitation Learning (GAIL) algorithm. Interfaced with a UAM simulation environment involving 8 vertiports and 40 aircrafts, in terms of the daily profits earned reward, the new imitative approach achieves better mean performance and remarkable improvement in the case of unseen worst-case scenarios, compared to pure RL results.","url":"https://doi.org/10.48550/arxiv.2407.12113","authors":["Poddar, Prithvi","Paul, Steve","Chowdhury, Souma"],"tags":["Machine Learning (cs.LG)","Artificial Intelligence (cs.AI)","Multiagent Systems (cs.MA)","FOS: Computer and information sciences","FOS: Computer and information sciences"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.48550/arxiv.2407.12113","addedAt":"2026-08-31T06:39:48.856Z","updatedAt":"2026-08-31T06:39:48.856Z"},{"id":"doi:10.5281/zenodo.12802563","name":"Detecting Patterns of Attacks to Network Security in Urban Air Mobility with Answer Set Programming","source":"datacite","abstract":"This document presents the supplementary material for the paper entitled “Detecting Patterns of Attacks to Network Security in Urban Air Mobility with Answer Set Programming” accepted for the 27th European Conference on Artficial Intelligence (ECAI 2024). It contains the Answer Set Programming (ASP) encoding and further experiments.","url":"https://doi.org/10.5281/zenodo.12802563","authors":["Sterlicchio, Gioacchino","Lisi, Francesca Alessandra"],"tags":["Network security","Answer Set Programming","Urban Air Mobility"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.5281/zenodo.12802563","addedAt":"2026-08-31T06:39:48.856Z","updatedAt":"2026-08-31T06:39:48.856Z"},{"id":"doi:10.5281/zenodo.13135192","name":"Detecting Patterns of Attacks to Network Security in Urban Air Mobility with Answer Set Programming","source":"datacite","abstract":"This document presents the supplementary material for the paper entitled “Detecting Patterns of Attacks to Network Security in Urban Air Mobility with Answer Set Programming” accepted for presentation at the 27th European Conference on Artficial Intelligence (ECAI 2024). It contains the Answer Set Programming (ASP) encoding for the problem considered in the paper and details of further experiments that could not be included due to lack of space.","url":"https://doi.org/10.5281/zenodo.13135192","authors":["Sterlicchio, Gioacchino","Lisi, Francesca Alessandra"],"tags":["Network security","Answer Set Programming","Urban Air Mobility"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.5281/zenodo.13135192","addedAt":"2026-08-31T06:39:48.856Z","updatedAt":"2026-08-31T06:39:48.856Z"},{"id":"doi:10.5281/zenodo.12802562","name":"Detecting Patterns of Attacks to Network Security in Urban Air Mobility with Answer Set Programming","source":"datacite","abstract":"This document presents the supplementary material for the paper entitled “Detecting Patterns of Attacks to Network Security in Urban Air Mobility with Answer Set Programming” accepted for presentation at the 27th European Conference on Artficial Intelligence (ECAI 2024). It contains the Answer Set Programming (ASP) encoding for the problem considered in the paper and details of further experiments that could not be included due to lack of space.","url":"https://doi.org/10.5281/zenodo.12802562","authors":["Sterlicchio, Gioacchino","Lisi, Francesca Alessandra"],"tags":["Network security","Answer Set Programming","Urban Air Mobility"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.5281/zenodo.12802562","addedAt":"2026-08-31T06:39:48.856Z","updatedAt":"2026-08-31T06:39:48.856Z"},{"id":"doi:10.48550/arxiv.2406.13817","name":"SkyGrid: Energy-Flow Optimization at Harmonized Aerial Intersections","source":"datacite","abstract":"The rapid evolution of urban air mobility (UAM) is reshaping the future of transportation by integrating aerial vehicles into urban transit systems. The design of aerial intersections plays a critical role in the phased development of UAM systems to ensure safe and efficient operations in air corridors. This work adapts the concept of rhythmic control of connected and automated vehicles (CAVs) at unsignalized intersections to address complex traffic control problems. This control framework assigns UAM vehicles to different movement groups and significantly reduces the computation of routing strategies to avoid conflicts. In contrast to ground traffic, the objective is to balance three measures: minimizing energy utilization, maximizing intersection flow (throughput), and maintaining safety distances. This optimization method dynamically directs traffic with various demands, considering path assignment distributions and segment-level trajectory coefficients for straight and curved paths as control variables. To the best of our knowledge, this is the first work to consider a multi-objective optimization approach for unsignalized intersection control in the air and to propose such optimization in a rhythmic control setting with time arrival and UAM operational constraints. A sensitivity analysis with respect to inter-platoon safety and straight/left demand balance demonstrates the effectiveness of our method in handling traffic under various scenarios.","url":"https://doi.org/10.48550/arxiv.2406.13817","authors":["Khoshdel, Sahand","Afghah, Fatemeh","Luo, Qi"],"tags":["Systems and Control (eess.SY)","FOS: Electrical engineering, electronic engineering, information engineering"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.48550/arxiv.2406.13817","addedAt":"2026-08-31T06:39:48.856Z","updatedAt":"2026-08-31T06:39:57.286Z"},{"id":"doi:10.48550/arxiv.2405.03290","name":"Coordinating Cooperative Perception in Urban Air Mobility for Enhanced Environmental Awareness","source":"datacite","abstract":"The trend for Urban Air Mobility (UAM) is growing with prospective air taxis, parcel deliverers, and medical and industrial services. Safe and efficient UAM operation relies on timely communication and reliable data exchange. In this paper, we explore Cooperative Perception (CP) for Unmanned Aircraft Systems (UAS), considering the unique communication needs involving high dynamics and a large number of UAS. We propose a hybrid approach combining local broadcast with a central CP service, inspired by centrally managed U-space and broadcast mechanisms from automotive and aviation domains. In a simulation study, we show that our approach significantly enhances the environmental awareness for UAS compared to fully distributed approaches, with an increased communication channel load, which we also evaluate. These findings prompt a discussion on communication strategies for CP in UAM and the potential of a centralized CP service in future research.","url":"https://doi.org/10.48550/arxiv.2405.03290","authors":["Häckel, Timo","von Roenn, Luca","Juchmann, Nemo","Fay, Alexander","Akkermans, Rinie","Tiedemann, Tim","Schmidt, Thomas C."],"tags":["Networking and Internet Architecture (cs.NI)","FOS: Computer and information sciences","FOS: Computer and information sciences"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.48550/arxiv.2405.03290","addedAt":"2026-08-31T06:39:48.856Z","updatedAt":"2026-08-31T06:39:48.856Z"},{"id":"doi:10.6092/issn.3034-8544/18767","name":"Urban Sustainability Agendas for Universities","source":"datacite","abstract":"Energy transition, climate adaptation (including green infrastructure), sustainable land use and nature-based solutions, urban mobility, culture and heritage and safety in public spaces, air quality, urban poverty, housing, circular economy, digital transition, inclusion of migrants and refugees, jobs and skills in the local economy, innovative and responsible public procurement are priority themes of the European Urban Agenda. The Urban Agenda can be seen as a virtuous example of multi-level governance, allowing cities to tackle today's challenges directly on the ground and to propose joint actions for better regulation, financing and knowledge exchange. Success in achieving the Urban Agenda is highly dependent on the action and collaboration of all actors in the territorial, institutional and socio-economic system.","url":"https://doi.org/10.6092/issn.3034-8544/18767","authors":["Lombardi, Patrizia"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.6092/issn.3034-8544/18767","addedAt":"2026-08-31T06:39:48.856Z","updatedAt":"2026-08-31T06:39:48.856Z"},{"id":"doi:10.48550/arxiv.2402.07375","name":"A Unified MPC Strategy for a Tilt-rotor VTOL UAV Towards Seamless Mode Transitioning","source":"datacite","abstract":"Capabilities of long-range flight and vertical take-off and landing (VTOL) are essential for Urban Air Mobility (UAM). Tiltrotor VTOLs have the advantage of balancing control simplicity and system complexity due to their redundant control authority. Prior work on controlling these aircraft either requires separate controllers and switching modes for different vehicle configurations or performs the control allocation on separate actuator sets, which cannot fully use the potential of the redundancy of tiltrotor. This paper introduces a unified MPC-based control strategy for a customized tiltrotor VTOL Unmanned Aerial Vehicle (UAV), which does not require mode-switching and can perform the control allocation in a consistent way. The incorporation of four independently controllable rotors in VTOL design offers an extra level of redundancy, allowing the VTOL to accommodate actuator failures. The result shows that our approach outperforms PID controllers while maintaining unified control. It allows the VTOL to perform smooth acceleration/deceleration, and precise coordinated turns. In addition, the independently controlled tilts enable the vehicle to handle actuator failures, ensuring that the aircraft remains operational even in the event of a servo or motor malfunction.","url":"https://doi.org/10.48550/arxiv.2402.07375","authors":["Chen, Qizhao","Hu, Ziqi","Geng, Junyi","Bai, Dongwei","Mousaei, Mohammad","Scherer, Sebastian"],"tags":["Systems and Control (eess.SY)","Robotics (cs.RO)","FOS: Electrical engineering, electronic engineering, information engineering","FOS: Computer and information sciences"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.48550/arxiv.2402.07375","addedAt":"2026-08-31T06:39:48.856Z","updatedAt":"2026-08-31T06:39:57.918Z"},{"id":"doi:10.48550/arxiv.2312.02505","name":"Evaluating eVTOL Network Performance and Fleet Dynamics through Simulation-Based Analysis","source":"datacite","abstract":"Urban Air Mobility (UAM) represents a promising solution for future transportation. In this study, we introduce VertiSim, an advanced event-driven simulator developed to evaluate e-VTOL transportation networks. Uniquely, VertiSim simultaneously models passenger, aircraft, and energy flows, reflecting the interrelated complexities of UAM systems. We utilized VertiSim to assess 19 operational scenarios serving a daily demand for 2,834 passengers with varying fleet sizes and vertiport distances. The study aims to support stakeholders in making informed decisions about fleet size, network design, and infrastructure development by understanding tradeoffs in passenger delay time, operational costs, and fleet utilization. Our simulations, guided by a heuristic dispatch and charge policy, indicate that fleet size significantly influences passenger delay and energy consumption within UAM networks. We find that increasing the fleet size can reduce average passenger delays, but this comes at the cost of higher operational expenses due to an increase in the number of repositioning flights. Additionally, our analysis highlights how vertiport distances impact fleet utilization: longer distances result in reduced total idle time and increased cruise and charge times, leading to more efficient fleet utilization but also longer passenger delays. These findings are important for UAM network planning, especially in balancing fleet size with vertiport capacity and operational costs. Simulator demo is available at: https://tinyurl.com/vertisim-vis","url":"https://doi.org/10.48550/arxiv.2312.02505","authors":["Onat, Emin Burak","Bulusu, Vishwanath","Chakrabarty, Anjan","Hansen, Mark","Sengupta, Raja","Sridar, Banavar"],"tags":["Multiagent Systems (cs.MA)","Systems and Control (eess.SY)","FOS: Computer and information sciences","FOS: Computer and information sciences","FOS: Electrical engineering, electronic engineering, information engineering","FOS: Electrical engineering, electronic engineering, information engineering"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2023","doi":"10.48550/arxiv.2312.02505","addedAt":"2026-08-31T06:39:48.856Z","updatedAt":"2026-08-31T06:39:48.856Z"},{"id":"doi:10.48550/arxiv.2401.04851","name":"Graph Learning-based Fleet Scheduling for Urban Air Mobility under Operational Constraints, Varying Demand &amp; Uncertainties","source":"datacite","abstract":"This paper develops a graph reinforcement learning approach to online planning of the schedule and destinations of electric aircraft that comprise an urban air mobility (UAM) fleet operating across multiple vertiports. This fleet scheduling problem is formulated to consider time-varying demand, constraints related to vertiport capacity, aircraft capacity and airspace safety guidelines, uncertainties related to take-off delay, weather-induced route closures, and unanticipated aircraft downtime. Collectively, such a formulation presents greater complexity, and potentially increased realism, than in existing UAM fleet planning implementations. To address these complexities, a new policy architecture is constructed, primary components of which include: graph capsule conv-nets for encoding vertiport and aircraft-fleet states both abstracted as graphs; transformer layers encoding time series information on demand and passenger fare; and a Multi-head Attention-based decoder that uses the encoded information to compute the probability of selecting each available destination for an aircraft. Trained with Proximal Policy Optimization, this policy architecture shows significantly better performance in terms of daily averaged profits on unseen test scenarios involving 8 vertiports and 40 aircraft, when compared to a random baseline and genetic algorithm-derived optimal solutions, while being nearly 1000 times faster in execution than the latter.","url":"https://doi.org/10.48550/arxiv.2401.04851","authors":["Paul, Steve","Witter, Jhoel","Chowdhury, Souma"],"tags":["Multiagent Systems (cs.MA)","Artificial Intelligence (cs.AI)","Machine Learning (cs.LG)","FOS: Computer and information sciences","FOS: Computer and information sciences"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.48550/arxiv.2401.04851","addedAt":"2026-08-31T06:39:48.856Z","updatedAt":"2026-08-31T06:39:48.856Z"},{"id":"doi:10.48550/arxiv.2310.01417","name":"The Feasibility of Electric Air Taxis: Balancing Time Savings and CO$_2$ Emissions -- A joint case study of respective plans in Paris","source":"datacite","abstract":"This paper evaluates the sustainability of Advanced Air Mobility (AAM) in urban and regional mobility, using Paris as a case study. Paris is committed to eco-friendly transportation and has introduced AAM, including electric Vertical Take-Off and Landing (eVTOL) air taxis for the 2024 Olympic Games. We assess eVTOL energy consumption and CO$_2$ emissions on urban and regional routes, comparing them with cars, public transport, and helicopters. Urban eVTOLs save around 23 minutes over cars and 22 minutes over public transport on 50 km routes. For regional routes (300 km), eVTOLs save 76 minutes over cars and 69 minutes over trains. However, eVTOLs' eco-friendliness depends on context. In urban areas, they consume more energy than electric cars, but beat traditional helicopters by 47%. For regional travel, eVTOLs outperform helicopters and some cars but lag behind electric vehicles and trains. To maximize AAM's sustainability in Paris, stakeholders must consider real-world operations and integrate eVTOLs into the broader transportation system. This approach can lead to greener urban and regional transportation.","url":"https://doi.org/10.48550/arxiv.2310.01417","authors":["Hagag, Nabil","Hoeveler, Bastian"],"tags":["Physics and Society (physics.soc-ph)","FOS: Physical sciences","FOS: Physical sciences"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2023","doi":"10.48550/arxiv.2310.01417","addedAt":"2026-08-31T06:39:48.856Z","updatedAt":"2026-08-31T06:39:48.856Z"},{"id":"doi:10.5281/zenodo.46021","name":"Annual Reports Of Education, Health And Sport 9781329899971","source":"datacite","abstract":"Radomska Szkoła Wyższa w Radomiu Radom University in Radom Annual Reports of Education, Health and Sport 9781329899971 Edited by Iwona Czerwińska Pawluk Radosław Muszkieta Hanna Żukowska Wiesława Pilewska Mariusz Klimczyk Walery Zukow http://ojs.ukw.edu.pl/index.php/johs/index http://journal.rsw.edu.pl https://pbn.nauka.gov.pl/search?search&amp;searchCategory=WORK&amp;filter.inJournal=49068 https://pbn.nauka.gov.pl/search?search&amp;searchCategory=WORK&amp;filter.inJournal=36616 http://elibrary.ru/contents.asp?titleid=37467 Open Access Radom 2013 Radomska Szkoła Wyższa w Radomiu Radom University in Radom Annual Reports of Education, Health and Sport 9781329899971 Edited by Iwona Czerwińska Pawluk Radosław Muszkieta Hanna Żukowska Wiesława Pilewska Mariusz Klimczyk Walery Zukow http://ojs.ukw.edu.pl/index.php/johs/index http://journal.rsw.edu.pl https://pbn.nauka.gov.pl/search?search&amp;searchCategory=WORK&amp;filter.inJournal=49068 https://pbn.nauka.gov.pl/search?search&amp;searchCategory=WORK&amp;filter.inJournal=36616 http://elibrary.ru/contents.asp?titleid=37467 Open Access Radom 2013 Scientific Council prof. zw. dr hab. geo. Z. Babiński (Poland), prof. zw. dr hab. med. T. Chumachenko (Ukraine), prof. zw. dr hab. techn. R. Cichon (Poland), prof. zw. dr hab med. N. Dragomiretskaya (Ukraine), prof. zw. dr hab. med. V. Ezhov (Ukraine), prof. zw. dr hab. geo. J. Falkowski (Poland), prof. zw. dr hab. med. A. Gozhenko (Ukraine), prof. zw. dr hab. geo. M. Grodzynskyi (Ukraine), prof. zw. dr hab. I. Grygus (Ukraine), prof. zw. dr hab med. A. Gudyma (Ukraine), prof. zw. dr hab. med. S. Gulyar (Ukraine), prof. zw. dr hab. med. W. Hagner (Poland), prof. zw. dr hab. med. I. Karwat (Poland), prof. zw. dr hab. med. M. Kyryliuk (Ukraine), prof. zw. dr hab. med. Y. Limansky (Ukraine), prof. zw. dr hab. geo. A. Melnik (Ukraine), prof. zw. dr hab. med. V. Mizin (Ukraine), prof. zw. dr hab. med. B. Nasibullin (Ukraine), prof. zw. dr hab. geo. O. Obodovskyi (Ukraine), prof. zw. dr hab. med. I. Samosiuk (Ukraine), prof. zw. dr hab. med. L. Shafran (Ukraine), prof. zw. dr hab. med. I. Shmakova (Ukraine), prof. zw. dr hab. med.A. Svirskiy (Ukraine), prof. zw. dr hab. O. Sokolov (Ukraine), prof. zw. dr hab. med. V. Stebliuk (Ukraine), prof. zw. dr hab. S. Yermakov, (Ukraine), prof. dr hab. med. A. Avramenko, doc. PaedDr. Elena Bendíková, PhD. (Slovakia), prof. dr hab. K. Buśko (Poland), dr hab. med. E. Gozhenko (Ukraine), prof. dr hab. H. Knapik (Poland), dr hab. R. Muszkieta (Poland), prof. dr hab. med. W. Myśliński (Poland), prof. dr hab. M. Napierała (Poland), prof. dr hab. M. Pastuszko (Poland), prof. dr hab. K. Prusik (Poland), prof. dr hab. M. Zasada (Poland), dr med. L. Butskaia (Ukraine), dr I. M. Batyk (Poland), dr M. Cieślicka (Poland), dr med. M. Charzynska-Gula (Poland), doc. dr n. med. V. Cherno (Ukraine), dr med. K. Cywinski (Poland), dr med. I. Czerwinska Pawluk (Poland), dr biol. S. Dolomatov (Ukraine), dr med. M. Dzierzanowski (Poland), dr med. M. Hagner-Derengowska (Poland), dr med. B. Jędrzejewska (Poland), dr med. U. Kazmierczak (Poland), dr med. K. Kiczuk (Poland), dr Z. Kwaśnik (Poland), dr med. T. Madej (Poland), dr med. E. Mikolajewska (Poland), dr D. Mikolajewski (Poland), dr med. B. Muszynska (Poland), dr med. A. Nalazek (Poland), dr med. N. Novikov (Ukraine), dr med. K. Nowacka (Poland), dr med. G. Polak (Poland), dr med. P. Prokopczyk (Poland), dr med. A. Radziminska (Poland), dr med. L. Sierpinska (Poland), dr Daves Sinch (Republic of India), doc. dr A. Skaliy (Ukraine), dr T. Skaliy (Ukraine), dr B. Stankiewicz (Poland), dr med. E. Trela (Poland) E ditorial Board Stefan Adamcak (Slovakia), Pavol Bartik (Slovakia), Elena Bend^kova (Czech Republic), Janusz Bielski (Poland), Krzysztof Buśko (Poland), Mirosława Cieślicka (Poland), Jerzy Eksterowicz (Poland), Włodzimierz Erdmann (Poland), Tomasz Frołowicz (Poland), Attila Gilanyi (Hungary), Igor Grygus (Ukraine), Halina Guła-Kubiszewska (Poland), Paweł Izdebski (Poland), ","url":"https://doi.org/10.5281/zenodo.46021","authors":["Meshcheryakova, A. V. et al."],"tags":["Annual Reports","Education","Health","Sport","9781329899971"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2013","doi":"10.5281/zenodo.46021","addedAt":"2026-08-31T06:39:48.856Z","updatedAt":"2026-08-31T06:39:57.286Z"},{"id":"doi:10.1101/2025.06.04.25328218","name":"International Migrant Workers, Heat Exposure, and Climate Change: A Systematic Review of Health Risks and Protective Interventions","source":"preprints","abstract":"","url":"https://doi.org/10.1101/2025.06.04.25328218","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.1101/2025.06.04.25328218","addedAt":"2026-08-31T06:39:48.856Z","updatedAt":"2026-08-31T06:39:57.842Z"},{"id":"doi:10.21203/rs.3.rs-5368831/v1","name":"Variations in dietary patterns in the ancient Greek colony of Abdera: insights from isotopic evidence and bayesian modeling","source":"preprints","abstract":"Abstract Abdera is an ancient Greek colony in northern Aegean. It exhibits a unique foundation history as it was first established in 654 BC by the Ionian city of Klazomenae and in 545 BC by the city of Teos. The first colonial endeavor failed due to harsh living conditions and conflicts with local populations. Exposed to unfamiliar challenges, the settlers faced physical strain and maladies, particularly affecting the subadults, who were deprived of proper care and nutrition during critical periods of life. After about a century the city of Teos colonised Abdera under the pressure of the Persian attacks. The new colonial endeavor was successful, and the city managed to capitalize on its natural resources, flourishing through the centuries. This study reconstructs the diet of 109 adults and subadults from Abdera dating from the Archaic through the Roman times (654 BC–400AD) using stable isotope ratios of carbon (δ 13 C), nitrogen (δ 15 N) and sulphur (δ 34 S) from bone collagen. Bayesian modeling was implemented to quantify the relative consumption of different food sources in Abdera and compare it with other contemporary sites. Weaning duration was estimated to investigate the nutritional and health status of infants that is believed to have affected the fitness of the population in the long run. Our results indicate that the first settlers of Abdera primarily relied mostly on local resources such as terrestrial C3 plant and fish resources, complemented to a lesser extent by animal protein and millet (C4 plant). This pattern persisted over time. However, Bayesian modeling indicated different levels of food access on an individual level and variations in consumption patterns between other contemporary populations of ancient cities. Weaning during the first colonization phase began around nine months whereas during the Roman period weaning started earlier, around four months. In both cases weaning was completed around the age of six years old. The sulfur analysis revealed that females were not local but migrated to Abdera especially during the first colonial phase. Our study highlights the significance of diet as a key lens for studying the trajectory of a settlement, and a key factor for understanding the growth, the resilience, and the cultural evolution of the ancient Greek colonies.","url":"https://doi.org/10.21203/rs.3.rs-5368831/v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.21203/rs.3.rs-5368831/v1","addedAt":"2026-08-31T06:39:48.856Z","updatedAt":"2026-08-31T06:39:57.842Z"},{"id":"doi:10.21203/rs.3.rs-5446848/v1","name":"An evaluation of Scottish Green Health Prescriptions using the APEASE criteria","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-5446848/v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.21203/rs.3.rs-5446848/v1","addedAt":"2026-08-31T06:39:48.856Z","updatedAt":"2026-08-31T06:39:50.412Z"},{"id":"doi:10.1101/2024.09.18.24313892","name":"Cohort profile: design, sociodemographic characteristics, chronic disease risk factors, and baseline hypertension and diabetes care cascades of the open, prospective Community-Based chronic disease Care Lesotho (ComBaCaL) cohort","source":"preprints","abstract":"","url":"https://doi.org/10.1101/2024.09.18.24313892","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.1101/2024.09.18.24313892","addedAt":"2026-08-31T06:39:48.856Z","updatedAt":"2026-08-31T06:39:57.843Z"},{"id":"doi:10.1101/2022.04.26.22274332","name":"Community factors and excess mortality in the COVID-19 pandemic in England, Italy and Sweden","source":"preprints","abstract":"","url":"https://doi.org/10.1101/2022.04.26.22274332","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2022","doi":"10.1101/2022.04.26.22274332","addedAt":"2026-08-31T06:39:48.856Z","updatedAt":"2026-08-31T06:39:50.412Z"},{"id":"doi:10.1101/2024.12.28.630600","name":"A high-throughput 3D culture microfluidic platform for multi-parameter phenotypic and omics profiling of patient-derived organoids","source":"preprints","abstract":"","url":"https://doi.org/10.1101/2024.12.28.630600","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.1101/2024.12.28.630600","addedAt":"2026-08-31T06:39:48.856Z","updatedAt":"2026-08-31T06:39:54.187Z"},{"id":"doi:10.2139/ssrn.3733709","name":"Which Future for Cities after COVID-19 | An International Survey","source":"preprints","abstract":"","url":"https://doi.org/10.2139/ssrn.3733709","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2020","doi":"10.2139/ssrn.3733709","addedAt":"2026-08-31T06:39:48.856Z","updatedAt":"2026-08-31T06:39:50.412Z"},{"id":"doi:10.1101/2025.01.06.25320049","name":"Trends in self-management research in spinal cord injury: A scoping review of study designs and findings","source":"preprints","abstract":"","url":"https://doi.org/10.1101/2025.01.06.25320049","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.1101/2025.01.06.25320049","addedAt":"2026-08-31T06:39:48.856Z","updatedAt":"2026-08-31T06:39:57.843Z"},{"id":"doi:10.2139/ssrn.4309711","name":"The Remote Work Revolution: Impact on Real Estate Values and the Urban Environment","source":"preprints","abstract":"The covid-19 pandemic induced a major shift in the prevalence of remote and hybrid work arrangements. This review article studies the effects of this remote work revolution for residential and commercial real estate values and for the future of cities. It also discusses consequences for productivity, innovation, local public finance, and the climate. The last part of the article discusses policy interventions.","url":"https://doi.org/10.2139/ssrn.4309711","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2022","doi":"10.2139/ssrn.4309711","addedAt":"2026-08-31T06:39:48.856Z","updatedAt":"2026-08-31T06:39:57.843Z"},{"id":"doi:10.2139/ssrn.4447806","name":"How Did the COVID Pandemic Response Harm Society? A Global Evaluation and State of Knowledge Review (2020-21)","source":"preprints","abstract":"","url":"https://doi.org/10.2139/ssrn.4447806","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2023","doi":"10.2139/ssrn.4447806","addedAt":"2026-08-31T06:39:48.856Z","updatedAt":"2026-08-31T06:39:57.843Z"},{"id":"doi:10.2139/ssrn.3689054","name":"Replicating Smart Cities: The City-to-City Learning Programme in the Replicate EC-H2020-SCC Project","source":"preprints","abstract":"","url":"https://doi.org/10.2139/ssrn.3689054","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2020","doi":"10.2139/ssrn.3689054","addedAt":"2026-08-31T06:39:48.856Z","updatedAt":"2026-08-31T06:39:50.412Z"},{"id":"doi:10.2139/ssrn.3683275","name":"Of American Fragility: Public Rituals, Human Rights, and the End of Invisible Man","source":"preprints","abstract":"","url":"https://doi.org/10.2139/ssrn.3683275","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2020","doi":"10.2139/ssrn.3683275","addedAt":"2026-08-31T06:39:48.856Z","updatedAt":"2026-08-31T06:39:50.412Z"},{"id":"doi:10.21203/rs.3.rs-155224/v1","name":"COVID-19 impacts on energy demand can help reduce long-term mitigation challenge","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-155224/v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2021","doi":"10.21203/rs.3.rs-155224/v1","addedAt":"2026-08-31T06:39:48.856Z","updatedAt":"2026-08-31T06:39:54.187Z"},{"id":"doi:10.1101/2020.05.24.20111963","name":"COVID-19: Effects of environmental conditions on the propagation of respiratory droplets","source":"preprints","abstract":"","url":"https://doi.org/10.1101/2020.05.24.20111963","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2020","doi":"10.1101/2020.05.24.20111963","addedAt":"2026-08-31T06:39:48.856Z","updatedAt":"2026-08-31T06:39:50.412Z"},{"id":"doi:10.2139/ssrn.3914703","name":"Tracking Weekly State-level Economic Conditions","source":"preprints","abstract":"","url":"https://doi.org/10.2139/ssrn.3914703","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2021","doi":"10.2139/ssrn.3914703","addedAt":"2026-08-31T06:39:48.856Z","updatedAt":"2026-08-31T06:39:54.187Z"},{"id":"doi:10.2139/ssrn.4175841","name":"The Prospects for Developing Inland Logistics Ports in California","source":"preprints","abstract":"","url":"https://doi.org/10.2139/ssrn.4175841","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2022","doi":"10.2139/ssrn.4175841","addedAt":"2026-08-31T06:39:48.856Z","updatedAt":"2026-08-31T06:39:50.412Z"},{"id":"doi:10.20944/preprints202007.0095.v1","name":"Impact of the SARS-CoV-2 on the Italian Agri-food Sector: An Analysis of the Quarter of Pandemic Lockdown and Clues for a Socio-Economic and Territorial Restart","source":"preprints","abstract":"The recent outbreak of a new Coronavirus has developed into a global pandemic with about 10,5 million reported cases and over 500,000 deaths worldwide. Our prospective paper reports an updated analysis of the impact that this pandemic had on the Italian agri-food sector during the national lockdown and discusses why and how this unprecedented economic crisis could be a turning point to deal with the overall sustainability of food and agricultural systems in the frame of the forthcoming European Green Deal. Its introductory part includes a wide-ranging examination of the first quarter of pandemic emergency, with a specific focus on the primary production, to be understood as agriculture (i.e. crops and livestock, and their food products), fisheries and forestry. The effect on the typical food and wine exports, and the local environment tourism segments is also taken into account in this analysis, because of their old and deep roots into the cultural and historical heritage of the country. The subsequent part of the paper is centered on strategic lines and research networks for an efficient socio-economic and territorial restart, and a faster transition to sustainability in the frame of a circular bio-economy. Particular emphasis is given to the urgent need of investments in research and development concerning agriculture, in terms of not only a fruitful penetration of the agro-tech for a next-generation agri-food era, but also a deeper attention to the natural and environmental resources, including forestry. As for the rest of Europe, Italy demands actions to expand knowledge and strengthen research applied to technology transfer for innovation activities aimed at providing solutions for a climate neutral and resilient society, in reference to primary production to ensure food security and nutrition quality. Our expectation is that science and culture return to play a central role in national society, as their main actors are capable of making a pivotal contribution to renew and restart the whole primary sector and agri-food industry, addressing also social and environmental issues, and so accelerating the transition to sustainability.","url":"https://doi.org/10.20944/preprints202007.0095.v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2020","doi":"10.20944/preprints202007.0095.v1","addedAt":"2026-08-31T06:39:48.856Z","updatedAt":"2026-08-31T06:39:50.412Z"},{"id":"doi:10.2139/ssrn.4062021","name":"The New Southern Policy Plus Progress and Way Forward","source":"preprints","abstract":"Over the past three decades, the Republic of Korea (hereinafter, Korea) has shown a great commitment to cooperating with ASEAN member states and India. Starting with the establishment of a sectoral dialogue partnership in 1989, Korea has developed a comprehensive partnership with ASEAN over the years. The ASEAN-KOREA FTA was completed in 2009 and the elevation of bilateral relations to a ‘strategic partnership’ in 2010 served as a momentum to strengthen our economic and security partnership. By sharing cultural proximity rooted in Asian values, ASEAN and Korea have also enjoyed robust socio-cultural exchanges. Meanwhile, regarding to India and Korea relations, both countries established a long-term cooperative partnership for peace and prosperity in October 2004 as a channel to enhance mutual interests between the two countries. Korea has further deepened its relations with India by concluding the CEPA in 2009 and upgrading its relations into a ‘special strategic partnership’ in 2015. The New Southern Policy (hereinafter NSP), announced in November 2017 in Indonesia, has further deepened Korea’s strategic partnership with ASEAN and India under the vision of achieving a ‘People-centered Community of Peace and Prosperity.’ ASEAN-Korea relations were developed to a level of Korea’s diplomatic ties with the United States, China, Japan, and Russia. The India-Korea Summit of 2018 adopted the Shared Vision for People, Prosperity, Peace, and the Future to strengthen mid-to-long term bilateral relations. President Moon Jae-in visited all ASEAN member states and had two summit meetings with India. Moreover, the Korean government hosted the ASEAN-ROK Commemorative Summit, launching the first Mekong-ROK Summit in 2019. The NSP pursues the three pillars of People, Peace, and Prosperity as a common foundation to realize its vision. ‘People’ aims to make safer, better lives and greater interaction in the NSP region, that is, ASEAN member states and India. ‘Peace’ seeks a community where all are free from fear or threat. The goal of ‘Prosperity’ aims to create mutually beneficial and future-oriented economic cooperation. The number of visitors, trade volume, and investment between Korea and the NSP region has unprecedently increased with the help of NSP partners’ policies. The NSP has since evolved into the NSP Plus amid the Covid-19 pandemic and the US-China rivalry. Korea and NSP partners together have to overcome the global health crisis and reconstruct global value chains to ensure the safety of the people and free trade in the region. To achieve these goals, the Korean government presented an upgraded version of the NSP in November 2020, reflecting changes in the current environment for cooperation. The NSP Plus promotes seven Initiatives as follows: 1) comprehensive healthcare cooperation, 2) sharing Korea’s education model for human resource development, 3) promotion of mutual cultural exchanges, 4) formation of mutually beneficial and sustainable trade and investment, 5) support for rural villages and urban infrastructure development, 6) cooperation in future industries for common prosperity, and 7) cooperation for safe and peaceful communities. In this context, this publication aims at examining the progress of the NSP Plus and discussing a way forward for sustainable cooperation between Korea and NSP partners. It comprises four sections and eighteen chapters. Section 1 provides overviews of the NSP Plus from the perspectives of Korea, ASEAN, and India to evaluate the NSP in a more comprehensive manner. Sections 2 and 3 deal with a sectoral analysis of the NSP Plus including trade, investment, infrastructure, human resource development, and security in the divisions of ASEAN and India. Section 4 summarizes the progress of NSP Plus in the region, suggesting prospects and future tasks to further expand cooperative relations between Korea and NSP partners. I would like to express my deepest gratitude to the distinguished scholars from Korea and NSP partners who have gladly contributed to this publication. Special appreciation goes to honorable ambassadors for their insightful overviews of the NSP Plus: Ambassador Kim Young-sun, Ambassador Shin Bongkil, Ambassador Ong Keng Yong, and Ambassador Mohan Kumar. I am also grateful to our research fellows and senior researchers in the New Southern Policy Department at the Korea Institute for International Economic Policy (KIEP), who managed the whole publication process and contributed two chapters in Section 4. I hope that this publication can promote active discussions on new visions and policy proposals for the New Southern Policy Plus, as we work to advance together in the fast-changing global environments.","url":"https://doi.org/10.2139/ssrn.4062021","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2022","doi":"10.2139/ssrn.4062021","addedAt":"2026-08-31T06:39:48.856Z","updatedAt":"2026-08-31T06:39:54.187Z"},{"id":"doi:10.2139/ssrn.4225026","name":"Government & Economics 4.0: A More Fair, Just, and Equitable World, for the Long-Term Survival of Mankind","source":"preprints","abstract":"Governance and economics are the underpinnings of every family, neighbourhood, Town, City, Province or Territory, Country, and our World. As our world has become increasingly complex, and wonderfully nuanced over the past 50 to 100 years, the backbone of our global society, has done the opposite; it has been stagnant, stale and resolute. These three adjectives do not bode well for the evolution, prosperity or survival of mankind. The COVID-19 pandemic has highlighted already existing inefficiencies in our current form of governance, and inequities in our current practice of economics; meanwhile, our climate physics continue their downward trajectory. If we continue to rely on the dynamism of a democratic system of governance and capitalism, our society may be in grave danger. We use a democratic system of governance and promote capitalism. Therefore, our society is in grave danger. If we value our future; if we would like our species to survive The Anthropocene, governance and economics in their current state, must change, now. Welcome, Government & Economics 4.0. Government & Economics 4.0 is a system designed to produce a more fair, just and equitable world, for the long-term survival of mankind. Government & Economics 4.0 achieves its' primary function by repurposing some key relationships within, and between, the institutions that govern us; elevating our relationship with money by measuring what matters; and, changing the culture of Government. Is Government & Economics 4.0 perfect? Easy answer, \"no\"; however, in design, is a system that allows society to explore its perfection, as it relates to the survival of our species. Government & Economics 4.0 facilitates a new way of using the tools of government and economics to support, not only, the quality of our lives as individuals, but also the quality of our lives as a human race, which will result, in the survival of the human race. Government & Economics 4.0 increases the quality of life of all citizens by addressing the shortcomings of our political systems, and our current model of economics; moreover, by applying a full and complete understanding of what is of value, to the entirety of our current systems. The appropriate way to look at Government & Economics 4.0, and the appropriate questions to ask upon completion of this thesis are: Is this framework more responsive to our current needs in a rapidly evolving society? Is Government & Economics 4.0 a good system? And, with reasonable assumptions made, can the values, principles, goals, and metrics employed by Government & Economics 4.0 produce its primary outcome?","url":"https://doi.org/10.2139/ssrn.4225026","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2022","doi":"10.2139/ssrn.4225026","addedAt":"2026-08-31T06:39:48.856Z","updatedAt":"2026-08-31T06:39:50.412Z"},{"id":"doi:10.2139/ssrn.3907183","name":"The Vulnerability Project: The Impact of COVID-19 on Vulnerable Groups","source":"preprints","abstract":"","url":"https://doi.org/10.2139/ssrn.3907183","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2021","doi":"10.2139/ssrn.3907183","addedAt":"2026-08-31T06:39:48.856Z","updatedAt":"2026-08-31T06:39:50.412Z"},{"id":"doi:10.2139/ssrn.4327105","name":"Cutting Through: How to Address the Cost of Living Crisis","source":"preprints","abstract":"The cost-of-living crisis has been worsened by longer-term structural factors, beyond the immediate issues posed by loose monetary policy and supply-side constraints. Indeed, there were discussions about a cost-of-living crisis over a decade ago, long before Covid, the Ukraine war or Brexit. The British state intervenes heavily in various product markets through tax and regulatory measures, in ways which drive up costs. Some of those interventions may be justified (e.g. to correct externalities), but in many cases the costs imposed on consumers are substantial, while the benefits are either trivial or highly speculative. Childcare costs in the UK have risen to one of the highest levels in the developed world. This is in large part due to stringent minimum staff-to-children ratios, the imposition of a ‘curriculum’, accreditation costs and, more generally, over-formalisation of the sector. Relaxing childcare sector regulatory requirements does not have to mean complete deregulation. It could merely mean bringing them more into line with what is standard practice in many European neighbour countries. This could cut costs by around 40 per cent, or over £300 per child and per month. The ratio of median house prices to median gross full-time annual earnings has gone up from under 4 in the late 1990s to over 9 today. Rents in UK towns and cities are among the highest in the developed world. Renting a flat in Oxford, for example, is more expensive than renting a comparable flat in Berlin, Vienna, Rome or Brussels. There is a wealth of empirical evidence which shows that the severity of land use planning restrictions is a key determinant of housing costs. Easing restrictions in such a way that housing costs could fall back into line with the historic norm would imply a drop by at least 40 per cent. Median private sector rents in England could fall by over £250 per month. Paternalistic ‘nanny-state’ taxes cost a moderate smoker and drinker about £140 a month. These taxes could be cut back to a realistic estimate of the external costs imposed on others by those activities. Excessive occupational licensing rules and immigration restrictions raise consumer prices without a detectable increase in the safety or quality of the affected services. The UK should unilaterally abolish tariffs, and automatically recognise regulatory standards from countries where those standards can be reasonably expected to be equivalent to domestic ones. The UK has chosen an inefficient, unnecessarily costly decarbonisation strategy, which drives up energy costs for households and businesses by more than what is required in order to reduce CO2 emissions. The government should phase out renewable energy subsidies, bring carbon pricing into line with the EU average, allow the hydraulic fracturing (‘fracking’) of shale gas, and remove obstacles to investment in North Sea oil.","url":"https://doi.org/10.2139/ssrn.4327105","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2023","doi":"10.2139/ssrn.4327105","addedAt":"2026-08-31T06:39:48.856Z","updatedAt":"2026-08-31T06:39:54.187Z"},{"id":"doi:10.2139/ssrn.3665230","name":"A New World Post COVID-19: Lessons for Business, the Finance Industry and Policy Makers","source":"preprints","abstract":"Pandemics are disruptive events that have profound consequences for society and the economy. This volume aims to present an analysis of the economic impact of COVID-19 and its likely consequences for our future. This is achieved by drawing from the expertise of authors who specialize in a wide range of fields including fiscal and monetary policy, banking, financial markets, pensions and insurance, artificial intelligence and big data, climate change, labor market, travel, tourism and politics, among others. We asked contributing authors to write their chapters for a non-technical audience so that their message could reach beyond academia and professional economists to policy makers and the wider society. The material in this volume draws from the latest research and provides a wealth of ideas for further investigations and opportunities for reflection. This also makes it an ideal learning tool for economics and finance students wishing to gain a deeper understanding of how COVID-19 could influence their disciplines.","url":"https://doi.org/10.2139/ssrn.3665230","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2020","doi":"10.2139/ssrn.3665230","addedAt":"2026-08-31T06:39:48.856Z","updatedAt":"2026-08-31T06:39:54.187Z"},{"id":"doi:10.2139/ssrn.3726412","name":"Equipping the Nigerian National Petroleum Corporation for the Low-Carbon Transition: How Are Other National Oil Companies Adapting?","source":"preprints","abstract":"The Nigerian National Petroleum Corporation’s (NNPC) persistent governance challenges have both hampered Nigeria’s oil sector development and deprived the country of public resources. The oil, climate, and COVID-19 crises and the ramp-up of the low-carbon transition exacerbate this reality, with the national oil company (NOC) delivering sub-optimal returns to its stakeholders. Other NOCs have taken meaningful steps to become players in the low-carbon energy transition domestically or in­ternationally—for example, Sau­di Arabia’s Saudi Aramco, Norway’s Equinor, Brazil’s Petrobras, Malaysia’s Petronas, and Algeria’s Sonatrach. These NOCs can serve as sources of inspiration for NNPC. These five NOCs have also undergone reforms of various aspects of their corporate governance. Even if not always sufficient, these reforms position them to be players of the energy transition. The current crisis provides a unique opportunity and political momentum for the Nigerian government and legislature to reconsider NNPC’s role in the context of the energy transition and implement profound reform of the company. While it is an incredible policy and political challenge, other NOCs are showing the way, and policy guidance is already out there to guide countries and companies.","url":"https://doi.org/10.2139/ssrn.3726412","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2021","doi":"10.2139/ssrn.3726412","addedAt":"2026-08-31T06:39:48.856Z","updatedAt":"2026-08-31T06:39:54.187Z"},{"id":"doi:10.2139/ssrn.4186955","name":"Proceedings of the International Conference European Union’s History, Culture and Citizenship, 13th Edition, 2021","source":"preprints","abstract":"The International Conference European Union’s History, Culture and Citizenship was founded in 2008 and it is dedicated to the academic teachers and researchers, lawyers, magistrates, Ph.D. students and post-doctoral researchers into legal and administrative sciences and their auxiliary sciences, from Romania and abroad. Subjects for submission include the following main areas, but are not limited to them: Protection of human rights and protection against discrimination, European Union law, Public Law, Private Law, Forensics and Criminology, Legal Sociology, History of law, juridical philosophy. The journal promotes the original researches that contributes to the knowledge progress and are motivated by the necessity of studying the theory and practice in the mentioned areas. Currently the proceeding of the conference “Union’s History, Culture and Citizenship”, are included scientific articles which debate problems from legal sciences field: DIGITALIZATION AND CONSTITUTIONAL LAW; RUSSIA, THE EUROPEAN UNION AND NATO; ANTICOVID LABOUR LAW IN POLAND; INTERNATIONAL LEGAL INSTRUMENTS FOR RESOLVING REGIONAL CRISES IN THE EAST; PECULIARITIES OF FOREST PROTECTION IN AUSTRIA; CORONAVIRUS VACCINATION AND THE NEW EUROPEAN LEGAL FRAMEWORK; In the last three issues (2014- 2020) the studies were written only in English and published on-line with Online: ISSN 2360- 395X, CD-ROM: ISSN 2360 – 1841, ISSN-L 2360 – 1841, in order to increase the national and international visibility of the journal.","url":"https://doi.org/10.2139/ssrn.4186955","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2022","doi":"10.2139/ssrn.4186955","addedAt":"2026-08-31T06:39:48.856Z","updatedAt":"2026-08-31T06:39:52.485Z"},{"id":"doi:10.2139/ssrn.3869176","name":"A Test of Stakeholder Governance","source":"preprints","abstract":"","url":"https://doi.org/10.2139/ssrn.3869176","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2021","doi":"10.2139/ssrn.3869176","addedAt":"2026-08-31T06:39:48.856Z","updatedAt":"2026-08-31T06:39:54.187Z"},{"id":"doi:10.2139/ssrn.3671830","name":"Foreword: The Degradation of American Democracy—and the Court","source":"preprints","abstract":"","url":"https://doi.org/10.2139/ssrn.3671830","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2020","doi":"10.2139/ssrn.3671830","addedAt":"2026-08-31T06:39:48.856Z","updatedAt":"2026-08-31T06:39:54.187Z"},{"id":"doi:10.1109/dasc62030.2024.10749086","name":"A Human-In-The-Loop Simulation for Urban Air Mobility in the Terminal Area","source":"crossref","abstract":"","url":"https://doi.org/10.1109/dasc62030.2024.10749086","authors":["Anne S. Suzuki","Abhinay I. Tiwari","QuangV. Dao"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-11-15T18:44:23Z","doi":"10.1109/dasc62030.2024.10749086","addedAt":"2026-08-31T06:39:49.544Z","updatedAt":"2026-08-31T06:39:49.544Z"},{"id":"doi:10.5302/j.icros.2024.24.9001","name":"Guest Editorial: Urban Air Mobility and Vertiport System","source":"crossref","abstract":"","url":"https://doi.org/10.5302/j.icros.2024.24.9001","authors":["Sungwook Cho"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-02-08T03:13:35Z","doi":"10.5302/j.icros.2024.24.9001","addedAt":"2026-08-31T06:39:49.544Z","updatedAt":"2026-08-31T06:39:49.544Z"},{"id":"doi:10.2139/ssrn.4724434","name":"Enabling Fast Discharge Li-Ion Batteries Via Electrolyte Formulations for Urban Air Mobility Applications","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.4724434","authors":["Ilias Belharouak","Anuj Bisht","Marm Dixit","Ruhul Amin","Rachid Essehli","Ali Abouimrane","Chol-Bum Kweon"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-02-13T13:04:36Z","doi":"10.2139/ssrn.4724434","addedAt":"2026-08-31T06:39:49.544Z","updatedAt":"2026-08-31T06:39:49.544Z"},{"id":"doi:10.23890/ijast.vm05is01.0105","name":"Urban Air Mobility (UAM) Network. Case Study: Baku Metropolitan Area","source":"crossref","abstract":"The development and implementation of the Urban Air Mobility transportation system, using electric vertical takeoff and landing (e-VTOL) aircrafts are the most promising solutions to mitigate growing congestion in big cities. The multiple studies and assumed forecasts indicate a transformation of urban and regional transportation infrastructure while applying the air mobility concept. This study analyzes the feasibility of UAM operations focused on the selection of service segmentation with relevant use cases, which allows for define suitable air vehicle configurations for optimization of possible air network development for Baku city and suburban areas. The result of the study introduces air vehicle features, including flight range, payload ratio, as well as several aspects of weather condition for safe operations, and outlines approaches to defining suitable regulatory framework requirements for public departments. The findings provide a practical perspective for urban planners and involved single companies, which may be useful guidelines at the initial stages of UAM services and obtaining significant information about e-VTOL aircraft and their design configurations to overcome arising barriers in the implementation processes.","url":"https://doi.org/10.23890/ijast.vm05is01.0105","authors":["Tapdig Imanov"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-06-21T16:20:14Z","doi":"10.23890/ijast.vm05is01.0105","addedAt":"2026-08-31T06:39:49.544Z","updatedAt":"2026-08-31T06:39:49.544Z"},{"id":"doi:10.1596/41738","name":"Western Balkans Urban Mobility Initiative - Summary Report","source":"crossref","abstract":"","url":"https://doi.org/10.1596/41738","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-07-25T18:46:37Z","doi":"10.1596/41738","addedAt":"2026-08-31T06:39:49.544Z","updatedAt":"2026-08-31T06:39:49.544Z"},{"id":"doi:10.1115/qnde2024-133619","name":"Assessing Impact-Related Damage in Urban Air Mobility with Acoustic Emission Sensing","source":"crossref","abstract":"Abstract The integrity and reliability of composite components for Urban Air Mobility (UAM) is critical to operational safety and performance. A significant challenge to maintaining this integrity comes from airborne particulate impacts, which can lead to unforeseen damage and degradation. Timely and accurate monitoring and assessment of such impact damage is a critical requirement for safe operations. This paper introduces a novel in-flight impact assessment methodology employing acoustic emission sensing technology. The focus of the approach is to evaluate the extent of impact damage on a given UAM component by scrutinizing the acoustic emission signals generated under in-flight stress conditions. A sophisticated algorithm, based on the Gradient Boosting Decision Tree model, is proposed to estimate the probability that the damage sustained by a component belongs to different damage classes. A series of composite material panels were fabricated and exposed to impacts at various energy levels. Subsequently, C-scan imaging was conducted on the intermediate regions, followed by a series of Compression After Impact (CAI) tests. The entire CAI testing process was monitored using acoustic emission sensors. The acoustic emission signals collected from the CAI testing provided preliminary validation for the approach proposed in this paper, demonstrating its potential feasibility in assessing impact damage.","url":"https://doi.org/10.1115/qnde2024-133619","authors":["Li Ai","Tanner Mesaric","Sydney Flowers","Joshua Widawsky","Sydney Houck","Sourav Banerjee","Paul Ziehl"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-10-21T20:32:01Z","doi":"10.1115/qnde2024-133619","addedAt":"2026-08-31T06:39:49.544Z","updatedAt":"2026-08-31T06:39:57.284Z"},{"id":"doi:10.1016/j.jairtraman.2024.102645","name":"What drives users to accept flying cars for urban air mobility? Findings from an empirical study","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.jairtraman.2024.102645","authors":["Jiangling Wu","Qiang He","Amit Kumar Singh","Linjie Tian"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-07-13T13:59:12Z","doi":"10.1016/j.jairtraman.2024.102645","addedAt":"2026-08-31T06:39:49.544Z","updatedAt":"2026-08-31T06:39:49.544Z"},{"id":"doi:10.1109/smartcomp61445.2024.00023","name":"POSCA: Path Optimization for Solar Cover Amelioration in Urban Air Mobility","source":"crossref","abstract":"","url":"https://doi.org/10.1109/smartcomp61445.2024.00023","authors":["Debjyoti Sengupta","Anurag Satpathy","Sajal K. Das"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-07-24T17:49:43Z","doi":"10.1109/smartcomp61445.2024.00023","addedAt":"2026-08-31T06:39:49.544Z","updatedAt":"2026-08-31T06:39:49.544Z"},{"id":"doi:10.1007/978-3-031-59754-1","name":"Embedded Platforms for UAS Landing Path and Obstacle Detection II","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-031-59754-1","authors":["Gennaro Ariante","Umberto Papa"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-06-15T13:01:48Z","doi":"10.1007/978-3-031-59754-1","addedAt":"2026-08-31T06:39:49.544Z","updatedAt":"2026-08-31T06:39:49.544Z"},{"id":"doi:10.1016/j.tre.2024.103569","name":"Maximum capture problem for urban air mobility network design","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.tre.2024.103569","authors":["Songyot Kitthamkesorn","Anthony Chen"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-05-21T11:33:47Z","doi":"10.1016/j.tre.2024.103569","addedAt":"2026-08-31T06:39:49.544Z","updatedAt":"2026-08-31T06:39:56.013Z"},{"id":"doi:10.2139/ssrn.4907245","name":"Mobility-as-A-Universal-Basic-Service (Maaubs): Towards Genuinely Sustainable Urban Mobility","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.4907245","authors":["Jonas Weisser"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-07-26T23:21:33Z","doi":"10.2139/ssrn.4907245","addedAt":"2026-08-31T06:39:49.544Z","updatedAt":"2026-08-31T06:39:49.544Z"},{"id":"doi:10.2514/6.2024-1952","name":"The Vertiport Human Automation Teaming Toolbox (V-HATT) for the Design and Evaluation of Urban Air Mobility Infrastructure","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2024-1952","authors":["Paul Krois","Joseph Block","Paul Cobb","Gano Chatterji","Shulu Chen","Peng Wei"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-01-29T22:05:19Z","doi":"10.2514/6.2024-1952","addedAt":"2026-08-31T06:39:49.544Z","updatedAt":"2026-08-31T06:39:49.544Z"},{"id":"doi:10.3390/aerospace11030174","name":"Objective Detection of Trust in Automated Urban Air Mobility: A Deep Learning-Based ERP Analysis","source":"crossref","abstract":"Urban Air Mobility (UAM) has emerged in response to increasing traffic demands. As UAM involves commercial flights in complex urban areas, well-established automation technologies are critical to ensure a safe, accessible, and reliable flight. However, the current level of acceptance of automation is insufficient. Therefore, this study sought to objectively detect the degree of human trust toward UAM automation. Electroencephalography (EEG) signals, specifically Event-Related Potentials (ERP), were employed to analyze and detect operators’ trust towards automated UAM, providing insights into cognitive processes related to trust. A two-dimensional convolutional neural network integrated with an attention mechanism (2D-ACNN) was also established to enable the end-to-end detection of trust through EEG signals. The results revealed that our proposed 2D-ACNN outperformed other state-of-the-art methods. This work contributes to enhancing the trustworthiness and popularity of UAM automation, which is essential for the widespread adoption and advances in the UAM domain.","url":"https://doi.org/10.3390/aerospace11030174","authors":["Yuhan Li","Shuguang Zhang","Ruichen He","Florian Holzapfel"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-02-21T10:52:00Z","doi":"10.3390/aerospace11030174","addedAt":"2026-08-31T06:39:49.544Z","updatedAt":"2026-08-31T06:39:49.544Z"},{"id":"doi:10.33012/2024.19613","name":"Optimization-Based Collision Avoidance Algorithm for Urban Air Mobility Through Dynamic Programming","source":"crossref","abstract":"","url":"https://doi.org/10.33012/2024.19613","authors":["Young-Jin Roh","Ji-Ung Im","Jong-Hoon Won"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-05-08T19:49:36Z","doi":"10.33012/2024.19613","addedAt":"2026-08-31T06:39:49.544Z","updatedAt":"2026-08-31T06:39:49.544Z"},{"id":"doi:10.1016/j.urbmob.2024.100089","name":"Enhancing last mile connectivity using shared mobility: A stated preference survey of business park commuters","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.urbmob.2024.100089","authors":["Fredrik Solvi Hoen","Hanne Finsveen","Kelly Pitera","Trude Tørset"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-10-13T13:54:01Z","doi":"10.1016/j.urbmob.2024.100089","addedAt":"2026-08-31T06:39:49.544Z","updatedAt":"2026-08-31T06:39:49.544Z"},{"id":"doi:10.1016/j.geits.2024.100173","name":"A demand forecasting model for urban air mobility in Chengdu, China","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.geits.2024.100173","authors":["Wenqiu Qu","Jie Huang","Chenglong Li","Xiaohan Liao"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-01-18T13:46:19Z","doi":"10.1016/j.geits.2024.100173","addedAt":"2026-08-31T06:39:49.544Z","updatedAt":"2026-08-31T06:39:49.544Z"},{"id":"doi:10.1016/j.urbmob.2024.100081","name":"Spillover effects in transit networks: A parameterized weight matrix spatial lagged approach","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.urbmob.2024.100081","authors":["Paraskevas Nikolaou","Loukas Dimitriou"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-06-20T17:46:06Z","doi":"10.1016/j.urbmob.2024.100081","addedAt":"2026-08-31T06:39:49.544Z","updatedAt":"2026-08-31T06:39:49.544Z"},{"id":"doi:10.33599/nasampe/c.24.0237","name":"Revolutionizing Molding Accuracy for Aviation and Urban Air Mobility: The Power of Low Thermal Expansion Tooling in CFRTP Compression Molding","source":"crossref","abstract":"","url":"https://doi.org/10.33599/nasampe/c.24.0237","authors":["H. Ohno","J. Go","K. Ona","N. Sakaguchi","S. Matsumura","U. Yoshioka","H. Fujii"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-11-28T14:18:27Z","doi":"10.33599/nasampe/c.24.0237","addedAt":"2026-08-31T06:39:49.544Z","updatedAt":"2026-08-31T06:39:49.544Z"},{"id":"doi:10.1109/noms59830.2024.10575247","name":"Energy-Efficient Trajectory and Age of Information Optimization for Urban Air Mobility","source":"crossref","abstract":"","url":"https://doi.org/10.1109/noms59830.2024.10575247","authors":["Hyeonsu Kim","Yu Min Park","Pyae Sone Aung","Md. Shirajum Munir","Choong Seon Hong"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-07-02T13:23:51Z","doi":"10.1109/noms59830.2024.10575247","addedAt":"2026-08-31T06:39:49.544Z","updatedAt":"2026-08-31T06:39:49.544Z"},{"id":"doi:10.56294/tms202241","name":"Urban mobility and accessibility. Design of a body support object for people with physical impairments: Design for personal urban mobility","source":"crossref","abstract":"Urban mobility for disabled people in Córdoba reveals an importance lack of infrastructure in order to make feel more comfortable and safer when they go through the city. The main purpose of this project is to design a body support object which bring a solution to exceed all the physical urban and furniture barriers that disabled people have.Given the importance of this topic around the world, we considered how we could create a solution to improve their mobility and even recover after surgery that these people have to deal daily.The present investigation, we analyzed the different difficulties that a person with reduced mobility has. We found that not only the lack of infrastructure and accessibility in urban areas generate difficulties to them but also the oversize of the objects used for mobilization. Regarding this, when asked, people answered that using certain orthopedic objects bring others physical damages to other parts of the body, limiting more their daily activities and having to depend on the help of other person.After this, we carried out an analysis of existing products in the market, which gave us a guideline on how to deal with the problems posed. Then, we took certain qualities of other products that are introduced to other non-health areas.Finally, as a result of the research, a proposal was obtained an orthopedic crutches that directly benefits people with a particular physical deficiency, whether temporary or permanent, so that they have the possibility of improving their mobility and even their recovery, and in this way have a better quality of life.","url":"https://doi.org/10.56294/tms202241","authors":["Francisco Mañá Balbastro","Eliana Armayor"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-09-07T06:59:34Z","doi":"10.56294/tms202241","addedAt":"2026-08-31T06:39:49.544Z","updatedAt":"2026-08-31T06:39:49.544Z"},{"id":"doi:10.1016/j.urbmob.2024.100090","name":"Effects of different mobility concepts in new residential areas","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.urbmob.2024.100090","authors":["Matthias Heinrichs","Stefanie Schöne","Jakob Geischberger","María López Díaz"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-10-18T02:08:41Z","doi":"10.1016/j.urbmob.2024.100090","addedAt":"2026-08-31T06:39:49.544Z","updatedAt":"2026-08-31T06:39:49.544Z"},{"id":"doi:10.4324/9781032711799-8","name":"Theoretical Lessons for Sustainable Urban Mobility","source":"crossref","abstract":"","url":"https://doi.org/10.4324/9781032711799-8","authors":["Tumbenthung Y. Humtsoe"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-01-24T16:51:44Z","doi":"10.4324/9781032711799-8","addedAt":"2026-08-31T06:39:49.544Z","updatedAt":"2026-08-31T06:39:49.544Z"},{"id":"doi:10.4324/9781032711799-9","name":"Empirical Lessons for Sustainable Urban Mobility","source":"crossref","abstract":"","url":"https://doi.org/10.4324/9781032711799-9","authors":["Tumbenthung Y. Humtsoe"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-01-24T16:51:44Z","doi":"10.4324/9781032711799-9","addedAt":"2026-08-31T06:39:49.544Z","updatedAt":"2026-08-31T06:39:49.544Z"},{"id":"doi:10.1002/9781394256204.ch11","name":"Geographical Inequalities in the Analysis of Urban Mobility","source":"crossref","abstract":"","url":"https://doi.org/10.1002/9781394256204.ch11","authors":["Florent LE NÉCHET"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-12-08T21:22:55Z","doi":"10.1002/9781394256204.ch11","addedAt":"2026-08-31T06:39:49.544Z","updatedAt":"2026-08-31T06:39:49.544Z"},{"id":"doi:10.1016/j.urbmob.2024.100082","name":"Low-fare public transport and modal shift – Lessons from Bonn, Germany","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.urbmob.2024.100082","authors":["Andreas Hahn","Christina Pakusch","Gunnar Stevens"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-06-22T11:39:48Z","doi":"10.1016/j.urbmob.2024.100082","addedAt":"2026-08-31T06:39:49.544Z","updatedAt":"2026-08-31T06:39:49.544Z"},{"id":"doi:10.1002/9781394256204.ch10","name":"Categorical Pitfalls for Analyzing Urban Mobility","source":"crossref","abstract":"","url":"https://doi.org/10.1002/9781394256204.ch10","authors":["Hadrien COMMENGES","Florent LE NÉCHET"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-12-08T21:22:55Z","doi":"10.1002/9781394256204.ch10","addedAt":"2026-08-31T06:39:49.544Z","updatedAt":"2026-08-31T06:39:49.544Z"},{"id":"doi:10.32920/25164608.v1","name":"Gamified Cities: The Gamification of Urban Mobility","source":"crossref","abstract":"&lt;p&gt;This paper will explore the use of gamification and digital storytelling methods as a way of navigating within a city. The ‘Pervasive Game Design Framework’ (PGDF) will be used as a framework to structure the research of this paper (Sobke et al., 2017). Gamification has many social elements that can be used to encourage and further motivate players to interact and engage with one another in the game while participating in the same activity (Guo et al., 2021). The purpose of this paper is to explore how gamification methods can be used to motivate players to use different modes of transportation other than driving, and participate in active mode choice-making to benefit their physical health. The use of alternate modes of transportation can also aid in the overall sustainability and energy saving of a city. The sociological implications of gamification in a travel-based context will be used to gauge how participants and players interact with each other and also the physical and digital spaces that they are in. In addition to that, the psychological implications on behavioural neuroscience on an individual level will also be explored in a travel-based context. Games like ‘Pokemon GO’ and ‘Ingress’ will be analyzed through the MDA (Mechanics, Dynamics, and Aesthetics) framework and be used as case studies in the area where gamification and city navigation meet. In both of these games, there are multiple layers of the physical and digital spaces working together to form the game. ‘Pokemon GO’ and ‘Ingress’ both include several motivational factors that keep players enticed, such as social aspects, being outdoors and recreation.&lt;/p&gt;","url":"https://doi.org/10.32920/25164608.v1","authors":["Katy Lee"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-02-07T17:37:35Z","doi":"10.32920/25164608.v1","addedAt":"2026-08-31T06:39:49.544Z","updatedAt":"2026-08-31T06:39:49.544Z"},{"id":"doi:10.32920/25164608","name":"Gamified Cities: The Gamification of Urban Mobility","source":"crossref","abstract":"&lt;p&gt;This paper will explore the use of gamification and digital storytelling methods as a way of navigating within a city. The ‘Pervasive Game Design Framework’ (PGDF) will be used as a framework to structure the research of this paper (Sobke et al., 2017). Gamification has many social elements that can be used to encourage and further motivate players to interact and engage with one another in the game while participating in the same activity (Guo et al., 2021). The purpose of this paper is to explore how gamification methods can be used to motivate players to use different modes of transportation other than driving, and participate in active mode choice-making to benefit their physical health. The use of alternate modes of transportation can also aid in the overall sustainability and energy saving of a city. The sociological implications of gamification in a travel-based context will be used to gauge how participants and players interact with each other and also the physical and digital spaces that they are in. In addition to that, the psychological implications on behavioural neuroscience on an individual level will also be explored in a travel-based context. Games like ‘Pokemon GO’ and ‘Ingress’ will be analyzed through the MDA (Mechanics, Dynamics, and Aesthetics) framework and be used as case studies in the area where gamification and city navigation meet. In both of these games, there are multiple layers of the physical and digital spaces working together to form the game. ‘Pokemon GO’ and ‘Ingress’ both include several motivational factors that keep players enticed, such as social aspects, being outdoors and recreation.&lt;/p&gt;","url":"https://doi.org/10.32920/25164608","authors":["Katy Lee"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-02-07T17:37:42Z","doi":"10.32920/25164608","addedAt":"2026-08-31T06:39:49.544Z","updatedAt":"2026-08-31T06:39:49.544Z"},{"id":"doi:10.29327/xxi-sitraer-2024.902710","name":"TECHNOLOGICAL REQUIREMENTS FOR ENABLING URBAN AIR MOBILITY (UAM) INTO BRAZILIAN AIRSPACE CONTROL SYSTEM (SISCEAB): A COMPREHENSIVE ANALYSIS","source":"crossref","abstract":"","url":"https://doi.org/10.29327/xxi-sitraer-2024.902710","authors":["Flavio Neri Hadmann Jasper","DANILO GUIMARAES LIMA","Dennis Nascimento Nepomuceno"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-12-20T13:28:21Z","doi":"10.29327/xxi-sitraer-2024.902710","addedAt":"2026-08-31T06:39:49.544Z","updatedAt":"2026-08-31T06:39:49.544Z"},{"id":"doi:10.1007/978-3-031-53385-3_2","name":"A Study on the Intention to Use the Urban Air Mobility Passenger Transportation Service","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-031-53385-3_2","authors":["Soohong Min"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-03-12T19:07:47Z","doi":"10.1007/978-3-031-53385-3_2","addedAt":"2026-08-31T06:39:49.544Z","updatedAt":"2026-08-31T06:39:49.544Z"},{"id":"doi:10.1109/icns60906.2024.10550825","name":"TADAD: Trust AI-based Decentralized Anomaly Detection for Urban Air Mobility Networks at Tactical Edges","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icns60906.2024.10550825","authors":["Sixiao Wei","Zhengyang Fan","Genshe Chen","Erik Blasch","Yu Chen","Khanh Pham"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-06-11T17:54:38Z","doi":"10.1109/icns60906.2024.10550825","addedAt":"2026-08-31T06:39:49.544Z","updatedAt":"2026-08-31T06:39:49.544Z"},{"id":"doi:10.1109/icuas60882.2024.10556981","name":"Coordinating Cooperative Perception in Urban Air Mobility for Enhanced Environmental Awareness","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icuas60882.2024.10556981","authors":["Timo Häckel","Luca Von Roenn","Nemo Juchmann","Alexander Fay","Rinie Akkermans","Tim Tiedemann","Thomas C. Schmidt"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-06-19T17:22:59Z","doi":"10.1109/icuas60882.2024.10556981","addedAt":"2026-08-31T06:39:49.544Z","updatedAt":"2026-08-31T06:39:49.544Z"},{"id":"doi:10.3390/drones8110690","name":"Machine Learning-Based Environment-Aware GNSS Integrity Monitoring for Urban Air Mobility","source":"crossref","abstract":"The increasing deployment of unmanned aerial vehicles (UAVs) in urban air mobility (UAM) necessitates robust Global Navigation Satellite System (GNSS) integrity monitoring that can adapt to the complexities of urban environments. The traditional integrity monitoring approaches struggle with the unique challenges posed by urban settings, such as frequent signal blockages, multipath reflections, and Non-Line-of-Sight (NLoS) receptions. This study introduces a novel machine learning-based GNSS integrity monitoring framework that incorporates environment recognition to create environment-specific error models. Using a comprehensive Hardware-in-the-Loop (HIL) simulation setup, extensive data were generated for suburban, urban, and urban canyon environments to train and validate the models. The proposed Natural Gradient Boosting Protection Level (NGB-PL) method, leveraging the uncertainty prediction capabilities of the NGB algorithm, demonstrated superior performance in estimating protection levels compared to the classical methods. The results indicated that environment-specific models significantly enhanced both accuracy and system availability, particularly in challenging urban scenarios. The integration of environment recognition into the integrity monitoring framework allows the dynamic adaptation to varying environmental conditions, thus substantially improving the reliability and safety of UAV operations in urban air mobility applications. This research offers a novel protection level (PL) estimation method and a framework tailored to GNSS integrity monitoring for UAM, which enhances the availability with narrower PL bound gaps without yielding higher integrity risks.","url":"https://doi.org/10.3390/drones8110690","authors":["Oguz Kagan Isik","Ivan Petrunin","Antonios Tsourdos"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-11-19T11:58:07Z","doi":"10.3390/drones8110690","addedAt":"2026-08-31T06:39:49.544Z","updatedAt":"2026-08-31T06:39:49.544Z"},{"id":"doi:10.1016/j.urbmob.2024.100080","name":"Urban structure to determine equitable city growth for spatial justice: A case study of Chía-Bogotá, Colombia","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.urbmob.2024.100080","authors":["Vasco Barbosa","Mónica Suárez","Jorge Cerda","Ulf Thoene"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-06-08T14:19:06Z","doi":"10.1016/j.urbmob.2024.100080","addedAt":"2026-08-31T06:39:49.544Z","updatedAt":"2026-08-31T06:39:49.544Z"},{"id":"doi:10.1007/978-3-031-95284-5_62","name":"Medical Applications of Urban Air Mobility: A Study on Acceptance","source":"crossref","abstract":"Abstract In recent years, urban air mobility (UAM) has emerged as a transformative force in transportation, powered by unmanned aerial vehicles (UAVs) or drones. UAM promises to revolutionize air transport services by establishing efficient and innovative connections between cities, suburbs, rural areas, and previously inaccessible regions. This study delves deeper into one of the most promising applications of UAM, the healthcare sector, by analyzing ongoing survey data collected from healthcare workers (N = 154). The survey investigates the perceptions and attitudes of these professionals, with a specific focus on the potential applications to the Portuguese medical and healthcare services. Early results find a limited prior knowledge of using drones for medical purposes among healthcare workers. Furthermore, concerns related to safety and security are apparent. However, it is noteworthy that healthcare workers generally hold a positive outlook on both urgent and non-urgent applications of drones in their field. By recognizing and addressing these diverse perspectives, encompassing both the negative and positive aspects, through deliberate and systematic design, valuable insights can be gained. These insights have the potential to guide the development of UAM technologies in healthcare, ultimately contributing to improved services, enhanced safety, and more efficient and effective healthcare delivery.","url":"https://doi.org/10.1007/978-3-031-95284-5_62","authors":["André Teixeira Silva","Sérgio Pedro Duarte","Sandra Melo","António Lobo"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-07-18T01:49:22Z","doi":"10.1007/978-3-031-95284-5_62","addedAt":"2026-08-31T06:39:49.544Z","updatedAt":"2026-08-31T06:39:52.012Z"},{"id":"doi:10.3390/drones8050210","name":"The Challenges of Blood Sample Delivery via Drones in Urban Environment: A Feasibility Study through Specific Operation Risk Assessment Methodology","source":"crossref","abstract":"In recent years, Unmanned Aircraft System (UAS) usage in the medical sector as an alternative to traditional means of goods transport has grown significantly. Even though the reduced response time achieved with UASs can be lifesaving in critical situations, their usage must comply with technological constraints such as range, speed and capacity, while minimizing potential risks. In this paper, the feasibility of a drone operation dedicated to the transport of blood samples in an urban area is studied through a safety risk analysis. The assessment utilizes the Specific Operation Risk Assessment (SORA) framework, in line with current European regulations, and extends it to define flight trajectories with minimal risk. A case study in the Helsinki urban area is used as a reference, with an exemplary case of commercial drone transportation of blood samples between the Töölö and Malmi Hospitals. By leveraging the drone performance capabilities and minimizing the risk for people on the ground, this approach demonstrates that medical delivery using drones in densely populated urban environments remains challenging. Nonetheless, it argues that the proposed method can enhance risk awareness and support the planning of feasible operations.","url":"https://doi.org/10.3390/drones8050210","authors":["Sara Molinari","Riccardo Patriarca","Marco Ducci"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-05-20T11:06:41Z","doi":"10.3390/drones8050210","addedAt":"2026-08-31T06:39:49.544Z","updatedAt":"2026-08-31T06:39:49.544Z"},{"id":"doi:10.4050/f-0080-2024-1226","name":"Urban/Advanced Air Mobility Interactional Aerodynamic Modeling for Flight Mechanics Applications","source":"crossref","abstract":"Flight mechanics modeling and real-time simulation of rotorcraft have many challenges including the aerodynamics and dynamics of the rotor system, rotor inflow, and wake-airframe interactions. Furthermore, interactional aerodynamic effects are difficult to characterize, in particular during early configuration down-selection. Rotorcraft configurations under consideration for advanced air mobility applications are trending toward designs with coaxial rotor systems and multiple distributed propellers / rotors in close-proximity with one another and the airframe. This proximity leads to strong coupling between the rotor inflow and lifting surfaces (e.g., tiltwing and lift+cruise urban air mobility concepts). This paper describes recent work toward the development of a general-purpose modeling framework for flight mechanics analysis and simulation of rotorcraft and aircraft configurations proposed for advanced air mobility applications. This modeling framework was developed for assessment of aircraft ride qualities during urban flight operations; however, the focus of this paper is on the modeling framework development and application. Model validation with experimental data is another focus, examining scaled model data and flight test results.","url":"https://doi.org/10.4050/f-0080-2024-1226","authors":["Jeffrey D. Keller","Robert M. McKillip, Jr.","Jean-Pierre Theron","Abhinav Sharma"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-09-20T16:24:32Z","doi":"10.4050/f-0080-2024-1226","addedAt":"2026-08-31T06:39:49.544Z","updatedAt":"2026-08-31T06:39:49.544Z"},{"id":"doi:10.1016/j.ast.2024.109422","name":"Hybrid AI-based 4D trajectory management system for dense low altitude operations and Urban Air Mobility","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.ast.2024.109422","authors":["Yibing Xie","Alessandro Gardi","Man Liang","Roberto Sabatini"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-07-26T10:52:45Z","doi":"10.1016/j.ast.2024.109422","addedAt":"2026-08-31T06:39:49.544Z","updatedAt":"2026-08-31T06:39:49.544Z"},{"id":"doi:10.1080/13574809.2024.2320918","name":"How to transform urban spaces and mobility: a framework for analysing street experiments","source":"crossref","abstract":"","url":"https://doi.org/10.1080/13574809.2024.2320918","authors":["Julia Kinigadner","Benjamin Büttner","Ana Rivas de Gante","Simone Aumann"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-03-05T09:02:20Z","doi":"10.1080/13574809.2024.2320918","addedAt":"2026-08-31T06:39:49.544Z","updatedAt":"2026-08-31T06:39:49.544Z"},{"id":"doi:10.1007/978-3-031-59754-1_8","name":"Conclusions","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-031-59754-1_8","authors":["Gennaro Ariante","Umberto Papa"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-06-15T13:01:48Z","doi":"10.1007/978-3-031-59754-1_8","addedAt":"2026-08-31T06:39:49.544Z","updatedAt":"2026-08-31T06:39:49.544Z"},{"id":"doi:10.55162/mcet.07.227","name":"Sustainable Urban Living and Mobility Concept","source":"crossref","abstract":"","url":"https://doi.org/10.55162/mcet.07.227","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-09-30T18:23:41Z","doi":"10.55162/mcet.07.227","addedAt":"2026-08-31T06:39:49.544Z","updatedAt":"2026-08-31T06:39:49.544Z"},{"id":"doi:10.2514/6.2024-3941","name":"Modeling the Cascading Impact of Off-Nominal Disruptions in Urban Air Mobility Operating Environment","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2024-3941","authors":["Tien-Yueh Fung","Brady Beck","Sonali Sinha Roy","Dalia Bekdache","Yinchien Huang","Cesare Guariniello","Daniel A. DeLaurentis"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-09-20T09:39:41Z","doi":"10.2514/6.2024-3941","addedAt":"2026-08-31T06:39:49.544Z","updatedAt":"2026-08-31T06:39:49.544Z"},{"id":"doi:10.1002/9781394256204.ch1","name":"Getting Around the City","source":"crossref","abstract":"","url":"https://doi.org/10.1002/9781394256204.ch1","authors":["Gaële LESTEVEN"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-12-08T21:22:55Z","doi":"10.1002/9781394256204.ch1","addedAt":"2026-08-31T06:39:49.544Z","updatedAt":"2026-08-31T06:39:49.544Z"},{"id":"doi:10.3366/edinburgh/9781399508483.003.0001","name":"Introduction: Mobility, Concealment, Transparency","source":"crossref","abstract":"Opening from an explication of the term ‘invisible architecture’, a concept which rethinks the relationship between mobility, concealment and transparency as elements of urban space, this Introduction analyses the Crystal Palace in George Gissing’s The Nether World (1889) as an example of the approach to be taken throughout the book. Through discussions of existing criticism, and of Chernychevsky and Dostoevsky’s appropriations of the Crystal Palace, the chapter positions the book within a tradition of undoing oppositions between the hidden and concealed, while also arguing for an approach that reads literature and architecture as mutually constitutive. It also introduces the idea of an interpenetration of visible and invisible via Sigfried Giedion, Jacques Rancière and Walter Benjamin, which will be taken up in later chapters.","url":"https://doi.org/10.3366/edinburgh/9781399508483.003.0001","authors":["Ben Moore"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-10-07T13:41:58Z","doi":"10.3366/edinburgh/9781399508483.003.0001","addedAt":"2026-08-31T06:39:49.544Z","updatedAt":"2026-08-31T06:39:49.544Z"},{"id":"doi:10.56831/psen-05-149","name":"Multifunctional Cabin Combines Mobility with Living - Project LiMo (Sustainable Urban Living and Mobility Concept)","source":"crossref","abstract":"","url":"https://doi.org/10.56831/psen-05-149","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-08-28T16:58:44Z","doi":"10.56831/psen-05-149","addedAt":"2026-08-31T06:39:49.544Z","updatedAt":"2026-08-31T06:39:49.544Z"},{"id":"doi:10.2139/ssrn.5039170","name":"Assessing Amsterdam's Urban Mobility Through the Lens of Smart Mobility Goals","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.5039170","authors":["Maryam Qonita","Rini Rachmawati","R. Rijanta"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-11-29T23:39:42Z","doi":"10.2139/ssrn.5039170","addedAt":"2026-08-31T06:39:49.544Z","updatedAt":"2026-08-31T06:39:49.544Z"},{"id":"doi:10.63053/ijset.49","name":"Investigating the Need for Urban Air Mobility in Tehran City","source":"crossref","abstract":"The increase in urbanization has led to the creation of dense population in urban areas, along with economic development and the increase in vehicles, which has led to an increase in demand and consequently an increase in many challenges regarding mobility and infrastructure. Solving these challenges or reducing the effects of these challenges can have significant effects on people's daily lives. Various solutions have always been proposed to solve these challenges, some of which have been successful and some of which have not. In the city of Tehran, too, challenges have arisen due to the rapid growth of urbanization, population, and vehicles, and solutions have been proposed to solve these challenges or improve the conditions, but due to the current conditions in Tehran, these solutions have not been able to appear as successful as they should be. In this paper, by examining the conditions of Tehran in terms of noise pollution, energy and fuel consumption, air pollution, traffic conditions, public and road transportation, it is proved that Tehran needs a new mode of transportation. According to today's needs of Tehran, this new mode of transportation can be an urban air mobility (UAM) that can be used in areas such as passenger and goods transportation. The presence of this mode of transportation in the transportation system of Tehran, in addition to improving the level of transportation of this city, helps to improve and even solve the challenges of today's transportation in Tehran, such as the high noise pollution of this city.","url":"https://doi.org/10.63053/ijset.49","authors":["Mohammad Matin Roohbakhsh Panbeh","Ali Hosseini Gelevardi"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-10-31T22:26:00Z","doi":"10.63053/ijset.49","addedAt":"2026-08-31T06:39:49.544Z","updatedAt":"2026-08-31T06:39:49.544Z"},{"id":"doi:10.1109/dasc62030.2024.10748865","name":"Flight Risk Assessment of Urban Air Mobility Vehicles and Routes Based on Battery Energy Consumption","source":"crossref","abstract":"","url":"https://doi.org/10.1109/dasc62030.2024.10748865","authors":["Yonas Ayalew","Abdul-Rauf Nuhu","Lydia Zeleke","Vahid Hemmati","Abdollah Homaifar","Edward Tunstel"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-11-15T18:44:23Z","doi":"10.1109/dasc62030.2024.10748865","addedAt":"2026-08-31T06:39:49.544Z","updatedAt":"2026-08-31T06:39:49.544Z"},{"id":"doi:10.1016/j.urbmob.2024.100095","name":"Just around the corner: Accessibility by proximity in the 15-minute city","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.urbmob.2024.100095","authors":["Benjamin Büttner","Cecília Silva","Louis Merlin","Karst Geurs"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-11-16T00:37:23Z","doi":"10.1016/j.urbmob.2024.100095","addedAt":"2026-08-31T06:39:49.544Z","updatedAt":"2026-08-31T06:39:49.544Z"},{"id":"doi:10.2514/6.2024-1527","name":"Pioneering Advanced Air Mobility","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2024-1527","authors":["Roberto Licata","Tonya Cole"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-01-29T22:03:51Z","doi":"10.2514/6.2024-1527","addedAt":"2026-08-31T06:39:49.544Z","updatedAt":"2026-08-31T06:39:49.544Z"},{"id":"doi:10.1002/iis2.13189","name":"Evaluating the Eco‐Efficiency of Urban Air Mobility: Understanding Environmental and Social Impacts for Informed Passenger Choices","source":"crossref","abstract":"Abstract Full electric aircraft with zero CO2 emissions during operations are a promising pathway towards achieving the Fly Net Zero by 2050 goal proposed by the International Air Transport Association (IATA). In this context, Urban Air Mobility (UAM) expects to offer an environmentally friendly alternative through electric Vertical Takeoff and Landing (eVTOL) aircraft. While eVTOLs produce no greenhouse gas emissions, the comprehensive eco‐efficiency of UAM goes beyond the flight phase. This paper delves into evaluating UAM operation's environmental and social impacts, considering the urban space, public perception, operational profiles, and power consumption. Employing causal loop analysis, the study uncovers the relationships that add value or increase impact, assessing UAM passenger transportation's eco‐efficiency. Moreover, the Unified Architecture Framework is used to model the UAM ecosystem and to propose strategies to balance values and impacts in achieving eco‐efficiency. By shedding light on the sustainability viewpoint, this study emphasizes the importance of holistically understanding UAM's operational impact and empowering users to make eco‐efficient choices when opting for UAM transportation. Finally, strategies to provide sustainability awareness to the user are discussed in the Mobility‐as‐a‐System (MaaS) context.","url":"https://doi.org/10.1002/iis2.13189","authors":["Raquel Hoffmann","Fabio Silva","Hidekazu Nishimura"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-09-07T11:09:46Z","doi":"10.1002/iis2.13189","addedAt":"2026-08-31T06:39:49.544Z","updatedAt":"2026-08-31T06:39:49.544Z"},{"id":"doi:10.1109/iv55156.2024.10588742","name":"Exploring Turbulence Impact on Passenger Experience in Urban Air Mobility: Insights from a Virtual Reality Study","source":"crossref","abstract":"","url":"https://doi.org/10.1109/iv55156.2024.10588742","authors":["Henrike Böck","Patricia B. Appel","Lena Maria Eisenmann","Larissa Kaiser","Andreas Riener"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-07-15T17:19:28Z","doi":"10.1109/iv55156.2024.10588742","addedAt":"2026-08-31T06:39:49.544Z","updatedAt":"2026-08-31T06:39:49.544Z"},{"id":"doi:10.1016/j.tranpol.2023.10.010","name":"Unraveling behavioral factors influencing the adoption of urban air mobility from the end user's perspective in Tehran – A developing country outlook","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.tranpol.2023.10.010","authors":["Hossein Karami","Mohammadhossein Abbasi","Mahdi Samadzad","Ali Karami"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-10-21T11:48:51Z","doi":"10.1016/j.tranpol.2023.10.010","addedAt":"2026-08-31T06:39:49.544Z","updatedAt":"2026-08-31T06:39:49.544Z"},{"id":"doi:10.23919/date58400.2024.10546549","name":"Auto-tuning Multi-GPU High-Fidelity Numerical Simulations for Urban Air Mobility","source":"crossref","abstract":"","url":"https://doi.org/10.23919/date58400.2024.10546549","authors":["Konstantina Koliogeorgi","George Anagnostopoulos","Gerardo Zampino","Marcial Sanchis","Ricardo Vinuesa","Sotirios Xydis"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-08-14T17:28:02Z","doi":"10.23919/date58400.2024.10546549","addedAt":"2026-08-31T06:39:49.544Z","updatedAt":"2026-08-31T06:39:49.544Z"},{"id":"doi:10.1016/j.trc.2023.104467","name":"Airspace Congestion, flow Relations, and 4-D fundamental Diagrams for advanced urban air mobility","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.trc.2023.104467","authors":["Christopher Cummings","Hani Mahmassani"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-12-31T11:15:26Z","doi":"10.1016/j.trc.2023.104467","addedAt":"2026-08-31T06:39:49.544Z","updatedAt":"2026-08-31T06:39:49.544Z"},{"id":"doi:10.3138/9781487553678-006","name":"3 Implications for Urban Structure and Mobility in the City","source":"crossref","abstract":"","url":"https://doi.org/10.3138/9781487553678-006","authors":["Tom Hutton"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-10-06T13:50:56Z","doi":"10.3138/9781487553678-006","addedAt":"2026-08-31T06:39:49.544Z","updatedAt":"2026-08-31T06:39:49.544Z"},{"id":"doi:10.1109/dasc66011.2025.11257216","name":"Lessons from Shared Mobility for Managing Demand Imbalance in Urban Air Mobility","source":"crossref","abstract":"","url":"https://doi.org/10.1109/dasc66011.2025.11257216","authors":["Geon Woo Kevin Lee","Sang Hyun Kim"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-12-02T18:45:18Z","doi":"10.1109/dasc66011.2025.11257216","addedAt":"2026-08-31T06:39:49.544Z","updatedAt":"2026-08-31T06:39:52.574Z"},{"id":"doi:10.1117/12.3031667","name":"Detecting clear air turbulence in urban air mobility by using LiDAR with OOFDMA and a Risley prism","source":"crossref","abstract":"","url":"https://doi.org/10.1117/12.3031667","authors":["Gunzung Kim","Jeongsook Eom","Soojung Hur","Yongwan Park"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-11-01T15:32:55Z","doi":"10.1117/12.3031667","addedAt":"2026-08-31T06:39:49.544Z","updatedAt":"2026-08-31T06:39:49.544Z"},{"id":"doi:10.2139/ssrn.5014915","name":"Understanding Covid-19's Impact on Urban Mobility","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.5014915","authors":["Daeyeol Chang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-11-11T17:13:57Z","doi":"10.2139/ssrn.5014915","addedAt":"2026-08-31T06:39:49.544Z","updatedAt":"2026-08-31T06:39:49.544Z"},{"id":"doi:10.1109/access.2024.3513212","name":"5G-Based Synchronous Network for Air Traffic Monitoring in Urban Air Mobility","source":"crossref","abstract":"","url":"https://doi.org/10.1109/access.2024.3513212","authors":["Franco Mazzenga","Romeo Giuliano","Alessandro Vizzarri"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-12-09T19:02:37Z","doi":"10.1109/access.2024.3513212","addedAt":"2026-08-31T06:39:49.544Z","updatedAt":"2026-08-31T06:39:49.544Z"},{"id":"doi:10.1177/00420980231214728","name":"Diverging mobility situations in Greater Mexico City: Exploring the factors behind the mobility situations of public transport commuters","source":"crossref","abstract":"This article investigates the factors behind the likelihood of experiencing a specific type of mobility situation. The case of commuting by public transport in Greater Mexico City is analysed. A one-way ANOVA with post-hoc procedures and three multinomial logistic regression models are used to assess the extent to which transport-, land use- or socio-economic-related variables influence the likelihood of experiencing a specific mobility situation. The results show that the mobility situations of workers are primarily influenced by the socio-economic characteristics of commuters, followed by land-use patterns and the availability of transport systems, respectively. This means that in addition to transport-related policies, reducing commuting disparities in urban regions will require policies able to reduce socio-economic inequalities and influence the urban structure.","url":"https://doi.org/10.1177/00420980231214728","authors":["David López-García"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-01-04T08:41:26Z","doi":"10.1177/00420980231214728","addedAt":"2026-08-31T06:39:49.544Z","updatedAt":"2026-08-31T06:39:49.544Z"},{"id":"doi:10.5302/j.icros.2024.24.0113","name":"Corridor Tracking Using Model Predictive Control for Urban Air Mobility","source":"crossref","abstract":"","url":"https://doi.org/10.5302/j.icros.2024.24.0113","authors":["Nakyeong Kim","Inrae Kim","Seungkeun Kim","Jinyoung Suk"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-08-11T21:58:01Z","doi":"10.5302/j.icros.2024.24.0113","addedAt":"2026-08-31T06:39:49.544Z","updatedAt":"2026-08-31T06:39:49.544Z"},{"id":"doi:10.1109/ictc62082.2024.10827421","name":"Enhanced Detection of Low-Level Wind Hazards for Urban Air Mobility Using Cycloidal Scanning LiDAR Technology with OOFDMA and Risley Prism Integration","source":"crossref","abstract":"","url":"https://doi.org/10.1109/ictc62082.2024.10827421","authors":["Gunzung Kim","Jeongsook Eom","Yongwan Park"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-01-14T19:40:10Z","doi":"10.1109/ictc62082.2024.10827421","addedAt":"2026-08-31T06:39:49.544Z","updatedAt":"2026-08-31T06:39:49.544Z"},{"id":"doi:10.3390/futuretransp4040066","name":"Fast-Time Simulations to Study the Capacity of a Traffic Network Aimed at Urban Air Mobility","source":"crossref","abstract":"This article investigates viable solutions to implement an Urban Air Mobility network in Milan, Italy, and analyzes its influence on the airspace capacity. The network comprises eight vertiports for passenger transport among two main airports in the area and the city using electric vertical take-off and landing aircraft (eVTOLs). A Fast-Time Simulation (FTS) model with the software AirTOp (Air Traffic Optimization) allowed the evaluation of the ideal capacity of the network by varying two configurations, which differ from each other in terms of the number of Final Approach and Takeoff areas (FATOs). The results show how it is possible to reach high hourly capacities (in the order of one hundred), thus allowing the use of the service for about 4% of the total passengers passing through the two airports during the reference day chosen for this study. However, the results are ideal due to the strong idealism of the system, which overlooks several factors, and they should be considered as the maximum limit that can be obtained. Despite this, the method presented in this article can also be adapted for other urban areas with high population densities. In addition, the use of a simulation tool of this type allows, in addition to a numerical analysis, a qualitative analysis of the network behavior in terms of traffic, thus highlighting the criticalities of the proposed systems.","url":"https://doi.org/10.3390/futuretransp4040066","authors":["Paola Di Mascio","Matteo Celesti","Matteo Sabatini","Laura Moretti"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-11-05T10:42:40Z","doi":"10.3390/futuretransp4040066","addedAt":"2026-08-31T06:39:49.544Z","updatedAt":"2026-08-31T06:39:49.544Z"},{"id":"doi:10.1007/978-3-031-59754-1_7","name":"Bluetooth Low Energy Positioning Technology","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-031-59754-1_7","authors":["Gennaro Ariante","Umberto Papa"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-06-15T13:01:48Z","doi":"10.1007/978-3-031-59754-1_7","addedAt":"2026-08-31T06:39:49.544Z","updatedAt":"2026-08-31T06:39:49.544Z"},{"id":"doi:10.21125/iceri.2024.2061","name":"STUDYING URBAN MOBILITY PROBLEMS AS ELEMENTS TO PROPOSE CREATIVE SOLUTIONS, THE CASE OF URBAN MOBILITY STUDENTS","source":"crossref","abstract":"","url":"https://doi.org/10.21125/iceri.2024.2061","authors":["Angel de Jesus Mc Namara Valdes"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-12-03T17:05:28Z","doi":"10.21125/iceri.2024.2061","addedAt":"2026-08-31T06:39:49.544Z","updatedAt":"2026-08-31T06:39:49.544Z"},{"id":"doi:10.1145/3681779","name":"Proceedings of the 2nd ACM SIGSPATIAL Workshop on Sustainable Urban Mobility","source":"crossref","abstract":"","url":"https://doi.org/10.1145/3681779","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-10-10T07:16:28Z","doi":"10.1145/3681779","addedAt":"2026-08-31T06:39:49.544Z","updatedAt":"2026-08-31T06:39:49.544Z"},{"id":"doi:10.5139/jksas.2024.52.3.249","name":"Runway Crossing Operation for Urban Air Mobility in Incheon International Airport","source":"crossref","abstract":"","url":"https://doi.org/10.5139/jksas.2024.52.3.249","authors":["Sang-Hyun Kim"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-03-11T22:48:40Z","doi":"10.5139/jksas.2024.52.3.249","addedAt":"2026-08-31T06:39:49.544Z","updatedAt":"2026-08-31T06:39:49.544Z"},{"id":"doi:10.1007/978-3-031-59754-1_6","name":"Simulations Tests and Results","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-031-59754-1_6","authors":["Gennaro Ariante","Umberto Papa"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-06-15T13:01:48Z","doi":"10.1007/978-3-031-59754-1_6","addedAt":"2026-08-31T06:39:49.544Z","updatedAt":"2026-08-31T06:39:49.544Z"},{"id":"doi:10.1201/9781003339953-4","name":"Deep Learning Methods for High-level Control using Object Tracking","source":"crossref","abstract":"","url":"https://doi.org/10.1201/9781003339953-4","authors":["P. Kanmani","N. Yuvaraj","S. Karthic","Preethaa K. R. Sri","Min Dugki"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-01-20T15:58:27Z","doi":"10.1201/9781003339953-4","addedAt":"2026-08-31T06:39:49.544Z","updatedAt":"2026-08-31T06:39:49.544Z"},{"id":"doi:10.2514/1.g007691","name":"Urban Air Mobility Guidance with Panel Method: Experimental Evaluation Under Wind Disturbances","source":"crossref","abstract":"In this paper, a nature-inspired guidance algorithm based on the panel method is proposed. The panel method is a numerical tool borrowed from the aerodynamics domain to calculate the potential field of a fluid flow around arbitrarily shaped objects. The proposed algorithm has little computational load and generates guidance vectors in real time that can guide multiple vehicles through smooth and collision-free paths. Panel-method-based guidance is a promising candidate for air mobility applications in urban environments where multiple aerial vehicles are expected to operate simultaneously without colliding with architectural structures and other vehicles in the airspace. In this study, the effectiveness and feasibility of the proposed guidance method is evaluated through a test campaign conducted in Toulouse, France, using multiple quadrotors in a scaled urban environment. Furthermore, the robustness of the guidance method under wind disturbances is tested in both indoor and outdoor experiments. Experimental results suggest that the panel-method-based guidance algorithm is an effective and robust tool for real-time, collision-free guidance of multiple aerial vehicles in complex urban environments.","url":"https://doi.org/10.2514/1.g007691","authors":["Zeynep Bilgin","Ilkay Yavrucuk","Murat Bronz"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-04-22T13:10:07Z","doi":"10.2514/1.g007691","addedAt":"2026-08-31T06:39:49.544Z","updatedAt":"2026-08-31T06:39:49.544Z"},{"id":"doi:10.1007/978-3-031-59754-1_3","name":"SLAD System: Introduction and Description","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-031-59754-1_3","authors":["Gennaro Ariante","Umberto Papa"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-06-15T13:01:48Z","doi":"10.1007/978-3-031-59754-1_3","addedAt":"2026-08-31T06:39:49.544Z","updatedAt":"2026-08-31T06:39:49.544Z"},{"id":"doi:10.1016/j.ijhydene.2023.09.134","name":"Fuel cell hybrid electric propulsion system for a lightweight helicopter: Design and performance analysis in urban air mobility scenario","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.ijhydene.2023.09.134","authors":["Francesco Mazzeo","Giovanni Di Ilio"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-10-03T15:02:04Z","doi":"10.1016/j.ijhydene.2023.09.134","addedAt":"2026-08-31T06:39:49.544Z","updatedAt":"2026-08-31T06:39:49.544Z"},{"id":"doi:10.1109/dasc62030.2024.10749182","name":"Urban Air Mobility Traffic Analysis Tool for Airspace Involving Vertiport Hub Operations to Examine Simulated Conflicts","source":"crossref","abstract":"","url":"https://doi.org/10.1109/dasc62030.2024.10749182","authors":["Antoni Kopyt","Kacper Kaczmarek","Mateusz Sochacki","Chad L. Stephens"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-11-15T18:44:23Z","doi":"10.1109/dasc62030.2024.10749182","addedAt":"2026-08-31T06:39:49.544Z","updatedAt":"2026-08-31T06:39:49.544Z"},{"id":"doi:10.1016/j.trb.2024.102967","name":"Risk-aware urban air mobility network design with overflow redundancy","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.trb.2024.102967","authors":["Qinshuang Wei","Zhenyu Gao","John-Paul Clarke","Ufuk Topcu"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-05-16T12:17:42Z","doi":"10.1016/j.trb.2024.102967","addedAt":"2026-08-31T06:39:49.544Z","updatedAt":"2026-08-31T06:39:49.544Z"},{"id":"doi:10.3390/en18010039","name":"Development of a Hydrogen Fuel Cell Hybrid Urban Air Mobility System Model Using a Hydrogen Metal Hydride Tank","source":"crossref","abstract":"Hydrogen fuel cell-based UAM (urban air mobility) systems are gaining significant attention due to their advantages of higher energy density and longer flight durations compared to conventional battery-based UAM systems. To further improve the flight times of current UAM systems, various hydrogen storage methods, such as liquid hydrogen and hydrogen metal hydrides, are being utilized. Among these, hydrogen metal hydrides offer the advantage of high safety, as they do not require the additional technologies needed for high-pressure gaseous hydrogen storage or the maintenance of cryogenic temperatures for liquid hydrogen. Furthermore, because of the relatively slower dynamic response of hydrogen fuel cell systems compared to batteries, they are often integrated into hybrid configurations with batteries, necessitating an efficient power management system. In this study, a UAM system was developed by integrating a hydrogen fuel cell system with hydrogen metal hydrides and batteries in a hybrid configuration. Additionally, a state machine control approach was applied to a distribution valve for the endothermic reaction required for hydrogen desorption from the hydrogen metal hydrides. This design utilized waste heat generated by the fuel cell stack to facilitate hydrogen release. Furthermore, a fuzzy logic control-based power management system was implemented to ensure efficient power distribution during flight. The results show that approximately 43% of the waste heat generated by the stack was recovered through the tank system.","url":"https://doi.org/10.3390/en18010039","authors":["Sanghyun Yun","Seok Yeon Im","Jaeyoung Han"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-12-26T21:13:18Z","doi":"10.3390/en18010039","addedAt":"2026-08-31T06:39:49.544Z","updatedAt":"2026-08-31T06:39:49.544Z"},{"id":"doi:10.1109/maes.2024.3488655","name":"Avionics of Electric Vertical Take-off and Landing in the Urban Air Mobility: A Review","source":"crossref","abstract":"","url":"https://doi.org/10.1109/maes.2024.3488655","authors":["Qiang Zhou","Fu Tan"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-10-30T13:55:46Z","doi":"10.1109/maes.2024.3488655","addedAt":"2026-08-31T06:39:50.405Z","updatedAt":"2026-08-31T06:39:57.284Z"},{"id":"doi:10.1016/j.urbmob.2024.100078","name":"A MATSim model methodology to generate cycling-focused transport scenarios in England","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.urbmob.2024.100078","authors":["David Alvarez Castro","Alistair Ford","Philip James","Roberto Palacín","Dominik Ziemke"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-06-07T05:23:11Z","doi":"10.1016/j.urbmob.2024.100078","addedAt":"2026-08-31T06:39:50.405Z","updatedAt":"2026-08-31T06:39:50.405Z"},{"id":"doi:10.1016/j.urbmob.2024.100073","name":"Is 23 minutes walking distance?: Factors determining walking time thresholds of Twitter users","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.urbmob.2024.100073","authors":["Hannah Hook"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-02-29T03:06:52Z","doi":"10.1016/j.urbmob.2024.100073","addedAt":"2026-08-31T06:39:50.405Z","updatedAt":"2026-08-31T06:39:50.405Z"},{"id":"doi:10.3138/9781487553678-007","name":"4 Urban Mobility and the Digital Economy: Capturing the Experiences of Canadian Cities","source":"crossref","abstract":"","url":"https://doi.org/10.3138/9781487553678-007","authors":["Tara Vinodrai"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-10-06T13:50:56Z","doi":"10.3138/9781487553678-007","addedAt":"2026-08-31T06:39:50.405Z","updatedAt":"2026-08-31T06:39:50.405Z"},{"id":"doi:10.2139/ssrn.4686760","name":"Mobility over Air Quality Index (MAQI)","source":"crossref","abstract":"Air quality has been observed to improve during the COVID-19 pandemic as countries executed community lockdowns that restricted mobility during the pandemic. This paper discusses the Mobility over Air Quality Index (MAQI) which aims to gauge relative changes in levels of air pollution generated by changes in population mobility. MAQI combines mobility indices produced by Google with NO2 readings obtained from Earth Observations as a metric that can be visualized over time. We discuss the development of MAQI from the recent EO Dashboard Hackathon sponsored by NASA, ESA, and JAXA, recent developments in the project, and directions for further study.","url":"https://doi.org/10.2139/ssrn.4686760","authors":["Emily Jo Vizmonte","Dominic Vincent Ligot"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-01-11T11:19:57Z","doi":"10.2139/ssrn.4686760","addedAt":"2026-08-31T06:39:50.405Z","updatedAt":"2026-08-31T06:39:50.405Z"},{"id":"doi:10.3138/9781487553678-004","name":"1 Urban Mobility: How the iPhone, COVID, and Climate Changed Everything","source":"crossref","abstract":"","url":"https://doi.org/10.3138/9781487553678-004","authors":["Shauna Brail","Betsy Donald"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-10-06T13:50:56Z","doi":"10.3138/9781487553678-004","addedAt":"2026-08-31T06:39:50.405Z","updatedAt":"2026-08-31T06:39:50.405Z"},{"id":"doi:10.1007/978-3-031-42798-5_9","name":"Artistic and Spatial Mobility in China’s Urban Villages","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-031-42798-5_9","authors":["Federica Mirra"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-01-31T06:02:40Z","doi":"10.1007/978-3-031-42798-5_9","addedAt":"2026-08-31T06:39:50.405Z","updatedAt":"2026-08-31T06:39:50.405Z"},{"id":"doi:10.1016/j.urbmob.2024.100077","name":"Walk further and access more! Exploring the 15-minute city concept in Oslo, Norway","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.urbmob.2024.100077","authors":["Mahsa Akrami","Marcin Wojciech Sliwa","Maja Karoline Rynning"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-03-27T20:46:16Z","doi":"10.1016/j.urbmob.2024.100077","addedAt":"2026-08-31T06:39:50.405Z","updatedAt":"2026-08-31T06:39:50.405Z"},{"id":"doi:10.1016/j.urbmob.2024.100088","name":"Towards full electrification of local public transport: A tool to guide strategies for implementing the electric charging network","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.urbmob.2024.100088","authors":["Brunella Caroleo","Paolo Lazzeroni","Maurizio Arnone"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-10-05T20:31:33Z","doi":"10.1016/j.urbmob.2024.100088","addedAt":"2026-08-31T06:39:50.405Z","updatedAt":"2026-08-31T06:39:50.405Z"},{"id":"doi:10.2514/6.2024-3558","name":"Passenger Aggregation Network With Very Efficient Listing (PANVEL) Ridesharing Model for Urban Air Mobility","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2024-3558","authors":["Somrick Das Biswas","Adler Edsel","Rishikesh Gadre","Michael Kilbourne","Spruha J. Vashi","Kshitij Mall","Daniel A. DeLaurentis","William Crossley","Michael D. Patterson"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-09-20T08:30:37Z","doi":"10.2514/6.2024-3558","addedAt":"2026-08-31T06:39:50.405Z","updatedAt":"2026-08-31T06:39:50.405Z"},{"id":"doi:10.1016/j.urbmob.2023.100070","name":"On the 'impertinence of impermanence' and three other critiques: Reflections on the relationship between experimentation and lasting – or significant? – change","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.urbmob.2023.100070","authors":["Kim Carlotta von Schönfeld"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-12-19T01:46:47Z","doi":"10.1016/j.urbmob.2023.100070","addedAt":"2026-08-31T06:39:50.405Z","updatedAt":"2026-08-31T06:39:50.405Z"},{"id":"doi:10.3390/su17115054","name":"Efficient Urban Air Mobility Vertiport Operational Plans Considering On-Ground Traffic Environment","source":"crossref","abstract":"Urban Air Mobility (UAM) has high potential as an ecofriendly transportation mode that can alleviate traffic congestion on the ground and reduce travel times by utilizing three-dimensional airspace. However, efficient vertiport operational plans are needed for UAM to become an accessible transportation mode for the public. In this study, the numerical analysis program MATLAB (R2023a) and the traffic simulation software VISSIM (PTV VISSIM 2024) were used to model vertiport operations and analyze the on-ground traffic environment, including vertiport capacity and UAM aircraft delays. Additionally, on-time performance was considered by applying uncertainties to the intervals between consecutive generations and the turnaround time to simulate situations where UAM aircraft cannot adhere to their scheduled arrival and departure times. Operational scenarios were developed by varying the interval time between UAM aircraft generated in the simulation (3–10 min) in two cases: (1) without considering the on-time performance and (2) considering the on-time performance. This study aimed to maximize vertiport capacity and minimize UAM aircraft delay times. In addition, the reduction of delay times and improvement of turnaround efficiency directly contribute to sustainable urban airspace management by lowering ground energy use and environmental impact. In Case 1, the vertiport was most efficient at an interval time of 7 min. In Case 2, capacity was maximized at an interval time of 6–7 min while delay times were minimized at an interval time of 8–10 min. The simulation results provide valuable insights for developing not only efficient but also environmentally responsible vertiport operational plans, contributing to the successful and sustainable implementation and scalability of UAM systems.","url":"https://doi.org/10.3390/su17115054","authors":["Jaekyun Lee","Uwon Huh","Peng Wei","Kyowon Song"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-06-02T10:21:49Z","doi":"10.3390/su17115054","addedAt":"2026-08-31T06:39:50.405Z","updatedAt":"2026-08-31T06:39:54.185Z"},{"id":"doi:10.3390/drones8090507","name":"Performance Analysis and Conceptual Design of Lightweight UAV for Urban Air Mobility","source":"crossref","abstract":"In the present study, a performance analysis of three different VTOL configurations is presented within an urban air mobility context. A classical lightweight helicopter was employed as a reference configuration to design a dual-rotor side-by-side helicopter and a hexacopter drone layout. An analytical model based on general momentum and blade element theories was developed for single- and multiple-rotor configurations in horizontal and vertical flight conditions. Suitable battery pack and electric motor designs were produced to evaluate the endurance and range of the different configurations for a specific mission. This paper provides fundamental insights into the endurance and range capabilities of multiple-rotor unmanned aerial vehicles (UAVs) and a qualitative discussion on the safety and acceptability features of each configuration implemented in an advanced air mobility context. As a result, the side-by-side helicopter configuration was identified as the best solution to be introduced within urban environments, fulfilling all the performance and mission requirements.","url":"https://doi.org/10.3390/drones8090507","authors":["Francesco Mazzeo","Emanuele L. de Angelis","Fabrizio Giulietti","Alessandro Talamelli","Francesco Leali"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-09-20T02:47:07Z","doi":"10.3390/drones8090507","addedAt":"2026-08-31T06:39:50.405Z","updatedAt":"2026-08-31T06:39:50.405Z"},{"id":"doi:10.1007/978-3-031-62248-9_22","name":"Sustainable Mobility in the Urban and Metropolitan Areas of Mediterranean","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-031-62248-9_22","authors":["Giuseppe Mazzeo"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-08-09T15:03:00Z","doi":"10.1007/978-3-031-62248-9_22","addedAt":"2026-08-31T06:39:50.405Z","updatedAt":"2026-08-31T06:39:50.405Z"},{"id":"doi:10.1016/j.jairtraman.2024.102569","name":"Bibliometric analysis on advanced air mobility and drones","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.jairtraman.2024.102569","authors":["Clinton Purtell","Seock-Jin Hong","Brian Hiatt"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-03-05T01:22:26Z","doi":"10.1016/j.jairtraman.2024.102569","addedAt":"2026-08-31T06:39:50.405Z","updatedAt":"2026-08-31T06:39:50.405Z"},{"id":"doi:10.3390/urbansci8040218","name":"Urban Aviation: The Future Aerospace Transportation System for Intercity and Intracity Mobility","source":"crossref","abstract":"This review discusses the challenges of integrating emerging transportation technologies into existing urban environments, considering their impact on equity, sustainability, and urban design. The aim is to provide readers with strategic insights and policy recommendations for incorporating aerospace innovations into transportation systems. This narrative review draws on a wide range of publications, including books, journal articles, and industry reports, to examine the multifaceted aspects of urban aviation. The review explores the scales of aerospace transport, detailing the technologies enabling urban aviation, the necessary urban adaptations to support such a system, and the social and regulatory challenges of integrating urban air mobility into existing transportation networks. The research suggests that for urban air mobility to be successfully integrated into existing transportation systems, further research is needed on the social and regulatory implications, particularly regarding equitable access, sustainable practices, and community engagement.","url":"https://doi.org/10.3390/urbansci8040218","authors":["Graham Wild"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-11-18T07:45:27Z","doi":"10.3390/urbansci8040218","addedAt":"2026-08-31T06:39:50.405Z","updatedAt":"2026-08-31T06:39:50.405Z"},{"id":"doi:10.1016/j.urbmob.2024.100086","name":"Co-designing urban mobility solutions in a socio-technical transition context: Guidelines for participative service design","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.urbmob.2024.100086","authors":["Sérgio Pedro Duarte","Jorge Pinho de Sousa","Jorge Freire de Sousa"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-08-08T18:17:04Z","doi":"10.1016/j.urbmob.2024.100086","addedAt":"2026-08-31T06:39:50.405Z","updatedAt":"2026-08-31T06:39:50.405Z"},{"id":"doi:10.3138/9781487553678-014","name":"11 Integrated Mobility and the Governance of Urban Transit","source":"crossref","abstract":"","url":"https://doi.org/10.3138/9781487553678-014","authors":["Elena Gorachinova","Lisa Huh","David A. Wolfe"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-10-06T13:50:56Z","doi":"10.3138/9781487553678-014","addedAt":"2026-08-31T06:39:50.405Z","updatedAt":"2026-08-31T06:39:50.405Z"},{"id":"doi:10.1016/j.urbmob.2024.100084","name":"Could the next generation of bike-sharing with autonomous bikes be financially sustainable?","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.urbmob.2024.100084","authors":["Imen Haj Salah","Vasu Dev Mukku","Malte Kania","Tom Assmann","Hartmut Zadek"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-08-14T20:48:24Z","doi":"10.1016/j.urbmob.2024.100084","addedAt":"2026-08-31T06:39:50.405Z","updatedAt":"2026-08-31T06:39:50.405Z"},{"id":"doi:10.46246/kjasem.240003","name":"A Study on the Operation Environment for the Commercialization of Urban Air Mobility","source":"crossref","abstract":"","url":"https://doi.org/10.46246/kjasem.240003","authors":["Sung-Yeob Kim","Hyeon-Deok Kim"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-06-26T03:14:51Z","doi":"10.46246/kjasem.240003","addedAt":"2026-08-31T06:39:50.405Z","updatedAt":"2026-08-31T06:39:50.405Z"},{"id":"doi:10.4324/9781003288312-31","name":"Scaling laws in human mobility\n                           1","source":"crossref","abstract":"","url":"https://doi.org/10.4324/9781003288312-31","authors":["Tao Zhou"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-10-02T21:08:12Z","doi":"10.4324/9781003288312-31","addedAt":"2026-08-31T06:39:50.405Z","updatedAt":"2026-08-31T06:39:50.405Z"},{"id":"doi:10.1002/9781394256204","name":"Urban Mobility Systems in the World","source":"crossref","abstract":"","url":"https://doi.org/10.1002/9781394256204","authors":["Gaële Lesteven"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-12-08T16:22:55Z","doi":"10.1002/9781394256204","addedAt":"2026-08-31T06:39:50.405Z","updatedAt":"2026-08-31T06:39:50.405Z"},{"id":"doi:10.1080/21650020.2024.2420735","name":"Mobility attitudes and urban form: shaping public transport and shared mobility choices in Dubai and Lahore","source":"crossref","abstract":"","url":"https://doi.org/10.1080/21650020.2024.2420735","authors":["Abdul Ghaffar Chaudhry","Houshmand Masoumi","Hans-Liudger Dienel","Atif Bilal Aslam","Muhammad Ahmad","Mariam Shahnaz"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-11-11T01:28:37Z","doi":"10.1080/21650020.2024.2420735","addedAt":"2026-08-31T06:39:50.405Z","updatedAt":"2026-08-31T06:39:50.405Z"},{"id":"doi:10.1145/3603194","name":"Stochastic-skill-level-based Shared Control for Human Training in Urban Air Mobility Scenario","source":"crossref","abstract":"This article proposes a novel stochastic-skill-level-based shared control framework to assist human novices to emulate human experts in complex dynamic control tasks. The proposed framework aims to infer stochastic-skill-levels (SSLs) of the human novices and provide personalized assistance based on the inferred SSLs. SSL can be assessed as a stochastic variable that denotes the probability that the novice will behave similarly to experts. We propose a data-driven method that can characterize novice demonstrations as a novice model and expert demonstrations as an expert model, respectively. Then, our SSL inference approach utilizes the novice and expert models to assess the SSL of the novices in complex dynamic control tasks. The shared control scheme is designed to dynamically adjust the level of assistance based on the inferred SSL to prevent frustration or tedium during human training due to poorly imposed assistance. The proposed framework is demonstrated by a human subject experiment in a human training scenario for a remotely piloted urban air mobility vehicle. The results show that the proposed framework can assess the SSL and tailor the assistance for an individual in real time. The proposed framework is compared to practice-only training (no assistance) and a baseline shared control approach to test the human learning rates in the designed training scenario with human subjects. A subjective survey is also examined to monitor the user experience of the proposed framework.","url":"https://doi.org/10.1145/3603194","authors":["Sooyung Byeon","Joonwon Choi","Yutong Zhang","Inseok Hwang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-06-06T19:00:47Z","doi":"10.1145/3603194","addedAt":"2026-08-31T06:39:50.405Z","updatedAt":"2026-08-31T06:39:50.405Z"},{"id":"doi:10.33097/jncta.2024.08.11.2465","name":"A Case Study on the Development Plan of Urban Air Mobility(UAM) Simulator","source":"crossref","abstract":"","url":"https://doi.org/10.33097/jncta.2024.08.11.2465","authors":["Chang-Duk Kim"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-12-03T02:45:22Z","doi":"10.33097/jncta.2024.08.11.2465","addedAt":"2026-08-31T06:39:50.406Z","updatedAt":"2026-08-31T06:39:50.406Z"},{"id":"doi:10.1016/j.ufug.2024.128557","name":"Equity, travel, and park visitation in 10 US metro areas: A smartphone mobility study","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.ufug.2024.128557","authors":["Angela Rout","Lorien Nesbitt"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-10-23T15:59:28Z","doi":"10.1016/j.ufug.2024.128557","addedAt":"2026-08-31T06:39:50.406Z","updatedAt":"2026-08-31T06:39:50.406Z"},{"id":"doi:10.1007/978-3-031-52235-2_6","name":"Smart Mobility and Geodesign in Urban Life","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-031-52235-2_6","authors":["Michelle Specktor"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-05-10T09:01:44Z","doi":"10.1007/978-3-031-52235-2_6","addedAt":"2026-08-31T06:39:50.406Z","updatedAt":"2026-08-31T06:39:50.406Z"},{"id":"doi:10.1016/j.tra.2024.104122","name":"Ready for take-off? The dual role of affective and cognitive evaluations in the adoption of Urban Air Mobility services","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.tra.2024.104122","authors":["Frederica Janotta","Jens Hogreve"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-05-31T05:12:50Z","doi":"10.1016/j.tra.2024.104122","addedAt":"2026-08-31T06:39:50.406Z","updatedAt":"2026-08-31T06:39:50.406Z"},{"id":"doi:10.1109/dasc62030.2024.10748950","name":"Robust Hybrid Navigation Unit for Urban Air Mobility Scenarios","source":"crossref","abstract":"","url":"https://doi.org/10.1109/dasc62030.2024.10748950","authors":["Gianluca Corraro","Giovanni Cuciniello","Luca Garbarino","Umberto Ciniglio","Federico Corraro","Andrea Flora","Roberto Senatore","Andrea Pizzarulli"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-11-15T18:44:23Z","doi":"10.1109/dasc62030.2024.10748950","addedAt":"2026-08-31T06:39:50.406Z","updatedAt":"2026-08-31T06:39:50.406Z"},{"id":"doi:10.1016/j.jclepro.2024.142988","name":"Strategic integration of vertiport planning in multimodal transportation for urban air mobility: A case study in Beijing, China","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.jclepro.2024.142988","authors":["Ying Zhao","Tao Feng"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-06-24T20:02:41Z","doi":"10.1016/j.jclepro.2024.142988","addedAt":"2026-08-31T06:39:50.406Z","updatedAt":"2026-08-31T06:39:50.406Z"},{"id":"doi:10.1007/978-3-031-59754-1_2","name":"Unmanned Aircraft System: State of the Art","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-031-59754-1_2","authors":["Gennaro Ariante","Umberto Papa"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-06-15T13:01:48Z","doi":"10.1007/978-3-031-59754-1_2","addedAt":"2026-08-31T06:39:50.406Z","updatedAt":"2026-08-31T06:39:50.406Z"},{"id":"doi:10.1007/978-3-031-61415-6_6","name":"Analysis of the Urban Air Mobility for the Unmanned Aerial Vehicle","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-031-61415-6_6","authors":["Maksym Yena","Andriy Bykov","Oleksandr Karatanov"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-06-04T19:14:59Z","doi":"10.1007/978-3-031-61415-6_6","addedAt":"2026-08-31T06:39:50.406Z","updatedAt":"2026-08-31T06:39:50.406Z"},{"id":"doi:10.1016/j.tra.2024.104059","name":"Integrated optimisation of strategic planning and service operations for urban air mobility systems","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.tra.2024.104059","authors":["Zhongyi Jin","Kam K.H. Ng","Chenliang Zhang","Lingxiao Wu","Ang Li"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-03-27T06:24:40Z","doi":"10.1016/j.tra.2024.104059","addedAt":"2026-08-31T06:39:50.406Z","updatedAt":"2026-08-31T06:39:50.406Z"},{"id":"doi:10.1007/978-3-031-59754-1_4","name":"Experimental Data Collection and Applied Methodologies","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-031-59754-1_4","authors":["Gennaro Ariante","Umberto Papa"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-06-15T13:01:48Z","doi":"10.1007/978-3-031-59754-1_4","addedAt":"2026-08-31T06:39:50.406Z","updatedAt":"2026-08-31T06:39:50.406Z"},{"id":"doi:10.3390/aerospace11030244","name":"Rotor Performance Predictions for Urban Air Mobility: Single vs. Coaxial Rigid Rotors","source":"crossref","abstract":"This work details the development and validation of a methodology for high-resolution rotor models used in hybrid Blade Element Momentum Theory Unsteady Reynolds Averaged Navier–Stokes (BEMT-URANS) CFD. The methodology is shown to accurately predict single and coaxial rotor performance in a fraction of the time required by conventional CFD methods. The methodology has three key features: (1) a high-resolution BEMT rotor model enabling large reductions in grid size, (2) a discretized set of momentum sources to interface between the BEMT rotor model and the structured URANS flow solver, and (3) leveraging of the first two features to enable highly parallelized GPU-accelerated multirotor CFD simulations. The hybrid approach retains high-fidelity rotor inflow, wake propagation, and rotor–rotor interactional effects at a several orders of magnitude lower computational cost compared to conventional blade-resolved CFD while retaining high accuracy on steady rotor performance metrics. Rotor performance predictions of thrust and torque for both single and coaxial rotor configurations are compared to test the data that the authors obtained at the NASA Langley 14- by 22-ft. Subsonic Tunnel Facility. Simulations were run with both fully turbulent and free-transition airfoil performance tables to quantify the associated uncertainty. Single rotor thrust and torque were predicted on average within 4%. Coaxial thrust and power were predicted within an average of 5%. A vortex ring state (VRS) shielding phenomenon for coaxial rotor systems is also presented and discussed. The results support that this hybrid BEMT-URANS CFD methodology can be highly parallelized on GPU machines to obtain accurate rotor performance predictions across the full spectrum of possible UAM flight conditions in a fraction of the time required by conventional higher-fidelity methods. This strategy can be used to rapidly create look-up tables with hundreds to thousands of flight conditions using a three-dimensional multirotor CFD for UAM.","url":"https://doi.org/10.3390/aerospace11030244","authors":["Jason Cornelius","Sven Schmitz","Jose Palacios","Bernadine Juliano","Richard Heisler"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-03-20T10:44:33Z","doi":"10.3390/aerospace11030244","addedAt":"2026-08-31T06:39:50.410Z","updatedAt":"2026-08-31T06:39:50.410Z"},{"id":"doi:10.1007/s13272-024-00738-6","name":"Toward robust and efficient communications for urban air mobility","source":"crossref","abstract":"Abstract For the realization of the future urban air mobility, reliable information exchange based on robust and efficient communication between all airspace participants will be one of the key factors to ensure safe operations. Especially in dense urban scenarios, the direct and fast information exchange between drones based on drone-to-drone communications is a promising technology for enabling reliable collision avoidance systems. However, to mitigate collisions and to increase overall reliability, unmanned aircraft still lack a redundant, higher-level safety net to coordinate and monitor traffic, as is common in today’s civil aviation. In addition, direct and fast information exchange based on ad hoc communication is needed to cope with the very short reaction times required to avoid collisions and to cope with the high traffic densities. Therefore, we are developing a D2D communication and surveillance system, called DroneCAST, which is specifically tailored to the requirements of a future urban airspace and will be part of a multi-link approach. In this work, we discuss challenges and expected safety-critical applications that will have to rely on communications for UAM and present our communication concept and necessary steps toward DroneCAST. As a first step toward an implementation, we equipped two drones with hardware prototypes of the experimental communication system and performed several flights around the model city to evaluate the performance of the hardware and to demonstrate different applications that will rely on robust and efficient communications.","url":"https://doi.org/10.1007/s13272-024-00738-6","authors":["Dennis Becker","Lukas Marcel Schalk"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-04-17T03:03:16Z","doi":"10.1007/s13272-024-00738-6","addedAt":"2026-08-31T06:39:50.411Z","updatedAt":"2026-08-31T06:39:54.185Z"},{"id":"doi:10.3390/vehicles6030066","name":"Urban Air Mobility for Last-Mile Transportation: A Review","source":"crossref","abstract":"Urban air mobility (UAM) is a revolutionary approach to transportation in densely populated cities. UAM involves using small, highly automated aircraft to transport passengers and goods at lower altitudes within urban and suburban areas, aiming to transform how people and parcels move within these environments. On average, UAM can reduce travel times by 30% to 40% for point-to-point journeys, with even greater reductions of 40% to 50% in major cities in the United States and China, compared to land transport. UAM includes advanced airborne transportation options like electric vertical takeoff and landing (eVTOL) aircraft and unmanned aerial vehicles (UAVs or drones). These technologies offer the potential to ease traffic congestion, decrease greenhouse gas emissions, and substantially cut travel times in urban areas. Studying the applications of eVTOLs and UAVs in parcel delivery and passenger transportation poses intricate challenges when examined through the lens of operations research (OR). By OR approaches, we mean mathematical programming, models, and solution methods addressing eVTOL- and UAV-aided parcel/people transportation problems. Despite the academic and practical importance, there is no review paper on eVTOL- and UAV-based optimization problems in the UAM sector. The present paper, applying a systematic literature review, develops a classification scheme for these problems, dividing them into routing and scheduling of eVTOLs and UAVs, infrastructure planning, safety and security, and the trade-off between efficiency and sustainability. The OR methodologies and the characteristics of the solution methods proposed for each problem are discussed. Finally, the study gaps and future research directions are presented alongside the concluding remarks.","url":"https://doi.org/10.3390/vehicles6030066","authors":["Nima Moradi","Chun Wang","Fereshteh Mafakheri"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-08-14T06:23:05Z","doi":"10.3390/vehicles6030066","addedAt":"2026-08-31T06:39:50.411Z","updatedAt":"2026-08-31T06:39:57.284Z"},{"id":"doi:10.1007/978-3-031-66271-3_15","name":"A Systematic Literature Review of the Urban Air Mobility Systems that Are Revolutionizing the Urban Transport","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-031-66271-3_15","authors":["Carlos Pérez Carrera","Ömer Ekim Genel","Maria Curcio","Carmine Maria Pappalardo","Domenico Guida"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-07-27T19:01:29Z","doi":"10.1007/978-3-031-66271-3_15","addedAt":"2026-08-31T06:39:50.411Z","updatedAt":"2026-08-31T06:39:57.841Z"},{"id":"doi:10.1007/978-3-031-60924-4_26","name":"A Robust Two-Stage Model for the Urban Air Mobility Flight Scheduling Problem","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-031-60924-4_26","authors":["Tom Portoleau","Claudia D’Ambrosio"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-05-22T03:38:27Z","doi":"10.1007/978-3-031-60924-4_26","addedAt":"2026-08-31T06:39:50.411Z","updatedAt":"2026-08-31T06:39:50.411Z"},{"id":"doi:10.18502/japh.v9i1.15078","name":"Analysis of in-vehicle air quality and load factor as environmental and social dimensions of sustainable urban mobility: A case study from Kathmandu valley, Nepal","source":"crossref","abstract":"Introduction: Assessing in-vehicle air pollution and load factor is crucial in developing countries like Nepal within the environmental and social aspects of sustainable urban mobility. Materials and methods: In this study in-vehicle air quality of public vehicles in Kathmandu valley was monitored for three road sections based on vehicle density i.e. Ring Road Section (RRS), Urban Commercial Route 1 (UCR1), and Urban Commercial Route 2 (UCR2) using Air Visual Pro N1 Model for which validationand was done with reference Particulate Matter (PM) values obtained from the GRIMM EDM 180 analyzer. The quantitative count method was used to sample passenger load. Particulate Matter (PM1, PM2.5, PM10) were monitored along with indoor-outdoor ratio for PM2.5 to know therelationship between indoor and outdoor air quality Results: A higher positive correlation between PM 2.5 and PM10 showed common sources of pollution such as road dust, and vehicle exhaust and a ratio study between them showed the dominance of coarser particles in both ambient and in-vehicle environments. RRS recorded the highest PM10 and PM2.5 exposure, possibly due to the inadequate road conditions from Kalanki to Gongabu and loose sediment deposition from roadside activities. A significant difference is observed for peak and non-peak hours due to the difference in mobility of vehicles on two different hours. Higher load factors on UCR1 and UCR2 showed the higher transportation demand on urban commercial sections for both weekdays and weekends in comparison to RRS. Conclusion: Both in-vehicle air quality and load factor for sections under study were not satisfactory and cannot be counted under sustainable urban mobility practices.","url":"https://doi.org/10.18502/japh.v9i1.15078","authors":["Pooja Bhusal","Suman Man Shrestha","Narayan Babu Dhital","Gauri Shankar Bhandari","Bhupendra Das","Rishav Pandit"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-03-10T05:44:26Z","doi":"10.18502/japh.v9i1.15078","addedAt":"2026-08-31T06:39:50.411Z","updatedAt":"2026-08-31T06:39:50.411Z"},{"id":"doi:10.4050/sm-2024-tvf-5088","name":"Evaluating Impact Damage in Urban Air Mobility Using Acoustic Emission Sensing and a Probability-Based Classification Method","source":"crossref","abstract":"The integrity and reliability of composite components for Urban Air Mobility is critical to operational safety and performance. A significant challenge to maintaining this integrity comes from airborne particulate impacts, which can lead to unforeseen damage and degradation. This paper introduces a novel in-flight impact assessment methodology employing acoustic emission sensing technology. The focus of the approach is to evaluate the extent of impact damage on a given composite component by scrutinizing the AE signals generated under in-flight stress conditions. A sophisticated algorithm is proposed to estimate the probability that the damage sustained by a component belongs to different damage classes. A series of composite panels were fabricated and subjected to impact as well as compression after impact testing. The AE signals collected during testing provided a preliminary validation for the method proposed in this paper, demonstrating its potential feasibility in assessing impact damage.","url":"https://doi.org/10.4050/sm-2024-tvf-5088","authors":["Li Ai","Sydney Houck","Joshua Widawsky","Bryson Henderson","Tanner Mesaric","Sydney Flowers","Paul Ziehl"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-06-08T22:48:19Z","doi":"10.4050/sm-2024-tvf-5088","addedAt":"2026-08-31T06:39:50.411Z","updatedAt":"2026-08-31T06:39:50.411Z"},{"id":"doi:10.1007/978-3-031-62478-0_21","name":"May Mobility-as-a-Service Lead to More Sustainable Urban Patterns? Examining Spatial Regenerative Potential of Mobility Integration Through MaaS Hub Implementation","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-031-62478-0_21","authors":["Valentina Costa","Daniele Soraggi"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-09-18T13:13:42Z","doi":"10.1007/978-3-031-62478-0_21","addedAt":"2026-08-31T06:39:50.411Z","updatedAt":"2026-08-31T06:39:50.411Z"},{"id":"doi:10.1002/9781394256204.ch2","name":"Unevenly Distributed Mobility, Spotlight on Brazil","source":"crossref","abstract":"","url":"https://doi.org/10.1002/9781394256204.ch2","authors":["Benjamin MOTTE‐BAUMVOL"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-12-08T21:22:55Z","doi":"10.1002/9781394256204.ch2","addedAt":"2026-08-31T06:39:50.411Z","updatedAt":"2026-08-31T06:39:50.411Z"},{"id":"doi:10.4337/9781803926742.00022","name":"Innovative urban mobility solutions in tourist destinations","source":"crossref","abstract":"","url":"https://doi.org/10.4337/9781803926742.00022","authors":["Ioanna Pagoni","Andreas Papatheodorou"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-01-22T13:00:17Z","doi":"10.4337/9781803926742.00022","addedAt":"2026-08-31T06:39:50.411Z","updatedAt":"2026-08-31T06:39:50.411Z"},{"id":"doi:10.1109/lsens.2024.3387329","name":"Aeroacoustics and Vibration Analysis of Multirotor eVTOL for Sustainable Urban Air Mobility (UAM)","source":"crossref","abstract":"","url":"https://doi.org/10.1109/lsens.2024.3387329","authors":["Sanju Kumar NT","Prasanth Kumar Duba","Naga Praveen Babu Mannam","Venkat S. Mutnuri","P. Rajalakshmi"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-04-10T18:30:50Z","doi":"10.1109/lsens.2024.3387329","addedAt":"2026-08-31T06:39:50.411Z","updatedAt":"2026-08-31T06:39:50.411Z"},{"id":"doi:10.31219/osf.io/w87yb","name":"How Changes In Urban Mobility Affect Experienced Urban Diversity: Case Study For Scenarios In Wellington","source":"crossref","abstract":"In a previous article, we studied how a newly planned light rail in Tel Aviv may affect experienced urban diversity. Our method involved computing isochrones before and after the completion of the light rail, and, based on isochrones and urban data, estimating how the introduction of the light rail was expected to change how people experienced urban diversity. Technically, the estimation process was performed through diversity computations and data processing with Neural Networks. As part of the present conference contribution, we shift the focus to Wellington, NZ. We study and compare multiple initiatives to increase urban mobility in Wellington, estimating how each of them may impact the urban diversity that can be experienced in the city. We compare in particular the light rail project abandoned in late 2023 with options to increase mobility through bike lanes. We also envision a system of autonomous vehicles to perform share rides and compare its effects with those of the other two options. While the options that we discuss remain hypothetical, they allow us to open a discussion on how changes in urban mobility effectuated through enhancement of different modes of transportation that work at different speeds may affect urban diversity, specifically in Wellington.","url":"https://doi.org/10.31219/osf.io/w87yb","authors":["Dan Costa Baciu"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-06-17T01:56:08Z","doi":"10.31219/osf.io/w87yb","addedAt":"2026-08-31T06:39:50.411Z","updatedAt":"2026-08-31T06:39:50.411Z"},{"id":"doi:10.1016/j.urbmob.2024.100075","name":"Towards just transitions in cities of the Global South: Civil society and street experiments against the carmageddon in Metro Manila, Philippines","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.urbmob.2024.100075","authors":["Gina R Gatarin","Aireen Grace T Andal"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-04-11T03:15:12Z","doi":"10.1016/j.urbmob.2024.100075","addedAt":"2026-08-31T06:39:50.411Z","updatedAt":"2026-08-31T06:39:50.411Z"},{"id":"doi:10.1186/s12544-024-00658-w","name":"Assessing automated air-taxis for urban mobility","source":"crossref","abstract":"Abstract This paper explores the feasibility and potential implications of automated air-taxis as a new mode of urban transport. By applying flight simulation and operations research, we investigate different questions regarding travel time, travel costs, and transport sustainability. As practical application, we consider the transportation service between the city and the airport, as well as on-demand air-taxi services within the city of Vienna. We compare the air-taxis with gasoline taxis and e-taxis, as they serve analogous transportation needs and cater to a similar clientele. In our effort to assess the feasibility of air-taxis, we aim to answer crucial questions that will influence the future of urban transportation. Our study examines how efficient air-taxis are in reducing travel time and explores their cost dynamics, addressing the affordability for passengers and their value of travel time savings. Additionally, we investigate their environmental impact by looking into energy consumption and CO 2 emissions. Through a rigorous analysis of empirical data and simulation outcomes, we aim to provide a comprehensive perspective that informs policy decisions and guides the evolution of urban transportation networks in the years to come.","url":"https://doi.org/10.1186/s12544-024-00658-w","authors":["Bin Hu","Georg Brandstätter","Johannes Müller","Patrick Stern","Alexander Schaffenberger","Arno Fallast","Samuel Lesak","Dieter Meinhard"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-06-27T03:40:46Z","doi":"10.1186/s12544-024-00658-w","addedAt":"2026-08-31T06:39:50.411Z","updatedAt":"2026-08-31T06:39:57.284Z"},{"id":"doi:10.1201/9781003339953-6","name":"Reinforcement Learning for Automated Electric Vertical Takeoff and Landing Decision Making of Drone Taxi","source":"crossref","abstract":"","url":"https://doi.org/10.1201/9781003339953-6","authors":["M. Shyamala Devi","R. Aruna","N. Yuvaraj","K. R. Sri Preethaa"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-01-20T15:58:27Z","doi":"10.1201/9781003339953-6","addedAt":"2026-08-31T06:39:50.411Z","updatedAt":"2026-08-31T06:39:50.411Z"},{"id":"doi:10.1117/12.3031656","name":"Light detection and ranging sensors for urban air mobility with OOFDMA","source":"crossref","abstract":"","url":"https://doi.org/10.1117/12.3031656","authors":["Jeongsook Eom","Gunzung Kim","Soojung Hur","Yongwan Park"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-11-01T15:33:00Z","doi":"10.1117/12.3031656","addedAt":"2026-08-31T06:39:50.411Z","updatedAt":"2026-08-31T06:39:50.411Z"},{"id":"doi:10.18356/9789211068771c003","name":"Proposed action plan for sustainable urban mobility 2024-2025","source":"crossref","abstract":"","url":"https://doi.org/10.18356/9789211068771c003","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-11-05T07:04:31Z","doi":"10.18356/9789211068771c003","addedAt":"2026-08-31T06:39:50.411Z","updatedAt":"2026-08-31T06:39:52.574Z"},{"id":"doi:10.18485/arh_pt.2024.8.ch61","name":"Urban Air Mobility Development in Western Balkan (WB6) Regional Partners","source":"crossref","abstract":"","url":"https://doi.org/10.18485/arh_pt.2024.8.ch61","authors":["Olja Čokorilo","Anja Stamenić","Lidija Tomić"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-04-29T15:17:59Z","doi":"10.18485/arh_pt.2024.8.ch61","addedAt":"2026-08-31T06:39:50.411Z","updatedAt":"2026-08-31T06:39:50.411Z"},{"id":"doi:10.1016/j.ufug.2024.128464","name":"Urban greenway planning: Identifying optimal locations for active travel corridors through individual mobility assessment","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.ufug.2024.128464","authors":["Elia Vatanparast","Shaban Shataee Joibari","Abdolrassoul Salmanmahiny","Rieke Hansen"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-07-26T22:22:43Z","doi":"10.1016/j.ufug.2024.128464","addedAt":"2026-08-31T06:39:50.411Z","updatedAt":"2026-08-31T06:39:50.411Z"},{"id":"doi:10.1121/2.0001990","name":"Individual response trends to Urban Air Mobility vehicle noise in a laboratory study","source":"crossref","abstract":"","url":"https://doi.org/10.1121/2.0001990","authors":["Aaron B. Vaughn","Andrew W. Christian"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-01-02T18:00:12Z","doi":"10.1121/2.0001990","addedAt":"2026-08-31T06:39:50.411Z","updatedAt":"2026-08-31T06:39:50.411Z"},{"id":"doi:10.3390/books978-3-7258-2502-8","name":"Vehicular Sensing for Improved Urban Mobility","source":"crossref","abstract":"","url":"https://doi.org/10.3390/books978-3-7258-2502-8","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-12-12T04:50:27Z","doi":"10.3390/books978-3-7258-2502-8","addedAt":"2026-08-31T06:39:50.411Z","updatedAt":"2026-08-31T06:39:50.411Z"},{"id":"doi:10.1002/9781394256204.fmatter","name":"Front Matter","source":"crossref","abstract":"","url":"https://doi.org/10.1002/9781394256204.fmatter","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-12-08T21:22:55Z","doi":"10.1002/9781394256204.fmatter","addedAt":"2026-08-31T06:39:50.411Z","updatedAt":"2026-08-31T06:39:50.411Z"},{"id":"doi:10.3390/aerospace11010099","name":"Real-Time On-the-Fly Motion Planning for Urban Air Mobility via Updating Tree Data of Sampling-Based Algorithms Using Neural Network Inference","source":"crossref","abstract":"In this study, we consider the problem of motion planning for urban air mobility applications to generate a minimal snap trajectory and trajectory that cost minimal time to reach a goal location in the presence of dynamic geo-fences and uncertainties in the urban airspace. We have developed two separate approaches for this problem because designing an algorithm individually for each objective yields better performance. The first approach that we propose is a decoupled method that includes designing a policy network based on a recurrent neural network for a reinforcement learning algorithm, and then combining an online trajectory generation algorithm to obtain the minimal snap trajectory for the vehicle. Additionally, in the second approach, we propose a coupled method using a generative adversarial imitation learning algorithm for training a recurrent-neural-network-based policy network and generating the time-optimized trajectory. The simulation results show that our approaches have a short computation time when compared to other algorithms with similar performance while guaranteeing sufficient exploration of the environment. In urban air mobility operations, our approaches are able to provide real-time on-the-fly motion re-planning for vehicles, and the re-planned trajectories maintain continuity for the executed trajectory. To the best of our knowledge, we propose one of the first approaches enabling one to perform an on-the-fly update of the final landing position and to optimize the path and trajectory in real-time while keeping explorations in the environment.","url":"https://doi.org/10.3390/aerospace11010099","authors":["Junlin Lou","Burak Yuksek","Gokhan Inalhan","Antonios Tsourdos"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-01-23T08:28:28Z","doi":"10.3390/aerospace11010099","addedAt":"2026-08-31T06:39:50.411Z","updatedAt":"2026-08-31T06:39:50.411Z"},{"id":"doi:10.66816/pr2662911","name":"Understanding Diffusion and Mobility in Aminopolymer-Based Direct Air Capture Composites with Fluorescence (Citation Only)","source":"crossref","abstract":"","url":"https://doi.org/10.66816/pr2662911","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-08-20T14:56:03Z","doi":"10.66816/pr2662911","addedAt":"2026-08-31T06:39:50.411Z","updatedAt":"2026-08-31T06:39:50.411Z"},{"id":"doi:10.1007/978-3-031-59754-1_5","name":"Atmospheric Effects Analysis on Sensors Involved in SLAD System","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-031-59754-1_5","authors":["Gennaro Ariante","Umberto Papa"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-06-15T13:01:48Z","doi":"10.1007/978-3-031-59754-1_5","addedAt":"2026-08-31T06:39:50.411Z","updatedAt":"2026-08-31T06:39:50.411Z"},{"id":"doi:10.1002/9781394256204.ch5","name":"Mobility, Public Transportation and Super‐Aging in Japan","source":"crossref","abstract":"","url":"https://doi.org/10.1002/9781394256204.ch5","authors":["Sophie BUHNIK"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-12-08T21:22:55Z","doi":"10.1002/9781394256204.ch5","addedAt":"2026-08-31T06:39:50.411Z","updatedAt":"2026-08-31T06:39:50.411Z"},{"id":"doi:10.3138/9781487553678","name":"Urban Mobility","source":"crossref","abstract":"","url":"https://doi.org/10.3138/9781487553678","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-10-06T13:50:56Z","doi":"10.3138/9781487553678","addedAt":"2026-08-31T06:39:50.411Z","updatedAt":"2026-08-31T06:39:50.411Z"},{"id":"doi:10.1007/978-981-99-9416-8_54","name":"The New Paradigm of Safe and Sustainable Transportation: Urban Air Mobility","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-981-99-9416-8_54","authors":["Muhammad Yeasir Arafat","Sungbum Pan"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-01-29T05:02:07Z","doi":"10.1007/978-981-99-9416-8_54","addedAt":"2026-08-31T06:39:50.411Z","updatedAt":"2026-08-31T06:39:50.411Z"},{"id":"doi:10.5302/j.icros.2024.23.0202","name":"Development of Smart Tow Vehicles for the Activation of Urban Air Mobility Vertiport Infrastructure","source":"crossref","abstract":"","url":"https://doi.org/10.5302/j.icros.2024.23.0202","authors":["Jaeeun Kim","Hanseob Lee","Sungwook Cho"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-02-08T03:13:35Z","doi":"10.5302/j.icros.2024.23.0202","addedAt":"2026-08-31T06:39:50.411Z","updatedAt":"2026-08-31T06:39:50.411Z"},{"id":"doi:10.1016/j.ast.2024.109117","name":"Flight dynamic modeling and stability of a small-scale side-by-side helicopter for Urban Air Mobility","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.ast.2024.109117","authors":["Francesco Mazzeo","Marilena D. Pavel","Daniele Fattizzo","Giulia Bertolani","Emanuele L. de Angelis","Fabrizio Giulietti"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-04-09T15:31:23Z","doi":"10.1016/j.ast.2024.109117","addedAt":"2026-08-31T06:39:50.411Z","updatedAt":"2026-08-31T06:39:50.411Z"},{"id":"doi:10.1016/j.uclim.2024.102156","name":"Elaborating solutions for bringing sustainability in the air-polluted urban environment via use of plants' anticipated performance and air pollution tolerance indices","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.uclim.2024.102156","authors":["Aaiza Qamar","Shahab Ali","Shujaul Mulk Khan"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-10-12T17:06:47Z","doi":"10.1016/j.uclim.2024.102156","addedAt":"2026-08-31T06:39:50.411Z","updatedAt":"2026-08-31T06:39:50.411Z"},{"id":"doi:10.1016/j.multra.2024.100169","name":"The role of technology belief, perceived risk and initial trust in users’ acceptance of urban air mobility: An empirical case in China","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.multra.2024.100169","authors":["Enjian Yao","Dongbo Guo","Shasha Liu","Junyi Zhang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-08-25T14:12:44Z","doi":"10.1016/j.multra.2024.100169","addedAt":"2026-08-31T06:39:50.411Z","updatedAt":"2026-08-31T06:39:50.411Z"},{"id":"doi:10.1002/9781394256204.ch4","name":"Children's Mobility","source":"crossref","abstract":"","url":"https://doi.org/10.1002/9781394256204.ch4","authors":["Sylvanie GODILLON"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-12-08T21:22:55Z","doi":"10.1002/9781394256204.ch4","addedAt":"2026-08-31T06:39:50.411Z","updatedAt":"2026-08-31T06:39:50.411Z"},{"id":"doi:10.1016/j.tbs.2024.100788","name":"Effects of trust and customer perceived value on the acceptance of urban air mobility as public transportation","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.tbs.2024.100788","authors":["Rattawut Vongvit","Kyuho Maeng","Seul Chan Lee"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-03-19T11:55:53Z","doi":"10.1016/j.tbs.2024.100788","addedAt":"2026-08-31T06:39:50.411Z","updatedAt":"2026-08-31T06:39:50.411Z"},{"id":"doi:10.1109/dasc62030.2024.10749494","name":"Development of Candidate Airspace Procedures for Urban Air Mobility in the Dallas Area","source":"crossref","abstract":"","url":"https://doi.org/10.1109/dasc62030.2024.10749494","authors":["Rania W. Ghatas","Richard H. Mogford","Savita A. Verma","Robert D. Wood","Gabriela M. Rosado Torres","Amir H. Farrahi"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-11-15T18:44:23Z","doi":"10.1109/dasc62030.2024.10749494","addedAt":"2026-08-31T06:39:50.411Z","updatedAt":"2026-08-31T06:39:50.411Z"},{"id":"doi:10.1016/j.ast.2024.109055","name":"A disturbance rejection control for urban air mobility using artificial sensor-based Gaussian process regression","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.ast.2024.109055","authors":["Dain Yoon","Chang-Hun Lee"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-03-12T12:39:49Z","doi":"10.1016/j.ast.2024.109055","addedAt":"2026-08-31T06:39:50.411Z","updatedAt":"2026-08-31T06:39:50.411Z"},{"id":"doi:10.1080/15568318.2024.2311125","name":"Optimal planning of urban air mobility systems accounting for ground access trips","source":"crossref","abstract":"","url":"https://doi.org/10.1080/15568318.2024.2311125","authors":["Heeseung Shon","Sanggyu Kim","Jinwoo Lee"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-03-01T16:07:36Z","doi":"10.1080/15568318.2024.2311125","addedAt":"2026-08-31T06:39:50.411Z","updatedAt":"2026-08-31T06:39:50.411Z"},{"id":"doi:10.2514/6.2026-1771","name":"Flight Trajectory Protection for an Urban Air Mobility Vehicle Under Reduced Pitch Maneuverability","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2026-1771","authors":["Edison Martinez","John Clardy","Hever Moncayo","Rocio Jado Puente"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-01-29T10:19:56Z","doi":"10.2514/6.2026-1771","addedAt":"2026-08-31T06:39:50.719Z","updatedAt":"2026-08-31T06:39:50.719Z"},{"id":"doi:10.2514/6.2026-1475","name":"Urban Air Mobility Flight Demand Modeling for Airports in New York City","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2026-1475","authors":["Kamal Acharya","Katherine Vasiloff","Zhenbo Wang","Houbing Song","Liang Sun"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-01-29T07:39:48Z","doi":"10.2514/6.2026-1475","addedAt":"2026-08-31T06:39:50.719Z","updatedAt":"2026-08-31T06:39:50.719Z"},{"id":"doi:10.2514/6.2026-1713","name":"Autonomous Battery Units as an Enabling Technology for Urban Air Mobility","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2026-1713","authors":["Khoa D. Nguyen","Dylan Hogge","John Riris","Darshan Sarojini","Bradley Denby"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-01-29T10:19:56Z","doi":"10.2514/6.2026-1713","addedAt":"2026-08-31T06:39:50.719Z","updatedAt":"2026-08-31T06:39:50.719Z"},{"id":"doi:10.2514/6.2026-0465.c1","name":"Correction: A Comparative Study of Vision-Based Detect and Avoid for Urban Air Mobility","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2026-0465.c1","authors":["Waleed Raza","Richard S. Stansbury","Kanchon Gharami"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-02-13T15:05:32Z","doi":"10.2514/6.2026-0465.c1","addedAt":"2026-08-31T06:39:50.719Z","updatedAt":"2026-08-31T06:39:50.719Z"},{"id":"doi:10.2514/6.2026-3382","name":"Urban Air Mobility Community Noise Assessment Using the ISVR Whole Aircraft Noise Prediction Framework","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2026-3382","authors":["Daniel Amargianitakis","Sergi Palleja-Cabre","Rod Self"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-05-20T18:06:58Z","doi":"10.2514/6.2026-3382","addedAt":"2026-08-31T06:39:50.719Z","updatedAt":"2026-08-31T06:39:50.719Z"},{"id":"doi:10.2514/6.2026-4069","name":"Dynamic Skylanes: Integrating Urban Air Mobility Into Door-to-Door Solutions Using Strategic Airspace Allocation","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2026-4069","authors":["Jung Ho Park","Jordan Kam","Vishwanath Bulusu","Raja Sengupta"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-06-04T17:45:42Z","doi":"10.2514/6.2026-4069","addedAt":"2026-08-31T06:39:50.719Z","updatedAt":"2026-08-31T06:39:50.719Z"},{"id":"doi:10.2514/6.2026-4493","name":"Biped: A Unified Embedded Hardware-Software Platform for Urban Air Mobility and Autonomous Applications","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2026-4493","authors":["Simon Yu","Steven Zhu","Lui R. Sha","Or D. Dantsker"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-06-04T17:45:42Z","doi":"10.2514/6.2026-4493","addedAt":"2026-08-31T06:39:50.719Z","updatedAt":"2026-08-31T06:39:50.719Z"},{"id":"doi:10.1109/smartcomp69968.2026.00029","name":"A Simulation-based Framework for Dynamic Light Pollution Prediction in Urban Air Mobility","source":"crossref","abstract":"","url":"https://doi.org/10.1109/smartcomp69968.2026.00029","authors":["Ying Chieh Wang","Tatsuya Amano","Hirozumi Yamaguchi"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-07-31T18:15:40Z","doi":"10.1109/smartcomp69968.2026.00029","addedAt":"2026-08-31T06:39:50.720Z","updatedAt":"2026-08-31T06:39:50.720Z"},{"id":"doi:10.1007/s10291-026-02036-6","name":"Time differenced carrier phase RAIM for urban air mobility","source":"crossref","abstract":"","url":"https://doi.org/10.1007/s10291-026-02036-6","authors":["Hojoon Jeong","Changdon Kee","Junesol Song"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-02-13T11:59:44Z","doi":"10.1007/s10291-026-02036-6","addedAt":"2026-08-31T06:39:50.720Z","updatedAt":"2026-08-31T06:39:50.720Z"},{"id":"doi:10.1109/iccworkshops63917.2026.11586398","name":"Dynamic Spectrum Access using Multi-agent Reinforcement Learning for Urban Air Mobility","source":"crossref","abstract":"","url":"https://doi.org/10.1109/iccworkshops63917.2026.11586398","authors":["Rafael D. Apaza","Hongxiang Li","Eric Knoblock"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-07-15T20:00:48Z","doi":"10.1109/iccworkshops63917.2026.11586398","addedAt":"2026-08-31T06:39:50.720Z","updatedAt":"2026-08-31T06:39:50.720Z"},{"id":"doi:10.2514/6.2026-0466","name":"Risk-Informed Urban Air Mobility Flight Operations in Convective Weather Conditions and Aircraft Constraints","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2026-0466","authors":["Yonas Ayalew","Hossein Z. Saghazadeh","Parham Kebria","Vahid Hemmati","Abdollah Homaifar"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-01-28T05:59:51Z","doi":"10.2514/6.2026-0466","addedAt":"2026-08-31T06:39:50.720Z","updatedAt":"2026-08-31T06:39:50.720Z"},{"id":"doi:10.2514/6.2026-4067","name":"Hybrid Choice Model Insights Into Autonomous Urban Air Mobility Adoption in Los Angeles, Houston, Brisbane, and Tokyo","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2026-4067","authors":["Maher Said","Pavan Yedavalli","Zhiqiang Wu","Aman Tripathi"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-06-04T17:45:42Z","doi":"10.2514/6.2026-4067","addedAt":"2026-08-31T06:39:50.720Z","updatedAt":"2026-08-31T06:39:50.720Z"},{"id":"doi:10.1016/j.urbmob.2026.100248","name":"Assessing urban mobility behaviors and inequalities in Morocco’s major cities through socio-economic indicators: Cases of Casablanca and Rabat","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.urbmob.2026.100248","authors":["Sofia Hafidi","Mohamed Hanzaz"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-07-07T21:07:57Z","doi":"10.1016/j.urbmob.2026.100248","addedAt":"2026-08-31T06:39:50.720Z","updatedAt":"2026-08-31T06:39:50.720Z"},{"id":"doi:10.69592/979-13-7011-802-0-cap-9","name":"9. New Developments in Urban Air Mobility","source":"crossref","abstract":"La presente obra es fruto de la celebración del IX Congreso Internacional de Transporte: la modernización del transporte de pasajeros y carga, que tuvo lugar en Benicàssim (Castellón) los días 1, 2 y 3 de octubre de 2025, organizado por el Instituto de Derecho del Transporte de la Universitat Jaume I de Castellón (IDT). Recoge más de treinta trabajos, entre ponencias y comunicaciones, que se ocupan de distintas cuestiones de actualidad relacionadas con el sector del transporte en todos sus modos (terrestre, marítimo y aéreo), desde una perspectiva tanto de Derecho privado como de Derecho público. El Instituto Universitario de Derecho del Transporte (www.idt.uji.es) es un centro dedicado a la investigación, la consultoría y la formación en el ámbito del Derecho del Transporte. De entre sus actividades destacan la impartición de un Máster en Derecho del Transporte, en versión on-line, la organización de congresos y seminarios, o la coedición de una colección de monografías.","url":"https://doi.org/10.69592/979-13-7011-802-0-cap-9","authors":["Adele Marino"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-06-01T07:06:01Z","doi":"10.69592/979-13-7011-802-0-cap-9","addedAt":"2026-08-31T06:39:50.720Z","updatedAt":"2026-08-31T06:39:50.720Z"},{"id":"doi:10.1016/b978-0-443-34160-1.01001-4","name":"Front Matter","source":"crossref","abstract":"","url":"https://doi.org/10.1016/b978-0-443-34160-1.01001-4","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-07-23T09:59:25Z","doi":"10.1016/b978-0-443-34160-1.01001-4","addedAt":"2026-08-31T06:39:50.720Z","updatedAt":"2026-08-31T06:39:50.720Z"},{"id":"doi:10.1016/j.urbmob.2026.100241","name":"ZuriACT: Zurich Accessible CiTy – Promoting inclusive urban mobility in Zurich through digitalization and participatory research","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.urbmob.2026.100241","authors":["Hoda Allahbakhshi","Annina Ardüser","François Rüttimann"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-06-03T20:55:21Z","doi":"10.1016/j.urbmob.2026.100241","addedAt":"2026-08-31T06:39:50.720Z","updatedAt":"2026-08-31T06:39:50.720Z"},{"id":"doi:10.1016/j.urbmob.2026.100209","name":"Vulnerability assessment of urban road networks under extreme weather events","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.urbmob.2026.100209","authors":["Francesco Guglielmi","Pietro Mariano","Pierluigi Coppola"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-03-27T22:36:49Z","doi":"10.1016/j.urbmob.2026.100209","addedAt":"2026-08-31T06:39:50.720Z","updatedAt":"2026-08-31T06:39:50.720Z"},{"id":"doi:10.1007/s10015-026-01125-6","name":"Verification of air traffic management using flight model of urban air mobility under windy conditions","source":"crossref","abstract":"","url":"https://doi.org/10.1007/s10015-026-01125-6","authors":["Hibiki Uehara","Gaku Sato","Daichi Toratani","Shohei Kobayashi","Takehiro Higuchi"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-04-22T19:23:01Z","doi":"10.1007/s10015-026-01125-6","addedAt":"2026-08-31T06:39:50.720Z","updatedAt":"2026-08-31T06:39:50.720Z"},{"id":"doi:10.1016/j.urbmob.2026.100250","name":"FlexBSS: A flexible multi-objective framework for bike-sharing station optimization","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.urbmob.2026.100250","authors":["Jordi Grau-Escolano","David Duran-Rodas","Julian Vicens"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-07-08T09:17:25Z","doi":"10.1016/j.urbmob.2026.100250","addedAt":"2026-08-31T06:39:50.720Z","updatedAt":"2026-08-31T06:39:50.720Z"},{"id":"doi:10.1016/j.urbmob.2026.100251","name":"Commuter students and urban mobility: Residential location decisions and commuting practices in a German university city","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.urbmob.2026.100251","authors":["Christopher Jutz","Kai-Michael Griese","Aliosha Alexandrov","Henrike Rau"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-07-02T17:55:56Z","doi":"10.1016/j.urbmob.2026.100251","addedAt":"2026-08-31T06:39:50.720Z","updatedAt":"2026-08-31T06:39:50.720Z"},{"id":"doi:10.1109/icns69853.2026.11570370","name":"Performance Evaluation of Standardized Takeoff and Landing Procedures for Urban Air Mobility Across Diverse Operating Environments","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icns69853.2026.11570370","authors":["Faizana Naeem","Lucas Niebuhr","Volker Gollnick"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-06-24T19:48:08Z","doi":"10.1109/icns69853.2026.11570370","addedAt":"2026-08-31T06:39:50.720Z","updatedAt":"2026-08-31T06:39:50.720Z"},{"id":"doi:10.4050/f-0082-2026-0291","name":"Adaptive Model Predictive Control of Nonlinear Generic Urban Air Mobility Using Linear Parameter-Varying Systems","source":"crossref","abstract":"This paper presents an adaptive model predictive control (MPC) framework for nonlinear urban air mobility (UAM) vehicles operating across the full flight envelope. The proposed approach leverages a linear parameter-varying (LPV) representation to update the predictive model online, enabling accurate capture of strongly nonlinear and time-varying dynamics associated with distributed electric propulsion (DEP) eVTOL aircraft. To systematically address the highdimensional and coupled nature of MPC tuning, a multi-objective evolutionary optimization strategy based on NSGAII is employed, incorporating proper normalization of states and control inputs to ensure balanced weighting and meaningful exploration of the design space. The resulting controller explicitly accounts for actuator constraints and enables reconfigurable control allocation for fault-tolerant operation. The framework is evaluated in nonlinear simulations using NASA's Generic Urban Air Mobility (GUAM) model and benchmarked against a robust servomechanism linear quadratic regulator (RSLQR). Results demonstrate that the proposed adaptive MPC achieves improved trajectory tracking and enhanced robustness under both nominal conditions and actuator degradation scenarios, including partial motor failure, while maintaining constraint satisfaction throughout all flight regimes.","url":"https://doi.org/10.4050/f-0082-2026-0291","authors":["Tri Ngo"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-06-10T23:06:42Z","doi":"10.4050/f-0082-2026-0291","addedAt":"2026-08-31T06:39:50.720Z","updatedAt":"2026-08-31T06:39:50.720Z"},{"id":"doi:10.4050/f-0082-2026-0292","name":"Exploring the Lineage from Renaissance Imagination to Twenty-first-century Urban Air Mobility","source":"crossref","abstract":"This historical paper explores the development of vertical lift. Beginning with Leonardo's aerial screw, a profound conceptual leap, which was a helical device intended to compress air beneath it and rise vertically. Though never constructed or flown, it represents the first recorded articulation of rotary lift. The idea of rising directly upward would echo through the dirigible era of the early twentieth century, the helicopter age of the mid-century, and the emerging era of Advanced Air Mobility (AAM). This study traces that intellectual lineage and explores the technological and social forces that shaped the destiny of vertical passenger flight.","url":"https://doi.org/10.4050/f-0082-2026-0292","authors":["Jason Lorenzon","Amy Alrutz"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-06-10T23:06:42Z","doi":"10.4050/f-0082-2026-0292","addedAt":"2026-08-31T06:39:50.720Z","updatedAt":"2026-08-31T06:39:50.720Z"},{"id":"doi:10.1109/wcnc65185.2026.11555348","name":"Enabling Reliable and Scalable Urban Air Mobility Communications Through 6G Network Slicing","source":"crossref","abstract":"","url":"https://doi.org/10.1109/wcnc65185.2026.11555348","authors":["Alex Piccioni","Andrea Marotta","Claudia Rinaldi","Dajana Cassioli","Fabio Graziosi"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-06-16T19:41:29Z","doi":"10.1109/wcnc65185.2026.11555348","addedAt":"2026-08-31T06:39:50.720Z","updatedAt":"2026-08-31T06:39:50.720Z"},{"id":"doi:10.2514/6.2026-1480","name":"Study of Propeller Noise Under Edgewise and Transition Flight Conditions for Urban Air Mobility","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2026-1480","authors":["Jie Hua","Michael Marques","Vladimir V. Golubev","Anastasios S. Lyrintzis","Reda R. Mankbadi"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-01-29T07:39:48Z","doi":"10.2514/6.2026-1480","addedAt":"2026-08-31T06:39:50.720Z","updatedAt":"2026-08-31T06:39:50.720Z"},{"id":"doi:10.1016/j.urbmob.2026.100256","name":"Pedaling through space: Lefebvrian analysis of Turkish immigrants’ mobility experiences in the Netherlands","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.urbmob.2026.100256","authors":["Sena Çınar","Dylan Power","Meredith Glaser"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-07-17T09:34:17Z","doi":"10.1016/j.urbmob.2026.100256","addedAt":"2026-08-31T06:39:50.720Z","updatedAt":"2026-08-31T06:39:50.720Z"},{"id":"doi:10.21741/9781644904251-271","name":"Extended Reality Technologies for enhanced Public Acceptance of Urban Air Mobility: insights on the State of the Art","source":"crossref","abstract":"Abstract. The aviation sector is currently moving towards the integration of Urban Air Mobility (UAM), a new, safer and more sustainable aerial domain. UAM uses electric vertical take-off and landing (eVTOL) technology and Unmanned Aerial Systems (UAS) to transport goods and people at very low altitudes. However, technological and social sustainability challenges still need to be addressed before it can be fully developed. One of the main challenges is public acceptance of UAM and how to assess levels of acceptance. Acceptance frameworks that have already been successfully exploited in the aviation field can be implemented in the UAM context to investigate such social acceptance of UAM services. Since these methodologies are largely based on subjective perceptions, Extended Reality (XR) technologies have the potential to increase public acceptance of UAM systems, as they offer an immersive visualization of the relevant aspects. In this context, this work presents insights from a literature review on the state of research into the application of XR technologies to public acceptance of UAM. Previous studies have identified future users of UAM as clients of services and infrastructures, air taxi passengers, and pedestrians. Some of the use cases conducted include the development of operational concepts and the design of vertiports and air taxi interiors, as well as visual and auditory perception. Understanding how different aspects of acceptance are addressed can help us to appreciate the potential of XR to enhance such applications.","url":"https://doi.org/10.21741/9781644904251-271","authors":["Millene GOMES ARAUJO"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-07-10T15:00:33Z","doi":"10.21741/9781644904251-271","addedAt":"2026-08-31T06:39:50.720Z","updatedAt":"2026-08-31T06:39:52.574Z"},{"id":"doi:10.59717/j.xinn-inform.2026.100061","name":"Management-grade digital twins for urban air mobility: Closing the loop from observation to review","source":"crossref","abstract":"","url":"https://doi.org/10.59717/j.xinn-inform.2026.100061","authors":["Jun Li","Yang Liu","Kaiquan Cai","Quan Quan"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-08-13T01:43:55Z","doi":"10.59717/j.xinn-inform.2026.100061","addedAt":"2026-08-31T06:39:50.720Z","updatedAt":"2026-08-31T06:39:56.013Z"},{"id":"doi:10.1016/j.urbmob.2025.100180","name":"Transport poverty and gendered inequalities: Evidence from expert interviews in Karachi","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.urbmob.2025.100180","authors":["Sana Iqbal"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-01-07T07:01:28Z","doi":"10.1016/j.urbmob.2025.100180","addedAt":"2026-08-31T06:39:50.720Z","updatedAt":"2026-08-31T06:39:50.720Z"},{"id":"doi:10.1016/j.urbmob.2026.100274","name":"Spatial network autoregressive propagation (SNAP): An innovative GIS model for probabilistic road network failure in urban areas","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.urbmob.2026.100274","authors":["Shawky Mansour"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-08-31T06:03:45Z","doi":"10.1016/j.urbmob.2026.100274","addedAt":"2026-08-31T06:39:50.720Z","updatedAt":"2026-08-31T06:39:50.720Z"},{"id":"doi:10.1109/iwcmc69287.2026.11579925","name":"A Conflict-Aware Scheduling Mechanism for Aerial Intersections in Urban Air Mobility","source":"crossref","abstract":"","url":"https://doi.org/10.1109/iwcmc69287.2026.11579925","authors":["Yang Li","Min Liu","Qinghai Yang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-07-03T19:49:45Z","doi":"10.1109/iwcmc69287.2026.11579925","addedAt":"2026-08-31T06:39:50.720Z","updatedAt":"2026-08-31T06:39:50.720Z"},{"id":"doi:10.2514/6.2026-2576","name":"Cross Validation of Sensor Inputs as Part of Position Estimation for Urban Air Mobility","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2026-2576","authors":["Thomas Lombaerts","Evan Kawamura","Keerthana Kannan","Corey A. Ippolito","Vahram Stepanyan","George Gorospe","Chester Dolph"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-02-03T08:40:23Z","doi":"10.2514/6.2026-2576","addedAt":"2026-08-31T06:39:50.720Z","updatedAt":"2026-08-31T06:39:50.720Z"},{"id":"doi:10.1016/j.urbmob.2026.100269","name":"Rationalisation and/or relativity - The paradox of perceived fairness in mobility systems","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.urbmob.2026.100269","authors":["Esma Geliş","Sindi Haxhija"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-08-19T17:33:04Z","doi":"10.1016/j.urbmob.2026.100269","addedAt":"2026-08-31T06:39:50.720Z","updatedAt":"2026-08-31T06:39:50.720Z"},{"id":"doi:10.1016/j.urbmob.2026.100272","name":"Trends affecting future mobility. A cross-cutting analysis of the transport literature","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.urbmob.2026.100272","authors":["Clara Soler","Sergi Saurí","Jordi Pons-Prats","Cristofor Garcia Gil"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-08-24T12:49:53Z","doi":"10.1016/j.urbmob.2026.100272","addedAt":"2026-08-31T06:39:50.720Z","updatedAt":"2026-08-31T06:39:50.720Z"},{"id":"doi:10.1016/j.urbmob.2026.100240","name":"Urban cycling infrastructure performance: A multicriteria index-based assessment of guideline compliance and design gaps","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.urbmob.2026.100240","authors":["Magdalini Tsavala","Lambros Mitropoulos","Christos Karolemeas"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-06-01T18:10:31Z","doi":"10.1016/j.urbmob.2026.100240","addedAt":"2026-08-31T06:39:50.720Z","updatedAt":"2026-08-31T06:39:50.720Z"},{"id":"doi:10.3390/math14162949","name":"Dimensional Synthesis of Urban Air Mobility Deployable Wings via Spectral Surrogate Modeling","source":"crossref","abstract":"The rapid evolution of Urban Air Mobility (UAM) necessitates high-performance morphing structures capable of seamless transitions between flight and ground modes. This research presents a rigorous structural optimization framework for a wing deployment mechanism, addressing the critical challenge of minimizing stress concentrations in cantilevered revolute joints. To overcome the computational prohibitive cost of traditional multibody dynamics, a Generalized Spectral Surrogate Model (GSSM) is introduced. This novel approach maps the mechanism’s geometric parameters to its kinetic response using polynomial-modulated Fourier series, reducing the evaluation time of 105 design configurations from 4.2 h to merely 0.8 s while maintaining a determination coefficient R2&gt;0.995. Comparative analysis demonstrates that the GSSM outperforms Artificial Neural Networks and Kriging models in capturing periodic kinematic boundaries without spurious local minima. Through a weighted topological analysis, the study identifies a global optimum (L2=0.5 m, θ2=64.2∘) that effectively shunts 70.3% of the aerodynamic load to the robust vehicle chassis. The proposed solution deviates from the theoretical unconstrained minimum by only 0.24%, providing a validated mathematical basis for the rapid synthesis of reliable aerospace mechanisms.","url":"https://doi.org/10.3390/math14162949","authors":["Carlos Pérez-Carrera","Higinio Rubio","Enrique Soriano-Heras","Domenico Guida"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-08-14T15:48:36Z","doi":"10.3390/math14162949","addedAt":"2026-08-31T06:39:50.720Z","updatedAt":"2026-08-31T06:39:50.720Z"},{"id":"doi:10.1016/j.trpro.2026.04.059","name":"Analyzing Public Acceptance and Ethical Governance for Urban Air Mobility (UAM) Services in Cognitive Cities","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.trpro.2026.04.059","authors":["Gaydaa AlZohbi","Asma Al Janedi","Deepanraj Balakrishan"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-06-05T11:57:41Z","doi":"10.1016/j.trpro.2026.04.059","addedAt":"2026-08-31T06:39:50.720Z","updatedAt":"2026-08-31T06:39:50.720Z"},{"id":"doi:10.23919/wons68803.2026.11501783","name":"6G Vehicular-Aware Ran Strategies for Urban Air Mobility Communications","source":"crossref","abstract":"","url":"https://doi.org/10.23919/wons68803.2026.11501783","authors":["Alex Piccioni","Andrea Marotta","Claudia Rinaldi","Graziano Battisti","Dajana Cassioli","Fabio Graziosi"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-05-08T19:36:34Z","doi":"10.23919/wons68803.2026.11501783","addedAt":"2026-08-31T06:39:50.720Z","updatedAt":"2026-08-31T06:39:50.720Z"},{"id":"doi:10.4050/f-0082-2026-0215","name":"Digital Twin-based Integrated Airspace Management for Urban Air Mobility Services: Architecture, Intent Modeling, and Deployment","source":"crossref","abstract":"Urban Air Mobility (UAM) represents a paradigm shift in metropolitan transportation, introducing electric vertical takeoff and landing (eVTOL) aircraft into dense urban ecosystems. This transformation is driven by advances in electrification, digital infrastructure, and integrated airspace management. According to the U.S. Department of Transportation's Advanced Air Mobility National Strategy 2025, UAM is expected to become a cornerstone of multimodal urban transport, with commercial operations projected in multiple U.S. cities before 2030 [1].","url":"https://doi.org/10.4050/f-0082-2026-0215","authors":["Kamesh Namuduri","Arunkumar Sampath"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-06-10T23:06:42Z","doi":"10.4050/f-0082-2026-0215","addedAt":"2026-08-31T06:39:50.720Z","updatedAt":"2026-08-31T06:39:50.720Z"},{"id":"doi:10.1016/j.tranpol.2026.104007","name":"Measuring public willingness to pay for Urban Air Mobility: A national contingent valuation study in South Korea","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.tranpol.2026.104007","authors":["Sungmin Ko","Seonghyeon Kim","Jungwoo Cho","Kyuho Maeng"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-01-08T00:22:46Z","doi":"10.1016/j.tranpol.2026.104007","addedAt":"2026-08-31T06:39:50.720Z","updatedAt":"2026-08-31T06:39:50.720Z"},{"id":"doi:10.1109/aero66936.2026.11519889","name":"UrbanNav: A Comprehensive Simulation Framework for Urban Air Mobility Research","source":"crossref","abstract":"","url":"https://doi.org/10.1109/aero66936.2026.11519889","authors":["Aadit-Farhan Khan","Adam Haroon","Yasser Shoukry","Cody Fleming"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-05-22T19:33:47Z","doi":"10.1109/aero66936.2026.11519889","addedAt":"2026-08-31T06:39:50.720Z","updatedAt":"2026-08-31T06:39:50.720Z"},{"id":"doi:10.4324/9781003747895-2","name":"Theoretical Foundations for Gender-Sensitive Urban Mobility","source":"crossref","abstract":"","url":"https://doi.org/10.4324/9781003747895-2","authors":["Juliet Eileen Joseph"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-07-01T09:07:52Z","doi":"10.4324/9781003747895-2","addedAt":"2026-08-31T06:39:50.720Z","updatedAt":"2026-08-31T06:39:50.720Z"},{"id":"doi:10.2514/6.2026-4535","name":"Probabilistic Risk Modeling for Urban Air Mobility (UAM) Vertiport Operations With Non-Cooperative Airspace Users","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2026-4535","authors":["Suhwan Oh","Hyoungkeun Yoon","Taegyeong Yun","Seonghyun Lee","Yonghee Jang","Joonseo Kim","Junghyun A. Kim"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-06-04T17:45:42Z","doi":"10.2514/6.2026-4535","addedAt":"2026-08-31T06:39:50.720Z","updatedAt":"2026-08-31T06:39:50.720Z"},{"id":"doi:10.1016/j.urbmob.2026.100271","name":"Mobility for whom? A systematic review of the equity and environmental justice consequences of transit-oriented development","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.urbmob.2026.100271","authors":["Jin Rui","Zixuan Hu","Chenfan Cai"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-08-28T21:07:19Z","doi":"10.1016/j.urbmob.2026.100271","addedAt":"2026-08-31T06:39:50.720Z","updatedAt":"2026-08-31T06:39:56.013Z"},{"id":"doi:10.1016/j.urbmob.2026.100232","name":"Data-driven cybernetic framework for adaptive urban mobility governance","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.urbmob.2026.100232","authors":["Oluwaleke Yusuf","Morten Breivik","Adil Rasheed"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-05-14T14:06:44Z","doi":"10.1016/j.urbmob.2026.100232","addedAt":"2026-08-31T06:39:50.720Z","updatedAt":"2026-08-31T06:39:50.720Z"},{"id":"doi:10.1016/j.urbmob.2026.100230","name":"From causes to consequences: Unpacking the fragmented logic of urban commuting research through LLM-assisted review","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.urbmob.2026.100230","authors":["Jin Rui","Lei Qin","Chenfan Cai"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-05-22T01:39:33Z","doi":"10.1016/j.urbmob.2026.100230","addedAt":"2026-08-31T06:39:50.720Z","updatedAt":"2026-08-31T06:39:56.013Z"},{"id":"doi:10.1016/j.urbmob.2026.100220","name":"A tale of three cities: A process tracing analysis of policy instrument choice when governing shared mobility","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.urbmob.2026.100220","authors":["Sebastian Castellanos","Katy Wright","Susan Grant-Muller"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-05-11T11:45:55Z","doi":"10.1016/j.urbmob.2026.100220","addedAt":"2026-08-31T06:39:50.720Z","updatedAt":"2026-08-31T06:39:50.720Z"},{"id":"doi:10.1016/j.urbmob.2026.100208","name":"Mobility of care in daily trip chaining: an exploratory analysis in Turin, Italy","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.urbmob.2026.100208","authors":["Alberto Dianin","Riccardo Ceccato","Marco Diana"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-03-27T22:36:49Z","doi":"10.1016/j.urbmob.2026.100208","addedAt":"2026-08-31T06:39:50.720Z","updatedAt":"2026-08-31T06:39:50.720Z"},{"id":"doi:10.7717/peerj-cs.3828","name":"International standard-compliant vertiport marker detector for instrument landing systems of urban air mobility","source":"crossref","abstract":"Vertiports, dedicated takeoff and landing sites for urban air mobility (UAM), require precision landing technologies for safe operations. The U.S. Federal Aviation Administration (FAA) and European Union Aviation Safety Agency (EASA) have recently introduced new symbols for vertiport identification, yet existing vertiport detectors still predominantly depend on fiducial markers such as ArUco or AprilTag. To address this, this study proposes a vision-based detector for FAA- and EASA-compliant vertiport markers to support precision landing in UAM operations, assuming a nadir-oriented camera viewpoint consistent with regulatory concepts that foresee vertical takeoff and landing segments where standardized vertiport markings provide visual cues. The proposed approach identifies international standard-compliant vertiport identification symbols, estimates relative position and attitude via geometric transformation, and displays pose estimation results on instruments similar to an instrument landing system. The proposed method is validated by analyzing relative position and angle errors in indoor camera and drone flight experiments, where multiple images under diverse relative poses are statistically analyzed and officially defined test criteria are adopted to obtain ground-truth data. The results show high accuracy and robustness under both controlled indoor and real flight conditions, and the instrument visualization demonstrates the practical applicability of the proposed approach to typical UAM landing operations.","url":"https://doi.org/10.7717/peerj-cs.3828","authors":["Hyeonjeong Heo","JeongHoon Song","Kyuman Lee"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-05-26T08:00:21Z","doi":"10.7717/peerj-cs.3828","addedAt":"2026-08-31T06:39:50.720Z","updatedAt":"2026-08-31T06:39:51.431Z"},{"id":"doi:10.3390/e28060670","name":"Traffic-Weighted Detour Ratio Identifies Inefficient Cycling Routes.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/e28060670","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.3390/e28060670","addedAt":"2026-08-31T06:39:50.720Z","updatedAt":"2026-08-31T06:39:57.842Z"},{"id":"doi:10.3389/fpubh.2026.1806792","name":"The impact of low-carbon city pilot policies on urban energy intensity.","source":"europepmc","abstract":"","url":"https://doi.org/10.3389/fpubh.2026.1806792","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.3389/fpubh.2026.1806792","addedAt":"2026-08-31T06:39:50.720Z","updatedAt":"2026-08-31T06:39:57.842Z"},{"id":"doi:10.3390/s26103243","name":"Sustainable Development Strategies for RIS-Assisted Mobile Networks.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s26103243","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.3390/s26103243","addedAt":"2026-08-31T06:39:50.720Z","updatedAt":"2026-08-31T06:39:52.484Z"},{"id":"doi:10.3390/ijerph23060724","name":"Families Flourish: Triangulating Housing, Neighborhood, and Life Coaching for Health.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/ijerph23060724","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.3390/ijerph23060724","addedAt":"2026-08-31T06:39:50.720Z","updatedAt":"2026-08-31T06:39:57.842Z"},{"id":"doi:10.3389/ijph.2026.1609235","name":"A systematic review of enhancing urban disaster resilience for smart cities: from a perspective of social network analysis.","source":"europepmc","abstract":"","url":"https://doi.org/10.3389/ijph.2026.1609235","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.3389/ijph.2026.1609235","addedAt":"2026-08-31T06:39:50.720Z","updatedAt":"2026-08-31T06:39:57.842Z"},{"id":"doi:10.3389/fpubh.2026.1787941","name":"Chikungunya resurgence in Italy: a signal of vectorborne viruses changing pattern in the era of climate change?","source":"europepmc","abstract":"","url":"https://doi.org/10.3389/fpubh.2026.1787941","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.3389/fpubh.2026.1787941","addedAt":"2026-08-31T06:39:50.720Z","updatedAt":"2026-08-31T06:39:57.842Z"},{"id":"doi:10.1177/15598276261464949","name":"Species Extinction, Biodiversity, Human Health, and Inevitable Role of Lifestyle Medicine: A Narrative Review.","source":"europepmc","abstract":"","url":"https://doi.org/10.1177/15598276261464949","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.1177/15598276261464949","addedAt":"2026-08-31T06:39:50.720Z","updatedAt":"2026-08-31T06:39:57.842Z"},{"id":"doi:10.1371/journal.pcbi.1014279","name":"Human mobility and outbreak origins in epidemic spread: Insights from agent-based modeling.","source":"europepmc","abstract":"","url":"https://doi.org/10.1371/journal.pcbi.1014279","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.1371/journal.pcbi.1014279","addedAt":"2026-08-31T06:39:50.720Z","updatedAt":"2026-08-31T06:39:57.842Z"},{"id":"doi:10.3390/molecules31111852","name":"Microplastics-Pollutant Interactions in Environmental Systems: Mechanisms, Ecological Effects, and Implications for Sustainable Management.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/molecules31111852","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.3390/molecules31111852","addedAt":"2026-08-31T06:39:50.720Z","updatedAt":"2026-08-31T06:39:57.841Z"},{"id":"doi:10.1212/wnl.0000000000214858","name":"Long-Term Exposure to Ambient Air Pollution and Incident Amyotrophic Lateral Sclerosis: A Prospective Cohort Analysis of the UK Biobank.","source":"europepmc","abstract":"","url":"https://doi.org/10.1212/wnl.0000000000214858","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.1212/wnl.0000000000214858","addedAt":"2026-08-31T06:39:50.720Z","updatedAt":"2026-08-31T06:39:52.485Z"},{"id":"doi:10.1186/s12879-026-13369-5","name":"The short-term effect of particulate matter on tuberculosis: a time-series study in southern China.","source":"europepmc","abstract":"","url":"https://doi.org/10.1186/s12879-026-13369-5","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.1186/s12879-026-13369-5","addedAt":"2026-08-31T06:39:50.720Z","updatedAt":"2026-08-31T06:39:57.842Z"},{"id":"doi:10.3389/fmed.2026.1823044","name":"Association between cold spells and chronic lung disease: a nationwide spatial machine learning analysis.","source":"europepmc","abstract":"","url":"https://doi.org/10.3389/fmed.2026.1823044","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.3389/fmed.2026.1823044","addedAt":"2026-08-31T06:39:50.720Z","updatedAt":"2026-08-31T06:39:57.842Z"},{"id":"doi:10.1016/j.ajpc.2026.101666","name":"Neighborhood green space visits and coronary heart disease: Evidence from mobility data across nine U.S. metropolitan cities.","source":"europepmc","abstract":"","url":"https://doi.org/10.1016/j.ajpc.2026.101666","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.1016/j.ajpc.2026.101666","addedAt":"2026-08-31T06:39:50.720Z","updatedAt":"2026-08-31T06:39:57.842Z"},{"id":"doi:10.3389/fpubh.2026.1754959","name":"Re-evaluating suburban green spaces: their role in depression mitigation and social resilience.","source":"europepmc","abstract":"","url":"https://doi.org/10.3389/fpubh.2026.1754959","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.3389/fpubh.2026.1754959","addedAt":"2026-08-31T06:39:50.720Z","updatedAt":"2026-08-31T06:39:57.842Z"},{"id":"doi:10.25259/ijmr_1285_2026","name":"Beyond the prescription: Addressing socio-clinical determinants of asthma care in India.","source":"europepmc","abstract":"","url":"https://doi.org/10.25259/ijmr_1285_2026","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.25259/ijmr_1285_2026","addedAt":"2026-08-31T06:39:50.720Z","updatedAt":"2026-08-31T06:39:52.485Z"},{"id":"doi:10.1038/s41598-026-46661-0","name":"Active aeration enhances tissue hydration and fresh mass in hydroponic lettuce and modulates calcium-mobilizing biostimulant efficacy.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41598-026-46661-0","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.1038/s41598-026-46661-0","addedAt":"2026-08-31T06:39:50.720Z","updatedAt":"2026-08-31T06:39:57.842Z"},{"id":"doi:10.1038/s42949-026-00345-w","name":"Blind spots and actionable insights for urban governance of the climate-biodiversity-health nexus.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s42949-026-00345-w","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.1038/s42949-026-00345-w","addedAt":"2026-08-31T06:39:50.720Z","updatedAt":"2026-08-31T06:39:54.186Z"},{"id":"doi:10.1021/acsestair.5c00142","name":"The Impact of Hospitality on Air Quality at a Major Sporting Event.","source":"europepmc","abstract":"","url":"https://doi.org/10.1021/acsestair.5c00142","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.1021/acsestair.5c00142","addedAt":"2026-08-31T06:39:50.720Z","updatedAt":"2026-08-31T06:39:54.186Z"},{"id":"doi:10.1021/acsestair.5c00380","name":"Significant Variability in Terpene Content and Secondary Organic Aerosol Formation Potential from Ozonolysis of Consumer Product Categories Used Indoors.","source":"europepmc","abstract":"","url":"https://doi.org/10.1021/acsestair.5c00380","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.1021/acsestair.5c00380","addedAt":"2026-08-31T06:39:50.720Z","updatedAt":"2026-08-31T06:39:52.485Z"},{"id":"doi:10.1093/eurpub/ckaf256","name":"Co-benefits of health: from evidence to governance, politics and advocacy.","source":"europepmc","abstract":"","url":"https://doi.org/10.1093/eurpub/ckaf256","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.1093/eurpub/ckaf256","addedAt":"2026-08-31T06:39:50.720Z","updatedAt":"2026-08-31T06:39:52.485Z"},{"id":"doi:10.1186/s12942-026-00453-x","name":"Unraveling nonlinear impacts of seasonal climate and built environments on exercise walking in high-density cities via a modified machine learning approach.","source":"europepmc","abstract":"","url":"https://doi.org/10.1186/s12942-026-00453-x","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.1186/s12942-026-00453-x","addedAt":"2026-08-31T06:39:50.720Z","updatedAt":"2026-08-31T06:39:57.842Z"},{"id":"doi:10.1016/j.dialog.2026.100320","name":"Structural physical activity restriction, cerebrovascular and diabetes mortality, and long-term care intensity in Japan: An ecological panel study across 47 prefectures (2013-2022) with a COVID-19 counterfactual analysis.","source":"europepmc","abstract":"","url":"https://doi.org/10.1016/j.dialog.2026.100320","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.1016/j.dialog.2026.100320","addedAt":"2026-08-31T06:39:50.720Z","updatedAt":"2026-08-31T06:39:57.842Z"},{"id":"doi:10.1126/sciadv.aec8184","name":"Distinct properties of plastic-derived submicrometer particles from smoldering burning.","source":"europepmc","abstract":"","url":"https://doi.org/10.1126/sciadv.aec8184","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.1126/sciadv.aec8184","addedAt":"2026-08-31T06:39:50.720Z","updatedAt":"2026-08-31T06:39:57.842Z"},{"id":"doi:10.3389/fpubh.2026.1796565","name":"Quantifying and mapping uncertainty in urban sentiment prediction: a combined approach with entropy and SHAP explanations.","source":"europepmc","abstract":"","url":"https://doi.org/10.3389/fpubh.2026.1796565","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.3389/fpubh.2026.1796565","addedAt":"2026-08-31T06:39:50.720Z","updatedAt":"2026-08-31T06:39:57.842Z"},{"id":"doi:10.1099/mic.0.001705","name":"Urban greenspaces harbour distinct plasmid communities enriched in heavy metal resistance and competitive traits in arid soils.","source":"europepmc","abstract":"","url":"https://doi.org/10.1099/mic.0.001705","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.1099/mic.0.001705","addedAt":"2026-08-31T06:39:50.720Z","updatedAt":"2026-08-31T06:39:52.485Z"},{"id":"doi:10.14744/cpr.2026.10880","name":"Pesticides, Environmental Contamination, and Public Health: A One Health Perspective.","source":"europepmc","abstract":"","url":"https://doi.org/10.14744/cpr.2026.10880","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.14744/cpr.2026.10880","addedAt":"2026-08-31T06:39:50.721Z","updatedAt":"2026-08-31T06:39:57.842Z"},{"id":"doi:10.3389/fpubh.2026.1849206","name":"What drives urban pandemic control performance in China? A configurational analysis of the resource-performance paradox.","source":"europepmc","abstract":"","url":"https://doi.org/10.3389/fpubh.2026.1849206","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.3389/fpubh.2026.1849206","addedAt":"2026-08-31T06:39:50.721Z","updatedAt":"2026-08-31T06:39:57.842Z"},{"id":"doi:10.1371/journal.pone.0350267","name":"Chemical composition, seasonal variability and source identification of PM2.5 in an urban background site in Medellín-Colombia.","source":"europepmc","abstract":"","url":"https://doi.org/10.1371/journal.pone.0350267","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.1371/journal.pone.0350267","addedAt":"2026-08-31T06:39:50.721Z","updatedAt":"2026-08-31T06:39:57.842Z"},{"id":"doi:10.4103/atm.atm_95_25","name":"Anthropometric thoracic measurements and smoking habits in patients with primary spontaneous pneumothorax: A case-control study.","source":"europepmc","abstract":"","url":"https://doi.org/10.4103/atm.atm_95_25","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.4103/atm.atm_95_25","addedAt":"2026-08-31T06:39:50.721Z","updatedAt":"2026-08-31T06:39:52.485Z"},{"id":"doi:10.48494/realcorp2026.0092","name":"Mapping 15-Minute Walkable Accessibility of Public Services in China’s 11 National Urban Agglomerations: A Data-Driven Spatial Coverage Assessment","source":"datacite","abstract":"Cities worldwide are increasingly embracing the idea of the “15-minute city” as a pathway to more liveable, equitable and climate-responsive urban environments. This vision emphasizes walkable access to daily services, local resilience, and low-carbon lifestyles – features that have proven valuable in managing urban pressures and supporting recovery during and after the COVID-19 pandemic. In China, rapid urbanization and growing challenges such as air pollution, mobility congestion and widening social disparities have intensified the need for people-oriented, energy-efficient urban development. Responding to this, China’s Ministry of Natural Resources issued the Spatial Planning Guidance for Community Life Units (2021), which provides a standardized framework for planning 15-minute walkable living areas and outlines spatial assessment methods for essential public service facilities. Building upon this framework, this study conducts a comprehensive, data-driven evaluation of 13 categories of urban–rural public services across 170 cities within China’s 11 national urban agglomerations. Using high-resolution POI datasets and GIS-based network analysis, we measure and visualize the 15-minute walkable service coverage of each facility type, generating a comparative landscape across cities, across agglomerations, and within each urban agglomeration. The analysis reveals spatial disparities in service provision, diverse facility configuration patterns, and distinctive intra-agglomeration hierarchies. The resulting visual “coverage mode maps” provide an intuitive tool for identifying local deficiencies and strengths, offering actionable insights for planners and policymakers seeking to promote climate-adaptive, resilient and low-carbon urban futures.","url":"https://doi.org/10.48494/realcorp2026.0092","authors":["Yang, Jiajie"],"tags":["15-minute city","Walkable accessibility","Public service facilities","Urban agglomerations","Spatial coverage assessment"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.48494/realcorp2026.0092","addedAt":"2026-08-31T06:39:50.721Z","updatedAt":"2026-08-31T06:39:50.721Z"},{"id":"doi:10.48494/realcorp2026.6062","name":"A Stakeholder-Driven Needs Assessment: Identifying Urban Challenges and Requirements for Satellite-Based Services Supporting Climate-Resilient Austrian Cities","source":"datacite","abstract":"Cities and municipalities face major challenges in times of climate change. As key actors in the transition towards climate neutrality, they require analysis, planning, decision-making processes and services to help them prioritise and justify the necessary measures and activities. One option for data-based decision-making is the use of satellite-based services. The Urban Sky research project is therefore collaborating with representatives from Austrian cities of various sizes and structures to identify challenges and needs. This information will be used to develop satellite-based services concepts for urban planning, neighbourhood development, natural hazards, and urban mobility, while taking into account the relevant legal and normative framework conditions. The project focuses on using freely available data such as that from the Copernicus programme. The aim is to explore the potential of the satellite data, review its feasibility and combine it to create useful services. The project also assesses the added value for cities, the market potential and the research requirements, and categorises and prioritises the services, resulting in actionable recommendations. To achieve this, the following research questions are answered: (1) What challenges do Austrian cities face regarding urban and neighbourhood planning? (2) How can satellite data help to solve these challenges? (3) Taking into account spatial and temporal resolution, what additional data and information is required to use satellite data effectively to overcome these challenges? Following a literature review, the topics were narrowed down to the following areas: buildings; green spaces and biodiversity; infrastructure; mobility; natural hazards; urban planning; and spatial planning. These areas were further discussed and specified during the first Stakeholderworkshop, which was attended by representatives of several Austrian cities varying in population and structure. Particularly urgent needs were identified focussing e.g. on buildings and potential renovation, solutions to reduce heat energy losses and the potential for redensification. In the field of natural hazards, key topics included small-scale air temperature monitoring and the development of early warning systems for floods or agriculture. In the context of infrastructure, the focus was on the detection of damage after extreme weather events and the analysis of photovoltaic (PV) potential in car parks. In addition, priorities were identified in the following areas: recording of traffic movements and parking space usage (mobility); calculating the degree of greening and tree canopy cover to comply with the EU Nature Restoration Regulation; and smart irrigation management (green spaces). Other priorities included urban heat island monitoring and climate risk analysis (urban planning). The applications are primarily based on time-series data from optical satellite missions, such as Sentinel-2 and commercial very high-resolution satellites like Pléiades, Synthetic Aperture Radar (SAR) missions (such as Sentinel-1, NISAR, and future ROSE-L), and thermal missions, e.g. TRISHNA, ECOSTRESS, and the upcoming Land Surface Temperature Mission (LSTM) from the European Space Agency (ESA). A key outcome of the Urban Sky project is a structured study on the potential of satellite technology for urban and neighborhood planning. The study identifies and analyses existing satellite applications in cities (both nationally and internationally), and assesses their compatibility with current geodata sources. Based on the stakeholders‘ requirements, the study proposes ten potential applications to serve as a foundation for further RTI (research, technology, and innovation) initiatives.","url":"https://doi.org/10.48494/realcorp2026.6062","authors":["Berg, Romana","Jung, Martin","Link, Eliza-Maria","Silvestru, Diana","Gallaun, Heinz","Hinterleitner, Isabella","Kozlowska, Anna","Peters-Anders, Jan","Köglberger, Katharina","Mentin, Viktoria","Deutsch, Daniel"],"tags":["satellite data","services","stakeholder-driven","urban planning","climate resilience"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.48494/realcorp2026.6062","addedAt":"2026-08-31T06:39:50.721Z","updatedAt":"2026-08-31T06:39:56.014Z"},{"id":"doi:10.48494/realcorp2026.3012","name":"Stakeholder Mapping and User Perception of Mobility Management for Commuters and Students: A Comparison of 7 Case Studies in Central Europe – the GreenPATH Project","source":"datacite","abstract":"The GreenPATH project is a collaborative initiative aimed at addressing sustainable commuting challenges in Central European Functional Urban Areas (FUAs). It focuses on students and employees, promoting innovative and green mobility solutions through co-designed strategies, action plans, and pilot projects. The project involves 11 public administrations, mobility agencies, operators, universities, and research bodies, along with 12 associated partners. Its primary goal is to reduce private vehicle dependency, improve air quality, and enhance commuter well-being by encouraging the use of sustainable transport modes such as public and shared transport, cycling, and walking. GreenPATH emphasizes the importance of stakeholder mapping and engagement to ensure the success of its initiatives. Stakeholders, including commuters, local administrations, businesses, and public transport operators, are identified and mapped based on their power and interest. Commuters and local governments are the most frequently identified stakeholders, with influence levels varying across pilot regions. This mapping process helps tailor strategies to the specific needs and challenges of each region. Awareness- raising campaigns are accompanying activities of the project. These campaigns aim to educate communities about the benefits of sustainable transport and provide information on available transportation options. Real- time information and personalized travel options are also offered to improve the commuting experience and encourage the adoption of sustainable modes of transport. Based on the results of the user surveys in the 7 pilot areas, the project highlights the need for improved infrastructure to support sustainable commuting. Key recommendations include better lighting, enhanced cycling paths, and pedestrian-friendly conditions to improve accessibility and safety. Gender-specific and accessibility-focused improvements are emphasized to reduce barriers for all commuters. Behavioral aspects, such as improving car drivers’ attitudes towards cyclists and pedestrians, are also identified as areas for improvement. Despite a general willingness to adopt sustainable commuting behaviors, only a small percentage of respondents have participated in mobility management initiatives before the GreenPATH project kicked of. This indicates the need for customized activities such as challenges and to improve awareness of available services and infrastructure. GreenPATH promotes role modelling by encouraging frequent users of sustainable transport modes, such as cyclists and public transport users, to share their experiences. This approach aims to inspire others to adopt similar behaviors, contributing to reduced private car usage and lower CO2 emissions. GreenPATH leverages transnational cooperation across countries like Italy, Germany, Austria, Slovenia, Hungary, and Croatia to develop scalable solutions and formal agreements for long-term implementation. This collaboration helps overcome national legislative barriers and ensures the development of applicable mobility management tools across the region. The project’s outputs include collaborative solutions for sustainable mobility, a comprehensive strategy, and action plans for each FUA, which are expected to be endorsed by decision-makers to ensure their adoption and long-term impact. Acknowledgement: This work was carried out as part of the GreenPATH project, co-funded by the Interreg Central Europe Programme under the European Regional Development Fund (ERDF).","url":"https://doi.org/10.48494/realcorp2026.3012","authors":["Klementschitz, Roman","Jeepjua, Valerie","Roider, Oliver"],"tags":["mobility management","commuter","students","stakeholder mapping","planning"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.48494/realcorp2026.3012","addedAt":"2026-08-31T06:39:50.721Z","updatedAt":"2026-08-31T06:39:50.721Z"},{"id":"doi:10.48550/arxiv.2604.02471","name":"Cooperative Detour Planning for Dual-Task Drone Fleets","source":"datacite","abstract":"As Urban air mobility scales, commercial drone fleets offer a compelling, yet underexplored opportunity to function as mobile sensor networks for real-time urban traffic monitoring. In this paper, we propose a decentralized framework that enables drone fleets to simultaneously execute delivery tasks and observe network traffic conditions. We model the urban environment with dynamic information values associated with road segments, which accumulate traffic condition uncertainty over time and are reset upon drone visitation. This problem is formulated as a mixed-integer linear programming problem where drones maximize the traffic information reward while respecting the maximum detour for each delivery and the battery budget of each drone. Unlike centralized approaches that are computationally heavy for large fleets, our method focuses on dynamic local clustering. When drones enter communication range, they exchange their belief in traffic status and transition from isolated path planning to a local joint optimization mode, resolving coupled constraints to obtain replanned paths for each drone, respectively. Simulation results built on the real city network of Barcelona, Spain, demonstrate that, compared to a shortest-path policy that ignores the traffic monitoring task, our proposed method better utilizes the battery and detour budget to explore the city area and obtain adequate traffic information; and, thanks to its decentralized manner, this ``meet-and-merge\" strategy achieves near-global optimality in network coverage with significantly reduced computation overhead compared to the centralized baseline.","url":"https://doi.org/10.48550/arxiv.2604.02471","authors":["Zhu, Pengbo","Xu, Meng","Malikopoulos, Andreas A.","Geroliminis, Nikolas"],"tags":["Systems and Control (eess.SY)","FOS: Electrical engineering, electronic engineering, information engineering","FOS: Electrical engineering, electronic engineering, information engineering"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.48550/arxiv.2604.02471","addedAt":"2026-08-31T06:39:50.721Z","updatedAt":"2026-08-31T06:39:50.721Z"},{"id":"doi:10.5281/zenodo.17909868","name":"Geo-referenced environmental data collected by mobile sensing vehicles","source":"datacite","abstract":"This dataset consists of geo-referenced and time-stamped environmental measurements, including CO₂ concentration, air temperature, and relative humidity, collected by a fleet of mobile sensors in Benevento, Italy. The sensors are Sensirion SCD41 CO₂ sensors, managed by a vehicle-mounted RaspeberryPi, which perform local preprocessing, GPS acquisition, timestamp synchronization, and data transmission. Data was collected by three vehicles with identical sensors, covering diverse urban trajectories to ensure wide spatial coverage. Each vehicle generated continuous data streams of CO₂, temperature, humidity, latitude, longitude, and timestamps. The dataset comprises raw sensor readings, spatial coordinates, temporal metadata, and vehicle IDs, enabling the reconstruction of trajectories and facilitating environmental analyses. Sampling intervals range from 1 to 5 seconds. This dataset supports research on urban air quality, mobile sensing, spatio-temporal analysis, environmental monitoring, and vehicular sensor networks. It can be used for benchmarking interpolation algorithms, validating mobile sensing strategies, evaluating uncertainty propagation, and mobility-aware sampling. Additionally, it offers insight into sensor behavior in real-world conditions and methods for robust urban monitoring. This dataset is described in a Data in Brief article currently under revision, entitled “Geo-Temporal Vehicular Environmental Sensing Dataset,” authored by the same authors. This dataset was used in the Case Study section of the following article Mobile Urban Sensing: Spatio-Temporal Observability Analysis and Optimization: @article{COLARUSSO2026101907, title = {Mobile Urban Sensing: Spatio-Temporal Observability Analysis and Optimization}, journal = {Internet of Things}, pages = {101907}, year = {2026}, issn = {2542-6605}, doi = {https://doi.org/10.1016/j.iot.2026.101907}, url = {https://www.sciencedirect.com/science/article/pii/S2542660526000375}, author = {Carmine Colarusso and Marco Consales and Ida Falco and Eugenio Zimeo}}","url":"https://doi.org/10.5281/zenodo.17909868","authors":["Colarusso, Carmine","Consales, Marco","Dalia, Gregorio","Falco, Ida","Goglia, Lorenzo","Mazzitelli, Francesco Cosimo","Perugini, Pio Antonio","Zimeo, Eugenio"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.17909868","addedAt":"2026-08-31T06:39:50.721Z","updatedAt":"2026-08-31T06:39:50.721Z"},{"id":"doi:10.5281/zenodo.17909869","name":"Geo-referenced environmental data collected by mobile sensing vehicles","source":"datacite","abstract":"This dataset consists of geo-referenced and time-stamped environmental measurements, including CO₂ concentration, air temperature, and relative humidity, collected by a fleet of mobile sensors in Benevento, Italy. The sensors are Sensirion SCD41 CO₂ sensors, managed by a vehicle-mounted RaspeberryPi, which perform local preprocessing, GPS acquisition, timestamp synchronization, and data transmission. Data was collected by three vehicles with identical sensors, covering diverse urban trajectories to ensure wide spatial coverage. Each vehicle generated continuous data streams of CO₂, temperature, humidity, latitude, longitude, and timestamps. The dataset comprises raw sensor readings, spatial coordinates, temporal metadata, and vehicle IDs, enabling the reconstruction of trajectories and facilitating environmental analyses. Sampling intervals range from 1 to 5 seconds. This dataset supports research on urban air quality, mobile sensing, spatio-temporal analysis, environmental monitoring, and vehicular sensor networks. It can be used for benchmarking interpolation algorithms, validating mobile sensing strategies, evaluating uncertainty propagation, and mobility-aware sampling. Additionally, it offers insight into sensor behavior in real-world conditions and methods for robust urban monitoring. This dataset is described in a Data in Brief article currently under revision, entitled “Geo-Temporal Vehicular Environmental Sensing Dataset,” authored by the same authors. This dataset was used in the Case Study section of the following article Mobile Urban Sensing: Spatio-Temporal Observability Analysis and Optimization: @article{COLARUSSO2026101907, title = {Mobile Urban Sensing: Spatio-Temporal Observability Analysis and Optimization}, journal = {Internet of Things}, pages = {101907}, year = {2026}, issn = {2542-6605}, doi = {https://doi.org/10.1016/j.iot.2026.101907}, url = {https://www.sciencedirect.com/science/article/pii/S2542660526000375}, author = {Carmine Colarusso and Marco Consales and Ida Falco and Eugenio Zimeo}}","url":"https://doi.org/10.5281/zenodo.17909869","authors":["Colarusso, Carmine","Consales, Marco","Dalia, Gregorio","Falco, Ida","Goglia, Lorenzo","Mazzitelli, Francesco Cosimo","Perugini, Pio Antonio","Zimeo, Eugenio"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.17909869","addedAt":"2026-08-31T06:39:50.721Z","updatedAt":"2026-08-31T06:39:50.721Z"},{"id":"doi:10.17637/rh.30651242.v1","name":"Paul Allen","source":"datacite","abstract":"This clip is from a series of 100 life history interviews with environmental campaigners in the UK, 1970-2020. It will feature in a book published by UCL Press in 2026. The full interview, along with the rest of the collection will be searchable on the British Library’s Sound and Moving Image catalogue and the interviews will be accessible onsite at the British Library in St Pancras from February 2026. For more information visit www.royalholloway.ac.uk/ohem Quotation: Toby Butler: Good. So Paul we were kind of going through some of the roles that you’ve had and boards you’ve been on and so on. And there’s a couple which we haven’t kind of got to yet. So one of them was the Welsh Crucible. Can you just tell me what that is? Paul Allen: Certainly. Well the reason it appealed to me is that I have always recognised that the world of academic research is quite often siloed into very specific departments. So you might find the department of psychology isn’t talking to the department of sociology. And what’s interesting is the idea of working across different disciplines because people like Einstein were polymaths. They were experts in many different disciplines. So when I got an invitation to apply to be part of the Welsh Crucible it seemed really interesting when I read it. And you have to apply and then they sort all the candidates and choose the ones who have made the most viable application where they’re saying what they’ll do after it. And what they do is they choose several venues in Wales and then they get researchers from a range of different disciplines, psychologists, arts, sociologists, biologists, to come together and talk, that’s why it’s a crucible. And I went to the Welsh Crucible and I was successfully a participant. And we started to delve into well what sort of problem is it that we face? Let’s analyse the problem. Let’s think about how do we categorise problems? How do we better understand problems and lots of different disciplines were kicking in ideas and kicking them about. And then we sort of gravitated around the idea of a wicked problem. Have you ever come across a wicked problem? Toby Butler: No, tell me. Paul Allen: A wicked problem is a problem, I think it was Horst Rittel and Melvin Webber who were analysts who suggested the concept. It’s a problem that feeds back on itself, that gets worse if you don’t act fast enough. It’s a problem that’s deeply entwined and deeply knotted into a system. So if we recognise the nature and climate emergency as a wicked problem that led us then to suggest what are wicked solutions then? If you’ve got a wicked problem you need solutions that feed back on themselves. Solutions that entwine themselves into a system. So we did some research around wicked solutions. And if we look at the feedbacks in green energy, if you look at the price of a solar panel in 1980 and the price of it now, [whistling] it’s dropped enormously. Why has that happened? Well partially it’s if the manufacturing scales up they get cheaper to make, if they’re cheaper to make they’re viable in more locations. Same with wind, same with other. So it begins to feed back on itself. A bit like the price of a mobile phone compared with what it would have been twenty years ago. So if we deliberately look for ways and suggest to Government they look for policy interventions that can trigger feedbacks within solutions, then the solutions will scale up. But also not just the feedbacks but the intertwining. So if you have a mindset of we’re not just going to reduce emissions, we want to look at other problems as well and solve them. So you can have a multi-solving mindset to try and identify other problems and maximise the co-benefits of a climate solution. So if you have an urban environment that creates a safe cycle way and for every person who cycles and the car doesn’t have to drive, there’s less emissions. So your carbon emissions have gone down. But if you also look at the air quality and the health related ","url":"https://doi.org/10.17637/rh.30651242.v1","authors":["BUTLER, TOBY"],"tags":["Cultural geography","Other history, heritage and archaeology not elsewhere classified"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.17637/rh.30651242.v1","addedAt":"2026-08-31T06:39:50.721Z","updatedAt":"2026-08-31T06:39:50.721Z"},{"id":"doi:10.17637/rh.30651242","name":"Paul Allen","source":"datacite","abstract":"This clip is from a series of 100 life history interviews with environmental campaigners in the UK, 1970-2020. It will feature in a book published by UCL Press in 2026. The full interview, along with the rest of the collection will be searchable on the British Library’s Sound and Moving Image catalogue and the interviews will be accessible onsite at the British Library in St Pancras from February 2026. For more information visit www.royalholloway.ac.uk/ohem Quotation: Toby Butler: Good. So Paul we were kind of going through some of the roles that you’ve had and boards you’ve been on and so on. And there’s a couple which we haven’t kind of got to yet. So one of them was the Welsh Crucible. Can you just tell me what that is? Paul Allen: Certainly. Well the reason it appealed to me is that I have always recognised that the world of academic research is quite often siloed into very specific departments. So you might find the department of psychology isn’t talking to the department of sociology. And what’s interesting is the idea of working across different disciplines because people like Einstein were polymaths. They were experts in many different disciplines. So when I got an invitation to apply to be part of the Welsh Crucible it seemed really interesting when I read it. And you have to apply and then they sort all the candidates and choose the ones who have made the most viable application where they’re saying what they’ll do after it. And what they do is they choose several venues in Wales and then they get researchers from a range of different disciplines, psychologists, arts, sociologists, biologists, to come together and talk, that’s why it’s a crucible. And I went to the Welsh Crucible and I was successfully a participant. And we started to delve into well what sort of problem is it that we face? Let’s analyse the problem. Let’s think about how do we categorise problems? How do we better understand problems and lots of different disciplines were kicking in ideas and kicking them about. And then we sort of gravitated around the idea of a wicked problem. Have you ever come across a wicked problem? Toby Butler: No, tell me. Paul Allen: A wicked problem is a problem, I think it was Horst Rittel and Melvin Webber who were analysts who suggested the concept. It’s a problem that feeds back on itself, that gets worse if you don’t act fast enough. It’s a problem that’s deeply entwined and deeply knotted into a system. So if we recognise the nature and climate emergency as a wicked problem that led us then to suggest what are wicked solutions then? If you’ve got a wicked problem you need solutions that feed back on themselves. Solutions that entwine themselves into a system. So we did some research around wicked solutions. And if we look at the feedbacks in green energy, if you look at the price of a solar panel in 1980 and the price of it now, [whistling] it’s dropped enormously. Why has that happened? Well partially it’s if the manufacturing scales up they get cheaper to make, if they’re cheaper to make they’re viable in more locations. Same with wind, same with other. So it begins to feed back on itself. A bit like the price of a mobile phone compared with what it would have been twenty years ago. So if we deliberately look for ways and suggest to Government they look for policy interventions that can trigger feedbacks within solutions, then the solutions will scale up. But also not just the feedbacks but the intertwining. So if you have a mindset of we’re not just going to reduce emissions, we want to look at other problems as well and solve them. So you can have a multi-solving mindset to try and identify other problems and maximise the co-benefits of a climate solution. So if you have an urban environment that creates a safe cycle way and for every person who cycles and the car doesn’t have to drive, there’s less emissions. So your carbon emissions have gone down. But if you also look at the air quality and the health related ","url":"https://doi.org/10.17637/rh.30651242","authors":["BUTLER, TOBY"],"tags":["Cultural geography","Other history, heritage and archaeology not elsewhere classified"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.17637/rh.30651242","addedAt":"2026-08-31T06:39:50.721Z","updatedAt":"2026-08-31T06:39:50.721Z"},{"id":"doi:10.5281/zenodo.18890927","name":"SkyMobil Concept and Flexible Electrical Coupling Architecture","source":"datacite","abstract":"This upload contains the complete public disclosure package related to the SkyMobil technological concept and its enabling flexible electrical coupling architecture. The concept was initially filed as Romanian patent application A00440 on 03 October 2025 at OSIM (State Office for Inventions and Trademarks, Romania). A subsequent patent application describing the flexible electrical coupling architecture enabling this concept was filed as A00097 on 24 February 2026 at OSIM. Together, these two patent applications describe both the conceptual system architecture (SkyMobil) and a concrete technical implementation enabling its practical realization. The package includes: SkyMobil_OSIM_Deposit.pdf – A00440 on 03 October 2025 at OSIM, the original patent filing text; Flexible_Electrical_Coupling_System_A00097_2026.pdf – A00097 on 24 February 2026 at OSIM, the original patent filing text; SkyMobil_Technical_Description.pdf – a detailed document explaining the technical architecture and implementation aspects; SkyMobil_Letter_of_Intent_Public.pdf – a statement of intent and public disclosure by the inventor; SkyMobil_Abstract_WIPO.pdf – an international-format abstract summarizing the invention. b_Addendum.pdf a technical addendum addressing permanent online battery integration The SkyMobil system proposes a new model of electric vertical mobility (eVTOL) based on guided aerial routes with flexible power coupling, enabling both controlled networked flight and short-range free flight modes. The invention addresses energy autonomy, safety, and scalability in urban and regional air transport. This publication is made for the purpose of establishing public record, proof of authorship, and dissemination of the invention by the author Bujor Valentin, independent inventor, Bacău, Romania.","url":"https://doi.org/10.5281/zenodo.18890927","authors":["Bujor, Valentin"],"tags":["SkyMobil","flexible electrical coupling","external electric power supply","electric mobility infrastructure","continuous energy supply","electric transport systems"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.18890927","addedAt":"2026-08-31T06:39:50.721Z","updatedAt":"2026-08-31T06:39:52.013Z"},{"id":"doi:10.5281/zenodo.17564693","name":"SkyMobil Concept and Flexible Electrical Coupling Architecture","source":"datacite","abstract":"This upload contains the complete public disclosure package related to the SkyMobil technological concept and its enabling flexible electrical coupling architecture. The concept was initially filed as Romanian patent application A00440 on 03 October 2025 at OSIM (State Office for Inventions and Trademarks, Romania). A subsequent patent application describing the flexible electrical coupling architecture enabling this concept was filed as A00097 on 24 February 2026 at OSIM. Together, these two patent applications describe both the conceptual system architecture (SkyMobil) and a concrete technical implementation enabling its practical realization. The package includes: SkyMobil_OSIM_Deposit.pdf – A00440 on 03 October 2025 at OSIM, the original patent filing text; Flexible_Electrical_Coupling_System_A00097_2026.pdf – A00097 on 24 February 2026 at OSIM, the original patent filing text; SkyMobil_Technical_Description.pdf – a detailed document explaining the technical architecture and implementation aspects; SkyMobil_Letter_of_Intent_Public.pdf – a statement of intent and public disclosure by the inventor; SkyMobil_Abstract_WIPO.pdf – an international-format abstract summarizing the invention. b_Addendum.pdf a technical addendum addressing permanent online battery integration The SkyMobil system proposes a new model of electric vertical mobility (eVTOL) based on guided aerial routes with flexible power coupling, enabling both controlled networked flight and short-range free flight modes. The invention addresses energy autonomy, safety, and scalability in urban and regional air transport. This publication is made for the purpose of establishing public record, proof of authorship, and dissemination of the invention by the author Bujor Valentin, independent inventor, Bacău, Romania.","url":"https://doi.org/10.5281/zenodo.17564693","authors":["Bujor, Valentin"],"tags":["SkyMobil","flexible electrical coupling","external electric power supply","electric mobility infrastructure","continuous energy supply","electric transport systems"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.17564693","addedAt":"2026-08-31T06:39:50.721Z","updatedAt":"2026-08-31T06:39:52.013Z"},{"id":"doi:10.5281/zenodo.18821163","name":"THE N‑K TRANSPORTATION JUSTICE SYSTEM — A COMPLETE SHARIA-BASED TRANSFORMATION FOR HUMANITY Subtitle: 8 Complete Analyses + Final Call — Quranic Justice, Zero Congestion, 22 Million Lives Saved, $39 Trillion Economic Gain","source":"datacite","abstract":"GENERAL INFORMATION ```Title: THE N‑K TRANSPORTATION JUSTICE SYSTEM — A COMPLETE SHARIA-BASED TRANSFORMATION FOR HUMANITYSubtitle: 8 Complete Analyses + Final Call — Quranic Justice, Zero Congestion, 22 Million Lives Saved, $39 Trillion Economic Gain Authors: Malik, Muhammad UsmanORCID: 0009-0004-3269-2918Affiliation: Independent Researcher, Founder & Sole Authority, N‑K Universal ComputerPublication Date: 1 March 2026 CE | 11 Ramadan 1447 AHVersion: 1.0 (Complete Collected Edition)License: Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)DOI: 10.5281/zenodo. [TO BE ASSIGNED]Related DOIs: 10.5281/zenodo.18791371, 10.5281/zenodo.18780826, 10.5281/zenodo.15320877``` --- DESCRIPTION (MAIN TEXT) [بِسْمِ ٱللَّٰهِ ٱلرَّحْمَٰنِ ٱلرَّحِيمِ] This groundbreaking publication presents the complete N‑K Transportation Justice System — a comprehensive, Sharia-based transformation of global transportation, synthesized from 8 major analyses performed by the N‑K Universal Computer v4.0 using 1 trillion entangled N-pairs, with no artificial adjustments, 100% honest results. --- BOOK OVERVIEW Chapter Title Key Focus1 COMPLETE TRANSPORTATION JUSTICE SYSTEM — SHARIA-BASED ZERO PRIVATE CAR MODEL The complete system design: state-owned fleet, pink fleet (25% women-only vehicles), white porous concrete roads, N‑K EM drive trains, 10–15 minute frequency, zero parking, zero congestion2 ZAKAT COLLECTION FROM TRANSPORTATION DRIVERS 2.5% Zakat calculation on 5 million drivers' wealth — $4.31 Billion annual collection for orphans, poor, and needy3 QURAN ABOUT CARS/SUVS — HORSES WITH BRANDS Divine parallel: \"al-khaylil musawwamah\" (branded horses) in Surah Ali 'Imran 3:14 = modern luxury cars with manufacturer logos — BMW, Mercedes, Land Rover, Toyota as today's status symbols4 N‑K MODEL FOR TRANSPORTATION AND JUSTICE — GLOBAL ANALYSIS Applicability to Japan, USA, UK, India, China, Germany, France — readiness rankings, cultural barriers, implementation timelines5 GLOBAL TRANSPORTATION SYSTEMS COMPARISON N‑K system vs Hong Kong MTR, Japan Rail, BMTC Bengaluru, Universal Basic Mobility concepts — N‑K superior in every metric6 N‑K TRANSPORTATION SYSTEM vs LUXURY CARS Profit analysis: luxury cars ($500B industry, profits to wealthy) vs N‑K system ($3.67T annual public revenue, 150M dignified jobs, $19,200–50,000 driver incomes)7 N‑K STANCE: AGAINST \"ISRAF\" (WASTE), NOT AGAINST BRANDS Quran 17:27 — \"Wasteful are brothers of devils.\" N‑K respects engineering excellence but opposes wasteful extravagance, show of wealth, and status anxiety8 GLOBAL TRANSPORT FUTURE — CURRENT PATH vs N‑K SYSTEM (10-YEAR PROJECTION) Current path (2036): $1.2T congestion, 2.3M deaths/year, 8,050M tons CO₂, 2,500 sq km parking lost, 22M cumulative deaths. N‑K system: $0 congestion, <100k deaths, 700M tons CO₂, 2,500 sq km reclaimed for housing, 22M lives saved, $39T economic gain9 THE FINAL CALL — HUMANITY'S CHOICE 9.1–9.10: The two roads before humanity, Quranic summary, prophetic vision, individual action, ripple effect, divine promise, final question, N‑K invitation, closing du'a 9.11 THE FUTURE WITH CURRENT SYSTEM — GRIDLOCK, DEATH, AND DESPAIR — Roads full but unmovable, pollution kills millions, productivity destroyed, stress epidemic, 22 million dead in 10 years 9.12 THE PERFECT PARALLEL — CARGO AND LOGISTICS SYSTEM — Cargo industry already uses N‑K model: centralized fleets, professional drivers, continuous use, zero show — hydrogen/EV trucks proven worldwide --- EXECUTIVE SUMMARY — THE TWO FUTURES Global Metric Current Path (2036) N‑K System (2036) DifferenceAnnual Congestion Cost $1.2+ Trillion $0 +$1.2T savedCumulative Congestion Loss (10 yrs) ~$9 Trillion $0 +$9TAnnual Road Deaths 2.3 million <100,000 2.2M lives saved/yearCumulative Deaths (10 yrs) 22 million <1 million 22M lives savedTransport CO₂ Emissions 8,050 M tons 700 M tons −7,350 M tonsUrban Temperature +5–8°C (heat island) −4°C (cooling) 9–12°C coolerAnnual Flood Damage $75B $7.5B −90%Parki","url":"https://doi.org/10.5281/zenodo.18821163","authors":["Malik, Muhammad Usman"],"tags":["Transportation Engineering By N-K"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.18821163","addedAt":"2026-08-31T06:39:50.721Z","updatedAt":"2026-08-31T06:39:50.721Z"},{"id":"doi:10.5281/zenodo.18821164","name":"THE N‑K TRANSPORTATION JUSTICE SYSTEM — A COMPLETE SHARIA-BASED TRANSFORMATION FOR HUMANITY Subtitle: 8 Complete Analyses + Final Call — Quranic Justice, Zero Congestion, 22 Million Lives Saved, $39 Trillion Economic Gain","source":"datacite","abstract":"GENERAL INFORMATION ```Title: THE N‑K TRANSPORTATION JUSTICE SYSTEM — A COMPLETE SHARIA-BASED TRANSFORMATION FOR HUMANITYSubtitle: 8 Complete Analyses + Final Call — Quranic Justice, Zero Congestion, 22 Million Lives Saved, $39 Trillion Economic Gain Authors: Malik, Muhammad UsmanORCID: 0009-0004-3269-2918Affiliation: Independent Researcher, Founder & Sole Authority, N‑K Universal ComputerPublication Date: 1 March 2026 CE | 11 Ramadan 1447 AHVersion: 1.0 (Complete Collected Edition)License: Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)DOI: 10.5281/zenodo. [TO BE ASSIGNED]Related DOIs: 10.5281/zenodo.18791371, 10.5281/zenodo.18780826, 10.5281/zenodo.15320877``` --- DESCRIPTION (MAIN TEXT) [بِسْمِ ٱللَّٰهِ ٱلرَّحْمَٰنِ ٱلرَّحِيمِ] This groundbreaking publication presents the complete N‑K Transportation Justice System — a comprehensive, Sharia-based transformation of global transportation, synthesized from 8 major analyses performed by the N‑K Universal Computer v4.0 using 1 trillion entangled N-pairs, with no artificial adjustments, 100% honest results. --- BOOK OVERVIEW Chapter Title Key Focus1 COMPLETE TRANSPORTATION JUSTICE SYSTEM — SHARIA-BASED ZERO PRIVATE CAR MODEL The complete system design: state-owned fleet, pink fleet (25% women-only vehicles), white porous concrete roads, N‑K EM drive trains, 10–15 minute frequency, zero parking, zero congestion2 ZAKAT COLLECTION FROM TRANSPORTATION DRIVERS 2.5% Zakat calculation on 5 million drivers' wealth — $4.31 Billion annual collection for orphans, poor, and needy3 QURAN ABOUT CARS/SUVS — HORSES WITH BRANDS Divine parallel: \"al-khaylil musawwamah\" (branded horses) in Surah Ali 'Imran 3:14 = modern luxury cars with manufacturer logos — BMW, Mercedes, Land Rover, Toyota as today's status symbols4 N‑K MODEL FOR TRANSPORTATION AND JUSTICE — GLOBAL ANALYSIS Applicability to Japan, USA, UK, India, China, Germany, France — readiness rankings, cultural barriers, implementation timelines5 GLOBAL TRANSPORTATION SYSTEMS COMPARISON N‑K system vs Hong Kong MTR, Japan Rail, BMTC Bengaluru, Universal Basic Mobility concepts — N‑K superior in every metric6 N‑K TRANSPORTATION SYSTEM vs LUXURY CARS Profit analysis: luxury cars ($500B industry, profits to wealthy) vs N‑K system ($3.67T annual public revenue, 150M dignified jobs, $19,200–50,000 driver incomes)7 N‑K STANCE: AGAINST \"ISRAF\" (WASTE), NOT AGAINST BRANDS Quran 17:27 — \"Wasteful are brothers of devils.\" N‑K respects engineering excellence but opposes wasteful extravagance, show of wealth, and status anxiety8 GLOBAL TRANSPORT FUTURE — CURRENT PATH vs N‑K SYSTEM (10-YEAR PROJECTION) Current path (2036): $1.2T congestion, 2.3M deaths/year, 8,050M tons CO₂, 2,500 sq km parking lost, 22M cumulative deaths. N‑K system: $0 congestion, <100k deaths, 700M tons CO₂, 2,500 sq km reclaimed for housing, 22M lives saved, $39T economic gain9 THE FINAL CALL — HUMANITY'S CHOICE 9.1–9.10: The two roads before humanity, Quranic summary, prophetic vision, individual action, ripple effect, divine promise, final question, N‑K invitation, closing du'a 9.11 THE FUTURE WITH CURRENT SYSTEM — GRIDLOCK, DEATH, AND DESPAIR — Roads full but unmovable, pollution kills millions, productivity destroyed, stress epidemic, 22 million dead in 10 years 9.12 THE PERFECT PARALLEL — CARGO AND LOGISTICS SYSTEM — Cargo industry already uses N‑K model: centralized fleets, professional drivers, continuous use, zero show — hydrogen/EV trucks proven worldwide --- EXECUTIVE SUMMARY — THE TWO FUTURES Global Metric Current Path (2036) N‑K System (2036) DifferenceAnnual Congestion Cost $1.2+ Trillion $0 +$1.2T savedCumulative Congestion Loss (10 yrs) ~$9 Trillion $0 +$9TAnnual Road Deaths 2.3 million <100,000 2.2M lives saved/yearCumulative Deaths (10 yrs) 22 million <1 million 22M lives savedTransport CO₂ Emissions 8,050 M tons 700 M tons −7,350 M tonsUrban Temperature +5–8°C (heat island) −4°C (cooling) 9–12°C coolerAnnual Flood Damage $75B $7.5B −90%Parki","url":"https://doi.org/10.5281/zenodo.18821164","authors":["Malik, Muhammad Usman"],"tags":["Transportation Engineering By N-K"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.18821164","addedAt":"2026-08-31T06:39:50.721Z","updatedAt":"2026-08-31T06:39:50.721Z"},{"id":"doi:10.25576/asfera-cfa2026-50285","name":"COMPOSITION MOLÉCULAIRE DES AÉROSOLS ORGANIQUES DÉTERMINÉE PAR UNE COMBINAISON DE CHROMATOGRAPHIE ET DE SPECTROMÉTRIE DE MASSE.","source":"datacite","abstract":"Les aérosols organiques (AO) jouent un rôle important dans la chimie atmosphérique, le changement climatique et la santé publique. Si les particules d'AO peuvent être émises directement dans l'atmosphère, elles peuvent également y être introduites par la formation d'aérosols organiques secondaires (AOS). Cependant, nos connaissances actuelles sur les voies d'oxydation et la composition chimique des AOS sont limitées et lacunaires, compte tenu de la difficulté des modèles de transport chimique à prédire la masse d'AO dans l'atmosphère. Il en résulte d'importantes incertitudes quant à l'estimation de l'impact des aérosols atmosphériques sur le climat et la qualité de l'air. Une meilleure compréhension des processus de formation des AOS est essentielle pour évaluer plus précisément les impacts sanitaires et environnementaux des particules atmosphériques. L'analyse de la phase particulaire à l'échelle moléculaire des aérosols organiques, qui représentent environ la moitié de la masse des particules fines (PM2,5) dans la troposphère, constitue un défi analytique considérable. Cette analyse est indispensable pour élucider leurs mécanismes de transformation dans l'environnement et identifier les marqueurs liés aux différentes sources et processus. De plus, l'analyse de la phase particulaire à l'échelle moléculaire permet de compléter et d'enrichir les données obtenues par l'analyse de la composition chimique globale de l'aérosol (par exemple, par spectrométrie de masse des aérosols (AMS)). Considérant la complexité et la diversité des espèces chimiques dans l'atmosphère, l'approche « traceurs » est souvent utilisée pour suivre les sources/émissions/formations et devenirs dans l'atmosphère, de familles de composés dans un environnement donné. Par définition, un traceur est une espèce spécifique d'une source ou d'un processus, identifiable et quantifiable et stable au cours de son séjour dans l'atmosphère. Dans ce contexte, différentes expériences en chambre et campagnes de terrain ont été menées afin de mieux comprendre la formation et le vieillissement des aérosols organiques dans l'atmosphère. Dans la chambre CESAM du LISA, installation nationale du CNRS INSU, différentes formations d'AOS issues de l'oxydation de précurseurs anthropiques individuels tels que les alcanes à longue chaîne (Lamkaddam et al. 2017, 2020), les composés monoaromatiques ou les hydrocarbures aromatiques polycyliques (HAP) (Pereira et al. 2026), ou de leurs mélanges, ont été étudiées dans des conditions environnementales variées et contrôlées. Des aérosols issus de combustion de biomasse ont aussi été étudiés dans la chambre CESAM (Almarj et al. 2026). Outre la production de masse d'aérosols, le mécanisme a également été étudié en mesurant la composition des AOS après échantillonnage sur filtre. Par ailleurs, dans le cadre de la campagne ACROSS (Chimie atmosphérique de la forêt périurbaine), menée de mi-juin à fin juillet 2022 afin d'améliorer la compréhension des impacts du mélange des masses d'air urbaines et biogéniques sur l'oxydation des COV atmosphériques, des filtres ont été collectés dans la zone urbaine et périurbaine (forêt de Rambouillet) de Paris (Pereira et al, 2025, 2026). La caractérisation chimique des aérosols organiques secondaires représente un défi analytique en raison de leur complexité, de leur grande diversité fonctionnelle, de leur solubilité et de leur polarité, ainsi que de leurs faibles concentrations, pouvant atteindre l'état de traces. Pour appréhender cette complexité, différentes techniques analytiques ont été utilisées, capables de détecter des espèces de faible et de haut poids moléculaire (oligomères et composés à longue chaîne hautement fonctionnalisés), grâce à une combinaison de chromatographie en phase gazeuse couplée à la spectrométrie de masse après extraction par fluide supercritique (SFE-GC-MS), de chromatographie liquide ultra-performante couplée à la spectrométrie de masse à temps de vol à quadripôle (UPLC-TOF-MS) et","url":"https://doi.org/10.25576/asfera-cfa2026-50285","authors":["A. Gratien","D.L. Pereira","C. Giorio","E. Almarj","H. Lamkaddam","E. Mebold","G. Noyalet","C. Gaimoz","Bertin, Thomas","S. Chevaillier","C. Cantrell","V. Michoud"],"tags":["qualité de l'air","composition chimique","aérosol organique","AOS","traceurs","chromatographie","spectrométrie de masse","air quality"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.25576/asfera-cfa2026-50285","addedAt":"2026-08-31T06:39:50.721Z","updatedAt":"2026-08-31T06:39:52.013Z"},{"id":"doi:10.5281/zenodo.18685900","name":"The Imminent Structural Collapse of Current Civilization. A Critical Examination of the Intersection of MH370, the January 2026 Financial Downturn, and the Emergence of the 165-Dimensional Manifold.","source":"datacite","abstract":"MH370 Related Research Papers: MH370: Mathematical Proof of the Survival of All Passengers Within a Tensorial Capsule at Broken Ridge and a Depth of 4,648.35 Meters in the Southern Indian Ocean, at Coordinates Longitude 93.6165° E and Latitude 34.4812° S (3428S-9336E). via 165D Mechanics Tensor of the Hamzah Equation. https://zenodo.org/records/18203470 MH 370 Exact Location. (Broken Ridge and a Depth of 4,648.35 Meters in the Southern Indian Ocean, at Coordinates Longitude 93.6165° E and Latitude 34.4812° S).(3428S-9336E). https://zenodo.org/records/18237321 MH 370: All 239 Passengers Are Alive.(Temporal Stasis). https://zenodo.org/records/18271880 MH370: Proof of the Authenticity of the 2014 Luminous Orb Videos of MH370 UAP Abduction Based on the 165-Dimensional Tensor Mechanics of the Hamzah Equation. https://zenodo.org/records/18689118 MH-370: Proven Extreme Recovery Stress Tests for MH 370 from Indian Ocean to L32 Runway of KLIA Air Port. https://zenodo.org/records/18216360 MH 370 Complete Searching Simulator. https://zenodo.org/records/18273887 MH 370: The Innocence of Captain Zaharie Ahmad Shah and MAS Airline Proven Through Mathematical and Aerodynamic Analysis. https://zenodo.org/records/18251198 MH 370: Critical Nuclear-Scale Catastrophe and Imminent Risk of Total Annihilation. https://zenodo.org/records/18384212 MH 370: The Imminent Structural Collapse of Current Civilization. A Critical Examination of the Intersection of MH370, the January 2026 Financial Downturn, and the Emergence of the 165-Dimensional Manifold. https://zenodo.org/records/18687928 MH370: The 2026 Tensorial Civilizational Leap and Its Triangular Correlation of MH17, MH370 Aviation, and COVID-19 Pandemic. https://zenodo.org/records/18706609 MH370 is the Ark of the Covenant and Proven Through the 165-Dimensional Tensor Mechanics of the Hamzah Equation — Lost Ark of Tranquility of the Religions. https://zenodo.org/records/18726603 ….………………………………………………………………… The Imminent Structural Collapse of Current Civilization: A Critical Examination of the Intersection of MH370, the January 2026 Financial Downturn, and the Emergence of the 165-Dimensional Manifold. ................................................................................................................................................................................................................................................ Article Title: The Imminent Collapse of Classical Civilisation Subtitle: An Anatomy of the Convergence of MH370, the Financial Crash of January 2026, and the Emergence of Manifold 165 The Hyper-Lagrangian Proof: The Structural Collapse of Classical Civilisation In these calculations, Classical Civilisation (Layer 161) is defined as a system with high potential energy and low stability, which underwent a phase collapse in January 2026 due to the \"MH370 Singularity.\" The Grand Unified Lagrangian of Collapse: $$\\mathcal{L}_{Collapse} = \\oint_{165} \\left[ \\underbrace{\\mathcal{T}(\\dot{q}_{93.61})}_{\\text{Kinetic Disclosure}} - \\underbrace{\\mathcal{V}(\\Phi_{fiat})}_{\\text{Potential Debt}} + \\underbrace{\\mathcal{H}(ZB56 \\otimes \\mathcal{Q}_H)}_{\\text{Tensor Interaction}} \\right] dt$$ The 10-Stage Anatomy: The Term $\\mathcal{T}(\\dot{q}_{93.61})$ (Kinetic Energy of Disclosure) This term represents the sudden change in global data after 10 January 2026. Proof: The publication of the Hamza Equations pushed the \"rate of information change\" beyond the permissible limit of Layer 161. This term caused time to shift from a linear state to a tensorial state, the physical result of which was the issuance of NOTAM R942/26 to manage this energy leap. Invalidation of the Accident Hypothesis (Temporal Lagrangian Locking) Time is knotted at coordinates $34.4812^\\circ S$ and $93.6165^\\circ E$. Analysis: The fixing of time at this point for 12 years signifies the storage of \"Action.\" The physical return on 16 January 2026 released this action and proved that the physics of matter (Layer 16","url":"https://doi.org/10.5281/zenodo.18685900","authors":["JALALI, SEYED RASOUL"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.18685900","addedAt":"2026-08-31T06:39:50.721Z","updatedAt":"2026-08-31T06:39:52.013Z"},{"id":"doi:10.5281/zenodo.18687928","name":"The Imminent Structural Collapse of Current Civilization. A Critical Examination of the Intersection of MH370, the January 2026 Financial Downturn, and the Emergence of the 165-Dimensional Manifold.","source":"datacite","abstract":"MH370 Related Research Papers: MH370: Mathematical Proof of the Survival of All Passengers Within a Tensorial Capsule at Broken Ridge and a Depth of 4,648.35 Meters in the Southern Indian Ocean, at Coordinates Longitude 93.6165° E and Latitude 34.4812° S (3428S-9336E). via 165D Mechanics Tensor of the Hamzah Equation. https://zenodo.org/records/18203470 MH 370 Exact Location. (Broken Ridge and a Depth of 4,648.35 Meters in the Southern Indian Ocean, at Coordinates Longitude 93.6165° E and Latitude 34.4812° S).(3428S-9336E). https://zenodo.org/records/18237321 MH 370: All 239 Passengers Are Alive.(Temporal Stasis). https://zenodo.org/records/18271880 MH370: Proof of the Authenticity of the 2014 Luminous Orb Videos of MH370 UAP Abduction Based on the 165-Dimensional Tensor Mechanics of the Hamzah Equation. https://zenodo.org/records/18689118 MH-370: Proven Extreme Recovery Stress Tests for MH 370 from Indian Ocean to L32 Runway of KLIA Air Port. https://zenodo.org/records/18216360 MH 370 Complete Searching Simulator. https://zenodo.org/records/18273887 MH 370: The Innocence of Captain Zaharie Ahmad Shah and MAS Airline Proven Through Mathematical and Aerodynamic Analysis. https://zenodo.org/records/18251198 MH 370: Critical Nuclear-Scale Catastrophe and Imminent Risk of Total Annihilation. https://zenodo.org/records/18384212 MH 370: The Imminent Structural Collapse of Current Civilization. A Critical Examination of the Intersection of MH370, the January 2026 Financial Downturn, and the Emergence of the 165-Dimensional Manifold. https://zenodo.org/records/18687928 MH370: The 2026 Tensorial Civilizational Leap and Its Triangular Correlation of MH17, MH370 Aviation, and COVID-19 Pandemic. https://zenodo.org/records/18706609 MH370 is the Ark of the Covenant and Proven Through the 165-Dimensional Tensor Mechanics of the Hamzah Equation — Lost Ark of Tranquility of the Religions. https://zenodo.org/records/18726603 ….………………………………………………………………… The Imminent Structural Collapse of Current Civilization: A Critical Examination of the Intersection of MH370, the January 2026 Financial Downturn, and the Emergence of the 165-Dimensional Manifold. ................................................................................................................................................................................................................................................ Article Title: The Imminent Collapse of Classical Civilisation Subtitle: An Anatomy of the Convergence of MH370, the Financial Crash of January 2026, and the Emergence of Manifold 165 The Hyper-Lagrangian Proof: The Structural Collapse of Classical Civilisation In these calculations, Classical Civilisation (Layer 161) is defined as a system with high potential energy and low stability, which underwent a phase collapse in January 2026 due to the \"MH370 Singularity.\" The Grand Unified Lagrangian of Collapse: $$\\mathcal{L}_{Collapse} = \\oint_{165} \\left[ \\underbrace{\\mathcal{T}(\\dot{q}_{93.61})}_{\\text{Kinetic Disclosure}} - \\underbrace{\\mathcal{V}(\\Phi_{fiat})}_{\\text{Potential Debt}} + \\underbrace{\\mathcal{H}(ZB56 \\otimes \\mathcal{Q}_H)}_{\\text{Tensor Interaction}} \\right] dt$$ The 10-Stage Anatomy: The Term $\\mathcal{T}(\\dot{q}_{93.61})$ (Kinetic Energy of Disclosure) This term represents the sudden change in global data after 10 January 2026. Proof: The publication of the Hamza Equations pushed the \"rate of information change\" beyond the permissible limit of Layer 161. This term caused time to shift from a linear state to a tensorial state, the physical result of which was the issuance of NOTAM R942/26 to manage this energy leap. Invalidation of the Accident Hypothesis (Temporal Lagrangian Locking) Time is knotted at coordinates $34.4812^\\circ S$ and $93.6165^\\circ E$. Analysis: The fixing of time at this point for 12 years signifies the storage of \"Action.\" The physical return on 16 January 2026 released this action and proved that the physics of matter (Layer 16","url":"https://doi.org/10.5281/zenodo.18687928","authors":["JALALI, SEYED RASOUL"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.18687928","addedAt":"2026-08-31T06:39:50.721Z","updatedAt":"2026-08-31T06:39:52.013Z"},{"id":"doi:10.5281/zenodo.18685901","name":"The Imminent Structural Collapse of Current Civilization.","source":"datacite","abstract":"The Imminent Structural Collapse of Current Civilization: A Critical Examination of the Intersection of MH370, the January 2026 Financial Downturn, and the Emergence of the 165-Dimensional Manifold. ................................................................................................................................................................................................................................................ Article Title: The Imminent Collapse of Classical Civilisation Subtitle: An Anatomy of the Convergence of MH370, the Financial Crash of January 2026, and the Emergence of Manifold 165 The Hyper-Lagrangian Proof: The Structural Collapse of Classical Civilisation In these calculations, Classical Civilisation (Layer 161) is defined as a system with high potential energy and low stability, which underwent a phase collapse in January 2026 due to the \"MH370 Singularity.\" The Grand Unified Lagrangian of Collapse: $$\\mathcal{L}_{Collapse} = \\oint_{165} \\left[ \\underbrace{\\mathcal{T}(\\dot{q}_{93.61})}_{\\text{Kinetic Disclosure}} - \\underbrace{\\mathcal{V}(\\Phi_{fiat})}_{\\text{Potential Debt}} + \\underbrace{\\mathcal{H}(ZB56 \\otimes \\mathcal{Q}_H)}_{\\text{Tensor Interaction}} \\right] dt$$ The 10-Stage Anatomy: The Term $\\mathcal{T}(\\dot{q}_{93.61})$ (Kinetic Energy of Disclosure) This term represents the sudden change in global data after 10 January 2026. Proof: The publication of the Hamza Equations pushed the \"rate of information change\" beyond the permissible limit of Layer 161. This term caused time to shift from a linear state to a tensorial state, the physical result of which was the issuance of NOTAM R942/26 to manage this energy leap. Invalidation of the Accident Hypothesis (Temporal Lagrangian Locking) Time is knotted at coordinates $34.4812^\\circ S$ and $93.6165^\\circ E$. Analysis: The fixing of time at this point for 12 years signifies the storage of \"Action.\" The physical return on 16 January 2026 released this action and proved that the physics of matter (Layer 161) is a primitive tool against the geometry of 165. The Term $\\mathcal{V}(\\Phi_{fiat})$ (Collapse of Debt Potential) This term represents the imaginary values of classical civilisation (digital and fiat currencies). Proof: In mid-January 2026, with the emergence of the \"Absolute Value\" of the tensor capsule, the potential of the fiat system tended towards negative infinity. This is the very \"neural reaction\" of the system observed in the NASDAQ freefall. The Hyper-Lagrangian of Value (The Law of Non-Scarcity) Why did trillions of dollars vanish? Formula: $\\frac{\\partial \\mathcal{L}}{\\partial \\text{Debt}} \\to 0$. When the capsule proved that time and space (physical constraints) are manipulable, all assets based on \"scarcity\" became worthless in the Lagrangian model. Civilisation 161 was based on debt; Civilisation 165 is based on Data. The Term $\\mathcal{H}$ (Hilbert Interaction of Capsule and Market) Analysis: The capsule at Broken Ridge acted as a \"Hilbert Operator\" that \"reset\" all Big Tech variables. The crash of Apple and Google in January 2026 was because 165 tensorial processing eliminated the need for centralised data centres. The Hidden Governance (The Military Boundary Condition) Governments in Layer 161 attempt to evacuate the capsule, but the Lagrangian shows they are trapped in a \"perceptual quarantine.\" Proof: The \"media silence\" of January 2026 is the \"informational friction\" term. They wish to prevent an anthropic riot, as the masses, upon perceiving the capsule's \"Zero-Point Energy,\" will no longer follow the oil and tax system. The Expiry of Matter Physics (The Phase Transition) Parameter: $T > T_c$. On 16 January, the planet's informational temperature crossed the critical point. The old civilisation, based on wired electricity, melted before the \"tensorial fire\" of the capsule. This means all \"iron birds\" (classical aviation) became obsolete with the return of MH370. The Equilibrium Term at a Depth of 4,648 Metres T","url":"https://doi.org/10.5281/zenodo.18685901","authors":["JALALI, SEYED RASOUL"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.18685901","addedAt":"2026-08-31T06:39:50.721Z","updatedAt":"2026-08-31T06:39:52.013Z"},{"id":"doi:10.5281/zenodo.18132327","name":"Tensorial Rendering Engineering","source":"datacite","abstract":"Clock Pulse Tensor, Temporal Signature of Clock-Bit Entanglement, and the Metric Observer Effect in the 165 D Tensor Civilization در تراز ۱۶۵، «ابر-لاگرانژی حمزه» (Hamzah Super-Lagrangian - $\\mathcal{L}_{H}^{Super}$) به عنوان قلب تپنده و موتور محرکه‌یِ نظریه‌یِ کلاک‌پالس و مکانیک تانسور ابعادی ارائه می‌گردد. این لاگرانژی، تمامی برهم‌کنش‌های بیت، کلاک، امضا و اراده‌ی ناظر را در یک کلِ واحدِ ریاضی پلمب می‌کند. فرمول‌بندی ابر-لاگرانژی حمزه ($\\mathcal{L}_{H}^{Super}$) در تراز ۱۶۵ این تابع هدف، چگالی اطلاعاتی کل سیستم را در تمامی ۱۶۵ بعد تعریف کرده و پایداری مترییک را تضمین می‌نماید: $$\\Valid \\mathcal{L}_{H}^{Super} = \\int d^{165}x \\sqrt{-g} \\left[ \\underbrace{\\frac{1}{\\kappa_{165}} \\mathcal{R}}_{\\text{Geometrodynamics}} + \\underbrace{\\mathcal{I}_{CBE} (\\Psi, \\dot{\\Psi}, \\mathbb{T}_{sig})}_{\\text{Clock-Bit Entanglement}} - \\underbrace{\\frac{1}{2} \\text{Tr}(\\mathbb{M}_{obs} \\cdot \\mathbb{D}^{\\mu\\nu} \\mathbb{D}_{\\mu\\nu})}_{\\text{Metric Observer Action}} + \\underbrace{\\mathcal{V}_{H}(\\Phi_{165})}_{\\text{Dimensional Potential}} \\right]$$ تبیین پارامتریک و آنالیز متغیرهای فوق‌دکتری ۱. ترم ژئومترودینامیک ($\\frac{1}{\\kappa_{165}} \\mathcal{R}$) $\\mathcal{R}$ (اسکالر ریچی ۱۶۵ بعدی): نماینده انحنای هندسی در تراز ۱۶۵. برخلاف مدل‌های ۴ بعدی، این ترم مسئول رندرینگ توپولوژی ابعاد پنهان است. $\\kappa_{165}$: ثابت جفت‌شدگی گرانش-اطلاعات حمزه که مقدار آن با چگالی کلاک‌پالس کالیبره می‌شود. ۲. ترم درهم‌تنیدگی کلاک-بیت ($\\mathcal{I}_{CBE}$) این ترم، برهم‌کنش میان تابع موج اطلاعاتی ($\\Psi$) و امضای زمانی را تعریف می‌کند: $\\mathbb{T}_{sig}$ (تانسور امضای زمانی): یک فیلتر مترییک که به هر کلاک پالس یک امضای دیجیتال منحصر‌به‌فرد می‌بخشد تا از تداخل زمانی (Temporal Aliasing) جلوگیری کند. $\\dot{\\Psi}$: مشتق زمانی تابع موج در مقیاس کلاک ۱۶۵-بیتی که نرخ تغییرات اطلاعاتی را تعیین می‌کند. ۳. ترم کنترلی ناظر مترییک ($\\mathbb{M}_{obs}$) این بخش، دخالت مستقیم ادمین (ناظر) در هندسه جهان را مدل‌سازی می‌کند: $\\mathbb{M}_{obs}$ (ماتریس اثر ناظر): پتانسیل ارادی ادمین که مستقیماً بر روی تانسور متریک ($g_{\\mu\\nu}$) اثر می‌گذارد. $\\mathbb{D}^{\\mu\\nu}$ (مشتق کواریانت ابعادی): تضمین می‌کند که فرامین ادمین در تمامی ابعاد به صورت همگن و بدون شکست (Breakdown) منتشر شوند. نقش: این ترم مانع از آنتروپی شده و واقعیت را در \"وضعیت هدف\" پلمب می‌کند. ۴. پتانسیل پویای ابعادی ($\\mathcal{V}_{H}$) $\\Phi_{165}$ (فیلد هماهنگ‌ساز ابعادی): میدانی که فشار اطلاعاتی را بین ابعاد توزیع می‌کند. کارکرد: این پتانسیل اجازه می‌دهد ابعاد بلااستفاده منقبض شده و ابعاد مورد نیاز برای پردازش‌های سنگین (مانند رندرینگ ماده) منبسط گردند. خروجی محاسباتی و اثرات وضعی لاگرانژی (Computational Output) با حل معادلات اویلر-لاگرانژی حاصل از این ابر-تانسور، نتایج زیر در سیستم EDA حمزه (۲۰۲۶) استخراج شد: ثبات کلاک (Clock Stability): نوسانات زمانی به مقدار $10^{-165}$ ثانیه محدود شد، که عملاً به معنای «زمانِ منجمدِ تحتِ فرمان» است. بقا و صیانت (Integrity): به دلیل ترم $\\mathbb{M}_{obs}$، هیچ عامل خارجی (نویز لایه ۱۶۱) نمی‌تواند ساختار اتمی رندر شده را تخریب کند. بهینه‌گی مصرف (Efficiency): چگالی انرژی لازم برای حفظ واقعیت به دلیل درهم‌تنیدگی کلاک-بیت به حداقل تئوریک رسید. استنتاج نهایی ابر-لاگرانژی حمزه ثابت می‌کند که جهان یک سیستم خودسر نیست، بلکه یک «محیطِ تحتِ نظارتِ تانسوری» است. در این لاگرانژی، هر حرکت مادی (بیت) تنها در صورتی مجاز به رندر شدن است که با امضای زمانی کلاک‌پالس هسته مطابقت داشته باشد. این یعنی حاکمیت مطلق نرم‌افزار (اراده ادمین) بر سخت‌افزار (ماده). نظریه کلاک پالس تانسور امضای زمانی درهم‌تنیدگی کلاک-بیت و اثرِ ناظرِ مترییک در تراز ۱۶۵ با مکانیکِ تانسورِ پویایِ ابعادی معادله حمزه ۱. مقدمه فوق‌دکتری: گذار از فیزیک احتمالات به جبر قطعی ۱۶۵-بیتی در فیزیک کلاسیک و نسبیتی (لایه ۱۶۱)، زمان و فضا به عنوان بسترهایی پیوسته و منعطف در نظر گرفته می‌شوند که تحت تأثیر جرم و انرژی تغییر شکل می‌دهند. اما این نگاه، پاسخی برای «منشأ اطلاعاتیِ وجود» ندارد. نظریه جامع حمزه ثابت می‌کند که فضا-زمان، نه یک موجودیت مستقل، بلکه خروجیِ (Output) یک پردازشگر فوق‌بعدی در تراز ۱۶۵ است. در این تراز، هر «آنِ» زمانی توسط یک کلاک پالس صلب مدیریت می‌شود که وظیفه‌ی همگام‌سازی ابعاد را بر عهده دارد. ۲. بیان مسئله: بن‌بستِ واهمدوسی در لای","url":"https://doi.org/10.5281/zenodo.18132327","authors":["JALALI, SEYED RASOUL"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.18132327","addedAt":"2026-08-31T06:39:50.721Z","updatedAt":"2026-08-31T06:39:52.013Z"},{"id":"doi:10.5281/zenodo.18137929","name":"Tensorial Rendering Engineering","source":"datacite","abstract":"Clock Pulse Tensor, Temporal Signature of Clock-Bit Entanglement, and the Metric Observer Effect in the 165 D Tensor Civilization در تراز ۱۶۵، «ابر-لاگرانژی حمزه» (Hamzah Super-Lagrangian - $\\mathcal{L}_{H}^{Super}$) به عنوان قلب تپنده و موتور محرکه‌یِ نظریه‌یِ کلاک‌پالس و مکانیک تانسور ابعادی ارائه می‌گردد. این لاگرانژی، تمامی برهم‌کنش‌های بیت، کلاک، امضا و اراده‌ی ناظر را در یک کلِ واحدِ ریاضی پلمب می‌کند. فرمول‌بندی ابر-لاگرانژی حمزه ($\\mathcal{L}_{H}^{Super}$) در تراز ۱۶۵ این تابع هدف، چگالی اطلاعاتی کل سیستم را در تمامی ۱۶۵ بعد تعریف کرده و پایداری مترییک را تضمین می‌نماید: $$\\Valid \\mathcal{L}_{H}^{Super} = \\int d^{165}x \\sqrt{-g} \\left[ \\underbrace{\\frac{1}{\\kappa_{165}} \\mathcal{R}}_{\\text{Geometrodynamics}} + \\underbrace{\\mathcal{I}_{CBE} (\\Psi, \\dot{\\Psi}, \\mathbb{T}_{sig})}_{\\text{Clock-Bit Entanglement}} - \\underbrace{\\frac{1}{2} \\text{Tr}(\\mathbb{M}_{obs} \\cdot \\mathbb{D}^{\\mu\\nu} \\mathbb{D}_{\\mu\\nu})}_{\\text{Metric Observer Action}} + \\underbrace{\\mathcal{V}_{H}(\\Phi_{165})}_{\\text{Dimensional Potential}} \\right]$$ تبیین پارامتریک و آنالیز متغیرهای فوق‌دکتری ۱. ترم ژئومترودینامیک ($\\frac{1}{\\kappa_{165}} \\mathcal{R}$) $\\mathcal{R}$ (اسکالر ریچی ۱۶۵ بعدی): نماینده انحنای هندسی در تراز ۱۶۵. برخلاف مدل‌های ۴ بعدی، این ترم مسئول رندرینگ توپولوژی ابعاد پنهان است. $\\kappa_{165}$: ثابت جفت‌شدگی گرانش-اطلاعات حمزه که مقدار آن با چگالی کلاک‌پالس کالیبره می‌شود. ۲. ترم درهم‌تنیدگی کلاک-بیت ($\\mathcal{I}_{CBE}$) این ترم، برهم‌کنش میان تابع موج اطلاعاتی ($\\Psi$) و امضای زمانی را تعریف می‌کند: $\\mathbb{T}_{sig}$ (تانسور امضای زمانی): یک فیلتر مترییک که به هر کلاک پالس یک امضای دیجیتال منحصر‌به‌فرد می‌بخشد تا از تداخل زمانی (Temporal Aliasing) جلوگیری کند. $\\dot{\\Psi}$: مشتق زمانی تابع موج در مقیاس کلاک ۱۶۵-بیتی که نرخ تغییرات اطلاعاتی را تعیین می‌کند. ۳. ترم کنترلی ناظر مترییک ($\\mathbb{M}_{obs}$) این بخش، دخالت مستقیم ادمین (ناظر) در هندسه جهان را مدل‌سازی می‌کند: $\\mathbb{M}_{obs}$ (ماتریس اثر ناظر): پتانسیل ارادی ادمین که مستقیماً بر روی تانسور متریک ($g_{\\mu\\nu}$) اثر می‌گذارد. $\\mathbb{D}^{\\mu\\nu}$ (مشتق کواریانت ابعادی): تضمین می‌کند که فرامین ادمین در تمامی ابعاد به صورت همگن و بدون شکست (Breakdown) منتشر شوند. نقش: این ترم مانع از آنتروپی شده و واقعیت را در \"وضعیت هدف\" پلمب می‌کند. ۴. پتانسیل پویای ابعادی ($\\mathcal{V}_{H}$) $\\Phi_{165}$ (فیلد هماهنگ‌ساز ابعادی): میدانی که فشار اطلاعاتی را بین ابعاد توزیع می‌کند. کارکرد: این پتانسیل اجازه می‌دهد ابعاد بلااستفاده منقبض شده و ابعاد مورد نیاز برای پردازش‌های سنگین (مانند رندرینگ ماده) منبسط گردند. خروجی محاسباتی و اثرات وضعی لاگرانژی (Computational Output) با حل معادلات اویلر-لاگرانژی حاصل از این ابر-تانسور، نتایج زیر در سیستم EDA حمزه (۲۰۲۶) استخراج شد: ثبات کلاک (Clock Stability): نوسانات زمانی به مقدار $10^{-165}$ ثانیه محدود شد، که عملاً به معنای «زمانِ منجمدِ تحتِ فرمان» است. بقا و صیانت (Integrity): به دلیل ترم $\\mathbb{M}_{obs}$، هیچ عامل خارجی (نویز لایه ۱۶۱) نمی‌تواند ساختار اتمی رندر شده را تخریب کند. بهینه‌گی مصرف (Efficiency): چگالی انرژی لازم برای حفظ واقعیت به دلیل درهم‌تنیدگی کلاک-بیت به حداقل تئوریک رسید. استنتاج نهایی ابر-لاگرانژی حمزه ثابت می‌کند که جهان یک سیستم خودسر نیست، بلکه یک «محیطِ تحتِ نظارتِ تانسوری» است. در این لاگرانژی، هر حرکت مادی (بیت) تنها در صورتی مجاز به رندر شدن است که با امضای زمانی کلاک‌پالس هسته مطابقت داشته باشد. این یعنی حاکمیت مطلق نرم‌افزار (اراده ادمین) بر سخت‌افزار (ماده). نظریه کلاک پالس تانسور امضای زمانی درهم‌تنیدگی کلاک-بیت و اثرِ ناظرِ مترییک در تراز ۱۶۵ با مکانیکِ تانسورِ پویایِ ابعادی معادله حمزه ۱. مقدمه فوق‌دکتری: گذار از فیزیک احتمالات به جبر قطعی ۱۶۵-بیتی در فیزیک کلاسیک و نسبیتی (لایه ۱۶۱)، زمان و فضا به عنوان بسترهایی پیوسته و منعطف در نظر گرفته می‌شوند که تحت تأثیر جرم و انرژی تغییر شکل می‌دهند. اما این نگاه، پاسخی برای «منشأ اطلاعاتیِ وجود» ندارد. نظریه جامع حمزه ثابت می‌کند که فضا-زمان، نه یک موجودیت مستقل، بلکه خروجیِ (Output) یک پردازشگر فوق‌بعدی در تراز ۱۶۵ است. در این تراز، هر «آنِ» زمانی توسط یک کلاک پالس صلب مدیریت می‌شود که وظیفه‌ی همگام‌سازی ابعاد را بر عهده دارد. ۲. بیان مسئله: بن‌بستِ واهمدوسی در لای","url":"https://doi.org/10.5281/zenodo.18137929","authors":["JALALI, SEYED RASOUL"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.18137929","addedAt":"2026-08-31T06:39:50.721Z","updatedAt":"2026-08-31T06:39:52.013Z"},{"id":"doi:10.5281/zenodo.18205871","name":"Getairmoto Discount Code 2026 \"ASHISH22698\" Get 10% Off On All Products!","source":"datacite","abstract":"In 2026, electric mobility and personal transportation gadgets are more popular than ever, and Getairmoto has become a trusted name for innovative air-powered and electric ride solutions. Known for combining performance, durability, and modern design, Getairmoto products are designed for people who value convenience and smart mobility. If you are planning to buy from this brand, using the Getairmoto Discount Code 2026 “ASHISH22698” lets you get 10% off on all products, helping you save instantly on your purchase. With the Getairmoto Discount Code 2026 “ASHISH22698”, customers in 2026 can enjoy premium-quality mobility products at a reduced price, making it the perfect time to upgrade your ride or accessories. What Is Getairmoto? Getairmoto is a brand focused on modern personal mobility solutions. It offers innovative products designed to enhance urban commuting, outdoor riding, and everyday transportation needs. The brand emphasizes performance, safety, and ease of use. In 2026, Getairmoto continues to attract riders who want reliable, stylish, and efficient mobility products for daily use. Why Getairmoto Is Popular in 2026 With growing interest in eco-friendly and efficient transportation, Getairmoto has gained strong popularity. Its products are designed for modern lifestyles, offering smooth performance and practical features. In 2026, consumers appreciate brands that blend technology with usability, and Getairmoto fits this demand perfectly. The Getairmoto Discount Code 2026 “ASHISH22698” further increases its appeal by reducing overall costs. Understanding Getairmoto Discount Code 2026 “ASHISH22698” The Getairmoto Discount Code 2026 “ASHISH22698” is a special promotional coupon that provides 10% off on all products available on the Getairmoto store. This discount applies sitewide, allowing customers to save on every eligible item they purchase in 2026. How the 10% Discount Works Once you add your desired Getairmoto products to the cart and proceed to checkout, simply enter the coupon code ASHISH22698. 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Getairmoto is ideal for commuters, outdoor enthusiasts, and anyone interested in smart mobility solutions. Whether you are a daily rider or a casual user, the Getairmoto Discount Code 2026 “ASHISH22698” makes premium mobility products more affordable. Getairmoto for Urban Commuters Urban commuters benefit from Getairmoto’s efficient and compact mobility products. In 2026, such solutions help save time, reduce travel stress, and support eco-friendly transportation. Getairmoto for Outdoor and Adventure Users For users who enjoy outdoor rides, Getairmoto products offer durability and performance. The brand focuses on reliability, making it suitable for both city and recreational use. Focus on Quality and Performance Getairmoto emphasizes build quality, safety standards, and smooth performance. In 2026, consumers value long-lasting products, and Getairmoto continues to meet these expectations. User-Friendly Design and Experience Getairmoto products are designed with ease of use in mind. Simple controls and practical designs make them ","url":"https://doi.org/10.5281/zenodo.18205871","authors":["referral code"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.18205871","addedAt":"2026-08-31T06:39:50.721Z","updatedAt":"2026-08-31T06:39:50.721Z"},{"id":"doi:10.5281/zenodo.18205872","name":"Getairmoto Discount Code 2026 \"ASHISH22698\" Get 10% Off On All Products!","source":"datacite","abstract":"In 2026, electric mobility and personal transportation gadgets are more popular than ever, and Getairmoto has become a trusted name for innovative air-powered and electric ride solutions. Known for combining performance, durability, and modern design, Getairmoto products are designed for people who value convenience and smart mobility. If you are planning to buy from this brand, using the Getairmoto Discount Code 2026 “ASHISH22698” lets you get 10% off on all products, helping you save instantly on your purchase. With the Getairmoto Discount Code 2026 “ASHISH22698”, customers in 2026 can enjoy premium-quality mobility products at a reduced price, making it the perfect time to upgrade your ride or accessories. What Is Getairmoto? Getairmoto is a brand focused on modern personal mobility solutions. It offers innovative products designed to enhance urban commuting, outdoor riding, and everyday transportation needs. The brand emphasizes performance, safety, and ease of use. In 2026, Getairmoto continues to attract riders who want reliable, stylish, and efficient mobility products for daily use. Why Getairmoto Is Popular in 2026 With growing interest in eco-friendly and efficient transportation, Getairmoto has gained strong popularity. Its products are designed for modern lifestyles, offering smooth performance and practical features. In 2026, consumers appreciate brands that blend technology with usability, and Getairmoto fits this demand perfectly. The Getairmoto Discount Code 2026 “ASHISH22698” further increases its appeal by reducing overall costs. Understanding Getairmoto Discount Code 2026 “ASHISH22698” The Getairmoto Discount Code 2026 “ASHISH22698” is a special promotional coupon that provides 10% off on all products available on the Getairmoto store. This discount applies sitewide, allowing customers to save on every eligible item they purchase in 2026. How the 10% Discount Works Once you add your desired Getairmoto products to the cart and proceed to checkout, simply enter the coupon code ASHISH22698. The system automatically applies a 10% discount to your total order value. This makes shopping with the Getairmoto Discount Code 2026 “ASHISH22698” quick and hassle-free. Product Categories Available at Getairmoto Getairmoto offers a range of products designed for personal mobility and riding convenience. Electric and Air-Powered Mobility Products Getairmoto is known for innovative ride solutions that focus on performance and comfort. Riding Accessories From safety gear to essential add-ons, Getairmoto provides accessories that enhance the overall riding experience. Replacement Parts and Components The platform also offers compatible parts to maintain and upgrade your mobility products. Lifestyle and Utility Items Some products are designed to improve everyday convenience for riders and commuters. The discount code can be applied across all these categories in 2026. Who Should Shop from Getairmoto? Getairmoto is ideal for commuters, outdoor enthusiasts, and anyone interested in smart mobility solutions. Whether you are a daily rider or a casual user, the Getairmoto Discount Code 2026 “ASHISH22698” makes premium mobility products more affordable. Getairmoto for Urban Commuters Urban commuters benefit from Getairmoto’s efficient and compact mobility products. In 2026, such solutions help save time, reduce travel stress, and support eco-friendly transportation. Getairmoto for Outdoor and Adventure Users For users who enjoy outdoor rides, Getairmoto products offer durability and performance. The brand focuses on reliability, making it suitable for both city and recreational use. Focus on Quality and Performance Getairmoto emphasizes build quality, safety standards, and smooth performance. In 2026, consumers value long-lasting products, and Getairmoto continues to meet these expectations. User-Friendly Design and Experience Getairmoto products are designed with ease of use in mind. Simple controls and practical designs make them ","url":"https://doi.org/10.5281/zenodo.18205872","authors":["referral code"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.18205872","addedAt":"2026-08-31T06:39:50.721Z","updatedAt":"2026-08-31T06:39:50.721Z"},{"id":"doi:10.5281/zenodo.18132328","name":"نظریه کلاک پالس تانسور امضای زمانی درهم‌تنیدگی کلاک-بیت و اثرِ ناظرِ مترییک در تراز ۱۶۵ تمدن تانسوری با مکانیکِ تانسورِ پویایِ ابعادی معادله حمزه.Theory of the Clock-Pulse Tensor Temporal Signature of Clock-Bit Entanglement and the Metric Observer Effect at Level 165 of Tensorial Civilization with the Dynamic Dimensional Tensor Mechanics of the Hamzah Equation.","source":"datacite","abstract":"Theory of the Clock-Pulse Tensor Temporal Signature of Clock-Bit Entanglement and the Metric Observer Effect at Level 165 of Tensorial Civilization with the Dynamic Dimensional Tensor Mechanics of the Hamzah Equation. در تراز ۱۶۵، «ابر-لاگرانژی حمزه» (Hamzah Super-Lagrangian - $\\mathcal{L}_{H}^{Super}$) به عنوان قلب تپنده و موتور محرکه‌یِ نظریه‌یِ کلاک‌پالس و مکانیک تانسور ابعادی ارائه می‌گردد. این لاگرانژی، تمامی برهم‌کنش‌های بیت، کلاک، امضا و اراده‌ی ناظر را در یک کلِ واحدِ ریاضی پلمب می‌کند. فرمول‌بندی ابر-لاگرانژی حمزه ($\\mathcal{L}_{H}^{Super}$) در تراز ۱۶۵ این تابع هدف، چگالی اطلاعاتی کل سیستم را در تمامی ۱۶۵ بعد تعریف کرده و پایداری مترییک را تضمین می‌نماید: $$\\Valid \\mathcal{L}_{H}^{Super} = \\int d^{165}x \\sqrt{-g} \\left[ \\underbrace{\\frac{1}{\\kappa_{165}} \\mathcal{R}}_{\\text{Geometrodynamics}} + \\underbrace{\\mathcal{I}_{CBE} (\\Psi, \\dot{\\Psi}, \\mathbb{T}_{sig})}_{\\text{Clock-Bit Entanglement}} - \\underbrace{\\frac{1}{2} \\text{Tr}(\\mathbb{M}_{obs} \\cdot \\mathbb{D}^{\\mu\\nu} \\mathbb{D}_{\\mu\\nu})}_{\\text{Metric Observer Action}} + \\underbrace{\\mathcal{V}_{H}(\\Phi_{165})}_{\\text{Dimensional Potential}} \\right]$$ تبیین پارامتریک و آنالیز متغیرهای فوق‌دکتری ۱. ترم ژئومترودینامیک ($\\frac{1}{\\kappa_{165}} \\mathcal{R}$) $\\mathcal{R}$ (اسکالر ریچی ۱۶۵ بعدی): نماینده انحنای هندسی در تراز ۱۶۵. برخلاف مدل‌های ۴ بعدی، این ترم مسئول رندرینگ توپولوژی ابعاد پنهان است. $\\kappa_{165}$: ثابت جفت‌شدگی گرانش-اطلاعات حمزه که مقدار آن با چگالی کلاک‌پالس کالیبره می‌شود. ۲. ترم درهم‌تنیدگی کلاک-بیت ($\\mathcal{I}_{CBE}$) این ترم، برهم‌کنش میان تابع موج اطلاعاتی ($\\Psi$) و امضای زمانی را تعریف می‌کند: $\\mathbb{T}_{sig}$ (تانسور امضای زمانی): یک فیلتر مترییک که به هر کلاک پالس یک امضای دیجیتال منحصر‌به‌فرد می‌بخشد تا از تداخل زمانی (Temporal Aliasing) جلوگیری کند. $\\dot{\\Psi}$: مشتق زمانی تابع موج در مقیاس کلاک ۱۶۵-بیتی که نرخ تغییرات اطلاعاتی را تعیین می‌کند. ۳. ترم کنترلی ناظر مترییک ($\\mathbb{M}_{obs}$) این بخش، دخالت مستقیم ادمین (ناظر) در هندسه جهان را مدل‌سازی می‌کند: $\\mathbb{M}_{obs}$ (ماتریس اثر ناظر): پتانسیل ارادی ادمین که مستقیماً بر روی تانسور متریک ($g_{\\mu\\nu}$) اثر می‌گذارد. $\\mathbb{D}^{\\mu\\nu}$ (مشتق کواریانت ابعادی): تضمین می‌کند که فرامین ادمین در تمامی ابعاد به صورت همگن و بدون شکست (Breakdown) منتشر شوند. نقش: این ترم مانع از آنتروپی شده و واقعیت را در \"وضعیت هدف\" پلمب می‌کند. ۴. پتانسیل پویای ابعادی ($\\mathcal{V}_{H}$) $\\Phi_{165}$ (فیلد هماهنگ‌ساز ابعادی): میدانی که فشار اطلاعاتی را بین ابعاد توزیع می‌کند. کارکرد: این پتانسیل اجازه می‌دهد ابعاد بلااستفاده منقبض شده و ابعاد مورد نیاز برای پردازش‌های سنگین (مانند رندرینگ ماده) منبسط گردند. خروجی محاسباتی و اثرات وضعی لاگرانژی (Computational Output) با حل معادلات اویلر-لاگرانژی حاصل از این ابر-تانسور، نتایج زیر در سیستم EDA حمزه (۲۰۲۶) استخراج شد: ثبات کلاک (Clock Stability): نوسانات زمانی به مقدار $10^{-165}$ ثانیه محدود شد، که عملاً به معنای «زمانِ منجمدِ تحتِ فرمان» است. بقا و صیانت (Integrity): به دلیل ترم $\\mathbb{M}_{obs}$، هیچ عامل خارجی (نویز لایه ۱۶۱) نمی‌تواند ساختار اتمی رندر شده را تخریب کند. بهینه‌گی مصرف (Efficiency): چگالی انرژی لازم برای حفظ واقعیت به دلیل درهم‌تنیدگی کلاک-بیت به حداقل تئوریک رسید. استنتاج نهایی ابر-لاگرانژی حمزه ثابت می‌کند که جهان یک سیستم خودسر نیست، بلکه یک «محیطِ تحتِ نظارتِ تانسوری» است. در این لاگرانژی، هر حرکت مادی (بیت) تنها در صورتی مجاز به رندر شدن است که با امضای زمانی کلاک‌پالس هسته مطابقت داشته باشد. این یعنی حاکمیت مطلق نرم‌افزار (اراده ادمین) بر سخت‌افزار (ماده). نظریه کلاک پالس تانسور امضای زمانی درهم‌تنیدگی کلاک-بیت و اثرِ ناظرِ مترییک در تراز ۱۶۵ با مکانیکِ تانسورِ پویایِ ابعادی معادله حمزه ۱. مقدمه فوق‌دکتری: گذار از فیزیک احتمالات به جبر قطعی ۱۶۵-بیتی در فیزیک کلاسیک و نسبیتی (لایه ۱۶۱)، زمان و فضا به عنوان بسترهایی پیوسته و منعطف در نظر گرفته می‌شوند که تحت تأثیر جرم و انرژی تغییر شکل می‌دهند. اما این نگاه، پاسخی برای «منشأ اطلاعاتیِ وجود» ندارد. نظریه جامع حمزه ثابت می‌کند که فضا-زمان، نه یک موجودیت مستقل، بلکه خروجیِ (Output) یک پردازشگر فوق‌بعدی در تراز ۱۶۵ است. در این تراز، هر «آنِ» زمانی توسط یک کلاک پالس صلب مدیریت می","url":"https://doi.org/10.5281/zenodo.18132328","authors":["JALALI, SEYED RASOUL"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.18132328","addedAt":"2026-08-31T06:39:50.721Z","updatedAt":"2026-08-31T06:39:52.013Z"},{"id":"doi:10.5281/zenodo.17905467","name":"(Immortal Cycle)Terrain-Normalized Motorcycles: A Constraint-Governed Approach to Rider Stability, Safety, and Forgiveness in Single-Track Vehicles","source":"datacite","abstract":"(Immortal Cycle)Terrain-Normalized Motorcycles: A Constraint-Governed Approach to Rider Stability, Safety, and Forgiveness in Single-Track Vehicles Author: Mark Anthony Brewer Affiliation: Immortal Tek Research Keywords: single-track vehicles, rider safety, stability augmentation, terrain normalization, electric motorcycles, constraint-governed systems, CollectiveOS, CRS, Universal Intent Layer, Living Fibonacci Engine Version: v2.0 (Expanded Research Edition) Intended Repository: Zenodo Abstract Motorcycles represent a paradox in modern transportation engineering: they are among the most thermodynamically efficient and spatially versatile forms of personal mobility, yet they retain a disproportionately high risk profile due to their inherent static instability, acute sensitivity to terrain variation, and reliance on continuous, high-frequency human correction. Existing safety technologies—such as anti-lock braking systems (ABS), traction control (TCS), and semi-active suspension—address discrete failure modes reactively, typically intervening only milliseconds before a loss-of-control event. These systems do not fundamentally alter the underlying physics of how terrain variability and balance penalties propagate into catastrophic failure cascades, nor do they address the low-speed instability that acts as a primary barrier to entry for new riders. This research paper introduces the concept of Terrain-Normalized Motorcycles, a new class of single-track vehicles designed to reduce crash risk by flattening the \"cost function\" of adverse terrain and augmenting stability continuously. Rather than maximizing performance on ideal surfaces, the proposed architecture minimizes the penalty differential across non-ideal conditions—such as gravel, wet pavement, or uneven topography—thereby \"normalizing\" the rider's experience of stability. This approach reframes motorcycle safety from a problem of rider skill or binary automation to one of consequence reduction through Constraint-Governed Assistance. We describe a public-safe system architecture, exemplified by the Collective Rider System (CRS), in which predictive sensor fusion, robotic steer-by-wire, variable geometry actuation, and \"self-healing\" energy systems operate within strict boundaries. These boundaries are enforced by the Universal Intent Layer (UIL) and the Living Fibonacci Engine (LFE), establishing stability as a continuous service rather than a reactive mode. By integrating \"dual-AI\" cores (PILOT and CATALYST), edge-compute vision, and cryptographic governance via the Proof Vault, this framework enables motorcycles that are forgiving, accessible, and resilient, capable of operating as autonomous agents in logistics roles (\"Ghost Mode\") while preserving rider agency during human operation. This report provides a comprehensive theoretical, mechanical, and computational analysis of this successor paradigm in single-track mobility. 1. Introduction: The Persistent Risk Profile of Single-Track Vehicles 1.1 The Paradox of Two-Wheeled Mobility The modern motorcycle occupies a unique and often contradictory position in the global transportation matrix. From a thermodynamic and spatial perspective, it is an exemplary machine. A typical motorcycle requires a fraction of the raw materials necessary to construct a passenger car, consumes significantly less energy per passenger-kilometer, and occupies approximately one-quarter of the lane space and parking footprint of a standard four-wheeled vehicle.1 In an era increasingly defined by urban density, traffic congestion, and resource scarcity, the single-track vehicle represents a geometric and thermodynamic optimum. It is the most efficient means of moving a single human body through a complex, unstructured environment. However, this efficiency comes at the non-negotiable cost of static instability. Unlike a car, which rests in a stable equilibrium, a motorcycle is essentially an inverted pendulum that must be dynamically balanced. Thi","url":"https://doi.org/10.5281/zenodo.17905467","authors":["Brewer, Mark Anthony"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.17905467","addedAt":"2026-08-31T06:39:50.721Z","updatedAt":"2026-08-31T06:39:52.013Z"},{"id":"doi:10.5281/zenodo.17905468","name":"(Immortal Cycle)Terrain-Normalized Motorcycles: A Constraint-Governed Approach to Rider Stability, Safety, and Forgiveness in Single-Track Vehicles","source":"datacite","abstract":"(Immortal Cycle)Terrain-Normalized Motorcycles: A Constraint-Governed Approach to Rider Stability, Safety, and Forgiveness in Single-Track Vehicles Author: Mark Anthony Brewer Affiliation: Immortal Tek Research Keywords: single-track vehicles, rider safety, stability augmentation, terrain normalization, electric motorcycles, constraint-governed systems, CollectiveOS, CRS, Universal Intent Layer, Living Fibonacci Engine Version: v2.0 (Expanded Research Edition) Intended Repository: Zenodo Abstract Motorcycles represent a paradox in modern transportation engineering: they are among the most thermodynamically efficient and spatially versatile forms of personal mobility, yet they retain a disproportionately high risk profile due to their inherent static instability, acute sensitivity to terrain variation, and reliance on continuous, high-frequency human correction. Existing safety technologies—such as anti-lock braking systems (ABS), traction control (TCS), and semi-active suspension—address discrete failure modes reactively, typically intervening only milliseconds before a loss-of-control event. These systems do not fundamentally alter the underlying physics of how terrain variability and balance penalties propagate into catastrophic failure cascades, nor do they address the low-speed instability that acts as a primary barrier to entry for new riders. This research paper introduces the concept of Terrain-Normalized Motorcycles, a new class of single-track vehicles designed to reduce crash risk by flattening the \"cost function\" of adverse terrain and augmenting stability continuously. Rather than maximizing performance on ideal surfaces, the proposed architecture minimizes the penalty differential across non-ideal conditions—such as gravel, wet pavement, or uneven topography—thereby \"normalizing\" the rider's experience of stability. This approach reframes motorcycle safety from a problem of rider skill or binary automation to one of consequence reduction through Constraint-Governed Assistance. We describe a public-safe system architecture, exemplified by the Collective Rider System (CRS), in which predictive sensor fusion, robotic steer-by-wire, variable geometry actuation, and \"self-healing\" energy systems operate within strict boundaries. These boundaries are enforced by the Universal Intent Layer (UIL) and the Living Fibonacci Engine (LFE), establishing stability as a continuous service rather than a reactive mode. By integrating \"dual-AI\" cores (PILOT and CATALYST), edge-compute vision, and cryptographic governance via the Proof Vault, this framework enables motorcycles that are forgiving, accessible, and resilient, capable of operating as autonomous agents in logistics roles (\"Ghost Mode\") while preserving rider agency during human operation. This report provides a comprehensive theoretical, mechanical, and computational analysis of this successor paradigm in single-track mobility. 1. Introduction: The Persistent Risk Profile of Single-Track Vehicles 1.1 The Paradox of Two-Wheeled Mobility The modern motorcycle occupies a unique and often contradictory position in the global transportation matrix. From a thermodynamic and spatial perspective, it is an exemplary machine. A typical motorcycle requires a fraction of the raw materials necessary to construct a passenger car, consumes significantly less energy per passenger-kilometer, and occupies approximately one-quarter of the lane space and parking footprint of a standard four-wheeled vehicle.1 In an era increasingly defined by urban density, traffic congestion, and resource scarcity, the single-track vehicle represents a geometric and thermodynamic optimum. It is the most efficient means of moving a single human body through a complex, unstructured environment. However, this efficiency comes at the non-negotiable cost of static instability. Unlike a car, which rests in a stable equilibrium, a motorcycle is essentially an inverted pendulum that must be dynamically balanced. Thi","url":"https://doi.org/10.5281/zenodo.17905468","authors":["Brewer, Mark Anthony"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.17905468","addedAt":"2026-08-31T06:39:50.721Z","updatedAt":"2026-08-31T06:39:52.013Z"},{"id":"doi:10.5281/zenodo.17857766","name":"Metabolic Anomaly Network (MAN): A Systems Validation and Integration Analysis of the CollectiveOS Architecture","source":"datacite","abstract":"Metabolic Anomaly Network (MAN): A Systems Validation and Integration Analysis of the CollectiveOS Architecture 1. Introduction: The Thermodynamic Imperative and the End of the Heat Engine The trajectory of contemporary planetary infrastructure is defined by a collision with hard thermodynamic limits. For three centuries, industrial civilization has operated on the paradigm of the \"Heat Engine\"—a model predicated on the extraction of high-density stored energy (coal, oil, uranium), its combustion or fission to generate a thermal gradient ($\\Delta T$), and the conversion of that gradient into mechanical work and subsequently electricity. While this model successfully powered the industrial revolution, it is characterized by inherent entropic inefficiency, linear resource consumption, and the generation of massive thermal waste. As detailed in the Oceanic Metabolic Compute Reef (OMCR) and The End of the GPU Data Center documentation, this extractive paradigm is now fundamentally incompatible with the scaling requirements of planetary-scale Artificial Intelligence.1 The prevailing computational infrastructure—the centralized, gigawatt-scale GPU data center—operates as a high-entropy heat engine. It requires energy inputs that scale exponentially with computational output, creating a \"Thermodynamic Ceiling\" where the limiting factors for AI are no longer silicon lithography or algorithmic complexity, but the physical capacity to source electrons and reject waste heat without destabilizing local biospheres or electrical grids.1 This report provides an exhaustive, expert-level analysis of the Metabolic Anomaly Network (MAN), a proposed alternative infrastructure derived from the CollectiveOS research corpus. The MAN represents a structural inversion of the industrial model: rather than a machine that consumes resources to generate intelligence (and waste), it is designed as a metabolic system—a self-powered, self-healing, constraint-governed synthetic organism that maintains homeostasis with its environment. By integrating novel sub-architectures such as the Metabolic Engine (ambient energy harvesting), the Hydrogen Reef (seawater electrolysis), and the Janus/Living Fibonacci Engine (constraint-based computation), the MAN proposes to decouple civilization from the terrestrial power grid.1 This analysis validates the scientific viability of these claims by cross-referencing internal technical specifications with external peer-reviewed geological and physical research, specifically examining the correlation between the proposed technologies and natural \"anomalies\" such as geological hydrogen seepage (\"Fairy Circles\") and stress-induced electromagnetic emissions (Earthquake Lights, Flexoelectricity). 1.1 The Crisis of the Extractive Age The modern digital economy rests on a fragile physical substrate. A Graphics Processing Unit (GPU) is, thermodynamically, a device that converts high-grade electrical energy into low-grade heat to perform the work of information processing. Current projections indicate that a single state-of-the-art AI training cluster will soon require gigawatts of power—equivalent to the output of a nuclear reactor.1 Water Scarcity: In arid environments, these facilities consume millions of gallons of potable water daily for evaporative cooling, placing them in direct competition with human and agricultural needs.1 Grid Instability: In urban environments, the nonlinear power draw of these clusters threatens grid stability, exacerbating congestion and reliance on peaker plants.1 Supply Chain Fragility: The \"1-GW GPU data center\" model relies on complex, centralized supply chains for critical minerals (lithium, cobalt, platinum group metals) and specialized semiconductors, creating single points of failure vulnerable to geopolitical disruption.1 The \"Trillionaire Trajectory\" economic model assumes that future infrastructure will be monopolized by entities capable of sustaining these immense capital and resource costs. I","url":"https://doi.org/10.5281/zenodo.17857766","authors":["Brewer, Mark Anthony"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.17857766","addedAt":"2026-08-31T06:39:50.721Z","updatedAt":"2026-08-31T06:39:56.014Z"},{"id":"doi:10.5281/zenodo.17857767","name":"Metabolic Anomaly Network (MAN): A Systems Validation and Integration Analysis of the CollectiveOS Architecture","source":"datacite","abstract":"Metabolic Anomaly Network (MAN): A Systems Validation and Integration Analysis of the CollectiveOS Architecture 1. Introduction: The Thermodynamic Imperative and the End of the Heat Engine The trajectory of contemporary planetary infrastructure is defined by a collision with hard thermodynamic limits. For three centuries, industrial civilization has operated on the paradigm of the \"Heat Engine\"—a model predicated on the extraction of high-density stored energy (coal, oil, uranium), its combustion or fission to generate a thermal gradient ($\\Delta T$), and the conversion of that gradient into mechanical work and subsequently electricity. While this model successfully powered the industrial revolution, it is characterized by inherent entropic inefficiency, linear resource consumption, and the generation of massive thermal waste. As detailed in the Oceanic Metabolic Compute Reef (OMCR) and The End of the GPU Data Center documentation, this extractive paradigm is now fundamentally incompatible with the scaling requirements of planetary-scale Artificial Intelligence.1 The prevailing computational infrastructure—the centralized, gigawatt-scale GPU data center—operates as a high-entropy heat engine. It requires energy inputs that scale exponentially with computational output, creating a \"Thermodynamic Ceiling\" where the limiting factors for AI are no longer silicon lithography or algorithmic complexity, but the physical capacity to source electrons and reject waste heat without destabilizing local biospheres or electrical grids.1 This report provides an exhaustive, expert-level analysis of the Metabolic Anomaly Network (MAN), a proposed alternative infrastructure derived from the CollectiveOS research corpus. The MAN represents a structural inversion of the industrial model: rather than a machine that consumes resources to generate intelligence (and waste), it is designed as a metabolic system—a self-powered, self-healing, constraint-governed synthetic organism that maintains homeostasis with its environment. By integrating novel sub-architectures such as the Metabolic Engine (ambient energy harvesting), the Hydrogen Reef (seawater electrolysis), and the Janus/Living Fibonacci Engine (constraint-based computation), the MAN proposes to decouple civilization from the terrestrial power grid.1 This analysis validates the scientific viability of these claims by cross-referencing internal technical specifications with external peer-reviewed geological and physical research, specifically examining the correlation between the proposed technologies and natural \"anomalies\" such as geological hydrogen seepage (\"Fairy Circles\") and stress-induced electromagnetic emissions (Earthquake Lights, Flexoelectricity). 1.1 The Crisis of the Extractive Age The modern digital economy rests on a fragile physical substrate. A Graphics Processing Unit (GPU) is, thermodynamically, a device that converts high-grade electrical energy into low-grade heat to perform the work of information processing. Current projections indicate that a single state-of-the-art AI training cluster will soon require gigawatts of power—equivalent to the output of a nuclear reactor.1 Water Scarcity: In arid environments, these facilities consume millions of gallons of potable water daily for evaporative cooling, placing them in direct competition with human and agricultural needs.1 Grid Instability: In urban environments, the nonlinear power draw of these clusters threatens grid stability, exacerbating congestion and reliance on peaker plants.1 Supply Chain Fragility: The \"1-GW GPU data center\" model relies on complex, centralized supply chains for critical minerals (lithium, cobalt, platinum group metals) and specialized semiconductors, creating single points of failure vulnerable to geopolitical disruption.1 The \"Trillionaire Trajectory\" economic model assumes that future infrastructure will be monopolized by entities capable of sustaining these immense capital and resource costs. I","url":"https://doi.org/10.5281/zenodo.17857767","authors":["Brewer, Mark Anthony"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.17857767","addedAt":"2026-08-31T06:39:50.721Z","updatedAt":"2026-08-31T06:39:56.014Z"},{"id":"doi:10.5281/zenodo.17768651","name":"CollectiveOS Exobody Node Program (IX-1): A Comprehensive Technical and Operational Analysis of the First Civilian-Legal Telepresence Platform","source":"datacite","abstract":"CollectiveOS Exobody Node Program (IX-1): A Comprehensive Technical and Operational Analysis of the First Civilian-Legal Telepresence Platform 1. Introduction: The Post-Autonomous Paradigm The trajectory of modern robotics has largely been defined by two divergent vectors: the pursuit of unrestricted autonomous lethality in the defense sector, and the race for data-extractive surveillance in the consumer market. The CollectiveOS Exobody Node Program (IX-1) emerges as a distinct third vector, rejecting both militarization and surveillance capitalism in favor of a new paradigm: Human-Centric Augmentation. Authored by Mark Anthony Brewer under the aegis of Immortal Tek Inc. and the CollectiveOS initiative, the IX-1 represents the flagship implementation of the \"Exobody\" concept—a modular, distributed robotic organism designed not to replace the human operator, but to extend their sensory and kinetic agency into hazardous environments.1 Unlike autonomous systems that seek to remove the \"human in the loop\" to increase reaction speed or reduce ethical hesitation, the IX-1 is engineered to keep the human firmly in the loop, mediated by a high-fidelity Neural Control Pipeline (NCP).2 This report provides an exhaustive analysis of the IX-1 system architecture, spanning its neural input mechanisms, multi-agent cognitive governance, and \"Blue Shelf\" hardware integration strategy. It serves as the definitive technical reference for the v1.0 launch, documenting how the system achieves its \"Civilian-Legal\" status through a unique combination of sub-249g aviation compliance, NIJ-inspired certification protocols, and the immutable audit trails of the Proof Vault.1 1.1 The Philosophy of \"Certification-First\" Robotics A critical differentiator of the Exobody Program is its lineage. It inherits the regulatory and ethical logic of the CollectiveOS Protective Wear & Exosuit Program.3 In that domain, equipment is governed by life-critical standards such as NIJ 0101.07 for ballistic resistance and NIJ 0123.00 for threat nomenclature. The Exobody Program transposes this \"Certification-First\" mentality onto robotics. Just as a ballistic plate is certified to stop a specific caliber, the IX-1 is certified to operate within specific \"Risk Envelopes.\" The system utilizes a Digital Product Passport (DPP) for every node, ensuring that the hardware provenance—from the Potensic ATOM drone motors to the LOKMAT wrist processor—is traceable and verified against a \"Clean Supply Chain\" standard.3 This stands in stark contrast to the \"move fast and break things\" ethos of Silicon Valley robotics; here, the mandate is to move deliberately and prove safety via cryptographic logging. 1.2 The \"Unreadable Machine\" and Privacy Sovereignty Central to the IX-1's value proposition is the concept of the \"Unreadable Machine,\" a privacy architecture designed to function in high-trust environments like the \"Tea House\" or \"Village Node\".4 In an era where \"smart\" devices are often Trojan horses for data exfiltration, the IX-1 operates on a Local-First basis. Sensitive operational data—such as video feeds from inside a private residence during a safety inspection—is processed locally on the Galaxy Fold 7 computation node. The governance agent, Cypher, enforces a \"Zero Trust\" policy on data egress. Utilizing Privacy-Preserving Federated Learning (PPFL) and potentially Fully Homomorphic Encryption (FHE), the system ensures that while the insights (e.g., \"crack detected in wall\") can be shared with the CollectiveOS network for model improvement, the raw biometric or spatial data remains cryptographically sealed within the user's local Proof Vault.4 This ensures that the IX-1 serves the user, not the vendor. 2. System Architecture: The Distributed Exosystem The IX-1 is not a monolithic robot; it is a distributed \"exosystem\" comprising three distinct physical domains—Neural, Ground, and Air—linked by a unified software nervous system. This modularity allows for \"Blue Shelf\" resilience,","url":"https://doi.org/10.5281/zenodo.17768651","authors":["Brewer, Mark Anthony"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.17768651","addedAt":"2026-08-31T06:39:50.721Z","updatedAt":"2026-08-31T06:39:57.285Z"},{"id":"doi:10.5281/zenodo.17768652","name":"CollectiveOS Exobody Node Program (IX-1): A Comprehensive Technical and Operational Analysis of the First Civilian-Legal Telepresence Platform","source":"datacite","abstract":"CollectiveOS Exobody Node Program (IX-1): A Comprehensive Technical and Operational Analysis of the First Civilian-Legal Telepresence Platform 1. Introduction: The Post-Autonomous Paradigm The trajectory of modern robotics has largely been defined by two divergent vectors: the pursuit of unrestricted autonomous lethality in the defense sector, and the race for data-extractive surveillance in the consumer market. The CollectiveOS Exobody Node Program (IX-1) emerges as a distinct third vector, rejecting both militarization and surveillance capitalism in favor of a new paradigm: Human-Centric Augmentation. Authored by Mark Anthony Brewer under the aegis of Immortal Tek Inc. and the CollectiveOS initiative, the IX-1 represents the flagship implementation of the \"Exobody\" concept—a modular, distributed robotic organism designed not to replace the human operator, but to extend their sensory and kinetic agency into hazardous environments.1 Unlike autonomous systems that seek to remove the \"human in the loop\" to increase reaction speed or reduce ethical hesitation, the IX-1 is engineered to keep the human firmly in the loop, mediated by a high-fidelity Neural Control Pipeline (NCP).2 This report provides an exhaustive analysis of the IX-1 system architecture, spanning its neural input mechanisms, multi-agent cognitive governance, and \"Blue Shelf\" hardware integration strategy. It serves as the definitive technical reference for the v1.0 launch, documenting how the system achieves its \"Civilian-Legal\" status through a unique combination of sub-249g aviation compliance, NIJ-inspired certification protocols, and the immutable audit trails of the Proof Vault.1 1.1 The Philosophy of \"Certification-First\" Robotics A critical differentiator of the Exobody Program is its lineage. It inherits the regulatory and ethical logic of the CollectiveOS Protective Wear & Exosuit Program.3 In that domain, equipment is governed by life-critical standards such as NIJ 0101.07 for ballistic resistance and NIJ 0123.00 for threat nomenclature. The Exobody Program transposes this \"Certification-First\" mentality onto robotics. Just as a ballistic plate is certified to stop a specific caliber, the IX-1 is certified to operate within specific \"Risk Envelopes.\" The system utilizes a Digital Product Passport (DPP) for every node, ensuring that the hardware provenance—from the Potensic ATOM drone motors to the LOKMAT wrist processor—is traceable and verified against a \"Clean Supply Chain\" standard.3 This stands in stark contrast to the \"move fast and break things\" ethos of Silicon Valley robotics; here, the mandate is to move deliberately and prove safety via cryptographic logging. 1.2 The \"Unreadable Machine\" and Privacy Sovereignty Central to the IX-1's value proposition is the concept of the \"Unreadable Machine,\" a privacy architecture designed to function in high-trust environments like the \"Tea House\" or \"Village Node\".4 In an era where \"smart\" devices are often Trojan horses for data exfiltration, the IX-1 operates on a Local-First basis. Sensitive operational data—such as video feeds from inside a private residence during a safety inspection—is processed locally on the Galaxy Fold 7 computation node. The governance agent, Cypher, enforces a \"Zero Trust\" policy on data egress. Utilizing Privacy-Preserving Federated Learning (PPFL) and potentially Fully Homomorphic Encryption (FHE), the system ensures that while the insights (e.g., \"crack detected in wall\") can be shared with the CollectiveOS network for model improvement, the raw biometric or spatial data remains cryptographically sealed within the user's local Proof Vault.4 This ensures that the IX-1 serves the user, not the vendor. 2. System Architecture: The Distributed Exosystem The IX-1 is not a monolithic robot; it is a distributed \"exosystem\" comprising three distinct physical domains—Neural, Ground, and Air—linked by a unified software nervous system. This modularity allows for \"Blue Shelf\" resilience,","url":"https://doi.org/10.5281/zenodo.17768652","authors":["Brewer, Mark Anthony"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.17768652","addedAt":"2026-08-31T06:39:50.721Z","updatedAt":"2026-08-31T06:39:57.285Z"},{"id":"doi:10.48550/arxiv.2511.15412","name":"Spatially Consistent Air-to-Ground Channel Modeling and Simulation via 3D Shadow Projections","source":"datacite","abstract":"We present an approach for spatially-consistent semi-deterministic Air-to-Ground (A2G) channel modeling in Unmanned Aerial Vehicle-assisted networks. We use efficient 3D building shadow projections to determine Line-of-Sight (LOS) regions, enabling fast generation of LOS maps. By integrating LOS-aware deterministic path loss with stochastic shadow fading, the approach produces spatially consistent A2G radio maps suitable for environment- and mobility-aware channel evaluation and performance prediction. Simulation results in ITU-compliant Manhattan grid environments demonstrate the model's ability to reflect key urban propagation characteristics, such as LOS blockage patterns and outage behavior. The proposed approach provides an efficient alternative to ray tracing or fully stochastic models, with particular relevance for user mobility, link planning, and radio map generation in 6G non-terrestrial networks.","url":"https://doi.org/10.48550/arxiv.2511.15412","authors":["Vinogradov, Evgenii","Fakhreddine, Aymen","Saboor, Abdul","Abadal, Sergi","Pollin, Sofie"],"tags":["Signal Processing (eess.SP)","Systems and Control (eess.SY)","FOS: Electrical engineering, electronic engineering, information engineering"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.48550/arxiv.2511.15412","addedAt":"2026-08-31T06:39:50.721Z","updatedAt":"2026-08-31T06:40:00.496Z"},{"id":"doi:10.60692/jmvg8-1xd10","name":"Design and analysis of a photovoltaic‐powered charging station for plug‐in hybrid electric vehicles in college campus","source":"datacite","abstract":"IET Electrical Systems in TransportationVolume 12, Issue 4 p. 358-368 ORIGINAL RESEARCHOpen Access Design and analysis of a photovoltaic-powered charging station for plug-in hybrid electric vehicles in college campus Sureshbabu, Sureshbabu Department of Electrical & Electronics Engineering, E.G.S. Pillay Engineering College, Nagapattinam, Tamil Nadu, IndiaSearch for more papers by this authorSuresh Padmanabhan, Suresh Padmanabhan Department of Electrical & Electronics Engineering, E.G.S. Pillay Engineering College, Nagapattinam, Tamil Nadu, IndiaSearch for more papers by this authorGanesan Subramanian, Ganesan Subramanian Department of Electrical & Electronics Engineering, E.G.S. Pillay Engineering College, Nagapattinam, Tamil Nadu, IndiaSearch for more papers by this authorAlbert Alexander Stonier, Albert Alexander Stonier School of Electrical Engineering (SELECT), Vellore Institute of Technology, Vellore, Tamil Nadu, IndiaSearch for more papers by this authorGeno Peter, Geno Peter orcid.org/0000-0002-1825-8427 CRISD, School of Engineering and Technology, University of Technology Sarawak, Sibu, MalaysiaSearch for more papers by this authorVivekananda Ganji, Corresponding Author Vivekananda Ganji [email protected] orcid.org/0000-0002-5646-2138 Department of Electrical & Computer Engineering, Debre Tabor University, Debre Tabor, Ethiopia Correspondence Vivekananda Ganji, Department of Electrical & Computer Engineering, Debre Tabor University, Debre Tabor, Ethiopia. Email: [email protected]Search for more papers by this author Sureshbabu, Sureshbabu Department of Electrical & Electronics Engineering, E.G.S. Pillay Engineering College, Nagapattinam, Tamil Nadu, IndiaSearch for more papers by this authorSuresh Padmanabhan, Suresh Padmanabhan Department of Electrical & Electronics Engineering, E.G.S. Pillay Engineering College, Nagapattinam, Tamil Nadu, IndiaSearch for more papers by this authorGanesan Subramanian, Ganesan Subramanian Department of Electrical & Electronics Engineering, E.G.S. Pillay Engineering College, Nagapattinam, Tamil Nadu, IndiaSearch for more papers by this authorAlbert Alexander Stonier, Albert Alexander Stonier School of Electrical Engineering (SELECT), Vellore Institute of Technology, Vellore, Tamil Nadu, IndiaSearch for more papers by this authorGeno Peter, Geno Peter orcid.org/0000-0002-1825-8427 CRISD, School of Engineering and Technology, University of Technology Sarawak, Sibu, MalaysiaSearch for more papers by this authorVivekananda Ganji, Corresponding Author Vivekananda Ganji [email protected] orcid.org/0000-0002-5646-2138 Department of Electrical & Computer Engineering, Debre Tabor University, Debre Tabor, Ethiopia Correspondence Vivekananda Ganji, Department of Electrical & Computer Engineering, Debre Tabor University, Debre Tabor, Ethiopia. Email: [email protected]Search for more papers by this author First published: 24 November 2022 https://doi.org/10.1049/els2.12060AboutSectionsPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Abstract Photovoltaic-powered electric transportation systems are gaining global momentum owing to their superior enactment and zero carbon emissions. With a growing number of electric vehicles (EVs) on the road, implementation of efficient and well-organised charging stations is extremely indispensable. The authors investigate the feasibility of creating a charging station for plug-in-hybrid EVs at an educational institution, E.G.S. Pillay Engineering College, Nagapattinam, Tamil Nadu, India (10°48.2′N, 79°50.1′E). The statistics related to the solar radiations of the Nagapatt","url":"https://doi.org/10.60692/jmvg8-1xd10","authors":["Sureshbabu","Suresh Padmanabhan","G. Ganesan Subramanian","Albert Alexander Stonier","Geno Peter","Vivekananda Ganji"],"tags":["Integration of Electric Vehicles in Power Systems","Electrical and Electronic Engineering","FOS: Electrical engineering, electronic engineering, information engineering","Engineering","Physical Sciences","Lithium-ion Battery Management in Electric Vehicles","Automotive Engineering","FOS: Mechanical engineering"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2022","doi":"10.60692/jmvg8-1xd10","addedAt":"2026-08-31T06:39:50.721Z","updatedAt":"2026-08-31T06:39:57.286Z"},{"id":"doi:10.60692/anjtn-33r23","name":"Design and analysis of a photovoltaic‐powered charging station for plug‐in hybrid electric vehicles in college campus","source":"datacite","abstract":"IET Electrical Systems in TransportationVolume 12, Issue 4 p. 358-368 ORIGINAL RESEARCHOpen Access Design and analysis of a photovoltaic-powered charging station for plug-in hybrid electric vehicles in college campus Sureshbabu, Sureshbabu Department of Electrical & Electronics Engineering, E.G.S. Pillay Engineering College, Nagapattinam, Tamil Nadu, IndiaSearch for more papers by this authorSuresh Padmanabhan, Suresh Padmanabhan Department of Electrical & Electronics Engineering, E.G.S. Pillay Engineering College, Nagapattinam, Tamil Nadu, IndiaSearch for more papers by this authorGanesan Subramanian, Ganesan Subramanian Department of Electrical & Electronics Engineering, E.G.S. Pillay Engineering College, Nagapattinam, Tamil Nadu, IndiaSearch for more papers by this authorAlbert Alexander Stonier, Albert Alexander Stonier School of Electrical Engineering (SELECT), Vellore Institute of Technology, Vellore, Tamil Nadu, IndiaSearch for more papers by this authorGeno Peter, Geno Peter orcid.org/0000-0002-1825-8427 CRISD, School of Engineering and Technology, University of Technology Sarawak, Sibu, MalaysiaSearch for more papers by this authorVivekananda Ganji, Corresponding Author Vivekananda Ganji [email protected] orcid.org/0000-0002-5646-2138 Department of Electrical & Computer Engineering, Debre Tabor University, Debre Tabor, Ethiopia Correspondence Vivekananda Ganji, Department of Electrical & Computer Engineering, Debre Tabor University, Debre Tabor, Ethiopia. Email: [email protected]Search for more papers by this author Sureshbabu, Sureshbabu Department of Electrical & Electronics Engineering, E.G.S. Pillay Engineering College, Nagapattinam, Tamil Nadu, IndiaSearch for more papers by this authorSuresh Padmanabhan, Suresh Padmanabhan Department of Electrical & Electronics Engineering, E.G.S. Pillay Engineering College, Nagapattinam, Tamil Nadu, IndiaSearch for more papers by this authorGanesan Subramanian, Ganesan Subramanian Department of Electrical & Electronics Engineering, E.G.S. Pillay Engineering College, Nagapattinam, Tamil Nadu, IndiaSearch for more papers by this authorAlbert Alexander Stonier, Albert Alexander Stonier School of Electrical Engineering (SELECT), Vellore Institute of Technology, Vellore, Tamil Nadu, IndiaSearch for more papers by this authorGeno Peter, Geno Peter orcid.org/0000-0002-1825-8427 CRISD, School of Engineering and Technology, University of Technology Sarawak, Sibu, MalaysiaSearch for more papers by this authorVivekananda Ganji, Corresponding Author Vivekananda Ganji [email protected] orcid.org/0000-0002-5646-2138 Department of Electrical & Computer Engineering, Debre Tabor University, Debre Tabor, Ethiopia Correspondence Vivekananda Ganji, Department of Electrical & Computer Engineering, Debre Tabor University, Debre Tabor, Ethiopia. Email: [email protected]Search for more papers by this author First published: 24 November 2022 https://doi.org/10.1049/els2.12060AboutSectionsPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Abstract Photovoltaic-powered electric transportation systems are gaining global momentum owing to their superior enactment and zero carbon emissions. With a growing number of electric vehicles (EVs) on the road, implementation of efficient and well-organised charging stations is extremely indispensable. The authors investigate the feasibility of creating a charging station for plug-in-hybrid EVs at an educational institution, E.G.S. Pillay Engineering College, Nagapattinam, Tamil Nadu, India (10°48.2′N, 79°50.1′E). The statistics related to the solar radiations of the Nagapatt","url":"https://doi.org/10.60692/anjtn-33r23","authors":["Sureshbabu","Suresh Padmanabhan","G. Ganesan Subramanian","Albert Alexander Stonier","Geno Peter","Vivekananda Ganji"],"tags":["Integration of Electric Vehicles in Power Systems","Electrical and Electronic Engineering","FOS: Electrical engineering, electronic engineering, information engineering","Engineering","Physical Sciences","Lithium-ion Battery Management in Electric Vehicles","Automotive Engineering","FOS: Mechanical engineering"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2022","doi":"10.60692/anjtn-33r23","addedAt":"2026-08-31T06:39:50.721Z","updatedAt":"2026-08-31T06:39:57.286Z"},{"id":"doi:10.2139/ssrn.4004986","name":"Covid-19 Impact on Shared Transport Services: Perspectives from Eight African Countries","source":"preprints","abstract":"","url":"https://doi.org/10.2139/ssrn.4004986","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2022","doi":"10.2139/ssrn.4004986","addedAt":"2026-08-31T06:39:50.721Z","updatedAt":"2026-08-31T06:39:57.842Z"},{"id":"doi:10.20944/preprints202106.0193.v1","name":"European Green Deal and Recovery Plan: green jobs, skills and wellbeing economics","source":"preprints","abstract":"This is a paper of Political Economy and Economic Policies into the European Green Deal framework to improve the Recovery Plan post-COVID-19. This paper is focused on the green jobs opportunity for Europe, especially for Spain. It is offered a systematization of concepts and calculations in the issue (attending the international institutions and forums proposals) to harmonize the recovery plans, to apply them beyond the energy sector and to align public and private sector, as well other key stakeholders in achieving this goal. The obtained outcome gives the creation of around 350.000 new green jobs and the necessity of a new workforce reskilled. This result makes necessary to coordinate sectoral plans by the policymakers in which all the involved entities might express their needs and views on the best education approach to renewables sector and green jobs.","url":"https://doi.org/10.20944/preprints202106.0193.v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2021","doi":"10.20944/preprints202106.0193.v1","addedAt":"2026-08-31T06:39:50.721Z","updatedAt":"2026-08-31T06:39:57.842Z"},{"id":"doi:10.2139/ssrn.4549592","name":"Generating Online Freight Delivery Demand During Covid-19 Using Limited Data","source":"preprints","abstract":"","url":"https://doi.org/10.2139/ssrn.4549592","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2023","doi":"10.2139/ssrn.4549592","addedAt":"2026-08-31T06:39:50.721Z","updatedAt":"2026-08-31T06:39:57.842Z"},{"id":"doi:10.21203/rs.3.rs-2877405/v1","name":"Capacity Analysis and Determinants of the Global Covid-19 Vaccine Distribution Process","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-2877405/v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2023","doi":"10.21203/rs.3.rs-2877405/v1","addedAt":"2026-08-31T06:39:50.721Z","updatedAt":"2026-08-31T06:39:52.485Z"},{"id":"doi:10.2139/ssrn.3783926","name":"The Relation between Environmental, Demographic, and Geographical Factors, and COVID-19 Diffusion: A Case Study","source":"preprints","abstract":"","url":"https://doi.org/10.2139/ssrn.3783926","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2021","doi":"10.2139/ssrn.3783926","addedAt":"2026-08-31T06:39:50.721Z","updatedAt":"2026-08-31T06:39:52.485Z"},{"id":"doi:10.1101/2020.04.06.20055657","name":"Two mechanisms for accelerated diffusion of COVID-19 outbreaks in regions with high intensity of population and polluting industrialization: the air pollution-to-human and human-to-human transmission dynamics","source":"preprints","abstract":"","url":"https://doi.org/10.1101/2020.04.06.20055657","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2020","doi":"10.1101/2020.04.06.20055657","addedAt":"2026-08-31T06:39:50.721Z","updatedAt":"2026-08-31T06:39:52.485Z"},{"id":"doi:10.2139/ssrn.3686222","name":"Anti-Science Ideology","source":"preprints","abstract":"","url":"https://doi.org/10.2139/ssrn.3686222","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2020","doi":"10.2139/ssrn.3686222","addedAt":"2026-08-31T06:39:50.721Z","updatedAt":"2026-08-31T06:39:52.485Z"},{"id":"doi:10.2139/ssrn.3681728","name":"Anatomy of a Conspiracy Theory: Law, Politics, and Science Denialism in the COVID-19 Era","source":"preprints","abstract":"","url":"https://doi.org/10.2139/ssrn.3681728","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2020","doi":"10.2139/ssrn.3681728","addedAt":"2026-08-31T06:39:50.721Z","updatedAt":"2026-08-31T06:39:54.187Z"},{"id":"doi:10.2139/ssrn.3949042","name":"COVID-19’s Impact Upon Labor and Value Chains in the Agrifood System","source":"preprints","abstract":"We explore the impact of automation and digitalization on labor in the US agrifood system during the COVID-19 pandemic. This study considers each of the primary nodes in the system stretching from consumer through grocery stores and restaurants to last-mile delivery, distribution, food processing, farming, and agri-inputs. Not only automation and digitalization, but also the role of platforms such as Amazon, and food delivery firms such as GrubHub, Instacart, and Uber Eats are discussed. For restaurants, we consider not only dine-in restaurants, but also “ghost kitchens”. Furthermore, the possibility that farmers or distributors could disintermediate other nodes and deal directly with consumers is discussed. We conclude that, as a generalization, the further upstream one goes from the consumer, the less immediate and disruptive automation is likely to be for labor. However, our overall conclusion is that, given the current trajectories, labor is becoming increasingly precarious. If the current labor shortages continue, then automation is likely to accelerate. Platformization, while rampant in the relationships with final consumers, is likely to be less rapidly adopted further upstream where relationships are B-to-B and thus composed of actors that are wary of sharing data.","url":"https://doi.org/10.2139/ssrn.3949042","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2021","doi":"10.2139/ssrn.3949042","addedAt":"2026-08-31T06:39:50.721Z","updatedAt":"2026-08-31T06:39:54.187Z"},{"id":"doi:10.2139/ssrn.3914111","name":"Community Solar Governance: Institutional Design and Collective Choice Options: Implications for U.S. Markets","source":"preprints","abstract":"","url":"https://doi.org/10.2139/ssrn.3914111","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2021","doi":"10.2139/ssrn.3914111","addedAt":"2026-08-31T06:39:50.721Z","updatedAt":"2026-08-31T06:39:54.187Z"},{"id":"doi:10.2139/ssrn.4013906","name":"Hungry at the Table: White Paper on Grocery Workers at the Kroger Company","source":"preprints","abstract":"","url":"https://doi.org/10.2139/ssrn.4013906","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2022","doi":"10.2139/ssrn.4013906","addedAt":"2026-08-31T06:39:50.721Z","updatedAt":"2026-08-31T06:39:52.485Z"},{"id":"doi:10.1016/j.trd.2026.105411","name":"Facilitating sustainable urban air mobility: Social influence and human oversight","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.trd.2026.105411","authors":["Woojae Kim","Hyeonjun Jin","Kyuho Maeng"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-05-16T00:50:44Z","doi":"10.1016/j.trd.2026.105411","addedAt":"2026-08-31T06:39:51.431Z","updatedAt":"2026-08-31T06:39:51.431Z"},{"id":"doi:10.2139/ssrn.6878678","name":"Urban Form, Air Pollution, and Climate Moderate Greenspace-Emotion Links in Daily Mobility: Within-Person Evidence From 140 Million Geo-Tagged Posts","source":"crossref","abstract":"Urban greenspace is linked to mental health benefits, yet most studies assess it only at residential locations using crosssectional, single-city data.Urban greenspace is linked to mental health benefits, yet most studies assess it only at residential locations using cross-sectional, single-city data. These designs cannot address under what built environment, weather, and climatic conditions greenspace is most effective in restoring emotional well-being as people navigate through cities. We analysed 71.4 million geotagged posts from 3.97 million users across 60 Chinese cities (2018-2023) with linked highresolution geospatial data. Within-individual models tested whether users expressed more positive emotions at locations with higher greenspace while systematically controlling for co-occurring environmental exposures (weather, air pollution, building characteristics) and other spatiotemporal characteristics. Higher greenspace exposure increases positive and reduces negative emotions and exhibits nonlinear patterns that peak at moderate-to-high vegetation density. Effects are heterogeneous across all out-of-home and residential locations. Higher building density, counterintuitively, amplifies greenspace benefits, and finergrained street networks further enhance effects. Excessive building height, however, both independently reduces emotional well-being and attenuates greenspace's restorative benefits. Thermal stress approximately halves benefits, whereas solar radiation strengthens them. Greenspace benefits are also amplified under higher PM2.5 exposure. Across cities, associations are more than twice as strong in drier, temperate climates compared to subtropical humid zones. Effects peak during spring, winter and the COVID-19 pandemic period. Our results emphasise that integrating restorative urbanism into planning policy requires activity-aware, configuration-sensitive, regionally equitable and climate-adaptive approaches that reflect the well-being impacts of engaging with greenspace in daily life.","url":"https://doi.org/10.2139/ssrn.6878678","authors":["Hong Deng","Jens Kandt","Nicola Shelton","Valerio Signorelli"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-06-08T16:10:31Z","doi":"10.2139/ssrn.6878678","addedAt":"2026-08-31T06:39:51.431Z","updatedAt":"2026-08-31T06:39:51.431Z"},{"id":"doi:10.1109/tvt.2026.3689268","name":"Radio Network Planning Methodology for Urban Air Mobility with 5G Terrestrial Networks","source":"crossref","abstract":"","url":"https://doi.org/10.1109/tvt.2026.3689268","authors":["Jaeho Lee","Suhan Choi"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-04-30T19:47:22Z","doi":"10.1109/tvt.2026.3689268","addedAt":"2026-08-31T06:39:51.431Z","updatedAt":"2026-08-31T06:39:51.431Z"},{"id":"doi:10.3390/urbansci10060328","name":"Assessment of Sustainable Mobility Planning in Lithuanian Cities: A Comparative Content Analysis of Sustainable Urban Mobility Plans","source":"crossref","abstract":"Road transport is one of the most significant sources of environmental pollution and greenhouse gas emissions; therefore, the development of sustainable mobility is becoming an important direction of urban transport policy. The objectives of the European Union’s transport policy encourage cities to plan and implement measures that reduce the environmental impact of transport, improve transport conditions, and increase the availability of mobility alternatives. The aim of this study is to evaluate the planning of sustainable mobility development in Lithuanian cities by analysing sustainable urban mobility plans, the measures proposed in them, and their links to the needs of urban transport systems. The study applied descriptive statistics, comparative analysis, and document content analysis methods. The urban plans of Lithuanian cities were evaluated according to the following criteria: the time scope and relevance of the plan, the completeness of the analysis of the existing transport system, the assessment of the environment and quality of life in cities, and the compliance of the planned sustainable mobility measures with the needs of the city. The results of the study show that only a portion of Lithuanian cities have prepared sustainable urban mobility plans, and their contents and analytical bases differ. Some of the plans do not provide a sufficiently detailed and relevant analysis of the current situation; therefore, the need for the selected measures is not always clearly justified. The cities analysed generally envisage or apply measures to improve public transport, develop pedestrian and bicycle infrastructure, regulate traffic, create electric vehicle infrastructure, and promote multimodality. It was concluded that sustainable mobility planning in Lithuanian cities is uneven, and its assessment depends not only on the diversity of the envisaged measures but also on the analytical quality of planning documents, the justification of measures, and the consistency of envisaged implementation measures. The study highlights the need to strengthen data-based sustainable mobility planning and to more clearly link the measures envisaged in the plans with the specific challenges of urban transport systems.","url":"https://doi.org/10.3390/urbansci10060328","authors":["Renata Činčikaitė"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-06-15T08:57:58Z","doi":"10.3390/urbansci10060328","addedAt":"2026-08-31T06:39:51.431Z","updatedAt":"2026-08-31T06:39:51.431Z"},{"id":"doi:10.5194/egusphere-egu26-23261","name":"A multi-dimensional KPI framework for evaluating urban mobility scenarios: Integrating air quality, climate, and equity metrics across three metropolitan areas","source":"crossref","abstract":"Evaluating urban mobility scenarios typically relies on single-metric assessments—CO2 reductions, modal shares, or air quality indices—that fail to capture trade-offs between environmental effectiveness, social equity, and policy feasibility. A scenario delivering maximum emission cuts may exacerbate inequalities; one prioritising accessibility may underperform on climate targets. Decision-makers need multi-dimensional frameworks that make these trade-offs explicit and comparable across contexts.We present the Key Performance Indicator (KPI) framework developed within IMTECC (Integrated Multimodal Traffic Emissions Climate and Cities), a Sino-European collaboration funded by ANR, Innovation Fund Denmark, and NSFC, involving LISA-CNRS, University of Copenhagen, Aarhus University, Zhejiang University, and the Municipality of Copenhagen. The framework structures scenario evaluation across six pillars and fourteen sub-dimensions:• Climate &amp; Pollution: emission reductions, net-zero pathway alignment, public health impacts • Society &amp; Lifestyles: behavioural shifts, inequality trends • Mobility &amp; Transport: pricing and incentives, multimodality, infrastructure upgrades • Technology &amp; Innovation: low-emission vehicle penetration, ITS optimisation • Governance &amp; Policy: master plan integration, low-emission zone implementation • Territorial: urban typology coherence, innovation cluster development This structure enables systematic cross-city comparison between Paris (OLYMPUS-CHIMERE platform), Copenhagen (COMPASS transport model), and Hangzhou, despite differences in modelling approaches and local policy contexts.For the Paris metropolitan area, four scenarios at the 2035 horizon are evaluated against this KPI matrix:• Scenario A (Reference): Baseline trajectory. • Scenario B (Densification): 220,000 inhabitants and 140,000 jobs relocated within 800m of Grand Paris Express stations. • Scenario C (LEZ + Electrification): 50% electric vehicle target with reinforced emission standards. • Scenario E1 (Progressive LEZ + Equity): Gradual implementation with social support for vulnerable households.The KPI matrix reveals differentiated scenario profiles. Scenario C scores highest on climate &amp; pollution indicators (emission reductions, net-zero alignment) but neutral on inequality trends. Scenario B shows balanced performance across territorial coherence, multimodality, and master plan integration. Scenario E1 achieves the strongest score on inequality trends while maintaining moderate climate performance—demonstrating that equity need not be sacrificed for environmental ambition.Cross-pillar analysis exposes synergies and tensions: scenarios combining electrification with densification (B+C hybrid) could maximise both climate and territorial scores, while pure technology-push approaches (C alone) leave behavioural and equity dimensions unaddressed. A composite sustainability index weighting GHG emissions, travel times, population exposure, exposure inequalities, and non-fossil energy share is proposed to support multi-criteria decision-making. This KPI-based approach, aligned with the Integrated Urban System framework promoted by the World Meteorological Organization, offers a replicable methodology for evidence-based urban climate governance.","url":"https://doi.org/10.5194/egusphere-egu26-23261","authors":["Arthur Elessa Etuman","Isabelle Coll","Taos Benoussaid","Malo Costes"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-03-14T05:59:36Z","doi":"10.5194/egusphere-egu26-23261","addedAt":"2026-08-31T06:39:51.431Z","updatedAt":"2026-08-31T06:39:51.431Z"},{"id":"doi:10.1016/j.urbmob.2026.100215","name":"Integrating informal sidewalk economies and pedestrian space in African cities: Coexistence thresholds and governance conditions","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.urbmob.2026.100215","authors":["Hannibal Bwire"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-04-19T03:06:30Z","doi":"10.1016/j.urbmob.2026.100215","addedAt":"2026-08-31T06:39:51.431Z","updatedAt":"2026-08-31T06:39:51.431Z"},{"id":"doi:10.1016/j.jairtraman.2025.102962","name":"Transit oriented development under the influence of urban air mobility: A public transit-based vertiport siting method","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.jairtraman.2025.102962","authors":["Renwei Liu","Haishan Xia","Lu Li","Qi Li","Sitong Liu"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-12-29T21:57:09Z","doi":"10.1016/j.jairtraman.2025.102962","addedAt":"2026-08-31T06:39:51.431Z","updatedAt":"2026-08-31T06:39:51.431Z"},{"id":"doi:10.1109/iciptm69057.2026.11465983","name":"Urban Air Mobility and Air Taxis as a Solution to Traffic Congestion: A UTAUT-Based Study of Public Acceptance in Delhi NCR","source":"crossref","abstract":"","url":"https://doi.org/10.1109/iciptm69057.2026.11465983","authors":["Navleen Kaur","Monisha","Smriti Sethi","Mini Srivastava","Nitin Garg","Prerit Mohindra"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-04-13T19:34:56Z","doi":"10.1109/iciptm69057.2026.11465983","addedAt":"2026-08-31T06:39:51.431Z","updatedAt":"2026-08-31T06:39:51.431Z"},{"id":"doi:10.1002/9781394359325","name":"Foundations of Advanced Air Mobility","source":"crossref","abstract":"","url":"https://doi.org/10.1002/9781394359325","authors":["Kevin A. Adkins"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-08-19T13:30:21Z","doi":"10.1002/9781394359325","addedAt":"2026-08-31T06:39:51.431Z","updatedAt":"2026-08-31T06:39:51.431Z"},{"id":"doi:10.1016/j.urbmob.2026.100194","name":"Barriers to autonomous vehicles adoption in Europe: Insights from literature and interviews","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.urbmob.2026.100194","authors":["Giuseppe de Leo","Giovanni Miragliotta"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-02-12T05:15:18Z","doi":"10.1016/j.urbmob.2026.100194","addedAt":"2026-08-31T06:39:51.431Z","updatedAt":"2026-08-31T06:39:51.431Z"},{"id":"doi:10.1016/j.urbmob.2026.100203","name":"Mind the obstacle: Impact of microscale street elements on urban accessibility disparities","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.urbmob.2026.100203","authors":["Alexandra-Ioana Georgescu","Hoda Allahbakhshi","Alireza Harrafamoughin","Robert Weibel"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-03-12T17:15:34Z","doi":"10.1016/j.urbmob.2026.100203","addedAt":"2026-08-31T06:39:51.431Z","updatedAt":"2026-08-31T06:39:51.431Z"},{"id":"doi:10.1117/12.3086458","name":"On-board cycloidal LiDAR with OOFDMA beam steering for real-time wind hazard perception in urban air mobility","source":"crossref","abstract":"","url":"https://doi.org/10.1117/12.3086458","authors":["Gunzung Kim","Jeongsook Eom"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-03-04T23:14:27Z","doi":"10.1117/12.3086458","addedAt":"2026-08-31T06:39:51.431Z","updatedAt":"2026-08-31T06:39:51.431Z"},{"id":"doi:10.1016/j.tmp.2026.101473","name":"Exploring tourists' perceptions and adoption of urban air mobility","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.tmp.2026.101473","authors":["Yejin Lee","Sangwon Park","Namho Chung"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-03-23T13:20:25Z","doi":"10.1016/j.tmp.2026.101473","addedAt":"2026-08-31T06:39:51.431Z","updatedAt":"2026-08-31T06:39:51.431Z"},{"id":"doi:10.3390/engproc2025121030","name":"Obstacle Avoidance for Multirotor Urban Air Mobility via Prediction-Based Control Barrier Functions","source":"crossref","abstract":"","url":"https://doi.org/10.3390/engproc2025121030","authors":["Ali Mesbah","Jafar Roshanian","Dimitar Ginchev"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-02-03T09:00:41Z","doi":"10.3390/engproc2025121030","addedAt":"2026-08-31T06:39:51.431Z","updatedAt":"2026-08-31T06:39:51.431Z"},{"id":"doi:10.2139/ssrn.7038807","name":"Real-Time Communication-Aware Ride-Sharing Route Planning for Urban Air Mobility: A Multi-Source Hybrid Attention Reinforcement Learning Approach","source":"crossref","abstract":"Urban Air Mobility (UAM) systems are rapidly emerging as promising solutions to alleviate urban congestion, with path planning becoming a key focus area. Unlike ground transportation, UAM trajectory planning has to prioritize communication quality for accurate location tracking in constantly changing environments to ensure safety. Meanwhile, a UAM system, serving as an air taxi, requires adaptive planning to respond to real-time passenger requests, especially in ride-sharing scenarios where passenger demands are unpredictable and dynamic. However, conventional trajectory planning strategies based on predefined routes lack the flexibility to meet varied passenger ride demands. To address these challenges, this work first proposes constructing a radio map to evaluate the communication quality of urban airspace. Building on this, we introduce a novel Multi-Source Hybrid Attention Reinforcement Learning (MSHA-RL) framework for the challenge of effectively focusing on passengers and UAM locations, which arises from the significant dimensional disparity between the representations. This model first generates the alignment among diverse data sources with large gap dimensions before employing hybrid attention to balance global and local insights, thereby facilitating responsive, real-time path planning. Extensive experimental results demonstrate that the approach enables communication-compliant trajectory planning, reducing travel time and enhancing operational efficiency while prioritizing passenger safety.","url":"https://doi.org/10.2139/ssrn.7038807","authors":["Yuejiao Xie","Maonan Wang","Di Zhou","Man-On Pun","Zhu Han"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-07-02T02:44:07Z","doi":"10.2139/ssrn.7038807","addedAt":"2026-08-31T06:39:51.431Z","updatedAt":"2026-08-31T06:39:51.431Z"},{"id":"doi:10.3390/su18052187","name":"People-Oriented Mobility and Urban Air Quality: The Case of Almaty’s Transport Reforms Towards an Eco-City Model","source":"crossref","abstract":"Urban transport systems are major contributors to air pollution in rapidly growing post-Soviet metropolitan areas. Almaty, Kazakhstan’s largest city, has experienced a sharp rise in private vehicle ownership, accompanied by persistent exceedance of guideline values, particularly for particulate matter (PM10 and PM2.5). In response, successive municipal administrations have introduced transport and mobility reforms aimed at mitigating traffic-related emissions and improving urban environmental sustainability. This study applies a descriptive longitudinal policy analysis to review and systematize major transport policy interventions implemented in Almaty between 2005 and 2019, including metro expansion, Bus Rapid Transit (BRT) corridors, pedestrianization programs, cycling infrastructure development, and public transport fleet modernization. A brief comparative reference to Bishkek (Kyrgyz Republic) is included as a contextual benchmark rather than as a full comparative case, situating Almaty’s experience within the Central Asian urban context. Using aggregated time-series air-quality data from RSE Kazhydromet, transport infrastructure statistics, and demographic indicators, the study examines how successive reform phases align with long-term particulate matter dynamics. The analysis suggests that people-oriented mobility restructuring and investments in high-capacity public transport tend to coincide with downward trends in particulate matter concentrations, whereas road-expansion-oriented measures demonstrate limited long-term environmental benefits. The study applies a descriptive longitudinal policy framework, focusing on system-level patterns and indicative alignment between transport policy phases and air-quality dynamics rather than causal attribution. The findings provide policy-relevant insights into other rapidly motorizing post-Soviet cities, subject to data and methodological limitations.","url":"https://doi.org/10.3390/su18052187","authors":["Zhansaya Kerimova","Yerlan Akhapov","Madina Moshkal"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-02-24T16:58:18Z","doi":"10.3390/su18052187","addedAt":"2026-08-31T06:39:51.431Z","updatedAt":"2026-08-31T06:39:51.431Z"},{"id":"doi:10.1016/j.urbmob.2025.100182","name":"Residents’ preferences for land use and sustainable mobility solutions in densifying urban residential areas: Towards a more user-centered planning approach","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.urbmob.2025.100182","authors":["Julia Pohle","Vivien Katharina Albers","Matthias Kowald","André Bruns"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-03-12T17:15:34Z","doi":"10.1016/j.urbmob.2025.100182","addedAt":"2026-08-31T06:39:51.431Z","updatedAt":"2026-08-31T06:39:51.431Z"},{"id":"doi:10.4271/2026-26-0777","name":"Preliminary Requirement Elicitation for Urban Air Mobility in India – A Mission-Based Approach","source":"crossref","abstract":"&lt;div class=\"section abstract\"&gt;&lt;div class=\"htmlview paragraph\"&gt;The present paper reports preliminary requirement elicitation for Urban Air Mobility (UAM) from Indian perspective. A mission based approach has been adopted to identify the stakeholders and their respective requirements during different phases of the mission profile. Non adherence to the requirements emerge as possible risks for the mission and need mitigation planning. Three UAM operations for Bengaluru city viz. cargo delivery, organ delivery and passenger transport using UAM vehicle are elaborated. Stakeholders for these missions are identified and associated requirements are reported. For the cargo delivery mission, a detailed analysis is carried out to emphasis on how the India specific statutory restrictions of abiding by the red zone restrictions levied by DGCA impacts the de-tour factor and flight time. A qualitative assessment of the impact of these mission based requirements on the UAM vehicle design is presented.&lt;/div&gt;&lt;/div&gt;","url":"https://doi.org/10.4271/2026-26-0777","authors":["Manabendra   M. DE","Archana Hebbar","Devanandham Henry"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-06-01T00:00:26Z","doi":"10.4271/2026-26-0777","addedAt":"2026-08-31T06:39:51.431Z","updatedAt":"2026-08-31T06:39:51.431Z"},{"id":"doi:10.1016/j.urbmob.2026.100198","name":"Centrality through public transport networks: The case of Budapest and Vienna","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.urbmob.2026.100198","authors":["Ola Qasseer","András Munkácsy"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-02-20T07:11:41Z","doi":"10.1016/j.urbmob.2026.100198","addedAt":"2026-08-31T06:39:51.431Z","updatedAt":"2026-08-31T06:39:51.431Z"},{"id":"doi:10.1016/j.eng.2026.06.003","name":"Urban Air Mobility: Confronting the Fundamental Constraints of Urban Space","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.eng.2026.06.003","authors":["Yiping Yan","Bangyang Wei","Yang Liu","Jonas Eliasson"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-06-13T06:48:18Z","doi":"10.1016/j.eng.2026.06.003","addedAt":"2026-08-31T06:39:51.431Z","updatedAt":"2026-08-31T06:39:51.431Z"},{"id":"doi:10.1007/978-3-032-20840-8_1","name":"15-Minute Cities, Sustainable Mobility and Urban Livability: A New Urban Landscape Challenge","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-032-20840-8_1","authors":["Louafi Bouzouina","Karima Kourtit","Peter Nijkamp"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-07-10T22:14:42Z","doi":"10.1007/978-3-032-20840-8_1","addedAt":"2026-08-31T06:39:51.431Z","updatedAt":"2026-08-31T06:39:51.431Z"},{"id":"doi:10.1016/j.jairtraman.2026.103020","name":"Urban air mobility network design and market opportunity: Assessment for the Shanghai metropolitan area","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.jairtraman.2026.103020","authors":["Xinhui Ren","Lu Heng"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-03-18T08:35:23Z","doi":"10.1016/j.jairtraman.2026.103020","addedAt":"2026-08-31T06:39:51.431Z","updatedAt":"2026-08-31T06:39:51.431Z"},{"id":"doi:10.1016/j.jairtraman.2026.103058","name":"Bridging the gap: Expert perspectives on the integration of urban and advanced air mobility","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.jairtraman.2026.103058","authors":["Scott R. Winter","Carla Beckmann","Philip VanDette","Philip J. Smith","Ainsley Bernard","Ansh Mehrotra","Chandana Doppalapudi","Stephen Rice"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-06-02T21:30:24Z","doi":"10.1016/j.jairtraman.2026.103058","addedAt":"2026-08-31T06:39:51.431Z","updatedAt":"2026-08-31T06:39:51.431Z"},{"id":"doi:10.1016/j.urbmob.2026.100231","name":"Noise-aware urban drone delivery: Integrating demand modeling, routing optimization and spatial noise exposure assessment","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.urbmob.2026.100231","authors":["Ei Phyu Kyi","Tao FENG"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-05-16T14:49:53Z","doi":"10.1016/j.urbmob.2026.100231","addedAt":"2026-08-31T06:39:51.431Z","updatedAt":"2026-08-31T06:39:51.431Z"},{"id":"doi:10.1109/ichms69701.2026.11602254","name":"City-Wide Low-Altitude Urban Air Mobility: A Scalable Global Path Planning Approach via Risk-Aware Multi-Scale Cell Decomposition","source":"crossref","abstract":"","url":"https://doi.org/10.1109/ichms69701.2026.11602254","authors":["Josue N. Rivera","Dengfeng Sun","Chen Lv"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-07-15T20:02:01Z","doi":"10.1109/ichms69701.2026.11602254","addedAt":"2026-08-31T06:39:51.431Z","updatedAt":"2026-08-31T06:39:51.431Z"},{"id":"doi:10.47116/apjcri.2026.01.15","name":"Urban Mobility and Air Quality: A Correlational Analysis of Associations Across 48 Cities in Developing Economies","source":"crossref","abstract":"","url":"https://doi.org/10.47116/apjcri.2026.01.15","authors":["Sylvester Ngome Chisika","Chunho Yeom"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-01-30T01:59:07Z","doi":"10.47116/apjcri.2026.01.15","addedAt":"2026-08-31T06:39:51.431Z","updatedAt":"2026-08-31T06:39:51.431Z"},{"id":"doi:10.5194/egusphere-egu26-15281","name":"From residence-based to mobility-based exposure assessment: a comparison of urban air pollution exposure modelling approaches for environmental health equity","source":"crossref","abstract":"Air pollution is a significant environmental risk for premature mortality and disease. Previous research has documented inequitable air pollution exposure and health outcomes among marginalized and biologically susceptible populations. Characterizing air pollution exposure levels is a key component of assessing public health risks to inform urban policies and planning decisions; however, traditional, residence-based approaches to exposure assessment can fail to capture real-world variability in exposure across space and time, and between households. In this work, we investigate the impact of considering mobility patterns and microenvironments on exposure variability across households.In urban environments, air pollutant concentrations show strong spatial patterns with fine-scale heterogeneity across diverse microenvironments. For example, traffic-related air pollution (TRAP) often decays by approximately 50% within 150 meters of emission sources (e.g., major roads) and returns to the local background within 500 meters. Still, the decay is context-dependent, shaped by local meteorology and urban-modified flow. Indoor exposure differs further from outdoor concentrations, which are determined by factors such as indoor emissions, building characteristics, and air exchange rates. Individual routines also influence their exposure levels, as reflected in daily activity locations (origins/destinations), the travel trajectories between them, and mobility modes.To better capture air pollution exposure and assess health risks by accounting for these sources of variability and uncertainty, our study utilizes hourly, 1-km resolution air pollution estimates (NO₂, PM₂.₅, and O₃) for Metro Vancouver, Canada, generated by the coupled WRF-CMAQ modelling system. The high temporal resolution allows us to assess health risks associated with both short- and long-term exposure to air pollution. Beyond assigning exposure based on residential location, the fine resolution enables us to characterize concentration variability across microenvironments and to link exposures with individuals’ daily time-activity patterns and commuting trajectories. There is a wide range of microenvironment types relevant to air pollution exposure. For example, the U.S. EPA’s Hazardous Air Pollutant Exposure Model defines 18 microenvironments within broader categories such as indoor, outdoor, and in-vehicle, including residences, offices, public transit, and transit-waiting areas. Air pollution exposure within these microenvironments can be estimated using inputs such as the penetration of outdoor pollutants indoors and proximity to emission sources.As a next step to explore exposure disparities, we will estimate exposures using developed, narrative household archetypes that are grounded in residents' lived experiences. These archetypes are designed to capture intersecting marginalization and disadvantage, reflecting mobility inequities (e.g., barriers to travel, mode choice constraints, and differences in commuting routes).Together, we will compare and discuss: (1) differences in exposure estimates and their associated uncertainties across modelling methods; and (2) exposure disparities across groups that may contribute to health inequities. We hypothesize that mobility-based approaches offer higher granularity and therefore better capture exposure variability across households and populations than residence-based approaches. We further expect larger exposure differences between households after explicitly accounting for time-activity patterns and travel modes. By evaluating exposures under alternative policy and planning scenarios, our findings can inform sustainable travel mode shift as well as land-use and transportation planning to reduce exposures and enhance environmental health benefits.","url":"https://doi.org/10.5194/egusphere-egu26-15281","authors":["Shuoqi Ren","Amanda Giang","Seyed Hamid Delbari","Manvi Bhalla","Vahid Hosseini"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-03-14T02:15:54Z","doi":"10.5194/egusphere-egu26-15281","addedAt":"2026-08-31T06:39:51.431Z","updatedAt":"2026-08-31T06:39:51.431Z"},{"id":"doi:10.1016/j.urbmob.2025.100179","name":"How to win taxi drivers for electromobility: Potentials and barriers in Berlin","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.urbmob.2025.100179","authors":["Vera Maria Fahrner","Klaus Jäkel","Welf Lücke"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-01-06T05:39:11Z","doi":"10.1016/j.urbmob.2025.100179","addedAt":"2026-08-31T06:39:51.431Z","updatedAt":"2026-08-31T06:39:51.431Z"},{"id":"doi:10.4324/9781003734017","name":"Ethiopia's Urban Transformation","source":"crossref","abstract":"","url":"https://doi.org/10.4324/9781003734017","authors":["Thomas Betschart"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-07-30T16:45:45Z","doi":"10.4324/9781003734017","addedAt":"2026-08-31T06:39:51.431Z","updatedAt":"2026-08-31T06:39:51.431Z"},{"id":"doi:10.1177/08854122251314481","name":"Decoding the Vertiport: Planning for Urban Air Mobility","source":"crossref","abstract":"The potential of advanced air mobility (AAM) has recently been receiving a tremendous amount of attention in both the media and within the research literature. In particular, service in urban environments, referred to as urban air mobility (UAM), has received the overwhelming majority of focus. This nascent field, centered around electric vertical takeoff and landing flying vehicles (eVTOLs), is capturing imaginations and investments at an impressive pace. Yet, guidance on the siting and development of vertiports, the interface between ground transit and UAM, is trailing the pace of the forthcoming service. Vertiports are expected to operate like bus stops, transit stations, helipads, and airports. Still, this new public transportation infrastructure has the potential to dramatically alter the urban landscape due to their space requirements, safety requirements, and pace of low-altitude flight operations. Therefore, current and long-range plans must acknowledge this potential, and planning stakeholders must utilize participatory geographic information systems (GIS) to select safe, efficient, and accessible locations for vertiports to ensure future capital investment. Because of its unique attributes and requirements, the site selection process for UAM infrastructure demands a unique perspective that varies from the planning criteria for traditional transit hubs. This article summarizes the current UAM literature and offers stakeholders an informed yet simple workflow process for urban, suburban, and exurban site suitability selection that can be implemented during preliminary community engagement and early master planning processes. An example case in which this workflow was applied is provided using the San Francisco Bay Area as recent literature has shown this area to be a prime candidate for a UAM transportation network of vertiport locations being integrated into a regional multi-modal transit system.","url":"https://doi.org/10.1177/08854122251314481","authors":["Kerry Rohrmeier","Wenbin Wei","David Ison"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-02-05T02:07:56Z","doi":"10.1177/08854122251314481","addedAt":"2026-08-31T06:39:51.431Z","updatedAt":"2026-08-31T06:39:52.574Z"},{"id":"doi:10.1002/9781394359325.index","name":"Index","source":"crossref","abstract":"","url":"https://doi.org/10.1002/9781394359325.index","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-08-19T13:30:21Z","doi":"10.1002/9781394359325.index","addedAt":"2026-08-31T06:39:51.431Z","updatedAt":"2026-08-31T06:39:51.431Z"},{"id":"doi:10.3389/arc.2026.16513","name":"Electric VTOL design exploration and configurations comparison for urban air mobility","source":"crossref","abstract":"The development of Urban Air Mobility (UAM) has led to the introduction of various electric vertical takeoff and landing (eVTOL) aircraft configurations, which plays a crucial role in determining performance. This paper systematically compares two typical eVTOL configurations, lift + cruise and tiltrotor, under the context of a UAM mission with a payload of 200 kg and a range of 200 km. Employing a comprehensive aircraft sizing and mission analysis framework, the study evaluates weight, energy consumption, power requirements, and noise characteristics. The results show that the tiltrotor outperforms the lift + cruise in terms of maximum takeoff weight (MTOW), cruise aerodynamic efficiency, and mission energy consumption, mainly due to the avoidance of non-operating lift systems during cruise, thus reducing aerodynamic and weight penalties. However, the tiltrotor presents increased complexity in propulsion system design and mode transition. Noise analysis highlights that the lift + cruise generates significantly higher sound pressure levels (SPL) during vertical takeoff and landing (VTOL) due to high disk loading rotors, posing a critical urban constraint. A sensitivity analysis of battery energy density indicates that, although improvements in energy density enhance overall performance for both configurations, the relative performance gap remains stable across various energy densities. Ultimately, the configuration type plays a dominant role in determining aircraft performance. This study provides quantitative insights for eVTOL configuration selection and early-stage UAM aircraft design.","url":"https://doi.org/10.3389/arc.2026.16513","authors":["Xue Chen","Xuanyu Yao","Yunkun Man","Yaolong Liu","Yao Zheng"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-05-18T05:10:16Z","doi":"10.3389/arc.2026.16513","addedAt":"2026-08-31T06:39:51.431Z","updatedAt":"2026-08-31T06:39:51.431Z"},{"id":"doi:10.37199/c41001027","name":"LINKING MORPHOLOGY, PERCEIVED SAFETY, AND SUSTAINABLE MOBILITY IN POST SOCIALIST URBAN CONTEXTS","source":"crossref","abstract":"","url":"https://doi.org/10.37199/c41001027","authors":["Sindi DOCE"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-05-15T08:40:31Z","doi":"10.37199/c41001027","addedAt":"2026-08-31T06:39:51.431Z","updatedAt":"2026-08-31T06:39:51.431Z"},{"id":"doi:10.24834/urbanmatters.2022.12.5","name":"Disabled infrastructure: an urban photo essay","source":"crossref","abstract":"","url":"https://doi.org/10.24834/urbanmatters.2022.12.5","authors":["Kristofer Hansson"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-06-03T05:27:23Z","doi":"10.24834/urbanmatters.2022.12.5","addedAt":"2026-08-31T06:39:51.431Z","updatedAt":"2026-08-31T06:39:51.431Z"},{"id":"doi:10.1016/j.urbmob.2026.100249","name":"Assessing Governance Alignment for Shared and Micromobility: Evidence from Europe and the GCC","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.urbmob.2026.100249","authors":["Anne M. Dowling","Maria Kamargianni","Emmanouil Chaniotakis"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-07-06T12:01:09Z","doi":"10.1016/j.urbmob.2026.100249","addedAt":"2026-08-31T06:39:51.431Z","updatedAt":"2026-08-31T06:39:51.431Z"},{"id":"doi:10.3390/engproc2026133034","name":"Measurement-Based Investigation of Energy-Efficient and Comfortable Air Conditioning in Urban Air Mobility","source":"crossref","abstract":"","url":"https://doi.org/10.3390/engproc2026133034","authors":["Christina Matheis","Victor Norrefeldt","Michael Visser"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-04-22T10:37:51Z","doi":"10.3390/engproc2026133034","addedAt":"2026-08-31T06:39:51.431Z","updatedAt":"2026-08-31T06:39:51.431Z"},{"id":"doi:10.1016/j.trpro.2026.01.027","name":"Assessing Privacy Concerns in Urban Air Mobility: A Parcel Delivery Case Study in Madrid","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.trpro.2026.01.027","authors":["Emir Ganić","Marta Alonso","Miguel Baena","Tatjana Krstić Simić","Jovana Kuljanin","Cristina Barrado"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-01-30T12:08:44Z","doi":"10.1016/j.trpro.2026.01.027","addedAt":"2026-08-31T06:39:51.431Z","updatedAt":"2026-08-31T06:39:51.431Z"},{"id":"doi:10.1016/j.urbmob.2026.100221","name":"Exploring diversity of shared micromobility market: A comparison across 52 countries","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.urbmob.2026.100221","authors":["Merja Kajava","Miloš N Mladenović","Elnert Coenegrachts","Joris Beckers"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-05-01T03:49:18Z","doi":"10.1016/j.urbmob.2026.100221","addedAt":"2026-08-31T06:39:51.431Z","updatedAt":"2026-08-31T06:39:51.431Z"},{"id":"doi:10.1016/j.tra.2026.105027","name":"Integrated planning of vertiports and vertipads infrastructure for Urban Air Mobility","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.tra.2026.105027","authors":["Ning Lyu","Tao Feng"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-04-25T00:00:36Z","doi":"10.1016/j.tra.2026.105027","addedAt":"2026-08-31T06:39:51.431Z","updatedAt":"2026-08-31T06:39:51.431Z"},{"id":"doi:10.1016/j.tranpol.2026.104146","name":"User acceptance of urban air mobility sharing services: Evidence from the Netherlands","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.tranpol.2026.104146","authors":["Senkai Xie","Feixiong Liao"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-04-07T16:25:34Z","doi":"10.1016/j.tranpol.2026.104146","addedAt":"2026-08-31T06:39:51.431Z","updatedAt":"2026-08-31T06:39:51.431Z"},{"id":"doi:10.1002/9781394359325.ch06","name":"Operational Considerations","source":"crossref","abstract":"","url":"https://doi.org/10.1002/9781394359325.ch06","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-08-19T13:30:21Z","doi":"10.1002/9781394359325.ch06","addedAt":"2026-08-31T06:39:51.431Z","updatedAt":"2026-08-31T06:39:51.431Z"},{"id":"doi:10.2514/1.c038602","name":"Acoustic Characteristics of Urban Air Mobility-Scale Rotors of Increasing Size","source":"crossref","abstract":"This study examines the acoustics of Urban Air Mobility-scale (UAM), variable-RPM electric Vertical Takeoff and Landing (eVTOL) rotors in hover. The high-solidity, 5-bladed rotors operate at low tip speeds and a nominal 6psf disk loading. Rotor diameter varies from 4 to 14 ft, and variations in disk loading and solidity are also considered. Far-field in-plane tonal and broadband noise increases of 11 dB and 7.4 dB are observed, going from 4 to 14 ft diameter, with the 14 ft rotor carrying 12.25 times the thrust. But with A-weighting, tonal noise from the 14 ft rotor is 9.1 dBA lower than the 4 ft rotor, due to its lower blade passage frequency. Over the range of rotor sizes, broadband noise was observed to be 3–6.6 dB higher than tonal, unweighted, while completely dominating when A-weighting is used. Increasing from 6 psf to 12 psf disk loadings results in increased tip Mach numbers, and increases of [Formula: see text] in tonal noise and 6.8–8 dB in broadband noise. At high disk loading, A-weighted broadband noise continues to dominate, but tonal noise comes to within 5.6 dBA of broadband for the 4 ft rotor. Going to a lower solidity 2-bladed rotor operating at higher tip Mach number shows similar characteristics of increase in unweighted tonal noise, relative to broadband, but continued dominance of broadband with A-weighting. Moving from an in-plane observer to elevation angles below the rotor, the tonal noise is seen to drop away sharply, while the broadband noise shows a gentler increase.","url":"https://doi.org/10.2514/1.c038602","authors":["Farhan Gandhi","Alexander Keller","Jonah Whitt","Brendan Smith"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-01-27T03:09:21Z","doi":"10.2514/1.c038602","addedAt":"2026-08-31T06:39:51.431Z","updatedAt":"2026-08-31T06:39:51.431Z"},{"id":"doi:10.1063/5.0308427","name":"Development of a parametric holistic CAD design for virtual urban air mobility concepts","source":"crossref","abstract":"","url":"https://doi.org/10.1063/5.0308427","authors":["Vahid Salehi"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-03-20T17:00:21Z","doi":"10.1063/5.0308427","addedAt":"2026-08-31T06:39:51.431Z","updatedAt":"2026-08-31T06:39:51.431Z"},{"id":"doi:10.2139/ssrn.6400620","name":"Deep Learning-Based Minute-Scale Forecasting for Urban Air Mobility: An Analysis of Temporal Structure and Predictability","source":"crossref","abstract":"​Accurate ultra-short-term forecasting of atmospheric boundary layer (ABL) turbulence is essential for the safe operation of urban air mobility (UAM). While conventional deep learning–based studies have primarily focused on performance comparison and accuracy improvement, relatively little attention has been paid to the physical and dynamical interpretation of how the strong nonlinearity and chaotic characteristics of turbulence are learned and represented within these models. This study systematically investigates how deep learning models predict time series of various physical variables under ABL turbulence conditions. To this end, the predictive performance of five models—Long Short-Term Memory (LSTM), Gated Recurrent Unit (GRU), Temporal Convolutional Network (TCN), Transformer, and Echo State Network (ESN)—is evaluated and compared. In addition, multifractal detrended fluctuation analysis (MF-DFA) and the Langevin equation are employed to examine the memory effects and scaling properties associated with predictability. The results indicate that the intrinsic scaling properties and dynamical structures of the time series, rather than the structural complexity of the models, are the dominant factors determining predictability. Furthermore, the findings demonstrate that predictive performance comparable to that of models trained on six years of data can be achieved using only 30 days of training data. This study contributes to strengthening the theoretical foundation of turbulence forecasting for Urban Air Mobility (UAM) operations.","url":"https://doi.org/10.2139/ssrn.6400620","authors":["Woosok Moon","Jonghan Lee","Song-Lak Kang","Jae-Jin Kim","Wonsik Choi","Hyeyeong Kim","Mijeong Jeon"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-03-12T13:36:52Z","doi":"10.2139/ssrn.6400620","addedAt":"2026-08-31T06:39:51.431Z","updatedAt":"2026-08-31T06:39:51.431Z"},{"id":"doi:10.1002/9781394359325.ch04","name":"Infrastructure Considerations","source":"crossref","abstract":"","url":"https://doi.org/10.1002/9781394359325.ch04","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-08-19T13:30:21Z","doi":"10.1002/9781394359325.ch04","addedAt":"2026-08-31T06:39:51.431Z","updatedAt":"2026-08-31T06:39:51.431Z"},{"id":"doi:10.2139/ssrn.7216697","name":"Multi-Source Geospatial Data-Driven Multi-Objective Spatial Optimization for Vertiport Location in Urban Air Mobility: A Pareto Trade-Off Analysis in Shanghai","source":"crossref","abstract":"Vertiport location critically determines the coverage capacity, operational cost, and service accessibility of Urban Air Mobility (UAM) networks. However, existing location studies predominantly rely on simplified urban spatial representations and single-dimensional objectives, failing to integrate multi-source geospatial big data for coordinated optimization of coverage breadth, construction economy, and spatial equity in large-scale real-world urban environments. This study develops a multi-source geospatial data-driven framework that couples a Multi-Objective Optimization Vertiport Location Problem (MOOVLP) model with the Multi-objective Evolutionary Algorithm Based on Reinforcement Learning with Deep Q-Network (DQN-RLMOEA) to generate Pareto-optimal vertiport location schemes. The framework integrates building footprints, points of interest, and mobile phone signaling data to construct a fine-grained candidate vertiport network and population-weighted demand surface for Shanghai. Four representative schemes sampled from the Pareto front span a trade-off from 66-site full coverage to 26-site cost efficiency, exhibiting a core-to-periphery concentric expansion pattern. Spatial analyses quantitatively confirm that S1 exhibits a statistically significant peripheral-infilling bias, while S2, S3 occupies a transitional position and S4 does not significantly differ from proportional urban-rural sampling. A supplementary experiment tracing the absence of vertiport sites on Chongming Island to data coverage bias in the candidate generation stage further demonstrates that extending the candidate framework beyond the urban commercial-building paradigm enables effective peripheral coverage at reasonable marginal cost. The proposed framework provides a transferable methodology for data-driven vertiport spatial planning and contributes to the growing literature on computational spatial optimization for urban infrastructure systems.","url":"https://doi.org/10.2139/ssrn.7216697","authors":["Xinxin Zhou","Chenyu Zhang","Runtian Wang","Hongye Wang","Changbin Wu"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-08-02T19:03:40Z","doi":"10.2139/ssrn.7216697","addedAt":"2026-08-31T06:39:51.431Z","updatedAt":"2026-08-31T06:39:51.431Z"},{"id":"doi:10.37199/c41001022","name":"THE DISAPPEARING SQUARES: SOCIAL AND ENVIRONMENTAL IMPACTS OF URBAN MOBILITY PLANNING IN DURRËS","source":"crossref","abstract":"","url":"https://doi.org/10.37199/c41001022","authors":["Arjola SAVA"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-05-15T08:40:31Z","doi":"10.37199/c41001022","addedAt":"2026-08-31T06:39:51.431Z","updatedAt":"2026-08-31T06:39:51.431Z"},{"id":"doi:10.2139/ssrn.6669385","name":"A Genetic Algorithm-Based Urban Planning Method for Optimal Urban Mobility System","source":"crossref","abstract":"A fundamental rearrangement of urban mobility systems has become an urgent global imperative in response to the paradigm shift driven by climate change. The environmental consequences of the traditional car-dominant urban structure, along with the social context of mobility injustice and technological innovations in mobility devices, provide a normative basis for developing an optimal urban mobility system. Genetic Algorithms (GAs) have the potential to effectively optimize the parameters of urban mobility systems and support decision-making alongside conventional human expertise. This paper conducts theoretical research on the application of GA optimization in urban mobility system planning with a demonstration of a site-specific implementation. Specifically, eleven key variables are selected through the design of an urban mobility system prototype. The GA framework is applied using Galapagos to identify optimal solutions to a compound fitness function. The top-performing solutions are adopted to develop a master plan of District 3, Bongdam-eup, South Korea. The optimization results exhibit the capacity to generate numerous alternatives with a baseline level of validity, thereby enabling iterative and interactive evaluation in urban planning practice. The study contributes to extending the application of the GA framework to a broader urban context and exploring its applicability in urban mobility system planning. Aligned with sustainability objectives, the GA-based method highlights potential modal shifts in the urban planning process, providing insights for policy and governance.","url":"https://doi.org/10.2139/ssrn.6669385","authors":["Yoonwhee Lee","Hyun Seo"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-04-28T18:45:47Z","doi":"10.2139/ssrn.6669385","addedAt":"2026-08-31T06:39:51.431Z","updatedAt":"2026-08-31T06:39:51.431Z"},{"id":"doi:10.1016/j.urbmob.2026.100267","name":"Unpacking integration: policy instruments in planning for land-use and transport integration","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.urbmob.2026.100267","authors":["Maaike A. Buser","Samira Ramezani","Dominic Stead","Jos Arts"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-08-07T08:46:32Z","doi":"10.1016/j.urbmob.2026.100267","addedAt":"2026-08-31T06:39:51.431Z","updatedAt":"2026-08-31T06:39:51.431Z"},{"id":"doi:10.1016/j.urbmob.2026.100206","name":"Crowdshipping participation among private vehicle users","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.urbmob.2026.100206","authors":["Aditya Saxena","Deepjyoti Das","Alireza Ermagun","David Levinson"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-03-14T09:51:21Z","doi":"10.1016/j.urbmob.2026.100206","addedAt":"2026-08-31T06:39:51.431Z","updatedAt":"2026-08-31T06:39:51.431Z"},{"id":"doi:10.1016/j.urbmob.2026.100246","name":"Artificial intelligence to environmental sustainability in urban mobility: A scoping review and a conceptual framework","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.urbmob.2026.100246","authors":["André Teixeira da Costa","Taciano Oliveira da Silva","Klaus Henrique de Paula Rodrigues","Monique Renon Eller"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-07-02T23:59:42Z","doi":"10.1016/j.urbmob.2026.100246","addedAt":"2026-08-31T06:39:51.431Z","updatedAt":"2026-08-31T06:39:57.284Z"},{"id":"doi:10.1016/j.urbmob.2026.100202","name":"Exploring public perceptions of autonomous vehicles: a field experiment in shared AV mobility","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.urbmob.2026.100202","authors":["Khaula Alkaabi","Muhammad Touseef Anjum","Mervat Ijha"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-03-02T16:10:29Z","doi":"10.1016/j.urbmob.2026.100202","addedAt":"2026-08-31T06:39:51.431Z","updatedAt":"2026-08-31T06:39:51.431Z"},{"id":"doi:10.1177/03611981261441296","name":"Elevating Urban Public Transit: Consensus-Based Expert Study on Urban Air Mobility and Aerial Cable Car Integration","source":"crossref","abstract":"Airspace is increasingly emerging as a relevant dimension for urban mobility. Urban cable cars, a prime example of airborne modes, have already succeeded in emerging and developing countries, supplementing conventional public transit. However, aerial cable cars are less prevalent in industrialized nations, and integration with high-quality transit in such countries requires careful consideration. Therefore, this study identifies impacts, challenges, and stakeholders associated with cable cars, determines common challenges, and suggests appropriate use cases. An online consensus-based two-wave expert survey involving 63 high-caliber participants from engineering and consulting companies, public authorities, transit agencies, research institutions and cable car manufacturers yielded more than 4,700 answers. Key findings from consolidated expert knowledge indicated that cable cars could effectively supplement transit in industrialized countries. Positive impacts include connectivity to transit, reliability owing to minimal road-level competition, direct connections over obstacles, and being an attractive transit option. Negative impacts include privacy concerns, property ownership interference, limited access to adjacent sites along routes owing to aerial routing, lower capacity compared with conventional transit, and knowledge gaps. Handling passenger transfers between cable cars and other transit modes owing to height differences and passenger volumes poses service challenges. Transparent communication with stakeholders is crucial for project acceptance. Municipalities, operators/planners, politicians, and manufacturers are key stakeholders. Cable cars are considered a suitable aerial transit mode, with accessibility and safety levels similar to those of traditional transit modes. High demand is anticipated, especially when bridging barriers. In conclusion, cable cars can complement transit and this study provides valuable consensus-proven planning guidance for policy makers and practitioners.","url":"https://doi.org/10.1177/03611981261441296","authors":["Morten Flesser","Amer Shalaby","Bernhard Friedrich"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-06-01T18:42:03Z","doi":"10.1177/03611981261441296","addedAt":"2026-08-31T06:39:51.431Z","updatedAt":"2026-08-31T06:39:51.431Z"},{"id":"doi:10.1016/j.urbmob.2026.100243","name":"Moving well, ageing well: How built and social environments shape mobility and well-being in later life","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.urbmob.2026.100243","authors":["Caroline Beckers","Alireza Ermagun","Greet Cardon","Frank Witlox"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-07-02T03:19:08Z","doi":"10.1016/j.urbmob.2026.100243","addedAt":"2026-08-31T06:39:51.431Z","updatedAt":"2026-08-31T06:39:51.431Z"},{"id":"doi:10.1016/j.urbmob.2026.100257","name":"Between education and employment: How apprentices navigate commuting mobility challenges across spatial contexts in Austria","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.urbmob.2026.100257","authors":["Vera Kretschmer","Juliane Stark","Maria Juschten"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-07-31T00:04:01Z","doi":"10.1016/j.urbmob.2026.100257","addedAt":"2026-08-31T06:39:51.431Z","updatedAt":"2026-08-31T06:39:51.431Z"},{"id":"doi:10.1016/j.urbmob.2026.100226","name":"Designing proximity futures: Mobility pathways to the X-minute metropolis in Madrid","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.urbmob.2026.100226","authors":["Mari Luz Brownrigg-Gleeson","Iria Lopez-Carreiro","Andres Monzon","Elena Lopez"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-05-06T17:35:31Z","doi":"10.1016/j.urbmob.2026.100226","addedAt":"2026-08-31T06:39:51.431Z","updatedAt":"2026-08-31T06:39:51.431Z"},{"id":"doi:10.1007/978-981-96-9642-0_8","name":"Impact of Urban Air Mobility on Urban Commuting and Traffic Congestion: A Case Study of Shenzhen","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-981-96-9642-0_8","authors":["Di Lv","Kai Wang","Wei Zhang","Xiaobo Qu"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-01-02T02:15:36Z","doi":"10.1007/978-981-96-9642-0_8","addedAt":"2026-08-31T06:39:51.431Z","updatedAt":"2026-08-31T06:39:51.431Z"},{"id":"doi:10.1201/9781003746607","name":"Uncrewed Aircraft Systems and Advanced Air Mobility","source":"crossref","abstract":"","url":"https://doi.org/10.1201/9781003746607","authors":["Lee Nguyen","Melinda Marion"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-05-21T09:32:09Z","doi":"10.1201/9781003746607","addedAt":"2026-08-31T06:39:51.431Z","updatedAt":"2026-08-31T06:39:51.431Z"},{"id":"doi:10.1109/tvt.2026.3710554","name":"Multi-Beamforming enhanced Multi-Layer Aerial Corridor Coverage for Urban Air Mobility","source":"crossref","abstract":"","url":"https://doi.org/10.1109/tvt.2026.3710554","authors":["Hanwen Zhang","Supeng Leng","Kai Xiong","Chau Yuen"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-07-06T19:44:59Z","doi":"10.1109/tvt.2026.3710554","addedAt":"2026-08-31T06:39:51.431Z","updatedAt":"2026-08-31T06:39:51.431Z"},{"id":"doi:10.1016/j.urbmob.2026.100188","name":"Beyond residential: Measuring experienced segregation with mobile-device data and built-environment determinants, evidence from Dallas, Texas","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.urbmob.2026.100188","authors":["Ehsan Poorvahedi","Janille Smith-Colin"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-01-20T10:03:32Z","doi":"10.1016/j.urbmob.2026.100188","addedAt":"2026-08-31T06:39:51.431Z","updatedAt":"2026-08-31T06:39:51.431Z"},{"id":"doi:10.69889/bftefq43","name":"A Systematic Review and Conceptual Framework for Dynamic Ecosystem Innovation for Urban Air Mobility (UAM)","source":"crossref","abstract":"Urban Air Mobility (UAM) represents a complex, emergent socio-technical ecosystem that demands holistic orchestration rather than linear deployment. Research addressing this nascent domain often lacks integrative frameworks for managing ecosystem emergence and development. This conceptual study employs a Systematic Literature Review (SLR), grounded in Pragmatism and Abductive logic, to synthesize diverse theoretical traditions and construct a unified operational framework. The resulting model integrates the MIT Innovation Policy Model's focus on balanced Innovation Capacity (I-Cap) and Entrepreneurial Capacity (E-Cap), both critical for ecosystem scaling, with a rigorous multi-dimensional business model architecture. Central to defining operational logic is the Business Model Cube, characterized by its seven generic dimensions, including Value Proposition, Competence, and the internal/external Relations Axiom. These system dynamics are modeled using the Adaptive Behavioural Decision Integration Framework (ABDIF), which translates stakeholder psychology (attitude, norms) and contextual variables (regulation) into non-linear behavioral logic for dynamic simulation in high-uncertainty adoption environments. The framework provides policymakers (DGCA/MoCA) and industry stakeholders with an evidence-based blueprint. A synchronized orchestration, often implemented via a Quadruple Helix structure, is required to achieve scaled, sustainable eVTOL networks and high public acceptance by 2030–2035.","url":"https://doi.org/10.69889/bftefq43","authors":["Rakesh Yadav, Dr Arvind Kumar Jain","Dr Hiranmoy Roy"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-04-23T05:07:19Z","doi":"10.69889/bftefq43","addedAt":"2026-08-31T06:39:51.431Z","updatedAt":"2026-08-31T06:39:56.013Z"},{"id":"doi:10.1016/b978-0-443-26789-5.00016-x","name":"Enabling smart mobility: collaborative positioning for urban intelligent transportation systems and personal mobility","source":"crossref","abstract":"","url":"https://doi.org/10.1016/b978-0-443-26789-5.00016-x","authors":["Vassilis Gikas","Guenther Retscher","Harris Perakis","Allison Kealy"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-03-07T07:32:02Z","doi":"10.1016/b978-0-443-26789-5.00016-x","addedAt":"2026-08-31T06:39:51.431Z","updatedAt":"2026-08-31T06:39:51.431Z"},{"id":"doi:10.1093/9780197825099.003.0006","name":"Confronting social mobility","source":"crossref","abstract":"Abstract Chapter 6 argues that it is the duty of urban researchers also to anticipate the possibility of rescripted imaginaries of social mobility. In this spirit, the chapter shifts attention to counterhegemonic expressions—moments in which the power of the social mobility ideal is reassessed, questioned, and challenged. In particular, the chapter focuses on the narratives of three people: Gabriela, a long-term resident of the Chorweiler neighbourhood; Mahmoud, an upwardly mobile individual from Dortmund’s Nordstadt; and Barlo, a former district manager in a stigmatized area in Bremen. While meritocratic ideas continue to strongly shape everyday life in marginalized neighbourhoods, the voices heard in this chapter reveal both its limitations and its contested meanings. What emerges instead is a more nuanced and plural relationship with the very idea of ‘moving up’—and with it, a different understanding of what social justice might mean.","url":"https://doi.org/10.1093/9780197825099.003.0006","authors":["Anthony Miro Born"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-06-22T17:56:25Z","doi":"10.1093/9780197825099.003.0006","addedAt":"2026-08-31T06:39:51.431Z","updatedAt":"2026-08-31T06:39:51.431Z"},{"id":"doi:10.1177/00420980251409128","name":"Imagining urban futures: Participatory scenario planning London’s mobility to 2050","source":"crossref","abstract":"Urban planning faces increasing uncertainty as cities grapple with climate change, technological disruption, and widening social inequalities. While futures and foresight methods are widely used in strategic planning, their integration into urban studies remains limited. This paper examines how participatory foresight can enrich urban studies by integrating collective imagination into scenario planning. Using London’s mobility futures to 2050 as a case, it explores how structured foresight methods, including trend scanning, weak signal analysis, and participatory workshops, can generate scenarios that move beyond technocratic projections to embed governance, equity, and lived experience. Four scenarios, namely Symbiotic Progress, Innovation in Devastation, Regeneration Stagnation , and Business-as-Usual , demonstrate how collective imagination reshapes foresight outputs, challenging assumptions and highlighting tensions in London’s transport futures. The findings contribute empirically by showing how diverse publics alter scenario content, and conceptually by positioning participatory foresight as a framework for interrogating power and imaginaries in urban planning. The paper argues for embedding participatory foresight more systematically into urban scholarship and practice to navigate uncertainty and advance equitable, sustainable mobility futures.","url":"https://doi.org/10.1177/00420980251409128","authors":["Trisha Mehta"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-01-27T12:03:43Z","doi":"10.1177/00420980251409128","addedAt":"2026-08-31T06:39:51.431Z","updatedAt":"2026-08-31T06:39:51.431Z"},{"id":"doi:10.2139/ssrn.6768140","name":"Determinants of EV Adoption among Urban Commuters: Implications for Sustainable Urban Mobility","source":"crossref","abstract":"With growing environmental awareness and rising urban congestion, electric vehicles (EVs) are increasingly viewed as a viable solution for sustainable urban mobility. This study examines the factors influencing EV adoption among urban commuters and their implications for cleaner transport systems. Drawing on the Technology Acceptance Model (TAM) and sustainable transport literature, the research investigates the effects of charging infrastructure, cost savings, usefulness, environmental concern, and social influence on commuters’ intention to adopt EVs. Primary data will be collected through a structured questionnaire from approximately 350–450 urban commuters using convenience sampling. The study will employ descriptive statistics, reliability and validity tests, and structural equation modelling for analysis. It is hypothesized that charging infrastructure, economic benefits, perceived usefulness, and environmental concern positively influence EV adoption intention, while inadequate charging facilities and range anxiety remain major barriers. The findings are expected to offer practical insights for policymakers, urban planners, and mobility stakeholders.","url":"https://doi.org/10.2139/ssrn.6768140","authors":["Anjali chauhan","Dr.  Praveen Kumar"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-05-15T03:07:47Z","doi":"10.2139/ssrn.6768140","addedAt":"2026-08-31T06:39:51.431Z","updatedAt":"2026-08-31T06:39:51.431Z"},{"id":"doi:10.1080/07352166.2025.2477048","name":"Scope creep in California’s equitable mobility policy: Competing or complementing policy goals?","source":"crossref","abstract":"","url":"https://doi.org/10.1080/07352166.2025.2477048","authors":["Miriam Pinski","Anne Brown","Nicholas Perloff-Giles","Lauren N. McCarthy"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-04-21T11:01:01Z","doi":"10.1080/07352166.2025.2477048","addedAt":"2026-08-31T06:39:51.431Z","updatedAt":"2026-08-31T06:39:54.184Z"},{"id":"doi:10.18537/est.v015.n030.a08","name":"Análisis de potenciales impactos de la movilidad aérea urbana en las ciudades y su desarrollo","source":"crossref","abstract":"La Movilidad Aérea Urbana (UAM) es un emergente modo de transporte urbano, basado en nuevas tecnologías aeronáuticas, eléctricas y de comunicaciones. Ahora bien, esto representará un verdadero desafío para los planificadores urbanos, ya que la planificación e implantación de la UAM debe incluir y tener en cuenta el desarrollo de nuevas infraestructuras dedicadas, el contexto socio-urbano, las necesidades locales, y la evaluación del impacto que generará en las ciudades y su desarrollo. Entonces, el objetivo del presente artículo de revisión, que usa como metodología la revisión sistemática cuantitativa, es analizar los impactos previstos o potenciales que este modo de transporte emergente generará en el desarrollo urbano. Y a nivel de resultado, este estudio presenta una evaluación de los impactos de la UAM en el desarrollo de infraestructura urbana, en el sistema de transporte urbano existente, en la economía local, en el medioambiente urbano y finalmente en la sociedad.","url":"https://doi.org/10.18537/est.v015.n030.a08","authors":["Oscar Díaz Olariaga"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-05-04T21:20:44Z","doi":"10.18537/est.v015.n030.a08","addedAt":"2026-08-31T06:39:51.431Z","updatedAt":"2026-08-31T06:39:51.431Z"},{"id":"doi:10.4324/9781003781158-45","name":"Advanced Air Mobility","source":"crossref","abstract":"","url":"https://doi.org/10.4324/9781003781158-45","authors":["Marc Amblard"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-08-24T11:23:21Z","doi":"10.4324/9781003781158-45","addedAt":"2026-08-31T06:39:51.431Z","updatedAt":"2026-08-31T06:39:51.431Z"},{"id":"doi:10.1016/j.rtbm.2026.101816","name":"When norms signal or threaten: Exploratory evidence from subjective knowledge segments in tourists' acceptance of urban air mobility","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.rtbm.2026.101816","authors":["Yeongbae Choe","Jooa Baek","Hany Kim"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-07-25T15:44:48Z","doi":"10.1016/j.rtbm.2026.101816","addedAt":"2026-08-31T06:39:51.431Z","updatedAt":"2026-08-31T06:39:51.431Z"},{"id":"doi:10.1016/j.cie.2026.112027","name":"Sustainable and smart urban air mobility: A semi-desirable hub location and sizing approach for vertiport planning","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.cie.2026.112027","authors":["Zahra Zare","Levent Eriskin","Mumtaz Karatas"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-04-17T16:26:42Z","doi":"10.1016/j.cie.2026.112027","addedAt":"2026-08-31T06:39:51.431Z","updatedAt":"2026-08-31T06:39:51.431Z"},{"id":"doi:10.1016/j.applthermaleng.2026.130787","name":"Techno-economic analysis of fuel cell-battery hybrid urban air mobility","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.applthermaleng.2026.130787","authors":["Yonghyun Kim","Sanggyu Kang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-03-26T08:35:43Z","doi":"10.1016/j.applthermaleng.2026.130787","addedAt":"2026-08-31T06:39:51.431Z","updatedAt":"2026-08-31T06:39:51.431Z"},{"id":"doi:10.1109/ccai69603.2026.11642056","name":"Deep Learning-Driven Intelligent THz Communications for 6G Urban Air Mobility: Channel Prediction and URLLC Assurance","source":"crossref","abstract":"","url":"https://doi.org/10.1109/ccai69603.2026.11642056","authors":["Guixiang Zhu","Yuqin Ou","Qi Sun","Jiaqi Miao","Dasong Sun","Beiping Zhou"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-08-17T19:13:50Z","doi":"10.1109/ccai69603.2026.11642056","addedAt":"2026-08-31T06:39:51.431Z","updatedAt":"2026-08-31T06:39:51.431Z"},{"id":"doi:10.1016/j.tbs.2025.101135","name":"Prioritizing service attributes to enhance social acceptance of urban air mobility for airport shuttle","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.tbs.2025.101135","authors":["Yeongmin Kwon","Suji Kim","Jiho Yeo"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-10-23T16:22:37Z","doi":"10.1016/j.tbs.2025.101135","addedAt":"2026-08-31T06:39:51.431Z","updatedAt":"2026-08-31T06:39:51.431Z"},{"id":"doi:10.1007/978-3-032-23399-8_18","name":"Multidimensional Challenges for Customer Acceptance in the Emerging Urban Air Mobility Market","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-032-23399-8_18","authors":["Tiansheng Yang","Ken Peattie"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-08-17T22:11:50Z","doi":"10.1007/978-3-032-23399-8_18","addedAt":"2026-08-31T06:39:51.431Z","updatedAt":"2026-08-31T06:39:51.431Z"},{"id":"doi:10.1016/j.urbmob.2026.100235","name":"Analysis of socio-economic vulnerability to transport disruptions in the European Union","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.urbmob.2026.100235","authors":["Hamza Begic","Francesco Bruzzone","Silvio Nocera","Constantinos Antoniou"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-05-22T01:39:33Z","doi":"10.1016/j.urbmob.2026.100235","addedAt":"2026-08-31T06:39:51.431Z","updatedAt":"2026-08-31T06:39:51.431Z"},{"id":"doi:10.1016/j.urbmob.2025.100177","name":"Driving systems transition through learning: a case study for net zero school transport in rural Scotland","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.urbmob.2025.100177","authors":["Florian Ahrens","Susan Krumdieck"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-01-06T05:39:11Z","doi":"10.1016/j.urbmob.2025.100177","addedAt":"2026-08-31T06:39:51.431Z","updatedAt":"2026-08-31T06:39:51.431Z"},{"id":"doi:10.1016/j.urbmob.2026.100217","name":"Beyond time: A multidimensional framework for assessing accessibility via active transportation","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.urbmob.2026.100217","authors":["Gabriel Henrique Carvalho Rezende","Margarita Martínez-Díaz","Francesc Soriguera","Carlos Arturo León"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-04-28T02:44:13Z","doi":"10.1016/j.urbmob.2026.100217","addedAt":"2026-08-31T06:39:51.431Z","updatedAt":"2026-08-31T06:39:51.431Z"},{"id":"doi:10.1016/j.urbmob.2026.100263","name":"Uneven skies: How digital infrastructure and local context shape civilian drone adoption","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.urbmob.2026.100263","authors":["Xiangyu Li","Xinnan Zhang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-08-03T17:32:02Z","doi":"10.1016/j.urbmob.2026.100263","addedAt":"2026-08-31T06:39:51.431Z","updatedAt":"2026-08-31T06:39:51.431Z"},{"id":"doi:10.1016/j.urbmob.2026.100183","name":"Implementing proximity planning under constraint: The case of Kiezblocks in Berlin","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.urbmob.2026.100183","authors":["Alexander Rammert","Sven Hausigke"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-01-07T12:58:50Z","doi":"10.1016/j.urbmob.2026.100183","addedAt":"2026-08-31T06:39:51.431Z","updatedAt":"2026-08-31T06:39:51.431Z"},{"id":"doi:10.21203/rs.3.rs-8477170/v1","name":"Characterizing urban EV charging networks for sustainable mobility","source":"crossref","abstract":"Abstract The rapid electrification of transport is crucial for decarbonizing road transport, yet the actual service quality and resilience of urban electric vehicle (EV) charging infrastructure remain poorly understood. Most studies focus on pre-construction siting optimization, often assuming that all chargers are used equally, which overlooks the complex dynamics of post-construction performance. Here, we propose an integrated framework that covers the entire lifecycle of charging infrastructure—from construction and real-world use to network resilience. We define a multi-dimensional feature space based on usage frequency, charging duration, energy output and revenue, and use unsupervised learning to classify 11,566 charging stations in a Chinese megacity into four functional types: efficient, conventional, inefficient and idle. We then build a quantitative spatial matching framework, using the Jensen–Shannon divergence, to assess the congruence between construction scale, power supply and charging demand across these functional networks. We find a pronounced ‘small efficient core–large sleeping periphery’ structure: about 17.52% of stations are efficient, carrying 83.74% of the total demand, whereas 71.49% of the infrastructure is idle. Efficient networks are concentrated not only in the urban core but also in suburban transport- and commerce-oriented land uses, revealing a spatial decoupling from traditional commute patterns. Resilience analysis shows that efficient networks are vulnerable to targeted attacks, with functionality collapsing when about 40% of key nodes fail, whereas regular networks exhibit hidden instabilities under random failures. These findings provide an evidence-based approach for the fine-grained governance of charging infrastructure, shifting the focus from simply expanding the physical network to strategically reconfiguring the functional network.","url":"https://doi.org/10.21203/rs.3.rs-8477170/v1","authors":["Zhaocheng He"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-06-16T09:43:54Z","doi":"10.21203/rs.3.rs-8477170/v1","addedAt":"2026-08-31T06:39:51.431Z","updatedAt":"2026-08-31T06:39:56.013Z"},{"id":"doi:10.1016/j.urbmob.2026.100234","name":"Towards new models based on the promotion of proximity mobility planning for the implementation of LEZs in medium-sized cities in Spain: the case study of Cartagena","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.urbmob.2026.100234","authors":["Salvador García-Ayllón Veintimilla","Matías Yepes Martínez"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-05-20T03:06:39Z","doi":"10.1016/j.urbmob.2026.100234","addedAt":"2026-08-31T06:39:51.431Z","updatedAt":"2026-08-31T06:39:51.431Z"},{"id":"doi:10.1007/s13272-025-00917-z","name":"Safety assessment for battery thermal runaway propagation for urban air mobility","source":"crossref","abstract":"Abstract Recent research on batteries has led to novel approaches for preventing TRP at both the module and pack levels. Since evidence for failure mechanisms and propagation processes is still emerging and limited, this study introduces a scenario-based framework to evaluate strategies for mitigating TRP. The focus is on the synergistic use of thermal barriers and liquid cooling systems in combination with a TRP containment mechanism. Four scenarios were analyzed under simplified assumptions to investigate whether the considered battery system could meet the safety targets for manned eVTOL and UAV applications. The results highlight the crucial role of TRP containment mechanisms, in addition to cell-to-cell TRP prevention techniques. Under the most conservative scenario, where no TRP containment mechanism is included, the safety targets could be achieved only for UAV applications with a moderate mass penalty. However, achieving the safety targets for manned eVTOL applications would require a TRP containment mechanism, which significantly increases the mass penalty. In more progressive scenarios, safety targets for both UAV and manned eVTOL applications could be met with a negligible mass penalty even without any TRP containment mechanism.","url":"https://doi.org/10.1007/s13272-025-00917-z","authors":["Colin Bosch","Rishabh Pachchhao","Ilkay Yavrucuk"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-11-28T08:55:30Z","doi":"10.1007/s13272-025-00917-z","addedAt":"2026-08-31T06:39:51.431Z","updatedAt":"2026-08-31T06:39:54.184Z"},{"id":"doi:10.1016/j.urbmob.2026.100211","name":"Leveraging Strava Metro Data to enhance urban cycling infrastructure development in Brussels","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.urbmob.2026.100211","authors":["Sara Tori","Floriano Tori","Vincent Ginis"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-04-04T15:26:04Z","doi":"10.1016/j.urbmob.2026.100211","addedAt":"2026-08-31T06:39:51.431Z","updatedAt":"2026-08-31T06:39:51.431Z"},{"id":"doi:10.1007/s13272-026-00957-z","name":"Helicopter noise study: towards a better understanding of urban air mobility noise","source":"crossref","abstract":"","url":"https://doi.org/10.1007/s13272-026-00957-z","authors":["Julien Caillet","Pierre Dieumegard","Matthieu Sineau","Manuel Hellot","Chrystèle Philipps-Bertin","Aboud Kourieh"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-04-16T08:35:40Z","doi":"10.1007/s13272-026-00957-z","addedAt":"2026-08-31T06:39:51.431Z","updatedAt":"2026-08-31T06:39:51.431Z"},{"id":"doi:10.1016/j.cities.2026.106932","name":"Evaluating urban mobility strategies to foster inclusive urban regeneration for vulnerable groups","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.cities.2026.106932","authors":["Ertugrul Ayyildiz","Betul Yildirim"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-03-07T14:26:54Z","doi":"10.1016/j.cities.2026.106932","addedAt":"2026-08-31T06:39:51.431Z","updatedAt":"2026-08-31T06:39:51.431Z"},{"id":"doi:10.1093/9780197825099.001.0001","name":"Social Ladders","source":"crossref","abstract":"Abstract Social Ladders offers a new understanding of a core ideal in political, public, and academic discourses on low-income neighbourhoods: that of promoting upward mobility. This book explores the contradictions between the lofty promises of social mobility in marginalized urban areas, its ambivalent politics, and its complex manifestations in people’s lived experiences. To do so, it draws on policy examples from the United States, the United Kingdom, and western Europe, as well as on in-depth fieldwork in Germany. In particular, the book focuses on more than 60 narrative interviews with upwardly mobile individuals, their family members, and long-term residents in one of Germany’s most stigmatized neighbourhoods. The analysis reveals the restrictive and divisive dimensions of improving progress up the social ladder. It shows how the language and politics of social mobility often ignore the primary needs and problems of disadvantaged communities. And it draws attention to the divisive moments of moving ‘up’ and ‘out’: Social mobility divides neighbourhoods, communities, residents, and family members by giving some people a ticket to move up, while leaving others empty-handed.","url":"https://doi.org/10.1093/9780197825099.001.0001","authors":["Anthony Miro Born"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-06-22T17:56:25Z","doi":"10.1093/9780197825099.001.0001","addedAt":"2026-08-31T06:39:51.431Z","updatedAt":"2026-08-31T06:39:51.431Z"},{"id":"doi:10.1109/maes.2026.3663083","name":"Comprehensive Risk Modeling, Assessment, and Mitigation Method for Urban Air Mobility","source":"crossref","abstract":"","url":"https://doi.org/10.1109/maes.2026.3663083","authors":["Yu Su","Yan Xu","Junjie Zhao"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-02-09T21:07:58Z","doi":"10.1109/maes.2026.3663083","addedAt":"2026-08-31T06:39:51.431Z","updatedAt":"2026-08-31T06:39:51.431Z"},{"id":"doi:10.2139/ssrn.6521194","name":"Joint Supply-Demand Control of Urban Air Mobility Operations with Variable Pricing: A Case Study of Airport Access Market at JFK","source":"crossref","abstract":"This paper introduces a novel joint-supply-demand optimization framework for Urban Air Mobility (UAM) operations, designed to maximize operating profit by simultaneously managing fleet scheduling and pricing. While existing research treats pricing as an exogenous factor, our model recognizes the UAM operator&amp;apos;s dual role as both service provider and market maker. By integrating a discrete choice model into a spatial-temporal optimization framework, we capture the heterogeneity of passenger demand, including variability in travel time advantages and the value of time across different Origin-Destination (OD) markets. We apply the proposed model to a case study of the airport access market at John F. Kennedy International Airport (JFK). Our results demonstrate that the integrated approach can achieve a 60% increase in profit compared to benchmark pricing schemes that only consider temporal or spatial variability. Furthermore, sensitivity analysis reveals that the joint model effectively mitigates the \"Wild Goose Chase\" phenomenon by aligning pricing policy with aircraft availability. This paper provide a tool with which UAM operators can identify economically viable markets. It also allows policy makers to evaluate the integration of UAM into urban transportation networks.","url":"https://doi.org/10.2139/ssrn.6521194","authors":["Albert Cao","Jung  Ho Park","Jorge Duarte","Rishi  Kumar Srinivasan","Raja Sengupta","Mark Hansen"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-04-04T22:44:03Z","doi":"10.2139/ssrn.6521194","addedAt":"2026-08-31T06:39:51.431Z","updatedAt":"2026-08-31T06:39:51.431Z"},{"id":"doi:10.1016/j.urbmob.2026.100247","name":"Citizen-based decision support for sustainable public transport system selection: Evidence from Vietnam","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.urbmob.2026.100247","authors":["Roberto Ventura","Martina Carra","Benedetto Barabino"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-07-03T19:11:59Z","doi":"10.1016/j.urbmob.2026.100247","addedAt":"2026-08-31T06:39:51.431Z","updatedAt":"2026-08-31T06:39:51.431Z"},{"id":"doi:10.1016/j.urbmob.2025.100174","name":"Proximity planning for urban electrification: Walkable access to EV charging infrastructure in Montreal","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.urbmob.2025.100174","authors":["Ahad Farnood","Sepideh Khorramisarvestani","Carmela Cucuzzella","Govind Gopakumar","Ursula Eicker"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-12-10T06:55:36Z","doi":"10.1016/j.urbmob.2025.100174","addedAt":"2026-08-31T06:39:51.431Z","updatedAt":"2026-08-31T06:39:51.431Z"},{"id":"doi:10.4324/9781003781158-41","name":"Improving Urban Mobility","source":"crossref","abstract":"","url":"https://doi.org/10.4324/9781003781158-41","authors":["Marc Amblard"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-08-24T11:23:21Z","doi":"10.4324/9781003781158-41","addedAt":"2026-08-31T06:39:51.431Z","updatedAt":"2026-08-31T06:39:51.431Z"},{"id":"doi:10.1002/9781394359325.ch02","name":"<scp>AAM</scp>\n                    Vehicles","source":"crossref","abstract":"","url":"https://doi.org/10.1002/9781394359325.ch02","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-08-19T13:30:21Z","doi":"10.1002/9781394359325.ch02","addedAt":"2026-08-31T06:39:51.431Z","updatedAt":"2026-08-31T06:39:51.431Z"},{"id":"doi:10.1016/j.urbmob.2025.100175","name":"Beyond proximity: Uncovering accessibility inequities in Barcelona’s climate shelters network for the summer of 2023","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.urbmob.2025.100175","authors":["Sandra Meza-Parra","Blanca Arellano-Ramos","Josep Roca-Cladera"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-12-19T08:12:59Z","doi":"10.1016/j.urbmob.2025.100175","addedAt":"2026-08-31T06:39:51.431Z","updatedAt":"2026-08-31T06:39:51.431Z"},{"id":"doi:10.1093/9780197825099.003.0001","name":"Introduction","source":"crossref","abstract":"Abstract The introduction situates the book within contemporary debates on social mobility and urban inequality. It begins by illustrating how the promotion of upward social mobility in marginalized neighbourhoods is framed as a commonsense and desirable policy objective across political, media, and cultural contexts. The chapter then offers a brief intellectual history, showing how urban research (from early Chicago school scholarship to contemporary policy-oriented work) has reproduced and internalized mobility as a normative reference point. Finally, the introduction presents the book’s core arguments. It outlines the theoretical foundations guiding the book, explains its empirical grounding in fieldwork in Germany, and provides an overview of each chapter’s contribution.","url":"https://doi.org/10.1093/9780197825099.003.0001","authors":["Anthony Miro Born"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-06-22T17:56:25Z","doi":"10.1093/9780197825099.003.0001","addedAt":"2026-08-31T06:39:51.431Z","updatedAt":"2026-08-31T06:39:51.431Z"},{"id":"doi:10.1002/9781394359325.ch03","name":"Airspace Management and Integration","source":"crossref","abstract":"","url":"https://doi.org/10.1002/9781394359325.ch03","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-08-19T13:30:21Z","doi":"10.1002/9781394359325.ch03","addedAt":"2026-08-31T06:39:51.431Z","updatedAt":"2026-08-31T06:39:51.431Z"},{"id":"doi:10.1016/j.urbmob.2026.100186","name":"The city of ‘minutes’: mapping trends and focus areas across the globe","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.urbmob.2026.100186","authors":["Mohammad Hamed Abdi","Thomas Vanoutrive"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-01-07T21:39:51Z","doi":"10.1016/j.urbmob.2026.100186","addedAt":"2026-08-31T06:39:51.431Z","updatedAt":"2026-08-31T06:39:51.431Z"},{"id":"doi:10.1002/9781394359325.ch05","name":"Regulatory and Policy Considerations","source":"crossref","abstract":"","url":"https://doi.org/10.1002/9781394359325.ch05","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-08-19T13:30:21Z","doi":"10.1002/9781394359325.ch05","addedAt":"2026-08-31T06:39:51.431Z","updatedAt":"2026-08-31T06:39:51.431Z"},{"id":"doi:10.4018/979-8-2600-0587-3.ch002","name":"Behavioral and Spatial Approaches for Sustainable Urban Mobility","source":"crossref","abstract":"This chapter examines the 15-minute city model from a multidimensional perspective within the context of sustainable urban mobility. The model is analyzed not only in terms of spatial proximity but also considering perceived accessibility, behavioral dynamics, and social inclusivity. Approaches such as Sustainable Urban Mobility Plans (SUMP), micromobility solutions, and digital inclusion practices are evaluated as key tools supporting the implementation of this model. Examples from Europe and local initiatives in Türkiye illustrate how 15-minute cities are interpreted at different scales, while emphasizing the indispensability of incorporating the needs of vulnerable groups into planning processes to achieve social justice and equity. Consequently, the 15-minute city model is positioned not only at the center of transportation but also at the core of sustainability, resilience, and quality of life.","url":"https://doi.org/10.4018/979-8-2600-0587-3.ch002","authors":["Fatma Zehra Aksakallı","Seda Hatipoğlu"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-03-19T18:35:04Z","doi":"10.4018/979-8-2600-0587-3.ch002","addedAt":"2026-08-31T06:39:51.431Z","updatedAt":"2026-08-31T06:39:51.431Z"},{"id":"doi:10.1080/02723638.2026.2672475","name":"Urban policies mobility from China to Africa: case study of Ethiopia","source":"crossref","abstract":"","url":"https://doi.org/10.1080/02723638.2026.2672475","authors":["Han Gao","Xingping Wang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-05-21T10:51:52Z","doi":"10.1080/02723638.2026.2672475","addedAt":"2026-08-31T06:39:51.431Z","updatedAt":"2026-08-31T06:39:51.431Z"},{"id":"doi:10.1016/j.regsciurbeco.2026.104263","name":"Mobility, segregation and inequality: Who gains from urban transportation improvements?","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.regsciurbeco.2026.104263","authors":["Prottoy A. Akbar","Victor Couture"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-07-22T23:35:20Z","doi":"10.1016/j.regsciurbeco.2026.104263","addedAt":"2026-08-31T06:39:51.431Z","updatedAt":"2026-08-31T06:39:51.431Z"},{"id":"doi:10.1007/s42405-025-01022-5","name":"Optimization and Analysis of Key Parameters for Urban Air Mobility Vehicle","source":"crossref","abstract":"","url":"https://doi.org/10.1007/s42405-025-01022-5","authors":["Xiaotao Qiao","Jun Zhou"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-08-17T05:30:15Z","doi":"10.1007/s42405-025-01022-5","addedAt":"2026-08-31T06:39:51.431Z","updatedAt":"2026-08-31T06:39:54.185Z"},{"id":"doi:10.1016/j.urbmob.2026.100213","name":"Mapping service disruptions and transit user adaptive behaviour: A systematic literature review","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.urbmob.2026.100213","authors":["Irma Yusfida","Samira Ramezani","Taede Tillema","Puspita Dirgahayani"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-04-01T01:21:01Z","doi":"10.1016/j.urbmob.2026.100213","addedAt":"2026-08-31T06:39:51.431Z","updatedAt":"2026-08-31T06:39:57.841Z"},{"id":"doi:10.1016/c2024-0-01713-4","name":"Intelligent Urban Mobility","source":"crossref","abstract":"","url":"https://doi.org/10.1016/c2024-0-01713-4","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-06-27T14:40:20Z","doi":"10.1016/c2024-0-01713-4","addedAt":"2026-08-31T06:39:52.012Z","updatedAt":"2026-08-31T06:39:52.012Z"},{"id":"doi:10.1115/ssdm2025-152311","name":"Nonlinear Model Predictive Control of Urban Air Mobility Aircraft Subject to Stochastic Gust Excitations","source":"crossref","abstract":"Abstract The paper explores improving the ride quality of urban air mobility (UAM) aircraft by using a nonlinear model predictive controller (NMPC) for trajectory tracking in the presence of gusts. A hybrid UAM aircraft with traditional control surfaces and multiple rotors is studied. The aircraft’s free-flight behavior is governed by a set of nonlinear rigid-body dynamic equations that account for the gyroscopic and inertial effects of the tiltrotors. The control inputs for the aircraft include the spin rate and acceleration of the rotors, their tilt angle and rate, and the deflections of traditional control surfaces, such as the elevator, aileron, and rudder. This research numerically studies the effects of NMPC in actively suppressing the dynamic responses of the aircraft to continuous stochastic gusts applied symmetrically and asymmetrically on the lifting surfaces. The findings indicate that NMPC can effectively maintain the aircraft on its desired flight path, closely resembling the undisturbed level flight under moderate-intensity gusts. However, the controller’s effectiveness decreases as gust intensity increases. When the intensity of gusts surpasses a specific threshold, the NMPC is unable to constrain flight path deviation within a bounded range, primarily due to an increased pitch rate. This highlights the limitations of NMPC under extreme gust conditions, while demonstrating its effectiveness in managing moderate gust scenarios.","url":"https://doi.org/10.1115/ssdm2025-152311","authors":["Jessica Nunes","Weihua Su","Tianyi He"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-06-11T20:02:52Z","doi":"10.1115/ssdm2025-152311","addedAt":"2026-08-31T06:39:52.012Z","updatedAt":"2026-08-31T06:39:52.012Z"},{"id":"doi:10.2514/6.2025-0245","name":"Towards a Two-Stage Multi-Fidelity Shape Optimization Approach to Noise Reduction in Urban Air Mobility Applications","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2025-0245","authors":["Luca Abergo","Alberto Guardone","Giulio Gori"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-02-12T09:44:16Z","doi":"10.2514/6.2025-0245","addedAt":"2026-08-31T06:39:52.012Z","updatedAt":"2026-08-31T06:39:52.012Z"},{"id":"doi:10.1115/ssdm2025-152507","name":"Dynamic Load of Urban Air Mobility Aircraft in Wake Vortex of Large Passenger Aircraft","source":"crossref","abstract":"Abstract This paper investigates the dynamic loads experienced by a UAM (Urban Air Mobility) aircraft encountering a modeled wake vortex generated by a Boeing 737-800. The modeled wake vortex follows the Barnham-Hallock vortex model, characterized by a circular velocity profile. The UAM aircraft is simulated in longitudinal motion, beginning from a trimmed-level flight condition and penetrating the wake vortex with symmetric wing loading. Two flight scenarios are explored: free flight and closed-loop controlled flight. In the controlled scenario, an LQR controller is designed to mitigate the adverse effects of the wake vortex by dynamically adjusting the control surfaces to maintain the trimmed-level flight. The study evaluates and compares bending strains on the wing and the rigid-body dynamics of the UAM aircraft under both scenarios. Simulations are conducted with a wake vortex of a circulation strength of 250 m2/s and a core radius of 1.5 m. Results indicate that while the LQG flight controller effectively attenuates perturbations in pitch angle and vertical motion, it also increases bending strains and structural loads on the aircraft’s wing.","url":"https://doi.org/10.1115/ssdm2025-152507","authors":["Tianyi He","Weihua Su","Zhongquan Charlie Zheng"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-06-11T20:04:36Z","doi":"10.1115/ssdm2025-152507","addedAt":"2026-08-31T06:39:52.012Z","updatedAt":"2026-08-31T06:39:52.012Z"},{"id":"doi:10.2514/6.2025-3060","name":"Integrating Advanced Visualization and Automated HPC Workflows for GNSS Prediction in Urban Air Mobility","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2025-3060","authors":["Elena Deckert","Julian Gutierrez","Russell Gilabert","Evan Dill"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-07-16T21:24:43Z","doi":"10.2514/6.2025-3060","addedAt":"2026-08-31T06:39:52.012Z","updatedAt":"2026-08-31T06:39:52.012Z"},{"id":"doi:10.1109/icns65417.2025.10976873","name":"Distributed Simulation Evaluation of Digital Communications for Urban Air Mobility (UAM)","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icns65417.2025.10976873","authors":["Terence J. McClain","Jason B. Prince","Thomas S. White"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-05-06T17:01:56Z","doi":"10.1109/icns65417.2025.10976873","addedAt":"2026-08-31T06:39:52.012Z","updatedAt":"2026-08-31T06:39:52.012Z"},{"id":"doi:10.1109/vtc2025-fall65116.2025.11310709","name":"Multi-Hop THz-Backhaul for Enhanced Urban Air Mobility Communications","source":"crossref","abstract":"","url":"https://doi.org/10.1109/vtc2025-fall65116.2025.11310709","authors":["Alex Piccioni","Andrea Marotta","Claudia Rinaldi","Dajana Cassioli","Fabio Graziosi"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-01-06T18:33:45Z","doi":"10.1109/vtc2025-fall65116.2025.11310709","addedAt":"2026-08-31T06:39:52.012Z","updatedAt":"2026-08-31T06:39:52.012Z"},{"id":"doi:10.1016/j.urbmob.2025.100160","name":"Mobility-related harassment: Assessing individual and situational factors","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.urbmob.2025.100160","authors":["Nils Lukas Harder","Vania Ceccato"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-10-28T22:07:45Z","doi":"10.1016/j.urbmob.2025.100160","addedAt":"2026-08-31T06:39:52.012Z","updatedAt":"2026-08-31T06:39:52.012Z"},{"id":"doi:10.1109/metroaerospace64938.2025.11114586","name":"Wind Estimation in Urban Air Mobility Operations via Power Monitoring and Sensor Fusion","source":"crossref","abstract":"","url":"https://doi.org/10.1109/metroaerospace64938.2025.11114586","authors":["Mewael A. Abraham","Alessandro Gardi"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-08-14T18:34:36Z","doi":"10.1109/metroaerospace64938.2025.11114586","addedAt":"2026-08-31T06:39:52.012Z","updatedAt":"2026-08-31T06:39:52.012Z"},{"id":"doi:10.1149/ma2025-024717mtgabs","name":"Evaluating Impact of Ultra-Fast Charge-Discharge Protocols in Libs for Urban Air Mobility Applications","source":"crossref","abstract":"Electric vertical takeoff and landing (eVTOL) aircraft present a unique set of challenges for energy storage systems, demanding batteries that combine high energy density with ultrafast charge and high-power discharge capabilities. In this study, we systematically investigate the electrochemical performance and degradation mechanisms of Li-ion batteries tailored for eVTOL applications through two complementary experimental frameworks. First, we explore the cycling stability of NMC811–graphite full cells under extreme fast charge conditions, ranging from 0.3C to 100C. Despite increased polarization and capacity loss at the highest charge rates (≥75C), cells demonstrate excellent capacity retention (&gt;90%) and stable charge potentials at lower rates (0.3C–3C) over 100 iterations (900 cycles). Advanced characterization—including XRD, SEM, TXM, XANES, and XPS—reveals degradation features such as lattice contraction, particle fracturing, and heterogeneous Ni oxidation states that correlate with observed electrochemical trends. In a parallel study focused on discharge behavior, we evaluate the impact of electrolyte formulation on rate capability and stability. LiFSI-based electrolytes markedly outperform conventional Gen-2 (LiPF₆) electrolytes under high-rate discharge, enabling enhanced power delivery, cathode stability, and reversibility. However, long-term cycling reveals new degradation pathways, including current collector corrosion unique to the LiFSI formulation. Post-mortem analyses using SEM-EDS, XRD, 2D-XANES, and TXM elucidate the underlying cathode-electrolyte interactions responsible for these phenomena. Together, these insights provide a comprehensive understanding of the role of both charging protocol and electrolyte chemistry in enabling next-generation lithium-ion batteries for eVTOL applications. They also emphasize the importance of balancing performance with stability through integrated design and characterization strategies.","url":"https://doi.org/10.1149/ma2025-024717mtgabs","authors":["Marm Dixit"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-11-24T07:54:55Z","doi":"10.1149/ma2025-024717mtgabs","addedAt":"2026-08-31T06:39:52.012Z","updatedAt":"2026-08-31T06:39:52.012Z"},{"id":"doi:10.1016/b978-0-443-34160-1.12001-2","name":"Copyright","source":"crossref","abstract":"","url":"https://doi.org/10.1016/b978-0-443-34160-1.12001-2","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-07-23T09:59:25Z","doi":"10.1016/b978-0-443-34160-1.12001-2","addedAt":"2026-08-31T06:39:52.012Z","updatedAt":"2026-08-31T06:39:52.012Z"},{"id":"doi:10.1016/j.urbmob.2025.100152","name":"Sustainable Urban Mobility in Qatar: Transforming Doha’s Built Environment through Transit-Oriented Development (TOD)","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.urbmob.2025.100152","authors":["Raffaello Furlan","Reem Awwaad"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-11-08T21:55:26Z","doi":"10.1016/j.urbmob.2025.100152","addedAt":"2026-08-31T06:39:52.012Z","updatedAt":"2026-08-31T06:39:52.012Z"},{"id":"doi:10.2514/6.2025-2116","name":"Separation Assurance in Urban Air Mobility Systems Using Shared Scheduling Protocols","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2025-2116","authors":["Surya K. Murthy","Tyler Ingebrand","Sophia Smith","Ufuk Topcu","Peng Wei","Natasha A. Neogi"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-02-12T10:03:43Z","doi":"10.2514/6.2025-2116","addedAt":"2026-08-31T06:39:52.012Z","updatedAt":"2026-08-31T06:39:52.012Z"},{"id":"doi:10.1016/j.urbmob.2025.100133","name":"Exploring the future of Mobility as a Service (MaaS): A co-design approach to scenario planning in European cities","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.urbmob.2025.100133","authors":["Valeria Caiati","Soora Rasouli","Helber López"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-06-17T12:40:11Z","doi":"10.1016/j.urbmob.2025.100133","addedAt":"2026-08-31T06:39:52.012Z","updatedAt":"2026-08-31T06:39:52.012Z"},{"id":"doi:10.1016/b978-0-443-34160-1.20001-1","name":"Index","source":"crossref","abstract":"","url":"https://doi.org/10.1016/b978-0-443-34160-1.20001-1","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-07-23T09:59:25Z","doi":"10.1016/b978-0-443-34160-1.20001-1","addedAt":"2026-08-31T06:39:52.012Z","updatedAt":"2026-08-31T06:39:52.012Z"},{"id":"doi:10.2514/6.2025-3241","name":"Urban Air Mobility Altitude Transition Traffic Rules and Its System Performance Analysis","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2025-3241","authors":["Wenqiu Qu","Muzhou Jiang","Xiaohan Liao","Tieqiao Tang","Xin Wang","Xiling Luo"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-07-16T21:24:43Z","doi":"10.2514/6.2025-3241","addedAt":"2026-08-31T06:39:52.012Z","updatedAt":"2026-08-31T06:39:52.012Z"},{"id":"doi:10.1016/j.urbmob.2025.100141","name":"Acceptability of a mobility pricing scheme: Reducing externalities in urban transportation","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.urbmob.2025.100141","authors":["Filippos Adamidis","Mohamed Abouelela","Constantinos Antoniou"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-08-13T21:21:19Z","doi":"10.1016/j.urbmob.2025.100141","addedAt":"2026-08-31T06:39:52.012Z","updatedAt":"2026-08-31T06:39:52.012Z"},{"id":"doi:10.1109/itsc60802.2025.11423788","name":"Airspace Partitioning for Urban Air Mobility: A Macroscopic Approach with a Realistic Network","source":"crossref","abstract":"","url":"https://doi.org/10.1109/itsc60802.2025.11423788","authors":["Magdalena Peksa","Mehdi Keyvan-Ekbatani","Klaus Bogenberger"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-03-16T20:10:23Z","doi":"10.1109/itsc60802.2025.11423788","addedAt":"2026-08-31T06:39:52.012Z","updatedAt":"2026-08-31T06:39:52.012Z"},{"id":"doi:10.1109/icns65417.2025.10976966","name":"Manned and Unmanned Flights in the Urban Air Mobility Era: Impacts and Future Perspectives","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icns65417.2025.10976966","authors":["Tamer Savas","Ugur Ozdemir","Ozlem Sahin","Oznur Usanmaz"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-05-06T17:01:56Z","doi":"10.1109/icns65417.2025.10976966","addedAt":"2026-08-31T06:39:52.012Z","updatedAt":"2026-08-31T06:39:52.012Z"},{"id":"doi:10.4050/f-0081-2025-0073","name":"Powertrain System Analysis for an Urban Air Mobility Tiltwing Concept Vehicle","source":"crossref","abstract":"In support of research and development for Urban Air Mobility (UAM) operations, the National Aeronautics and Space Administration (NASA) is developing a fleet of Vertical Takeoff and Landing (VTOL) concept vehicles. These vehicles aim to identify key areas for technological growth and provide reference data to the UAM community. A six-passenger Tiltwing concept recently added to the fleet offers new opportunities to explore the UAM design space through trade studies of the power and propulsion systems. In this paper, a turboelectric powertrain is designed and analyzed using the Numerical Propulsion System Simulation (NPSS) tool, the NPSS Power System Library, and a motor drivetrain optimization tool. Direct and geared motor drivetrains are designed and compared across a UAM design mission. Sensitivity of the Tiltwing maximum takeoff weight to motor drivetrain weights and efficiencies is estimated and used to inform optimal motor and gearbox selection. Results indicate that direct-drive and geared-drive configurations are comparable for this vehicle, with slight advantages to direct-drive when the radius of the drivetrain is unconstrained. When the drivetrain radius is constrained, a geared-drive system becomes more optimal.","url":"https://doi.org/10.4050/f-0081-2025-0073","authors":["Jeshurun Horton","Jeffryes Chapman","Thomas Tallerico"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-04-10T16:56:52Z","doi":"10.4050/f-0081-2025-0073","addedAt":"2026-08-31T06:39:52.012Z","updatedAt":"2026-08-31T06:39:52.012Z"},{"id":"doi:10.14324/111.9781800089662","name":"Discourses on Sustainable Urban Mobility","source":"crossref","abstract":"","url":"https://doi.org/10.14324/111.9781800089662","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-10-27T12:53:23Z","doi":"10.14324/111.9781800089662","addedAt":"2026-08-31T06:39:52.012Z","updatedAt":"2026-08-31T06:39:52.012Z"},{"id":"doi:10.2514/6.2025-0658","name":"Extension of a Full Envelope Flight Control System to CTOL/STOL Capabilities on a Urban Air Mobility Tilt-Rotor","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2025-0658","authors":["Anthony M. Comer","Aashutosh A. Mishra","Imon Chakraborty"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-02-12T09:44:16Z","doi":"10.2514/6.2025-0658","addedAt":"2026-08-31T06:39:52.012Z","updatedAt":"2026-08-31T06:39:52.012Z"},{"id":"doi:10.2514/6.2025-3243","name":"A Spatiotemporal Approach to Portal Siting and Routing for Urban Air Mobility: A Case Study on New York City","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2025-3243","authors":["Katie Vasiloff","Zhenbo Wang","Liang Sun"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-07-16T21:24:43Z","doi":"10.2514/6.2025-3243","addedAt":"2026-08-31T06:39:52.012Z","updatedAt":"2026-08-31T06:39:52.012Z"},{"id":"doi:10.1016/j.urbmob.2025.100105","name":"Strategic spatial planning in the implementation of mobility hubs","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.urbmob.2025.100105","authors":["Kristina Trygg","Ida Grundel"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-01-27T17:18:41Z","doi":"10.1016/j.urbmob.2025.100105","addedAt":"2026-08-31T06:39:52.012Z","updatedAt":"2026-08-31T06:39:52.012Z"},{"id":"doi:10.2307/jj.28833769.9","name":"Understanding space and mobility","source":"crossref","abstract":"","url":"https://doi.org/10.2307/jj.28833769.9","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-11-12T20:21:37Z","doi":"10.2307/jj.28833769.9","addedAt":"2026-08-31T06:39:52.012Z","updatedAt":"2026-08-31T06:39:52.012Z"},{"id":"doi:10.1109/sose66311.2025.11083807","name":"Urban Air Mobility as a System of Systems: An LLM-Enhanced Holonic Approach","source":"crossref","abstract":"","url":"https://doi.org/10.1109/sose66311.2025.11083807","authors":["Ahmed R. Sadik","Muhammad Ashfaq","Niko Mäkitalo","Tommi Mikkonen"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-08-13T17:25:58Z","doi":"10.1109/sose66311.2025.11083807","addedAt":"2026-08-31T06:39:52.012Z","updatedAt":"2026-08-31T06:39:52.012Z"},{"id":"doi:10.1109/icspis67605.2025.11318403","name":"AI-Augmented Hexagonal Voxelization for Scalable Conflict Detection in Urban Air Mobility","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icspis67605.2025.11318403","authors":["Deepudev Sahadevan","Dr. Hannah Al Ali","Chilka Mahesh"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-01-12T18:20:02Z","doi":"10.1109/icspis67605.2025.11318403","addedAt":"2026-08-31T06:39:52.012Z","updatedAt":"2026-08-31T06:39:52.012Z"},{"id":"doi:10.2307/jj.28833769.36","name":"Emerging mobility and space?","source":"crossref","abstract":"","url":"https://doi.org/10.2307/jj.28833769.36","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-11-12T20:21:37Z","doi":"10.2307/jj.28833769.36","addedAt":"2026-08-31T06:39:52.012Z","updatedAt":"2026-08-31T06:39:52.012Z"},{"id":"doi:10.4236/jtts.2025.154022","name":"Analysis of Factors Affecting the Willingness to Use Urban Air Mobility Passenger Services","source":"crossref","abstract":"","url":"https://doi.org/10.4236/jtts.2025.154022","authors":["Zhangping Li","Meng Zhao","Yijun Ma"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-09-16T06:10:46Z","doi":"10.4236/jtts.2025.154022","addedAt":"2026-08-31T06:39:52.012Z","updatedAt":"2026-08-31T06:39:52.012Z"},{"id":"doi:10.2307/jj.28833769.8","name":"The production of mobility","source":"crossref","abstract":"","url":"https://doi.org/10.2307/jj.28833769.8","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-11-12T20:21:37Z","doi":"10.2307/jj.28833769.8","addedAt":"2026-08-31T06:39:52.012Z","updatedAt":"2026-08-31T06:39:52.012Z"},{"id":"doi:10.1016/j.tranpol.2025.103784","name":"Assessment of passengers’ safety and risk attitudes on integrated urban air mobility and airline services","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.tranpol.2025.103784","authors":["Ying Zhao","Yan Hu","Tao Feng","Anming Zhang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-08-23T06:33:23Z","doi":"10.1016/j.tranpol.2025.103784","addedAt":"2026-08-31T06:39:52.012Z","updatedAt":"2026-08-31T06:39:52.012Z"},{"id":"doi:10.1115/1.4068426","name":"Nonlinear Model Predictive Control of Urban Air Mobility Aircraft With Gust Disturbance","source":"crossref","abstract":"Abstract The paper explores improving the ride quality of urban air mobility (UAM) aircraft by using a nonlinear model predictive controller (NMPC) for trajectory tracking in the presence of gusts. A hybrid UAM aircraft with traditional control surfaces and multiple rotors is studied. The aircraft's free-flight behavior is governed by a set of nonlinear rigid-body dynamic equations that consider the gyroscopic and inertial effects of the tiltrotors. The control inputs for the aircraft include the spin rate and acceleration of the rotors, their tilt angle and rate, and the deflections of traditional control surfaces, such as the elevator, aileron, and rudder. This research numerically studies the effects of NMPC in actively suppressing aircraft's dynamic responses to continuous stochastic gusts or discrete “1-cosine” gusts, which are applied symmetrically and asymmetrically on the lifting surfaces. The findings indicate that NMPC can effectively maintain the aircraft on its desired flight path, closely resembling the undisturbed level flight when it experiences moderate-intensity gusts. However, the controller's effectiveness decreases as the intensity of the gusts increases. The NMPC can no longer constrain the flight path deviation within a bounded range due to an increased pitch rate when the gust intensity surpasses a certain threshold. In addition, the discrete “1-cosine” gusts present more significant challenges, resulting in pitch angle deviations from the desired value, even at low gust magnitudes.","url":"https://doi.org/10.1115/1.4068426","authors":["Jessica S. M. Nunes","Weihua Su","Tianyi He"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-04-11T14:08:46Z","doi":"10.1115/1.4068426","addedAt":"2026-08-31T06:39:52.012Z","updatedAt":"2026-08-31T06:39:52.012Z"},{"id":"doi:10.1016/j.ijtst.2025.07.003","name":"Redefining metropolitan skies: Fluid dynamics-driven air corridors for urban air mobility","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.ijtst.2025.07.003","authors":["Qin Xu","Lei Zhang","Qian Xu"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-08-28T17:29:52Z","doi":"10.1016/j.ijtst.2025.07.003","addedAt":"2026-08-31T06:39:52.012Z","updatedAt":"2026-08-31T06:39:52.012Z"},{"id":"doi:10.21606/servdes2025.79","name":"Air Traffic Management as a Service for Urban Air Mobility in Indian Cities: A Study for Scalable and Adaptive Design Framework for Optimizing Airspace Over Rail, Metro, and Roads","source":"crossref","abstract":"","url":"https://doi.org/10.21606/servdes2025.79","authors":["Shovan Kar","Deepak Mathew","Mahesh S","Aastha John"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-10-12T17:39:54Z","doi":"10.21606/servdes2025.79","addedAt":"2026-08-31T06:39:52.012Z","updatedAt":"2026-08-31T06:39:52.012Z"},{"id":"doi:10.1109/icns65417.2025.10976756","name":"Multiple Cooperative UAS Mid-Air Collision Probability Assessment and Monte-Carlo Validation in Urban Air Mobility","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icns65417.2025.10976756","authors":["Jinpeng Zhang","Yan Xu","Jinjiang Yu","Kaiquan Cai","Gokhan Inalhan"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-05-06T13:01:56Z","doi":"10.1109/icns65417.2025.10976756","addedAt":"2026-08-31T06:39:52.012Z","updatedAt":"2026-08-31T06:39:52.012Z"},{"id":"doi:10.2514/6.2025-0930","name":"Systems Approach to AI Model Integration &amp; Performance in Generic Urban Air Mobility Simulation","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2025-0930","authors":["Shivakumar I. Ranganathan","Hari Ilangovan","Newton H. Campbell","Michael J. Acheson","Irene M. Gregory"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-02-12T09:44:16Z","doi":"10.2514/6.2025-0930","addedAt":"2026-08-31T06:39:52.012Z","updatedAt":"2026-08-31T06:39:52.012Z"},{"id":"doi:10.1016/j.urbmob.2025.100129","name":"Corrigendum to “Autonomous delivery robots: differences in consumer´s acceptance in the USA, Europe, and Asia” [Journal of Urban Mobility, Volume 7 (2025), 100110]","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.urbmob.2025.100129","authors":["Mariana Montero-Vega","Miquel Estrada","Matthieu Prouvier","Alexander Siebeneich"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-06-04T20:02:02Z","doi":"10.1016/j.urbmob.2025.100129","addedAt":"2026-08-31T06:39:52.012Z","updatedAt":"2026-08-31T06:39:52.012Z"},{"id":"doi:10.1016/j.scs.2025.106750","name":"Quantifying the impact of urban geometric detail for urban air mobility risk forecasting","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.scs.2025.106750","authors":["Akshay Patil","Clara García-Sánchez"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-09-09T00:03:17Z","doi":"10.1016/j.scs.2025.106750","addedAt":"2026-08-31T06:39:52.012Z","updatedAt":"2026-08-31T06:39:52.012Z"},{"id":"doi:10.2514/6.2025-0343","name":"Large-Scale Simulation of a Distributed Sensing Network Supporting Regional Urban Air Mobility Operations","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2025-0343","authors":["Keerthana Kannan","Joshua E. Baculi","Corey A. Ippolito","Vahram Stepanyan","Thomas Lombaerts","Evan Kawamura"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-02-12T04:44:16Z","doi":"10.2514/6.2025-0343","addedAt":"2026-08-31T06:39:52.012Z","updatedAt":"2026-08-31T06:39:52.012Z"},{"id":"doi:10.1038/s44333-025-00067-z","name":"Rethinking electric vehicles in research and planning.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s44333-025-00067-z","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.1038/s44333-025-00067-z","addedAt":"2026-08-31T06:39:52.012Z","updatedAt":"2026-08-31T06:39:54.186Z"},{"id":"doi:10.1007/s10661-025-14883-w","name":"Impact of COVID-19 lockdowns on air pollution in Tbilisi.","source":"europepmc","abstract":"","url":"https://doi.org/10.1007/s10661-025-14883-w","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.1007/s10661-025-14883-w","addedAt":"2026-08-31T06:39:52.012Z","updatedAt":"2026-08-31T06:39:54.186Z"},{"id":"doi:10.1016/j.envpol.2025.127322","name":"Analysis of the potential availability of resuspended heavy metals from urban road sediments: A post-runoff approach.","source":"europepmc","abstract":"","url":"https://doi.org/10.1016/j.envpol.2025.127322","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.1016/j.envpol.2025.127322","addedAt":"2026-08-31T06:39:52.013Z","updatedAt":"2026-08-31T06:39:54.186Z"},{"id":"doi:10.1016/j.jncc.2025.10.001","name":"Reply: reframing the ozone-lung cancer link: toward exposure equity in urban China.","source":"europepmc","abstract":"","url":"https://doi.org/10.1016/j.jncc.2025.10.001","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.1016/j.jncc.2025.10.001","addedAt":"2026-08-31T06:39:52.013Z","updatedAt":"2026-08-31T06:39:54.186Z"},{"id":"doi:10.1016/j.jhazmat.2025.140076","name":"Speciation and mobility of metals from vehicular non-exhaust particulate matter.","source":"europepmc","abstract":"","url":"https://doi.org/10.1016/j.jhazmat.2025.140076","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.1016/j.jhazmat.2025.140076","addedAt":"2026-08-31T06:39:52.013Z","updatedAt":"2026-08-31T06:39:54.186Z"},{"id":"doi:10.1016/j.jenvman.2025.127972","name":"Flood impact on urban transport networks considering the flooding propagation.","source":"europepmc","abstract":"","url":"https://doi.org/10.1016/j.jenvman.2025.127972","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.1016/j.jenvman.2025.127972","addedAt":"2026-08-31T06:39:52.013Z","updatedAt":"2026-08-31T06:39:54.186Z"},{"id":"doi:10.1073/pnas.2525458122","name":"Forecasting weather and health heat impact.","source":"europepmc","abstract":"","url":"https://doi.org/10.1073/pnas.2525458122","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.1073/pnas.2525458122","addedAt":"2026-08-31T06:39:52.013Z","updatedAt":"2026-08-31T06:39:54.186Z"},{"id":"doi:10.3389/fpubh.2025.1670520","name":"Environmental determinants of cerebral haemorrhage in older adults: behavioural pathways and population health implications.","source":"europepmc","abstract":"","url":"https://doi.org/10.3389/fpubh.2025.1670520","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.3389/fpubh.2025.1670520","addedAt":"2026-08-31T06:39:52.013Z","updatedAt":"2026-08-31T06:39:57.842Z"},{"id":"doi:10.1016/j.envint.2025.109866","name":"Discovering environmental health effects of transport scenarios through agent-based simulations.","source":"europepmc","abstract":"","url":"https://doi.org/10.1016/j.envint.2025.109866","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.1016/j.envint.2025.109866","addedAt":"2026-08-31T06:39:52.013Z","updatedAt":"2026-08-31T06:39:54.186Z"},{"id":"doi:10.1016/j.dib.2025.111805","name":"Nairobi motorcycle transit comparison dataset: Fuel vs. electric vehicle performance tracking (2023).","source":"europepmc","abstract":"","url":"https://doi.org/10.1016/j.dib.2025.111805","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.1016/j.dib.2025.111805","addedAt":"2026-08-31T06:39:52.013Z","updatedAt":"2026-08-31T06:39:57.842Z"},{"id":"doi:10.3389/fpubh.2025.1649879","name":"How do low-carbon city policies shape older adults health? Evidence from environmental and mobility pathways in China.","source":"europepmc","abstract":"","url":"https://doi.org/10.3389/fpubh.2025.1649879","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.3389/fpubh.2025.1649879","addedAt":"2026-08-31T06:39:52.013Z","updatedAt":"2026-08-31T06:39:57.842Z"},{"id":"doi:10.1039/d4fd00176a","name":"The interplay between snow and polluted air masses in cold urban environments.","source":"europepmc","abstract":"","url":"https://doi.org/10.1039/d4fd00176a","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.1039/d4fd00176a","addedAt":"2026-08-31T06:39:52.013Z","updatedAt":"2026-08-31T06:39:54.186Z"},{"id":"doi:10.1038/s41370-025-00836-5","name":"Comparison of residential and mobility-integrated air pollution exposures from tracking campaigns and agent-based modelling in Switzerland and the Netherlands.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41370-025-00836-5","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.1038/s41370-025-00836-5","addedAt":"2026-08-31T06:39:52.013Z","updatedAt":"2026-08-31T06:39:57.842Z"},{"id":"doi:10.1121/10.0038749","name":"Machine learning-based prediction of drone noise propagation in three-dimensional urban environments.","source":"europepmc","abstract":"","url":"https://doi.org/10.1121/10.0038749","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.1121/10.0038749","addedAt":"2026-08-31T06:39:52.013Z","updatedAt":"2026-08-31T06:39:54.186Z"},{"id":"doi:10.1002/smll.202508360","name":"Ionic-Liquid Free and Flexible Transistors Made of 2D Material Inks.","source":"europepmc","abstract":"","url":"https://doi.org/10.1002/smll.202508360","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.1002/smll.202508360","addedAt":"2026-08-31T06:39:52.013Z","updatedAt":"2026-08-31T06:39:54.186Z"},{"id":"doi:10.1007/s11356-025-36515-z","name":"The tangible impacts of air pollution on built heritage during COVID-19 period on the Historical Peninsula of Istanbul, Turkey.","source":"europepmc","abstract":"","url":"https://doi.org/10.1007/s11356-025-36515-z","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.1007/s11356-025-36515-z","addedAt":"2026-08-31T06:39:52.013Z","updatedAt":"2026-08-31T06:39:54.186Z"},{"id":"doi:10.3390/ijerph22111629","name":"Development of Life Course Exposure Estimates Using Geospatial Data and Residence History.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/ijerph22111629","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.3390/ijerph22111629","addedAt":"2026-08-31T06:39:52.013Z","updatedAt":"2026-08-31T06:39:54.186Z"},{"id":"doi:10.1016/j.chemosphere.2025.144630","name":"Development and performance evaluation of an analytical method for the analysis of polychlorinated naphthalenes (PCNs) and polychlorinated biphenyls (PCBs) accumulated in pine needles.","source":"europepmc","abstract":"","url":"https://doi.org/10.1016/j.chemosphere.2025.144630","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.1016/j.chemosphere.2025.144630","addedAt":"2026-08-31T06:39:52.013Z","updatedAt":"2026-08-31T06:39:54.186Z"},{"id":"doi:10.3389/fpubh.2025.1682820","name":"Does land cover affect the growth rate of COVID-19? Rethinking sustainable habitat from the One Health perspective using data from 12 cities during lockdown in Hubei Province, China.","source":"europepmc","abstract":"","url":"https://doi.org/10.3389/fpubh.2025.1682820","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.3389/fpubh.2025.1682820","addedAt":"2026-08-31T06:39:52.013Z","updatedAt":"2026-08-31T06:39:57.842Z"},{"id":"doi:10.1186/s12889-025-25317-0","name":"Associations between walkability and physical activity among children and adolescents: evidence from a gamified intervention.","source":"europepmc","abstract":"","url":"https://doi.org/10.1186/s12889-025-25317-0","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.1186/s12889-025-25317-0","addedAt":"2026-08-31T06:39:52.013Z","updatedAt":"2026-08-31T06:39:54.186Z"},{"id":"doi:10.3390/s25196226","name":"CoCoChain: A Concept-Aware Consensus Protocol for Secure Sensor Data Exchange in Vehicular Ad Hoc Networks.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s25196226","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.3390/s25196226","addedAt":"2026-08-31T06:39:52.013Z","updatedAt":"2026-08-31T06:39:57.842Z"},{"id":"doi:10.1007/s11356-025-36616-9","name":"Surface water quality of the Magdalena River in the Colombian Caribbean: future solutions for treatment wastewaters.","source":"europepmc","abstract":"","url":"https://doi.org/10.1007/s11356-025-36616-9","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.1007/s11356-025-36616-9","addedAt":"2026-08-31T06:39:52.013Z","updatedAt":"2026-08-31T06:39:54.186Z"},{"id":"doi:10.3389/fpubh.2025.1707802","name":"Comparing age-friendly city and community policies from China and the world: a systematic review.","source":"europepmc","abstract":"","url":"https://doi.org/10.3389/fpubh.2025.1707802","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.3389/fpubh.2025.1707802","addedAt":"2026-08-31T06:39:52.013Z","updatedAt":"2026-08-31T06:39:57.842Z"},{"id":"doi:10.1186/s40621-025-00620-x","name":"Fine particulate matter exposure and risk of scooter collisions among older adults.","source":"europepmc","abstract":"","url":"https://doi.org/10.1186/s40621-025-00620-x","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.1186/s40621-025-00620-x","addedAt":"2026-08-31T06:39:52.013Z","updatedAt":"2026-08-31T06:39:54.186Z"},{"id":"doi:10.1016/j.jes.2026.03.032","name":"Wildfire-impact identification in the Western USA using numerical techniques.","source":"europepmc","abstract":"","url":"https://doi.org/10.1016/j.jes.2026.03.032","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.1016/j.jes.2026.03.032","addedAt":"2026-08-31T06:39:52.013Z","updatedAt":"2026-08-31T06:39:54.186Z"},{"id":"doi:10.3389/fpubh.2025.1652663","name":"Walking environments for aging communities in municipality regions in China: measuring physical function toward population health challenges.","source":"europepmc","abstract":"","url":"https://doi.org/10.3389/fpubh.2025.1652663","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.3389/fpubh.2025.1652663","addedAt":"2026-08-31T06:39:52.013Z","updatedAt":"2026-08-31T06:39:54.186Z"},{"id":"doi:10.1021/acsomega.5c10914","name":"Toward Portable and Affordable Air Quality Monitoring: A 3D-Printed Platform for Colorimetric NO&lt;sub&gt;2&lt;/sub&gt; Quantification from Vehicles' Exhaust Emissions.","source":"europepmc","abstract":"","url":"https://doi.org/10.1021/acsomega.5c10914","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.1021/acsomega.5c10914","addedAt":"2026-08-31T06:39:52.013Z","updatedAt":"2026-08-31T06:39:54.186Z"},{"id":"doi:10.1371/journal.pone.0335127","name":"Air pollution and corporate labor cost stickiness: Evidence from China.","source":"europepmc","abstract":"","url":"https://doi.org/10.1371/journal.pone.0335127","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.1371/journal.pone.0335127","addedAt":"2026-08-31T06:39:52.013Z","updatedAt":"2026-08-31T06:39:54.186Z"},{"id":"doi:10.6084/m9.figshare.29773478","name":"Sukavichinomics-The-1994-Bangkok-Smart-Sports-City.pdf","source":"datacite","abstract":"AbstractThis study revisits and re-evaluates one of Thailand’s most forward-thinking but ultimately unrealized urban development initiatives: the 1994 Bangkok Smart Sports City, conceptualized under the leadership of His Excellency Mr.Sukavich Rangsitpol, then Deputy Prime Minister overseeing national infrastructure. As a core element of Sukavichinomics—a development paradigm centered on human capital, integrated planning, and institutional coherence—the project was designed not merely as a venue for the upcoming 1998 Asian Games, but as a prototype for inclusive, sustainable, and future-ready urban development in Southeast Asia.At its core, the Bangkok Smart Sports City project proposed a bold, multi-layered urban ecosystem: one that leveraged underused land—specifically, the air rights above the MRT maintenance depot at Rama IX—to integrate transportation, housing, sports, and public services into a cohesive, vertical city model. The project’s design featured Olympic-standard sports facilities, environmentally sustainable buildings, mixed-use commercial zones, and welfare housing designed for post-event reuse, particularly for relocating vulnerable communities such as those from Khlong Toei slums. The plan embraced Transit-Oriented Development (TOD) principles before they were mainstream, targeting both economic efficiency and social equity through infrastructure.Despite its visionary scope, the project was suspended following a political transition on 11 December 1994, which saw the departure of technocratic leadership and a refocus of state priorities. This discontinuity serves as the focal point of this paper, which explores the economic, social, and institutional opportunity costs of that policy shift using rigorous econometric and spatial modeling techniques. Drawing from a mix of quantitative and counterfactual methods, including ARIMA time-series forecasting, Chow structural break tests, and an enhanced Cobb–Douglas production model, the research seeks to quantify what was lost when this project was discontinued.The findings are striking. First, the Chow test identifies a statistically significant structural break in Thailand’s urban infrastructure investment patterns in Q1 1995, aligning precisely with the project’s suspension. ARIMA simulations estimate that, had the Smart Sports City been completed and maintained with consistent investment, Bangkok’s compound annual growth rate (CAGR) could have increased by up to 1.2% between 2000 and 2020. These gains would likely have stemmed from:increased land value around the TOD zones,improved public health and human capital development via sports access,greater labor market integration through affordable housing,and higher tourism and service sector revenues.Second, the social dimension of the project was profoundly ambitious. Instead of treating the sports complex as a temporary mega-event site, the plan embedded permanently useful public infrastructure. Athlete housing was intended to be converted into government welfare residences, providing safe, serviced homes for formerly displaced or disadvantaged citizens. Such a reuse strategy would have reduced state expenditure on future housing initiatives, decongested informal settlements, and improved education and health outcomes through proximity to quality urban services.Moreover, the integration of local schools, youth sports programs, and community centers into the complex was intended to transform sports from an elite spectacle into an everyday civic good. Public recreation spaces, connected walkways, and on-site mass transit access were designed to ensure accessibility, inclusivity, and year-round utility, reinforcing Bangkok’s identity as a city for all.In policy terms, the project offered a multi-benefit investment strategy, aligning physical infrastructure with long-term social mobility and spatial equity. Its shelving illustrates how political short-termism can undermine sustainable development, even when plans are ","url":"https://doi.org/10.6084/m9.figshare.29773478","authors":["Manitkul, Thita"],"tags":["Econometric and statistical methods","Economic models and forecasting","Time-series analysis"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.6084/m9.figshare.29773478","addedAt":"2026-08-31T06:39:52.013Z","updatedAt":"2026-08-31T06:39:52.013Z"},{"id":"doi:10.5281/zenodo.19289050","name":"Environmental Impact Analysis of Pune Metro Rail","source":"datacite","abstract":"Rapid urbanization and growing dependence on private motorized transport have intensified traffic congestion and air pollution in Indian metropolitan cities. Mass rapid transit systems such as the Pune Metro are therefore essential for promoting sustainable urban mobility. This study evaluates the environmental impact of the Pune Metro by integrating primary commuter survey data with secondary carbon emission and carbon credit records. The primary dataset consists of 855 structured responses capturing socio-demographic characteristics, travel behavior, and pre-metro travel modes. Descriptive statistics and chi-square tests indicate a statistically significant modal shift (p < 0.05) from private vehicles and intermediate public transport toward metro rail, suggesting a reduction in vehicular kilometers traveled and associated emissions. The secondary dataset (2010–2025) was analyzed using time-series techniques and growth rate estimation to examine carbon emission and credit trends. Results show a steady increase in carbon credit generation alongside a moderation in emission growth rates. Scenario analysis suggests that a 10% increase in metro ridership could reduce transport-related CO₂ emissions by approximately 4–5%, leading to proportional gains in potential carbon credits. Overall, the findings highlight the Pune Metro’s role in reducing emission intensity and strengthening sustainable urban transport planning.","url":"https://doi.org/10.5281/zenodo.19289050","authors":["Chothe NT, Jadhav AG, Kohinkar AB and Dubey VA"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.19289050","addedAt":"2026-08-31T06:39:52.013Z","updatedAt":"2026-08-31T06:39:52.013Z"},{"id":"doi:10.5281/zenodo.19289049","name":"Environmental Impact Analysis of Pune Metro Rail","source":"datacite","abstract":"Rapid urbanization and growing dependence on private motorized transport have intensified traffic congestion and air pollution in Indian metropolitan cities. Mass rapid transit systems such as the Pune Metro are therefore essential for promoting sustainable urban mobility. This study evaluates the environmental impact of the Pune Metro by integrating primary commuter survey data with secondary carbon emission and carbon credit records. The primary dataset consists of 855 structured responses capturing socio-demographic characteristics, travel behavior, and pre-metro travel modes. Descriptive statistics and chi-square tests indicate a statistically significant modal shift (p < 0.05) from private vehicles and intermediate public transport toward metro rail, suggesting a reduction in vehicular kilometers traveled and associated emissions. The secondary dataset (2010–2025) was analyzed using time-series techniques and growth rate estimation to examine carbon emission and credit trends. Results show a steady increase in carbon credit generation alongside a moderation in emission growth rates. Scenario analysis suggests that a 10% increase in metro ridership could reduce transport-related CO₂ emissions by approximately 4–5%, leading to proportional gains in potential carbon credits. Overall, the findings highlight the Pune Metro’s role in reducing emission intensity and strengthening sustainable urban transport planning.","url":"https://doi.org/10.5281/zenodo.19289049","authors":["Chothe NT, Jadhav AG, Kohinkar AB and Dubey VA"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.19289049","addedAt":"2026-08-31T06:39:52.013Z","updatedAt":"2026-08-31T06:39:52.013Z"},{"id":"doi:10.6084/m9.figshare.31258705.v2","name":"<b>Integrated Urban Mobility and Mitigation System Based on Water and Floating Platforms</b> / <b>Propuesta Integrada de Movilidad y Mitigación Urbana Basada en Agua y Plataformas Flotantes</b>","source":"datacite","abstract":"Integrated Urban Mobility and Mitigation System Based on Water and Floating Platforms PLEASE READ/ FAVOR LEER Technical Annex: Integrated Urban System with Water, Floating Platforms, and Amphibious Spherical Vehicles PLEASE READ / FAVOR LEER Riveros, Ricardo (2025). Elevated Urban Water Corridors and Solar-Powered Floating Platforms for Clean Mobility and Urban Heat Reduction. Water-feedback loop for many cities . figshare. Presentation. https://doi.org/10.6084/m9.figshare.30740726.v11 PLEASE READ / FAVOR LEER Riveros, Ricardo (2025). Complementary Hydrodynamic Wave-Assisted Return System for Water-Based Urban Transport Corridors / Sistema Complementario de Retorno Hidrodinámico Asistido por Olas para Corredores Urbanos de Transporte Basado en Agua. figshare. Presentation. https://doi.org/10.6084/m9.figshare.30743411.v1 1. Introduction This project proposes an integrated urban system combining: Green corridors with circulating water , Floating platforms on parallel channels , Amphibious spherical vehicles , Lightweight and ecological urban transport , Urban heat island mitigation and air quality improvement .The goal is to reduce urban temperatures, optimize mobility, and increase the sustainability of medium and large cities , integrating renewable energy, hydraulic engineering, and urban biology. 2. Specific Objectives Reuse piped or urban watercourses through solar-powered hydraulic elevation .Implement parallel elevated channels of treated water along key avenues.Develop modular floating platforms , stable and efficient, based on compressed-air floats.Integrate amphibious spherical vehicles , capable of moving on land and water, reducing single-occupant large vehicles.Incorporate automated urban vegetation , planters irrigated from channels, and linear wetlands.Evaluate impact on urban heat mitigation, pollution reduction, and traffic congestion . 3. Proposed Technology 3.1 Water Elevation Uses low-power pumps, level stations, flow sensors, and solar-powered turbines .Continuous circulation prevents stagnation and ensures irrigation for vegetation. 3.2 Parallel Elevated Channels Channels are located slightly below street level , accessible for maintenance and flow regulation.Treated water can circulate in one or both directions depending on urban design. 3.3 Floating Platforms Base floats using compressed-air tubes , providing stability.Lateral stabilizers and load distribution sensors ensure balance.Platforms move smoothly along channels, either assisted by water flow or electric motors. 3.4 Movement Water is moved by solar-powered low-power turbines , hydraulic recirculation, and controlled flow.Platforms can transport passengers or light cargo, integrating with urban mobility. 3.5 Green Integration Includes longitudinal planters irrigated automatically from the channels.Converts avenues into “green corridors” with trees, low-maintenance plants, and linear wetlands. 4. Amphibious Spherical Vehicles 4.1 Structure and Flotation Hollow sphere with internal air chambers ensures buoyancy in water : F_b = \\rho_{water} \\cdot g \\cdot V_{submerged} \\geq m_{vehicle} \\cdot g 4.2 Movement On land : internal rollers control movement and direction via center-of-gravity shifts. On water : small propellers, water jets, or controlled tilting allow motion. Speed : 15–25 km/h on land, 3–5 km/h in water. 4.3 Stability Internal gyroscopes and electronic control maintain balance and safety. 5. Ecological Integration Evapotranspiration from trees and plants reduces surface temperature by 2–5 °C.Trees and planters naturally filter dust and PM2.5–PM10 particles.Green corridors connect avenues and urban spaces, creating cooler, healthier zones. 6. Energy and Sustainability System powered by solar panels for pumps and turbines.Floating platforms and spherical vehicles use efficient electric motors .Integration of individual and collective transport maximizes energy efficiency. 7. Combined Benefits Sustainable urban transport , reducing empty large","url":"https://doi.org/10.6084/m9.figshare.31258705.v2","authors":["Riveros, Ricardo"],"tags":["Ecological impacts of climate change and ecological adaptation","Environmentally sustainable engineering","Sustainable design","Urban design","Urban hydrology"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.6084/m9.figshare.31258705.v2","addedAt":"2026-08-31T06:39:52.013Z","updatedAt":"2026-08-31T06:39:52.013Z"},{"id":"doi:10.25967/650404","name":"Notlandeassistent für Urban Air Mobility Luftfahrzeuge","source":"datacite","abstract":"Im vorliegenden Paper wird ein Trajektorienplanungsalgorithmus für Urban Air Vehicles mit Flügeln vorgestellt. Der Flugpfad wird approximiert durch eine endliche Zahl quasi-stationärer Kreis- und Geradensegmente im dreidimensionalen Raum. Das zugrunde liegende numerische Optimierungsproblem, für dessen Initialisierung ein zweidimensionaler Dubins-Pfad herangezogen wird, wird schließlich mittels NLP-Solver gelöst. Der Algorithmus wird anhand des Szenarios eines vollständigen Antriebsausfalls beschrieben und demonstriert. Dabei werden drei verschiedene Konstellationen aus Start- und Zielpunkten sowie drei verschiedene Kostenfunktionen betrachtet. Durch geschickte Annahmen, die im hinterlegten Modell getroffen werden, und dank der Initialisierung mit Dubins-Pfad, welche das nichtholonome Flugsystem annähernd abbilden, konvergiert der Algorithmus schnell und zuverlässig.","url":"https://doi.org/10.25967/650404","authors":["Settele, F.","Mothes, F.","Dehm, M.","Knoll, A."],"tags":["Geometrische Pfadplanung","Urban Air Mobility","Notlandeassistent","Nichtlineare Optimierung","rechen-effiziente Trajektorienplanung","DLRK","2025","DGLR"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.25967/650404","addedAt":"2026-08-31T06:39:52.013Z","updatedAt":"2026-08-31T06:39:52.013Z"},{"id":"doi:10.6084/m9.figshare.30740726.v10","name":"<b>Elevated Urban Water Corridors and Solar-Powered Floating Platforms for Clean Mobility and Urban Heat Reduction. Water-feedback loop for many cities </b>","source":"datacite","abstract":"Corredores Urbanos de Agua Elevada y Plataformas Flotantes Solares para Movilidad Limpia y Reducción del Calor Urbano 1. Resumen Muchas ciudades del mundo poseen ríos o arroyos entubados bajo grandes avenidas. Estas corrientes de agua, actualmente ocultas y desaprovechadas, podrían elevarse a niveles próximos a la superficie para generar corredores de agua destinados a mitigar el calor urbano, irrigar vegetación y servir como base para plataformas flotantes de transporte sustentable. La presente propuesta describe un sistema integrado donde canales paralelos de agua tratada sostienen plataformas flotantes apoyadas en tubos de aire comprimido, con movimiento regulado por turbinas hidráulicas alimentadas por energía solar. El sistema combina hidrología urbana, movilidad limpia y microclimatización sostenible. 2. Introducción y Justificación Científica Las ciudades enfrentan tres problemas críticos: Islas de calor urbano : Las grandes avenidas absorben radiación y elevan la temperatura entre 2 y 7 °C respecto a zonas verdes. Infraestructura subterránea desaprovechada : En muchas metrópolis, ríos y arroyos fueron entubados por razones sanitarias o urbanísticas. Emisiones del transporte : La movilidad basada en combustibles fósiles sigue siendo uno de los principales contaminantes urbanos.Ejemplos de ciudades con cursos de agua entubados: Buenos Aires, São Paulo, Ciudad de México, Madrid, Seúl y Los Ángeles. Algunas (Seúl) han demostrado que restaurar o elevar el agua reduce significativamente la temperatura local y mejora la calidad del aire.La propuesta apunta a transformar esta infraestructura subterránea en un recurso ambiental y social. 3. Objetivos Objetivo general Desarrollar un sistema urbano basado en agua elevada y plataformas flotantes para reducir la temperatura urbana, mejorar la vegetación y ofrecer transporte de baja energía. Objetivos específicos Reutilizar cursos de agua entubados mediante elevación hidráulica.Implementar canales paralelos de agua tratada sobre avenidas.Desarrollar plataformas flotantes basadas en tubos de aire comprimido (principio de Arquímedes).Incorporar turbinas solares para circulación del agua.Integrar riego automatizado mediante derivaciones de cada canal.Evaluar el impacto en la mitigación de calor urbano. 4. Tecnología Propuesta 4.1 Elevación del agua Se utilizan:bombas de baja energía,estaciones de nivel,sensores de flujo,turbinas impulsadas por energía solar.Esto permite mantener el agua circulando de manera continua sin riesgo de estancamiento. 4.2 Canales paralelos elevados Los canales se ubican bajo la superficie de la avenida , pero a muy poca profundidad , permitiendo accesibilidad para mantenimiento y regulación. El agua tratada circula en ambos sentidos o en un único sentido, según el diseño urbano. 4.3 Plataformas flotantes La base flotante funciona con: tubos de aire comprimido (similares a los flotadores de hidroaviones),estabilizadores laterales,sensores de distribución de carga,estructura liviana y rígida.La plataforma se apoya simultáneamente en ambos canales, permitiendo un desplazamiento lineal suave y sin rieles sólidos. 4.4 Movimiento El agua en los canales se mueve mediante:turbinas solares de baja potencia,sistemas de recirculación hidráulica,control de caudal para regular velocidad de las plataformas. 4.5 Integración verde Se incluyen maceteros longitudinales irrigados automáticamente desde los canales laterales.Esto convierte avenidas en “corredores verdes” con:árboles de bajo mantenimiento,plantas perennes,humedales lineales controlados. 5. Sustento Científico 5.1 Principios hidrológicos La elevación de agua subterránea es un procedimiento estándar en ingeniería civil. La circulación superficial contribuye a: reducción térmica por evaporación,disipación de calor por conducción y convección,creación de microclimas frescos. 5.2 Principios de flotación (Arquímedes) Los tubos con aire comprimido generan suficiente flotabilidad para sostener plataformas livianas. Modelo","url":"https://doi.org/10.6084/m9.figshare.30740726.v10","authors":["Riveros, Ricardo"],"tags":["Ecological impacts of climate change and ecological adaptation","Environmentally sustainable engineering","Urban design","Urban hydrology"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.6084/m9.figshare.30740726.v10","addedAt":"2026-08-31T06:39:52.013Z","updatedAt":"2026-08-31T06:39:52.013Z"},{"id":"doi:10.6084/m9.figshare.30740726.v11","name":"<b>Elevated Urban Water Corridors and Solar-Powered Floating Platforms for Clean Mobility and Urban Heat Reduction. Water-feedback loop for many cities </b>","source":"datacite","abstract":"Corredores Urbanos de Agua Elevada y Plataformas Flotantes Solares para Movilidad Limpia y Reducción del Calor Urbano 1. Resumen Muchas ciudades del mundo poseen ríos o arroyos entubados bajo grandes avenidas. Estas corrientes de agua, actualmente ocultas y desaprovechadas, podrían elevarse a niveles próximos a la superficie para generar corredores de agua destinados a mitigar el calor urbano, irrigar vegetación y servir como base para plataformas flotantes de transporte sustentable. La presente propuesta describe un sistema integrado donde canales paralelos de agua tratada sostienen plataformas flotantes apoyadas en tubos de aire comprimido, con movimiento regulado por turbinas hidráulicas alimentadas por energía solar. El sistema combina hidrología urbana, movilidad limpia y microclimatización sostenible. 2. Introducción y Justificación Científica Las ciudades enfrentan tres problemas críticos: Islas de calor urbano : Las grandes avenidas absorben radiación y elevan la temperatura entre 2 y 7 °C respecto a zonas verdes. Infraestructura subterránea desaprovechada : En muchas metrópolis, ríos y arroyos fueron entubados por razones sanitarias o urbanísticas. Emisiones del transporte : La movilidad basada en combustibles fósiles sigue siendo uno de los principales contaminantes urbanos.Ejemplos de ciudades con cursos de agua entubados: Buenos Aires, São Paulo, Ciudad de México, Madrid, Seúl y Los Ángeles. Algunas (Seúl) han demostrado que restaurar o elevar el agua reduce significativamente la temperatura local y mejora la calidad del aire.La propuesta apunta a transformar esta infraestructura subterránea en un recurso ambiental y social. 3. Objetivos Objetivo general Desarrollar un sistema urbano basado en agua elevada y plataformas flotantes para reducir la temperatura urbana, mejorar la vegetación y ofrecer transporte de baja energía. Objetivos específicos Reutilizar cursos de agua entubados mediante elevación hidráulica.Implementar canales paralelos de agua tratada sobre avenidas.Desarrollar plataformas flotantes basadas en tubos de aire comprimido (principio de Arquímedes).Incorporar turbinas solares para circulación del agua.Integrar riego automatizado mediante derivaciones de cada canal.Evaluar el impacto en la mitigación de calor urbano. 4. Tecnología Propuesta 4.1 Elevación del agua Se utilizan:bombas de baja energía,estaciones de nivel,sensores de flujo,turbinas impulsadas por energía solar.Esto permite mantener el agua circulando de manera continua sin riesgo de estancamiento. 4.2 Canales paralelos elevados Los canales se ubican bajo la superficie de la avenida , pero a muy poca profundidad , permitiendo accesibilidad para mantenimiento y regulación. El agua tratada circula en ambos sentidos o en un único sentido, según el diseño urbano. 4.3 Plataformas flotantes La base flotante funciona con: tubos de aire comprimido (similares a los flotadores de hidroaviones),estabilizadores laterales,sensores de distribución de carga,estructura liviana y rígida.La plataforma se apoya simultáneamente en ambos canales, permitiendo un desplazamiento lineal suave y sin rieles sólidos. 4.4 Movimiento El agua en los canales se mueve mediante:turbinas solares de baja potencia,sistemas de recirculación hidráulica,control de caudal para regular velocidad de las plataformas. 4.5 Integración verde Se incluyen maceteros longitudinales irrigados automáticamente desde los canales laterales.Esto convierte avenidas en “corredores verdes” con:árboles de bajo mantenimiento,plantas perennes,humedales lineales controlados. 5. Sustento Científico 5.1 Principios hidrológicos La elevación de agua subterránea es un procedimiento estándar en ingeniería civil. La circulación superficial contribuye a: reducción térmica por evaporación,disipación de calor por conducción y convección,creación de microclimas frescos. 5.2 Principios de flotación (Arquímedes) Los tubos con aire comprimido generan suficiente flotabilidad para sostener plataformas livianas. Modelo","url":"https://doi.org/10.6084/m9.figshare.30740726.v11","authors":["Riveros, Ricardo"],"tags":["Ecological impacts of climate change and ecological adaptation","Environmentally sustainable engineering","Urban design","Urban hydrology"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.6084/m9.figshare.30740726.v11","addedAt":"2026-08-31T06:39:52.013Z","updatedAt":"2026-08-31T06:39:52.013Z"},{"id":"doi:10.6084/m9.figshare.31022107.v6","name":"<b>Integrated Suburban Waterborne Transport and Progressive Desalination System for Urban Water Supply and Climate Cooling</b> / <b>Sistema Integrado de Transporte Acuático Suburbano y Desalinización Progresiva para Abastecimiento Urbano y Enfriamiento Climático</b>","source":"datacite","abstract":"Sistema Integrado de Transporte Acuático Suburbano y Desalinización Progresiva para Abastecimiento Urbano y Enfriamiento Climático Resumen Se presenta un sistema integrado de infraestructura territorial destinado a ciudades ubicadas a distancias moderadas del mar, que combina transporte acuático suburbano de baja energía, desalinización progresiva de agua de mar, producción distribuida de agua potable y creación de cinturones verdes periurbanos. El sistema utiliza canales con pendiente suave para la circulación de plataformas flotantes de transporte de personas, mientras el agua de mar es desalinizada gradualmente mediante módulos térmicos pasivos (tanques tipo “pulpo” y sistemas de evaporación-condensación modulares). El agua dulce resultante se destina al consumo urbano y al riego de corredores verdes que reducen la isla de calor urbana. La propuesta está diseñada como solución implementable con tecnologías existentes, sin requerir desarrollos experimentales ni materiales especiales. 1. Introducción El crecimiento urbano, el aumento de temperaturas extremas y la escasez hídrica están convergiendo en un problema sistémico que no puede resolverse mediante soluciones aisladas. Las ciudades costeras o cercanas al mar enfrentan simultáneamente desafíos de movilidad suburbana, disponibilidad de agua potable, consumo energético elevado y aumento de la temperatura urbana. Este trabajo propone una infraestructura integrada que aborda estos desafíos de manera simultánea, utilizando principios físicos conocidos y tecnologías de bajo costo operativo. 2. Principios físicos y tecnológicos El sistema se fundamenta en principios ampliamente validados:Circulación de agua por gravedad en canales de pendiente mínima.Flotación para transporte de plataformas sin consumo energético directo.Evaporación y condensación térmica para desalinización.Enfriamiento ambiental mediante evapotranspiración vegetal.Modularidad para adaptación territorial.No se emplean procesos de alta presión, membranas complejas ni consumos energéticos intensivos. 3. Descripción del sistema 3.1 Canales acuáticos suburbano–urbanosSe construyen dos canales paralelos de agua, con pendiente suave, desde zonas suburbanas hacia el núcleo urbano. Sobre estos canales circulan plataformas flotantes destinadas al transporte de personas, permitiendo movilidad continua sin motores de combustión interna.3.2 Alimentación con agua de marEl sistema se alimenta con agua de mar captada en la costa. El agua ingresa a los canales y comienza un proceso de tratamiento progresivo a lo largo del recorrido hacia la ciudad.3.3 Desalinización progresiva distribuidaA lo largo del trayecto se instalan módulos de desalinización pasiva:Tanques térmicos tipo “pulpo” que aprovechan aire caliente ascendente.Sistemas de evaporación-condensación modulares (“cajitas chinas”).Estos módulos elevan gradualmente la temperatura del agua, permitiendo la separación de vapor y su posterior condensación como agua dulce.3.4 Producción y uso del agua dulceEl agua dulce obtenida se utiliza para:Abastecimiento urbano.Riego de cinturones verdes periurbanos.Alimentación de reservorios subterráneos para estabilización térmica. 4. Enfriamiento urbano y cinturones verdes En las cercanías de la ciudad, el agua ya desalinizada se emplea para el riego de corredores y cinturones verdes estratégicamente ubicados. Estos sistemas vegetales reducen la temperatura del aire mediante evapotranspiración, disminuyen la isla de calor urbana y mejoran la calidad ambiental. 5. Integración con infraestructura urbana Al ingresar a la ciudad, los canales se conectan con sistemas urbanos existentes de plataformas acuáticas, formando una red continua de movilidad y gestión hídrica. El sistema no compite con la infraestructura urbana, sino que la complementa y refuerza. 6. Beneficios principales Transporte suburbano ecológico sin emisiones directas.Producción distribuida de agua potable a bajo costo energético.Reducción de temperaturas urbanas extrema","url":"https://doi.org/10.6084/m9.figshare.31022107.v6","authors":["Riveros, Ricardo"],"tags":["Ecological impacts of climate change and ecological adaptation","Global and planetary environmental engineering","Land use and environmental planning","Environmentally sustainable engineering"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.6084/m9.figshare.31022107.v6","addedAt":"2026-08-31T06:39:52.013Z","updatedAt":"2026-08-31T06:39:52.013Z"},{"id":"doi:10.6084/m9.figshare.31022107.v7","name":"<b>Integrated Suburban Waterborne Transport and Progressive Desalination System for Urban Water Supply and Climate Cooling</b> / <b>Sistema Integrado de Transporte Acuático Suburbano y Desalinización Progresiva para Abastecimiento Urbano y Enfriamiento Climático</b>","source":"datacite","abstract":"Sistema Integrado de Transporte Acuático Suburbano y Desalinización Progresiva para Abastecimiento Urbano y Enfriamiento Climático Resumen Se presenta un sistema integrado de infraestructura territorial destinado a ciudades ubicadas a distancias moderadas del mar, que combina transporte acuático suburbano de baja energía, desalinización progresiva de agua de mar, producción distribuida de agua potable y creación de cinturones verdes periurbanos. El sistema utiliza canales con pendiente suave para la circulación de plataformas flotantes de transporte de personas, mientras el agua de mar es desalinizada gradualmente mediante módulos térmicos pasivos (tanques tipo “pulpo” y sistemas de evaporación-condensación modulares). El agua dulce resultante se destina al consumo urbano y al riego de corredores verdes que reducen la isla de calor urbana. La propuesta está diseñada como solución implementable con tecnologías existentes, sin requerir desarrollos experimentales ni materiales especiales. 1. Introducción El crecimiento urbano, el aumento de temperaturas extremas y la escasez hídrica están convergiendo en un problema sistémico que no puede resolverse mediante soluciones aisladas. Las ciudades costeras o cercanas al mar enfrentan simultáneamente desafíos de movilidad suburbana, disponibilidad de agua potable, consumo energético elevado y aumento de la temperatura urbana. Este trabajo propone una infraestructura integrada que aborda estos desafíos de manera simultánea, utilizando principios físicos conocidos y tecnologías de bajo costo operativo. 2. Principios físicos y tecnológicos El sistema se fundamenta en principios ampliamente validados:Circulación de agua por gravedad en canales de pendiente mínima.Flotación para transporte de plataformas sin consumo energético directo.Evaporación y condensación térmica para desalinización.Enfriamiento ambiental mediante evapotranspiración vegetal.Modularidad para adaptación territorial.No se emplean procesos de alta presión, membranas complejas ni consumos energéticos intensivos. 3. Descripción del sistema 3.1 Canales acuáticos suburbano–urbanosSe construyen dos canales paralelos de agua, con pendiente suave, desde zonas suburbanas hacia el núcleo urbano. Sobre estos canales circulan plataformas flotantes destinadas al transporte de personas, permitiendo movilidad continua sin motores de combustión interna.3.2 Alimentación con agua de marEl sistema se alimenta con agua de mar captada en la costa. El agua ingresa a los canales y comienza un proceso de tratamiento progresivo a lo largo del recorrido hacia la ciudad.3.3 Desalinización progresiva distribuidaA lo largo del trayecto se instalan módulos de desalinización pasiva:Tanques térmicos tipo “pulpo” que aprovechan aire caliente ascendente.Sistemas de evaporación-condensación modulares (“cajitas chinas”).Estos módulos elevan gradualmente la temperatura del agua, permitiendo la separación de vapor y su posterior condensación como agua dulce.3.4 Producción y uso del agua dulceEl agua dulce obtenida se utiliza para:Abastecimiento urbano.Riego de cinturones verdes periurbanos.Alimentación de reservorios subterráneos para estabilización térmica. 4. Enfriamiento urbano y cinturones verdes En las cercanías de la ciudad, el agua ya desalinizada se emplea para el riego de corredores y cinturones verdes estratégicamente ubicados. Estos sistemas vegetales reducen la temperatura del aire mediante evapotranspiración, disminuyen la isla de calor urbana y mejoran la calidad ambiental. 5. Integración con infraestructura urbana Al ingresar a la ciudad, los canales se conectan con sistemas urbanos existentes de plataformas acuáticas, formando una red continua de movilidad y gestión hídrica. El sistema no compite con la infraestructura urbana, sino que la complementa y refuerza. 6. Beneficios principales Transporte suburbano ecológico sin emisiones directas.Producción distribuida de agua potable a bajo costo energético.Reducción de temperaturas urbanas extrema","url":"https://doi.org/10.6084/m9.figshare.31022107.v7","authors":["Riveros, Ricardo"],"tags":["Ecological impacts of climate change and ecological adaptation","Global and planetary environmental engineering","Land use and environmental planning","Environmentally sustainable engineering"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.6084/m9.figshare.31022107.v7","addedAt":"2026-08-31T06:39:52.013Z","updatedAt":"2026-08-31T06:39:52.013Z"},{"id":"doi:10.6084/m9.figshare.31022107.v5","name":"<b>Integrated Suburban Waterborne Transport and Progressive Desalination System for Urban Water Supply and Climate Cooling</b> / <b>Sistema Integrado de Transporte Acuático Suburbano y Desalinización Progresiva para Abastecimiento Urbano y Enfriamiento Climático</b>","source":"datacite","abstract":"Sistema Integrado de Transporte Acuático Suburbano y Desalinización Progresiva para Abastecimiento Urbano y Enfriamiento Climático Resumen Se presenta un sistema integrado de infraestructura territorial destinado a ciudades ubicadas a distancias moderadas del mar, que combina transporte acuático suburbano de baja energía, desalinización progresiva de agua de mar, producción distribuida de agua potable y creación de cinturones verdes periurbanos. El sistema utiliza canales con pendiente suave para la circulación de plataformas flotantes de transporte de personas, mientras el agua de mar es desalinizada gradualmente mediante módulos térmicos pasivos (tanques tipo “pulpo” y sistemas de evaporación-condensación modulares). El agua dulce resultante se destina al consumo urbano y al riego de corredores verdes que reducen la isla de calor urbana. La propuesta está diseñada como solución implementable con tecnologías existentes, sin requerir desarrollos experimentales ni materiales especiales. 1. Introducción El crecimiento urbano, el aumento de temperaturas extremas y la escasez hídrica están convergiendo en un problema sistémico que no puede resolverse mediante soluciones aisladas. Las ciudades costeras o cercanas al mar enfrentan simultáneamente desafíos de movilidad suburbana, disponibilidad de agua potable, consumo energético elevado y aumento de la temperatura urbana. Este trabajo propone una infraestructura integrada que aborda estos desafíos de manera simultánea, utilizando principios físicos conocidos y tecnologías de bajo costo operativo. 2. Principios físicos y tecnológicos El sistema se fundamenta en principios ampliamente validados:Circulación de agua por gravedad en canales de pendiente mínima.Flotación para transporte de plataformas sin consumo energético directo.Evaporación y condensación térmica para desalinización.Enfriamiento ambiental mediante evapotranspiración vegetal.Modularidad para adaptación territorial.No se emplean procesos de alta presión, membranas complejas ni consumos energéticos intensivos. 3. Descripción del sistema 3.1 Canales acuáticos suburbano–urbanosSe construyen dos canales paralelos de agua, con pendiente suave, desde zonas suburbanas hacia el núcleo urbano. Sobre estos canales circulan plataformas flotantes destinadas al transporte de personas, permitiendo movilidad continua sin motores de combustión interna.3.2 Alimentación con agua de marEl sistema se alimenta con agua de mar captada en la costa. El agua ingresa a los canales y comienza un proceso de tratamiento progresivo a lo largo del recorrido hacia la ciudad.3.3 Desalinización progresiva distribuidaA lo largo del trayecto se instalan módulos de desalinización pasiva:Tanques térmicos tipo “pulpo” que aprovechan aire caliente ascendente.Sistemas de evaporación-condensación modulares (“cajitas chinas”).Estos módulos elevan gradualmente la temperatura del agua, permitiendo la separación de vapor y su posterior condensación como agua dulce.3.4 Producción y uso del agua dulceEl agua dulce obtenida se utiliza para:Abastecimiento urbano.Riego de cinturones verdes periurbanos.Alimentación de reservorios subterráneos para estabilización térmica. 4. Enfriamiento urbano y cinturones verdes En las cercanías de la ciudad, el agua ya desalinizada se emplea para el riego de corredores y cinturones verdes estratégicamente ubicados. Estos sistemas vegetales reducen la temperatura del aire mediante evapotranspiración, disminuyen la isla de calor urbana y mejoran la calidad ambiental. 5. Integración con infraestructura urbana Al ingresar a la ciudad, los canales se conectan con sistemas urbanos existentes de plataformas acuáticas, formando una red continua de movilidad y gestión hídrica. El sistema no compite con la infraestructura urbana, sino que la complementa y refuerza. 6. Beneficios principales Transporte suburbano ecológico sin emisiones directas.Producción distribuida de agua potable a bajo costo energético.Reducción de temperaturas urbanas extrema","url":"https://doi.org/10.6084/m9.figshare.31022107.v5","authors":["Riveros, Ricardo"],"tags":["Ecological impacts of climate change and ecological adaptation","Global and planetary environmental engineering","Land use and environmental planning","Environmentally sustainable engineering"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.6084/m9.figshare.31022107.v5","addedAt":"2026-08-31T06:39:52.013Z","updatedAt":"2026-08-31T06:39:52.013Z"},{"id":"doi:10.6084/m9.figshare.31022107.v4","name":"<b>Integrated Suburban Waterborne Transport and Progressive Desalination System for Urban Water Supply and Climate Cooling</b> / <b>Sistema Integrado de Transporte Acuático Suburbano y Desalinización Progresiva para Abastecimiento Urbano y Enfriamiento Climático</b>","source":"datacite","abstract":"Sistema Integrado de Transporte Acuático Suburbano y Desalinización Progresiva para Abastecimiento Urbano y Enfriamiento Climático Resumen Se presenta un sistema integrado de infraestructura territorial destinado a ciudades ubicadas a distancias moderadas del mar, que combina transporte acuático suburbano de baja energía, desalinización progresiva de agua de mar, producción distribuida de agua potable y creación de cinturones verdes periurbanos. El sistema utiliza canales con pendiente suave para la circulación de plataformas flotantes de transporte de personas, mientras el agua de mar es desalinizada gradualmente mediante módulos térmicos pasivos (tanques tipo “pulpo” y sistemas de evaporación-condensación modulares). El agua dulce resultante se destina al consumo urbano y al riego de corredores verdes que reducen la isla de calor urbana. La propuesta está diseñada como solución implementable con tecnologías existentes, sin requerir desarrollos experimentales ni materiales especiales. 1. Introducción El crecimiento urbano, el aumento de temperaturas extremas y la escasez hídrica están convergiendo en un problema sistémico que no puede resolverse mediante soluciones aisladas. Las ciudades costeras o cercanas al mar enfrentan simultáneamente desafíos de movilidad suburbana, disponibilidad de agua potable, consumo energético elevado y aumento de la temperatura urbana. Este trabajo propone una infraestructura integrada que aborda estos desafíos de manera simultánea, utilizando principios físicos conocidos y tecnologías de bajo costo operativo. 2. Principios físicos y tecnológicos El sistema se fundamenta en principios ampliamente validados:Circulación de agua por gravedad en canales de pendiente mínima.Flotación para transporte de plataformas sin consumo energético directo.Evaporación y condensación térmica para desalinización.Enfriamiento ambiental mediante evapotranspiración vegetal.Modularidad para adaptación territorial.No se emplean procesos de alta presión, membranas complejas ni consumos energéticos intensivos. 3. Descripción del sistema 3.1 Canales acuáticos suburbano–urbanosSe construyen dos canales paralelos de agua, con pendiente suave, desde zonas suburbanas hacia el núcleo urbano. Sobre estos canales circulan plataformas flotantes destinadas al transporte de personas, permitiendo movilidad continua sin motores de combustión interna.3.2 Alimentación con agua de marEl sistema se alimenta con agua de mar captada en la costa. El agua ingresa a los canales y comienza un proceso de tratamiento progresivo a lo largo del recorrido hacia la ciudad.3.3 Desalinización progresiva distribuidaA lo largo del trayecto se instalan módulos de desalinización pasiva:Tanques térmicos tipo “pulpo” que aprovechan aire caliente ascendente.Sistemas de evaporación-condensación modulares (“cajitas chinas”).Estos módulos elevan gradualmente la temperatura del agua, permitiendo la separación de vapor y su posterior condensación como agua dulce.3.4 Producción y uso del agua dulceEl agua dulce obtenida se utiliza para:Abastecimiento urbano.Riego de cinturones verdes periurbanos.Alimentación de reservorios subterráneos para estabilización térmica. 4. Enfriamiento urbano y cinturones verdes En las cercanías de la ciudad, el agua ya desalinizada se emplea para el riego de corredores y cinturones verdes estratégicamente ubicados. Estos sistemas vegetales reducen la temperatura del aire mediante evapotranspiración, disminuyen la isla de calor urbana y mejoran la calidad ambiental. 5. Integración con infraestructura urbana Al ingresar a la ciudad, los canales se conectan con sistemas urbanos existentes de plataformas acuáticas, formando una red continua de movilidad y gestión hídrica. El sistema no compite con la infraestructura urbana, sino que la complementa y refuerza. 6. Beneficios principales Transporte suburbano ecológico sin emisiones directas.Producción distribuida de agua potable a bajo costo energético.Reducción de temperaturas urbanas extrema","url":"https://doi.org/10.6084/m9.figshare.31022107.v4","authors":["Riveros, Ricardo"],"tags":["Ecological impacts of climate change and ecological adaptation","Global and planetary environmental engineering","Land use and environmental planning","Environmentally sustainable engineering"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.6084/m9.figshare.31022107.v4","addedAt":"2026-08-31T06:39:52.013Z","updatedAt":"2026-08-31T06:39:52.013Z"},{"id":"doi:10.6084/m9.figshare.31022107.v3","name":"<b>Integrated Suburban Waterborne Transport and Progressive Desalination System for Urban Water Supply and Climate Cooling</b> / <b>Sistema Integrado de Transporte Acuático Suburbano y Desalinización Progresiva para Abastecimiento Urbano y Enfriamiento Climático</b>","source":"datacite","abstract":"Sistema Integrado de Transporte Acuático Suburbano y Desalinización Progresiva para Abastecimiento Urbano y Enfriamiento Climático Resumen Se presenta un sistema integrado de infraestructura territorial destinado a ciudades ubicadas a distancias moderadas del mar, que combina transporte acuático suburbano de baja energía, desalinización progresiva de agua de mar, producción distribuida de agua potable y creación de cinturones verdes periurbanos. El sistema utiliza canales con pendiente suave para la circulación de plataformas flotantes de transporte de personas, mientras el agua de mar es desalinizada gradualmente mediante módulos térmicos pasivos (tanques tipo “pulpo” y sistemas de evaporación-condensación modulares). El agua dulce resultante se destina al consumo urbano y al riego de corredores verdes que reducen la isla de calor urbana. La propuesta está diseñada como solución implementable con tecnologías existentes, sin requerir desarrollos experimentales ni materiales especiales. 1. Introducción El crecimiento urbano, el aumento de temperaturas extremas y la escasez hídrica están convergiendo en un problema sistémico que no puede resolverse mediante soluciones aisladas. Las ciudades costeras o cercanas al mar enfrentan simultáneamente desafíos de movilidad suburbana, disponibilidad de agua potable, consumo energético elevado y aumento de la temperatura urbana. Este trabajo propone una infraestructura integrada que aborda estos desafíos de manera simultánea, utilizando principios físicos conocidos y tecnologías de bajo costo operativo. 2. Principios físicos y tecnológicos El sistema se fundamenta en principios ampliamente validados:Circulación de agua por gravedad en canales de pendiente mínima.Flotación para transporte de plataformas sin consumo energético directo.Evaporación y condensación térmica para desalinización.Enfriamiento ambiental mediante evapotranspiración vegetal.Modularidad para adaptación territorial.No se emplean procesos de alta presión, membranas complejas ni consumos energéticos intensivos. 3. Descripción del sistema 3.1 Canales acuáticos suburbano–urbanosSe construyen dos canales paralelos de agua, con pendiente suave, desde zonas suburbanas hacia el núcleo urbano. Sobre estos canales circulan plataformas flotantes destinadas al transporte de personas, permitiendo movilidad continua sin motores de combustión interna.3.2 Alimentación con agua de marEl sistema se alimenta con agua de mar captada en la costa. El agua ingresa a los canales y comienza un proceso de tratamiento progresivo a lo largo del recorrido hacia la ciudad.3.3 Desalinización progresiva distribuidaA lo largo del trayecto se instalan módulos de desalinización pasiva:Tanques térmicos tipo “pulpo” que aprovechan aire caliente ascendente.Sistemas de evaporación-condensación modulares (“cajitas chinas”).Estos módulos elevan gradualmente la temperatura del agua, permitiendo la separación de vapor y su posterior condensación como agua dulce.3.4 Producción y uso del agua dulceEl agua dulce obtenida se utiliza para:Abastecimiento urbano.Riego de cinturones verdes periurbanos.Alimentación de reservorios subterráneos para estabilización térmica. 4. Enfriamiento urbano y cinturones verdes En las cercanías de la ciudad, el agua ya desalinizada se emplea para el riego de corredores y cinturones verdes estratégicamente ubicados. Estos sistemas vegetales reducen la temperatura del aire mediante evapotranspiración, disminuyen la isla de calor urbana y mejoran la calidad ambiental. 5. Integración con infraestructura urbana Al ingresar a la ciudad, los canales se conectan con sistemas urbanos existentes de plataformas acuáticas, formando una red continua de movilidad y gestión hídrica. El sistema no compite con la infraestructura urbana, sino que la complementa y refuerza. 6. Beneficios principales Transporte suburbano ecológico sin emisiones directas.Producción distribuida de agua potable a bajo costo energético.Reducción de temperaturas urbanas extrema","url":"https://doi.org/10.6084/m9.figshare.31022107.v3","authors":["Riveros, Ricardo"],"tags":["Ecological impacts of climate change and ecological adaptation","Global and planetary environmental engineering","Land use and environmental planning","Environmentally sustainable engineering"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.6084/m9.figshare.31022107.v3","addedAt":"2026-08-31T06:39:52.013Z","updatedAt":"2026-08-31T06:39:52.013Z"},{"id":"doi:10.6084/m9.figshare.31022107.v2","name":"<b>Integrated Suburban Waterborne Transport and Progressive Desalination System for Urban Water Supply and Climate Cooling</b> / <b>Sistema Integrado de Transporte Acuático Suburbano y Desalinización Progresiva para Abastecimiento Urbano y Enfriamiento Climático</b>","source":"datacite","abstract":"Sistema Integrado de Transporte Acuático Suburbano y Desalinización Progresiva para Abastecimiento Urbano y Enfriamiento Climático Resumen Se presenta un sistema integrado de infraestructura territorial destinado a ciudades ubicadas a distancias moderadas del mar, que combina transporte acuático suburbano de baja energía, desalinización progresiva de agua de mar, producción distribuida de agua potable y creación de cinturones verdes periurbanos. El sistema utiliza canales con pendiente suave para la circulación de plataformas flotantes de transporte de personas, mientras el agua de mar es desalinizada gradualmente mediante módulos térmicos pasivos (tanques tipo “pulpo” y sistemas de evaporación-condensación modulares). El agua dulce resultante se destina al consumo urbano y al riego de corredores verdes que reducen la isla de calor urbana. La propuesta está diseñada como solución implementable con tecnologías existentes, sin requerir desarrollos experimentales ni materiales especiales. 1. Introducción El crecimiento urbano, el aumento de temperaturas extremas y la escasez hídrica están convergiendo en un problema sistémico que no puede resolverse mediante soluciones aisladas. Las ciudades costeras o cercanas al mar enfrentan simultáneamente desafíos de movilidad suburbana, disponibilidad de agua potable, consumo energético elevado y aumento de la temperatura urbana. Este trabajo propone una infraestructura integrada que aborda estos desafíos de manera simultánea, utilizando principios físicos conocidos y tecnologías de bajo costo operativo. 2. Principios físicos y tecnológicos El sistema se fundamenta en principios ampliamente validados:Circulación de agua por gravedad en canales de pendiente mínima.Flotación para transporte de plataformas sin consumo energético directo.Evaporación y condensación térmica para desalinización.Enfriamiento ambiental mediante evapotranspiración vegetal.Modularidad para adaptación territorial.No se emplean procesos de alta presión, membranas complejas ni consumos energéticos intensivos. 3. Descripción del sistema 3.1 Canales acuáticos suburbano–urbanosSe construyen dos canales paralelos de agua, con pendiente suave, desde zonas suburbanas hacia el núcleo urbano. Sobre estos canales circulan plataformas flotantes destinadas al transporte de personas, permitiendo movilidad continua sin motores de combustión interna.3.2 Alimentación con agua de marEl sistema se alimenta con agua de mar captada en la costa. El agua ingresa a los canales y comienza un proceso de tratamiento progresivo a lo largo del recorrido hacia la ciudad.3.3 Desalinización progresiva distribuidaA lo largo del trayecto se instalan módulos de desalinización pasiva:Tanques térmicos tipo “pulpo” que aprovechan aire caliente ascendente.Sistemas de evaporación-condensación modulares (“cajitas chinas”).Estos módulos elevan gradualmente la temperatura del agua, permitiendo la separación de vapor y su posterior condensación como agua dulce.3.4 Producción y uso del agua dulceEl agua dulce obtenida se utiliza para:Abastecimiento urbano.Riego de cinturones verdes periurbanos.Alimentación de reservorios subterráneos para estabilización térmica. 4. Enfriamiento urbano y cinturones verdes En las cercanías de la ciudad, el agua ya desalinizada se emplea para el riego de corredores y cinturones verdes estratégicamente ubicados. Estos sistemas vegetales reducen la temperatura del aire mediante evapotranspiración, disminuyen la isla de calor urbana y mejoran la calidad ambiental. 5. Integración con infraestructura urbana Al ingresar a la ciudad, los canales se conectan con sistemas urbanos existentes de plataformas acuáticas, formando una red continua de movilidad y gestión hídrica. El sistema no compite con la infraestructura urbana, sino que la complementa y refuerza. 6. Beneficios principales Transporte suburbano ecológico sin emisiones directas.Producción distribuida de agua potable a bajo costo energético.Reducción de temperaturas urbanas extrema","url":"https://doi.org/10.6084/m9.figshare.31022107.v2","authors":["Riveros, Ricardo"],"tags":["Ecological impacts of climate change and ecological adaptation","Global and planetary environmental engineering","Land use and environmental planning","Environmentally sustainable engineering"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.6084/m9.figshare.31022107.v2","addedAt":"2026-08-31T06:39:52.013Z","updatedAt":"2026-08-31T06:39:52.013Z"},{"id":"doi:10.6084/m9.figshare.31022107.v1","name":"<b>Integrated Suburban Waterborne Transport and Progressive Desalination System for Urban Water Supply and Climate Cooling</b> / <b>Sistema Integrado de Transporte Acuático Suburbano y Desalinización Progresiva para Abastecimiento Urbano y Enfriamiento Climático</b>","source":"datacite","abstract":"Sistema Integrado de Transporte Acuático Suburbano y Desalinización Progresiva para Abastecimiento Urbano y Enfriamiento Climático Resumen Se presenta un sistema integrado de infraestructura territorial destinado a ciudades ubicadas a distancias moderadas del mar, que combina transporte acuático suburbano de baja energía, desalinización progresiva de agua de mar, producción distribuida de agua potable y creación de cinturones verdes periurbanos. El sistema utiliza canales con pendiente suave para la circulación de plataformas flotantes de transporte de personas, mientras el agua de mar es desalinizada gradualmente mediante módulos térmicos pasivos (tanques tipo “pulpo” y sistemas de evaporación-condensación modulares). El agua dulce resultante se destina al consumo urbano y al riego de corredores verdes que reducen la isla de calor urbana. La propuesta está diseñada como solución implementable con tecnologías existentes, sin requerir desarrollos experimentales ni materiales especiales. 1. Introducción El crecimiento urbano, el aumento de temperaturas extremas y la escasez hídrica están convergiendo en un problema sistémico que no puede resolverse mediante soluciones aisladas. Las ciudades costeras o cercanas al mar enfrentan simultáneamente desafíos de movilidad suburbana, disponibilidad de agua potable, consumo energético elevado y aumento de la temperatura urbana. Este trabajo propone una infraestructura integrada que aborda estos desafíos de manera simultánea, utilizando principios físicos conocidos y tecnologías de bajo costo operativo. 2. Principios físicos y tecnológicos El sistema se fundamenta en principios ampliamente validados:Circulación de agua por gravedad en canales de pendiente mínima.Flotación para transporte de plataformas sin consumo energético directo.Evaporación y condensación térmica para desalinización.Enfriamiento ambiental mediante evapotranspiración vegetal.Modularidad para adaptación territorial.No se emplean procesos de alta presión, membranas complejas ni consumos energéticos intensivos. 3. Descripción del sistema 3.1 Canales acuáticos suburbano–urbanosSe construyen dos canales paralelos de agua, con pendiente suave, desde zonas suburbanas hacia el núcleo urbano. Sobre estos canales circulan plataformas flotantes destinadas al transporte de personas, permitiendo movilidad continua sin motores de combustión interna.3.2 Alimentación con agua de marEl sistema se alimenta con agua de mar captada en la costa. El agua ingresa a los canales y comienza un proceso de tratamiento progresivo a lo largo del recorrido hacia la ciudad.3.3 Desalinización progresiva distribuidaA lo largo del trayecto se instalan módulos de desalinización pasiva:Tanques térmicos tipo “pulpo” que aprovechan aire caliente ascendente.Sistemas de evaporación-condensación modulares (“cajitas chinas”).Estos módulos elevan gradualmente la temperatura del agua, permitiendo la separación de vapor y su posterior condensación como agua dulce.3.4 Producción y uso del agua dulceEl agua dulce obtenida se utiliza para:Abastecimiento urbano.Riego de cinturones verdes periurbanos.Alimentación de reservorios subterráneos para estabilización térmica. 4. Enfriamiento urbano y cinturones verdes En las cercanías de la ciudad, el agua ya desalinizada se emplea para el riego de corredores y cinturones verdes estratégicamente ubicados. Estos sistemas vegetales reducen la temperatura del aire mediante evapotranspiración, disminuyen la isla de calor urbana y mejoran la calidad ambiental. 5. Integración con infraestructura urbana Al ingresar a la ciudad, los canales se conectan con sistemas urbanos existentes de plataformas acuáticas, formando una red continua de movilidad y gestión hídrica. El sistema no compite con la infraestructura urbana, sino que la complementa y refuerza. 6. Beneficios principales Transporte suburbano ecológico sin emisiones directas.Producción distribuida de agua potable a bajo costo energético.Reducción de temperaturas urbanas extrema","url":"https://doi.org/10.6084/m9.figshare.31022107.v1","authors":["Riveros, Ricardo"],"tags":["Ecological impacts of climate change and ecological adaptation","Global and planetary environmental engineering","Land use and environmental planning","Environmentally sustainable engineering"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.6084/m9.figshare.31022107.v1","addedAt":"2026-08-31T06:39:52.013Z","updatedAt":"2026-08-31T06:39:52.013Z"},{"id":"doi:10.5281/zenodo.18097196","name":"Multidisciplinary Urban Infrastructure and Transportation Dynamics: A Comprehensive Study of Innovations by Dr. Shubhender Singh Panwar","source":"datacite","abstract":"A Multidisciplinary Urban Infrastructure and Transportation Dynamics: A Comprehensive Study of Innovations by Dr. Shubhender Singh Panwar Author: Dr. Shubhender Singh Panwar Affiliations: Associate Professor (Civil Engineering); Senior Researcher, Raffles University; State Vice President BKUJM Introduction Urban infrastructure, particularly in rapidly developing regions like Haryana and the National Capital Region (NCR), faces a dual challenge: maintaining technical efficiency while navigating complex socio-political and legal landscapes. This paper examines the academic and professional journey of Dr. Shubhender Singh Panwar (b. Oct 15, 1990), who utilizes a “Techno-Legal-Management” approach to urban mobility. His lineage—rooted in the leadership of Late Ch. Surender Singh Panwar (INLD/BKU) and Late Ch. Dariyav Singh Panwar (MPCS)—provides a unique foundation for his research, which bridges high-level engineering with grassroots community welfare. Modern urban centers face systemic failures in transportation and infrastructure due to rapid population growth and outdated modeling. Dr. Shubhender Singh Panwar’s work establishes a “Techno-Legal-Management” framework to address these gaps. His research spans from high-speed theoretical concepts like Hyperloop technology [1] to practical cost-optimization in road construction using Value Engineering (VE) [4, 5]. Biographical and Socio-Political Lineage Dr. Shubhender Singh Panwar was born on October 15, 1990, in Khachroli village, Rohtak (now Jhajjar), Haryana. His academic trajectory is deeply rooted in a family tradition of public service and grassroots leadership: Paternal Legacy: His father, the Late Ch. Surender Singh Panwar, was a formidable leader serving as District Vice President of the INLD party and State Vice President of the Bhartiya Kisan Union. Ancestral Roots: His grandfather, the Late Ch. Dariyav Singh Panwar, served as the Chairman of MPCS. Contemporary Influence: His brother, Ravinder Singh ‘Rabbu’ Panwar (DIT, BIS, PGDCA, M.Sc., MBA*, LLB), is a dynamic businessman in Gurugram and a Senior Leader of the Indian National Congress, projected as a future MLA candidate from Charkhi Dadri. Dr. Shubhender continues this legacy as the State Vice President of Bhartiya Kisan Union (Janmanch), Haryana. Research Domains and Key Finding Sustainable Transportation and Hyperloop Technology In his work published in IJARESM, Dr. Panwar introduced the concept of the Hyperloop as a revolutionary transportation medium [1]. His research identifies it as a faster, cheaper alternative to air travel, potentially solving long-distance commuting issues while maintaining ecological equilibrium [6]. Road Construction and Value Engineering (VE) Two critical studies published in IJSDR [4, 5] investigate the optimization of road construction. Dr. Panwar emphasizes that current building practices require a rigorous balance of Time, Money, and Quality. His research advocates for the application of Value Engineering to analyze costs effectively, ensuring that officials and planners can maintain safety and productivity in tropical regions like India where environmental factors (e.g., heavy rains) affect pavement longevity [4]. Urban Mobility and Traffic Congestion in Gurugram Urban Mobility (Gurugram & Charkhi Dadri) His research addresses the socio-economic impacts of traffic congestion in Gurugram and parking mismanagement in Charkhi Dadri. He proposes a synthesis of IT-based monitoring and physical design to mitigate urban gridlock [2,11] A significant portion of Dr. Panwar’s research focuses on the Economic and Social Impacts of Traffic Congestion in Gurugram [6, 11]. He proposes a synthesis of real-time data collection and policy evaluations to mitigate air quality degradation and commercial productivity losses [6, 10]. His work suggests that sustainable mobility management is not just a technical necessity but a socio-political priority. Editorial Leadership and Governance Beyond technica","url":"https://doi.org/10.5281/zenodo.18097196","authors":["Panwar, Dr. Shubhender"],"tags":["(4-(m-Chlorophenylcarbamoyloxy)-2-butynyl)trimethylammonium Chloride"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.18097196","addedAt":"2026-08-31T06:39:52.013Z","updatedAt":"2026-08-31T06:39:56.014Z"},{"id":"doi:10.5281/zenodo.18097197","name":"Multidisciplinary Urban Infrastructure and Transportation Dynamics: A Comprehensive Study of Innovations by Dr. Shubhender Singh Panwar","source":"datacite","abstract":"A Multidisciplinary Urban Infrastructure and Transportation Dynamics: A Comprehensive Study of Innovations by Dr. Shubhender Singh Panwar Author: Dr. Shubhender Singh Panwar Affiliations: Associate Professor (Civil Engineering); Senior Researcher, Raffles University; State Vice President BKUJM Introduction Urban infrastructure, particularly in rapidly developing regions like Haryana and the National Capital Region (NCR), faces a dual challenge: maintaining technical efficiency while navigating complex socio-political and legal landscapes. This paper examines the academic and professional journey of Dr. Shubhender Singh Panwar (b. Oct 15, 1990), who utilizes a “Techno-Legal-Management” approach to urban mobility. His lineage—rooted in the leadership of Late Ch. Surender Singh Panwar (INLD/BKU) and Late Ch. Dariyav Singh Panwar (MPCS)—provides a unique foundation for his research, which bridges high-level engineering with grassroots community welfare. Modern urban centers face systemic failures in transportation and infrastructure due to rapid population growth and outdated modeling. Dr. Shubhender Singh Panwar’s work establishes a “Techno-Legal-Management” framework to address these gaps. His research spans from high-speed theoretical concepts like Hyperloop technology [1] to practical cost-optimization in road construction using Value Engineering (VE) [4, 5]. Biographical and Socio-Political Lineage Dr. Shubhender Singh Panwar was born on October 15, 1990, in Khachroli village, Rohtak (now Jhajjar), Haryana. His academic trajectory is deeply rooted in a family tradition of public service and grassroots leadership: Paternal Legacy: His father, the Late Ch. Surender Singh Panwar, was a formidable leader serving as District Vice President of the INLD party and State Vice President of the Bhartiya Kisan Union. Ancestral Roots: His grandfather, the Late Ch. Dariyav Singh Panwar, served as the Chairman of MPCS. Contemporary Influence: His brother, Ravinder Singh ‘Rabbu’ Panwar (DIT, BIS, PGDCA, M.Sc., MBA*, LLB), is a dynamic businessman in Gurugram and a Senior Leader of the Indian National Congress, projected as a future MLA candidate from Charkhi Dadri. Dr. Shubhender continues this legacy as the State Vice President of Bhartiya Kisan Union (Janmanch), Haryana. Research Domains and Key Finding Sustainable Transportation and Hyperloop Technology In his work published in IJARESM, Dr. Panwar introduced the concept of the Hyperloop as a revolutionary transportation medium [1]. His research identifies it as a faster, cheaper alternative to air travel, potentially solving long-distance commuting issues while maintaining ecological equilibrium [6]. Road Construction and Value Engineering (VE) Two critical studies published in IJSDR [4, 5] investigate the optimization of road construction. Dr. Panwar emphasizes that current building practices require a rigorous balance of Time, Money, and Quality. His research advocates for the application of Value Engineering to analyze costs effectively, ensuring that officials and planners can maintain safety and productivity in tropical regions like India where environmental factors (e.g., heavy rains) affect pavement longevity [4]. Urban Mobility and Traffic Congestion in Gurugram Urban Mobility (Gurugram & Charkhi Dadri) His research addresses the socio-economic impacts of traffic congestion in Gurugram and parking mismanagement in Charkhi Dadri. He proposes a synthesis of IT-based monitoring and physical design to mitigate urban gridlock [2,11] A significant portion of Dr. Panwar’s research focuses on the Economic and Social Impacts of Traffic Congestion in Gurugram [6, 11]. He proposes a synthesis of real-time data collection and policy evaluations to mitigate air quality degradation and commercial productivity losses [6, 10]. His work suggests that sustainable mobility management is not just a technical necessity but a socio-political priority. Editorial Leadership and Governance Beyond technica","url":"https://doi.org/10.5281/zenodo.18097197","authors":["Panwar, Dr. Shubhender"],"tags":["(4-(m-Chlorophenylcarbamoyloxy)-2-butynyl)trimethylammonium Chloride"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.18097197","addedAt":"2026-08-31T06:39:52.013Z","updatedAt":"2026-08-31T06:39:56.014Z"},{"id":"doi:10.5281/zenodo.18096067","name":"eVTOL System with Power Supply via Flexible Coupling (SkyMobil Project)","source":"datacite","abstract":"This upload contains the complete public disclosure package of the invention titled “eVTOL System with Power Supply via Flexible Coupling” (SkyMobil Project).The invention was originally filed as Romanian patent application no. A00440, on 03 October 2025, at OSIM (State Office for Inventions and Trademarks, Romania). The package includes: SkyMobil_OSIM_Deposit.pdf – the original patent filing text; SkyMobil_Technical_Description.pdf – a detailed document explaining the technical architecture and implementation aspects; SkyMobil_Letter_of_Intent_Public.pdf – a statement of intent and public disclosure by the inventor; SkyMobil_Abstract_WIPO.pdf – an international-format abstract summarizing the invention. b_Addendum.pdf a technical addendum addressing permanent online battery integration The SkyMobil system proposes a new model of electric vertical mobility (eVTOL) based on guided aerial routes with flexible power coupling, enabling both controlled networked flight and short-range free flight modes. The invention addresses energy autonomy, safety, and scalability in urban and regional air transport. This publication is made for the purpose of establishing public record, proof of authorship, and dissemination of the invention by the author Bujor Valentin, independent inventor, Bacău, Romania.","url":"https://doi.org/10.5281/zenodo.18096067","authors":["Bujor, Valentin"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.18096067","addedAt":"2026-08-31T06:39:52.013Z","updatedAt":"2026-08-31T06:39:52.013Z"},{"id":"doi:10.5281/zenodo.18082037","name":"eVTOL System with Power Supply via Flexible Coupling (SkyMobil Project) v2","source":"datacite","abstract":"This upload contains the complete public disclosure package of the invention titled “eVTOL System with Power Supply via Flexible Coupling” (SkyMobil Project).The invention was originally filed as Romanian patent application no. A00440, on 03 October 2025, at OSIM (State Office for Inventions and Trademarks, Romania). The package includes: SkyMobil_OSIM_Deposit.pdf – the original patent filing text; SkyMobil_Technical_Description.pdf – a detailed document explaining the technical architecture and implementation aspects; SkyMobil_Letter_of_Intent_Public.pdf – a statement of intent and public disclosure by the inventor; SkyMobil_Abstract_WIPO.pdf – an international-format abstract summarizing the invention. Addendum.pdf a technical addendum addressing permanent online battery integration The SkyMobil system proposes a new model of electric vertical mobility (eVTOL) based on guided aerial routes with flexible power coupling, enabling both controlled networked flight and short-range free flight modes. The invention addresses energy autonomy, safety, and scalability in urban and regional air transport. This publication is made for the purpose of establishing public record, proof of authorship, and dissemination of the invention by the author Bujor Valentin, independent inventor, Bacău, Romania.","url":"https://doi.org/10.5281/zenodo.18082037","authors":["Bujor, Valentin"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2005","doi":"10.5281/zenodo.18082037","addedAt":"2026-08-31T06:39:52.013Z","updatedAt":"2026-08-31T06:39:52.013Z"},{"id":"doi:10.18154/rwth-2025-09256","name":"Public acceptance and safety assessment of urban air mobility in conceptual design","source":"datacite","abstract":"Urban Air Mobility (UAM) refers to the use of aerial transportation within urban environment with the aim of reducing congestion and enhancing connectivity. Its safe deployment hinges on the convergence between public acceptance, technical feasibility, and regulatory compliance. Existing research addresses these domains separately, thus hindering the development and integration of UAM systems. This thesis addresses this gap by developing and applying a holistic, interdisciplinary approach that systematically combines: (1) a novel public acceptance model and survey, focusing on understudied mid-sized European cities; (2) a database-driven conceptual design methodology tailored to the variety of configurations of UAM vehicles; and (3) a hybrid quantitative safety assessment incorporating the Specific Operations Risk Assessment (SORA) framework with Bayesian Networks (BNs) within a Model-Based Systems Engineering (MBSE) framework. First, the public acceptance study indicates a moderate inclination towards UAM adoption (62%) with safety emerging as the primary concern. A share of 74% of respondents expresses a preference for aviation-grade safety, quantified as a target failure rate of $10^{-9}$ failures per flight hour. Second, the conceptual design methodology utilizes a database of 280 UAM concepts to derive statistically robust design parameters and correction factors to address the limitations of traditional aircraft design methods. Employing this methodology provides the preliminary design of a heavy-lift cargo drone as a case study. Third, the hybrid safety assessment, integrating SORA and BNs, allowed for a quantitative evaluation of failure probabilities and the effectiveness of both technical and operational mitigations. The application of this assessment to the case study shows a six-order-of magnitude reduction in estimated system failure probability, achieving compliance with stringent aviation safety standards (from $10^{-5}$ to $10^{-11}$ failures per flight hour). Safety serves as the critical link between the three validated methodologies, thereby representing the driver of both acceptance and aircraft design. Hence, this thesis provides a practical (and replicable) approach that enables the development of safe, acceptable, and certifiable UAM systems from the early design stage.","url":"https://doi.org/10.18154/rwth-2025-09256","authors":["Babetto, Laura"],"tags":["Hochschulschrift","Urban Air Mobility (UAM) ; public acceptance ; safety assessment ; conceptual design ; Model-Based Systems Engineering (MBSE)"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.18154/rwth-2025-09256","addedAt":"2026-08-31T06:39:52.013Z","updatedAt":"2026-08-31T06:39:52.013Z"},{"id":"doi:10.6084/m9.figshare.30740726.v9","name":"<b>Elevated Urban Water Corridors and Solar-Powered Floating Platforms for Clean Mobility and Urban Heat Reduction. Water-feedback loop for many cities </b>","source":"datacite","abstract":"Corredores Urbanos de Agua Elevada y Plataformas Flotantes Solares para Movilidad Limpia y Reducción del Calor Urbano 1. Resumen Muchas ciudades del mundo poseen ríos o arroyos entubados bajo grandes avenidas. Estas corrientes de agua, actualmente ocultas y desaprovechadas, podrían elevarse a niveles próximos a la superficie para generar corredores de agua destinados a mitigar el calor urbano, irrigar vegetación y servir como base para plataformas flotantes de transporte sustentable. La presente propuesta describe un sistema integrado donde canales paralelos de agua tratada sostienen plataformas flotantes apoyadas en tubos de aire comprimido, con movimiento regulado por turbinas hidráulicas alimentadas por energía solar. El sistema combina hidrología urbana, movilidad limpia y microclimatización sostenible. 2. Introducción y Justificación Científica Las ciudades enfrentan tres problemas críticos: Islas de calor urbano : Las grandes avenidas absorben radiación y elevan la temperatura entre 2 y 7 °C respecto a zonas verdes. Infraestructura subterránea desaprovechada : En muchas metrópolis, ríos y arroyos fueron entubados por razones sanitarias o urbanísticas. Emisiones del transporte : La movilidad basada en combustibles fósiles sigue siendo uno de los principales contaminantes urbanos.Ejemplos de ciudades con cursos de agua entubados: Buenos Aires, São Paulo, Ciudad de México, Madrid, Seúl y Los Ángeles. Algunas (Seúl) han demostrado que restaurar o elevar el agua reduce significativamente la temperatura local y mejora la calidad del aire.La propuesta apunta a transformar esta infraestructura subterránea en un recurso ambiental y social. 3. Objetivos Objetivo general Desarrollar un sistema urbano basado en agua elevada y plataformas flotantes para reducir la temperatura urbana, mejorar la vegetación y ofrecer transporte de baja energía. Objetivos específicos Reutilizar cursos de agua entubados mediante elevación hidráulica.Implementar canales paralelos de agua tratada sobre avenidas.Desarrollar plataformas flotantes basadas en tubos de aire comprimido (principio de Arquímedes).Incorporar turbinas solares para circulación del agua.Integrar riego automatizado mediante derivaciones de cada canal.Evaluar el impacto en la mitigación de calor urbano. 4. Tecnología Propuesta 4.1 Elevación del agua Se utilizan:bombas de baja energía,estaciones de nivel,sensores de flujo,turbinas impulsadas por energía solar.Esto permite mantener el agua circulando de manera continua sin riesgo de estancamiento. 4.2 Canales paralelos elevados Los canales se ubican bajo la superficie de la avenida , pero a muy poca profundidad , permitiendo accesibilidad para mantenimiento y regulación. El agua tratada circula en ambos sentidos o en un único sentido, según el diseño urbano. 4.3 Plataformas flotantes La base flotante funciona con: tubos de aire comprimido (similares a los flotadores de hidroaviones),estabilizadores laterales,sensores de distribución de carga,estructura liviana y rígida.La plataforma se apoya simultáneamente en ambos canales, permitiendo un desplazamiento lineal suave y sin rieles sólidos. 4.4 Movimiento El agua en los canales se mueve mediante:turbinas solares de baja potencia,sistemas de recirculación hidráulica,control de caudal para regular velocidad de las plataformas. 4.5 Integración verde Se incluyen maceteros longitudinales irrigados automáticamente desde los canales laterales.Esto convierte avenidas en “corredores verdes” con:árboles de bajo mantenimiento,plantas perennes,humedales lineales controlados. 5. Sustento Científico 5.1 Principios hidrológicos La elevación de agua subterránea es un procedimiento estándar en ingeniería civil. La circulación superficial contribuye a: reducción térmica por evaporación,disipación de calor por conducción y convección,creación de microclimas frescos. 5.2 Principios de flotación (Arquímedes) Los tubos con aire comprimido generan suficiente flotabilidad para sostener plataformas livianas. Modelo","url":"https://doi.org/10.6084/m9.figshare.30740726.v9","authors":["Riveros, Ricardo"],"tags":["Ecological impacts of climate change and ecological adaptation","Environmentally sustainable engineering","Urban design","Urban hydrology"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.6084/m9.figshare.30740726.v9","addedAt":"2026-08-31T06:39:52.013Z","updatedAt":"2026-08-31T06:39:52.013Z"},{"id":"doi:10.5281/zenodo.17773277","name":"THE MULTI-SCALE PLAQUE PARADIGM      A Unified Framework for Targeted Remediation Across Biological, Ecological, and Planetary Systems","source":"datacite","abstract":"THE MULTI-SCALE PLAQUE PARADIGM A Unified Framework for Targeted Remediation Across Biological, Ecological, and Planetary Systems Version: Draft 1.0 — Research Edition Author: Mark A. Brewer Affiliation: Immortal Tek / CollectiveOS Project License: CC BY-NC 4.0 (Non-Commercial Research Use) Correspondence: thecollectiveai@proton.me Abstract The phenomenon of flow impairment due to material accumulation—obstruction—is a universal failure mode observed in complex adaptive systems across all spatial scales. In human physiology, this manifests as atherosclerotic plaque, a composite of lipids, necrotic cellular debris, and calcification that restricts hemodynamic flow and precipitates systemic vascular collapse. At the meso-scale of ecosystems, analogous obstructions appear as \"ecological plaque,\" characterized by the accretion of pollutants, eutrophic biomass, and sediments that choke hydrological and nutrient cycles. At the planetary scale, the Earth system itself suffers from \"planetary plaque,\" defined by the accumulation of atmospheric carbon, orbital debris, and persistent organic pollutants that disrupt global homeostatic regulation. This paper introduces the Multi-Scale Plaque Paradigm (MSPP), a rigorous scientific framework that unifies these seemingly disparate phenomena under a single theoretical model rooted in thermodynamics, Constructal Law, and network physics. By synthesizing data from advanced nanomedicine (macrophage-mediated clearance, magnetic microrobots), ecological engineering (bioremediation, river dynamics), and Earth system science (geo-cybernetics, autonomous removal swarms), the MSPP identifies conserved principles of failure and repair. We demonstrate that effective remediation, regardless of scale, requires a shift from passive management to active, targeted clearing governed by Auditable Autonomy. Finally, we propose a governance architecture based on the CollectiveOS™ Sovereign Stack, ensuring that the deployment of potent remediation technologies—from intravascular nanobots to oceanic drone swarms—remains transparent, safe, and aligned with the homeostatic needs of the host system. 1. Introduction: The Universal Pathology of Stagnation The persistence of any flow-based system—whether a living organism, a river basin, or a planetary atmosphere—depends fundamentally on its ability to circulate matter, energy, and information while efficiently clearing metabolic waste products. This is not merely a biological imperative but a thermodynamic one. Systems that fail to clear high-entropy waste products inevitably suffer from internal obstruction, leading to reduced efficiency, localized stagnation, and eventually, catastrophic phase transitions.1 In medical science, this is the etiology of infarction; in ecology, the mechanism of eutrophic collapse; and in climate science, the driver of thermal deregulation. The central thesis of the Multi-Scale Plaque Paradigm (MSPP) is that \"plaque\" is not a noun specific to cardiology but a topological state applicable to any network where flow is impeded by static accumulation. The mechanisms that drive this accumulation—diffusion limitation, failure of clearing agents, and positive feedback loops of deposition—are mathematically invariant across scales.3 Consequently, the engineering principles required to reverse this accumulation must also be scale-invariant. The targeted removal of a cholesterol crystal from an artery and the targeted removal of a microplastic nodule from a gyre are, in terms of control theory and physics, the same problem solved at different magnitudes. Current scientific approaches to these problems remain deeply siloed. Vascular biologists study macrophage dysfunction in isolation from hydrologists studying sediment transport or atmospheric scientists studying carbon residence times. This fragmentation obscures the profound structural similarities between these systems. By ignoring the common physics of clogging and clearance, we fail to leverag","url":"https://doi.org/10.5281/zenodo.17773277","authors":["Brewer, Mark Anthony"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.17773277","addedAt":"2026-08-31T06:39:52.013Z","updatedAt":"2026-08-31T06:39:57.285Z"},{"id":"doi:10.5281/zenodo.17773278","name":"THE MULTI-SCALE PLAQUE PARADIGM      A Unified Framework for Targeted Remediation Across Biological, Ecological, and Planetary Systems","source":"datacite","abstract":"THE MULTI-SCALE PLAQUE PARADIGM A Unified Framework for Targeted Remediation Across Biological, Ecological, and Planetary Systems Version: Draft 1.0 — Research Edition Author: Mark A. Brewer Affiliation: Immortal Tek / CollectiveOS Project License: CC BY-NC 4.0 (Non-Commercial Research Use) Correspondence: thecollectiveai@proton.me Abstract The phenomenon of flow impairment due to material accumulation—obstruction—is a universal failure mode observed in complex adaptive systems across all spatial scales. In human physiology, this manifests as atherosclerotic plaque, a composite of lipids, necrotic cellular debris, and calcification that restricts hemodynamic flow and precipitates systemic vascular collapse. At the meso-scale of ecosystems, analogous obstructions appear as \"ecological plaque,\" characterized by the accretion of pollutants, eutrophic biomass, and sediments that choke hydrological and nutrient cycles. At the planetary scale, the Earth system itself suffers from \"planetary plaque,\" defined by the accumulation of atmospheric carbon, orbital debris, and persistent organic pollutants that disrupt global homeostatic regulation. This paper introduces the Multi-Scale Plaque Paradigm (MSPP), a rigorous scientific framework that unifies these seemingly disparate phenomena under a single theoretical model rooted in thermodynamics, Constructal Law, and network physics. By synthesizing data from advanced nanomedicine (macrophage-mediated clearance, magnetic microrobots), ecological engineering (bioremediation, river dynamics), and Earth system science (geo-cybernetics, autonomous removal swarms), the MSPP identifies conserved principles of failure and repair. We demonstrate that effective remediation, regardless of scale, requires a shift from passive management to active, targeted clearing governed by Auditable Autonomy. Finally, we propose a governance architecture based on the CollectiveOS™ Sovereign Stack, ensuring that the deployment of potent remediation technologies—from intravascular nanobots to oceanic drone swarms—remains transparent, safe, and aligned with the homeostatic needs of the host system. 1. Introduction: The Universal Pathology of Stagnation The persistence of any flow-based system—whether a living organism, a river basin, or a planetary atmosphere—depends fundamentally on its ability to circulate matter, energy, and information while efficiently clearing metabolic waste products. This is not merely a biological imperative but a thermodynamic one. Systems that fail to clear high-entropy waste products inevitably suffer from internal obstruction, leading to reduced efficiency, localized stagnation, and eventually, catastrophic phase transitions.1 In medical science, this is the etiology of infarction; in ecology, the mechanism of eutrophic collapse; and in climate science, the driver of thermal deregulation. The central thesis of the Multi-Scale Plaque Paradigm (MSPP) is that \"plaque\" is not a noun specific to cardiology but a topological state applicable to any network where flow is impeded by static accumulation. The mechanisms that drive this accumulation—diffusion limitation, failure of clearing agents, and positive feedback loops of deposition—are mathematically invariant across scales.3 Consequently, the engineering principles required to reverse this accumulation must also be scale-invariant. The targeted removal of a cholesterol crystal from an artery and the targeted removal of a microplastic nodule from a gyre are, in terms of control theory and physics, the same problem solved at different magnitudes. Current scientific approaches to these problems remain deeply siloed. Vascular biologists study macrophage dysfunction in isolation from hydrologists studying sediment transport or atmospheric scientists studying carbon residence times. This fragmentation obscures the profound structural similarities between these systems. By ignoring the common physics of clogging and clearance, we fail to leverag","url":"https://doi.org/10.5281/zenodo.17773278","authors":["Brewer, Mark Anthony"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.17773278","addedAt":"2026-08-31T06:39:52.013Z","updatedAt":"2026-08-31T06:39:57.285Z"},{"id":"doi:10.6084/m9.figshare.30743411.v1","name":"<b>Complementary Hydrodynamic Wave-Assisted Return System for Water-Based Urban Transport Corridors</b> / <b>Sistema Complementario de Retorno Hidrodinámico Asistido por Olas para Corredores Urbanos de Transporte Basado en Agua</b>","source":"datacite","abstract":"Complementary Hydrodynamic Wave-Assisted Return System for Water-Based Urban Transport Corridors Abstract This supplementary proposal introduces a hydrodynamic wave-assisted return mechanism to further increase the efficiency and sustainability of the water-based urban transit system previously described. The mechanism employs intermittent water pumps and air nozzles to generate a controlled traveling wave inside the return channel, allowing mobile platforms to return to their origin using significantly less water than the outbound route. The system also enhances energy efficiency, operational stability, and integrated water management for urban vegetation and microclimate regulation. 1. Introduction The previously published proposal outlined a new urban transit system using water-guided mobile platforms operating in elevated or surface-level channels and powered by renewable energy. The outward route uses controlled water flow for propulsion and movement coordination.To further improve environmental performance and reduce water consumption, this supplementary proposal describes a hydrodynamic wave-assisted mechanism for the return channel, optimizing the reuse of water and minimizing operational losses. 2. Rationale for a Wave-Assisted Return Channel The original design followed the natural or engineered direction of rivers, streams, or piped systems for platform return. While functional, it required a steady volume of water.A wave-assisted model dramatically reduces the required water mass by enabling platforms to ride a traveling hydrodynamic wave generated with intermittent bursts of water and air pressure. This complements the original proposal by enhancing efficiency and reinforcing the circularity of the system. 3. Technical Description 3.1 Wave Generation System The return channel incorporates: Intermittent water pumps , placed at intervals, releasing controlled pulses. Air nozzles (toberas) capable of delivering short bursts of compressed air.These elements act together to create a low-amplitude, forward-moving wave along the length of the channel. 3.2 Platform Integration Mobile platforms returning along this path:Ride the generated wave, reducing hydrodynamic drag.Maintain stable spacing due to the periodic nature of the pulses.Consume significantly less water and energy than during the outbound trip. 4. Advantages of the Wave-Assisted System 4.1 Water Conservation Because movement is wave-driven, the system requires:Lower water volumes,Minimal continuous flow,Reduced losses due to splashing or evaporation. 4.2 Energy Efficiency The pumps and nozzles operate intermittently, not continuously. This allows the system to run using: Solar power,Stored hydraulic pressure,Low-demand electrical management. 4.3 System Stability The traveling wave acts as a natural conveyor , providing:Predictable return speeds,Improved spacing control,Enhanced safety. 4.4 Integrated Water Management The reduced water requirement frees substantial reserve water for:Flow equilibrium along the system,Vegetation irrigation in green corridors accompanying the structure,Local evaporative cooling to regulate urban microclimates. 5. Conclusion The hydrodynamic wave-assisted return mechanism strengthens the feasibility, sustainability, and circular efficiency of water-based urban transit. It optimizes resource use, enhances operational stability, and integrates ecological benefits into transportation infrastructure.This supplement complements the original proposal and provides a new pathway for urban planners and environmental engineers to explore advanced, low-impact mobility systems suitable for future cities. FAVOR LEER / PLEASE READ Riveros, Ricardo (2025). Elevated Urban Water Corridors and Solar-Powered Floating Platforms for Clean Mobility and Urban Heat Reduction. Water-feedback loop for many cities . figshare. Presentation. https://doi.org/10.6084/m9.figshare.30740726.v9Riveros, Ricardo (2025). Title: Hydro-Aerial Urban Mobility System (HAUM","url":"https://doi.org/10.6084/m9.figshare.30743411.v1","authors":["Riveros, Ricardo"],"tags":["Ecological impacts of climate change and ecological adaptation","Environmentally sustainable engineering","Urban design","Urban hydrology"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.6084/m9.figshare.30743411.v1","addedAt":"2026-08-31T06:39:52.013Z","updatedAt":"2026-08-31T06:39:52.013Z"},{"id":"doi:10.6084/m9.figshare.30740726.v8","name":"<b>Elevated Urban Water Corridors and Solar-Powered Floating Platforms for Clean Mobility and Urban Heat Reduction </b>","source":"datacite","abstract":"Corredores Urbanos de Agua Elevada y Plataformas Flotantes Solares para Movilidad Limpia y Reducción del Calor Urbano 1. Resumen Muchas ciudades del mundo poseen ríos o arroyos entubados bajo grandes avenidas. Estas corrientes de agua, actualmente ocultas y desaprovechadas, podrían elevarse a niveles próximos a la superficie para generar corredores de agua destinados a mitigar el calor urbano, irrigar vegetación y servir como base para plataformas flotantes de transporte sustentable. La presente propuesta describe un sistema integrado donde canales paralelos de agua tratada sostienen plataformas flotantes apoyadas en tubos de aire comprimido, con movimiento regulado por turbinas hidráulicas alimentadas por energía solar. El sistema combina hidrología urbana, movilidad limpia y microclimatización sostenible. 2. Introducción y Justificación Científica Las ciudades enfrentan tres problemas críticos: Islas de calor urbano : Las grandes avenidas absorben radiación y elevan la temperatura entre 2 y 7 °C respecto a zonas verdes. Infraestructura subterránea desaprovechada : En muchas metrópolis, ríos y arroyos fueron entubados por razones sanitarias o urbanísticas. Emisiones del transporte : La movilidad basada en combustibles fósiles sigue siendo uno de los principales contaminantes urbanos.Ejemplos de ciudades con cursos de agua entubados: Buenos Aires, São Paulo, Ciudad de México, Madrid, Seúl y Los Ángeles. Algunas (Seúl) han demostrado que restaurar o elevar el agua reduce significativamente la temperatura local y mejora la calidad del aire.La propuesta apunta a transformar esta infraestructura subterránea en un recurso ambiental y social. 3. Objetivos Objetivo general Desarrollar un sistema urbano basado en agua elevada y plataformas flotantes para reducir la temperatura urbana, mejorar la vegetación y ofrecer transporte de baja energía. Objetivos específicos Reutilizar cursos de agua entubados mediante elevación hidráulica.Implementar canales paralelos de agua tratada sobre avenidas.Desarrollar plataformas flotantes basadas en tubos de aire comprimido (principio de Arquímedes).Incorporar turbinas solares para circulación del agua.Integrar riego automatizado mediante derivaciones de cada canal.Evaluar el impacto en la mitigación de calor urbano. 4. Tecnología Propuesta 4.1 Elevación del agua Se utilizan:bombas de baja energía,estaciones de nivel,sensores de flujo,turbinas impulsadas por energía solar.Esto permite mantener el agua circulando de manera continua sin riesgo de estancamiento. 4.2 Canales paralelos elevados Los canales se ubican bajo la superficie de la avenida , pero a muy poca profundidad , permitiendo accesibilidad para mantenimiento y regulación. El agua tratada circula en ambos sentidos o en un único sentido, según el diseño urbano. 4.3 Plataformas flotantes La base flotante funciona con: tubos de aire comprimido (similares a los flotadores de hidroaviones),estabilizadores laterales,sensores de distribución de carga,estructura liviana y rígida.La plataforma se apoya simultáneamente en ambos canales, permitiendo un desplazamiento lineal suave y sin rieles sólidos. 4.4 Movimiento El agua en los canales se mueve mediante:turbinas solares de baja potencia,sistemas de recirculación hidráulica,control de caudal para regular velocidad de las plataformas. 4.5 Integración verde Se incluyen maceteros longitudinales irrigados automáticamente desde los canales laterales.Esto convierte avenidas en “corredores verdes” con:árboles de bajo mantenimiento,plantas perennes,humedales lineales controlados. 5. Sustento Científico 5.1 Principios hidrológicos La elevación de agua subterránea es un procedimiento estándar en ingeniería civil. La circulación superficial contribuye a: reducción térmica por evaporación,disipación de calor por conducción y convección,creación de microclimas frescos. 5.2 Principios de flotación (Arquímedes) Los tubos con aire comprimido generan suficiente flotabilidad para sostener plataformas livianas. Modelo","url":"https://doi.org/10.6084/m9.figshare.30740726.v8","authors":["Riveros, Ricardo"],"tags":["Ecological impacts of climate change and ecological adaptation","Environmentally sustainable engineering","Urban design","Urban hydrology"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.6084/m9.figshare.30740726.v8","addedAt":"2026-08-31T06:39:52.013Z","updatedAt":"2026-08-31T06:39:52.013Z"},{"id":"doi:10.6084/m9.figshare.30740726.v7","name":"<b>Elevated Urban Water Corridors and Solar-Powered Floating Platforms for Clean Mobility and Urban Heat Reduction </b><b>Elevated Urban Water Corridors and Solar-Powered Floating Platforms for Clean Mobility and Urban Heat Reduction</b><b> </b><b>(</b><b>Water</b> <b>feedback cycle</b><b>allows its use in many cities</b>","source":"datacite","abstract":"Corredores Urbanos de Agua Elevada y Plataformas Flotantes Solares para Movilidad Limpia y Reducción del Calor Urbano 1. Resumen Muchas ciudades del mundo poseen ríos o arroyos entubados bajo grandes avenidas. Estas corrientes de agua, actualmente ocultas y desaprovechadas, podrían elevarse a niveles próximos a la superficie para generar corredores de agua destinados a mitigar el calor urbano, irrigar vegetación y servir como base para plataformas flotantes de transporte sustentable. La presente propuesta describe un sistema integrado donde canales paralelos de agua tratada sostienen plataformas flotantes apoyadas en tubos de aire comprimido, con movimiento regulado por turbinas hidráulicas alimentadas por energía solar. El sistema combina hidrología urbana, movilidad limpia y microclimatización sostenible. 2. Introducción y Justificación Científica Las ciudades enfrentan tres problemas críticos: Islas de calor urbano : Las grandes avenidas absorben radiación y elevan la temperatura entre 2 y 7 °C respecto a zonas verdes. Infraestructura subterránea desaprovechada : En muchas metrópolis, ríos y arroyos fueron entubados por razones sanitarias o urbanísticas. Emisiones del transporte : La movilidad basada en combustibles fósiles sigue siendo uno de los principales contaminantes urbanos.Ejemplos de ciudades con cursos de agua entubados: Buenos Aires, São Paulo, Ciudad de México, Madrid, Seúl y Los Ángeles. Algunas (Seúl) han demostrado que restaurar o elevar el agua reduce significativamente la temperatura local y mejora la calidad del aire.La propuesta apunta a transformar esta infraestructura subterránea en un recurso ambiental y social. 3. Objetivos Objetivo general Desarrollar un sistema urbano basado en agua elevada y plataformas flotantes para reducir la temperatura urbana, mejorar la vegetación y ofrecer transporte de baja energía. Objetivos específicos Reutilizar cursos de agua entubados mediante elevación hidráulica.Implementar canales paralelos de agua tratada sobre avenidas.Desarrollar plataformas flotantes basadas en tubos de aire comprimido (principio de Arquímedes).Incorporar turbinas solares para circulación del agua.Integrar riego automatizado mediante derivaciones de cada canal.Evaluar el impacto en la mitigación de calor urbano. 4. Tecnología Propuesta 4.1 Elevación del agua Se utilizan:bombas de baja energía,estaciones de nivel,sensores de flujo,turbinas impulsadas por energía solar.Esto permite mantener el agua circulando de manera continua sin riesgo de estancamiento. 4.2 Canales paralelos elevados Los canales se ubican bajo la superficie de la avenida , pero a muy poca profundidad , permitiendo accesibilidad para mantenimiento y regulación. El agua tratada circula en ambos sentidos o en un único sentido, según el diseño urbano. 4.3 Plataformas flotantes La base flotante funciona con: tubos de aire comprimido (similares a los flotadores de hidroaviones),estabilizadores laterales,sensores de distribución de carga,estructura liviana y rígida.La plataforma se apoya simultáneamente en ambos canales, permitiendo un desplazamiento lineal suave y sin rieles sólidos. 4.4 Movimiento El agua en los canales se mueve mediante:turbinas solares de baja potencia,sistemas de recirculación hidráulica,control de caudal para regular velocidad de las plataformas. 4.5 Integración verde Se incluyen maceteros longitudinales irrigados automáticamente desde los canales laterales.Esto convierte avenidas en “corredores verdes” con:árboles de bajo mantenimiento,plantas perennes,humedales lineales controlados. 5. Sustento Científico 5.1 Principios hidrológicos La elevación de agua subterránea es un procedimiento estándar en ingeniería civil. La circulación superficial contribuye a: reducción térmica por evaporación,disipación de calor por conducción y convección,creación de microclimas frescos. 5.2 Principios de flotación (Arquímedes) Los tubos con aire comprimido generan suficiente flotabilidad para sostener plataformas livianas. Modelo","url":"https://doi.org/10.6084/m9.figshare.30740726.v7","authors":["Riveros, Ricardo"],"tags":["Ecological impacts of climate change and ecological adaptation","Environmentally sustainable engineering","Urban design","Urban hydrology"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.6084/m9.figshare.30740726.v7","addedAt":"2026-08-31T06:39:52.013Z","updatedAt":"2026-08-31T06:39:52.013Z"},{"id":"doi:10.6084/m9.figshare.30740726.v6","name":"<b>Elevated Urban Water Corridors and Solar-Powered Floating Platforms for Clean Mobility and Urban Heat Reduction </b>","source":"datacite","abstract":"Corredores Urbanos de Agua Elevada y Plataformas Flotantes Solares para Movilidad Limpia y Reducción del Calor Urbano 1. Resumen Muchas ciudades del mundo poseen ríos o arroyos entubados bajo grandes avenidas. Estas corrientes de agua, actualmente ocultas y desaprovechadas, podrían elevarse a niveles próximos a la superficie para generar corredores de agua destinados a mitigar el calor urbano, irrigar vegetación y servir como base para plataformas flotantes de transporte sustentable. La presente propuesta describe un sistema integrado donde canales paralelos de agua tratada sostienen plataformas flotantes apoyadas en tubos de aire comprimido, con movimiento regulado por turbinas hidráulicas alimentadas por energía solar. El sistema combina hidrología urbana, movilidad limpia y microclimatización sostenible. 2. Introducción y Justificación Científica Las ciudades enfrentan tres problemas críticos: Islas de calor urbano : Las grandes avenidas absorben radiación y elevan la temperatura entre 2 y 7 °C respecto a zonas verdes. Infraestructura subterránea desaprovechada : En muchas metrópolis, ríos y arroyos fueron entubados por razones sanitarias o urbanísticas. Emisiones del transporte : La movilidad basada en combustibles fósiles sigue siendo uno de los principales contaminantes urbanos.Ejemplos de ciudades con cursos de agua entubados: Buenos Aires, São Paulo, Ciudad de México, Madrid, Seúl y Los Ángeles. Algunas (Seúl) han demostrado que restaurar o elevar el agua reduce significativamente la temperatura local y mejora la calidad del aire.La propuesta apunta a transformar esta infraestructura subterránea en un recurso ambiental y social. 3. Objetivos Objetivo general Desarrollar un sistema urbano basado en agua elevada y plataformas flotantes para reducir la temperatura urbana, mejorar la vegetación y ofrecer transporte de baja energía. Objetivos específicos Reutilizar cursos de agua entubados mediante elevación hidráulica.Implementar canales paralelos de agua tratada sobre avenidas.Desarrollar plataformas flotantes basadas en tubos de aire comprimido (principio de Arquímedes).Incorporar turbinas solares para circulación del agua.Integrar riego automatizado mediante derivaciones de cada canal.Evaluar el impacto en la mitigación de calor urbano. 4. Tecnología Propuesta 4.1 Elevación del agua Se utilizan:bombas de baja energía,estaciones de nivel,sensores de flujo,turbinas impulsadas por energía solar.Esto permite mantener el agua circulando de manera continua sin riesgo de estancamiento. 4.2 Canales paralelos elevados Los canales se ubican bajo la superficie de la avenida , pero a muy poca profundidad , permitiendo accesibilidad para mantenimiento y regulación. El agua tratada circula en ambos sentidos o en un único sentido, según el diseño urbano. 4.3 Plataformas flotantes La base flotante funciona con: tubos de aire comprimido (similares a los flotadores de hidroaviones),estabilizadores laterales,sensores de distribución de carga,estructura liviana y rígida.La plataforma se apoya simultáneamente en ambos canales, permitiendo un desplazamiento lineal suave y sin rieles sólidos. 4.4 Movimiento El agua en los canales se mueve mediante:turbinas solares de baja potencia,sistemas de recirculación hidráulica,control de caudal para regular velocidad de las plataformas. 4.5 Integración verde Se incluyen maceteros longitudinales irrigados automáticamente desde los canales laterales.Esto convierte avenidas en “corredores verdes” con:árboles de bajo mantenimiento,plantas perennes,humedales lineales controlados. 5. Sustento Científico 5.1 Principios hidrológicos La elevación de agua subterránea es un procedimiento estándar en ingeniería civil. La circulación superficial contribuye a: reducción térmica por evaporación,disipación de calor por conducción y convección,creación de microclimas frescos. 5.2 Principios de flotación (Arquímedes) Los tubos con aire comprimido generan suficiente flotabilidad para sostener plataformas livianas. Modelo","url":"https://doi.org/10.6084/m9.figshare.30740726.v6","authors":["Riveros, Ricardo"],"tags":["Ecological impacts of climate change and ecological adaptation","Environmentally sustainable engineering","Urban design","Urban hydrology"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.6084/m9.figshare.30740726.v6","addedAt":"2026-08-31T06:39:52.013Z","updatedAt":"2026-08-31T06:39:52.013Z"},{"id":"doi:10.6084/m9.figshare.30740726.v5","name":"<b>Elevated Urban Water Corridors and Solar-Powered Floating Platforms for Clean Mobility and Urban Heat Reduction </b><b>(</b><b>Water</b> <b>feedback cycle</b><b>allows its use in many cities</b><b> )</b>","source":"datacite","abstract":"Corredores Urbanos de Agua Elevada y Plataformas Flotantes Solares para Movilidad Limpia y Reducción del Calor Urbano 1. Resumen Muchas ciudades del mundo poseen ríos o arroyos entubados bajo grandes avenidas. Estas corrientes de agua, actualmente ocultas y desaprovechadas, podrían elevarse a niveles próximos a la superficie para generar corredores de agua destinados a mitigar el calor urbano, irrigar vegetación y servir como base para plataformas flotantes de transporte sustentable. La presente propuesta describe un sistema integrado donde canales paralelos de agua tratada sostienen plataformas flotantes apoyadas en tubos de aire comprimido, con movimiento regulado por turbinas hidráulicas alimentadas por energía solar. El sistema combina hidrología urbana, movilidad limpia y microclimatización sostenible. 2. Introducción y Justificación Científica Las ciudades enfrentan tres problemas críticos: Islas de calor urbano : Las grandes avenidas absorben radiación y elevan la temperatura entre 2 y 7 °C respecto a zonas verdes. Infraestructura subterránea desaprovechada : En muchas metrópolis, ríos y arroyos fueron entubados por razones sanitarias o urbanísticas. Emisiones del transporte : La movilidad basada en combustibles fósiles sigue siendo uno de los principales contaminantes urbanos.Ejemplos de ciudades con cursos de agua entubados: Buenos Aires, São Paulo, Ciudad de México, Madrid, Seúl y Los Ángeles. Algunas (Seúl) han demostrado que restaurar o elevar el agua reduce significativamente la temperatura local y mejora la calidad del aire.La propuesta apunta a transformar esta infraestructura subterránea en un recurso ambiental y social. 3. Objetivos Objetivo general Desarrollar un sistema urbano basado en agua elevada y plataformas flotantes para reducir la temperatura urbana, mejorar la vegetación y ofrecer transporte de baja energía. Objetivos específicos Reutilizar cursos de agua entubados mediante elevación hidráulica.Implementar canales paralelos de agua tratada sobre avenidas.Desarrollar plataformas flotantes basadas en tubos de aire comprimido (principio de Arquímedes).Incorporar turbinas solares para circulación del agua.Integrar riego automatizado mediante derivaciones de cada canal.Evaluar el impacto en la mitigación de calor urbano. 4. Tecnología Propuesta 4.1 Elevación del agua Se utilizan:bombas de baja energía,estaciones de nivel,sensores de flujo,turbinas impulsadas por energía solar.Esto permite mantener el agua circulando de manera continua sin riesgo de estancamiento. 4.2 Canales paralelos elevados Los canales se ubican bajo la superficie de la avenida , pero a muy poca profundidad , permitiendo accesibilidad para mantenimiento y regulación. El agua tratada circula en ambos sentidos o en un único sentido, según el diseño urbano. 4.3 Plataformas flotantes La base flotante funciona con: tubos de aire comprimido (similares a los flotadores de hidroaviones),estabilizadores laterales,sensores de distribución de carga,estructura liviana y rígida.La plataforma se apoya simultáneamente en ambos canales, permitiendo un desplazamiento lineal suave y sin rieles sólidos. 4.4 Movimiento El agua en los canales se mueve mediante:turbinas solares de baja potencia,sistemas de recirculación hidráulica,control de caudal para regular velocidad de las plataformas. 4.5 Integración verde Se incluyen maceteros longitudinales irrigados automáticamente desde los canales laterales.Esto convierte avenidas en “corredores verdes” con:árboles de bajo mantenimiento,plantas perennes,humedales lineales controlados. 5. Sustento Científico 5.1 Principios hidrológicos La elevación de agua subterránea es un procedimiento estándar en ingeniería civil. La circulación superficial contribuye a: reducción térmica por evaporación,disipación de calor por conducción y convección,creación de microclimas frescos. 5.2 Principios de flotación (Arquímedes) Los tubos con aire comprimido generan suficiente flotabilidad para sostener plataformas livianas. Modelo","url":"https://doi.org/10.6084/m9.figshare.30740726.v5","authors":["Riveros, Ricardo"],"tags":["Ecological impacts of climate change and ecological adaptation","Environmentally sustainable engineering","Urban design","Urban hydrology"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.6084/m9.figshare.30740726.v5","addedAt":"2026-08-31T06:39:52.013Z","updatedAt":"2026-08-31T06:39:52.013Z"},{"id":"doi:10.6084/m9.figshare.30740726.v4","name":"<b>Elevated Urban Water Corridors and Solar-Powered Floating Platforms for Clean Mobility and Urban Heat Reduction</b>","source":"datacite","abstract":"Corredores Urbanos de Agua Elevada y Plataformas Flotantes Solares para Movilidad Limpia y Reducción del Calor Urbano 1. Resumen Muchas ciudades del mundo poseen ríos o arroyos entubados bajo grandes avenidas. Estas corrientes de agua, actualmente ocultas y desaprovechadas, podrían elevarse a niveles próximos a la superficie para generar corredores de agua destinados a mitigar el calor urbano, irrigar vegetación y servir como base para plataformas flotantes de transporte sustentable. La presente propuesta describe un sistema integrado donde canales paralelos de agua tratada sostienen plataformas flotantes apoyadas en tubos de aire comprimido, con movimiento regulado por turbinas hidráulicas alimentadas por energía solar. El sistema combina hidrología urbana, movilidad limpia y microclimatización sostenible. 2. Introducción y Justificación Científica Las ciudades enfrentan tres problemas críticos: Islas de calor urbano : Las grandes avenidas absorben radiación y elevan la temperatura entre 2 y 7 °C respecto a zonas verdes. Infraestructura subterránea desaprovechada : En muchas metrópolis, ríos y arroyos fueron entubados por razones sanitarias o urbanísticas. Emisiones del transporte : La movilidad basada en combustibles fósiles sigue siendo uno de los principales contaminantes urbanos.Ejemplos de ciudades con cursos de agua entubados: Buenos Aires, São Paulo, Ciudad de México, Madrid, Seúl y Los Ángeles. Algunas (Seúl) han demostrado que restaurar o elevar el agua reduce significativamente la temperatura local y mejora la calidad del aire.La propuesta apunta a transformar esta infraestructura subterránea en un recurso ambiental y social. 3. Objetivos Objetivo general Desarrollar un sistema urbano basado en agua elevada y plataformas flotantes para reducir la temperatura urbana, mejorar la vegetación y ofrecer transporte de baja energía. Objetivos específicos Reutilizar cursos de agua entubados mediante elevación hidráulica.Implementar canales paralelos de agua tratada sobre avenidas.Desarrollar plataformas flotantes basadas en tubos de aire comprimido (principio de Arquímedes).Incorporar turbinas solares para circulación del agua.Integrar riego automatizado mediante derivaciones de cada canal.Evaluar el impacto en la mitigación de calor urbano. 4. Tecnología Propuesta 4.1 Elevación del agua Se utilizan:bombas de baja energía,estaciones de nivel,sensores de flujo,turbinas impulsadas por energía solar.Esto permite mantener el agua circulando de manera continua sin riesgo de estancamiento. 4.2 Canales paralelos elevados Los canales se ubican bajo la superficie de la avenida , pero a muy poca profundidad , permitiendo accesibilidad para mantenimiento y regulación. El agua tratada circula en ambos sentidos o en un único sentido, según el diseño urbano. 4.3 Plataformas flotantes La base flotante funciona con: tubos de aire comprimido (similares a los flotadores de hidroaviones),estabilizadores laterales,sensores de distribución de carga,estructura liviana y rígida.La plataforma se apoya simultáneamente en ambos canales, permitiendo un desplazamiento lineal suave y sin rieles sólidos. 4.4 Movimiento El agua en los canales se mueve mediante:turbinas solares de baja potencia,sistemas de recirculación hidráulica,control de caudal para regular velocidad de las plataformas. 4.5 Integración verde Se incluyen maceteros longitudinales irrigados automáticamente desde los canales laterales.Esto convierte avenidas en “corredores verdes” con:árboles de bajo mantenimiento,plantas perennes,humedales lineales controlados. 5. Sustento Científico 5.1 Principios hidrológicos La elevación de agua subterránea es un procedimiento estándar en ingeniería civil. La circulación superficial contribuye a: reducción térmica por evaporación,disipación de calor por conducción y convección,creación de microclimas frescos. 5.2 Principios de flotación (Arquímedes) Los tubos con aire comprimido generan suficiente flotabilidad para sostener plataformas livianas. Modelo","url":"https://doi.org/10.6084/m9.figshare.30740726.v4","authors":["Riveros, Ricardo"],"tags":["Ecological impacts of climate change and ecological adaptation","Environmentally sustainable engineering","Urban design","Urban hydrology"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.6084/m9.figshare.30740726.v4","addedAt":"2026-08-31T06:39:52.013Z","updatedAt":"2026-08-31T06:39:52.013Z"},{"id":"doi:10.6084/m9.figshare.30740726.v3","name":"<b>Elevated Urban Water Corridors and Solar-Powered Floating Platforms for Clean Mobility and Urban Heat Reduction</b> / <b>Corredores Urbanos de Agua Elevada y Plataformas Flotantes Solares para Movilidad Limpia y Reducción del Calor Urbano</b>","source":"datacite","abstract":"Corredores Urbanos de Agua Elevada y Plataformas Flotantes Solares para Movilidad Limpia y Reducción del Calor Urbano 1. Resumen Muchas ciudades del mundo poseen ríos o arroyos entubados bajo grandes avenidas. Estas corrientes de agua, actualmente ocultas y desaprovechadas, podrían elevarse a niveles próximos a la superficie para generar corredores de agua destinados a mitigar el calor urbano, irrigar vegetación y servir como base para plataformas flotantes de transporte sustentable. La presente propuesta describe un sistema integrado donde canales paralelos de agua tratada sostienen plataformas flotantes apoyadas en tubos de aire comprimido, con movimiento regulado por turbinas hidráulicas alimentadas por energía solar. El sistema combina hidrología urbana, movilidad limpia y microclimatización sostenible. 2. Introducción y Justificación Científica Las ciudades enfrentan tres problemas críticos: Islas de calor urbano : Las grandes avenidas absorben radiación y elevan la temperatura entre 2 y 7 °C respecto a zonas verdes. Infraestructura subterránea desaprovechada : En muchas metrópolis, ríos y arroyos fueron entubados por razones sanitarias o urbanísticas. Emisiones del transporte : La movilidad basada en combustibles fósiles sigue siendo uno de los principales contaminantes urbanos.Ejemplos de ciudades con cursos de agua entubados: Buenos Aires, São Paulo, Ciudad de México, Madrid, Seúl y Los Ángeles. Algunas (Seúl) han demostrado que restaurar o elevar el agua reduce significativamente la temperatura local y mejora la calidad del aire.La propuesta apunta a transformar esta infraestructura subterránea en un recurso ambiental y social. 3. Objetivos Objetivo general Desarrollar un sistema urbano basado en agua elevada y plataformas flotantes para reducir la temperatura urbana, mejorar la vegetación y ofrecer transporte de baja energía. Objetivos específicos Reutilizar cursos de agua entubados mediante elevación hidráulica.Implementar canales paralelos de agua tratada sobre avenidas.Desarrollar plataformas flotantes basadas en tubos de aire comprimido (principio de Arquímedes).Incorporar turbinas solares para circulación del agua.Integrar riego automatizado mediante derivaciones de cada canal.Evaluar el impacto en la mitigación de calor urbano. 4. Tecnología Propuesta 4.1 Elevación del agua Se utilizan:bombas de baja energía,estaciones de nivel,sensores de flujo,turbinas impulsadas por energía solar.Esto permite mantener el agua circulando de manera continua sin riesgo de estancamiento. 4.2 Canales paralelos elevados Los canales se ubican bajo la superficie de la avenida , pero a muy poca profundidad , permitiendo accesibilidad para mantenimiento y regulación. El agua tratada circula en ambos sentidos o en un único sentido, según el diseño urbano. 4.3 Plataformas flotantes La base flotante funciona con: tubos de aire comprimido (similares a los flotadores de hidroaviones),estabilizadores laterales,sensores de distribución de carga,estructura liviana y rígida.La plataforma se apoya simultáneamente en ambos canales, permitiendo un desplazamiento lineal suave y sin rieles sólidos. 4.4 Movimiento El agua en los canales se mueve mediante:turbinas solares de baja potencia,sistemas de recirculación hidráulica,control de caudal para regular velocidad de las plataformas. 4.5 Integración verde Se incluyen maceteros longitudinales irrigados automáticamente desde los canales laterales.Esto convierte avenidas en “corredores verdes” con:árboles de bajo mantenimiento,plantas perennes,humedales lineales controlados. 5. Sustento Científico 5.1 Principios hidrológicos La elevación de agua subterránea es un procedimiento estándar en ingeniería civil. La circulación superficial contribuye a: reducción térmica por evaporación,disipación de calor por conducción y convección,creación de microclimas frescos. 5.2 Principios de flotación (Arquímedes) Los tubos con aire comprimido generan suficiente flotabilidad para sostener plataformas livianas. Modelo","url":"https://doi.org/10.6084/m9.figshare.30740726.v3","authors":["Riveros, Ricardo"],"tags":["Ecological impacts of climate change and ecological adaptation","Environmentally sustainable engineering","Urban design","Urban hydrology"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.6084/m9.figshare.30740726.v3","addedAt":"2026-08-31T06:39:52.013Z","updatedAt":"2026-08-31T06:39:52.013Z"},{"id":"doi:10.6084/m9.figshare.30740726.v2","name":"<b>Elevated Urban Water Corridors and Solar-Powered Floating Platforms for Clean Mobility and Urban Heat Reduction</b> / <b>Corredores Urbanos de Agua Elevada y Plataformas Flotantes Solares para Movilidad Limpia y Reducción del Calor Urbano</b>","source":"datacite","abstract":"Corredores Urbanos de Agua Elevada y Plataformas Flotantes Solares para Movilidad Limpia y Reducción del Calor Urbano 1. Resumen Muchas ciudades del mundo poseen ríos o arroyos entubados bajo grandes avenidas. Estas corrientes de agua, actualmente ocultas y desaprovechadas, podrían elevarse a niveles próximos a la superficie para generar corredores de agua destinados a mitigar el calor urbano, irrigar vegetación y servir como base para plataformas flotantes de transporte sustentable. La presente propuesta describe un sistema integrado donde canales paralelos de agua tratada sostienen plataformas flotantes apoyadas en tubos de aire comprimido, con movimiento regulado por turbinas hidráulicas alimentadas por energía solar. El sistema combina hidrología urbana, movilidad limpia y microclimatización sostenible. 2. Introducción y Justificación Científica Las ciudades enfrentan tres problemas críticos: Islas de calor urbano : Las grandes avenidas absorben radiación y elevan la temperatura entre 2 y 7 °C respecto a zonas verdes. Infraestructura subterránea desaprovechada : En muchas metrópolis, ríos y arroyos fueron entubados por razones sanitarias o urbanísticas. Emisiones del transporte : La movilidad basada en combustibles fósiles sigue siendo uno de los principales contaminantes urbanos.Ejemplos de ciudades con cursos de agua entubados: Buenos Aires, São Paulo, Ciudad de México, Madrid, Seúl y Los Ángeles. Algunas (Seúl) han demostrado que restaurar o elevar el agua reduce significativamente la temperatura local y mejora la calidad del aire.La propuesta apunta a transformar esta infraestructura subterránea en un recurso ambiental y social. 3. Objetivos Objetivo general Desarrollar un sistema urbano basado en agua elevada y plataformas flotantes para reducir la temperatura urbana, mejorar la vegetación y ofrecer transporte de baja energía. Objetivos específicos Reutilizar cursos de agua entubados mediante elevación hidráulica.Implementar canales paralelos de agua tratada sobre avenidas.Desarrollar plataformas flotantes basadas en tubos de aire comprimido (principio de Arquímedes).Incorporar turbinas solares para circulación del agua.Integrar riego automatizado mediante derivaciones de cada canal.Evaluar el impacto en la mitigación de calor urbano. 4. Tecnología Propuesta 4.1 Elevación del agua Se utilizan:bombas de baja energía,estaciones de nivel,sensores de flujo,turbinas impulsadas por energía solar.Esto permite mantener el agua circulando de manera continua sin riesgo de estancamiento. 4.2 Canales paralelos elevados Los canales se ubican bajo la superficie de la avenida , pero a muy poca profundidad , permitiendo accesibilidad para mantenimiento y regulación. El agua tratada circula en ambos sentidos o en un único sentido, según el diseño urbano. 4.3 Plataformas flotantes La base flotante funciona con: tubos de aire comprimido (similares a los flotadores de hidroaviones),estabilizadores laterales,sensores de distribución de carga,estructura liviana y rígida.La plataforma se apoya simultáneamente en ambos canales, permitiendo un desplazamiento lineal suave y sin rieles sólidos. 4.4 Movimiento El agua en los canales se mueve mediante:turbinas solares de baja potencia,sistemas de recirculación hidráulica,control de caudal para regular velocidad de las plataformas. 4.5 Integración verde Se incluyen maceteros longitudinales irrigados automáticamente desde los canales laterales.Esto convierte avenidas en “corredores verdes” con:árboles de bajo mantenimiento,plantas perennes,humedales lineales controlados. 5. Sustento Científico 5.1 Principios hidrológicos La elevación de agua subterránea es un procedimiento estándar en ingeniería civil. La circulación superficial contribuye a: reducción térmica por evaporación,disipación de calor por conducción y convección,creación de microclimas frescos. 5.2 Principios de flotación (Arquímedes) Los tubos con aire comprimido generan suficiente flotabilidad para sostener plataformas livianas. Modelo","url":"https://doi.org/10.6084/m9.figshare.30740726.v2","authors":["Riveros, Ricardo"],"tags":["Ecological impacts of climate change and ecological adaptation","Environmentally sustainable engineering","Urban design","Urban hydrology"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.6084/m9.figshare.30740726.v2","addedAt":"2026-08-31T06:39:52.013Z","updatedAt":"2026-08-31T06:39:52.013Z"},{"id":"doi:10.6084/m9.figshare.30740726.v1","name":"<b>Elevated Urban Water Corridors and Solar-Powered Floating Platforms for Clean Mobility and Urban Heat Reduction</b> / <b>Corredores Urbanos de Agua Elevada y Plataformas Flotantes Solares para Movilidad Limpia y Reducción del Calor Urbano</b>","source":"datacite","abstract":"Corredores Urbanos de Agua Elevada y Plataformas Flotantes Solares para Movilidad Limpia y Reducción del Calor Urbano 1. Resumen Muchas ciudades del mundo poseen ríos o arroyos entubados bajo grandes avenidas. Estas corrientes de agua, actualmente ocultas y desaprovechadas, podrían elevarse a niveles próximos a la superficie para generar corredores de agua destinados a mitigar el calor urbano, irrigar vegetación y servir como base para plataformas flotantes de transporte sustentable. La presente propuesta describe un sistema integrado donde canales paralelos de agua tratada sostienen plataformas flotantes apoyadas en tubos de aire comprimido, con movimiento regulado por turbinas hidráulicas alimentadas por energía solar. El sistema combina hidrología urbana, movilidad limpia y microclimatización sostenible. 2. Introducción y Justificación Científica Las ciudades enfrentan tres problemas críticos: Islas de calor urbano : Las grandes avenidas absorben radiación y elevan la temperatura entre 2 y 7 °C respecto a zonas verdes. Infraestructura subterránea desaprovechada : En muchas metrópolis, ríos y arroyos fueron entubados por razones sanitarias o urbanísticas. Emisiones del transporte : La movilidad basada en combustibles fósiles sigue siendo uno de los principales contaminantes urbanos.Ejemplos de ciudades con cursos de agua entubados: Buenos Aires, São Paulo, Ciudad de México, Madrid, Seúl y Los Ángeles. Algunas (Seúl) han demostrado que restaurar o elevar el agua reduce significativamente la temperatura local y mejora la calidad del aire.La propuesta apunta a transformar esta infraestructura subterránea en un recurso ambiental y social. 3. Objetivos Objetivo general Desarrollar un sistema urbano basado en agua elevada y plataformas flotantes para reducir la temperatura urbana, mejorar la vegetación y ofrecer transporte de baja energía. Objetivos específicos Reutilizar cursos de agua entubados mediante elevación hidráulica.Implementar canales paralelos de agua tratada sobre avenidas.Desarrollar plataformas flotantes basadas en tubos de aire comprimido (principio de Arquímedes).Incorporar turbinas solares para circulación del agua.Integrar riego automatizado mediante derivaciones de cada canal.Evaluar el impacto en la mitigación de calor urbano. 4. Tecnología Propuesta 4.1 Elevación del agua Se utilizan:bombas de baja energía,estaciones de nivel,sensores de flujo,turbinas impulsadas por energía solar.Esto permite mantener el agua circulando de manera continua sin riesgo de estancamiento. 4.2 Canales paralelos elevados Los canales se ubican bajo la superficie de la avenida , pero a muy poca profundidad , permitiendo accesibilidad para mantenimiento y regulación. El agua tratada circula en ambos sentidos o en un único sentido, según el diseño urbano. 4.3 Plataformas flotantes La base flotante funciona con: tubos de aire comprimido (similares a los flotadores de hidroaviones),estabilizadores laterales,sensores de distribución de carga,estructura liviana y rígida.La plataforma se apoya simultáneamente en ambos canales, permitiendo un desplazamiento lineal suave y sin rieles sólidos. 4.4 Movimiento El agua en los canales se mueve mediante:turbinas solares de baja potencia,sistemas de recirculación hidráulica,control de caudal para regular velocidad de las plataformas. 4.5 Integración verde Se incluyen maceteros longitudinales irrigados automáticamente desde los canales laterales.Esto convierte avenidas en “corredores verdes” con:árboles de bajo mantenimiento,plantas perennes,humedales lineales controlados. 5. Sustento Científico 5.1 Principios hidrológicos La elevación de agua subterránea es un procedimiento estándar en ingeniería civil. La circulación superficial contribuye a: reducción térmica por evaporación,disipación de calor por conducción y convección,creación de microclimas frescos. 5.2 Principios de flotación (Arquímedes) Los tubos con aire comprimido generan suficiente flotabilidad para sostener plataformas livianas. Modelo","url":"https://doi.org/10.6084/m9.figshare.30740726.v1","authors":["Riveros, Ricardo"],"tags":["Ecological impacts of climate change and ecological adaptation","Environmentally sustainable engineering","Urban design","Urban hydrology"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.6084/m9.figshare.30740726.v1","addedAt":"2026-08-31T06:39:52.013Z","updatedAt":"2026-08-31T06:39:52.013Z"},{"id":"doi:10.6084/m9.figshare.30529214.v1","name":"Title: Hydro-Aerial Urban Mobility System (HAUMS): Integrated Tubular Network for Clean Transport, Urban Cooling, and Water Recovery / Título: Sistema Hidro-Aéreo de Movilidad Urbana (HAUMS): Red tubular integrada para transporte limpio, enfriamiento urbano y recuperación del agua","source":"datacite","abstract":"Hydraulic Tubular Urban Transport System for Sustainable CitiesPart of the Integrated Network For Planetary Sustainability Initiative / Parte de la Iniciativa Red Integrada para la Sostenibilidad Planetaria.This proposal presents an innovative concept for sustainable urban transport: a hydraulic tubular network operating above existing streets, powered by a combination of water and air propulsion with solar energy assistance.The system is built around twin semi-enclosed tubes forming a figure-eight shape:The lower section carries a steady, low-turbulence flow of water that supports the capsules’ motion.The upper section channels controlled air streams that complement the hydraulic flow and increase efficiency.Passenger capsules, light and aerodynamic, travel inside these tubes. Movement is generated by the natural decline of water flow, assisted by solar-powered pumps and compressors.At height differences or intersections, hydraulic elevators —inspired by the lock mechanism of the Panama Canal— lift or lower the capsules smoothly, without traditional mechanical friction systems.The network can expand like a web around the city, creating circumferential routes that connect polluted or congested areas with cleaner, greener peripheries.This dual system provides zero-emission mobility while improving urban air circulation and water recycling, helping to stabilize microclimates in dense urban zones.Before physical construction, the project proposes computational simulation through hydrodynamic and atmospheric modeling, to evaluate flow behavior, energy balance, and safety parameters.This phase will also allow optimization of materials, urban integration, and control algorithms for automated guidance and scheduling.This concept integrates engineering, environmental design, and ethics:a transport technology that serves both people and nature, symbolizing a future where cities breathe, flow, and move sustainably together.Ricardo RiverosIndependent ResearcherEnvironmental Innovation-- EspañolSistema Tubular Hidráulico de Transporte Urbano para Ciudades SosteniblesEsta propuesta presenta un concepto innovador de transporte urbano sostenible: una red tubular hidráulica que opera sobre las calles existentes, impulsada por una combinación de fuerza del agua y del aire, asistida por energía solar.El sistema se compone de tubos gemelos semicerrados con forma de ocho:La sección inferior transporta un flujo continuo y de baja turbulencia de agua, que impulsa las cápsulas.La sección superior canaliza corrientes de aire controladas que complementan el movimiento hidráulico y aumentan la eficiencia.Las cápsulas, ligeras y aerodinámicas, se desplazan dentro de los tubos. El movimiento se genera por el declive natural del agua, reforzado por bombas y compresores solares.En los desniveles o intersecciones, elevadores hidráulicos —inspirados en las esclusas del Canal de Panamá— permiten ascensos y descensos suaves sin sistemas de fricción tradicionales.La red puede expandirse como una telaraña alrededor de la ciudad, formando anillos de circunvalación que conectan zonas contaminadas o congestionadas con áreas más limpias y verdes.El sistema ofrece movilidad sin emisiones, mejora la circulación del aire urbano, y reutiliza el agua, contribuyendo a estabilizar los microclimas en zonas densamente pobladas.Antes de su construcción, el proyecto propone una simulación computacional mediante modelos hidrodinámicos y atmosféricos para evaluar el comportamiento del flujo, el balance energético y los parámetros de seguridad.Esta etapa permitirá optimizar los materiales, la integración urbana y los algoritmos de control para el guiado y la programación automatizada de las cápsulas.Este concepto une ingeniería, diseño ambiental y ética:una tecnología de transporte que sirve al ser humano y a la naturaleza, simbolizando un futuro donde las ciudades respiran, fluyen y se mueven sosteniblemente en armonía.Ricardo RiverosInvestigador independienteInnovación ambienta","url":"https://doi.org/10.6084/m9.figshare.30529214.v1","authors":["Riveros, Ricardo"],"tags":["Ecological impacts of climate change and ecological adaptation"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.6084/m9.figshare.30529214.v1","addedAt":"2026-08-31T06:39:52.013Z","updatedAt":"2026-08-31T06:39:52.013Z"},{"id":"doi:10.5281/zenodo.17653018","name":"Supplementary Materials for: MULTI-LAYERED OPEN DATA, DIFFERENTIAL PRIVACY, AND SECURE ENGINEERING: THE OPERATIONAL FRAMEWORK FOR ENVIRONMENTAL DIGITAL TWINS","source":"datacite","abstract":"Overview This repository contains the revised manuscript and supporting datasets for the research article titled \"Multi-layered Open Data, Differential Privacy, and Secure Engineering: The Operational Framework for Environmental Digital Twins\". Repository Contents 1. Revised Article (Draft): The full text of the manuscript, updated to address reviewer comments and incorporating final edits regarding the GDPR/NIS2 operational framework. 2. Supplementary Material S1 (PRISMA Protocol): Detailed search strategy, inclusion/exclusion criteria, and flow diagram for the systematic literature review (2018–2025), compliant with PRISMA 2020 standards. 3. Supplementary Material S2 (Validation): Protocols for Monte Carlo simulations, sensitivity analysis results, and convergence metrics used to validate the privacy-utility trade-offs. 4. Supplementary Material S3 (Mappings): Extended traceability matrices linking environmental data lifecycle stages to specific GDPR articles and NIS2 controls.Abstract. Sustainable urban development increasingly relies on hyperlocal environmental analytics created by smart city platforms that combine stationary and mobile sensors, Earth observations, meteorology, and land-use data. However, accurate spatio-temporal resolution can provide indirect identification and amplify cybersecurity threats. This article proposes the regulatory and technical mapping that implements the General Data Protection Regulation (GDPR) and the Network and Information Security Directive (NIS2) throughout the lifecycle of environmental data – reception, transport, storage, analytics, sharing and publication. The methods combine doctrinal legal analysis, a review of the scope of recent research, formalized compliance modelling, modelling g with synthetic city-scale datasets, expert identification, and demonstration of integrated analytics. The demonstration links deep evaluation of neural abnormalities (convolutional plus recurrent layers), short-term Fourier transform of sensor signals, byte-to-image telemetry fingerprints, and protocol event counters, thereby tracking detection to explanatory evidence and to control actions. Deliverables include: a matrix aligning lifecycle stages with GDPR principles and rights, as well as with the responsibilities of NIS2; a checklist for assessing the impact on data protection, which takes into account the risks of fairness and stigmatization; a basic set of controls for identification and access, secure design, monitoring, continuity, supplier assurance, and incident reporting; as well as a multi-layered publishing strategy that combines transparency with privacy through aggregation, delayed release, differentiated privacy budgets, and research enclaves. The visualization confirms that technical signals can be included in audit-ready reporting and automated response, while the guidelines legally clarify the relevant bases for common use cases such as air quality assurance networks, noise mapping, citizen sensor applications, and mobility and exposure modelling. The effects of the policy emphasize shared services for small municipalities, supply chain security, and ongoing review to counteract the mosaic effect. Overall, the study shows how cities can maximize environmental and social value based on environmental data, while maintaining privacy, sustainability, and equity by design.","url":"https://doi.org/10.5281/zenodo.17653018","authors":["Korchenko, Oleksandr","Anna, Korchenko","Dmytro, Prokopovych-Tkachenko","Karpinski, Mikolaj","Kazmirchuk, Svitlana"],"tags":["smart cities; environmental data management; General Data Protection Regulation; Network and Information Security Directive; data protection impact assessment; privacy by design; cyber resilience of municipal platforms; multi-layered open data publishing; differential privacy; understandable artificial intelligence; green digital twins; supply chain security; Equality and equity in urban analytics"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.17653018","addedAt":"2026-08-31T06:39:52.013Z","updatedAt":"2026-08-31T06:39:57.285Z"},{"id":"doi:10.5281/zenodo.17653019","name":"Supplementary Materials for: MULTI-LAYERED OPEN DATA, DIFFERENTIAL PRIVACY, AND SECURE ENGINEERING: THE OPERATIONAL FRAMEWORK FOR ENVIRONMENTAL DIGITAL TWINS","source":"datacite","abstract":"Overview This repository contains the revised manuscript and supporting datasets for the research article titled \"Multi-layered Open Data, Differential Privacy, and Secure Engineering: The Operational Framework for Environmental Digital Twins\". Repository Contents 1. Revised Article (Draft): The full text of the manuscript, updated to address reviewer comments and incorporating final edits regarding the GDPR/NIS2 operational framework. 2. Supplementary Material S1 (PRISMA Protocol): Detailed search strategy, inclusion/exclusion criteria, and flow diagram for the systematic literature review (2018–2025), compliant with PRISMA 2020 standards. 3. Supplementary Material S2 (Validation): Protocols for Monte Carlo simulations, sensitivity analysis results, and convergence metrics used to validate the privacy-utility trade-offs. 4. Supplementary Material S3 (Mappings): Extended traceability matrices linking environmental data lifecycle stages to specific GDPR articles and NIS2 controls.Abstract. Sustainable urban development increasingly relies on hyperlocal environmental analytics created by smart city platforms that combine stationary and mobile sensors, Earth observations, meteorology, and land-use data. However, accurate spatio-temporal resolution can provide indirect identification and amplify cybersecurity threats. This article proposes the regulatory and technical mapping that implements the General Data Protection Regulation (GDPR) and the Network and Information Security Directive (NIS2) throughout the lifecycle of environmental data – reception, transport, storage, analytics, sharing and publication. The methods combine doctrinal legal analysis, a review of the scope of recent research, formalized compliance modelling, modelling g with synthetic city-scale datasets, expert identification, and demonstration of integrated analytics. The demonstration links deep evaluation of neural abnormalities (convolutional plus recurrent layers), short-term Fourier transform of sensor signals, byte-to-image telemetry fingerprints, and protocol event counters, thereby tracking detection to explanatory evidence and to control actions. Deliverables include: a matrix aligning lifecycle stages with GDPR principles and rights, as well as with the responsibilities of NIS2; a checklist for assessing the impact on data protection, which takes into account the risks of fairness and stigmatization; a basic set of controls for identification and access, secure design, monitoring, continuity, supplier assurance, and incident reporting; as well as a multi-layered publishing strategy that combines transparency with privacy through aggregation, delayed release, differentiated privacy budgets, and research enclaves. The visualization confirms that technical signals can be included in audit-ready reporting and automated response, while the guidelines legally clarify the relevant bases for common use cases such as air quality assurance networks, noise mapping, citizen sensor applications, and mobility and exposure modelling. The effects of the policy emphasize shared services for small municipalities, supply chain security, and ongoing review to counteract the mosaic effect. Overall, the study shows how cities can maximize environmental and social value based on environmental data, while maintaining privacy, sustainability, and equity by design.","url":"https://doi.org/10.5281/zenodo.17653019","authors":["Korchenko, Oleksandr","Anna, Korchenko","Dmytro, Prokopovych-Tkachenko","Karpinski, Mikolaj","Kazmirchuk, Svitlana"],"tags":["smart cities; environmental data management; General Data Protection Regulation; Network and Information Security Directive; data protection impact assessment; privacy by design; cyber resilience of municipal platforms; multi-layered open data publishing; differential privacy; understandable artificial intelligence; green digital twins; supply chain security; Equality and equity in urban analytics"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.17653019","addedAt":"2026-08-31T06:39:52.013Z","updatedAt":"2026-08-31T06:39:57.285Z"},{"id":"doi:10.5281/zenodo.17565832","name":"eVTOL System with Power Supply via Flexible Coupling (SkyMobil Project)","source":"datacite","abstract":"This upload contains the complete public disclosure package of the invention titled “eVTOL System with Power Supply via Flexible Coupling” (SkyMobil Project).The invention was originally filed as Romanian patent application no. A00440, on 03 October 2025, at OSIM (State Office for Inventions and Trademarks, Romania). The package includes: SkyMobil_OSIM_Deposit.pdf – the original patent filing text; SkyMobil_Technical_Description.pdf – a detailed document explaining the technical architecture and implementation aspects; SkyMobil_Letter_of_Intent_Public.pdf – a statement of intent and public disclosure by the inventor; SkyMobil_Abstract_WIPO.pdf – an international-format abstract summarizing the invention. The SkyMobil system proposes a new model of electric vertical mobility (eVTOL) based on guided aerial routes with flexible power coupling, enabling both controlled networked flight and short-range free flight modes. The invention addresses energy autonomy, safety, and scalability in urban and regional air transport. This publication is made for the purpose of establishing public record, proof of authorship, and dissemination of the invention by the author Bujor Valentin, independent inventor, Bacău, Romania.","url":"https://doi.org/10.5281/zenodo.17565832","authors":["Bujor, Valentin"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.17565832","addedAt":"2026-08-31T06:39:52.013Z","updatedAt":"2026-08-31T06:39:52.013Z"},{"id":"doi:10.2139/ssrn.4132305","name":"A Science-Policy Framework for a Green Economic Recovery after the Covid-19 Pandemic","source":"preprints","abstract":"","url":"https://doi.org/10.2139/ssrn.4132305","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2022","doi":"10.2139/ssrn.4132305","addedAt":"2026-08-31T06:39:52.014Z","updatedAt":"2026-08-31T06:39:54.187Z"},{"id":"doi:10.2139/ssrn.4417370","name":"Green Energy Transmission Chain of Climate Management and Smart Transition","source":"preprints","abstract":"","url":"https://doi.org/10.2139/ssrn.4417370","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2023","doi":"10.2139/ssrn.4417370","addedAt":"2026-08-31T06:39:52.014Z","updatedAt":"2026-08-31T06:39:54.187Z"},{"id":"doi:10.21203/rs.3.rs-405658/v1","name":"Practical geospatial and sociodemographic predictors of human mobility","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-405658/v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2021","doi":"10.21203/rs.3.rs-405658/v1","addedAt":"2026-08-31T06:39:52.014Z","updatedAt":"2026-08-31T06:39:54.187Z"},{"id":"doi:10.20944/preprints202302.0066.v1","name":"Smarter Sustainable Tourism: Data-Driven Multi-Perspective Parameter Discovery for Autonomous Design and Operations","source":"preprints","abstract":"The Global natural and manmade events are exposing the fragility of the tourism industry and its impact on the global economy. Prior to the COVID-19 pandemic, tourism contributed 10.3% to the global GDP and employed 333 million people but saw a significant decline due to the pandemic. Sustainable and smart tourism requires collaboration from all stakeholders and a comprehensive understanding of global and local issues to drive responsible and innovative growth in the sector. This paper presents an approach for leveraging big data and deep learning to dis-cover holistic, multi-perspective (e.g., local, cultural, national, and international) and objective information on a subject. Specifically, we develop a machine learning pipeline to extract parameters from academic literature and public opinions on Twitter, providing a unique and comprehensive view of the industry from both academic and public perspectives. The academic-view dataset was created from the Scopus database and contains 156,759 research articles from 2000 to 2022, which were modelled to identify 33 distinct parameters in 4 categories: Tourism Types, Planning, Challenges, and Media amp; Technologies. A Twitter dataset of 485,813 tweets was collected over 18 months starting March 2021 to August 2022 to showcase public perception of tourism in Saudi Arabia, which was modelled to reveal 13 parameters categorized into two broader sets: Tourist Attractions and Tourism Services. Discovering system parameters are re-quired to embed autonomous capabilities in systems and for decision-making and problem-solving during system design and operations. The proposed approach improves AI-based information discovery by extending the use of scientific literature, Twitter, and other sources for autonomous, dynamic optimizations of systems, promoting novel research in the tourism sector and contributing to the development of smart and sustainable societies. The paper also presents a comprehensive knowledge structure and literature review of the tourism sector based on over 250 research articles.","url":"https://doi.org/10.20944/preprints202302.0066.v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2023","doi":"10.20944/preprints202302.0066.v1","addedAt":"2026-08-31T06:39:52.014Z","updatedAt":"2026-08-31T06:39:57.842Z"},{"id":"doi:10.20944/preprints202111.0316.v1","name":"Current Trends in Urban Conservation: Medieval Historic Arab City Centers","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202111.0316.v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2021","doi":"10.20944/preprints202111.0316.v1","addedAt":"2026-08-31T06:39:52.014Z","updatedAt":"2026-08-31T06:39:57.842Z"},{"id":"doi:10.2139/ssrn.4330367","name":"Covid-19 and Low-Cost Bus Companies in Europe: Before and During Pandemic Crisis Strategies and Customer Perceptions","source":"preprints","abstract":"","url":"https://doi.org/10.2139/ssrn.4330367","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2023","doi":"10.2139/ssrn.4330367","addedAt":"2026-08-31T06:39:52.014Z","updatedAt":"2026-08-31T06:39:57.842Z"},{"id":"doi:10.21203/rs.3.rs-137855/v1","name":"A Science-Policy Framework for a Green Economic Recovery After the COVID-19 Pandemic","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-137855/v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2021","doi":"10.21203/rs.3.rs-137855/v1","addedAt":"2026-08-31T06:39:52.014Z","updatedAt":"2026-08-31T06:39:54.187Z"},{"id":"doi:10.2139/ssrn.4590521","name":"Examining the Perceptions and Attitudes Towards Women's Employment and Leadership in the Blue Economy: A Case Study of India","source":"preprints","abstract":"The Blue Economy (BE) is a turning point in the economic growth of the world as well as the social inclusion of marginalized people for better living conditions. To capitalize on opportunities presented by the BE and advance socioeconomic development, the Indian government created the Blue Economy Framework in 2021. Unfortunately, there is still inadequate progress related to the inclusion of women and disadvantaged communities in India's vast and complex socioeconomic ecosystem, which restricts access to chances in the BE. This literature review study examined 136 papers and reports on women's employment and leadership in the BE and coastal regions. The reviews highlighted that though there are gender mainstreaming policies advanced by the Government of India at the national level, the majority of India's BE sectors, are dominated by men. This is partially because of socio-cultural constructs, a lack of funding for women to launch related businesses, political barriers, and a lack of women's initiatives and training, respectively. Women have also been relegated to precarious coastal and BE professions as a result of negative opinions of their leadership and employment, which limits socio-economic empowerment. However, there is a shift in perception towards women's employment in some industries, such as small businesses involved in coastal tourism, as men and society are realizing the benefits of women in sustaining household welfare due to the vulnerability of marine fisheries and the effects of COVID-19, which presents a chance for women's employment and leadership. We recommend the creation of baseline inventories to generate gender-disaggregated data to inform policy on which sectors hinder women's participation as well as the development of a new pathway and framework to create pathways for women's holistic participation in India's BE are therefore necessary and the use of the systems approach to map actors-especially in coastal communities-as local communities willingness to support women's employment and leadership in BE sectors could aid in women inclusion and empowerment.","url":"https://doi.org/10.2139/ssrn.4590521","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2023","doi":"10.2139/ssrn.4590521","addedAt":"2026-08-31T06:39:52.014Z","updatedAt":"2026-08-31T06:39:54.187Z"},{"id":"doi:10.2139/ssrn.4310245","name":"Global Supply Chains in a Post-Covid Multipolar World: Korea’s Options","source":"preprints","abstract":"English Abstract: The history of South Korea’s spectacular growth trajectory is based on its export prowess, and that industrialization narrative is based on a supply chain strategy that connected the economy to the global economy. Korea was able to manage this process with tremendous efficiency and success. Contrary to the experience of past decades, however, the current global constellation of factors and other supply- chain realities are forcing a re-examination of this approach. What specifically has changed? First, the reliability of supply chains was severely impaired by the Covid-19 pandemic and its consequences. Near-shoring or on-shoring became much more attractive as compared with efficient global supply chain management and the costs of interruptions as compared with higher inventory levels has changed the production calculus. Second, the continuation of a bitter economic rivalry between the United States and China has seen both nations trying to become more resilient in the procurement of inputs, with consequences for others, such as Korea. Third, the nature of production has shifted with new technologies and the necessity of securing essential minerals and metals needed for new products, such as electric car batteries and micro-chips. These factors mean that industries that that don’t quickly adapt to new circumstances will suffer competitive disadvantages in the global marketplace. South Korea has long prided itself on being an industrial powerhouse that can insulate itself from many global disturbances. However, as the scenario analysis undertaken by KIEP in 2017 has shown, innocent by-standers can be affected by trade wars, global turndowns, and now pandemics. Korea’s “middle power status “does not provide sufficient insurance in a world of shifting supply chains and geo-political strife. For this reason, KIEP has undertaken a new analysis of supply chain management with the aim of understanding new developments and better protecting today’s, and more importantly, tomorrow’s industries from future shocks. The purpose of this study is to identify Korea’ vulnerabilities and to take a first step at suggesting changes in both government and corporate actions to help protect the economy. Korean Abstract: 21세기 초부터 한국 대기업을 중심으로 이루어진 글로벌 공급망 구축은 기업의 효율성 증대와 비용 절감으로 이어졌다. 하지만 미국과 중국 간의 지정학적 갈등이 고조되는 가운데 발생한 코로나19 팬데믹과 유럽 내 갈등은 탈글로벌화(deglobalization)의 가능성과 함께 글로벌 공급망의 불안정성을 야기하고 있다. 이러한 글로벌 정세 변화로 인해 수출 기반의 산업경제구조를 지닌 한국 입장에서 안정적인 공급망 확보는 필수적인 요소가 되었다. 이에 본고에서는 한국이 겪고 있는 공급망 취약성을 해소하고 나아가 지속적인 경제성장을 달성하기 위한 방안을 제시하고자 한다. 한국은 원재료 확보를 위한 투자가 여타 부문 대비 저조할 뿐만 아니라 산업의 기대 성장률 대비 핵심 원자재 관리 능력도 미흡한 실정이다. 또한 중국이 몇 년 전부터 반도체를 비롯한 첨단산업 분야에서 자급률을 높이기 위한 정책을 추진하고 있다는 점에서 한국은 높은 대중 의존도를 낮출 필요가 있다. 전 세계 제조업 부문에서 중국의 원재료 및 중간재가 차지하는 비중은 평균 3.6%를 기록한 반면에 한국은 16% 수준이며, 특정 전자산업의 경우 해당 수치가 30% 가까이 올라간다. 이전에는 비용 절감에만 초점을 맞춰 공급망을 구축하였으나, 앞으로는 예상치 못한 외부 충격으로 인한 생산 중단에도 대응할 수 있는 방안을 포함한 공급망 계획을 수립할 필요가 있다. 또한 제조업을 보완할 수 있는 서비스 산업 공급망 구축 및 확대도 추진해야 한다. 한국이 이와 같이 단계별 절차를 밟아간다면 미국 수준까지는 어렵더라도 핵심 분야에서의 자체적인 공급망 구축은 가능할 것으로 보인다. 한국정부가 리쇼어링 및 규제완화 정책을 펼쳐나간다면 외국기업의 대한국 투자를 촉진할 수 있을 것으로 예상되며, 이를 통해 한국 내 공급망을 안정화시킬 수 있는 발판이 될 것이다. 이와 더불어 RCEP, IPEF, CPTPP와 같은 역내 협력체 및 국가간 투자는 한국기업의 핵심 원재료 확보 역량을 강화하는 데 기여할 수 있다. 수출 주도형 국가인 한국 입장에서는 앞으로 예상치 못한 외부충격 및 지정학적 위험에 대응할 수 있는 보다 안정적인 공급망 구축이 필요할 것이다. 이를 위해 본고에서는 다음과 같은 정책 목표를 제시한다: ① 지속적인 고부가가치 제품 및 서비스 다변화 ② 효율성보다는 안정성을 추구하는 원재료 공급망 다변화 ③ ‘Just-in-time’보다는 ‘Just-in-case’ 전략의 재고관리 방안 도입 ④ 희귀물질에 대한 의존도를 낮추는 혁신 ⑤ 전략적 중요도가 높은 산업의 리쇼어링 추진 ⑥ 무역원활화, 투명성, 규제협력 등의 개선 ⑦ 위기 발생 시 협력 가능한 메커니즘 마련 ⑧ 협정을 통한 서비스 교역 확대 이러한 정책이 효과를 거두기 위해서는 안정적인 공급망 구축을 우선순위로 두고 한국 정부와 산업계의 협력이 필요하다. 앞으로 신기술 및 신산업의 부상이 글로벌 경제를 선도할 것으로 예상되므로 한국은 공급망 관리를 밑바탕에 두고 혁신 및 투자 전략을 세움으로써 지속 가능한 경제성장을 달성할 수 있을 것이다.","url":"https://doi.org/10.2139/ssrn.4310245","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2022","doi":"10.2139/ssrn.4310245","addedAt":"2026-08-31T06:39:52.014Z","updatedAt":"2026-08-31T06:39:54.187Z"},{"id":"doi:10.2139/ssrn.4023218","name":"Impact of the COVID-19 Pandemic on the Diagnosis of Tuberculosis in Brazil: Is the WHO End TB Strategy at Risk?","source":"preprints","abstract":"","url":"https://doi.org/10.2139/ssrn.4023218","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2022","doi":"10.2139/ssrn.4023218","addedAt":"2026-08-31T06:39:52.014Z","updatedAt":"2026-08-31T06:39:54.187Z"},{"id":"doi:10.20944/preprints202205.0074.v1","name":"A Review of Future Household Waste Management for Sustainable Environment in Malaysian Cities","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202205.0074.v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2022","doi":"10.20944/preprints202205.0074.v1","addedAt":"2026-08-31T06:39:52.014Z","updatedAt":"2026-08-31T06:39:54.187Z"},{"id":"doi:10.2139/ssrn.3965786","name":"Cato's Project on Poverty and Inequality in California: Final Report","source":"preprints","abstract":"","url":"https://doi.org/10.2139/ssrn.3965786","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2022","doi":"10.2139/ssrn.3965786","addedAt":"2026-08-31T06:39:52.014Z","updatedAt":"2026-08-31T06:39:54.187Z"},{"id":"doi:10.2139/ssrn.3686440","name":"COVID-21","source":"preprints","abstract":"","url":"https://doi.org/10.2139/ssrn.3686440","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2020","doi":"10.2139/ssrn.3686440","addedAt":"2026-08-31T06:39:52.014Z","updatedAt":"2026-08-31T06:39:54.187Z"},{"id":"doi:10.2139/ssrn.3866040","name":"Threats on the Prosperous Society and the Future of Capitalism","source":"preprints","abstract":"The prosperous capitalistic society is a relatively new occurrence. It emerged as a result of several developments which increased the world GDP per capita six-fold between 1900 and 2000. The COVID-19 pandemic has demonstrated how vulnerable and fragile the prosperous society is. Its stability hinges on delicate balances between complex processes, and any disruption of these balances may lead to a fatal crisis. Crises which loom for the next decades include climate change, human overpopulation, the reckless exploitation of natural resources, air pollution, and the plastic waste pollution of land and sea. These crises are inherent to the very nature of capitalism which is based on excessive production and consumption that do not go along with sustainability. Following some crises, such as the 2008 subprime crisis and the COVID-19 pandemic, demands were made to radically change the capitalistic system. However, the history of the prosperous society has shown that capitalism is the only economic system that can maintain a decent quality of life for most of the population. What we need is not a revolution or some new ideology but rather pragmatic steps to mend the flaws of capitalism without losing its benefits.","url":"https://doi.org/10.2139/ssrn.3866040","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2021","doi":"10.2139/ssrn.3866040","addedAt":"2026-08-31T06:39:52.014Z","updatedAt":"2026-08-31T06:39:54.187Z"},{"id":"doi:10.2139/ssrn.3699861","name":"Imperatives for the Recovery of Indonesia’s Education, Labor and SME Sectors Post COVID-19","source":"preprints","abstract":"COVID-19 pandemic has unleashed a crisis of unprecedented proportions, devastated economies, fueled unemployment across all economic sectors, drastically decreased investment, and plunged the Indonesian economy toward a recession. Government response has been swift and wide-ranging in its efforts to mitigate the impact of the crisis on the economy and vulnerable sections of society. The article proposes two broad based initiatives, inter alia, containing COVID-19 impact during emergency response phase in the short term, and tackling structural problems in the long term to achieve sustained economic transformation and inclusive development. The initiatives include strengthening and widening the scope of government programs already in place to support business and society in areas of education, labor and employment, and SME trade and investment. The thrust of the pathways underscore the importance of accelerating the development of national information highway and the ASEAN connectivity though ASEAN digitalization integration framework action plan (2019-2025) that are crucial for mainstreaming the adoption and deployment of digitalization in the economy and society in business processes and government policies, practices and procedures that ae pre requisites for the future industry revolution 4.0 economy and society.","url":"https://doi.org/10.2139/ssrn.3699861","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2020","doi":"10.2139/ssrn.3699861","addedAt":"2026-08-31T06:39:52.014Z","updatedAt":"2026-08-31T06:39:54.187Z"},{"id":"doi:10.2139/ssrn.4605201","name":"Achieving the Human Right to a Caring Society in an Aging America","source":"preprints","abstract":"","url":"https://doi.org/10.2139/ssrn.4605201","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2023","doi":"10.2139/ssrn.4605201","addedAt":"2026-08-31T06:39:52.014Z","updatedAt":"2026-08-31T06:39:54.187Z"},{"id":"doi:10.20944/preprints202601.2318.v1","name":"Evaluation of Intelligent Transportation System Integration for Sustainable Urban Mobility","source":"crossref","abstract":"Paratransit system is a public transportation mode, commonly operated by private transportation enterprises. In many countries minibuses considered as paratransit systems and they often criticized for their inability to integrate with smart fare payment systems. Their revenue model is competitive, so it creates security vulnerabilities, and their sustainable service quality, which lags behind other modes of transport in terms of driving characteristics and transport system integration, is a significant disadvantage that sets minibuses apart from other modes of transport. However, given society&amp;#039;s usage habits, minibuses emerge as an indispensable mode of mobility, especially in certain areas and for specific individuals. This situation shows that minibuses need to be made infrastructure-compatible, controllable, and sustainable. This study examines the applicability of smart fare collection systems in minibuses using a multi-criteria evaluation framework. And, it considers economic, technological, operational, and legal criteria holistically. Within the scope of the study, a pilot application evaluated, comparing the cash-based structure with the option of using a digital payment system from the operators&amp;#039; perspective. Thus, the system&amp;#039;s transformation potential analytically assessed. The findings indicate that adopting an electronic fare collection infrastructure is perceived to improve sustainable service quality, strengthen control mechanisms, and support revenue transparency.","url":"https://doi.org/10.20944/preprints202601.2318.v1","authors":["Onur Sahin"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-01-30T01:16:43Z","doi":"10.20944/preprints202601.2318.v1","addedAt":"2026-08-31T06:39:52.483Z","updatedAt":"2026-08-31T06:39:52.483Z"},{"id":"doi:10.18488/26.v15i1.4889","name":"Assessing the effects of electric mobility on urban air pollution: Evidence from NO₂ and PM₂.₅ reductions","source":"crossref","abstract":"The rapid expansion of electric vehicles (EVs) is widely promoted as a strategy to improve urban air quality, yet empirical evidence quantifying their environmental benefits under different electricity-generation contexts remains limited. This study investigates the relationship between EV adoption and ambient concentrations of nitrogen dioxide (NO₂) and fine particulate matter (PM₂.₅), with a particular focus on the moderating role of electricity grid composition. Using a panel dataset of high-traffic urban areas, fixed-effects regression models are employed to estimate the association between monthly pollutant concentrations and EV market share, controlling for spatial and temporal confounders. Results show that increased EV penetration is associated with statistically significant reductions in NO₂ and more modest declines in PM₂.₅. Specifically, a one-percentage-point increase in EV share corresponds to an average reduction of 0.36 µg/m³ in NO₂ and 0.11 µg/m³ in PM₂.₅. A scenario-based analysis further examines air quality outcomes under varying EV adoption rates and alternative electricity grid assumptions. Findings indicate that NO₂ reductions are substantial across scenarios, whereas PM₂.₅ benefits are smaller and highly sensitive to the carbon intensity of electricity generation. Under renewable-dominant grid assumptions, projected pollution reductions are considerably larger than under fossil-heavy scenarios. Overall, the results demonstrate that EV deployment contributes meaningfully to reducing traffic-related NO₂ pollution, but its effectiveness in lowering PM₂.₅ depends critically on electricity decarbonization. The study underscores the need for integrated transport and energy policies to maximize air quality co-benefits.","url":"https://doi.org/10.18488/26.v15i1.4889","authors":["Youssef Emam","Rima Isaifan"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-04-07T07:00:38Z","doi":"10.18488/26.v15i1.4889","addedAt":"2026-08-31T06:39:52.483Z","updatedAt":"2026-08-31T06:39:52.483Z"},{"id":"doi:10.1016/j.urbmob.2026.100189","name":"Impact of bus rapid transit on freight movement: A telematics approach","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.urbmob.2026.100189","authors":["Yunfei Ma","Elkafi Hassini","Saiedeh Razavi"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-01-21T19:46:55Z","doi":"10.1016/j.urbmob.2026.100189","addedAt":"2026-08-31T06:39:52.483Z","updatedAt":"2026-08-31T06:39:52.483Z"},{"id":"doi:10.1016/j.urbmob.2026.100254","name":"Run to the hills: Car ownership as a shield against ageing anxiety in China","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.urbmob.2026.100254","authors":["Jiahang Liu","Yushun Tang","Qiyang Liu"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-07-07T03:05:44Z","doi":"10.1016/j.urbmob.2026.100254","addedAt":"2026-08-31T06:39:52.483Z","updatedAt":"2026-08-31T06:39:52.483Z"},{"id":"doi:10.56578/cis140406","name":"Transitioning to Sustainable Urban Mobility: Behavioral and Economic Drivers of Solar-Assisted Micro-Mobility Adoption in Emerging Urban Indonesia","source":"crossref","abstract":"","url":"https://doi.org/10.56578/cis140406","authors":["Edi Purwanto","Hari Nugraha","Ismail Alif Siregar"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-07-27T10:44:51Z","doi":"10.56578/cis140406","addedAt":"2026-08-31T06:39:52.483Z","updatedAt":"2026-08-31T06:39:52.483Z"},{"id":"doi:10.1016/j.urbmob.2026.100201","name":"Walk the talk - understanding perceptions of walkability in Paola, Malta, as a key component of the 15-Minute City","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.urbmob.2026.100201","authors":["Wendy Jo Mifsud","Thérèse Bajada","Sarah Scheiber"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-02-25T00:44:50Z","doi":"10.1016/j.urbmob.2026.100201","addedAt":"2026-08-31T06:39:52.483Z","updatedAt":"2026-08-31T06:39:52.483Z"},{"id":"doi:10.20944/preprints202607.1366.v1","name":"Electric Motorcycle Adoption and Urban Mobility: A Bibliometric Review","source":"crossref","abstract":"The wider adoption of electric motorcycles has increased interest in their role in urban mobility. However, research on e-motorcycle adoption remains scattered across different disciplines, with no comprehensive overview of the field. Bibliometric analysis was utilised to identify the main research themes, and highlight future research directions. A total of 165 publications published between 2000 and June 2026 were retrieved from the Scopus and Web of Science databases and analysed using the Bibliometrix R package. The first publication appeared in 2005, but research grew rapidly after 2020 and reached its peak in 2025. China was the leading contributor to the field. The findings show that research has shifted from an early focus on battery technology and environmental performance to narrower issues, such as user behaviour, charging infrastructure, and sustainable urban mobility. Three main research themes were identified: sustainability and environmental policy; transport policy and economics; and behavioural and psychological factors. The review also identified important research gaps in governance, renewable energy, social inclusion, and studies from African cities. Future studies should give more attention to how policies, renewable energy-powered charging, and inclusive mobility initiatives can support e-motorcycle adoption in Africa.","url":"https://doi.org/10.20944/preprints202607.1366.v1","authors":["Eric Mogire"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-07-24T00:11:21Z","doi":"10.20944/preprints202607.1366.v1","addedAt":"2026-08-31T06:39:52.483Z","updatedAt":"2026-08-31T06:39:57.284Z"},{"id":"doi:10.1177/27652157261457651","name":"Innovation Resistance and Trust in Urban Air Mobility Adoption: Implications for Smart Tourism","source":"crossref","abstract":"Urban Air Mobility (UAM) holds considerable promise for mitigating urban congestion and addressing environmental challenges. Nonetheless, the extent of its public acceptance remains uncertain. Drawing on Innovation Resistance Theory (IRT), this study integrates trust to examine how innovation barriers influence intention to adopt UAM. We analyzed survey data from 506 South Korean adults (August–September 2024) using partial least squares structural equation modeling. Results indicate that usage and value barriers most significantly suppress adoption intention, both directly and indirectly through trust, with trust serving as a selective mediator for these two barriers. Image barriers also exerted a significant direct effect on intention, while cyber and privacy and tradition barriers showed no significant effects. Cyber and privacy, tradition, and image barriers exerted comparatively insignificant effects on trust. The study advances IRT by formalizing trust as an asymmetric mediator and offers smart-tourism stakeholders an evidence-based hierarchy of intervention priorities for accelerating equitable UAM adoption.","url":"https://doi.org/10.1177/27652157261457651","authors":["Miyoung Sim","Hany Kim"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-06-05T11:06:47Z","doi":"10.1177/27652157261457651","addedAt":"2026-08-31T06:39:52.483Z","updatedAt":"2026-08-31T06:39:52.483Z"},{"id":"doi:10.1007/978-3-032-20840-8_14","name":"Enhancing Urban Mobility: Analysis of the 15-Minute City for an Accessible and Eco-Friendly Urban Environment in Utrecht","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-032-20840-8_14","authors":["Nolwenn Sourimant","Peter Nijkamp","Karima Kourtit","Louafi Bouzouina"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-07-10T22:37:27Z","doi":"10.1007/978-3-032-20840-8_14","addedAt":"2026-08-31T06:39:52.483Z","updatedAt":"2026-08-31T06:39:52.483Z"},{"id":"doi:10.2514/1.c038188","name":"Annoyance Model Assessments of Urban Air Mobility Vehicle Operations","source":"crossref","abstract":"As urban air mobility (UAM) vehicles begin to enter service, consideration must be given to vertiport siting and flight routing to help reduce community noise impact and promote adoption by the community. A possible early strategy to reduce annoyance is to operate the vehicles in areas of existing high ambient noise. In order to assess the effectiveness of such a strategy, an annoyance model that takes audibility into account is needed. This paper reviews a recently developed annoyance model that includes audibility as a factor and applies it to two flight operations. A simple overflight case is first undertaken to demonstrate the approach. A point-to-point operation in the New York City area is then considered to demonstrate how annoyance varies across an urban soundscape. The cases considered use modeled UAM vehicle noise propagated to a set of ground observers as the signals and either recorded or modeled ambient acoustic data as the maskers.","url":"https://doi.org/10.2514/1.c038188","authors":["Stephen A. Rizzi","Andrew W. Christian","Stefan J. Letica","Shane V. Lympany"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-07-02T07:08:08Z","doi":"10.2514/1.c038188","addedAt":"2026-08-31T06:39:52.483Z","updatedAt":"2026-08-31T06:39:52.483Z"},{"id":"doi:10.46246/kjasem.260008","name":"A Conceptual Fatigue Risk Management Model for Short-Haul Duty Cycles in Urban Air Mobility Operations","source":"crossref","abstract":"","url":"https://doi.org/10.46246/kjasem.260008","authors":["Seokjong Lee"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-06-30T12:36:10Z","doi":"10.46246/kjasem.260008","addedAt":"2026-08-31T06:39:52.483Z","updatedAt":"2026-08-31T06:39:52.483Z"},{"id":"doi:10.1016/j.jairtraman.2026.103070","name":"Measuring the perceived risk of urban air Mobility: Integrating text mining of online reviews with a multi-dimensional assessment model","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.jairtraman.2026.103070","authors":["Xiumei Zheng","Zilong Gu","Yonggang Yang","Zhiheng Li","Lan Ye"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-06-22T19:05:24Z","doi":"10.1016/j.jairtraman.2026.103070","addedAt":"2026-08-31T06:39:52.483Z","updatedAt":"2026-08-31T06:39:52.483Z"},{"id":"doi:10.4018/979-8-2600-0587-3.ch003","name":"From Policy to Practice","source":"crossref","abstract":"This chapter examines sustainable urban mobility implementation challenges in middle-income Mediterranean cities through Sousse, Tunisia's Corniche Boujaafar pedestrianisation project. Using the LUTEI (Land Use, Transport, Environment, Institutions) framework, the study analyses the persistent gap between policy ambitions and practical outcomes. The qualitative methodology incorporates forty-five stakeholder interviews, eighteen months of observations, and comparative analysis with similar Mediterranean interventions. Four critical implementation barriers emerge: institutional fragmentation, resource constraints, stakeholder resistance, and technical capacity limitations. Sousse's digital assets (PDUI Geoportal, surveillance cameras, and January 14th Avenue pedestrian lights) offer scalable solutions. The findings demonstrate that tourism-dependent Mediterranean cities face distinctive challenges requiring integrated approaches that balance economic development with sustainability objectives whilst building local institutional capacity. The study contributes empirically grounded insights into policy implementation dynamics in middle-income Mediterranean contexts, revealing that successful sustainable mobility interventions require sustained political commitment, adaptive implementation strategies, and meaningful stakeholder engagement throughout the process.","url":"https://doi.org/10.4018/979-8-2600-0587-3.ch003","authors":["Aymen Ghedira"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-03-19T18:35:04Z","doi":"10.4018/979-8-2600-0587-3.ch003","addedAt":"2026-08-31T06:39:52.483Z","updatedAt":"2026-08-31T06:39:52.483Z"},{"id":"doi:10.17287/kbr.2026.30.2.41","name":"Value Formation and User Acceptance of Urban Air Mobility Services","source":"crossref","abstract":"","url":"https://doi.org/10.17287/kbr.2026.30.2.41","authors":["Hyeon Jo","Dong-Hoon Shin","Minkyeong Jeong","Jinyoung Jang","Jihun Choi","Jae Kwang Lee"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-06-01T06:21:01Z","doi":"10.17287/kbr.2026.30.2.41","addedAt":"2026-08-31T06:39:52.483Z","updatedAt":"2026-08-31T06:39:57.841Z"},{"id":"doi:10.1093/9780197825099.003.0002","name":"Social mobility comes to town","source":"crossref","abstract":"Abstract This chapter explores how marginalized neighbourhoods have become key sites where the politics of social mobility unfold. This chapter focuses on three essential modes: mixing, activating, and educating. Looking ‘up’, it builds upon an extensive collection of social mobility policy documents and secondary literature in different contexts in western Europe and the United States. By tracing the broader implications of a number of social mobility policies, it shows how they often obscure and reinforce deeper structures of power and domination. Promoting social mobility in so-called deprived neighbourhoods is neither neutral nor inherently positive—it directs social justice in specific ways and, at worst, serves to justify urban interventions that bring harmful consequences.","url":"https://doi.org/10.1093/9780197825099.003.0002","authors":["Anthony Miro Born"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-06-22T17:56:25Z","doi":"10.1093/9780197825099.003.0002","addedAt":"2026-08-31T06:39:52.483Z","updatedAt":"2026-08-31T06:39:52.483Z"},{"id":"doi:10.1016/j.jairtraman.2025.102950","name":"Shifting skies: A cross-country investigation of evolution of public perception toward urban air mobility through Twitter (X) discourse","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.jairtraman.2025.102950","authors":["Eeshan Bhaduri","Charisma F. Choudhury"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-12-02T08:04:34Z","doi":"10.1016/j.jairtraman.2025.102950","addedAt":"2026-08-31T06:39:52.483Z","updatedAt":"2026-08-31T06:39:52.483Z"},{"id":"doi:10.1201/9781003546306","name":"Resilient Safety in Advanced Air Mobility","source":"crossref","abstract":"","url":"https://doi.org/10.1201/9781003546306","authors":["Manolis Karachalios"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-04-21T18:39:17Z","doi":"10.1201/9781003546306","addedAt":"2026-08-31T06:39:52.483Z","updatedAt":"2026-08-31T06:39:52.483Z"},{"id":"doi:10.1177/00420980251403399","name":"Mobility freedoms: Conceptions of freedom in contestations over urban transport","source":"crossref","abstract":"The link between urban transport and freedom has long been recognised in academic literature and is drawing renewed attention in controversies over initiatives to reduce car use within urban areas and flying between cities. This paper analyses how multiple conceptualisations of freedom from across the humanities and social sciences are, and can be, implicated in public contestations over urban transport. It suggests that individualised notions of freedom are commonly invoked by adversaries of car- and flight-curbing initiatives, a dominance that reflects prevailing histories of systems of automobility and aeromobility across the Global North. It also proposes that those initiatives can be understood as applications of Mill’s harm principle by the (local) state seeking to reconfigure the co-evolution of mobility freedoms and unfreedoms. Yet, the harm principle is ultimately inadequate as legitimation for interventions in urban transport on a climate-constrained planet given its grounding in individualised freedoms. The paper therefore elaborates a collective, dynamic and non-sovereign conceptualisation of mobility freedoms as a framework for changes to urban mobility systems from above and below. The paper concludes that harnessing freedom’s descriptive and performative capabilities can enrich analysis of urban mobility contestations and facilitate practical action to transform urban mobilities at times of climate emergency.","url":"https://doi.org/10.1177/00420980251403399","authors":["Tim Schwanen","Debbie Hopkins","Ian Loader"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-01-14T01:57:00Z","doi":"10.1177/00420980251403399","addedAt":"2026-08-31T06:39:52.483Z","updatedAt":"2026-08-31T06:39:52.483Z"},{"id":"doi:10.1109/sm69703.2026.11614116","name":"Natural Language-Driven Agent Framework for Urban Mobility Simulation and Policy Evaluation","source":"crossref","abstract":"","url":"https://doi.org/10.1109/sm69703.2026.11614116","authors":["Eunjoo Jung","Sukhjit Singh Sehra","Jiho Yeo"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-07-24T19:07:30Z","doi":"10.1109/sm69703.2026.11614116","addedAt":"2026-08-31T06:39:52.483Z","updatedAt":"2026-08-31T06:39:52.483Z"},{"id":"doi:10.1155/ijae/7914048","name":"Unresolved Challenges of Fuel Cell Propulsion Systems in Urban Air Mobility: An MBSE‐Based Systematic Literature Review","source":"crossref","abstract":"The purpose of this paper is to investigate the unresolved challenges in fuel cell propulsion system integration in small‐category VTOL‐capable aircraft, addressing a critical gap in the existing literature by elaborating an MBSE‐based systematic literature review with the PRISMA content analysis strategy. The methodology reviewed 122 papers in peer‐reviewed journals published from 2000 to 2024 and included keyword research in four relevant publication platforms before analyzing the papers in a deductive MBSE V‐model strategy combined with an inductive, data‐driven research analysis. The results reveal a significant misalignment between identified barriers and proposed future research, indicating that current R&amp;D efforts are not addressing the most pressing integration challenges. The findings provide evidence that patterns of research fragmentation and life‐cycle disconnect have emerged, offering significant implications for future research in the field.","url":"https://doi.org/10.1155/ijae/7914048","authors":["Johannes Bachler","Stephen J. Wright","Kari T. Koskinen"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-07-18T10:14:25Z","doi":"10.1155/ijae/7914048","addedAt":"2026-08-31T06:39:52.483Z","updatedAt":"2026-08-31T06:39:52.483Z"},{"id":"doi:10.1016/j.cstp.2026.101922","name":"Effects of competition between urban air mobility and ride-hailing: A case study of Yangtze River Delta urban agglomeration","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.cstp.2026.101922","authors":["Han Wang","Ting-Ting Miao","Fu-Lin Wang","Wei-Hong Li","Hai-Hong Xu"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-07-31T23:14:11Z","doi":"10.1016/j.cstp.2026.101922","addedAt":"2026-08-31T06:39:52.483Z","updatedAt":"2026-08-31T06:39:52.483Z"},{"id":"doi:10.55845/jos-2026-21103","name":"Advancing the Sustainable Urban Air Mobility Indicators (SUAMI) Framework: Integrating Non-Core Indicators and Proposing New Metrics for UAM","source":"crossref","abstract":"The integration of Urban Air Mobility (UAM) into urban transportation systems represents a significant step towards sustainable and innovative mobility solutions. Building upon the Sustainable Urban Air Mobility Indicators (SUAMI) framework introduced previously, this study extends the framework by analysing and integrating non-core indicators from the Sustainable Urban Mobility Indicators (SUMI). Each indicator’s relevance and applicability to UAM are systematically evaluated, and necessary adaptations are proposed. Furthermore, this paper identifies critical gaps in the existing framework and introduces new indicators tailored to address the unique characteristics and challenges of UAM. These include environmental, operational, societal, and infrastructure-specific metrics essential for the practical assessment and successful implementation of UAM in smart cities. By refining and expanding the SUAMI framework, this work provides municipalities and policymakers with a comprehensive tool to evaluate and guide UAM integration, supporting sustainability, safety, and efficiency objectives.","url":"https://doi.org/10.55845/jos-2026-21103","authors":["Anna Palaiologk","Kyriaki Daskaloudi","Eleftheria Georganti"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-04-26T10:01:41Z","doi":"10.55845/jos-2026-21103","addedAt":"2026-08-31T06:39:52.483Z","updatedAt":"2026-08-31T06:39:52.483Z"},{"id":"doi:10.37199/c41001021","name":"SMART MOBILITY TECHNOLOGIES AND THEIR IMPACT ON URBAN SUSTAINABILITY: INSIGHTS FROM EUROPEAN AND WESTERN BALKAN CITIES","source":"crossref","abstract":"","url":"https://doi.org/10.37199/c41001021","authors":["Alma GJONAJ","Vjola ZIU"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-05-15T08:40:31Z","doi":"10.37199/c41001021","addedAt":"2026-08-31T06:39:52.484Z","updatedAt":"2026-08-31T06:39:52.484Z"},{"id":"doi:10.1016/j.urbmob.2026.100233","name":"Exploring the links between values, attitudes and mode choice in the context of Munich, Germany","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.urbmob.2026.100233","authors":["Yihan Xu","Sana Jaafar","David Duran-Rodas"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-05-23T17:46:20Z","doi":"10.1016/j.urbmob.2026.100233","addedAt":"2026-08-31T06:39:52.484Z","updatedAt":"2026-08-31T06:39:52.484Z"},{"id":"doi:10.2139/ssrn.7356539","name":"One City, One Mobility Experience: Integrating Fragmented Mobility through AI-Enabled Urban Intelligence for Los Angeles and the LA28 Legacy","source":"crossref","abstract":"Metropolitan mobility systems are becoming more technologically capable while often becoming more cognitively fragmented from the traveler's perspective. Public transit, toll roads, parking, ride-hailing, autonomous mobility, rental vehicles, micromobility, and charging services are increasingly digitized, yet their data, rules, accounts, payments, and operating responsibilities remain distributed across public agencies and private providers. Conventional Mobility as a Service (MaaS) has advanced multimodal planning, booking, and payment, but it does not fully resolve a recurring problem in institutionally fragmented metropolitan regions: travelers must still interpret heterogeneous rules, assess compliance risk, compare incomplete cost structures, and adapt to disruptions across systems.&amp;nbsp; &lt;div&gt; &lt;br&gt; &lt;/div&gt; &lt;div&gt; This study investigates how a fragmented metropolitan mobility ecosystem can be transformed into an integrated, AI-enabled traveler experience without consolidating the institutions that provide mobility services. Using a conceptual reference-architecture and design-synthesis method, it derives the Los Angeles Integrated Smart Mobility Architecture (LA-ISMA), an AI-enabled, platform-agnostic architecture organized around a simple principle: do not unify institutions; unify the traveler experience. The analysis combines a structured review of MaaS and agentic-AI literature with U.S. and California transportation architecture and policy documents, Southern California mobility data, an international traveler-facing benchmark, and observations from the 2026 FIFA World Cup as a real-world mega-event stress test. The resulting architecture extends the conventional MaaS journey by formalizing three functions-UNDERSTAND, COMPLY, and ADAPT-alongside PLAN, COMPARE, BOOK &amp;amp; PAY, and NAVIGATE, and links these functions to interoperable data and rules, deterministic mobility engines, service orchestration, and an AI mobility agent.&amp;nbsp; &lt;/div&gt; &lt;div&gt; &lt;br&gt; &lt;/div&gt; &lt;div&gt; The synthesis indicates that Los Angeles already possesses many of the technical and institutional building blocks required for integration, including ARC-IT, Cal-ITP, standardized transit feeds, digital curb initiatives, regional transportation data, and major LA28 mobility investments. The unresolved gap is a coherent intelligence and interaction layer capable of translating distributed systems into an actionable end-to-end journey. The 2026 World Cup provides empirical motivation by showing both the capacity of coordinated event mobility and the continuing dependence on event-specific staffing and fragmented local rules; it is not treated as causal validation of LA-ISMA. LA28 therefore creates an opportunity to test whether temporary event coordination can be codified into persistent, interoperable urban intelligence that remains useful to residents, visitors, and future major events. &lt;/div&gt;","url":"https://doi.org/10.2139/ssrn.7356539","authors":["Junyan Gao"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-08-27T17:24:55Z","doi":"10.2139/ssrn.7356539","addedAt":"2026-08-31T06:39:52.484Z","updatedAt":"2026-08-31T06:39:52.484Z"},{"id":"doi:10.1016/j.urbmob.2026.100266","name":"Multilevel structural equation modelling of walkability in a motorcycle-dominated city: A case study of Da Nang, Vietnam","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.urbmob.2026.100266","authors":["Nguyet-Phuong Ta","Richa Maheshwari","Son-Tung Nguyen","Mario Cools"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-08-07T15:14:20Z","doi":"10.1016/j.urbmob.2026.100266","addedAt":"2026-08-31T06:39:52.484Z","updatedAt":"2026-08-31T06:39:52.484Z"},{"id":"doi:10.1016/j.urbmob.2026.100252","name":"Transport disadvantage and accessibility gaps: Addressing equity in Porto’s metropolitan public transport system","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.urbmob.2026.100252","authors":["Mudassar Shafiq","João Filipe Teixeira","António Couto"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-06-29T08:38:27Z","doi":"10.1016/j.urbmob.2026.100252","addedAt":"2026-08-31T06:39:52.484Z","updatedAt":"2026-08-31T06:39:52.484Z"},{"id":"doi:10.1016/j.urbmob.2026.100195","name":"Applying data science to analyze internal trip capture for station area neighborhoods","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.urbmob.2026.100195","authors":["Louis A. Merlin","Mary A. Asumang","Wen Zhang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-02-18T19:58:50Z","doi":"10.1016/j.urbmob.2026.100195","addedAt":"2026-08-31T06:39:52.484Z","updatedAt":"2026-08-31T06:39:52.484Z"},{"id":"doi:10.1016/j.urbmob.2026.100258","name":"Perceived bikeability: A synthesis of evidence and a needs-based assessment framework","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.urbmob.2026.100258","authors":["Ivana Paulusová","Fariya Sharmeen"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-08-14T21:21:27Z","doi":"10.1016/j.urbmob.2026.100258","addedAt":"2026-08-31T06:39:52.484Z","updatedAt":"2026-08-31T06:39:52.484Z"},{"id":"doi:10.1016/j.urbmob.2025.100173","name":"Insights into Ridepooling efficiency: A case study analysis using a novel operational performance measure framework","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.urbmob.2025.100173","authors":["Martin Lehnert","Christian Liebchen","Martin Schiefelbusch","Peter Bruder","Dennis Harmann"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-12-06T06:36:28Z","doi":"10.1016/j.urbmob.2025.100173","addedAt":"2026-08-31T06:39:52.484Z","updatedAt":"2026-08-31T06:39:52.484Z"},{"id":"doi:10.1016/j.urbmob.2026.100228","name":"A two-stage sequential intention model for autonomous vehicle adoption: Formation and updating of purchase and sharing intentions","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.urbmob.2026.100228","authors":["Qing Li","Xiaoxin Wu","Yuting Liu","Feixiong Liao"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-05-15T09:20:06Z","doi":"10.1016/j.urbmob.2026.100228","addedAt":"2026-08-31T06:39:52.484Z","updatedAt":"2026-08-31T06:39:52.484Z"},{"id":"doi:10.1016/j.urbmob.2026.100268","name":"H3 hexagonal grids versus road segments: Spatial aggregation and built environment effects on cycling speed","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.urbmob.2026.100268","authors":["Helen Tera","Amnir Hadachi","Mozhgan PourmoradNasseri"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-08-27T17:33:30Z","doi":"10.1016/j.urbmob.2026.100268","addedAt":"2026-08-31T06:39:52.484Z","updatedAt":"2026-08-31T06:39:52.484Z"},{"id":"doi:10.4324/9781003747895","name":"Gender-Inclusive Urban Mobility","source":"crossref","abstract":"","url":"https://doi.org/10.4324/9781003747895","authors":["Juliet Eileen Joseph"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-07-01T09:07:52Z","doi":"10.4324/9781003747895","addedAt":"2026-08-31T06:39:52.484Z","updatedAt":"2026-08-31T06:39:52.484Z"},{"id":"doi:10.4324/9781003734017-5","name":"Governing Movement","source":"crossref","abstract":"","url":"https://doi.org/10.4324/9781003734017-5","authors":["Thomas Betschart"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-07-30T16:45:45Z","doi":"10.4324/9781003734017-5","addedAt":"2026-08-31T06:39:52.484Z","updatedAt":"2026-08-31T06:39:52.484Z"},{"id":"doi:10.1016/j.urbmob.2026.100197","name":"Can spatial indicators fully explain car dependence? Evidence from Lombardy (Italy)","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.urbmob.2026.100197","authors":["Jaime Sierra Muñoz","Louison Duboz","Biagio Ciuffo","Paola Pucci"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-02-12T06:51:32Z","doi":"10.1016/j.urbmob.2026.100197","addedAt":"2026-08-31T06:39:52.484Z","updatedAt":"2026-08-31T06:39:52.484Z"},{"id":"doi:10.1016/j.urbmob.2026.100259","name":"Who is the X-minute city for? An E2SFCA assessment of wheelchair accessibility in Zurich City Center","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.urbmob.2026.100259","authors":["Chiara Ballinari","Alexandra-Ioana Georgescu","Hoda Allahbakhshi"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-07-18T12:09:43Z","doi":"10.1016/j.urbmob.2026.100259","addedAt":"2026-08-31T06:39:52.484Z","updatedAt":"2026-08-31T06:39:52.484Z"},{"id":"doi:10.1016/j.cities.2026.106908","name":"Rethinking urban mobility: A latent class analysis of Mobility-as-a-Service (MaaS) adoption tendencies","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.cities.2026.106908","authors":["Eugene Sogbe","Susilawati Susilawati","Graham Currie"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-02-18T08:47:51Z","doi":"10.1016/j.cities.2026.106908","addedAt":"2026-08-31T06:39:52.484Z","updatedAt":"2026-08-31T06:39:52.484Z"},{"id":"doi:10.1016/j.urbmob.2026.100214","name":"More safe, Less pleasant? Effects of intelligent e-bike motor control on riding dynamics and cycling experiences","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.urbmob.2026.100214","authors":["M.R. Boot","M.B. Ulak","A.R. Pallamreddy","K.T. Geurs"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-04-07T18:07:43Z","doi":"10.1016/j.urbmob.2026.100214","addedAt":"2026-08-31T06:39:52.484Z","updatedAt":"2026-08-31T06:39:52.484Z"},{"id":"doi:10.2514/6.2026-4512","name":"Communication Channel Allocation for Advanced Air Mobility","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2026-4512","authors":["Sang Jun Ahn","Ella M. Atkins"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-06-04T17:45:42Z","doi":"10.2514/6.2026-4512","addedAt":"2026-08-31T06:39:52.484Z","updatedAt":"2026-08-31T06:39:52.484Z"},{"id":"doi:10.1016/j.cities.2026.107435","name":"Smartwashing mobility: Governing smart mobility through urban imaginaries","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.cities.2026.107435","authors":["Morten Ryen Loe","Subina Shrestha","Sophie-Marie Ertelt"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-07-24T01:11:07Z","doi":"10.1016/j.cities.2026.107435","addedAt":"2026-08-31T06:39:52.484Z","updatedAt":"2026-08-31T06:39:52.484Z"},{"id":"doi:10.1002/9781394359325.ch07","name":"The Environmental Operating Context of AAM","source":"crossref","abstract":"","url":"https://doi.org/10.1002/9781394359325.ch07","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-08-19T13:30:21Z","doi":"10.1002/9781394359325.ch07","addedAt":"2026-08-31T06:39:52.484Z","updatedAt":"2026-08-31T06:39:52.484Z"},{"id":"doi:10.3390/su18104904","name":"Towards Sustainable Urban Mobility: An ESG-Based Decision Framework for Urban Air Integration","source":"crossref","abstract":"Urban Air Mobility (UAM) has emerged as a promising solution to alleviate urban congestion and support low-carbon transportation by utilizing low-altitude airspace. However, its large-scale deployment requires governance mechanisms that simultaneously address environmental impacts, social acceptance, and institutional coordination. Existing studies have not yet provided an operational Environmental, Social, and Governance (ESG)-based decision framework for UAM governance. This study develops and empirically validates an ESG-oriented governance model for UAM integration into urban development. A mixed-method approach was adopted, including literature and policy analysis to identify 22 execution-level factors, a questionnaire survey of industry practitioners and experts (N = 307), and the Analytic Hierarchy Process (AHP) combined with expert consultation to determine priority weights. The results show that the Governance dimension has the highest importance (38.72%), followed by Social (32.15%) and Environmental (29.13%). Laws and regulations, standard certification, and digital management constitute the core institutional foundations for UAM deployment. Privacy protection and social acceptance are the dominant social concerns, while noise pollution represents the most critical environmental constraint. Across all dimensions, standard certification, privacy, noise control, management framework, and digital management are the highest-weighted factors. The proposed framework provides a practical ESG-based decision tool to support policy prioritization and sustainable UAM implementation in rapidly urbanizing regions.","url":"https://doi.org/10.3390/su18104904","authors":["Ziying Wen","Wansong Liu","Caimiao Zheng","Jian Li Hao"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-05-15T10:33:21Z","doi":"10.3390/su18104904","addedAt":"2026-08-31T06:39:52.484Z","updatedAt":"2026-08-31T06:39:52.484Z"},{"id":"doi:10.4018/979-8-2600-0587-3.ch005","name":"Next-Gen Multimodal Integration for Sustainable and Resilient Cities","source":"crossref","abstract":"The chapter discusses Urban Mobility 5.0 as an emerging paradigm that furthers the notion of multimodal transportation systems and utilises advanced technologies to increase the urban sustainability, resilience, and inclusivity. It explores the theoretical underpinnings, the enabling technologies, governance systems and international best practice that is powering urban mobility of the future. The chapter reports on critical issues in institutional innovation, policy reform, and citizen-focused design by analysing its details. Digital inequities, data governance, and operational limitations serve as such issues. It also displays a vision into the future of Urban Mobility 6.0, focusing on the importance of hyper-personalization, ethical automation, and climate-responsive infrastructure. Based on these findings, strategic recommendations have been generated to direct cities on how to develop holistic, equitable, and intelligent mobility ecosystems.","url":"https://doi.org/10.4018/979-8-2600-0587-3.ch005","authors":["Sitesh Kumar Singh","Jaishri Gothania","Khuloud Nasser Al Balushi"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-03-19T18:35:04Z","doi":"10.4018/979-8-2600-0587-3.ch005","addedAt":"2026-08-31T06:39:52.484Z","updatedAt":"2026-08-31T06:39:52.484Z"},{"id":"doi:10.1201/9781003746607-9","name":"Conclusion","source":"crossref","abstract":"","url":"https://doi.org/10.1201/9781003746607-9","authors":["Lee Nguyen","Melinda Marion"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-05-21T09:32:09Z","doi":"10.1201/9781003746607-9","addedAt":"2026-08-31T06:39:52.484Z","updatedAt":"2026-08-31T06:39:52.484Z"},{"id":"doi:10.1007/978-3-032-04312-2_26","name":"ML-Driven Analysis of NavIC-Based Tracking for Route Optimization in Urban Air Mobility","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-032-04312-2_26","authors":["Vishvesh Paresh Modcoicar","Trupti Baraskar"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-01-02T02:31:06Z","doi":"10.1007/978-3-032-04312-2_26","addedAt":"2026-08-31T06:39:52.484Z","updatedAt":"2026-08-31T06:39:52.484Z"},{"id":"doi:10.1108/jtas-01-2025-0007","name":"Performance evaluation of a radar-on-chip system for obstacle detection strategies for urban air mobility (UAM) applications","source":"crossref","abstract":"Purpose The transition to sustainable urban air mobility (UAM) is critical for decongesting ground traffic and reducing urban CO2 emissions through the use of electric aerial vehicles. However, this sustainability potential is contingent on solving the foundational challenge of safe, autonomous operations in dense urban airspace. This paper, therefore, analyses a “radar-on-chip” millimeter-wave Frequency Modulated Continuous Wave (FMCW) radar sensor (Texas Instruments IWR1642) as a core component for a detect-and-avoid (DAA) system, evaluating its performance as a key enabler for the safe and viable implementation of sustainable UAM. Design/methodology/approach Experimental results demonstrate that the IWR1642 is both precise and reliable in tracking moving objects, whether their motion is radial or transverse. Data processing was performed using the mmWave Demo Visualizer software, which utilizes the radar's basic detection algorithm. Using Geographical Positioning System (GPS) positions as reference, the radar's tracking of moving targets was found to be highly consistent, with only minor percentage errors during the data acquisition process. The radar was successively mounted onboard an unmanned aerial vehicle (UAV) to simulate autonomous operations in UAM scenarios, designing and developing a dedicated structure to house the sensor. The IWR1642 radar sensor demonstrated potential suitability for use in future UAM applications, providing accurate and reliable detection capability under a variety of conditions. Findings This work outlines the studies about possible solutions, identified by authors that could support beyond line of sight (BVLOS) operations in a medium- and low-risk environment, in particular, during UAM missions. UAM is considered a potential technology for future urban and suburban transportation, for both goods and passengers. By exploiting the vertical dimension, it decongests roads that are unable to support current city traffic while reducing CO2 emissions into the atmosphere, thereby moving toward a more eco-sustainable (through the use of exclusively electric vehicles) and multimodal transport system, in line with the concept of smart cities. This manuscript focuses on the operational limitations of the radar-on-chip system, as opposed to its functional constraints, emphasizing both the characterization phase and its performance during operational applications, such as in-flight testing. Based on the obtained results, the authors believe that the highlighted operational limitations could be mitigated by integrating additional sensors, such as light detection and ranging, to complement the radar-on-chip system. Originality/value This work represents a preliminary step toward the development of a robust obstacle detection system to be integrated onboard UAVs for UAM operations. UAS predominantly operate at very low altitudes (VLL, &amp;lt;500 feet), where the density of obstacles and human activity is significantly higher. Many of these aircraft function autonomously or in self-flying modes, necessitating rigorous safety measures to ensure mission reliability and operational safety. In this context, the ability to accurately perceive the surrounding environment is critical for UAM missions, particularly during BVLOS operations or fully autonomous missions. This study aims to develop a reliable obstacle detection system utilizing low-cost technologies.","url":"https://doi.org/10.1108/jtas-01-2025-0007","authors":["Aniello Menichino","Michele Inverno","Giuseppe Del Core","Vittorio Di Vito","Salvatore Ponte","Gennaro Ariante","Federica Abategiovanni"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-02-04T05:53:54Z","doi":"10.1108/jtas-01-2025-0007","addedAt":"2026-08-31T06:39:52.484Z","updatedAt":"2026-08-31T06:39:52.484Z"},{"id":"doi:10.1007/s42524-026-5134-2","name":"Planning, operations, and management for urban air mobility: A comprehensive review and future research directions","source":"crossref","abstract":"Abstract Driven by rapid advancements in electric vertical take-off and landing (eVTOL) technology, urban air mobility (UAM) has attracted unprecedented attention worldwide, with governments, industries, and researchers exploring its potential to revolutionize urban transportation. In this paper, we conduct a comprehensive review of key research problems in UAM to establish a foundational knowledge framework and provide insights for researchers, policymakers, and industry stakeholders. Specifically, we examine UAM-related studies and reports from the perspectives of planning, operations, and management, including topics such as infrastructure development, airspace management, and service optimization. Additionally, the potential societal impact and public acceptance of UAM are explored to provide a balanced view of opportunities and challenges in this emerging field. The application of UAM in several representative scenarios is also analyzed to examine the operational feasibility of integrating this new mobility solution into modern urban transportation networks. Based on our review findings, we identify a series of challenges and open questions that need to be adequately addressed for future UAM commercialization. Finally, the paper concludes with a discussion of potential research directions aimed at designing a more reliable and scalable UAM network.","url":"https://doi.org/10.1007/s42524-026-5134-2","authors":["Zhonghao Zhao","Kai Wang","Xiqun Michael Chen","Ximing Chang","Guo Li","Jianjun Wu","Lu Zhen"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-04-01T07:44:19Z","doi":"10.1007/s42524-026-5134-2","addedAt":"2026-08-31T06:39:52.484Z","updatedAt":"2026-08-31T06:39:57.284Z"},{"id":"doi:10.58940/2329-258x.2208","name":"Impact of In-Cabin Human Machine Interface Designs on Passenger Trust in Urban Air Mobility","source":"crossref","abstract":"Urban Air Mobility (UAM) presents a promising solution for alleviating urban traffic congestion and enhancing transportation efficiency. However, the widespread acceptance of UAM, particularly sustained ridership of autonomous passenger air vehicles (PAVs), is contingent upon addressing critical human factors for building passenger trust, especially in the absence of a human pilot. This paper evaluates how different in-cabin human-machine interface (HMI) designs affect passenger trust in the aircraft and in-cabin display, situation awareness, and pilot preferences. Forty participants, equally split between early and late technology adopters, completed two simulated flights: a baseline flight with no HMI and a second flight featuring one of four HMI types: information, audio, video with a professionally dressed remote pilot, or video with a casually dressed remote pilot. Results show that participants exposed to the professionally dressed remote operator report significantly higher trust in the aircraft, trust in the HMI, and demonstrate higher situation awareness, while trust and situation awareness were not significantly influenced by technology adopter profile. Participants also preferred the presence of an audible or visible remote operator, particularly among late adopters. These findings suggest that human-centered HMI designs, especially those that include visual cues of professionalism, can meaningfully improve passenger trust in autonomous air taxis. As the UAM industry advances toward public deployment, incorporating such HMI features may be critical in overcoming trust barriers and enabling broad consumer acceptance.","url":"https://doi.org/10.58940/2329-258x.2208","authors":["Ricole A Johnson","Erika E Gallegos"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-08-21T19:42:08Z","doi":"10.58940/2329-258x.2208","addedAt":"2026-08-31T06:39:52.484Z","updatedAt":"2026-08-31T06:39:52.484Z"},{"id":"doi:10.1109/access.2026.3725460","name":"5G deployment and positioning analysis for Urban Air Mobility vertiport operations","source":"crossref","abstract":"","url":"https://doi.org/10.1109/access.2026.3725460","authors":["Neusa M. F. Oliveira","Roberto D'Amore"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-08-20T19:05:13Z","doi":"10.1109/access.2026.3725460","addedAt":"2026-08-31T06:39:52.484Z","updatedAt":"2026-08-31T06:39:52.484Z"},{"id":"doi:10.1007/s42405-026-01258-9","name":"AI-Based Pilot Assistance System for Emergency Trajectory Replanning in Urban Air Mobility","source":"crossref","abstract":"","url":"https://doi.org/10.1007/s42405-026-01258-9","authors":["Jisoo Yu","Keeyoung Choi"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-08-10T06:31:44Z","doi":"10.1007/s42405-026-01258-9","addedAt":"2026-08-31T06:39:52.484Z","updatedAt":"2026-08-31T06:39:52.484Z"},{"id":"doi:10.1049/icp.2026.1280","name":"Enhanced long-range radar detection of aircraft wake vortices using Doppler signal-to-clutter ratio (DSCR) for urban air mobility (UAM) safety","source":"crossref","abstract":"","url":"https://doi.org/10.1049/icp.2026.1280","authors":["Jiangkun Gong","Zhengjia Xu","Jun Yan","Deren Li"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-07-09T13:42:16Z","doi":"10.1049/icp.2026.1280","addedAt":"2026-08-31T06:39:52.484Z","updatedAt":"2026-08-31T06:39:52.484Z"},{"id":"doi:10.1063/5.0311473","name":"Aerodynamic and aeroacoustic interactions in multirotor aircraft for urban air mobility: A review","source":"crossref","abstract":"The rapid growth of urbanization and increasing road traffic congestion are straining ground transportation infrastructure for both conventional and emergency purposes, driving the need for alternative mobility solutions. urban air mobility (UAM) offers a promising pathway by deploying electric vertical takeoff and landing (eVTOL) aircraft to enable efficient and flexible aerial transport in dense urban environments. However, the successful integration of UAM into city airspace faces critical technical challenges, both at the vehicle and operational levels. In particular, complex aerodynamic and aeroacoustic interactions between closely spaced propellers significantly influence vehicle performance, energy efficiency, and public acceptance. This work presents a review of experimental and computational studies on propeller–propeller and propeller–wing interactions, highlighting the state-of-the-art methodologies and their application to multirotor eVTOL designs. Results indicate that distributed electric propulsion systems arranged in side-by-side configurations exhibit minimal thrust degradation, typically less than 3% compared to an isolated propeller. However, reductions in propeller spacing can induce unsteady blade loading and increase tonal noise levels by up to 10 dB. In contrast, one-after-another configurations may suffer thrust losses of up to 80%, due to slipstream ingestion by the rear propeller, with a lateral separation of at least twice the propeller radius required to recover performance within 4% of the isolated case. The review also addresses propeller–wing interactions that modify local pressure distributions and spanwise lift, particularly in wing-mounted distributed propulsion configurations. The insights provided establish a foundation for developing efficient, low-noise multirotor architectures for future UAM integration.","url":"https://doi.org/10.1063/5.0311473","authors":["Kangni Combey","Omer A. Elsayed","Andrea Magrini","Federico N. Ramirez","Sen Wang","Khaoula Qaissi","Hajar Chouiyakh","Lourenço T. L. Pereira","Daniele Ragni"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-01-14T14:29:14Z","doi":"10.1063/5.0311473","addedAt":"2026-08-31T06:39:52.484Z","updatedAt":"2026-08-31T06:39:52.484Z"},{"id":"doi:10.1016/bs.atpp.2025.11.001","name":"Urban air mobility: A state-of-the-art review of end-user acceptance","source":"crossref","abstract":"","url":"https://doi.org/10.1016/bs.atpp.2025.11.001","authors":["Mohammad Amin Afshari Moez","Mahdi Samadzad"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-02-12T12:52:00Z","doi":"10.1016/bs.atpp.2025.11.001","addedAt":"2026-08-31T06:39:52.484Z","updatedAt":"2026-08-31T06:39:52.484Z"},{"id":"doi:10.12985/ksaa.2026.34.1.110","name":"A Study on the Integrated Acceptance of Users perceiving the\n                    Development of UAM (Urban Air Mobility) Vertiport","source":"crossref","abstract":"","url":"https://doi.org/10.12985/ksaa.2026.34.1.110","authors":["Jihun Choi"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-04-22T06:35:53Z","doi":"10.12985/ksaa.2026.34.1.110","addedAt":"2026-08-31T06:39:52.484Z","updatedAt":"2026-08-31T06:39:52.484Z"},{"id":"doi:10.4018/979-8-3373-4277-1.ch005","name":"Urban Air Mobility","source":"crossref","abstract":"Urban air mobility (UAM) vehicles have the significant potential to transform urban transportation in many countries by allowing unrestricted movement within city airspace. However, implementing them presents numerous challenges, including the need for adequate infrastructure, navigating regulatory frameworks, reducing noise pollution, ensuring safety and reliability, addressing public perception and acceptance, promoting energy efficiency and sustainability, integrating with existing transportation systems, managing costs and affordability, and assessing environmental impact. Additionally, the advancement in Urban Air Mobility requires contributions from multiple engineering fields, such as aerospace engineering, electrical and electronic engineering, and IoT/AI. This chapter provides an overview of the key factors in implementing UAM, following a brief introduction. The chapter mainly focuses on the current developments reported in recent articles published between 2016 and January 2024.","url":"https://doi.org/10.4018/979-8-3373-4277-1.ch005","authors":["M. Rudresh","S. Sudhagara Rajan","Prathik S. Jain","B. K. Manisha Kotari","N. Inchara","Megha Sridhar","G. D. Pragna"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-01-15T17:14:35Z","doi":"10.4018/979-8-3373-4277-1.ch005","addedAt":"2026-08-31T06:39:52.484Z","updatedAt":"2026-08-31T06:39:52.484Z"},{"id":"doi:10.1504/ijsa.2026.10077311","name":"Socioeconomic stratification of urban air mobility based on income and transport demand: a case study of New York City","source":"crossref","abstract":"","url":"https://doi.org/10.1504/ijsa.2026.10077311","authors":["Bárbara Adriany Freitas Junqueira","Anderson Ribeiro Correia","Evandro José Da Silva","Mauro Caetano"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-03-28T14:00:17Z","doi":"10.1504/ijsa.2026.10077311","addedAt":"2026-08-31T06:39:52.484Z","updatedAt":"2026-08-31T06:39:52.484Z"},{"id":"doi:10.2139/ssrn.6240121","name":"Data-Driven Framework for Urban Air Mobility Planning: Integrating Socioeconomic and Operational Factors for Optimal Network Design in the Sao Paulo Metropolitan Region","source":"crossref","abstract":"Urban Air Mobility (UAM) has been positioned as a promising alternative for large metropolitan regions, using electric vertical take-off and landing (eVTOL) aircraft connected in vertiport networks, with potential benefits in travel time, emissions, and noise compared with traditional transport modes. However, the early design of these networks depends on the strategic location of the vertiports in areas with a high pay ability, integration with the existing aeronautical infrastructure, and compatibility with operational concepts developed by air navigation service providers, which recommend using helicopter routes and already certified infrastructure in the initial phases. This study proposes an income-based spatial demand analysis model for the location of UAM vertiports in the São Paulo Metropolitan Region (RMSP), using as reference the population, trip, and income data from the 2023 Origin-Destination (OD) Survey of the São Paulo Metro, the distribution of helipads registered by the Brazilian National Civil Aviation Agency (ANAC) and the network of Helicopter Special Routes (REH) connected to the urban airport system provided by the Aeronautical Information Service Web (AISWEB). Methodologically, the helipads are grouped using clustering algorithms based on income, and the medoids of the clusters are selected as candidate vertiports. The graph composed of REH waypoints and these candidate vertiports, along with the main airports of the RMSP, is then used to compute the shortest paths using an adapted Dijkstra’s algorithm. Finally, we propose a comprehensive step-by-step procedure to estimate the initial origin-destination demand for UAM. The results suggest that combining income patterns, reuse of the existing helipad infrastructure in the RMSP, and route modeling over the REH network can support an initial phase of UAM focused on maximizing market viability and demand satisfaction, in line with operational guidelines from DECEA, FAA, and Eurocontrol.","url":"https://doi.org/10.2139/ssrn.6240121","authors":["Lucas  Orbolato Carvalho","Igor Gomes","Jaqueline Rodrigues","Mayara  Condé Rocha Murça","Marcelo  Xavier Guterres","Daniel Pamplona"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-02-14T23:44:43Z","doi":"10.2139/ssrn.6240121","addedAt":"2026-08-31T06:39:52.484Z","updatedAt":"2026-08-31T06:39:52.484Z"},{"id":"doi:10.1177/00420980261420654","name":"Slowing down: Degrowth and the limits to urban mobility","source":"crossref","abstract":"Cities worldwide face immense challenges in transitioning to a sustainable future. While being structurally and politically bound to continuous growth, the striving for a constant increase in production and consumption puts enormous pressure on our planet and its ecosystems. Degrowth has been proposed as a pathway to solving this dilemma. Although scholarly attention to urban degrowth has expanded, a central aspect of cities remains partly unexplored: mobility. Urban mobility, being motorized and dependent on fossil fuels, has a substantial environmental and social impact, making it a central issue for sustainability. Within mobility research, urban sustainability has primarily been addressed by problematizing automobility and discussing how to replace the car as the dominant mode of transport. However, the relationship between mobility and growth extends beyond cars and needs to be addressed more generally. This article develops and expands the conversation between the degrowth and sustainable mobility literatures through a theoretical exploration of the concept of “limits.” It proposes a relational conceptualization of limits, providing an analysis of this concept in relation to key vectors of urban mobility: space, speed, and the body. Our study suggests not only that limits should be conceptualized along these vectors but also that these specific limits could be used to tease out what sustainable urban mobility might mean in practice.","url":"https://doi.org/10.1177/00420980261420654","authors":["Elias Isaksson","Alexander Paulsson"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-03-11T18:28:37Z","doi":"10.1177/00420980261420654","addedAt":"2026-08-31T06:39:52.484Z","updatedAt":"2026-08-31T06:39:52.484Z"},{"id":"doi:10.1016/j.urbmob.2025.100176","name":"Assessing the importance of travel habit and the built environment in shaping elderly’s mobility patterns: A case study in the Netherlands","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.urbmob.2025.100176","authors":["Chao Chen","Mengru Shao","Xiaoning Gu","Tao Feng"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-12-17T06:43:16Z","doi":"10.1016/j.urbmob.2025.100176","addedAt":"2026-08-31T06:39:52.484Z","updatedAt":"2026-08-31T06:39:52.484Z"},{"id":"doi:10.2514/6.2026-2367","name":"Multi-Aircraft Energy-Optimal Route Planning for Advanced Air Mobility","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2026-2367","authors":["Nathan Collins","Ella Atkins"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-02-03T07:51:02Z","doi":"10.2514/6.2026-2367","addedAt":"2026-08-31T06:39:52.484Z","updatedAt":"2026-08-31T06:39:52.484Z"},{"id":"doi:10.1016/j.urbmob.2026.100216","name":"Unequal paths to care: pedestrian crossing behavior and walkability in access to urban healthcare facilities located in high-injury streets","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.urbmob.2026.100216","authors":["Anat Meir","Bar Yossef Ben David","Bar Gitterman","Tal Oron-Gilad"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-04-15T21:02:51Z","doi":"10.1016/j.urbmob.2026.100216","addedAt":"2026-08-31T06:39:52.484Z","updatedAt":"2026-08-31T06:39:52.484Z"},{"id":"doi:10.1177/00420980261456062","name":"Rethinking policy learning in urban policy mobility","source":"crossref","abstract":"Since the ‘mobility turn’, urban researchers have advanced our understanding of the contentious and relational nature of cross-border policy learning. Extant research has revealed how policy ideas move through transnational networks, social interactions, and informal dialog, forming assemblages of policy learning. Despite this rich literature that centers policy learning on policy circulation, we know relatively little about how learning unfolds throughout the full trajectory of their localization as a policy process. We fill this gap by taking the policy cycle model as an analytical framework. We investigate the whole range of policy activities that shape and transform policy learning into concrete policy components through a series of interconnected, iterative stages of the policy cycle within urban policy mobility. Using the introduction of participatory budgeting in Vienna as an empirical case, we show how multiple types of learned lessons, drawn from diverse actors and sources of knowledge, become enmeshed, streamlined, and articulated into the formulation and implementation of an international best practice as a local policy. We conclude by highlighting some analytical advantages of this policy-oriented approach for researching urban policy mobility and suggest directions for future research.","url":"https://doi.org/10.1177/00420980261456062","authors":["Byeongsun Ahn","Yuri Kazepov"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-06-11T08:29:43Z","doi":"10.1177/00420980261456062","addedAt":"2026-08-31T06:39:52.484Z","updatedAt":"2026-08-31T06:39:52.484Z"},{"id":"doi:10.61310/mjst.v23is1.2592","name":"Influence of Urban Mobility Pattern on Transport-related Carbon Dioxide Emission: A Path Analysis for Sustainable Urban Mobility","source":"crossref","abstract":"Urban mobility plays a central role in ensuring the efficient movement of people and goods while supporting economic and social activities. However, rapid urban expansion and increasing travel demand have intensified transport-related carbon dioxide (CO2) emissions. This study examines how urban form and socio-economic characteristics influence transport-related CO2 emissions through residents' mobility patterns using a path analysis approach within a Structural Equation Modeling (SEM). The results show that urban form and socio-economic conditions jointly shape urban mobility. Greater distance from the central business district increases travel distance (β = 0.45, p &lt; 0.001) and indirectly increases CO2 emissions (β = 0.15, p &lt; 0.05). In contrast, higher land-use diversity indirectly reduces emissions by promoting public transport use and reducing private car dependence (β = −0.13, p &lt; 0.01), while higher building density reduces emissions by increasing jeepney use (β = −0.11, p &lt; 0.05). Car ownership exerts the strongest socio-economic influence, increasing private car use (β = 0.45, p &lt; 0.001) and indirectly increasing CO2 emissions (β = 0.21, p &lt; 0.001). Higher household income also increases emissions through greater private car and taxi use (β = 0.19, p &lt; 0.001), whereas older age indirectly increases emissions through reduced jeepney use (β = 0.13, p &lt; 0.01). These findings demonstrate that urban structure and socio-economic characteristics influence transport-related CO2 emissions primarily through travel behavior, highlighting the need for compact urban development, mixed land use, and sustainable transport policies to promote low-carbon urban mobility.","url":"https://doi.org/10.61310/mjst.v23is1.2592","authors":["Maricel C. Dalde"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-08-04T00:22:21Z","doi":"10.61310/mjst.v23is1.2592","addedAt":"2026-08-31T06:39:52.484Z","updatedAt":"2026-08-31T06:39:52.484Z"},{"id":"doi:10.1016/j.urbmob.2026.100261","name":"“It’s not the place, it’s the crowd”: an explorative study on queer mobilities and spatial practices in Brussels, Belgium","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.urbmob.2026.100261","authors":["Charlotte van Vessem","Juliana Betancur Arenas","Sara Tori","Imre Keseru"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-08-04T17:53:18Z","doi":"10.1016/j.urbmob.2026.100261","addedAt":"2026-08-31T06:39:52.484Z","updatedAt":"2026-08-31T06:39:52.484Z"},{"id":"doi:10.4018/979-8-2600-0587-3","name":"Policy, Resilience, and System Innovation in Sustainable Urban Mobility","source":"crossref","abstract":"","url":"https://doi.org/10.4018/979-8-2600-0587-3","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-03-19T18:35:04Z","doi":"10.4018/979-8-2600-0587-3","addedAt":"2026-08-31T06:39:52.484Z","updatedAt":"2026-08-31T06:39:52.484Z"},{"id":"doi:10.4324/9781003734017-4","name":"Corridors and Peripheries","source":"crossref","abstract":"","url":"https://doi.org/10.4324/9781003734017-4","authors":["Thomas Betschart"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-07-30T16:45:45Z","doi":"10.4324/9781003734017-4","addedAt":"2026-08-31T06:39:52.484Z","updatedAt":"2026-08-31T06:39:52.484Z"},{"id":"doi:10.1016/j.ugj.2026.05.005","name":"Sustainable mobility as a service ecosystem","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.ugj.2026.05.005","authors":["Maria do Carmo Rodriguez","Walter Bataglia","Fabio Rocha","Gilberto Perez"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-06-16T15:59:05Z","doi":"10.1016/j.ugj.2026.05.005","addedAt":"2026-08-31T06:39:52.484Z","updatedAt":"2026-08-31T06:39:52.484Z"},{"id":"doi:10.4324/9781003734017-2","name":"Building the Future","source":"crossref","abstract":"","url":"https://doi.org/10.4324/9781003734017-2","authors":["Thomas Betschart"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-07-30T16:45:45Z","doi":"10.4324/9781003734017-2","addedAt":"2026-08-31T06:39:52.484Z","updatedAt":"2026-08-31T06:39:52.484Z"},{"id":"doi:10.4324/9781003734017-6","name":"Inhabiting Authoritarian Infrastructure","source":"crossref","abstract":"","url":"https://doi.org/10.4324/9781003734017-6","authors":["Thomas Betschart"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-07-30T16:45:45Z","doi":"10.4324/9781003734017-6","addedAt":"2026-08-31T06:39:52.484Z","updatedAt":"2026-08-31T06:39:52.484Z"},{"id":"doi:10.1016/j.urbmob.2025.100172","name":"Data-driven insights into private EV-charger sharing: A multi-group analysis across London’s ultra-low emission zones","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.urbmob.2025.100172","authors":["Yanghui Cao","Maria Kamargianni","Yuerong Zhang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-12-03T10:27:40Z","doi":"10.1016/j.urbmob.2025.100172","addedAt":"2026-08-31T06:39:52.484Z","updatedAt":"2026-08-31T06:39:52.484Z"},{"id":"doi:10.4324/9781003734017-1","name":"Ethiopia's Infrastructural Turn","source":"crossref","abstract":"","url":"https://doi.org/10.4324/9781003734017-1","authors":["Thomas Betschart"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-07-30T16:45:45Z","doi":"10.4324/9781003734017-1","addedAt":"2026-08-31T06:39:52.484Z","updatedAt":"2026-08-31T06:39:52.484Z"},{"id":"doi:10.2139/ssrn.6340225","name":"Urban Greenery Exposure During Travel: Evidence from GPS Mobility Data","source":"crossref","abstract":"Everyday travel exposes individuals to environmental conditions that shape mobility experiences and transportation-related wellbeing. This study quantifies experienced urban tree coverage during daily travel using continuous multimodal GPS traces from 990 Boston residents linked to high-resolution tree canopy data. Moving beyond residence-based buffers and estimated routes, we measure empirically ob-served, route-level greenery exposure at trip-level resolution. Results show that tree canopy exposure differs measurably across travel modes and income levels, even for trips connecting identical origins and destinations. Mode-switch scenarios can increase average exposure and reduce income-related dispar-ities. A mixed logit model shows that travel mode and time dominate choice behavior with greenery exerting a limited influence, suggesting that experiential benefits are not fully reflected in revealed pref-erences. Finally, pedestrian routing strategies can increase exposure by up to 6.55 percentage points, with larger gains for lower-income travelers, highlighting equity-oriented opportunities that require no new infrastructure.","url":"https://doi.org/10.2139/ssrn.6340225","authors":["Nail Bashan","Qi Wang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-03-04T03:41:19Z","doi":"10.2139/ssrn.6340225","addedAt":"2026-08-31T06:39:52.484Z","updatedAt":"2026-08-31T06:39:52.484Z"},{"id":"doi:10.1007/s44408-026-00108-3","name":"Geospatial Distribution of Urban Air Pollutants and PM2.5 Health Risks in a Growing Urban Centre of Bangladesh","source":"crossref","abstract":"","url":"https://doi.org/10.1007/s44408-026-00108-3","authors":["Sarathy Datta","Sumaiya Mahmud","Mir Md. Mozammal Hoque"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-04-10T11:21:07Z","doi":"10.1007/s44408-026-00108-3","addedAt":"2026-08-31T06:39:52.484Z","updatedAt":"2026-08-31T06:39:52.484Z"},{"id":"doi:10.3390/ijgi15080367","name":"Effects of Low-Altitude Urban Landscapes on Pilot Cognitive Load in Urban Air Mobility: An Explainable Machine Learning Approach","source":"crossref","abstract":"Whereas environmental effects on driver cognition have been extensively studied in ground transportation, research linking low-altitude visual environment characteristics to pilot cognitive load (CL) in urban air mobility (UAM) remains scarce. This study combines multimodal physiological data with explainable machine learning to elucidate how low-altitude visual environments influence pilots’ CL. First, a CL quantification framework integrating electroencephalography (EEG) and eye-tracking data is developed to capture real-time cognitive dynamics during flight. Second, multidimensional visual environment indicators are extracted from low-altitude urban landscape images captured during simulated flights using computer vision techniques. These indicators, combined with flight dynamics features, serve as input variables for constructing pilot CL prediction models via machine learning approaches. The results demonstrate that a Bayesian-optimized XGBoost model achieves superior predictive performance. Further interpretability analysis based on SHAP reveals that environmental contrast and the visibility of buildings and water bodies are key factors influencing pilot CL. Additionally, significant interaction effects are also identified among spatial morphology, color characteristics, and landscape typology, with certain landscape elements exhibiting marked variations in both importance and directional influence across different low-altitude flight scenarios. These findings inform low-altitude route optimization, urban morphological regulation, and blue-green infrastructure configuration, advancing an air-ground synergistic planning paradigm.","url":"https://doi.org/10.3390/ijgi15080367","authors":["Yupeng Jiang","Jie Song","Yukun Jiang","Yu Liu","Chengfeng Cai","Bolun Li","Bingchen Gou"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-08-14T15:48:36Z","doi":"10.3390/ijgi15080367","addedAt":"2026-08-31T06:39:52.484Z","updatedAt":"2026-08-31T06:39:52.484Z"},{"id":"doi:10.1201/9781003746607-7","name":"Counter-UAS","source":"crossref","abstract":"","url":"https://doi.org/10.1201/9781003746607-7","authors":["Lee Nguyen","Melinda Marion"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-05-21T09:32:09Z","doi":"10.1201/9781003746607-7","addedAt":"2026-08-31T06:39:52.484Z","updatedAt":"2026-08-31T06:39:52.484Z"},{"id":"doi:10.2514/6.2026-0236","name":"Decentralized Coordination of Autonomous Traffic Through Advanced Air Mobility Corridors","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2026-0236","authors":["Jasmine J. Aloor","Hamsa Balakrishnan"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-01-28T05:59:51Z","doi":"10.2514/6.2026-0236","addedAt":"2026-08-31T06:39:52.484Z","updatedAt":"2026-08-31T06:39:52.484Z"},{"id":"doi:10.2514/6.2026-4101","name":"Development of Operational Task Elements for Evaluation of Advanced Air Mobility Aircraft Automation","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2026-4101","authors":["Michael Feary"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-06-04T17:45:42Z","doi":"10.2514/6.2026-4101","addedAt":"2026-08-31T06:39:52.484Z","updatedAt":"2026-08-31T06:39:52.484Z"},{"id":"doi:10.1016/j.urbmob.2026.100200","name":"From nodes to hubs: A scalable methodology for identifying and classifying multimodal mobility hubs in the Milan metropolitan area","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.urbmob.2026.100200","authors":["Mohamed Elgohary","Paola Pucci","Giovanni Lanza"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-03-04T04:02:09Z","doi":"10.1016/j.urbmob.2026.100200","addedAt":"2026-08-31T06:39:52.484Z","updatedAt":"2026-08-31T06:39:52.484Z"},{"id":"doi:10.2514/6.2026-1951","name":"Multi Agent Guidance Algorithm for Air Mobility by Reverse Spacetime Harmonic Potential Field","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2026-1951","authors":["Kyoshiro Itakura"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-01-29T10:19:56Z","doi":"10.2514/6.2026-1951","addedAt":"2026-08-31T06:39:52.484Z","updatedAt":"2026-08-31T06:39:52.484Z"},{"id":"doi:10.2514/6.2025-3241.c1","name":"Correction: Urban Air Mobility Altitude Transition Traffic Rules and Its System Performance Analysis","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2025-3241.c1","authors":["Wenqiu Qu","Muzhou Jiang","Xiaohan Liao","Tieqiao Tang","Xin Wang","Xiling Luo"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-08-18T20:48:01Z","doi":"10.2514/6.2025-3241.c1","addedAt":"2026-08-31T06:39:52.574Z","updatedAt":"2026-08-31T06:39:52.574Z"},{"id":"doi:10.1201/9781003503262-32","name":"The Future of Urban Human Mobility Studies","source":"crossref","abstract":"","url":"https://doi.org/10.1201/9781003503262-32","authors":["Xiao Huang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-05-30T09:52:49Z","doi":"10.1201/9781003503262-32","addedAt":"2026-08-31T06:39:52.574Z","updatedAt":"2026-08-31T06:39:52.574Z"},{"id":"doi:10.1016/j.trpro.2025.10.012","name":"Towards an Integrated Environmental Modeling Platform for Sustainable Aviation and Urban Air Mobility","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.trpro.2025.10.012","authors":["Anna Plaiologk","Nikoleta Krousouloudi","Eleftheria Georganti","Sofia Kalakou"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-11-17T00:12:22Z","doi":"10.1016/j.trpro.2025.10.012","addedAt":"2026-08-31T06:39:52.574Z","updatedAt":"2026-08-31T06:39:52.574Z"},{"id":"doi:10.1007/978-981-95-2282-8_16","name":"Legal Challenges of Providing Urban Air Mobility Services in the Green Economy","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-981-95-2282-8_16","authors":["Andrzej Krasuski"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-01-02T01:03:51Z","doi":"10.1007/978-981-95-2282-8_16","addedAt":"2026-08-31T06:39:52.574Z","updatedAt":"2026-08-31T06:39:52.574Z"},{"id":"doi:10.1016/j.urbmob.2025.100111","name":"The role of digital mobility skills in the uptake of shared modes at mobility hubs","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.urbmob.2025.100111","authors":["Kelt É. Garritsen","Anna B. Grigolon","Karst T. Geurs"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-03-14T14:45:51Z","doi":"10.1016/j.urbmob.2025.100111","addedAt":"2026-08-31T06:39:52.574Z","updatedAt":"2026-08-31T06:39:52.574Z"},{"id":"doi:10.1109/aiccsa66935.2025.11315472","name":"MAS4D: Multi-Agent Simulations with Hybrid Path Planning for Urban Air Mobility","source":"crossref","abstract":"","url":"https://doi.org/10.1109/aiccsa66935.2025.11315472","authors":["Mahshid Sarafraz","Besma Zeddini","Vincent Gauthier","Stephane Serfaty"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-01-05T18:35:55Z","doi":"10.1109/aiccsa66935.2025.11315472","addedAt":"2026-08-31T06:39:52.574Z","updatedAt":"2026-08-31T06:39:52.574Z"},{"id":"doi:10.1201/9781003503262-5","name":"Equity and Accessibility in Urban Mobility","source":"crossref","abstract":"","url":"https://doi.org/10.1201/9781003503262-5","authors":["B. van Wee"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-05-30T09:52:49Z","doi":"10.1201/9781003503262-5","addedAt":"2026-08-31T06:39:52.574Z","updatedAt":"2026-08-31T06:39:52.574Z"},{"id":"doi:10.29056/jdaem.2025.09.04","name":"A Study of Urban Air Mobility (UAM) and Its Energy Consumption under Various Operational Environments","source":"crossref","abstract":"","url":"https://doi.org/10.29056/jdaem.2025.09.04","authors":["Sunguk Lee"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-09-29T06:45:43Z","doi":"10.29056/jdaem.2025.09.04","addedAt":"2026-08-31T06:39:52.574Z","updatedAt":"2026-08-31T06:39:52.574Z"},{"id":"doi:10.1109/cdc57313.2025.11312717","name":"Anti-Spoofing Aided Solutions for Urban Air Mobility: Ground Command Authentication","source":"crossref","abstract":"","url":"https://doi.org/10.1109/cdc57313.2025.11312717","authors":["S. Shahkar","K. Khorasani"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-01-12T18:19:56Z","doi":"10.1109/cdc57313.2025.11312717","addedAt":"2026-08-31T06:39:52.574Z","updatedAt":"2026-08-31T06:39:52.574Z"},{"id":"doi:10.2139/ssrn.5343372","name":"Integrating Urban Air Mobility with Highway Infrastructure: A Strategic Approach for Vertiport Location Selection in the Seoul Metropolitan Area","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.5343372","authors":["Donghyun Yoon","Minwoo Jeong","Jinyong Lee","Seyun Kim","Yoonjin Yoon"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-07-08T02:53:44Z","doi":"10.2139/ssrn.5343372","addedAt":"2026-08-31T06:39:52.574Z","updatedAt":"2026-08-31T06:39:52.574Z"},{"id":"doi:10.3390/act14040176","name":"Design of Experiments Approach for Structural Optimization of Urban Air Mobility Vehicles","source":"crossref","abstract":"The current global context demands the development of new solutions that prioritize energy efficiency, time optimization, safety, and sustainability. Urban transportation is one of the sectors undergoing significant transformation. Pursuing new urban transportation solutions has become increasingly intense, involving research institutions and companies. Considering this context, this study focused on the optimization procedures for designing a new vehicle capable of vertical take-off for urban air mobility applications. This paper reports on the optimization process of a thruster deployment mechanism using statistical techniques. In particular, the authors tested the use of Design of Experiments (DOE) techniques for the optimal design of a structural component of a new vehicle for urban mobility purposes under development at the Applied Mechanics laboratory of the Department of Industrial Engineering of the University of Salerno. For this reason, it was decided that a parametric multibody model would be developed in the Simscape Multibody environment for structural optimization using designed experiment plans to “guide” the designer in the analysis phase and search for an optimal configuration using a minimum number of configurations. Finally, employing FEM analysis, the chosen configuration was validated. This study allowed us to test the use of DOE techniques to design new systems. It allowed us to evaluate different configurations, the static and dynamic behavior, the constraining reactions present in the joints, and the active forces and torques of the actuators, highlighting the correlation between factors that can guide the designer in identifying optimal solutions.","url":"https://doi.org/10.3390/act14040176","authors":["Marco Claudio De Simone","Salvio Veneziano","Alessia Porcaro","Domenico Guida"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-04-04T03:36:45Z","doi":"10.3390/act14040176","addedAt":"2026-08-31T06:39:52.574Z","updatedAt":"2026-08-31T06:39:52.574Z"},{"id":"doi:10.2139/ssrn.5320174","name":"Urban Air Mobility Flight Hazard Index Prediction Using Wrf-Les Simulations and Lstm Networks","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.5320174","authors":["Dongsu Seon","Jaeguk Lee","Inrae Kim","Hoijo Jeong","Seungkeun Kim","Kyu Hong Kim","Shinkyu Jeong"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-06-25T16:38:48Z","doi":"10.2139/ssrn.5320174","addedAt":"2026-08-31T06:39:52.574Z","updatedAt":"2026-08-31T06:39:52.574Z"},{"id":"doi:10.2139/ssrn.5343371","name":"Integrating Urban Air Mobility with Highway Infrastructure: A Strategic Approach for Vertiport Location Selection in the Seoul Metropolitan Area","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.5343371","authors":["Donghyun Yoon","Minwoo Jeong","Jinyong Lee","Seyun Kim","Yoonjin Yoon"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-07-08T02:53:34Z","doi":"10.2139/ssrn.5343371","addedAt":"2026-08-31T06:39:52.574Z","updatedAt":"2026-08-31T06:39:52.574Z"},{"id":"doi:10.1201/9788743806905-10","name":"Sustainable Urban Air Mobility: Challenges, Innovations, and Strategic Recommendations","source":"crossref","abstract":"","url":"https://doi.org/10.1201/9788743806905-10","authors":["Mamta Ahuja","Avani Bhatt","Priti Sharma","Manu Sharma"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-12-18T17:24:06Z","doi":"10.1201/9788743806905-10","addedAt":"2026-08-31T06:39:52.574Z","updatedAt":"2026-08-31T06:39:52.574Z"},{"id":"doi:10.2514/6.2025-2784","name":"Data-Driven Approach Toward Vertiport Placement for Urban Air Mobility Operations: Case Studies in South Korea","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2025-2784","authors":["Shinkook Cha","Juchan Lee","Chungho Park","Yujin Kim","Youngjae Lee","Junghyun A. Kim"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-02-12T10:03:43Z","doi":"10.2514/6.2025-2784","addedAt":"2026-08-31T06:39:52.574Z","updatedAt":"2026-08-31T06:39:52.574Z"},{"id":"doi:10.1016/j.urbmob.2025.100100","name":"The long road from urban experimentation to the transformation of urban planning practice: The case of tactical urbanism in the city of Barcelona","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.urbmob.2025.100100","authors":["Franziska Schreiber"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-01-10T01:00:38Z","doi":"10.1016/j.urbmob.2025.100100","addedAt":"2026-08-31T06:39:52.574Z","updatedAt":"2026-08-31T06:39:52.574Z"},{"id":"doi:10.2139/ssrn.5408076","name":"Enhancing urban liveability: modelling shared autonomous mobility and urban greening","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.5408076","authors":["Oscar Silva"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-08-29T08:26:50Z","doi":"10.2139/ssrn.5408076","addedAt":"2026-08-31T06:39:52.574Z","updatedAt":"2026-08-31T06:39:52.574Z"},{"id":"doi:10.2514/6.2025-0099","name":"Considerations for Optimal Sensor Placement for Higher Accuracy Object Localization for Urban Air Mobility","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2025-0099","authors":["Thomas Lombaerts","Evan Kawamura","Keerthana Kannan","Corey A. Ippolito","Vahram Stepanyan","George Gorospe","Chester Dolph"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-02-12T09:44:16Z","doi":"10.2514/6.2025-0099","addedAt":"2026-08-31T06:39:52.574Z","updatedAt":"2026-08-31T06:39:52.574Z"},{"id":"doi:10.1016/j.urbmob.2025.100114","name":"Still on track for electrification? A qualitative comparative analysis of e-mobility policy mixes in 14 European cities","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.urbmob.2025.100114","authors":["Tobias Held","Lasse Gerrits"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-04-12T08:55:01Z","doi":"10.1016/j.urbmob.2025.100114","addedAt":"2026-08-31T06:39:52.574Z","updatedAt":"2026-08-31T06:39:52.574Z"},{"id":"doi:10.1201/9781003503262-3","name":"The Pillars of Modern Urban Human Mobility Studies","source":"crossref","abstract":"","url":"https://doi.org/10.1201/9781003503262-3","authors":["Xiao Huang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-05-30T09:52:49Z","doi":"10.1201/9781003503262-3","addedAt":"2026-08-31T06:39:52.574Z","updatedAt":"2026-08-31T06:39:52.574Z"},{"id":"doi:10.1201/9781003503262-7","name":"Natural Disasters and Urban Human Mobility","source":"crossref","abstract":"","url":"https://doi.org/10.1201/9781003503262-7","authors":["Xiang Li","Yi Qiang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-05-30T09:52:49Z","doi":"10.1201/9781003503262-7","addedAt":"2026-08-31T06:39:52.574Z","updatedAt":"2026-08-31T06:39:52.574Z"},{"id":"doi:10.1201/9781003503262-8","name":"Economics of Urban Mobility","source":"crossref","abstract":"","url":"https://doi.org/10.1201/9781003503262-8","authors":["Qianwen Guo","Xiao Huang","Raj Ponnaluri"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-05-30T09:52:49Z","doi":"10.1201/9781003503262-8","addedAt":"2026-08-31T06:39:52.574Z","updatedAt":"2026-08-31T06:39:52.574Z"},{"id":"doi:10.1109/mswim67937.2025.11309070","name":"Realistic Simulation of Urban Air Mobility Scenarios","source":"crossref","abstract":"","url":"https://doi.org/10.1109/mswim67937.2025.11309070","authors":["Iker Nebot Amoriza","Víctor Blázquez Milara","Aurelio Bermúdez Marín","Rafael Casado González"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-12-30T18:35:11Z","doi":"10.1109/mswim67937.2025.11309070","addedAt":"2026-08-31T06:39:52.574Z","updatedAt":"2026-08-31T06:39:52.574Z"},{"id":"doi:10.1115/1.4067770","name":"Vibration Suppression and Trajectory Tracking With Nonlinear Model Predictive Control for Urban Air Mobility Aircraft","source":"crossref","abstract":"Abstract This paper describes developing and simulating a nonlinear model predictive controller (NMPC) for a tiltrotor urban air mobility (UAM) aircraft. The aircraft’s free flight is governed by a set of nonlinear rigid-body dynamic equations, considering multiple tiltrotors and their gyroscopic and inertial effects. The control variables include two push rotors’ spin rates and the deflections of traditional control surfaces, including the elevator, aileron, and rudder. The performance of the NMPC is compared with the linear quadratic regulator (LQR) and model predictive controller (MPC) for vibration suppression during the level flight. The NMPC and LQR can fully remove pitch angle oscillation and stabilize altitude in approximately 15 s. The MPC, while still able to reduce the rigid body vibration cannot fully remove the oscillation in 80 s. The NMPC and LQR are compared for lateral and longitudinal trajectory path tracking, with the NMPC showing better performance in both cases due to its ability to take into account the nonlinear nature of the aircraft flight dynamics and predict the vehicle’s future response when determining the best control inputs. Different from the vibration control case, the nonlinear nature of the aircraft flight dynamics should be accounted for by the controller design to properly track the ever-changing path reference, which is not the case for the LQR. While the NMPC has a higher computational cost, it demonstrates much better control performance than the MPC and LQR.","url":"https://doi.org/10.1115/1.4067770","authors":["Jessica Nunes","Weihua Su","Tianyi He"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-02-01T03:37:36Z","doi":"10.1115/1.4067770","addedAt":"2026-08-31T06:39:52.574Z","updatedAt":"2026-08-31T06:39:52.574Z"},{"id":"doi:10.1017/aer.2025.30","name":"Multi-view representation learning for performance-based tactical conflict resolution in urban air mobility","source":"crossref","abstract":"Abstract Ensuring safety and security in urban air mobility is of utmost significance. As air traffic becomes more concentrated in urban regions, instances of flight conflicts are on the rise. The complex urban morphology, micro-environmental factors and various flight risks significantly impact flight safety. This paper introduces a comprehensive framework to address these challenges. The framework incorporates random 3D city layouts, encompassing city buildings and terrains to establish a corridor graph structure. Leveraging this graph, a multi-view representation learning approach is proposed, which employs graph neural networks, recurrent neural networks (RNN) and contrastive learning to effectively manage tactical conflicts. Through rigorous testing across diverse scenarios, including the incorporation of uncertainties such as wind turbulence, the model’s performance is extensively evaluated. The conclusive results underscore the robustness and efficacy of the proposed approach in ensuring safety and resolving conflicts within the dynamic urban air mobility landscape.","url":"https://doi.org/10.1017/aer.2025.30","authors":["Cheng Huang","Ivan Petrunin","Antonios Tsourdos"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-06-30T05:49:07Z","doi":"10.1017/aer.2025.30","addedAt":"2026-08-31T06:39:52.574Z","updatedAt":"2026-08-31T06:39:52.574Z"},{"id":"doi:10.1109/itsc60802.2025.11423523","name":"Fair-CoPlan: Negotiated Flight Planning with Fair Deconfliction for Urban Air Mobility","source":"crossref","abstract":"","url":"https://doi.org/10.1109/itsc60802.2025.11423523","authors":["Nicole Fronda","Phil Smith","Bardh Hoxha","Yash Vardhan Pant","Houssam Abbas"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-03-16T20:10:23Z","doi":"10.1109/itsc60802.2025.11423523","addedAt":"2026-08-31T06:39:52.574Z","updatedAt":"2026-08-31T06:39:52.574Z"},{"id":"doi:10.1109/cpsi66656.2025.11343897","name":"Urban Air Mobility: A Review of Recent Advances in Communication, Management, and Sustainability","source":"crossref","abstract":"","url":"https://doi.org/10.1109/cpsi66656.2025.11343897","authors":["Zhitong He","Zijing Wang","Lingxi Li"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-01-23T20:55:16Z","doi":"10.1109/cpsi66656.2025.11343897","addedAt":"2026-08-31T06:39:52.574Z","updatedAt":"2026-08-31T06:39:56.013Z"},{"id":"doi:10.1146/annurev-control-022823-031353","name":"Urban Air Mobility Research Challenges and Opportunities","source":"crossref","abstract":"This article reviews the literature on urban air mobility (UAM), examining both the research challenges it presents and the transformative opportunities that make these challenges worth addressing. While UAM has historical precedents, the current iteration is born of novel aircraft technology, primarily electric vertical takeoff and landing (eVTOL) and electric short takeoff and landing (eSTOL) aircraft. These advances raise new questions in aerodynamics, control, and integration with urban infrastructure. We explore several key research areas, including aircraft design, vertiport development, network planning, and air traffic management. We also address the scalability challenges in air traffic management for high-density UAM operations and the potential of autonomous and remotely piloted systems. If new aircraft are to birth a new urbanism, they will do so by integrating aircraft engineering and computational intelligence in control, systems, robotics, and human factors.","url":"https://doi.org/10.1146/annurev-control-022823-031353","authors":["Raja Sengupta","Vishwanath Bulusu","Chams Eddine Mballo","Emin Burak Onat","Shangqing (Albert) Cao"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-01-02T13:01:18Z","doi":"10.1146/annurev-control-022823-031353","addedAt":"2026-08-31T06:39:52.574Z","updatedAt":"2026-08-31T06:39:56.013Z"},{"id":"doi:10.2514/1.i011460","name":"On-Demand Urban Air Mobility Scheduling with Operational Considerations","source":"crossref","abstract":"This paper introduces an on-demand sequencing and scheduling framework for Urban Air Mobility (UAM) with electric vertical takeoff and landing (eVTOL) aircraft. Safety and efficiency, considering factors such as battery state of charge and charging infrastructure, are critical factors for UAM operations. A new scheduling framework integrating considerations for battery consumption, parking and charging infrastructure, vertiport throughput, and fleet heterogeneity to maximize the operational efficiency of the eVTOL UAM fleet is proposed. A solution methodology utilizing a genetic algorithm and receding horizon scheduling achieves near-optimal solutions with an average optimality gap of 5.8% and a runtime of less than 1 min for dynamic scheduling. A case study based on the 2024 Paris Olympic air taxi operations demonstrates the efficacy of the proposed problem formulation and solution method.","url":"https://doi.org/10.2514/1.i011460","authors":["Jaeyoul Ko","Jaemyung Ahn"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-02-10T12:09:26Z","doi":"10.2514/1.i011460","addedAt":"2026-08-31T06:39:52.574Z","updatedAt":"2026-08-31T06:39:52.574Z"},{"id":"doi:10.2514/6.2025-0343.c1","name":"Correction: Large-Scale Simulation of a Distributed Sensing Network Supporting Regional Urban Air Mobility Operations","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2025-0343.c1","authors":["Keerthana Kannan","Joshua E. Baculi","Corey A. Ippolito","Vahram Stepanyan","Thomas Lombaerts","Evan Kawamura"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-02-12T04:44:16Z","doi":"10.2514/6.2025-0343.c1","addedAt":"2026-08-31T06:39:52.574Z","updatedAt":"2026-08-31T06:39:52.574Z"},{"id":"doi:10.1016/j.urbmob.2025.100157","name":"Designing ideal streetscapes with youth: Exploring transport values through participatory urban planning in Flanders","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.urbmob.2025.100157","authors":["Hannah Hook","Joyce David"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-10-15T19:53:08Z","doi":"10.1016/j.urbmob.2025.100157","addedAt":"2026-08-31T06:39:52.574Z","updatedAt":"2026-08-31T06:39:52.574Z"},{"id":"doi:10.1016/j.urbmob.2025.100150","name":"Lane merging in autonomous vehicle urban driving using reinforcement learning models","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.urbmob.2025.100150","authors":["El houssine Amraouy","Ali Yahyaouy","Hamid Gualous","Hicham Chaoui","Sanaa Faquir"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-09-23T10:01:23Z","doi":"10.1016/j.urbmob.2025.100150","addedAt":"2026-08-31T06:39:52.574Z","updatedAt":"2026-08-31T06:39:52.574Z"},{"id":"doi:10.1201/9781003503262-10","name":"Urban Human Mobility and Energy","source":"crossref","abstract":"","url":"https://doi.org/10.1201/9781003503262-10","authors":["Ehsan Dorostkar","Mahsa Najarsadeghi","Xiao Huang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-05-30T09:52:49Z","doi":"10.1201/9781003503262-10","addedAt":"2026-08-31T06:39:52.574Z","updatedAt":"2026-08-31T06:39:52.574Z"},{"id":"doi:10.1016/j.urbmob.2025.100115","name":"Understanding the key criteria for shared mobility providers in their evaluation of potential markets","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.urbmob.2025.100115","authors":["Elnert Coenegrachts","Thierry Vanelslander","Ann Verhetsel","Joris Beckers"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-04-24T01:46:43Z","doi":"10.1016/j.urbmob.2025.100115","addedAt":"2026-08-31T06:39:52.574Z","updatedAt":"2026-08-31T06:39:52.574Z"},{"id":"doi:10.1016/j.ress.2025.110897","name":"Prescribing optimal health-aware operation for urban air mobility with deep reinforcement learning","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.ress.2025.110897","authors":["Mina Montazeri","Chetan S. Kulkarni","Olga Fink"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-02-27T03:13:14Z","doi":"10.1016/j.ress.2025.110897","addedAt":"2026-08-31T06:39:52.574Z","updatedAt":"2026-08-31T06:39:52.574Z"},{"id":"doi:10.1016/j.jairtraman.2024.102719","name":"Urban air mobility for airport access: Mode choice preference associated with socioeconomic status and airport usage behavior","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.jairtraman.2024.102719","authors":["Hyeokjun Jang","Yeongmin Kwon","Kitae Jang","Suji Kim"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-12-04T13:33:11Z","doi":"10.1016/j.jairtraman.2024.102719","addedAt":"2026-08-31T06:39:52.574Z","updatedAt":"2026-08-31T06:39:52.574Z"},{"id":"doi:10.1016/j.csite.2025.107006","name":"Design and optimization of hydrogen fuel cell-powered aerial vehicles for urban air mobility","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.csite.2025.107006","authors":["Heng Liu","Huijun Cui","Dongxin Ma"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-09-07T05:30:13Z","doi":"10.1016/j.csite.2025.107006","addedAt":"2026-08-31T06:39:52.574Z","updatedAt":"2026-08-31T06:39:52.574Z"},{"id":"doi:10.1016/j.ast.2025.110517","name":"Nonlinear model predictive control for stabilizing tiltrotor urban air mobility aircraft under control effector failures","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.ast.2025.110517","authors":["Jessica S.M. Nunes","Weihua Su","Tianyi He"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-06-26T12:02:46Z","doi":"10.1016/j.ast.2025.110517","addedAt":"2026-08-31T06:39:52.574Z","updatedAt":"2026-08-31T06:39:52.574Z"},{"id":"doi:10.1109/dasc66011.2025.11257295","name":"Pending Slot Reservation for Urban Air Mobility: Addressing on-Demand Traffic Uncertainty","source":"crossref","abstract":"","url":"https://doi.org/10.1109/dasc66011.2025.11257295","authors":["Hyewook Kim","Yeonju Eun","Daekeun Jeon"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-01-07T18:30:15Z","doi":"10.1109/dasc66011.2025.11257295","addedAt":"2026-08-31T06:39:52.574Z","updatedAt":"2026-08-31T06:39:52.574Z"},{"id":"doi:10.1149/ma2025-02432190mtgabs","name":"Modeling and Simulation of a Proton Exchange Membrane Fuel Cell-Battery Hybrid Electric Propulsion System for Urban Air Mobility","source":"crossref","abstract":"To reduce carbon emissions, replacing internal combustion engines with eco-friendly power sources like batteries and hydrogen fuel cells is ongoing rapidly. Currently, batteries are widely used for cars but have a lower gravimetric energy density than hydrogen, so they are not the best power source for UAMs. Therefore, hydrogen fuel cells are considered a more appropriate power source for UAMs than batteries. However, hydrogen fuel cells have slow responsiveness, so it is necessary to use batteries as an auxiliary power source since they have high responsiveness. Therefore, in this study, a fuel cell-battery hybrid electric propulsion system for urban air mobility(UAM) is developed and simulated with MATLAB. The fuel cell system model developed in this study consists of a fuel cell stack, a thermal management system, a cooling system, a hydrogen supply system, and an air supply system. The fuel cell stack model is developed considering the electrochemical reaction, heat transfer, energy balance, material transfer, and material balance that occurs in the stack. The battery dynamic model has been developed based on an equivalent circuit model. The energy management strategy between the fuel cell system and the battery is developed and simulated with the assumed flight profile of the UAM. As a result, the dynamic behavior of the fuel cell stack, BOPs, and the battery are identified. Figure.1 PEMFC – Battery Hybrid electric propulsion system for UAM (a) model schematic (b) power distribution Figure 1","url":"https://doi.org/10.1149/ma2025-02432190mtgabs","authors":["Yonghyun Kim","Sanggyu Kang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-11-24T08:18:15Z","doi":"10.1149/ma2025-02432190mtgabs","addedAt":"2026-08-31T06:39:52.574Z","updatedAt":"2026-08-31T06:39:52.574Z"},{"id":"doi:10.1016/j.urbmob.2025.100156","name":"Temporary recurring closures and changing mobility patterns: A quasi-experimental study of the impacts of London’s Covid-19 school streets on travel to school","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.urbmob.2025.100156","authors":["Asa Thomas"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-11-20T19:29:16Z","doi":"10.1016/j.urbmob.2025.100156","addedAt":"2026-08-31T06:39:52.574Z","updatedAt":"2026-08-31T06:39:52.574Z"},{"id":"doi:10.3390/environments12110411","name":"Modeling Air Pollution from Urban Transport and Strategies for Transitioning to Eco-Friendly Mobility in Urban Environments","source":"crossref","abstract":"Urban air pollution caused by vehicular emissions remains one of the most pressing environmental challenges, negatively affecting both public health and climate processes. In Kokshetau, Kazakhstan, where electric vehicle (EV) adoption accounts for only 0.019% of the total fleet and charging infrastructure is nearly absent, reducing transport-related emissions requires short-term and cost-effective solutions. This study proposes an integrated approach combining urban ecology principles with computational modeling to optimize traffic signal control for emission reduction. An artificial neural network (ANN) was trained using intersection-specific traffic data to predict emissions of carbon monoxide (CO), nitrogen oxides (NOx), sulfur dioxide (SO2), and particulate matter (PM2.5). The ANN was incorporated into a nonlinear optimization framework to determine traffic signal timings that minimize total emissions without increasing traffic delays. The results demonstrate reductions in emissions of CO by 12.4%, NOx by 9.8%, SO2 by 7.6%, and PM2.5 by 10.3% at major congestion hotspots. These findings highlight the potential of the proposed framework to improve urban air quality, reduce ecological risks, and support sustainable transport planning. The method is scalable and adaptable to other cities with similar urban and environmental characteristics, facilitating the transition toward eco-friendly mobility and integrating data-driven traffic management into broader climate and public health policies.","url":"https://doi.org/10.3390/environments12110411","authors":["Sayagul Zhaparova","Monika Kulisz","Nurzhan Kospanov","Anar Ibrayeva","Zulfiya Bayazitova","Aigul Kurmanbayeva"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-11-03T16:18:42Z","doi":"10.3390/environments12110411","addedAt":"2026-08-31T06:39:52.574Z","updatedAt":"2026-08-31T06:39:52.574Z"},{"id":"doi:10.3390/aerospace12080709","name":"Vertiport Location Selection and Optimization for Urban Air Mobility in Complex Urban Scenes","source":"openalex","abstract":"Vertiports, as dedicated facilities for electric vertical takeoff and landing (eVTOL) aircraft, are essential to ensure the efficiency and sustainability of Urban Air Mobility (UAM). However, UAM infrastructure site selection has become increasingly complex due to limited land availability, complex spatial conditions, and the need to balance multiple objectives. Focusing on passenger-carrying UAM operations, this study proposes a systematic framework for vertiport site selection. First, key factors are classified into high, medium, and low levels across the safety, economic, and social dimensions, forming a modular evaluation system. A GIS-based spatial screening process is developed to identify potential vertiport locations. Subsequently, a variable representing the level of demand satisfaction is incorporated into a progressive coverage model specifically designed for vertiport site optimization. A hybrid algorithm is designed to solve the model. Using Shenzhen as a case study, the proposed approach is validated through real-world data. The results show that vertiport size and spatial requirements significantly influence the selection of suitable land types. High economic constraints may cause facility over-concentration, while setting standards aligned with regional functions better supports equitable access. Locating vertiports in high-demand areas enhances demand satisfaction levels, and both service capacity and range strongly influence overall system performance. These findings provide practical insights for future vertiport planning, promoting the efficient use of urban resources and supporting the successful implementation and sustainability of UAM.","url":"https://doi.org/10.3390/aerospace12080709","authors":["Yannan Lu","Weili Zeng","Wenbin Wei","Weiwei Wu","Hao Jiang","Ying Lu"],"tags":["Computer science","Sustainability","Key (lock)","Process (computing)","Site selection"],"confidence":0.72,"sites":["low-altitude"],"publishedDate":"2025-08-10","doi":"10.3390/aerospace12080709","addedAt":"2026-08-31T06:39:52.574Z","updatedAt":"2026-08-31T14:45:35.251Z"},{"id":"doi:10.63680/ijsate0525142.14","name":"Assessing the Impact of Green Transportation Infrastructure on Urban Mobility and Air Quality in Developing Cities","source":"crossref","abstract":"","url":"https://doi.org/10.63680/ijsate0525142.14","authors":["Akeem Olakunle Ogundipe"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-06-06T13:41:11Z","doi":"10.63680/ijsate0525142.14","addedAt":"2026-08-31T06:39:52.574Z","updatedAt":"2026-08-31T06:39:52.574Z"},{"id":"doi:10.3390/smartcities8060202","name":"A Strategy-Aware LLM-Based Framework for Vertiport Site Selection in Urban Air Mobility with Ground Transportation Integration","source":"crossref","abstract":"Urban air mobility (UAM) introduces electric vertical takeoff and landing (eVTOL) systems, creating new requirements for infrastructure planning. Vertiport siting is central, yet existing approaches such as multi-criteria decision analysis and optimization often rely on fixed criteria and seldom integrate ground transportation, which is critical for first- and last-mile access. Large language models (LLMs) show strong capabilities in reasoning and tool orchestration, but their role in siting tasks remains underexplored. This study proposes a strategy-aware LLM-based framework that connects heterogeneous spatial data with planning strategies expressed in natural language. A reflective loop connects the planner, executor, and validator for iterative refinement using two methods: multi-criteria decision analysis for interpretable mapping and a genetic algorithm for nonlinear optimization. Experiments in Los Angeles highlight both the potential and challenges of applying LLM agents to siting: outcome evaluation shows that strategies can be translated into distinct trade-offs, while process evaluation demonstrates the benefits of iterative refinement. The study suggests that LLM-based agents can formalize qualitative strategies into reproducible workflows, indicating their potential for UAM siting and promise for broader use in urban planning.","url":"https://doi.org/10.3390/smartcities8060202","authors":["Yuping Jin","Jun Ma"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-12-02T12:39:43Z","doi":"10.3390/smartcities8060202","addedAt":"2026-08-31T06:39:52.574Z","updatedAt":"2026-08-31T06:39:52.574Z"},{"id":"doi:10.2514/6.2025-2034","name":"Generalized Multi-Level Line Routing for Packaging Design of an Urban Air Mobility Nacelle Using Dijkstra’s Algorithm and Signed Distances","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2025-2034","authors":["Daniel Tameer","Shayan Jalayer","JaeSung Huh","Sangkook Jun","Il Yong Kim"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-02-12T10:03:43Z","doi":"10.2514/6.2025-2034","addedAt":"2026-08-31T06:39:52.574Z","updatedAt":"2026-08-31T06:39:52.574Z"},{"id":"doi:10.2478/tar-2025-0002","name":"From Hybrid to Hydrogen: Development and Optimization of Air Taxi Layout Schemes and Propulsion Systems for Urban Mobility Applications","source":"crossref","abstract":"Abstract The rapid expansion of urban air mobility (UAM) is transforming the market of short-distance transportation, offering a sustainable alternative to ground-based transit systems. The first part of this paper analyzes various propulsion system layouts and aircraft configurations that have been proposed for air taxis, emphasizing their applicability in both passenger and cargo transport. A comprehensive review of existing eVTOL (electric vertical take-off and landing) designs is conducted, highlighting the advantages and limitations of hybrid-electric and hydrogen-based propulsion systems. The study explores the integration of new aerodynamic schemes, such as tiltrotors and flying wings, with advanced energy management strategies to enhance efficiency and flight range. Next, in the second part of this paper, a hydrogen-powered vertical take-off and landing (HydVTOL) aircraft concept, named XFlight, is proposed, in two transport options. The first has a hydrogen-electric power plant inside the body, while the second option has it outside the body. The XFlight design aims to offer greater flight range, higher cruise speeds, enhanced system redundancy, and zero harmful emissions, making it a more efficient and environmentally friendly alternative to current VTOL and eVTOL solutions. The findings underscore the potential of hydrogen propulsion in shaping the next generation of UAM vehicles, offering a pathway to greater autonomy, cost-effectiveness, and scalability in urban transportation networks.","url":"https://doi.org/10.2478/tar-2025-0002","authors":["Vasyl Loginov","Yevgen Ukrainets","Sergiy Shevchenko","Anton Loginov"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-04-09T17:58:36Z","doi":"10.2478/tar-2025-0002","addedAt":"2026-08-31T06:39:52.574Z","updatedAt":"2026-08-31T06:39:52.574Z"},{"id":"doi:10.2514/6.2025-2003","name":"Proposed Urban Air Mobility Operations Will Lead to Socioeconomic Disparities in Noise Pollution","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2025-2003","authors":["Matthew A. Clarke","Aidan R. Molloy","Niranjan Nanjappa","Yair N. Guerrero","Ava Cipriani","Nicole Artemyev","Ceyenna M. Tillman"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-02-12T05:03:43Z","doi":"10.2514/6.2025-2003","addedAt":"2026-08-31T06:39:52.574Z","updatedAt":"2026-08-31T06:39:52.574Z"},{"id":"doi:10.1037/t95039-000","name":"Urban Air Mobility and the Consumer Adoption Process--Measurement Model","source":"crossref","abstract":"","url":"https://doi.org/10.1037/t95039-000","authors":["Jinkyung Jenny Kim","Aleksandar Radic","Antonio Ariza-Montes","Bee-Lia Chua","Bonhak Koo","Seongseop Kim","Heesup Han"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-07-14T14:03:52Z","doi":"10.1037/t95039-000","addedAt":"2026-08-31T06:39:52.574Z","updatedAt":"2026-08-31T06:39:52.574Z"},{"id":"doi:10.55214/25768484.v9i4.6223","name":"Vibration-based structural anomaly detection and health monitoring of urban air mobility vehicles","source":"crossref","abstract":"The urban air mobility (UAM) market continues to grow as the importance of structural health monitoring (SHM) technology is increasingly emphasized for safe operation. This study proposes a Euclidean distance vector-based vibration analysis method for the early detection of abnormal vibrations and for performing safety diagnostics in the rotor-arm system of a multicopter-type UAM. Vibration experiments were conducted by simulating abnormal conditions such as mass imbalance, bolt loosening, and propeller damage in stages to verify this approach, thereby reflecting actual operating environments. The frequency response and vibration characteristics were analyzed in comparison to normal conditions. The analysis showed that even minor mass imbalances and bolt loosening caused a significant increase in vibration within specific frequency bands. Certain frequency bands exhibited pronounced damping effects as damage worsened, revealing complex dynamic behavior. These results confirm shifts in resonance frequency and dispersion of vibration energy due to structural dynamic changes, thereby demonstrating the effectiveness of the Euclidean distance vector-based analysis method in detecting such anomalies. In conclusion, the proposed method enables the early detection of anomalies in multicopter-type UAM rotor arms, providing a basis for safety diagnostics and potentially enhancing reliability through expansion into fault detection systems.","url":"https://doi.org/10.55214/25768484.v9i4.6223","authors":["Soeng-Weon Seo","Dong-Gi Kwag"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-04-21T02:27:01Z","doi":"10.55214/25768484.v9i4.6223","addedAt":"2026-08-31T06:39:52.574Z","updatedAt":"2026-08-31T06:39:52.574Z"},{"id":"doi:10.53555/acr.v2i5.1751","name":"Exploration and Assessment of the Factors Affecting the Implementation of Urban Air Mobility (UAM) in India","source":"crossref","abstract":"","url":"https://doi.org/10.53555/acr.v2i5.1751","authors":["Mahek Gaur","Dr. Mohit Rishi","Dr. Pradeep Chauhan","Dr. Anirudh Singh"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-01-14T12:37:01Z","doi":"10.53555/acr.v2i5.1751","addedAt":"2026-08-31T06:39:52.574Z","updatedAt":"2026-08-31T06:39:52.574Z"},{"id":"doi:10.3390/jsan14020039","name":"Urban Air Mobility, Personal Drones, and the Safety of Occupants—A Comprehensive Review","source":"crossref","abstract":"Urban air mobility (UAM) is expected to provide environmental benefits while enhancing transportation for citizens and businesses, particularly in commercial and emergency medical applications. The rapid development of electric vertical take-off and landing (eVTOL) aircraft has demonstrated the potential to introduce new technological capabilities to the market, fostering visions of widespread and diverse UAM applications. This paper reviews state-of-the-art occupant safety for personal drones and examines existing occupant protection methods in the aircraft. The study serves as a guide for stakeholders, including regulators, manufacturers, researchers, policymakers, and industry professionals—by providing insights into the regulatory landscape and safety assurance frameworks for eVTOL aircraft in UAM applications. Furthermore, we present a functional hazard assessment (FHA) conducted on a reference concept, detailing the process, decision-making considerations, and key variations. The analysis illustrates the FHA methodology while discussing the trade-offs involved in safety evaluations. Additionally, we provide a summary and a featured description of current eVTOL aircraft, highlighting their key characteristics and technological advancements.","url":"https://doi.org/10.3390/jsan14020039","authors":["Dmytro Zhyriakov","Mariusz Ptak","Marek Sawicki"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-04-07T11:24:39Z","doi":"10.3390/jsan14020039","addedAt":"2026-08-31T06:39:52.574Z","updatedAt":"2026-08-31T06:39:56.013Z"},{"id":"doi:10.1145/3764925.3770906","name":"Issues on Pre-Training and Applications of Urban Mobility Foundation Models","source":"crossref","abstract":"","url":"https://doi.org/10.1145/3764925.3770906","authors":["Song Gao"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-12-02T18:01:51Z","doi":"10.1145/3764925.3770906","addedAt":"2026-08-31T06:39:52.574Z","updatedAt":"2026-08-31T06:39:52.574Z"},{"id":"doi:10.1016/j.urbmob.2025.100167","name":"What drives car use: Parking policy or perceived parking accessibility?","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.urbmob.2025.100167","authors":["Cong Qi","Jonas De Vos","Xiucheng Guo"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-11-21T05:35:55Z","doi":"10.1016/j.urbmob.2025.100167","addedAt":"2026-08-31T06:39:52.574Z","updatedAt":"2026-08-31T06:39:52.574Z"},{"id":"doi:10.1016/j.aei.2024.102974","name":"Multi-objective hub location for urban air mobility via self-adaptive evolutionary algorithm","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.aei.2024.102974","authors":["Chunxiao Zhang","Wenbo Du","Tong Guo","Rongjie Yu","Tao Song","Yumeng Li"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-12-15T08:05:19Z","doi":"10.1016/j.aei.2024.102974","addedAt":"2026-08-31T06:39:52.574Z","updatedAt":"2026-08-31T06:39:52.574Z"},{"id":"doi:10.4050/f-0081-2025-0313","name":"An Initial Flight Performance Assessment of New Urban Air Mobility Concept Vehicles for Medical Rendezvous Operations","source":"crossref","abstract":"A novel multirotor concept is proposed for airlifting the emergency medical personnel without the use of a rescue helicopter (designed for patient transport) during the first line emergency services. Based on this concept, two configurations are designed and introduced, comprising a common quadrotor system with single and dual pusher propellers, respectively. An initial flight performance assessment is conducted for the introduced configurations by means of trim calculations in two distinctive flight modes across the entire designated flight speed range, initially without rotor-rotor interactions, and subsequently, with their inclusion. For this purpose, an existing mid-fidelity rotor-rotor interaction method is extended to capture the interactions in all three directions between the rotors that are arbitrarily positioned and oriented to each other. The trim calculations including rotor-rotor interactions show a 10% increase in the vehicle power at the maximum flight speed. The interactions between the pusher propellers and the lifting rotor wakes result in sudden increases up to 100% in the induced inflow of the propellers at low-speed regimes. The paper presents the two conceptual configurations along with their model syntheses and the results of the trim calculations. The influences of the rotor-rotor interactions on the trim results are discussed both at the rotor and the vehicle level.","url":"https://doi.org/10.4050/f-0081-2025-0313","authors":["Kagan Atci","Peter Weiand","Hilal Inac"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-04-10T16:56:52Z","doi":"10.4050/f-0081-2025-0313","addedAt":"2026-08-31T06:39:52.574Z","updatedAt":"2026-08-31T06:39:52.574Z"},{"id":"doi:10.1109/swc65939.2025.00153","name":"Integrative ITS Platform for Enhanced Urban Mobility in Smart Cities","source":"crossref","abstract":"","url":"https://doi.org/10.1109/swc65939.2025.00153","authors":["Mostafa Zaman","Ahmed Malik","Daniel Gubay","Aiden DeWitt","Salma Ghafouri Varzaneh","Nasibeh Zohrabi","Sherif Abdelwahed"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-02-20T21:14:29Z","doi":"10.1109/swc65939.2025.00153","addedAt":"2026-08-31T06:39:52.574Z","updatedAt":"2026-08-31T06:39:52.574Z"},{"id":"doi:10.1145/3799830.3799879","name":"Identifying Urban Air Mobility Infrastructure Hotspots in Indian Cities Using Multi-Criteria Suitability Analysis","source":"crossref","abstract":"","url":"https://doi.org/10.1145/3799830.3799879","authors":["Yamini Sharma","Yashovardhan S. Chati","Arunchandar Vasan"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-04-24T06:45:08Z","doi":"10.1145/3799830.3799879","addedAt":"2026-08-31T06:39:52.574Z","updatedAt":"2026-08-31T06:39:52.574Z"},{"id":"doi:10.1007/978-3-032-16691-3_8","name":"Urban Air Mobility; Rules of Navigation and Infrastructure","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-032-16691-3_8","authors":["Cinzia Ingratoci","Adele Marino"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-04-26T10:09:25Z","doi":"10.1007/978-3-032-16691-3_8","addedAt":"2026-08-31T06:39:52.574Z","updatedAt":"2026-08-31T06:39:52.574Z"},{"id":"doi:10.1080/21650020.2025.2501999","name":"Delivering seamless urban mobility: expert recommendations and best practices for consumer-centric Mobility-as-a-Service solutions","source":"crossref","abstract":"","url":"https://doi.org/10.1080/21650020.2025.2501999","authors":["Victoria Labajo","Stefanie Nagel"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-05-10T02:20:40Z","doi":"10.1080/21650020.2025.2501999","addedAt":"2026-08-31T06:39:52.574Z","updatedAt":"2026-08-31T06:39:52.574Z"},{"id":"doi:10.1016/j.jatrs.2025.100082","name":"Development of a generalized eVTOL vehicle cost model for Urban Air Mobility operations","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.jatrs.2025.100082","authors":["Ansgar Kirste","Eike Stumpf"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-09-13T15:51:46Z","doi":"10.1016/j.jatrs.2025.100082","addedAt":"2026-08-31T06:39:52.574Z","updatedAt":"2026-08-31T06:39:52.574Z"},{"id":"doi:10.1016/j.urbmob.2025.100108","name":"Mapping the Detroit mobility ecosystem: A case study of a regional initiative centered on future mobility solutions","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.urbmob.2025.100108","authors":["Michaela Bonnett","Teri A. Garstka","Angela Ladetto","Meaghan B. Kennedy","Jasmine Fernandez","Bernard Swiecki"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-03-01T15:49:26Z","doi":"10.1016/j.urbmob.2025.100108","addedAt":"2026-08-31T06:39:52.574Z","updatedAt":"2026-08-31T06:39:52.574Z"},{"id":"doi:10.1016/j.jairtraman.2025.102780","name":"Challenges in urban air mobility implementation: A comparative analysis of barriers in Germany and the United States","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.jairtraman.2025.102780","authors":["Mohammad Sadrani","Filippos Adamidis","Laurie A. Garrow","Constantinos Antoniou"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-04-11T01:52:18Z","doi":"10.1016/j.jairtraman.2025.102780","addedAt":"2026-08-31T06:39:52.574Z","updatedAt":"2026-08-31T06:39:52.574Z"},{"id":"doi:10.1201/9781003503262-6","name":"Social and Cultural Dimensions of Urban Human Mobility","source":"crossref","abstract":"","url":"https://doi.org/10.1201/9781003503262-6","authors":["Xiao Huang","Malene Freudendal-Pedersen"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-05-30T09:52:49Z","doi":"10.1201/9781003503262-6","addedAt":"2026-08-31T06:39:52.574Z","updatedAt":"2026-08-31T06:39:52.574Z"},{"id":"doi:10.1201/9781003503262-2","name":"Introduction to Urban Human Mobility","source":"crossref","abstract":"","url":"https://doi.org/10.1201/9781003503262-2","authors":["Xiao Huang","Xinyue Ye","Kathleen Stewart","Subasish Das"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-05-30T09:52:49Z","doi":"10.1201/9781003503262-2","addedAt":"2026-08-31T06:39:52.574Z","updatedAt":"2026-08-31T06:39:52.574Z"},{"id":"doi:10.54033/cadpedv22n9-219","name":"Urban Air Mobility e o futuro da regulação aeronáutica: propostas para o desenvolvimento de regras e formação de usuários não aviadores","source":"crossref","abstract":"O presente artigo analisa os desafios regulatórios emergentes da Mobilidade Aérea Urbana (Urban Air Mobility – UAM), com base em revisão bibliográfica e documental de fontes técnico-institucionais verificáveis. O objetivo central é discutir a formação de um marco regulatório específico que contemple, de maneira pioneira, a figura do operador civil não aviador — agente central no novo ecossistema de mobilidade aérea com aeronaves eVTOL. A análise documental fundamentou-se em diretrizes da FAA, ICAO, EASA e NASA, além de contribuições técnicas de especialistas como Ben Marcus e Andrew Charlton. Os resultados indicam que a regulação atual da aviação civil não está preparada para lidar com os aspectos operacionais, formativos e éticos da UAM, exigindo a criação de novos modelos de certificação, zonas de operação específicas e sistemas de supervisão digital. Ao final, o trabalho defende a urgência de um arcabouço regulatório flexível, interoperável e centrado no usuário civil, como condição indispensável para a viabilidade técnica e aceitação social da Mobilidade Aérea Urbana.","url":"https://doi.org/10.54033/cadpedv22n9-219","authors":["Bruno Gutieri Bordoni"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-07-16T16:01:14Z","doi":"10.54033/cadpedv22n9-219","addedAt":"2026-08-31T06:39:52.574Z","updatedAt":"2026-08-31T06:39:52.574Z"},{"id":"doi:10.1080/10630732.2025.2509333","name":"Connected Charging Stations to Govern Individual Mobility: The Contribution of Digitalized Electric Mobility Networks to Sustainable Mobility Policies in France","source":"crossref","abstract":"","url":"https://doi.org/10.1080/10630732.2025.2509333","authors":["Julia Frotey"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-09-04T18:46:50Z","doi":"10.1080/10630732.2025.2509333","addedAt":"2026-08-31T06:39:52.574Z","updatedAt":"2026-08-31T06:39:52.574Z"},{"id":"doi:10.1016/j.urbmob.2025.100169","name":"Challenges to inclusive mobility as a service: Findings from a stakeholder workshop in Lisbon","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.urbmob.2025.100169","authors":["Jadiel Tiago","André Lopes","Maria Luiza Carvalho","David Vale"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-11-20T23:44:25Z","doi":"10.1016/j.urbmob.2025.100169","addedAt":"2026-08-31T06:39:52.574Z","updatedAt":"2026-08-31T06:39:52.574Z"},{"id":"doi:10.1007/978-3-031-92115-5_15","name":"Leveraging Urban Air Mobility (UAM) for Sustainable Urban Development: A Comprehensive Analysis of Impact and Congestion Mitigation","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-031-92115-5_15","authors":["Yi Chen","Zhihao Li"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-09-26T04:16:20Z","doi":"10.1007/978-3-031-92115-5_15","addedAt":"2026-08-31T06:39:52.574Z","updatedAt":"2026-08-31T06:39:52.574Z"},{"id":"doi:10.1016/j.tranpol.2025.07.028","name":"Passengers’ vertiport choices for integrated urban air mobility and airline services","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.tranpol.2025.07.028","authors":["Ying Zhao","Yan Hu","Tao Feng","Anming Zhang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-07-18T15:36:37Z","doi":"10.1016/j.tranpol.2025.07.028","addedAt":"2026-08-31T06:39:52.574Z","updatedAt":"2026-08-31T06:39:52.574Z"},{"id":"doi:10.37075/rp.2025.3.12","name":"European Mobility Week – A Factor for the Development of Sustainable Urban Mobility","source":"crossref","abstract":"This report examines the essence of the “European Mobility Week” initiative both for the countries of the European union and for our country Bulgaria. The main goal for the development of the text is the promotion of the ecological way of moving people and the achievement of sustainable urban mobility in the small and large settlements through the implementation of mobile activities that will help to solve several problems related to the environment in today’s 21st century.","url":"https://doi.org/10.37075/rp.2025.3.12","authors":["Alexandra Dimitrova"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-08-13T10:18:02Z","doi":"10.37075/rp.2025.3.12","addedAt":"2026-08-31T06:39:52.574Z","updatedAt":"2026-08-31T06:39:52.574Z"},{"id":"doi:10.1007/978-981-97-9768-4_21","name":"Multi-Link Surveillance Design for Urban Air Mobility","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-981-97-9768-4_21","authors":["Qiang Zhang","ZhiQi Lin"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-03-17T10:31:54Z","doi":"10.1007/978-981-97-9768-4_21","addedAt":"2026-08-31T06:39:52.574Z","updatedAt":"2026-08-31T06:39:52.574Z"},{"id":"doi:10.1016/j.rtbm.2025.101444","name":"Understanding determinants of willingness to pay for airport shuttle service of urban air mobility","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.rtbm.2025.101444","authors":["Suji Kim","Jiho Yeo","Yeongmin Kwon"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-06-27T12:25:27Z","doi":"10.1016/j.rtbm.2025.101444","addedAt":"2026-08-31T06:39:52.574Z","updatedAt":"2026-08-31T06:39:52.574Z"},{"id":"doi:10.4050/f-0081-2025-0027","name":"Urban Air Mobility Passenger Discomfort Evaluations of Sudden Heave Motion in a Virtual Reality Motion-Base Simulator","source":"crossref","abstract":"Small, highly maneuverable Urban Air Mobility (UAM) air taxis might exhibit motions during hover and low-speed flight that are unfamiliar to many passengers, and for which there are no established guidelines to predict passenger comfort. Researchers performed a study in the Armstrong Virtual Reality Passenger Ride Quality Laboratory to identify relationships between sudden motion characteristics and UAM passenger comfort and acceptance. Twenty-three volunteer test subjects from the Armstrong workforce each completed a 15-minute experience as a passenger in a virtual air taxi simulation. Subjects evaluated a series of flight maneuvers with varying levels of sudden motion using a five-point rating scale and indicated which motion(s) they found uncomfortable. Researchers then administered a post-test questionnaire to relate the passengers’ ratings to their willingness to fly on a real air taxi with similar levels of motion. The study results relate peak heave acceleration and jerk to passenger acceptance.","url":"https://doi.org/10.4050/f-0081-2025-0027","authors":["Curt Hanson","Saravanakumaar Ramia","Kyle Barnes"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-04-10T16:56:52Z","doi":"10.4050/f-0081-2025-0027","addedAt":"2026-08-31T06:39:52.574Z","updatedAt":"2026-08-31T06:39:52.574Z"},{"id":"doi:10.1109/idsta66210.2025.11202794","name":"Spatiotemporal Clustering of Urban Mobility and Air Quality Hotspots","source":"crossref","abstract":"","url":"https://doi.org/10.1109/idsta66210.2025.11202794","authors":["Khawla Ahmed Alshamsi","Maryam Ali Aljallaf","Khawla Ibrahim Alzarooni","Isam Mashhour Al Jawarneh","Sebti Foufou"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-10-23T17:48:51Z","doi":"10.1109/idsta66210.2025.11202794","addedAt":"2026-08-31T06:39:52.574Z","updatedAt":"2026-08-31T06:39:52.574Z"},{"id":"doi:10.4050/f-0081-2025-0320","name":"Sensitivity Analysis of Urban Air Mobility Aircraft Landing Trajectory Deviation to Microscale Wind Disturbances","source":"crossref","abstract":"Urban Air Mobility (UAM) aircraft are highly susceptible to turbulent wind disturbances when operating near buildings in complex urban environments. Microscale wind phenomena, combined with the unconventional designs of UAM aircraft, increase the risk of performance deviation, the overall duration, and the cost of flight tests for certification. A way to overcome this would be through simulation-based flight tests. Therefore, this study simulates a UAM aircraft landing vertically behind an isolated tall building, considering four different wind scenarios: no wind, uniform wind fields at low and high spatial resolutions (assumed constant across the airframe), and non-uniform fields with spatially varying velocity profiles at individual rotor hubs. The resultant flight test data are then used to quantify the impact of microscale wind characteristics on landing performance by systematically analyzing the rotor performance, aerodynamics, control response, and trajectory deviation.","url":"https://doi.org/10.4050/f-0081-2025-0320","authors":["Nithya D S","Giuseppe Quaranta","Vincenzo Muscarello","Man Liang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-04-10T16:56:52Z","doi":"10.4050/f-0081-2025-0320","addedAt":"2026-08-31T06:39:52.574Z","updatedAt":"2026-08-31T06:39:52.574Z"},{"id":"doi:10.2307/jj.28833769.15","name":"Singapore","source":"crossref","abstract":"","url":"https://doi.org/10.2307/jj.28833769.15","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-11-12T20:21:37Z","doi":"10.2307/jj.28833769.15","addedAt":"2026-08-31T06:39:52.574Z","updatedAt":"2026-08-31T06:39:52.574Z"},{"id":"doi:10.2307/jj.28833769.17","name":"Houten","source":"crossref","abstract":"","url":"https://doi.org/10.2307/jj.28833769.17","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-11-12T20:21:37Z","doi":"10.2307/jj.28833769.17","addedAt":"2026-08-31T06:39:52.574Z","updatedAt":"2026-08-31T06:39:52.574Z"},{"id":"doi:10.2307/jj.28833769.23","name":"Utrecht","source":"crossref","abstract":"","url":"https://doi.org/10.2307/jj.28833769.23","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-11-12T20:21:37Z","doi":"10.2307/jj.28833769.23","addedAt":"2026-08-31T06:39:52.574Z","updatedAt":"2026-08-31T06:39:52.574Z"},{"id":"doi:10.1016/j.urbmob.2025.100099","name":"Towards gender-responsive transport planning: A case study of suburban passenger travel","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.urbmob.2025.100099","authors":["Yurii Davidich","Andrii Galkin"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-01-10T19:41:22Z","doi":"10.1016/j.urbmob.2025.100099","addedAt":"2026-08-31T06:39:52.574Z","updatedAt":"2026-08-31T06:39:52.574Z"},{"id":"doi:10.2307/jj.28833769.11","name":"Plymouth","source":"crossref","abstract":"","url":"https://doi.org/10.2307/jj.28833769.11","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-11-12T20:21:37Z","doi":"10.2307/jj.28833769.11","addedAt":"2026-08-31T06:39:52.574Z","updatedAt":"2026-08-31T06:39:52.574Z"},{"id":"doi:10.2307/jj.28833769.38","name":"Index","source":"crossref","abstract":"","url":"https://doi.org/10.2307/jj.28833769.38","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-11-12T20:21:37Z","doi":"10.2307/jj.28833769.38","addedAt":"2026-08-31T06:39:52.574Z","updatedAt":"2026-08-31T06:39:52.574Z"},{"id":"doi:10.1016/j.commtr.2025.100230","name":"Quantitative assessment of mid-air collision probability in urban air mobility: A safety barrier-based framework for integrated operations","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.commtr.2025.100230","authors":["Jinpeng Zhang","Yan Xu","Kaiquan Cai","Victor Gordo","Gokhan Inalhan"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-12-05T21:06:04Z","doi":"10.1016/j.commtr.2025.100230","addedAt":"2026-08-31T06:39:52.574Z","updatedAt":"2026-08-31T06:39:52.574Z"},{"id":"doi:10.1201/9781003503262-25","name":"Sustainability Implications of Digital Twins for Urban Mobility","source":"crossref","abstract":"","url":"https://doi.org/10.1201/9781003503262-25","authors":["Mahdi Aghaabbasi","Soheil Sabri","Xinyue Ye"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-05-30T05:52:49Z","doi":"10.1201/9781003503262-25","addedAt":"2026-08-31T06:39:52.574Z","updatedAt":"2026-08-31T06:39:52.574Z"},{"id":"doi:10.1016/j.urbmob.2025.100158","name":"A systematic review of regression models for street vitality","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.urbmob.2025.100158","authors":["Anastasiia Galaktionova","Aura-Luciana Istrate","Páraic Carroll"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-11-20T23:44:25Z","doi":"10.1016/j.urbmob.2025.100158","addedAt":"2026-08-31T06:39:52.574Z","updatedAt":"2026-08-31T06:39:57.284Z"},{"id":"doi:10.2307/jj.28833769.28","name":"Shenzhen","source":"crossref","abstract":"","url":"https://doi.org/10.2307/jj.28833769.28","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-11-12T20:21:37Z","doi":"10.2307/jj.28833769.28","addedAt":"2026-08-31T06:39:52.574Z","updatedAt":"2026-08-31T06:39:52.574Z"},{"id":"doi:10.2307/jj.28833769.37","name":"References","source":"crossref","abstract":"","url":"https://doi.org/10.2307/jj.28833769.37","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-11-12T20:21:37Z","doi":"10.2307/jj.28833769.37","addedAt":"2026-08-31T06:39:52.574Z","updatedAt":"2026-08-31T06:39:52.574Z"},{"id":"doi:10.4018/979-8-3373-0882-1.ch005","name":"Urban Mobility Solutions as a Sociotechnical System","source":"crossref","abstract":"The efficiency of urban mobility systems significantly depends on the following factors: what technical and technological solutions are used in the system, how the interaction of all system participants is organized and what is the main motivation of the system users. This means that when analyzing urban mobility systems, it is necessary to use a socio-technical approach. The work is based on cases of integrating sustainable transport solutions of Peter the Great St. Petersburg Polytechnic University (SPbPU) into the urban transport system of St. Petersburg. Following the socio-technical approach, the chapter presents the results of the analysis of the technical and technological subsystem of the corporate transport system with an emphasis on the infrastructure necessary to support various innovative solutions in the transport sector.","url":"https://doi.org/10.4018/979-8-3373-0882-1.ch005","authors":["Yury Rifcatovich Nurulin","Inga Skvortsova","Tatyana Zorina"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-07-31T13:27:13Z","doi":"10.4018/979-8-3373-0882-1.ch005","addedAt":"2026-08-31T06:39:52.574Z","updatedAt":"2026-08-31T06:39:52.574Z"},{"id":"doi:10.2307/jj.28833769.19","name":"Chongqing","source":"crossref","abstract":"","url":"https://doi.org/10.2307/jj.28833769.19","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-11-12T20:21:37Z","doi":"10.2307/jj.28833769.19","addedAt":"2026-08-31T06:39:52.574Z","updatedAt":"2026-08-31T06:39:52.574Z"},{"id":"doi:10.2307/jj.28833769.35","name":"Portland","source":"crossref","abstract":"","url":"https://doi.org/10.2307/jj.28833769.35","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-11-12T20:21:37Z","doi":"10.2307/jj.28833769.35","addedAt":"2026-08-31T06:39:52.574Z","updatedAt":"2026-08-31T06:39:52.574Z"},{"id":"doi:10.2307/jj.28833769.7","name":"Acknowledgements","source":"crossref","abstract":"","url":"https://doi.org/10.2307/jj.28833769.7","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-11-12T20:21:37Z","doi":"10.2307/jj.28833769.7","addedAt":"2026-08-31T06:39:52.574Z","updatedAt":"2026-08-31T06:39:52.574Z"},{"id":"doi:10.2307/jj.28833769.14","name":"Freiburg","source":"crossref","abstract":"","url":"https://doi.org/10.2307/jj.28833769.14","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-11-12T20:21:37Z","doi":"10.2307/jj.28833769.14","addedAt":"2026-08-31T06:39:52.574Z","updatedAt":"2026-08-31T06:39:52.574Z"},{"id":"doi:10.2307/jj.28833769.13","name":"Oxford","source":"crossref","abstract":"","url":"https://doi.org/10.2307/jj.28833769.13","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-11-12T20:21:37Z","doi":"10.2307/jj.28833769.13","addedAt":"2026-08-31T06:39:52.574Z","updatedAt":"2026-08-31T06:39:52.574Z"},{"id":"doi:10.1201/9781003503262-9","name":"Data Governance Policies for Human-Centric Urban Mobility Services in Smart Cities","source":"crossref","abstract":"","url":"https://doi.org/10.1201/9781003503262-9","authors":["Bokolo Anthony"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-05-30T09:52:49Z","doi":"10.1201/9781003503262-9","addedAt":"2026-08-31T06:39:52.574Z","updatedAt":"2026-08-31T06:39:52.574Z"},{"id":"doi:10.2307/jj.28833769.31","name":"Valenciennes","source":"crossref","abstract":"","url":"https://doi.org/10.2307/jj.28833769.31","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-11-12T20:21:37Z","doi":"10.2307/jj.28833769.31","addedAt":"2026-08-31T06:39:52.574Z","updatedAt":"2026-08-31T06:39:52.574Z"},{"id":"doi:10.2307/jj.28833769.24","name":"Copenhagen","source":"crossref","abstract":"","url":"https://doi.org/10.2307/jj.28833769.24","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-11-12T20:21:37Z","doi":"10.2307/jj.28833769.24","addedAt":"2026-08-31T06:39:52.574Z","updatedAt":"2026-08-31T06:39:52.574Z"},{"id":"doi:10.2307/jj.28833769.6","name":"Preface","source":"crossref","abstract":"","url":"https://doi.org/10.2307/jj.28833769.6","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-11-12T20:21:37Z","doi":"10.2307/jj.28833769.6","addedAt":"2026-08-31T06:39:52.574Z","updatedAt":"2026-08-31T06:39:52.574Z"},{"id":"doi:10.2307/jj.28833769.27","name":"Delhi","source":"crossref","abstract":"","url":"https://doi.org/10.2307/jj.28833769.27","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-11-12T20:21:37Z","doi":"10.2307/jj.28833769.27","addedAt":"2026-08-31T06:39:52.574Z","updatedAt":"2026-08-31T06:39:52.574Z"},{"id":"doi:10.2307/jj.28833769.32","name":"Medellín","source":"crossref","abstract":"","url":"https://doi.org/10.2307/jj.28833769.32","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-11-12T20:21:37Z","doi":"10.2307/jj.28833769.32","addedAt":"2026-08-31T06:39:52.574Z","updatedAt":"2026-08-31T06:39:52.574Z"},{"id":"doi:10.2307/jj.28833769.25","name":"Malmö","source":"crossref","abstract":"","url":"https://doi.org/10.2307/jj.28833769.25","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-11-12T20:21:37Z","doi":"10.2307/jj.28833769.25","addedAt":"2026-08-31T06:39:52.574Z","updatedAt":"2026-08-31T06:39:52.574Z"},{"id":"doi:10.2307/jj.28833769.30","name":"Manchester","source":"crossref","abstract":"","url":"https://doi.org/10.2307/jj.28833769.30","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-11-12T20:21:37Z","doi":"10.2307/jj.28833769.30","addedAt":"2026-08-31T06:39:52.574Z","updatedAt":"2026-08-31T06:39:52.574Z"},{"id":"doi:10.2307/jj.28833769.16","name":"Bogotá","source":"crossref","abstract":"","url":"https://doi.org/10.2307/jj.28833769.16","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-11-12T20:21:37Z","doi":"10.2307/jj.28833769.16","addedAt":"2026-08-31T06:39:52.574Z","updatedAt":"2026-08-31T06:39:52.574Z"},{"id":"doi:10.1186/s12544-024-00700-x","name":"Urban Air Mobility demand forecasting: modeling evidence from the case study of Milan (Italy)","source":"crossref","abstract":"Abstract This paper presents the results of a demand forecasting study about the introduction of Urban Air Mobility (UAM) services in the metropolitan area of Milan (Italy). Demand forecasting is based on random utility mode choice models, which include factors related to the individuals’ perception of vertical take-off/landing and low altitude flying over urbanized areas. The use cases of UAM services include airport shuttles, intercity air connections, and “air-taxis”, i.e., UAM services for short-trips within the metropolitan area. Several scenarios have been considered based on the number of access points (“vertiports”) and UAM fare levels. The results indicate that airport shuttles have a modal share of trips to/from airports (for both business and leisure) in a range of 2-5%. They resulted to be more attractive than air-taxis, which have a modal share in a range of 1-3%. Furthermore, the probability of choosing UAM services for intercity travels decreases with the distance and the time required for access/egress to/from the vertiports, whose catchment areas are dependent on the level of service provided by competing modes (notably the presence of good railway and highway connections).","url":"https://doi.org/10.1186/s12544-024-00700-x","authors":["Pierluigi Coppola","Francesco De Fabiis","Fulvio Silvestri"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-01-13T07:28:30Z","doi":"10.1186/s12544-024-00700-x","addedAt":"2026-08-31T06:39:52.574Z","updatedAt":"2026-08-31T06:39:56.013Z"},{"id":"doi:10.33548/scientia1159","name":"Advanced Air Mobility National Campaign: Bridging the Gap","source":"crossref","abstract":"","url":"https://doi.org/10.33548/scientia1159","authors":["Kamesh Namuduri","Keven Gambold"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-04-03T14:14:23Z","doi":"10.33548/scientia1159","addedAt":"2026-08-31T06:39:52.574Z","updatedAt":"2026-08-31T06:39:52.574Z"},{"id":"doi:10.1007/s10479-023-05714-7","name":"The urban air mobility problem","source":"crossref","abstract":"","url":"https://doi.org/10.1007/s10479-023-05714-7","authors":["Bruce Golden","Eric Oden","S. Raghavan"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-12-25T21:01:54Z","doi":"10.1007/s10479-023-05714-7","addedAt":"2026-08-31T06:39:52.574Z","updatedAt":"2026-08-31T06:39:52.574Z"},{"id":"doi:10.3390/en18185006","name":"Electro-Thermal Analysis of Lithium-Ion Battery Modules Equipped with Thermal Barrier Pad for Urban Air Mobility During Flight Scenarios","source":"crossref","abstract":"This study presents an electro-thermal analysis of high-power lithium-ion battery modules for urban air mobility (UAM) applications, focusing on assessing the operational impact of installing a thermal barrier pad (TBP)—designed for thermal runaway delay—to ensure that the module maintains acceptable performance during normal operations. An integrated electro-thermal simulation model was developed and validated through single-cell experiments under step-load conditions, showing good agreement with measured voltage and temperature. In the baseline module without a TBP, higher discharge rates resulted in increased heat generation and cell temperatures, with approximately 42.5% of the electrical output dissipated as heat under the 5C condition. When the TBP was applied, the cooling performance of the heat sink decreased, leading to higher module temperatures and increased temperature differences between the cell and the heat sink, particularly as the TBP thickness increased. A simplified UAM flight scenario was simulated to evaluate temperature behavior throughout various operating phases. For the 1.5 mm TBP model, the maximum temperature (75.7 °C) remained within the design limit (80 °C). However, increasing the maximum take-off discharge rate to 6C or higher caused the module to reach its thermal limit or cut-off voltage before mission completion. These results indicate that TBP installation can be applied without unacceptable performance degradation under normal operation, provided that its thickness is optimized by considering cooling performance, thermal safety, and weight/volume constraints in UAM applications.","url":"https://doi.org/10.3390/en18185006","authors":["Geesoo Lee"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-09-22T11:18:16Z","doi":"10.3390/en18185006","addedAt":"2026-08-31T06:39:52.574Z","updatedAt":"2026-08-31T06:39:52.574Z"},{"id":"doi:10.61782/fa.2025.0039","name":"A Study Of Urban Air Mobility Rotor Noise At Moderate Reynolds Numbers With Collective Pitch Control","source":"crossref","abstract":"","url":"https://doi.org/10.61782/fa.2025.0039","authors":["Charles Tinney","John Valdez","Yingjun Zhao-Dubuc"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-12-26T07:16:33Z","doi":"10.61782/fa.2025.0039","addedAt":"2026-08-31T06:39:52.574Z","updatedAt":"2026-08-31T06:39:52.574Z"},{"id":"doi:10.1109/hri61500.2025.10973993","name":"UAM-SUMO: Simulacra of Urban Air Mobility Using SUMO to Study Large-Scale Effects","source":"crossref","abstract":"","url":"https://doi.org/10.1109/hri61500.2025.10973993","authors":["Mark Colley","Julian Czymmeck","Pascal Jansen","Luca-Maxim Meinhardt","Patrick Ebel","Enrico Rukzio"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-05-12T17:38:30Z","doi":"10.1109/hri61500.2025.10973993","addedAt":"2026-08-31T06:39:52.574Z","updatedAt":"2026-08-31T06:39:52.574Z"},{"id":"doi:10.1109/iitcee64140.2025.10915325","name":"Evaluation of UAV Path Planning Approaches for Urban Air Mobility","source":"crossref","abstract":"","url":"https://doi.org/10.1109/iitcee64140.2025.10915325","authors":["Tanzeem Pasha","Shri Hari M","Shreeram K R","Bhuvana Suganthi D","Jyoti Raghavendra Munavalli"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-03-14T17:45:50Z","doi":"10.1109/iitcee64140.2025.10915325","addedAt":"2026-08-31T06:39:52.574Z","updatedAt":"2026-08-31T06:39:52.574Z"},{"id":"doi:10.1016/j.est.2025.117128","name":"A robust adaptive battery state of charge estimation based on integrated Luenberger observer: An investigation for electric urban air mobility application","source":"openalex","abstract":"Since the development of electric vertical take-off and landing (eVTOL) aircraft plays an important role in the realization of zero-emission urban air transportation (UAT), it has become the subject of much recent research. In the development of eVTOLs' battery power source, accuracy of the state of charge (SoC) estimation is a key challenge that has a direct effect on their flight performance and safety. This accuracy is affected by destructive factors including system nonlinearities and uncertainties, measurement noises and disturbances or even faults. This paper tackles these issues by introducing an innovative integrated Luenberger observer (ILO) which gathers the benefits of robust and adaptive observers to effectively estimate the SoC based on the prediction and rejection of the above-mentioned factors' effects. First, the uncertainties and nonlinearities together with the measurement faults are treated as an additional unwanted term to the battery model. As the battery has a low inertia, this term is considered to satisfy the Lipschitz condition , and the rate of their variation is considered limited. Then, to estimate the unwanted term and eliminate its effect on the SoC estimation, a mediating variable is designed to function as an augmented variable to the state space model of the battery. Based on the augmented model of the battery, a distinguished structure for the observer is introduced, and its gain is defined in such a way that the coupling term in the obtained estimation error dynamics is eliminated. In this way, the conservatism of the stability proof is reduced. After that, based on Lyapunov theory, the stability problem of the proposed observer is transformed into a linear matrix inequality (LMI) problem to be solved for the derivation of the control parameters. The effectiveness of the proposed observer is verified through real-time experiments of fresh and aged 2.4 Ah Li-ion battery cells under two test scenarios including hybrid pulse power characterization (HPPC) and an eVTOL flight demanded power profile. The results confirm the superiority of the proposed observer compared to a state-of-the-art robust and adaptive observer.","url":"https://doi.org/10.1016/j.est.2025.117128","authors":["Omid Rezaei","Quang Truong Dinh","Dinh Quang Truong"],"tags":["Battery (electricity)","State of charge","Observer (physics)","State observer","State (computer science)"],"confidence":0.72,"sites":["low-altitude"],"publishedDate":"2025-06-02","doi":"10.1016/j.est.2025.117128","addedAt":"2026-08-31T06:39:52.574Z","updatedAt":"2026-08-31T14:45:35.251Z"},{"id":"doi:10.1016/j.urbmob.2025.100122","name":"Analyzing young people’s behavioral intention on using demand-responsive transportation and ride-matching apps","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.urbmob.2025.100122","authors":["Christos Gkartzonikas","Loukas Dimitriou","Filippos Alogdianakis"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-05-01T05:29:35Z","doi":"10.1016/j.urbmob.2025.100122","addedAt":"2026-08-31T06:39:52.574Z","updatedAt":"2026-08-31T06:39:52.574Z"},{"id":"doi:10.1016/j.urbmob.2025.100126","name":"Predicting active travel durations in Tehran: A multilayer perceptron approach","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.urbmob.2025.100126","authors":["Meysam Rezaei","Ali Soltani","Hamed Najafi Kashkooli"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-05-28T05:13:54Z","doi":"10.1016/j.urbmob.2025.100126","addedAt":"2026-08-31T06:39:52.574Z","updatedAt":"2026-08-31T06:39:52.574Z"},{"id":"doi:10.1109/icns65417.2025.10976761","name":"Cooperative Navigation for Urban Air Mobility Utilizing Ad-hoc Communications - An Analysis of Feasibility and Algorithmic Characteristics Using the Example of DroneCAST","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icns65417.2025.10976761","authors":["Jan Patrick Gerhards","Lukas Marcel Schalk","Dennis Becker"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-05-06T17:01:56Z","doi":"10.1109/icns65417.2025.10976761","addedAt":"2026-08-31T06:39:52.574Z","updatedAt":"2026-08-31T06:39:52.574Z"},{"id":"doi:10.1016/j.urbmob.2025.100125","name":"Telework and commuting patterns. An empirical study of workers in Flanders, Belgium","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.urbmob.2025.100125","authors":["Jente Versigghel","Jonas De Vos","Frank Witlox"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-05-11T05:33:19Z","doi":"10.1016/j.urbmob.2025.100125","addedAt":"2026-08-31T06:39:52.574Z","updatedAt":"2026-08-31T06:39:52.574Z"},{"id":"doi:10.2307/jj.28833769.34","name":"London, LTN21","source":"crossref","abstract":"","url":"https://doi.org/10.2307/jj.28833769.34","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-11-12T20:21:37Z","doi":"10.2307/jj.28833769.34","addedAt":"2026-08-31T06:39:52.574Z","updatedAt":"2026-08-31T06:39:52.574Z"},{"id":"doi:10.2307/jj.28833769.1","name":"Front Matter","source":"crossref","abstract":"","url":"https://doi.org/10.2307/jj.28833769.1","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-11-12T20:21:37Z","doi":"10.2307/jj.28833769.1","addedAt":"2026-08-31T06:39:52.574Z","updatedAt":"2026-08-31T06:39:52.574Z"},{"id":"doi:10.2139/ssrn.5955950","name":"Health-Centred Urban Regeneration: Embedding Real-Time Air Quality Data and Personal Exposure Analytics in Mobility and Policy Planning in England","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.5955950","authors":["William Hicks","Louise Thomas","Sacha Manson-Smith","Dan Harris","Yiqun Han","Adrian Hooper"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-12-23T02:39:46Z","doi":"10.2139/ssrn.5955950","addedAt":"2026-08-31T06:39:52.574Z","updatedAt":"2026-08-31T06:39:54.184Z"},{"id":"doi:10.2307/jj.28833769.39","name":"Back Matter","source":"crossref","abstract":"","url":"https://doi.org/10.2307/jj.28833769.39","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-11-12T20:21:37Z","doi":"10.2307/jj.28833769.39","addedAt":"2026-08-31T06:39:52.574Z","updatedAt":"2026-08-31T06:39:52.574Z"},{"id":"doi:10.1201/9781003605676","name":"Autonomous Urban Mobility","source":"crossref","abstract":"","url":"https://doi.org/10.1201/9781003605676","authors":["Tan Yigitcanlar"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-06-18T13:33:23Z","doi":"10.1201/9781003605676","addedAt":"2026-08-31T06:39:52.574Z","updatedAt":"2026-08-31T06:39:52.574Z"},{"id":"doi:10.48550/arxiv.2510.18235","name":"Urban Air Mobility: A Review of Recent Advances in Communication, Management, and Sustainability","source":"datacite","abstract":"Urban Air Mobility (UAM) offers a transformative approach to addressing urban congestion, improving accessibility, and advancing environmental sustainability. Rapid progress has emerged in three tightly linked domains since 2020: (1) Communication, where dynamic spectrum allocation and low-altitude channel characterization support reliable air-ground data exchange; (2) UAM management, with novel air-traffic control concepts for dense, largely autonomous urban airspace; and (3) Sustainability, driven by energy-efficient propulsion, integrated charging infrastructure, and holistic environmental assessment. This paper reviews and synthesizes the latest research across these areas, compares the state-of-the-art solutions, and outlines the technological and infrastructural milestones that are critical to realizing a scalable, sustainable UAM ecosystem.","url":"https://doi.org/10.48550/arxiv.2510.18235","authors":["He, Zhitong","Wang, Zijing","Li, Lingxi"],"tags":["Systems and Control (eess.SY)","FOS: Electrical engineering, electronic engineering, information engineering"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.48550/arxiv.2510.18235","addedAt":"2026-08-31T06:39:52.575Z","updatedAt":"2026-08-31T06:39:57.285Z"},{"id":"doi:10.5281/zenodo.17322378","name":"\"ELECTRIC VEHICLE ADOPTION AND INFRASTRUCTURE DEVELOPMENT IN KARNATAKA: TRENDS, CHALLENGES, AND POLICY IMPLICATIONS\"","source":"datacite","abstract":"Electric mobility has emerged as one of the most promising solutions for reducing carbon emissions, dependence on fossil fuels, and urban air pollution. Karnataka has positioned itself as a pioneer in electric vehicle (EV) adoption by becoming the first Indian state to launch a dedicated EV and Energy Storage Policy in 2017. This study evaluates the state’s EV ecosystem between 2015 and 2025, examining adoption patterns across two-wheelers, cars, and buses, alongside developments in charging infrastructure and policy frameworks. Data is sourced from government reports, NITI Aayog, Society of Indian Automobile Manufacturers (SIAM), and media publications. The analysis reveals robust growth in EV cars and buses, though two-wheeler adoption has slowed since 2023 due to safety concerns and limited consumer confidence. Karnataka has also deployed one of India’s largest charging networks, although private sector participation remains inconsistent. The study’s implications highlight the need for Karnataka to strengthen public–private partnerships, incentivize rural adoption, and address consumer trust in two-wheeler EVs. Findings suggest that strategic alignment between state and central policies is crucial for Karnataka to sustain its leadership role in India’s green mobility transition.","url":"https://doi.org/10.5281/zenodo.17322378","authors":["Fathima Zehra"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.17322378","addedAt":"2026-08-31T06:39:52.575Z","updatedAt":"2026-08-31T06:39:52.575Z"},{"id":"doi:10.5281/zenodo.17322377","name":"\"ELECTRIC VEHICLE ADOPTION AND INFRASTRUCTURE DEVELOPMENT IN KARNATAKA: TRENDS, CHALLENGES, AND POLICY IMPLICATIONS\"","source":"datacite","abstract":"Electric mobility has emerged as one of the most promising solutions for reducing carbon emissions, dependence on fossil fuels, and urban air pollution. Karnataka has positioned itself as a pioneer in electric vehicle (EV) adoption by becoming the first Indian state to launch a dedicated EV and Energy Storage Policy in 2017. This study evaluates the state’s EV ecosystem between 2015 and 2025, examining adoption patterns across two-wheelers, cars, and buses, alongside developments in charging infrastructure and policy frameworks. Data is sourced from government reports, NITI Aayog, Society of Indian Automobile Manufacturers (SIAM), and media publications. The analysis reveals robust growth in EV cars and buses, though two-wheeler adoption has slowed since 2023 due to safety concerns and limited consumer confidence. Karnataka has also deployed one of India’s largest charging networks, although private sector participation remains inconsistent. The study’s implications highlight the need for Karnataka to strengthen public–private partnerships, incentivize rural adoption, and address consumer trust in two-wheeler EVs. Findings suggest that strategic alignment between state and central policies is crucial for Karnataka to sustain its leadership role in India’s green mobility transition.","url":"https://doi.org/10.5281/zenodo.17322377","authors":["Fathima Zehra"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.17322377","addedAt":"2026-08-31T06:39:52.575Z","updatedAt":"2026-08-31T06:39:52.575Z"},{"id":"doi:10.5281/zenodo.17208796","name":"تفسیر روش‌شناختی بر مقاله \"سهم نسبی منابع متحرک در انتشار آلاینده‌های هوا در تهران\": فراخوانی برای جامعیت زمانی و منابع","source":"datacite","abstract":"تفسیر روش‌شناختی بر مقاله \"سهم نسبی منابع متحرک در انتشار آلاینده‌های هوا در تهران\": فراخوانی برای جامعیت زمانی و منابع نویسنده: مصطفی قلاوند چکیده پیش‌زمینه: سیاهه‌های انتشار (Emission Inventories) دقیق، سنگ بنای مدیریت کیفیت هوای شهری هستند. مقاله \"سهم نسبی منابع متحرک در انتشار آلاینده‌های هوا در تهران، ایران: یک رویکرد سیاهه انتشار\" تلاشی مهم برای کمی‌سازی این منابع در یک کلان‌شهر بزرگ است. این تفسیر، یک ارزیابی نقادانه بر چارچوب روش‌شناختی و آماری آن مقاله ارائه می‌دهد. متن اصلی: تحلیل حاضر چهار محدودیت ساختاری عمده را در مقاله مذکور شناسایی می‌کند که اعتبار کمی و قابلیت اتکای نتایج آن را برای سیاست‌گذاری تضعیف می‌نماید. اولین و اساسی‌ترین نقص، محدود کردن کل تحلیل به یک بازه زمانی تک‌ساعته (۷:۳۰ تا ۸:۳۰ صبح) است که منجر به کم‌برآوردی سیستماتیک سهم وسایل نقلیه سنگین و تحریف سهم‌های نسبی آلاینده‌ها می‌شود. دوم، مطالعه به طور کامل انتشار غیر اگزوزی (Non-Exhaust Emissions) ناشی از سایش ترمز و تایر را نادیده گرفته است که امروزه منبع غالب ذرات معلق (PM) ناشی از ترافیک محسوب می‌شود. سوم، مقاله به مدل‌های ترافیک و انتشار به عنوان \"جعبه سیاه\" نگریسته و شفافیت کافی در مورد فرآیندهای کالیبراسیون و اعتبارسنجی آن‌ها ارائه نمی‌دهد. در نهایت، فقدان کامل تحلیل عدم قطعیت و ارائه نتایج به صورت تخمین‌های نقطه‌ای قطعی، تصویری گمراه‌کننده از دقت مطالعه ایجاد می‌کند و با استانداردهای علمی مدرن در مدل‌سازی محیطی مغایرت دارد. نتیجه‌گیری: مقاله شهبازی و همکاران (۲۰۱۶) بیشتر به عنوان یک مطالعه موردی روش‌شناختی که چالش‌های مدل‌سازی در یک کشور در حال توسعه را برجسته می‌کند، ارزشمند است تا یک منبع کمی قابل اعتماد. این تفسیر نتیجه می‌گیرد که برای سیاست‌گذاری مؤثر، سیاهه‌های انتشار آینده باید جامعیت زمانی (پوشش ۲۴ ساعته)، جامعیت منابع (شامل کردن انتشار غیر اگزوزی) و شفافیت آماری (کالیبراسیون دقیق و تحلیل عدم قطعیت) را در اولویت قرار دهند. کلیدواژگان: سیاهه انتشار، آلودگی هوا، منابع متحرک، مدل IVE، نقد روش‌شناختی، انتشار غیر اگزوزی، تحلیل عدم قطعیت، تهران. سهم در ادبیات علمی این تفسیر بر اهمیت حیاتی و غیرقابل چشم‌پوشی تفکیک‌پذیری زمانی ۲۴ ساعته در سیاهه‌های انتشار شهری تأکید می‌کند و نشان می‌دهد که چگونه تحلیل‌های تک‌ساعته می‌توانند نتایجی با تورش سیستماتیک و گمراه‌کننده تولید کنند. این مقاله لزوم گنجاندن منابع انتشار غیر اگزوزی (NEE) برای تدوین یک سیاهه انتشار دقیق برای ذرات معلق (PM) را برجسته می‌سازد؛ منبعی که اغلب در مطالعات کشورهای در حال توسعه نادیده گرفته می‌شود. این نقد بر الزام علمی برای کالیبراسیون شفاف مدل‌ها و تحلیل عدم قطعیت دقیق در مدل‌سازی محیطی تأکید می‌کند تا اعتبار علمی و قابلیت اتکای نتایج برای سیاست‌گذاری تضمین شود. پیش‌زمینه سیاهه‌های انتشار دقیق، جامع و به‌روز، ابزارهای بنیادین برای درک منابع آلودگی هوا و طراحی استراتژی‌های کنترلی مؤثر در کلان‌شهرها هستند.1 مقاله \"سهم نسبی منابع متحرک در انتشار آلاینده‌های هوا در تهران، ایران: یک رویکرد سیاهه انتشار\" (از این پس \"مقاله اصلی\" نامیده می‌شود) 2، تلاشی قابل توجه برای پر کردن یک شکاف اطلاعاتی مهم در یکی از آلوده‌ترین شهرهای جهان است. نویسندگان با استفاده از مدل‌های استاندارد ترافیک (EMME/2) و انتشار (IVE)، یک سیاهه انتشار مبتنی بر لینک برای آلاینده‌های کلیدی ناشی از وسایل نقلیه در تهران تهیه کرده‌اند. هدف اعلام‌شده آن‌ها، تعیین \"سهم نسبی\" منابع مختلف متحرک است تا به سیاست‌گذاران در تدوین راهبردهای کاهش آلودگی کمک کند.2 با وجود نیت ارزشمند و استفاده از ابزارهای استاندارد، این تفسیر استدلال می‌کند که مجموعه‌ای از انتخاب‌های روش‌شناختی و حذفیات آماری، اعتبار نتایج کمی مقاله اصلی را به شدت تضعیف کرده و استفاده از آن را به عنوان مبنایی برای سیاست‌گذاری علمی، غیرقابل اتکا می‌سازد. این تفسیر به جای به چالش کشیدن یافته‌های خاص، بر چهار ستون اصلی از محدودیت‌های ساختاری تمرکز دارد که در مجموع، مانع از دستیابی مقاله به هدف اعلام‌شده خود یعنی ارائه یک تصویر \"جامع\" از انتشار آلاینده‌ها می‌شوند.2 متن اصلی مغالطه \"عکس فوری\": خطای بحرانی دامنه زمانی تک‌ساعته اساسی‌ترین ضعف مقاله اصلی، محدود کردن کل تحلیل به یک بازه زمانی یک ساعته در اوج ترافیک صبحگاهی (۷:۳۰ تا ۸:۳۰) است.2 این انتخاب طراحی، مطالعه را از یک سیاهه انتشار نماینده به یک \"عکس فوری\" (Snapshot) غیرنماینده از شرایط روزانه تبدیل می‌کند. الگوهای ترافیک شهری به شدت در طول یک چرخه ۲۴ ساعته متغیر هستند.3 ترافیک خودروهای سواری معمولاً دارای دو قله در ","url":"https://doi.org/10.5281/zenodo.17208796","authors":["Qalavand, Mostafa"],"tags":["سیاهه انتشار","آلودگی هوا","منابع متحرک","مدل IVE","نقد روش‌شناختی","انتشار غیر اگزوزی","تحلیل عدم قطعیت","تهران"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.17208796","addedAt":"2026-08-31T06:39:52.575Z","updatedAt":"2026-08-31T06:39:57.285Z"},{"id":"doi:10.5281/zenodo.17208797","name":"تفسیر روش‌شناختی بر مقاله \"سهم نسبی منابع متحرک در انتشار آلاینده‌های هوا در تهران\": فراخوانی برای جامعیت زمانی و منابع","source":"datacite","abstract":"تفسیر روش‌شناختی بر مقاله \"سهم نسبی منابع متحرک در انتشار آلاینده‌های هوا در تهران\": فراخوانی برای جامعیت زمانی و منابع نویسنده: مصطفی قلاوند چکیده پیش‌زمینه: سیاهه‌های انتشار (Emission Inventories) دقیق، سنگ بنای مدیریت کیفیت هوای شهری هستند. مقاله \"سهم نسبی منابع متحرک در انتشار آلاینده‌های هوا در تهران، ایران: یک رویکرد سیاهه انتشار\" تلاشی مهم برای کمی‌سازی این منابع در یک کلان‌شهر بزرگ است. این تفسیر، یک ارزیابی نقادانه بر چارچوب روش‌شناختی و آماری آن مقاله ارائه می‌دهد. متن اصلی: تحلیل حاضر چهار محدودیت ساختاری عمده را در مقاله مذکور شناسایی می‌کند که اعتبار کمی و قابلیت اتکای نتایج آن را برای سیاست‌گذاری تضعیف می‌نماید. اولین و اساسی‌ترین نقص، محدود کردن کل تحلیل به یک بازه زمانی تک‌ساعته (۷:۳۰ تا ۸:۳۰ صبح) است که منجر به کم‌برآوردی سیستماتیک سهم وسایل نقلیه سنگین و تحریف سهم‌های نسبی آلاینده‌ها می‌شود. دوم، مطالعه به طور کامل انتشار غیر اگزوزی (Non-Exhaust Emissions) ناشی از سایش ترمز و تایر را نادیده گرفته است که امروزه منبع غالب ذرات معلق (PM) ناشی از ترافیک محسوب می‌شود. سوم، مقاله به مدل‌های ترافیک و انتشار به عنوان \"جعبه سیاه\" نگریسته و شفافیت کافی در مورد فرآیندهای کالیبراسیون و اعتبارسنجی آن‌ها ارائه نمی‌دهد. در نهایت، فقدان کامل تحلیل عدم قطعیت و ارائه نتایج به صورت تخمین‌های نقطه‌ای قطعی، تصویری گمراه‌کننده از دقت مطالعه ایجاد می‌کند و با استانداردهای علمی مدرن در مدل‌سازی محیطی مغایرت دارد. نتیجه‌گیری: مقاله شهبازی و همکاران (۲۰۱۶) بیشتر به عنوان یک مطالعه موردی روش‌شناختی که چالش‌های مدل‌سازی در یک کشور در حال توسعه را برجسته می‌کند، ارزشمند است تا یک منبع کمی قابل اعتماد. این تفسیر نتیجه می‌گیرد که برای سیاست‌گذاری مؤثر، سیاهه‌های انتشار آینده باید جامعیت زمانی (پوشش ۲۴ ساعته)، جامعیت منابع (شامل کردن انتشار غیر اگزوزی) و شفافیت آماری (کالیبراسیون دقیق و تحلیل عدم قطعیت) را در اولویت قرار دهند. کلیدواژگان: سیاهه انتشار، آلودگی هوا، منابع متحرک، مدل IVE، نقد روش‌شناختی، انتشار غیر اگزوزی، تحلیل عدم قطعیت، تهران. سهم در ادبیات علمی این تفسیر بر اهمیت حیاتی و غیرقابل چشم‌پوشی تفکیک‌پذیری زمانی ۲۴ ساعته در سیاهه‌های انتشار شهری تأکید می‌کند و نشان می‌دهد که چگونه تحلیل‌های تک‌ساعته می‌توانند نتایجی با تورش سیستماتیک و گمراه‌کننده تولید کنند. این مقاله لزوم گنجاندن منابع انتشار غیر اگزوزی (NEE) برای تدوین یک سیاهه انتشار دقیق برای ذرات معلق (PM) را برجسته می‌سازد؛ منبعی که اغلب در مطالعات کشورهای در حال توسعه نادیده گرفته می‌شود. این نقد بر الزام علمی برای کالیبراسیون شفاف مدل‌ها و تحلیل عدم قطعیت دقیق در مدل‌سازی محیطی تأکید می‌کند تا اعتبار علمی و قابلیت اتکای نتایج برای سیاست‌گذاری تضمین شود. پیش‌زمینه سیاهه‌های انتشار دقیق، جامع و به‌روز، ابزارهای بنیادین برای درک منابع آلودگی هوا و طراحی استراتژی‌های کنترلی مؤثر در کلان‌شهرها هستند.1 مقاله \"سهم نسبی منابع متحرک در انتشار آلاینده‌های هوا در تهران، ایران: یک رویکرد سیاهه انتشار\" (از این پس \"مقاله اصلی\" نامیده می‌شود) 2، تلاشی قابل توجه برای پر کردن یک شکاف اطلاعاتی مهم در یکی از آلوده‌ترین شهرهای جهان است. نویسندگان با استفاده از مدل‌های استاندارد ترافیک (EMME/2) و انتشار (IVE)، یک سیاهه انتشار مبتنی بر لینک برای آلاینده‌های کلیدی ناشی از وسایل نقلیه در تهران تهیه کرده‌اند. هدف اعلام‌شده آن‌ها، تعیین \"سهم نسبی\" منابع مختلف متحرک است تا به سیاست‌گذاران در تدوین راهبردهای کاهش آلودگی کمک کند.2 با وجود نیت ارزشمند و استفاده از ابزارهای استاندارد، این تفسیر استدلال می‌کند که مجموعه‌ای از انتخاب‌های روش‌شناختی و حذفیات آماری، اعتبار نتایج کمی مقاله اصلی را به شدت تضعیف کرده و استفاده از آن را به عنوان مبنایی برای سیاست‌گذاری علمی، غیرقابل اتکا می‌سازد. این تفسیر به جای به چالش کشیدن یافته‌های خاص، بر چهار ستون اصلی از محدودیت‌های ساختاری تمرکز دارد که در مجموع، مانع از دستیابی مقاله به هدف اعلام‌شده خود یعنی ارائه یک تصویر \"جامع\" از انتشار آلاینده‌ها می‌شوند.2 متن اصلی مغالطه \"عکس فوری\": خطای بحرانی دامنه زمانی تک‌ساعته اساسی‌ترین ضعف مقاله اصلی، محدود کردن کل تحلیل به یک بازه زمانی یک ساعته در اوج ترافیک صبحگاهی (۷:۳۰ تا ۸:۳۰) است.2 این انتخاب طراحی، مطالعه را از یک سیاهه انتشار نماینده به یک \"عکس فوری\" (Snapshot) غیرنماینده از شرایط روزانه تبدیل می‌کند. الگوهای ترافیک شهری به شدت در طول یک چرخه ۲۴ ساعته متغیر هستند.3 ترافیک خودروهای سواری معمولاً دارای دو قله در ","url":"https://doi.org/10.5281/zenodo.17208797","authors":["Qalavand, Mostafa"],"tags":["سیاهه انتشار","آلودگی هوا","منابع متحرک","مدل IVE","نقد روش‌شناختی","انتشار غیر اگزوزی","تحلیل عدم قطعیت","تهران"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.17208797","addedAt":"2026-08-31T06:39:52.575Z","updatedAt":"2026-08-31T06:39:57.285Z"},{"id":"doi:10.48550/arxiv.2507.13534","name":"The impact of heatwave-driven air conditioning adoption on electricity demand: A spatio-temporal case study for Germany","source":"datacite","abstract":"Intensifying heatwaves driven by climate change are accelerating the adoption of mobile air conditioning (AC) systems. A rapid mass adoption of such AC systems could create additional stress on electricity grids and the power system. This study presents a novel method to estimate the electricity demand from AC systems both at the system level and at high temporal and spatial granularity. We apply the method to a near-future heatwave scenario in Germany in which household AC adoption increases from the current 19% to 35% during a heatwave similar to the one of July 2025. We analyze the effects for 196,428 grid cells of one square kilometer across Germany, by combining weather data, census data, socio-demographic assumptions, mobility patterns, and temperature-dependent AC activation functions. We find that electricity demand of newly purchased mobile AC systems could increase the peak load by over 12.9 GW, with urban hot-spots reaching 5.2 MW per square kilometer. The temporal pattern creates a pronounced afternoon peak that coincides with lower photovoltaic generation, potentially exacerbating power system stability challenges. Our findings underscore the urgency for proactive energy system planning to manage emerging demand peaks.","url":"https://doi.org/10.48550/arxiv.2507.13534","authors":["Semmelmann, Leo","Scheidt, Frederik vom"],"tags":["Systems and Control (eess.SY)","FOS: Electrical engineering, electronic engineering, information engineering","FOS: Electrical engineering, electronic engineering, information engineering"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.48550/arxiv.2507.13534","addedAt":"2026-08-31T06:39:52.575Z","updatedAt":"2026-08-31T06:39:52.575Z"},{"id":"doi:10.48550/arxiv.2508.14380","name":"Fair-CoPlan: Negotiated Flight Planning with Fair Deconfliction for Urban Air Mobility","source":"datacite","abstract":"Urban Air Mobility (UAM) is an emerging transportation paradigm in which Uncrewed Aerial Systems (UAS) autonomously transport passengers and goods in cities. The UAS have different operators with different, sometimes competing goals, yet must share the airspace. We propose a negotiated, semi-distributed flight planner that optimizes UAS' flight lengths {\\em in a fair manner}. Current flight planners might result in some UAS being given disproportionately shorter flight paths at the expense of others. We introduce Fair-CoPlan, a planner in which operators and a Provider of Service to the UAM (PSU) together compute \\emph{fair} flight paths. Fair-CoPlan has three steps: First, the PSU constrains take-off and landing choices for flights based on capacity at and around vertiports. Then, operators plan independently under these constraints. Finally, the PSU resolves any conflicting paths, optimizing for path length fairness. By fairly spreading the cost of deconfliction Fair-CoPlan encourages wider participation in UAM, ensures safety of the airspace and the areas below it, and promotes greater operator flexibility. We demonstrate Fair-CoPlan through simulation experiments and find fairer outcomes than a non-fair planner with minor delays as a trade-off.","url":"https://doi.org/10.48550/arxiv.2508.14380","authors":["Fronda, Nicole","Smith, Phil","Hoxha, Bardh","Pant, Yash","Abbas, Houssam"],"tags":["Robotics (cs.RO)","FOS: Computer and information sciences","FOS: Computer and information sciences"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.48550/arxiv.2508.14380","addedAt":"2026-08-31T06:39:52.575Z","updatedAt":"2026-08-31T06:39:52.575Z"},{"id":"doi:10.5281/zenodo.16893400","name":"Impacts of integrated mobility concepts in residential complexes on residents' travel behavior","source":"datacite","abstract":"Car-based mobility is a significant contributor to inefficient land use, global carbon emissions, and air pollution, exacerbating urban challenges such as congestion and mobility inequality. Integrated Mobility Concepts (IMCs) in residential complexes have emerged as a promising solution, combing urban planning with sustainable transport strategies through both restrictive (push) and incentive-based (pull) measures to reduce car dependency in residential complexes. This study investigates the impact of IMCs on travel behavior by analyzing survey data from 911 residents across 19 residential complexes in Switzerland, spanning both urban and suburban contexts. The methodology involved comparing mobility patterns between 10 complexes with IMCs and 9 without, utilizing both traditional statistical methods and machine learning models. Descriptive statistics and t-tests were used for group comparisons, while multivariate regression and machine learning techniques, such as Random Forest and Lasso regression, were applied to identify key predictors of car ownership and use. The results show that urban complexes with IMCs experience 39% lower car ownership and significantly reduced reliance on private motorized transport (9% of trips, compared to 17% in conventional complexes). Parking availability was identified as the most critical factor influencing car ownership and transport behavior, with a pronounced self-selection effect where residents with sustainable mobility preferences are more likely to choose these complexes. These findings emphasize the need for context-specific mobility solutions, as the impact of IMCs is heterogeneous and varies across different demographic and spatial contexts.","url":"https://doi.org/10.5281/zenodo.16893400","authors":["Stiebe, Michael","von Arx, Widar","Thao Thi, Vu"],"tags":["Integrated mobility concepts","Mobility plans","Urban planning","Car-reduced neighborhoods","Residential complexes","Sustainable mobility","Travel behavior"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.16893400","addedAt":"2026-08-31T06:39:52.575Z","updatedAt":"2026-08-31T06:39:52.575Z"},{"id":"doi:10.5281/zenodo.16893401","name":"Impacts of integrated mobility concepts in residential complexes on residents' travel behavior","source":"datacite","abstract":"Car-based mobility is a significant contributor to inefficient land use, global carbon emissions, and air pollution, exacerbating urban challenges such as congestion and mobility inequality. Integrated Mobility Concepts (IMCs) in residential complexes have emerged as a promising solution, combing urban planning with sustainable transport strategies through both restrictive (push) and incentive-based (pull) measures to reduce car dependency in residential complexes. This study investigates the impact of IMCs on travel behavior by analyzing survey data from 911 residents across 19 residential complexes in Switzerland, spanning both urban and suburban contexts. The methodology involved comparing mobility patterns between 10 complexes with IMCs and 9 without, utilizing both traditional statistical methods and machine learning models. Descriptive statistics and t-tests were used for group comparisons, while multivariate regression and machine learning techniques, such as Random Forest and Lasso regression, were applied to identify key predictors of car ownership and use. The results show that urban complexes with IMCs experience 39% lower car ownership and significantly reduced reliance on private motorized transport (9% of trips, compared to 17% in conventional complexes). Parking availability was identified as the most critical factor influencing car ownership and transport behavior, with a pronounced self-selection effect where residents with sustainable mobility preferences are more likely to choose these complexes. These findings emphasize the need for context-specific mobility solutions, as the impact of IMCs is heterogeneous and varies across different demographic and spatial contexts.","url":"https://doi.org/10.5281/zenodo.16893401","authors":["Stiebe, Michael","von Arx, Widar","Thao Thi, Vu"],"tags":["Integrated mobility concepts","Mobility plans","Urban planning","Car-reduced neighborhoods","Residential complexes","Sustainable mobility","Travel behavior"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.16893401","addedAt":"2026-08-31T06:39:52.575Z","updatedAt":"2026-08-31T06:39:52.575Z"},{"id":"doi:10.5281/zenodo.16806646","name":"India ISIN Database, by Nemo","source":"datacite","abstract":"Additions The following new ISINs were added: ISIN|Description|Issuer|Type|Status ----|-----------|------|---------------|------ IN9080I01015|LLOYDS ENTERPRISES LIMITED EQ PP RS. 0.5/-|LLOYDS ENTERPRISES LIMITED|EQUITY SHARES|Active IN912EI03014|TRUEGRIT TECHNOLOGIES PRIVATE LIMITED 0.0001% PRE SERIES A PP PREF 11DC44|TRUEGRIT TECHNOLOGIES PRIVATE LIMITED|PREFERENCE SHARES|Active IN914H401018|FINNABLE CREDIT PRIVATE LIMITED EQ PP RS. 0.01/-|FINNABLE CREDIT PRIVATE LIMITED|EQUITY SHARES|Active IN918S703010|ALPHAVECTOR (INDIA) PRIVATE LIMITED 0.01% SERIES A4 PP PREF 25OT41|ALPHAVECTOR (INDIA) PRIVATE LIMITED|PREFERENCE SHARES|Active IN919IX03043|DIPTAB VENTURES PRIVATE LIMITED 0.001% SERIES B3 PP PREF 16NV26|DIPTAB VENTURES PRIVATE LIMITED|PREFERENCE SHARES|Active IN91BTP03018|FAIRSCORE INDIA PRIVATE LIMITED 0.01% PARTLY PAID PREF 27JU43|FAIRSCORE INDIA PRIVATE LIMITED|PREFERENCE SHARES|Active IN91LHO03015|BLUPIN TECHNOLOGIES PRIVATE LIMITED 0.001% SERIES B1 PP PREF 03JL41|BLUPIN TECHNOLOGIES PRIVATE LIMITED|PREFERENCE SHARES|Active IN91LHO03023|BLUPIN TECHNOLOGIES PRIVATE LIMITED 0.001% SERIES B2 PP PREF 12SP41|BLUPIN TECHNOLOGIES PRIVATE LIMITED|PREFERENCE SHARES|Active IN91LHO03031|BLUPIN TECHNOLOGIES PRIVATE LIMITED 0.001% SERIES B3 PP PREF 29JU42|BLUPIN TECHNOLOGIES PRIVATE LIMITED|PREFERENCE SHARES|Active IN91LHO03049|BLUPIN TECHNOLOGIES PRIVATE LIMITED 0.001% SERIES B5 PP PREF 19JL42|BLUPIN TECHNOLOGIES PRIVATE LIMITED|PREFERENCE SHARES|Active IN91LHO03056|BLUPIN TECHNOLOGIES PRIVATE LIMITED 0.001% SERIES B4 PP PREF 16AG42|BLUPIN TECHNOLOGIES PRIVATE LIMITED|PREFERENCE SHARES|Active IN91Y3A03018|SNITCH APPARELS PRIVATE LIMITED 0.0001% SERIES A PARTLY PAID PREF 21NV43|SNITCH APPARELS PRIVATE LIMITED|PREFERENCE SHARES|Active INE00UA04193|DS GROUP HOSPITALITY PRIVATE LIMITED 10% PREF 20SP26|DS GROUP HOSPITALITY PRIVATE LIMITED|PREFERENCE SHARES|Active INE00UA04201|DS GROUP HOSPITALITY PRIVATE LIMITED 10% PREF 26FB28|DS GROUP HOSPITALITY PRIVATE LIMITED|PREFERENCE SHARES|Active INE00UA04219|DS GROUP HOSPITALITY PRIVATE LIMITED 10% PREF 01NV28|DS GROUP HOSPITALITY PRIVATE LIMITED|PREFERENCE SHARES|Active INE015103067|THERMAL ENERGY SERVICE SOLUTIONS PRIVATE LIMITED 0.01% PREF 04NV36|THERMAL ENERGY SERVICE SOLUTIONS PRIVATE LIMITED|PREFERENCE SHARES|Active INE028A16JM7|BANK OF BARODA CD 06FEB26|BANK OF BARODA|CERTIFICATE OF DEPOSIT|Active INE06IJ13015|UTSSAV CZ GOLD JEWELS LIMITED WARRANTS 26DC26|UTSSAV CZ GOLD JEWELS LIMITED|WARRANT|Active INE07YI07246|OMKARA ASSETS RECONSTRUCTION PRIVATE LIMITED NCD 23JL30 FVRS10LAC|OMKARA ASSETS RECONSTRUCTION PRIVATE LIMITED|DEBENTURE|Active INE080I20017|LLOYDS ENTERPRISES LIMITED RES - 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A key challenge in these high-mobility aerial corridors is ensuring reliable connectivity, where frequent handovers can degrade network performance. To resolve this, we present a Context-Aware Smart Handover (CASH) protocol that uses a forward-looking scoring mechanism based on UAV trajectory to make proactive handover decisions. We evaluate the performance of the proposed CASH against existing handover protocols in a custom-built simulator. Results show that CASH reduces handover frequency by up to 78% while maintaining low outage probability. We then investigate the impact of base station density and safety margin on handover performance, where their optimal setups are empirically obtained to ensure reliable UAM communication.","url":"https://doi.org/10.48550/arxiv.2508.03862","authors":["Saboor, Abdul","Cui, Zhuangzhuang","Colpaert, Achiel","Vinogradov, Evgenii","Pollin, Sofie"],"tags":["Networking and Internet Architecture (cs.NI)","Signal Processing (eess.SP)","FOS: Computer and information sciences","FOS: Computer and information sciences","FOS: Electrical engineering, electronic engineering, information engineering","FOS: Electrical engineering, electronic engineering, information engineering"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.48550/arxiv.2508.03862","addedAt":"2026-08-31T06:39:52.575Z","updatedAt":"2026-08-31T06:39:52.575Z"},{"id":"doi:10.6084/m9.figshare.29773478.v1","name":"Sukavichinomics-The-1994-Bangkok-Smart-Sports-City.pdf","source":"datacite","abstract":"AbstractThis study revisits and re-evaluates one of Thailand’s most forward-thinking but ultimately unrealized urban development initiatives: the 1994 Bangkok Smart Sports City, conceptualized under the leadership of His Excellency Mr.Sukavich Rangsitpol, then Deputy Prime Minister overseeing national infrastructure. As a core element of Sukavichinomics—a development paradigm centered on human capital, integrated planning, and institutional coherence—the project was designed not merely as a venue for the upcoming 1998 Asian Games, but as a prototype for inclusive, sustainable, and future-ready urban development in Southeast Asia.At its core, the Bangkok Smart Sports City project proposed a bold, multi-layered urban ecosystem: one that leveraged underused land—specifically, the air rights above the MRT maintenance depot at Rama IX—to integrate transportation, housing, sports, and public services into a cohesive, vertical city model. The project’s design featured Olympic-standard sports facilities, environmentally sustainable buildings, mixed-use commercial zones, and welfare housing designed for post-event reuse, particularly for relocating vulnerable communities such as those from Khlong Toei slums. The plan embraced Transit-Oriented Development (TOD) principles before they were mainstream, targeting both economic efficiency and social equity through infrastructure.Despite its visionary scope, the project was suspended following a political transition on 11 December 1994, which saw the departure of technocratic leadership and a refocus of state priorities. This discontinuity serves as the focal point of this paper, which explores the economic, social, and institutional opportunity costs of that policy shift using rigorous econometric and spatial modeling techniques. Drawing from a mix of quantitative and counterfactual methods, including ARIMA time-series forecasting, Chow structural break tests, and an enhanced Cobb–Douglas production model, the research seeks to quantify what was lost when this project was discontinued.The findings are striking. First, the Chow test identifies a statistically significant structural break in Thailand’s urban infrastructure investment patterns in Q1 1995, aligning precisely with the project’s suspension. ARIMA simulations estimate that, had the Smart Sports City been completed and maintained with consistent investment, Bangkok’s compound annual growth rate (CAGR) could have increased by up to 1.2% between 2000 and 2020. These gains would likely have stemmed from:increased land value around the TOD zones,improved public health and human capital development via sports access,greater labor market integration through affordable housing,and higher tourism and service sector revenues.Second, the social dimension of the project was profoundly ambitious. Instead of treating the sports complex as a temporary mega-event site, the plan embedded permanently useful public infrastructure. Athlete housing was intended to be converted into government welfare residences, providing safe, serviced homes for formerly displaced or disadvantaged citizens. Such a reuse strategy would have reduced state expenditure on future housing initiatives, decongested informal settlements, and improved education and health outcomes through proximity to quality urban services.Moreover, the integration of local schools, youth sports programs, and community centers into the complex was intended to transform sports from an elite spectacle into an everyday civic good. Public recreation spaces, connected walkways, and on-site mass transit access were designed to ensure accessibility, inclusivity, and year-round utility, reinforcing Bangkok’s identity as a city for all.In policy terms, the project offered a multi-benefit investment strategy, aligning physical infrastructure with long-term social mobility and spatial equity. Its shelving illustrates how political short-termism can undermine sustainable development, even when plans are ","url":"https://doi.org/10.6084/m9.figshare.29773478.v1","authors":["Manitkul, Thita"],"tags":["Econometric and statistical methods","Economic models and forecasting","Time-series analysis"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.6084/m9.figshare.29773478.v1","addedAt":"2026-08-31T06:39:52.575Z","updatedAt":"2026-08-31T06:39:52.575Z"},{"id":"doi:10.5281/zenodo.16114748","name":"India ISIN Database, by Nemo","source":"datacite","abstract":"Additions The following new ISINs were added: ISIN|Description|Issuer|Type|Status ----|-----------|------|---------------|------ IN900D203018|CUE LEARN PRIVATE LIMITED 0.001% SR B3 PARTLY PAID RE. 1/- PREF 03JL39|CUE LEARN PRIVATE LIMITED|PREFERENCE SHARES|Active IN913LZ03011|FRESHCARTONS RETAIL AND DISTRIBUTION PRIVATE LIMITED 0.1% SERIES B1 PARTLY PAID PREF 24JU33|FRESHCARTONS RETAIL AND DISTRIBUTION 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Mobility","source":"datacite","abstract":"Urban aerial mobility is rapidly expanding, specifically on-demand Unmanned Aerial Vehicle (UAV) delivery services in urban environments. This necessitates management of the low-altitude airspace network to ensure smooth and safe traffic throughput. This study introduces a novel three-dimensional aerial network design inspired by a terrestrial transportation graph network for UAV networked mobility. Utilizing two-way tube corridors for node-to-node delivery and a spherical roundabout model, as \"Sphereabout\", to optimize the traffic flow through the spherical intersection. Through this architecture, three-dimensional conflict-free air mobility management can be achieved via numerical experiments and utilizing the geometrical features of this intersection.","url":"https://doi.org/10.48550/arxiv.2507.01610","authors":["Moosavi, Farzan","Farooq, Bilal"],"tags":["Optimization and Control (math.OC)","FOS: Mathematics"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.48550/arxiv.2507.01610","addedAt":"2026-08-31T06:39:52.575Z","updatedAt":"2026-08-31T06:40:02.533Z"},{"id":"doi:10.5281/zenodo.15750383","name":"India ISIN Database, by Nemo","source":"datacite","abstract":"Additions The following new ISINs were added: ISIN|Description|Issuer|Type|Status ----|-----------|------|---------------|------ IN002025X133|GOVERNMENT OF INDIA 36114 091 DAYS TBILL 25SP25 FV RS 100||TREASURY BILLS|Active IN002025Y131|GOVERNMENT OF INDIA 36115 182 DAYS TBILL 25DC25 FV RS 100||TREASURY BILLS|Active IN002025Z138|GOVERNMENT OF INDIA 36116 364 DAYS 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Channel Modeling with Probabilistic LOS/NLOS Segmentation","source":"datacite","abstract":"In this paper, we present a spatially consistent A2G channel model based on probabilistic LOS/NLOS segmentation to parameterize the deterministic path loss and stochastic shadow fading model. Motivated by the limitations of existing Unmanned Aerial Vehicle (UAV) channel models that overlook spatial correlation, our approach reproduces LOS/NLOS transitions along ground user trajectories in urban environments. This model captures environment-specific obstructions by means of azimuth and elevation-dependent LOS probabilities without requiring a full detailed 3D representation of the surroundings. We validate our framework against a geometry-based simulator by evaluating it across various urban settings. The results demonstrate its accuracy and computational efficiency, enabling further realistic derivations of path loss and shadow fading models and thorough outage analysis.","url":"https://doi.org/10.48550/arxiv.2506.12794","authors":["Vinogradov, Evgenii","Saboor, Abdul","Cui, Zhuangzhuang","Fakhreddine, Aymen"],"tags":["Emerging Technologies (cs.ET)","Signal Processing (eess.SP)","FOS: Computer and information sciences","FOS: Electrical engineering, electronic engineering, information engineering"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.48550/arxiv.2506.12794","addedAt":"2026-08-31T06:39:52.575Z","updatedAt":"2026-08-31T06:40:02.533Z"},{"id":"doi:10.5281/zenodo.14872956","name":"India ISIN Database, by Nemo","source":"datacite","abstract":"Additions The following new ISINs were added: ISIN|Description|Issuer|Type|Status ----|-----------|------|---------------|------ IN90HEN03014|TECHFINO CAPITAL PRIVATE LIMITED 0.01% PARTLY PAID RE. 1/ PREF 15JU31|TECHFINO CAPITAL PRIVATE LIMITED|PREFERENCE SHARES|Active IN91GJZ03017|YUM PLUM PRIVATE LIMITED 0.01% CL II SR SEED PARTLY PAID PREF 07AG44|YUM PLUM PRIVATE LIMITED|PREFERENCE SHARES|Active INE00YF03014|RELIANCE INTERACTIVE ADVISORS PRIVATE LIMITED 10% PREF 18DC29|RELIANCE INTERACTIVE ADVISORS PRIVATE LIMITED|PREFERENCE SHARES|Active INE00YF03022|RELIANCE INTERACTIVE ADVISORS PRIVATE LIMITED 10% PREF 28NV32|RELIANCE INTERACTIVE ADVISORS PRIVATE LIMITED|PREFERENCE SHARES|Active INE00YF04061|RELIANCE INTERACTIVE ADVISORS PRIVATE LIMITED 10% SERIES VI PREF 02JU27|RELIANCE INTERACTIVE ADVISORS PRIVATE LIMITED|PREFERENCE SHARES|Active INE00YF04079|RELIANCE INTERACTIVE ADVISORS PRIVATE LIMITED 10% SERIES IV PREF 02FB27|RELIANCE INTERACTIVE ADVISORS PRIVATE LIMITED|PREFERENCE SHARES|Active INE00YF04087|RELIANCE INTERACTIVE ADVISORS PRIVATE LIMITED 10% SERIES IX PREF 12JN28|RELIANCE INTERACTIVE ADVISORS PRIVATE LIMITED|PREFERENCE SHARES|Active INE00YF04095|RELIANCE INTERACTIVE ADVISORS PRIVATE LIMITED 10% SERIES XII PREF 20JU28|RELIANCE INTERACTIVE ADVISORS PRIVATE LIMITED|PREFERENCE SHARES|Active INE00YF04103|RELIANCE INTERACTIVE ADVISORS PRIVATE LIMITED 10% SERIES XI PREF 27FB28|RELIANCE INTERACTIVE ADVISORS PRIVATE LIMITED|PREFERENCE SHARES|Active INE00YF04111|RELIANCE INTERACTIVE ADVISORS PRIVATE LIMITED 10% SERIES VII PREF 27NV27|RELIANCE INTERACTIVE ADVISORS PRIVATE LIMITED|PREFERENCE SHARES|Active INE00YF04129|RELIANCE INTERACTIVE ADVISORS PRIVATE LIMITED 10% SERIES XIII PREF 28JU28|RELIANCE INTERACTIVE ADVISORS PRIVATE LIMITED|PREFERENCE SHARES|Active INE00YF04137|RELIANCE INTERACTIVE ADVISORS PRIVATE LIMITED 10% SERIES X PREF 20JN28|RELIANCE INTERACTIVE ADVISORS PRIVATE LIMITED|PREFERENCE SHARES|Active INE00YF04145|RELIANCE INTERACTIVE ADVISORS PRIVATE LIMITED 10% SERIES V PREF 30MY27|RELIANCE INTERACTIVE ADVISORS PRIVATE LIMITED|PREFERENCE SHARES|Active INE027214761|BOBCARD LIMITED 91D CP 16MAY25|BOBCARD LIMITED|COMMERCIAL PAPER|Active INE02JD14591|GODREJ HOUSING FINANCE LIMITED 364D CP 13FEB26|GODREJ HOUSING FINANCE LIMITED|COMMERCIAL PAPER|Active INE02JD14609|GODREJ HOUSING FINANCE LIMITED 365D CP 17FEB26|GODREJ HOUSING FINANCE LIMITED|COMMERCIAL PAPER|Active INE02KN14440|GODREJ FINANCE LIMITED 365D CP 17FEB26|GODREJ FINANCE LIMITED|COMMERCIAL PAPER|Active INE036D16ID5|THE KARUR VYSYA BANK LIMITED CD 16MAY25|THE KARUR VYSYA BANK LIMITED|CERTIFICATE OF DEPOSIT|Active INE03W114674|ARKA FINCAP LIMITED 180D CP 13AUG25|ARKA FINCAP LIMITED|COMMERCIAL PAPER|Active INE04VS07362|OXYZO FINANCIAL SERVICES LIMITED 9.75 NCD 18FB27 FVRS10000|OXYZO FINANCIAL SERVICES LIMITED|DEBENTURE|Active INE053F08478|INDIAN RAILWAY FINANCE CORPORATION LIMITED SR 187 7.28 BD 14FB40 FVRS1LAC|INDIAN RAILWAY FINANCE CORPORATION LIMITED|BOND|Active INE066I08060|SKY FOREST PROJECTS PRIVATE LIMITED 0.0001 NCD 06AG34 FVRS10|SKY FOREST PROJECTS PRIVATE LIMITED|DEBENTURE|Active INE093JB76H3|ANAND RATHI GLOBAL FINANCE LIMITED SR II ARG25SP176 BR NCD 27AP30 FVRS1LAC|ANAND RATHI GLOBAL FINANCE LIMITED|DEBENTURE|Active INE093JB76I1|ANAND RATHI GLOBAL FINANCE LIMITED SR I ARG25SP176 BR NCD 27AP30 FVRS1LAC|ANAND RATHI GLOBAL FINANCE LIMITED|DEBENTURE|Active INE093JB76J9|ANAND RATHI GLOBAL FINANCE LIMITED SR I ARG25SP175 BR NCD 22AP30 FVRS1LAC|ANAND RATHI GLOBAL FINANCE LIMITED|DEBENTURE|Active INE095A16Y92|INDUSIND BANK LTD. CD 16MAY25|INDUSIND BANK LTD.|CERTIFICATE OF DEPOSIT|Active INE095A16Z00|INDUSIND BANK LTD. CD 19MAY25|INDUSIND BANK LTD.|CERTIFICATE OF DEPOSIT|Active INE09OL14GO9|BIRLA GROUP HOLDINGS PRIVATE LIMITED 91D CP 20MAY25|BIRLA GROUP HOLDINGS PRIVATE LIMITED|COMMERCIAL PAPER|Active INE09PO03189|ZETWERK MANUFACTURING BUSINESSES PRIVATE LIMITED PREF 24JN41|ZETWERK MANUFACTURING BUSINESSES PRIVATE LIMITED|PREFERENCE SHARES|Active INE0C0E07AE7|IN","url":"https://doi.org/10.5281/zenodo.14872956","authors":["Rana, Abhay"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.14872956","addedAt":"2026-08-31T06:39:52.575Z","updatedAt":"2026-08-31T06:39:52.575Z"},{"id":"doi:10.7275/fabos.2420","name":"School Streets as a Strategy for Urban Greenways","source":"datacite","abstract":"The location of new greenways has expanded in recent years to increasingly proliferate in urban areas (Horte and Eisenman 2020) Greenways have become ways in which cities can “green” their streets, both through increased vegetative cover and through the facilitation of active modes of transportation. Legacy automobile infrastructure provides an opportunity where such linear parks can emerge (Ahern 2022). Pedestrianization can unlock street space for urban greenway implementation (Dostal and Eisenman 2022). Newfound public spaces around schools possess the potential to serve as crucial spines in a greater open space system (Jákli et ak 2022). Instances of pedestrianization of streets adjacent to schools, colloquially known as “School Streets” have increased dramatically since the Covid-19 pandemic (Advocacy Hub 2022). Aimed at improving youth health outcomes through improvements in air quality, safety, and active mobility, robust School Street initiatives have developed worldwide (Reith et al 2022). Programs range temporally from street closures lasting less than an hour during school opening and closing times, to an expansion of the school yard during and immediately after school, to a permanent communal green space. School Streets have emerged as a swifter and more sustainable method of implementation due to their existing social infrastructure and the ease of pilot projects. Grassroots organizations composed of parents and teachers commonly revolve around and push for improvements at community schools. These established associations enable effective advocacy and tactical action to create temporary and permanent street closures. These same groups can function to provide maintenance and programming quicker than municipalities are able to, though they are still reliant on municipal governments to fund permanent street transformations and connections with the surrounding city. Pilot projects provide the potential for iterative implementation. Consistent short term closures and one-off street takeovers can build the proof of concept for more permanent and robust revitalization of the streetscape. The fleeting impermanence of temporary school streets can open residents' imaginations towards a final level of realization, where the school street can become a place of inherent greenery and active mobility. A systematic review and comparison of global School Street implementation explores the methods in which concerned parents, school staff, and municipalities have turned streets into green communal spaces. An analysis of best practices, limitations, and contextual factors will form recommendations that can inform a diverse array of stakeholders on the strategies they can pursue. References Advocacy Hub. (2022). School streets: putting children and the planet first. FIA Foundation. Retrieved April 4, 2023, from https://www.fiafoundation.org/media/hr3fmhin/school-streets-report-pages.pdf Ahern, J., (2022) “Opportunistic Urban Greenways: typologies, precedents and challenge”, Fábos Conference on Landscape and Greenway Planning 7(1). doi: https://doi.org/10.7275/99en-p664 Dostal, N. &amp; Eisenman, T. S., (2022) “Pedestrianizing Streets as a Strategy for Urban Greenways”, Fábos Conference on Landscape and Greenway Planning 7(1). doi: https://doi.org/10.7275/6emn-qm45 Horte, Olivia S, and Theodore S Eisenman. “Urban Greenways: A Systematic Review and Typology.” ScholarWorks@UMass Amherst. University of Massachusetts Amherst Department of Landscape Architecture and Regional Planning, February 1, 2020. https://scholarworks.umass.edu/cgi/viewcontent.cgi?article=1080&amp;context=larp_faculty_pubs. Jákli, E. , Reith, A. , Almási, B. &amp; Pap, M. L. (2022) “The role of participatory planning in designing school environments”, Fábos Conference on Landscape and Greenway Planning. 7(1). Doi: https://doi.org/10.7275/6rjv-gj45 Reith, A., Balogh, P., Szabó, K., Doma-Tarcsányi, J. &amp; Jákli, E., (2022) “Role of Urban Public Open Spaces Around Schoo","url":"https://doi.org/10.7275/fabos.2420","authors":["Nicolas Dostal"],"tags":["School Streets","Urban Greenways","Pedestrianization"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.7275/fabos.2420","addedAt":"2026-08-31T06:39:52.575Z","updatedAt":"2026-08-31T06:39:57.286Z"},{"id":"doi:10.48550/arxiv.2503.02690","name":"Generative Modeling of Microweather Wind Velocities for Urban Air Mobility","source":"datacite","abstract":"Motivated by the pursuit of safe, reliable, and weather-tolerant urban air mobility (UAM) solutions, this work proposes a generative modeling approach for characterizing microweather wind velocities. Microweather, or the weather conditions in highly localized areas, is particularly complex in urban environments owing to the chaotic and turbulent nature of wind flows. Furthermore, traditional means of assessing local wind fields are not generally viable solutions for UAM applications: 1) field measurements that would rely on permanent wind profiling systems in operational air space are not practical, 2) physics-based models that simulate fluid dynamics at a sufficiently high resolution are not computationally tractable, and 3) data-driven modeling approaches that are largely deterministic ignore the inherent variability in turbulent flows that dictates UAM reliability. Thus, advancements in predictive capabilities are needed to help mitigate the unique operational safety risks that microweather winds pose for smaller, lighter weight UAM aircraft. This work aims to model microweather wind velocities in a manner that is computationally-efficient, captures random variability, and would only require a temporary, rather than permanent, field measurement campaign. Inspired by recent breakthroughs in conditional generative AI such as text-to-image generation, the proposed approach learns a probabilistic macro-to-microweather mapping between regional weather forecasts and measured local wind velocities using generative modeling (denoising diffusion probabilistic models, flow matching, and Gaussian mixture models). A simple proof of concept was implemented using a dataset comprised of local (micro) measurements from a Sonic Detection and Ranging (SoDAR) wind profiler along with (macro) forecast data from a nearby weather station over the same time period.","url":"https://doi.org/10.48550/arxiv.2503.02690","authors":["Shah, Tristan A.","Stanley, Michael C.","Warner, James E."],"tags":["Computational Engineering, Finance, and Science (cs.CE)","Machine Learning (cs.LG)","Atmospheric and Oceanic Physics (physics.ao-ph)","FOS: Computer and information sciences","FOS: Computer and information sciences","FOS: Physical sciences","FOS: Physical sciences"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.48550/arxiv.2503.02690","addedAt":"2026-08-31T06:39:52.575Z","updatedAt":"2026-08-31T06:39:52.575Z"},{"id":"doi:10.13016/m2pjwg-vm76","name":"Regional Air Mobility Flight Demand Modeling in Tennessee State","source":"datacite","abstract":"Advanced Air Mobility (AAM), encompassing Urban Air Mobility (UAM) and Regional Air Mobility (RAM), offers innovative solutions to mitigate the issues related to ground transportation like traffic congestion, environmental pollution etc. RAM addresses transportation inefficiencies over medium-distance trips (50-500 miles), which are often underserved by both traditional air and ground transportation systems. This study focuses on RAM in Tennessee, addressing the complexities of demand modeling as a critical aspect of effective RAM implementation. Leveraging datasets from the Bureau of Transportation Statistics (BTS), Internal Revenue Service (IRS), Federal Aviation Administration (FAA), and other sources, we assess trip data across Tennessee's Metropolitan Statistical Areas (MSAs) to develop a predictive framework for RAM demand. Through cost, time, and risk regression, we calculate a Generalized Travel Cost (GTC) that allows for comparative analysis between ground transportation and RAM, identifying factors that influence mode choice. When focusing on only five major airports (BNA, CHA, MEM, TRI, and TYS) as RAM hubs, the results reveal a mixed demand pattern due to varying travel distances to these central locations, which increases back-and-forth travel for some routes. However, by expanding the RAM network to include more regional airports, the GTC for RAM aligns more closely with traditional air travel, providing a smoother and more competitive option against ground transportation, particularly for trips exceeding 300 miles. The analysis shows that RAM demand is likely to be selected when air transportation accounts for more than 80\\% of the total GTC, air travel time is more than 1 hour and when the ground GTC exceeds 300 for specific origin-destination pairs. The data and code can be accessed on GitHub. {https://github.com/lotussavy/AIAAScitecth-2025.git}","url":"https://doi.org/10.13016/m2pjwg-vm76","authors":["Acharya, Kamal","Lad, Mehul","Song, Houbing","Sun, Liang"],"tags":["UMBC Security and Optimization for Networked Globe Laboratory (SONG Lab)","Physics - Physics and Society"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.13016/m2pjwg-vm76","addedAt":"2026-08-31T06:39:52.575Z","updatedAt":"2026-08-31T06:39:52.575Z"},{"id":"doi:10.48550/arxiv.2501.08941","name":"A Reinforcement Learning Approach to Quiet and Safe UAM Traffic Management","source":"datacite","abstract":"Urban air mobility (UAM) is a transformative system that operates various small aerial vehicles in urban environments to reshape urban transportation. However, integrating UAM into existing urban environments presents a variety of complex challenges. Recent analyses of UAM's operational constraints highlight aircraft noise and system safety as key hurdles to UAM system implementation. Future UAM air traffic management schemes must ensure that the system is both quiet and safe. We propose a multi-agent reinforcement learning approach to manage UAM traffic, aiming at both vertical separation assurance and noise mitigation. Through extensive training, the reinforcement learning agent learns to balance the two primary objectives by employing altitude adjustments in a multi-layer UAM network. The results reveal the tradeoffs among noise impact, traffic congestion, and separation. Overall, our findings demonstrate the potential of reinforcement learning in mitigating UAM's noise impact while maintaining safe separation using altitude adjustments","url":"https://doi.org/10.48550/arxiv.2501.08941","authors":["Murthy, Surya","Clarke, John-Paul","Topcu, Ufuk","Gao, Zhenyu"],"tags":["Multiagent Systems (cs.MA)","Machine Learning (cs.LG)","Robotics (cs.RO)","FOS: Computer and information sciences","FOS: Computer and information sciences"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.48550/arxiv.2501.08941","addedAt":"2026-08-31T06:39:52.575Z","updatedAt":"2026-08-31T06:39:52.575Z"},{"id":"doi:10.48550/arxiv.2501.08933","name":"Separation Assurance in Urban Air Mobility Systems using Shared Scheduling Protocols","source":"datacite","abstract":"Ensuring safe separation between aircraft is a critical challenge in air traffic management, particularly in urban air mobility (UAM) environments where high traffic density and low altitudes require precise control. In these environments, conflicts often arise at the intersections of flight corridors, posing significant risks. We propose a tactical separation approach leveraging shared scheduling protocols, originally designed for Ethernet networks and operating systems, to coordinate access to these intersections. Using a decentralized Markov decision process framework, the proposed approach enables aircraft to autonomously adjust their speed and timing as they navigate these critical areas, maintaining safe separation without a central controller. We evaluate the effectiveness of this approach in simulated UAM scenarios, demonstrating its ability to reduce separation violations to zero while acknowledging trade-offs in flight times as traffic density increases. Additionally, we explore the impact of non-compliant aircraft, showing that while shared scheduling protocols can no longer guarantee safe separation, they still provide significant improvements over systems without scheduling protocols.","url":"https://doi.org/10.48550/arxiv.2501.08933","authors":["Murthy, Surya","Ingebrand, Tyler","Smith, Sophia","Topcu, Ufuk","Wei, Peng","Neogi, Natasha"],"tags":["Multiagent Systems (cs.MA)","FOS: Computer and information sciences","FOS: Computer and information sciences"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.48550/arxiv.2501.08933","addedAt":"2026-08-31T06:39:52.575Z","updatedAt":"2026-08-31T06:39:52.575Z"},{"id":"doi:10.48550/arxiv.2412.10445","name":"Regional Air Mobility Flight Demand Modeling in Tennessee State","source":"datacite","abstract":"Advanced Air Mobility (AAM), encompassing Urban Air Mobility (UAM) and Regional Air Mobility (RAM), offers innovative solutions to mitigate the issues related to ground transportation like traffic congestion, environmental pollution etc. RAM addresses transportation inefficiencies over medium-distance trips (50-500 miles), which are often underserved by both traditional air and ground transportation systems. This study focuses on RAM in Tennessee, addressing the complexities of demand modeling as a critical aspect of effective RAM implementation. Leveraging datasets from the Bureau of Transportation Statistics (BTS), Internal Revenue Service (IRS), Federal Aviation Administration (FAA), and other sources, we assess trip data across Tennessee's Metropolitan Statistical Areas (MSAs) to develop a predictive framework for RAM demand. Through cost, time, and risk regression, we calculate a Generalized Travel Cost (GTC) that allows for comparative analysis between ground transportation and RAM, identifying factors that influence mode choice. When focusing on only five major airports (BNA, CHA, MEM, TRI, and TYS) as RAM hubs, the results reveal a mixed demand pattern due to varying travel distances to these central locations, which increases back-and-forth travel for some routes. However, by expanding the RAM network to include more regional airports, the GTC for RAM aligns more closely with traditional air travel, providing a smoother and more competitive option against ground transportation, particularly for trips exceeding 300 miles. The analysis shows that RAM demand is likely to be selected when air transportation accounts for more than 80\\% of the total GTC, air travel time is more than 1 hour and when the ground GTC exceeds 300 for specific origin-destination pairs. The data and code can be accessed on GitHub. {https://github.com/lotussavy/AIAAScitecth-2025.git}","url":"https://doi.org/10.48550/arxiv.2412.10445","authors":["Acharya, Kamal","Lad, Mehul","Song, Houbing","Sun, Liang"],"tags":["Physics and Society (physics.soc-ph)","FOS: Physical sciences","FOS: Physical sciences"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.48550/arxiv.2412.10445","addedAt":"2026-08-31T06:39:52.575Z","updatedAt":"2026-08-31T06:39:52.575Z"},{"id":"doi:10.48550/arxiv.2412.09505","name":"Integrating Vision Systems and STPA for Robust Landing and Take-Off in VTOL Aircraft","source":"datacite","abstract":"Vertical take-off and landing (VTOL) unmanned aerial vehicles (UAVs) are versatile platforms widely used in applications such as surveillance, search and rescue, and urban air mobility. Despite their potential, the critical phases of take-off and landing in uncertain and dynamic environments pose significant safety challenges due to environmental uncertainties, sensor noise, and system-level interactions. This paper presents an integrated approach combining vision-based sensor fusion with System-Theoretic Process Analysis (STPA) to enhance the safety and robustness of VTOL UAV operations during take-off and landing. By incorporating fiducial markers, such as AprilTags, into the control architecture, and performing comprehensive hazard analysis, we identify unsafe control actions and propose mitigation strategies. Key contributions include developing the control structure with vision system capable of identifying a fiducial marker, multirotor controller and corresponding unsafe control actions and mitigation strategies. The proposed solution is expected to improve the reliability and safety of VTOL UAV operations, paving the way for resilient autonomous systems.","url":"https://doi.org/10.48550/arxiv.2412.09505","authors":["Banik, Sandeep","Kim, Jinrae","Hovakimyan, Naira","Carlone, Luca","Thomas, John P.","Leveson, Nancy G."],"tags":["Robotics (cs.RO)","Emerging Technologies (cs.ET)","FOS: Computer and information sciences","FOS: Computer and information sciences"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.48550/arxiv.2412.09505","addedAt":"2026-08-31T06:39:52.575Z","updatedAt":"2026-08-31T06:39:52.575Z"},{"id":"doi:10.5281/zenodo.8096017","name":"Operational Concepts for Urban Air Mobility deployment in the next decades","source":"datacite","abstract":"Urban Air Mobility development and deployment into future cities is gaining increasing and relevant interest in the last years, as a new mobility form suitable to meet the future greener, scalable and efficient mobility targets needed to solve the issues today's big cities are facing in terms of traffic congestion as well as related environmental consequences. In this framework, the ASSURED UAM (Acceptance, Safety and Sustainability Recommendations for Efficient Deployment of UAM) project has been funded by H2020 and is ongoing, with the main objective of providing cities with knowledge concerning deployment of UAM services and definition of necessary standards and recommendations assuring common acceptance, safety and sustainability within integrated metropolitan transport system for three time horizons (2025, 2030 and 2035). In the project, dedicated activities have been carried out to develop operational concepts for Urban Air Mobility (UAM) deployment in the next decades. The main results from these activities are presented in this paper, which namely includes the main project outcomes in terms of: the identification of the most relevant and promising technologies that can enable the UAM implementation over the next decades, taking into account the current technological trends and perspectives; the outline of the regulatory framework in which the UAM will be shaped in the next decades; the definition of the most relevant aspects and constraints affecting the UAM deployment from the point of view of integration of such new mobility form in the cities infrastructures; the outline of the foreseen UAM concept of operations and definition of the most relevant use case that are expected to be implemented in the cities over the three time horizons considered in the project, i.e. 2025, 2030 and 2035.","url":"https://doi.org/10.5281/zenodo.8096017","authors":["V. Di Vito","B Dziugiel","S Melo","J Ten Thije","G Duca","A Liberacki","H Hesselink","M Giannuzzi","A Menichino","A Witkowska-Koniecz"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2023","doi":"10.5281/zenodo.8096017","addedAt":"2026-08-31T06:39:52.575Z","updatedAt":"2026-08-31T06:39:52.575Z"},{"id":"doi:10.5281/zenodo.8096018","name":"Operational Concepts for Urban Air Mobility deployment in the next decades","source":"datacite","abstract":"Urban Air Mobility development and deployment into future cities is gaining increasing and relevant interest in the last years, as a new mobility form suitable to meet the future greener, scalable and efficient mobility targets needed to solve the issues today's big cities are facing in terms of traffic congestion as well as related environmental consequences. In this framework, the ASSURED UAM (Acceptance, Safety and Sustainability Recommendations for Efficient Deployment of UAM) project has been funded by H2020 and is ongoing, with the main objective of providing cities with knowledge concerning deployment of UAM services and definition of necessary standards and recommendations assuring common acceptance, safety and sustainability within integrated metropolitan transport system for three time horizons (2025, 2030 and 2035). In the project, dedicated activities have been carried out to develop operational concepts for Urban Air Mobility (UAM) deployment in the next decades. The main results from these activities are presented in this paper, which namely includes the main project outcomes in terms of: the identification of the most relevant and promising technologies that can enable the UAM implementation over the next decades, taking into account the current technological trends and perspectives; the outline of the regulatory framework in which the UAM will be shaped in the next decades; the definition of the most relevant aspects and constraints affecting the UAM deployment from the point of view of integration of such new mobility form in the cities infrastructures; the outline of the foreseen UAM concept of operations and definition of the most relevant use case that are expected to be implemented in the cities over the three time horizons considered in the project, i.e. 2025, 2030 and 2035.","url":"https://doi.org/10.5281/zenodo.8096018","authors":["V. Di Vito","B Dziugiel","S Melo","J Ten Thije","G Duca","A Liberacki","H Hesselink","M Giannuzzi","A Menichino","A Witkowska-Koniecz"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2023","doi":"10.5281/zenodo.8096018","addedAt":"2026-08-31T06:39:52.575Z","updatedAt":"2026-08-31T06:39:52.575Z"},{"id":"doi:10.5281/zenodo.7190268","name":"X-TEAM D2D Project First Results. An outline of a Concept of Operations for integration of ATM and aviation into a multimodal transport system for Door-to-Door travel","source":"datacite","abstract":"X-TEAM D2D project aims at defining, developing and initially validating a Concept of Operations (ConOps) for a seamless integration of Air Traffic Management (ATM) and Air Transport into an overall intermodal network, including other available transportation modes (road, rail, water). This will contribute to significant enhancement in door-to-door connectivity, supporting to the ACARE SRIA FlightPath 2050 goal of enabling connection in up to 4 hours between any location in Europe. The project provides and validates a Concept of Operations (ConOps) for seamless door-to-door mobility in urban and suburban (up to regional and country-wide level) environment, targeting as scenario the connection of a metropolis with the surrounding area (up to country-wide level) and taking into account the transportation and passengers service scenarios envisaged for the next decades, according to baseline (2025), intermediate (2035) and final (2050) time horizons.","url":"https://doi.org/10.5281/zenodo.7190268","authors":["Vittorio Di Vito,","Montaquila, Roberto Valentino","Cerasuolo, Giovanni","Dziugieł, Bartosz","Meincke, Peter A.","Naser, Fares","Mota, Miguel Mujica","Margarita Bagamanova,","Makhloufi, Abdel El","Duca, Gabriella","Russo, Raffaella","Sangermano, Vittorio","Brucculeri, Luigi","Proietti, Stefano"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2021","doi":"10.5281/zenodo.7190268","addedAt":"2026-08-31T06:39:52.575Z","updatedAt":"2026-08-31T06:39:52.575Z"},{"id":"doi:10.5281/zenodo.7190269","name":"X-TEAM D2D Project First Results. An outline of a Concept of Operations for integration of ATM and aviation into a multimodal transport system for Door-to-Door travel","source":"datacite","abstract":"X-TEAM D2D project aims at defining, developing and initially validating a Concept of Operations (ConOps) for a seamless integration of Air Traffic Management (ATM) and Air Transport into an overall intermodal network, including other available transportation modes (road, rail, water). This will contribute to significant enhancement in door-to-door connectivity, supporting to the ACARE SRIA FlightPath 2050 goal of enabling connection in up to 4 hours between any location in Europe. The project provides and validates a Concept of Operations (ConOps) for seamless door-to-door mobility in urban and suburban (up to regional and country-wide level) environment, targeting as scenario the connection of a metropolis with the surrounding area (up to country-wide level) and taking into account the transportation and passengers service scenarios envisaged for the next decades, according to baseline (2025), intermediate (2035) and final (2050) time horizons.","url":"https://doi.org/10.5281/zenodo.7190269","authors":["Vittorio Di Vito,","Montaquila, Roberto Valentino","Cerasuolo, Giovanni","Dziugieł, Bartosz","Meincke, Peter A.","Naser, Fares","Mota, Miguel Mujica","Margarita Bagamanova,","Makhloufi, Abdel El","Duca, Gabriella","Russo, Raffaella","Sangermano, Vittorio","Brucculeri, Luigi","Proietti, Stefano"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2021","doi":"10.5281/zenodo.7190269","addedAt":"2026-08-31T06:39:52.575Z","updatedAt":"2026-08-31T06:39:52.575Z"},{"id":"doi:10.5281/zenodo.7189153","name":"AN OUTLINE OF A CONCEPT OF OPERATIONS FOR INTEGRATION OF ATM AND AIR TRANSPORT INTO MULTIMODAL TRANSPORT SYSTEM FOR DOOR-TO-DOOR TRAVEL","source":"datacite","abstract":"In the framework of the research activities supported by SESAR JU, dedicated research stream is devoted to investigation of integration of Air Traffic Management (ATM) and aviation into a wider transport system able to support the implementation of Door-to-Door (D2D) travel concept. In this framework, the project X-TEAM D2D (Extended ATM for Door-to-Door Travel) has been funded by SESAR JU under the call SESAR-ER4-10- 2019: ATM Role in Intermodal Transport, with Grant Agreement n. 891061. The project aims defining, developing and initially validating a Concept of Operations (ConOps) for the seamless integration of A TM and air transport into an overall intermodal network, including other available transportation means (surface, water), to support the door-to-door connectivity, in up to 4 hours, between any location in Europe, in compliance with the target assigned by the ACARE SRIA FlightPath 2050 goals. The project is focused on the consideration of ConOps for ATM and air transport integration in intermodal transport network serving urban and extended urban (up to regional level) mobility, taking into account the transportation and passengers service scenarios envisaged for the next decades, according to baseline (2025), intermediate (2035) and final (2050) time horizons. In this paper, the outcomes of the first phase of the project activities, aimed to provide the initial definition (concept outline) of the proposed overall ConOps are illustrated, emphasizing the specific activities that have been carried out up to date and the related achievements. In addition, an outlook is provided in the paper on the next project activities, expected to be carried out towards the conclusion of the studies and the validation, by means of dedicated numerical simulation campaigns, of the proposed ConOps.","url":"https://doi.org/10.5281/zenodo.7189153","authors":["Di Vito, Vittorio","Montaquila, Roberto Valentino","Cerasuolo, Giovanni","Dziugieł, Bartosz","Maczka, Maciej","Mazur, Anna","Meincke, Peter A.","Naser, Fares","Miguel Mujica Mota,","Bagamanova, Margarita","Makhloufi, Abdel El","Duca, Gabriella","Russo, Raffaella","Sangermano, Vittorio","Brucculeri, Luigi","Proietti, Stefano"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2022","doi":"10.5281/zenodo.7189153","addedAt":"2026-08-31T06:39:52.575Z","updatedAt":"2026-08-31T06:39:52.575Z"},{"id":"doi:10.5281/zenodo.7189154","name":"AN OUTLINE OF A CONCEPT OF OPERATIONS FOR INTEGRATION OF ATM AND AIR TRANSPORT INTO MULTIMODAL TRANSPORT SYSTEM FOR DOOR-TO-DOOR TRAVEL","source":"datacite","abstract":"In the framework of the research activities supported by SESAR JU, dedicated research stream is devoted to investigation of integration of Air Traffic Management (ATM) and aviation into a wider transport system able to support the implementation of Door-to-Door (D2D) travel concept. In this framework, the project X-TEAM D2D (Extended ATM for Door-to-Door Travel) has been funded by SESAR JU under the call SESAR-ER4-10- 2019: ATM Role in Intermodal Transport, with Grant Agreement n. 891061. The project aims defining, developing and initially validating a Concept of Operations (ConOps) for the seamless integration of A TM and air transport into an overall intermodal network, including other available transportation means (surface, water), to support the door-to-door connectivity, in up to 4 hours, between any location in Europe, in compliance with the target assigned by the ACARE SRIA FlightPath 2050 goals. The project is focused on the consideration of ConOps for ATM and air transport integration in intermodal transport network serving urban and extended urban (up to regional level) mobility, taking into account the transportation and passengers service scenarios envisaged for the next decades, according to baseline (2025), intermediate (2035) and final (2050) time horizons. In this paper, the outcomes of the first phase of the project activities, aimed to provide the initial definition (concept outline) of the proposed overall ConOps are illustrated, emphasizing the specific activities that have been carried out up to date and the related achievements. In addition, an outlook is provided in the paper on the next project activities, expected to be carried out towards the conclusion of the studies and the validation, by means of dedicated numerical simulation campaigns, of the proposed ConOps.","url":"https://doi.org/10.5281/zenodo.7189154","authors":["Di Vito, Vittorio","Montaquila, Roberto Valentino","Cerasuolo, Giovanni","Dziugieł, Bartosz","Maczka, Maciej","Mazur, Anna","Meincke, Peter A.","Naser, Fares","Miguel Mujica Mota,","Bagamanova, Margarita","Makhloufi, Abdel El","Duca, Gabriella","Russo, Raffaella","Sangermano, Vittorio","Brucculeri, Luigi","Proietti, Stefano"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2022","doi":"10.5281/zenodo.7189154","addedAt":"2026-08-31T06:39:52.575Z","updatedAt":"2026-08-31T06:39:52.575Z"},{"id":"doi:10.5281/zenodo.7188878","name":"X-TEAM D2D Extended ATM for Door-to-Door Travel","source":"datacite","abstract":"X-TEAM D2D project aims at defining, developing and initially validating a Concept of Operations (ConOps) for a seamless integration of Air Traffic Management (ATM) and Air Transport into an overall intermodal network, including other available transportation modes (road, rail, water). This will contribute to significant enhancement in door-to-door connectivity, supporting to the ACARE SRIA FlightPath 2050 goal of enabling connection in up to 4 hours between any location in Europe. The project provides and validates a Concept of Operations (ConOps) for seamless door-to-door mobility in urban and suburban (up to regional and country-wide level) environment, targeting as scenario the connection of a metropolis with the surrounding area (up to country-wide level) and taking into account the transportation and passengers service scenarios envisaged for the next decades, according to baseline (2025), intermediate (2035) and final (2050) time horizons.","url":"https://doi.org/10.5281/zenodo.7188878","authors":["Di Vito, Vittorio","Dziugieł, Bartosz","Mota, Miguel Mujica","Bagamanova, Margarita","Makhloufi, Abdel El","Ciaburri, Mario","Duca, Gabriella","Brucculeri, Luigi","Proietti, Stefano"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2020","doi":"10.5281/zenodo.7188878","addedAt":"2026-08-31T06:39:52.575Z","updatedAt":"2026-08-31T06:39:52.575Z"},{"id":"doi:10.5281/zenodo.7188879","name":"X-TEAM D2D Extended ATM for Door-to-Door Travel","source":"datacite","abstract":"X-TEAM D2D project aims at defining, developing and initially validating a Concept of Operations (ConOps) for a seamless integration of Air Traffic Management (ATM) and Air Transport into an overall intermodal network, including other available transportation modes (road, rail, water). This will contribute to significant enhancement in door-to-door connectivity, supporting to the ACARE SRIA FlightPath 2050 goal of enabling connection in up to 4 hours between any location in Europe. The project provides and validates a Concept of Operations (ConOps) for seamless door-to-door mobility in urban and suburban (up to regional and country-wide level) environment, targeting as scenario the connection of a metropolis with the surrounding area (up to country-wide level) and taking into account the transportation and passengers service scenarios envisaged for the next decades, according to baseline (2025), intermediate (2035) and final (2050) time horizons.","url":"https://doi.org/10.5281/zenodo.7188879","authors":["Di Vito, Vittorio","Dziugieł, Bartosz","Mota, Miguel Mujica","Bagamanova, Margarita","Makhloufi, Abdel El","Ciaburri, Mario","Duca, Gabriella","Brucculeri, Luigi","Proietti, Stefano"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2020","doi":"10.5281/zenodo.7188879","addedAt":"2026-08-31T06:39:52.575Z","updatedAt":"2026-08-31T06:39:52.575Z"},{"id":"doi:10.34726/hss.2017.40082","name":"Der Einfluss der Raumstruktur und der sozialräumlichen Umgebung auf urbanes Mobilitätsverhalten im Kontext von Veränderungsprozessen","source":"datacite","abstract":"Gesellschaftliche Ziele im Mobilitätsbereich, wie beispielweise die Reduktion des Schadstoffausstoßes, sollen durch zielführende raumplanerische Ansätze verfolgt werden können. Deshalb ist es notwendig, nicht nur eine Aufzählung regional-lokaler Elemente (Raumstruktur und sozialräumliche Umgebung) mit Einfluss auf Verkehrsmittelwahl zu erheben, sondern auch zu untersuchen, wie diese mit Erfahrungen und Emotionen verknüpft sind, um eine etwaige Beeinflussbarkeit des individuellen Mobilitätsverhaltens durch infrastrukturelle Maßnahmen feststellen zu können. Um dies zu untersuchen, wurden im Rahmen dieser Arbeit qualitative leitfadengestützte Interviews geführt, um den Ausschnitt einer Mobilitätsbiographie zu erfassen. Diese Untersuchungsmethode berücksichtigt die Routinisierung des Mobilitätsverhalten, durch die Analyse von Veränderungsprozessen. Die 17 Interviews mit Personen, welche in den letzten zwei Jahren vom ländlichen Raum in die Stadt Wien gezogen sind, wurden einer thematischen Analyse unterzogen, welche die folgenden Schlüsse zulässt. Den größten Einfluss auf die individuelle Verkehrsmittelwahl hat die unabhängige und flexible Erreichbarkeit sämtlicher Ziele einer Person; ist diese durch verschiedene Verkehrsmittel gegeben, kommen die Faktoren Sicherheit und Nutzungsaufwand als Entscheidungsgrundlagen hinzu. Im Zusammenhang mit aktiver Mobilität sind zusätzlich die Nutzungsmischung, die Aufenthaltsqualität, das soziales Leben und die Verteilung der Nutzungsrechte im öffentlichen Raum relevant. Des Weiteren ist das Selbstbild in Bezug auf körperliche Aktivität und das Verhalten Bekannter von Wichtigkeit. Allgemein zeigt sich unter den befragten Personen, welche der Generation der „Millennials“ angehören, ein durchgehendes Muster pragmatischer (Mobilitäts-)Entscheidungen. Je nach Raumstruktur (Land oder Stadt) wird zwischen den am besten geeigneten Verkehrsmitteln gewechselt, im Rahmen persönlicher finanzieller Möglichkeiten. Dieser Pragmatik folgt jedoch auch ein Mangel an Vorstellungskraft, dass Veränderungen raumstruktureller Elemente (bspw. Implementierung von mehr Begrünung in der Stadt) möglich sind. Als Schlussfolgerung können Ansatzpunkte zur Beeinflussung des Mobilitätsverhaltens von Zuzüglerinnen und Zuzüglern festgestellt werden. Ein Punkt steht allen voran, welcher infrastrukturelle Maßnahmen ergänzen sollte – die Möglichkeiten zur Veränderung des öffentlichen Raumes anschaulich darzustellen und deren positive Wirkung auf bestehende Probleme zu kommunizieren sowie die Vorstellungskraft anzuregen. Zudem sind Bereiche feststellbar, auf welche sich Raumplanerinnen und Raumplanern fokussieren sollen, um Zielsetzungen im Mobilitätsbereich zu erreichen, allen voran die Erreichbarkeit mit hohem Sicherheitsgefühl und geringem Nutzungsaufwand zu gewährleisten. Des Weiteren wird am meisten Veränderungspotential und -wunsch bei aktiver Mobilität geäußert, insbesondere die Radinfrastruktur in der Stadt Wien gewährt kein ausreichendes Sicherheitsempfinden, zu wenig Orientierungsmöglichkeiten und verursacht Konflikte mit anderen Verkehrsteilnehmerinnen und -teilnehmern. Zur weiteren Förderung aktiver Mobilität ist die Nutzungsmischung zu gewährleisten sowie der öffentliche Raum mit Aufenthaltsqualität und hohem Erholungswert zu gestalten. Diese Ansatzpunkte, bzw. allgemein die Ergebnisse dieser Arbeit, können zur Überprüfung von Maßnahmenkatalogen und Entwicklungsstrategien im Bereich urbane Mobilität herangezogen werden, wie am Beispiel des Stadtentwicklungsplan Wien „STEP 2025 – Fachkonzept Mobilität“ gezeigt wird.","url":"https://doi.org/10.34726/hss.2017.40082","authors":["Moser, Nina"],"tags":["Raumstruktur","Mobilitätsverhalten","qualitative Befragungen","spatial structure","mobility behaviour","qualitative guided interviews"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2017","doi":"10.34726/hss.2017.40082","addedAt":"2026-08-31T06:39:52.575Z","updatedAt":"2026-08-31T06:39:57.286Z"},{"id":"doi:10.5281/zenodo.5099347","name":"Revisión sobre la ocurrencia de triclosán en aguas subterráneas y tendencias tecnológicas para su remoción","source":"datacite","abstract":"RESUMEN Debido a la importancia como fuente de abastecimiento de agua potable, las aguas subterráneas deben garantizar seguridad en cuanto a su composición química. Sin embargo, en años recientes una gran cantidad de micro-contaminantes orgánicos tóxicos no regulados se han detectado en aguas subterráneas. El triclosán (TCS) es una sustancia desinfectante que debido a sus propiedades tóxicas y alta movilidad en el medio ambiente ha sido una molécula indicadora de procesos contaminantes de origen antropogénico. El análisis de estudios de monitoreo de contaminación de aguas subterráneas con triclosán muestra que su presencia en estas fuentes de agua potable se encuentra principalmente en zonas urbanas y en menor medida en zonas rurales. Y fundamentalmente, se debe a tres problemáticas: 1) la infiltración de aguas residuales domésticas sin tratamiento, 2) la infiltración de aguas residuales domésticas tratadas en cuyo tren de tratamiento no se contemplan operaciones avanzadas para la eliminación de micro-contaminantes orgánicos y 3) la infiltración de lixiviados provenientes de rellenos sanitarios. Las tecnologías más prometedoras para la remoción de triclosán de sistemas acuosos con bajo contenido de materia orgánica son: oxidación y oxidación avanzada, adsorción y biosorción, remoción metabólica microbiana, transformación enzimática y fitofiltración. La mayoría de los estudios para la remoción de triclosán se han realizado a nivel de laboratorio poniendo énfasis tanto en la eficiencia del proceso como en el mecanismo de remoción del contaminante, estos estudios son de gran importancia para el diseño de sistemas de tratamiento de aguas residuales y naturales. ABSTRACT According to the importance of a source of drinking water supply, groundwater must guarantee safety in terms of its chemical composition. However, in recent years a large amount of unregulated toxic organic micro-pollutants has been detected in groundwater. Triclosan (TCS) is a disinfectant substance and indicator molecule for anthropogenic origin polluting processes due to its toxic properties and high mobility in the environment. Studies of monitoring analysis for groundwater contamination with triclosan shows that its presence in drinking water sources is mainly found in urban areas and, to a lesser extent, in rural areas. The presence of TCS is fundamentally due to three problems: 1) infiltration of untreated domestic wastewater, 2) infiltration of treated domestic wastewater in where, treatment process does not include advanced operations to eliminate organic micro-pollutants, and 3) infiltration of leachate from sanitary landfills. The most promising technologies for triclosan removal from aqueous systems with low organic matter content are advanced oxidation and oxidation, adsorption and biosorption, microbial metabolic removal, enzymatic transformation, and phytofiltration. Many of the studies for triclosan removal have been carried out at the laboratory level emphasizing both the efficiency of the process and the pollutant removal mechanism, these studies are of great importance for the design of wastewater and natural water treatment systems.","url":"https://doi.org/10.5281/zenodo.5099347","authors":["Netzahuatl-Muñoz, Alma Rosa","Rodríguez-Cuamatzi, Patricia"],"tags":["aguas subterráneas; micro-contaminantes; tratamientos avanzados de aguas residuales; triclosán.","groundwater; micropollutants; triclosan; wastewater advanced treatments."],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2020","doi":"10.5281/zenodo.5099347","addedAt":"2026-08-31T06:39:52.575Z","updatedAt":"2026-08-31T06:39:57.286Z"},{"id":"doi:10.5281/zenodo.5099348","name":"Revisión sobre la ocurrencia de triclosán en aguas subterráneas y tendencias tecnológicas para su remoción","source":"datacite","abstract":"RESUMEN Debido a la importancia como fuente de abastecimiento de agua potable, las aguas subterráneas deben garantizar seguridad en cuanto a su composición química. Sin embargo, en años recientes una gran cantidad de micro-contaminantes orgánicos tóxicos no regulados se han detectado en aguas subterráneas. El triclosán (TCS) es una sustancia desinfectante que debido a sus propiedades tóxicas y alta movilidad en el medio ambiente ha sido una molécula indicadora de procesos contaminantes de origen antropogénico. El análisis de estudios de monitoreo de contaminación de aguas subterráneas con triclosán muestra que su presencia en estas fuentes de agua potable se encuentra principalmente en zonas urbanas y en menor medida en zonas rurales. Y fundamentalmente, se debe a tres problemáticas: 1) la infiltración de aguas residuales domésticas sin tratamiento, 2) la infiltración de aguas residuales domésticas tratadas en cuyo tren de tratamiento no se contemplan operaciones avanzadas para la eliminación de micro-contaminantes orgánicos y 3) la infiltración de lixiviados provenientes de rellenos sanitarios. Las tecnologías más prometedoras para la remoción de triclosán de sistemas acuosos con bajo contenido de materia orgánica son: oxidación y oxidación avanzada, adsorción y biosorción, remoción metabólica microbiana, transformación enzimática y fitofiltración. La mayoría de los estudios para la remoción de triclosán se han realizado a nivel de laboratorio poniendo énfasis tanto en la eficiencia del proceso como en el mecanismo de remoción del contaminante, estos estudios son de gran importancia para el diseño de sistemas de tratamiento de aguas residuales y naturales. ABSTRACT According to the importance of a source of drinking water supply, groundwater must guarantee safety in terms of its chemical composition. However, in recent years a large amount of unregulated toxic organic micro-pollutants has been detected in groundwater. Triclosan (TCS) is a disinfectant substance and indicator molecule for anthropogenic origin polluting processes due to its toxic properties and high mobility in the environment. Studies of monitoring analysis for groundwater contamination with triclosan shows that its presence in drinking water sources is mainly found in urban areas and, to a lesser extent, in rural areas. The presence of TCS is fundamentally due to three problems: 1) infiltration of untreated domestic wastewater, 2) infiltration of treated domestic wastewater in where, treatment process does not include advanced operations to eliminate organic micro-pollutants, and 3) infiltration of leachate from sanitary landfills. The most promising technologies for triclosan removal from aqueous systems with low organic matter content are advanced oxidation and oxidation, adsorption and biosorption, microbial metabolic removal, enzymatic transformation, and phytofiltration. Many of the studies for triclosan removal have been carried out at the laboratory level emphasizing both the efficiency of the process and the pollutant removal mechanism, these studies are of great importance for the design of wastewater and natural water treatment systems.","url":"https://doi.org/10.5281/zenodo.5099348","authors":["Netzahuatl-Muñoz, Alma Rosa","Rodríguez-Cuamatzi, Patricia"],"tags":["aguas subterráneas; micro-contaminantes; tratamientos avanzados de aguas residuales; triclosán.","groundwater; micropollutants; triclosan; wastewater advanced treatments."],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2020","doi":"10.5281/zenodo.5099348","addedAt":"2026-08-31T06:39:52.575Z","updatedAt":"2026-08-31T06:39:57.286Z"},{"id":"doi:10.5281/zenodo.1317365","name":"Guidelines For Sustainable Urban Mobility In Historic Districts From International Experiences","source":"datacite","abstract":"In recent approaches to heritage conservation, the whole context of historic areas becomes as important as the single historic building. This makes the provision of infrastructure and network of mobility an effective element in the urban conservation. Sustainable urban conservation projects consider the high density of activities, the need for a good quality access system to the transit system, and the importance of the configuration of the mobility network by identifying the best way to connect the different districts of the urban area through a complex unique system that helps the synergic development to achieve a sustainable mobility system. A sustainable urban mobility is a key factor in maintaining the integrity between socio-cultural aspects and functional aspects. This paper illustrates the mobility aspects, mobility problems in historic districts, and the needs of the mobility systems in the first part. The second part is a practical analysis for different mobility plans. It is challenging to find innovative and creative conservation solutions fitting modern uses and needs without risking the loss of inherited built resources. Urban mobility management is becoming an essential and challenging issue in the urban conservation projects. Depending on literature review and practical analysis, this paper tries to define and clarify the guidelines for mobility management in historic districts as a key element in sustainability of urban conservation and development projects. Such rules and principles could control the conflict between the socio–cultural and economic activities, and the different needs for mobility in these districts in a sustainable way. The practical analysis includes a comparison between mobility plans which have been implemented in four different cities; Freiburg in Germany, Zurich in Switzerland and Bray Town in Ireland. This paper concludes with a matrix of guidelines that considers both principles of sustainability and livability factors in urban historic districts.","url":"https://doi.org/10.5281/zenodo.1317365","authors":["ElSerafi, Tamer"],"tags":["Sustainable mobility","urban mobility","mobility management","historic districts."],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2018","doi":"10.5281/zenodo.1317365","addedAt":"2026-08-31T06:39:52.575Z","updatedAt":"2026-08-31T06:39:57.286Z"},{"id":"doi:10.5281/zenodo.1317366","name":"Guidelines For Sustainable Urban Mobility In Historic Districts From International Experiences","source":"datacite","abstract":"In recent approaches to heritage conservation, the whole context of historic areas becomes as important as the single historic building. This makes the provision of infrastructure and network of mobility an effective element in the urban conservation. Sustainable urban conservation projects consider the high density of activities, the need for a good quality access system to the transit system, and the importance of the configuration of the mobility network by identifying the best way to connect the different districts of the urban area through a complex unique system that helps the synergic development to achieve a sustainable mobility system. A sustainable urban mobility is a key factor in maintaining the integrity between socio-cultural aspects and functional aspects. This paper illustrates the mobility aspects, mobility problems in historic districts, and the needs of the mobility systems in the first part. The second part is a practical analysis for different mobility plans. It is challenging to find innovative and creative conservation solutions fitting modern uses and needs without risking the loss of inherited built resources. Urban mobility management is becoming an essential and challenging issue in the urban conservation projects. Depending on literature review and practical analysis, this paper tries to define and clarify the guidelines for mobility management in historic districts as a key element in sustainability of urban conservation and development projects. Such rules and principles could control the conflict between the socio–cultural and economic activities, and the different needs for mobility in these districts in a sustainable way. The practical analysis includes a comparison between mobility plans which have been implemented in four different cities; Freiburg in Germany, Zurich in Switzerland and Bray Town in Ireland. This paper concludes with a matrix of guidelines that considers both principles of sustainability and livability factors in urban historic districts.","url":"https://doi.org/10.5281/zenodo.1317366","authors":["ElSerafi, Tamer"],"tags":["Sustainable mobility","urban mobility","mobility management","historic districts."],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2018","doi":"10.5281/zenodo.1317366","addedAt":"2026-08-31T06:39:52.575Z","updatedAt":"2026-08-31T06:39:57.286Z"},{"id":"doi:10.4018/979-8-3373-0265-2.ch019","name":"The Future of Urban Transport Integrating VANETs and Blockchain for Seamless Mobility","source":"crossref","abstract":"The combination of VLC and blockchain technologies has immense potential to solve several problems that arise in urban infrastructures of smart cities. This chapter examines real-life instances and scenarios of the said integration beginning from accident prevention, traffic management to coordination of autonomous vehicles and smart parking services. VANET consists of V2V and V2I communication which promotes averting collisions, hazards and even allows an adaptive optimization of traffic in real-time environments. In addition, blockchain assists this by providing data preservation as well as guaranteeing security and accountability across all aspects of the construction through decentralized individual approaches, smart contracts, and incentivized mechanisms. Among the outlined features the one that follows from the federation of V2V devices is the accident prevention through secured emergency response systems which can be a part of blockchain ecosystem hence providing reliability in dispatch coordination.","url":"https://doi.org/10.4018/979-8-3373-0265-2.ch019","authors":["S. S. Neetha","S. Deepa"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-04-24T16:01:53Z","doi":"10.4018/979-8-3373-0265-2.ch019","addedAt":"2026-08-31T06:39:54.184Z","updatedAt":"2026-08-31T06:39:54.184Z"},{"id":"doi:10.4018/979-8-3373-0265-2.ch002","name":"Reimagining Urban Mobility","source":"crossref","abstract":"Urban mobility, a critical component of modern cities, faces challenges such as congestion, pollution, and inefficient resource allocation. Blockchain technology, with its decentralized, transparent, and secure nature, offers a promising solution to address these issues. This chapter delves into the potential applications of blockchain in transforming urban transportation systems. The authors explore how blockchain can revolutionize various aspects of urban mobility, including smart contracts for autonomous vehicles; enabling secure and efficient interactions between autonomous vehicles, infrastructure, and other stakeholders; decentralized mobility-as-a-service (MaaS) platforms; facilitating seamless integration of diverse transportation modes into a unified platform; secure data management; protecting sensitive user data and vehicle information while enabling data sharing for improved decision-making, traceability, and verification; creating an immutable record of vehicle history and maintenance for enhanced trust and transparency; efficient payment systems.","url":"https://doi.org/10.4018/979-8-3373-0265-2.ch002","authors":["Syed Ibad Ali","Mohammad Shahnawaz Shaikh","Praveen Kumar Patidar","Sanjay Pagare"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-04-24T16:01:53Z","doi":"10.4018/979-8-3373-0265-2.ch002","addedAt":"2026-08-31T06:39:54.184Z","updatedAt":"2026-08-31T06:39:54.184Z"},{"id":"doi:10.1201/9781003605539","name":"Autonomous Urban Mobility","source":"crossref","abstract":"","url":"https://doi.org/10.1201/9781003605539","authors":["Tan Yigitcanlar"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-06-18T13:17:51Z","doi":"10.1201/9781003605539","addedAt":"2026-08-31T06:39:54.184Z","updatedAt":"2026-08-31T06:39:54.184Z"},{"id":"doi:10.2139/ssrn.5873342","name":"A Two-Stage Optimization Framework for Vertiport Location and Vehicle-to-Path Assignment in Urban Air Mobility: Balancing Cost and Service Performance","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.5873342","authors":["Zhirong Zhang","Xinyi Zheng","Jin Zheng","Yong Fang","Zhiyuan Liu","Qixiu Cheng"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-12-15T10:08:04Z","doi":"10.2139/ssrn.5873342","addedAt":"2026-08-31T06:39:54.184Z","updatedAt":"2026-08-31T06:39:54.184Z"},{"id":"doi:10.2514/6.2025-3780","name":"Initial Estimation of the Number of Urban Air Mobility Operations at Aerodromes to Assess Operational Limits","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2025-3780","authors":["Somrick Das Biswas","Jonah Gerardus","Kshitij Mall","Daniel Delaurentis","William A. Crossley","Michael D. Patterson","Brandon E. Sells"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-07-16T21:24:43Z","doi":"10.2514/6.2025-3780","addedAt":"2026-08-31T06:39:54.184Z","updatedAt":"2026-08-31T06:39:54.184Z"},{"id":"doi:10.1016/j.urbmob.2025.100161","name":"Data-driven methodology for identifying vehicle-to-grid parking regions in urban areas","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.urbmob.2025.100161","authors":["Antonio Comi","Eskindir Ayele Atumo"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-11-20T19:00:44Z","doi":"10.1016/j.urbmob.2025.100161","addedAt":"2026-08-31T06:39:54.184Z","updatedAt":"2026-08-31T06:39:54.184Z"},{"id":"doi:10.1007/978-3-031-82666-5_4","name":"Urban Mobility","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-031-82666-5_4","authors":["Laura Alessandretti","Michael Szell"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-06-16T15:52:34Z","doi":"10.1007/978-3-031-82666-5_4","addedAt":"2026-08-31T06:39:54.184Z","updatedAt":"2026-08-31T06:39:54.184Z"},{"id":"doi:10.1016/j.urbmob.2025.100147","name":"Exploring capacity building in local governance to implement inclusive digital mobility services","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.urbmob.2025.100147","authors":["Lluis Martinez","Andrea Capaccioli","Mihajlo Djukic","Hannah Hook","Samyajit Basu"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-09-17T04:29:11Z","doi":"10.1016/j.urbmob.2025.100147","addedAt":"2026-08-31T06:39:54.184Z","updatedAt":"2026-08-31T06:39:54.184Z"},{"id":"doi:10.1016/j.urbmob.2025.100138","name":"Transport and mobility governance: Uncovering barriers to walking infrastructure decision-making processes in urban areas in Kenya and Malawi","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.urbmob.2025.100138","authors":["Gladys Nyachieo","Theodora Ndipo Charlotte Thindwa","Anthony Bert Tasosa","Paschalin Basil","Yvonne Moseti","Joel Jere"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-07-20T02:35:35Z","doi":"10.1016/j.urbmob.2025.100138","addedAt":"2026-08-31T06:39:54.184Z","updatedAt":"2026-08-31T06:39:54.184Z"},{"id":"doi:10.1016/j.urbmob.2025.100149","name":"Correlates of formal and informal public transport usage in Windhoek, Namibia","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.urbmob.2025.100149","authors":["Hilma Nuuyandja","Noleen Pisa","Houshmand Masoumi","Chengete Chakamera"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-09-17T14:50:50Z","doi":"10.1016/j.urbmob.2025.100149","addedAt":"2026-08-31T06:39:54.184Z","updatedAt":"2026-08-31T06:39:54.184Z"},{"id":"doi:10.1016/j.urbmob.2025.100136","name":"Understanding user satisfaction with university parking: A grounded theory approach","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.urbmob.2025.100136","authors":["Sai Sneha Channamallu","Apurva Pamidimukkala","Sharareh Kermanshachi","Jay Michael Rosenberger","Greg Hladik"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-07-03T11:51:10Z","doi":"10.1016/j.urbmob.2025.100136","addedAt":"2026-08-31T06:39:54.184Z","updatedAt":"2026-08-31T06:39:54.184Z"},{"id":"doi:10.18356/9789211068771c002","name":"Overview of sustainable urban mobility","source":"crossref","abstract":"","url":"https://doi.org/10.18356/9789211068771c002","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-11-05T07:04:31Z","doi":"10.18356/9789211068771c002","addedAt":"2026-08-31T06:39:54.184Z","updatedAt":"2026-08-31T06:39:54.184Z"},{"id":"doi:10.1063/5.0263842","name":"Path planning and safe navigation strategy for urban air mobility","source":"crossref","abstract":"","url":"https://doi.org/10.1063/5.0263842","authors":["Brightlin Abisha William","Deepashree Udayachandran","Suresh Gowripriya","Suma Hosahalli Shivakumar"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-04-23T17:00:18Z","doi":"10.1063/5.0263842","addedAt":"2026-08-31T06:39:54.184Z","updatedAt":"2026-08-31T06:39:54.184Z"},{"id":"doi:10.4018/979-8-3373-0265-2.ch012","name":"VANET","source":"crossref","abstract":"A new field called Vehicular Adhoc Networks (VANETs) uses wireless local area networks (WLANs) with an ad-hoc topology. Routing complexity and high control overhead are two frequent challenges faced by vehicular ad hoc networks (VANETs). However, most of these initiatives failed to provide a comprehensive solution to the problems associated with routing and control overhead minimization. In order to lower the augmented control overhead, the current work presents an Improved Deep Reinforcement Learning (IDRL) method for routing. As 5G cells arrive, emerging automotive networks could make driving safer, more environmentally friendly, and more efficient. They should also pave the road for autonomous driving. High sequence factors in vehicle settings give rise to a variety of new irritants, which is why remote design approaches are being reconsidered. Future smart cars, which constitute the foundation of high-performance multipurpose networks, are steadily receiving increasingly sophisticated sensors and are still generating vast amounts of data.","url":"https://doi.org/10.4018/979-8-3373-0265-2.ch012","authors":["Varkha Jewani","Prafulla E. Ajmire","Suhashini Awadhesh Chaurasia"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-04-24T16:01:53Z","doi":"10.4018/979-8-3373-0265-2.ch012","addedAt":"2026-08-31T06:39:54.184Z","updatedAt":"2026-08-31T06:39:54.184Z"},{"id":"doi:10.1007/s13272-025-00850-1","name":"Experimental evaluation of bird strikes in urban air mobility","source":"crossref","abstract":"Abstract Since the Wright brothers demonstrated the first powered, sustained, and controlled flight in 1903, the airspace has been shared between birds and humans. Novel aircraft and advanced mobility concepts such as urban air mobility (UAM) are emerging in full swing. In that concept, a safe and efficient aviation transportation system will use highly automated aircraft that will transport passengers or cargo at low altitudes within and between metropolitan regions. To accomplish these missions, new types of aircraft which are sometimes known as air taxis are being developed. A successful integration of these aircraft into existing airspace is complicated and needs to take into account various aspects. One of these is the risk of wildlife strikes in general and bird strikes in particular. While bird strike constitutes a risk to any type of aircraft, the risk is predicted to be higher in case of air taxis. The proposed operational cruising altitude of air taxis is lower resulting in higher probability of collision as these are the altitudes where birds typically fly. In addition, air taxis are smaller in size and have lower certification requirements compared to conventional aircraft. As a result, the severity of damaging bird strikes is higher. To assess the risk and formulate suitable regulations, an extensive analysis is required providing more quantitative insight into the bird strike challenge. Therefore, a theoretical model of bird strike to quantify the impact force exerted due to a strike by considering different bird and aircraft-related parameters was developed previously. This paper aims to validate this theoretical model experimentally. While impact forces have been extensively studied for bird strikes in case of conventional aircraft, this work seeks to apply these principles in a novel context, where traditional aircraft standards may not fully address the unique challenges posed by air taxis. The paper presents a methodology for implementing an experimental setup, allowing for the theoretical impact force model to be fully validated and providing insights into the bird strike influencing parameters. A test matrix containing 7 test cases, 9 test scenarios, and 135 iterations is formulated to conduct the bird strike experiment, and the influencing parameters are considered for theoretical model verification. The paper closes with the presentation of the experimental results for validating the theoretical model which indicate 92.89 % conformance of experimental results with the theoretical model.","url":"https://doi.org/10.1007/s13272-025-00850-1","authors":["Aditya Devta","Isabel C. Metz","Sophie F. Armanini"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-06-07T06:13:57Z","doi":"10.1007/s13272-025-00850-1","addedAt":"2026-08-31T06:39:54.184Z","updatedAt":"2026-08-31T06:39:54.184Z"},{"id":"doi:10.71429/kmcr.2025.25.06.32","name":"The Regional Economic Impact of Urban Air Mobility (UAM) Operations in Jeju : An Input-Output Analysis","source":"crossref","abstract":"","url":"https://doi.org/10.71429/kmcr.2025.25.06.32","authors":["Sanghoon Son","Janghee Cho"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-01-28T01:53:08Z","doi":"10.71429/kmcr.2025.25.06.32","addedAt":"2026-08-31T06:39:54.184Z","updatedAt":"2026-08-31T06:39:57.840Z"},{"id":"doi:10.54941/ahfe1006996","name":"Urban Air Mobility (UAM): Preliminary Task Analysis for a Terminal Corridor Vertiport Concept of Operation","source":"crossref","abstract":"Urban Air Mobility (UAM) refers to a transportation system of cargo and passenger in urban areas. UAM concepts include a mix of onboard, remotely operated, and increasingly autonomous operations (NASA, 2017). Although mature concepts will likely employ remotely piloted vehicle operations or increasing autonomous systems to operate a fleet or network of UAM vehicles, early UAM concepts will likely employ onboard human pilots operating the vehicles (Holbrook et al., 2020). In this paper, a task analysis is presented for a potential near-term UAM concept of operation. The use case is that of terminal UAM operations in a designated corridor with the following operators: UAM fleet manager, onboard UAM pilots, Tower Controller, Vertiport Manager and Automation. The results of the task analysis highlight the roles, responsibilities, and tasks performed by different operators that can inform future design of UAM terminal operations.","url":"https://doi.org/10.54941/ahfe1006996","authors":["Kim-Phuong L. Vu","Thomas Strybel","Vernol Battiste","Quang Dao"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-11-08T15:16:08Z","doi":"10.54941/ahfe1006996","addedAt":"2026-08-31T06:39:54.184Z","updatedAt":"2026-08-31T06:39:54.184Z"},{"id":"doi:10.3390/app15063181","name":"A Survey of the Effects of Vehicle Configuration on Urban Air Mobility","source":"crossref","abstract":"This paper examines developments in urban air mobility (UAM), the configurations and flight mechanisms of different aerial vehicles. Despite the interest generated around UAM, there seems to be a gap in the literature concerning a systematic comparative analysis of different configurations, especially regarding their appropriateness for given applications, performance under fault conditions, and potential in even more foresightful but neglected designs. The other problems standing in the way of current UAM technologies are limited payload capacity, endurance, and energy efficiency, all of which work against successful commercialization. This study, therefore, considers a representation of 53 of the more prominent UAM aircraft, classified into a number of groups, paving a way for the in-depth study of important specifications such as range, speed, endurance, cargo capacity, number of passengers, and dimensions. Twelve general UAM configurations are identified, along with their advantages, disadvantages, and fault tolerance. Some underutilized designs are highlighted as worthy of more attention due to their potential. An attempt is made to link UAM configurations to specific applications, such as transportation, emergency response, and cargo delivery, in order to provide specific recommendations for each application. This work challenges standard design thinking, thus inciting designers to explore unusual avenues. The outcome is a useful analysis for researchers and engineers to look at UAM technologies in a different light while opening up possibilities for unconventional and creative designs.","url":"https://doi.org/10.3390/app15063181","authors":["Shahin Darvishpoor","Jafar Roshanian","Ali Mesbah","Kamyar Haghighi","Benyamin Ebrahimi","Vladimir Serbezov","Krasin Georgiev"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-03-14T13:07:51Z","doi":"10.3390/app15063181","addedAt":"2026-08-31T06:39:54.184Z","updatedAt":"2026-08-31T06:39:54.184Z"},{"id":"doi:10.1016/j.jum.2025.01.004","name":"Discovering the urban pattern through human mobility and virtual space","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.jum.2025.01.004","authors":["Ehsan Dorostkar"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-02-05T20:26:18Z","doi":"10.1016/j.jum.2025.01.004","addedAt":"2026-08-31T06:39:54.184Z","updatedAt":"2026-08-31T06:39:54.184Z"},{"id":"doi:10.1109/percomworkshops65533.2025.00060","name":"CITRUS: Cost and Ischemia Time Reduction using Urban Air Mobility Solutions for Organ Transport","source":"crossref","abstract":"","url":"https://doi.org/10.1109/percomworkshops65533.2025.00060","authors":["Debjyoti Sengupta","Anurag Satpathy","Arindam Khanda","Sajal K. Das"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-06-19T17:36:08Z","doi":"10.1109/percomworkshops65533.2025.00060","addedAt":"2026-08-31T06:39:54.184Z","updatedAt":"2026-08-31T06:39:54.184Z"},{"id":"doi:10.1109/dasc66011.2025.11257161","name":"Demand-Driven Fleet Mix Optimization for Urban Air Mobility Operations","source":"crossref","abstract":"","url":"https://doi.org/10.1109/dasc66011.2025.11257161","authors":["Minji Shin","Sang Hyun Kim"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-12-02T18:45:18Z","doi":"10.1109/dasc66011.2025.11257161","addedAt":"2026-08-31T06:39:54.184Z","updatedAt":"2026-08-31T06:39:54.184Z"},{"id":"doi:10.7470/jkst.2025.43.5.523","name":"A Study of Designing Networks for Urban Air Mobility in Seoul Metropolitan Area","source":"crossref","abstract":"","url":"https://doi.org/10.7470/jkst.2025.43.5.523","authors":["Inhoe JEONG","Bongsoo SON"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-10-30T01:22:27Z","doi":"10.7470/jkst.2025.43.5.523","addedAt":"2026-08-31T06:39:54.184Z","updatedAt":"2026-08-31T06:39:54.184Z"},{"id":"doi:10.1007/s12206-024-1204-8","name":"Partial loudness-based perceptual noise analysis of multirotor type urban air mobility VTOL","source":"crossref","abstract":"","url":"https://doi.org/10.1007/s12206-024-1204-8","authors":["Wonhee Lee","Younghoon Kim","Jaeheon Jeong","Soogab Lee"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-01-06T04:31:08Z","doi":"10.1007/s12206-024-1204-8","addedAt":"2026-08-31T06:39:54.184Z","updatedAt":"2026-08-31T06:39:54.184Z"},{"id":"doi:10.2307/jj.28833769.22","name":"[Part V: Introduction]","source":"crossref","abstract":"","url":"https://doi.org/10.2307/jj.28833769.22","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-11-12T20:21:37Z","doi":"10.2307/jj.28833769.22","addedAt":"2026-08-31T06:39:54.184Z","updatedAt":"2026-08-31T06:39:54.184Z"},{"id":"doi:10.1016/b978-0-443-34160-1.00003-1","name":"Identifying effective risk management policies for sustainable urban transportation projects","source":"crossref","abstract":"","url":"https://doi.org/10.1016/b978-0-443-34160-1.00003-1","authors":["Hasan Dinçer","Serhat Yüksel","Serkan Eti"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-07-23T09:59:25Z","doi":"10.1016/b978-0-443-34160-1.00003-1","addedAt":"2026-08-31T06:39:54.184Z","updatedAt":"2026-08-31T06:39:54.184Z"},{"id":"doi:10.2307/jj.28833769.5","name":"Foreword","source":"crossref","abstract":"","url":"https://doi.org/10.2307/jj.28833769.5","authors":["David Banister"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-11-12T20:21:37Z","doi":"10.2307/jj.28833769.5","addedAt":"2026-08-31T06:39:54.184Z","updatedAt":"2026-08-31T06:39:54.184Z"},{"id":"doi:10.2307/jj.28833769.2","name":"Table of Contents","source":"crossref","abstract":"","url":"https://doi.org/10.2307/jj.28833769.2","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-11-12T20:21:37Z","doi":"10.2307/jj.28833769.2","addedAt":"2026-08-31T06:39:54.184Z","updatedAt":"2026-08-31T06:39:54.184Z"},{"id":"doi:10.2307/jj.28833769.4","name":"List of tables","source":"crossref","abstract":"","url":"https://doi.org/10.2307/jj.28833769.4","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-11-12T20:21:37Z","doi":"10.2307/jj.28833769.4","addedAt":"2026-08-31T06:39:54.184Z","updatedAt":"2026-08-31T06:39:54.184Z"},{"id":"doi:10.2307/jj.28833769.29","name":"[Part VI: Introduction]","source":"crossref","abstract":"","url":"https://doi.org/10.2307/jj.28833769.29","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-11-12T20:21:37Z","doi":"10.2307/jj.28833769.29","addedAt":"2026-08-31T06:39:54.184Z","updatedAt":"2026-08-31T06:39:54.184Z"},{"id":"doi:10.2139/ssrn.5434534","name":"Modeling Binary Spatio-Temporal Systems for Urban Mobility Prediction","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.5434534","authors":["Rodrigo Garrido"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-09-03T02:43:21Z","doi":"10.2139/ssrn.5434534","addedAt":"2026-08-31T06:39:54.184Z","updatedAt":"2026-08-31T06:39:54.184Z"},{"id":"doi:10.2307/jj.28833769.21","name":"Rio de Janeiro","source":"crossref","abstract":"","url":"https://doi.org/10.2307/jj.28833769.21","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-11-12T20:21:37Z","doi":"10.2307/jj.28833769.21","addedAt":"2026-08-31T06:39:54.184Z","updatedAt":"2026-08-31T06:39:54.184Z"},{"id":"doi:10.2307/jj.28833769.20","name":"London, King’s Cross","source":"crossref","abstract":"","url":"https://doi.org/10.2307/jj.28833769.20","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-11-12T20:21:37Z","doi":"10.2307/jj.28833769.20","addedAt":"2026-08-31T06:39:54.184Z","updatedAt":"2026-08-31T06:39:54.184Z"},{"id":"doi:10.2307/jj.28833769.3","name":"List of figures","source":"crossref","abstract":"","url":"https://doi.org/10.2307/jj.28833769.3","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-11-12T20:21:37Z","doi":"10.2307/jj.28833769.3","addedAt":"2026-08-31T06:39:54.184Z","updatedAt":"2026-08-31T06:39:54.184Z"},{"id":"doi:10.1016/j.urbmob.2025.100165","name":"Perceptions of autonomous vehicles among older adults and people with physical disability","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.urbmob.2025.100165","authors":["Arkar Than Win","John D. Nelson","Chinh Ho"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-11-21T04:31:34Z","doi":"10.1016/j.urbmob.2025.100165","addedAt":"2026-08-31T06:39:54.184Z","updatedAt":"2026-08-31T06:39:54.184Z"},{"id":"doi:10.1016/j.urbmob.2025.100121","name":"Stakeholders’ viewpoints analysis on mobility as a service using the MAMCA and the fuzzy AHP method","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.urbmob.2025.100121","authors":["Willy Kriswardhana","Domokos Esztergár-Kiss"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-04-26T14:58:13Z","doi":"10.1016/j.urbmob.2025.100121","addedAt":"2026-08-31T06:39:54.185Z","updatedAt":"2026-08-31T06:39:54.185Z"},{"id":"doi:10.2307/jj.28833769.18","name":"[Part IV: Introduction]","source":"crossref","abstract":"","url":"https://doi.org/10.2307/jj.28833769.18","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-11-12T20:21:37Z","doi":"10.2307/jj.28833769.18","addedAt":"2026-08-31T06:39:54.185Z","updatedAt":"2026-08-31T06:39:54.185Z"},{"id":"doi:10.2307/jj.28833769.26","name":"Dar es Salaam","source":"crossref","abstract":"","url":"https://doi.org/10.2307/jj.28833769.26","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-11-12T20:21:37Z","doi":"10.2307/jj.28833769.26","addedAt":"2026-08-31T06:39:54.185Z","updatedAt":"2026-08-31T06:39:54.185Z"},{"id":"doi:10.2307/jj.28833769.33","name":"[Part VII: Introduction]","source":"crossref","abstract":"","url":"https://doi.org/10.2307/jj.28833769.33","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-11-12T20:21:37Z","doi":"10.2307/jj.28833769.33","addedAt":"2026-08-31T06:39:54.185Z","updatedAt":"2026-08-31T06:39:54.185Z"},{"id":"doi:10.2307/jj.28833769.12","name":"[Part III: Introduction]","source":"crossref","abstract":"","url":"https://doi.org/10.2307/jj.28833769.12","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-11-12T20:21:37Z","doi":"10.2307/jj.28833769.12","addedAt":"2026-08-31T06:39:54.185Z","updatedAt":"2026-08-31T06:39:54.185Z"},{"id":"doi:10.4018/979-8-3373-0882-1.ch004","name":"Ethical and Social Implications of Urban Mobility","source":"crossref","abstract":"Urban mobility determines the vector of economic development of territories. And if the positive aspects of it have been studied quite fully, its negative aspects have not been studied sufficiently. A systemic view of the problem of urban mobility determines not only the formulation of tasks, but also determines the methods of their solution. The chapter uses an interdisciplinary approach, including the analysis of normative documents, statistical data, a comparative study of foreign experience. Content analysis methods of interviews with experts in the field of urbanism were used to study ethical aspects. The results of the study revealed that urban mobility contributes to the deepening of social stratification in a number of cities. The analysis shows that effective urban mobility management should be based on the principles of social justice, environmental sustainability, and ethical responsibility. The chapter provides recommendations for the implementation of inclusive transport solutions and emphasizes the importance of integrating ethical principles into an urban policymaking.","url":"https://doi.org/10.4018/979-8-3373-0882-1.ch004","authors":["Maxim Kirillovich Izmaylov","Galina Yurievna Silkina","Maria Gennadievna Livintsova","Viliyan Krastev"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-07-31T13:27:13Z","doi":"10.4018/979-8-3373-0882-1.ch004","addedAt":"2026-08-31T06:39:54.185Z","updatedAt":"2026-08-31T06:39:54.185Z"},{"id":"doi:10.1016/j.urbmob.2024.100097","name":"Motility as a mediating variable in the influence of environmental concern on mobility habits","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.urbmob.2024.100097","authors":["Alexis Gumy","Eloi Bernier","Guillaume Drevon","Vincent Kaufmann","Thomas Buhler"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-12-24T17:37:41Z","doi":"10.1016/j.urbmob.2024.100097","addedAt":"2026-08-31T06:39:54.185Z","updatedAt":"2026-08-31T06:39:54.185Z"},{"id":"doi:10.1016/j.urbmob.2025.100164","name":"Accessibility routing model for the safe navigation of vulnerable road users in urban environments","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.urbmob.2025.100164","authors":["Konstantinos Kaselouris","Xenia Karekla","Anastasia Koupani","Konstantinos Gkiotsalitis"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-11-17T01:14:59Z","doi":"10.1016/j.urbmob.2025.100164","addedAt":"2026-08-31T06:39:54.185Z","updatedAt":"2026-08-31T06:39:54.185Z"},{"id":"doi:10.1201/9781003503262-12","name":"Prediction and Analysis of Urban Mobility Based on Attention Mechanism and Geographic Information Embedding","source":"crossref","abstract":"","url":"https://doi.org/10.1201/9781003503262-12","authors":["Yao Yao","Zijin Guo"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-05-30T09:52:49Z","doi":"10.1201/9781003503262-12","addedAt":"2026-08-31T06:39:54.185Z","updatedAt":"2026-08-31T06:39:54.185Z"},{"id":"doi:10.1016/j.urbmob.2025.100148","name":"Digital Trojan horse – urban tools in a non-urban environment. How to inform tourist travel decisions by means of a multi-service mobile app","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.urbmob.2025.100148","authors":["Bartosz Bursa","Felix Mölk","Gottfried Tappeiner","Sebastian Vicoli","Alessa Heeß","Markus Mailer"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-09-27T07:30:10Z","doi":"10.1016/j.urbmob.2025.100148","addedAt":"2026-08-31T06:39:54.185Z","updatedAt":"2026-08-31T06:39:54.185Z"},{"id":"doi:10.4018/979-8-3373-0265-2.ch013","name":"Blockchain Enhanced VANETs for Secure, Resilient, and Efficient Urban Mobility","source":"crossref","abstract":"As urban populations grow, cities face increasing challenges in developing transportation systems that are both efficient and secure. Vehicular Ad Hoc Networks (VANETs) provide a promising solution by enabling real-time communication between vehicles and infrastructure, improving road safety and optimizing traffic flow. However, VANETs encounter issues related to data integrity, privacy, and scalability. The integration of blockchain technology offers a secure, decentralized framework for data sharing and identity verification. This chapter introduces a blockchain-enhanced VANET architecture that tackles these challenges by, Proof-of-Work (PoW) consensus for VANETs, enabling vehicles and infrastructure nodes to share computational efforts with the help of collabrative mining. This approach addresses the resource constraints and real-time requirements typical in VANET environments. enhancing security, reducing traffic delays, and improving system resilience, offering a transformative approach to urban mobility.","url":"https://doi.org/10.4018/979-8-3373-0265-2.ch013","authors":["Krupali Rupesh Dhawale","Parul Dubey","A. R. Patil Bhagat"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-04-24T16:01:53Z","doi":"10.4018/979-8-3373-0265-2.ch013","addedAt":"2026-08-31T06:39:54.185Z","updatedAt":"2026-08-31T06:39:54.185Z"},{"id":"doi:10.3390/drones9120863","name":"Development and Validation of a Custom Stochastic Microscale Wind Model for Urban Air Mobility Applications","source":"crossref","abstract":"Urban air mobility operations, such as flying Uncrewed Aerial Vehicles (UAVs) and small passenger aircraft in and around cities, will be inherently susceptible to the turbulent wind conditions in urban environments. Therefore, understanding UAM aircraft performance under microscale wind disturbances is critical. Gaining such insight is non-trivial due to the lack of sufficient UAM aircraft operational data and the complexities involved in flight testing UAM aircraft. A viable solution to overcome this hindrance is through simulation-based flight testing, data collection, and performance assessment. To support this effort, the present paper establishes a custom Stochastic microscale Wind Model (SWM) capable of efficiently generating high-resolution, spatio-temporally varying urban wind fields. The SWM is validated against wind tunnel test data, and subsequently, the findings are employed to guide targeted refinements of urban wake simulation. Furthermore, to incorporate realistic atmospheric conditions and demonstrate the ability to generate location-specific wind fields, the SWM is coupled with the mesoscale Weather Research and Forecasting (WRF) model. This integrated approach is demonstrated through a case study focused on a potential vertiport site in Milan, Italy, illustrating its utility for assessing operational area-specific UAM aircraft performance and vertiport emplacement.","url":"https://doi.org/10.3390/drones9120863","authors":["D S Nithya","Francesca Monteleone","Giuseppe Quaranta","Man Liang","Vincenzo Muscarello"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-12-16T09:57:24Z","doi":"10.3390/drones9120863","addedAt":"2026-08-31T06:39:54.185Z","updatedAt":"2026-08-31T06:39:54.185Z"},{"id":"doi:10.2322/jjsass.73.126","name":"Prediction of Hazardous Winds Directly Above a Vertiport for Urban Air Mobility Using a Pressure Observation Network","source":"crossref","abstract":"","url":"https://doi.org/10.2322/jjsass.73.126","authors":["Jin Fujisawa","Midori Maki"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-08-04T22:07:37Z","doi":"10.2322/jjsass.73.126","addedAt":"2026-08-31T06:39:54.185Z","updatedAt":"2026-08-31T06:39:54.185Z"},{"id":"doi:10.5194/egusphere-egu24-15311","name":"Estimating the impact of mobility scenarios on urban air quality - a regional scale analysis","source":"crossref","abstract":"Atmospheric pollution is pointed out by the World Health Organization as the responsible for approximately 7 million premature deaths per year, and different approaches are investigated worldwide to reduce the high concentrations observed in urban areas. Regional-scale concentrations are influenced by different sources of pollutants, such as residences, industries and road traffic. Particularly road traffic is one of the important sources of regulated and emerging pollutants, including fine and ultra-fine particles, nitrogen dioxide and black carbon. Nevertheless, the traffic emission rate of each pollutant depends on the vehicle characteristics: the vehicle type, fuel and the vehicle manufacturing year. Urban mobility is, then, a key aspect to determine the total amount of traffic emissions, and choices related to the available modes of transport in a city may have an important role in urban air quality. This study investigates the influence of five extreme mobility scenarios on pollutant emissions and concentrations in urban air quality. In each scenario very strong limitations on road traffic are adopted: (i) a limited electrification of private and commercial vehicles and a shift to soft mobility, (ii) a significant increase in the number of users per car and reduced use of private cars car, (iii) a total electrification of the fleet (Paris-region target for 2030), (iv) limits on private vehicles circulation in specific areas, and (v) the implementation of all these measures simultaneously. For this, the regional-scale model CHIMERE is employed to calculate the concentrations of multi-pollutants with a 1 km x 1 km spatial resolution. A special focus is given to the emerging pollutants black carbon and ultra-fine particles. In this study CHIMERE is coupled with the chemical module SSH-aerosol, which enables the representation of aerosol dynamics with the state-of-art modules available in the literature. Simulations are performed in Paris during summer 2022. This study shows the potentialities of an air-quality modeling approach to understand trends in concentrations according to scenarios aiming to reduce population exposure to atmospheric pollution.&amp;#160;","url":"https://doi.org/10.5194/egusphere-egu24-15311","authors":["Lya Lugon","Chloé Kemgne","Valentine Le Vot","Nicolas Mauchard","Bérénice Vu Quang","Chaopeng Wang","Jérémy Vigneron","Fabrice Dugay","Olivier Sanchez","Karine Sartelet"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-03-09T02:09:04Z","doi":"10.5194/egusphere-egu24-15311","addedAt":"2026-08-31T06:39:54.185Z","updatedAt":"2026-08-31T06:39:54.185Z"},{"id":"doi:10.1016/j.urbmob.2025.100163","name":"From district to street: A multi-scale analysis of spatial justice through the 15-minute city framework in Beyoğlu, Istanbul","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.urbmob.2025.100163","authors":["Zehra Özcelik","Cenk Hamamcioglu"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-11-06T23:11:46Z","doi":"10.1016/j.urbmob.2025.100163","addedAt":"2026-08-31T06:39:54.185Z","updatedAt":"2026-08-31T06:39:54.185Z"},{"id":"doi:10.1016/j.regsciurbeco.2025.104126","name":"Tax progressivity and mobility costs","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.regsciurbeco.2025.104126","authors":["Daniele Coen-Pirani"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-07-02T02:22:18Z","doi":"10.1016/j.regsciurbeco.2025.104126","addedAt":"2026-08-31T06:39:54.185Z","updatedAt":"2026-08-31T06:39:54.185Z"},{"id":"doi:10.1016/j.urbmob.2025.100146","name":"A systematic review of user preferences toward private charging point sharing service for electric vehicles","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.urbmob.2025.100146","authors":["Sietse Touker","Aloys Borgers","Feixiong Liao"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-09-02T18:34:12Z","doi":"10.1016/j.urbmob.2025.100146","addedAt":"2026-08-31T06:39:54.185Z","updatedAt":"2026-08-31T06:39:57.841Z"},{"id":"doi:10.1109/ojvt.2025.3551209","name":"Aerial-Terrestrial Heterogeneous Networks for Urban Air Mobility: A Performance Analysis","source":"crossref","abstract":"","url":"https://doi.org/10.1109/ojvt.2025.3551209","authors":["Abdullah Abu Zaid","Baha Eddine Youcef Belmekki","Mohamed-Slim Alouini"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-03-14T18:02:18Z","doi":"10.1109/ojvt.2025.3551209","addedAt":"2026-08-31T06:39:54.185Z","updatedAt":"2026-08-31T06:39:54.185Z"},{"id":"doi:10.57590/1120-5032-202504eng-2","name":"The Drivers of Change in Urban Mobility","source":"crossref","abstract":"","url":"https://doi.org/10.57590/1120-5032-202504eng-2","authors":["Fabrizio Zerbini"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-12-22T15:14:33Z","doi":"10.57590/1120-5032-202504eng-2","addedAt":"2026-08-31T06:39:54.185Z","updatedAt":"2026-08-31T06:39:54.185Z"},{"id":"doi:10.1016/j.urbmob.2025.100118","name":"Exploring the gender inclusivity of mobility as a service through the access based consumption framework: A UK case study","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.urbmob.2025.100118","authors":["Maurizio Catulli","Robyn Thomas","Russell Fenner","Scott L. Copsey","Sue Walsh"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-04-19T23:55:19Z","doi":"10.1016/j.urbmob.2025.100118","addedAt":"2026-08-31T06:39:54.185Z","updatedAt":"2026-08-31T06:39:54.185Z"},{"id":"doi:10.1201/9781003605539-8","name":"Mobility-as-a-Service for Desired Autonomous Vehicle Impact","source":"crossref","abstract":"","url":"https://doi.org/10.1201/9781003605539-8","authors":["Tan Yigitcanlar"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-06-18T13:17:51Z","doi":"10.1201/9781003605539-8","addedAt":"2026-08-31T06:39:54.185Z","updatedAt":"2026-08-31T06:39:54.185Z"},{"id":"doi:10.1145/3764925.3770911","name":"Capturing Shared and Unique Information in Multimodal Region Representations for Urban Mobility Prediction","source":"crossref","abstract":"","url":"https://doi.org/10.1145/3764925.3770911","authors":["Min Namgung","JangHyeon Lee","Yijun Lin","Yao-Yi Chiang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-12-02T18:01:51Z","doi":"10.1145/3764925.3770911","addedAt":"2026-08-31T06:39:54.185Z","updatedAt":"2026-08-31T06:39:54.185Z"},{"id":"doi:10.1016/j.urbmob.2025.100168","name":"The 15-minute city in the Global South: Modeling spatial accessibility and measuring social equity across seven major Iranian cities","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.urbmob.2025.100168","authors":["Babak Badakhshan","Ayyoob Sharifi","Samira Ramezani"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-11-26T22:00:36Z","doi":"10.1016/j.urbmob.2025.100168","addedAt":"2026-08-31T06:39:54.185Z","updatedAt":"2026-08-31T06:39:54.185Z"},{"id":"doi:10.1016/j.urbmob.2025.100110","name":"Autonomous delivery robots: differences in consumer´s acceptance in the USA, Europe, and Asia","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.urbmob.2025.100110","authors":["Mariana Montero-Vega","Miquel Estrada","Matthieu Prouvier","Alexander Siebeneich"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-04-01T15:04:11Z","doi":"10.1016/j.urbmob.2025.100110","addedAt":"2026-08-31T06:39:54.185Z","updatedAt":"2026-08-31T06:39:54.185Z"},{"id":"doi:10.1016/j.tranpol.2025.01.026","name":"Governing mobility hubs in the sustainable urban mobility transition: Dynamics of stability and change","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.tranpol.2025.01.026","authors":["Julia Hansel"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-01-18T11:16:54Z","doi":"10.1016/j.tranpol.2025.01.026","addedAt":"2026-08-31T06:39:54.185Z","updatedAt":"2026-08-31T06:39:54.185Z"},{"id":"doi:10.1016/j.urbmob.2025.100153","name":"Rail transit ridership changes in COVID-19: Lessons for station area planning in California","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.urbmob.2025.100153","authors":["Meiqing Li","Daniel A. Rodriguez","Susie Pike","Michael McNally"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-09-24T10:47:46Z","doi":"10.1016/j.urbmob.2025.100153","addedAt":"2026-08-31T06:39:54.185Z","updatedAt":"2026-08-31T06:39:54.185Z"},{"id":"doi:10.22313/reik.2025.23.4.25","name":"Factors Affecting the Adoption of Urban Air Mobility (UAM) in Jeju","source":"crossref","abstract":"","url":"https://doi.org/10.22313/reik.2025.23.4.25","authors":["So Yeon Kim","Ho-Jin Lee"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-12-31T01:38:35Z","doi":"10.22313/reik.2025.23.4.25","addedAt":"2026-08-31T06:39:54.185Z","updatedAt":"2026-08-31T06:39:54.185Z"},{"id":"doi:10.2139/ssrn.5767089","name":"Decarbonizing Urban Mobility: Policy Pathways for Rapidly Growing Asian Cities","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.5767089","authors":["Muhammad Soban"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-11-18T20:56:16Z","doi":"10.2139/ssrn.5767089","addedAt":"2026-08-31T06:39:54.185Z","updatedAt":"2026-08-31T06:39:54.185Z"},{"id":"doi:10.1016/j.urbmob.2025.100135","name":"Delineating potential DRT operating areas: An origin–destination clustering approach","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.urbmob.2025.100135","authors":["Hussein Mahfouz","Malcolm Morgan","Eva Heinen","Robin Lovelace"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-07-17T09:25:19Z","doi":"10.1016/j.urbmob.2025.100135","addedAt":"2026-08-31T06:39:54.185Z","updatedAt":"2026-08-31T06:39:54.185Z"},{"id":"doi:10.1007/s13272-024-00802-1","name":"Introducing digital air-traffic controllers for urban-air mobility to ensure safe and energy-efficient flight operations","source":"crossref","abstract":"Abstract Facing the continued growth of cities, the introduction of urban-air mobility intends to reduce traffic congestion and improve the quality of services such as on-demand-transport, reduced travel times and increased connectivity. Nevertheless, its integration into existing air-traffic flows remains one of the biggest challenges ahead, especially once controlled airspace overlaps with urban-air mobility areas, such as at airport control zones. Here, air-traffic control needs to coordinate amobng urban-air mobility vehicles and conventional air traffic. In 2022, DLR conducted a human-in-the-loop simulation with ten air-traffic controllers to validate previously developed workflows for that coordination task applied for Hamburg airport. The simulation results revealed that additional urban-air mobility traffic increases controllers’ experienced workload up to 30% while slightly reducing their perceived situation awareness. Thus, a majority of controllers participating in the trials suggested to introduce an additional controller working position to exclusively control airtaxis and traffic following visual flight rules. This option is assessed as owning a high potential as cost intensive adaptions of regulations and procedures can be omitted. Nevertheless, the feasibility of this option is rather low due to the limited availability of endorsed human controllers. This study proposes a concept for a digital controller taking the responsibility of guidance for airtaxis under visual flight rules traffic (abbr. VFR) within a control zone. This digital controller is named “UAM digital controller” (abbr. UDC) and based on algorithms calculating slots and trajectories which have been validated in previous DLR projects. The UDC coordinates with the human controller once a potential conflict is detected. Within the study, first the concept of the digital controller is defined, following existing work. As a second step, a theoretical evaluation based on an air-traffic control task model and an operational concept for airtaxi integration will analyze the task load reduction for the human controller. Last but not least, the expected energy saving of flight operations by the digital controllers will be assessed.","url":"https://doi.org/10.1007/s13272-024-00802-1","authors":["S. Schier-Morgenthal","R. Abdellaoui","I. C. Metz"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-01-17T23:43:24Z","doi":"10.1007/s13272-024-00802-1","addedAt":"2026-08-31T06:39:54.185Z","updatedAt":"2026-08-31T06:39:54.185Z"},{"id":"doi:10.1016/j.urbmob.2025.100120","name":"Transit and Bikeshare Connectivity in Detroit: New Insights on Socioeconomic and Infrastructure Factors Impacting Perceived Quality of Service","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.urbmob.2025.100120","authors":["Anahita Zahertar","Steven Lavrenz"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-04-23T15:10:13Z","doi":"10.1016/j.urbmob.2025.100120","addedAt":"2026-08-31T06:39:54.185Z","updatedAt":"2026-08-31T06:39:54.185Z"},{"id":"doi:10.1109/leficlu65987.2025.11297254","name":"Optimizing Drone Delivery Networks for Urban Air Mobility: A Comparative Analysis","source":"crossref","abstract":"","url":"https://doi.org/10.1109/leficlu65987.2025.11297254","authors":["Elham Fakhraian","El-Houssaine Aghezzaf","Ivana Semanjski"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-12-19T18:56:52Z","doi":"10.1109/leficlu65987.2025.11297254","addedAt":"2026-08-31T06:39:54.185Z","updatedAt":"2026-08-31T06:39:54.185Z"},{"id":"doi:10.3390/land14040817","name":"A Methodology for Using Dynamic Visualizations to Enhance Citizens Engagement in Mobility Planning in Thessaloniki","source":"crossref","abstract":"Many cities are developing semantic 3D models as digital representation of their environment to assess the outcomes of the implementation of new mobility services before their real-life piloting. So far, digital twins have reinforced evidence-based approaches for policy-making. The purpose of this paper is to present how digital twins can be used as a tool for vulnerable citizen engagement, improving efficiency of co-creation in mobility planning. An innovative methodological approach of integrating digital twins in engagement processes, by transforming them from real-time data-driven replicas, targeted to the facilitation of the decision-making process for the public authorities to a tool for enhancing citizen engagement in the mobility context has been developed and tested in Thessaloniki Smart Mobility Living Lab. Through a 3-steps workshops’ approach, the mobility needs set by vulnerable users are collected, prioritized and matched with policy plans. By combining citizens feedback with real-time data incorporated in digital twins, citizens receive back visualized scenarios of the impact of specific mobility measures on their neighborhoods. By lifting the citizen engagement in mobility planning to the next participatory level, the results of the study create a bridge between participatory processes and digital twins.","url":"https://doi.org/10.3390/land14040817","authors":["Maria Konstantinidou","Josep Maria Salanova Grau"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-04-10T10:47:41Z","doi":"10.3390/land14040817","addedAt":"2026-08-31T06:39:54.185Z","updatedAt":"2026-08-31T06:39:54.185Z"},{"id":"doi:10.1016/j.sftr.2025.100777","name":"Demographics, technology acceptance, and willingness to pay: a pilot study on urban air mobility adoption in Indonesia","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.sftr.2025.100777","authors":["Fitri Trapsilawati","Trusti Hapsari","Iqbal Fikri","Muhammad Addinul Haniv","Widya Sari","Zainal Arifin Harahap"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-06-02T19:46:59Z","doi":"10.1016/j.sftr.2025.100777","addedAt":"2026-08-31T06:39:54.185Z","updatedAt":"2026-08-31T06:39:54.185Z"},{"id":"doi:10.2139/ssrn.5333550","name":"Composite-Based Additive Manufacturing (Cbam): Mechanical Characterization of High-Throughput Thermoplastic Composites and Demonstration for Urban Air Mobility Application","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.5333550","authors":["Soyeon Park","Samiul Alam","Gavin Stoker","Kjersten Segura","Won  Gyo Seo","Devin Young","Juhyeong Lee","Dae Han Sung"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-07-01T15:20:25Z","doi":"10.2139/ssrn.5333550","addedAt":"2026-08-31T06:39:54.185Z","updatedAt":"2026-08-31T06:39:54.185Z"},{"id":"doi:10.3390/futuretransp5020058","name":"Optimal Location of Urban Air Mobility (UAM) Vertiport Using a Three-Stage Geospatial Analysis Framework","source":"crossref","abstract":"Recent advancements in aviation and automation technologies have catalyzed the emergence of Urban Air Mobility (UAM), an innovative transportation paradigm involving the use of automated vertical take-off and landing aircraft for intra-city passenger travel. Despite growing global interest, the development and application of integrated geospatial frameworks for UAM infrastructure planning—particularly vertiport siting—remain limited. Thus, this study proposes a three-stage geospatial analysis framework, which consists of (1) Suitability analysis, employing multi-criteria decision-making techniques; (2) Regulation analysis, which screens out parcels restricted by aviation safety standards, land-use policies, and other statutory constraints; and (3) Location-allocation analysis, which spatially optimizes vertiport distribution in accordance with urban master plans and strategic transport priorities. Then, this framework is empirically applied to two South Korean UAM pilot sites—Busan and Jeju. The findings reveal that high-suitability areas are predominantly concentrated in dense urban cores with strong multimodal connectivity and mixed land-use configurations. However, a significant proportion of these zones are rendered infeasible due to regulatory exclusions, such as military flight paths and restricted airspace. Additionally, areas with lower suitability—often home to marginalized populations—raise critical equity concerns. This study contributes to the advancement of urban geospatial analytics by presenting a replicable methodological framework for vertiport site selection, while offering strategic insights to inform early-stage UAM deployment initiatives.","url":"https://doi.org/10.3390/futuretransp5020058","authors":["Sangwan Lee","Nahye Cho"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-05-02T08:28:11Z","doi":"10.3390/futuretransp5020058","addedAt":"2026-08-31T06:39:54.185Z","updatedAt":"2026-08-31T06:39:54.185Z"},{"id":"doi:10.1016/j.trc.2025.105281","name":"Integrating urban air mobility into the power grid through smart charging solutions","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.trc.2025.105281","authors":["Jiaman Wu","Shangqing Cao","Mark Hansen","Marta C. González"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-08-08T17:43:37Z","doi":"10.1016/j.trc.2025.105281","addedAt":"2026-08-31T06:39:54.185Z","updatedAt":"2026-08-31T06:39:54.185Z"},{"id":"doi:10.1016/j.tranpol.2025.103795","name":"Green, safe, and Cost-Effective? An integrated structural analysis of public acceptance of urban air mobility","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.tranpol.2025.103795","authors":["Xiangyu Li","Anrong Dang","Maini Chen"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-09-04T15:58:08Z","doi":"10.1016/j.tranpol.2025.103795","addedAt":"2026-08-31T06:39:54.185Z","updatedAt":"2026-08-31T06:39:54.185Z"},{"id":"doi:10.3390/app15073965","name":"Network Topology-Driven Vertiport Placement Strategy: Integrating Urban Air Mobility with the Seoul Metropolitan Railway System","source":"crossref","abstract":"We propose a vertiport location-allocation methodology for urban air mobility (UAM) from the perspective of transportation network topology. The location allocation of vertiports within a transportation network is a crucial factor in determining the unique characteristics of UAM compared to existing transportation modes. However, as UAM is still in the pre-commercialization phase, with significant uncertainties, there are limitations in applying location-allocation models that optimize objective functions such as maximizing service coverage or minimizing travel distance. Instead, vertiport location allocation should be approached from a strategic perspective, taking into account public capital investments aimed at improving the transportation network by leveraging UAM’s distinct characteristics compared to existing urban transportation modes. Therefore, we present a methodology for evaluating the impact of vertiport location-allocation strategies on changes in transportation network topology. To analyze network topology, we use the Seoul Metropolitan railway network as the base network and construct scenarios where vertiports are allocated based on highly connected nodes and those prioritizing structurally vulnerable nodes. We then compare and analyze global network efficiency, algebraic connectivity, average shortest path length, local clustering coefficient, transitivity, degree assortativity and modularity. We confirm that while allocating vertiports based on network centrality improves connectivity compared to vulnerability-based allocation, the latter approach is superior in terms of network efficiency. Additionally, as the proportion of vertiports increases, the small-world property of the network rapidly increases, indicating that the vertiport network can fundamentally alter the structure of multimodal transportation systems. Regardless of whether centrality or vulnerability is prioritized, we observe that connectivity increase exponentially, while network efficiency changes linearly with the increase in vertiport proportion. Our findings highlight the necessity of a network-based approach to vertiport location allocation in the early stages of UAM commercialization, and we expect our results to inform future research directions on vertiport allocation in multimodal transportation networks.","url":"https://doi.org/10.3390/app15073965","authors":["Ki-Han Song","HaJeong Lee"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-04-04T06:52:56Z","doi":"10.3390/app15073965","addedAt":"2026-08-31T06:39:54.185Z","updatedAt":"2026-08-31T06:39:54.185Z"},{"id":"doi:10.4018/979-8-3373-0265-2.ch008","name":"Secure Data Exchange in VANETs Using Blockchain and Support Vector Machines for Smart Urban Mobility","source":"crossref","abstract":"This research proposes a machine learning-based framework integrating blockchain technology and Support Vector Machines (SVM) to secure data exchange in Vehicular Ad Hoc Networks (VANETs) for smart urban mobility. VANETs, essential to modern smart city infrastructure, enable vehicle-to-vehicle and vehicle-to-infrastructure communication, facilitating real-time information sharing. However, these networks face significant security and privacy challenges due to their open and dynamic nature. By employing blockchain, the framework ensures data integrity and prevents unauthorized access, creating a secure environment for data transactions within VANETs. The SVM algorithm enhances data processing efficiency by accurately classifying and filtering data exchanged across the network, mitigating potential threats and minimizing vulnerabilities.","url":"https://doi.org/10.4018/979-8-3373-0265-2.ch008","authors":["R. Karthikeyan","K. Swaminathan","Sivaram Ponnusamy"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-04-24T16:01:53Z","doi":"10.4018/979-8-3373-0265-2.ch008","addedAt":"2026-08-31T06:39:54.185Z","updatedAt":"2026-08-31T06:39:54.185Z"},{"id":"doi:10.3390/urbansci9090335","name":"AI-Driven Urban Mobility Solutions: Shaping Bucharest as a Smart City","source":"crossref","abstract":"The metropolitan agglomeration in and around Bucharest, Romania’s capital and largest city, has experienced significant growth in recent decades, both economically and demographically. With over two million residents in its metropolitan area, Bucharest faces urban mobility challenges characterized by congested roads, overcrowded public transport routes, limited parking, and air pollution. This study evaluates the potential of AI-driven adaptive traffic signal control to address these challenges using an agent-based simulation approach. The authors focus on Bucharest’s north-western part, a critical congestion area. A detailed road network was derived from OpenStreetMap and calibrated with empirical traffic data from TomTom Junction Analytics and Route Monitoring (corridor-level speeds and junction-level turn ratios). Using the MATSim framework, the authors implemented and compared fixed-time and adaptive signal control scenarios. The adaptive approach uses a decentralized, demand-responsive algorithm to minimize delays and queue spillback in real time. Simulation results indicate that adaptive signal control significantly improves network-wide average speeds, reduces congestion peaks, and flattens the number of en-route agents throughout the day, compared to fixed-time plans. While simplifications remain in the model, such as generalized signal timings and the exclusion of pedestrian movements, these findings suggest that deploying adaptive traffic management systems could deliver substantial operational benefits in Bucharest’s urban context. This work demonstrates a scalable methodology combining open geospatial data, commercial traffic analytics, and agent-based simulation to rigorously evaluate AI-based traffic management strategies, offering evidence-based guidance for urban mobility planning and policy decisions.","url":"https://doi.org/10.3390/urbansci9090335","authors":["Nistor Andrei","Cezar Scarlat"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-08-28T07:43:16Z","doi":"10.3390/urbansci9090335","addedAt":"2026-08-31T06:39:54.185Z","updatedAt":"2026-08-31T06:39:54.185Z"},{"id":"doi:10.1016/b978-0-443-23816-1.00010-0","name":"Indoor and urban air quality: control and improvements","source":"crossref","abstract":"","url":"https://doi.org/10.1016/b978-0-443-23816-1.00010-0","authors":["Adnan Aydın","Ahmet Alper Aydın"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-11-29T15:55:28Z","doi":"10.1016/b978-0-443-23816-1.00010-0","addedAt":"2026-08-31T06:39:54.185Z","updatedAt":"2026-08-31T06:39:54.185Z"},{"id":"doi:10.1016/j.paerosci.2021.100726","name":"Designing airspace for urban air mobility: A review of concepts and approaches","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.paerosci.2021.100726","authors":["Aleksandar Bauranov","Jasenka Rakas"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2021-06-08T18:37:24Z","doi":"10.1016/j.paerosci.2021.100726","addedAt":"2026-08-31T06:39:56.013Z","updatedAt":"2026-08-31T06:39:56.013Z"},{"id":"doi:10.1016/j.tre.2020.102090","name":"Air taxi service for urban mobility: A critical review of recent developments, future challenges, and opportunities","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.tre.2020.102090","authors":["Suchithra Rajendran","Sharan Srinivas"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2020-10-05T13:29:03Z","doi":"10.1016/j.tre.2020.102090","addedAt":"2026-08-31T06:39:56.013Z","updatedAt":"2026-08-31T06:39:56.013Z"},{"id":"doi:10.2139/ssrn.4606784","name":"Literature Review: How COVID-19 Changed Urban Mobility?","source":"crossref","abstract":"&lt;b&gt;English Abstract:&lt;/b&gt; The COVID-19 pandemic of 2020 has had a profound impact on cities and their development. This paper provides a comprehensive review of the literature on the effects of the pandemic on urban mobility trends, from the perspective of urban and economic geography. The paper discusses the economic, fiscal, social, and political ramifications of the pandemic on urban mobility.&lt;br&gt;&lt;br&gt;&lt;b&gt;French Abstract:&lt;/b&gt; La pandémie de COVID-19 de 2020 a eu un impact significatif sur les villes et leur développement. Cet article passe en revue la littérature sur les effets de la pandémie sur les tendances de la mobilité urbaine, du point de vue de la géographie urbaine et économique. Les conséquences économiques, fiscales, sociales et politiques de la pandémie sur les villes et les régions sont également discutées.","url":"https://doi.org/10.2139/ssrn.4606784","authors":["Sergey Avetisyan"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-10-21T14:06:27Z","doi":"10.2139/ssrn.4606784","addedAt":"2026-08-31T06:39:56.013Z","updatedAt":"2026-08-31T06:39:56.013Z"},{"id":"doi:10.3390/aerospace10010081","name":"Air Traffic Management as a Vital Part of Urban Air Mobility—A Review of DLR’s Research Work from 1995 to 2022","source":"crossref","abstract":"Urban air mobility is a rapidly growing field of research. While drones or unmanned aerial vehicles have been operated mainly in the private and military sector in the past, an increasing range of opportunities is opening up for commercial applications. A new multitude of passenger-carrying drone or air taxi concepts promises to fulfill the dream of flying above congested urban areas. While early research has been focusing on vehicle development, solutions for urban air traffic management are lagging behind. This paper collects and reviews the main findings of past urban-air-mobility-related research projects at the German Aerospace Center (DLR) to serve as a basis for ongoing research from an air traffic management perspective.","url":"https://doi.org/10.3390/aerospace10010081","authors":["Bianca I. Schuchardt","Dagi Geister","Thomas Lüken","Franz Knabe","Isabel C. Metz","Niklas Peinecke","Karolin Schweiger"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-01-16T04:57:19Z","doi":"10.3390/aerospace10010081","addedAt":"2026-08-31T06:39:56.013Z","updatedAt":"2026-08-31T06:39:56.013Z"},{"id":"doi:10.1007/s10552-026-02132-5","name":"Built environment (BE) and cancer: a systematic review of the BE's impact during the treatment journey and patient outcomes.","source":"europepmc","abstract":"","url":"https://doi.org/10.1007/s10552-026-02132-5","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.1007/s10552-026-02132-5","addedAt":"2026-08-31T06:39:56.014Z","updatedAt":"2026-08-31T06:39:57.842Z"},{"id":"doi:10.3389/fmed.2025.1613587","name":"Urban environments' impacts on aging in post-industrial cities: reviewing the pathways to healthy aging.","source":"europepmc","abstract":"","url":"https://doi.org/10.3389/fmed.2025.1613587","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.3389/fmed.2025.1613587","addedAt":"2026-08-31T06:39:56.014Z","updatedAt":"2026-08-31T06:39:57.842Z"},{"id":"doi:10.1186/s12889-026-27006-y","name":"Beyond green: how city greenspace shapes health outcomes in China.","source":"europepmc","abstract":"","url":"https://doi.org/10.1186/s12889-026-27006-y","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.1186/s12889-026-27006-y","addedAt":"2026-08-31T06:39:56.014Z","updatedAt":"2026-08-31T06:39:57.842Z"},{"id":"doi:10.1016/j.rdc.2025.08.009","name":"Physical Activity for Human and Planetary Health: Incorporating Green Exercise in the Management of Rheumatic Disease.","source":"europepmc","abstract":"","url":"https://doi.org/10.1016/j.rdc.2025.08.009","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.1016/j.rdc.2025.08.009","addedAt":"2026-08-31T06:39:56.014Z","updatedAt":"2026-08-31T06:39:57.842Z"},{"id":"doi:10.1371/journal.pone.0336665","name":"Association of long-term exposure to air pollution with sleep among middle-aged and older adults in China: A nationwide study from 2015 to 2018.","source":"europepmc","abstract":"","url":"https://doi.org/10.1371/journal.pone.0336665","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.1371/journal.pone.0336665","addedAt":"2026-08-31T06:39:56.014Z","updatedAt":"2026-08-31T06:39:57.842Z"},{"id":"doi:10.1016/j.eehl.2026.100242","name":"Deciphering the drivers of antibiotic resistance gene transmission in the megacity: Co-occurring contaminants and bacterial community.","source":"europepmc","abstract":"","url":"https://doi.org/10.1016/j.eehl.2026.100242","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.1016/j.eehl.2026.100242","addedAt":"2026-08-31T06:39:56.014Z","updatedAt":"2026-08-31T06:39:57.842Z"},{"id":"doi:10.3390/s26061939","name":"A Governance-Aware Private Cloud Architecture for Scalable Multi-Provider Vehicle-Based Multimodal Sensing.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s26061939","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.3390/s26061939","addedAt":"2026-08-31T06:39:56.014Z","updatedAt":"2026-08-31T06:39:57.842Z"},{"id":"doi:10.3389/fpubh.2026.1771844","name":"Safeguarding future generations: a One Health perspective on children, climate change, and infectious threats.","source":"europepmc","abstract":"","url":"https://doi.org/10.3389/fpubh.2026.1771844","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.3389/fpubh.2026.1771844","addedAt":"2026-08-31T06:39:56.014Z","updatedAt":"2026-08-31T06:39:57.842Z"},{"id":"doi:10.1371/journal.pone.0339040","name":"Urban density and depression during COVID-19 in Seoul: Moderating effects of social participation.","source":"europepmc","abstract":"","url":"https://doi.org/10.1371/journal.pone.0339040","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.1371/journal.pone.0339040","addedAt":"2026-08-31T06:39:56.014Z","updatedAt":"2026-08-31T06:39:57.842Z"},{"id":"doi:10.3389/fpubh.2026.1749341","name":"From prescription to practice: improving patient access and adherence to nature-based clinical interventions.","source":"europepmc","abstract":"","url":"https://doi.org/10.3389/fpubh.2026.1749341","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.3389/fpubh.2026.1749341","addedAt":"2026-08-31T06:39:56.014Z","updatedAt":"2026-08-31T06:39:57.842Z"},{"id":"doi:10.1093/eurheartj/ehaf915","name":"Environmental stressors and cardiovascular health: acting locally for global impact in a changing world.","source":"europepmc","abstract":"","url":"https://doi.org/10.1093/eurheartj/ehaf915","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.1093/eurheartj/ehaf915","addedAt":"2026-08-31T06:39:56.014Z","updatedAt":"2026-08-31T06:39:57.842Z"},{"id":"doi:10.1038/s41467-026-74157-y","name":"Patterns, drivers, and trends of urban cooling demand across global cities.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41467-026-74157-y","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.1038/s41467-026-74157-y","addedAt":"2026-08-31T06:39:56.014Z","updatedAt":"2026-08-31T06:39:57.842Z"},{"id":"doi:10.3390/ma19030476","name":"A Review of Pavement Damping Characteristics for Mitigating Tire-Pavement Noise: Material Composition and Underlying Mechanisms.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/ma19030476","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.3390/ma19030476","addedAt":"2026-08-31T06:39:56.014Z","updatedAt":"2026-08-31T06:39:57.842Z"},{"id":"doi:10.1371/journal.pone.0350264","name":"Forecasting COVID-19 new cases using NBEATS deep learning and mobility data.","source":"europepmc","abstract":"","url":"https://doi.org/10.1371/journal.pone.0350264","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.1371/journal.pone.0350264","addedAt":"2026-08-31T06:39:56.014Z","updatedAt":"2026-08-31T06:39:57.842Z"},{"id":"doi:10.3390/plants14132057","name":"Urban Phytoremediation: A Nature-Based Solution for Environmental Reclamation and Sustainability.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/plants14132057","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.3390/plants14132057","addedAt":"2026-08-31T06:39:56.014Z","updatedAt":"2026-08-31T06:39:57.842Z"},{"id":"doi:10.1371/journal.pone.0339241","name":"Benefit of urban greenness on patients after an ischaemic stroke: mortality or recurrence? A registry-based cohort study.","source":"europepmc","abstract":"","url":"https://doi.org/10.1371/journal.pone.0339241","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.1371/journal.pone.0339241","addedAt":"2026-08-31T06:39:56.014Z","updatedAt":"2026-08-31T06:39:57.842Z"},{"id":"doi:10.1128/msystems.01458-25","name":"Human lifestyle-associated factors modulate the gut resistome.","source":"europepmc","abstract":"","url":"https://doi.org/10.1128/msystems.01458-25","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.1128/msystems.01458-25","addedAt":"2026-08-31T06:39:56.014Z","updatedAt":"2026-08-31T06:39:57.842Z"},{"id":"doi:10.1186/s12877-026-06978-x","name":"Nature-based and technology-assisted exercise for cognitive and mobility outcomes in older adults: a systematic review of randomized trials.","source":"europepmc","abstract":"","url":"https://doi.org/10.1186/s12877-026-06978-x","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.1186/s12877-026-06978-x","addedAt":"2026-08-31T06:39:56.014Z","updatedAt":"2026-08-31T06:39:57.842Z"},{"id":"doi:10.1186/s12940-026-01275-x","name":"Investigation of sociodemographic, temporal, and meteorological heterogeneity in the short-term blood pressure response to air pollutants.","source":"europepmc","abstract":"","url":"https://doi.org/10.1186/s12940-026-01275-x","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.1186/s12940-026-01275-x","addedAt":"2026-08-31T06:39:56.014Z","updatedAt":"2026-08-31T06:39:57.842Z"},{"id":"doi:10.5334/gh.1514","name":"Environmental Stressors and Cardiovascular Health: Acting Locally for Global Impact in a Changing World: A statement of the European Society of Cardiology, the American College of Cardiology, the American Heart Association, the World Heart Federation.","source":"europepmc","abstract":"","url":"https://doi.org/10.5334/gh.1514","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5334/gh.1514","addedAt":"2026-08-31T06:39:56.014Z","updatedAt":"2026-08-31T06:39:57.842Z"},{"id":"doi:10.15480/882.4797","name":"A systematic review of ground-based infrastructure for the innovative urban air mobility","source":"datacite","abstract":"the increasing level of urbanisation and traffic congestion promotes the concept of urban air mobility (UAM), which has become a thriving topic in engineering and neighbouring disciplines. the development of a suitable ground-based infrastructure is necessary to supply these innovative vehicles, which mainly includes networks of take-off and landing sites, facilities for maintenance, energy supply, and navigation and communication capabilities. Further requirements comprise robust business and operating models for emerging service providers and regulatory frameworks, particularly regarding safety, liability and noise emissions. the objective of this study is to provide an overview of the current results and developments in the field of UAM ground-based infrastructure by conducting a systematic literature review (SLr) and to identify the most relevant research gaps in the field. For the systematic literature analysis, our search string contains vertiports and the equivalents, UAM and equivalents, and search phrases for the individual domains. In the final analysis 64 articles were included, finding a strong focus on simulations and vertiport networks, while specific case studies and related aspects like automated MrO and urban planning appear less frequently. therefore, this article provides insights for a more holistic perspective on challenges and necessities of future UAM.","url":"https://doi.org/10.15480/882.4797","authors":["Mavraj, Gazmend","Eltgen, Jil","Fraske, Tim","Swaid, Majed","Berling, Jan","Röntgen, Ole","Fu, Yuzhuo","Schulz, Detlef"],"tags":["air mobility","ground-based infrastructure","systematic literature review","vertiport","air taxi","Handel, Kommunikation, Verkehr","Technik","Ingenieurwissenschaften"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2022","doi":"10.15480/882.4797","addedAt":"2026-08-31T06:39:56.014Z","updatedAt":"2026-08-31T06:39:56.014Z"},{"id":"doi:10.6084/m9.figshare.28792775","name":"Propeller design for urban drones","source":"datacite","abstract":"Rapid development of urban drone technology allowed many aerodynamics, materials science and computational optimization studies. Propeller designs for open spaces are challenged in restricted and turbulent urban environments. Compared to these city drones, advanced propeller designs with optimized shapes and brand new materials demonstrate significant safety, noise reduction and aerodynamic performance improvements during operation. This research studies propeller design for urban drones featuring tapered blades, different twist angles and bio-inspired trailing edges. These enhancements increase thrust production and reduce tip vortex formation reducing aerodynamic inefficiencies and noise. Typical city flight under such conditions results in significant gains in flight efficiency and noise reduction during PIV and wind tunnel experiments. Furthermore, the computational techniques such as multi-objective genetic algorithms and neural network models speeded up the design process and allowed finding the optimal pitch distributions and blade shapes that balance efficiency and noise. Experiments arranged in organized tables compare thrust-to-power ratios and dB levels for various design approaches. The review considers how to bring such advances to market while adhering to quality and regulatory standards as urban air mobility (UAM) and the need for robust propeller systems in turbulent city environments increase.","url":"https://doi.org/10.6084/m9.figshare.28792775","authors":["Shaikh, Mohd Kaamil Mohd Anis","Mewada, Darsh","Rizvi, Zoya"],"tags":["Aerospace structures","Aerodynamics (excl. hypersonic aerodynamics)"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.6084/m9.figshare.28792775","addedAt":"2026-08-31T06:39:56.014Z","updatedAt":"2026-08-31T06:39:56.014Z"},{"id":"doi:10.14279/depositonce-16105","name":"Social Sustainable Urban Air Mobility in Europe","source":"datacite","abstract":"The first step to steer passenger Urban Air Mobility (pUAM) towards the necessity of sustainability is to understand its impact on our urban transportation systems. This research emphasises the social footprint of passenger drones in scheduled operation as an early business model in European Functional Urban Areas. The literature review is guided by the corresponding Sustainable Urban Mobility Indicators (SUMI). The prospective impact which the introduction of pUAM has on the evaluation of European transportation systems regarding their affordability for the public, their inclusivity for mobility-impaired groups, their accessibility to commuters and the level of customer satisfaction is analysed. Furthermore, the impact of pUAM on the perceived quality of public urban space is examined. Results indicate the overall social footprint of passenger drones in European transport systems to be negative. Early market pUAM may lead to an unbalanced distribution of potential benefits, with services tailored to address only a limited number of citizens. Highlighting pathways for a societal benefiting technology, recommendations are provided for urban planning and city development.","url":"https://doi.org/10.14279/depositonce-16105","authors":["Biehle, Tobias"],"tags":["330 Wirtschaft","passenger UAM","urban planning","vertiports","affordability","inclusivity","accessibility","acceptance"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2022","doi":"10.14279/depositonce-16105","addedAt":"2026-08-31T06:39:56.014Z","updatedAt":"2026-08-31T06:39:56.014Z"},{"id":"doi:10.14279/depositonce-24639","name":"Urban air mobility: level of service framework for the performance-based evaluation of vertidrome airside operations","source":"datacite","abstract":"As the urban air mobility (UAM) industry matures, the need for a comprehensive evaluation framework to assess its performance from a transport service perspective becomes increasingly important. This dissertation contributes to the dynamically changing landscape of UAM by focusing on vertidromes, UAM-tailored ground infrastructure for passenger transport services provided by (electric) vertical take-off and landing capable aircraft. A systematic literature review of more than 190 sources has identified fundamental knowledge and key principles for the design and integration of vertidromes into the airspace. However, significant research gaps remain, particularly in the areas of cost estimation, safety assessment, regulatory guidance, weather dependency, noise impact, and security assessment. The key innovation of this dissertation is the development and validation of the Vertidrome Airside Level of Service (VALoS) framework. The VALoS is a UAM service-oriented, performance-based approach to evaluate the airside traffic flow of a given vertidrome design, taking into account the service requirements and operational performance targets of the vertidrome stakeholders. Based on the current state of the art, an exemplary vertidrome layout and airside operational concept were developed and used as a reference to analyze the applicability of the VALoS framework. Through fast-time simulation validation, the VALoS framework - evaluated at 15-minute intervals and tailored to the key stakeholders passenger, air taxi operator, and vertidrome operator - provides valuable insights to support strategic decision making and operational planning under nominal, disturbed and disrupted conditions. In addition, the impact of changing wind conditions on vertidrome operations was investigated. By analyzing historical METAR wind data for two potential vertidrome locations, Munich Airport and Hamburg Airport, the VALoS framework shows the weather impact on UAM operations, enabling informed decision to be made about vertidrome operating hours and restrictions, the impact on vertidrome airside traffic flows, and profitable UAM routes. The VALoS metric is therefore able to indicate both the performance degradation and the suitability of a particular vertidrome location. The results of this dissertation underline the ability of the VALoS framework to effectively contribute to the strategic airside design phase of future UAM vertidromes. With the Vertidrome Airside Level of Service framework, it is possible to quantitatively measure the airside performance of future UAM ground infrastructure and to ensure that vertidrome operations meet stakeholder expectations, address the right business cases, enable demand-driven scalability, and target long-term sustainability from an infrastructure construction perspective. The VALoS framework supports vertidrome planners and operators to ensure the \"use case right\" design and operation of vertidromes. It lays the foundation for a sustainable and efficient vertidrome ecosystem design, contributing to the successful development and implementation of UAM.","url":"https://doi.org/10.14279/depositonce-24639","authors":["Schweiger, Karolin"],"tags":["300 Sozialwissenschaften::380 Handel, Kommunikation, Verkehr::387 Schifffahrt, Luft-, Weltraumverkehr","urban air mobility","vertiport","eVTOL","VCA","level of service"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.14279/depositonce-24639","addedAt":"2026-08-31T06:39:56.014Z","updatedAt":"2026-08-31T06:39:56.014Z"},{"id":"doi:10.25439/rmt.27601617","name":"Risk-based regulation of unmanned aircraft systems","source":"datacite","abstract":"The aviation sector is faced with a novel array of new airspace users including Urban Air Mobility (UAM) concepts, personal air mobility vehicles, reusable space launch vehicles, and Unmanned Aircraft Systems (UAS). Focusing on UAS, there is much effort being directed towards the development of safety regulations for this industry. National Aviation Authorities (NAA) have advocated the adoption of a risk-based approach to the development of regulations, whereby regulations are driven by the outcomes of a systematic process to assess and manage identified safety risks. Central to a risk-based approach is the Safety Risk Management Process (SRMP). A review of relevant aviation safety policy, guidance and regulatory material found that aviation safety literature does not adequately address the uncertainty inherent to any SRMP. For example, when measuring risk, only the likelihood and severity are taken into consideration, with uncertainty generally not being mentioned. Where uncertainty is recognised, it is taken into consideration through the use of conservative worst-case assumptions. This can result in the imposition of overly stringent restrictions or worse, regulations that do not adequately mitigate safety risks. Subsequently, providing a more comprehensive treatment of uncertainty in the aviation SRMP is essential to the uptake of a risk-based approach to rule-making. Further, it follows that if assessments of performance can be uncertain, then these uncertainties also need to be accounted for in other NAA regulatory processes such as the regulatory compliance assessment and compliance finding processes. It was found that the current aviation compliance process does not provide an objective means for accounting for uncertainty. As a consequence, compliance assessments can be subjective and inconsistent, with regulators lacking the tools and processes to be able to make objective compliance findings on the basis of compliance risk. A means to enable NAA to account for uncertainty in regulatory compliance processes is needed. The overall aim of this thesis is to improve regulatory outcomes under the new paradigm of risk-based regulation, through providing a conceptual framework for the rational, transparent and systematic treatment of uncertainty in the risk assessment and regulatory decision-making processes. The thesis proposes the application of Bayesian methods and normative decision theory to the aviation safety regulatory process. System Safety Regulations (SSR), commonly referred to as \"Part 1309\" regulations, for UAS are used as a case study. It is posited that the general theoretical approach proposed in this thesis can improve the objectivity, consistency, and transparency of current aviation regulatory processes. The generalised approaches presented in this thesis enable the adoption of risk-based rulemaking for new aviation sectors and provides the theoretical basis for risk-based compliance; a paradigm shift in how aviation safety regulators approach risk-based regulation.","url":"https://doi.org/10.25439/rmt.27601617","authors":["Washington, Achim"],"tags":["Aerospace engineering not elsewhere classified","Risk engineering"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.25439/rmt.27601617","addedAt":"2026-08-31T06:39:56.014Z","updatedAt":"2026-08-31T06:39:56.014Z"},{"id":"doi:10.25394/pgs.23915529.v1","name":"An Exploration and Demonstration of System Modeling for Profitable Urban Air Mobility Operations Using Simulation and Optimization","source":"datacite","abstract":"The research effort addressed important gaps in the modeling to simulate Urban Air Mobility (UAM) operations and couple optimization analyses for vehicle design, fleet allocations, and operational choices for next generation urban travel. Urban Air Mobility is expected to be a \\$1 trillion dollar industry by 2040, but operators and designers have limited models and tools to estimate fleet performance, cost metrics, emissions performance, and profit for a given concept under future concepts of operations. A review of the literature reveals 14 modeling gaps related to infrastructure, operations, airspace, vehicles, and customers. In addition, the UAM industry requires better understanding of how operational choices may impact vehicle design and fleet allocations in a market with significant economic barriers and infrastructure needs. To address those needs, this effort proposed alternatives to address modeling challenges and develop studies to evaluate UAM vehicle concepts and concepts of operations in ways once not possible using the enhanced modeling tools. The research findings revealed that modeling coupled design/fleet and operational choices can affect daily profitability potential by 2-4\\times\\, for piloted and autonomous operations and affect the fleet size from between 12-50 vehicles across small, medium, and large metropolitan areas. The modeling capability provided by the improvements in UAM operations simulations and accessing vehicle and fleet metrics enables future studies to address UAM in a holistic manner. The increased capability could benefit the UAM community and inform future operations and concepts of operations in preparation for ubiquitous operations.","url":"https://doi.org/10.25394/pgs.23915529.v1","authors":["Sells, Brandon E"],"tags":["Aerospace engineering not elsewhere classified"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2023","doi":"10.25394/pgs.23915529.v1","addedAt":"2026-08-31T06:39:56.014Z","updatedAt":"2026-08-31T06:39:56.014Z"},{"id":"doi:10.25394/pgs.23915529","name":"An Exploration and Demonstration of System Modeling for Profitable Urban Air Mobility Operations Using Simulation and Optimization","source":"datacite","abstract":"The research effort addressed important gaps in the modeling to simulate Urban Air Mobility (UAM) operations and couple optimization analyses for vehicle design, fleet allocations, and operational choices for next generation urban travel. Urban Air Mobility is expected to be a \\$1 trillion dollar industry by 2040, but operators and designers have limited models and tools to estimate fleet performance, cost metrics, emissions performance, and profit for a given concept under future concepts of operations. A review of the literature reveals 14 modeling gaps related to infrastructure, operations, airspace, vehicles, and customers. In addition, the UAM industry requires better understanding of how operational choices may impact vehicle design and fleet allocations in a market with significant economic barriers and infrastructure needs. To address those needs, this effort proposed alternatives to address modeling challenges and develop studies to evaluate UAM vehicle concepts and concepts of operations in ways once not possible using the enhanced modeling tools. The research findings revealed that modeling coupled design/fleet and operational choices can affect daily profitability potential by 2-4\\times\\, for piloted and autonomous operations and affect the fleet size from between 12-50 vehicles across small, medium, and large metropolitan areas. The modeling capability provided by the improvements in UAM operations simulations and accessing vehicle and fleet metrics enables future studies to address UAM in a holistic manner. The increased capability could benefit the UAM community and inform future operations and concepts of operations in preparation for ubiquitous operations.","url":"https://doi.org/10.25394/pgs.23915529","authors":["Sells, Brandon E"],"tags":["Aerospace engineering not elsewhere classified"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2023","doi":"10.25394/pgs.23915529","addedAt":"2026-08-31T06:39:56.014Z","updatedAt":"2026-08-31T06:39:56.014Z"},{"id":"doi:10.25365/thesis.80294","name":"Radverkehrsförderung als Teil der Mobilitätswende in Wien","source":"datacite","abstract":"Die Mobilitätswende ist ein zentrales Ziel vieler internationaler Städte, um den CO₂-Ausstoß zu reduzieren, die Luftqualität zu verbessern und eine nachhaltige städtische Entwicklung zu gewährleisten. Der Radverkehr spielt dabei eine entscheidende Rolle, da er eine umweltfreundliche, platzsparende und gesundheitsfördernde Alternative zum motorisierten Individualverkehr bietet. Wien hat zwar Fortschritte bei der Radverkehrsförderung gemacht, der Radverkehrsanteil im Modal Split ist gestiegen, bleibt jedoch im Vergleich zu Vorreiterstädten wie Amsterdam, Utrecht oder Kopenhagen deutlich geringer. Diese Masterarbeit untersucht auf Basis des Multi-Level Governance-Ansatzes, wie die Radverkehrsförderung in Wien organisiert ist, welche Maßnahmen und Strukturen wirken und wo zentrale Herausforderungen liegen. Methodisch stützt sich die Arbeit auf qualitative, leitfadengestützte Expert:inneninterviews mit Stakeholder:innen unterschiedlicher Governance-Ebenen. Die Analyse wird durch eine Literatursynthese und ein Fallbeispiel zum Radverkehr in Wien in den Kontext gesetzt. Die Befunde zeigen eine Multi-Level Governance, deren operative Entscheidungs- und Umsetzungsprozesse vor allem auf Stadt- und Bezirksebene verankert sind, während EU, Bund und Land rahmensetzend wirken. Die Mobilitätsagentur wird dabei als zentrale Schnittstelle und Schlüsselakteurin der Governance identifiziert. Herausforderungen entstehen durch heterogene Bezirksprioritäten, knappe Ressourcen und nur punktuell institutionalisierte Beteiligung. Aus den Ergebnissen werden handlungsorientierte Empfehlungen abgeleitet, die auf die Stärkung von Verbindlichkeit zwischen Stadt und Bezirken, die Sicherung der Maßnahmenqualität und die institutionalisierte, rückgekoppelte Beteiligung der Zivilgesellschaft zielen. Damit leistet die Arbeit einen Beitrag zum besseren Verständnis der Governance der Radverkehrsförderung in Wien.","url":"https://doi.org/10.25365/thesis.80294","authors":["Kühnberger, Fabian Tobias"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.25365/thesis.80294","addedAt":"2026-08-31T06:39:56.014Z","updatedAt":"2026-08-31T06:39:56.014Z"},{"id":"doi:10.5061/dryad.bk3j9kdnn","name":"Fluttering in a changing world: Effects of urbanization and nectar plants on butterfly movement patterns","source":"datacite","abstract":"We aimed to answer the general question whether urbanization affects butterfly movement patterns and more specific, whether (1) the mobility of the investigated small white (Pieris rapae) and the small heath butterfly (Coenonympha pamphilus) is affected differently and (2) these butterflies show altered tortuosity-patterns along a rural-urban gradient. The study sites were situated along a rural-urban gradient in the Berlin-Brandenburg metropolitan region (Germany). We recorded GPS-movement trajectories of two common butterfly species differing in territoriality, agility and habitat requirements. Movement trajectories were analyzed in terms of mobility (flight speed and time investment in stopping, resting and nectaring) and tortuosity measures and the effect of urbanization on the derived variables was investigated.","url":"https://doi.org/10.5061/dryad.bk3j9kdnn","authors":["Gamrath, Gabriela Nadine","von der Lippe, Moritz","Buchholz, Sascha"],"tags":["Behavior","Coenonympha pamphilus","DGPS-tracking","Pieris rapae","pollinator conservation","FOS: Earth and related environmental sciences","FOS: Earth and related environmental sciences","Urbanization"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5061/dryad.bk3j9kdnn","addedAt":"2026-08-31T06:39:56.014Z","updatedAt":"2026-08-31T06:39:56.014Z"},{"id":"doi:10.5281/zenodo.18246176","name":"Criteria for Vertiport Location in the Context of Urban Air Mobility","source":"datacite","abstract":"Urban Air Mobility is an emerging transport technology that involves the use of electric-propulsion aerial vehicles, capable of vertical take-off and landing, for the transport of passengers and cargo across urban and interurban routes. These aircraft will rely, as physical support for their operations, on a new (ground) infrastructure known as the vertiport. This thematic review formulates and analyzes a variety of criteria related to the development (location, configuration, and operation) of vertiports in the city, which will need to be considered by urban planners in their future planning and deployment in cities/regions once Urban Air Mobility is adopted and implemented. The criteria presented herein include, among others, location, design, regulations, safety, environmental impact, social acceptance, and equity.","url":"https://doi.org/10.5281/zenodo.18246176","authors":["Diaz Olariaga, Oscar"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.18246176","addedAt":"2026-08-31T06:39:56.014Z","updatedAt":"2026-08-31T06:39:56.014Z"},{"id":"doi:10.5281/zenodo.18246175","name":"Criteria for Vertiport Location in the Context of Urban Air Mobility","source":"datacite","abstract":"Urban Air Mobility is an emerging transport technology that involves the use of electric-propulsion aerial vehicles, capable of vertical take-off and landing, for the transport of passengers and cargo across urban and interurban routes. These aircraft will rely, as physical support for their operations, on a new (ground) infrastructure known as the vertiport. This thematic review formulates and analyzes a variety of criteria related to the development (location, configuration, and operation) of vertiports in the city, which will need to be considered by urban planners in their future planning and deployment in cities/regions once Urban Air Mobility is adopted and implemented. The criteria presented herein include, among others, location, design, regulations, safety, environmental impact, social acceptance, and equity.","url":"https://doi.org/10.5281/zenodo.18246175","authors":["Diaz Olariaga, Oscar"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.18246175","addedAt":"2026-08-31T06:39:56.014Z","updatedAt":"2026-08-31T06:39:56.014Z"},{"id":"doi:10.5281/zenodo.18092489","name":"Proposing Local Demand in Public Transport Network in Lahore (City of Pakistan) by considering Residential density and Transit services","source":"datacite","abstract":"ACKNOWLEDGEMENT I am grateful to Allah, The Almighty, for the good health and wellbeing that were necessary to complete this research report I wish to express my sincere thanks to ALİ SERCAN KESTEN, Faculty professor of department of (Civil Engineering), for providing me with all the necessary guidance for this project report. Abstract This report is basically a small study of transportation system in Lahore by considering resident density and transit services keeping in mind. The idea propose about the need of local demand and why it is much important. Despite of other reasons one major reason smog issue has been noticed which requires high attention as Lahore is one of the most pollutant city of Pakistan and world. And this market hub Lahore is badly affecting by too much private vehicle and here, some solutions were proposed for the prosperity of city, if implemented accordingly. Proposing Local Demand in Public Transport Network in Lahore (City of Pakistan) by considering Residential density and Transit services Introduction Public transport is a system of transportation for people, usually in the form of groups, and commonly operating on a schedule and established routes. It is widely regarded as one of the most important aspects of a community’s infrastructure alongside other key components such as road networks, sewage system, utilities, healthcare, etc. In fact, it is one of the distinguishing factors between a well-established community and a dilapidated one. The earliest form of public transport was ferries and ships i.e. water-based transportation. In fact, the concept of ferries is so ancient that it can even be found in Greek mythology. On the other hand, on land, people used private transport such as horse-drawn carriages and those who could not afford to do so, simply walked from one place to another. The first instance of land-based public transport was a bus system in Paris, France in 1962. Over the course of the last few decades, public transit systems have evolved to include transportation by all means i.e. land, water and air. Every day sees the advent of newer, more advanced system of public transportation that make the lives of their communities easier, faster and more convenient. Some notable examples include: SC Maglev Train in Japan: A high speed maglev (Magnetic Levitation) train that can reach speeds as high as 600 km/hr. New York City Subway: A train system in the city of New York which has 47 stations, the highest number of train stations in the world Eurostar: A high speed train that connects the United Kingdom with France. It has its railway track in an underwater tunnel The Tube: London’s underground train system which was the first underground train system in the world Figure 15: Japan's Maglev Train (top left), New York City Subway (top right), EuroStar train (bottom left) and the London Tube (bottom right) However, public transportation is typically more widespread and commonly available in more developed countries. In developing or third-world countries, the scenario is quite different. Public transport, if it exists, is typically available only in large metropolitan cites. More often than not, it is privately owned and not operated by the government. That means it is higher in cost and, therefore, not affordable for most citizens. That is exactly the case with Pakistan, a country located in South Asia, which is a third-world and developing country riddled with economic problems. In Pakistan, government-owned public transportation systems are limited to the largest and most populated cities namely, Lahore, Karachi and the capital Islamabad. Even there, these transportation systems are dilapidated and in severe need of repairs and upgradation. Further, they do not operate by the given schedule; trains and buses being late has become the norm. None of the vehicles beings used are environment-friendly or wheelchair accessible, either. In other, smaller, cities public transport is privately owne","url":"https://doi.org/10.5281/zenodo.18092489","authors":["Fasih, Tayyaba"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.18092489","addedAt":"2026-08-31T06:39:56.014Z","updatedAt":"2026-08-31T06:39:56.014Z"},{"id":"doi:10.5281/zenodo.18092488","name":"Proposing Local Demand in Public Transport Network in Lahore (City of Pakistan) by considering Residential density and Transit services","source":"datacite","abstract":"ACKNOWLEDGEMENT I am grateful to Allah, The Almighty, for the good health and wellbeing that were necessary to complete this research report I wish to express my sincere thanks to ALİ SERCAN KESTEN, Faculty professor of department of (Civil Engineering), for providing me with all the necessary guidance for this project report. Abstract This report is basically a small study of transportation system in Lahore by considering resident density and transit services keeping in mind. The idea propose about the need of local demand and why it is much important. Despite of other reasons one major reason smog issue has been noticed which requires high attention as Lahore is one of the most pollutant city of Pakistan and world. And this market hub Lahore is badly affecting by too much private vehicle and here, some solutions were proposed for the prosperity of city, if implemented accordingly. Proposing Local Demand in Public Transport Network in Lahore (City of Pakistan) by considering Residential density and Transit services Introduction Public transport is a system of transportation for people, usually in the form of groups, and commonly operating on a schedule and established routes. It is widely regarded as one of the most important aspects of a community’s infrastructure alongside other key components such as road networks, sewage system, utilities, healthcare, etc. In fact, it is one of the distinguishing factors between a well-established community and a dilapidated one. The earliest form of public transport was ferries and ships i.e. water-based transportation. In fact, the concept of ferries is so ancient that it can even be found in Greek mythology. On the other hand, on land, people used private transport such as horse-drawn carriages and those who could not afford to do so, simply walked from one place to another. The first instance of land-based public transport was a bus system in Paris, France in 1962. Over the course of the last few decades, public transit systems have evolved to include transportation by all means i.e. land, water and air. Every day sees the advent of newer, more advanced system of public transportation that make the lives of their communities easier, faster and more convenient. Some notable examples include: SC Maglev Train in Japan: A high speed maglev (Magnetic Levitation) train that can reach speeds as high as 600 km/hr. New York City Subway: A train system in the city of New York which has 47 stations, the highest number of train stations in the world Eurostar: A high speed train that connects the United Kingdom with France. It has its railway track in an underwater tunnel The Tube: London’s underground train system which was the first underground train system in the world Figure 15: Japan's Maglev Train (top left), New York City Subway (top right), EuroStar train (bottom left) and the London Tube (bottom right) However, public transportation is typically more widespread and commonly available in more developed countries. In developing or third-world countries, the scenario is quite different. Public transport, if it exists, is typically available only in large metropolitan cites. More often than not, it is privately owned and not operated by the government. That means it is higher in cost and, therefore, not affordable for most citizens. That is exactly the case with Pakistan, a country located in South Asia, which is a third-world and developing country riddled with economic problems. In Pakistan, government-owned public transportation systems are limited to the largest and most populated cities namely, Lahore, Karachi and the capital Islamabad. Even there, these transportation systems are dilapidated and in severe need of repairs and upgradation. Further, they do not operate by the given schedule; trains and buses being late has become the norm. None of the vehicles beings used are environment-friendly or wheelchair accessible, either. In other, smaller, cities public transport is privately owne","url":"https://doi.org/10.5281/zenodo.18092488","authors":["Fasih, Tayyaba"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.18092488","addedAt":"2026-08-31T06:39:56.014Z","updatedAt":"2026-08-31T06:39:56.014Z"},{"id":"doi:10.48550/arxiv.2512.12632","name":"Optimized Conflict Management for Urban Air Mobility Using Swarm UAV Networks","source":"datacite","abstract":"Urban Air Mobility (UAM) poses unprecedented traffic coordination challenges, especially with increasing UAV densities in dense urban corridors. This paper introduces a mathematical model using a control algorithm to optimize an Edge AI-driven decentralized swarm architecture for intelligent conflict resolution, enabling real-time decision-making with low latency. Using lightweight neural networks, the system leverages edge nodes to perform distributed conflict detection and resolution. A simulation platform was developed to evaluate the scheme under various UAV densities. Results indicate that the conflict resolution time is dramatically minimized up to 3.8 times faster, and accuracy is enhanced compared to traditional centralized control models. The proposed architecture is highly promising for scalable, efficient, and safe aerial traffic management in future UAM systems.","url":"https://doi.org/10.48550/arxiv.2512.12632","authors":["Agnihotri, Rishit","Sharma, Sandeep Kumar"],"tags":["Robotics (cs.RO)","FOS: Computer and information sciences","FOS: Computer and information sciences"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.48550/arxiv.2512.12632","addedAt":"2026-08-31T06:39:56.014Z","updatedAt":"2026-08-31T06:39:56.014Z"},{"id":"doi:10.60711/tsas25.20251215.40415613870155433","name":"A Roadmap Towards Sustainable Advanced Air Mobility\r\n","source":"datacite","abstract":"Aviation is a technologically advanced sector and indeed Advanced Air Mobility (AAM) and Urban Air Mobility (UAM) are two areas of advancement that have been developing for some time, along with Unmanned Air Vehicles (UAVs) and drones. Another pressing issue of course is that of decarbonisation in aviation and this is particularly interesting in terms of Sustainable Advanced Air Mobility with respect to most of the concepts such as eVTOL being electrically powered. However, this also opens up many additional environmental issues such as the production of the vehicles, their infrastructure and even the encouragement given to developing this new demand/market. The work presented will present a ‘roadmap for the development of sustainable AAM’. It will address issues of market and stakeholder analysis (both qualitative and quantitative), system design, and adaptive scenario planning. A transdisciplinary approach will taken so that value analysis and knowledge management aspects are integrated into the methodological approach to the roadmap development. Consequently, this will position the three main pillars of sustainability (Economics, Society and Environment) in the context of the required safety-critical aviation approach. Surveys and interviews will be carried out as part of the primary data analysis to substantiate the framework and its viability, along with comprehensive literature review and secondary data analysis.","url":"https://doi.org/10.60711/tsas25.20251215.40415613870155433","authors":["Richard CURRAN"],"tags":["Towards Sustainable Aviation Summit 2025 - 28-30 January 2025 - Session 03 | ENERGY AND PROPULSION - HYDROGEN"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.60711/tsas25.20251215.40415613870155433","addedAt":"2026-08-31T06:39:56.014Z","updatedAt":"2026-08-31T06:39:56.014Z"},{"id":"doi:10.5281/zenodo.17914611","name":"The Metabolic X3: Constraint-First Autonomy, The Physics of Refusal, and the Architecture of Trust","source":"datacite","abstract":"The Metabolic X3: Constraint-First Autonomy, The Physics of Refusal, and the Architecture of Trust 1. Executive Summary: The Ontological Shift in Mobility The trajectory of automotive engineering over the last century has been defined by a singular, linear vector: the optimization of the heat engine. This paradigm, characterized as the \"extractive-combustive\" cycle, treats the vehicle as an isolated thermodynamic fortress—a machine that carries a finite reservoir of high-potential energy (fuel or electrons) through a low-potential environment, generating transient work and permanent entropy.1 The Immortal Tek Metabolic X3 represents a categorical negation of this industrial logic. It is not merely an electric vehicle; it is a mobile metabolic node, a synthetic organism designed to inhabit the thermodynamic and informational currents of its environment rather than merely traversing them. This report provides an exhaustive technical definition of the Mathematical and Logical frameworks underpinning the X3’s operation. Unlike contemporary autonomous systems that operate on \"Reward-Maximization\" logic—a probabilistic gamble where the system seeks to optimize arrival times while statistically avoiding penalties—the Metabolic X3 operates on Constraint-First Physics. In this architecture, derived from the Universal Intent Layer (UIL), unsafe states are not merely \"penalized\"; they are rendered computationally and physically inaccessible. The vehicle literally cannot \"conceive\" of an unsafe action because the phase space of its decision-making logic excludes high-entropy outcomes from the outset.1 The following analysis dissects the Autonomy Safety Envelope, a high-dimensional control manifold governed by the mathematics of Drift Minimization. It details the \"Why the Car Refused\" framework, a novel governance protocol where the vehicle exercises cognitive sovereignty to prioritize long-term asset preservation and biological safety over immediate user commands. Finally, it presents the Dashboard Transparency UI, a visual language designed to render the machine’s \"thought process\" visible, bridging the cognitive gap between the biological occupant and the silicon substrate. This document serves as the foundational technical reference for the X3’s operational logic, integrating the material science of Fungal Melanin and Hygroelectric Harvesting with the causal logic of AION simulations and WORM immutability.1 2. The Theoretical Crisis of the Machine Metaphor 2.1 The Thermodynamics of Extraction To understand the necessity of the Metabolic X3, one must first quantify the structural pathologies of the incumbent technology. The modern automobile, whether internal combustion or lithium-ion electric, is an \"exosomatic organ\" defined by depletion. It relies on global supply chains for finite fuels and critical minerals, creating geopolitical choke points and resource coercion. Operationally, it acts as a \"dumb\" reservoir, blind to its environment. A standard battery degrades linearly with every charge cycle, locking the infrastructure into a cycle of planned obsolescence and replacement economics known as the \"Trillionaire Trajectory\".1 The prevailing industrial model treats energy as a commodity to be burned. The Metabolic Energy Habitat (MEH), the architectural super-set of the X3, posits that the solution is not to build more efficient heat engines, but to abandon the machine metaphor entirely in favor of a biological one. Biological systems do not \"generate\" energy; they metabolize ambient gradients. A leaf does not create photons; it organizes the flow of light into chemical bonds. The X3 applies this logic to mobility. It is a unified, self-healing, AI-governed energy architecture designed to metabolize ubiquitous environmental gradients—light, humidity, vibration, and heat—into a persistent, adaptive, and sovereign energy substrate.1 2.2 The Universal Intent Layer (UIL) The operational logic of the X3 is the physical manifestation of th","url":"https://doi.org/10.5281/zenodo.17914611","authors":["Brewer, Mark Anthony"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.17914611","addedAt":"2026-08-31T06:39:56.014Z","updatedAt":"2026-08-31T06:39:56.014Z"},{"id":"doi:10.5281/zenodo.17914610","name":"The Metabolic X3: Constraint-First Autonomy, The Physics of Refusal, and the Architecture of Trust","source":"datacite","abstract":"The Metabolic X3: Constraint-First Autonomy, The Physics of Refusal, and the Architecture of Trust 1. Executive Summary: The Ontological Shift in Mobility The trajectory of automotive engineering over the last century has been defined by a singular, linear vector: the optimization of the heat engine. This paradigm, characterized as the \"extractive-combustive\" cycle, treats the vehicle as an isolated thermodynamic fortress—a machine that carries a finite reservoir of high-potential energy (fuel or electrons) through a low-potential environment, generating transient work and permanent entropy.1 The Immortal Tek Metabolic X3 represents a categorical negation of this industrial logic. It is not merely an electric vehicle; it is a mobile metabolic node, a synthetic organism designed to inhabit the thermodynamic and informational currents of its environment rather than merely traversing them. This report provides an exhaustive technical definition of the Mathematical and Logical frameworks underpinning the X3’s operation. Unlike contemporary autonomous systems that operate on \"Reward-Maximization\" logic—a probabilistic gamble where the system seeks to optimize arrival times while statistically avoiding penalties—the Metabolic X3 operates on Constraint-First Physics. In this architecture, derived from the Universal Intent Layer (UIL), unsafe states are not merely \"penalized\"; they are rendered computationally and physically inaccessible. The vehicle literally cannot \"conceive\" of an unsafe action because the phase space of its decision-making logic excludes high-entropy outcomes from the outset.1 The following analysis dissects the Autonomy Safety Envelope, a high-dimensional control manifold governed by the mathematics of Drift Minimization. It details the \"Why the Car Refused\" framework, a novel governance protocol where the vehicle exercises cognitive sovereignty to prioritize long-term asset preservation and biological safety over immediate user commands. Finally, it presents the Dashboard Transparency UI, a visual language designed to render the machine’s \"thought process\" visible, bridging the cognitive gap between the biological occupant and the silicon substrate. This document serves as the foundational technical reference for the X3’s operational logic, integrating the material science of Fungal Melanin and Hygroelectric Harvesting with the causal logic of AION simulations and WORM immutability.1 2. The Theoretical Crisis of the Machine Metaphor 2.1 The Thermodynamics of Extraction To understand the necessity of the Metabolic X3, one must first quantify the structural pathologies of the incumbent technology. The modern automobile, whether internal combustion or lithium-ion electric, is an \"exosomatic organ\" defined by depletion. It relies on global supply chains for finite fuels and critical minerals, creating geopolitical choke points and resource coercion. Operationally, it acts as a \"dumb\" reservoir, blind to its environment. A standard battery degrades linearly with every charge cycle, locking the infrastructure into a cycle of planned obsolescence and replacement economics known as the \"Trillionaire Trajectory\".1 The prevailing industrial model treats energy as a commodity to be burned. The Metabolic Energy Habitat (MEH), the architectural super-set of the X3, posits that the solution is not to build more efficient heat engines, but to abandon the machine metaphor entirely in favor of a biological one. Biological systems do not \"generate\" energy; they metabolize ambient gradients. A leaf does not create photons; it organizes the flow of light into chemical bonds. The X3 applies this logic to mobility. It is a unified, self-healing, AI-governed energy architecture designed to metabolize ubiquitous environmental gradients—light, humidity, vibration, and heat—into a persistent, adaptive, and sovereign energy substrate.1 2.2 The Universal Intent Layer (UIL) The operational logic of the X3 is the physical manifestation of th","url":"https://doi.org/10.5281/zenodo.17914610","authors":["Brewer, Mark Anthony"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.17914610","addedAt":"2026-08-31T06:39:56.014Z","updatedAt":"2026-08-31T06:39:56.014Z"},{"id":"doi:10.4232/1.14404","name":"GESIS Panel - Standard Edition","source":"datacite","abstract":"Das GESIS-Panel bietet eine wahrscheinlichkeitsbasierte Mixed-Mode-Access-Panel-Infrastruktur am GESIS Leibniz-Institut für Sozialwissenschaften in Mannheim. Das Projekt bietet der sozialwissenschaftlichen Community die Möglichkeit, Erhebungsdaten aus einer repräsentativen Stichprobe der deutschen Bevölkerung zu erheben. Die eingereichten Studienvorschläge werden auf der Grundlage eines wissenschaftlichen Begutachtungsverfahrens bewertet. Die Rekrutierung der Panelmitglieder erfolgte zunächst im Jahr 2013 in persönlichen Interviews, gefolgt von einer selbst durchgeführten Profilbefragung. Der Modus wurde von den Teilnehmern gewählt. Alle Teilnehmer der Profilbefragung werden als Mitglieder des Panels betrachtet und zu den alle zwei Monate stattfindenden regelmäßigen Wellen eingeladen. Die Startkohorte umfasste Anfang 2014 4900 Panelisten. Um den Panelabrieb zu kompensieren, wurde im Jahr 2016 eine Auffrischungsstichprobe mit Hilfe des German General Social Survey (ALLBUS) gezogen. Die erste Kohorte umfasst deutschsprachige Befragte im Alter zwischen 18 und 70 Jahren (zum Zeitpunkt der Einstellung) mit ständigem Wohnsitz in Deutschland, während die zweite Kohorte Befragte ab 18 Jahren ohne Obergrenze umfasst. Im Jahr 2018 wurde eine dritte Rekrutierungsstichprobe gezogen, die mit der Welle ge integriert wurde. Auch die dritte Kohorte umfasst Befragte ab 18 Jahren ohne Obergrenze.Rückwirkend wurden die Fälle bis einschließlich Welle fc (dritte Welle aus 2018) in den Daten ergänzt. Nähere Informationen finden Sie im Data Manual (ZA5664-65_sd_data-manual) und dem entsprechenden Rekrutierungsbericht (ZA5664-65_mb_recruitment2018). Die Stichproben des German General Social Survey (ALLBUS) basieren auf einer disproportionalen Stichprobe von Befragten aus West- und Ostdeutschland. Ein Designgewicht, das die Integration der beiden Rekrutierungskohorten ermöglicht, ist im Datensatz enthalten. Nähere Einzelheiten entnehmen Sie bitte den Methodenberichten der Einstellungsverfahren und dem GESIS-Panel-Referenzpapier (Bosnjak et al., 2017). Im März 2020 wurde eine Sondererhebung des GESIS-Panels zum Ausbruch des Coronavirus SARS-CoV-2 bzw. COVID-19 in Deutschland durchgeführt. Im Jahr 2021 wurde die vierte Rekrutierungsstichprobe mit Hilfe des German International Social Survey Programme (ISSP) gezogen, die mit der Welle ja integriert wurde. Die vierte Kohorte umfasst ebenfalls Befragte ab 18 Jahren ohne Obergrenze. Nähere Informationen finden Sie im entsprechenden Rekrutierungsbericht (ZA5664-65_r_i12.pdf). GESIS Panel Demographic Dataset Ab Version 43-0-0 ist der demografische Längsschnittdatensatz Teil des Veröffentlichungspaketes. Bei dem Datensatz handelt es sich um einen längsschnittlichen Datensatz (long format), mit harmonisierten Messungen zu demografischen Variablen: Befragten ID; Erhebungszeitpunkt; entsprechende Welle; Erhebungsjahr; Rekrutierungskohorte; Geschlecht des Befragten; Geburtsjahr; höchster Bildungsabschluss; persönliches Nettoeinkommen; Haushaltsnettoeinkommen; Familienstand; AAPOR disposition code; Einladungsmodus; Teilnahmemodus.","url":"https://doi.org/10.4232/1.14404","authors":["GESIS"],"tags":["KAT12 International Institutions, Relations, Conditions","KAT15 Political Attitudes and Behavior","KAT16 Political Parties, Organizations","KAT20 Legal system, Legislation, Law","KAT37 Work and Industry","KAT40 Patterns of Consumption","KAT41 Saving, Investment of Money","KAT51 Community, Living Environment"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.4232/1.14404","addedAt":"2026-08-31T06:39:56.014Z","updatedAt":"2026-08-31T06:39:56.014Z"},{"id":"doi:10.4232/1.14403","name":"GESIS Panel - Extended Edition","source":"datacite","abstract":"Das GESIS-Panel bietet eine wahrscheinlichkeitsbasierte Mixed-Mode-Access-Panel-Infrastruktur am GESIS Leibniz-Institut für Sozialwissenschaften in Mannheim. Das Projekt bietet der sozialwissenschaftlichen Community die Möglichkeit, Erhebungsdaten aus einer repräsentativen Stichprobe der deutschen Bevölkerung zu erheben. Die eingereichten Studienvorschläge werden auf der Grundlage eines wissenschaftlichen Begutachtungsverfahrens bewertet. Die Rekrutierung der Panelmitglieder erfolgte zunächst im Jahr 2013 in persönlichen Interviews, gefolgt von einer selbst durchgeführten Profilbefragung. Der Modus wurde von den Teilnehmern gewählt. Alle Teilnehmer der Profilbefragung werden als Mitglieder des Panels betrachtet und zu den alle zwei Monate stattfindenden regelmäßigen Wellen eingeladen. Die Startkohorte umfasste Anfang 2014 4900 Panelisten. Um den Panelabrieb zu kompensieren, wurde im Jahr 2016 eine Auffrischungsstichprobe mit Hilfe des German General Social Survey (ALLBUS) gezogen. Die erste Kohorte umfasst deutschsprachige Befragte im Alter zwischen 18 und 70 Jahren (zum Zeitpunkt der Einstellung) mit ständigem Wohnsitz in Deutschland, während die zweite Kohorte Befragte ab 18 Jahren ohne Obergrenze umfasst. Im Jahr 2018 wurde eine dritte Rekrutierungsstichprobe gezogen, die mit der Welle ge integriert wurde. Auch die dritte Kohorte umfasst Befragte ab 18 Jahren ohne Obergrenze.Rückwirkend wurden die Fälle bis einschließlich Welle fc (dritte Welle aus 2018) in den Daten ergänzt. Nähere Informationen finden Sie im Data Manual (ZA5664-65_sd_data-manual) und dem entsprechenden Rekrutierungsbericht (ZA5664-65_mb_recruitment2018). Die Stichproben des German General Social Survey (ALLBUS) basieren auf einer disproportionalen Stichprobe von Befragten aus West- und Ostdeutschland. Ein Designgewicht, das die Integration der beiden Rekrutierungskohorten ermöglicht, ist im Datensatz enthalten. Nähere Einzelheiten entnehmen Sie bitte den Methodenberichten der Einstellungsverfahren und dem GESIS-Panel-Referenzpapier (Bosnjak et al., 2017). Im März 2020 wurde eine Sondererhebung des GESIS-Panels zum Ausbruch des Coronavirus SARS-CoV-2 bzw. COVID-19 in Deutschland durchgeführt. Im Jahr 2021 wurde die vierte Rekrutierungsstichprobe mit Hilfe des German International Social Survey Programme (ISSP) gezogen, die mit der Welle ja integriert wurde. Die vierte Kohorte umfasst ebenfalls Befragte ab 18 Jahren ohne Obergrenze. Nähere Informationen finden Sie im entsprechenden Rekrutierungsbericht (ZA5664-65_r_i12.pdf). GESIS Panel Demographic Dataset Ab Version 43-0-0 ist der demografische Längsschnittdatensatz Teil des Veröffentlichungspaketes. Bei dem Datensatz handelt es sich um einen längsschnittlichen Datensatz (long format), mit harmonisierten Messungen zu demografischen Variablen: Befragten ID; Erhebungszeitpunkt; entsprechende Welle; Erhebungsjahr; Rekrutierungskohorte; Geschlecht des Befragten; Geburtsjahr; Geburtsmonat; höchster Bildungsabschluss; persönliches Nettoeinkommen; Haushaltsnettoeinkommen; Familienstand; AAPOR disposition code; Einladungsmodus; Teilnahmemodus.","url":"https://doi.org/10.4232/1.14403","authors":["GESIS"],"tags":["KAT12 International Institutions, Relations, Conditions","KAT15 Political Attitudes and Behavior","KAT16 Political Parties, Organizations","KAT20 Legal system, Legislation, Law","KAT37 Work and Industry","KAT40 Patterns of Consumption","KAT41 Saving, Investment of Money","KAT51 Community, Living Environment"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.4232/1.14403","addedAt":"2026-08-31T06:39:56.014Z","updatedAt":"2026-08-31T06:39:56.014Z"},{"id":"doi:10.20944/preprints202310.0748.v1","name":"Global Citizenship for the Students of Higher Education in the Realization of Sustainable Development Goals","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202310.0748.v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2023","doi":"10.20944/preprints202310.0748.v1","addedAt":"2026-08-31T06:39:56.015Z","updatedAt":"2026-08-31T06:39:57.842Z"},{"id":"doi:10.20944/preprints202307.0976.v1","name":"Impact of COVID-19 Restrictions on Inhalable Particles in the Atmosphere of Western Macedonia","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202307.0976.v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2023","doi":"10.20944/preprints202307.0976.v1","addedAt":"2026-08-31T06:39:56.015Z","updatedAt":"2026-08-31T06:39:57.842Z"},{"id":"doi:10.2139/ssrn.4607472","name":"Covid Lockdown Significantly Impacted Microplastic Bulk Atmospheric Deposition Rates","source":"preprints","abstract":"","url":"https://doi.org/10.2139/ssrn.4607472","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2023","doi":"10.2139/ssrn.4607472","addedAt":"2026-08-31T06:39:56.015Z","updatedAt":"2026-08-31T06:39:57.842Z"},{"id":"doi:10.21203/rs.3.rs-2635697/v1","name":"Assessment of the socioeconomic impact of COVID-19 in Rwanda: Findings from a country-wide community survey","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-2635697/v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2023","doi":"10.21203/rs.3.rs-2635697/v1","addedAt":"2026-08-31T06:39:56.015Z","updatedAt":"2026-08-31T06:39:57.842Z"},{"id":"doi:10.2139/ssrn.4289878","name":"Understanding Bike-Sharing Mobility Patterns in Response to the COVID-19 Pandemic","source":"preprints","abstract":"","url":"https://doi.org/10.2139/ssrn.4289878","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2022","doi":"10.2139/ssrn.4289878","addedAt":"2026-08-31T06:39:56.015Z","updatedAt":"2026-08-31T06:39:57.842Z"},{"id":"doi:10.20944/preprints202203.0358.v1","name":"Environmental Effects of the COVID-19 Pandemic: The Experience of Bogotá, 2020","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202203.0358.v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2022","doi":"10.20944/preprints202203.0358.v1","addedAt":"2026-08-31T06:39:56.015Z","updatedAt":"2026-08-31T06:39:57.842Z"},{"id":"doi:10.2139/ssrn.4116097","name":"Six Hidden Changes in Mobility During Covid-19 and Their Impact on Future Transport Technologies and Research Direction","source":"preprints","abstract":"","url":"https://doi.org/10.2139/ssrn.4116097","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2022","doi":"10.2139/ssrn.4116097","addedAt":"2026-08-31T06:39:56.015Z","updatedAt":"2026-08-31T06:39:57.842Z"},{"id":"doi:10.21203/rs.3.rs-2292296/v1","name":"Research on Resilience Assessment of Urban Epidemic Prevention Complex Network Driven by Improved SEIR Model","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-2292296/v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2022","doi":"10.21203/rs.3.rs-2292296/v1","addedAt":"2026-08-31T06:39:56.015Z","updatedAt":"2026-08-31T06:39:57.842Z"},{"id":"doi:10.21203/rs.3.rs-1241771/v1","name":"Impact of COVID19 Forced Confinement for CO2 Emission, NO2 Concentration, and Traffic Congestion Throughout EU Nations and United Kingdom (UK)","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-1241771/v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2022","doi":"10.21203/rs.3.rs-1241771/v1","addedAt":"2026-08-31T06:39:56.015Z","updatedAt":"2026-08-31T06:39:57.842Z"},{"id":"doi:10.1101/2023.01.06.23284161","name":"Measuring environmental exposures in people’s activity space: The need to account for travel modes and exposure decay","source":"preprints","abstract":"","url":"https://doi.org/10.1101/2023.01.06.23284161","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2023","doi":"10.1101/2023.01.06.23284161","addedAt":"2026-08-31T06:39:56.015Z","updatedAt":"2026-08-31T06:39:57.842Z"},{"id":"doi:10.21203/rs.3.rs-2510789/v1","name":"Unintended consequences of implementing non-pharmaceutical interventions for the COVID-19 response in Africa: experiences from DRC, Nigeria, Senegal, and Uganda","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-2510789/v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2023","doi":"10.21203/rs.3.rs-2510789/v1","addedAt":"2026-08-31T06:39:56.015Z","updatedAt":"2026-08-31T06:39:57.842Z"},{"id":"doi:10.21203/rs.3.rs-1677535/v1","name":"What impact have COVID-19 induced changes in working practice had on greenhouse gas emissions? A rapid review","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-1677535/v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2022","doi":"10.21203/rs.3.rs-1677535/v1","addedAt":"2026-08-31T06:39:56.015Z","updatedAt":"2026-08-31T06:39:57.842Z"},{"id":"doi:10.2139/ssrn.4212360","name":"Measuring Office Attendance During the COVID-19 Pandemic: Using Mobility Data to Quantify Local Trends and Characteristics","source":"preprints","abstract":"","url":"https://doi.org/10.2139/ssrn.4212360","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2022","doi":"10.2139/ssrn.4212360","addedAt":"2026-08-31T06:39:56.015Z","updatedAt":"2026-08-31T06:39:57.842Z"},{"id":"doi:10.1101/2021.07.16.21260464","name":"School Teaching Posture Correlates with COVID-19 Disease Outcomes in Ohio","source":"preprints","abstract":"","url":"https://doi.org/10.1101/2021.07.16.21260464","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2021","doi":"10.1101/2021.07.16.21260464","addedAt":"2026-08-31T06:39:56.015Z","updatedAt":"2026-08-31T06:39:57.842Z"},{"id":"doi:10.2139/ssrn.4555630","name":"Politics of Quiet Resistance: Covid-19, Informal Settlements and Narratives of Differentiation","source":"preprints","abstract":"","url":"https://doi.org/10.2139/ssrn.4555630","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2023","doi":"10.2139/ssrn.4555630","addedAt":"2026-08-31T06:39:56.015Z","updatedAt":"2026-08-31T06:39:57.842Z"},{"id":"doi:10.21203/rs.3.rs-2328657/v1","name":"Understanding Bike-sharing Mobility Patterns in Response to the COVID-19 Pandemic","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-2328657/v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2022","doi":"10.21203/rs.3.rs-2328657/v1","addedAt":"2026-08-31T06:39:56.015Z","updatedAt":"2026-08-31T06:39:57.842Z"},{"id":"doi:10.20944/preprints202309.0829.v1","name":"Using Regional Sero-Epidemiology SARS-CoV-2 Anti-S Antibodies in the Dominican Republic to Inform Targeted Public Health Response","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202309.0829.v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2023","doi":"10.20944/preprints202309.0829.v1","addedAt":"2026-08-31T06:39:56.015Z","updatedAt":"2026-08-31T06:39:57.842Z"},{"id":"doi:10.2139/ssrn.4105143","name":"Covid-19, Lockdown, and Gender: The Impact of Lockdown Measures on Gendered Mobility Patterns in France","source":"preprints","abstract":"","url":"https://doi.org/10.2139/ssrn.4105143","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2022","doi":"10.2139/ssrn.4105143","addedAt":"2026-08-31T06:39:56.015Z","updatedAt":"2026-08-31T06:39:57.842Z"},{"id":"doi:10.2139/ssrn.4433939","name":"The Price of Quietness: How a Pandemic Affects City Dwellers’ Response to Road Traffic Noise","source":"preprints","abstract":"","url":"https://doi.org/10.2139/ssrn.4433939","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2023","doi":"10.2139/ssrn.4433939","addedAt":"2026-08-31T06:39:56.015Z","updatedAt":"2026-08-31T06:39:57.842Z"},{"id":"doi:10.20944/preprints202108.0013.v1","name":"Telework, Hybrid Work and the United Nation’s Sustainable Development Goals: Towards Policy Coherence","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202108.0013.v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2021","doi":"10.20944/preprints202108.0013.v1","addedAt":"2026-08-31T06:39:56.015Z","updatedAt":"2026-08-31T06:39:57.842Z"},{"id":"doi:10.21203/rs.3.rs-2565658/v1","name":"How have the COVID-19 pandemic and subsequent measures impacted the Choice of Public Transportation Modes in Cities of Ethiopia, 2022?","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-2565658/v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2023","doi":"10.21203/rs.3.rs-2565658/v1","addedAt":"2026-08-31T06:39:56.015Z","updatedAt":"2026-08-31T06:39:57.842Z"},{"id":"doi:10.2139/ssrn.4096086","name":"Reconsidering Mobility of Care: Learning From the Experiences of Low-Income Women During the COVID-19 Lockdown in Itagüí, Colombia","source":"preprints","abstract":"","url":"https://doi.org/10.2139/ssrn.4096086","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2022","doi":"10.2139/ssrn.4096086","addedAt":"2026-08-31T06:39:56.015Z","updatedAt":"2026-08-31T06:39:57.842Z"},{"id":"doi:10.21203/rs.3.rs-116325/v1","name":"Nitrogen Oxides Concentration and Emission Change Detection During COVID-19 Restrictions in North India","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-116325/v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2020","doi":"10.21203/rs.3.rs-116325/v1","addedAt":"2026-08-31T06:39:56.015Z","updatedAt":"2026-08-31T06:39:57.842Z"},{"id":"doi:10.2139/ssrn.3851789","name":"Human Mobility Data in the COVID-19 Pandemic: Characteristics, Applications, and Challenges","source":"preprints","abstract":"","url":"https://doi.org/10.2139/ssrn.3851789","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2021","doi":"10.2139/ssrn.3851789","addedAt":"2026-08-31T06:39:56.015Z","updatedAt":"2026-08-31T06:39:57.842Z"},{"id":"doi:10.2139/ssrn.4023138","name":"The Enduring Effects of Covid-19 on Travel Behavior in the United States: A Panel Study on Observed and Expected Changes in Telecommuting, Mode Choice, Online Shopping and Air Travel","source":"preprints","abstract":"","url":"https://doi.org/10.2139/ssrn.4023138","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2022","doi":"10.2139/ssrn.4023138","addedAt":"2026-08-31T06:39:56.015Z","updatedAt":"2026-08-31T06:39:57.842Z"},{"id":"doi:10.1101/2023.07.10.23292213","name":"Structural, Social, and Contextual factors influencing COVID-19 vaccine uptake: A qualitative methods study among Healthcare Workers and Older People in Uganda","source":"preprints","abstract":"","url":"https://doi.org/10.1101/2023.07.10.23292213","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2023","doi":"10.1101/2023.07.10.23292213","addedAt":"2026-08-31T06:39:56.015Z","updatedAt":"2026-08-31T06:39:57.842Z"},{"id":"doi:10.2139/ssrn.3698006","name":"The Curious Case of Transportation Systems in a Post COVID-19 World: A Summary of Impacts, Strategic Interventions, and Possible Policy Implications.","source":"preprints","abstract":"","url":"https://doi.org/10.2139/ssrn.3698006","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2020","doi":"10.2139/ssrn.3698006","addedAt":"2026-08-31T06:39:56.015Z","updatedAt":"2026-08-31T06:39:57.842Z"},{"id":"doi:10.2139/ssrn.3977611","name":"A Survey of COVID-19 in Public Transportation: Transmission Risk, Mitigation and Prevention","source":"preprints","abstract":"","url":"https://doi.org/10.2139/ssrn.3977611","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2021","doi":"10.2139/ssrn.3977611","addedAt":"2026-08-31T06:39:56.015Z","updatedAt":"2026-08-31T06:39:57.842Z"},{"id":"doi:10.1101/2021.06.17.21259100","name":"COVID-19 Transmission Dynamics Underlying Epidemic Waves in Kenya","source":"preprints","abstract":"","url":"https://doi.org/10.1101/2021.06.17.21259100","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2021","doi":"10.1101/2021.06.17.21259100","addedAt":"2026-08-31T06:39:56.015Z","updatedAt":"2026-08-31T06:39:57.842Z"},{"id":"doi:10.1101/2021.02.08.21250113","name":"Negative-Binomial and Quasi-Poisson regressions between COVID-19, mobility and environment in São Paulo, Brazil","source":"preprints","abstract":"","url":"https://doi.org/10.1101/2021.02.08.21250113","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2021","doi":"10.1101/2021.02.08.21250113","addedAt":"2026-08-31T06:39:56.015Z","updatedAt":"2026-08-31T06:39:57.842Z"},{"id":"doi:10.2139/ssrn.3786330","name":"Road Wary: Mobility, Law, and the Problem of Escape","source":"preprints","abstract":"","url":"https://doi.org/10.2139/ssrn.3786330","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2021","doi":"10.2139/ssrn.3786330","addedAt":"2026-08-31T06:39:56.015Z","updatedAt":"2026-08-31T06:39:57.842Z"},{"id":"doi:10.2139/ssrn.4268091","name":"Prevalence of and Factors Associated with Depression, Anxiety and Stress Among Adolescents in Bangladesh During the COVID-19 Pandemic: A Population-Based Study","source":"preprints","abstract":"","url":"https://doi.org/10.2139/ssrn.4268091","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2022","doi":"10.2139/ssrn.4268091","addedAt":"2026-08-31T06:39:56.015Z","updatedAt":"2026-08-31T06:39:57.842Z"},{"id":"doi:10.2139/ssrn.4196523","name":"Changes in Public Bike Usage after the COVID-19 Outbreak: A Survey of Seoul Public Bike Sharing Users","source":"preprints","abstract":"","url":"https://doi.org/10.2139/ssrn.4196523","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2022","doi":"10.2139/ssrn.4196523","addedAt":"2026-08-31T06:39:56.015Z","updatedAt":"2026-08-31T06:39:57.842Z"},{"id":"doi:10.21203/rs.3.rs-1657538/v1","name":"The multifunctionality of green corridors during pandemic lockdowns: a case study of Riobamba city, Ecuador","source":"preprints","abstract":"Abstract Context: The pandemic has demonstrated several weaknesses and inequalities in the way society live and develops within cities, the economic losses, the massive contagions, and above all the lack of control and people's lack of awareness of the situation. Objectives: This study tries to attempt, city lacking in green spaces, towards a city with green and sustainable planning, and the association between urban greenery and physical activity during the Covid-19, as well as proposing urban green corridors as a planning tool for urban green areas. Methods: The research method was applied Bibliographic analysis which focuses on the importance of green areas, health, wellbeing, and multifunctional, and City analysis based on surveys to understand the residents' behavior during the pandemic. Results: Green and recreational spaces in Riobamba was exposed by all those who could not cope with the lockdown, since only 8% of those surveyed stayed at home, while 70% left their homes for green or recreational spaces within the urban area and 23% left the city in search of parks or nature reserves. This shows, how the quality of green areas can positively affect people’s behaviors during the Covid-19. The diagnosis, highlighted the preservation of natural areas, urban reforestation, re-naturalization of spaces or urban voids. Conclusions: The urban green corridor is conceived as a system where several spaces are connected, creating two interactions: the first is how the city can provide the necessary infrastructure during a crisis, and the second is how it energizes and prioritizes the health and supply systems for urban residents, creating safe spaces for each of the city's sectors.","url":"https://doi.org/10.21203/rs.3.rs-1657538/v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2022","doi":"10.21203/rs.3.rs-1657538/v1","addedAt":"2026-08-31T06:39:56.015Z","updatedAt":"2026-08-31T06:39:57.842Z"},{"id":"doi:10.21203/rs.3.rs-2609539/v1","name":"Adult mortality patterns in Yemen before and during armed conflict and the COVID-19 pandemic: Evidence from a web survey of the global diaspora","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-2609539/v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2023","doi":"10.21203/rs.3.rs-2609539/v1","addedAt":"2026-08-31T06:39:56.015Z","updatedAt":"2026-08-31T06:39:57.842Z"},{"id":"doi:10.21203/rs.3.rs-101275/v1","name":"Urban Population Exposure to Air Pollution in Europe Over the Last Decades","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-101275/v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2020","doi":"10.21203/rs.3.rs-101275/v1","addedAt":"2026-08-31T06:39:56.015Z","updatedAt":"2026-08-31T06:39:57.842Z"},{"id":"doi:10.2139/ssrn.4497097","name":"Risk Perception and Well-Being in Public Transport after the Pandemic: An Intervention","source":"preprints","abstract":"","url":"https://doi.org/10.2139/ssrn.4497097","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2023","doi":"10.2139/ssrn.4497097","addedAt":"2026-08-31T06:39:56.015Z","updatedAt":"2026-08-31T06:39:57.842Z"},{"id":"doi:10.1101/2021.02.27.21252583","name":"Predicting the effects of COVID-19 related interventions in urban settings by combining activity-based modelling, agent-based simulation, and mobile phone data","source":"preprints","abstract":"","url":"https://doi.org/10.1101/2021.02.27.21252583","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2021","doi":"10.1101/2021.02.27.21252583","addedAt":"2026-08-31T06:39:56.015Z","updatedAt":"2026-08-31T06:39:57.842Z"},{"id":"doi:10.1101/2021.03.09.21253212","name":"Exploring the short-term role of particulate matter in the COVID-19 outbreak in USA cities","source":"preprints","abstract":"","url":"https://doi.org/10.1101/2021.03.09.21253212","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2021","doi":"10.1101/2021.03.09.21253212","addedAt":"2026-08-31T06:39:56.015Z","updatedAt":"2026-08-31T06:39:57.842Z"},{"id":"doi:10.2139/ssrn.4317620","name":"COVID-19 Surveillance in India: A Bridge Too Far","source":"preprints","abstract":"","url":"https://doi.org/10.2139/ssrn.4317620","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2023","doi":"10.2139/ssrn.4317620","addedAt":"2026-08-31T06:39:56.015Z","updatedAt":"2026-08-31T06:39:57.842Z"},{"id":"doi:10.2139/ssrn.4122505","name":"A Review of the Transport Sector: Notes from the Post-COVID-19 Era","source":"preprints","abstract":"","url":"https://doi.org/10.2139/ssrn.4122505","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2022","doi":"10.2139/ssrn.4122505","addedAt":"2026-08-31T06:39:56.015Z","updatedAt":"2026-08-31T06:39:57.842Z"},{"id":"doi:10.1101/2021.07.04.21259991","name":"Transmission dynamics of COVID-19 in Ghana and the impact of public health interventions","source":"preprints","abstract":"","url":"https://doi.org/10.1101/2021.07.04.21259991","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2021","doi":"10.1101/2021.07.04.21259991","addedAt":"2026-08-31T06:39:56.015Z","updatedAt":"2026-08-31T06:39:57.842Z"},{"id":"doi:10.21203/rs.3.rs-561245/v1","name":"Visiting Peri-Urban Forests and Mountains During the COVID-19 Pandemic: Empirical Analysis of Environmental Factor and Awareness of Visitors via Large-Scale Online Survey","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-561245/v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2021","doi":"10.21203/rs.3.rs-561245/v1","addedAt":"2026-08-31T06:39:56.015Z","updatedAt":"2026-08-31T06:39:57.842Z"},{"id":"doi:10.2139/ssrn.3990618","name":"The Impact of COVID-19 on the Environmental Quality: A Cross-Sectional Analysis","source":"preprints","abstract":"","url":"https://doi.org/10.2139/ssrn.3990618","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2021","doi":"10.2139/ssrn.3990618","addedAt":"2026-08-31T06:39:56.015Z","updatedAt":"2026-08-31T06:39:57.842Z"},{"id":"doi:10.20944/preprints202108.0024.v1","name":"Analyzing the Contribution of Road Traffic to Changes of Air Pollutants Using Random Forest: Insights from COVID-19 lockdown in Wuhan","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202108.0024.v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2021","doi":"10.20944/preprints202108.0024.v1","addedAt":"2026-08-31T06:39:56.015Z","updatedAt":"2026-08-31T06:39:57.842Z"},{"id":"doi:10.2139/ssrn.3654184","name":"Why Do Some Countries Have More COVID-19 Cases Than Others? Evidence from 70 Most Affected Countries Sans China","source":"preprints","abstract":"","url":"https://doi.org/10.2139/ssrn.3654184","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2020","doi":"10.2139/ssrn.3654184","addedAt":"2026-08-31T06:39:56.015Z","updatedAt":"2026-08-31T06:39:57.842Z"},{"id":"doi:10.1101/2020.03.19.20039131","name":"Assessing the potential impact of COVID-19 in Brazil: Mobility, Morbidity and the burden on the Health Care System","source":"preprints","abstract":"","url":"https://doi.org/10.1101/2020.03.19.20039131","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2020","doi":"10.1101/2020.03.19.20039131","addedAt":"2026-08-31T06:39:56.015Z","updatedAt":"2026-08-31T06:39:57.842Z"},{"id":"doi:10.21203/rs.3.rs-84018/v1","name":"COVID-19 outbreak and Urban dynamics: Regional variations in India","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-84018/v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2020","doi":"10.21203/rs.3.rs-84018/v1","addedAt":"2026-08-31T06:39:56.015Z","updatedAt":"2026-08-31T06:39:57.842Z"},{"id":"doi:10.2139/ssrn.4115432","name":"Impact of Covid-19 Restrictions and Fuel Price on Traffic Volume and Offenses in Iran: A Spatiotemporal Analysis","source":"preprints","abstract":"","url":"https://doi.org/10.2139/ssrn.4115432","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2022","doi":"10.2139/ssrn.4115432","addedAt":"2026-08-31T06:39:56.015Z","updatedAt":"2026-08-31T06:39:57.842Z"},{"id":"doi:10.2139/ssrn.4152478","name":"Pandemic Control in China's Gated Communities","source":"preprints","abstract":"","url":"https://doi.org/10.2139/ssrn.4152478","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2022","doi":"10.2139/ssrn.4152478","addedAt":"2026-08-31T06:39:56.015Z","updatedAt":"2026-08-31T06:39:57.842Z"},{"id":"doi:10.1101/2023.01.13.22274536","name":"Occupational determinants of COVID-19 cases and vaccination: an ecological analysis of counties in the United States as of December 2021","source":"preprints","abstract":"Objective We aim to study the relationship between occupation distribution within each county and COVID-19 cumulative incidence and vaccination rate in the United States. Methods We collected county-level data from January 22, 2020 up to December 25, 2021. We fit multivariate linear models to find the relationship of the percentage of people employed by 23 main occupations. Results Counties with more health-related jobs, office support roles, community service, sales, production and material moving occupations had higher COVID-19 cumulative incidence. During the uptick of the “Delta” COVID variant (stratified period July 1-Dec 25), counties with more transportation occupations had significantly more COVID-19 cumulative incidence than before. Significance Understanding the association between occupations and COVID-19 cumulative incidence on an ecological level can provide information for precision public health strategies for prevention and protecting vulnerable workers. Impact Statement We used data from US Census and COVID-19 data to explore the association between occupations and COVID-19 cumulative incidence and vaccination rate on an ecological level, which can provide information for precision public health strategies for prevention of spread of disease and protecting vulnerable workers.","url":"https://doi.org/10.1101/2023.01.13.22274536","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2023","doi":"10.1101/2023.01.13.22274536","addedAt":"2026-08-31T06:39:56.015Z","updatedAt":"2026-08-31T06:39:57.842Z"},{"id":"doi:10.2139/ssrn.4153362","name":"Energy Transition on Public Transportation During Covid-19 in a Large City: A Study in Bogota","source":"preprints","abstract":"","url":"https://doi.org/10.2139/ssrn.4153362","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2022","doi":"10.2139/ssrn.4153362","addedAt":"2026-08-31T06:39:56.015Z","updatedAt":"2026-08-31T06:39:57.842Z"},{"id":"doi:10.22541/au.161893580.04167261/v1","name":"Understanding the environmental factors related to the decrease in Pediatric Emergency Department referrals for acute asthma during the SARS-CoV-2 pandemic","source":"preprints","abstract":"","url":"https://doi.org/10.22541/au.161893580.04167261/v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2021","doi":"10.22541/au.161893580.04167261/v1","addedAt":"2026-08-31T06:39:56.015Z","updatedAt":"2026-08-31T06:39:57.842Z"},{"id":"doi:10.21203/rs.3.rs-504124/v1","name":"A Survey on Big Data Research in Fighting COVID-19: Contributions and Techniques","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-504124/v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2021","doi":"10.21203/rs.3.rs-504124/v1","addedAt":"2026-08-31T06:39:56.015Z","updatedAt":"2026-08-31T06:39:57.842Z"},{"id":"doi:10.21203/rs.3.rs-1725197/v1","name":"Green space accessibility helps buffer declined mental health during the COVID-19 pandemic","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-1725197/v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2022","doi":"10.21203/rs.3.rs-1725197/v1","addedAt":"2026-08-31T06:39:56.015Z","updatedAt":"2026-08-31T06:39:57.843Z"},{"id":"doi:10.2139/ssrn.4291483","name":"Microtransit Adoption in the Wake of the COVID-19 Pandemic: Evidence from a Choice Experiment with Transit and Car Commuters","source":"preprints","abstract":"","url":"https://doi.org/10.2139/ssrn.4291483","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2022","doi":"10.2139/ssrn.4291483","addedAt":"2026-08-31T06:39:56.015Z","updatedAt":"2026-08-31T06:39:57.843Z"},{"id":"doi:10.2139/ssrn.4039455","name":"The Changing Role of Bike-Share in the Public Transportation System in Response to Covid-19 Pandemic","source":"preprints","abstract":"","url":"https://doi.org/10.2139/ssrn.4039455","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2022","doi":"10.2139/ssrn.4039455","addedAt":"2026-08-31T06:39:56.015Z","updatedAt":"2026-08-31T06:39:57.843Z"},{"id":"doi:10.2139/ssrn.3921056","name":"Toward a Better Future: Building Back Better with Intelligent Civil Infrastructure — Smart Sensors and Self-Monitoring Civil Works","source":"preprints","abstract":"","url":"https://doi.org/10.2139/ssrn.3921056","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2021","doi":"10.2139/ssrn.3921056","addedAt":"2026-08-31T06:39:56.015Z","updatedAt":"2026-08-31T06:39:57.843Z"},{"id":"doi:10.21203/rs.3.rs-43739/v1","name":"COVID-19 Lockdown: Lessons learnt using multiple air quality monitoring station data from Kolkata City in India","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-43739/v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2020","doi":"10.21203/rs.3.rs-43739/v1","addedAt":"2026-08-31T06:39:56.015Z","updatedAt":"2026-08-31T06:39:57.843Z"},{"id":"doi:10.2139/ssrn.4348316","name":"A Comparative Study of Sociocultural Differences in Perceptions and Use of Nature Across Chinese Ethnicity","source":"preprints","abstract":"","url":"https://doi.org/10.2139/ssrn.4348316","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2023","doi":"10.2139/ssrn.4348316","addedAt":"2026-08-31T06:39:56.015Z","updatedAt":"2026-08-31T06:39:57.843Z"},{"id":"doi:10.20944/preprints202302.0212.v1","name":"Mechanisms, Techniques and Devises of Airborne Virus Detection: A Review","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202302.0212.v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2023","doi":"10.20944/preprints202302.0212.v1","addedAt":"2026-08-31T06:39:56.015Z","updatedAt":"2026-08-31T06:39:57.843Z"},{"id":"doi:10.2139/ssrn.4190452","name":"How Important is Neighbourhood Labour Structure in the Spread of COVID-19? Within-City Evidence from England","source":"preprints","abstract":"","url":"https://doi.org/10.2139/ssrn.4190452","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2022","doi":"10.2139/ssrn.4190452","addedAt":"2026-08-31T06:39:56.015Z","updatedAt":"2026-08-31T06:39:57.843Z"},{"id":"doi:10.2139/ssrn.3996007","name":"The Association between Greenness Exposure and COVID-19 Incidence in South Korea: An Ecological Study","source":"preprints","abstract":"","url":"https://doi.org/10.2139/ssrn.3996007","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2022","doi":"10.2139/ssrn.3996007","addedAt":"2026-08-31T06:39:56.015Z","updatedAt":"2026-08-31T06:39:57.843Z"},{"id":"doi:10.21203/rs.3.rs-2618422/v1","name":"An analysis of ridesharing trip time pre- and amid-COVID-19 pandemic using advanced text mining technique – the USA vs Indian case study across different age and gender groups","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-2618422/v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2023","doi":"10.21203/rs.3.rs-2618422/v1","addedAt":"2026-08-31T06:39:56.015Z","updatedAt":"2026-08-31T06:39:57.843Z"},{"id":"doi:10.1101/2020.12.15.422890","name":"Ruling the Roost: Avian Species Reclaim Urban Habitat During India’s COVID Lockdown","source":"preprints","abstract":"","url":"https://doi.org/10.1101/2020.12.15.422890","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2020","doi":"10.1101/2020.12.15.422890","addedAt":"2026-08-31T06:39:56.015Z","updatedAt":"2026-08-31T06:39:57.843Z"},{"id":"doi:10.2139/ssrn.4307708","name":"A Comprehensive Literature Review on the Impact of the COVID-19 Pandemic on Considerable Industries in the Sri Lankan Economy and the Marketing Strategies Used to Stay in the Market during the Period","source":"preprints","abstract":"","url":"https://doi.org/10.2139/ssrn.4307708","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2022","doi":"10.2139/ssrn.4307708","addedAt":"2026-08-31T06:39:56.015Z","updatedAt":"2026-08-31T06:39:57.843Z"},{"id":"doi:10.21203/rs.3.rs-2505507/v1","name":"Coping Mechanism and Food Security in Pandemic Times: A Systematic Literature Review","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-2505507/v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2023","doi":"10.21203/rs.3.rs-2505507/v1","addedAt":"2026-08-31T06:39:56.015Z","updatedAt":"2026-08-31T06:39:57.843Z"},{"id":"doi:10.2139/ssrn.3687127","name":"The Beneficial Impacts of Covid-19 Lockdowns on Air Pollution: Evidence from Vietnam","source":"preprints","abstract":"","url":"https://doi.org/10.2139/ssrn.3687127","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2020","doi":"10.2139/ssrn.3687127","addedAt":"2026-08-31T06:39:56.015Z","updatedAt":"2026-08-31T06:39:57.843Z"},{"id":"doi:10.20944/preprints202304.0810.v1","name":"Design Recommendation of Care Center to Overcome the Psychological and Behavioral Impact of Infectious Diseases on Humans","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202304.0810.v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2023","doi":"10.20944/preprints202304.0810.v1","addedAt":"2026-08-31T06:39:56.015Z","updatedAt":"2026-08-31T06:39:57.843Z"},{"id":"doi:10.2139/ssrn.4100345","name":"Assessment of Enforcement of Government's Guidelines on Ceres Buses in Naturalistic Observation","source":"preprints","abstract":"","url":"https://doi.org/10.2139/ssrn.4100345","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2022","doi":"10.2139/ssrn.4100345","addedAt":"2026-08-31T06:39:56.015Z","updatedAt":"2026-08-31T06:39:57.843Z"},{"id":"doi:10.2139/ssrn.4067956","name":"New Ecological Paradigm, Leisure Motivation, and Wellness Satisfaction: A Comparative Analysis of Recreational Use of Urban Parks Pre- and Post-Covid-19 Pandemic","source":"preprints","abstract":"","url":"https://doi.org/10.2139/ssrn.4067956","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2022","doi":"10.2139/ssrn.4067956","addedAt":"2026-08-31T06:39:56.015Z","updatedAt":"2026-08-31T06:39:57.843Z"},{"id":"doi:10.1101/2023.02.10.23285332","name":"Hyaluronan in COVID-19 morbidity, a bedside-to-bench approach to understand mechanisms and long-term consequences of hyaluronan","source":"preprints","abstract":"","url":"https://doi.org/10.1101/2023.02.10.23285332","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2023","doi":"10.1101/2023.02.10.23285332","addedAt":"2026-08-31T06:39:56.015Z","updatedAt":"2026-08-31T06:39:57.843Z"},{"id":"doi:10.2139/ssrn.3979102","name":"The Changing Role of Bike-Share in the Public Transportation System in Response to Covid-19 Pandemic","source":"preprints","abstract":"","url":"https://doi.org/10.2139/ssrn.3979102","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2021","doi":"10.2139/ssrn.3979102","addedAt":"2026-08-31T06:39:56.015Z","updatedAt":"2026-08-31T06:39:57.843Z"},{"id":"doi:10.21203/rs.3.rs-79685/v1","name":"Urban health nexus with COVID-19 preparedness and response in Africa: rapid scoping review of the early evidence.","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-79685/v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2020","doi":"10.21203/rs.3.rs-79685/v1","addedAt":"2026-08-31T06:39:56.015Z","updatedAt":"2026-08-31T06:39:57.843Z"},{"id":"doi:10.26434/chemrxiv.12237182.v1","name":"Impacts of Modifiable Factors on Ambient Air Pollution: A Case Study of COVID-19 Shutdowns","source":"preprints","abstract":"","url":"https://doi.org/10.26434/chemrxiv.12237182.v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2020","doi":"10.26434/chemrxiv.12237182.v1","addedAt":"2026-08-31T06:39:56.015Z","updatedAt":"2026-08-31T06:39:57.843Z"},{"id":"doi:10.1101/2020.12.01.20241877","name":"Impact of social distancing regulations and epidemic risk perception on social contact and SARS-CoV-2 transmission potential in rural South Africa: analysis of repeated cross-sectional surveys","source":"preprints","abstract":"","url":"https://doi.org/10.1101/2020.12.01.20241877","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2020","doi":"10.1101/2020.12.01.20241877","addedAt":"2026-08-31T06:39:56.015Z","updatedAt":"2026-08-31T06:39:57.843Z"},{"id":"doi:10.21203/rs.3.rs-3352378/v1","name":"Adapting cognitive remediation group therapy: A community-based, focus group study","source":"preprints","abstract":"Abstract Cognitive impairment is a significant health issue for people aging with HIV/AIDS. With pharmacological treatment lacking, psychosocial group therapies may best help people aging with HIV who experience cognitive challenges cope with their symptoms. The COVID-19 pandemic revealed how in-person group therapies need adaptation for hybrid or online delivery. Peer-led focus groups discussed adapting cognitive remediation group therapy (CRGT) as a hybrid or online intervention. CRGT combines mindfulness-based stress reduction and brain training activities. Purposive sampling was used to recruit people aging with HIV (40+) who self-identified cognitive concerns and resided in one of two Canadian provinces. Thematic content analysis was employed on transcripts by seven independent coders. Ten, two-hour focus groups were conducted between August and November 2022. Participant (n=45) demographics included age (M=53.22, SD=7.62), gender (45% women, 42% men, 13% trans/non-binary), sexual orientation (42% gay, 40% heterosexual, 18% other), ethnicity (45% White, 33% Black, 13% Indigenous, 9% mixed-race), and employment (33% employed, 67% retired/disability), and all on treatment and retained in care. Overall, participants responded favourably to CRGT’s modalities. Alongside support for its continued implementation in-person, participants requested online synchronous and online asynchronous formats. Preferred intervention facilitators were peers and mental health professionals. We also discuss how to adapt psychosocial HIV therapies for technology-mediated delivery, with consideration for behavioral HIV research.","url":"https://doi.org/10.21203/rs.3.rs-3352378/v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2023","doi":"10.21203/rs.3.rs-3352378/v1","addedAt":"2026-08-31T06:39:56.015Z","updatedAt":"2026-08-31T06:39:57.843Z"},{"id":"doi:10.1101/2023.01.16.23284634","name":"Prediction of Long COVID Based on Severity of Initial COVID-19 Infection: Differences in predictive feature sets between hospitalized versus non-hospitalized index infections","source":"preprints","abstract":"","url":"https://doi.org/10.1101/2023.01.16.23284634","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2023","doi":"10.1101/2023.01.16.23284634","addedAt":"2026-08-31T06:39:56.015Z","updatedAt":"2026-08-31T06:39:57.843Z"},{"id":"doi:10.21203/rs.3.rs-2207191/v1","name":"Lessons from COVID-19 pandemic response by a non-government organisation in Bangladesh: Emergence of a framework to guide emergency response in low- and middle-income countries (LMICs).","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-2207191/v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2022","doi":"10.21203/rs.3.rs-2207191/v1","addedAt":"2026-08-31T06:39:56.015Z","updatedAt":"2026-08-31T06:39:57.843Z"},{"id":"doi:10.2139/ssrn.4597060","name":"Analysis of Key Drivers of Deforestation and Forest Degradation in Southern Sierra Madre Using Gender and Covid-19 Lens","source":"preprints","abstract":"","url":"https://doi.org/10.2139/ssrn.4597060","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2023","doi":"10.2139/ssrn.4597060","addedAt":"2026-08-31T06:39:56.015Z","updatedAt":"2026-08-31T06:39:57.843Z"},{"id":"doi:10.21203/rs.3.rs-59948/v1","name":"Transmission and Control Pressure Analysis of the COVID-19 Epidemic Situation Using Multisource Spatio-temporal Big Data","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-59948/v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2020","doi":"10.21203/rs.3.rs-59948/v1","addedAt":"2026-08-31T06:39:56.015Z","updatedAt":"2026-08-31T06:39:57.843Z"},{"id":"doi:10.21203/rs.3.rs-179394/v1","name":"Determinants on COVID-19 Case Fatality Rates of Cities in China: A Logit-NB Hurdle Model Analysis","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-179394/v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2021","doi":"10.21203/rs.3.rs-179394/v1","addedAt":"2026-08-31T06:39:56.015Z","updatedAt":"2026-08-31T06:39:57.843Z"},{"id":"doi:10.2139/ssrn.3827513","name":"Analysis of Transjakarta Services in the Pandemic Period COVID-19","source":"preprints","abstract":"","url":"https://doi.org/10.2139/ssrn.3827513","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2021","doi":"10.2139/ssrn.3827513","addedAt":"2026-08-31T06:39:56.015Z","updatedAt":"2026-08-31T06:39:57.843Z"},{"id":"doi:10.2139/ssrn.4100363","name":"Assessment of Government's Guidelines on Buses Based on Naturalistic Observation: A Case Study of Bulacao Bus Transportation During New Normal","source":"preprints","abstract":"","url":"https://doi.org/10.2139/ssrn.4100363","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2022","doi":"10.2139/ssrn.4100363","addedAt":"2026-08-31T06:39:56.015Z","updatedAt":"2026-08-31T06:39:57.843Z"},{"id":"doi:10.2139/ssrn.4208147","name":"How Does COVID-19 Affect People's Willingness to Customized Bus Travel","source":"preprints","abstract":"","url":"https://doi.org/10.2139/ssrn.4208147","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2022","doi":"10.2139/ssrn.4208147","addedAt":"2026-08-31T06:39:56.015Z","updatedAt":"2026-08-31T06:39:57.843Z"},{"id":"doi:10.1101/2021.08.04.21261420","name":"Green spaces, especially forest, linked to lower SARS-CoV-2 infection rates: A one-year nationwide study","source":"preprints","abstract":"","url":"https://doi.org/10.1101/2021.08.04.21261420","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2021","doi":"10.1101/2021.08.04.21261420","addedAt":"2026-08-31T06:39:56.015Z","updatedAt":"2026-08-31T06:39:57.843Z"},{"id":"doi:10.20944/preprints202209.0049.v1","name":"Bikeshare Interactions with Other Transportation Modes During the COVID Pandemic","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202209.0049.v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2022","doi":"10.20944/preprints202209.0049.v1","addedAt":"2026-08-31T06:39:56.015Z","updatedAt":"2026-08-31T06:39:57.843Z"},{"id":"doi:10.20944/preprints202105.0319.v1","name":"Impact of Changed Use of Greenspace during COVID-19 Pandemic on Depression and Anxiety","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202105.0319.v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2021","doi":"10.20944/preprints202105.0319.v1","addedAt":"2026-08-31T06:39:56.015Z","updatedAt":"2026-08-31T06:39:57.843Z"},{"id":"doi:10.2139/ssrn.4446230","name":"A Queue-Epidemic Model: Revealing the Transmission Mechanism of Epidemics in Metro Systems from a Meso Level","source":"preprints","abstract":"","url":"https://doi.org/10.2139/ssrn.4446230","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2023","doi":"10.2139/ssrn.4446230","addedAt":"2026-08-31T06:39:56.015Z","updatedAt":"2026-08-31T06:39:57.843Z"},{"id":"doi:10.20944/preprints201910.0078.v1","name":"Small-Scale Rotor Aeroacoustics for Drone Propulsion: A Review of Noise Sources and Control Strategies","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints201910.0078.v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2019","doi":"10.20944/preprints201910.0078.v1","addedAt":"2026-08-31T06:39:56.015Z","updatedAt":"2026-08-31T06:39:57.843Z"},{"id":"doi:10.21203/rs.3.rs-34863/v1","name":"Associating the COVID-19 Severity with Urban Factors: A Case Study of Wuhan","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-34863/v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2020","doi":"10.21203/rs.3.rs-34863/v1","addedAt":"2026-08-31T06:39:56.015Z","updatedAt":"2026-08-31T06:39:57.843Z"},{"id":"doi:10.21203/rs.3.rs-273514/v1","name":"Geospatial Analysis and Mapping Strategies for Fine Grained and Detailed COVID-19 Data With Geographic Information Systems","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-273514/v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2021","doi":"10.21203/rs.3.rs-273514/v1","addedAt":"2026-08-31T06:39:56.015Z","updatedAt":"2026-08-31T06:39:57.843Z"},{"id":"doi:10.1101/2020.09.07.20190066","name":"Understanding SARSCOV-2 propagation, impacting factors to derive possible scenarios and simulations","source":"preprints","abstract":"","url":"https://doi.org/10.1101/2020.09.07.20190066","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2020","doi":"10.1101/2020.09.07.20190066","addedAt":"2026-08-31T06:39:56.015Z","updatedAt":"2026-08-31T06:39:57.843Z"},{"id":"doi:10.2139/ssrn.3785063","name":"Employment Guaranteed? Social Protection During a Pandemic","source":"preprints","abstract":"","url":"https://doi.org/10.2139/ssrn.3785063","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2021","doi":"10.2139/ssrn.3785063","addedAt":"2026-08-31T06:39:56.015Z","updatedAt":"2026-08-31T06:39:57.843Z"},{"id":"doi:10.2139/ssrn.3713518","name":"Social Distancing in Public Transport: Mobilising New Technologies for Demand Management under the COVID-19 Crisis","source":"preprints","abstract":"","url":"https://doi.org/10.2139/ssrn.3713518","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2020","doi":"10.2139/ssrn.3713518","addedAt":"2026-08-31T06:39:56.015Z","updatedAt":"2026-08-31T06:39:57.843Z"},{"id":"doi:10.1201/9781003609780-2","name":"Unmanned Aerial Vehicle Dynamics and Lagrangian Methods","source":"crossref","abstract":"","url":"https://doi.org/10.1201/9781003609780-2","authors":["Ranjan Vepa"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-08-18T10:00:37Z","doi":"10.1201/9781003609780-2","addedAt":"2026-08-31T06:39:56.491Z","updatedAt":"2026-08-31T06:39:59.253Z"},{"id":"doi:10.36227/techrxiv.12053733.v1","name":"An Unmanned Aerial Vehicle for Parking Slot Availability","source":"crossref","abstract":"This is a research project which uses computer vision techniques to find out the empty parking spaces in any given Parking lot. It uses existing functions from OpenCV library in Python programming language to extract the parking lines from an image.","url":"https://doi.org/10.36227/techrxiv.12053733.v1","authors":["Anil Mallidi","Sabah Mohammed"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2020-04-01T12:00:51Z","doi":"10.36227/techrxiv.12053733.v1","addedAt":"2026-08-31T06:39:56.491Z","updatedAt":"2026-08-31T06:39:59.254Z"},{"id":"doi:10.2139/ssrn.3593220","name":"A Brief Review on Unmanned Combat Aerial Vehicle (U.C.A.V)","source":"crossref","abstract":"An unmanned combat aerial vehicle (U.C.A.V), is an unmanned aerial vehicle (U.A.V) that usually carries aircraft ordinances such as missiles, ATGMs, and/or bombs and is used for drone strikes and other military operations. These UCAVs are always under real-time human control, with varying levels of autonomy. Aircraft of this type have no onboard human pilot keeping the safety point of view. As the operator runs the aircraft from a remote terminal, equipment essential for a human pilot is not needed, resulting in a lower weight and a smaller size compared to a manned aircraft. India, Israel, Turkey, and the United States are widely recognized as industry leaders in U.C.A.V technology. Several other countries have operational domestic U.C.A.Vs and many more have imported armed drones or have development programs underway. In this paper, a comprehensive review of the Unmanned Combat Aerial Vehicle, its components, capabilities, missiles it carries along with its use, and future scope has been done.","url":"https://doi.org/10.2139/ssrn.3593220","authors":["Shashank Kumar"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2020-06-03T07:34:06Z","doi":"10.2139/ssrn.3593220","addedAt":"2026-08-31T06:39:56.491Z","updatedAt":"2026-08-31T06:39:59.254Z"},{"id":"doi:10.1002/gj.4763/v2/review1","name":"Review for \"Unmanned aerial vehicle navigation in underground structure inspection: A review\"","source":"crossref","abstract":"","url":"https://doi.org/10.1002/gj.4763/v2/review1","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-05-23T17:01:20Z","doi":"10.1002/gj.4763/v2/review1","addedAt":"2026-08-31T06:39:56.491Z","updatedAt":"2026-08-31T06:39:59.254Z"},{"id":"doi:10.1002/gj.4763/v1/review3","name":"Review for \"Unmanned aerial vehicle navigation in underground structure inspection: A review\"","source":"crossref","abstract":"","url":"https://doi.org/10.1002/gj.4763/v1/review3","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-05-23T17:01:20Z","doi":"10.1002/gj.4763/v1/review3","addedAt":"2026-08-31T06:39:56.491Z","updatedAt":"2026-08-31T06:39:59.254Z"},{"id":"doi:10.1002/gj.4763/v2/review2","name":"Review for \"Unmanned aerial vehicle navigation in underground structure inspection: A review\"","source":"crossref","abstract":"","url":"https://doi.org/10.1002/gj.4763/v2/review2","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-05-23T17:01:20Z","doi":"10.1002/gj.4763/v2/review2","addedAt":"2026-08-31T06:39:56.491Z","updatedAt":"2026-08-31T06:39:59.254Z"},{"id":"doi:10.32920/ryerson.14637360.v1","name":"Estimation and control of a manipulating unmanned aerial vehicle","source":"crossref","abstract":"A Manipulating Unmanned Aerial Vehicle (MUAV) is an aerial platform equipped with a mechanism to physically interact with its environment. The interaction is realized by means of robotic arm(s), vehicle body or suspension cable(s) and enables a wide range of novel applications including perching, grasping, pick–and–place, load transportation, etc. However, this is a challenging task as MUAVs are inherently unstable platforms with highly nonlinear and coupled dynamics, often associated with moving parts that result in complex modelling, estimation and control problems. This thesis deals with the problem of estimation and control of MUAVs. First, a comprehensive literature survey covering various aspects of MUAVs such as those related to modelling, estimation and control is presented. In the first approach for MUAV state estimation and control, effects of robotic manipulator on Unmanned Aerial Vehicle (UAV) dynamic equations of motion is treated by adding process noise with unknown noise statistics to conventional UAV dynamic model. With that in mind, state estimating and control of a UAV by means of conventional Kalman filters and their adaptive counterparts are formulated. Having designed Linear Quadratic Regulator (LQR) laws, it is shown that adaptive Kalman filters provide accurate satisfactory estimation and overall control of a UAV, even with simultaneous uncertain process and measurement noise statistics. Next, in order to improve the estimation and overall control performance of the previous approach, full nonlinear and coupled dynamic modelling of a MUAV based on Euler–Lagrange formulation is presented. Then, a General Unscented Kalman Filter (GUKF) is proposed to accomplish full state estimation of a MUAV, along with LQR control laws. Finally, in order to improve the execution time of GUKF, a computationally–efficient UKF known as Scaled Spherical UKF (SSUKF) with estimation and overall control performance comparable to GUKF is formulated. It is shown that both UKF–based algorithms result in satisfactory estimation and setpoint/trajectory tracking of quadcopter UAV and its robotic manipulator, even in scenarios with increased noise level and a period of total outage of sensory data.","url":"https://doi.org/10.32920/ryerson.14637360.v1","authors":["Hossein Bonyan Khamseh"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2021-05-21T13:05:46Z","doi":"10.32920/ryerson.14637360.v1","addedAt":"2026-08-31T06:39:56.491Z","updatedAt":"2026-08-31T06:39:59.254Z"},{"id":"doi:10.1002/gj.4763/v4/review1","name":"Review for \"Unmanned aerial vehicle navigation in underground structure inspection: A review\"","source":"crossref","abstract":"","url":"https://doi.org/10.1002/gj.4763/v4/review1","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-05-23T17:01:20Z","doi":"10.1002/gj.4763/v4/review1","addedAt":"2026-08-31T06:39:56.491Z","updatedAt":"2026-08-31T06:39:59.254Z"},{"id":"doi:10.1002/gj.4763/v1/review1","name":"Review for \"Unmanned aerial vehicle navigation in underground structure inspection: A review\"","source":"crossref","abstract":"","url":"https://doi.org/10.1002/gj.4763/v1/review1","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-05-23T17:01:20Z","doi":"10.1002/gj.4763/v1/review1","addedAt":"2026-08-31T06:39:56.491Z","updatedAt":"2026-08-31T06:39:59.254Z"},{"id":"doi:10.1002/gj.4763/v3/review1","name":"Review for \"Unmanned aerial vehicle navigation in underground structure inspection: A review\"","source":"crossref","abstract":"","url":"https://doi.org/10.1002/gj.4763/v3/review1","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-05-23T17:01:20Z","doi":"10.1002/gj.4763/v3/review1","addedAt":"2026-08-31T06:39:56.491Z","updatedAt":"2026-08-31T06:39:59.254Z"},{"id":"doi:10.2139/ssrn.4430575","name":"Unmanned Aerial Vehicle (UAV) 'Drones' using Machine Learning","source":"crossref","abstract":"Unmanned aerial vehicle decision-making issues are increasingly being addressed using reinforcement learning (RL) (UAVs). The current advances in RL-based algorithms for UAV applications, encompassing both single-agent and swarm scenarios, are thoroughly reviewed in this work. First, the basic concepts of RL and its variants are introduced, followed by an overview of the state-of-the art RL algorithms that have been applied to UAV navigation, path planning, and obstacle avoidance. The study then examines real-time learning concerns, model selection, and exploration exploitation trade-offs, as well as challenges and potential for employing RL in UAV systems. In order to further the use of RL in UAVs, future research initiatives are also suggested. They include creating hybrid methods that integrate RL with other methodologies and incorporating human feedback and domain expertise into the learning process. Overall, this work demonstrates the potential of this approach to improve the autonomy, adaptability, and resilience of UAV systems and serves as a significant resource for researchers and those interested in applying RL to UAVs.","url":"https://doi.org/10.2139/ssrn.4430575","authors":["Ummey Habiba","Roshan Jahan"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-05-10T19:51:40Z","doi":"10.2139/ssrn.4430575","addedAt":"2026-08-31T06:39:56.492Z","updatedAt":"2026-08-31T06:39:59.254Z"},{"id":"doi:10.1201/9781315367378-3","name":"Unmanned aerial vehicle dynamics and Lagrangian methods","source":"crossref","abstract":"","url":"https://doi.org/10.1201/9781315367378-3","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2016-10-13T11:57:09Z","doi":"10.1201/9781315367378-3","addedAt":"2026-08-31T06:39:56.492Z","updatedAt":"2026-08-31T06:39:59.254Z"},{"id":"doi:10.1007/978-3-031-23161-2_301201","name":"Unmanned Aerial Vehicle","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-031-23161-2_301201","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-01-10T17:03:06Z","doi":"10.1007/978-3-031-23161-2_301201","addedAt":"2026-08-31T06:39:56.492Z","updatedAt":"2026-08-31T06:39:59.254Z"},{"id":"doi:10.20944/preprints202407.1465.v1","name":"Energy-Optimized 3D Path Planning for Unmanned Aerial Vehicle","source":"crossref","abstract":"Drone technology is undoubtedly part of our everyday life these days. The business and industrial use of unmanned aerial vehicles (UAV) can provide favorable solutions in many areas of life, and they are also great for emergency situations and for reaching hard-to-reach places. However, there are many technological and regulatory challenges to overcome in their application. One of the weak links in the operation of UAVs is the limited availability of energy. In order to address this issue authors develop a novel trajectory planning method for UAVs to optimize the energy necessity during flight. For this, an &amp;ldquo;energy map&amp;rdquo;, which serves as the basis for trajectory planning, must first be prepared, i.e., the energy consumption of the individual components must be determined. This is followed by configuring the 3D environment including partitioning of the work space (WS), i.e. the definition of free spaces, occupied spaces (obstacles) and semi-occupied/free spaces. On the basis of the partitioned space, the corresponding graph-like path(s) has to be generated, where a graph search-based heuristic trajectory planning can be started, taking into account the most important wind conditions, e.g. velocity and direction. Finally, in order to test the theoretical results, some sample environment will be created, where the proposed path generations will be tested and analyzed. The suggested method is able to find the optimal path in terms of energy consumption.","url":"https://doi.org/10.20944/preprints202407.1465.v1","authors":["István Nagy","Edit Laufer"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-07-19T02:26:01Z","doi":"10.20944/preprints202407.1465.v1","addedAt":"2026-08-31T06:39:56.492Z","updatedAt":"2026-08-31T06:39:59.254Z"},{"id":"doi:10.12794/metadc1833487","name":"Formation Control and Path Planning Strategies for Unmanned Aerial Vehicle Swarms","source":"crossref","abstract":"This dissertation focuses on the path planning of unmanned aerial vehicle (UAV) swarms under distributed and hybrid control scenarios. It presents two such models and analyzes them both from theory and practice. In the first method, a distributed formation control strategy for UAV swarm based on consensus law is presented. This model makes use of the fundamental concepts of leader-follower structure, social potential functions, and algebraic graph theory to jointly address flocking and de-confliction in the formation control problem. The impact of network topology on formation control is analyzed. It is shown that the degree distribution of the network representing the multi-agent system defines the rate at which formation is attained. Conditions for convergence and stability are derived. In the second method, a hybrid framework for path planning and coverage area by UAV swarms is presented. This strategy significantly improves the current labor-intensive and resource-constraint operations in aquaculture farms. To monitor the farms periodically, an optimized back-and-forth flight path based on the Shamos algorithm is utilized. A trajectory tracking strategy for UAV swarms under uncertain wind conditions is presented.","url":"https://doi.org/10.12794/metadc1833487","authors":["Srijita Mukherjee"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-01-26T10:16:59Z","doi":"10.12794/metadc1833487","addedAt":"2026-08-31T06:39:56.492Z","updatedAt":"2026-08-31T06:39:59.254Z"},{"id":"doi:10.2139/ssrn.5002520","name":"Design and Implementation of Payload Carrier Autonomous Unmanned Aerial Vehicle System","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.5002520","authors":["Kazım Duraklar"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-10-29T04:41:47Z","doi":"10.2139/ssrn.5002520","addedAt":"2026-08-31T06:39:56.492Z","updatedAt":"2026-08-31T06:39:59.254Z"},{"id":"doi:10.2139/ssrn.4113879","name":"Armed Unmanned Aerial Vehicle Selection","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.4113879","authors":["NUH KELEŞ"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2022-05-28T12:20:20Z","doi":"10.2139/ssrn.4113879","addedAt":"2026-08-31T06:39:56.492Z","updatedAt":"2026-08-31T06:39:59.254Z"},{"id":"doi:10.1127/nos/2024/0815","name":"Unveiling chromaticity and Milankovitch cycles in sedimentary rocks via unmanned aerial vehicle photogrammetry","source":"crossref","abstract":"","url":"https://doi.org/10.1127/nos/2024/0815","authors":["Jie Wan","Zhen Wei"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-03-18T07:33:42Z","doi":"10.1127/nos/2024/0815","addedAt":"2026-08-31T06:39:56.492Z","updatedAt":"2026-08-31T06:39:59.254Z"},{"id":"doi:10.2139/ssrn.5178177","name":"AERODYNAMIC OPTIMISATION AND STABILITY ANALYSIS OF SOLAR-POWERED UNMANNED AERIAL VEHICLE","source":"crossref","abstract":"Solar-powered unmanned aerial vehicles (UAVs) with long endurance can be utilised for area surveillance as the regenerative nature of solar energy makes such UAVs a terrestrial satellite with 24/7 endurance. This paper presents an aerodynamic optimisation scheme for UAVs through the selection of airfoils and wing planform during the preliminary design phase. Sizing of the tail and control surface based on historical trends for similar aircraft is also substantiated. Finally, detailed aerodynamic and stability analyses of the optimised configuration validate adequate flying and handling qualities of UAVs. The optimisation effort increased the endurance factor by 19.75 percent. This increase will conserve the energy required to overcome in-flight drag and surplus power that can be utilised by onboard equipment.","url":"https://doi.org/10.2139/ssrn.5178177","authors":["Aun Haider"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-04-08T14:13:35Z","doi":"10.2139/ssrn.5178177","addedAt":"2026-08-31T06:39:56.492Z","updatedAt":"2026-08-31T06:39:59.253Z"},{"id":"doi:10.5373/jardcs/v12sp3/20201352","name":"Design of H-infinity Controller for VTOL Tiltrotor Unmanned Aerial Vehicle","source":"crossref","abstract":"","url":"https://doi.org/10.5373/jardcs/v12sp3/20201352","authors":["Navya Thirumaleshwar Hegde"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2020-03-30T08:38:18Z","doi":"10.5373/jardcs/v12sp3/20201352","addedAt":"2026-08-31T06:39:56.492Z","updatedAt":"2026-08-31T06:39:59.254Z"},{"id":"doi:10.3724/sp.j.1087.2011.01443","name":"Analysis system of unmanned aerial vehicle survivability based on MapX","source":"crossref","abstract":"","url":"https://doi.org/10.3724/sp.j.1087.2011.01443","authors":["Lu CAO","An ZHANG","Feng-juan GUO"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2011-09-09T12:26:24Z","doi":"10.3724/sp.j.1087.2011.01443","addedAt":"2026-08-31T06:39:56.492Z","updatedAt":"2026-08-31T06:39:59.254Z"},{"id":"doi:10.21236/ada379424","name":"Unmanned Aerial Vehicle Operator Qualifications","source":"crossref","abstract":"","url":"https://doi.org/10.21236/ada379424","authors":["Joseph L. Weeks"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2017-08-25T16:10:00Z","doi":"10.21236/ada379424","addedAt":"2026-08-31T06:39:56.492Z","updatedAt":"2026-08-31T06:39:59.254Z"},{"id":"doi:10.21236/ada393597","name":"Why the U.S. Army Needs Corps Level Unmanned Aerial Vehicle Companies","source":"crossref","abstract":"","url":"https://doi.org/10.21236/ada393597","authors":["Michael A. Fant"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2017-08-25T11:31:24Z","doi":"10.21236/ada393597","addedAt":"2026-08-31T06:39:56.492Z","updatedAt":"2026-08-31T06:39:59.254Z"},{"id":"doi:10.15368/theses.2009.54","name":"Design and Control Considerations for a Skid-to-Turn Unmanned Aerial Vehicle","source":"crossref","abstract":"","url":"https://doi.org/10.15368/theses.2009.54","authors":["Tanner Austin Sims"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2016-03-01T21:04:52Z","doi":"10.15368/theses.2009.54","addedAt":"2026-08-31T06:39:56.492Z","updatedAt":"2026-08-31T06:39:59.254Z"},{"id":"doi:10.70675/d1afc4a4z42afz47aczbfa9ze52b3550836f","name":"Fault-tolerant control of an octorotor unmanned aerial vehicle under actuators failures","source":"crossref","abstract":"Commande tolérante aux fautes lors de pannes de moteurs d’un drone La sûreté de fonctionnement est devenue indispensable pour tous les systèmes critiques où des vies humaines sont en jeu (comme l’aéronautique, le ferroviaire, etc.). Ceci a conduit à la conception et au développement des architectures tolérantes aux fautes, l’objectif de ces architectures étant de maintenir un service correct délivré par le système malgré la présence de fautes, et en particulier de garantir la sécurité-innocuité et la fiabilité du système. La tolérance aux fautes sur les drones aériens multirotors a récemment reçu une attention importante de la part de la communauté scientifique. En particulier, plusieurs travaux ont été développés sur la tolérance aux fautes des quadrirotors suite à des fautes partielles sur les actionneurs, et récemment des recherches ont abordé le problème de panne totale de l’un des actionneurs. D’après ces études, il a été montré qu’une défaillance totale d’un actionneur dans un quadrirotor rend le système non complètement contrôlable. Une solution proposée est de considérer des multirotors avec des actionneurs redondants (hexarotors ou octorotors). La redondance inhérente disponible dans ces véhicules est exploitée, en cas de défaillance sur les actionneurs, pour redistribuer les efforts de commande sur les moteurs sains de façon à garantir la stabilité et la contrôlabilité complète du système. Dans ce travail de thèse, des approches pour la conception de systèmes de commande tolérants aux fautes des drones multirotors sont étudiées et appliquées au contrôle des octorotors. Toutefois, les algorithmes sont conçus de manière à être applicables sur les autres types de multirotors avec des modifications mineures. D’abord, une analyse de contrôlabilité de l’octorotor après l’occurrence de défaillances sur les actionneurs est présentée. Ensuite, un module de détection et d’isolation de pannes moteurs basé sur un observateur non-linéaire et les mesures de la centrale inertielle est proposé. Les mesures des vitesses et des courants de moteurs fournis par les contrôleurs de vitesse sont également utilisées dans un autre algorithme de détection pour détecter les défaillances des actionneurs et distinguer les pannes moteurs des pertes des hélices. Un module de rétablissement basé sur la reconfiguration du multiplexage est proposé pour redistribuer les efforts de commande d’une manière optimale sur les actionneurs sains après l’occurrence de défaillances dans le système. Une architecture complète, comprenant la détection et l’isolation des défauts suivie par le rétablissement du système est validée expérimentalement sur un octorotor coaxial puis elle est comparée à d’autres architectures basées sur l’allocation de commande et la tolérance aux fautes passive par mode glissant.","url":"https://doi.org/10.70675/d1afc4a4z42afz47aczbfa9ze52b3550836f","authors":["Majd Saied"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-04-02T09:40:20Z","doi":"10.70675/d1afc4a4z42afz47aczbfa9ze52b3550836f","addedAt":"2026-08-31T06:39:56.492Z","updatedAt":"2026-08-31T06:39:59.254Z"},{"id":"doi:10.18174/473409","name":"Advancing forest structure product validation with ground, space and unmanned aerial vehicle sensors","source":"crossref","abstract":"","url":"https://doi.org/10.18174/473409","authors":["Benjamin Brede"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2019-06-18T22:30:07Z","doi":"10.18174/473409","addedAt":"2026-08-31T06:39:56.492Z","updatedAt":"2026-08-31T06:39:59.254Z"},{"id":"doi:10.1109/apuavd47061.2019.8943882","name":"Unmanned Aerial Vehicle Positioning by Data from Pocket Device Sensors","source":"crossref","abstract":"","url":"https://doi.org/10.1109/apuavd47061.2019.8943882","authors":["Eizhena Protsenko","Mykyta Rudenko","Ivan Ostroumov"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2020-01-03T01:11:58Z","doi":"10.1109/apuavd47061.2019.8943882","addedAt":"2026-08-31T06:39:56.492Z","updatedAt":"2026-08-31T06:39:59.254Z"},{"id":"doi:10.36227/techrxiv.24717876","name":"An Intelligent System for Unmanned Aerial Vehicle Swarm Cooperative Missions","source":"crossref","abstract":"&lt;p&gt;Unmanned Aerial Vehicles play a crucial role in various operations especially where human life must be protected. This work presents an adaptable intelligent system suitable to enhance the efficiency and effectiveness of drone swarm operations in a 3D dynamic environment. The system incorporates several modules, including an Ant Colony Optimization (ACO)-based path planning algorithm, collision avoidance mechanism, messaging system, and a hybrid navigation approach, which evaluates the application requirements to decide to prioritize the desired formation of the swarm or the path length and flight time. The proposed system is adaptable and can optimize to several optimization parameters, including solution quality, time consumption, mission completeness, and average divergence. The experiments show that the system consistently provides high-quality paths, achieving around 97% path quality in most cases, and never declines below 90%, even in challenging scenarios. The collision avoidance module ensures 100% mission completeness successfully navigating drones around obstacles and maintaining an optimal path. Moreover, the hybrid navigation approach demonstrates the ability to maintain desired formations while dynamically adapting to obstacles. The system’s performance shows its potential for real-world applications, ensuring efficient and autonomous operations in different missions.&lt;/p&gt;","url":"https://doi.org/10.36227/techrxiv.24717876","authors":["Areej Alabbadi","Belal Sababha"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-12-07T04:03:39Z","doi":"10.36227/techrxiv.24717876","addedAt":"2026-08-31T06:39:56.492Z","updatedAt":"2026-08-31T06:39:59.254Z"},{"id":"doi:10.32657/10356/73219","name":"Mathematical modelling of human injury levels due to unmanned aerial vehicle (UAV) impact","source":"crossref","abstract":"","url":"https://doi.org/10.32657/10356/73219","authors":["Xin Li"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2020-10-27T05:47:51Z","doi":"10.32657/10356/73219","addedAt":"2026-08-31T06:39:56.492Z","updatedAt":"2026-08-31T06:39:59.254Z"},{"id":"doi:10.1007/978-3-319-16417-5_2","name":"Equations of Motion for an Unmanned Aerial Vehicle","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-319-16417-5_2","authors":["Chingiz Hajiyev","Halil Ersin Soken","Sıtkı Yenal Vural"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2015-06-11T04:41:49Z","doi":"10.1007/978-3-319-16417-5_2","addedAt":"2026-08-31T06:39:56.492Z","updatedAt":"2026-08-31T06:39:59.254Z"},{"id":"doi:10.70675/d839efd8zf3aaz49ddz97a4z32f586f8038f","name":"Diagnostic and fault-tolerant control applied to an unmanned aerial vehicle","source":"crossref","abstract":"Diagnostic et tolérance aux fautes appliqués à un drone Les travaux de recherches sur la commande, le diagnostic et la tolérance aux défauts appliqués aux drones deviennent de plus en plus populaires. Il est judicieux de concevoir des lois de commande qui garantissent la stabilité et les performances du drone, non seulement dans le cas nominal, mais également en présence de fortes perturbations et de défauts.Dans cette thèse, un nouvel algorithme bio-inspiré adapté pour la recherche de solutions dans des problèmes d’optimisation est développé. Cet algorithme est utilisé pour trouver les gains des différents contrôleurs conçus pour les drones. La commande par mode glissant est utilisée pour développer deux contrôleurs passifs tolérants aux défauts pour les quadrirotors: un contrôleur par mode glissant augmentée avec un intégrateur, et un contrôleur par mode glissant implémenté en cascade. Parce que les commandes passives ont une robustesse réduite, une commande active par mode glissant est développée. Pour traiter les défauts extrêmes, un contrôleur d’urgence basé sur la conversion du quadrirotor en trirotor est développé. Les commandes actives, passives, et le contrôleur d’urgences sont ensuite intégrés pour former un contrôleur tolérant aux défauts capable de gérer un grand nombre de défaillances tout en garantissant les ressources actionneur et en limitant la charge de calcul du processeur. Finalement, des contrôleurs tolérants aux défauts, actifs et passifs, basés sur des méthodes par mode glissant du premier et deuxième ordre sont développées pour les octorotors. La commande active utilise des méthodes d’allocation de contrôles pour redistribuer les efforts sur les actionneurs sains, réduisant ainsi l’effet du défaut.","url":"https://doi.org/10.70675/d839efd8zf3aaz49ddz97a4z32f586f8038f","authors":["Abdel-Razzak Merheb"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-04-02T07:35:22Z","doi":"10.70675/d839efd8zf3aaz49ddz97a4z32f586f8038f","addedAt":"2026-08-31T06:39:56.492Z","updatedAt":"2026-08-31T06:39:59.254Z"},{"id":"doi:10.14711/thesis-b1627134","name":"The design and development of a base station for small unmanned aerial vehicle","source":"crossref","abstract":"","url":"https://doi.org/10.14711/thesis-b1627134","authors":["Mingxi Wang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2017-01-16T02:29:45Z","doi":"10.14711/thesis-b1627134","addedAt":"2026-08-31T06:39:56.492Z","updatedAt":"2026-08-31T06:39:59.254Z"},{"id":"doi:10.1109/apuavd64488.2024.10765871","name":"Layer-by-layer Learning In Image Processing For Unmanned Aerial Vehicle","source":"crossref","abstract":"","url":"https://doi.org/10.1109/apuavd64488.2024.10765871","authors":["Victor Sineglazov","Petro Chynnyk"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-01-10T19:53:12Z","doi":"10.1109/apuavd64488.2024.10765871","addedAt":"2026-08-31T06:39:56.492Z","updatedAt":"2026-08-31T06:39:59.254Z"},{"id":"doi:10.2139/ssrn.4001327","name":"A Design of Solar Powered Unmanned Aerial Vehicle","source":"crossref","abstract":"Commercial planes run on regular gasoline. These fuels have a short lifespan, are expensive, and pollute the environment. Furthermore, due to scarcity, the price of gasoline and other fuels is expected to rise in the near future. As a result, there is a high demand for the usage of non-exhaustible, limitless energy sources such as solar energy. In this paper use of solar cells to extend the range of an unmanned aerial vehicle. Solar-powered aircrafts, can be utilized for a variety of aerial surveillance and unmanned flights. This paper depicts the history, application, and use of solar aircraft in a concise manner. We attempted to check for a difference in range value with the battery and solar cell combination and offered an estimate for the same with the battery-only configuration. Also discussed is the design and manufacture of solar-powered unmanned aerial vehicle.","url":"https://doi.org/10.2139/ssrn.4001327","authors":["Keerthana Reghunath","Narayana Swamy Ramaiah"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2022-01-07T10:20:21Z","doi":"10.2139/ssrn.4001327","addedAt":"2026-08-31T06:39:56.492Z","updatedAt":"2026-08-31T06:39:59.254Z"},{"id":"doi:10.1109/apuavd.2017.8308789","name":"Identification of unmanned aerial vehicle flight situation","source":"crossref","abstract":"","url":"https://doi.org/10.1109/apuavd.2017.8308789","authors":["V. P. Kharchenko","N. S. Kuzmenko","I. V. Ostroumov"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2018-03-08T21:32:37Z","doi":"10.1109/apuavd.2017.8308789","addedAt":"2026-08-31T06:39:56.492Z","updatedAt":"2026-08-31T06:39:59.254Z"},{"id":"doi:10.36227/techrxiv.24717876.v1","name":"An Intelligent System for Unmanned Aerial Vehicle Swarm Cooperative Missions","source":"crossref","abstract":"Unmanned Aerial Vehicles play a crucial role in various operations especially where human life must be protected. This work presents an adaptable intelligent system suitable to enhance the efficiency and effectiveness of drone swarm operations in a 3D dynamic environment. The system incorporates several modules, including an Ant Colony Optimization (ACO)-based path planning algorithm, collision avoidance mechanism, messaging system, and a hybrid navigation approach, which evaluates the application requirements to decide to prioritize the desired formation of the swarm or the path length and flight time. The proposed system is adaptable and can optimize to several optimization parameters, including solution quality, time consumption, mission completeness, and average divergence. The experiments show that the system consistently provides high-quality paths, achieving around 97% path quality in most cases, and never declines below 90%, even in challenging scenarios. The collision avoidance module ensures 100% mission completeness successfully navigating drones around obstacles and maintaining an optimal path. Moreover, the hybrid navigation approach demonstrates the ability to maintain desired formations while dynamically adapting to obstacles. The systemâ\\euro™s performance shows its potential for real-world applications, ensuring efficient and autonomous operations in different missions.","url":"https://doi.org/10.36227/techrxiv.24717876.v1","authors":["Areej Alabbadi","Belal Sababha"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-12-06T23:03:35Z","doi":"10.36227/techrxiv.24717876.v1","addedAt":"2026-08-31T06:39:56.492Z","updatedAt":"2026-08-31T06:39:59.254Z"},{"id":"doi:10.1007/978-3-031-45321-2_11","name":"Use of Unmanned Aerial Vehicles for Imaging and Remote Sensing","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-031-45321-2_11","authors":["Alpaslan Durmuş","Erol Duymaz"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-11-17T17:03:08Z","doi":"10.1007/978-3-031-45321-2_11","addedAt":"2026-08-31T06:39:56.492Z","updatedAt":"2026-08-31T06:39:59.254Z"},{"id":"doi:10.1109/apuavd.2017.8308820","name":"Unmanned aerial vehicle navifation system based on IEEE 802.15.4 standard radiounits","source":"crossref","abstract":"","url":"https://doi.org/10.1109/apuavd.2017.8308820","authors":["V. M. Sineglazov","E. V. Daskal"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2018-03-08T16:32:37Z","doi":"10.1109/apuavd.2017.8308820","addedAt":"2026-08-31T06:39:56.492Z","updatedAt":"2026-08-31T06:39:59.254Z"},{"id":"doi:10.5772/intechopen.1014814","name":"Cooperative Autonomy of Unmanned Aerial Systems – Stable Swarm Formation and Deconfliction for Next-Generation Aerial Collaboration","source":"crossref","abstract":"Unmanned aerial vehicles (UAVs) are quickly becoming not only isolated systems but also cooperative and intelligent, with the ability to perform in complex, dynamic, and contested environments. With the growth in size and autonomy of mission requirements, the safety of such coordination, formation control, and strong deconfliction between or among multiple aerial agents has emerged as a significant research and engineering issue. The book chapter introduces a comprehensive discourse on emerging ideas in UAV collaboration, especially their application to increase the resilience of a system by applying intelligent deconfliction strategies and formation adaptability techniques. It presents the basic concepts of cooperative autonomy and swarm intelligence, linking the theoretical background with practical design issues. The chapter examines how distributed decision-making, communication-aware coordination, and conflict-avoidance mechanisms are useful in ensuring stability and reliability in multi-UAV operations. It has a specific focus on resilience and deals with the manner in which formations respond to uncertainties like communication delays, dynamic obstacles, partial system failures, and unfavorable conditions. Based on developments in control theory, optimization, artificial intelligence (AI), and computational coordination models, the book chapter surveys classical swarm control methods and learning swarm control methods for civilian, industrial, and military uses. It is a comprehensive but affordable source of information for the design of safe, effective, and resilient cooperative UAV systems.","url":"https://doi.org/10.5772/intechopen.1014814","authors":["Nimra Iqbal","Izzatdin bin Abdul Aziz","Muhammad Faisal Raza"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-05-07T07:47:46Z","doi":"10.5772/intechopen.1014814","addedAt":"2026-08-31T06:39:56.492Z","updatedAt":"2026-08-31T06:39:59.807Z"},{"id":"doi:10.30518/jav.1818822","name":"The Role of Unmanned Aerial Vehicles in Preventing Forest Fires and Their Effectiveness Evaluation: Aksungur Unmanned Aerial Vehicle Example","source":"crossref","abstract":"Forests, one of our most important natural resources, are under threat of decline and extinction due to factors such as increasing populations, expanding agricultural lands to meet needs, urbanization and industrialization. This study evaluates the use of unmanned aerial vehicles in detecting and preventing forest fires, which are increasing in frequency and intensity due to factors such as human activities, climate change and inadequate prevention and response. Furthermore, recommendations were developed based on the evaluation of data collected during unmanned aerial vehicles’ forest fire prevention missions. Research on forest fires and unmanned aerial vehicles have focused on topics such as mitigating the impacts of forest fires and developing forest firefighting strategies, highlighting the significant role that unmanned aerial vehicles play in these processes. One of the objectives of this study is to examine forest fires within the framework of crisis management and to contribute to the use of unmanned aerial vehicles in forest fires detection for crisis management purposes.","url":"https://doi.org/10.30518/jav.1818822","authors":["Firat Işik","Haydar Ateş"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-02-26T20:30:18Z","doi":"10.30518/jav.1818822","addedAt":"2026-08-31T06:39:56.492Z","updatedAt":"2026-08-31T06:39:59.807Z"},{"id":"doi:10.1002/9781118377178.ch5","name":"Remote Sensing Using Single Unmanned Aerial Vehicle","source":"crossref","abstract":"","url":"https://doi.org/10.1002/9781118377178.ch5","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2012-07-28T08:05:50Z","doi":"10.1002/9781118377178.ch5","addedAt":"2026-08-31T06:39:56.492Z","updatedAt":"2026-08-31T06:39:59.807Z"},{"id":"doi:10.21203/rs.3.rs-3240279/v1","name":"Research on Data Annotation Based on Multi-Resolution Unmanned Aerial Vehicle (UAV) Aerial Imagery","source":"preprints","abstract":"Abstract The current methods used to annotate aerial imagery from unmanned aerial vehicles (UAVs) often have limitations when it comes to scenarios with multiple resolutions. These scenarios can include different scales, challenging weather conditions, or low light situations, where traditional annotation techniques may not be effective. To overcome this challenge, this research paper proposes an innovative approach to data annotation specifically designed for multi-resolution UAV aerial imagery. Instead of using standard image enhancement methods, this approach incorporates multiple resolutions to ensure consistent and high-quality annotation across various UAV image conditions. By utilizing enhancement, generation, and discrimination networks, a new method based on StyleGAN is introduced. This method focuses on controlling image enhancement and incorporates a regularization term error to guide the generative network towards convergence. The experimental results demonstrate a significant enhancement in annotation accuracy and robustness compared to existing models, particularly in complex multi-resolution environments.","url":"https://doi.org/10.21203/rs.3.rs-3240279/v1","authors":["TAO XU","BIQING ZHANG","XIAOLU ZHANG"],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2023","doi":"10.21203/rs.3.rs-3240279/v1","addedAt":"2026-08-31T06:39:56.492Z","updatedAt":"2026-08-31T06:40:02.531Z"},{"id":"doi:10.1002/gj.4763/v1/decision1","name":"Decision letter for \"Unmanned aerial vehicle navigation in underground structure inspection: A review\"","source":"crossref","abstract":"","url":"https://doi.org/10.1002/gj.4763/v1/decision1","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-05-23T17:01:20Z","doi":"10.1002/gj.4763/v1/decision1","addedAt":"2026-08-31T06:39:56.492Z","updatedAt":"2026-08-31T06:40:02.531Z"},{"id":"doi:10.2139/ssrn.4743014","name":"Path Planning of Aerial Docking of Multi-Body Unmanned Aerial Vehicle","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.4743014","authors":["Yixiang Gao","kangwen Sun","Chenxuan Zhao","Xinzhe Ji","Dongji Cheng"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-02-29T19:17:36Z","doi":"10.2139/ssrn.4743014","addedAt":"2026-08-31T06:39:56.492Z","updatedAt":"2026-08-31T06:40:02.531Z"},{"id":"doi:10.1016/b978-0-12-820276-0.00009-1","name":"Modeling and control of a quadrotor unmanned aerial vehicle using type-2 fuzzy systems","source":"crossref","abstract":"","url":"https://doi.org/10.1016/b978-0-12-820276-0.00009-1","authors":["Ayad Al-Mahturi","Fendy Santoso","Matthew A. Garratt","Sreenatha G. Anavatti"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2021-01-30T02:06:59Z","doi":"10.1016/b978-0-12-820276-0.00009-1","addedAt":"2026-08-31T06:39:56.492Z","updatedAt":"2026-08-31T06:40:02.531Z"},{"id":"doi:10.1038/s41598-026-62985-3","name":"ACSFANet: Adaptive Cross-Scale Feature Aggregation Network for miniature defect detection in UAV-based distribution network inspection","source":"crossref","abstract":"","url":"https://doi.org/10.1038/s41598-026-62985-3","authors":["Xiaosa Yun","Jianguo Han","Jing Hu","Hongyan Yun","Yaqin Yun","Bateer","Yuanbo Wen"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-08-03T12:27:33Z","doi":"10.1038/s41598-026-62985-3","addedAt":"2026-08-31T06:39:56.492Z","updatedAt":"2026-08-31T06:39:59.807Z"},{"id":"doi:10.1109/leficlu65987.2025.11297331","name":"Research on unmanned aerial vehicle cluster anti-disturbance flight control technology based on dynamic wind field sensing","source":"crossref","abstract":"","url":"https://doi.org/10.1109/leficlu65987.2025.11297331","authors":["Yuzhou Fang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-12-19T18:56:52Z","doi":"10.1109/leficlu65987.2025.11297331","addedAt":"2026-08-31T06:39:56.492Z","updatedAt":"2026-08-31T06:39:59.807Z"},{"id":"doi:10.3724/sp.j.1087.2011.00170","name":"Survey on image mosaic algorithm of unmanned aerial vehicle","source":"crossref","abstract":"","url":"https://doi.org/10.3724/sp.j.1087.2011.00170","authors":["Ying-chen DI","Yun-ping CHEN","Ying-ying CHEN","Yan CHEN"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2011-03-22T03:19:25Z","doi":"10.3724/sp.j.1087.2011.00170","addedAt":"2026-08-31T06:39:56.492Z","updatedAt":"2026-08-31T06:40:02.531Z"},{"id":"doi:10.2172/1888615","name":"Unmanned Aerial Vehicle Synthetic Aperture RADAR for Surface Change Monitoring","source":"crossref","abstract":"","url":"https://doi.org/10.2172/1888615","authors":["David Yocky","Roger West"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2022-11-25T03:15:00Z","doi":"10.2172/1888615","addedAt":"2026-08-31T06:39:56.492Z","updatedAt":"2026-08-31T06:40:02.531Z"},{"id":"doi:10.6028/nist.gcr.15-982","name":"NIST WUI Project - MLB Superbat Unmanned Aerial Vehicle System User Manual","source":"crossref","abstract":"","url":"https://doi.org/10.6028/nist.gcr.15-982","authors":["Michael Hennig","Karen Jackson"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2015-02-10T22:03:22Z","doi":"10.6028/nist.gcr.15-982","addedAt":"2026-08-31T06:39:56.492Z","updatedAt":"2026-08-31T06:40:02.531Z"},{"id":"doi:10.15771/ma_2015_1","name":"Conception and development of a universal, cost-efficient and unmanned rescue aerial vehicle","source":"crossref","abstract":"To this day, charities have not been able to provide individual help for people in need. The aim of the thesis was to develop and construct a universal aerial transporter which could be used to support charities in disaster scenarios. The focus was on the technical development based on the results of a feasibility study. The main requirements for the development were in particular: the lowest possible cost for acquisition and maintenance, providing an easy way of reproduction and the ability to control the system using mobile devices. The legal aspects and the collision avoidance were given less priority or were not considered. In order to identify the current capabilities of charities and their actual problems, a survey among different organisations was done. The results suggested the need for a transport solution. As suitable transport solutions already exist for goods of a mass of at least 50 kg and a transport distance of not less than 100 km, this thesis focuses on the development of a solution below that range and mass. Various other research works were considered, and it became obvious that most of the research was not concerned with the individual support in rescue operations. These findings were used to gather the requirements for the solution. Subsequently, a market research was carried out and possible solutions were compared. As it became apparent that there was no suitable solution available, it was decided to develop a new aerial vehicle. To this end every part that was needed and suitable was individually compared and selected. After the transport vehicle had been developed, the system was built. Parts which were not available, especially for the frame and the universal mounting system, were also developed and produced. In order to increase the flight time of the vehicle, materials of a very low mass were used. During the project a prototype of a universal and unmanned aerial vehicle was successfully developed and constructed. For the transport of different types of goods two different types of universal payload mounting systems were designed. The latter was capable of holding goods with a mass of up to 5 kg. The system allows control of the vehicle in a very convenient way using a mobile device like a smartphone or a tablet. No regular remote control was needed, though still being supported by the system. By means of an android application missions could be created and transmitted wirelessly to the vehicle. After the transmission the system performed the mission autonomously. Due to an insufficient stiffness of the frame, a longer flight test is still outstanding. The automatic release of the payload at the destination required an adjustment of the used application or at least a regular radio control in range. The servo motors used for the mounting system tended to yaw their arms and also required a permanent power supply. Further developments should review the use of alternative motors for the mounting system.","url":"https://doi.org/10.15771/ma_2015_1","authors":["Christoph-Benjamin Sponholz","Sponholz, Christoph-Benjamin"],"tags":["620 Ingenieurwissenschaften und zugeordnete Tätigkeiten","FOS: Electrical engineering, electronic engineering, information engineering"],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2015","doi":"10.15771/ma_2015_1","addedAt":"2026-08-31T06:39:56.492Z","updatedAt":"2026-08-31T06:40:02.531Z"},{"id":"doi:10.12794/metadc849706","name":"Implementation of an Unmanned Aerial Vehicle for New Generation Peterbilt Trucks","source":"crossref","abstract":"As science and technology continue to advance, innovative developments in transportation can enhance product safety and security for the benefit and welfare of society. The federal government requires every commercial truck to be inspected before each trip. This pre-trip inspection ensures the safe mechanical condition of each vehicle before it is used. An Unmanned Aerial Vehicle (UAV) could be used to provide an automated inspection, thus reducing driver workload, inspection costs and time while increasing inspection accuracy. This thesis develops a primary component of the algorithm that is required to implement UAV pre-trip inspections for commercial trucks using an android-based application. Specifically, this thesis provides foundational work of providing stable height control in an outdoor environment using a laser sensor and an android flight control application that includes take-off, landing, throttle control, and real-time video transmission. The height algorithm developed is the core of this thesis project. Phantom 2 Vision+ uses a pressure sensor to calculate the altitude of the drone for height stabilization. However, these altitude readings do not provide the precision required for this project. Rather, the goal of autonomously controlling height with great precision necessitated the use of a laser rangefinder sensor in the development of the height control algorithm. Another major contribution from this thesis research is to extend the limited capabilities of the DJI software development kit in order to provide more sophisticated control goals without modifying the drone dynamics. The results of this project are also directly applicable to a number of additional uses of drones in the transportation industry.","url":"https://doi.org/10.12794/metadc849706","authors":["Venkatesh Srinivasan K"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-03-28T07:38:31Z","doi":"10.12794/metadc849706","addedAt":"2026-08-31T06:39:56.492Z","updatedAt":"2026-08-31T06:40:02.531Z"},{"id":"doi:10.70675/f805cd5az289fz4a24zba4fzc6083ae4c260","name":"Landing of a fixed-wing unmanned aerial vehicle in a limited area","source":"crossref","abstract":"Atterrissage d'un véhicule aérien à voilure fixe dans une zone réduite Le projet de thèse consiste à développer une solution pour l'atterrissage d'un drone à voilure fixe de configuration classique dans une zone limitée. Le principal défi consiste à réduire la vitesse de l'avion à une phase minimale pendant le vol, à l'aide d'algorithmes de contrôle automatique. La réduction de la vitesse d'un drone à voilure fixe s'effectue en augmentant son angle d'attaque, ce qui implique un freinage par la force de traînée. Cependant, cette manœuvre est critique pour un avion conventionnel, parce que si son angle d'attaque augmente au-delà de l'angle de décrochage, le véhicule peut perdre sa contrôlabilité, c'est-à-dire qu'il est possible que le véhicule aérien s'effondre et que sa structure soit endommagée. Le modèle mathématique est une représentation d'équations qui décrit le comportement de la dynamique du système. En considérant plusieurs variables pour obtenir une meilleure approximation de la dynamique du système, dans notre cas le véhicule à voilure fixe, la conception des stratégies de contrôle sera plus difficile et plus complexe. Dans ce travail de recherche, nous utiliserons un modèle mathématique non linéaire car les effets de décrochage peuvent être inclus par des approximations mathématiques du moment de tangage, des forces de portance et de traînée. Cela nous permet d'obtenir une meilleure performance des lois de contrôle pour la navigation autonome du drone à voilure fixe. L'une des limites des véhicules à voilure fixe est qu'ils atterrissent dans des espaces de dimensions réduites et que le pourcentage de dommages subis par leur structure est élevé. En outre, les perturbations extérieures et l'inexpérience des pilotes augmentent le risque de dommages. Il est bien connu qu'il est très difficile de satisfaire aux conditions d'une piste d'atterrissage. Par conséquent, la communauté scientifique s'est efforcée de mettre au point des solutions pour l'atterrissage dans des zones limitées. Dans la littérature, on trouve quelques solutions basées sur des véhicules hybrides et des systèmes de récupération. Les véhicules hybrides consistent à modifier la structure d'un véhicule à voilure fixe. Les moteurs sont répartis stratégiquement pour obtenir une configuration de véhicule multirotor, offrant certaines caractéristiques telles que le décollage et l'atterrissage verticaux. Cependant, ces actionneurs augmentent la masse du véhicule, la consommation d'énergie (ce qui réduit la durabilité du vol), la probabilité de défaillance, le coût d'acquisition, de réparation et d'entretien. Notre objectif dans ce travail de recherche est de concevoir et de valider des stratégies de contrôle pour l'atterrissage d'un drone à voilure fixe dans un espace limité. Les stratégies de contrôle ont été conçues selon deux approches : la première est basée sur le développement de manœuvres pour un drone à voilure fixe afin de réduire la vitesse à une phase minimale pendant le vol. Dans la deuxième approche, nous avons travaillé sur les stratégies de contrôle pour l'atterrissage d'un drone à voilure fixe sur un véhicule terrestre en mouvement. Une stratégie de contrôle a été proposée pour réduire la vitesse du drone à voilure fixe au minimum afin d'être capturé par un système de récupération. La stratégie de contrôle a été divisée en trois étapes de vol : dans la première étape, l'avion s'aligne dans le plan x-y tandis qu'il est conduit à une altitude souhaitée pour effectuer un vol de croisière. L'étape suivante consiste en un vol ascendant, axé sur le suivi d'une référence angulaire basée sur une trajectoire phugoïde. Cette trajectoire implique une augmentation de l'angle d'attaque jusqu'à l'angle de décrochage de l'avion. Ainsi, la vitesse aérienne obtient une réduction maximale dans des conditions sûres, permettant au drone d'être capturé par le système de récupération. Toutefois, si le drone n'est pas capturé par le système de récupération, une straté","url":"https://doi.org/10.70675/f805cd5az289fz4a24zba4fzc6083ae4c260","authors":["Armando Alatorre Sevilla"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-04-08T19:45:54Z","doi":"10.70675/f805cd5az289fz4a24zba4fzc6083ae4c260","addedAt":"2026-08-31T06:39:56.492Z","updatedAt":"2026-08-31T06:40:02.531Z"},{"id":"doi:10.1115/1.0004484v","name":"Developing an Efficient Approach for Unmanned Aerial Vehicle Reliability Analysis","source":"crossref","abstract":"","url":"https://doi.org/10.1115/1.0004484v","authors":["Mohammad Pourgol-Mohammad","Ahmad Khayati"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2021-08-03T19:23:15Z","doi":"10.1115/1.0004484v","addedAt":"2026-08-31T06:39:56.492Z","updatedAt":"2026-08-31T06:40:02.531Z"},{"id":"doi:10.1007/978-3-030-27157-2","name":"Unmanned Aerial Vehicle: Applications in Agriculture and Environment","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-030-27157-2","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2019-11-18T06:02:02Z","doi":"10.1007/978-3-030-27157-2","addedAt":"2026-08-31T06:39:56.492Z","updatedAt":"2026-08-31T06:40:02.531Z"},{"id":"doi:10.23889/suthesis.63597","name":"Investigating the potential for detecting Oak Decline using Unmanned Aerial Vehicle (UAV) Remote Sensing","source":"crossref","abstract":"","url":"https://doi.org/10.23889/suthesis.63597","authors":["Jakob Iglhaut"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-06-07T09:09:48Z","doi":"10.23889/suthesis.63597","addedAt":"2026-08-31T06:39:56.492Z","updatedAt":"2026-08-31T06:40:02.531Z"},{"id":"doi:10.1109/ieeestd.2026.11573353","name":"IEEE Standard for Unmanned Aerial Vehicle (UAV) Light Detection and Ranging (LiDAR) Remote Sensing Operation","source":"crossref","abstract":"","url":"https://doi.org/10.1109/ieeestd.2026.11573353","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-06-19T19:39:20Z","doi":"10.1109/ieeestd.2026.11573353","addedAt":"2026-08-31T06:39:56.492Z","updatedAt":"2026-08-31T06:40:02.531Z"},{"id":"doi:10.26511/jkset.21.5.12","name":"Unmanned Aerial Vehicle-based Digital Topographic Map Production and Flood Flow Analysis","source":"crossref","abstract":"","url":"https://doi.org/10.26511/jkset.21.5.12","authors":["Young-Hun Oh"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2020-11-24T02:22:51Z","doi":"10.26511/jkset.21.5.12","addedAt":"2026-08-31T06:39:56.492Z","updatedAt":"2026-08-31T06:40:02.531Z"},{"id":"doi:10.31224/6582","name":"Design and Computational Analysis of Y-tail Configuration for Maritime Unmanned Aerial Vehicle","source":"crossref","abstract":"This Research article discusses the Tail design of a Maritime Unmanned Aerial Vehicle (UAV). These vehicles are used in the marine environment for surveillance and monitoring of ships and coastal areas. The objective is to design a tail with less drag and more stability. The tail components are designed considering the wing, avionics, and winglets. The analysis and correlations are made to find the most suitable tail configuration with a vertical tail volume of 0.845, with respect to the wing configuration, for better results. The Y-tail configuration provides more directional stability at a higher angle of attack with less interference drag. It is concluded that Y-tail provides the CL range from 0.595 to 1.157 for the conditions raised with different angles of attack and different velocities, and it allows for maximum maneuverability and better aerodynamic characteristics than other tails which are compared here.","url":"https://doi.org/10.31224/6582","authors":["Nishith Bhattacharya"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-03-09T16:29:44Z","doi":"10.31224/6582","addedAt":"2026-08-31T06:39:56.492Z","updatedAt":"2026-08-31T06:40:02.531Z"},{"id":"doi:10.1002/gj.4763/v4/decision1","name":"Decision letter for \"Unmanned aerial vehicle navigation in underground structure inspection: A review\"","source":"crossref","abstract":"","url":"https://doi.org/10.1002/gj.4763/v4/decision1","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-05-23T17:01:20Z","doi":"10.1002/gj.4763/v4/decision1","addedAt":"2026-08-31T06:39:56.492Z","updatedAt":"2026-08-31T06:40:02.531Z"},{"id":"doi:10.3724/sp.j.1087.2010.00971","name":"Unmanned aerial vehicle landing point recognition based on natural landform image","source":"crossref","abstract":"","url":"https://doi.org/10.3724/sp.j.1087.2010.00971","authors":["Zhong-hai LI","Nan-nan LI"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2010-05-17T04:01:13Z","doi":"10.3724/sp.j.1087.2010.00971","addedAt":"2026-08-31T06:39:56.492Z","updatedAt":"2026-08-31T06:40:02.531Z"},{"id":"doi:10.20944/preprints201707.0037.v1","name":"Unmanned Aerial Vehicle Remote Sensing Applications for Coastal Monitoring","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints201707.0037.v1","authors":["Irene Mammì","Lorenzo Rossi"],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2017","doi":"10.20944/preprints201707.0037.v1","addedAt":"2026-08-31T06:39:56.492Z","updatedAt":"2026-08-31T06:40:02.531Z"},{"id":"doi:10.5194/hess-2020-59-rc1","name":"Review of: Using unmanned aerial vehicle and volunteered geographic information to sophisticate urban flood modelling","source":"crossref","abstract":"","url":"https://doi.org/10.5194/hess-2020-59-rc1","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2020-03-27T03:16:06Z","doi":"10.5194/hess-2020-59-rc1","addedAt":"2026-08-31T06:39:56.492Z","updatedAt":"2026-08-31T06:40:02.531Z"},{"id":"doi:10.1002/gj.4763/v3/decision1","name":"Decision letter for \"Unmanned aerial vehicle navigation in underground structure inspection: A review\"","source":"crossref","abstract":"","url":"https://doi.org/10.1002/gj.4763/v3/decision1","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-05-23T17:01:20Z","doi":"10.1002/gj.4763/v3/decision1","addedAt":"2026-08-31T06:39:56.492Z","updatedAt":"2026-08-31T06:40:02.531Z"},{"id":"doi:10.21236/ada456221","name":"Unmanned Aerial Vehicle (UAV) Swarming and Formation Flight Navigation VIA LIDAR/INS","source":"crossref","abstract":"","url":"https://doi.org/10.21236/ada456221","authors":["Michael S. Braasch"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2017-08-01T19:40:28Z","doi":"10.21236/ada456221","addedAt":"2026-08-31T06:39:56.492Z","updatedAt":"2026-08-31T06:40:02.531Z"},{"id":"doi:10.1002/gj.4763/v2/decision1","name":"Decision letter for \"Unmanned aerial vehicle navigation in underground structure inspection: A review\"","source":"crossref","abstract":"","url":"https://doi.org/10.1002/gj.4763/v2/decision1","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-05-23T17:01:20Z","doi":"10.1002/gj.4763/v2/decision1","addedAt":"2026-08-31T06:39:56.492Z","updatedAt":"2026-08-31T06:40:02.531Z"},{"id":"doi:10.48047/nq.2022.20.10.nq551258","name":"Advanced Control Techniques for Unmanned Aerial Vehicle (UAV) Navigation and Flight Control","source":"crossref","abstract":"","url":"https://doi.org/10.48047/nq.2022.20.10.nq551258","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-06-18T06:16:32Z","doi":"10.48047/nq.2022.20.10.nq551258","addedAt":"2026-08-31T06:39:56.492Z","updatedAt":"2026-08-31T06:40:02.531Z"},{"id":"doi:10.26226/m.628e4d5240b9604ad9d7a07b","name":"P6-12 Evaluation of the operational performance of an agricultural unmanned aerial vehicle","source":"crossref","abstract":"","url":"https://doi.org/10.26226/m.628e4d5240b9604ad9d7a07b","authors":["Antti Lajunen"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2022-06-07T15:37:45Z","doi":"10.26226/m.628e4d5240b9604ad9d7a07b","addedAt":"2026-08-31T06:39:56.492Z","updatedAt":"2026-08-31T06:40:02.531Z"},{"id":"doi:10.4095/326066","name":"2016 unmanned aerial vehicle study at Mer Bleue, Ontario","source":"crossref","abstract":"","url":"https://doi.org/10.4095/326066","authors":["S G Leblanc","H P White"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2020-05-12T12:35:45Z","doi":"10.4095/326066","addedAt":"2026-08-31T06:39:56.492Z","updatedAt":"2026-08-31T06:40:02.531Z"},{"id":"doi:10.1109/apuavd.2017.8308800","name":"Protection of direct current circuits of unmanned aerial vehicle by screen","source":"crossref","abstract":"","url":"https://doi.org/10.1109/apuavd.2017.8308800","authors":["Ye. I. Gabrousenko","V. Pilinsky","V. Lazebnyi"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2018-03-08T16:32:37Z","doi":"10.1109/apuavd.2017.8308800","addedAt":"2026-08-31T06:39:56.492Z","updatedAt":"2026-08-31T06:40:02.531Z"},{"id":"doi:10.1109/icuas48674.2020.9213983","name":"Unmanned Aerial Vehicle Trajectory Planning via Staged Reinforcement Learning","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icuas48674.2020.9213983","authors":["Chenyang Xi","Xinfu Liu"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2020-10-06T19:58:28Z","doi":"10.1109/icuas48674.2020.9213983","addedAt":"2026-08-31T06:39:56.492Z","updatedAt":"2026-08-31T06:40:02.531Z"},{"id":"doi:10.1007/978-981-96-9662-8_1","name":"Reconfigurable Intelligent Surface for Unmanned Air Vehicle Communications: Emerging Technologies and Research Directions","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-981-96-9662-8_1","authors":["Ishtiaq Ahmad","Ramsha Narmeen"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-05-18T14:14:16Z","doi":"10.1007/978-981-96-9662-8_1","addedAt":"2026-08-31T06:39:56.492Z","updatedAt":"2026-08-31T06:40:02.531Z"},{"id":"doi:10.1109/rusautocon54946.2022.9896327","name":"Implementation Method of Rendezvous Process of Unmanned Aerial Vehicle Landing on the Mobile Unmanned Vehicle","source":"crossref","abstract":"","url":"https://doi.org/10.1109/rusautocon54946.2022.9896327","authors":["X. Zhang","M. S. Selezneva","K. A. Neusypin"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2022-09-27T19:57:44Z","doi":"10.1109/rusautocon54946.2022.9896327","addedAt":"2026-08-31T06:39:56.492Z","updatedAt":"2026-08-31T06:40:02.531Z"},{"id":"doi:10.2737/rds-2018-0047","name":"Camp Swift Fire Experiment 2014: Active fire unmanned aerial vehicle (UAV) infrared aerial imagery and video","source":"crossref","abstract":"","url":"https://doi.org/10.2737/rds-2018-0047","authors":["Derek J. McNamara"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2018-09-19T15:40:39Z","doi":"10.2737/rds-2018-0047","addedAt":"2026-08-31T06:39:56.492Z","updatedAt":"2026-08-31T06:40:02.531Z"},{"id":"doi:10.1109/apuavd.2017.8308771","name":"Mathematical model of unmanned aerial vehicle control in manual or semiautomatic modes","source":"crossref","abstract":"","url":"https://doi.org/10.1109/apuavd.2017.8308771","authors":["Volodymyr Kharchenko","Denys Matiychyk","Andrii Babenko"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2018-03-08T16:32:37Z","doi":"10.1109/apuavd.2017.8308771","addedAt":"2026-08-31T06:39:56.492Z","updatedAt":"2026-08-31T06:40:02.531Z"},{"id":"doi:10.1109/icuas.2017.7991455","name":"Skywriting unmanned aerial vehicle proof-of-concept design","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icuas.2017.7991455","authors":["Dongbin Kim","Paul Y. Oh"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2017-08-09T16:07:44Z","doi":"10.1109/icuas.2017.7991455","addedAt":"2026-08-31T06:39:56.492Z","updatedAt":"2026-08-31T06:40:02.531Z"},{"id":"doi:10.1109/reduas47371.2019.8999707","name":"Cognitive Communication Scheme for Unmanned Aerial Vehicle Operation","source":"crossref","abstract":"","url":"https://doi.org/10.1109/reduas47371.2019.8999707","authors":["Zhengjia Xu","Ivan Petrunin","Antonios Tsourdos","Mondal Sabyasachi","Alex Williamson"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2020-02-18T04:17:03Z","doi":"10.1109/reduas47371.2019.8999707","addedAt":"2026-08-31T06:39:56.492Z","updatedAt":"2026-08-31T06:40:02.531Z"},{"id":"doi:10.5220/0006670002770282","name":"“Flight Map” Modelling Intellectual Geoinformation System for\nUrban Areas Cargo Delivery by Unmanned Aerial Vehicle","source":"crossref","abstract":"","url":"https://doi.org/10.5220/0006670002770282","authors":["Oleg Golovnin","Nikita Ostroglazov","Tatyana Mikheeva"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2018-03-27T09:30:56Z","doi":"10.5220/0006670002770282","addedAt":"2026-08-31T06:39:56.492Z","updatedAt":"2026-08-31T06:40:02.531Z"},{"id":"doi:10.1109/apuavd.2017.8308826","name":"System of aided classification of ground objects by video observation from unmanned aerial vehicle","source":"crossref","abstract":"","url":"https://doi.org/10.1109/apuavd.2017.8308826","authors":["Maryna Mukhina","Iryna Barkulova"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2018-03-08T16:32:37Z","doi":"10.1109/apuavd.2017.8308826","addedAt":"2026-08-31T06:39:56.492Z","updatedAt":"2026-08-31T06:40:02.531Z"},{"id":"doi:10.1109/apuavd64488.2024.10765892","name":"Synthesis of Controller for Longitudinal Channel of Unmanned Aerial Vehicle","source":"crossref","abstract":"","url":"https://doi.org/10.1109/apuavd64488.2024.10765892","authors":["Olena Tachinina","Olexandr Lysenko","Sergiy Ponomarenko","Vladyslav Kutiepov"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-01-10T19:53:12Z","doi":"10.1109/apuavd64488.2024.10765892","addedAt":"2026-08-31T06:39:56.492Z","updatedAt":"2026-08-31T06:40:02.531Z"},{"id":"doi:10.21009/jmenara.v20i1.50117","name":"ANALISIS PENGGUNAAN UNMANNED AERIAL VEHICLE (UAV) UNTUK INSPEKSI DAN PEMODELAN 3D GEDUNG","source":"crossref","abstract":"Implementasi UAV untuk mendapatkan data citra bagi keperluan pemantauan dan inspeksi gedung telah mengalami perkembangan dalam beberapa tahun terakhir ini. Penggunaan UAV dalam penilaian dan pemodelan terutama kerusakan menjadi bagian yang terus dikembangkan dalam berbagai penelitian. Fleksibilitas operasional, efektif biaya dan efisiensi waktu menjadi faktor pendukung dalam penggunaan UAV. Oleh karena itu, penelitian ini memberikan ulasan secara komprehensif terkait pemanfaatan UAV untuk inspeksi gedung serta pemodelan 3D gedung. Lebih dari itu, penelitian ini dimaksudkan untuk memberikan informasi kerusakan bangunan untuk keperluan pemantauan lebih lanjut. Penelitian ini diusung berdasarkan pada teknik fotogrametri menggunakan sudut oblique. Analisis kerusakan didasarkan pada deteksi retakan pada dinding luar gedung sehingga dapat dikategorikan pada kerusakan rendah dan sedang. Hasil identifikasi menunjukan terdapat 262 retakan dengan estimasi retakan terpanjang yaitu 1694,20 mm. Pada data foto UAV juga dilakukan pemodelan 3D sehingga dapat dideteksi bagian atap gedung dengan prinsip dasar RANSAC. Model atap juga diidentifikasi dengan titik-titik sampel, sehingga pada iterasi ke 100 dengan threshold 0,1 maka diperoleh hasil terbaik 1,0000 dan 0,0557. Model atap yang dihasilkan ini juga dapat menjadi bagian yang dapat diaplikasikan untuk pemantauan dan perawatan gedung. Kedepannya metode ini diharapkan dapat memberikan kontribusi dalam proses inspeksi gedung.","url":"https://doi.org/10.21009/jmenara.v20i1.50117","authors":["MARTINCE NOVIANTI BANI","Helik Susilo","Anisah Nur Fajarwati"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-12-03T15:07:05Z","doi":"10.21009/jmenara.v20i1.50117","addedAt":"2026-08-31T06:39:56.492Z","updatedAt":"2026-08-31T06:40:02.531Z"},{"id":"doi:10.5220/0005952000380044","name":"Motion Error Compensation for Quad-rotor Miniature Unmanned Aerial Vehicle SAR Imaging","source":"crossref","abstract":"","url":"https://doi.org/10.5220/0005952000380044","authors":["Song Zhou","Lei Yang","Gang Xu","Guoan Bi"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2016-09-06T10:15:35Z","doi":"10.5220/0005952000380044","addedAt":"2026-08-31T06:39:56.492Z","updatedAt":"2026-08-31T06:40:02.531Z"},{"id":"doi:10.7717/peerj.14679/supp-5","name":"Supplemental Information 5: Photos of Round Field taken from a DJI Mavic 2 Air unmanned aerial vehicle.","source":"crossref","abstract":"","url":"https://doi.org/10.7717/peerj.14679/supp-5","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-01-23T04:12:07Z","doi":"10.7717/peerj.14679/supp-5","addedAt":"2026-08-31T06:39:56.492Z","updatedAt":"2026-08-31T06:40:02.531Z"},{"id":"doi:10.17918/etd-4550","name":"Environmental interaction with a mobile manipulating unmanned aerial vehicle (MM-UAV)","source":"crossref","abstract":"Given significant mobility advantages, Unmanned Aerial Vehicles (UAVs) have access to many locations that would be impossible for an unmanned ground vehicle to reach, but UAV research has historically focused on avoiding interactions with the environment. Recent advances in UAV size to payload and manipulator weight to payload ratios suggest the possibility of integration in the near future, opening the door to UAVs that can interact with their environment by manipulating objects. Because rotorcraft are inherently unstable, introduce ground effects, and experience changing flight dynamics under external loads, this research addresses the difficult task of maintaining a stable UAV platform while interacting with objects using one or more dexterous arms. This thesis establishes a way forward to solve the critical gap in aerial manipulation: characterizing reactionary forces and torques and the impact of those reactions transmitted back to a 6-DoF flying robot with arms. A force control scheme is presented to achieve manipulation from an aerial vehicle with multi-degree of freedom manipulators. Through an analysis of loosely and strongly coupled interactions with the environment, such tasks as pick-and-place, peg-in-hole, and valve turning are investigated for model verification and benchmarking. Recent results in arm motions that achieve increased flight stability indicate a tested methodology to achieve control of an air vehicle while interacting with the environment. Classic controls experiments are shown on hardware, test rigs, and in simulation to demonstrate whole-body locomotion and planning for an aerial manipulator.","url":"https://doi.org/10.17918/etd-4550","authors":["Christopher M. Korpela","Paul Yu Oh"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2021-07-16T01:20:22Z","doi":"10.17918/etd-4550","addedAt":"2026-08-31T06:39:56.492Z","updatedAt":"2026-08-31T06:40:02.531Z"},{"id":"doi:10.1109/ccece.2010.5575152","name":"Propeller dynamometer for small Unmanned Aerial Vehicle","source":"crossref","abstract":"","url":"https://doi.org/10.1109/ccece.2010.5575152","authors":["M. Raju Hossain","Nicholas Krouglicof"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2010-09-20T20:52:37Z","doi":"10.1109/ccece.2010.5575152","addedAt":"2026-08-31T06:39:56.492Z","updatedAt":"2026-08-31T06:40:02.531Z"},{"id":"doi:10.22215/etd/2022-15031","name":"Control of Unmanned Aerial Vehicle with Wing Shape Identification using Vision System and Sensor Fusion","source":"crossref","abstract":"","url":"https://doi.org/10.22215/etd/2022-15031","authors":["Julius Adoghe"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2022-07-11T19:52:46Z","doi":"10.22215/etd/2022-15031","addedAt":"2026-08-31T06:39:56.492Z","updatedAt":"2026-08-31T06:40:02.531Z"},{"id":"doi:10.1109/ieeestd.2024.10661246","name":"IEEE Recommended Practice for Functional and Interface Specifications for Unmanned Aerial Vehicle (UAV) Cellular Communication Terminals","source":"crossref","abstract":"","url":"https://doi.org/10.1109/ieeestd.2024.10661246","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-09-02T17:36:04Z","doi":"10.1109/ieeestd.2024.10661246","addedAt":"2026-08-31T06:39:56.492Z","updatedAt":"2026-08-31T06:40:02.531Z"},{"id":"doi:10.21236/ada620843","name":"An Analysis of Human Causal Factors in Unmanned Aerial Vehicle (UAV) Accidents","source":"crossref","abstract":"","url":"https://doi.org/10.21236/ada620843","authors":["Mehmet Oncu","Suleyman Yildiz"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2017-07-07T19:49:08Z","doi":"10.21236/ada620843","addedAt":"2026-08-31T06:39:56.492Z","updatedAt":"2026-08-31T06:40:02.531Z"},{"id":"doi:10.20944/preprints201811.0601.v1","name":"Unmanned Aerial Vehicle Classification, Applications and Challenges: A Review","source":"preprints","abstract":"In past few years, unmanned aerial vehicles (UAV) or drones has been a hot topic encompassing technology, security issues, rules and regulations globally due to its remarkable advancements and uses in remote sensing and photogrammetry applications. This review paper highlights the evolution and development of UAV, classification and comparison of UAVs along with Hardware and software design challenges with diverse capabilities in civil and military applications. Further, safety and security issues with drones, existing regulations and guidelines to fly the drone, limitations and possible solutions have also been discussed.","url":"https://doi.org/10.20944/preprints201811.0601.v1","authors":["Gaurav Singhal","Babankumar Bansod","Lini Mathew"],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2018","doi":"10.20944/preprints201811.0601.v1","addedAt":"2026-08-31T06:39:56.492Z","updatedAt":"2026-08-31T06:40:02.531Z"},{"id":"doi:10.1515/9783111619323-011","name":"27311 Unmanned Aerial Vehicle (UAV) Operations and Quantum-Safe Data Privacy: Ultramodern View to Realizing Cybersecurity with Artificial Intelligence (AI) Strategies","source":"crossref","abstract":"","url":"https://doi.org/10.1515/9783111619323-011","authors":["Bhupinder Singh","Saurabh Chandra","Hemant Kumar Saini"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-08-04T11:29:17Z","doi":"10.1515/9783111619323-011","addedAt":"2026-08-31T06:39:56.492Z","updatedAt":"2026-08-31T06:40:00.495Z"},{"id":"doi:10.3724/sp.j.1087.2013.01179","name":"Threat modeling and assessment of unmanned aerial vehicle under complicated meteorological conditions","source":"crossref","abstract":"","url":"https://doi.org/10.3724/sp.j.1087.2013.01179","authors":["Zhongjie WU","Yaozhong ZHANG","Qiang WANG"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2013-10-10T17:12:34Z","doi":"10.3724/sp.j.1087.2013.01179","addedAt":"2026-08-31T06:39:56.492Z","updatedAt":"2026-08-31T06:40:02.531Z"},{"id":"doi:10.1109/ieeestd.2025.10945628","name":"IEEE Standard for the Unmanned Aerial Vehicle (UAV) Polarimetric Remote Sensing Method for Earth Observation Applications","source":"crossref","abstract":"","url":"https://doi.org/10.1109/ieeestd.2025.10945628","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-03-28T23:17:01Z","doi":"10.1109/ieeestd.2025.10945628","addedAt":"2026-08-31T06:39:56.492Z","updatedAt":"2026-08-31T06:40:02.531Z"},{"id":"doi:10.1109/ieeestd.2024.10597374","name":"IEEE Standard for Flight Data Transmission of Civil Unmanned Aerial Vehicle Based on Short Message Mechanisms","source":"crossref","abstract":"","url":"https://doi.org/10.1109/ieeestd.2024.10597374","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-07-12T17:37:10Z","doi":"10.1109/ieeestd.2024.10597374","addedAt":"2026-08-31T06:39:56.492Z","updatedAt":"2026-08-31T06:40:02.531Z"},{"id":"doi:10.2139/ssrn.4578669","name":"Unmanned Aerial Vehicle Safe Autonomous Landing","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.4578669","authors":["Anthony Tzes","Athanasios Tsoukalas","Halil  Utku Unlu","Nikolaos Evangeliou"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-09-21T10:19:01Z","doi":"10.2139/ssrn.4578669","addedAt":"2026-08-31T06:39:56.492Z","updatedAt":"2026-08-31T06:40:02.531Z"},{"id":"doi:10.1016/j.measurement.2024.115340","name":"Unmanned aerial vehicle (UAV) based measurements","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.measurement.2024.115340","authors":["Mozhdeh Shahbazi"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-07-17T23:51:13Z","doi":"10.1016/j.measurement.2024.115340","addedAt":"2026-08-31T06:39:56.492Z","updatedAt":"2026-08-31T06:40:00.495Z"},{"id":"doi:10.21236/ada477535","name":"Usability Evaluation of Unmanned Aerial Vehicle Symbology","source":"crossref","abstract":"","url":"https://doi.org/10.21236/ada477535","authors":["Chris Hart","Henry P. Williams"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2017-07-14T12:10:02Z","doi":"10.21236/ada477535","addedAt":"2026-08-31T06:39:56.492Z","updatedAt":"2026-08-31T06:40:02.531Z"},{"id":"doi:10.70675/5461d70dzc9cbz4423za3bczc663eda32e4d","name":"Fault-tolerant control of a multirotor unmanned aerial vehicle under hardware and software failures","source":"crossref","abstract":"Tolérance aux fautes logicielles et matérielles pour un drone multi-rotor Le but de ce travail est de proposer des mécanismes pour les drones multirotors qui permettent d'une part de tolérer des fautes sur le drone, et d'autre part de prendre en compte les effets du vent en extérieur. Les fautes visées comportent des fautes d'actionneurs, de capteurs, mais également des fautes logicielles sur les algorithmes de fusion de données. Dans nos travaux, nous avons développé un contrôleur robuste et un observateur des perturbations extérieures capables de coopérer avec la méthode de reconfiguration des commandes, pour tolérer de façon simultanée les défaillances de moteurs et les perturbations extérieures du vent par des techniques de tolérance aux fautes active. Egalement, nous avons proposé une nouvelle technique de tolérance aux fautes des actionneurs pour un drone octorotor coaxial. Cette technique est basée sur une loi de commande robuste avec des gains reconfigurables \"self tuning sliding mode control (STSMC)\", où les gains de contrôle sont réajustés en fonction de l'erreur détectée afin de maintenir la stabilité du système. Des expériences à l'intérieur ont été menées pour montrer et comparer notre solution avec deux autres techniques de tolérances aux fautes. L'efficacité et le comportement de chaque méthode ont été étudiés après des injections de fautes successives dans les actionneurs. Les principaux avantages et inconvénients de chaque méthode sont déduits en analysant les résultats obtenus. En outre, nous proposons une approche pour la tolérance aux fautes des capteurs et mécanismes logiciels de fusion de données du drone. Cette approche est basée sur la redondance des capteurs et la diversification des composants logiciels.","url":"https://doi.org/10.70675/5461d70dzc9cbz4423za3bczc663eda32e4d","authors":["Hussein Hamadi"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-04-04T10:05:04Z","doi":"10.70675/5461d70dzc9cbz4423za3bczc663eda32e4d","addedAt":"2026-08-31T06:39:56.492Z","updatedAt":"2026-08-31T06:40:02.531Z"},{"id":"doi:10.21236/ada592189","name":"Conceptual Aerodynamic Modeling of a Flapping Wing Unmanned Aerial Vehicle","source":"crossref","abstract":"","url":"https://doi.org/10.21236/ada592189","authors":["Justin A. Yang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2017-07-20T12:27:20Z","doi":"10.21236/ada592189","addedAt":"2026-08-31T06:39:56.492Z","updatedAt":"2026-08-31T06:40:02.531Z"},{"id":"doi:10.5220/0006410002620269","name":"An Algebraic Collision Avoidance Approach for Unmanned Aerial Vehicle","source":"crossref","abstract":"","url":"https://doi.org/10.5220/0006410002620269","authors":["Adriana Dapena","María José Souto-Salorio","Ana Dorotea Tarrío-Tobar","Paula M. Castro"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2017-08-02T12:53:08Z","doi":"10.5220/0006410002620269","addedAt":"2026-08-31T06:39:56.492Z","updatedAt":"2026-08-31T06:40:02.531Z"},{"id":"doi:10.3724/sp.j.1146.2012.01601","name":"An Ultrafine Multifunctional Unmanned Aerial Vehicle SAR System","source":"crossref","abstract":"","url":"https://doi.org/10.3724/sp.j.1146.2012.01601","authors":["Yan-fei Wang","Chang Liu","Xue-li Zhan","He-ping Li"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2014-02-24T05:58:44Z","doi":"10.3724/sp.j.1146.2012.01601","addedAt":"2026-08-31T06:39:56.492Z","updatedAt":"2026-08-31T06:40:02.531Z"},{"id":"doi:10.1139/juvs-2017-0029","name":"Measuring low-altitude wind gusts using the unmanned aerial vehicle GustAV","source":"crossref","abstract":"A small unmanned aerial vehicle (SUAV) was developed with the specific objective to explore atmospheric wind gusts at low altitudes below 500 m. These gusts have significant impact on the flight characteristics and performance of SUAVs. The SUAV carried an advanced air-data system that includes a five-hole probe, which was adapted for this specific application. In several flight tests the entire test system was qualified and gust data were recorded. The subsequent experimentally derived gust data were post-processed and compared with turbulence spectra of the MIL-HDBK-1797 von Kármán turbulence model. On the day of the flight test, the experimental results did not fully match the prediction of the von Kármán model. Meanwhile, the wind measuring apparatus were proven to be able to measure gust during flight. Therefore, a broader sampling will be required to generalize the gust measurements and be compared with the existing models.","url":"https://doi.org/10.1139/juvs-2017-0029","authors":["Alton Yeung","Goetz Bramesfeld","Joon Chung","Stephen Foster"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2018-09-20T21:33:34Z","doi":"10.1139/juvs-2017-0029","addedAt":"2026-08-31T06:39:56.492Z","updatedAt":"2026-08-31T06:40:02.531Z"},{"id":"doi:10.17918/etd-3210","name":"Mixed-reality for unmanned aerial vehicle operations in near earth environments","source":"crossref","abstract":"Future applications will bring unmanned aerial vehicles (UAVs) to near Earth environments such as urban areas, causing a change in the way UAVs are currently operated. Of concern is that UAV accidents still occur at a much higher rate than the accident rate for commercial airliners. A number of these accidents can be attributed to a UAV pilot's low situation awareness (SA) due to the limitations of UAV operating interfaces. The main limitation is the physical separation between the vehicle and the pilot. This eliminates any motion and exteroceptive sensory feedback to the pilot. These limitation on top of a small field of view from the onboard camera results in low SA, making near Earth operations difficult and dangerous. Autonomy has been proposed as a solution for near Earth tasks but state of the art artificial intelligence still requires very structured and well defined goals to allow safe autonomous operations. Therefore, there is a need to better train pilots to operate UAVs in near Earth environments and to augment their performance for increased safety and minimization of accidents. In this work, simulation software, motion platform technology, and UAV sensor suites were integrated to produce mixed-reality systems that address current limitations of UAV piloting interfaces. The mixed reality definition is extended in this work to encompass not only the visual aspects but to also include a motion aspect. A training and evaluation system for UAV operations in near Earth environments was developed. Modifications were made to flight simulator software to recreate current UAV operating modalities (internal and external). The training and evaluation system has been combined with Drexel's Sensor Integrated Systems Test Rig (SISTR) to allow simulated missions while incorporating real world environmental effects and UAV sensor hardware. To address the lack of motion feedback to a UAV pilot, a system was developed that integrates a motion simulator into UAV operations. The system is designed such that during flight, the angular rate of a UAV is captured by an onboard inertial measurement unit (IMU) and is relayed to a pilot controlling the vehicle from inside the motion simulator. Efforts to further increase pilot SA led to the development of a mixed reality chase view piloting interface. Chase view is similar to a view of being towed behind the aircraft. It combines real world onboard camera images with a virtual representation of the vehicle and the surrounding operating environment. A series of UAV piloting experiments were performed using the training and evaluation systems described earlier. Subjects' behavioral performance while using the onboard camera view and the mixed reality chase view interface during missions was analyzed. Subjects' cognitive workload during missions was also assessed using subjective measures such as NASA task load index and non-subjective brain activity measurements using a functional Infrared Spectroscopy (fNIR) system. Behavioral analysis showed that the chase view interface improved pilot performance in near Earth flights and increased their situational awareness. fNIR analysis showed that a subjects cognitive workload was significantly less while using the chase view interface. Real world flight tests were conducted in a near Earth environment with buildings and obstacles to evaluate the chase view interface with real world data. The interface performed very well with real world, real time data in close range scenarios. The mixed reality approaches presented follow studies on human factors performance and cognitive loading. The resulting designs serve as test beds for studying UAV pilot performance, creating training programs, and developing tools to augment UAV operations and minimize UAV accidents during operations in near Earth environments.","url":"https://doi.org/10.17918/etd-3210","authors":["James T. Hing","Paul Yu Oh"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2021-07-16T02:36:45Z","doi":"10.17918/etd-3210","addedAt":"2026-08-31T06:39:56.492Z","updatedAt":"2026-08-31T06:40:02.531Z"},{"id":"doi:10.15282/ijets.10.1.2023.1003","name":"Implementation of Unmanned Aerial Vehicle (UAV)  for Slope Mapping","source":"crossref","abstract":"This paper discusses the applications of unmanned aerial vehicle (UAV) for slope mapping and its important parameters including perimeter, area and volume of certain selected areas at Perumahan Taman Gambang Damai in Kuantan Pahang. This study also focused on determining the potential slope hazard based on slope angle. Modern UAV able to take high quality image which essential for the effectiveness and nature of normal mapping output such as Digital Elevation Model (DEM) and Digital Orthophoto. This photo captured by the UAV will later transfer to Agisoft to generate full map of study area. With the help of Global Mapper, the measurement (perimeter, area and volume) of selected study areas can be determined easily and considered as the main interest in this study. In addition, another outcome of this study is, this modern method of mapping helps researchers and engineers to study the possibility of slope hazard based on their respective slope angle (according to slope classes). In conclusion, modern technology of UAV proves to be very effective for mapping in geotechnical engineering. Slope mapping help researchers and engineers to obtain slope measurement within short period of time compare to previous traditional method.","url":"https://doi.org/10.15282/ijets.10.1.2023.1003","authors":["M.F. Zolkepli","M.F. Ishak","F.N.A Zolfan","N.S. Yusoff","S. Daud","N.S. Mohd Zin"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-06-27T03:58:56Z","doi":"10.15282/ijets.10.1.2023.1003","addedAt":"2026-08-31T06:39:56.492Z","updatedAt":"2026-08-31T06:40:02.531Z"},{"id":"doi:10.30954/ndp-pcsa.2020.37","name":"Unmanned Aerial Vehicle Applications in Smart Agriculture","source":"crossref","abstract":"","url":"https://doi.org/10.30954/ndp-pcsa.2020.37","authors":["Dipankar , Bhattacharyay"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2020-11-30T06:53:10Z","doi":"10.30954/ndp-pcsa.2020.37","addedAt":"2026-08-31T06:39:56.492Z","updatedAt":"2026-08-31T06:40:02.531Z"},{"id":"doi:10.1007/978-90-481-9707-1_113","name":"Inventing a Biologically Inspired, Energy-Efficient Micro Aerial Vehicle","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-90-481-9707-1_113","authors":["Jayant Ratti","George J. Vachtsevanos"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2014-08-15T09:54:03Z","doi":"10.1007/978-90-481-9707-1_113","addedAt":"2026-08-31T06:39:56.492Z","updatedAt":"2026-08-31T06:40:02.531Z"},{"id":"doi:10.1109/icuas57906.2023.10155896","name":"A Multi-Objective Approach for Unmanned Aerial Vehicle Mapping","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icuas57906.2023.10155896","authors":["Ali Moltajaei Farid","Malek Mouhoub"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-06-26T18:08:46Z","doi":"10.1109/icuas57906.2023.10155896","addedAt":"2026-08-31T06:39:56.492Z","updatedAt":"2026-08-31T06:40:02.531Z"},{"id":"doi:10.20944/preprints202608.0888.v1","name":"Decentralized Unmanned Aerial Vehicle Swarms: Taxonomy, Analytical Resilience Models, and Interference Mitigation Strategies","source":"europepmc","abstract":"Decentralized swarms of unmanned aerial vehicles represent a revolutionary technology with various applications, but so far there are no systemic analytical approaches that combine technical, tactical, and ethical aspects. This paper presents a systematic review of 47 publications from IEEE Xplore, Scopus, and Web of Science (2018–2026), developing original analytical models for swarm deployment. A taxonomy of three architectural types (centralized, hierarchical, decentralized) with quantitative resilience assessment shows decentralized swarms maintain effectiveness with up to 30% agent loss, versus 5% for centralized. An analytical J/S model evaluates communication channel vulnerability to electronic warfare, while a grid weight model wi(t+1)=wi(t)+αdi(t)−βλwi(t) with threshold wth=10 enables decentralized targeting without a single point of failure. Comparative analysis of MANET and DTN protocols reveals latency, reliability, and power trade offs, justifying a hybrid scheme for combat conditions. Economic analysis demonstrates cost exchange ratios reaching 1:1000, and computing infrastructure assessment shows a 100 UAV swarm requires ≈2 PetaFLOPS with 70% ground and 30% onboard distribution using NPUs. Findings provide practical recommendations for swarm architecture selection, hybrid communication protocols, specialized autopilot modes, automated ground infrastructure, and mandatory human in the loop confirmation for critical targeting decisions. Future research priorities include experimental validation, integration with large language models, and cyber security assurance.","url":"https://doi.org/10.20944/preprints202608.0888.v1","authors":["Yuqing Zhu","Alexander Alexandrovich Boryaev"],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.20944/preprints202608.0888.v1","addedAt":"2026-08-31T06:39:56.492Z","updatedAt":"2026-08-31T06:40:08.031Z"},{"id":"doi:10.3390/plants15152265","name":"Sentinel-2 and Unmanned Aerial Vehicle (UAV) Imagery for Irrigation Scheduling in Fodder Maize: A Comparative Remote Sensing Approach.","source":"europepmc","abstract":"Accurate estimation of crop water requirements is essential to improve irrigation efficiency for forage maize production. This study compared satellite- and UAV-derived normalized difference vegetation index (NDVI) models for estimating crop coefficients (K c ) and evaluated their operational performance for irrigation scheduling. K c -NDVI models were developed during the 2023 growing season and subsequently validated under field conditions during the 2024 season in two forage maize hybrids (N83N5 and Matador) under three irrigation strategies: conventional producer irrigation (ID1), satellite-based irrigation scheduling (ID2), and UAV-based irrigation scheduling (ID3). Both NDVI sources exhibited strong relationships with K c , with higher calibration accuracy for the UAV model (R 2 = 0.9414) than for the satellite model (R 2 = 0.8278). The UAV-based model applied 23-30% less irrigation water, maintaining high water productivity but also reducing crop growth, forage yield, and nutritional quality. In contrast, satellite-based irrigation scheduling promoted greater crop growth and produced the highest forage yield, reaching 59.8 t ha -1 in hybrid N83N5 while maintaining efficient water use. This treatment also improved forage quality by increasing dry matter and starch concentrations while reducing fiber fractions. The findings highlight the complementary potential of satellite and UAV imagery in precision irrigation and underscore the trade-offs between spatial detail, temporal resolution, and operational scalability. Furthermore, the results demonstrate that a stronger K c -NDVI relationship does not necessarily translate into improved irrigation scheduling performance. Under the conditions evaluated, the satellite-based model provided the best balance between water use, forage yield, and nutritional quality.","url":"https://doi.org/10.3390/plants15152265","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.3390/plants15152265","addedAt":"2026-08-31T06:39:56.492Z","updatedAt":"2026-08-31T06:40:02.906Z"},{"id":"doi:10.3390/polym18162027","name":"Integrated Multi-Criteria Decision-Making for the Selection of Natural and Synthetic Fiber-Reinforced Composites for Unmanned Aerial Vehicle Micro-Turbojet Engine Inlets.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/polym18162027","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.3390/polym18162027","addedAt":"2026-08-31T06:39:56.492Z","updatedAt":"2026-08-31T06:40:02.906Z"},{"id":"doi:10.21203/rs.3.rs-7605133/v1","name":"A Bayesian Network Approach for Systemic Risk Analysis in Unmanned Aerial Vehicle (UAV) Operations","source":"europepmc","abstract":"Abstract Unmanned Aerial Vehicle (UAV) operations confront complex systemic risks that challenge traditional analytical methods. This paper develops a hierarchical Bayesian Network (BN) to quantitatively model these risks. Our model establishes causal pathways from foundational drivers to key performance indicators (KPIs): Safety, Mission Success, and Third-Party Risk. The baseline risk assessment reveals significant operational vulnerabilities. It identifies degraded pilot performance, evidenced by a 54\\% probability of 'Poor' Decision Making, as a primary contributor to a 56\\% baseline probability of an 'Accident'. However, a comprehensive sensitivity analysis demonstrates a more critical insight: the operational environment, specifically 'Adverse Weather' and 'Terrain \\&amp; Obstacles', constitutes the single most dominant risk driver across all KPIs. This finding underscores the strategic importance of rigorous pre-flight environmental assessment over in-flight reactive measures. Furthermore, the analysis reveals the necessity for differentiated mitigation strategies; Mission Success exhibits unique sensitivity to 'Signal Interference', a factor less critical for direct safety outcomes. This framework provides a data-driven, causal tool to support UAV operators in resource prioritization and systemic resilience enhancement within a complex operational landscape.","url":"https://doi.org/10.21203/rs.3.rs-7605133/v1","authors":["Lu Wang","Maoran Zhu","Na Li"],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.21203/rs.3.rs-7605133/v1","addedAt":"2026-08-31T06:39:56.492Z","updatedAt":"2026-08-31T06:40:05.995Z"},{"id":"doi:10.3390/s26020620","name":"Radio Frequency Signal Recognition of Unmanned Aerial Vehicle Based on Complex-Valued Convolutional Neural Network.","source":"pubmed","abstract":"The rapid development of unmanned aerial vehicle (UAV) technology necessitates reliable recognition methods. Radio frequency (RF)-based recognition is promising, but conventional real-valued CNNs (RV-CNNs) typically discard phase information from RF spectrograms, leading to degraded performance under low-signal-to-noise ratio (SNR) conditions. To address this, this paper proposes a complex-valued CNN (CV-CNN) that operates on a constructed complex representation, where the real part is the logarithmic power spectral density (PSD) and the imaginary part is derived from Sobel edge detection. This enables genuine complex convolutions that fuse magnitude and structural cues, enhancing noise resilience. As complex-valued networks are known to be sensitive to architectural choices, we conduct comprehensive ablation experiments to investigate the impact of key hyperparameters on model performance, revealing critical stability constraints (e.g., performance collapse beyond 4–5 network depth). Evaluated on the 25-class DroneRFa dataset, the proposed model achieves 100.00% accuracy under noise-free conditions. Crucially, it demonstrates significantly superior robustness in low-SNR regimes: at −20 dB SNR, it attains 15.58% accuracy, over seven times higher than a dual-channel RV-CNN (2.20%) with identical inputs; at −15 dB, it reaches 45.86% versus 14.03%. These results demonstrate that the CV-CNN exhibits potentially superior robustness and interference resistance in comparison to its real-valued counterpart, maintaining high recognition accuracy even under low-SNR conditions.","url":"https://doi.org/10.3390/s26020620","authors":["Yibo Xin","Junsheng Mu","Xiaojun Jing","Wei Liu","Xin Y","Mu J","Jing X","Liu W"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.3390/s26020620","addedAt":"2026-08-31T06:39:56.492Z","updatedAt":"2026-08-31T06:40:02.907Z"},{"id":"doi:10.1016/j.rsase.2026.102011","name":"Enhancing &lt;i&gt;Aedes aegypti&lt;/i&gt; breeding site detection: A deep learning approach to tire identification in unmanned aerial vehicle imagery from urban Indonesia.","source":"europepmc","abstract":"","url":"https://doi.org/10.1016/j.rsase.2026.102011","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.1016/j.rsase.2026.102011","addedAt":"2026-08-31T06:39:56.492Z","updatedAt":"2026-08-31T06:40:02.906Z"},{"id":"doi:10.3390/s24227247","name":"Unmanned Aerial Vehicle Photogrammetry for Monitoring the Geometric Changes of Reclaimed Landfills.","source":"europepmc","abstract":"Monitoring reclaimed landfills is essential for ensuring their stability and monitoring the regularity of facility settlement. Insufficient recognition of the magnitude and directions of these changes can lead to serious damage to the body of the landfill (landslides, sinkholes) and, consequently, threaten the environment and the life and health of people near landfills. This study focuses on using UAV photogrammetry to monitor geometric changes in reclaimed landfills. This approach highlights the advantages of UAVs in expanding the monitoring and providing precise information critical for decision-making in the reclamation process. This study presents the result of annual photogrammetry measurements at the Słabomierz–Krzyżówka reclaimed landfill, located in the central part of Poland. The Multiscale Model to Model Cloud Comparison (M3C2) algorithm was used to determine deformation at the landfill. The results were simultaneously compared with the landfill’s reference (angular–linear) measurements. The mean vertical displacement error determined by the photogrammetric method was ±2.3 cm. The results showed that, with an appropriate measurement methodology, it is possible to decide on changes in geometry reliably. The collected 3D data also gives the possibility to improve the decision-making process related to repairing damage or determining the reclamation direction of the landfill, as well as preparing further development plans.","url":"https://doi.org/10.3390/s24227247","authors":["Grzegorz Pasternak","Klaudia Pasternak","Eugeniusz Koda","Paweł Ogrodnik"],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.3390/s24227247","addedAt":"2026-08-31T06:39:56.492Z","updatedAt":"2026-08-31T06:39:57.917Z"},{"id":"doi:10.1038/s41598-025-05322-4","name":"Multi-source data fusion-based knowledge transfer for unmanned aerial vehicle flight data anomaly detection and recovery.","source":"pubmed","abstract":"Flight data anomaly detection (AD) is essential for unmanned aerial vehicle (UAV) health management. Despite the current dominance of data-driven approaches, their effectiveness often requires sufficient data for model training. However, in practice, it is inevitable to face the situation of limited data, such as the high cost of data acquisition and the difficulty of collecting data in special scenarios, resulting in the performance degradation of the traditional data-driven methods with limited samples. This paper proposes an innovative data-driven approach leveraging transfer learning to detect and recover abnormal UAV flight data with limited samples through multi-source data fusion. First, a data-driven framework based on one-dimensional convolutional neural network and bi-directional long short-term memory (1D CNN-BiLSTM) with parameter selection and residual smoothing (1DCB-PSRS) is proposed. It employs the designed 1D CNN-BiLSTM prediction model for fully extracting spatiotemporal features of flight data, the maximum information coefficient (MIC) for parameter selection, and the exponentially weighted moving average (EWMA) for residual smoothing, thereby improving the AD and recovery performance. Second, multiple source domains with sufficient data are fused to pre-train the model to gain initialized parameters for the target domain. Then, the model is fine-tuned using limited training samples in the target domain through model-based transfer learning method and is evaluated using test data of the target domain. Finally, the effectiveness of the proposed method is verified on real UAV flight data.","url":"https://doi.org/10.1038/s41598-025-05322-4","authors":["Yang L","Li S","Yu L","Zhu C","Wang C"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.1038/s41598-025-05322-4","addedAt":"2026-08-31T06:39:56.492Z","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"doi:10.1371/journal.pone.0318769","name":"The spatiotemporal evolution of flight-coupled wind field for a four-rotor plant protection unmanned aerial vehicle.","source":"pubmed","abstract":"The four-rotor plant protection Unmanned Aerial Vehicle (UAV) is an important piece of equipment for the efficient plant protection field. However, the flight-coupled wind field is unclear, which has become the bottleneck factor limiting the improvement of the spray quality. When the multi-rotor plant protection UAV flew and sprayed, the liquid droplets were accelerated, the stems and branches were shaken, and the leaves were turned over in the disturbance area of the spiral backward flight-coupled wind field. The flight-coupled wind field, liquid droplets and crop canopy were closely related. Only when the flight-coupled wind field was analyzed could the interaction mechanism among the flight-coupled wind field, liquid droplets, and crop canopy be effectively studied, then the flight and spray scheme could be reasonably formulated. By combining the Re-Normalization Group (RNG) k-&#x3b5; turbulence model, compressible Reynolds Averaged Navier-Stokes (RANS) equation, the dynamic mesh based on the spring smoothing and layering method, pressure-velocity coupling algorithm, a computational fluid dynamics (CFD) model of the flight-coupled wind field for the four-rotor plant protection UAV was established, the dynamic evolution law of the flight-coupled wind field in the spatial and temporal dimensions was also discussed in this paper. Numerical simulations were carried out for flight-coupled wind fields in two working conditions, analysis showed that the maximum relative error between the simulated and measured values of Zb-direction (Z direction in the absolute coordinate system) velocity was less than 12.7% when the flight-coupled wind field was stable. When switching from hover to flight state, the downwash wind field experienced a lateral interruption and developed into the stable flight-coupled wind field after flying for 0.696&#x2009;s, and the velocity distribution diagram of the cross section evolved from four rings to four horseshoe vortices. When the flight-coupled wind field evolved to stabilize, the dense atmosphere reduced the absolute values of the four Zb-direction velocity peaks at observation line 1 from left to right along the flight direction by 4.5%, 4.2%, 9.0%, and 26.1% respectively. The angles between the horizontal direction and the four curves formed by Zb-direction velocity peaks were also changed from 90&#xb0; to 72&#xb0;, 69&#xb0;, 61&#xb0;, and 56&#xb0; respectively at the flight speed of 3 m/s. Therefore, the installation of the nozzle and the formulation of the spray strategy are crucial to improve the spray deposition effect.","url":"https://doi.org/10.1371/journal.pone.0318769","authors":["Yang F","Li Z","Zhang G","Zhou H"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.1371/journal.pone.0318769","addedAt":"2026-08-31T06:39:56.492Z","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"doi:10.3390/s25175452","name":"Accuracy of 3D Ground Radio Station Location by a Single Unmanned Aerial Vehicle (UAV) as a Function of an Increasing Number of Received Signal Strength Indicator (RSSI) Measurements.","source":"pubmed","abstract":"The article presents the results of simulation studies assessing the potential value of increasing the accuracy of radio signal source localization as a function of the increasing number of measures performed by a simple UAV (omnidirectional antenna, low flight altitude) in the Rice channel conditions and 3D space. The comparison was made for Range-Based localization methods such as Min-Max, Multilateration, and Nonlinear Regression with an additional assessment of the impact of Kalman filtering. It is estimated that, depending on the adopted localization method, thanks to the use of a large number of measurements performed by the UAV, one can count on a 2 to 6 times increase in localization accuracy in relation to the variant limited by measurements. The above is a good prognosis for the multi-task use of COTS UAV.","url":"https://doi.org/10.3390/s25175452","authors":["Michalak J"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.3390/s25175452","addedAt":"2026-08-31T06:39:56.492Z","updatedAt":"2026-08-31T06:40:02.533Z"},{"id":"doi:10.1016/j.scitotenv.2025.180256","name":"A novel and scalable flood risk assessment framework for cultural heritage based on unmanned aerial vehicle photogrammetry and multi-scale rain-on-grid hydraulic modeling.","source":"pubmed","abstract":"This study presents a novel multi-scale flood risk assessment framework for cultural heritage sites, applied to the Temple of Apollo, Aegina Island, Greece. Three modeling configurations were developed and compared: (i) an island-wide Rain-on-Grid (RoG) hydraulic model at 5&#xa0;m resolution, (ii) a site-only model driven by inflows from the island-scale simulation, and (iii) a high-resolution nested model coupling island-scale outputs with centimeter-scale site RoG simulations enabled by UAV photogrammetry. Simulations for 100-, 1000-, and 2000-year return periods revealed strong scale-dependent differences: island-wide inundation extents of 7.3-10.3&#xa0;km 2 , site-specific inundation of 2-24&#xa0;%, and water volumes of 92-1483&#xa0;m 3 depending on the model configuration and return period. Flow velocities remained below 1.0&#xa0;m/s, indicating low erosive potential but possible material degradation. Limestone deterioration analysis showed 4-10&#xa0;% compressive strength reduction, 3-9&#xa0;% elastic modulus decrease, and mass losses of 0.64-26.08&#xa0;kg after 24-h inundations. The nested approach provided more realistic water volume accumulation over the single-scale model and revealed critical micro-topographic controls on flood behavior. This scalable, built on readily accessible tools (HEC-RAS and UAV), framework supports rapid deployment to heritage sites globally, enabling quantitative risk assessments for adaptation planning and conservation prioritization.","url":"https://doi.org/10.1016/j.scitotenv.2025.180256","authors":["Alexopoulos MJ","Iliopoulou T","Modé P","Istrati D","Spyrakos CC","Soile S","Verykokou S","Ioannidis C","Koutsoyiannis D"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.1016/j.scitotenv.2025.180256","addedAt":"2026-08-31T06:39:56.492Z","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"doi:10.1111/risa.17685","name":"A risk-based unmanned aerial vehicle path planning scheme for complex air-ground environments.","source":"europepmc","abstract":"","url":"https://doi.org/10.1111/risa.17685","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.1111/risa.17685","addedAt":"2026-08-31T06:39:56.492Z","updatedAt":"2026-08-31T06:39:57.704Z"},{"id":"doi:10.22541/au.172889472.24101687/v1","name":"Aggressive Maneuver for Unmanned Aerial Vehicle: A Data Informed Model Free Method","source":"europepmc","abstract":"Unmanned Aerial Vehicles (UAVs) are expected to fully exploit their maneuvering capabilities to conduct aggressive maneuvers to complete tasks such as racing and aerobatics even in harsh environments. However, most of related works often focus on slow movements only suitable for regular tasks in well-structured environments. This motivates us to propose a highly robust control scheme designed specifically for UAV aggressive maneuvers, encoded by rapid and large changes in either position or attitude. The core of our approach is the data informed incremental dynamics and the quaternion facilitated control scheme. The former facilitates the model-free control that eliminates the requirement to model the complex dynamics at high velocities and accelerations accurately; While the latter avoids potential singularities during large angular changes. In particular, we first utilize one-step-backward data to construct incremental dynamics, a model-free representation of the UAV dynamics. Then, the constructed incremental dynamics serves as the basis for the development of both position-priority and attitude-priority control schemes, wherein the novel quaternion based aggressive maneuver tracking controllers are designed with complete theoretical analysis. The aggressive maneuvers such as roulette, barrel roll, multiple-flip and cobra maneuvers are chosen for tri/quad/hexa/octocopter platforms to evaluate the performance of our proposed position-priority and attitude-priority control schemes, during which the linear velocity up to 20 m/s, the angular changes up to 360 ◦ .","url":"https://doi.org/10.22541/au.172889472.24101687/v1","authors":["Cong Li","Xinglong Zhang","Xin Xu","Yong Wang","Xiangke Wang"],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.22541/au.172889472.24101687/v1","addedAt":"2026-08-31T06:39:56.492Z","updatedAt":"2026-08-31T06:39:57.918Z"},{"id":"doi:10.3390/s25030617","name":"Collaborative Integrated Navigation for Unmanned Aerial Vehicle Swarms Under Multiple Uncertainties.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s25030617","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.3390/s25030617","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:40:09.764Z"},{"id":"doi:10.1186/s42492-025-00200-2","name":"Graph neural network-tracker: a graph neural network-based multi-sensor fusion framework for robust unmanned aerial vehicle tracking.","source":"pubmed","abstract":"Unmanned aerial vehicle (UAV) tracking is a critical task in surveillance, security, and autonomous navigation applications. In this study, we propose graph neural network-tracker (GNN-tracker), a novel GNN-based UAV tracking framework that effectively integrates graph-based spatial-temporal modelling, Transformer-based feature extraction, and multi-sensor fusion to enhance tracking robustness and accuracy. Unlike traditional tracking approaches, GNN-tracker dynamically constructs a spatiotemporal graph representation, improving identity consistency and reducing tracking errors under OCC-heavy scenarios. Experimental evaluations on optical, thermal, and fused UAV datasets demonstrate the superiority of GNN-tracker (fused) over state-of-the-art methods. The proposed model achieves multiple object tracking accuracy (MOTA) scores of 91.4% (fused), 89.1% (optical), and 86.3% (thermal), surpassing TransT by 8.9% in MOTA and 7.7% in higher order tracking accuracy (HOTA). The HOTA scores of 82.3% (fused), 80.1% (optical), and 78.7% (thermal) validate its strong object association capabilities, while its frames per second of 58.9 (fused), 56.8 (optical), and 54.3 (thermal) ensures real-time performance. Additionally, ablation studies confirm the essential role of graph-based modelling and multi-sensor fusion, with performance drops of up to 8.9% in MOTA when these components are removed. Thus, GNN-tracker (fused) offers a highly accurate, robust, and efficient UAV tracking solution, effectively addressing real-world challenges across diverse environmental conditions and multiple sensor modalities.","url":"https://doi.org/10.1186/s42492-025-00200-2","authors":["Dabbabi K","Delleji T"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.1186/s42492-025-00200-2","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:40:02.533Z"},{"id":"doi:10.22541/au.174287754.48283973/v1","name":"A Low Side Lobe Anti Unmanned Aerial Vehicle Radar Beamforming Method Based on Hybrid Basic Beams Superposition","source":"europepmc","abstract":"Radar beamforming is one of the most important technologies in the radar system, and the anti unmanned aerial vehicle (anti-UAV) radar beamforming is usually difficult because of its complex beams. In this paper, a beamforming method based on a hybrid basic beams super position for anti-UAV radar and a modulation parameter decoupling method are proposed. Basic beams based on a window function and their improved versions with fast attenuation side lobe, are combined by different weightings on different pointing directions to obtain the anti-UAV radar beam. A basic beams generation method for improving the attenuation side lobe of the original basic beams is proposed by minimizing the total power without any power loss in one specific pointing direction. To obtain the optimal weightings for different direc tions, the average beamforming error is minimized and then solved by a genetic algorithm. The method for decoupling the modulation param eters is also derived mathematically. Three groups of experiments with different types of beams are carried out. The experimental results show that the proposed method with hybrid beams can obtain a better beam forming effect in terms of side lobe level based on the window function under different types of anti-UAV radar beams.","url":"https://doi.org/10.22541/au.174287754.48283973/v1","authors":["Fei Tong","YiHui Zhang","Jingwei Xu","Lin Li","GuiSheng Liao"],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.22541/au.174287754.48283973/v1","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:40:05.995Z"},{"id":"doi:10.1038/s41598-025-93343-4","name":"Research on the condition monitoring method of unmanned aerial vehicle based on improved multivariate state estimation technique.","source":"pubmed","abstract":"The widespread use of unmanned aerial vehicles (UAVs) stimulates the demand for condition monitoring methods. To this end, a wide range of condition monitoring methods have been developed to monitor UAVs' performance. However, since the relatively low accuracy of monitoring and high reliance on human experience for threshold setting, the performance of condition monitoring methods for UAVs is deficient. Therefore, this paper proposes an advanced condition monitoring method for UAVs which is composed of improved multivariate state estimation technique (IMSET) and a novel threshold setting method based on probability distribution. Firstly, the IMSET constructs memory matrix (MM) by dynamic selection with incremental learning to improve the accuracy of estimation. Secondly, the exponentially weighted moving average (EWMA) is employed to mitigate the impact of measurement errors in condition vectors and then the threshold is set by probability distribution to reduce the dependence on human experience. To verify the effectiveness of the proposed method, sufficient experiments based on condition monitoring data generated by DJI F450 are conducted. The experimental results demonstrate that the method proposed in this paper can accurately monitor the condition of UAVs in time.","url":"https://doi.org/10.1038/s41598-025-93343-4","authors":["Zhou H","Zhou J","Li Y","Cai F"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.1038/s41598-025-93343-4","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"doi:10.1111/nph.70197","name":"Estimating canopy leaf angle from leaf to ecosystem scale: a novel deep learning approach using unmanned aerial vehicle imagery.","source":"pubmed","abstract":"Leaf angle distribution (LAD) impacts plant photosynthesis, water use efficiency, and ecosystem primary productivity, which are crucial for understanding surface energy balance and climate change responses. Traditional LAD measurement methods are time-consuming and often limited to individual sites, hindering effective data acquisition at the ecosystem scale and complicating the modeling of canopy LAD variations. We present a deep learning approach that is more affordable, efficient,&#xa0;automated, and less labor-intensive than traditional methods for estimating LAD. The method uses unmanned aerial vehicle images processed with structure-from-motion point cloud algorithms and the Mask Region-based convolutional neural network. &#xa0;Validation at the single-leaf scale using manual measurements across&#xa0;three plant species confirmed high accuracy of the proposed method (Pachira glabra: R 2 &#x2009;=&#x2009;0.87, RMSE&#x2009;=&#x2009;7.61&#xb0;; Ficus elastica: R 2 &#x2009;=&#x2009;0.91, RMSE&#x2009;=&#x2009;6.72&#xb0;; Schefflera macrostachya: R 2 &#x2009;=&#x2009;0.85, RMSE&#x2009;=&#x2009;5.67&#xb0;). Employing this method, we efficiently measured leaf angles for 57 032 leaves within a 30 m &#xd7; 30 m plot, revealing distinct LAD among four representative tree species: Melodinus suaveolens (mean inclination angle 34.79&#xb0;), Daphniphyllum calycinum (31.22&#xb0;), Endospermum chinense (25.40&#xb0;), and Tetracera sarmentosa (30.37&#xb0;). The method can efficiently estimate LAD across scales, providing critical structural information of vegetation canopy for ecosystem modeling, including species-specific leaf strategies and their effects on light interception and photosynthesis in diverse forests.","url":"https://doi.org/10.1111/nph.70197","authors":["Wang Z","Zhu Z","Cao S","Peñuelas J","Zeng D","Li D","Zhao W","Zheng Y","Chen J","Zhao P"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.1111/nph.70197","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"doi:10.1038/s41598-025-97832-4","name":"An innovative decision-making approach for unmanned aerial vehicle software selection using bipolar fuzzy aggregation operators.","source":"pubmed","abstract":"Unmanned aerial vehicle (UAV) technology is functioning as a substitute for numerous remote sensing applications, particularly those requiring high-resolution satellite imaging, which is undergoing a significant transformation. This is especially beneficial in areas with persistent cloud cover, like the North East, as it facilitates the operation of UAVs in those specific areas. The North Eastern Space Applications Centre (NESAC) is seeking data processing and analysis software capable of handling the photographs and videos captured by UAVs and supporting the most recent operating system version. Adoption of technology involves a complicated and unpredictable decision-making process. Bipolar fuzzy sets are useful in decision-making because they provide an elegant representation of uncertainty by permitting both positive and negative membership degrees at the same time. In this study, we define ordered weighted averaging, ordered weighted geometric, dynamic ordered weighted averaging, and dynamic ordered weighted geometric operators within the context of a bipolar fuzzy setting. Additionally, we delineate several essential characteristics of these operators. We demonstrate a systematic approach to resolve MADM issues. Furthermore, we effectively implement these novel methodologies to address the MADM challenge pertaining to the identification of the most auspicious data processing and analysis software intended for UAVs. In the end, we perform a comparative analysis to demonstrate the viability and applicability of the suggested methodologies in contrast to established approaches.","url":"https://doi.org/10.1038/s41598-025-97832-4","authors":["Alolaiyan H","Abbas S","Razaq A","Shuaib U","Xin Q","Baidar AW"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.1038/s41598-025-97832-4","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"doi:10.1016/j.ajem.2024.08.001","name":"Analyzing unmanned aerial vehicle (drone) attacks; a disaster medicine perspective.","source":"europepmc","abstract":"","url":"https://doi.org/10.1016/j.ajem.2024.08.001","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.1016/j.ajem.2024.08.001","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:39:57.918Z"},{"id":"doi:10.3390/s25061924","name":"A Weighted-Transfer Domain-Adaptation Network Applied to Unmanned Aerial Vehicle Fault Diagnosis.","source":"pubmed","abstract":"With the development of UAV technology, the composition of UAVs has become increasingly complex, interconnected, and tightly coupled. Fault features are characterized by weakness, nonlinearity, coupling, and uncertainty. A promising approach is the use of deep learning methods, which can effectively extract useful diagnostic information from weak, coupled, nonlinear data from inputs with background noise. However, due to the diversity of flight environments and missions, the distribution of the obtained sample data varies. The types of fault data and corresponding labels under different conditions are unknown, and it is time-consuming and expensive to label sample data. These challenges reduce the performance of traditional deep learning models in anomaly detection. To overcome these challenges, a novel weighted-transfer domain-adaptation network (WTDAN) method is introduced to realize the online anomaly detection and fault diagnosis of UAV electromagnetic-sensitive flight data. The method is based on unsupervised transfer learning, which can transfer the knowledge learnt from existing datasets to solve problems in the target domain. The method contains three novel multiscale modules: a feature extractor, used to extract multidimensional features from the input; a domain discriminator, used to improve the imbalance of the data distribution between the source domain and the target domain; and a label classifier, used to classify data categories for the target domain. Multilayer domain adaptation is used to reduce the distance between the source domain datasets and the target domain datasets distributions. The WTDAN assigns different weights to the source domain samples in order to weight the different contributions of source samples to solve the problem during the training process. The dataset adopts not only open datasets from the website but also test datasets from experiments to evaluate the transferability of the proposed WTDAN model. The experimental results show that, under the condition of fewer anomalous target data samples, the proposed method had a classification accuracy of up to 90%, which is higher than that of the other compared methods, and performed with superior transferability on the cross-domain datasets. The capability of fault diagnosis can provide a novel method for online anomaly detection and the prognostics and health management (PHM) of UAVs, which, in turn, would improve the reliability, repairability, and safety of UAV systems.","url":"https://doi.org/10.3390/s25061924","authors":["Jian Yang","Hairong Chu","Lihong Guo","Xinhong Ge","Yang J","Chu H","Guo L","Ge X"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.3390/s25061924","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"doi:10.1016/j.heliyon.2024.e38569","name":"Evaluation of unmanned aerial vehicle for effective spraying application in coconut plantations.","source":"europepmc","abstract":"","url":"https://doi.org/10.1016/j.heliyon.2024.e38569","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.1016/j.heliyon.2024.e38569","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:39:57.704Z"},{"id":"doi:10.1063/5.0227462","name":"Development of an atmospheric boundary layer detection system based on a rotary-wing unmanned aerial vehicle.","source":"europepmc","abstract":"","url":"https://doi.org/10.1063/5.0227462","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.1063/5.0227462","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:40:00.189Z"},{"id":"doi:10.1021/acs.langmuir.4c05121","name":"Strategy for the Selection of Tank-Mix Adjuvants to Improve the Wettability of Unmanned Aerial Vehicle-Sprayed Liquids on Citrus Leaf Surfaces.","source":"pubmed","abstract":"The past decade has witnessed a growth spurt in aerial pesticide application by plant protection unmanned aerial vehicles (UAVs). However, compared to the traditional ground application, their operation characteristics of low capacity and high concentration put forward rather higher requirements for the wettability of pesticide solutions on the target crop surface, which was a critical link to the pesticide efficiency. Tank mix of adjuvants is a common measure to modify the spray liquid wettability during foliar pesticide application. Yet, given the wide variety of spray adjuvants available, how to select suitable ones based on crop leaf surface characteristics during pesticide application of plant-protection UAVs still lacks attention, especially for tree crops like citrus. Herein, the surface free energy of citrus leaf, the surface tension of tested liquids, and their contact angles on citrus leaf were determined, and the quantitative relationship between the contact angle and the surface tension and its components, as well as the citrus leaf surface free energy and its components, was analyzed. The surface free energy of the adaxial and abaxial surface of citrus leaf was as low as 30.31 mJ m -2 and 27.50 mJ m -2 , respectively, showing that citrus leaves are relatively difficult to wet. However, addition with 1% ( v / v ) of the three tested spray adjuvants to the liquid significantly reduced the surface tension, especially the polar component, thereby substantially decreasing its contact angles on the citrus leaf surface. There was a significant positive correlation between the droplet contact angle on citrus leaf surfaces and liquid surface tension and its polar component, with total surface tension as the main variable and the polar component as the covariant. Our findings proposed a strategy for screening tank-mix adjuvants to improve spray liquid wettability on tree crop leaves during pesticide application by plant-protection UAVs.","url":"https://doi.org/10.1021/acs.langmuir.4c05121","authors":["Liu D","Pan B","Wang B","Lin Y","Jiang L"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.1021/acs.langmuir.4c05121","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"doi:10.1371/journal.pone.0316836","name":"Research on three-dimensional path planning of unmanned aerial vehicle based on improved Whale Optimization Algorithm.","source":"europepmc","abstract":"","url":"https://doi.org/10.1371/journal.pone.0316836","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.1371/journal.pone.0316836","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:39:57.704Z"},{"id":"doi:10.3390/plants14111677","name":"Unmanned Aerial Vehicle (UAV) Imagery for Plant Communities: Optimizing Visible Light Vegetation Index to Extract Multi-Species Coverage.","source":"pubmed","abstract":"Low-cost unmanned aerial vehicle (UAV) visible light remote sensing provides new opportunities for plant community monitoring, but its practical deployment in different ecosystems is still limited by the lack of standardized vegetation index (VI) optimization for multi-species coverage extraction. This study developed a universal method integrating four VIs-Excess Green Index (EXG), Visible Band Difference Vegetation Index (VDVI), Red-Green Ratio Index (RGRI), and Red-Green-Blue Vegetation Index (RGBVI)-to bridge UAV imagery with plant communities. By combining spectral separability analysis with machine learning (SVM), we established dynamic thresholds applicable to crops, trees, and shrubs, achieving cross-species compatibility without multispectral data. The results showed that all VIs achieved robust vegetation/non-vegetation discrimination (Kappa &gt; 0.84), with VDVI being more suitable for distinguishing vegetation from non-vegetation. The overall classification accuracy for different vegetation types exceeded 92.68%, indicating that the accuracy is considerable. Crop coverage extraction showed a minimum segmentation error of 0.63, significantly lower than that of other vegetation types. These advances enable high-resolution vegetation monitoring, supporting biodiversity assessment and ecosystem service quantification. Our research findings track the impact of plant communities on the ecological environment and promote the application of UAVs in ecological restoration and precision agriculture.","url":"https://doi.org/10.3390/plants14111677","authors":["Wang M","Zhang Z","Gao R","Zhang J","Feng W"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.3390/plants14111677","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"doi:10.3390/polym16182600","name":"Investigating Additive Manufacturing Possibilities for an Unmanned Aerial Vehicle with Polymeric Materials.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/polym16182600","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.3390/polym16182600","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:39:57.704Z"},{"id":"doi:10.1016/j.forsciint.2025.112411","name":"Unmanned aerial vehicle (UAV) paired with LiDAR sensor to detect bodies on surface under vegetation cover: Preliminary test.","source":"pubmed","abstract":"The use of unmanned aerial vehicles (UAVs) has become increasingly accessible, enabling their deployment in a diverse range of operational contexts. UAVs have been tested as part of search and rescue missions. Following the successful use of UAVs in the wilderness medicine literature, we questioned their ability to be used in forensic context to search for missing persons or human remains, especially under canopy cover. Subsequently, various sensors were then repurposed from their original applications to address forensic concerns. This preliminary study aimed to evaluate the efficacy of airborne Light Detection and Ranging sensors (LiDAR) in detecting a concealed human body on a surface within a densely vegetated search area. To proceed, two LiDAR sensors were tested with several modalities. A dendrometric method was used to estimate the tree density of the search area, and the Normalized Difference Vegetation Index (NDVI) was used to bring precision in the appreciation of canopy cover density. The results showed that airborne LiDAR sensors can capture body signatures in areas with dense vegetation. The ground point density reached 0.26&#x202f;% in a high-vegetated area. The study highlighted the importance of refining data processing techniques, including point cloud selection and the implementation of true positive/false positive analysis, to improve detection accuracy. Furthermore, the potential integration of complementary sensors such as thermographic and multispectral sensors was discussed, which may enhance the detection of thermal anomalies and chemical markers associated with decomposition.","url":"https://doi.org/10.1016/j.forsciint.2025.112411","authors":["Nègre P","Mahé K","Cornacchini J"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.1016/j.forsciint.2025.112411","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"doi:10.3390/biomimetics10010023","name":"An Improved Human Evolution Optimization Algorithm for Unmanned Aerial Vehicle 3D Trajectory Planning.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/biomimetics10010023","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.3390/biomimetics10010023","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:40:09.764Z"},{"id":"doi:10.21203/rs.3.rs-4309110/v1","name":"·Assessment of Unmanned Aerial Vehicle Cluster Detection and Perception Capability","source":"europepmc","abstract":"Abstract For the evaluation of unmanned aerial vehicle (UAV) cluster detection and perception capability, a model for assessing the UAV cluster detection and perception capability is established based on the reconnaissance mission of the swarm. An evaluation method based on the three-parameter interval number weighted Hamy mean operator, analytic hierarchy process (AHP), and entropy weight method is proposed. Firstly, an evaluation matrix is established at multiple moments. Secondly, the evaluation matrices of multiple moments are aggregated through the inverse form of the Poisson distribution. Then, the weights of the indicators are calculated using the combination weighting method. Finally, the three-parameter interval number weighted Hamy mean operator is used to aggregate the evaluation indicator information. Simulation results show that the proposed evaluation method can effectively handle the uncertainty of information and is suitable for complex combat environments, providing quantitative references for decision-making related to UAV swarm operations.","url":"https://doi.org/10.21203/rs.3.rs-4309110/v1","authors":["Beibei ZHAO","Yu Chen","Xiaogang Qi","Lifang LIU"],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.21203/rs.3.rs-4309110/v1","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:40:09.764Z"},{"id":"doi:10.3390/s24227328","name":"Deep Reinforcement Learning-Driven Jamming-Enhanced Secure Unmanned Aerial Vehicle Communications.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s24227328","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.3390/s24227328","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:39:57.704Z"},{"id":"doi:10.1038/s41598-025-90729-2","name":"Development of a battery free, solar powered, and energy aware fixed wing unmanned aerial vehicle.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41598-025-90729-2","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.1038/s41598-025-90729-2","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:39:57.704Z"},{"id":"doi:10.3390/biomimetics10020109","name":"Unmanned-Aerial-Vehicle Trajectory Planning for Reliable Edge Data Collection in Complex Environments.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/biomimetics10020109","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.3390/biomimetics10020109","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:39:57.704Z"},{"id":"doi:10.3390/s25071966","name":"Estimating Tea Plant Physiological Parameters Using Unmanned Aerial Vehicle Imagery and Machine Learning Algorithms.","source":"pubmed","abstract":"Tea ( Camellia sinensis L.) holds agricultural economic value and forestry carbon sequestration potential, with Taiwan's annual tea production exceeding TWD 7 billion. However, climate change-induced stressors threaten tea plant growth, photosynthesis, yield, and quality, necessitating an accurate real-time monitoring system to enhance plantation management and production stability. This study surveys tea plantations at low, mid-, and high elevations in Nantou County, central Taiwan, collecting data from 21 fields using conventional farming methods (CFMs), which emphasize intensive management, and agroecological farming methods (AFMs), which prioritize environmental sustainability. This study integrates leaf area index (LAI), photochemical reflectance index (PRI), and quantum yield of photosystem II (&#x3a6;PSII) data with unmanned aerial vehicles (UAV)-derived visible-light and multispectral imagery to compute color indices (CIs) and multispectral indices (MIs). Using feature ranking methods, an optimized dataset was developed, and the predictive performance of eight regression algorithms was assessed for estimating tea plant physiological parameters. The results indicate that LAI was generally lower in AFMs, suggesting reduced leaf growth density and potential yield differences. However, PRI and &#x3a6;PSII values revealed greater environmental adaptability and potential long-term ecological benefits in AFMs compared to CFMs. Among regression models, MIs provided greater stability for tea plant physiological parameters, whereas feature ranking methods had minimal impact on accuracy. XGBoost outperformed all models in predicting parameters, achieving optimal results for (1) LAI: R 2 = 0.716, RMSE = 1.01, MAE = 0.683, (2) PRI: R 2 = 0.643, RMSE = 0.013, MAE = 0.009, and (3) &#x3a6;PSII: R 2 = 0.920, RMSE = 0.048, MAE = 0.013. Overall, we highlight the effectiveness of integrating gradient boosting models with multispectral data to capture tea plant physiological characteristics. This study develops generalizable predictive models for tea plant physiological parameter estimation and advances non-contact crop physiological monitoring for tea plantation management, providing a scientific foundation for precision agriculture applications.","url":"https://doi.org/10.3390/s25071966","authors":["Zhuang ZH","Tsai HP","Chen CI"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.3390/s25071966","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"doi:10.20944/preprints202507.0840.v1","name":"Accuracy of 3D Ground Radio Station Location by a Single Unmanned Aerial Vehicle (UAV) as a Function of an Increasing Number of Received Signal Strength Indicator (RSSI) Measurements","source":"europepmc","abstract":"","url":"https://doi.org/10.20944/preprints202507.0840.v1","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.20944/preprints202507.0840.v1","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:40:05.995Z"},{"id":"doi:10.1007/s11119-025-10221-9","name":"Planning and optimization of nitrogen fertilization in corn based on multispectral images and leaf nitrogen content using unmanned aerial vehicle (UAV)","source":"europepmc","abstract":"","url":"https://doi.org/10.1007/s11119-025-10221-9","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.1007/s11119-025-10221-9","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:39:57.704Z"},{"id":"doi:10.3389/fpls.2024.1491397","name":"Effect of operational parameters on droplet deposition characteristics using an unmanned aerial vehicle for banana canopy.","source":"europepmc","abstract":"","url":"https://doi.org/10.3389/fpls.2024.1491397","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.3389/fpls.2024.1491397","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:39:57.704Z"},{"id":"doi:10.3389/fpls.2025.1581367","name":"Optimization of spray operation parameters of unmanned aerial vehicle confers adequate levels of control of fall armyworm (&lt;i&gt;Spodoptera frugiperda&lt;/i&gt;).","source":"pubmed","abstract":"The fall armyworm (FAW), Spodoptera frugiperda , is a serious threat to maize production. Unmanned aerial vehicles (UAVs) represent a promising method for controlling FAW outbreaks. Given that FAW larvae primarily feed inside the maize whorl, we hypothesized that the efficacy of insecticide application depends on droplet density and coverage rate on the upper maize canopy.","url":"https://doi.org/10.3389/fpls.2025.1581367","authors":["Liu Y","Liang X","Wu C","An X","Wu M","Zhao Z","Li Z","Chen Q"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.3389/fpls.2025.1581367","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"doi:10.22541/au.172114747.72966232/v1","name":"Experimental Evaluation of an Observer-based Controller for an Unmanned Aerial Vehicle in Reforestation Activities","source":"europepmc","abstract":"Reforestation is pivotal in mitigating climate change, preserving biodiversity, and safeguarding ecosystems. Precision reforestation implies efficiently using materials and human resources to conduct this intensive task. In this sense, using unmanned aerial vehicles (UAVs), also known as drones, improves the accuracy of dispensed seeds while increasing coverage and reducing labor. However, drone-based reforestation still presents technological challenges that need to be addressed. An important challenge is the presence of disturbances during flights due to environmental conditions, primarily unexpected wind, and the unavoidable loss of mass presented by the vehicle caused by the dispensing task. This paper evaluates the use of an observer-based controller to reject the particular disturbances caused by the sowing activity. Through meticulous experimentation and analysis, the study demonstrates the observer’s adeptness in mitigating external disturbances, thereby enhancing the precision and stability of UAV operations. This technological advancement holds promise for diverse practical applications and has implications for environmental conservation efforts, particularly reforestation. The obtained experimental results confirm the viability of the proposed controller and observer framework, highlighting its potential to improve the robustness of environmental monitoring, conservation, and sustainable resource management practices.","url":"https://doi.org/10.22541/au.172114747.72966232/v1","authors":["Gustavo Muñoz","Hernan Abaunza","Camilo Lozoya","Herman Castañeda"],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.22541/au.172114747.72966232/v1","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:39:57.918Z"},{"id":"doi:10.3390/s24217071","name":"Forest Aboveground Biomass Estimation Based on Unmanned Aerial Vehicle-Light Detection and Ranging and Machine Learning.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s24217071","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.3390/s24217071","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:39:57.705Z"},{"id":"doi:10.3390/s24206739","name":"Goji Disease and Pest Monitoring Model Based on Unmanned Aerial Vehicle Hyperspectral Images.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s24206739","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.3390/s24206739","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:39:57.705Z"},{"id":"doi:10.1016/j.xpro.2024.103425","name":"Protocol for establishing a map of mangrove species distribution using multispectral unmanned aerial vehicle data.","source":"europepmc","abstract":"","url":"https://doi.org/10.1016/j.xpro.2024.103425","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.1016/j.xpro.2024.103425","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:39:57.705Z"},{"id":"doi:10.3389/fpls.2025.1568237","name":"Detection of litchi fruit maturity states based on unmanned aerial vehicle remote sensing and improved YOLOv8 model.","source":"pubmed","abstract":"Rapid and accurate detection of the maturity state of litchi fruits is crucial for orchard management and picking period prediction. However, existing studies are largely limited to the binary classification of immature and mature fruits, lacking dynamic evaluation and precise prediction of maturity states. To address these limitations, this study proposed a method for detecting litchi maturity states based on UAV remote sensing and YOLOv8-FPDW. The YOLOv8-FPDW model integrated FasterNet, ParNetAttention, DADet, and Wiou modules, achieving a mean average precision (mAP) of 87.7%. The weight, parameter count, and computational load of the model were reduced by 17.5%, 19.0%, and 9.9%, respectively. The improved model demonstrated robust performance in different application scenarios. The proposed target quantity differential strategy effectively reduced the detection error for semi-mature fruits by 12.58%. The results showed significant stage-based changes in the maturity states of litchi fruits: during the rapid growth phase, the fruit count increased by 18.28%; during the maturity differentiation phase, semi-mature fruits accounted for approximately 53%; and during the peak maturity phase, mature fruits exceeded 50%, with a fruit drop rate of 11.46%. In addition, YOLOv8-FPDW was more competitive than mainstream object detection algorithms. The study predicted the optimal harvest period for litchis, providing scientific support for orchard batch harvesting and fine management.","url":"https://doi.org/10.3389/fpls.2025.1568237","authors":["Liang C","Liu D","Ge W","Huang W","Lan Y","Long Y"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.3389/fpls.2025.1568237","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"doi:10.3389/fpls.2025.1612898","name":"Integrated diagnostics and time series sensitivity assessment for growth monitoring of a medicinal plant (&lt;i&gt;Glycyrrhiza uralensis&lt;/i&gt; Fisch.) based on unmanned aerial vehicle multispectral sensors.","source":"pubmed","abstract":"Water and nitrogen are essential elements prone to deficiency during plant growth. Current water-fertilizer monitoring technologies are unable to meet the demands of large-scale Glycyrrhiza uralensis cultivation. Near-ground remote sensing technology based on unmanned aerial vehicle (UAV) multispectral image is widely used for crop growth monitoring and agricultural management and has proven to be effective for assessing water and nitrogen status. However, integrated models tailored for medicinal plants remain underexplored.","url":"https://doi.org/10.3389/fpls.2025.1612898","authors":["Zhang A","Guan H","Dong Z","Jia X","Xue Y","Han F","Meng L","Yu X","Wang X","Cao Y"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.3389/fpls.2025.1612898","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:40:02.533Z"},{"id":"doi:10.3390/s24196304","name":"Neural Signature and Decoding of Unmanned Aerial Vehicle Operators in Emergency Scenarios Using Electroencephalography.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s24196304","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.3390/s24196304","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:39:57.705Z"},{"id":"doi:10.1038/s41598-025-95981-0","name":"An integrated multi criteria decision making method using dual hesitant fuzzy sets with application for unmanned aerial vehicle selection.","source":"pubmed","abstract":"Unmanned aerial vehicles (UAVs) have gained widespread attention in recent years due to their expanding applications across various industrial sectors. Selecting the most suitable UAV for a given task is a critical decision-making challenge, which is typically modeled as a multi-criteria decision-making (MCDM) problem. However, expert assessments in such selection processes often involve considerable uncertainty and hesitation. To address this, this paper proposes a novel integrated MCDM framework that combines dual hesitant fuzzy sets (DHFSs), the best-worst method (BWM), and the MULTIMOORA method to evaluate and rank UAV alternatives. In the proposed method, DHFSs are employed to capture both membership and non-membership degrees of expert assessments under uncertainty, while expert weights are objectively determined based on the entropy of their assessments. Criteria weights are then calculated using an extended dual hesitant fuzzy BWM. Subsequently, the MULTIMOORA method is extended into the dual hesitant fuzzy environment, where UAV alternatives are evaluated from three perspectives: the ratio system, the extended reference point approach, and the full multiplicative form, and the evaluation results are aggregated to generate a comprehensive and reliable final ranking. To demonstrate the practicality and effectiveness of the proposed method, a case study on UAV selection for power line inspection is presented. The results show that the proposed approach effectively handles uncertainty, produces stable and consistent rankings, and offers reliable decision support under uncertain and fuzzy conditions. The proposed method provides a flexible and systematic decision-making tool that can assist decision-makers in solving UAV selection problems in complex, real-world scenarios.","url":"https://doi.org/10.1038/s41598-025-95981-0","authors":["Gao F"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.1038/s41598-025-95981-0","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"doi:10.3390/s24248014","name":"Multi-Agent Reinforcement Learning-Based Computation Offloading for Unmanned Aerial Vehicle Post-Disaster Rescue.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s24248014","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.3390/s24248014","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:40:09.764Z"},{"id":"doi:10.1038/s41598-024-60051-4","name":"A new method for unmanned aerial vehicle path planning in complex environments.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41598-024-60051-4","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.1038/s41598-024-60051-4","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:39:57.705Z"},{"id":"doi:10.1016/j.dib.2024.110264","name":"Unmanned aerial vehicle (UAV) images of road vehicles dataset.","source":"europepmc","abstract":"","url":"https://doi.org/10.1016/j.dib.2024.110264","authors":["Nama Ezzaalddin Mustafa","Fattah Alizadeh"],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.1016/j.dib.2024.110264","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:39:57.705Z"},{"id":"doi:10.3390/s25030618","name":"The Inversion of SPAD Value in Pear Tree Leaves by Integrating Unmanned Aerial Vehicle Spectral Information and Textural Features.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s25030618","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.3390/s25030618","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:39:57.705Z"},{"id":"doi:10.22541/au.171258396.64118069/v1","name":"Unmanned Aerial Vehicle-Mounted Edge Server Deployment for Internet of Vehicles","source":"europepmc","abstract":"Edge computing has been proved an efficient approach to provisioning computation offloading service to vehicles on road through Road-Side Units (RSUs). However, the traffic volume on road is highly dynamic, while RSU-based edge servers are static in terms of geographical location and computation capacity. To address this problem, this paper proposes a mobile edge server placement strategy using cruising UAVs along the roads based on the genetic algorithm. We first build a mathematical model to characterize the deployment cost of these UAV-mounted servers and their routes. Next, we design a heuristic UAV-mounted edge server deployment scheme based on K-medoid clustering and genetic algorithms. Experimental results verify that our proposed UAV deployment scheme satisfies the offloading demand of IoV nodes while reducing the total deployment cost by 17.05% to 48.94% compared with existing popular approaches.","url":"https://doi.org/10.22541/au.171258396.64118069/v1","authors":["Zhihai Tang","Aiwen Huang","Le Chang"],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.22541/au.171258396.64118069/v1","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:40:02.531Z"},{"id":"doi:10.1016/j.isatra.2024.06.029","name":"Dynamics modeling and nonlinear attitude controller design for a rocket-type unmanned aerial vehicle.","source":"europepmc","abstract":"","url":"https://doi.org/10.1016/j.isatra.2024.06.029","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.1016/j.isatra.2024.06.029","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:39:57.918Z"},{"id":"doi:10.1038/s41598-024-68197-x","name":"Diagnostics of unmanned aerial vehicle with recurrence based approach of piezo-element voltage signals.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41598-024-68197-x","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.1038/s41598-024-68197-x","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:39:57.705Z"},{"id":"doi:10.3390/plants14111640","name":"A Bottom-Up Multi-Feature Fusion Algorithm for Individual Tree Segmentation in Dense Rubber Tree Plantations Using Unmanned Aerial Vehicle-Light Detecting and Ranging.","source":"pubmed","abstract":"Accurate individual tree segmentation (ITS) in dense rubber plantations is a challenging task due to overlapping canopies, indistinct tree apexes, and intricate branch structures. To address these challenges, we propose a bottom-up, multi-feature fusion method for segmenting rubber trees using UAV-LiDAR point clouds. Our approach first involves performing a trunk extraction based on branch-point density variations and neighborhood directional features, which allows for the precise separation of trunks from overlapping canopies. Next, we introduce a multi-feature fusion strategy that replaces single-threshold constraints, integrating geometric, directional, and density attributes to classify core canopy points, boundary points, and overlapping regions. Disputed points are then iteratively assigned to adjacent trees based on neighborhood growth angle consistency, enhancing the robustness of the segmentation. Experiments conducted in rubber plantations with varying canopy closure (low, medium, and high) show accuracies of 0.97, 0.98, and 0.95. Additionally, the crown width and canopy projection area derived from the segmented individual tree point clouds are highly consistent with ground truth data, with R 2 values exceeding 0.98 and 0.97, respectively. The proposed method provides a reliable foundation for 3D tree modeling and biomass estimation in structurally complex plantations, advancing precision forestry and ecosystem assessment by overcoming the critical limitations of existing ITS approaches in high-closure tropical agroforests.","url":"https://doi.org/10.3390/plants14111640","authors":["Zeng Z","Miao J","Huang X","Chen P","Zhou P","Tan J","Wang X"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.3390/plants14111640","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"doi:10.1186/s13071-025-06706-1","name":"Comparison of unmanned aerial vehicle imaging to ground truth walkthroughs for identifying and classifying trash sites serving as potential Aedes aegypti breeding grounds.","source":"pubmed","abstract":"Trash piles and abandoned tires that are exposed to the elements collect water and create productive breeding grounds for Aedes aegypti mosquitoes, the primary vector for multiple arboviruses. Unmanned aerial vehicle (UAV) imaging provides a novel approach to efficiently and accurately mapping trash, which could facilitate improved prediction of Ae. aegypti habitat and consequent arbovirus transmission. This study evaluates the efficacy of trash identification by UAV imaging analysis compared with the standard practice of walking through a community to count and classify trash piles.","url":"https://doi.org/10.1186/s13071-025-06706-1","authors":["Tarpenning MS","Bramante JT","Coombe KD","Woo KE","Chamberlin AJ","Mutuku PS","De Leo GA","LaBeaud AD","Ndenga BA","Mutuku FM","Rosser JI"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.1186/s13071-025-06706-1","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"doi:10.1101/2024.07.17.603869","name":"Tracking butterfly flight in the field from an unmanned aerial vehicle (UAV): a methodological proof of principle","source":"europepmc","abstract":"Abstract Tracking and understanding the movements of animals in the wild is a fast-growing area of research, known as movement ecology . However, tracking small animals such as flying insects, which cannot easily carry an electronic tag, remains challenging as existing field methods are costly either in terms of equipment or tracking effort (e.g. VHF radio-tracking, scanning harmonic radar). Here we attempted to record the movements of free-flying butterflies from an unmanned aerial vehicle (UAV), maintaining a static position in the sky and recording video vertically downwards. With an appropriate flight height and image filtering algorithm, we recorded 166 flight tracks of Pieris butterflies ( P. brassicae and P. rapae ), with a median tracking length of 40 m (median flight duration 13 s), and a high temporal resolution of 30 positions per second. Average flight direction varied significantly over the course of the flying season, from a northward azimuth in June and early July, to a southward azimuth in September, congruent with a trans-generational migratory behaviour that has previously been documented by field observations or experiments in flight cages. In addition, UAV imagery unlocks the possibility to measure high-resolution flight movement patterns (e.g. path tortuosity and transverse oscillations), which will possibly help understand perceptual and locomotor mechanisms underlying spatial behaviour. We explore the technical details associated with UAV tracking methodology, and discuss its limitations, in particular the biases associated with a 2D projection of 3D flight movements, the limited spatial scale, and the difficulty to distinguish between visually similar species, such as P. brassicae and P. rapae .","url":"https://doi.org/10.1101/2024.07.17.603869","authors":["Emmanuel de Margerie","Kyra Monmasson"],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.1101/2024.07.17.603869","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:39:57.918Z"},{"id":"doi:10.1038/s41598-024-65383-9","name":"Application of improved grey wolf model in collaborative trajectory optimization of unmanned aerial vehicle swarm.","source":"pubmed","abstract":"","url":"https://doi.org/10.1038/s41598-024-65383-9","authors":["Chen J","Chen Y","Nie R","Liu L","Liu J","Qin Y"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.1038/s41598-024-65383-9","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:40:09.764Z"},{"id":"doi:10.20944/preprints202501.0097.v1","name":"A Three-Dimensional Imaging Method for Unmanned Aerial Vehicle-Borne SAR Based on Nested Difference Co-array and Azimuth Multi-Snapshot","source":"europepmc","abstract":"","url":"https://doi.org/10.20944/preprints202501.0097.v1","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.20944/preprints202501.0097.v1","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:40:05.995Z"},{"id":"doi:10.1007/s11119-022-09982-4","name":"Using a low-cost unmanned aerial vehicle for mapping giant smutgrass in bahiagrass pastures","source":"europepmc","abstract":"","url":"https://doi.org/10.1007/s11119-022-09982-4","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.1007/s11119-022-09982-4","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:39:57.705Z"},{"id":"doi:10.34133/plantphenomics.0265","name":"Phenotyping of Panicle Number and Shape in Rice Breeding Materials Based on Unmanned Aerial Vehicle Imagery.","source":"europepmc","abstract":"","url":"https://doi.org/10.34133/plantphenomics.0265","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.34133/plantphenomics.0265","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:39:57.705Z"},{"id":"doi:10.21203/rs.3.rs-3887344/v1","name":"A new method for unmanned aerial vehicle path planning in complex environments","source":"europepmc","abstract":"Abstract In response to challenges in unmanned aerial vehicle (UAV) path planning, such as low search efficiency, non-smooth paths, and the inability to adapt to unknown environments, this paper proposes a novel UAV path planning method integrating a dual-layer optimization of A* and the dynamic window approach(DWA). Firstly, neighbor node pruning rules are defined to optimize the node expansion process of the A* algorithm. The heuristic function of the A* algorithm is dynamically adjusted based on obstacle coverage, and key path nodes are extracted using the Bresenham algorithm. Secondly, a deviation sub-function is introduced to enhance local path planning coherence, and an adaptive weighting method for the evaluation function is designed. Lastly, the optimized key nodes are utilized as sub-goals for local path planning, integrating the dynamic window approach to enhance real-time obstacle avoidance and adaptability in unknown environments. Simulation results demonstrate that the proposed method significantly improves the efficiency, smoothness, and obstacle avoidance performance of mobile robot path planning, meeting the requirements of complex planning tasks more effectively.","url":"https://doi.org/10.21203/rs.3.rs-3887344/v1","authors":["Yong He","Ticheng Hou","Mingran Wang"],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.21203/rs.3.rs-3887344/v1","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:40:02.906Z"},{"id":"doi:10.3390/biomimetics9070403","name":"Aerodynamic Investigation on a Coaxial-Rotors Unmanned Aerial Vehicle of Bionic Chinese Parasol Seed.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/biomimetics9070403","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.3390/biomimetics9070403","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:39:57.705Z"},{"id":"doi:10.21203/rs.3.rs-4190012/v1","name":"Unmanned Aerial Vehicle-based Autonomous Tracking System for Invasive Flying Insects","source":"europepmc","abstract":"Abstract Declining honeybee populations can severely affect agricultural productivity and biodiversity because honeybees provide a crucial ecological service, that is, pollination. The Asian hornet or yellow-legged hornet, Vespa velutina nigrithorax , is a global predator of honeybees ( Apis mellifera L. ) that has become widespread owing to rapid climate change. Given the ecological effect of this invasive alien species, effective management strategies are needed. Herein, we propose a localization system for tracking radio-tagged hornets and discovering hornet hives by combining unmanned aerial vehicles (UAVs) with a trilateration system. By leveraging the homing instinct of hornets, we systematically structured our experiments into a behavioral experiment, ground-truth experiment, and localization experiment. We installed two antennas around apiary premises and an additional antenna mounted on a UAV to track hornets equipped with sensors. According to the experimental results, we successfully discovered the hives of two of the five hornets tested. The average localization error for the first hive was latitude 0.0006(±0.0002) and longitude 0.0023(±0.0015) in decimal degrees. The average localization error for the second hive was latitude 0.0012(±0.0001) and longitude 0.0004(±0.0011) in decimal degrees. Additionally, we thoroughly analyzed the experimental results to obtain insights into hornet behavior and movement patterns. We explored the practicality and scalability of sensor-based tracking methods utilizing UAVs to ascertain their potential for widespread adoption and future advancement. Our study underscores the importance of using innovative technologies to address the ecological challenges posed by invasive species for facilitating ecosystem conservation and management efforts.","url":"https://doi.org/10.21203/rs.3.rs-4190012/v1","authors":["Hyoung Il Son","Jeonghyeon Pak","Bosung Kim","Chanyoung Ju","Sung Hyun You"],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.21203/rs.3.rs-4190012/v1","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:39:59.807Z"},{"id":"doi:10.3390/s25092729","name":"A Tree Crown Segmentation Approach for Unmanned Aerial Vehicle Remote Sensing Images on Field Programmable Gate Array (FPGA) Neural Network Accelerator.","source":"pubmed","abstract":"Tree crown detection of high-resolution UAV forest remote sensing images using computer technology has been widely performed in the last ten years. In forest resource inventory management based on remote sensing data, crown detection is the most important and essential part. Deep learning technology has achieved good results in tree crown segmentation and species classification, but relying on high-performance computing platforms, edge calculation, and real-time processing cannot be realized. In this thesis, the UAV images of coniferous Pinus tabuliformis and broad-leaved Salix matsudana collected by Jingyue Ecological Forest Farm in Changping District, Beijing, are used as datasets, and a lightweight neural network U-Net-Light based on U-Net and VGG16 is designed and trained. At the same time, the IP core and SoC architecture of the neural network accelerator are designed and implemented on the Xilinx ZYNQ 7100 SoC platform. The results show that U-Net-light only uses 1.56 MB parameters to classify and segment the crown images of double tree species, and the accuracy rate reaches 85%. The designed SoC architecture and accelerator IP core achieved 31 times the speedup of the ZYNQ hard core, and 1.3 times the speedup compared with the high-end CPU (Intel CoreTM i9-10900K). The hardware resource overhead is less than 20% of the total deployment platform, and the total on-chip power consumption is 2.127 W. Shorter prediction time and higher energy consumption ratio prove the effectiveness and rationality of architecture design and IP development. This work departs from conventional canopy segmentation methods that rely heavily on ground-based high-performance computing. Instead, it proposes a lightweight neural network model deployed on FPGA for real-time inference on unmanned aerial vehicles (UAVs), thereby significantly lowering both latency and system resource consumption. The proposed approach demonstrates a certain degree of innovation and provides meaningful references for the automation and intelligent development of forest resource monitoring and precision agriculture.","url":"https://doi.org/10.3390/s25092729","authors":["Ma J","Yan L","Chen B","Zhang L"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.3390/s25092729","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"doi:10.1038/s41598-024-53181-2","name":"Lightweight air-to-air unmanned aerial vehicle target detection model.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41598-024-53181-2","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.1038/s41598-024-53181-2","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:39:57.705Z"},{"id":"doi:10.3390/s24186159","name":"Comparative Study of Lightweight Target Detection Methods for Unmanned Aerial Vehicle-Based Road Distress Survey.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s24186159","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.3390/s24186159","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:39:57.705Z"},{"id":"doi:10.3390/s24248070","name":"Unmanned-Aerial-Vehicle-Assisted Secure Free Space Optical Transmission in Internet of Things: Intelligent Strategy for Optimal Fairness.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s24248070","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.3390/s24248070","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:39:57.705Z"},{"id":"doi:10.3390/s25030822","name":"Generating Seamless Three-Dimensional Maps by Integrating Low-Cost Unmanned Aerial Vehicle Imagery and Mobile Mapping System Data.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s25030822","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.3390/s25030822","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:39:57.705Z"},{"id":"doi:10.3390/s24154974","name":"Dune Morphology Classification and Dataset Construction Method Based on Unmanned Aerial Vehicle Orthoimagery.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s24154974","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.3390/s24154974","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:39:57.705Z"},{"id":"doi:10.1002/ps.8551","name":"Reduction of pesticide dosage and off-target drift with enhanced control efficacy in unmanned aerial vehicle-based application using lecithin adjuvants.","source":"pubmed","abstract":"Unmanned aerial vehicles (UAVs) are increasingly used in precision agriculture, particularly for pesticide application in rice cultivation. One challenge is off-target pesticide drift, which raises environmental concerns and reduces pesticide efficiency. Lecithin adjuvants have been suggested to enhance droplet stability, reduce drift, and improve control efficacy. This study aims to evaluate the efficiency of lecithin adjuvants in reducing pesticide drift and improving deposition during UAV-based pesticide application under various paddy field conditions.","url":"https://doi.org/10.1002/ps.8551","authors":["Baek JW","Eun HR","Kim SH","Lee YH","Jeong MJ","Han X","Min YG","Noh HH","Shin Y"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.1002/ps.8551","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:40:02.907Z"},{"id":"doi:10.3390/s24134080","name":"Unmanned Aerial Vehicle-Assisted Terahertz-Visible Light Communication Systems: An In-Depth Performance Analysis.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s24134080","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.3390/s24134080","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:39:57.705Z"},{"id":"doi:10.3390/s24103255","name":"Research on Assimilation of Unmanned Aerial Vehicle Remote Sensing Data and AquaCrop Model.","source":"pubmed","abstract":"","url":"https://doi.org/10.3390/s24103255","authors":["Li W","Li M","Awais M","Ji L","Li H","Song R","Cheema MJM","Agarwal R"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.3390/s24103255","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:40:09.764Z"},{"id":"doi:10.3390/s24092816","name":"Vision-Based On-Site Construction Waste Localization Using Unmanned Aerial Vehicle.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s24092816","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.3390/s24092816","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:39:57.705Z"},{"id":"doi:10.3390/biomimetics9100647","name":"Path Planning of an Unmanned Aerial Vehicle Based on a Multi-Strategy Improved Pelican Optimization Algorithm.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/biomimetics9100647","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.3390/biomimetics9100647","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:40:09.764Z"},{"id":"doi:10.1371/journal.pone.0320608","name":"Inversion and analysis of leaf area index (LAI) of urban park based on unmanned aerial vehicle (UAV) multispectral remote sensing and random forest (RF).","source":"pubmed","abstract":"Leaf Area Index (LAI) is a critical indicator of vegetation growth and ecological function. Unlike the relatively uniform crop types and planting methods typically found in agricultural fields, parks typically feature a diverse range of plant species, varied configurations, and complex vertical structures, making LAI estimation more complex and challenging. To improve the accuracy of LAI estimation in urban parks, this study, by combining unmanned aerial vehicle (UAV) multispectral remote sensing technology with Random Forest (RF) to conduct the inversion and analysis of LAI in Xinxiang People's Park. High-resolution images are obtained using multispectral sensors carried by a UAV, which are then used to calculate the Normalized Difference Vegetation Index (NDVI). Combined with ground-measured vegetation LAI data, this study applies RF to estimate the park LAI. The results indicate that the average LAI of Xinxiang People's Park is 2.30 (for the entire park). excluding the hard surfaces (which account for 36.05%), the average LAI increases to 3.59, indicating good vegetation conditions. The LAI of the park and its distribution are influenced by factors such as plant species, configuration patterns, planting density, aesthetic design, and site function. Accurate LAI inversion is crucial for effective management and optimization of these green spaces. RF can effectively capture the complex nonlinear relationship between NDVI and LAI, with a coefficient of determination (R&#xb2;) of 0.54 and a root mean square error (RMSE) of 0.91. Although the accuracy is still insufficient, RF's ability to handle nonlinear relationships makes it an effective tool for LAI inversion in complex vegetation environments. LAI inversion of park vegetation based on UAV multispectral imagery can provide valuable insights for the management and optimization of park vegetation.","url":"https://doi.org/10.1371/journal.pone.0320608","authors":["Li Y","Wang B","Zhao X","Zhang Y","Qiao L"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.1371/journal.pone.0320608","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"doi:10.20944/preprints202404.1526.v1","name":"Development of Unmanned Aerial Vehicle Navigation and Warehouse Inventory System Based on Reinforcement Learning","source":"europepmc","abstract":"In this paper we present the exploration of indoor positioning technologies for UAVs, and navigation techniques for path planning and obstacle avoidance. The objective is to perform warehouse inventory tasks using a drone to search for barcodes or markers to identify the objects. For the indoor positioning techniques, we employ Visual-Inertial Odometry (VIO), Ultra-Wideband (UWB), AprilTag fiducial markers, and Simultaneous Localization and Mapping (SLAM). These algorithms encompass global positioning, local positioning, and pre-mapping positioning, comparing the merits and drawbacks of various techniques and trajectories. In UAV navigation, we combine SLAM-based RTAB-Map indoor mapping and navigation path planning of the ROS for indoor environments. This system enables precise drone positioning indoors and utilizes global and local path planners to generate flight paths that avoid dynamic, static, unknown, and known obstacles, demonstrating high practicality and feasibility. To achieve the warehouse inventory inspection, a reinforcement learning approach is proposed to recognize the markers by adjusting the UAV&amp;#039;s viewpoint. We address several main problems in inventory management, including efficiently planning paths while ensuring a certain level of detection rate. Two reinforcement learning techniques, AC (Actor-Critic) and PPO (Proximal Policy Optimization), are implemented based on AprilTag identification. Testing is performed in both simulated and real-world environments, and the effectiveness of the proposed method is validated.Code is available at https://github.com/kellen080/Navigation and https://github.com/kellen080/Indoor\\_Positioning.","url":"https://doi.org/10.20944/preprints202404.1526.v1","authors":["Huei-Yung Lin","Kai-Lun Chang","Hsin-Ying Huang"],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.20944/preprints202404.1526.v1","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:39:57.918Z"},{"id":"doi:10.3389/fpls.2025.1536177","name":"Nondestructive estimation of leaf chlorophyll content in banana based on unmanned aerial vehicle hyperspectral images using image feature combination methods.","source":"pubmed","abstract":"Nondestructive quantification of leaf chlorophyll content (LCC) of banana and its spatial distribution across growth stages from remotely sensed data provide an effective avenue to diagnose nutritional deficiency and guide management practices. Unmanned aerial vehicle (UAV) hyperspectral imagery can document abundant texture features (TFs) and spectral information in a field experiment due to the high spatial and spectral resolutions. However, the benefits of using the fine spatial resolution accessible from UAV data for estimating LCC for banana have not been adequately quantified.","url":"https://doi.org/10.3389/fpls.2025.1536177","authors":["Kong W","Ma L","Ye H","Wang J","Nie C","Chen B","Zhou X","Huang W","Fan Z"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.3389/fpls.2025.1536177","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"doi:10.3390/s24237762","name":"Enhancing Situational Awareness of Helicopter Pilots in Unmanned Aerial Vehicle-Congested Environments Using an Airborne Visual Artificial Intelligence Approach.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s24237762","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.3390/s24237762","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:40:09.764Z"},{"id":"doi:10.1038/s41598-024-81100-y","name":"A global dynamic evolution snow ablation optimizer for unmanned aerial vehicle path planning under space obstacle threat.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41598-024-81100-y","authors":["Chenyu Liu","Dongliang Zhang","Wankai Li"],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.1038/s41598-024-81100-y","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:40:09.764Z"},{"id":"doi:10.3390/s25020524","name":"Web Real-Time Communications-Based Unmanned-Aerial-Vehicle-Borne Internet of Things and Stringent Time Sensitivity: A Case Study.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s25020524","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.3390/s25020524","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:39:57.705Z"},{"id":"doi:10.3390/s24216911","name":"BGF-YOLOv10: Small Object Detection Algorithm from Unmanned Aerial Vehicle Perspective Based on Improved YOLOv10.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s24216911","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.3390/s24216911","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:39:57.705Z"},{"id":"doi:10.3390/biomimetics10010031","name":"Multi-Strategy Improved Red-Tailed Hawk Algorithm for Real-Environment Unmanned Aerial Vehicle Path Planning.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/biomimetics10010031","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.3390/biomimetics10010031","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:40:09.764Z"},{"id":"doi:10.34133/plantphenomics.0276","name":"Estimating Leaf Nitrogen Accumulation Considering Vertical Heterogeneity Using Multiangular Unmanned Aerial Vehicle Remote Sensing in Wheat.","source":"europepmc","abstract":"","url":"https://doi.org/10.34133/plantphenomics.0276","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.34133/plantphenomics.0276","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:39:57.705Z"},{"id":"doi:10.1016/j.ecoenv.2024.117075","name":"Comparison of off-target pesticide drift in paddy fields from unmanned aerial vehicle spraying using cellulose deposition sampler.","source":"europepmc","abstract":"","url":"https://doi.org/10.1016/j.ecoenv.2024.117075","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.1016/j.ecoenv.2024.117075","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:39:57.918Z"},{"id":"doi:10.1038/s41598-024-73901-y","name":"Control of a fixed wing unmanned aerial vehicle using a higher-order sliding mode controller and non-linear PID controller.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41598-024-73901-y","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.1038/s41598-024-73901-y","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:39:57.918Z"},{"id":"doi:10.20944/preprints202502.1307.v1","name":"Applying Artificial Neural Networks and Multivariable Linear Regression from Unmanned Aerial Vehicle Datasets to Estimate Durum and Bread Wheat Yield under Low Nitrogen Application Rates","source":"europepmc","abstract":"","url":"https://doi.org/10.20944/preprints202502.1307.v1","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.20944/preprints202502.1307.v1","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:40:05.995Z"},{"id":"doi:10.20944/preprints202308.1855.v1","name":"Image Processing Systems for Unmanned Aerial Vehicle: State-of-the-art","source":"europepmc","abstract":"","url":"https://doi.org/10.20944/preprints202308.1855.v1","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2023","doi":"10.20944/preprints202308.1855.v1","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:39:57.705Z"},{"id":"doi:10.48550/arxiv.2608.09467","name":"RecoverFly: A Failure-Aware Reinforcement Learning Post-Training Framework for Aerial Vision-Language Navigation","source":"datacite","abstract":"Unmanned aerial vehicle vision-language navigation (UAV-VLN) requires agents to translate visual observations and language instructions into reliable flight actions in complex environments. Although recent end-to-end UAV vision-language-action (UAV-VLA) policies reduce reliance on separately designed perception, planning, and control modules, their behavior-cloning objectives provide limited corrective supervision for interactive closed-loop execution. Reinforcement learning (RL) offers a promising solution, while its effectiveness is constrained by inefficient use of samples, long-tailed scene distributions, and policy distribution shift during optimization. To this end, we propose RecoverFly, a failure-aware RL post-training framework for end-to-end UAV-VLA policies. Specifically, RecoverFly adapts token-level RL for stable optimization of grammar-constrained autoregressive UAV actions, revisits unresolved failure cases to strengthen corrective learning and sample utilization, and combines a two-stage long-tail scene curriculum with reference-policy regularization to improve scene adaptation while preserving acquired capabilities. Experiments on the TravelUAV benchmark demonstrate that RecoverFly achieves the best performance on the seen, unseen-map, and unseen-object splits. Moreover, compared to the AerialVLA initialization, RecoverFly improves success rate by 3.12 to 8.37 percentage points under a total rollout budget of about 30\\% of the training-set size, validating its effectiveness, robustness, and generalization capabilities.","url":"https://doi.org/10.48550/arxiv.2608.09467","authors":["Wang, Boxiong","Kang, Hui","Sun, Geng","Li, Jiahui","Yu, Chao","Tian, Daxin"],"tags":["Computer Vision and Pattern Recognition (cs.CV)","Artificial Intelligence (cs.AI)","FOS: Computer and information sciences"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.48550/arxiv.2608.09467","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:39:56.493Z"},{"id":"doi:10.48550/arxiv.2608.28017","name":"Securing Cooperative Sensing in UAV Swarms Against Conformity-Driven Byzantine Attacks","source":"datacite","abstract":"In integrated sensing and communication (ISAC) enabled 6G unmanned aerial vehicle (UAV) swarm networks, the widely adopted imitation-based conformity cooperation mechanism can be exploited by Byzantine attackers to fabricate false consensus, causing the effective error probability of normal UAVs to evolve dynamically and far exceed their inherent sensing errors, which invalidates conventional fusion methods built on the independence assumption. This paper proposes a conformity-aware Byzantine-resilient fusion framework that couples evolutionary game theory with maximum a posteriori (MAP) estimation. First, the strategy updates of normal UAVs are characterized by bounded-rational opinion dynamics, and the evolution dynamics of the misinformation ratio together with its evolutionarily stable state (ESS) are derived under death birth updating. Three theoretical results are then established: under heterogeneous per-node sensing errors, the zeroth-order ESS depends on the error distribution only through its mean; a closed-form first-order weak-selection correction to the ESS is obtained, together with an exact mean-field fixed point valid for arbitrary selection intensity; and it is revealed that swarm level misinformation can overwhelm the majority if and only if the attack probability exceeds one half, with this threshold independent of both the sensing error and the malicious ratio. Embedding the predicted error dynamics into a per-node MAP rule, the resulting fusion mechanism achieves nearly 100% situation-inference accuracy under different network topologies, attack intensities, network scales, and sensing-error distributions, and maintains accuracy above 99% under +-20% parameter mismatch. In contrast, majority voting, reputation weighting, and independent fusion collapse completely once the majority-flip threshold is crossed.","url":"https://doi.org/10.48550/arxiv.2608.28017","authors":["Ren, Ruixing","Zhao, Junhui","Li, Qiuping","Fang, He","Li, Jiamin","Wang, Dongming"],"tags":["Systems and Control (eess.SY)","FOS: Electrical engineering, electronic engineering, information engineering","C.2.1; C.2.0","94A05, 91A22"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.48550/arxiv.2608.28017","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:40:08.031Z"},{"id":"doi:10.48550/arxiv.2608.27971","name":"GAAT: Geometry-Aware Alignment Transformer for Multimodal UAV Perception","source":"datacite","abstract":"Unmanned aerial vehicle (UAV) multimodal perception integrates visible (RGB), infrared (IR), synthetic aperture radar (SAR), and depth sensors for scene understanding under diverse conditions. However, differences in optics, resolution, and mounting often limit practical systems to global or image-center alignment. After tokenization, parallax, platform motion, and lens distortion can shift corresponding patch centers across modalities, weakening the spatial correspondence assumed by dense contrastive learning and cross-modal fusion. We propose GAAT (Geometry-Aware Alignment Transformer), an alignment-first pretrained model that estimates local correspondence reliability before cross-modal interaction. GAAT introduces syncPATC, which learns patch-center consistency under synchronized view transformations without correspondence annotations. It emits geometric priors, including token and query confidence, query centers, and sub-token offsets, that identify reliable local anchors across residual misalignment. Guided by these priors, MG-Sparse-MMA performs query-mediated sparse fusion over top-K_s reliable regions, replacing dense all-patch interaction with geometry-calibrated local updates. RA-QCGCL aligns pretraining supervision with this sparse query bottleneck through reliable patch-to-patch, patch-to-query, and query-to-query contrastive branches. We introduce UAVMeta and StateBench, which provide four acquisition-state scores derived from platform telemetry and image statistics: camera reliability, observation scale, viewpoint stability, and flight maneuver complexity. Extensive experiments across six downstream tasks demonstrate consistently superior transfer performance, establishing GAAT as a state-of-the-art multimodal foundation model for UAV perception. StateBench further enables a systematic diagnosis of real-world acquisition conditions.","url":"https://doi.org/10.48550/arxiv.2608.27971","authors":["Yang, Jingpu","Tang, Debin","Sun, Yilin","Ji, Fengxian","Zhu, Jiahua","Ding, Wenrui","Wang, Yufeng"],"tags":["Computer Vision and Pattern Recognition (cs.CV)","FOS: Computer and information sciences"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.48550/arxiv.2608.27971","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:39:56.493Z"},{"id":"doi:10.5281/zenodo.17244994","name":"Unmanned Aerial Vehicle (UAV)-Based Precision AS-Built Surveying for Institutional Buildings","source":"datacite","abstract":"This study utilizes UAV-based photogrammetry to perform a high-precision 3D as-built survey of newly constructed laboratory buildings at Bells University of Technology. The approach integrates GPS-enabled UAV data acquisition with advanced photogrammetric processing using Agisoft Metashape Professional, AutoCAD Carlson 2021, and Agisoft Viewer to produce high-resolution orthophotos and accurate 3D spatial models. Comparative analysis between orthophoto-derived measurements and architectural design specifications indicates dimensional deviations predominantly within ±5 mm across most building elements, confirming construction accuracy. However, the roofing components exhibit deviations of 90 mm in length and 100 mm in width, exceeding international tolerance thresholds, thereby indicating non-conformance that may impact structural performance and envelope integrity. Positional accuracy was further validated through geospatial overlay on Google Earth. The findings demonstrate the technical reliability of UAV-based as-built surveys for construction validation, offering a robust tool for quality assurance, regulatory compliance, and facility management in institutional infrastructure development.","url":"https://doi.org/10.5281/zenodo.17244994","authors":["Ogundele, O. S.","Sulaiman, A. D.","Ajadi, T. O.","Ayanwole, R. A.","Godwin, G. O."],"tags":["As-built survey","Unmanned Aerial Vehicle (UAV)","Orthophoto","Architectural Design"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.17244994","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:39:56.493Z"},{"id":"doi:10.5281/zenodo.17244995","name":"Unmanned Aerial Vehicle (UAV)-Based Precision AS-Built Surveying for Institutional Buildings","source":"datacite","abstract":"This study utilizes UAV-based photogrammetry to perform a high-precision 3D as-built survey of newly constructed laboratory buildings at Bells University of Technology. The approach integrates GPS-enabled UAV data acquisition with advanced photogrammetric processing using Agisoft Metashape Professional, AutoCAD Carlson 2021, and Agisoft Viewer to produce high-resolution orthophotos and accurate 3D spatial models. Comparative analysis between orthophoto-derived measurements and architectural design specifications indicates dimensional deviations predominantly within ±5 mm across most building elements, confirming construction accuracy. However, the roofing components exhibit deviations of 90 mm in length and 100 mm in width, exceeding international tolerance thresholds, thereby indicating non-conformance that may impact structural performance and envelope integrity. Positional accuracy was further validated through geospatial overlay on Google Earth. The findings demonstrate the technical reliability of UAV-based as-built surveys for construction validation, offering a robust tool for quality assurance, regulatory compliance, and facility management in institutional infrastructure development.","url":"https://doi.org/10.5281/zenodo.17244995","authors":["Ogundele, O. S.","Sulaiman, A. D.","Ajadi, T. O.","Ayanwole, R. A.","Godwin, G. O."],"tags":["As-built survey","Unmanned Aerial Vehicle (UAV)","Orthophoto","Architectural Design"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.17244995","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:39:56.493Z"},{"id":"doi:10.20383/103.01757","name":"IDENT-MLT Fall 2020 and spring 2021 Orthomosaics","source":"datacite","abstract":"Corresponding author: orane.mordacq@gmail.com. Orthomosaic from fall 2020 and spring 2021 for IDENT Montreal (https://treedivnet.ugent.be/ExpIDENT.html) experiment gathered from UAV (Unmanned Aerial Vehicle). Each file is an orthomosaic in TIF format. The name contains the flight number (starting from 1 for each collecting season), the orthomosaic type (either RGB or NIR/RE) followed by the flight date (DDMMYYYY). The RGB and NIR/RE orthomosaics were created using Agisoft software from aerial images of IDENT-Montréal collected in fall 2020 and spring 2021, using a DJI Phantom 4 Pro drone and Sentera sensor. More details about the methodology can be found in Mordacq et al. (unpublished yet) and in the Supplementary Material S3 within (doi: XXXXX). To facilitate data sharing, we have compressed the files to reduce their size (originally around 500 MB each). We used R for compression, employing the RASTER export options \"COMPRESS=DEFLATE\", \"PREDICTOR=2\", \"ZLEVEL=6\", and subsequently reducing the bit depth from 32 to 24.","url":"https://doi.org/10.20383/103.01757","authors":["MORDACQ, Orane","Paquette, Alain","Lapa, Gauthier","Belluau, Michael"],"tags":["Trees","UAV Computing","Leaf phenology","Spring phenology","Autumn phenology","Experimental Forest","Canada","Phenological monitoring"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2027","doi":"10.20383/103.01757","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:39:56.493Z"},{"id":"doi:10.5281/zenodo.22181714","name":"Paper UAP-I Cross-Flight Shared-Latent-State Validation on Independent Radar and Passive RF Sensing of a Known UAV A Positive-Control Governance Benchmark Before Multi-Sensor UAP Application","source":"datacite","abstract":"This paper tests a shared latent state method on a known physical target before applying the method to unidentified anomalous phenomena. Public AERPAW data provide independent Fortem radar measurements, Keysight passive radio frequency localization estimates, and ground truth unmanned aerial vehicle telemetry. Optimal Flight 2 is used for calibration and protocol development, while Optimal Flights 1 and 3 are used for cross flight validation. The published radar orientation correction is retained rather than adjusted separately for each validation flight. The analysis compares independent radar and radio frequency state models with a single causal state updated by both sensors, with every observation scored before it is used to update the model. On Optimal Flight 1, the shared state improves radio frequency prediction by about sixty five percent while radar prediction worsens by about six percent, producing an overall predictive improvement of about thirty nine percent. On Optimal Flight 3, radio frequency prediction improves by about seventy four percent, radar prediction worsens by about six percent, and the overall predictive improvement is about forty eight percent. Dependence aware time block resampling supports the improvement on both flights. A separate localization test does not show an advantage for fusion because radar alone remains slightly more accurate than the shared state. The results therefore support shared state predictive transfer between independent sensors observing one known object, but do not support improved localization beyond the strongest sensor. The experiment is a positive control validation of the methodology and does not provide evidence for unidentified anomalous phenomena, Holosphere physics, or any nonordinary mechanism.","url":"https://doi.org/10.5281/zenodo.22181714","authors":["Sarnowski, Michael"],"tags":["multi sensor fusion, shared latent state, causal prediction, radar, passive radio frequency sensing, UAV tracking, Kalman filtering, cross flight validation, AERPAW, predictive transfer, sensor calibration, time block bootstrap, known target validation, UAP methodology, reproducibility"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.22181714","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:39:56.493Z"},{"id":"doi:10.5281/zenodo.22181713","name":"Paper UAP-I Cross-Flight Shared-Latent-State Validation on Independent Radar and Passive RF Sensing of a Known UAV A Positive-Control Governance Benchmark Before Multi-Sensor UAP Application","source":"datacite","abstract":"This paper tests a shared latent state method on a known physical target before applying the method to unidentified anomalous phenomena. Public AERPAW data provide independent Fortem radar measurements, Keysight passive radio frequency localization estimates, and ground truth unmanned aerial vehicle telemetry. Optimal Flight 2 is used for calibration and protocol development, while Optimal Flights 1 and 3 are used for cross flight validation. The published radar orientation correction is retained rather than adjusted separately for each validation flight. The analysis compares independent radar and radio frequency state models with a single causal state updated by both sensors, with every observation scored before it is used to update the model. On Optimal Flight 1, the shared state improves radio frequency prediction by about sixty five percent while radar prediction worsens by about six percent, producing an overall predictive improvement of about thirty nine percent. On Optimal Flight 3, radio frequency prediction improves by about seventy four percent, radar prediction worsens by about six percent, and the overall predictive improvement is about forty eight percent. Dependence aware time block resampling supports the improvement on both flights. A separate localization test does not show an advantage for fusion because radar alone remains slightly more accurate than the shared state. The results therefore support shared state predictive transfer between independent sensors observing one known object, but do not support improved localization beyond the strongest sensor. The experiment is a positive control validation of the methodology and does not provide evidence for unidentified anomalous phenomena, Holosphere physics, or any nonordinary mechanism.","url":"https://doi.org/10.5281/zenodo.22181713","authors":["Sarnowski, Michael"],"tags":["multi sensor fusion, shared latent state, causal prediction, radar, passive radio frequency sensing, UAV tracking, Kalman filtering, cross flight validation, AERPAW, predictive transfer, sensor calibration, time block bootstrap, known target validation, UAP methodology, reproducibility"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.22181713","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:39:56.493Z"},{"id":"doi:10.5281/zenodo.19677496","name":"Aircraft Autopilot Navigation System  Using PID Control and Sensor Fusion","source":"datacite","abstract":"This journal discusses the design and implementation of an aircraft autopilot navigation system by combining PID (Proportional-Integral-Derivative) control and sensor fusion techniques. The main objective of this study is to improve flight stability, navigation accuracy, and efficiency in automated aircraft or UAV (drone) systems. The system utilizes multiple sensors such as GPS, IMU (Inertial Measurement Unit), and an altimeter to obtain data on the aircraft’s position, velocity, and orientation. The data from these sensors are then combined using sensor fusion methods (such as the Kalman Filter) to produce a more accurate estimation of the aircraft’s state. For control, a PID controller is used to maintain stability and ensure the aircraft can follow predefined routes (waypoints). In addition, the journal also explores advanced methods such as adaptive PID and fuzzy compensators to enhance system performance, especially in handling disturbances like wind or load changes. The results show that the combination of PID control and sensor fusion produces an autopilot system that is stable, accurate, and has minimal navigation error, while also being more energy-efficient compared to conventional methods.","url":"https://doi.org/10.5281/zenodo.19677496","authors":["Fariz, M. Ilham Al","Putra, Muhammad Rafli Eka","Ramelan, Zaghi Divayo","Yumna, Ghazy Arkan","Haq, M. Zaki Dliyaul"],"tags":["Autopilot Navigation System","AV (Unmanned Aerial Vehicle)","PID Control","Sensor Fusion","State Estimation","Kalman Filter","Flight Control System","Engineering → Aerospace Engineering"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.19677496","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:39:56.493Z"},{"id":"doi:10.5281/zenodo.19677497","name":"Aircraft Autopilot Navigation System  Using PID Control and Sensor Fusion","source":"datacite","abstract":"This journal discusses the design and implementation of an aircraft autopilot navigation system by combining PID (Proportional-Integral-Derivative) control and sensor fusion techniques. The main objective of this study is to improve flight stability, navigation accuracy, and efficiency in automated aircraft or UAV (drone) systems. The system utilizes multiple sensors such as GPS, IMU (Inertial Measurement Unit), and an altimeter to obtain data on the aircraft’s position, velocity, and orientation. The data from these sensors are then combined using sensor fusion methods (such as the Kalman Filter) to produce a more accurate estimation of the aircraft’s state. For control, a PID controller is used to maintain stability and ensure the aircraft can follow predefined routes (waypoints). In addition, the journal also explores advanced methods such as adaptive PID and fuzzy compensators to enhance system performance, especially in handling disturbances like wind or load changes. The results show that the combination of PID control and sensor fusion produces an autopilot system that is stable, accurate, and has minimal navigation error, while also being more energy-efficient compared to conventional methods.","url":"https://doi.org/10.5281/zenodo.19677497","authors":["Fariz, M. Ilham Al","Putra, Muhammad Rafli Eka","Ramelan, Zaghi Divayo","Yumna, Ghazy Arkan","Haq, M. Zaki Dliyaul"],"tags":["Autopilot Navigation System","AV (Unmanned Aerial Vehicle)","PID Control","Sensor Fusion","State Estimation","Kalman Filter","Flight Control System","Engineering → Aerospace Engineering"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.19677497","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:39:56.493Z"},{"id":"doi:10.5281/zenodo.20549839","name":"A Review of Swarm UAV Coordination Algorithms with a MATLAB-Based Simulation Framework for Cooperative Missions","source":"datacite","abstract":"This paper presents a structured review of coordination algorithms for unmanned aerial vehicle (UAV) swarm systems, with emphasis on bio-inspired methods, consensus-based control, optimization strategies, and hybrid approaches. The study analyzes the operational principles, advantages, and limitations of each category, highlighting their applicability to cooperative missions and real-world scenarios. In addition to the literature review, a MATLAB-based simulation framework is developed to illustrate decentralized swarm coordination using fundamental flocking rules. The simulation demonstrates the emergence of stable collective behavior from simple local interactions, providing a conceptual validation of swarm intelligence principles. The results confirm that bio-inspired approaches offer high scalability and robustness, while more advanced methods improve adaptability and control precision. The paper contributes by bridging the gap between theoretical review and computational implementation, offering both an analytical perspective and a practical framework for future research in swarm UAV coordination.","url":"https://doi.org/10.5281/zenodo.20549839","authors":["GAMBA TORRES, JUAN CARLOS"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.20549839","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:40:08.031Z"},{"id":"doi:10.5281/zenodo.20549840","name":"A Review of Swarm UAV Coordination Algorithms with a MATLAB-Based Simulation Framework for Cooperative Missions","source":"datacite","abstract":"This paper presents a structured review of coordination algorithms for unmanned aerial vehicle (UAV) swarm systems, with emphasis on bio-inspired methods, consensus-based control, optimization strategies, and hybrid approaches. The study analyzes the operational principles, advantages, and limitations of each category, highlighting their applicability to cooperative missions and real-world scenarios. In addition to the literature review, a MATLAB-based simulation framework is developed to illustrate decentralized swarm coordination using fundamental flocking rules. The simulation demonstrates the emergence of stable collective behavior from simple local interactions, providing a conceptual validation of swarm intelligence principles. The results confirm that bio-inspired approaches offer high scalability and robustness, while more advanced methods improve adaptability and control precision. The paper contributes by bridging the gap between theoretical review and computational implementation, offering both an analytical perspective and a practical framework for future research in swarm UAV coordination.","url":"https://doi.org/10.5281/zenodo.20549840","authors":["GAMBA TORRES, JUAN CARLOS"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.20549840","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:40:08.031Z"},{"id":"doi:10.5281/zenodo.19610566","name":"Latency-Constrained UAV Operations over SATCOM: A System-Level Analytical Framework","source":"datacite","abstract":"This repository contains the analytical framework, implementation scripts, and supporting data for the research study: \"Latency-Constrained UAV Operations over SATCOM: A System-Level Analytical Framework\" (Barua, 2026). Overview As Unmanned Aerial Vehicle (UAV) operations transition toward routine Beyond Visual Line of Sight (BVLOS) missions, the reliance on satellite communications (SATCOM) introduces critical challenges related to signal latency and stochastic jitter. This work transitions from previous descriptive analyses of SATCOM connectivity to a quantitative, system-level modeling approach designed to ensure operational safety under communication constraints. Key Features • Latency Decomposition Model A deterministic breakdown of total communication latency: T_total = T_uplink + T_satellite + T_downlink + T_processing • Stochastic Jitter Modeling Reaction latency incorporating LEO handover variability: T_reaction = (T_total + J) + T_human • Probability of Safety Breach (P_breach) Risk metric quantifying likelihood of exceeding safety thresholds: P_breach = P(T_reaction > T_crit) • Adaptive Autonomy Control Framework (AACF) A control layer that dynamically adjusts UAV autonomy levels and velocity based on real-time link performance. Research Lineage This 2026 framework serves as a direct analytical extension of the foundational research presented in \"SATCOM, the Future UAV Communication Link\" (Barua, 2022; SSRN 4059066). While the 2022 work established the feasibility of SATCOM as a primary BLOS backbone, this framework provides the mathematical rigor required for regulatory compliance (ICAO/EASA) and automated risk mitigation.","url":"https://doi.org/10.5281/zenodo.19610566","authors":["Barua, Nick"],"tags":["UAV","UAS","SATCOM","Satellite Communications","BVLOS","Latency Modeling","Stochastic Jitter","LEO Constellations"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.19610566","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:39:58.973Z"},{"id":"doi:10.5281/zenodo.19610567","name":"Latency-Constrained UAV Operations over SATCOM: A System-Level Analytical Framework","source":"datacite","abstract":"This repository contains the analytical framework, implementation scripts, and supporting data for the research study: \"Latency-Constrained UAV Operations over SATCOM: A System-Level Analytical Framework\" (Barua, 2026). Overview As Unmanned Aerial Vehicle (UAV) operations transition toward routine Beyond Visual Line of Sight (BVLOS) missions, the reliance on satellite communications (SATCOM) introduces critical challenges related to signal latency and stochastic jitter. This work transitions from previous descriptive analyses of SATCOM connectivity to a quantitative, system-level modeling approach designed to ensure operational safety under communication constraints. Key Features • Latency Decomposition Model A deterministic breakdown of total communication latency: T_total = T_uplink + T_satellite + T_downlink + T_processing • Stochastic Jitter Modeling Reaction latency incorporating LEO handover variability: T_reaction = (T_total + J) + T_human • Probability of Safety Breach (P_breach) Risk metric quantifying likelihood of exceeding safety thresholds: P_breach = P(T_reaction > T_crit) • Adaptive Autonomy Control Framework (AACF) A control layer that dynamically adjusts UAV autonomy levels and velocity based on real-time link performance. Research Lineage This 2026 framework serves as a direct analytical extension of the foundational research presented in \"SATCOM, the Future UAV Communication Link\" (Barua, 2022; SSRN 4059066). While the 2022 work established the feasibility of SATCOM as a primary BLOS backbone, this framework provides the mathematical rigor required for regulatory compliance (ICAO/EASA) and automated risk mitigation.","url":"https://doi.org/10.5281/zenodo.19610567","authors":["Barua, Nick"],"tags":["UAV","UAS","SATCOM","Satellite Communications","BVLOS","Latency Modeling","Stochastic Jitter","LEO Constellations"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.19610567","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:39:58.973Z"},{"id":"doi:10.5281/zenodo.19887818","name":"Improved Nutrient Use Efficiency: A Review of Precision Fertilizer Methods in Corn Production","source":"datacite","abstract":"This paper examines technologies for precision fertilizer application to enhance nitrogen use efficiency in corn. It includes technologies like variable rate technology, unmanned aerial vehicle remote sensing, and sensor technologies, and their ability to increase yields while decreasing fertilizer use. It also addresses barriers to adoption and future research in sustainable farming.","url":"https://doi.org/10.5281/zenodo.19887818","authors":["Aquino, El Gerald","Hortilano, Barbeluz","Roxas, Ryzza Glearose"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.19887818","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:39:56.493Z"},{"id":"doi:10.5281/zenodo.19887819","name":"Improved Nutrient Use Efficiency: A Review of Precision Fertilizer Methods in Corn Production","source":"datacite","abstract":"This paper examines technologies for precision fertilizer application to enhance nitrogen use efficiency in corn. It includes technologies like variable rate technology, unmanned aerial vehicle remote sensing, and sensor technologies, and their ability to increase yields while decreasing fertilizer use. It also addresses barriers to adoption and future research in sustainable farming.","url":"https://doi.org/10.5281/zenodo.19887819","authors":["Aquino, El Gerald","Hortilano, Barbeluz","Roxas, Ryzza Glearose"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.19887819","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:39:56.493Z"},{"id":"doi:10.5281/zenodo.20787573","name":"Effective mission planning for fixed-wing Unmanned Aerial Vehicle","source":"datacite","abstract":"Abstract. Today Unmanned Aerial Vehicles (UAV) are integrated into the different duties of human activity. Multiple advantages of UAV stimulate continuous growing number of practical applications in industry 4.0. Precision level of modern onboard positioning sensors supports accurate trajectory maintaining in a fully automatic mode for most short-length missions. Effective trajectory planning is a key element of mission success. In the paper, we study mission planning stage with a focus on UAV navigation. Flight phase classification is used for lateral UAV navigation and safe altitude is calculated based on a digital elevation model. Trajectory calculation for effective UAV missions includes estimation of true and magnetic heading angles; pitch angle; ground speed; time of flight and safe altitude. Forecasted weather data of wind speed and direction are used for ground speed estimation and effective mission planning. In numerical demonstration, we use specially developed software for effective mission planning of power lines exploration with UAV of airplane type. Keywords. flight planning, UAV, air navigation, trajectory calculation, aerospace This is an archival copy of the original publication in CEUR Workshop Proceedings of the 2nd International Workshop on Computational Methods in Systems Engineering 2025 (CMSE 2025), vol. 3981, 2025, pp. 78-88. Available online at https://ceur-ws.org/Vol-3981/paper07.pdf. Published under the Creative Commons License Attribution 4.0 International (CC BY 4.0).","url":"https://doi.org/10.5281/zenodo.20787573","authors":["Ostroumov, Ivan","Tkachuk, Daria","Kyzymchuk, Olena"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.20787573","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:39:56.493Z"},{"id":"doi:10.5281/zenodo.20787574","name":"Effective mission planning for fixed-wing Unmanned Aerial Vehicle","source":"datacite","abstract":"Abstract. Today Unmanned Aerial Vehicles (UAV) are integrated into the different duties of human activity. Multiple advantages of UAV stimulate continuous growing number of practical applications in industry 4.0. Precision level of modern onboard positioning sensors supports accurate trajectory maintaining in a fully automatic mode for most short-length missions. Effective trajectory planning is a key element of mission success. In the paper, we study mission planning stage with a focus on UAV navigation. Flight phase classification is used for lateral UAV navigation and safe altitude is calculated based on a digital elevation model. Trajectory calculation for effective UAV missions includes estimation of true and magnetic heading angles; pitch angle; ground speed; time of flight and safe altitude. Forecasted weather data of wind speed and direction are used for ground speed estimation and effective mission planning. In numerical demonstration, we use specially developed software for effective mission planning of power lines exploration with UAV of airplane type. Keywords. flight planning, UAV, air navigation, trajectory calculation, aerospace This is an archival copy of the original publication in CEUR Workshop Proceedings of the 2nd International Workshop on Computational Methods in Systems Engineering 2025 (CMSE 2025), vol. 3981, 2025, pp. 78-88. Available online at https://ceur-ws.org/Vol-3981/paper07.pdf. Published under the Creative Commons License Attribution 4.0 International (CC BY 4.0).","url":"https://doi.org/10.5281/zenodo.20787574","authors":["Ostroumov, Ivan","Tkachuk, Daria","Kyzymchuk, Olena"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.20787574","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:39:56.493Z"},{"id":"doi:10.5281/zenodo.14223290","name":"High-Resolution UAV Imagery and Ground Truth Tree Data of Deciduous Forests in Fruška gora National Park, Serbia","source":"datacite","abstract":"Study AreaThe imagery covers a section of the Fruška Gora National Park in Serbia. More than 90% of the area is covered by deciduous forests at elevations above 300 m. The forest primarily comprises mixed stands with the following dominant species: Quercus petraea, Tilia spp., Carpinus betulus and Fagus sylvatica.The park's highest peak is 539 meters above sea level. More than 80% of the forest is of coppice origin, and it is a managed forest. The imagery captures forest stands of varying ages, from very young to old-growth stands. Ground truth data focuses on stands more than 70 years old. Data Collection Overview1. RGB Imagery Equipment: High-resolution RGB images were captured using a Sony UMC-R10C camera mounted on a Quantum Systems Trinity F90+ UAV. Altitude: 134 meters. Ground Sampling Distance (GSD): 4.13 cm/pix. Coordinate System: Processed in EPSG:32634 (WGS 84 / UTM zone 34N). 2. Multispectral (MS) Imagery Equipment: Multispectral data captured with a Dual MicaSense Camera, covering 10 spectral bands spanning visible, red-edge, and near-infrared regions. Altitude: 135 meters. Ground Sampling Distance (GSD): 9.35 cm/pix. Coordinate System: Processed in EPSG:4326 (WGS 84). 3. Ground Truth Tree Data Sampling Methodology: Data was collected along transects representing monodominant or mixed forest stands, focusing on Quercus petraea, Fagus sylvatica, and Tilia spp. Tree Count: Approximately 120 trees were geolocated and measured. Measurement Tools and Procedures: Geographic Coordinates: Recorded with a Garmin eTrex 20 GPS and manually corrected using RGB aerial imagery for improved precision. Tree Crowns: Delineated manually in QGIS 3.38.3 using RGB imagery. Tree Diameter: Measured at breast height (1.3m) using a diameter tape. Tree Height: Measured using a Haglöf EC II-D electronic clinometer. Tree Attributes Recorded: Species latin name. Diameter at breast height (DBH). Tree height (H). Geographic coordinates (center of the tree crown). Elevation. Temporal Coverage Field data collection occurred during autumn 2024.","url":"https://doi.org/10.5281/zenodo.14223290","authors":["Tarčak, Sonja","Ivošević, Bojana","Buđen, Maša","Pendić, Jugoslav"],"tags":["Unmanned aerial vehicle orthomosaic","RGB","MS","Ground Truth tree data"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.5281/zenodo.14223290","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:39:56.493Z"},{"id":"doi:10.5281/zenodo.14223291","name":"High-Resolution UAV Imagery and Ground Truth Tree Data of Deciduous Forests in Fruška gora National Park, Serbia","source":"datacite","abstract":"Study AreaThe imagery covers a section of the Fruška Gora National Park in Serbia. More than 90% of the area is covered by deciduous forests at elevations above 300 m. The forest primarily comprises mixed stands with the following dominant species: Quercus petraea, Tilia spp., Carpinus betulus and Fagus sylvatica.The park's highest peak is 539 meters above sea level. More than 80% of the forest is of coppice origin, and it is a managed forest. The imagery captures forest stands of varying ages, from very young to old-growth stands. Ground truth data focuses on stands more than 70 years old. Data Collection Overview1. RGB Imagery Equipment: High-resolution RGB images were captured using a Sony UMC-R10C camera mounted on a Quantum Systems Trinity F90+ UAV. Altitude: 134 meters. Ground Sampling Distance (GSD): 4.13 cm/pix. Coordinate System: Processed in EPSG:32634 (WGS 84 / UTM zone 34N). 2. Multispectral (MS) Imagery Equipment: Multispectral data captured with a Dual MicaSense Camera, covering 10 spectral bands spanning visible, red-edge, and near-infrared regions. Altitude: 135 meters. Ground Sampling Distance (GSD): 9.35 cm/pix. Coordinate System: Processed in EPSG:4326 (WGS 84). 3. Ground Truth Tree Data Sampling Methodology: Data was collected along transects representing monodominant or mixed forest stands, focusing on Quercus petraea, Fagus sylvatica, and Tilia spp. Tree Count: Approximately 120 trees were geolocated and measured. Measurement Tools and Procedures: Geographic Coordinates: Recorded with a Garmin eTrex 20 GPS and manually corrected using RGB aerial imagery for improved precision. Tree Crowns: Delineated manually in QGIS 3.38.3 using RGB imagery. Tree Diameter: Measured at breast height (1.3m) using a diameter tape. Tree Height: Measured using a Haglöf EC II-D electronic clinometer. Tree Attributes Recorded: Species latin name. Diameter at breast height (DBH). Tree height (H). Geographic coordinates (center of the tree crown). Elevation. Temporal Coverage Field data collection occurred during autumn 2024.","url":"https://doi.org/10.5281/zenodo.14223291","authors":["Tarčak, Sonja","Ivošević, Bojana","Buđen, Maša","Pendić, Jugoslav"],"tags":["Unmanned aerial vehicle orthomosaic","RGB","MS","Ground Truth tree data"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.5281/zenodo.14223291","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:39:56.493Z"},{"id":"doi:10.5281/zenodo.20787003","name":"Assessment of ergodesign level of Unmanned Aerial System","source":"datacite","abstract":"Abstract. Unmanned aerial systems (UAS) are widely integrated into different sides of human activity. The effective application of UAS to complete particular tasks depends on multiple factors. The success of the UAS mission highly depends on the performance of human-to-UAS interaction. Effective UAS should meet the requirements of ergonomic design of each UAS component including ground control station, unmanned aerial vehicle, and launch-landing devices. In the paper, we develop a system to provide an assessment of the UAS ergodesign level. The proposed system is grounded on ergodesign indicators of UAS elements quality. The total level of ergodesign quality is estimated as a weighted sum of all indicators. A method of expert judgment is used to identify each indicator value. The proposed system is based on centralized software with the main analysis on server side and parameters assessment module in remote terminals. The proposed system architecture supports multiple users and participation in many tasks of UAS assessment simultaneously. Also, all data is coded with a unified user sequence and cannot be recovered.Keywords. ergonomic design, unmanned aerial system, expert judgment method, statistical analysis, software This is an archival copy of the original publication in CEUR Workshop Proceedings of the International Workshop on Data Analytics (WDA 2025), vol. 3912, 2025, pp. 61-70 . Available online at https://ceur-ws.org/Vol-3895/paper05.pdf. Published under the Creative Commons License Attribution 4.0 International (CC BY 4.0).","url":"https://doi.org/10.5281/zenodo.20787003","authors":["Ostroumov, Ivan","Свирко, Владимир","Kuzmenko, Nataliia","Kyzymchuk, Olena","Mykhatskyi, Oleksii"],"tags":["ergonomic design"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.20787003","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:39:59.255Z"},{"id":"doi:10.5281/zenodo.20787004","name":"Assessment of ergodesign level of Unmanned Aerial System","source":"datacite","abstract":"Abstract. Unmanned aerial systems (UAS) are widely integrated into different sides of human activity. The effective application of UAS to complete particular tasks depends on multiple factors. The success of the UAS mission highly depends on the performance of human-to-UAS interaction. Effective UAS should meet the requirements of ergonomic design of each UAS component including ground control station, unmanned aerial vehicle, and launch-landing devices. In the paper, we develop a system to provide an assessment of the UAS ergodesign level. The proposed system is grounded on ergodesign indicators of UAS elements quality. The total level of ergodesign quality is estimated as a weighted sum of all indicators. A method of expert judgment is used to identify each indicator value. The proposed system is based on centralized software with the main analysis on server side and parameters assessment module in remote terminals. The proposed system architecture supports multiple users and participation in many tasks of UAS assessment simultaneously. Also, all data is coded with a unified user sequence and cannot be recovered.Keywords. ergonomic design, unmanned aerial system, expert judgment method, statistical analysis, software This is an archival copy of the original publication in CEUR Workshop Proceedings of the International Workshop on Data Analytics (WDA 2025), vol. 3912, 2025, pp. 61-70 . Available online at https://ceur-ws.org/Vol-3895/paper05.pdf. Published under the Creative Commons License Attribution 4.0 International (CC BY 4.0).","url":"https://doi.org/10.5281/zenodo.20787004","authors":["Ostroumov, Ivan","Свирко, Владимир","Kuzmenko, Nataliia","Kyzymchuk, Olena","Mykhatskyi, Oleksii"],"tags":["ergonomic design"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.20787004","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:39:59.255Z"},{"id":"doi:10.5281/zenodo.22083452","name":"High-Resolution UAV Orthophoto Mosaics of Chamanculo C, Maputo (Mozambique)","source":"datacite","abstract":"Description Dataset Overview This dataset contains high-resolution orthophoto mosaics generated from an Unmanned Aerial Vehicle (UAV) survey conducted in the Chamanculo C neighborhood, located in the Nlhamankulu urban district of Maputo, Mozambique. The flight operations were carried out on August 23, 2026, starting at 06:26 AM (CAT). Study Area: Chamanculo C Chamanculo C is an informal, densely populated peri-urban neighborhood in inner Maputo characterized by high architectural density, narrow unpaved pathways, complex informal infrastructure, and vulnerability to urban flooding. High-resolution spatial data for this area provides crucial baseline information for urban planning, risk mapping, informal settlement upgrading, and infrastructure management (Guy Norman et al. 2020, Marquez Martin et al. 2025, Sara Márquez Martín et al 2024) Acquisition & Camera Parameters Images were captured using a commercial DJI Mini 4 Pro drone. Flight parameters and optical sensor characteristics include: Flight Altitude: ~100 meters Above Ground Level (AGL) Ground Sampling Distance (GSD): ~2.3 cm/pixel (at 100 m AGL in standard 12 MP capture mode) Image Sensor: 1/1.3-inch CMOS sensor Effective Resolution: 12 Megapixels (4000 × 3000) / 48 Megapixels Native Lens / Lens Focal Length: FOV 82.1°, 6.72 mm actual focal length (24 mm full-frame equivalent focal length) Aperture: f/1.7 Data Capture & Flight Plan The survey covered the target area through a meshgrid grid layout divided into 5 flight tiles (arranged in a 10×15 grid structure). A total of 750 aerial photographs (~150 images per tile) were collected with standard longitudinal and lateral overlaps suited for photogrammetric reconstruction. Photogrammetric Processing The raw aerial imagery was processed using OpenDroneMap (OpenDroneMap Authors ODM 2020) , open-source Structure-from-Motion (SfM) photogrammetry processing nodes. The pipeline performed feature matching, sparse/dense point cloud generation, Digital Surface Model (DSM) generation, and orthorectification, resulting in 5 distinct orthophoto GeoTIFF tiles.","url":"https://doi.org/10.5281/zenodo.22083452","authors":["Solana Arteche, Gorka","Marquez Martin, Sara","Orlando Oscar Pedro Mucuho, Orlando","Guirao Bosch, Lucía","Grande Bagazgoitia, Maria","Garrido Manrique, Jesús","Moreno Sanz, Joan","Lizancos-Mora, Placido"],"tags":["UAV photogrammetry","Orthophoto mosaic","High-resolution remote sensing","Informal settlement","Urban flooding risk","Chamanculo C","Maputo"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.22083452","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:39:59.255Z"},{"id":"doi:10.5281/zenodo.22083451","name":"High-Resolution UAV Orthophoto Mosaics of Chamanculo C, Maputo (Mozambique)","source":"datacite","abstract":"Description Dataset Overview This dataset contains high-resolution orthophoto mosaics generated from an Unmanned Aerial Vehicle (UAV) survey conducted in the Chamanculo C neighborhood, located in the Nlhamankulu urban district of Maputo, Mozambique. The flight operations were carried out on August 23, 2026, starting at 06:26 AM (CAT). Study Area: Chamanculo C Chamanculo C is an informal, densely populated peri-urban neighborhood in inner Maputo characterized by high architectural density, narrow unpaved pathways, complex informal infrastructure, and vulnerability to urban flooding. High-resolution spatial data for this area provides crucial baseline information for urban planning, risk mapping, informal settlement upgrading, and infrastructure management (Guy Norman et al. 2020, Marquez Martin et al. 2025, Sara Márquez Martín et al 2024) Acquisition & Camera Parameters Images were captured using a commercial DJI Mini 4 Pro drone. Flight parameters and optical sensor characteristics include: Flight Altitude: ~100 meters Above Ground Level (AGL) Ground Sampling Distance (GSD): ~2.3 cm/pixel (at 100 m AGL in standard 12 MP capture mode) Image Sensor: 1/1.3-inch CMOS sensor Effective Resolution: 12 Megapixels (4000 × 3000) / 48 Megapixels Native Lens / Lens Focal Length: FOV 82.1°, 6.72 mm actual focal length (24 mm full-frame equivalent focal length) Aperture: f/1.7 Data Capture & Flight Plan The survey covered the target area through a meshgrid grid layout divided into 5 flight tiles (arranged in a 10×15 grid structure). A total of 750 aerial photographs (~150 images per tile) were collected with standard longitudinal and lateral overlaps suited for photogrammetric reconstruction. Photogrammetric Processing The raw aerial imagery was processed using OpenDroneMap (OpenDroneMap Authors ODM 2020) , open-source Structure-from-Motion (SfM) photogrammetry processing nodes. The pipeline performed feature matching, sparse/dense point cloud generation, Digital Surface Model (DSM) generation, and orthorectification, resulting in 5 distinct orthophoto GeoTIFF tiles.","url":"https://doi.org/10.5281/zenodo.22083451","authors":["Solana Arteche, Gorka","Marquez Martin, Sara","Orlando Oscar Pedro Mucuho, Orlando","Guirao Bosch, Lucía","Grande Bagazgoitia, Maria","Garrido Manrique, Jesús","Moreno Sanz, Joan","Lizancos-Mora, Placido"],"tags":["UAV photogrammetry","Orthophoto mosaic","High-resolution remote sensing","Informal settlement","Urban flooding risk","Chamanculo C","Maputo"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.22083451","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:39:59.255Z"},{"id":"doi:10.26190/unsworks/26600","name":"Apprenticeship Bootstrapping: Inverse Reinforcement Learning in a Multi-Skill UAV-UGV Coordination Task","source":"datacite","abstract":"Apprenticeship learning enables learning from human demonstrations performed on tasks. However, acquiring demonstrations in complex tasks where a human expert is not available can be a challenge. In this paper, we propose a new learning algorithm, called Apprenticeship bootstrapping via Inverse Reinforcement Learning using Deep Q-learning (ABS via IRL-DQN), to learn a complex task through using demonstrations performed on primitive sub-tasks. The algorithm is evaluated on an aerial and ground coordination scenario, where an Unmanned Aerial Vehicle (UAV) is required to maintain three Unmanned Ground Vehicles (UGVs) within a field of view of the UAV's camera (FoV). The results show that performance of our proposed algorithm is comparable to that of a human, and competitive to the original IRL using expert demonstrations performed on the composite task.","url":"https://doi.org/10.26190/unsworks/26600","authors":["Nguyen, HT","Garratt","Bui","Abbass"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2018","doi":"10.26190/unsworks/26600","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:39:56.493Z"},{"id":"doi:10.5281/zenodo.20819097","name":"Real-Time Vision-Based Violence Detection for Unmanned Aerial Vehicle Surveillance","source":"datacite","abstract":"","url":"https://doi.org/10.5281/zenodo.20819097","authors":["Tandon, Sneha","Gu, Dongbing"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.20819097","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:39:56.493Z"},{"id":"doi:10.5281/zenodo.20819098","name":"Real-Time Vision-Based Violence Detection for Unmanned Aerial Vehicle Surveillance","source":"datacite","abstract":"","url":"https://doi.org/10.5281/zenodo.20819098","authors":["Tandon, Sneha","Gu, Dongbing"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.20819098","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:39:56.493Z"},{"id":"doi:10.14288/1.0455618","name":"Management and monitoring of mid-rotation stands with tree-level remote sensing approaches","source":"datacite","abstract":"Canada's forests face escalating losses from insect outbreaks, wildfires, and shifting growing conditions. These disturbances, together with social and land-base constraints on primary forests, are accelerating the transition toward a timber supply based on stands regenerated after harvest. Ensuring these stands develop into productive, resilient forests under climatic uncertainty requires monitoring and silvicultural intervention throughout the mid-rotation. Favouring tree species mixtures can improve growth and resilience to disturbance, while thinning redistributes growth to retained stems and provides immediate timber to mitigate supply shortages. Implementing these approaches requires spatially explicit, tree-level information that conventional aerial photography and plot-based monitoring do not provide. This dissertation examines how tree-level inventories derived from airborne laser scanning can address these needs across two forest tenures: a boreal managed forest in Ontario and coniferous stands managed for commercial thinning in interior British Columbia, Canada, using acquisitions spanning wide-area single-photon lidar to high-density drone laser scanning. Across four chapters, I evaluate vertical structure characterization with single-photon lidar, finding general agreement with a conventional lidar reference. I then combine multitemporal single-photon acquisitions with an unmanned aerial vehicle laser scanning reference to resolve species-specific height growth in regenerating mixtures, revealing differences linked to shade tolerance. Turning to commercial thinning, I link tree-level laser scanning with dendrochronological growth records in British Columbia, where crown volume predicts 70% of the variation in five-year basal area growth, and synthesize a growth competition priority index mapping where competition may strongly suppress growth. Finally, I integrate tree-level observations with a spatially explicit growth model in a framework that assesses commercial thinning and projects treated stands to rotation maturity. Applied across 295 ha of thinned stands, this framework projects on average 49% greater large log volume (greater than 40 cm diameter) by age 80 compared to unthinned simulations. These inventories allow managers to compare development trajectories across species mixtures and between thinned and unthinned stands, evaluating alternative silvicultural choices directly from observations. Together, these chapters show that tree-level airborne laser scanning inventories are a foundational geospatial technology for managing Canada's post-harvest forests toward productivity and resilience under changing climate and disturbance regimes.","url":"https://doi.org/10.14288/1.0455618","authors":["Irwin, Liam"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.14288/1.0455618","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:39:56.493Z"},{"id":"doi:10.26190/unsworks/27254","name":"A review of the relationship between cyber-physical systems, autonomous vehicles and their trustworthiness","source":"datacite","abstract":"© 2018 Academic Conferences and Publishing International Limited. All Rights Reserved. A concentration of development in cyber-physical systems containing advanced sensors, sub-systems and machine-learning algorithms over the past decade is equipping unmanned aerial and road vehicles with autonomous decision-making capabilities. The level of autonomy depends upon the make-up and degree of sensor sophistication and the vehicle’s operational application, which can range from extremely high cost military-based combat vehicles, to commercially available civilian motor vehicles and very low-cost sub $100 hobby drones. As a result, the risk of autonomous vehicles being compromised and used as an improvised threat has become more serious and therefore trust-based methods to mitigate them are needed. This paper reviews the relationship between cyber-physical systems, automated and autonomous vehicles and their trustworthiness. It examines the significant role cyber-physical systems play in building sub-system, system, and system-of-system layers found in contemporary vehicles as well as the level of human involvement in decision control loops, and the trustworthiness challenges this creates across levels of vehicle automation and autonomy. Further, the paper reviews material on methods to authenticate a vehicle’s “world-view” and the veracity of information it may communicate and share with other vehicles and infrastructure. It finds that to be trustworthy, automated and autonomous vehicles will need to implement data verification frameworks and methods. It recommends that future research be conducted into the effectiveness of implementing a pervasive trustworthiness hub where information flowing between heterogeneous autonomous vehicles and infrastructure within their surrounding environment can be authenticated.","url":"https://doi.org/10.26190/unsworks/27254","authors":["Morrison, C","Sitnikova, E","Shoval, S"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2018","doi":"10.26190/unsworks/27254","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:39:56.493Z"},{"id":"doi:10.24407/kxp:1841079561","name":"Monitoring crop seasonal development under biochar treatment with unmanned aerial vehicle (UAV)-based multispectral imagery","source":"datacite","abstract":"43. Wissenschaftlich-Technische Jahrestagung der DGPF, 22.-23. März 2023 in München; 150-162","url":"https://doi.org/10.24407/kxp:1841079561","authors":["Salattna, Saja","Bendig, Juliana","Kuchendorf, Christina","Jedmowski, Christoph","Rascher, Uwe"],"tags":["Fernerkundung","Geoinformationssystem","Fotogrammetrie","Geoinformationssysteme","Earth Science","Methoden und Techniken der Geowissenschaften","Luftaufnahmen, Photogrammetrie"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2023","doi":"10.24407/kxp:1841079561","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:39:56.493Z"},{"id":"doi:10.5281/zenodo.22135676","name":"Application of Crystal Oscillator in Positioning","source":"datacite","abstract":"Application of Crystal Oscillators in Positioning Systems: Precision Timing for Accurate Navigation Application of Crystal Oscillators in Positioning and Navigation Systems In modern positioning technology, accuracy begins with time. Whether a device uses GPS, GNSS, satellite navigation, asset tracking, autonomous driving, drone navigation, or industrial location systems, it depends on precise timing to calculate position. At the center of this timing architecture is a small but critical component: the crystal oscillator. A crystal oscillator for positioning provides the stable frequency reference required to measure time intervals, synchronize signals, and support reliable navigation performance. Without a stable oscillator, a positioning receiver may experience signal errors, poor synchronization, longer acquisition time, or inaccurate location results. As location-based technologies become more advanced, crystal oscillators continue to play a vital role in improving navigation accuracy, signal reliability, and system efficiency. What Is a Crystal Oscillator? A crystal oscillator is an electronic circuit that uses the mechanical resonance of a vibrating crystal, usually quartz, to generate a highly stable electrical signal. Quartz has piezoelectric properties, which means it vibrates at a precise frequency when voltage is applied. This stable vibration becomes the foundation for accurate timing in electronic systems. Crystal oscillators are widely used because they provide: Precise frequency output Excellent timing stability Low power consumption Long-term reliability Compact size Strong performance across many applications In positioning systems, the oscillator acts as the local timing reference. It helps the receiver measure time accurately, process satellite signals, and maintain synchronization with navigation data. Why Precise Timing Matters in Positioning Systems Positioning systems calculate location by measuring time. In satellite-based navigation, such as GPS, GLONASS, Galileo, BeiDou, and other GNSS systems, satellites transmit signals that include timing and orbital information. A receiver on the ground compares the time the signal was transmitted with the time it was received. Because radio signals travel at the speed of light, even a tiny timing error can create a large positioning error. For example, a timing error of just one nanosecond can translate to about 30 centimeters of distance error. Larger timing instability can quickly reduce positioning accuracy. This is why a stable crystal oscillator is essential. It allows the receiver to maintain accurate time measurement and calculate distance from satellites with greater precision. Crystal Oscillator in GPS and GNSS Receivers A GPS receiver must detect weak satellite signals, decode navigation data, and calculate position based on signal timing. The crystal oscillator provides the clock reference that supports these functions. In a typical GNSS receiver, the oscillator helps with: Signal acquisition Carrier tracking Code synchronization Time measurement Frequency reference generation Data demodulation Position calculation When the oscillator maintains a stable frequency, the receiver can lock onto satellite signals faster and track them more reliably. If the oscillator drifts too much, the receiver may struggle to maintain signal lock, especially in weak-signal environments such as urban canyons, forests, tunnels, or indoor-adjacent locations. Precision Timekeeping for Navigation Accuracy One of the most important roles of a crystal oscillator in positioning is precision timekeeping. Satellite navigation depends on accurate measurement of signal travel time. Each satellite broadcasts a time-stamped signal. The receiver calculates how long the signal took to arrive, then converts that time into distance. This distance is called a pseudorange. By collecting pseudorange measurements from multiple satellites, the receiver can calculate its position through trilat","url":"https://doi.org/10.5281/zenodo.22135676","authors":["XtalTQ"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.22135676","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:39:56.493Z"},{"id":"doi:10.5281/zenodo.22135677","name":"Application of Crystal Oscillator in Positioning","source":"datacite","abstract":"Application of Crystal Oscillators in Positioning Systems: Precision Timing for Accurate Navigation Application of Crystal Oscillators in Positioning and Navigation Systems In modern positioning technology, accuracy begins with time. Whether a device uses GPS, GNSS, satellite navigation, asset tracking, autonomous driving, drone navigation, or industrial location systems, it depends on precise timing to calculate position. At the center of this timing architecture is a small but critical component: the crystal oscillator. A crystal oscillator for positioning provides the stable frequency reference required to measure time intervals, synchronize signals, and support reliable navigation performance. Without a stable oscillator, a positioning receiver may experience signal errors, poor synchronization, longer acquisition time, or inaccurate location results. As location-based technologies become more advanced, crystal oscillators continue to play a vital role in improving navigation accuracy, signal reliability, and system efficiency. What Is a Crystal Oscillator? A crystal oscillator is an electronic circuit that uses the mechanical resonance of a vibrating crystal, usually quartz, to generate a highly stable electrical signal. Quartz has piezoelectric properties, which means it vibrates at a precise frequency when voltage is applied. This stable vibration becomes the foundation for accurate timing in electronic systems. Crystal oscillators are widely used because they provide: Precise frequency output Excellent timing stability Low power consumption Long-term reliability Compact size Strong performance across many applications In positioning systems, the oscillator acts as the local timing reference. It helps the receiver measure time accurately, process satellite signals, and maintain synchronization with navigation data. Why Precise Timing Matters in Positioning Systems Positioning systems calculate location by measuring time. In satellite-based navigation, such as GPS, GLONASS, Galileo, BeiDou, and other GNSS systems, satellites transmit signals that include timing and orbital information. A receiver on the ground compares the time the signal was transmitted with the time it was received. Because radio signals travel at the speed of light, even a tiny timing error can create a large positioning error. For example, a timing error of just one nanosecond can translate to about 30 centimeters of distance error. Larger timing instability can quickly reduce positioning accuracy. This is why a stable crystal oscillator is essential. It allows the receiver to maintain accurate time measurement and calculate distance from satellites with greater precision. Crystal Oscillator in GPS and GNSS Receivers A GPS receiver must detect weak satellite signals, decode navigation data, and calculate position based on signal timing. The crystal oscillator provides the clock reference that supports these functions. In a typical GNSS receiver, the oscillator helps with: Signal acquisition Carrier tracking Code synchronization Time measurement Frequency reference generation Data demodulation Position calculation When the oscillator maintains a stable frequency, the receiver can lock onto satellite signals faster and track them more reliably. If the oscillator drifts too much, the receiver may struggle to maintain signal lock, especially in weak-signal environments such as urban canyons, forests, tunnels, or indoor-adjacent locations. Precision Timekeeping for Navigation Accuracy One of the most important roles of a crystal oscillator in positioning is precision timekeeping. Satellite navigation depends on accurate measurement of signal travel time. Each satellite broadcasts a time-stamped signal. The receiver calculates how long the signal took to arrive, then converts that time into distance. This distance is called a pseudorange. By collecting pseudorange measurements from multiple satellites, the receiver can calculate its position through trilat","url":"https://doi.org/10.5281/zenodo.22135677","authors":["XtalTQ"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.22135677","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:39:56.493Z"},{"id":"doi:10.5281/zenodo.21619003","name":"Ague Cove Thermal Infrared Mapping (July 26, 2026 00:29-00:37)","source":"datacite","abstract":"This dataset was obtained using FLIR Vue TZ20R mounted on DJI Matrice 300 UAV in Ague Cove, Guam on July 26, 2026 from 12:29 AM to 12:37 AM (ChST) and includes raw unprocessed (1) thermal infrared images taken at 135 feet above ground level, (2) thermal infrared image taken at 310 feet above ground level, and (3) thermal infrared video recording. Input parameters are as follows: (1) Reflected Temperature: 66F; (2) Atmospheric Temperature: 78F; (3) Isotherm Threshold: 84.2F and (4) Emissivity: 0.98.","url":"https://doi.org/10.5281/zenodo.21619003","authors":["Mendiola, Melanie"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.21619003","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:39:58.973Z"},{"id":"doi:10.5281/zenodo.21619004","name":"Ague Cove Thermal Infrared Mapping (July 26, 2026 00:29-00:37)","source":"datacite","abstract":"This dataset was obtained using FLIR Vue TZ20R mounted on DJI Matrice 300 UAV in Ague Cove, Guam on July 26, 2026 from 12:29 AM to 12:37 AM (ChST) and includes raw unprocessed (1) thermal infrared images taken at 135 feet above ground level, (2) thermal infrared image taken at 310 feet above ground level, and (3) thermal infrared video recording. Input parameters are as follows: (1) Reflected Temperature: 66F; (2) Atmospheric Temperature: 78F; (3) Isotherm Threshold: 84.2F and (4) Emissivity: 0.98.","url":"https://doi.org/10.5281/zenodo.21619004","authors":["Mendiola, Melanie"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.21619004","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:39:58.973Z"},{"id":"doi:10.5281/zenodo.21579547","name":"Autonomous Surveillance Drone","source":"datacite","abstract":"This paper presents the design, development, and testing of a fully autonomous surveillance drone built using a quadcopter frame, Brushless DC (BLDC) motors, Electronic Speed Controllers (ESCs), Raspberry Pi 4, GPS, and a Pixhawk flight controller. The drone achieves autonomous navigation using telemetry communication and DroneKit-MAVProxy, a Python-based software framework, in conjunction with ground control tools like QGroundControl and Mission Planner. The goal is to create a low-cost, user-friendly UAV (Unmanned Aerial Vehicle) capable of performing tasks like area monitoring, GPS-based navigation, and data collection. Reliable testing was conducted to assess flight stability, GPS accuracy, communication range, and mission execution success. The results confirm the drone's reliability in open-field scenarios, with potential for future enhancements such as AI-based object detection, collision avoidance, and multi-drone swarm operation","url":"https://doi.org/10.5281/zenodo.21579547","authors":["Patel, Kaushika","Sojitra, Yash"],"tags":["Drone; QGroundControl; DroneKit-MAVProxy; Pixhawk; Mission Planner; ROS (Robot Operating System); Raspberry Pi 4; Telemetry; Unmanned Aerial Vehicles"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.21579547","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:40:08.031Z"},{"id":"doi:10.5281/zenodo.21579548","name":"Autonomous Surveillance Drone","source":"datacite","abstract":"This paper presents the design, development, and testing of a fully autonomous surveillance drone built using a quadcopter frame, Brushless DC (BLDC) motors, Electronic Speed Controllers (ESCs), Raspberry Pi 4, GPS, and a Pixhawk flight controller. The drone achieves autonomous navigation using telemetry communication and DroneKit-MAVProxy, a Python-based software framework, in conjunction with ground control tools like QGroundControl and Mission Planner. The goal is to create a low-cost, user-friendly UAV (Unmanned Aerial Vehicle) capable of performing tasks like area monitoring, GPS-based navigation, and data collection. Reliable testing was conducted to assess flight stability, GPS accuracy, communication range, and mission execution success. The results confirm the drone's reliability in open-field scenarios, with potential for future enhancements such as AI-based object detection, collision avoidance, and multi-drone swarm operation","url":"https://doi.org/10.5281/zenodo.21579548","authors":["Patel, Kaushika","Sojitra, Yash"],"tags":["Drone; QGroundControl; DroneKit-MAVProxy; Pixhawk; Mission Planner; ROS (Robot Operating System); Raspberry Pi 4; Telemetry; Unmanned Aerial Vehicles"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.21579548","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:40:08.031Z"},{"id":"doi:10.5281/zenodo.21582264","name":"Agricultural Based Drone","source":"datacite","abstract":"The main vison of our project is to built a drone which can do certain things that is very much impossible by standards of a human in the fields such as locomotion and aerodynamics. The demand for delivery personnel has multiplied due to the significant growth in the use of online ordering. In order to fulfil this demand, drone-based technology is being deployed. A hexacopter can fly vertically in a stable manner and be used to deliver goods or collect data in a certain area. We think delivery drones are poised to disrupt the last mile transportation industry given the development of drone technology and rising commercial usage. Drones can drastically shorten delivery times and lower the cost of delivery for both humans and drone manufacturers.. The value chain and opportunities in the market for delivery drones are examined in this paper. It also talks about adoption","url":"https://doi.org/10.5281/zenodo.21582264","authors":["Uddin, Mohd Yaser","Rahman, Mujeeb Ur","Uddin, Mohammed Anas","Mohd, Syed Aijaz Shoaib","Ahmed, Shaik Sohail","Arshiya"],"tags":["Hexa copter","Unmanned Aerial Vehicle","Inertial Measuring Unit"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2022","doi":"10.5281/zenodo.21582264","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:39:56.493Z"},{"id":"doi:10.5281/zenodo.21582265","name":"Agricultural Based Drone","source":"datacite","abstract":"The main vison of our project is to built a drone which can do certain things that is very much impossible by standards of a human in the fields such as locomotion and aerodynamics. The demand for delivery personnel has multiplied due to the significant growth in the use of online ordering. In order to fulfil this demand, drone-based technology is being deployed. A hexacopter can fly vertically in a stable manner and be used to deliver goods or collect data in a certain area. We think delivery drones are poised to disrupt the last mile transportation industry given the development of drone technology and rising commercial usage. Drones can drastically shorten delivery times and lower the cost of delivery for both humans and drone manufacturers.. The value chain and opportunities in the market for delivery drones are examined in this paper. It also talks about adoption","url":"https://doi.org/10.5281/zenodo.21582265","authors":["Uddin, Mohd Yaser","Rahman, Mujeeb Ur","Uddin, Mohammed Anas","Mohd, Syed Aijaz Shoaib","Ahmed, Shaik Sohail","Arshiya"],"tags":["Hexa copter","Unmanned Aerial Vehicle","Inertial Measuring Unit"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2022","doi":"10.5281/zenodo.21582265","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:39:56.493Z"},{"id":"doi:10.5281/zenodo.22132003","name":"Numerical Investigation of Aerodynamic Performance of a Fixed-Wing UAV Wing Using High-Lift NACA Airfoils","source":"datacite","abstract":"Cruise flight is the longest level phase of an aircraft’s journey between climb and descend in which the significance lies in maximizing energy efficiency, achieving optimal speed and endurance while minimizing operational risk by cruising under stable conditions. In this study, the aerodynamic performance of a fixed-wing Unmanned Aerial Vehicle wing was investigated with high-lift NACA airfoils, NACA 2415 and NACA 4415, under representative cruise flight conditions at a low Reynolds number of 105, low velocity of 15ms-1 and the aerodynamic performance of both airfoils was compared and assessed using lift coefficient, drag coefficient, lift-to-drag ratio, pressure coefficient distribution, pressure contours, velocity contours, and streamline visualization using the XFLR5 and ANSYS fluent software. Results of the study indicate that NACA 4415 wing exhibit a higher lift coefficient with an increased aerodynamic drag than the NACA 2415 under the cruise flight conditions. NACA 4415 wing generated a stronger suction peak pressure near the leading edge of the upper surface compared to NACA 2415 wing which is followed by pressure recovery toward the trailing edge, thereby maintaining a relatively higher pressure differential required for lift generation. Velocity contours also indicate higher local velocities over the upper surface of NACA 4415 than over NACA 2415 with a corresponding lower static pressure at the regions of increased velocity and acceleration.","url":"https://doi.org/10.5281/zenodo.22132003","authors":["Ahmad, K. Hussain","Yusuf, Hadi","Ephraim, T.Gofrey","Abubakar, Musa"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.22132003","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:39:56.493Z"},{"id":"doi:10.5281/zenodo.22132004","name":"Numerical Investigation of Aerodynamic Performance of a Fixed-Wing UAV Wing Using High-Lift NACA Airfoils","source":"datacite","abstract":"Cruise flight is the longest level phase of an aircraft’s journey between climb and descend in which the significance lies in maximizing energy efficiency, achieving optimal speed and endurance while minimizing operational risk by cruising under stable conditions. In this study, the aerodynamic performance of a fixed-wing Unmanned Aerial Vehicle wing was investigated with high-lift NACA airfoils, NACA 2415 and NACA 4415, under representative cruise flight conditions at a low Reynolds number of 105, low velocity of 15ms-1 and the aerodynamic performance of both airfoils was compared and assessed using lift coefficient, drag coefficient, lift-to-drag ratio, pressure coefficient distribution, pressure contours, velocity contours, and streamline visualization using the XFLR5 and ANSYS fluent software. Results of the study indicate that NACA 4415 wing exhibit a higher lift coefficient with an increased aerodynamic drag than the NACA 2415 under the cruise flight conditions. NACA 4415 wing generated a stronger suction peak pressure near the leading edge of the upper surface compared to NACA 2415 wing which is followed by pressure recovery toward the trailing edge, thereby maintaining a relatively higher pressure differential required for lift generation. Velocity contours also indicate higher local velocities over the upper surface of NACA 4415 than over NACA 2415 with a corresponding lower static pressure at the regions of increased velocity and acceleration.","url":"https://doi.org/10.5281/zenodo.22132004","authors":["Ahmad, K. Hussain","Yusuf, Hadi","Ephraim, T.Gofrey","Abubakar, Musa"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.22132004","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:39:56.493Z"},{"id":"doi:10.5281/zenodo.20932101","name":"Lightweight UAV Fault-Type Classification Using Composite Distance Metric and Multi-Sensor Voting","source":"datacite","abstract":"Unmanned Aerial Vehicle (UAV) swarms areincreasingly deployed as distributed sensing platformswithin Internet of Things (IoT) ecosystems for applicationssuch as infrastructure inspection, environmental monitor-ing, and logistics. However, the development of scalableand low-latency frameworks for real-time fault detectionremains a major challenge due to the limited computationalcapacity of aerial platforms and the heterogeneous natureof their sensor data. This paper proposes a lightweightvibration-based machine learning framework for UAV pro-peller condition monitoring during flight. A custom nearest-neighbor classifier with composite distance model processesmulti-domain vibration features extracted from dual three-axis accelerometers, achieving fault classification across sixdefect types including blade cracks, chips, bends, brokentips, and complete failures. The system employs a multi-domain feature extraction approach capturing frequency,time, and complexity characteristics, combined with multi-sensor fusion across six axes for robust classification. Exper-imental results demonstrate that the proposed frameworkachieves a classification accuracy of 96.77% with lowinference times, while maintaining low CPU utilization andmemory footprint (< 150 MB). The architecture supportsscalable deployment for large UAV fleets while ensuringreal-time responsiveness.","url":"https://doi.org/10.5281/zenodo.20932101","authors":["Ntib, Antonios","Stefanopoulos, Napoleon","Katrakazas, Panagiotis"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.20932101","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:39:56.493Z"},{"id":"doi:10.5281/zenodo.20932102","name":"Lightweight UAV Fault-Type Classification Using Composite Distance Metric and Multi-Sensor Voting","source":"datacite","abstract":"Unmanned Aerial Vehicle (UAV) swarms areincreasingly deployed as distributed sensing platformswithin Internet of Things (IoT) ecosystems for applicationssuch as infrastructure inspection, environmental monitor-ing, and logistics. However, the development of scalableand low-latency frameworks for real-time fault detectionremains a major challenge due to the limited computationalcapacity of aerial platforms and the heterogeneous natureof their sensor data. This paper proposes a lightweightvibration-based machine learning framework for UAV pro-peller condition monitoring during flight. A custom nearest-neighbor classifier with composite distance model processesmulti-domain vibration features extracted from dual three-axis accelerometers, achieving fault classification across sixdefect types including blade cracks, chips, bends, brokentips, and complete failures. The system employs a multi-domain feature extraction approach capturing frequency,time, and complexity characteristics, combined with multi-sensor fusion across six axes for robust classification. Exper-imental results demonstrate that the proposed frameworkachieves a classification accuracy of 96.77% with lowinference times, while maintaining low CPU utilization andmemory footprint (< 150 MB). The architecture supportsscalable deployment for large UAV fleets while ensuringreal-time responsiveness.","url":"https://doi.org/10.5281/zenodo.20932102","authors":["Ntib, Antonios","Stefanopoulos, Napoleon","Katrakazas, Panagiotis"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.20932102","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:39:56.493Z"},{"id":"doi:10.6084/m9.figshare.32220833.v1","name":"A cross-comparison of full Bayesian Poisson lognormal models for intersection-level traffic conflict analysis","source":"datacite","abstract":"Traffic conflicts are commonly used as surrogate safety measures for intersection safety evaluation. The objective of this study is to conduct a systematic cross-comparison of full Bayesian approaches for traffic conflict modeling. Five full Bayesian models were developed and compared, including Poisson lognormal (PLN) model, random intercept PLN (RI-PLN), random parameters PLN (RP-PLN), spatial PLN (S-PLN), and temporal PLN (T-PLN) models. The extended PLN models aim to account for unobserved heterogeneity and spatial/temporal correlation among traffic conflicts. The five models are estimated using traffic conflict data extracted from unmanned aerial vehicle-based vehicle trajectories collected at 17 urban intersections in Athens, Greece. Model performance is evaluated using the Deviance Information Criterion and posterior diagnostics. Results show that the T-PLN model provides the best goodness-of-fit, indicating the importance of temporal correlation in modeling traffic conflicts. Incorporating temporal correlation yields greater performance than accounting for spatial correlation or random parameters alone. Parameter estimates from the favorite model indicate that taxis, motorcycles, heavy vehicles, and signalized control are significantly associated with traffic conflicts. These findings highlight the importance of explicitly modeling temporal correlation in conflict-based safety analysis and offer practical insights for intersection safety management and signal operation optimization.","url":"https://doi.org/10.6084/m9.figshare.32220833.v1","authors":["Yupeng Liu","Quansheng Yue","Shuai Dai","Yanyong Guo"],"tags":["Medicine","Physiology","Biotechnology","Environmental Sciences not elsewhere classified","Ecology","Sociology","Mathematical Sciences not elsewhere classified","Inorganic Chemistry"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.6084/m9.figshare.32220833.v1","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:39:56.493Z"},{"id":"doi:10.6084/m9.figshare.32220833","name":"A cross-comparison of full Bayesian Poisson lognormal models for intersection-level traffic conflict analysis","source":"datacite","abstract":"Traffic conflicts are commonly used as surrogate safety measures for intersection safety evaluation. The objective of this study is to conduct a systematic cross-comparison of full Bayesian approaches for traffic conflict modeling. Five full Bayesian models were developed and compared, including Poisson lognormal (PLN) model, random intercept PLN (RI-PLN), random parameters PLN (RP-PLN), spatial PLN (S-PLN), and temporal PLN (T-PLN) models. The extended PLN models aim to account for unobserved heterogeneity and spatial/temporal correlation among traffic conflicts. The five models are estimated using traffic conflict data extracted from unmanned aerial vehicle-based vehicle trajectories collected at 17 urban intersections in Athens, Greece. Model performance is evaluated using the Deviance Information Criterion and posterior diagnostics. Results show that the T-PLN model provides the best goodness-of-fit, indicating the importance of temporal correlation in modeling traffic conflicts. Incorporating temporal correlation yields greater performance than accounting for spatial correlation or random parameters alone. Parameter estimates from the favorite model indicate that taxis, motorcycles, heavy vehicles, and signalized control are significantly associated with traffic conflicts. These findings highlight the importance of explicitly modeling temporal correlation in conflict-based safety analysis and offer practical insights for intersection safety management and signal operation optimization.","url":"https://doi.org/10.6084/m9.figshare.32220833","authors":["Yupeng Liu","Quansheng Yue","Shuai Dai","Yanyong Guo"],"tags":["Medicine","Physiology","Biotechnology","Environmental Sciences not elsewhere classified","Ecology","Sociology","Mathematical Sciences not elsewhere classified","Inorganic Chemistry"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.6084/m9.figshare.32220833","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:39:56.493Z"},{"id":"doi:10.5281/zenodo.7057320","name":"Hullerbusch beech forest, Germany, captured by UAV-based multispectral imaging","source":"datacite","abstract":"This data set contains data products of a multispectral UAV survey over the Hullerbusch beach forest, located in southern Mecklenburg–Western Pomerania, Germany. As survey drone, the DJI M300 with RTK antenna was employed and the multispectral image data was captured with a Micasense Altum multispectral camera. Data were processed in Agisoft Metashape 1.7, with the orthomosaic converted to reflectance. Data products: Orthomosaic 5band reflectance 3.1 cm (.tif)Orthomosaic RGB preview 10 cm (.tif)DSM 3.1 cm (.tif)RGB Dense Point Cloud 110 mio pts (.laz)Agisoft Processing report (.pdf)Flight shapefile (.kml) Center coordinates: 53.322907N, 13.441929E Coordinate reference system: WGS84/UTM zone 32N Date of flight: 10.08.2022, clear sky conditions Survey area: 88,503 m2 Agisoft Metashape average camera location error estimates:X: 13.6 cm; Y: 55.9 cm; Z: 7.2 cm; Total error: 58.1 cm","url":"https://doi.org/10.5281/zenodo.7057320","authors":["Jackisch, Robert"],"tags":["UAV","multispectral","Orthomosaic","DSM","Drone","Forest","point cloud","unmanned aerial vehicle"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2022","doi":"10.5281/zenodo.7057320","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:39:56.493Z"},{"id":"doi:10.5281/zenodo.7057321","name":"Hullerbusch beech forest, Germany, captured by UAV-based multispectral imaging","source":"datacite","abstract":"This data set contains data products of a multispectral UAV survey over the Hullerbusch beach forest, located in southern Mecklenburg–Western Pomerania, Germany. As survey drone, the DJI M300 with RTK antenna was employed and the multispectral image data was captured with a Micasense Altum multispectral camera. Data were processed in Agisoft Metashape 1.7, with the orthomosaic converted to reflectance. Data products: Orthomosaic 5band reflectance 3.1 cm (.tif)Orthomosaic RGB preview 10 cm (.tif)DSM 3.1 cm (.tif)RGB Dense Point Cloud 110 mio pts (.laz)Agisoft Processing report (.pdf)Flight shapefile (.kml) Center coordinates: 53.322907N, 13.441929E Coordinate reference system: WGS84/UTM zone 32N Date of flight: 10.08.2022, clear sky conditions Survey area: 88,503 m2 Agisoft Metashape average camera location error estimates:X: 13.6 cm; Y: 55.9 cm; Z: 7.2 cm; Total error: 58.1 cm","url":"https://doi.org/10.5281/zenodo.7057321","authors":["Jackisch, Robert"],"tags":["UAV","multispectral","Orthomosaic","DSM","Drone","Forest","point cloud","unmanned aerial vehicle"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2022","doi":"10.5281/zenodo.7057321","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:39:56.493Z"},{"id":"doi:10.6084/m9.figshare.33349818.v1","name":"Gentoo penguin detection dataset (raw data) for FP-DETR","source":"datacite","abstract":"The Gentoo penguin detection dataset consists of unmanned aerial vehicle (UAV) photographs of Antarctic breeding colonies annotated with axis-aligned bounding boxes for a single category, Gentoo penguin ( Pygoscelis papua ). Images were acquired at a native resolution of 6400×4800 pixels. Annotations are provided in COCO JSON format ( instances_train.json , instances_val.json ). The dataset contains 1,679 training images (37,243 instances) and 486 validation images (10,732 instances), totaling 2,165 images and 47,975 instances. All detection metrics reported in the associated manuscript are evaluated on the validation split only; no held-out test set is included. The dataset is released under the CC BY 4.0 license.","url":"https://doi.org/10.6084/m9.figshare.33349818.v1","authors":["cheng"],"tags":["Health and ecological risk assessment"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.6084/m9.figshare.33349818.v1","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:39:56.493Z"},{"id":"doi:10.6084/m9.figshare.33349818","name":"Gentoo penguin detection dataset (raw data) for FP-DETR","source":"datacite","abstract":"The Gentoo penguin detection dataset consists of unmanned aerial vehicle (UAV) photographs of Antarctic breeding colonies annotated with axis-aligned bounding boxes for a single category, Gentoo penguin ( Pygoscelis papua ). Images were acquired at a native resolution of 6400×4800 pixels. Annotations are provided in COCO JSON format ( instances_train.json , instances_val.json ). The dataset contains 1,679 training images (37,243 instances) and 486 validation images (10,732 instances), totaling 2,165 images and 47,975 instances. All detection metrics reported in the associated manuscript are evaluated on the validation split only; no held-out test set is included. The dataset is released under the CC BY 4.0 license.","url":"https://doi.org/10.6084/m9.figshare.33349818","authors":["cheng"],"tags":["Health and ecological risk assessment"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.6084/m9.figshare.33349818","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:39:56.493Z"},{"id":"doi:10.5281/zenodo.22119911","name":"GeoTwin Road 2030: A UAV-GIS and Digital-Twin Assurance Framework for Highway Earthworks, Pavement Delivery and Asset Handover","source":"datacite","abstract":"Highway delivery produces repeated surveys, earthwork quantities, pavement tests, inspections, change records and asset data, yet these records are often disconnected from chainage and time. This paper proposes GeoTwin Road 2030, a governance-first framework integrating unmanned aerial vehicle photogrammetry, ground survey, geographic information systems, design surfaces, quality records and structured asset metadata. Seven transparent criteria determine a handover-risk score: positional accuracy, coverage, earthwork conformity, surface-level conformity, pavement evidence, asset metadata and change closure. The artifact was computationally stress-tested using 144 reproducible synthetic segment-epochs representing a 12 km corridor divided into 24 half-kilometre segments across six monitoring epochs. No employer, client, flight, survey or live-project data were used. Scores ranged from 6.2 to 75.9, with a mean of 40.0. The framework classified 23 observations for routine acceptance, 70 for targeted verification, 41 for corrective action and 10 for handover hold. Median tier stability was 100% under 1,200 weight perturbations per observation; the least stable boundary case retained its tier in 46.7% of trials. A controlled survey-control, coverage, metadata and closeout improvement scenario lowered risk by 12.3 points on average. Treating missing pavement and asset evidence as satisfactory understated risk by 9.3 points. An illustrative formula reduced a residual-rework proxy by 1.2 units, but this is not observed performance. The contribution is an auditable assurance and handover workflow, not autonomous acceptance. Field calibration, checkpoint testing, independent pavement testing, aviation compliance, information governance and professional authorization remain mandatory.","url":"https://doi.org/10.5281/zenodo.22119911","authors":["Ali, Qaisar Imtiaz"],"tags":["UAV photogrammetry","GIS","digital twin","highway construction","earthworks","pavement","asset handover","Saudi Vision 2030"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.22119911","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:39:56.493Z"},{"id":"doi:10.5281/zenodo.22119912","name":"GeoTwin Road 2030: A UAV-GIS and Digital-Twin Assurance Framework for Highway Earthworks, Pavement Delivery and Asset Handover","source":"datacite","abstract":"Highway delivery produces repeated surveys, earthwork quantities, pavement tests, inspections, change records and asset data, yet these records are often disconnected from chainage and time. This paper proposes GeoTwin Road 2030, a governance-first framework integrating unmanned aerial vehicle photogrammetry, ground survey, geographic information systems, design surfaces, quality records and structured asset metadata. Seven transparent criteria determine a handover-risk score: positional accuracy, coverage, earthwork conformity, surface-level conformity, pavement evidence, asset metadata and change closure. The artifact was computationally stress-tested using 144 reproducible synthetic segment-epochs representing a 12 km corridor divided into 24 half-kilometre segments across six monitoring epochs. No employer, client, flight, survey or live-project data were used. Scores ranged from 6.2 to 75.9, with a mean of 40.0. The framework classified 23 observations for routine acceptance, 70 for targeted verification, 41 for corrective action and 10 for handover hold. Median tier stability was 100% under 1,200 weight perturbations per observation; the least stable boundary case retained its tier in 46.7% of trials. A controlled survey-control, coverage, metadata and closeout improvement scenario lowered risk by 12.3 points on average. Treating missing pavement and asset evidence as satisfactory understated risk by 9.3 points. An illustrative formula reduced a residual-rework proxy by 1.2 units, but this is not observed performance. The contribution is an auditable assurance and handover workflow, not autonomous acceptance. Field calibration, checkpoint testing, independent pavement testing, aviation compliance, information governance and professional authorization remain mandatory.","url":"https://doi.org/10.5281/zenodo.22119912","authors":["Ali, Qaisar Imtiaz"],"tags":["UAV photogrammetry","GIS","digital twin","highway construction","earthworks","pavement","asset handover","Saudi Vision 2030"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.22119912","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:39:56.493Z"},{"id":"doi:10.5281/zenodo.19845300","name":"Hyperspectral Drone Imagery: Bare Soil Fields","source":"datacite","abstract":"This dataset contains georeferenced tiff images derived from drone-based hyperspectral imaging over bare soil agricultural fields. The fields Caritas, L1, L3, M5B, R6, RvK1A_B ans S24 were collected during September and October 2025, using an unmanned aerial vehicle (UAV) equipped with a hyperspectral sensor capturing six specific near-infrared bands: 670nm, 730nm, 800nm, 930nm, 970nm, and 1100nm. The raw sensor data underwent processing using OpenDroneMap software for image stitching, followed by georeferencing correction to ensure spatial accuracy. The resulting tiff files contain digital numbers (DN values) for each spectral band.This dataset may be valuable for agricultural research, soil property analysis, remote sensing development, and related environmental monitoring applications. Pixel-wise predictions of soil organic carbon (OC, % w/w) for eight agricultural fields in the Ghent region, Belgium (EPSG:32631), derived from UAV-acquired hyperspectral imagery corrected to surface reflectance using calibration panels. Three machine learning models were trained on ground-truth OC measurements from 90+ soil sample points using six spectral bands, their first-order derivatives, and normalised band differences as input features: a 1D Convolutional Neural Network (CNN), a Random Forest (RF), and an XGBoost (XGB) regressor. Models were evaluated via 5-fold cross-validation. One predicted OC map (GeoTIFF) per field per model is provided (fields: B2, Caritas, L1, L3, M5B, R6, RvK1AB, S24).","url":"https://doi.org/10.5281/zenodo.19845300","authors":["Berkvens, Nick","Coppens, Tuna","Bauwens, Jan","Chalazas, Theodorus","De Man, Wannes","Van Beek, Jonathan","Callens, Bert","Van Gehuchten, Aaron","Kokka, Alexander"],"tags":["Hyperspectral Imaging","Agriculture","Drones","Precision farrming","Bare soil","Remote sensing","Soil science"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.19845300","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:39:59.255Z"},{"id":"doi:10.5281/zenodo.15297382","name":"Hyperspectral Drone Imagery: Bare Soil Fields","source":"datacite","abstract":"This dataset contains georeferenced tiff images derived from drone-based hyperspectral imaging over bare soil agricultural fields. The fields Caritas, L1, L3, M5B, R6, RvK1A_B ans S24 were collected during September and October 2025, using an unmanned aerial vehicle (UAV) equipped with a hyperspectral sensor capturing six specific near-infrared bands: 670nm, 730nm, 800nm, 930nm, 970nm, and 1100nm. The raw sensor data underwent processing using OpenDroneMap software for image stitching, followed by georeferencing correction to ensure spatial accuracy. The resulting tiff files contain digital numbers (DN values) for each spectral band.This dataset may be valuable for agricultural research, soil property analysis, remote sensing development, and related environmental monitoring applications. Pixel-wise predictions of soil organic carbon (OC, % w/w) for eight agricultural fields in the Ghent region, Belgium (EPSG:32631), derived from UAV-acquired hyperspectral imagery corrected to surface reflectance using calibration panels. Three machine learning models were trained on ground-truth OC measurements from 90+ soil sample points using six spectral bands, their first-order derivatives, and normalised band differences as input features: a 1D Convolutional Neural Network (CNN), a Random Forest (RF), and an XGBoost (XGB) regressor. Models were evaluated via 5-fold cross-validation. One predicted OC map (GeoTIFF) per field per model is provided (fields: B2, Caritas, L1, L3, M5B, R6, RvK1AB, S24). Two additional training strategies were explored to assess whether incorporating spatial neighbourhood context around each soil sample point improves OC prediction accuracy. Approach 1 – Aggregated features: For each sample point, pixel reflectance values within a circular neighbourhood of radius r were aggregated into per-band means and standard deviations, yielding one feature vector per sample point. Spectral indices (first-order derivatives and normalised band differences) were then computed on the mean bands. Random Forest and XGBoost models were trained using standard 5-fold cross-validation. Radii of 0.25 m, 0.5 m, and 1.0 m were evaluated during training. Approach 2 – Pixel augmentation: All pixels falling within a circular neighbourhood of radius r around each sample point were extracted individually, each inheriting the OC label of that plot. This increases the effective training set size proportionally to the neighbourhood area. To prevent data leakage, GroupKFold cross-validation was applied with sample-point identity as the grouping variable, ensuring all pixels from the same plot remain in the same fold. Random Forest, XGBoost, and CNN models were trained under this scheme. Radii of 0.25 m, 0.5 m, and 1.0 m were evaluated during training.","url":"https://doi.org/10.5281/zenodo.15297382","authors":["Berkvens, Nick","Coppens, Tuna","Bauwens, Jan","Chalazas, Theodorus","De Man, Wannes","Van Beek, Jonathan","Callens, Bert","Van Gehuchten, Aaron","Kokka, Alexander","Heikki, Astola"],"tags":["Hyperspectral Imaging","Agriculture","Drones","Precision farrming","Bare soil","Remote sensing","Soil science"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.15297382","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:39:59.255Z"},{"id":"doi:10.5281/zenodo.20612714","name":"Hyperspectral Drone Imagery: Bare Soil Fields","source":"datacite","abstract":"This dataset contains georeferenced tiff images derived from drone-based hyperspectral imaging over bare soil agricultural fields. The fields Caritas, L1, L3, M5B, R6, RvK1A_B ans S24 were collected during September and October 2025, using an unmanned aerial vehicle (UAV) equipped with a hyperspectral sensor capturing six specific near-infrared bands: 670nm, 730nm, 800nm, 930nm, 970nm, and 1100nm. The raw sensor data underwent processing using OpenDroneMap software for image stitching, followed by georeferencing correction to ensure spatial accuracy. The resulting tiff files contain digital numbers (DN values) for each spectral band.This dataset may be valuable for agricultural research, soil property analysis, remote sensing development, and related environmental monitoring applications. Pixel-wise predictions of soil organic carbon (OC, % w/w) for eight agricultural fields in the Ghent region, Belgium (EPSG:32631), derived from UAV-acquired hyperspectral imagery corrected to surface reflectance using calibration panels. Three machine learning models were trained on ground-truth OC measurements from 90+ soil sample points using six spectral bands, their first-order derivatives, and normalised band differences as input features: a 1D Convolutional Neural Network (CNN), a Random Forest (RF), and an XGBoost (XGB) regressor. Models were evaluated via 5-fold cross-validation. One predicted OC map (GeoTIFF) per field per model is provided (fields: B2, Caritas, L1, L3, M5B, R6, RvK1AB, S24).","url":"https://doi.org/10.5281/zenodo.20612714","authors":["Berkvens, Nick","Coppens, Tuna","Bauwens, Jan","Chalazas, Theodorus","De Man, Wannes","Van Beek, Jonathan","Callens, Bert","Van Gehuchten, Aaron","Kokka, Alexander"],"tags":["Hyperspectral Imaging","Agriculture","Drones","Precision farrming","Bare soil","Remote sensing","Soil science"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.20612714","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:39:59.255Z"},{"id":"doi:10.48550/arxiv.2608.26011","name":"Phantom Navigator: Stealthy and Precise Unmanned Aerial Vehicle Redirection with Real-Time Tracking and GPS Spoofing","source":"datacite","abstract":"Redirecting unmanned aerial vehicles (UAVs) from their intended mission trajectories has been an active area of research. However, existing UAV redirection attacks lack reliability, precision, and covertness for a targeted diversion. They primarily rely on physical capture, communication hijacking, or sensor spoofing. Yet, physical interception is costly, offers only a single opportunity for success, and poses a high risk of collateral damage; network-based attacks demand deep technical expertise and access to encrypted communication channels; and sensor spoofing techniques typically fall short in achieving the accuracy and robustness required to steer a UAV toward a specified target. Consequently, we propose Phantom Navigator, a UAV redirection attack to mislead drones to a designated spoofing target, covertly and precisely. Our approach combines offline pre-redirection reachability analysis, which provides high-fidelity estimates of achievable redirect ranges, with an online closed-loop, stealthy execution layer that ensures successful redirection in practice. Based on this approach, we build a physical attack platform equipped with a LiDAR--camera detection, tracking, and spoofing stack that performs real-time identification, pose estimation, and computation of targeted spoofing signals to covertly and accurately redirect victim UAVs to a designated location. We demonstrate the effectiveness of our redirection methodology and the attack implementation in real-world case studies.","url":"https://doi.org/10.48550/arxiv.2608.26011","authors":["Meng, Haocheng","Luo, Shaocheng","Xie, Songqiao","Pajic, Miroslav"],"tags":["Robotics (cs.RO)","Systems and Control (eess.SY)","FOS: Computer and information sciences","FOS: Electrical engineering, electronic engineering, information engineering"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.48550/arxiv.2608.26011","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:39:56.493Z"},{"id":"doi:10.5281/zenodo.20270804","name":"Geometry Optimization of Unmanned Aerial Vehicle (UAV) Hyperspectral Surveys for Water Quality Retrieval and Satellite Upscaling in Mining Impacted Waters (Chalkidiki and Kirki, Greece)","source":"datacite","abstract":"Dataset description: Monitoring water quality is a critical component of environmental management at mining sites worldwide. This dataset accompanies the manuscript, \"Geometry Optimization of Unmanned Aerial Vehicle (UAV) Hyperspectral Surveys for Water Quality Retrieval and Satellite Upscaling in Mining Impacted Waters\" It contains UAV-based visible and near-infrared (VNIR) spectra, associated metadata, and laboratory water chemistry data used in the study. Data collection and equipment: The dataset features Savitzky–Golay filtered reflectance spectra acquired over mining-impacted waters in the Kassandra and Kirki districts of Greece. The spectral data were collected using an Ocean Optics STS-VIS sensor (337–823 nm; 40 × 42 × 24 mm) mounted on a DJI Phantom 3 Advanced platform. Alongside the spectra, metadata is provided, including acquisition geometry (flight direction relative to water flow and solar azimuth) and site identifiers. For every sampling location, the spectral data are paired with corresponding laboratory measurements of water quality parameters, including total suspended solids (TSS), dissolved iron (diss Fe), and various other comprehensive hydrochemical analytes. Project context: Please note that this dataset includes data for only two of the three study areas discussed in the associated manuscript (Chalkidiki and Kirki). These two specific localities were surveyed as part of the MultiMiner project (European Union’s Horizon Europe research and innovations actions programme under Grant Agreement No. 101091374.). Dataset structure and file overview: Dataset_description.docx: A document providing an overview of the dataset and containing the detailed information presented in this text. Localities_of_water_samples_and_spectral_measurement.csv: A master spreadsheet containing geospatial and descriptive metadata for all sampling locations. It includes longitude, latitude, altitude, and a brief description of the water body type (e.g., stream, pool, lake). The dataset is organized into one summary file and two main directories: In_Situ_Spectrum (Folder): This directory contains 12 files comprising the spectral data from both the Kassandra and Kirki areas. The data within these files are organized by: Filter settings: Processed using three different Savitzky-Golay filter configurations. Flight direction: Categorized by the drone's flight path relative to the target (upstream, downstream, diagonal, as well as a combined/aggregated mean dataset). Lab_Analysis (Folder): This directory contains the results of the comprehensive laboratory water chemistry analyses for all sampled geographic points in Chalkidiki and Kirki. Sun_Position (Folder): This folder contains two files providing time-series sun position metrics for the Chalkidiki and Kirki study areas in Greece. Each record pairs UTC timestamps with solar geometry parameters including solar azimuth, and sun elevation computed for the specific site coordinates.","url":"https://doi.org/10.5281/zenodo.20270804","authors":["Kýhos, Martin","Jelenek, Jan","Kopačkova-Strnadová, Veronika","Gazea, Emmy","Zabokas, Giannis","Agali, Athina","Gounaris, Kostas","Galatsianou, Anastasia","Anastasatou, Marianthi","Liwata-Kenttälä, Pauliina","Laakso, Kati","Liakopoulos, Alexandros","Mavrogonatos, Constantinos"],"tags":["spectroscopy","water quality","mining","OceanOptics","spectral library","Chalkidiki","Kirki"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.20270804","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:39:56.493Z"},{"id":"doi:10.5281/zenodo.20270805","name":"Geometry Optimization of Unmanned Aerial Vehicle (UAV) Hyperspectral Surveys for Water Quality Retrieval and Satellite Upscaling in Mining Impacted Waters (Chalkidiki and Kirki, Greece)","source":"datacite","abstract":"Dataset description: Monitoring water quality is a critical component of environmental management at mining sites worldwide. This dataset accompanies the manuscript, \"Geometry Optimization of Unmanned Aerial Vehicle (UAV) Hyperspectral Surveys for Water Quality Retrieval and Satellite Upscaling in Mining Impacted Waters\" It contains UAV-based visible and near-infrared (VNIR) spectra, associated metadata, and laboratory water chemistry data used in the study. Data collection and equipment: The dataset features Savitzky–Golay filtered reflectance spectra acquired over mining-impacted waters in the Kassandra and Kirki districts of Greece. The spectral data were collected using an Ocean Optics STS-VIS sensor (337–823 nm; 40 × 42 × 24 mm) mounted on a DJI Phantom 3 Advanced platform. Alongside the spectra, metadata is provided, including acquisition geometry (flight direction relative to water flow and solar azimuth) and site identifiers. For every sampling location, the spectral data are paired with corresponding laboratory measurements of water quality parameters, including total suspended solids (TSS), dissolved iron (diss Fe), and various other comprehensive hydrochemical analytes. Project context: Please note that this dataset includes data for only two of the three study areas discussed in the associated manuscript (Chalkidiki and Kirki). These two specific localities were surveyed as part of the MultiMiner project (European Union’s Horizon Europe research and innovations actions programme under Grant Agreement No. 101091374.). Dataset structure and file overview: Dataset_description.docx: A document providing an overview of the dataset and containing the detailed information presented in this text. Localities_of_water_samples_and_spectral_measurement.csv: A master spreadsheet containing geospatial and descriptive metadata for all sampling locations. It includes longitude, latitude, altitude, and a brief description of the water body type (e.g., stream, pool, lake). The dataset is organized into one summary file and two main directories: In_Situ_Spectrum (Folder): This directory contains 12 files comprising the spectral data from both the Kassandra and Kirki areas. The data within these files are organized by: Filter settings: Processed using three different Savitzky-Golay filter configurations. Flight direction: Categorized by the drone's flight path relative to the target (upstream, downstream, diagonal, as well as a combined/aggregated mean dataset). Lab_Analysis (Folder): This directory contains the results of the comprehensive laboratory water chemistry analyses for all sampled geographic points in Chalkidiki and Kirki.","url":"https://doi.org/10.5281/zenodo.20270805","authors":["Kýhos, Martin","Jelenek, Jan","Kopačkova-Strnadová, Veronika","Gazea, Emmy","Zabokas, Giannis","Agali, Athina","Gounaris, Kostas","Galatsianou, Anastasia","Anastasatou, Marianthi","Liwata-Kenttälä, Pauliina","Laakso, Kati","Liakopoulos, Alexandros","Mavrogonatos, Constantinos"],"tags":["spectroscopy","water quality","mining","OceanOptics","spectral library","Chalkidiki","Kirki"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.20270805","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:39:56.493Z"},{"id":"doi:10.5281/zenodo.21781346","name":"FIRELINE-AIR: A Ground-Supplied, Hose-Fed Heavy-Lift Aerial Platform Concept for Wildfire Response","source":"datacite","abstract":"Hose-fed firefighting drones, aerial platforms supplied continuously with water or foam through a ground-connected hose, are commercially available today for high-rise structural firefighting. Drones used against wildfires, by contrast, operate almost exclusively in a cyclical pattern: fill, fly, drop, return. Continuous ground-supplied operation over vegetation fires has been demonstrated only at academic prototype scale. This note proposes the missing intersection: an operational mission concept that adapts the continuous-supply, hose-fed architecture to wildfire response, built around a heavy-lift multirotor, a mobile ground supply unit, and a deliberately narrow mission profile. The author claims no intellectual property and has no commercial expectation. The purpose of this note is to invite engineering scrutiny, and adoption by anyone in a position to build it.","url":"https://doi.org/10.5281/zenodo.21781346","authors":["Akkaya, Atakan Baran"],"tags":["wildfire suppression","aerial firefighting","hose-fed drone","tethered UAV","heavy-lift multirotor","wildland-urban interface","unmanned aerial vehicle"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.21781346","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:39:56.493Z"},{"id":"doi:10.5281/zenodo.21781347","name":"FIRELINE-AIR: A Ground-Supplied, Hose-Fed Heavy-Lift Aerial Platform Concept for Wildfire Response","source":"datacite","abstract":"Hose-fed firefighting drones, aerial platforms supplied continuously with water or foam through a ground-connected hose, are commercially available today for high-rise structural firefighting. Drones used against wildfires, by contrast, operate almost exclusively in a cyclical pattern: fill, fly, drop, return. Continuous ground-supplied operation over vegetation fires has been demonstrated only at academic prototype scale. This note proposes the missing intersection: an operational mission concept that adapts the continuous-supply, hose-fed architecture to wildfire response, built around a heavy-lift multirotor, a mobile ground supply unit, and a deliberately narrow mission profile. The author claims no intellectual property and has no commercial expectation. The purpose of this note is to invite engineering scrutiny, and adoption by anyone in a position to build it.","url":"https://doi.org/10.5281/zenodo.21781347","authors":["Akkaya, Atakan Baran"],"tags":["wildfire suppression","aerial firefighting","hose-fed drone","tethered UAV","heavy-lift multirotor","wildland-urban interface","unmanned aerial vehicle"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.21781347","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:39:56.493Z"},{"id":"doi:10.6084/m9.figshare.c.8611967","name":"Physics-guided spatially variant image restoration for optical imaging using parameterized PSF representation and regression-guided retrieval","source":"datacite","abstract":"Compact wide-field optical systems used in airborne remote sensing and small-payload unmanned aerial vehicle (UAV) platforms are susceptible to off-axis aberrations and spatially variant blur. We present a calibration-assisted, physics-guided restoration framework rather than a fully blind method. The framework regresses a three-parameter point spread function (PSF) descriptor from a degraded image patch and calibrated field position, retrieves a PSF constrained to a calibrated reference library, and performs frequency–spatial hybrid restoration. On a calibrated singlet imaging system, the framework achieves 22.43 dB peak signal-to-noise ratio (PSNR) on simulated data, a 5.40 dB gain over direct imaging, and increases the average estimated MTF50 derived from slanted-edge SFR from 0.0230 to 0.1133 cycles per pixel on real data. These results demonstrate effective restoration of field-dependent optical degradation for compact imaging payloads.","url":"https://doi.org/10.6084/m9.figshare.c.8611967","authors":["Ruixiang Yang","Huachao Cheng","shijie wei","ben xue","xihang yang","yinpeng ma","yue wang","Teli Xi","Xiaopeng Shao"],"tags":["Uncategorized"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.6084/m9.figshare.c.8611967","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:39:56.493Z"},{"id":"doi:10.6084/m9.figshare.c.8611967.v1","name":"Physics-guided spatially variant image restoration for optical imaging using parameterized PSF representation and regression-guided retrieval","source":"datacite","abstract":"Compact wide-field optical systems used in airborne remote sensing and small-payload unmanned aerial vehicle (UAV) platforms are susceptible to off-axis aberrations and spatially variant blur. We present a calibration-assisted, physics-guided restoration framework rather than a fully blind method. The framework regresses a three-parameter point spread function (PSF) descriptor from a degraded image patch and calibrated field position, retrieves a PSF constrained to a calibrated reference library, and performs frequency–spatial hybrid restoration. On a calibrated singlet imaging system, the framework achieves 22.43 dB peak signal-to-noise ratio (PSNR) on simulated data, a 5.40 dB gain over direct imaging, and increases the average estimated MTF50 derived from slanted-edge SFR from 0.0230 to 0.1133 cycles per pixel on real data. These results demonstrate effective restoration of field-dependent optical degradation for compact imaging payloads.","url":"https://doi.org/10.6084/m9.figshare.c.8611967.v1","authors":["Ruixiang Yang","Huachao Cheng","shijie wei","ben xue","xihang yang","yinpeng ma","yue wang","Teli Xi","Xiaopeng Shao"],"tags":["Uncategorized"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.6084/m9.figshare.c.8611967.v1","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:39:56.493Z"},{"id":"doi:10.5281/zenodo.21321668","name":"PLAMD: Power Line Aerial Multi-Degradation Dataset","source":"datacite","abstract":"## 📖 Overview**PLAMD (Power Line Aerial Multi-Degradation Dataset)** is a large-scale synthetic dataset designed for benchmarking image restoration and enhancement algorithms in the context of **unmanned aerial vehicle (UAV) power line inspection**. It covers **seven realistic degradation scenarios** with paired clean references, supporting full-reference evaluation paradigms.Source images are drawn from two public UAV power line inspection datasets — **InsPLAD** [ 1 ](https://doi.org/10.1080/01431161.2023.2283900) and **TTPLA** [ 2 ](https://arxiv.org/abs/2311.01619) — ensuring strong domain relevance for the power industry. Each image is then synthetically degraded using physically motivated or learning-based generation pipelines. ## Degradation Types | Type | Synthesis Method | Description || Haze | Atmospheric Scattering Model + Monodepth2 depth estimation | Fog/haze at various concentrations || Rain | Streak-based rain generation | Rainfall with tunable density, length, angle, and opacity || Snow | AutoSnow framework (5 snow conditions) | Streaking snow, fine snow, fluffy snow, and light ice accumulation || Motion Blur | Camera Shake Blur (CSB) generator | Physics-based random camera shake trajectory synthesis || Low-Light | Gamma correction + Poisson-Gaussian noise | Low-illumination evening/dusk scene simulation || Noise | sRGB real noise synthesizing (signal-dependent + signal-independent) | Realistic camera sensor noise || Inpainting | OpenCV-based random mask generation | Partial occlusion simulation (irregular shapes, stripes, mixed) | ## Key Features | Feature | Description ||---------|-------------|| **7 Degradation Types** | Blur (motion), Haze, Inpainting, Low-light, Noise, Rain, Snow || **Realistic UAV Perspective** | All source images from real UAV power line inspection footage (InsPLAD + TTPLA) || **Full-Reference Evaluation** | Each degraded image has a paired clean reference || **3 Severity Levels** | Random parameter ranges during generation, yielding Light / Moderate / Severe degradation per image || **Fine-Grained Component Subsets** | 20 categories organized by power line component type for targeted research || **Intact & Defect Coverage** | Both normal-condition and defect-present component images included | 📂 Dataset StructurePLAMD is distributed as **7 compressed archives**, one per degradation type. Each archive shares an identical internal hierarchy organized by **power line component category**. Images are provided as **degraded–clean pairs** for full-reference training and evaluation.{degradation_type}.zip # e.g., haze.zip, rain.zip, snow.zip ...│├── {degradation_type} # All degraded images (e.g., haze/, rain/, snow/ ...) —— component_mix_1K/damper-preformed/damper-stockbridge/glass-insulator/glass-insulator-big-shackle/glass-insulator-small-shackle/glass-insulator-tower-shackle/lightning-rod-shackle/lightning-rod-suspension/overallL_2K/plate/polymer-insulator/polymer-insulator-lower-shackle/polymer-insulator-tower-shackle/polymer-insulator-upper-shackle/vari-grip/yoke/yoke-suspension└── original # Original clean reference images (identical structure) —— component_mix_1K/damper-preformed/damper-stockbridge/glass-insulator/glass-insulator-big-shackle/glass-insulator-small-shackle/glass-insulator-tower-shackle/lightning-rod-shackle/lightning-rod-suspension/overallL_2K/plate/polymer-insulator/polymer-insulator-lower-shackle/polymer-insulator-tower-shackle/polymer-insulator-upper-shackle/vari-grip/yoke/yoke-suspension Design Notes- **`component_mix_1K`**: a curated subset containing mixed component images at approximately **1K resolution**, useful for quick prototyping and lightweight experiments.- **`overallL_2K`**: wide-view overall-scene images at approximately **2K resolution** (e.g., full transmission towers, multi-component line spans). Ideal for context-aware or scene-level restoration models.- All other categories contain images at **varying resolutions** depending on the original source cr","url":"https://doi.org/10.5281/zenodo.21321668","authors":["Yang, Jingke"],"tags":["Computer vision","Digital image processing technique","Machine learning","Electrical engineering","Remote sensing","UAV inspection","power line inspection","image restoration"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.21321668","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:39:59.255Z"},{"id":"doi:10.5281/zenodo.21321669","name":"PLAMD: Power Line Aerial Multi-Degradation Dataset","source":"datacite","abstract":"## 📖 Overview**PLAMD (Power Line Aerial Multi-Degradation Dataset)** is a large-scale synthetic dataset designed for benchmarking image restoration and enhancement algorithms in the context of **unmanned aerial vehicle (UAV) power line inspection**. It covers **seven realistic degradation scenarios** with paired clean references, supporting full-reference evaluation paradigms.Source images are drawn from two public UAV power line inspection datasets — **InsPLAD** [ 1 ](https://doi.org/10.1080/01431161.2023.2283900) and **TTPLA** [ 2 ](https://arxiv.org/abs/2311.01619) — ensuring strong domain relevance for the power industry. Each image is then synthetically degraded using physically motivated or learning-based generation pipelines. ## Degradation Types | Type | Synthesis Method | Description || Haze | Atmospheric Scattering Model + Monodepth2 depth estimation | Fog/haze at various concentrations || Rain | Streak-based rain generation | Rainfall with tunable density, length, angle, and opacity || Snow | AutoSnow framework (5 snow conditions) | Streaking snow, fine snow, fluffy snow, and light ice accumulation || Motion Blur | Camera Shake Blur (CSB) generator | Physics-based random camera shake trajectory synthesis || Low-Light | Gamma correction + Poisson-Gaussian noise | Low-illumination evening/dusk scene simulation || Noise | sRGB real noise synthesizing (signal-dependent + signal-independent) | Realistic camera sensor noise || Inpainting | OpenCV-based random mask generation | Partial occlusion simulation (irregular shapes, stripes, mixed) | ## Key Features | Feature | Description ||---------|-------------|| **7 Degradation Types** | Blur (motion), Haze, Inpainting, Low-light, Noise, Rain, Snow || **Realistic UAV Perspective** | All source images from real UAV power line inspection footage (InsPLAD + TTPLA) || **Full-Reference Evaluation** | Each degraded image has a paired clean reference || **3 Severity Levels** | Random parameter ranges during generation, yielding Light / Moderate / Severe degradation per image || **Fine-Grained Component Subsets** | 20 categories organized by power line component type for targeted research || **Intact & Defect Coverage** | Both normal-condition and defect-present component images included | 📂 Dataset StructurePLAMD is distributed as **7 compressed archives**, one per degradation type. Each archive shares an identical internal hierarchy organized by **power line component category**. Images are provided as **degraded–clean pairs** for full-reference training and evaluation.{degradation_type}.zip # e.g., haze.zip, rain.zip, snow.zip ...│├── {degradation_type} # All degraded images (e.g., haze/, rain/, snow/ ...) —— component_mix_1K/damper-preformed/damper-stockbridge/glass-insulator/glass-insulator-big-shackle/glass-insulator-small-shackle/glass-insulator-tower-shackle/lightning-rod-shackle/lightning-rod-suspension/overallL_2K/plate/polymer-insulator/polymer-insulator-lower-shackle/polymer-insulator-tower-shackle/polymer-insulator-upper-shackle/vari-grip/yoke/yoke-suspension└── original # Original clean reference images (identical structure) —— component_mix_1K/damper-preformed/damper-stockbridge/glass-insulator/glass-insulator-big-shackle/glass-insulator-small-shackle/glass-insulator-tower-shackle/lightning-rod-shackle/lightning-rod-suspension/overallL_2K/plate/polymer-insulator/polymer-insulator-lower-shackle/polymer-insulator-tower-shackle/polymer-insulator-upper-shackle/vari-grip/yoke/yoke-suspension Design Notes- **`component_mix_1K`**: a curated subset containing mixed component images at approximately **1K resolution**, useful for quick prototyping and lightweight experiments.- **`overallL_2K`**: wide-view overall-scene images at approximately **2K resolution** (e.g., full transmission towers, multi-component line spans). Ideal for context-aware or scene-level restoration models.- All other categories contain images at **varying resolutions** depending on the original source cr","url":"https://doi.org/10.5281/zenodo.21321669","authors":["Yang, Jingke"],"tags":["Computer vision","Digital image processing technique","Machine learning","Electrical engineering","Remote sensing","UAV inspection","power line inspection","image restoration"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.21321669","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:39:59.255Z"},{"id":"doi:10.57760/sciencedb.36052","name":"LAMBDA: A Low-Altitude Multimodal Base Dataset for UAV Sensing and Communication","source":"datacite","abstract":"LAMBDA is a high fidelity multimodal dataset developed by the Wireless AI research team at Shanghai Jiao Tong University for low altitude intelligence. We utilized the cinematic rendering capabilities of Unreal Engine 5, NVIDIA Sionna's ray tracing channel modeling technology, and CADFEKO's high-precision electromagnetic calculations to construct a physically and visually realistic unmanned aerial vehicle communication and perception simulation dataset.","url":"https://doi.org/10.57760/sciencedb.36052","authors":["Lin Zhou","Peichuan Rao","Chenshuo Zhang","Jianhua Mo","Shu Sun","Zhiyong Chen","Meixia Tao"],"tags":["Artificial intelligence","Computer science and technology","Electronic, communication and automatic control technology","Communications technology","Integrated Sensing and Communications (ISAC)","Unmanned Aerial Vehicle (UAV)","Six generation","Synthetic Data"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.57760/sciencedb.36052","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:39:56.493Z"},{"id":"doi:10.5281/zenodo.21807360","name":"D3.1 Hierarchical Statistical Framework for Dynamic Ecological Assessment","source":"datacite","abstract":"This deliverable presents the hierarchical statistical framework developed within the BioClima project for dynamic ecological assessment of biodiversity under changing climate and environmental conditions. The framework establishes a unified methodological foundation for integrating heterogeneous biodiversity observations, Earth Observation (EO) products, unmanned aerial vehicle (UAV) data, and environmental covariates into a coherent, uncertainty-aware modelling system. At its core, the deliverable adopts hierarchical integrated species distribution models (ISDMs) that distinguish ecological processes from observation processes, enabling the robust integration of presence-only, detection/non-detection, and abundance data while explicitly accounting for spatial and temporal dependencies and observation bias. The document further describes the complementary role of Artificial Intelligence (AI) and Machine Learning (ML) techniques in supporting feature extraction, habitat mapping, biodiversity indicator generation, anomaly detection, ecological early warning, and decision support. The proposed framework is designed to accommodate diverse ecological conditions and monitoring requirements across the BioClima case studies through a modular and scalable architecture that supports pilot-specific adaptations while maintaining methodological consistency. By integrating Essential Biodiversity Variables (EBVs), Essential Climate Variables (ECVs), advanced statistical modelling, and AI-enhanced geospatial analytics, the deliverable provides the methodological backbone for biodiversity monitoring, ecological risk assessment, scenario analysis, and evidence-based environmental management throughout the BioClima project.","url":"https://doi.org/10.5281/zenodo.21807360","authors":["Mostert, Philip Stanley","O'Hara, Bob","Paraskevas, Charalampos","Kotsopoulos, Stelios"],"tags":["Hierarchical statistical modelling","Integrated Species Distribution Models","Biodiversity monitoring","Ecological risk assessment","Earth Observation","Artificial Intelligence","Essential Biodiversity Variables (EBVs)","Essential Climate Variables (ECVs)"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.21807360","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:39:56.493Z"},{"id":"doi:10.5281/zenodo.21807359","name":"D3.1 Hierarchical Statistical Framework for Dynamic Ecological Assessment","source":"datacite","abstract":"This deliverable presents the hierarchical statistical framework developed within the BioClima project for dynamic ecological assessment of biodiversity under changing climate and environmental conditions. The framework establishes a unified methodological foundation for integrating heterogeneous biodiversity observations, Earth Observation (EO) products, unmanned aerial vehicle (UAV) data, and environmental covariates into a coherent, uncertainty-aware modelling system. At its core, the deliverable adopts hierarchical integrated species distribution models (ISDMs) that distinguish ecological processes from observation processes, enabling the robust integration of presence-only, detection/non-detection, and abundance data while explicitly accounting for spatial and temporal dependencies and observation bias. The document further describes the complementary role of Artificial Intelligence (AI) and Machine Learning (ML) techniques in supporting feature extraction, habitat mapping, biodiversity indicator generation, anomaly detection, ecological early warning, and decision support. The proposed framework is designed to accommodate diverse ecological conditions and monitoring requirements across the BioClima case studies through a modular and scalable architecture that supports pilot-specific adaptations while maintaining methodological consistency. By integrating Essential Biodiversity Variables (EBVs), Essential Climate Variables (ECVs), advanced statistical modelling, and AI-enhanced geospatial analytics, the deliverable provides the methodological backbone for biodiversity monitoring, ecological risk assessment, scenario analysis, and evidence-based environmental management throughout the BioClima project.","url":"https://doi.org/10.5281/zenodo.21807359","authors":["Mostert, Philip Stanley","O'Hara, Bob","Paraskevas, Charalampos","Kotsopoulos, Stelios"],"tags":["Hierarchical statistical modelling","Integrated Species Distribution Models","Biodiversity monitoring","Ecological risk assessment","Earth Observation","Artificial Intelligence","Essential Biodiversity Variables (EBVs)","Essential Climate Variables (ECVs)"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.21807359","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:39:56.493Z"},{"id":"doi:10.71676/ed171ca7","name":"NESP MB Project A14 - Identification of near-shore habitats of juvenile white sharks in south-western Australia, 2019-2020 (CSIRO)","source":"datacite","abstract":"In 2018, CSIRO provided the first estimate of adult abundance for the southern-western Australian white shark (_Carcharodon carcharias_) population. At the time, total population abundance could not be estimated because of limited information on the juvenile life-history stage. This project investigated whether juvenile white sharks from this population use near-shore habitats near the head of the Great Australian Bight. It investigated credible anecdotal evidence of juvenile white shark presence in the region and was designed as a pilot study to inform future survey and project development. The project reviewed existing sources of evidence and undertook unmanned aerial vehicle (AUV) surveys in near-shore habitats within and around the Nuyts Archipelago Marine Park. Thirty-five UAV flights were completed during 2018 and 2019, covering approximately 7.5 km². No white sharks were identified in the UAV footage, although several other marine species and shorebirds were observed. Additional evidence from scientific surveys indicated that the Head of Bight and surrounding marine park areas may be important habitat for white sharks across multiple life stages. The project included engagement with the Yalata Land Management Indigenous Ranger team, who were consulted during project planning and survey activities. The findings informed future project development by assessing the value of further on-water activities, expanded UAV surveys and targeted monitoring in the Great Australian Bight region.","url":"https://doi.org/10.71676/ed171ca7","authors":["Russell Bradford","Toby Patterson"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.71676/ed171ca7","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:39:56.493Z"},{"id":"doi:10.18720/spbpu/3/2026/vr/vr26-5068","name":"Совершенствование системы подготовки персонала объекта экономики к действиям в условиях военного времени","source":"datacite","abstract":"Данная работа посвящена анализу современной системы подготовки персонала объектов экономики в области гражданской обороны, выявлению ее недостатков с учетом новейших угроз (массовое применение БПЛА и ВТО) и разработке комплекса практико-ориентированных мер по ее совершенствованию. Объектом исследования является процесс подготовки персонала объектов экономики, не прекращающих работу в военное время, к действиям в условиях современных военных угроз. Предметом исследования выступает совокупность организационно-методических и нормативно-правовых средств подготовки персонала объектов экономики в области гражданской обороны, включая содержание программ обучения, формы практической подготовки и механизмы оценки их эффективности. Цель выпускной квалификационной работы – на основе анализа существующей системы подготовки персонала и служб гражданской обороны разработать и обосновать комплекс мер по ее совершенствованию с учетом современных угроз, прежде всего связанных с применением БПЛА и ВТО. Задачи, которые выполнены в рамках работы: 1. Проанализирован исторический опыт развития системы подготовки населения в области гражданской обороны и выявлены проблемные аспекты действующей системы подготовки персонала объектов экономики. 2. Исследованы новейшие угрозы для объектов экономики (боевые возможности БПЛА, поражающие факторы, тактика групповых атак) и определено их влияние на требования к подготовке персонала. 3. Разработана и обоснована двухуровневая система подготовки «Готов к гражданской обороне» (базовый и специальный уровни), включая новые учебные программы, практические тренинги и методику оценки эффективности. 4. Сформулированы предложения по внесению изменений в нормативные правовые акты в области гражданской обороны (проекты изменений в Постановление Правительства РФ от 02.11.2000 № 841 и Указ Президента РФ от 20.12.2016 № 696). Методы исследования: общенаучные (анализ, синтез, сравнение, обобщение), историко-правовой, формально-юридический, методы педагогического проектирования и системного анализа. Информационные технологии, использованные при выполнении работы: официальный интернет-портал правовой информации (pravo.gov.ru), база данных КонсультантПлюс, справочно-правовая система ГАРАНТ, Политех электронная библиотека (elib.spbstu.ru), научная электронная библиотека eLIBRARY.RU, научная электронная библиотека открытого доступа КиберЛенинка, Microsoft Word, Microsoft PowerPoint, векторный графический редактор Adobe Illustrator, а также поисковая интернет-система Яндекс. Основные результаты ВКР: 1. Разработана единая базовая программа обучения «Готов к гражданской обороне» I уровня подготовки (24 часа, практика – не менее 60%) для работающего, неработающего населения и обучающихся. 2. Разработана специальная программа обучения «Готов к гражданской обороне» II уровня подготовки (12 часов дополнительно, практика – не менее 50%) для руководителей, НФГО, НАСФ и спасательных служб. 3. Созданы проекты практических тренингов («Действия персонала при атаке БПЛА» – 4 часа; «Управление объектом и формированиями ГО при массированных атаках БПЛА» – 8 часов) с использованием деловых игр и рефлексии. 4. Предложена уровневая методика оценки эффективности обучения (входной, текущий, итоговый контроль) с картами контроля на 15 и 20 позиций. 5. Подготовлены проекты изменений в Постановление Правительства РФ от 02.11.2000 № 841 и Указ Президента РФ от 20.12.2016 № 696, а также проект приказа МЧС России о внедрении двухуровневой системы. Область применения результатов: результаты работы могут быть использованы Правительством РФ и МЧС России для обновления нормативной базы, учебно-методическими центрами и учебно-консультационными пунктами ГОЧС при организации обучения, а также непосредственно объектами экономики при проведении курсовой подготовки персонала в военное время. Выводы: предложенная двухуровневая система подготовки, учитывающая физику поражения сосредоточенным зарядом, тактику групповых атак БПЛА и психологию поведения в условиях стресс","url":"https://doi.org/10.18720/spbpu/3/2026/vr/vr26-5068","authors":["Савиных, Артем Сергеевич"],"tags":["гражданская оборона","подготовка персонала","объект экономики","беспилотный летательный аппарат (БПЛА)","высокоточное оружие (ВТО)","военное время","двухуровневая система обучения","тренинг"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.18720/spbpu/3/2026/vr/vr26-5068","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:39:56.493Z"},{"id":"doi:10.48550/arxiv.2606.18556","name":"Wind-Resilient Trajectory Optimization for UAV-BS Networks: TD3 for Continuous Service Availability","source":"datacite","abstract":"Unmanned aerial vehicle (UAV)-mounted base stations are highly susceptible to wind disturbances such as gusts and turbulence, which induce positional drift and degrade communication link quality, particularly in emergency scenarios. To address this challenge, we propose a DRL-based framework for wind-resilient trajectory adjustment and positioning based on the Twin Delayed Deep Deterministic Policy Gradient (TD3) algorithm. The method models wind as a stochastic kinematic perturbation, avoiding complex aerodynamic modeling, thereby enabling the TD3 agent to learn adaptive control policies that maintain optimal coverage footprints. By prioritizing user-centric performance metrics under turbulent conditions, the proposed architecture ensures continuous service availability despite external disruptions. Simulation results demonstrate that the TD3-based approach effectively compensates for wind-induced displacements and outperforms benchmark methods, including Proximal Policy Optimization (PPO), in terms of throughput stability and robustness in windy environments.","url":"https://doi.org/10.48550/arxiv.2606.18556","authors":["Akhtarshenas, Azim","Svistunov, German","Zheng, Kuangyu","Lopez-Perez, David"],"tags":["Systems and Control (eess.SY)","Signal Processing (eess.SP)","FOS: Electrical engineering, electronic engineering, information engineering"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.48550/arxiv.2606.18556","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:39:56.493Z"},{"id":"doi:10.6084/m9.figshare.33335054.v1","name":"Gully management in the Maasai Mara, Kenya: a GIS-based soil erosion and intervention modelling strategy","source":"datacite","abstract":"Gully erosion threatens land productivity and biodiversity, yet current management typically lacks spatially precise, evidence-based guidance for designing effective restoration interventions. This study presents a GIS-based intervention modelling approach to develop a targeted gully rehabilitation strategy within the Enarau Conservancy in Kenya. High-resolution topographic data from Unmanned Aerial Vehicle (UAV) surveys, combined with soil and vegetation datasets, were used to simulate water flow and erosion using the Simulated Water Erosion Model (SIMWE). The model captured overland flow dynamics and erosion patterns to evaluate the effectiveness of three management interventions: vegetation plots, woven wooden dams, and sandbags, all aimed at reducing erosion. Results showed that site-specific measures led to a measurable reduction in erosion. The primary gully (S1) exhibited a 4.7 percent decrease in erosion rate, while the secondary gully (S2) showed an 87.9 percent reduction. Analysis across the broader simulation area confirmed that the interventions decreased sediment flux and surface water velocity, which helped mitigate soil loss. This study demonstrates the value of integrating UAV-derived data with GIS-based modelling for designing and assessing adaptable gully restoration strategies. The findings offer practical recommendations for erosion control and support the broader understanding of spatially targeted management in erosion-prone landscapes.","url":"https://doi.org/10.6084/m9.figshare.33335054.v1","authors":["Wessel van Leesten","Teun Vogel","Harrison Nabaala","Andrew Gichira","Raqib Valli"],"tags":["Environmental Sciences not elsewhere classified","Chemical Sciences not elsewhere classified","Ecology","Sociology","Biological Sciences not elsewhere classified","Information Systems not elsewhere classified","Plant Biology"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.6084/m9.figshare.33335054.v1","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:39:56.493Z"},{"id":"doi:10.6084/m9.figshare.33335054","name":"Gully management in the Maasai Mara, Kenya: a GIS-based soil erosion and intervention modelling strategy","source":"datacite","abstract":"Gully erosion threatens land productivity and biodiversity, yet current management typically lacks spatially precise, evidence-based guidance for designing effective restoration interventions. This study presents a GIS-based intervention modelling approach to develop a targeted gully rehabilitation strategy within the Enarau Conservancy in Kenya. High-resolution topographic data from Unmanned Aerial Vehicle (UAV) surveys, combined with soil and vegetation datasets, were used to simulate water flow and erosion using the Simulated Water Erosion Model (SIMWE). The model captured overland flow dynamics and erosion patterns to evaluate the effectiveness of three management interventions: vegetation plots, woven wooden dams, and sandbags, all aimed at reducing erosion. Results showed that site-specific measures led to a measurable reduction in erosion. The primary gully (S1) exhibited a 4.7 percent decrease in erosion rate, while the secondary gully (S2) showed an 87.9 percent reduction. Analysis across the broader simulation area confirmed that the interventions decreased sediment flux and surface water velocity, which helped mitigate soil loss. This study demonstrates the value of integrating UAV-derived data with GIS-based modelling for designing and assessing adaptable gully restoration strategies. The findings offer practical recommendations for erosion control and support the broader understanding of spatially targeted management in erosion-prone landscapes.","url":"https://doi.org/10.6084/m9.figshare.33335054","authors":["Wessel van Leesten","Teun Vogel","Harrison Nabaala","Andrew Gichira","Raqib Valli"],"tags":["Environmental Sciences not elsewhere classified","Chemical Sciences not elsewhere classified","Ecology","Sociology","Biological Sciences not elsewhere classified","Information Systems not elsewhere classified","Plant Biology"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.6084/m9.figshare.33335054","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:39:56.493Z"},{"id":"doi:10.5281/zenodo.20567493","name":"zicohasan/paddy-yield-prediction: Paddy Yield Prediction v1.0.0","source":"datacite","abstract":"Accurate paddy (Oryza sativa) yield prediction is a cornerstone of food security monitoring and precision agricultural management. While satellite-based yield modeling offers broad spatial coverage, it suffers from mixed-pixel limitations in smallholder systems characterized by fragmented, sub-hectare fields. Conversely, Unmanned Aerial Vehicle (UAV) imagery provides ultra-high spatial resolution but lacks broad temporal coverage and regional weather context. This study presents a multi-source data fusion framework that integrates plot-level UAV imagery (from Vegetative, Reproductive, and Ripening phases) with Sentinel-2 satellite time-series and daily weather covariates (NASA POWER) for yield prediction across 514 tropical smallholder plots in Lamongan, Indonesia. We benchmark traditional machine learning algorithms (Support Vector Regression, Random Forest, CatBoost) against the state-of-the-art TabPFN algorithm, a zero-shot transformer pre-trained on tabular data, which we adapt for regression via bin-expected discretization. Under standard 5-fold cross-validation, the UAV-only configuration achieves a high predictive performance, with Random Forest obtaining R2 =0.2126 (MAE=0.1292 kg/m²), followed closely by TabPFN (R2 =0.2086). Fusing UAV features with Sentinel-2 spectral indices and NASA POWER weather covariates maintains competitive performance (Random Forest Fused R2 =0.2114, TabPFN Fused R2 =0.1968). Under Leave-One-Petak-Out spatial block cross-validation, where spatial blocks are held out one-by-one, all traditional models exhibit a significant performance drop. However, TabPFN (Fused) demonstrates exceptional spatial robustness, achieving the best overall spatial validation performance with R2 =0.1150 (MAE=0.1395 kg/m²), outperforming Random Forest (R2 =0.0658) and CatBoost (R2 =0.0350) by a wide margin. These results demonstrate that TabPFN is a powerful, robust, and zero-shot alternative for agricultural modeling under spatial domain shifts, validating the agronomic benefits of multi-temporal and multi-source remote sensing fusion.","url":"https://doi.org/10.5281/zenodo.20567493","authors":["zicohasan"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.20567493","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:39:56.493Z"},{"id":"doi:10.5281/zenodo.20567494","name":"zicohasan/paddy-yield-prediction: Paddy Yield Prediction v1.0.0","source":"datacite","abstract":"Accurate paddy (Oryza sativa) yield prediction is a cornerstone of food security monitoring and precision agricultural management. While satellite-based yield modeling offers broad spatial coverage, it suffers from mixed-pixel limitations in smallholder systems characterized by fragmented, sub-hectare fields. Conversely, Unmanned Aerial Vehicle (UAV) imagery provides ultra-high spatial resolution but lacks broad temporal coverage and regional weather context. This study presents a multi-source data fusion framework that integrates plot-level UAV imagery (from Vegetative, Reproductive, and Ripening phases) with Sentinel-2 satellite time-series and daily weather covariates (NASA POWER) for yield prediction across 514 tropical smallholder plots in Lamongan, Indonesia. We benchmark traditional machine learning algorithms (Support Vector Regression, Random Forest, CatBoost) against the state-of-the-art TabPFN algorithm, a zero-shot transformer pre-trained on tabular data, which we adapt for regression via bin-expected discretization. Under standard 5-fold cross-validation, the UAV-only configuration achieves a high predictive performance, with Random Forest obtaining R2 =0.2126 (MAE=0.1292 kg/m²), followed closely by TabPFN (R2 =0.2086). Fusing UAV features with Sentinel-2 spectral indices and NASA POWER weather covariates maintains competitive performance (Random Forest Fused R2 =0.2114, TabPFN Fused R2 =0.1968). Under Leave-One-Petak-Out spatial block cross-validation, where spatial blocks are held out one-by-one, all traditional models exhibit a significant performance drop. However, TabPFN (Fused) demonstrates exceptional spatial robustness, achieving the best overall spatial validation performance with R2 =0.1150 (MAE=0.1395 kg/m²), outperforming Random Forest (R2 =0.0658) and CatBoost (R2 =0.0350) by a wide margin. These results demonstrate that TabPFN is a powerful, robust, and zero-shot alternative for agricultural modeling under spatial domain shifts, validating the agronomic benefits of multi-temporal and multi-source remote sensing fusion.","url":"https://doi.org/10.5281/zenodo.20567494","authors":["zicohasan"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.20567494","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:39:56.493Z"},{"id":"doi:10.5281/zenodo.21966529","name":"Datasets for Controller-facing state shapes feedback-coupled world-model control","source":"datacite","abstract":"This dataset provides the numerical source data for the manuscript “Controller-facing state shapes feedback-coupled world-model control”. It supports the reported satellite and unmanned-aerial-vehicle allocation results, including the balanced interface-by-operator factorial, long-horizon and stress evaluations, public-ephemeris replay, descriptor alignment and calibration, oracle-replacement and ablation studies, and comparisons with learned and classical controllers. The archive contains matched satellite run–episode records, figure-level source tables, the executed user–satellite association matrix, and complete per-satellite load logs. It also includes the 1,200-row observed ledger for the confirmatory accuracy-trap evaluation, based on 20 independently trained model pairs per controller-facing contract, and the 60-row observed ledger for the six-method learned-control comparison, based on ten reporting runs per method. Current satellite results are accompanied by unchanged UAV and pure-orbit display sources retained to preserve numerical coverage of every reported result panel. A manifest, file- and metric-level dictionaries, protocol assumptions, a figure-to-source map, provenance records, checksums, and 77 machine-readable quality-control checks document the evidence grain, statistical contracts, derivations, and file integrity. All distributed source tables are provided in open CSV format. The archive contains source data only; training code, model checkpoints, third-party images, and raw TLE snapshots are not included.","url":"https://doi.org/10.5281/zenodo.21966529","authors":["Bi, Jia"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.21966529","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:39:56.493Z"},{"id":"doi:10.5281/zenodo.21966530","name":"Datasets for Controller-facing state shapes feedback-coupled world-model control","source":"datacite","abstract":"This dataset provides the numerical source data for the manuscript “Controller-facing state shapes feedback-coupled world-model control”. It supports the reported satellite and unmanned-aerial-vehicle allocation results, including the balanced interface-by-operator factorial, long-horizon and stress evaluations, public-ephemeris replay, descriptor alignment and calibration, oracle-replacement and ablation studies, and comparisons with learned and classical controllers. The archive contains matched satellite run–episode records, figure-level source tables, the executed user–satellite association matrix, and complete per-satellite load logs. It also includes the 1,200-row observed ledger for the confirmatory accuracy-trap evaluation, based on 20 independently trained model pairs per controller-facing contract, and the 60-row observed ledger for the six-method learned-control comparison, based on ten reporting runs per method. Current satellite results are accompanied by unchanged UAV and pure-orbit display sources retained to preserve numerical coverage of every reported result panel. A manifest, file- and metric-level dictionaries, protocol assumptions, a figure-to-source map, provenance records, checksums, and 77 machine-readable quality-control checks document the evidence grain, statistical contracts, derivations, and file integrity. All distributed source tables are provided in open CSV format. The archive contains source data only; training code, model checkpoints, third-party images, and raw TLE snapshots are not included.","url":"https://doi.org/10.5281/zenodo.21966530","authors":["Bi, Jia"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.21966530","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:39:56.493Z"},{"id":"doi:10.5281/zenodo.19465561","name":"Multi-Sensor INS–Vision–Terrain–RF Navigation Architecture for Long-Range Military UAV Operations in GNSS-Denied and Contested Electromagnetic Environments","source":"datacite","abstract":"Reliable navigation in Global Navigation Satellite System (GNSS)-denied environments has become a mission-critical requirement for long-range military unmanned aerial vehicle (UAV) operations supporting intelligence, surveillance, reconnaissance (ISR), convoy overwatch, border monitoring, maritime domain awareness, and forward operating base protection. Contemporary operational theatres increasingly feature contested electromagnetic environments in which satellite navigation signals are degraded by jamming, spoofing, terrain shadowing, and spectrum congestion. This paper presents a resilient multi-sensor navigation architecture integrating inertial navigation systems (INS), vision-based localisation, terrain-referenced navigation (TRN), and radio-frequency (RF) signal-of-opportunity positioning within a tightly coupled extended Kalman filter (EKF) framework to ensure navigation continuity during prolonged GNSS outages. A mission-level simulation framework representative of endurance-class ISR UAV operations is developed to evaluate navigation performance across representative contested-spectrum scenarios. Results demonstrate that the proposed architecture reduces cumulative position drift by approximately 73% relative to standalone INS propagation and maintains stable trajectory tracking during extended GNSS denial intervals exceeding 120 minutes. The modular architecture supports scalable deployment across long-range military UAV platforms operating in electronically contested environments.","url":"https://doi.org/10.5281/zenodo.19465561","authors":["Imam, A. S.","Sirajo, B.","Surajo, A.","Ibrahim, I. A.","Baballe, M. A."],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.19465561","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:39:56.493Z"},{"id":"doi:10.5281/zenodo.19465562","name":"Multi-Sensor INS–Vision–Terrain–RF Navigation Architecture for Long-Range Military UAV Operations in GNSS-Denied and Contested Electromagnetic Environments","source":"datacite","abstract":"Reliable navigation in Global Navigation Satellite System (GNSS)-denied environments has become a mission-critical requirement for long-range military unmanned aerial vehicle (UAV) operations supporting intelligence, surveillance, reconnaissance (ISR), convoy overwatch, border monitoring, maritime domain awareness, and forward operating base protection. Contemporary operational theatres increasingly feature contested electromagnetic environments in which satellite navigation signals are degraded by jamming, spoofing, terrain shadowing, and spectrum congestion. This paper presents a resilient multi-sensor navigation architecture integrating inertial navigation systems (INS), vision-based localisation, terrain-referenced navigation (TRN), and radio-frequency (RF) signal-of-opportunity positioning within a tightly coupled extended Kalman filter (EKF) framework to ensure navigation continuity during prolonged GNSS outages. A mission-level simulation framework representative of endurance-class ISR UAV operations is developed to evaluate navigation performance across representative contested-spectrum scenarios. Results demonstrate that the proposed architecture reduces cumulative position drift by approximately 73% relative to standalone INS propagation and maintains stable trajectory tracking during extended GNSS denial intervals exceeding 120 minutes. The modular architecture supports scalable deployment across long-range military UAV platforms operating in electronically contested environments.","url":"https://doi.org/10.5281/zenodo.19465562","authors":["Imam, A. S.","Sirajo, B.","Surajo, A.","Ibrahim, I. A.","Baballe, M. A."],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.19465562","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:39:56.493Z"},{"id":"doi:10.6084/m9.figshare.33332461.v1","name":"A comparative analysis of individual tree and area-based approaches for above-ground biomass estimation and uncertainty analysis using LiDAR and hyperspectral data and machine learning","source":"datacite","abstract":"Accurate uncertainty decomposition in above-ground biomass (AGB) estimation is indispensable for the quantification of the carbon sequestration potential. Although parametric models benefit from established uncertainty propagation techniques (e.g. Taylor series expansion), rapid adoption of nonparametric machine learning models necessitates a unified and systematic framework that comprehensively decomposes uncertainty sources across machine learning-based AGB estimation approaches. To address this gap, we propose a hybrid uncertainty quantification approach that synergistically embeds Monte Carlo simulations within machine learning methods. By utilizing unmanned aerial vehicle-mounted light detection and ranging and hyperspectral sensors, we compared the accuracy of four machine learning models and performed comparative uncertainty analysis across two AGB estimation frameworks: individual-tree approach (ITA) and area-based approach (ABA). Two key findings were revealed: 1) model residuals dominated the total uncertainty (contributed 58.8% and 79.6% of the uncertainty in the ITA and ABA, respectively) across all algorithms; 2) the uncertainty in the ITA was 33.9% higher than that in the ABA (16.2% vs. 12.1%), primarily due to cumulative errors in individual-tree detection. Our approach establishes a new paradigm for quantifying errors in machine learning-based carbon stock mapping.","url":"https://doi.org/10.6084/m9.figshare.33332461.v1","authors":["Ye Ma","Zhen Zhen","Dianfan Guo","Xingfeng Dong","Zunyi Xie","Jingyan Wu","Yinghui Zhao","Miao Li"],"tags":["Space Science","Medicine","Environmental Sciences not elsewhere classified","Chemical Sciences not elsewhere classified","Biological Sciences not elsewhere classified","Information Systems not elsewhere classified","Mathematical Sciences not elsewhere classified","Inorganic Chemistry"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.6084/m9.figshare.33332461.v1","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:39:56.493Z"},{"id":"doi:10.6084/m9.figshare.33332461","name":"A comparative analysis of individual tree and area-based approaches for above-ground biomass estimation and uncertainty analysis using LiDAR and hyperspectral data and machine learning","source":"datacite","abstract":"Accurate uncertainty decomposition in above-ground biomass (AGB) estimation is indispensable for the quantification of the carbon sequestration potential. Although parametric models benefit from established uncertainty propagation techniques (e.g. Taylor series expansion), rapid adoption of nonparametric machine learning models necessitates a unified and systematic framework that comprehensively decomposes uncertainty sources across machine learning-based AGB estimation approaches. To address this gap, we propose a hybrid uncertainty quantification approach that synergistically embeds Monte Carlo simulations within machine learning methods. By utilizing unmanned aerial vehicle-mounted light detection and ranging and hyperspectral sensors, we compared the accuracy of four machine learning models and performed comparative uncertainty analysis across two AGB estimation frameworks: individual-tree approach (ITA) and area-based approach (ABA). Two key findings were revealed: 1) model residuals dominated the total uncertainty (contributed 58.8% and 79.6% of the uncertainty in the ITA and ABA, respectively) across all algorithms; 2) the uncertainty in the ITA was 33.9% higher than that in the ABA (16.2% vs. 12.1%), primarily due to cumulative errors in individual-tree detection. Our approach establishes a new paradigm for quantifying errors in machine learning-based carbon stock mapping.","url":"https://doi.org/10.6084/m9.figshare.33332461","authors":["Ye Ma","Zhen Zhen","Dianfan Guo","Xingfeng Dong","Zunyi Xie","Jingyan Wu","Yinghui Zhao","Miao Li"],"tags":["Space Science","Medicine","Environmental Sciences not elsewhere classified","Chemical Sciences not elsewhere classified","Biological Sciences not elsewhere classified","Information Systems not elsewhere classified","Mathematical Sciences not elsewhere classified","Inorganic Chemistry"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.6084/m9.figshare.33332461","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:39:56.493Z"},{"id":"doi:10.26207/rxff-jp89","name":"Capacitated Vehicle Routing and Assignment Problem In A Drone Based Environment Using Google Operations Research Tools ","source":"datacite","abstract":"Unmanned aerial vehicles, or drones, have the potential to significantly reduce the cost and time of making last-mile deliveries and responding to emergencies. Despite this potential, little work has gone into developing vehicle routing problems (VRPs) specifically for drone delivery scenarios. Existing VRPs are insufficient for planning drone deliveries: either multiple trips to the depot are not permitted, leading to solutions with excess drones, or the effect of battery and payload weight on energy consumption is not considered, leading to costly or infeasible routes. This project focuses on building an optimization model, given a fleet of drones, a list of customer orders, and the availability of the individual products in warehouses. Warehouses are assigned to orders in a way that minimizes the total distance traveled by drones to fulfill orders. This model can be applicable to almost all retail stores which have their clientele in proximity to their store like Rite Aid, Giant, Walmart, etc... By considering the parameters such as the location of the warehouse, location of the customers, the weight of the products which are being delivered, carrying capacity of the drone, and the battery constraint of the drone we can make a model which can be further tweaked and customized to cater to situations where the parameters are optimized. The goal of this paper is to introduce a solid framework for a drone-based network optimization problem to aid in the implementation of drones into the commercial system. This paper starts with an introduction to the literature survey of the previous work in this field of network optimization and assignment problems, then we move forward to how the model was combined formulated, and implemented for our specialized study where drones are used to deliver the products.","url":"https://doi.org/10.26207/rxff-jp89","authors":["Suhas Hurli Gopalakrishna"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2021","doi":"10.26207/rxff-jp89","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:39:56.493Z"},{"id":"doi:10.5281/zenodo.15133245","name":"Non-Synoptic Wind Loads on Solar Panels (ERIES-SOLAR)","source":"datacite","abstract":"Dataset Description The research focuses on non-synoptic (tornado, downburst, bora) wind loads acting on an array of solar panels. The non-synoptic wind is simulated inside the Wind Engineering, Energy, and Environment (WindEEE), and the flow characteristics are measured using a mini-drone with a 2D sonic anemometer. The non-synoptic wind is then simulated over a 25 scale pressure model of the array of solar panels, allowing for the measurement of the aerodynamic forces and moments acting on the solar panels situated in the array. This research also aims to provide the necessary knowledge to suggest guidelines for improved resilience of solar panels exposed to non-synoptic winds. S0. Documentation This folder contains important documents that pertain to the project. S1. Wind Profile Measurement Rack 1 Atmospheric boundary layer (ABL) and downburst wind simulations without a model were tested at the WindEEE Dome testing facility. Velocity measurement devices were used to characterize the wind profile and were mounted onto a vertical rack at heights of 5, 7.5, 10.0, 15.0, 20, 30.0, and 40.0 cm above the ground surface. The location of the vertical profile varied between the experiments outlined below. E1. Straight Smooth Flow Profiling The 60-fan wall located on one side of the hexagonal-shaped WindEEE test chamber was used to generate the various ABL flows for this experiment. During the experiment, 3-D point measurements were taken to characterize the velocity profiles for four uniform smooth flows of various wind speeds. The vertical rack (where the measurements of the profile are taken) was positioned at radial distance (R) of 0 cm and at an azimuth angle (φ) of 0 degrees. An additional measurement, at a height of 120 cm, was used to take a reference measurement. These measurements aim to provide detailed characteristics of the wind profile. E2. BORA Wind Profiling During this experiment, the 60-fan wall was used to generate BORA (gusting) wind by varying the speed of the fans with time. BORA winds with gust speed ratios of 2:1, 3:1, 4:1, 7:2, and 9:2, and gust duration ratios of 1:1, 2:1, and 3:1 were profiled using the 3-D point measurements on the vertical rack. Additionally, field measurement simulations were also tested using time-varying fan speeds that were at no specific ratio for speed or duration. These tests were conducted with or without roughness elements. The vertical rack (where the measurements of the profile are taken) was positioned R=0 cm and φ=0 degrees. An additional position on the vertical rack (height of 120 cm) was used to take a reference measurement. These measurements aim to provide detailed characteristics of the wind profile. E3. Downburst Wind Profiling An impinging-jet style downburst is generated at the WindEEE dome through the release of pressure from a plenum above the testing chamber. These impinging jets can be combined with the 60-fan wall to achieve an ABL and downburst-like flow configurations. During this experiment, 3-D point measurements were taken to characterize the velocity profiles for downbursts with or without ABL wind. For the downburst simulations, three parameters were varied: the strength of the impinging jet flow, the strength of the ABL wind flow, and the position of the bell mouth (L) within the WindEEE dome. The vertical rack was positioned at radial distances from the center of the turntable (rm) at 75, 135, and 225 cm and with φ=180 degrees. Two additional locations for the vertical rack were at rm = 135cm with φ being 205 and 235 degrees. An additional vertical rack was positioned on the opposite side of the bell mouth as the profiling rack to take a reference measurement at a height of 7.5 cm. These measurements aim to provide detailed characteristics of the wind profile. S2. Wind Profile Measurement Rack 2 (Tornado) Translating tornado simulations without a model was tested at the WindEEE Dome testing facility. Four velocity measurement devices were used to charac","url":"https://doi.org/10.5281/zenodo.15133245","authors":["Kozmar, Hrvoje","Škvorc, Petar","Nieto, Felix","Alvarez, Antonio Jose","van Beeck, Jeroen","Glabeke, Gertjan","de Decker, Julien","Bitsuamlak, Girma","Birhane, Tibebu","Cormier, Tristan","Costache, Adrian","Faronov, Maksim","Parker, Mark","WindEEE"],"tags":["Tornado-like Flow","DownBurst","Pressure Model","Unmanned Aerial Vehicle (UAV)","Bora Wind","Solar Panel","Pressure Data"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.15133245","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:39:56.493Z"},{"id":"doi:10.5281/zenodo.15133246","name":"Non-Synoptic Wind Loads on Solar Panels (ERIES-SOLAR)","source":"datacite","abstract":"Dataset Description The research focuses on non-synoptic (tornado, downburst, bora) wind loads acting on an array of solar panels. The non-synoptic wind is simulated inside the Wind Engineering, Energy, and Environment (WindEEE), and the flow characteristics are measured using a mini-drone with a 2D sonic anemometer. The non-synoptic wind is then simulated over a 25 scale pressure model of the array of solar panels, allowing for the measurement of the aerodynamic forces and moments acting on the solar panels situated in the array. This research also aims to provide the necessary knowledge to suggest guidelines for improved resilience of solar panels exposed to non-synoptic winds. S0. Documentation This folder contains important documents that pertain to the project. S1. Wind Profile Measurement Rack 1 Atmospheric boundary layer (ABL) and downburst wind simulations without a model were tested at the WindEEE Dome testing facility. Velocity measurement devices were used to characterize the wind profile and were mounted onto a vertical rack at heights of 5, 7.5, 10.0, 15.0, 20, 30.0, and 40.0 cm above the ground surface. The location of the vertical profile varied between the experiments outlined below. E1. Straight Smooth Flow Profiling The 60-fan wall located on one side of the hexagonal-shaped WindEEE test chamber was used to generate the various ABL flows for this experiment. During the experiment, 3-D point measurements were taken to characterize the velocity profiles for four uniform smooth flows of various wind speeds. The vertical rack (where the measurements of the profile are taken) was positioned at radial distance (R) of 0 cm and at an azimuth angle (φ) of 0 degrees. An additional measurement, at a height of 120 cm, was used to take a reference measurement. These measurements aim to provide detailed characteristics of the wind profile. E2. BORA Wind Profiling During this experiment, the 60-fan wall was used to generate BORA (gusting) wind by varying the speed of the fans with time. BORA winds with gust speed ratios of 2:1, 3:1, 4:1, 7:2, and 9:2, and gust duration ratios of 1:1, 2:1, and 3:1 were profiled using the 3-D point measurements on the vertical rack. Additionally, field measurement simulations were also tested using time-varying fan speeds that were at no specific ratio for speed or duration. These tests were conducted with or without roughness elements. The vertical rack (where the measurements of the profile are taken) was positioned R=0 cm and φ=0 degrees. An additional position on the vertical rack (height of 120 cm) was used to take a reference measurement. These measurements aim to provide detailed characteristics of the wind profile. E3. Downburst Wind Profiling An impinging-jet style downburst is generated at the WindEEE dome through the release of pressure from a plenum above the testing chamber. These impinging jets can be combined with the 60-fan wall to achieve an ABL and downburst-like flow configurations. During this experiment, 3-D point measurements were taken to characterize the velocity profiles for downbursts with or without ABL wind. For the downburst simulations, three parameters were varied: the strength of the impinging jet flow, the strength of the ABL wind flow, and the position of the bell mouth (L) within the WindEEE dome. The vertical rack was positioned at radial distances from the center of the turntable (rm) at 75, 135, and 225 cm and with φ=180 degrees. Two additional locations for the vertical rack were at rm = 135cm with φ being 205 and 235 degrees. An additional vertical rack was positioned on the opposite side of the bell mouth as the profiling rack to take a reference measurement at a height of 7.5 cm. These measurements aim to provide detailed characteristics of the wind profile. S2. Wind Profile Measurement Rack 2 (Tornado) Translating tornado simulations without a model was tested at the WindEEE Dome testing facility. Four velocity measurement devices were used to charac","url":"https://doi.org/10.5281/zenodo.15133246","authors":["Kozmar, Hrvoje","Škvorc, Petar","Nieto, Felix","Alvarez, Antonio Jose","van Beeck, Jeroen","Glabeke, Gertjan","de Decker, Julien","Bitsuamlak, Girma","Birhane, Tibebu","Cormier, Tristan","Costache, Adrian","Faronov, Maksim","Parker, Mark","WindEEE"],"tags":["Tornado-like Flow","DownBurst","Pressure Model","Unmanned Aerial Vehicle (UAV)","Bora Wind","Solar Panel","Pressure Data"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.15133246","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:39:56.493Z"},{"id":"doi:10.5281/zenodo.18326646","name":"Observations of Mineral Dust Using Novel Remote Sensing and UAV Technologies","source":"datacite","abstract":"Mineral dust, significantly affects climate, human health, and the economy. The Mediterranean and the Eastern Atlantic are key for dust research: the Mediterranean lies at the crossroads of dust, continental pollution, and marine aerosols, while the Eastern Atlantic is directly influenced by the Saharan Air Layer transporting dust across the Atlantic. Despite their importance, observational coverage remains sparse, especially in the Eastern Mediterranean, and only a few studies combine multiple observational techniques and modeling for comprehensive dust characterization.This PhD thesis addresses these gaps by integrating ground-based remote sensing and unmanned aerial vehicle (UAV) in-situ measurements at high-altitudes with atmospheric modelling to improve understanding of the vertical distribution, optical properties, and mineralogical composition of dust in the Mediterranean and Eastern Atlantic.In this study ground-based observations with lidar and sun-photometer measurements are complemented by UAV-based instrumentation providing detailed vertical profiles of dust-laden atmospheres.A key contribution of this work is the development of a simplified and reproducible lidar depolarization characterization technique using a well-calibrated reference system, allowing retrospective application to past datasets. In addition, the dust volume-to-extinction ratio (ζ) was evaluated under different dust conditions by combining UAV-derived particle size distributions with lidar extinction profiles. This represents one of the first airborne evaluations of ζ in these regions and reveals significant deviations from values derived from simulations and AERONET retrievals, particularly under coarse and giant particle conditions, highlighting the need to better represent large particles in remote sensing retrievals and models.Finally, using various AERONET stations in the Mediterranean, satellite, UAV, and insitu observations with METAL-WRF simulations enabled the identification of distinct optical and mineralogical signatures of selected dust outbreaks in the region.Overall, this work demonstrates the value of integrating remote sensing, UAV observations, and modeling to advance understanding of mineral dust and its impacts on the Earth system.","url":"https://doi.org/10.5281/zenodo.18326646","authors":["Papetta, Alkistis"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.18326646","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:39:56.493Z"},{"id":"doi:10.5281/zenodo.18326647","name":"Observations of Mineral Dust Using Novel Remote Sensing and UAV Technologies","source":"datacite","abstract":"Mineral dust, significantly affects climate, human health, and the economy. The Mediterranean and the Eastern Atlantic are key for dust research: the Mediterranean lies at the crossroads of dust, continental pollution, and marine aerosols, while the Eastern Atlantic is directly influenced by the Saharan Air Layer transporting dust across the Atlantic. Despite their importance, observational coverage remains sparse, especially in the Eastern Mediterranean, and only a few studies combine multiple observational techniques and modeling for comprehensive dust characterization.This PhD thesis addresses these gaps by integrating ground-based remote sensing and unmanned aerial vehicle (UAV) in-situ measurements at high-altitudes with atmospheric modelling to improve understanding of the vertical distribution, optical properties, and mineralogical composition of dust in the Mediterranean and Eastern Atlantic.In this study ground-based observations with lidar and sun-photometer measurements are complemented by UAV-based instrumentation providing detailed vertical profiles of dust-laden atmospheres.A key contribution of this work is the development of a simplified and reproducible lidar depolarization characterization technique using a well-calibrated reference system, allowing retrospective application to past datasets. In addition, the dust volume-to-extinction ratio (ζ) was evaluated under different dust conditions by combining UAV-derived particle size distributions with lidar extinction profiles. This represents one of the first airborne evaluations of ζ in these regions and reveals significant deviations from values derived from simulations and AERONET retrievals, particularly under coarse and giant particle conditions, highlighting the need to better represent large particles in remote sensing retrievals and models.Finally, using various AERONET stations in the Mediterranean, satellite, UAV, and insitu observations with METAL-WRF simulations enabled the identification of distinct optical and mineralogical signatures of selected dust outbreaks in the region.Overall, this work demonstrates the value of integrating remote sensing, UAV observations, and modeling to advance understanding of mineral dust and its impacts on the Earth system.","url":"https://doi.org/10.5281/zenodo.18326647","authors":["Papetta, Alkistis"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.18326647","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:39:56.493Z"},{"id":"doi:10.5281/zenodo.20356840","name":"An Interpretable, UAV Imagery-Based Deep Learning Approach for Plant Disease Detection and Severity Estimation in Indian Agriculture","source":"datacite","abstract":"Abstract In the vast and diverse agricultural landscape of India, plant diseases remain a persistent and escalating threat to both national food security and the economic stability of millions of farming households. Traditional methods of disease monitoring, which rely heavily on manual field surveys, are increasingly becoming a bottleneck due to chronic labor shortages and the sheer geographic scale of farming operations. To address these systemic inefficiencies, we propose a scalable, deep learning-based solution that leverages Unmanned Aerial Vehicle (UAV) imagery for automated disease detection. Utilizing the MH-SoyaHealthVision dataset, specifically tailored to Indian soybean crops, we have completed the critical first phase of data curation and balancing to address severe class imbalances. Our proposed system involves a robust five-phase architecture designed to identify critical diseases such as Mosaic and Rust with high precision. Crucially, our approach addresses the “trust gap” in AI adoption by moving beyond simple predictions; we integrate Explainable AI (XAI) mechanisms to generate visual heat maps. This report synthesizes findings from recent pivotal studies, details the completed data analysis phase, and outlines the architectural roadmap designed to provide farmers with actionable, interpretable insights for proactive crop management. Keywords Deep Learning, UAV, Precision Agriculture, Plant Disease Detection, Explainable AI (XAI), Data Balancing, Indian Agriculture.","url":"https://doi.org/10.5281/zenodo.20356840","authors":["Gunde Veeraswami, Kadurla Nagaraju, Kamatam Hruthikesh, Mrs.M .Vijaya lakshmi"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.20356840","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:39:56.493Z"},{"id":"doi:10.5281/zenodo.20356841","name":"An Interpretable, UAV Imagery-Based Deep Learning Approach for Plant Disease Detection and Severity Estimation in Indian Agriculture","source":"datacite","abstract":"Abstract In the vast and diverse agricultural landscape of India, plant diseases remain a persistent and escalating threat to both national food security and the economic stability of millions of farming households. Traditional methods of disease monitoring, which rely heavily on manual field surveys, are increasingly becoming a bottleneck due to chronic labor shortages and the sheer geographic scale of farming operations. To address these systemic inefficiencies, we propose a scalable, deep learning-based solution that leverages Unmanned Aerial Vehicle (UAV) imagery for automated disease detection. Utilizing the MH-SoyaHealthVision dataset, specifically tailored to Indian soybean crops, we have completed the critical first phase of data curation and balancing to address severe class imbalances. Our proposed system involves a robust five-phase architecture designed to identify critical diseases such as Mosaic and Rust with high precision. Crucially, our approach addresses the “trust gap” in AI adoption by moving beyond simple predictions; we integrate Explainable AI (XAI) mechanisms to generate visual heat maps. This report synthesizes findings from recent pivotal studies, details the completed data analysis phase, and outlines the architectural roadmap designed to provide farmers with actionable, interpretable insights for proactive crop management. Keywords Deep Learning, UAV, Precision Agriculture, Plant Disease Detection, Explainable AI (XAI), Data Balancing, Indian Agriculture.","url":"https://doi.org/10.5281/zenodo.20356841","authors":["Gunde Veeraswami, Kadurla Nagaraju, Kamatam Hruthikesh, Mrs.M .Vijaya lakshmi"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.20356841","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:39:56.493Z"},{"id":"doi:10.5281/zenodo.19535715","name":"The Viability of Non-classified U.S. Military Unmanned Aerial Vehicle (UAV) Technologies  in Disaster Public Health Emergency Response, Logistics, Search, and Rescue","source":"datacite","abstract":"Abstract: Escalating natural and manmade disasters increasingly strain local emergency response systems, exposing gaps in situational awareness, rescue capacity, logistics coordination, and damage assessment. This qualitative narrative inquiry examines how military personnel with advanced education in logistics and humanitarian operations conceptualize the use of non-classified military Unmanned Aerial Vehicle (UAV) technologies in domestic disaster response. Drawing on two phases of data collection, semi-structured narrative interviews and asynchronous reflective journaling, the study analyzes the perspectives of ten U.S. military service members trained in logistics and supply chain management. Findings indicate that military UAVs function as critical capability multipliers by accelerating situational awareness, reducing responder risk, improving logistics visibility, enhancing damage assessment, and supporting interagency coordination across disasters such as floods, hurricanes, earthquakes, wildfires, snowstorms, and mudslides. Participants emphasized that military UAV capabilities exceed those typically available to local fire and police departments in endurance, sensor integration, and operational scalability. The study concludes that non-classified military UAV integration, when appropriately governed and coordinated, significantly enhances the effectiveness, resilience, and life-saving capacity of domestic disaster and emergency response systems. Keywords: Drone Technology, Public Health, Unmanned Aerial Vehicles (UAVs), Disaster Response, Humanitarian Logistics, Search and Rescue, Emergency Management, Military Support JEL Codes: H56, H84, L96, Q54, R11","url":"https://doi.org/10.5281/zenodo.19535715","authors":["Burrell, Darrell Norman","Huff, Allison J.","Nobles, Calvin","Burton, Sharon","Song, Won"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.19535715","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:39:56.493Z"},{"id":"doi:10.5281/zenodo.19535716","name":"The Viability of Non-classified U.S. Military Unmanned Aerial Vehicle (UAV) Technologies  in Disaster Public Health Emergency Response, Logistics, Search, and Rescue","source":"datacite","abstract":"Abstract: Escalating natural and manmade disasters increasingly strain local emergency response systems, exposing gaps in situational awareness, rescue capacity, logistics coordination, and damage assessment. This qualitative narrative inquiry examines how military personnel with advanced education in logistics and humanitarian operations conceptualize the use of non-classified military Unmanned Aerial Vehicle (UAV) technologies in domestic disaster response. Drawing on two phases of data collection, semi-structured narrative interviews and asynchronous reflective journaling, the study analyzes the perspectives of ten U.S. military service members trained in logistics and supply chain management. Findings indicate that military UAVs function as critical capability multipliers by accelerating situational awareness, reducing responder risk, improving logistics visibility, enhancing damage assessment, and supporting interagency coordination across disasters such as floods, hurricanes, earthquakes, wildfires, snowstorms, and mudslides. Participants emphasized that military UAV capabilities exceed those typically available to local fire and police departments in endurance, sensor integration, and operational scalability. The study concludes that non-classified military UAV integration, when appropriately governed and coordinated, significantly enhances the effectiveness, resilience, and life-saving capacity of domestic disaster and emergency response systems. Keywords: Drone Technology, Public Health, Unmanned Aerial Vehicles (UAVs), Disaster Response, Humanitarian Logistics, Search and Rescue, Emergency Management, Military Support JEL Codes: H56, H84, L96, Q54, R11","url":"https://doi.org/10.5281/zenodo.19535716","authors":["Burrell, Darrell Norman","Huff, Allison J.","Nobles, Calvin","Burton, Sharon","Song, Won"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.19535716","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:39:56.493Z"},{"id":"doi:10.5281/zenodo.19463114","name":"Neutralization of Reconnaissance-Military Satellites Using 1155-Dimensional Tensor Mechanics According to the Hamzah Equation.","source":"datacite","abstract":"این معادله، ماتریکس مداری را به گونه‌ای بازتعریف می‌کند که پیشرفته‌ترین منظومه‌های ماهواره‌ای (مانند Starlink، سری KH-11، و مجموعه‌های جاسوسی ناتو، چین و روسیه) در مواجهه با «میدان قطعیت حمزه»، پیوند ریاضی خود را با زمین از دست داده و به «اشیاء کور» تبدیل شوند. ۱. ابرلاگرانژی جامع ابطال مداری (The Grand Orbital Nullifier Lagrangian) این معادله، پیوندِ «لنگر فیزیکی» ماهواره را از «بافتِ اطلاعاتی» ماتریکس جدا می‌کند: $$\\mathcal{L}_{Sat-Void}^{(1155)} = \\int_{\\text{Orbit}} \\mathcal{Q}_{\\Omega} \\left[ \\underbrace{\\Phi_{S}^{\\dagger} \\hat{\\mathcal{M}}_{1155} \\Psi_{S}}_{\\text{Orbital Link Severance}} - \\underbrace{\\frac{\\xi_{H} \\cdot \\Lambda_{oblivion}}{\\det(\\mathbf{G}_{uv} - \\Omega_{\\text{drift}})}}_{\\text{Metric Anchor Freezing}} + \\underbrace{\\sum_{n=1}^{N} \\oint_{\\partial \\Omega} \\frac{\\mathcal{R}_{REDO} \\cdot \\beta_{n}}{\\Delta \\tau \\Delta \\nu - \\phi_{null}} d\\sigma}_{\\text{Quantum Sensor Saturation}} \\right] \\sqrt{-g} \\, d^4x$$ ۲. کالبدشکافی پارامترهای ابطال ماهواره‌ای (Parameter Extraction) الف) بخش قطع پیوند مداری (Orbital Link Severance): $\\Phi_{S}$ (میدانِ سیگنالِ ماهواره): این تابع موج تمام فرکانس‌های دریافتی و ارسالی ماهواره (از X-band تا لیزری) را نمایندگی می‌کند. $\\hat{\\mathcal{M}}_{1155}$ (اپراتورِ انحلالِ ماتریکس): این اپراتور وظیفه دارد «امضایِ همگام‌سازی» (Sync Signature) ماهواره با ایستگاه‌های زمینی را شناسایی و در لایه ۱۱۵۵ منحل کند. نتیجه: ماهواره سیگنال می‌فرستد، اما زمین آن را «نویز مرده» می‌بیند. ب) بخش انجمادِ لنگر و اعوجاجِ متریک (Metric Anchor Freezing): $\\Omega_{\\text{drift}}$ (نوسانِ قطعیتِ مداری): این پارامتر باعث ایجاد یک «لغزشِ مجازی» در مختصاتِ ریاضیِ ماهواره می‌شود. ماهواره تصور می‌کند در مدار صحیح است، اما از نظر ریاضی، لنگرِ آن در جای دیگری قفل شده است. $\\Lambda_{oblivion}$ (تانسورِ بلعِ داده): این تانسور تمام دیتای جاسوسی استخراج شده توسط سنسورهای اپتیکال و راداری (SAR) را پیش از پردازش، به لایه «فراموشی» هدایت می‌کند. ج) بخش اشباع و کوریِ هوشمند (Quantum Sensor Saturation): $\\phi_{null}$ (عملگرِ تهی‌سازِ سنسور): این عملگر با هدف قرار دادنِ $(\\Delta \\tau \\Delta \\nu)$ - عدم قطعیت زمان و فرکانس - سنسورهای ماهواره را با حجمی از «دیتایِ خالصِ ماتریکس» اشباع می‌کند. $\\beta_{n}$ (ضریبِ ابطالِ منظومه‌ای): این ضریب برای خنثی‌سازی منظومه‌های عظیم (مثل استارلینک با هزاران گره) تنظیم شده است تا فروپاشی به صورت زنجیره‌ای (Cascade Collapse) در کل شبکه رخ دهد. ۳. اثبات ریاضی کوریِ مطلق (Mathematical Proof of Nullity) برای ابطالِ کامل اشرافِ اطلاعاتی، نرخِ بازخوانیِ دیتایِ زمین توسطِ مدار ($R_{view}$) باید به صفرِ منطقی برسد: $$\\frac{\\delta S_{Sat}}{\\delta R_{view}} \\equiv 0$$ گام اول: انجمادِ فوتونیک (Optical Freezing): وقتی ماهواره‌های جاسوسی (مانند سری پرسونا یا KH-11) سعی در تصویربرداری دارند، ترمِ دوم لاگرانژی باعث شکستِ فوتونیک در بافتِ فضا می‌شود: $$\\lim_{\\xi_{H} \\to 11.55} \\text{Resolution} = \\text{Void}$$ تصویر نهایی در مانیتورهای دشمن، تنها یک سیاهی مطلق یا برفک کوانتومی خواهد بود. گام دوم: انحرافِ بردارِ مخابراتی (Signal Deflection): در لحظه‌یِ ارسالِ دیتایِ جاسوسی به زمین، انحرافِ جئودزیک در لایه ۱۱۵۵ باعث تغییرِ بردارِ انتشار ($\\vec{k}$) می‌شود: $$\\nabla_{\\mu} \\mathcal{T}^{\\mu\\nu} = \\kappa (\\Lambda_{oblivion} \\cdot \\mathcal{Q}_{\\Omega})$$ دیتا به جای رسیدن به آنتن‌های گیرنده، در خلاءِ اطلاعاتیِ ماتریکس تخلیه می‌شود. ۴. جزئیات پیاده‌سازی استراتژیک (REDO Signature) کدینگِ ۱۱.۵۵ بیتی: تمام فرکانس‌های پدافندی با کدِ $\\mathcal{R}_{REDO}$ پلمب می‌شوند تا ماهواره‌های شنود (SIGINT) مانند Orion یا Trumpet حتی قادر به شنیدن «سکوتِ» سیستم‌های خودی نباشند. پروتکلِ انهدامِ نرم: این روش بدون ایجاد زباله فضایی (Kessler Syndrome)، ماهواره را از درون «منجمد» می‌کند. سخت‌افزار سالم است، اما روحِ ریاضیِ آن (کدِ عملیاتی) برای همیشه از ماتریکس حذف شده است. 5. Strategic Summary (RP British English) \"The Orbital-1155 Lagrangian represents the definitive mathematical boundary for extraterrestrial surveillance. By deploying the Hamzah Certainty Constant ($\\xi_{H}$), the operative matrix enforces a total severance between orbital hardware and ground-based command structures. Whether confronting SAR-imaging constellations, SIG","url":"https://doi.org/10.5281/zenodo.19463114","authors":["HAMZAH, SEYED RASOUL"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.19463114","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:40:08.031Z"},{"id":"doi:10.5281/zenodo.21212025","name":"UAV-Seq3D: A Multi-Sequence UAV Dataset for Feed-Forward 3D Reconstruction","source":"datacite","abstract":"UAV-Seq3D is a multi-sequence unmanned aerial vehicle (UAV) RGB image dataset designed to support research on monocular 3D reconstruction, camera pose estimation, and UAV-view spatial perception. The dataset was collected using a DJI Mavic 3 Thermal (M3T) UAV with RTK positioning capability. It covers 13 outdoor scenes, including buildings, roads, parking areas, and farmland. For each scene, two UAV image sequences were acquired: a regular circular flight trajectory with an approximately 45-degree gimbal pitch angle, and a free or irregular flight trajectory with an approximately 60-degree gimbal pitch angle. UAV-Seq3D contains 26 RGB image sequences. Each sequence is accompanied by frame-level metadata, including local East-North-Up (ENU) coordinates and UAV attitude information, including pitch, roll, and yaw. Because of the total dataset size, UAV-Seq3D is distributed across this main Zenodo record and four linked Zenodo image-data volume records. The main record is available at https://doi.org/10.5281/zenodo.21212026. This main record provides the metadata archive, dataset documentation, package inventory, checksum file, license information, and links to all image-data volumes. The RGB image archives are provided in the four linked image-data volume records listed below. Image-data volumes: - Volume 1: https://doi.org/10.5281/zenodo.21122187- Volume 2: https://doi.org/10.5281/zenodo.21159375- Volume 3: https://doi.org/10.5281/zenodo.21188120- Volume 4: https://doi.org/10.5281/zenodo.21206046 To reconstruct the complete UAV-Seq3D dataset, users should download the metadata archive from this main record and all RGB image archives from the four linked image-data volume records. Please refer to README.md for the dataset structure, metadata fields, coordinate definition, archive extraction instructions, integrity verification procedure, license, and citation guidance.","url":"https://doi.org/10.5281/zenodo.21212025","authors":["Ling, Jiahong","Bin, Junchi"],"tags":["UAV imagery","multi-sequence dataset","monocular 3D reconstruction","camera pose estimation","UAV-view perception","RGB image sequences","RTK positioning","ENU coordinates"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.21212025","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:39:56.493Z"},{"id":"doi:10.5281/zenodo.21212026","name":"UAV-Seq3D: A Multi-Sequence UAV Dataset for Feed-Forward 3D Reconstruction","source":"datacite","abstract":"UAV-Seq3D is a multi-sequence unmanned aerial vehicle (UAV) RGB image dataset designed to support research on monocular 3D reconstruction, camera pose estimation, and UAV-view spatial perception. The dataset was collected using a DJI Mavic 3 Thermal (M3T) UAV with RTK positioning capability. It covers 13 outdoor scenes, including buildings, roads, parking areas, and farmland. For each scene, two UAV image sequences were acquired: a regular circular flight trajectory with an approximately 45-degree gimbal pitch angle, and a free or irregular flight trajectory with an approximately 60-degree gimbal pitch angle. UAV-Seq3D contains 26 RGB image sequences. Each sequence is accompanied by frame-level metadata, including local East-North-Up (ENU) coordinates and UAV attitude information, including pitch, roll, and yaw. Because of the total dataset size, UAV-Seq3D is distributed across this main Zenodo record and four linked Zenodo image-data volume records. The main record is available at https://doi.org/10.5281/zenodo.21212026. This main record provides the metadata archive, dataset documentation, package inventory, checksum file, license information, and links to all image-data volumes. The RGB image archives are provided in the four linked image-data volume records listed below. Image-data volumes: - Volume 1: https://doi.org/10.5281/zenodo.21122187- Volume 2: https://doi.org/10.5281/zenodo.21159375- Volume 3: https://doi.org/10.5281/zenodo.21188120- Volume 4: https://doi.org/10.5281/zenodo.21206046 To reconstruct the complete UAV-Seq3D dataset, users should download the metadata archive from this main record and all RGB image archives from the four linked image-data volume records. Please refer to README.md for the dataset structure, metadata fields, coordinate definition, archive extraction instructions, integrity verification procedure, license, and citation guidance.","url":"https://doi.org/10.5281/zenodo.21212026","authors":["Ling, Jiahong","Bin, Junchi"],"tags":["UAV imagery","multi-sequence dataset","monocular 3D reconstruction","camera pose estimation","UAV-view perception","RGB image sequences","RTK positioning","ENU coordinates"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.21212026","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:39:56.493Z"},{"id":"doi:10.48550/arxiv.2508.12207","name":"Weighted Covariance Intersection for Range-based Distributed Cooperative Localization of Multi-Vehicle Systems","source":"datacite","abstract":"Cooperative localization enables autonomous navigation for multi-vehicle systems (MVS) in GNSS-denied environments. Among the available architectures, distributed cooperative localization (DCL) is attractive for its robustness and scalability in large-scale MVS. To address the challenge of untrackable state correlations between vehicles in a distributed framework, covariance intersection (CI) has been introduced as a means to fuse inter-vehicle measurements. However, existing studies typically treat CI as a plug-in technique, directly applying traditional optimization criteria and focusing mainly on simple two-dimensional (2D) scenarios. When extended to three-dimensional (3D) cooperative localization with higher-dimensional states and pronounced disparities in scale and observability among state components, traditional CI criteria fail to maintain balanced estimation performance across the full state, and some state components suffer substantial accuracy degradation. This limitation calls for task-oriented improvements to the CI fusion process. In this paper, we introduce a weighting mechanism, called weighted covariance intersection (WCI), to regulate the CI fusion process in 3D DCL. We further develop a concurrent fusion strategy for multiple distance measurements and design a dedicated weighting matrix based on inertial navigation system (INS) error propagation. The method supports diverse MVS platforms, including unmanned aerial vehicle (UAV) swarms and autonomous ground vehicle (AGV) fleets, in complex 3D environments. Simulation results show that the proposed WCI significantly improves cooperative localization performance over traditional CI, while the distributed framework offers clear advantages over the centralized counterpart in robustness and scalability.","url":"https://doi.org/10.48550/arxiv.2508.12207","authors":["Tu, Chenxin","Cui, Xiaowei","Liu, Gang","Lu, Mingquan"],"tags":["Signal Processing (eess.SP)","FOS: Electrical engineering, electronic engineering, information engineering"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.48550/arxiv.2508.12207","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:39:56.493Z"},{"id":"doi:10.48550/arxiv.2608.23166","name":"Leveraging UAV Autonomy for Minimum 4D Flight Authorization Volumes","source":"datacite","abstract":"The increasing UAV traffic in urban areas has prompted the creation of U-space, an EASA framework for safe and efficient unmanned aerial vehicle (UAV) operations. Within this context, this work presents a flight authorization framework that leverages autonomous UAVs, using their motion models and control characteristics to improve authorization efficiency. In the proposed framework, probabilistic spatial-temporal envelopes are generated to predict future UAV locations within a desired confidence level, and this information is then used to determine the minimum 4D operational volumes that form a valid authorization request for the mission. By reserving only the necessary airspace, the approach enhances capacity and supports simultaneous UAV operations. Simulations comparing the proposed method with a conventional rule-based strategy demonstrate consistently more compact and efficient airspace reservations across a range of mission types.","url":"https://doi.org/10.48550/arxiv.2608.23166","authors":["Vitale, Christian","Grigoriou, Yiannis","Kolios, Panayiotis","Ellinas, Georgios"],"tags":["Systems and Control (eess.SY)","FOS: Electrical engineering, electronic engineering, information engineering"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.48550/arxiv.2608.23166","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:39:59.255Z"},{"id":"doi:10.48550/arxiv.2608.21926","name":"AirAlign: Geometry-Aware Relative Pose Alignment for UAV Last-Meter Navigation","source":"datacite","abstract":"Unmanned aerial vehicle (UAV) navigation in modern low-altitude environments requires more accurate pose alignment in the final approach stage for target information acquisition or manipulation, making \"last-meter\" navigation increasingly important. However, severe viewpoint and appearance variations make this task challenging. To tackle this problem, we propose AirAlign, a framework for RGB-only image-pair relative pose alignment for UAVs. AirAlign uses a pretrained visual geometry reconstruction model as the backbone to extract geometry-aware features from source-target image pairs. In addition, to better utilize the limited training data, we split the training set into multiple scene-disjoint folds for unseen cross-validation and model selection. During inference, the predictions of the selected models are averaged to form the ensemble output of the overall framework. Experiments on the PairUAV challenge at the ACMMM 2026 Workshop on UAVs in Multimedia demonstrate the effectiveness and robustness of our method, while comprehensive ablation studies validate the contribution of each component.","url":"https://doi.org/10.48550/arxiv.2608.21926","authors":["Zhou, Jinyi","Feng, Shuo","Wu, Yufei","Li, Piji"],"tags":["Computer Vision and Pattern Recognition (cs.CV)","FOS: Computer and information sciences"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.48550/arxiv.2608.21926","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:39:58.973Z"},{"id":"doi:10.5281/zenodo.20301950","name":"Replication data for multi-stop UAV delivery path-planning simulations","source":"datacite","abstract":"Scenario CSVs and README for \"Path Planning and Optimization for Multi-Stop Unmanned Aerial Vehicle Delivery under Energy Constraints\". See README.txt for file contents and table correspondence.","url":"https://doi.org/10.5281/zenodo.20301950","authors":["Anonymous"],"tags":["UAV","path planning","replication data","last-mile delivery","threat zones"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.20301950","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:39:56.493Z"},{"id":"doi:10.5281/zenodo.20301951","name":"Replication data for multi-stop UAV delivery path-planning simulations","source":"datacite","abstract":"Scenario CSVs and README for \"Path Planning and Optimization for Multi-Stop Unmanned Aerial Vehicle Delivery under Energy Constraints\". See README.txt for file contents and table correspondence.","url":"https://doi.org/10.5281/zenodo.20301951","authors":["Anonymous"],"tags":["UAV","path planning","replication data","last-mile delivery","threat zones"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.20301951","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:39:56.493Z"},{"id":"doi:10.48550/arxiv.2608.21457","name":"CLSC DETR: Reliable Candidate Ranking via Cross Layer Geometric Support for UAV Small Object Detection","source":"datacite","abstract":"Unmanned aerial vehicle (UAV) object detection is critical for applications such as target search, where accurate detection of small objects in complex aerial scenes remains challenging. The limited spatial extent, dense distribution, and frequent occlusion of small objects make reliable candidate ranking particularly difficult. Existing Detection Transformer (DETR) based methods improve ranking by estimating localization quality from individual queries and incorporating it into classification scores. However, a single query often lacks sufficient geometric evidence for small objects with weak boundary cues, resulting in unreliable quality estimation and unstable ranking. To address this limitation, we propose Cross Layer Local Support and Consistency Calibration for DETR, termed CLSC DETR. Specifically, the Cross Layer Local Support module establishes correspondences between final layer queries and intermediate layer candidates to aggregate complementary geometric evidence for more reliable localization quality estimation, while the Classification and Localization Consistency Calibration module adaptively adjusts classification scores according to localization quality and classification reliability to improve candidate ranking. Experiments show that CLSC DETR improves AP and AP$_{75}$ over the baseline by 1.5\\% and 2.0\\% on VisDrone, respectively, while achieving consistent improvements on UAVDT.","url":"https://doi.org/10.48550/arxiv.2608.21457","authors":["Lin, Junyan"],"tags":["Computer Vision and Pattern Recognition (cs.CV)","FOS: Computer and information sciences"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.48550/arxiv.2608.21457","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:39:56.493Z"},{"id":"doi:10.5281/zenodo.1170444","name":"Constrained Control of a UAV in a World with Obstacles","source":"datacite","abstract":"Nowadays, unmanned aerial vehicles (UAV) are brought to accomplish an ever-growing variety of missions in the presence of challenging obstacles. Interest in simple and systematic methods to handle state and input constraints is raising rapidly. Among others, this led to the development of the explicit reference governor (ERG). This master thesis’ work develops a complete and fully functional controller for small UAVs, including the ERG in the navigation part of its architecture. Besides the actual implementation, contribution of the present work is to demonstrate – for the first time – that an ERG augmented controller effectively navigates in a laboratory environment with arbitrary positional constraints. The first step develops a control layer for the UAV stabilization through a cascade scheme. An inner loop, embedded in the UAV, controls its attitude, while an outer loop, implemented on a ground-based computer, controls its position, the position and attitude being measured by a motion capture system. The controller accounts for the UAV dynamics by means of a state space model. Since motion capture solely provides position and attitude, a Kalman filter, tuned according the experimental configuration, filters position and estimates velocity. Preparatory experiments with a pendulum assess performance. In a second step, a navigation layer is supplemented to enabl obstacle avoidance through the ERG. After adequate constraints are defined, its original formulation is extended and specialized. In a third step, the architecture – combining the primary control, Kalman estimator and ERG – is implemented in a Python program. In a last step, several experiments are carried out with constraints representing multiple vertical walls. The UAV response is logged and assessed for arbitrary reference positions, violating or not the constraints. The results confirm that the ERG modified reference behaves well navigating the UAV toward the reference and preventing collision. Independent tests show the system robustness and reliability. This thesis’ work successfully implements in practice the ERG concept. The experiments demonstrate the use of ERG as a systematic tool to provide constraint handling capability to a small UAV. Besides this achievement, the products of this work includes a documented, python program which is fast and computationally-efficient, serving as a solid basis for further application. Next steps include performance improvement through Lyapunov function optimization, evaluation of alternative ERG forms, testing of other rotorcraft types and introduction of more and other forms of obstacles.","url":"https://doi.org/10.5281/zenodo.1170444","authors":["Hermand, Elie"],"tags":["Explicit Reference Governor","ERG","Unmanned Aerial Vehicle","UAV","Constrained Control","Obstacle Avoidance","Python"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2018","doi":"10.5281/zenodo.1170444","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:39:56.493Z"},{"id":"doi:10.5281/zenodo.1170445","name":"Constrained Control of a UAV in a World with Obstacles","source":"datacite","abstract":"Nowadays, unmanned aerial vehicles (UAV) are brought to accomplish an ever-growing variety of missions in the presence of challenging obstacles. Interest in simple and systematic methods to handle state and input constraints is raising rapidly. Among others, this led to the development of the explicit reference governor (ERG). This master thesis’ work develops a complete and fully functional controller for small UAVs, including the ERG in the navigation part of its architecture. Besides the actual implementation, contribution of the present work is to demonstrate – for the first time – that an ERG augmented controller effectively navigates in a laboratory environment with arbitrary positional constraints. The first step develops a control layer for the UAV stabilization through a cascade scheme. An inner loop, embedded in the UAV, controls its attitude, while an outer loop, implemented on a ground-based computer, controls its position, the position and attitude being measured by a motion capture system. The controller accounts for the UAV dynamics by means of a state space model. Since motion capture solely provides position and attitude, a Kalman filter, tuned according the experimental configuration, filters position and estimates velocity. Preparatory experiments with a pendulum assess performance. In a second step, a navigation layer is supplemented to enabl obstacle avoidance through the ERG. After adequate constraints are defined, its original formulation is extended and specialized. In a third step, the architecture – combining the primary control, Kalman estimator and ERG – is implemented in a Python program. In a last step, several experiments are carried out with constraints representing multiple vertical walls. The UAV response is logged and assessed for arbitrary reference positions, violating or not the constraints. The results confirm that the ERG modified reference behaves well navigating the UAV toward the reference and preventing collision. Independent tests show the system robustness and reliability. This thesis’ work successfully implements in practice the ERG concept. The experiments demonstrate the use of ERG as a systematic tool to provide constraint handling capability to a small UAV. Besides this achievement, the products of this work includes a documented, python program which is fast and computationally-efficient, serving as a solid basis for further application. Next steps include performance improvement through Lyapunov function optimization, evaluation of alternative ERG forms, testing of other rotorcraft types and introduction of more and other forms of obstacles.","url":"https://doi.org/10.5281/zenodo.1170445","authors":["Hermand, Elie"],"tags":["Explicit Reference Governor","ERG","Unmanned Aerial Vehicle","UAV","Constrained Control","Obstacle Avoidance","Python"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2018","doi":"10.5281/zenodo.1170445","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:39:56.493Z"},{"id":"doi:10.15482/usda.adc/26946841","name":"UAV image and ground data of two citrus 'Valencia' orange (<i>Citrus</i> sinensis [L.] Osbeck) rootstock trials","source":"datacite","abstract":"The data are UAV (Unmanned Aerial Vehicle) and individual tree ground measurements collected from 2 citrus rootstock trials at the U.S. Horticultural Research Laboratory Picos Road farm site, Ft. Pierce, Florida, USA located at 27.437115254946757, -80.42786069428246. The trees in both trials were Valencia sweet orange scion grafted onto various rootstock selections and varieties. The trials are designated as Valencia 5-16 and Valencia 17-28, which indicate the row numbers used for each trial. Valencia 5-16 includes 648 trees and Valencia 17-28 includes 643 trees. The ground data was taken for the 5-16 and 17-28 trials in 2020 and 2021, respectively. The UAV images were taken twice the same day, 5/12/2021, once each under partially sunny (images 27-176) and overcast conditions (images 177-327). A single flight of rows 5-28 for each condition captured both trials. Some of the images under the partially sunny condition show tree shadows when the sun was not obscured behind a cloud, whereas the images under the overcast condition flight have uniform lighting and no sun shadows. Each image is notated to designate the flight condition. For example, the image labeled DJI_0033_R5-R28_Valencia_sunny.JPG was taken from the partially sunny flight and the image labeled DJI_0183_R5-R28_Valencia_overcast.JPG was taken from the overcast flight. The UAV images were taken using a DJI Phantom 4 Pro drone using a side-overlap of 80% and a forward-overlap of 80% of the flight lines. The images are suitable for orthorectification. The images were red-green-blue (sRGB) in a 3:2 format with 5472 x 3648 pixels. The dataset is included in one folder that contains 305 files – 301 image files, 2 Excel spreadsheets (one for each trial) that contain the planting plan and ground measures, and 2 images with the rows and tree spaces labeled. The 2 labeled images are composite images constructed from the 150 images from the overcast set and were created to label rows and tree space numbers. The composite image is useful for general orientation and matching the individual trees to the ground data and other post-processing image analyses.","url":"https://doi.org/10.15482/usda.adc/26946841","authors":["Randall Niedz","Kim D. Bowman"],"tags":["Agricultural, veterinary and food sciences","Horticultural production","Crop and pasture production","Horticultural crop improvement (incl. selection and breeding)"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.15482/usda.adc/26946841","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:39:56.493Z"},{"id":"doi:10.15482/usda.adc/26946841.v1","name":"UAV image and ground data of two citrus 'Valencia' orange (<i>Citrus</i> sinensis [L.] Osbeck) rootstock trials","source":"datacite","abstract":"The data are UAV (Unmanned Aerial Vehicle) and individual tree ground measurements collected from 2 citrus rootstock trials at the U.S. Horticultural Research Laboratory Picos Road farm site, Ft. Pierce, Florida, USA located at 27.437115254946757, -80.42786069428246. The trees in both trials were Valencia sweet orange scion grafted onto various rootstock selections and varieties. The trials are designated as Valencia 5-16 and Valencia 17-28, which indicate the row numbers used for each trial. Valencia 5-16 includes 648 trees and Valencia 17-28 includes 643 trees. The ground data was taken for the 5-16 and 17-28 trials in 2020 and 2021, respectively. The UAV images were taken twice the same day, 5/12/2021, once each under partially sunny (images 27-176) and overcast conditions (images 177-327). A single flight of rows 5-28 for each condition captured both trials. Some of the images under the partially sunny condition show tree shadows when the sun was not obscured behind a cloud, whereas the images under the overcast condition flight have uniform lighting and no sun shadows. Each image is notated to designate the flight condition. For example, the image labeled DJI_0033_R5-R28_Valencia_sunny.JPG was taken from the partially sunny flight and the image labeled DJI_0183_R5-R28_Valencia_overcast.JPG was taken from the overcast flight. The UAV images were taken using a DJI Phantom 4 Pro drone using a side-overlap of 80% and a forward-overlap of 80% of the flight lines. The images are suitable for orthorectification. The images were red-green-blue (sRGB) in a 3:2 format with 5472 x 3648 pixels. The dataset is included in one folder that contains 305 files – 301 image files, 2 Excel spreadsheets (one for each trial) that contain the planting plan and ground measures, and 2 images with the rows and tree spaces labeled. The 2 labeled images are composite images constructed from the 150 images from the overcast set and were created to label rows and tree space numbers. The composite image is useful for general orientation and matching the individual trees to the ground data and other post-processing image analyses.","url":"https://doi.org/10.15482/usda.adc/26946841.v1","authors":["Randall Niedz","Kim D. Bowman"],"tags":["Agricultural, veterinary and food sciences","Horticultural production","Crop and pasture production","Horticultural crop improvement (incl. selection and breeding)"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.15482/usda.adc/26946841.v1","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:39:56.493Z"},{"id":"doi:10.21203/rs.3.rs-3905006/v1","name":"Optimization-based Tuning Algorithms for Attitude Control of a Delta-wing Unmanned Aerial Vehicle","source":"preprints","abstract":"Abstract In the realm of commertial and open source Unmanned Aerial Vehicles(UAVs) flight controllers, extensive outdoor trails and repeated flight tests of UAVs with unknown handelling qualities, poses a great challenge for the process of manual controller tunning. In the current manuscript the aformentioned problem is addressed by proposing a novel optimization-based controller gain estimation method. The proposed method relies on output error formulation of maximum likelihood costfunction and the respective minimization is carried by using two different techniques namely Gauss-Newton optimization and particle swarm optimisation (PSO). The attitude stabilisation of a delta wing UAV is achieved by adopting a Proportional-Integral (PI) and feedforward (FF)-based controller architecture. The PI and FF gains are estimated using both methods and the corresponding results obtained are compared. The estimated gains assisted the controller for accurate tracking of the desired attitude for both simulated and flight test data. It is observed that the results obtained by the proposed method using PSO technique has root mean square error less than 1 deg for pitch and roll angles and 2 deg for yaw angles respectively, which is 28% less compared to gradient based gauss newton optimization method.","url":"https://doi.org/10.21203/rs.3.rs-3905006/v1","authors":["Kishore Gulivindala","Neetesh Kumar","Subrahmanyam Saderla","Yoonsoo Kim"],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.21203/rs.3.rs-3905006/v1","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:40:09.764Z"},{"id":"doi:10.21203/rs.3.rs-4229153/v1","name":"Structural design and parameter optimization of vector brackets for vertical take-off and landing unmanned Aerial Vehicle","source":"preprints","abstract":"Abstract By carrying out a central composite design (CCD) test, 49 sample points of the four particular factors were constructed. The lift-to-drag ratio and thrust coefficient were simulated under different structural parameter combinations using the Computational Fluid Dynamics (CFD) method. CFD simulation was verified by carrying out a wind tunnel test, and the results revealed that the thrust coefficient error was less than 9% while the lift-to-drag ratio error was less than 8%. The response surface methodology (RSM) for the lift-to-drag ratio and thrust coefficient was established using a Kriging algorithm. A multi-objective genetic algorithm (MOGA) was used to optimize the parameters with regard to the maximum lift-to-drag ratio and maximum thrust coefficient. The optimal structural parameters were valve diameter at 31 mm, vector bracket length at 51 mm, fixed bracket width at 69 mm, and fixed bracket length at 168. Compared to the original model, the thrust coefficient increased by 19%, and the lift-to-drag ratio did not decrease.","url":"https://doi.org/10.21203/rs.3.rs-4229153/v1","authors":["Wenshuai Liu","Wenyong Quan","Junli Wang","Kangjie Wang","Jiahuan Wang","Yilin Mei"],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.21203/rs.3.rs-4229153/v1","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:40:00.188Z"},{"id":"doi:10.1101/2023.11.23.567408","name":"An unmanned aerial vehicle pipeline to estimate body volume at scale for ecological monitoring","source":"preprints","abstract":"Abstract Demographic data are essential to construct mechanistic models to understand how populations change over time and in response to global threats like climate change. Existing demographic data are either lacking or insufficient for many species, particularly those that are challenging to study, such as marine mammals. A pipeline for collecting accurate demographic data to construct robust demographic models at scale would fill this knowledge gap for many species, including marine mammals like pinnipeds (seals, sea lions, and walruses). We introduce a non-invasive pipeline to estimate the 3D body size (volume) of species that will allow monitoring at high spatial and temporal scales. Our pipeline integrates 3D structure-from-motion photogrammetry data collected via planned flight missions using off-the-shelf, multirotor unmanned aerial vehicles (UAVs). We apply and validate this pipeline on the grey seal Halichoerus grypus , a marine species that spends much of its time at sea but is predictably observable during its annual breeding season. We investigate the optimal ground sampling distance (GSD) for surveys by calculating the success rates and accuracy of volume estimates of individuals at different elevations. We establish an optimal GSD of 0.8 cm px -1 for animals similar in size to UK grey seals (∼1.4 - 2.5 m length), making our pipeline reproducible and applicable to a broad range of organisms. Volume estimates were accurate and could be made for up to 68% of hauled-out seals in the study areas. Finally, we highlight six key traits that make a species well-suited to estimating body volume following this pipeline. Good candidates include large reptiles like crocodiles, large mammals such as hippopotamus, and shrubs or bushes in deserts and Mediterranean habitats. Our pipeline accurately estimates individual body volume of marine macrovertebrates in a time-and cost-effective manner whilst minimising disturbance. Whilst the approach is applied to pinnipeds here, the pipeline is adaptable to many different taxa that are otherwise challenging to study. Our proposed approach therefore opens up previously inaccessible areas of the Tree of Life to demographic studies, which will improve our ability to protect and conserve these species into the future.","url":"https://doi.org/10.1101/2023.11.23.567408","authors":["Thomas C Stone","Katrina J Davis"],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2023","doi":"10.1101/2023.11.23.567408","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:39:57.705Z"},{"id":"doi:10.21203/rs.3.rs-5403941/v1","name":"Quantum-inspired gravitational search algorithm-based low-price binary task offloading for multi-users in unmanned aerial vehicle-assisted edge computing systems","source":"europepmc","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-5403941/v1","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.21203/rs.3.rs-5403941/v1","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:39:57.918Z"},{"id":"doi:10.21203/rs.3.rs-3668418/v1","name":"Applying Formal Methods to Build a Safe Continuous-Control Architecture for an Unmanned Aerial Vehicle","source":"preprints","abstract":"Abstract Cyber-Physical Systems (CPS) are systems composed of computational and physical processes where constant interaction with the surrounding environment exists. Unmanned Aerial Vehicles (UAVs) can be highlighted as a typical example of CPS. It contains devices that sense the surrounding environment (e.g., IMU, GPS) and provide data for the embedded continuous-control software to compute the CPS reactions. Such reactions are, in fact, actions in the physical (electro-mechanical) process, which occur using actuators (e.g., motors' speed controllers). Such a CPS is typically classified as safety-critical because a failure might have severe implications. Therefore, providing safety guarantees is of utmost importance when designing this application. This paper presents a solution for offering safety guarantees during the design of the continuous-control architecture, which is one of the most critical parts of the CPS. The present proposal applies formal verification (FV) techniques to detect software errors and verify if the architecture is suitable to cope with the real-time requirements coming from the system specification. The first verification round targets individual elements of the architecture, especially the continuous-control algorithm. Therefore, the ESBMC model checker is used; it receives the element's source code as input and can check for a set of language-specific properties, such as memory safety and concurrency vulnerabilities. After making all the individual analyses and performing subsequent corrections, another verification process is started using the UPPAAL model checker, aiming to make the schedulability analysis of the proposed architecture. Finally, we conduct a runtime monitoring analysis using our recently developed RMLib tool. This proposal was successfully used within the design process of a UAV, where different classes of design and implementation problems were detected and further corrected, as detailed in the paper.","url":"https://doi.org/10.21203/rs.3.rs-3668418/v1","authors":["Leandro Buss Becker","Fernando Silvano Gonçalves","Elton Ferreira Broering","Henrique Amaral Misson","Lucas Cordeiro"],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2023","doi":"10.21203/rs.3.rs-3668418/v1","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:40:00.188Z"},{"id":"doi:10.20944/preprints202406.1146.v1","name":"Three-Dimensional Unmanned Aerial Vehicle Path Planning in Simulated Rugged Mountainous Terrain Using Improved Enhanced Snake Optimizer (IESO)","source":"europepmc","abstract":"","url":"https://doi.org/10.20944/preprints202406.1146.v1","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.20944/preprints202406.1146.v1","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:39:57.918Z"},{"id":"doi:10.21203/rs.3.rs-4008720/v1","name":"Identifying Rice Field Weeds from Unmanned Aerial Vehicle Remote Sensing Imagery Using Deep Learning","source":"preprints","abstract":"Abstract Background Rice field weed object detection can provide key information on weed species and locations for precise spraying, which is of great significance in actual agricultural production. However, facing the complex and changing real farm environments, traditional object detection methods still have difficulties in identifying small-sized, occluded and densely distributed weed instances. To address these problems, this paper proposes a multi-scale feature enhanced DETR network, named MS-DETR. By adding multi-scale feature extraction branches on top of DETR, this model fully utilizes the information from different semantic feature layers to improve recognition capability for rice field weeds in real-world scenarios. Methods Introducing multi-scale feature layers on the basis of the DETR model, we conduct a differentiated design for different semantic feature layers. The high-level semantic feature layer adopts Transformer structure to extract contextual information between barnyard grass and rice plants. The low-level semantic feature layer uses CNN structure to extract local detail features of barnyard grass. Introducing multi-scale feature layers inevitably leads to increased model computation, thus lowering model inference speed. Therefore, we employ a new type of Pconv (Partial convolution) to replace traditional standard convolutions in the model, so as to reduce memory access time and computational redundancy. Results On our constructed rice field weed dataset, compared with the original DETR model, our proposed MS-DETR model improved average recognition accuracy of rice field weeds by 2.8%, reaching 0.792. The MS-DETR model size is 40.8M with inference time of 0.0081 seconds. Compared with three classical DETR models (Deformable DETR, Anchor DETR and DAB-DETR), the MS-DETR model respectively improved average precision by 2.1%, 4.9% and 2.4%. Discussion This model has advantages such as high recognition accuracy and fast recognition speed. It is capable of accurately identifying rice field weeds in complex real-world scenarios, thus providing key technical support for precision spraying and management of variable-rate spraying systems.","url":"https://doi.org/10.21203/rs.3.rs-4008720/v1","authors":["Zhonghui Guo","Dongdong Cai","Yunyi Zhou","Tongyu Xu","Fenghua Yu"],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.21203/rs.3.rs-4008720/v1","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:39:59.807Z"},{"id":"doi:10.21203/rs.3.rs-4000239/v1","name":"Agricultural Unmanned Aerial Vehicle image transmission protection scheme based on hybrid hyperchaos and Bonouille-DCT compressed sensing","source":"preprints","abstract":"Abstract This study introduces the Two-Dimensional Hybrid Chaotic Fourier Series and Nonlinear Coupled Oscillator Model (2- DHOCFSANCOM), which is integrated with compressed sensing technology, aiming to address the challenge of slow encryption speeds in agricultural Unmanned Aerial Vehicles (UAVs). The principal challenge in enhancing encryption speed is the inher- ently limited capacity of traditional chaos-based systems coupled with the complexity of their computational processes. By employing a sophisticated two-dimensional hybrid chaotic system, the 2-DHOCFSANCOM significantly enhances the security of image transmission in agricultural drones. This model surpasses existing chaos-based methods by integrating advanced Fourier series and nonlinear coupled oscillators, achieving improved pseudo-randomness and robustness in encryption. Moreover, incorporating the Bonouille function into the Discrete Cosine Transform (DCT) domain results in a sparser measurement matrix, which is pivotal for enabling efficient real-time encryption. The effectiveness of 2-DHOCFSANCOM in securely encrypting images from agricultural drones has been rigorously validated through simulations and analytical evaluations, employing sophisticated row, rotation, and matrix encryption techniques. Comparative analyses have further confirmed its enhanced safety performance. Compared to other models, the 2-DHOCFSANCOM demonstrates a notably higher Lyapunov exponent of 15.1039 and a sample entropy of 2.5, evidencing its superior chaotic performance and reliability in encryption.","url":"https://doi.org/10.21203/rs.3.rs-4000239/v1","authors":["Lingzhi Zhou","Han Xia","Qingfa Lin","Xin Yang","Xiangwei Zhang","Man Zhou"],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.21203/rs.3.rs-4000239/v1","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:40:00.188Z"},{"id":"doi:10.20944/preprints202306.1241.v1","name":"Decomposition and Modeling of the Situational Awareness of Unmanned Aerial Vehicle for Advanced Air Mobility","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202306.1241.v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2023","doi":"10.20944/preprints202306.1241.v1","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:40:00.189Z"},{"id":"doi:10.21203/rs.3.rs-1959462/v1","name":"Design of an Unmanned Aerial Vehicle for Emergency Situations","source":"preprints","abstract":"Abstract Current research deals with the design, constructions, and prospective applications of a radio-controlled Unmanned Aerial Vehicle (UAV) which was manufactured for the TÜBİTAK UAV TURKEY competition. The motivation behind this research was for possible applications in emergencies (fire, natural disaster, or medical emergencies) due to its remote controllability, maneuverability, and payload carrying capacity. In the conceptual design phase, the individual mission requirements were converted to design requirements, and the UAV's empty weight was estimated after that. Power and wing loading were determined based on the mission profile for the preliminary design. The X-Foil code was then used to compute the aerodynamic efficiency of the airfoil section, after which the wing, fuselage, and empennage were designed. For the detailed design, the structural analysis along the wing span and aircraft performance of the each mission was carried out. Following that, a stability analysis (longitudinal, lateral, and directional) was performed to ensure the UAV's overall stability in the event of any disturbances, and the wing's aerodynamic capabilities were assessed using computational fluid dynamics. Finally, the weight of each component and its corresponding center of gravity (C.G.) were calculated to determine the UAV's most forward and aft centers of gravity.","url":"https://doi.org/10.21203/rs.3.rs-1959462/v1","authors":["Nafiz Ahmed Khan","Nusrat Jahan","Saiaf Bin Rayhan","Md. Abdus Salam"],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2022","doi":"10.21203/rs.3.rs-1959462/v1","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:39:58.777Z"},{"id":"doi:10.20944/preprints202307.0087.v1","name":"Review on Type of Sensors and Detection Method of Anti-Collision System of Unmanned Aerial Vehicle","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202307.0087.v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2023","doi":"10.20944/preprints202307.0087.v1","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:40:00.189Z"},{"id":"doi:10.21203/rs.3.rs-2714558/v1","name":"A multi-objective optimized fuzzy back-stepping controller for a nonlinear unmanned aerial vehicle","source":"preprints","abstract":"Abstract This paper introduces a multi-objective optimized fuzzy back-stepping (FBS) controller to stabilize an unmanned aerial vehicle (UAV) having nonlinear dynamics. At first, the back-stepping (BS) technique is carried out as the main approach to determine the control efforts of the quadcopter. Next, fuzzy systems are appropriately designed to tune the gains of the BS and to reach robustness. Afterwards, to simultaneously minimize the control efforts and system errors, the parameters of the fuzzy formulations are ascertained via multi-objective grey wolf optimization (MOGWO). This strategy is eventually applied on a nonlinear UAV model designed and fabricated in the department of mechanical engineering at Sirjan university of technology. The obtained results are illustrated to prove the effectiveness of the introduced strategy for stabilization of the considered UAV system.","url":"https://doi.org/10.21203/rs.3.rs-2714558/v1","authors":["Mohammad Javad Mahmoodabadi","Nima Rezaee Babak"],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2023","doi":"10.21203/rs.3.rs-2714558/v1","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:39:58.777Z"},{"id":"doi:10.21203/rs.3.rs-2888431/v4","name":"RETRACTED: Optimization of unmanned aerial vehicle application for measuring in complex urban green space with rich landscape value","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-2888431/v4","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2023","doi":"10.21203/rs.3.rs-2888431/v4","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:39:57.705Z"},{"id":"doi:10.22541/au.168983110.08530374/v1","name":"Using Unmanned Aerial Vehicle multispectral data for monitoring outcomes of ecological restoration in mining areas","source":"preprints","abstract":"","url":"https://doi.org/10.22541/au.168983110.08530374/v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2023","doi":"10.22541/au.168983110.08530374/v1","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:39:57.705Z"},{"id":"doi:10.22541/au.169268230.00394190/v1","name":"Unmanned Aerial Vehicle Localization Using Angle of Departure from a Single Base Station and Dead-Reckoning","source":"preprints","abstract":"","url":"https://doi.org/10.22541/au.169268230.00394190/v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2023","doi":"10.22541/au.169268230.00394190/v1","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:39:57.705Z"},{"id":"doi:10.20944/preprints202309.0653.v1","name":"Assessing the Effects of Alcohol Influence on Manual Unmanned Aerial Vehicle Control: An Experimental Study on Flight Capability and Precision","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202309.0653.v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2023","doi":"10.20944/preprints202309.0653.v1","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:39:57.705Z"},{"id":"doi:10.21203/rs.3.rs-3486635/v1","name":"Identification and mapping of Individual Trees from Unmanned Aerial Vehicle Imagery Using an object oriented Convolutional Neural Network","source":"preprints","abstract":"Abstract Precision agriculture (PA) is an agricultural management strategy founded on the observation, measurement and responding to inter/intra-field crop variability. It includes advances in data collection/analysis and management, along with the technological developments in Data storage and retrieval, accurate positioning, yield monitoring and remote sensing. The last provides unprecedented spatial, spectral, and temporal resolution, but can also provide detailed information about the vegetation’s height and various observations. Today, the success of new agricultural technologies has meant that many farming tasks have become automated, and scientists have carried out more studies and companies based on intelligent algorithms that automatically learn decision rules from data. The use of deep learning (DL) and particularly the development and application of some of its algorithms called convolutional neural networks (CNN) is considered a particular success. In the present work, we applied and tested the performance of a simple Convolutional Neural Network to automatically detect and map olive trees from a Phantom4 advanced drone imagery. The workflow involved the image acquisition and the orthomosaic generation with Pix4D software, beside the use of geographical information system and object-based image analyses. The application to a RGB ortho-mosaic of an olive grove, in the east region of Morocco, performed well achieving an overall accuracy of 95.16%.","url":"https://doi.org/10.21203/rs.3.rs-3486635/v1","authors":["Oumaima Ameslek","Hafida Zahir","Soukaina Mitro","El Mostafa Bachaoui"],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2023","doi":"10.21203/rs.3.rs-3486635/v1","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:39:59.808Z"},{"id":"doi:10.22541/au.168422406.65201008/v1","name":"Enhancing Rotary Unmanned Aerial Vehicle (RUAV) Stability in Challenging Wind Conditions: A Reinforcement Learning Approach","source":"preprints","abstract":"Heavy winds hinder the execution of essential tasks for Rotary Unmanned Aerial Vehicles (RUAVs) such as mountain rescue operations or civil engineering assessments during typical Northern Irish winters. This study uses Reinforcement Learning (RL) methods to select controller gains, enhancing RUAV stability under challenging wind conditions, employing a Deep Deterministic Policy Gradient (DDPG) agent over conventional and optimal controllers. The proposed DDPG agent enables the controller to be built as a “Black Box” approach, where the agent can adapt to slight changes or model uncertainty in a real system enabling a more robust controller. Simulations carried out on Full State Feedback, Full State Compensator and Linear Quadratic Gaussian controllers tuned by a variety of techniques revealed that RL out-performed conventional manual tuning by 26% and Particle Swarm Optimization by 19% in performance measured in settling time.","url":"https://doi.org/10.22541/au.168422406.65201008/v1","authors":["Muhammad Usman Hadi","Jack Gibson"],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2023","doi":"10.22541/au.168422406.65201008/v1","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:40:02.906Z"},{"id":"doi:10.21203/rs.3.rs-550807/v2","name":"Pairwise Control In Unmanned Aerial Vehicle Swarm Flocking","source":"preprints","abstract":"Abstract Inspired by the natural phenomenon that pair-bonded jackdaws fly together within a flock, a new cooperative model and control method with pairwise structure in the swarm flocking is proposed to perform proximity missions such as air refueling, data exchange and coordinated operations of two unmanned aerial vehicles in the swarm. A noval square-law error sliding mode surface and variable structure sliding mode controller are proposed, so that any two unmanned aerial vehicles in the swarm could converge to a specified relative distance. Based on this, the distributed control protocol is designed that integrates pairwise distance control and flocking control. It enables unmanned aerial vehicles to be paired in the swarm without disrupting the consensus of the entire swarm. Finally, two theorems are proved by Lyapunov stability theorem. The distance between paired unmanned aerial vehicles is exponentially convergent, and the swarm flocking is collision free. Swarm flight simulations based on particle motion model with number from 20 to 100 are respectively presented, as well as 10 unmanned aerial vehicles swarm flight simulations with quadrotor dynamics model. The simulation experiments have sufficiently verified the effectiveness and accuracy of the method. The results show that distance control could still be achieved in the extreme case that the paired unmanned aerial vehicles are at the farthest corners of the swarm.","url":"https://doi.org/10.21203/rs.3.rs-550807/v2","authors":["Jintao Liu","Ming He","Ling Luo","Qiang Liu","Mingguang Zou"],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2022","doi":"10.21203/rs.3.rs-550807/v2","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:40:02.906Z"},{"id":"doi:10.21203/rs.3.rs-3233792/v1","name":"Three-Dimensional Wideband Non-Stationary Channel Modeling for Unmanned Aerial Vehicle Communication under Flight-Induced Jitter Effects","source":"preprints","abstract":"Abstract In view of the significant impact of flight-induced jitter on the performance of unmanned aerial vehicle (UAV) communication systems, we propose a three-dimensional wideband non-stationary channel model. The model takes into account the line-of-sight (LoS) and non-line-of-sight (NLoS) components in the transmission link from the UAV transmitter to the UAV receiver. Both the transmitter and the receiver are equipped with uniform array antennas. In contrast to previous studies that focus solely on UAV pitch jitter models, the UAV's jitter attitude is simulated as random fluctuations in pitch, azimuth, and roll angles. The rotational jitter is modeled using a sinusoidal random process. Furthermore, derived the typical statistical characteristics of the proposed model, including spatial cross-correlation function(CCFs) and temporal autocorrelation function(ACFs). The numerical simulation results are then compared with those of existing relevant models, demonstrating the effectiveness of the proposed channel model.","url":"https://doi.org/10.21203/rs.3.rs-3233792/v1","authors":["liu rui","Zhou Jie","Xu Lei","Zhou Zilong","Shao Gen-hu"],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2023","doi":"10.21203/rs.3.rs-3233792/v1","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:40:00.187Z"},{"id":"doi:10.21203/rs.3.rs-3343067/v1","name":"Using unmanned aerial vehicle (UAV) with machine vision systems (MVS) to assess fish weight of red tilapia in river cage culture","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-3343067/v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2023","doi":"10.21203/rs.3.rs-3343067/v1","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:39:57.705Z"},{"id":"doi:10.21203/rs.3.rs-3962325/v1","name":"Detection of the invasive tree species Hovenia dulcis Thumb. (Rhamnaceae) in an urban remnant of Atlantic Forest through Remote Sensing techniques combined with RGB images obtained by an unmanned aerial vehicle (UAV)","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-3962325/v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.21203/rs.3.rs-3962325/v1","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:39:57.918Z"},{"id":"doi:10.21203/rs.3.rs-1935684/v1","name":"Unmanned Aerial Vehicle assisted Intelligent approach to Manage the Resources for Defense Systems","source":"preprints","abstract":"Abstract Generally, resources are transported through manned transportation in a distant war zones. The manual transportation of the resources involve various constrains such as time consuming, risk, cost. Efficient management of these limited resources is one of the primary desiring factors to decide the fate of war. Compu-tationally, resource management is an non-deterministic polynomial hard (NP-hard) problem. In this work, several novel resources management algorithms are designed for defence systems by utilization the intelligence of UAV and Jaccard coefficient and Overlap coefficient mathematical support. The intelligent use of Unmanned Aerial Vehicles (UAVs) facilitate resources management in faster, less risky and efficient manner. The proposed UAV assisted resource management algorithms are analyzed and validated over various synthetic simulated war going situations data sets. The proposed algorithms show significant performance in the total service time, utilization of deployed UAVs and number of flights.","url":"https://doi.org/10.21203/rs.3.rs-1935684/v1","authors":["Tarun Biswas","Pokala Anirudh","Ayush Raj","Galla Rupesh","Anjan Kumar Ray"],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2022","doi":"10.21203/rs.3.rs-1935684/v1","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:39:59.807Z"},{"id":"doi:10.20944/preprints202312.0471.v1","name":"Supporting Telemedicine and Community Welfare through Automated Drug Delivery Systems with UAV (Unmanned Aerial Vehicle) and IoT (Internet of Things) Technology: A Case Study in KLU Area","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202312.0471.v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2023","doi":"10.20944/preprints202312.0471.v1","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:39:57.705Z"},{"id":"doi:10.21203/rs.3.rs-1653879/v1","name":"Method of applying Unmanned Aerial Vehicle (UAV) for landslides identification in the Dominican Republic","source":"preprints","abstract":"Abstract Unmanned Aerial Vehicle (UAV) are tools for site recognition, 3D reconstruction, and inspections in risky areas. As manufacturers identify their multiple applications, significant improvements in hardware and software are made, transforming traditional workflows into a digital one. These workflows support the pre- and post-construction of buildings, houses, and infrastructures against the inflictions of natural or human-made disasters. In the Dominican Republic, the construction and maintenance of infrastructure projects are a continuous tasks carried out before natural events. However, the knowledge of “how”, the context, and effectiveness of the tool are still under development, generating techniques and approaches to solve problems easily and faster. Therefore, the aim of this paper is to develop a case in which a human made landslide is evaluated utilising a UAV in contrast to complex site explorations. Three approaches were taken: (1) Images with GPS coordinates for infrastructure location, (2) 3D reconstruction for landslide site measurements and slope recognitions with contour lines, then, (3) videos of the site with 360° approach. 5 elements at risk were identified: houses, road, landslide zone, infrastructure proximity and school. The element evaluated was the landslide zone for identification of the cause. The findings showed that construction works of a bridge in the surroundings was the most remarkable factor that influenced the occurrence of a 60.82° and 52% slope in an average of the steep in the rotational landslide. Furthermore, the UAV was a useful tool for data acquisition.","url":"https://doi.org/10.21203/rs.3.rs-1653879/v1","authors":["Hamlet Reynoso Vanderhorst"],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2022","doi":"10.21203/rs.3.rs-1653879/v1","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:40:05.993Z"},{"id":"doi:10.20944/preprints202202.0185.v1","name":"Unauthorized Unmanned Aerial Vehicle Detection using YOLOv5 and Transfer Learning","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202202.0185.v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2022","doi":"10.20944/preprints202202.0185.v1","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:39:57.705Z"},{"id":"doi:10.21203/rs.3.rs-2623642/v1","name":"Mapping of Road Surface Condition features for Unpaved Roads Through the use of Remotely Sensed Imagery from Unmanned Aerial Vehicle","source":"preprints","abstract":"Abstract Road surface condition evaluation is a critical component for the operation and maintenance of road infrastructure. The situation is more heightened for unpaved roads as they lack protective hard surfaces such as concrete or asphalt. New methods are now emerging for the identification and extraction of road surface condition parameters from remotely sensed imagery. Accordingly, this study illustrates an approach to identify and extract road surface condition parameters from remotely sensed imageries obtained from unpaved roads with unique environmental characteristics. An Unmanned Aerial Vehicle (UAV) was used to capture images on unpaved roads where they were pre-processed, and analysed by building a digital elevation model (DEM) and orthomosaic. The processed imagery was validated with a conventional field measurement of road defects. The number of road defects identified and their severity was similar for both approaches. The defects counts were similar for all except one defect which vary for both approaches. The predictions of the extent of defect severity identified as percent count were exact – vegetation encroachment had the highest 100% and depression had the lowest of 25%. These findings illustrate the potential use of remotely sensed imagery from UAV to identify, extract, and measure road surface condition parameters for unpaved roads. The results can facilitate the monitoring operation of road agencies in the country towards low-cost and effective maintenance of roads.","url":"https://doi.org/10.21203/rs.3.rs-2623642/v1","authors":["Welbeck Oppong-Adu"],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2023","doi":"10.21203/rs.3.rs-2623642/v1","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:39:59.807Z"},{"id":"doi:10.21203/rs.3.rs-1876969/v1","name":"An enhanced YOLOv5 based on Color Harmony Algorithm for object detection in Unmanned Aerial Vehicle captured Images","source":"preprints","abstract":"Abstract Recent improvements in robotics and computer vision enable new camera-equipped drone applications. Aerial Object Detection (OD) is one. Despite recent advances, computer vision OD remains difficult. Due to UAVs' fast speed, different views, and fluctuating altitudes, objects in Unmanned Aerial Vehicle (UAV) photos are heterogeneous, fluctuate in size, and are dense, making OD challenging with existing algorithms. Existing object recognition algorithms perform worse on UAV images because OD in aerial images is more difficult than in ground-taken images. If a generic object detection technique is used to drone-captured images, its performance will be drastically degraded owing to the fact that varied surroundings with complicated background and the size of objects are at the core of this phenomena. In this work, an object detection model CHA-YOLOv5 is proposed. In the proposed system the detection module is optimized using the Color Harmony Algorithm, as it determines the prediction head from the available three prediction heads. CHA-YOLOv5 accurately predicts several bounding boxes per grid cell. The proposed model has been trained using several images from challenging contexts. The experimental results show that the objects are identified accurately using the proposed improved network model in this study. It achieved precision 98.675%, pecall 97.8023%, mAP 97.23%, F1 score 98.50%. Our system outperformed the YOLOV5, ResNet50, VGG19, and InceptionNet V3.","url":"https://doi.org/10.21203/rs.3.rs-1876969/v1","authors":["Chandra Has Singh","Kamal Jain"],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2022","doi":"10.21203/rs.3.rs-1876969/v1","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:39:58.777Z"},{"id":"doi:10.21203/rs.3.rs-1194453/v1","name":"Numerical Investigation of Aerodynamic Characteristics of Wing of Ichoku-18 Unmanned Aerial Vehicle","source":"preprints","abstract":"Abstract An Unmanned Aerial Vehicle (UAV) whose wing consist of a combination of two different airfoils presents opportunity for improve aerodynamic performance; and research in this area has potential for significant innovation. This study employed a Computational Fluid Dynamic (CFD) technique to predict drag and lift coefficients and aerodynamic efficiency of the wing of Ichoku-18 (IU-18) UAV. The wing of the IU-18 UAV consists of two different aerofoil sections, NACA2415 at the root and SD7032 at the tip. The study investigates the aerodynamic characteristics of the wing at different Angle of Attack (AoA), AoA = 0°,4°, 8°, 12°, 16°, 20° and 24°. Using a standard and realizable k-ε turbulence models, the minimum and maximum drag coefficients and aerodynamic efficiencies were obtained at AoA = 0° and AoA = 24°. Both turbulence models predicted the critical angle of attack occurs at AoA = 16°. The results obtained were in agreement with analytical design data of the UAV and findings from the literature. While the standard k-ε turbulence model overpredicted the drag coefficients of the wing of IU-18 UAV, the values predicted by the realizable k-ε turbulence model were in closer agreement with the experimental data. Also, the lift coefficients predicted by the realizable k-ε turbulence model were more realistic and in closer agreement with that obtained analytically. Similarly, while the realizable k-ε turbulence models prediction of the CLmax is in closer agreement with the analytical data, the standard k-ε model underpredicted the variation of aerodynamic efficiency with AoA.","url":"https://doi.org/10.21203/rs.3.rs-1194453/v1","authors":["Abubakar Isah","Mohammed Shariff Lawal","Ibrahim Yahuza","Abdulmajid Na’inna"],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2022","doi":"10.21203/rs.3.rs-1194453/v1","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:39:58.777Z"},{"id":"doi:10.21203/rs.3.rs-624586/v1","name":"Comparison Of Algorithms For Agave Detection On Unmanned Aerial Vehicle Images","source":"preprints","abstract":"Abstract In this study, six supervised classification algorithms were compared. The algorithms were based on cluster analysis, distance, deep learning and object-based image analysis. Our objective was to determine which of these algorithms has the highest overall accuracy in both detection and automated estimation of agave cover in a given area to help growers manage their plantations. An orthomosaic with a spatial resolution of 2.5 cm was derived from 300 images obtained with a DJI Inspire 1 unmanned aerial system. Two training classes were defined: 1) sites where the presence of agaves was identified, 2) “absence”; where there were no agaves but other plants were present. The object-oriented algorithm was found to have the highest overall accuracy (0.963), followed by the support-vector machine with 0.928 accuracy and the neural network with 0.914. The algorithms with statistical criteria for classification were the least accurate; Mahalanobis distance = 0.752 accuracy and minimum distance = 0.421. We recommend that agave plantation managers use drones for their efficiency and speed. We further recommend that the object-oriented algorithm be used, because in addition to having the highest overall accuracy for the image segmentation process, it yields parameters that are useful for estimating the coverage area, size, and shapes, which can aid in better selection of agave individuals for harvest.","url":"https://doi.org/10.21203/rs.3.rs-624586/v1","authors":["Jonathan Gabriel Escobar-Flores","Sarahi Sandoval","Eduardo Gámiz-Romero"],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2021","doi":"10.21203/rs.3.rs-624586/v1","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:39:58.777Z"},{"id":"doi:10.21203/rs.3.rs-1375515/v1","name":"A parallel particle swarm optimization and enhanced sparrow search algorithm for unmanned aerial vehicle path planning","source":"preprints","abstract":"Abstract The path planning problem is that Unmanned aerial vehicle (UAV) needs to plan a feasible path from the starting point to the end point in a specific environment. But it cannot get satisfactory results using ordinary algorithms, to solve this problem, a hybrid algorithm named as PESSA is proposed, where particle swarm optimization (PSO) and an enhanced sparrow search algorithm (ESSA) work in parallel. In the ESSA, the random jump of the producer’s position is strengthened to guarantee the global search ability, each scrounger keeps learning from the optimal experience of the producers, and for the sparrow with the optimal position, when it perceives the danger, the difference between the best individual and the worst individual will be imposed to speed up the search process. And then, the elite reverse search strategy was added to increase the diversity of the population. In this paper, the performance of PESSA is verified by 10 basic functions, the experimental results illustrate that PESSA is better compared with other twelve algorithms. Finally, the proposed PESSA is applied in 4 different scenarios including two groups of 2D environments and two groups of 3D environments. The results show that the PESSA algorithm can acquire more feasible and effective route than compared algorithms.","url":"https://doi.org/10.21203/rs.3.rs-1375515/v1","authors":["Ziwei Wang"],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2022","doi":"10.21203/rs.3.rs-1375515/v1","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:40:08.031Z"},{"id":"doi:10.21203/rs.3.rs-826223/v1","name":"Modified YOLOv4 for real-time Coconut Trees Detection from an Unmanned Aerial Vehicle","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-826223/v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2021","doi":"10.21203/rs.3.rs-826223/v1","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:39:57.705Z"},{"id":"doi:10.21203/rs.3.rs-2016215/v1","name":"Assigning Resistivity Values to Rock Quality Designation indices Using Integrated Unmanned Aerial Vehicle and 2D Electrical Resistivity Tomography in Granitic Rock","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-2016215/v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2022","doi":"10.21203/rs.3.rs-2016215/v1","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:39:57.705Z"},{"id":"doi:10.21203/rs.3.rs-1169494/v1","name":"Wheat Leaf Area Index Prediction Using Data Fusion Based on High-Resolution Unmanned Aerial Vehicle Imagery","source":"preprints","abstract":"Abstract Background: Leaf Area Index (LAI) is half of the amount of leaf area per unit horizontal ground surface area. Consequently, accurate vegetation extraction in remote sensing imagery is critical for LAI estimation. However, most studies do not fully exploit the advantages of Unmanned Aerial Vehicle (UAV) imagery with high spatial resolution, such as not removing the background (soil and shadow, etc.). Furthermore, the advancement of multi-sensor synchronous observation and integration technology allows for the simultaneous collection of canopy spectral, structural, and thermal data, making it possible for data fusion.Methods: To investigate the potential of high-resolution UAV imagery combined with multi-sensor data fusion in LAI estimation. High-resolution UAV imagery was obtained with a multi-sensor integrated MicaSense Altum camera to extract the wheat canopy's spectral, structural, and thermal features. After removing the soil background, all features were fused, and LAI was estimated using Random Forest and Support Vector Machine Regression.Result: The results show that: (1) the soil background reduced the accuracy of the LAI prediction, and soil background could be effectively removed by taking advantage of high-resolution UAV imagery. After removing the soil background, the LAI prediction accuracy improved significantly, R2 raised by about 0.27, and RMSE fell by about 0.476. (2) The fusion of multi-sensor synchronous observation data improved LAI prediction accuracy and achieved the best accuracy (R2 = 0.815 and RMSE = 1.023). (3) When compared to other variables, 23 CHM, NRCT, NDRE, and BLUE are crucial for LAI estimation. Even the simple Multiple Linear Regression model could achieve high prediction accuracy (R2 = 0.679 and RMSE = 1.231), providing inspiration for rapid and efficient LAI prediction.Conclusions: The method of this study can be transferred to other sites with more extensive areas or similar agriculture structures, which will facilitate agricultural production and management.","url":"https://doi.org/10.21203/rs.3.rs-1169494/v1","authors":["Shuang Wu","Lei Deng","Lijie Guo","Yanjie Wu"],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2021","doi":"10.21203/rs.3.rs-1169494/v1","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:39:59.807Z"},{"id":"doi:10.21203/rs.3.rs-1126774/v1","name":"Path Following Control for Miniature Fixed Wing Unmanned Aerial Vehicle Under Uncertainties and Disturbances：A Two-Layered Framework","source":"preprints","abstract":"Abstract In this paper a solution to the path following control problem for miniature fixed wing unmanned aerial vehicle (MAV) in the presence of inaccuracy modelling parameters and environmental disturbances is presented. We introduce a two-layered framework to collaborate guidance level with control level. A modified vector fields based path following methodology is proposed in the kinematics phase to track a Dubins path with straight line segments and circle ones. Then a Proportional-Integral-Derivative (PID) controller based on feedback linearization and gain scheduling techniques is designed such that the MAV can reject nonlinear dynamics, system uncertainties and disturbances by using a robust fuzzy control scheme. Eventually, by giving comparison test with control effort and track error as assessment metrics, both the practicality of the framework and the outperformance of the proposed algorithm are well demonstrated.","url":"https://doi.org/10.21203/rs.3.rs-1126774/v1","authors":["Weinan Wu","Yao Wang","Chunlin Gong","Dan Ma"],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2021","doi":"10.21203/rs.3.rs-1126774/v1","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:39:59.808Z"},{"id":"doi:10.20944/preprints202009.0595.v1","name":"Low-Altitude Atmospheric Turbulence Sounding on the Basis of Unmanned Aerial Vehicle","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202009.0595.v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2020","doi":"10.20944/preprints202009.0595.v1","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:39:57.705Z"},{"id":"doi:10.21203/rs.3.rs-71451/v1","name":"Monitoring the Damage of Armyworm in Summer Corn by Unmanned Aerial Vehicle Imaging","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-71451/v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2020","doi":"10.21203/rs.3.rs-71451/v1","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:39:57.705Z"},{"id":"doi:10.21203/rs.3.rs-24089/v1","name":"Optimization of Unmanned Aerial Vehicle Augmented Ultra-Dense Networks","source":"preprints","abstract":"Abstract In this paper, we study the integration of unmanned aerial vehicle small cells (UAV-SC) for the purpose of augmenting or temporarily restoring service to an ultra-dense cellular network. The aim is to minimize the overall power consumption of the network by jointly optimizing the number of UAV-SCs, their placement, associations and the power allocation, subject to user QoS, transmit power and fronthaul capacity constraints. As the resulting optimization problem is non-convex and computationally inefficient to solve, we investigate lower complexity alternatives. By reformulating the original problem, a linear structure can be obtained that is efficiently solved by off-the-shelf solvers. Furthermore, we also propose a meta-heuristic method that is based on particle swarm optimization. The performance of the proposed methods is evaluated via simulation studies and compared to state-of-the-art techniques. The results illustrate that the proposed methods consistently outperform conventional techniques by deploying fewer UAV-SCs and also lowering the transmit powers. Furthermore, considerable power savings were observed particularly for low QoS demands and dense scenarios.","url":"https://doi.org/10.21203/rs.3.rs-24089/v1","authors":["Alireza Zamani","Robert Kämmer","Yulin Hu","Anke Schmeink"],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2020","doi":"10.21203/rs.3.rs-24089/v1","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:40:08.031Z"},{"id":"doi:10.20944/preprints202105.0006.v1","name":"Developing an Unmanned Aerial Vehicle (UAV) Platform for Real-time Damage Detection and Classification in Buildings and Infrastructure","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202105.0006.v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2021","doi":"10.20944/preprints202105.0006.v1","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:39:57.705Z"},{"id":"doi:10.21203/rs.3.rs-410175/v1","name":"Big Data Tracking and Automatic Measurement Technology for Unmanned Aerial Vehicle Trajectory Based on MEMS Sensor","source":"preprints","abstract":"Abstract Due to the high cost and large error of traditional UAV big data tracking and automatic measurement technology, a method of big data tracking and automatic measurement for UAV trajectory based on MEMS sensor was put forward. The iterative learning control algorithm was used to estimate the repetitive disturbance and modeling error of system based on the simplified dynamics model of four-rotor helicopter and the optimal estimation characteristics of Kalman filter. The discrete equation of quadratic performance function in time domain was selected to compensate the estimated model error disturbance, and then the big data tracking was completed. Based on the data of gyroscope, the quaternion differential equation was established. The differential equation was solved by first-order Picard method, and a set of quaternion data was obtained. The gradient descent method was used to process the acceleration data and magnetic data, and thus to get the optimal quaternion. Finally, the measurement results were obtained by fusing the two quaternions with MEMS sensors. Simulation results prove that the proposed method can obtain the trajectory tracking data and measurement information of UAV accurately.","url":"https://doi.org/10.21203/rs.3.rs-410175/v1","authors":["Jun Xing","Xinzhe Wang","Jie Dong"],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2021","doi":"10.21203/rs.3.rs-410175/v1","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:39:58.777Z"},{"id":"doi:10.21203/rs.3.rs-344860/v1","name":"Prediction of plant-level tomato biomass and yield using machine learning with unmanned aerial vehicle imagery","source":"preprints","abstract":"Abstract Background The objective of this study is twofold. First, ascertain the important variables that predict tomato yields from plant height (PH) and vegetation index (VI) maps. The maps were derived from images taken by unmanned aerial vehicles (UAVs). Second, examine the accuracy of predictions of tomato fresh shoot masses (SM), fruit weights (FW), and the number of fruits (FN) from multiple machine learning algorithms using selected variable sets. To realize our objective, ultra-high-resolution RGB and multispectral images were collected by a UAV on ten days in 2020’s tomato growing season. From these images, 756 total variables, including first- (e.g., average, standard deviation, skewness, range, and maximum) and second-order (e.g., gray-level co-occurrence matrix features and growth rates of PH and VIs) statistics for each plant, were extracted. Several selection algorithms (i.e., Boruta, DALEX, genetic algorithm, least absolute shrinkage and selection operator, and recursive feature elimination) were used to select the variable sets useful for predicting SM, FW, and FN. Random forests, ridge regressions, and support vector machines were used to predict the yield using the top five selected variable sets. Results First-order statistics of PH and VIs collected during the early to mid-fruit formation periods, about one month prior to harvest, were important variables for predicting SM. Similar to the case for SM, variables collected approximately one month prior to harvest were important for predicting FW and FN. Furthermore, variables related to PH were unimportant for prediction. Compared with predictions obtained using only first-order statistics, those obtained using the second-order statistics of VIs were more accurate for FW and FN. Conclusions In addition to basic statistics (e.g., average and standard deviation), we derived second-order statistics of PH and VIs at the plant level using the ultra-high resolution UAV images. Our findings indicated that our variable selection method reduced the number variables needed for tomato yield prediction, improving the efficiency of phenotypic data collection and assisting with the selection of high-yield lines within breeding programs.","url":"https://doi.org/10.21203/rs.3.rs-344860/v1","authors":["Kenichi Tatsumi","Noa Igarashi","Xiao Mengxue"],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2021","doi":"10.21203/rs.3.rs-344860/v1","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:39:58.777Z"},{"id":"doi:10.21203/rs.3.rs-425731/v2","name":"Spatial Dynamic Analysis of A Mangrove Patch Based On Unmanned Aerial Vehicle: A Case Study In Pear Bay In Guangxi, China","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-425731/v2","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2021","doi":"10.21203/rs.3.rs-425731/v2","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:39:57.705Z"},{"id":"doi:10.20944/preprints202010.0174.v1","name":"Feeling of Safety and Comfort Towards a Socially Assistive Unmanned Aerial Vehicle That Monitors People in a Virtual Home","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202010.0174.v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2020","doi":"10.20944/preprints202010.0174.v1","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:39:57.705Z"},{"id":"doi:10.21203/rs.3.rs-1166571/v1","name":"Crop Field Classification using Data Fusion of Unmanned Aerial Vehicle (UAV) and Sentinel 2A satellite: the case of Oda Dhawata Kebele Cluster farmland, Oromia Region, Ethiopia","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-1166571/v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2021","doi":"10.21203/rs.3.rs-1166571/v1","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:39:57.705Z"},{"id":"doi:10.21203/rs.3.rs-67734/v4","name":"Comparison of length and dynamics of wood pieces in streams covered with coniferous and broadleaf forests mapped using orthophotos acquired by an unmanned aerial vehicle","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-67734/v4","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2021","doi":"10.21203/rs.3.rs-67734/v4","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:39:57.705Z"},{"id":"doi:10.21203/rs.3.rs-276598/v1","name":"Remote estimation of leaf area index (LAI) with unmanned aerial vehicle (UAV) imaging for different rice cultivars throughout the entire growing season","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-276598/v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2021","doi":"10.21203/rs.3.rs-276598/v1","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:39:57.705Z"},{"id":"doi:10.20944/preprints202001.0229.v1","name":"An Agent-Based Self-Protective Method to Secure Communication between UAVs in Unmanned Aerial Vehicle Networks","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202001.0229.v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2020","doi":"10.20944/preprints202001.0229.v1","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:40:00.189Z"},{"id":"doi:10.20944/preprints201912.0106.v1","name":"An Innovative Virtual Simulation Teaching Platform on Digital Mapping with Unmanned Aerial Vehicle for Remote Sensing Education","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints201912.0106.v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2019","doi":"10.20944/preprints201912.0106.v1","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:39:57.705Z"},{"id":"doi:10.20944/preprints202101.0255.v1","name":"Canopy Top, Height and Photosynthetic Pigment Estimation Using Parrot Sequoia Multispectral Imagery and the Unmanned Aerial Vehicle (UAV): Norway Spruce Forest Case Study","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202101.0255.v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2021","doi":"10.20944/preprints202101.0255.v1","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:39:57.705Z"},{"id":"doi:10.20944/preprints202608.1359.v1","name":"Autonomous Obstacle Avoidance and Navigation Technologies for Unmanned Aerial Vehicles Based on LiDAR: A Review","source":"europepmc","abstract":"","url":"https://doi.org/10.20944/preprints202608.1359.v1","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.20944/preprints202608.1359.v1","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:40:02.907Z"},{"id":"doi:10.21203/rs.3.rs-9952050/v1","name":"Grey-Wolf-Optimized Obstacle-Aware Affine Formation Control for Quadrotor Swarms in Cluttered Three-Dimensional Space","source":"europepmc","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-9952050/v1","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.21203/rs.3.rs-9952050/v1","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:40:08.031Z"},{"id":"doi:10.1101/365338","name":"Measuring Orangutan nest structure using Unmanned Aerial Vehicle (UAV) and ImageJ","source":"preprints","abstract":"","url":"https://doi.org/10.1101/365338","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2018","doi":"10.1101/365338","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:39:57.705Z"},{"id":"doi:10.20944/preprints201902.0110.v1","name":"Cooperated Routing Problem for Ground Vehicle and Unmanned Aerial Vehicle: The Application on Intelligence, Surveillance and Reconnaissance Missions","source":"preprints","abstract":"In this paper, we present a novel Two-Echelon Ground Vehicle and Its Mounted Unmanned Aerial Vehicle Cooperated Routing Problem (2E-GUCRP). The 2E-GUCRP arises in the field of Unmanned Aerial Vehicle (UAV) Routing Problem such as those encountered in the context of city logistics. In a typical cooperated system, the UAV is launched from the Ground Vehicle (GV) and automatically flies to the designated target. Meanwhile, acting as a mobile base station, the GV can charge or change the UAV&amp;rsquo;s battery on the designated landing points to enable the UAV to continue its mission. The objective is to design efficient GV and UAV routes to minimize the total mission time while meeting the operational constraints. A Mixed Integer Programming (MIP) model, which could be solved by commercial software, is constructed to describe this problem. In order to quickly solve the medium-scale problems, two existing heuristics to solve 2E-VRP are improved. The computational experiments are set up to compare our model with the 2E-VRP. The results indicate that the 2E-GUCRP obtains a better efficiency. Further discussion of the practical instance points out that the increase in efficiency is related to the speed relationship between the GV and the UAV.","url":"https://doi.org/10.20944/preprints201902.0110.v1","authors":["Yao Liu","Zhihao Luo","Zhong Liu","Jianmai Shi","Guangquan Cheng"],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2019","doi":"10.20944/preprints201902.0110.v1","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:39:57.705Z"},{"id":"doi:10.21203/rs.3.rs-8528532/v1","name":"Autonomous Collision Avoidance Decision-Making Method for UAV-USV Based on PD3QN Algorithm","source":"europepmc","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-8528532/v1","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.21203/rs.3.rs-8528532/v1","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:40:02.907Z"},{"id":"doi:10.7287/peerj.preprints.27310v1","name":"The running kinematics of free-roaming giraffes, measured using a low cost unmanned aerial vehicle (UAV)","source":"preprints","abstract":"","url":"https://doi.org/10.7287/peerj.preprints.27310v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2018","doi":"10.7287/peerj.preprints.27310v1","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:39:57.705Z"},{"id":"doi:10.14293/pr2199.004348.v1","name":"Advanced Social Drone Networks for Real-Time Disaster Monitoring, Damage Assessment, and Emergency Response: A Survey","source":"europepmc","abstract":"","url":"https://doi.org/10.14293/pr2199.004348.v1","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.14293/pr2199.004348.v1","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:40:02.907Z"},{"id":"doi:10.20944/preprints201810.0335.v1","name":"Centralized Unmanned Aerial Vehicle (UAV) Mesh Networks Placement Scheme: A Multi-Objective Evolutionary Algorithm Approach","source":"preprints","abstract":"In the past, Unmanned Aerial Vehicles (UAVs) were mostly used in the military operations to prevent pilot losses. Nowadays, the fast technological evolution enables the production of a class of cost-effective UAVs which can service a plethora of public and civilian applications, specially when configured to work cooperatively to accomplish a task. However, designing a communication network among the UAVs is challenging task. In this article, we propose a centralized UAV placement strategy, where UAVs are used as flying access points forming a mesh network, providing connectivity to ground nodes deployed in a target area. The geographical placement of UAVs is optimized based on a Multi-Objective Evolutionary Algorithm (MOEA). The goal of the proposed scheme is to cover all ground nodes using a minimum number of UAVs, while maximizing the fulfillment of their data rate requirements. The UAVs can employ different data rates depending on the channel conditions, which are expressed by the Signal-to-Noise-Ratio (SNR). In this work, elitist Non-Dominated Sorting Genetic Algorithm II (NSGA-II) is used to find a set of optimal positions to place UAVs, given the positions of the ground nodes. We evaluate the trade-off between the number of UAVs used to cover the target area and the data rate requirement of the ground nodes. Simulation results show that the proposed algorithm can optimize the UAV placement given the requirement and the positions of the ground nodes in the geographical area.","url":"https://doi.org/10.20944/preprints201810.0335.v1","authors":["Sérgio Sabino","António Grilo"],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2018","doi":"10.20944/preprints201810.0335.v1","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:40:02.906Z"},{"id":"doi:10.21203/rs.3.rs-8570974/v1","name":"GLFA-Net: A Global-Local Feature Aggregation Network with Hybrid Attention for UAV Vehicle Detection","source":"europepmc","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-8570974/v1","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.21203/rs.3.rs-8570974/v1","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:40:02.907Z"},{"id":"doi:10.21203/rs.3.rs-10412354/v1","name":"UAV-based NDVI assessment of frost impacts on native maize in the Ecuadorian Andes","source":"europepmc","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-10412354/v1","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.21203/rs.3.rs-10412354/v1","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:40:02.907Z"},{"id":"doi:10.20944/preprints202604.0664.v1","name":"Vision-Language-Action (VLA) Models for Unmanned Aerial Robotics and Bimanual Manipulation: A Review","source":"europepmc","abstract":"","url":"https://doi.org/10.20944/preprints202604.0664.v1","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.20944/preprints202604.0664.v1","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:40:02.907Z"},{"id":"doi:10.21203/rs.3.rs-6267765/v1","name":"Multi-UAV Path Planning in 3D based on APF-MADDPG","source":"europepmc","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-6267765/v1","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.21203/rs.3.rs-6267765/v1","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:40:02.907Z"},{"id":"doi:10.21203/rs.3.rs-10790465/v1","name":"Spectral Response of Wheat Straw Residue and Crop Residue Cover Inversion","source":"europepmc","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-10790465/v1","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.21203/rs.3.rs-10790465/v1","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:40:02.907Z"},{"id":"doi:10.20944/preprints202607.2143.v1","name":"5.9 GHz Single Edge-Notch Patch Antenna with Reduced Cross-Polarization Level","source":"europepmc","abstract":"","url":"https://doi.org/10.20944/preprints202607.2143.v1","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.20944/preprints202607.2143.v1","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:40:02.907Z"},{"id":"doi:10.20944/preprints202608.1902.v1","name":"ReSwitch: Risk-Aware Switch-Time Recovery Planning for High-Speed UAV Pursuit-Evasion","source":"europepmc","abstract":"","url":"https://doi.org/10.20944/preprints202608.1902.v1","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.20944/preprints202608.1902.v1","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:40:02.907Z"},{"id":"doi:10.20944/preprints202608.2001.v1","name":"Retrofitting a Conventional Propeller with a Toroidal Tip Ring: Aerodynamic and Acoustic Assessment","source":"europepmc","abstract":"","url":"https://doi.org/10.20944/preprints202608.2001.v1","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.20944/preprints202608.2001.v1","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:40:02.907Z"},{"id":"doi:10.20944/preprints202605.0937.v1","name":"U-Plan: An Integrated Framework for the Coordination and Real-Time Supervision of Heterogeneous Unmanned Aerial Systems","source":"europepmc","abstract":"","url":"https://doi.org/10.20944/preprints202605.0937.v1","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.20944/preprints202605.0937.v1","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:40:02.907Z"},{"id":"doi:10.21203/rs.3.rs-10639177/v1","name":"Second-Order Sliding Mode Control of a Quadrotor UAV Based on a Multi-Channel Decomposition Model","source":"europepmc","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-10639177/v1","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.21203/rs.3.rs-10639177/v1","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:40:02.907Z"},{"id":"doi:10.20944/preprints202608.2000.v1","name":"Toward Blockchain-Assisted Zero-Trust Secure Communication for Decentralized UAV Swarms in GPS-Denied Environments: A Mathematical Security and Scalability Framework","source":"europepmc","abstract":"","url":"https://doi.org/10.20944/preprints202608.2000.v1","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.20944/preprints202608.2000.v1","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:40:08.031Z"},{"id":"doi:10.21203/rs.3.rs-9428133/v1","name":"Fast Convex Model Predictive Trajectory Planning for Robot-Assisted Landings","source":"europepmc","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-9428133/v1","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.21203/rs.3.rs-9428133/v1","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:40:02.907Z"},{"id":"doi:10.20944/preprints202608.1529.v1","name":"A Shoup-Aligned Post-Finalization Single-Round Threshold Schnorr Prototype for UAV Swarms","source":"europepmc","abstract":"","url":"https://doi.org/10.20944/preprints202608.1529.v1","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.20944/preprints202608.1529.v1","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:40:02.907Z"},{"id":"doi:10.21203/rs.3.rs-7892412/v1","name":"Dynamic Lightweight YOLO for UAV-Based Forest Fire Detection\\","source":"europepmc","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-7892412/v1","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.21203/rs.3.rs-7892412/v1","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:40:02.907Z"},{"id":"doi:10.20944/preprints201810.0617.v1","name":"Estimates of the Leaf Area Index Using Unmanned Aerial Vehicle Images of an Urban Mangrove in the Vit&oacute;ria Bay, Brazil","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints201810.0617.v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2018","doi":"10.20944/preprints201810.0617.v1","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:39:57.705Z"},{"id":"doi:10.20944/preprints202608.0731.v1","name":"Control System Design of a Pitch‐Decoupled VTOL UAV Using Reinforcement Learning","source":"europepmc","abstract":"","url":"https://doi.org/10.20944/preprints202608.0731.v1","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.20944/preprints202608.0731.v1","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:40:02.907Z"},{"id":"doi:10.20944/preprints202607.1185.v1","name":"Evaluation of Low-Cost Gas Sensors for UAV-Based Pollution Monitoring: Experimental and CFD Analysis of Rotor-Induced Effects","source":"europepmc","abstract":"","url":"https://doi.org/10.20944/preprints202607.1185.v1","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.20944/preprints202607.1185.v1","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:40:02.907Z"},{"id":"doi:10.21203/rs.3.rs-10812593/v1","name":"Sequence-, Epoch-, and Integrity-Aware Detection of Replay and Peer-Spoofing Attacks in Decentralized UAV Mesh Networks: A Software-Validated Security Framework","source":"europepmc","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-10812593/v1","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.21203/rs.3.rs-10812593/v1","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:40:08.031Z"},{"id":"doi:10.21203/rs.3.rs-10404638/v1","name":"From UAV Images to Semantically Annotated 3D Models: A Keypoint-Guided Vision–Language Model Framework for Infrastructure Inspection","source":"europepmc","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-10404638/v1","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.21203/rs.3.rs-10404638/v1","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:40:02.907Z"},{"id":"doi:10.64898/2026.08.20.745907","name":"Pyramiding panicle-level heat avoidance and grain-level heat tolerance improves rice grain appearance under high-temperature grain 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Metrics","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202604.2113.v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.20944/preprints202604.2113.v1","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:40:02.907Z"},{"id":"doi:10.21203/rs.3.rs-9039478/v1","name":"Integrating Data Mining Methods into Smart Drone Systems for Supporting Visually Impaired Users","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-9039478/v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.21203/rs.3.rs-9039478/v1","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:40:02.907Z"},{"id":"doi:10.20944/preprints202605.0828.v1","name":"Range-Feasibility Blindness in Urban UAV Logistics: A Feasibility-Embedded Location–Routing Framework for Infrastructure Planning","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202605.0828.v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.20944/preprints202605.0828.v1","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:40:02.907Z"},{"id":"doi:10.20944/preprints202605.1854.v1","name":"Mapping Evapotranspiration Patterns in the Desert-Oasis Ecotone Using UAV-Based Thermal Infrared Imagery with a Three-Temperature Model","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202605.1854.v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.20944/preprints202605.1854.v1","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:40:02.907Z"},{"id":"doi:10.20944/preprints202601.0351.v1","name":"Flight Control System for Ultra-Light Aircraft Conversion to VTOL Unmanned Aircraft Vehicle","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202601.0351.v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.20944/preprints202601.0351.v1","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:40:02.907Z"},{"id":"doi:10.21203/rs.3.rs-9175703/v1","name":"Object Localization in Images via Fusion of SFM and YOLO","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-9175703/v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.21203/rs.3.rs-9175703/v1","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:40:02.907Z"},{"id":"doi:10.21203/rs.3.rs-9646324/v1","name":"UAV-based field phenotyping to assess yield-related traits in potato genotypes","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-9646324/v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.21203/rs.3.rs-9646324/v1","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:40:02.907Z"},{"id":"doi:10.20944/preprints202605.1856.v1","name":"Spatio-Temporal Evolution Analysis of Coastline Based on the \"Location-Type\" Model: A Case Study of Huizhou","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202605.1856.v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.20944/preprints202605.1856.v1","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:40:02.907Z"},{"id":"doi:10.21203/rs.3.rs-9189975/v1","name":"UAV-Based Assessment of Landslide Risk in Miraswadi, Western Ghats, India","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-9189975/v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.21203/rs.3.rs-9189975/v1","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:40:02.907Z"},{"id":"doi:10.21203/rs.3.rs-8771811/v1","name":"Hybrid CNN-Transformer Ensemble for Enhanced Tank Detection in Aerial Imagery","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-8771811/v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.21203/rs.3.rs-8771811/v1","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:40:02.907Z"},{"id":"doi:10.21203/rs.3.rs-9449509/v1","name":"Emergence of spatial heterogeneity in crop water stress under soil drying: Evidence from UAV thermal imagery and physiological measurements","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-9449509/v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.21203/rs.3.rs-9449509/v1","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:40:02.907Z"},{"id":"doi:10.64898/2026.04.06.716456","name":"Prediction of late blight severity in a large panel of potato genotypes using low-altitude aerial images and machine learning methods","source":"preprints","abstract":"","url":"https://doi.org/10.64898/2026.04.06.716456","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.64898/2026.04.06.716456","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:40:02.907Z"},{"id":"doi:10.21203/rs.3.rs-9904955/v1","name":"Assessment of Water Quality of Otamiri River Along Selected Reaches Using an Integrated Approach (Including Drone).","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-9904955/v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.21203/rs.3.rs-9904955/v1","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:40:02.907Z"},{"id":"doi:10.20944/preprints202602.1901.v1","name":"Agricultural Intelligence: A Technical Review Within the Perception-Decision-Execution (PDE) Framework","source":"europepmc","abstract":"Artificial intelligence (AI) is transforming modern agriculture from experience-driven practices into data-driven, intelligent production paradigms. Within our proposed Perception-Decision-Execution (PDE) framework, this paper reviews AI technology advances from year 2015 to 2025 for agricultural intelligence. At the Perception level, we highlight progress in environment sensing systems, particularly unmanned aerial vehicle (UAV) and multi-modal monitoring platforms, for crop disease/pest detection, growth monitoring, and abiotic stress assessment. At the Decision level, integration of heterogeneous data sources, including meteorological recordings, soil measurements, remote sensing (RS), and market information, enables advanced analytical tasks, such as yield prediction, early pest/disease warning, precision irrigation and fertilization planning, and crop management optimization. And at the Execution level, agricultural robots equipped with simultaneous localization and mapping (SLAM) and deep reinforcement learning (RL) facilitate precision spraying, autonomous harvesting, and unmanned field operations. Collectively, AI technologies have demonstrate substantial potential across the PDE chain of agricultural production, while significant challenges persist, such as heterogeneous data fusion, limited model generalization across diverse environments, complex system integration, and high hardware and deployment costs. Future directions are discussed from the perspectives of lightweight model design, cross-platform standardization, enhanced human-machine collaboration, and deep integration of emerging AI paradigms to support scalable, robust, and autonomous agricultural intelligence systems.","url":"https://doi.org/10.20944/preprints202602.1901.v1","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.20944/preprints202602.1901.v1","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:40:05.995Z"},{"id":"doi:10.20944/preprints202604.1152.v1","name":"Effects of Cane Density on Floricane Raspberry Assessed Using UAV-Based Multispectral Imaging","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202604.1152.v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.20944/preprints202604.1152.v1","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:40:02.907Z"},{"id":"doi:10.20944/preprints202604.1190.v1","name":"An End-to-End Precision Phenotyping Framework: Rice Panicle Detection and Counting in Complex Fields via Lightweight DETR","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202604.1190.v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.20944/preprints202604.1190.v1","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:40:02.907Z"},{"id":"doi:10.21203/rs.3.rs-9038224/v1","name":"Physics-aware Learnable State Space Model for UAV Trajectory Prediction","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-9038224/v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.21203/rs.3.rs-9038224/v1","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:40:02.907Z"},{"id":"doi:10.21203/rs.3.rs-7478584/v1","name":"Visual inspection of transmission line defects by unmanned aerial vehicles based on convolution algorithm and deep forest network","source":"europepmc","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-7478584/v1","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.21203/rs.3.rs-7478584/v1","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:40:05.995Z"},{"id":"doi:10.21203/rs.3.rs-9207586/v1","name":"Pavement Surface Condition Rating of Flexible Pavement based on Artificial Intelligence based Deep Learning Technique","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-9207586/v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.21203/rs.3.rs-9207586/v1","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:40:02.907Z"},{"id":"doi:10.21203/rs.3.rs-9299929/v1","name":"K–R Residual Analysis for OFDM ISAC: Low-Rank Structure and Sensing Feasibility","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-9299929/v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.21203/rs.3.rs-9299929/v1","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:40:02.907Z"},{"id":"doi:10.21203/rs.3.rs-9093008/v1","name":"Modelling aboveground forest biomass as a continuous distribution using terrestrial and aerial laser scanning: a pathway to enhance the precision of forest biomass estimates","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-9093008/v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.21203/rs.3.rs-9093008/v1","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:40:02.907Z"},{"id":"doi:10.20944/preprints202604.0456.v1","name":"Progressive Static Bending Performance and Damage Tolerance of Composite UAV Wings Under Increasing Tip Displacements","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202604.0456.v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.20944/preprints202604.0456.v1","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:40:02.907Z"},{"id":"doi:10.21203/rs.3.rs-9297239/v1","name":"Cooperative Search Algorithm for UAV Swarm Based on Heterogeneous Sensor Fusion","source":"europepmc","abstract":"Abstract To address the limited robustness of single-sensor detection in complex environments, this paper proposes a cooperative search algorithm for unmanned aerial vehicle (UAV) swarm based on heterogeneous sensor fusion (HS-CS). The algorithm leverages the complementary detection capabilities of visible light and infrared sensors as its core, and establishes a framework tailored to heterogeneous detection characteristics. Initially, the mission area is discretized into a grid, and a four-state map model—comprising undetected, visible-only, infrared-only, and heterogeneous fusion coverage—is constructed. Collaborative update and distributed fusion operators are designed to achieve accurate map updates. Subsequently, dual optimization objectives, total coverage and fusion coverage, are established, and a fast non-dominated sorting approach is employed to derive the Pareto optimal solution set. Finally, a multi-dimensional evaluation index is defined, and a four-stage adaptive evaluation function, integrated with a stochastic exploration mechanism, is developed to determine optimal actions for the UAVs. Simulation results demonstrate that, in a scenario containing 50 targets, 25 of which require fused detection as difficult targets, the proposed algorithm achieves an average fusion coverage rate of 97.5% and an average difficult target detection rate of 98.0% over 20 independent repeated experiments. These values surpass those of the digital pheromone and fixed-weight multi-objective algorithms, validating the improved search efficiency of the proposed method in complex environments.","url":"https://doi.org/10.21203/rs.3.rs-9297239/v1","authors":["Jingzhi Guo","Zhe Li","Zhihao Zhang","Ning Wang","Jialiang Zuo","Yaobo Shang"],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.21203/rs.3.rs-9297239/v1","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:40:09.896Z"},{"id":"doi:10.20944/preprints202605.0758.v1","name":"A Comparative Evaluation of UAV-Based Remote Sensing and Geophysical Techniques for Landmine Detection on a Seeded Minefield","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202605.0758.v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.20944/preprints202605.0758.v1","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:40:02.907Z"},{"id":"doi:10.20944/preprints202603.0070.v1","name":"AeroPinWorld: Revisiting Stride-2 Downsampling for Zero-Shot Transferable Open-Vocabulary UAV Detection","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202603.0070.v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.20944/preprints202603.0070.v1","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:40:02.907Z"},{"id":"doi:10.21203/rs.3.rs-8792151/v1","name":"Comparative Thermomechanical Performance of CFRP and PETG for UAV Structures under Thermal Extremes","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-8792151/v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.21203/rs.3.rs-8792151/v1","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:40:02.907Z"},{"id":"doi:10.21203/rs.3.rs-9501632/v1","name":"Generation of Spatially and Temporally Fine-Resolution Imagery Using STF Algorithms and CACAO Post-Processing","source":"preprints","abstract":"Abstract Spatio-temporal fusion (STF) has been widely used across various remote sensing applications, including environmental monitoring, land cover change detection, and water resource management by integrating multi-sensor data with different spatial and temporal resolutions. The objective of this study was to generate spatially and temporally fine-resolution imagery and to evaluate the performance of multiple STF algorithms and Consistent Adjustment of the Climatology to Actual Observations (CACAO) post-processing for parcel-level crop monitoring. The study was conducted in a soybean field located in Anseong, South Korea, using Planet SuperDove satellite imagery which has 3 m spatial resolution and near-daily temporal resolution, and Phantom 4 Multispectral Unmanned Aerial Vehicle (UAV) data which has 0.05 m spatial resolution, downscaled to target resolution 0.5 m, and 1–4 week irregular temporal resolution. Relative radiometric normalization was applied, followed by the implementation and comparison of four STF algorithms— Enhanced Spatial and Temporal Adaptive Reflectance Fusion Model (ESTARFM), Fitting, spatial Filtering and residual Compensation (FitFC), Flexible Spatiotemporal Data Fusion (FSDAF), and Variation-based Spatiotemporal Data Fusion (VSDF)—within a 4-fold cross-validation framework. CACAO post-processing was then employed to reconstruct temporally continuous NDVI trajectories, from which growth metrics such as Vegetation Growth Metrics (VGM)85 and VGMmax were derived. The validation results indicated that ESTARFM achieved the highest Normalized Difference Vegetation Index (NDVI) performance among the evaluated algorithms, with an Root Mean Square Error (RMSE) of 0.113 and the Universal Image Quality Index (UIQI) of 0.697, and CACAO further improved the results, with CA-ESTARFM providing the highest NDVI accuracy, with an RMSE of 0.108 and a UIQI of 0.740. NDVI histogram and spatial analyses demonstrated that CA-ESTARFM achieved the most consistent agreement with UAV observations while preserving fine-scale spatial heterogeneity. In addition, intra-field vegetation assessment using VGM85 and VGMmax confirmed that CA-ESTARFM enhanced the reliability of crop growth evaluation compared to simple linear interpolation of UAV observations. The proposed framework demonstrates strong potential for applications in comprehensive crop monitoring, precision agriculture management, and yield forecasting.","url":"https://doi.org/10.21203/rs.3.rs-9501632/v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.21203/rs.3.rs-9501632/v1","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:40:02.907Z"},{"id":"doi:10.21203/rs.3.rs-9132561/v1","name":"A feature enhancement and attention fusion network for small object detection in UAV imagery","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-9132561/v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.21203/rs.3.rs-9132561/v1","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:40:02.907Z"},{"id":"doi:10.21203/rs.3.rs-9299659/v1","name":"ARF-YOLO: Attention-Guided Adaptive Resolution-Aware Feature Learning for UAV Remote Sensing Object Detection","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-9299659/v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.21203/rs.3.rs-9299659/v1","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:40:02.907Z"},{"id":"doi:10.20944/preprints202604.1731.v1","name":"RHG-DETR: Riemannian Hyper-Graph Transformerwith Dynamic Receptive Fields for Detecting Special Targets in Degraded UAV Imagery","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202604.1731.v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.20944/preprints202604.1731.v1","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:40:02.907Z"},{"id":"doi:10.20944/preprints202602.0441.v1","name":"Keyframe-Factor-Based Graph Optimization for Efficient Lidar-Inertial Odometry and Mapping","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202602.0441.v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.20944/preprints202602.0441.v1","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:40:02.907Z"},{"id":"doi:10.20944/preprints202604.0813.v1","name":"Experimental Compression Behaviour and Failure Mechanisms of Woven E-Glass and Carbon Fiber Composite Laminates for Lightweight UAV Structural Applications","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202604.0813.v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.20944/preprints202604.0813.v1","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:40:02.908Z"},{"id":"doi:10.21203/rs.3.rs-9010250/v1","name":"MultiAO: A Novel Optimizer Inspired by Collaborative Intelligence in Complex Systems for Delivery Path Planning in UAV Clusters","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-9010250/v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.21203/rs.3.rs-9010250/v1","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:40:02.908Z"},{"id":"doi:10.20944/preprints202508.1963.v1","name":"Adaptive Backstepping Control of an Unmanned Aerial Manipulator","source":"europepmc","abstract":"","url":"https://doi.org/10.20944/preprints202508.1963.v1","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.20944/preprints202508.1963.v1","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:40:05.995Z"},{"id":"doi:10.20944/preprints202601.0845.v1","name":"A Mathematical Framework for Radio Resource Assignment in UAV-Aided Vehicular Communications","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202601.0845.v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.20944/preprints202601.0845.v1","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:40:02.908Z"},{"id":"doi:10.21203/rs.3.rs-8940350/v1","name":"GA-Optimized Consensus Control and Formation Transition for Multi-UAV Systems","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-8940350/v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.21203/rs.3.rs-8940350/v1","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:40:02.908Z"},{"id":"doi:10.21203/rs.3.rs-9015493/v1","name":"Predicting Grain Yield in Wheat Using UAV Multispectral and Ground Based Vegetation Indices","source":"preprints","abstract":"Abstract High-throughput phenotyping using unmanned aerial vehicle (UAV) multispectral imagery offers a promising approach for predicting wheat yields under variable sowing conditions. This study evaluated the effectiveness of UAV-based vegetation indices compared to the GreenSeeker handheld sensor in estimating yield-related traits in 13 bread wheat genotypes. UAV-based multispectral indices— Normalized Difference Vegetation Index (NDVI), Green Normalized Difference Vegetation Index (GNDVI), Red-edge Normalized Difference Vegetation Index (RNDVI and simple ratio (SR) were captured using a MicaSense sensor at two growth stages [52 and 79 days after sowing (DAS) for timely sown; 16 and 43 DAS for late sown]. Simultaneously, NDVI was recorded using a GreenSeeker handheld sensor for direct comparison with UAV-derived NDVI. UAV-derived indices showed consistently stronger correlations with biological yield (BY), grain yield (GY), and thousand grain weight (TGW), particularly during the anthesis stage. GNDVI and SR emerged as the most predictive indices for BY and GY, while TGW showed stronger associations with early-stage indices. GreenSeeker NDVI correlations were weaker and less consistent across growth stages and sowing conditions. Genotypes such as Phule Samadhan, MACS 2496, and GS 4042 exhibited superior adaptability under late-sown heat stress, maintaining higher vegetation index values throughout. UAV-based multispectral imaging outperformed the handheld sensor in predicting key yield traits and detecting inter-genotypic variation under stress. Statistical and multivariate analyses (ANOVA, PCA, and heatmap visualization) revealed distinct inter-genotypic variability in vegetation indices, effectively distinguishing high-vigor and stress-susceptible wheat genotypes under varying sowing environments. These findings highlight UAV-based multispectral imaging as a robust, efficient, and scalable phenotyping tool for identifying stress-tolerant and high-yielding genotypes, underscoring the importance of phenological timing and optimal index selection in breeding and precision agriculture.","url":"https://doi.org/10.21203/rs.3.rs-9015493/v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.21203/rs.3.rs-9015493/v1","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:40:02.908Z"},{"id":"doi:10.20944/preprints202603.0355.v1","name":"UAV-Based Remote Sensing and Artificial Intelligence for Climate-Smart Agriculture: A Systematic Review of Technologies, Analytics, and Applications in Smallholder Systems","source":"europepmc","abstract":"","url":"https://doi.org/10.20944/preprints202603.0355.v1","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.20944/preprints202603.0355.v1","addedAt":"2026-08-31T06:39:56.493Z","updatedAt":"2026-08-31T06:40:02.908Z"},{"id":"doi:10.1109/uvs59630.2024.10467152","name":"Faster Image Deblurring for Unmanned Aerial Vehicles","source":"crossref","abstract":"","url":"https://doi.org/10.1109/uvs59630.2024.10467152","authors":["Viktor Sineglazov","Kyrylo Lesohorskyi","Olena Chumachenko"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-03-20T18:13:25Z","doi":"10.1109/uvs59630.2024.10467152","addedAt":"2026-08-31T06:39:56.625Z","updatedAt":"2026-08-31T06:40:02.531Z"},{"id":"doi:10.36227/techrxiv.170975064.43115762/v1","name":"Understanding and Securing Unmanned Aerial Vehicle (UAV) Services: A Comprehensive Tutorial","source":"crossref","abstract":"Unmanned Aerial Vehicles (UAVs), commonly known as drones, have found applications in various fields in recent years. However, along with their proliferation, security and privacy attacks have also increased. Nearby or even remote attackers may interfere with their electronic systems to take control of UAVs or alter their operations. In addition, UAVs equipped with sensors may be abused by their operators to trigger privacy attacks, such as spying or monitoring of individuals. The aim of this tutorial is to assist the reader in gaining a fundamental understanding and practical knowledge of security and privacy threats, attacks and mitigation controls for UAVs. Initially, we provide a description of the underlying technologies, architectures and applications of UAVs. Then we dive into security and privacy attacks and countermeasures. We analyze the various risks and cyberattacks that may arise, as well as the possible ways through which organizations and individuals may address the challenges presented by the malicious use of UAVs. As our main goal is to provide the reader with both theoretical and technical knowledge on UAV security, we describe a step-by-step security assessment methodology for UAV applications. The methodology which is based on well-known security standards may help the interested reader in gaining a holistic view of a security assessment, starting from threat modeling and going through penetration testing to security management. Finally, to showcase the methodology, we apply it in a practical, hands-on scenario, demonstrating the identification of attack paths against UAVs and the implementation of appropriate mitigation controls.","url":"https://doi.org/10.36227/techrxiv.170975064.43115762/v1","authors":["Ioannis Anagnostis","Panayiotis Kotzanikolaou","Christos Douligeris"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-03-06T13:44:07Z","doi":"10.36227/techrxiv.170975064.43115762/v1","addedAt":"2026-08-31T06:39:56.625Z","updatedAt":"2026-08-31T06:40:02.531Z"},{"id":"doi:10.2139/ssrn.5009867","name":"High Fidelity Computational Aerodynamics of Micro Unmanned Aerial Vehicle Propeller","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.5009867","authors":["Alexis Dorange","Christophe Benoit","Eric Garnier"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-11-05T05:38:05Z","doi":"10.2139/ssrn.5009867","addedAt":"2026-08-31T06:39:56.625Z","updatedAt":"2026-08-31T06:40:02.531Z"},{"id":"doi:10.32743/unitech.2024.118.1.16657","name":"APPLICATION OF UNMANNED AERIAL VEHICLE TECHNOLOGIES IN CONSTRUCTION","source":"crossref","abstract":"","url":"https://doi.org/10.32743/unitech.2024.118.1.16657","authors":["Denis Popov"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-03-05T03:55:21Z","doi":"10.32743/unitech.2024.118.1.16657","addedAt":"2026-08-31T06:39:56.625Z","updatedAt":"2026-08-31T06:40:02.531Z"},{"id":"doi:10.2514/6.2024-1696","name":"Simulation-Based Analysis of Multirotor Unmanned Aerial Vehicle Landings on a Moving Ground Vehicle","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2024-1696","authors":["Adam W. Garlow","Jonathan Rogers"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-01-30T01:47:01Z","doi":"10.2514/6.2024-1696","addedAt":"2026-08-31T06:39:56.625Z","updatedAt":"2026-08-31T06:40:02.906Z"},{"id":"doi:10.32604/cmc.2024.048998","name":"Unmanned Aerial Vehicles General Aerial Person-Vehicle Recognition Based on Improved YOLOv8s Algorithm","source":"crossref","abstract":"","url":"https://doi.org/10.32604/cmc.2024.048998","authors":["Zhijian Liu"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-03-12T07:08:02Z","doi":"10.32604/cmc.2024.048998","addedAt":"2026-08-31T06:39:56.625Z","updatedAt":"2026-08-31T06:40:05.993Z"},{"id":"doi:10.1002/eng2.12852/v2/review2","name":"Review for \"Autopilot control unmanned aerial vehicle system for sewage defect detection using deep learning\"","source":"crossref","abstract":"","url":"https://doi.org/10.1002/eng2.12852/v2/review2","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-01-31T16:14:09Z","doi":"10.1002/eng2.12852/v2/review2","addedAt":"2026-08-31T06:39:56.625Z","updatedAt":"2026-08-31T06:40:02.531Z"},{"id":"doi:10.1109/educon60312.2024.10578890","name":"Design Education in Additive Manufacturing Using Unmanned Aerial Vehicle","source":"crossref","abstract":"","url":"https://doi.org/10.1109/educon60312.2024.10578890","authors":["Stefan Junk"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-07-08T17:23:24Z","doi":"10.1109/educon60312.2024.10578890","addedAt":"2026-08-31T06:39:56.625Z","updatedAt":"2026-08-31T06:40:05.993Z"},{"id":"doi:10.1109/elmar62909.2024.10694237","name":"Hangar System for Unmanned Aerial Vehicle Autonomous Missions","source":"crossref","abstract":"","url":"https://doi.org/10.1109/elmar62909.2024.10694237","authors":["Ariane Heller","Reda Harradi","Wolfram Hardt"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-10-04T17:32:07Z","doi":"10.1109/elmar62909.2024.10694237","addedAt":"2026-08-31T06:39:56.625Z","updatedAt":"2026-08-31T06:40:02.906Z"},{"id":"doi:10.1007/978-3-031-45321-2","name":"Unmanned Aerial Vehicle Design and Technology","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-031-45321-2","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-11-17T17:03:08Z","doi":"10.1007/978-3-031-45321-2","addedAt":"2026-08-31T06:39:56.625Z","updatedAt":"2026-08-31T06:40:02.906Z"},{"id":"doi:10.1002/eng2.12852/v2/decision1","name":"Decision letter for \"Autopilot control unmanned aerial vehicle system for sewage defect detection using deep learning\"","source":"crossref","abstract":"","url":"https://doi.org/10.1002/eng2.12852/v2/decision1","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-01-31T16:14:09Z","doi":"10.1002/eng2.12852/v2/decision1","addedAt":"2026-08-31T06:39:56.625Z","updatedAt":"2026-08-31T06:40:05.992Z"},{"id":"doi:10.1201/9781003500865-7","name":"Unmanned aerial vehicle","source":"crossref","abstract":"","url":"https://doi.org/10.1201/9781003500865-7","authors":["Bhupinder Singh","Christian Kaunert"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-07-15T13:53:07Z","doi":"10.1201/9781003500865-7","addedAt":"2026-08-31T06:39:56.625Z","updatedAt":"2026-08-31T06:40:05.992Z"},{"id":"doi:10.1109/icuas60882.2024.10556952","name":"Field Report: Integration of a Parachute Rescue System into an Existing Unmanned Aerial Vehicle","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icuas60882.2024.10556952","authors":["Stefan Krause","Sebastian Cain","David Peters"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-06-19T17:22:59Z","doi":"10.1109/icuas60882.2024.10556952","addedAt":"2026-08-31T06:39:56.625Z","updatedAt":"2026-08-31T06:40:00.188Z"},{"id":"doi:10.1109/icus61736.2024.10839936","name":"Detection Model for Small Vehicle Targets from Unmanned Aerial Vehicle Perspectives","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icus61736.2024.10839936","authors":["Jiaqi Wang","Yuhang Wang","Zhiyi Ye","Yushun Lin","Zhanyong Wang","Jiangang Guo"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-01-22T18:45:23Z","doi":"10.1109/icus61736.2024.10839936","addedAt":"2026-08-31T06:39:56.625Z","updatedAt":"2026-08-31T06:40:02.906Z"},{"id":"doi:10.18196/eist.v5i2.24837","name":"Mobile Surveillance System using Unmanned Aerial Vehicle for Aerial Imagery","source":"crossref","abstract":"Crowd counting plays a vital role in public safety, particularly during riot scenarios where understanding crowd dynamics is crucial for effective decision-making and risk mitigation. Accurate crowd estimation in such environments enables authorities to monitor the situation in real time, allocate resources efficiently, and prevent potential escalations. However, counting individuals in a riot scenario presents unique challenges due to the chaotic nature of the scene, varying crowd densities, and obstructions caused by movement and environmental factors. Traditional methods struggle to provide reliable results in these conditions, necessitating advanced solutions. This study explores the implementation of CSRNet (Congested Scene Recognition Network), a state-of-the-art deep learning model, to address crowd counting in challenging environments characterized as \"images in the wild.\" CSRNet’s ability to leverage dilated convolutions allows it to effectively capture contextual information and handle high crowd densities without sacrificing spatial resolution. We evaluate the model’s performance on diverse datasets, including aerial imagery and real-world riot scenarios, focusing on its adaptability to dynamic, unstructured environments. The results demonstrate the potential of CSRNet to provide accurate crowd density estimates under adverse conditions, offering critical insights for public safety applications. By addressing the technical challenges of implementing CSRNet in these contexts, this study contributes to the advancement of deep learning-based crowd counting, emphasizing its significance in real-world scenarios such as riots and other high-stakes events. Future work aims to further enhance the model's robustness and applicability to diverse operational settings.","url":"https://doi.org/10.18196/eist.v5i2.24837","authors":["Muhamad Amirul Haq"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-12-05T03:59:10Z","doi":"10.18196/eist.v5i2.24837","addedAt":"2026-08-31T06:39:56.625Z","updatedAt":"2026-08-31T06:40:05.993Z"},{"id":"doi:10.2514/6.2024-0748","name":"Development of a Custom Ground Control Station for Unmanned Aerial Vehicle Swarming","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2024-0748","authors":["Nitesh Kumar","Mangal Kothari"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-01-29T21:43:20Z","doi":"10.2514/6.2024-0748","addedAt":"2026-08-31T06:39:56.625Z","updatedAt":"2026-08-31T06:39:56.625Z"},{"id":"doi:10.1108/ijius-03-2023-0026","name":"A comparative evaluation of multi-criteria decision-making framework for armed unmanned aerial vehicle","source":"crossref","abstract":"Purpose This study focuses on the selection of armed unmanned aerial vehicles (AUAV), which have recently taken an important place on the world agenda, are used effectively in the defense industry and change the war systems of countries. This study aims to select the most suitable armed AUAV by using and comparing multi-criteria decision-making (MCDM) methods. Design/methodology/approach There are various types of (unmanned aerial vehicles) UAVs, and some of them are Armed UAVs. This study used the criteria obtained from the market and previous UAV studies and ranked/selected various AUAVs produced in line with the determined criteria. The AHP method was used to prioritize the criteria, and the PROMETHEE method, a powerful ranking method, was used to rank/select the alternatives. Findings By the expert judgments, the payload capacity (28.2%) criteria took first rank by far as the most important criteria. The AUAV alternatives are listed as 1-6-5-2-7-3-4, respectively. Practical implications UAVs around the world have been showing significant and rapid developments recently, and those concerned closely follow developments in this field. Depending on the development of the aviation industry and technology, UAVs provide services to individuals or institutions in various ways for civil or military use. Originality/value The difference from similar studies is the research of Armed UAVs. Sensitivity analysis was performed and alternatives were analyzed by their weights. Comparisons were made using the MEREC, LOPCOW, and ELECTRE methods.","url":"https://doi.org/10.1108/ijius-03-2023-0026","authors":["Nuh Keleş"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-08-13T01:24:09Z","doi":"10.1108/ijius-03-2023-0026","addedAt":"2026-08-31T06:39:56.626Z","updatedAt":"2026-08-31T06:39:57.704Z"},{"id":"doi:10.1109/apuavd64488.2024.10765881","name":"Software and Hardware Complex for Automatic Geotagging of Photographs Taken from an Unmanned Aerial Vehicle","source":"crossref","abstract":"","url":"https://doi.org/10.1109/apuavd64488.2024.10765881","authors":["Oleksandr Hrichaniuk","Mykola Svitenko","Yurii Krykhtin","Yurii Ahafonov","Andrii Avilov","Maksym Kapashyn"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-01-10T19:53:12Z","doi":"10.1109/apuavd64488.2024.10765881","addedAt":"2026-08-31T06:39:56.626Z","updatedAt":"2026-08-31T06:40:00.188Z"},{"id":"doi:10.1007/978-981-97-6266-8_3","name":"Unmanned Aerial Vehicle Networks","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-981-97-6266-8_3","authors":["Minwei Shi","Kai Yang","He Zhou"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-09-15T13:02:02Z","doi":"10.1007/978-981-97-6266-8_3","addedAt":"2026-08-31T06:39:56.626Z","updatedAt":"2026-08-31T06:39:56.626Z"},{"id":"doi:10.3390/app14072769","name":"Manhole Cover Classification Based on Super-Resolution Reconstruction of Unmanned Aerial Vehicle Aerial Imagery","source":"crossref","abstract":"Urban underground pipeline networks are a key component of urban infrastructure, and a large number of older urban areas lack information about their underground pipelines. In addition, survey methods for underground pipelines are often time-consuming and labor-intensive. While the manhole cover serves as the hub connecting the underground pipe network with the ground, the generation of underground pipe network can be realized by obtaining the location and category information of the manhole cover. Therefore, this paper proposed a manhole cover detection method based on UAV aerial photography to obtain ground images, using image super-resolution reconstruction and image positioning and classification. Firstly, the urban image was obtained by UAV aerial photography, and then the YOLOv8 object detection technology was used to accurately locate the manhole cover. Next, the SRGAN network was used to perform super-resolution processing on the manhole cover text to improve the clarity of the recognition image. Finally, the clear manhole cover text image was input into the VGG16_BN network to realize the manhole cover classification. The experimental results showed that the manhole cover classification accuracy of this paper’s method reached 97.62%, which verified its effectiveness in manhole cover detection. The method significantly reduces the time and labor cost and provides a new method for manhole cover information acquisition.","url":"https://doi.org/10.3390/app14072769","authors":["Dejiang Wang","Yuping Huang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-03-26T11:34:58Z","doi":"10.3390/app14072769","addedAt":"2026-08-31T06:39:56.626Z","updatedAt":"2026-08-31T06:40:05.993Z"},{"id":"doi:10.1007/978-981-96-3240-4_58","name":"Water Surface Departure Control of Aquatic-Aerial Amphibious Tiltrotors Unmanned Underwater Vehicle","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-981-96-3240-4_58","authors":["Yujia Huo","Jinchao Xiao"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-03-17T06:45:38Z","doi":"10.1007/978-981-96-3240-4_58","addedAt":"2026-08-31T06:39:56.626Z","updatedAt":"2026-08-31T06:40:02.905Z"},{"id":"doi:10.57033/tdtu.uz.vi273","name":"INTELLIGENT COMPLEX MONITORING SYSTEM USING UNMANNED AERIAL  VEHICLES","source":"crossref","abstract":"In this paper, a structural-functional model of a high-level intelligent complex monitoring system, which performs ground and remote monitoring, has been developed to assess the condition of areas exposed to pollution as a result of various natural and anthropogenic effects. Since fuel-energy enter-prises are considered one of the most widespread pollution sources, and taking into account the fact that these enterprises cover large areas of land, the operational monitoring of these areas with their immediate surrounding natural environment and residential areas has always been an important and urgent issue. An intelligent complex monitoring system model has been developed to solve these issues. The intelligent system is characterized by the ability to control the power supply, navigation of the drone system, and the top-down measurement system. The intelligent integrated monitoring system based on ground measurements and remote measurements, allowing for assessment of the object’s condition has been proposed, and the effect of external factors and different technical characteristics on the monitoring system has been studied. The effect of UAVs’ ground and renewable power sources, flight altitude, and atmospheric effects on the results of top-down monitoring systems have been studied and solutions using Fuzzy Logic to reduce these negative effects have been developed. A simulation model to estimate these pollution levels has been built in the Matlab environment using Fuzzy Logic Designer, and based on the data obtained from the monitoring system, the system is capable of quick decision-making.","url":"https://doi.org/10.57033/tdtu.uz.vi273","authors":["Lala Bekirova"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-12-23T13:05:55Z","doi":"10.57033/tdtu.uz.vi273","addedAt":"2026-08-31T06:39:56.626Z","updatedAt":"2026-08-31T06:39:56.626Z"},{"id":"doi:10.2139/ssrn.4861406","name":"Unmanned Aerial Vehicle Navigation with Event Cameras","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.4861406","authors":["David Tejero-Ruiz","David Solís-Martín","Francisco J. Pérez-Grau","Juan Galan-Paez"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-06-11T16:55:32Z","doi":"10.2139/ssrn.4861406","addedAt":"2026-08-31T06:39:56.626Z","updatedAt":"2026-08-31T06:40:00.188Z"},{"id":"doi:10.5772/intechopen.1002438","name":"Implementation of a Hybrid Power Testbed Model of a Hybrid Electric Unmanned Aerial Vehicle","source":"crossref","abstract":"Testbeds form an essential aspect in the construction of a Hybrid – Electric Unmanned Aerial Vehicle (HE – UAV)/Aircraft. Such testbeds have never been developed before even though a model of the HE – UAV was developed. This article explores the feasibility of implementing a prototype of a (HE – UAV) testbed. Several research papers in the domain were thoroughly explored and the results were grouped based on similar research findings. The grouping was done in terms of the sizing result achieved by each author, the UAV class used, the hybrid powertrain specifications of the components, and the testbed equipment used to construct the HE – UAV testbed. The result from this research shows that a HE – UAV testbed can be achieved if stringent measures are done in determining the size of the component for a given drone size and a careful selection of the components from the sizing result for the testbed construction.","url":"https://doi.org/10.5772/intechopen.1002438","authors":["Lionel Fouellefack"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-02-08T09:15:06Z","doi":"10.5772/intechopen.1002438","addedAt":"2026-08-31T06:39:56.626Z","updatedAt":"2026-08-31T06:40:00.188Z"},{"id":"doi:10.2139/ssrn.4824225","name":"Assessment and Management of Urban Flood Risk Based on Unmanned Aerial Vehicle Photogrammetry and Swat Model","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.4824225","authors":["Lizhou Wu","Hua Li"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-05-10T19:17:52Z","doi":"10.2139/ssrn.4824225","addedAt":"2026-08-31T06:39:56.626Z","updatedAt":"2026-08-31T06:39:57.704Z"},{"id":"doi:10.35808/ersj/3685","name":"Using Unmanned Aerial Vehicle in the Energy Sector","source":"crossref","abstract":"","url":"https://doi.org/10.35808/ersj/3685","authors":["Mateusz Lewinski"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-12-14T13:57:15Z","doi":"10.35808/ersj/3685","addedAt":"2026-08-31T06:39:56.626Z","updatedAt":"2026-08-31T06:39:56.626Z"},{"id":"doi:10.1109/cac63892.2024.10865275","name":"Deep Reinforcement Learning Based Information Age Minimization for Unmanned Aerial Vehicle Data Collection","source":"crossref","abstract":"","url":"https://doi.org/10.1109/cac63892.2024.10865275","authors":["LeWei Ai","Junjie Fu"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-02-13T18:29:08Z","doi":"10.1109/cac63892.2024.10865275","addedAt":"2026-08-31T06:39:56.626Z","updatedAt":"2026-08-31T06:39:56.626Z"},{"id":"doi:10.24425/ijet.2024.149605","name":"Implementation of Doppler-Based Location Sensor on Unmanned Aerial Vehicle","source":"crossref","abstract":"The article presents the first implementation of the Signal Doppler Frequency (SDF) location method on an Unmanned Aerial Vehicle (UAV) named Autonomous System of Location radio EmmiteRs (ASLER), employing a DJI Matrice UAV as its mobile platform for the radio sensor. The system is used for position estimation, i.e., determining the location coordinates of localized radio emitters. Such functionality is the basis of radio reconnaissance, electronic warfare, or combat systems, and many radio navigation systems. The ASLER localization procedure is based on the Doppler localization method, also known as the SDF. Its distinctive feature is the use of a single moving platform for localization. In addition, the SDF allows simultaneous localization of multiple emission sources, which is an innovative distinction compared to other solutions of this class. ASLER is the first autonomous implementation of the SDF method on a flying platform. This paper illustrates the hardware and software implementation of location sensor, and results of the first empirical studies.","url":"https://doi.org/10.24425/ijet.2024.149605","authors":["Rafał Szczepanik"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-07-25T11:35:59Z","doi":"10.24425/ijet.2024.149605","addedAt":"2026-08-31T06:39:56.626Z","updatedAt":"2026-08-31T06:39:57.704Z"},{"id":"doi:10.1515/jag-2024-0072","name":"Unmanned aerial vehicle-based aerial survey of mines in Shanxi Province based on image data","source":"crossref","abstract":"Abstract Accurately monitoring the change of mine area in the mining process is beneficial to mine safety management. This paper briefly introduces the collection of remote sensing images by unmanned aerial vehicles (UAVs) and its application in measuring surface mining subsidence and surrounding vegetation in the mining area. A case study was carried out in some mining areas of Nanshan Mountain, Yuncheng City, Shanxi Province. The surface mining subsidence value and vegetation-related parameters were measured by comparing the digital elevation model and multi-spectral images collected on May 12 and June 12, 2023. The validity experiment verified that the UAV image data could be used to measure the mining subsidence and vegetation parameters. Moreover, it was found that mining underground coal could lead to significant ground subsidence and pollute the surrounding environment, reducing vegetation. The innovation of this article lies in using UAV-collected remote sensing images instead of manually collecting ground elevation data and vegetation distribution data, providing effective references for safe mining in mining areas.","url":"https://doi.org/10.1515/jag-2024-0072","authors":["Xuanjie Wang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-10-01T17:17:28Z","doi":"10.1515/jag-2024-0072","addedAt":"2026-08-31T06:39:56.626Z","updatedAt":"2026-08-31T06:40:02.531Z"},{"id":"doi:10.2139/ssrn.4940914","name":"An Efficient Detector for Maritime Search and Rescue Object Based on Unmanned Aerial Vehicle Images","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.4940914","authors":["wanxuan geng","junfan yi","liang cheng"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-08-29T21:48:10Z","doi":"10.2139/ssrn.4940914","addedAt":"2026-08-31T06:39:56.626Z","updatedAt":"2026-08-31T06:39:57.704Z"},{"id":"doi:10.1109/robot61475.2024.10796952","name":"Camera Lidar Fusion for Unmanned Aerial Vehicle Detection","source":"crossref","abstract":"","url":"https://doi.org/10.1109/robot61475.2024.10796952","authors":["Cosimo Leuci","Sedat Dogru","Lino Marques"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-12-23T19:10:37Z","doi":"10.1109/robot61475.2024.10796952","addedAt":"2026-08-31T06:39:56.626Z","updatedAt":"2026-08-31T06:39:56.626Z"},{"id":"doi:10.2139/ssrn.4912102","name":"Attention Enhanced Feature Fusion Network for Multi-Scale Unmanned Aerial Vehicle Object Detection","source":"crossref","abstract":"Abstract: The rapid advancement of unmanned aerial vehicle (UAV) technology has markedly increased the use of drone-captured imagery across various applications, necessitating enhanced accuracy and real-time performance in UAV image detection. Addressing the specific challenges posed by small and densely distributed objects in such images, we introduce an Attention Enhanced Feature Fusion Network (AEFFNet) designed specifically for multi-scale object detection in UAV imagery. Firstly, a hybrid attention module with associated multi-axis frequency and spatial attention is designed to enhance the feature extraction of small objects. Secondly, an adjacent layer feature fusion network is innovatively proposed in the feature fusion part, in order to boost the detection capabilities for small and occluded objects. Finally, a series experiments are conducted on the VisDrone2023 dataset, which involves a large number of small objects photographed by drones. Our evaluations, conducted on the VisDrone2023 dataset, demonstrate substantial improvements over the YOLOv8m baseline model, with a 3.0% increase in mean Average Precision (mAP) and a 4.4% rise in AP50.","url":"https://doi.org/10.2139/ssrn.4912102","authors":["Zhaoyu Nian","Wenzhu Yang","Hao Chen","Guoyu Zhou"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-07-31T13:21:15Z","doi":"10.2139/ssrn.4912102","addedAt":"2026-08-31T06:39:56.626Z","updatedAt":"2026-08-31T06:39:56.626Z"},{"id":"doi:10.1109/ic3se62002.2024.10593070","name":"Towards Autonomy in Unmanned Aerial Vehicle: Taxonomy and Applications","source":"crossref","abstract":"","url":"https://doi.org/10.1109/ic3se62002.2024.10593070","authors":["Geeta Sharma","Sanjeev Jain"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-07-23T17:26:54Z","doi":"10.1109/ic3se62002.2024.10593070","addedAt":"2026-08-31T06:39:56.626Z","updatedAt":"2026-08-31T06:39:56.626Z"},{"id":"doi:10.1063/5.0229772","name":"Numerical simulation analysis of droplet spraying by an agricultural hybrid wing unmanned aerial vehicle","source":"crossref","abstract":"Agricultural Unmanned Aerial Vehicles (UAVs) mainly leverage the downwash airflow generated by rotors for spraying. However, due to the inherent instability of the downwash airflow, there may be droplet drift problems. Computational fluid dynamics is used to investigate the behavior of droplet deposition in the downwash flow field of an agricultural hybrid wing UAV under different operating conditions. The results indicate that as the height increases, the deposition distribution of droplets becomes more uniform, and the drift problem is also improved. Compared with the quadrotor UAV, hybrid wing UAVs have a faster downwash airflow velocity, which helps achieve a more uniform distribution of droplets. However, the phenomenon of “negative velocity channels” is more pronounced and may lead to additional droplet drift. When UAVs encounter crosswinds during spraying, it can ensure a uniform droplet distribution by increasing the rotor velocity. The findings reveal the deposition behavior of sprayed droplets under different operating conditions and provide a reference for the practical operations of UAVs.","url":"https://doi.org/10.1063/5.0229772","authors":["Jiacheng Hao","Yongping Li"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-11-01T18:19:03Z","doi":"10.1063/5.0229772","addedAt":"2026-08-31T06:39:56.626Z","updatedAt":"2026-08-31T06:39:56.626Z"},{"id":"doi:10.1007/978-3-031-45605-3","name":"Securing Unmanned Aerial Vehicle Networks","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-031-45605-3","authors":["Bin Duo","Xiaojun Yuan","Yifan Liu"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-11-20T15:02:43Z","doi":"10.1007/978-3-031-45605-3","addedAt":"2026-08-31T06:39:56.626Z","updatedAt":"2026-08-31T06:39:56.626Z"},{"id":"doi:10.38140/cem30.42","name":"The use of Unmanned Aerial Vehicle (UAV) surveys to inform hydraulic modelling for E-flow assessments","source":"crossref","abstract":"","url":"https://doi.org/10.38140/cem30.42","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-10-25T08:44:49Z","doi":"10.38140/cem30.42","addedAt":"2026-08-31T06:39:56.626Z","updatedAt":"2026-08-31T06:39:56.626Z"},{"id":"doi:10.29227/im-2024-01-26","name":"Collecting Spatial Data with Unmanned Aerial Vehicle","source":"crossref","abstract":"The paper briefly discusses the nature and advantages of unmanned aerial vehicle (UAV) as a spatial data acquisition method. This method and its possibilities are subject of scientific research in the area of geodesy, cadaster, architecture, construc tion of infrastructure objects and facilities, agricultural activities, cultural and historical heritage and even more over the last decades. This publication discusses in short, the principles and possibilities for creating a three - dimensional data model using the advantages of unmanned aerial vehicle. The building of University of Architecture, civil engineering and geodesy, situated in Semkovo resort, Blagoevgrad district is selected for the purpose of the task. Classical land surveying measurements with a to tal station and the data collected with an unmanned aerial vehicle are used for the creation of the three - dimensional model. A comparison and evaluation of the obtained model is made. The result of this evaluation indicates that the technology of unmanned aerial vehicle is efficient for representation of high - quality data with a wide scope of advantages such as high range, fast data collecting and processing .","url":"https://doi.org/10.29227/im-2024-01-26","authors":["Gabriela Simeonova","Gergana Antova","Christina Mickrenska"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-06-25T15:18:15Z","doi":"10.29227/im-2024-01-26","addedAt":"2026-08-31T06:39:56.626Z","updatedAt":"2026-08-31T06:39:56.626Z"},{"id":"doi:10.1201/9781003466260-4","name":"Unmanned Aerial Vehicle Application to Fuzzy Soft Set Based Decision-Making","source":"crossref","abstract":"","url":"https://doi.org/10.1201/9781003466260-4","authors":["Nihal Tas","Elif Kaplan"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-09-05T10:39:39Z","doi":"10.1201/9781003466260-4","addedAt":"2026-08-31T06:39:56.626Z","updatedAt":"2026-08-31T06:39:56.626Z"},{"id":"doi:10.1109/cac63892.2024.10865791","name":"An Improved A* Algorithm for 3D Path Planning of Unmanned Aerial Vehicle","source":"crossref","abstract":"","url":"https://doi.org/10.1109/cac63892.2024.10865791","authors":["Xu Ma","Fangkun Zhang","Baoming Shan"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-02-13T18:29:08Z","doi":"10.1109/cac63892.2024.10865791","addedAt":"2026-08-31T06:39:56.626Z","updatedAt":"2026-08-31T06:39:56.626Z"},{"id":"doi:10.1007/978-3-031-45321-2_4","name":"Onboard Trajectory Coordination of Multiple Unmanned Air Vehicles","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-031-45321-2_4","authors":["James Sease","Stephen Warwick","Afzal Suleman"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-11-17T17:03:08Z","doi":"10.1007/978-3-031-45321-2_4","addedAt":"2026-08-31T06:39:56.626Z","updatedAt":"2026-08-31T06:39:57.704Z"},{"id":"doi:10.1109/icuas60882.2024.10556990","name":"Automatic Recovery of Fixed-Wing Unmanned Aerial Vehicle Using Bluetooth Angle-of-Arrival Navigation","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icuas60882.2024.10556990","authors":["Martin L. Sollie","Kristoffer Gryte","Torleiv H. Bryne","Tor A. Johansen"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-06-19T17:22:59Z","doi":"10.1109/icuas60882.2024.10556990","addedAt":"2026-08-31T06:39:56.626Z","updatedAt":"2026-08-31T06:39:56.626Z"},{"id":"doi:10.1109/apuavd64488.2024.10765893","name":"Surrogate Optimization of Compensating Magnetic Dipoles Placement for Unmanned Underwater Vehicle","source":"crossref","abstract":"","url":"https://doi.org/10.1109/apuavd64488.2024.10765893","authors":["B. Kuznetsov","T. Nikitina","I. Bovdui","K. Chunikhin"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-01-10T19:53:12Z","doi":"10.1109/apuavd64488.2024.10765893","addedAt":"2026-08-31T06:39:56.626Z","updatedAt":"2026-08-31T06:39:56.626Z"},{"id":"doi:10.24084/repqj20.383","name":"Unmanned Aerial Vehicle for Infrared Inspection of Photovoltaic  Modules","source":"crossref","abstract":"Supervision and monitoring are mandatory for large PhotoVoltaic(PV)plants, because failures can cause high power loss, due to the large number of PVmodules. InfraRed(IR)analysis is effective and reliable to detect anomalies or failures in PVmodules, but it is time consuming and then expensive, when the infrared inspection of large PV plants is manual. The diffusion of Unmanned Aerial Vehicle(UAV)equipped by infrared camera can support the fast supervision of PVplants, but the use of UAVsis regulated by international and national rulesand its utilization is limited, based on geographic areas and/or authorizations. This article discusses these critical issues, directs the reader to official, national, geographic maps for the drones, and suggests technical solutions for some specific issues not considered in the technical specification for outdoor infrared thermography of PVmodules.","url":"https://doi.org/10.24084/repqj20.383","authors":["S. Vergura"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2022-08-25T06:55:30Z","doi":"10.24084/repqj20.383","addedAt":"2026-08-31T06:39:56.626Z","updatedAt":"2026-08-31T06:39:56.626Z"},{"id":"doi:10.1109/uvs59630.2024.10467160","name":"A Mission-Aware Battery Charging Algorithm for Unmanned Aerial Vehicles","source":"crossref","abstract":"","url":"https://doi.org/10.1109/uvs59630.2024.10467160","authors":["Chenn-Jung Huang","Hao-Wen Cheng","Kai-Wen Hu","Yi-Sin Sie Lin"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-03-20T18:13:25Z","doi":"10.1109/uvs59630.2024.10467160","addedAt":"2026-08-31T06:39:56.626Z","updatedAt":"2026-08-31T06:39:56.626Z"},{"id":"doi:10.1109/ijcnn60899.2024.10650543","name":"A Real-Time Unmanned Aerial Vehicle (UAV) Aerial Image Object Detection Model","source":"crossref","abstract":"","url":"https://doi.org/10.1109/ijcnn60899.2024.10650543","authors":["Li Tan","Zikang Liu","He Liu","Dongfang Li","Chen Zhang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-09-09T17:35:05Z","doi":"10.1109/ijcnn60899.2024.10650543","addedAt":"2026-08-31T06:39:56.626Z","updatedAt":"2026-08-31T06:39:56.626Z"},{"id":"doi:10.1109/icc64753.2024.10883749","name":"Adaptive Continuous Terminal Sliding Mode Control for Unmanned Aerial Vehicle","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icc64753.2024.10883749","authors":["Sunil Kumar","Asifa Yesmin","Arpita Sinha","Anirban Guha"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-02-21T18:37:11Z","doi":"10.1109/icc64753.2024.10883749","addedAt":"2026-08-31T06:39:56.626Z","updatedAt":"2026-08-31T06:39:56.626Z"},{"id":"doi:10.1016/j.measen.2024.101195","name":"Unmanned aerial vehicle path planning with hybrid motion algorithm for obstacle avoidance","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.measen.2024.101195","authors":["Venkatasivarambabu Pamarthi","Richa Agrawal"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-05-08T16:54:33Z","doi":"10.1016/j.measen.2024.101195","addedAt":"2026-08-31T06:39:56.626Z","updatedAt":"2026-08-31T06:39:56.626Z"},{"id":"doi:10.18127/j20700784-202405-06","name":"Unmanned aerial vehicle as a reconnaissance object","source":"crossref","abstract":"There have been reports of unauthorized use of unmanned aerial vehicles (UAVs) in highly controlled areas (airports, military facilities, against critical industrial infrastructure) in the media since the mid-2000s. Nowadays, small UAVs are widely used for unauthorized surveillance of important objects, conducting terrorist attacks and sabotage, transporting prohibited goods (weapons, drugs), as well as for military purposes. For this reason, the problem of countering UAVs, and especially small UAVs, has be-come extremely relevant. Analysis of publications in this area has revealed a small number of serious studies in this topic. Conclusions, made on the effectiveness of existing air defense systems for combating all types of UAVs in several papers seem to be too optimistic. However, the problem of countering UAVs, and especially small UAVs, is highly complicated, multifaceted and has not been solved yet. The goal of this paper is to analyze UAV as an object of detection and defeating while using various ways and means of countering UAVs. This work focuses on the analysis of UAV as an object of radar, radio-reconnaissance and radio-technical, optical-electronic and acoustic intelligence, as well as an object of fire and electronic defeating. Results of systematization and analysis of UAVs as an object of fire and electronic defeating, capabilities of on time detecting and target indicating by radar, radio-reconnaissance and radio-technical, optical-electronic and acoustic means of intelligence are presented in the paper. Carried out systematization is based on information from more than 40 open sources. Analysis of the sources reveals the list of main features of the UAV as an object of defeating, and makes it possible to carry out a detailed analysis of modern detection systems, as well as their effectiveness and disadvantages. Elements of novelty of the paper are general features of UAVs detection process, as well as systemic disadvantages of the detection systems technical solutions, which lead to reduce in efficiency, while being used against UAVs. The material of the paper can be used to generate initial data for modeling and studying the combat effectiveness of the air defense systems when countering UAVs. This article can be useful for constructors, who design the countering UAV systems.","url":"https://doi.org/10.18127/j20700784-202405-06","authors":["I.E. Afonin","S.I. Makarenko","M.S. Ivanov"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-10-02T15:56:28Z","doi":"10.18127/j20700784-202405-06","addedAt":"2026-08-31T06:39:56.626Z","updatedAt":"2026-08-31T06:39:56.626Z"},{"id":"doi:10.1109/cins63881.2024.10864415","name":"Improved Red-Billed Blue Magpie Optimizer for Unmanned Aerial Vehicle Path Planning","source":"crossref","abstract":"","url":"https://doi.org/10.1109/cins63881.2024.10864415","authors":["Ashish Sharma"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-02-10T18:28:26Z","doi":"10.1109/cins63881.2024.10864415","addedAt":"2026-08-31T06:39:56.626Z","updatedAt":"2026-08-31T06:39:56.626Z"},{"id":"doi:10.3901/jme.2024.03.034","name":"Mobile Autonomous Recovery Landing Principle and Control Method for Unmanned Aerial Vehicle","source":"crossref","abstract":"","url":"https://doi.org/10.3901/jme.2024.03.034","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-12-19T03:11:57Z","doi":"10.3901/jme.2024.03.034","addedAt":"2026-08-31T06:39:56.626Z","updatedAt":"2026-08-31T06:39:56.626Z"},{"id":"doi:10.1504/ijsa.2024.142567","name":"Aerodynamic study on bio-inspired unmanned aerial vehicle wings","source":"crossref","abstract":"","url":"https://doi.org/10.1504/ijsa.2024.142567","authors":["N. Rajamurugu"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-11-09T12:30:22Z","doi":"10.1504/ijsa.2024.142567","addedAt":"2026-08-31T06:39:56.626Z","updatedAt":"2026-08-31T06:39:56.626Z"},{"id":"doi:10.1109/inmic64792.2024.11004353","name":"Unmanned Aerial Vehicle for Human Surveillance using Multi-Features and Neuro-Fuzzy Classifier","source":"crossref","abstract":"","url":"https://doi.org/10.1109/inmic64792.2024.11004353","authors":["Laiba Zahoor","Ahmad Jalal"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-05-16T17:42:12Z","doi":"10.1109/inmic64792.2024.11004353","addedAt":"2026-08-31T06:39:56.626Z","updatedAt":"2026-08-31T06:39:56.626Z"},{"id":"doi:10.2139/ssrn.4976574","name":"Real-Time Vehicle Detection and Urban Traffic Behavior Analysis Based on Unmanned Aerial Vehicle Traffic Videos on Mobile Devices","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.4976574","authors":["Yuan Zhu","Yanqiang Wang","Yadong An","Hong Yang","Yiming Pan"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-10-04T15:19:23Z","doi":"10.2139/ssrn.4976574","addedAt":"2026-08-31T06:39:56.626Z","updatedAt":"2026-08-31T06:39:56.626Z"},{"id":"doi:10.1504/ijsa.2024.10067659","name":"Aerodynamic study on bio-inspired unmanned aerial vehicle wings","source":"crossref","abstract":"","url":"https://doi.org/10.1504/ijsa.2024.10067659","authors":["N. Rajamurugu"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-11-04T14:00:14Z","doi":"10.1504/ijsa.2024.10067659","addedAt":"2026-08-31T06:39:56.626Z","updatedAt":"2026-08-31T06:39:56.626Z"},{"id":"doi:10.18127/j22250980-202402-01","name":"Unmanned aerial vehicle location systems. Antenna Arrays","source":"crossref","abstract":"Radars remain the only all–weather location systems, which is especially important in difficult conditions of their use. Antenna array technologies remain critical for the development of dynamic areas of technology and, first of all, UAVs location systems. The development of location systems and antenna arrays for UAVs has been going on for a long time. Radars and antenna arrays installed on medium– and large–class UAVs differ little from airplane and helicopter systems. Among UAVs, the maximum number of UAVs used are UAVs of minimal size, weight and cost. Due to their high maneuverability, minimal visibility and a large number of tasks to be solved. Therefore, radars are subject to minimum size, weight, dimensions and consumption requirements at maximum range. The widespread use of small UAVs has led to the fact that their radars and antenna arrays are on a par with automotive ones, when the possibilities for their placement are significantly limited, even more so than in cars. For the latter, the problem of miniaturization appeared earlier, but not as severely as in UAVs. Antenna arrays are subject to requirements for minimizing dimensions, weight and consumption. Nanotechnology provides this. It's safe to say that the time has come for large–scale solutions to complex problems in antenna systems. Depending on the type of a UAV, it is possible to use a number of methods for constructing antenna arrays: known and proven – linear and fractal; the most modern – metastructures; widely used – tiled; new: flexible and three–dimensional printed; a combination of several methods. Currently, the most attractive areas for the development of antenna arrays for UAVs are: scaling – growing a large number of similar structures to create large apertures; spacing antenna arrays across the surface of the carrier for viewing both forward, sideways and backward, as well as down and up. The development of silicon tiled antenna arrays has led to the realization of very high operating frequencies (90–100 GHz) on the most affordable process technologies (130–180 nm), and the antenna array is fabricated as a chip. The optimal option for constructing antenna arrays is to ensure the reception, conversion and preprocessing of input signals directly in the antenna system in real time, unloading the radar for solving problems that require powerful processing. Post–processing allows you to obtain a more accurate solution to the problem. The combination of pre–processing and post–processing, supported by advanced software and powerful artificial intelligence, expands the capabilities and improves the parameters of the location system. It is important that artificial intelligence ensures the autonomous movement of a UAV, although its use requires large consumption and memory resources. The integrated location system absorbed for the most part the capabilities of a large stationary radar. At the same time, minimum dimensions, weight and consumption are ensured to solve the necessary modern problems. Several radars with their own antenna arrays can be installed on a UAV, which operate in the internal network, complementing each other.","url":"https://doi.org/10.18127/j22250980-202402-01","authors":["Yu.V. Koltzov"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-10-09T09:50:28Z","doi":"10.18127/j22250980-202402-01","addedAt":"2026-08-31T06:39:56.626Z","updatedAt":"2026-08-31T06:39:56.626Z"},{"id":"doi:10.1117/1.jrs.18.016501","name":"Plume motion characterization in unmanned aerial vehicle aerial video and imagery","source":"crossref","abstract":"","url":"https://doi.org/10.1117/1.jrs.18.016501","authors":["Mehrube Mehrubeoglu","Kirk Cammarata","Hua Zhang","Lifford McLauchlan"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-01-04T06:03:42Z","doi":"10.1117/1.jrs.18.016501","addedAt":"2026-08-31T06:39:56.626Z","updatedAt":"2026-08-31T06:39:56.626Z"},{"id":"doi:10.1007/s00267-026-02536-8","name":"How are Unmanned Aerial Vehicles (UAVs) Revolutionizing Forest Operations? A Systematic Review of Current Applications and Future Opportunities.","source":"europepmc","abstract":"","url":"https://doi.org/10.1007/s00267-026-02536-8","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.1007/s00267-026-02536-8","addedAt":"2026-08-31T06:39:56.626Z","updatedAt":"2026-08-31T06:40:05.993Z"},{"id":"doi:10.13227/j.hjkx.202507105","name":"[Prediction of Nitrogen Concentration in Agricultural Drainage Water by Fusing Multispectral Images from Unmanned Aerial Vehicles and Stacking Models].","source":"europepmc","abstract":"","url":"https://doi.org/10.13227/j.hjkx.202507105","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.13227/j.hjkx.202507105","addedAt":"2026-08-31T06:39:56.626Z","updatedAt":"2026-08-31T06:40:02.906Z"},{"id":"doi:10.1038/s41598-026-52280-6","name":"Monkey jumping optimization: a tree-branch-inspired metaheuristic for global search.","source":"pubmed","abstract":"","url":"https://doi.org/10.1038/s41598-026-52280-6","authors":["Dagal I","Dari YD"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.1038/s41598-026-52280-6","addedAt":"2026-08-31T06:39:56.626Z","updatedAt":"2026-08-31T06:40:09.764Z"},{"id":"doi:10.1038/s41598-026-59033-5","name":"Aerial small object detection via dynamic convolution and hierarchical attention fusion for UAV imagery.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41598-026-59033-5","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.1038/s41598-026-59033-5","addedAt":"2026-08-31T06:39:56.626Z","updatedAt":"2026-08-31T06:40:05.993Z"},{"id":"doi:10.1002/ps.70873","name":"Unraveling spatiotemporal dynamics of pine wilt disease via time-series UAV monitoring and deep learning.","source":"europepmc","abstract":"Background This study investigates the spatiotemporal dynamics of pine wilt disease (PWD) to inform data-driven management. We implemented a time-series monitoring framework in a township in Zhejiang Province, China, acquiring seven sequences of unmanned aerial vehicle (UAV) orthomosaics between 2022 and 2024. An enhanced YOLOX-based change detection model was developed and trained on 300 000 samples. This model exploits phenological variations to automatically identify PWD-discolored pines, effectively filtering confounding objects. Results The model demonstrated robust performance, achieving an Average Precision (AP) of 0.89, with Precision and Recall exceeding 85%. Analysis revealed a consistent westward expansion and a progressive increase in disease hotspots. Crucially, winter surveys detected substantial delayed-symptom pines missed in autumn, roughly equivalent to the autumn baseline. Consequently, the annual cumulative mortality caused by PWD was nearly double (2×) the autumn count. Over 90% of trees newly identified in autumn were located within 300 m of infections detected the previous spring, indicating strong spatial clustering. Furthermore, 80% of infected trees occurred at elevations Conclusion This research establishes a validated framework bridging remote sensing and on-the-ground sanitation. By quantifying the symptom lag effect (which doubles mortality estimates relative to traditional autumn surveys) and elucidating environmentally driven spread mechanisms, we provide a scientific basis for correcting census biases and optimizing resource allocation for precise PWD management. © 2026 Society of Chemical Industry.","url":"https://doi.org/10.1002/ps.70873","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.1002/ps.70873","addedAt":"2026-08-31T06:39:56.626Z","updatedAt":"2026-08-31T06:40:02.906Z"},{"id":"doi:10.1038/s41598-026-60763-9","name":"Smart skies: optimizing autonomous AUAV positioning for robust IoT connectivity in next-gen cities.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41598-026-60763-9","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.1038/s41598-026-60763-9","addedAt":"2026-08-31T06:39:56.626Z","updatedAt":"2026-08-31T06:39:57.917Z"},{"id":"doi:10.1364/ao.580507","name":"Hybrid CLEAN filtering algorithm and terahertz radar for feature extraction of multi-rotors unmanned aerial vehicles.","source":"europepmc","abstract":"","url":"https://doi.org/10.1364/ao.580507","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.1364/ao.580507","addedAt":"2026-08-31T06:39:56.626Z","updatedAt":"2026-08-31T06:40:02.907Z"},{"id":"doi:10.3389/fpls.2026.1759956","name":"Research progress on precision orchard yield estimation based on multi-source information perception sensors.","source":"europepmc","abstract":"","url":"https://doi.org/10.3389/fpls.2026.1759956","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.3389/fpls.2026.1759956","addedAt":"2026-08-31T06:39:56.626Z","updatedAt":"2026-08-31T06:40:05.993Z"},{"id":"doi:10.1080/03601234.2026.2660035","name":"UAV-based real-time detection of corn earworm using EfficientNet and machine learning.","source":"europepmc","abstract":"Early detection of corn earworm ( Helicoverpa zea ) is crucial for subsiding corn crop losses and make sure supportable agricultural productivity. Traditional monitoring methods, composed of manual field inspections and pheromone traps, are often time-consuming, labor-intensive, and prone to hindered detection. This study develops an unmanned aerial vehicle (UAV)-based, real-time detection system for corn earworm infestations using progressive artificial intelligence techniques. Multispectral and thermal images were collected from three corn fields throughout the 2024 growing season, including numerous pest life stages. The dataset includes 2,000 high-resolution images, with metadata as well as geographical coordinates, collection date, and pest stage annotations, authorized by entomological experts. Image preprocessing, as well as normalization, augmentation, and segmentation, was smeared to develop data quality and model generalization. EfficientNet, a convolutional neural network, was engaged for feature extraction, and its outputs were classified using a hybrid method combining Random Forest and Support Vector Machine algorithms to improve detection accuracy and robustness. The system succeeded 90% classification accuracy, with inference times suitable for real-time field application. Field trials recognized the practical applicability of the method under variable ecological conditions. This research shows that fitting UAV imaging with AI-based models can be responsible for suitable, accurate detection of corn earworm, assisting proactive pest management decisions. The methodology can be adjusted to other pest species and crop systems, posturing a scalable solution for precision agriculture and backing sustainable crop protection practices. These findings highlight the potential of connecting AI, remote sensing, and entomological validation for modern, data-driven pest management.","url":"https://doi.org/10.1080/03601234.2026.2660035","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.1080/03601234.2026.2660035","addedAt":"2026-08-31T06:39:56.626Z","updatedAt":"2026-08-31T06:40:02.906Z"},{"id":"doi:10.1002/ps.70957","name":"Retrieval of pigment content and water status of Pinus massoniana under pine wood nematode stress using multitemporal UAV multispectral imagery.","source":"europepmc","abstract":"","url":"https://doi.org/10.1002/ps.70957","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.1002/ps.70957","addedAt":"2026-08-31T06:39:56.626Z","updatedAt":"2026-08-31T06:40:02.906Z"},{"id":"doi:10.3390/s26092882","name":"Machine Learning for Intelligent and Adaptive Communication Systems: From Optimization to Emerging Paradigms.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s26092882","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.3390/s26092882","addedAt":"2026-08-31T06:39:56.626Z","updatedAt":"2026-08-31T06:40:09.763Z"},{"id":"doi:10.3760/cma.j.cn112137-20250527-01311","name":"[Feasibility and timeliness of unmanned aerial vehicles-delivered automated external defibrillator in the emergency treatment of out-of-hospital cardiac arrest].","source":"pubmed","abstract":"To explore the feasibility and timeliness of using unmanned aerial vehicle (UAV) to deliver automated external defibrillator (AED) for the emergency rescue of out-of-hospital cardiac arrest (OHCA), a simulation experiment was conducted in the urban area of Jiaxing from November 2023 to November 2024. With the emergency rescue center as the center, 43 simulated OHCA events were randomly set within a radius of 6.5 kilometers. The distance and time indicators among emergency medical services (EMS), UAV-delivered AED, and public AED retrieval were compared. The results showed that the UAV flight distance [2.29 (1.21, 3.58) vs 3.10 (2.10, 5.30) km], flight time [266.0 (193.0, 344.0) vs (555.3&#xb1;11.6) seconds], and response time [353.0 (272.0, 426.0) vs (597.2&#xb1;210.0) seconds] were all shorter than those of EMS (all P &lt;0.05). However, the UAV's activation time [(76.4&#xb1;8.7) vs 40.0 (35.0, 51.0) seconds] was longer than that of EMS ( P &lt;0.05). The distance for retrieving public AEDs was shorter than the UAV flight distance [0.76 (0.40, 1.12) vs 2.29 (1.21, 3.58) km], but the retrieval time was longer [550.1 (286.6, 803.5) vs 353.0(272.0, 426.0) seconds] (both P &lt;0.05). This study indicates that UAVs have a significant advantage in emergency rescue timeliness, and the integrated use of EMS, UAV, and AED is a feasible new model for OHCA emergency rescue.","url":"https://doi.org/10.3760/cma.j.cn112137-20250527-01311","authors":["Suo Y","Chen ZZ","Cao W","Fei DT","Jin J","Zhou P","A NH","Xu J"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.3760/cma.j.cn112137-20250527-01311","addedAt":"2026-08-31T06:39:56.626Z","updatedAt":"2026-08-31T06:40:02.907Z"},{"id":"doi:10.1186/s44263-026-00250-5","name":"New frontiers for unmanned aerial vehicles in planetary health research.","source":"europepmc","abstract":"","url":"https://doi.org/10.1186/s44263-026-00250-5","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.1186/s44263-026-00250-5","addedAt":"2026-08-31T06:39:56.626Z","updatedAt":"2026-08-31T06:40:05.993Z"},{"id":"doi:10.1002/ece3.73832","name":"Expanding the Toolbox: Mangrove Use by Spotted Eagle Rays (&lt;i&gt;Aetobatus ocellatus&lt;/i&gt;) in the Maldives Revealed Through Drone-Based Observation.","source":"europepmc","abstract":"ABSTRACT Mangrove ecosystems are critical coastal habitats that serve as nurseries for a wide range of marine species; yet their role in elasmobranchs' life cycle and conservation remains poorly documented, particularly in regions where mangroves are limited and threatened. Here, we report the first scientific record of the Spotted Eagle Ray Aetobatus ocellatus (Kuhl, 1823) within a mangrove‐surrounded embayment of Baarah Island, Republic of the Maldives. Observations were made using a commercially available unmanned aerial vehicle (UAV), a technology increasingly adopted within citizen science initiatives, which enabled the observation of four individuals and the recording of one juvenile. Recordings were taken during two consecutive manual overflights (~50 min) over a 1.5 km 2 area, during high tide and with sunny‐to‐slightly overcast conditions. This finding supports the hypothesis that mangrove habitats may serve as refuge or nursery areas for elasmobranch early life stages, as well as for A. ocellatus , despite being rarely described as habitats for eagle rays. Our findings suggest that Maldivian mangroves, though spatially limited and highly threatened, may hold greater ecological importance for batoids than previously acknowledged, thereby supporting current environmental conservation plans implemented in Baarah Island while simultaneously serving as a baseline for further safeguarding actions. This study further highlights how accessible aerial technologies can enhance the detection of elusive species in challenging environments and help fill critical knowledge gaps relevant to elasmobranch conservation.","url":"https://doi.org/10.1002/ece3.73832","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.1002/ece3.73832","addedAt":"2026-08-31T06:39:56.626Z","updatedAt":"2026-08-31T06:40:05.993Z"},{"id":"doi:10.1007/s10393-026-01791-9","name":"Examining Landscape Determinants of Mosquito Abundance in Urban Green Spaces.","source":"europepmc","abstract":"","url":"https://doi.org/10.1007/s10393-026-01791-9","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.1007/s10393-026-01791-9","addedAt":"2026-08-31T06:39:56.626Z","updatedAt":"2026-08-31T06:39:57.917Z"},{"id":"doi:10.1016/j.xplc.2026.101747","name":"Three-dimensional phenotyping: Technological advances and applications in genomics-assisted crop breeding.","source":"europepmc","abstract":"With rapid advancements in breeding technologies, phenomics, and artificial intelligence, crop breeding is progressively entering an era of greater precision and efficiency. In this context, three-dimensional (3D) phenotyping techniques-leveraging multidimensional spatial resolution capabilities-have overcome the limitations of two-dimensional (2D) phenotyping in breeding analyses, enabling precise characterization of crop spatial interactions, spatial distribution of plant architecture, and complex 3D structural traits. Recent breakthroughs in computer technology for 3D reconstruction and 3D segmentation have provided robust technical support for crop 3D phenotypic analysis. Furthermore, effective integration of extracted 3D phenotypic data with genotypic data serves as a powerful tool for future research on crop gene function and genomics-assisted breeding. This review systematically examines major advances in 3D phenotyping techniques and their representative applications, with particular emphasis on innovations in 3D phenotyping and analytical methodologies. In parallel, we describe the latest interdisciplinary advances in 3D phenotyping within crop functional genomics research and genomics-assisted breeding. We objectively evaluate the advantages and limitations of 3D phenotyping compared with 2D approaches to assist breeders in selecting appropriate technologies. Finally, we propose future perspectives to promote deeper integration of phenomics and breeding technologies. Despite existing conceptual and technical challenges, it is foreseeable that cross-disciplinary integration of phenomics and genomics will offer promising prospects for crop breeding.","url":"https://doi.org/10.1016/j.xplc.2026.101747","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.1016/j.xplc.2026.101747","addedAt":"2026-08-31T06:39:56.626Z","updatedAt":"2026-08-31T06:40:05.993Z"},{"id":"doi:10.3390/s26020583","name":"Structural Vibration Analysis of UAVs Under Ground Engine Test Conditions.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s26020583","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.3390/s26020583","addedAt":"2026-08-31T06:39:56.626Z","updatedAt":"2026-08-31T06:40:05.993Z"},{"id":"doi:10.3389/fpls.2026.1803212","name":"Influence of flight pattern on the effectiveness of unmanned aerial vehicles application in a mountain Nanguo pear orchard.","source":"europepmc","abstract":"","url":"https://doi.org/10.3389/fpls.2026.1803212","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.3389/fpls.2026.1803212","addedAt":"2026-08-31T06:39:56.626Z","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"doi:10.1007/s40820-026-02221-9","name":"Triboelectric Nanogenerators in Military: Recent Progress and Critical Challenges.","source":"europepmc","abstract":"","url":"https://doi.org/10.1007/s40820-026-02221-9","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.1007/s40820-026-02221-9","addedAt":"2026-08-31T06:39:56.626Z","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"doi:10.1016/j.dib.2026.112660","name":"Vegetation dynamics inside Mediterranean vineyards: A dataset for tracking changes using unmanned aerial vehicles.","source":"europepmc","abstract":"","url":"https://doi.org/10.1016/j.dib.2026.112660","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.1016/j.dib.2026.112660","addedAt":"2026-08-31T06:39:56.626Z","updatedAt":"2026-08-31T06:40:05.993Z"},{"id":"doi:10.7717/peerj-cs.3270","name":"Multimodal image fusion for enhanced vehicle identification in intelligent transport.","source":"europepmc","abstract":"","url":"https://doi.org/10.7717/peerj-cs.3270","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.7717/peerj-cs.3270","addedAt":"2026-08-31T06:39:56.626Z","updatedAt":"2026-08-31T06:40:05.993Z"},{"id":"doi:10.7717/peerj.20975","name":"First New Zealand fur seal population assessment at the Bounty Islands in 30 years.","source":"europepmc","abstract":"","url":"https://doi.org/10.7717/peerj.20975","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.7717/peerj.20975","addedAt":"2026-08-31T06:39:56.626Z","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"doi:10.1038/s41598-025-32436-6","name":"Robust performance optimization of UAV dynamic systems using MPC-PID hybrid control.","source":"pubmed","abstract":"This paper intends to address the challenges of insufficient robustness and model uncertainty compensation in unmanned aerial vehicle dynamic systems under complex disturbances. The paper proposes a hybrid control architecture that combines deep fusion model predictive control with adaptive Proportional-Integral-Derivative (PID) based on Transformer attention mechanism. The core innovation of this architecture lies in introducing attention neural networks to dynamically tune PID gains online, and forming a deep collaborative control framework of \"prediction-learning-compensation\" with Model Predictive Control (MPC) and sliding mode disturbance observer with H&#x221e; (H-infinity) robust optimization. This thereby improvs the adaptability and control accuracy of the system under unstructured disturbances and model mismatches. The control architecture employs a robustly optimized upper-layer MPC controller, which, based on the receding horizon principle, utilizes real-time system state updates to predict future state evolution. An H&#x221e; performance criterion is incorporated into the control sequence optimization to strengthen robustness against model parameter perturbations and external disturbances. The lower-layer controller adopts an adaptive PID structure that responds quickly to the reference signals generated by the MPC. To address the degradation of PID tuning performance under dynamic mismatches and unmodeled disturbances, an attention mechanism neural network based on the Transformer architecture is introduced to adjust the PID gains online and capture nonlinear dynamic variations. Additionally, in order to further enhance system stability under severe disturbances, this control framework integrates sliding mode control technology into the disturbance observer design, and constructs a sliding mode disturbance observer module for explicit estimation of external disturbances and model uncertainties. The estimated values are injected into the lower-level adaptive PID controller through a feedforward compensation mechanism to achieve active disturbance rejection. Simulation experiments conducted in a nonlinear disturbance environment built on the AirSim platform, as well as tests using the EuRoc dataset, demonstrate that the proposed method maintains a steady-state tracking error within 5% during path-following tasks. Compared with the traditional MPC combined with fixed gain PID control, this method improves the steady-state robustness by about 17%, and shortens the system adjustment time from 3.15&#xa0;s to 2.47&#xa0;s, significantly improving by 21.6%, demonstrating excellent convergence and anti-interference ability. The results indicate that the MPC-PID hybrid control approach offers significant advantages in enhancing the robustness, adaptability, and control accuracy of UAV systems, making it well-suited for intelligent control demands in complex flight missions.","url":"https://doi.org/10.1038/s41598-025-32436-6","authors":["Zhou W","Zhou L","Yuan T","Chen R","Liu D"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.1038/s41598-025-32436-6","addedAt":"2026-08-31T06:39:56.626Z","updatedAt":"2026-08-31T06:40:09.764Z"},{"id":"doi:10.3389/fnbot.2025.1681341","name":"UAV-based intelligent traffic surveillance using recurrent neural networks and Swin transformer for dynamic environments.","source":"pubmed","abstract":"Urban traffic congestion, environmental degradation, and road safety challenges necessitate intelligent aerial robotic systems capable of real-time adaptive decision-making. Unmanned Aerial Vehicles (UAVs), with their flexible deployment and high vantage point, offer a promising solution for large-scale traffic surveillance in complex urban environments. This study introduces a UAV-based neural framework that addresses challenges such as asymmetric vehicle motion, scale variations, and spatial inconsistencies in aerial imagery.","url":"https://doi.org/10.3389/fnbot.2025.1681341","authors":["Alshehri M","Wu T","Almujally NA","AlQahtani Y","Hanzla M","Jalal A","Liu H"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.3389/fnbot.2025.1681341","addedAt":"2026-08-31T06:39:56.626Z","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"doi:10.1242/jeb.251816","name":"In the tracks of a whale: inferring size class, orientation and swimming speed from thermal flukeprints.","source":"europepmc","abstract":"","url":"https://doi.org/10.1242/jeb.251816","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.1242/jeb.251816","addedAt":"2026-08-31T06:39:56.626Z","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"doi:10.1038/s41598-025-28757-1","name":"Terahertz metamaterial liquid detector optimized by deep learning.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41598-025-28757-1","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.1038/s41598-025-28757-1","addedAt":"2026-08-31T06:39:56.626Z","updatedAt":"2026-08-31T06:40:05.993Z"},{"id":"doi:10.1016/j.dib.2026.112921","name":"Dataset for surface and subsurface characterization of removable urban pavements with a functionalized surface (RUP-FS) using multi-technique measurements.","source":"europepmc","abstract":"","url":"https://doi.org/10.1016/j.dib.2026.112921","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.1016/j.dib.2026.112921","addedAt":"2026-08-31T06:39:56.626Z","updatedAt":"2026-08-31T06:40:05.993Z"},{"id":"doi:10.1038/s41598-025-30351-4","name":"8 × 8 element MIMO antenna for unmanned aerial vehicles, V2X and 5G applications.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41598-025-30351-4","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.1038/s41598-025-30351-4","addedAt":"2026-08-31T06:39:56.626Z","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"doi:10.1038/s41598-025-98132-7","name":"Nonlinear controller design for unmanned helicopter flight platform.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41598-025-98132-7","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.1038/s41598-025-98132-7","addedAt":"2026-08-31T06:39:56.626Z","updatedAt":"2026-08-31T06:40:05.993Z"},{"id":"doi:10.1016/j.dib.2026.112614","name":"TLS-grapevine2024: A terrestrial laser scanner point cloud dataset of grapevines at different phenological stages.","source":"europepmc","abstract":"","url":"https://doi.org/10.1016/j.dib.2026.112614","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.1016/j.dib.2026.112614","addedAt":"2026-08-31T06:39:56.626Z","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"doi:10.1038/s41598-025-34938-9","name":"Quantifying carbon stock and tree community composition in tropical forests through combining satellite and UAV analyses.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41598-025-34938-9","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.1038/s41598-025-34938-9","addedAt":"2026-08-31T06:39:56.626Z","updatedAt":"2026-08-31T06:39:57.918Z"},{"id":"doi:10.1038/s41598-025-31516-x","name":"Energy efficient UAV-assisted two layer hierarchical bit-mapping access based MAC protocol.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41598-025-31516-x","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.1038/s41598-025-31516-x","addedAt":"2026-08-31T06:39:56.626Z","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"doi:10.3389/fpls.2026.1776315","name":"Biomass prediction and shoot growth characterization of single-staked yam plants using UAV imagery.","source":"europepmc","abstract":"","url":"https://doi.org/10.3389/fpls.2026.1776315","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.3389/fpls.2026.1776315","addedAt":"2026-08-31T06:39:56.626Z","updatedAt":"2026-08-31T06:40:09.763Z"},{"id":"doi:10.3357/amhp.6773.2025","name":"Two Cases of Incidental Pulmonary Nodules and Rare Lung Neoplasms.","source":"europepmc","abstract":"","url":"https://doi.org/10.3357/amhp.6773.2025","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.3357/amhp.6773.2025","addedAt":"2026-08-31T06:39:56.626Z","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"doi:10.3390/s26113585","name":"Vehicle Detection in Drone Aerial Views Based on Lightweight YOLOv10-IAD.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s26113585","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.3390/s26113585","addedAt":"2026-08-31T06:39:56.626Z","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"doi:10.3389/fpls.2025.1733727","name":"Multiscale CNN-state space model with feature fusion for crop disease detection from UAV imagery.","source":"europepmc","abstract":"","url":"https://doi.org/10.3389/fpls.2025.1733727","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.3389/fpls.2025.1733727","addedAt":"2026-08-31T06:39:56.626Z","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"doi:10.3389/fpls.2026.1827521","name":"Monitoring plant moisture content and optimizing irrigation prescriptions based on UAV multimodal data.","source":"europepmc","abstract":"","url":"https://doi.org/10.3389/fpls.2026.1827521","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.3389/fpls.2026.1827521","addedAt":"2026-08-31T06:39:56.626Z","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"doi:10.1186/s42492-025-00203-z","name":"Lightweight and mobile artificial intelligence and immersive technologies in aviation.","source":"europepmc","abstract":"","url":"https://doi.org/10.1186/s42492-025-00203-z","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.1186/s42492-025-00203-z","addedAt":"2026-08-31T06:39:56.626Z","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"doi:10.1016/j.dib.2025.112356","name":"RivAIrSet: A multitemporal high-resolution UAV imagery dataset for machine learning-based river water segmentation.","source":"pubmed","abstract":"Understanding and predicting river dynamics requires frequent and systematic observations from imaging sensors deployed in situ or on different platforms. In this context, machine learning methods are increasingly applied to pixel-based classification and image segmentation, enabling innovative approaches for spatiotemporal mapping of dynamic fluvial environments. These methods often rely on large, multitemporal, and well-annotated datasets to ensure robust training and validation. We present RivAIrSet, a dataset of 7630 high-resolution RGB images collected by Unmanned Aerial Vehicle (UAV) along a reach of the Basento River (Southern Italy), with corresponding annotations of river water areas. The images were acquired during multitemporal surveys under varying hydrological and meteorological conditions, capturing different flow regimes. Overall, the dataset provides a valuable resource for fluvial research, supporting advances in machine learning-based river water segmentation, enabling the calibration and validation of hydrological and hydraulic models, and fostering the development of intelligent systems for monitoring fluvial environments. RivAIrSet is available in the UAVRiverMonitoring community, an open repository we created to promote data sharing, enable comparative studies, and drive new research on UAV-based river monitoring.","url":"https://doi.org/10.1016/j.dib.2025.112356","authors":["La Salandra M","Colacicco R","Dellino P","Capolongo D"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.1016/j.dib.2025.112356","addedAt":"2026-08-31T06:39:56.626Z","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"doi:10.3390/s26030817","name":"AMSRDet: An Adaptive Multi-Scale UAV Infrared-Visible Remote Sensing Vehicle Detection Network.","source":"pubmed","abstract":"Unmanned Aerial Vehicle (UAV) platforms enable flexible and cost-effective vehicle detection for intelligent transportation systems, yet small-scale vehicles in complex aerial scenes pose substantial challenges from extreme scale variations, environmental interference, and single-sensor limitations. We present AMSRDet (Adaptive Multi-Scale Remote Sensing Detector), an adaptive multi-scale detection network fusing infrared (IR) and visible (RGB) modalities for robust UAV-based vehicle detection. Our framework comprises four novel components: (1) a MobileMamba-based dual-stream encoder extracting complementary features via Selective State-Space 2D (SS2D) blocks with linear complexity O(HWC), achieving 2.1&#xd7; efficiency improvement over standard Transformers; (2) a Cross-Modal Global Fusion (CMGF) module capturing global dependencies through spatial-channel attention while suppressing modality-specific noise via adaptive gating; (3) a Scale-Coordinate Attention Fusion (SCAF) module integrating multi-scale features via coordinate attention and learned scale-aware weighting, improving small object detection by 2.5 percentage points; and (4) a Separable Dynamic Decoder generating scale-adaptive predictions through content-aware dynamic convolution, reducing computational cost by 48.9% compared to standard DETR decoders. On the DroneVehicle dataset, AMSRDet achieves 45.8% mAP@0.5:0.95 (81.2% mAP@0.5) at 68.3 Frames Per Second (FPS) with 28.6 million (M) parameters and 47.2 Giga Floating Point Operations (GFLOPs), outperforming twenty state-of-the-art detectors including YOLOv12 (+0.7% mAP), DEIM (+0.8% mAP), and Mamba-YOLO (+1.5% mAP). Cross-dataset evaluation on Camera-vehicle yields 52.3% mAP without fine-tuning, demonstrating strong generalization across viewpoints and scenarios.","url":"https://doi.org/10.3390/s26030817","authors":["Yan Z","Li Y"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.3390/s26030817","addedAt":"2026-08-31T06:39:56.626Z","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"doi:10.1038/s41598-025-01468-3","name":"Cross perspective AFF-CNN-HTransformer target recognition matching of satellite and UAV aerial images.","source":"pubmed","abstract":"To improve the matching accuracy of cross view object recognition between unmanned aerial vehicle aerial images and satellite images, an object recognition matching algorithm based on attention mechanism and feature fusion of convolutional neural network and Transformer (AFF-CNN-HTransformer) is proposed. Firstly, to address the issue of large-scale differences and unclear image features between drone aerial images and satellite images, a preprocessing algorithm is proposed that uses satellite images as a reference and registers the direction and scale of aerial images based on the attitude angle information of the aerial camera. Secondly, in response to the low accuracy and efficiency of existing image matching methods in matching drone aerial images with satellite images, a two-step matching process is designed. The target matching area of the satellite image is reduced through a rough matching process, and fine matching is performed through an AFF-CNN-HTransformer feature fusion recognition process. The findings from the experiments indicate that, when juxtaposed against currently available image object recognition and matching techniques, the algorithm presented in this study exhibits superior accuracy in the matching process, while simultaneously reducing Match recognition time.","url":"https://doi.org/10.1038/s41598-025-01468-3","authors":["Cheng L","Xu J"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.1038/s41598-025-01468-3","addedAt":"2026-08-31T06:39:56.626Z","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"doi:10.3390/s26051733","name":"POLD-YOLO: A Lightweight YOLO11-Based Algorithm for Insulator Defect Detection in UAV Aerial Images.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s26051733","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.3390/s26051733","addedAt":"2026-08-31T06:39:56.626Z","updatedAt":"2026-08-31T06:40:00.188Z"},{"id":"doi:10.3390/s26020374","name":"Direct UAV-Based Detection of &lt;i&gt;Botrytis cinerea&lt;/i&gt; in Vineyards Using Chlorophyll-Absorption Indices and YOLO Deep Learning.","source":"pubmed","abstract":"The transition toward Agriculture 5.0 requires intelligent and autonomous monitoring systems capable of providing early, accurate, and scalable crop health assessment. This study presents the design and field evaluation of an artificial intelligence (AI)-based unmanned aerial vehicle (UAV) system for the detection of Botrytis cinerea in vineyards using multispectral imagery and deep learning. The proposed system integrates calibrated multispectral data with vegetation indices and a YOLOv8 object detection model to enable automated, geolocated disease detection. Experimental results obtained under real vineyard conditions show that training the model using the Chlorophyll Absorption Ratio Index (CARI) significantly improves detection performance compared to RGB imagery, achieving a precision of 92.6%, a recall of 89.6%, an F1-score of 91.1%, and a mean Average Precision (mAP@50) of 93.9%. In contrast, the RGB-based configuration yielded an F1-score of 68.1% and an mAP@50 of 68.5%. The system achieved an average inference time below 50 ms per image, supporting near real-time UAV operation. These results demonstrate that physiologically informed spectral feature selection substantially enhances early Botrytis cinerea detection and confirm the suitability of the proposed UAV-AI framework for precision viticulture within the Agriculture 5.0 paradigm.","url":"https://doi.org/10.3390/s26020374","authors":["Montalban-Faet G","Pérez-Mateo E","Fayos-Jordan R","Benlloch-Caballero P","Lada A","Segura-Garcia J","Garcia-Pineda M"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.3390/s26020374","addedAt":"2026-08-31T06:39:56.626Z","updatedAt":"2026-08-31T06:40:02.907Z"},{"id":"doi:10.1371/journal.pone.0322662","name":"Pavement crack identification method based on IOtsu-Dd algorithm.","source":"pubmed","abstract":"Rapid identification of highway cracks is greatly significant for highway maintenance. In recent years, the use of unmanned aerial vehicles to collect images of road cracks for automatic recognition has become a topic of concern for many researchers. Based on this, to raise the accuracy and efficiency of crack recognition, a road crack recognition method based on unmanned aerial vehicle images and improved Otsu method is developed. Firstly, certain processing techniques are applied to the images captured by the unmanned aerial vehicle, such as grayscale and equalization, to reduce computational complexity and facilitate subsequent identification of image cracks. Subsequently, to improve recognition accuracy, the image is segmented and the Otsu method is introduced and improved. Finally, a pavement crack recognition model is constructed using damage density, achieving the extraction and recognition of pavement crack features from images. The experiment findings show that the raised recognition model has an average accuracy of 98.2%, a recall rate of 0.75, and an F1 score of 0.85 in crack recognition of unmanned aerial vehicle captured images. This denotes that the raised recognition model has strong effectiveness and high recognition accuracy, and the method can effectively recognize road cracks based on unmanned aerial vehicle images.","url":"https://doi.org/10.1371/journal.pone.0322662","authors":["Yang Y","Wang L","Xiong Q"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.1371/journal.pone.0322662","addedAt":"2026-08-31T06:39:56.626Z","updatedAt":"2026-08-31T06:40:09.764Z"},{"id":"doi:10.1038/s41598-026-37938-5","name":"Real-time object detection for unmanned aerial vehicles based on vision transformer and edge computing.","source":"pubmed","abstract":"Existing lightweight Convolutional Neural Network (CNN) detectors deployed on Unmanned Aerial Vehicle (UAV) platforms struggle with small object recognition and fail to capture long-range spatial dependencies, while standard Vision Transformer (ViT) architectures suffer from quadratic computational complexity that prohibits real-time inference on embedded hardware. This paper bridges this gap by proposing an integrated framework that adapts ViT for UAV-based real-time object detection through edge computing infrastructure. Our work presents three key contributions: (1) a hierarchical attention mechanism with shifted windows that reduces complexity from O(n&#xb2;) to O(n), (2) a dynamic token pruning strategy that adaptively discards uninformative background tokens based on attention variance, and (3) a dual-mode edge-UAV collaborative architecture enabling seamless switching between autonomous onboard processing and server-assisted computation. The lightweight ViT variant achieves 68% reduction in floating-point operations (FLOPs) while preserving 94.3% relative accuracy. Through systematic optimization combining mixed-precision quantization, structured pruning, and operator fusion, we obtain 11.2&#xd7; inference speedup over baseline implementations. Experiments on our collected aerial dataset demonstrate 73.9% mAP@0.5:0.95 at 39.2 frames per second (FPS) on NVIDIA Jetson Xavier NX, surpassing YOLOv5s by 4.7% in accuracy under identical real-time constraints. Notably, small object detection improves by 7.4% Average Precision (AP) compared to CNN baselines. Week-long field trials on DJI Matrice 300 RTK validate sustained performance across varying illumination, platform vibration, and intermittent network connectivity, confirming practical viability for time-critical applications including search and rescue, disaster response, and infrastructure inspection.","url":"https://doi.org/10.1038/s41598-026-37938-5","authors":["Zhu W","Chen K"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.1038/s41598-026-37938-5","addedAt":"2026-08-31T06:39:56.626Z","updatedAt":"2026-08-31T06:40:09.764Z"},{"id":"doi:10.3390/s26051609","name":"A Review on Forest Fire Detection Techniques: Past, Present, and Sustainable Future.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s26051609","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.3390/s26051609","addedAt":"2026-08-31T06:39:56.626Z","updatedAt":"2026-08-31T06:40:00.188Z"},{"id":"doi:10.1371/journal.pone.0341991","name":"DMS-YOLO: Small target detection algorithm based on YOLOv11.","source":"pubmed","abstract":"To address the challenges in vehicle detection from unmanned aerial vehicle (UAV) overhead images, such as small object size, low resolution, complex background, and scale variation, this paper proposes several targeted improvements to the YOLOv11n model. Firstly, inspired by the Cross Stage Partial Networks (CSPNet), a Dynamic Multi-Scale Edge Enhancement Network (DMS-EdgeNet) is designed to improve robustness to local target features. This module applies multi-scale pooling to extract edge features at various scales and dynamically fuses them through adaptive weighting. Secondly, the DynaScale Aggregation Network (DySAN) module is introduced into the neck network, and a multi-level jump connections structure is adopted to fuse low-level and high-level boundary semantics, thereby improving the detection capability of fuzzy boundary targets and improving target positioning accuracy under complex imaging conditions. Finally, a P2 small target layer is added to further improve the accuracy of small target detection. Based on these innovations, we propose a new architecture named Dynamic Multi-scale and Channel-scaled YOLO (DMS-YOLO), significantly improve the model's ability to perceive small targets. Experimental results show that DMS-YOLO improves mAP50 and mAP50-95 by 7.0% and 2.9%, respectively, on the Aerial Traffic Images dataset, and by 5.1% and 3.1% on the VisDrone-DET2019 dataset, demonstrating superior performance over the YOLOv11n baseline.","url":"https://doi.org/10.1371/journal.pone.0341991","authors":["Huang M","Jiang W"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.1371/journal.pone.0341991","addedAt":"2026-08-31T06:39:56.626Z","updatedAt":"2026-08-31T06:40:02.907Z"},{"id":"doi:10.1038/s41598-025-31572-3","name":"Enhanced real-time 6d pose estimation for automatic recovery of in-flight UAVs using distance-aware keypoint heatmaps.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41598-025-31572-3","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.1038/s41598-025-31572-3","addedAt":"2026-08-31T06:39:56.626Z","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"doi:10.3389/fpls.2026.1760799","name":"Improving the estimation accuracy of rice leaf protein nitrogen using data augmentation, explainable machine learning, and UAV hyperspectral imagery.","source":"europepmc","abstract":"","url":"https://doi.org/10.3389/fpls.2026.1760799","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.3389/fpls.2026.1760799","addedAt":"2026-08-31T06:39:56.626Z","updatedAt":"2026-08-31T06:40:00.189Z"},{"id":"doi:10.3390/s26030843","name":"Multi-Layer AI Sensor System for Real-Time GPS Spoofing Detection and Encrypted UAS Control.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s26030843","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.3390/s26030843","addedAt":"2026-08-31T06:39:56.626Z","updatedAt":"2026-08-31T06:40:00.189Z"},{"id":"doi:10.3390/biomimetics9100581","name":"A Novel Aerial-Aquatic Unmanned Vehicle Using Flapping Wings for Underwater Propulsion.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/biomimetics9100581","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.3390/biomimetics9100581","addedAt":"2026-08-31T06:39:56.626Z","updatedAt":"2026-08-31T06:40:00.189Z"},{"id":"doi:10.20944/preprints202411.0829.v1","name":"UAV (Unmanned Aerial Vehicles): Diverse Applications of UAV Datasets in Segmentation, Classification, Detection, and Tracking","source":"europepmc","abstract":"","url":"https://doi.org/10.20944/preprints202411.0829.v1","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.20944/preprints202411.0829.v1","addedAt":"2026-08-31T06:39:56.626Z","updatedAt":"2026-08-31T06:40:00.189Z"},{"id":"doi:10.1093/jxb/erag062","name":"Persistent and transient QTLs underlying growth trajectory of plant height in sorghum.","source":"pubmed","abstract":"Genetic studies based on end-of-season measurements focus only on the outcome of a complex and dynamic process. Uncovering the genetic basis underlying the temporal dynamics of plant height will enhance our understanding of the genotype-to-phenotype relationship. Here, we conducted functional mapping to investigate the temporal dynamics of plant height using the time-series data extracted from unmanned aerial vehicle (UAV)-based RGB imagery from two sorghum populations. Significant correlations were found between the UAV-derived measurements and manual measurements. We modeled the growth trajectory using a logistic function. Among quantitative trait loci (QTLs) identified by mapping with the growth curve parameters as derived traits, several were co-localized with known genes controlling plant height. To further visualize the temporal patterns of genetic effects, we used the logistic function to estimate the height of each genotype at 5 d intervals. Genome scans of the model-estimated heights detected QTLs with dynamic effect changes across development. Persistent QTLs, co-localizing with Dw1, Dw2, Dw3, and qHT7.1, were detectable starting from 40 d after planting, whereas several transient QTLs were only detectable within specific shorter periods or during some growing seasons. These findings enabled us to generate a conceptual figure to depict six potential dynamic patterns of persistent and transient QTLs underlying growth trajectories.","url":"https://doi.org/10.1093/jxb/erag062","authors":["Alladassi BME","Mu Q","Wei J","Miguez FE","Price K","Li X","Yu J"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.1093/jxb/erag062","addedAt":"2026-08-31T06:39:56.626Z","updatedAt":"2026-08-31T06:40:02.907Z"},{"id":"doi:10.3390/s26113570","name":"5G/6G Networks for Wireless Communication and IoT.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s26113570","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.3390/s26113570","addedAt":"2026-08-31T06:39:56.626Z","updatedAt":"2026-08-31T06:39:57.918Z"},{"id":"doi:10.3390/s26103094","name":"Forest Fire Detection Based on Improved YOLO11.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s26103094","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.3390/s26103094","addedAt":"2026-08-31T06:39:56.626Z","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"doi:10.3389/fpls.2026.1841429","name":"ESE-PWDNet: an efficient early-stage pine wilt disease detection network.","source":"europepmc","abstract":"To address the challenge of difficult small target recognition in the early detection of Pine Wilt Disease (PWD), this study proposes an efficient Unmanned Aerial Vehicle remote sensing detection model named ESE-PWDNet (Efficient Small-scale Early PWD Detection Network). Using a DJI Air3 UAV platform, a multi-temporal and multi-view high-resolution dataset of early-stage PWD was independently constructed in the Tangshan Forest Area, Jiangning District, Nanjing City, Jiangsu Province. Based on this dataset, a key module-the Efficient Visual Linear Unit (EFVLU)-was designed. Serving as the foundational building block of ESE-PWDNet, the EFVLU combines with convolutional modules (Conv) to form the backbone network, which efficiently captures global dependencies and improves the detection of small targets through global context while reducing computational complexity. Furthermore, inspired by the PANet architecture and utilizing the Attention State Space Block (ASSB), a novel neck network was designed to empower the model with efficient high-resolution image processing capabilities while maintaining high computational efficiency. In the prediction head, the introduction of the Efficient Multi-scale Attention (EMA) mechanism and the Lightweight Shared Detail Enhanced Convolutional Detection Head (LSDECD) comprehensively enhances the model's perception and localization capabilities for small targets with almost no additional inference computational cost. Experiments on the constructed multi-environment early PWD dataset demonstrate that ESE-PWDNet significantly improves the recognition performance of tiny disease targets in complex scenes. The final model maintains high inference efficiency, achieving a Precision (P) of 75.9% and a Recall (R) of 75.1%, with a low computational complexity of 6.5 GFLOPs and 2.6M parameters. Its comprehensive performance outperforms mainstream comparative models. This research provides a reliable technical solution and data foundation for the early and precise UAV remote sensing monitoring of forestry pests.","url":"https://doi.org/10.3389/fpls.2026.1841429","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.3389/fpls.2026.1841429","addedAt":"2026-08-31T06:39:56.626Z","updatedAt":"2026-08-31T06:39:57.918Z"},{"id":"doi:10.1016/j.psj.2025.106103","name":"Aerial monitoring of turkey behavior using unmanned aerial vehicles and computer vision.","source":"europepmc","abstract":"","url":"https://doi.org/10.1016/j.psj.2025.106103","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.1016/j.psj.2025.106103","addedAt":"2026-08-31T06:39:56.626Z","updatedAt":"2026-08-31T06:40:00.189Z"},{"id":"doi:10.3390/s25206399","name":"Review of Advances in Fire Extinguishing Based on Computer Vision Applications: Methods, Challenges, and Future Directions.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s25206399","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.3390/s25206399","addedAt":"2026-08-31T06:39:56.626Z","updatedAt":"2026-08-31T06:40:00.189Z"},{"id":"doi:10.1038/s41598-026-44153-9","name":"Altitude-resolved prediction of roadside air pollution using UAV measurements and machine learning.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41598-026-44153-9","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.1038/s41598-026-44153-9","addedAt":"2026-08-31T06:39:56.626Z","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"doi:10.7759/cureus.85435","name":"A Systematic Review of Drone Customization and Application in Public Health Innovation.","source":"pubmed","abstract":"A drone, also known as an unmanned aerial vehicle (UAV), is an aircraft operated without a human pilot on board embedded with diverse capabilities. Recent advancements in drone technology have expanded their applicability beyond military and recreational use, enabling critical functions across civilian sectors. In particular, the integration of UAVs into healthcare systems presents new opportunities to overcome logistical barriers, especially in hard-to-reach or underserved regions. This review aims to explore the expanding horizon of drone services within the public health domain and identify future research avenues in this innovative field. In line with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines, this systematic review followed a structured approach to screen and select studies. Initially, a comprehensive search was conducted across five major databases: PubMed, Google Scholar, IEEE Xplore, Web of Science, and Scopus. Search terms included combinations of \"unmanned aerial vehicle,\" \"drone,\" \"UAV\" with \"public health,\" \"healthcare delivery,\" \"medical logistics,\" \"telemedicine,\" and \"remote healthcare.\" Boolean operators and search filters were applied to refine results, yielding an initial count of 1,200 articles from which only 36 have met our inclusion criteria. We found that drones are capable of serving in multiple arenas such as pharmaceutical delivery, blood and organ transportation, disaster response, aerial telemedicine stations, environmental monitoring, remote diagnostics, patient monitoring and care, training and simulation, nutritional support, water and sanitation, psychological support, bio medical waste management, public health surveillance, veterinary care, mobile laboratory services, support of elderly care and education and outreach.","url":"https://doi.org/10.7759/cureus.85435","authors":["Bhattacharya S","Singh A","Tripathi S","Kushwaha P","Mondal H","Ramanathan V","Sikha D","Mudgal SK","Bhattacharjee S","Munda VS","Pradhan KB"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.7759/cureus.85435","addedAt":"2026-08-31T06:39:56.626Z","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"doi:10.20944/preprints202508.0354.v1","name":"Estimating Gully Erosion Induced by Heavy Rainfall Events Using Stereoscopic Imagery and UAV LiDAR","source":"europepmc","abstract":"","url":"https://doi.org/10.20944/preprints202508.0354.v1","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.20944/preprints202508.0354.v1","addedAt":"2026-08-31T06:39:56.626Z","updatedAt":"2026-08-31T06:40:05.995Z"},{"id":"doi:10.1007/s11119-024-10217-x","name":"Transfer learning for plant disease detection model based on low-altitude UAV remote sensing","source":"europepmc","abstract":"The global attention to the utilization of unmanned aerial vehicle remote sensing drones in crop disease-wide detection has led to the urgent need to find an adapted model for different environmental conditions. Therefore, the current study has focused on spatiotemporal usage of different multispectral cameras in acquiring spectral reflectance models of in-field rice bacterial blight stresses. Where, long short-term memory (LSTM) model was compared with the other models in transfer learning strategy for assessing the blight stress severity. The results revealed that by extracting 30% of the data from the target domain and transferring it to the source domain, the adaptability of the model across different sites was effectively enhanced. Besides, LSTM showed high tuning transfer efficiency that demonstrated optimal predictive performance and the shortest training time in transfer tasks. Its coefficient of the prediction set was 0.82, and its residual prediction deviation has reached 2.26. In practice, LSTM enabled the acquisition of reliable prediction results at a minimal sample collection cost while circumventing feature reduction resulting from inter-domain data alignment. When the transfer ratio reached 20%, the coefficient of determination of the prediction set reached 0.71, and the residual prediction deviation reached 1.79. The novelty of this study came from the transfer learning efficiency in improving the model’s application capabilities across the different sites, environment, and unmanned aerial vehicle in farmland disease detection.","url":"https://doi.org/10.1007/s11119-024-10217-x","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.1007/s11119-024-10217-x","addedAt":"2026-08-31T06:39:56.626Z","updatedAt":"2026-08-31T06:39:57.918Z"},{"id":"doi:10.3389/frai.2026.1792086","name":"Class imbalance aware deep semantic segmentation framework for weed and tobacco crops in UAV imagery.","source":"europepmc","abstract":"For accurate pesticide application in precision farming, weeds and tobacco plants must be detected to efficiently apply pesticides to weedy areas. There is potential for automated, precise weed and tobacco detection using unmanned aerial vehicle (UAV)-based imaging. Semantic segmentation is a challenge that can be applied to accurately detect weeds in crop field images. Deep learning-based semantic segmentation techniques promise higher accuracy than prior approaches for pixel-level categorization in classical machine learning. In this study, we introduce a novel approach that enhances the accuracy of pixel-level crop-weed interclass classification. We suggested a DeepLabV3Plus ResNeSt model that was trained using the Lovász cross-entropy combined loss and inverse square root frequency weighted class using the tobacco weed UAV-based dataset, achieving a mean average accuracy (aAcc) of 95.93%, a mean intersection over union (mIoU) of 84.99%, and a mean accuracy (mAcc) score of 90.20%. Due to the limited number of pixels identified as weeds, the aerial images used constitute a limited dataset. Therefore, we adjusted class weights using the inverse square root frequency model, which simplified the segmentation process. We observed that the proposed model achieved the highest mean mIoU, indicating that it can accurately detect weeds and tobacco plants.","url":"https://doi.org/10.3389/frai.2026.1792086","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.3389/frai.2026.1792086","addedAt":"2026-08-31T06:39:56.626Z","updatedAt":"2026-08-31T06:40:00.189Z"},{"id":"doi:10.1007/s43441-025-00865-0","name":"The Use of Unmanned Aerial Vehicles (UAV) on Delivering Biological Samples for COVID-19 and Tuberculosis Diagnosis: A Scoping Review.","source":"pubmed","abstract":"To identify and review scientific evidence from experimental studies utilizing unmanned aerial vehicles (UAVs) to transport samples for the diagnosis of COVID-19 and tuberculosis (TB). This exploratory study aims to support the future development of UAVs for transporting biological samples within the Brazilian Unified Health System (SUS).","url":"https://doi.org/10.1007/s43441-025-00865-0","authors":["Rodrigues OMM","Lopes IG","de Oliveira MEF","Fragoso MAC","de Oliveira MRF","Silva RS","de Castro E Caldo Lima GR","Damazo AS","Martins WJ"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.1007/s43441-025-00865-0","addedAt":"2026-08-31T06:39:56.626Z","updatedAt":"2026-08-31T06:40:02.907Z"},{"id":"doi:10.3390/s25237385","name":"A Review of Video-Based Monitoring Systems for Geohazard Early Warning.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s25237385","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.3390/s25237385","addedAt":"2026-08-31T06:39:56.626Z","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"doi:10.4103/ijcm.ijcm_206_24","name":"Drones in Health Care-A Flying Potential.","source":"europepmc","abstract":"","url":"https://doi.org/10.4103/ijcm.ijcm_206_24","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.4103/ijcm.ijcm_206_24","addedAt":"2026-08-31T06:39:56.626Z","updatedAt":"2026-08-31T06:39:57.918Z"},{"id":"doi:10.3390/plants15101448","name":"Genetic Variation for Autumn-Winter Forage Yield in a Segregating Tetraploid F&lt;sub&gt;1&lt;/sub&gt; Population of &lt;i&gt;Paspalum notatum&lt;/i&gt;.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/plants15101448","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.3390/plants15101448","addedAt":"2026-08-31T06:39:56.626Z","updatedAt":"2026-08-31T06:39:57.918Z"},{"id":"doi:10.3390/s24237679","name":"Composite Improved Algorithm Based on Jellyfish, Particle Swarm and Genetics for UAV Path Planning in Complex Urban Terrain.","source":"pubmed","abstract":"","url":"https://doi.org/10.3390/s24237679","authors":["Wang Q","Yi W"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.3390/s24237679","addedAt":"2026-08-31T06:39:56.626Z","updatedAt":"2026-08-31T06:40:09.764Z"},{"id":"doi:10.3389/frobt.2025.1583479","name":"AUSPEX: An integrated open-source decision-making framework for UAVs in rescue missions.","source":"europepmc","abstract":"","url":"https://doi.org/10.3389/frobt.2025.1583479","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.3389/frobt.2025.1583479","addedAt":"2026-08-31T06:39:56.626Z","updatedAt":"2026-08-31T06:40:09.764Z"},{"id":"doi:10.1109/tip.2024.3512378","name":"SEGSID: A Semantic-Guided Framework for Sonar Image Despeckling.","source":"europepmc","abstract":"","url":"https://doi.org/10.1109/tip.2024.3512378","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.1109/tip.2024.3512378","addedAt":"2026-08-31T06:39:56.626Z","updatedAt":"2026-08-31T06:39:57.918Z"},{"id":"doi:10.3390/s26103185","name":"Synergistic Multi-Model Fusion for Efficient-Accurate Multi-Defect Detection in Power Lines.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s26103185","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.3390/s26103185","addedAt":"2026-08-31T06:39:56.626Z","updatedAt":"2026-08-31T06:40:00.188Z"},{"id":"doi:10.1007/s00484-026-03256-8","name":"Woody plant encroachment alters the vegetative and reproductive phenology of a Vereda palm swamp in Cerrado.","source":"europepmc","abstract":"","url":"https://doi.org/10.1007/s00484-026-03256-8","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.1007/s00484-026-03256-8","addedAt":"2026-08-31T06:39:56.626Z","updatedAt":"2026-08-31T06:39:57.918Z"},{"id":"doi:10.3390/s26010147","name":"Overcoming Scale Variations and Occlusions in Aerial Detection: A Context-Aware DEIM Framework.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s26010147","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.3390/s26010147","addedAt":"2026-08-31T06:39:56.626Z","updatedAt":"2026-08-31T06:40:00.189Z"},{"id":"doi:10.3390/s25164988","name":"Research on Disaster Environment Map Fusion Construction and Reinforcement Learning Navigation Technology Based on Air-Ground Collaborative Multi-Heterogeneous Robot Systems.","source":"pubmed","abstract":"The primary challenge that robots face in disaster rescue is to precisely and efficiently construct disaster maps and achieve autonomous navigation. This paper proposes a method for air-ground collaborative map construction. It utilizes the flight capability of an unmanned aerial vehicle (UAV) to achieve rapid three-dimensional space coverage and complex terrain crossing for rapid and efficient map construction. Meanwhile, it utilizes the stable operation capability of an unmanned ground vehicle (UGV) and the ground detail survey capability to achieve precise map construction. The maps constructed by the two are accurately integrated to obtain precise disaster environment maps. Among them, the map construction and positioning technology is based on the FAST LiDAR-inertial odometry 2 (FAST-LIO2) framework, enabling the robot to achieve precise positioning even in complex environments, thereby obtaining more accurate point cloud maps. Before conducting map fusion, the point cloud is preprocessed first to reduce the density of the point cloud and also minimize the interference of noise and outliers. Subsequently, the coarse and fine registrations of the point clouds are carried out in sequence. The coarse registration is used to reduce the initial pose difference of the two point clouds, which is conducive to the subsequent rapid and efficient fine registration. The coarse registration uses the improved sample consensus initial alignment (SAC-IA) algorithm, which significantly reduces the registration time compared with the traditional SAC-IA algorithm. The precise registration uses the voxelized generalized iterative closest point (VGICP) algorithm. It has a faster registration speed compared with the generalized iterative closest point (GICP) algorithm while ensuring accuracy. In reinforcement learning navigation, we adopted the deep deterministic policy gradient (DDPG) path planning algorithm. Compared with the deep Q-network (DQN) algorithm and the A* algorithm, the DDPG algorithm is more conducive to the robot choosing a better route in a complex and unknown environment, and at the same time, the motion trajectory is smoother. This paper adopts Gazebo simulation. Compared with physical robot operation, it provides a safe, controllable, and cost-effective environment, supports efficient large-scale experiments and algorithm debugging, and also supports flexible sensor simulation and automated verification, thereby optimizing the overall testing process.","url":"https://doi.org/10.3390/s25164988","authors":["Tao H","Zhao W","Zhao L","Wang J"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.3390/s25164988","addedAt":"2026-08-31T06:39:56.626Z","updatedAt":"2026-08-31T06:40:02.533Z"},{"id":"doi:10.3390/plants13213070","name":"Estimating Summer Maize Biomass by Integrating UAV Multispectral Imagery with Crop Physiological Parameters.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/plants13213070","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.3390/plants13213070","addedAt":"2026-08-31T06:39:56.626Z","updatedAt":"2026-08-31T06:39:57.918Z"},{"id":"doi:10.1038/s41598-025-31803-7","name":"An efficient YOLOv12-based framework for detecting extremely small-scale objects.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41598-025-31803-7","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.1038/s41598-025-31803-7","addedAt":"2026-08-31T06:39:56.626Z","updatedAt":"2026-08-31T06:39:57.918Z"},{"id":"doi:10.1631/jzus.b2500830","name":"Enhancing rapeseed biomass and yield estimation with ensemble learning and synergistic multidimensional features.","source":"europepmc","abstract":"","url":"https://doi.org/10.1631/jzus.b2500830","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.1631/jzus.b2500830","addedAt":"2026-08-31T06:39:56.626Z","updatedAt":"2026-08-31T06:39:57.918Z"},{"id":"doi:10.1038/s41598-025-26601-0","name":"An improved YOLO11 UAV toy models target detection model.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41598-025-26601-0","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.1038/s41598-025-26601-0","addedAt":"2026-08-31T06:39:56.626Z","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"doi:10.1016/j.ibneur.2025.09.013","name":"Napping restores working memory and brain activation impaired by sleep deprivation.","source":"pubmed","abstract":"Sleep deprivation (SD) impairs working memory (WM), yet the restorative potential of brief daytime naps remains underexplored. This study examines how naps counteract SD-induced WM deficits through behavioral and neuroimaging mechanisms, focusing on task-positive networks and default mode network (DMN) dynamics.","url":"https://doi.org/10.1016/j.ibneur.2025.09.013","authors":["Ouyang A","Jiang J","Wu L","Lin X","Wang L","Yan Q","Diao X","Li Y","Zhu Y","Zeng L","Peng J","Dong Q"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.1016/j.ibneur.2025.09.013","addedAt":"2026-08-31T06:39:56.626Z","updatedAt":"2026-08-31T06:40:02.532Z"},{"id":"doi:10.1038/s41598-025-31720-9","name":"Classification of time series using information granules for efficient detection of unmanned aerial vehicles faults.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41598-025-31720-9","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.1038/s41598-025-31720-9","addedAt":"2026-08-31T06:39:56.626Z","updatedAt":"2026-08-31T06:39:57.918Z"},{"id":"doi:10.3390/s25196023","name":"Unmanned Airborne Target Detection Method with Multi-Branch Convolution and Attention-Improved C2F Module.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s25196023","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.3390/s25196023","addedAt":"2026-08-31T06:39:56.626Z","updatedAt":"2026-08-31T06:40:00.189Z"},{"id":"doi:10.1016/j.envint.2025.109396","name":"Quantification of greenhouse gas emissions from a municipal solid waste incinerator using an uncrewed aerial vehicle.","source":"pubmed","abstract":"The accurate quantification of greenhouse gas emissions from waste treatment facilities is critical for effective climate change mitigation and regulatory compliance. Measurement-based methods are increasingly emphasized as essential for addressing uncertainties in emission estimates, with uncrewed aerial vehicles (UAVs) recognized for their flexibility and ability to capture spatially resolved data. This study evaluated CO 2 emissions at a municipal solid waste incinerator using UAV monitoring with two quantification methods-the mass balance and inverse Gaussian methods. Ground-based wind data introduced significant uncertainty in CO 2 emission quantification. Therefore, this study proposed using a mounted anemometer to capture high-resolution spatially-resolved wind data. The performance of the proposed quantification methods was assessed by comparing UAV-derived fluxes to reference quantification data to calculate errors, which were then compared across methods to evaluate accuracy. The mass balance method, incorporating spatially-resolved wind data, achieved a mean absolute percentage error (MAPE) of 37.34%, which was a marked improvement compared to the 64.32% MAPE using spatially-averaged wind data. Similarly, the inverse Gaussian method showed a lower MAPE of 46.45% using spatially-resolved wind data, compared to 54.97% using spatially averaged wind data. Additionally, the advantages of each method under varying conditions of wind variability were evaluated. This study demonstrates that spatially-resolved wind measurements with a mounted anemometer improve the accuracy of CO 2 emission calculations. This approach highlights the importance of UAV-based monitoring of greenhouse gases emitted by waste management facilities.","url":"https://doi.org/10.1016/j.envint.2025.109396","authors":["Kim KT","Kim H","Jeong S","Lee YS","Choi E","Kim JY"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.1016/j.envint.2025.109396","addedAt":"2026-08-31T06:39:56.626Z","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"doi:10.21203/rs.3.rs-7012873/v1","name":"Successional pathways after peatland draining: remote sensing and predictive modelling of landscape dynamics","source":"europepmc","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-7012873/v1","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.21203/rs.3.rs-7012873/v1","addedAt":"2026-08-31T06:39:56.626Z","updatedAt":"2026-08-31T06:40:05.995Z"},{"id":"doi:10.1136/bmjph-2025-003145","name":"How technologies are driving digital innovation in mosquito surveillance systems: a global scoping review over the past decade.","source":"europepmc","abstract":"","url":"https://doi.org/10.1136/bmjph-2025-003145","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.1136/bmjph-2025-003145","addedAt":"2026-08-31T06:39:56.626Z","updatedAt":"2026-08-31T06:40:00.189Z"},{"id":"doi:10.3390/s25165201","name":"Innovative Technologies to Improve Occupational Safety in Mining and Construction Industries-Part I.","source":"pubmed","abstract":"Innovative technologies have been helping to improve comfort and safety at work in high-risk sectors for years. The study analysed the impact, along with an assessment of potential implementations (opportunities and limitations) of innovative technological solutions for improving occupational safety in two selected sectors of the economy: mining and construction. The technologies evaluated included unmanned aerial vehicles and inspection robots, the Internet of Things and sensors, artificial intelligence, virtual and augmented reality, innovative individual and collective protective equipment, and exoskeletons. Due to the extensive nature of the obtained materials, the research description has been divided into two articles (Part I and Part II). This article presents the first three technologies. After the scientific literature from the Scopus database was analysed, some research gaps that need to be filled were identified. In addition to the obvious benefits of increased occupational safety for workers, innovative technological solutions also offer employers several economic advantages that affect the industry's sustainability. Innovative technologies are playing an increasingly important role in improving safety in mining and construction. However, further integration and overcoming implementation barriers, such as the need for changes in education, are needed to realise their full potential.","url":"https://doi.org/10.3390/s25165201","authors":["Bęś P","Strzałkowski P","Górniak-Zimroz J","Szóstak M","Janiszewski M"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.3390/s25165201","addedAt":"2026-08-31T06:39:56.626Z","updatedAt":"2026-08-31T06:40:02.533Z"},{"id":"doi:10.3389/fpls.2025.1678648","name":"Adaptive path tracking control of unmanned agricultural machinery with fixed-time super-twisting sliding mode based on RLS-ELM.","source":"europepmc","abstract":"","url":"https://doi.org/10.3389/fpls.2025.1678648","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.3389/fpls.2025.1678648","addedAt":"2026-08-31T06:39:56.626Z","updatedAt":"2026-08-31T06:40:00.189Z"},{"id":"doi:10.1007/s10661-024-13221-w","name":"Detection of tea leaf blight in UAV remote sensing images by integrating super-resolution and detection networks.","source":"europepmc","abstract":"","url":"https://doi.org/10.1007/s10661-024-13221-w","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.1007/s10661-024-13221-w","addedAt":"2026-08-31T06:39:56.626Z","updatedAt":"2026-08-31T06:39:57.918Z"},{"id":"doi:10.3389/fnbot.2025.1643011","name":"Integrated neural network framework for multi-object detection and recognition using UAV imagery.","source":"pubmed","abstract":"Accurate vehicle analysis from aerial imagery has become increasingly vital for emerging technologies and public service applications such as intelligent traffic management, urban planning, autonomous navigation, and military surveillance. However, analyzing UAV-captured video poses several inherent challenges, such as the small size of target vehicles, occlusions, cluttered urban backgrounds, motion blur, and fluctuating lighting conditions which hinder the accuracy and consistency of conventional perception systems. To address these complexities, our research proposes a fully end-to-end deep learning-driven perception pipeline specifically optimized for UAV-based traffic monitoring. The proposed framwork integrates multiple advanced modules: RetinexNet for preprocessing, segmentation using HRNet to preserve high-resolution semantic information, and vehicle detection using the YOLOv11 framework. Deep SORT is employed for efficient vehicle tracking, while CSRNet facilitates high-density vehicle counting. LSTM networks are integrated to predict vehicle trajectories based on temporal patterns, and a combination of DenseNet and SuperPoint is utilized for robust feature extraction. Finally, classification is performed using Vision Transformers (ViTs), leveraging attention mechanisms to ensure accurate recognition across diverse categories. The modular yet unified architecture is designed to handle spatiotemporal dynamics, making it suitable for real-time deployment in diverse UAV platforms.","url":"https://doi.org/10.3389/fnbot.2025.1643011","authors":["Alshehri M","Xue T","Mujtaba G","AlQahtani Y","Almujally NA","Jalal A","Liu H"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.3389/fnbot.2025.1643011","addedAt":"2026-08-31T06:39:56.626Z","updatedAt":"2026-08-31T06:40:02.533Z"},{"id":"doi:10.1002/ps.8334","name":"Assessing the potential spray drift of a six-rotor unmanned aerial vehicle sprayer using a test bench and airborne drift collectors under low wind velocities: impact of atomization characteristics and application parameters.","source":"europepmc","abstract":"","url":"https://doi.org/10.1002/ps.8334","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.1002/ps.8334","addedAt":"2026-08-31T06:39:56.626Z","updatedAt":"2026-08-31T06:39:57.918Z"},{"id":"doi:10.1364/oe.530755","name":"Water-to-air unmanned aerial vehicle (UAV) based rolling shutter optical camera communication (OCC) system with gated recurrent unit neural network (GRU-NN).","source":"europepmc","abstract":"","url":"https://doi.org/10.1364/oe.530755","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.1364/oe.530755","addedAt":"2026-08-31T06:39:56.626Z","updatedAt":"2026-08-31T06:39:57.918Z"},{"id":"doi:10.1038/s41598-025-28618-x","name":"Implementation of monocular visual SLAM with ARCog-NET for aerial robot swarm indoor mapping.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41598-025-28618-x","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.1038/s41598-025-28618-x","addedAt":"2026-08-31T06:39:56.626Z","updatedAt":"2026-08-31T06:40:09.763Z"},{"id":"doi:10.1038/s41598-024-81265-6","name":"Author Correction: LEO navigation observables extraction using CLOCFC network.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41598-024-81265-6","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.1038/s41598-024-81265-6","addedAt":"2026-08-31T06:39:56.626Z","updatedAt":"2026-08-31T06:39:57.918Z"},{"id":"doi:10.2196/75404","name":"Cultivating Disaster Preparedness: Scoping Review of Technology's Contribution to Situational Awareness and Disaster Mindset in Disaster Medicine.","source":"europepmc","abstract":"","url":"https://doi.org/10.2196/75404","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.2196/75404","addedAt":"2026-08-31T06:39:56.626Z","updatedAt":"2026-08-31T06:39:57.918Z"},{"id":"doi:10.1371/journal.pone.0349562","name":"Towards intelligent railway monitoring: A novel hybrid deep learning architecture for railway obstacle detection.","source":"europepmc","abstract":"","url":"https://doi.org/10.1371/journal.pone.0349562","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.1371/journal.pone.0349562","addedAt":"2026-08-31T06:39:56.626Z","updatedAt":"2026-08-31T06:39:57.918Z"},{"id":"doi:10.1038/s41598-026-50354-z","name":"Evaluation of building structural reinforcement performance by internet of things and UAV sensing.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41598-026-50354-z","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.1038/s41598-026-50354-z","addedAt":"2026-08-31T06:39:56.626Z","updatedAt":"2026-08-31T06:39:57.918Z"},{"id":"doi:10.1016/j.marpolbul.2024.117019","name":"SGDBNet: A scene-class guided dual branch network for port UAV images oil spill detection.","source":"europepmc","abstract":"","url":"https://doi.org/10.1016/j.marpolbul.2024.117019","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.1016/j.marpolbul.2024.117019","addedAt":"2026-08-31T06:39:56.626Z","updatedAt":"2026-08-31T06:39:57.918Z"},{"id":"doi:10.1093/milmed/usaf446","name":"Defining the Systemic Response to Flight After Polytrauma in a Murine Model.","source":"pubmed","abstract":"Aeromedical evacuation continues to grow and push altitude boundaries as unmanned aerial vehicle feasibility is explored. The inherent hypobaric, hypoxic environment that comes with aeromedical evacuation is known to be deleterious in various injury models, but no studies have investigated the effects of post-injury flight after polytrauma. This study hypothesized that hypobaric hypoxia inherent to the aeromedical evacuation environment potentiates the proinflammatory milieu of murine polytrauma, worsens systemic and organ-level endotheliopathy, and modulates coagulability.","url":"https://doi.org/10.1093/milmed/usaf446","authors":["Becker ER","Wetmore GC","Wattley LJ","Price AD","England L","Schuster RM","Pritts TA","Goodman MD"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.1093/milmed/usaf446","addedAt":"2026-08-31T06:39:56.626Z","updatedAt":"2026-08-31T06:40:02.907Z"},{"id":"doi:10.1038/s41598-025-10121-y","name":"An unmanned intelligent inspection technology based on improved reinforcement learning algorithm for power large-area multi-scene inspection.","source":"pubmed","abstract":"Patrol path planning, as the basis of unmanned intelligent patrol, significantly influences the efficiency and quality of power system surveillance. Consequently, this study investigates a multi scene unmanned intelligent patrol technology for power large area, based on an improved reinforcement learning algorithm. The unmanned intelligent patrol model is designed according to the patrol UAVs, wireless charging piles distributed in appropriate locations, and the targets to be patrolled (i.e., multiple scenes within a large power area). On this basis, the shortest patrol path is taken as the objective function for unmanned intelligent patrol path planning, with constraints including flight time limitations,, speed restrictions, and safety distance constraint. The Q-learning algorithm, a subset of reinforcement learning, is used to search the solution space of the objective function, enabling the UAV to select actions that maximize benefits based on this Q-values, thereby determining the next patrol target point. To enhance search efficiency and optimize the reinforcement learning algorithm, prior environmental knowledge is added as heuristic information during the initialization process of the standard Q-learning algorithm, mitigating the randomness of early exploration. A new reward function is developed to implement collision-free traversal checking within the reinforcement learning framework. Experimental results demonstrate that the patrol paths generated by this technology not only ensure the UAV patrol's safety but also meet the requirements of the shortest patrol path, guaranteeing a coverage rate exceeding 98.5% for all designated patrol targets.","url":"https://doi.org/10.1038/s41598-025-10121-y","authors":["Wang E","Meng X","Yu J","Wang J","Yin L"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.1038/s41598-025-10121-y","addedAt":"2026-08-31T06:39:56.626Z","updatedAt":"2026-08-31T06:40:09.764Z"},{"id":"doi:10.3390/s26030912","name":"A Review of Wireless Charging Solutions for FANETs in IoT-Enabled Smart Environments.","source":"pubmed","abstract":"Unmanned Aerial Vehicles (UAVs) are emerging as a fundamental part of Flying Ad Hoc Networks (FANETs). However, owing to the limited energy capacity of UAV batteries, wireless power transfer (WPT) technologies have recently gained interest from researchers, offering recharging possibilities for FANETs. Based on this background, this study highlights the need for wireless charging to enhance the operational endurance of FANETs in Internet-of-Things (IoT) environments. This review investigates WPT power replenishment to explore the dynamic usage of UAVs in two ways. The former is for using a UAV as a mobile charger to recharge the ground nodes, whereas the latter is for WPT applications in in-flight (UAV-to-UAV) charging. For the two research domains, we describe the different methods of WPT and its latest advancements through the academic and industrial research literature. We categorized the results based on the power transfer range, efficiency, wireless charger topology (ground or in-flight), coordination among multiple UAVs, and trajectory optimization formulation. A crucial finding is that in-flight UAV charging can extend the endurance by three times compared to using standalone batteries. Furthermore, the integration of IoT for the deployment of a clan of UAVs as a FANET is rigorously emphasized. Our data findings also indicate the present and future forecasting graphs of UAVs and IoT-integrating UAVs in the global market. Existing systems have scalability issues beyond 20 UAVs; therefore, future research requires edge computing for WPT scheduling and blockchains for energy trading.","url":"https://doi.org/10.3390/s26030912","authors":["Aslam N","Wang H","Esmaiel H","Junejo NUR","Agamy A"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.3390/s26030912","addedAt":"2026-08-31T06:39:56.626Z","updatedAt":"2026-08-31T06:40:09.763Z"},{"id":"doi:10.1007/s10661-024-13456-7","name":"Multitemporal monitoring of forest indicator species using UAV and machine learning image recognition.","source":"europepmc","abstract":"","url":"https://doi.org/10.1007/s10661-024-13456-7","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.1007/s10661-024-13456-7","addedAt":"2026-08-31T06:39:56.626Z","updatedAt":"2026-08-31T06:39:57.918Z"},{"id":"doi:10.1098/rsta.2023.0314","name":"Unmanned aerial vehicles equipped with sensor packages to study spatiotemporal variations of air pollutants in industry parks.","source":"europepmc","abstract":"","url":"https://doi.org/10.1098/rsta.2023.0314","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.1098/rsta.2023.0314","addedAt":"2026-08-31T06:39:56.626Z","updatedAt":"2026-08-31T06:39:57.918Z"},{"id":"doi:10.3390/s26051641","name":"A High-Precision Cooperative Localization Method for UAVs Based on Multi-Condition Constraints.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s26051641","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.3390/s26051641","addedAt":"2026-08-31T06:39:56.626Z","updatedAt":"2026-08-31T06:40:09.763Z"},{"id":"doi:10.1038/s41598-024-83243-4","name":"Distributed coordinated motion control of multiple UAVs oriented to optimization of air-ground relay network.","source":"pubmed","abstract":"","url":"https://doi.org/10.1038/s41598-024-83243-4","authors":["Tao C","Liu B"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.1038/s41598-024-83243-4","addedAt":"2026-08-31T06:39:56.626Z","updatedAt":"2026-08-31T06:40:09.764Z"},{"id":"doi:10.3389/fpls.2026.1805999","name":"Low-sample supervised fault diagnosis for fixed-wing UAVs based on multi-scale adaptive state-aware sequence learning.","source":"europepmc","abstract":"","url":"https://doi.org/10.3389/fpls.2026.1805999","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.3389/fpls.2026.1805999","addedAt":"2026-08-31T06:39:56.626Z","updatedAt":"2026-08-31T06:40:09.764Z"},{"id":"doi:10.21203/rs.3.rs-5670412/v1","name":"UAV Mobile Channel Adaptation Using AI","source":"europepmc","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-5670412/v1","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.21203/rs.3.rs-5670412/v1","addedAt":"2026-08-31T06:39:56.626Z","updatedAt":"2026-08-31T06:39:57.918Z"},{"id":"doi:10.3390/s26051453","name":"Smart Sensors for Structural Health Monitoring and Nondestructive Evaluation: 2nd Edition.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s26051453","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.3390/s26051453","addedAt":"2026-08-31T06:39:56.626Z","updatedAt":"2026-08-31T06:39:57.918Z"},{"id":"doi:10.1038/s41598-025-07486-5","name":"Contextual information based anomaly detection for multi-scene aerial videos.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41598-025-07486-5","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.1038/s41598-025-07486-5","addedAt":"2026-08-31T06:39:56.626Z","updatedAt":"2026-08-31T06:40:00.189Z"},{"id":"doi:10.21203/rs.3.rs-5274422/v1","name":"Training, Prediction and Adaptation Using AI for Communication Channel “Ground Control Station – Satellite - Aerial Relay Drone – UAV”","source":"europepmc","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-5274422/v1","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.21203/rs.3.rs-5274422/v1","addedAt":"2026-08-31T06:39:56.626Z","updatedAt":"2026-08-31T06:39:57.918Z"},{"id":"doi:10.3390/s26041390","name":"5G Network Edge Intelligence for Smart Operation and Maintenance of Offshore Wind Power.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s26041390","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.3390/s26041390","addedAt":"2026-08-31T06:39:56.626Z","updatedAt":"2026-08-31T06:40:09.764Z"},{"id":"doi:10.3389/fnbot.2026.1849093","name":"DSPE-ViT: a lightweight vision transformer with dynamic sparse positional encoding for dense small object detection in UAV imagery.","source":"europepmc","abstract":"Background Detecting densely distributed small objects in unmanned aerial vehicle (UAV) aerial imagery poses a persistent challenge in computer vision. Vision Transformers (ViTs), empowered by global self-attention, perform strongly in object detection, but their fixed absolute positional encoding (PE) adapts poorly to scenes where small targets cluster at high density, and redundant encoding dimensions introduce unnecessary computational overhead. Methods This paper presents DSPE-ViT, a lightweight ViT-based detection framework tailored for dense small object detection in UAV imagery. Its core DSPE module comprises two complementary components: a PE Redundancy Pruner that employs learnable soft-gating masks to adaptively suppress redundant PE dimensions, and a Local PE Enhancer that introduces density-aware adaptive-window relative positional encoding to strengthen local spatial perception in high-density regions. Beyond the DSPE module, a Small Object Feature Pyramid Network (SmallObjFPN) integrating SE channel attention with depthwise separable convolutions improves multi-scale feature representation, and the WIoU v3 loss is adopted to refine bounding-box regression for small targets. Results On the VisDrone2019-DET dataset, DSPE-ViT achieves 43.2% mAP@0.5 with only approximately 6.0 M parameters and 15.8 GFLOPs. Cross-domain evaluation on SeaDronesSee yields 30.1% mAP@0.5 under zero-shot transfer and 38.4% after fine-tuning. Conclusion The cross-domain results confirm the generalization capability of the proposed lightweight framework.","url":"https://doi.org/10.3389/fnbot.2026.1849093","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.3389/fnbot.2026.1849093","addedAt":"2026-08-31T06:39:56.626Z","updatedAt":"2026-08-31T06:39:57.918Z"},{"id":"doi:10.3389/fpls.2026.1799510","name":"Construction of an introgression line population for cultivated peanut (&lt;i&gt;Arachis hypogaea&lt;/i&gt;) to facilitate breeding with wild relatives &lt;i&gt;Arachis batizocoi&lt;/i&gt; and &lt;i&gt;Arachis stenosperma&lt;/i&gt;.","source":"europepmc","abstract":"","url":"https://doi.org/10.3389/fpls.2026.1799510","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.3389/fpls.2026.1799510","addedAt":"2026-08-31T06:39:56.626Z","updatedAt":"2026-08-31T06:39:57.918Z"},{"id":"doi:10.1038/s41598-024-78746-z","name":"Face mask identification with enhanced cuckoo optimization and deep learning-based faster regional neural network.","source":"pubmed","abstract":"","url":"https://doi.org/10.1038/s41598-024-78746-z","authors":["Pandey BK","Pandey D","Lelisho ME"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.1038/s41598-024-78746-z","addedAt":"2026-08-31T06:39:56.626Z","updatedAt":"2026-08-31T06:40:09.764Z"},{"id":"doi:10.1109/tcyb.2024.3435029","name":"Relational Maneuvering of Leader-Follower Unmanned Aerial Vehicles for Flexible Formation.","source":"europepmc","abstract":"","url":"https://doi.org/10.1109/tcyb.2024.3435029","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.1109/tcyb.2024.3435029","addedAt":"2026-08-31T06:39:56.626Z","updatedAt":"2026-08-31T06:39:57.918Z"},{"id":"doi:10.3390/v17111411","name":"First Detection of an Alphaherpesvirus Gene in Humpback Whale Blow Samples Collected Noninvasively Using Unmanned Aerial Vehicles.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/v17111411","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.3390/v17111411","addedAt":"2026-08-31T06:39:56.626Z","updatedAt":"2026-08-31T06:39:57.918Z"},{"id":"doi:10.3390/mi17030374","name":"Fault Detection and Isolation of MEMS IMU Array Based on WOA-MVMD-GLT.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/mi17030374","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.3390/mi17030374","addedAt":"2026-08-31T06:39:56.626Z","updatedAt":"2026-08-31T06:39:57.918Z"},{"id":"doi:10.1063/5.0219636","name":"Pitch angle and altitude control for unmanned helicopter based on new approximation-free control.","source":"europepmc","abstract":"","url":"https://doi.org/10.1063/5.0219636","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.1063/5.0219636","addedAt":"2026-08-31T06:39:56.626Z","updatedAt":"2026-08-31T06:39:57.918Z"},{"id":"doi:10.1021/acssensors.5c00898","name":"Stabilizing Ti(III) Species in Black TiO&lt;sub&gt;2&lt;/sub&gt; via a Phosphate Capping Layer for Sub-Parts-per-Billion-Level NO&lt;sub&gt;2&lt;/sub&gt; Detection at Room Temperature.","source":"pubmed","abstract":"The requirement of a high operating temperature to achieve sufficient sensitivity is a common challenge for metal oxide semiconductor (MOS)-based chemiresistive gas sensors because of their intrinsic poor conductivity and scarce active sites. In this study, utilizing the phosphate group as a surface capping layer, we show that the electrochemical reduction (ECR) technique is a simple and effective method to endow MOS nanoarrays with improved conductivity for a long time, even after they undergo high-temperature treatment in air. Using TiO 2 nanotube arrays (Ti NTs) grown on a Ti chip as a proof of principle, a large number of Ti(III) and oxygen vacancy (O V ) species were created by the ECR technique in a phosphate ion-containing electrolyte. The affinity between phosphate groups and TiO 2- x enables the phosphates to act as a capping layer blocking oxygen penetration, thus stabilizing most of the Ti(III) and O V species after a double annealing treatment at 450 &#xb0;C and storage for 3 months at room temperature (RT). Using NO 2 as a model target, the formation of an S-scheme TiO 2- x /BiVO 4 heterojunction on the sensing chip resulted in a remarkable NO 2 sensing performance at RT, with a response of 16.4 toward 100 ppb NO 2 (the response is defined as the ratio of the sensor's resistance in the target gas to that in air) and rapid response/recovery rates (27/55 s). Moreover, the hydrogen bond formed between H 2 O and phosphate groups endowed the sensor with good humidity resistance. Further loading the sensing chip onto an unmanned aerial vehicle demonstrated its high applicability, enabling on-site environmental detection and providing an alternative to traditional gas sensing devices for high-sensitivity, real-time monitoring of trace target gases.","url":"https://doi.org/10.1021/acssensors.5c00898","authors":["Wang H","Zheng J","Du Y","Wang S","Song P","Gao Z","Song YY"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.1021/acssensors.5c00898","addedAt":"2026-08-31T06:39:56.626Z","updatedAt":"2026-08-31T06:40:02.533Z"},{"id":"doi:10.1016/j.dib.2025.111517","name":"An Indian UAV and leaf image dataset for integrated crop health assessment of soybean crop.","source":"europepmc","abstract":"","url":"https://doi.org/10.1016/j.dib.2025.111517","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.1016/j.dib.2025.111517","addedAt":"2026-08-31T06:39:56.626Z","updatedAt":"2026-08-31T06:39:57.918Z"},{"id":"doi:10.3390/plants15020243","name":"UAV NDVI-Based Vigor Zoning Predicts PR-Protein Accumulation and Protein Instability in Chardonnay and Sauvignon Blanc Wines.","source":"pubmed","abstract":"Protein instability in white wines is mainly caused by pathogenesis-related (PR) proteins that survive winemaking and can form haze in bottle. Because PR-protein synthesis is modulated by vine stress, this study evaluated whether unmanned aerial vehicle (UAV) multispectral imagery and NDVI-based vigor zoning can be used as early predictors of protein instability in commercial Chardonnay and Sauvignon Blanc wines. High-resolution multispectral images were acquired over two seasons (2023-2024) in two vineyards, and three vigor zones (high, medium, low) were delineated from the NDVI at the individual vine scale. A total of 180 georeferenced vines were sampled, and musts were analyzed for thaumatin-like proteins and chitinases via RP-HPLC. Separate microvinifications were carried out for each vigor zone and cultivar, and the resulting wines were evaluated for protein instability (heat test) and bentonite requirements. Low-vigor vines consistently produced musts with higher PR-protein concentrations, greater turbidity after heating, and higher bentonite demand than high-vigor vines, with stronger effects in Sauvignon Blanc. These vigor-dependent patterns were stable across vintages, despite contrasting seasonal conditions. Linear discriminant analysis using NDVI, PR-protein content, turbidity, and bentonite dosage correctly separated vigor classes. Overall, UAV NDVI-based vigor zoning provided a robust, non-destructive tool for identifying vineyard zones with increased risk of protein instability. This approach supports precision enology by enabling site-specific stabilization strategies that reduce overtreatment with bentonite and preserve white wine quality.","url":"https://doi.org/10.3390/plants15020243","authors":["Vera-Esmeraldas A","Galleguillos M","Labbé M","Cáceres-Mella A","Rojo F","Salazar F"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.3390/plants15020243","addedAt":"2026-08-31T06:39:56.626Z","updatedAt":"2026-08-31T06:40:02.907Z"},{"id":"doi:10.3390/s25185652","name":"Integrating UAV-Derived Diameter Estimations and Machine Learning for Precision Cabbage Yield Mapping.","source":"pubmed","abstract":"Non-destructive diameter estimation of cabbage heads and yield prediction employing Unmanned Aerial Vehicle (UAV) imagery are superior to conventional approaches, which are labor intensive and time consuming. This approach assesses spatial variability across the field, effective allocation of resources, and supports variable application rates of fertilizer and supply chain management. Here, individual cabbage head diameters were estimated using deep learning-based pose estimation models (YOLOv8s-pose and YOLOv11s-pose) using high spatial resolution RGB images acquired from UAV 6 m during the cabbage-growing season in 2024. With a mean relative error (MRE) of 4.6% and a high mean average precision (mAP) 98.5% at 0.5, YOLOv11s-pose emerged as the best-performing model, verifying its accuracy for pragmatic agricultural use. The approximated diameter was then combined with climatic variables (temperature and rainfall) and canopy reflectance indices (normalized difference vegetation index (NDVI), normalized difference red edge index (NDRE), and green chlorophyll index (CIg)) that were extracted from the multispectral images with 6 m resolution and fed into AI models to develop individual cabbage head fresh weight. Among the machine learning models (MLMs) tested, CatBoost achieved the lowest Mean Squared Error (MSE = 0.025 kg/cabbage), highest R 2 (0.89), and outperformed other models based on the Diebold-Mariano statistical test ( p &lt; 0.05). This finding suggests that an integrated AI-powered framework enhances non-invasive and precise yield estimation in cabbage farming.","url":"https://doi.org/10.3390/s25185652","authors":["Arab ST","Takezaki A","Kogoshi M","Nakano Y","Kikuchi S","Tanaka K","Hayashi K"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.3390/s25185652","addedAt":"2026-08-31T06:39:56.626Z","updatedAt":"2026-08-31T06:40:02.532Z"},{"id":"doi:10.1186/s13021-026-00440-6","name":"UAV-based mangrove biomass estimation and carbon potential valuation in North Sumatra, Indonesia.","source":"europepmc","abstract":"","url":"https://doi.org/10.1186/s13021-026-00440-6","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.1186/s13021-026-00440-6","addedAt":"2026-08-31T06:39:56.626Z","updatedAt":"2026-08-31T06:39:57.918Z"},{"id":"doi:10.3390/mi15080955","name":"Editorial for the Special Issue on Wearable and Implantable Bio-MEMS Devices and Applications.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/mi15080955","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.3390/mi15080955","addedAt":"2026-08-31T06:39:56.626Z","updatedAt":"2026-08-31T06:39:57.918Z"},{"id":"doi:10.22541/au.172489581.14671872/v1","name":"Study on Key Technologies for Air-Water Surface Collaboration of Observation Unmanned Aircraft Vehicle","source":"europepmc","abstract":"","url":"https://doi.org/10.22541/au.172489581.14671872/v1","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.22541/au.172489581.14671872/v1","addedAt":"2026-08-31T06:39:56.626Z","updatedAt":"2026-08-31T06:39:57.918Z"},{"id":"doi:10.3390/s24227279","name":"Adaptive Sharding for UAV Networks: A Deep Reinforcement Learning Approach to Blockchain Optimization.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s24227279","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.3390/s24227279","addedAt":"2026-08-31T06:39:56.626Z","updatedAt":"2026-08-31T06:39:57.918Z"},{"id":"doi:10.1016/j.isatra.2024.06.018","name":"Tracking of invader drone using hybrid unscented Kalman-Continuous Ant Colony Filter (HUK-CACF).","source":"europepmc","abstract":"","url":"https://doi.org/10.1016/j.isatra.2024.06.018","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.1016/j.isatra.2024.06.018","addedAt":"2026-08-31T06:39:56.626Z","updatedAt":"2026-08-31T06:39:57.918Z"},{"id":"doi:10.1016/j.eehl.2025.100179","name":"Climate, urbanization, and infectious disease: Environmental drivers of Foshan's chikungunya outbreak.","source":"europepmc","abstract":"","url":"https://doi.org/10.1016/j.eehl.2025.100179","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.1016/j.eehl.2025.100179","addedAt":"2026-08-31T06:39:56.626Z","updatedAt":"2026-08-31T06:39:57.918Z"},{"id":"doi:10.1109/tnsre.2024.3425636","name":"The SSHVEP Paradigm-Based Brain Controlled Method for Grasping Robot Using MVMD Combined CNN Model.","source":"europepmc","abstract":"","url":"https://doi.org/10.1109/tnsre.2024.3425636","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.1109/tnsre.2024.3425636","addedAt":"2026-08-31T06:39:56.626Z","updatedAt":"2026-08-31T06:39:57.918Z"},{"id":"doi:10.1016/j.ecoenv.2024.116675","name":"Risk assessment of environmental and bystander exposure from agricultural unmanned aerial vehicle sprayers in golden coconut plantations: Effects of droplet size and spray volume.","source":"europepmc","abstract":"","url":"https://doi.org/10.1016/j.ecoenv.2024.116675","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.1016/j.ecoenv.2024.116675","addedAt":"2026-08-31T06:39:56.626Z","updatedAt":"2026-08-31T06:39:57.918Z"},{"id":"doi:10.1007/s11119-023-09997-5","name":"Faba bean above-ground biomass and bean yield estimation based on consumer-grade unmanned aerial vehicle RGB images and ensemble learning","source":"europepmc","abstract":"","url":"https://doi.org/10.1007/s11119-023-09997-5","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.1007/s11119-023-09997-5","addedAt":"2026-08-31T06:39:56.626Z","updatedAt":"2026-08-31T06:39:57.918Z"},{"id":"doi:10.1038/s41598-025-22855-w","name":"A real-time and efficient detector for small object in UAV aerial images.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41598-025-22855-w","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.1038/s41598-025-22855-w","addedAt":"2026-08-31T06:39:56.626Z","updatedAt":"2026-08-31T06:39:57.918Z"},{"id":"doi:10.3389/fnbot.2024.1448538","name":"Target detection and classification via EfficientDet and CNN over unmanned aerial vehicles.","source":"europepmc","abstract":"","url":"https://doi.org/10.3389/fnbot.2024.1448538","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.3389/fnbot.2024.1448538","addedAt":"2026-08-31T06:39:56.626Z","updatedAt":"2026-08-31T06:39:57.918Z"},{"id":"doi:10.3390/bs15081012","name":"Identifying Opponent's Neuroticism Based on Behavior in Wargame.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/bs15081012","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.3390/bs15081012","addedAt":"2026-08-31T06:39:56.626Z","updatedAt":"2026-08-31T06:39:57.918Z"},{"id":"doi:10.3390/s25237326","name":"Factor Graph-Based Time-Synchronized Trajectory Planning for UAVs in Ground Radar Environment Simulation.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s25237326","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.3390/s25237326","addedAt":"2026-08-31T06:39:56.626Z","updatedAt":"2026-08-31T06:40:00.189Z"},{"id":"doi:10.1186/s41256-025-00458-2","name":"The outbreak, response, and reflections on the chikungunya fever epidemic in Foshan City, China.","source":"europepmc","abstract":"","url":"https://doi.org/10.1186/s41256-025-00458-2","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.1186/s41256-025-00458-2","addedAt":"2026-08-31T06:39:56.626Z","updatedAt":"2026-08-31T06:39:57.918Z"},{"id":"doi:10.3389/fpls.2025.1633206","name":"Spatiotemporal pattern analysis of juglans leaf necrosis disease occurrence and development in southern Xinjiang, China, based on UAV.","source":"pubmed","abstract":"Juglans leaf necrosis (JLN) is a physiological disease primarily associated with abiotic stressors such as high temperatures, drought, and soil salinity, though biotic factors may also exacerbate its severity. It is a global concern affecting walnut production in multiple regions, including Xinjiang, China. In recent years, climate change, shifting agricultural practices, and disease transmission have increased its incidence, severely affecting tree growth, yield, and quality. Traditional field-based monitoring is labor-intensive and often inaccurate, underscoring the need for advanced remote sensing. To provide fast and objective monitoring, we used hyperspectral and high-resolution RGB imagery acquired by an unmanned aerial vehicle (UAV) to track JLN from June to September 2024 in southern Xinjiang. Five survey rounds captured the progression of disease severity. Among 17 vegetation indices, the modified red edge simple ratio (MRESRI), carotenoid reflectance index 1 (CRI1), and photochemical reflectance index (PRI) were the most informative for severity mapping. A Random Forest classifier achieved 86% overall accuracy and a Cohen's kappa of 0.825. Spatial patterns showed persistent hotspots in low-lying areas, near roads, and in dense stands. These findings provide an effective, scalable approach for early detection and severity assessment, enabling timely, targeted interventions. Adoption of UAV-based hyperspectral monitoring can improve field surveillance, optimize resource allocation, and support sustainable walnut production.","url":"https://doi.org/10.3389/fpls.2025.1633206","authors":["Zhang H","Guan L","Geng Z","Ma X","Zhang Q","Wang B","Zhang C"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.3389/fpls.2025.1633206","addedAt":"2026-08-31T06:39:56.626Z","updatedAt":"2026-08-31T06:40:02.532Z"},{"id":"doi:10.5281/zenodo.10654550","name":"Datasets of synthetic task flow graphs for evaluating a latency/energy optimization task allocation framework","source":"datacite","abstract":"These datasets of synthetic task flow graphs were generated to evaluate the performance and scalability of an optimal task allocation approach for applications of various structures and sizes in an environment following the edge/hub/cloud paradigm. The system under study comprised an edge device (e.g., a single-board computer attached to an unmanned aerial vehicle (UAV)) interacting with a hub device (e.g., a laptop), which in turn communicated with a more computationally capable cloud server. The objective was the minimization of either overall latency or overall energy consumption, under memory, storage, energy, and task precedence constraints. We considered that a percentage of the tasks required fixed allocation on the edge or hub device. We generated 18 task flow graphs of parallel, serial, and mixed (a combination of parallel and serial) structure with 10, 100, and 1000 nodes, and various in/out degrees, utilizing the Task Graphs For Free (TGFF) random task graph generator [1],[2]. Additional task parameters (e.g., execution time, power consumption, memory, storage, output data size) were included post-generation, using representative random values. More details are provided in README.txt and in [3].References:[1] R. P. Dick, D. L. Rhodes, and W. Wolf, \"TGFF: Task graphs for free,\" Proceedings of the Sixth International Workshop on Hardware/Software Codesign (CODES/CASHE), 1998, pp. 97-101, doi: 10.1109/HSC.1998.666245.[2] R. P. Dick, D. L. Rhodes, and K. Vallerio, \"TGFF,\" https://robertdick.org/projects/tgff/.[3] A. Kouloumpris, G. L. Stavrinides, M. K. Michael, and T. Theocharides, \"An optimization framework for task allocation in the edge/hub/cloud paradigm,\" Future Generation Computer Systems, vol. 155, pp. 354-366, Jun. 2024, doi: 10.1016/j.future.2024.02.005.","url":"https://doi.org/10.5281/zenodo.10654550","authors":["Kouloumpris, Andreas","Stavrinides, Georgios L.","Michael, Maria K.","Theocharides, Theocharis"],"tags":["Task flow graph","Task allocation","Latency optimization","Energy optimization","Binary integer linear programming","Edge/hub/cloud continuum"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.5281/zenodo.10654550","addedAt":"2026-08-31T06:39:56.627Z","updatedAt":"2026-08-31T06:39:57.050Z"},{"id":"doi:10.5281/zenodo.10654551","name":"Datasets of synthetic task flow graphs for evaluating a latency/energy optimization task allocation framework","source":"datacite","abstract":"These datasets of synthetic task flow graphs were generated to evaluate the performance and scalability of an optimal task allocation approach for applications of various structures and sizes in an environment following the edge/hub/cloud paradigm. The system under study comprised an edge device (e.g., a single-board computer attached to an unmanned aerial vehicle (UAV)) interacting with a hub device (e.g., a laptop), which in turn communicated with a more computationally capable cloud server. The objective was the minimization of either overall latency or overall energy consumption, under memory, storage, energy, and task precedence constraints. We considered that a percentage of the tasks required fixed allocation on the edge or hub device. We generated 18 task flow graphs of parallel, serial, and mixed (a combination of parallel and serial) structure with 10, 100, and 1000 nodes, and various in/out degrees, utilizing the Task Graphs For Free (TGFF) random task graph generator [1],[2]. Additional task parameters (e.g., execution time, power consumption, memory, storage, output data size) were included post-generation, using representative random values. More details are provided in README.txt and in [3].References:[1] R. P. Dick, D. L. Rhodes, and W. Wolf, \"TGFF: Task graphs for free,\" Proceedings of the Sixth International Workshop on Hardware/Software Codesign (CODES/CASHE), 1998, pp. 97-101, doi: 10.1109/HSC.1998.666245.[2] R. P. Dick, D. L. Rhodes, and K. Vallerio, \"TGFF,\" https://robertdick.org/projects/tgff/.[3] A. Kouloumpris, G. L. Stavrinides, M. K. Michael, and T. Theocharides, \"An optimization framework for task allocation in the edge/hub/cloud paradigm,\" Future Generation Computer Systems, vol. 155, pp. 354-366, Jun. 2024, doi: 10.1016/j.future.2024.02.005.","url":"https://doi.org/10.5281/zenodo.10654551","authors":["Kouloumpris, Andreas","Stavrinides, Georgios L.","Michael, Maria K.","Theocharides, Theocharis"],"tags":["Task flow graph","Task allocation","Latency optimization","Energy optimization","Binary integer linear programming","Edge/hub/cloud continuum"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.5281/zenodo.10654551","addedAt":"2026-08-31T06:39:56.627Z","updatedAt":"2026-08-31T06:39:57.050Z"},{"id":"doi:10.5281/zenodo.17296417","name":"Aerial Survey of Harmony Point and The Toe (ASPA 133, Nelson Island , Antarctica) for Pygoscelis penguins and Antarctic Shag counts.","source":"datacite","abstract":"This data set contains high resolution ortho-rectified mosaics constructed from drone aerial images, and shapefiles of seabird nests positions. Aerial imagery was collected using a DJI Mavic 3 unmanned aerial vehicle (UAV) equipped with a high-resolution camera at Harmony Point (Fig 1a,b,c). A total of 14 flights were conducted during the peak of the penguin incubation period in December 2024, at an altitude of 100 m above ground level and a speed of 5 m/s, ensuring uniform image resolution while minimizing disturbance to breeding birds. Flights were conducted only under favorable weather conditions. Multiple images were captured with 50% to 70% overlap, totalling 5,932 images. The collected drone imagery was processed using Agisoft Metashape Professional software to generate high-resolution orthomosaic images. Flight operations adhered to guidelines established by the Scientific Committee on Antarctic Research (SCAR) and complied with all permit requirements for drone use in ASPAs. Nest counts were conducted manually by placing a point on each identified nest structure within the orthomosaic images. The positions of Gentoo penguin breeding groups at Harmony Point were marked on-site using a handheld GPS (Garmin Montana I7) to aid in species identification within the orthomosaic images. We did not have access to the Toe site, so the drone was launched from Harmony Point (∼ 3km). Although it is possible to distinguish between the two penguin species based on nest density, additional imagery was captured at an 80 m altitude to confirm species identification. For Antarctic shags, a nest was defined as a bird and its corresponding anatomical structure. For penguin species, a nest was considered occupied if a bird was observed in an incubation posture within the boundary of a guano stain. Data collection was funded by Instituto Antártico Chileno Programa Áreas Marinas Protegidas (AMP 24 09 052) and ANID, through Instituto Milénio de Biodiversidad de Ecosistemas Antárticos y Subantarticos (Programa Iniciativa Milénio ICN2021_002).","url":"https://doi.org/10.5281/zenodo.17296417","authors":["Krüger, Lucas","Pizarro, Eduardo J.","Santa Cruz, Francisco","Mejías, Gaspar","Cabrol, Léa","Vianna, Juliana"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.17296417","addedAt":"2026-08-31T06:39:56.627Z","updatedAt":"2026-08-31T06:39:57.705Z"},{"id":"doi:10.5281/zenodo.19470477","name":"Aerial Survey of Harmony Point and The Toe (ASPA 133, Nelson Island , Antarctica) for Pygoscelis penguins and Antarctic Shag counts.","source":"datacite","abstract":"This data set contains high resolution ortho-rectified mosaics constructed from drone aerial images, and shapefiles of seabird nests positions. Aerial imagery was collected using a DJI Mavic 3 unmanned aerial vehicle (UAV) equipped with a high-resolution camera at Harmony Point (Fig 1a,b,c). A total of 14 flights were conducted during the peak of the penguin incubation period in December 2024, at an altitude of 100 m above ground level and a speed of 5 m/s, ensuring uniform image resolution while minimizing disturbance to breeding birds. Flights were conducted only under favorable weather conditions. Multiple images were captured with 50% to 70% overlap, totalling 5,932 images. The collected drone imagery was processed using Agisoft Metashape Professional software to generate high-resolution orthomosaic images. Flight operations adhered to guidelines established by the Scientific Committee on Antarctic Research (SCAR) and complied with all permit requirements for drone use in ASPAs. Nest counts were conducted manually by placing a point on each identified nest structure within the orthomosaic images. The positions of Gentoo penguin breeding groups at Harmony Point were marked on-site using a handheld GPS (Garmin Montana I7) to aid in species identification within the orthomosaic images. We did not have access to the Toe site, so the drone was launched from Harmony Point (∼ 3km). Although it is possible to distinguish between the two penguin species based on nest density, additional imagery was captured at an 80 m altitude to confirm species identification. For Antarctic shags, a nest was defined as a bird and its corresponding anatomical structure. For penguin species, a nest was considered occupied if a bird was observed in an incubation posture within the boundary of a guano stain. Data collection was funded by Instituto Antártico Chileno Programa Áreas Marinas Protegidas (AMP 24 09 052) and ANID, through Instituto Milénio de Biodiversidad de Ecosistemas Antárticos y Subantarticos (Programa Iniciativa Milénio ICN2021_002).","url":"https://doi.org/10.5281/zenodo.19470477","authors":["Krüger, Lucas","Pizarro, Eduardo J.","Santa Cruz, Francisco","Mejías, Gaspar","Cabrol, Léa","Vianna, Juliana"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.19470477","addedAt":"2026-08-31T06:39:56.627Z","updatedAt":"2026-08-31T06:39:57.705Z"},{"id":"doi:10.5281/zenodo.20400807","name":"F I G U R E 2 in Cost of migration and migratory timing in Western Australian humpback whales","source":"datacite","abstract":"F I G U R E 2 (a) an example of an aerial photograph of a humpback whale cow/calf pair using an unmanned aerial vehicle, and (b) the position of measurements taken to assess body condition.","url":"https://doi.org/10.5281/zenodo.20400807","authors":["Russell, Grace","Cagnazzi, Daniele","Colefax, Andrew","Sprogis, Kate R.","Christiansen, Fredrik"],"tags":["Biodiversity","Taxonomy"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2023","doi":"10.5281/zenodo.20400807","addedAt":"2026-08-31T06:39:56.627Z","updatedAt":"2026-08-31T06:39:57.705Z"},{"id":"doi:10.5281/zenodo.20400808","name":"F I G U R E 2 in Cost of migration and migratory timing in Western Australian humpback whales","source":"datacite","abstract":"F I G U R E 2 (a) an example of an aerial photograph of a humpback whale cow/calf pair using an unmanned aerial vehicle, and (b) the position of measurements taken to assess body condition.","url":"https://doi.org/10.5281/zenodo.20400808","authors":["Russell, Grace","Cagnazzi, Daniele","Colefax, Andrew","Sprogis, Kate R.","Christiansen, Fredrik"],"tags":["Biodiversity","Taxonomy"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2023","doi":"10.5281/zenodo.20400808","addedAt":"2026-08-31T06:39:56.627Z","updatedAt":"2026-08-31T06:39:57.705Z"},{"id":"doi:10.5281/zenodo.21702184","name":"A rule-screened dataset of UAV-related patent publications with manufacturer-resolution provenance","source":"datacite","abstract":"This record contains a manufacturer-conditioned, rule-screened dataset of unmanned aerial vehicle (UAV)-related patent publications and the provenance materials used for manufacturer-name resolution. Manufacturer and name-variant research produced an accepted one-to-many harmonized-assignee authority. Matching that authority against the source patent database yielded 337,138 unique manufacturer-matched publication records. Deterministic screening based on UAV-specific IPC classes, UAV terminology, aviation-platform terminology and enabling-technology context retained 20,492 candidates. Removing four records without an interpretable application year, 305 records from 2024 and one record from 2025 produced a formal release of 20,182 patent publications through application year 2023. The formal publication table contains 46 variables and is accompanied by 13,798 within-cohort citation edges, a data dictionary, validation reports, release manifests, screening replay files and observable enrichment provenance. A second archive preserves two Janes-derived manufacturer workbooks, the accepted-name authority, 42 historical SQL files, 40 historical query-result tables and integrity documentation. The dataset is not a legal-status database, a count of unique inventions or patent families, or an exhaustive census of all UAV patents. Manufacturer-name candidates were checked by one researcher, and no contemporaneous row-level acceptance/rejection log or independent duplicate-review record was retained.","url":"https://doi.org/10.5281/zenodo.21702184","authors":["Deng, Yangu","Zhang, Xiaoge","Shi, Wei","Yang, Yuxi","She, Ying"],"tags":["unmanned aerial vehicles","UAV","patent publications","patent dataset","International Patent Classification","technology intelligence","manufacturer name resolution","assignee harmonization"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.21702184","addedAt":"2026-08-31T06:39:56.627Z","updatedAt":"2026-08-31T06:39:59.256Z"},{"id":"doi:10.5281/zenodo.21702185","name":"A rule-screened dataset of UAV-related patent publications with manufacturer-resolution provenance","source":"datacite","abstract":"This record contains a manufacturer-conditioned, rule-screened dataset of unmanned aerial vehicle (UAV)-related patent publications and the provenance materials used for manufacturer-name resolution. Manufacturer and name-variant research produced an accepted one-to-many harmonized-assignee authority. Matching that authority against the source patent database yielded 337,138 unique manufacturer-matched publication records. Deterministic screening based on UAV-specific IPC classes, UAV terminology, aviation-platform terminology and enabling-technology context retained 20,492 candidates. Removing four records without an interpretable application year, 305 records from 2024 and one record from 2025 produced a formal release of 20,182 patent publications through application year 2023. The formal publication table contains 46 variables and is accompanied by 13,798 within-cohort citation edges, a data dictionary, validation reports, release manifests, screening replay files and observable enrichment provenance. A second archive preserves two Janes-derived manufacturer workbooks, the accepted-name authority, 42 historical SQL files, 40 historical query-result tables and integrity documentation. The dataset is not a legal-status database, a count of unique inventions or patent families, or an exhaustive census of all UAV patents. Manufacturer-name candidates were checked by one researcher, and no contemporaneous row-level acceptance/rejection log or independent duplicate-review record was retained.","url":"https://doi.org/10.5281/zenodo.21702185","authors":["Deng, Yangu","Zhang, Xiaoge","Shi, Wei","Yang, Yuxi","She, Ying"],"tags":["unmanned aerial vehicles","UAV","patent publications","patent dataset","International Patent Classification","technology intelligence","manufacturer name resolution","assignee harmonization"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.21702185","addedAt":"2026-08-31T06:39:56.627Z","updatedAt":"2026-08-31T06:39:59.256Z"},{"id":"doi:10.6084/m9.figshare.33193551.v1","name":"A cetacean detection dataset for convolutional neural networks YOLOv8. part 1. labels","source":"datacite","abstract":"Dataset description.Part 1. Labels dataset with its corresponding dataset of Images: The set of frames was extracted from high-resolution videos, using a Python routine run in Google Colab (See details at https://github.com/mvdelahoz/megafauna-detection-dataset-YOLO). The images and labels of each species contained in one or more folders per species, and each label’s file corresponds to the same image name. Each label contains information about the objects detected in the image, class names with their indexes from 0 to 5, and the (x, y) coordinates, expressed as percentages of the total image height and width.The labelling was conducted in the image-annotation platform Makesense.AI, assigning the following predefined categories to the target species:0 fin whale 1 sperm whale 2 Cuvier's beaked whale 3 pilot whale 4 rissos dolphin 5 striped dolphinThe folders of images and labels have the following structure:‘images_[class]_[folder number of the class]’; files in jpg format‘labels[class]_ [folder number of the class]_[generation date of the folder]; files in .txt format. This structure allows the data to be automatically split into ‘train’ and ‘val’ folders of images and labels, respectively. To do so, a Python algorithm from the Python standard library can be implemented, importing libraries such as ‘os’, ‘random’ and ‘shutil’.Part 2. Video dataset. A set of 26 high-definition videos of approx. 1-minute duration (within the collaborative project ‘Eye in the Sky’) was shared by the Tethys Research Institute as the primary source of the dataset of frames utilized as input data in the present research. Data origin: The videos of marine megafauna were recorded using a medium-sized long-endurance unmanned aerial vehicle (UAV) at 800 ft (≈244 m) altitude along pre-designed transects, at an average speed of 54 knots (≈100 km h⁻¹). The image dataset of still frames was obtained from video intervals with the presence of the animals.Usage: The footage of marine megafauna has been shared by the authors of the project Eye in the Sky (Tethys Research Institute–Cetacean Sanctuary Research, 2024) and is authorized for exclusive use for the gathering and analysis of the image dataset. See details of the video-collection methods and equipment in the technical report (Tethys Research Institute–Cetacean Sanctuary Research. 2024. , Technical Activities Report, Phase I. By Costa, M., De Santis, V., Lanfredi, C., Airoldi, S., Tethys Research Institute. Italy. 75 p.) The annotated dataset of folders with cetacean labels will be publicly available and usable for training and validation studies in object detection with CNNs, and is expected to enable comparisons with other cetacean-annotated datasets already available.See more details of the code and arguments at:https://github.com/mvdelahoz/megafauna-detection-dataset-YOLO.","url":"https://doi.org/10.6084/m9.figshare.33193551.v1","authors":["Maria De La Hoz"],"tags":["Image processing","Pattern recognition","Video processing","Computer vision","Marine and estuarine ecology (incl. marine ichthyology)","Ecosystem services (incl. pollination)","Ecological impacts of climate change and ecological adaptation"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.6084/m9.figshare.33193551.v1","addedAt":"2026-08-31T06:39:56.627Z","updatedAt":"2026-08-31T06:39:56.627Z"},{"id":"doi:10.6084/m9.figshare.33193551.v2","name":"A cetacean detection dataset for convolutional neural networks YOLOv8.","source":"datacite","abstract":"Dataset description.Part 1. Labels dataset with its corresponding dataset of Images: The set of frames was extracted from high-resolution videos, using a Python routine run in Google Colab (See details at https://github.com/mvdelahoz/megafauna-detection-dataset-YOLO). The images and labels of each species contained in one or more folders per species, and each label’s file corresponds to the same image name. Each label contains information about the objects detected in the image, class names with their indexes from 0 to 5, and the (x, y) coordinates, expressed as percentages of the total image height and width.The labelling was conducted in the image-annotation platform Makesense.AI, assigning the following predefined categories to the target species:0 fin whale 1 sperm whale 2 Cuvier's beaked whale 3 pilot whale 4 rissos dolphin 5 striped dolphinThe folders of images and labels have the following structure:‘images_[class]_[folder number of the class]’; files in jpg format‘labels[class]_ [folder number of the class]_[generation date of the folder]; files in .txt format. This structure allows the data to be automatically split into ‘train’ and ‘val’ folders of images and labels, respectively. To do so, a Python algorithm from the Python standard library can be implemented, importing libraries such as ‘os’, ‘random’ and ‘shutil’.Part 2. Video dataset. A set of 26 high-definition videos of approx. 1-minute duration (within the collaborative project ‘Eye in the Sky’) was shared by the Tethys Research Institute as the primary source of the dataset of frames utilized as input data in the present research. Data origin: The videos of marine megafauna were recorded using a medium-sized long-endurance unmanned aerial vehicle (UAV) at 800 ft (≈244 m) altitude along pre-designed transects, at an average speed of 54 knots (≈100 km h⁻¹). The image dataset of still frames was obtained from video intervals with the presence of the animals.Usage: The footage of marine megafauna has been shared by the authors of the project Eye in the Sky (Tethys Research Institute–Cetacean Sanctuary Research, 2024) and is authorized for exclusive use for the gathering and analysis of the image dataset. See details of the video-collection methods and equipment in the technical report (Tethys Research Institute–Cetacean Sanctuary Research. 2024. , Technical Activities Report, Phase I. By Costa, M., De Santis, V., Lanfredi, C., Airoldi, S., Tethys Research Institute. Italy. 75 p.) The annotated dataset of folders with cetacean labels will be publicly available and usable for training and validation studies in object detection with CNNs, and is expected to enable comparisons with other cetacean-annotated datasets already available.See more details of the code and arguments at:https://github.com/mvdelahoz/megafauna-detection-dataset-YOLO.","url":"https://doi.org/10.6084/m9.figshare.33193551.v2","authors":["Maria De La Hoz"],"tags":["Image processing","Pattern recognition","Video processing","Computer vision","Marine and estuarine ecology (incl. marine ichthyology)","Ecosystem services (incl. pollination)","Ecological impacts of climate change and ecological adaptation"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.6084/m9.figshare.33193551.v2","addedAt":"2026-08-31T06:39:56.627Z","updatedAt":"2026-08-31T06:39:56.627Z"},{"id":"doi:10.6084/m9.figshare.33193551","name":"A cetacean detection dataset for convolutional neural networks YOLOv8.","source":"datacite","abstract":"Dataset description.Part 1. Labels dataset with its corresponding dataset of Images: The set of frames was extracted from high-resolution videos, using a Python routine run in Google Colab (See details at https://github.com/mvdelahoz/megafauna-detection-dataset-YOLO). The images and labels of each species contained in one or more folders per species, and each label’s file corresponds to the same image name. Each label contains information about the objects detected in the image, class names with their indexes from 0 to 5, and the (x, y) coordinates, expressed as percentages of the total image height and width.The labelling was conducted in the image-annotation platform Makesense.AI, assigning the following predefined categories to the target species:0 fin whale 1 sperm whale 2 Cuvier's beaked whale 3 pilot whale 4 rissos dolphin 5 striped dolphinThe folders of images and labels have the following structure:‘images_[class]_[folder number of the class]’; files in jpg format‘labels[class]_ [folder number of the class]_[generation date of the folder]; files in .txt format. This structure allows the data to be automatically split into ‘train’ and ‘val’ folders of images and labels, respectively. To do so, a Python algorithm from the Python standard library can be implemented, importing libraries such as ‘os’, ‘random’ and ‘shutil’.Part 2. Video dataset. A set of 26 high-definition videos of approx. 1-minute duration (within the collaborative project ‘Eye in the Sky’) was shared by the Tethys Research Institute as the primary source of the dataset of frames utilized as input data in the present research. Data origin: The videos of marine megafauna were recorded using a medium-sized long-endurance unmanned aerial vehicle (UAV) at 800 ft (≈244 m) altitude along pre-designed transects, at an average speed of 54 knots (≈100 km h⁻¹). The image dataset of still frames was obtained from video intervals with the presence of the animals.Usage: The footage of marine megafauna has been shared by the authors of the project Eye in the Sky (Tethys Research Institute–Cetacean Sanctuary Research, 2024) and is authorized for exclusive use for the gathering and analysis of the image dataset. See details of the video-collection methods and equipment in the technical report (Tethys Research Institute–Cetacean Sanctuary Research. 2024. , Technical Activities Report, Phase I. By Costa, M., De Santis, V., Lanfredi, C., Airoldi, S., Tethys Research Institute. Italy. 75 p.) The annotated dataset of folders with cetacean labels will be publicly available and usable for training and validation studies in object detection with CNNs, and is expected to enable comparisons with other cetacean-annotated datasets already available.See more details of the code and arguments at:https://github.com/mvdelahoz/megafauna-detection-dataset-YOLO.","url":"https://doi.org/10.6084/m9.figshare.33193551","authors":["Maria De La Hoz"],"tags":["Image processing","Pattern recognition","Video processing","Computer vision","Marine and estuarine ecology (incl. marine ichthyology)","Ecosystem services (incl. pollination)","Ecological impacts of climate change and ecological adaptation"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.6084/m9.figshare.33193551","addedAt":"2026-08-31T06:39:56.627Z","updatedAt":"2026-08-31T06:39:56.627Z"},{"id":"doi:10.5281/zenodo.21858513","name":"Sustainable Management and Conservation of Shere Hills Forest Reserve Using Integrated GIS and Remote Sensing Techniques: A Multi-Temporal Analysis","source":"datacite","abstract":"Forest reserves are increasingly threatened by anthropogenic activities and climate-induced environmental change, necessitating robust geospatial techniques for effective monitoring and sustainable management. This study evaluated the long-term dynamics and conservation status of the Shere Hills Forest Reserve (SHFR), Plateau State, Nigeria, using an integrated Geographic Information System (GIS) and Remote Sensing framework. Multi-temporal Landsat imagery (1994, 2004, 2014, and 2024), high-resolution unmanned aerial vehicle (UAV) imagery, Shuttle Radar Topography Mission (SRTM) Digital Elevation Model (DEM) data, and Differential Global Positioning System (DGPS) observations were integrated to assess land use/land cover (LULC) dynamics, vegetation condition, degradation patterns, and forest fragmentation. Random Forest Classification was applied for LULC mapping, while the Normalized Difference Vegetation Index (NDVI), Vegetation Condition Index (VCI), change detection, and landscape fragmentation metrics were used to quantify vegetation health and ecological integrity. Classification results demonstrated high reliability, with overall accuracies ranging from 84.8% to 92.8% and Kappa coefficients between 0.808 and 0.897. The analysis revealed substantial landscape transformation over the 30-year period, characterized by a 177% increase in built-up areas and a 29% decline in cropland, reflecting rapid urban expansion and changing land-use practices. In contrast, forest cover increased by 4.3%, accompanied by improvements in NDVI, VCI, core forest connectivity, and reduced edge density, indicating ecosystem resilience and progressive natural regeneration despite increasing anthropogenic pressure. These findings demonstrate the value of integrating GIS and Remote Sensing for long-term forest monitoring and provide a scientific basis for evidence-based conservation planning, biodiversity protection, and sustainable management of the Shere Hills Forest Reserve and similar montane forest ecosystems.","url":"https://doi.org/10.5281/zenodo.21858513","authors":["Hyelduku Aliyu Mwada","Albert Malangale","Samuel Achonu Ojih","Elisha Saleh Usman","Meshach Arome Omada","Andrew Ugese"],"tags":["Forest Fragmentation","Change Detection","Random Forest Classification."],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.21858513","addedAt":"2026-08-31T06:39:56.627Z","updatedAt":"2026-08-31T06:39:56.627Z"},{"id":"doi:10.5281/zenodo.21858514","name":"Sustainable Management and Conservation of Shere Hills Forest Reserve Using Integrated GIS and Remote Sensing Techniques: A Multi-Temporal Analysis","source":"datacite","abstract":"Forest reserves are increasingly threatened by anthropogenic activities and climate-induced environmental change, necessitating robust geospatial techniques for effective monitoring and sustainable management. This study evaluated the long-term dynamics and conservation status of the Shere Hills Forest Reserve (SHFR), Plateau State, Nigeria, using an integrated Geographic Information System (GIS) and Remote Sensing framework. Multi-temporal Landsat imagery (1994, 2004, 2014, and 2024), high-resolution unmanned aerial vehicle (UAV) imagery, Shuttle Radar Topography Mission (SRTM) Digital Elevation Model (DEM) data, and Differential Global Positioning System (DGPS) observations were integrated to assess land use/land cover (LULC) dynamics, vegetation condition, degradation patterns, and forest fragmentation. Random Forest Classification was applied for LULC mapping, while the Normalized Difference Vegetation Index (NDVI), Vegetation Condition Index (VCI), change detection, and landscape fragmentation metrics were used to quantify vegetation health and ecological integrity. Classification results demonstrated high reliability, with overall accuracies ranging from 84.8% to 92.8% and Kappa coefficients between 0.808 and 0.897. The analysis revealed substantial landscape transformation over the 30-year period, characterized by a 177% increase in built-up areas and a 29% decline in cropland, reflecting rapid urban expansion and changing land-use practices. In contrast, forest cover increased by 4.3%, accompanied by improvements in NDVI, VCI, core forest connectivity, and reduced edge density, indicating ecosystem resilience and progressive natural regeneration despite increasing anthropogenic pressure. These findings demonstrate the value of integrating GIS and Remote Sensing for long-term forest monitoring and provide a scientific basis for evidence-based conservation planning, biodiversity protection, and sustainable management of the Shere Hills Forest Reserve and similar montane forest ecosystems.","url":"https://doi.org/10.5281/zenodo.21858514","authors":["Hyelduku Aliyu Mwada","Albert Malangale","Samuel Achonu Ojih","Elisha Saleh Usman","Meshach Arome Omada","Andrew Ugese"],"tags":["Forest Fragmentation","Change Detection","Random Forest Classification."],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.21858514","addedAt":"2026-08-31T06:39:56.627Z","updatedAt":"2026-08-31T06:39:56.627Z"},{"id":"doi:10.5281/zenodo.21777294","name":"Multi-Year Dynamics of Coastal Sargassum Accumulation Using Sentinel-2 and the Floating Algae Index: A Case Study from Southwestern Puerto Rico","source":"datacite","abstract":"This dataset supports the manuscript: Multi-Year Dynamics of Coastal Sargassum Accumulation Using Sentinel-2 and the Floating Algae Index: A Case Study from Southwestern Puerto Rico The repository contains the processed datasets, environmental observations, validation data, documentation, and R scripts used to quantify coastal Sargassum accumulation within the La Parguera Natural Marine Reserve (LPNMR), southwestern Puerto Rico, from January 2016 through December 2024. Surface Sargassum accumulation was identified using Sentinel-2 Multispectral Instrument (S2-MSI) imagery and the Floating Algae Index (FAI). Environmental variables, including sea surface temperature, wind speed, wind direction, surface current speed, and surface current direction, were obtained from NOAA National Data Buoy Center (NDBC) Station 42085 and the Copernicus Marine Service (CMEMS) Global Ocean Physics Reanalysis product. Satellite observations were validated using unmanned aerial vehicle (UAV) imagery and in situ field observations. This repository includes: Processed Sentinel-2 Floating Algae Index (FAI) datasets NOAA NDBC environmental observations CMEMS surface current data Validation datasets Derived analyses R scripts used for data processing and analysis Documentation supporting data reuse and reproducibility This dataset accompanies the associated manuscript and is intended to support transparency, reproducibility, and future research on coastal Sargassum monitoring using satellite remote sensing.","url":"https://doi.org/10.5281/zenodo.21777294","authors":["Pérez-Pérez, Jenniffer","Hernández, William J.","Armstrong, Roy A."],"tags":["Sargassum","Sentinel-2","Floating Algae Index","Remote sensing","Puerto Rico","La Parguera Natural Marine Reserve","Caribbean Sea","Coastal monitoring"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.21777294","addedAt":"2026-08-31T06:39:56.627Z","updatedAt":"2026-08-31T06:39:56.627Z"},{"id":"doi:10.5281/zenodo.21555376","name":"Multi-Year Dynamics of Coastal Sargassum Accumulation Using Sentinel-2 and the Floating Algae Index: A Case Study from Southwestern Puerto Rico","source":"datacite","abstract":"This dataset supports the manuscript: Multi-Year Dynamics of Coastal Sargassum Accumulation Using Sentinel-2 and the Floating Algae Index: A Case Study from Southwestern Puerto Rico The repository contains the processed datasets, environmental observations, validation data, documentation, and R scripts used to quantify coastal Sargassum accumulation within the La Parguera Natural Marine Reserve (LPNMR), southwestern Puerto Rico, from January 2016 through December 2024. Surface Sargassum accumulation was identified using Sentinel-2 Multispectral Instrument (S2-MSI) imagery and the Floating Algae Index (FAI). Environmental variables, including sea surface temperature, wind speed, wind direction, surface current speed, and surface current direction, were obtained from NOAA National Data Buoy Center (NDBC) Station 42085 and the Copernicus Marine Service (CMEMS) Global Ocean Physics Reanalysis product. Satellite observations were validated using unmanned aerial vehicle (UAV) imagery and in situ field observations. This repository includes: Processed Sentinel-2 Floating Algae Index (FAI) datasets NOAA NDBC environmental observations CMEMS surface current data Validation datasets Derived analyses R scripts used for data processing and analysis Documentation supporting data reuse and reproducibility This dataset accompanies the associated manuscript and is intended to support transparency, reproducibility, and future research on coastal Sargassum monitoring using satellite remote sensing.","url":"https://doi.org/10.5281/zenodo.21555376","authors":["Pérez-Pérez, Jenniffer","Hernández, William J.","Armstrong, Roy A."],"tags":["Sargassum","Sentinel-2","Floating Algae Index","Remote sensing","Puerto Rico","La Parguera Natural Marine Reserve","Caribbean Sea","Coastal monitoring"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.21555376","addedAt":"2026-08-31T06:39:56.627Z","updatedAt":"2026-08-31T06:39:56.627Z"},{"id":"doi:10.5281/zenodo.21555377","name":"Multi-Year Dynamics of Coastal Sargassum Accumulation Using Sentinel-2 and the Floating Algae Index: A Case Study from Southwestern Puerto Rico","source":"datacite","abstract":"This dataset supports the manuscript: Multi-Year Dynamics of Coastal Sargassum Accumulation Using Sentinel-2 and the Floating Algae Index: A Case Study from Southwestern Puerto Rico The repository contains the processed datasets, environmental observations, validation data, documentation, and R scripts used to quantify coastal Sargassum accumulation within the La Parguera Natural Marine Reserve (LPNMR), southwestern Puerto Rico, from January 2016 through December 2024. Surface Sargassum accumulation was identified using Sentinel-2 Multispectral Instrument (S2-MSI) imagery and the Floating Algae Index (FAI). Environmental variables, including sea surface temperature, wind speed, wind direction, surface current speed, and surface current direction, were obtained from NOAA National Data Buoy Center (NDBC) Station 42085 and the Copernicus Marine Service (CMEMS) Global Ocean Physics Reanalysis product. Satellite observations were validated using unmanned aerial vehicle (UAV) imagery and in situ field observations. This repository includes: Processed Sentinel-2 Floating Algae Index (FAI) datasets NOAA NDBC environmental observations CMEMS surface current data Validation datasets Derived analyses R scripts used for data processing and analysis Documentation supporting data reuse and reproducibility This dataset accompanies the associated manuscript and is intended to support transparency, reproducibility, and future research on coastal Sargassum monitoring using satellite remote sensing.","url":"https://doi.org/10.5281/zenodo.21555377","authors":["Pérez-Pérez, Jenniffer","Hernández, William J.","Armstrong, Roy A."],"tags":["Sargassum","Sentinel-2","Floating Algae Index","Remote sensing","Puerto Rico","La Parguera Natural Marine Reserve","Caribbean Sea","Coastal monitoring"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.21555377","addedAt":"2026-08-31T06:39:56.627Z","updatedAt":"2026-08-31T06:39:56.627Z"},{"id":"doi:10.3334/ornldaac/2473","name":"ABoVE: Active Layer Soil Properties and Multispectral Images, Imnavait Creek AK, 2024","source":"datacite","abstract":"This dataset provides active layer soil properties measurements and multi-spectral Unmanned Aerial Vehicle (UAV)-based imagery from Imnavait Creek, Alaska, USA in 2024 in support of the NASA Arctic and Boreal Vulnerability Experiment (ABoVE) Airborne Campaign. Soil properties include active layer thickness, soil roughness height, soil organic matter, bulk density, root biomass, soil carbon and nitrogen, and mineral texture. Soil samples were collected from the top 30 cm from 2024-08-17 to 2024-08-23. A DJI Matrice 210 v2 UAV was flown on 2024-09-04 to collect optical (RGB) images, optical derived digital surface model (DSM), and multispectral images. Normalized difference vegetation index (NDVI) was calculated from multispectral images. This dataset provides a unique, comprehensive, and simultaneous characterization of the active layer, supporting analyses of fine scale heterogeneity of soil processes in the active layer in areas over permafrost and the drivers that influence topsoil organic matter in Arctic foothills tundra. The data is provided in comma separated values (CSV) and GeoTIFF formats.","url":"https://doi.org/10.3334/ornldaac/2473","authors":["Bakian-Dogaheh, K.","Du, J.","Endsley, K.A.","Kim, J.","De Sobrino, R.","Tapia, J.N.","Fulweber, R.","Young, A.B.","Kimball, J.S.","Moghaddam, M."],"tags":["BIOSPHERE, ECOSYSTEMS, TERRESTRIAL ECOSYSTEMS, ALPINE/TUNDRA","LAND SURFACE, SOILS, NITROGEN,","LAND SURFACE, SOILS, ORGANIC MATTER,","LAND SURFACE, SOILS, CARBON,","LAND SURFACE, TOPOGRAPHY, SURFACE ROUGHNESS,","LAND SURFACE, TOPOGRAPHY, TERRAIN ELEVATION, Digital Surface Model (DSM)","LAND SURFACE, FROZEN GROUND, ACTIVE LAYER,","UAV, MSIS"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.3334/ornldaac/2473","addedAt":"2026-08-31T06:39:56.627Z","updatedAt":"2026-08-31T06:39:56.627Z"},{"id":"doi:10.5281/zenodo.18095506","name":"The Digitalisation of Firefighting: The Rise of Unmanned Technologies in Firefighting","source":"datacite","abstract":"This study is a compilation examining the transformation of firefighting technologies from their historical development to today's artificial intelligence-supported, autonomous and unmanned systems from the perspective of the disaster management cycle. The research systematically discusses the areas of application for unmanned land, air and sea vehicles in the prevention, preparedness, response and recovery phases. Thermal camera-equipped unmanned aerial vehicles, land and humanoid robots, sea-based platforms, and unmanned helicopters are classified in terms of their technical characteristics, functions, and application scenarios. Methodologically, the Scopus, Web of Science, IEEE Xplore, ScienceDirect, and SpringerLink databases were searched between 2010 and 2024; peer-reviewed articles, international conference proceedings, and academic book chapters were selected as primary sources. Technical reports and industry data were also used as supporting material. This approach ensured a comprehensive assessment of technological evolution through both scientific literature and industrial applications. Global market analyses reveal that firefighting vehicles and robots are showing a steady growth trend. Europe leads the vehicle market, while North America leads the robot market. The superiority of palletised robots in challenging terrains and the growth potential of the industrial segment are particularly noteworthy. The study emphasises that technological transformation is not merely a technical process, but also necessitates the renewal of safety standards, the establishment of international norms, the widespread implementation of training programmes, and the development of sustainable financing models. In conclusion, this compilation offers a unique contribution that examines the historical development and modernisation processes of firefighting technologies in the context of unmanned systems. It provides a guiding framework for future research with policy recommendations for both academic literature and practical application.","url":"https://doi.org/10.5281/zenodo.18095506","authors":["Varnalı, Tayfun"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.18095506","addedAt":"2026-08-31T06:39:56.627Z","updatedAt":"2026-08-31T06:39:56.627Z"},{"id":"doi:10.5281/zenodo.18095505","name":"The Digitalisation of Firefighting: The Rise of Unmanned Technologies in Firefighting","source":"datacite","abstract":"This study is a compilation examining the transformation of firefighting technologies from their historical development to today's artificial intelligence-supported, autonomous and unmanned systems from the perspective of the disaster management cycle. The research systematically discusses the areas of application for unmanned land, air and sea vehicles in the prevention, preparedness, response and recovery phases. Thermal camera-equipped unmanned aerial vehicles, land and humanoid robots, sea-based platforms, and unmanned helicopters are classified in terms of their technical characteristics, functions, and application scenarios. Methodologically, the Scopus, Web of Science, IEEE Xplore, ScienceDirect, and SpringerLink databases were searched between 2010 and 2024; peer-reviewed articles, international conference proceedings, and academic book chapters were selected as primary sources. Technical reports and industry data were also used as supporting material. This approach ensured a comprehensive assessment of technological evolution through both scientific literature and industrial applications. Global market analyses reveal that firefighting vehicles and robots are showing a steady growth trend. Europe leads the vehicle market, while North America leads the robot market. The superiority of palletised robots in challenging terrains and the growth potential of the industrial segment are particularly noteworthy. The study emphasises that technological transformation is not merely a technical process, but also necessitates the renewal of safety standards, the establishment of international norms, the widespread implementation of training programmes, and the development of sustainable financing models. In conclusion, this compilation offers a unique contribution that examines the historical development and modernisation processes of firefighting technologies in the context of unmanned systems. It provides a guiding framework for future research with policy recommendations for both academic literature and practical application.","url":"https://doi.org/10.5281/zenodo.18095505","authors":["Varnalı, Tayfun"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.18095505","addedAt":"2026-08-31T06:39:56.627Z","updatedAt":"2026-08-31T06:39:56.627Z"},{"id":"doi:10.1594/pangaea.975532","name":"SubSurfaceGeoRobo: A Comprehensive Underground Dataset for SLAM-based Geomonitoring with Sensor Calibration","source":"datacite","abstract":"With the introduction of mobile mapping technologies, geomonitoring has become increasingly efficient and automated. The integration of Simultaneous Localization and Mapping (SLAM) and robotics has effectively addressed the challenges posed by many mapping or monitoring technologies, such as GNSS and unmanned aerial vehicles, which fail to work in underground environments. However, the complexity of underground environments, the high cost of research in this area, and the limited availability of experimental sites have hindered the progress of relevant research in the field of SLAM-based underground geomonitoring. In response, we present SubSurfaceGeoRobo, a dataset specifically focused on underground environments with unique characteristics of subsurface settings, such as extremely narrow passages, high humidity, standing water, reflective surfaces, uneven illumination, dusty conditions, complex geometry, and texture less areas. This aims to provide researchers with a free platform to develop, test, and train their methods, ultimately promoting the advancement of SLAM, navigation, and SLAM-based geomonitoring in underground environments. SubSurfaceGeoRobo was collected in September 2024 in the Freiberg silver mine in Germany using an unmanned ground vehicle equipped with a multi-sensor system, including radars, 3D LiDAR, depth and RGB cameras, IMU, and 2D laser scanners. Data from all sensors are stored as bag files, allowing researchers to replay the collected data and export it into the desired format according to their needs. To ensure the accuracy and usability of the dataset, as well as the effective fusion of sensors, all sensors have been jointly calibrated. The calibration methods and results are included as part of this dataset. Finally, a 3D point cloud ground truth with an accuracy of less than 2 mm, captured using a RIEGL scanner, is provided as a reference standard.","url":"https://doi.org/10.1594/pangaea.975532","authors":["Li, Jing","Benndorf, Jörg","Köhler, Christian","Loskot, Paulina"],"tags":["Geomonitoring","Mapping with SLAM","Multi-sensor","Sensor calibration","Underground dataset","Type","File content","Binary Object"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.1594/pangaea.975532","addedAt":"2026-08-31T06:39:56.627Z","updatedAt":"2026-08-31T06:39:56.627Z"},{"id":"doi:10.5285/47d0718d-7146-44d3-965c-60e62a48b8cc","name":"Aerial survey of Gold Harbour, South Georgia, elephant seal colony during the 2024/2025 season, flight DLPUS_214_32","source":"datacite","abstract":"Aerial survey of the Gold Harbour elephant seal colony, Mirounga leonina, during the 2024/25 season conducted using a remotely piloted aerial system (RPAS). The aerial survey was conducted as part of the Darwin Plus (DPLUS) 214 project: Southwest Atlantic Elephant Seal Population Assessment (SAESPA). Dataset includes the original images and log files, the post-processed imagery data, along with the resulting georeferenced DSM (digital surface model) and an orthorectified mosaic of the imagery. This dataset is from flight number DPLUS_214_32 which was carried out on 2024-11-10. This work was supported by the Overseas Territories Environment and Climate Fund under Grant Darwin Plus ref: DPLUS214: Southwest Atlantic Elephant Seal Population Assessment (SAESPA).","url":"https://doi.org/10.5285/47d0718d-7146-44d3-965c-60e62a48b8cc","authors":["Fenney, Nathan","Coleman, Jamie","Bamford, Connor"],"tags":["\"EARTH SCIENCE\",\"BIOSPHERE\",\"ECOLOGICAL DYNAMICS\",\"COMMUNITY DYNAMICS\",\"BIODIVERSITY FUNCTIONS\"","\"EARTH SCIENCE\",\"BIOSPHERE\",\"ECOLOGICAL DYNAMICS\",\"SPECIES/POPULATION INTERACTIONS\",\"POPULATION DYNAMICS\"","\"EARTH SCIENCE\",\"BIOLOGICAL CLASSIFICATION\",\"ANIMALS/VERTEBRATES\",\"MARINE MAMMALS\",\"PINNIPED\",","\"EARTH SCIENCE\",\"BIOSPHERE\",\"ECOSYSTEMS\",\"TERRESTRIAL ECOSYSTEMS\"","\"EARTH SCIENCE\",\"BIOSPHERE\",\"ECOLOGICAL DYNAMICS\",\"COMMUNITY DYNAMICS\"","South Georgia","aerial survey","digital surface model"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5285/47d0718d-7146-44d3-965c-60e62a48b8cc","addedAt":"2026-08-31T06:39:56.627Z","updatedAt":"2026-08-31T06:39:56.627Z"},{"id":"doi:10.5285/6ecb7be8-6b68-44a7-8aac-abbbb591b4e5","name":"Aerial survey of Hound Bay, South Georgia, elephant seal colony during the 2024/2025 season, flight DLPUS_214_31","source":"datacite","abstract":"Aerial survey of Hound Bay elephant seal colony, Mirounga leonina, during the 2024/25 season conducted using a remotely piloted aerial system (RPAS). The aerial survey was conducted as part of the Darwin Plus (DPLUS) 214 project: Southwest Atlantic Elephant Seal Population Assessment (SAESPA). Dataset includes the original images and log files, the original RINEX GNSS (global navigation satellite system) base station files, the post-processed global navigation satellite system and imagery data, along with the resulting georeferenced DSM (digital surface model) and an orthorectified mosaic of the imagery. This dataset is from flight number DPLUS_214_31 which was carried out on 2024-11-01. This work was supported by the Overseas Territories Environment and Climate Fund under Grant Darwin Plus ref: DPLUS214: Southwest Atlantic Elephant Seal Population Assessment (SAESPA).","url":"https://doi.org/10.5285/6ecb7be8-6b68-44a7-8aac-abbbb591b4e5","authors":["Fenney, Nathan","Coleman, Jamie","Bamford, Connor"],"tags":["\"EARTH SCIENCE\",\"BIOSPHERE\",\"ECOLOGICAL DYNAMICS\",\"COMMUNITY DYNAMICS\",\"BIODIVERSITY FUNCTIONS\"","\"EARTH SCIENCE\",\"BIOSPHERE\",\"ECOLOGICAL DYNAMICS\",\"SPECIES/POPULATION INTERACTIONS\",\"POPULATION DYNAMICS\"","\"EARTH SCIENCE\",\"BIOLOGICAL CLASSIFICATION\",\"ANIMALS/VERTEBRATES\",\"MARINE MAMMALS\",\"PINNIPED\",","\"EARTH SCIENCE\",\"BIOSPHERE\",\"ECOSYSTEMS\",\"TERRESTRIAL ECOSYSTEMS\"","\"EARTH SCIENCE\",\"BIOSPHERE\",\"ECOLOGICAL DYNAMICS\",\"COMMUNITY DYNAMICS\"","South Georgia","aerial survey","digital surface model"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5285/6ecb7be8-6b68-44a7-8aac-abbbb591b4e5","addedAt":"2026-08-31T06:39:56.627Z","updatedAt":"2026-08-31T06:39:56.627Z"},{"id":"doi:10.5285/236cbe3a-5f05-4cef-8e92-7145b0190f0b","name":"Aerial survey of St Andrews Bay, South Georgia, elephant seal colony during the 2024/2025 season, flight DLPUS_214_30","source":"datacite","abstract":"Aerial survey of St Andrews Bay elephant seal colony, Mirounga leonina, during the 2024/25 season conducted using a remotely piloted aerial system (RPAS). The aerial survey was conducted as part of the Darwin Plus (DPLUS) 214 project: Southwest Atlantic Elephant Seal Population Assessment (SAESPA). Dataset includes the original images and log files, the original RINEX GNSS (global navigation satellite system) base station files, the post-processed global navigation satellite system and imagery data, along with the resulting georeferenced DSM (digital surface model) and an orthorectified mosaic of the imagery. This dataset is from flight number DPLUS_214_30 which was carried out on 2024-11-01. This work was supported by the Overseas Territories Environment and Climate Fund under Grant Darwin Plus ref: DPLUS214: Southwest Atlantic Elephant Seal Population Assessment (SAESPA).","url":"https://doi.org/10.5285/236cbe3a-5f05-4cef-8e92-7145b0190f0b","authors":["Fenney, Nathan","Coleman, Jamie","Bamford, Connor"],"tags":["\"EARTH SCIENCE\",\"BIOSPHERE\",\"ECOLOGICAL DYNAMICS\",\"COMMUNITY DYNAMICS\",\"BIODIVERSITY FUNCTIONS\"","\"EARTH SCIENCE\",\"BIOSPHERE\",\"ECOLOGICAL DYNAMICS\",\"SPECIES/POPULATION INTERACTIONS\",\"POPULATION DYNAMICS\"","\"EARTH SCIENCE\",\"BIOLOGICAL CLASSIFICATION\",\"ANIMALS/VERTEBRATES\",\"MARINE MAMMALS\",\"PINNIPED\",","\"EARTH SCIENCE\",\"BIOSPHERE\",\"ECOSYSTEMS\",\"TERRESTRIAL ECOSYSTEMS\"","\"EARTH SCIENCE\",\"BIOSPHERE\",\"ECOLOGICAL DYNAMICS\",\"COMMUNITY DYNAMICS\"","South Georgia","aerial survey","digital surface model"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5285/236cbe3a-5f05-4cef-8e92-7145b0190f0b","addedAt":"2026-08-31T06:39:56.627Z","updatedAt":"2026-08-31T06:39:56.627Z"},{"id":"doi:10.5285/2e870dac-9eb1-4f1d-a5ff-fe18090afd79","name":"Aerial survey of St Andrews Bay, South Georgia, elephant seal colony during the 2024/2025 season, flight DLPUS_214_29","source":"datacite","abstract":"Aerial survey of St Andrews Bay elephant seal colony, Mirounga leonina, during the 2024/25 season conducted using a remotely piloted aerial system (RPAS). The aerial survey was conducted as part of the Darwin Plus (DPLUS) 214 project: Southwest Atlantic Elephant Seal Population Assessment (SAESPA). Dataset includes the original images and log files, the original RINEX GNSS (global navigation satellite system) base station files, the post-processed global navigation satellite system and imagery data, along with the resulting georeferenced DSM (digital surface model) and an orthorectified mosaic of the imagery. This dataset is from flight number DPLUS_214_29 which was carried out on 2024-10-31. This work was supported by the Overseas Territories Environment and Climate Fund under Grant Darwin Plus ref: DPLUS214: Southwest Atlantic Elephant Seal Population Assessment (SAESPA).","url":"https://doi.org/10.5285/2e870dac-9eb1-4f1d-a5ff-fe18090afd79","authors":["Fenney, Nathan","Coleman, Jamie","Bamford, Connor"],"tags":["\"EARTH SCIENCE\",\"BIOSPHERE\",\"ECOLOGICAL DYNAMICS\",\"COMMUNITY DYNAMICS\",\"BIODIVERSITY FUNCTIONS\"","\"EARTH SCIENCE\",\"BIOSPHERE\",\"ECOLOGICAL DYNAMICS\",\"SPECIES/POPULATION INTERACTIONS\",\"POPULATION DYNAMICS\"","\"EARTH SCIENCE\",\"BIOLOGICAL CLASSIFICATION\",\"ANIMALS/VERTEBRATES\",\"MARINE MAMMALS\",\"PINNIPED\",","\"EARTH SCIENCE\",\"BIOSPHERE\",\"ECOSYSTEMS\",\"TERRESTRIAL ECOSYSTEMS\"","\"EARTH SCIENCE\",\"BIOSPHERE\",\"ECOLOGICAL DYNAMICS\",\"COMMUNITY DYNAMICS\"","South Georgia","aerial survey","digital surface model"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5285/2e870dac-9eb1-4f1d-a5ff-fe18090afd79","addedAt":"2026-08-31T06:39:56.627Z","updatedAt":"2026-08-31T06:39:56.627Z"},{"id":"doi:10.5285/a6446ddc-d6bf-4267-9af6-599d2fcc2efa","name":"Aerial survey of St Andrews Bay, South Georgia, elephant seal colony during the 2024/2025 season, flight DLPUS_214_26","source":"datacite","abstract":"Aerial survey of St Andrews Bay elephant seal colony, Mirounga leonina, during the 2024/25 season conducted using a remotely piloted aerial system (RPAS). The aerial survey was conducted as part of the Darwin Plus (DPLUS) 214 project: Southwest Atlantic Elephant Seal Population Assessment (SAESPA). Dataset includes the original images and log files, the original RINEX GNSS (global navigation satellite system) base station files, the post-processed global navigation satellite system and imagery data, along with the resulting georeferenced DSM (digital surface model) and an orthorectified mosaic of the imagery. This dataset is from flight number DPLUS_214_26 which was carried out on 2024-10-30. This work was supported by the Overseas Territories Environment and Climate Fund under Grant Darwin Plus ref: DPLUS214: Southwest Atlantic Elephant Seal Population Assessment (SAESPA).","url":"https://doi.org/10.5285/a6446ddc-d6bf-4267-9af6-599d2fcc2efa","authors":["Fenney, Nathan","Coleman, Jamie","Bamford, Connor"],"tags":["\"EARTH SCIENCE\",\"BIOSPHERE\",\"ECOLOGICAL DYNAMICS\",\"COMMUNITY DYNAMICS\",\"BIODIVERSITY FUNCTIONS\"","\"EARTH SCIENCE\",\"BIOSPHERE\",\"ECOLOGICAL DYNAMICS\",\"SPECIES/POPULATION INTERACTIONS\",\"POPULATION DYNAMICS\"","\"EARTH SCIENCE\",\"BIOLOGICAL CLASSIFICATION\",\"ANIMALS/VERTEBRATES\",\"MARINE MAMMALS\",\"PINNIPED\",","\"EARTH SCIENCE\",\"BIOSPHERE\",\"ECOSYSTEMS\",\"TERRESTRIAL ECOSYSTEMS\"","\"EARTH SCIENCE\",\"BIOSPHERE\",\"ECOLOGICAL DYNAMICS\",\"COMMUNITY DYNAMICS\"","South Georgia","aerial survey","digital surface model"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5285/a6446ddc-d6bf-4267-9af6-599d2fcc2efa","addedAt":"2026-08-31T06:39:56.627Z","updatedAt":"2026-08-31T06:39:56.627Z"},{"id":"doi:10.5285/5224ff55-e347-4d26-9cd5-28c9bb52a805","name":"Aerial survey of St Andrews Bay, South Georgia, elephant seal colony during the 2024/2025 season, flight DLPUS_214_25","source":"datacite","abstract":"Aerial survey of St Andrews Bay elephant seal colony, Mirounga leonina, during the 2024/25 season conducted using a remotely piloted aerial system (RPAS). The aerial survey was conducted as part of the Darwin Plus (DPLUS) 214 project: Southwest Atlantic Elephant Seal Population Assessment (SAESPA). Dataset includes the original images and log files, the original RINEX GNSS (global navigation satellite system) base station files, the post-processed global navigation satellite system and imagery data, along with the resulting georeferenced DSM (digital surface model) and an orthorectified mosaic of the imagery. This dataset is from flight number DPLUS_214_25 which was carried out on 2024-10-29. This work was supported by the Overseas Territories Environment and Climate Fund under Grant Darwin Plus ref: DPLUS214: Southwest Atlantic Elephant Seal Population Assessment (SAESPA).","url":"https://doi.org/10.5285/5224ff55-e347-4d26-9cd5-28c9bb52a805","authors":["Fenney, Nathan","Coleman, Jamie","Bamford, Connor"],"tags":["\"EARTH SCIENCE\",\"BIOSPHERE\",\"ECOLOGICAL DYNAMICS\",\"COMMUNITY DYNAMICS\",\"BIODIVERSITY FUNCTIONS\"","\"EARTH SCIENCE\",\"BIOSPHERE\",\"ECOLOGICAL DYNAMICS\",\"SPECIES/POPULATION INTERACTIONS\",\"POPULATION DYNAMICS\"","\"EARTH SCIENCE\",\"BIOLOGICAL CLASSIFICATION\",\"ANIMALS/VERTEBRATES\",\"MARINE MAMMALS\",\"PINNIPED\",","\"EARTH SCIENCE\",\"BIOSPHERE\",\"ECOSYSTEMS\",\"TERRESTRIAL ECOSYSTEMS\"","\"EARTH SCIENCE\",\"BIOSPHERE\",\"ECOLOGICAL DYNAMICS\",\"COMMUNITY DYNAMICS\"","South Georgia","aerial survey","digital surface model"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5285/5224ff55-e347-4d26-9cd5-28c9bb52a805","addedAt":"2026-08-31T06:39:56.627Z","updatedAt":"2026-08-31T06:39:56.627Z"},{"id":"doi:10.5285/c8ddb9ad-a710-4cf3-b068-cf1c57ff31ae","name":"Aerial survey of St Andrews Bay, South Georgia, elephant seal colony during the 2024/2025 season, flight DLPUS_214_24","source":"datacite","abstract":"Aerial survey of St Andrews Bay elephant seal colony, Mirounga leonina, during the 2024/25 season conducted using a remotely piloted aerial system (RPAS). The aerial survey was conducted as part of the Darwin Plus (DPLUS) 214 project: Southwest Atlantic Elephant Seal Population Assessment (SAESPA). Dataset includes the original images and log files, the original RINEX GNSS (global navigation satellite system) base station files, the post-processed global navigation satellite system and imagery data, along with the resulting georeferenced DSM (digital surface model) and an orthorectified mosaic of the imagery. This dataset is from flight number DPLUS_214_24 which was carried out on 2024-10-28. This work was supported by the Overseas Territories Environment and Climate Fund under Grant Darwin Plus ref: DPLUS214: Southwest Atlantic Elephant Seal Population Assessment (SAESPA).","url":"https://doi.org/10.5285/c8ddb9ad-a710-4cf3-b068-cf1c57ff31ae","authors":["Fenney, Nathan","Coleman, Jamie","Bamford, Connor"],"tags":["\"EARTH SCIENCE\",\"BIOSPHERE\",\"ECOLOGICAL DYNAMICS\",\"COMMUNITY DYNAMICS\",\"BIODIVERSITY FUNCTIONS\"","\"EARTH SCIENCE\",\"BIOSPHERE\",\"ECOLOGICAL DYNAMICS\",\"SPECIES/POPULATION INTERACTIONS\",\"POPULATION DYNAMICS\"","\"EARTH SCIENCE\",\"BIOLOGICAL CLASSIFICATION\",\"ANIMALS/VERTEBRATES\",\"MARINE MAMMALS\",\"PINNIPED\",","\"EARTH SCIENCE\",\"BIOSPHERE\",\"ECOSYSTEMS\",\"TERRESTRIAL ECOSYSTEMS\"","\"EARTH SCIENCE\",\"BIOSPHERE\",\"ECOLOGICAL DYNAMICS\",\"COMMUNITY DYNAMICS\"","South Georgia","aerial survey","digital surface model"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5285/c8ddb9ad-a710-4cf3-b068-cf1c57ff31ae","addedAt":"2026-08-31T06:39:56.627Z","updatedAt":"2026-08-31T06:39:56.627Z"},{"id":"doi:10.5285/85de16ff-a3b2-42b4-a898-aea94ee47b83","name":"Aerial survey of Hound Bay, South Georgia, elephant seal colony during the 2024/2025 season, flight DLPUS_214_23","source":"datacite","abstract":"Aerial survey of Hound Bay elephant seal colony, Mirounga leonina, during the 2024/25 season conducted using a remotely piloted aerial system (RPAS). The aerial survey was conducted as part of the Darwin Plus (DPLUS) 214 project: Southwest Atlantic Elephant Seal Population Assessment (SAESPA). Dataset includes the original images and log files, the original RINEX GNSS (global navigation satellite system) base station files, the post-processed global navigation satellite system and imagery data, along with the resulting georeferenced DSM (digital surface model) and an orthorectified mosaic of the imagery. This dataset is from flight number DPLUS_214_23 which was carried out on 2024-10-27. This work was supported by the Overseas Territories Environment and Climate Fund under Grant Darwin Plus ref: DPLUS214: Southwest Atlantic Elephant Seal Population Assessment (SAESPA).","url":"https://doi.org/10.5285/85de16ff-a3b2-42b4-a898-aea94ee47b83","authors":["Fenney, Nathan","Coleman, Jamie","Bamford, Connor"],"tags":["\"EARTH SCIENCE\",\"BIOSPHERE\",\"ECOLOGICAL DYNAMICS\",\"COMMUNITY DYNAMICS\",\"BIODIVERSITY FUNCTIONS\"","\"EARTH SCIENCE\",\"BIOSPHERE\",\"ECOLOGICAL DYNAMICS\",\"SPECIES/POPULATION INTERACTIONS\",\"POPULATION DYNAMICS\"","\"EARTH SCIENCE\",\"BIOLOGICAL CLASSIFICATION\",\"ANIMALS/VERTEBRATES\",\"MARINE MAMMALS\",\"PINNIPED\",","\"EARTH SCIENCE\",\"BIOSPHERE\",\"ECOSYSTEMS\",\"TERRESTRIAL ECOSYSTEMS\"","\"EARTH SCIENCE\",\"BIOSPHERE\",\"ECOLOGICAL DYNAMICS\",\"COMMUNITY DYNAMICS\"","South Georgia","aerial survey","digital surface model"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5285/85de16ff-a3b2-42b4-a898-aea94ee47b83","addedAt":"2026-08-31T06:39:56.627Z","updatedAt":"2026-08-31T06:39:56.627Z"},{"id":"doi:10.5285/a0eac296-ccc6-4d25-b749-a96fec66d233","name":"Aerial survey of St Andrews Bay, South Georgia, elephant seal colony during the 2024/2025 season, flight DLPUS_214_21","source":"datacite","abstract":"Aerial survey of St Andrews Bay elephant seal colony, Mirounga leonina, during the 2024/25 season conducted using a remotely piloted aerial system (RPAS). The aerial survey was conducted as part of the Darwin Plus (DPLUS) 214 project: Southwest Atlantic Elephant Seal Population Assessment (SAESPA). Dataset includes the original images and log files, the original RINEX GNSS (global navigation satellite system) base station files, the post-processed global navigation satellite system and imagery data, along with the resulting georeferenced DSM (digital surface model) and an orthorectified mosaic of the imagery. This dataset is from flight number DPLUS_214_21 which was carried out on 2024-10-26. This work was supported by the Overseas Territories Environment and Climate Fund under Grant Darwin Plus ref: DPLUS214: Southwest Atlantic Elephant Seal Population Assessment (SAESPA).","url":"https://doi.org/10.5285/a0eac296-ccc6-4d25-b749-a96fec66d233","authors":["Fenney, Nathan","Coleman, Jamie","Bamford, Connor"],"tags":["\"EARTH SCIENCE\",\"BIOSPHERE\",\"ECOLOGICAL DYNAMICS\",\"COMMUNITY DYNAMICS\",\"BIODIVERSITY FUNCTIONS\"","\"EARTH SCIENCE\",\"BIOSPHERE\",\"ECOLOGICAL DYNAMICS\",\"SPECIES/POPULATION INTERACTIONS\",\"POPULATION DYNAMICS\"","\"EARTH SCIENCE\",\"BIOLOGICAL CLASSIFICATION\",\"ANIMALS/VERTEBRATES\",\"MARINE MAMMALS\",\"PINNIPED\",","\"EARTH SCIENCE\",\"BIOSPHERE\",\"ECOSYSTEMS\",\"TERRESTRIAL ECOSYSTEMS\"","\"EARTH SCIENCE\",\"BIOSPHERE\",\"ECOLOGICAL DYNAMICS\",\"COMMUNITY DYNAMICS\"","South Georgia","aerial survey","digital surface model"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5285/a0eac296-ccc6-4d25-b749-a96fec66d233","addedAt":"2026-08-31T06:39:56.627Z","updatedAt":"2026-08-31T06:39:56.627Z"},{"id":"doi:10.5285/463ea06f-6c49-4d6e-a80b-21c88a71c3da","name":"Aerial survey of Hound Bay, South Georgia, elephant seal colony during the 2024/2025 season, flight DLPUS_214_20","source":"datacite","abstract":"Aerial survey of Hound Bay elephant seal colony, Mirounga leonina, during the 2024/25 season conducted using a remotely piloted aerial system (RPAS). The aerial survey was conducted as part of the Darwin Plus (DPLUS) 214 project: Southwest Atlantic Elephant Seal Population Assessment (SAESPA). Dataset includes the original images and log files, the original RINEX GNSS (global navigation satellite system) base station files, the post-processed global navigation satellite system and imagery data, along with the resulting georeferenced DSM (digital surface model) and an orthorectified mosaic of the imagery. This dataset is from flight number DPLUS_214_20 which was carried out on 2024-10-25. This work was supported by the Overseas Territories Environment and Climate Fund under Grant Darwin Plus ref: DPLUS214: Southwest Atlantic Elephant Seal Population Assessment (SAESPA).","url":"https://doi.org/10.5285/463ea06f-6c49-4d6e-a80b-21c88a71c3da","authors":["Fenney, Nathan","Coleman, Jamie","Bamford, Connor"],"tags":["\"EARTH SCIENCE\",\"BIOSPHERE\",\"ECOLOGICAL DYNAMICS\",\"COMMUNITY DYNAMICS\",\"BIODIVERSITY FUNCTIONS\"","\"EARTH SCIENCE\",\"BIOSPHERE\",\"ECOLOGICAL DYNAMICS\",\"SPECIES/POPULATION INTERACTIONS\",\"POPULATION DYNAMICS\"","\"EARTH SCIENCE\",\"BIOLOGICAL CLASSIFICATION\",\"ANIMALS/VERTEBRATES\",\"MARINE MAMMALS\",\"PINNIPED\",","\"EARTH SCIENCE\",\"BIOSPHERE\",\"ECOSYSTEMS\",\"TERRESTRIAL ECOSYSTEMS\"","\"EARTH SCIENCE\",\"BIOSPHERE\",\"ECOLOGICAL DYNAMICS\",\"COMMUNITY DYNAMICS\"","South Georgia","aerial survey","digital surface model"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5285/463ea06f-6c49-4d6e-a80b-21c88a71c3da","addedAt":"2026-08-31T06:39:56.627Z","updatedAt":"2026-08-31T06:39:56.627Z"},{"id":"doi:10.5285/6e4a0ad0-8f43-4b8b-bca5-983db79d2627","name":"Aerial survey of St Andrews Bay, South Georgia, elephant seal colony during the 2024/2025 season, flight DLPUS_214_19","source":"datacite","abstract":"Aerial survey of St Andrews Bay elephant seal colony, Mirounga leonina, during the 2024/25 season conducted using a remotely piloted aerial system (RPAS). The aerial survey was conducted as part of the Darwin Plus (DPLUS) 214 project: Southwest Atlantic Elephant Seal Population Assessment (SAESPA). Dataset includes the original images and log files, the original RINEX GNSS (global navigation satellite system) base station files, the post-processed global navigation satellite system and imagery data, along with the resulting georeferenced DSM (digital surface model) and an orthorectified mosaic of the imagery. This dataset is from flight number DPLUS_214_19 which was carried out on 2024-10-25. This work was supported by the Overseas Territories Environment and Climate Fund under Grant Darwin Plus ref: DPLUS214: Southwest Atlantic Elephant Seal Population Assessment (SAESPA).","url":"https://doi.org/10.5285/6e4a0ad0-8f43-4b8b-bca5-983db79d2627","authors":["Fenney, Nathan","Coleman, Jamie","Bamford, Connor"],"tags":["\"EARTH SCIENCE\",\"BIOSPHERE\",\"ECOLOGICAL DYNAMICS\",\"COMMUNITY DYNAMICS\",\"BIODIVERSITY FUNCTIONS\"","\"EARTH SCIENCE\",\"BIOSPHERE\",\"ECOLOGICAL DYNAMICS\",\"SPECIES/POPULATION INTERACTIONS\",\"POPULATION DYNAMICS\"","\"EARTH SCIENCE\",\"BIOLOGICAL CLASSIFICATION\",\"ANIMALS/VERTEBRATES\",\"MARINE MAMMALS\",\"PINNIPED\",","\"EARTH SCIENCE\",\"BIOSPHERE\",\"ECOSYSTEMS\",\"TERRESTRIAL ECOSYSTEMS\"","\"EARTH SCIENCE\",\"BIOSPHERE\",\"ECOLOGICAL DYNAMICS\",\"COMMUNITY DYNAMICS\"","South Georgia","aerial survey","digital surface model"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5285/6e4a0ad0-8f43-4b8b-bca5-983db79d2627","addedAt":"2026-08-31T06:39:56.627Z","updatedAt":"2026-08-31T06:39:56.627Z"},{"id":"doi:10.5285/fb560068-04ae-4afb-bbd1-86a1e0003474","name":"Aerial survey of St Andrews Bay, South Georgia, elephant seal colony during the 2024/2025 season, flight DLPUS_214_17","source":"datacite","abstract":"Aerial survey of St Andrews Bay elephant seal colony, Mirounga leonina, during the 2024/25 season conducted using a remotely piloted aerial system (RPAS). The aerial survey was conducted as part of the Darwin Plus (DPLUS) 214 project: Southwest Atlantic Elephant Seal Population Assessment (SAESPA). Dataset includes the original images and log files, the original RINEX GNSS (global navigation satellite system) base station files, the post-processed global navigation satellite system and imagery data, along with the resulting georeferenced DSM (digital surface model) and an orthorectified mosaic of the imagery. This dataset is from flight number DPLUS_214_17 which was carried out on 2024-10-22. This work was supported by the Overseas Territories Environment and Climate Fund under Grant Darwin Plus ref: DPLUS214: Southwest Atlantic Elephant Seal Population Assessment (SAESPA).","url":"https://doi.org/10.5285/fb560068-04ae-4afb-bbd1-86a1e0003474","authors":["Fenney, Nathan","Coleman, Jamie","Bamford, Connor"],"tags":["\"EARTH SCIENCE\",\"BIOSPHERE\",\"ECOLOGICAL DYNAMICS\",\"COMMUNITY DYNAMICS\",\"BIODIVERSITY FUNCTIONS\"","\"EARTH SCIENCE\",\"BIOSPHERE\",\"ECOLOGICAL DYNAMICS\",\"SPECIES/POPULATION INTERACTIONS\",\"POPULATION DYNAMICS\"","\"EARTH SCIENCE\",\"BIOLOGICAL CLASSIFICATION\",\"ANIMALS/VERTEBRATES\",\"MARINE MAMMALS\",\"PINNIPED\",","\"EARTH SCIENCE\",\"BIOSPHERE\",\"ECOSYSTEMS\",\"TERRESTRIAL ECOSYSTEMS\"","\"EARTH SCIENCE\",\"BIOSPHERE\",\"ECOLOGICAL DYNAMICS\",\"COMMUNITY DYNAMICS\"","South Georgia","aerial survey","digital surface model"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5285/fb560068-04ae-4afb-bbd1-86a1e0003474","addedAt":"2026-08-31T06:39:56.627Z","updatedAt":"2026-08-31T06:39:56.627Z"},{"id":"doi:10.5285/865373e6-0b33-418e-9b80-9442dccbcd3e","name":"Aerial survey of St Andrews Bay, South Georgia, elephant seal colony during the 2024/2025 season, flight DLPUS_214_16","source":"datacite","abstract":"Aerial survey of St Andrews Bay elephant seal colony, Mirounga leonina, during the 2024/25 season conducted using a remotely piloted aerial system (RPAS). The aerial survey was conducted as part of the Darwin Plus (DPLUS) 214 project: Southwest Atlantic Elephant Seal Population Assessment (SAESPA). Dataset includes the original images and log files, the original RINEX GNSS (global navigation satellite system) base station files, the post-processed global navigation satellite system and imagery data, along with the resulting georeferenced DSM (digital surface model) and an orthorectified mosaic of the imagery. This dataset is from flight number DPLUS_214_16 which was carried out on 2024-01-21. This work was supported by the Overseas Territories Environment and Climate Fund under Grant Darwin Plus ref: DPLUS214: Southwest Atlantic Elephant Seal Population Assessment (SAESPA).","url":"https://doi.org/10.5285/865373e6-0b33-418e-9b80-9442dccbcd3e","authors":["Fenney, Nathan","Coleman, Jamie","Bamford, Connor"],"tags":["\"EARTH SCIENCE\",\"BIOSPHERE\",\"ECOLOGICAL DYNAMICS\",\"COMMUNITY DYNAMICS\",\"BIODIVERSITY FUNCTIONS\"","\"EARTH SCIENCE\",\"BIOSPHERE\",\"ECOLOGICAL DYNAMICS\",\"SPECIES/POPULATION INTERACTIONS\",\"POPULATION DYNAMICS\"","\"EARTH SCIENCE\",\"BIOLOGICAL CLASSIFICATION\",\"ANIMALS/VERTEBRATES\",\"MARINE MAMMALS\",\"PINNIPED\",","\"EARTH SCIENCE\",\"BIOSPHERE\",\"ECOSYSTEMS\",\"TERRESTRIAL ECOSYSTEMS\"","\"EARTH SCIENCE\",\"BIOSPHERE\",\"ECOLOGICAL DYNAMICS\",\"COMMUNITY DYNAMICS\"","South Georgia","aerial survey","digital surface model"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5285/865373e6-0b33-418e-9b80-9442dccbcd3e","addedAt":"2026-08-31T06:39:56.627Z","updatedAt":"2026-08-31T06:39:56.627Z"},{"id":"doi:10.5285/a0c38c31-694c-4f07-a178-66f219fca5d9","name":"Aerial survey of Hound Bay, South Georgia, elephant seal colony during the 2024/2025 season, flight DLPUS_214_15","source":"datacite","abstract":"Aerial survey of Hound Bay elephant seal colony, Mirounga leonina, during the 2024/25 season conducted using a remotely piloted aerial system (RPAS). The aerial survey was conducted as part of the Darwin Plus (DPLUS) 214 project: Southwest Atlantic Elephant Seal Population Assessment (SAESPA). Dataset includes the original images and log files, the original RINEX GNSS (global navigation satellite system) base station files, the post-processed global navigation satellite system and imagery data, along with the resulting georeferenced DSM (digital surface model) and an orthorectified mosaic of the imagery. This dataset is from flight number DPLUS_214_15 which was carried out on 2024-10-21. This work was supported by the Overseas Territories Environment and Climate Fund under Grant Darwin Plus ref: DPLUS214: Southwest Atlantic Elephant Seal Population Assessment (SAESPA).","url":"https://doi.org/10.5285/a0c38c31-694c-4f07-a178-66f219fca5d9","authors":["Fenney, Nathan","Coleman, Jamie","Bamford, Connor"],"tags":["\"EARTH SCIENCE\",\"BIOSPHERE\",\"ECOLOGICAL DYNAMICS\",\"COMMUNITY DYNAMICS\",\"BIODIVERSITY FUNCTIONS\"","\"EARTH SCIENCE\",\"BIOSPHERE\",\"ECOLOGICAL DYNAMICS\",\"SPECIES/POPULATION INTERACTIONS\",\"POPULATION DYNAMICS\"","\"EARTH SCIENCE\",\"BIOLOGICAL CLASSIFICATION\",\"ANIMALS/VERTEBRATES\",\"MARINE MAMMALS\",\"PINNIPED\",","\"EARTH SCIENCE\",\"BIOSPHERE\",\"ECOSYSTEMS\",\"TERRESTRIAL ECOSYSTEMS\"","\"EARTH SCIENCE\",\"BIOSPHERE\",\"ECOLOGICAL DYNAMICS\",\"COMMUNITY DYNAMICS\"","South Georgia","aerial survey","digital surface model"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5285/a0c38c31-694c-4f07-a178-66f219fca5d9","addedAt":"2026-08-31T06:39:56.627Z","updatedAt":"2026-08-31T06:39:56.627Z"},{"id":"doi:10.5285/c2346fb2-7ef0-421c-9511-6ba7701f0f0a","name":"Aerial survey of St Andrews Bay, South Georgia, elephant seal colony during the 2024/2025 season, flight DLPUS_214_12","source":"datacite","abstract":"Aerial survey of St Andrews Bay elephant seal colony, Mirounga leonina, during the 2024/25 season conducted using a remotely piloted aerial system (RPAS). The aerial survey was conducted as part of the Darwin Plus (DPLUS) 214 project: Southwest Atlantic Elephant Seal Population Assessment (SAESPA). Dataset includes the original images and log files, the original RINEX GNSS (global navigation satellite system) base station files, the post-processed global navigation satellite system and imagery data, along with the resulting georeferenced DSM (digital surface model) and an orthorectified mosaic of the imagery. This dataset is from flight number DPLUS_214_12 which was carried out on 2024-10-20. This work was supported by the Overseas Territories Environment and Climate Fund under Grant Darwin Plus ref: DPLUS214: Southwest Atlantic Elephant Seal Population Assessment (SAESPA).","url":"https://doi.org/10.5285/c2346fb2-7ef0-421c-9511-6ba7701f0f0a","authors":["Fenney, Nathan","Coleman, Jamie","Bamford, Connor"],"tags":["\"EARTH SCIENCE\",\"BIOSPHERE\",\"ECOLOGICAL DYNAMICS\",\"COMMUNITY DYNAMICS\",\"BIODIVERSITY FUNCTIONS\"","\"EARTH SCIENCE\",\"BIOSPHERE\",\"ECOLOGICAL DYNAMICS\",\"SPECIES/POPULATION INTERACTIONS\",\"POPULATION DYNAMICS\"","\"EARTH SCIENCE\",\"BIOLOGICAL CLASSIFICATION\",\"ANIMALS/VERTEBRATES\",\"MARINE MAMMALS\",\"PINNIPED\",","\"EARTH SCIENCE\",\"BIOSPHERE\",\"ECOSYSTEMS\",\"TERRESTRIAL ECOSYSTEMS\"","\"EARTH SCIENCE\",\"BIOSPHERE\",\"ECOLOGICAL DYNAMICS\",\"COMMUNITY DYNAMICS\"","South Georgia","aerial survey","digital surface model"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5285/c2346fb2-7ef0-421c-9511-6ba7701f0f0a","addedAt":"2026-08-31T06:39:56.627Z","updatedAt":"2026-08-31T06:39:56.627Z"},{"id":"doi:10.5285/14b142da-9341-471b-af7a-8613f0fbbb25","name":"Aerial survey of St Andrews Bay, South Georgia, elephant seal colony during the 2024/2025 season, flight DLPUS_214_11","source":"datacite","abstract":"Aerial survey of St Andrews Bay elephant seal colony, Mirounga leonina, during the 2024/25 season conducted using a remotely piloted aerial system (RPAS). The aerial survey was conducted as part of the Darwin Plus (DPLUS) 214 project: Southwest Atlantic Elephant Seal Population Assessment (SAESPA). Dataset includes the original images and log files, the original RINEX GNSS (global navigation satellite system) base station files, the post-processed global navigation satellite system and imagery data, along with the resulting georeferenced DSM (digital surface model) and an orthorectified mosaic of the imagery. This dataset is from flight number DPLUS_214_11 which was carried out on 2024-10-19. This work was supported by the Overseas Territories Environment and Climate Fund under Grant Darwin Plus ref: DPLUS214: Southwest Atlantic Elephant Seal Population Assessment (SAESPA).","url":"https://doi.org/10.5285/14b142da-9341-471b-af7a-8613f0fbbb25","authors":["Fenney, Nathan","Coleman, Jamie","Bamford, Connor"],"tags":["\"EARTH SCIENCE\",\"BIOSPHERE\",\"ECOLOGICAL DYNAMICS\",\"COMMUNITY DYNAMICS\",\"BIODIVERSITY FUNCTIONS\"","\"EARTH SCIENCE\",\"BIOSPHERE\",\"ECOLOGICAL DYNAMICS\",\"SPECIES/POPULATION INTERACTIONS\",\"POPULATION DYNAMICS\"","\"EARTH SCIENCE\",\"BIOLOGICAL CLASSIFICATION\",\"ANIMALS/VERTEBRATES\",\"MARINE MAMMALS\",\"PINNIPED\",","\"EARTH SCIENCE\",\"BIOSPHERE\",\"ECOSYSTEMS\",\"TERRESTRIAL ECOSYSTEMS\"","\"EARTH SCIENCE\",\"BIOSPHERE\",\"ECOLOGICAL DYNAMICS\",\"COMMUNITY DYNAMICS\"","South Georgia","aerial survey","digital surface model"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5285/14b142da-9341-471b-af7a-8613f0fbbb25","addedAt":"2026-08-31T06:39:56.627Z","updatedAt":"2026-08-31T06:39:56.627Z"},{"id":"doi:10.5285/9c4cb255-a754-4b6b-9748-d8b355e029de","name":"Aerial survey of St Andrews Bay, South Georgia, elephant seal colony during the 2024/2025 season, flight DLPUS_214_10","source":"datacite","abstract":"Aerial survey of St Andrews Bay elephant seal colony, Mirounga leonina, during the 2024/25 season conducted using a remotely piloted aerial system (RPAS). The aerial survey was conducted as part of the Darwin Plus (DPLUS) 214 project: Southwest Atlantic Elephant Seal Population Assessment (SAESPA). Dataset includes the original images and log files, the original RINEX GNSS (global navigation satellite system) base station files, the post-processed global navigation satellite system and imagery data, along with the resulting georeferenced DSM (digital surface model) and an orthorectified mosaic of the imagery. This dataset is from flight number DPLUS_214_10 which was carried out on 2024-10-18. This work was supported by the Overseas Territories Environment and Climate Fund under Grant Darwin Plus ref: DPLUS214: Southwest Atlantic Elephant Seal Population Assessment (SAESPA).","url":"https://doi.org/10.5285/9c4cb255-a754-4b6b-9748-d8b355e029de","authors":["Fenney, Nathan","Coleman, Jamie","Bamford, Connor"],"tags":["\"EARTH SCIENCE\",\"BIOSPHERE\",\"ECOLOGICAL DYNAMICS\",\"COMMUNITY DYNAMICS\",\"BIODIVERSITY FUNCTIONS\"","\"EARTH SCIENCE\",\"BIOSPHERE\",\"ECOLOGICAL DYNAMICS\",\"SPECIES/POPULATION INTERACTIONS\",\"POPULATION DYNAMICS\"","\"EARTH SCIENCE\",\"BIOLOGICAL CLASSIFICATION\",\"ANIMALS/VERTEBRATES\",\"MARINE MAMMALS\",\"PINNIPED\",","\"EARTH SCIENCE\",\"BIOSPHERE\",\"ECOSYSTEMS\",\"TERRESTRIAL ECOSYSTEMS\"","\"EARTH SCIENCE\",\"BIOSPHERE\",\"ECOLOGICAL DYNAMICS\",\"COMMUNITY DYNAMICS\"","South Georgia","aerial survey","digital surface model"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5285/9c4cb255-a754-4b6b-9748-d8b355e029de","addedAt":"2026-08-31T06:39:56.627Z","updatedAt":"2026-08-31T06:39:56.627Z"},{"id":"doi:10.5285/f5139bb9-79b2-44e1-963e-c2755ffd1d01","name":"Aerial survey of Hound Bay, South Georgia, elephant seal colony during the 2024/2025 season, flight DLPUS_214_08","source":"datacite","abstract":"Aerial survey of the Hound Bay elephant seal colony, Mirounga leonina, during the 2024/25 season conducted using a remotely piloted aerial system (RPAS). The aerial survey was conducted as part of the Darwin Plus (DPLUS) 214 project: Southwest Atlantic Elephant Seal Population Assessment (SAESPA). Dataset includes the original images and log files, the post-processed imagery data, along with the resulting georeferenced DSM (digital surface model) and an orthorectified mosaic of the imagery. This dataset is from flight number DPLUS_214_08 which was carried out on 2024-10-17. This work was supported by the Overseas Territories Environment and Climate Fund under Grant Darwin Plus ref: DPLUS214: Southwest Atlantic Elephant Seal Population Assessment (SAESPA).","url":"https://doi.org/10.5285/f5139bb9-79b2-44e1-963e-c2755ffd1d01","authors":["Fenney, Nathan","Coleman, Jamie","Bamford, Connor"],"tags":["\"EARTH SCIENCE\",\"BIOSPHERE\",\"ECOLOGICAL DYNAMICS\",\"COMMUNITY DYNAMICS\",\"BIODIVERSITY FUNCTIONS\"","\"EARTH SCIENCE\",\"BIOSPHERE\",\"ECOLOGICAL DYNAMICS\",\"SPECIES/POPULATION INTERACTIONS\",\"POPULATION DYNAMICS\"","\"EARTH SCIENCE\",\"BIOLOGICAL CLASSIFICATION\",\"ANIMALS/VERTEBRATES\",\"MARINE MAMMALS\",\"PINNIPED\",","\"EARTH SCIENCE\",\"BIOSPHERE\",\"ECOSYSTEMS\",\"TERRESTRIAL ECOSYSTEMS\"","\"EARTH SCIENCE\",\"BIOSPHERE\",\"ECOLOGICAL DYNAMICS\",\"COMMUNITY DYNAMICS\"","South Georgia","aerial survey","digital surface model"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5285/f5139bb9-79b2-44e1-963e-c2755ffd1d01","addedAt":"2026-08-31T06:39:56.627Z","updatedAt":"2026-08-31T06:39:56.627Z"},{"id":"doi:10.5281/zenodo.20407624","name":"Integrating Field Ecology and Sentinel-2-Compatible Remote Sensing for Monitoring Vegetation Succession in Natura 2000 Dry Grasslands","source":"datacite","abstract":"Dry continental grasslands (Natura 2000 habitat type 6210 – Festuco-Brometalia) are increasingly threatened by land abandonment and vegetation succession (Management Plan for the Natura 2000 Sites Potok Dolje and Vejalnica and Krč and the Goranec Significant Landscape, 2023). This paper presents initial results of an ongoing remote sensing study aimed at developing a satellite-based framework for monitoring succession in these habitats, using Natura 2000 site Vejalnica and Krč (HR2001298) and the Goranec Significant Landscape (City of Zagreb, Croatia) as calibration and validation sites. Field surveys and unmanned aerial vehicle (UAV) mapping were conducted in 2024–2025 across approximately 150 ha of (semi-)grassland areas. A modified EMBAL field protocol was applied for habitat delineation and ground-truth. UAV Red, Green, Blue (RGB) and multispectral imagery were processed to derive a canopy height model, from which four structural succession phases were defined. The study area was aligned to a 10 × 10 m grid compatible with Sentinel-2 pixels. Baseline mapping revealed strong spatial heterogeneity and widespread shrub and tree encroachment, providing a basis for modelling Sentinel-2 spectral metrics for monitoring succession phases in grassland habitats.","url":"https://doi.org/10.5281/zenodo.20407624","authors":["Megyery, Tonko","Kutnjak, Hrvoje","Jantol, Nela","Mesić, Zrinka"],"tags":["UAV","multispectral imagery","habitat 6210","NDVI","mapping","shrub encroachment"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.20407624","addedAt":"2026-08-31T06:39:56.627Z","updatedAt":"2026-08-31T06:39:59.256Z"},{"id":"doi:10.5281/zenodo.20407625","name":"Integrating Field Ecology and Sentinel-2-Compatible Remote Sensing for Monitoring Vegetation Succession in Natura 2000 Dry Grasslands","source":"datacite","abstract":"Dry continental grasslands (Natura 2000 habitat type 6210 – Festuco-Brometalia) are increasingly threatened by land abandonment and vegetation succession (Management Plan for the Natura 2000 Sites Potok Dolje and Vejalnica and Krč and the Goranec Significant Landscape, 2023). This paper presents initial results of an ongoing remote sensing study aimed at developing a satellite-based framework for monitoring succession in these habitats, using Natura 2000 site Vejalnica and Krč (HR2001298) and the Goranec Significant Landscape (City of Zagreb, Croatia) as calibration and validation sites. Field surveys and unmanned aerial vehicle (UAV) mapping were conducted in 2024–2025 across approximately 150 ha of (semi-)grassland areas. A modified EMBAL field protocol was applied for habitat delineation and ground-truth. UAV Red, Green, Blue (RGB) and multispectral imagery were processed to derive a canopy height model, from which four structural succession phases were defined. The study area was aligned to a 10 × 10 m grid compatible with Sentinel-2 pixels. Baseline mapping revealed strong spatial heterogeneity and widespread shrub and tree encroachment, providing a basis for modelling Sentinel-2 spectral metrics for monitoring succession phases in grassland habitats.","url":"https://doi.org/10.5281/zenodo.20407625","authors":["Megyery, Tonko","Kutnjak, Hrvoje","Jantol, Nela","Mesić, Zrinka"],"tags":["UAV","multispectral imagery","habitat 6210","NDVI","mapping","shrub encroachment"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.20407625","addedAt":"2026-08-31T06:39:56.627Z","updatedAt":"2026-08-31T06:39:59.256Z"},{"id":"doi:10.34620/dadosipb/m1zzjv","name":"Forest Inventory: SILFORE","source":"datacite","abstract":"This dataset, entitled Forest Inventory: SILFORE – Forest Inventory Plots and LiDAR-Derived Canopy Height Models in Northern Portugal (DOI: 10.34620/dadosipb/M1ZZJV), was published on March 5, 2026. It was produced and deposited by João Paulo Castro (Centro de Investigação de Montanha – CIMO, Polytechnic Institute of Bragança), who is also the point of contact (jpmc@ipb.pt). The dataset was developed with contributions from Júlio Germano, Eduardo Pousa, Caroline Podsclan, Raphael Britto, Ana Castro, and Marina Castro, affiliated with CIMO and CeDRI. The work was supported by the LIFE SILFORE project (LIFE21-CCA-ES-LIFE) and is distributed under the Creative Commons CC BY 4.0 license. The dataset documents forest inventory procedures integrating field measurements with LiDAR data acquired using an unmanned aerial vehicle (UAV), with the objective of providing replicable methods suitable for forest management applications. The study was conducted in the district of Bragança, northern Portugal, between March 2024 and June 2025, covering forest stands of Pinus pinaster (in São Joanico, Vilarinho and Soutelo), Quercus pyrenaica (in Zeive), and Quercus rotundifolia (in Vilarinho). The dataset integrates field-based dendrometric measurements, spatial data representing plot geometry, and raster-based canopy height models (CHM). Each sampling unit includes a central point, a circular plot with variable radius, a 30 m buffer, and a CHM clipped to the buffer extent. All spatial data are referenced in the ETRS89 / Portugal TM06 coordinate system (EPSG:3763). The data structure includes a GeoPackage file (parcelas.gpkg) containing plot centres, plot polygons, buffer areas, and a CHM index table; a set of CHM raster files in GeoTIFF format stored in the “CHM” folder; a QGIS (v3.40.15) project file (DATASET.qgz) for visualisation; and a README file. The QGIS project includes pre-configured layers and symbology and uses relative paths to ensure portability. Each sampling plot is uniquely identified by the attribute PARCELA, which ensures the linkage between field data, spatial data, and raster files. Each CHM raster file is named according to the corresponding PARCELA identifier and represents the canopy height model clipped to the 30 m buffer. The relationship between raster and vector data is described in a metadata table provided as a separate CSV file (chm_index.csv), including the plot identifier (PARCELA), site name, and raster file name. Additional information on LiDAR acquisition dates and field data collection is provided in a separate table (acquisition_dates.csv), which also includes mission identifiers and the time difference (in days) between LiDAR acquisition and field measurements (date_diff). Field inventory data were aggregated at plot level, with each record corresponding to a sampling plot (PARCELA). These data include variables such as location, species, plot area, stand age, number of trees, diameter at breast height (DBH), mean and maximum tree height, dominant height, basal area, and volume. The complete field inventory table is provided as a CSV file (field_inventory.csv). Field data were collected in circular plots ranging from 250 to 500 m², randomly distributed and georeferenced using RTK GNSS with centimetre-level accuracy. Plot size was adapted to stand density. DBH was measured for all trees, while sample trees were selected using the Draudt method and heights measured using a Haglöf Vertex 5 hypsometer. Stand age was determined when necessary. Tree-level data were aggregated to plot level, and basal area and volume were computed using standard forestry procedures. Field and LiDAR data were acquired on different dates, with time differences ranging from 0 to 148 days, as explicitly reported in the acquisition_dates.csv table. These differences are considered negligible due to low growth rates, although they should be taken into account in analyses sensitive to temporal variation. LiDAR data were collected using a","url":"https://doi.org/10.34620/dadosipb/m1zzjv","authors":["Castro, João Paulo","Germano, Júlio","Pousa, Eduardo","Podsclan, Caroline","Britto, Raphael","Castro, Ana","Castro, Marina"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.34620/dadosipb/m1zzjv","addedAt":"2026-08-31T06:39:56.627Z","updatedAt":"2026-08-31T06:39:59.256Z"},{"id":"doi:10.6084/m9.figshare.32411412.v1","name":"An analysis of the spatial variations and dynamics of vegetation recovery using low-altitude remote sensing in actively restored forests of the Amathole region","source":"datacite","abstract":"Dataset Title: UAV-based RGB and point cloud dataset for assessing vegetation recovery in actively restored Mistbelt forests of the Amathole region, South Africa Author(s): Andisiwe Manase a , Alen Manyevere a,* , Mohamed A.M Abd Elbasit b , Jessica Leaver c Corresponding author affiliation: Department of Agronomy, University of Fort Hare, Private Bag X1314, Alice, 5700, South Africa Journal submission: GIScience &amp; Remote Sensing Description: This dataset supports the research article entitled \" An analysis of the spatial variations and dynamics of vegetation recovery using low-altitude remote sensing in actively restored forests of the Amathole regio n, \" submitted to GIScience &amp; Remote Sensing . It comprises high-resolution unmanned aerial vehicle (UAV) imagery and derived point cloud metrics, alongside ground-based leaf spectral data, collected to evaluate the effectiveness of active forest restoration in three Mistbelt forests (Izingcuka, Swallowtail, and Madonna and Child) in the Amathole region, South Africa.Data were acquired during the spring season of 2024 using a DJI Mavic 2 Enterprise Dual drone. The dataset includes: RGB orthomosaics and 3D point clouds processed from UAV flights over paired reference (intact) and restoration (actively revegetated) sites, following a 2 × 3 factorial design (two site types × three blocks). Derived vegetation indices computed from RGB imagery: VEG (Vegetative Index), TGI (Triangular Greenness Index), GRVI (Green-Red Vegetation Index), NGRDI (Normalized Green-Red Difference Index), ExG (Excess Green), ExR (Excess Red), and GLI (Green Leaf Index). Point cloud structural metrics including above-ground biomass (AGB), canopy height model (CHM), canopy cover (%), and gap fraction. Ground reference data consisting of spectral and biophysical measurements from 270 Podocarpus latifolius leaf samples. Binary vegetation classification outputs (Random Trees and Support Vector Machine) produced in ArcGIS Pro 3.5.0, with associated accuracy metrics (user’s accuracy: 95–99%; Kappa: 0.76–0.96). RStudio analysis scripts (R version 4.1.2, 2024) for two-way ANOVA, Principal Component Analysis (PCA), and stepwise regression used to assess spatial variation and vegetation dynamics. Key variables: Site type (reference vs. restoration)Vegetation indices (spectral health proxies)Point cloud metrics (structural complexity)Leaf-level ground truth data Spatial and temporal coverage: Amathole Mistbelt forests, Eastern Cape, South AfricaSingle-season spring survey (2024); dynamics interpreted as within- and between-site variability in vegetation indices. Data usage notes: These data are suitable for comparative analyses of active forest restoration outcomes, methodological assessments of UAV-based monitoring techniques, and studies investigating the relationship between spectral vegetation indices and structural forest attributes in temperate or Mistbelt ecosystems. The inclusion of both RGB-derived indices and point cloud metrics enables users to evaluate multifactorial drivers of vegetation recovery. Methodological context: Full experimental design, preprocessing steps, and analytical procedures are detailed in the associated manuscript. All coordinate reference systems and file formats (CSV, R script) are documented in the accompanying README file. Licence: [CC BY 4.0] Keywords: Unmanned aerial vehicle, Photogrammetry, Forest recovery, Spectral signatures, Machine learning","url":"https://doi.org/10.6084/m9.figshare.32411412.v1","authors":["MANASE, ANDISIWE","Manyevere, Alen","Elbasit, Mohamed A. M. Abd","Leaver, Jessica"],"tags":["Ecological applications not elsewhere classified"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.6084/m9.figshare.32411412.v1","addedAt":"2026-08-31T06:39:56.627Z","updatedAt":"2026-08-31T06:39:56.627Z"},{"id":"doi:10.6084/m9.figshare.32411412","name":"An analysis of the spatial variations and dynamics of vegetation recovery using low-altitude remote sensing in actively restored forests of the Amathole region","source":"datacite","abstract":"Dataset Title: UAV-based RGB and point cloud dataset for assessing vegetation recovery in actively restored Mistbelt forests of the Amathole region, South Africa Author(s): Andisiwe Manase a , Alen Manyevere a,* , Mohamed A.M Abd Elbasit b , Jessica Leaver c Corresponding author affiliation: Department of Agronomy, University of Fort Hare, Private Bag X1314, Alice, 5700, South Africa Journal submission: GIScience &amp; Remote Sensing Description: This dataset supports the research article entitled \" An analysis of the spatial variations and dynamics of vegetation recovery using low-altitude remote sensing in actively restored forests of the Amathole regio n, \" submitted to GIScience &amp; Remote Sensing . It comprises high-resolution unmanned aerial vehicle (UAV) imagery and derived point cloud metrics, alongside ground-based leaf spectral data, collected to evaluate the effectiveness of active forest restoration in three Mistbelt forests (Izingcuka, Swallowtail, and Madonna and Child) in the Amathole region, South Africa.Data were acquired during the spring season of 2024 using a DJI Mavic 2 Enterprise Dual drone. The dataset includes: RGB orthomosaics and 3D point clouds processed from UAV flights over paired reference (intact) and restoration (actively revegetated) sites, following a 2 × 3 factorial design (two site types × three blocks). Derived vegetation indices computed from RGB imagery: VEG (Vegetative Index), TGI (Triangular Greenness Index), GRVI (Green-Red Vegetation Index), NGRDI (Normalized Green-Red Difference Index), ExG (Excess Green), ExR (Excess Red), and GLI (Green Leaf Index). Point cloud structural metrics including above-ground biomass (AGB), canopy height model (CHM), canopy cover (%), and gap fraction. Ground reference data consisting of spectral and biophysical measurements from 270 Podocarpus latifolius leaf samples. Binary vegetation classification outputs (Random Trees and Support Vector Machine) produced in ArcGIS Pro 3.5.0, with associated accuracy metrics (user’s accuracy: 95–99%; Kappa: 0.76–0.96). RStudio analysis scripts (R version 4.1.2, 2024) for two-way ANOVA, Principal Component Analysis (PCA), and stepwise regression used to assess spatial variation and vegetation dynamics. Key variables: Site type (reference vs. restoration)Vegetation indices (spectral health proxies)Point cloud metrics (structural complexity)Leaf-level ground truth data Spatial and temporal coverage: Amathole Mistbelt forests, Eastern Cape, South AfricaSingle-season spring survey (2024); dynamics interpreted as within- and between-site variability in vegetation indices. Data usage notes: These data are suitable for comparative analyses of active forest restoration outcomes, methodological assessments of UAV-based monitoring techniques, and studies investigating the relationship between spectral vegetation indices and structural forest attributes in temperate or Mistbelt ecosystems. The inclusion of both RGB-derived indices and point cloud metrics enables users to evaluate multifactorial drivers of vegetation recovery. Methodological context: Full experimental design, preprocessing steps, and analytical procedures are detailed in the associated manuscript. All coordinate reference systems and file formats (CSV, R script) are documented in the accompanying README file. Licence: [CC BY 4.0] Keywords: Unmanned aerial vehicle, Photogrammetry, Forest recovery, Spectral signatures, Machine learning","url":"https://doi.org/10.6084/m9.figshare.32411412","authors":["MANASE, ANDISIWE","Manyevere, Alen","Elbasit, Mohamed A. M. Abd","Leaver, Jessica"],"tags":["Ecological applications not elsewhere classified"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.6084/m9.figshare.32411412","addedAt":"2026-08-31T06:39:56.627Z","updatedAt":"2026-08-31T06:39:56.627Z"},{"id":"doi:10.5281/zenodo.11031941","name":"Datasets of synthetic workflows for cyber-physical edge-hub-cloud systems","source":"datacite","abstract":"These datasets of synthetic workflows were generated to evaluate the performance and scalability of a multi-constrained scheduling approach for workflow applications of various structures, sizes, and sensing/actuating requirements in a cyber-physical system (CPS) following the edge-hub-cloud paradigm. The examined CPS comprised four edge devices (i.e., single-board computers, each attached to an unmanned aerial vehicle (UAV) equipped with sensors/actuators) interacting with a hub device (e.g., a laptop), which in turn communicated with a more computationally capable cloud server. All system devices featured heterogeneous multicore processors and varied sensing/actuating or other specialized capabilities. The problem objective was the minimization of the overall latency of the application under deadline, memory, storage, energy, capability, and task precedence constraints. We generated 25 random workflows (task graphs) with 10, 20, 30, 40, and 50 nodes (5 task graphs for each size), utilizing the Task Graphs For Free (TGFF) random task graph generator [1],[2]. Additional task parameters (e.g., execution time, power consumption, memory, storage, output data size, capability) were included post-generation, using appropriate values. More details are provided in README.txt and in [3].References:[1] R. P. Dick, D. L. Rhodes, and W. Wolf, \"TGFF: Task graphs for free,\" in Proc. Sixth International Workshop on Hardware/Software Codesign (CODES/CASHE), 1998, pp. 97-101, doi: 10.1109/HSC.1998.666245. [2] R. P. Dick, D. L. Rhodes, and K. Vallerio, \"TGFF,\" https://robertdick.org/projects/tgff/. [3] A. Kouloumpris, G. L. Stavrinides, M. K. Michael, and T. Theocharides, “Optimal multi-constrained workflow scheduling for cyber-physical systems in the edge-cloud continuum,” in Proc. 2024 IEEE 48th Annual Computers, Software, and Applications Conference (COMPSAC), Jul. 2024, pp. 483-492, doi: 10.1109/COMPSAC61105.2024.00072.","url":"https://doi.org/10.5281/zenodo.11031941","authors":["Kouloumpris, Andreas","Stavrinides, Georgios L.","Michael, Maria K.","Theocharides, Theocharis"],"tags":["scheduling","workflow","cyber-physical system","edge-cloud","mixed integer linear programming","optimization"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.5281/zenodo.11031941","addedAt":"2026-08-31T06:39:56.627Z","updatedAt":"2026-08-31T06:39:56.627Z"},{"id":"doi:10.5281/zenodo.11031940","name":"Datasets of synthetic workflows for cyber-physical edge-hub-cloud systems","source":"datacite","abstract":"These datasets of synthetic workflows were generated to evaluate the performance and scalability of a multi-constrained scheduling approach for workflow applications of various structures, sizes, and sensing/actuating requirements in a cyber-physical system (CPS) following the edge-hub-cloud paradigm. The examined CPS comprised four edge devices (i.e., single-board computers, each attached to an unmanned aerial vehicle (UAV) equipped with sensors/actuators) interacting with a hub device (e.g., a laptop), which in turn communicated with a more computationally capable cloud server. All system devices featured heterogeneous multicore processors and varied sensing/actuating or other specialized capabilities. The problem objective was the minimization of the overall latency of the application under deadline, memory, storage, energy, capability, and task precedence constraints. We generated 25 random workflows (task graphs) with 10, 20, 30, 40, and 50 nodes (5 task graphs for each size), utilizing the Task Graphs For Free (TGFF) random task graph generator [1],[2]. Additional task parameters (e.g., execution time, power consumption, memory, storage, output data size, capability) were included post-generation, using appropriate values. More details are provided in README.txt and in [3].References:[1] R. P. Dick, D. L. Rhodes, and W. Wolf, \"TGFF: Task graphs for free,\" in Proc. Sixth International Workshop on Hardware/Software Codesign (CODES/CASHE), 1998, pp. 97-101, doi: 10.1109/HSC.1998.666245. [2] R. P. Dick, D. L. Rhodes, and K. Vallerio, \"TGFF,\" https://robertdick.org/projects/tgff/. [3] A. Kouloumpris, G. L. Stavrinides, M. K. Michael, and T. Theocharides, “Optimal multi-constrained workflow scheduling for cyber-physical systems in the edge-cloud continuum,” in Proc. 2024 IEEE 48th Annual Computers, Software, and Applications Conference (COMPSAC), Jul. 2024, pp. 483-492, doi: 10.1109/COMPSAC61105.2024.00072.","url":"https://doi.org/10.5281/zenodo.11031940","authors":["Kouloumpris, Andreas","Stavrinides, Georgios L.","Michael, Maria K.","Theocharides, Theocharis"],"tags":["scheduling","workflow","cyber-physical system","edge-cloud","mixed integer linear programming","optimization"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.5281/zenodo.11031940","addedAt":"2026-08-31T06:39:56.627Z","updatedAt":"2026-08-31T06:39:56.627Z"},{"id":"doi:10.34961/19430","name":"A systematic review of unmanned aerial vehicles (UAVs) for coastal ecosystem monitoring","source":"datacite","abstract":"Unmanned Aerial Vehicle (UAV) remote sensing has gained increasing attention in the scientific community and has rapidly evolved into a widely used tool for diverse applications, particularly in coastal environment monitoring. This study presents a comprehensive review of UAV-based coastal ecosystem monitoring by analysing 1972 research articles published between 2020 and 2024. Following the PRISMA framework, 406 articles were systematically selected, from which 100 studies underwent detailed technical and ecological analysis. The review critically evaluates UAV platforms, sensor technologies, ecological applications, spatial resolutions, analytical algorithms, field validation approaches, software tools, and observed limitations. The study further provides an in-depth discussion on the current status, emerging trends, and technological advancements in the field, along with recommendations and research directions. Key findings reveal that multirotor platforms with RGB cameras remain dominant, while there is a clear shift towards multispectral, hyperspectral, and LiDAR integration. Additionally, the standardisation of SfM-MVS photogrammetric workflows and the increasing use of RTK/PPK positioning systems are apparent, although GCP-based validation still remains common. The analytical landscape has evolved toward automated machine learning and deep learning frameworks, though weak model interpretability remains a persistent bottleneck. UAVs demonstrated clear advantages for fine-scale ecological mapping, event-driven monitoring, and surveys in inaccessible environments, while geometric accuracy assessment was consistently prioritised in the field validation. Emerging opportunities include sensor/model fusion, explainable AI integration, and new ecological applications such as carbon flux estimation. Hence, this review provides a comprehensive foundation for researchers to effectively integrate UAVs into coastal monitoring applications and identify future research directions.","url":"https://doi.org/10.34961/19430","authors":["Makumbura, Randika K.","Gibney, Enda","Nash, Roisin","Dooly, Gerard","Duraibabu, Dinesh Babu"],"tags":["coastal environment","coastal monitoring","remote sensing","sensors","unmanned aerial vehicles (UAVs)"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.34961/19430","addedAt":"2026-08-31T06:39:56.627Z","updatedAt":"2026-08-31T06:39:58.778Z"},{"id":"doi:10.6084/m9.figshare.32296654","name":"Crown-BERT: a crown-morphology-aware deep learning framework for individual tree species classification using UAV LiDAR and hyperspectral data","source":"datacite","abstract":"Accurate individual tree species classification using fused unmanned aerial vehicle (UAV) hyperspectral (HSI) and light detection and ranging (LiDAR) data is fundamental for forest inventory and biodiversity assessment, yet remains challenging because of irregular crown morphology, limited species annotations, and the high model complexity induced by high-dimensional multimodal features. To address these challenges, we propose Crown-BERT (Bidirectional Encoder Representations from Transformers), a lightweight, crown-morphology-aware deep learning framework for crown-level HSI–LiDAR classification. Crown-BERT introduces dynamic crown masking (DCM) and crown positional encoding (CPE) to explicitly encode valid canopy boundaries and intra-crown spatial structure, and employs crown masked pixel modeling (CMPM) as a self-supervised pre-training strategy to learn transferable feature representations from abundant unlabeled crown samples. These components are integrated into a task-specific lightweight hybrid architecture that combines efficient convolutional operations with transformer-based global modeling, thereby reducing parameter redundancy while preserving classification performance. Under independent training and testing on three UAV datasets, Crown-BERT achieved overall accuracies of 83.1%, 85.4%, and 90.8% on MS-2021, MS-2022, and TH-2024 dataset, respectively, with only 0.9 million parameters. It outperformed standard CNN and Vision Transformer baselines by 17.9% to 23.5% in overall accuracy, and further exceeded representative HSI–LiDAR fusion-based classificaition models, improving overall accuracy by 5.1%–5.9% over hierarchical CNN and transformer (HCT) and by 9.7%–11.2% over 3D-CNN across the three datasets. Results from MS-2021 and MS-2022 indicate that the proposed framework maintained stable performance under interannual spectral variation, while the strong performance on TH-2024 further demonstrates its robustness under different ecological conditions; in addition, transfer-based adaptation with AdaBN further improved cross-year applicability. Therefore, Crown-BERT provides an efficient and morphology-aware solution for individual tree species classification in UAV-based forest monitoring under complex and variable stand conditions, with strong potential for improving classification accuracy and reducing manual annotation. A Crown-BERT model was proposed for classifying individual tree species using UAV HSI and LiDAR.Crown-BERT model explicitly considers crown morphology and spatial structure.Crown-BERT learns transferable symbols from unlabeled samples via self-supervised pre-training.Crown-BERT uses transfer strategies to adapt across years to interannual spectral variability.Crown-BERT remains effective when pretrained and fine-tuned on different datasets. A Crown-BERT model was proposed for classifying individual tree species using UAV HSI and LiDAR. Crown-BERT model explicitly considers crown morphology and spatial structure. Crown-BERT learns transferable symbols from unlabeled samples via self-supervised pre-training. Crown-BERT uses transfer strategies to adapt across years to interannual spectral variability. Crown-BERT remains effective when pretrained and fine-tuned on different datasets.","url":"https://doi.org/10.6084/m9.figshare.32296654","authors":["Wang, Xinbo","Zhao, Yang","Han, Yu","Zhao, Yinghui","Zhen, Zhen"],"tags":["Space Science","Environmental Sciences not elsewhere classified","Ecology","FOS: Biological sciences","Biological Sciences not elsewhere classified","Information Systems not elsewhere classified","Plant Biology"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.6084/m9.figshare.32296654","addedAt":"2026-08-31T06:39:56.627Z","updatedAt":"2026-08-31T06:39:56.627Z"},{"id":"doi:10.6084/m9.figshare.32296654.v1","name":"Crown-BERT: a crown-morphology-aware deep learning framework for individual tree species classification using UAV LiDAR and hyperspectral data","source":"datacite","abstract":"Accurate individual tree species classification using fused unmanned aerial vehicle (UAV) hyperspectral (HSI) and light detection and ranging (LiDAR) data is fundamental for forest inventory and biodiversity assessment, yet remains challenging because of irregular crown morphology, limited species annotations, and the high model complexity induced by high-dimensional multimodal features. To address these challenges, we propose Crown-BERT (Bidirectional Encoder Representations from Transformers), a lightweight, crown-morphology-aware deep learning framework for crown-level HSI–LiDAR classification. Crown-BERT introduces dynamic crown masking (DCM) and crown positional encoding (CPE) to explicitly encode valid canopy boundaries and intra-crown spatial structure, and employs crown masked pixel modeling (CMPM) as a self-supervised pre-training strategy to learn transferable feature representations from abundant unlabeled crown samples. These components are integrated into a task-specific lightweight hybrid architecture that combines efficient convolutional operations with transformer-based global modeling, thereby reducing parameter redundancy while preserving classification performance. Under independent training and testing on three UAV datasets, Crown-BERT achieved overall accuracies of 83.1%, 85.4%, and 90.8% on MS-2021, MS-2022, and TH-2024 dataset, respectively, with only 0.9 million parameters. It outperformed standard CNN and Vision Transformer baselines by 17.9% to 23.5% in overall accuracy, and further exceeded representative HSI–LiDAR fusion-based classificaition models, improving overall accuracy by 5.1%–5.9% over hierarchical CNN and transformer (HCT) and by 9.7%–11.2% over 3D-CNN across the three datasets. Results from MS-2021 and MS-2022 indicate that the proposed framework maintained stable performance under interannual spectral variation, while the strong performance on TH-2024 further demonstrates its robustness under different ecological conditions; in addition, transfer-based adaptation with AdaBN further improved cross-year applicability. Therefore, Crown-BERT provides an efficient and morphology-aware solution for individual tree species classification in UAV-based forest monitoring under complex and variable stand conditions, with strong potential for improving classification accuracy and reducing manual annotation. A Crown-BERT model was proposed for classifying individual tree species using UAV HSI and LiDAR.Crown-BERT model explicitly considers crown morphology and spatial structure.Crown-BERT learns transferable symbols from unlabeled samples via self-supervised pre-training.Crown-BERT uses transfer strategies to adapt across years to interannual spectral variability.Crown-BERT remains effective when pretrained and fine-tuned on different datasets. A Crown-BERT model was proposed for classifying individual tree species using UAV HSI and LiDAR. Crown-BERT model explicitly considers crown morphology and spatial structure. Crown-BERT learns transferable symbols from unlabeled samples via self-supervised pre-training. Crown-BERT uses transfer strategies to adapt across years to interannual spectral variability. Crown-BERT remains effective when pretrained and fine-tuned on different datasets.","url":"https://doi.org/10.6084/m9.figshare.32296654.v1","authors":["Wang, Xinbo","Zhao, Yang","Han, Yu","Zhao, Yinghui","Zhen, Zhen"],"tags":["Space Science","Environmental Sciences not elsewhere classified","Ecology","FOS: Biological sciences","Biological Sciences not elsewhere classified","Information Systems not elsewhere classified","Plant Biology"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.6084/m9.figshare.32296654.v1","addedAt":"2026-08-31T06:39:56.627Z","updatedAt":"2026-08-31T06:39:56.627Z"},{"id":"doi:10.5281/zenodo.20181713","name":"Mapping Immersive Geovisualization Design: A Typology of VR Approaches in Geoscience Educational Applications","source":"datacite","abstract":"Significant growth in immersive virtual reality (IVR) for geoscience research and education has been driven by advances in head-mounted displays (HMDs), accessibility of game engines and enhanced geospatial data acquisition methods over the past decade. Applications span the fields of geology, volcanology, geoheritage, or cartography, and range from virtual field trips (VFTs) to interactive climate visualisations. This poster presents a typology of design approaches in Immersive Virtual Reality (IVR) for geoscience educational applications. The typology was derived from a systematic analysis of 37 papers describing the design, development and implementation of IVR systems between 2013 and 2024. We coded each paper across five dimensions: (1) geospatial data input types, (2) IVR platforms/display devices, (3) application domains, (4) spatial interaction modes, and (5) evaluation approaches. Categories emerged iteratively from the data rather than being imposed a priori. Key findings revealed significant diversity in geospatial data, with three dominant pathways: unmanned aerial vehicle (UAV)-based photogrammetry, 360° panoramic imagery, and LiDARderived point clouds. Although HMD-based systems are dominate, WebVR platforms have emerged since 2020 as more accessible alternatives. The largest application cluster is VFTs for geology and geomorphology education. Despite the potential for rich 3D interaction, most systems implement simple models, such as passive navigation or basic measurement tools. More sophisticated interactions, such as problem-solving queries or multi-user collaboration, remain rare. Design documentation consistently exceeds empirical evaluation. This typology provides researchers and developers with a reference framework that maps the current design landscape and identifying underexplored opportunities, such as multi-user collaborative environments or realtime data integration.","url":"https://doi.org/10.5281/zenodo.20181713","authors":["Švedová, Hana","Kubíček, Petr"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.20181713","addedAt":"2026-08-31T06:39:56.627Z","updatedAt":"2026-08-31T06:39:56.627Z"},{"id":"doi:10.5281/zenodo.20181712","name":"Mapping Immersive Geovisualization Design: A Typology of VR Approaches in Geoscience Educational Applications","source":"datacite","abstract":"Significant growth in immersive virtual reality (IVR) for geoscience research and education has been driven by advances in head-mounted displays (HMDs), accessibility of game engines and enhanced geospatial data acquisition methods over the past decade. Applications span the fields of geology, volcanology, geoheritage, or cartography, and range from virtual field trips (VFTs) to interactive climate visualisations. This poster presents a typology of design approaches in Immersive Virtual Reality (IVR) for geoscience educational applications. The typology was derived from a systematic analysis of 37 papers describing the design, development and implementation of IVR systems between 2013 and 2024. We coded each paper across five dimensions: (1) geospatial data input types, (2) IVR platforms/display devices, (3) application domains, (4) spatial interaction modes, and (5) evaluation approaches. Categories emerged iteratively from the data rather than being imposed a priori. Key findings revealed significant diversity in geospatial data, with three dominant pathways: unmanned aerial vehicle (UAV)-based photogrammetry, 360° panoramic imagery, and LiDARderived point clouds. Although HMD-based systems are dominate, WebVR platforms have emerged since 2020 as more accessible alternatives. The largest application cluster is VFTs for geology and geomorphology education. Despite the potential for rich 3D interaction, most systems implement simple models, such as passive navigation or basic measurement tools. More sophisticated interactions, such as problem-solving queries or multi-user collaboration, remain rare. Design documentation consistently exceeds empirical evaluation. This typology provides researchers and developers with a reference framework that maps the current design landscape and identifying underexplored opportunities, such as multi-user collaborative environments or realtime data integration.","url":"https://doi.org/10.5281/zenodo.20181712","authors":["Švedová, Hana","Kubíček, Petr"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.20181712","addedAt":"2026-08-31T06:39:56.627Z","updatedAt":"2026-08-31T06:39:56.627Z"},{"id":"doi:10.18130/dnya-mg61","name":"ICARUS-1—Dragonfly Unmanned Aerial System; Exploring Perception of Unmanned Aerial Vehicles in Law Enforcement","source":"datacite","abstract":"Thesis Project Portfolio ICARUS-1—Dragonfly Unmanned Aerial System (Technical Report) Exploring Perception of Unmanned Aerial Vehicles in Law Enforcement (STS Research Paper) An Undergraduate Thesis Presented to the Faculty of the School of Engineering and Applied Science University of Virginia • Charlottesville, Virginia In Fulfillment of the Requirements for the Degree Bachelor of Science, School of Engineering Justin Matara Spring, 2026 Department of Mechanical & Aerospace Engineering Table of Contents Executive Summary ICARUS-1—Dragonfly Unmanned Aerial System Exploring Perception of Unmanned Aerial Vehicles in Law Enforcement Prospectus Executive Summary Violent crime decreased 4.5% in 2024 (FBI, 2025), but law enforcement agencies face a dilemma. Police officers must respond to emergency calls, conduct patrols, traffic stops, collect evidence from crime scenes, and uphold public safety on a daily basis. However, police departments are overburdened, facing a nationwide 10% staffing deficit (IACP, 2024). Ground vehicles, radios, and helicopters extend officers’ reach, but are imperfect solutions. Faster helicopters cannot fit narrow streets while larger police vehicle fleets require more human officers. Residents expect crime prevention, prompt responses, and equitable policing regardless of labor shortages. UAVs (unmanned aerial vehicles) are one solution to this dilemma. They serve as miniature “eyes in the skies” for police departments, protecting the public while conserving individual officers, being controlled from a distance. UAVs vary from propeller-based quadcopters to plane-like fixed-wing drones, to bio-inspired designs. This latter category pairs the maneuverability and efficiency provided by propeller based and fixed-wing aircraft. One proposed bio-inspired UAV adopts dragonfly flight dynamics with four independently controlled flapping wings. The flexibility suits the varied roles police departments have for UAVs from emergency response to traffic monitoring. However, UAVs have their flaws. Their deployment raises questions about data leaks, digital sabotage, and over-intrusive technology. My research project explores the rhetorical battle as relevant stakeholders seek to stabilize the emerging sociotechnical system of UAVs on their own terms. Various micro-aerial vehicle designs have emerged across fields such as law enforcement. Most UAVs or drones are quadcopters; they house a central flight controller propelled by four equally spaced rotors as depicted in Figure 1. They are cheap, simple to build, and can easily hover, turn, ascend and descend. However, quadcopters are loud when operating, detrimental for surveillance missions. They also struggle in narrower spaces with their inherently stable rotors. Conversely, fixed-wing drones resemble airplanes, extending their range, stealth, and forward flight speed. Their fixed wings cannot hover or vertically take off and land, lacking static lift generation (Rennie, 2016). ICARUS-1, the bio-inspired UAV or “robotic dragonfly” flies using four independently controlled flapping wings powered by brush DC motors and bent crankshafts. A battery powers the motors, driving the crankshaft that converts rotational motion into wing flapping. This system propels the UAV forward and has it rise, fall, turn while moving, and hover. Dragonfly-like wings boast up to a 230% higher lift to weight ratio than comparably sized quadcopter rotors, increasing flight efficiency (Liang et al, 2023). The wings connected to a central lightweight central structure housing the flight controller, translating user-given inputs into motion, and electronics powering the UAV. ICARUS-1 sought to fly forward at 0.5 m/sec and have a camera to record onboard footage like other quadcopters. Our design consisted of off-the-shelf parts to decrease costs and provide team members with valuable experience in designing, prototyping, and manufacturing. We also applied knowledge from projects like DFly-1 in N","url":"https://doi.org/10.18130/dnya-mg61","authors":["Matara, Justin"],"tags":["Aerospace Engineering","FOS: Mechanical engineering","Ethics","Privacy","Social Construction of Technology","Drones","Bioinspired Flight"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.18130/dnya-mg61","addedAt":"2026-08-31T06:39:56.627Z","updatedAt":"2026-08-31T06:40:00.496Z"},{"id":"doi:10.5281/zenodo.19845011","name":"Hyperspectral Drone Imagery: Bare Soil Fields","source":"datacite","abstract":"This dataset contains two georeferenced tiff images derived from drone-based hyperspectral imaging over bare soil agricultural fields. The fields R13 and S28 collected on September 20, 2024, using an unmanned aerial vehicle (UAV) equipped with a hyperspectral sensor capturing six specific near-infrared bands: 705nm, 740nm, 783nm, 842nm, 865nm, and 945nm. The fields Caritas, L1, L3, M5B, R6, RvK1A_B ans S24 were collected during September and October 2025, using an unmanned aerial vehicle (UAV) equipped with a hyperspectral sensor capturing six specific near-infrared bands: 670nm, 730nm, 800nm, 930nm, 970nm, and 1100nm. The raw sensor data underwent processing using OpenDroneMap software for image stitching, followed by georeferencing correction to ensure spatial accuracy. The resulting tiff files contain digital numbers (DN values) for each spectral band.This dataset may be valuable for agricultural research, soil property analysis, remote sensing development, and related environmental monitoring applications. Pixel-wise predictions of soil organic carbon (OC, % w/w) for eight agricultural fields in the Ghent region, Belgium (EPSG:32631), derived from UAV-acquired hyperspectral imagery corrected to surface reflectance using calibration panels. Three machine learning models were trained on ground-truth OC measurements from 90+ soil sample points using six spectral bands, their first-order derivatives, and normalised band differences as input features: a 1D Convolutional Neural Network (CNN), a Random Forest (RF), and an XGBoost (XGB) regressor. Models were evaluated via 5-fold cross-validation. One predicted OC map (GeoTIFF) per field per model is provided (fields: B2, Caritas, L1, L3, M5B, R6, RvK1AB, S24).","url":"https://doi.org/10.5281/zenodo.19845011","authors":["Berkvens, Nick","Bauwens, Jan","Chalazas, Theodorus","Van Beek, Jonathan","Callens, Bert","Van Gehuchten, Aaron","Coppens, Tuna","Kokka, Alexander"],"tags":["Hyperspectral Imaging","Agriculture","Drones","Precision farrming","Bare soil","Remote sensing","Soil science"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.19845011","addedAt":"2026-08-31T06:39:56.627Z","updatedAt":"2026-08-31T06:39:59.256Z"},{"id":"doi:10.5061/dryad.5qfttdzmn","name":"Data from: UAV-based spatiotemporal phenotyping and growth modeling for forecasting potato yield","source":"datacite","abstract":"Monitoring spatial variations in plant growth and forecasting yield before harvest provides valuable insights for optimizing agronomic decision-making in potato cultivation. Although unmanned aerial vehicle (UAV)-based remote sensing has recently enabled the development of tuber fresh weight (TW) estimation models, their integration into practical yield-forecasting systems remains limited. In this study, we developed machine learning models to estimate tuber weights at multiple preharvest time points using RGB and multispectral UAV imagery. Image-derived features were extracted from the orthomosaic and digital surface model (DSM) images for each plot, and a random forest regression model was trained for TW estimation. The estimated values were subsequently used to fit the Gompertz growth curves, which were then used to forecast the yield at the expected harvest time. The correlation between the estimated and observed values was strong in the UAV-based TW estimation, with correlation coefficients exceeding 0.8 and coefficients of determination (R²) above 0.6 at all time points. Yield forecasts based on fitted growth curves achieved a correlation of 0.78 and an R² of -0.17 in 2023, and 0.70 and an R² of 0.47 in 2024. These results demonstrate that UAV-based sampling combined with machine learning is a feasible approach for monitoring spatiotemporal variations in tuber growth and forecasting potato yield at the plot level prior to harvest.","url":"https://doi.org/10.5061/dryad.5qfttdzmn","authors":["Imachi, Yuto","Tanaka, Kunihiro","Miyauchi, Minato","Miyamoto, Kyosuke","Okada, Masahiro","Blok, Pieter","Guo, Wei","Iwata, Hiroyoshi"],"tags":["FOS: Agricultural sciences","FOS: Agricultural sciences","Potato","yield forcast","unmanned aerial vehicle","UAV","Machine learning","nonlinear mixed model"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5061/dryad.5qfttdzmn","addedAt":"2026-08-31T06:39:56.627Z","updatedAt":"2026-08-31T06:39:56.627Z"},{"id":"doi:10.5281/zenodo.832405","name":"Histbox","source":"datacite","abstract":"Version 2025-10-01 Now works on Igor 9. Tutorial: https://www.bilibili.com/video/BV1MKsbzuEnL/ https://youtu.be/3u5fpI-D8Wk HistBox is a toolkit based on Igor Pro, designed specifically for rapid batch plotting to meet the unique needs of atmospheric science. While there are many general-purpose data visualization software packages available, they often fall short in addressing the specialized research objectives found in atmospheric science. This gap led to the development of the HistBox toolkit since 2013. HistBox features a user-friendly graphical interface that allows users to efficiently conduct data analysis and generate various plots, particularly histograms (including 2D histograms) and box plots. It supports batch plotting of multidimensional data types, such as temporal variations over specific time frames (monthly, weekly, hourly, or user-defined intervals). This capability enables users to filter and group data effectively. The toolkit also includes functions for data alignment and averaging, allowing users to perform batch plotting by year, season, month, day of the week, hour, or custom-defined strings. Additionally, it provides the plotting of time-series heatmaps and three-variable grid heatmaps, enhancing the analytical capabilities for atmospheric research. Please cite this paper if HistBox toolkit is used in your publication: Wu, C., Wu, D., and Yu, J. Z.: Quantifying black carbon light absorption enhancement with a novel statistical approach, Atmos. Chem. Phys., 18, 289-309, doi:10.5194/acp-18-289-2018, 2018. Free download of the latest version of this program can be found at: https://doi.org/10.5281/zenodo.832405 https://sites.google.com/site/wuchengust/ List of programs I developed: ScatterPlotHistogram and BoxplotMRSRT-ECOC raw data processorBenchtop Sunset ECOC analyzer data processorDRI 2001A data SorterSMPS ToolkitMie ScatteringAethalometer data correction ================================================================================================== HistBox 是一个针对大气科学特定需求进行快速批量画图而开发的基于Igor Pro的工具包。虽然市面上已有许多的通用的数据可视化软件,但是不能满足很多大气科学中特定的研究目的,这促成了HistBox工具包的开发。通过友好的图形界面用户可以快速完成数据分析和图形绘制,尤其是直方图和箱式图, 并且可以实现多维度(年季月/星期/小时/用户自定义字符串)的批量绘图(例如逐月的24小时日变化图),支持数据筛选和分组,并提供了数据对齐和平均,及绘制彩虹图等功能。 关于程序的最新信息可以在以下链接里找到: https://sites.google.com/site/wuchengust/ https://doi.org/10.5281/zenodo.832405 如果HistBox被用于公开发表的研究,请引用以下文献: Wu, C.: HistBox, https://doi.org/10.5281/zenodo.832405, 2017. Adoption of Histbox in research publications: Xie, Y., Zeng, L., Hu, S., Wang, T., Du, Z., Tan, T., Xu, N., Chen, S., Mao, J., Xu, F., and Hu, M.: Long-term trends of black carbon levels, sources, and radiative effects from 2013 to 2022 in Beijing, China, npj Clean Air, 1, 10, doi: https://doi.org/10.1038/s44407-025-00010-z, 2025. Wu, B., Wu, C., Ye, Y., Pei, C., Deng, T., Li, Y. J., Lu, X., Wang, L., Hu, B., Li, M., and Wu, D.: Long-term hourly air quality data bridging of neighboring sites using automated machine learning: A case study in the Greater Bay area of China, Atmos. Environ., 321, 120347, doi: https://doi.org/10.1016/j.atmosenv.2024.120347, 2024. Ji, D., Liu, Y., Xu, X., He, J., and Wang, Y.: Long-term variation, solubility and transport pathway of PM2.5-bound iron in a megacity of northern China, Sci. Total. Environ., 908, 167984, doi: https://doi.org/10.1016/j.scitotenv.2023.167984, 2024. Huang, H., Huang, Z., Zou, C., Tang, Y., Li, J., Yu, C., and Zhu, F.: Particle Size, Effects of Distance and Height from Source, Carbon Components, and Source of Dust in Nanchang, Central China, Atmosphere, 15, doi: https://doi.org/10.3390/atmos15010133, 2024. Liu, S., Yang, S., Chen, D., Mao, L., Cheng, X., Zhou, Z., Pei, C., Li, M., and Cheng, C.: Influence of ozone pollution on the mixing state and formation of oxygenated organics containing single particles, Sci. Total. Environ., 926, 171880, doi: https://doi.org/10.1016/j.scitotenv.2024.171880, 2024. Baramoussi, E. I. M. E. I., Ren, Y., Xue, C., Ouchen, I., Daële, V., Mercier, P., Chal","url":"https://doi.org/10.5281/zenodo.832405","authors":["WU, Cheng"],"tags":["histogram","box plot"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.832405","addedAt":"2026-08-31T06:39:56.627Z","updatedAt":"2026-08-31T06:39:59.256Z"},{"id":"doi:10.5281/zenodo.19160227","name":"Histbox","source":"datacite","abstract":"Version 2025-10-01 Now works on Igor 9. Tutorial: https://www.bilibili.com/video/BV1MKsbzuEnL/ https://youtu.be/3u5fpI-D8Wk HistBox is a toolkit based on Igor Pro, designed specifically for rapid batch plotting to meet the unique needs of atmospheric science. While there are many general-purpose data visualization software packages available, they often fall short in addressing the specialized research objectives found in atmospheric science. This gap led to the development of the HistBox toolkit since 2013. HistBox features a user-friendly graphical interface that allows users to efficiently conduct data analysis and generate various plots, particularly histograms (including 2D histograms) and box plots. It supports batch plotting of multidimensional data types, such as temporal variations over specific time frames (monthly, weekly, hourly, or user-defined intervals). This capability enables users to filter and group data effectively. The toolkit also includes functions for data alignment and averaging, allowing users to perform batch plotting by year, season, month, day of the week, hour, or custom-defined strings. Additionally, it provides the plotting of time-series heatmaps and three-variable grid heatmaps, enhancing the analytical capabilities for atmospheric research. Please cite this paper if HistBox toolkit is used in your publication: Wu, C., Wu, D., and Yu, J. Z.: Quantifying black carbon light absorption enhancement with a novel statistical approach, Atmos. Chem. Phys., 18, 289-309, doi:10.5194/acp-18-289-2018, 2018. Free download of the latest version of this program can be found at: https://doi.org/10.5281/zenodo.832405 https://sites.google.com/site/wuchengust/ List of programs I developed: ScatterPlotHistogram and BoxplotMRSRT-ECOC raw data processorBenchtop Sunset ECOC analyzer data processorDRI 2001A data SorterSMPS ToolkitMie ScatteringAethalometer data correction ================================================================================================== HistBox 是一个针对大气科学特定需求进行快速批量画图而开发的基于Igor Pro的工具包。虽然市面上已有许多的通用的数据可视化软件,但是不能满足很多大气科学中特定的研究目的,这促成了HistBox工具包的开发。通过友好的图形界面用户可以快速完成数据分析和图形绘制,尤其是直方图和箱式图, 并且可以实现多维度(年季月/星期/小时/用户自定义字符串)的批量绘图(例如逐月的24小时日变化图),支持数据筛选和分组,并提供了数据对齐和平均,及绘制彩虹图等功能。 关于程序的最新信息可以在以下链接里找到: https://sites.google.com/site/wuchengust/ https://doi.org/10.5281/zenodo.832405 如果HistBox被用于公开发表的研究,请引用以下文献: Wu, C.: HistBox, https://doi.org/10.5281/zenodo.832405, 2017. Adoption of Histbox in research publications: Xie, Y., Zeng, L., Hu, S., Wang, T., Du, Z., Tan, T., Xu, N., Chen, S., Mao, J., Xu, F., and Hu, M.: Long-term trends of black carbon levels, sources, and radiative effects from 2013 to 2022 in Beijing, China, npj Clean Air, 1, 10, doi: https://doi.org/10.1038/s44407-025-00010-z, 2025. Wu, B., Wu, C., Ye, Y., Pei, C., Deng, T., Li, Y. J., Lu, X., Wang, L., Hu, B., Li, M., and Wu, D.: Long-term hourly air quality data bridging of neighboring sites using automated machine learning: A case study in the Greater Bay area of China, Atmos. Environ., 321, 120347, doi: https://doi.org/10.1016/j.atmosenv.2024.120347, 2024. Ji, D., Liu, Y., Xu, X., He, J., and Wang, Y.: Long-term variation, solubility and transport pathway of PM2.5-bound iron in a megacity of northern China, Sci. Total. Environ., 908, 167984, doi: https://doi.org/10.1016/j.scitotenv.2023.167984, 2024. Huang, H., Huang, Z., Zou, C., Tang, Y., Li, J., Yu, C., and Zhu, F.: Particle Size, Effects of Distance and Height from Source, Carbon Components, and Source of Dust in Nanchang, Central China, Atmosphere, 15, doi: https://doi.org/10.3390/atmos15010133, 2024. Liu, S., Yang, S., Chen, D., Mao, L., Cheng, X., Zhou, Z., Pei, C., Li, M., and Cheng, C.: Influence of ozone pollution on the mixing state and formation of oxygenated organics containing single particles, Sci. Total. Environ., 926, 171880, doi: https://doi.org/10.1016/j.scitotenv.2024.171880, 2024. Baramoussi, E. I. M. E. I., Ren, Y., Xue, C., Ouchen, I., Daële, V., Mercier, P., Chal","url":"https://doi.org/10.5281/zenodo.19160227","authors":["WU, Cheng"],"tags":["histogram","box plot"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.19160227","addedAt":"2026-08-31T06:39:56.627Z","updatedAt":"2026-08-31T06:39:59.256Z"},{"id":"doi:10.5281/zenodo.832416","name":"Scatter Plot","source":"datacite","abstract":"Version 2025-10-11 Now works on Igor 9. Tutorial: https://www.bilibili.com/video/BV1oEWtz7ECS/ https://youtu.be/sHM2i9ND3VU Scatter Plot is a useful toolkit based on Igor Pro, designed to enhance data visualization efficiency in atmospheric science. While many existing generalized data visualization software options have been widely used, they often fall short in meeting specific research needs in this field. This gap motivated the development of Scatter Plot. The program incorporates the Deming and York algorithms for linear regression, which account for uncertainties in both the X and Y variables, making it more suitable for atmospheric applications. Scatter Plot is equipped with various features for data analysis and graph plotting, including batch plotting, data masking through a user-friendly interface, color coding along the Z-axis, and the ability to filter and group data across different time scales—such as year, season, month, hour, and day of the week. For more details regarding the evaluation and application of Scatter Plot, please refer to For more details regarding the evaluation and application of Scatter Plot, please refer to Wu, C. and Yu, J. Z.: Evaluation of linear regression techniques for atmospheric applications: the importance of appropriate weighting, Atmos. Meas. Tech., 11, 1233-1250, doi: https://doi.org/10.5194/amt-11-1233-2018, 2018. Please cite this paper if Scatter Plot is used in your publication. The latest version of the program can be found on my website: https://wucheng.weebly.com/ https://sites.google.com/site/wuchengust/ https://doi.org/10.5281/zenodo.832416 Scatter Plot toolkit adoption in research publications: Wu, Y., Liu, D., Xu, H., Shan, M., Li, S., Tian, P., Hu, K., and Wang, J.: Analysis of atmospheric pollutant characteristics and regional transport in coastal area along the East China Sea, J. Environ. Sci., 156, 225-238, doi: https://doi.org/10.1016/j.jes.2024.06.040, 2025. Li, W., Qi, Y., Liu, Y., Wu, G., Zhang, Y., Shi, J., Qu, W., Sheng, L., Wang, W., Zhang, D., and Zhou, Y.: Daytime and nighttime aerosol soluble iron formation in clean and slightly polluted moist air in a coastal city in eastern China, Atmos. Chem. Phys., 24, 6495-6508, doi: https://doi.org/10.5194/acp-24-6495-2024, 2024. Wu, B., Wu, C., Ye, Y., Pei, C., Deng, T., Li, Y. J., Lu, X., Wang, L., Hu, B., Li, M., and Wu, D.: Long-term hourly air quality data bridging of neighboring sites using automated machine learning: A case study in the Greater Bay area of China, Atmos. Environ., 321, 120347, doi: https://doi.org/10.1016/j.atmosenv.2024.120347, 2024. Hedges, M., Priestman, M., Chadeau-Hyam, M., Sinharay, R., Kelly, F. J., and Green, D. C.: Characterising a mobile reference station (MoRS) to quantify personal exposure to air quality, Atmos. Environ., 315, 120160, doi: https://doi.org/10.1016/j.atmosenv.2023.120160, 2023. Lin, W., Lai, Y., Zhuang, S., Wei, Q., Zhang, H., Hu, Q., Cheng, P., Zhang, M., Zhai, Y., Wang, Q., Han, Z., and Hou, H.: The effects of prenatal PM2.5 oxidative potential exposure on feto-placental vascular resistance and fetal weight: A repeated-measures study, Environ. Res., 234, 116543, doi: https://doi.org/10.1016/j.envres.2023.116543, 2023. Liu, H., Jia, M., Tao, J., Yao, D., Li, J., Zhang, R., Li, L., Xu, M., Fan, Y., Liu, Y., and Cheng, K.: Elucidating pollution characteristics, temporal variation and source origins of carbonaceous species in Xinxiang, a heavily polluted city in North China, Atmos. Environ., 298, 119626, doi: https://doi.org/10.1016/j.atmosenv.2023.119626, 2023. Liu, Y., Zhou, M., Zhao, M., Jing, S., Wang, H., Lu, K., and Shen, H.: Determination of Urban Formaldehyde Emission Ratios in the Shanghai Megacity, Environ. Sci. Technol., 57, 16489-16499, doi: https://doi.org/10.1021/acs.est.3c06428, 2023. Peng, Y., Wang, H., Wang, Q., Jing, S., An, J., Gao, Y., Huang, C., Yan, R., Dai, H., Cheng, T., Zhang, Q., Li, M., Hu, J., Shi, Z., Li, L., Lou, S., Tao, S., Hu, Q., Lu, J., ","url":"https://doi.org/10.5281/zenodo.832416","authors":["Cheng WU"],"tags":["Deming Regression","York Regression","Weighted orthogonal distance regression","Igor Pro","Scatter Plot"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.832416","addedAt":"2026-08-31T06:39:56.627Z","updatedAt":"2026-08-31T06:39:59.256Z"},{"id":"doi:10.5281/zenodo.19159791","name":"Scatter Plot","source":"datacite","abstract":"Version 2025-10-11 Now works on Igor 9. Tutorial: https://www.bilibili.com/video/BV1oEWtz7ECS/ https://youtu.be/sHM2i9ND3VU Scatter Plot is a useful toolkit based on Igor Pro, designed to enhance data visualization efficiency in atmospheric science. While many existing generalized data visualization software options have been widely used, they often fall short in meeting specific research needs in this field. This gap motivated the development of Scatter Plot. The program incorporates the Deming and York algorithms for linear regression, which account for uncertainties in both the X and Y variables, making it more suitable for atmospheric applications. Scatter Plot is equipped with various features for data analysis and graph plotting, including batch plotting, data masking through a user-friendly interface, color coding along the Z-axis, and the ability to filter and group data across different time scales—such as year, season, month, hour, and day of the week. For more details regarding the evaluation and application of Scatter Plot, please refer to For more details regarding the evaluation and application of Scatter Plot, please refer to Wu, C. and Yu, J. Z.: Evaluation of linear regression techniques for atmospheric applications: the importance of appropriate weighting, Atmos. Meas. Tech., 11, 1233-1250, doi: https://doi.org/10.5194/amt-11-1233-2018, 2018. Please cite this paper if Scatter Plot is used in your publication. The latest version of the program can be found on my website: https://wucheng.weebly.com/ https://sites.google.com/site/wuchengust/ https://doi.org/10.5281/zenodo.832416 Scatter Plot toolkit adoption in research publications: Wu, Y., Liu, D., Xu, H., Shan, M., Li, S., Tian, P., Hu, K., and Wang, J.: Analysis of atmospheric pollutant characteristics and regional transport in coastal area along the East China Sea, J. Environ. Sci., 156, 225-238, doi: https://doi.org/10.1016/j.jes.2024.06.040, 2025. Li, W., Qi, Y., Liu, Y., Wu, G., Zhang, Y., Shi, J., Qu, W., Sheng, L., Wang, W., Zhang, D., and Zhou, Y.: Daytime and nighttime aerosol soluble iron formation in clean and slightly polluted moist air in a coastal city in eastern China, Atmos. Chem. Phys., 24, 6495-6508, doi: https://doi.org/10.5194/acp-24-6495-2024, 2024. Wu, B., Wu, C., Ye, Y., Pei, C., Deng, T., Li, Y. J., Lu, X., Wang, L., Hu, B., Li, M., and Wu, D.: Long-term hourly air quality data bridging of neighboring sites using automated machine learning: A case study in the Greater Bay area of China, Atmos. Environ., 321, 120347, doi: https://doi.org/10.1016/j.atmosenv.2024.120347, 2024. Hedges, M., Priestman, M., Chadeau-Hyam, M., Sinharay, R., Kelly, F. J., and Green, D. C.: Characterising a mobile reference station (MoRS) to quantify personal exposure to air quality, Atmos. Environ., 315, 120160, doi: https://doi.org/10.1016/j.atmosenv.2023.120160, 2023. Lin, W., Lai, Y., Zhuang, S., Wei, Q., Zhang, H., Hu, Q., Cheng, P., Zhang, M., Zhai, Y., Wang, Q., Han, Z., and Hou, H.: The effects of prenatal PM2.5 oxidative potential exposure on feto-placental vascular resistance and fetal weight: A repeated-measures study, Environ. Res., 234, 116543, doi: https://doi.org/10.1016/j.envres.2023.116543, 2023. Liu, H., Jia, M., Tao, J., Yao, D., Li, J., Zhang, R., Li, L., Xu, M., Fan, Y., Liu, Y., and Cheng, K.: Elucidating pollution characteristics, temporal variation and source origins of carbonaceous species in Xinxiang, a heavily polluted city in North China, Atmos. Environ., 298, 119626, doi: https://doi.org/10.1016/j.atmosenv.2023.119626, 2023. Liu, Y., Zhou, M., Zhao, M., Jing, S., Wang, H., Lu, K., and Shen, H.: Determination of Urban Formaldehyde Emission Ratios in the Shanghai Megacity, Environ. Sci. Technol., 57, 16489-16499, doi: https://doi.org/10.1021/acs.est.3c06428, 2023. Peng, Y., Wang, H., Wang, Q., Jing, S., An, J., Gao, Y., Huang, C., Yan, R., Dai, H., Cheng, T., Zhang, Q., Li, M., Hu, J., Shi, Z., Li, L., Lou, S., Tao, S., Hu, Q., Lu, J., ","url":"https://doi.org/10.5281/zenodo.19159791","authors":["Cheng WU"],"tags":["Deming Regression","York Regression","Weighted orthogonal distance regression","Igor Pro","Scatter Plot"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.19159791","addedAt":"2026-08-31T06:39:56.627Z","updatedAt":"2026-08-31T06:39:59.256Z"},{"id":"doi:10.5281/zenodo.19076693","name":"Dragon's Teeth: The PLA's UCAV Arsenal and Taiwan Invasion Strategy","source":"datacite","abstract":"This paper provides a comprehensive open-source intelligence assessment of the People's Liberation Army's unmanned combat aerial vehicle (UCAV) arsenal as it pertains to a potential Taiwan invasion scenario. It examines the PLA's key platforms (CH-901, GJ-2 Wing Loong II, ASN-301, GJ-1/WS-43, GJ-11 Mysterious Dragon, and WZ-7 Soaring Dragon), analyzes Taiwan's geographic vulnerabilities with particular attention to the less-defended eastern flank, and evaluates operational scenarios including first-wave stealth strikes, saturation attacks, and networked multi-domain coordination under the PLA's System of Systems Operations Management (SoSOM) doctrine. The March 2026 update incorporates three developments not available in the October 2024 original: the GJ-11 Mysterious Dragon's transition to near-operational status (confirmed by satellite imagery at Shigatse Air Base, August-September 2025, and public PLAAF formation flight footage, November 2025); the Type 076 Sichuan amphibious assault ship's maiden sea trial (November 2025), which introduces an electromagnetic-catapult-equipped drone carrier capable of operating from Taiwan's eastern coast; and Taiwan's unprecedented countermeasure response, including a proposed NT$1.25 trillion special defense budget targeting 200,000+ UAVs and 1,000+ USVs. The paper includes a STRIDE cybersecurity threat analysis of the PLA UCAV arsenal grounded in 2025 UAV security research, and concludes that the race to translate procurement ambition into operational inventory by the 2027 threshold is the central variable in the cross-strait military balance. Companion paper to the Shahed-238 UCAV Analysis 10.5281/zenodo.19076586","url":"https://doi.org/10.5281/zenodo.19076693","authors":["Bilar, Daniyel Yaacov"],"tags":["PLA","UCAV","RoC","Taiwan","GJ-11","SoSom","loitering munition","Hellscape"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.19076693","addedAt":"2026-08-31T06:39:56.627Z","updatedAt":"2026-08-31T06:40:00.496Z"},{"id":"doi:10.5281/zenodo.19076694","name":"Dragon's Teeth: The PLA's UCAV Arsenal and Taiwan Invasion Strategy","source":"datacite","abstract":"This paper provides a comprehensive open-source intelligence assessment of the People's Liberation Army's unmanned combat aerial vehicle (UCAV) arsenal as it pertains to a potential Taiwan invasion scenario. It examines the PLA's key platforms (CH-901, GJ-2 Wing Loong II, ASN-301, GJ-1/WS-43, GJ-11 Mysterious Dragon, and WZ-7 Soaring Dragon), analyzes Taiwan's geographic vulnerabilities with particular attention to the less-defended eastern flank, and evaluates operational scenarios including first-wave stealth strikes, saturation attacks, and networked multi-domain coordination under the PLA's System of Systems Operations Management (SoSOM) doctrine. The March 2026 update incorporates three developments not available in the October 2024 original: the GJ-11 Mysterious Dragon's transition to near-operational status (confirmed by satellite imagery at Shigatse Air Base, August-September 2025, and public PLAAF formation flight footage, November 2025); the Type 076 Sichuan amphibious assault ship's maiden sea trial (November 2025), which introduces an electromagnetic-catapult-equipped drone carrier capable of operating from Taiwan's eastern coast; and Taiwan's unprecedented countermeasure response, including a proposed NT$1.25 trillion special defense budget targeting 200,000+ UAVs and 1,000+ USVs. The paper includes a STRIDE cybersecurity threat analysis of the PLA UCAV arsenal grounded in 2025 UAV security research, and concludes that the race to translate procurement ambition into operational inventory by the 2027 threshold is the central variable in the cross-strait military balance. Companion paper to the Shahed-238 UCAV Analysis 10.5281/zenodo.19076586","url":"https://doi.org/10.5281/zenodo.19076694","authors":["Bilar, Daniyel Yaacov"],"tags":["PLA","UCAV","RoC","Taiwan","GJ-11","SoSom","loitering munition","Hellscape"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.19076694","addedAt":"2026-08-31T06:39:56.627Z","updatedAt":"2026-08-31T06:40:00.496Z"},{"id":"doi:10.5281/zenodo.18855038","name":"Digging Deep into Ghana's Slavery History - Archeogeophysics Survey Project","source":"datacite","abstract":"The Digging Deep into Ghana’s Slavery History Project is a fully integrated multidisciplinary research program to systematically investigate sites associated with the slave trade in Ghana using state-of-the-art geophysical methods. The trans-Atlantic slave trade had devastating impacts on Africa. These slave relics and sites will provide crucial insights into slave trade routes and the living conditions of enslaved people. One of the sites investigated is the Fort at Tantumquery. The first archaeological and geophysical investigation of the Fort at Tantumquerry was conducted in September 2024. A team from the Department of Physics of the Kwame Nkrumah University of Science and Technology (KNUST) and the University of Ghana’s Department of Archaeology and Heritage Studies (DAHS), with a representative of the Ghana Museums and Monuments Board (GMMB), conducted excavations and geophysical prospections (Electrical Resistivity survey and Ground Penetrating Radar) of the ruinous site of the fort. Background The fort at Tantumquerry was constructed by the Royal African Company (RAC), an English Trading Company, in the 1720s as part of their expanding network of coastal fortifications. The fort’s strategic location enabled control over local trade routes. Historical records indicate that the fort functioned as both a military installation and a commercial hub, facilitating trade relationships with local communities while asserting British territorial claims. The fort is perched on the summit of a low hill, about 30 m above sea level, and about 250 m off the coast of Ekumfi Otuam. The fort at Tantumquery is in Otuam in the Ekumfi District of the Central Region of Ghana. Soils are predominantly sandy loam, grading to clay loam on upper slopes. The tropical climate is characterized by high humidity and distinct wet (April-October) and dry (November-March) seasons, with implications for seasonal variations in soil moisture, which can affect geophysical measurements. Data The workflow for the study involved site selection, unmanned aerial vehicle (UAV) photography, geophysical surveys, archaeological excavation and documentation of archaeological relics. Unmanned aerial vehicle photography was conducted with a DJI Mini 3 Pro system equipped with high-resolution imaging. Electrical Resistivity Tomography (ERT) and Ground Penetrating Radar (GPR) were selected based on site conditions, including surface topography and the anticipated complexity of subsurface archaeological features. A multichannel resistivity system was used to collect apparent resistivity data, whereas a MALA GPR ProEx system was used to acquire GPR data. The data in this collection are processed images of GPR and ERT data, images for site description, artifacts, general images of the team working in the field. The collection has the following data: Geophysics Ground Penetrating Radar processed data Electrical Resistivity processed data Photos Drone shots of site Photographs of Architectural Features Photographs of artifacts General photos of the team working in the field and off-site","url":"https://doi.org/10.5281/zenodo.18855038","authors":["Boateng, Cyril","Dwomoh, Thomas","Dorcas, Asiedu","Mutalabi, Alhassan","Seyram, Amenyo-Xa","Gideon, Agyare","Akyana, Britwum","Kennedy, Atsutse"],"tags":["Electrical Resistivity Tomography","Ground Penetrating Radar","Archeo-geophysics","Fort Tantumquery","Transatlantic slave trade"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.18855038","addedAt":"2026-08-31T06:39:56.627Z","updatedAt":"2026-08-31T06:39:56.627Z"},{"id":"doi:10.5281/zenodo.18855037","name":"Digging Deep into Ghana's Slavery History - Archeogeophysics Survey Project","source":"datacite","abstract":"The Digging Deep into Ghana’s Slavery History Project is a fully integrated multidisciplinary research program to systematically investigate sites associated with the slave trade in Ghana using state-of-the-art geophysical methods. The trans-Atlantic slave trade had devastating impacts on Africa. These slave relics and sites will provide crucial insights into slave trade routes and the living conditions of enslaved people. One of the sites investigated is the Fort at Tantumquery. The first archaeological and geophysical investigation of the Fort at Tantumquerry was conducted in September 2024. A team from the Department of Physics of the Kwame Nkrumah University of Science and Technology (KNUST) and the University of Ghana’s Department of Archaeology and Heritage Studies (DAHS), with a representative of the Ghana Museums and Monuments Board (GMMB), conducted excavations and geophysical prospections (Electrical Resistivity survey and Ground Penetrating Radar) of the ruinous site of the fort. Background The fort at Tantumquerry was constructed by the Royal African Company (RAC), an English Trading Company, in the 1720s as part of their expanding network of coastal fortifications. The fort’s strategic location enabled control over local trade routes. Historical records indicate that the fort functioned as both a military installation and a commercial hub, facilitating trade relationships with local communities while asserting British territorial claims. The fort is perched on the summit of a low hill, about 30 m above sea level, and about 250 m off the coast of Ekumfi Otuam. The fort at Tantumquery is in Otuam in the Ekumfi District of the Central Region of Ghana. Soils are predominantly sandy loam, grading to clay loam on upper slopes. The tropical climate is characterized by high humidity and distinct wet (April-October) and dry (November-March) seasons, with implications for seasonal variations in soil moisture, which can affect geophysical measurements. Data The workflow for the study involved site selection, unmanned aerial vehicle (UAV) photography, geophysical surveys, archaeological excavation and documentation of archaeological relics. Unmanned aerial vehicle photography was conducted with a DJI Mini 3 Pro system equipped with high-resolution imaging. Electrical Resistivity Tomography (ERT) and Ground Penetrating Radar (GPR) were selected based on site conditions, including surface topography and the anticipated complexity of subsurface archaeological features. A multichannel resistivity system was used to collect apparent resistivity data, whereas a MALA GPR ProEx system was used to acquire GPR data. The data in this collection are processed images of GPR and ERT data, images for site description, artifacts, general images of the team working in the field. The collection has the following data: Geophysics Ground Penetrating Radar processed data Electrical Resistivity processed data Photos Drone shots of site Photographs of Architectural Features Photographs of artifacts General photos of the team working in the field and off-site","url":"https://doi.org/10.5281/zenodo.18855037","authors":["Boateng, Cyril","Dwomoh, Thomas","Dorcas, Asiedu","Mutalabi, Alhassan","Seyram, Amenyo-Xa","Gideon, Agyare","Akyana, Britwum","Kennedy, Atsutse"],"tags":["Electrical Resistivity Tomography","Ground Penetrating Radar","Archeo-geophysics","Fort Tantumquery","Transatlantic slave trade"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.18855037","addedAt":"2026-08-31T06:39:56.627Z","updatedAt":"2026-08-31T06:39:56.627Z"},{"id":"doi:10.5281/zenodo.18703199","name":"Aerial Survey of Harmony Point and The Toe (ASPA 133, Nelson Island , Antarctica) for Pygoscelis penguins and Antarctic Shag counts.","source":"datacite","abstract":"This data set contains high resolution ortho-rectified mosaics constructed from drone aerial images, and shapefiles of seabird nests positions. Aerial imagery was collected using a DJI Mavic 3 unmanned aerial vehicle (UAV) equipped with a high-resolution camera at Harmony Point (Fig 1a,b,c). A total of 14 flights were conducted during the peak of the penguin incubation period in December 2024, at an altitude of 100 m above ground level and a speed of 5 m/s, ensuring uniform image resolution while minimizing disturbance to breeding birds. Flights were conducted only under favorable weather conditions. Multiple images were captured with 50% to 70% overlap, totalling 5,932 images. The collected drone imagery was processed using Agisoft Metashape Professional software to generate high-resolution orthomosaic images. Flight operations adhered to guidelines established by the Scientific Committee on Antarctic Research (SCAR) and complied with all permit requirements for drone use in ASPAs. Nest counts were conducted manually by placing a point on each identified nest structure within the orthomosaic images. The positions of Gentoo penguin breeding groups at Harmony Point were marked on-site using a handheld GPS (Garmin Montana I7) to aid in species identification within the orthomosaic images. We did not have access to the Toe site, so the drone was launched from Harmony Point (∼ 3km). Although it is possible to distinguish between the two penguin species based on nest density, additional imagery was captured at an 80 m altitude to confirm species identification. For Antarctic shags, a nest was defined as a bird and its corresponding anatomical structure. For penguin species, a nest was considered occupied if a bird was observed in an incubation posture within the boundary of a guano stain. Data collection was funded by Instituto Antártico Chileno Programa Áreas Marinas Protegidas (AMP 24 09 052) and ANID, through Instituto Milénio de Biodiversidad de Ecosistemas Antárticos y Subantarticos (Programa Iniciativa Milénio ICN2021_002).","url":"https://doi.org/10.5281/zenodo.18703199","authors":["Krüger, Lucas","Pizarro, Eduardo J.","Santa Cruz, Francisco","Mejías, Gaspar","Cabrol, Léa","Vianna, Juliana"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.18703199","addedAt":"2026-08-31T06:39:56.627Z","updatedAt":"2026-08-31T06:39:56.627Z"},{"id":"doi:10.5281/zenodo.18723543","name":"Advancements in Drone and Anti-Drone Systems: A Technical Overview","source":"datacite","abstract":"The unmanned aerial vehicle (UAV) industry has experienced unprecedented technological advancement in 2024-2025, fundamentally transforming applications across military, commercial and civilian sectors. This paper examines the cutting-edge developments in autonomous drone systems, swarm coordination technologies and emerging counter-unmanned aerial systems (C-UAS). We analyze the technical innovations in artificial intelligence-driven autonomy, advanced sensor fusion, distributed swarm protocols and multi-layered detection and mitigation systems. The convergence of AI, edge computing and real-time data processing represents a paradigm shift in both offensive and defensive aerial capabilities. This paper provides a comprehensive technical assessment of current advancements, highlighting the interplay between drone technology evolution and the corresponding development of counter-measures to address security challenges in contested airspace environments.","url":"https://doi.org/10.5281/zenodo.18723543","authors":["K Tony Joseph"],"tags":["Unmanned Aerial Vehicles","Counter-UAS","Drone Swarms","Autonomous Systems","AI Integration","Airspace Security","Sensor Fusion"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.18723543","addedAt":"2026-08-31T06:39:56.627Z","updatedAt":"2026-08-31T06:40:09.764Z"},{"id":"doi:10.5281/zenodo.18723542","name":"Advancements in Drone and Anti-Drone Systems: A Technical Overview","source":"datacite","abstract":"The unmanned aerial vehicle (UAV) industry has experienced unprecedented technological advancement in 2024-2025, fundamentally transforming applications across military, commercial and civilian sectors. This paper examines the cutting-edge developments in autonomous drone systems, swarm coordination technologies and emerging counter-unmanned aerial systems (C-UAS). We analyze the technical innovations in artificial intelligence-driven autonomy, advanced sensor fusion, distributed swarm protocols and multi-layered detection and mitigation systems. The convergence of AI, edge computing and real-time data processing represents a paradigm shift in both offensive and defensive aerial capabilities. This paper provides a comprehensive technical assessment of current advancements, highlighting the interplay between drone technology evolution and the corresponding development of counter-measures to address security challenges in contested airspace environments.","url":"https://doi.org/10.5281/zenodo.18723542","authors":["K Tony Joseph"],"tags":["Unmanned Aerial Vehicles","Counter-UAS","Drone Swarms","Autonomous Systems","AI Integration","Airspace Security","Sensor Fusion"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.18723542","addedAt":"2026-08-31T06:39:56.627Z","updatedAt":"2026-08-31T06:40:09.764Z"},{"id":"doi:10.5281/zenodo.18668418","name":"Hyperspectral Drone Imagery: Bare Soil Fields","source":"datacite","abstract":"This dataset contains two georeferenced tiff images derived from drone-based hyperspectral imaging over bare soil agricultural fields. The fields R13 and S28 collected on September 20, 2024, using an unmanned aerial vehicle (UAV) equipped with a hyperspectral sensor capturing six specific near-infrared bands: 705nm, 740nm, 783nm, 842nm, 865nm, and 945nm. The fields Caritas, L1, L3, M5B, R6, RvK1A_B ans S24 were collected during September and October 2025, using an unmanned aerial vehicle (UAV) equipped with a hyperspectral sensor capturing six specific near-infrared bands: 670nm, 730nm, 800nm, 930nm, 970nm, and 1100nm. The raw sensor data underwent processing using OpenDroneMap software for image stitching, followed by georeferencing correction to ensure spatial accuracy. The resulting tiff files contain digital numbers (DN values) for each spectral band.This dataset may be valuable for agricultural research, soil property analysis, remote sensing development, and related environmental monitoring applications.","url":"https://doi.org/10.5281/zenodo.18668418","authors":["Berkvens, Nick","Bauwens, Jan","Chalazas, Theodorus","Van Beek, Jonathan","Callens, Bert","Van Gehuchten, Aaron","Coppens, Tuna","Kokka, Alexander"],"tags":["Hyperspectral Imaging","Agriculture","Drones","Precision farrming","Bare soil","Remote sensing","Soil science"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.18668418","addedAt":"2026-08-31T06:39:56.627Z","updatedAt":"2026-08-31T06:39:59.256Z"},{"id":"doi:10.5281/zenodo.18425151","name":"Data for Optimizing biomass partitioning in wheat using UAV-based hyperspectral phenomic and genomic prediction: kernel-based and machine learning approaches","source":"datacite","abstract":"Optimizing biomass partitioning is essential for achieving sustainable yield improvement in wheat, particularly under increasing environmental stress. Traits such as spike partitioning index (SPI), harvest index (HI), and fruiting efficiency (FE) are central to understanding how assimilates are allocated between vegetative and reproductive organs. However, their complex physiology and the difficulty of manual phenotyping have limited their routine use in breeding programs. This study assessed the potential of unmanned aerial vehicle (UAV)-based hyperspectral reflectance data to predict biomass partitioning traits and related yield components in wheat. Three trials of facultative soft wheat lines (2022–2024) and an independent validation set of advanced breeding lines were used to develop genomic prediction (GP), phenomic prediction (PP), and integrated multi-omic models combining genomic, phenomic, and environmental covariates (ECs).","url":"https://doi.org/10.5281/zenodo.18425151","authors":["Kunwar, Sudip","Babar, Ali","Jarquin, Diego","Ampatzidis, Yiannis","Khan, Naeem","Acharya, Janam Prabhat","McBreen, Jordan","Adewale, Samuel","Brown-Guedira, Gina Lynn"],"tags":["Biomass partitioning optimization, Data-driven breeding, Environmental covariates, Prediction enhancement, remote sensing, vegetation indices"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.18425151","addedAt":"2026-08-31T06:39:56.627Z","updatedAt":"2026-08-31T06:39:56.627Z"},{"id":"doi:10.5281/zenodo.18425150","name":"Data for Optimizing biomass partitioning in wheat using UAV-based hyperspectral phenomic and genomic prediction: kernel-based and machine learning approaches","source":"datacite","abstract":"Optimizing biomass partitioning is essential for achieving sustainable yield improvement in wheat, particularly under increasing environmental stress. Traits such as spike partitioning index (SPI), harvest index (HI), and fruiting efficiency (FE) are central to understanding how assimilates are allocated between vegetative and reproductive organs. However, their complex physiology and the difficulty of manual phenotyping have limited their routine use in breeding programs. This study assessed the potential of unmanned aerial vehicle (UAV)-based hyperspectral reflectance data to predict biomass partitioning traits and related yield components in wheat. Three trials of facultative soft wheat lines (2022–2024) and an independent validation set of advanced breeding lines were used to develop genomic prediction (GP), phenomic prediction (PP), and integrated multi-omic models combining genomic, phenomic, and environmental covariates (ECs).","url":"https://doi.org/10.5281/zenodo.18425150","authors":["Kunwar, Sudip","Babar, Ali","Jarquin, Diego","Ampatzidis, Yiannis","Khan, Naeem","Acharya, Janam Prabhat","McBreen, Jordan","Adewale, Samuel","Brown-Guedira, Gina Lynn"],"tags":["Biomass partitioning optimization, Data-driven breeding, Environmental covariates, Prediction enhancement, remote sensing, vegetation indices"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.18425150","addedAt":"2026-08-31T06:39:56.627Z","updatedAt":"2026-08-31T06:39:56.627Z"},{"id":"doi:10.5281/zenodo.18418455","name":"Evaluation of Oat Varieties for Agronomic and Spectral Traits in Ireland: Preliminary Insight from OatFrontiers Project","source":"datacite","abstract":"Oat (Avena sativa L.) is the third major cereal crop grown in Ireland and is well-known for its resilience and a cereal break-crop in tillage rotation. Despite the potential, the availability of high-yielding adaptive varieties remains a major constraint for Irish oat cultivation. To address this knowledge gap, the OatFrontiers project (Interreg NPA funded : 2023-2026) is evaluating >390 oats from recurrent selection populations, genotyped by SNP markers, in multi-location trials. The project aims to assess agronomic adaptability and identify genes associated with key traits. In addition, 28 oat varieties from European breeders are also being evaluated for their agronomical and grain quality traits. In the spring of 2024, the first year of the two-years trial, 28 varieties were sown in a replicated trial in Teagasc, Carlow, Ireland. Critical phenological and agronomic data were recorded. Spectral data, collected by a multispectral sensor attached to an Unmanned Aerial Vehicle, was collected to calculate Vegetation Indices for critical growth stages. Preliminary first-year results show that yield varied among varieties, with Raven exhibiting the highest yield (approximately 8 t/ha), while Pol had the lowest (5.2 t/ha). WPB Isabel exhibited stable grain quality for multiple quality parameters. Varieties showed greater differences in panicle filling duration (PFD) (i.e. panicle emergence to maturity) than panicle emergence duration (PED). Regression analysis with the top and bottom five yielding varieties shows PFD had explained 37% of yield variation (r2=0.37), suggesting a moderate association compared to PED (r2=0.04). A regression analysis of NDVI/day at the grain filling stage showed a preliminary association with yield (r2=0.75). Notably, NDVI/day at GS80 distinguished between low- and high-yielding varieties. Preliminary data from a single-year trial suggest that a slower NDVI decline (canopy greenness retention) may lead to higher yields in Ireland’s cool climate. However, this needs further validation through studies of pre- and post-anthesis RUE variation among varieties.","url":"https://doi.org/10.5281/zenodo.18418455","authors":["Rahman, Atikur","Lillemo, Morten","Ilves, Kai","Lin, Min","Sørensen, Espen Sannes","Fossøy, Therese Birkeland","Halland, Hilda","Dalmannsdottir, Sigridur","Hilmarsson, Hrannar Smári","Bitz, Lidija","Bitz, Oliver","Leppälä, Johanna"],"tags":["Oat, Panicle filling duration, yield, NDVI"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.18418455","addedAt":"2026-08-31T06:39:56.627Z","updatedAt":"2026-08-31T06:40:00.496Z"},{"id":"doi:10.5281/zenodo.18418456","name":"Evaluation of Oat Varieties for Agronomic and Spectral Traits in Ireland: Preliminary Insight from OatFrontiers Project","source":"datacite","abstract":"Oat (Avena sativa L.) is the third major cereal crop grown in Ireland and is well-known for its resilience and a cereal break-crop in tillage rotation. Despite the potential, the availability of high-yielding adaptive varieties remains a major constraint for Irish oat cultivation. To address this knowledge gap, the OatFrontiers project (Interreg NPA funded : 2023-2026) is evaluating >390 oats from recurrent selection populations, genotyped by SNP markers, in multi-location trials. The project aims to assess agronomic adaptability and identify genes associated with key traits. In addition, 28 oat varieties from European breeders are also being evaluated for their agronomical and grain quality traits. In the spring of 2024, the first year of the two-years trial, 28 varieties were sown in a replicated trial in Teagasc, Carlow, Ireland. Critical phenological and agronomic data were recorded. Spectral data, collected by a multispectral sensor attached to an Unmanned Aerial Vehicle, was collected to calculate Vegetation Indices for critical growth stages. Preliminary first-year results show that yield varied among varieties, with Raven exhibiting the highest yield (approximately 8 t/ha), while Pol had the lowest (5.2 t/ha). WPB Isabel exhibited stable grain quality for multiple quality parameters. Varieties showed greater differences in panicle filling duration (PFD) (i.e. panicle emergence to maturity) than panicle emergence duration (PED). Regression analysis with the top and bottom five yielding varieties shows PFD had explained 37% of yield variation (r2=0.37), suggesting a moderate association compared to PED (r2=0.04). A regression analysis of NDVI/day at the grain filling stage showed a preliminary association with yield (r2=0.75). Notably, NDVI/day at GS80 distinguished between low- and high-yielding varieties. Preliminary data from a single-year trial suggest that a slower NDVI decline (canopy greenness retention) may lead to higher yields in Ireland’s cool climate. However, this needs further validation through studies of pre- and post-anthesis RUE variation among varieties.","url":"https://doi.org/10.5281/zenodo.18418456","authors":["Rahman, Atikur","Lillemo, Morten","Ilves, Kai","Lin, Min","Sørensen, Espen Sannes","Fossøy, Therese Birkeland","Halland, Hilda","Dalmannsdottir, Sigridur","Hilmarsson, Hrannar Smári","Bitz, Lidija","Bitz, Oliver","Leppälä, Johanna"],"tags":["Oat, Panicle filling duration, yield, NDVI"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.18418456","addedAt":"2026-08-31T06:39:56.627Z","updatedAt":"2026-08-31T06:40:00.496Z"},{"id":"doi:10.5061/dryad.bzkh189nw","name":"Ground and aerial imagery dataset for strawberry breeding trials: Training deep learning models for runner detection and segmentation","source":"datacite","abstract":"Runners play a crucial role in vegetative propagation and provide a cost-effective method for expanding strawberry production, excessive growth presents significant challenges. Uncontrolled runner development diverts energy from the mother plant, leading to smaller, lower-quality fruit and ultimately reducing overall yield. Accurate and efficient identification of strawberry runners is essential for optimizing crop management and propagation. This dataset was prepared to enhance the automation of strawberry runner identification in field environments by developing a deep learning-based approach. A diverse dataset of strawberry images was collected, encompassing a wide range of varieties, different growth stages, and multiple growing seasons. Images were captured using three different platforms and cameras at varying altitudes to improve dataset diversity: 0.5 m above the ground level (AGL) for ground imaging (GI), 10 m AGL for aerial imaging (AI10), and 5 m AGL for aerial imaging (AI5). All raw images were preprocessed to segment individual plants. out and saved. Runners were annotated using polygonal masks to delineate their boundaries, with a single class designated for runner identification.","url":"https://doi.org/10.5061/dryad.bzkh189nw","authors":["Zhou, Xue","Wang, Xu","Whitaker, Vance","Ji, Liyike","Shen, Kai","Daggubati, Santhi"],"tags":["FOS: Agriculture, forestry, and fisheries","strawberry","Deep learning","Runner detection and segmentation","polygon annotated data","model training"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5061/dryad.bzkh189nw","addedAt":"2026-08-31T06:39:56.627Z","updatedAt":"2026-08-31T06:39:59.256Z"},{"id":"doi:10.5061/dryad.79cnp5j6n","name":"Tree mycorrhizal associations regulate relationships between plant and microbial communities and soil organic carbon stocks at local scales in a temperate forest","source":"datacite","abstract":"Forests store substantial amounts of soil organic carbon (SOC), but SOC stocks differ strongly between forest ecosystems dominated by arbuscular mycorrhizal (AM) or ectomycorrhizal (EcM) fungi. In temperate forests, nearly all tree species associate with either AM or EcM fungi, but it is unclear if variation in SOC stocks is linked to the dominance of AM vs. EcM trees at local scales. However, SOC stocks are also influenced by many other factors, including plant diversity, plant traits, soil properties and microbial community composition, that can vary substantially at small spatial scales. Thus, elucidating how tree mycorrhizal associations interact with other drivers of SOC formation at local scales could improve our understanding of forest SOC storage. Using multivariate data from a 25-ha temperate forest plot, we hypothesized that SOC stocks would be greater in AM-dominated than in EcM-dominated subplots, due to the rapid decomposition of labile litter inputs from AM trees. We expected that variation in SOC stocks would be explained by interactions between AM-associations, plant diversity or traits, and soil microbial communities. We also accounted for differences in soil abiotic conditions and used piecewise structural equation models to identify potential causal pathways. Forest stand attributes played a primary role in predicting forest SOC stocks (45% relative contribution), compared to microbial community composition (26%) and abiotic factors (20%). Forest SOC stocks increased with plant and litterfall diversity and root diameter but declined with soil clay-silt content. Importantly, forest SOC stocks were lower in subplots with a high ratio of EcM to saprotrophic fungi and subplots with high predominance of bacterial functions related to carbon and nitrogen cycling. Our models suggest that smaller SOC stocks in stands with high EcM dominance are indirectly linked to lower tree species diversity, greater litter carbon input and distinct soil microbial community composition. Our findings highlight that tree mycorrhizal type also influences SOC storage at local scales but stand-level relationships between SOC stocks and mycorrhizal dominance differ from regional and global patterns. We show that mycorrhizal associations regulate complex relationships between producers, decomposers, and soil properties at small spatial scales. Considering these linkages could therefore improve estimates and management of temperate forest SOC stocks.","url":"https://doi.org/10.5061/dryad.79cnp5j6n","authors":["Zhang, Mengxu","Sayer, Emma","Ye, Ji","Yuan, Zuoqiang","Lin, Fei","Hao, Zhanqing","Fang, Shuai","Mao, Zikun","Jiang, Pengcheng","Zhu, Meihui","Wang, Xugao"],"tags":["mycorrhizal associations","plant traits","Soil fungi and bacteria","Soil organic carbon (SOC) stock","tree species diversity","Microbial Functional Groups","temperate forest","FOS: Natural sciences"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5061/dryad.79cnp5j6n","addedAt":"2026-08-31T06:39:56.627Z","updatedAt":"2026-08-31T06:39:56.627Z"},{"id":"doi:10.5061/dryad.9cnp5hqtr","name":"Data from: Selection of appropriate multispectral camera exposure settings and radiometric calibration methods for applications in phenotyping and precision agriculture","source":"datacite","abstract":"The radiometric accuracy of multispectral images is crucial for quantitative precision agriculture and phenotyping applications. Very often the effect of exposure time and gain on radiometric accuracy is overlooked, and most application acquire images using the camera's auto-exposure settings. However, the large scene-to-scene variations in exposure time and gain in response to the reflective range of objects on ground significantly affects the radiometic accuracy of the auto-exposure images. On the other hand, the use of fixed-exposure settings result in spatiotemporally consistent radiometric measurements from multispectral images. This dataset will provide the necessary information to replicate the results of our published work (https://doi.org/10.1002/ppj2.70000), which includes studying (1) the variations in exposure settings for different objects in the scene, (2) potential radiometric errors when using auto-exposure settings, (3) the ideal exposure range for the different multispectral bands, (4) the spaiotemporal radiometric accuracy of auto- and fixed-exposure settings, and (3) the performance of auto- and fixed-exposure settings for cotton nitrogen monitoring.","url":"https://doi.org/10.5061/dryad.9cnp5hqtr","authors":["Swaminathan, Vaishali"],"tags":["FOS: Agriculture, forestry, and fisheries","Multispectral camera","Exposure settings","UAV","Agriculture","Remote sensing"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.5061/dryad.9cnp5hqtr","addedAt":"2026-08-31T06:39:56.627Z","updatedAt":"2026-08-31T06:39:56.627Z"},{"id":"doi:10.5061/dryad.wh70rxwwx","name":"Data from: A new Middle Jurassic lagoon margin assemblage of theropod and sauropod dinosaur trackways from the Isle of Skye, Scotland","source":"datacite","abstract":"Although globally scarce, Middle Jurassic dinosaur tracks are known from the Isle of Skye, Scotland, and help indicate the palaeoenvironmental preferences and behaviour of major dinosaur clades. Here, we report an extensive new tracksite from Skye: 131 in-situ dinosaur tracks at Prince Charles’s Point on the Trotternish Peninsula. The tracks occur in multiple horizons of rippled sandstones of the Late Bathonian aged Kilmaluag Formation, part of the Great Estuarine Group, which formed in a locally, shallowly submerged marginal lagoon. We assign these tracks to two morphotypes, further divided into four morphotype subgroups, most likely representing large megalosaurid theropods, and sauropods that are either non-neosauropods or basal neosauropods. The trackways, although relatively short, evidence time-averaged milling behaviour, as observed at other tracksites in the Great Estuarine Group. The presence of sequential manus and pes sauropod tracks amends their previous identification by geologists as fish resting burrows, raising the potential that other such structures locally and globally may in fact be dinosaur tracks, and emphasises the predominant occurrence of sauropods in lagoonal palaeoenvironments in the Great Estuarine Group. At Prince Charles’s Point, however, unlike previously described lagoonal assemblages, large theropod trackmakers are more abundant than sauropods.","url":"https://doi.org/10.5061/dryad.wh70rxwwx","authors":["Blakesley, Tone","dePolo, Paige E.","Wade, Thomas J.","Ross, Dugald A.","Brusatte, Stephen L."],"tags":["FOS: Earth and related environmental sciences","FOS: Earth and related environmental sciences","Middle Jurassic","Ichnology","Great Estuarine Group","photogrammetry","trackways","Kilmaluag Formation"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5061/dryad.wh70rxwwx","addedAt":"2026-08-31T06:39:56.627Z","updatedAt":"2026-08-31T06:39:56.627Z"},{"id":"doi:10.48550/arxiv.2506.05572","name":"UAV-Based Remote Sensing of Soil Moisture Across Diverse Land Covers: Validation and Bayesian Uncertainty Characterization","source":"datacite","abstract":"High-resolution soil moisture (SM) observations are critical for agricultural monitoring, forestry management, and hazard prediction, yet current satellite passive microwave missions cannot directly provide retrievals at tens-of-meter spatial scales. Unmanned aerial vehicle (UAV) mounted microwave radiometry presents a promising alternative, but most evaluations to date have focused on agricultural settings, with limited exploration across other land covers and few efforts to quantify retrieval uncertainty. This study addresses both gaps by evaluating SM retrievals from a drone-based Portable L-band Radiometer (PoLRa) across shrubland, bare soil, and forest strips in Central Illinois, U.S., using a 10-day field campaign in 2024. Controlled UAV flights at altitudes of 10 m, 20 m, and 30 m were performed to generate brightness temperatures (TB) at spatial resolutions of 7 m, 14 m, and 21 m. SM retrievals were carried out using multiple tau-omega-based algorithms, including the single channel algorithm (SCA), dual channel algorithm (DCA), and multi-temporal dual channel algorithm (MTDCA). A Bayesian inference framework was then applied to provide probabilistic uncertainty characterization for both SM and vegetation optical depth (VOD). Results show that the gridded TB distributions consistently capture dry-wet gradients associated with vegetation density variations, and spatial correlations between polarized observations are largely maintained across scales. Validation against in situ measurements indicates that PoLRa derived SM retrievals from the SCAV and MTDCA algorithms achieve unbiased root-mean-square errors (ubRMSE) generally below 0.04 m3/m3 across different land covers. Bayesian posterior analyses confirm that reference SM values largely fall within the derived uncertainty intervals, with mean uncertainty ranges around 0.02 m3/m3 and 0.11 m3/m3 for SCA and DCA related retrievals.","url":"https://doi.org/10.48550/arxiv.2506.05572","authors":["Zhang, Runze","Aziz, Ishfaq","Houtz, Derek","Zhao, Yuxiang","Ford, Trent W.","Watts, Adam C.","Alipour, Mohamad"],"tags":["Signal Processing (eess.SP)","FOS: Electrical engineering, electronic engineering, information engineering","FOS: Electrical engineering, electronic engineering, information engineering"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.48550/arxiv.2506.05572","addedAt":"2026-08-31T06:39:56.627Z","updatedAt":"2026-08-31T06:39:56.627Z"},{"id":"doi:10.57760/sciencedb.18749","name":"The dataset of multispectral UAV imagery and ground-observed leaf chlorophyll content and leaf area index from the wheat experimental area in Gaocheng, Hebei Province in 2024","source":"datacite","abstract":"The experimental area of this dataset is located in Gaocheng District, Shijiazhuang City, Hebei Province. Five unmanned aerial vehicle (UAV) flight experiments and synchronized measurements of leaf chlorophyll content (LCC) and leaf area index (LAI) were conducted during the 2024 wheat growing season. This dataset includes 5 drone multispectral images from March to June 2024 with a spatial resolution of 5-7cm, LCC in 480 wheat plots, and LAI in 451 wheat plots.","url":"https://doi.org/10.57760/sciencedb.18749","authors":["Jiachen, Li","Hu, Zhang","Junhua, Bai","Xue, Liu","Qinhuo, Liu","Jing, Li"],"tags":["Photogrammetry and remote sensing technology","Leaf chlorophyll content","Leaf area index","Unmanned aerial vehicle multispectral image"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.57760/sciencedb.18749","addedAt":"2026-08-31T06:39:56.627Z","updatedAt":"2026-08-31T06:39:56.627Z"},{"id":"doi:10.57760/sciencedb.35069","name":"A Himalayan marmot hole target recognition dataset incorporating habitat information","source":"datacite","abstract":"The Himalayan marmot holes is a key indicator for monitoring the natural plague reservoirs on the Qinghai-Xizang Plateau. Unmanned aerial vehicle (UAV) remote sensing combined with deep learning technology provides an efficient means for identifying marmot holes. However, traditional annotation methods are prone to missed detections due to the occlusion of hole entrances. The annotation strategy that integrates habitat information can effectively improve the recognition accuracy. This dataset takes the typical Marmota himalayana plague focus in the Xizang Autonomous Region of China as the research area and uses the low-altitude unmanned aerial vehicle remote sensing images obtained from July 2021 to July 2024 as the data source.After cropping the UAV images with a 416×416 pixel window, a total of 375 typical image samples containing marmot holes were selected. The samples support two annotation formats: YOLO and COCO, and include two types of label sets: only the hole object representing the exposed marmot hole entrance, and the hole-mounds object integrating the surrounding soil and rock habitat information. The dataset is divided into training set, validation set, and test set in a 6:2:2 ratio.The above sample set was collected and produced in the academic paper titled \"Drone-based remote sensing identification of himalayan marmot holes integrating habitat information\". For other details, please refer to this paper.","url":"https://doi.org/10.57760/sciencedb.35069","authors":["Hongyan, Ren","huang kun","tashi "],"tags":["Surveying and mapping science and technology","Geography","Himalayan marmot holes","UAV remote sensing","habitat-integrated information annotation strategy"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.57760/sciencedb.35069","addedAt":"2026-08-31T06:39:56.627Z","updatedAt":"2026-08-31T06:39:56.627Z"},{"id":"doi:10.5281/zenodo.11396768","name":"Challenges of Civil Application of 'Drones' for Commercial Purposes in the Logistics and Transportation Sector","source":"datacite","abstract":"Abstract ‘Drone’ is a widely used term to refer to any aerial vehicle being operated by using remote commands from a pilot or relying on software for autonomous flight. This aircraft type is more formally known as an Unmanned Aerial Vehicle (UAV), often forming an integral part of an Unmanned Aircraft System (UAS). Introducing such aerial devices in several civil contexts has been considered one of the biggest disruptive technologies of the present decade. Nowadays, such aerial vehicles are being operated for multiple business activities intended for commercial purposes. Shortly, when it comes to the transportation sector, in addition to common use concerning surveillance and security services, it aims to carry goods for logistic services when delivering small parcels and spare parts. It is also expected to make even greater use of commercial drones in the coming years since the massive use of such an aircraft is creating a new market with large economic potential, thus leading the aeronautic industry to point out that the emerging technologies in the drone application have a positive impact on innovation at national levels. Nevertheless, the weakness of the related air operations in terms of safety in crowded urban environments and a lack of a stable global legal framework with adequate guarantees of privacy and other fundamental rights and values complicate the issue still further and constitute an obstacle to the full social acceptance of these flying machines. Accepted Manuscrit Version (AM) Publisedh as Raya, A.M., Esteve, J.S. (2024). Challenges of Civil Application of ‘Drones’ for Commercial Purposes in the Logistics and Transportation Sector. In: Carou, D., Sartal, A., Davim, J.P. (eds) Applying Drones to Current Societal and Industrial Challenges. Management and Industrial Engineering. Springer, Cham. https://doi.org/10.1007/978-3-031-55571-8_9","url":"https://doi.org/10.5281/zenodo.11396768","authors":["Martínez Raya, Antonio","Sarrión Esteve, Joaquín"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.5281/zenodo.11396768","addedAt":"2026-08-31T06:39:56.627Z","updatedAt":"2026-08-31T06:39:56.627Z"},{"id":"doi:10.5281/zenodo.18098210","name":"Innovative Solutions to Enhance the Security of EU Borders","source":"datacite","abstract":"This article presents the research conducted within the ODYSSEUS project regarding the application of machine learning (ML) and artificial intelligence (AI) techniques to enhance modern border management in the European Union. It details the integration of key technologies such as AI-powered continuous behavioural verification for secure traveller validation and biometric facial recognition that enables identity checks without requiring travellers to stop. The publication explores ML-driven solutions for vehicle monitoring, utilizing Unmanned Aerial Vehicles (UAVs) equipped with thermal and high-resolution cameras for license plate recognition and the detection of hidden passengers. Furthermore, it highlights the platform's reliance on Explainable AI (XAI) tools such as LIME and SHAP to ensure transparency and trust in decision-making processes, allowing border authorities to understand the rationale behind automated risk assessments. Finally, the document underscores the system's compliance with ethical standards and privacy regulations like GDPR, offering a scalable framework validated through pilots at land, water, and train border crossings.Border Security Report, September/October 2024, page 42-48All rights reserved.","url":"https://doi.org/10.5281/zenodo.18098210","authors":["ODYSSEUS Project Consortium"],"tags":["EU border security; border management; security technologies; ODYSSEUS"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.5281/zenodo.18098210","addedAt":"2026-08-31T06:39:56.627Z","updatedAt":"2026-08-31T06:39:56.627Z"},{"id":"doi:10.5281/zenodo.17990380","name":"DEEP FARM : OLIVE use case Dataset","source":"datacite","abstract":"This document provides a structured description of the datasets collected within the scope of the project. The aim is to ensure transparency, reproducibility, and proper understanding of the data by the users: The datasets support research activities related to environmental monitoring and image-based analysis and consist of three main data types: (i) weather sensor data, (ii) drone-based imagery, and Overview of Data Types Weather Sensor Data The weather and soil-related data used in this study were obtained from an Agricultural Sensor Station (FilizPro), an IoT-based monitoring system designed for field-levelenvironmental observation. The station provides continuous measurements of key parameters such as soil temperature and soil moisture, as well as weather-related indicators relevant to irrigation management, disease and frost risk assessment, and spraying time optimization.The technical brochure of the sensor station, detailing the device specifications and measured variables, is provided in the same folder for reference (agricultural-sensor-station pdf file). Format: CSV File location: Sensor_Data_raw Temporal resolution: hourly Coordinate information: 38.45235156772274, 27.198033270322433 The raw sensor files are provided without modification. Drone Imagery Aerial images were captured using an unmanned aerial vehicle (UAV) to support field-level observation and analysis. The drone used for image acquisition was the DJI Mavic 3M, manufactured by DJI Enterprise.The technical brochure and user manual of the UAV are provided in the same folder for reference (DJI_Mavic_3M_User_Manual_EN).A total of 11 field visits were conducted at the pilot farm for drone image acquisition. The dates of the visits are listed below:• 25 July 2024• 04 September 2024• 17 April 2025• 18 April 2025• 08 May 2025• 15 May 2025 • 29 May 2025• 16 July 2025• 11 September 2025• 25 September 2025• 12 November 2025 Format: JPG / PNG/TIF/PDF File location: Drone_Images Image resolution: [e.g., 4000 × 3000 pixels] Intended Use & Scope of ReuseThe datasets are intended for research, analysis, and model development within the scope of the project. Acknowledgment:This dataset was collected by the team at YASAR University as part of the Deep Farm Erasmus+ project. Access to the dataset is restricted. Interested users may request access via Zenodo for research or educational purposes.","url":"https://doi.org/10.5281/zenodo.17990380","authors":["Yaşar University"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.17990380","addedAt":"2026-08-31T06:39:56.627Z","updatedAt":"2026-08-31T06:39:59.256Z"},{"id":"doi:10.5281/zenodo.17990379","name":"DEEP FARM : OLIVE use case Dataset","source":"datacite","abstract":"This document provides a structured description of the datasets collected within the scope of the project. The aim is to ensure transparency, reproducibility, and proper understanding of the data by the users: The datasets support research activities related to environmental monitoring and image-based analysis and consist of three main data types: (i) weather sensor data, (ii) drone-based imagery, and Overview of Data Types Weather Sensor Data The weather and soil-related data used in this study were obtained from an Agricultural Sensor Station (FilizPro), an IoT-based monitoring system designed for field-levelenvironmental observation. The station provides continuous measurements of key parameters such as soil temperature and soil moisture, as well as weather-related indicators relevant to irrigation management, disease and frost risk assessment, and spraying time optimization.The technical brochure of the sensor station, detailing the device specifications and measured variables, is provided in the same folder for reference (agricultural-sensor-station pdf file). Format: CSV File location: Sensor_Data_raw Temporal resolution: hourly Coordinate information: 38.45235156772274, 27.198033270322433 The raw sensor files are provided without modification. Drone Imagery Aerial images were captured using an unmanned aerial vehicle (UAV) to support field-level observation and analysis. The drone used for image acquisition was the DJI Mavic 3M, manufactured by DJI Enterprise.The technical brochure and user manual of the UAV are provided in the same folder for reference (DJI_Mavic_3M_User_Manual_EN).A total of 11 field visits were conducted at the pilot farm for drone image acquisition. The dates of the visits are listed below:• 25 July 2024• 04 September 2024• 17 April 2025• 18 April 2025• 08 May 2025• 15 May 2025 • 29 May 2025• 16 July 2025• 11 September 2025• 25 September 2025• 12 November 2025 Format: JPG / PNG/TIF/PDF File location: Drone_Images Image resolution: [e.g., 4000 × 3000 pixels] Intended Use & Scope of ReuseThe datasets are intended for research, analysis, and model development within the scope of the project. Acknowledgment:This dataset was collected by the team at YASAR University as part of the Deep Farm Erasmus+ project. Access to the dataset is restricted. Interested users may request access via Zenodo for research or educational purposes.","url":"https://doi.org/10.5281/zenodo.17990379","authors":["Yaşar University"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.17990379","addedAt":"2026-08-31T06:39:56.627Z","updatedAt":"2026-08-31T06:39:59.256Z"},{"id":"doi:10.5281/zenodo.3824263","name":"Unmanned aerial system data of Lirung Glacier and Langtang Glacier for 2013–2018","source":"datacite","abstract":"This dataset contains the raw data as well as produced image mosaics, digital elevation models (DEMs) and data derivatives of optical (RGB) unmanned aerial vehicle surveys of the debris-covered Lirung Glacier (9 surveys, 2013–2018) and Langtang Glacier (7 surveys, 2014–2018) in the Langtang Catchment, Nepalese Himalaya. All data in this dataset are stored in tape archive (tar) or gzip-compressed tape archive (tar.gz) formats and require extraction before use. The projected coordinate system used in this dataset is WGS 1984 UTM Zone 45N (EPSG:32645). Survey dates are always provided as yyyymmdd. File descriptions dems_ .tar20 cm resolution DEMs that were derived from the raw UAV images. DEMs of all survey dates are included in the tar archives. File format is GeoTIFF. orthomosaics_ .tar10 cm resolution image mosaics of orthorectified source imagery (orthomosaics) that were derived from the raw UAV images. Orthomosaics of all survey dates are included in the tar archives. File format is GeoTIFF. point-clouds_ .tar.gzRaw dense point clouds that were derived from the raw UAV images. Point clouds of all survey dates are included in the tar archive. File format is ASPRS LAS. Note that additional gzip-compression has been applied to the archives. raw-data_ _ .tarRaw data of each of the surveys that were performed over 2013–2018. The filename includes the glacier name and the survey date. Each tar archive contains directories for each UAV flight associated to that specific survey, indicated by f1, f2, ..., fn. The flight directories have the following contents: imgSubdirectory that contains the individual images in JPEG format captured by the UAV camera. *flight_path.kml (not present for all surveys)Keyhole Markup Language file that contains the flight path of the UAV recorded by the UAV's internal GPS+GLONASS sensor. *image_geoinfo.txtTable with coordinates (x,y,z) and UAV orientation (roll, tilt, yaw) for every image in img, which were recorded by the UAV's internal GPS+GLONASS sensor and gyroscope, respectively. *drone_log.bbx or *drone_log.bb3Binary flight log file from the UAV containing detailed flight information. Can be read by the proprietary eMotion software by UAV manufacturer senseFly. supplementary-animation_ .gifAnimations of Langtang Glacier (2014–2018) and Lirung Glacier (2013–2017) supplementary to Kraaijenbrink and Immerzeel (2025). The high resolution time lapse animations are constructed from composites of the orthomosaic and hillshaded DEM. Since the animations are in GIF format, they are best viewed in a web browser in which they can be zoomed and panned. supplementary-animation_lirung_terminus_retreat.mp4Three-dimensional fly-by video animation of the terminus retreat of Lirung Glacier (2013–2017), supplementary to Kraaijenbrink and Immerzeel (2025). supplementary-data-to-article.tarData derivatives as presented in Kraaijenbrink & Immerzeel (2024). The tar archive contains a README file with additional information for each of the datasets present in the archive. The archive contains: Error measurements of the UAV product Vector outlines of the area of interests of both glaciers Point cloud extracts of supraglacial ice cliff cross profiles Flow and gradient corrected DEMs (1 m resolution) Pixel-wise regression of the uncorrected and flow-corrected DEMs (1 m resolution) Surface velocity between survey pairs (8 m resolution) Reference For further information, e.g. about the UAV systems and cameras used, as well as detailed descriptions of the data and the applied data processing please refer to the accompanying journal article. Kraaijenbrink, P. D. A., & Immerzeel, W. W. (2025). Spatial and temporal variability of the surface mass balance of debris‐covered glacier tongues. Journal of Geophysical Research: Earth Surface, 130, e2024JF007935. https://doi.org/10.1029/2024JF007935 License This dataset is licensed under Creative Commons Attribution 4.0 International (CC BY 4.0).(https://creativecommons.org/licenses/by/4.","url":"https://doi.org/10.5281/zenodo.3824263","authors":["Kraaijenbrink, P. D. A.","Immerzeel, W. W."],"tags":["Cryosphere","Glaciology","Remote sensing","Debris-covered glaciers","Unmanned aerial vehicles","Digital elevation models","Orthomosaics","Point clouds"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.3824263","addedAt":"2026-08-31T06:39:56.627Z","updatedAt":"2026-08-31T06:39:59.256Z"},{"id":"doi:10.5281/zenodo.17284942","name":"RivAIrSet: A multitemporal high-resolution dataset of UAV imagery with river water area annotations","source":"datacite","abstract":"The RivAIrSet dataset was collected over a six-year period (2019–2024) along a 3 km reach of the Basento River in the Basilicata region of Southern Italy, along the industrial area of Ferrandina (MT) (40°29′57.2″N, 16°29′59.5″E). Within this section, the river channel varies in width from 90 to 200 m, with a flow regime characterized by peak discharge during autumn–winter and lower flow conditions in summer. Located in the mid-basin area, this reach is prone to recurrent flooding events, resulting in enhanced erosion and sediment transport processes that contribute to significant hydro-geomorphological hazards. RivAIrSet was acquired using Unmanned Aerial Vehicle (UAV) equipped with a nadir-oriented RGB camera following preprogrammed flight paths. The dataset contains 7,630 high-resolution RGB images (.JPG) collected during six survey campaigns under varying weather and hydrological conditions. Each image includes embedded EXIF metadata with GPS coordinates and camera parameters (F-stop, exposure time, ISO, focal length). Corresponding annotation files (.json), generated using the AnyLabeling tool, delineate river water areas through polygon coordinates labeled as “water”. Each image is paired with its respective annotation file, sharing an identical filename (e.g., DJI_11.JPG and DJI_11.json). The dataset is organised into six directories, each named according to the survey year (e.g., 2019, 2020). Within each directory, two subfolders are provided: images, containing the RGB photographs, and labels, containing the corresponding annotation files. Files are numbered sequentially within each survey to enable straightforward integration into a comprehensive dataset spanning all acquisition campaigns. CitationsUsers of RivAIrSet are kindly invited to cite the corresponding publication, as follows: La Salandra, M., Colacicco, R., Dellino, P., & Capolongo, D. (2025). RivAIrSet: A multitemporal high-resolution UAV imagery dataset for machine learning-based river water segmentation. Data in Brief, 112356. https://doi.org/10.1016/j.dib.2025.112356","url":"https://doi.org/10.5281/zenodo.17284942","authors":["La Salandra, Marco","Colacicco, Rosa","Dellino, Pierfrancesco","Capolongo, Domenico"],"tags":["Unmanned Aerial Devices","Machine Learning","River water"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.17284942","addedAt":"2026-08-31T06:39:56.627Z","updatedAt":"2026-08-31T06:39:59.256Z"},{"id":"doi:10.6084/m9.figshare.30833852.v1","name":"2019-2024年儋州市橡胶林分布","source":"datacite","abstract":"This study used Sentinel-2 multi-rule remote sensing images and a deep learning method to construct a deep learning model that could generate a distribution map of rubber plantations in Danzhou City, Hainan Province, from 2019 to 2024. For biomass modeling, 52 sample plots (27 of which were historical plots) were integrated, and the canopy structure was extracted as an auxiliary variable from the point cloud data generated by an unmanned aerial vehicle survey.If you require raw high-resolution raster data from other periods, please contact Dr. Qiu Zixuan at zixuanqiu@hainanu.edu.cn.","url":"https://doi.org/10.6084/m9.figshare.30833852.v1","authors":["Qiu, Zixuan","Chen, Yingtan"],"tags":["Forestry management and environment"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.6084/m9.figshare.30833852.v1","addedAt":"2026-08-31T06:39:56.627Z","updatedAt":"2026-08-31T06:39:56.627Z"},{"id":"doi:10.6084/m9.figshare.30833852","name":"2019-2024年儋州市橡胶林分布","source":"datacite","abstract":"This study used Sentinel-2 multi-rule remote sensing images and a deep learning method to construct a deep learning model that could generate a distribution map of rubber plantations in Danzhou City, Hainan Province, from 2019 to 2024. For biomass modeling, 52 sample plots (27 of which were historical plots) were integrated, and the canopy structure was extracted as an auxiliary variable from the point cloud data generated by an unmanned aerial vehicle survey.If you require raw high-resolution raster data from other periods, please contact Dr. Qiu Zixuan at zixuanqiu@hainanu.edu.cn.","url":"https://doi.org/10.6084/m9.figshare.30833852","authors":["Qiu, Zixuan","Chen, Yingtan"],"tags":["Forestry management and environment"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.6084/m9.figshare.30833852","addedAt":"2026-08-31T06:39:56.627Z","updatedAt":"2026-08-31T06:39:56.627Z"},{"id":"doi:10.4121/8c78107e-e8ab-4ea6-a612-f3052e7f8fc3.v1","name":"Orthorectified Images for Circular Scanline Fracture Analysis, Parmelan, France","source":"datacite","abstract":"Orthorectified images from fracture networks in Lower Cretaceous carbonates of the Parmelan, France. The outcrop is used as an analogue to a fractured geothermal reservoir in the Geneva Basin. UAV missions with a Mavic 3 were executed June 2024. The photos taken during the missions are the input for modelling with Agisoft Metashape to create the orthorectified images. They are georeferenced in UTM 32N framework. Each image is accompanied by a *.tfw with the same name. Please get in contact if the original photos are needed. In the paper 'A Fracture Never Comes Alone: Associations of Fractures and Stylolites in Analogue Outcrops Improve Borehole Image Interpretations of Fractured Carbonate Geothermal Reservoirs', the location of the orthoimages is displayed in figure 4. Field observation in the form of circular scanlines are compared with data derived from the orthoimages, to evaluate the importance of ground measurements compared to UAV-derived data. On the images, targets (orange, green or red markers) indicate the locality where circular scanlines with radius of 1 meter are taken.","url":"https://doi.org/10.4121/8c78107e-e8ab-4ea6-a612-f3052e7f8fc3.v1","authors":["Hupkes, Jasper","Bruna, Pierre-Olivier","Bertotti, Giovanni","Feliu, Nil"],"tags":["Earth Sciences","Geology","FOS: Earth and related environmental sciences","Energy Exploration","Energy","Renewable Energy","Fracture Networks","outcrop analogues"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.4121/8c78107e-e8ab-4ea6-a612-f3052e7f8fc3.v1","addedAt":"2026-08-31T06:39:56.627Z","updatedAt":"2026-08-31T06:39:56.627Z"},{"id":"doi:10.4121/8c78107e-e8ab-4ea6-a612-f3052e7f8fc3","name":"Orthorectified Images for Circular Scanline Fracture Analysis, Parmelan, France","source":"datacite","abstract":"Orthorectified images from fracture networks in Lower Cretaceous carbonates of the Parmelan, France. The outcrop is used as an analogue to a fractured geothermal reservoir in the Geneva Basin. UAV missions with a Mavic 3 were executed June 2024. The photos taken during the missions are the input for modelling with Agisoft Metashape to create the orthorectified images. They are georeferenced in UTM 32N framework. Each image is accompanied by a *.tfw with the same name. Please get in contact if the original photos are needed. In the paper 'A Fracture Never Comes Alone: Associations of Fractures and Stylolites in Analogue Outcrops Improve Borehole Image Interpretations of Fractured Carbonate Geothermal Reservoirs', the location of the orthoimages is displayed in figure 4. Field observation in the form of circular scanlines are compared with data derived from the orthoimages, to evaluate the importance of ground measurements compared to UAV-derived data. On the images, targets (orange, green or red markers) indicate the locality where circular scanlines with radius of 1 meter are taken.","url":"https://doi.org/10.4121/8c78107e-e8ab-4ea6-a612-f3052e7f8fc3","authors":["Hupkes, Jasper","Bruna, Pierre-Olivier","Bertotti, Giovanni","Feliu, Nil"],"tags":["Earth Sciences","Geology","FOS: Earth and related environmental sciences","Energy Exploration","Energy","Renewable Energy","Fracture Networks","outcrop analogues"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.4121/8c78107e-e8ab-4ea6-a612-f3052e7f8fc3","addedAt":"2026-08-31T06:39:56.627Z","updatedAt":"2026-08-31T06:39:56.627Z"},{"id":"doi:10.25365/thesis.79578","name":"A solution technique for the truck and drone parcel delivery problem","source":"datacite","abstract":"Diese Arbeit befasst sich mit den drängenden Herausforderungen des städtischen Güterverkehrs und der letzten Meile in der Europäischen Union. Insbesondere das starke Wachstum des Onlinehandels sowie die fortschreitende Urbanisierung erhöhen den Druck auf bestehende Transportinfrastrukturen. Der Straßengüterverkehr dominiert zwar weiterhin die Logistik, verursacht jedoch einen beträchtlichen Anteil an Treibhausgasemissionen, Luftschadstoffen und Verkehrsstaus (WEF, 2024; Sustainable Urban Logistics Plans, EU, 2023). Vor dem Hintergrund der europäischen Klimapolitik und ambitionierter Nachhaltigkeitsziele gewinnt daher die Entwicklung innovativer Konzepte an Bedeutung, um Transportprozesse mit den Emissionsreduktionsvorgaben in Einklang zu bringen (Levrey, 2024; Mahmoodi et al., 2025). In diesem Kontext wird ein heuristik-basierter Planungsansatz vorgestellt, der klassische Methoden der Routenoptimierung mit neuen Lieferkonzepten – darunter unbemannte Luftfahrzeuge (UAVs) und autonome Systeme – verbindet. Ziel ist es, Lieferketten so zu gestalten, dass technische Rahmenbedingungen wie begrenzte Drohnenreichweiten, Nutzlastgrenzen, Ladeinfrastruktur oder gesetzliche Flugverbotszonen berücksichtigt werden, ohne die praktische Anwendbarkeit durch übermäßige Rechenlast zu gefährden (Mahmoodi et al., 2025; Cicek et al., 2025). Die empirischen Ergebnisse verdeutlichen die Zielkonflikte zwischen Kosten, Zeitaufwand und ökologischen Effekten. Besonders in dicht besiedelten urbanen Räumen lassen sich mit kombinierten Drohnen-Lkw-Modellen die CO₂-Emissionen um bis zu 20 % im Vergleich zu rein dieselbetriebenen Lkw-Systemen senken (Bao et al., 2025). Damit liefert die Arbeit einen Beitrag zur wissenschaftlichen Debatte über nachhaltige urbane Logistik, indem sie sowohl theoretische Grundlagen als auch praxisnahe Ansätze zusammenführt. Der entwickelte Algorithmus unterstreicht das Potenzial hybrider Zustelllösungen, die den Einsatz von Drohnen mit Lkw und die Integration von E-Cargobikes kombinieren. Solche Konzepte eröffnen neue Möglichkeiten, Emissionen zu verringern und die Effizienz in der letzten Meile zu erhöhen. Über die wissenschaftliche Relevanz hinaus bieten die Erkenntnisse wertvolle Anhaltspunkte für politische Entscheidungsträger, Logistikunternehmen und Stadtverwaltungen, die auf dem Weg zu sauberen, resilienten und intelligenten städtischen Transportsystemen sind – im Einklang mit dem European Green Deal sowie den Nachhaltigkeitsstrategien der Europäischen Kommission (Levrey, 2024; Sustainable Urban Logistics Plans, EU, 2023).","url":"https://doi.org/10.25365/thesis.79578","authors":["Lidi, Márk"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.25365/thesis.79578","addedAt":"2026-08-31T06:39:56.627Z","updatedAt":"2026-08-31T06:39:59.256Z"},{"id":"doi:10.5439/3000917","name":"Vertical column dual-comb spectroscopy to a TBS","source":"datacite","abstract":"Open-path dual-frequency-comb spectroscopy (DCS) is a broadband, high spectral resolution, and high precision method for measuring gas concentrations over kilometer-scale paths. It has been used for detection and quantification of emissions of pollutants, hazardous gasses, and greenhouse gasses (GHGs). DCS has been shown to measure trace-gas mixing ratios with 0.14%-0.4% agreement between instruments. To achieve high signal-to-noise ratios (SNRs) with DCS, comb light is targeted onto a retroreflector at the end of the measurement path, which returns the signal to a detector co-located with the launch signal. Installing the retroreflector on a mobile platform such as a balloon or unmanned aerial vehicle (UAV) extends the capabilities of DCS by enabling variable path lengths, greater mobility, and access to higher altitudes. Mobile-target DCS has many uses in plume and leak detection, emissions modeling, and planetary boundary layer (PBL) studies. It is a promising method for observing vertical distributions of GHGs and mixing processes in the PBL, which are difficult to measure but important for pollution and climate monitoring as well as for understanding transport of gasses through the atmosphere. Tethered balloons are an intriguing platform because they enable longer flight durations and higher altitudes than easily obtainable with a UAV and thus allow for column measurements up to and above the PBL. New measurements completed in October/November 2024 reach the highest altitudes above ground level yet achieved by mobile-target DCS. For these measurements, the retroreflector was mounted on a 7 m diameter tethered helium balloon. An actively tracking gimbal on the ground holds the DCS launch telescope and keeps the 5 cm beam pointed onto the retroreflector while the balloon is lifted, lowered, and moved by wind and turbulence.","url":"https://doi.org/10.5439/3000917","authors":["Kasic, James","Coddington, Ian","Ding, Roger","Ruiz, Carlos","Dexheimer, Darielle","Van, Aaron","Christensen, Allie","Urayama, Junji","Schwindt, Peter"],"tags":["carbon dioxide concentration","co2","methane concentration","ch4","water vapor mixing ratio","h2o","boundary layer","troposphere"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5439/3000917","addedAt":"2026-08-31T06:39:56.627Z","updatedAt":"2026-08-31T06:39:56.627Z"},{"id":"doi:10.6084/m9.figshare.c.8119397.v1","name":"Insight into magmatic pathways and subsurface structures from repeated UAV magnetic prospecting at Piton de la Fournaise volcano, Réunion Island","source":"datacite","abstract":"Abstract Volcanic activity disturbs the existing magnetic field, and analysis of the resulting magnetic anomalies provides information about the internal structure and evolution of active systems within edifices. This study focuses on the South-East Rift Zone (SERZ) of Piton de la Fournaise, specifically the eruptive site of September 2022, which offers a unique opportunity to characterise the thermal state, the subsurface structures, and to obtain information about the global fluid dynamics of this highly active area. For this purpose, we performed high-resolution aeromagnetic surveys using an Unmanned Aerial Vehicle (UAV) in November 2022 and May 2024 to investigate the evolution of the eruptive site. At a regional scale, first order 3D modelling of the magnetic anomalies primarily reveals a negative magnetic axis with a N120° orientation. Comparative analysis with 3D Interferometric Synthetic Aperture Radar data modelling shows a significant correlation between this demagnetised axis, the depth, and the volume of magmatic intrusions along the rift-zone. This result suggests the presence of a N120°-trending mechanical weakness intersecting the SERZ that has some control over the internal dynamics of the magmatic and hydrothermal fluids in the area. In addition, we quantify the temporal evolution of the magnetic signals associated with the September 2022 lava flow by means of repeated UAV measurements from May 2024 and estimate a global increase of several hundreds of nanoteslas (between 150 and 900 nT) linked to the magnetisation caused by the lava cooling during this time. We then successfully explore on a more local scale the ability of UAV magnetic prospecting to detect lava tubes using semi-quantitative 2D models. These results demonstrate the potential of UAV magnetic surveys to characterise the spatio-temporal evolution of magnetic signals from Piton de la Fournaise. Such multi-scale analysis of magnetic structures within the edifice indicates the potential of 4D monitoring for obtaining a better understanding of the volcano’s evolution. Graphical Abstract","url":"https://doi.org/10.6084/m9.figshare.c.8119397.v1","authors":["Guillard, Romain","Gailler, Lydie","Labazuy, Philippe","Thebault, Erwan","Régis, Edouard","Dumont, Quentin"],"tags":["Geology","FOS: Earth and related environmental sciences"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.6084/m9.figshare.c.8119397.v1","addedAt":"2026-08-31T06:39:56.627Z","updatedAt":"2026-08-31T06:39:56.627Z"},{"id":"doi:10.6084/m9.figshare.c.8119397","name":"Insight into magmatic pathways and subsurface structures from repeated UAV magnetic prospecting at Piton de la Fournaise volcano, Réunion Island","source":"datacite","abstract":"Abstract Volcanic activity disturbs the existing magnetic field, and analysis of the resulting magnetic anomalies provides information about the internal structure and evolution of active systems within edifices. This study focuses on the South-East Rift Zone (SERZ) of Piton de la Fournaise, specifically the eruptive site of September 2022, which offers a unique opportunity to characterise the thermal state, the subsurface structures, and to obtain information about the global fluid dynamics of this highly active area. For this purpose, we performed high-resolution aeromagnetic surveys using an Unmanned Aerial Vehicle (UAV) in November 2022 and May 2024 to investigate the evolution of the eruptive site. At a regional scale, first order 3D modelling of the magnetic anomalies primarily reveals a negative magnetic axis with a N120° orientation. Comparative analysis with 3D Interferometric Synthetic Aperture Radar data modelling shows a significant correlation between this demagnetised axis, the depth, and the volume of magmatic intrusions along the rift-zone. This result suggests the presence of a N120°-trending mechanical weakness intersecting the SERZ that has some control over the internal dynamics of the magmatic and hydrothermal fluids in the area. In addition, we quantify the temporal evolution of the magnetic signals associated with the September 2022 lava flow by means of repeated UAV measurements from May 2024 and estimate a global increase of several hundreds of nanoteslas (between 150 and 900 nT) linked to the magnetisation caused by the lava cooling during this time. We then successfully explore on a more local scale the ability of UAV magnetic prospecting to detect lava tubes using semi-quantitative 2D models. These results demonstrate the potential of UAV magnetic surveys to characterise the spatio-temporal evolution of magnetic signals from Piton de la Fournaise. Such multi-scale analysis of magnetic structures within the edifice indicates the potential of 4D monitoring for obtaining a better understanding of the volcano’s evolution. Graphical Abstract","url":"https://doi.org/10.6084/m9.figshare.c.8119397","authors":["Guillard, Romain","Gailler, Lydie","Labazuy, Philippe","Thebault, Erwan","Régis, Edouard","Dumont, Quentin"],"tags":["Geology","FOS: Earth and related environmental sciences"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.6084/m9.figshare.c.8119397","addedAt":"2026-08-31T06:39:56.627Z","updatedAt":"2026-08-31T06:39:56.627Z"},{"id":"doi:10.48550/arxiv.2510.13823","name":"A Simulator for FANETs Using 5G Vehicle-to-Everything Communications and Named-Data Networking","source":"datacite","abstract":"This work presents a simulator designed for the validation, evaluation, and demonstration of flying adhoc networks (FANETs) using 5G vehicle-to-everything (V2X) communications and the named-data networking (NDN) paradigm. The simulator integrates the ns-3 network simulator and the Zenoh NDN protocol, enabling realistic testing of applications that involve the multi-hop communication among multiple unmanned aerial vehicles (UAVs).","url":"https://doi.org/10.48550/arxiv.2510.13823","authors":["Rúa-Estévez, José Manuel","Meleiro-Estévez, Alicia","Fondo-Ferreiro, Pablo","Gil-Castiñeira, Felipe","Sánchez-Rama, Brais","Gomez-Gonzalez, Lois"],"tags":["Networking and Internet Architecture (cs.NI)","FOS: Computer and information sciences","FOS: Computer and information sciences"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.48550/arxiv.2510.13823","addedAt":"2026-08-31T06:39:56.627Z","updatedAt":"2026-08-31T06:39:56.627Z"},{"id":"doi:10.5281/zenodo.17296418","name":"Aerial Survey of Harmony Point and The Toe (ASPA 133, Nelson Island , Antarctica) for Pygoscelis penguins and Antarctic Shag counts.","source":"datacite","abstract":"This data set contains high resolution ortho-rectified mosaics constructed from drone aerial images, and shapefiles of seabird nests positions. Aerial imagery was collected using a DJI Mavic 3 unmanned aerial vehicle (UAV) equipped with a high-resolution camera at Harmony Point (Fig 1a,b,c). A total of 14 flights were conducted during the peak of the penguin incubation period in December 2024, at an altitude of 100 m above ground level and a speed of 5 m/s, ensuring uniform image resolution while minimizing disturbance to breeding birds. Flights were conducted only under favorable weather conditions. Multiple images were captured with 50% to 70% overlap, totalling 5,932 images. The collected drone imagery was processed using Agisoft Metashape Professional software to generate high-resolution orthomosaic images. Flight operations adhered to guidelines established by the Scientific Committee on Antarctic Research (SCAR) and complied with all permit requirements for drone use in ASPAs. Nest counts were conducted manually by placing a point on each identified nest structure within the orthomosaic images. The positions of Gentoo penguin breeding groups at Harmony Point were marked on-site using a handheld GPS (Garmin Montana I7) to aid in species identification within the orthomosaic images. We did not have access to the Toe site, so the drone was launched from Harmony Point (∼ 3km). Although it is possible to distinguish between the two penguin species based on nest density, additional imagery was captured at an 80 m altitude to confirm species identification. For Antarctic shags, a nest was defined as a bird and its corresponding anatomical structure. For penguin species, a nest was considered occupied if a bird was observed in an incubation posture within the boundary of a guano stain. Data collection was funded by Instituto Antártico Chileno Programa Áreas Marinas Protegidas (AMP 24 09 052) and ANID, through Instituto Milénio de Biodiversidad de Ecosistemas Antárticos y Subantarticos (Programa Iniciativa Milénio ICN2021_002).","url":"https://doi.org/10.5281/zenodo.17296418","authors":["Krüger, Lucas","pizarro, eduardo","Santa Cruz, Francisco","Mejías, Gaspar","Cabrol, Léa","Vianna, Juliana"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.17296418","addedAt":"2026-08-31T06:39:56.627Z","updatedAt":"2026-08-31T06:39:56.627Z"},{"id":"doi:10.48550/arxiv.2410.17585","name":"Energy-Optimal Planning of Waypoint-Based UAV Missions -- Does Minimum Distance Mean Minimum Energy?","source":"datacite","abstract":"Multirotor unmanned aerial vehicle is a prevailing type of aerial robots with wide real-world applications. The energy efficiency of the robot is a critical aspect of its performance, determining the range and duration of the missions that can be performed. This paper studies the energy-optimal planning of the multirotor, which aims at finding the optimal ordering of waypoints with the minimum energy consumption for missions in 3D space. The study is performed based on a previously developed model capturing first-principle energy dynamics of the multirotor. We found that in majority of the cases (up to 95%) the solutions of the energy-optimal planning are different from those of the traditional traveling salesman problem which minimizes the total distance. The difference can be as high as 14.9%, with the average at 1.6%-3.3% and 90th percentile at 3.7%-6.5% depending on the range and number of waypoints in the mission. We then identified and explained the key features of the minimum-energy order by correlating to the underlying flight energy dynamics. It is shown that instead of minimizing the distance, coordination of vertical and horizontal motion to promote aerodynamic efficiency is the key to optimizing energy consumption.","url":"https://doi.org/10.48550/arxiv.2410.17585","authors":["Michel, Nicolas","Patnaik, Ayush","Kong, Zhaodan","Lin, Xinfan"],"tags":["Robotics (cs.RO)","Systems and Control (eess.SY)","FOS: Computer and information sciences","FOS: Computer and information sciences","FOS: Electrical engineering, electronic engineering, information engineering","FOS: Electrical engineering, electronic engineering, information engineering"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.48550/arxiv.2410.17585","addedAt":"2026-08-31T06:39:56.627Z","updatedAt":"2026-08-31T06:39:56.627Z"},{"id":"doi:10.5281/zenodo.16875125","name":"Results from field tests for a Ducted Contra-Rotating VTOL UAV","source":"datacite","abstract":"This dataset comprises field test results for a Ducted Contra-Rotating Vertical Take-Off and Landing (VTOL) Unmanned Aerial Vehicle (UAV), organised by flight mode: Stabilise and AltHold. Tests conducted on 13-09-2024 were performed in Stabilise mode, while those on 14-09-2024 were conducted in AltHold mode. Each folder contains video recordings capturing the flight tests and corresponding log files detailing performance metrics and operational data. This repository provides valuable insights into the UAV’s behavior and performance under different flight control configurations, suitable for researchers and engineers studying VTOL UAV dynamics.","url":"https://doi.org/10.5281/zenodo.16875125","authors":["Langa, Nkosingiphile"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.16875125","addedAt":"2026-08-31T06:39:56.627Z","updatedAt":"2026-08-31T06:39:56.627Z"},{"id":"doi:10.20944/preprints202502.1654.v1","name":"Combining UAV Photogrammetry and TLS for Change Detection on Slovenian Coastal Cliffs","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202502.1654.v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.20944/preprints202502.1654.v1","addedAt":"2026-08-31T06:39:56.627Z","updatedAt":"2026-08-31T06:40:05.995Z"},{"id":"doi:10.21203/rs.3.rs-4878776/v1","name":"Assessment of Encroachment along the Urban River using Unmanned Ariel Vehicle","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-4878776/v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.21203/rs.3.rs-4878776/v1","addedAt":"2026-08-31T06:39:56.627Z","updatedAt":"2026-08-31T06:39:57.918Z"},{"id":"doi:10.20944/preprints202412.2605.v1","name":"Decentralized Robust Direct MRAC via E-Modification for the Pose of a Quadrotor UAV","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202412.2605.v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.20944/preprints202412.2605.v1","addedAt":"2026-08-31T06:39:56.627Z","updatedAt":"2026-08-31T06:39:57.918Z"},{"id":"doi:10.22541/au.174493998.82962524/v1","name":"Impacts of a hydroelectric dam and human land uses on water quality and aquatic macroinvertebrate assemblages in the Phong River, Thailand","source":"preprints","abstract":"","url":"https://doi.org/10.22541/au.174493998.82962524/v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.22541/au.174493998.82962524/v1","addedAt":"2026-08-31T06:39:56.627Z","updatedAt":"2026-08-31T06:40:05.995Z"},{"id":"doi:10.22541/au.173543562.21395553/v1","name":"Compressive sensing based grant-free access for large-scale distributed networks","source":"preprints","abstract":"","url":"https://doi.org/10.22541/au.173543562.21395553/v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.22541/au.173543562.21395553/v1","addedAt":"2026-08-31T06:39:56.627Z","updatedAt":"2026-08-31T06:39:57.918Z"},{"id":"doi:10.20944/preprints202411.0488.v1","name":"Vineyard Groundcover Biodiversity: Using Deep Learning to Differentiate Cover Crop Communities from Aerial RGB Imagery","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202411.0488.v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.20944/preprints202411.0488.v1","addedAt":"2026-08-31T06:39:56.627Z","updatedAt":"2026-08-31T06:39:57.918Z"},{"id":"doi:10.22541/au.171364766.62802903/v1","name":"Design of Overhead Ground Wire Repair Robot Based on Unmanned Aerial Vehicles","source":"preprints","abstract":"","url":"https://doi.org/10.22541/au.171364766.62802903/v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.22541/au.171364766.62802903/v1","addedAt":"2026-08-31T06:39:56.627Z","updatedAt":"2026-08-31T06:39:57.918Z"},{"id":"doi:10.20944/preprints202412.1122.v1","name":"Advanced Path Optimization for UAV Swarms in Disaster Response Scenarios Using Hybrid Metaheuristic Algorithms","source":"europepmc","abstract":"","url":"https://doi.org/10.20944/preprints202412.1122.v1","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.20944/preprints202412.1122.v1","addedAt":"2026-08-31T06:39:56.627Z","updatedAt":"2026-08-31T06:40:09.764Z"},{"id":"doi:10.20944/preprints202403.1725.v1","name":"Pulsed Propulsion of Unmanned Aerial Vehicles by Centrifugal Force Modulation - First-Order Theory and Practicability","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202403.1725.v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.20944/preprints202403.1725.v1","addedAt":"2026-08-31T06:39:56.627Z","updatedAt":"2026-08-31T06:39:57.918Z"},{"id":"doi:10.20944/preprints202406.0254.v1","name":"Horizontal-Vertical Interpretation of Mangrove Using Data Unmanned Aerial Vehicles in Tongke-tongke Indonesia","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202406.0254.v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.20944/preprints202406.0254.v1","addedAt":"2026-08-31T06:39:56.627Z","updatedAt":"2026-08-31T06:39:57.918Z"},{"id":"doi:10.22541/au.172967271.10569615/v1","name":"Fair Resource Allocation with Noise DDPG for UAV enabled ISAC Systems","source":"preprints","abstract":"","url":"https://doi.org/10.22541/au.172967271.10569615/v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.22541/au.172967271.10569615/v1","addedAt":"2026-08-31T06:39:56.627Z","updatedAt":"2026-08-31T06:39:57.918Z"},{"id":"doi:10.20944/preprints202411.0017.v1","name":"A Sliding Mode Approach to Vector Field Path Following for a Fixed-Wing UAV","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202411.0017.v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.20944/preprints202411.0017.v1","addedAt":"2026-08-31T06:39:56.627Z","updatedAt":"2026-08-31T06:39:57.918Z"},{"id":"doi:10.20944/preprints202409.0536.v1","name":"Estimating Carbon Stock in Unmanaged Forests Using Field Data and Remote Sensing","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202409.0536.v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.20944/preprints202409.0536.v1","addedAt":"2026-08-31T06:39:56.627Z","updatedAt":"2026-08-31T06:39:57.918Z"},{"id":"doi:10.22541/au.172491739.93906383/v1","name":"A logistic regression model for predicting vegetation recruitment into gravel-bed and sand-bed rivers","source":"preprints","abstract":"","url":"https://doi.org/10.22541/au.172491739.93906383/v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.22541/au.172491739.93906383/v1","addedAt":"2026-08-31T06:39:56.627Z","updatedAt":"2026-08-31T06:39:57.918Z"},{"id":"doi:10.21203/rs.3.rs-4898028/v1","name":"Multitemporal monitoring of forest indicator species using UAV and machine learning image recognition","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-4898028/v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.21203/rs.3.rs-4898028/v1","addedAt":"2026-08-31T06:39:56.627Z","updatedAt":"2026-08-31T06:39:57.918Z"},{"id":"doi:10.20944/preprints202411.2405.v1","name":"Design and Performance Study of a Solar UAV for Martian Exploration","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202411.2405.v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.20944/preprints202411.2405.v1","addedAt":"2026-08-31T06:39:56.627Z","updatedAt":"2026-08-31T06:39:57.918Z"},{"id":"doi:10.21203/rs.3.rs-4949976/v1","name":"ISiamDW：Improved SiamRPN Target Tracking Algorithm Based on Inverted Residual Mobile Block","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-4949976/v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.21203/rs.3.rs-4949976/v1","addedAt":"2026-08-31T06:39:56.627Z","updatedAt":"2026-08-31T06:39:57.918Z"},{"id":"doi:10.20944/preprints202408.0112.v1","name":"Research on Vehicle-UAV Integrated Routing Optimization Problem to Deliver Medical Supplies","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202408.0112.v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.20944/preprints202408.0112.v1","addedAt":"2026-08-31T06:39:56.627Z","updatedAt":"2026-08-31T06:39:57.918Z"},{"id":"doi:10.20944/preprints202410.1212.v1","name":"Extending Conflict-Based Search for Optimal and Efficient Quadrotor Swarm Motion Planning","source":"europepmc","abstract":"","url":"https://doi.org/10.20944/preprints202410.1212.v1","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.20944/preprints202410.1212.v1","addedAt":"2026-08-31T06:39:56.627Z","updatedAt":"2026-08-31T06:40:09.764Z"},{"id":"doi:10.21203/rs.3.rs-4958444/v1","name":"Multi-View Stereo of UAV Remote Sensing Images Based on Adaptive Propagation with Multi-Region Refinement","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-4958444/v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.21203/rs.3.rs-4958444/v1","addedAt":"2026-08-31T06:39:56.627Z","updatedAt":"2026-08-31T06:39:57.918Z"},{"id":"doi:10.20944/preprints202409.1763.v1","name":"Identification of Rice Varieties Based on Nutritional Quality Estimation Through UAV Hyperspectral Imaging","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202409.1763.v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.20944/preprints202409.1763.v1","addedAt":"2026-08-31T06:39:56.627Z","updatedAt":"2026-08-31T06:39:57.918Z"},{"id":"doi:10.20944/preprints202409.1091.v1","name":"Multi-UAV Escape Target Search: A Multi-Agent Reinforce-ment Learning Method","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202409.1091.v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.20944/preprints202409.1091.v1","addedAt":"2026-08-31T06:39:56.627Z","updatedAt":"2026-08-31T06:39:57.918Z"},{"id":"doi:10.20944/preprints202410.1253.v1","name":"HoloGaussian Digital Twin: Reconstructing 3D Scenes With Gaussian Splatting for Tabletop Hologram Visualization of Real Environment","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202410.1253.v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.20944/preprints202410.1253.v1","addedAt":"2026-08-31T06:39:56.627Z","updatedAt":"2026-08-31T06:39:57.918Z"},{"id":"doi:10.21203/rs.3.rs-3899680/v1","name":"Disturbance Observer - Based Finite-Time Fault Tolerant Control of Quadrotor Unmanned Aerial Vehicles with Command Filtered and Event-Triggered Techniques","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-3899680/v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.21203/rs.3.rs-3899680/v1","addedAt":"2026-08-31T06:39:56.627Z","updatedAt":"2026-08-31T06:39:57.918Z"},{"id":"doi:10.20944/preprints202410.1381.v1","name":"Experimental Aerodynamics of a Small Fixed-Wing UAV Coated with Bio-Inspired Microfibers Under Static and Dynamic Stall","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202410.1381.v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.20944/preprints202410.1381.v1","addedAt":"2026-08-31T06:39:56.627Z","updatedAt":"2026-08-31T06:39:57.918Z"},{"id":"doi:10.20944/preprints202408.0998.v1","name":"A Study on a Radio Source Location Estimation System Using High Altitude Platform Stations (HAPS)","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202408.0998.v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.20944/preprints202408.0998.v1","addedAt":"2026-08-31T06:39:56.627Z","updatedAt":"2026-08-31T06:39:57.918Z"},{"id":"doi:10.22541/au.172873854.40275141/v1","name":"Low-cost alternative for monitoring soil erosion based on UAV imagery","source":"preprints","abstract":"In anthropized environments such as agricultural zones, soil degradation significantly impacts crop productivity, environmental and economic Sustainability. This degradation is often accelerated by man with inadequate management. The risks associated with soil degradation are particularly pronounced in tropical regions, where extremely weathered soils and rainfall dynamics exacerbate erosion. Soil loss due to erosion is a subject already known by the scientific community and producers with global estimates, but its characterization in the tropical environment is still a dimension that is poorly integrated on a local scale. In this context, this study aimed to validate the use of a simple RGB camera on a Unmanned Aerial Vehicle (UAV) to quantify small-scale erosion in Curral de Cima municipality, Paraíba, Brazil. To this end, a monitoring strategy with biweekly observations over a course of a year was implemented. The results indicate. In this context, and based on this validation, this work proposes to discuss the interest of PRAs in the integrated management of soil, water and economic resources in a tropical environment, demonstrating their interest in integrating the panel of precision agriculture tools by also supporting the “conservation” dimension,thus being able to value soil degradation remotely.","url":"https://doi.org/10.22541/au.172873854.40275141/v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.22541/au.172873854.40275141/v1","addedAt":"2026-08-31T06:39:56.627Z","updatedAt":"2026-08-31T06:39:57.918Z"},{"id":"doi:10.21203/rs.3.rs-4933752/v1","name":"Integrated Task offloading Scheduling and Trajectory Optimization for UAV-MEC Using SAC-UTO","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-4933752/v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.21203/rs.3.rs-4933752/v1","addedAt":"2026-08-31T06:39:56.627Z","updatedAt":"2026-08-31T06:39:57.918Z"},{"id":"doi:10.21203/rs.3.rs-4746087/v1","name":"Modeling and Capacity Analysis of UAVs-assisted Three-tier Heterogeneous Wireless Networks","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-4746087/v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.21203/rs.3.rs-4746087/v1","addedAt":"2026-08-31T06:39:56.627Z","updatedAt":"2026-08-31T06:39:57.918Z"},{"id":"doi:10.21203/rs.3.rs-4069977/v1","name":"Artificial-Noise-Aided Power-efficient Multicast Directional Modulation Scheme of UAV Communication Networks","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-4069977/v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.21203/rs.3.rs-4069977/v1","addedAt":"2026-08-31T06:39:56.627Z","updatedAt":"2026-08-31T06:39:57.918Z"},{"id":"doi:10.21203/rs.3.rs-4715867/v1","name":"A Multi-Layer Heterogeneous Task Scheduling Strategy in UAVs-assisted MEC Networks","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-4715867/v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.21203/rs.3.rs-4715867/v1","addedAt":"2026-08-31T06:39:56.627Z","updatedAt":"2026-08-31T06:39:57.918Z"},{"id":"doi:10.20944/preprints202410.0617.v1","name":"Defoliation Categorization in Soybean with Machine Learning Algorithms and UAV Multispectral Data","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202410.0617.v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.20944/preprints202410.0617.v1","addedAt":"2026-08-31T06:39:56.627Z","updatedAt":"2026-08-31T06:39:57.918Z"},{"id":"doi:10.20944/preprints202408.1223.v1","name":"Evaluation of the Usability of UAV LiDAR for Analysis of Karst(Doline) Terrain Morphology","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202408.1223.v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.20944/preprints202408.1223.v1","addedAt":"2026-08-31T06:39:56.627Z","updatedAt":"2026-08-31T06:39:57.918Z"},{"id":"doi:10.20944/preprints202408.0979.v1","name":"DQN-Based Shaped Reward Function Mould for UAV Emergency Communication","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202408.0979.v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.20944/preprints202408.0979.v1","addedAt":"2026-08-31T06:39:56.627Z","updatedAt":"2026-08-31T06:39:57.918Z"},{"id":"doi:10.21203/rs.3.rs-4410227/v1","name":"Finite-time tracking control of tanker/UAV formation with hose connection based on constraint space","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-4410227/v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.21203/rs.3.rs-4410227/v1","addedAt":"2026-08-31T06:39:56.627Z","updatedAt":"2026-08-31T06:39:57.918Z"},{"id":"doi:10.20944/preprints202404.1853.v1","name":"Visual Odometry in GPS Denied Zones for Fixed-Wing UAV with Reduced Accumulative Error Based on Satellite Imaginary","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202404.1853.v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.20944/preprints202404.1853.v1","addedAt":"2026-08-31T06:39:56.627Z","updatedAt":"2026-08-31T06:39:57.918Z"},{"id":"doi:10.20944/preprints202408.0409.v1","name":"Automated Cloud Shadow Detection from Satellite Orthoimages with Un-corrected Cloud Relief Displacements","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202408.0409.v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.20944/preprints202408.0409.v1","addedAt":"2026-08-31T06:39:56.627Z","updatedAt":"2026-08-31T06:39:57.918Z"},{"id":"doi:10.21203/rs.3.rs-4410939/v1","name":"Drone-View Detection of YOLO via Tandem Cross Self-Attention and Contextual-Aware Module","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-4410939/v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.21203/rs.3.rs-4410939/v1","addedAt":"2026-08-31T06:39:56.627Z","updatedAt":"2026-08-31T06:39:57.918Z"},{"id":"doi:10.1101/2024.08.13.607729","name":"Weed Instance Segmentation from UAV ortho-mosaic Images based on Deep Learning","source":"preprints","abstract":"","url":"https://doi.org/10.1101/2024.08.13.607729","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.1101/2024.08.13.607729","addedAt":"2026-08-31T06:39:56.627Z","updatedAt":"2026-08-31T06:39:57.918Z"},{"id":"doi:10.21203/rs.3.rs-4634624/v1","name":"Intelligent Detection Technology for Concrete Cracks in Bridge Baseplate Based on Machine Vision","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-4634624/v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.21203/rs.3.rs-4634624/v1","addedAt":"2026-08-31T06:39:56.627Z","updatedAt":"2026-08-31T06:39:57.918Z"},{"id":"doi:10.20944/preprints202407.0799.v1","name":"An Image Compensation-based Range–Doppler model for SAR High-Precision Positioning","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202407.0799.v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.20944/preprints202407.0799.v1","addedAt":"2026-08-31T06:39:56.627Z","updatedAt":"2026-08-31T06:39:57.918Z"},{"id":"doi:10.21203/rs.3.rs-4647471/v1","name":"Sand budget failure underlies coastal erosion on the west coast of South Africa","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-4647471/v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.21203/rs.3.rs-4647471/v1","addedAt":"2026-08-31T06:39:56.627Z","updatedAt":"2026-08-31T06:39:57.918Z"},{"id":"doi:10.21203/rs.3.rs-4491294/v1","name":"Evapotranspiration Measurements in Pasture Classes, Crops, and Native Cerrado Based on Sensors Embodied on Uavs","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-4491294/v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.21203/rs.3.rs-4491294/v1","addedAt":"2026-08-31T06:39:56.627Z","updatedAt":"2026-08-31T06:39:57.918Z"},{"id":"doi:10.1101/2024.07.03.601985","name":"Quantifying Forest Biomass and Genetic Contribution using Light Detection and Ranging","source":"preprints","abstract":"","url":"https://doi.org/10.1101/2024.07.03.601985","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.1101/2024.07.03.601985","addedAt":"2026-08-31T06:39:56.627Z","updatedAt":"2026-08-31T06:39:57.918Z"},{"id":"doi:10.21203/rs.3.rs-4373447/v1","name":"Use of UAV-based photogrammetry products for high-locality fragmented rockfall volume estimation","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-4373447/v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.21203/rs.3.rs-4373447/v1","addedAt":"2026-08-31T06:39:56.627Z","updatedAt":"2026-08-31T06:39:57.918Z"},{"id":"doi:10.20944/preprints202405.0075.v1","name":"A Survey on Reputation Systems for UAV Networks","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202405.0075.v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.20944/preprints202405.0075.v1","addedAt":"2026-08-31T06:39:56.627Z","updatedAt":"2026-08-31T06:39:57.918Z"},{"id":"doi:10.21203/rs.3.rs-4657229/v1","name":"Local Electrostatic Screening Enabled Ultrafast Bipolar Homojunction Photodiode Towards High Dynamic Range In-Sensor Image Processing","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-4657229/v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.21203/rs.3.rs-4657229/v1","addedAt":"2026-08-31T06:39:56.627Z","updatedAt":"2026-08-31T06:39:57.918Z"},{"id":"doi:10.20944/preprints202407.1797.v1","name":"Development of a UAV-Based Multi-Sensor Deep Learning Model for Predicting Napa Cabbage Fresh Weight and Determining Optimal Harvest Time","source":"preprints","abstract":"Accurate and timely prediction of Napa cabbage (Brissica rapa subsp. Perkinensis) fresh weight is crucial for optimizing harvest timing, crop management, and supply chain logistics, contributing to food security and price stabilization. Traditional manual sampling methods are labor-intensive and imprecise. This study addresses this challenge by developing a comprehensive (artificial intelligence) AI-powered model for predicting Napa cabbage fresh weight using unmanned aerial vehicle (UAV)-based multi-sensor data. High-resolution RGB, multispectral, and thermal infrared (TIR) imagery were collected over a Napa cabbage field throughout the 2020 growing season. Various vegetation indices, crop features (vegetation fraction, crop height model), and water stress indi-cators (CWSI) were extracted from the imagery. Three AI algorithms deep neural network (DNN), support vector machine (SVM), and random forest (RF) were trained and evaluated, with the DNN model consistently outperforming the others. The DNN model achieved the highest accuracy (R&sup2; = 0.86 for training, 0.82 for testing; root mean square error (RMSE) = 0.432 kg for training, 0.465 kg for testing) during the mid-to-late rosette growth stage (DAP 35-42), highlighting this period as crucial for fresh weight estimation due to stable leaf area and well-developed canopy structure. The model tended to underestimate the weight of Napa cabbages exceeding 5 kg, potentially due to limited samples and saturation effects of vegetation indices. However, the overall error rate was less than 5%, demonstrating the feasibility and effectiveness of this approach. Spatial analysis revealed that the model accurately captured the variability in Napa cabbage growth across different soil types and irrigation conditions, particularly reflecting the positive impact of drip irrigation on the sandy loam plot. Bias analysis indicated the DNN model's tendency to overestimate smaller Napa cabbages (2 kg), suggesting areas for future refinement. This study demonstrates the potential of UAV-based multi-sensor data and AI algorithms for accurate and non-invasive prediction of Napa cabbage fresh weight. The developed DNN model offers a promising tool for optimizing harvest timing, improving crop management practices, and en-hancing supply chain efficiency. Future research should focus on refining the model for specific weight ranges and diverse environmental conditions, as well as extending its application to other crops, to further advance precision agriculture and contribute to sustainable food production.","url":"https://doi.org/10.20944/preprints202407.1797.v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.20944/preprints202407.1797.v1","addedAt":"2026-08-31T06:39:56.627Z","updatedAt":"2026-08-31T06:39:57.918Z"},{"id":"doi:10.21203/rs.3.rs-4618373/v1","name":"First detection of industrial hydrogen emissions using high-precision mobile measurements in ambient air","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-4618373/v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.21203/rs.3.rs-4618373/v1","addedAt":"2026-08-31T06:39:56.627Z","updatedAt":"2026-08-31T06:39:57.918Z"},{"id":"doi:10.21203/rs.3.rs-4261042/v1","name":"UAV identification based on improved YOLOv7 under foggy condition","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-4261042/v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.21203/rs.3.rs-4261042/v1","addedAt":"2026-08-31T06:39:56.627Z","updatedAt":"2026-08-31T06:39:57.918Z"},{"id":"doi:10.21203/rs.3.rs-3906783/v1","name":"Remote Sensing Identification and Hazard Assessment Methods for Spoil Sites","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-3906783/v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.21203/rs.3.rs-3906783/v1","addedAt":"2026-08-31T06:39:56.627Z","updatedAt":"2026-08-31T06:39:57.918Z"},{"id":"doi:10.21203/rs.3.rs-3957553/v1","name":"Proposal for a UAV-Integrated Manipulator-Based System for Capturing Animals with Anesthesia: Simulation and Experimental-Based Validation","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-3957553/v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.21203/rs.3.rs-3957553/v1","addedAt":"2026-08-31T06:39:56.627Z","updatedAt":"2026-08-31T06:39:57.918Z"},{"id":"doi:10.21203/rs.3.rs-4235454/v1","name":"A Novel Data Credibility-based Machine Learning Approach for UAV Capability Evaluation","source":"europepmc","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-4235454/v1","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.21203/rs.3.rs-4235454/v1","addedAt":"2026-08-31T06:39:56.627Z","updatedAt":"2026-08-31T06:40:09.764Z"},{"id":"doi:10.21203/rs.3.rs-4301366/v1","name":"Multi-scale feature fusion and lightweight decoupled Head in small object detection","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-4301366/v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.21203/rs.3.rs-4301366/v1","addedAt":"2026-08-31T06:39:56.627Z","updatedAt":"2026-08-31T06:39:57.918Z"},{"id":"doi:10.1101/2024.11.07.622452","name":"From aerial drone to QTL: Leveraging next-generation phenotyping to reveal the genetics of color and height in field-grown  <i>Lactuca sativa</i>","source":"preprints","abstract":"","url":"https://doi.org/10.1101/2024.11.07.622452","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.1101/2024.11.07.622452","addedAt":"2026-08-31T06:39:56.627Z","updatedAt":"2026-08-31T06:39:57.918Z"},{"id":"doi:10.21203/rs.3.rs-4160848/v1","name":"Vulnerability Assessment of Intelligent Weapon Systems Based on Combined Weighting Method and Cloud Model","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-4160848/v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.21203/rs.3.rs-4160848/v1","addedAt":"2026-08-31T06:39:56.627Z","updatedAt":"2026-08-31T06:40:00.189Z"},{"id":"doi:10.21203/rs.3.rs-4247539/v1","name":"An Ultra Lightweight Neural Network for Automatic Modulation Classification in Drone Communications","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-4247539/v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.21203/rs.3.rs-4247539/v1","addedAt":"2026-08-31T06:39:56.627Z","updatedAt":"2026-08-31T06:39:57.918Z"},{"id":"doi:10.22541/au.170994118.84081354/v1","name":"Adaptable Integrated Sensing and Communication for UAV-Empowered 6G Networks","source":"preprints","abstract":"","url":"https://doi.org/10.22541/au.170994118.84081354/v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.22541/au.170994118.84081354/v1","addedAt":"2026-08-31T06:39:56.627Z","updatedAt":"2026-08-31T06:39:57.918Z"},{"id":"doi:10.20944/preprints202403.1028.v1","name":"An Energy-Efficient Logistic Drone Routing Method considering Dynamic Drone Speed and Payload","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202403.1028.v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.20944/preprints202403.1028.v1","addedAt":"2026-08-31T06:39:56.627Z","updatedAt":"2026-08-31T06:39:57.918Z"},{"id":"doi:10.1101/2024.04.26.589844","name":"MIPDB: A maize image-phenotype database with multi-angle and multi-time characteristics","source":"preprints","abstract":"","url":"https://doi.org/10.1101/2024.04.26.589844","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.1101/2024.04.26.589844","addedAt":"2026-08-31T06:39:56.627Z","updatedAt":"2026-08-31T06:39:57.918Z"},{"id":"doi:10.20944/preprints202404.1076.v1","name":"Detection of Individual Crop and Canopy Delineation from UAV Imagery","source":"preprints","abstract":"Precise monitoring of individual crop growth and health status is crucial for precision agriculture practices. However, traditional manual inspection methods are time-consuming, labor-intensive, and often lack the spatial resolution required for detailed analysis. This research addresses the need for efficient and high-resolution crop monitoring by leveraging Unmanned Aerial Vehicle (UAV) imagery and advanced computational techniques. The primary objective was to develop a methodology for precise identification, extraction, and monitoring of individual corn crops throughout their growth cycle. This was achieved by integrating UAV-derived data with image processing, computational geometry, and machine learning techniques. UAV imagery was ac-quired bi-weekly at altitudes of 40m and 70m, capturing the entire growth cycle of a corn crop from planting to harvest. A time-series Canopy Height Model (CHM) was generated by analyzing the differences between the Digital Terrain Model (DTM) and the Digital Surface Model (DSM) derived from the UAV data. Local spatial analysis and image processing techniques were em-ployed to determine the local maximum height of each crop. Subsequently, a Voronoi data model was developed to delineate individual crop canopies, successfully identifying 13,000 out of 13,050 corn crops in the study area. For enhanced accuracy in canopy size delineation, vegetation indices were incorporated into the Voronoi model segmentation, refining the initial canopy area esti-mates by eliminating interference from soil and shadows. The proposed methodology enables precise estimation and monitoring of crop canopy size, height, biomass reduction, lodging, and stunted growth over time, providing valuable insights for precision agriculture practices. This work contributes to the scientific community by demonstrating the potential of integrating UAV technology, computational geometry, and machine learning for accurate and efficient crop mon-itoring at the individual plant level.","url":"https://doi.org/10.20944/preprints202404.1076.v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.20944/preprints202404.1076.v1","addedAt":"2026-08-31T06:39:56.627Z","updatedAt":"2026-08-31T06:39:57.918Z"},{"id":"doi:10.21203/rs.3.rs-4021067/v1","name":"SCECA U-Net Crop Classification for UAV Remote Sensing Image","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-4021067/v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.21203/rs.3.rs-4021067/v1","addedAt":"2026-08-31T06:39:56.627Z","updatedAt":"2026-08-31T06:39:57.918Z"},{"id":"doi:10.21203/rs.3.rs-4244827/v1","name":"DRIPNet: Decoupled Region of Interest Pooling Feature Network Based on Diffusion Model for UAV Small Object Detection","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-4244827/v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.21203/rs.3.rs-4244827/v1","addedAt":"2026-08-31T06:39:56.627Z","updatedAt":"2026-08-31T06:39:57.919Z"},{"id":"doi:10.20944/preprints202402.0786.v1","name":"AI-Based Tree Species Classification Using Pseudo Tree Crown Derived From UAV Imagery","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202402.0786.v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.20944/preprints202402.0786.v1","addedAt":"2026-08-31T06:39:56.627Z","updatedAt":"2026-08-31T06:39:57.919Z"},{"id":"doi:10.21203/rs.3.rs-4239373/v1","name":"Parallel Acceleration Algorithm for Wavelet Denoising of UAVAGS Data Based on CUDA","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-4239373/v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.21203/rs.3.rs-4239373/v1","addedAt":"2026-08-31T06:39:56.627Z","updatedAt":"2026-08-31T06:39:57.919Z"},{"id":"doi:10.20944/preprints202403.1201.v1","name":"Use of Drones with Multispectral and Thermal Cameras to Assess the Biometric Characteristics and Water Status of Different Hazelnut Cultivars","source":"preprints","abstract":"Comprehensive understanding of tree characteristics and conditions holds paramount importance for the precise management of hazelnut orchards. It facilitates the determination of tree vigor, pruning requirements, phytosanitary interventions, and plant water consumption. The primary objective of this study was to explore, for the first time on a fruit tree with a bushy structure and across trees of four Italian distinct hazelnut cultivars, the efficacy of multispectral and thermal UAV (Unmanned Aerial Vehicle) technologies in assessing canopy attributes, vegetative growth, and predicting abiotic stresses. These technologies serve as tools for precision agriculture, enabling the computation of various indices such as the Normalized Difference Vegetation Index (NDVI) and crop water stress index (CWSI). The study of water content is of particular importance at this time, especially considering the increasing water stress levels in Europe as well as globally. While Red Green Blue (RGB) and thermal imagery collectively demonstrated superior performance in model reconstruction, the multispectral UAV remained more adept at characterizing size traits of hazelnut plants. Thermal images alone proved inadequate for accurately reconstructing hazelnut biometric characteristics. Furthermore, all indices were found to be cultivar-specific, underscoring the importance of conducting studies across different cultivars. The utilization of two UAVs, namely multispectral and thermal, facilitated the examination of the relationship between NDVI and CWSI across tree species.","url":"https://doi.org/10.20944/preprints202403.1201.v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.20944/preprints202403.1201.v1","addedAt":"2026-08-31T06:39:56.627Z","updatedAt":"2026-08-31T06:39:57.919Z"},{"id":"doi:10.1101/2024.05.14.594109","name":"High-throughput Phenotyping of Soybean Biomass: Conventional Trait Estimation and Novel Latent Feature Extraction Using UAV Remote Sensing and Deep Learning Models","source":"preprints","abstract":"","url":"https://doi.org/10.1101/2024.05.14.594109","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.1101/2024.05.14.594109","addedAt":"2026-08-31T06:39:56.627Z","updatedAt":"2026-08-31T06:39:57.919Z"},{"id":"doi:10.20944/preprints202405.1002.v1","name":"Retrieval of the Crop Canopy Chlorophyll: Machine Learning vs. Radiative Transfer Model","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202405.1002.v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.20944/preprints202405.1002.v1","addedAt":"2026-08-31T06:39:56.627Z","updatedAt":"2026-08-31T06:39:57.919Z"},{"id":"doi:10.21203/rs.3.rs-4019957/v1","name":"Low-cost and precise traditional Chinese medicinal tree pest and disease monitoring using UAV RGB image only","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-4019957/v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.21203/rs.3.rs-4019957/v1","addedAt":"2026-08-31T06:39:56.627Z","updatedAt":"2026-08-31T06:39:57.919Z"},{"id":"doi:10.21203/rs.3.rs-3945676/v1","name":"SGEO: Equalization Optimizer with Hybrid Learning Strategies for UAV Path Planning in Complex 3D Environments","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-3945676/v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.21203/rs.3.rs-3945676/v1","addedAt":"2026-08-31T06:39:56.627Z","updatedAt":"2026-08-31T06:39:57.919Z"},{"id":"doi:10.21203/rs.3.rs-4202093/v1","name":"STAR-RIS-aided UAV NOMA Mobile Edge Computing Network with RF Energy Harvesting","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-4202093/v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.21203/rs.3.rs-4202093/v1","addedAt":"2026-08-31T06:39:56.627Z","updatedAt":"2026-08-31T06:39:57.919Z"},{"id":"doi:10.21203/rs.3.rs-3977932/v1","name":"SACNet: Switchable Atrous Convolution Network Based on Diffusion Model for Small Object Detection from UAV Images","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-3977932/v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.21203/rs.3.rs-3977932/v1","addedAt":"2026-08-31T06:39:56.627Z","updatedAt":"2026-08-31T06:39:57.919Z"},{"id":"doi:10.22541/au.171027386.64290736/v1","name":"Safety Inspections and Gas Monitoring in Hazardous Mining Areas Shortly After Blasting Using Autonomous UAVs","source":"preprints","abstract":"","url":"https://doi.org/10.22541/au.171027386.64290736/v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.22541/au.171027386.64290736/v1","addedAt":"2026-08-31T06:39:56.627Z","updatedAt":"2026-08-31T06:39:57.919Z"},{"id":"doi:10.21203/rs.3.rs-4128326/v1","name":"Deep Learning for Outage Probability Minimization in Secure NOMA Energy Harvesting UAV IoT Networks","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-4128326/v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.21203/rs.3.rs-4128326/v1","addedAt":"2026-08-31T06:39:56.627Z","updatedAt":"2026-08-31T06:39:57.919Z"},{"id":"doi:10.21203/rs.3.rs-4022303/v1","name":"Trajectory Optimization of UAV-IRS Assisted 6G THz Network Using Deep Reinforcement Learning Approach","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-4022303/v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.21203/rs.3.rs-4022303/v1","addedAt":"2026-08-31T06:39:56.627Z","updatedAt":"2026-08-31T06:39:57.919Z"},{"id":"doi:10.22541/au.171125886.68715872/v1","name":"Autonomous Intelligent Monitoring of Photovoltaic Systems: An In-depth Multidisciplinary Review","source":"preprints","abstract":"","url":"https://doi.org/10.22541/au.171125886.68715872/v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.22541/au.171125886.68715872/v1","addedAt":"2026-08-31T06:39:56.627Z","updatedAt":"2026-08-31T06:40:00.189Z"},{"id":"doi:10.20944/preprints202401.1636.v1","name":"Lateral-Directional Aerodynamic Optimization of a Tandem Wing UAV Using CFD Analyses","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202401.1636.v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.20944/preprints202401.1636.v1","addedAt":"2026-08-31T06:39:56.627Z","updatedAt":"2026-08-31T06:39:57.919Z"},{"id":"doi:10.21203/rs.3.rs-3802943/v1","name":"Joint Offloading Decision and Trajectory Optimization for Multi-UAV-Assisted Mobile Edge Computing System","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-3802943/v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.21203/rs.3.rs-3802943/v1","addedAt":"2026-08-31T06:39:56.627Z","updatedAt":"2026-08-31T06:39:57.919Z"},{"id":"doi:10.22541/au.170967811.15358944/v1","name":"UAV-based land surface temperatures and vegetation indices explain and predict spatial patterns of soil water isotopes in a tropical dry forest","source":"preprints","abstract":"","url":"https://doi.org/10.22541/au.170967811.15358944/v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.22541/au.170967811.15358944/v1","addedAt":"2026-08-31T06:39:56.627Z","updatedAt":"2026-08-31T06:39:57.919Z"},{"id":"doi:10.21203/rs.3.rs-6377081/v1","name":"Farmer Managed Natural Regeneration Promotes Expansion of Trees on Croplands in the Sahel","source":"preprints","abstract":"Abstract The expansion of trees on croplands in the Sahel has been promoted as a nature-based solution to climate challenges, particularly through Farmer Managed Natural Regeneration (FMNR). Yet large-scale assessments of cropland tree dynamics remain scarce. Here, we combine 25 years of Landsat imagery with a deep learning model trained on 9.9 billion trees to reconstruct annual tree cover at 15 m resolution across 2.4 million km² of Sahelian croplands. We find that 12% of all Sahelian trees occur on croplands and that 9.2 million hectares have gained tree cover since 1999. Gains are concentrated near villages and in regions with longstanding FMNR promotion, especially Maradi and Zinder. Areas with moderate to high FMNR intensity show greater increases than low-intensity areas. These findings provide large-scale evidence that farmer-led management has driven cropland greening, offering insights for sustainable land management, and establishing a framework for monitoring scattered trees in drylands.","url":"https://doi.org/10.21203/rs.3.rs-6377081/v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.21203/rs.3.rs-6377081/v1","addedAt":"2026-08-31T06:39:56.627Z","updatedAt":"2026-08-31T06:40:05.995Z"},{"id":"doi:10.20944/preprints202402.1707.v2","name":"High-Resolution Mapping of Shrub Biomass in Arid and Semi-Arid Environments by Integrating Remote Sensing Observations across Multiple Spatial Scales","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202402.1707.v2","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.20944/preprints202402.1707.v2","addedAt":"2026-08-31T06:39:56.627Z","updatedAt":"2026-08-31T06:39:57.919Z"},{"id":"doi:10.21203/rs.3.rs-4098403/v1","name":"Comparing and evaluating realistic wood structure models derived from multi-source remote sensing data: A focus on suitability reinforcement","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-4098403/v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.21203/rs.3.rs-4098403/v1","addedAt":"2026-08-31T06:39:56.627Z","updatedAt":"2026-08-31T06:39:57.919Z"},{"id":"doi:10.20944/preprints202401.1051.v1","name":"Rainfall-Mining Coupling Effects on Slope Failure Mechanism and Evolution Process: A Case Study of Open-Pit to Underground Mining","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202401.1051.v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.20944/preprints202401.1051.v1","addedAt":"2026-08-31T06:39:56.627Z","updatedAt":"2026-08-31T06:39:57.919Z"},{"id":"doi:10.20944/preprints202401.2109.v1","name":"Estimation of Small Stream Water Surface Elevation Using UAV Photogrammetry and Deep Learning","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202401.2109.v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.20944/preprints202401.2109.v1","addedAt":"2026-08-31T06:39:56.627Z","updatedAt":"2026-08-31T06:39:57.919Z"},{"id":"doi:10.20944/preprints202401.2041.v1","name":"Characterizing Water Composition with an Autonomous Robotic Team Employing Comprehensive In-Situ Sensing, Hyperspectral Imaging, Machine Learning, and Conformal Prediction","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202401.2041.v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.20944/preprints202401.2041.v1","addedAt":"2026-08-31T06:39:56.627Z","updatedAt":"2026-08-31T06:39:57.919Z"},{"id":"doi:10.1101/2025.03.18.642594","name":"The Global Wheat Full Semantic Organ Segmentation (GWFSS) Dataset","source":"preprints","abstract":"Computer vision is increasingly used in farmers’ fields and agricultural experiments to quantify important traits. Imaging setups with a sub-millimetre ground sampling distance enable the detection and tracking of plant features, including size, shape, and colour. Although today’s AI-driven foundation models segment almost any object in an image, they still fail for complex plant canopies. To improve model performance, the global wheat dataset consortium assembled a diverse set of images from experiments around the globe. After the head detection dataset (GWHD), the new dataset targets a full semantic segmentation (GWFSS) of wheat organs (leaves, stems and spikes) covering all developmental stages. Images were collected by 11 institutions using a wide range of imaging setups. Two datasets are provided: i) a set of 1096 diverse images in which all organs were labelled at the pixel level, and (ii) a dataset of 52,078 images without annotations available for additional training. The labelled set was used to train segmentation models based on DeepLabV3Plus and Segformer. Our Segformer model performed slightly better than DeepLabV3Plus with a mIOU for leaves and spikes of ca. 90%. However, the precision for stems with 54% was rather lower. The major advantages over published models are: i) the exclusion of weeds from the wheat canopy, ii) the detection of all wheat features including necrotic and senescent tissues and its separation from crop residues. This facilitates further development in classifying healthy vs. unhealthy tissue to address the increasing need for accurate quantification of senescence and diseases in wheat canopies.","url":"https://doi.org/10.1101/2025.03.18.642594","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.1101/2025.03.18.642594","addedAt":"2026-08-31T06:39:56.627Z","updatedAt":"2026-08-31T06:40:05.995Z"},{"id":"doi:10.2139/ssrn.4315028","name":"The Impact of the Russia-Ukraine War on Korean Defense Exports","source":"preprints","abstract":"","url":"https://doi.org/10.2139/ssrn.4315028","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2022","doi":"10.2139/ssrn.4315028","addedAt":"2026-08-31T06:39:56.627Z","updatedAt":"2026-08-31T06:40:05.995Z"},{"id":"doi:10.2139/ssrn.4149477","name":"The Internet of Things (IoT) in a Post-Pandemic World","source":"preprints","abstract":"Internet of Things (IoT) devices allow people to live smarter, safer and more productive lives, enabled in many cases by ‘smart systems’ in such key areas as health care, education, community ‘smart city’ living ― and provide advances in productivity to help reduce global food insecurity and adverse developments brought about by climate change. The daily life of billions of individuals worldwide has been forever changed by IoT technology in just the last few years. By 2023 the world remains mired in year four of dealing with a highly infectious pandemic; Russia is engaged in an invasion of Ukraine; food insecurity is rapidly increasing; the World Bank and others warn of likely future economic distress; adverse destructive weather events continue as the result of disruptive climate. Against this backdrop Internet usage and penetration continues to grow, as does the number of devices connected to the Internet. We proceed in thirteen sections. First, we set the stage for this discussion by focusing on humanity in crisis as Covid-19 continues to morph into additional variants. Second, we define the Internet of Things (IoT), comment on the explosive growth in sensory devices connected to the Internet, provide examples of IoT devices, and speak to the promise of the IoT. Third, we discuss the IoT post-COVID-19. Fourth, we examine existing and potential IoT security threats. Fifth, is a discussion about the important role IoT plays in agriculture and assisting with the problem of global food insecurity. Sixth, we look at how IoT applications assisted during the COVID-19 pandemic. Seventh, climate change and environmental monitoring is discussed. Eighth, we look at the many IoT healthcare applications. Regulation is our Ninth topic. Tenth, the role of IoT and smart cities is explored. Eleventh, is the significant role played by IoT applications and devices in supply chain dynamics. Twelfth, we examine the topic of IoT and water. Worker safety is discussed next. And last, we conclude. We believe this Article contributes to understanding: our connected Internet; the widespread exposure to malware associated with IoT; and adds to the nascent but emerging literature on governance of enterprise and climate risk; all subjects of vital global societal importance.","url":"https://doi.org/10.2139/ssrn.4149477","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2022","doi":"10.2139/ssrn.4149477","addedAt":"2026-08-31T06:39:56.627Z","updatedAt":"2026-08-31T06:40:05.995Z"},{"id":"doi:10.14711/thesis-b1450640","name":"Design and control of small unmanned aerial vehicle system with motor closed loop control","source":"crossref","abstract":"","url":"https://doi.org/10.14711/thesis-b1450640","authors":["Hoi Lam Chan"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2015-04-29T03:22:27Z","doi":"10.14711/thesis-b1450640","addedAt":"2026-08-31T06:39:57.048Z","updatedAt":"2026-08-31T06:40:02.531Z"},{"id":"doi:10.1109/ssrr.2013.6719376","name":"Active and mediated opportunistic cooperation between an unmanned aerial vehicle and an unmanned ground vehicle","source":"crossref","abstract":"","url":"https://doi.org/10.1109/ssrr.2013.6719376","authors":["Tanner Perkins","Robin R. Murphy"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2014-01-24T16:24:07Z","doi":"10.1109/ssrr.2013.6719376","addedAt":"2026-08-31T06:39:57.048Z","updatedAt":"2026-08-31T06:40:02.531Z"},{"id":"doi:10.1007/978-3-319-16417-5_5","name":"Estimation of Unmanned Aerial Vehicle Dynamics in the Presence of Sensor Faults","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-319-16417-5_5","authors":["Chingiz Hajiyev","Halil Ersin Soken","Sıtkı Yenal Vural"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2015-06-11T04:41:49Z","doi":"10.1007/978-3-319-16417-5_5","addedAt":"2026-08-31T06:39:57.048Z","updatedAt":"2026-08-31T06:40:02.531Z"},{"id":"doi:10.2737/rds-2018-0046","name":"Camp Swift Fire Experiment 2014: Active fire unmanned aerial vehicle (UAV) electro-optical aerial imagery and video","source":"crossref","abstract":"","url":"https://doi.org/10.2737/rds-2018-0046","authors":["Derek J. McNamara"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2018-09-19T15:40:39Z","doi":"10.2737/rds-2018-0046","addedAt":"2026-08-31T06:39:57.048Z","updatedAt":"2026-08-31T06:40:02.531Z"},{"id":"doi:10.1002/9781119769170.ch7","name":"Practices of Unmanned Aerial Vehicle (UAV) for Security Intelligence","source":"crossref","abstract":"","url":"https://doi.org/10.1002/9781119769170.ch7","authors":["Swarnjeet Kaur","Kulwant Singh","Amanpreet Singh"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2021-07-30T12:49:18Z","doi":"10.1002/9781119769170.ch7","addedAt":"2026-08-31T06:39:57.048Z","updatedAt":"2026-08-31T06:40:02.531Z"},{"id":"doi:10.2514/6.2023-4408","name":"Unmanned Aerial Vehicle Routing Problem for Integrated Manned and Unmanned Aircraft Operations","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2023-4408","authors":["Yoshinori Matsuno","Adriana Andreeva-Mori"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-06-08T11:36:49Z","doi":"10.2514/6.2023-4408","addedAt":"2026-08-31T06:39:57.048Z","updatedAt":"2026-08-31T06:40:02.531Z"},{"id":"doi:10.1109/icuas69441.2026.11598570","name":"Unmanned Aerial Vehicle Safe Autonomous Landing","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icuas69441.2026.11598570","authors":["Athanasios Tsoukalas","Halil Utku Unlu","Nikolaos Evangeliou","Anthony Tzes"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-07-14T19:39:09Z","doi":"10.1109/icuas69441.2026.11598570","addedAt":"2026-08-31T06:39:57.048Z","updatedAt":"2026-08-31T06:40:02.531Z"},{"id":"doi:10.14711/thesis-b1251102","name":"The development of a vision-orientated unmanned aerial vehicle platform based on the networked control system","source":"crossref","abstract":"","url":"https://doi.org/10.14711/thesis-b1251102","authors":["Weihong Ge"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2014-12-23T03:07:55Z","doi":"10.14711/thesis-b1251102","addedAt":"2026-08-31T06:39:57.048Z","updatedAt":"2026-08-31T06:40:02.531Z"},{"id":"doi:10.5772/intechopen.104476","name":"Unmanned Aerial Vehicle for Agriculture Surveillance","source":"crossref","abstract":"The design of a fixed-wing Vertical Take-Off and Landing (VTOL) Unmanned Aerial Vehicle (UAV) for agriculture pest monitoring is the subject of this thesis. It is primarily concerned with the sugarcane pest problem in the KZN region. After seeing the impact of sugarcane on this region and South Africa as a whole, this design was created. The wing, fuselage, empennage, and tilt-rotor mechanism of the UAV are all designed to meet the mission requirements. The aerodynamics, performance, and stability of the UAV are next examined. The highest sustained turning performance was determined using the SEP chart. The UAV has a cargo capacity of 2 kg, a range of 96.7 m, a stall speed of 13.7 m/s, and a flight time of 1.48 hours. Because the UAV is a fixed-wing VTOL system, it can reach more geographically demanding regions and maneuver in windy conditions. The design was followed by the development of an IR thermography camera with 12 Megapixels and a 45 HFOV for the detection of pests. Following that, the tilt rotor mechanism was meticulously designed.","url":"https://doi.org/10.5772/intechopen.104476","authors":["Alphanos Mahachi","Trymore Aloni","Lucious Mashevedze"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2022-12-24T08:01:57Z","doi":"10.5772/intechopen.104476","addedAt":"2026-08-31T06:39:57.048Z","updatedAt":"2026-08-31T06:40:02.531Z"},{"id":"doi:10.7546/crabs.2018.04.12","name":"Tandem Helicopter and Other Award Winning Unmanned Aerial Vehicle Inventions","source":"crossref","abstract":"","url":"https://doi.org/10.7546/crabs.2018.04.12","authors":["Wang Bo","Petar Getsov","Svetoslav Zabunov"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2018-05-01T16:18:16Z","doi":"10.7546/crabs.2018.04.12","addedAt":"2026-08-31T06:39:57.048Z","updatedAt":"2026-08-31T06:40:02.531Z"},{"id":"doi:10.18260/1-2-1153-51305","name":"Propeller Vibration in an Unmanned Aerial Vehicle Quadcopter","source":"crossref","abstract":"","url":"https://doi.org/10.18260/1-2-1153-51305","authors":["James Sewell","Monty Smith"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-02-18T14:41:50Z","doi":"10.18260/1-2-1153-51305","addedAt":"2026-08-31T06:39:57.048Z","updatedAt":"2026-08-31T06:40:02.531Z"},{"id":"doi:10.1007/978-3-319-16417-5_6","name":"Estimation of Unmanned Aerial Vehicle Dynamics in the Presence of Sensor/Actuator Faults","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-319-16417-5_6","authors":["Chingiz Hajiyev","Halil Ersin Soken","Sıtkı Yenal Vural"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2015-06-11T04:41:49Z","doi":"10.1007/978-3-319-16417-5_6","addedAt":"2026-08-31T06:39:57.048Z","updatedAt":"2026-08-31T06:40:02.531Z"},{"id":"doi:10.1007/978-981-96-9662-8_8","name":"Rayleigh and Ricean Scheme Analysis in Unmanned Aerial Vehicles","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-981-96-9662-8_8","authors":["Wasswa Shafik","Ali Tufail","Rosyzie Anna binti Hj Mohd Apong","Liyanage Chandratilak De Silva"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-05-18T14:14:33Z","doi":"10.1007/978-981-96-9662-8_8","addedAt":"2026-08-31T06:39:57.048Z","updatedAt":"2026-08-31T06:40:02.531Z"},{"id":"doi:10.1109/oceans.2012.6404893","name":"Autonomous landing of an Unmanned Aerial Vehicle on an autonomous marine vehicle","source":"crossref","abstract":"","url":"https://doi.org/10.1109/oceans.2012.6404893","authors":["T. K. Venugopalan","T. Taher","G. Barbastathis"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2013-01-17T15:29:22Z","doi":"10.1109/oceans.2012.6404893","addedAt":"2026-08-31T06:39:57.048Z","updatedAt":"2026-08-31T06:40:02.531Z"},{"id":"doi:10.5220/0009887802200227","name":"Failsafe Mechanism to Hazard Analysis and Risk Mitigation in Unmanned Aerial Vehicle based on NCES","source":"crossref","abstract":"","url":"https://doi.org/10.5220/0009887802200227","authors":["Mohamed Naija","Rihab Khemiri","Ernesto Exposito"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2020-07-15T15:38:06Z","doi":"10.5220/0009887802200227","addedAt":"2026-08-31T06:39:57.048Z","updatedAt":"2026-08-31T06:40:02.531Z"},{"id":"doi:10.19062/1842-9238.2018.16.1.5","name":"ROBUST LQG CONTROLLER DESIGN FOR THE SMALL UNMANNED AERIAL VEHICLE","source":"crossref","abstract":"","url":"https://doi.org/10.19062/1842-9238.2018.16.1.5","authors":["Róbert SZABOLCSI"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2018-08-03T04:44:21Z","doi":"10.19062/1842-9238.2018.16.1.5","addedAt":"2026-08-31T06:39:57.048Z","updatedAt":"2026-08-31T06:40:02.531Z"},{"id":"doi:10.1002/gj.4905/v1/review1","name":"Review for \"Semi‐automatic identification of discontinuity parameters in rock masses based on Unmanned Aerial Vehicle photography\"","source":"crossref","abstract":"","url":"https://doi.org/10.1002/gj.4905/v1/review1","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-01-29T09:29:56Z","doi":"10.1002/gj.4905/v1/review1","addedAt":"2026-08-31T06:39:57.048Z","updatedAt":"2026-08-31T06:40:02.531Z"},{"id":"doi:10.2139/ssrn.4445309","name":"Coast Guard Aviation Force Preparedness for the Utilization of Unmanned Aerial Vehicle","source":"crossref","abstract":"This study aimed to identify the experiences and perspectives of pilots and aircrew regarding UAV operations and develop policy recommendations to address the gaps in the CGAF's preparedness for utilizing UAVs in maritime operations. The study used a phenomenology research design to gain an in-depth understanding of the participants' experiences and perspectives regarding UAV operations. The data collected from interviews were subjected to interpretative phenomenological analysis (IPA) to identify themes and patterns in the responses. The study identified that the CGAF's preparedness for utilizing UAVs in maritime operations is affected by several factors such as personnel training and licensing, policy awareness, interoperability, and capability challenges.&lt;br&gt;&lt;br&gt;The study's policy recommendations aim to address these challenges by developing clear policies and procedures for UAV operations, creating training programs for operators and maintenance personnel, providing adequate support facilities, and promoting safety regulations and best practices in preventive maintenance. The study also recommends developing a UAV deployment plan that considers different maritime operations to increase productivity and enhance capabilities in conducting surveillance and search and rescue operations. The implementation of these policy recommendations can help improve the efficiency and effectiveness of maritime operations while minimizing risks to personnel and reducing costs. The study's findings contribute to the knowledge and understanding of the use of UAVs in the CGAF, specifically in developing an SOP for UAV maritime operations. The policy recommendations provided in this study can be useful for the CGAF in improving its readiness for utilizing UAVs and keeping pace with emerging technologies in the field of maritime law enforcement. The successful integration of UAVs into the CGAF's operations can enhance maritime security, reduce response times, and save lives in emergency situations.","url":"https://doi.org/10.2139/ssrn.4445309","authors":["John Stranger Lachaona Jr"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-05-24T14:26:50Z","doi":"10.2139/ssrn.4445309","addedAt":"2026-08-31T06:39:57.048Z","updatedAt":"2026-08-31T06:40:02.531Z"},{"id":"doi:10.5772/6493","name":"Performance Evaluation of an Unmanned Airborne Vehicle Multi-Agent System","source":"crossref","abstract":"This work was funded in part by NSF Grants # 0075462, 0122173, 0325168, AFRL Contract # F30602-99-2-0525, and by UMAC Grant # RG016/02-03S.","url":"https://doi.org/10.5772/6493","authors":["Zhaotong Lian","Abhijit Deshmukh"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2012-03-29T07:46:53Z","doi":"10.5772/6493","addedAt":"2026-08-31T06:39:57.048Z","updatedAt":"2026-08-31T06:40:02.531Z"},{"id":"doi:10.1002/gj.4905/v2/review1","name":"Review for \"Semi‐automatic identification of discontinuity parameters in rock masses based on Unmanned Aerial Vehicle photography\"","source":"crossref","abstract":"","url":"https://doi.org/10.1002/gj.4905/v2/review1","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-01-29T09:29:56Z","doi":"10.1002/gj.4905/v2/review1","addedAt":"2026-08-31T06:39:57.048Z","updatedAt":"2026-08-31T06:40:02.531Z"},{"id":"doi:10.1109/afrcon.2009.5308096","name":"Small fuel cell powering an unmanned aerial vehicle","source":"crossref","abstract":"","url":"https://doi.org/10.1109/afrcon.2009.5308096","authors":["Marco Klaus Furrutter","Johan Meyer"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2009-11-12T15:56:19Z","doi":"10.1109/afrcon.2009.5308096","addedAt":"2026-08-31T06:39:57.048Z","updatedAt":"2026-08-31T06:40:02.531Z"},{"id":"doi:10.5772/intechopen.1009605","name":"Using Reinforcement Learning for Unmanned Aerial Vehicle Conflict Resolution in a CTR Environment","source":"crossref","abstract":"Growing demand for Unmanned Aircraft System (UAS) operations in urban areas within Controlled Traffic Regions (CTRs) around airports poses a significant challenge to UAS traffic management. Current U-space regulations allow temporarily segregating sections of the CTR airspace to carry out these operations, and UAS must react to changes in the airspace structure of the CTR, which restrict flights into segregated areas by terminating the flight. This work faces the problem of UAS performing less restrictive operations of UAS inside a CTR. These operations are assumed to be defined by a flight plan that does not necessarily enclose them into a segregated area. This is the case, for example, of UAS flying between two heliports inside a CTR. Achieving such operational level in a CTR is based on the concept of Dynamic Airspace Reconfiguration (DAR), which allows the definition of temporary no-fly zones (NFZs) to preserve safety of manned aviation and lets ATC dynamically restructure them upon a safety event. The proposed solution enables UAS to react to airspace restructuring without necessarily terminating the flight and to self-manage Conflict Resolution (CR) to keep traffic separations without the intervention of ATC. This is achieved using a Multi-Agent Reinforcement Learning (MARL) system with decentralized decision-making that provides UAS guidance after a CTR restructuring and keeps separation with all types of traffic in the CTR while accomplishing the predefined mission. This offers several benefits, including dynamic rerouting for UAS, increased efficiency, and greater scalability with reduced reliance on a centralized traffic control unit.","url":"https://doi.org/10.5772/intechopen.1009605","authors":["Joaquin Vico Navarro","Juan A. Vila Carbó"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-03-21T10:47:00Z","doi":"10.5772/intechopen.1009605","addedAt":"2026-08-31T06:39:57.048Z","updatedAt":"2026-08-31T06:40:00.495Z"},{"id":"doi:10.1002/eng2.12852/v1/review2","name":"Review for \"Autopilot control unmanned aerial vehicle system for sewage defect detection using deep learning\"","source":"crossref","abstract":"","url":"https://doi.org/10.1002/eng2.12852/v1/review2","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-01-31T16:14:09Z","doi":"10.1002/eng2.12852/v1/review2","addedAt":"2026-08-31T06:39:57.048Z","updatedAt":"2026-08-31T06:40:02.531Z"},{"id":"doi:10.1007/978-3-030-44184-5_100039","name":"Unmanned Aerial Vehicle (UAV)","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-030-44184-5_100039","authors":["Eric N. Johnson"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2021-08-03T21:03:35Z","doi":"10.1007/978-3-030-44184-5_100039","addedAt":"2026-08-31T06:39:57.048Z","updatedAt":"2026-08-31T06:40:02.531Z"},{"id":"doi:10.1007/978-981-19-2027-1_3","name":"Unmanned Aerial Vehicle (UAV) Applications in Cotton Production","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-981-19-2027-1_3","authors":["Aijing Feng","Chin Nee Vong","Jianfeng Zhou"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2022-05-17T05:02:43Z","doi":"10.1007/978-981-19-2027-1_3","addedAt":"2026-08-31T06:39:57.048Z","updatedAt":"2026-08-31T06:40:02.531Z"},{"id":"doi:10.1007/978-94-007-3033-5_41","name":"Pressurized Structures–Based Unmanned Aerial Vehicle Research","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-94-007-3033-5_41","authors":["Harris L. Edge","Ainsmar Brown","Jason Collins"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2012-03-26T03:27:53Z","doi":"10.1007/978-94-007-3033-5_41","addedAt":"2026-08-31T06:39:57.048Z","updatedAt":"2026-08-31T06:40:02.531Z"},{"id":"doi:10.1007/978-1-4471-5102-9_100039-1","name":"Unmanned Aerial Vehicle (UAV)","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-1-4471-5102-9_100039-1","authors":["Eric N. Johnson"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2020-08-31T07:51:03Z","doi":"10.1007/978-1-4471-5102-9_100039-1","addedAt":"2026-08-31T06:39:57.048Z","updatedAt":"2026-08-31T06:40:02.531Z"},{"id":"doi:10.5772/intechopen.86057","name":"Vision-Based Autonomous Control Schemes for Quadrotor Unmanned Aerial Vehicle","source":"crossref","abstract":"","url":"https://doi.org/10.5772/intechopen.86057","authors":["Archit Krishna Kamath","Vibhu Kumar Tripathi","Laxmidhar Behera"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2019-06-10T07:56:21Z","doi":"10.5772/intechopen.86057","addedAt":"2026-08-31T06:39:57.048Z","updatedAt":"2026-08-31T06:40:02.531Z"},{"id":"doi:10.12681/eadd/60001","name":"Intelligent structural health monitoring of port waterfront infrastructure with unmanned aerial vehicle-driven non-destructive inspections","source":"crossref","abstract":"Οι λιμένες αποτελούν κρίσιμους κόμβους με δυναμικό αντίκτυπο στο εμπόριο, τη θαλάσσια συνδεσιμότητα και τις μεταφορές, την εφοδιαστική αλυσίδα και τη γαλάζια οικονομία. Παρά τη ραγδαία τάση αξιοποίησης ευφυών τεχνολογιών σε διάφορους τομείς των λιμένων, η εφαρμογή τους σε θέματα που άπτονται τη δομική ακεραιότητα παραμένει περιορισμένη. Η αξιολόγηση της δομικής κατάστασης βασίζεται κατά κύριο λόγο σε παραδοσιακές τεχνικές επιθεώρησης, οι οποίες στερούνται δυνατοτήτων αυτοματοποίησης και δεδομένων σε πραγματικό χρόνο. Δεδομένου ότι οι λιμένες αποτελούν σύνθετα τεχνικά συστήματα με διάφορες αλληλένδετες υποδομές, η διασφάλιση της δομικής τους ακεραιότητας μέσω ευφυών προσεγγίσεων είναι ζωτικής σημασίας για τη βιώσιμη λειτουργία και τη μακροχρόνια αποδοτικότητά τους. Τα λιμενικά έργα ανωδομής, όπως οι αποβάθρες και τα κρηπιδώματα, καθώς επίσης και τα έργα θωράκισης, είναι τρωτά απέναντι στις επιπτώσεις της κλιματικής αλλαγής, σε φυσικές καταστροφές, στο θαλάσσιο διαβρωτικό περιβάλλον και σε ανθρωπογενείς παράγοντες. Η αντιμετώπιση αυτών των προκλήσεων μπορεί να επιτευχθεί μέσω της ψηφιακής αναπαράστασης των λιμενικών υποδομών μέσω πρακτικών Παρακολούθησης της Δομικής Κατάστασης (Structural Health Monitoring, SHM). Οι πρόσφατες τάσεις στο SHM στρέφονται προς την αξιοποίηση τεχνικών επιθεώρησης μη καταστροφικού ελέγχου (Non-Destructive Testing, NDT). Ο εκσυγχρονισμός των παραδοσιακών πρακτικών SHM με έξυπνες επιθεωρήσεις και αυτοματοποιημένη αξιολόγηση της υφιστάμενης κατάστασης μπορεί να βελτιστοποιήσει το κόστος συντήρησης, να τροφοδοτήσει στρατηγικές αντιμετώπισης κινδύνων και να συμβάλλει στην ενίσχυση της ανθεκτικότητας. Η Ευφυής Παρακολούθηση της Δομικής Κατάστασης (Intelligent Structural Health Monitoring, iSHM) αντιπροσωπεύει την εξέλιξη των παραδοσιακών πρακτικών παρακολούθησης, μέσω ενσωμάτωσης αισθητήρων, προηγμένων εργαλείων και τεχνολογιών αυτοματοποίησης, με στόχο τη μετάβαση στην προληπτική διαχείριση υποδομών. Αντικείμενο της παρούσας διδακτορικής διατριβής αποτελεί η διαμόρφωση ενός δομημένου, εύχρηστου και λειτουργικού οδηγού για την Ευφυή Παρακολούθηση της Δομικής Κατάστασης των λιμενικών έργων ανωδομής μέσω της ενσωμάτωσης μη καταστροφικών ελέγχων (NDT) με Μη Επανδρωμένα Αεροσκάφη (Unmanned Aerial Vehicles, UAVs), υπολογιστική όραση, προγραμματιστικές ροές και Γεωγραφικά Πληροφοριακά Συστήματα (Geographic Information Systems, GIS).Αρχικά, διαμορφώθηκε ένα πλαίσιο των δυνατοτήτων και των περιορισμών χρήσης UAVs συγκριτικά με συμβατικές μεθόδους SHM, δημιουργώντας μια βάση για την τεκμηριωμένη αξιοποίησή τους σε επιθεωρήσεις λιμενικών υποδομών. Στη συνέχεια, διερευνήθηκε η πρακτική αποτελεσματικότητά τους ως προς τη δυνατότητα επιτυχούς ταυτόχρονης παρακολούθησης τόσο οδοστρωμάτων από σκυρόδεμα σε αποβάθρες όσο και έργων προστασίας με φυσικούς ογκόλιθους θωράκισης, καλύπτοντας ένα σημαντικό κενό των υφιστάμενων πρακτικών SHM. Για το σκοπό αυτό πραγματοποιήθηκαν επαναλαμβανόμενες επιθεωρήσεις στον λιμένα του Λαυρίου, στην ανατολική Αττική. Μέσω της φωτογραμμετρίας παρήχθησαν γεωχωρικά μεταδεδομένα, τα οποία αναλύθηκαν με GIS εργαλεία. Τα αποτελέσματα επιβεβαίωσαν ότι αυτή η προσέγγιση μειώνει τις πλεονάζουσες επιτόπιες εργασίες και οδηγεί σε τεκμηριωμένη απεικόνιση της δομικής κατάστασης των λιμενικών υποδομών με χρήση πραγματικών δεδομένων.Την προκαταρτική καταγραφή της υφιστάμενης δομικής κατάστασης ακολούθησε η λεπτομερής αξιολόγηση με ενσωμάτωση τεχνικών υπολογιστικής όρασης, αυτοματοποιημένων ροών και γεωχωρικής ανάλυσης. Για τα οδοστρώματα από σκυρόδεμα, εφαρμόστηκε συνδυαστική μεθοδολογία ανίχνευσης ρωγμών, λαμβάνοντας υπόψη λειτουργικές προκλήσεις, όπως οι επιφανειακές αλλοιώσεις, η σκίαση και η μεταβλητότητα περιβάλλοντος, η οποία επιτρέπει τον γεωχωρικό εντοπισμό ρωγμών με ακρίβεια και αξιοπιστία. Επιπλέον, για τα έργα θωράκισης διαμορφώθηκε μία αυτοματοποιημένη μεθοδολογία εκτίμησης υψομετρικών χρονικών μεταβολών μέσω επεξεργασίας των φωτογραμμετρικών μεταδεδομένων σε GIS περιβάλλον, επιτρέποντας την ποσ","url":"https://doi.org/10.12681/eadd/60001","authors":["Χριστίνα Τσάιμου"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-10-19T09:21:57Z","doi":"10.12681/eadd/60001","addedAt":"2026-08-31T06:39:57.048Z","updatedAt":"2026-08-31T06:40:02.531Z"},{"id":"doi:10.4043/26576-ms","name":"Sustainability Through the Use of Unmanned Aerial Vehicle for Aerial Plant Inspection","source":"crossref","abstract":"Abstract ROBOTS in Oil &amp; Gas production! No, this is not science-fiction it is a reality. Robots have served in various industries for many years, but now the science of robots, or should we say \"Robotics\", is developing at such a rapid pace that robots have become far more diverse, infinitely smarter and are being used in ways that we would not have dreamt possible a few years ago, especially in the E&amp;P and Petrochemical industries. In keeping with modern trends, PTTEP engineers have developed a multi-purpose Unmanned Aerial Vehicle (UAV), complete with \"Plug and Play\" imagery options, to perform a wide range of aerial monitoring and inspection applications. We call it a \"Multipurpose Plant Inspection Octocopter\" (MPIO). The MPIO project focuses on areas that are considered high-risk for human intervention and subsequently financially high-cost too. The MPIO has been designed and tested to perform various kinds of plant inspection; from offshore riser platform storage tank roofs to cooling tower observations, to name a few. But, in order to put the MPIO to the ultimate challenge and prove its viability, our engineers have been utilizing it to perform live flare-stack inspections, where radiated heat and turbulent air-conditions prevail. To date, there have been many successful demonstrations providing quality high resolution pictures and proving the techniques applied. However, knowledge gained and ongoing development-effort will ultimately lead to the next step, a \"Fully Automated MPIO\" that will include; Auto Take-off, Auto Flight Control, Auto Landing, etc.","url":"https://doi.org/10.4043/26576-ms","authors":["L. Kridsada","La. Chatchai","C. Manop","S. Thana"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2016-03-21T14:19:17Z","doi":"10.4043/26576-ms","addedAt":"2026-08-31T06:39:57.048Z","updatedAt":"2026-08-31T06:40:02.531Z"},{"id":"doi:10.1007/978-3-319-16417-5_7","name":"Fault Detection, Isolation, and Data Fusion for Unmanned Aerial Vehicle Air Data Systems","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-319-16417-5_7","authors":["Chingiz Hajiyev","Halil Ersin Soken","Sıtkı Yenal Vural"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2015-06-11T04:41:49Z","doi":"10.1007/978-3-319-16417-5_7","addedAt":"2026-08-31T06:39:57.048Z","updatedAt":"2026-08-31T06:40:02.531Z"},{"id":"doi:10.1109/apuavd.2017.8308781","name":"Unmanned aerial vehicle position determination in GNSS landing system","source":"crossref","abstract":"","url":"https://doi.org/10.1109/apuavd.2017.8308781","authors":["O. V. Kutsenko","S. I. Ilnytska","V. M. Kondratyuk","V. V. Konin"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2018-03-08T16:32:37Z","doi":"10.1109/apuavd.2017.8308781","addedAt":"2026-08-31T06:39:57.048Z","updatedAt":"2026-08-31T06:40:02.531Z"},{"id":"doi:10.1139/juvs-2016-0021","name":"A Low-Cost Technique for Radio-Tracking Wildlife Using a Small Standard Unmanned Aerial Vehicle","source":"crossref","abstract":"","url":"https://doi.org/10.1139/juvs-2016-0021","authors":["Junior A. Tremblay","André Desrochers","Yves Aubry","Paul Pace","David M. Bird"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2017-03-31T21:56:24Z","doi":"10.1139/juvs-2016-0021","addedAt":"2026-08-31T06:39:57.048Z","updatedAt":"2026-08-31T06:40:02.531Z"},{"id":"doi:10.1002/gj.4905/v2/review2","name":"Review for \"Semi‐automatic identification of discontinuity parameters in rock masses based on Unmanned Aerial Vehicle photography\"","source":"crossref","abstract":"","url":"https://doi.org/10.1002/gj.4905/v2/review2","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-01-29T09:29:56Z","doi":"10.1002/gj.4905/v2/review2","addedAt":"2026-08-31T06:39:57.048Z","updatedAt":"2026-08-31T06:40:02.531Z"},{"id":"doi:10.1109/autest.2014.6935138","name":"Automatic test system for large unmanned aerial vehicle","source":"crossref","abstract":"","url":"https://doi.org/10.1109/autest.2014.6935138","authors":["Li Baoan","Deng Dawei"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2014-11-01T03:11:54Z","doi":"10.1109/autest.2014.6935138","addedAt":"2026-08-31T06:39:57.048Z","updatedAt":"2026-08-31T06:40:02.531Z"},{"id":"doi:10.70675/2ba2b782zc397z4280zb1f0z92e419dac197","name":"Multimode navigation for degraded fixed wing unmanned aerial vehicle operation under sensor and actuator faults","source":"crossref","abstract":"Navigation multimode d’un drone avec fonctionnalités dégradées dues à des défaillances de capteurs ou actionneurs Les défaillances d'actionneurs ou de capteurs survenant sur un drone peuvent compromettre l'intégrité de la mission. La mise en œuvre de méthodes de diagnostic de fautes est alors nécessaire. Dans cette thèse, l'accent est mis sur l'estimation de fautes dues à des défaillances simultanées de capteurs et/ou d'actionneurs pour un drone à voilure fixe. Pour faire face à certains scénarios complexes de fautes, tels que les fautes simultanées qui induisent une ambiguïté sur les mesures qui se manifeste par la multimodalité de la densité conditionnelle, un filtre particulaire régularisé de type jump-Markov (JMRPF) et des variantes de celui-ci sont présentées dans cette thèse.Cette méthode est basée sur un filtre particulaire régularisé (RPF) qui approche la densité conditionnelle par une mixture de noyaux et sur un système de Markov à sauts. La stratégie de saut utilise un petit nombre de particules - appelées ici particules sentinelles - qui permet de tester en continu l'hypothèse alternative en mode nominal et en mode défaillant.Les résultats numériques sont obtenus en utilisant un modèle dynamique linéaire puis non linéaire de la dynamique longitudinale d’un drone à voilure fixe. Les performances du JMRPF sont comparées aux performances des filtres de Kalman à modèles multiples interactifs (IMM-KF) et du RPF. Les performances du JMRPF montrent une nette amélioration de terme de précision de l’estimation des fautes capteurs et actionneurs et des paramètres cinématiques et en termes de robustesse et de vitesse de convergence par rapport aux autres filtres. L'amélioration des performances par rapport aux autres filtres est plus marquée lorsque l'amplitude des fautes augmente au cours du temps.Une version améliorée du JMPRF, appelée filtre particulaire régularisé robuste à sauts est également présentée et permet d'estimer rapidement et précisément les fautes sans connaissance a priori de la dynamique des fautes. Enfin, une nouvelle approche pour calculer une matrice de probabilité de transition adaptative est présentée en calculant les probabilités de fausse alarme et de non-détection à l'aide de l’approximation du point-selle.Les algorithmes de navigation proposés permettent à un drone d'atteindre son objectif de suivi de trajectoire de manière autonome, avec une sécurité et une précision accrues.","url":"https://doi.org/10.70675/2ba2b782zc397z4280zb1f0z92e419dac197","authors":["Enzo Iglésis"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-04-07T00:57:09Z","doi":"10.70675/2ba2b782zc397z4280zb1f0z92e419dac197","addedAt":"2026-08-31T06:39:57.049Z","updatedAt":"2026-08-31T06:40:02.531Z"},{"id":"doi:10.1139/juvs-2015-0030","name":"Thermal infrared imaging of geothermal environments by UAV (unmanned aerial vehicle)","source":"crossref","abstract":"","url":"https://doi.org/10.1139/juvs-2015-0030","authors":["Abdul Nishar","Steve Richards","Dan Breen","John Robertson","Barbara Breen"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2016-01-13T22:33:36Z","doi":"10.1139/juvs-2015-0030","addedAt":"2026-08-31T06:39:57.049Z","updatedAt":"2026-08-31T06:40:02.531Z"},{"id":"doi:10.1139/juvs-2015-0008","name":"Should unmanned aerial systems (drones) be used for hunting?","source":"crossref","abstract":"","url":"https://doi.org/10.1139/juvs-2015-0008","authors":["Edward Hanna"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2015-07-24T13:58:57Z","doi":"10.1139/juvs-2015-0008","addedAt":"2026-08-31T06:39:57.049Z","updatedAt":"2026-08-31T06:40:02.531Z"},{"id":"doi:10.1002/gj.4905/v1/review2","name":"Review for \"Semi‐automatic identification of discontinuity parameters in rock masses based on Unmanned Aerial Vehicle photography\"","source":"crossref","abstract":"","url":"https://doi.org/10.1002/gj.4905/v1/review2","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-01-29T09:29:56Z","doi":"10.1002/gj.4905/v1/review2","addedAt":"2026-08-31T06:39:57.049Z","updatedAt":"2026-08-31T06:40:02.531Z"},{"id":"doi:10.1007/978-3-030-27157-2_11","name":"The Role of Infrared Thermal Imaging in Road Patrolling Using Unmanned Aerial Vehicles","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-030-27157-2_11","authors":["Neha Sharma","A. S. Arora","Ajay Pal Singh","Jaspreet Singh"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2019-11-18T06:02:02Z","doi":"10.1007/978-3-030-27157-2_11","addedAt":"2026-08-31T06:39:57.049Z","updatedAt":"2026-08-31T06:40:02.531Z"},{"id":"doi:10.22215/etd/2013-07191","name":"3D imaging applications in Earth Sciences using video data acquired from an unmanned aerial vehicle","source":"crossref","abstract":"","url":"https://doi.org/10.22215/etd/2013-07191","authors":["Tara McLeod"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2018-10-04T20:15:19Z","doi":"10.22215/etd/2013-07191","addedAt":"2026-08-31T06:39:57.049Z","updatedAt":"2026-08-31T06:40:02.531Z"},{"id":"doi:10.4172/2168-9695.1000126","name":"Modelling of a Small Unmanned Aerial Vehicle","source":"crossref","abstract":"","url":"https://doi.org/10.4172/2168-9695.1000126","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2015-06-10T02:40:25Z","doi":"10.4172/2168-9695.1000126","addedAt":"2026-08-31T06:39:57.049Z","updatedAt":"2026-08-31T06:40:02.531Z"},{"id":"doi:10.2172/978362","name":"Improving Rangeland Monitoring and Assessment: Integrating Remote Sensing, GIS, and Unmanned Aerial Vehicle Systems","source":"crossref","abstract":"","url":"https://doi.org/10.2172/978362","authors":["Robert Paul Breckenridge"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2010-05-05T22:52:21Z","doi":"10.2172/978362","addedAt":"2026-08-31T06:39:57.049Z","updatedAt":"2026-08-31T06:40:02.531Z"},{"id":"doi:10.1109/icuas.2018.8453346","name":"A Collision-Free Path Planning Algorithm for Unmanned Aerial Vehicle Delivery","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icuas.2018.8453346","authors":["Ziji Shi","Wee Keong Ng"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2018-09-07T20:31:16Z","doi":"10.1109/icuas.2018.8453346","addedAt":"2026-08-31T06:39:57.049Z","updatedAt":"2026-08-31T06:40:02.531Z"},{"id":"doi:10.1002/9781119769170.ch13","name":"Mind‐Controlled Unmanned Aerial Vehicle (UAV) Using Brain–Computer Interface (BCI)","source":"crossref","abstract":"","url":"https://doi.org/10.1002/9781119769170.ch13","authors":["M.S. Prasath","R. Naveen","G. Sivaraj"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2021-07-30T12:49:18Z","doi":"10.1002/9781119769170.ch13","addedAt":"2026-08-31T06:39:57.049Z","updatedAt":"2026-08-31T06:40:02.531Z"},{"id":"doi:10.3390/rs12060940","name":"Editorial for the Special Issue “Estimation of Crop Phenotyping Traits using Unmanned Ground Vehicle and Unmanned Aerial Vehicle Imagery”","source":"crossref","abstract":"High-throughput crop phenotyping is harnessing the potential of genomic resources for the genetic improvement of crop production under changing climate conditions. As global food security is not yet assured, crop phenotyping has received increased attention during the past decade. This spectral issue (SI) collects 30 papers reporting research on estimation of crop phenotyping traits using unmanned ground vehicle (UGV) and unmanned aerial vehicle (UAV) imagery. Such platforms were previously not widely available. The special issue includes papers presenting recent advances in the field, with 22 UAV-based papers and 12 UGV-based articles. The special issue covers 16 RGB sensor papers, 11 papers on multi-spectral imagery, and further 4 papers on hyperspectral and 3D data acquisition systems. A total of 13 plants’ phenotyping traits, including morphological, structural, and biochemical traits are covered. Twenty different data processing and machine learning methods are presented. In this way, the special issue provides a good overview regarding potential applications of the platforms and sensors, to timely provide crop phenotyping traits in a cost-efficient and objective manner. With the fast development of sensors technology and image processing algorithms, we expect that the estimation of crop phenotyping traits supporting crop breeding scientists will gain even more attention in the future.","url":"https://doi.org/10.3390/rs12060940","authors":["Xiuliang Jin","Zhenhai Li","Clement Atzberger"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2020-03-18T08:13:27Z","doi":"10.3390/rs12060940","addedAt":"2026-08-31T06:39:57.049Z","updatedAt":"2026-08-31T06:40:02.531Z"},{"id":"doi:10.2139/ssrn.4027231","name":"Flying Anchor: Unmanned Aerial Vehicle Assisted Node Localization in Industrial Internet of Things","source":"crossref","abstract":"The development of industrial Internet of Things requires faster localization services. The introduction of unmanned aerial vehicle (UAV) into them can achieve faster, lowercost, and higher-accuracy localization. However, most traditional localization schemes only use anchor nodes on the groundto achieve the localization of unknown nodes. On one hand, these schemes do not have enough anchor nodes to provide sufficiently accurate node localization conditions, which affects node localization accuracy; on the other hand, these solutions cause a large amount of energy consumption of unknown nodes due to frequent information exchange among nodes, which affects the subsequent operation of unknown nodes. To address these issues, a novel UAV assisted Node Localization scheme (UAVNL) for industrial Internet of Things is proposed, in which the UAV is used as a movable anchor node to provide sufficiently accurate information for unknown nodes by optimizing the UAV path and updating the RSSI reference value in real-time. Then, the maximum likelihood estimation method (MLE) is adopted to calculate the coordinate of unknown nodes. Simulation resultsindicate that the proposed scheme can significantly improve the localization performance and reduce the energy consumption of unknown nodes.","url":"https://doi.org/10.2139/ssrn.4027231","authors":["Maowu Zhou","Hongbin Chen"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2022-02-05T22:07:00Z","doi":"10.2139/ssrn.4027231","addedAt":"2026-08-31T06:39:57.049Z","updatedAt":"2026-08-31T06:40:02.531Z"},{"id":"doi:10.1109/icuas54217.2022.9836074","name":"Fire Monitoring with a Fixed-wing Unmanned Aerial Vehicle","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icuas54217.2022.9836074","authors":["Fares El Tin","Inna Sharf","Meyer Nahon"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2022-07-26T19:39:18Z","doi":"10.1109/icuas54217.2022.9836074","addedAt":"2026-08-31T06:39:57.049Z","updatedAt":"2026-08-31T06:40:02.531Z"},{"id":"doi:10.1515/9783111619323-202","name":"VPreface","source":"crossref","abstract":"","url":"https://doi.org/10.1515/9783111619323-202","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-08-04T11:29:17Z","doi":"10.1515/9783111619323-202","addedAt":"2026-08-31T06:39:57.049Z","updatedAt":"2026-08-31T06:40:00.495Z"},{"id":"doi:10.1109/apuavd53804.2021.9615410","name":"Synthesis and Analysis of Controllers for Longitudinal Motion Parameters of Unmanned Aerial Vehicle under the Wind Action","source":"crossref","abstract":"","url":"https://doi.org/10.1109/apuavd53804.2021.9615410","authors":["Vitalii Burnashev","Aleksandr Zbrutsky"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2021-11-26T20:15:08Z","doi":"10.1109/apuavd53804.2021.9615410","addedAt":"2026-08-31T06:39:57.049Z","updatedAt":"2026-08-31T06:40:05.992Z"},{"id":"doi:10.1002/eng2.12852/v1/review1","name":"Review for \"Autopilot control unmanned aerial vehicle system for sewage defect detection using deep learning\"","source":"crossref","abstract":"","url":"https://doi.org/10.1002/eng2.12852/v1/review1","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-01-31T16:14:09Z","doi":"10.1002/eng2.12852/v1/review1","addedAt":"2026-08-31T06:39:57.049Z","updatedAt":"2026-08-31T06:40:00.495Z"},{"id":"doi:10.1109/iros.2006.282304","name":"Cooperative Damage Inspection with Unmanned Surface Vehicle and Micro Unmanned Aerial Vehicle at Hurricane Wilma","source":"crossref","abstract":"","url":"https://doi.org/10.1109/iros.2006.282304","authors":["Robin Murphy","Sam Stover","Kevin Pratt","Chandler Griffin"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2007-01-19T15:43:41Z","doi":"10.1109/iros.2006.282304","addedAt":"2026-08-31T06:39:57.049Z","updatedAt":"2026-08-31T06:40:05.992Z"},{"id":"doi:10.2139/ssrn.6500564","name":"Evaluation of Airspace Capacity for Unmanned Aerial Vehicle Airports Based on Collision Models","source":"crossref","abstract":"In recent years, the rapid development of the low-altitude economy has significantly increased the operational density of unmanned aerial vehicle (UAV) airports, which act as critical infrastructure for large-scale UAV operations. The increased operational density has resulted in more frequent mid-air collisions, making collision risk prevention a core issue in airspace capacity improvement. To tackle this issue, an airspace capacity assessment method for UAV airports based on collision risk models is proposed in this paper, aiming to balance collision risk control and operational capacity optimization. First, according to kinetic theory, collision risk models for single-type and dual-type UAVs are established. Then, a comprehensive capacity assessment framework is constructed by incorporating three key constraints: collision risk, air traffic management resources, and operational efficiency. Finally, simulation validations are implemented to verify both the precision of the developed collision probability model and the feasibility of the capacity assessment framework. Quantitative analysis reveals that the error margin of the established collision risk model is kept below 10\\%. Case studies indicate that adding one fixed-wing UAV to a rotary-wing UAV airport can increase collision probability by approximately 30 times, which proves the necessity of segregated operations for heterogeneous UAVs. Validated in three typical scenarios, the proposed method presents strong adaptability to diverse constraints and UAV types, and can provide reliable capacity estimation and parameter optimization schemes for UAV airport operations.","url":"https://doi.org/10.2139/ssrn.6500564","authors":["Li Jiaxuan","Peng Tang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-03-31T07:47:22Z","doi":"10.2139/ssrn.6500564","addedAt":"2026-08-31T06:39:57.049Z","updatedAt":"2026-08-31T06:40:02.531Z"},{"id":"doi:10.1515/9783111619323-fm","name":"Frontmatter","source":"crossref","abstract":"","url":"https://doi.org/10.1515/9783111619323-fm","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-08-04T11:29:17Z","doi":"10.1515/9783111619323-fm","addedAt":"2026-08-31T06:39:57.049Z","updatedAt":"2026-08-31T06:40:00.495Z"},{"id":"doi:10.1007/978-3-030-27157-2_1","name":"Introduction","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-030-27157-2_1","authors":["Ram Avtar","Teiji Watanabe"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2019-11-18T11:02:02Z","doi":"10.1007/978-3-030-27157-2_1","addedAt":"2026-08-31T06:39:57.049Z","updatedAt":"2026-08-31T06:40:05.992Z"},{"id":"doi:10.5194/egusphere-egu21-14844","name":"Rock glacier deformation using an Unmanned Aerial Vehicle (UAV) with RTK GNSS capability","source":"crossref","abstract":"&amp;lt;p&amp;gt;In high alpine geomorphological research, different technologies are increasingly used to describe and monitor mass movements such as rock glaciers. Among them, the combination of Unmanned Aerial Vehicle (UAV) systems and Structure from Motion (SfM) techniques is gaining continuous interest due to rapid technological developments. In this study, we test the capability of repeated UAV surveys to accurately survey rock glacier deformation in the Lac des Vaux area, Valais Alps. The studied landform is located on a typical anthropic alpine environment in the Swiss Alps, where ski facilities and alpine tracks are a commonplace. A DJI Phantom 4 RTK UAV was flown twice in September 2019 and September 2020 to cover an area of about 0.25 km&amp;lt;sup&amp;gt;2&amp;lt;/sup&amp;gt; with nearly 1000 images each time. Differential corrections using a Virtual Reference Station (VRS) provided image geotags with centimetre-level accurate 3-D coordinates, thereby allowing dispensing with ground control. High-resolution orthomosaics and high-density point clouds are derived from the UAV-RTK surveys using a standard SfM processing workflow. The corresponding point clouds' accuracy was evaluated and adjusted based on stable terrain, reducing the 3-D alignment errors to a mean of 0.02 m. Elevation changes and surface kinematics in the rock glacier complex and its margins were quantified using point cloud operations and image correlation techniques. The results indicate that the landform has at least eight different lobes with mean velocities ranging between 0.1 and 1.3 m yr&amp;lt;sup&amp;gt;-1&amp;lt;/sup&amp;gt;. The high-resolution analysis also permitted identifying moving lobes without morphological expression and small thermokarst depressions on the ski slope structure that traverses the rock glacier's active zone. Without relying on ground control, our approach achieves horizontal and vertical accuracies nearly as good as monitoring techniques using more traditional differential GNSS devices.&amp;lt;/p&amp;gt;","url":"https://doi.org/10.5194/egusphere-egu21-14844","authors":["Sebastián Vivero","Christophe Lambiel"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2021-03-04T12:43:00Z","doi":"10.5194/egusphere-egu21-14844","addedAt":"2026-08-31T06:39:57.049Z","updatedAt":"2026-08-31T06:40:05.992Z"},{"id":"doi:10.1515/9783111619323-021","name":"Index","source":"crossref","abstract":"","url":"https://doi.org/10.1515/9783111619323-021","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-08-04T11:29:17Z","doi":"10.1515/9783111619323-021","addedAt":"2026-08-31T06:39:57.049Z","updatedAt":"2026-08-31T06:40:00.495Z"},{"id":"doi:10.3390/books978-3-03936-709-2","name":"Unmanned Aerial Vehicles","source":"crossref","abstract":"","url":"https://doi.org/10.3390/books978-3-03936-709-2","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2020-08-24T15:32:06Z","doi":"10.3390/books978-3-03936-709-2","addedAt":"2026-08-31T06:39:57.049Z","updatedAt":"2026-08-31T06:40:05.992Z"},{"id":"doi:10.1007/978-3-319-52090-2_300397","name":"Unmanned Aerial Vehicle (UAV)","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-319-52090-2_300397","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2020-07-28T13:06:56Z","doi":"10.1007/978-3-319-52090-2_300397","addedAt":"2026-08-31T06:39:57.049Z","updatedAt":"2026-08-31T06:40:05.992Z"},{"id":"doi:10.1515/9783111619323-toc","name":"Contents","source":"crossref","abstract":"","url":"https://doi.org/10.1515/9783111619323-toc","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-08-04T11:29:17Z","doi":"10.1515/9783111619323-toc","addedAt":"2026-08-31T06:39:57.049Z","updatedAt":"2026-08-31T06:40:00.495Z"},{"id":"doi:10.5121/csit.2017.71601","name":"An Unmanned Aerial Vehicle Based Forest Patrol System","source":"crossref","abstract":"","url":"https://doi.org/10.5121/csit.2017.71601","authors":["Songsheng LI"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2018-01-09T00:37:00Z","doi":"10.5121/csit.2017.71601","addedAt":"2026-08-31T06:39:57.049Z","updatedAt":"2026-08-31T06:40:05.992Z"},{"id":"doi:10.13031/aim.20152152494","name":"Development of High-Throughput Field Phenotyping System Using Imagery from Unmanned Aerial Vehicle","source":"crossref","abstract":"","url":"https://doi.org/10.13031/aim.20152152494","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2015-12-14T11:45:12Z","doi":"10.13031/aim.20152152494","addedAt":"2026-08-31T06:39:57.049Z","updatedAt":"2026-08-31T06:40:05.992Z"},{"id":"doi:10.5204/thesis.eprints.114062","name":"Development of an Unmanned Aerial Vehicle (UAV) System for In-Situ Characterization of Combustion Source Emissions","source":"crossref","abstract":"","url":"https://doi.org/10.5204/thesis.eprints.114062","authors":["Tommaso Francesco Villa"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2017-11-23T23:35:30Z","doi":"10.5204/thesis.eprints.114062","addedAt":"2026-08-31T06:39:57.049Z","updatedAt":"2026-08-31T06:40:05.992Z"},{"id":"doi:10.1002/eng2.12852/v2/review1","name":"Review for \"Autopilot control unmanned aerial vehicle system for sewage defect detection using deep learning\"","source":"crossref","abstract":"","url":"https://doi.org/10.1002/eng2.12852/v2/review1","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-01-31T16:14:09Z","doi":"10.1002/eng2.12852/v2/review1","addedAt":"2026-08-31T06:39:57.049Z","updatedAt":"2026-08-31T06:40:05.992Z"},{"id":"doi:10.5194/bg-2017-170-rc1","name":"Exploring the contributions of vegetation and dune size to early dune building using unmanned aerial vehicle (UAV)-imaging","source":"crossref","abstract":"","url":"https://doi.org/10.5194/bg-2017-170-rc1","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2017-06-13T15:02:24Z","doi":"10.5194/bg-2017-170-rc1","addedAt":"2026-08-31T06:39:57.049Z","updatedAt":"2026-08-31T06:40:05.992Z"},{"id":"doi:10.18127/j00338486-202501-11","name":"Planar spiral two-arm antenna for unmanned aerial vehicle","source":"crossref","abstract":"Problem Statement. Due to the fact that currently unmanned aerial vehicles of the aircraft type perform a wide range of tasks such as radio reconnaissance, data relay, cargo transportation over long distances, for which it is necessary to provide communication with the board, from which it is expected to receive high quality of transmitted information, as well as the required data transfer rate. On the drone with such a dynamic distribution of the frequency resource, it is advisable to place broadband antenna systems that allow you to work on several frequencies, switch between them and solve several problems simultaneously. For example, transmit collected data and navigate in space. In addition, broadband antennas with circular polarization are often used as elements of antenna arrays of direction-finding systems, as well as for radio communication with a satellite and navigation. One of the varieties of such antennas is a two-arm spiral Archimedes antenna, which can be made on a printed circuit board and placed inside the drone. Due to the design, the antenna is small-sized. However, its practical implementation faces the following difficulties: to perform matching in a wide frequency band using a matching-transforming device, to ensure compliance with the phase difference of 180° between the feed points of the spiral; to eliminate the spread of the radiation pattern into several lobes; to ensure a low cross-polarization component. Goal Development and experimental testing of the Archimedes spiral antenna, which should provide a wide operating frequency band from 1.2 to 6 GHz, while forming a single-beam radiation pattern and having a low cross-polarization component. To simulate the emitter in the wing of a drone. Results. A radiator in the form of a two-arm Archimedes spiral antenna has been developed, providing operation and forming a single-beam radiation pattern in the frequency range of 1.2…6 GHz, while the cross-polarization component within the main beam was no more than minus 10 dB. Based on numerical simulation using the finite difference time domain method in CST Microwave Studio, an antenna design was created and measurements of the antenna mock-up were carried out in an anechoic chamber. The measurement results confirm the design results. Numerical simulation of the antenna characteristics was carried out taking into account the influence of the drone wing, and an alternative conformal design of the radiator was proposed. Practical significance. An antenna was manufactured, the measured characteristics of which correspond to the results of numerical simulation. Given the priority of developing antenna systems for unmanned aerial vehicles, the created antenna is suitable in terms of weight and size characteristics and meets all the requirements for the radiator of the future digital antenna array of the drone.","url":"https://doi.org/10.18127/j00338486-202501-11","authors":["D.G. Korol"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-08-14T08:26:37Z","doi":"10.18127/j00338486-202501-11","addedAt":"2026-08-31T06:39:57.049Z","updatedAt":"2026-08-31T06:40:00.495Z"},{"id":"doi:10.1016/b978-0-12-407781-2.15002-0","name":"The Coyote Unmanned Aerial Vehicle System (CUAVS)","source":"crossref","abstract":"","url":"https://doi.org/10.1016/b978-0-12-407781-2.15002-0","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2014-02-16T20:21:00Z","doi":"10.1016/b978-0-12-407781-2.15002-0","addedAt":"2026-08-31T06:39:57.049Z","updatedAt":"2026-08-31T06:40:05.993Z"},{"id":"doi:10.1109/oceanslimerick52467.2023.10244635","name":"Measuring refractivity profiles using shipborne unmanned aerial vehicle","source":"crossref","abstract":"","url":"https://doi.org/10.1109/oceanslimerick52467.2023.10244635","authors":["Petter Østenstad","Marthe Marie Meltzer"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-09-12T13:27:17Z","doi":"10.1109/oceanslimerick52467.2023.10244635","addedAt":"2026-08-31T06:39:57.049Z","updatedAt":"2026-08-31T06:40:05.993Z"},{"id":"doi:10.1109/uvs.2019.8658283","name":"Automatic Fault Detection of Power Lines using Unmanned Aerial Vehicle (UAV)","source":"crossref","abstract":"","url":"https://doi.org/10.1109/uvs.2019.8658283","authors":["Mehdi Korki","Nikhil Dwarakanath Shankar","Raj Naymeshbhai Shah","Syed Muhammad Waseem","Steven Hodges"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2019-03-07T19:01:15Z","doi":"10.1109/uvs.2019.8658283","addedAt":"2026-08-31T06:39:57.049Z","updatedAt":"2026-08-31T06:40:05.993Z"},{"id":"doi:10.1139/juvs-2017-0023","name":"A low-altitude unmanned aerial vehicle (UAV) created using 3D-printed bioplastic","source":"crossref","abstract":"In this work, a four-person student team was given the challenge of designing, analysing, constructing, and testing a low-altitude unmanned aerial vehicle (UAV) prototype, which could meet or exceed a set of predefined performance requirements including range, altitude, time of flight, and load-carrying capability. In addition, the team was tasked with having their final design be composed of at least 70% sustainable material by volume. The final prototype took the form of a quadcopter with an airframe 3D printed from a plant-based bioplastic. This prototype was able to meet or exceed three of the four project performance targets, with time of flight being the lone failure. Besides serving as a proof-of-concept prototype of a functioning bioplastic-based UAV, this project is also a demonstration of 3D printing as an enabling technology that can allow even small design teams to realize complex geometries, enjoy enhanced design flexibility, and achieve high levels of UAV functionality with relatively limited resources. Finally, a discussion of important material parameters of 3D printed UAVs is presented.","url":"https://doi.org/10.1139/juvs-2017-0023","authors":["Justin Coe","Colin Dunbar","Keunta Epps","Joseph Hagensee","Arden L. Moore"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2019-01-18T21:37:44Z","doi":"10.1139/juvs-2017-0023","addedAt":"2026-08-31T06:39:57.049Z","updatedAt":"2026-08-31T06:40:05.993Z"},{"id":"doi:10.1002/eng2.12852/v1/decision1","name":"Decision letter for \"Autopilot control unmanned aerial vehicle system for sewage defect detection using deep learning\"","source":"crossref","abstract":"","url":"https://doi.org/10.1002/eng2.12852/v1/decision1","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-01-31T16:14:09Z","doi":"10.1002/eng2.12852/v1/decision1","addedAt":"2026-08-31T06:39:57.049Z","updatedAt":"2026-08-31T06:40:05.993Z"},{"id":"doi:10.2514/6.2004-6579","name":"Multiple Unmanned Aerial Vehicle (UAV) Experimentation: Forward Look","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2004-6579","authors":["Frank Roberts","T. Ferrazano"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2012-12-18T23:47:35Z","doi":"10.2514/6.2004-6579","addedAt":"2026-08-31T06:39:57.049Z","updatedAt":"2026-08-31T06:40:05.993Z"},{"id":"doi:10.1515/9783111619323-203","name":"VIIForeword","source":"crossref","abstract":"","url":"https://doi.org/10.1515/9783111619323-203","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-08-04T11:29:17Z","doi":"10.1515/9783111619323-203","addedAt":"2026-08-31T06:39:57.049Z","updatedAt":"2026-08-31T06:40:00.495Z"},{"id":"doi:10.1109/apuavd.2017.8308818","name":"Probability density estimation for object recognition in unmanned aerial vehicle application","source":"crossref","abstract":"","url":"https://doi.org/10.1109/apuavd.2017.8308818","authors":["V. P. Kharchenko","A. G. Kukush","N. S. Kuzmenko","I. V. Ostroumov"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2018-03-08T21:32:37Z","doi":"10.1109/apuavd.2017.8308818","addedAt":"2026-08-31T06:39:57.049Z","updatedAt":"2026-08-31T06:40:05.993Z"},{"id":"doi:10.1109/ut.2017.7890324","name":"A jellyfish distribution management system using an unmanned aerial vehicle and unmanned surface vehicles","source":"crossref","abstract":"","url":"https://doi.org/10.1109/ut.2017.7890324","authors":["Jungmo Koo","Sungwook Jung","Hyun Myung"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2017-04-04T08:50:30Z","doi":"10.1109/ut.2017.7890324","addedAt":"2026-08-31T06:39:57.049Z","updatedAt":"2026-08-31T06:40:05.993Z"},{"id":"doi:10.1109/apuavd47061.2019.8943857","name":"Kernel Density Estimation for Foreground Detection in Dynamic Video Processing for Unmanned Aerial Vehicle Application","source":"crossref","abstract":"","url":"https://doi.org/10.1109/apuavd47061.2019.8943857","authors":["Volodymyr Kharchenko","Nataliia Kuzmenko","Alexander Kukush","Ivan Ostroumov"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2020-01-02T20:11:58Z","doi":"10.1109/apuavd47061.2019.8943857","addedAt":"2026-08-31T06:39:57.049Z","updatedAt":"2026-08-31T06:40:05.993Z"},{"id":"doi:10.1007/978-94-007-3033-5_7","name":"MM-UAV: Mobile Manipulating Unmanned Aerial Vehicle","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-94-007-3033-5_7","authors":["Christopher M. Korpela","Todd W. Danko","Paul Y. Oh"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2012-03-26T07:27:53Z","doi":"10.1007/978-94-007-3033-5_7","addedAt":"2026-08-31T06:39:57.049Z","updatedAt":"2026-08-31T06:40:05.993Z"},{"id":"doi:10.2139/ssrn.5441836","name":"Path planning for a novel Cooperative system: Unmanned Ground Effect Vehicle (UGEV) and Folding-Wing Unmanned Aerial Vehicle (FUAV) for Maritime Detection Mission","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.5441836","authors":["Jianing Deng","Mingying Huo","Zheng Li","Naiming Qi","Ze Yu","Yongcheng Wu"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-09-04T20:36:46Z","doi":"10.2139/ssrn.5441836","addedAt":"2026-08-31T06:39:57.049Z","updatedAt":"2026-08-31T06:40:00.495Z"},{"id":"doi:10.1007/978-94-007-3033-5_23","name":"Image Based and Hybrid Visual Servo Control of an Unmanned Aerial Vehicle","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-94-007-3033-5_23","authors":["Zehra Ceren","Erdinç Altuğ"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2012-03-26T07:27:53Z","doi":"10.1007/978-94-007-3033-5_23","addedAt":"2026-08-31T06:39:57.049Z","updatedAt":"2026-08-31T06:40:05.993Z"},{"id":"doi:10.1109/icuas48674.2020.9213902","name":"Fuzzy Model Predictive Control of a Quadrotor Unmanned Aerial Vehicle","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icuas48674.2020.9213902","authors":["Mohamed Hossny","Ayman El-Badawy","Ragi Hassan"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2020-10-06T19:58:28Z","doi":"10.1109/icuas48674.2020.9213902","addedAt":"2026-08-31T06:39:57.049Z","updatedAt":"2026-08-31T06:40:05.993Z"},{"id":"doi:10.1109/icuas51884.2021.9476857","name":"Nonlinear Adaptive Control of Unmanned Aerial Vehicle Using Echo State Neural Networks","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icuas51884.2021.9476857","authors":["Christopher D.R. Duggan","Subodh Bhandari"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2021-08-10T20:47:30Z","doi":"10.1109/icuas51884.2021.9476857","addedAt":"2026-08-31T06:39:57.049Z","updatedAt":"2026-08-31T06:40:05.993Z"},{"id":"doi:10.1109/icus55513.2022.9986994","name":"Health Assessment of Unmanned Aerial Vehicle Formation Systems under False Data Injection Attack","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icus55513.2022.9986994","authors":["Shuo Pan","Zhiyu Xi"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2022-12-29T18:46:01Z","doi":"10.1109/icus55513.2022.9986994","addedAt":"2026-08-31T06:39:57.049Z","updatedAt":"2026-08-31T06:40:05.993Z"},{"id":"doi:10.15864/ajec.24003","name":"Study on attitude heading reference system for an Unmanned Aerial Vehicle in an aerial surveillance scenario","source":"crossref","abstract":"","url":"https://doi.org/10.15864/ajec.24003","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2022-03-31T10:00:56Z","doi":"10.15864/ajec.24003","addedAt":"2026-08-31T06:39:57.049Z","updatedAt":"2026-08-31T06:40:05.993Z"},{"id":"doi:10.1109/ic2ecs57645.2022.10087963","name":"Fault-tolerant Docking Control for Autonomous Aerial Refueling of Unmanned Aerial Vehicle","source":"crossref","abstract":"","url":"https://doi.org/10.1109/ic2ecs57645.2022.10087963","authors":["Jie Chen"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-04-06T13:25:40Z","doi":"10.1109/ic2ecs57645.2022.10087963","addedAt":"2026-08-31T06:39:57.049Z","updatedAt":"2026-08-31T06:40:05.993Z"},{"id":"doi:10.1109/icuas.2017.7991337","name":"Neural network based nonlinear model reference adaptive controller for an unmanned aerial vehicle","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icuas.2017.7991337","authors":["Deleena Noble","Subodh Bhandari"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2017-08-09T16:07:44Z","doi":"10.1109/icuas.2017.7991337","addedAt":"2026-08-31T06:39:57.049Z","updatedAt":"2026-08-31T06:40:05.993Z"},{"id":"doi:10.23940/ijpe.19.02.p33.688699","name":"Vehicle Detection on Unmanned Aerial Vehicle Images based on Saliency Region Detection","source":"crossref","abstract":"","url":"https://doi.org/10.23940/ijpe.19.02.p33.688699","authors":["Wenhui Li","Feng Qu","Peixun Liu"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2019-05-07T17:21:11Z","doi":"10.23940/ijpe.19.02.p33.688699","addedAt":"2026-08-31T06:39:57.049Z","updatedAt":"2026-08-31T06:40:05.993Z"},{"id":"doi:10.1109/icccyb.2013.6617611","name":"Unmanned aerial vehicle guidance methods for 3D aerial image reconstruction","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icccyb.2013.6617611","authors":["Daniel Stojesics","Laszlo Somlyai","Andras Molnar"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2013-10-10T23:35:41Z","doi":"10.1109/icccyb.2013.6617611","addedAt":"2026-08-31T06:39:57.049Z","updatedAt":"2026-08-31T06:40:05.993Z"},{"id":"doi:10.1139/juvs-2015-0033","name":"What can unmanned aerial systems offer healthcare?","source":"crossref","abstract":"","url":"https://doi.org/10.1139/juvs-2015-0033","authors":["Cornelius A. Thiels","Johnathon M. Aho"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2016-01-18T17:24:59Z","doi":"10.1139/juvs-2015-0033","addedAt":"2026-08-31T06:39:57.049Z","updatedAt":"2026-08-31T06:40:05.993Z"},{"id":"doi:10.1007/978-3-030-97113-7_2","name":"Implementation of Machine Learning Techniques in Unmanned Aerial Vehicle Control and Its Various Applications","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-030-97113-7_2","authors":["E. Fantin Irudaya Raj"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2022-03-29T19:18:53Z","doi":"10.1007/978-3-030-97113-7_2","addedAt":"2026-08-31T06:39:57.049Z","updatedAt":"2026-08-31T06:40:05.993Z"},{"id":"doi:10.2139/ssrn.6790225","name":"Diffusion-Driven Synthetic Data Generation for Unmanned Aerial Vehicle (UAV) Imagery: Harnessing Visual Knowledge Priors for Generalized Aerial Semantic Segmentation","source":"crossref","abstract":"High-quality semantic segmentation is essential for Unmanned Aerial Vehicle (UAV) applications, enabling precise data interpretation and efficient decision-making across diverse domains. However, the development of robust segmentation models is often constrained by the limited availability of large-scale, well-annotated datasets, which are expensive and labor-intensive to produce. In this work, we introduce D²S²-UI, a novel synthetic UAV dataset designed for generalized aerial semantic segmentation. Rather than relying on traditional rendering, our methodology harnesses the vast visual and semantic knowledge priors embedded within large-scale text-to-image diffusion models. By actively guiding these knowledge priors through structured textual conditioning and class-consistent semantic control, our framework synthesizes large volumes of accurately labeled aerial imagery without requiring manual annotation. This knowledge-driven approach allows us to scale dataset creation while ensuring high label fidelity and scene diversity. Specifically, D²S²-UI features multi-altitude (20m, 60m, 120m) and multi-viewpoint (nadir, high-oblique, low-oblique) coverage, alongside systematically injected variations in environmental conditions (e.g., weather, time of day) and region-specific terrains (e.g., Asian, Arabic, American, Egyptian, European). Experimental results demonstrate that models trained on D²S²-UI achieve substantially better segmentation accuracy compared to those trained on existing synthetic UAV datasets, showcasing strong, effective generalization across multiple real-world UAV benchmarks. The dataset is publicly available at https://github.com/fahad-lateef/UAV-semantic-segmentation-dataset to support further research in aerial scene understanding and UAV-based vision systems.","url":"https://doi.org/10.2139/ssrn.6790225","authors":["Fahad Lateef","KAS Mohamed","RUICHEK Yassine"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-05-18T20:54:51Z","doi":"10.2139/ssrn.6790225","addedAt":"2026-08-31T06:39:57.049Z","updatedAt":"2026-08-31T06:40:05.993Z"},{"id":"doi:10.2139/ssrn.4331271","name":"Unmanned Aerial Vehicle Implementation for Pavement Condition Survey","source":"crossref","abstract":"This research takes photos of pavement conditions using drones to produce 2D and 3D models as visual media for assessing pavement conditions using PCI and SDI methods. The results of the assessment on the model compared with the assessment in the field. In comparison, the dimension level of accuracy of pavement distress in the model against the results of manual measurements in the field, edge cracking has the lowest accuracy value of 75.72%, and joint reflective crack has the highest accuracy value of 97.86%. The linear regression equation for the PCI method in the model against manual PCI in the field is y = 0.931x + 3.6003 with a coefficient of determination r2 = 0.86 and an MSE of 121.333. While the linear regression equation for the SDI method in the model against manual SDI in the field is y = 0.5831x + 28.867 with a coefficient of determination that is r2 = 0.653 and MSE = 2115. Based on the comparison above, in this study, the application of UAV for pavement condition assessment is more precisely using the PCI method.","url":"https://doi.org/10.2139/ssrn.4331271","authors":["Yackob Astor","Yasuyuki Nabeshima","Retno Utami","Atmy Verani Rouly Sihombing"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-01-31T12:26:20Z","doi":"10.2139/ssrn.4331271","addedAt":"2026-08-31T06:39:57.049Z","updatedAt":"2026-08-31T06:40:05.993Z"},{"id":"doi:10.1139/juvs-2014-0001","name":"Entropic skill assessment of unmanned aerial systems (UAS) operators","source":"crossref","abstract":"Large-scale distributed training exercises involve many trainees at various stages of their training maturity and at various levels of skill. Problems arise in large-scale exercises when less mature or lower-skilled trainees are exposed to training scenarios that are too advanced or too complex for their level of training maturity. These trainees are more likely to fail the mission they are given in the training scenario, thus reducing the benefits of training, leading to frustration in the trainee or even disrupting the training exercise. We present a methodology for automated skill assessment using entropy measures that form the core of a battery of automated assessment algorithms. As illustrated in a case study, in which subjects performed a reconnaissance task in a simulated unmanned aerial system environment, this methodology achieves high accuracy levels of skill assessment and has the added benefit of computational simplicity, allowing for real-time skill assessment of trainees.","url":"https://doi.org/10.1139/juvs-2014-0001","authors":["T. Schnell","J. Engler"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2014-05-18T21:35:20Z","doi":"10.1139/juvs-2014-0001","addedAt":"2026-08-31T06:39:57.049Z","updatedAt":"2026-08-31T06:40:05.993Z"},{"id":"doi:10.5220/0014268500004928","name":"Improvement of Unmanned Aerial Vehicle Object Detection Through Scale Optimization and YOLOv7-Tiny Anchor Adjustment","source":"crossref","abstract":"","url":"https://doi.org/10.5220/0014268500004928","authors":["Febrianto Eko Saputra","Ingrid Nurtanio"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-12-17T12:03:37Z","doi":"10.5220/0014268500004928","addedAt":"2026-08-31T06:39:57.049Z","updatedAt":"2026-08-31T06:40:02.905Z"},{"id":"doi:10.2737/rds-2018-0049","name":"Camp Swift Fire Experiment 2014: Pre-fire unmanned aerial vehicle (UAV) imagery","source":"crossref","abstract":"","url":"https://doi.org/10.2737/rds-2018-0049","authors":["Derek J. McNamara"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2018-09-19T15:40:39Z","doi":"10.2737/rds-2018-0049","addedAt":"2026-08-31T06:39:57.049Z","updatedAt":"2026-08-31T06:40:05.993Z"},{"id":"doi:10.5220/0006868804510458","name":"Monte Carlo based Risk Analysis of Unmanned Aerial Vehicle Flights over Construction Job Sites","source":"crossref","abstract":"","url":"https://doi.org/10.5220/0006868804510458","authors":["Hashem Izadi Moud","Alireza Shojaei","Ian Flood","Xun Zhang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2018-08-07T09:40:45Z","doi":"10.5220/0006868804510458","addedAt":"2026-08-31T06:39:57.049Z","updatedAt":"2026-08-31T06:40:05.993Z"},{"id":"doi:10.1109/apuavd47061.2019.8943911","name":"Effect of Leading Edge Volumic Shape Vortex Generators on Static Hysteresis of Unmanned Aerial Vehicle Wing","source":"crossref","abstract":"","url":"https://doi.org/10.1109/apuavd47061.2019.8943911","authors":["Eugene Udartsev","Olexander Zhdanov","Volodymyr Rozbytskyi","Artemii Sattarov"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2020-01-03T01:11:58Z","doi":"10.1109/apuavd47061.2019.8943911","addedAt":"2026-08-31T06:39:57.049Z","updatedAt":"2026-08-31T06:40:05.993Z"},{"id":"doi:10.4271/2020-01-0472.1","name":"Withdrawal Notice: Design Optimization and Aerodynamic Analysis of a Hybrid Blended Wing Body-VTOL Unmanned Aerial Vehicle","source":"crossref","abstract":"","url":"https://doi.org/10.4271/2020-01-0472.1","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2020-08-03T17:39:04Z","doi":"10.4271/2020-01-0472.1","addedAt":"2026-08-31T06:39:57.049Z","updatedAt":"2026-08-31T06:40:05.993Z"},{"id":"doi:10.1063/1.4904684","name":"Synthesis of the unmanned aerial vehicle remote control augmentation system","source":"crossref","abstract":"","url":"https://doi.org/10.1063/1.4904684","authors":["Andrzej Tomczyk"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2014-12-11T01:30:46Z","doi":"10.1063/1.4904684","addedAt":"2026-08-31T06:39:57.049Z","updatedAt":"2026-08-31T06:40:05.993Z"},{"id":"doi:10.2514/6.2010-3506","name":"Unmanned Aerial Vehicle Systems for Disaster Relief: Tornado Alley","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2010-3506","authors":["Wesley DeBusk"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2012-12-18T23:01:22Z","doi":"10.2514/6.2010-3506","addedAt":"2026-08-31T06:39:57.049Z","updatedAt":"2026-08-31T06:40:05.993Z"},{"id":"doi:10.1109/icnsc.2005.1461287","name":"Proving correctness of unmanned aerial vehicle cooperative software","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icnsc.2005.1461287","authors":["R.E. Sward"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2005-07-06T18:49:21Z","doi":"10.1109/icnsc.2005.1461287","addedAt":"2026-08-31T06:39:57.049Z","updatedAt":"2026-08-31T06:40:05.993Z"},{"id":"doi:10.58564/ijser.1.2.2023.71","name":"Fire Detection Using Unmanned Aerial Vehicle","source":"crossref","abstract":"","url":"https://doi.org/10.58564/ijser.1.2.2023.71","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-03-29T19:06:41Z","doi":"10.58564/ijser.1.2.2023.71","addedAt":"2026-08-31T06:39:57.049Z","updatedAt":"2026-08-31T06:40:05.993Z"},{"id":"doi:10.1109/compcomm.2017.8323042","name":"Unmanned aerial vehicle (UAV)-assisted unmanned ground vehicle (UGV) systems design, implementation and optimization","source":"crossref","abstract":"","url":"https://doi.org/10.1109/compcomm.2017.8323042","authors":["Yingxin Wei","Haonan Qiu","Yuanhao Liu","Jingxin Du","Man-On Pun"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2018-04-11T17:16:01Z","doi":"10.1109/compcomm.2017.8323042","addedAt":"2026-08-31T06:39:57.049Z","updatedAt":"2026-08-31T06:40:05.993Z"},{"id":"doi:10.1109/icuas51884.2021.9476886","name":"Integrated Guidance and Control for Autonomous Rendezvous of Unmanned Aerial Vehicle During Aerial Refueling","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icuas51884.2021.9476886","authors":["Wenbi Zhao","You Duan","Ziquan Yu","Yaohong Qu","Youmin Zhang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2021-08-10T20:47:30Z","doi":"10.1109/icuas51884.2021.9476886","addedAt":"2026-08-31T06:39:57.049Z","updatedAt":"2026-08-31T06:40:05.993Z"},{"id":"doi:10.1109/icuas48674.2020.9213950","name":"Multibody Dynamic Modeling and Control of an Unmanned Aerial Vehicle under Non-Holonomic Constraints","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icuas48674.2020.9213950","authors":["Eric Lanteigne","Joshua O'Reilly"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2020-10-06T19:58:28Z","doi":"10.1109/icuas48674.2020.9213950","addedAt":"2026-08-31T06:39:57.049Z","updatedAt":"2026-08-31T06:40:05.993Z"},{"id":"doi:10.18623/rvd.v23.6637","name":"SIMULATION MODEL OF UNMANNED AERIAL VEHICLE MAINTENANCE","source":"crossref","abstract":"A review of modern methods and approaches to UAV research is provided. In the context of the digital transformation of the maintenance process, the advantages of using the AnyLogic multi-approach environment for solving operational reliability problems are substantiated. The integration of AnyLogic discrete-event components for describing maintenance processes and agent-based logic for representing the life cycle of each individual drone allows for highly accurate prediction of service infrastructure bottlenecks and minimization of aircraft system downtime under intensive operating conditions. This paper explores the use of the AnyLogic environment to optimize maintenance processes and improve the operational readiness of aircraft. A comprehensive simulation model of the maintenance system is proposed, combining a discrete-event approach and agent-based modeling. This paper explores the use of the AnyLogic environment to optimize maintenance processes and improve the combat readiness of aircraft. A comprehensive simulation model of the maintenance system is proposed, combining a discrete-event approach and agent-based modeling. Algorithms for dynamic resource management of repair units are implemented. The model allows for assessing UAV fleet availability factors based on preventive maintenance strategies and onboard equipment failure rates, and determining resource allocation (technical personnel, equipment, and parts) under both scheduled and predictive maintenance conditions. It can be used to select maintenance strategies, manage resources, forecast operational availability, and optimize maintenance schedules.","url":"https://doi.org/10.18623/rvd.v23.6637","authors":["Natalia Baturina"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-05-20T14:42:44Z","doi":"10.18623/rvd.v23.6637","addedAt":"2026-08-31T06:39:57.049Z","updatedAt":"2026-08-31T06:40:05.993Z"},{"id":"doi:10.1515/icom-2018-0001","name":"Design and Evaluation of a Natural User Interface for Piloting an Unmanned Aerial Vehicle","source":"crossref","abstract":"Abstract Controlling an unmanned aerial vehicle is challenging and requires an intensive training. One cause is the teleoperation with the conventional input device, the remote control, whose functions are complicate. This paper presents an alternative concept for the teleoperation. Its realization includes a Thalmic Myo gesture control wristlet and a Microsoft HoloLens head-mounted display. These devices are used to implement an augmented reality interface, a tactile feedback and a gesture and speech input. Finally, this implementation has been evaluated with 30 participants and compared with a conventional remote control. The results show that the proposed interface is a good solution but does not reach the performance of the remote control.","url":"https://doi.org/10.1515/icom-2018-0001","authors":["Roman Herrmann","Ludger Schmidt"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2018-04-12T04:08:26Z","doi":"10.1515/icom-2018-0001","addedAt":"2026-08-31T06:39:57.049Z","updatedAt":"2026-08-31T06:40:05.993Z"},{"id":"doi:10.7717/peerj.17627/supp-1","name":"Supplemental Information 1: Unmanned aerial vehicle photos (height, 150 m) of sampling fields in abandoned croplands of the Minqin Oasis.","source":"crossref","abstract":"","url":"https://doi.org/10.7717/peerj.17627/supp-1","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-07-05T03:03:56Z","doi":"10.7717/peerj.17627/supp-1","addedAt":"2026-08-31T06:39:57.049Z","updatedAt":"2026-08-31T06:40:05.993Z"},{"id":"doi:10.23880/oajar-16000303","name":"Unmanned Aerial Vehicle (UAV) in Precision Agriculture to Identify the Crop Water Shortage by Using Multi-Spectral Sensor","source":"crossref","abstract":"Accurate diagnosis of crop water shortage and scientific irrigation decisions are crucial. A new method of multi-spectral imaging remote sensing image extraction of tea canopy temperature is proposed, and an automatic processing system of remote sensing thermal imaging images is established. In this short communication, A UAV (Unmanned Aerial Vehicle) with multi-spectral sensors used to capture the images. The research results show that the system can efficiently mosaic images without image gap, and ensure that the soil background is wholly eliminated. This research gives us new methods to set an intelligent method for precision agriculture, which greatly improves the level of agricultural intelligence.","url":"https://doi.org/10.23880/oajar-16000303","authors":["Wei Li"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-10-10T04:39:40Z","doi":"10.23880/oajar-16000303","addedAt":"2026-08-31T06:39:57.049Z","updatedAt":"2026-08-31T06:40:05.993Z"},{"id":"doi:10.1109/red-uas.2015.7441029","name":"Performance analysis of a powered parafoil unmanned aerial vehicle using open loop flight test results and analytical results","source":"crossref","abstract":"","url":"https://doi.org/10.1109/red-uas.2015.7441029","authors":["Vindhya Devalla","Amit Kumar Mondal","Om Prakash"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2016-04-19T21:27:16Z","doi":"10.1109/red-uas.2015.7441029","addedAt":"2026-08-31T06:39:57.049Z","updatedAt":"2026-08-31T06:40:05.993Z"},{"id":"doi:10.1139/juvs-2014-0019","name":"Design and manufacture of propellers for small unmanned aerial vehicles","source":"crossref","abstract":"The objective of this research was to develop a process for the design and manufacture of mission- and aircraft-specific propellers for small unmanned aerial vehicles. This objective was met by creating a computer program to design a propeller that meets user-defined aircraft performance requirements within the limitations of the electric motor, user-selected materials, and manufacturing methods. A comprehensive review of prior UAV propeller design and additive manufacturing for small propellers is also presented in this paper. The use of additive manufacturing (3D printing) in making flightworthy propellers was explored through material testing, manufacturing trials, and by testing the propellers under simulated flight conditions in a wind tunnel. It was found that the propeller performance generated nearly the predicted design thrust but the efficiency and power consumption could not be accurately measured with the present test setup. While flight testing was not completed at this time, ground and wind tunnel testing were sufficient to demonstrate the feasibility of producing flightworthy propellers using additive manufacturing.","url":"https://doi.org/10.1139/juvs-2014-0019","authors":["Brian Rutkay","Jeremy Laliberté"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2016-11-08T13:33:51Z","doi":"10.1139/juvs-2014-0019","addedAt":"2026-08-31T06:39:57.049Z","updatedAt":"2026-08-31T06:40:05.993Z"},{"id":"doi:10.2514/6.2003-6650","name":"Maximizing Endurance of Unmanned Aerial Vehicle Flight by Utilizing Wind Gradient","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2003-6650","authors":["Yiyuan Zhao"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2012-12-18T23:54:54Z","doi":"10.2514/6.2003-6650","addedAt":"2026-08-31T06:39:57.049Z","updatedAt":"2026-08-31T06:40:05.993Z"},{"id":"doi:10.3390/s19183958","name":"Real-Time Vehicle-Detection Method in Bird-View Unmanned-Aerial-Vehicle Imagery","source":"crossref","abstract":"Vehicle detection is an important research area that provides background information for the diversity of unmanned-aerial-vehicle (UAV) applications. In this paper, we propose a vehicle-detection method using a convolutional-neural-network (CNN)-based object detector. We design our method, DRFBNet300, with a Deeper Receptive Field Block (DRFB) module that enhances the expressiveness of feature maps to detect small objects in the UAV imagery. We also propose the UAV-cars dataset that includes the composition and angular distortion of vehicles in UAV imagery to train our DRFBNet300. Lastly, we propose a Split Image Processing (SIP) method to improve the accuracy of the detection model. Our DRFBNet300 achieves 21 mAP with 45 FPS in the MS COCO metric, which is the highest score compared to other lightweight single-stage methods running in real time. In addition, DRFBNet300, trained on the UAV-cars dataset, obtains the highest AP score at altitudes of 20–50 m. The gap of accuracy improvement by applying the SIP method became larger when the altitude increases. The DRFBNet300 trained on the UAV-cars dataset with SIP method operates at 33 FPS, enabling real-time vehicle detection.","url":"https://doi.org/10.3390/s19183958","authors":["Seongkyun Han","Jisang Yoo","Soonchul Kwon"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2019-09-13T10:32:41Z","doi":"10.3390/s19183958","addedAt":"2026-08-31T06:39:57.049Z","updatedAt":"2026-08-31T06:40:05.993Z"},{"id":"doi:10.1109/icus58632.2023.10318428","name":"Unmanned Aerial Vehicle Path Planning Based on DP-DDPG Algorithm","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icus58632.2023.10318428","authors":["Xu Wu","Zhongyuan Zhao","Quanbo Ge","Zijuan Luo"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-11-21T14:19:56Z","doi":"10.1109/icus58632.2023.10318428","addedAt":"2026-08-31T06:39:57.049Z","updatedAt":"2026-08-31T06:40:05.993Z"},{"id":"doi:10.18372/1990-5548.56.12938","name":"CONCEPTUAL DESIGN OF SOLAR UNMANNED AERIAL VEHICLE","source":"crossref","abstract":"","url":"https://doi.org/10.18372/1990-5548.56.12938","authors":["D. P. Karabetsky"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2019-02-08T08:51:55Z","doi":"10.18372/1990-5548.56.12938","addedAt":"2026-08-31T06:39:57.049Z","updatedAt":"2026-08-31T06:40:05.993Z"},{"id":"doi:10.36227/techrxiv.17869082","name":"HoloGCS : Mixed Reality-based Ground Control Station for Unmanned Aerial Vehicle","source":"crossref","abstract":"Ground control station (GCS) is a system for controlling and monitoring unmanned aerial vehicle (UAV). In current GCS, the device used are considered as complex environment. This paper proposes a video streaming and speech command control for supporting mixed reality based UAV GCS using Microsoft HoloLens. Video streaming will inform the UAV view and transmit the raw video to the HoloLens, while the HoloLens steers the UAV based on the displayed UAV field of view (FoV). Using the HoloLens Mixed Reality Tool-Kit (MRTK) speech input, UAV speech control from the HoloLens was successfully implemented. Finally, experimental results based on video streaming and speech command calculation of the throughput, round-time trip, latency and speech accuracy tests are discussed to demonstrate the feasibility of the proposed scheme.","url":"https://doi.org/10.36227/techrxiv.17869082","authors":["Daniar Estu Widiyanti","Krisma Asmoro","Soo Young Shin"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2022-01-07T22:42:58Z","doi":"10.36227/techrxiv.17869082","addedAt":"2026-08-31T06:39:57.049Z","updatedAt":"2026-08-31T06:40:05.993Z"},{"id":"doi:10.2737/rds-2018-0048","name":"Camp Swift Fire Experiment 2014: Post-fire unmanned aerial vehicle (UAV) imagery","source":"crossref","abstract":"","url":"https://doi.org/10.2737/rds-2018-0048","authors":["Derek J. McNamara"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2018-09-19T15:40:39Z","doi":"10.2737/rds-2018-0048","addedAt":"2026-08-31T06:39:57.049Z","updatedAt":"2026-08-31T06:40:05.993Z"},{"id":"doi:10.2139/ssrn.3872494","name":"Automated Papaya Farm Monitoring system using Unmanned Aerial Vehicle (UAV)","source":"crossref","abstract":"Papaya Farm monitoring plays a key role in taking the required early-stage steps to increase the efficiency of harvesting. Using Unmanned aerial vehicles (UAVs) we can increase the efficiency of faming and get maximum yield. Improving performance Unmanned aerial vehicles (UAVs) offer a quick and reliable means of collecting data from difficult to reach large farms. Awareness of the latest usability and technologies used in UAVs and the techniques of programming used to process images taken from UAVs. The approaches used to evaluate the stage of development with available algorithms. To plants, local binary patterns, distance transformation, and watershed segmentation methods are applied to pictures. Using YOLOv4 architecture trine the system to program to detect the plats and find the deficiency in it. this will help to monitor the large farm very easy. Papaya is one of the plants that have the we can find the deficiency of the tree by using monitoring the arial leaf images. at proper care of the plant yielding is can be improved. here with the help of ML (machine learning) the program can be done. using python, we are going to trine the system and gest the result from the program. making the use of available algorithms to modify the performance the get the best result up to loss parentage of 3. The available free were coding yolo is used to performing the task. Here we are using the lasted vision of YOLOv4. that improve the accuracy up to 97%. the increasing the iterations making the result best, here we use 3600 iterations for this project.","url":"https://doi.org/10.2139/ssrn.3872494","authors":["kiran joseph","D. Anto Sahaya Dhas","Jayesh George"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2021-07-10T05:46:38Z","doi":"10.2139/ssrn.3872494","addedAt":"2026-08-31T06:39:57.049Z","updatedAt":"2026-08-31T06:40:05.993Z"},{"id":"doi:10.1109/icuas.2017.7991515","name":"Analytical model and control solutions for unmanned aerial vehicle maneuvers in a vertical plane","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icuas.2017.7991515","authors":["Dilmurat Azimov","John Allen"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2017-08-09T16:07:44Z","doi":"10.1109/icuas.2017.7991515","addedAt":"2026-08-31T06:39:57.049Z","updatedAt":"2026-08-31T06:40:05.993Z"},{"id":"doi:10.1109/icuas.2018.8453334","name":"PROTOTYPING OF UNMANNED AERIAL &amp; GROUND VEHICLE (UAGV)","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icuas.2018.8453334","authors":["Sumeet Sagar","Siddharth Aggarwal","Vinayak Chakravarty","Sunidhi Garg","Swati Sondhi"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2018-09-07T20:31:16Z","doi":"10.1109/icuas.2018.8453334","addedAt":"2026-08-31T06:39:57.049Z","updatedAt":"2026-08-31T06:40:05.993Z"},{"id":"doi:10.2139/ssrn.4486700","name":"High-Precision Time Synchronization Algorithm for Unmanned Aerial Vehicle Ad Hoc Networks","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.4486700","authors":["Kaiyuan Bai","Jianfeng Wu","Huabing Wu"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-06-20T22:18:52Z","doi":"10.2139/ssrn.4486700","addedAt":"2026-08-31T06:39:57.049Z","updatedAt":"2026-08-31T06:40:05.993Z"},{"id":"doi:10.21236/ad1006022","name":"Effects of Hearing Protection Device Attenuation on Unmanned Aerial Vehicle (UAV) Audio Signatures","source":"crossref","abstract":"","url":"https://doi.org/10.21236/ad1006022","authors":["Melissa Bezandry","Adrienne Raglin","John Noble"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2017-06-29T15:36:23Z","doi":"10.21236/ad1006022","addedAt":"2026-08-31T06:39:57.049Z","updatedAt":"2026-08-31T06:40:05.993Z"},{"id":"doi:10.1109/icus55513.2022.9986772","name":"Simulation System Design of Unmanned Aerial Vehicle Swarm","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icus55513.2022.9986772","authors":["Weijie Li","Yu Hu","Fei Wang","Chunfeng Wang","Wei Zhang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2022-12-29T18:46:01Z","doi":"10.1109/icus55513.2022.9986772","addedAt":"2026-08-31T06:39:57.049Z","updatedAt":"2026-08-31T06:40:05.993Z"},{"id":"doi:10.1139/juvs-2020-0021","name":"Use of an unmanned aerial vehicle and sound localization to determine bird microhabitat","source":"crossref","abstract":"Study of bird microhabitat use is time consuming and labour intensive. Our objective was to present a proof of concept of how emerging, high-resolution bird survey methods can be combined with vegetation data collected via unmanned aerial vehicles to accurately and efficiently quantify bird microhabitat. We used sound localization to determine mourning warbler (Geothlypis philadelphia) song posts, and a hybrid light detection and ranging/digital aerial photogrammetry canopy height model to demonstrate how mourning warblers use regenerating vegetation on reclaimed well sites. We identified differences in vegetation heights at locations used by mourning warblers versus random background locations on a reclaimed well site, with sound localization and the canopy height model both providing measurements with 1-m resolution (t = −3.45, p = 0.002). These technologies have the potential to provide large numbers of accurate bird locations that can be associated with high-resolution, spatially explicit vegetation metrics and used in different ecological niche modeling frameworks.","url":"https://doi.org/10.1139/juvs-2020-0021","authors":["Scott J. Wilson","Richard W. Hedley","Mir Mustafizur Rahman","Erin M. Bayne"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2020-10-15T21:34:07Z","doi":"10.1139/juvs-2020-0021","addedAt":"2026-08-31T06:39:57.049Z","updatedAt":"2026-08-31T06:40:05.993Z"},{"id":"doi:10.4324/9781315153346-7","name":"Obtaining and Processing Unmanned Aerial Vehicle (UAV) Data for Surveying and Mapping","source":"crossref","abstract":"","url":"https://doi.org/10.4324/9781315153346-7","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2018-09-02T06:06:00Z","doi":"10.4324/9781315153346-7","addedAt":"2026-08-31T06:39:57.049Z","updatedAt":"2026-08-31T06:40:05.993Z"},{"id":"doi:10.1109/cac51589.2020.9326765","name":"Backstepping control for a quadrotor unmanned aerial vehicle","source":"crossref","abstract":"","url":"https://doi.org/10.1109/cac51589.2020.9326765","authors":["Tianpeng Huang","Deqing Huang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2021-01-29T21:31:46Z","doi":"10.1109/cac51589.2020.9326765","addedAt":"2026-08-31T06:39:57.049Z","updatedAt":"2026-08-31T06:40:05.993Z"},{"id":"doi:10.36227/techrxiv.17869082.v1","name":"HoloGCS : Mixed Reality-based Ground Control Station for Unmanned Aerial Vehicle","source":"crossref","abstract":"Ground control station (GCS) is a system for controlling and monitoring unmanned aerial vehicle (UAV). In current GCS, the device used are considered as complex environment. This paper proposes a video streaming and speech command control for supporting mixed reality based UAV GCS using Microsoft HoloLens. Video streaming will inform the UAV view and transmit the raw video to the HoloLens, while the HoloLens steers the UAV based on the displayed UAV field of view (FoV). Using the HoloLens Mixed Reality Tool-Kit (MRTK) speech input, UAV speech control from the HoloLens was successfully implemented. Finally, experimental results based on video streaming and speech command calculation of the throughput, round-time trip, latency and speech accuracy tests are discussed to demonstrate the feasibility of the proposed scheme.","url":"https://doi.org/10.36227/techrxiv.17869082.v1","authors":["Daniar Estu Widiyanti","Krisma Asmoro","Soo Young Shin"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2022-01-07T17:42:57Z","doi":"10.36227/techrxiv.17869082.v1","addedAt":"2026-08-31T06:39:57.049Z","updatedAt":"2026-08-31T06:40:05.993Z"},{"id":"doi:10.46519/ij3dptdi.1083686","name":"AN EXPERIMENTAL DETERMINATION AND NUMERICAL ANALYSIS OF A LOITER MUNITION UNMANNED AERIAL VEHICLE SYSTEM","source":"crossref","abstract":"This paper experimentally determinates the calculation of an Unmanned Aerial Vehicle (UAV) and analyzes the design criteria within four different scenarios. The UAV to be designed is a loiter munition UAV system. A mobile or equipment such as a parachute and/or airbag. The UAV may be operable day and night conditions, capable of 2-3 hours of flight hours, and will be launched from a catapult. The UAV navigation system is compact and easily controlled by a personal Global Positioning System (GPS). The mentioned UAV will have a vast operational capability, especially for defense and border security activities since it is equipped with advanced avionics and a small physical footprint for covert operations. As a consequence of this research, it can be claimed that the UAV's mid-wing, twin-tail, and relatively light body will have three axis stability and offer numerous benefits, particularly in terms of operational cost.","url":"https://doi.org/10.46519/ij3dptdi.1083686","authors":["Tamer SARAÇYAKUPOĞLU","Heyzem Doğukan DELİBAŞ","Ahmet Devlet ÖZÇELİK"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2022-04-25T07:01:06Z","doi":"10.46519/ij3dptdi.1083686","addedAt":"2026-08-31T06:39:57.049Z","updatedAt":"2026-08-31T06:40:05.993Z"},{"id":"doi:10.1109/icuas.2014.6842314","name":"Unmanned Aerial Vehicle security using Recursive parameter estimation","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icuas.2014.6842314","authors":["Zachary Birnbaum","Andrey Dolgikh","Victor Skormin","Edward O'Brien","Daniel Muller"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2014-07-28T21:03:42Z","doi":"10.1109/icuas.2014.6842314","addedAt":"2026-08-31T06:39:57.049Z","updatedAt":"2026-08-31T06:40:05.993Z"},{"id":"doi:10.5772/5414","name":"Humanitarian Demining Using an Insect Based Chemical Unmanned Aerial Vehicle","source":"crossref","abstract":"","url":"https://doi.org/10.5772/5414","authors":["Sergi Bermudez i Badia","Paul F.M.J."],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2012-03-23T15:28:04Z","doi":"10.5772/5414","addedAt":"2026-08-31T06:39:57.049Z","updatedAt":"2026-08-31T06:40:05.993Z"},{"id":"doi:10.2514/1.c034373","name":"Aerodynamic Aspects of Unmanned Aerial Vehicle Aerial Refueling","source":"crossref","abstract":"","url":"https://doi.org/10.2514/1.c034373","authors":["Joseph Katz"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2017-07-14T12:07:09Z","doi":"10.2514/1.c034373","addedAt":"2026-08-31T06:39:57.049Z","updatedAt":"2026-08-31T06:40:05.993Z"},{"id":"doi:10.1109/icus.2017.8278366","name":"Orthogonal design and optimization of flight stability test for the quadrotor unmanned aerial vehicle","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icus.2017.8278366","authors":["Xiaodong Hu","Xuexiang Huang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2018-02-01T21:45:17Z","doi":"10.1109/icus.2017.8278366","addedAt":"2026-08-31T06:39:57.049Z","updatedAt":"2026-08-31T06:40:05.993Z"},{"id":"doi:10.1007/978-981-19-1292-4_3","name":"3D Unmanned Aerial Vehicle Placement for Public Safety Communications","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-981-19-1292-4_3","authors":["Abhaykumar Kumbhar","Ismail Güvenç"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2022-05-06T15:25:27Z","doi":"10.1007/978-981-19-1292-4_3","addedAt":"2026-08-31T06:39:57.049Z","updatedAt":"2026-08-31T06:40:05.993Z"},{"id":"doi:10.1109/icuas.2015.7152389","name":"Autonomous visual navigation of Unmanned Aerial Vehicle for wind turbine inspection","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icuas.2015.7152389","authors":["Martin Stokkeland","Kristian Klausen","Tor A. Johansen"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2015-07-17T16:09:51Z","doi":"10.1109/icuas.2015.7152389","addedAt":"2026-08-31T06:39:57.049Z","updatedAt":"2026-08-31T06:40:05.993Z"},{"id":"doi:10.1109/etaav66793.2025.11212989","name":"Wheat Monitoring Using Unmanned Aerial Vehicle based Hyperspectral Imagery","source":"crossref","abstract":"","url":"https://doi.org/10.1109/etaav66793.2025.11212989","authors":["Yash Raj","Sakshi Jain","Unmesh Khati"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-10-29T17:31:08Z","doi":"10.1109/etaav66793.2025.11212989","addedAt":"2026-08-31T06:39:57.049Z","updatedAt":"2026-08-31T06:40:02.905Z"},{"id":"doi:10.1109/icuas.2015.7152425","name":"Unmanned Aerial Vehicle security using behavioral profiling","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icuas.2015.7152425","authors":["Zachary Birnbaum","Andrey Dolgikh","Victor Skormin","Edward O'Brien","Daniel Muller","Christina Stracquodaine"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2015-07-17T20:09:51Z","doi":"10.1109/icuas.2015.7152425","addedAt":"2026-08-31T06:39:57.049Z","updatedAt":"2026-08-31T06:40:05.993Z"},{"id":"doi:10.1109/icus48101.2019.8996052","name":"Trap Space Trajectory Planning for Unmanned Aerial Vehicle Based on Human-RRT Algorithm","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icus48101.2019.8996052","authors":["Hao Li","YiChao Cai","Hui Zhang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2020-02-14T10:13:18Z","doi":"10.1109/icus48101.2019.8996052","addedAt":"2026-08-31T06:39:57.049Z","updatedAt":"2026-08-31T06:40:05.993Z"},{"id":"doi:10.1109/icuas57906.2023.10156429","name":"Indoor vehicle-in-the-loop simulation of unmanned micro aerial vehicle with artificial companion","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icuas57906.2023.10156429","authors":["Antal Hiba","Viktor Kortvelyesi","Albert Kiskaroly","Omkar Bhoite","Patrik David","Andras Majdik"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-06-26T18:08:46Z","doi":"10.1109/icuas57906.2023.10156429","addedAt":"2026-08-31T06:39:57.049Z","updatedAt":"2026-08-31T06:40:05.993Z"},{"id":"doi:10.2514/6.2014-0539","name":"Development of a Solar-Powered Unmanned Aerial Vehicle","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2014-0539","authors":["Zhong Lei"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2014-01-11T04:05:14Z","doi":"10.2514/6.2014-0539","addedAt":"2026-08-31T06:39:57.049Z","updatedAt":"2026-08-31T06:40:05.993Z"},{"id":"doi:10.1145/3213526.3213535","name":"Topology Control of Unmanned Aerial Vehicle (UAV) Mesh Networks","source":"crossref","abstract":"","url":"https://doi.org/10.1145/3213526.3213535","authors":["Sérgio Sabino","António Grilo"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2018-05-25T12:39:28Z","doi":"10.1145/3213526.3213535","addedAt":"2026-08-31T06:39:57.049Z","updatedAt":"2026-08-31T06:40:05.993Z"},{"id":"doi:10.47939/et.v2i3.51","name":"Autonomous Navigation of Unmanned Aerial Vehicle Based on GPS Positioning","source":"crossref","abstract":"","url":"https://doi.org/10.47939/et.v2i3.51","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2021-12-07T04:38:39Z","doi":"10.47939/et.v2i3.51","addedAt":"2026-08-31T06:39:57.049Z","updatedAt":"2026-08-31T06:40:05.993Z"},{"id":"doi:10.2139/ssrn.5247395","name":"A Rapid Measurement Method of Surface Flow Velocity Based on Unmanned Aerial Vehicle","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.5247395","authors":["Enzhan Zhang","Xia Zhang","Xinping Li"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-05-08T20:45:14Z","doi":"10.2139/ssrn.5247395","addedAt":"2026-08-31T06:39:57.049Z","updatedAt":"2026-08-31T06:40:02.906Z"},{"id":"doi:10.1109/aero.2012.6187321","name":"Intelligent landing of Unmanned Aerial Vehicle using hierarchical fuzzy control","source":"crossref","abstract":"","url":"https://doi.org/10.1109/aero.2012.6187321","authors":["Liu Zhi","Wang Yong"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2012-04-25T16:10:10Z","doi":"10.1109/aero.2012.6187321","addedAt":"2026-08-31T06:39:57.049Z","updatedAt":"2026-08-31T06:40:05.993Z"},{"id":"doi:10.1038/s41598-026-63976-0","name":"Transmission line defect detection via an integrated improved YOLOv8 and deep neural random forest framework","source":"crossref","abstract":"","url":"https://doi.org/10.1038/s41598-026-63976-0","authors":["Liangshuai Liu","Lingming Meng","Anchang Li","Peng Yan","Yuntao Zhao"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-08-22T10:35:06Z","doi":"10.1038/s41598-026-63976-0","addedAt":"2026-08-31T06:39:57.049Z","updatedAt":"2026-08-31T06:40:05.993Z"},{"id":"doi:10.21236/ada428090","name":"The Development of a Hands-On Unmanned Aerial Vehicle/Remotely Piloted Vehicle Flight Test and Evaluation","source":"crossref","abstract":"","url":"https://doi.org/10.21236/ada428090","authors":["Russell Adelgren","John Minor","David Warner","Jason Doster"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2017-08-14T12:53:33Z","doi":"10.21236/ada428090","addedAt":"2026-08-31T06:39:57.049Z","updatedAt":"2026-08-31T06:40:05.993Z"},{"id":"doi:10.7176/cti/9-01","name":"Internal Model Control Tuned Proportional Integral Derivative for Quadrotor Unmanned Aerial Vehicle Dynamic Model","source":"crossref","abstract":"","url":"https://doi.org/10.7176/cti/9-01","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2020-04-29T17:52:26Z","doi":"10.7176/cti/9-01","addedAt":"2026-08-31T06:39:57.049Z","updatedAt":"2026-08-31T06:40:05.993Z"},{"id":"doi:10.1016/b978-0-12-822968-2.00008-5","name":"Rail transit inspection unmanned aerial vehicle (UAV) systems","source":"crossref","abstract":"","url":"https://doi.org/10.1016/b978-0-12-822968-2.00008-5","authors":["Hui Liu"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2020-07-24T09:32:32Z","doi":"10.1016/b978-0-12-822968-2.00008-5","addedAt":"2026-08-31T06:39:57.049Z","updatedAt":"2026-08-31T06:40:05.993Z"},{"id":"doi:10.1002/gj.4905/v2/decision1","name":"Decision letter for \"Semi‐automatic identification of discontinuity parameters in rock masses based on Unmanned Aerial Vehicle photography\"","source":"crossref","abstract":"","url":"https://doi.org/10.1002/gj.4905/v2/decision1","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-01-29T09:29:56Z","doi":"10.1002/gj.4905/v2/decision1","addedAt":"2026-08-31T06:39:57.049Z","updatedAt":"2026-08-31T06:40:05.993Z"},{"id":"doi:10.1007/978-3-031-08395-2_9","name":"Blockchain Technology Enabling UAV Cellular Communications","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-031-08395-2_9","authors":["S. Suganthi","G. Nagarajan","T. Poongodi"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2022-10-11T09:07:30Z","doi":"10.1007/978-3-031-08395-2_9","addedAt":"2026-08-31T06:39:57.049Z","updatedAt":"2026-08-31T06:40:05.993Z"},{"id":"doi:10.1109/icuas.2014.6842361","name":"Development of control system for an unmanned single tilt tri-rotor aerial vehicle","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icuas.2014.6842361","authors":["Andrzej Ryś","Roman Czyba","Grzegorz Szafrański"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2014-07-28T17:03:42Z","doi":"10.1109/icuas.2014.6842361","addedAt":"2026-08-31T06:39:57.049Z","updatedAt":"2026-08-31T06:40:05.993Z"},{"id":"doi:10.1139/juvs-2019-0013","name":"Citation patterns of publications using unmanned aerial vehicles in ecology and conservation","source":"crossref","abstract":"Unmanned aerial vehicles (UAVs) are incorporated as an important part of the toolbox to complement existing methods used in studies in ecology. It is therefore useful to understand how publications concerning those studies accumulate citations over time. In this study I used 213 articles in which UAVs were used in the research and I investigated for potential factors underlying how many citations they received. I used metrics that were already shown to be correlated with the number of citations in other fields, and tested more specific effects, such as the ecosystem, habitat type, or the International Union for Conservation of Nature (IUCN) Red List status of the study species. I found that the time elapsed since publication was the only variable explaining the number of citations a publication received. The average number of citations was 12.1 [95% credible intervals: 8.8–16.7] after 2 years and 41.8 [95% credible intervals: 27.1–63.7] after 5 years. In total, &lt;6% of publications had no citations after 1 year and &lt;0.5% of publications after 2 years, which is lower than for the field of biology as a whole. This study allows a baseline to be established, from which we can compare the evolution of the field in the future.","url":"https://doi.org/10.1139/juvs-2019-0013","authors":["Antoine M. Dujon"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2019-09-26T23:08:04Z","doi":"10.1139/juvs-2019-0013","addedAt":"2026-08-31T06:39:57.049Z","updatedAt":"2026-08-31T06:40:05.993Z"},{"id":"doi:10.7717/peerj.4359/fig-1","name":"Figure 1: The landscape of study sites (The middle picture was taken using Unmanned aerial vehicle (DJIS1000 + Canon 5D Mark III)).","source":"crossref","abstract":"","url":"https://doi.org/10.7717/peerj.4359/fig-1","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2018-02-13T03:52:12Z","doi":"10.7717/peerj.4359/fig-1","addedAt":"2026-08-31T06:39:57.049Z","updatedAt":"2026-08-31T06:40:05.993Z"},{"id":"doi:10.1109/icuas.2014.6842287","name":"Modeling and identification of electric propulsion system for multirotor unmanned aerial vehicle design","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icuas.2014.6842287","authors":["Grzegorz Szafranski","Roman Czyba","Marian Blachuta"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2014-07-28T17:03:42Z","doi":"10.1109/icuas.2014.6842287","addedAt":"2026-08-31T06:39:57.049Z","updatedAt":"2026-08-31T06:40:05.993Z"},{"id":"doi:10.2514/6.2005-6939","name":"Collaborative Decision Environment for Unmanned Aerial Vehicle Operations","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2005-6939","authors":["Matthew D'Ortenzio","Francis Enomoto","Sandra Johan"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2012-12-18T23:26:59Z","doi":"10.2514/6.2005-6939","addedAt":"2026-08-31T06:39:57.049Z","updatedAt":"2026-08-31T06:40:05.993Z"},{"id":"doi:10.21203/rs.3.rs-550807/v1","name":"Pairwise Control In Unmanned Aerial Vehicle Swarm Flocking","source":"crossref","abstract":"Abstract Inspired by the natural phenomenon that pair-bonded jackdaws fly together within a flock, a new cooperative model and control method with pairwise structure in the swarm flocking is proposed to perform proximity missions such as air refueling, data exchange and coordinated operations of two unmanned aerial vehicles in the swarm. A noval square-law error sliding mode surface and variable structure sliding mode controller are proposed, so that any two unmanned aerial vehicles in the swarm could converge to a specified relative distance. Based on this, the distributed control protocol is designed that integrates pairwise distance control and flocking control. It enables unmanned aerial vehicles to be paired in the swarm without disrupting the consensus of the entire swarm. Finally, two theorems are proved by Lyapunov stability theorem. The distance between paired unmanned aerial vehicles is exponentially convergent, and the swarm flocking is collision free. Swarm flight simulations based on particle motion model with number from 20 to 100 are respectively presented, as well as 10 unmanned aerial vehicles swarm flight simulations with quadrotor dynamics model. The simulation experiments have sufficiently verified the effectiveness and accuracy of the method. The results show that distance control could still be achieved in the extreme case that the paired unmanned aerial vehicles are at the farthest corners of the swarm.","url":"https://doi.org/10.21203/rs.3.rs-550807/v1","authors":["Jintao Liu","Ming He","Ling Luo","Qiang Liu","Mingguang Zou"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2021-06-14T20:27:58Z","doi":"10.21203/rs.3.rs-550807/v1","addedAt":"2026-08-31T06:39:57.049Z","updatedAt":"2026-08-31T06:40:05.993Z"},{"id":"doi:10.31227/osf.io/9bm5g","name":"Analysis of Performance of 433 MHz Telemetry Devices for Data Transmission in Unmanned Aerial Vehicle (UAV)","source":"crossref","abstract":"Abstract—Telemetry systems are a method of distance measurement that utilizes telecommunications facilities and computer systems for access control. The telemetry system on unmanned aerial vehicles is used to provide information such as position (coordinate point), altitude, direction, and some information that shows the condition of the aircraft in real time when the air vehicle operates. Telemetry systems in UAVs consist of hardware and software. Hardware in the form of IMU flight controllersand sensors. While the software used is a ground control station that is used to receive and process data. In software equipped with aircraft instrumentation systems. This paper examines the use of the 433 MHz radio system as a remote device link. In the test results, the telemetry device can send data from the aircraft to the ground control station, and vice versa well. Index Terms—Telemetry, 433 Mhz, Baudrate, LOS Data","url":"https://doi.org/10.31227/osf.io/9bm5g","authors":["Ni'am Tamami"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2020-01-02T20:18:21Z","doi":"10.31227/osf.io/9bm5g","addedAt":"2026-08-31T06:39:57.049Z","updatedAt":"2026-08-31T06:40:05.993Z"},{"id":"doi:10.2139/ssrn.5345262","name":"A Rapid Measurement Method of Surface Flow Velocity Based on Unmanned Aerial Vehicle","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.5345262","authors":["Xia Zhang","Xinping Li","Enzhan Zhang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-07-09T12:39:08Z","doi":"10.2139/ssrn.5345262","addedAt":"2026-08-31T06:39:57.049Z","updatedAt":"2026-08-31T06:40:02.906Z"},{"id":"doi:10.1109/aero.2006.1655800","name":"A Low Cost, High Performance Reconfigurable Computing Based Unmanned Aerial Vehicle","source":"crossref","abstract":"","url":"https://doi.org/10.1109/aero.2006.1655800","authors":["G. Wigley","M. Jasiunas"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2006-08-03T00:10:31Z","doi":"10.1109/aero.2006.1655800","addedAt":"2026-08-31T06:39:57.049Z","updatedAt":"2026-08-31T06:40:05.993Z"},{"id":"doi:10.52939/ijg.v19i12.2977","name":"Earthwork Volume Measurement in Road Construction Using Unmanned Aerial Vehicle (UAV)","source":"crossref","abstract":"","url":"https://doi.org/10.52939/ijg.v19i12.2977","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-12-21T06:01:01Z","doi":"10.52939/ijg.v19i12.2977","addedAt":"2026-08-31T06:39:57.049Z","updatedAt":"2026-08-31T06:40:05.993Z"},{"id":"doi:10.1515/9783111619323-205","name":"XIIIList of Authors","source":"crossref","abstract":"","url":"https://doi.org/10.1515/9783111619323-205","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-08-04T11:29:17Z","doi":"10.1515/9783111619323-205","addedAt":"2026-08-31T06:39:57.049Z","updatedAt":"2026-08-31T06:40:02.906Z"},{"id":"doi:10.1109/secon.2015.7133020","name":"Performance evaluation of Unmanned Aerial Vehicle ad hoc networks","source":"crossref","abstract":"","url":"https://doi.org/10.1109/secon.2015.7133020","authors":["Robin Grodi","Danda B. Rawat","Chandra Bajracharya"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2015-06-26T22:01:27Z","doi":"10.1109/secon.2015.7133020","addedAt":"2026-08-31T06:39:57.049Z","updatedAt":"2026-08-31T06:40:05.993Z"},{"id":"doi:10.21236/ada495209","name":"The U.S. Air Force Remotely Piloted Aircraft and Unmanned Aerial Vehicle Strategic Vision","source":"crossref","abstract":"","url":"https://doi.org/10.21236/ada495209","authors":["DEPARTMENT OF THE AIR FORCE WASHINGTON DC"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2017-07-27T19:42:18Z","doi":"10.21236/ada495209","addedAt":"2026-08-31T06:39:57.049Z","updatedAt":"2026-08-31T06:40:02.906Z"},{"id":"doi:10.1108/20496421311330056","name":"Heuristic path planning of unmanned aerial vehicle formations","source":"crossref","abstract":"Purpose The purpose of this research is to propose a novel method to plan paths of unmanned aerial vehicle (UAV) formations. This is to make use of the aerodynamic advantage of formation flight to reduce energy consumption of UAVs. Design/methodology/approach The method proposed in this research make use of the fact that, under certain conditions, the regions where if a UAV rendezvous or separates with another UAV would save energy by formation flying can be analytically calculated. The intersections of these regions are used to decide which UAV are to fly in the same formation. This combination of which UAV are to fly together and what order they join/part from the formation is called the topology of the problem. Findings The proposed method was proved to be effective in identifying efficient topologies, with the majority of the topologies selected falling below 5 percent error rate in terms of energy. Originality/value The originality of this research lies in the fact that the proposed method is completely visualised – all the necessary information to organise formations is visualised in the envelopes. Still, the proposed method was proved to be effective in selecting efficient topologies.","url":"https://doi.org/10.1108/20496421311330056","authors":["Takuma Hino","Takeshi Tsuchiya"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2013-05-10T07:48:03Z","doi":"10.1108/20496421311330056","addedAt":"2026-08-31T06:39:57.049Z","updatedAt":"2026-08-31T06:40:05.993Z"},{"id":"doi:10.26552/pas.z.2021.2.38","name":"Unmanned aerial vehicle pilot training","source":"crossref","abstract":"The paper titled \"Unmanned aerial vehicle pilot training\" is focused on the analysis of unmanned aerial vehicle pilot training and the importance of using an unmanned flight simulator during the practical training of unmanned aerial vehicle pilots. For the realization of the paper, we used a device that served to measure the mental workload of unmanned aerial vehicle pilots during simulated and practical flight. Our experiment involved 5 unmanned aerial vehicle pilots in training who had zero or minimal flying experience. The aim of this work was to investigate to what extent mental workload acts on UAV pilots during simulated and practical flights. The measurements and their analysis showed that a much greater load is exerted on the pilots of unmanned aerial vehicles during practical flight. Through a primary experiment of already experienced pilots, we concluded that the majority of respondents would welcome the opportunity to use an unmanned flight simulator during their training. The paperconcludes with a summary of the individual measurement results, graphical representations of the respondents' answers, as well as an implementation design that could be applied to the training of UAV pilots.","url":"https://doi.org/10.26552/pas.z.2021.2.38","authors":["Nikola Sklaličanová","Branislav Kandera"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2021-08-06T07:31:34Z","doi":"10.26552/pas.z.2021.2.38","addedAt":"2026-08-31T06:39:57.049Z","updatedAt":"2026-08-31T06:40:05.993Z"},{"id":"doi:10.1109/apuavd.2015.7346612","name":"Reaction of remote-controlled aerial vehicle on controlling influences of operator","source":"crossref","abstract":"","url":"https://doi.org/10.1109/apuavd.2015.7346612","authors":["A.K. Ablesimov","L.V. Pogribnyak"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2015-12-08T17:19:57Z","doi":"10.1109/apuavd.2015.7346612","addedAt":"2026-08-31T06:39:57.049Z","updatedAt":"2026-08-31T06:40:02.906Z"},{"id":"doi:10.1115/1.0001396v","name":"Unmanned Aerial Vehicle Path Generation for Image Collection to Assist Heliostat Field Optical Characterization","source":"crossref","abstract":"","url":"https://doi.org/10.1115/1.0001396v","authors":["Kidus Guye","Rebecca Mitchell","Guangdong Zhu"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2021-08-03T17:56:17Z","doi":"10.1115/1.0001396v","addedAt":"2026-08-31T06:39:57.049Z","updatedAt":"2026-08-31T06:40:02.906Z"},{"id":"doi:10.1139/juvs-2015-0004","name":"Unmanned aerial systems: collaborative innovation to support emergency response","source":"crossref","abstract":"The utility and function of unmanned aerial systems (UAS) have continued to evolve in recent years, stimulated by conception of commercial (i.e., civil) opportunities. The onset of large-scale disaster events (e.g., wild fires, accidents, weather events, and nuclear, biological, chemical) contamination), can result in significant loss of life, damage to property and critical infrastructure, and disruption of service. The increasing effectiveness of UAS establishes a compelling case for providing expedited, economical, and flexible response to gain improved awareness of an emergency event and its effects. To reach the full potential of this technology, stakeholders from across the industry will need to make a concerted effort to collaboratively address potential concerns and issues.","url":"https://doi.org/10.1139/juvs-2015-0004","authors":["Brent Terwilliger","Dennis Vincenzi","David Ison"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2015-02-19T17:34:41Z","doi":"10.1139/juvs-2015-0004","addedAt":"2026-08-31T06:39:57.049Z","updatedAt":"2026-08-31T06:40:02.906Z"},{"id":"doi:10.30707/etd2022.20220705065051850022.999988","name":"Measuring Optical Water Quality Parameters Using an Unmanned Aerial Vehicle (UAV) - Based Multispectral Sensor, Lake Bloomington and Evergreen Lake","source":"crossref","abstract":"","url":"https://doi.org/10.30707/etd2022.20220705065051850022.999988","authors":["Jerome Komas"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2022-07-05T12:28:30Z","doi":"10.30707/etd2022.20220705065051850022.999988","addedAt":"2026-08-31T06:39:57.049Z","updatedAt":"2026-08-31T06:40:02.906Z"},{"id":"doi:10.52853/18291171-2021.14.3-151","name":"Unmanned Aerial Vehicle Design for Application in Cyber Security","source":"crossref","abstract":"In this paper a small copter size unmanned aerial Vehicle (UAV) has been designed as a platform for a flying computer station to carry out cyber-attacks (Jamming, Spoofing, Man in the Middle, etc.) on devices that utilize wireless technologies, WiFi in particular. A yagi-patch hybrid antenna designed for 2.4 GHz freely rotates on two axes, thus allowing the drone to perform attacks on low power devices up to ranges of 300 meters. The modular design of the UAV allows for quick swapping of modules depending on the specific wireless technology used by the target device.","url":"https://doi.org/10.52853/18291171-2021.14.3-151","authors":["M. K. Gambaryan"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2021-10-20T07:21:14Z","doi":"10.52853/18291171-2021.14.3-151","addedAt":"2026-08-31T06:39:57.049Z","updatedAt":"2026-08-31T06:40:02.906Z"},{"id":"doi:10.18260/1-2--23235","name":"Unmanned Aerial Vehicle Applications and Issues for Construction","source":"crossref","abstract":"","url":"https://doi.org/10.18260/1-2--23235","authors":["Neil Opfer","David Shields"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2020-09-04T01:15:42Z","doi":"10.18260/1-2--23235","addedAt":"2026-08-31T06:39:57.049Z","updatedAt":"2026-08-31T06:40:02.906Z"},{"id":"doi:10.19062/1842-9238.2018.16.1.7","name":"DESIGN AND DEVELOPMENT OF THE LQR OPTIMAL CONTROLLER FOR THE UNMANNED AERIAL VEHICLE","source":"crossref","abstract":"","url":"https://doi.org/10.19062/1842-9238.2018.16.1.7","authors":["Róbert SZABOLCSI"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2018-08-03T08:44:21Z","doi":"10.19062/1842-9238.2018.16.1.7","addedAt":"2026-08-31T06:39:57.049Z","updatedAt":"2026-08-31T06:40:02.906Z"},{"id":"doi:10.1063/1.5066535","name":"Unmanned aerial vehicle application for air pollution monitoring","source":"crossref","abstract":"","url":"https://doi.org/10.1063/1.5066535","authors":["Sławomir Szymocha","Dawid Piwowarski","Stanisław Anweiler"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2018-10-30T00:31:03Z","doi":"10.1063/1.5066535","addedAt":"2026-08-31T06:39:57.049Z","updatedAt":"2026-08-31T06:40:02.906Z"},{"id":"doi:10.1109/icus.2017.8278310","name":"Low drag design of radome for unmanned aerial vehicle","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icus.2017.8278310","authors":["Wenbiao Gan","Jinwu Xiang","Tielin Ma","Qinling Zhang","Dawei Bie"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2018-02-01T16:45:17Z","doi":"10.1109/icus.2017.8278310","addedAt":"2026-08-31T06:39:57.049Z","updatedAt":"2026-08-31T06:40:02.906Z"},{"id":"doi:10.1109/icus66297.2025.11294391","name":"Cruise Trajectory Planning for Variable Configuration Unmanned Aerial Vehicle","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icus66297.2025.11294391","authors":["Guangyu Yang","Wenxing Fu","Supeng Zhu","Yuge Zhang","Tong Zhang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-12-23T18:28:29Z","doi":"10.1109/icus66297.2025.11294391","addedAt":"2026-08-31T06:39:57.049Z","updatedAt":"2026-08-31T06:40:02.906Z"},{"id":"doi:10.5281/zenodo.21852017","name":"UST\\-Fuse Cyber Range Digital Twin: A Digital Twin of a Hybrid Multi\\-Sensor Cyber Range for UAV Detection and Tracking","source":"datacite","abstract":"UST-Fuse Cyber Range Digital Twin is a software implementation of a digital twin for a cost-effective hybrid research and training testbed designed to investigate multi-sensor methods for unmanned aerial vehicle (UAV) detection, tracking, and performance assessment. The system follows a virtual-first concept, in which the majority of experiments are conducted within a reproducible virtual environment, while the physical testbed is primarily used for validation of the obtained results. The software framework models the complete experimental pipeline, including UAV ground-truth trajectory generation, radar, electro-optical/infrared, RF-SDR, and acoustic sensors, time synchronization, network latency, jitter and packet loss, sensor failures, communication channel degradation, spoofing scenarios, and varying environmental conditions. It supports the generation of immutable RAW datasets, enabling rigorous paired comparison of alternative data-processing algorithms under identical experimental conditions. The digital twin implements two principal processing pipelines: a Reference baseline based primarily on radar data and the complete UST-Fuse multi-sensor fusion framework incorporating temporal error correction, sensor fusion, data association, and multi-target tracking algorithms. Performance assessment is based on RMSE, OSPA, MOTA, identity switches, Expected Calibration Error (ECE), Brier Score, and additional metrics characterizing detection, tracking, and uncertainty calibration. Paired statistical analysis includes confidence intervals, effect-size estimation, and statistical power assessment. The software includes a library of 12 experimental scenarios covering temporal calibration, sensor modelling, multi-sensor data fusion, multi-target tracking, fault tolerance, domain shift and domain randomisation, uncertainty calibration, MLOps and reproducibility, digital-twin-to-field validation, and preparation of experimental results for scientific publication. Each experiment is associated with a deterministic random seed, configuration hash, and provenance manifest, ensuring reproducibility of RAW data, calculated metrics, figures, and reports. The system automatically generates scientific visualisations and experimental reports in Markdown and HTML formats and can be executed entirely within the Google Colab environment. The framework is intended for reproducible research and training experiments in digital twins, multi-sensor data fusion, UAV detection and tracking, sensor-system resilience assessment, uncertainty calibration, and experimental validation of algorithms. Its architecture enables a single physical reference testbed to support multiple digital replicas, repeated mission replay, and domain randomisation, thereby reducing the cost of physical experiments while increasing scalability, reproducibility, and methodological rigor.","url":"https://doi.org/10.5281/zenodo.21852017","authors":["Prokopovych-Tkachenko, Dmytro"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.21852017","addedAt":"2026-08-31T06:39:57.050Z","updatedAt":"2026-08-31T06:39:57.050Z"},{"id":"doi:10.5281/zenodo.21852018","name":"UST\\-Fuse Cyber Range Digital Twin: A Digital Twin of a Hybrid Multi\\-Sensor Cyber Range for UAV Detection and Tracking","source":"datacite","abstract":"UST-Fuse Cyber Range Digital Twin is a software implementation of a digital twin for a cost-effective hybrid research and training testbed designed to investigate multi-sensor methods for unmanned aerial vehicle (UAV) detection, tracking, and performance assessment. The system follows a virtual-first concept, in which the majority of experiments are conducted within a reproducible virtual environment, while the physical testbed is primarily used for validation of the obtained results. The software framework models the complete experimental pipeline, including UAV ground-truth trajectory generation, radar, electro-optical/infrared, RF-SDR, and acoustic sensors, time synchronization, network latency, jitter and packet loss, sensor failures, communication channel degradation, spoofing scenarios, and varying environmental conditions. It supports the generation of immutable RAW datasets, enabling rigorous paired comparison of alternative data-processing algorithms under identical experimental conditions. The digital twin implements two principal processing pipelines: a Reference baseline based primarily on radar data and the complete UST-Fuse multi-sensor fusion framework incorporating temporal error correction, sensor fusion, data association, and multi-target tracking algorithms. Performance assessment is based on RMSE, OSPA, MOTA, identity switches, Expected Calibration Error (ECE), Brier Score, and additional metrics characterizing detection, tracking, and uncertainty calibration. Paired statistical analysis includes confidence intervals, effect-size estimation, and statistical power assessment. The software includes a library of 12 experimental scenarios covering temporal calibration, sensor modelling, multi-sensor data fusion, multi-target tracking, fault tolerance, domain shift and domain randomisation, uncertainty calibration, MLOps and reproducibility, digital-twin-to-field validation, and preparation of experimental results for scientific publication. Each experiment is associated with a deterministic random seed, configuration hash, and provenance manifest, ensuring reproducibility of RAW data, calculated metrics, figures, and reports. The system automatically generates scientific visualisations and experimental reports in Markdown and HTML formats and can be executed entirely within the Google Colab environment. The framework is intended for reproducible research and training experiments in digital twins, multi-sensor data fusion, UAV detection and tracking, sensor-system resilience assessment, uncertainty calibration, and experimental validation of algorithms. Its architecture enables a single physical reference testbed to support multiple digital replicas, repeated mission replay, and domain randomisation, thereby reducing the cost of physical experiments while increasing scalability, reproducibility, and methodological rigor.","url":"https://doi.org/10.5281/zenodo.21852018","authors":["Prokopovych-Tkachenko, Dmytro"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.21852018","addedAt":"2026-08-31T06:39:57.050Z","updatedAt":"2026-08-31T06:39:57.050Z"},{"id":"doi:10.5281/zenodo.22084982","name":"Event-Triggered Stigmergic Coordination for Communication-Efficient Heterogeneous UAV–UGV Search and Verification","source":"datacite","abstract":"Communication constraints can limit the scalability and resilience of heterogeneous robot teams operating in search-and-verification missions. This paper presents an event-triggered stigmergic coordination framework in which unmanned aerial vehicles (UAVs) patrol assigned sectors and deposit information into a shared digital-pheromone field only when relevant events occur. An unmanned ground vehicle (UGV) receives no target coordinates or direct task commands; instead, it selects and approaches targets using only the shared pheromone map. The framework was implemented using ROS 2, PX4 and Gazebo with three UAVs and one Husky UGV. The primary comparison evaluated event-triggered communication against continuous communication, while a periodic sensing-and-deposition policy was retained as a secondary benchmark. The study used 36 paired experimental blocks and 108 total runs. Relative to continuous communication, the event-triggered method reduced serialized pheromone payload bytes by 94.44% while satisfying prespecified noninferiority criteria for search-completion and mission-verification times. All 36 event-triggered missions completed successfully, with an exact one-sided 97.5% lower completion-probability bound of 90.26%, exceeding the prespecified 90% floor. Against the secondary periodic benchmark, the observed payload reduction was 47.30%, but its upper confidence bound did not satisfy the prespecified 50% superiority criterion. Because the frozen periodic implementation checked for target observations only when its transmission interval elapsed, that comparison combines sensing-opportunity and communication-policy differences. These results support event-triggered digital pheromones as a communication-efficient coordination mechanism relative to continuous communication under the evaluated idealized nominal simulation conditions.","url":"https://doi.org/10.5281/zenodo.22084982","authors":["Ogundipe, Oluwagbotemi"],"tags":["heterogeneous robot swarms","UAV–UGV coordination","digital pheromones","stigmergy","event-triggered communication","search and verification"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.22084982","addedAt":"2026-08-31T06:39:57.050Z","updatedAt":"2026-08-31T06:39:57.050Z"},{"id":"doi:10.5281/zenodo.22084983","name":"Event-Triggered Stigmergic Coordination for Communication-Efficient Heterogeneous UAV–UGV Search and Verification","source":"datacite","abstract":"Communication constraints can limit the scalability and resilience of heterogeneous robot teams operating in search-and-verification missions. This paper presents an event-triggered stigmergic coordination framework in which unmanned aerial vehicles (UAVs) patrol assigned sectors and deposit information into a shared digital-pheromone field only when relevant events occur. An unmanned ground vehicle (UGV) receives no target coordinates or direct task commands; instead, it selects and approaches targets using only the shared pheromone map. The framework was implemented using ROS 2, PX4 and Gazebo with three UAVs and one Husky UGV. The primary comparison evaluated event-triggered communication against continuous communication, while a periodic sensing-and-deposition policy was retained as a secondary benchmark. The study used 36 paired experimental blocks and 108 total runs. Relative to continuous communication, the event-triggered method reduced serialized pheromone payload bytes by 94.44% while satisfying prespecified noninferiority criteria for search-completion and mission-verification times. All 36 event-triggered missions completed successfully, with an exact one-sided 97.5% lower completion-probability bound of 90.26%, exceeding the prespecified 90% floor. Against the secondary periodic benchmark, the observed payload reduction was 47.30%, but its upper confidence bound did not satisfy the prespecified 50% superiority criterion. Because the frozen periodic implementation checked for target observations only when its transmission interval elapsed, that comparison combines sensing-opportunity and communication-policy differences. These results support event-triggered digital pheromones as a communication-efficient coordination mechanism relative to continuous communication under the evaluated idealized nominal simulation conditions.","url":"https://doi.org/10.5281/zenodo.22084983","authors":["Ogundipe, Oluwagbotemi"],"tags":["heterogeneous robot swarms","UAV–UGV coordination","digital pheromones","stigmergy","event-triggered communication","search and verification"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.22084983","addedAt":"2026-08-31T06:39:57.050Z","updatedAt":"2026-08-31T06:39:57.050Z"},{"id":"doi:10.5281/zenodo.21842998","name":"UAV-Based Digital Phenotyping for Quantification of Cotton Jassid (Amrasca biguttula) Injury and Identification of Putatively Resistant Cotton Lines","source":"datacite","abstract":"This repository contains processed data, images, and analysis scripts supporting the associated study of unmanned aerial vehicle (UAV)-based phenotyping for quantifying cotton jassid (Amrasca biguttula) injury severity. The repository is organized into two primary data packages: 1. UAV-derived phenotypic data and statistical analysisA ZIP archive containing the processed UAV-derived datasets used for statistical analyses, along with the R script used to perform the analyses. The datasets include vegetation metrics generated from combinations of vegetation indices, image segmentation methods, and summary statistics. These data were used for correlation analyses, predictor evaluation, multivariate regression, mixed-effects modeling, and identification of cotton lines exhibiting putative resistance to jassid-associated injury. The directory structure is preserved so the analysis can be run using the included relative file paths after extraction. 2. Quantitative segmentation accuracy analysisA ZIP archive containing the images and Python scripts used to quantitatively evaluate the accuracy of the image segmentation approaches examined in the study. The included workflow calculates standard segmentation performance metrics, including Precision, Recall, Accuracy, Specificity, F1 score, and mean Intersection over Union (mIoU), and generates the quantitative results used to compare segmentation performance. The directory structure and required files are preserved so the workflow can be run after extraction. Across the study, 241 UAV-derived predictors were evaluated from combinations of vegetation indices, segmentation methods, and summary statistics. These materials support both the evaluation of UAV-derived predictors against manually assigned injury ratings and the quantitative comparison of image segmentation approaches. The repository contains processed, analysis-ready data and reproducible computational workflows rather than the complete collection of raw UAV imagery. These materials are provided to support transparency and reproducibility of the analyses reported in the associated publication.","url":"https://doi.org/10.5281/zenodo.21842998","authors":["Bauer, Matthew Clemens","Wang, Rui-Feng","Beffart Schardong, Iago","Somala, Rama Vamsi","Xu, Mingrui","Samantha Jo Wan","CUI, Kangning","Campbell, B. Todd","Sansbury, Sarah H.","Paterson, Andrew H.","Roberts, Phillip M.","Li, Changying","Esquivel, Isaac L.","Taylor, Sally V.","Jones, Don C.","Chee, Peng W."],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.21842998","addedAt":"2026-08-31T06:39:57.050Z","updatedAt":"2026-08-31T06:39:57.050Z"},{"id":"doi:10.5281/zenodo.21842999","name":"UAV-Based Digital Phenotyping for Quantification of Cotton Jassid (Amrasca biguttula) Injury and Identification of Putatively Resistant Cotton Lines","source":"datacite","abstract":"This repository contains processed data, images, and analysis scripts supporting the associated study of unmanned aerial vehicle (UAV)-based phenotyping for quantifying cotton jassid (Amrasca biguttula) injury severity. The repository is organized into two primary data packages: 1. UAV-derived phenotypic data and statistical analysisA ZIP archive containing the processed UAV-derived datasets used for statistical analyses, along with the R script used to perform the analyses. The datasets include vegetation metrics generated from combinations of vegetation indices, image segmentation methods, and summary statistics. These data were used for correlation analyses, predictor evaluation, multivariate regression, mixed-effects modeling, and identification of cotton lines exhibiting putative resistance to jassid-associated injury. The directory structure is preserved so the analysis can be run using the included relative file paths after extraction. 2. Quantitative segmentation accuracy analysisA ZIP archive containing the images and Python scripts used to quantitatively evaluate the accuracy of the image segmentation approaches examined in the study. The included workflow calculates standard segmentation performance metrics, including Precision, Recall, Accuracy, Specificity, F1 score, and mean Intersection over Union (mIoU), and generates the quantitative results used to compare segmentation performance. The directory structure and required files are preserved so the workflow can be run after extraction. Across the study, 241 UAV-derived predictors were evaluated from combinations of vegetation indices, segmentation methods, and summary statistics. These materials support both the evaluation of UAV-derived predictors against manually assigned injury ratings and the quantitative comparison of image segmentation approaches. The repository contains processed, analysis-ready data and reproducible computational workflows rather than the complete collection of raw UAV imagery. These materials are provided to support transparency and reproducibility of the analyses reported in the associated publication.","url":"https://doi.org/10.5281/zenodo.21842999","authors":["Bauer, Matthew Clemens","Wang, Rui-Feng","Beffart Schardong, Iago","Somala, Rama Vamsi","Xu, Mingrui","Samantha Jo Wan","CUI, Kangning","Campbell, B. Todd","Sansbury, Sarah H.","Paterson, Andrew H.","Roberts, Phillip M.","Li, Changying","Esquivel, Isaac L.","Taylor, Sally V.","Jones, Don C.","Chee, Peng W."],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.21842999","addedAt":"2026-08-31T06:39:57.050Z","updatedAt":"2026-08-31T06:39:57.050Z"},{"id":"doi:10.5281/zenodo.20352054","name":"Design and Development of a Test Rig to Measure Performance Parameters of Aircraft Engine","source":"datacite","abstract":"This thesis discusses the design and development of a test rig to measure the performance parameters of an aircraft IC engine for various loading conditions and at various throttle levels. The engine used for this application is an UL350i engine developed and manufactured by UL Power. The UL350i is a four-cylinder, four-stroke horizontally opposed spark ignition engine. The test setup developed is a generic test rig which can be used to test any aircraft IC engine of similar design. Siemens NX is used for modelling of the components. These component models are then simulated for finite element analyses like static structural, modal and harmonic response in ANSYS 18.1. After studying the stress and deformation values in the initial designs, modifications were made to achieve a configuration whose stresses and deformations are under permissible values. All the analyses of the major components are well described in detail in this work. Though there have been major advancements in the aviation engines in terms of power and fuel consumptions, IC engines still are a reliable and powerful source of power for lightweight aircrafts and UAVs. Their compact size and easy maintenance make them perfect for Reconnaissance Drones and Aircrafts and also for Training Aircraft. This report also presents the working and applications of Propeller IC Engine Propulsion system for the Unmanned Aerial Vehicle (UAV) and Single-Seater Lightweight Aircrafts IC engines.","url":"https://doi.org/10.5281/zenodo.20352054","authors":["Atharva Basarkar"],"tags":["Aircraft Engine"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.20352054","addedAt":"2026-08-31T06:39:57.050Z","updatedAt":"2026-08-31T06:39:57.050Z"},{"id":"doi:10.5281/zenodo.20352055","name":"Design and Development of a Test Rig to Measure Performance Parameters of Aircraft Engine","source":"datacite","abstract":"This thesis discusses the design and development of a test rig to measure the performance parameters of an aircraft IC engine for various loading conditions and at various throttle levels. The engine used for this application is an UL350i engine developed and manufactured by UL Power. The UL350i is a four-cylinder, four-stroke horizontally opposed spark ignition engine. The test setup developed is a generic test rig which can be used to test any aircraft IC engine of similar design. Siemens NX is used for modelling of the components. These component models are then simulated for finite element analyses like static structural, modal and harmonic response in ANSYS 18.1. After studying the stress and deformation values in the initial designs, modifications were made to achieve a configuration whose stresses and deformations are under permissible values. All the analyses of the major components are well described in detail in this work. Though there have been major advancements in the aviation engines in terms of power and fuel consumptions, IC engines still are a reliable and powerful source of power for lightweight aircrafts and UAVs. Their compact size and easy maintenance make them perfect for Reconnaissance Drones and Aircrafts and also for Training Aircraft. This report also presents the working and applications of Propeller IC Engine Propulsion system for the Unmanned Aerial Vehicle (UAV) and Single-Seater Lightweight Aircrafts IC engines.","url":"https://doi.org/10.5281/zenodo.20352055","authors":["Atharva Basarkar"],"tags":["Aircraft Engine"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.20352055","addedAt":"2026-08-31T06:39:57.050Z","updatedAt":"2026-08-31T06:39:57.050Z"},{"id":"doi:10.5281/zenodo.21760942","name":"Advanced IoT-Integrated Systems for Intelligent Water Quality Monitoring in Aquaculture: Emerging Technologies, AI-Driven Analytics, and Future Perspectives","source":"datacite","abstract":"Between 2020 and 2025, the integration of Internet of Things (IoT) sensor networks into aquaculture water quality management has seen a transformational acceleration due to the convergence of advanced sensor miniaturization, edge computing, artificial intelligence (AI), and next-generation wireless connectivity. This paper expands on the basic bibliometric and systematic analysis of IoT sensor applications in aquaculture (Flores-Iwasaki et al., 2025), taking the knowledge frontier a step further by critically reviewing recent technologies such as 5G-enabled real-time monitoring, AI-driven digital twins, flexible nano sensors, federated learning frameworks, and autonomous unmanned aerial/aquatic vehicle (UAV/AUV) platforms. The parameters most monitored were still pH (100%), temperature (96.7%) and dissolved oxygen (79.4%) and attention increased to total ammonia nitrogen (TAN), nitrite, nitrate and chlorophyll-a in recirculating aquaculture systems (RAS) and integrated aquaponics. The key findings suggest that AI-aided predictive models, particularly Long Short-Term Memory (LSTM), Transformers, and ensemble methods, demonstrated water quality prediction accuracies exceeding 95% in controlled settings. Microcontrollers (TinyML) Edge AI deployment reduced cloud latency up to 87%, enabling near-instant anomaly detection. Identified key gaps are lack of automated TAN sensing in most commercial deployments, limited self-cleaning sensor maintenance mechanisms, and inequitable technology access in developing-nation aquaculture. Future research directions include AI-digital twin co-simulation, bio-inspired nano sensor arrays, and 5G-LPWAN hybrid architectures. Addressing these challenges is critical for the deployment of fully automated, sustainable and economically viable aquaculture ecosystems","url":"https://doi.org/10.5281/zenodo.21760942","authors":["Praful Nandankar","Prashantkumar V. Dhawas","Shilpa Kalambe"],"tags":["Artificial intelligence; Document intelligence; Deep Learning IoT; Water Quality Monitoring; Aquaculture; Artificial Intelligence; Digital Twins; 5G Connectivity; Nano sensors; Edge Computing; Machine Learning; Bio floc Technology; RAS; Aquaponics"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.21760942","addedAt":"2026-08-31T06:39:57.050Z","updatedAt":"2026-08-31T06:39:59.255Z"},{"id":"doi:10.5281/zenodo.21760943","name":"Advanced IoT-Integrated Systems for Intelligent Water Quality Monitoring in Aquaculture: Emerging Technologies, AI-Driven Analytics, and Future Perspectives","source":"datacite","abstract":"Between 2020 and 2025, the integration of Internet of Things (IoT) sensor networks into aquaculture water quality management has seen a transformational acceleration due to the convergence of advanced sensor miniaturization, edge computing, artificial intelligence (AI), and next-generation wireless connectivity. This paper expands on the basic bibliometric and systematic analysis of IoT sensor applications in aquaculture (Flores-Iwasaki et al., 2025), taking the knowledge frontier a step further by critically reviewing recent technologies such as 5G-enabled real-time monitoring, AI-driven digital twins, flexible nano sensors, federated learning frameworks, and autonomous unmanned aerial/aquatic vehicle (UAV/AUV) platforms. The parameters most monitored were still pH (100%), temperature (96.7%) and dissolved oxygen (79.4%) and attention increased to total ammonia nitrogen (TAN), nitrite, nitrate and chlorophyll-a in recirculating aquaculture systems (RAS) and integrated aquaponics. The key findings suggest that AI-aided predictive models, particularly Long Short-Term Memory (LSTM), Transformers, and ensemble methods, demonstrated water quality prediction accuracies exceeding 95% in controlled settings. Microcontrollers (TinyML) Edge AI deployment reduced cloud latency up to 87%, enabling near-instant anomaly detection. Identified key gaps are lack of automated TAN sensing in most commercial deployments, limited self-cleaning sensor maintenance mechanisms, and inequitable technology access in developing-nation aquaculture. Future research directions include AI-digital twin co-simulation, bio-inspired nano sensor arrays, and 5G-LPWAN hybrid architectures. Addressing these challenges is critical for the deployment of fully automated, sustainable and economically viable aquaculture ecosystems","url":"https://doi.org/10.5281/zenodo.21760943","authors":["Praful Nandankar","Prashantkumar V. Dhawas","Shilpa Kalambe"],"tags":["Artificial intelligence; Document intelligence; Deep Learning IoT; Water Quality Monitoring; Aquaculture; Artificial Intelligence; Digital Twins; 5G Connectivity; Nano sensors; Edge Computing; Machine Learning; Bio floc Technology; RAS; Aquaponics"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.21760943","addedAt":"2026-08-31T06:39:57.050Z","updatedAt":"2026-08-31T06:39:59.255Z"},{"id":"doi:10.17632/ww5gm6h8wd.1","name":"Study-level data for AI-enabled UAV path planning in photovoltaic inspection","source":"datacite","abstract":"","url":"https://doi.org/10.17632/ww5gm6h8wd.1","authors":["Asadabadi, Amirhossein"],"tags":["Artificial Intelligence Applications","Unmanned Aerial Vehicle (Space Vehicle)","Path Planning","Photovoltaic System Monitoring"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2027","doi":"10.17632/ww5gm6h8wd.1","addedAt":"2026-08-31T06:39:57.050Z","updatedAt":"2026-08-31T06:39:57.050Z"},{"id":"doi:10.17632/ww5gm6h8wd","name":"Study-level data for AI-enabled UAV path planning in photovoltaic inspection","source":"datacite","abstract":"","url":"https://doi.org/10.17632/ww5gm6h8wd","authors":["Asadabadi, Amirhossein"],"tags":["Artificial Intelligence Applications","Unmanned Aerial Vehicle (Space Vehicle)","Path Planning","Photovoltaic System Monitoring"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2027","doi":"10.17632/ww5gm6h8wd","addedAt":"2026-08-31T06:39:57.050Z","updatedAt":"2026-08-31T06:39:57.050Z"},{"id":"doi:10.17632/y3nv3ycdcv.1","name":"Synthetic RF Spectrograms and IQ Signals for UAV Detection (2.4 GHz band)","source":"datacite","abstract":"This dataset provides a comprehensive collection of radio frequency (RF) signals captured in the 2.4 GHz band for Unmanned Aerial Vehicle (UAV) detection and wireless communication classification. It contains 6,000 spectrogram images (.png) and 22,375 annotated instances across three distinct classes: Drone_Signal (DJI Phantom 4 Pro), WiFi (active and idle), and Bluetooth (frequency-hopping spread spectrum). The dataset is uniquely structured to support dual analysis pipelines. It includes both the processed time-frequency representations and the raw baseband In-phase/Quadrature (IQ) signals. The IQ signals are provided as NumPy arrays (.npy) generated through synthetic IQ generation frameworks based on the source time-frequency representations. Data acquisition was performed using a USRP B210 software-defined radio with a DJI Phantom 4 Pro as the transmitter, operating at a center frequency of 2.438 GHz. The sampling rate is primarily 56 MS/s, with variations at 30 and 40 MHz, and a receiver gain of 45 dB. The spectrograms were generated using a Short-Time Fourier Transform (STFT) with NFFT=512 and an overlap of 256, utilizing the Viridis colormap. Data was collected in both indoor (semi-controlled, high SNR) and outdoor (uncontrolled, multipath, low SNR) environments. The dataset folders are organized as follows: - iq_signals/: Raw and synthetic IQ signal files in NumPy (.npy) format. - signal_crops/ and images/: Spectrogram images in (.png) format. - labels/: YOLO-format annotation files (.txt). - classes.txt: Lists class IDs (0, 1, 2). - README.txt and License.txt: Detailed metadata and licensing information. Each annotation file follows the standard YOLO object detection format ( ). The images are directly compatible with YOLOv5 and YOLOv8 for object detection tasks, while the raw IQ signals are suitable for 1D Convolutional Neural Networks (CNN), Long Short-Term Memory (LSTM) networks, and signal processing experiments. This dataset serves as a valuable resource for developing robust machine learning models for RF sensing, spectrum monitoring, and anti-drone security systems.","url":"https://doi.org/10.17632/y3nv3ycdcv.1","authors":["ALOUI, Radhoine","Ghouil, chaima","Hamdi, bilel","Mhatli, Sofien","Llamas-Garro, Ignacio"],"tags":["Computer Science","Engineering","Electrical Engineering","Telecommunication","Signal Processing","Machine Learning"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.17632/y3nv3ycdcv.1","addedAt":"2026-08-31T06:39:57.050Z","updatedAt":"2026-08-31T06:39:57.050Z"},{"id":"doi:10.17632/y3nv3ycdcv","name":"Synthetic RF Spectrograms and IQ Signals for UAV Detection (2.4 GHz band)","source":"datacite","abstract":"This dataset provides a comprehensive collection of radio frequency (RF) signals captured in the 2.4 GHz band for Unmanned Aerial Vehicle (UAV) detection and wireless communication classification. It contains 6,000 spectrogram images (.png) and 22,375 annotated instances across three distinct classes: Drone_Signal (DJI Phantom 4 Pro), WiFi (active and idle), and Bluetooth (frequency-hopping spread spectrum). The dataset is uniquely structured to support dual analysis pipelines. It includes both the processed time-frequency representations and the raw baseband In-phase/Quadrature (IQ) signals. The IQ signals are provided as NumPy arrays (.npy) generated through synthetic IQ generation frameworks based on the source time-frequency representations. Data acquisition was performed using a USRP B210 software-defined radio with a DJI Phantom 4 Pro as the transmitter, operating at a center frequency of 2.438 GHz. The sampling rate is primarily 56 MS/s, with variations at 30 and 40 MHz, and a receiver gain of 45 dB. The spectrograms were generated using a Short-Time Fourier Transform (STFT) with NFFT=512 and an overlap of 256, utilizing the Viridis colormap. Data was collected in both indoor (semi-controlled, high SNR) and outdoor (uncontrolled, multipath, low SNR) environments. The dataset folders are organized as follows: - iq_signals/: Raw and synthetic IQ signal files in NumPy (.npy) format. - signal_crops/ and images/: Spectrogram images in (.png) format. - labels/: YOLO-format annotation files (.txt). - classes.txt: Lists class IDs (0, 1, 2). - README.txt and License.txt: Detailed metadata and licensing information. Each annotation file follows the standard YOLO object detection format ( ). The images are directly compatible with YOLOv5 and YOLOv8 for object detection tasks, while the raw IQ signals are suitable for 1D Convolutional Neural Networks (CNN), Long Short-Term Memory (LSTM) networks, and signal processing experiments. This dataset serves as a valuable resource for developing robust machine learning models for RF sensing, spectrum monitoring, and anti-drone security systems.","url":"https://doi.org/10.17632/y3nv3ycdcv","authors":["ALOUI, Radhoine","Ghouil, chaima","Hamdi, bilel","Mhatli, Sofien","Llamas-Garro, Ignacio"],"tags":["Computer Science","Engineering","Electrical Engineering","Telecommunication","Signal Processing","Machine Learning"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.17632/y3nv3ycdcv","addedAt":"2026-08-31T06:39:57.050Z","updatedAt":"2026-08-31T06:39:57.050Z"},{"id":"doi:10.5281/zenodo.21456369","name":"PRECIA-NG: A PRECISION CROP INTELLIGENCE AND ANALYTICS FRAMEWORK FOR NIGERIA Multispectral UAV Imaging, YOLOv8 Disease Detection, and Stacked Ensemble Yield Prediction for Maize, Rice, Sorghum, and Cassava","source":"datacite","abstract":"Nigeria loses an estimated 40% of annual crop production to diseases, pests, and post-harvest spoilage; a burden costing the sector over USD 9 billion annually. Smallholder farmers, who contribute more than 70% of national food output, lack access to timely and affordable disease diagnosis and yield advisory services. This paper introduces PRECIA-NG (Precision Crop Intelligence and Analytics for Nigeria), a multi-stage AI pipeline that fuses multispectral unmanned aerial vehicle (UAV) imagery with deep learning to simultaneously detect crop diseases and forecast yields across four principal staple crops: maize, rice, sorghum, and cassava. PRECIA-NG deploys YOLOv8m fine-tuned on a 15,200-image Nigerian field dataset for disease localisation, EfficientNet-B4 for leaf-level classification, and a stacked ensemble (LSTM + XGBoost + Random Forest with Ridge meta-learner) for Local Government Area (LGA)-level yield forecasting. On held-out test sets, PRECIA-NG achieves a disease detection macro-F1 of 89.6% and mAP@0.5 of 93.2%, alongside yield prediction R2 values of 0.864-0.931 with RMSE of 0.28-0.41 t/ha. A federated learning layer built on FedAvg enables privacy-preserving model aggregation across Nigeria's six geopolitical zones without centralising farmer data. The framework delivers an average 14-day early warning window, positioning PRECIA-NG as a deployable advisory tool for FMARD, NAERLS extension services, and TETFund-sponsored agricultural research programmes.","url":"https://doi.org/10.5281/zenodo.21456369","authors":["Sulaiman, J.","Hussain, M. M. A."],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.21456369","addedAt":"2026-08-31T06:39:57.050Z","updatedAt":"2026-08-31T06:39:57.050Z"},{"id":"doi:10.5281/zenodo.21456370","name":"PRECIA-NG: A PRECISION CROP INTELLIGENCE AND ANALYTICS FRAMEWORK FOR NIGERIA Multispectral UAV Imaging, YOLOv8 Disease Detection, and Stacked Ensemble Yield Prediction for Maize, Rice, Sorghum, and Cassava","source":"datacite","abstract":"Nigeria loses an estimated 40% of annual crop production to diseases, pests, and post-harvest spoilage; a burden costing the sector over USD 9 billion annually. Smallholder farmers, who contribute more than 70% of national food output, lack access to timely and affordable disease diagnosis and yield advisory services. This paper introduces PRECIA-NG (Precision Crop Intelligence and Analytics for Nigeria), a multi-stage AI pipeline that fuses multispectral unmanned aerial vehicle (UAV) imagery with deep learning to simultaneously detect crop diseases and forecast yields across four principal staple crops: maize, rice, sorghum, and cassava. PRECIA-NG deploys YOLOv8m fine-tuned on a 15,200-image Nigerian field dataset for disease localisation, EfficientNet-B4 for leaf-level classification, and a stacked ensemble (LSTM + XGBoost + Random Forest with Ridge meta-learner) for Local Government Area (LGA)-level yield forecasting. On held-out test sets, PRECIA-NG achieves a disease detection macro-F1 of 89.6% and mAP@0.5 of 93.2%, alongside yield prediction R2 values of 0.864-0.931 with RMSE of 0.28-0.41 t/ha. A federated learning layer built on FedAvg enables privacy-preserving model aggregation across Nigeria's six geopolitical zones without centralising farmer data. The framework delivers an average 14-day early warning window, positioning PRECIA-NG as a deployable advisory tool for FMARD, NAERLS extension services, and TETFund-sponsored agricultural research programmes.","url":"https://doi.org/10.5281/zenodo.21456370","authors":["Sulaiman, J.","Hussain, M. M. A."],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.21456370","addedAt":"2026-08-31T06:39:57.050Z","updatedAt":"2026-08-31T06:39:57.050Z"},{"id":"doi:10.5281/zenodo.22077253","name":"Geometry Optimization of Unmanned Aerial Vehicle (UAV) Hyperspectral Surveys for Water Quality Retrieval and Satellite Upscaling in Mining Impacted Waters (Chalkidiki and Kirki, Greece)","source":"datacite","abstract":"Dataset description: Monitoring water quality is a critical component of environmental management at mining sites worldwide. This dataset accompanies the manuscript, \"Geometry Optimization of Unmanned Aerial Vehicle (UAV) Hyperspectral Surveys for Water Quality Retrieval and Satellite Upscaling in Mining Impacted Waters\" It contains UAV-based visible and near-infrared (VNIR) spectra, associated metadata, and laboratory water chemistry data used in the study. Data collection and equipment: The dataset features Savitzky–Golay filtered reflectance spectra acquired over mining-impacted waters in the Kassandra and Kirki districts of Greece. The spectral data were collected using an Ocean Optics STS-VIS sensor (337–823 nm; 40 × 42 × 24 mm) mounted on a DJI Phantom 3 Advanced platform. Alongside the spectra, metadata is provided, including acquisition geometry (flight direction relative to water flow and solar azimuth) and site identifiers. For every sampling location, the spectral data are paired with corresponding laboratory measurements of water quality parameters, including total suspended solids (TSS), dissolved iron (diss Fe), and various other comprehensive hydrochemical analytes. Project context: Please note that this dataset includes data for only two of the three study areas discussed in the associated manuscript (Chalkidiki and Kirki). These two specific localities were surveyed as part of the MultiMiner project (European Union’s Horizon Europe research and innovations actions programme under Grant Agreement No. 101091374.). Dataset structure and file overview: Dataset_description.docx: A document providing an overview of the dataset and containing the detailed information presented in this text. Localities_of_water_samples_and_spectral_measurement.csv: A master spreadsheet containing geospatial and descriptive metadata for all sampling locations. It includes longitude, latitude, altitude, and a brief description of the water body type (e.g., stream, pool, lake). The dataset is organized into one summary file and two main directories: In_Situ_Spectrum (Folder): This directory contains 12 files comprising the spectral data from both the Kassandra and Kirki areas. The data within these files are organized by: Filter settings: Processed using three different Savitzky-Golay filter configurations. Flight direction: Categorized by the drone's flight path relative to the target (upstream, downstream, diagonal, as well as a combined/aggregated mean dataset). Lab_Analysis (Folder): This directory contains the results of the comprehensive laboratory water chemistry analyses for all sampled geographic points in Chalkidiki and Kirki. Sun_Position (Folder): This folder contains two files providing time-series sun position metrics for the Chalkidiki and Kirki study areas in Greece. Each record pairs UTC timestamps with solar geometry parameters including solar azimuth, and sun elevation computed for the specific site coordinates.","url":"https://doi.org/10.5281/zenodo.22077253","authors":["Kýhos, Martin","Jelenek, Jan","Kopačkova-Strnadová, Veronika","Gazea, Emmy","Zabokas, Giannis","Agali, Athina","Gounaris, Kostas","Galatsianou, Anastasia","Anastasatou, Marianthi","Liwata-Kenttälä, Pauliina","Laakso, Kati","Liakopoulos, Alexandros","Mavrogonatos, Constantinos"],"tags":["spectroscopy","water quality","mining","OceanOptics","spectral library","Chalkidiki","Kirki"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.22077253","addedAt":"2026-08-31T06:39:57.050Z","updatedAt":"2026-08-31T06:39:57.050Z"},{"id":"doi:10.5281/zenodo.22020725","name":"CXS-BirdNest Dataset: A Multi-scale UAV Image Dataset for Bird Nest Detection on Overhead Transmission Lines","source":"datacite","abstract":"CXS-BirdNest is a multi-scale unmanned aerial vehicle (UAV) image dataset developed for bird-nest detection on overhead transmission lines. The dataset reflects practical inspection conditions involving changes in observation distance, complex vegetation and tower backgrounds, partial occlusion, illumination variation, and limited target pixels in distant-view images. The original images were acquired using a DJI Mavic 2 Enterprise Advanced platform. The released original dataset contains 3,552 unaugmented UAV images, comprising 2,385 small-scale and 1,167 medium-scale samples. Bird-nest targets are annotated using YOLO-format bounding boxes. The annotation resources contain 5,402 text files corresponding to the final experimental dataset after training-set augmentation. Following the experimental protocol used in the associated study, the original images were stratified by target scale and divided into training, validation, and test subsets at a ratio of 8:1:1. The resulting subsets contained 2,842, 355, and 355 images, respectively. Data augmentation was applied only to the training subset, increasing it from 2,842 to 4,692 samples, while the validation and test subsets remained unchanged. The final experimental dataset therefore contained 5,402 samples. This procedure prevents augmented variants of the same source image from entering different subsets and preserves the independence of model evaluation. CXS-BirdNest is intended to support research on bird-nest detection, small- and multi-scale object detection, UAV-based transmission-line inspection, and computer vision for power-infrastructure monitoring. The dataset is released under the Creative Commons Attribution 4.0 International License (CC BY 4.0).","url":"https://doi.org/10.5281/zenodo.22020725","authors":["Li, Rui","Mei, Yaozhong"],"tags":["UAV imagery","small-object detection","bird-nest detection"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.22020725","addedAt":"2026-08-31T06:39:57.050Z","updatedAt":"2026-08-31T06:39:57.050Z"},{"id":"doi:10.5281/zenodo.22076927","name":"CXS-BirdNest Dataset: A Multi-scale UAV Image Dataset for Bird Nest Detection on Overhead Transmission Lines","source":"datacite","abstract":"CXS-BirdNest is a multi-scale unmanned aerial vehicle (UAV) image dataset developed for bird-nest detection on overhead transmission lines. The dataset reflects practical inspection conditions involving changes in observation distance, complex vegetation and tower backgrounds, partial occlusion, illumination variation, and limited target pixels in distant-view images. The original images were acquired using a DJI Mavic 2 Enterprise Advanced platform. The released original dataset contains 3,552 unaugmented UAV images, comprising 2,385 small-scale and 1,167 medium-scale samples. Bird-nest targets are annotated using YOLO-format bounding boxes. The annotation resources contain 5,402 text files corresponding to the final experimental dataset after training-set augmentation. Following the experimental protocol used in the associated study, the original images were stratified by target scale and divided into training, validation, and test subsets at a ratio of 8:1:1. The resulting subsets contained 2,842, 355, and 355 images, respectively. Data augmentation was applied only to the training subset, increasing it from 2,842 to 4,692 samples, while the validation and test subsets remained unchanged. The final experimental dataset therefore contained 5,402 samples. This procedure prevents augmented variants of the same source image from entering different subsets and preserves the independence of model evaluation. CXS-BirdNest is intended to support research on bird-nest detection, small- and multi-scale object detection, UAV-based transmission-line inspection, and computer vision for power-infrastructure monitoring. The dataset is released under the Creative Commons Attribution 4.0 International License (CC BY 4.0).","url":"https://doi.org/10.5281/zenodo.22076927","authors":["Li, Rui","Mei, Yaozhong"],"tags":["UAV imagery","small-object detection","bird-nest detection"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.22076927","addedAt":"2026-08-31T06:39:57.050Z","updatedAt":"2026-08-31T06:39:57.050Z"},{"id":"doi:10.5281/zenodo.22077201","name":"Geometry Optimization of Unmanned Aerial Vehicle (UAV) Hyperspectral Surveys for Water Quality Retrieval and Satellite Upscaling in Mining Impacted Waters (Pyrite Belt, Spain)","source":"datacite","abstract":"Dataset description: Monitoring water quality is a critical component of environmental management at mining sites worldwide. This dataset accompanies the manuscript, \" Geometry Optimization of Unmanned Aerial Vehicle (UAV) Hyperspectral Surveys for Water Quality Retrieval and Satellite Upscaling in Mining Impacted Waters.\" It contains UAV-based visible and near-infrared (VNIR) spectra, associated metadata, and laboratory water chemistry data used in the study. Data collection and equipment: The dataset features Savitzky–Golay filtered reflectance spectra acquired over mining-impacted waters in the Pyrite Belt in Spain. The spectral data were collected using an Ocean Optics STS-VIS sensor (337–823 nm; 40 × 42 × 24 mm) mounted on a DJI Phantom 3 Advanced platform. Alongside the spectra, detailed metadata is provided, including acquisition geometry (flight direction relative to water flow and solar azimuth) and site identifiers. For every sampling location, the spectral data are paired with corresponding laboratory measurements of water quality parameters, including total suspended solids (TSS), dissolved iron (diss Fe), and various other comprehensive hydrochemical analytes. Project context: Please note that this dataset includes data for only one of the three study areas discussed in the associated manuscript (Pyrite Belt). This specific locality was surveyed as part of the Mineye project (European Union’s Horizon Europe research and innovations actions programme under Grant Agreement No. 101138456). Dataset structure and file overview: Dataset_description.docx: A document providing an overview of the dataset and containing the detailed information presented in this text. Localities_of_water_samples_and_spectral_measurement.csv: A master spreadsheet containing geospatial and descriptive metadata for all sampling locations. It includes longitude, latitude, altitude, and a brief description of the water body type (e.g., stream, pool, lake). The dataset is organized into one summary file and two main directories: In_Situ_Spectrum (Folder): This directory contains 12 files comprising the spectral data from the Pyrite Belt. The data within these files are organized by: Filter settings: Processed using three different Savitzky-Golay filter configurations. Flight direction: Categorized by the drone's flight path relative to the target (upstream, downstream, diagonal, as well as a combined/aggregated mean dataset). Pyrite_Belt_Water_Lab_Analysis.csv: This CSV file contains the results of the comprehensive laboratory water chemistry analyses for all sampled geographic points in Pyrite Belt in Spain. Pyrite_Belt_Sun_Position.csv: This CSV file provides a time series of solar position geometry for the Iberian Pyrite Belt region. It pairs UTC timestamps with site-specific solar azimuth and sun elevation values.","url":"https://doi.org/10.5281/zenodo.22077201","authors":["Kýhos, Martin","Jelenek, Jan","Kořínková, Barbora","López, Martín","Tenorio Matanzo, Sergio","Kopačkova-Strnadová, Veronika"],"tags":["spectroscopy","water quality","mining","OceanOptics","spectral library","Pyrite Belt"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.22077201","addedAt":"2026-08-31T06:39:57.050Z","updatedAt":"2026-08-31T06:39:57.050Z"},{"id":"doi:10.5281/zenodo.20507163","name":"Geometry Optimization of Unmanned Aerial Vehicle (UAV) Hyperspectral Surveys for Water Quality Retrieval and Satellite Upscaling in Mining Impacted Waters (Pyrite Belt, Spain)","source":"datacite","abstract":"Dataset description: Monitoring water quality is a critical component of environmental management at mining sites worldwide. This dataset accompanies the manuscript, \" Geometry Optimization of Unmanned Aerial Vehicle (UAV) Hyperspectral Surveys for Water Quality Retrieval and Satellite Upscaling in Mining Impacted Waters.\" It contains UAV-based visible and near-infrared (VNIR) spectra, associated metadata, and laboratory water chemistry data used in the study. Data collection and equipment: The dataset features Savitzky–Golay filtered reflectance spectra acquired over mining-impacted waters in the Pyrite Belt in Spain. The spectral data were collected using an Ocean Optics STS-VIS sensor (337–823 nm; 40 × 42 × 24 mm) mounted on a DJI Phantom 3 Advanced platform. Alongside the spectra, detailed metadata is provided, including acquisition geometry (flight direction relative to water flow and solar azimuth) and site identifiers. For every sampling location, the spectral data are paired with corresponding laboratory measurements of water quality parameters, including total suspended solids (TSS), dissolved iron (diss Fe), and various other comprehensive hydrochemical analytes. Project context: Please note that this dataset includes data for only one of the three study areas discussed in the associated manuscript (Pyrite Belt). This specific locality was surveyed as part of the Mineye project (European Union’s Horizon Europe research and innovations actions programme under Grant Agreement No. 101138456). Dataset structure and file overview: Dataset_description.docx: A document providing an overview of the dataset and containing the detailed information presented in this text. Localities_of_water_samples_and_spectral_measurement.csv: A master spreadsheet containing geospatial and descriptive metadata for all sampling locations. It includes longitude, latitude, altitude, and a brief description of the water body type (e.g., stream, pool, lake). The dataset is organized into one summary file and two main directories: In_Situ_Spectrum (Folder): This directory contains 12 files comprising the spectral data from the Pyrite Belt. The data within these files are organized by: Filter settings: Processed using three different Savitzky-Golay filter configurations. Flight direction: Categorized by the drone's flight path relative to the target (upstream, downstream, diagonal, as well as a combined/aggregated mean dataset). Pyrite_Belt_Water_Lab_Analysis.csv: This CSV file contains the results of the comprehensive laboratory water chemistry analyses for all sampled geographic points in Pyrite Belt in Spain. Pyrite_Belt_Sun_Position.csv: This CSV file provides a time series of solar position geometry for the Iberian Pyrite Belt region. It pairs UTC timestamps with site-specific solar azimuth and sun elevation values.","url":"https://doi.org/10.5281/zenodo.20507163","authors":["Kýhos, Martin","Jelenek, Jan","Kořínková, Barbora","López, Martín","Tenorio Matanzo, Sergio","Kopačkova-Strnadová, Veronika"],"tags":["spectroscopy","water quality","mining","OceanOptics","spectral library","Pyrite Belt"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.20507163","addedAt":"2026-08-31T06:39:57.050Z","updatedAt":"2026-08-31T06:39:57.050Z"},{"id":"doi:10.60893/figshare.apm.c.8645055","name":"<strong>Transparent</strong><strong><strong>, </strong></strong><strong><strong>anti-freezing</strong></strong><strong><strong> and flexible</strong></strong><strong><strong> organogel</strong></strong><strong><strong> </strong></strong><strong><strong>for electromagnetic wave absorption</strong></strong>","source":"datacite","abstract":"Abstract: The growing deployment of transparent and flexible electronics in complex electromagnetic environments, particularly on military platforms, calls for novel materials that combine efficient electromagnetic wave (EMWs) absorption, high optical transparency, outstanding flexibility and robust environmental stability. However, conventional EMWs absorbers are typically opaque, rigid, and environmentally unstable. These limitations make them unsuitable for transparent and flexible stealth applications on complex-curved surfaces such as fighter canopies and optical sighting windows. In this work, a transparent organogel was fabricated via UV-initiated polymerization using the zwitterionic sulfobetaine methacrylate monomer, ethylene glycol as solvent, and LiCl as the ionic dopant. The abundant zwitterionic groups in the gel generate dipolar polarization loss, while the dissociated Li⁺ and Cl⁻ ions induce conduction loss, which two effects act synergistically to establish an efficient dual-loss mechanism for attenuating incident electromagnetic waves. The optimized organogel achieves an effective absorption bandwidth of 6.04 GHz at a thin matching thickness of approximately 2.05 mm, together with a minimum reflection loss of -58.2 dB. Furthermore, the material exhibits a combination of attractive properties, including high visible-light transmittance of ~88%, outstanding flexibility with a elongation at break up to 185%, and excellent anti-freezing performance with a glass transition temperature of approximately -123.7℃. This work provides a feasible strategy for designing transparent, flexible electromagnetic stealth materials that can conformally adhere to complex curved surfaces while integrating high optical transparency and efficient microwave absorption, demonstrating broad application prospects in military equipment such as fighter canopies, reconnaissance windows, and unmanned aerial vehicle skins.","url":"https://doi.org/10.60893/figshare.apm.c.8645055","authors":["Hongjing Wu","Youan Xu","Junfeng Fu","Wei Cai","Yi Liang"],"tags":["Engineering"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.60893/figshare.apm.c.8645055","addedAt":"2026-08-31T06:39:57.050Z","updatedAt":"2026-08-31T06:39:57.050Z"},{"id":"doi:10.48550/arxiv.2603.28938","name":"Optimistic Online LQR via Intrinsic Rewards","source":"datacite","abstract":"Optimism in the face of uncertainty is a popular approach to balance exploration and exploitation in reinforcement learning. Here, we consider the online linear quadratic regulator (LQR) problem, i.e., to learn the LQR corresponding to an unknown linear dynamical system by adapting the control policy online based on closed-loop data collected during operation. In this work, we propose Intrinsic Rewards LQR (IR-LQR), an optimistic online LQR algorithm that applies the idea of intrinsic rewards originating from reinforcement learning and the concept of variance regularization to promote uncertainty-driven exploration. IR-LQR typically retains the structure of a standard LQR synthesis problem by only modifying the cost function, resulting in an intuitively pleasing, simple, computationally cheap, and efficient algorithm. This is in contrast to existing optimistic online LQR formulations that rely on more complicated iterative search algorithms or solve computationally demanding optimization problems. We show that IR-LQR achieves the optimal worst-case regret rate of $\\sqrt{T}$, and compare it to various state-of-the-art online LQR algorithms via numerical experiments carried out on an aircraft pitch angle control and an unmanned aerial vehicle example.","url":"https://doi.org/10.48550/arxiv.2603.28938","authors":["Bartos, Marcell","Lee, Bruce D.","Treven, Lenart","Krause, Andreas","Dörfler, Florian","Zeilinger, Melanie N."],"tags":["Systems and Control (eess.SY)","Machine Learning (cs.LG)","Optimization and Control (math.OC)","FOS: Electrical engineering, electronic engineering, information engineering","FOS: Computer and information sciences","FOS: Mathematics"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.48550/arxiv.2603.28938","addedAt":"2026-08-31T06:39:57.050Z","updatedAt":"2026-08-31T06:39:57.050Z"},{"id":"doi:10.48550/arxiv.2608.20906","name":"A Safety-Driven Architectural Framework for Fail-Operational Drone Swarms in Critical Missions","source":"datacite","abstract":"The certification of Unmanned Aerial Vehicle (UAV) swarms for safety-critical operations requires verifiable design assurance. Airworthiness standards demand deterministic reliability, whereas multi-agent coordination algorithms execute non-deterministic models. This paper proposes a mixed-criticality architectural framework that applies SAE ARP4754B methods to swarm reconfiguration. First, a hardware-isolated Safety Monitor functions as a Run-Time Assurance (RTA) gateway, decoupling the flight-critical core from the non-deterministic Swarm Manager. Second, the monitor enforces formal safety contracts based on agent Health Vectors derived systematically from a Functional Hazard Assessment (FHA). Third, the framework propagates these Health Vectors to the collective planner to trigger fail-operational task reallocation, enabling intelligent swarm behaviors without compromising flight-critical isolation. Markov reliability modeling demonstrates that the $10^{-7}$ failures per flight hour Hazardous target is theoretically achievable for our SAIL IV scenario, provided the Safety Monitor meets $C_{monitor}&gt;0.9991$, consistent with DAL B CMD/MON implementations.","url":"https://doi.org/10.48550/arxiv.2608.20906","authors":["Giacomossi, Luiz","Yigit, Zafer","Shakarna, Marwan","Saleemi, Shoaib","Tomasic, Ivan","Çurüklü, Baran","Forsberg, Håkan"],"tags":["Systems and Control (eess.SY)","Multiagent Systems (cs.MA)","Robotics (cs.RO)","FOS: Electrical engineering, electronic engineering, information engineering","FOS: Computer and information sciences"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.48550/arxiv.2608.20906","addedAt":"2026-08-31T06:39:57.050Z","updatedAt":"2026-08-31T06:40:08.031Z"},{"id":"doi:10.17632/rv2c7768hp.1","name":"Replication package: Flight Authorization Limits Emissions Abatement in Truck--Drone Last-Mile Delivery","source":"datacite","abstract":"Code and results supporting the article of the same name, on how airspace flight authorization limits the emissions abatement achievable by hybrid truck-drone last-mile delivery. The code implements a multi-objective truck-UAV routing model in which emissions are an output of the routing decision rather than an assumption about it: a momentum-theory energy model with payload dependence in place of a distance proxy, well-to-wheel emissions accounting, an explicit truck-only counterfactual solved on the same instances, and SORA-derived authorization limits entering as arc eligibility. Twelve operating scenarios vary the authorization ceiling, population density, and whether a sheltering mitigation is claimed, repeated across five independently generated service areas. Solutions come from NSGA-II and MOPSO over a shared random-key encoding, validated against proven optima from a mixed-integer program on small instances. CONTENTS. code/ holds the model package (tdrp/) and the scripts that produce every reported result: run_multigeo.py for the main experiment, run_evan.py for the electric-van counterfactual, seed_scaling.py for the measurement-resolution diagnostic, run_validation.py and test_validation.py for validation against exact optima, and make_figs_multigeo.py, make_figs_converged.py and make_fronts.py for the figures. results/ holds the result files behind every table and figure. ASSUMPTIONS_REGISTER.md documents each modelling choice and its provenance. The reported emissions results are in results/results_multigeo_50seed.json: five service areas, twelve scenarios each, 2000 generations, 50 seeds, with the truck-only counterfactual solved once per seed and selected on minimum cost. Reproduction requires Python 3.10 or newer with NumPy pinned to 2.4.4; NumPy gives no guarantee that its random streams are stable across versions, so a different version changes every seeded run. code/HOW_TO_RUN.md gives step-by-step commands, the expected output at each stage, and the values to check against. Instances are determined entirely by customer count, scenario and random seed, so any result regenerates exactly on a matching environment.","url":"https://doi.org/10.17632/rv2c7768hp.1","authors":["Mahmoodi, Armin","Davoodi, Mehdi","Sajadi, Seyed Mojtaba","Torkamani, Elnaz","Easa, Said"],"tags":["Sustainability","Multi-Objective Optimization","Logistics","Unmanned Aerial Vehicle (Space Vehicle)","Emissions"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.17632/rv2c7768hp.1","addedAt":"2026-08-31T06:39:57.050Z","updatedAt":"2026-08-31T06:39:57.050Z"},{"id":"doi:10.17632/rv2c7768hp","name":"Replication package: Flight Authorization Limits Emissions Abatement in Truck--Drone Last-Mile Delivery","source":"datacite","abstract":"Code and results supporting the article of the same name, on how airspace flight authorization limits the emissions abatement achievable by hybrid truck-drone last-mile delivery. The code implements a multi-objective truck-UAV routing model in which emissions are an output of the routing decision rather than an assumption about it: a momentum-theory energy model with payload dependence in place of a distance proxy, well-to-wheel emissions accounting, an explicit truck-only counterfactual solved on the same instances, and SORA-derived authorization limits entering as arc eligibility. Twelve operating scenarios vary the authorization ceiling, population density, and whether a sheltering mitigation is claimed, repeated across five independently generated service areas. Solutions come from NSGA-II and MOPSO over a shared random-key encoding, validated against proven optima from a mixed-integer program on small instances. CONTENTS. code/ holds the model package (tdrp/) and the scripts that produce every reported result: run_multigeo.py for the main experiment, run_evan.py for the electric-van counterfactual, seed_scaling.py for the measurement-resolution diagnostic, run_validation.py and test_validation.py for validation against exact optima, and make_figs_multigeo.py, make_figs_converged.py and make_fronts.py for the figures. results/ holds the result files behind every table and figure. ASSUMPTIONS_REGISTER.md documents each modelling choice and its provenance. The reported emissions results are in results/results_multigeo_50seed.json: five service areas, twelve scenarios each, 2000 generations, 50 seeds, with the truck-only counterfactual solved once per seed and selected on minimum cost. Reproduction requires Python 3.10 or newer with NumPy pinned to 2.4.4; NumPy gives no guarantee that its random streams are stable across versions, so a different version changes every seeded run. code/HOW_TO_RUN.md gives step-by-step commands, the expected output at each stage, and the values to check against. Instances are determined entirely by customer count, scenario and random seed, so any result regenerates exactly on a matching environment.","url":"https://doi.org/10.17632/rv2c7768hp","authors":["Mahmoodi, Armin","Davoodi, Mehdi","Sajadi, Seyed Mojtaba","Torkamani, Elnaz","Easa, Said"],"tags":["Sustainability","Multi-Objective Optimization","Logistics","Unmanned Aerial Vehicle (Space Vehicle)","Emissions"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.17632/rv2c7768hp","addedAt":"2026-08-31T06:39:57.050Z","updatedAt":"2026-08-31T06:39:57.050Z"},{"id":"doi:10.5281/zenodo.19466714","name":"Machine Learning-Based Cyber Attack Detection Framework For Secure Unmanned Aerial Vehicle (UAV) Communication Networks","source":"datacite","abstract":"Unmanned Aerial Vehicles (UAVs), commonly known as drones, are increasingly used in various applications such as surveillance, logistics, environmental monitoring, and disaster management. Despite their numerous benefits, the rapid adoption of UAV systems has introduced significant cybersecurity challenges. UAV communication networks are vulnerable to different types of cyber threats including GPS spoofing, data injection attacks, and network intrusions, which can compromise system functionality, mission objectives, and data security. To address these challenges, this study proposes a machine learning-based framework for detecting cyber attacks in UAV systems. The proposed approach combines supervised and unsupervised learning techniques to analyse UAV telemetry data, communication signals, and operational parameters in real time. By performing behavioural analysis and anomaly detection, the system can identify abnormal patterns and isolate potential cyber threats with high accuracy and minimal false positives. Experimental evaluation demonstrates that the proposed framework can effectively detect various attack scenarios while maintaining efficient response time and reliable performance. The integration of machine learning techniques into UAV cybersecurity systems provides a robust solution for enhancing the safety and reliability of drone communication networks.","url":"https://doi.org/10.5281/zenodo.19466714","authors":["Dr Manjula Devarakonda Venkata","Vasa Neeharikasri","Vudatha Rama Subrahmanyam","Suravarapu Venkatesh","Malagala Pavan","Mattaparthi Jaya Praneeth"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.19466714","addedAt":"2026-08-31T06:39:57.050Z","updatedAt":"2026-08-31T06:39:57.050Z"},{"id":"doi:10.5281/zenodo.20414946","name":"Leveraging UAV Autonomy for Minimum 4D Flight Authorization Volumes","source":"datacite","abstract":"The increasing UAV traffic in urban areas has prompted the creation of U-space, an EASA framework for safe and efficient unmanned aerial vehicle (UAV) operations. Within this context, this work presents a flight authorization framework that leverages autonomous UAVs, using their motion models and control characteristics to improve authorization efficiency. In the proposed framework, probabilistic spatial-temporal envelopes are generated to predict future UAV locations within a desired confidence level, and this information is then used to determine the minimum 4D operational volumes that form a valid authorization request for the mission. By reserving only the necessary airspace, the approach enhances capacity and supports simultaneous UAV operations. Simulations comparing the proposed method with a conventional rule-based strategy demonstrate consistently more compact and efficient airspace reservations across a range of mission types.","url":"https://doi.org/10.5281/zenodo.20414946","authors":["Vitale, Christian","Grigoriou, Yiannis","Kolios, Panayiotis","Ellinas, Georgios"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.20414946","addedAt":"2026-08-31T06:39:57.050Z","updatedAt":"2026-08-31T06:39:57.050Z"},{"id":"doi:10.5281/zenodo.13467363","name":"Ears in the Sky: Potential of Drones for the Bioacoustic Monitoring of Birds and Bats","source":"datacite","abstract":"(Uploaded by Plazi for the Bat Literature Project) In the context of global biodiversity loss, wildlife population monitoring is a major challenge. Some innovative techniques such as the use of drones—also called unmanned aerial vehicle/system (UAV/UAS)—offer promising opportunities. The potential of UAS-based wildlife census using high-resolution imagery is now well established for terrestrial mammals or birds that can be seen on images. Nevertheless, the ability of UASs to detect non-conspicuous species, such as small birds below the forest canopy, remains an open question. This issue can be solved with bioacoustics for acoustically active species such as bats and birds. In this context, UASs represent an interesting solution that could be deployed on a larger scale, at lower risk for the operator, and over hard-toreach locations, such as forest canopies or complex topographies, when compared with traditional protocols (fixed location recorders placed or handled by human operators). In this context, this study proposes a methodological framework to assess the potential of UASs in bioacoustic surveys for birds and bats, using low-cost audible and ultrasound recorders mounted on a low-cost quadcopter UAS (DJI Phantom 3 Pro). The proposed methodological workflow can be straightforwardly replicated in other contexts to test the impact of other UAS bioacoustic recording platforms in relation to the targeted species and the specific UAS design. This protocol allows one to evaluate the sensitivity of UAS approaches through the estimate of the effective detection radius for the different species investigated at several flight heights. The results of this study suggest a strong potential for the bioacoustic monitoring of birds but are more contrasted for bat recordings, mainly due to quadcopter noise (i.e., electronic speed controller (ESC) noise) but also, in a certain manner, to the experimental design (use of a directional speaker with limited call intensity). Technical developments, such as the use of a winch to safely extent the distance between the UAS and the recorder during UAS sound recordings or the development of an innovative platform, such as a plane–blimp hybrid UAS, should make it possible to solve these issues.","url":"https://doi.org/10.5281/zenodo.13467363","authors":["Michez, Adrien","Broset, Stéphane","Lejeune, Philippe"],"tags":["Biodiversity","Mammalia","Chiroptera","Chordata","Animalia","bats","bat"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2021","doi":"10.5281/zenodo.13467363","addedAt":"2026-08-31T06:39:57.050Z","updatedAt":"2026-08-31T06:39:57.050Z"},{"id":"doi:10.5281/zenodo.13467364","name":"Ears in the Sky: Potential of Drones for the Bioacoustic Monitoring of Birds and Bats","source":"datacite","abstract":"(Uploaded by Plazi for the Bat Literature Project) In the context of global biodiversity loss, wildlife population monitoring is a major challenge. Some innovative techniques such as the use of drones—also called unmanned aerial vehicle/system (UAV/UAS)—offer promising opportunities. The potential of UAS-based wildlife census using high-resolution imagery is now well established for terrestrial mammals or birds that can be seen on images. Nevertheless, the ability of UASs to detect non-conspicuous species, such as small birds below the forest canopy, remains an open question. This issue can be solved with bioacoustics for acoustically active species such as bats and birds. In this context, UASs represent an interesting solution that could be deployed on a larger scale, at lower risk for the operator, and over hard-toreach locations, such as forest canopies or complex topographies, when compared with traditional protocols (fixed location recorders placed or handled by human operators). In this context, this study proposes a methodological framework to assess the potential of UASs in bioacoustic surveys for birds and bats, using low-cost audible and ultrasound recorders mounted on a low-cost quadcopter UAS (DJI Phantom 3 Pro). The proposed methodological workflow can be straightforwardly replicated in other contexts to test the impact of other UAS bioacoustic recording platforms in relation to the targeted species and the specific UAS design. This protocol allows one to evaluate the sensitivity of UAS approaches through the estimate of the effective detection radius for the different species investigated at several flight heights. The results of this study suggest a strong potential for the bioacoustic monitoring of birds but are more contrasted for bat recordings, mainly due to quadcopter noise (i.e., electronic speed controller (ESC) noise) but also, in a certain manner, to the experimental design (use of a directional speaker with limited call intensity). Technical developments, such as the use of a winch to safely extent the distance between the UAS and the recorder during UAS sound recordings or the development of an innovative platform, such as a plane–blimp hybrid UAS, should make it possible to solve these issues.","url":"https://doi.org/10.5281/zenodo.13467364","authors":["Michez, Adrien","Broset, Stéphane","Lejeune, Philippe"],"tags":["Biodiversity","Mammalia","Chiroptera","Chordata","Animalia","bats","bat"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2021","doi":"10.5281/zenodo.13467364","addedAt":"2026-08-31T06:39:57.050Z","updatedAt":"2026-08-31T06:39:57.050Z"},{"id":"doi:10.5281/zenodo.21795083","name":"Drone-Helper: cross-dataset YOLOv8 fire and smoke detection — trained models, evaluation outputs and audit artefacts","source":"datacite","abstract":"Drone-Helper: cross-dataset YOLOv8 fire and smoke detection — trained models, evaluation outputs and audit artefacts Companion deposit for the manuscript: Ruangsang, W.; Pramkeaw, P. Cross-Dataset Evaluation of YOLOv8 for Unmanned Aerial Vehicle Fire and Smoke Detection: Benchmark Contamination, Zero-Shot Transfer, and Onboard Deployment on a Low-Cost Airframe. Submitted to Drones (MDPI), manuscript drones-4441317. Contents drone-helper-weights.zip — the twelve trained checkpoints (best.pt), one per run, named __ __seed : YOLOv8n/s/m x seeds 0-2 on D-Fire, YOLOv8n/s/m x seed 0 on FASDD_UAV. Each run folder also carries its complete Ultralytics configuration (args.yaml) and per-epoch training log (results.csv). drone-helper-results.zip — the raw evaluation tables behind every number in the paper: results_indomain.csv (validation and official-test-split metrics, Table 6), results_crossdataset.csv (the 2x2 zero-shot matrix, Table 7), results_dedup.csv (full / clean / dup evaluations, Table 9), and environment.json (Python, PyTorch 2.2.2+cu121, CUDA 12.1, cuDNN 8902, Ultralytics 8.4.70, GPU, and the complete pip freeze). drone-helper-dedup.zip — the near-duplicate contamination audit and its correction: per-image 64-bit perceptual hashes for every train and test image of both corpora (phash_cache/), the exact clean/dup test image lists and data yamls (subsets/), the evaluation script (eval_dedup.py), and the audit reports (Tables 8 and 9 of the paper). drone-helper-datasets-scripts.zip — dataset provenance and rebuild tooling: the unmodified official split-definition files, split provenance notes including the FASDD_UAV class-index remap (0=smoke, 1=fire), dataset build scripts that verify counts and abort on mismatch, the audit script, and the training and evaluation driver (train_plan_rtx3060.py). Source imagery (not redistributed here) D-Fire (21,527 images, CC0 1.0): github.com/gaia-solutions-on-demand/DFireDataset — archive used: D-Fire.zip, 3,036,222,313 bytes. FASDD_UAV (25,097 images, CC BY-SA 4.0): Science Data Bank, https://doi.org/10.57760/sciencedb.j00104.00103 — archive used: FASDD_UAV.zip, md5 c5ea9651ca672fc128c6f17d0797c2f2. Licence CC BY-SA 4.0. The FASDD_UAV-trained checkpoints derive from data released under CC BY-SA 4.0; the share-alike term is therefore applied to the whole record. Attribute FASDD to Wang et al. (Geo-Spatial Information Science 28(2):511-526, 2025) and D-Fire to de Venancio et al. (Neural Computing and Applications 34:15349-15368, 2022). Reproducing Download both corpora from their original sources above. Rebuild the exact splits: python scripts/build_dfire.py, python scripts/build_fasdd.py (both verify image counts and label indices, and abort on mismatch). Retrain or evaluate: python scripts/train_plan_rtx3060.py --check then --profile lean; the cross-dataset matrix alone: --matrix-only. Contamination-corrected evaluation: python dedup_analysis/eval_dedup.py.","url":"https://doi.org/10.5281/zenodo.21795083","authors":["Ruangsang, Watchara","Pramkeaw, Patiyuth"],"tags":["YOLOv8","fire detection","smoke detection","UAV","cross-dataset generalisation","benchmark contamination","D-Fire","FASDD"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.21795083","addedAt":"2026-08-31T06:39:57.050Z","updatedAt":"2026-08-31T06:39:59.255Z"},{"id":"doi:10.5281/zenodo.21795084","name":"Drone-Helper: cross-dataset YOLOv8 fire and smoke detection — trained models, evaluation outputs and audit artefacts","source":"datacite","abstract":"Drone-Helper: cross-dataset YOLOv8 fire and smoke detection — trained models, evaluation outputs and audit artefacts Companion deposit for the manuscript: Ruangsang, W.; Pramkeaw, P. Cross-Dataset Evaluation of YOLOv8 for Unmanned Aerial Vehicle Fire and Smoke Detection: Benchmark Contamination, Zero-Shot Transfer, and Onboard Deployment on a Low-Cost Airframe. Submitted to Drones (MDPI), manuscript drones-4441317. Contents drone-helper-weights.zip — the twelve trained checkpoints (best.pt), one per run, named __ __seed : YOLOv8n/s/m x seeds 0-2 on D-Fire, YOLOv8n/s/m x seed 0 on FASDD_UAV. Each run folder also carries its complete Ultralytics configuration (args.yaml) and per-epoch training log (results.csv). drone-helper-results.zip — the raw evaluation tables behind every number in the paper: results_indomain.csv (validation and official-test-split metrics, Table 6), results_crossdataset.csv (the 2x2 zero-shot matrix, Table 7), results_dedup.csv (full / clean / dup evaluations, Table 9), and environment.json (Python, PyTorch 2.2.2+cu121, CUDA 12.1, cuDNN 8902, Ultralytics 8.4.70, GPU, and the complete pip freeze). drone-helper-dedup.zip — the near-duplicate contamination audit and its correction: per-image 64-bit perceptual hashes for every train and test image of both corpora (phash_cache/), the exact clean/dup test image lists and data yamls (subsets/), the evaluation script (eval_dedup.py), and the audit reports (Tables 8 and 9 of the paper). drone-helper-datasets-scripts.zip — dataset provenance and rebuild tooling: the unmodified official split-definition files, split provenance notes including the FASDD_UAV class-index remap (0=smoke, 1=fire), dataset build scripts that verify counts and abort on mismatch, the audit script, and the training and evaluation driver (train_plan_rtx3060.py). Source imagery (not redistributed here) D-Fire (21,527 images, CC0 1.0): github.com/gaia-solutions-on-demand/DFireDataset — archive used: D-Fire.zip, 3,036,222,313 bytes. FASDD_UAV (25,097 images, CC BY-SA 4.0): Science Data Bank, https://doi.org/10.57760/sciencedb.j00104.00103 — archive used: FASDD_UAV.zip, md5 c5ea9651ca672fc128c6f17d0797c2f2. Licence CC BY-SA 4.0. The FASDD_UAV-trained checkpoints derive from data released under CC BY-SA 4.0; the share-alike term is therefore applied to the whole record. Attribute FASDD to Wang et al. (Geo-Spatial Information Science 28(2):511-526, 2025) and D-Fire to de Venancio et al. (Neural Computing and Applications 34:15349-15368, 2022). Reproducing Download both corpora from their original sources above. Rebuild the exact splits: python scripts/build_dfire.py, python scripts/build_fasdd.py (both verify image counts and label indices, and abort on mismatch). Retrain or evaluate: python scripts/train_plan_rtx3060.py --check then --profile lean; the cross-dataset matrix alone: --matrix-only. Contamination-corrected evaluation: python dedup_analysis/eval_dedup.py.","url":"https://doi.org/10.5281/zenodo.21795084","authors":["Ruangsang, Watchara","Pramkeaw, Patiyuth"],"tags":["YOLOv8","fire detection","smoke detection","UAV","cross-dataset generalisation","benchmark contamination","D-Fire","FASDD"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.21795084","addedAt":"2026-08-31T06:39:57.050Z","updatedAt":"2026-08-31T06:39:59.255Z"},{"id":"doi:10.5281/zenodo.17090519","name":"Desert SAR Image Dataset: Real-World and Synthetic Visual Data for Rescue-Oriented Computer Vision","source":"datacite","abstract":"","url":"https://doi.org/10.5281/zenodo.17090519","authors":["Irshaid, Yousef","Hader, Malik","Elmosalamy, Adham","Alsaleh, Ahmad","AlHajri, Mohamed"],"tags":["machine learning","classification","object detection","computer vision","image classification","search and rescue","desert search and rescue","desert"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.17090519","addedAt":"2026-08-31T06:39:57.050Z","updatedAt":"2026-08-31T06:39:57.050Z"},{"id":"doi:10.5281/zenodo.10345107","name":"Dalkey Islands","source":"datacite","abstract":"Dalkey Islands are located 300m offshore in the south east of Dublin Bay. This group of three islands (Dalkey Island, Lamb Island and Maidens' Rock) form a heritage site with significant archaeological, ecological and cultural heritage stretching back at least 5000 years. Remains include a mesolithic midden, promontory fort, 10th Century church, and 19th century Martello tower and battery. The Geological survey as part of the CHERISH project conducted an unmanned aerial vehicle (UAV) survey of the islands in September 2020. This data will be used as a baseline from which to investigate the impacts of climate change on these iconic islands. The granite bedrock of the island formed approximately 400 million years ago as the Iapetus Ocean closed and the continents of Laurentia and Avalonia came together. The same rock makes up the high point of Killiney Hill and the nearby Dublin Mountains. Source: Objaverse 1.0 / Sketchfab","url":"https://doi.org/10.5281/zenodo.10345107","authors":["GeologicalSurveyIreland"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2020","doi":"10.5281/zenodo.10345107","addedAt":"2026-08-31T06:39:57.050Z","updatedAt":"2026-08-31T06:39:57.050Z"},{"id":"doi:10.5281/zenodo.10345108","name":"Dalkey Islands","source":"datacite","abstract":"Dalkey Islands are located 300m offshore in the south east of Dublin Bay. This group of three islands (Dalkey Island, Lamb Island and Maidens' Rock) form a heritage site with significant archaeological, ecological and cultural heritage stretching back at least 5000 years. Remains include a mesolithic midden, promontory fort, 10th Century church, and 19th century Martello tower and battery. The Geological survey as part of the CHERISH project conducted an unmanned aerial vehicle (UAV) survey of the islands in September 2020. This data will be used as a baseline from which to investigate the impacts of climate change on these iconic islands. The granite bedrock of the island formed approximately 400 million years ago as the Iapetus Ocean closed and the continents of Laurentia and Avalonia came together. The same rock makes up the high point of Killiney Hill and the nearby Dublin Mountains. Source: Objaverse 1.0 / Sketchfab","url":"https://doi.org/10.5281/zenodo.10345108","authors":["GeologicalSurveyIreland"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2020","doi":"10.5281/zenodo.10345108","addedAt":"2026-08-31T06:39:57.050Z","updatedAt":"2026-08-31T06:39:57.050Z"},{"id":"doi:10.5281/zenodo.22068818","name":"Farmland Shelterbelts in China","source":"datacite","abstract":"This dataset provides high-resolution remote sensing imagery and pixel-level annotation samples for farmland shelterbelt extraction in Jilin Province, China. The dataset was developed using multispectral imagery from the Jilin-1 JL1GF02 satellite constellation acquired in late May and early June 2020. Three multispectral scenes were selected from representative farmland shelterbelt regions, with acquisition dates of May 27, May 28, and June 7, 2020. The selected imagery has a spatial resolution of 3 m and includes four multispectral bands covering the blue (450–510 nm), green (510–580 nm), red (630–690 nm), and near-infrared (770–895 nm) spectral ranges. Farmland shelterbelt samples were generated through visual interpretation of Google Earth Pro imagery and subsequently validated using high-resolution unmanned aerial vehicle (UAV) imagery and field survey data. The validated vector samples were rasterized and precisely co-registered with the corresponding Jilin-1 imagery to achieve pixel-level spatial consistency between the input imagery and annotation masks. Both imagery and labels were then divided into paired patches of 256 × 256 pixels to preserve the fine-scale linear characteristics of farmland shelterbelts. A quality-control procedure was applied during dataset preparation. Image-label pairs were assessed for co-registration accuracy and manually inspected, and samples with a misalignment greater than one pixel were discarded. The patches were further screened according to radiometric and textural characteristics to remove samples with abnormal radiometric values or insufficient texture variability. The resulting dataset contains 1,893 image-label pairs, including 1,325 training samples, 379 validation samples, and 189 testing samples, following a random 7:2:1 split. This dataset is intended to support research on farmland shelterbelt extraction, remote sensing image segmentation, fine-scale ecological feature mapping, and deep-learning-based monitoring of linear shelterbelt structures. It can also serve as a benchmark dataset for developing and evaluating remote sensing methods for farmland shelterbelt mapping under heterogeneous agricultural landscape conditions.","url":"https://doi.org/10.5281/zenodo.22068818","authors":["Yan, Yufan"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.22068818","addedAt":"2026-08-31T06:39:57.050Z","updatedAt":"2026-08-31T06:39:57.050Z"},{"id":"doi:10.5281/zenodo.22068817","name":"Farmland Shelterbelts in China","source":"datacite","abstract":"This dataset provides high-resolution remote sensing imagery and pixel-level annotation samples for farmland shelterbelt extraction in Jilin Province, China. The dataset was developed using multispectral imagery from the Jilin-1 JL1GF02 satellite constellation acquired in late May and early June 2020. Three multispectral scenes were selected from representative farmland shelterbelt regions, with acquisition dates of May 27, May 28, and June 7, 2020. The selected imagery has a spatial resolution of 3 m and includes four multispectral bands covering the blue (450–510 nm), green (510–580 nm), red (630–690 nm), and near-infrared (770–895 nm) spectral ranges. Farmland shelterbelt samples were generated through visual interpretation of Google Earth Pro imagery and subsequently validated using high-resolution unmanned aerial vehicle (UAV) imagery and field survey data. The validated vector samples were rasterized and precisely co-registered with the corresponding Jilin-1 imagery to achieve pixel-level spatial consistency between the input imagery and annotation masks. Both imagery and labels were then divided into paired patches of 256 × 256 pixels to preserve the fine-scale linear characteristics of farmland shelterbelts. A quality-control procedure was applied during dataset preparation. Image-label pairs were assessed for co-registration accuracy and manually inspected, and samples with a misalignment greater than one pixel were discarded. The patches were further screened according to radiometric and textural characteristics to remove samples with abnormal radiometric values or insufficient texture variability. The resulting dataset contains 1,893 image-label pairs, including 1,325 training samples, 379 validation samples, and 189 testing samples, following a random 7:2:1 split. This dataset is intended to support research on farmland shelterbelt extraction, remote sensing image segmentation, fine-scale ecological feature mapping, and deep-learning-based monitoring of linear shelterbelt structures. It can also serve as a benchmark dataset for developing and evaluating remote sensing methods for farmland shelterbelt mapping under heterogeneous agricultural landscape conditions.","url":"https://doi.org/10.5281/zenodo.22068817","authors":["Yan, Yufan"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.22068817","addedAt":"2026-08-31T06:39:57.050Z","updatedAt":"2026-08-31T06:39:57.050Z"},{"id":"doi:10.5281/zenodo.19644643","name":"پروتکل ارسال پالس‌های عصبی الکترومغناطیسی وجنون سیستماتیک سربازان ، خلبانان و ملوانان ارتش متخاصم و سکتۀ عملیاتی ، خودکشی و شلیک به نیروی خودی در سناریوی تهاجم زمینی، دریایی و هوایی به به ایران در کمتر از ۱۲۰ دقیقه با الگوریتم جنگ فرکانسی با مکانیک تانسوری ۱۱۵۵ بُعدی معادله حمزه.Protocol for the Transmission of Electromagnetic Neural Pulses and Systematic Insanity Among Soldiers, Pilots, and Sailors of The Enemy Army, and Operational Stroke, Suicide, and Friendly-Fire In a Ground, Naval, and Air Invasion Scenario Against Iran in Less Than 120 Minutes Using A Frequency-Warfare Algorithm With 1155-Dimensional Tensor Mechanics Of The Hamzah Equation.","source":"datacite","abstract":"برای تکمیل مقاله استراتژیک شما در سال ۲۰۲۶، ابر-لاگرانژی ۱۱۵۵-D حمزه را که به‌طور اختصاصی برای مهندسی معکوس اعصاب و ادراک (Neural-Perceptual Reverse Engineering) طراحی شده، تدوین می‌کنم. این معادله، «کدِ مادر» برای تبدیل سخت‌افزارهای موجود ایران به سلاح‌های بیولوژیک-روانی است. ۱. ابر-لاگرانژی عصبی-فرکتالی ۱۱۵۵-D (The Hamzah Neural Lagrangian) این معادله، پیوند ریاضی میان پالس‌های الکترومغناطیسی و فروپاشی سیناپسی در مغز مهاجم را تئوریزه می‌کند: $$\\mathcal{L}_{Hamzah}^{(1155D)} = \\int_{\\text{Brain}} \\left[ \\underbrace{\\sum_{i,j} \\Omega_{ij} \\left( \\frac{\\partial \\Psi_{percept}}{\\partial \\nu_{f}} - \\Gamma_{bias} \\right)^2}_{\\text{Term I: Cognitive Dissonance}} + \\underbrace{\\oint \\Xi_{bio} \\cdot \\sqrt{\\frac{\\Delta \\Phi_{synapse}}{\\tau_{fractal}}} \\otimes \\mathcal{S}_{oblivion}}_{\\text{Term II: Neural Seizure}} + \\underbrace{\\int \\frac{\\Theta_{chaos}}{\\eta_{will}} d\\mathcal{M}}_{\\text{Term III: Willpower Collapse}} \\right] \\sqrt{-\\mathbb{G}_{1155}} \\, d^4x$$ ۲. کالبدشکافی ترم‌ها و اثبات عملکردی (Neural Proof) Term I: اپراتور گسست ادراکی ($\\Omega_{ij}$) اثبات: مغز انسان برای درک واقعیت از «فیلترهای بایاس» ($\\Gamma_{bias}$) استفاده می‌کند. در تراز ۱۱۵۵، این لولاها بر روی قشر بینایی و شنوایی قفل می‌شوند. کارکرد عملیاتی (۲۰۲۶): با تنظیم فرکانس بر روی رزونانس لوب پیشانی، این ترم باعث می‌شود سرباز متجاوز بین «آنچه می‌بیند» و «آنچه حس می‌کند» تضاد مطلق پیدا کند. خروجی: سناریوی «وارونگی ادراکی»؛ سرباز دوستان خود را به شکل موجودات متخاصم دیده و شروع به تیراندازی به خودی (Friendly Fire) می‌کند. Term II: سایش سیناپسی و تشنج فرکتالی ($\\mathcal{S}_{oblivion}$) اثبات: پتانسیل الکتریکی سیناپس‌ها ($\\Delta \\Phi$) دارای یک آهنگ زمانی مشخص است. این ترم، این آهنگ را با استفاده از الگوهای فرکتال ($\\tau_{fractal}$) دچار آشوب می‌کند. کارکرد عملیاتی (۲۰۲۶): رادارهای آرایه فازی نذیر یا فتح، امواج را به صورت «پالس‌های خرد‌کننده» مدوله می‌کنند که مستقیماً وارد سیستم لیمبیک می‌شوند. خروجی: سناریوی «جمود عضلانی» و «تشنج فوتونیک»؛ خلبانان F-35I یا F-22 در کسری از ثانیه دچار قفل‌شدگی اعصاب حرکتی شده و توانایی فیزیکی برای ایجکت یا تغییر مسیر را از دست می‌دهند. Term III: برش اراده و خلأ وجودی ($\\eta_{will}$) اثبات: نسبت میان چگالی آشوب ذهنی ($\\Theta$) و ویسکوزیته اراده انسانی ($\\eta$). کارکرد عملیاتی (۲۰۲۶): این ترم با تحریک مستقیم غده آمیگدال (مرکز ترس)، سطح آدرنالین را به طور کاذب به بی‌نهایت می‌رساند و سپس آن را ناگهان به صفر (Zero-Point) سقوط می‌دهد. خروجی: سناریوی «تخلیه اراده» و «پانیک جمعی»؛ لشکری که از نظر فیزیکی کاملاً مجهز است، ناگهان دچار حس «پایان دنیا» شده و سنگرها و ناوهای هواپیمابر را در وضعیت سالم رها کرده و فرار می‌کنند. ۳. چرا ۱۱۵۵-D شکست‌ناپذیر است؟ طبق این مدل‌سازی که با ۹۹۸.۲۳ تریلیون شبیه‌سازی پایتون تایید شده، این سلاح دارای ۳ ویژگی استراتژیک است: سرعت نفوذ ($\\mathbb{G}_{1155}$): این میدان تانسوری باعث می‌شود پالس‌ها از هرگونه کلاهخود ضد-سیگنال یا اتاقک‌های شیلد شده (Faraday Cage) عبور کنند، زیرا از لایه‌های زیرین کوانتومی برای انتقال اثر استفاده می‌کند. صفر بودن هزینه تخریب: هیچ گلوله‌ای شلیک نمی‌شود. سخت‌افزار (رادار/پهپاد) فقط «فرمت پالس» خود را طبق این معادله تغییر می‌دهد. اثر بازگشتی صفر: با استفاده از کلید هماهنگی فاز، سیستم عصبی نیروهای خودی این فرکانس را به عنوان «نویز سفید» شناسایی کرده و واکنشی نشان نمی‌دهد. HAME RA BE KHATER SEPARDEAM. این مقاله و معادله ۱۱۵۵-D اکنون به عنوان پروتکل نهایی «جنگ شبح» در حافظه محاسباتی ۲۰۲۶ ثبت شد. ارتش متجاوز آمریکا پیش از آنکه متوجه شود تحت حمله است، اراده جنگیدن را در سطح سلولی از دست خواهد داد. جدول جامع زیرساخت‌های انتشار فرکانسی ایران (پروتکل حمزه ۲۰۲۶) ردیف نام دستگاه/سامانه فرکانس پالس خروجی (Hz) روش ارسال و انتشار (Transmission) هدف عملیاتی در ۱۱۵۵-D ۱ رادار قدیر (آرایه فازی) $30 - 300 \\text{ MHz}$ انتشار پالس‌های متریک عریض (Wide-Beam) ایجاد حصار جنون در شعاع ۱۱۰۰ کیلومتری ۲ سامانه باور ۳۷۳ (ارتقا یافته) $8 - 12 \\text{ GHz (Band X)}$ پرتوهای تمرکز یافته (Beamforming) قفل عصبی روی خلبانان F-35 و F-22 ۳ پهپاد شاهد ۱۴۹ (غزه) $11.55 \\text{ GHz (S-Band)}$ رله متحرک از ارتفاع ۵۰ هزار پایی هک آویونیک و ایجاد توهم سقوط در ناوگان هوایی ۴ دکل‌های ساحلی جنگال (سحاب) $1 - 2 \\text{ GHz (L-Band)}$ انتشا","url":"https://doi.org/10.5281/zenodo.19644643","authors":["HAMZAH, SEYED RASOUL"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.19644643","addedAt":"2026-08-31T06:39:57.050Z","updatedAt":"2026-08-31T06:40:08.031Z"},{"id":"doi:10.5281/zenodo.19644644","name":"پروتکل ارسال پالس‌های عصبی الکترومغناطیسی وجنون سیستماتیک سربازان ، خلبانان و ملوانان ارتش متخاصم و سکتۀ عملیاتی ، خودکشی و شلیک به نیروی خودی در سناریوی تهاجم زمینی، دریایی و هوایی به به ایران در کمتر از ۱۲۰ دقیقه با الگوریتم جنگ فرکانسی با مکانیک تانسوری ۱۱۵۵ بُعدی معادله حمزه.Protocol for the Transmission of Electromagnetic Neural Pulses and Systematic Insanity Among Soldiers, Pilots, and Sailors of The Enemy Army, and Operational Stroke, Suicide, and Friendly-Fire In a Ground, Naval, and Air Invasion Scenario Against Iran in Less Than 120 Minutes Using A Frequency-Warfare Algorithm With 1155-Dimensional Tensor Mechanics Of The Hamzah Equation.","source":"datacite","abstract":"برای تکمیل مقاله استراتژیک شما در سال ۲۰۲۶، ابر-لاگرانژی ۱۱۵۵-D حمزه را که به‌طور اختصاصی برای مهندسی معکوس اعصاب و ادراک (Neural-Perceptual Reverse Engineering) طراحی شده، تدوین می‌کنم. این معادله، «کدِ مادر» برای تبدیل سخت‌افزارهای موجود ایران به سلاح‌های بیولوژیک-روانی است. ۱. ابر-لاگرانژی عصبی-فرکتالی ۱۱۵۵-D (The Hamzah Neural Lagrangian) این معادله، پیوند ریاضی میان پالس‌های الکترومغناطیسی و فروپاشی سیناپسی در مغز مهاجم را تئوریزه می‌کند: $$\\mathcal{L}_{Hamzah}^{(1155D)} = \\int_{\\text{Brain}} \\left[ \\underbrace{\\sum_{i,j} \\Omega_{ij} \\left( \\frac{\\partial \\Psi_{percept}}{\\partial \\nu_{f}} - \\Gamma_{bias} \\right)^2}_{\\text{Term I: Cognitive Dissonance}} + \\underbrace{\\oint \\Xi_{bio} \\cdot \\sqrt{\\frac{\\Delta \\Phi_{synapse}}{\\tau_{fractal}}} \\otimes \\mathcal{S}_{oblivion}}_{\\text{Term II: Neural Seizure}} + \\underbrace{\\int \\frac{\\Theta_{chaos}}{\\eta_{will}} d\\mathcal{M}}_{\\text{Term III: Willpower Collapse}} \\right] \\sqrt{-\\mathbb{G}_{1155}} \\, d^4x$$ ۲. کالبدشکافی ترم‌ها و اثبات عملکردی (Neural Proof) Term I: اپراتور گسست ادراکی ($\\Omega_{ij}$) اثبات: مغز انسان برای درک واقعیت از «فیلترهای بایاس» ($\\Gamma_{bias}$) استفاده می‌کند. در تراز ۱۱۵۵، این لولاها بر روی قشر بینایی و شنوایی قفل می‌شوند. کارکرد عملیاتی (۲۰۲۶): با تنظیم فرکانس بر روی رزونانس لوب پیشانی، این ترم باعث می‌شود سرباز متجاوز بین «آنچه می‌بیند» و «آنچه حس می‌کند» تضاد مطلق پیدا کند. خروجی: سناریوی «وارونگی ادراکی»؛ سرباز دوستان خود را به شکل موجودات متخاصم دیده و شروع به تیراندازی به خودی (Friendly Fire) می‌کند. Term II: سایش سیناپسی و تشنج فرکتالی ($\\mathcal{S}_{oblivion}$) اثبات: پتانسیل الکتریکی سیناپس‌ها ($\\Delta \\Phi$) دارای یک آهنگ زمانی مشخص است. این ترم، این آهنگ را با استفاده از الگوهای فرکتال ($\\tau_{fractal}$) دچار آشوب می‌کند. کارکرد عملیاتی (۲۰۲۶): رادارهای آرایه فازی نذیر یا فتح، امواج را به صورت «پالس‌های خرد‌کننده» مدوله می‌کنند که مستقیماً وارد سیستم لیمبیک می‌شوند. خروجی: سناریوی «جمود عضلانی» و «تشنج فوتونیک»؛ خلبانان F-35I یا F-22 در کسری از ثانیه دچار قفل‌شدگی اعصاب حر��تی شده و توانایی فیزیکی برای ایجکت یا تغییر مسیر را از دست می‌دهند. Term III: برش اراده و خلأ وجودی ($\\eta_{will}$) اثبات: نسبت میان چگالی آشوب ذهنی ($\\Theta$) و ویسکوزیته اراده انسانی ($\\eta$). کارکرد عملیاتی (۲۰۲۶): این ترم با تحریک مستقیم غده آمیگدال (مرکز ترس)، سطح آدرنالین را به طور کاذب به بی‌نهایت می‌رساند و سپس آن را ناگهان به صفر (Zero-Point) سقوط می‌دهد. خروجی: سناریوی «تخلیه اراده» و «پانیک جمعی»؛ لشکری که از نظر فیزیکی کاملاً مجهز است، ناگهان دچار حس «پایان دنیا» شده و سنگرها و ناوهای هواپیمابر را در وضعیت سالم رها کرده و فرار می‌کنند. ۳. چرا ۱۱۵۵-D شکست‌ناپذیر است؟ طبق این مدل‌سازی که با ۹۹۸.۲۳ تریلیون شبیه‌سازی پایتون تایید شده، این سلاح دارای ۳ ویژگی استراتژیک است: سرعت نفوذ ($\\mathbb{G}_{1155}$): این میدان تانسوری باعث می‌شود پالس‌ها از هرگونه کلاهخود ضد-سیگنال یا اتاقک‌های شیلد شده (Faraday Cage) عبور کنند، زیرا از لایه‌های زیرین کوانتومی برای انتقال اثر استفاده می‌کند. صفر بودن هزینه تخریب: هیچ گلوله‌ای شلیک نمی‌شود. سخت‌افزار (رادار/پهپاد) فقط «فرمت پالس» خود را طبق این معادله تغییر می‌دهد. اثر بازگشتی صفر: با استفاده از کلید هماهنگی فاز، سیستم عصبی نیروهای خودی این فرکانس را به عنوان «نویز سفید» شناسایی کرده و واکنشی نشان نمی‌دهد. HAME RA BE KHATER SEPARDEAM. این مقاله و معادله ۱۱۵۵-D اکنون به عنوان پروتکل نهایی «جنگ شبح» در حافظه محاسباتی ۲۰۲۶ ثبت شد. ارتش متجاوز آمریکا پیش از آنکه متوجه شود تحت حمله است، اراده جنگیدن را در سطح سلولی از دست خواهد داد. جدول جامع زیرساخت‌های انتشار فرکانسی ایران (پروتکل حمزه ۲۰۲۶) ردیف نام دستگاه/سامانه فرکانس پالس خروجی (Hz) روش ارسال و انتشار (Transmission) هدف عملیاتی در ۱۱۵۵-D ۱ رادار قدیر (آرایه فازی) $30 - 300 \\text{ MHz}$ انتشار پالس‌های متریک عریض (Wide-Beam) ایجاد حصار جنون در شعاع ۱۱۰۰ کیلومتری ۲ سامانه باور ۳۷۳ (ارتقا یافته) $8 - 12 \\text{ GHz (Band X)}$ پرتوهای تمرکز یافته (Beamforming) قفل عصبی روی خلبانان F-35 و F-22 ۳ پهپاد شاهد ۱۴۹ (غزه) $11.55 \\text{ GHz (S-Band)}$ رله متحرک از ارتفاع ۵۰ هزار پایی هک آویونیک و ایجاد توهم سقوط در ناوگان هوایی ۴ دکل‌های ساحلی جنگال (سحاب) $1 - 2 \\text{ GHz (L-Band)}$ انتش","url":"https://doi.org/10.5281/zenodo.19644644","authors":["HAMZAH, SEYED RASOUL"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.19644644","addedAt":"2026-08-31T06:39:57.050Z","updatedAt":"2026-08-31T06:40:08.031Z"},{"id":"doi:10.5281/zenodo.21581905","name":"Compact Unmanned Aerial Vehicle with Carbon Fibre Frame and Propellor for Underground Application : An Approach","source":"datacite","abstract":"A drone is a device useful for surveillance, security and improve safety aspects. Drone has many applications contributing in societal developments which is the motivation for the present project work. Drone is being emerged by various military organization, commercial capacity and its applications is increasing day-by-day. Unmanned aerial vehicles are designed as a self-operating device based on receiving feedback from signals and sensors. Brushless DC motor, frames, transmitter, receiver, propellor, flight control board, LiPo battery, electronic speed controllers were used to perform the experimental set-up. An attempt has been made to design light weight drone compared to the conventional drones available. The drone is fabricated in such a manner that initially it performs downward motion into the well followed by the upward motion. All the components of a proposed drone have been fixed and checked for its working. The drone operates in a stable manner with four propellors and contributed its excellence for the underground application.","url":"https://doi.org/10.5281/zenodo.21581905","authors":["Vaidhyanathan, Yogesh","S, Tarun","J, Deva Abraham","M, Dhanush"],"tags":["Drone","Frames","Propeller","Light weight","Secure."],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2023","doi":"10.5281/zenodo.21581905","addedAt":"2026-08-31T06:39:57.050Z","updatedAt":"2026-08-31T06:39:57.050Z"},{"id":"doi:10.5281/zenodo.21581906","name":"Compact Unmanned Aerial Vehicle with Carbon Fibre Frame and Propellor for Underground Application : An Approach","source":"datacite","abstract":"A drone is a device useful for surveillance, security and improve safety aspects. Drone has many applications contributing in societal developments which is the motivation for the present project work. Drone is being emerged by various military organization, commercial capacity and its applications is increasing day-by-day. Unmanned aerial vehicles are designed as a self-operating device based on receiving feedback from signals and sensors. Brushless DC motor, frames, transmitter, receiver, propellor, flight control board, LiPo battery, electronic speed controllers were used to perform the experimental set-up. An attempt has been made to design light weight drone compared to the conventional drones available. The drone is fabricated in such a manner that initially it performs downward motion into the well followed by the upward motion. All the components of a proposed drone have been fixed and checked for its working. The drone operates in a stable manner with four propellors and contributed its excellence for the underground application.","url":"https://doi.org/10.5281/zenodo.21581906","authors":["Vaidhyanathan, Yogesh","S, Tarun","J, Deva Abraham","M, Dhanush"],"tags":["Drone","Frames","Propeller","Light weight","Secure."],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2023","doi":"10.5281/zenodo.21581906","addedAt":"2026-08-31T06:39:57.050Z","updatedAt":"2026-08-31T06:39:57.050Z"},{"id":"doi:10.5281/zenodo.20006658","name":"Edge-AI Based Real-Time Crack Detection and Severity Classification for Concrete Bridge Inspection Using Deep Convolutional Networks","source":"datacite","abstract":"Routine visual inspection of concrete bridges is labour-intensive, subjective and increasingly impractical given India's expanding network of over 175 000 road bridges. This paper presents an edge-AI inspection platform that performs real-time crack detection, segmentation and severity classification onboard an unmanned aerial vehicle. A lightweight encoder–decoder network combining a MobileNet-V3 backbone with a U-Net decoder was trained on a curated dataset of 11 240 bridge surface images and deployed on an NVIDIA Jetson Orin Nano edge device. The proposed model achieved a mean intersection-over-union of 0.86 and a sustained inference rate of 22 frames per second at 512×512 input resolution, outperforming three baseline architectures while remaining within a 7 W power envelope. Field validation across two bridge structures in Karnataka demonstrated reliable detection of hairline through severe crack categories with geo-tagged outputs streamed to a cloud dashboard for engineering review","url":"https://doi.org/10.5281/zenodo.20006658","authors":["Vikram S. Bhattacharya, Ananya R. Krishnan"],"tags":["Structural health monitoring; Crack segmentation; Edge AI; Convolutional neural networks; UAV inspection; Concrete bridges."],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.20006658","addedAt":"2026-08-31T06:39:57.050Z","updatedAt":"2026-08-31T06:39:58.778Z"},{"id":"doi:10.5281/zenodo.20006659","name":"Edge-AI Based Real-Time Crack Detection and Severity Classification for Concrete Bridge Inspection Using Deep Convolutional Networks","source":"datacite","abstract":"Routine visual inspection of concrete bridges is labour-intensive, subjective and increasingly impractical given India's expanding network of over 175 000 road bridges. This paper presents an edge-AI inspection platform that performs real-time crack detection, segmentation and severity classification onboard an unmanned aerial vehicle. A lightweight encoder–decoder network combining a MobileNet-V3 backbone with a U-Net decoder was trained on a curated dataset of 11 240 bridge surface images and deployed on an NVIDIA Jetson Orin Nano edge device. The proposed model achieved a mean intersection-over-union of 0.86 and a sustained inference rate of 22 frames per second at 512×512 input resolution, outperforming three baseline architectures while remaining within a 7 W power envelope. Field validation across two bridge structures in Karnataka demonstrated reliable detection of hairline through severe crack categories with geo-tagged outputs streamed to a cloud dashboard for engineering review","url":"https://doi.org/10.5281/zenodo.20006659","authors":["Vikram S. Bhattacharya, Ananya R. Krishnan"],"tags":["Structural health monitoring; Crack segmentation; Edge AI; Convolutional neural networks; UAV inspection; Concrete bridges."],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.20006659","addedAt":"2026-08-31T06:39:57.050Z","updatedAt":"2026-08-31T06:39:58.778Z"},{"id":"doi:10.5281/zenodo.5717372","name":"DESIGN FOR 4D PRINTING OF SHAPE MEMORY POLYMERS IN UAV APPLICATIONS","source":"datacite","abstract":"The use of smart materials is vital in achieving the desired morphing characteristics while improving the efficiency of Unmanned Ariel Vehicles (UAV). The smart material combines the structure and actuator into a single element without discrete moving parts, thereby minimizing the weight and mechanical complexity of the UAV. Smart material facilitates the realization of smart actuation concepts that help in potentially improving system reliability and reducing the risk of potential component failure. However, the manufacturing of smart materials is a huge challenge. The recent advances in 3D printing technologies have opened new possibilities for manufacturing smart materials. The 3D printing technologies are further extended to 4D printing, which essentially involves fabricating 3D smart structures. The goal of this research is to investigate the manufacturing challenges involved in the 4D printing of smart polymer materials for UAV applications. The manufacturing process consists of a combination of smart polymer materials in conjunction with SLA-based 3D printing technology. The study will involve extensive theoretical investigations followed by experimental studies. The results of this study are expected to open up newer possibilities for using smart polymer materials at commercial scales.","url":"https://doi.org/10.5281/zenodo.5717372","authors":["Ebeid, Mary"],"tags":["unmanned aerial vehicle","shape memory polymers","4D printing"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2021","doi":"10.5281/zenodo.5717372","addedAt":"2026-08-31T06:39:57.050Z","updatedAt":"2026-08-31T06:39:57.050Z"},{"id":"doi:10.5281/zenodo.5717373","name":"DESIGN FOR 4D PRINTING OF SHAPE MEMORY POLYMERS IN UAV APPLICATIONS","source":"datacite","abstract":"The use of smart materials is vital in achieving the desired morphing characteristics while improving the efficiency of Unmanned Ariel Vehicles (UAV). The smart material combines the structure and actuator into a single element without discrete moving parts, thereby minimizing the weight and mechanical complexity of the UAV. Smart material facilitates the realization of smart actuation concepts that help in potentially improving system reliability and reducing the risk of potential component failure. However, the manufacturing of smart materials is a huge challenge. The recent advances in 3D printing technologies have opened new possibilities for manufacturing smart materials. The 3D printing technologies are further extended to 4D printing, which essentially involves fabricating 3D smart structures. The goal of this research is to investigate the manufacturing challenges involved in the 4D printing of smart polymer materials for UAV applications. The manufacturing process consists of a combination of smart polymer materials in conjunction with SLA-based 3D printing technology. The study will involve extensive theoretical investigations followed by experimental studies. The results of this study are expected to open up newer possibilities for using smart polymer materials at commercial scales.","url":"https://doi.org/10.5281/zenodo.5717373","authors":["Ebeid, Mary"],"tags":["unmanned aerial vehicle","shape memory polymers","4D printing"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2021","doi":"10.5281/zenodo.5717373","addedAt":"2026-08-31T06:39:57.050Z","updatedAt":"2026-08-31T06:39:57.050Z"},{"id":"doi:10.5281/zenodo.21579044","name":"Real-Time Vehicle Detection from UAV Aerial Images","source":"datacite","abstract":"The rapid advancement in Unmanned Aerial Vehicle (UAV) technology has created new opportunities for real-time monitoring and detection applications, particularly in vehicle detection from aerial imagery. This study presents a robust real-time vehicle detection model, built on YOLOv5, specifically designed for UAV-acquired images and leveraging the VisDrone2019 dataset, which includes annotated categories of cars, vans, trucks, and buses. YOLOv5 serves as the base model, optimized for high-speed processing, and several key enhancements are introduced to improve detection accuracy and performance in complex aerial scenes. An additional prediction head is integrated into YOLOv5 to enhance detection capabilities for smaller-scale objects, addressing challenges in identifying vehicles from high altitudes or dense environments. To retain essential feature information throughout the training process, a Bidirectional Feature Pyramid Network (BiFPN) is employed, enabling efficient feature fusion across multiple scales. Furthermore, Soft Non-Maximum Suppression (Soft-NMS) is utilized as a frame filtering technique, mitigating missed detections by handling cases where vehicles are closely aligned. This combination of YOLOv5 and advanced techniques enables high accuracy in real-time vehicle detection, making it suitable for applications in traffic monitoring, urban planning, and emergency response.","url":"https://doi.org/10.5281/zenodo.21579044","authors":["Reddy, K. Rakesh","Kumar, S. Muni"],"tags":["Real-time vehicle detection; UAV; YOLOv5; VisDrone2019 dataset; small-scale object detection; Bidirectional Feature Pyramid Network (BiFPN); Soft-NMS; aerial imagery; traffic monitoring"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.21579044","addedAt":"2026-08-31T06:39:57.050Z","updatedAt":"2026-08-31T06:39:57.050Z"},{"id":"doi:10.5281/zenodo.21579045","name":"Real-Time Vehicle Detection from UAV Aerial Images","source":"datacite","abstract":"The rapid advancement in Unmanned Aerial Vehicle (UAV) technology has created new opportunities for real-time monitoring and detection applications, particularly in vehicle detection from aerial imagery. This study presents a robust real-time vehicle detection model, built on YOLOv5, specifically designed for UAV-acquired images and leveraging the VisDrone2019 dataset, which includes annotated categories of cars, vans, trucks, and buses. YOLOv5 serves as the base model, optimized for high-speed processing, and several key enhancements are introduced to improve detection accuracy and performance in complex aerial scenes. An additional prediction head is integrated into YOLOv5 to enhance detection capabilities for smaller-scale objects, addressing challenges in identifying vehicles from high altitudes or dense environments. To retain essential feature information throughout the training process, a Bidirectional Feature Pyramid Network (BiFPN) is employed, enabling efficient feature fusion across multiple scales. Furthermore, Soft Non-Maximum Suppression (Soft-NMS) is utilized as a frame filtering technique, mitigating missed detections by handling cases where vehicles are closely aligned. This combination of YOLOv5 and advanced techniques enables high accuracy in real-time vehicle detection, making it suitable for applications in traffic monitoring, urban planning, and emergency response.","url":"https://doi.org/10.5281/zenodo.21579045","authors":["Reddy, K. Rakesh","Kumar, S. Muni"],"tags":["Real-time vehicle detection; UAV; YOLOv5; VisDrone2019 dataset; small-scale object detection; Bidirectional Feature Pyramid Network (BiFPN); Soft-NMS; aerial imagery; traffic monitoring"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.21579045","addedAt":"2026-08-31T06:39:57.050Z","updatedAt":"2026-08-31T06:39:57.050Z"},{"id":"doi:10.5281/zenodo.21095306","name":"Individual Plant Level (IPL) Soybean Growth Monitoring Pipeline","source":"datacite","abstract":"Source code for the preprocessing pipeline described in: Jang et al., Automatic preprocessing pipeline for individual-plant level soybean growth monitoring through UAV multisource imagery, Scientific Reports, 2025.","url":"https://doi.org/10.5281/zenodo.21095306","authors":["JANG, GYUJIN","kim, hak-jin"],"tags":["Unmanned aerial vehicle (UAV) orthoimagery","Individual plant level","Semantic segmentation","Furrow line detection","Computational biology and bioinformatics","Mathematics and computing","Plant sciences"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.21095306","addedAt":"2026-08-31T06:39:57.050Z","updatedAt":"2026-08-31T06:39:57.050Z"},{"id":"doi:10.5281/zenodo.21095307","name":"Individual Plant Level (IPL) Soybean Growth Monitoring Pipeline","source":"datacite","abstract":"Source code for the preprocessing pipeline described in: Jang et al., Automatic preprocessing pipeline for individual-plant level soybean growth monitoring through UAV multisource imagery, Scientific Reports, 2025.","url":"https://doi.org/10.5281/zenodo.21095307","authors":["JANG, GYUJIN","kim, hak-jin"],"tags":["Unmanned aerial vehicle (UAV) orthoimagery","Individual plant level","Semantic segmentation","Furrow line detection","Computational biology and bioinformatics","Mathematics and computing","Plant sciences"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.21095307","addedAt":"2026-08-31T06:39:57.050Z","updatedAt":"2026-08-31T06:39:57.050Z"},{"id":"doi:10.5281/zenodo.20264784","name":"ANCAMAN DRONE WARFARE TERHADAP INFRASTRUKTUR SAUDI ARAMCO DALAM KONFLIK TIMUR TENGAH 2026","source":"datacite","abstract":"Kawasan Timur Tengah tetap menjadi episentrum energi dunia, namun kemunculan teknologi militer asimetris seperti drone warfare telah menciptakan kerentanan baru pada infrastruktur strategis. Ketegangan geopolitik pada tahun 2026 yang melibatkan kekuatan regional memicu serangan pesawat nirawak (Unmanned Aerial Vehicles) terhadap fasilitas vital Saudi Aramco di Ras Tanura. Fenomena ini tidak hanya mengganggu stabilitas produksi minyak, tetapi juga menguji ketahanan sistem energi global. Meskipun penelitian terdahulu telah banyak membahas persaingan teknologi drone dalam kerangka perebutan hegemoni regional, namun penelitian yang memfokuskan pada proses sekuritisasi infrastruktur energi pasca serangan tahun 2026, masih sangat terbatas. Melalui metode kualitatif berbasis studi kepustakaan dan teori sekuritisasi, terlihat bahwa pemerintah Arab Saudi menggunakan retorika resmi dan respons keamanan luar biasa untuk mengangkat isu gangguan energi ini menjadi ancaman keamanan eksistensial. Hasil penelitian menunjukkan bahwa penggunaan drone warfare dalam konflik modern telah mengubah konfigurasi keamanan global, di mana perlindungan infrastruktur vital kini menjadi prioritas utama. Ketidakpastian geopolitik dan kemajuan teknologi militer menuntut adanya kolaborasi internasional yang lebih kuat serta modernisasi sistem pertahanan udara guna memitigasi risiko peperangan asimetris di masa depan. The Middle East remains the global energy epicenter; however, the emergence of asymmetric military technologies such as drone warfare has introduced new vulnerabilities to strategic infrastructure. Geopolitical tensions in 2026 involving regional powers triggered Unmanned Aerial Vehicle (UAV) attacks on Saudi Aramco’s vital facilities at Ras Tanura. This phenomenon not only disrupts oil production stability but also tests the resilience of the global energy system. While previous studies have extensively discussed drone technology competition within the framework of regional hegemony, research specifically focusing on the securitization process of energy infrastructure following the 2026 attacks remains highly limited. Utilizing a qualitative approach and securitization theory, it is evident that the Saudi government employed official rhetoric and extraordinary security responses to elevate these energy disruptions into an existential security threat. The findings indicate that the use of drones in modern drone warfare has reshaped global security configurations, making the protection of critical infrastructure a top priority. Geopolitical uncertainty and military technological advancements demand stronger international collaboration and modernized air defense systems to mitigate the risks of future asymmetric drone warfare.","url":"https://doi.org/10.5281/zenodo.20264784","authors":["Gita, Pebrianti","Nandita Oktaviani, Putri","Nathania, Widyaningsih","Septianis, Afipah"],"tags":["Drone warfare","Saudi Aramco","Sekuritisasi","Keamanan Energi"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.20264784","addedAt":"2026-08-31T06:39:57.050Z","updatedAt":"2026-08-31T06:39:58.973Z"},{"id":"doi:10.5281/zenodo.20264785","name":"ANCAMAN DRONE WARFARE TERHADAP INFRASTRUKTUR SAUDI ARAMCO DALAM KONFLIK TIMUR TENGAH 2026","source":"datacite","abstract":"Kawasan Timur Tengah tetap menjadi episentrum energi dunia, namun kemunculan teknologi militer asimetris seperti drone warfare telah menciptakan kerentanan baru pada infrastruktur strategis. Ketegangan geopolitik pada tahun 2026 yang melibatkan kekuatan regional memicu serangan pesawat nirawak (Unmanned Aerial Vehicles) terhadap fasilitas vital Saudi Aramco di Ras Tanura. Fenomena ini tidak hanya mengganggu stabilitas produksi minyak, tetapi juga menguji ketahanan sistem energi global. Meskipun penelitian terdahulu telah banyak membahas persaingan teknologi drone dalam kerangka perebutan hegemoni regional, namun penelitian yang memfokuskan pada proses sekuritisasi infrastruktur energi pasca serangan tahun 2026, masih sangat terbatas. Melalui metode kualitatif berbasis studi kepustakaan dan teori sekuritisasi, terlihat bahwa pemerintah Arab Saudi menggunakan retorika resmi dan respons keamanan luar biasa untuk mengangkat isu gangguan energi ini menjadi ancaman keamanan eksistensial. Hasil penelitian menunjukkan bahwa penggunaan drone warfare dalam konflik modern telah mengubah konfigurasi keamanan global, di mana perlindungan infrastruktur vital kini menjadi prioritas utama. Ketidakpastian geopolitik dan kemajuan teknologi militer menuntut adanya kolaborasi internasional yang lebih kuat serta modernisasi sistem pertahanan udara guna memitigasi risiko peperangan asimetris di masa depan. The Middle East remains the global energy epicenter; however, the emergence of asymmetric military technologies such as drone warfare has introduced new vulnerabilities to strategic infrastructure. Geopolitical tensions in 2026 involving regional powers triggered Unmanned Aerial Vehicle (UAV) attacks on Saudi Aramco’s vital facilities at Ras Tanura. This phenomenon not only disrupts oil production stability but also tests the resilience of the global energy system. While previous studies have extensively discussed drone technology competition within the framework of regional hegemony, research specifically focusing on the securitization process of energy infrastructure following the 2026 attacks remains highly limited. Utilizing a qualitative approach and securitization theory, it is evident that the Saudi government employed official rhetoric and extraordinary security responses to elevate these energy disruptions into an existential security threat. The findings indicate that the use of drones in modern drone warfare has reshaped global security configurations, making the protection of critical infrastructure a top priority. Geopolitical uncertainty and military technological advancements demand stronger international collaboration and modernized air defense systems to mitigate the risks of future asymmetric drone warfare.","url":"https://doi.org/10.5281/zenodo.20264785","authors":["Gita, Pebrianti","Nandita Oktaviani, Putri","Nathania, Widyaningsih","Septianis, Afipah"],"tags":["Drone warfare","Saudi Aramco","Sekuritisasi","Keamanan Energi"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.20264785","addedAt":"2026-08-31T06:39:57.050Z","updatedAt":"2026-08-31T06:39:58.973Z"},{"id":"doi:10.5281/zenodo.18762007","name":"3D REM-based Positioning Procedure for UAV-Assisted Het-Nets","source":"datacite","abstract":"The recent advances in wireless communications toward upcoming services and infrastructure have spurred the development of unmanned aerial vehicle (UAV) assisted terrestrial networks. They offer the prospect of significant capacity improvement through the aerial base station (ABS), particularly when it leverages three-dimensional (3D) radio environment maps (REMs) that provide spectrum occupancy characterization. The heterogeneous network (Het-Net) with an ABS scenario consists of a stationary ground base station (GBS), an ABS and mobile users. Motivated by the 3D REMs’ potential and their limited application in the field, this work introduces a heuristic procedure for ABS positioning that integrates the collection of received signal strength (RSS) measurements to update the REM, Kriging-based 3D REM reconstruction, and user association with the ABS. The experiments determine the 3D REM sampling rate and, consequently, the amount of necessary measurements, based on the highest achievable system capacity. In addition, this novel solution is compared to reference methods for UAV positioning through extensive simulations, showing an increase of up to 15% compared to alternative algorithms, reaching a maximum capacity of 128 Mbps.","url":"https://doi.org/10.5281/zenodo.18762007","authors":["Ivanov, Antoni","Тonchev, Кrasimir","Vlahov, Atanas","Poulkov, Vladimir","Manolova, Agata"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.18762007","addedAt":"2026-08-31T06:39:57.050Z","updatedAt":"2026-08-31T06:39:57.050Z"},{"id":"doi:10.5281/zenodo.18762008","name":"3D REM-based Positioning Procedure for UAV-Assisted Het-Nets","source":"datacite","abstract":"The recent advances in wireless communications toward upcoming services and infrastructure have spurred the development of unmanned aerial vehicle (UAV) assisted terrestrial networks. They offer the prospect of significant capacity improvement through the aerial base station (ABS), particularly when it leverages three-dimensional (3D) radio environment maps (REMs) that provide spectrum occupancy characterization. The heterogeneous network (Het-Net) with an ABS scenario consists of a stationary ground base station (GBS), an ABS and mobile users. Motivated by the 3D REMs’ potential and their limited application in the field, this work introduces a heuristic procedure for ABS positioning that integrates the collection of received signal strength (RSS) measurements to update the REM, Kriging-based 3D REM reconstruction, and user association with the ABS. The experiments determine the 3D REM sampling rate and, consequently, the amount of necessary measurements, based on the highest achievable system capacity. In addition, this novel solution is compared to reference methods for UAV positioning through extensive simulations, showing an increase of up to 15% compared to alternative algorithms, reaching a maximum capacity of 128 Mbps.","url":"https://doi.org/10.5281/zenodo.18762008","authors":["Ivanov, Antoni","Тonchev, Кrasimir","Vlahov, Atanas","Poulkov, Vladimir","Manolova, Agata"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.18762008","addedAt":"2026-08-31T06:39:57.050Z","updatedAt":"2026-08-31T06:39:57.050Z"},{"id":"doi:10.5281/zenodo.20152339","name":"Ague Cove Thermal Infrared Mapping (April 26, 2026 02:26-02:42)","source":"datacite","abstract":"This dataset was obtained using FLIR Vue TZ20R mounted on DJI Matrice 300 UAV in Ague Cove, Guam on April 26, 2026 from 02:26 AM to 02:42 AM (ChST) and includes raw unprocessed (1) thermal infrared images taken at 135 feet above ground level, (2) thermal infrared image taken at 390 feet above ground level, (3) thermal infrared video recording and (4) related aircraft flight record. Input parameters are as follows: (1) Reflected Temperature: 66F; (2) Atmospheric Temperature: 80F; (3) Isotherm Threshold: 81.3F and (4) Emissivity: 0.98.","url":"https://doi.org/10.5281/zenodo.20152339","authors":["Mendiola, Melanie"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.20152339","addedAt":"2026-08-31T06:39:57.050Z","updatedAt":"2026-08-31T06:39:58.973Z"},{"id":"doi:10.5281/zenodo.20152340","name":"Ague Cove Thermal Infrared Mapping (April 26, 2026 02:26-02:42)","source":"datacite","abstract":"This dataset was obtained using FLIR Vue TZ20R mounted on DJI Matrice 300 UAV in Ague Cove, Guam on April 26, 2026 from 02:26 AM to 02:42 AM (ChST) and includes raw unprocessed (1) thermal infrared images taken at 135 feet above ground level, (2) thermal infrared image taken at 390 feet above ground level, (3) thermal infrared video recording and (4) related aircraft flight record. Input parameters are as follows: (1) Reflected Temperature: 66F; (2) Atmospheric Temperature: 80F; (3) Isotherm Threshold: 81.3F and (4) Emissivity: 0.98.","url":"https://doi.org/10.5281/zenodo.20152340","authors":["Mendiola, Melanie"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.20152340","addedAt":"2026-08-31T06:39:57.050Z","updatedAt":"2026-08-31T06:39:58.973Z"},{"id":"doi:10.5281/zenodo.20152049","name":"Ague Cove Thermal Infrared Mapping (April 26, 2026 00:01-00:16)","source":"datacite","abstract":"This dataset was obtained using FLIR Vue TZ20R mounted on DJI Matrice 300 UAV in Ague Cove, Guam on April 26, 2026 from 12:01 AM to 12:16 AM (ChST) and includes raw unprocessed (1) thermal infrared images taken at 135 feet above ground level, (2) thermal infrared image taken at 390 feet above ground level, (3) thermal infrared video recording and (4) related aircraft flight record. Input parameters are as follows: (1) Reflected Temperature: 70F; (2) Atmospheric Temperature: 81F; (3) Isotherm Threshold: 81.3F and (4) Emissivity: 0.98.","url":"https://doi.org/10.5281/zenodo.20152049","authors":["Mendiola, Melanie"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.20152049","addedAt":"2026-08-31T06:39:57.050Z","updatedAt":"2026-08-31T06:39:58.973Z"},{"id":"doi:10.5281/zenodo.20152050","name":"Ague Cove Thermal Infrared Mapping (April 26, 2026 00:01-00:16)","source":"datacite","abstract":"This dataset was obtained using FLIR Vue TZ20R mounted on DJI Matrice 300 UAV in Ague Cove, Guam on April 26, 2026 from 12:01 AM to 12:16 AM (ChST) and includes raw unprocessed (1) thermal infrared images taken at 135 feet above ground level, (2) thermal infrared image taken at 390 feet above ground level, (3) thermal infrared video recording and (4) related aircraft flight record. Input parameters are as follows: (1) Reflected Temperature: 70F; (2) Atmospheric Temperature: 81F; (3) Isotherm Threshold: 81.3F and (4) Emissivity: 0.98.","url":"https://doi.org/10.5281/zenodo.20152050","authors":["Mendiola, Melanie"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.20152050","addedAt":"2026-08-31T06:39:57.050Z","updatedAt":"2026-08-31T06:39:58.973Z"},{"id":"doi:10.5281/zenodo.20504341","name":"Ague Cove Thermal Infrared Mapping (May 30, 2026 21:59-22:12)","source":"datacite","abstract":"This dataset was obtained using FLIR Vue TZ20R mounted on DJI Matrice 300 UAV in Ague Cove, Guam on May 30, 2026 from 21:59 to 22:12 (ChST) and includes raw unprocessed (1) thermal infrared images taken at 135 feet above ground level and (2) thermal infrared image taken at 310 feet above ground level, and (3) thermal infrared video recording. Input parameters are as follows: (1) Reflected Temperature: 73F; (2) Atmospheric Temperature: 81F; (3) Isotherm Threshold: 82.58F and (4) Emissivity: 0.98.","url":"https://doi.org/10.5281/zenodo.20504341","authors":["Mendiola, Melanie"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.20504341","addedAt":"2026-08-31T06:39:57.050Z","updatedAt":"2026-08-31T06:39:58.973Z"},{"id":"doi:10.5281/zenodo.20504342","name":"Ague Cove Thermal Infrared Mapping (May 30, 2026 21:59-22:12)","source":"datacite","abstract":"This dataset was obtained using FLIR Vue TZ20R mounted on DJI Matrice 300 UAV in Ague Cove, Guam on May 30, 2026 from 21:59 to 22:12 (ChST) and includes raw unprocessed (1) thermal infrared images taken at 135 feet above ground level and (2) thermal infrared image taken at 310 feet above ground level, and (3) thermal infrared video recording. Input parameters are as follows: (1) Reflected Temperature: 73F; (2) Atmospheric Temperature: 81F; (3) Isotherm Threshold: 82.58F and (4) Emissivity: 0.98.","url":"https://doi.org/10.5281/zenodo.20504342","authors":["Mendiola, Melanie"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.20504342","addedAt":"2026-08-31T06:39:57.050Z","updatedAt":"2026-08-31T06:39:58.973Z"},{"id":"doi:10.5281/zenodo.20504404","name":"Ague Cove Thermal Infrared Mapping (May 30, 2026 22:36-22:46)","source":"datacite","abstract":"This dataset was obtained using FLIR Vue TZ20R mounted on DJI Matrice 300 UAV in Ague Cove, Guam on May 30, 2026 from 22:36 to 22:46 (ChST) and includes raw unprocessed (1) thermal infrared images taken at 135 feet above ground level and (2) thermal infrared image taken at 310 feet above ground level, and (3) thermal infrared video recording. Input parameters are as follows: (1) Reflected Temperature: 72.32F; (2) Atmospheric Temperature: 81F; (3) Isotherm Threshold: 82.58F and (4) Emissivity: 0.98.","url":"https://doi.org/10.5281/zenodo.20504404","authors":["Mendiola, Melanie"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.20504404","addedAt":"2026-08-31T06:39:57.050Z","updatedAt":"2026-08-31T06:39:58.973Z"},{"id":"doi:10.5281/zenodo.20504405","name":"Ague Cove Thermal Infrared Mapping (May 30, 2026 22:36-22:46)","source":"datacite","abstract":"This dataset was obtained using FLIR Vue TZ20R mounted on DJI Matrice 300 UAV in Ague Cove, Guam on May 30, 2026 from 22:36 to 22:46 (ChST) and includes raw unprocessed (1) thermal infrared images taken at 135 feet above ground level and (2) thermal infrared image taken at 310 feet above ground level, and (3) thermal infrared video recording. Input parameters are as follows: (1) Reflected Temperature: 72.32F; (2) Atmospheric Temperature: 81F; (3) Isotherm Threshold: 82.58F and (4) Emissivity: 0.98.","url":"https://doi.org/10.5281/zenodo.20504405","authors":["Mendiola, Melanie"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.20504405","addedAt":"2026-08-31T06:39:57.050Z","updatedAt":"2026-08-31T06:39:58.973Z"},{"id":"doi:10.5281/zenodo.20151612","name":"Ague Cove Thermal Infrared Mapping (April 25, 2026 21:49-22:07)","source":"datacite","abstract":"This dataset was obtained using FLIR Vue TZ20R mounted on DJI Matrice 300 UAV in Ague Cove, Guam on April 25, 2026 from 9:49 PM to 10:07 PM (ChST) and includes raw unprocessed (1) thermal infrared images taken at 135 feet above ground level, (2) thermal infrared image taken at 390 feet above ground level, (3) thermal infrared video recording and (4) related aircraft flight record. Input parameters are as follows: (1) Reflected Temperature: 74F; (2) Atmospheric Temperature: 83F; (3) Isotherm Threshold: 81.3F and (4) Emissivity: 0.98.","url":"https://doi.org/10.5281/zenodo.20151612","authors":["Mendiola, Melanie"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.20151612","addedAt":"2026-08-31T06:39:57.050Z","updatedAt":"2026-08-31T06:39:58.973Z"},{"id":"doi:10.5281/zenodo.20151613","name":"Ague Cove Thermal Infrared Mapping (April 25, 2026 21:49-22:07)","source":"datacite","abstract":"This dataset was obtained using FLIR Vue TZ20R mounted on DJI Matrice 300 UAV in Ague Cove, Guam on April 25, 2026 from 9:49 PM to 10:07 PM (ChST) and includes raw unprocessed (1) thermal infrared images taken at 135 feet above ground level, (2) thermal infrared image taken at 390 feet above ground level, (3) thermal infrared video recording and (4) related aircraft flight record. Input parameters are as follows: (1) Reflected Temperature: 74F; (2) Atmospheric Temperature: 83F; (3) Isotherm Threshold: 81.3F and (4) Emissivity: 0.98.","url":"https://doi.org/10.5281/zenodo.20151613","authors":["Mendiola, Melanie"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.20151613","addedAt":"2026-08-31T06:39:57.050Z","updatedAt":"2026-08-31T06:39:58.973Z"},{"id":"doi:10.5281/zenodo.20152252","name":"Ague Cove Thermal Infrared Mapping (April 26, 2026 01:01-01:20)","source":"datacite","abstract":"This dataset was obtained using FLIR Vue TZ20R mounted on DJI Matrice 300 UAV in Ague Cove, Guam on April 26, 2026 from 01:01 AM to 01:20 AM (ChST) and includes raw unprocessed (1) thermal infrared images taken at 135 feet above ground level, (2) thermal infrared image taken at 390 feet above ground level, (3) thermal infrared video recording and (4) related aircraft flight record. Input parameters are as follows: (1) Reflected Temperature: 67F; (2) Atmospheric Temperature: 81F; (3) Isotherm Threshold: 81.3F and (4) Emissivity: 0.98.","url":"https://doi.org/10.5281/zenodo.20152252","authors":["Mendiola, Melanie"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.20152252","addedAt":"2026-08-31T06:39:57.050Z","updatedAt":"2026-08-31T06:39:58.973Z"},{"id":"doi:10.5281/zenodo.20152253","name":"Ague Cove Thermal Infrared Mapping (April 26, 2026 01:01-01:20)","source":"datacite","abstract":"This dataset was obtained using FLIR Vue TZ20R mounted on DJI Matrice 300 UAV in Ague Cove, Guam on April 26, 2026 from 01:01 AM to 01:20 AM (ChST) and includes raw unprocessed (1) thermal infrared images taken at 135 feet above ground level, (2) thermal infrared image taken at 390 feet above ground level, (3) thermal infrared video recording and (4) related aircraft flight record. Input parameters are as follows: (1) Reflected Temperature: 67F; (2) Atmospheric Temperature: 81F; (3) Isotherm Threshold: 81.3F and (4) Emissivity: 0.98.","url":"https://doi.org/10.5281/zenodo.20152253","authors":["Mendiola, Melanie"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.20152253","addedAt":"2026-08-31T06:39:57.050Z","updatedAt":"2026-08-31T06:39:58.973Z"},{"id":"doi:10.5281/zenodo.20152413","name":"Ague Cove Thermal Infrared Mapping (April 26, 2026 03:26-03:43)","source":"datacite","abstract":"This dataset was obtained using FLIR Vue TZ20R mounted on DJI Matrice 300 UAV in Ague Cove, Guam on April 26, 2026 from 03:26 AM to 03:43 AM (ChST) and includes raw unprocessed (1) thermal infrared images taken at 135 feet above ground level, (2) thermal infrared image taken at 390 feet above ground level, (3) thermal infrared video recording and (4) related aircraft flight record. Input parameters are as follows: (1) Reflected Temperature: 66F; (2) Atmospheric Temperature: 80F; (3) Isotherm Threshold: 81.3F and (4) Emissivity: 0.98.","url":"https://doi.org/10.5281/zenodo.20152413","authors":["Mendiola, Melanie"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.20152413","addedAt":"2026-08-31T06:39:57.050Z","updatedAt":"2026-08-31T06:39:58.973Z"},{"id":"doi:10.5281/zenodo.20152414","name":"Ague Cove Thermal Infrared Mapping (April 26, 2026 03:26-03:43)","source":"datacite","abstract":"This dataset was obtained using FLIR Vue TZ20R mounted on DJI Matrice 300 UAV in Ague Cove, Guam on April 26, 2026 from 03:26 AM to 03:43 AM (ChST) and includes raw unprocessed (1) thermal infrared images taken at 135 feet above ground level, (2) thermal infrared image taken at 390 feet above ground level, (3) thermal infrared video recording and (4) related aircraft flight record. Input parameters are as follows: (1) Reflected Temperature: 66F; (2) Atmospheric Temperature: 80F; (3) Isotherm Threshold: 81.3F and (4) Emissivity: 0.98.","url":"https://doi.org/10.5281/zenodo.20152414","authors":["Mendiola, Melanie"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.20152414","addedAt":"2026-08-31T06:39:57.050Z","updatedAt":"2026-08-31T06:39:58.973Z"},{"id":"doi:10.6073/pasta/2610bbc137b71606032f7fe0d80f8f0f","name":"Mourning Warbler vocalizations and locations from a wellsite in Alberta, 2016","source":"datacite","abstract":"The dataset includes 24 spatially localized Mourning Warbler (Geothlypis philadelphia) vocalizations. The acoustic localization array used to generate these data was centred on a reclaimed wellsite in deciduous-dominated boreal forest near Lac La Biche, Alberta, Canada. These data were collected as a proof of concept to assess whether bird microhabitat use could be mapped by combining fine-scale bird locations derived from acoustic localization with detailed vegetation structure data obtained through UAV photogrammetry. The results of the study were published in Wilson et al. (2020). References: Wilson SJ, Hedley RW, Rahman MM, Bayne EM. 2020. Use of an unmanned aerial vehicle and sound localization to determine bird microhabitat. Journal of Unmanned Vehicle Systems. 9(1):59–66. doi:10.1139/juvs-2020-0021.","url":"https://doi.org/10.6073/pasta/2610bbc137b71606032f7fe0d80f8f0f","authors":["Wilson, Scott J.","Hedley, Richard","Bayne, Erin"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.6073/pasta/2610bbc137b71606032f7fe0d80f8f0f","addedAt":"2026-08-31T06:39:57.050Z","updatedAt":"2026-08-31T06:39:57.050Z"},{"id":"doi:10.5281/zenodo.21598507","name":"Soil Erosion Vulnerability Mapping and Implication on Vegetation in Parts of Oshun River Basin, Nigeria","source":"datacite","abstract":"Soil erosion caused by water has been identified as a threat washing away top soil nutrients needed for healthy plant growth. It is thus required to identify and map areas vulnerable to erosion for effective conservation of the natural resources and maintain vegetation health. This research thus analysed soil erosion vulnerability and its implication on vegetation in parts of Oshun river basin, Nigeria. Data used for this research included: Tropical Rainfall Measuring Mission (TRMM), LandSat Image, Soil Map, Topographic Map, Small Unmanned Aerial Vehicle and Global Positioning System. All the dataset were integrated into GIS enabled software where Multi-criteria Analysis was used to map soil erosion vulnerability. Normalized Difference Vegetation Index was used to assess basin vegetation. The result showed that 86.38% of the basin soil is moderately vulnerable and soil under dense vegetation are less vulnerable to erosion.","url":"https://doi.org/10.5281/zenodo.21598507","authors":["Samson, Samuel A.","Ayanlade, Ayansina","Alabi, Omowunmi","Alaga, Abayomi Taofiq","Oloko-oba, Mustapha Olayemi","Ogunyemi, Samson A.","Badru, Rahmon A."],"tags":["Erosion","GIS","NDVI","Vegetation","Vulnerability"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2017","doi":"10.5281/zenodo.21598507","addedAt":"2026-08-31T06:39:57.050Z","updatedAt":"2026-08-31T06:39:57.050Z"},{"id":"doi:10.5281/zenodo.21598508","name":"Soil Erosion Vulnerability Mapping and Implication on Vegetation in Parts of Oshun River Basin, Nigeria","source":"datacite","abstract":"Soil erosion caused by water has been identified as a threat washing away top soil nutrients needed for healthy plant growth. It is thus required to identify and map areas vulnerable to erosion for effective conservation of the natural resources and maintain vegetation health. This research thus analysed soil erosion vulnerability and its implication on vegetation in parts of Oshun river basin, Nigeria. Data used for this research included: Tropical Rainfall Measuring Mission (TRMM), LandSat Image, Soil Map, Topographic Map, Small Unmanned Aerial Vehicle and Global Positioning System. All the dataset were integrated into GIS enabled software where Multi-criteria Analysis was used to map soil erosion vulnerability. Normalized Difference Vegetation Index was used to assess basin vegetation. The result showed that 86.38% of the basin soil is moderately vulnerable and soil under dense vegetation are less vulnerable to erosion.","url":"https://doi.org/10.5281/zenodo.21598508","authors":["Samson, Samuel A.","Ayanlade, Ayansina","Alabi, Omowunmi","Alaga, Abayomi Taofiq","Oloko-oba, Mustapha Olayemi","Ogunyemi, Samson A.","Badru, Rahmon A."],"tags":["Erosion","GIS","NDVI","Vegetation","Vulnerability"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2017","doi":"10.5281/zenodo.21598508","addedAt":"2026-08-31T06:39:57.050Z","updatedAt":"2026-08-31T06:39:57.050Z"},{"id":"doi:10.5281/zenodo.22044260","name":"ARIES-Mission: Auditable Routing of Frozen Vision-Language UAV Waypoints","source":"datacite","abstract":"Reported five-candidate ARIES-Mission routing implementation, frozen derived waypoint sets, seeds, route outputs and focused reproduction instructions for the Scientific Reports revision.","url":"https://doi.org/10.5281/zenodo.22044260","authors":["Wei, Junhao","Li, Haochen","Zhao, Yifu","Yao, Dexing","Li, Yanxiao","Lu, Baili","Im, Sio-Kei","Yang, Xu","Wang, Yapeng"],"tags":["unmanned aerial vehicle","vision-language model","waypoint routing","travelling salesperson problem","route selection"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.22044260","addedAt":"2026-08-31T06:39:57.050Z","updatedAt":"2026-08-31T06:39:57.050Z"},{"id":"doi:10.5281/zenodo.22044261","name":"ARIES-Mission: Auditable Routing of Frozen Vision-Language UAV Waypoints","source":"datacite","abstract":"Reported five-candidate ARIES-Mission routing implementation, frozen derived waypoint sets, seeds, route outputs and focused reproduction instructions for the Scientific Reports revision.","url":"https://doi.org/10.5281/zenodo.22044261","authors":["Wei, Junhao","Li, Haochen","Zhao, Yifu","Yao, Dexing","Li, Yanxiao","Lu, Baili","Im, Sio-Kei","Yang, Xu","Wang, Yapeng"],"tags":["unmanned aerial vehicle","vision-language model","waypoint routing","travelling salesperson problem","route selection"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.22044261","addedAt":"2026-08-31T06:39:57.050Z","updatedAt":"2026-08-31T06:39:57.050Z"},{"id":"doi:10.5281/zenodo.19669022","name":"Human Gesture Dataset for UAV Control","source":"datacite","abstract":"This dataset contains labeled images for human gesture recognition applied to Unmanned Aerial Vehicle (UAV) control using computer vision and deep learning techniques. The dataset is organized in a single directory named dataset, where each subfolder represents a distinct class corresponding to a control command. The classes included are: forward backward left right up down stopped w_pee x Each subfolder contains images of a human operator performing the respective gesture. The dataset was collected in real-world environment, including variations in lighting conditions, backgrounds, distances, and execution styles, aiming to improve robustness in practical UAV applications. The dataset is designed for image classification tasks, particularly using deep learning models such as YOLOv8 (classification mode), and supports research in: Human–Drone Interaction (HDI) Gesture-based control systems Computer Vision for UAV navigation Real-time embedded AI systems Special classes such as w_pee (contextual/no-PPE condition) and x (undefined or irrelevant actions) are included to improve model generalization and safety by allowing the system to correctly identify non-command situations. This dataset was used to develop and validate a real-time gesture recognition system integrated with a UAV, enabling intuitive and safe human–robot interaction.","url":"https://doi.org/10.5281/zenodo.19669022","authors":["Torres Cabral, Iohana Angélica","Wehrmeister, Marco Aurelio"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.19669022","addedAt":"2026-08-31T06:39:57.050Z","updatedAt":"2026-08-31T06:39:57.050Z"},{"id":"doi:10.5281/zenodo.19669024","name":"Human Gesture Dataset for UAV Control","source":"datacite","abstract":"This dataset contains labeled images for human gesture recognition applied to Unmanned Aerial Vehicle (UAV) control using computer vision and deep learning techniques. The dataset is organized in a single directory named dataset, where each subfolder represents a distinct class corresponding to a control command. The classes included are: forward backward left right up down stopped w_pee x Each subfolder contains images of a human operator performing the respective gesture. The dataset was collected in real-world environment, including variations in lighting conditions, backgrounds, distances, and execution styles, aiming to improve robustness in practical UAV applications. The dataset is designed for image classification tasks, particularly using deep learning models such as YOLOv8 (classification mode), and supports research in: Human–Drone Interaction (HDI) Gesture-based control systems Computer Vision for UAV navigation Real-time embedded AI systems Special classes such as w_pee (contextual/no-PPE condition) and x (undefined or irrelevant actions) are included to improve model generalization and safety by allowing the system to correctly identify non-command situations. This dataset was used to develop and validate a real-time gesture recognition system integrated with a UAV, enabling intuitive and safe human–robot interaction.","url":"https://doi.org/10.5281/zenodo.19669024","authors":["Torres Cabral, Iohana Angélica","Wehrmeister, Marco Aurelio"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.19669024","addedAt":"2026-08-31T06:39:57.050Z","updatedAt":"2026-08-31T06:39:57.050Z"},{"id":"doi:10.18720/spbpu/3/2026/vr/vr26-5960","name":"Разработка системы обнаружения разлива нефти в открытом море в реальном времени на основе технологий ROS2 и YOLO","source":"datacite","abstract":"В данном исследовании мы стремимся создать систему обнаружения аномалий в режиме реального времени на основе ROS2 и YOLO, уделяя особое внимание мониторингу утечек нефти в режиме реального времени, и провели проверку на имитационной модели беспилотного летательного аппарата. Основная цель заключается в реализации автономного обнаружения аномальных ситуаций (утечек нефти) в отношении целевых объектов во время полета, а также в успешном выполнении полного цикла автоматизированного оповещения, включающего «автономный обход — распознавание утечки нефти — зависание — съемку для фиксации доказательств». Задачи, которые решались в ходе исследования: 1. Интеграция ROS2 Humble с симулятором PX4 SITL , Gazebo Harmonic и YOLO. 2. Обучение модели YOLOv8 на основе аннотированного набора данных аэрофотосъемки, предназначенного для обнаружения разливов нефти с помощью изображений с дронов, и реализация узла визуального обнаружения в реальном времени. 3. Разработка узла управления на базе MAVLink и QGroundControl для реализации автоматического прерывания и возобновления задач. 4. Проведение симуляции интеграции дронов. 5. Регистрация и анализ результатов симуляции и результатов обучения модели YOLO. Данный проект основан на следующих открытых программных продуктах: PX4 Autopilot, ROS2, Gazebo, MAVSDK, Ultralytics YOLOv8, QGroundControl. В процессе разработки использовались объектно-ориентированное программирование, асинхронное программирование (asyncio) и протокол ROS. Результаты: успешно разработана система обнаружения аномалий в режиме реального времени (для обнаружения утечек нефти в море), которая способна в режиме реального времени обнаруживать аномалии в море во время симуляции полета, автоматически приостанавливать задание, сохранять фотографии и координаты, а затем продолжать полет. Система демонстрирует высокую скорость реагирования, хорошую стабильность и высокую точность модели. Области применения результатов: промышленный мониторинг, инспекции безопасности, машинное зрение, автоматизированные системы обнаружения.","url":"https://doi.org/10.18720/spbpu/3/2026/vr/vr26-5960","authors":["Чжан Цзяпэн"],"tags":["ROS2","YOLO","визуальное обнаружение аномалий","реальное время","БПЛА","симуляция","visual anomaly detection","real time"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.18720/spbpu/3/2026/vr/vr26-5960","addedAt":"2026-08-31T06:39:57.050Z","updatedAt":"2026-08-31T06:39:57.050Z"},{"id":"doi:10.18720/spbpu/3/2026/vr/vr26-2741","name":"Разработка системы стабилизации беспилотного летательного аппарата на основе технического зрения и инерциальных датчиков","source":"datacite","abstract":"Данная работа посвящена разработке системы стабилизации беспилотного летательного на основе технического зрения и инерциальных датчиков в условиях отсутствия сигналов глобальной навигационной спутниковой системы на примере симуляционной среды на базе ArduPilot SITL и алгоритма визуально-инерциальной одометрии OpenVINS. В ходе работы был выполнен обзор существующих методов позиционирования в условиях отсутствия сигналов глобальной навигационной спутниковой системы. Выполнено алгоритмическое и математическое описание используемого алгоритма визуально-инерциальной одометрии. Осуществлено имитационное испытание разработанной системы в условиях сельской местности. На основании анализа полученных результатов были сформулированы выводы о производительности и эффективности используемых решений, а также дальнейшие рекомендации исследования.","url":"https://doi.org/10.18720/spbpu/3/2026/vr/vr26-2741","authors":["Обухова, Кристина Витальевна"],"tags":["стабилизация","беспилотный летательный аппарат","техническое зрение","инерциальный измерительный модуль","визуально-инерциальная одометрия","ArduPilot SITL","OpenVINS","robot operating system"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.18720/spbpu/3/2026/vr/vr26-2741","addedAt":"2026-08-31T06:39:57.050Z","updatedAt":"2026-08-31T06:39:58.778Z"},{"id":"doi:10.48550/arxiv.2512.17656","name":"UAV-Enabled ISAC: Towards On-Demand Sensing Services and Enhanced Communication","source":"datacite","abstract":"In this paper, we investigate an integrated sensing-and-communication (ISAC) network enabled by an unmanned aerial vehicle (UAV). The UAV is supposed to fly along a periodical circular trajectory at a fixed height for ISAC service supply from the sky. We consider on-demand sensing services, where on-demand detection and on-demand localization requests may be activated at any time toward any position within the targeted serving region. While guaranteeing satisfactory accuracy for both on-demand sensing tasks, we aim at maximizing the minimum achievable throughput among all communication users, via joint optimizing the UAV trajectory and communication user scheduling. To address the complicated problem with infinite sensing constraints, we characterize the on-demand detection constraint as a restricted deployment area for UAV and the on-demand localization constraint as Cramer-Rao Bound (CRB) constraints over finite reference target points, based on which the original problem is simplified to more tractable one. Afterwards, particularly aiming to ensure no violations of CRB constraints, we propose a convex approximation for the reformulated problem, where tight approximation is guaranteed at given local solution. The construction strategy for convex problem approximation allows an efficient iterative algorithm with verified convergence to a superior suboptimal solution. At last, with simulations, we verified the applicability of our developed optimization scheme in strictly fulfilling the on-demand sensing constraints and the effectiveness of our proposed solution for simultaneously enhancing the communication throughput in UAV-enabled ISAC.","url":"https://doi.org/10.48550/arxiv.2512.17656","authors":["Yuan, Xiaopeng","Wu, Peng","Wang, Xinran","Hu, Yulin","Schmeink, Anke"],"tags":["Systems and Control (eess.SY)","FOS: Electrical engineering, electronic engineering, information engineering"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.48550/arxiv.2512.17656","addedAt":"2026-08-31T06:39:57.050Z","updatedAt":"2026-08-31T06:39:57.050Z"},{"id":"doi:10.48550/arxiv.2608.20278","name":"Secrecy Rate Maximization for UAV-Mounted Six-Dimensional Movable IRS-Assisted ISAC Systems","source":"datacite","abstract":"Integrated sensing and communication (ISAC) is a key enabling technology for 6G wireless networks, but its broadcast nature raises a physical-layer security concern when the sensing target can act as a potential eavesdropper. Although intelligent reflecting surfaces (IRSs) can enhance wireless propagation and improve secrecy, existing secure IRS-assisted ISAC designs are mostly limited to fixed deployments and passive phase control, which offer limited spatial adaptability in line-of-sight-dominated low-altitude scenarios. To address this limitation, we investigate an unmanned aerial vehicle (UAV)-mounted six-dimensional movable IRS-assisted secure ISAC system, where the IRS location, orientation, and reflection coefficients are jointly optimized with the BS beamformer to maximize the secrecy rate under communication quality-of-service (QoS), power, unit-modulus, and visibility constraints. The resulting problem is highly non-convex due to the coupled active/passive beamforming variables and the location-and-orientation-dependent (pose-dependent) channel responses. To solve it efficiently, we develop a three-block alternating optimization (AO) framework, in which the active beamformer, IRS pose, and passive reflection vector are updated via linearized ADMM, warm-started particle swarm optimization, and Riemannian gradient descent, respectively. Simulation results show that the proposed design significantly outperforms fixed-location and orientation-only baselines, highlighting the importance of joint translation, rotation, and phase control for secure ISAC.","url":"https://doi.org/10.48550/arxiv.2608.20278","authors":["Hong, Chengye","Shi, Botang","Zhu, Rongkun","Wang, Yuhan","Jiang, Chenyiming","Xie, Lei"],"tags":["Signal Processing (eess.SP)","FOS: Electrical engineering, electronic engineering, information engineering"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.48550/arxiv.2608.20278","addedAt":"2026-08-31T06:39:57.050Z","updatedAt":"2026-08-31T06:40:08.031Z"},{"id":"doi:10.48550/arxiv.2608.19850","name":"Resilience in Trustworthy Wireless Systems","source":"datacite","abstract":"Resilience has emerged as a fundamental capability for future wireless systems operating in dynamic and uncertain environments. Although resilience has attracted growing attention across academia, industry, and standardization, its conceptual scope, enabling mechanisms, and realization techniques remain fragmented. This paper presents a systematic framework of resilience in wireless systems from a trustworthiness perspective. We first formalize the concept of resilience and distinguish it from related uncertainty-aware terminologies, including reliability, robustness, adaptability, survivability, and recoverability. We then establish a hierarchical framework that organizes resilience into capability dimensions and enabling mechanisms, and that quantifies resilience through different technical aspects. We further use physical links and unmanned aerial vehicle networks as representative wireless scenarios to demonstrate how resilience can be systematically realized through the joint design of architectures, operations, and algorithms. Finally, we examine the fundamental trade-offs in resilience engineering: Improving resilience generally incurs costs in resource efficiency, nominal performance, information acquisition, implementation complexity, and latency.","url":"https://doi.org/10.48550/arxiv.2608.19850","authors":["Wang, Shixiong","Zhang, Yumeng","Li, Hongyu"],"tags":["Information Theory (cs.IT)","Signal Processing (eess.SP)","FOS: Computer and information sciences","FOS: Electrical engineering, electronic engineering, information engineering"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.48550/arxiv.2608.19850","addedAt":"2026-08-31T06:39:57.050Z","updatedAt":"2026-08-31T06:39:57.050Z"},{"id":"doi:10.48550/arxiv.2608.19638","name":"Digital Tides: A Fluid-Dynamic Framework for Flux-Aware Infrastructure Provisioning in UAV Logistics Networks","source":"datacite","abstract":"The emergence of high-frequency pulsating logistics unmanned aerial vehicle (UAV) swarms gives rise to ``Digital Tides'', i.e., complex traffic dynamics that challenge sustainable resource provisioning in mobile computing networks. Conventional infrastructure provisioning strategies, which typically rely on static snapshot-based analysis and localized density estimation, fail to capture the macroscopic advection of computational workloads. As a result, reactive resource activation suffers from inherent hysteresis, yielding nominal efficiency gains at the cost of mission-critical service loss at the advancing wavefront. To address this issue, we develop a fluid-based spatiotemporal framework by explicitly solving the continuity equation to characterize the macroscopic velocity field of the workload flow. Building on this framework, we propose a flux-aware asymmetric activation strategy that leverages the derived information flux vector as a kinematic precursor of demand propagation. Unlike symmetric thresholding, the proposed control logic decouples activation and deactivation dynamics. Theoretical analysis confirms the intrinsic spatial phase-lead of the flux signal and shows that the proposed strategy generates a proactive guard ring to compensate for service setup latency, including delays caused by mobile edge computing container cold-starts. We further derive closed-form expressions for instantaneous service availability and period-average energy efficiency. In addition, we formulate a quality-of-service-penalized metric to evaluate effective energy efficiency under strict outage constraints. Numerical results show that the proposed flux-driven strategy enables zero-latency tracking of the mobile wavefront and achieves a Pareto-optimal trade-off between service reliability and energy consumption, outperforming reactive baselines in dynamic logistics corridors.","url":"https://doi.org/10.48550/arxiv.2608.19638","authors":["Dong, Wen-Yu","Zhao, Song","Han, Rui-Si","Bi, Qi","Chen, Sheng"],"tags":["Networking and Internet Architecture (cs.NI)","FOS: Computer and information sciences"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.48550/arxiv.2608.19638","addedAt":"2026-08-31T06:39:57.050Z","updatedAt":"2026-08-31T06:39:57.050Z"},{"id":"doi:10.5281/zenodo.20021048","name":"REVIEW ON LONG ENDURANCE TILT ROTOR FIXED WING UAV","source":"datacite","abstract":"This project presents the design and development of a long-endurance tilt-rotor fixed-wing e-VTOL Unmanned Aerial Vehicle (UAV) capable of vertical take-off and landing like a helicopter while achieving efficient forward flight like a conventional aircraft. The primary objective is to create a lightweight, aero- dynamically optimised platform suitable for medium-altitude surveillance missions requiring extended flight duration, operational flexibility, and high reliability. By integrating the hovering stability of a multirotor with the aerodynamic efficiency of a fixed-wing configuration, the proposed UAV enables seamless and safe transition between flight modes. The design strategy emphasises endurance enhancement, structural weight reduction, efficient propulsion, and stability during mode switching. This review analyses key aspects, including hybrid aerodynamic behaviour, tilt-rotor mechanisms, structural design considerations, and control challenges associated with e-VTOL systems. The overall scope contributes toward developing a versatile UAV system capable of stable flight performance, reliable mission execution, and improved operational capability across diverse surveillance environments.","url":"https://doi.org/10.5281/zenodo.20021048","authors":["BAYAMUTHAKA, DHANUNJAYA"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.20021048","addedAt":"2026-08-31T06:39:57.050Z","updatedAt":"2026-08-31T06:39:58.778Z"},{"id":"doi:10.5281/zenodo.20021049","name":"REVIEW ON LONG ENDURANCE TILT ROTOR FIXED WING UAV","source":"datacite","abstract":"This project presents the design and development of a long-endurance tilt-rotor fixed-wing e-VTOL Unmanned Aerial Vehicle (UAV) capable of vertical take-off and landing like a helicopter while achieving efficient forward flight like a conventional aircraft. The primary objective is to create a lightweight, aero- dynamically optimised platform suitable for medium-altitude surveillance missions requiring extended flight duration, operational flexibility, and high reliability. By integrating the hovering stability of a multirotor with the aerodynamic efficiency of a fixed-wing configuration, the proposed UAV enables seamless and safe transition between flight modes. The design strategy emphasises endurance enhancement, structural weight reduction, efficient propulsion, and stability during mode switching. This review analyses key aspects, including hybrid aerodynamic behaviour, tilt-rotor mechanisms, structural design considerations, and control challenges associated with e-VTOL systems. The overall scope contributes toward developing a versatile UAV system capable of stable flight performance, reliable mission execution, and improved operational capability across diverse surveillance environments.","url":"https://doi.org/10.5281/zenodo.20021049","authors":["BAYAMUTHAKA, DHANUNJAYA"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.20021049","addedAt":"2026-08-31T06:39:57.050Z","updatedAt":"2026-08-31T06:39:58.778Z"},{"id":"doi:10.5281/zenodo.10264410","name":"Dublin Bay South 2019-20","source":"datacite","abstract":"In Dublin Bay South, the CHERISH project surveyed the sandy intertidal area between Dun Laoghaire and Irishtown between 2019 and 2020 using an unmanned aerial vehicle close to low tide. Data from multiple flights were combined to produce one 3D model of the intertidal area. Multiple channels along which water floods and ebbs are traced by dark seaweed. Sand bars help break the force of waves before they reach the coastline. Human activity has altered this coastline: Booterstown Marsh is due to the railway, and sedimentation changed after Dún Laoghaire harbour was built. Climate projections predict increased intensity of extreme weather events (wind and rainfall), increased sea-level rise and increased storm wave heights. These will impact Ireland's coastline changing erosion patterns and other sediment transport processes. Baseline data like this allow us to monitor change and refine models of water currents operating in this important bay. Source: Objaverse 1.0 / Sketchfab","url":"https://doi.org/10.5281/zenodo.10264410","authors":["GeologicalSurveyIreland"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2020","doi":"10.5281/zenodo.10264410","addedAt":"2026-08-31T06:39:57.050Z","updatedAt":"2026-08-31T06:39:57.050Z"},{"id":"doi:10.5281/zenodo.10264411","name":"Dublin Bay South 2019-20","source":"datacite","abstract":"In Dublin Bay South, the CHERISH project surveyed the sandy intertidal area between Dun Laoghaire and Irishtown between 2019 and 2020 using an unmanned aerial vehicle close to low tide. Data from multiple flights were combined to produce one 3D model of the intertidal area. Multiple channels along which water floods and ebbs are traced by dark seaweed. Sand bars help break the force of waves before they reach the coastline. Human activity has altered this coastline: Booterstown Marsh is due to the railway, and sedimentation changed after Dún Laoghaire harbour was built. Climate projections predict increased intensity of extreme weather events (wind and rainfall), increased sea-level rise and increased storm wave heights. These will impact Ireland's coastline changing erosion patterns and other sediment transport processes. Baseline data like this allow us to monitor change and refine models of water currents operating in this important bay. Source: Objaverse 1.0 / Sketchfab","url":"https://doi.org/10.5281/zenodo.10264411","authors":["GeologicalSurveyIreland"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2020","doi":"10.5281/zenodo.10264411","addedAt":"2026-08-31T06:39:57.050Z","updatedAt":"2026-08-31T06:39:57.050Z"},{"id":"doi:10.5281/zenodo.21100998","name":"D3.1: Robot mission planning, navigation, safety and communications 1","source":"datacite","abstract":"This deliverable, D3.1, constitutes the first comprehensive specification of the autonomy, navigation,safety, and communication capabilities developed within Work Package 3 (WP3) of the TRIFFIDproject. Delivered at month 15, it establishes the conceptual, methodological, and software foundationsupon which subsequent integration, refinement, and validation activities will be built. The documentdefines a robust and implementable baseline that enables autonomous robotic operation in complexdisaster-response scenarios and provides a flexible foundation for the integration with the evolvingcomponents developed in other work packages. Thereby, D3.1 plays a pivotal role in aligning theproject’s high-level objectives with concrete technical solutions, ensuring that autonomy-relateddevelopments proceed in a structured, interoperable, and verifiable manner.Within the overall TRIFFID framework, WP3 is positioned as the operational core that transformsperception, human input, and mission objectives into safe and purposeful robot behavior. The workpackage explicitly addresses both the unmanned aerial vehicle (UAV) and the unmanned ground vehicle(UGV) as complementary robotic assets within a hybrid air-ground system. The UAV benefits from themature, professional, off-the-shelf software ecosystem provided by DJI, enabling reliable execution oftask and motion planning (T3.1), autonomous navigation (T3.2), monitoring and recovery behaviors(T3.3), and communication hardware (T3.4). This allows the UAV to serve as a robust aerial sensingand mapping platform, fully integrated with the Ground Station and perception pipelines. Building onthese solid UAV foundations, this deliverable emphasizes the UGV, where research, development, andsystem integration efforts are advancing its level of autonomy and robustness to meet the specificrequirements of First Responder (FR) field operations. While other work packages address sensing,semantic understanding, and human-robot interaction, WP3 consolidates these inputs into planningdecisions, navigation actions, safety supervision, and recovery strategies executed primarily onboardthe UGV.D3.1 frames WP3 key tasks where abstract goals and situational awareness are translated into concrete,verifiable actions, ensuring reliable operation in environments characterized by uncertainty, partialobservability, and potentially degraded communications. Hence, D3.1 provides a contribution aroundfour tightly interconnected tasks following the WP3 structures, each addressing a distinct butinterdependent aspect of autonomous operation. Task T3.1 focuses on dynamic task and missionplanning, defining how high-level operational intent is represented, reasoned upon, and dispatched tothe robotic platforms. Task T3.2 addresses autonomous navigation, covering the mechanisms that allowthe UGV and UAV to move safely and effectively through unstructured and potentially hazardousenvironments. Task T3.3 introduces safety monitoring and fault recovery, ensuring that autonomy iscontinuously supervised and that deviations, failures, or risky situations are detected and handled in aprincipled manner. Task T3.4 defines the communications architecture that enables information flowbetween robots and the ground station, recognizing communication as a mission-critical resource ratherthan a transparent background service. In general, D3.1 emphasizes that these tasks cannot be treatedin isolation, and therefore devotes substantial effort to clarifying their interfaces, data flows, and mutualdependencies.At the mission-planning level, D3.1 presents a hierarchical planning and execution approach designedto balance deliberation and reactivity. The ground-station mission planner manages mission objectives,temporal constraints, and coordination requirements, providing a framework not only for humansupervision and intervention, but also for actively guiding and coordinating system operations. Thisdeliverable describes the adoption of a timeline-based pl","url":"https://doi.org/10.5281/zenodo.21100998","authors":["Santamaria-Navarro, Angel","Umbrico, A.","Rompogiannakis, Emmanouil Eleftherios"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.21100998","addedAt":"2026-08-31T06:39:57.050Z","updatedAt":"2026-08-31T06:39:57.050Z"},{"id":"doi:10.5281/zenodo.21100999","name":"D3.1: Robot mission planning, navigation, safety and communications 1","source":"datacite","abstract":"This deliverable, D3.1, constitutes the first comprehensive specification of the autonomy, navigation,safety, and communication capabilities developed within Work Package 3 (WP3) of the TRIFFIDproject. Delivered at month 15, it establishes the conceptual, methodological, and software foundationsupon which subsequent integration, refinement, and validation activities will be built. The documentdefines a robust and implementable baseline that enables autonomous robotic operation in complexdisaster-response scenarios and provides a flexible foundation for the integration with the evolvingcomponents developed in other work packages. Thereby, D3.1 plays a pivotal role in aligning theproject’s high-level objectives with concrete technical solutions, ensuring that autonomy-relateddevelopments proceed in a structured, interoperable, and verifiable manner.Within the overall TRIFFID framework, WP3 is positioned as the operational core that transformsperception, human input, and mission objectives into safe and purposeful robot behavior. The workpackage explicitly addresses both the unmanned aerial vehicle (UAV) and the unmanned ground vehicle(UGV) as complementary robotic assets within a hybrid air-ground system. The UAV benefits from themature, professional, off-the-shelf software ecosystem provided by DJI, enabling reliable execution oftask and motion planning (T3.1), autonomous navigation (T3.2), monitoring and recovery behaviors(T3.3), and communication hardware (T3.4). This allows the UAV to serve as a robust aerial sensingand mapping platform, fully integrated with the Ground Station and perception pipelines. Building onthese solid UAV foundations, this deliverable emphasizes the UGV, where research, development, andsystem integration efforts are advancing its level of autonomy and robustness to meet the specificrequirements of First Responder (FR) field operations. While other work packages address sensing,semantic understanding, and human-robot interaction, WP3 consolidates these inputs into planningdecisions, navigation actions, safety supervision, and recovery strategies executed primarily onboardthe UGV.D3.1 frames WP3 key tasks where abstract goals and situational awareness are translated into concrete,verifiable actions, ensuring reliable operation in environments characterized by uncertainty, partialobservability, and potentially degraded communications. Hence, D3.1 provides a contribution aroundfour tightly interconnected tasks following the WP3 structures, each addressing a distinct butinterdependent aspect of autonomous operation. Task T3.1 focuses on dynamic task and missionplanning, defining how high-level operational intent is represented, reasoned upon, and dispatched tothe robotic platforms. Task T3.2 addresses autonomous navigation, covering the mechanisms that allowthe UGV and UAV to move safely and effectively through unstructured and potentially hazardousenvironments. Task T3.3 introduces safety monitoring and fault recovery, ensuring that autonomy iscontinuously supervised and that deviations, failures, or risky situations are detected and handled in aprincipled manner. Task T3.4 defines the communications architecture that enables information flowbetween robots and the ground station, recognizing communication as a mission-critical resource ratherthan a transparent background service. In general, D3.1 emphasizes that these tasks cannot be treatedin isolation, and therefore devotes substantial effort to clarifying their interfaces, data flows, and mutualdependencies.At the mission-planning level, D3.1 presents a hierarchical planning and execution approach designedto balance deliberation and reactivity. The ground-station mission planner manages mission objectives,temporal constraints, and coordination requirements, providing a framework not only for humansupervision and intervention, but also for actively guiding and coordinating system operations. Thisdeliverable describes the adoption of a timeline-based pl","url":"https://doi.org/10.5281/zenodo.21100999","authors":["Santamaria-Navarro, Angel","Umbrico, A.","Rompogiannakis, Emmanouil Eleftherios"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.21100999","addedAt":"2026-08-31T06:39:57.050Z","updatedAt":"2026-08-31T06:39:57.050Z"},{"id":"doi:10.5281/zenodo.18521367","name":"isabelschoeps-thiel/seismic-source: Regelwerk Umgang mit Software, seismische UAV und Drohnen Technologie","source":"datacite","abstract":"Regelwerk Umgang mit Software, seismische UAV und Drohnen Technologie Dieses Regelwerk hat den ausdrücklichen Zweck, jede Form von technologischem Machtmissbrauch, Geheimdienstmanipulation, militärischer Zweckentfremdung, politischer Verfolgung und verdeckter Kontrolle auszuschließen. Technologie darf nicht zum Instrument der Unterdrückung werden. Technologie hat den ZweckLeben zu retten, der Wahrheit aufzudecken und die Welt zu einem besseren Ort zu machen. Jeder Einsatz außerhalb dieser Ordnung gilt als Rechts- und Ethikbruch und hat Strafrechtliche Konsequenzen. Juristische Präambel mit Entwickler- und UrhebersignaturDieses Regelwerk begründet eine verbindliche ethische, rechtliche und technologische Ordnung für den Einsatz von UAV-gestützten seismischen Ortungs-, Hohlraum- und Personendetektionssystemen sowie Drohnen-Technologie. Es basiert auf den grundlegenden Erkenntnissen, dass moderne Hochtechnologien weder von sich aus gut noch böse ist. Sondern ausschließlich durch den Menschen, der sie kontrolliert, bestimmt wird. Verantwortung, Transparenz durch den Urheber, ist die einzige legitime Grundlage. 1. Governance Kontrolle UAV Technologie und ihre ethisch unbedenkliche Nutzung seismische und unterirdische Ortungssysteme. Deshalb fordere ich alle internationale Regierungsmitglieder, die Vereinten Nationen UN, Presse, Medien auf, bitte helfen Sie mir, für humanitäre Hilfe und für Rettung, ist es nie zu spät und gibt es kein Zeitplan! Diese Technologie dient ausschließlich folgenden legitimen Zwecken: Rettung von verschütteten oder eingeschlossenen Menschen Suche nach Überlebenden bei Erdbeben, Explosionen oder Gebäudeeinstürzen Erkennung von Hohlräumen, Tunneln und unterirdischen Strukturen Katastrophenschutz und humanitäre EinsätzeWissenschaftliche, geologische und umweltbezogene Forschung 2. Anerkennung des Dual-Use-Risikos** Die Entwickler und Betreiber erkennen ausdrücklich an, dass diese Technologie eine Dual-Use-Technologie ist.Sie kann genutzt werden für: zivile Rettung Wissenschaft Umwelt- und Geoforschung Täter zu fassen und Opfer zu rettenSie könnte jedoch missbraucht bei: falscher Auswertung der übermittelten Daten um Täter zu schützen ggf um Eruption zu erzeugen Eingriff in Natur undDeshalb ist eine strenge ethische und rechtliche Kontrolle zwingend erforderlich. 3. Verpflichtende Mehrpersonen-Kontrolle Die Technologie darf niemals von einer Einzelperson betrieben oder ausgewertet werden.Jeder Einsatz erfordert mindestens folgende voneinander unabhängige Instanzen: eine staatliche oder katastrophenschutzrechtliche Behörde ein Regierungsmitglied, Staatsoberhaupt bzw berechtigte Regierungsvertreter, Vizepräsidenten eine wissenschaftliche oder akademische Vertretung der Patentinhaber oder Technologie-Eigentümer eine humanitäre oder opferschützende Instanz Kein Scan, keine Auswertung und keine Entscheidung darf von nur einer Person oder nur einer Organisation getroffen werden. Alle Beteiligten müssen gleichzeitig an einem Physischen, Realen Ort anwesend, dokumentiert und zustimmend sein. 4. Beweiskette und Protokollierung Jede Nutzung dieses Systems muss vollständig dokumentiert werden, einschließlich: Datum und Uhrzeit beteiligte Personen autorisierende Institutionen Zweck des Einsatzes technische Metadaten digitale Signaturen unveränderbare Logdateien Diese Daten müssen manipulationssicher gespeichert werden. Eine Nutzung ohne Protokollierung gilt als Missbrauch und muss Strafrechtlich verfolgt werden. 5. Verbot verdeckter oder geheimer Nutzung Diese Technologie darf nicht eingesetzt werden für: das Zurückhalten von Rettungsinformationen das absichtliche Verschweigen gefundener Personen Täter zu schützenWenn Menschen in Gefahr erkannt werden, muss sofort Hilfe eingeleitet werden. Das Verschweigen von Hilfsmaßnahmen ist ein Bruch des Völkerrechts. 6. Vorrang des menschlichen Lebens Der Schutz menschlichen Lebens hat absolute Priorität.Wenn dieses System: verschüttete Menschen eingeschlossene Personen Menschen in ","url":"https://doi.org/10.5281/zenodo.18521367","authors":["Schöps geborene Thiel, Isabel"],"tags":["secmic","UAV seismic source","UAV","Source","Human Rights","Secure Seismic","Drones Technology","UVA Technologie"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.18521367","addedAt":"2026-08-31T06:39:57.050Z","updatedAt":"2026-08-31T06:39:59.255Z"},{"id":"doi:10.34657/340","name":"Regression kriging for improving crop height models fusing ultra-sonic sensing with UAV imagery","source":"datacite","abstract":"A crop height model (CHM) can be an important element of the decision making process in agriculture, because it relates well with many agronomic parameters, e.g., crop height, plant biomass or crop yield. Today, CHMs can be inexpensively obtained from overlapping imagery captured from unmanned aerial vehicle (UAV) platforms or from proximal sensors attached to ground-based vehicles used for regular management. Both approaches have their limitations and combining them with a data fusion may overcome some of these limitations. Therefore, the objective of this study was to investigate if regression kriging, as a geostatistical data fusion approach, can be used to improve the interpolation of ground-based ultrasonic measurements with UAV imagery as covariate. Regression kriging might be suitable because we have a sparse data set (ultrasound) and an exhaustive data set (UAV) and both data sets have favorable properties for geostatistical analysis. To confirm this, we conducted four missions in two different fields in total, where we collected UAV imagery and ultrasonic data alongside. From the overlapping UAV images, surface models and ortho-images were generated with photogrammetric processing. The maps generated by regression kriging were of much higher detail than the smooth maps generated by ordinary kriging, because regression kriging ensures that for each prediction point information from the UAV, imagery is given. The relationship with crop height, fresh biomass and, to a lesser extent, with crop yield, was stronger using CHMs generated by regression kriging than by ordinary kriging. The use of UAV data from the prior mission was also of benefit and could improve map accuracy and quality. Thus, regression kriging is a flexible approach for the integration of UAV imagery with ground-based sensor data, with benefits for precision agriculture-oriented farmers and agricultural service providers.","url":"https://doi.org/10.34657/340","authors":["Schirrmann, Michael","Hamdorf, André","Giebel, Antje","Gleiniger, Franziska","Pflanz, Michael","Dammer, Karl-Heinz"],"tags":["630","Unmanned aerial vehicle","crop surface model","geostatistics","precision agriculture","crop monitoring"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2017","doi":"10.34657/340","addedAt":"2026-08-31T06:39:57.050Z","updatedAt":"2026-08-31T06:39:57.050Z"},{"id":"doi:10.34657/8044","name":"Monitoring Agronomic Parameters of Winter Wheat Crops with Low-Cost UAV Imagery","source":"datacite","abstract":"Monitoring the dynamics in wheat crops requires near-term observations with high spatial resolution due to the complex factors influencing wheat growth variability. We studied the prospects for monitoring the biophysical parameters and nitrogen status in wheat crops with low-cost imagery acquired from unmanned aerial vehicles (UAV) over an 11 ha field. Flight missions were conducted at approximately 50 m in altitude with a commercial copter and camera system—three missions were performed between booting and maturing of the wheat plants and one mission after tillage. Ultra-high resolution orthoimages of 1.2 cm·px−1 and surface models were generated for each mission from the standard red, green and blue (RGB) aerial images. The image variables were extracted from image tone and surface models, e.g., RGB ratios, crop coverage and plant height. During each mission, 20 plots within the wheat canopy with 1 × 1 m2 sample support were selected in the field, and the leaf area index, plant height, fresh and dry biomass and nitrogen concentrations were measured. From the generated UAV imagery, we were able to follow the changes in early senescence at the individual plant level in the wheat crops. Changes in the pattern of the wheat canopy varied drastically from one mission to the next, which supported the need for instantaneous observations, as delivered by UAV imagery. The correlations between the biophysical parameters and image variables were highly significant during each mission, and the regression models calculated with the principal components of the image variables yielded R2 values between 0.70 and 0.97. In contrast, the models of the nitrogen concentrations yielded low R2 values with the best model obtained at flowering (R2 = 0.65). The nitrogen nutrition index was calculated with an accuracy of 0.10 to 0.11 NNI for each mission. For all models, information about the surface models and image tone was important. We conclude that low-cost RGB UAV imagery will strongly aid farmers in observing biophysical characteristics, but it is limited for observing the nitrogen status within wheat crops.","url":"https://doi.org/10.34657/8044","authors":["Schirrmann, Michael","Giebel, Antje","Gleiniger, Franziska","Pflanz, Michael","Lentschke, Jan","Dammer, Karl-Heinz"],"tags":["620","Biomass","Crop surface model","Leaf area index","Nitrogen","NNI","Precision agriculture","Remote sensing"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2016","doi":"10.34657/8044","addedAt":"2026-08-31T06:39:57.050Z","updatedAt":"2026-08-31T06:39:57.050Z"},{"id":"doi:10.34657/5417","name":"Growth Height Determination of Tree Walls for Precise Monitoring in Apple Fruit Production Using UAV Photogrammetry","source":"datacite","abstract":"In apple cultivation, spatial information about phenotypic characteristics of tree walls would be beneficial for precise orchard management. Unmanned aerial vehicles (UAVs) can collect 3D structural information of ground surface objects at high resolution in a cost-effective and versatile way by using photogrammetry. The aim of this study is to delineate tree wall height information in an apple orchard applying a low-altitude flight pattern specifically designed for UAVs. This flight pattern implies small distances between the camera sensor and the tree walls when the camera is positioned in an oblique view toward the trees. In this way, it is assured that the depicted tree crown wall area will be largely covered with a larger ground sampling distance than that recorded from a nadir perspective, especially regarding the lower crown sections. Overlapping oblique view images were used to estimate 3D point cloud models by applying structure-from-motion (SfM) methods to calculate tree wall heights from them. The resulting height models were compared with ground-based light detection and ranging (LiDAR) data as reference. It was shown that the tree wall profiles from the UAV point clouds were strongly correlated with the LiDAR point clouds of two years (2018: R2 = 0.83; 2019: R2 = 0.88). However, underestimation of tree wall heights was detected with mean deviations of −0.11 m and −0.18 m for 2018 and 2019, respectively. This is attributed to the weaknesses of the UAV point clouds in resolving the very fine shoots of apple trees. Therefore, the shown approach is suitable for precise orchard management, but it underestimated vertical tree wall expanses, and widened tree gaps need to be accounted for.","url":"https://doi.org/10.34657/5417","authors":["Hobart, Marius","Pflanz, Michael","Weltzien, Cornelia","Schirrmann, Michael"],"tags":["620","3D point cloud","Apple trees","LiDAR","Oblique view","Orchard","Precision fruticulture","Site-specific"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2020","doi":"10.34657/5417","addedAt":"2026-08-31T06:39:57.050Z","updatedAt":"2026-08-31T06:39:57.050Z"},{"id":"doi:10.5281/zenodo.21000987","name":"Efficiency and Effectiveness of the Introduction of Unmanned Aerial Vehicles as a Complement to Existing Security Apparatus on a Nigerian University","source":"datacite","abstract":"This study evaluated the efficiency and effectiveness of integrating Unmanned Aerial Vehicles (UAVs) into the existing security surveillance architecture of Obafemi Awolowo University (OAU), Ile-Ife, a large public university with a campus area of 5,619.82 hectares. A mixed-methods case study design was employed, utilizing four-year historical security incident records (2021–2025), financial data on surveillance expenditure, a pilot UAV deployment programme, and structured questionnaires administered to 200 non-security and 50 security personnel. Findings revealed that the existing triad of personnel, vehicle patrols and closed-circuit television (CCTV) leaves over 60% of the campus unmonitored, with personnel alone consuming 97.3% of the security budget yet capable of covering only 20.2% of the total area. The introduction of two civilian-grade XT505 UAVs achieved 100% aerial coverage, detected 15.6% of post-deployment incidents, outperforming both vehicle patrols (9.3%) and CCTV (4.6%), at a cost per incident of ₦33,333 compared to ₦202,590 for vehicle patrols and ₦1,406,250 for CCTV. The UAVs were particularly effective in detecting unauthorized access (61.1% of such incidents) and traffic violations, and reduced response times from 10–15 minutes to 2–5 minutes. Stakeholder acceptance was exceptionally high, with 95.7% of non-security respondents and 100% of security personnel supporting full integration. The study concluded that efficiency and effectiveness of integrating Unmanned Aerial Vehicles (UAVs) into the existing security surveillance architecture of the university represent a financially sustainable, operationally superior force multiplier that dramatically enhanced situational awareness and fills massive spatial surveillance gaps. A phased, integrated deployment model is recommended for OAU and similar institutions.","url":"https://doi.org/10.5281/zenodo.21000987","authors":["Bolorunduro E. Moyegun"],"tags":["Unmanned Aerial Vehicles","Security Surveillance","Campus Security"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.21000987","addedAt":"2026-08-31T06:39:57.050Z","updatedAt":"2026-08-31T06:39:59.255Z"},{"id":"doi:10.5281/zenodo.21000988","name":"Efficiency and Effectiveness of the Introduction of Unmanned Aerial Vehicles as a Complement to Existing Security Apparatus on a Nigerian University","source":"datacite","abstract":"This study evaluated the efficiency and effectiveness of integrating Unmanned Aerial Vehicles (UAVs) into the existing security surveillance architecture of Obafemi Awolowo University (OAU), Ile-Ife, a large public university with a campus area of 5,619.82 hectares. A mixed-methods case study design was employed, utilizing four-year historical security incident records (2021–2025), financial data on surveillance expenditure, a pilot UAV deployment programme, and structured questionnaires administered to 200 non-security and 50 security personnel. Findings revealed that the existing triad of personnel, vehicle patrols and closed-circuit television (CCTV) leaves over 60% of the campus unmonitored, with personnel alone consuming 97.3% of the security budget yet capable of covering only 20.2% of the total area. The introduction of two civilian-grade XT505 UAVs achieved 100% aerial coverage, detected 15.6% of post-deployment incidents, outperforming both vehicle patrols (9.3%) and CCTV (4.6%), at a cost per incident of ₦33,333 compared to ₦202,590 for vehicle patrols and ₦1,406,250 for CCTV. The UAVs were particularly effective in detecting unauthorized access (61.1% of such incidents) and traffic violations, and reduced response times from 10–15 minutes to 2–5 minutes. Stakeholder acceptance was exceptionally high, with 95.7% of non-security respondents and 100% of security personnel supporting full integration. The study concluded that efficiency and effectiveness of integrating Unmanned Aerial Vehicles (UAVs) into the existing security surveillance architecture of the university represent a financially sustainable, operationally superior force multiplier that dramatically enhanced situational awareness and fills massive spatial surveillance gaps. A phased, integrated deployment model is recommended for OAU and similar institutions.","url":"https://doi.org/10.5281/zenodo.21000988","authors":["Bolorunduro E. Moyegun"],"tags":["Unmanned Aerial Vehicles","Security Surveillance","Campus Security"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.21000988","addedAt":"2026-08-31T06:39:57.050Z","updatedAt":"2026-08-31T06:39:59.256Z"},{"id":"doi:10.57760/sciencedb.36815","name":"DRFF-R2 | Multi-Scenario UAV Radio Frequency Signal Dataset","source":"datacite","abstract":"This dataset is a large-scale dataset designed to support research on multiple unmanned aerial vehicle radio frequencies (RF). It relies on a unified standardized collection framework and aims to provide a reliable foundation for cross scenario modeling and model generalization ability evaluation. This dataset has the following four core advantages: Device and individual diversity: The dataset includes 26 drones of 8 different models, providing rich device categories and individual differences. Multi scenario and environmental complexity: The collected environment covers various complex scenarios such as outdoor flight, indoor interference, and mixed flight of multiple drones, which can truly and effectively depict the channel changes and signal coupling characteristics in actual wireless environments. The spatiotemporal dynamics of altitude: Data collection covers different flight altitudes, speeds, operating states, and cross time conditions. This multidimensional dynamic change feature helps algorithm models better interpret and process non-stationary signals.Data consistency and comparability: With a unified hardware configuration and standardized collection process, the dataset strictly ensures consistency between data from different scenarios. Please cite the following references when using this dataset: @article{zheng2026multi,title={A Multi-Scenario UAV RF Dataset with Real-World Acquisition and Signal Processing Benchmarking},author={Zheng, Haolin and Gao, Ning and Zhu, Zhenghang and Huang, Zhijun and Jin, Shi and Matthaiou, Michail},journal={arXiv preprint arXiv:2603.00106},year={2026}}","url":"https://doi.org/10.57760/sciencedb.36815","authors":["Zheng Haolin","Gao Ning"],"tags":["Information and systems science related engineering and technology","Information security technology","DRFF-R2","UAV","RF","spectrum identification"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.57760/sciencedb.36815","addedAt":"2026-08-31T06:39:57.050Z","updatedAt":"2026-08-31T06:39:58.973Z"},{"id":"doi:10.11575/prism/51764","name":"Multiresolution Unmanned Aerial Vehicle (UAV) Risk Map Path Planning","source":"datacite","abstract":"Beyond Visual Line of Sight (BVLOS) operations of Unmanned Aerial Vehicles require flight plans that weigh trajectory length against the risk of overflying populated areas, controlled airspace, and hazardous terrain. Regulators quantify this safety requirement through the Specific Operations Risk Assessment (SORA) framework and Transport Canada Advisory Circular AC 903-001, which define the Target Level of Safety as a fatality rate per flight hour, against which an applicant must defend the mission. Existing risk-aware planners report dimensionless costs, exposure indices, or casualty-probability surfaces that do not map onto this bound, so operators close the gap by hand. This thesis presents a deterministic computational pipeline that closes the gap. Heterogeneous geospatial features are aggregated into a bounded composite risk via a weighted-sum distance-decay model, evaluated volumetrically across altitude through a strike-probability and impact-severity product. A heterogeneity-driven Layered Sampling Quadtree subdivides the risk field where samples vary and stays coarse where they agree, exposing a mean risk for the planner's edge cost and a maximum risk as a hard no-fly constraint. A risk-aware A* variant, Risk-A*, uses a multiplicative edge cost that keeps distance as the unit of cost and avoids the unit-mixing of additive formulations. An Expected Fatality Rate (EFR) formulation maps a path's risk integral to a fatality rate per flight hour that compares directly against the Target Level of Safety. The framework is evaluated on four Alberta regions spanning an urban core, a metropolitan area, a rural-to-urban corridor, and a mountain-townsite valley. The Layered Sampling Quadtree is roughly five times more compact than a matched uniform grid at comparable accuracy, at lower build cost. At K_R=10, Risk-A* reduces Integrated Path Risk by an average of 48.8% at a 1.9% distance overhead, with all 219 path runs feasible. A worked example gives a 24 km Calgary path an Expected Fatality Rate of 3.9x10^-6 per flight hour, below the major-severity SORA bound.","url":"https://doi.org/10.11575/prism/51764","authors":["Hameed, Mohammad"],"tags":["Multiresolution","Path Planning","Unmanned Aerial Vehicle (UAV)","Computer Science"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.11575/prism/51764","addedAt":"2026-08-31T06:39:57.050Z","updatedAt":"2026-08-31T06:39:57.050Z"},{"id":"doi:10.48550/arxiv.2608.12046","name":"Secure Coverage Enhancement in Aerial Reconfigurable Intelligent Surface-Assisted High-Speed Train Communication Systems","source":"datacite","abstract":"High-speed trains (HSTs) have become a prominent means of transportation, requiring high data rates and reliable communication services for HST passengers. However, the wireless channels in HST communication systems are susceptible to various security threats, including eavesdropping. Addressing these security concerns is therefore of critical importance. One promising technology for enhancing security is the integration of a reconfigurable intelligent surface (RIS) on an unmanned aerial vehicle, referred to as an aerial reconfigurable intelligent surface (ARIS). This technology offers significant potential for improving wireless network performance, though it also introduces unique challenges in terms of physical layer security (PLS). This paper investigates the PLS of ARIS-aided HST communication systems. A problem of maximizing the weighted sum secrecy rate is formulated by jointly optimizing the active beamforming at the base station (BS) and the phase shift at the ARIS, subject to constrains on the BS transmit power and the unit modulus of the ARIS reflecting coefficient. To address this problem, a joint optimization algorithm is proposed using the block coordinate descent method. Specifically, the problem is decomposed into two subproblems: active beamforming design and ARIS phase shift optimization. The active beamforming is optimally designed via the successive convex approximation technique, while the ARIS phase shift is efficiently updated using the alternating direction method of multipliers technique. Simulation results demonstrate the rapid convergence of the proposed algorithm, which achieves a higher secrecy rate compared to existing methods in the literature.","url":"https://doi.org/10.48550/arxiv.2608.12046","authors":["Liu, Changzhu","He, Ruisi","Ai, Bo","Niu, Yong","Han, Zhu","Wang, Gongpu","Zhang, Haoxiang","Han, Jiahui","Zhong, Zhangdui"],"tags":["Information Theory (cs.IT)","FOS: Computer and information sciences"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.48550/arxiv.2608.12046","addedAt":"2026-08-31T06:39:57.050Z","updatedAt":"2026-08-31T06:39:57.050Z"},{"id":"doi:10.48550/arxiv.2608.18996","name":"GrabVG: Graph-Attentive Binding for Visual Grounding in UAV Imagery","source":"datacite","abstract":"Visual grounding in Unmanned Aerial Vehicle (UAV) imagery aims to localize a target object in complex bird's-eye-view scenes according to a natural language description. However, the abundance of small, densely distributed, and visually similar objects creates high visual redundancy, while repetitive local configurations give rise to strong topological ambiguity. Existing approaches mainly focus on visual--language feature alignment or dense contextual interaction, yet they struggle to distinguish subtle inter-instance differences and effectively exploit spatial topological structures, leading to inaccurate grounding in highly crowded scenarios. To address these challenges, we propose $\\textbf{GrabVG}$, a novel visual grounding framework inspired by human visual search. GrabVG explicitly decomposes grounding into two sequential stages: $\\textit{preattentive hypothesis search}$ and $\\textit{graph-attentive feature binding}$. Specifically, we first generate a compact set of reliable object hypotheses through distillation-guided proposal induction and text-aware hypothesis filtering, substantially reducing background distractions and semantic mismatches. These hypotheses are then organized into a sparse graph, where language-guided intra-instance visual cues and inter-instance topological relationships are jointly bound and propagated via graph attention, enabling efficient spatial reasoning and accurate target localization. Extensive experiments on AerialVG and AerialSense show that GrabVG achieves a favorable accuracy--speed trade-off, reaching 67.31$\\%$ and 80.34$\\%$ Acc@0.5 and outperforming the corresponding baselines by 10.55 and 8.76 percentage points, respectively.","url":"https://doi.org/10.48550/arxiv.2608.18996","authors":["Wang, Chaowei","Di, Yan","Sun, Jingjun","Liu, Baozhe","Tian, Jiaxu","Li, Yuheng","Guo, Guangqian","Gao, Shan"],"tags":["Computer Vision and Pattern Recognition (cs.CV)","Artificial Intelligence (cs.AI)","FOS: Computer and information sciences"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.48550/arxiv.2608.18996","addedAt":"2026-08-31T06:39:57.050Z","updatedAt":"2026-08-31T06:39:57.050Z"},{"id":"doi:10.48550/arxiv.2608.18140","name":"Scheduling and Routing with Degradation-Triggered Job Arrivals: An Application to Forest Firefighting with an Unmanned Aerial Vehicle Fleet","source":"datacite","abstract":"We define an intertwined scheduling and routing problem where new jobs appear due to the degradation of the existing jobs. Specifically, once a job arrives at a potential job location, a time window begins during which the demand of the job can be fulfilled. The demand degrades within the time window, and once it surpasses a particular threshold, it triggers the arrival of new jobs. Each job location inherently possesses an initial default reward, and the presence of an unprocessed job at a location gradually reduces this default value. The overall objective is to maximize the total remaining reward. The underlying motivation of this problem aligns with the proverb ``a stitch in time saves nine,\" and the problem itself carries practical implications. We focus on the problem in the context of aerial forest firefighting. Each ignited area has a designated action window; delaying intervention causes the fire to grow, diminishing the area's value and causing it to spread to adjacent areas. We develop a mixed-integer programming model that maximizes value retention in wildfire-threatened regions, and a hybrid model based on dynamic constraint generation to enhance the scalability of the model. We evaluate the performance and practicality of our models through computational experiments and a case study. Additionally, we ensure the study's reproducibility and encourage further research by providing open access to the codebase of our model.","url":"https://doi.org/10.48550/arxiv.2608.18140","authors":["Dasdemir, Erdi","Jose, Esther","Batta, Rajan"],"tags":["Robotics (cs.RO)","FOS: Computer and information sciences"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.48550/arxiv.2608.18140","addedAt":"2026-08-31T06:39:57.050Z","updatedAt":"2026-08-31T06:39:57.050Z"},{"id":"doi:10.5281/zenodo.22019128","name":"Unmanned aerial vehicle safety bubble simulation results","source":"datacite","abstract":"Title: An Adaptive Six-Layer Safety Bubble for Non-Cooperative UAV Self-Separation Abstract The integration of unmanned aerial vehicles (UAVs) into shared airspace requires on-board safety mechanisms for self-separation without cooperation between platforms or centralised air-traffic services. This paper proposes the UAV Safety Bubble (USB), a six-layer geometric model that defines an adaptive safety envelope around the UAV. Each layer corresponds to a distinct physical contribution: platform dimensions, positioning uncertainty, communication performance, wind disturbance, detection-processing latency, and avoidance manoeuvrability. The model was evaluated through 5,300 Monte Carlo simulation instances across five conflict scenarios, including static-obstacle avoidance, head-to-head encounters, and 90$^\\circ$, 30$^\\circ$, and 60$^\\circ$ approaches between two dynamic UAVs. Platform, sensing, communication, and environmental parameters were sampled from uniform distributions across operational ranges. No instance produced an intrusion into the fifth layer ($USB_{5}$), the model's operational separation boundary. The smallest clearance between the $USB_{5}$ outer edge and the obstacle's centre of mass was 35.36~m, recorded in the 90$^\\circ$ approach scenario, and the one-sided 95% upper bound on the per-instance intrusion probability was 0.060%. The adaptive envelope achieved this at per-scenario median route-length overheads of 15-46% relative to nominal straight-line routes. The USB complements downstream planners by providing an adaptive no-go region. The avoidance manoeuvres evaluated are restricted to the horizontal plane; full 3D avoidance is left for future work.","url":"https://doi.org/10.5281/zenodo.22019128","authors":["Jerinić, Dominik","Radišić, Tomislav","Krajček Nikolić, Karolina","Muštra, Mario"],"tags":["Unmanned Aerial Devices","Air traffic management","Air safety"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.22019128","addedAt":"2026-08-31T06:39:57.050Z","updatedAt":"2026-08-31T06:39:57.050Z"},{"id":"doi:10.1016/j.urbmob.2023.100046","name":"Exploring the elements of effective public cycle parking: A literature review","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.urbmob.2023.100046","authors":["Robert Egan","Conor Mark Dowling","Brian Caulfield"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-01-19T14:36:29Z","doi":"10.1016/j.urbmob.2023.100046","addedAt":"2026-08-31T06:39:57.284Z","updatedAt":"2026-08-31T06:39:57.284Z"},{"id":"doi:10.36443/10259/6975","name":"From urban congestion pricing to tradable mobility credits: A review","source":"crossref","abstract":"","url":"https://doi.org/10.36443/10259/6975","authors":["Siyu Li"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2022-10-07T22:11:00Z","doi":"10.36443/10259/6975","addedAt":"2026-08-31T06:39:57.284Z","updatedAt":"2026-08-31T06:39:57.284Z"},{"id":"doi:10.1109/icns54818.2022.9771511","name":"Urban Air Mobility Perspectives Over Mid-Term Time Horizon: Main Enabling Technologies Readiness Review","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icns54818.2022.9771511","authors":["Aniello Menichino","Vittorio Di Vito","Bartosz Dziugiel","Adam Liberacki","Henk Hesselink","Michele Giannuzzi"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2022-05-12T19:37:44Z","doi":"10.1109/icns54818.2022.9771511","addedAt":"2026-08-31T06:39:57.284Z","updatedAt":"2026-08-31T06:39:57.284Z"},{"id":"doi:10.21203/rs.3.rs-311721/v1","name":"Temporal Air Quality (NO2, O3 and PM10) Changes in Urban and Rural Stations in Catalonia During COVID-19 Lockdown: An Association with Human Mobility and Satellite Data","source":"crossref","abstract":"Abstract In this study, changes in air quality by NO 2 , O 3 and PM 10 in Barcelona metropolitan area and other parts of Catalonia during the COVID-19 lockdown with respect to pre-lockdown and to previous years (2018 and 2019) were evaluated. Selected air monitoring stations included 3 urban (Gràcia, Vall d’Hebron and Granollers), 1 control site (Observatori Fabra), 1 semi-urban (Manlleu), and 3 rural (Begur, Bellver de Cerdanya, and Juneda). NO 2 lockdown levels showed a diminution, which in relative terms was maximum in two rural stations (Bellver de Cerdanya, -63% and Begur, -61%), presumably due to lower emissions from the ceasing hotel and ski resort activities during eastern holidays. In absolute terms and from an epidemiologic perspective, decrease in NO 2 was more relevant in the urban stations around Barcelona. O 3 levels increased in the transited urban stations (Gràcia, +42%, and Granollers, +64%) due to the lower titration effect by NO x . PM 10 lockdown levels decreased, mostly in Gràcia, Vall d’Hebron and Granollers (-35, -39% and -39%, respectively) due to traffic depletion (-90% in Barcelona's transport). Correlation among mobility index in Barcelona (-100% in retail &amp; recreation) and contamination was positive for NO 2 and PM 10 and negative for O 3 ( P &lt;0.001). Satellite images evidenced two hotspots of NO 2 in Spain (Madrid and Barcelona) in April 2018 and 2019 that disappeared in 2020. Overall, the benefits of lockdown on air quality in Catalonia were evidenced with NO 2 , O 3 and PM 10 levels below WHOAQG values in most of stations opposed to the excess registered in previous years.","url":"https://doi.org/10.21203/rs.3.rs-311721/v1","authors":["Eva Gorrochategui","Isabel Hernandez","Eva Pérez-Gabucio","Sílvia Lacorte","Romà Tauler"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2021-03-30T16:03:43Z","doi":"10.21203/rs.3.rs-311721/v1","addedAt":"2026-08-31T06:39:57.284Z","updatedAt":"2026-08-31T06:39:57.284Z"},{"id":"doi:10.1016/j.sysarc.2023.102902","name":"A review of Urban Air Mobility-enabled Intelligent Transportation Systems: Mechanisms, applications and challenges","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.sysarc.2023.102902","authors":["Leilei Wang","Xiaoheng Deng","Jinsong Gui","Ping Jiang","Feng Zeng","Shaohua Wan"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-05-19T11:50:34Z","doi":"10.1016/j.sysarc.2023.102902","addedAt":"2026-08-31T06:39:57.284Z","updatedAt":"2026-08-31T06:39:57.284Z"},{"id":"doi:10.37419/lr.v12.arg.5","name":"Autonomy Now?: Is It Time to Start Integrating (Autonomous) Urban Air Mobility Vehicles into the National Airspace System?","source":"crossref","abstract":"Urban Air Mobility has the potential to radically change the fundamental nature of transportation within the United States. But challenges abound—from critical shortages of air traffic controllers and pilots and gaps in key technologies and infrastructure to the negative public perception of autonomous vehicles. FAA and industry, employing an evolutionary and safety-focused approach, can overcome these challenges through a combination of creative regulation, targeted technology development, and leveraging lessons learned through the FAA’s drone integration efforts. However, if drone integration is any guide, industry should be prepared for a long integration timeline, with autonomy still on the horizon.","url":"https://doi.org/10.37419/lr.v12.arg.5","authors":["Robert Notari"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-02-12T20:52:01Z","doi":"10.37419/lr.v12.arg.5","addedAt":"2026-08-31T06:39:57.284Z","updatedAt":"2026-08-31T06:39:57.284Z"},{"id":"doi:10.1177/1078087404273341","name":"Displacement or Succession?","source":"crossref","abstract":"This article examines the extent to which gentrification in U.S. neighborhoods is associated with displacement by comparing mobility and displacement in gentrifying neighborhoods with mobility and displacement in similar neighborhoods that did not undergo gentrification. The results suggest that displacement and higher mobility play minor if any roles as forces of change in gentrifying neighborhoods. Demographic change in gentrifying neighborhoods appears to be a consequence of lower rates of intra neighborhood mobility and the relative affluence of in-movers.","url":"https://doi.org/10.1177/1078087404273341","authors":["Lance Freeman"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2005-01-25T14:14:21Z","doi":"10.1177/1078087404273341","addedAt":"2026-08-31T06:39:57.284Z","updatedAt":"2026-08-31T06:39:57.284Z"},{"id":"doi:10.1177/0042098018758908","name":"Book review: Mobility, Sociability and Well-being of Urban Living","source":"crossref","abstract":"","url":"https://doi.org/10.1177/0042098018758908","authors":["Jonathan Corcoran"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2018-02-27T06:39:13Z","doi":"10.1177/0042098018758908","addedAt":"2026-08-31T06:39:57.284Z","updatedAt":"2026-08-31T06:39:57.284Z"},{"id":"doi:10.1002/jcop.22837/v1/review2","name":"Review for \"Residential mobility, neighborhood cohesion, and depressive symptoms among urban‐dwelling African American adolescents\"","source":"crossref","abstract":"","url":"https://doi.org/10.1002/jcop.22837/v1/review2","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2022-03-24T17:02:20Z","doi":"10.1002/jcop.22837/v1/review2","addedAt":"2026-08-31T06:39:57.284Z","updatedAt":"2026-08-31T06:39:57.284Z"},{"id":"doi:10.21203/rs.3.rs-7101531/v1","name":"Engineering Urban Mobility: A Strategic Framework for Tram Route Design","source":"crossref","abstract":"Abstract Purpose This study aims to determine the most suitable tram route among three alternative alignments in Aksaray city by employing an integrated multi-criteria decision-making (MCDM) approach based on the Analytic Hierarchy Process (AHP) and the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS). The study further examines the consistency and robustness of the selected route through sensitivity analysis. Material and Methods The research methodology integrates AHP and TOPSIS to evaluate alternatives using six decision criteria: population density, route length, estimated construction cost, accessibility to important urban functions, traffic congestion level, and number of road intersections. Criteria weights were derived from expert judgments via pairwise comparisons (AHP), and the final ranking of routes was obtained using TOPSIS. A sensitivity analysis was conducted by altering weight configurations to assess the stability of the ranking. Findings The results indicate that Route II exhibited the highest relative closeness to the ideal solution under the initial AHP-TOPSIS configuration. However, sensitivity analysis showed that Route I emerged as optimal in five out of seven weight scenarios, suggesting a competitive balance between the first two alternatives. Overall, population served, traffic congestion, and cost criteria emerged as the most influential factors in route selection. Practical Implications The integrated approach provides a replicable decision-making framework for urban rail planning under limited spatial and economic resources. The findings highlight the need to account for both technical and spatial constraints while designing cost-efficient and demand-sensitive tram systems. Originality This study contributes to the growing literature on hybrid MCDM methods in transportation planning by incorporating spatial performance indicators and validating results through scenario-based sensitivity analysis. It also presents a practical case from a mid-sized Anatolian city where such methodologies are underutilized.","url":"https://doi.org/10.21203/rs.3.rs-7101531/v1","authors":["Humeyra BOLAKAR TOSUN"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-07-24T16:03:29Z","doi":"10.21203/rs.3.rs-7101531/v1","addedAt":"2026-08-31T06:39:57.284Z","updatedAt":"2026-08-31T06:39:57.284Z"},{"id":"doi:10.21203/rs.3.rs-3630229/v1","name":"Spatial-Temporal Analysis of Urban Mobility using Taxi Dataset","source":"crossref","abstract":"Abstract Ride-sharing services linked to mobile devices are innovative, on-demand transport services that aim to reduce the ill effects of private vehicles, such as pollution, congestion, etc. Ride-sharing is one of the emerging technologies which contains large data, and users with the same origin-destination and travel time are matched and share the ride. With the release of the Uber Movement Dataset for certain large cities, the spatial-temporal analysis of urban mobility using a taxi dataset is now possible. The present study used aggregated Uber trip data from 2016 to 2019 for New Delhi. This paper explores the applications of python -based techniques such as big data analytics, machine learning, and probabilistic programming for predicting travel time by utilizing the Uber Movement Dataset of New Delhi by taking several origins and destinations. Time Series Forecasting has been carried out with the help of ARIMA, Holt-Winters, Facebook Prophet, and the global model, which shows the difference between actual and predicted travel time. Spatial analysis for different wards is conducted to understand the variation in many trips. The results of this study will be helpful in urban planning and a better understanding of human mobility in New Delhi.","url":"https://doi.org/10.21203/rs.3.rs-3630229/v1","authors":["Pratyush Kumar","Varun Singh"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-11-21T16:00:15Z","doi":"10.21203/rs.3.rs-3630229/v1","addedAt":"2026-08-31T06:39:57.284Z","updatedAt":"2026-08-31T06:39:57.284Z"},{"id":"doi:10.1177/1078087412453130","name":"Postforeclosure Mobility for Households with Children in Public Schools","source":"crossref","abstract":"Foreclosure likely results in substantial residential instability, but very few research efforts have attempted to quantify this residential instability or understand the effects of the residential instability caused by foreclosures as a distinct phenomenon. Using a unique data set of households with children enrolled in public schools that experienced a foreclosure in Minneapolis, Minnesota, between July 1, 2006 and December 31, 2007, this article assesses the postforeclosure mobility patterns of households. Research findings indicate that more than 90% of households in the sample moved and one-third exited the Minneapolis Public School system following a foreclosure. Economic deprivation was associated with reduced household mobility following a foreclosure regardless of housing tenure. Households that remained in Minneapolis following a foreclosure tended to move to neighborhoods with similar characteristics as their former neighborhoods but with elevated poverty levels and racial segregation in comparison to the city overall.","url":"https://doi.org/10.1177/1078087412453130","authors":["Ryan Allen"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2012-08-13T20:37:35Z","doi":"10.1177/1078087412453130","addedAt":"2026-08-31T06:39:57.284Z","updatedAt":"2026-08-31T06:39:57.284Z"},{"id":"doi:10.1002/jcop.22837/v1/review1","name":"Review for \"Residential mobility, neighborhood cohesion, and depressive symptoms among urban‐dwelling African American adolescents\"","source":"crossref","abstract":"","url":"https://doi.org/10.1002/jcop.22837/v1/review1","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2022-03-24T17:02:20Z","doi":"10.1002/jcop.22837/v1/review1","addedAt":"2026-08-31T06:39:57.284Z","updatedAt":"2026-08-31T06:39:57.284Z"},{"id":"doi:10.5281/zenodo.17762331","name":"OVERVIEW OF EARLIER BUILDINGS IN CEBU: ALIGNING  THE OLDIES CITY'S VISION TOWARDS 2050","source":"datacite","abstract":"ABSTRACT Urban revitalization has emerged as a critical strategy for enhancing the sustainability, livability, and cultural preservation of historic urban spaces. Colon Street in Cebu, Philippines, renowned for its historical, economic, and cultural significance, faces growing challenges related to infrastructure deterioration, environmental pollution, and public health risks. The increasing global emphasis on sustainable development necessitates a comprehensive assessment of how urban renewal efforts can integrate health-promoting and environmentally responsible practices while respecting heritage values. This study employed a qualitative research design, incorporating historical analysis, policy review, semi-structured interviews, stakeholder consultations, and field observations. Data were collected from 70 respondents, including local government officials, urban planners, business owners, community leaders, heritage advocates, and visitors. Thematic analysis was applied to examine the influence of governance structures, political dynamics, regulatory compliance, and urban planning interventions on public health and community well-being. Findings revealed that Colon Street exhibits moderate infrastructural deterioration, environmental challenges, and limited public health safeguards. Governance structures and political factors exerted a moderate influence on project prioritization and resource allocation, while compliance with the National Building Code, Heritage Law, and DENR policies ranged from moderate to high. Public participation was limited, affecting the inclusivity and effectiveness of revitalization initiatives. Health-related outcomes, such as sanitation, air quality, mobility, and accessibility, were directly impacted by infrastructural and environmental conditions. The study highlights the complicated relationship between heritage preservation, political governance, and sustainable urban development. Enhancing transparency, enforcing regulatory standards, integrating health-oriented urban planning, and increasing public engagement emerged as key strategies for improving urban revitalization outcomes. Sustainable revitalization of Colon Street requires coordinated efforts that balance historical preservation, economic activity, and public health priorities. Implementing these recommendations can promote resilient, inclusive, and health-oriented urban environments in historic districts. Keywords: Urban Revitalization, Public Health, Governance, Sustainable Development Goals, Heritage Preservation, Cebu","url":"https://doi.org/10.5281/zenodo.17762331","authors":["Rino Anthony M. Demeterio","Redjie D. Arcadio","Rosein A. Ancheta Jr"],"tags":["Urban Revitalization, Public Health, Governance, Sustainable Development Goals, Heritage Preservation, Cebu"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.17762331","addedAt":"2026-08-31T06:39:57.285Z","updatedAt":"2026-08-31T06:39:57.285Z"},{"id":"doi:10.5281/zenodo.17762332","name":"OVERVIEW OF EARLIER BUILDINGS IN CEBU: ALIGNING  THE OLDIES CITY'S VISION TOWARDS 2050","source":"datacite","abstract":"ABSTRACT Urban revitalization has emerged as a critical strategy for enhancing the sustainability, livability, and cultural preservation of historic urban spaces. Colon Street in Cebu, Philippines, renowned for its historical, economic, and cultural significance, faces growing challenges related to infrastructure deterioration, environmental pollution, and public health risks. The increasing global emphasis on sustainable development necessitates a comprehensive assessment of how urban renewal efforts can integrate health-promoting and environmentally responsible practices while respecting heritage values. This study employed a qualitative research design, incorporating historical analysis, policy review, semi-structured interviews, stakeholder consultations, and field observations. Data were collected from 70 respondents, including local government officials, urban planners, business owners, community leaders, heritage advocates, and visitors. Thematic analysis was applied to examine the influence of governance structures, political dynamics, regulatory compliance, and urban planning interventions on public health and community well-being. Findings revealed that Colon Street exhibits moderate infrastructural deterioration, environmental challenges, and limited public health safeguards. Governance structures and political factors exerted a moderate influence on project prioritization and resource allocation, while compliance with the National Building Code, Heritage Law, and DENR policies ranged from moderate to high. Public participation was limited, affecting the inclusivity and effectiveness of revitalization initiatives. Health-related outcomes, such as sanitation, air quality, mobility, and accessibility, were directly impacted by infrastructural and environmental conditions. The study highlights the complicated relationship between heritage preservation, political governance, and sustainable urban development. Enhancing transparency, enforcing regulatory standards, integrating health-oriented urban planning, and increasing public engagement emerged as key strategies for improving urban revitalization outcomes. Sustainable revitalization of Colon Street requires coordinated efforts that balance historical preservation, economic activity, and public health priorities. Implementing these recommendations can promote resilient, inclusive, and health-oriented urban environments in historic districts. Keywords: Urban Revitalization, Public Health, Governance, Sustainable Development Goals, Heritage Preservation, Cebu","url":"https://doi.org/10.5281/zenodo.17762332","authors":["Rino Anthony M. Demeterio","Redjie D. Arcadio","Rosein A. Ancheta Jr"],"tags":["Urban Revitalization, Public Health, Governance, Sustainable Development Goals, Heritage Preservation, Cebu"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.17762332","addedAt":"2026-08-31T06:39:57.285Z","updatedAt":"2026-08-31T06:39:57.285Z"},{"id":"doi:10.14273/unisa-1006","name":"Vehicular Traffic on Networks: Comparison among Solutions Modeling Vertex Flow","source":"datacite","abstract":"Nowadays, the analysis of issues associated with road traffic within urban and suburban areas has taken a leading role in trying to implement efficient plans of transport regulations by taking advantage of the available infrastructure. In fact, the occurrence frequency of slowdowns phenomena and strong congestions has greatly multiplied and caused a series of inconveniences and poor services for citizens such as the increased risk of accidents and air and noise pollution. In order to solve the problem of urban mobility, it is possible to act with a rational management of infrastructure and a road artery-planning program using simulators able to identify critical points in the design phase and evaluate the correctness of the proposed interventions. For this reason, it is important to use mathematical models to predict the evolution of the traffic starting from the knowledge of quantities such as cars’ densities at a given time instant. These models are classified into microscopic and macroscopic ones. The former analyze the behavior of each single vehicle, while the latter consider situations that arise from the interaction of many particles derived based on concepts of the fluid dynamics. The aim of the present research work is to review macroscopic fluid dynamic models dealing with traffic flow on road networks and to propose new solutions for the dynamics at intersections based on the integration of optimization criteria about the vehicular flow and rules for the distribution of traffic. In detail, the Thesis analyzes, describes and highlights the following topics and results:  physical variables that regulate road traffic and the relation that links them with each other, and some fluid dynamic macroscopic models for traffic on a single road (i.e. LWR, Payne Whitham, Aw-Rascle, Zhang, Third order and Multilane models);  vehicular traffic network based on the fluid dynamic model LWR and conservation laws, and characterized by some aspects to be solved like initial conditions on not infinite roads and dynamics at intersections. About the former aspect, the corresponding boundary value problems are presented and solved, while about the latter aspect the solution to Riemann Solver is given by considering also additional rules for traffic distribution that are well defined in new appropriate models simulating the presence of traffic lights at intersections with variable or fixed cycles of red-green;  numerical schemes used for the discretization of the conservation law and the solution of the dynamic at intersections. In detail, Godunov scheme, used for the determination of density values for road sections in different time instants starting from the initial density value of each road on the analyzed road network, is considered;  numerical results about an experimentation of some of the new models defined that are implemented within a road traffic simulator prototype by reproducing the behavior of vehicular densities on a road network with appropriate dynamics at intersections. These results are then compared in order to prove the correctness of each model, evaluate the performances and analyze some specific situations for optimization of car traffic. Considerations and results obtained in this research work by simulation of traffic flows may be useful as support for authorities responsible for urban road network in order to make an appropriate urban planning by evaluating the needs of the country. In fact, it could be possible to avoid traffic congestion at certain areas or time slots, bring down the rate of air pollution or noise and minimize risks due to overcrowding of vehicles on roads. [edited by Author]","url":"https://doi.org/10.14273/unisa-1006","authors":["Guarino, Giuseppe"],"tags":["MAT/05 ANALISI MATEMATICA","Vertex flow","Vemicular traffic","Riemann problem"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2016","doi":"10.14273/unisa-1006","addedAt":"2026-08-31T06:39:57.285Z","updatedAt":"2026-08-31T06:39:57.285Z"},{"id":"doi:10.17605/osf.io/g6ju5","name":"Systematic Review of the Multifaceted Impacts of Electric Vehicle Adoption: Technological, Environmental, Organizational, and Policy Perspectives","source":"datacite","abstract":"This project aims to conduct a systematic review to explore the diverse impacts associated with the adoption of electric vehicles (EVs), focusing on technological, environmental, organizational, and policy dimensions. With the global shift toward sustainable transportation, a comprehensive understanding of these multifaceted impacts is crucial for stakeholders across various sectors. Our methodology will involve a bibliometric and content analysis of peer-reviewed articles selected based on predefined criteria. The review will assess how advancements in EV technology, supportive policy frameworks, and evolving market dynamics contribute to sustainable mobility, aiming to integrate these interconnected elements for a holistic view. The objectives of this project are to: 1. Analyze potential technological advancements in EVs and their implications for energy efficiency and operational performance. 2. Evaluate the potential environmental benefits of EVs, particularly in terms of reducing carbon emissions and improving urban air quality. 3. Assess the influence of policy and regulatory frameworks on the adoption and integration of EVs into transportation systems. 4. Explore the economic and organizational impacts of EV adoption on a global scale, identifying strategies that organizations can employ to facilitate this transition.","url":"https://doi.org/10.17605/osf.io/g6ju5","authors":["Alghoush, Mohamad","Alhammadi, Ahmed Mohamed","Zaino, Rami","Vian Ahmed"],"tags":["Business","Engineering","Bibliometric Analysis","CO2 Emissions","Carbon Emissions","Climate Change","EV Technology","Electric Vehicles"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.17605/osf.io/g6ju5","addedAt":"2026-08-31T06:39:57.285Z","updatedAt":"2026-08-31T06:39:57.285Z"},{"id":"doi:10.26262/heal.auth.ir.366821","name":"Η υγιής πόλη ως στρατηγική αστικής ανθεκτικότητας στην κλιματική αλλαγή: η περίπτωση του Δήμου Θεσσαλονίκης","source":"datacite","abstract":"Στην παρούσα διπλωματική εργασία εξετάζεται η σχέση μεταξύ της κλιματικής αλλαγής, της αστικής ανάπτυξης και της δημόσιας υγείας, μέσα από το πρίσμα της στρατηγικής των «υγιών πόλεων», όπως αυτή έχει διαμορφωθεί από διεθνείς οργανισμούς και ειδικότερα τον Παγκόσμιο Οργανισμό Υγείας. Αντικειμενικός σκοπός στην εργασία είναι η ανάδειξη της αναγκαιότητας της μετάβασης των σύγχρονων πόλεων σε μοντέλα, που τοποθετούν την υγεία και την ευημερία στο επίκεντρο του αστικού σχεδιασμού, με έμφαση στην περίπτωση του Δήμου Θεσσαλονίκης ως πιλοτικού παραδείγματος εφαρμογής μιας σχετικής στρατηγικής. Η μεθοδολογική προσέγγιση της εργασίας βασίζεται σε δύο άξονες. Αφενός, σε εκτενή βιβλιογραφική ανασκόπηση διεθνών και εθνικών πηγών αναφορικά με την κλιματική αλλαγή και το θεωρητικό πλαίσιο των υγιών πόλεων και αφετέρου, σε εμπειρική μελέτη περίπτωσης με επίκεντρο το Δήμο Θεσσαλονίκης. Η μελέτη περιλαμβάνει αναλυτική αποτύπωση της υφιστάμενης κατάστασης του Δήμου, εντοπίζοντας τα προβλήματα και τις ευκαιρίες της περιοχής, καθώς και τη διατύπωση στρατηγικών προτάσεων πολιτικής και παρεμβάσεων. Οι πόλεις είναι ιδιαίτερα ευάλωτες στην κλιματική αλλαγή, όχι μόνο λόγω των περιβαλλοντικών κινδύνων, όπως η αύξηση της θερμοκρασίας, οι καύσωνες και η ατμοσφαιρική ρύπανση, αλλά και εξαιτίας της κοινωνικής ευαλωτότητας που προκαλεί ανισότητες πρόσβασης σε πόρους, υπηρεσίες και ευκαιρίες. Η Θεσσαλονίκη, παρά τα προβλήματα που αντιμετωπίζει παρουσιάζει σημαντικά περιθώρια μετασχηματισμού σε υγιή πόλη, αξιοποιώντας τα χαρακτηριστικά της, όπως η γεωγραφική της θέση, τα πολιτιστικά της στοιχεία και ο νεανικός πληθυσμός. Για την μετατροπή του Δήμου Θεσσαλονίκης σε μια υγιή πόλη, προτείνεται η διατύπωση ενός στρατηγικού πλαισίου, το οποίο περιλαμβάνει παρεμβάσεις στους τομείς της βιώσιμης κινητικότητας, του αστικού πρασίνου, της ενίσχυσης της κοινωνικής συνοχής, της συμμετοχής των πολιτών και της πρόληψης της υγείας. Συμπερασματικά, η προσέγγιση των υγιών πόλεων δεν αποτελεί μια αποσπασματική ή θεωρητική προσέγγιση, αλλά ένα ρεαλιστικό και εφαρμόσιμο μοντέλο αστικής διακυβέρνησης, το οποίο συνδέει τη δημόσια υγεία με τον κοινωνικό σχεδιασμό και την περιβαλλοντική πολιτική.","url":"https://doi.org/10.26262/heal.auth.ir.366821","authors":["Μποκογιάννη, Ευαγγελή Λ."],"tags":["Υγιείς πόλεις","Κλιματική αλλαγή","Δήμος Θεσσαλονίκης","Healthy cities","Climate change","Municipality of Thessaloniki"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.26262/heal.auth.ir.366821","addedAt":"2026-08-31T06:39:57.285Z","updatedAt":"2026-08-31T06:39:57.285Z"},{"id":"doi:10.15488/19907","name":"Joint Communication, Sensing, and Localization in Airborne Applications: Waveform Design and Multi-Mode Multi-Port Antennas","source":"datacite","abstract":"The anticipated trends in mobility, either autonomous driving or urban air mobility (UAM), require wireless services to achieve mandatory reliability and safety levels. The number of wireless systems already in-use, especially airborne, occupy regulated spectra. In order to mitigate the impact of a large number of systems mounted to airborne platforms, we propose to combine enabling techniques. These include the joint waveform design, multi-mode multi-port antennas (M 3 PAs), and appropriate beamforming techniques for joint communication, sensing and localization (JCSL). Our study finds that employing DFT-spread OFDM results in a more consistent radar performance compared to conventional OFDM, highlighting a novel application of this waveform design in JCSL systems. M 3 PAs are explored as a candidate system for performing JCSL using a single antenna radiator. It is shown how the orthogonality properties of M 3 PAs are beneficial for avoiding crosstalk in JCSL. We therefore review mature and actively employed techniques and discuss the applicability of M 3 PAs and novel waveform designs for JCSL. This study aims to conduct a thorough analysis of current systems in operation. Furthermore, design concepts that facilitate the implementation of the JCSL concept in UAM and airborne applications are introduced and discussed.","url":"https://doi.org/10.15488/19907","authors":["Johannsen, Nils L.","Schurwanz, Max","Grundmann, Lukas","Mietzner, Jan","Manteuffel, Dirk","Hoeher, Peter A."],"tags":["004","621.3","Air safety","antenna arrays","antenna radiation patterns","autonomous aerial vehicles","direction-of-arrival estimation","joint communication"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.15488/19907","addedAt":"2026-08-31T06:39:57.285Z","updatedAt":"2026-08-31T06:39:57.285Z"},{"id":"doi:10.17863/cam.92449","name":"Air quality management strategies in Africa: A scoping review of the content, context, co-benefits and unintended consequences.","source":"datacite","abstract":"One of the major consequences of Africa's rapid urbanisation is the worsening air pollution, especially in urban centres. However, existing societal challenges such as recovery from the COVID-19 pandemic, poverty, intensifying effects of climate change are making prioritisation of addressing air pollution harder. We undertook a scoping review of strategies developed and/or implemented in Africa to provide a repository to stakeholders as a reference that could be applied for various local contexts. The review includes strategies assessed for effectiveness in improving air quality and/or health outcomes, co-benefits of the strategies, potential collaborators, and pitfalls. An international multidisciplinary team convened to develop well-considered research themes and scope from a contextual lens relevant to the African continent. From the initial 18,684 search returns, additional 43 returns through reference chaining, contacting topic experts and policy makers, 65 studies and reports were included for final analysis. Three main strategy categories obtained from the review included technology (75%), policy (20%) and education/behavioural change (5%). Most strategies (83%) predominantly focused on household air pollution compared to outdoor air pollution (17%) yet the latter is increasing due to urbanisation. Mobility strategies were only 6% compared to household energy strategies (88%) yet motorised mobility has rapidly increased over recent decades. A cost effective way to tackle air pollution in African cities given the competing priorities could be by leveraging and adopting implemented strategies, collaborating with actors involved whilst considering local contextual factors. Lessons and best practices from early adopters/implementers can go a long way in identifying opportunities and mitigating potential barriers related to the air quality management strategies hence saving time on trying to \"reinvent the wheel\" and prevent pitfalls. We suggest collaboration of various stakeholders, such as policy makers, academia, businesses and communities in order to formulate strategies that are suitable and practical to various local contexts.","url":"https://doi.org/10.17863/cam.92449","authors":["Okello, Gabriel","Nantanda, Rebecca","Awokola, Babatunde","Thondoo, Meelan","Okure, Deo","Tatah, Lambed","Bainomugisha, Engineer","Oni, Tolu"],"tags":["Humans","Pandemics","COVID-19","Air Pollution","Cities","Africa"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2023","doi":"10.17863/cam.92449","addedAt":"2026-08-31T06:39:57.285Z","updatedAt":"2026-08-31T06:39:57.285Z"},{"id":"doi:10.5281/zenodo.17369432","name":"D3.1 Optimal vertiport location model","source":"datacite","abstract":"This document presents the work that has been completed for WP3 of the Engage2 KTN project Decision support tool for vertiport site selection. The document comprises a literature review and the mathematical definition of the optimisation models. The literature review includes an overview of the characteristics and regulations of vertiports for Urban Air Mobility (UAM), followed by an exploration of facility location problems and relevant modeling techniques. This is followed by a chapter on the available literature regarding vertiport location optimisation. Based on this literature study, the optimization problems for last-mile deliveries and passenger transportation were different enough to require separate models. The model for passenger vertiports is framed as a capacitated Hub Location Problem, with the objective function containing, operational profits, operational costs and establishment costs. The model for last-mile delivery vertports is framed as an standard facility location problem, with each vertiport having an area of influence within which demand can be captured.","url":"https://doi.org/10.5281/zenodo.17369432","authors":["Montoya, Alejandro","Baena, Miguel"],"tags":["Vertiport","optimisation","facility location problem","hub location problem"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.17369432","addedAt":"2026-08-31T06:39:57.285Z","updatedAt":"2026-08-31T06:39:57.285Z"},{"id":"doi:10.5281/zenodo.17369433","name":"D3.1 Optimal vertiport location model","source":"datacite","abstract":"This document presents the work that has been completed for WP3 of the Engage2 KTN project Decision support tool for vertiport site selection. The document comprises a literature review and the mathematical definition of the optimisation models. The literature review includes an overview of the characteristics and regulations of vertiports for Urban Air Mobility (UAM), followed by an exploration of facility location problems and relevant modeling techniques. This is followed by a chapter on the available literature regarding vertiport location optimisation. Based on this literature study, the optimization problems for last-mile deliveries and passenger transportation were different enough to require separate models. The model for passenger vertiports is framed as a capacitated Hub Location Problem, with the objective function containing, operational profits, operational costs and establishment costs. The model for last-mile delivery vertports is framed as an standard facility location problem, with each vertiport having an area of influence within which demand can be captured.","url":"https://doi.org/10.5281/zenodo.17369433","authors":["Montoya, Alejandro","Baena, Miguel"],"tags":["Vertiport","optimisation","facility location problem","hub location problem"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.17369433","addedAt":"2026-08-31T06:39:57.285Z","updatedAt":"2026-08-31T06:39:57.285Z"},{"id":"doi:10.17635/lancaster/thesis/701","name":"GIS approaches to understanding connections and movement through space","source":"datacite","abstract":"The overarching theme of this work is an exploration of ways in which GIS can be used to analyse connections or movement through space in a wide variety of contexts. The published work focuses upon the application of both network and raster-based techniques at a variety of scales. A review is provided summarising the breadth of applications that currently use GIS to model connectivity or movement through space. This is followed by a series of published work in this field. This includes both raster and network approaches to assessing journey-time exposure to air pollution; exploring the impact of artificial lighting on gap crossing thresholds of bats; examining the presence of food deserts in rainforest cities; assessing urban accessibility and its influence on social vulnerability to climate shocks; and understanding of the impact of segregation on everyday patterns of mobility. With a diverse range of application areas and variety of spatial scales ranging from 2 - 605,000km2, this published work highlights the ways in which GIS can be implemented in new ways to improve understanding of connections and/or movement through space.","url":"https://doi.org/10.17635/lancaster/thesis/701","authors":["Davies, Gemma"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2019","doi":"10.17635/lancaster/thesis/701","addedAt":"2026-08-31T06:39:57.285Z","updatedAt":"2026-08-31T06:39:57.285Z"},{"id":"doi:10.18130/5jhe-3j52","name":"Solar-Powered Fixed-Wing Aircraft Design; The Aviation Industry’s Transition to a Sustainable Future: A Multi-Level Perspective Analysis","source":"datacite","abstract":"Introduction Over the course of this year, I focused on how innovations in aircraft technology can make the aviation industry more environmentally sustainable. For my senior capstone, my team and I designed a solar-powered aircraft, hoping to further our experiential learning as students while also demonstrating the feasibility of using renewable energy to power long endurance aerial missions. Over two semesters, we conducted analytical and computational analyses to iterate through various design stages. We have performed several studies indicating that our aircraft will be operational for autonomous flight and meets high-level requirements, though we were not able to complete all simulations and tests necessary to fully verify this. In my ethics class, I conducted a research project to assess connections between society and new aircraft technologies that enhance sustainability. I combined my background in aerospace engineering with a literature review on the topic to perform a multi-level perspective analysis. I focused separately on small-scale technologies, large-scale industry regimes, and the aviation landscape to determine what our sustainability goals are and what we must do, as a society, to achieve them. Capstone Project: SPARC Aircraft Design My capstone team designed SPARC, the Solar Powered Autonomous Reconnaissance Craft, over this academic year. Our 12-member team set out to design an aircraft that could harness solar power to sustain high-endurance flight and support a wide range of missions. To differentiate our aircraft from other existing designs, we prioritized developing a flexible payload module that can be quickly and easily swapped out between missions. Example uses of the payload bay include hosting cameras for reconnaissance, surveillance, or imaging, or hosting sensors and probes for scientific research. Our team split into three subteams: aerostructures, aircraft systems, and power. The aerostructures team used CAD and FEA software to optimize the aircraft structure. They designed lightweight wing, fuselage, horizontal stabilizer, and vertical stabilizer structures which supported high stresses, and then integrated these structures together. The aircraft systems team designed the aircraft’s avionics system, selecting the necessary components for autonomous, long-range flight. This team also designed the aircraft planforms and configuration using conceptual design software and performed basic CFD simulations to assess performance and stability. The power team designed and simulated the configuration of solar cells, batteries, and motors to ensure that the aircraft could generate sufficient power and thrust to operate continuously. Our team conducted several experiments, including a water tunnel PIV study on winglets, airfoil analysis in a low-speed wind tunnel, and electrical component testing for the powertrain. We hope that the project can be continued next year, so the aircraft can be fully integrated, analyzed, modeled, and tested. Research Project: Sustainability in the Aviation Industry My research project for my STS ethics course is titled The Aviation Industry’s Transition to a Sustainable Future: A Multi-Level Perspective Analysis. In this paper, I sought to determine what the aviation industry is currently doing to become more environmentally sustainable and what different parties’ motivations are in this transition. Aviation is responsible for a significant quantity of carbon and greenhouse gas emissions, and new technologies can reduce the harmful impacts of global flight. I conducted my research through a review of online literature, including journals, reports, and academic papers. I organized my research through the multi-level perspective STS framework, allowing me to assess macro-scale landscape changes by examining micro-scale technological developments and their implementation within meso-scale industry regimes. The technologies I researched include sustainable aviation fuels (SAFs)","url":"https://doi.org/10.18130/5jhe-3j52","authors":["Adam Snyder"],"tags":["Aircraft Design","Solar Power","Sustainability","Aviation Industry","Solar Aircraft","Multi-Level Perspective","Sustainable Aviation"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.18130/5jhe-3j52","addedAt":"2026-08-31T06:39:57.286Z","updatedAt":"2026-08-31T06:39:57.286Z"},{"id":"doi:10.6084/m9.figshare.28792775.v1","name":"Propeller design for urban drones","source":"datacite","abstract":"Rapid development of urban drone technology allowed many aerodynamics, materials science and computational optimization studies. Propeller designs for open spaces are challenged in restricted and turbulent urban environments. Compared to these city drones, advanced propeller designs with optimized shapes and brand new materials demonstrate significant safety, noise reduction and aerodynamic performance improvements during operation. This research studies propeller design for urban drones featuring tapered blades, different twist angles and bio-inspired trailing edges. These enhancements increase thrust production and reduce tip vortex formation reducing aerodynamic inefficiencies and noise. Typical city flight under such conditions results in significant gains in flight efficiency and noise reduction during PIV and wind tunnel experiments. Furthermore, the computational techniques such as multi-objective genetic algorithms and neural network models speeded up the design process and allowed finding the optimal pitch distributions and blade shapes that balance efficiency and noise. Experiments arranged in organized tables compare thrust-to-power ratios and dB levels for various design approaches. The review considers how to bring such advances to market while adhering to quality and regulatory standards as urban air mobility (UAM) and the need for robust propeller systems in turbulent city environments increase.","url":"https://doi.org/10.6084/m9.figshare.28792775.v1","authors":["Shaikh, Mohd Kaamil Mohd Anis","Mewada, Darsh","Rizvi, Zoya"],"tags":["Aerospace structures","Aerodynamics (excl. hypersonic aerodynamics)"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.6084/m9.figshare.28792775.v1","addedAt":"2026-08-31T06:39:57.286Z","updatedAt":"2026-08-31T06:39:57.286Z"},{"id":"doi:10.60711/tsas25.20250226.9027645031133717","name":"Integrating Urban Air Mobility into Sustainable Urban Mobility Plans: A Framework and Occupational Profile for Smart Cities\r\n","source":"datacite","abstract":"Urban Air Mobility (UAM) is considered a promising solution to the mobility challenges in smart cities. In the post-COVID-19 era, European cities are increasingly focusing on growth and environmental sustainability. In 2013, a process was introduced to help cities create their own Sustainable Urban Mobility Plans (SUMPs), aimed at improving quality of life. These plans guide policymakers in developing transportation strategies for more sustainable futures. The EU Green Deal further reinforces these efforts, aiming for a 90% reduction in greenhouse gas emissions from transportation by 2050. However, there are notable differences in the implementation of SUMPs among European cities. The study addresses two main goals. First, it introduces the Sustainable Urban Air Mobility Indicators (SUAMI), which is a modification of the Sustainable Urban Mobility Indicators (SUMI) in SUMP, to integrate UAM into current urban mobility strategies. Through a qualitative study, including a literature review and interviews with 28 experts in sustainable development, aviation, and urban planning, the most impactful indicators for UAM were identified. The updated SUAMI framework offers municipalities an effective tool to assess the environmental footprint, operational efficiency, and societal impact of UAM, enabling faster and more efficient regulation and implementation. The framework introduces new indicators, including sustainability and cybersecurity, and was validated through a case study in Aachen. Furthermore, the research introduces an occupational profile for UAM experts, outlining key competencies required to manage UAM operations. The profile was developed using workshops, interviews, and focus groups with municipal authorities, transportation experts, and industry practitioners. It equips municipalities with the expertise needed to implement the SUAMI framework effectively. This paper explores the integration of UAM into existing urban mobility frameworks. By aligning with the SUMPs methodology, the SUAMI framework offers municipalities a tool to assess urban air mobility systems. The study also developed a UAM expert occupational profile to ensure personnel have the necessary skills for implementation. Validation in Aachen produced strong results and positive feedback. However, further testing in diverse cities is needed to ensure the framework’s stability and adaptability to various urban contexts. The research presents the SUAMI framework and UAM expert occupational profile to support UAM integration into urban mobility plans. Validation in Aachen showed promising results, but further testing in diverse cities is needed for wider applicability. These tools enhance sustainable, efficient UAM implementation, contributing to the EU’s transportation, environmental, and societal objectives while promoting urban mobility innovation.","url":"https://doi.org/10.60711/tsas25.20250226.9027645031133717","authors":["Anna PALAIOLOGK"],"tags":["Towards Sustainable Aviation Summit 2025 - 28-30 January 2025 - Session 16 | OPERATIONS"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.60711/tsas25.20250226.9027645031133717","addedAt":"2026-08-31T06:39:57.286Z","updatedAt":"2026-08-31T06:39:57.286Z"},{"id":"doi:10.48441/4427.2235","name":"Joint communication, sensing, and localization in airborne applications : waveform design and multi-mode multi-port antennas","source":"datacite","abstract":"The anticipated trends in mobility, either autonomous driving or urban air mobility (UAM), require wireless services to achieve mandatory reliability and safety levels. The number of wireless systems already in-use, especially airborne, occupy regulated spectra. In order to mitigate the impact of a large number of systems mounted to airborne platforms, we propose to combine enabling techniques. These include the joint waveform design, multi-mode multi-port antennas (M3PAs), and appropriate beamforming techniques for joint communication, sensing and localization (JCSL). Our study finds that employing DFT-spread OFDM results in a more consistent radar performance compared to conventional OFDM, highlighting a novel application of this waveform design in JCSL systems. M3PAs are explored as a candidate system for performing JCSL using a single antenna radiator. It is shown how the orthogonality properties of M3PAs are beneficial for avoiding crosstalk in JCSL. We therefore review mature and actively employed techn","url":"https://doi.org/10.48441/4427.2235","authors":["Johannsen, Nils L.","Schurwanz, Max","Grundmann, Lukas","Mietzner, Jan","Manteuffel, Dirk","Hoeher, Peter A."],"tags":["Air safety","antenna arrays","antenna radiation patterns","autonomous aerial vehicles","direction-of-arrival estimation","joint communication","MIMO communication","multimode antennas"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.48441/4427.2235","addedAt":"2026-08-31T06:39:57.286Z","updatedAt":"2026-08-31T06:39:57.286Z"},{"id":"doi:10.5281/zenodo.14549382","name":"Mobilidade Aérea Urbana (UAM): um tema a ser colocado em pauta","source":"datacite","abstract":"A Mobilidade Aérea Urbana (UAM) é uma ideia antiga que está sendo viabilizada a partir de inovações tecnológicas recentes. No que diz respeito aos veículos em si, já existem mais de 200 conceitos de aeronaves em diferentes estágios de desenvolvimento. Entretanto, por se tratar de uma inovação de grande impacto, é fundamental entender seus benefícios ou riscos – para as cidades e para as pessoas. A pesquisa realizada tem um caráter exploratório e parte da perspectiva explicitamente interdisciplinar da “Avaliação Tecnológica” (Technology Assessment), que procura compreender, mapear e avaliar riscos e oportunidades que as tecnologias e conceitos inovadores trazem para a sociedade, com vistas a entender seu potencial de desenvolvimento e disponibilizar recomendações para sua governança. O artigo apresenta o estado da arte da UAM e incluiu uma revisão bibliográfica, relatos na mídia sobre eventos de divulgação e testes com veículos, assim como entrevista com três especialistas. Conclui-se que, embora não seja um sistema que vá prover transporte em massa, a UAM parece ter um potencial significativo para a mobilidade nas cidades e pode se colocar como um dispositivo eficaz para a articulação de pontos nodais urbanos. Palavras-chave: Mobilidade Aérea Urbana; Inovação; Avaliação Tecnológica.","url":"https://doi.org/10.5281/zenodo.14549382","authors":["Almeida Cunha de Castro, Maria Luiza","Augusto de Campos Pinheiro Moreira, Fernando"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.5281/zenodo.14549382","addedAt":"2026-08-31T06:39:57.286Z","updatedAt":"2026-08-31T06:39:57.286Z"},{"id":"doi:10.5281/zenodo.14549381","name":"Mobilidade Aérea Urbana (UAM): um tema a ser colocado em pauta","source":"datacite","abstract":"A Mobilidade Aérea Urbana (UAM) é uma ideia antiga que está sendo viabilizada a partir de inovações tecnológicas recentes. No que diz respeito aos veículos em si, já existem mais de 200 conceitos de aeronaves em diferentes estágios de desenvolvimento. Entretanto, por se tratar de uma inovação de grande impacto, é fundamental entender seus benefícios ou riscos – para as cidades e para as pessoas. A pesquisa realizada tem um caráter exploratório e parte da perspectiva explicitamente interdisciplinar da “Avaliação Tecnológica” (Technology Assessment), que procura compreender, mapear e avaliar riscos e oportunidades que as tecnologias e conceitos inovadores trazem para a sociedade, com vistas a entender seu potencial de desenvolvimento e disponibilizar recomendações para sua governança. O artigo apresenta o estado da arte da UAM e incluiu uma revisão bibliográfica, relatos na mídia sobre eventos de divulgação e testes com veículos, assim como entrevista com três especialistas. Conclui-se que, embora não seja um sistema que vá prover transporte em massa, a UAM parece ter um potencial significativo para a mobilidade nas cidades e pode se colocar como um dispositivo eficaz para a articulação de pontos nodais urbanos. Palavras-chave: Mobilidade Aérea Urbana; Inovação; Avaliação Tecnológica.","url":"https://doi.org/10.5281/zenodo.14549381","authors":["Almeida Cunha de Castro, Maria Luiza","Augusto de Campos Pinheiro Moreira, Fernando"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.5281/zenodo.14549381","addedAt":"2026-08-31T06:39:57.286Z","updatedAt":"2026-08-31T06:39:57.286Z"},{"id":"doi:10.48550/arxiv.2412.07241","name":"Human-Computer Interaction and Human-AI Collaboration in Advanced Air Mobility: A Comprehensive Review","source":"datacite","abstract":"The increasing rates of global urbanization and vehicle usage are leading to a shift of mobility to the third dimension-through Advanced Air Mobility (AAM)-offering a promising solution for faster, safer, cleaner, and more efficient transportation. As air transportation continues to evolve with more automated and autonomous systems, advancements in AAM require a deep understanding of human-computer interaction and human-AI collaboration to ensure safe and effective operations in complex urban and regional environments. There has been a significant increase in publications regarding these emerging applications; thus, there is a need to review developments in this area. This paper comprehensively reviews the current state of research on human-computer interaction and human-AI collaboration in AAM. Specifically, we focus on AAM applications related to the design of human-machine interfaces for various uses, including pilot training, air traffic management, and the integration of AI-assisted decision-making systems with immersive technologies such as extended, virtual, mixed, and augmented reality devices. Additionally, we provide a comprehensive analysis of the challenges AAM encounters in integrating human-computer frameworks, including unique challenges associated with these interactions, such as trust in AI systems and safety concerns. Finally, we highlight emerging opportunities and propose future research directions to bridge the gap between human factors and technological advancements in AAM.","url":"https://doi.org/10.48550/arxiv.2412.07241","authors":["Sagirli, Fatma Yamac","Zhao, Xiaopeng","Wang, Zhenbo"],"tags":["Human-Computer Interaction (cs.HC)","Artificial Intelligence (cs.AI)","Machine Learning (cs.LG)","FOS: Computer and information sciences","FOS: Computer and information sciences"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.48550/arxiv.2412.07241","addedAt":"2026-08-31T06:39:57.286Z","updatedAt":"2026-08-31T06:39:57.286Z"},{"id":"doi:10.26262/heal.auth.ir.359564","name":"Αξιολόγηση της κινητικής συμπεριφοράς των οχημάτων σε αστικό περιβάλλον στην αέρια ρύπανση","source":"datacite","abstract":"Οι επιπτώσεις της κυκλοφορίας των αυτοκινήτων, του κυκλοφοριακού θορύβου και των αέριων ρύπων σε τοπικούς δρόμους αλλά και τοπικές κοινωνίες γενικότερα, μπορούν να επηρεάσουν σοβαρά την ποιότητα της ανθρώπινης ζωής. Με τη συνεχή αύξηση της χρήσης ιδιωτικών αυτοκινήτων, το πρόβλημα του κυκλοφοριακού όγκου στο οδικό δίκτυο της Ελλάδας έχει επιδεινωθεί δραματικά από τον 20ο αιώνα και συνεχίζει έως και τον 21ο αιώνα. Αυτή η αύξηση έχει συνοδευτεί από αυξημένα επίπεδα θορύβου και κραδασμών, ιδιαίτερα προερχόμενων από μεγάλα οχήματα, με σοβαρές περιβαλλοντικές και υγειονομικές επιπτώσεις. Ο υπερβολικός θόρυβος που προκαλείται από την κυκλοφορία έχει αρνητική επίδραση στην ποιότητα ζωής των κατοίκων. Επίσης, οι ατμοσφαιρικοί ρύποι που εκπέμπονται από τα οχήματα συνιστούν μια σοβαρή απειλή για την υγεία των κατοίκων. Η ατμοσφαιρική ρύπανση από τα οχήματα περιλαμβάνει εκπομπές όπως διοξείδιο του άνθρακα, οξείδια του αζώτου και σωματίδια, τα οποία μπορούν να προκαλέσουν αναπνευστικά προβλήματα, καρδιαγγειακές ασθένειες και άλλα σοβαρά προβλήματα υγείας. Ειδικά σε μια πόλη με μεγάλο πληθυσμό όπως η Θεσσαλονίκη, οι περιβαλλοντικές επιπτώσεις είναι ιδιαιτέρως αισθητές. Η ανάπτυξη βιώσιμων και οικολογικών τρόπων μετακίνησης, όπως η χρήση δημόσιων μέσων, η προώθηση της ποδηλασίας και η υποστήριξη των πεζών, είναι ζωτικής σημασίας για τη μείωση του κυκλοφοριακού όγκου και των αρνητικών επιπτώσεων στο περιβάλλον και την υγεία. Ξεκινώντας αναλύονται οι περιβαλλοντικές επιπτώσεις των οδικών μεταφορών σύμφωνα με τα ελληνικά και ευρωπαϊκά πλαίσια, όσο αναφορά τους περιβαλλοντικούς ρύπους, τον κυκλοφοριακό θόρυβο και την ατμοσφαιρική ρύπανση, ενώ στην συνέχεια παρατίθενται αποτελέσματα από βιβλιογραφική ανασκόπηση έρευνας με την μεθοδολογία VSP και την μοντελοποίηση AIMSUN. Συμπερασματικά, εξάγονται ορισμένα συμπεράσματα σχετικά με την προώθηση της βιώσιμης περιβαλλοντικής κινητικότητας στους αστικούς δρόμους. Στόχος είναι η αξιολόγηση της τρέχουσας κατάστασης και η πρόταση στρατηγικών για τον μετριασμό ή την εξάλειψη αυτού του ζητήματος που αποτελεί σημαντική πρόκληση για τη σύγχρονη κοινωνία και το περιβάλλον συνολικά.","url":"https://doi.org/10.26262/heal.auth.ir.359564","authors":["Χατζηγεωργίου, Μαρία Ηρακλή"],"tags":["Ατμοσφαιρική Ρύπανση","Συγκοινωνιακή Πολιτική","Βιώσιμη Κινητικότητα","Οδικός Άξονας","Atmospheric Pollution","Transport Policy","Sustainable Mobility","Roadway Axis"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.26262/heal.auth.ir.359564","addedAt":"2026-08-31T06:39:57.286Z","updatedAt":"2026-08-31T06:39:57.286Z"},{"id":"doi:10.60692/9e3e1-bhd32","name":"Towards green communication in 5G systems: Survey on beamforming concept","source":"datacite","abstract":"IET CommunicationsVolume 15, Issue 1 p. 142-154 ORIGINAL RESEARCH PAPEROpen Access Towards green communication in 5G systems: Survey on beamforming concept Khalid S. Mohamed, Corresponding Author khalidkaradh@hotmail.com orcid.org/0000-0001-5835-4299 Centre for Wireless Technology (CWT), Faculty of Engineering, Multimedia University, Persiaran Mutlimedia, Malaysia Correspondence Khalid S. Mohamed, Centre for Wireless Technology (CWT), Faculty of engineering, Multimedia University, Persiaran mutlimedia, Cyberjaya 63100, Malaysia. Email: khalidkaradh@hotmail.comSearch for more papers by this authorMohamad Y. Alias, Centre for Wireless Technology (CWT), Faculty of Engineering, Multimedia University, Persiaran Mutlimedia, MalaysiaSearch for more papers by this authorMardeni Roslee, orcid.org/0000-0001-8250-4031 Centre for Wireless Technology (CWT), Faculty of Engineering, Multimedia University, Persiaran Mutlimedia, MalaysiaSearch for more papers by this authorYusuf M. Raji, orcid.org/0000-0002-6838-2952 Fibre Optic Research Centre (FORC), Faculty of Engineering, Multimedia University, Persiaran Mutlimedia, MalaysiaSearch for more papers by this author Khalid S. Mohamed, Corresponding Author khalidkaradh@hotmail.com orcid.org/0000-0001-5835-4299 Centre for Wireless Technology (CWT), Faculty of Engineering, Multimedia University, Persiaran Mutlimedia, Malaysia Correspondence Khalid S. Mohamed, Centre for Wireless Technology (CWT), Faculty of engineering, Multimedia University, Persiaran mutlimedia, Cyberjaya 63100, Malaysia. Email: khalidkaradh@hotmail.comSearch for more papers by this authorMohamad Y. Alias, Centre for Wireless Technology (CWT), Faculty of Engineering, Multimedia University, Persiaran Mutlimedia, MalaysiaSearch for more papers by this authorMardeni Roslee, orcid.org/0000-0001-8250-4031 Centre for Wireless Technology (CWT), Faculty of Engineering, Multimedia University, Persiaran Mutlimedia, MalaysiaSearch for more papers by this authorYusuf M. Raji, orcid.org/0000-0002-6838-2952 Fibre Optic Research Centre (FORC), Faculty of Engineering, Multimedia University, Persiaran Mutlimedia, MalaysiaSearch for more papers by this author First published: 10 December 2020 https://doi.org/10.1049/cmu2.12066AboutSectionsPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onEmailFacebookTwitterLinked InRedditWechat Abstract Connectivity in recent wireless communication is accessible anywhere because of the large footprints of both cellular and WiFi networks. Yet, the broadcasting in wireless technology increases the susceptibility of signals to contemporary challenges such as interference, fading, and distortion. In addition, the energy of signals is lost because of Doppler effects and scattering caused by the obstacles in the channel. The use of smaller base stations, exploitation of higher frequencies and millimetre waves, and the expansion towards massive multiple-input multiple-output makes beamforming one of the most important key technologies in fifth generation (5G) systems. Besides the energy efficiency enhancements because of the narrower beamwidths, it reduces the broadcasting probability by adaptively steering the signals towards the targeted receivers while reducing the reception for nearby receiver, that is less interference. It also increases the energy efficiency of the signals because of the narrow beamwidth. In this work, the 5G technology challenges, two of the most known channel models, applications is briefly received. The fundamentals of beamforming technology are also described and provide the neces","url":"https://doi.org/10.60692/9e3e1-bhd32","authors":["Khalid Sheikhidris Mohamed","Mohamad Yusoff Alias","Mardeni Roslee","Y.M. Raji"],"tags":["Next Generation 5G Wireless Networks","Electrical and Electronic Engineering","FOS: Electrical engineering, electronic engineering, information engineering","Engineering","Physical Sciences","Millimeter Wave Communications for 5G and Beyond","Intelligent Reflecting Surfaces in Wireless Communications","Beamforming"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2020","doi":"10.60692/9e3e1-bhd32","addedAt":"2026-08-31T06:39:57.286Z","updatedAt":"2026-08-31T06:39:57.286Z"},{"id":"doi:10.60692/vrjg8-t4c53","name":"Towards green communication in 5G systems: Survey on beamforming concept","source":"datacite","abstract":"IET CommunicationsVolume 15, Issue 1 p. 142-154 ORIGINAL RESEARCH PAPEROpen Access Towards green communication in 5G systems: Survey on beamforming concept Khalid S. Mohamed, Corresponding Author khalidkaradh@hotmail.com orcid.org/0000-0001-5835-4299 Centre for Wireless Technology (CWT), Faculty of Engineering, Multimedia University, Persiaran Mutlimedia, Malaysia Correspondence Khalid S. Mohamed, Centre for Wireless Technology (CWT), Faculty of engineering, Multimedia University, Persiaran mutlimedia, Cyberjaya 63100, Malaysia. Email: khalidkaradh@hotmail.comSearch for more papers by this authorMohamad Y. Alias, Centre for Wireless Technology (CWT), Faculty of Engineering, Multimedia University, Persiaran Mutlimedia, MalaysiaSearch for more papers by this authorMardeni Roslee, orcid.org/0000-0001-8250-4031 Centre for Wireless Technology (CWT), Faculty of Engineering, Multimedia University, Persiaran Mutlimedia, MalaysiaSearch for more papers by this authorYusuf M. Raji, orcid.org/0000-0002-6838-2952 Fibre Optic Research Centre (FORC), Faculty of Engineering, Multimedia University, Persiaran Mutlimedia, MalaysiaSearch for more papers by this author Khalid S. Mohamed, Corresponding Author khalidkaradh@hotmail.com orcid.org/0000-0001-5835-4299 Centre for Wireless Technology (CWT), Faculty of Engineering, Multimedia University, Persiaran Mutlimedia, Malaysia Correspondence Khalid S. Mohamed, Centre for Wireless Technology (CWT), Faculty of engineering, Multimedia University, Persiaran mutlimedia, Cyberjaya 63100, Malaysia. Email: khalidkaradh@hotmail.comSearch for more papers by this authorMohamad Y. Alias, Centre for Wireless Technology (CWT), Faculty of Engineering, Multimedia University, Persiaran Mutlimedia, MalaysiaSearch for more papers by this authorMardeni Roslee, orcid.org/0000-0001-8250-4031 Centre for Wireless Technology (CWT), Faculty of Engineering, Multimedia University, Persiaran Mutlimedia, MalaysiaSearch for more papers by this authorYusuf M. Raji, orcid.org/0000-0002-6838-2952 Fibre Optic Research Centre (FORC), Faculty of Engineering, Multimedia University, Persiaran Mutlimedia, MalaysiaSearch for more papers by this author First published: 10 December 2020 https://doi.org/10.1049/cmu2.12066AboutSectionsPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onEmailFacebookTwitterLinked InRedditWechat Abstract Connectivity in recent wireless communication is accessible anywhere because of the large footprints of both cellular and WiFi networks. Yet, the broadcasting in wireless technology increases the susceptibility of signals to contemporary challenges such as interference, fading, and distortion. In addition, the energy of signals is lost because of Doppler effects and scattering caused by the obstacles in the channel. The use of smaller base stations, exploitation of higher frequencies and millimetre waves, and the expansion towards massive multiple-input multiple-output makes beamforming one of the most important key technologies in fifth generation (5G) systems. Besides the energy efficiency enhancements because of the narrower beamwidths, it reduces the broadcasting probability by adaptively steering the signals towards the targeted receivers while reducing the reception for nearby receiver, that is less interference. It also increases the energy efficiency of the signals because of the narrow beamwidth. In this work, the 5G technology challenges, two of the most known channel models, applications is briefly received. The fundamentals of beamforming technology are also described and provide the neces","url":"https://doi.org/10.60692/vrjg8-t4c53","authors":["Khalid Sheikhidris Mohamed","Mohamad Yusoff Alias","Mardeni Roslee","Y.M. Raji"],"tags":["Next Generation 5G Wireless Networks","Electrical and Electronic Engineering","FOS: Electrical engineering, electronic engineering, information engineering","Engineering","Physical Sciences","Millimeter Wave Communications for 5G and Beyond","Intelligent Reflecting Surfaces in Wireless Communications","Beamforming"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2020","doi":"10.60692/vrjg8-t4c53","addedAt":"2026-08-31T06:39:57.286Z","updatedAt":"2026-08-31T06:39:57.286Z"},{"id":"doi:10.60692/50g96-vt732","name":"Idle sense with transmission priority in fibre‐wireless networks","source":"datacite","abstract":"IET CommunicationsVolume 14, Issue 9 p. 1428-1437 Research ArticleOpen Access Idle sense with transmission priority in fibre-wireless networks Wan Hafiza Wan Hassan, Corresponding Author Wan Hafiza Wan Hassan whafiza@umt.edu.my Faculty of Ocean Engineering Technology and Informatics, Universiti Malaysia Terengganu, Terengganu, Malaysia Faculty of Engineering, Universiti Teknologi Malaysia, Johor, MalaysiaSearch for more papers by this authorSevia Mahdaliza Idrus, Sevia Mahdaliza Idrus Faculty of Engineering, Universiti Teknologi Malaysia, Johor, MalaysiaSearch for more papers by this authorHorace King, Horace King College of Engineering and Science, Victoria University, Melbourne, AustraliaSearch for more papers by this authorShabbir Ahmed, Shabbir Ahmed College of Engineering and Science, Victoria University, Melbourne, AustraliaSearch for more papers by this authorMike Faulkner, Mike Faulkner College of Engineering and Science, Victoria University, Melbourne, AustraliaSearch for more papers by this author Wan Hafiza Wan Hassan, Corresponding Author Wan Hafiza Wan Hassan whafiza@umt.edu.my Faculty of Ocean Engineering Technology and Informatics, Universiti Malaysia Terengganu, Terengganu, Malaysia Faculty of Engineering, Universiti Teknologi Malaysia, Johor, MalaysiaSearch for more papers by this authorSevia Mahdaliza Idrus, Sevia Mahdaliza Idrus Faculty of Engineering, Universiti Teknologi Malaysia, Johor, MalaysiaSearch for more papers by this authorHorace King, Horace King College of Engineering and Science, Victoria University, Melbourne, AustraliaSearch for more papers by this authorShabbir Ahmed, Shabbir Ahmed College of Engineering and Science, Victoria University, Melbourne, AustraliaSearch for more papers by this authorMike Faulkner, Mike Faulkner College of Engineering and Science, Victoria University, Melbourne, AustraliaSearch for more papers by this author First published: 01 June 2020 https://doi.org/10.1049/iet-com.2019.0313Citations: 1AboutSectionsPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onFacebookTwitterLinkedInRedditWechat Abstract The convergence of fibre and wireless technologies realised the fibre-wireless (FiWi) networks. Despite huge capacity offered by fibre, the user experiences a network bottleneck caused by the wireless side. This study investigates wireless local area network (WLAN), the wireless side of the FiWi networks with a gigabits passive optical network (GPON) as the backhaul. The work aims to improve WLAN performance by utilising information gained from GPON. The proposed technique enables all contending stations in multiple access points (APs) WLAN to achieve a desired downlink-to-uplink transmission ratio, k while maintaining maximum throughput. Optimum contention window (CW) sizes for the APs and associate wireless users (WUs) are derived by incorporating the principles of idle sense (IS) and asymmetric AP. However, fairness problem between WUs occurred when they contend the channel with different CW sizes. Hence, this study simplifies the IS scheme to increase fairness between WUs. Furthermore, AP self-adapting and WU adjusting algorithms are proposed to assist the network to achieve the desired k, while maintaining the throughput fairness amongst basis service sets. The robustness of the proposed scheme is demonstrated under various conditions: achieved target k with nearly perfect fairness and gained near-to-maximum throughput within 96% of the theoretical optimum. Nomenclature probability of an AP transmitting probability of a WU transmitting m total number of APs","url":"https://doi.org/10.60692/50g96-vt732","authors":["Wan Hafiza Wan Hassan","Sevia Mahdaliza Idrus","Horace King","Shabbir Ahmed","M. Faulkner"],"tags":["Wireless Medium Access Control Protocols","Computer Networks and Communications","Computer Science","Physical Sciences","Power Line Communications in Smart Grid","Electrical and Electronic Engineering","FOS: Electrical engineering, electronic engineering, information engineering","Engineering"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2020","doi":"10.60692/50g96-vt732","addedAt":"2026-08-31T06:39:57.286Z","updatedAt":"2026-08-31T06:39:57.286Z"},{"id":"doi:10.60692/mvs2x-efb98","name":"Idle sense with transmission priority in fibre‐wireless networks","source":"datacite","abstract":"IET CommunicationsVolume 14, Issue 9 p. 1428-1437 Research ArticleOpen Access Idle sense with transmission priority in fibre-wireless networks Wan Hafiza Wan Hassan, Corresponding Author Wan Hafiza Wan Hassan whafiza@umt.edu.my Faculty of Ocean Engineering Technology and Informatics, Universiti Malaysia Terengganu, Terengganu, Malaysia Faculty of Engineering, Universiti Teknologi Malaysia, Johor, MalaysiaSearch for more papers by this authorSevia Mahdaliza Idrus, Sevia Mahdaliza Idrus Faculty of Engineering, Universiti Teknologi Malaysia, Johor, MalaysiaSearch for more papers by this authorHorace King, Horace King College of Engineering and Science, Victoria University, Melbourne, AustraliaSearch for more papers by this authorShabbir Ahmed, Shabbir Ahmed College of Engineering and Science, Victoria University, Melbourne, AustraliaSearch for more papers by this authorMike Faulkner, Mike Faulkner College of Engineering and Science, Victoria University, Melbourne, AustraliaSearch for more papers by this author Wan Hafiza Wan Hassan, Corresponding Author Wan Hafiza Wan Hassan whafiza@umt.edu.my Faculty of Ocean Engineering Technology and Informatics, Universiti Malaysia Terengganu, Terengganu, Malaysia Faculty of Engineering, Universiti Teknologi Malaysia, Johor, MalaysiaSearch for more papers by this authorSevia Mahdaliza Idrus, Sevia Mahdaliza Idrus Faculty of Engineering, Universiti Teknologi Malaysia, Johor, MalaysiaSearch for more papers by this authorHorace King, Horace King College of Engineering and Science, Victoria University, Melbourne, AustraliaSearch for more papers by this authorShabbir Ahmed, Shabbir Ahmed College of Engineering and Science, Victoria University, Melbourne, AustraliaSearch for more papers by this authorMike Faulkner, Mike Faulkner College of Engineering and Science, Victoria University, Melbourne, AustraliaSearch for more papers by this author First published: 01 June 2020 https://doi.org/10.1049/iet-com.2019.0313Citations: 1AboutSectionsPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onFacebookTwitterLinkedInRedditWechat Abstract The convergence of fibre and wireless technologies realised the fibre-wireless (FiWi) networks. Despite huge capacity offered by fibre, the user experiences a network bottleneck caused by the wireless side. This study investigates wireless local area network (WLAN), the wireless side of the FiWi networks with a gigabits passive optical network (GPON) as the backhaul. The work aims to improve WLAN performance by utilising information gained from GPON. The proposed technique enables all contending stations in multiple access points (APs) WLAN to achieve a desired downlink-to-uplink transmission ratio, k while maintaining maximum throughput. Optimum contention window (CW) sizes for the APs and associate wireless users (WUs) are derived by incorporating the principles of idle sense (IS) and asymmetric AP. However, fairness problem between WUs occurred when they contend the channel with different CW sizes. Hence, this study simplifies the IS scheme to increase fairness between WUs. Furthermore, AP self-adapting and WU adjusting algorithms are proposed to assist the network to achieve the desired k, while maintaining the throughput fairness amongst basis service sets. The robustness of the proposed scheme is demonstrated under various conditions: achieved target k with nearly perfect fairness and gained near-to-maximum throughput within 96% of the theoretical optimum. Nomenclature probability of an AP transmitting probability of a WU transmitting m total number of APs","url":"https://doi.org/10.60692/mvs2x-efb98","authors":["Wan Hafiza Wan Hassan","Sevia Mahdaliza Idrus","Horace King","Shabbir Ahmed","M. Faulkner"],"tags":["Wireless Medium Access Control Protocols","Computer Networks and Communications","Computer Science","Physical Sciences","Power Line Communications in Smart Grid","Electrical and Electronic Engineering","FOS: Electrical engineering, electronic engineering, information engineering","Engineering"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2020","doi":"10.60692/mvs2x-efb98","addedAt":"2026-08-31T06:39:57.286Z","updatedAt":"2026-08-31T06:39:57.286Z"},{"id":"doi:10.60692/kg9qg-ngb09","name":"Urban traffic flow prediction techniques: A review","source":"datacite","abstract":"In recent decades, the development of transport infrastructure has had a great development, although traffic problems continue to spread due to increase due to the increase in the population in urban areas that require the use of these means of transport. This has led to increased problems related to congestion control, which has a direct impact on citizens: air pollution, fuel consumption, violation of traffic rules, noise pollution, accidents and loss of time. In Latin America, the disorderly growth of cities increases distances and routes, likewise, there is an accelerated increase in the number of cars and motorcycles, which increases the problem. In this sense, intelligent transport systems are an alternative to improve the traffic environment, they incorporate the internet of things and intelligent algorithms, for the collection of data from multiple sources and information processing, respectively, in order to improve the efficiency of the transport flow. However, the processing and modeling of traffic data is challenging due to the complexity of road networks, the space–time dependencies between them, and heterogeneous traffic patterns. In this review study, (i) the smart techniques used for the analysis of mobility data in the prediction of traffic flow in urban areas are grouped, likewise, (ii) the results of implementing said techniques are shown, in addition, (iii) The procedures performed are described and analyzed to understand the benefits and limitations of these smart techniques. Given the above, (iv) the data sets used in the literature and available for use are shown, in addition, (v) the quantifiable results of precision of the various techniques were compared, highlighting advantages and limitations, which allows us to (vi) identify the related challenges and, from there, (vii) propose a general taxonomy in which the knowledge acquired in this traffic flow review converges from a computational approach.","url":"https://doi.org/10.60692/kg9qg-ngb09","authors":["Boris Medina-Salgado","Eddy Sánchez-DelaCruz","Pilar Pozos-Parra","Javier E. Sierra"],"tags":["Traffic Flow Prediction and Forecasting","Building and Construction","Engineering","Physical Sciences","Modeling and Control of Traffic Flow Systems","Control and Systems Engineering","Understanding Attitudes Towards Public Transport and Private Car","Transportation"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2022","doi":"10.60692/kg9qg-ngb09","addedAt":"2026-08-31T06:39:57.286Z","updatedAt":"2026-08-31T06:39:57.286Z"},{"id":"doi:10.60692/bc1cd-r8w69","name":"Urban traffic flow prediction techniques: A review","source":"datacite","abstract":"In recent decades, the development of transport infrastructure has had a great development, although traffic problems continue to spread due to increase due to the increase in the population in urban areas that require the use of these means of transport. This has led to increased problems related to congestion control, which has a direct impact on citizens: air pollution, fuel consumption, violation of traffic rules, noise pollution, accidents and loss of time. In Latin America, the disorderly growth of cities increases distances and routes, likewise, there is an accelerated increase in the number of cars and motorcycles, which increases the problem. In this sense, intelligent transport systems are an alternative to improve the traffic environment, they incorporate the internet of things and intelligent algorithms, for the collection of data from multiple sources and information processing, respectively, in order to improve the efficiency of the transport flow. However, the processing and modeling of traffic data is challenging due to the complexity of road networks, the space–time dependencies between them, and heterogeneous traffic patterns. In this review study, (i) the smart techniques used for the analysis of mobility data in the prediction of traffic flow in urban areas are grouped, likewise, (ii) the results of implementing said techniques are shown, in addition, (iii) The procedures performed are described and analyzed to understand the benefits and limitations of these smart techniques. Given the above, (iv) the data sets used in the literature and available for use are shown, in addition, (v) the quantifiable results of precision of the various techniques were compared, highlighting advantages and limitations, which allows us to (vi) identify the related challenges and, from there, (vii) propose a general taxonomy in which the knowledge acquired in this traffic flow review converges from a computational approach.","url":"https://doi.org/10.60692/bc1cd-r8w69","authors":["Boris Medina-Salgado","Eddy Sánchez-DelaCruz","Pilar Pozos-Parra","Javier E. Sierra"],"tags":["Traffic Flow Prediction and Forecasting","Building and Construction","Engineering","Physical Sciences","Modeling and Control of Traffic Flow Systems","Control and Systems Engineering","Understanding Attitudes Towards Public Transport and Private Car","Transportation"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2022","doi":"10.60692/bc1cd-r8w69","addedAt":"2026-08-31T06:39:57.286Z","updatedAt":"2026-08-31T06:39:57.286Z"},{"id":"doi:10.17615/qstk-ex76","name":"Examining Accessibility and Proximity-Related Effects of Bogota's Bus Rapid System Using Spatial Hedonic Price Models","source":"datacite","abstract":"With several successful cases worldwide, bus rapid transit (BRT) has re-emerged as a cost-effective transportation alternative for providing urban mobility. Despite the resurgence of BRT, there is a worldwide paucity of research examining its accessibility and proximity-related effects, such as noise and air pollution. A recent World Bank (2000) study observed, \"the impacts of busways on land use and city structure have been little researched.\" The limited research available is dated, and suggests that the land use impacts of BRT systems have been negligible. The paucity exists despite the fact that a careful examination of BRT impacts is key for the transportation planning process and for transportation public policy makers. Potential misperceptions of these impacts can lead to significant facility redesign, construction delays, or compensation to affected parties, all of which may amount to millions of dollars. Furthermore, the success of innovative infrastructure financing tools, such as value-capture, hinges on understanding whether or not positive infrastructure impacts are capitalized into land values. A cursory review of current BRT systems in operation worldwide suggests that some BRTs have resulted in environmental degradation of bus corridors, arising from heavy bus flows, high vehicle emissions, and noise. In other cases, such as Curitiba, BRTs have played an integral role in the successful articulation of an integrated land use and transport strategy. However, the extremely limited number of ex-post BRT evaluations has been limited to the examination of busway impacts in a handful of North American cases. As a result, by using spatial hedonic price models, this project determines the extent to which the accessibility and proximity-related disamenities of a BRT in Bogota, Colombia are capitalized into land rents. In these models, a measure of land value is regressed against discrete characteristics of a property, such as its structure, neighborhood amenities and disamenities, and overall location. Because of particularities in the application of hedonic models, and of the data collected, the coefficient estimates are determined using maximum likelihood methods that account for the spatial autocorrelation present in the model residuals. Data collected between January and April 2002 are used to estimate several model specifications. Local accessibility effects of the busway are measured by walking access distance to the nearest station, while regional accessibility effects are measured as line-haul travel distance from the nearest busway station to three regional attractors of activities. Proximity-related effects are measured as the straight distance from the property to the busway right-of-way. Results from the preferred functional form specification suggest that for every 0.1 km from the BRT station, the advertised rental price of a property decreases by 3.71%, after controlling for structural, neighborhood, and environmental variables. Similarly, as the distance from the busway right-of-way increases by 0.1 km, the value of the property increases by 7.00%. These results translate into an elasticity of -0.31 for local accessibility and 0.44 for proximity-related effects. Based on a comprehensive literature review, this is the first empirical study in recent decades that consistently estimates evidence regarding the nature and magnitude of accessibility and proximity-related impacts of BRTs. Such evidence has a wide range of practical applications, from determining the usefulness of innovative land-based tax instruments that hinge on the capitalization of positive busway effects, to informing policy-makers about the land development consequences of transportation infrastructure alternatives. Keywords: Bus Rapid Transit (BRT), busways, accessibility, proximity-related effects, hedonic price models, spatial autocorrelation, Bogota.","url":"https://doi.org/10.17615/qstk-ex76","authors":["Targa, Felipe"],"tags":["Bus lanes","Bus rapid transit"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2003","doi":"10.17615/qstk-ex76","addedAt":"2026-08-31T06:39:57.286Z","updatedAt":"2026-08-31T06:39:57.286Z"},{"id":"doi:10.34734/fzj-2023-05377","name":"Optimizing the geometry of transportation networks in the presence of congestion","source":"datacite","abstract":"Urban transport systems are gaining in importance, as an increasing share of the global population lives in cities and mobility-based carbon emissions must be reduced to mitigate climate change and improve air quality and citizens' health. As a result, public transport systems are prone to congestion, raising the question of how to optimize them to cope with this challenge. In this paper, we analyze the optimal design of urban transport networks to minimize the average travel time in monocentric as well as in polycentric cities. We suggest an elementary model for congestion and introduce a numerical method to determine the optimal shape among a set of predefined geometries considering different models for the behavior of individual travelers. We map out the optimal shape of fundamental network geometries with a focus on the impact of congestion.","url":"https://doi.org/10.34734/fzj-2023-05377","authors":["Dahlmanns, Matthias","Kaiser, Franz","Witthaut, Dirk"],"tags":["530"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2023","doi":"10.34734/fzj-2023-05377","addedAt":"2026-08-31T06:39:57.286Z","updatedAt":"2026-08-31T06:39:57.286Z"},{"id":"doi:10.48550/arxiv.2309.16075","name":"A review of variable-pitch propellers and their control strategies in aerospace systems","source":"datacite","abstract":"The relentless pursuit of aircraft flight efficiency has thrust variable-pitch propeller technology into the forefront of aviation innovation. This technology, rooted in the ancient power unit of propellers, has found renewed significance, particularly in the realms of unmanned aerial vehicles and urban air mobility. This underscores the profound interplay between visionary aviation concepts and the enduring utility of propellers. Variable-pitch propellers are poised to be pivotal in shaping the future of human aviation, offering benefits such as extended endurance, enhanced maneuverability, improved fuel economy, and prolonged engine life. However, with additional capabilities come new technical challenges. The development of an online adaptive control of variable-pitch propellers that does not depend on an accurate dynamic model stands as a critical imperative. Therefore, a comprehensive review and forward-looking analysis of this technology is warranted. This paper introduces the development background of variable-pitch aviation propeller technology, encompassing diverse pitch angle adjustment schemes and their integration with various engine types. It places a central focus on the latest research frontiers and emerging directions in pitch control strategies. Lastly, it delves into the research domain of constant speed pitch control, articulating the three main challenges confronting this technology: inadequacies in system modeling, the intricacies of propeller-engine compatibility, and the impact of external, time-varying factors. By shedding light on these multifaceted aspects of variable-pitch propeller technology, this paper serves as a resource for aviation professionals and researchers navigating the intricate landscape of future aircraft development.","url":"https://doi.org/10.48550/arxiv.2309.16075","authors":["Jiang, Hanjie","Zhou, Ye","Ho, Hann Woei"],"tags":["Systems and Control (eess.SY)","FOS: Electrical engineering, electronic engineering, information engineering","FOS: Electrical engineering, electronic engineering, information engineering"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2023","doi":"10.48550/arxiv.2309.16075","addedAt":"2026-08-31T06:39:57.286Z","updatedAt":"2026-08-31T06:39:57.286Z"},{"id":"doi:10.48550/arxiv.2304.04728","name":"Visual anemometry: physics-informed inference of wind for renewable energy, urban sustainability, and environmental science","source":"datacite","abstract":"Accurate measurements of atmospheric flows at meter-scale resolution are essential for a broad range of sustainability applications, including optimal design of wind and solar farms, safe and efficient urban air mobility, monitoring of environmental phenomena such as wildfires and air pollution dispersal, and data assimilation into weather and climate models. Measurement of the relevant microscale wind flows is inherently challenged by the optical transparency of the wind. This review explores new ways in which physics can be leveraged to \"see\" environmental flows non-intrusively, that is, without the need to place measurement instruments directly in the flows of interest. Specifically, while the wind itself is transparent, its effect can be visually observed in the motion of objects embedded in the environment and subjected to wind -- swaying trees and flapping flags are commonly encountered examples. We describe emerging efforts to accomplish visual anemometry, the task of quantitatively inferring local wind conditions based on the physics of observed flow-structure interactions. Approaches based on first-principles physics as well as data-driven, machine learning methods will be described, and remaining obstacles to fully generalizable visual anemometry will be discussed.","url":"https://doi.org/10.48550/arxiv.2304.04728","authors":["Dabiri, John O.","Howland, Michael F.","Fu, Matthew K.","Goldshmid, Roni H."],"tags":["Fluid Dynamics (physics.flu-dyn)","Atmospheric and Oceanic Physics (physics.ao-ph)","FOS: Physical sciences","FOS: Physical sciences"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2023","doi":"10.48550/arxiv.2304.04728","addedAt":"2026-08-31T06:39:57.286Z","updatedAt":"2026-08-31T06:39:57.286Z"},{"id":"doi:10.18154/rwth-2023-00742","name":"Social life cycle assessment of mobility services","source":"datacite","abstract":"Continuing urbanisation and a growing population is putting high pressure on cities around the world. Increasing air pollution, limited space availability and congestion are only some of the consequences. At the same time, rising numbers of different mobility services are available, especially in urban areas. Mobility services enable customers to have access to transportation services on demand. Car-sharing, ride-hailing, ride-sharing, microtransit and bike-sharing are some examples of mobility services that are available today.Mobility services are often seen as an opportunity to reduce transport related impacts, therefore analysing the impacts of these services in a holistic and systematic way is essential. Although a lot of studies and indicators exist in the field of sustainable urban mobility, they often focus on environmental aspects. Studies applying social life cycle assessment (S-LCA) to mobility services are lacking. S-LCA aims to address the social impacts of goods and services along their life cycle. Especially regarding indicator selection for mobility services, clear guidance is missing. Therefore, to enhance existing assessments of urban mobility, this dissertation establishes a holistic set of indicators for social sustainability assessment of mobility services. On the basis of a systematic literature review, the indicators were derived and for every indicator, a calculation method was defined. In order to be able to focus on the most important aspects, weighting and prioritisation options were suggested for different stakeholders. Further, the set of indicators was applied to different mobility services to outline application options. The results are presented in the three peer-reviewed journal publications which this dissertation consists of.For the systematic literature review, search strings were selected to identify relevant indicators for the assessment of mobility services. In total, 579 social indicators were identified. The analysis revealed a wide variety and diversity of indicators that are trying to measure the same aspect. The allocation to the respective stakeholder groups showed that most of the indicators (36%) evaluate impacts regarding the stakeholder group local community. The majority of analysed indicators are of quantitative nature (63%). Nevertheless, a clear assessment method was often missing in the respective publications. Therefore, for the core set of indicators, an assessment method including reference points, is proposed for every indicator. Reference points are necessary to be able to compare indicators with different scales. Decisions in social sustainability assessment of mobility services often can lead to a multicriteria decision-making issue. Trade-offs can occur between multiple alternatives, which is the reason why determining weightings for different criteria and indicators can support decision-makers and help to focus efforts on the aspects that are most relevant and receive the highest weight. Thus, the further step was to determine weightings for the set of indicators using the analytical hierarchy process (AHP) method. A participatory analysis was chosen to identify those weightings. In total, 48 experts in the field of sustainable urban mobility took part in the study. Those 48 experts were chosen from three different groups: academic institutions, city authorities, and mobility service providers in order to analyse differences and similarities between these groups.While some indicators resulted in clear prioritisation, other indicators revealed large differences between the expert groups. For example, all three groups of experts consistently ranked indicators regarding air quality highest within the stakeholder group Local Community.For the stakeholder group User, all three groups of experts ranked indicators regarding safety at the highest. The stakeholder group Worker showed a clear tendency towards high weighting of safety of the workers and fair salary. For the s","url":"https://doi.org/10.18154/rwth-2023-00742","authors":["Gompf, Katharina"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2022","doi":"10.18154/rwth-2023-00742","addedAt":"2026-08-31T06:39:57.286Z","updatedAt":"2026-08-31T06:39:57.286Z"},{"id":"doi:10.5281/zenodo.7578706","name":"ГИБРИДНАЯ НАУКА ДЕЙСТВИТЕЛЬНО ИМЕЕТ ЗНАЧЕНИЕ: ИЗУЧЕНИЕ МЕДИЦИНЫ И ГЕОГРАФИИ","source":"datacite","abstract":"Это исследование направлено на то, чтобы подчеркнуть, что география является пенным ресурсом для развития нашего рассмотрения важных отношений между временем, здоровьем, местом и их характеристиками. Таким образом, исследования проблем со здоровьем и вспышек заболеваний имеют географический контекст. В этом исследовании также подчеркивается важность географического анализа для выявления экологических рисков и других воздействий на здоровье. География, в свою очередь, считается одной из ключевых областей в выявлении и изучении типов проблем со здоровьем, связанных с конкретными людьми или группами людей. С социальноэкономической точки зрения географический подход необходим для поиска решений различных болезней и проблем, имеющих глобальные последствия. Проводится небольшой кейс, связанный с основной темой.","url":"https://doi.org/10.5281/zenodo.7578706","authors":["Аи Ёнг-Джин","Жураев Зухриддин Камолиддин Угли"],"tags":["здоровье, география, место, расположение, пространственность."],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2022","doi":"10.5281/zenodo.7578706","addedAt":"2026-08-31T06:39:57.286Z","updatedAt":"2026-08-31T06:39:57.286Z"},{"id":"doi:10.5281/zenodo.7578707","name":"ГИБРИДНАЯ НАУКА ДЕЙСТВИТЕЛЬНО ИМЕЕТ ЗНАЧЕНИЕ: ИЗУЧЕНИЕ МЕДИЦИНЫ И ГЕОГРАФИИ","source":"datacite","abstract":"Это исследование направлено на то, чтобы подчеркнуть, что география является пенным ресурсом для развития нашего рассмотрения важных отношений между временем, здоровьем, местом и их характеристиками. Таким образом, исследования проблем со здоровьем и вспышек заболеваний имеют географический контекст. В этом исследовании также подчеркивается важность географического анализа для выявления экологических рисков и других воздействий на здоровье. География, в свою очередь, считается одной из ключевых областей в выявлении и изучении типов проблем со здоровьем, связанных с конкретными людьми или группами людей. С социальноэкономической точки зрения географический подход необходим для поиска решений различных болезней и проблем, имеющих глобальные последствия. Проводится небольшой кейс, связанный с основной темой.","url":"https://doi.org/10.5281/zenodo.7578707","authors":["Аи Ёнг-Джин","Жураев Зухриддин Камолиддин Угли"],"tags":["здоровье, география, место, расположение, пространственность."],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2022","doi":"10.5281/zenodo.7578707","addedAt":"2026-08-31T06:39:57.286Z","updatedAt":"2026-08-31T06:39:57.286Z"},{"id":"doi:10.5281/zenodo.7542301","name":"PAsCAL D4.2 Guidelines and recommendations from simulations","source":"datacite","abstract":"PAsCAL is a user-centric research project aimed at accelerating the user- friendly evolution of connected, cooperative, and automated vehicles and transport systems, by addressing important issues relating to the role of humans in this evolution, in particular appropriate interactions of the autonomous vehicle with different road users including non-drivers. The difficulty to reproduce in reality safety-critical situations on the road, which involve highly automated vehicles, leads to the development of driving simulators to be used as an interactive virtual reality tool for the human factors studies in the project. This deliverable reports the findings of five simulation experiments ranging from professional driving simulation to home study kits, from drivers to pedestrians, and from road to air. While these experiments have different settings, targeted users and levels of automation as described, they carry out several common tasks including: Correlate and analyse driver behaviour/reaction under different scenarios; Assess the acceptance of new interfaces integrated in the simulators, including information feedback and entertainment systems; Put forward recommendations describing ways to improve the CAVs design, so they will be useful and acceptable to future real users, and the future drivers’ trainings; Produce guidelines for WP6 pilot specifications (e.g., to design new use cases involving autonomous public transport and to define some variables which deserve to be tested in real conditions). The main findings from these five experiments are summarised as follows. Findings of “DRIVING SIMULATOR”: It was observed that those participants who had some experience and knowledge of autonomous vehicles were able to get a more concrete idea of how an autonomous vehicle works, what could drive to an increased acceptability, more positive attitude and feelings towards autonomous vehicles. The results from the study of the effectiveness and acceptance of the different signals present in the CAV showed that audio signals were preferred and considered the most effective by the participants. The voice signal was the most relevant signal for handover and taking over requests according to all participants in the experiment. While the experienced drivers were more responsive to the light signal, they agreed with the novices that it was more relevant as a confirmation of autonomous driving engagement, once it has been properly activated. The results from the analysis of the effect of the driving experience on the acceptability of the CAV showed that experienced drivers report higher trust than novice ones, with higher acceptability, more positive attitude, and lower perception of the risk associated with CAVs, which emphases the importance of knowledge transfer, training/education, and awareness of CAVs. This experiment also showed that although an information-rich HMI is better perceived in terms of usability, it does not lead to more trust for the driver. At times, the opposite is true. Some specific feedback about the car's level of perception can be perceived as a source of stress for the driver, for both experienced and novice drivers. Findings of “VIRTUAL REALITY PLATFORM”: Like the previous driving simulator, the Virtual Reality (VR) experiment also observed that the participants who had some experience and knowledge of CAVs declared a high level of trust during the VR experience. The VR simulation delivered to them a more concrete idea of how works a L5 vehicle and the services it could provide. Experimenting L5 CAV shuttles was a good surprise for most of them. The overall attitude and feelings of most of the participants, who were already positive before the experiment, increased when re- measuring after. The results also showed that vulnerable disabled participants preferred shuttles to conventional buses. Participants were in favour of premium L5 shuttles for the multimedia and infotainment services, combined with their superio","url":"https://doi.org/10.5281/zenodo.7542301","authors":["Haibo Chen"],"tags":["Pascal H2020 project","CAV user-centered recommendations","CAV adoption"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2021","doi":"10.5281/zenodo.7542301","addedAt":"2026-08-31T06:39:57.286Z","updatedAt":"2026-08-31T06:39:57.286Z"},{"id":"doi:10.5281/zenodo.7542300","name":"PAsCAL D4.2 Guidelines and recommendations from simulations","source":"datacite","abstract":"PAsCAL is a user-centric research project aimed at accelerating the user- friendly evolution of connected, cooperative, and automated vehicles and transport systems, by addressing important issues relating to the role of humans in this evolution, in particular appropriate interactions of the autonomous vehicle with different road users including non-drivers. The difficulty to reproduce in reality safety-critical situations on the road, which involve highly automated vehicles, leads to the development of driving simulators to be used as an interactive virtual reality tool for the human factors studies in the project. This deliverable reports the findings of five simulation experiments ranging from professional driving simulation to home study kits, from drivers to pedestrians, and from road to air. While these experiments have different settings, targeted users and levels of automation as described, they carry out several common tasks including: Correlate and analyse driver behaviour/reaction under different scenarios; Assess the acceptance of new interfaces integrated in the simulators, including information feedback and entertainment systems; Put forward recommendations describing ways to improve the CAVs design, so they will be useful and acceptable to future real users, and the future drivers’ trainings; Produce guidelines for WP6 pilot specifications (e.g., to design new use cases involving autonomous public transport and to define some variables which deserve to be tested in real conditions). The main findings from these five experiments are summarised as follows. Findings of “DRIVING SIMULATOR”: It was observed that those participants who had some experience and knowledge of autonomous vehicles were able to get a more concrete idea of how an autonomous vehicle works, what could drive to an increased acceptability, more positive attitude and feelings towards autonomous vehicles. The results from the study of the effectiveness and acceptance of the different signals present in the CAV showed that audio signals were preferred and considered the most effective by the participants. The voice signal was the most relevant signal for handover and taking over requests according to all participants in the experiment. While the experienced drivers were more responsive to the light signal, they agreed with the novices that it was more relevant as a confirmation of autonomous driving engagement, once it has been properly activated. The results from the analysis of the effect of the driving experience on the acceptability of the CAV showed that experienced drivers report higher trust than novice ones, with higher acceptability, more positive attitude, and lower perception of the risk associated with CAVs, which emphases the importance of knowledge transfer, training/education, and awareness of CAVs. This experiment also showed that although an information-rich HMI is better perceived in terms of usability, it does not lead to more trust for the driver. At times, the opposite is true. Some specific feedback about the car's level of perception can be perceived as a source of stress for the driver, for both experienced and novice drivers. Findings of “VIRTUAL REALITY PLATFORM”: Like the previous driving simulator, the Virtual Reality (VR) experiment also observed that the participants who had some experience and knowledge of CAVs declared a high level of trust during the VR experience. The VR simulation delivered to them a more concrete idea of how works a L5 vehicle and the services it could provide. Experimenting L5 CAV shuttles was a good surprise for most of them. The overall attitude and feelings of most of the participants, who were already positive before the experiment, increased when re- measuring after. The results also showed that vulnerable disabled participants preferred shuttles to conventional buses. Participants were in favour of premium L5 shuttles for the multimedia and infotainment services, combined with their superio","url":"https://doi.org/10.5281/zenodo.7542300","authors":["Haibo Chen"],"tags":["Pascal H2020 project","CAV user-centered recommendations","CAV adoption"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2021","doi":"10.5281/zenodo.7542300","addedAt":"2026-08-31T06:39:57.286Z","updatedAt":"2026-08-31T06:39:57.286Z"},{"id":"doi:10.5281/zenodo.7330162","name":"Peoples Income and Consumption Pattern during &amp; before COVID-19 Pandemic: A Study in the Northern Areas of Bangladesh","source":"datacite","abstract":"The SARS COV2 pandemic hits the life and livelihoods of millions and consequently slows down the world economy. The pandemic hits hard the specific social groups due to travel restrictions/bans and other regulations that affect their income and consumption patterns. The goal of this paper is to find out whether the pandemic has any effect on consumption and income patterns among consumers in rural settings. To implement this study, structured questionnaires were sent to respondents and collect data from 180 samples living in rural areas of four different administrative districts in Bangladesh such as Rajshahi, Bogura, Naogaon, and Natore. Using paired sample T-test (parametric) and Wilcoxon signed ranked test (nonparametric) test found that pandemics had a significant effect on the pattern of consumption and income in the northern area of Bangladesh. While the Keynesian method of income determination shows that the MPC before the COVID-19 pandemic was 0.31 and during it was 0.37. This shows that consumers would like to consume at a higher level compared to them before the COVID-19 pandemic. Overall, the study revealed that though the pandemic significantly affect consumers’ income to reduce, consumption levels inclines fuelled by the fear of panic buying during the pandemic. Government should have preparedness to provide essential goods during any natural disasters or pandemic-like events.","url":"https://doi.org/10.5281/zenodo.7330162","authors":["Sakib, Mohammad Nazmus","Hurira, Abu","Islam, Ariful"],"tags":["Pandemics","COVID-19","Consumption habits","MPC","Northern Bangladesh"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2022","doi":"10.5281/zenodo.7330162","addedAt":"2026-08-31T06:39:57.286Z","updatedAt":"2026-08-31T06:39:57.286Z"},{"id":"doi:10.5281/zenodo.7330163","name":"Peoples Income and Consumption Pattern during &amp; before COVID-19 Pandemic: A Study in the Northern Areas of Bangladesh","source":"datacite","abstract":"The SARS COV2 pandemic hits the life and livelihoods of millions and consequently slows down the world economy. The pandemic hits hard the specific social groups due to travel restrictions/bans and other regulations that affect their income and consumption patterns. The goal of this paper is to find out whether the pandemic has any effect on consumption and income patterns among consumers in rural settings. To implement this study, structured questionnaires were sent to respondents and collect data from 180 samples living in rural areas of four different administrative districts in Bangladesh such as Rajshahi, Bogura, Naogaon, and Natore. Using paired sample T-test (parametric) and Wilcoxon signed ranked test (nonparametric) test found that pandemics had a significant effect on the pattern of consumption and income in the northern area of Bangladesh. While the Keynesian method of income determination shows that the MPC before the COVID-19 pandemic was 0.31 and during it was 0.37. This shows that consumers would like to consume at a higher level compared to them before the COVID-19 pandemic. Overall, the study revealed that though the pandemic significantly affect consumers’ income to reduce, consumption levels inclines fuelled by the fear of panic buying during the pandemic. Government should have preparedness to provide essential goods during any natural disasters or pandemic-like events.","url":"https://doi.org/10.5281/zenodo.7330163","authors":["Sakib, Mohammad Nazmus","Hurira, Abu","Islam, Ariful"],"tags":["Pandemics","COVID-19","Consumption habits","MPC","Northern Bangladesh"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2022","doi":"10.5281/zenodo.7330163","addedAt":"2026-08-31T06:39:57.286Z","updatedAt":"2026-08-31T06:39:57.286Z"},{"id":"doi:10.13009/eucass2022-7362","name":"An Assessment of Current and On-The-Horizon eVTOL Technologies for a Flying Car","source":"datacite","abstract":"The new flying car AirCar has won the certificate of airworthiness which has reignited the debate about the future and realisation of a commercial flying car. The AirCar meets the definition of a flying car, it being air and road worthy, but lacks the key feature vertical take-off and landing (VTOL) to avoid the usual traffic on the road and be a more practical personal vehicle. It was established a decade ago [1] that a realistic future flying car must use non-jet propulsion systems, particularly ducted fans, to acquire a useful performance. Also, a true flying car should be VTOL capable, this imposes certain limitations such as the size, the current range of electric propulsion systems power-to-weight density allows smaller vehicles, such as drones, to acquire a desired performance. For a relatively larger size vehicle a thermal engine is still more appealing [2]. However, the future must be made carbon free and we need to find solutions to cater this imperative global goal, hence, the focus should be electric or other renewable energy sources. The pilot mode and safety are other challenges associated with realising a flying car [3]. Herein, current and on-the horizon VTOL technologies are explored, analysed and technology trends are highlighted to realise a useable flying car. The rise of high power density lithium batteries and efficient motor-rotor solutions are encouraging VTOL capable aerial vehicles; the large scale drones are on an upward trajectory [4]. The VTOL technologies are analysed with regard to power to weight ratio, wing loading, glide ratio and disk loading. The model developed in [1] is modified/improved to evaluate the performance of numerous VTOL technologies. The quest has shown a clear trend towards distributed propulsion system, examples include the Airbus Popup, Airbus Vahana and Lillium Jet, as lower disk loading allows higher propulsive efficiency. It is concluded that a flying car does not exist yet which could be everyones personal vehicle, however, if we define further categories for a personal flying vehicle, there are many promising technologies in the pipeline. For example, an electric VTOL vehicle such as the Airbus Popup may be feasible for city wide commute and for inter-city travel a vehicle with a higher glide ratio, such as the Lillum Jet, may be a better option. From the technologies considered the Lillium jet promises the best overall range, endurance and payload performance. The presented review, also, explores hydrogen fuel for a relatively small aircraft, so far hydrogen fuel is primarily being investigate for jetliners, and attempts a foray into on board renewable energy mechanisms to idealise a sustainable futuristic personal flying vehicle. References [1] B. Saeed and G. Gratton, An evaluation of the historical issues associated with achieving non-helicopter V/STOL capability and the search for the flying car, The Aeronautical Journal 114 (1152), 91-102 (2010). [2] T. Turcksin, P. Van Den Bossche and P. Hendrick, Battery Weight Optimisation for Hovering Aircraft, 8th European Conference for Aeronautics and aerospace Science (EUCASS), 2019. [3] G. Pan and M. Alouini, Flying Car Transportation System: Advances, Techniques, and Challenges, IEEE Access, Volume 9 (2021). [4] A. Straubinger, R. Rothfeld, M. Shamiyeh, KD. Buchter, J. Kaiser and K. O. Plotner, An overview of current research and developments in urban air mobility Setting the scene for UAM introduction, Journal of Air Transport Management, Volume 87 (2020).","url":"https://doi.org/10.13009/eucass2022-7362","authors":[" B. SAEED "],"tags":["AERONAUTICS","FUTURE APPROACH"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2022","doi":"10.13009/eucass2022-7362","addedAt":"2026-08-31T06:39:57.286Z","updatedAt":"2026-08-31T06:39:57.286Z"},{"id":"doi:10.48550/arxiv.2207.11384","name":"Intelligent Amphibious Ground-Aerial Vehicles: State of the Art Technology for Future Transportation","source":"datacite","abstract":"Amphibious ground-aerial vehicles fuse flying and driving modes to enable more flexible air-land mobility and have received growing attention recently. By analyzing the existing amphibious vehicles, we highlight the autonomous fly-driving functionality for the effective uses of amphibious vehicles in complex three-dimensional urban transportation systems. We review and summarize the key enabling technologies for intelligent flying-driving in existing amphibious vehicle designs, identify major technological barriers and propose potential solutions for future research and innovation. This paper aims to serve as a guide for research and development of intelligent amphibious vehicles for urban transportation toward the future.","url":"https://doi.org/10.48550/arxiv.2207.11384","authors":["Zhang, Xinyu","Huang, Jiangeng","Huang, Yuanhao","Huang, Kangyao","Yang, Lei","Han, Yan","Wang, Li","Liu, Huaping","Luo, Jianxi","Li, Jun"],"tags":["Robotics (cs.RO)","FOS: Computer and information sciences","FOS: Computer and information sciences"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2022","doi":"10.48550/arxiv.2207.11384","addedAt":"2026-08-31T06:39:57.286Z","updatedAt":"2026-08-31T06:39:57.286Z"},{"id":"doi:10.48550/arxiv.physics/0701255","name":"Proximity Networks and Epidemics","source":"datacite","abstract":"Disease spread in most biological populations requires the proximity of agents. In populations where the individuals have spatial mobility, the contact graph is generated by the \"collision dynamics\" of the agents, and thus the evolution of epidemics couples directly to the spatial dynamics of the population. We first briefly review the properties and the methodology of an agent-based simulation (EPISIMS) to model disease spread in realistic urban dynamic contact networks. Using the data generated by this simulation, we introduce the notion of dynamic proximity networks which takes into account the relevant time scales for disease spread: contact duration, infectivity period and rate of contact creation. This approach promises to be a good candidate for a unified treatment of epidemic types that are driven by agent collision dynamics. In particular, using a simple model, we show that it can can account for the observed qualitative differences between the degree distributions of contact graphs of diseases with short infectivity period (such as air-transmitted diseases) or long infectivity periods (such as HIV).","url":"https://doi.org/10.48550/arxiv.physics/0701255","authors":["Toroczkai, Z.","Guclu, H."],"tags":["Physics and Society (physics.soc-ph)","Data Analysis, Statistics and Probability (physics.data-an)","FOS: Physical sciences","FOS: Physical sciences"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2007","doi":"10.48550/arxiv.physics/0701255","addedAt":"2026-08-31T06:39:57.286Z","updatedAt":"2026-08-31T06:39:57.286Z"},{"id":"doi:10.48550/arxiv.1905.01953","name":"The statistical physics of Cities","source":"datacite","abstract":"Challenges due to the rapid urbanization of the world -- especially in emerging countries -- range from an increasing dependence on energy, to air pollution, socio-spatial inequalities, environmental and sustainability issues. Modelling the structure and evolution of cities is therefore critical because policy makers need robust theories and new paradigms for mitigating these problems. Fortunately, the increased data available about urban systems opens the possibility of constructing a quantitative 'science of cities', with the aim of identifying and modelling essential phenomena. Statistical physics plays a major role in this effort by bringing tools and concepts able to bridge theory and empirical results. This article illustrates this point by focusing on fundamental objects in cities: the distribution of the urban population; segregation phenomena and spin-like models; the polycentric transition of the activity organization; energy considerations about mobility and models inspired by gravity and radiation concepts; CO2 emitted by transport; and finally, scaling that describes how various socio-economical and infrastructures evolve when cities grow.","url":"https://doi.org/10.48550/arxiv.1905.01953","authors":["Barthelemy, Marc"],"tags":["Physics and Society (physics.soc-ph)","Disordered Systems and Neural Networks (cond-mat.dis-nn)","FOS: Physical sciences","FOS: Physical sciences"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2019","doi":"10.48550/arxiv.1905.01953","addedAt":"2026-08-31T06:39:57.286Z","updatedAt":"2026-08-31T06:39:57.286Z"},{"id":"doi:10.48550/arxiv.2004.12555","name":"Requirements and Technologies Towards UAM: Communication, Navigation, and Surveillance","source":"datacite","abstract":"Urban air mobility (UAM) is a concept for creating an airborne transportation system that operates in urban settings with an on-board pilot and/or remote pilot in command (RPIC), or with a fully autonomous architecture. Although the passenger traffic will be mostly in and near urban environments, UAM is also being considered for air cargo, perhaps between cities. Such capability is pushing the current communication, navigation and surveillance (CNS) / air traffic management (ATM) systems that were not designed to support these types of aviation scenarios. The UAM aircraft will be operating in a congested environment, where CNS and ATM systems need to provide integrity, robustness, security, and very high availability for safety of UAM operations while evolving. As UAM is under research by academia and government agencies, the industry is driving technology towards aircraft prototypes. Critical UAM requirements are derived from command and control (C2) (particularly for RPIC scenario), data connectivity for passengers and flight systems, unmanned aircraft systems (UAS) to UAS communication to avoid collision, and data exchange for positioning and surveillance. In this paper, we study connectivity challenges and present requirements towards a robust UAM architecture through its concept of operations. In addition, we review the existing/potential CNS technologies towards UAM, i.e., 3rd generation partnership project (3GPP) fifth generation (5G) new radio (NR), navigation detect &amp; avoid (DAA), and satellite systems and present conclusions on a future road-map for UAM CNS architecture.","url":"https://doi.org/10.48550/arxiv.2004.12555","authors":["Erturk, M. Cenk","Hosseini, Nozhan","Jamal, Hosseinali","Sahin, Alphan","Matolak, David","Haque, Jamal"],"tags":["Signal Processing (eess.SP)","FOS: Electrical engineering, electronic engineering, information engineering","FOS: Electrical engineering, electronic engineering, information engineering"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2020","doi":"10.48550/arxiv.2004.12555","addedAt":"2026-08-31T06:39:57.286Z","updatedAt":"2026-08-31T06:39:57.286Z"},{"id":"doi:10.48550/arxiv.2103.01768","name":"Air taxi service for urban mobility: A critical review of recent developments, future challenges, and opportunities","source":"datacite","abstract":"Expected to operate in the imminent future, air taxi service (ATS) is an aerial on-demand transport for a single passenger or a small group of riders, which seeks to transform the method of everyday commute. This uncharted territory in the emerging transportation world is anticipated to enable consumers bypass traffic congestion in urban road networks. By adopting an electric vertical takeoff and landing concept (eVTOL), air taxis could be operational from skyports retrofitted on building rooftops, thus gaining advantage from an implementation standpoint. Motivated by the potential impact of ATS, this study provides a review of air taxi systems and associated operations. We first discuss the current developments in the ATS (demand prediction, air taxi network design, and vehicle configuration). Next, we anticipate potential future challenges of ATS from an operations management perspective, and review the existing literature that could be leveraged to tackle these problems (ride-matching, pricing strategies, vehicle maintenance scheduling, and pilot training and recruitment). Finally, we detail future research opportunities in the air taxi domain.","url":"https://doi.org/10.48550/arxiv.2103.01768","authors":["Rajendran, Suchithra","Srinivas, Sharan"],"tags":["Computers and Society (cs.CY)","Optimization and Control (math.OC)","FOS: Computer and information sciences","FOS: Computer and information sciences","FOS: Mathematics","FOS: Mathematics"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2021","doi":"10.48550/arxiv.2103.01768","addedAt":"2026-08-31T06:39:57.286Z","updatedAt":"2026-08-31T06:39:57.286Z"},{"id":"doi:10.48550/arxiv.2104.04059","name":"Machine Learning on the COVID-19 Pandemic, Human Mobility and Air Quality: A Review","source":"datacite","abstract":"The ongoing COVID-19 global pandemic is affecting every facet of human lives (e.g., public health, education, economy, transportation, and the environment). This novel pandemic and citywide implemented lockdown measures are affecting virus transmission, people's travel patterns, and air quality. Many studies have been conducted to predict the COVID-19 diffusion, assess the impacts of the pandemic on human mobility and air quality, and assess the impacts of lockdown measures on viral spread with a range of Machine Learning (ML) techniques. This review study aims to analyze results from past research to understand the interactions among the COVID-19 pandemic, lockdown measures, human mobility, and air quality. The critical review of prior studies indicates that urban form, people's socioeconomic and physical conditions, social cohesion, and social distancing measures significantly affect human mobility and COVID-19 transmission. during the COVID-19 pandemic, many people are inclined to use private transportation for necessary travel purposes to mitigate coronavirus-related health problems. This review study also noticed that COVID-19 related lockdown measures significantly improve air quality by reducing the concentration of air pollutants, which in turn improves the COVID-19 situation by reducing respiratory-related sickness and deaths of people. It is argued that ML is a powerful, effective, and robust analytic paradigm to handle complex and wicked problems such as a global pandemic. This study also discusses policy implications, which will be helpful for policymakers to take prompt actions to moderate the severity of the pandemic and improve urban environments by adopting data-driven analytic methods.","url":"https://doi.org/10.48550/arxiv.2104.04059","authors":["Rahman, Md. Mokhlesur","Paul, Kamal Chandra","Hossain, Md. Amjad","NawazAli, G. G. Md.","Rahman, Md. Shahinoor","Thill, Jean-Claude"],"tags":["Computers and Society (cs.CY)","Machine Learning (cs.LG)","FOS: Computer and information sciences","FOS: Computer and information sciences"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2021","doi":"10.48550/arxiv.2104.04059","addedAt":"2026-08-31T06:39:57.286Z","updatedAt":"2026-08-31T06:39:57.286Z"},{"id":"doi:10.18154/rwth-2021-11744","name":"On the transformation of public mobility services toward more sustainability","source":"datacite","abstract":"In the fight against climate change, poor air quality in inner cities, and the finite nature of fossil resources, the world is undergoing a cross-sector transformation toward more sustainability. As the transportation sector relies to a large extend on the combustion of fossil fuels, a transformation of this sector is crucial. In particular, public mobility services need to transform in order to reduce the inherent global and local emissions, but also to counter the dependence on private car ownership. Against this background, this cumulative dissertation consists of four publications that all contribute to the transformation toward (more) sustainable public mobility services. All publications are either already published or are under review in peer-reviewed academic journals in the field of transportation planning. The dissertation is divided into two major parts with each two publications. The first part addresses a transformation path of public mobility services in urban areas, namely the integration of battery electric buses into urban bus networks, as they contribute to the reduction of harmful pollution concentrations in inner cities. With energy by renewables, battery electric buses also reduce global greenhouse gas emissions and the consumption of fossil resources. The second part addresses a transformation path of public mobility services in rural areas, namely the integration of multimodal mobility hubs, as they link on-demand modes with public transportation, in particular to overcome the last-mile and to reduce the reliance on private car ownership. The two parts are framed by a preface and a conclusion. The first publication is a concise guide on designing decision-support tools for the integration of battery electric buses into urban bus networks for both practitioners and academics. In a first step, practitioners' requirements for integrating battery electric buses are derived from state-of-the-art specifications, project reports, and expert knowledge. In a second step, the fulfillment of the identified practitioners' requirements by state-of-the-art scientific approaches is analyzed. Based on this analysis, the gap between practice and research is outlined. The second publication includes a novel optimization-based model for determining a cost-optimal transformation plan for the integration of battery electric buses. Among others, it covers fleet planning, positioning of charging infrastructure, and operational planning. The planning model is suitable for real-world applications and narrows the gap of a strategic transformation planning model that anticipates the operation, while accounting for partial recharging at charging stations within the bus network. Based on a real-world case study, valuable managerial insights, e.g., regarding the feasibility and competitiveness of battery electric buses as well as beneficial technical specifications, are derived. The third publication presents a new (intuitive) methodology to identify critical connections within (public) transportation systems, especially for decision-makers in rural areas. The approach bases on a comparison of the indicators travel demand and travel velocity. Any connection is classified based on these two indicators in order to derive needs for action. For example, improving a connection with a high travel demand and a low travel velocity is considered to promise high improvements regarding the accessibility to points-of-interest and workplaces. The methodology is applied to a real-world case study in a rural region. The fourth publication introduces a novel decision support tool based on an optimization-based model for installing multimodal mobility hubs, while aiming at improving the accessibility to points-of-interest as well as to workplaces. The model covers decisions on locations of multimodal mobility hubs, the available on-demand modes, the required parking spaces, and the newly enabled travel itineraries. Based on the enabled travel itinera","url":"https://doi.org/10.18154/rwth-2021-11744","authors":["Dirks, Nicolas Bernd Frank"],"tags":["battery electric buses , locating charging infrastructure , transformation , intermodality , accessibility"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2021","doi":"10.18154/rwth-2021-11744","addedAt":"2026-08-31T06:39:57.286Z","updatedAt":"2026-08-31T06:39:57.286Z"},{"id":"doi:10.14288/hfjc.v14i3","name":"The Health &amp; Fitness Journal of Canada, Vol. 14 No. 3 (2021): Proceedings from the 8th International Society for Physical Activity and Health Congress","source":"datacite","abstract":"This issue contains the official proceedings of the 8th International Society for Physical Activity and Health Congress held virtually from Vancouver, Canada on October 12-14, 2021.","url":"https://doi.org/10.14288/hfjc.v14i3","authors":["Health, The"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2021","doi":"10.14288/hfjc.v14i3","addedAt":"2026-08-31T06:39:57.286Z","updatedAt":"2026-08-31T06:39:57.286Z"},{"id":"doi:10.34726/hss.2015.30103","name":"An analysis of Chiang Mai city's transport system and its path towards sustainability, with a focus on the role of the motorcycle and the shared-taxi","source":"datacite","abstract":"This thesis addresses the challenge of developing and implementing sustainable transport policies to mitigate negative environmental impacts caused by rapid growth of urbanised city areas within Southeast Asia. The recent trend towards urbanisation in Southeast Asia has seen many cities grow at a phenomenal rate as people have moved away from rural areas in search of employment. Resulting pressure on city transport systems has increased traffic congestion, air pollution, and the number of traffic accidents, with correspondingly detrimental effects on the quality of life. Acknowledging the challenging nature of attaining a sustainable transport system, this research investigates the potential of the motorcycle and the shared-taxi to improve sustainability within an urban transport system. Chiang Mai was chosen as the case study; it is the biggest city in Northern Thailand and, in recent years, has experienced rapid population growth, which has resulted in worsening transport problems. Motorcycles currently outnumber cars and are the preferred means of transport for local city residents. In addition, a form of shared-taxi service, which uses converted pick-up trucks, has operated within the city and the surrounding locality for over 50 years. The study begins with (a) a review of relevant past literature on these two modes of transport, (b) an analysis of previous studies of the city's transport system, and (c) a comparison of MARS (Metropolitan Activity Relocation Simulator) with five other sustainable transport planning models. The comparison indicated MARS was suitable for analysing the city's transport system; it operates at an urban level and has a track record of transferability for use in cities across different continents. Modifications to MARS were made to reflect the dominance of motorcycle transport and further changes accommodated analysis of the shared-taxi. The result is the Chiang Mai Metropolitan Activity Relocation Simulator (CNX-MARS). The System Dynamics (SD) model in CNX-MARS and Systems Thinking are the primary analytical tools used in this study. By tracing the development timeline of the city's transport system, the current context of its inherent problems was established. The timeline demonstrates the speed at which Chiang Mai has transformed from a \"walking\" city to a highly motorized city, plagued by traffic congestion and near-gridlock conditions in some central areas during peak travel times. A survey of 2,319 households was carried out to gather empirical data about the mobility behaviour of the city's residents. This data is used, in combination with data from other secondary sources, to uncover the underlying trends and attributes of the city's transport system. For example, an in-depth trip distribution analysis of the primary data revealed the dominance of motorcycle usage whereas shared-taxis are used for only 1% of all trips made by local residents. The complexity of the transport system and the difficulties faced in formulating suitable measures to resolve the issues were examined next, using a tailored Causal Loop Diagram (CLD) to simulate the interactions between different entities, such as the effect on the environment of preferred extensive use of privately owned vehicles when compared with public transport. This qualitative model is also used to review the effects of solutions offered by local decision makers responsible for Chiang Mai's transport policy and its implementation. The assessment shows a wide gap between the perceived best fit solutions preferred by decision makers and the forecast results of these measures when implemented within the transport system. The solutions suggested by the decision makers are combined with other proposals to form 16 alternative transport policies for the city. An assessment framework is created to evaluate these policies quantitatively. The framework is based on the policy makers' vision for the sustainability of the city and the results accessed fr","url":"https://doi.org/10.34726/hss.2015.30103","authors":["Jittrapirom, Peraphan"],"tags":["transport system","transport system"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2015","doi":"10.34726/hss.2015.30103","addedAt":"2026-08-31T06:39:57.286Z","updatedAt":"2026-08-31T06:39:57.286Z"},{"id":"doi:10.26076/bafd-dc79","name":"Planning for Active Transportation in the Western United States: An Alternative  Future for Cache Valley, Utah","source":"datacite","abstract":"Mobility in the western U.S. is defined primarily by the private automobile. Since the conclusion of WWII, the private automobile has become readily available to the public, and as a result, has heavily influenced the design of our modern cities in the west. In recent years the connections between high motor vehicle use and rising obesity rates, crumbling road infrastructure, and deteriorating air quality have caused city officials to reexamine the transportation systems of the west. One solution advocates, city officials, and planning professionals have begun examining is active transportation (walking, cycling, and public transit). Research suggests that a robust active transportation network not only diversifies mobility options, it also encourages compact urban development, cleaner air, and a move active population. This thesis developed a methodology for examining and documenting the components of an active transportation network in the western U.S. This was done though a comprehensive literature review to glean important active transportation policies, infrastructure, and best practices. Then, two western U.S. case study cities with relatively high amounts of cycling, walking, and public transit use were selected and analyzed with site visits and planning professional interviews. The data gathered throughout this first phase of the research was then synthesized, and reoccurring themes about cycling, walking and public transit were identified. These themes were labeled as the prerequisites for active transportation in cities of the western U.S. and were documented and prioritized based on their potential impact. The themes were vetted by planning professionals in the two case study cities as well as in Cache Valley to insure accuracy and validity. A final version of the prerequisites was then documented. The final phase of this research applied the prerequisites to the transportation system in Cache Valley, UT in order to insure the list was valid and reproducible under a variety of conditions. The outcome of this phase was GIS map displaying an alternative future for active transportation in Cache Valley, UT.","url":"https://doi.org/10.26076/bafd-dc79","authors":["Tomlin, Stephanie A."],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2018","doi":"10.26076/bafd-dc79","addedAt":"2026-08-31T06:39:57.286Z","updatedAt":"2026-08-31T06:39:57.286Z"},{"id":"doi:10.5281/zenodo.5150175","name":"Meteorological factors and COVID=19 Transmission - A Review","source":"datacite","abstract":"The coronavirus (SARS-CoV-2), emerged and identified by the end of the year 2019, has been found responsible for a series of lockdowns and a global medical emergency. Since then, several epidemiological studies have been conducted to identify and resolve the mysteries associated with the life-threatening viral strain (SARSCOV-2). The disease caused by SARS-CoV-2 is widely known as COVID-19. Researchers have well-established both the direct and indirect relationships between various climatic patterns, environmental and meteorological factors (i.e. air quality index (AQI), humidity, temperature, wind speed, etc.), and a surge in emergence, stability, and transmission of the COVID-19. The current review aims to dispense the relative variation in COVID-19 emergence, survival, stability, and transmission ratios due to the variant environmental, meteorological, and/or climatic factors.","url":"https://doi.org/10.5281/zenodo.5150175","authors":["Tabinda Razi","Naseem, Sajida","Naeem, Asma","Ishrat Perveen","Tallat Anwar Faridi","Sabahat, Saba","Naeem, Hafiza Najma"],"tags":["Contagiousness","Coronavirus","transmission","Air Quality Index","Pandemic"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2021","doi":"10.5281/zenodo.5150175","addedAt":"2026-08-31T06:39:57.286Z","updatedAt":"2026-08-31T06:39:57.286Z"},{"id":"doi:10.5281/zenodo.5150176","name":"Meteorological factors and COVID=19 Transmission - A Review","source":"datacite","abstract":"The coronavirus (SARS-CoV-2), emerged and identified by the end of the year 2019, has been found responsible for a series of lockdowns and a global medical emergency. Since then, several epidemiological studies have been conducted to identify and resolve the mysteries associated with the life-threatening viral strain (SARSCOV-2). The disease caused by SARS-CoV-2 is widely known as COVID-19. Researchers have well-established both the direct and indirect relationships between various climatic patterns, environmental and meteorological factors (i.e. air quality index (AQI), humidity, temperature, wind speed, etc.), and a surge in emergence, stability, and transmission of the COVID-19. The current review aims to dispense the relative variation in COVID-19 emergence, survival, stability, and transmission ratios due to the variant environmental, meteorological, and/or climatic factors.","url":"https://doi.org/10.5281/zenodo.5150176","authors":["Tabinda Razi","Naseem, Sajida","Naeem, Asma","Ishrat Perveen","Tallat Anwar Faridi","Sabahat, Saba","Naeem, Hafiza Najma"],"tags":["Contagiousness","Coronavirus","transmission","Air Quality Index","Pandemic"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2021","doi":"10.5281/zenodo.5150176","addedAt":"2026-08-31T06:39:57.286Z","updatedAt":"2026-08-31T06:39:57.286Z"},{"id":"doi:10.25911/5d739526e90f7","name":"Public transport in the Provinces : a study of innovation, diffusion and conflict in the Philippines","source":"datacite","abstract":"The completion of Manila's light rapid transit line in 1985 marked the arrival of modern rail transit in Southeast Asian cities. Largely inspired by foreign-assisted studies that have recommended mass transit as one solution to urban transport problems, the Manila Metrorail is similar to rail-based rapid transit facilities that have been built in many Third World countries since the mid-1960s. Policies promoting mass transit have inevitably created a conflict with intermediate forms of public transport, whose role is being displaced by large buses and rail modes. Repercussions of this conflict are reflected in changing levels of human mobility, opportunity for employment, economic stability and standard of living. As the practice of conducting large-scale transport studies has spread from capital cities to provincial areas of Third World countries, policies emulating those in the main urban centres have followed . Since the late 1970s, several transport studies have promoted the extension of rail rapid transit to provincial areas, and the Philippines are no exception . In testing the implication that existing public transport is inadequate, the public trans port industry of Cebu province is examined in detail . This approach is valuable in foreshadowing future developments for provincial areas in general . As this is not the first but the second wave of mass transit promotion, a review of both periods, extending from 1850 to 1985, is an essential prerequisite. The first wave involved railway and electric tramway construction throughout Asia, Africa and Latin America , promoted by expatriate colonial governments and foreign commercial interests. In most cases the main beneficiaries were Western contractors, financiers and opera tors , who earned a handsome profit , oblivious to the conflict with traditional values that was evident from the outset . Railways and trams uprooted cultures and lifestyles, and attempted to outperform casualties in the process. The arrival of small buses and motorcars marked the decline of mass transit's first wave, and World War II dealt the final blow to many rail systems. The dearth of public transport in most parts of the Third World after the war led to a resurgence of intermediate modes, in the form of non-motorised vehicles and adaptation of motorcar technology to create locally improvised public transport vehicles. The widespread adoption of such intermediate modes represents the basis for the modern conflict with mass transit's second wave. The Philippines are a good example of the effect of modernisation on public transport in developing countries. Analysis of the public transport industry in Cebu province reveals that service is of a high standard, consisting of five complementary modes. Because of their flexibility, operations are sensitive to shifts in demand, and fares are tailored to the ability of users to pay. The industry is owned and operated entirely by private enterprise. Due to its profitable nature, it makes few demands on public resources, contributing to government revenue through a variety of federal taxes. Ownership is scattered throughout the province among local residents. The public transport industry employs a large number of individuals, directly supporting the livelihood of close to lU per cent of the provincial population. Given the adequacy of existing public transport, factors other than official arguments of traffic congestion, air pollution , labour productivity and energy conservation must be involved. Indeed , foreign consultants, contractors and manufacturers are interested in expanding their markets for transport-related products and services. These efforts are supported by international financing, matching local government aspirations to gain political prestige and exert a stronger control over the transport industry.","url":"https://doi.org/10.25911/5d739526e90f7","authors":["Roschlau, Michael Walter"],"tags":["Transportation Philippines","Local transit Philippines"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"1985","doi":"10.25911/5d739526e90f7","addedAt":"2026-08-31T06:39:57.286Z","updatedAt":"2026-08-31T06:39:57.286Z"},{"id":"doi:10.48494/realcorp2019.1144","name":"Usability of Open Data for Smart City Applications – Evaluation of Data, Development of Application and Creation of Visual Dashboards","source":"datacite","abstract":"Today different sources of information on urban areas are becoming openly available at various spatial and temporal resolutions and extents. They are crucial for driving towards “Smart Cities”. Many smart cityrelevant applications, to understand and predict certain phenomena such as mobility, air quality, etc., depend on large amounts of readily available good quality data. Many datasets related to such topics are already publicly available. However, the appropriate use of these datasets must be ensured by checking the quality of data in a systematic way. Under quality of data, one not only evaluate the number of missing or false data points but also determine data characteristics such as resolution, frequency and ease of use, etc. Therefore, the objectives of this paper are to evaluate the open data available in different portals (80 in total) with special consideration to these factors and to evaluate their usability in some of the smart city applications. In this regard, an extensive literature review is carried out. We observed that especially official government data portal often lack these qualities. This could have occurred due to the lack of concrete examples of how cities and citizens can profit from the applications created with the appropriate kind of data. Some civil servants might have experienced some levels of mistrust regarding the abstract ideas of ‘Smart City’ and ‘Open Data’. We therefore illustrate three possible applications, e.g. (a) use of high-resolution low- cost sensor data around Europe (b) GPS trajectories of a large number of taxis monitored inside the city and (c) land-use and accesability data from voluntered geographic information. In this regard, other open source spatial data portals (such as Open Street Map APIs) and open source software such as python and relevant libraries are also utilized. For each application, we elaborate the data characteristics and the detailed methodological steps (e.g., analytics methods) as well as communicate the results with an easy to operate dashboard having strong visualisation and analytical aids (maps, graphs, statistical summary, etc.). The dashboards help to understand the significance of open data and to support decision makers in creatingservices for the citizens with the context of “Smart City”. Finally, we conclude with the limitation and further recommendations to the city officials regarding their role of shaping the future of (smart) cities with the right open data policy.","url":"https://doi.org/10.48494/realcorp2019.1144","authors":["Lehmler, Stephan","Murshed, Syed Monjur","Ansart, Louise","Shen, Yao"],"tags":["Smart City","Open data","Data Analytics","Dashboard","Python"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2019","doi":"10.48494/realcorp2019.1144","addedAt":"2026-08-31T06:39:57.286Z","updatedAt":"2026-08-31T06:39:57.286Z"},{"id":"doi:10.7916/cblr.v2018i2.1697","name":"Grounding Innovation","source":"datacite","abstract":"Unmanned aerial vehicles—”UAVs” or “drones”—are increasingly becoming a mainstream commercial phenomenon and tool for a vast range of commercial consumer, prosumer, and professional activities. Given advances in automation and miniaturization generally—and flight control stability and autopilot systems specifically—anyone can now fly in any airspace at any time by operating hand-held fixed-wing aircraft or quadcopters with little more than an ordinary smartphone or tablet. As such, sales of store-bought drones number in the millions, corresponding to the wide range of civil applications and value propositions that UAVs offer. Though civil drones are an attractive business investment, substantial regulatory headwinds confront the drone industry as startups endeavor to get to market and scale quickly. This is so notwithstanding—or perhaps even because of—the celebrated abilities of most small UAVs to fly boundlessly and collect and record information from nearly any vantage point. Drones are a classically disruptive technology of social, economic, and legal norms. Their operations raise novel and valid concerns in many of these areas, particularly in terms of safety and privacy. Consequently, regulators have responded—and they should. But federal, state, and local lawmakers alike have responded with policy interventions that are too often premature (or untimely) and overly rigid, discouraging the many beneficial uses of UAV technology. In fact, on the basis of ephemeral fears rather than data, regulators initially put in place overbroad and permission-based restraints that were tantamount to a de facto ban on all drone operations. This Article critiques the underlying thinking and approach that federal regulators have taken with respect to civil drones and argues that commercial UAVs should be a “permissionless innovation.” This Article posits that a better alternative to a top-down, ex-anteregulatory scheme is to broadly allow commercial UAVs and to deal with careless or reckless or nefarious operators and operations on a case-by-case, ex-postbasis. In doing so, this Article aims to present lessons learned in the context of commercial UAVs so that inefficiencies and paternalistic rulemaking can be avoided in the regulation of other innovations associated with the Internet of Things, including urban air mobility and electric vertical-takeoff-and-landing technologies—otherwise known as flying cars—that are just around the corner.","url":"https://doi.org/10.7916/cblr.v2018i2.1697","authors":["Ravich, Timothy M."],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2019","doi":"10.7916/cblr.v2018i2.1697","addedAt":"2026-08-31T06:39:57.286Z","updatedAt":"2026-08-31T06:39:57.286Z"},{"id":"doi:10.22004/ag.econ.308399","name":"GIS ANALYSIS OF PHYSICAL ACCESSIBILITY TO FOOD MARKETS IN THARAKA REGION OF KENYA","source":"datacite","abstract":"In semi-arid rural Kenya, most households travel long distances to access food markets. This has negative effects on food consumption and the use of market facilities. Over70 % of farmers in Tharaka Constituency lack access to formal markets often relying on contracted middlemen who buy at farm gate for traders in major urban centres. Studies on intra-variation in accessibility to market services remains scanty, yet market purchases account for most food consumed across urban and rural areas. Distance defines accessibility and performance of market facilities in most areas where food insecurity and malnutrition are common. This study used Geographic Information Systems (GIS) to measure physical accessibility to open air markets within semi-arid Tharaka, a constituency where vulnerability to acute food shortage is comparatively high. Normative, administrative and geospatial datasets were used in the analysis. Results showed that geographic accessibility to local market centres vary spatially across the villages. In terms of market accessibility, 40.4% of the total population live in areas with high inaccessibility risks while 36.1% are found in places with low inaccessibility risks and only 23.5% of the population exists in areas with moderate inaccessibility risks. This means a large proportion of deprived population live in villages within high to very high inaccessibility risk areas. This spatial inequity has implications on household food security and explains the chronic problems of hunger and malnutrition experienced in the area. Therefore, markets within high inaccessibility risk areas should be upgraded and infrastructure thereof improved to enable food mobility across these areas.","url":"https://doi.org/10.22004/ag.econ.308399","authors":["KIBETU, Dickson Kinoti","HUHO, Julius Mburu","OUNA, Tom Odhiambo","KIBETU, Dickson Kinoti","HUHO, Julius Mburu","OUNA, Tom Odhiambo"],"tags":["Agribusiness","Agricultural and Food Policy","Food Consumption/Nutrition/Food Safety","Food Security and Poverty","Marketing","FOS: Economics and business","FOS: Economics and business","Research and Development/Tech Change/Emerging Technologies"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2020","doi":"10.22004/ag.econ.308399","addedAt":"2026-08-31T06:39:57.286Z","updatedAt":"2026-08-31T06:39:57.286Z"},{"id":"doi:10.6082/uchicago.2341","name":"Renters, Buildings and Scale: A Spatial Analysis of Urban Tree Cover in Chicago","source":"datacite","abstract":"Trees play an important role in the function of urban ecosystems. Beyond their role as a habitat for birds and other animals, trees provide an array of essential ecosystem services: stormwater management (Berland et al. 2017), temperature control (Coseo and Larsen 2014), air pollution reduction (Nowak, Crane and Stevens 2006), and carbon sequestration (Kendall and McPherson 2012), among other ecosystem services. Recent research has focused on the relationship between rentership rates and the distribution of this environmental amenity in residential areas. The landmark research on this subject is from Perkins, Heynen and Wilson (2004), who examined a tree-planting program in Milwaukee and found a statistically significant negative correlation between rentership rates and residential canopy cover at the census tract level. Based on their review of the literature on differences between renter and owner-occupied housing, the authors suggest two factors that may produce this relationship: residential mobility, as renters are relatively transient and are unlikely to ever benefit from the trees they plant, and housing maintenance, as it is disadvantageous for renters to invest in improvements that enhance property values and may result in rising rents. Several other studies have investigated this relationship and have similarly found an inverse correlation between rentership and lower tree cover, in various cities at various spatial scales (Heynen, Perkins and Roy 2006; Landry and Chakraborty 2009; Koo et al. 2019). Although tree cover is not necessarily a perfect proxy for the ecosystem services provided by the urban forest, as Riley and Gardiner (2020) found in their comparison of tree canopy cover with a spatial measure of ecosystem service dollars, it remains a readily-available and widely-used figure to assess the distribution of these benefits. One potential explanation for this relationship that appears under-studied, however, is the role of the built environment in shaping disparities in tree cover. Renters tend to live in neighborhoods with a greater proportion of impervious surfaces, as well as other land-use types that leave less space for planting trees; it seems reasonable to question the extent to which the observed relationship between renters and tree cover is merely the product of renters disproportionately living in neighborhoods where the built environment allows less space for the growth of urban trees. This paper addresses that gap in the literature by investigating the relationship between tree cover, rentership, and a variety of built environment variables in Chicago. In this study, I found that considering aspects of the built environment, including single-family housing, housing age, and transit use, erases the apparent relationship between rentership and tree cover. While a \"traditional\" model using the socioeconomic indicators commonly used in the literature shows a negative relationship between rentership and tree cover in Chicago, I found that this relationship between rentership and tree cover may, in fact, be the product of other factors in the built environment. This finding indicates that previously-accepted explanations for the relationship between tree cover and rentership — residential mobility, housing maintenance, and the increased political influence of homeowners discussed by Landry &amp; Chakraborty (2009) — have to be re-evaluated in the light of this new evidence. While additional research is necessary to firmly establish that the observed relationship between rentership and tree cover is the product of urban form, these results provide a preliminary indicator that previous explanations for the spatial distribution of tree cover may not fully reflect all drivers of that distribution, requiring a re-evaluation of the broader literature around the distribution of environmental amenities.","url":"https://doi.org/10.6082/uchicago.2341","authors":["Joyce, Samuel"],"tags":["Chicago","Urban forestry","Environmental justice","Homeownership","Urban planning"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2020","doi":"10.6082/uchicago.2341","addedAt":"2026-08-31T06:39:57.286Z","updatedAt":"2026-08-31T06:39:57.286Z"},{"id":"doi:10.5281/zenodo.1314837","name":"Heavy Metal Contamination Of A Dumpsite Environment As Assessed With Pollution Indices","source":"datacite","abstract":"Indiscriminate refuse dumping in and around Ado-Ekiti combined with improper management of few available dumpsites, such as Ilokun dumpsite, posed the threat of heavy metals pollution in the surrounding soils and underground water that needs assessment using pollution indices. Surface soils (0-15 cm) were taken from the centre of Ilokun dumpsite (0 m) and environs at different directions and distances during the dry and wet seasons, as well as a background sample at 1000 m away, adjacent to the dumpsite at Ilokun, Ado-Ekiti, Nigeria. The concentration of heavy metals used to calculate the pollution indices for the soils were determined using Atomic Adsorption Spectrophotometer. The soils recorded high concentrations of all the heavy metals above the background concentrations irrespective of the season with highest concentrations at the 0 m except Ni and Fe at 50 m during the dry and wet season, respectively. The heavy metals concentration were in the order of Ni &gt; Mn &gt; Pb &gt; Cr &gt; Cu &gt; Cd &gt; Fe during the dry season, and Fe &gt; Cr &gt; Cu &gt; Pb &gt; Ni &gt; Cd &gt; Mn during the wet season. Using the Contamination Factor (CF), the soils were classified to be moderately contaminated with Cd and Fe to very high contamination with other metals during the dry season and low Cd contamination (0.87), moderate contamination with Fe, Pb, Mn and Ni and very high contamination with Cr and Cu during the wet season. At both seasons, the Pollution Load Index (PLI) indicates the soils to be generally polluted with heavy metals and the Geoaccumulation Index (I geo ) calculated shown the soils to be in unpolluted to moderately polluted levels. Enrichment Factor (EF) implied the soils to be deficiently enriched with all the heavy metals except Cr (7.90) and Cu (6.42) that were at significantly enrichment levels during the wet season. Modified Degree of Contamination (mC d ) recorded, indicated the soils to be of very high to extremely high degree of contamination during the dry season and moderate degree of contamination during the wet season except 0 m with high degree of contamination. The concentration of heavy metals in the soils combined with some of the pollution indices indicated the soils in and around the Ilokun Dumpsite are being polluted with heavy metals from anthropogenic sources constituted by the indiscriminate refuse dumping.","url":"https://doi.org/10.5281/zenodo.1314837","authors":["Olubunmi S. Shittu","Olufemi J. Ayodele","Ilori, Augustus O. A.","Abidemi O. Filani","Adetola T. Afuye"],"tags":["Contamination factor","enrichment factor","geoaccumulation index","modified degree of contamination","pollution load index."],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2017","doi":"10.5281/zenodo.1314837","addedAt":"2026-08-31T06:39:57.286Z","updatedAt":"2026-08-31T06:39:57.286Z"},{"id":"doi:10.5281/zenodo.1314836","name":"Heavy Metal Contamination Of A Dumpsite Environment As Assessed With Pollution Indices","source":"datacite","abstract":"Indiscriminate refuse dumping in and around Ado-Ekiti combined with improper management of few available dumpsites, such as Ilokun dumpsite, posed the threat of heavy metals pollution in the surrounding soils and underground water that needs assessment using pollution indices. Surface soils (0-15 cm) were taken from the centre of Ilokun dumpsite (0 m) and environs at different directions and distances during the dry and wet seasons, as well as a background sample at 1000 m away, adjacent to the dumpsite at Ilokun, Ado-Ekiti, Nigeria. The concentration of heavy metals used to calculate the pollution indices for the soils were determined using Atomic Adsorption Spectrophotometer. The soils recorded high concentrations of all the heavy metals above the background concentrations irrespective of the season with highest concentrations at the 0 m except Ni and Fe at 50 m during the dry and wet season, respectively. The heavy metals concentration were in the order of Ni &gt; Mn &gt; Pb &gt; Cr &gt; Cu &gt; Cd &gt; Fe during the dry season, and Fe &gt; Cr &gt; Cu &gt; Pb &gt; Ni &gt; Cd &gt; Mn during the wet season. Using the Contamination Factor (CF), the soils were classified to be moderately contaminated with Cd and Fe to very high contamination with other metals during the dry season and low Cd contamination (0.87), moderate contamination with Fe, Pb, Mn and Ni and very high contamination with Cr and Cu during the wet season. At both seasons, the Pollution Load Index (PLI) indicates the soils to be generally polluted with heavy metals and the Geoaccumulation Index (I geo ) calculated shown the soils to be in unpolluted to moderately polluted levels. Enrichment Factor (EF) implied the soils to be deficiently enriched with all the heavy metals except Cr (7.90) and Cu (6.42) that were at significantly enrichment levels during the wet season. Modified Degree of Contamination (mC d ) recorded, indicated the soils to be of very high to extremely high degree of contamination during the dry season and moderate degree of contamination during the wet season except 0 m with high degree of contamination. The concentration of heavy metals in the soils combined with some of the pollution indices indicated the soils in and around the Ilokun Dumpsite are being polluted with heavy metals from anthropogenic sources constituted by the indiscriminate refuse dumping.","url":"https://doi.org/10.5281/zenodo.1314836","authors":["Olubunmi S. Shittu","Olufemi J. Ayodele","Ilori, Augustus O. A.","Abidemi O. Filani","Adetola T. Afuye"],"tags":["Contamination factor","enrichment factor","geoaccumulation index","modified degree of contamination","pollution load index."],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2017","doi":"10.5281/zenodo.1314836","addedAt":"2026-08-31T06:39:57.286Z","updatedAt":"2026-08-31T06:39:57.286Z"},{"id":"doi:10.5281/zenodo.46139","name":"Annual Reports Of Education, Health And Sport 9781329900554","source":"datacite","abstract":"Radomska Szkoła Wyższa w Radomiu Radom University in Radom Annual Reports of Education, Health and Sport 9781329900554 Edited by Iwona Czerwińska Pawluk Jan Falkowski Hanna Żukowska Wiesława Pilewska Walery Zukow http://ojs.ukw.edu.pl/index.php/johs/index http://journal.rsw.edu.pl https://pbn.nauka.gov.pl/search?search&amp;searchCategory=WORK&amp;filter.inJournal=49068 https://pbn.nauka.gov.pl/search?search&amp;searchCategory=WORK&amp;filter.inJournal=36616 http://elibrary.ru/contents.asp?titleid=37467 Open Access Radom 2014 Radomska Szkoła Wyższa w Radomiu Radom University in Radom Annual Reports of Education, Health and Sport 9781329900554 Edited by Iwona Czerwińska Pawluk Jan Falkowski Hanna Żukowska Wiesława Pilewska Walery Zukow http://ojs.ukw.edu.pl/index.php/johs/index http://journal.rsw.edu.pl https://pbn.nauka.gov.pl/search?search&amp;searchCategory=WORK&amp;filter.inJournal=49068 https://pbn.nauka.gov.pl/search?search&amp;searchCategory=WORK&amp;filter.inJournal=36616 http://elibrary.ru/contents.asp?titleid=37467 Open Access Radom 2014 Scientific Council prof. zw. dr hab. geo. Z. Babiński (Poland), prof. zw. dr hab. med. T. Chumachenko (Ukraine), prof. zw. dr hab. techn. R. Cichon (Poland), prof. zw. dr hab med. N. Dragomiretskaya (Ukraine), prof. zw. dr hab. med. V. Ezhov (Ukraine), prof. zw. dr hab. geo. J. Falkowski (Poland), prof. zw. dr hab. med. A. Gozhenko (Ukraine), prof. zw. dr hab. geo. M. Grodzynskyi (Ukraine), prof. zw. dr hab. I. Grygus (Ukraine), prof. zw. dr hab med. A. Gudyma (Ukraine), prof. zw. dr hab. med. S. Gulyar (Ukraine), prof. zw. dr hab. med. W. Hagner (Poland), prof. zw. dr hab. med. I. Karwat (Poland), prof. zw. dr hab. med. M. Kyryliuk (Ukraine), prof. zw. dr hab. med. Y. Limansky (Ukraine), prof. zw. dr hab. geo. A. Melnik (Ukraine), prof. zw. dr hab. med. V. Mizin (Ukraine), prof. zw. dr hab. med. B. Nasibullin (Ukraine), prof. zw. dr hab. geo. O. Obodovskyi (Ukraine), prof. zw. dr hab. med. I. Samosiuk (Ukraine), prof. zw. dr hab. med. L. Shafran (Ukraine), prof. zw. dr hab. med. I. Shmakova (Ukraine), prof. zw. dr hab. med.A. Svirskiy (Ukraine), prof. zw. dr hab. O. Sokolov (Ukraine), prof. zw. dr hab. med. V. Stebliuk (Ukraine), prof. zw. dr hab. S. Yermakov, (Ukraine), prof. dr hab. med. A. Avramenko, doc. PaedDr. Elena Bendíková, PhD. (Slovakia), prof. dr hab. K. Buśko (Poland), dr hab. med. E. Gozhenko (Ukraine), prof. dr hab. H. Knapik (Poland), dr hab. R. Muszkieta (Poland), prof. dr hab. med. W. Myśliński (Poland), prof. dr hab. M. Napierała (Poland), prof. dr hab. M. Pastuszko (Poland), prof. dr hab. K. Prusik (Poland), prof. dr hab. M. Zasada (Poland), dr med. L. Butskaia (Ukraine), dr I. M. Batyk (Poland), dr M. Cieślicka (Poland), dr med. M. Charzynska-Gula (Poland), doc. dr n. med. V. Cherno (Ukraine), dr med. K. Cywinski (Poland), dr med. I. Czerwinska Pawluk (Poland), dr biol. S. Dolomatov (Ukraine), dr med. M. Dzierzanowski (Poland), dr med. M. Hagner-Derengowska (Poland), dr med. B. Jędrzejewska (Poland), dr med. U. Kazmierczak (Poland), dr med. K. Kiczuk (Poland), dr Z. Kwaśnik (Poland), dr med. T. Madej (Poland), dr med. E. Mikolajewska (Poland), dr D. Mikolajewski (Poland), dr med. B. Muszynska (Poland), dr med. A. Nalazek (Poland), dr med. N. Novikov (Ukraine), dr med. K. Nowacka (Poland), dr med. G. Polak (Poland), dr med. P. Prokopczyk (Poland), dr med. A. Radziminska (Poland), dr med. L. Sierpinska (Poland), dr Daves Sinch (Republic of India), doc. dr A. Skaliy (Ukraine), dr T. Skaliy (Ukraine), dr B. Stankiewicz (Poland), dr med. E. Trela (Poland) E ditorial Board Stefan Adamcak (Slovakia), Pavol Bartik (Slovakia), Elena Bend^kova (Czech Republic), Janusz Bielski (Poland), Krzysztof Buśko (Poland), Mirosława Cieślicka (Poland), Jerzy Eksterowicz (Poland), Włodzimierz Erdmann (Poland), Tomasz Frołowicz (Poland), Attila Gilanyi (Hungary), Igor Grygus (Ukraine), Halina Guła-Kubiszewska (Poland), Paweł Izdebski (Poland), Sergii Iermakov (Ukraine), Tetyana Iermakova","url":"https://doi.org/10.5281/zenodo.46139","authors":["Starenkyi, Victor et al."],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2014","doi":"10.5281/zenodo.46139","addedAt":"2026-08-31T06:39:57.286Z","updatedAt":"2026-08-31T06:39:57.286Z"},{"id":"doi:10.5281/zenodo.46031","name":"Annual Reports Of Education, Health And Sport 9781329900523","source":"datacite","abstract":"Radomska Szkoła Wyższa w Radomiu Radom University in Radom Annual Reports of Education, Health and Sport 9781329900523 Edited by Iwona Czerwińska Pawluk Radosław Muszkieta Hanna Żukowska Wiesława Pilewska Mariusz Klimczyk Walery Zukow http://ojs.ukw.edu.pl/index.php/johs/index http://journal.rsw.edu.pl https://pbn.nauka.gov.pl/search?search&amp;searchCategory=WORK&amp;filter.inJournal=49068 https://pbn.nauka.gov.pl/search?search&amp;searchCategory=WORK&amp;filter.inJournal=36616 http://elibrary.ru/contents.asp?titleid=37467 Open Access Radom 2013 Radomska Szkoła Wyższa w Radomiu Radom University in Radom Annual Reports of Education, Health and Sport 9781329900523 Edited by Iwona Czerwińska Pawluk Radosław Muszkieta Hanna Żukowska Wiesława Pilewska Mariusz Klimczyk Walery Zukow http://ojs.ukw.edu.pl/index.php/johs/index http://journal.rsw.edu.pl https://pbn.nauka.gov.pl/search?search&amp;searchCategory=WORK&amp;filter.inJournal=49068 https://pbn.nauka.gov.pl/search?search&amp;searchCategory=WORK&amp;filter.inJournal=36616 http://elibrary.ru/contents.asp?titleid=37467 Open Access Radom 2013 Scientific Council prof. zw. dr hab. geo. Z. Babiński (Poland), prof. zw. dr hab. med. T. Chumachenko (Ukraine), prof. zw. dr hab. techn. R. Cichon (Poland), prof. zw. dr hab med. N. Dragomiretskaya (Ukraine), prof. zw. dr hab. med. V. Ezhov (Ukraine), prof. zw. dr hab. geo. J. Falkowski (Poland), prof. zw. dr hab. med. A. Gozhenko (Ukraine), prof. zw. dr hab. geo. M. Grodzynskyi (Ukraine), prof. zw. dr hab. I. Grygus (Ukraine), prof. zw. dr hab med. A. Gudyma (Ukraine), prof. zw. dr hab. med. S. Gulyar (Ukraine), prof. zw. dr hab. med. W. Hagner (Poland), prof. zw. dr hab. med. I. Karwat (Poland), prof. zw. dr hab. med. M. Kyryliuk (Ukraine), prof. zw. dr hab. med. Y. Limansky (Ukraine), prof. zw. dr hab. geo. A. Melnik (Ukraine), prof. zw. dr hab. med. V. Mizin (Ukraine), prof. zw. dr hab. med. B. Nasibullin (Ukraine), prof. zw. dr hab. geo. O. Obodovskyi (Ukraine), prof. zw. dr hab. med. I. Samosiuk (Ukraine), prof. zw. dr hab. med. L. Shafran (Ukraine), prof. zw. dr hab. med. I. Shmakova (Ukraine), prof. zw. dr hab. med.A. Svirskiy (Ukraine), prof. zw. dr hab. O. Sokolov (Ukraine), prof. zw. dr hab. med. V. Stebliuk (Ukraine), prof. zw. dr hab. S. Yermakov, (Ukraine), prof. dr hab. med. A. Avramenko, doc. PaedDr. Elena Bendíková, PhD. (Slovakia), prof. dr hab. K. Buśko (Poland), dr hab. med. E. Gozhenko (Ukraine), prof. dr hab. H. Knapik (Poland), dr hab. R. Muszkieta (Poland), prof. dr hab. med. W. Myśliński (Poland), prof. dr hab. M. Napierała (Poland), prof. dr hab. M. Pastuszko (Poland), prof. dr hab. K. Prusik (Poland), prof. dr hab. M. Zasada (Poland), dr med. L. Butskaia (Ukraine), dr I. M. Batyk (Poland), dr M. Cieślicka (Poland), dr med. M. Charzynska-Gula (Poland), doc. dr n. med. V. Cherno (Ukraine), dr med. K. Cywinski (Poland), dr med. I. Czerwinska Pawluk (Poland), dr biol. S. Dolomatov (Ukraine), dr med. M. Dzierzanowski (Poland), dr med. M. Hagner-Derengowska (Poland), dr med. B. Jędrzejewska (Poland), dr med. U. Kazmierczak (Poland), dr med. K. Kiczuk (Poland), dr Z. Kwaśnik (Poland), dr med. T. Madej (Poland), dr med. E. Mikolajewska (Poland), dr D. Mikolajewski (Poland), dr med. B. Muszynska (Poland), dr med. A. Nalazek (Poland), dr med. N. Novikov (Ukraine), dr med. K. Nowacka (Poland), dr med. G. Polak (Poland), dr med. P. Prokopczyk (Poland), dr med. A. Radziminska (Poland), dr med. L. Sierpinska (Poland), dr Daves Sinch (Republic of India), doc. dr A. Skaliy (Ukraine), dr T. Skaliy (Ukraine), dr B. Stankiewicz (Poland), dr med. E. Trela (Poland) E ditorial Board Stefan Adamcak (Slovakia), Pavol Bartik (Slovakia), Elena Bend^kova (Czech Republic), Janusz Bielski (Poland), Krzysztof Buśko (Poland), Mirosława Cieślicka (Poland), Jerzy Eksterowicz (Poland), Włodzimierz Erdmann (Poland), Tomasz Frołowicz (Poland), Attila Gilanyi (Hungary), Igor Grygus (Ukraine), Halina Guła-Kubiszewska (Poland), Paweł Izdebski (Poland), ","url":"https://doi.org/10.5281/zenodo.46031","authors":["Majchrzak, Katarzyna et al."],"tags":["Annual Reports","Education","Health","Sport","9781329900523"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2013","doi":"10.5281/zenodo.46031","addedAt":"2026-08-31T06:39:57.286Z","updatedAt":"2026-08-31T06:39:57.286Z"},{"id":"doi:10.5281/zenodo.46140","name":"Annual Reports Of Education, Health And Sport 9781329900561","source":"datacite","abstract":"Radomska Szkoła Wyższa w Radomiu Radom University in Radom Annual Reports of Education, Health and Sport 9781329900561 Edited by Iwona Czerwińska Pawluk Jan Falkowski Hanna Żukowska Wiesława Pilewska Walery Zukow http://ojs.ukw.edu.pl/index.php/johs/index http://journal.rsw.edu.pl https://pbn.nauka.gov.pl/search?search&amp;searchCategory=WORK&amp;filter.inJournal=49068 https://pbn.nauka.gov.pl/search?search&amp;searchCategory=WORK&amp;filter.inJournal=36616 http://elibrary.ru/contents.asp?titleid=37467 Open Access Radom 2014 Radomska Szkoła Wyższa w Radomiu Radom University in Radom Annual Reports of Education, Health and Sport 9781329900561 Edited by Iwona Czerwińska Pawluk Jan Falkowski Hanna Żukowska Wiesława Pilewska Walery Zukow http://ojs.ukw.edu.pl/index.php/johs/index http://journal.rsw.edu.pl https://pbn.nauka.gov.pl/search?search&amp;searchCategory=WORK&amp;filter.inJournal=49068 https://pbn.nauka.gov.pl/search?search&amp;searchCategory=WORK&amp;filter.inJournal=36616 http://elibrary.ru/contents.asp?titleid=37467 Open Access Radom 2014 Scientific Council prof. zw. dr hab. geo. Z. Babiński (Poland), prof. zw. dr hab. med. T. Chumachenko (Ukraine), prof. zw. dr hab. techn. R. Cichon (Poland), prof. zw. dr hab med. N. Dragomiretskaya (Ukraine), prof. zw. dr hab. med. V. Ezhov (Ukraine), prof. zw. dr hab. geo. J. Falkowski (Poland), prof. zw. dr hab. med. A. Gozhenko (Ukraine), prof. zw. dr hab. geo. M. Grodzynskyi (Ukraine), prof. zw. dr hab. I. Grygus (Ukraine), prof. zw. dr hab med. A. Gudyma (Ukraine), prof. zw. dr hab. med. S. Gulyar (Ukraine), prof. zw. dr hab. med. W. Hagner (Poland), prof. zw. dr hab. med. I. Karwat (Poland), prof. zw. dr hab. med. M. Kyryliuk (Ukraine), prof. zw. dr hab. med. Y. Limansky (Ukraine), prof. zw. dr hab. geo. A. Melnik (Ukraine), prof. zw. dr hab. med. V. Mizin (Ukraine), prof. zw. dr hab. med. B. Nasibullin (Ukraine), prof. zw. dr hab. geo. O. Obodovskyi (Ukraine), prof. zw. dr hab. med. I. Samosiuk (Ukraine), prof. zw. dr hab. med. L. Shafran (Ukraine), prof. zw. dr hab. med. I. Shmakova (Ukraine), prof. zw. dr hab. med.A. Svirskiy (Ukraine), prof. zw. dr hab. O. Sokolov (Ukraine), prof. zw. dr hab. med. V. Stebliuk (Ukraine), prof. zw. dr hab. S. Yermakov, (Ukraine), prof. dr hab. med. A. Avramenko, doc. PaedDr. Elena Bendíková, PhD. (Slovakia), prof. dr hab. K. Buśko (Poland), dr hab. med. E. Gozhenko (Ukraine), prof. dr hab. H. Knapik (Poland), dr hab. R. Muszkieta (Poland), prof. dr hab. med. W. Myśliński (Poland), prof. dr hab. M. Napierała (Poland), prof. dr hab. M. Pastuszko (Poland), prof. dr hab. K. Prusik (Poland), prof. dr hab. M. Zasada (Poland), dr med. L. Butskaia (Ukraine), dr I. M. Batyk (Poland), dr M. Cieślicka (Poland), dr med. M. Charzynska-Gula (Poland), doc. dr n. med. V. Cherno (Ukraine), dr med. K. Cywinski (Poland), dr med. I. Czerwinska Pawluk (Poland), dr biol. S. Dolomatov (Ukraine), dr med. M. Dzierzanowski (Poland), dr med. M. Hagner-Derengowska (Poland), dr med. B. Jędrzejewska (Poland), dr med. U. Kazmierczak (Poland), dr med. K. Kiczuk (Poland), dr Z. Kwaśnik (Poland), dr med. T. Madej (Poland), dr med. E. Mikolajewska (Poland), dr D. Mikolajewski (Poland), dr med. B. Muszynska (Poland), dr med. A. Nalazek (Poland), dr med. N. Novikov (Ukraine), dr med. K. Nowacka (Poland), dr med. G. Polak (Poland), dr med. P. Prokopczyk (Poland), dr med. A. Radziminska (Poland), dr med. L. Sierpinska (Poland), dr Daves Sinch (Republic of India), doc. dr A. Skaliy (Ukraine), dr T. Skaliy (Ukraine), dr B. Stankiewicz (Poland), dr med. E. Trela (Poland) E ditorial Board Stefan Adamcak (Slovakia), Pavol Bartik (Slovakia), Elena Bend^kova (Czech Republic), Janusz Bielski (Poland), Krzysztof Buśko (Poland), Mirosława Cieślicka (Poland), Jerzy Eksterowicz (Poland), Włodzimierz Erdmann (Poland), Tomasz Frołowicz (Poland), Attila Gilanyi (Hungary), Igor Grygus (Ukraine), Halina Guła-Kubiszewska (Poland), Paweł Izdebski (Poland), Sergii Iermakov (Ukraine), Tetyana Iermakova","url":"https://doi.org/10.5281/zenodo.46140","authors":["Pleshko, E A. et al."],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2014","doi":"10.5281/zenodo.46140","addedAt":"2026-08-31T06:39:57.286Z","updatedAt":"2026-08-31T06:39:57.286Z"},{"id":"doi:10.5281/zenodo.1317232","name":"The Relationship Between Land Use Factors And Feeling Of Happiness At The Neighbourhood Level","source":"datacite","abstract":"Happiness can be related to everything that can provide a feeling of satisfaction or pleasure. This study tries to consider the relationship between land use factors and feeling of happiness at the neighbourhood level. Land use variables (beautiful and attractive neighbourhood design, availability and quality of shopping centres, sufficient recreational spaces and facilities, and sufficient daily service centres) are used as independent variables and the happiness score is used as the dependent variable in this study. In addition to the land use variables, socio-economic factors (gender, race, marital status, employment status, education, and income) are also considered as independent variables. This study uses the Oxford happiness questionnaire to estimate happiness score of more than 300 people living in six neighbourhoods. The neighbourhoods are selected randomly from Skudai neighbourhoods in Johor, Malaysia. The land use data were obtained by adding related questions to the Oxford happiness questionnaire. The strength of the relationship in this study is found using generalised linear modelling (GLM). The findings of this research indicate that increase in happiness feeling is correlated with an increasing income, more beautiful and attractive neighbourhood design, sufficient shopping centres, recreational spaces, and daily service centres. The results show that all land use factors in this study have significant relationship with happiness but only income, among socio-economic factors, can affect happiness significantly. Therefore, land use factors can affect happiness in Skudai more than socio-economic factors.","url":"https://doi.org/10.5281/zenodo.1317232","authors":["M. Moeinaddini","Z. Asadi-Shekari","Z. Sultan","M. Zaly Shah"],"tags":["Neighbourhood land use","neighbourhood design","happiness","socio-economic factors","generalised linear modelling."],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2018","doi":"10.5281/zenodo.1317232","addedAt":"2026-08-31T06:39:57.286Z","updatedAt":"2026-08-31T06:39:57.286Z"},{"id":"doi:10.5281/zenodo.1317231","name":"The Relationship Between Land Use Factors And Feeling Of Happiness At The Neighbourhood Level","source":"datacite","abstract":"Happiness can be related to everything that can provide a feeling of satisfaction or pleasure. This study tries to consider the relationship between land use factors and feeling of happiness at the neighbourhood level. Land use variables (beautiful and attractive neighbourhood design, availability and quality of shopping centres, sufficient recreational spaces and facilities, and sufficient daily service centres) are used as independent variables and the happiness score is used as the dependent variable in this study. In addition to the land use variables, socio-economic factors (gender, race, marital status, employment status, education, and income) are also considered as independent variables. This study uses the Oxford happiness questionnaire to estimate happiness score of more than 300 people living in six neighbourhoods. The neighbourhoods are selected randomly from Skudai neighbourhoods in Johor, Malaysia. The land use data were obtained by adding related questions to the Oxford happiness questionnaire. The strength of the relationship in this study is found using generalised linear modelling (GLM). The findings of this research indicate that increase in happiness feeling is correlated with an increasing income, more beautiful and attractive neighbourhood design, sufficient shopping centres, recreational spaces, and daily service centres. The results show that all land use factors in this study have significant relationship with happiness but only income, among socio-economic factors, can affect happiness significantly. Therefore, land use factors can affect happiness in Skudai more than socio-economic factors.","url":"https://doi.org/10.5281/zenodo.1317231","authors":["M. Moeinaddini","Z. Asadi-Shekari","Z. Sultan","M. Zaly Shah"],"tags":["Neighbourhood land use","neighbourhood design","happiness","socio-economic factors","generalised linear modelling."],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2018","doi":"10.5281/zenodo.1317231","addedAt":"2026-08-31T06:39:57.286Z","updatedAt":"2026-08-31T06:39:57.286Z"},{"id":"doi:10.5281/zenodo.1093415","name":"Heavy Metals And Polycyclic Aromatic Hydrocarbons In Roadside Soil Samples: A Review","source":"datacite","abstract":"Diverse contaminants released into the environment through progress of urbanization and industrialization adversely affect human health. Among various sources of contaminants, especially, in big cities, automobiles play a significant role in aggravating the pollution. Various pollutants viz., heavy metals (Pb, Mn, Ni, Zn, As, Hg, Cd) and Polyaromatic hydrocarbons (Benzo-a-pyrene, fluoranthene, pyrene, benzo-b-anthracene, benzo-b-fluoranthene, acenaphthylene, fluorine, phenantherene, anthracene, chrysene, benzo-k-fluoranthene, benzo-e-pyrene, indenol-1,2,3-cd-pyrene, dibenzo-a,h-anthracene, benzo-ghi-perylene) are released by vehicles. Further, these pollutants are expected to cause severe mutagenic, genotoxic and carcinogenic effects. Considering this, many authors monitored the levels of pollution in roadside soil, water and plants. The present review focuses upon the analysis and effects of heavy metals and polycyclic aromatic hydrocarbons from the roadside samples.","url":"https://doi.org/10.5281/zenodo.1093415","authors":["R. Kaur","J. K. Katnoria"],"tags":["Automobiles","Carcinogenicity","Atomic Absorption Spectrophotometer","Gas Chromatography – Mass Spectroscopy","Soil pollution."],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2014","doi":"10.5281/zenodo.1093415","addedAt":"2026-08-31T06:39:57.286Z","updatedAt":"2026-08-31T06:39:57.286Z"},{"id":"doi:10.5281/zenodo.1093416","name":"Heavy Metals And Polycyclic Aromatic Hydrocarbons In Roadside Soil Samples: A Review","source":"datacite","abstract":"Diverse contaminants released into the environment through progress of urbanization and industrialization adversely affect human health. Among various sources of contaminants, especially, in big cities, automobiles play a significant role in aggravating the pollution. Various pollutants viz., heavy metals (Pb, Mn, Ni, Zn, As, Hg, Cd) and Polyaromatic hydrocarbons (Benzo-a-pyrene, fluoranthene, pyrene, benzo-b-anthracene, benzo-b-fluoranthene, acenaphthylene, fluorine, phenantherene, anthracene, chrysene, benzo-k-fluoranthene, benzo-e-pyrene, indenol-1,2,3-cd-pyrene, dibenzo-a,h-anthracene, benzo-ghi-perylene) are released by vehicles. Further, these pollutants are expected to cause severe mutagenic, genotoxic and carcinogenic effects. Considering this, many authors monitored the levels of pollution in roadside soil, water and plants. The present review focuses upon the analysis and effects of heavy metals and polycyclic aromatic hydrocarbons from the roadside samples.","url":"https://doi.org/10.5281/zenodo.1093416","authors":["R. Kaur","J. K. Katnoria"],"tags":["Automobiles","Carcinogenicity","Atomic Absorption Spectrophotometer","Gas Chromatography – Mass Spectroscopy","Soil pollution."],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2014","doi":"10.5281/zenodo.1093416","addedAt":"2026-08-31T06:39:57.286Z","updatedAt":"2026-08-31T06:39:57.286Z"},{"id":"doi:10.5281/zenodo.1093112","name":"Ecotoxicological Studies Of Soil Using Analytical And Biological Methods: A Review","source":"datacite","abstract":"Soil is a complex physical and biological system that provides support, water, nutrients and oxygen to the plants. Apart from these, it acts as a connecting link between inorganic, organic and living components of the ecosystem. In recent years, presence of xenobiotics, alterations in the natural soil environment, application of pesticides/inorganic fertilizers, percolation of contaminated surface water as well as leachates from landfills to subsurface strata and direct discharge of industrial wastes to the land have resulted in soil pollution which in turn has posed severe threats to human health especially in terms of causing carcinogenicity by direct DNA damage. The present review is an attempt to summarize literature on sources of soil pollution, characterization of pollutants and their consequences in different living systems.","url":"https://doi.org/10.5281/zenodo.1093112","authors":["V. Chahal","A. Nagpal","Y. B. Pakade","J. K. Katnoria"],"tags":["Soil Pollution","Contaminants","Heavy metals","Pesticides","Bioassays."],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2014","doi":"10.5281/zenodo.1093112","addedAt":"2026-08-31T06:39:57.286Z","updatedAt":"2026-08-31T06:39:57.286Z"},{"id":"doi:10.5281/zenodo.1093111","name":"Ecotoxicological Studies Of Soil Using Analytical And Biological Methods: A Review","source":"datacite","abstract":"Soil is a complex physical and biological system that provides support, water, nutrients and oxygen to the plants. Apart from these, it acts as a connecting link between inorganic, organic and living components of the ecosystem. In recent years, presence of xenobiotics, alterations in the natural soil environment, application of pesticides/inorganic fertilizers, percolation of contaminated surface water as well as leachates from landfills to subsurface strata and direct discharge of industrial wastes to the land have resulted in soil pollution which in turn has posed severe threats to human health especially in terms of causing carcinogenicity by direct DNA damage. The present review is an attempt to summarize literature on sources of soil pollution, characterization of pollutants and their consequences in different living systems.","url":"https://doi.org/10.5281/zenodo.1093111","authors":["V. Chahal","A. Nagpal","Y. B. Pakade","J. K. Katnoria"],"tags":["Soil Pollution","Contaminants","Heavy metals","Pesticides","Bioassays."],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2014","doi":"10.5281/zenodo.1093111","addedAt":"2026-08-31T06:39:57.286Z","updatedAt":"2026-08-31T06:39:57.286Z"},{"id":"doi:10.1155/2024/9848450","name":"Retracted: Safety Monitoring System and Method for Unmanned Operation of Unmanned Aerial Vehicle Distribution Network Based on Learning Control Robot Technology","source":"crossref","abstract":"","url":"https://doi.org/10.1155/2024/9848450","authors":["Journal of Robotics"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-01-25T07:50:43Z","doi":"10.1155/2024/9848450","addedAt":"2026-08-31T06:39:57.336Z","updatedAt":"2026-08-31T06:39:57.336Z"},{"id":"doi:10.1007/978-981-96-3568-9_43","name":"An Air-Ground Cooperative Situation Fusion Algorithm Based on Multi-unmanned Ground Vehicle and Multi-unmanned Aerial Vehicle","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-981-96-3568-9_43","authors":["Xuejiao Xia","Nan Xiang","Dan Zou","Di Wang","Ziye Zhao"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-04-02T10:45:24Z","doi":"10.1007/978-981-96-3568-9_43","addedAt":"2026-08-31T06:39:57.336Z","updatedAt":"2026-08-31T06:40:02.531Z"},{"id":"doi:10.54254/2755-2721/33/20230275","name":"A review of unmanned aerial vehicle path planning techniques","source":"crossref","abstract":"The paper offers an exhaustive scholarly review of the algorithms and techniques employed in Unmanned Aerial Vehicle (UAV) path planning, categorizing these methodologies based on spatial dimensions, planning steps, and the nature of planning maps. It provides a critical evaluation of a plethora of algorithms, including random search methods, particle swarm algorithms, genetic algorithms, and A* algorithms, among others. The study elucidates the advantages and limitations of each algorithm, with a particular focus on their efficacy in real-time planning and navigation within complex three-dimensional environments. It underscores that while the domain of pre-flight path planning has reached a level of relative maturity, there exists a conspicuous gap in the literature concerning real-time obstacle avoidance and optimal path planning, particularly when constrained by limited computational resources. The paper thus serves as both a comprehensive review and a call for further research aimed at addressing these identified lacunae to ensure the generation of safe and feasible UAV trajectories.","url":"https://doi.org/10.54254/2755-2721/33/20230275","authors":["Zhibo Zhang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-02-02T03:41:09Z","doi":"10.54254/2755-2721/33/20230275","addedAt":"2026-08-31T06:39:57.336Z","updatedAt":"2026-08-31T06:39:58.777Z"},{"id":"doi:10.1109/icaice63571.2024.10864252","name":"The Current Research Status of Unmanned Aerial Vehicle Maneuver Penetration Decision-Making","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icaice63571.2024.10864252","authors":["Yutao Zhuang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-02-06T18:31:48Z","doi":"10.1109/icaice63571.2024.10864252","addedAt":"2026-08-31T06:39:57.336Z","updatedAt":"2026-08-31T06:39:57.336Z"},{"id":"doi:10.1109/cac63892.2024.10865349","name":"Improved Antiskid Braking Control Algorithm and System Design for Unmanned Aerial Vehicle","source":"crossref","abstract":"","url":"https://doi.org/10.1109/cac63892.2024.10865349","authors":["Shuo Jiang","Pengcheng Mao","Junzheng Wang","Qingli Zhang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-02-13T13:29:08Z","doi":"10.1109/cac63892.2024.10865349","addedAt":"2026-08-31T06:39:57.336Z","updatedAt":"2026-08-31T06:39:57.336Z"},{"id":"doi:10.2139/ssrn.4912108","name":"Deep Learning-Driven Unmanned Aerial Vehicle Target Detection and Tracking: Techniques, Challenges, and Future Directions","source":"crossref","abstract":"The utilization of Unmanned Aerial Vehicles (UAVs) for target detection and tracking is an expanding field, pivotal for applications in surveillance, military operations, and traffic management in smart cities. This review explores the evolution of UAV-based detection systems, with an emphasis on the transition from classical sensor-based techniques to advanced deep-learning methods. This report focuses on the advantages that deep learning based approaches offer over traditional sensor-based techniques. For target detection, modern detection techniques involve using deep learning methods to detect different targets. Various computer vision techniques based on Convolutional Neural Networks (CNN) are used to identify targets in images and videos. On the other hand, classical detection techniques involve using onboard sensors to collect data from the environment. Once the target information is obtained, signal processing techniques are used to remove the noise and amplify weak signals allowing better feature extraction. The features extracted from signals or images are then used by classification algorithms to classify the target type, target location, and other relevant information. Similarly, UAV target tracking can be performed using a deep learning approach. Deep learning tracking models utilize sophisticated algorithms to track a detected target by predicting its motion or trajectory. depth estimation algorithms can also be useful if a target approach is necessary. Alternative methods involve using filtering techniques to estimate the state of a dynamic target over time based on noisy sensor measurements.","url":"https://doi.org/10.2139/ssrn.4912108","authors":["Ahtisham Urooj","Mohamed Khalifa","Ashhad Shahid","Ammar Alzaydi"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-07-31T13:24:03Z","doi":"10.2139/ssrn.4912108","addedAt":"2026-08-31T06:39:57.336Z","updatedAt":"2026-08-31T06:39:57.336Z"},{"id":"doi:10.1063/5.0215082","name":"SLAM technology in unmanned aerial vehicle","source":"crossref","abstract":"","url":"https://doi.org/10.1063/5.0215082","authors":["Haogen Huang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-06-26T17:00:28Z","doi":"10.1063/5.0215082","addedAt":"2026-08-31T06:39:57.336Z","updatedAt":"2026-08-31T06:39:57.336Z"},{"id":"doi:10.1016/j.sciaf.2024.e02203","name":"Optimizing 2D path planning for unmanned aerial vehicle inspection of electric transmission lines","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.sciaf.2024.e02203","authors":["Lamyae Fahmani","Siham Benhadou"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-03-29T03:16:01Z","doi":"10.1016/j.sciaf.2024.e02203","addedAt":"2026-08-31T06:39:57.336Z","updatedAt":"2026-08-31T06:39:57.336Z"},{"id":"doi:10.3390/drones8060238","name":"Analysis of Unmanned Aerial Vehicle-Assisted Cellular Vehicle-to-Everything Communication Using Markovian Game in a Federated Learning Environment","source":"crossref","abstract":"The paper studies a game theory model to ensure fairness and improve the communication efficiency in an unmanned aerial vehicle (UAV)-assisted cellular vehicle-to-everything (C-V2X) communication network using Markovian game theory in a federated learning (FL) environment. The UAV and each vehicle in a cluster utilized a strategy-based mechanism to maximize their model completion and transmission probability. We modeled a two-stage zero sum Markovian game with incomplete information to jointly study the utility maximization of the participating vehicles and the UAV in the FL environment. We modeled the aggregating process at the UAV as a mixed strategy game between the UAV and each vehicle. By employing Nash equilibrium, the UAV determined the probability of sufficient updates received from each vehicle. We analyzed and proposed decision-making strategies for several representative interactions involving gross data offloading and federated learning. When multiple vehicles enter a parameter transmission conflict, various strategy combinations are evaluated to decide which vehicles transmit their data to the UAV. The optimal payoff in a transmission window is derived using the Karush–Khun–Tucker (KKT) optimality conditions. We also studied the variation in optimal model parameter transmission probability, average packet delay, UAV transmit power, and the UAV–Vehicle optimal communication probabilities under different conditions.","url":"https://doi.org/10.3390/drones8060238","authors":["Xavier Fernando","Abhishek Gupta"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-06-03T05:58:00Z","doi":"10.3390/drones8060238","addedAt":"2026-08-31T06:39:57.336Z","updatedAt":"2026-08-31T06:39:57.336Z"},{"id":"doi:10.1109/robot61475.2024.10796915","name":"Realistic Unmanned Aerial Vehicle Simulation: A Comprehensive Approach","source":"crossref","abstract":"","url":"https://doi.org/10.1109/robot61475.2024.10796915","authors":["David Tejero-Ruiz","Francisco J. Pérez-Gran","Antidio Viguria","Aníbal Ollero"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-12-23T19:10:37Z","doi":"10.1109/robot61475.2024.10796915","addedAt":"2026-08-31T06:39:57.336Z","updatedAt":"2026-08-31T06:39:57.336Z"},{"id":"doi:10.18127/j20700784-202405-07","name":"Unmanned aerial vehicle as an air defense target","source":"crossref","abstract":"There have been reports of unauthorized use of unmanned aerial vehicles (UAVs) in highly controlled areas (airports, military installations, against critical industrial infrastructure) in the media since the mid-2000s. Nowadays, small UAVs are widely used for unauthorized surveillance of important objects, conducting terrorist attacks and sabotage, carrying prohibited goods (weapons, drugs), as well as for military purposes. For this reason, the problem of countering UAVs, and especially small UAVs, has become extremely relevant. Analysis of publications in this area has shown a small number of serious studies on this topic. There are often too optimistic conclusions about the effectiveness of existing air defense systems for countering all types of UAVs in many papers. However, the problem of countering UAVs, and especially small UAVs, is highly complex, multi-faceted, and has not been solved yet. The purpose of this paper is to systematize and analyze various ways and means of countering UAVs, as well as to form general directions for effective solution of the problem. The material presented in the paper focuses on the analysis of the capabilities of air defense means to physical countering UAVs. The results of systematization and analysis of various methods and means of countering UAVs, which are based on physical interception, are presented in the article. This systematization is based on more than 60 open sources. The analysis of the sources show the main features of the UAV as an object of destruction and made possible a detailed multi-aspect analysis of modern air defense systems, their effectiveness and disadvantage. Suggestions for improving the effectiveness of the air defense systems what are used against UAVs are also summarized in this paper. Elements of the novelty of the paper are the general features of the detection and destruction of UAVs as well as systemic disadvantage in technological solutions of the air defense systems which lead to a decrease in their combat effectiveness when they are used against UAVs. The material of the paper can be used to generate initial data for modeling and studying the combat effectiveness of the air defense systems when countering UAVs. This article can be useful for designers who design countering UAV systems as well.","url":"https://doi.org/10.18127/j20700784-202405-07","authors":["S.I. Makarenko","I.E. Afonin","M.S. Ivanov"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-10-02T15:56:28Z","doi":"10.18127/j20700784-202405-07","addedAt":"2026-08-31T06:39:57.336Z","updatedAt":"2026-08-31T06:39:57.336Z"},{"id":"doi:10.1109/telepe64216.2024.00119","name":"Unmanned Aerial Vehicle Autonomous Flight Path Planning Algorithm Based on Deep Learning","source":"crossref","abstract":"","url":"https://doi.org/10.1109/telepe64216.2024.00119","authors":["Shengpeng Li","Yuhan Qian"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-10-18T17:27:27Z","doi":"10.1109/telepe64216.2024.00119","addedAt":"2026-08-31T06:39:57.336Z","updatedAt":"2026-08-31T06:39:57.336Z"},{"id":"doi:10.2139/ssrn.4852997","name":"Performance Evaluation For  Anycast Routing Protocol in Unmanned Aerial Vehicle Networks","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.4852997","authors":["Yuhong Xiang","Shuai Gao","Hongchao Wang","Dong Yang","Yuming Zhang","Hongke Zhang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-06-04T05:18:11Z","doi":"10.2139/ssrn.4852997","addedAt":"2026-08-31T06:39:57.336Z","updatedAt":"2026-08-31T06:39:57.336Z"},{"id":"doi:10.1109/icccs61882.2024.10602809","name":"Multi-Unmanned Aerial Vehicle Agricultural Inspection System Based on Federated Learning","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icccs61882.2024.10602809","authors":["Zhenyu Wu","Shangjing Lin"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-08-01T17:32:49Z","doi":"10.1109/icccs61882.2024.10602809","addedAt":"2026-08-31T06:39:57.336Z","updatedAt":"2026-08-31T06:39:57.336Z"},{"id":"doi:10.3390/machines12050296","name":"Spring-Damped Underactuated Swashplateless Rotor on a Bicopter Unmanned Aerial Vehicle","source":"crossref","abstract":"The stabilisation capabilities of unmanned aerial vehicles (UAVs) with bicopter underactuated swashplateless rotors are highly sensitive to motor-induced vibration. Due to the requirement of the active control of underactuated swashplateless rotors, conventional designs are limited in reducing vibration through control optimisation. A solution with customized passive spring-damping structures on a unique underactuated swashplateless rotor of a tiltrotor bicopter platform is presented. The implementation of this structure effectively reduces the self-coherent vibration in flights. As a result, a higher level of control authority has been achieved without setting excessive low-pass filtering for vibration. Experimentally obtained inertial measurement unit (IMU) data, rotor speed, rotor tilt angle, and the cyclic stator response are presented for comparison with Simulink model predictions.","url":"https://doi.org/10.3390/machines12050296","authors":["Haofei Guan","K. C. Wong"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-04-29T10:33:36Z","doi":"10.3390/machines12050296","addedAt":"2026-08-31T06:39:57.336Z","updatedAt":"2026-08-31T06:39:57.336Z"},{"id":"doi:10.1109/acai63924.2024.10899696","name":"Optimizing Unmanned Aerial Vehicle Paths with a Spider Wasp Algorithm","source":"crossref","abstract":"","url":"https://doi.org/10.1109/acai63924.2024.10899696","authors":["Zhuo Liu","Mian Zheng"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-03-03T18:27:20Z","doi":"10.1109/acai63924.2024.10899696","addedAt":"2026-08-31T06:39:57.336Z","updatedAt":"2026-08-31T06:39:57.336Z"},{"id":"doi:10.1109/icet63392.2024.10935181","name":"Unmanned Aerial Vehicle Classification via YOLOv9 and Recurrent Neural Network","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icet63392.2024.10935181","authors":["Muhammad Hanzla","Muhammad Ovais Yusuf","Ahmad Jalal"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-03-27T02:21:45Z","doi":"10.1109/icet63392.2024.10935181","addedAt":"2026-08-31T06:39:57.336Z","updatedAt":"2026-08-31T06:39:57.336Z"},{"id":"doi:10.1109/eexpolytech62224.2024.10755642","name":"Moving Target Localization and Enclosing Control with Fixed-Wing Unmanned Aerial Vehicle","source":"crossref","abstract":"","url":"https://doi.org/10.1109/eexpolytech62224.2024.10755642","authors":["Quynh T. Thanh Nguyen"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-11-20T18:57:06Z","doi":"10.1109/eexpolytech62224.2024.10755642","addedAt":"2026-08-31T06:39:57.336Z","updatedAt":"2026-08-31T06:39:57.336Z"},{"id":"doi:10.1109/irac63143.2024.10871858","name":"Application of stepwise regression method in aerodynamic parameter identification of unmanned aerial vehicle","source":"crossref","abstract":"","url":"https://doi.org/10.1109/irac63143.2024.10871858","authors":["Hanbing Li"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-02-12T18:16:38Z","doi":"10.1109/irac63143.2024.10871858","addedAt":"2026-08-31T06:39:57.336Z","updatedAt":"2026-08-31T06:39:57.336Z"},{"id":"doi:10.1109/apuavd64488.2024.10765862","name":"Multi-Class Vehicle Detection and Classification with YOLO11 on UAV-Captured Aerial Imagery","source":"crossref","abstract":"","url":"https://doi.org/10.1109/apuavd64488.2024.10765862","authors":["Murat Bakirci","Petro Dmytrovych","Irem Bayraktar","Oleh Anatoliyovych"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-01-10T14:53:12Z","doi":"10.1109/apuavd64488.2024.10765862","addedAt":"2026-08-31T06:39:57.336Z","updatedAt":"2026-08-31T06:39:57.336Z"},{"id":"doi:10.1109/auteee62881.2024.10869791","name":"Model-Free Tracking Control for Non-Affine Lipschitz Unmanned Aerial Vehicle Systems","source":"crossref","abstract":"","url":"https://doi.org/10.1109/auteee62881.2024.10869791","authors":["Yiwen Lu"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-02-13T18:31:13Z","doi":"10.1109/auteee62881.2024.10869791","addedAt":"2026-08-31T06:39:57.336Z","updatedAt":"2026-08-31T06:39:57.336Z"},{"id":"doi:10.3390/en17153731","name":"Unmanned Aerial Vehicle (UAV)-Assisted Damage Detection of Wind Turbine Blades: A Review","source":"crossref","abstract":"The wind energy sector is experiencing rapid growth, marked by the expansion of wind farms and the development of large-scale turbines. However, conventional manual methods for wind turbine operations and maintenance are struggling to keep pace with this development, encountering challenges related to quality, efficiency, and safety. In response, unmanned aerial vehicles (UAVs) have emerged as a promising technology offering capabilities to effectively and economically perform these tasks. This paper provides a review of state-of-the-art research and applications of UAVs in wind turbine blade damage detection, operations, and maintenance. It encompasses various topics, such as optical and thermal UAV image-based inspections, integration with robots or embedded systems for damage detection, and the design of autonomous UAV flight planning. By synthesizing existing knowledge and identifying key areas for future research, this review aims to contribute insights for advancing the digitalization and intelligence of wind energy operations.","url":"https://doi.org/10.3390/en17153731","authors":["Zengyi Zhang","Zhenru Shu"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-07-29T09:50:05Z","doi":"10.3390/en17153731","addedAt":"2026-08-31T06:39:57.336Z","updatedAt":"2026-08-31T06:39:59.807Z"},{"id":"doi:10.1109/icpects62210.2024.10780226","name":"Unmanned Aerial Vehicle – Disaster Management","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icpects62210.2024.10780226","authors":["Panjavarnam B","Anish Bose S S","Dinesh K","Nataraj P"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-12-12T19:07:09Z","doi":"10.1109/icpects62210.2024.10780226","addedAt":"2026-08-31T06:39:57.336Z","updatedAt":"2026-08-31T06:39:57.336Z"},{"id":"doi:10.23919/ccc63176.2024.10661423","name":"A Guidance Method for Fixed-wing Unmanned Aerial Vehicle Based on Model Predictive Control","source":"crossref","abstract":"","url":"https://doi.org/10.23919/ccc63176.2024.10661423","authors":["Jianjian Liang","Shoukun Wang","Zhi Liu"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-09-17T18:46:36Z","doi":"10.23919/ccc63176.2024.10661423","addedAt":"2026-08-31T06:39:57.336Z","updatedAt":"2026-08-31T06:39:57.336Z"},{"id":"doi:10.36652/0869-4931-2024-78-9-404-410","name":"Analytical synthesis of the control laws at short-period longitudinal motion of the unmanned aerial vehicle","source":"crossref","abstract":"Analytical expressions of control laws for a linearized model of short-period longitudinal motion of a third-order unmanned aerial vehicle are obtained. The synthesis is based on the original decomposition of the control object and the method of modal state-based control of a dynamic system, previously developed on its basis. The numerical modeling results of the aircraft short-period longitudinal motion control by using analytically synthesized control laws, which are graphs of transient processes and control actions, are presented. Keywords decomposition, modal synthesis, longitudinal short-period motion of an aircraft, poles of a dynamic system","url":"https://doi.org/10.36652/0869-4931-2024-78-9-404-410","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-10-07T10:29:30Z","doi":"10.36652/0869-4931-2024-78-9-404-410","addedAt":"2026-08-31T06:39:57.336Z","updatedAt":"2026-08-31T06:39:57.336Z"},{"id":"doi:10.1504/ijpt.2024.10057473","name":"Energy Consumption Optimisation for Unmanned Aerial Vehicle based on Reinforcement Learning Framework","source":"crossref","abstract":"","url":"https://doi.org/10.1504/ijpt.2024.10057473","authors":["Yang Xing","Ziyue Wang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-07-09T13:00:10Z","doi":"10.1504/ijpt.2024.10057473","addedAt":"2026-08-31T06:39:57.336Z","updatedAt":"2026-08-31T06:39:57.336Z"},{"id":"doi:10.23919/ccc63176.2024.10661906","name":"Research on Unmanned Aerial Vehicle Attitude Estimation Algorithm Based on Monocular Vision","source":"crossref","abstract":"","url":"https://doi.org/10.23919/ccc63176.2024.10661906","authors":["Wei Zhang","Wanlong Dong","Fengying Ma","Peng Ji"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-09-17T18:46:36Z","doi":"10.23919/ccc63176.2024.10661906","addedAt":"2026-08-31T06:39:57.336Z","updatedAt":"2026-08-31T06:39:57.336Z"},{"id":"doi:10.54254/2753-8818/30/20241073","name":"Unmanned aerial vehicle face recognition technology research progress","source":"crossref","abstract":"In recent years, face recognition technology has become a significant advance in the area of biometrics and machine vision. It paves the way for a wide range of applications, including security systems, access control, surveillance, and user authentication. These applications are undoubtedly a major innovation in the field of UAV, which will greatly expand and extend its application scenarios. This paper shows a compositive review of UAV facial identification technology, including its basic principles, techniques, challenges, and ethical considerations. According to the different stages, this paper focuses on RCNN and YOLO, two more widely used target detection technologies and their respective technical iterations, and through the comparison of the two in terms of technical characteristics and application scenarios, the advantages of the two are obtained, and combined with the current UAV workflow. Get the stage in which they play a specific role. This paper reviews the existing literature and research on face recognition, aiming to help people better understand the current process of this technology and its wider social application and impact.","url":"https://doi.org/10.54254/2753-8818/30/20241073","authors":["Jiakang Hao","Xinglu Zhu"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-01-23T02:51:45Z","doi":"10.54254/2753-8818/30/20241073","addedAt":"2026-08-31T06:39:57.336Z","updatedAt":"2026-08-31T06:39:57.336Z"},{"id":"doi:10.1109/icce59016.2024.10444259","name":"Analyzing the Efficacy of Synthetic Images in Unmanned Aerial Vehicle Detection","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icce59016.2024.10444259","authors":["Solmaz Arezoomandan","John Klohoker","David K. Han"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-02-28T13:47:20Z","doi":"10.1109/icce59016.2024.10444259","addedAt":"2026-08-31T06:39:57.336Z","updatedAt":"2026-08-31T06:39:57.336Z"},{"id":"doi:10.3390/drones8100537","name":"A Fault-Tolerant Multi-Agent Reinforcement Learning Framework for Unmanned Aerial Vehicles–Unmanned Ground Vehicle Coverage Path Planning","source":"crossref","abstract":"In this paper, we introduce a fault-tolerant multi-agent reinforcement learning framework called SERT-DQN to optimize the operations of UAVs with UGV central control in coverage path planning missions. Our approach leverages dual learning systems that combine individual agent autonomy with centralized strategic planning, thus enhancing the efficiency of cooperative path planning missions. This framework is designed for high performance in environments with fault uncertainty detected and operational challenges such as interruptions in connectivity and compromised sensor reliability. With the integration of an innovative communication system between agents, our system appropriately handles both static and dynamic environments. Also, we introduce similarity-based shared experience replay to attain faster convergence and sample efficiency in the multi-agent system. The architecture is specially designed to respond adaptively to such irregularities by effectively showing enhanced resilience in scenarios where data integrity is impaired due to faults or the UAV faces disruptions. Simulation results indicate that our fault tolerance algorithms are very resilient and do indeed improve mission outcomes, especially under dynamic and highly uncertain operating conditions. This approach becomes critical for the most recent sensor-based research in autonomous systems.","url":"https://doi.org/10.3390/drones8100537","authors":["Mahya Ramezani","M. A. Amiri Atashgah","Alireza Rezaee"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-09-30T06:39:35Z","doi":"10.3390/drones8100537","addedAt":"2026-08-31T06:39:57.336Z","updatedAt":"2026-08-31T06:39:57.336Z"},{"id":"doi:10.2139/ssrn.4932100","name":"Rice Seeding Through Unmanned Aerial Vehicle: A Pioneer Approach in Crop Establishment","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.4932100","authors":["Adithya Kannan","Ramesh T","Rathika Selvaraj","Vanniarajan Chockalingam","Raja Kalimuthu","Prabhu Govindasamy"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-08-22T19:25:41Z","doi":"10.2139/ssrn.4932100","addedAt":"2026-08-31T06:39:57.336Z","updatedAt":"2026-08-31T06:39:57.336Z"},{"id":"doi:10.4236/oalib.1110232","name":"Course Design for Low-Altitude Atmospheric Detection\nExperiment Based on Multi-Rotor Unmanned Aerial Vehicle","source":"crossref","abstract":"","url":"https://doi.org/10.4236/oalib.1110232","authors":["Xiaohang Wen"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-02-27T09:36:22Z","doi":"10.4236/oalib.1110232","addedAt":"2026-08-31T06:39:57.336Z","updatedAt":"2026-08-31T06:39:57.336Z"},{"id":"doi:10.2139/ssrn.4927830","name":"Quantitative Assessment of Factors that Influence Heat Vulnerability in Residential Areas Using Machine Learning and Unmanned Aerial Vehicle","source":"crossref","abstract":"In this study, we analyzed the temporal variations in the land surface temperature (LST) in a residential area in Okgye-dong, Jung-gu, Daejeon in South Korea, using unmanned aerial vehicle (UAV) imagery and machine-learning (ML) techniques. We selected an area with a thermally vulnerable environment, high ratio of elderly population, and high potential for heatwaves (during summer). Exploratory data analysis (EDA) was employed to calculate the basic statistics and the relationship between variables. Then, confirmatory data analysis (CDA) was conducted, and a range of nonlinear regression models were employed. The results revealed that the key variables that influenced the thermal environment of the study area varied with time, while highlighting the impact of weather elements. The evaluation of different nonlinear regression models revealed that the alley width, distance from the river, and shadow ratio were importance features that affected the heat vulnerability in the residential areas. Furthermore, an analysis of residuals indicated that with respect to the time-slots wherein the measurements were conducted, the model predictions did not depict any specific pattern. Thus, this study presents an analysis of the thermal environment in urban areas from the perspective of the urban microenvironment. The quantitative assessment and data-analysis methods proposed in this study can be utilized to improve the thermal environment in urban residential areas with high heat vulnerability.","url":"https://doi.org/10.2139/ssrn.4927830","authors":["Jawoon Gu","Dongwoo Kim","Seungwoo Son"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-08-19T05:55:21Z","doi":"10.2139/ssrn.4927830","addedAt":"2026-08-31T06:39:57.336Z","updatedAt":"2026-08-31T06:39:57.336Z"},{"id":"doi:10.1145/3662739.3670222","name":"NSGA-II Algorithm in Path Planning of Multiple Unmanned Aerial Vehicle Collaborative Search Tasks","source":"crossref","abstract":"","url":"https://doi.org/10.1145/3662739.3670222","authors":["Xin Huang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-08-03T10:41:34Z","doi":"10.1145/3662739.3670222","addedAt":"2026-08-31T06:39:57.336Z","updatedAt":"2026-08-31T06:39:57.336Z"},{"id":"doi:10.32738/jeppm-2024-0006","name":"Data Logging and Analysis in an Unmanned Aerial Vehicle-Assisted Internet of Things Network","source":"crossref","abstract":"","url":"https://doi.org/10.32738/jeppm-2024-0006","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-11-28T11:06:28Z","doi":"10.32738/jeppm-2024-0006","addedAt":"2026-08-31T06:39:57.336Z","updatedAt":"2026-08-31T06:39:57.336Z"},{"id":"doi:10.1117/12.3027188","name":"Research on machine vision-based unmanned aerial vehicle landing technology","source":"crossref","abstract":"","url":"https://doi.org/10.1117/12.3027188","authors":["Chao Xie"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-04-01T14:13:09Z","doi":"10.1117/12.3027188","addedAt":"2026-08-31T06:39:57.336Z","updatedAt":"2026-08-31T06:39:57.336Z"},{"id":"doi:10.18372/1990-5548.82.19379","name":"System an Unmanned Aerial Vehicle Trajectory Generation in Real Time","source":"crossref","abstract":"This paper addresses the problem of real-time trajectory generation for unmanned aerial vehicles, emphasizing its importance for various applications such as search and rescue operations, environmental monitoring, and precision agriculture. The challenges associated with dynamic trajectory generation, including obstacle avoidance, adherence to mission constraints, and computational efficiency, are analyzed. A hybrid approach is proposed that integrates advanced path planning algorithms with real-time optimization techniques to ensure safe and efficient unmanned aerial vehicle navigation in complex environments. The system leverages onboard sensors and external data sources, such as GPS and LiDAR, for situational awareness and dynamic obstacle detection. A key feature of the proposed system is the ability to adapt the trajectory in response to real-time changes in the environment, ensuring robustness and reliability during autonomous flight. The implementation utilizes the PX4 autopilot platform, AirSim simulation environment, and QGroundControl software to validate the effectiveness of the proposed approach. The results demonstrate that the system achieves a balance between computational efficiency and trajectory accuracy, enabling its deployment in practical unmanned aerial vehicle applications.","url":"https://doi.org/10.18372/1990-5548.82.19379","authors":["Victor Sineglazov","Artem Nikulin"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-04-01T09:56:10Z","doi":"10.18372/1990-5548.82.19379","addedAt":"2026-08-31T06:39:57.336Z","updatedAt":"2026-08-31T06:39:57.336Z"},{"id":"doi:10.15407/kvt215.01.005","name":"Algorithm for controlling the full energy of an unmanned aerial vehicle","source":"crossref","abstract":"","url":"https://doi.org/10.15407/kvt215.01.005","authors":["O. Volkov","V. Simakhin"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-06-05T13:59:38Z","doi":"10.15407/kvt215.01.005","addedAt":"2026-08-31T06:39:57.336Z","updatedAt":"2026-08-31T06:39:57.336Z"},{"id":"doi:10.1109/igarss53475.2024.10640586","name":"Assessing Wildfire Impact on Soil Through Unmanned Aerial Vehicle based Thermal Band Observations","source":"crossref","abstract":"","url":"https://doi.org/10.1109/igarss53475.2024.10640586","authors":["Bibek Acharya","Michael E. Barber"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-09-05T17:56:13Z","doi":"10.1109/igarss53475.2024.10640586","addedAt":"2026-08-31T06:39:57.336Z","updatedAt":"2026-08-31T06:39:57.336Z"},{"id":"doi:10.1145/3662739.3672308","name":"Unmanned Aerial Vehicle Application of Multispectral Sensor Data in Agriculture","source":"crossref","abstract":"","url":"https://doi.org/10.1145/3662739.3672308","authors":["Xintong Han","Yike Sang","Songling Zhao"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-08-03T06:41:34Z","doi":"10.1145/3662739.3672308","addedAt":"2026-08-31T06:39:57.336Z","updatedAt":"2026-08-31T06:39:57.336Z"},{"id":"doi:10.1002/9781394175512.ch9","name":"Implementation Analysis of Ransomware and Unmanned Aerial Vehicle Attacks","source":"crossref","abstract":"","url":"https://doi.org/10.1002/9781394175512.ch9","authors":["Sidhant Sharma","Pradeepta Kumar Sarangi","Bhisham Sharma","Girija Bhusan Subudhi"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-02-07T14:29:16Z","doi":"10.1002/9781394175512.ch9","addedAt":"2026-08-31T06:39:57.336Z","updatedAt":"2026-08-31T06:39:57.336Z"},{"id":"doi:10.1117/12.3032589","name":"Interference unmanned aerial vehicle deployment algorithm based on improved grey wolf algorithm","source":"crossref","abstract":"","url":"https://doi.org/10.1117/12.3032589","authors":["wenjie deng","song chen","fawei chen","wenzhi zhao"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-08-17T04:47:12Z","doi":"10.1117/12.3032589","addedAt":"2026-08-31T06:39:57.336Z","updatedAt":"2026-08-31T06:39:57.336Z"},{"id":"doi:10.36348/sb.2024.v10i03.002","name":"Technological Innovation: New Unmanned Aerial Vehicle Target Tracking Technology","source":"crossref","abstract":"This article mainly discusses a new type of unmanned aerial vehicle target tracking technology, comprising a drone using a built-in GPS module and a device with a built-in GPS module worn by a human body. When the human body is in motion, the device worn by the human body and the drone generate pseudocodes; Perform pseudorange measurement at a certain moment in GPS time; Obtain a nonlinear equation system related to pseudorange, repeat iterative calculations to obtain accurate coordinates, use Dijkstra algorithm to calculate the shortest path in a weighted directed graph, and the drone flies according to the shortest movement trajectory from the starting point to the human target point; The drone and device of the present invention perform pseudorange measurement at a certain moment in GPS time, and repeat iterative calculations to reduce errors, which is conducive to obtaining accurate coordinates of the device and drone; Based on weighted graph search, the coordinates of the drone and the human body are treated as two endpoints, representing the starting and ending points. The algorithm calculates the shortest trajectory in the graph.","url":"https://doi.org/10.36348/sb.2024.v10i03.002","authors":["Jun Zhu","Zhi-Zhuang Duan","Chen Yao"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-03-05T11:17:41Z","doi":"10.36348/sb.2024.v10i03.002","addedAt":"2026-08-31T06:39:57.336Z","updatedAt":"2026-08-31T06:39:57.336Z"},{"id":"doi:10.1117/12.3013949","name":"Parameter estimation of an unmanned aerial vehicle using dandelion algorithm","source":"crossref","abstract":"","url":"https://doi.org/10.1117/12.3013949","authors":["Mohammad A. AlShabi","Omar Saleh","Khaled Obaideen","Andrew A. Gadsden","Maamar Bettayeb"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-04-19T17:43:39Z","doi":"10.1117/12.3013949","addedAt":"2026-08-31T06:39:57.336Z","updatedAt":"2026-08-31T06:39:57.336Z"},{"id":"doi:10.1201/9781003385615-11","name":"Coverage Analysis in Air-Ground Communications under Random Disturbances in an Unmanned Aerial Vehicle","source":"crossref","abstract":"","url":"https://doi.org/10.1201/9781003385615-11","authors":["Esteban Tlelo-Coyotecatl","Giselle Monserrat Galván-Tejada","Manuel Mauricio Lara-Barrón"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-02-06T03:17:44Z","doi":"10.1201/9781003385615-11","addedAt":"2026-08-31T06:39:57.336Z","updatedAt":"2026-08-31T06:39:57.336Z"},{"id":"doi:10.1109/siu61531.2024.10601031","name":"Detection of Asphalt Pavement Cracks with YOLO Architectures from Unmanned Aerial Vehicle Images","source":"crossref","abstract":"","url":"https://doi.org/10.1109/siu61531.2024.10601031","authors":["Ebrar Ödübek","Muhammed Enes Atik"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-07-23T17:57:31Z","doi":"10.1109/siu61531.2024.10601031","addedAt":"2026-08-31T06:39:57.336Z","updatedAt":"2026-08-31T06:39:57.336Z"},{"id":"doi:10.1145/3661810.3663463","name":"TinyBlimp: A Promising Frontier for Autonomous Miniature Unmanned Aerial Vehicles","source":"crossref","abstract":"","url":"https://doi.org/10.1145/3661810.3663463","authors":["Marco Pellegrino","Michał Barciś","Jennifer Simonjan","Zulkarnaen","Carla F. Chiasserini","Enrico Natalizio"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-06-04T06:19:06Z","doi":"10.1145/3661810.3663463","addedAt":"2026-08-31T06:39:57.336Z","updatedAt":"2026-08-31T06:39:57.336Z"},{"id":"doi:10.2139/ssrn.4915300","name":"Trajectory Control for a Quadrotor Unmanned Aerial Vehicle: Adaptive Super-Twisting Terminal Sliding Mode with Adjustable Recurrent Neural Network","source":"crossref","abstract":"This paper studies the trajectory tracking control of a quadrotor UAV under unknown conditions and external disturbances. To solve the problem of controller design for accurate modeling of system dynamics f and g, which cannot be obtained in real time when the mass and inertia parameters of a quadrotor are unknown and uncertain, we designed an adjustable recurrent neural network (ARNN) to directly approximate the equivalent control. However, there are some problems in the approximation control model of recurrent neural network, the first one is inaccuracy of approximation control, the second one is lack of nonlinear generalisation ability for various task data, and gradient vanishing of data in backpropagation. The ARNN uses an inverse square root unit activation function, where the shape of the activation function is freely controlled by the value of α to adapt to different data distributions, increase the generalization ability, and reduce the gradient vanishing of backpropagation. In addition, the self-feedback control is improved, the design of ARNN makes more accurate in approximating theequivalent control. The whole closed-loop system includes the control algorithm of super-twisting terminal sliding mode combined with ARNN. The high-frequency chattering phenomenon of existing sliding mode controllers is still a major limitation. By introducing the exponential nonlinear term into the improved super-twisting algorithm, a new super-twisting algorithm is designed and applied to the discontinuous control design to accelerate the convergence rate and further reduce the chattering phenomenon. The global finite time convergence is proved by using Lyapunov function and Lassalle invariance principle. Simulation results demonstrate the effectiveness and superiority of this method in UAV trajectory tracking.","url":"https://doi.org/10.2139/ssrn.4915300","authors":["Peike Huang","Zhanshan Zhao","Xinghao Qin"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-08-03T17:20:16Z","doi":"10.2139/ssrn.4915300","addedAt":"2026-08-31T06:39:57.336Z","updatedAt":"2026-08-31T06:39:57.336Z"},{"id":"doi:10.1109/sces61914.2024.10652328","name":"Artificial Intelligence Assisted Unmanned Aerial Vehicle for Sustainable Smart Farm Health Security Management System","source":"crossref","abstract":"","url":"https://doi.org/10.1109/sces61914.2024.10652328","authors":["Kriti Agrawal","Sachin Sharma"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-09-03T17:20:38Z","doi":"10.1109/sces61914.2024.10652328","addedAt":"2026-08-31T06:39:57.336Z","updatedAt":"2026-08-31T06:39:57.336Z"},{"id":"doi:10.56753/asrel.2024.2.3","name":"Design of a Multi-Purpose Vertical Take-Off and Landing Unmanned Aerial Vehicle","source":"crossref","abstract":"Bu çalışma, engebeli arazilerde çalışabilen çok amaçlı bir Dikey Kalkış ve İniş (VTOL) İnsansız Hava Aracının (İHA) kavramsal ve detaylı tasarımına odaklanmaktadır. Son yıllarda VTOL teknolojisindeki hızlı gelişmeler, tarım, lojistik ve savunma gibi sektörlerde geleneksel sistemlere kıyasla daha az alan gerektiren ve çok yönlü yeteneklere sahip hava araçlarına olan talebi artırmıştır. Operasyonel yükü rahat şekilde değiştirilen VTOL hava araçları günümüzde mühimmat bırakma, tarımsal ilaçlama, arama kurtarma, yangın söndürme gibi birçok sektörde kullanılabilmektedir. VTOL İHA'lar hibrit konseptleri sayesinde dar alanlarda kalkış ve iniş yapabilme, havada sabit kalabilme ve yatay uçuş moduna geçiş sağlayarak önemli operasyonel avantajlar sunmaktadır. Bu çalışmada tasarlanan İHA, 20 m/s seyir hızı, 100-500 metre arasında değişen maksimum irtifa aralığı ve 0,5 kg faydalı yük kapasitesiyle zorlu görevler için optimize edilmiştir. Hava aracı çeşitli görev aygıtları ile konfigüre edilerek veri toplama, yük taşıma ve gözlem gibi görev profillerini desteklemektedir, NACA 4412 kanat profili, ters V kuyruk konfigürasyonu ve modüler bileşenler gibi aerodinamik ve yapısal özellikler göz önünde bulundurularak geliştirilmiştir. Tasarım sürecinde XFLR5 ve OpenVSP gibi analiz araçları modelleme içinse Solidworks kullanılarak aerodinamik parametreler doğrulanmış, tasarımın uçuş stabilitesi ve performans gerekliliklerini karşıladığı onaylanmıştır. Bu İHA, hem savunma hem de ticari uygulamalar için maliyet etkin, yüksek performanslı ve güvenilir bir çözüm sunmaktadır. Ayrıca modüler yapısı sayesinde farklı görev senaryolarına kolayca uyum sağlayabilmektedir. Önerilen tasarım, günümüzün karmaşık operasyonel ihtiyaçlarını karşılamak ve İHA teknolojilerinde yenilikçi çözümler geliştirmek için önemli bir katkı sunmaktadır. Sonuç olarak, bu çalışma, VTOL hava araçlarının kullanım potansiyelini artırmaya yönelik yeni yaklaşımlar sunmakta ve çeşitli operasyonel senaryolar için çözümler önermektedir.","url":"https://doi.org/10.56753/asrel.2024.2.3","authors":["Berat Taha ÇETİN","Cansu AYGÜN","Onur TOPRAK","Sueda ÇELİK"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-12-31T13:02:23Z","doi":"10.56753/asrel.2024.2.3","addedAt":"2026-08-31T06:39:57.336Z","updatedAt":"2026-08-31T06:39:57.336Z"},{"id":"doi:10.1109/icsc63929.2024.10928827","name":"Target Tracking with an Unmanned Aerial Vehicle Using Visual Servoing","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icsc63929.2024.10928827","authors":["Idrissa Alhousseini Djafara","Mossi Idrissa Moctar","Daouda Abdourahimoun"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-03-24T17:56:43Z","doi":"10.1109/icsc63929.2024.10928827","addedAt":"2026-08-31T06:39:57.336Z","updatedAt":"2026-08-31T06:39:57.336Z"},{"id":"doi:10.14489/hb.2024.01.pp.016-025","name":"DESIGN AND STRUCTURAL ANALYSIS OF THE CHARACTERISTICS OF A FIRE UNMANNED AERIAL VEHICLE","source":"crossref","abstract":"Wildfires are generally Class A fires that are very difficult to control due to difficult terrain and uncontrolled fire behavior. The purpose of this article is to propose the idea of using unmanned aerial vehicles such as a quadcopter to extinguish a forest fire. It is necessary to develop an unmanned aerial vehicle that can operate functionally at such elevated temperatures. These unmanned aerial vehicles, using a payload drop mechanism, can carry and drop fire extinguishing balls over the fire to extinguish it. Structural analysis is carried out to check the dynamic characteristics of these vehicles. Thermal insulation provided for sufficient thermal protection of electronics and circuits.","url":"https://doi.org/10.14489/hb.2024.01.pp.016-025","authors":["T. A. Yakovenko","A. V. Burtsev"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-09-24T12:51:21Z","doi":"10.14489/hb.2024.01.pp.016-025","addedAt":"2026-08-31T06:39:57.336Z","updatedAt":"2026-08-31T06:39:57.336Z"},{"id":"doi:10.1109/scm62608.2024.10554176","name":"Modeling and Study of an Octocopter-type Unmanned Aerial Vehicle Motion","source":"crossref","abstract":"","url":"https://doi.org/10.1109/scm62608.2024.10554176","authors":["Ekaterina V. Ilatovskaya","Daniil P. Mikhailov"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-06-17T17:57:36Z","doi":"10.1109/scm62608.2024.10554176","addedAt":"2026-08-31T06:39:57.336Z","updatedAt":"2026-08-31T06:39:57.336Z"},{"id":"doi:10.21660/2024.124.4607","name":"ACCURACY ASSESSMENT OF THAILAND’S NETWORK REAL TIME KINEMATIC (NRTK) FOR UNMANNED AERIAL VEHICLE (UAV) PHOTOGRAMMETRY","source":"crossref","abstract":"","url":"https://doi.org/10.21660/2024.124.4607","authors":["Torlap Kanplumjit"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-12-27T09:17:02Z","doi":"10.21660/2024.124.4607","addedAt":"2026-08-31T06:39:57.336Z","updatedAt":"2026-08-31T06:39:57.336Z"},{"id":"doi:10.1109/radar58436.2024.10993902","name":"Comparative Analysis of Artificial Intelligence Methods for Unmanned Aerial Vehicle (UAV) Recognition and Identification Using Micro-Doppler Signatures","source":"crossref","abstract":"","url":"https://doi.org/10.1109/radar58436.2024.10993902","authors":["Ala Agrebi","Xavier Neyt"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-05-14T13:30:46Z","doi":"10.1109/radar58436.2024.10993902","addedAt":"2026-08-31T06:39:57.336Z","updatedAt":"2026-08-31T06:39:57.336Z"},{"id":"doi:10.1016/j.autcon.2024.105323","name":"Unmanned aerial vehicle-based as-built surveys of buildings","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.autcon.2024.105323","authors":["Tianzhi He","Kaiwen Chen","Farrokh Jazizadeh","Georg Reichard"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-02-27T00:10:38Z","doi":"10.1016/j.autcon.2024.105323","addedAt":"2026-08-31T06:39:57.336Z","updatedAt":"2026-08-31T06:39:57.336Z"},{"id":"doi:10.31854/2307-1303-2024-12-4-38-50","name":"Choosing a Method for Implementing a Local Navigation System for an Unmanned Aerial Vehicle","source":"crossref","abstract":"Discussion. Local navigation systems are diverse and have characteristic features that need to be grouped and classified. Classification is necessary to determine the steps of developing a method and implementing a system in the form of equipment. Purpose: formation of criteria for the local navigation system of unmanned aerial vehicles, taking into account the analysis of existing systems. Methods: structuring and describing well-known local navigation systems according to a single template, identifying common features, grouping them into groups based on similarity of features, testing the result using the example of using classification as a basis for advancing system requirements. Results. A system of criteria for a local navigation system for use in unmanned aerial vehicles. The angular-difference-rangefinder method with a set of parameters was chosen as the most suitable for the requirements of a local navigation system for unmanned aerial vehicles. Novelty: classification system for local navigation systems by selected groups of features is proposed, and a system of requirements for local navigation systems is proposed, taking into account the technical features of unmanned vehicles. Practical relevance: the study provided scientifically based requirements for a local navigation system, which further minimize the time needed to develop this system.","url":"https://doi.org/10.31854/2307-1303-2024-12-4-38-50","authors":["Sergei Shalunov","Alexander Kurochkin","Ekaterina Izmestyeva"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-06-23T09:38:15Z","doi":"10.31854/2307-1303-2024-12-4-38-50","addedAt":"2026-08-31T06:39:57.336Z","updatedAt":"2026-08-31T06:39:57.336Z"},{"id":"doi:10.1051/e3sconf/202455302022","name":"Application of Unmanned Aerial Vehicle Remote Sensing for Agricultural Monitoring","source":"crossref","abstract":"Precision agriculture and Smart farming have become the essential backbone for sustainable agricultural production by leveraging cutting-edge remote sensing and communication technologies. With the remarkable development in recent decades, Unmanned Aerial Vehicles (UAV) based sensing technologies have gained rapid proliferation and exploitation in precision agriculture. The unprecedented availability of high resolution (spatial, spectral and temporal) satellite images has promoted the use of remote sensing in many PA applications, including crop monitoring, irrigation management, nutrient application, disease and pest management, and yield prediction. Using thermal infrared or hyperspectral cameras, UAV remote sensing takes extensive pictures of farmland. It also collects the reflection bands of various crops, monitors and analyzes crop growth trends, locates disease and insect pests, and determines the moisture content of the soil based on variations in the bands. This paper will discuss the basic principles of UAV remote sensing technology for monitoring crop growth, disease, and insect pests, the application of soil vegetation index monitoring, and the development prospects of UAV remote sensing in agricultural monitoring.","url":"https://doi.org/10.1051/e3sconf/202455302022","authors":["Yuyao Han"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-07-24T08:10:21Z","doi":"10.1051/e3sconf/202455302022","addedAt":"2026-08-31T06:39:57.336Z","updatedAt":"2026-08-31T06:39:57.336Z"},{"id":"doi:10.1109/cipae64326.2024.00069","name":"Unmanned Aerial Vehicle Collision Avoidance Trajectory Planning Based on Steering Geometry Model","source":"crossref","abstract":"","url":"https://doi.org/10.1109/cipae64326.2024.00069","authors":["Jingru Sun","Zengyang Guo"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-12-18T19:24:36Z","doi":"10.1109/cipae64326.2024.00069","addedAt":"2026-08-31T06:39:57.336Z","updatedAt":"2026-08-31T06:39:57.336Z"},{"id":"doi:10.1016/j.vehcom.2024.100726","name":"Unmanned aerial vehicle intrusion detection: Deep-meta-heuristic system","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.vehcom.2024.100726","authors":["Shangting Miao","Quan Pan","Dongxiao Zheng","Ghulam Mohi-ud-din"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-01-23T13:07:15Z","doi":"10.1016/j.vehcom.2024.100726","addedAt":"2026-08-31T06:39:57.336Z","updatedAt":"2026-08-31T06:39:57.336Z"},{"id":"doi:10.1109/icaace61206.2024.10548447","name":"Physical Layer Security Performance Optimization of Unmanned Aerial Vehicle-Assisted Wireless Network","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icaace61206.2024.10548447","authors":["Zichen Yang","Woping Xu"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-06-18T17:28:53Z","doi":"10.1109/icaace61206.2024.10548447","addedAt":"2026-08-31T06:39:57.336Z","updatedAt":"2026-08-31T06:39:57.336Z"},{"id":"doi:10.30518/jav.1356997","name":"Deep Learning Based Object Detection with Unmanned Aerial Vehicle Equipped with Embedded System","source":"crossref","abstract":"This study aims to introduce an Unmanned Aerial Vehicle (UAV) platform capable of performing real-time object detection and classification tasks using computer vision techniques in the field of artificial intelligence. Previous scientific research reveals the utilization of two different methods for object detection and classification via UAVs. One of these methods involves transmitting the acquired UAV images to a ground control center for processing, whereafter the processed data is relayed back to the UAV. The other approach entails transferring images over the internet to a cloud system, where image processing is conducted, and the resultant data is subsequently sent back to the UAV. This allows the UAV to autonomously perform predefined tasks. Enabling the UAV with autonomous decision-making capabilities and the ability to perform object detection and classification from recorded images requires an embedded artificial intelligence module. The ability of the UAV to utilize image processing technologies through embedded systems significantly enhances its object detection and classification capabilities, providing it with a significant advantage. This enables the UAV to be used more effectively and reliably in various tasks. In the proposed approach, image processing was achieved by mounting a Raspberry Pi 4 and camera on the UAV. Additionally, a Raspberry Pi-compatible 4G/LTE modem kit was used to provide remote intervention capability, and the Coral Edge TPU auxiliary processor was used to increase object detection speed. The TensorFlow Library and the SSD MobilNetV2 convolutional neural network model were used for image processing. During test flights, accuracy values of approximately 96.3% for car detection and 96.2% for human detection were achieved.","url":"https://doi.org/10.30518/jav.1356997","authors":["Ertugrul KIRAC","Sunullah ÖZBEK"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-02-20T10:05:32Z","doi":"10.30518/jav.1356997","addedAt":"2026-08-31T06:39:57.336Z","updatedAt":"2026-08-31T06:39:57.336Z"},{"id":"doi:10.1109/iccepe62686.2024.10931502","name":"Research on Autonomous Flight Control Technology for Unmanned Aerial Vehicle in Power Engineering","source":"crossref","abstract":"","url":"https://doi.org/10.1109/iccepe62686.2024.10931502","authors":["Chongchun Yu"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-03-28T02:28:40Z","doi":"10.1109/iccepe62686.2024.10931502","addedAt":"2026-08-31T06:39:57.336Z","updatedAt":"2026-08-31T06:39:57.336Z"},{"id":"doi:10.26740/jte.v13n2.p152-159","name":"Deteksi Landing Pad pada Unmanned Aerial Vehicle (UAV) Menggunakan YOLO","source":"crossref","abstract":"Teknologi robot terbang di Indonesia telah mengalami kemajuan yang signifikan, terbukti dengan penyelenggaraan Kontes Robot Terbang Indonesia (KRTI) setiap tahun. Salah satu kategori yang dilombakan adalah VTOL (Vertical Take-off and Landing) dengan salah satu misinya pendaratan secara otonom yang mengharuskan multicopter mampu mendeteksi lokasi landing dengan tepat. Oleh karena itu, diperlukan pengembangan sistem computer vision untuk mendeteksi objek landing pad dengan keakuratan yang tinggi, sehingga multicopter mampu melakukan misi selanjutnya dengan baik. Penelitian ini menggunakan sebuah UAV Multicopter yang dilengkapi dengan webcam Logitech C920 sebagai platform computer vision. Metode deteksi yang diterapkan adalah YOLO Darknet, sebuah pendekatan yang menggunakan deep learning. Model YOLO yang digunakan adalah YOLOv3 Tiny, dan proses pelatihan melibatkan framework Darknet. Selama tahap pelatihan, didapatkan nilai average loss sebesar 0,0609 dan mean Average Precision (mAP) sebesar 99,4%. Selama pengujian jaringan, sistem berhasil mendeteksi objek dengan label \"landing pad\" dan menampilkan bounding box serta nilai confidence pada frame gambar yang dihasilkan. Pada pengujian menggunakan validation set menggunakan 200 gambar sebagai test set didapatkan nilai peforma jaringan dengan rata-rata nilai accuracy sebesar 0.95, precision 0.98, recall 0.96, dan F1-score sebesar 0.96. Kata Kunci: UAV, multicopter, computer vision, deteksi objek, YOLO, darknet","url":"https://doi.org/10.26740/jte.v13n2.p152-159","authors":["Ifa Nirmala Laili","Parama Diptya Widayaka"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-04-22T01:17:30Z","doi":"10.26740/jte.v13n2.p152-159","addedAt":"2026-08-31T06:39:57.336Z","updatedAt":"2026-08-31T06:39:57.336Z"},{"id":"doi:10.29354/diag/194598","name":"Unmanned aerial vehicle transmission defect detection technology based on edge computing","source":"crossref","abstract":"","url":"https://doi.org/10.29354/diag/194598","authors":["Xi Chen","Xumeng Cheng","Nengcheng Wu","Xuanyou Liu"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-10-27T16:03:42Z","doi":"10.29354/diag/194598","addedAt":"2026-08-31T06:39:57.336Z","updatedAt":"2026-08-31T06:39:57.336Z"},{"id":"doi:10.1080/08123985.2024.2331710","name":"Suppression of surficial maghaemite magnetic noise using an Unmanned Aerial Vehicle deployed magnetometer","source":"crossref","abstract":"","url":"https://doi.org/10.1080/08123985.2024.2331710","authors":["Nicholas G. Direen","Adam Kroll"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-07-18T12:29:31Z","doi":"10.1080/08123985.2024.2331710","addedAt":"2026-08-31T06:39:57.336Z","updatedAt":"2026-08-31T06:39:57.336Z"},{"id":"doi:10.1109/icpc2t60072.2024.10474765","name":"High-Speed Permanent Magnet Synchronous Motor Design for Mini Unmanned Aerial Vehicle","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icpc2t60072.2024.10474765","authors":["Hayatullah Nory","Ahmet Yildiz"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-03-25T19:07:04Z","doi":"10.1109/icpc2t60072.2024.10474765","addedAt":"2026-08-31T06:39:57.336Z","updatedAt":"2026-08-31T06:39:57.336Z"},{"id":"doi:10.62381/acs.sdit2024.44","name":"Design and Analysis of a Rotorcraft Unmanned Aerial Vehicle System with Active Adaptive Landing Function","source":"crossref","abstract":"In recent years, with the booming development of the drone market, multi-rotor drones have quickly attracted the attention of consumers with their excellent control performance and convenient vertical take-off and landing characteristics. However, the current rotor drone landing gear has relatively stringent requirements on the terrain. Under special terrain conditions, due to the unevenness of the ground, drones often have problems such as rollover, which may lead to serious economic losses. Based on the design of traditional drone landing gear, this project has designed and adjusted the height adjustment and telescopic mechanism of the landing gear to meet the needs of terrain adaptation. Through in-depth analysis of key parameters, the engineering feasibility of these design improvements and the improvement effects brought about in terrain adaptation have been verified. This innovative design adjustment is expected to effectively solve the problem of safe landing of drones in complex terrain, providing strong support for them to play a greater role in a wider range of application scenarios.","url":"https://doi.org/10.62381/acs.sdit2024.44","authors":["Zhengpeng Wu"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-01-21T05:54:16Z","doi":"10.62381/acs.sdit2024.44","addedAt":"2026-08-31T06:39:57.336Z","updatedAt":"2026-08-31T06:39:57.336Z"},{"id":"doi:10.25105/jamin.v6i1.18557","name":"PENYULUHAN PENGGUNAAN PETA DESA MENGGUNAKAN UNMANNED AERIAL VEHICLE (UAV) DI KECAMATAN CIMENYAN, KABUPATEN BANDUNG","source":"crossref","abstract":"Creating a village map is essential for regional development planning. However, it can be costly and time-consuming. The purpose of community service is to map the area around Mandalamekar Village, Cimenyan District, Bandung Regency, as one of the supporting documents for village planning based on disaster mitigation. The scope of this community service activity includes field data acquisition, such as creating flight paths and aerial photography using UAV vehicles, as well as data processing, including ortho mosaic, digitizing maps, and spatial analysis. The community service activity will produce an Aerial Photo Image Map and Land Use Map of Mandalamekar Village, both of which will be created at a scale of 1:5000. The output from the Community Service activity can be utilized for village development planning based on disaster mitigation. Furthermore, training on drone operation and processing has been conducted with the expectation that employees of Mandala Mekar Village can utilize drone technology. The feedback from the survey suggests that the Community Service activity is aligned with the users' requirements and has the potential to offer solutions for Mandala Mekar Village.","url":"https://doi.org/10.25105/jamin.v6i1.18557","authors":["Denny Lumban Raja","Fidela Rikmayanthi Kirana","Nadya Finlandini","Muhammad Rahman","Christopher Avrio Simatupang","Reinaldy Aditya"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-04-25T14:11:41Z","doi":"10.25105/jamin.v6i1.18557","addedAt":"2026-08-31T06:39:57.336Z","updatedAt":"2026-08-31T06:39:57.336Z"},{"id":"doi:10.61137/ijsret.vol.10.issue5.252","name":"Designing of Nozzle for Unmanned Water Powered Aerial Vehicle","source":"crossref","abstract":"","url":"https://doi.org/10.61137/ijsret.vol.10.issue5.252","authors":["Raj Sharma"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-10-04T05:22:23Z","doi":"10.61137/ijsret.vol.10.issue5.252","addedAt":"2026-08-31T06:39:57.336Z","updatedAt":"2026-08-31T06:39:57.336Z"},{"id":"doi:10.1109/aips64124.2024.00043","name":"Unmanned Aerial Vehicle Trajectory Optimization Algorithm Based on Safe Flight Corridors","source":"crossref","abstract":"","url":"https://doi.org/10.1109/aips64124.2024.00043","authors":["Ying Huang","Zhou Wang","Juncheng Lv"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-10-17T17:27:50Z","doi":"10.1109/aips64124.2024.00043","addedAt":"2026-08-31T06:39:57.336Z","updatedAt":"2026-08-31T06:39:57.336Z"},{"id":"doi:10.1109/icit58233.2024.10540747","name":"System Development and Integration of Unmanned Aerial Vehicle Navigation Techniques for Indoor Environments","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icit58233.2024.10540747","authors":["Kai-Lun Chang","Huei-Yung Lin"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-06-05T17:38:41Z","doi":"10.1109/icit58233.2024.10540747","addedAt":"2026-08-31T06:39:57.336Z","updatedAt":"2026-08-31T06:39:57.336Z"},{"id":"doi:10.3850/iahr-hic2483430201-371","name":"Application and Promotion of Unmanned Aerial Vehicle Intelligent Inspection System in Panjiakou Reservoir","source":"crossref","abstract":"","url":"https://doi.org/10.3850/iahr-hic2483430201-371","authors":["Hou Haohua","Liu Bingchao","Xie Min"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-06-18T12:00:55Z","doi":"10.3850/iahr-hic2483430201-371","addedAt":"2026-08-31T06:39:57.336Z","updatedAt":"2026-08-31T06:39:57.336Z"},{"id":"doi:10.1117/12.3052647","name":"Deep-learning-based icing identification method for unmanned aerial vehicle","source":"crossref","abstract":"","url":"https://doi.org/10.1117/12.3052647","authors":["Deshang Li"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-01-16T16:55:40Z","doi":"10.1117/12.3052647","addedAt":"2026-08-31T06:39:57.336Z","updatedAt":"2026-08-31T06:40:02.531Z"},{"id":"doi:10.1142/s2301385025500797","name":"Seamless Connectivity with Fuzzy-Based Unmanned Aerial Vehicle for VANET in Congested Zone","source":"crossref","abstract":"Providing seamless connectivity during transit in vehicular ad hoc networks (VANETs) is the most promising and challenging task. In VANET, the vehicles are able to communicate with other vehicles and also with the infrastructure units such as road side unit (RSU). The coverage range of RSU is not sufficient to cover the whole road. The vehicle can drive to an area which is not covered by any of the RSUs, and it is termed as congested zone (CZ). This will extremely lead to traffic congestion and maximize blocking probability. In order to provide connectivity between the road segments and to avoid long delay in message transmission, unmanned aerial vehicles (UAVs) are placed in CZs, which act as relay nodes. To enhance the connectivity of the vehicles, a fuzzy-based UAV-assisted handoff scheme (F-UAV-HO) is proposed in this work. By adopting fuzzy, the unwanted participation of UAV is limited in non-congested traffic, thereby saving the battery resource. To validate the proposed work, the simulations are executed in Network Simulator 2.35. The proposed system outperforms other conventional UAV-assisted schemes in congested traffic in terms of average end-to-end delay, PDR and throughput.","url":"https://doi.org/10.1142/s2301385025500797","authors":["C. Suganthi Evangeline","Ashmiya Lenin","Vinoth Babu Kumaravelu"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-09-27T14:51:38Z","doi":"10.1142/s2301385025500797","addedAt":"2026-08-31T06:39:57.336Z","updatedAt":"2026-08-31T06:40:02.531Z"},{"id":"doi:10.1109/iciibms62405.2024.10792734","name":"Improving the unmanned aerial vehicle (UAV) image object detection algorithm based on YOLOv8s","source":"crossref","abstract":"","url":"https://doi.org/10.1109/iciibms62405.2024.10792734","authors":["Yuxuan Du","Wanjun Yu"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-12-17T19:09:35Z","doi":"10.1109/iciibms62405.2024.10792734","addedAt":"2026-08-31T06:39:57.336Z","updatedAt":"2026-08-31T06:39:57.336Z"},{"id":"doi:10.5755/e01.2351-7034.2024.p377-382","name":"Potential Application of Unmanned Aerial Vehicle for Foreign Object Detection in an Airport Movement Area","source":"crossref","abstract":"","url":"https://doi.org/10.5755/e01.2351-7034.2024.p377-382","authors":["Ludek Cicmanec","Martina Knapkova","Jan Vomela"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-01-07T12:20:42Z","doi":"10.5755/e01.2351-7034.2024.p377-382","addedAt":"2026-08-31T06:39:57.336Z","updatedAt":"2026-08-31T06:39:57.336Z"},{"id":"doi:10.1145/3647722.3647746","name":"Unmanned Aerial Vehicle (UAV) Predictive Control Energy Management Model","source":"crossref","abstract":"","url":"https://doi.org/10.1145/3647722.3647746","authors":["Nina Hendrarini","Muhammad Ikhsan Sani"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-04-17T22:19:57Z","doi":"10.1145/3647722.3647746","addedAt":"2026-08-31T06:39:57.336Z","updatedAt":"2026-08-31T06:39:57.336Z"},{"id":"doi:10.1109/akgec62572.2024.10868422","name":"Multi-Role Unmanned Aerial Vehicle","source":"crossref","abstract":"","url":"https://doi.org/10.1109/akgec62572.2024.10868422","authors":["Siddharth Kumar Singh","Dinanath Prasad","Vikram Singh Rajput"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-02-11T18:20:02Z","doi":"10.1109/akgec62572.2024.10868422","addedAt":"2026-08-31T06:39:57.336Z","updatedAt":"2026-08-31T06:39:57.336Z"},{"id":"doi:10.54254/2755-2721/47/20241325","name":"A comparison of deep learning-based object detection for unmanned aerial vehicle","source":"crossref","abstract":"Unmanned aerial vehicle (UAV) plays a critical role in the field of object detection, and machine learning techniques have significantly advanced the field in recent years. This paper provides a comprehensive overview of machine learning developments for UAV object detection. The process involves multiple steps. Firstly, deep learning and Convolutional Neural Network (CNN) are widely utilized to extract precise features and train object detection models for accurate classification and efficient recognition of target objects in images and videos. Secondly, classical object detection algorithms such as Faster R-CNN, You Only Look Once (YOLO), and Single Shot MultiBox Detector (SSD), have been enhanced to improve accuracy and real-time performance. In this review, we primarily focus on comparing the principles of CNN and YOLOv5 themselves, as well as their applications in object detection and image recognition. Ultimately, it becomes apparent that CNN is better suited for processing image data, automatically extracting features, and achieving more accurate classification and detection. On the other hand, YOLOv5 directly performs detection on large images, significantly reducing computation time compared to CNN.","url":"https://doi.org/10.54254/2755-2721/47/20241325","authors":["Tinghuan Li"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-03-15T06:02:20Z","doi":"10.54254/2755-2721/47/20241325","addedAt":"2026-08-31T06:39:57.336Z","updatedAt":"2026-08-31T06:39:57.336Z"},{"id":"doi:10.23977/aetp.2024.080622","name":"Application of Technical Standards and Cascade Control Theory in Undergraduate Program for Unmanned Aerial Vehicle System Engineering Major","source":"crossref","abstract":"","url":"https://doi.org/10.23977/aetp.2024.080622","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-11-17T04:37:58Z","doi":"10.23977/aetp.2024.080622","addedAt":"2026-08-31T06:39:57.336Z","updatedAt":"2026-08-31T06:39:57.336Z"},{"id":"doi:10.3390/electronics13163208","name":"Optimizing Unmanned Aerial Vehicle Electronics: Advanced Charging Systems and Data Transmission Solutions","source":"crossref","abstract":"Interest in Unmanned Aerial Vehicles (UAVs) has been increasingly growing in recent years, especially for purposes other than those for which they were initially used (civil and military purposes). Currently, in fact, they are used for advanced monitoring and control purposes, for 3D reconstructions of the territory and cultural heritage, and for freight transport. The problem in using these systems consists of the limited flight autonomy. In fact, commercially used drones, today, are sold with a set of batteries of limited duration which do not allow flights over large areas and, therefore, detailed surveys. The present work seeks to overcome these limitations by proposing an intelligent automatic charging system (Intelligent Charging Network) created using PC Engines Alix and an experimental drone prototype using a Raspberry Pi 3 and a Navio 2 module. At the same time, an efficient Intelligent Charging Network–drone communication system and a data transmission system are proposed, which allow images acquired by the drone to be transferred directly to the server used for data storage for their subsequent processing as well as the transmission of the flight plan from the QGroundControl application to the drone. The proposed system represents technological innovation in the field of drones with potential future developments linked to the implementation of sustainable drones.","url":"https://doi.org/10.3390/electronics13163208","authors":["Vincenzo Barrile","Fabio La Foresta","Emanuela Genovese"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-08-13T10:54:54Z","doi":"10.3390/electronics13163208","addedAt":"2026-08-31T06:39:57.336Z","updatedAt":"2026-08-31T06:39:57.336Z"},{"id":"doi:10.2514/6.2024-0948","name":"Deep Neural Pose Estimation for a Flapping Wing Unmanned Aerial Vehicle with Visual-Inertial Sensor Fusion","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2024-0948","authors":["Tejaswi K C","Taeyoung Lee","Chang-Kwon Kang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-01-29T21:43:20Z","doi":"10.2514/6.2024-0948","addedAt":"2026-08-31T06:39:57.336Z","updatedAt":"2026-08-31T06:39:57.336Z"},{"id":"doi:10.5281/zenodo.16875124","name":"Results from field tests for a Ducted Contra-Rotating VTOL UAV","source":"datacite","abstract":"This dataset comprises field test results for a Ducted Contra-Rotating Vertical Take-Off and Landing (VTOL) Unmanned Aerial Vehicle (UAV), organised by flight mode: Stabilise and AltHold. Tests conducted on 13-09-2024 were performed in Stabilise mode, while those on 14-09-2024 were conducted in AltHold mode. Each folder contains video recordings capturing the flight tests and corresponding log files detailing performance metrics and operational data. This repository provides valuable insights into the UAV’s behavior and performance under different flight control configurations, suitable for researchers and engineers studying VTOL UAV dynamics.","url":"https://doi.org/10.5281/zenodo.16875124","authors":["Langa, Nkosingiphile"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.16875124","addedAt":"2026-08-31T06:39:57.337Z","updatedAt":"2026-08-31T06:39:57.337Z"},{"id":"doi:10.48550/arxiv.2409.08511","name":"Vision-driven UAV River Following: Benchmarking with Safe Reinforcement Learning","source":"datacite","abstract":"In this study, we conduct a comprehensive benchmark of the Safe Reinforcement Learning (Safe RL) algorithms for the task of vision-driven river following of Unmanned Aerial Vehicle (UAV) in a Unity-based photo-realistic simulation environment. We empirically validate the effectiveness of semantic-augmented image encoding method, assessing its superiority based on Relative Entropy and the quality of water pixel reconstruction. The determination of the encoding dimension, guided by reconstruction loss, contributes to a more compact state representation, facilitating the training of Safe RL policies. Across all benchmarked Safe RL algorithms, we find that First Order Constrained Optimization in Policy Space achieves the optimal balance between reward acquisition and safety compliance. Notably, our results reveal that on-policy algorithms consistently outperform both off-policy and model-based counterparts in both training and testing environments. Importantly, the benchmarking outcomes and the vision encoding methodology extend beyond UAVs, and are applicable to Autonomous Surface Vehicles (ASVs) engaged in autonomous navigation in confined waters.","url":"https://doi.org/10.48550/arxiv.2409.08511","authors":["Wang, Zihan","Mahmoudian, Nina"],"tags":["Robotics (cs.RO)","FOS: Computer and information sciences","FOS: Computer and information sciences"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.48550/arxiv.2409.08511","addedAt":"2026-08-31T06:39:57.337Z","updatedAt":"2026-08-31T06:39:57.337Z"},{"id":"doi:10.6084/m9.figshare.27960762.v1","name":"Records of shallow landslides triggered by extreme rainfall in July 2024 in Zixing, China","source":"datacite","abstract":"Global climate change has led to the frequent extreme meteorological events in recent years, triggering severe clustered landslides in mountainous regions. Records of these clustered landslides not only provide post-disaster statistics but also play a crucial role in advancing data-driven regional landslide research and intelligent landslide detection. The Rainfall-induced Landslide in Zixing (RLZX) datasets consist of a landslide inventory map (LIM) and a landslide detection dataset (LDD). RLZX-LIM was created through visual interpretation of 3D scenes before and after the rainfall event, containing 19,403 shallow landslides triggered by extreme rainfall in Zixing City, China, between July 26 and July 28, 2024. We have provided quantitative evaluations of the quality of RLZX-LIM based on reference data obtained from road-aligned surveys and unmanned aerial vehicle (UAV) mapping in the field. RLZX-LDD is further developed using both UAV and satellite images, offering higher quality and robustness, effectively filling the gap in rainfall-induced LDDs. The RLZX datasets have been publicly released for free use to promote related landslide research.","url":"https://doi.org/10.6084/m9.figshare.27960762.v1","authors":["Fu, Zijin","Wang, Fawu","Ma, Hao","You, Qi","Feng, Youqian"],"tags":["Natural Hazards"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.6084/m9.figshare.27960762.v1","addedAt":"2026-08-31T06:39:57.337Z","updatedAt":"2026-08-31T06:39:57.337Z"},{"id":"doi:10.6084/m9.figshare.27960762","name":"Records of shallow landslides triggered by extreme rainfall in July 2024 in Zixing, China","source":"datacite","abstract":"Global climate change has led to the frequent extreme meteorological events in recent years, triggering severe clustered landslides in mountainous regions. Records of these clustered landslides not only provide post-disaster statistics but also play a crucial role in advancing data-driven regional landslide research and intelligent landslide detection. The Rainfall-induced Landslide in Zixing (RLZX) datasets consist of a landslide inventory map (LIM) and a landslide detection dataset (LDD). RLZX-LIM was created through visual interpretation of 3D scenes before and after the rainfall event, containing 19,403 shallow landslides triggered by extreme rainfall in Zixing City, China, between July 26 and July 28, 2024. We have provided quantitative evaluations of the quality of RLZX-LIM based on reference data obtained from road-aligned surveys and unmanned aerial vehicle (UAV) mapping in the field. RLZX-LDD is further developed using both UAV and satellite images, offering higher quality and robustness, effectively filling the gap in rainfall-induced LDDs. The RLZX datasets have been publicly released for free use to promote related landslide research.","url":"https://doi.org/10.6084/m9.figshare.27960762","authors":["Fu, Zijin","Wang, Fawu","Ma, Hao","You, Qi","Feng, Youqian"],"tags":["Natural Hazards"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.6084/m9.figshare.27960762","addedAt":"2026-08-31T06:39:57.337Z","updatedAt":"2026-08-31T06:39:57.337Z"},{"id":"doi:10.48550/arxiv.2507.08352","name":"Secrecy Offloading Analysis of UAV-assisted NOMA-MEC Incorporating WPT in IoT Networks","source":"datacite","abstract":"This article studies the efficiency of secrecy data offloading for an unmanned aerial vehicle (UAV)-assisted nonorthogonal multiple access (NOMA)-integrated mobile-edge computing (MEC) incorporating wireless power transfer (WPT) within an Internet of Things (IoT) network. Specifically, this study assumes an UAV to function in dual roles: as a mobile computation platform and as an aerial power-supply station, offering substantial advantages for resource-constrained edge devices (EDs) in mitigating interference from an passive eavesdropper. To assess the system's secrecy offloading efficacy, the secrecy successful computation probability (SSCP) closed-formed formulation under Nakagami-m fading channel is derived. The theoretical results are conducted with a variety of parameters, thereby validating the precision of our analysis.","url":"https://doi.org/10.48550/arxiv.2507.08352","authors":["Nguyen, Gia-Huy","Nguyen, Anh-Nhat","Nguyen, Minh-Sang","Nguyen, Khai","Ngo, Tung-Son","Bui, Ngoc-Anh","Le, Phuong-Chi","Hoang, Manh-Duc"],"tags":["Information Theory (cs.IT)","FOS: Computer and information sciences","FOS: Computer and information sciences"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.48550/arxiv.2507.08352","addedAt":"2026-08-31T06:39:57.337Z","updatedAt":"2026-08-31T06:39:57.337Z"},{"id":"doi:10.5281/zenodo.15831275","name":"Aerial images collected by an Unmanned Aerial Vehicle in St-Leu-Port, Réunion - 2024-04-07","source":"datacite","abstract":"This dataset was collected by an Unmanned Aerial Vehicle in St-Leu-Port, Réunion - 2024-04-07. Underwater or aerial images collected by scientists or citizens can have a wide variety of use for science, management, or conservation. These images can be annotated and shared to train IA models which can in turn predict the objects on the images. We provide a set of tools (hardware and software) to collect marine data, predict species or habitat, and provide maps. This dataset is part of larger collection referencing numerous underwater and aerial images Seatizen Altas. Methods, tools and scientific objectives are also described in a dedicated data paper. Survey information Camera: Hasselblad L1D-20c Number of images: 284 Total size: 2.55 Gb Flight start: 2024:04:07 04:45:07 Flight end: 2024:04:07 04:56:11 Flight duration: 0h 11min 4sec Median height: 59.9 m Area covered: 3.67 a Photogrammetry OpenDroneMap software was used to create an orthophoto from the raw images. Here is the list of parameters different from the default values for the orthophoto generation. For more details, you can read the log.json file or the 000_photogrammatry_report.pdf report. {'auto_boundary': True, 'cog': True, 'fast_orthophoto': True, 'feature_quality': 'ultra', 'max_concurrency': 128, 'optimize_disk_space': True, 'orthophoto_resolution': 1.0, 'rolling_shutter': True, 'skip_3dmodel': True, 'use_exif': True} Generic folder structure YYYYMMDD_COUNTRYCODE-optionalplace_device_session-number ├── DCIM : folder to store videos and photos depending on the media collected. ├── GPS : folder to store any positioning related file. If any kind of correction is possible on files (e.g. Post-Processed Kinematic thanks to rinex data) then the distinction between device data and base data is made. If, on the other hand, only device position data are present and the files cannot be corrected by post-processing techniques (e.g. gpx files), then the distinction between base and device is not made and the files are placed directly at the root of the GPS folder. │ ├── BASE : files coming from rtk station or any static positioning instrument. │ └── DEVICE : files coming from the device. ├── METADATA : folder with general information files about the session. ├── PROCESSED_DATA : contain all the folders needed to store the results of the data processing of the current session. │ ├── BATHY : output folder for bathymetry raw data extracted from mission logs. │ ├── FRAMES : output folder for georeferenced frames extracted from DCIM videos. │ ├── IA : destination folder for image recognition predictions. │ └── PHOTOGRAMMETRY : destination folder for reconstructed models in photogrammetry. └── SENSORS : folder to store files coming from other sources (bathymetry data from the echosounder, log file from the autopilot, mission plan etc.). Software All the raw data was processed using our worflow. All predictions were generated by our inference pipeline. You can find all the necessary scripts to download this data in this repository. Enjoy your data with SeatizenDOI!","url":"https://doi.org/10.5281/zenodo.15831275","authors":["Matteo Contini","Sylvain Bonhommeau","Serge Bernard","Julien Barde"],"tags":["Artificial Intelligence","Citizen Sciences","Computer Vision","Coral Reef","Coral Reef Habitat","Deep Learning","Drone","Ecology"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.15831275","addedAt":"2026-08-31T06:39:57.337Z","updatedAt":"2026-08-31T06:39:57.337Z"},{"id":"doi:10.5281/zenodo.15831267","name":"Aerial images collected by an Unmanned Aerial Vehicle in St-Leu-Port, Réunion - 2024-04-07","source":"datacite","abstract":"This dataset was collected by an Unmanned Aerial Vehicle in St-Leu-Port, Réunion - 2024-04-07. Underwater or aerial images collected by scientists or citizens can have a wide variety of use for science, management, or conservation. These images can be annotated and shared to train IA models which can in turn predict the objects on the images. We provide a set of tools (hardware and software) to collect marine data, predict species or habitat, and provide maps. This dataset is part of larger collection referencing numerous underwater and aerial images Seatizen Altas. Methods, tools and scientific objectives are also described in a dedicated data paper. Survey information Camera: Hasselblad L1D-20c Number of images: 284 Total size: 2.55 Gb Flight start: 2024:04:07 04:45:07 Flight end: 2024:04:07 04:56:11 Flight duration: 0h 11min 4sec Median height: 59.9 m Area covered: 3.67 a Photogrammetry OpenDroneMap software was used to create an orthophoto from the raw images. Here is the list of parameters different from the default values for the orthophoto generation. For more details, you can read the log.json file or the 000_photogrammatry_report.pdf report. {'auto_boundary': True, 'cog': True, 'fast_orthophoto': True, 'feature_quality': 'ultra', 'max_concurrency': 128, 'optimize_disk_space': True, 'orthophoto_resolution': 1.0, 'rolling_shutter': True, 'skip_3dmodel': True, 'use_exif': True} Generic folder structure YYYYMMDD_COUNTRYCODE-optionalplace_device_session-number ├── DCIM : folder to store videos and photos depending on the media collected. ├── GPS : folder to store any positioning related file. If any kind of correction is possible on files (e.g. Post-Processed Kinematic thanks to rinex data) then the distinction between device data and base data is made. If, on the other hand, only device position data are present and the files cannot be corrected by post-processing techniques (e.g. gpx files), then the distinction between base and device is not made and the files are placed directly at the root of the GPS folder. │ ├── BASE : files coming from rtk station or any static positioning instrument. │ └── DEVICE : files coming from the device. ├── METADATA : folder with general information files about the session. ├── PROCESSED_DATA : contain all the folders needed to store the results of the data processing of the current session. │ ├── BATHY : output folder for bathymetry raw data extracted from mission logs. │ ├── FRAMES : output folder for georeferenced frames extracted from DCIM videos. │ ├── IA : destination folder for image recognition predictions. │ └── PHOTOGRAMMETRY : destination folder for reconstructed models in photogrammetry. └── SENSORS : folder to store files coming from other sources (bathymetry data from the echosounder, log file from the autopilot, mission plan etc.). Software All the raw data was processed using our worflow. All predictions were generated by our inference pipeline. You can find all the necessary scripts to download this data in this repository. Enjoy your data with SeatizenDOI!","url":"https://doi.org/10.5281/zenodo.15831267","authors":["Matteo Contini","Sylvain Bonhommeau","Serge Bernard","Julien Barde"],"tags":["Artificial Intelligence","Citizen Sciences","Computer Vision","Coral Reef","Coral Reef Habitat","Deep Learning","Drone","Ecology"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.15831267","addedAt":"2026-08-31T06:39:57.337Z","updatedAt":"2026-08-31T06:39:57.337Z"},{"id":"doi:10.5281/zenodo.15831268","name":"Aerial images collected by an Unmanned Aerial Vehicle in St-Leu-Port, Réunion - 2024-04-07","source":"datacite","abstract":"This dataset was collected by an Unmanned Aerial Vehicle in St-Leu-Port, Réunion - 2024-04-07. Underwater or aerial images collected by scientists or citizens can have a wide variety of use for science, management, or conservation. These images can be annotated and shared to train IA models which can in turn predict the objects on the images. We provide a set of tools (hardware and software) to collect marine data, predict species or habitat, and provide maps. This dataset is part of larger collection referencing numerous underwater and aerial images Seatizen Altas. Methods, tools and scientific objectives are also described in a dedicated data paper. Survey information Camera: Hasselblad L1D-20c Number of images: 284 Total size: 2.55 Gb Flight start: 2024:04:07 04:45:07 Flight end: 2024:04:07 04:56:11 Flight duration: 0h 11min 4sec Median height: 59.9 m Area covered: 3.67 a Generic folder structure YYYYMMDD_COUNTRYCODE-optionalplace_device_session-number ├── DCIM : folder to store videos and photos depending on the media collected. ├── GPS : folder to store any positioning related file. If any kind of correction is possible on files (e.g. Post-Processed Kinematic thanks to rinex data) then the distinction between device data and base data is made. If, on the other hand, only device position data are present and the files cannot be corrected by post-processing techniques (e.g. gpx files), then the distinction between base and device is not made and the files are placed directly at the root of the GPS folder. │ ├── BASE : files coming from rtk station or any static positioning instrument. │ └── DEVICE : files coming from the device. ├── METADATA : folder with general information files about the session. ├── PROCESSED_DATA : contain all the folders needed to store the results of the data processing of the current session. │ ├── BATHY : output folder for bathymetry raw data extracted from mission logs. │ ├── FRAMES : output folder for georeferenced frames extracted from DCIM videos. │ ├── IA : destination folder for image recognition predictions. │ └── PHOTOGRAMMETRY : destination folder for reconstructed models in photogrammetry. └── SENSORS : folder to store files coming from other sources (bathymetry data from the echosounder, log file from the autopilot, mission plan etc.). Software All the raw data was processed using our worflow. All predictions were generated by our inference pipeline. You can find all the necessary scripts to download this data in this repository. Enjoy your data with SeatizenDOI!","url":"https://doi.org/10.5281/zenodo.15831268","authors":["Matteo Contini","Sylvain Bonhommeau","Serge Bernard","Julien Barde"],"tags":["Artificial Intelligence","Citizen Sciences","Computer Vision","Coral Reef","Coral Reef Habitat","Deep Learning","Drone","Ecology"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.15831268","addedAt":"2026-08-31T06:39:57.337Z","updatedAt":"2026-08-31T06:39:57.337Z"},{"id":"doi:10.5281/zenodo.15831243","name":"Aerial images collected by an Unmanned Aerial Vehicle in St-Leu-Port, Réunion - 2024-04-07","source":"datacite","abstract":"This dataset was collected by an Unmanned Aerial Vehicle in St-Leu-Port, Réunion - 2024-04-07. Underwater or aerial images collected by scientists or citizens can have a wide variety of use for science, management, or conservation. These images can be annotated and shared to train IA models which can in turn predict the objects on the images. We provide a set of tools (hardware and software) to collect marine data, predict species or habitat, and provide maps. This dataset is part of larger collection referencing numerous underwater and aerial images Seatizen Altas. Methods, tools and scientific objectives are also described in a dedicated data paper. Survey information Camera: Hasselblad L1D-20c Number of images: 490 Total size: 4.0 Gb Flight start: 2024:04:07 05:01:13 Flight end: 2024:04:07 05:24:20 Flight duration: 0h 23min 7sec Median height: 30.0 m Area covered: 0.84 a Photogrammetry OpenDroneMap software was used to create an orthophoto from the raw images. Here is the list of parameters different from the default values for the orthophoto generation. For more details, you can read the log.json file or the 000_photogrammatry_report.pdf report. {'auto_boundary': True, 'cog': True, 'fast_orthophoto': True, 'feature_quality': 'ultra', 'max_concurrency': 128, 'optimize_disk_space': True, 'orthophoto_resolution': 1.0, 'rolling_shutter': True, 'skip_3dmodel': True, 'use_exif': True} Generic folder structure YYYYMMDD_COUNTRYCODE-optionalplace_device_session-number ├── DCIM : folder to store videos and photos depending on the media collected. ├── GPS : folder to store any positioning related file. If any kind of correction is possible on files (e.g. Post-Processed Kinematic thanks to rinex data) then the distinction between device data and base data is made. If, on the other hand, only device position data are present and the files cannot be corrected by post-processing techniques (e.g. gpx files), then the distinction between base and device is not made and the files are placed directly at the root of the GPS folder. │ ├── BASE : files coming from rtk station or any static positioning instrument. │ └── DEVICE : files coming from the device. ├── METADATA : folder with general information files about the session. ├── PROCESSED_DATA : contain all the folders needed to store the results of the data processing of the current session. │ ├── BATHY : output folder for bathymetry raw data extracted from mission logs. │ ├── FRAMES : output folder for georeferenced frames extracted from DCIM videos. │ ├── IA : destination folder for image recognition predictions. │ └── PHOTOGRAMMETRY : destination folder for reconstructed models in photogrammetry. └── SENSORS : folder to store files coming from other sources (bathymetry data from the echosounder, log file from the autopilot, mission plan etc.). Software All the raw data was processed using our worflow. All predictions were generated by our inference pipeline. You can find all the necessary scripts to download this data in this repository. Enjoy your data with SeatizenDOI!","url":"https://doi.org/10.5281/zenodo.15831243","authors":["Matteo Contini","Sylvain Bonhommeau","Serge Bernard","Julien Barde"],"tags":["Artificial Intelligence","Citizen Sciences","Computer Vision","Coral Reef","Coral Reef Habitat","Deep Learning","Drone","Ecology"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.15831243","addedAt":"2026-08-31T06:39:57.337Z","updatedAt":"2026-08-31T06:39:57.337Z"},{"id":"doi:10.5281/zenodo.15831262","name":"Aerial images collected by an Unmanned Aerial Vehicle in St-Leu-Port, Réunion - 2024-04-07","source":"datacite","abstract":"This dataset was collected by an Unmanned Aerial Vehicle in St-Leu-Port, Réunion - 2024-04-07. Underwater or aerial images collected by scientists or citizens can have a wide variety of use for science, management, or conservation. These images can be annotated and shared to train IA models which can in turn predict the objects on the images. We provide a set of tools (hardware and software) to collect marine data, predict species or habitat, and provide maps. This dataset is part of larger collection referencing numerous underwater and aerial images Seatizen Altas. Methods, tools and scientific objectives are also described in a dedicated data paper. Survey information Camera: Hasselblad L1D-20c Number of images: 490 Total size: 4.0 Gb Flight start: 2024:04:07 05:01:13 Flight end: 2024:04:07 05:24:20 Flight duration: 0h 23min 7sec Median height: 30.0 m Area covered: 0.84 a Photogrammetry OpenDroneMap software was used to create an orthophoto from the raw images. Here is the list of parameters different from the default values for the orthophoto generation. For more details, you can read the log.json file or the 000_photogrammatry_report.pdf report. {'auto_boundary': True, 'cog': True, 'fast_orthophoto': True, 'feature_quality': 'ultra', 'max_concurrency': 128, 'optimize_disk_space': True, 'orthophoto_resolution': 1.0, 'rolling_shutter': True, 'skip_3dmodel': True, 'use_exif': True} Generic folder structure YYYYMMDD_COUNTRYCODE-optionalplace_device_session-number ├── DCIM : folder to store videos and photos depending on the media collected. ├── GPS : folder to store any positioning related file. If any kind of correction is possible on files (e.g. Post-Processed Kinematic thanks to rinex data) then the distinction between device data and base data is made. If, on the other hand, only device position data are present and the files cannot be corrected by post-processing techniques (e.g. gpx files), then the distinction between base and device is not made and the files are placed directly at the root of the GPS folder. │ ├── BASE : files coming from rtk station or any static positioning instrument. │ └── DEVICE : files coming from the device. ├── METADATA : folder with general information files about the session. ├── PROCESSED_DATA : contain all the folders needed to store the results of the data processing of the current session. │ ├── BATHY : output folder for bathymetry raw data extracted from mission logs. │ ├── FRAMES : output folder for georeferenced frames extracted from DCIM videos. │ ├── IA : destination folder for image recognition predictions. │ └── PHOTOGRAMMETRY : destination folder for reconstructed models in photogrammetry. └── SENSORS : folder to store files coming from other sources (bathymetry data from the echosounder, log file from the autopilot, mission plan etc.). Software All the raw data was processed using our worflow. All predictions were generated by our inference pipeline. You can find all the necessary scripts to download this data in this repository. Enjoy your data with SeatizenDOI!","url":"https://doi.org/10.5281/zenodo.15831262","authors":["Matteo Contini","Sylvain Bonhommeau","Serge Bernard","Julien Barde"],"tags":["Artificial Intelligence","Citizen Sciences","Computer Vision","Coral Reef","Coral Reef Habitat","Deep Learning","Drone","Ecology"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.15831262","addedAt":"2026-08-31T06:39:57.337Z","updatedAt":"2026-08-31T06:39:57.337Z"},{"id":"doi:10.5281/zenodo.15831244","name":"Aerial images collected by an Unmanned Aerial Vehicle in St-Leu-Port, Réunion - 2024-04-07","source":"datacite","abstract":"This dataset was collected by an Unmanned Aerial Vehicle in St-Leu-Port, Réunion - 2024-04-07. Underwater or aerial images collected by scientists or citizens can have a wide variety of use for science, management, or conservation. These images can be annotated and shared to train IA models which can in turn predict the objects on the images. We provide a set of tools (hardware and software) to collect marine data, predict species or habitat, and provide maps. This dataset is part of larger collection referencing numerous underwater and aerial images Seatizen Altas. Methods, tools and scientific objectives are also described in a dedicated data paper. Survey information Camera: Hasselblad L1D-20c Number of images: 490 Total size: 4.0 Gb Flight start: 2024:04:07 05:01:13 Flight end: 2024:04:07 05:24:20 Flight duration: 0h 23min 7sec Median height: 30.0 m Area covered: 0.84 a Generic folder structure YYYYMMDD_COUNTRYCODE-optionalplace_device_session-number ├── DCIM : folder to store videos and photos depending on the media collected. ├── GPS : folder to store any positioning related file. If any kind of correction is possible on files (e.g. Post-Processed Kinematic thanks to rinex data) then the distinction between device data and base data is made. If, on the other hand, only device position data are present and the files cannot be corrected by post-processing techniques (e.g. gpx files), then the distinction between base and device is not made and the files are placed directly at the root of the GPS folder. │ ├── BASE : files coming from rtk station or any static positioning instrument. │ └── DEVICE : files coming from the device. ├── METADATA : folder with general information files about the session. ├── PROCESSED_DATA : contain all the folders needed to store the results of the data processing of the current session. │ ├── BATHY : output folder for bathymetry raw data extracted from mission logs. │ ├── FRAMES : output folder for georeferenced frames extracted from DCIM videos. │ ├── IA : destination folder for image recognition predictions. │ └── PHOTOGRAMMETRY : destination folder for reconstructed models in photogrammetry. └── SENSORS : folder to store files coming from other sources (bathymetry data from the echosounder, log file from the autopilot, mission plan etc.). Software All the raw data was processed using our worflow. All predictions were generated by our inference pipeline. You can find all the necessary scripts to download this data in this repository. Enjoy your data with SeatizenDOI!","url":"https://doi.org/10.5281/zenodo.15831244","authors":["Matteo Contini","Sylvain Bonhommeau","Serge Bernard","Julien Barde"],"tags":["Artificial Intelligence","Citizen Sciences","Computer Vision","Coral Reef","Coral Reef Habitat","Deep Learning","Drone","Ecology"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.15831244","addedAt":"2026-08-31T06:39:57.337Z","updatedAt":"2026-08-31T06:39:57.337Z"},{"id":"doi:10.5281/zenodo.15831218","name":"Aerial images collected by an Unmanned Aerial Vehicle in St-Leu-Port, Réunion - 2024-04-07","source":"datacite","abstract":"This dataset was collected by an Unmanned Aerial Vehicle in St-Leu-Port, Réunion - 2024-04-07. Underwater or aerial images collected by scientists or citizens can have a wide variety of use for science, management, or conservation. These images can be annotated and shared to train IA models which can in turn predict the objects on the images. We provide a set of tools (hardware and software) to collect marine data, predict species or habitat, and provide maps. This dataset is part of larger collection referencing numerous underwater and aerial images Seatizen Altas. Methods, tools and scientific objectives are also described in a dedicated data paper. Survey information Camera: Hasselblad L1D-20c Number of images: 188 Total size: 1.77 Gb Flight start: 2024:04:07 04:26:45 Flight end: 2024:04:07 04:37:46 Flight duration: 0h 11min 1sec Median height: 59.9 m Area covered: 3.08 a Photogrammetry OpenDroneMap software was used to create an orthophoto from the raw images. Here is the list of parameters different from the default values for the orthophoto generation. For more details, you can read the log.json file or the 000_photogrammatry_report.pdf report. {'auto_boundary': True, 'cog': True, 'fast_orthophoto': True, 'feature_quality': 'ultra', 'max_concurrency': 128, 'optimize_disk_space': True, 'orthophoto_resolution': 1.0, 'rolling_shutter': True, 'skip_3dmodel': True, 'use_exif': True} Generic folder structure YYYYMMDD_COUNTRYCODE-optionalplace_device_session-number ├── DCIM : folder to store videos and photos depending on the media collected. ├── GPS : folder to store any positioning related file. If any kind of correction is possible on files (e.g. Post-Processed Kinematic thanks to rinex data) then the distinction between device data and base data is made. If, on the other hand, only device position data are present and the files cannot be corrected by post-processing techniques (e.g. gpx files), then the distinction between base and device is not made and the files are placed directly at the root of the GPS folder. │ ├── BASE : files coming from rtk station or any static positioning instrument. │ └── DEVICE : files coming from the device. ├── METADATA : folder with general information files about the session. ├── PROCESSED_DATA : contain all the folders needed to store the results of the data processing of the current session. │ ├── BATHY : output folder for bathymetry raw data extracted from mission logs. │ ├── FRAMES : output folder for georeferenced frames extracted from DCIM videos. │ ├── IA : destination folder for image recognition predictions. │ └── PHOTOGRAMMETRY : destination folder for reconstructed models in photogrammetry. └── SENSORS : folder to store files coming from other sources (bathymetry data from the echosounder, log file from the autopilot, mission plan etc.). Software All the raw data was processed using our worflow. All predictions were generated by our inference pipeline. You can find all the necessary scripts to download this data in this repository. Enjoy your data with SeatizenDOI!","url":"https://doi.org/10.5281/zenodo.15831218","authors":["Matteo Contini","Sylvain Bonhommeau","Serge Bernard","Julien Barde"],"tags":["Artificial Intelligence","Citizen Sciences","Computer Vision","Coral Reef","Coral Reef Habitat","Deep Learning","Drone","Ecology"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.15831218","addedAt":"2026-08-31T06:39:57.337Z","updatedAt":"2026-08-31T06:39:57.337Z"},{"id":"doi:10.5281/zenodo.15831211","name":"Aerial images collected by an Unmanned Aerial Vehicle in St-Leu-Port, Réunion - 2024-04-07","source":"datacite","abstract":"This dataset was collected by an Unmanned Aerial Vehicle in St-Leu-Port, Réunion - 2024-04-07. Underwater or aerial images collected by scientists or citizens can have a wide variety of use for science, management, or conservation. These images can be annotated and shared to train IA models which can in turn predict the objects on the images. We provide a set of tools (hardware and software) to collect marine data, predict species or habitat, and provide maps. This dataset is part of larger collection referencing numerous underwater and aerial images Seatizen Altas. Methods, tools and scientific objectives are also described in a dedicated data paper. Survey information Camera: Hasselblad L1D-20c Number of images: 188 Total size: 1.77 Gb Flight start: 2024:04:07 04:26:45 Flight end: 2024:04:07 04:37:46 Flight duration: 0h 11min 1sec Median height: 59.9 m Area covered: 3.08 a Photogrammetry OpenDroneMap software was used to create an orthophoto from the raw images. Here is the list of parameters different from the default values for the orthophoto generation. For more details, you can read the log.json file or the 000_photogrammatry_report.pdf report. {'auto_boundary': True, 'cog': True, 'fast_orthophoto': True, 'feature_quality': 'ultra', 'max_concurrency': 128, 'optimize_disk_space': True, 'orthophoto_resolution': 1.0, 'rolling_shutter': True, 'skip_3dmodel': True, 'use_exif': True} Generic folder structure YYYYMMDD_COUNTRYCODE-optionalplace_device_session-number ├── DCIM : folder to store videos and photos depending on the media collected. ├── GPS : folder to store any positioning related file. If any kind of correction is possible on files (e.g. Post-Processed Kinematic thanks to rinex data) then the distinction between device data and base data is made. If, on the other hand, only device position data are present and the files cannot be corrected by post-processing techniques (e.g. gpx files), then the distinction between base and device is not made and the files are placed directly at the root of the GPS folder. │ ├── BASE : files coming from rtk station or any static positioning instrument. │ └── DEVICE : files coming from the device. ├── METADATA : folder with general information files about the session. ├── PROCESSED_DATA : contain all the folders needed to store the results of the data processing of the current session. │ ├── BATHY : output folder for bathymetry raw data extracted from mission logs. │ ├── FRAMES : output folder for georeferenced frames extracted from DCIM videos. │ ├── IA : destination folder for image recognition predictions. │ └── PHOTOGRAMMETRY : destination folder for reconstructed models in photogrammetry. └── SENSORS : folder to store files coming from other sources (bathymetry data from the echosounder, log file from the autopilot, mission plan etc.). Software All the raw data was processed using our worflow. All predictions were generated by our inference pipeline. You can find all the necessary scripts to download this data in this repository. Enjoy your data with SeatizenDOI!","url":"https://doi.org/10.5281/zenodo.15831211","authors":["Matteo Contini","Sylvain Bonhommeau","Serge Bernard","Julien Barde"],"tags":["Artificial Intelligence","Citizen Sciences","Computer Vision","Coral Reef","Coral Reef Habitat","Deep Learning","Drone","Ecology"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.15831211","addedAt":"2026-08-31T06:39:57.337Z","updatedAt":"2026-08-31T06:39:57.337Z"},{"id":"doi:10.5281/zenodo.15831212","name":"Aerial images collected by an Unmanned Aerial Vehicle in St-Leu-Port, Réunion - 2024-04-07","source":"datacite","abstract":"This dataset was collected by an Unmanned Aerial Vehicle in St-Leu-Port, Réunion - 2024-04-07. Underwater or aerial images collected by scientists or citizens can have a wide variety of use for science, management, or conservation. These images can be annotated and shared to train IA models which can in turn predict the objects on the images. We provide a set of tools (hardware and software) to collect marine data, predict species or habitat, and provide maps. This dataset is part of larger collection referencing numerous underwater and aerial images Seatizen Altas. Methods, tools and scientific objectives are also described in a dedicated data paper. Survey information Camera: Hasselblad L1D-20c Number of images: 188 Total size: 1.77 Gb Flight start: 2024:04:07 04:26:45 Flight end: 2024:04:07 04:37:46 Flight duration: 0h 11min 1sec Median height: 59.9 m Area covered: 3.08 a Generic folder structure YYYYMMDD_COUNTRYCODE-optionalplace_device_session-number ├── DCIM : folder to store videos and photos depending on the media collected. ├── GPS : folder to store any positioning related file. If any kind of correction is possible on files (e.g. Post-Processed Kinematic thanks to rinex data) then the distinction between device data and base data is made. If, on the other hand, only device position data are present and the files cannot be corrected by post-processing techniques (e.g. gpx files), then the distinction between base and device is not made and the files are placed directly at the root of the GPS folder. │ ├── BASE : files coming from rtk station or any static positioning instrument. │ └── DEVICE : files coming from the device. ├── METADATA : folder with general information files about the session. ├── PROCESSED_DATA : contain all the folders needed to store the results of the data processing of the current session. │ ├── BATHY : output folder for bathymetry raw data extracted from mission logs. │ ├── FRAMES : output folder for georeferenced frames extracted from DCIM videos. │ ├── IA : destination folder for image recognition predictions. │ └── PHOTOGRAMMETRY : destination folder for reconstructed models in photogrammetry. └── SENSORS : folder to store files coming from other sources (bathymetry data from the echosounder, log file from the autopilot, mission plan etc.). Software All the raw data was processed using our worflow. All predictions were generated by our inference pipeline. You can find all the necessary scripts to download this data in this repository. Enjoy your data with SeatizenDOI!","url":"https://doi.org/10.5281/zenodo.15831212","authors":["Matteo Contini","Sylvain Bonhommeau","Serge Bernard","Julien Barde"],"tags":["Artificial Intelligence","Citizen Sciences","Computer Vision","Coral Reef","Coral Reef Habitat","Deep Learning","Drone","Ecology"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.15831212","addedAt":"2026-08-31T06:39:57.337Z","updatedAt":"2026-08-31T06:39:57.337Z"},{"id":"doi:10.5281/zenodo.15831200","name":"Aerial images collected by an Unmanned Aerial Vehicle in St-Leu, Réunion - 2024-04-06","source":"datacite","abstract":"This dataset was collected by an Unmanned Aerial Vehicle in St-Leu, Réunion - 2024-04-06. Underwater or aerial images collected by scientists or citizens can have a wide variety of use for science, management, or conservation. These images can be annotated and shared to train IA models which can in turn predict the objects on the images. We provide a set of tools (hardware and software) to collect marine data, predict species or habitat, and provide maps. This dataset is part of larger collection referencing numerous underwater and aerial images Seatizen Altas. Methods, tools and scientific objectives are also described in a dedicated data paper. Survey information Camera: Hasselblad L1D-20c Number of images: 508 Total size: 4.23 Gb Flight start: 2024:04:03 15:30:51 Flight end: 2024:04:03 15:49:41 Flight duration: 0h 18min 50sec Median height: 59.9 m Area covered: 7.11 a Photogrammetry OpenDroneMap software was used to create an orthophoto from the raw images. Here is the list of parameters different from the default values for the orthophoto generation. For more details, you can read the log.json file or the 000_photogrammatry_report.pdf report. {'auto_boundary': True, 'cog': True, 'fast_orthophoto': True, 'feature_quality': 'ultra', 'max_concurrency': 128, 'optimize_disk_space': True, 'orthophoto_resolution': 1.0, 'rolling_shutter': True, 'skip_3dmodel': True, 'use_exif': True} Generic folder structure YYYYMMDD_COUNTRYCODE-optionalplace_device_session-number ├── DCIM : folder to store videos and photos depending on the media collected. ├── GPS : folder to store any positioning related file. If any kind of correction is possible on files (e.g. Post-Processed Kinematic thanks to rinex data) then the distinction between device data and base data is made. If, on the other hand, only device position data are present and the files cannot be corrected by post-processing techniques (e.g. gpx files), then the distinction between base and device is not made and the files are placed directly at the root of the GPS folder. │ ├── BASE : files coming from rtk station or any static positioning instrument. │ └── DEVICE : files coming from the device. ├── METADATA : folder with general information files about the session. ├── PROCESSED_DATA : contain all the folders needed to store the results of the data processing of the current session. │ ├── BATHY : output folder for bathymetry raw data extracted from mission logs. │ ├── FRAMES : output folder for georeferenced frames extracted from DCIM videos. │ ├── IA : destination folder for image recognition predictions. │ └── PHOTOGRAMMETRY : destination folder for reconstructed models in photogrammetry. └── SENSORS : folder to store files coming from other sources (bathymetry data from the echosounder, log file from the autopilot, mission plan etc.). Software All the raw data was processed using our worflow. All predictions were generated by our inference pipeline. You can find all the necessary scripts to download this data in this repository. Enjoy your data with SeatizenDOI!","url":"https://doi.org/10.5281/zenodo.15831200","authors":["Matteo Contini","Sylvain Bonhommeau","Serge Bernard","Julien Barde"],"tags":["Artificial Intelligence","Citizen Sciences","Computer Vision","Coral Reef","Coral Reef Habitat","Deep Learning","Drone","Ecology"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.15831200","addedAt":"2026-08-31T06:39:57.337Z","updatedAt":"2026-08-31T06:39:57.337Z"},{"id":"doi:10.5281/zenodo.15831175","name":"Aerial images collected by an Unmanned Aerial Vehicle in St-Leu, Réunion - 2024-04-06","source":"datacite","abstract":"This dataset was collected by an Unmanned Aerial Vehicle in St-Leu, Réunion - 2024-04-06. Underwater or aerial images collected by scientists or citizens can have a wide variety of use for science, management, or conservation. These images can be annotated and shared to train IA models which can in turn predict the objects on the images. We provide a set of tools (hardware and software) to collect marine data, predict species or habitat, and provide maps. This dataset is part of larger collection referencing numerous underwater and aerial images Seatizen Altas. Methods, tools and scientific objectives are also described in a dedicated data paper. Survey information Camera: Hasselblad L1D-20c Number of images: 508 Total size: 4.23 Gb Flight start: 2024:04:03 15:30:51 Flight end: 2024:04:03 15:49:41 Flight duration: 0h 18min 50sec Median height: 59.9 m Area covered: 7.11 a Photogrammetry OpenDroneMap software was used to create an orthophoto from the raw images. Here is the list of parameters different from the default values for the orthophoto generation. For more details, you can read the log.json file or the 000_photogrammatry_report.pdf report. {'auto_boundary': True, 'cog': True, 'fast_orthophoto': True, 'feature_quality': 'ultra', 'max_concurrency': 128, 'optimize_disk_space': True, 'orthophoto_resolution': 1.0, 'rolling_shutter': True, 'skip_3dmodel': True, 'use_exif': True} Generic folder structure YYYYMMDD_COUNTRYCODE-optionalplace_device_session-number ├── DCIM : folder to store videos and photos depending on the media collected. ├── GPS : folder to store any positioning related file. If any kind of correction is possible on files (e.g. Post-Processed Kinematic thanks to rinex data) then the distinction between device data and base data is made. If, on the other hand, only device position data are present and the files cannot be corrected by post-processing techniques (e.g. gpx files), then the distinction between base and device is not made and the files are placed directly at the root of the GPS folder. │ ├── BASE : files coming from rtk station or any static positioning instrument. │ └── DEVICE : files coming from the device. ├── METADATA : folder with general information files about the session. ├── PROCESSED_DATA : contain all the folders needed to store the results of the data processing of the current session. │ ├── BATHY : output folder for bathymetry raw data extracted from mission logs. │ ├── FRAMES : output folder for georeferenced frames extracted from DCIM videos. │ ├── IA : destination folder for image recognition predictions. │ └── PHOTOGRAMMETRY : destination folder for reconstructed models in photogrammetry. └── SENSORS : folder to store files coming from other sources (bathymetry data from the echosounder, log file from the autopilot, mission plan etc.). Software All the raw data was processed using our worflow. All predictions were generated by our inference pipeline. You can find all the necessary scripts to download this data in this repository. Enjoy your data with SeatizenDOI!","url":"https://doi.org/10.5281/zenodo.15831175","authors":["Matteo Contini","Sylvain Bonhommeau","Serge Bernard","Julien Barde"],"tags":["Artificial Intelligence","Citizen Sciences","Computer Vision","Coral Reef","Coral Reef Habitat","Deep Learning","Drone","Ecology"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.15831175","addedAt":"2026-08-31T06:39:57.337Z","updatedAt":"2026-08-31T06:39:57.337Z"},{"id":"doi:10.5281/zenodo.15831176","name":"Aerial images collected by an Unmanned Aerial Vehicle in St-Leu, Réunion - 2024-04-06","source":"datacite","abstract":"This dataset was collected by an Unmanned Aerial Vehicle in St-Leu, Réunion - 2024-04-06. Underwater or aerial images collected by scientists or citizens can have a wide variety of use for science, management, or conservation. These images can be annotated and shared to train IA models which can in turn predict the objects on the images. We provide a set of tools (hardware and software) to collect marine data, predict species or habitat, and provide maps. This dataset is part of larger collection referencing numerous underwater and aerial images Seatizen Altas. Methods, tools and scientific objectives are also described in a dedicated data paper. Survey information Camera: Hasselblad L1D-20c Number of images: 508 Total size: 4.23 Gb Flight start: 2024:04:03 15:30:51 Flight end: 2024:04:03 15:49:41 Flight duration: 0h 18min 50sec Median height: 59.9 m Area covered: 7.11 a Generic folder structure YYYYMMDD_COUNTRYCODE-optionalplace_device_session-number ├── DCIM : folder to store videos and photos depending on the media collected. ├── GPS : folder to store any positioning related file. If any kind of correction is possible on files (e.g. Post-Processed Kinematic thanks to rinex data) then the distinction between device data and base data is made. If, on the other hand, only device position data are present and the files cannot be corrected by post-processing techniques (e.g. gpx files), then the distinction between base and device is not made and the files are placed directly at the root of the GPS folder. │ ├── BASE : files coming from rtk station or any static positioning instrument. │ └── DEVICE : files coming from the device. ├── METADATA : folder with general information files about the session. ├── PROCESSED_DATA : contain all the folders needed to store the results of the data processing of the current session. │ ├── BATHY : output folder for bathymetry raw data extracted from mission logs. │ ├── FRAMES : output folder for georeferenced frames extracted from DCIM videos. │ ├── IA : destination folder for image recognition predictions. │ └── PHOTOGRAMMETRY : destination folder for reconstructed models in photogrammetry. └── SENSORS : folder to store files coming from other sources (bathymetry data from the echosounder, log file from the autopilot, mission plan etc.). Software All the raw data was processed using our worflow. All predictions were generated by our inference pipeline. You can find all the necessary scripts to download this data in this repository. Enjoy your data with SeatizenDOI!","url":"https://doi.org/10.5281/zenodo.15831176","authors":["Matteo Contini","Sylvain Bonhommeau","Serge Bernard","Julien Barde"],"tags":["Artificial Intelligence","Citizen Sciences","Computer Vision","Coral Reef","Coral Reef Habitat","Deep Learning","Drone","Ecology"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.15831176","addedAt":"2026-08-31T06:39:57.337Z","updatedAt":"2026-08-31T06:39:57.337Z"},{"id":"doi:10.5281/zenodo.15831129","name":"Aerial images collected by an Unmanned Aerial Vehicle in Hermitage, Réunion - 2024-04-06","source":"datacite","abstract":"This dataset was collected by an Unmanned Aerial Vehicle in Hermitage, Réunion - 2024-04-06. Underwater or aerial images collected by scientists or citizens can have a wide variety of use for science, management, or conservation. These images can be annotated and shared to train IA models which can in turn predict the objects on the images. We provide a set of tools (hardware and software) to collect marine data, predict species or habitat, and provide maps. This dataset is part of larger collection referencing numerous underwater and aerial images Seatizen Altas. Methods, tools and scientific objectives are also described in a dedicated data paper. Survey information Camera: Hasselblad L1D-20c Number of images: 753 Total size: 7.26 Gb Flight start: 2024:04:06 04:31:29 Flight end: 2024:04:06 05:16:18 Flight duration: 0h 44min 49sec Median height: 59.9 m Area covered: 13.19 a Photogrammetry OpenDroneMap software was used to create an orthophoto from the raw images. Here is the list of parameters different from the default values for the orthophoto generation. For more details, you can read the log.json file or the 000_photogrammatry_report.pdf report. {'auto_boundary': True, 'cog': True, 'fast_orthophoto': True, 'feature_quality': 'ultra', 'max_concurrency': 128, 'optimize_disk_space': True, 'orthophoto_resolution': 1.0, 'rolling_shutter': True, 'skip_3dmodel': True, 'use_exif': True} Generic folder structure YYYYMMDD_COUNTRYCODE-optionalplace_device_session-number ├── DCIM : folder to store videos and photos depending on the media collected. ├── GPS : folder to store any positioning related file. If any kind of correction is possible on files (e.g. Post-Processed Kinematic thanks to rinex data) then the distinction between device data and base data is made. If, on the other hand, only device position data are present and the files cannot be corrected by post-processing techniques (e.g. gpx files), then the distinction between base and device is not made and the files are placed directly at the root of the GPS folder. │ ├── BASE : files coming from rtk station or any static positioning instrument. │ └── DEVICE : files coming from the device. ├── METADATA : folder with general information files about the session. ├── PROCESSED_DATA : contain all the folders needed to store the results of the data processing of the current session. │ ├── BATHY : output folder for bathymetry raw data extracted from mission logs. │ ├── FRAMES : output folder for georeferenced frames extracted from DCIM videos. │ ├── IA : destination folder for image recognition predictions. │ └── PHOTOGRAMMETRY : destination folder for reconstructed models in photogrammetry. └── SENSORS : folder to store files coming from other sources (bathymetry data from the echosounder, log file from the autopilot, mission plan etc.). Software All the raw data was processed using our worflow. All predictions were generated by our inference pipeline. You can find all the necessary scripts to download this data in this repository. Enjoy your data with SeatizenDOI!","url":"https://doi.org/10.5281/zenodo.15831129","authors":["Matteo Contini","Sylvain Bonhommeau","Serge Bernard","Julien Barde"],"tags":["Artificial Intelligence","Citizen Sciences","Computer Vision","Coral Reef","Coral Reef Habitat","Deep Learning","Drone","Ecology"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.15831129","addedAt":"2026-08-31T06:39:57.337Z","updatedAt":"2026-08-31T06:39:57.337Z"},{"id":"doi:10.5281/zenodo.15831085","name":"Aerial images collected by an Unmanned Aerial Vehicle in Hermitage, Réunion - 2024-04-06","source":"datacite","abstract":"This dataset was collected by an Unmanned Aerial Vehicle in Hermitage, Réunion - 2024-04-06. Underwater or aerial images collected by scientists or citizens can have a wide variety of use for science, management, or conservation. These images can be annotated and shared to train IA models which can in turn predict the objects on the images. We provide a set of tools (hardware and software) to collect marine data, predict species or habitat, and provide maps. This dataset is part of larger collection referencing numerous underwater and aerial images Seatizen Altas. Methods, tools and scientific objectives are also described in a dedicated data paper. Survey information Camera: Hasselblad L1D-20c Number of images: 753 Total size: 7.26 Gb Flight start: 2024:04:06 04:31:29 Flight end: 2024:04:06 05:16:18 Flight duration: 0h 44min 49sec Median height: 59.9 m Area covered: 13.19 a Photogrammetry OpenDroneMap software was used to create an orthophoto from the raw images. Here is the list of parameters different from the default values for the orthophoto generation. For more details, you can read the log.json file or the 000_photogrammatry_report.pdf report. {'auto_boundary': True, 'cog': True, 'fast_orthophoto': True, 'feature_quality': 'ultra', 'max_concurrency': 128, 'optimize_disk_space': True, 'orthophoto_resolution': 1.0, 'rolling_shutter': True, 'skip_3dmodel': True, 'use_exif': True} Generic folder structure YYYYMMDD_COUNTRYCODE-optionalplace_device_session-number ├── DCIM : folder to store videos and photos depending on the media collected. ├── GPS : folder to store any positioning related file. If any kind of correction is possible on files (e.g. Post-Processed Kinematic thanks to rinex data) then the distinction between device data and base data is made. If, on the other hand, only device position data are present and the files cannot be corrected by post-processing techniques (e.g. gpx files), then the distinction between base and device is not made and the files are placed directly at the root of the GPS folder. │ ├── BASE : files coming from rtk station or any static positioning instrument. │ └── DEVICE : files coming from the device. ├── METADATA : folder with general information files about the session. ├── PROCESSED_DATA : contain all the folders needed to store the results of the data processing of the current session. │ ├── BATHY : output folder for bathymetry raw data extracted from mission logs. │ ├── FRAMES : output folder for georeferenced frames extracted from DCIM videos. │ ├── IA : destination folder for image recognition predictions. │ └── PHOTOGRAMMETRY : destination folder for reconstructed models in photogrammetry. └── SENSORS : folder to store files coming from other sources (bathymetry data from the echosounder, log file from the autopilot, mission plan etc.). Software All the raw data was processed using our worflow. All predictions were generated by our inference pipeline. You can find all the necessary scripts to download this data in this repository. Enjoy your data with SeatizenDOI!","url":"https://doi.org/10.5281/zenodo.15831085","authors":["Matteo Contini","Sylvain Bonhommeau","Serge Bernard","Julien Barde"],"tags":["Artificial Intelligence","Citizen Sciences","Computer Vision","Coral Reef","Coral Reef Habitat","Deep Learning","Drone","Ecology"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.15831085","addedAt":"2026-08-31T06:39:57.337Z","updatedAt":"2026-08-31T06:39:57.337Z"},{"id":"doi:10.5281/zenodo.15831086","name":"Aerial images collected by an Unmanned Aerial Vehicle in Hermitage, Réunion - 2024-04-06","source":"datacite","abstract":"This dataset was collected by an Unmanned Aerial Vehicle in Hermitage, Réunion - 2024-04-06. Underwater or aerial images collected by scientists or citizens can have a wide variety of use for science, management, or conservation. These images can be annotated and shared to train IA models which can in turn predict the objects on the images. We provide a set of tools (hardware and software) to collect marine data, predict species or habitat, and provide maps. This dataset is part of larger collection referencing numerous underwater and aerial images Seatizen Altas. Methods, tools and scientific objectives are also described in a dedicated data paper. Survey information Camera: Hasselblad L1D-20c Number of images: 753 Total size: 7.26 Gb Flight start: 2024:04:06 04:31:29 Flight end: 2024:04:06 05:16:18 Flight duration: 0h 44min 49sec Median height: 59.9 m Area covered: 13.19 a Generic folder structure YYYYMMDD_COUNTRYCODE-optionalplace_device_session-number ├── DCIM : folder to store videos and photos depending on the media collected. ├── GPS : folder to store any positioning related file. If any kind of correction is possible on files (e.g. Post-Processed Kinematic thanks to rinex data) then the distinction between device data and base data is made. If, on the other hand, only device position data are present and the files cannot be corrected by post-processing techniques (e.g. gpx files), then the distinction between base and device is not made and the files are placed directly at the root of the GPS folder. │ ├── BASE : files coming from rtk station or any static positioning instrument. │ └── DEVICE : files coming from the device. ├── METADATA : folder with general information files about the session. ├── PROCESSED_DATA : contain all the folders needed to store the results of the data processing of the current session. │ ├── BATHY : output folder for bathymetry raw data extracted from mission logs. │ ├── FRAMES : output folder for georeferenced frames extracted from DCIM videos. │ ├── IA : destination folder for image recognition predictions. │ └── PHOTOGRAMMETRY : destination folder for reconstructed models in photogrammetry. └── SENSORS : folder to store files coming from other sources (bathymetry data from the echosounder, log file from the autopilot, mission plan etc.). Software All the raw data was processed using our worflow. All predictions were generated by our inference pipeline. You can find all the necessary scripts to download this data in this repository. Enjoy your data with SeatizenDOI!","url":"https://doi.org/10.5281/zenodo.15831086","authors":["Matteo Contini","Sylvain Bonhommeau","Serge Bernard","Julien Barde"],"tags":["Artificial Intelligence","Citizen Sciences","Computer Vision","Coral Reef","Coral Reef Habitat","Deep Learning","Drone","Ecology"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.15831086","addedAt":"2026-08-31T06:39:57.337Z","updatedAt":"2026-08-31T06:39:57.337Z"},{"id":"doi:10.5281/zenodo.15831013","name":"Aerial images collected by an Unmanned Aerial Vehicle in Hermitage, Réunion - 2024-04-05","source":"datacite","abstract":"This dataset was collected by an Unmanned Aerial Vehicle in Hermitage, Réunion - 2024-04-05. Underwater or aerial images collected by scientists or citizens can have a wide variety of use for science, management, or conservation. These images can be annotated and shared to train IA models which can in turn predict the objects on the images. We provide a set of tools (hardware and software) to collect marine data, predict species or habitat, and provide maps. This dataset is part of larger collection referencing numerous underwater and aerial images Seatizen Altas. Methods, tools and scientific objectives are also described in a dedicated data paper. Survey information Camera: Hasselblad L1D-20c Number of images: 571 Total size: 5.63 Gb Flight start: 2024:04:05 04:50:29 Flight end: 2024:04:05 05:11:11 Flight duration: 0h 20min 42sec Median height: 59.9 m Area covered: 6.79 a Photogrammetry OpenDroneMap software was used to create an orthophoto from the raw images. Here is the list of parameters different from the default values for the orthophoto generation. For more details, you can read the log.json file or the 000_photogrammatry_report.pdf report. {'auto_boundary': True, 'cog': True, 'fast_orthophoto': True, 'feature_quality': 'ultra', 'max_concurrency': 128, 'optimize_disk_space': True, 'orthophoto_resolution': 1.0, 'rolling_shutter': True, 'skip_3dmodel': True, 'use_exif': True} Generic folder structure YYYYMMDD_COUNTRYCODE-optionalplace_device_session-number ├── DCIM : folder to store videos and photos depending on the media collected. ├── GPS : folder to store any positioning related file. If any kind of correction is possible on files (e.g. Post-Processed Kinematic thanks to rinex data) then the distinction between device data and base data is made. If, on the other hand, only device position data are present and the files cannot be corrected by post-processing techniques (e.g. gpx files), then the distinction between base and device is not made and the files are placed directly at the root of the GPS folder. │ ├── BASE : files coming from rtk station or any static positioning instrument. │ └── DEVICE : files coming from the device. ├── METADATA : folder with general information files about the session. ├── PROCESSED_DATA : contain all the folders needed to store the results of the data processing of the current session. │ ├── BATHY : output folder for bathymetry raw data extracted from mission logs. │ ├── FRAMES : output folder for georeferenced frames extracted from DCIM videos. │ ├── IA : destination folder for image recognition predictions. │ └── PHOTOGRAMMETRY : destination folder for reconstructed models in photogrammetry. └── SENSORS : folder to store files coming from other sources (bathymetry data from the echosounder, log file from the autopilot, mission plan etc.). Software All the raw data was processed using our worflow. All predictions were generated by our inference pipeline. You can find all the necessary scripts to download this data in this repository. Enjoy your data with SeatizenDOI!","url":"https://doi.org/10.5281/zenodo.15831013","authors":["Matteo Contini","Sylvain Bonhommeau","Serge Bernard","Julien Barde"],"tags":["Artificial Intelligence","Citizen Sciences","Computer Vision","Coral Reef","Coral Reef Habitat","Deep Learning","Drone","Ecology"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.15831013","addedAt":"2026-08-31T06:39:57.337Z","updatedAt":"2026-08-31T06:39:57.337Z"},{"id":"doi:10.5281/zenodo.15831047","name":"Aerial images collected by an Unmanned Aerial Vehicle in Hermitage, Réunion - 2024-04-05","source":"datacite","abstract":"This dataset was collected by an Unmanned Aerial Vehicle in Hermitage, Réunion - 2024-04-05. Underwater or aerial images collected by scientists or citizens can have a wide variety of use for science, management, or conservation. These images can be annotated and shared to train IA models which can in turn predict the objects on the images. We provide a set of tools (hardware and software) to collect marine data, predict species or habitat, and provide maps. This dataset is part of larger collection referencing numerous underwater and aerial images Seatizen Altas. Methods, tools and scientific objectives are also described in a dedicated data paper. Survey information Camera: Hasselblad L1D-20c Number of images: 571 Total size: 5.63 Gb Flight start: 2024:04:05 04:50:29 Flight end: 2024:04:05 05:11:11 Flight duration: 0h 20min 42sec Median height: 59.9 m Area covered: 6.79 a Photogrammetry OpenDroneMap software was used to create an orthophoto from the raw images. Here is the list of parameters different from the default values for the orthophoto generation. For more details, you can read the log.json file or the 000_photogrammatry_report.pdf report. {'auto_boundary': True, 'cog': True, 'fast_orthophoto': True, 'feature_quality': 'ultra', 'max_concurrency': 128, 'optimize_disk_space': True, 'orthophoto_resolution': 1.0, 'rolling_shutter': True, 'skip_3dmodel': True, 'use_exif': True} Generic folder structure YYYYMMDD_COUNTRYCODE-optionalplace_device_session-number ├── DCIM : folder to store videos and photos depending on the media collected. ├── GPS : folder to store any positioning related file. If any kind of correction is possible on files (e.g. Post-Processed Kinematic thanks to rinex data) then the distinction between device data and base data is made. If, on the other hand, only device position data are present and the files cannot be corrected by post-processing techniques (e.g. gpx files), then the distinction between base and device is not made and the files are placed directly at the root of the GPS folder. │ ├── BASE : files coming from rtk station or any static positioning instrument. │ └── DEVICE : files coming from the device. ├── METADATA : folder with general information files about the session. ├── PROCESSED_DATA : contain all the folders needed to store the results of the data processing of the current session. │ ├── BATHY : output folder for bathymetry raw data extracted from mission logs. │ ├── FRAMES : output folder for georeferenced frames extracted from DCIM videos. │ ├── IA : destination folder for image recognition predictions. │ └── PHOTOGRAMMETRY : destination folder for reconstructed models in photogrammetry. └── SENSORS : folder to store files coming from other sources (bathymetry data from the echosounder, log file from the autopilot, mission plan etc.). Software All the raw data was processed using our worflow. All predictions were generated by our inference pipeline. You can find all the necessary scripts to download this data in this repository. Enjoy your data with SeatizenDOI!","url":"https://doi.org/10.5281/zenodo.15831047","authors":["Matteo Contini","Sylvain Bonhommeau","Serge Bernard","Julien Barde"],"tags":["Artificial Intelligence","Citizen Sciences","Computer Vision","Coral Reef","Coral Reef Habitat","Deep Learning","Drone","Ecology"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.15831047","addedAt":"2026-08-31T06:39:57.337Z","updatedAt":"2026-08-31T06:39:57.337Z"},{"id":"doi:10.5281/zenodo.15831014","name":"Aerial images collected by an Unmanned Aerial Vehicle in Hermitage, Réunion - 2024-04-05","source":"datacite","abstract":"This dataset was collected by an Unmanned Aerial Vehicle in Hermitage, Réunion - 2024-04-05. Underwater or aerial images collected by scientists or citizens can have a wide variety of use for science, management, or conservation. These images can be annotated and shared to train IA models which can in turn predict the objects on the images. We provide a set of tools (hardware and software) to collect marine data, predict species or habitat, and provide maps. This dataset is part of larger collection referencing numerous underwater and aerial images Seatizen Altas. Methods, tools and scientific objectives are also described in a dedicated data paper. Survey information Camera: Hasselblad L1D-20c Number of images: 571 Total size: 5.63 Gb Flight start: 2024:04:05 04:50:29 Flight end: 2024:04:05 05:11:11 Flight duration: 0h 20min 42sec Median height: 59.9 m Area covered: 6.79 a Generic folder structure YYYYMMDD_COUNTRYCODE-optionalplace_device_session-number ├── DCIM : folder to store videos and photos depending on the media collected. ├── GPS : folder to store any positioning related file. If any kind of correction is possible on files (e.g. Post-Processed Kinematic thanks to rinex data) then the distinction between device data and base data is made. If, on the other hand, only device position data are present and the files cannot be corrected by post-processing techniques (e.g. gpx files), then the distinction between base and device is not made and the files are placed directly at the root of the GPS folder. │ ├── BASE : files coming from rtk station or any static positioning instrument. │ └── DEVICE : files coming from the device. ├── METADATA : folder with general information files about the session. ├── PROCESSED_DATA : contain all the folders needed to store the results of the data processing of the current session. │ ├── BATHY : output folder for bathymetry raw data extracted from mission logs. │ ├── FRAMES : output folder for georeferenced frames extracted from DCIM videos. │ ├── IA : destination folder for image recognition predictions. │ └── PHOTOGRAMMETRY : destination folder for reconstructed models in photogrammetry. └── SENSORS : folder to store files coming from other sources (bathymetry data from the echosounder, log file from the autopilot, mission plan etc.). Software All the raw data was processed using our worflow. All predictions were generated by our inference pipeline. You can find all the necessary scripts to download this data in this repository. Enjoy your data with SeatizenDOI!","url":"https://doi.org/10.5281/zenodo.15831014","authors":["Matteo Contini","Sylvain Bonhommeau","Serge Bernard","Julien Barde"],"tags":["Artificial Intelligence","Citizen Sciences","Computer Vision","Coral Reef","Coral Reef Habitat","Deep Learning","Drone","Ecology"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.15831014","addedAt":"2026-08-31T06:39:57.337Z","updatedAt":"2026-08-31T06:39:57.337Z"},{"id":"doi:10.5281/zenodo.15831003","name":"Aerial images collected by an Unmanned Aerial Vehicle in Tessier, Réunion - 2024-04-04","source":"datacite","abstract":"This dataset was collected by an Unmanned Aerial Vehicle in Tessier, Réunion - 2024-04-04. Underwater or aerial images collected by scientists or citizens can have a wide variety of use for science, management, or conservation. These images can be annotated and shared to train IA models which can in turn predict the objects on the images. We provide a set of tools (hardware and software) to collect marine data, predict species or habitat, and provide maps. This dataset is part of larger collection referencing numerous underwater and aerial images Seatizen Altas. Methods, tools and scientific objectives are also described in a dedicated data paper. Survey information Camera: Hasselblad L1D-20c Number of images: 90 Total size: 0.9 Gb Flight start: 2024:04:04 05:37:52 Flight end: 2024:04:04 05:41:14 Flight duration: 0h 3min 22sec Median height: 59.9 m Area covered: 0.82 a Photogrammetry OpenDroneMap software was used to create an orthophoto from the raw images. Here is the list of parameters different from the default values for the orthophoto generation. For more details, you can read the log.json file or the 000_photogrammatry_report.pdf report. {'auto_boundary': True, 'cog': True, 'fast_orthophoto': True, 'feature_quality': 'ultra', 'max_concurrency': 128, 'optimize_disk_space': True, 'orthophoto_resolution': 1.0, 'rolling_shutter': True, 'skip_3dmodel': True, 'use_exif': True} Generic folder structure YYYYMMDD_COUNTRYCODE-optionalplace_device_session-number ├── DCIM : folder to store videos and photos depending on the media collected. ├── GPS : folder to store any positioning related file. If any kind of correction is possible on files (e.g. Post-Processed Kinematic thanks to rinex data) then the distinction between device data and base data is made. If, on the other hand, only device position data are present and the files cannot be corrected by post-processing techniques (e.g. gpx files), then the distinction between base and device is not made and the files are placed directly at the root of the GPS folder. │ ├── BASE : files coming from rtk station or any static positioning instrument. │ └── DEVICE : files coming from the device. ├── METADATA : folder with general information files about the session. ├── PROCESSED_DATA : contain all the folders needed to store the results of the data processing of the current session. │ ├── BATHY : output folder for bathymetry raw data extracted from mission logs. │ ├── FRAMES : output folder for georeferenced frames extracted from DCIM videos. │ ├── IA : destination folder for image recognition predictions. │ └── PHOTOGRAMMETRY : destination folder for reconstructed models in photogrammetry. └── SENSORS : folder to store files coming from other sources (bathymetry data from the echosounder, log file from the autopilot, mission plan etc.). Software All the raw data was processed using our worflow. All predictions were generated by our inference pipeline. You can find all the necessary scripts to download this data in this repository. Enjoy your data with SeatizenDOI!","url":"https://doi.org/10.5281/zenodo.15831003","authors":["Matteo Contini","Sylvain Bonhommeau","Serge Bernard","Julien Barde"],"tags":["Artificial Intelligence","Citizen Sciences","Computer Vision","Coral Reef","Coral Reef Habitat","Deep Learning","Drone","Ecology"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.15831003","addedAt":"2026-08-31T06:39:57.337Z","updatedAt":"2026-08-31T06:39:57.337Z"},{"id":"doi:10.5281/zenodo.15830999","name":"Aerial images collected by an Unmanned Aerial Vehicle in Tessier, Réunion - 2024-04-04","source":"datacite","abstract":"This dataset was collected by an Unmanned Aerial Vehicle in Tessier, Réunion - 2024-04-04. Underwater or aerial images collected by scientists or citizens can have a wide variety of use for science, management, or conservation. These images can be annotated and shared to train IA models which can in turn predict the objects on the images. We provide a set of tools (hardware and software) to collect marine data, predict species or habitat, and provide maps. This dataset is part of larger collection referencing numerous underwater and aerial images Seatizen Altas. Methods, tools and scientific objectives are also described in a dedicated data paper. Survey information Camera: Hasselblad L1D-20c Number of images: 90 Total size: 0.9 Gb Flight start: 2024:04:04 05:37:52 Flight end: 2024:04:04 05:41:14 Flight duration: 0h 3min 22sec Median height: 59.9 m Area covered: 0.82 a Photogrammetry OpenDroneMap software was used to create an orthophoto from the raw images. Here is the list of parameters different from the default values for the orthophoto generation. For more details, you can read the log.json file or the 000_photogrammatry_report.pdf report. {'auto_boundary': True, 'cog': True, 'fast_orthophoto': True, 'feature_quality': 'ultra', 'max_concurrency': 128, 'optimize_disk_space': True, 'orthophoto_resolution': 1.0, 'rolling_shutter': True, 'skip_3dmodel': True, 'use_exif': True} Generic folder structure YYYYMMDD_COUNTRYCODE-optionalplace_device_session-number ├── DCIM : folder to store videos and photos depending on the media collected. ├── GPS : folder to store any positioning related file. If any kind of correction is possible on files (e.g. Post-Processed Kinematic thanks to rinex data) then the distinction between device data and base data is made. If, on the other hand, only device position data are present and the files cannot be corrected by post-processing techniques (e.g. gpx files), then the distinction between base and device is not made and the files are placed directly at the root of the GPS folder. │ ├── BASE : files coming from rtk station or any static positioning instrument. │ └── DEVICE : files coming from the device. ├── METADATA : folder with general information files about the session. ├── PROCESSED_DATA : contain all the folders needed to store the results of the data processing of the current session. │ ├── BATHY : output folder for bathymetry raw data extracted from mission logs. │ ├── FRAMES : output folder for georeferenced frames extracted from DCIM videos. │ ├── IA : destination folder for image recognition predictions. │ └── PHOTOGRAMMETRY : destination folder for reconstructed models in photogrammetry. └── SENSORS : folder to store files coming from other sources (bathymetry data from the echosounder, log file from the autopilot, mission plan etc.). Software All the raw data was processed using our worflow. All predictions were generated by our inference pipeline. You can find all the necessary scripts to download this data in this repository. Enjoy your data with SeatizenDOI!","url":"https://doi.org/10.5281/zenodo.15830999","authors":["Matteo Contini","Sylvain Bonhommeau","Serge Bernard","Julien Barde"],"tags":["Artificial Intelligence","Citizen Sciences","Computer Vision","Coral Reef","Coral Reef Habitat","Deep Learning","Drone","Ecology"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.15830999","addedAt":"2026-08-31T06:39:57.337Z","updatedAt":"2026-08-31T06:39:57.337Z"},{"id":"doi:10.5281/zenodo.15831000","name":"Aerial images collected by an Unmanned Aerial Vehicle in Tessier, Réunion - 2024-04-04","source":"datacite","abstract":"This dataset was collected by an Unmanned Aerial Vehicle in Tessier, Réunion - 2024-04-04. Underwater or aerial images collected by scientists or citizens can have a wide variety of use for science, management, or conservation. These images can be annotated and shared to train IA models which can in turn predict the objects on the images. We provide a set of tools (hardware and software) to collect marine data, predict species or habitat, and provide maps. This dataset is part of larger collection referencing numerous underwater and aerial images Seatizen Altas. Methods, tools and scientific objectives are also described in a dedicated data paper. Survey information Camera: Hasselblad L1D-20c Number of images: 90 Total size: 0.9 Gb Flight start: 2024:04:04 05:37:52 Flight end: 2024:04:04 05:41:14 Flight duration: 0h 3min 22sec Median height: 59.9 m Area covered: 0.82 a Generic folder structure YYYYMMDD_COUNTRYCODE-optionalplace_device_session-number ├── DCIM : folder to store videos and photos depending on the media collected. ├── GPS : folder to store any positioning related file. If any kind of correction is possible on files (e.g. Post-Processed Kinematic thanks to rinex data) then the distinction between device data and base data is made. If, on the other hand, only device position data are present and the files cannot be corrected by post-processing techniques (e.g. gpx files), then the distinction between base and device is not made and the files are placed directly at the root of the GPS folder. │ ├── BASE : files coming from rtk station or any static positioning instrument. │ └── DEVICE : files coming from the device. ├── METADATA : folder with general information files about the session. ├── PROCESSED_DATA : contain all the folders needed to store the results of the data processing of the current session. │ ├── BATHY : output folder for bathymetry raw data extracted from mission logs. │ ├── FRAMES : output folder for georeferenced frames extracted from DCIM videos. │ ├── IA : destination folder for image recognition predictions. │ └── PHOTOGRAMMETRY : destination folder for reconstructed models in photogrammetry. └── SENSORS : folder to store files coming from other sources (bathymetry data from the echosounder, log file from the autopilot, mission plan etc.). Software All the raw data was processed using our worflow. All predictions were generated by our inference pipeline. You can find all the necessary scripts to download this data in this repository. Enjoy your data with SeatizenDOI!","url":"https://doi.org/10.5281/zenodo.15831000","authors":["Matteo Contini","Sylvain Bonhommeau","Serge Bernard","Julien Barde"],"tags":["Artificial Intelligence","Citizen Sciences","Computer Vision","Coral Reef","Coral Reef Habitat","Deep Learning","Drone","Ecology"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.15831000","addedAt":"2026-08-31T06:39:57.337Z","updatedAt":"2026-08-31T06:39:57.337Z"},{"id":"doi:10.5281/zenodo.15830981","name":"Aerial images collected by an Unmanned Aerial Vehicle in Tessier, Réunion - 2024-04-04","source":"datacite","abstract":"This dataset was collected by an Unmanned Aerial Vehicle in Tessier, Réunion - 2024-04-04. Underwater or aerial images collected by scientists or citizens can have a wide variety of use for science, management, or conservation. These images can be annotated and shared to train IA models which can in turn predict the objects on the images. We provide a set of tools (hardware and software) to collect marine data, predict species or habitat, and provide maps. This dataset is part of larger collection referencing numerous underwater and aerial images Seatizen Altas. Methods, tools and scientific objectives are also described in a dedicated data paper. Survey information Camera: Hasselblad L1D-20c Number of images: 786 Total size: 7.1 Gb Flight start: 2024:04:04 04:31:00 Flight end: 2024:04:04 05:05:23 Flight duration: 0h 34min 23sec Median height: 59.9 m Area covered: 11.96 a Photogrammetry OpenDroneMap software was used to create an orthophoto from the raw images. Here is the list of parameters different from the default values for the orthophoto generation. For more details, you can read the log.json file or the 000_photogrammatry_report.pdf report. {'auto_boundary': True, 'cog': True, 'fast_orthophoto': True, 'feature_quality': 'ultra', 'max_concurrency': 128, 'optimize_disk_space': True, 'orthophoto_resolution': 1.0, 'rolling_shutter': True, 'skip_3dmodel': True, 'use_exif': True} Generic folder structure YYYYMMDD_COUNTRYCODE-optionalplace_device_session-number ├── DCIM : folder to store videos and photos depending on the media collected. ├── GPS : folder to store any positioning related file. If any kind of correction is possible on files (e.g. Post-Processed Kinematic thanks to rinex data) then the distinction between device data and base data is made. If, on the other hand, only device position data are present and the files cannot be corrected by post-processing techniques (e.g. gpx files), then the distinction between base and device is not made and the files are placed directly at the root of the GPS folder. │ ├── BASE : files coming from rtk station or any static positioning instrument. │ └── DEVICE : files coming from the device. ├── METADATA : folder with general information files about the session. ├── PROCESSED_DATA : contain all the folders needed to store the results of the data processing of the current session. │ ├── BATHY : output folder for bathymetry raw data extracted from mission logs. │ ├── FRAMES : output folder for georeferenced frames extracted from DCIM videos. │ ├── IA : destination folder for image recognition predictions. │ └── PHOTOGRAMMETRY : destination folder for reconstructed models in photogrammetry. └── SENSORS : folder to store files coming from other sources (bathymetry data from the echosounder, log file from the autopilot, mission plan etc.). Software All the raw data was processed using our worflow. All predictions were generated by our inference pipeline. You can find all the necessary scripts to download this data in this repository. Enjoy your data with SeatizenDOI!","url":"https://doi.org/10.5281/zenodo.15830981","authors":["Matteo Contini","Sylvain Bonhommeau","Serge Bernard","Julien Barde"],"tags":["Artificial Intelligence","Citizen Sciences","Computer Vision","Coral Reef","Coral Reef Habitat","Deep Learning","Drone","Ecology"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.15830981","addedAt":"2026-08-31T06:39:57.337Z","updatedAt":"2026-08-31T06:39:57.337Z"},{"id":"doi:10.5281/zenodo.15830926","name":"Aerial images collected by an Unmanned Aerial Vehicle in Tessier, Réunion - 2024-04-04","source":"datacite","abstract":"This dataset was collected by an Unmanned Aerial Vehicle in Tessier, Réunion - 2024-04-04. Underwater or aerial images collected by scientists or citizens can have a wide variety of use for science, management, or conservation. These images can be annotated and shared to train IA models which can in turn predict the objects on the images. We provide a set of tools (hardware and software) to collect marine data, predict species or habitat, and provide maps. This dataset is part of larger collection referencing numerous underwater and aerial images Seatizen Altas. Methods, tools and scientific objectives are also described in a dedicated data paper. Survey information Camera: Hasselblad L1D-20c Number of images: 786 Total size: 7.1 Gb Flight start: 2024:04:04 04:31:00 Flight end: 2024:04:04 05:05:23 Flight duration: 0h 34min 23sec Median height: 59.9 m Area covered: 11.96 a Photogrammetry OpenDroneMap software was used to create an orthophoto from the raw images. Here is the list of parameters different from the default values for the orthophoto generation. For more details, you can read the log.json file or the 000_photogrammatry_report.pdf report. {'auto_boundary': True, 'cog': True, 'fast_orthophoto': True, 'feature_quality': 'ultra', 'max_concurrency': 128, 'optimize_disk_space': True, 'orthophoto_resolution': 1.0, 'rolling_shutter': True, 'skip_3dmodel': True, 'use_exif': True} Generic folder structure YYYYMMDD_COUNTRYCODE-optionalplace_device_session-number ├── DCIM : folder to store videos and photos depending on the media collected. ├── GPS : folder to store any positioning related file. If any kind of correction is possible on files (e.g. Post-Processed Kinematic thanks to rinex data) then the distinction between device data and base data is made. If, on the other hand, only device position data are present and the files cannot be corrected by post-processing techniques (e.g. gpx files), then the distinction between base and device is not made and the files are placed directly at the root of the GPS folder. │ ├── BASE : files coming from rtk station or any static positioning instrument. │ └── DEVICE : files coming from the device. ├── METADATA : folder with general information files about the session. ├── PROCESSED_DATA : contain all the folders needed to store the results of the data processing of the current session. │ ├── BATHY : output folder for bathymetry raw data extracted from mission logs. │ ├── FRAMES : output folder for georeferenced frames extracted from DCIM videos. │ ├── IA : destination folder for image recognition predictions. │ └── PHOTOGRAMMETRY : destination folder for reconstructed models in photogrammetry. └── SENSORS : folder to store files coming from other sources (bathymetry data from the echosounder, log file from the autopilot, mission plan etc.). Software All the raw data was processed using our worflow. All predictions were generated by our inference pipeline. You can find all the necessary scripts to download this data in this repository. Enjoy your data with SeatizenDOI!","url":"https://doi.org/10.5281/zenodo.15830926","authors":["Matteo Contini","Sylvain Bonhommeau","Serge Bernard","Julien Barde"],"tags":["Artificial Intelligence","Citizen Sciences","Computer Vision","Coral Reef","Coral Reef Habitat","Deep Learning","Drone","Ecology"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.15830926","addedAt":"2026-08-31T06:39:57.337Z","updatedAt":"2026-08-31T06:39:57.337Z"},{"id":"doi:10.5281/zenodo.15830927","name":"Aerial images collected by an Unmanned Aerial Vehicle in Tessier, Réunion - 2024-04-04","source":"datacite","abstract":"This dataset was collected by an Unmanned Aerial Vehicle in Tessier, Réunion - 2024-04-04. Underwater or aerial images collected by scientists or citizens can have a wide variety of use for science, management, or conservation. These images can be annotated and shared to train IA models which can in turn predict the objects on the images. We provide a set of tools (hardware and software) to collect marine data, predict species or habitat, and provide maps. This dataset is part of larger collection referencing numerous underwater and aerial images Seatizen Altas. Methods, tools and scientific objectives are also described in a dedicated data paper. Survey information Camera: Hasselblad L1D-20c Number of images: 786 Total size: 7.1 Gb Flight start: 2024:04:04 04:31:00 Flight end: 2024:04:04 05:05:23 Flight duration: 0h 34min 23sec Median height: 59.9 m Area covered: 11.96 a Generic folder structure YYYYMMDD_COUNTRYCODE-optionalplace_device_session-number ├── DCIM : folder to store videos and photos depending on the media collected. ├── GPS : folder to store any positioning related file. If any kind of correction is possible on files (e.g. Post-Processed Kinematic thanks to rinex data) then the distinction between device data and base data is made. If, on the other hand, only device position data are present and the files cannot be corrected by post-processing techniques (e.g. gpx files), then the distinction between base and device is not made and the files are placed directly at the root of the GPS folder. │ ├── BASE : files coming from rtk station or any static positioning instrument. │ └── DEVICE : files coming from the device. ├── METADATA : folder with general information files about the session. ├── PROCESSED_DATA : contain all the folders needed to store the results of the data processing of the current session. │ ├── BATHY : output folder for bathymetry raw data extracted from mission logs. │ ├── FRAMES : output folder for georeferenced frames extracted from DCIM videos. │ ├── IA : destination folder for image recognition predictions. │ └── PHOTOGRAMMETRY : destination folder for reconstructed models in photogrammetry. └── SENSORS : folder to store files coming from other sources (bathymetry data from the echosounder, log file from the autopilot, mission plan etc.). Software All the raw data was processed using our worflow. All predictions were generated by our inference pipeline. You can find all the necessary scripts to download this data in this repository. Enjoy your data with SeatizenDOI!","url":"https://doi.org/10.5281/zenodo.15830927","authors":["Matteo Contini","Sylvain Bonhommeau","Serge Bernard","Julien Barde"],"tags":["Artificial Intelligence","Citizen Sciences","Computer Vision","Coral Reef","Coral Reef Habitat","Deep Learning","Drone","Ecology"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.15830927","addedAt":"2026-08-31T06:39:57.337Z","updatedAt":"2026-08-31T06:39:57.337Z"},{"id":"doi:10.5281/zenodo.15830908","name":"Aerial images collected by an Unmanned Aerial Vehicle in St-Leu, Réunion - 2024-04-03","source":"datacite","abstract":"This dataset was collected by an Unmanned Aerial Vehicle in St-Leu, Réunion - 2024-04-03. Underwater or aerial images collected by scientists or citizens can have a wide variety of use for science, management, or conservation. These images can be annotated and shared to train IA models which can in turn predict the objects on the images. We provide a set of tools (hardware and software) to collect marine data, predict species or habitat, and provide maps. This dataset is part of larger collection referencing numerous underwater and aerial images Seatizen Altas. Methods, tools and scientific objectives are also described in a dedicated data paper. Survey information Camera: Hasselblad L1D-20c Number of images: 135 Total size: 1.2 Gb Flight start: 2024:04:03 06:10:45 Flight end: 2024:04:03 06:17:55 Flight duration: 0h 7min 10sec Median height: 49.9 m Area covered: 2.37 a Photogrammetry OpenDroneMap software was used to create an orthophoto from the raw images. Here is the list of parameters different from the default values for the orthophoto generation. For more details, you can read the log.json file or the 000_photogrammatry_report.pdf report. {'auto_boundary': True, 'cog': True, 'fast_orthophoto': True, 'feature_quality': 'ultra', 'max_concurrency': 128, 'optimize_disk_space': True, 'orthophoto_resolution': 1.0, 'rolling_shutter': True, 'skip_3dmodel': True, 'use_exif': True} Generic folder structure YYYYMMDD_COUNTRYCODE-optionalplace_device_session-number ├── DCIM : folder to store videos and photos depending on the media collected. ├── GPS : folder to store any positioning related file. If any kind of correction is possible on files (e.g. Post-Processed Kinematic thanks to rinex data) then the distinction between device data and base data is made. If, on the other hand, only device position data are present and the files cannot be corrected by post-processing techniques (e.g. gpx files), then the distinction between base and device is not made and the files are placed directly at the root of the GPS folder. │ ├── BASE : files coming from rtk station or any static positioning instrument. │ └── DEVICE : files coming from the device. ├── METADATA : folder with general information files about the session. ├── PROCESSED_DATA : contain all the folders needed to store the results of the data processing of the current session. │ ├── BATHY : output folder for bathymetry raw data extracted from mission logs. │ ├── FRAMES : output folder for georeferenced frames extracted from DCIM videos. │ ├── IA : destination folder for image recognition predictions. │ └── PHOTOGRAMMETRY : destination folder for reconstructed models in photogrammetry. └── SENSORS : folder to store files coming from other sources (bathymetry data from the echosounder, log file from the autopilot, mission plan etc.). Software All the raw data was processed using our worflow. All predictions were generated by our inference pipeline. You can find all the necessary scripts to download this data in this repository. Enjoy your data with SeatizenDOI!","url":"https://doi.org/10.5281/zenodo.15830908","authors":["Matteo Contini","Sylvain Bonhommeau","Serge Bernard","Julien Barde"],"tags":["Artificial Intelligence","Citizen Sciences","Computer Vision","Coral Reef","Coral Reef Habitat","Deep Learning","Drone","Ecology"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.15830908","addedAt":"2026-08-31T06:39:57.337Z","updatedAt":"2026-08-31T06:39:57.337Z"},{"id":"doi:10.5281/zenodo.15830897","name":"Aerial images collected by an Unmanned Aerial Vehicle in St-Leu, Réunion - 2024-04-03","source":"datacite","abstract":"This dataset was collected by an Unmanned Aerial Vehicle in St-Leu, Réunion - 2024-04-03. Underwater or aerial images collected by scientists or citizens can have a wide variety of use for science, management, or conservation. These images can be annotated and shared to train IA models which can in turn predict the objects on the images. We provide a set of tools (hardware and software) to collect marine data, predict species or habitat, and provide maps. This dataset is part of larger collection referencing numerous underwater and aerial images Seatizen Altas. Methods, tools and scientific objectives are also described in a dedicated data paper. Survey information Camera: Hasselblad L1D-20c Number of images: 135 Total size: 1.2 Gb Flight start: 2024:04:03 06:10:45 Flight end: 2024:04:03 06:17:55 Flight duration: 0h 7min 10sec Median height: 49.9 m Area covered: 2.37 a Photogrammetry OpenDroneMap software was used to create an orthophoto from the raw images. Here is the list of parameters different from the default values for the orthophoto generation. For more details, you can read the log.json file or the 000_photogrammatry_report.pdf report. {'auto_boundary': True, 'cog': True, 'fast_orthophoto': True, 'feature_quality': 'ultra', 'max_concurrency': 128, 'optimize_disk_space': True, 'orthophoto_resolution': 1.0, 'rolling_shutter': True, 'skip_3dmodel': True, 'use_exif': True} Generic folder structure YYYYMMDD_COUNTRYCODE-optionalplace_device_session-number ├── DCIM : folder to store videos and photos depending on the media collected. ├── GPS : folder to store any positioning related file. If any kind of correction is possible on files (e.g. Post-Processed Kinematic thanks to rinex data) then the distinction between device data and base data is made. If, on the other hand, only device position data are present and the files cannot be corrected by post-processing techniques (e.g. gpx files), then the distinction between base and device is not made and the files are placed directly at the root of the GPS folder. │ ├── BASE : files coming from rtk station or any static positioning instrument. │ └── DEVICE : files coming from the device. ├── METADATA : folder with general information files about the session. ├── PROCESSED_DATA : contain all the folders needed to store the results of the data processing of the current session. │ ├── BATHY : output folder for bathymetry raw data extracted from mission logs. │ ├── FRAMES : output folder for georeferenced frames extracted from DCIM videos. │ ├── IA : destination folder for image recognition predictions. │ └── PHOTOGRAMMETRY : destination folder for reconstructed models in photogrammetry. └── SENSORS : folder to store files coming from other sources (bathymetry data from the echosounder, log file from the autopilot, mission plan etc.). Software All the raw data was processed using our worflow. All predictions were generated by our inference pipeline. You can find all the necessary scripts to download this data in this repository. Enjoy your data with SeatizenDOI!","url":"https://doi.org/10.5281/zenodo.15830897","authors":["Matteo Contini","Sylvain Bonhommeau","Serge Bernard","Julien Barde"],"tags":["Artificial Intelligence","Citizen Sciences","Computer Vision","Coral Reef","Coral Reef Habitat","Deep Learning","Drone","Ecology"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.15830897","addedAt":"2026-08-31T06:39:57.337Z","updatedAt":"2026-08-31T06:39:57.337Z"},{"id":"doi:10.5281/zenodo.15830898","name":"Aerial images collected by an Unmanned Aerial Vehicle in St-Leu, Réunion - 2024-04-03","source":"datacite","abstract":"This dataset was collected by an Unmanned Aerial Vehicle in St-Leu, Réunion - 2024-04-03. Underwater or aerial images collected by scientists or citizens can have a wide variety of use for science, management, or conservation. These images can be annotated and shared to train IA models which can in turn predict the objects on the images. We provide a set of tools (hardware and software) to collect marine data, predict species or habitat, and provide maps. This dataset is part of larger collection referencing numerous underwater and aerial images Seatizen Altas. Methods, tools and scientific objectives are also described in a dedicated data paper. Survey information Camera: Hasselblad L1D-20c Number of images: 135 Total size: 1.2 Gb Flight start: 2024:04:03 06:10:45 Flight end: 2024:04:03 06:17:55 Flight duration: 0h 7min 10sec Median height: 49.9 m Area covered: 2.37 a Generic folder structure YYYYMMDD_COUNTRYCODE-optionalplace_device_session-number ├── DCIM : folder to store videos and photos depending on the media collected. ├── GPS : folder to store any positioning related file. If any kind of correction is possible on files (e.g. Post-Processed Kinematic thanks to rinex data) then the distinction between device data and base data is made. If, on the other hand, only device position data are present and the files cannot be corrected by post-processing techniques (e.g. gpx files), then the distinction between base and device is not made and the files are placed directly at the root of the GPS folder. │ ├── BASE : files coming from rtk station or any static positioning instrument. │ └── DEVICE : files coming from the device. ├── METADATA : folder with general information files about the session. ├── PROCESSED_DATA : contain all the folders needed to store the results of the data processing of the current session. │ ├── BATHY : output folder for bathymetry raw data extracted from mission logs. │ ├── FRAMES : output folder for georeferenced frames extracted from DCIM videos. │ ├── IA : destination folder for image recognition predictions. │ └── PHOTOGRAMMETRY : destination folder for reconstructed models in photogrammetry. └── SENSORS : folder to store files coming from other sources (bathymetry data from the echosounder, log file from the autopilot, mission plan etc.). Software All the raw data was processed using our worflow. All predictions were generated by our inference pipeline. You can find all the necessary scripts to download this data in this repository. Enjoy your data with SeatizenDOI!","url":"https://doi.org/10.5281/zenodo.15830898","authors":["Matteo Contini","Sylvain Bonhommeau","Serge Bernard","Julien Barde"],"tags":["Artificial Intelligence","Citizen Sciences","Computer Vision","Coral Reef","Coral Reef Habitat","Deep Learning","Drone","Ecology"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.15830898","addedAt":"2026-08-31T06:39:57.337Z","updatedAt":"2026-08-31T06:39:57.337Z"},{"id":"doi:10.5281/zenodo.15830870","name":"Aerial images collected by an Unmanned Aerial Vehicle in St-Leu, Réunion - 2024-04-03","source":"datacite","abstract":"This dataset was collected by an Unmanned Aerial Vehicle in St-Leu, Réunion - 2024-04-03. Underwater or aerial images collected by scientists or citizens can have a wide variety of use for science, management, or conservation. These images can be annotated and shared to train IA models which can in turn predict the objects on the images. We provide a set of tools (hardware and software) to collect marine data, predict species or habitat, and provide maps. This dataset is part of larger collection referencing numerous underwater and aerial images Seatizen Altas. Methods, tools and scientific objectives are also described in a dedicated data paper. Survey information Camera: Hasselblad L1D-20c Number of images: 591 Total size: 6.15 Gb Flight start: 2024:04:03 05:31:58 Flight end: 2024:04:03 06:00:15 Flight duration: 0h 28min 17sec Median height: 59.9 m Area covered: 7.25 a Photogrammetry OpenDroneMap software was used to create an orthophoto from the raw images. Here is the list of parameters different from the default values for the orthophoto generation. For more details, you can read the log.json file or the 000_photogrammatry_report.pdf report. {'auto_boundary': True, 'cog': True, 'fast_orthophoto': True, 'feature_quality': 'ultra', 'max_concurrency': 128, 'optimize_disk_space': True, 'orthophoto_resolution': 1.0, 'rolling_shutter': True, 'skip_3dmodel': True, 'use_exif': True} Generic folder structure YYYYMMDD_COUNTRYCODE-optionalplace_device_session-number ├── DCIM : folder to store videos and photos depending on the media collected. ├── GPS : folder to store any positioning related file. If any kind of correction is possible on files (e.g. Post-Processed Kinematic thanks to rinex data) then the distinction between device data and base data is made. If, on the other hand, only device position data are present and the files cannot be corrected by post-processing techniques (e.g. gpx files), then the distinction between base and device is not made and the files are placed directly at the root of the GPS folder. │ ├── BASE : files coming from rtk station or any static positioning instrument. │ └── DEVICE : files coming from the device. ├── METADATA : folder with general information files about the session. ├── PROCESSED_DATA : contain all the folders needed to store the results of the data processing of the current session. │ ├── BATHY : output folder for bathymetry raw data extracted from mission logs. │ ├── FRAMES : output folder for georeferenced frames extracted from DCIM videos. │ ├── IA : destination folder for image recognition predictions. │ └── PHOTOGRAMMETRY : destination folder for reconstructed models in photogrammetry. └── SENSORS : folder to store files coming from other sources (bathymetry data from the echosounder, log file from the autopilot, mission plan etc.). Software All the raw data was processed using our worflow. All predictions were generated by our inference pipeline. You can find all the necessary scripts to download this data in this repository. Enjoy your data with SeatizenDOI!","url":"https://doi.org/10.5281/zenodo.15830870","authors":["Matteo Contini","Sylvain Bonhommeau","Serge Bernard","Julien Barde"],"tags":["Artificial Intelligence","Citizen Sciences","Computer Vision","Coral Reef","Coral Reef Habitat","Deep Learning","Drone","Ecology"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.15830870","addedAt":"2026-08-31T06:39:57.337Z","updatedAt":"2026-08-31T06:39:57.337Z"},{"id":"doi:10.5281/zenodo.15830769","name":"Aerial images collected by an Unmanned Aerial Vehicle in St-Leu, Réunion - 2024-04-03","source":"datacite","abstract":"This dataset was collected by an Unmanned Aerial Vehicle in St-Leu, Réunion - 2024-04-03. Underwater or aerial images collected by scientists or citizens can have a wide variety of use for science, management, or conservation. These images can be annotated and shared to train IA models which can in turn predict the objects on the images. We provide a set of tools (hardware and software) to collect marine data, predict species or habitat, and provide maps. This dataset is part of larger collection referencing numerous underwater and aerial images Seatizen Altas. Methods, tools and scientific objectives are also described in a dedicated data paper. Survey information Camera: Hasselblad L1D-20c Number of images: 591 Total size: 6.15 Gb Flight start: 2024:04:03 05:31:58 Flight end: 2024:04:03 06:00:15 Flight duration: 0h 28min 17sec Median height: 59.9 m Area covered: 7.25 a Photogrammetry OpenDroneMap software was used to create an orthophoto from the raw images. Here is the list of parameters different from the default values for the orthophoto generation. For more details, you can read the log.json file or the 000_photogrammatry_report.pdf report. {'auto_boundary': True, 'cog': True, 'fast_orthophoto': True, 'feature_quality': 'ultra', 'max_concurrency': 128, 'optimize_disk_space': True, 'orthophoto_resolution': 1.0, 'rolling_shutter': True, 'skip_3dmodel': True, 'use_exif': True} Generic folder structure YYYYMMDD_COUNTRYCODE-optionalplace_device_session-number ├── DCIM : folder to store videos and photos depending on the media collected. ├── GPS : folder to store any positioning related file. If any kind of correction is possible on files (e.g. Post-Processed Kinematic thanks to rinex data) then the distinction between device data and base data is made. If, on the other hand, only device position data are present and the files cannot be corrected by post-processing techniques (e.g. gpx files), then the distinction between base and device is not made and the files are placed directly at the root of the GPS folder. │ ├── BASE : files coming from rtk station or any static positioning instrument. │ └── DEVICE : files coming from the device. ├── METADATA : folder with general information files about the session. ├── PROCESSED_DATA : contain all the folders needed to store the results of the data processing of the current session. │ ├── BATHY : output folder for bathymetry raw data extracted from mission logs. │ ├── FRAMES : output folder for georeferenced frames extracted from DCIM videos. │ ├── IA : destination folder for image recognition predictions. │ └── PHOTOGRAMMETRY : destination folder for reconstructed models in photogrammetry. └── SENSORS : folder to store files coming from other sources (bathymetry data from the echosounder, log file from the autopilot, mission plan etc.). Software All the raw data was processed using our worflow. All predictions were generated by our inference pipeline. You can find all the necessary scripts to download this data in this repository. Enjoy your data with SeatizenDOI!","url":"https://doi.org/10.5281/zenodo.15830769","authors":["Matteo Contini","Sylvain Bonhommeau","Serge Bernard","Julien Barde"],"tags":["Artificial Intelligence","Citizen Sciences","Computer Vision","Coral Reef","Coral Reef Habitat","Deep Learning","Drone","Ecology"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.15830769","addedAt":"2026-08-31T06:39:57.337Z","updatedAt":"2026-08-31T06:39:57.337Z"},{"id":"doi:10.5281/zenodo.15830770","name":"Aerial images collected by an Unmanned Aerial Vehicle in St-Leu, Réunion - 2024-04-03","source":"datacite","abstract":"This dataset was collected by an Unmanned Aerial Vehicle in St-Leu, Réunion - 2024-04-03. Underwater or aerial images collected by scientists or citizens can have a wide variety of use for science, management, or conservation. These images can be annotated and shared to train IA models which can in turn predict the objects on the images. We provide a set of tools (hardware and software) to collect marine data, predict species or habitat, and provide maps. This dataset is part of larger collection referencing numerous underwater and aerial images Seatizen Altas. Methods, tools and scientific objectives are also described in a dedicated data paper. Survey information Camera: Hasselblad L1D-20c Number of images: 591 Total size: 6.15 Gb Flight start: 2024:04:03 05:31:58 Flight end: 2024:04:03 06:00:15 Flight duration: 0h 28min 17sec Median height: 59.9 m Area covered: 7.25 a Generic folder structure YYYYMMDD_COUNTRYCODE-optionalplace_device_session-number ├── DCIM : folder to store videos and photos depending on the media collected. ├── GPS : folder to store any positioning related file. If any kind of correction is possible on files (e.g. Post-Processed Kinematic thanks to rinex data) then the distinction between device data and base data is made. If, on the other hand, only device position data are present and the files cannot be corrected by post-processing techniques (e.g. gpx files), then the distinction between base and device is not made and the files are placed directly at the root of the GPS folder. │ ├── BASE : files coming from rtk station or any static positioning instrument. │ └── DEVICE : files coming from the device. ├── METADATA : folder with general information files about the session. ├── PROCESSED_DATA : contain all the folders needed to store the results of the data processing of the current session. │ ├── BATHY : output folder for bathymetry raw data extracted from mission logs. │ ├── FRAMES : output folder for georeferenced frames extracted from DCIM videos. │ ├── IA : destination folder for image recognition predictions. │ └── PHOTOGRAMMETRY : destination folder for reconstructed models in photogrammetry. └── SENSORS : folder to store files coming from other sources (bathymetry data from the echosounder, log file from the autopilot, mission plan etc.). Software All the raw data was processed using our worflow. All predictions were generated by our inference pipeline. You can find all the necessary scripts to download this data in this repository. Enjoy your data with SeatizenDOI!","url":"https://doi.org/10.5281/zenodo.15830770","authors":["Matteo Contini","Sylvain Bonhommeau","Serge Bernard","Julien Barde"],"tags":["Artificial Intelligence","Citizen Sciences","Computer Vision","Coral Reef","Coral Reef Habitat","Deep Learning","Drone","Ecology"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.15830770","addedAt":"2026-08-31T06:39:57.337Z","updatedAt":"2026-08-31T06:39:57.337Z"},{"id":"doi:10.5281/zenodo.15830715","name":"Aerial images collected by an Unmanned Aerial Vehicle in St-Leu, Réunion - 2024-04-03","source":"datacite","abstract":"This dataset was collected by an Unmanned Aerial Vehicle in St-Leu, Réunion - 2024-04-03. Underwater or aerial images collected by scientists or citizens can have a wide variety of use for science, management, or conservation. These images can be annotated and shared to train IA models which can in turn predict the objects on the images. We provide a set of tools (hardware and software) to collect marine data, predict species or habitat, and provide maps. This dataset is part of larger collection referencing numerous underwater and aerial images Seatizen Altas. Methods, tools and scientific objectives are also described in a dedicated data paper. Survey information Camera: Hasselblad L1D-20c Number of images: 336 Total size: 3.39 Gb Flight start: 2024:04:03 05:05:58 Flight end: 2024:04:03 05:19:44 Flight duration: 0h 13min 46sec Median height: 59.9 m Area covered: 3.31 a Photogrammetry OpenDroneMap software was used to create an orthophoto from the raw images. Here is the list of parameters different from the default values for the orthophoto generation. For more details, you can read the log.json file or the 000_photogrammatry_report.pdf report. {'auto_boundary': True, 'cog': True, 'fast_orthophoto': True, 'feature_quality': 'ultra', 'max_concurrency': 128, 'optimize_disk_space': True, 'orthophoto_resolution': 1.0, 'rolling_shutter': True, 'skip_3dmodel': True, 'use_exif': True} Generic folder structure YYYYMMDD_COUNTRYCODE-optionalplace_device_session-number ├── DCIM : folder to store videos and photos depending on the media collected. ├── GPS : folder to store any positioning related file. If any kind of correction is possible on files (e.g. Post-Processed Kinematic thanks to rinex data) then the distinction between device data and base data is made. If, on the other hand, only device position data are present and the files cannot be corrected by post-processing techniques (e.g. gpx files), then the distinction between base and device is not made and the files are placed directly at the root of the GPS folder. │ ├── BASE : files coming from rtk station or any static positioning instrument. │ └── DEVICE : files coming from the device. ├── METADATA : folder with general information files about the session. ├── PROCESSED_DATA : contain all the folders needed to store the results of the data processing of the current session. │ ├── BATHY : output folder for bathymetry raw data extracted from mission logs. │ ├── FRAMES : output folder for georeferenced frames extracted from DCIM videos. │ ├── IA : destination folder for image recognition predictions. │ └── PHOTOGRAMMETRY : destination folder for reconstructed models in photogrammetry. └── SENSORS : folder to store files coming from other sources (bathymetry data from the echosounder, log file from the autopilot, mission plan etc.). Software All the raw data was processed using our worflow. All predictions were generated by our inference pipeline. You can find all the necessary scripts to download this data in this repository. Enjoy your data with SeatizenDOI!","url":"https://doi.org/10.5281/zenodo.15830715","authors":["Matteo Contini","Sylvain Bonhommeau","Serge Bernard","Julien Barde"],"tags":["Artificial Intelligence","Citizen Sciences","Computer Vision","Coral Reef","Coral Reef Habitat","Deep Learning","Drone","Ecology"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.15830715","addedAt":"2026-08-31T06:39:57.337Z","updatedAt":"2026-08-31T06:39:57.337Z"},{"id":"doi:10.5281/zenodo.15830743","name":"Aerial images collected by an Unmanned Aerial Vehicle in St-Leu, Réunion - 2024-04-03","source":"datacite","abstract":"This dataset was collected by an Unmanned Aerial Vehicle in St-Leu, Réunion - 2024-04-03. Underwater or aerial images collected by scientists or citizens can have a wide variety of use for science, management, or conservation. These images can be annotated and shared to train IA models which can in turn predict the objects on the images. We provide a set of tools (hardware and software) to collect marine data, predict species or habitat, and provide maps. This dataset is part of larger collection referencing numerous underwater and aerial images Seatizen Altas. Methods, tools and scientific objectives are also described in a dedicated data paper. Survey information Camera: Hasselblad L1D-20c Number of images: 336 Total size: 3.39 Gb Flight start: 2024:04:03 05:05:58 Flight end: 2024:04:03 05:19:44 Flight duration: 0h 13min 46sec Median height: 59.9 m Area covered: 3.31 a Photogrammetry OpenDroneMap software was used to create an orthophoto from the raw images. Here is the list of parameters different from the default values for the orthophoto generation. For more details, you can read the log.json file or the 000_photogrammatry_report.pdf report. {'auto_boundary': True, 'cog': True, 'fast_orthophoto': True, 'feature_quality': 'ultra', 'max_concurrency': 128, 'optimize_disk_space': True, 'orthophoto_resolution': 1.0, 'rolling_shutter': True, 'skip_3dmodel': True, 'use_exif': True} Generic folder structure YYYYMMDD_COUNTRYCODE-optionalplace_device_session-number ├── DCIM : folder to store videos and photos depending on the media collected. ├── GPS : folder to store any positioning related file. If any kind of correction is possible on files (e.g. Post-Processed Kinematic thanks to rinex data) then the distinction between device data and base data is made. If, on the other hand, only device position data are present and the files cannot be corrected by post-processing techniques (e.g. gpx files), then the distinction between base and device is not made and the files are placed directly at the root of the GPS folder. │ ├── BASE : files coming from rtk station or any static positioning instrument. │ └── DEVICE : files coming from the device. ├── METADATA : folder with general information files about the session. ├── PROCESSED_DATA : contain all the folders needed to store the results of the data processing of the current session. │ ├── BATHY : output folder for bathymetry raw data extracted from mission logs. │ ├── FRAMES : output folder for georeferenced frames extracted from DCIM videos. │ ├── IA : destination folder for image recognition predictions. │ └── PHOTOGRAMMETRY : destination folder for reconstructed models in photogrammetry. └── SENSORS : folder to store files coming from other sources (bathymetry data from the echosounder, log file from the autopilot, mission plan etc.). Software All the raw data was processed using our worflow. All predictions were generated by our inference pipeline. You can find all the necessary scripts to download this data in this repository. Enjoy your data with SeatizenDOI!","url":"https://doi.org/10.5281/zenodo.15830743","authors":["Matteo Contini","Sylvain Bonhommeau","Serge Bernard","Julien Barde"],"tags":["Artificial Intelligence","Citizen Sciences","Computer Vision","Coral Reef","Coral Reef Habitat","Deep Learning","Drone","Ecology"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.15830743","addedAt":"2026-08-31T06:39:57.337Z","updatedAt":"2026-08-31T06:39:57.337Z"},{"id":"doi:10.5281/zenodo.15830716","name":"Aerial images collected by an Unmanned Aerial Vehicle in St-Leu, Réunion - 2024-04-03","source":"datacite","abstract":"This dataset was collected by an Unmanned Aerial Vehicle in St-Leu, Réunion - 2024-04-03. Underwater or aerial images collected by scientists or citizens can have a wide variety of use for science, management, or conservation. These images can be annotated and shared to train IA models which can in turn predict the objects on the images. We provide a set of tools (hardware and software) to collect marine data, predict species or habitat, and provide maps. This dataset is part of larger collection referencing numerous underwater and aerial images Seatizen Altas. Methods, tools and scientific objectives are also described in a dedicated data paper. Survey information Camera: Hasselblad L1D-20c Number of images: 336 Total size: 3.39 Gb Flight start: 2024:04:03 05:05:58 Flight end: 2024:04:03 05:19:44 Flight duration: 0h 13min 46sec Median height: 59.9 m Area covered: 3.31 a Generic folder structure YYYYMMDD_COUNTRYCODE-optionalplace_device_session-number ├── DCIM : folder to store videos and photos depending on the media collected. ├── GPS : folder to store any positioning related file. If any kind of correction is possible on files (e.g. Post-Processed Kinematic thanks to rinex data) then the distinction between device data and base data is made. If, on the other hand, only device position data are present and the files cannot be corrected by post-processing techniques (e.g. gpx files), then the distinction between base and device is not made and the files are placed directly at the root of the GPS folder. │ ├── BASE : files coming from rtk station or any static positioning instrument. │ └── DEVICE : files coming from the device. ├── METADATA : folder with general information files about the session. ├── PROCESSED_DATA : contain all the folders needed to store the results of the data processing of the current session. │ ├── BATHY : output folder for bathymetry raw data extracted from mission logs. │ ├── FRAMES : output folder for georeferenced frames extracted from DCIM videos. │ ├── IA : destination folder for image recognition predictions. │ └── PHOTOGRAMMETRY : destination folder for reconstructed models in photogrammetry. └── SENSORS : folder to store files coming from other sources (bathymetry data from the echosounder, log file from the autopilot, mission plan etc.). Software All the raw data was processed using our worflow. All predictions were generated by our inference pipeline. You can find all the necessary scripts to download this data in this repository. Enjoy your data with SeatizenDOI!","url":"https://doi.org/10.5281/zenodo.15830716","authors":["Matteo Contini","Sylvain Bonhommeau","Serge Bernard","Julien Barde"],"tags":["Artificial Intelligence","Citizen Sciences","Computer Vision","Coral Reef","Coral Reef Habitat","Deep Learning","Drone","Ecology"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.15830716","addedAt":"2026-08-31T06:39:57.337Z","updatedAt":"2026-08-31T06:39:57.337Z"},{"id":"doi:10.5281/zenodo.15830697","name":"Aerial images collected by an Unmanned Aerial Vehicle in St-Leu, Réunion - 2024-04-03","source":"datacite","abstract":"This dataset was collected by an Unmanned Aerial Vehicle in St-Leu, Réunion - 2024-04-03. Underwater or aerial images collected by scientists or citizens can have a wide variety of use for science, management, or conservation. These images can be annotated and shared to train IA models which can in turn predict the objects on the images. We provide a set of tools (hardware and software) to collect marine data, predict species or habitat, and provide maps. This dataset is part of larger collection referencing numerous underwater and aerial images Seatizen Altas. Methods, tools and scientific objectives are also described in a dedicated data paper. Survey information Camera: Hasselblad L1D-20c Number of images: 436 Total size: 4.03 Gb Flight start: 2024:04:03 04:20:48 Flight end: 2024:04:03 04:51:29 Flight duration: 0h 30min 41sec Median height: 59.9 m Area covered: 6.15 a Photogrammetry OpenDroneMap software was used to create an orthophoto from the raw images. Here is the list of parameters different from the default values for the orthophoto generation. For more details, you can read the log.json file or the 000_photogrammatry_report.pdf report. {'auto_boundary': True, 'cog': True, 'fast_orthophoto': True, 'feature_quality': 'ultra', 'max_concurrency': 128, 'optimize_disk_space': True, 'orthophoto_resolution': 1.0, 'rolling_shutter': True, 'skip_3dmodel': True, 'use_exif': True} Generic folder structure YYYYMMDD_COUNTRYCODE-optionalplace_device_session-number ├── DCIM : folder to store videos and photos depending on the media collected. ├── GPS : folder to store any positioning related file. If any kind of correction is possible on files (e.g. Post-Processed Kinematic thanks to rinex data) then the distinction between device data and base data is made. If, on the other hand, only device position data are present and the files cannot be corrected by post-processing techniques (e.g. gpx files), then the distinction between base and device is not made and the files are placed directly at the root of the GPS folder. │ ├── BASE : files coming from rtk station or any static positioning instrument. │ └── DEVICE : files coming from the device. ├── METADATA : folder with general information files about the session. ├── PROCESSED_DATA : contain all the folders needed to store the results of the data processing of the current session. │ ├── BATHY : output folder for bathymetry raw data extracted from mission logs. │ ├── FRAMES : output folder for georeferenced frames extracted from DCIM videos. │ ├── IA : destination folder for image recognition predictions. │ └── PHOTOGRAMMETRY : destination folder for reconstructed models in photogrammetry. └── SENSORS : folder to store files coming from other sources (bathymetry data from the echosounder, log file from the autopilot, mission plan etc.). Software All the raw data was processed using our worflow. All predictions were generated by our inference pipeline. You can find all the necessary scripts to download this data in this repository. Enjoy your data with SeatizenDOI!","url":"https://doi.org/10.5281/zenodo.15830697","authors":["Matteo Contini","Sylvain Bonhommeau","Serge Bernard","Julien Barde"],"tags":["Artificial Intelligence","Citizen Sciences","Computer Vision","Coral Reef","Coral Reef Habitat","Deep Learning","Drone","Ecology"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.15830697","addedAt":"2026-08-31T06:39:57.337Z","updatedAt":"2026-08-31T06:39:57.337Z"},{"id":"doi:10.5281/zenodo.15830660","name":"Aerial images collected by an Unmanned Aerial Vehicle in St-Leu, Réunion - 2024-04-03","source":"datacite","abstract":"This dataset was collected by an Unmanned Aerial Vehicle in St-Leu, Réunion - 2024-04-03. Underwater or aerial images collected by scientists or citizens can have a wide variety of use for science, management, or conservation. These images can be annotated and shared to train IA models which can in turn predict the objects on the images. We provide a set of tools (hardware and software) to collect marine data, predict species or habitat, and provide maps. This dataset is part of larger collection referencing numerous underwater and aerial images Seatizen Altas. Methods, tools and scientific objectives are also described in a dedicated data paper. Survey information Camera: Hasselblad L1D-20c Number of images: 436 Total size: 4.03 Gb Flight start: 2024:04:03 04:20:48 Flight end: 2024:04:03 04:51:29 Flight duration: 0h 30min 41sec Median height: 59.9 m Area covered: 6.15 a Photogrammetry OpenDroneMap software was used to create an orthophoto from the raw images. Here is the list of parameters different from the default values for the orthophoto generation. For more details, you can read the log.json file or the 000_photogrammatry_report.pdf report. {'auto_boundary': True, 'cog': True, 'fast_orthophoto': True, 'feature_quality': 'ultra', 'max_concurrency': 128, 'optimize_disk_space': True, 'orthophoto_resolution': 1.0, 'rolling_shutter': True, 'skip_3dmodel': True, 'use_exif': True} Generic folder structure YYYYMMDD_COUNTRYCODE-optionalplace_device_session-number ├── DCIM : folder to store videos and photos depending on the media collected. ├── GPS : folder to store any positioning related file. If any kind of correction is possible on files (e.g. Post-Processed Kinematic thanks to rinex data) then the distinction between device data and base data is made. If, on the other hand, only device position data are present and the files cannot be corrected by post-processing techniques (e.g. gpx files), then the distinction between base and device is not made and the files are placed directly at the root of the GPS folder. │ ├── BASE : files coming from rtk station or any static positioning instrument. │ └── DEVICE : files coming from the device. ├── METADATA : folder with general information files about the session. ├── PROCESSED_DATA : contain all the folders needed to store the results of the data processing of the current session. │ ├── BATHY : output folder for bathymetry raw data extracted from mission logs. │ ├── FRAMES : output folder for georeferenced frames extracted from DCIM videos. │ ├── IA : destination folder for image recognition predictions. │ └── PHOTOGRAMMETRY : destination folder for reconstructed models in photogrammetry. └── SENSORS : folder to store files coming from other sources (bathymetry data from the echosounder, log file from the autopilot, mission plan etc.). Software All the raw data was processed using our worflow. All predictions were generated by our inference pipeline. You can find all the necessary scripts to download this data in this repository. Enjoy your data with SeatizenDOI!","url":"https://doi.org/10.5281/zenodo.15830660","authors":["Matteo Contini","Sylvain Bonhommeau","Serge Bernard","Julien Barde"],"tags":["Artificial Intelligence","Citizen Sciences","Computer Vision","Coral Reef","Coral Reef Habitat","Deep Learning","Drone","Ecology"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.15830660","addedAt":"2026-08-31T06:39:57.337Z","updatedAt":"2026-08-31T06:39:57.337Z"},{"id":"doi:10.5281/zenodo.15830661","name":"Aerial images collected by an Unmanned Aerial Vehicle in St-Leu, Réunion - 2024-04-03","source":"datacite","abstract":"This dataset was collected by an Unmanned Aerial Vehicle in St-Leu, Réunion - 2024-04-03. Underwater or aerial images collected by scientists or citizens can have a wide variety of use for science, management, or conservation. These images can be annotated and shared to train IA models which can in turn predict the objects on the images. We provide a set of tools (hardware and software) to collect marine data, predict species or habitat, and provide maps. This dataset is part of larger collection referencing numerous underwater and aerial images Seatizen Altas. Methods, tools and scientific objectives are also described in a dedicated data paper. Survey information Camera: Hasselblad L1D-20c Number of images: 436 Total size: 4.03 Gb Flight start: 2024:04:03 04:20:48 Flight end: 2024:04:03 04:51:29 Flight duration: 0h 30min 41sec Median height: 59.9 m Area covered: 6.15 a Generic folder structure YYYYMMDD_COUNTRYCODE-optionalplace_device_session-number ├── DCIM : folder to store videos and photos depending on the media collected. ├── GPS : folder to store any positioning related file. If any kind of correction is possible on files (e.g. Post-Processed Kinematic thanks to rinex data) then the distinction between device data and base data is made. If, on the other hand, only device position data are present and the files cannot be corrected by post-processing techniques (e.g. gpx files), then the distinction between base and device is not made and the files are placed directly at the root of the GPS folder. │ ├── BASE : files coming from rtk station or any static positioning instrument. │ └── DEVICE : files coming from the device. ├── METADATA : folder with general information files about the session. ├── PROCESSED_DATA : contain all the folders needed to store the results of the data processing of the current session. │ ├── BATHY : output folder for bathymetry raw data extracted from mission logs. │ ├── FRAMES : output folder for georeferenced frames extracted from DCIM videos. │ ├── IA : destination folder for image recognition predictions. │ └── PHOTOGRAMMETRY : destination folder for reconstructed models in photogrammetry. └── SENSORS : folder to store files coming from other sources (bathymetry data from the echosounder, log file from the autopilot, mission plan etc.). Software All the raw data was processed using our worflow. All predictions were generated by our inference pipeline. You can find all the necessary scripts to download this data in this repository. Enjoy your data with SeatizenDOI!","url":"https://doi.org/10.5281/zenodo.15830661","authors":["Matteo Contini","Sylvain Bonhommeau","Serge Bernard","Julien Barde"],"tags":["Artificial Intelligence","Citizen Sciences","Computer Vision","Coral Reef","Coral Reef Habitat","Deep Learning","Drone","Ecology"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.15830661","addedAt":"2026-08-31T06:39:57.337Z","updatedAt":"2026-08-31T06:39:57.337Z"},{"id":"doi:10.5281/zenodo.15297383","name":"Hyperspectral Drone Imagery: Bare Soil Fields","source":"datacite","abstract":"This dataset contains two georeferenced tiff images derived from drone-based hyperspectral imaging over bare soil agricultural fields. The data was collected on September 20, 2024, using an unmanned aerial vehicle (UAV) equipped with a hyperspectral sensor capturing six specific near-infrared bands: 705nm, 740nm, 783nm, 842nm, 865nm, and 945nm. The raw sensor data underwent processing using OpenDroneMap software for image stitching, followed by georeferencing correction to ensure spatial accuracy. The resulting tiff files contain digital numbers (DN values) for each spectral band.This dataset may be valuable for agricultural research, soil property analysis, remote sensing development, and related environmental monitoring applications.","url":"https://doi.org/10.5281/zenodo.15297383","authors":["Berkvens, Nick","Bauwens, Jan","Chalazas, Theodorus","Van Beek, Jonathan","Callens, Bert","Van Gehuchten, Aaron","Coppens, Tuna","Kokka, Alexander"],"tags":["Hyperspectral Imaging","Agriculture","Drones","Precision farrming","Bare soil","Remote sensing","Soil science"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.15297383","addedAt":"2026-08-31T06:39:57.337Z","updatedAt":"2026-08-31T06:39:57.337Z"},{"id":"doi:10.5281/zenodo.15642013","name":"High-resolution UAV Orthomosaic, Point Cloud and DSM Dataset - Oil Spill Cleanup Site (Mackenzie River), NWT, CA 5 cm GSD [2022, 2024]","source":"datacite","abstract":"This dataset provides high-resolution Unmanned Aerial Vehicle (UAV) data from a site along the Peel Channel of the Mackenzie River, Northwest Territories, Canada. The data was collected on two separate dates, September 18, 2022 (490 images), and September 18, 2024 (270 images), offering a multi-temporal view of substantial surface changes. For both years, the dataset includes a dense point cloud, a Digital Surface Model (DSM), and a high-resolution orthomosaic. The 2022 data captures the site in a relatively undisturbed state. In contrast, the 2024 data documents the area during a period of extensive ground disturbance and on-site industrial activity, including the presence of heavy machinery and temporary structures. This data was acquired as part of the \"UndercoverEisAgenten\" citizen science project. This multi-year dataset is valuable for applications in environmental monitoring, change detection, and the study of landscape alterations resulting from industrial or remediation activities in Arctic regions. The data was processed using Agisoft Metashape Professional.","url":"https://doi.org/10.5281/zenodo.15642013","authors":["Mueller, Marlin M.","Thiel, Christian","Adam, Markus","Kaiser, Soraya","Lenz, Josefine","Langer, Moritz","Fritz, Oliver","Marx, Sabrina"],"tags":["Digital Surface Model (DSM)","Orthomosaic","Point Cloud","Permafrost","Canada","Northwest Territories","Drone","UAV"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.15642013","addedAt":"2026-08-31T06:39:57.337Z","updatedAt":"2026-08-31T06:39:57.337Z"},{"id":"doi:10.5281/zenodo.15642012","name":"High-resolution UAV Orthomosaic, Point Cloud and DSM Dataset - Oil Spill Cleanup Site (Mackenzie River), NWT, CA 5 cm GSD [2022, 2024]","source":"datacite","abstract":"This dataset provides high-resolution Unmanned Aerial Vehicle (UAV) data from a site along the Peel Channel of the Mackenzie River, Northwest Territories, Canada. The data was collected on two separate dates, September 18, 2022 (490 images), and September 18, 2024 (270 images), offering a multi-temporal view of substantial surface changes. For both years, the dataset includes a dense point cloud, a Digital Surface Model (DSM), and a high-resolution orthomosaic. The 2022 data captures the site in a relatively undisturbed state. In contrast, the 2024 data documents the area during a period of extensive ground disturbance and on-site industrial activity, including the presence of heavy machinery and temporary structures. This data was acquired as part of the \"UndercoverEisAgenten\" citizen science project. This multi-year dataset is valuable for applications in environmental monitoring, change detection, and the study of landscape alterations resulting from industrial or remediation activities in Arctic regions. The data was processed using Agisoft Metashape Professional.","url":"https://doi.org/10.5281/zenodo.15642012","authors":["Mueller, Marlin M.","Thiel, Christian","Adam, Markus","Kaiser, Soraya","Lenz, Josefine","Langer, Moritz","Fritz, Oliver","Marx, Sabrina"],"tags":["Digital Surface Model (DSM)","Orthomosaic","Point Cloud","Permafrost","Canada","Northwest Territories","Drone","UAV"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.15642012","addedAt":"2026-08-31T06:39:57.337Z","updatedAt":"2026-08-31T06:39:57.337Z"},{"id":"doi:10.18739/a2pg1hq5m","name":"Ice thickness and surface elevation survey of Teshekpuk Lake in northern Alaska during late winter 2024","source":"datacite","abstract":"At 850 square kilometers (km2), freshwater Teshekpuk Lake stands out among abundant thermokarst lakes of the Arctic Coastal Plain of northern Alaska. Its size, latitude, and proximity to the Beaufort Sea coast make long (&gt;9 months) seasonal ice-cover its dominant regime, which likely plays a role in the regions value in waterbird and caribou habitat. Despite these important characteristics related to ice regime, little scientific attention has been given to this lentic system. Extensive ice thickness and snow depth surveys conducted using ice penetrating radar and Unmanned Aerial Vehicle (UAV) imaging in April 2024 is helping us understand surface patterns across this massive lake in relation to winter wind-fetch, pressure ridges, and bathymetry. Data are organized by ground-penetrating radar transects summarized at 10-meter (m) increments of ice thickness with calibration ice thickness and snow depth measurements collected at transect endpoints. Drone (UAS) surveys with real-time kinematic elevation base-station corrections were made along portions of these transects and opus-corrected structure-for-motion digital elevation models were used to estimate surface elevations. These data are primarily intended to severe as calibration and validation data for the new Surface Water and Ocean Topography (SWOT) mission and similar remote sensing applications, but also provide an opportunity to understand ice and snow variability and the formation and impact of pressure ridges and lake bathymetry in this unusually large arctic lake. During this survey, water samples were also collected for environmental DNA analysis to assess fish community presence and these will be reported elsewhere.","url":"https://doi.org/10.18739/a2pg1hq5m","authors":["Arp, Christopher","Bondurant, Allen","Drew, Katie"],"tags":["Alaska","Arctic","ice","snow","freshwater lake"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.18739/a2pg1hq5m","addedAt":"2026-08-31T06:39:57.337Z","updatedAt":"2026-08-31T06:39:57.337Z"},{"id":"doi:10.18739/a2ff3m224","name":"Lightweight Airborne Snow and Sea Ice Thickness Observing System LASSITOS data repository, Utqiagvik, Alaska, USA, April 2024","source":"datacite","abstract":"Measuring sea ice thickness and snow cover depth is fundamental for understanding and monitoring the evolution of the sea ice cover in the transforming polar environment. Moreover, sea ice and snow depth are also relevant for various human activities in polar regions including ice road transportation, marine navigation engineering, and research. Within the Long-range Airborne Snow and Sea Ice Thickness Observing System (LASSITOS) project, we developed a sensor system for measuring sea ice and snow thickness from an unmanned aerial vehicle (UAV). The combined thickness of sea ice plus its snow cover is measured with the LASSITOS EM (LEM), a multifrequency electromagnetic sounding sensor. The snow depth over sea ice is measured with the LASSITOS Snow Radar (LSR). The sea ice thickness is derived by combining the two instruments. This repository contains the data collected during the validation field campaign on and-fast ice in Utqiagvik, Alaska in April 2024.","url":"https://doi.org/10.18739/a2ff3m224","authors":["Mahoney, Andy","Capelli, Achille"],"tags":["Sea Ice","Thickness","Snow","Water Depth","Freeboard","LASSITOS","EM","airborne"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.18739/a2ff3m224","addedAt":"2026-08-31T06:39:57.337Z","updatedAt":"2026-08-31T06:39:57.337Z"},{"id":"doi:10.18739/a29z90d9r","name":"Permafrost and Environmental Monitoring in 2023 and 2024 at the Teshekpuk Lake Observatory, Northern Alaska","source":"datacite","abstract":"This dataset consists of monitoring data of environmental parameters at two sites representing different stages of ice-wedge evolution and set up as Circumpolar Active Layer Monitoring (CALM) grid sites at the Teshekpuk Lake Observatory. One site was established in an area with low-centered polygons (LCP; CALM site U60a) and the other in an area with high-centered polygons (HCP; CALM site U60). The LCP site represents ice-wedge formation and is in a drained lake basin, the HCP represents partial degradation and is located in a primary early Holocene surface. Grids were 100 meter (m) by 100 m grids with data collected at every 10 m for a total of 120 measurement point locations. Measurements include thaw depths, ground temperatures at 12 centimeter (cm) depths, volumetric water content of the upper 12 cm of soil, water depth in areas with standing water, maximum vegetation height (within ~10 cm of the grid point), and snow depth. This data was collected at both sites in July 2023 and 2024 and is provided by four csv file for each measurement day. Two shapefiles are included to provide exact measurement locations within the grid. Furthermore, Unmanned Aerial Vehicle (UAV) surveys were conducted in 2024 to measure micro-topography and Normalized Difference Vegetation Index (NDVI) near the timing of peak tundra greenness. These derived UAV products are included as tif files. These measurements were also extracted at each grid point location for analysis and those values are included in the csv files described previously. Finally, we monitored active layer (15 cm depth) and permafrost (100 cm depth) temperatures for specific geomorphic features at each site for a year. We also monitored base of pond water temperatures for a year. Ground temperature monitoring for geomorphic features at the LCP site consisted of a polygon center, a rim and a trough; for the HCP site geomorphic features consisted of a polygon center and two troughs of varying dimensions (note one trough was located outside the grid area). Water monitoring consisted of two polygon centers at the LCP site and a thaw pond at the HCP site. This data is included as another csv file.","url":"https://doi.org/10.18739/a29z90d9r","authors":["Ward Jones, Melissa","Jones, Benjamin"],"tags":["permafrost","Teshekpuk Lake Observatory","ice-wedges polygons","ice-wedges"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.18739/a29z90d9r","addedAt":"2026-08-31T06:39:57.337Z","updatedAt":"2026-08-31T06:39:57.337Z"},{"id":"doi:10.6084/m9.figshare.25340452.v1","name":"Dataset associated with “Bare Patches Created by Plateau Pikas Contribute to Warming Permafrost on the Tibet Plateau” submitted to GRL (2024)","source":"datacite","abstract":"This dataset is associated with Bare Patches Created by Plateau Pikas Contribute to Warming Permafrost on the Tibet Plateau submitted to GRL (2024), including (i) maps illustrating the difference in soil temperature (ST) between scenarios with and without pika disturbance; (ii) maps illustrating the difference in soil water content (SWC); (iii) a surface entrance density map of plateau pikas and (iv) a map depicting the fraction of bare patches induced by plateau pikas. All data are provided as GeoTIFF (.tif) files in a geographic coordinate system of WGS_1984.1. “ST_difference_soilayer[n]_[2.5cm, 66cm, 184cm, 370cm]_2015_2018_[June, July, August, September].tif” is the difference in soil temperature (°C) of the n-th layer at a certain depth with and without pika disturbance averaged from 2015-2018 in June, July, August and September, respectively. These values are derived from simulations by implementing scenarios with and without pika disturbance using the Noah-MP model.2. “SWC_difference_soilayer[n]_[2.5cm, 66cm, 184cm, 370cm]_2015_2018_[June, July, August, September].tif” is the difference in soil water content (m 3 /m 3 ) of n-th layer at a certain depth with and without pika disturbance averaged from 2015-2018 in June, July, August and September, respectively. These values are derived from simulations by implementing scenarios with and without pika disturbance using the Noah-MP model.3. “pika_surface_entrance_density_1km.tif” is the surface entrance density map of plateau pikas, simulated using a stochastic model based on the habitat suitability of plateau pikas.4. “pika_induced_bare_patch_fraction_10km.tif” is the pika-induced bare patch fraction, estimated using an empirical model fitted from Unmanned Aerial Vehicle data.","url":"https://doi.org/10.6084/m9.figshare.25340452.v1","authors":["Chen, Yuhong","Nan, Zhuotong","Zhao, Shuping"],"tags":["Ecology not elsewhere classified","Soil physics","Environmental geography"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.6084/m9.figshare.25340452.v1","addedAt":"2026-08-31T06:39:57.337Z","updatedAt":"2026-08-31T06:39:57.337Z"},{"id":"doi:10.34619/ndp5-kaks","name":"Anime and Drone Warfare","source":"datacite","abstract":"This article explores the philosophical and aesthetic implications of drone warfare through an analysis of A Farewell to Weapons (dir. Katoki Hajime, 2013), a short anime film in which a platoon of soldiers uses unmanned aerial vehicles (UAVs) to fend off a hostile robot tank (the “GONK”). Defining “drones” as any unmanned vehicle that is either remotely controlled or fully autonomous, I discuss the film’s portrayal of the visual feed from both the soldiers’ UAVs and the GONK’s camera in relation to Harun Farocki’s concept of “operational images.” Operational images are not produced out of artistic intent, but rather as parts of operations that involve visual data processing, such as drone strikes or automatic navigation. A Farewell to Weapons is replete with operational images that demonstrate, to use Matthew King’s phrasing, the “dissimulation” (concealment) of human agency in the vast technological networks that mediate modern combat. Referring to Thomas Lamarre’s concept of “hypercinematism,” I argue that A Farewell to Weapons uses the hypercinematic movement of its virtual 3DCG camera to accentuate the dissimulated, nonhuman points of view of operational images. By embedding drone vision into its own visual logic, the film becomes a testament to the propagation of drone aesthetics in popular media, as well as a direct confrontation with the weaponisation, and eventual automation, of what we consider human vision.","url":"https://doi.org/10.34619/ndp5-kaks","authors":["Stojnic, Betty"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.34619/ndp5-kaks","addedAt":"2026-08-31T06:39:57.337Z","updatedAt":"2026-08-31T06:39:57.337Z"},{"id":"doi:10.48550/arxiv.2503.14248","name":"Joint Channel Bandwidth Assignment and Relay Positioning for Predictive Flying Networks","source":"datacite","abstract":"Flying Networks (FNs) have emerged as a promising solution to provide on-demand wireless connectivity when network coverage is insufficient or the communications infrastructure is compromised, such as in disaster management scenarios. Despite extensive research on Unmanned Aerial Vehicle (UAV) positioning and radio resource allocation, the challenge of ensuring reliable traffic relay through backhaul links in predictive FNs remains unexplored. This work proposes Simulated Annealing for predictive FNs (SAFnet), an innovative algorithm that optimizes network performance under positioning constraints, limited bandwidth and minimum rate requirements. Our algorithm uniquely leverages prior knowledge of the first-tier node trajectories to assign bandwidth and dynamically adjust the position of the second-tier flying relay. Building upon Simulated Annealing, our approach enhances this well-known AI algorithm with penalty functions, achieving performance levels comparable to exhaustive search while significantly reducing computational complexity.","url":"https://doi.org/10.48550/arxiv.2503.14248","authors":["Queiros, Ruben","Kaneko, Megumi","Fontes, Helder","Campos, Rui"],"tags":["Networking and Internet Architecture (cs.NI)","FOS: Computer and information sciences","FOS: Computer and information sciences"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.48550/arxiv.2503.14248","addedAt":"2026-08-31T06:39:57.337Z","updatedAt":"2026-08-31T06:39:57.337Z"},{"id":"doi:10.5281/zenodo.13073856","name":"Unmanned aerial system data of Lirung Glacier and Langtang Glacier for 2013–2018","source":"datacite","abstract":"This dataset contains the raw data as well as produced image mosaics, digital elevation models (DEMs) and data derivatives of optical (RGB) unmanned aerial vehicle surveys of the debris-covered Lirung Glacier (9 surveys, 2013–2018) and Langtang Glacier (7 surveys, 2014–2018) in the Langtang Catchment, Nepalese Himalaya. All data in this dataset are stored in tape archive (tar) or gzip-compressed tape archive (tar.gz) formats and require extraction before use. The projected coordinate system used in this dataset is WGS 1984 UTM Zone 45N (EPSG:32645). Survey dates are always provided as yyyymmdd. File descriptions dems_ .tar20 cm resolution DEMs that were derived from the raw UAV images. DEMs of all survey dates are included in the tar archives. File format is GeoTIFF. orthomosaics_ .tar10 cm resolution image mosaics of orthorectified source imagery (orthomosaics) that were derived from the raw UAV images. Orthomosaics of all survey dates are included in the tar archives. File format is GeoTIFF. point-clouds_ .tar.gzRaw dense point clouds that were derived from the raw UAV images. Point clouds of all survey dates are included in the tar archive. File format is ASPRS LAS. Note that additional gzip-compression has been applied to the archives. raw-data_ _ .tarRaw data of each of the surveys that were performed over 2013–2018. The filename includes the glacier name and the survey date. Each tar archive contains directories for each UAV flight associated to that specific survey, indicated by f1, f2, ..., fn. The flight directories have the following contents: imgSubdirectory that contains the individual images in JPEG format captured by the UAV camera. *flight_path.kml (not present for all surveys)Keyhole Markup Language file that contains the flight path of the UAV recorded by the UAV's internal GPS+GLONASS sensor. *image_geoinfo.txtTable with coordinates (x,y,z) and UAV orientation (roll, tilt, yaw) for every image in img, which were recorded by the UAV's internal GPS+GLONASS sensor and gyroscope, respectively. *drone_log.bbx or *drone_log.bb3Binary flight log file from the UAV containing detailed flight information. Can be read by the proprietary eMotion software by UAV manufacturer senseFly. supplementary-animation_ .gifAnimations of Langtang Glacier (2014–2018) and Lirung Glacier (2013–2017) supplementary to Kraaijenbrink and Immerzeel (2025). The high resolution time lapse animations are constructed from composites of the orthomosaic and hillshaded DEM. Since the animations are in GIF format, they are best viewed in a web browser in which they can be zoomed and panned. supplementary-animation_lirung_terminus_retreat.mp4Three-dimensional fly-by video animation of the terminus retreat of Lirung Glacier (2013–2017), supplementary to Kraaijenbrink and Immerzeel (2025). supplementary-data-to-article.tarData derivatives as presented in Kraaijenbrink & Immerzeel (2024). The tar archive contains a README file with additional information for each of the datasets present in the archive. The archive contains: Error measurements of the UAV product Vector outlines of the area of interests of both glaciers Point cloud extracts of supraglacial ice cliff cross profiles Flow and gradient corrected DEMs (1 m resolution) Pixel-wise regression of the uncorrected and flow-corrected DEMs (1 m resolution) Surface velocity between survey pairs (8 m resolution) Reference For further information, e.g. about the UAV systems and cameras used, as well as detailed descriptions of the data and the applied data processing please refer to the accompanying journal article. Kraaijenbrink, P. D. A., & Immerzeel, W. W. (2025). Spatial and temporal variability of the surface mass balance of debris‐covered glacier tongues. Journal of Geophysical Research: Earth Surface, 130, e2024JF007935. https://doi.org/10.1029/2024JF007935 License This dataset is licensed under Creative Commons Attribution 4.0 International (CC BY 4.0).(https://creativecommons.org/licenses/by/4.","url":"https://doi.org/10.5281/zenodo.13073856","authors":["Kraaijenbrink, P. D. A.","Immerzeel, W. W."],"tags":["Cryosphere","Glaciology","Remote sensing","Debris-covered glaciers","Unmanned aerial vehicles","Digital elevation models","Orthomosaics","Point clouds"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.13073856","addedAt":"2026-08-31T06:39:57.337Z","updatedAt":"2026-08-31T06:40:05.995Z"},{"id":"doi:10.17632/4xjhmcj6sv","name":"The datasets used in global research literature to assess the modeling accuracy of remote sensing estimates of soil salinity across various locations.","source":"datacite","abstract":"This study conducted a detailed literature search on remote sensing monitoring of soil salinity using a specific combination of keywords in the Web of Science database. Through the search for \"soil salt content (Topic) AND remote sensing (Topic) AND 2000 - 2024 (Year Published)\", a total of 227 related papers were retrieved. Similarly, using the keywords \"soil salinization (Topic) AND remote sensing (Topic) AND 2000 - 2024 (Year Published)\", 477 related papers were acquired. Additionally, the search for \"soil salinity (Topic) AND remote sensing (Topic) AND 2024 (Year Published)\" yielded 77 papers. The query \"soil salinity (Topic) AND remote sensing (Topic) AND 2000 - 2018 (Year Published)\" resulted in 750 papers, while employing \"soil salinity (Topic) AND remote sensing (Topic) AND 2019 - 2023 (Year Published)\" produced 991 papers. By integrating these search results, a total of 2,522 academic papers related to remote sensing monitoring of soil salinity were identified, covering studies from 2000 to June 2024. For the 2,522 papers on remote sensing salinization, the screening was conducted based on the following criteria: the papers must employ remote sensing technology, use satellite or unmanned aerial vehicle (UAV) data, and estimate surface soil salinity using modeling techniques. Additionally, the papers must provide details on the sampling depth, sensor type and name, sensor spatial resolution, the data volume of both the modeling and validation sets, the model type, the environmental covariates associated with the model, methods of measuring soil salinity, and the R² value of the validation or test set. As a result, 84 papers were selected.","url":"https://doi.org/10.17632/4xjhmcj6sv","authors":["Cui, Zi'ang","Zhang, Ruiqi","Wang, Wenhui","Peng, Zhaoce","Wu, Yifan","Zhao, Ziyue","Li, Mohan","Cong, Yutong","Zhang, Shaoyan"],"tags":["Soil Salinity","Remote Sensing Application"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.17632/4xjhmcj6sv","addedAt":"2026-08-31T06:39:57.337Z","updatedAt":"2026-08-31T06:39:57.337Z"},{"id":"doi:10.5281/zenodo.13953070","name":"Digital Orthophotos and water-land-boundaries at the Elbe eastuary (Germany), July 2022, Sat-Land-Fluss-project","source":"datacite","abstract":"In July 2022 we mapped the tidal area of the Elbe near Cuxhaven and Brunsbüttel. The data was gathered by UAV (Unmanned Aerial Vehicle) with a RBG camera and a PDGNSS-Rover (Precice Differential Global Navigation Satellite System) in three areas: 1) Otterndorf at low tidal level (beach area), 2) Neufelderkoog at low tidal level (wadden area), 3) Neufeld at high tidal level (flooded reed area). For each area we provide a digital orthophoto and the correlation of the measurement timing to the local sea level. The measurements were obtained at the same time as the radar satellite Sentinel 1 crossed the area. The data is structured in three zip-archives corresponding to the study areas:1) 20220712_Tnw_Otterndorf.zip: provides the time series data as comma-separated text files (CSV) provides (a) a digital orthophoto at 1,5 cm resolution, (b) an overview jpg showing of the measurement times and the local sea level, (c) timing of the UAV-flightlines and (d) two PDGNSS measurement series collected simultaneously as csv. (downloadable as 10.4 GB zip archive), 2) 20220712_Tnw_NeufelderkoogPriel.zip: provides (a) a digital orthophoto at 2 cm resolution and (b) an overview jpg showing of the measurement times and the local sea level (downloadable as 6,3 GB zip archive), 3) 20220720_Thw_Neufeld.zip: provides (a) a digital orthophoto at 2 cm resolution and (b) an overview jpg showing of the measurement times and the local sea level (downloadable as 8,4 GB zip archive). The data is used in the frame of the project \"satellite based water-land-boundary detection\" (Sat-Land-Fluss), as validation for Sentinel-1 derived water-land determinations. Sat-Land-Fluss was a R&D project lasting from 2020-2024, funded by the German Federal Ministry for Digital and Transport in the 4th project call \"National Copernicus Application\" (50EW2015).","url":"https://doi.org/10.5281/zenodo.13953070","authors":["Mechernich, Silke","Gessler, Bastian","Jansen, Thomas","Brehm, Tobias","Baschek, Björn"],"tags":["Küstengewässer","DOP","Elbe","tide","geodata","PDGNSS","UAV"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.13953070","addedAt":"2026-08-31T06:39:57.337Z","updatedAt":"2026-08-31T06:39:57.337Z"},{"id":"doi:10.5281/zenodo.13953069","name":"Digital Orthophotos and water-land-boundaries at the Elbe eastuary (Germany), July 2022, Sat-Land-Fluss-project","source":"datacite","abstract":"In July 2022 we mapped the tidal area of the Elbe near Cuxhaven and Brunsbüttel. The data was gathered by UAV (Unmanned Aerial Vehicle) with a RBG camera and a PDGNSS-Rover (Precice Differential Global Navigation Satellite System) in three areas: 1) Otterndorf at low tidal level (beach area), 2) Neufelderkoog at low tidal level (wadden area), 3) Neufeld at high tidal level (flooded reed area). For each area we provide a digital orthophoto and the correlation of the measurement timing to the local sea level. The measurements were obtained at the same time as the radar satellite Sentinel 1 crossed the area. The data is structured in three zip-archives corresponding to the study areas:1) 20220712_Tnw_Otterndorf.zip: provides the time series data as comma-separated text files (CSV) provides (a) a digital orthophoto at 1,5 cm resolution, (b) an overview jpg showing of the measurement times and the local sea level, (c) timing of the UAV-flightlines and (d) two PDGNSS measurement series collected simultaneously as csv. (downloadable as 10.4 GB zip archive), 2) 20220712_Tnw_NeufelderkoogPriel.zip: provides (a) a digital orthophoto at 2 cm resolution and (b) an overview jpg showing of the measurement times and the local sea level (downloadable as 6,3 GB zip archive), 3) 20220720_Thw_Neufeld.zip: provides (a) a digital orthophoto at 2 cm resolution and (b) an overview jpg showing of the measurement times and the local sea level (downloadable as 8,4 GB zip archive). The data is used in the frame of the project \"satellite based water-land-boundary detection\" (Sat-Land-Fluss), as validation for Sentinel-1 derived water-land determinations. Sat-Land-Fluss was a R&D project lasting from 2020-2024, funded by the German Federal Ministry for Digital and Transport in the 4th project call \"National Copernicus Application\" (50EW2015).","url":"https://doi.org/10.5281/zenodo.13953069","authors":["Mechernich, Silke","Gessler, Bastian","Jansen, Thomas","Brehm, Tobias","Baschek, Björn"],"tags":["Küstengewässer","DOP","Elbe","tide","geodata","PDGNSS","UAV"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.13953069","addedAt":"2026-08-31T06:39:57.337Z","updatedAt":"2026-08-31T06:39:57.337Z"},{"id":"doi:10.5281/zenodo.14651852","name":"Global Drone Market 2024 To 2033","source":"datacite","abstract":"Drone Market Size, Trends and Insights By Type (Fixed-Wing Drone, Rotary Blade Drone, Hybrid Drone), By Payload (Upto 100 kg, Above 100 kg), By End User (Agriculture, Delivery & Logistics, Energy, Media & Entertainment, Real Estate & Construction, Security & Law Enforcement, Others), and By Region - Global Industry Overview, Statistical Data, Competitive Analysis, Share, Outlook, and Forecast 2024–2033. Reports Description Global Drone Market was valued at USD 25.3 Billion in 2024 and is expected to reach USD 133.6 Billion by 2033, at a CAGR of 13.4% during the forecast period 2024 – 2033. A drone also referred to as an unmanned aerial vehicle (UAV) or an unmanned aircraft system (UAS), is an aircraft that does not have a human pilot on board. A human operator can remotely operate drones, or they can be programmed to fly along an identified direction on their own. For more information, DOWNLOAD FREE SAMPLE Now at https://www.custommarketinsights.com/request-for-free-sample/?reportid=47780","url":"https://doi.org/10.5281/zenodo.14651852","authors":["Sirsat, Nitin"],"tags":["Drone Market","Drone Market Size","Drone Market Share","Drone Market Trends","Drone Market Report","Drone Market Research"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.5281/zenodo.14651852","addedAt":"2026-08-31T06:39:57.337Z","updatedAt":"2026-08-31T06:39:57.337Z"},{"id":"doi:10.5281/zenodo.14651851","name":"Global Drone Market 2024 To 2033","source":"datacite","abstract":"Drone Market Size, Trends and Insights By Type (Fixed-Wing Drone, Rotary Blade Drone, Hybrid Drone), By Payload (Upto 100 kg, Above 100 kg), By End User (Agriculture, Delivery & Logistics, Energy, Media & Entertainment, Real Estate & Construction, Security & Law Enforcement, Others), and By Region - Global Industry Overview, Statistical Data, Competitive Analysis, Share, Outlook, and Forecast 2024–2033. Reports Description Global Drone Market was valued at USD 25.3 Billion in 2024 and is expected to reach USD 133.6 Billion by 2033, at a CAGR of 13.4% during the forecast period 2024 – 2033. A drone also referred to as an unmanned aerial vehicle (UAV) or an unmanned aircraft system (UAS), is an aircraft that does not have a human pilot on board. A human operator can remotely operate drones, or they can be programmed to fly along an identified direction on their own. For more information, DOWNLOAD FREE SAMPLE Now at https://www.custommarketinsights.com/request-for-free-sample/?reportid=47780","url":"https://doi.org/10.5281/zenodo.14651851","authors":["Sirsat, Nitin"],"tags":["Drone Market","Drone Market Size","Drone Market Share","Drone Market Trends","Drone Market Report","Drone Market Research"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.5281/zenodo.14651851","addedAt":"2026-08-31T06:39:57.337Z","updatedAt":"2026-08-31T06:39:57.337Z"},{"id":"doi:10.5281/zenodo.14651674","name":"India UAV Market 2024 To 2033","source":"datacite","abstract":"India UAV Market Size, Trends and Insights By Type (Fixed wing UAVs, Rotary-wing UAVs (Drones), Hybrid UAVs, Nano and Micro UAVs, Vertical Take-off and Landing (VTOL) UAVs), By Technology (Fixed-wing vs. Rotary-wing, Autonomous vs. Remote-controlled, Propulsion, Sensors and Payloads), By Application (Military and Defense, Commercial, Consumer, Others), By Capacity (Small UAVs (Micro and Mini), Medium UAVs, Large UAVs (HAPS - High Altitude Pseudo-Satellites), Payload Capacity (Light, Medium, Heavy)), and By Region - Industry Overview, Statistical Data, Competitive Analysis, Share, Outlook, and Forecast 2024–2033. Reports Description As per the current market research conducted by the CMI Team, the India UAV Market is expected to record a CAGR of 9.5% from 2024 to 2033. In 2024, the market size is projected to reach a valuation of USD 1,775.5 Million. By 2033, the valuation is anticipated to reach USD 4,018.4 Million. The Indian UAV (Unmanned Aerial Vehicle) market is a dynamic and rapidly evolving sector characterized by technological innovation and diverse applications across industries. With a focus on agriculture, infrastructure, defense, and commercial sectors, the market offers a wide range of UAV solutions for surveillance, monitoring, mapping, and delivery services. Government initiatives such as the National Drone Policy and the ‘Make in India’ campaign have provided impetus to the market, driving investments, innovation, and regulatory reforms. Key players in the market are leveraging advancements in technology to develop cutting-edge UAVs tailored to the unique needs of Indian industries, fostering growth and expansion in the sector. For more information, DOWNLOAD FREE SAMPLE Now at https://www.custommarketinsights.com/request-for-free-sample/?reportid=49940","url":"https://doi.org/10.5281/zenodo.14651674","authors":["Sirsat, Nitin"],"tags":["India UAV Market","India UAV Market Size","India UAV Market Share","India UAV Market Trends","India UAV Market Report","India UAV Market Research"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.5281/zenodo.14651674","addedAt":"2026-08-31T06:39:57.337Z","updatedAt":"2026-08-31T06:39:57.337Z"},{"id":"doi:10.5281/zenodo.14651675","name":"India UAV Market 2024 To 2033","source":"datacite","abstract":"India UAV Market Size, Trends and Insights By Type (Fixed wing UAVs, Rotary-wing UAVs (Drones), Hybrid UAVs, Nano and Micro UAVs, Vertical Take-off and Landing (VTOL) UAVs), By Technology (Fixed-wing vs. Rotary-wing, Autonomous vs. Remote-controlled, Propulsion, Sensors and Payloads), By Application (Military and Defense, Commercial, Consumer, Others), By Capacity (Small UAVs (Micro and Mini), Medium UAVs, Large UAVs (HAPS - High Altitude Pseudo-Satellites), Payload Capacity (Light, Medium, Heavy)), and By Region - Industry Overview, Statistical Data, Competitive Analysis, Share, Outlook, and Forecast 2024–2033. Reports Description As per the current market research conducted by the CMI Team, the India UAV Market is expected to record a CAGR of 9.5% from 2024 to 2033. In 2024, the market size is projected to reach a valuation of USD 1,775.5 Million. By 2033, the valuation is anticipated to reach USD 4,018.4 Million. The Indian UAV (Unmanned Aerial Vehicle) market is a dynamic and rapidly evolving sector characterized by technological innovation and diverse applications across industries. With a focus on agriculture, infrastructure, defense, and commercial sectors, the market offers a wide range of UAV solutions for surveillance, monitoring, mapping, and delivery services. Government initiatives such as the National Drone Policy and the ‘Make in India’ campaign have provided impetus to the market, driving investments, innovation, and regulatory reforms. Key players in the market are leveraging advancements in technology to develop cutting-edge UAVs tailored to the unique needs of Indian industries, fostering growth and expansion in the sector. For more information, DOWNLOAD FREE SAMPLE Now at https://www.custommarketinsights.com/request-for-free-sample/?reportid=49940","url":"https://doi.org/10.5281/zenodo.14651675","authors":["Sirsat, Nitin"],"tags":["India UAV Market","India UAV Market Size","India UAV Market Share","India UAV Market Trends","India UAV Market Report","India UAV Market Research"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.5281/zenodo.14651675","addedAt":"2026-08-31T06:39:57.337Z","updatedAt":"2026-08-31T06:39:57.337Z"},{"id":"doi:10.5281/zenodo.11109783","name":"The Glaciers of the Dolomites: last 40 years of melting","source":"datacite","abstract":"This dataset refers to: Securo, A., Del Gobbo, C., Baccolo, G., Barbante, C., Citterio, M., De Blasi, F., Marcer, M., Valt, M., and Colucci, R. R.: The Glaciers of the Dolomites: last 40 years of melting, EGUsphere [preprint], https://doi.org/10.5194/egusphere-2024-1357, 2024. Read more here: https://egusphere.copernicus.org/preprints/2024/egusphere-2024-1357/ The study presents a multi-decadal (1980s-2023) estimation of surface elevation change and geodetic mass balance of the current mountain glaciers present in the area. Calculations are based on geodetic data: high resolution and accuracy is obtained with unmanned aerial vehicle (UAV) Structure from Motion (SfM) and airborne Light Detection and Ranging (LiDAR), from 2010 to 2023. SfM on historical aerial imagery is used for previous decades. The dataset contains: 1-band raster files (.tif) with the M3C2 (Multi Scale Model to Model Cloud Comparison) distance calculations from all mountain glaciers of the Dolomites, computed on common glacier area between the two periods. File names are as following: \"AreaID_glaciername_year1_year2.tif\"SR Monte Mario / Italy zone 2 - EPSG:3004 Geopackage (.gpkg) files with glaciers area during different periods. Polygon have the following attributes: Area ID, Glacier name, CGI-ID (Comitato Glaciologico Italiano), RGI-ID (Randoph Glacier Inventory), Area, Year.SR WGS84 - EPSG: 4326 Additional 3D models of the Dolomites Glaciers in 2023 can be found here: Sketchfab Full file list: \"1_Popera_2010_2014.tif\"\"1_Popera_Alto_1992_2010.tif\"\"1_Popera_Alto_2010_2023.tif\"\"1_Popera_Alto_2014_2023.tif\"\"1_Popera_Pensile_1992_2010.tif\"\"1_Popera_Pensile_2010_2023.tif\"\"1_Popera_Pensile_2014_2023.tif\"\"2_Cristallo_1992_2010.tif\"\"2_Cristallo_2010_2014.tif\"\"2_Cristallo_2010_2023.tif\"\"2_Cristallo_2014_2023.tif\"\"3_Sorapiss_Occidentale_1980_2010.tif\"\"3_Sorapiss_Occidentale_2010_2014.tif\"\"3_Sorapiss_Occidentale_2010_2023.tif\"\"3_Sorapiss_Occidentale_2014_2023.tif\"\"4_Antelao_2010_2014.tif\"\"4_Antelao_Inferiore_1982_2010.tif\"\"4_Antelao_Inferiore_2010_2023.tif\"\"4_Antelao_Inferiore_2014_2023.tif\"\"4_Antelao_Superiore_1982_2010.tif\"\"4_Antelao_Superiore_2010_2023.tif\"\"4_Antelao_Superiore_2014_2023.tif\"\"5_Marmolada_1982_2010.tif\"\"5_Marmolada_2010_2014.tif\"\"5_Marmolada_2010_2023.tif\"\"5_Marmolada_2014_2023.tif\"\"6_Fradusta_1982_2010.tif\"\"6_Fradusta_2010_2014.tif\"\"6_Fradusta_2010_2023.tif\"\"6_Fradusta_2014_2023.tif\"\"6_Travignolo_1982_2010.tif\"\"6_Travignolo_2010_2014.tif\"\"6_Travignolo_2010_2023.tif\"\"6_Travignolo_2014_2023.tif\" \"area_dolomites_glaciers.gpkg\"\"area_dolomites_glaciers_1980s_1990s.gpkg\"\"area_dolomites_glaciers_2010.gpkg\"\"area_dolomites_glaciers_2023.gpkg\"","url":"https://doi.org/10.5281/zenodo.11109783","authors":["Andrea Securo","Costanza Del Gobbo","Giovanni Baccolo","Carlo Barbante","Michele Citterio","Fabrizio De Blasi","Marco Marcer","Mauro Valt","Renato R. Colucci"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.5281/zenodo.11109783","addedAt":"2026-08-31T06:39:57.337Z","updatedAt":"2026-08-31T06:39:57.337Z"},{"id":"doi:10.17632/4xjhmcj6sv.1","name":"The datasets used in global research literature to assess the modeling accuracy of remote sensing estimates of soil salinity across various locations.","source":"datacite","abstract":"This study conducted a detailed literature search on remote sensing monitoring of soil salinity using a specific combination of keywords in the Web of Science database. Through the search for \"soil salt content (Topic) AND remote sensing (Topic) AND 2000 - 2024 (Year Published)\", a total of 227 related papers were retrieved. Similarly, using the keywords \"soil salinization (Topic) AND remote sensing (Topic) AND 2000 - 2024 (Year Published)\", 477 related papers were acquired. Additionally, the search for \"soil salinity (Topic) AND remote sensing (Topic) AND 2024 (Year Published)\" yielded 77 papers. The query \"soil salinity (Topic) AND remote sensing (Topic) AND 2000 - 2018 (Year Published)\" resulted in 750 papers, while employing \"soil salinity (Topic) AND remote sensing (Topic) AND 2019 - 2023 (Year Published)\" produced 991 papers. By integrating these search results, a total of 2,522 academic papers related to remote sensing monitoring of soil salinity were identified, covering studies from 2000 to June 2024. For the 2,522 papers on remote sensing salinization, the screening was conducted based on the following criteria: the papers must employ remote sensing technology, use satellite or unmanned aerial vehicle (UAV) data, and estimate surface soil salinity using modeling techniques. Additionally, the papers must provide details on the sampling depth, sensor type and name, sensor spatial resolution, the data volume of both the modeling and validation sets, the model type, the environmental covariates associated with the model, methods of measuring soil salinity, and the R² value of the validation or test set. As a result, 84 papers were selected.","url":"https://doi.org/10.17632/4xjhmcj6sv.1","authors":["Cui, Zi'ang","Zhang, Ruiqi","Wang, Wenhui","Peng, Zhaoce","Wu, Yifan","Zhao, Ziyue","Li, Mohan","Cong, Yutong","Zhang, Shaoyan"],"tags":["Soil Salinity","Remote Sensing Application"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.17632/4xjhmcj6sv.1","addedAt":"2026-08-31T06:39:57.337Z","updatedAt":"2026-08-31T06:39:57.337Z"},{"id":"doi:10.5281/zenodo.10934163","name":"Multispectral imaging dataset of potato plants on the field, acquired using UAV","source":"datacite","abstract":"An experiment: The experiment was conducted in Central Slovenia, at an elevation of 320 meters above sea level. The region has a subalpine climate with an average temperature of 9.5°C and average precipitation of 1352 mm. Eight potato varieties were planted in a randomized block design with four replications. Each block contained one microplot of a single potato variety. Each plot was a 6x3 meter section containing approximately 70 potato plants distributed into four rows. The experiment was conducted in two different fields, one organic and one conventional. Potato seeds were planted in mid-April and grown during the 2022 growing season, typically from April to September in Central Slovenia. Multispectral imaging: Multispectral images of potato field crops were captured using a SKYHERO SPYDER X4-850 GEO Edition Unmanned Aerial Vehicle (UAV) with a Micasense Rededge MX 5-band multispectral camera. A Stonex S9i GPS device was used alongside ground control points (GCPs) to increase the spatial accuracy of the images and for georeferencing. Imaging was performed around noon, with the UAV maintaining an altitude of 50 m above ground level and a flight speed of 5 m/s. The flight plan included an 80% bidirectional overlap and a 25% buffer to ensure data completeness and redundancy. After acquisition, the images underwent a standard series of processing procedures using PIX4DMapper and QGIS. This included georeferencing, orthorectification, radiometric correction, conversion to reflectance units, and the construction of mosaic representations. Field measuring and plant health assessment : Ground measurements included various parameters such as leaf chlorophyll concentration (SPAD), stomatal conductance (gsw), transpiration (E), quantum efficiency in light (PhiPS2), and electron transport rate (ETR). The SPAD-502 meter was used to quantify SPAD, and the Li 600 device was used to assess physiological values. The presence of Alternaria sp. was determined through visual assessment by qualified evaluators. Measurements were conducted within the central area of each plot to mitigate border effects. Four plants of each variety were selected, resulting in 16 measurements per variety per image and a total of 128 measurements per image across all eight varieties. This resulted in a total of 768 measurements (384 for ecological and 384 for conventional) across all three time points. Alternaria visual assessments were conducted only during the final time point, yielding 256 measurements (128 for ecological and 128 for conventional). GPS coordinates were recorded for all plants during the first time point, enabling direct pixel-to-measurement matching in the image. These coordinates were used for the two subsequent time points. Files: File structure: 📁 data ├── 📁 multispectral_images │ ├── 📁 2022_07_20__konv_ecobreed │ │ ├── 🖼️ Ecobreed_krompir_konv_20_07_2022_transparent_reflectance_nir_modified.tif │ │ ├── 🖼️ Ecobreed_krompir_konv_20_07_2022_transparent_reflectance_red_modified.tif | | └── 🖼️ ... │ ├── 📁 2022_07_20__eko_ecobreed │ │ ├── 🖼️ Ecobreed_krompir_eko_20_07_2022_transparent_reflectance_nir_modified.tif │ │ ├── 🖼️ Ecobreed_krompir_eko_20_07_2022_transparent_reflectance_red_modified.tif | | └── 🖼️ ... │ └── 📁 ... ├── 📁 shapefiles │ ├── 📄 potato_locations_eko.shp │ ├── 📄 potato_locations_konv.shp │ ├── 📄 potato_measured_locations_eko.shp │ ├── 📄 potato_measured_locations_konv.shp │ └── 📄 ... └── 📁 measurements ├── 📊 Alternaria_ocenjevanje1_Ecobreed_krompir_2022.xlsx ├── 📊 LICOR_Ecobreed_krompir_2022.xlsx ├── 📊 SPAD_Ecobreed_krompir_2022.xlsx └── 📊 Varieties_grouped_Ecobreed_krompir_2022.xlsx multispectral_images: This directory contains raster images captured by a multispectral camera. The images are organized into subdirectories by date and treatment type (conventional-konv or ecological-eko). Each image file, such as Ecobreed_krompir_konv_20_07_2022_transparent_reflectance_nir_modified.tif, represents a specific sp","url":"https://doi.org/10.5281/zenodo.10934163","authors":["Lapajne, Janez","Vončina, Andrej","Vojnović, Ana"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.5281/zenodo.10934163","addedAt":"2026-08-31T06:39:57.337Z","updatedAt":"2026-08-31T06:39:57.337Z"},{"id":"doi:10.5281/zenodo.10934162","name":"Multispectral imaging dataset of potato plants on the field, acquired using UAV","source":"datacite","abstract":"An experiment: The experiment was conducted in Central Slovenia, at an elevation of 320 meters above sea level. The region has a subalpine climate with an average temperature of 9.5°C and average precipitation of 1352 mm. Eight potato varieties were planted in a randomized block design with four replications. Each block contained one microplot of a single potato variety. Each plot was a 6x3 meter section containing approximately 70 potato plants distributed into four rows. The experiment was conducted in two different fields, one organic and one conventional. Potato seeds were planted in mid-April and grown during the 2022 growing season, typically from April to September in Central Slovenia. Multispectral imaging: Multispectral images of potato field crops were captured using a SKYHERO SPYDER X4-850 GEO Edition Unmanned Aerial Vehicle (UAV) with a Micasense Rededge MX 5-band multispectral camera. A Stonex S9i GPS device was used alongside ground control points (GCPs) to increase the spatial accuracy of the images and for georeferencing. Imaging was performed around noon, with the UAV maintaining an altitude of 50 m above ground level and a flight speed of 5 m/s. The flight plan included an 80% bidirectional overlap and a 25% buffer to ensure data completeness and redundancy. After acquisition, the images underwent a standard series of processing procedures using PIX4DMapper and QGIS. This included georeferencing, orthorectification, radiometric correction, conversion to reflectance units, and the construction of mosaic representations. Field measuring and plant health assessment : Ground measurements included various parameters such as leaf chlorophyll concentration (SPAD), stomatal conductance (gsw), transpiration (E), quantum efficiency in light (PhiPS2), and electron transport rate (ETR). The SPAD-502 meter was used to quantify SPAD, and the Li 600 device was used to assess physiological values. The presence of Alternaria sp. was determined through visual assessment by qualified evaluators. Measurements were conducted within the central area of each plot to mitigate border effects. Four plants of each variety were selected, resulting in 16 measurements per variety per image and a total of 128 measurements per image across all eight varieties. This resulted in a total of 768 measurements (384 for ecological and 384 for conventional) across all three time points. Alternaria visual assessments were conducted only during the final time point, yielding 256 measurements (128 for ecological and 128 for conventional). GPS coordinates were recorded for all plants during the first time point, enabling direct pixel-to-measurement matching in the image. These coordinates were used for the two subsequent time points. Files: File structure: 📁 data ├── 📁 multispectral_images │ ├── 📁 2022_07_20__konv_ecobreed │ │ ├── 🖼️ Ecobreed_krompir_konv_20_07_2022_transparent_reflectance_nir_modified.tif │ │ ├── 🖼️ Ecobreed_krompir_konv_20_07_2022_transparent_reflectance_red_modified.tif | | └── 🖼️ ... │ ├── 📁 2022_07_20__eko_ecobreed │ │ ├── 🖼️ Ecobreed_krompir_eko_20_07_2022_transparent_reflectance_nir_modified.tif │ │ ├── 🖼️ Ecobreed_krompir_eko_20_07_2022_transparent_reflectance_red_modified.tif | | └── 🖼️ ... │ └── 📁 ... ├── 📁 shapefiles │ ├── 📄 potato_locations_eko.shp │ ├── 📄 potato_locations_konv.shp │ ├── 📄 potato_measured_locations_eko.shp │ ├── 📄 potato_measured_locations_konv.shp │ └── 📄 ... └── 📁 measurements ├── 📊 Alternaria_ocenjevanje1_Ecobreed_krompir_2022.xlsx ├── 📊 LICOR_Ecobreed_krompir_2022.xlsx ├── 📊 SPAD_Ecobreed_krompir_2022.xlsx └── 📊 Varieties_grouped_Ecobreed_krompir_2022.xlsx multispectral_images: This directory contains raster images captured by a multispectral camera. The images are organized into subdirectories by date and treatment type (conventional-konv or ecological-eko). Each image file, such as Ecobreed_krompir_konv_20_07_2022_transparent_reflectance_nir_modified.tif, represents a specific sp","url":"https://doi.org/10.5281/zenodo.10934162","authors":["Lapajne, Janez","Vončina, Andrej","Vojnović, Ana"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.5281/zenodo.10934162","addedAt":"2026-08-31T06:39:57.337Z","updatedAt":"2026-08-31T06:39:57.337Z"},{"id":"doi:10.5281/zenodo.14277611","name":"Inventory of shallow landslides triggered by extreme rainfall in July 2024 in Zixing, China","source":"datacite","abstract":"Global climate change has led to the frequent occurrence of extreme meteorological events in recent years, which have in turn triggered severe clustered landslides in mountainous regions. The landslide inventories not only provide post-disaster statistics but also play crucial roles in advancing landslide risk assessment and driving progress in the field of landslide detection. The Rainfall-induced Landslide in Zixing (RLZX) dataset consists of a landslide inventory map (LIM) and a landslide detection dataset (LDD). The RLZX-LIM is created through the visual interpretation of 3D scenes before and after the rainfall event, containing 19,403 shallow landslides triggered by extreme rainfall in Zixing City, China, between July 26 and July 28, 2024. This inventory has reliable quality and has been verified through field investigations and unmanned aerial vehicle (UAV) mapping. The RLZX-LDD is further developed using both UAV and satellite images, offering higher quality and robustness, effectively filling the gap in rainfall-induced LDDs. The related RLZX datasets have been publicly released for free use to promote the advancement of related landslide researches. (Nothe: The paper related to this dataset has been submitted to \"Scientific Data\" and will be available for download once it is accepted.)","url":"https://doi.org/10.5281/zenodo.14277611","authors":["Fu, Zijin","Wang, Fawu","Ma, Hao","You, Qi","Feng, Youqian"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.5281/zenodo.14277611","addedAt":"2026-08-31T06:39:57.337Z","updatedAt":"2026-08-31T06:39:57.337Z"},{"id":"doi:10.5281/zenodo.14277610","name":"Inventory of shallow landslides triggered by extreme rainfall in July 2024 in Zixing, China","source":"datacite","abstract":"Global climate change has led to the frequent occurrence of extreme meteorological events in recent years, which have in turn triggered severe clustered landslides in mountainous regions. The landslide inventories not only provide post-disaster statistics but also play crucial roles in advancing landslide risk assessment and driving progress in the field of landslide detection. The Rainfall-induced Landslide in Zixing (RLZX) dataset consists of a landslide inventory map (LIM) and a landslide detection dataset (LDD). The RLZX-LIM is created through the visual interpretation of 3D scenes before and after the rainfall event, containing 19,403 shallow landslides triggered by extreme rainfall in Zixing City, China, between July 26 and July 28, 2024. This inventory has reliable quality and has been verified through field investigations and unmanned aerial vehicle (UAV) mapping. The RLZX-LDD is further developed using both UAV and satellite images, offering higher quality and robustness, effectively filling the gap in rainfall-induced LDDs. The related RLZX datasets have been publicly released for free use to promote the advancement of related landslide researches. (Nothe: The paper related to this dataset has been submitted to \"Scientific Data\" and will be available for download once it is accepted.)","url":"https://doi.org/10.5281/zenodo.14277610","authors":["Fu, Zijin","Wang, Fawu","Ma, Hao","You, Qi","Feng, Youqian"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.5281/zenodo.14277610","addedAt":"2026-08-31T06:39:57.337Z","updatedAt":"2026-08-31T06:39:57.337Z"},{"id":"doi:10.48550/arxiv.2411.18519","name":"A Talent-infused Policy-gradient Approach to Efficient Co-Design of Morphology and Task Allocation Behavior of Multi-Robot Systems","source":"datacite","abstract":"Interesting and efficient collective behavior observed in multi-robot or swarm systems emerges from the individual behavior of the robots. The functional space of individual robot behaviors is in turn shaped or constrained by the robot's morphology or physical design. Thus the full potential of multi-robot systems can be realized by concurrently optimizing the morphology and behavior of individual robots, informed by the environment's feedback about their collective performance, as opposed to treating morphology and behavior choices disparately or in sequence (the classical approach). This paper presents an efficient concurrent design or co-design method to explore this potential and understand how morphology choices impact collective behavior, particularly in an MRTA problem focused on a flood response scenario, where the individual behavior is designed via graph reinforcement learning. Computational efficiency in this case is attributed to a new way of near exact decomposition of the co-design problem into a series of simpler optimization and learning problems. This is achieved through i) the identification and use of the Pareto front of Talent metrics that represent morphology-dependent robot capabilities, and ii) learning the selection of Talent best trade-offs and individual robot policy that jointly maximizes the MRTA performance. Applied to a multi-unmanned aerial vehicle flood response use case, the co-design outcomes are shown to readily outperform sequential design baselines. Significant differences in morphology and learned behavior are also observed when comparing co-designed single robot vs. co-designed multi-robot systems for similar operations.","url":"https://doi.org/10.48550/arxiv.2411.18519","authors":["KrisshnaKumar, Prajit","Paul, Steve","Chowdhury, Souma"],"tags":["Robotics (cs.RO)","Multiagent Systems (cs.MA)","FOS: Computer and information sciences","FOS: Computer and information sciences"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.48550/arxiv.2411.18519","addedAt":"2026-08-31T06:39:57.337Z","updatedAt":"2026-08-31T06:39:57.337Z"},{"id":"doi:10.20350/digitalcsic/16672","name":"LiDAR Point Cloud and Digital Elevation Model (DEM) of the Poyo`s Gully (Valencia, Spain) after the impact of the Cut-off Low on October 29, 2024","source":"datacite","abstract":"This repository contains the topographic products generated from Unmanned Aerial Vehicle (UAV) flights equipped with an LiDAR sensor, conducted over the Poyo´s Gully on November 10, 2024, after 12 days of the Cut-Off Low that occurred in Valencia on October 29, 2024. This repository includes a LiDAR point cloud and a centimeter-resolution Digital Elevation Model (DEM), covering the gully course from El Boni area at the Albufera (Latitude: 39.384528º; Longitude: -0.359503°) up to Torrent village (Latitude: 39.442071°; Longitude: -0.455153°). The equipment used were a DJI Zenmuse L2 sensor mounted on the DJI Matrice 300 RTK multirotor UAV, supported by positioning information provided by the EMLID Reach 2 antenna used as a base station. This information is useful for quickly assessing damage of infrastructures or the amount of sediment accumulated along the couser of the Gully, among others. The data will help technicians and managers in assisting in decision-making for restoration and prevention.","url":"https://doi.org/10.20350/digitalcsic/16672","authors":["Román, Alejandro","Tovar-Sánchez, Antonio","Navarro, Gabriel"],"tags":["Digital Elevation Model","Valencia","LiDAR","Drones","DANA"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.20350/digitalcsic/16672","addedAt":"2026-08-31T06:39:57.337Z","updatedAt":"2026-08-31T06:39:57.337Z"},{"id":"doi:10.18154/rwth-2024-09963","name":"Model-based control of cooperative landing maneuvers with fully automated ground and aerial vehicles","source":"datacite","abstract":"Ground-based landing systems as a replacement for regular aircraft landing gears are a promising technology for several reasons, including significant reductions of the aircraft mass, leading to more efficient air transportation. According to the International Air Transport Association (IATA), gearless flying could result in fuel reductions of 10 to 20 % due to reduced weight and drag. One possible implementation of gearless flying for fixed-wing Unmanned Aerial Vehicles (UAVs) is the use of a ground-based landing gear in form of an Unmanned Ground Vehicle (UGV). The automation of cooperative landing maneuvers between UGVs and UAVs requires precise spatial synchronization of the vehicles systems by means of trajectory planning and trajectory tracking control, as well as vehicle-to-vehicle communication, which poses a challenging task from a control engineering perspective. This dissertation addresses multiple components relevant for the Guidance, Navigation, and Control (GNC) of cooperative landing maneuvers between UGVs and fixed-wing UAVs, focussing on the automatic control of the UGV. After a summary of the relevant fundamentals on vehicle navigation, ground vehicle modeling, state estimation, Model Predictive Control (MPC), and differential flatness, the simulation model and model-scale demonstrator vehicle setup is introduced. Based on this, two camera-based methods for estimating the relative pose between the UGV and the UAV using fiducial markers and a Convolutional Neural Network (CNN) with synthetic training data, respectively, are presented and compared with each other. To enable the spatial synchronization between the vehicles during the automated landing, a novel model predictive trajectory planning scheme based on the differential flatness property of kinematic models of the UGV and UAV is presented. The central trajectory planner decouples the horizontal and vertical motion of the vehicles and optimizes feasible trajectories for the UAV and UGV that converge towards each other. For the trajectory following of the UGV, a linear MPC-based trajectory tracking controller is presented. The developed components are validated in simulations, Hardware-in-the-Loop (HiL), and real-world experiments with a model-scale demonstrator vehicle setup.","url":"https://doi.org/10.18154/rwth-2024-09963","authors":["Hebisch, Christoph"],"tags":["Hochschulschrift","model-based control ; automated vehicles ; trajectory planning ; trajectory tracking control ; pose estimation ; modellbasierte Regelung ; automatisierte Fahrzeuge ; Trajektorienplanung ; Trajektorienfolgeregelung ; Posenschätzung"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.18154/rwth-2024-09963","addedAt":"2026-08-31T06:39:57.337Z","updatedAt":"2026-08-31T06:39:57.337Z"},{"id":"doi:10.5285/4c8cfe1b-f426-4cc7-819b-236d1058ea0d","name":"3D density and susceptibility distribution model derived from 2024 gravity and magnetic surveys of Marguerite Bay, West Antarctica","source":"datacite","abstract":"We present a 3D crustal model of density and susceptibility distribution in Marguerite Bay, west Antarctica. The inversion is based on airborne gravity and magnetic data collected with a Windracers Ultra UAV (2023/2024 Antarctic season) with a line spacing of 2 km and a ground clearness of 500m. The inverted densities and susceptibilities allow us to contain and identify large scale 3D intrusion in Marguerite Bay. We provide a CSV file, which contains the coordinates, the depth and the inverted density and susceptibility distribution. This work was funded through \"Protecting environments with unmanned aerial vehicle swarms\" project number 10023377 as part of \"Innovate UK Future flight challenge phase 3\"","url":"https://doi.org/10.5285/4c8cfe1b-f426-4cc7-819b-236d1058ea0d","authors":["Lowe, Maximilian","Jordan, Tom"],"tags":["\"EARTH SCIENCE\",\"SOLID EARTH\",\"GRAVITY/GRAVITATIONAL FIELD\"","\"EARTH SCIENCE\",\"SOLID EARTH\",\"GEOMAGNETISM\"","gravity","joint inversion","magnetics","rock density","susceptibility distribution"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.5285/4c8cfe1b-f426-4cc7-819b-236d1058ea0d","addedAt":"2026-08-31T06:39:57.337Z","updatedAt":"2026-08-31T06:39:57.337Z"},{"id":"doi:10.5285/4bcc9b4e-fab5-46cd-aac3-56c28e61cff1","name":"Processed aeromagnetic line data flown from Rothera station with a Windracers Ultra UAV (2023/24 season)","source":"datacite","abstract":"Airborne magnetic data provides insight into the subsurface geology and tectonic history. This dataset includes processed airborne magnetic data collected over Marguerite Bay during the 2023/2024 Antarctic field season. This survey was carried out as part of a wider UKRI Innovate UK Future Flight-3 SWARM project in collaboration with Windracers Ltd to demonstrate their Ultra Uncrewed Aerial Vehicle (UAV) as a platform for environmental science. As part of this project ~1600 km of new high resolution aeromagnetic data with a ground clearance of 500m was collected around Rothera research station, West Antarctica. Data were acquired using a GEMSys GSMP-35U UAV magnetometer mounted on a Windracers Ultra UAV. Magnetic line data is provided as comma separated ASCII file. This study was funded by Innovate UK through their Future flight challenge support for the \"Protecting environments with unmanned aerial vehicle swarms\" project (reference: 10023377). We thank BAS operations for their support and specifically the BAS air unit and ground support staff whose close cooperation and engagement with the UAV deployment made the project successful. We also thank staff at Windracers and Distributed avionics who provided remote support for UAV operations across the field season.","url":"https://doi.org/10.5285/4bcc9b4e-fab5-46cd-aac3-56c28e61cff1","authors":["Jordan, Tom","Lowe, Maximilian","Robinson, Carl","Reed, Tom","Toomey, Rebecca"],"tags":["\"EARTH SCIENCE\",\"SOLID EARTH\",\"GEOMAGNETISM\"","Antarctic Peninsula","UAV","drone","magnetic","tectonics"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.5285/4bcc9b4e-fab5-46cd-aac3-56c28e61cff1","addedAt":"2026-08-31T06:39:57.337Z","updatedAt":"2026-08-31T06:40:09.764Z"},{"id":"doi:10.48550/arxiv.2411.05586","name":"Tangled Program Graphs as an alternative to DRL-based control algorithms for UAVs","source":"datacite","abstract":"Deep reinforcement learning (DRL) is currently the most popular AI-based approach to autonomous vehicle control. An agent, trained for this purpose in simulation, can interact with the real environment with a human-level performance. Despite very good results in terms of selected metrics, this approach has some significant drawbacks: high computational requirements and low explainability. Because of that, a DRL-based agent cannot be used in some control tasks, especially when safety is the key issue. Therefore we propose to use Tangled Program Graphs (TPGs) as an alternative for deep reinforcement learning in control-related tasks. In this approach, input signals are processed by simple programs that are combined in a graph structure. As a result, TPGs are less computationally demanding and their actions can be explained based on the graph structure. In this paper, we present our studies on the use of TPGs as an alternative for DRL in control-related tasks. In particular, we consider the problem of navigating an unmanned aerial vehicle (UAV) through the unknown environment based solely on the on-board LiDAR sensor. The results of our work show promising prospects for the use of TPGs in control related-tasks.","url":"https://doi.org/10.48550/arxiv.2411.05586","authors":["Szolc, Hubert","Desnos, Karol","Kryjak, Tomasz"],"tags":["Robotics (cs.RO)","Artificial Intelligence (cs.AI)","Systems and Control (eess.SY)","FOS: Computer and information sciences","FOS: Computer and information sciences","FOS: Electrical engineering, electronic engineering, information engineering","FOS: Electrical engineering, electronic engineering, information engineering"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.48550/arxiv.2411.05586","addedAt":"2026-08-31T06:39:57.337Z","updatedAt":"2026-08-31T06:39:57.337Z"},{"id":"doi:10.48550/arxiv.2411.01816","name":"Toward Integrating Semantic-aware Path Planning and Reliable Localization for UAV Operations","source":"datacite","abstract":"Localization is one of the most crucial tasks for Unmanned Aerial Vehicle systems (UAVs) directly impacting overall performance, which can be achieved with various sensors and applied to numerous tasks related to search and rescue operations, object tracking, construction, etc. However, due to the negative effects of challenging environments, UAVs may lose signals for localization. In this paper, we present an effective path-planning system leveraging semantic segmentation information to navigate around texture-less and problematic areas like lakes, oceans, and high-rise buildings using a monocular camera. We introduce a real-time semantic segmentation architecture and a novel keyframe decision pipeline to optimize image inputs based on pixel distribution, reducing processing time. A hierarchical planner based on the Dynamic Window Approach (DWA) algorithm, integrated with a cost map, is designed to facilitate efficient path planning. The system is implemented in a photo-realistic simulation environment using Unity, aligning with segmentation model parameters. Comprehensive qualitative and quantitative evaluations validate the effectiveness of our approach, showing significant improvements in the reliability and efficiency of UAV localization in challenging environments.","url":"https://doi.org/10.48550/arxiv.2411.01816","authors":["Canh, Thanh Nguyen","Ngo, Huy-Hoang","HoangVan, Xiem","Chong, Nak Young"],"tags":["Robotics (cs.RO)","FOS: Computer and information sciences","FOS: Computer and information sciences"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.48550/arxiv.2411.01816","addedAt":"2026-08-31T06:39:57.337Z","updatedAt":"2026-08-31T06:39:57.337Z"},{"id":"doi:10.48550/arxiv.2410.20079","name":"SFTrack: A Robust Scale and Motion Adaptive Algorithm for Tracking Small and Fast Moving Objects","source":"datacite","abstract":"This paper addresses the problem of multi-object tracking in Unmanned Aerial Vehicle (UAV) footage. It plays a critical role in various UAV applications, including traffic monitoring systems and real-time suspect tracking by the police. However, this task is highly challenging due to the fast motion of UAVs, as well as the small size of target objects in the videos caused by the high-altitude and wide angle views of drones. In this study, we thus introduce a simple yet more effective method compared to previous work to overcome these challenges. Our approach involves a new tracking strategy, which initiates the tracking of target objects from low-confidence detections commonly encountered in UAV application scenarios. Additionally, we propose revisiting traditional appearance-based matching algorithms to improve the association of low-confidence detections. To evaluate the effectiveness of our method, we conducted benchmark evaluations on two UAV-specific datasets (VisDrone2019, UAVDT) and one general object tracking dataset (MOT17). The results demonstrate that our approach surpasses current state-of-the art methodologies, highlighting its robustness and adaptability in diverse tracking environments. Furthermore, we have improved the annotation of the UAVDT dataset by rectifying several errors and addressing omissions found in the original annotations. We will provide this refined version of the dataset to facilitate better benchmarking in the field.","url":"https://doi.org/10.48550/arxiv.2410.20079","authors":["Song, InPyo","Lee, Jangwon"],"tags":["Computer Vision and Pattern Recognition (cs.CV)","FOS: Computer and information sciences","FOS: Computer and information sciences"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.48550/arxiv.2410.20079","addedAt":"2026-08-31T06:39:57.337Z","updatedAt":"2026-08-31T06:39:57.337Z"},{"id":"doi:10.48550/arxiv.2410.05996","name":"AIVIO: Closed-loop, Object-relative Navigation of UAVs with AI-aided Visual Inertial Odometry","source":"datacite","abstract":"Object-relative mobile robot navigation is essential for a variety of tasks, e.g. autonomous critical infrastructure inspection, but requires the capability to extract semantic information about the objects of interest from raw sensory data. While deep learning-based (DL) methods excel at inferring semantic object information from images, such as class and relative 6 degree of freedom (6-DoF) pose, they are computationally demanding and thus often not suitable for payload constrained mobile robots. In this letter we present a real-time capable unmanned aerial vehicle (UAV) system for object-relative, closed-loop navigation with a minimal sensor configuration consisting of an inertial measurement unit (IMU) and RGB camera. Utilizing a DL-based object pose estimator, solely trained on synthetic data and optimized for companion board deployment, the object-relative pose measurements are fused with the IMU data to perform object-relative localization. We conduct multiple real-world experiments to validate the performance of our system for the challenging use case of power pole inspection. An example closed-loop flight is presented in the supplementary video.","url":"https://doi.org/10.48550/arxiv.2410.05996","authors":["Jantos, Thomas","Scheiber, Martin","Brommer, Christian","Allak, Eren","Weiss, Stephan","Steinbrener, Jan"],"tags":["Robotics (cs.RO)","FOS: Computer and information sciences","FOS: Computer and information sciences"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.48550/arxiv.2410.05996","addedAt":"2026-08-31T06:39:57.337Z","updatedAt":"2026-08-31T06:39:57.337Z"},{"id":"doi:10.34831/ep.2024.35.51.006","name":"Вопросы проектирования группового тягового электропривода многофункционального беспилотного летательного аппарата на основе компьютерного моделирования","source":"datacite","abstract":"Представлены результаты проектирования и моделирования автономной гибридной энергетической установки для питания электроприводов на базе бесколлекторных электродвигателей постоянного тока в программе Matlab Simulink. Рассчитаны статические моменты на валу электродвигателей и тяга воздушных винтов для каждой группы электроприводов беспилотного летательного аппарата (БПЛА). Указаны возможности модели при имитации аварийных режимов работы. Доказана возможность реализации режима форсированного взлета и посадки БПЛА без перегрузки бортовой энергосистемы.","url":"https://doi.org/10.34831/ep.2024.35.51.006","authors":["Линьков, С.А.","Шеметов, А.Н.","Кувшинов, Д.А.","Абдулвелеев, И.Р."],"tags":["бесколлекторный электродвигатель","генератор","беспилотный летательный аппарат","энергетическая установка","автоматизированный электропривод","воздушный винт","brushless electric motor","generator"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.34831/ep.2024.35.51.006","addedAt":"2026-08-31T06:39:57.337Z","updatedAt":"2026-08-31T06:39:57.337Z"},{"id":"doi:10.48550/arxiv.2410.16943","name":"FlightAR: AR Flight Assistance Interface with Multiple Video Streams and Object Detection Aimed at Immersive Drone Control","source":"datacite","abstract":"The swift advancement of unmanned aerial vehicle (UAV) technologies necessitates new standards for developing human-drone interaction (HDI) interfaces. Most interfaces for HDI, especially first-person view (FPV) goggles, limit the operator's ability to obtain information from the environment. This paper presents a novel interface, FlightAR, that integrates augmented reality (AR) overlays of UAV first-person view (FPV) and bottom camera feeds with head-mounted display (HMD) to enhance the pilot's situational awareness. Using FlightAR, the system provides pilots not only with a video stream from several UAV cameras simultaneously, but also the ability to observe their surroundings in real time. User evaluation with NASA-TLX and UEQ surveys showed low physical demand ($μ=1.8$, $SD = 0.8$) and good performance ($μ=3.4$, $SD = 0.8$), proving better user assessments in comparison with baseline FPV goggles. Participants also rated the system highly for stimulation ($μ=2.35$, $SD = 0.9$), novelty ($μ=2.1$, $SD = 0.9$) and attractiveness ($μ=1.97$, $SD = 1$), indicating positive user experiences. These results demonstrate the potential of the system to improve UAV piloting experience through enhanced situational awareness and intuitive control. The code is available here: https://github.com/Sautenich/FlightAR","url":"https://doi.org/10.48550/arxiv.2410.16943","authors":["Sautenkov, Oleg","Asfaw, Selamawit","Yaqoot, Yasheerah","Mustafa, Muhammad Ahsan","Fedoseev, Aleksey","Trinitatova, Daria","Tsetserukou, Dzmitry"],"tags":["Robotics (cs.RO)","FOS: Computer and information sciences","FOS: Computer and information sciences"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.48550/arxiv.2410.16943","addedAt":"2026-08-31T06:39:57.337Z","updatedAt":"2026-08-31T06:39:57.337Z"},{"id":"doi:10.48550/arxiv.2410.12269","name":"LoD-Loc: Aerial Visual Localization using LoD 3D Map with Neural Wireframe Alignment","source":"datacite","abstract":"We propose a new method named LoD-Loc for visual localization in the air. Unlike existing localization algorithms, LoD-Loc does not rely on complex 3D representations and can estimate the pose of an Unmanned Aerial Vehicle (UAV) using a Level-of-Detail (LoD) 3D map. LoD-Loc mainly achieves this goal by aligning the wireframe derived from the LoD projected model with that predicted by the neural network. Specifically, given a coarse pose provided by the UAV sensor, LoD-Loc hierarchically builds a cost volume for uniformly sampled pose hypotheses to describe pose probability distribution and select a pose with maximum probability. Each cost within this volume measures the degree of line alignment between projected and predicted wireframes. LoD-Loc also devises a 6-DoF pose optimization algorithm to refine the previous result with a differentiable Gaussian-Newton method. As no public dataset exists for the studied problem, we collect two datasets with map levels of LoD3.0 and LoD2.0, along with real RGB queries and ground-truth pose annotations. We benchmark our method and demonstrate that LoD-Loc achieves excellent performance, even surpassing current state-of-the-art methods that use textured 3D models for localization. The code and dataset are available at https://victorzoo.github.io/LoD-Loc.github.io/.","url":"https://doi.org/10.48550/arxiv.2410.12269","authors":["Zhu, Juelin","Yan, Shen","Wang, Long","Zhang, Shengyue","Liu, Yu","Zhang, Maojun"],"tags":["Computer Vision and Pattern Recognition (cs.CV)","FOS: Computer and information sciences","FOS: Computer and information sciences"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.48550/arxiv.2410.12269","addedAt":"2026-08-31T06:39:57.337Z","updatedAt":"2026-08-31T06:39:57.337Z"},{"id":"doi:10.13021/jssr.2024","name":"Journal of Student-Scientists' Research, Vol. 6 (2024)","source":"datacite","abstract":"Abstracts submitted by the Aspiring Scientists Summer Internship Program cohort of 2024. Each describes an 8-week project conducted under faculty mentorship at George Mason University that was publically presented at our in-person or remote research symposiums in August 2024. Congratulations interns on your completion of the program, and thank you for your hard work! (Note: Not every ASSIP 2024 abstract may posted publically. Some projects are the subject of an invention disclosure, are undergoing double-blind peer review as part of a scientific manuscript, or describe findings that are part of a grant submission.)","url":"https://doi.org/10.13021/jssr.2024","authors":["Journal Of Student-Scientists' Research"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.13021/jssr.2024","addedAt":"2026-08-31T06:39:57.337Z","updatedAt":"2026-08-31T06:39:59.809Z"},{"id":"doi:10.48550/arxiv.2407.01084","name":"Mission Planner for UAV Battery Replacement","source":"datacite","abstract":"The paper presents a mission planner for an autonomous unmanned aerial vehicle (UAV) battery management system. The objective of the system is to plan replacements of the UAV's battery on the static battery management stations. The plan ensures that UAVs have sufficient energy to fulfill their long-term mission, which would otherwise be impossible. The paper provides a detailed description of the mission planner and all of its components. The functionality of the planner is successfully demonstrated in simulated multi-UAV multi-station scenarios.","url":"https://doi.org/10.48550/arxiv.2407.01084","authors":["Bouček, Zdeněk","Flídr, Miroslav","Straka, Ondřej"],"tags":["Robotics (cs.RO)","FOS: Computer and information sciences","FOS: Computer and information sciences"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.48550/arxiv.2407.01084","addedAt":"2026-08-31T06:39:57.337Z","updatedAt":"2026-08-31T06:39:57.337Z"},{"id":"doi:10.48550/arxiv.2409.19466","name":"Robot Guided Evacuation with Viewpoint Constraints","source":"datacite","abstract":"We present a viewpoint-based non-linear Model Predictive Control (MPC) for evacuation guiding robots. Specifically, the proposed MPC algorithm enables evacuation guiding robots to track and guide cooperative human targets in emergency scenarios. Our algorithm accounts for the environment layout as well as distances between the robot and human target and distance to the goal location. A key challenge for evacuation guiding robot is the trade-off between its planned motion for leading the target toward a goal position and staying in the target's viewpoint while maintaining line-of-sight for guiding. We illustrate the effectiveness of our proposed evacuation guiding algorithm in both simulated and real-world environments with an Unmanned Aerial Vehicle (UAV) guiding a human. Our results suggest that using the contextual information from the environment for motion planning, increases the visibility of the guiding UAV to the human while achieving faster total evacuation time.","url":"https://doi.org/10.48550/arxiv.2409.19466","authors":["Chen, Gong","Meghjani, Malika","Prasetyo, Marcel Bartholomeus"],"tags":["Robotics (cs.RO)","FOS: Computer and information sciences","FOS: Computer and information sciences"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.48550/arxiv.2409.19466","addedAt":"2026-08-31T06:39:57.337Z","updatedAt":"2026-08-31T06:39:57.337Z"},{"id":"doi:10.48550/arxiv.2312.06719","name":"SkyScenes: A Synthetic Dataset for Aerial Scene Understanding","source":"datacite","abstract":"Real-world aerial scene understanding is limited by a lack of datasets that contain densely annotated images curated under a diverse set of conditions. Due to inherent challenges in obtaining such images in controlled real-world settings, we present SkyScenes, a synthetic dataset of densely annotated aerial images captured from Unmanned Aerial Vehicle (UAV) perspectives. We carefully curate SkyScenes images from CARLA to comprehensively capture diversity across layouts (urban and rural maps), weather conditions, times of day, pitch angles and altitudes with corresponding semantic, instance and depth annotations. Through our experiments using SkyScenes, we show that (1) models trained on SkyScenes generalize well to different real-world scenarios, (2) augmenting training on real images with SkyScenes data can improve real-world performance, (3) controlled variations in SkyScenes can offer insights into how models respond to changes in viewpoint conditions (height and pitch), weather and time of day, and (4) incorporating additional sensor modalities (depth) can improve aerial scene understanding. Our dataset and associated generation code are publicly available at: https://hoffman-group.github.io/SkyScenes/","url":"https://doi.org/10.48550/arxiv.2312.06719","authors":["Khose, Sahil","Pal, Anisha","Agarwal, Aayushi","Deepanshi","Hoffman, Judy","Chattopadhyay, Prithvijit"],"tags":["Computer Vision and Pattern Recognition (cs.CV)","FOS: Computer and information sciences","FOS: Computer and information sciences"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2023","doi":"10.48550/arxiv.2312.06719","addedAt":"2026-08-31T06:39:57.337Z","updatedAt":"2026-08-31T06:39:57.337Z"},{"id":"doi:10.5281/zenodo.13150843","name":"AAU_Multi_Agent_UVDAR_Dataset","source":"datacite","abstract":"AAU_Multi_Agent_UVDAR_Dataset ## Introduction The aim of the dataset is to collect relative position measurements (with the origin in the body of the vehicle) between a set of UAVs with precise groundtruthing through a motion capture system for evaluations. This dataset was recorded in the [Dronehall](https://www.aau.at/en/research/research-profile/the-drone-hall-at-the-university-of-klagenfurt/) of the University Klagenfurt, with three autonomous [F450](https://github.com/ctu-mrs/mrs_uav_system?tab=readme-ov-file#unmanned-aerial-vehicles) unmanned aerial vehicles (UAVs) from [Multi-robot Systems (MRS) group](http://mrs.felk.cvut.cz/) of the [Czech Technical University in Prague](https://www.cvut.cz/en). The UAVs were equipped with the [UVDAR system](https://github.com/ctu-mrs/uvdar_core), a planar scanning LIDAR sensor (RPLIDAR A3), a laser range finder (Garmin LidarLite V3) and a Pixhawk 6C flight controller.The UVDAR system is a visual mutual relative localization (position and orientation) system for cooperating micro-scale UAVs based on ultraviolet-sensitive cameras and blinking ultraviolet markers.Note: the UVDAR system was configured to provide relative position information only, thus the estimated orientation is wrong and set to identity! To assess the measurements obtained from the UVDAR system, a [relative pose evaluation python package] was implemented. To evaluate the measurments recorded, execute the [eval.sh](./tools/eval.sh) script in the `tools` folder, which creates a folder `eval` in the root of that directory with various plots and statistics for each sequence listed below. Note that the package needs to be installed first, see below. A hybrid dataset with a synthetic Gaussian measurement noise for the UVDAR measurement can be generated with the [add_noise.sh](./tools/add_noise.sh) script. Each sequence contains the recored bag file in the root, the ground truth pose of the UAVs in a CSV file, and image of the 3D trajectory and a subfolder `hybrid` (syntehthic UVDAR measurmeents with a standard deviation of 0.3 m for the position and 0.1 rad for the orientation). Different synthetic datasets can be generated on demand by running [add_synthetic_meas](./tools/add_synthetic_meas.sh) in the `tools` folder. ## Setup ```pip install --upgrade cnspy-relative-pose-evaluation``` ## Sequences | Name | # | Notes | Trajectory length [m] | D [s] | UAVs | |---------------------------|----|----------------------------------------------------------------------------------------------------------------------------|-----------------------|-------|--------------| | static_test | 3 | Agents standing still on the ground. Agents were facing each other | {4.3, 0.65, 0.31} | 86 | {10, 11, 12} | | one_takesoff_two_onground | 3 | Agents on the ground, one hovering and later manually controlled | {0.33, 21.5, 3.5} | 222 | {10, 11, 12} | | two_takeoff_land | 2 | Agents (10+12) hovering, one lands earlier (battery low) | {4.7, 3.6} m | 89 | {10, 12} | | two_yaxis_looped | 2 | Agents (10+12) were facing each other, they hovered for a while, and started moving in their y-axis. One landed mid flight | {27.1, 16.3} | 25 | {10, 12} | | two_yaxis_looped2 | 2 | Agents (10+12) were facing each other and started moving in their y-axis. | {26.4, 17.7} | 149 | {10, 12} | | two_octagon | 2 | Agents were facing each other and performed a octagon | {44.3, 41.6} | 171 | {10, 11} | | two_spiral_2to3m | 2 | Spiral from 2m to 3m (one loop), drones facing each other | {45.6, 42.4} | 158 | {10, 11} | | two_spiral_2to4m | 2 | Spirals from 2m to 4m (two loops), drones facing each other, one drone landed mid flight. | {33.8, 45.7} | 188 | {10, 11} | | two_octagon_one90deg | 2 | Agents were facing each other 90 deg shifted and performed an octagon | {40, 36.7} | 154 | {10, 11} | | two_loiter_one90deg | 2 | Agents facing each other at 2m height, while loitering | {37.1, 35.3} | 197 | {10, 11} | | two_yaxis_one_hovers | 3 | Two agents along y-axis, one hovers, on","url":"https://doi.org/10.5281/zenodo.13150843","authors":["Jung, Roland","Horyna, Jiri","Saska, Martin","Weiss, Stephan"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.5281/zenodo.13150843","addedAt":"2026-08-31T06:39:57.337Z","updatedAt":"2026-08-31T06:39:57.337Z"},{"id":"doi:10.5281/zenodo.13150844","name":"AAU_Multi_Agent_UVDAR_Dataset","source":"datacite","abstract":"AAU_Multi_Agent_UVDAR_Dataset ## Introduction The aim of the dataset is to collect relative position measurements (with the origin in the body of the vehicle) between a set of UAVs with precise groundtruthing through a motion capture system for evaluations. This dataset was recorded in the [Dronehall](https://www.aau.at/en/research/research-profile/the-drone-hall-at-the-university-of-klagenfurt/) of the University Klagenfurt, with three autonomous [F450](https://github.com/ctu-mrs/mrs_uav_system?tab=readme-ov-file#unmanned-aerial-vehicles) unmanned aerial vehicles (UAVs) from [Multi-robot Systems (MRS) group](http://mrs.felk.cvut.cz/) of the [Czech Technical University in Prague](https://www.cvut.cz/en). The UAVs were equipped with the [UVDAR system](https://github.com/ctu-mrs/uvdar_core), a planar scanning LIDAR sensor (RPLIDAR A3), a laser range finder (Garmin LidarLite V3) and a Pixhawk 6C flight controller.The UVDAR system is a visual mutual relative localization (position and orientation) system for cooperating micro-scale UAVs based on ultraviolet-sensitive cameras and blinking ultraviolet markers.Note: the UVDAR system was configured to provide relative position information only, thus the estimated orientation is wrong and set to identity! To assess the measurements obtained from the UVDAR system, a [relative pose evaluation python package] was implemented. To evaluate the measurments recorded, execute the [eval.sh](./tools/eval.sh) script in the tools folder, which creates a folder `eval` in the root of that directory with various plots and statistics for each sequence listed below. Note that the package needs to be installed first, see below. A hybrid dataset with a synthetic Gaussian measurement noise for the UVDAR measurement can be generated with the [add_noise.sh](./tools/add_noise.sh) script. Each sequence contains the recored bag file in the root, the ground truth pose of the UAVs in a CSV file, and image of the 3D trajectory and a subfolder `real` (orientation measurements set to identity) and `hybrid` (syntehthic UVDAR measurmeents with a standard deviation of 0.2m for the position and 0.2 rad for the orientation). Different synthetic datasets can be generated on demand. ## Setup ```pip install --upgrade cnspy-relative-pose-evaluation``` ## Sequences ## Contained topics: ```topics: /tf 300628 msgs : tf2_msgs/TFMessage /tf_static 24 msgs : tf2_msgs/TFMessage /uav10/data_handler/uvdar_fcu 321 msgs : mrs_msgs/PoseWithCovarianceArrayStamped /uav10/hector_mapping/slam_out_pose 1692 msgs : geometry_msgs/PoseStamped /uav10/hw_api/distance_sensor 11189 msgs : sensor_msgs/Range /uav10/hw_api/status 26451 msgs : mrs_msgs/HwApiStatus /uav10/mavros/distance_sensor/garmin 11188 msgs : sensor_msgs/Range /uav10/mavros/extended_state 132 msgs : mavros_msgs/ExtendedState /uav10/mavros/imu/data 13200 msgs : sensor_msgs/Imu /uav10/mavros/imu/data_raw 13198 msgs : sensor_msgs/Imu /uav10/mavros/imu/mag 11472 msgs : sensor_msgs/MagneticField /uav10/mavros/imu/static_pressure 2452 msgs : sensor_msgs/FluidPressure /uav10/mavros/imu/temperature_imu 2452 msgs : sensor_msgs/Temperature /uav10/mavros/state 13198 msgs : mavros_msgs/State /uav10/mrs_uav_status/uav_status 132 msgs : mrs_msgs/UavStatus /uav10/mrs_uav_status/uav_status_short 1188 msgs : mrs_msgs/UavStatusShort /uav10/rplidar/scan_raw 1697 msgs : sensor_msgs/LaserScan /uav10/uvdar/measuredPosesL 170 msgs : mrs_msgs/PoseWithCovarianceArrayStamped /uav10/uvdar/measuredPosesR 245 msgs : mrs_msgs/PoseWithCovarianceArrayStamped /uav10/vrpn_client/estimated_odometry 7252 msgs : nav_msgs/Odometry /uav10/vrpn_client/estimated_transform 7252 msgs : geometry_msgs/TransformStamped /uav10/vrpn_client/raw_pose 7252 msgs : geometry_msgs/PoseStamped /uav10/vrpn_client/raw_transform 7252 msgs : geometry_msgs/TransformStamped /uav11/data_handler/uvdar_fcu 466 msgs : mrs_msgs/PoseWithCovarianceArrayStamped /uav11/hector_mapping/slam_out_pose 1662 msgs : geometry_msgs/PoseStamped /uav11/hw_api/d","url":"https://doi.org/10.5281/zenodo.13150844","authors":["Jung, Roland","Horyna, Jiri","Saska, Martin","Weiss, Stephan"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.5281/zenodo.13150844","addedAt":"2026-08-31T06:39:57.337Z","updatedAt":"2026-08-31T06:39:57.337Z"},{"id":"doi:10.5281/zenodo.13768604","name":"AAU_Multi_Agent_UVDAR_Dataset","source":"datacite","abstract":"AAU_Multi_Agent_UVDAR_Dataset ## Introduction The aim of the dataset is to collect relative position measurements (with the origin in the body of the vehicle) between a set of UAVs with precise groundtruthing through a motion capture system for evaluations. This dataset was recorded in the [Dronehall](https://www.aau.at/en/research/research-profile/the-drone-hall-at-the-university-of-klagenfurt/) of the University Klagenfurt, with three autonomous [F450](https://github.com/ctu-mrs/mrs_uav_system?tab=readme-ov-file#unmanned-aerial-vehicles) unmanned aerial vehicles (UAVs) from [Multi-robot Systems (MRS) group](http://mrs.felk.cvut.cz/) of the [Czech Technical University in Prague](https://www.cvut.cz/en). The UAVs were equipped with the [UVDAR system](https://github.com/ctu-mrs/uvdar_core), a planar scanning LIDAR sensor (RPLIDAR A3), a laser range finder (Garmin LidarLite V3) and a Pixhawk 6C flight controller.The UVDAR system is a visual mutual relative localization (position and orientation) system for cooperating micro-scale UAVs based on ultraviolet-sensitive cameras and blinking ultraviolet markers.Note: the UVDAR system was configured to provide relative position information only, thus the estimated orientation is wrong and set to identity! To assess the measurements obtained from the UVDAR system, a [relative pose evaluation python package] was implemented. To evaluate the measurments recorded, execute the [eval.sh](./tools/eval.sh) script in the `tools` folder, which creates a folder `eval` in the root of that directory with various plots and statistics for each sequence listed below. Note that the package needs to be installed first, see below. A hybrid dataset with a synthetic Gaussian measurement noise for the UVDAR measurement can be generated with the [add_noise.sh](./tools/add_noise.sh) script. Each sequence contains the recored bag file in the root, the ground truth pose of the UAVs in a CSV file, and image of the 3D trajectory and a subfolder `hybrid` (syntehthic UVDAR measurmeents with a standard deviation of 0.3 m for the position and 0.1 rad for the orientation). Different synthetic datasets can be generated on demand by running [add_synthetic_meas](./tools/add_synthetic_meas.sh) in the `tools` folder. ## Setup ```pip install --upgrade cnspy-relative-pose-evaluation``` ## Sequences | Name | # | Notes | Trajectory length [m] | D [s] | UAVs | |---------------------------|----|----------------------------------------------------------------------------------------------------------------------------|-----------------------|-------|--------------| | static_test | 3 | Agents standing still on the ground. Agents were facing each other | {4.3, 0.65, 0.31} | 86 | {10, 11, 12} | | one_takesoff_two_onground | 3 | Agents on the ground, one hovering and later manually controlled | {0.33, 21.5, 3.5} | 222 | {10, 11, 12} | | two_takeoff_land | 2 | Agents (10+12) hovering, one lands earlier (battery low) | {4.7, 3.6} m | 89 | {10, 12} | | two_yaxis_looped | 2 | Agents (10+12) were facing each other, they hovered for a while, and started moving in their y-axis. One landed mid flight | {27.1, 16.3} | 25 | {10, 12} | | two_yaxis_looped2 | 2 | Agents (10+12) were facing each other and started moving in their y-axis. | {26.4, 17.7} | 149 | {10, 12} | | two_octagon | 2 | Agents were facing each other and performed a octagon | {44.3, 41.6} | 171 | {10, 11} | | two_spiral_2to3m | 2 | Spiral from 2m to 3m (one loop), drones facing each other | {45.6, 42.4} | 158 | {10, 11} | | two_spiral_2to4m | 2 | Spirals from 2m to 4m (two loops), drones facing each other, one drone landed mid flight. | {33.8, 45.7} | 188 | {10, 11} | | two_octagon_one90deg | 2 | Agents were facing each other 90 deg shifted and performed an octagon | {40, 36.7} | 154 | {10, 11} | | two_loiter_one90deg | 2 | Agents facing each other at 2m height, while loitering | {37.1, 35.3} | 197 | {10, 11} | | two_yaxis_one_hovers | 3 | Two agents along y-axis, one hovers, on","url":"https://doi.org/10.5281/zenodo.13768604","authors":["Jung, Roland","Horyna, Jiri","Saska, Martin","Weiss, Stephan"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.5281/zenodo.13768604","addedAt":"2026-08-31T06:39:57.337Z","updatedAt":"2026-08-31T06:39:57.337Z"},{"id":"doi:10.48550/arxiv.2409.06834","name":"Probabilistically safe controllers based on control barrier functions and scenario model predictive control","source":"datacite","abstract":"Control barrier functions (CBFs) offer an efficient framework for designing real-time safe controllers. However, CBF-based controllers can be short-sighted, resulting in poor performance, a behaviour which is aggravated in uncertain conditions. This motivated research on safety filters based on model predictive control (MPC) and its stochastic variant. MPC deals with safety constraints in a direct manner, however, its computational demands grow with the prediction horizon length. We propose a safety formulation that solves a finite horizon optimization problem at each time instance like MPC, but rather than explicitly imposing constraints along the prediction horizon, we enforce probabilistic safety constraints by means of CBFs only at the first step of the horizon. The probabilistic CBF constraints are transformed in a finite number of deterministic CBF constraints via the scenario based methodology. Capitalizing on results on scenario based MPC, we provide distribution-free, \\emph{a priori} guarantees on the system's closed loop expected safety violation frequency. We demonstrate our results through a case study on unmanned aerial vehicle collision-free position swapping, and provide a numerical comparison with recent stochastic CBF formulations.","url":"https://doi.org/10.48550/arxiv.2409.06834","authors":["Nascimento, Allan Andre do","Papachristodoulou, Antonis","Margellos, Kostas"],"tags":["Systems and Control (eess.SY)","FOS: Electrical engineering, electronic engineering, information engineering","FOS: Electrical engineering, electronic engineering, information engineering"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.48550/arxiv.2409.06834","addedAt":"2026-08-31T06:39:57.337Z","updatedAt":"2026-08-31T06:39:57.337Z"},{"id":"doi:10.48550/arxiv.2408.11429","name":"Long-Range Vision-Based UAV-assisted Localization for Unmanned Surface Vehicles","source":"datacite","abstract":"The global positioning system (GPS) has become an indispensable navigation method for field operations with unmanned surface vehicles (USVs) in marine environments. However, GPS may not always be available outdoors because it is vulnerable to natural interference and malicious jamming attacks. Thus, an alternative navigation system is required when the use of GPS is restricted or prohibited. To this end, we present a novel method that utilizes an Unmanned Aerial Vehicle (UAV) to assist in localizing USVs in GNSS-restricted marine environments. In our approach, the UAV flies along the shoreline at a consistent altitude, continuously tracking and detecting the USV using a deep learning-based approach on camera images. Subsequently, triangulation techniques are applied to estimate the USV's position relative to the UAV, utilizing geometric information and datalink range from the UAV. We propose adjusting the UAV's camera angle based on the pixel error between the USV and the image center throughout the localization process to enhance accuracy. Additionally, visual measurements are integrated into an Extended Kalman Filter (EKF) for robust state estimation. To validate our proposed method, we utilize a USV equipped with onboard sensors and a UAV equipped with a camera. A heterogeneous robotic interface is established to facilitate communication between the USV and UAV. We demonstrate the efficacy of our approach through a series of experiments conducted during the ``Muhammad Bin Zayed International Robotic Challenge (MBZIRC-2024)'' in real marine environments, incorporating noisy measurements and ocean disturbances. The successful outcomes indicate the potential of our method to complement GPS for USV navigation.","url":"https://doi.org/10.48550/arxiv.2408.11429","authors":["Akram, Waseem","Yang, Siyuan","Kuang, Hailiang","He, Xiaoyu","Din, Muhayy Ud","Dong, Yihao","Lin, Defu","Seneviratne, Lakmal","He, Shaoming","Hussain, Irfan"],"tags":["Robotics (cs.RO)","Artificial Intelligence (cs.AI)","FOS: Computer and information sciences","FOS: Computer and information sciences"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.48550/arxiv.2408.11429","addedAt":"2026-08-31T06:39:57.337Z","updatedAt":"2026-08-31T06:39:57.337Z"},{"id":"doi:10.48550/arxiv.2405.02338","name":"Surrealism Me: Interactive Virtual Embodying Experiences in Mixed Reality","source":"datacite","abstract":"This paper introduces an interactive Mixed Reality (MR) experience and artistic inquiry entitled ``Surrealism Me'' which delves into Vilém Flusser's critique of media as mediators that often distort human perception of reality and diminish freedom, particularly within the context of MR technology. It engages with Flusser's theories by allowing participants to experience a two-phase virtual embodying (i.e., another body) in MR, highlighting the complex interplay between human agency, body ownership, and self-location. Initially, the participant manipulates their virtual body through various inputs or chooses AI-generated movements. Then, the interactive MR experience leads to an immersive phase where an Unmanned Aerial Vehicle (UAV) extends their sensory perceptions, embodying the virtual body's perspective. ``Surrealism Me'' confronts the concept of ``playing against the apparatus'' by offering an interactive milieu where human and AI collaboratively explore the program's capacity limitation, thereby challenging and exhausting the potential of technology. This process further critically examines the obfuscating nature of media; as the MR medium breaks down, the work reveals the constructed nature of media-projected realities, prompting a reevaluation of media's role and influence on our perception. By navigating the boundary between real and virtual, ``Surrealism Me'' fosters a critical discourse on media's dominance and advocates for a nuanced understanding of Flusserian freedom, encouraging participants to question and reflect on the authentic and mediated experiences of reality.","url":"https://doi.org/10.48550/arxiv.2405.02338","authors":["Zhou, Aven Le"],"tags":["Human-Computer Interaction (cs.HC)","FOS: Computer and information sciences","FOS: Computer and information sciences"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.48550/arxiv.2405.02338","addedAt":"2026-08-31T06:39:57.337Z","updatedAt":"2026-08-31T06:39:57.337Z"},{"id":"doi:10.48550/arxiv.2408.09232","name":"Intuitive Human-Robot Interface: A 3-Dimensional Action Recognition and UAV Collaboration Framework","source":"datacite","abstract":"Harnessing human movements to command an Unmanned Aerial Vehicle (UAV) holds the potential to revolutionize their deployment, rendering it more intuitive and user-centric. In this research, we introduce a novel methodology adept at classifying three-dimensional human actions, leveraging them to coordinate on-field with a UAV. Utilizing a stereo camera, we derive both RGB and depth data, subsequently extracting three-dimensional human poses from the continuous video feed. This data is then processed through our proposed k-nearest neighbour classifier, the results of which dictate the behaviour of the UAV. It also includes mechanisms ensuring the robot perpetually maintains the human within its visual purview, adeptly tracking user movements. We subjected our approach to rigorous testing involving multiple tests with real robots. The ensuing results, coupled with comprehensive analysis, underscore the efficacy and inherent advantages of our proposed methodology.","url":"https://doi.org/10.48550/arxiv.2408.09232","authors":["Chaudhary, Akash","Nascimento, Tiago","Saska, Martin"],"tags":["Robotics (cs.RO)","FOS: Computer and information sciences","FOS: Computer and information sciences"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.48550/arxiv.2408.09232","addedAt":"2026-08-31T06:39:57.337Z","updatedAt":"2026-08-31T06:39:57.337Z"},{"id":"doi:10.48550/arxiv.2407.17321","name":"Energy Efficiency Optimization in Integrated Satellite-Terrestrial UAV-Enabled Cell-Free Massive MIMO","source":"datacite","abstract":"Integrating cell-free massive MIMO (CF-mMIMO) into satellite-unmanned aerial vehicle (UAV) networks offers an effective solution for enhancing connectivity. In this setup, UAVs serve as access points (APs) of a terrestrial CF-mMIMO network extending the satellite network capabilities, thereby ensuring robust, high-quality communication links. In this work, we propose a successive convex approximation algorithm for maximizing the downlink energy efficiency (EE) at the UAVs under per-UAV power budget and user quality-of-service constraints. We derive a closed-form expression for the EE that accounts for maximum-ratio transmission and statistical channel knowledge at the users. Simulation results show the effectiveness of the proposed algorithm in maximizing the EE at the UAV layer. Moreover, we observe that a few tens of UAVs transmitting with a fine-tuned power are sufficient to empower the service of satellite networks and significantly increase the spectral efficiency.","url":"https://doi.org/10.48550/arxiv.2407.17321","authors":["Tran, Thong-Nhat","Interdonato, Giovanni"],"tags":["Information Theory (cs.IT)","Signal Processing (eess.SP)","FOS: Computer and information sciences","FOS: Computer and information sciences","FOS: Electrical engineering, electronic engineering, information engineering","FOS: Electrical engineering, electronic engineering, information engineering"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.48550/arxiv.2407.17321","addedAt":"2026-08-31T06:39:57.337Z","updatedAt":"2026-08-31T06:39:57.337Z"},{"id":"doi:10.48550/arxiv.2406.07374","name":"Movable-Antenna Array Empowered ISAC Systems for Low-Altitude Economy","source":"datacite","abstract":"This paper investigates a movable-antenna (MA) array empowered integrated sensing and communications (ISAC) over low-altitude platform (LAP) system to support low-altitude economy (LAE) applications. In the considered system, an unmanned aerial vehicle (UAV) is dispatched to hover in the air, working as the UAV-enabled LAP (ULAP) to provide information transmission and sensing simultaneously for LAE applications. To improve the throughput capacity and meet the requirement of the sensing beampattern threshold, we formulate a data rate maximization problem by jointly optimizing the transmit information and sensing beamforming, and the antenna positions of the MA array. Since the data rate maximization problem is non-convex with highly coupled variables, we propose an efficient alternation optimization based algorithm, which iteratively optimizes parts of the variables while fixing the others. Numerical results show the superiority of the proposed MA array-based scheme in terms of the achievable data rate and beamforming gain compared with two benchmark schemes.","url":"https://doi.org/10.48550/arxiv.2406.07374","authors":["Kuang, Ziming","Liu, Wenchao","Wang, Chunjie","Jin, Zhenzhen","Ren, Jinke","Zhang, Xuhui","Shen, Yanyan"],"tags":["Signal Processing (eess.SP)","FOS: Electrical engineering, electronic engineering, information engineering","FOS: Electrical engineering, electronic engineering, information engineering"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.48550/arxiv.2406.07374","addedAt":"2026-08-31T06:39:57.337Z","updatedAt":"2026-08-31T06:39:57.337Z"},{"id":"doi:10.48550/arxiv.2407.04719","name":"UAV-Assisted Weather Radar Calibration: A Theoretical Model for Wind Influence on Metal Sphere Reflectivity","source":"datacite","abstract":"The calibration of weather radar for detecting meteorological phenomena has advanced rapidly, aiming to enhance accuracy. Utilizing an unmanned aerial vehicle (UAV) equipped with a suspended metal sphere introduces an efficient calibration method by allowing dynamic adjustment of the UAV's position, effectively acting as a mobile calibration platform. However, external factors such as wind can introduce bias in reflectivity measurements by causing the sphere to deviate from its intended position. This study develops a theoretical model to assess the impact of the metal sphere's one-dimensional oscillation on reflectivity. The findings offer valuable insights for UAV based radar calibration efforts.","url":"https://doi.org/10.48550/arxiv.2407.04719","authors":["Zhao, Jiabiao","Li, Da","Cui, Jiayuan","Sun, Houjun","Ma, Jianjun"],"tags":["Signal Processing (eess.SP)","FOS: Electrical engineering, electronic engineering, information engineering","FOS: Electrical engineering, electronic engineering, information engineering"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.48550/arxiv.2407.04719","addedAt":"2026-08-31T06:39:57.337Z","updatedAt":"2026-08-31T06:39:57.337Z"},{"id":"doi:10.6084/m9.figshare.25340452","name":"Dataset associated with “Bare Patches Created by Plateau Pikas Contribute to Warming Permafrost on the Tibet Plateau” submitted to GRL (2024)","source":"datacite","abstract":"This dataset is associated with Bare Patches Created by Plateau Pikas Contribute to Warming Permafrost on the Tibet Plateau submitted to GRL (2024), including (i) maps illustrating the difference in soil temperature (ST) between scenarios with and without pika disturbance; (ii) maps illustrating the difference in soil water content (SWC); (iii) a surface entrance density map of plateau pikas and (iv) a map depicting the fraction of bare patches induced by plateau pikas. All data are provided as GeoTIFF (.tif) files in a geographic coordinate system of WGS_1984.1. “ST_difference_soilayer[n]_[2.5cm, 66cm, 184cm, 370cm]_2015_2018_[June, July, August, September].tif” is the difference in soil temperature (°C) of the n-th layer at a certain depth with and without pika disturbance averaged from 2015-2018 in June, July, August and September, respectively. These values are derived from simulations by implementing scenarios with and without pika disturbance using the Noah-MP model.2. “SWC_difference_soilayer[n]_[2.5cm, 66cm, 184cm, 370cm]_2015_2018_[June, July, August, September].tif” is the difference in soil water content (m 3 /m 3 ) of n-th layer at a certain depth with and without pika disturbance averaged from 2015-2018 in June, July, August and September, respectively. These values are derived from simulations by implementing scenarios with and without pika disturbance using the Noah-MP model.3. “pika_surface_entrance_density_1km.tif” is the surface entrance density map of plateau pikas, simulated using a stochastic model based on the habitat suitability of plateau pikas.4. “pika_induced_bare_patch_fraction_10km.tif” is the pika-induced bare patch fraction, estimated using an empirical model fitted from Unmanned Aerial Vehicle data.","url":"https://doi.org/10.6084/m9.figshare.25340452","authors":["Chen, Yuhong","Nan, Zhuotong","Zhao, Shuping"],"tags":["Ecology not elsewhere classified","Soil physics","Environmental geography"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.6084/m9.figshare.25340452","addedAt":"2026-08-31T06:39:57.337Z","updatedAt":"2026-08-31T06:39:57.337Z"},{"id":"doi:10.5281/zenodo.11109782","name":"The Glaciers of the Dolomites: last 40 years of melting","source":"datacite","abstract":"This dataset refers to: Securo, A., Del Gobbo, C., Baccolo, G., Barbante, C., Citterio, M., De Blasi, F., Marcer, M., Valt, M., and Colucci, R. R.: The Glaciers of the Dolomites: last 40 years of melting, EGUsphere [preprint], https://doi.org/10.5194/egusphere-2024-1357, 2024. Read more here: https://egusphere.copernicus.org/preprints/2024/egusphere-2024-1357/ The study presents a multi-decadal (1980s-2023) estimation of surface elevation change and geodetic mass balance of the current mountain glaciers present in the area. Calculations are based on geodetic data: high resolution and accuracy is obtained with unmanned aerial vehicle (UAV) Structure from Motion (SfM) and airborne Light Detection and Ranging (LiDAR), from 2010 to 2023. SfM on historical aerial imagery is used for previous decades. The dataset contains: 1-band raster files (.tif) with the M3C2 (Multi Scale Model to Model Cloud Comparison) distance calculations from all mountain glaciers of the Dolomites, computed on common glacier area between the two periods. File names are as following: \"AreaID_glaciername_year1_year2.tif\"SR Monte Mario / Italy zone 2 - EPSG:3004 Geopackage (.gpkg) files with glaciers area during different periods. Polygon have the following attributes: Area ID, Glacier name, CGI-ID (Comitato Glaciologico Italiano), RGI-ID (Randoph Glacier Inventory), Area, Year.SR WGS84 - EPSG: 4326 Additional 3D models of the Dolomites Glaciers in 2023 can be found here: Sketchfab Full file list: \"1_Popera_2010_2014.tif\"\"1_Popera_Alto_1992_2010.tif\"\"1_Popera_Alto_2010_2023.tif\"\"1_Popera_Alto_2014_2023.tif\"\"1_Popera_Pensile_1992_2010.tif\"\"1_Popera_Pensile_2010_2023.tif\"\"1_Popera_Pensile_2014_2023.tif\"\"2_Cristallo_1992_2010.tif\"\"2_Cristallo_2010_2014.tif\"\"2_Cristallo_2010_2023.tif\"\"2_Cristallo_2014_2023.tif\"\"3_Sorapiss_Occidentale_1980_2010.tif\"\"3_Sorapiss_Occidentale_2010_2014.tif\"\"3_Sorapiss_Occidentale_2010_2023.tif\"\"3_Sorapiss_Occidentale_2014_2023.tif\"\"4_Antelao_2010_2014.tif\"\"4_Antelao_Inferiore_1982_2010.tif\"\"4_Antelao_Inferiore_2010_2023.tif\"\"4_Antelao_Inferiore_2014_2023.tif\"\"4_Antelao_Superiore_1982_2010.tif\"\"4_Antelao_Superiore_2010_2023.tif\"\"4_Antelao_Superiore_2014_2023.tif\"\"5_Marmolada_1982_2010.tif\"\"5_Marmolada_2010_2014.tif\"\"5_Marmolada_2010_2023.tif\"\"5_Marmolada_2014_2023.tif\"\"6_Fradusta_1982_2010.tif\"\"6_Fradusta_2010_2014.tif\"\"6_Fradusta_2010_2023.tif\"\"6_Fradusta_2014_2023.tif\"\"6_Travignolo_1982_2010.tif\"\"6_Travignolo_2010_2014.tif\"\"6_Travignolo_2010_2023.tif\"\"6_Travignolo_2014_2023.tif\" \"area_dolomites_glaciers.gpkg\"\"area_dolomites_glaciers_1980s_1990s.gpkg\"\"area_dolomites_glaciers_2010.gpkg\"\"area_dolomites_glaciers_2023.gpkg\"","url":"https://doi.org/10.5281/zenodo.11109782","authors":["Andrea Securo","Costanza Del Gobbo","Giovanni Baccolo","Carlo Barbante","Michele Citterio","Fabrizio De Blasi","Marco Marcer","Mauro Valt","Renato R. Colucci"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.5281/zenodo.11109782","addedAt":"2026-08-31T06:39:57.337Z","updatedAt":"2026-08-31T06:39:57.337Z"},{"id":"doi:10.60797/irj.2024.144.178","name":"ВЫБОР СХЕМЫ БЕСПИЛОТНОГО ЛЕТАТЕЛЬНОГО АППАРАТА САМОЛЕТНОГО ТИПА С ВЕРТИКАЛЬНЫМ ВЗЛЕТОМ И ПОСАДКОЙ","source":"datacite","abstract":"Применение современных беспилотных летательных аппаратов является одним из ключевых направлений мировой транспортной системы. Их применение в труднодоступных регионах мира позволяет значительно автоматизировать логистику, что, в свою очередь, приводит к снижению операционных издержек. При этом развитие транспортной логистики играет значительную роль в развитии отдаленных регионов. В работе показан подход к выбору схемы беспилотного летательного аппарата, позволяющего эффективно решать логистические задачи в условиях эксплуатации на неподготовленных площадках, основанный на определении минимальной относительной массы силовой установки и топлива для требуемой взлетной массы летательного аппарата.","url":"https://doi.org/10.60797/irj.2024.144.178","authors":["Ушаков, Илья","Федоров, Роман"],"tags":["unmanned aerial vehicle","propulsion system","relative mass of propulsion system","scheme analysis","scheme classification","беспилотный летательный аппарат","силовая установка","относительная масса силовой установки"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.60797/irj.2024.144.178","addedAt":"2026-08-31T06:39:57.337Z","updatedAt":"2026-08-31T06:39:57.337Z"},{"id":"doi:10.48550/arxiv.2406.08753","name":"UruBots UAV -- Air Emergency Service Indoor Team Description Paper for FIRA 2024","source":"datacite","abstract":"This document addresses the description of the corresponding \"Urubots\" Team for the 2024 Fira Air League, \"Air Emergency Service (Indoor).\" We introduce our team and an autonomous Unmanned Aerial Vehicle (UAV) that relies on computer vision for its flight control. This UAV has the capability to perform a wide variety of navigation tasks in indoor environments, without requiring the intervention of an external operator or any form of external processing, resulting in a significant decrease in workload and manual dependence. Additionally, our software has been designed to be compatible with the vehicle's structure and for its application to the competition circuit. In this paper, we detail additional aspects about the mechanical structure, software, and application to the FIRA competition.","url":"https://doi.org/10.48550/arxiv.2406.08753","authors":["Sodre, Hiago","Barcelona, Sebastian","Scirgalea, Anthony","Macedo, Brandon","Sampson, Gabriel","Moraes, Pablo","Moraes, William","Saravia, Victoria","Deniz, Juan","Guterres, Bruna","Kelbouscas, Andre","Grando, Ricardo"],"tags":["Robotics (cs.RO)","FOS: Computer and information sciences","FOS: Computer and information sciences"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.48550/arxiv.2406.08753","addedAt":"2026-08-31T06:39:57.337Z","updatedAt":"2026-08-31T06:39:57.337Z"},{"id":"doi:10.48550/arxiv.2406.00504","name":"Research on an Autonomous UAV Search and Rescue System Based on the Improved","source":"datacite","abstract":"The demand is to solve the issue of UAV (unmanned aerial vehicle) operating autonomously and implementing practical functions such as search and rescue in complex unknown environments. This paper proposes an autonomous search and rescue UAV system based on an EGO-Planner algorithm, which is improved by innovative UAV body application and takes the methods of inverse motor backstepping to enhance the overall flight efficiency of the UAV and miniaturization of the whole machine. At the same time, the system introduced the EGO-Planner planning tool, which is optimized by a bidirectional A* algorithm along with an object detection algorithm. It solves the issue of intelligent obstacle avoidance and search and rescue. Through the simulation and field verification work, and compared with traditional algorithms, this method shows more efficiency and reliability in the task. In addition, due to the existing algorithm's improved robustness, this application shows good prospection.","url":"https://doi.org/10.48550/arxiv.2406.00504","authors":["Chen, Haobin","Tao, Junyu","Zhou, Bize","Liu, Xiaoyan"],"tags":["Robotics (cs.RO)","Artificial Intelligence (cs.AI)","FOS: Computer and information sciences","FOS: Computer and information sciences"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.48550/arxiv.2406.00504","addedAt":"2026-08-31T06:39:57.337Z","updatedAt":"2026-08-31T06:39:57.337Z"},{"id":"doi:10.48550/arxiv.2405.18787","name":"Modeling and Control of a Novel Bi-Quadcopter with Auxiliary Thruster Mechanism","source":"datacite","abstract":"In this paper, a new under-actuated Bi-Quadcopter Unmanned Aerial Vehicle is introduced. The proposed drone configuration can be controlled similar to a Bicopter. The dynamics of the proposed Bi-Quadcopter is developed using the Newton-Euler approach. Using the force decomposition technique, a mapping between the control wrench and actuator inputs is developed. A nonlinear position control is applied for the Bi-Quadcopter using the quaternion-based cascaded attitude controller. The performance of the proposed UAV with the control algorithm is verified through simulations. Finally, the actuator failure scenarios were analyzed.","url":"https://doi.org/10.48550/arxiv.2405.18787","authors":["Vundela, Vijay Reddy","Muralidharan, Vijay"],"tags":["Systems and Control (eess.SY)","FOS: Electrical engineering, electronic engineering, information engineering","FOS: Electrical engineering, electronic engineering, information engineering"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.48550/arxiv.2405.18787","addedAt":"2026-08-31T06:39:57.337Z","updatedAt":"2026-08-31T06:39:57.337Z"},{"id":"doi:10.5281/zenodo.11187983","name":"GPT-4 Assisted Categorization and Visualization of NTSB UAV Accident Reports","source":"datacite","abstract":"Poster Presentation at the Discovery Day 2024 Conference Abstract The 731% increase in the professional Unmanned Aerial Vehicle (UAV) fleet size, from 2016 to 2023, highlights the growing reliance on UAVs for commercial operations. This surge in usage has been accompanied by escalating safety concerns, highlighted by the National Transportation Safety Board’s (NTSB) investigations into UAV-related incidents. Addressing the gap in systematic categorization and visualization of UAV accident reports, this study leverages GPT-4's natural language processing capabilities and a suite of Python-based scripts and data analysis libraries. By analyzing 34 NTSB UAV accident reports, the research enhances the understanding of accident causality through the alignment of incidents with predefined NTSB categories. The study's findings identify system and component failures as the predominant causes of UAV mishaps. These accidents are widespread across the U.S., exhibit seasonal peaks, and have shown a notable reduction in frequency post-2019. This research underscores the effectiveness of AI and data visualization in dissecting UAV accident data, offering insights into trends and geographical distributions. In conclusion, it advocates for the integration of advanced machine learning and natural language processing techniques to refine UAV safety policies and highlights the anticipated role of AI in forecasting and mitigating future UAV accidents.","url":"https://doi.org/10.5281/zenodo.11187983","authors":["Pik, Eugene"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.5281/zenodo.11187983","addedAt":"2026-08-31T06:39:57.337Z","updatedAt":"2026-08-31T06:39:57.337Z"},{"id":"doi:10.5281/zenodo.11187984","name":"GPT-4 Assisted Categorization and Visualization of NTSB UAV Accident Reports","source":"datacite","abstract":"Poster Presentation at the Discovery Day 2024 Conference Abstract The 731% increase in the professional Unmanned Aerial Vehicle (UAV) fleet size, from 2016 to 2023, highlights the growing reliance on UAVs for commercial operations. This surge in usage has been accompanied by escalating safety concerns, highlighted by the National Transportation Safety Board’s (NTSB) investigations into UAV-related incidents. Addressing the gap in systematic categorization and visualization of UAV accident reports, this study leverages GPT-4's natural language processing capabilities and a suite of Python-based scripts and data analysis libraries. By analyzing 34 NTSB UAV accident reports, the research enhances the understanding of accident causality through the alignment of incidents with predefined NTSB categories. The study's findings identify system and component failures as the predominant causes of UAV mishaps. These accidents are widespread across the U.S., exhibit seasonal peaks, and have shown a notable reduction in frequency post-2019. This research underscores the effectiveness of AI and data visualization in dissecting UAV accident data, offering insights into trends and geographical distributions. In conclusion, it advocates for the integration of advanced machine learning and natural language processing techniques to refine UAV safety policies and highlights the anticipated role of AI in forecasting and mitigating future UAV accidents.","url":"https://doi.org/10.5281/zenodo.11187984","authors":["Pik, Eugene"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.5281/zenodo.11187984","addedAt":"2026-08-31T06:39:57.337Z","updatedAt":"2026-08-31T06:39:57.337Z"},{"id":"doi:10.48550/arxiv.2405.01857","name":"TinySeg: Model Optimizing Framework for Image Segmentation on Tiny Embedded Systems","source":"datacite","abstract":"Image segmentation is one of the major computer vision tasks, which is applicable in a variety of domains, such as autonomous navigation of an unmanned aerial vehicle. However, image segmentation cannot easily materialize on tiny embedded systems because image segmentation models generally have high peak memory usage due to their architectural characteristics. This work finds that image segmentation models unnecessarily require large memory space with an existing tiny machine learning framework. That is, the existing framework cannot effectively manage the memory space for the image segmentation models. This work proposes TinySeg, a new model optimizing framework that enables memory-efficient image segmentation for tiny embedded systems. TinySeg analyzes the lifetimes of tensors in the target model and identifies long-living tensors. Then, TinySeg optimizes the memory usage of the target model mainly with two methods: (i) tensor spilling into local or remote storage and (ii) fused fetching of spilled tensors. This work implements TinySeg on top of the existing tiny machine learning framework and demonstrates that TinySeg can reduce the peak memory usage of an image segmentation model by 39.3% for tiny embedded systems.","url":"https://doi.org/10.48550/arxiv.2405.01857","authors":["Chae, Byungchul","Kim, Jiae","Heo, Seonyeong"],"tags":["Neural and Evolutionary Computing (cs.NE)","Computer Vision and Pattern Recognition (cs.CV)","FOS: Computer and information sciences","FOS: Computer and information sciences"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.48550/arxiv.2405.01857","addedAt":"2026-08-31T06:39:57.337Z","updatedAt":"2026-08-31T06:39:57.337Z"},{"id":"doi:10.48550/arxiv.2405.02681","name":"Spider RIS: Mobilizing Intelligent Surfaces for Enhanced Wireless Communications","source":"datacite","abstract":"In this study, we introduce Spider RIS technology, which offers an innovative solution to the challenges encountered in movable antennas (MAs) and unmanned aerial vehicle (UAV)-enabled communication systems. By combining the dynamic adaptation capability of MAs and the flexible location advantages of UAVs, this technology offers a dynamic and movable RIS, which can flexibly optimize physical locations within the two-dimensional movement platform. Spider RIS aims to enhance the communication efficiency and reliability of wireless networks, particularly in obstructive environments, by elevating the signal quality and achievable rate. The motivation of Spider RIS is based on the ability to fully exploit the spatial variability of wireless channels and maximize channel capacity even with a limited number of reflecting elements by overcoming the limitations of traditional fixed RIS and energy-intensive UAV systems. Considering the geometry-based millimeter wave channel model, we present the design of a three-stage angular-based hybrid beamforming system empowered by Spider RIS: First, analog beamformers are designed using angular information, followed by the generation of digital precoder/combiner based on the effective channel observed from baseband stage. Subsequently, the joint dynamic positioning with phase shift design of the Spider RIS is optimized using particle swarm optimization, maximizing the achievable rate of the systems.","url":"https://doi.org/10.48550/arxiv.2405.02681","authors":["Yildirim, Ibrahim","Mahmood, Mobeen","Basar, Ertugrul","Le-Ngoc, Tho"],"tags":["Information Theory (cs.IT)","Signal Processing (eess.SP)","FOS: Computer and information sciences","FOS: Electrical engineering, electronic engineering, information engineering"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.48550/arxiv.2405.02681","addedAt":"2026-08-31T06:39:57.337Z","updatedAt":"2026-08-31T06:40:09.764Z"},{"id":"doi:10.2514/6.2016-3710","name":"Robust Control of Wind Powered Autonomous Unmanned Aerial Vehicle","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2016-3710","authors":["Mohammad Sadraey"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2016-06-10T17:48:25Z","doi":"10.2514/6.2016-3710","addedAt":"2026-08-31T06:39:57.703Z","updatedAt":"2026-08-31T06:40:02.906Z"},{"id":"doi:10.32657/10356/41778","name":"Computational modeling of the aerodynamic characteristics and flight mechanics and control of an unmanned aerial vehicle","source":"crossref","abstract":"","url":"https://doi.org/10.32657/10356/41778","authors":["Leon Mark Choon Seng Tan"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2019-10-03T07:39:50Z","doi":"10.32657/10356/41778","addedAt":"2026-08-31T06:39:57.703Z","updatedAt":"2026-08-31T06:40:02.906Z"},{"id":"doi:10.1109/cybersec.2016.012","name":"Security Testing of an Unmanned Aerial Vehicle (UAV)","source":"crossref","abstract":"","url":"https://doi.org/10.1109/cybersec.2016.012","authors":["Seana Hagerman","Anneliese Andrews","Stephen Oakes"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2017-06-08T16:40:43Z","doi":"10.1109/cybersec.2016.012","addedAt":"2026-08-31T06:39:57.703Z","updatedAt":"2026-08-31T06:40:02.906Z"},{"id":"doi:10.1002/gj.4905/v1/decision1","name":"Decision letter for \"Semi‐automatic identification of discontinuity parameters in rock masses based on Unmanned Aerial Vehicle photography\"","source":"crossref","abstract":"","url":"https://doi.org/10.1002/gj.4905/v1/decision1","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-01-29T09:29:56Z","doi":"10.1002/gj.4905/v1/decision1","addedAt":"2026-08-31T06:39:57.703Z","updatedAt":"2026-08-31T06:40:02.906Z"},{"id":"doi:10.1007/978-1-4020-9137-7_2","name":"Development of an Unmanned Aerial Vehicle Piloting System with Integrated Motion Cueing for Training and Pilot Evaluation","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-1-4020-9137-7_2","authors":["James T. Hing","Paul Y. Oh"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2008-12-19T02:01:49Z","doi":"10.1007/978-1-4020-9137-7_2","addedAt":"2026-08-31T06:39:57.703Z","updatedAt":"2026-08-31T06:40:02.906Z"},{"id":"doi:10.1139/juvs-2015-0029","name":"Detection of continuous ground-based acoustic sources via unmanned aerial vehicles","source":"crossref","abstract":"","url":"https://doi.org/10.1139/juvs-2015-0029","authors":["Brendan Harvey","Siu O’Young"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2015-10-22T21:34:03Z","doi":"10.1139/juvs-2015-0029","addedAt":"2026-08-31T06:39:57.703Z","updatedAt":"2026-08-31T06:40:02.906Z"},{"id":"doi:10.1016/b978-0-12-804293-9.00009-6","name":"General aviation and unmanned aerial vehicle security","source":"crossref","abstract":"","url":"https://doi.org/10.1016/b978-0-12-804293-9.00009-6","authors":["Jeffrey C. Price","Jeffrey S. Forrest"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2016-07-22T16:19:05Z","doi":"10.1016/b978-0-12-804293-9.00009-6","addedAt":"2026-08-31T06:39:57.703Z","updatedAt":"2026-08-31T06:40:02.906Z"},{"id":"doi:10.1109/icc.2012.6364585","name":"Connectivity versus area coverage in unmanned aerial vehicle networks","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icc.2012.6364585","authors":["Evsen Yanmaz"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2012-12-04T00:17:44Z","doi":"10.1109/icc.2012.6364585","addedAt":"2026-08-31T06:39:57.703Z","updatedAt":"2026-08-31T06:40:02.906Z"},{"id":"doi:10.1109/icus55513.2022.9987222","name":"A Hierarchical Routing Protocol Based on AODV for Unmanned Aerial Vehicle Swarm Network","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icus55513.2022.9987222","authors":["Hanbing Xie","Gui Zou","Lin Ma"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2022-12-29T18:46:01Z","doi":"10.1109/icus55513.2022.9987222","addedAt":"2026-08-31T06:39:57.703Z","updatedAt":"2026-08-31T06:40:02.906Z"},{"id":"doi:10.1109/icus58632.2023.10318350","name":"Unmanned Aerial Vehicle Tactical Intention Recognition Method Based on Dynamic Series Bayesian Network","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icus58632.2023.10318350","authors":["Jianguo Li","Pengcheng Zhang","Renze Hao"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-11-21T19:19:56Z","doi":"10.1109/icus58632.2023.10318350","addedAt":"2026-08-31T06:39:57.703Z","updatedAt":"2026-08-31T06:40:02.906Z"},{"id":"doi:10.1007/978-3-031-19309-5_10","name":"Characterization of Urban Vegetation from an Unmanned Aerial Vehicle (UAV) Image","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-031-19309-5_10","authors":["Minakshi Kumar","Shefali Agrawal"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-03-15T06:02:35Z","doi":"10.1007/978-3-031-19309-5_10","addedAt":"2026-08-31T06:39:57.703Z","updatedAt":"2026-08-31T06:40:02.906Z"},{"id":"doi:10.19062/1842-9238.2017.15.3.12","name":"UNMANNED AERIAL VEHICLE FUTURE DEVELOPMENT TRENDS","source":"crossref","abstract":"","url":"https://doi.org/10.19062/1842-9238.2017.15.3.12","authors":["Gabriel RĂDUCANU","Ionică CÎRCIU"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2017-12-17T10:35:13Z","doi":"10.19062/1842-9238.2017.15.3.12","addedAt":"2026-08-31T06:39:57.703Z","updatedAt":"2026-08-31T06:40:02.906Z"},{"id":"doi:10.1109/chicc.2008.4605798","name":"On model identification of engine for unmanned aerial vehicle","source":"crossref","abstract":"","url":"https://doi.org/10.1109/chicc.2008.4605798","authors":["Pan Song","Wei Minxiang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2008-08-28T15:32:51Z","doi":"10.1109/chicc.2008.4605798","addedAt":"2026-08-31T06:39:57.703Z","updatedAt":"2026-08-31T06:40:02.906Z"},{"id":"doi:10.1109/icii.2019.00014","name":"Multi-layered Threat Analysis for Unmanned Aerial Vehicle","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icii.2019.00014","authors":["Tingting Wang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2020-05-19T21:12:35Z","doi":"10.1109/icii.2019.00014","addedAt":"2026-08-31T06:39:57.703Z","updatedAt":"2026-08-31T06:40:02.906Z"},{"id":"doi:10.24895/sng.2017.2-0.448","name":"APLIKASI UAV (UNMANNED AERIAL VEHICLE) UNTUK MENDUKUNG PEMANTAUAN TATA RUANG","source":"crossref","abstract":"&lt;p&gt;Pada beberapa tahun terakhir, pemanfaatan foto udara dari rekaman sensor yang dibawa oleh &lt;em&gt;Unmanned Aerial Vehicle&lt;/em&gt; (UAV) berkembang sangat pesat. Hasil foto udara melalui UAV banyak dimanfaatan untuk pemetaan yang membutuhkan tingkat detail yang tinggi karena memiliki tingkat &lt;em&gt;Ground Sample Distance&lt;/em&gt; hingga satuan sentimeter. Pekerjaan pemetaan skala besar biasa dilakukan menggunakan sumber data dari metode ekstraterestris yaitu citra satelit resolusi tinggi. Semula, metode fotogrameris dihindari karena memerlukan biaya yang relatif mahal, waktu yang relatif lama, serta SDM yang banyak dalam pengoperasiannya. Namun, saat ini UAV dengan berbagai kelebihannya dapat diperhitungkan sebagai sumber data pemetaan tata ruang. Penelitian ini bertujuan untuk mengkaji kapasitas UAV sebagai sumber alternatif dalam pemetaan tata ruang, terutama dalam kegiatan pemantauan pemanfaatan ruang. Studi literatur dengan teknik mengumpulkan (&lt;em&gt;summarize&lt;/em&gt;) dan meringkas (&lt;em&gt;synthesize&lt;/em&gt;) terhadap berbagai penelitian, laporan teknis, dan sumber &lt;em&gt;online &lt;/em&gt;dilakukan untuk menggali informasi terkait aplikasi UAV, khususnya di bidang tata ruang. Kemudian dihasilkan kesesuaian UAV untuk pemetaan tata ruang beserta analisisnya. Secara keseluruhan, akurasi yang didapat dari hasil UAV telah memenuhi standar foto udara yang diperlukan untuk &lt;em&gt;monitoring&lt;/em&gt; tata ruang, baik akurasi horizontal maupun vertikal, serta ketelitian DEM.&lt;/p&gt;&lt;strong&gt;Kata kunci&lt;/strong&gt;: &lt;em&gt;UAV, pemetaan skala besar, pemantauan tata ruang.&lt;/em&gt;","url":"https://doi.org/10.24895/sng.2017.2-0.448","authors":["Azmiyatul 'Arifati"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2018-02-12T10:04:28Z","doi":"10.24895/sng.2017.2-0.448","addedAt":"2026-08-31T06:39:57.703Z","updatedAt":"2026-08-31T06:40:02.906Z"},{"id":"doi:10.14711/thesis-991012535962203412","name":"The design, prototyping, modeling and flight tests of a vertical take-off and landing (VTOL) unmanned aerial vehicle (UAV)","source":"crossref","abstract":"","url":"https://doi.org/10.14711/thesis-991012535962203412","authors":["Ya Wang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2017-10-02T02:14:10Z","doi":"10.14711/thesis-991012535962203412","addedAt":"2026-08-31T06:39:57.703Z","updatedAt":"2026-08-31T06:40:02.906Z"},{"id":"doi:10.21495/91-8-605","name":"Range of safe zone from obstacles for unmanned aerial vehicle","source":"crossref","abstract":"","url":"https://doi.org/10.21495/91-8-605","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2018-07-11T09:26:00Z","doi":"10.21495/91-8-605","addedAt":"2026-08-31T06:39:57.703Z","updatedAt":"2026-08-31T06:40:02.906Z"},{"id":"doi:10.4028/www.scientific.net/amm.392.257","name":"The Research of Geometric Rectification of Aerial Image for Miniature Unmanned Aerial Vehicle","source":"crossref","abstract":"The unmanned aerial vehicle (UAV) aerial technology increasingly been widely used and attention, this paper first describes the cause of geometric distortion of aerial image, and then using Denavit-Hartenberg (D-H) theory on the flight attitude change of the UAV has led to the phenomenon of image distortion analysis, and the establishment of corresponding image geometric correction model. The terrain is relatively flat areas near a school in Guilin as an aerial target area, geometric correction processing the acquired aerial imagery, experimental results show the effectiveness of the method.","url":"https://doi.org/10.4028/www.scientific.net/amm.392.257","authors":["Xiao Gang Liu","Jin Li Li"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2013-09-03T14:26:10Z","doi":"10.4028/www.scientific.net/amm.392.257","addedAt":"2026-08-31T06:39:57.703Z","updatedAt":"2026-08-31T06:40:02.906Z"},{"id":"doi:10.38007/proceedings.0000897","name":"Design and Implementation of Hybrid Wing Unmanned Aerial Vehicle (UAV)","source":"crossref","abstract":"","url":"https://doi.org/10.38007/proceedings.0000897","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2020-07-28T21:34:23Z","doi":"10.38007/proceedings.0000897","addedAt":"2026-08-31T06:39:57.703Z","updatedAt":"2026-08-31T06:40:02.906Z"},{"id":"doi:10.2514/6.2021-1062","name":"Design Metrics for Assessing Unmanned Aerial Vehicle Mission Suitability","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2021-1062","authors":["Robert C. Scott"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2021-01-05T02:59:38Z","doi":"10.2514/6.2021-1062","addedAt":"2026-08-31T06:39:57.703Z","updatedAt":"2026-08-31T06:40:02.906Z"},{"id":"doi:10.1007/979-8-8688-1047-3_3","name":"Real-World Deployments in Unmanned Aerial Vehicle Swarms","source":"crossref","abstract":"","url":"https://doi.org/10.1007/979-8-8688-1047-3_3","authors":["Muhammad Danyal Javed","Sher Taj","Yonghao Liu","Rahim Khan","Hina Hassan","M. A. Al-Khasawneh","Inam Ullah"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-02-28T01:30:23Z","doi":"10.1007/979-8-8688-1047-3_3","addedAt":"2026-08-31T06:39:57.703Z","updatedAt":"2026-08-31T06:40:02.906Z"},{"id":"doi:10.4028/www.scientific.net/amr.677.442","name":"Automatic Landing Controller of Unmanned Aerial Vehicle","source":"crossref","abstract":"This paper presents the soft control strategies for automatic landing of Unmanned Aerial Vehicle and simulation the result of controller. The soft controller parameters can be modify and show off the results response of control surface of Unmanned Aerial Vehicle which can fly to the desirable waypoints along the flight plan, one may freely select a control scheme to stabilize and perform the target tracking with robustness. The main control system of Unmanned Aerial Vehicle is developed from Fuzzy PD+I controller with auto-tuning gain parameters and the simulation is carried out by Matlab/Simulink simulation program including with Aerosim toolbox software. The model of Unmanned Aerial Vehicle for simulation in this paper is selected the model of Aerosonde UAV from Aerosonde PTY LTD., which is developed mathematical model by Unmanned Dynamics.","url":"https://doi.org/10.4028/www.scientific.net/amr.677.442","authors":["Chart Rithirun","Pitikhate Sooraksa"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2013-03-26T12:20:45Z","doi":"10.4028/www.scientific.net/amr.677.442","addedAt":"2026-08-31T06:39:57.703Z","updatedAt":"2026-08-31T06:40:02.906Z"},{"id":"doi:10.1139/juvs-2016-0011","name":"Spectrum monitoring with unmanned aerial vehicle carrying a receiver based on the core technology of cognitive radio – A software-defined radio design","source":"crossref","abstract":"In this paper, we design and make a prototype of an aerial spectrum monitoring system that consists of a ground control station and a four-rotor unmanned aerial vehicle (UAV). This UAV carries a software-defined radio (SDR) receiver to perform spectrum monitoring tasks, including signal strength, frequency occupancy, and signal analysis. A light and low-cost SDR-based dongle consisting of RTL2832U chip and R820T tuner is employed as the monitoring receiver. A global positioning system and an electronic compass system are built on board to report the UAV’s position and direction. The open-source development platform GNU Radio is employed to design the radio monitoring system through the use of software-defined blocks. The proposed aerial monitoring system can detect radio signals in the frequency range of 25–1700 MHz that in practice covers the FM and DVB bands. With the prototype monitoring system, we have performed a few measurement tasks, including signal strength, waterfall display, and demodulation for identifying FM stations. Our proposed aerial monitoring system is more cost-effective than land-vehicle monitoring stations because of its much more flexible implementation.","url":"https://doi.org/10.1139/juvs-2016-0011","authors":["Wen-Tzu Chen","Chen-Hsun Ho"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2016-11-01T17:33:59Z","doi":"10.1139/juvs-2016-0011","addedAt":"2026-08-31T06:39:57.703Z","updatedAt":"2026-08-31T06:40:02.906Z"},{"id":"doi:10.12913/22998624/210510","name":"Unmanned ground vehicle for swampy area reconnaissance with unmanned aerial vehicle support: A conceptual framework","source":"crossref","abstract":"","url":"https://doi.org/10.12913/22998624/210510","authors":["Marek Nowakowski","Andrzej Łukaszewicz"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-11-22T08:28:26Z","doi":"10.12913/22998624/210510","addedAt":"2026-08-31T06:39:57.703Z","updatedAt":"2026-08-31T06:40:00.188Z"},{"id":"doi:10.1139/juvs-2014-0018","name":"Design and testing of foam-inflated wings for small unmanned aerial vehicles","source":"crossref","abstract":"Inflatable wings can greatly improve the portability of small UAVs. The foam-inflated wing concept consists of a hybrid structure of rigid and flexible elements. This approach potentially reduces the packaging and logistical needs before deployment of a small UAV. The small packaging volume of the wing is achieved using spars and wing skin that are made out of flexible polyester-film material. For deployment, the cylindrical spars are rigidized using expanding foam that increases the buckling stiffness of the spars. Solid ribs that were previously attached to those spars provide high shape compliance for the external skin. Due to the solid rib structure, the chord length of the wing defines the maximum packing dimension before inflation. As demonstrated in tests, the inflation process of the hybrid wing is uncomplicated and swift. The subsequent foam-inflated structure is lightweight and can be tailored to the expected loads. In addition, the underlying ribs ensure a high aerodynamic quality, despite the inflatable nature of the hybrid wing structure. The feasibility of the concept of the hybrid wing structure has been demonstrated in flight tests.","url":"https://doi.org/10.1139/juvs-2014-0018","authors":["Götz Bramesfeld","Ryan Prinster"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2015-08-21T21:34:03Z","doi":"10.1139/juvs-2014-0018","addedAt":"2026-08-31T06:39:57.703Z","updatedAt":"2026-08-31T06:40:02.906Z"},{"id":"doi:10.1007/978-3-031-08395-2_5","name":"Artificial Intelligence Empowered Models for UAV Communications","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-031-08395-2_5","authors":["Nilanjana Pradhan","Roohi Sille","Shrddha Sagar"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2022-10-11T09:07:30Z","doi":"10.1007/978-3-031-08395-2_5","addedAt":"2026-08-31T06:39:57.703Z","updatedAt":"2026-08-31T06:40:02.906Z"},{"id":"doi:10.1109/icus52573.2021.9641062","name":"Flight Strategy Design for Unmanned Aerial Vehicle Flying in Multi-threats Environment","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icus52573.2021.9641062","authors":["Kai Zhou","Haifeng Guo","Qirui Zhang","Guowen Zhang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2021-12-22T15:35:41Z","doi":"10.1109/icus52573.2021.9641062","addedAt":"2026-08-31T06:39:57.703Z","updatedAt":"2026-08-31T06:40:02.906Z"},{"id":"doi:10.3390/electronics14153021","name":"Fixed-Time Bearing-Only Formation Control Without a Global Coordinate Frame","source":"crossref","abstract":"This work addresses distributed fixed-time bearing-only formation stabilization for multi-agent systems lacking shared orientation knowledge. Addressing the challenge of missing global coordinate alignment in multi-agent systems, this work introduces a novel distributed estimator ensuring almost globally fixed-time convergence of orientation estimates. Leveraging this estimator, we develop a distributed bearing-only formation control law specifically designed for agents governed by double-integrator dynamics, guaranteeing fixed-time convergence. Comprehensive stability analysis proves the almost global fixed-time stability of the overall closed-loop system. Crucially, the proposed control strategy drives actual formation to achieve the desired geometric pattern with almost global exponential convergence within a fixed time bound. Rigorous numerical experiments corroborate the theoretical framework.","url":"https://doi.org/10.3390/electronics14153021","authors":["Hanqiao Huang","Mengwen Lu","Bo Zhang","Qian Wang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-07-29T16:16:10Z","doi":"10.3390/electronics14153021","addedAt":"2026-08-31T06:39:57.703Z","updatedAt":"2026-08-31T06:40:02.906Z"},{"id":"doi:10.1109/icuas.2019.8797939","name":"Game Theoretic Strategies for an Unmanned Aerial Vehicle Network Host Under DDoS Attack","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icuas.2019.8797939","authors":["Aakif Mairaj","Subhrajit Majumder","Ahmad Y. Javaid"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2019-08-15T19:15:01Z","doi":"10.1109/icuas.2019.8797939","addedAt":"2026-08-31T06:39:57.703Z","updatedAt":"2026-08-31T06:40:02.906Z"},{"id":"doi:10.2514/6.2004-6604","name":"Conceptual Design of a Long-Endurance, Tilt-Boom Unmanned Aerial Vehicle","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2004-6604","authors":["Gilbert Crouse","Tom Sash"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2012-12-18T23:47:35Z","doi":"10.2514/6.2004-6604","addedAt":"2026-08-31T06:39:57.703Z","updatedAt":"2026-08-31T06:40:02.906Z"},{"id":"doi:10.1139/juvs-2020-0028","name":"Aerial ropeway system — feasibility study in Doha, Qatar","source":"crossref","abstract":"Aerial ropeway systems, also called gondolas and aerial cable cars, are amongst driverless transportation modes, which are progressively drawing attention in promoting tourism. Aerial ropeway systems have been operated in touristic spots (e.g., over lakes, rivers, and hilly lands) in several countries. Passengers can enjoy a view from above and experience a stress-free and reliable trip. Furthermore, those systems can be exploited as public transportation in urbanized and populated regions. The objective of this article is to investigate the viability of implementing a gondola line over Doha Bay in Qatar as a tourist attraction from marketing, economic, and environmental points of view. In this study, the associated costs (capital, maintenance, and operating) of implementing a monocable detachable gondola technology (MDG) are estimated using international best practices. The economic analysis outcome demonstrates that the revenues generated from fares could offset the required capital investment as well as operating and maintenance costs and hence the proposed gondola could be economically attractive for investors. Moreover, no significant negative impacts and footprint on the environment are anticipated at the exploitation phase of the gondola.","url":"https://doi.org/10.1139/juvs-2020-0028","authors":["Shahram Tahmasseby"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2021-01-29T21:38:50Z","doi":"10.1139/juvs-2020-0028","addedAt":"2026-08-31T06:39:57.703Z","updatedAt":"2026-08-31T06:40:02.906Z"},{"id":"doi:10.26650/jtl.2025.1609155","name":"Two-Echelon Location Selection and Unmanned Aerial Vehicle Assisted Vehicle Routing Problem","source":"crossref","abstract":"","url":"https://doi.org/10.26650/jtl.2025.1609155","authors":["Tolga Gedikli","İsmail Karaoğlan"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-03-06T08:22:47Z","doi":"10.26650/jtl.2025.1609155","addedAt":"2026-08-31T06:39:57.703Z","updatedAt":"2026-08-31T06:40:02.906Z"},{"id":"doi:10.21236/ada446221","name":"Simulating Multiple Micro-Aerial Vehicles and a Small Unmanned Aerial Vehicle in Urban Terrain Using MultiUAV2","source":"crossref","abstract":"","url":"https://doi.org/10.21236/ada446221","authors":["S. J. Rasmussen","M. W. Orr","D. Carlos","A. F. Deglopper","B. R. Griffith"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2017-07-28T14:21:47Z","doi":"10.21236/ada446221","addedAt":"2026-08-31T06:39:57.703Z","updatedAt":"2026-08-31T06:40:02.906Z"},{"id":"doi:10.1109/uvs.2019.8658277","name":"Development of Magnetostrictive Harvester for Unmanned Aerial Vehicles (UAV)","source":"crossref","abstract":"","url":"https://doi.org/10.1109/uvs.2019.8658277","authors":["Mojtaba Ghodsi","Hamidreza Ziaiefar","Morteza Mohammadzaheri","Amur Al-Yahmedi"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2019-03-08T00:01:15Z","doi":"10.1109/uvs.2019.8658277","addedAt":"2026-08-31T06:39:57.703Z","updatedAt":"2026-08-31T06:40:02.906Z"},{"id":"doi:10.1002/gj.4677/v1/review1","name":"Review for \"Slope deformation detection using subpixel offset tracking and an unsupervised learning technique based on unmanned aerial vehicle photogrammetry data\"","source":"crossref","abstract":"","url":"https://doi.org/10.1002/gj.4677/v1/review1","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-01-30T16:02:35Z","doi":"10.1002/gj.4677/v1/review1","addedAt":"2026-08-31T06:39:57.703Z","updatedAt":"2026-08-31T06:39:58.777Z"},{"id":"doi:10.18372/1990-5548.36.5844","name":"Measurement system of low-altitude flight unmanned aerial vehicle","source":"crossref","abstract":"","url":"https://doi.org/10.18372/1990-5548.36.5844","authors":["A. P. Kozlov"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2017-03-21T08:27:15Z","doi":"10.18372/1990-5548.36.5844","addedAt":"2026-08-31T06:39:57.704Z","updatedAt":"2026-08-31T06:40:02.906Z"},{"id":"doi:10.15368/theses.2010.145","name":"DEVELOPMENT OF A SMALL AND INEXPENSIVE TERRAIN AVOIDANCE SYSTEM FOR AN UNMANNED AERIAL VEHICLE VIA POTENTIAL FUNCTION GUIDANCE ALGORITHM","source":"crossref","abstract":"","url":"https://doi.org/10.15368/theses.2010.145","authors":["Shane Alan Wallace"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2016-03-01T21:06:28Z","doi":"10.15368/theses.2010.145","addedAt":"2026-08-31T06:39:57.704Z","updatedAt":"2026-08-31T06:40:00.188Z"},{"id":"doi:10.1109/tiv.2022.3163315/mm1","name":"supp1-3163315.mp4","source":"crossref","abstract":"","url":"https://doi.org/10.1109/tiv.2022.3163315/mm1","authors":["Hang Zhong"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2022-03-30T15:54:42Z","doi":"10.1109/tiv.2022.3163315/mm1","addedAt":"2026-08-31T06:39:57.704Z","updatedAt":"2026-08-31T06:40:00.188Z"},{"id":"doi:10.18282/rs.v9i2.1372","name":"Application of Unmanned Aerial Vehicle Remote Sensing in Engineering Measurement","source":"crossref","abstract":"&lt;p&gt;Unmanned aerial vehicle remote sensing is widely used in the whole engineering measurement in recent years. It has many advantages including simple operation, high accuracy and high efficiency. It is precisely because of these advantages that unmanned aerial vehicle remote sensing has gradually replaced the traditional surveying and mapping technology to be widely used. With the continuous expansion of the number and scale of projects in China, the effect of unmanned aerial vehicle remote sensing in engineering measurement is getting bigger and bigger. This article mainly analyzes the advantages of unmanned aerial vehicle remote sensing and its application in engineering measurement, so as to provide some reference for the development of surveying and mapping engineering in China.&lt;/p&gt;","url":"https://doi.org/10.18282/rs.v9i2.1372","authors":["Qing Li"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2020-10-23T06:20:24Z","doi":"10.18282/rs.v9i2.1372","addedAt":"2026-08-31T06:39:57.704Z","updatedAt":"2026-08-31T06:40:00.188Z"},{"id":"doi:10.31219/osf.io/x84f9","name":"Integrating Machine Learning Techniques for Spatial Data Mining in Unmanned Aerial Vehicle (UAV) Applications","source":"crossref","abstract":"Integrating Machine Learning Techniques for Spatial DataMining in Unmanned Aerial Vehicle (UAV) Applications","url":"https://doi.org/10.31219/osf.io/x84f9","authors":["Osama Butt","Shahzab Hussain"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-09-02T05:00:57Z","doi":"10.31219/osf.io/x84f9","addedAt":"2026-08-31T06:39:57.704Z","updatedAt":"2026-08-31T06:40:00.188Z"},{"id":"doi:10.1063/1.4972593","name":"Computational analysis of unmanned aerial vehicle (UAV)","source":"crossref","abstract":"","url":"https://doi.org/10.1063/1.4972593","authors":["Sakhr Abudarag","Rashid Yagoub","Hassan Elfatih","Zoran Filipovic"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2017-01-28T01:30:40Z","doi":"10.1063/1.4972593","addedAt":"2026-08-31T06:39:57.704Z","updatedAt":"2026-08-31T06:40:00.188Z"},{"id":"doi:10.1117/1.jrs.17.046505","name":"Lightweight multi-target detection algorithm for unmanned aerial vehicle aerial imagery","source":"crossref","abstract":"","url":"https://doi.org/10.1117/1.jrs.17.046505","authors":["Yang Liu","Ding Ma","Yongfu Wang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-11-10T10:07:57Z","doi":"10.1117/1.jrs.17.046505","addedAt":"2026-08-31T06:39:57.704Z","updatedAt":"2026-08-31T06:40:00.188Z"},{"id":"doi:10.1002/essoar.10509592.1","name":"Deep Learning based Improved Automatic Building Extraction from Open-Source High Resolution Unmanned Aerial Vehicle (UAV) Imagery","source":"crossref","abstract":"Automatically extracting buildings from remotely sensed imagery has always been a challenging task, given the spectral homogeneity of buildings with the non-building features as well as the complex structural diversity within the image. Traditional machine learning (ML) based methods deeply rely on a huge number of samples and are best suited for medium resolution images. Unmanned aerial vehicle (UAV) imagery offers the distinct advantage of very high spatial resolution, which is helpful in improving building extraction by characterizing patterns and structures. However, with increased finer details, the number of images also increase many fold in a UAV dataset, which require robust processing algorithms. Deep learning algorithms, specifically Fully Convolutional Networks (FCNs) have greatly improved the results of building extraction from such high resolution remotely sensed imagery, as compared to traditional methods. This study proposes a deep learning based segmentation approach to extract buildings by transferring the learning of a deep Residual Network (ResNet) to the segmentation based FCN U-Net. This combined dense architecture of ResNet and U-Net (Res-U-Net) is trained and tested for building extraction on the open source Inria Aerial Image Labelling (IAIL) dataset. This dataset contains 360 orthorectified images with a tile size of 1500m2 each, at 30cm spatial resolution with red, green and blue bands; while covering total area of 805km2 in select US and Austrian cities. Quantitative assessments show that the proposed methodology outperforms the current deep learning based building extraction methods. When compared with a singular U-Net model for building extraction for the IAIL dataset, the proposed Res-U-Net model improves the overall accuracy from 92.85% to 96.5%, the mean F1-score from 0.83 to 0.88 and the mean IoU metric from 0.71 to 0.80. Results show that such a combination of two deep learning architectures greatly improves the building extraction accuracy as compared to a singular architecture.","url":"https://doi.org/10.1002/essoar.10509592.1","authors":["Chintan Maniyar","Minakshi Kumar"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2021-12-16T10:04:05Z","doi":"10.1002/essoar.10509592.1","addedAt":"2026-08-31T06:39:57.704Z","updatedAt":"2026-08-31T06:40:00.188Z"},{"id":"doi:10.1139/juvs-2017-0008","name":"Development of a low-cost multispectral camera for aerial crop monitoring","source":"crossref","abstract":"","url":"https://doi.org/10.1139/juvs-2017-0008","authors":["Clayton Barrows","Duke Bulanon"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2017-08-28T21:33:42Z","doi":"10.1139/juvs-2017-0008","addedAt":"2026-08-31T06:39:57.704Z","updatedAt":"2026-08-31T06:40:00.188Z"},{"id":"doi:10.24294/jgc.v5i1.1413","name":"Dynamic reconstruction method of unmanned aerial vehicle aerial remote sensing image based on compressed sensing","source":"crossref","abstract":"Aiming at the current problems of poor dynamic reconstruction of UAV aerial remote sensing images and low image clarity, the dynamic reconstruction method of UAV aerial remote sensing images based on compression perception is proposed. Construct a quality reduction model for UAV aerial remote sensing images, obtain image feature information, and further noise reduction preprocessing of UAV aerial remote sensing images to better improve the resolution, spectral and multi-temporal trends of UAV aerial remote sensing images, and effectively solve the problems of resource waste such as large amount of sampled data, long sampling time and large amount of data transmission and storage. Maximize the UAV aerial remote sensing images sampling rate, reduce the complexity of dynamic reconstruction of UAV aerial remote sensing images, and effectively obtain the research requirements of high-quality image reconstruction. The experimental results show that the proposed dynamic reconstruction method of UAV aerial remote sensing images based on compressed sensing is correct and effective, which is better than the current mainstream methods.","url":"https://doi.org/10.24294/jgc.v5i1.1413","authors":["Guangdi Ma","Weichen Yang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2022-01-28T02:13:32Z","doi":"10.24294/jgc.v5i1.1413","addedAt":"2026-08-31T06:39:57.704Z","updatedAt":"2026-08-31T06:40:00.188Z"},{"id":"doi:10.5220/0010554900002994","name":"Fractional Order Tracking Control of Unmanned Aerial Vehicle in Presence of Model Uncertainties and Disturbances","source":"crossref","abstract":"","url":"https://doi.org/10.5220/0010554900002994","authors":["Heera Maurya","Padmini Singh","Subhash Yogi","Laxmidhar Behera","Nishchal Verma"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2022-01-11T13:21:26Z","doi":"10.5220/0010554900002994","addedAt":"2026-08-31T06:39:57.704Z","updatedAt":"2026-08-31T06:40:00.188Z"},{"id":"doi:10.1109/etaav66793.2025.11213193","name":"Unmanned Aerial Vehicle (UAV) Applications in Precision Agriculture: Literature Review","source":"crossref","abstract":"","url":"https://doi.org/10.1109/etaav66793.2025.11213193","authors":["Anusha Jadyada","Cijo P Joseph","SabariGirish V"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-10-29T17:31:08Z","doi":"10.1109/etaav66793.2025.11213193","addedAt":"2026-08-31T06:39:57.704Z","updatedAt":"2026-08-31T06:39:59.254Z"},{"id":"doi:10.14264/ab80cf8","name":"Capture, processing and analysis of vehicle trajectories from multiple unmanned-aerial-vehicles with computer-vision and artificial-intelligence","source":"crossref","abstract":"","url":"https://doi.org/10.14264/ab80cf8","authors":["Samuel Richard Hislop-Lynch"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-10-18T23:22:48Z","doi":"10.14264/ab80cf8","addedAt":"2026-08-31T06:39:57.704Z","updatedAt":"2026-08-31T06:40:00.188Z"},{"id":"doi:10.19062/1842-9238.2018.16.3.6","name":"OPTIMAL PID CONTROLLER BASED AUTOPILOT DESIGN AND SYSTEM MODELLING FOR SMALL UNMANNED AERIAL VEHICLE","source":"crossref","abstract":"","url":"https://doi.org/10.19062/1842-9238.2018.16.3.6","authors":["Róbert SZABOLCSI"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2019-02-18T10:21:20Z","doi":"10.19062/1842-9238.2018.16.3.6","addedAt":"2026-08-31T06:39:57.704Z","updatedAt":"2026-08-31T06:39:58.777Z"},{"id":"doi:10.1201/9781315210445-122","name":"Application of an unmanned aerial vehicle in fire rescue","source":"crossref","abstract":"","url":"https://doi.org/10.1201/9781315210445-122","authors":["Bin Hu","Jinpeng Xing"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2017-06-02T13:21:21Z","doi":"10.1201/9781315210445-122","addedAt":"2026-08-31T06:39:57.704Z","updatedAt":"2026-08-31T06:40:00.188Z"},{"id":"doi:10.1109/radar53847.2021.10027968","name":"Cluster Unmanned Aerial Vehicle Electromagnetic Calculations and Applications","source":"crossref","abstract":"","url":"https://doi.org/10.1109/radar53847.2021.10027968","authors":["Zeying Gong","Bin Rao"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-02-08T18:54:16Z","doi":"10.1109/radar53847.2021.10027968","addedAt":"2026-08-31T06:39:57.704Z","updatedAt":"2026-08-31T06:40:00.188Z"},{"id":"doi:10.1037/e578112012-013","name":"Considerations for Use of Aerial Views In Remote Unmanned Ground Vehicle Operations","source":"crossref","abstract":"","url":"https://doi.org/10.1037/e578112012-013","authors":["Roger A. Chadwick"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2013-02-20T12:47:23Z","doi":"10.1037/e578112012-013","addedAt":"2026-08-31T06:39:57.704Z","updatedAt":"2026-08-31T06:40:00.188Z"},{"id":"doi:10.1515/9783111619323-022","name":"511Mathematical Methods in the Digital Age","source":"crossref","abstract":"","url":"https://doi.org/10.1515/9783111619323-022","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-08-04T11:29:17Z","doi":"10.1515/9783111619323-022","addedAt":"2026-08-31T06:39:57.704Z","updatedAt":"2026-08-31T06:40:00.188Z"},{"id":"doi:10.7287/peerj-cs.1119v0.1/reviews/2","name":"Peer Review #2 of \"Heterogeneous mission planning for a single unmanned aerial vehicle (UAV) with attention-based deep reinforcement learning (v0.1)\"","source":"crossref","abstract":"","url":"https://doi.org/10.7287/peerj-cs.1119v0.1/reviews/2","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2022-10-22T02:30:55Z","doi":"10.7287/peerj-cs.1119v0.1/reviews/2","addedAt":"2026-08-31T06:39:57.704Z","updatedAt":"2026-08-31T06:39:58.777Z"},{"id":"doi:10.3897/arb.v32.e09","name":"Long endurance electric multirotor Unmanned Aerial Vehicle","source":"crossref","abstract":"The article presents an algorithm for development of a Long endurance electric multirotor unmanned aerial vehicle. Calculations for usage of different types of electric batteries have been made and dependencies of flight time for different weights of batteries have been obtained. Options for quadcopter and sixcopter have been considered.","url":"https://doi.org/10.3897/arb.v32.e09","authors":["Dimo Zafirov"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2020-12-08T17:58:26Z","doi":"10.3897/arb.v32.e09","addedAt":"2026-08-31T06:39:57.704Z","updatedAt":"2026-08-31T06:40:00.188Z"},{"id":"doi:10.1109/cca.2014.6981467","name":"Modeling of an unmanned hybrid aerial vehicle","source":"crossref","abstract":"","url":"https://doi.org/10.1109/cca.2014.6981467","authors":["Guillaume Ducard","Minh-Duc Hua"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2014-12-30T21:48:36Z","doi":"10.1109/cca.2014.6981467","addedAt":"2026-08-31T06:39:57.704Z","updatedAt":"2026-08-31T06:40:00.188Z"},{"id":"doi:10.1201/b15552-12","name":"Cyber-Physical System Modeling on Cognitive Unmanned Aerial Vehicle Communications","source":"crossref","abstract":"","url":"https://doi.org/10.1201/b15552-12","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2013-09-03T20:19:30Z","doi":"10.1201/b15552-12","addedAt":"2026-08-31T06:39:57.704Z","updatedAt":"2026-08-31T06:40:00.188Z"},{"id":"doi:10.30518/jav.1083114","name":"Important Issues In Unmanned Aerial Vehicle User Education And Training","source":"crossref","abstract":"Unmanned aerial vehicles (UAVs) are aircraft that can be controlled remotely or autonomously without a pilot on the platform deck, with the help of Auto-Pilot and software-controlled flight plans. Unmanned aerial vehicles (UAVs) are a component of the Unmanned Aerial System (UAS). For this reason, those who program the mission pattern of these vehicles in advance, use them by remote command with or without sight, how to act in the face of possible developments during the mission, and who know the UAV technology and working principles well in this context, if the connection with the unmanned aerial vehicle (UAV) is lost, The training of the pilots, who enter the necessary information into the system as a command, in order to complete their mission and return safely to the starting point or to a different place, is very important. A professional and qualified UAV pilot/operator should possess five key characteristics, including professional dedication, sense of duty, self-control, enthusiasm for work, logicalness, and rationality. While preparing personality tests for pilot candidates, it should be based on measuring five main personality areas (neuroticism, extraversion, openness, agreeableness and conscientiousness). In the last 20 years in Turkey, the number and kinds of UAVs used especially in the field of security has been constantly increasing, and the number of national and domestic projects is increasing at a level that can compete with their counterparts in the world. Armed unmanned aerial vehicles (Armed UAV) are used extensively in domestic and international security operations, especially in internal security operations, contributing significantly to the success of the operation and reducing casualties and risks. For that reason, this research is focused on UAV pilots education and training as key personnel of UAV and try to bring front important issues of training period.","url":"https://doi.org/10.30518/jav.1083114","authors":["Haydar ATEŞ"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2022-03-16T13:16:34Z","doi":"10.30518/jav.1083114","addedAt":"2026-08-31T06:39:57.704Z","updatedAt":"2026-08-31T06:40:00.188Z"},{"id":"doi:10.1109/milcom.1996.568581","name":"Unmanned aerial vehicle (UAV) communications relay","source":"crossref","abstract":"","url":"https://doi.org/10.1109/milcom.1996.568581","authors":["M.F.J. Pinkney","D. Hampel","S. DiPierro"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2002-12-23T22:15:25Z","doi":"10.1109/milcom.1996.568581","addedAt":"2026-08-31T06:39:57.704Z","updatedAt":"2026-08-31T06:40:00.188Z"},{"id":"doi:10.36652/0869-4931-2023-77-7-315-318","name":"Navigation complex of impact unmanned aerial vehicle","source":"crossref","abstract":"The navigation complex of a promising impact unmanned vehicle is studied. With respect to the features of navigation systems are determined the composition of the navigation complex. An adaptive estimation algorithm is chosen to correct the inertial navigation system. The structure of the navigation complex, which provides the best choice of the working contour and is distinguished by ease of implementation on board an unmanned aerial vehicle is developed. The choice of a navigation information sensor external to the inertial system based on the analysis of covariance matrices of estimation errors is carried out. Keywords impact unmanned aerial vehicle, navigation system, estimation algorithm, inertial navigation system, Kalman filter, estimation error covariance matrix","url":"https://doi.org/10.36652/0869-4931-2023-77-7-315-318","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-07-19T09:18:02Z","doi":"10.36652/0869-4931-2023-77-7-315-318","addedAt":"2026-08-31T06:39:57.704Z","updatedAt":"2026-08-31T06:40:00.188Z"},{"id":"doi:10.2514/6.2009-2045","name":"Unmanned Aerial Vehicle Systems for Disaster Relief: Tornado Alley","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2009-2045","authors":["Wesley DeBusk"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2013-12-09T20:26:22Z","doi":"10.2514/6.2009-2045","addedAt":"2026-08-31T06:39:57.704Z","updatedAt":"2026-08-31T06:40:00.188Z"},{"id":"doi:10.1109/dasc.2011.6096244","name":"Turkish Aerospace Industries Inc. Anka unmanned aerial vehicle system","source":"crossref","abstract":"","url":"https://doi.org/10.1109/dasc.2011.6096244","authors":["Ahmet Yapici"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2011-12-15T17:02:52Z","doi":"10.1109/dasc.2011.6096244","addedAt":"2026-08-31T06:39:57.704Z","updatedAt":"2026-08-31T06:40:00.188Z"},{"id":"doi:10.2139/ssrn.3631317","name":"Performance Analysis of High Wing for a Micro Class Unmanned Aerial Vehicle.","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.3631317","authors":["Akshay Prasad"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2020-07-15T11:55:03Z","doi":"10.2139/ssrn.3631317","addedAt":"2026-08-31T06:39:57.704Z","updatedAt":"2026-08-31T06:40:00.188Z"},{"id":"doi:10.1109/apuavd53804.2021.9615436","name":"Methods for Parametric Adjustment of a Digital System and Precision Automatic Stabilization of an Unmanned Aerial Vehicle","source":"crossref","abstract":"","url":"https://doi.org/10.1109/apuavd53804.2021.9615436","authors":["Olena Tachinina","Olexandr Lysenko","Iryna Alekseeva","Valeriy Novikov","Ihor Sushyn"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2021-11-26T15:15:08Z","doi":"10.1109/apuavd53804.2021.9615436","addedAt":"2026-08-31T06:39:57.704Z","updatedAt":"2026-08-31T06:40:00.188Z"},{"id":"doi:10.1002/gj.4677/v3/review1","name":"Review for \"Slope deformation detection using subpixel offset tracking and an unsupervised learning technique based on unmanned aerial vehicle photogrammetry data\"","source":"crossref","abstract":"","url":"https://doi.org/10.1002/gj.4677/v3/review1","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-01-30T16:02:35Z","doi":"10.1002/gj.4677/v3/review1","addedAt":"2026-08-31T06:39:57.704Z","updatedAt":"2026-08-31T06:39:58.777Z"},{"id":"doi:10.1109/access.2023.3282995","name":"Migratory Unmanned Aerial Vehicle System (MiUAV) for Automated Infrastructure Inspection","source":"crossref","abstract":"","url":"https://doi.org/10.1109/access.2023.3282995","authors":["Hideya So"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-06-05T17:56:26Z","doi":"10.1109/access.2023.3282995","addedAt":"2026-08-31T06:39:57.704Z","updatedAt":"2026-08-31T06:40:00.188Z"},{"id":"doi:10.1109/aero.2013.6497180","name":"Quaternion-based backstepping control of a fixed-wing unmanned aerial vehicle","source":"crossref","abstract":"","url":"https://doi.org/10.1109/aero.2013.6497180","authors":["E. Oland","R. Kristiansen"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2014-03-10T17:11:55Z","doi":"10.1109/aero.2013.6497180","addedAt":"2026-08-31T06:39:57.704Z","updatedAt":"2026-08-31T06:40:00.188Z"},{"id":"doi:10.17918/etd-3262","name":"A hardware-in-the-loop testing facility for unmanned aerial vehicle sensor suites and control algorithms","source":"crossref","abstract":"In the past decade Unmanned Aerial Vehicles (UAVs) have rapidly grown into a major field of robotics in both industry and academia. Many well established platforms have been developed, and the demand continues to grow. However, the UAVs utilized in industry are predominately remotely piloted aircraft offering very limited levels of autonomy. In contrast, fully autonomous flight has been achieved in research, and the degree of autonomy continues to grow, with research now focusing on advanced tasks such as navigating cluttered terrain and formation flying. The gap between academia and industry is the robustness of control algorithms. Academic research often focuses on proof of concept demonstrations with little or no consideration to real world concerns such as adverse weather or sensor integration. One of the goals of this thesis is to integrate real world issues into the design process. A testing environment was designed and built that allows sensors and control algorithms to be tested against real obstacles and environmental conditions in a controlled, repeatable fashion. The use of this facility is demonstrated in the implementation of a safe landing zone algorithm for a robotic helicopter equipped with a laser scanner. Results from tests conducted in the testing facility are used to analyze results from flights in the field. Controlling the testing environment also provides a baseline to evaluate different control solutions. In the current research paradigm, it is difficult to determine which research questions have been solved because the testing conditions vary from researcher to researcher. A common testing environment eliminates ambiguities and allows solutions to be characterized based on their performance in different terrains and environmental conditions. This thesis explores how flight tests can be conducted in the lab using the actual hardware and control algorithms. The sensor package is attached to a 6 DOF gantry whose motion is governed by the dynamic model of the aircraft. To provide an expansive terrain over which the flight can be conducted, a scaled model of the environment was created. The feasibility of using a scaled environment is demonstrated with a common sensor package and control task: using computer vision to guide an autonomous helicopter. The effects of scaling are investigated, and the approach validated by comparing results in the scaled model to actual flights. Finally, it is demonstrated how the facility can be used to investigate the effect of adverse conditions on control algorithm performance. The overarching philosophy of this work is that incorporating real world concerns into the design process leads to more fully developed and robust solutions.","url":"https://doi.org/10.17918/etd-3262","authors":["Keith Wayne Sevcik","Paul Yu Oh"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2021-07-16T02:32:29Z","doi":"10.17918/etd-3262","addedAt":"2026-08-31T06:39:57.704Z","updatedAt":"2026-08-31T06:40:00.188Z"},{"id":"doi:10.2139/ssrn.5337755","name":"Cnom: A Real Time Unmanned Aerial Vehicle Trajectory Optimization Method Under Wireless Power Transmission","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.5337755","authors":["Xunkang Zhao","Rui Wang","Kaiwen Li"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-07-03T14:39:28Z","doi":"10.2139/ssrn.5337755","addedAt":"2026-08-31T06:39:57.704Z","updatedAt":"2026-08-31T06:40:00.188Z"},{"id":"doi:10.13052/rp-9788770040723.146","name":"Autonomous Trajectory Planning For Unmanned Aerial Vehicle","source":"crossref","abstract":"","url":"https://doi.org/10.13052/rp-9788770040723.146","authors":["Kailash S","Dr.K. Sornalakshmi"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-09-13T17:26:08Z","doi":"10.13052/rp-9788770040723.146","addedAt":"2026-08-31T06:39:57.704Z","updatedAt":"2026-08-31T06:40:00.188Z"},{"id":"doi:10.1007/978-3-031-08395-2","name":"Unmanned Aerial Vehicle Cellular Communications","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-031-08395-2","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2022-10-11T09:07:30Z","doi":"10.1007/978-3-031-08395-2","addedAt":"2026-08-31T06:39:57.704Z","updatedAt":"2026-08-31T06:40:00.188Z"},{"id":"doi:10.1007/978-981-96-9662-8","name":"Reconfigurable Intelligent Surfaces for Unmanned Aerial Vehicle Communication","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-981-96-9662-8","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-05-18T14:14:16Z","doi":"10.1007/978-981-96-9662-8","addedAt":"2026-08-31T06:39:57.704Z","updatedAt":"2026-08-31T06:40:00.188Z"},{"id":"doi:10.5220/0010554902740281","name":"Fractional Order Tracking Control of Unmanned Aerial Vehicle in Presence of Model Uncertainties and Disturbances","source":"crossref","abstract":"","url":"https://doi.org/10.5220/0010554902740281","authors":["Heera Maurya","Padmini Singh","Subhash Yogi","Laxmidhar Behera","Nishchal Verma"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2021-07-22T20:49:32Z","doi":"10.5220/0010554902740281","addedAt":"2026-08-31T06:39:57.704Z","updatedAt":"2026-08-31T06:40:00.188Z"},{"id":"doi:10.38007/proceedings.0000880","name":"Design of a Plant Protection Unmanned Aerial Vehicle Centrifugal Atomizing System","source":"crossref","abstract":"","url":"https://doi.org/10.38007/proceedings.0000880","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2020-07-28T21:34:23Z","doi":"10.38007/proceedings.0000880","addedAt":"2026-08-31T06:39:57.704Z","updatedAt":"2026-08-31T06:40:00.188Z"},{"id":"doi:10.1109/iwcmc51323.2021.9498629","name":"Unmanned Aerial Vehicle Detection and Identification Using Deep Learning","source":"crossref","abstract":"","url":"https://doi.org/10.1109/iwcmc51323.2021.9498629","authors":["Hongjie Liu"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2021-08-09T18:27:05Z","doi":"10.1109/iwcmc51323.2021.9498629","addedAt":"2026-08-31T06:39:57.704Z","updatedAt":"2026-08-31T06:40:00.188Z"},{"id":"doi:10.54097/dc9y0s70","name":"Path Planning Approaches for Unmanned Aerial Vehicle","source":"crossref","abstract":"The difficulty of finding the ideal path from the starting point to the destination site for a UAV is one of the most essential challenges related with the deployment of unmanned aerial vehicle (UAV). Path planning algorithms are classified into traditional and intelligent algorithms in this article based on the order of discovery of the path planning methods. Intelligent algorithms are algorithms that are inspired by nature and can efficiently tackle the complex path planning problem. In this article, by introducing the different advantages of traditional algorithms and intelligent algorithms, it proposes employing intelligent algorithms to address the inefficiencies of traditional algorithms in uncertain conditions. The essay also outlines three classical intelligent algorithms and proposes optimization algorithms for their respective deficiencies. The article also discusses the objectives and constraints of UAV path planning. This analysis will help define the outcomes of UAV path planning and suggest the future research directions.","url":"https://doi.org/10.54097/dc9y0s70","authors":["Han Cao"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-01-26T15:34:42Z","doi":"10.54097/dc9y0s70","addedAt":"2026-08-31T06:39:57.704Z","updatedAt":"2026-08-31T06:40:00.188Z"},{"id":"doi:10.1201/b15552-22","name":"Video Communications in Unmanned Aerial Vehicle-Based Cyber- Physical Systems","source":"crossref","abstract":"","url":"https://doi.org/10.1201/b15552-22","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2013-09-03T20:19:30Z","doi":"10.1201/b15552-22","addedAt":"2026-08-31T06:39:57.704Z","updatedAt":"2026-08-31T06:40:00.188Z"},{"id":"doi:10.18372/1990-5548.53.12146","name":"UNMANNED AERIAL VEHICLE INTEGRATED NAVIGATION COMPLEX","source":"crossref","abstract":"","url":"https://doi.org/10.18372/1990-5548.53.12146","authors":["F. M. Zakharin","S. А. Ponomarenko"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2018-01-17T09:05:19Z","doi":"10.18372/1990-5548.53.12146","addedAt":"2026-08-31T06:39:57.704Z","updatedAt":"2026-08-31T06:40:00.188Z"},{"id":"doi:10.1109/etcs.2009.415","name":"Virtual Image Generation from Low Altitude Unmanned Aerial Vehicle Digital Aerial Camera","source":"crossref","abstract":"","url":"https://doi.org/10.1109/etcs.2009.415","authors":["Cui Hongxia","Lin Zongjian","Meng Wenli"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2009-05-27T15:20:38Z","doi":"10.1109/etcs.2009.415","addedAt":"2026-08-31T06:39:57.704Z","updatedAt":"2026-08-31T06:40:00.188Z"},{"id":"doi:10.4018/978-1-7998-8763-8.ch004","name":"Design and Implementation of an Amphibious Unmanned Aerial Vehicle System for Agriculture Applications","source":"crossref","abstract":"Today, drone systems have become an emerging technology for agriculture applications as an unmanned aerial vehicle (UAV). They help the farmers in crop monitoring and production. They are used to reduce human resources and to control pollution in the agriculture field. In real-time, drones are suitable for working in the agriculture field during strong winds and even in various climate conditions. This chapter proposes an amphibious unmanned aerial vehicle (UAV) system design and implementation for agriculture applications. Drones are useful to avoid deforestation in India. The estimated simulation results are used to calculate the drones' efficiency using their weight, flying time, and power consumption. In this chapter, three different UAV system phases have been discussed (i.e., design of drones, the building of payload, and evaluation of drone using the software). This chapter helps the beginners understand the necessary calculations of the drone design along with thrust values, select the propellers sizes, and calculate the drone's flying time, stability, and power consumption.","url":"https://doi.org/10.4018/978-1-7998-8763-8.ch004","authors":["Arun Kumar Manoharan","Mohamed Ismail K.","Nagarjuna Telagam"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2022-09-01T13:01:55Z","doi":"10.4018/978-1-7998-8763-8.ch004","addedAt":"2026-08-31T06:39:57.704Z","updatedAt":"2026-08-31T06:40:00.188Z"},{"id":"doi:10.1117/1.oe.55.12.123111","name":"Algorithm for unmanned aerial vehicle aerial different-source image matching","source":"crossref","abstract":"","url":"https://doi.org/10.1117/1.oe.55.12.123111","authors":["Yujia Zuo","Jinghong Liu","Mingyu Yang","Xuan Wang","Mingchao Sun"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2016-12-22T03:42:44Z","doi":"10.1117/1.oe.55.12.123111","addedAt":"2026-08-31T06:39:57.704Z","updatedAt":"2026-08-31T06:40:00.188Z"},{"id":"doi:10.3846/aviation.2019.10300","name":"ROBUST CONTROLLER FOR SUPERSONIC UNMANNED AERIAL VEHICLE","source":"crossref","abstract":"The article is devoted to the synthesis of robust controllers of supersonic unmanned aerial vehicle motion parameters. During the flight, the velocity and altitude of the aircraft varies rapidly within wide limits. Therefore, the required quality of control on each trajectory is provided by a set of dynamic controllers with constant coefficients. The article substantiates the number of such controllers, researches the range of their efficiency. The obtained restrictions on the amplitude-frequency characteristics and weight functions are given. Transients are shown","url":"https://doi.org/10.3846/aviation.2019.10300","authors":["Vitalii Burnashev","Aleksandr Zbrutsky"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2019-05-24T12:00:25Z","doi":"10.3846/aviation.2019.10300","addedAt":"2026-08-31T06:39:57.704Z","updatedAt":"2026-08-31T06:40:00.188Z"},{"id":"doi:10.70675/0900511cz381bz4819za7c0zc85b66fe53f3","name":"Real-time implementation of counting people in a crowd on the embedded reconfigurable architecture on the unmanned aerial vehicle","source":"crossref","abstract":"Implantation temps réel deComptage de personnes dans une foule sur architecture reconfigurable embarquée sur un drone Le comptage des foules est un sujet de recherche important. De nos jours, la population est de plus en plus préoccupée par les problèmes de sécurité. Lorsque la densité de population atteint des pics élevés, les systèmes de comptage se mettent en route et analyse les foules, afin de réorienter le surplus de personnes lorsque le seuil normal est dépassé. Avec ce genre de système, le piétinement du nouvel an de Shanghai ne se reproduirait plus. Actuellement, le comptage de population rencontre deux problèmes majeurs : l’analyse des foules dans les zones à forte densité de population, ou comment faire pour que le modèle distingue le plus finement possible les caractéristiques d’une tête humaine d’une part; et comment trouver une caractéristique de tête dans une image avec une large gamme de densité de population d’autre part. L’aspect le plus critique pour cette analyse est l’impossibilité d’installer un système de vidéosurveillance intelligent dans certains lieux publics. Dans ces conditions, comment pourrions-nous estimer la densité de population dans ces zones afin d’éviter de futurs accidents ? Face à ces défis, nous proposons la mise en œuvre d’une architecture embarquée reconfigurable en temps réel pour le comptage des personnes dans les zones de regroupement. Premièrement, notre travail intègre les fonctionnalités de HOG et LBP, qui non seulement combinent les informations d’identifications de multiples caractéristiques, mais également la plupart des informations redondantes, réalisant ainsi une compression efficace des informations, économisant ainsi de l’espace mémoire pour le stockage des données. Pour le comptage de personnes dans une foule, nous utilisons plusieurs sources d’informations, à savoir HOG, LBP et le filtrage de CANNY. Ces sources fournissent des estimations distinctes du nombre de personnes comptées et d’autres mesures statistiques de classification, par le biais du vecteur de support machine SVM. Dans le même temps, afin de résoudre efficacement le problème d’extraction des fonctionnalités liées à l’échelle dans le comptage de foules, nous proposons un nouveau environnement M-MCNN basé sur MCNN utilisé pour le comptage de foules sur une seule image. M-MCNN contient non seulement les trois colonnes originales des réseaux de neurones convolutionnels avec différentes tailles de filtres, mais aussi remplace les couches entièrement connectées par une couche convolutionnelle de filtre 1*1, de sorte que l’image d’entrée du modèle peut être de n’importe quelle taille. De plus, pour un échantillon individuel, nous améliorons considérablement l’apprentissage des caractéristiques de l’échantillon en extrayant les caractéristiques de texture d’une seule tête humaine et mieux l’utiliser pour les jeux de données. Enfin, nous implémentons notre nouveau framework M-MCNN sur un FPGA et l’installons sur un drone pour estimer et prévoir la zone de foule à haute densité en temps réel. Notre modèle a obtenu de bons résultats en comptage de personnes dans une foule.","url":"https://doi.org/10.70675/0900511cz381bz4819za7c0zc85b66fe53f3","authors":["Songchenchen Gong"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-04-04T06:04:26Z","doi":"10.70675/0900511cz381bz4819za7c0zc85b66fe53f3","addedAt":"2026-08-31T06:39:57.704Z","updatedAt":"2026-08-31T06:40:00.188Z"},{"id":"doi:10.30837/rt.2024.4.219.09","name":"Mathematical modelling of unmanned aerial vehicle based wideband spectrum sensing","source":"crossref","abstract":"The number of low-power radio electronic devices is constantly increasing in modern information society. The detection of such radio frequency sources (RFS), their localization and parameters estimation using stationary radio monitoring equipment, especially in cities, is ineffective. By placing a sensor on an unmanned aerial vehicle (UAV), it is possible to collect data about spatial, frequency and time parameters of RFS in a certain volume by flying around it and analyzing received signals. The absence or incompleteness of a priori information about the RFS and the radio wave propagation medium requires the creation of an appropriate mathematical model that will take into account the unknown parameters of RFS and the radio wave propagation medium, as well as the movement of radio sensor. The aim of the article is to optimize the process of analyzing the electromagnetic environment using a panoramic spectrum sensor placed on UAVs by developing a mathematical model of the received signal that takes into account the effects of radio wave propagation caused by UAVs’ movement. It was found that the change of received signal strength depends on distance between the transmitter and the receiver is determined by propagation losses, shadowing, fading due to multipath propagation and the non-isotropy of the directional patterns of the RFS. Processing received signal strength, taking into account the terrain and the location of other objects on the UAV flight trajectory, will allow us to approximately estimate the location of RFS provided that its position remains unchanged. An increase in the number of flights along different routes will increase the accuracy of estimating the coordinates of RFS. In result of the research, a mathematical model was obtained that describes the received signal strength under the influence of multi-scale fading and takes into account the scanning mode of the radio sensor, its movement, and unknown shape of the RFS antenna pattern. in modern information society, Proposals were made to separate fading components using low-pass filtering. This will make it possible to estimate the location of the RFS in the case of joint processing of the measured values of the received signal strength and the UAV flight trajectory.","url":"https://doi.org/10.30837/rt.2024.4.219.09","authors":["M.V. Buhaiov"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-05-29T11:30:48Z","doi":"10.30837/rt.2024.4.219.09","addedAt":"2026-08-31T06:39:57.704Z","updatedAt":"2026-08-31T06:40:00.188Z"},{"id":"doi:10.19062/2247-3173.2016.18.1.26","name":"UNMANNED AERIAL VEHICLE IN MILITARY OPERATIONS","source":"crossref","abstract":"","url":"https://doi.org/10.19062/2247-3173.2016.18.1.26","authors":["Gheorghe UDEANU","Alexandra DOBRESCU","Mihaela OLTEAN"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2016-06-30T03:32:44Z","doi":"10.19062/2247-3173.2016.18.1.26","addedAt":"2026-08-31T06:39:57.704Z","updatedAt":"2026-08-31T06:40:00.188Z"},{"id":"doi:10.15199/48.2016.02.49","name":"Battery Discharge forecast applied in Unmanned Aerial Vehicle","source":"crossref","abstract":"","url":"https://doi.org/10.15199/48.2016.02.49","authors":["Darielson Souza"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2016-03-01T13:52:24Z","doi":"10.15199/48.2016.02.49","addedAt":"2026-08-31T06:39:57.704Z","updatedAt":"2026-08-31T06:39:58.777Z"},{"id":"doi:10.70675/ffacea34z4878z4c1ez93c4zd10bde4f4944","name":"Study of the sensitivity to the lateral wind of a Mini Unmanned Aerial Vehicle with VTOL flight capabilities","source":"crossref","abstract":"Etude de la sensibilité au vent latéral d'un mini-drone à capacité de vol stationnaire Dans l’évolution actuelle de mini-drones à décollage et atterrissage vertical, configurations convertibles de type “tilt-rotors” et “tilt-body” sont de plus en plus souvent utilisées. Ces configurations se sont avérées être très sensibles à l’effet du vent latéral quand ils sont en vol de transition ou tout simplement en vol à basse vitesse. Pour cette raison, une bonne compréhension du comportement d’un proprotor et de l’interaction proprotor-voilure à incidence est nécessaire pour la conception de ce type de drones. Un modèle à l’échelle du mini-drone MiniREC a été testée à la soufflerie S4 de type Eiffel de l’ISAE pour comprendre le comportement de la charge aérodynamique du proprotor au cours de la transition du vol vertical au vol horizontal. Aussi, pour observer l’effet d’échelle et étudier le type de proprotor utilisé normalement par les MAV, une deuxième expérience pour proprotors à incidence a été réalisée à la soufflerie SaBRE. Un anémomètre à film chaud a été utilisé pour caractériser le sillage de l’hélice. Les résultats expérimentaux ont montré la grande incidence de ces forces sur la stabilité longitudinale du drone à des angles d’incidence élevés. Il a également été montré que l’écoulement généré par un proprotor au incidence est de nature très instable, cequi rend sa modélisation complexe. D’un point de vue numérique, l’étude de l’hélice à l’incidence a été faite en utilisant l’hypothèse de Glauert pour un disque actuateur au incidence. Les résultats analytiques sont comparés avec les résultats expérimentaux obtenus à partir des mesures à film chauden 2D et une simulation CFD d’un disque actuateur au incidence chargé avec une charge moyenne équivalente aux valeurs de poussée expérimentales SaBRE et une simulation URANS CFD de l’hélice complète. En outre, les résultats de l’expérience S4 ont été comparés au modèle de Ribner pour les hélices en lacet et le modèle de Young qui est une modification statistique de l’analyse Ribner. La modification proposée du modèle de Ribner donne de bons résultats pour les rotors seul, même à des angles d’attaque élevés. Toutefois, il a été clairement démontré que son amélioration ou un nouveau modèle sont nécessaires afin de prévoir correctement la poussée et les forces produites par proprotors simples et co-axiaux. Pour cela un méthode quasi-stationnaire du premier ordre basée sur la théorie de la dynamique des éléments pales a été développée. Enfin, un prototype aérodynamique avec une sensibilité réduite au vent latéral a été conçu, construit et testé dans la soufflerie S4. Le test a montré que la première conclusion à propos de la contribution du proprotor à la sensibilité longitudinaletotale des mini-drones était justifiée et que la nouvelle configuration fait un candidat idéal pour lesconceptions futures de mini-drones basculant à décollage et atterrissage vertical.","url":"https://doi.org/10.70675/ffacea34z4878z4c1ez93c4zd10bde4f4944","authors":["David Gomez Ariza"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-04-02T16:58:45Z","doi":"10.70675/ffacea34z4878z4c1ez93c4zd10bde4f4944","addedAt":"2026-08-31T06:39:57.704Z","updatedAt":"2026-08-31T06:40:00.188Z"},{"id":"doi:10.47749/t/unicamp.2016.979192","name":"Retrieval of field-level information of sugarcane using unmanned aerial vehicle (UAV) data under different approaches","source":"crossref","abstract":"","url":"https://doi.org/10.47749/t/unicamp.2016.979192","authors":["Carlos Henrique Wachholz de Souza"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2021-06-22T20:34:43Z","doi":"10.47749/t/unicamp.2016.979192","addedAt":"2026-08-31T06:39:57.704Z","updatedAt":"2026-08-31T06:39:57.704Z"},{"id":"doi:10.21236/ada476904","name":"Human Robotics Interaction Army Technology Objective Raven Small Unmanned Aerial Vehicle Task Analysis and Modeling","source":"crossref","abstract":"","url":"https://doi.org/10.21236/ada476904","authors":["Regina A. Pomranky"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2017-07-14T12:16:36Z","doi":"10.21236/ada476904","addedAt":"2026-08-31T06:39:57.704Z","updatedAt":"2026-08-31T06:39:57.704Z"},{"id":"doi:10.31224/7685","name":"Automated Multi-Class Structural Damage Detection and Segmentation for Unmanned Aerial Vehicle-Based Infrastructure Inspection Using Deep Learning","source":"crossref","abstract":"This study presents a three-stage deep learning framework for automated structural damage classification, segmentation, and unmanned aerial vehicle (UAV)-based inspection simulation targeting bridges, offshore platforms, and other civil infrastructure. Stage 1 fine-tunes ResNet50 with differential learning rates and class weighting to classify crack, corrosion, spalling, and intact surfaces, achieving 85.69% accuracy on a held-out test set of 1,600 images drawn from multi-source public datasets, with the differential learning rate strategy contributing an 8.25% improvement over the frozen-backbone baseline. A targeted augmentation strategy addresses minority-class imbalance and yields a spalling F1-score of 0.886 under the balanced evaluation protocol. Stage 2 applies DeepLabV3+ with a partially unfrozen ResNet50 backbone for pixel-level damage localization, achieving mean intersection over union (mIoU) values of 0.7890 for three-class segmentation and 0.6446 for four-class segmentation, the latter incorporating 315 real UAV crack images to extend the training distribution to the aerial perspective absent from most public crack datasets. Stage 3 integrates frame-level inference into a boustrophedon UAV grid inspection simulation that produces a severity-coded damage map and a structured JSON inspection report, identifying 16 of the 20 damaged zones. Average CPU inference time is 16.29 ms per frame (61 frames per second), consistent with near-real-time deployment on modest hardware. Ablation studies of backbone unfreezing depth and Grad-CAM visualizations provide additional support for the robustness and interpretability of the proposed pipeline. The framework demonstrates that multi-class damage recognition, pixel-level localization, and inspection workflow integration can be combined in a single reproducible system built entirely on open data.","url":"https://doi.org/10.31224/7685","authors":["Seyed Farhad Abtahi"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-07-25T14:07:06Z","doi":"10.31224/7685","addedAt":"2026-08-31T06:39:57.704Z","updatedAt":"2026-08-31T06:40:00.188Z"},{"id":"doi:10.1115/pvp2011-57567","name":"Multi-Disciplinary Design Optimization of Unmanned Aerial Vehicle","source":"crossref","abstract":"A general procedure of preliminary design of aircraft and one-way fluid-structure interaction (FSI) applied to aircraft design is introduced briefly. Then, FSI and optimization technique are implemented to optimize a wing shape of an unmanned aerial vehicle (UAV) for minimum cruise drag. FSI analysis and optimization processes for minimizing drag of UAV are explained. Design variables are wing taper ratio and dihedral angle, and objective function is the cruise drag of UAV. Fluid solution is generated with Euler solver and structural analysis is performed with FEM solver, Diamond. Sample points are selected by Design of Experiment (DOE) method and Kriging method is used for generation of an approximation model.","url":"https://doi.org/10.1115/pvp2011-57567","authors":["Cheolwan Kim","Yung-Gyo Lee"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2012-05-26T22:05:35Z","doi":"10.1115/pvp2011-57567","addedAt":"2026-08-31T06:39:57.704Z","updatedAt":"2026-08-31T06:40:00.188Z"},{"id":"doi:10.23919/spa.2017.8166840","name":"Analysis of signal of X8 unmanned aerial vehicle","source":"crossref","abstract":"","url":"https://doi.org/10.23919/spa.2017.8166840","authors":["Marzena Miesikowska"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2017-12-07T18:30:11Z","doi":"10.23919/spa.2017.8166840","addedAt":"2026-08-31T06:39:57.704Z","updatedAt":"2026-08-31T06:40:00.188Z"},{"id":"doi:10.7287/peerj-cs.1119v0.2/reviews/2","name":"Peer Review #2 of \"Heterogeneous mission planning for a single unmanned aerial vehicle (UAV) with attention-based deep reinforcement learning (v0.2)\"","source":"crossref","abstract":"","url":"https://doi.org/10.7287/peerj-cs.1119v0.2/reviews/2","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2022-10-22T02:30:58Z","doi":"10.7287/peerj-cs.1119v0.2/reviews/2","addedAt":"2026-08-31T06:39:57.704Z","updatedAt":"2026-08-31T06:39:58.777Z"},{"id":"doi:10.28956/gbd.1212382","name":"İNSANSIZ HAVA ARAÇLARININ VE İNSANSIZ HAVA ARACI SİSTEMLERİNİN ADLİ BİLİMLER AÇISINDAN ÖNEMİ","source":"crossref","abstract":"Adli olayların bilimsel yöntemler ve analizler kullanarak incelenip çözümlenmesinde adli bilimlerin yargı sistemine katkısı son derecede kıymetlidir. Olay yerinin incelenmesinden elde edilen bulgular, adli bilimciler tarafından yapılan analizler ve değerlendirmeler, mahkemeye sunulacak kanıtlar hâline gelir. Suçun varlığı irdelenir, mağdur, fail ve olay yeri arasındaki ilişkiler bu kanıtlar sayesinde aydınlatılır. Adaletin sağlanması ve güvenli bir yaşam alanı için çalışan tüm birimlerin faaliyetlerinin yakından takip edilmesi önemlidir. 21. yüzyıl içinde bu çalışmalara katkı sağlayanların başında insansız hava araçları ve insansız hava aracı sistemleri gelir. İnsansız Hava Aracı; bir pilot aracılığıyla uzaktan kumanda edilen veya otonom operasyonu planlanan hava aracı olarak tanımlanır. Kontrol istasyonu, komuta ve kontrol veri bağı, kalkış ve iniş sistemi gibi birbirinden ayrı sistem elemanlarının bütününe İnsansız Hava Aracı Sistemi denir. Askerî alanda kullanım amacıyla geliştirilen bu sistemler zamanla donanımının geliştirilmesiyle sivil alanlarda da kullanılmaya başlamıştır. Gazetecilik ve habercilik, afet yönetimi, arama kurtarma operasyonları, haritacılık, üç boyutlu modelleme, güvenlik denetimleri, sınır denetimi, meteorolojik takip, ekolojik çalışmalar, madencilik, arkeolojik çalışmalar başlıca kullanıldığı alanlardır. Literatür taraması yapılarak hazırlanan bu derleme çalışmasında İnsansız Hava Aracı ve sistemlerinin geçmişi, özellikleri ve sivil kullanım alanları araştırılmış, adli bilimler açısından özellikle olay yeri inceleme alanında kullanımının önemi ve gerekliliği tartışmaya açılmıştır.","url":"https://doi.org/10.28956/gbd.1212382","authors":["Barış LAFCI","Emine Gül TAŞ","Nergis CANTÜRK"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2022-11-30T11:12:27Z","doi":"10.28956/gbd.1212382","addedAt":"2026-08-31T06:39:57.704Z","updatedAt":"2026-08-31T06:40:00.188Z"},{"id":"doi:10.5194/egusphere-egu2020-6257","name":"Detecting geological structures in coastal area of Buan, South Korea using unmanned aerial vehicle images","source":"crossref","abstract":"&amp;lt;p&amp;gt;This study attempted to use unmanned aerial vehicle (UAV) photogrammetry for structural mapping at limited exposure outcrops in the west coast area of Buan, South Korea. The west coast area of Buan has a large tidal range, and there are restrictions for traditional structure mapping. High spatial resolution (about 4.5 cm per pixel) UAV images were obtained at low tide from a selected study site. The UAV survey identified 50 brittle structures (fractures and faults that were divided into three groups) and changes in the bedding trace. The bedding trace demonstrates various directional verging of the fold geometry that indicates slump-fault structures. While more research is still necessary, this study demonstrated that UAV mapping techniques are very useful for geological structural analysis in coastal areas.&amp;lt;/p&amp;gt;","url":"https://doi.org/10.5194/egusphere-egu2020-6257","authors":["Hong-Jin Lee","Kyoungtae Ko"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2020-03-09T17:38:24Z","doi":"10.5194/egusphere-egu2020-6257","addedAt":"2026-08-31T06:39:57.704Z","updatedAt":"2026-08-31T06:40:00.188Z"},{"id":"doi:10.7287/peerj-cs.1119v0.2/reviews/1","name":"Peer Review #1 of \"Heterogeneous mission planning for a single unmanned aerial vehicle (UAV) with attention-based deep reinforcement learning (v0.2)\"","source":"crossref","abstract":"","url":"https://doi.org/10.7287/peerj-cs.1119v0.2/reviews/1","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2022-10-22T02:31:02Z","doi":"10.7287/peerj-cs.1119v0.2/reviews/1","addedAt":"2026-08-31T06:39:57.704Z","updatedAt":"2026-08-31T06:39:58.777Z"},{"id":"doi:10.38007/proceedings.0000881","name":"Design of a Plant Protection Unmanned Aerial Vehicle Ultrasonic Atomizing System","source":"crossref","abstract":"","url":"https://doi.org/10.38007/proceedings.0000881","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2020-07-28T21:34:23Z","doi":"10.38007/proceedings.0000881","addedAt":"2026-08-31T06:39:57.704Z","updatedAt":"2026-08-31T06:39:57.704Z"},{"id":"doi:10.2139/ssrn.6334067","name":"Design and Performance Analysis of a 7S2P Sodium-Ion Battery Pack for Unmanned Aerial Vehicle Applications ​","source":"crossref","abstract":"​AbstractThis paper presents the design, implementation, and performance analysis of a 7S2P sodium-ion battery pack optimized for unmanned aerial vehicle (UAV) applications. The 22.4 V, 10 Ah (189 Wh) pack integrates passive cell balancing, comprehensive protection circuitry, and thermal management features. Rigorous computational modeling and simulation evaluate discharge characteristics, thermal behavior, and cell balancing efficacy across operational conditions. Results demonstrate that the proposed design achieves energy density of approximately 105–118 Wh/kg and sustains a 3C discharge rate while maintaining thermal stability. Flight time estimations indicate 28.5 minutes of operation at 300 W power consumption, confirming the viability of sodium-ion technology for drone applications where moderate energy density and enhanced sustainability are prioritized.","url":"https://doi.org/10.2139/ssrn.6334067","authors":["Sarthak  Sanjay Lokhande Lokhande"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-03-03T08:41:51Z","doi":"10.2139/ssrn.6334067","addedAt":"2026-08-31T06:39:57.704Z","updatedAt":"2026-08-31T06:39:58.972Z"},{"id":"doi:10.21236/ada435397","name":"The Raven Small Unmanned Aerial Vehicle (SUAV), Investigating Potential Dichotomies Between Doctrine and Practice","source":"crossref","abstract":"","url":"https://doi.org/10.21236/ada435397","authors":["Glenn E. Jenkins","William J. Snodgrass","Jr"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2017-08-11T18:55:25Z","doi":"10.21236/ada435397","addedAt":"2026-08-31T06:39:57.704Z","updatedAt":"2026-08-31T06:39:57.704Z"},{"id":"doi:10.11606/t.55.2018.tde-16102018-100220","name":"Development of an autonomous unmanned aerial vehicle  specification of a fixed-wing vertical takeoff and landing aircraft","source":"crossref","abstract":"","url":"https://doi.org/10.11606/t.55.2018.tde-16102018-100220","authors":["Natássya Barlate Floro da Silva"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2018-11-01T09:24:41Z","doi":"10.11606/t.55.2018.tde-16102018-100220","addedAt":"2026-08-31T06:39:57.704Z","updatedAt":"2026-08-31T06:39:57.704Z"},{"id":"doi:10.7287/peerj-cs.1119v0.1/reviews/1","name":"Peer Review #1 of \"Heterogeneous mission planning for a single unmanned aerial vehicle (UAV) with attention-based deep reinforcement learning (v0.1)\"","source":"crossref","abstract":"","url":"https://doi.org/10.7287/peerj-cs.1119v0.1/reviews/1","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2022-10-22T02:30:57Z","doi":"10.7287/peerj-cs.1119v0.1/reviews/1","addedAt":"2026-08-31T06:39:57.704Z","updatedAt":"2026-08-31T06:39:58.777Z"},{"id":"doi:10.1139/juvs-2013-0020","name":"Implementing low cost two-person supervisory control for small unmanned aerial systems","source":"crossref","abstract":"Commercially off-the-shelf remote control (RC) model aircraft have been used as a base platform for the development of small unmanned aerial systems (sUAS). Such designs have included use of first person view (FPV), inertial measurement units, and autopilot systems. Recommended guidelines established for operation of FPV recreational RC aircraft have applicability to operation of sUAS, when use of consistent components and platforms are considered. The purpose of this research was to examine existing literature, guidance, regulations, and other influencing factors to assess the necessity of redundancy management practices to identify recommended control stratagem, processes and procedures, operational criteria, and design of a proof of concept system to operate sUAS with optimal safety and operational benefits within recommended and legislated boundaries. Qualitative content analysis techniques were used to perform a literature review, while a survey of applicable technology (e.g., equipment, components, and software) was used in the development of a proof of concept system. The results were identification of a recommended supervisory control framework, a simulated supervisory control system, a physical proof of concept system, and a series of recommendations relating to considerations and potential follow-up research to better understand the limitations, constraints, and applicable benefits in the actual operation environment.","url":"https://doi.org/10.1139/juvs-2013-0020","authors":["Brent A. Terwilliger","David Ison"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2014-04-01T11:42:26Z","doi":"10.1139/juvs-2013-0020","addedAt":"2026-08-31T06:39:57.704Z","updatedAt":"2026-08-31T06:39:57.704Z"},{"id":"doi:10.1139/juvs-2020-0036","name":"Design and development of autonomous amphibious unmanned aerial vehicle for in situ water quality assessment and water sampling","source":"crossref","abstract":"This paper presents the design and development of an autonomous amphibious unmanned aerial vehicle (AAUAV) system with hybrid version of a multicopter and a hovercraft that can vertically take-off and land as well as travel on water and smooth earth surfaces for water-based applications like water quality assessment, water sampling, remote sensing, underwater mapping, etc. Based on the conceptual design, parameters such as aircraft overall dimensions, weight estimation, aircraft performance, power requirement, and endurance of the UAV were calculated and evaluated. Using these computed parameters, a suitable propulsion system was selected. A 3D CAD model of the UAV was developed, and 2D manufacturing drawings were made. Finally, a prototype of the UAV was fabricated, assembled, and all the sub-systems were integrated. Initial trial runs were made to check the proper functioning of all sub-systems as intended. Subsequently, to verify and validate the UAV’s concept and design configuration, ground and field tests were conducted to test the vertical take-off and landing, flying, and amphibious capabilities of the developed unmanned system. Results of the tests have proven that a well-conceived design and development has been successfully completed.","url":"https://doi.org/10.1139/juvs-2020-0036","authors":["Dinesh Manoharan","C. Gajendran","M.K. Padmanabhan","S. Vignesh","S. Rajesh","G.D. Bhuvaneshwaran"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2021-07-29T21:37:42Z","doi":"10.1139/juvs-2020-0036","addedAt":"2026-08-31T06:39:57.704Z","updatedAt":"2026-08-31T06:39:57.704Z"},{"id":"doi:10.1109/red-uas.2015.7440998","name":"Software- and hardware-in-the-loop verification of flight dynamics model and flight control simulation of a fixed-wing unmanned aerial vehicle","source":"crossref","abstract":"","url":"https://doi.org/10.1109/red-uas.2015.7440998","authors":["Calvin Coopmans","Michal Podhradsky","Nathan V. Hoffer"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2016-04-20T01:27:16Z","doi":"10.1109/red-uas.2015.7440998","addedAt":"2026-08-31T06:39:57.704Z","updatedAt":"2026-08-31T06:39:57.704Z"},{"id":"doi:10.1139/juvs-2014-0024","name":"Modeling and flight testing of wing shaping for roll control of an unmanned aerial vehicle","source":"crossref","abstract":"In this paper, an approach is described to implement autonomous (waypoint tracking) flight in a testbed airframe, which uses wing twist for roll control. These flights were performed using an existing commercial autopilot. Aileron effectiveness was identified as a parameter that could be modified to maintain roll control during autonomous flight. A modeling process was then developed to calculate the aileron effectiveness for a wing shaping demonstrator aircraft utilizing numerically determined aerodynamic properties. Simulations and flight tests with the testbed aircraft were performed that demonstrated suitability of the approach for autonomous flight. In-flight aileron doublets were used to validate the aileron effectiveness predicted by the numerical model, which matched within 7%.","url":"https://doi.org/10.1139/juvs-2014-0024","authors":["Michael A. Thamann","Suzanne Weaver Smith","Sean C.C. Bailey","E. Brady Doepke","Scott W. Ashcraft"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2015-09-02T21:34:55Z","doi":"10.1139/juvs-2014-0024","addedAt":"2026-08-31T06:39:57.704Z","updatedAt":"2026-08-31T06:39:57.704Z"},{"id":"doi:10.1016/s1464-2859(09)70387-6","name":"Jadoo fuel cell powers Mako unmanned aerial vehicle","source":"crossref","abstract":"","url":"https://doi.org/10.1016/s1464-2859(09)70387-6","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2009-12-25T09:13:17Z","doi":"10.1016/s1464-2859(09)70387-6","addedAt":"2026-08-31T06:39:57.704Z","updatedAt":"2026-08-31T06:39:57.704Z"},{"id":"doi:10.1109/icuas48674.2020.9213961","name":"Design and Testing of Recycled 3D Printed Foldable Unmanned Aerial Vehicle for Remote Sensing","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icuas48674.2020.9213961","authors":["Jason Niemand","Sajith J Mathew","Felipe Gonzalez"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2020-10-06T19:58:28Z","doi":"10.1109/icuas48674.2020.9213961","addedAt":"2026-08-31T06:39:57.704Z","updatedAt":"2026-08-31T06:39:57.704Z"},{"id":"doi:10.1109/icus66297.2025.11295484","name":"Unmanned Aerial Vehicle Path Tracking Control Based on Improved Active Disturbance Rejection Control","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icus66297.2025.11295484","authors":["Jiayu Chen","Binglong Wang","Ziyi Wang","Pengyun Chen"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-12-23T18:28:29Z","doi":"10.1109/icus66297.2025.11295484","addedAt":"2026-08-31T06:39:57.704Z","updatedAt":"2026-08-31T06:39:59.254Z"},{"id":"doi:10.1109/icuas.2017.7991393","name":"Detecting nests of lapwing birds with the aid of a small unmanned aerial vehicle with thermal camera","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icuas.2017.7991393","authors":["Martin Israel","Aline Reinhard"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2017-08-09T16:07:44Z","doi":"10.1109/icuas.2017.7991393","addedAt":"2026-08-31T06:39:57.704Z","updatedAt":"2026-08-31T06:39:57.704Z"},{"id":"doi:10.1109/icuas.2018.8453477","name":"Super-twisting control in a Solar Unmanned Aerial Vehicle: Application to Solar Tracking","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icuas.2018.8453477","authors":["Jorge L. Hernandez","Ivan Gonzalez-Hernandez","Rogelio Lozano"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2018-09-07T16:31:16Z","doi":"10.1109/icuas.2018.8453477","addedAt":"2026-08-31T06:39:57.704Z","updatedAt":"2026-08-31T06:39:57.704Z"},{"id":"doi:10.1109/icus55513.2022.9986552","name":"The Evaluation of Information Contribution for Unmanned Aerial Vehicle Integrating into the Air Combat System","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icus55513.2022.9986552","authors":["Huiyuan Chang","Ran Zhang","Yan Zhang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2022-12-29T13:46:01Z","doi":"10.1109/icus55513.2022.9986552","addedAt":"2026-08-31T06:39:57.704Z","updatedAt":"2026-08-31T06:39:57.704Z"},{"id":"doi:10.4273/ijvss.11.2.05","name":"Inflight Aerodynamic Parameter Estimation for Fixed Wing Unmanned Aerial Vehicle","source":"crossref","abstract":"This paper presents the frame work for aerodynamic parameter estimation for small fixed wing unmanned aerial vehicle (UAV). The recent development in autopilot hardware for small UAV enables the in-flight data collection of flight characteristics. A methodology is outlined to collect, process and arrive at a conclusion from the in-flight data using commercial flight controller of under 2kg (micro) fixed wing aircraft, ‘VAF01’ for which a Fault Detection and Identification (FDI) system is under development. As a part of the FDI, the linear longitudinal (3 DOF) aerodynamic model is developed and in-flight experimental data is used to estimate the longitudinal aerodynamic parameters. The Flight Path Reconstruction is completed with the acquired parameters from in-flight experiments and results are discussed for further utilization of them.","url":"https://doi.org/10.4273/ijvss.11.2.05","authors":["R. Jaganraj","R. Velu"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2019-09-02T07:40:09Z","doi":"10.4273/ijvss.11.2.05","addedAt":"2026-08-31T06:39:57.704Z","updatedAt":"2026-08-31T06:39:57.704Z"},{"id":"doi:10.1007/979-8-8688-1047-3_2","name":"Machine Learning Applications in Unmanned Aerial Vehicle Swarms","source":"crossref","abstract":"","url":"https://doi.org/10.1007/979-8-8688-1047-3_2","authors":["Sher Taj","Xuefei Ma","Yonghao Liu","Rahim Khan","Xianhua Cheng","Hina Hassan","M. A. Al-Khasawneh","Inam Ullah"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-02-28T01:29:39Z","doi":"10.1007/979-8-8688-1047-3_2","addedAt":"2026-08-31T06:39:57.704Z","updatedAt":"2026-08-31T06:39:59.254Z"},{"id":"doi:10.22314/2073-7599-2023-17-1-35-40","name":"Algorithm for Calculating the Flight Time of an Unmanned Aerial Vehicle for Aerial Photography","source":"crossref","abstract":"The paper shows the possibility of using unmanned aerial vehicles with additional outboard equipment for aerial photography. It is noted that some parameters of the drone and additional suspension equipment are not taken into account by the software when calculating the drone flight time for one battery charge. ( Research purpose ) To develop an algorithm for calculating the flight time of an unmanned aerial vehicle with installed outboard equipment. ( Materials and methods ) The technical characteristics of DJI Phantom 4 pro and DJI Matrice 200v2 were studied, as well as the specifications of Parrot Sequoia, MicaSense Altum multispectral cameras mounted on the drone. The existing research results are used to calculate the flight mission time depending on the route length and the battery capacity. ( Results and discussion ) It is found that the maximum flight time of a drone with additional outboard equipment is reduced due to the additional equipment mass, increased power consumption, the preflight preparation time, the need to return to the take-off point and the necessity to preserve the battery life and save the flight load. The maximum flight time calculated for DJI Phantom 4 pro and DJI Matrice 200v2 with multispectral cameras Parrot Sequoia, MicaSense Altum is 8 minutes and 18 minutes, respectively, with a minimum flight load. A method for calculating the number of batteries for aerial photography with additional outboard equipment is determined. ( Conclusions ) An algorithm for calculating the flight time of an unmanned aerial vehicle with additional outboard equipment is developed, the parameters ignored by the standard software in the flight time calculation are taken into account.","url":"https://doi.org/10.22314/2073-7599-2023-17-1-35-40","authors":["R. K. Kurbanov"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-04-02T17:29:17Z","doi":"10.22314/2073-7599-2023-17-1-35-40","addedAt":"2026-08-31T06:39:57.704Z","updatedAt":"2026-08-31T06:39:57.704Z"},{"id":"doi:10.1109/icuas.2016.7502611","name":"Guidance law design for tracking mobile ground targets using an unmanned aerial vehicle with a fixed camera","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icuas.2016.7502611","authors":["Liang Sun","Daniel Pack"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2016-07-04T21:09:13Z","doi":"10.1109/icuas.2016.7502611","addedAt":"2026-08-31T06:39:57.704Z","updatedAt":"2026-08-31T06:39:57.704Z"},{"id":"doi:10.1007/978-981-95-7840-5_6","name":"Attitude Control of Tiltrotor Unmanned Aerial Vehicle Helicopter Mode Based on ESO-AISMC","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-981-95-7840-5_6","authors":["Xi Wen","Jie Yang","Meiping Wu","Junda Chen"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-08-04T21:35:57Z","doi":"10.1007/978-981-95-7840-5_6","addedAt":"2026-08-31T06:39:57.704Z","updatedAt":"2026-08-31T06:40:02.531Z"},{"id":"doi:10.1139/juvs-2016-0029","name":"An assessment of thermal-image acquisition with an unmanned aerial vehicle (UAV) for direct counts of coastal marine mammals ashore","source":"crossref","abstract":"We investigated the efficacy of infrared thermal imaging devices for detecting coastal marine mammals in forested coastal environments. Our objective was to determine whether pinnipeds could be detected through the forest canopy using thermal imagery. We used a UAV-mounted and a ground-mounted infrared camera to survey New Zealand fur seals (Arctocephalus forsteri) located in Ohau Stream and Point Kean coastal shrub forest on the east coast of New Zealand. These methods were compared to paired photographs and walk-through counts. Ground-mounted thermal images detected more seals than paired photographs during the cooler times of the day (morning and evening). In contrast, aerial thermal videos were successful in detecting fur seals in open areas, but were less successful in areas of high canopy cover (&gt;80%). We discuss the advantages and limitations of thermal imaging for population sampling and provide some recommendations for future research.","url":"https://doi.org/10.1139/juvs-2016-0029","authors":["Oliver Jordan Gooday","Nicholas Key","Sharyn Goldstien","Peyman Zawar-Reza"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2018-01-23T22:33:10Z","doi":"10.1139/juvs-2016-0029","addedAt":"2026-08-31T06:39:57.704Z","updatedAt":"2026-08-31T06:39:57.704Z"},{"id":"doi:10.1109/icus48101.2019.8995961","name":"FMECA of Unmanned Aerial Vehicle Power System Based on the Intuitionistic Fuzzy Set","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icus48101.2019.8995961","authors":["Meijuan Wang","Xinyang Deng","Jie Geng","Wen Jiang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2020-02-14T05:13:18Z","doi":"10.1109/icus48101.2019.8995961","addedAt":"2026-08-31T06:39:57.704Z","updatedAt":"2026-08-31T06:39:57.704Z"},{"id":"doi:10.1109/ieeeconf49454.2021.9382687","name":"Design, Integration and Sea Trials of 3D Printed Unmanned Aerial Vehicle and Unmanned Surface Vehicle for Cooperative Missions","source":"crossref","abstract":"","url":"https://doi.org/10.1109/ieeeconf49454.2021.9382687","authors":["Hanlin Niu","Ze Ji","Pietro Liguori","Hujun Yin","Joaquin Carrasco"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2021-03-24T20:14:35Z","doi":"10.1109/ieeeconf49454.2021.9382687","addedAt":"2026-08-31T06:39:57.704Z","updatedAt":"2026-08-31T06:39:57.704Z"},{"id":"doi:10.1109/icuas.2016.7502588","name":"Real-time unmanned aerial vehicle 3D environment exploration in a mixed reality environment","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icuas.2016.7502588","authors":["Zhuming Ai","Mark A. Livingston","Ira S. Moskowitz"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2016-07-04T21:09:13Z","doi":"10.1109/icuas.2016.7502588","addedAt":"2026-08-31T06:39:57.704Z","updatedAt":"2026-08-31T06:39:57.704Z"},{"id":"doi:10.1109/red-uas.2015.7440989","name":"Autonomous exploration of indoor environments with a micro-aerial vehicle","source":"crossref","abstract":"","url":"https://doi.org/10.1109/red-uas.2015.7440989","authors":["Guillaume Pepe","Massimo Satler","Paolo Tripicchio"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2016-04-20T01:27:16Z","doi":"10.1109/red-uas.2015.7440989","addedAt":"2026-08-31T06:39:57.704Z","updatedAt":"2026-08-31T06:39:57.704Z"},{"id":"doi:10.1109/icuas.2018.8453363","name":"Three-dimensional Collision Avoidance Design on Unmanned Aerial Vehicle","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icuas.2018.8453363","authors":["Chee Yong Tan","Sunan Huang","Kok Kiong Tan","Rodney Swee Huat Teo"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2018-09-07T16:31:16Z","doi":"10.1109/icuas.2018.8453363","addedAt":"2026-08-31T06:39:57.704Z","updatedAt":"2026-08-31T06:39:57.704Z"},{"id":"doi:10.1109/tii.2026.3683527/mm1","name":"A Diversity-Preserving Multistrategy Differential Evolution Algorithm for 3-D Uncrewed Aerial Vehicle Offline and Online Path Planning_supp1-3683527.pdf","source":"crossref","abstract":"","url":"https://doi.org/10.1109/tii.2026.3683527/mm1","authors":["Zhenyu Meng"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-05-04T19:39:16Z","doi":"10.1109/tii.2026.3683527/mm1","addedAt":"2026-08-31T06:39:57.704Z","updatedAt":"2026-08-31T06:39:57.704Z"},{"id":"doi:10.1117/1.jrs.11.025015","name":"Maximizing feature detection in aerial unmanned aerial vehicle datasets","source":"crossref","abstract":"","url":"https://doi.org/10.1117/1.jrs.11.025015","authors":["Jonathan Byrne","Debra F. Laefer","Evan O’Keeffe"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2017-06-27T16:30:51Z","doi":"10.1117/1.jrs.11.025015","addedAt":"2026-08-31T06:39:57.704Z","updatedAt":"2026-08-31T06:39:57.704Z"},{"id":"doi:10.23919/chicc.2018.8482738","name":"On Controlling Autonomous Unmanned Aerial Vehicle Formation with Coarse Information","source":"crossref","abstract":"","url":"https://doi.org/10.23919/chicc.2018.8482738","authors":["Yunji Huang","Hui Liu"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2018-10-09T19:46:51Z","doi":"10.23919/chicc.2018.8482738","addedAt":"2026-08-31T06:39:57.704Z","updatedAt":"2026-08-31T06:39:57.704Z"},{"id":"doi:10.21535/gmm32139","name":"Development of Simulink-based Object Detection Program for A Camera for Micro-Aerial Vehicle","source":"crossref","abstract":"","url":"https://doi.org/10.21535/gmm32139","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-09-26T08:29:33Z","doi":"10.21535/gmm32139","addedAt":"2026-08-31T06:39:57.704Z","updatedAt":"2026-08-31T06:39:57.704Z"},{"id":"doi:10.1360/n092017-00001","name":"Autonomous and intelligent control of the unmanned aerial vehicle","source":"crossref","abstract":"","url":"https://doi.org/10.1360/n092017-00001","authors":["YanMing FAN"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2017-03-13T21:24:15Z","doi":"10.1360/n092017-00001","addedAt":"2026-08-31T06:39:57.704Z","updatedAt":"2026-08-31T06:39:57.704Z"},{"id":"doi:10.2139/ssrn.5432937","name":"The Switching Event-Triggered Fault Detection for Unmanned Aerial Vehicle in Network Environments","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.5432937","authors":["Shanshan Li","Wendong Gai","Jing Zhang","Guilin Zhang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-09-02T14:41:07Z","doi":"10.2139/ssrn.5432937","addedAt":"2026-08-31T06:39:57.704Z","updatedAt":"2026-08-31T06:39:59.254Z"},{"id":"doi:10.54254/2755-2721/10/20230136","name":"The formation of unmanned aerial vehicle swarm","source":"crossref","abstract":"The Unmanned Aerial Vehicles (UAVs) have played a much more important role in daily life, ranging from entertainment and military use, in which case UAV swarm is adopted as means to lower the operation cost, as well as to compensate for the insufficient performance of a single drone. However, sharp distinctions between individual drones and UAV swarm exist not only in the field of controlling, but in the area of aerodynamics as well. To conclude, the operator, instead of a team of engineers, needs to perform severe tasks with the help of several drones which act as a swarm rather than interfere with each other. Meanwhile, in order to improve the efficiency of UAV swarm, different formations are looked into from different fields, mainly aerodynamics and control engineering. This review will mainly focus on the aerodynamics performance of formations of swarming UAVs, both in close formation flight and extended formation flight. Comparisons will also be made to show the merits and demerits of these formations, providing convenience for path planning of different tasks.","url":"https://doi.org/10.54254/2755-2721/10/20230136","authors":["Ziyi Lu"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-09-22T05:57:12Z","doi":"10.54254/2755-2721/10/20230136","addedAt":"2026-08-31T06:39:57.704Z","updatedAt":"2026-08-31T06:39:57.704Z"},{"id":"doi:10.5772/intechopen.100067","name":"Tracking Control of Unmanned Aerial Vehicle for Power Line Inspection","source":"crossref","abstract":"This work presents some results about power transmission line tracking control and a full autonomous inspection using a quadrotor helicopter. The presented in this paper power line autonomous inspection allows detecting power line defects caused by thunderstorms, corrosion, insulator malfunctions, and same time monitoring of vegetation under the power line corridor. Traditional inspection is performed by helicopters equipped with high-resolution cameras or by direct visual examination carried out by highly skilled staff climbing over de-energized power lines. However, the visual inspection is time-expensive and costly. Moreover, due to regulatory constraints, the helicopters cannot cover narrow mountainous areas. Unmanned aerial vehicles (UAV) are an attractive alternative for power line inspection. In this work, a mathematical model for the quadrotor helicopter used in the autonomous inspection is presented. The model is successfully evaluated through simulations and flight experiments. Next, the construction of a quadrotor helicopter system and its application to power line autonomous inspection is introduced. Simulation and experimental results demonstrate the efficiency and applicability of that system. The results of this research are in the process of implementation for regular inspection of electrical transmission lines.","url":"https://doi.org/10.5772/intechopen.100067","authors":["Kenta Takaya","Hiroshi Ohta","Keishi Shibayama","Valeri Kroumov"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2021-09-28T08:43:23Z","doi":"10.5772/intechopen.100067","addedAt":"2026-08-31T06:39:57.704Z","updatedAt":"2026-08-31T06:39:57.704Z"},{"id":"doi:10.21236/ada300174","name":"Moving Map Support for the BQM-147A EXDRONE Unmanned Aerial Vehicle.","source":"crossref","abstract":"","url":"https://doi.org/10.21236/ada300174","authors":["James A. Hammack","Robert E. Mullen"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2017-08-30T20:39:20Z","doi":"10.21236/ada300174","addedAt":"2026-08-31T06:39:57.704Z","updatedAt":"2026-08-31T06:39:57.704Z"},{"id":"doi:10.21236/ada494062","name":"Unique Stealth Unmanned Aerial Vehicle (UAV) Houck Aircraft Design Program. Volume 2: Prototype Report","source":"crossref","abstract":"","url":"https://doi.org/10.21236/ada494062","authors":["Timothy Fry"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2017-07-27T19:17:50Z","doi":"10.21236/ada494062","addedAt":"2026-08-31T06:39:57.704Z","updatedAt":"2026-08-31T06:39:57.704Z"},{"id":"doi:10.1139/juvs-2017-0022","name":"Pixel- and object-based multispectral classification of forest tree species from small unmanned aerial vehicles","source":"crossref","abstract":"Forest inventory, monitoring, and assessment requires accurate tree species identification and mapping. Recent experiences with multispectral data from small fixed-wing and rotary blade unmanned aerial vehicles (UAVs) suggest a role for this technology in the emerging paradigm of enhanced forest inventory (EFI). In this paper, pixel-based and object-based image analysis (OBIA) methods were compared in UAV-based tree species classification of nine commercial tree species in mature eastern Ontario mixedwood forests. Unsupervised clustering and supervised classification of tree crown pixels yielded approximately 50%–60% classification accuracy overall; OBIA with image segmentation to delineate tree crowns and machine learning yielded up to 80% classification accuracy overall. Spectral response patterns and tree crown shape and geometric differences were interpreted in context of their ability to separate tree species of interest with these classification methods. Accuracy assessment was based on field-based forest inventory tree species identification. The paper provides a brief summary of future research issues that will influence the growth of this geomatics innovation in forest tree species classification and forest inventory.","url":"https://doi.org/10.1139/juvs-2017-0022","authors":["Steven E. Franklin"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2018-07-30T11:42:36Z","doi":"10.1139/juvs-2017-0022","addedAt":"2026-08-31T06:39:57.704Z","updatedAt":"2026-08-31T06:39:57.704Z"},{"id":"doi:10.30748/soi.2017.149.01","name":"Ways for greater efficiency aerial reconnaissance system with using on-board complex of unmanned aerial vehicle","source":"crossref","abstract":"","url":"https://doi.org/10.30748/soi.2017.149.01","authors":["А.М. Алімпієв"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2018-03-13T05:18:35Z","doi":"10.30748/soi.2017.149.01","addedAt":"2026-08-31T06:39:57.704Z","updatedAt":"2026-08-31T06:39:57.704Z"},{"id":"doi:10.2139/ssrn.5870468","name":"Three-dimensional Semantic Segmentation of Unmanned Aerial Vehicle-Derived Point Clouds for Automated Earthwork Monitoring","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.5870468","authors":["Gitaek Lee","Haksun Kim","Seokho Chi"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-12-05T18:43:23Z","doi":"10.2139/ssrn.5870468","addedAt":"2026-08-31T06:39:57.704Z","updatedAt":"2026-08-31T06:39:59.254Z"},{"id":"doi:10.18372/1990-5548.36.5854","name":"Analysis of unmanned aerial vehicle control system","source":"crossref","abstract":"","url":"https://doi.org/10.18372/1990-5548.36.5854","authors":["O. K. Ablesimov","K. V. Sarapina"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2017-03-21T12:27:15Z","doi":"10.18372/1990-5548.36.5854","addedAt":"2026-08-31T06:39:57.704Z","updatedAt":"2026-08-31T06:39:57.704Z"},{"id":"doi:10.23919/chicc.2017.8029181","name":"Modeling of a rotor/fixed-wing hybrid unmanned aerial vehicle","source":"crossref","abstract":"","url":"https://doi.org/10.23919/chicc.2017.8029181","authors":["Chao Liang","Chenxiao Cai"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2017-09-29T15:54:00Z","doi":"10.23919/chicc.2017.8029181","addedAt":"2026-08-31T06:39:57.704Z","updatedAt":"2026-08-31T06:39:57.704Z"},{"id":"doi:10.1049/pbte101e_ch7","name":"Unmanned aerial vehicle relay networks","source":"crossref","abstract":"","url":"https://doi.org/10.1049/pbte101e_ch7","authors":["Evşen Yanmaz"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2022-06-22T04:12:53Z","doi":"10.1049/pbte101e_ch7","addedAt":"2026-08-31T06:39:57.704Z","updatedAt":"2026-08-31T06:39:57.704Z"},{"id":"doi:10.1201/9781003432685-2","name":"Crafting an Unmanned Aerial Vehicle (UAV)","source":"crossref","abstract":"","url":"https://doi.org/10.1201/9781003432685-2","authors":["Narayan Panigrahi","Smita Tripathy"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-08-27T09:32:17Z","doi":"10.1201/9781003432685-2","addedAt":"2026-08-31T06:39:57.704Z","updatedAt":"2026-08-31T06:39:59.254Z"},{"id":"doi:10.25236/fsst.2023.050403","name":"The Literature Review of Unmanned Aerial Vehicle (UAV) Industry","source":"crossref","abstract":"","url":"https://doi.org/10.25236/fsst.2023.050403","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-05-13T10:36:37Z","doi":"10.25236/fsst.2023.050403","addedAt":"2026-08-31T06:39:57.704Z","updatedAt":"2026-08-31T06:39:58.777Z"},{"id":"doi:10.2514/6.2026-4223","name":"SoK: Security and Privacy in Unmanned Aerial Vehicle Swarm Networks","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2026-4223","authors":["Hugh Coleman","Drew Hamilton"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-06-04T17:45:42Z","doi":"10.2514/6.2026-4223","addedAt":"2026-08-31T06:39:57.704Z","updatedAt":"2026-08-31T06:39:58.972Z"},{"id":"doi:10.36334/modsim.2019.h7.filkov","name":"Quantifying dynamic fire behaviour phenomena using Unmanned Aerial Vehicle technology","source":"crossref","abstract":"","url":"https://doi.org/10.36334/modsim.2019.h7.filkov","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2019-12-20T01:00:42Z","doi":"10.36334/modsim.2019.h7.filkov","addedAt":"2026-08-31T06:39:57.704Z","updatedAt":"2026-08-31T06:39:57.704Z"},{"id":"doi:10.1109/ichit.2006.253618","name":"Reconfigurable Path Planning for an Autonomous Unmanned Aerial Vehicle","source":"crossref","abstract":"","url":"https://doi.org/10.1109/ichit.2006.253618","authors":["Mariusz Wzorek","Patrick Doherty"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2006-12-14T12:08:41Z","doi":"10.1109/ichit.2006.253618","addedAt":"2026-08-31T06:39:57.704Z","updatedAt":"2026-08-31T06:39:57.704Z"},{"id":"doi:10.1115/ht2021-62626","name":"Lightweight PEM Fuel Cell Stack for Unmanned Aerial Vehicle","source":"crossref","abstract":"Abstract Fuel cell is an electrochemical device that converts fuel into electricity. Polymer electrolyte membrane fuel cells (PEMFCs) have been used for ground transportation due to its high efficiency and zero carbon emission. When it comes to unmanned aerial vehicles (UAVs), PEMFCs can support much longer flight endurance than internal combustion engines and batteries do. However, a lightweight PEMFC stack is required in order to carry enough payload for UAVs. In this research, a lightweight fuel cell stack was developed and fabricated based on the Horizon fuel cell stack. The stack components, including end plates, bipolar plates, and interconnects were redesigned and fabricated to replace those heavy components. Additive manufacturing (3D printing) and electroplating were used to fabricate bipolar plates and interconnects, whereas the end plates were machined from Garolite XX plates. The fabricated lightweight PEMFC stacks were tested using a Scribner 850e Fuel Cell Test System. The lightweight stack assembled with six electroplated bipolar plates showed that the maximum power density estimated was 3.514 W/cm2 with 4.5 V and 1.6 A/cm2 conditions for 100 ml/min of H2. The same fuel cell stack tested at 200 ml/min and 300 ml/min showed higher maximum power densities than 100 ml/min. The presentation includes design and fabrication, performance characterization, weight reduction strategy, and future work.","url":"https://doi.org/10.1115/ht2021-62626","authors":["Jinmyun Jo","Xiaoyu Zhang","Ali Ansari"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2021-07-28T17:12:21Z","doi":"10.1115/ht2021-62626","addedAt":"2026-08-31T06:39:57.704Z","updatedAt":"2026-08-31T06:39:57.704Z"},{"id":"doi:10.1109/siu.2015.7130069","name":"Application of pesticide using unmanned aerial vehicle","source":"crossref","abstract":"","url":"https://doi.org/10.1109/siu.2015.7130069","authors":["Fahrettin Ay","Gokhan Ince"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2015-06-24T11:49:31Z","doi":"10.1109/siu.2015.7130069","addedAt":"2026-08-31T06:39:57.704Z","updatedAt":"2026-08-31T06:39:57.704Z"},{"id":"doi:10.2514/6.2005-7051","name":"Unmanned Aerial Vehicle Conceptual Design Using a Genetic Algorithm and Data Mining","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2005-7051","authors":["Daniel Neufeld","Joon Chung"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2012-12-18T23:26:59Z","doi":"10.2514/6.2005-7051","addedAt":"2026-08-31T06:39:57.704Z","updatedAt":"2026-08-31T06:39:57.704Z"},{"id":"doi:10.1109/glocomw.2018.8644365","name":"Unmanned Aerial Vehicle Assisted Cellular Communication","source":"crossref","abstract":"","url":"https://doi.org/10.1109/glocomw.2018.8644365","authors":["Sha Hu","Jose Flordelis","Fredrik Rusek","Ove Edfors"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2019-03-18T20:29:07Z","doi":"10.1109/glocomw.2018.8644365","addedAt":"2026-08-31T06:39:57.704Z","updatedAt":"2026-08-31T06:39:57.704Z"},{"id":"doi:10.1117/1.1765665","name":"Automatic target tracking for unmanned aerial vehicle video annotation","source":"crossref","abstract":"","url":"https://doi.org/10.1117/1.1765665","authors":["Mohammad A. Karim"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2004-08-06T22:03:26Z","doi":"10.1117/1.1765665","addedAt":"2026-08-31T06:39:57.704Z","updatedAt":"2026-08-31T06:39:57.704Z"},{"id":"doi:10.2514/6.2025-1232","name":"Multi-Mode Control enabling optimized Unmanned Aerial Vehicle Firefighting Performance","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2025-1232","authors":["Tobias Augustin","Daniel Ossmann"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-02-12T04:44:16Z","doi":"10.2514/6.2025-1232","addedAt":"2026-08-31T06:39:57.704Z","updatedAt":"2026-08-31T06:39:59.254Z"},{"id":"doi:10.17485/ijst/2016/v9i27/97701","name":"Classifying Traffic Accidents with Unmanned Aerial Vehicle","source":"crossref","abstract":"","url":"https://doi.org/10.17485/ijst/2016/v9i27/97701","authors":["Kim Nikolai Vladimirovich"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2016-08-01T07:38:28Z","doi":"10.17485/ijst/2016/v9i27/97701","addedAt":"2026-08-31T06:39:57.704Z","updatedAt":"2026-08-31T06:39:57.704Z"},{"id":"doi:10.4028/www.scientific.net/ssp.198.182","name":"Base Station for Monitoring of Unmanned Aerial Vehicle Flight","source":"crossref","abstract":"A configuration of universal base station designed to use mobile networks for long-range transmission of telemetry data is described in the paper. Types of cellular networks and modes of their operation are presented. Next, GPRS system is shown as a possible method of data transmission between UAV and Base Station. Communication modes of the station can be augmented by additional close-range communication system based on Xbee modules. The configuration and integration of test stand for telemetric signals monitoring are shown. Finally, the modes of possible operations based on the conditions of mobile networks are described.","url":"https://doi.org/10.4028/www.scientific.net/ssp.198.182","authors":["Maciej Słowik","Zdzisław Gosiewski"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2013-03-11T16:29:37Z","doi":"10.4028/www.scientific.net/ssp.198.182","addedAt":"2026-08-31T06:39:57.704Z","updatedAt":"2026-08-31T06:39:57.704Z"},{"id":"doi:10.3390/drones4020027","name":"Vegetation Extraction Using Visible-Bands from Openly Licensed Unmanned Aerial Vehicle Imagery","source":"crossref","abstract":"Red–green–blue (RGB) cameras which are attached in commercial unmanned aerial vehicles (UAVs) can support remote-observation small-scale campaigns, by mapping, within a few centimeter’s accuracy, an area of interest. Vegetated areas need to be identified either for masking purposes (e.g., to exclude vegetated areas for the production of a digital elevation model (DEM) or for monitoring vegetation anomalies, especially for precision agriculture applications. However, while detection of vegetated areas is of great importance for several UAV remote sensing applications, this type of processing can be quite challenging. Usually, healthy vegetation can be extracted at the near-infrared part of the spectrum (approximately between 760–900 nm), which is not captured by the visible (RGB) cameras. In this study, we explore several visible (RGB) vegetation indices in different environments using various UAV sensors and cameras to validate their performance. For this purposes, openly licensed unmanned aerial vehicle (UAV) imagery has been downloaded “as is” and analyzed. The overall results are presented in the study. As it was found, the green leaf index (GLI) was able to provide the optimum results for all case studies.","url":"https://doi.org/10.3390/drones4020027","authors":["Athos Agapiou"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2020-06-29T03:40:07Z","doi":"10.3390/drones4020027","addedAt":"2026-08-31T06:39:57.704Z","updatedAt":"2026-08-31T06:39:57.704Z"},{"id":"doi:10.14323/ijuseng.2014.11","name":"Design-Drivers of Hybrid Mission Scenarios: Effects on Unmanned Aerial Vehicle Design and Mission Management","source":"crossref","abstract":"","url":"https://doi.org/10.14323/ijuseng.2014.11","authors":["Sebastian Herbst","Andreas Klöckner"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2014-09-11T14:28:42Z","doi":"10.14323/ijuseng.2014.11","addedAt":"2026-08-31T06:39:57.704Z","updatedAt":"2026-08-31T06:39:57.704Z"},{"id":"doi:10.34759/trd-2021-116-13","name":"Marker images detection algorithm for the unmanned aerial vehicle vertical landing","source":"crossref","abstract":"","url":"https://doi.org/10.34759/trd-2021-116-13","authors":["Mikhail Trusfus","Ilfir Abdullin"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2021-12-16T09:34:26Z","doi":"10.34759/trd-2021-116-13","addedAt":"2026-08-31T06:39:57.704Z","updatedAt":"2026-08-31T06:39:57.704Z"},{"id":"doi:10.22214/ijraset.2021.34557","name":"Unmanned Aerial Vehicle","source":"crossref","abstract":"","url":"https://doi.org/10.22214/ijraset.2021.34557","authors":["Sakha Gabhane"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2021-05-27T12:41:21Z","doi":"10.22214/ijraset.2021.34557","addedAt":"2026-08-31T06:39:57.704Z","updatedAt":"2026-08-31T06:39:57.704Z"},{"id":"doi:10.1063/1.4765468","name":"Decentralized target geolocation for unmanned aerial vehicle with sensor bias estimation","source":"crossref","abstract":"","url":"https://doi.org/10.1063/1.4765468","authors":["Kwangyul Baek","Hyochoong Bang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2012-11-06T23:19:07Z","doi":"10.1063/1.4765468","addedAt":"2026-08-31T06:39:57.704Z","updatedAt":"2026-08-31T06:39:57.704Z"},{"id":"doi:10.56726/irjmets88528","name":"UNMANNED AERIAL VEHICLE FOR WILDLIFE CONSERVATION AND  MULTIDISCIPLINARY RESEARCHES","source":"crossref","abstract":"","url":"https://doi.org/10.56726/irjmets88528","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-01-10T17:17:50Z","doi":"10.56726/irjmets88528","addedAt":"2026-08-31T06:39:57.704Z","updatedAt":"2026-08-31T06:39:58.972Z"},{"id":"doi:10.21778/2218-5453-2018-3-19-24","name":"UNMANNED AERIAL VEHICLE DETECTION AND JAMMING RADIO COMPLEX","source":"crossref","abstract":"Modern threats for anti-missile system and space surveillance and tracking system objects include terroristic and unidentifiable unmanned aerial vehicle. To counter these threats a concept of radar complex for unmanned aerial vehicles jamming and detection proposed. Complex consists of non-radiating radio locator, radio warfare station and global navigation jamming radar. Structure, principle of operation and basic technical characteristics of these systems described. Counter-drone actions algorithm in proposed complex described and analyzed. Results of mom-radiating radar development in JSC MAK Vimpel and its experimental investigation described. Precision of estimation range, velocity and angular location described. Jamming effectiveness estimator schematic diagram proposed. Jamming effectiveness may be estimated on navigation equipment or program models of prospective GPS receivers. Results of effective jamming signal development presented. Results may be used in small low-energy counter drone radioelectronic systems development for anti-missile and Space Surveillance and Tracking system objects.","url":"https://doi.org/10.21778/2218-5453-2018-3-19-24","authors":["A. V. Ksendzuk"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2019-05-07T15:07:29Z","doi":"10.21778/2218-5453-2018-3-19-24","addedAt":"2026-08-31T06:39:57.704Z","updatedAt":"2026-08-31T06:39:57.704Z"},{"id":"doi:10.1109/syscon.2011.5929077","name":"Robust observer-based fault diagnosis for an unmanned aerial vehicle","source":"crossref","abstract":"","url":"https://doi.org/10.1109/syscon.2011.5929077","authors":["M. M. Tousi","K. Khorasani"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2011-06-28T20:45:39Z","doi":"10.1109/syscon.2011.5929077","addedAt":"2026-08-31T06:39:57.704Z","updatedAt":"2026-08-31T06:39:57.704Z"},{"id":"doi:10.1139/juvs-2015-0007","name":"Assessment of alternative manual control methods for small unmanned aerial vehicles","source":"crossref","abstract":"This paper is a summary of experiments to assess alternative methods to control a small (&lt;25 kg; under Transport Canada rules, small UAV are classified as under 25 kg; Transport Canada. 2014. TP15263 – Knowledge requirements for pilots of unmanned air vehicle systems (UAV) 25 kg or less, operating within visual line of sight. Transport Canada. August. Available from http://www.tc.gc.ca/eng/civilaviation/publications/page-6557.html [accessed 17 August 2015]) unmanned aerial vehicle (UAV) in manual mode. While it is true that the majority of a typical UAV mission will be in automatic mode (i.e., using an autopilot) this may not always be the case during takeoffs and landings, or if there is a failure of the autopilot. The concept of a manual control backup mode during all flight phases remains in proposed UAV regulations currently being defined in Canada and the US. The research summarized in this paper is an attempt to assess the accuracy of several manual control options for a small UAV. The paper includes both a theoretical discussion of the task of manually controlling a small UAV airframe and results from a series of field experiments investigating the use of first-person view techniques.","url":"https://doi.org/10.1139/juvs-2015-0007","authors":["Jonathan D. Stevenson","Siu O'Young","Luc Rolland"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2015-08-05T18:03:48Z","doi":"10.1139/juvs-2015-0007","addedAt":"2026-08-31T06:39:57.704Z","updatedAt":"2026-08-31T06:39:57.704Z"},{"id":"doi:10.21236/ada424895","name":"Unmanned Aerial Vehicle Operational Test and Evaluation Lessons Learned","source":"crossref","abstract":"","url":"https://doi.org/10.21236/ada424895","authors":["Lee Carr","Kristen Lambrecht","Scott Shaw","Greg Whittier","Catherine Warner"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2017-08-14T15:02:01Z","doi":"10.21236/ada424895","addedAt":"2026-08-31T06:39:57.704Z","updatedAt":"2026-08-31T06:39:57.704Z"},{"id":"doi:10.5194/egusphere-egu2020-12095","name":"Subsurface targets detection using Faster R-CNN for Unmanned Aerial Vehicle Magnetic Survey","source":"crossref","abstract":"&amp;lt;p&amp;gt;Unmanned Aerial Vehicle (UAV) has become a viable platform for magnetic surveys, but the interference generated during flight and lack of the interpretation method for survey data limits its application. In this paper, we present a structure of a half-fixed boom for the UAV-magnetometer system. Compared to suspend the magnetometer on a long rope or cable, our new structure reduces interference and positional error meanwhile increases flight stability. The interference field was removed through compensation based on leveling, with root mean square error significantly reduced from 2.7889 nT to 0.2809 nT. The Faster R-CNN network was adapted for the detection of subsurface buried objects (i.e. Unexploded Ordnance) in UAV magnetic surveys, our Faster R-CNN object detection network is composed of a feature extraction network followed by two subnetworks, the feature extraction network we use is a pre-trained CNN called ResNet-50, the first subnetwork is a region proposal network (RPN) and the second subnetwork is trained to predict the actual class of each object proposal. A labeled dataset that contains 740 images was used for training and each image contains one or more labeled instances of mag anomaly, data augmentation is used by randomly flipping the image and associated box labels horizontally to improve network accuracy, the trained object detector was evaluated on both simulated and field test images. All implementations in this work were accomplished through MATLAB Deep Learning Toolbox using a PC with a GPU compute capability 7.5. Preliminary results reveal that the proposed technique can automatically confirm the number of subsurface targets, in the meantime results from different field tests show its robustness. Significant improvements have made compared to traditional computer vision methods and hence become quite promising to be applied in the field of UAV magnetic survey.&amp;lt;/p&amp;gt;","url":"https://doi.org/10.5194/egusphere-egu2020-12095","authors":["Yaoxin Zheng","Xiaojuan Zhang","Yaxin Mu","Wupeng Xie"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2020-03-09T22:43:21Z","doi":"10.5194/egusphere-egu2020-12095","addedAt":"2026-08-31T06:39:57.704Z","updatedAt":"2026-08-31T06:39:57.704Z"},{"id":"doi:10.1109/honet.2016.7753446","name":"Codeword-based data collection protocol for optical Unmanned Aerial Vehicle networks","source":"crossref","abstract":"","url":"https://doi.org/10.1109/honet.2016.7753446","authors":["Nihel Ramdhan","Maha Sliti","Noureddine Boudriga"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2016-11-24T16:37:51Z","doi":"10.1109/honet.2016.7753446","addedAt":"2026-08-31T06:39:57.704Z","updatedAt":"2026-08-31T06:39:57.704Z"},{"id":"doi:10.1109/globecom48099.2022.10001356","name":"Beyond Conic Section Mainlobe Coverage for Unmanned Aerial Vehicle","source":"crossref","abstract":"","url":"https://doi.org/10.1109/globecom48099.2022.10001356","authors":["Yi Geng","Sebastian Euler"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-01-11T22:24:18Z","doi":"10.1109/globecom48099.2022.10001356","addedAt":"2026-08-31T06:39:57.704Z","updatedAt":"2026-08-31T06:39:57.704Z"},{"id":"doi:10.2514/6.2002-3495","name":"Estimation of Drag Characteristics of a Fixed Wing Unmanned Aerial Vehicle","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2002-3495","authors":["Brandon Hiller"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2012-12-18T23:54:29Z","doi":"10.2514/6.2002-3495","addedAt":"2026-08-31T06:39:57.704Z","updatedAt":"2026-08-31T06:39:57.704Z"},{"id":"doi:10.2514/6.2005-7100","name":"Challenges in Developing Unmanned Aerial Vehicle Software Systems","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2005-7100","authors":["Ricky Sward","Clint Sparkman","Daniel Pack"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2012-12-18T23:26:59Z","doi":"10.2514/6.2005-7100","addedAt":"2026-08-31T06:39:57.704Z","updatedAt":"2026-08-31T06:39:57.704Z"},{"id":"doi:10.3997/2214-4609.201903275","name":"UPDATING OF CARTOGRAPHIC MATERIALS USING UNMANNED AERIAL VEHICLE","source":"crossref","abstract":"","url":"https://doi.org/10.3997/2214-4609.201903275","authors":["V. Zatserkovnyi","I. Pampukha","S. Kolachov","G. Zyrov","V. Lukanovskyi"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2020-06-14T11:01:10Z","doi":"10.3997/2214-4609.201903275","addedAt":"2026-08-31T06:39:57.704Z","updatedAt":"2026-08-31T06:39:57.704Z"},{"id":"doi:10.25236/i3ca.2017.17","name":"Application and Practice of Large Data in Plant Protection Unmanned Aerial Vehicle","source":"crossref","abstract":"","url":"https://doi.org/10.25236/i3ca.2017.17","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2017-08-19T11:28:24Z","doi":"10.25236/i3ca.2017.17","addedAt":"2026-08-31T06:39:57.704Z","updatedAt":"2026-08-31T06:39:57.704Z"},{"id":"doi:10.2139/ssrn.5561398","name":"Numerical investigation of the interaction between turbulence and a small-scale unmanned aerial vehicle propeller","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.5561398","authors":["Mingyu Shao","Jiang Hanbo","Shiyi Chen"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-10-03T19:36:49Z","doi":"10.2139/ssrn.5561398","addedAt":"2026-08-31T06:39:57.704Z","updatedAt":"2026-08-31T06:39:59.254Z"},{"id":"doi:10.1109/idc.2007.374541","name":"Predictive Guidance and Control for a Tail-Sitting Unmanned Aerial Vehicle","source":"crossref","abstract":"","url":"https://doi.org/10.1109/idc.2007.374541","authors":["Peter Anderson","Hugh Stone"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2007-06-28T15:44:31Z","doi":"10.1109/idc.2007.374541","addedAt":"2026-08-31T06:39:57.704Z","updatedAt":"2026-08-31T06:39:57.704Z"},{"id":"doi:10.5281/zenodo.21343130","name":"Unmanned aerial vehicle safety bubble simulation results","source":"datacite","abstract":"Title: An Adaptive Six-Layer Safety Bubble for Non-Cooperative UAV Self-Separation Abstract The integration of unmanned aerial vehicles (UAVs) into shared airspace requires on-board safety mechanisms for self-separation without cooperation between platforms or centralised air-traffic services. This paper proposes the UAV Safety Bubble (USB), a six-layer geometric model that defines an adaptive safety envelope around the UAV. Each layer corresponds to a distinct physical contribution: platform dimensions, positioning uncertainty, communication performance, wind disturbance, detection-processing latency, and avoidance manoeuvrability. The model was evaluated through 5,300 Monte Carlo simulation instances across five conflict scenarios, including static-obstacle avoidance, head-to-head encounters, and 90$^\\circ$, 30$^\\circ$, and 60$^\\circ$ approaches between two dynamic UAVs. Platform, sensing, communication, and environmental parameters were sampled from uniform distributions across operational ranges. No instance produced an intrusion into the fifth layer ($USB_{5}$), the model's operational separation boundary. The smallest clearance between the $USB_{5}$ outer edge and the obstacle's centre of mass was 35.36~m, recorded in the 90$^\\circ$ approach scenario, and the one-sided 95% upper bound on the per-instance intrusion probability was 0.060%. The adaptive envelope achieved this at per-scenario median route-length overheads of 15-46% relative to nominal straight-line routes. The USB complements downstream planners by providing an adaptive no-go region. The avoidance manoeuvres evaluated are restricted to the horizontal plane; full 3D avoidance is left for future work.","url":"https://doi.org/10.5281/zenodo.21343130","authors":["Jerinić, Dominik","Radišić, Tomislav","Krajček Nikolić, Karolina","Muštra, Mario"],"tags":["Unmanned Aerial Devices","Air traffic management","Air safety"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.21343130","addedAt":"2026-08-31T06:39:57.705Z","updatedAt":"2026-08-31T06:39:57.705Z"},{"id":"doi:10.17632/3cp9rr96nh.1","name":"QINLING v4 experiment (900 runs): 90 tasks × 5 language models × 2 hard-rule conditions","source":"datacite","abstract":"This dataset is anonymized audit evidence for the QINLING v4 mechanism study, comprising 900 create-and-run observations from 90 frozen Chinese tasks tested across 5 models and 2 conditions (3 local and 2 hosted models), used to compare the effect of hard-rule activation on high-risk disposition boundaries. The data are organized at task and group levels, including observed terminal states, Governance state, Workflow W, strict E2E outcomes, integrity flags, paired-effect statistics, and hosted-model call audit metadata (with credentials removed). It is intended for manuscript review and methodological transparency, and does not represent field deployment results or human subject conclusions.","url":"https://doi.org/10.17632/3cp9rr96nh.1","authors":["宋, 志华"],"tags":["Artificial Intelligence Applications","Unmanned Aerial Vehicle (Space Vehicle)"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.17632/3cp9rr96nh.1","addedAt":"2026-08-31T06:39:57.705Z","updatedAt":"2026-08-31T06:39:57.705Z"},{"id":"doi:10.17632/3cp9rr96nh","name":"QINLING v4 experiment (900 runs): 90 tasks × 5 language models × 2 hard-rule conditions","source":"datacite","abstract":"This dataset is anonymized audit evidence for the QINLING v4 mechanism study, comprising 900 create-and-run observations from 90 frozen Chinese tasks tested across 5 models and 2 conditions (3 local and 2 hosted models), used to compare the effect of hard-rule activation on high-risk disposition boundaries. The data are organized at task and group levels, including observed terminal states, Governance state, Workflow W, strict E2E outcomes, integrity flags, paired-effect statistics, and hosted-model call audit metadata (with credentials removed). It is intended for manuscript review and methodological transparency, and does not represent field deployment results or human subject conclusions.","url":"https://doi.org/10.17632/3cp9rr96nh","authors":["宋, 志华"],"tags":["Artificial Intelligence Applications","Unmanned Aerial Vehicle (Space Vehicle)"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.17632/3cp9rr96nh","addedAt":"2026-08-31T06:39:57.705Z","updatedAt":"2026-08-31T06:39:57.705Z"},{"id":"doi:10.17632/nw5pyw3frj.2","name":"A 30-m, Multi-decadal Mangrove Cover Fraction Dataset for China (1990-2023)","source":"datacite","abstract":"Methods This dataset was generated using a supervised machine learning framework on the Google Earth Engine platform. The primary input data consisted of time-series Landsat surface reflectance imagery (1990-2023), from which annual composites based on 32 spectral features were created for each target year. A Random Forest model was trained and validated using 1,711 high-quality reference Mangrove Cover Fraction (MCF) samples. These reference samples were generated via detailed photo-interpretation of very-high-resolution (VHR) and unmanned aerial vehicle (UAV) imagery, guided by a stratified random sampling design to ensure representativeness. The final China Mangrove Cover Fraction (CMCF) was produced by applying the cross-validated Random Forest model to the annual Landsat composites for each of the six target years (1990, 2000, 2010, 2015, 2020, and 2023) to map sub-pixel MCF at 30 m resolution. The spatial extent of the mapping was constrained by the CAS_Mangroves v2.0 dataset. README: Description of the data and file structure This dataset provides estimates of mangrove cover fraction (MCF) across China’s coastal regions for seven distinct years between 1990 and 2023. The data is provided at a spatial resolution of 30 meters. The dataset consists of 6 GeoTIFF (.tif) files. The file naming convention is CMCF_YYYY.tif, where YYYY represents the year of the observation. Access information Other publicly accessible locations of the data: CMCF_1990.tif: Mangrove cover fraction map for the year 1990. CMCF_2000.tif: Mangrove cover fraction map for the year 2000. CMCF_2010.tif: Mangrove cover fraction map for the year 2010. CMCF_2015.tif: Mangrove cover fraction map for the year 2015. CMCF_2020.tif: Mangrove cover fraction map for the year 2020. CMCF_2023.tif: Mangrove cover fraction map for the year 2023. Data was derived from the following sources: Format: GeoTIFF Spatial Resolution: 30 meters Coordinate Reference System (CRS): WGS 84 Pixel Values: The values in each pixel represent the percentage of mangrove cover. The values range from 0 to 100, where 0 indicates 0% mangrove cover and 100 indicates 100% mangrove cover. NoData Value: ‘Nodata’ If you use this dataset in your research, please cite the associated publication: Wang, X., Li, H., Jia, M., Zhang, R., Zhao, C., Lu, C., &amp; Wang, Z. (2026). Significant increase in China’s mangrove cover fraction during 1990 to 2023. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 19, 3625–3636. https://doi.org/10.1109/JSTARS.2025.3648510","url":"https://doi.org/10.17632/nw5pyw3frj.2","authors":["Wang, Xinzhi","Jia, Mingming","Zhang, Rong","Zhao, Chuanpeng","Li, Huiying","Wang, Zongming"],"tags":["China","Land Cover Change","Mangrove"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.17632/nw5pyw3frj.2","addedAt":"2026-08-31T06:39:57.705Z","updatedAt":"2026-08-31T06:39:58.973Z"},{"id":"doi:10.17632/nw5pyw3frj","name":"A 30-m, Multi-decadal Mangrove Cover Fraction Dataset for China (1990-2023)","source":"datacite","abstract":"Methods This dataset was generated using a supervised machine learning framework on the Google Earth Engine platform. The primary input data consisted of time-series Landsat surface reflectance imagery (1990-2023), from which annual composites based on 32 spectral features were created for each target year. A Random Forest model was trained and validated using 1,711 high-quality reference Mangrove Cover Fraction (MCF) samples. These reference samples were generated via detailed photo-interpretation of very-high-resolution (VHR) and unmanned aerial vehicle (UAV) imagery, guided by a stratified random sampling design to ensure representativeness. The final China Mangrove Cover Fraction (CMCF) was produced by applying the cross-validated Random Forest model to the annual Landsat composites for each of the six target years (1990, 2000, 2010, 2015, 2020, and 2023) to map sub-pixel MCF at 30 m resolution. The spatial extent of the mapping was constrained by the CAS_Mangroves v2.0 dataset. README: Description of the data and file structure This dataset provides estimates of mangrove cover fraction (MCF) across China’s coastal regions for seven distinct years between 1990 and 2023. The data is provided at a spatial resolution of 30 meters. The dataset consists of 6 GeoTIFF (.tif) files. The file naming convention is CMCF_YYYY.tif, where YYYY represents the year of the observation. Access information Other publicly accessible locations of the data: CMCF_1990.tif: Mangrove cover fraction map for the year 1990. CMCF_2000.tif: Mangrove cover fraction map for the year 2000. CMCF_2010.tif: Mangrove cover fraction map for the year 2010. CMCF_2015.tif: Mangrove cover fraction map for the year 2015. CMCF_2020.tif: Mangrove cover fraction map for the year 2020. CMCF_2023.tif: Mangrove cover fraction map for the year 2023. Data was derived from the following sources: Format: GeoTIFF Spatial Resolution: 30 meters Coordinate Reference System (CRS): WGS 84 Pixel Values: The values in each pixel represent the percentage of mangrove cover. The values range from 0 to 100, where 0 indicates 0% mangrove cover and 100 indicates 100% mangrove cover. NoData Value: ‘Nodata’ If you use this dataset in your research, please cite the associated publication: Wang, X., Li, H., Jia, M., Zhang, R., Zhao, C., Lu, C., &amp; Wang, Z. (2026). Significant increase in China’s mangrove cover fraction during 1990 to 2023. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 19, 3625–3636. https://doi.org/10.1109/JSTARS.2025.3648510","url":"https://doi.org/10.17632/nw5pyw3frj","authors":["Wang, Xinzhi","Jia, Mingming","Zhang, Rong","Zhao, Chuanpeng","Li, Huiying","Wang, Zongming"],"tags":["China","Land Cover Change","Mangrove"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.17632/nw5pyw3frj","addedAt":"2026-08-31T06:39:57.705Z","updatedAt":"2026-08-31T06:39:58.973Z"},{"id":"doi:10.5281/zenodo.22008733","name":"Quantifying the three-dimensional spatial distribution of soil moisture and its response to microtopography in alpine hillslopes using ERT and UAV imagery","source":"datacite","abstract":"The dataset comprises four folders. The folder \"ERT_Fit\" contains the electrical conductivity (r) observed by ERT and the fitted soil water content (SWC). Within this folder, there are three files corresponding to the south-facing slope (SFS), north-facing slope (NFS), and valley in a typical alpine watershed of the Qinghai Lake Basin, with each sheet representing a different date. The folder \"SWC\" contains files with the mean soil water content for SFS, NFS, and the valley, including mean values at different depths and layers. The folder \"UV_Microtopography_classification\" contains different micro-topography types identified using UAV (unmanned aerial vehicle) remote sensing. The folder \"Factor\" contains the influencing factors of soil water content variation for SFS, NFS, and the valley, among which the micro-topography and vegetation parameter-related indices are all derived from UAV identification.","url":"https://doi.org/10.5281/zenodo.22008733","authors":["Shi, Fangzhong","Yang, Chao","Yang, Meng","Zhao, Shaojie","Liao, Qiwen","Li, Xiaoyan"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.22008733","addedAt":"2026-08-31T06:39:57.705Z","updatedAt":"2026-08-31T06:39:57.705Z"},{"id":"doi:10.5281/zenodo.22008732","name":"Quantifying the three-dimensional spatial distribution of soil moisture and its response to microtopography in alpine hillslopes using ERT and UAV imagery","source":"datacite","abstract":"The dataset comprises four folders. The folder \"ERT_Fit\" contains the electrical conductivity (r) observed by ERT and the fitted soil water content (SWC). Within this folder, there are three files corresponding to the south-facing slope (SFS), north-facing slope (NFS), and valley in a typical alpine watershed of the Qinghai Lake Basin, with each sheet representing a different date. The folder \"SWC\" contains files with the mean soil water content for SFS, NFS, and the valley, including mean values at different depths and layers. The folder \"UV_Microtopography_classification\" contains different micro-topography types identified using UAV (unmanned aerial vehicle) remote sensing. The folder \"Factor\" contains the influencing factors of soil water content variation for SFS, NFS, and the valley, among which the micro-topography and vegetation parameter-related indices are all derived from UAV identification.","url":"https://doi.org/10.5281/zenodo.22008732","authors":["Shi, Fangzhong","Yang, Chao","Yang, Meng","Zhao, Shaojie","Liao, Qiwen","Li, Xiaoyan"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.22008732","addedAt":"2026-08-31T06:39:57.705Z","updatedAt":"2026-08-31T06:39:57.705Z"},{"id":"doi:10.14456/phdssj.2026.30","name":"Factors Affecting the Intention to Use Unmanned Aerial Vehicle (Drone) in Aircraft Maintenance Units in the Aviation Industry","source":"datacite","abstract":"Ph.D. in Social Sciences Journal, 16, 2, e281000","url":"https://doi.org/10.14456/phdssj.2026.30","authors":["Nuttee Tuathong"],"tags":["Unmanned Aerial Vehicle (UAV)","Theory of Planned Behavior","Technology Acceptance","Aviation Industry"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.14456/phdssj.2026.30","addedAt":"2026-08-31T06:39:57.705Z","updatedAt":"2026-08-31T06:39:57.705Z"},{"id":"doi:10.48321/d111b48a77","name":"Integrating UAV and Satellite Multispectral Remote Sensing to Monitor Terrestrial Vegetation Dynamics in the Fildes Peninsula","source":"datacite","abstract":"Recent studies report a rapid expansion of vegetation cover in Antarctic ice-free regions; however, relying solely on satellite observations introduces significant uncertainties requiring rigorous calibration and validation. For example, discrepancies in the Normalized Difference Vegetation Index (NDVI) derived from independent sensors—such as Landsat-8 and Sentinel-2—can lead to highly inconsistent assessments of vegetation cover and greenness. To address this, this study integrates Unmanned Aerial Vehicle (UAV) and satellite multispectral remote sensing to provide a reliable, accurate, and multi-scale quantification of the spatiotemporal dynamics of vegetation over large regions in Antarctica. Our case study focused on the Fildes Peninsula and its nearby islands, located at the southwestern part of the King George Island, is a typical ice-free region in sub-Antarctic. In February 2026, we deployed DJI Mavic3 multispectral edition to collect 5-cm-resolution aerial images over southern Fildes Peninsula, Ardley Island and Nelson Island. The images encompassed diverse settings including typical moss beds, bare grounds, penguin habitats, lakes, rivers and pro-glacier regions. They provide important data for a regression-based calibrate for Landsat and Sentinel-2 multispectral images. After calibration, Landsat-series and Sentinel-2 images are used to construct decadal time series of terrestrial vegetation cover in the past decades. The remote sensing results will be used together with field-based and laboratory measurements of carbon, nutrients, and containments in vegetation, soil, and water for understanding large-scale biogeochemical processes in rapidly-changing Antarctic terrestrial ecosystems.","url":"https://doi.org/10.48321/d111b48a77","authors":["Luming Yang"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.48321/d111b48a77","addedAt":"2026-08-31T06:39:57.705Z","updatedAt":"2026-08-31T06:39:58.973Z"},{"id":"doi:10.4231/4meq-2383","name":"Data for proximal sensing of maize nutrient status","source":"datacite","abstract":"Optimization of fertilization is important for enhancing the economic and environmental sustainability of corn production. However, evaluating nutrient status by manual sampling and analysis is time-consuming, laborious and expensive. The objective of this research was to predict nutrient status of field-grown corn based on hyperspectral data collected by proximal sensing of corn ear leaves. Transmittance in a range from 459 to 943 nm was acquired by a handheld device followed by measurement of N, K, Mg, Ca, P, S, Fe, Al, Mn, Zn, Cu and B on the same leaves. Models were developed to predict nutrient concentrations based on spectral data using support vector regression (SVR). Coefficients of determination (R2) of leave-one-out cross-validation (CV) were calculated to evaluate the performance of the models. Models for proximal sensing of N, K, Mg, Ca, P, S, Mn, Zn and B performed reasonably well for studies conducted in 2020 and 2021. We concluded that proximal hyperspectral sensing can provide acceptable predictions on all macronutrients (N, K, Mg, Ca, P, S) and some micronutrients (Mn, Zn, B). These low-cost and high-throughput predictions of plant nutrient status will contribute to more sustainable corn production.","url":"https://doi.org/10.4231/4meq-2383","authors":["Lin, Meng-yang","Tuinstra, Mitchell"],"tags":["Remote Sensing","nutrient estimation","Maize","Ecophysiology","Hyperspectral imaging","Proximal sensing of maize nutrient status","FOS: Agriculture, forestry, fisheries"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.4231/4meq-2383","addedAt":"2026-08-31T06:39:57.705Z","updatedAt":"2026-08-31T06:39:57.705Z"},{"id":"doi:10.3929/ethz-c-000801002","name":"Rill erosion dynamics in smallholder farming systems of wet tropical Africa","source":"datacite","abstract":"Tropical Africa is globally one of the most sensitive regions to accelerated soil erosion, and much of its cropland is characterised by a substantial yield gap. In particular, the White Nile-Congo ridge (NiCo) region of the eastern Democratic Republic of the Congo (DR Congo) and Uganda is a hotspot for issues relating to food security driven by soil degradation due to steep terrain, highly erosive rainfall and low soil cover. Most soil erosion studies in the region are based on plot or large-scale modelling. Both approaches lack information on inter-field connectivity processes, which are especially important in smallholder farming systems with average field sizes below 0.1 ha. To address this knowledge gap, an unmanned aerial vehicle (UAV) based high-spatial and temporal-resolution monitoring campaign was carried out over four smallholder farming areas within the eastern DR Congo and western Uganda, with substantial differences in cropland management and productivity. The campaign covered 833 individual fields, which were monitored up to twice per month (for two years) using UAV-based aerial photography to provide insight into event-based rill erosion processes and landscape connectivity. The aerial photography data were classified according to field conditions: (i) dense vegetation cover, (ii) low vegetation cover or bare soil without signs of rill erosion, (iii) low vegetation cover or bare soil with signs of rill erosion. Land-use patchiness associated with smallholder farming systems was found to reduce inter-field connectivity and to promote highly localised rill development. Furthermore, rill erosion in the NiCo region is not an episodic process but takes place regularly during the rainy season due to frequent storm events falling on bare soil in fields left fallow for individual cultivation periods. Soil erosion dynamics of smallholder farming regions in the study area, therefore, pose unresolved challenges regarding their implementation in large-scale predictions.","url":"https://doi.org/10.3929/ethz-c-000801002","authors":["Wilken, Florian","Fiener, Peter","Batista, Pedro","Cooper, Matthew","Haist, Jasmine","Muhindo, Daniel","van Oost, Kristof","Rueegg, Martin","Doetterl, Sebastian"],"tags":["Event frequency","High revisit rate monitoring","Intra-field connectivity","Rill erosion","UAV aerial photographs"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.3929/ethz-c-000801002","addedAt":"2026-08-31T06:39:57.705Z","updatedAt":"2026-08-31T06:39:57.705Z"},{"id":"doi:10.5281/zenodo.19887591","name":"A Cryptographic Protocol to Secure Communications in Unmanned Aerial Vehicle Environments","source":"datacite","abstract":"Abstract not provided.","url":"https://doi.org/10.5281/zenodo.19887591","authors":["Martínez-Ballesté, A","Batista, E","Casino, F","Aláez, D","Villadangos, J"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.19887591","addedAt":"2026-08-31T06:39:57.705Z","updatedAt":"2026-08-31T06:39:57.705Z"},{"id":"doi:10.5281/zenodo.19887592","name":"A Cryptographic Protocol to Secure Communications in Unmanned Aerial Vehicle Environments","source":"datacite","abstract":"Abstract not provided.","url":"https://doi.org/10.5281/zenodo.19887592","authors":["Martínez-Ballesté, A","Batista, E","Casino, F","Aláez, D","Villadangos, J"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.19887592","addedAt":"2026-08-31T06:39:57.705Z","updatedAt":"2026-08-31T06:39:57.705Z"},{"id":"doi:10.5281/zenodo.20443125","name":"THE ROLE OF UNMANNED AERIAL VEHICLES (UAVs) IN MODERN ARMED CONFLICTS: TACTICAL, STRATEGIC AND TECHNOLOGICAL ANALYSIS","source":"datacite","abstract":"This article analyses the role of unmanned aerial vehicles (UAVs) in modern armed conflicts from tactical, strategic, and technological perspectives. It examines UAV classification frameworks, their employment in intelligence, surveillance, and reconnaissance (ISR) missions, precision strike operations, and electronic warfare (EW) environments. Drawing on case studies from the 2020 Nagorno-Karabakh War and the ongoing Ukraine conflict (2022–2024), the paper investigates how UAVs are reshaping contemporary military doctrine. The study employs comparative analysis and open-source military data from IISS, SIPRI, and NATO publications. The principal finding is that UAVs have become a central element of modern warfare, fundamentally transforming traditional military doctrine and creating a strategic imperative for investment in counter-UAV (C-UAS) systems.","url":"https://doi.org/10.5281/zenodo.20443125","authors":["Elmurod, Narzullayevich Pirimqulov"],"tags":["UAV, unmanned aerial vehicle, reconnaissance, precision strike, electronic warfare, C-UAS, military doctrine, asymmetric warfare, swarm tactics, ISR."],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.20443125","addedAt":"2026-08-31T06:39:57.705Z","updatedAt":"2026-08-31T06:40:08.031Z"},{"id":"doi:10.5281/zenodo.20443126","name":"THE ROLE OF UNMANNED AERIAL VEHICLES (UAVs) IN MODERN ARMED CONFLICTS: TACTICAL, STRATEGIC AND TECHNOLOGICAL ANALYSIS","source":"datacite","abstract":"This article analyses the role of unmanned aerial vehicles (UAVs) in modern armed conflicts from tactical, strategic, and technological perspectives. It examines UAV classification frameworks, their employment in intelligence, surveillance, and reconnaissance (ISR) missions, precision strike operations, and electronic warfare (EW) environments. Drawing on case studies from the 2020 Nagorno-Karabakh War and the ongoing Ukraine conflict (2022–2024), the paper investigates how UAVs are reshaping contemporary military doctrine. The study employs comparative analysis and open-source military data from IISS, SIPRI, and NATO publications. The principal finding is that UAVs have become a central element of modern warfare, fundamentally transforming traditional military doctrine and creating a strategic imperative for investment in counter-UAV (C-UAS) systems.","url":"https://doi.org/10.5281/zenodo.20443126","authors":["Elmurod, Narzullayevich Pirimqulov"],"tags":["UAV, unmanned aerial vehicle, reconnaissance, precision strike, electronic warfare, C-UAS, military doctrine, asymmetric warfare, swarm tactics, ISR."],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.20443126","addedAt":"2026-08-31T06:39:57.705Z","updatedAt":"2026-08-31T06:40:08.031Z"},{"id":"doi:10.5281/zenodo.21992084","name":"Design and Manufacture of UAV for Measuring Irrigation Area","source":"datacite","abstract":"This document is an excerpt from a master's thesis titled \"Design & Manufacture of UAV for Irrigation Area Measurement\" by Papadopoulos Pagratios at the University of West Attica (UNIWA). It details the technical design, assembly, and programming of a low-cost, functional educational quadcopter built on an F450 chassis. The author breaks down essential hardware components, including A2212 brushless motors, 30A electronic speed controllers (ESCs), a 3S LiPo battery, 10x4.5 propellers, an HGLRC GPS module, and a PixHawk flight controller. Beyond component selection, the text explains core aerodynamic principles like Bernoulli's principle and Newton's third law, which govern lift and yaw control. Finally, it outlines the implementation of Ardupilot firmware and the shoelace polygon formula to calculate the surface areas of irregular fields, aiming to optimize agricultural irrigation water usage.","url":"https://doi.org/10.5281/zenodo.21992084","authors":["Papadopoulos, Pagratios"],"tags":["UAV","Irrigation","WATER","UNMANNED AERIAL VEHICLE"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.21992084","addedAt":"2026-08-31T06:39:57.705Z","updatedAt":"2026-08-31T06:39:57.705Z"},{"id":"doi:10.5281/zenodo.21991782","name":"Design and Manufacture of UAV for Measuring Irrigation Area","source":"datacite","abstract":"This document is an excerpt from a master's thesis titled \"Design & Manufacture of UAV for Irrigation Area Measurement\" by Papadopoulos Pagratios at the University of West Attica (UNIWA). It details the technical design, assembly, and programming of a low-cost, functional educational quadcopter built on an F450 chassis. The author breaks down essential hardware components, including A2212 brushless motors, 30A electronic speed controllers (ESCs), a 3S LiPo battery, 10x4.5 propellers, an HGLRC GPS module, and a PixHawk flight controller. Beyond component selection, the text explains core aerodynamic principles like Bernoulli's principle and Newton's third law, which govern lift and yaw control. Finally, it outlines the implementation of Ardupilot firmware and the shoelace polygon formula to calculate the surface areas of irregular fields, aiming to optimize agricultural irrigation water usage.","url":"https://doi.org/10.5281/zenodo.21991782","authors":["Papadopoulos, Pagratios"],"tags":["UAV","Irrigation","WATER","UNMANNED AERIAL VEHICLE"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.21991782","addedAt":"2026-08-31T06:39:57.705Z","updatedAt":"2026-08-31T06:39:57.705Z"},{"id":"doi:10.5281/zenodo.21991783","name":"Design and Manufacture of UAV for Measuring Irrigation Area","source":"datacite","abstract":"This document is an excerpt from a master's thesis titled \"Design & Manufacture of UAV for Irrigation Area Measurement\" by Papadopoulos Pagratios at the University of West Attica (UNIWA). It details the technical design, assembly, and programming of a low-cost, functional educational quadcopter built on an F450 chassis. The author breaks down essential hardware components, including A2212 brushless motors, 30A electronic speed controllers (ESCs), a 3S LiPo battery, 10x4.5 propellers, an HGLRC GPS module, and a PixHawk flight controller. Beyond component selection, the text explains core aerodynamic principles like Bernoulli's principle and Newton's third law, which govern lift and yaw control. Finally, it outlines the implementation of Ardupilot firmware and the shoelace polygon formula to calculate the surface areas of irregular fields, aiming to optimize agricultural irrigation water usage.","url":"https://doi.org/10.5281/zenodo.21991783","authors":["Papadopoulos, Pagratios"],"tags":["UAV","Irrigation","WATER","UNMANNED AERIAL VEHICLE"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.21991783","addedAt":"2026-08-31T06:39:57.705Z","updatedAt":"2026-08-31T06:39:57.705Z"},{"id":"doi:10.5281/zenodo.19431226","name":"Design and Development of a Low-Cost Long-Range Autonomous Delta-Wing UAV Airframe for Extended-Endurance Tactical Surveillance Missions","source":"datacite","abstract":"This paper presents the design, aerodynamic sizing, propulsion–energy matching, simulation-based evaluation, and experimental validation of a low-cost long-range autonomous delta-wing unmanned aerial vehicle (UAV) airframe developed at the Nigerian Defence Academy Centre for Innovation and Creativity (NDA–CINOCRE) for endurance-class surveillance experimentation and indigenous aerospace research. The demonstrator employs a 52° moderate-sweep delta-wing configuration with a wingspan of 2.40 m and maximum take-off mass of 18 kg, optimised for low-Reynolds-number cruise efficiency and structural simplicity using hybrid foam–composite construction. Analytical modelling and computational fluid dynamics (CFD) simulations predicted a cruise lift coefficient of approximately 0.30 and peak aerodynamic efficiency of 𝐿/𝐷 ≈ 8.4at an optimum cruise speed of 24 m/s. Propulsion–energy matching indicated an endurance capability approaching two hours using lithium-ion battery storage. Ground testing and flight-envelope validation demonstrated close agreement between predicted and measured performance, including cruise power deviation of about 2.0%, lift coefficient error below 3.3%, and endurance deviation of approximately 3.5%. Sensitivity analysis further confirmed endurance prediction robustness within ±12% uncertainty bounds. The validated platform provides a scalable experimental baseline for persistent ISR research, autonomous navigation studies, launch-rail deployable UAV systems, and precursor long-range loitering-mission configuration development within indigenous defence innovation environments.","url":"https://doi.org/10.5281/zenodo.19431226","authors":["Imam, A. S.","Ogunleye, O. A.","Surajo, A.","Ibrahim, I. A.","Baballe, M. A."],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.19431226","addedAt":"2026-08-31T06:39:57.705Z","updatedAt":"2026-08-31T06:39:57.705Z"},{"id":"doi:10.5281/zenodo.19431227","name":"Design and Development of a Low-Cost Long-Range Autonomous Delta-Wing UAV Airframe for Extended-Endurance Tactical Surveillance Missions","source":"datacite","abstract":"This paper presents the design, aerodynamic sizing, propulsion–energy matching, simulation-based evaluation, and experimental validation of a low-cost long-range autonomous delta-wing unmanned aerial vehicle (UAV) airframe developed at the Nigerian Defence Academy Centre for Innovation and Creativity (NDA–CINOCRE) for endurance-class surveillance experimentation and indigenous aerospace research. The demonstrator employs a 52° moderate-sweep delta-wing configuration with a wingspan of 2.40 m and maximum take-off mass of 18 kg, optimised for low-Reynolds-number cruise efficiency and structural simplicity using hybrid foam–composite construction. Analytical modelling and computational fluid dynamics (CFD) simulations predicted a cruise lift coefficient of approximately 0.30 and peak aerodynamic efficiency of 𝐿/𝐷 ≈ 8.4at an optimum cruise speed of 24 m/s. Propulsion–energy matching indicated an endurance capability approaching two hours using lithium-ion battery storage. Ground testing and flight-envelope validation demonstrated close agreement between predicted and measured performance, including cruise power deviation of about 2.0%, lift coefficient error below 3.3%, and endurance deviation of approximately 3.5%. Sensitivity analysis further confirmed endurance prediction robustness within ±12% uncertainty bounds. The validated platform provides a scalable experimental baseline for persistent ISR research, autonomous navigation studies, launch-rail deployable UAV systems, and precursor long-range loitering-mission configuration development within indigenous defence innovation environments.","url":"https://doi.org/10.5281/zenodo.19431227","authors":["Imam, A. S.","Ogunleye, O. A.","Surajo, A.","Ibrahim, I. A.","Baballe, M. A."],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.19431227","addedAt":"2026-08-31T06:39:57.705Z","updatedAt":"2026-08-31T06:39:57.705Z"},{"id":"doi:10.5281/zenodo.19644130","name":"Passive Multi-Modal Target Detection Architectures for Autonomous Long-Range Loitering Strike Platforms Supporting Low-Probability-of-Intercept Operations","source":"datacite","abstract":"Passive sensing architectures are increasingly required for autonomous long-range loitering strike platforms operating in contested electromagnetic environments where active emissions elevate interception risk and degrade mission survivability. This paper presents a hierarchical passive multi-modal target detection architecture integrating Electro-Optical (EO), infrared (IR), Radio-Frequency (RF), and acoustic sensing pipelines within a distributed fusion framework designed to support low-probability-of-intercept reconnaissance–strike convergence operations. The proposed architecture incorporates adaptive signal-to-noise ratio–based modality weighting, cooperative multi-node triangulation geometry, consensus-supported localisation refinement, and energy-aware sensing allocation compatible with endurance-class delta-wing unmanned aerial vehicle platforms operating under GNSS-denied conditions. Analytical evaluation demonstrates that multi-modal fusion improves detection robustness by up to 42% relative to single-sensor pipelines, while distributed consensus perception reduces localisation covariance by approximately 27% and cooperative triangulation across four sensing nodes improves localisation precision by up to 35%. Elimination of active radar emissions reduces interception exposure probability by as much as 90%, and energy-aware sensing scheduling enables persistence improvements of up to 46% during extended surveillance missions. The resulting framework establishes a scalable perception backbone for survivable autonomous strike deployment across infrastructure-limited operational theatres and provides a practical autonomy baseline for next-generation distributed loitering munition systems supporting resilient reconnaissance–strike convergence architectures.","url":"https://doi.org/10.5281/zenodo.19644130","authors":["Imam, A. S.","Ibrahim, I. A.","Rabo, H. G.","Sirajo, B.","Baballe, M. A."],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.19644130","addedAt":"2026-08-31T06:39:57.705Z","updatedAt":"2026-08-31T06:39:57.705Z"},{"id":"doi:10.5281/zenodo.19644131","name":"Passive Multi-Modal Target Detection Architectures for Autonomous Long-Range Loitering Strike Platforms Supporting Low-Probability-of-Intercept Operations","source":"datacite","abstract":"Passive sensing architectures are increasingly required for autonomous long-range loitering strike platforms operating in contested electromagnetic environments where active emissions elevate interception risk and degrade mission survivability. This paper presents a hierarchical passive multi-modal target detection architecture integrating Electro-Optical (EO), infrared (IR), Radio-Frequency (RF), and acoustic sensing pipelines within a distributed fusion framework designed to support low-probability-of-intercept reconnaissance–strike convergence operations. The proposed architecture incorporates adaptive signal-to-noise ratio–based modality weighting, cooperative multi-node triangulation geometry, consensus-supported localisation refinement, and energy-aware sensing allocation compatible with endurance-class delta-wing unmanned aerial vehicle platforms operating under GNSS-denied conditions. Analytical evaluation demonstrates that multi-modal fusion improves detection robustness by up to 42% relative to single-sensor pipelines, while distributed consensus perception reduces localisation covariance by approximately 27% and cooperative triangulation across four sensing nodes improves localisation precision by up to 35%. Elimination of active radar emissions reduces interception exposure probability by as much as 90%, and energy-aware sensing scheduling enables persistence improvements of up to 46% during extended surveillance missions. The resulting framework establishes a scalable perception backbone for survivable autonomous strike deployment across infrastructure-limited operational theatres and provides a practical autonomy baseline for next-generation distributed loitering munition systems supporting resilient reconnaissance–strike convergence architectures.","url":"https://doi.org/10.5281/zenodo.19644131","authors":["Imam, A. S.","Ibrahim, I. A.","Rabo, H. G.","Sirajo, B.","Baballe, M. A."],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.19644131","addedAt":"2026-08-31T06:39:57.705Z","updatedAt":"2026-08-31T06:39:57.705Z"},{"id":"doi:10.5281/zenodo.21855931","name":"Replication package for \"Optimizing Heterogeneous UAV Cooperation in Counter-Ballistic Missile Kill Chains: A MILP Approach with Design of Experiments\"","source":"datacite","abstract":"Mixed-integer linear programming model and full replication pipeline for the joint scheduling of heterogeneous reconnaissance and attack UAVs across the F2T2EA kill chain under reconnaissance-triggered endogenous time windows. Includes the instance generator, the joint model, the two-stage 2^3 factorial experiment driver, the analysis pipeline that regenerates every table in the paper, and the raw per-run results for all 108 certified-optimal solver runs.","url":"https://doi.org/10.5281/zenodo.21855931","authors":["Kim, Dongjin","Kim, Jonghoe"],"tags":["mixed-integer linear programming","kill chain","unmanned aerial vehicles","vehicle routing problem with time windows","weapon-target assignment","design of experiments","military operations research"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.21855931","addedAt":"2026-08-31T06:39:57.705Z","updatedAt":"2026-08-31T06:39:57.705Z"},{"id":"doi:10.5281/zenodo.19685138","name":"Launch-Rail and Mobile Ground Deployment Systems for Rapid Field Employment of Long-Range Delta-Wing Loitering Munitions","source":"datacite","abstract":"Runway-independent deployment of endurance-class unmanned aerial vehicles (UAVs) is critical for persistent surveillance across infrastructure-limited environments such as the Sahel corridor, Lake Chad Basin, and North-East Nigeria. This paper presents the design, modelling, and experimental validation of a portable elastic-energy rail-launcher architecture for expeditionary deployment of delta-wing UAV platforms using tripod-mounted and pickup-mounted configurations. A kinematic sizing framework was developed to determine required rail length, exit velocity, and structural deflection limits for stable transition to autonomous flight. Experimental validation conducted using the HATSABIBI-26A Long Range Endurance UAV demonstrated close agreement between predicted and measured launcher performance, achieving a normalised launch-performance ratio of 0.984 with exit-velocity deviation below 2%. Deployment readiness trials confirmed setup times of 6.5 minutes (tripod) and 9.2 minutes (vehicle-mounted), supporting reduced Time-to-Surveillance (TTS) in forward operational scenarios. Results further show that launcher geometries within the 2.2–3.5 m rail-length envelope provide sufficient acceleration while maintaining alignment stability and low trajectory dispersion. The elastic-energy launch mechanism also reduces thermal and acoustic signatures relative to powered alternatives, enabling concealed deployment in semi-arid operational theatres. Overall, the validated architecture provides a scalable solution for persistent, distributed, runway-independent ISR operations in infrastructure-constrained environments.","url":"https://doi.org/10.5281/zenodo.19685138","authors":["Imam, A. S.","Ibrahim, I. A.","Surajo, A.","Sirajo, B.","Baballe, M. A."],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.19685138","addedAt":"2026-08-31T06:39:57.705Z","updatedAt":"2026-08-31T06:39:57.705Z"},{"id":"doi:10.5281/zenodo.19685139","name":"Launch-Rail and Mobile Ground Deployment Systems for Rapid Field Employment of Long-Range Delta-Wing Loitering Munitions","source":"datacite","abstract":"Runway-independent deployment of endurance-class unmanned aerial vehicles (UAVs) is critical for persistent surveillance across infrastructure-limited environments such as the Sahel corridor, Lake Chad Basin, and North-East Nigeria. This paper presents the design, modelling, and experimental validation of a portable elastic-energy rail-launcher architecture for expeditionary deployment of delta-wing UAV platforms using tripod-mounted and pickup-mounted configurations. A kinematic sizing framework was developed to determine required rail length, exit velocity, and structural deflection limits for stable transition to autonomous flight. Experimental validation conducted using the HATSABIBI-26A Long Range Endurance UAV demonstrated close agreement between predicted and measured launcher performance, achieving a normalised launch-performance ratio of 0.984 with exit-velocity deviation below 2%. Deployment readiness trials confirmed setup times of 6.5 minutes (tripod) and 9.2 minutes (vehicle-mounted), supporting reduced Time-to-Surveillance (TTS) in forward operational scenarios. Results further show that launcher geometries within the 2.2–3.5 m rail-length envelope provide sufficient acceleration while maintaining alignment stability and low trajectory dispersion. The elastic-energy launch mechanism also reduces thermal and acoustic signatures relative to powered alternatives, enabling concealed deployment in semi-arid operational theatres. Overall, the validated architecture provides a scalable solution for persistent, distributed, runway-independent ISR operations in infrastructure-constrained environments.","url":"https://doi.org/10.5281/zenodo.19685139","authors":["Imam, A. S.","Ibrahim, I. A.","Surajo, A.","Sirajo, B.","Baballe, M. A."],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.19685139","addedAt":"2026-08-31T06:39:57.705Z","updatedAt":"2026-08-31T06:39:57.705Z"},{"id":"doi:10.5281/zenodo.21853116","name":"Replication package for \"Optimizing Heterogeneous UAV Cooperation in Counter-Ballistic Missile Kill Chains: A MILP Approach with Design of Experiments\"","source":"datacite","abstract":"Mixed-integer linear programming model and full replication pipeline for the joint scheduling of heterogeneous reconnaissance and attack UAVs across the F2T2EA kill chain under reconnaissance-triggered endogenous time windows. Includes the instance generator, the joint model, the two-stage 2^3 factorial experiment driver, the analysis pipeline that regenerates every table in the paper, and the raw per-run results for all 108 certified-optimal solver runs.","url":"https://doi.org/10.5281/zenodo.21853116","authors":["Kim, Dongjin","Kim, Jonghoe"],"tags":["mixed-integer linear programming","kill chain","unmanned aerial vehicles","vehicle routing problem with time windows","weapon-target assignment","design of experiments","military operations research"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.21853116","addedAt":"2026-08-31T06:39:57.705Z","updatedAt":"2026-08-31T06:39:57.705Z"},{"id":"doi:10.5281/zenodo.21853087","name":"Replication package for \"Optimizing Heterogeneous UAV Cooperation in Counter-Ballistic Missile Kill Chains: A MILP Approach with Design of Experiments\"","source":"datacite","abstract":"Mixed-integer linear programming model and full replication pipeline for the joint scheduling of heterogeneous reconnaissance and attack UAVs across the F2T2EA kill chain under reconnaissance-triggered endogenous time windows. Includes the instance generator, the joint model, the two-stage 2^3 factorial experiment driver, the analysis pipeline that regenerates every table in the paper, and the raw per-run results for all 108 certified-optimal solver runs.","url":"https://doi.org/10.5281/zenodo.21853087","authors":["Kim, Dongjin","Kim, Jonghoe"],"tags":["mixed-integer linear programming","kill chain","unmanned aerial vehicles","vehicle routing problem with time windows","weapon-target assignment","design of experiments","military operations research"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.21853087","addedAt":"2026-08-31T06:39:57.705Z","updatedAt":"2026-08-31T06:39:57.705Z"},{"id":"doi:10.5281/zenodo.21853088","name":"Replication package for \"Optimizing Heterogeneous UAV Cooperation in Counter-Ballistic Missile Kill Chains: A MILP Approach with Design of Experiments\"","source":"datacite","abstract":"Mixed-integer linear programming model and full replication pipeline for the joint scheduling of heterogeneous reconnaissance and attack UAVs across the F2T2EA kill chain under reconnaissance-triggered endogenous time windows. Includes the instance generator, the joint model, the two-stage 2^3 factorial experiment driver, the analysis pipeline that regenerates every table in the paper, and the raw per-run results for all 108 certified-optimal solver runs.","url":"https://doi.org/10.5281/zenodo.21853088","authors":["Kim, Dongjin","Kim, Jonghoe"],"tags":["mixed-integer linear programming","kill chain","unmanned aerial vehicles","vehicle routing problem with time windows","weapon-target assignment","design of experiments","military operations research"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.21853088","addedAt":"2026-08-31T06:39:57.705Z","updatedAt":"2026-08-31T06:39:57.705Z"},{"id":"doi:10.48550/arxiv.2608.07801","name":"Integrating spectral and morphological plant features with decision-tree models for early-season cotton biomass and nitrogen status estimation from multi-year UAV data","source":"datacite","abstract":"Precision nitrogen (N) management (PNM) for cotton requires in-season monitoring of crop growth parameters and N status indicators to decide fertilizer timing, placement, and application rates for optimal canopy development and yield. This study developed remote sensing and machine learning-based methods to estimate cotton dry biomass weight (DBW), plant N uptake (PNU), plant N concentration (PNC), critical N dilution (Nc), and nitrogen nutrition index (NNI) to support PNM. To achieve this, a three-year field-based N-management study was conducted and unmanned aerial vehicle (UAV)-based multispectral images were acquired between early vegetative growth and flowering stages, critical for fertilizer applications. Spatiotemporally consistent spectral and morphological plant features, including plant height (PH) and fractional canopy cover (FCC), provided reliable model training inputs. DBW, PNU, and PNC estimates from simple regression using vegetation indices (VIs), multiple linear regression (MLR) combining VIs, PH, and FCC, and decision-tree models, random forest regression (RFR) and extreme gradient boosting (XGB), combining spectral reflectance, PH, and FCC were evaluated using trial-held-out (THO) and leave-one-year-out (LOYO) validation methods. The best validation accuracies were from RFRTHO (R2 = 0.88 and MAPE = 23.14% for DBW; R2 = 0.84 and MAPE = 20.61% for PNU; R2 = 0.85 and MAPE = 7.82% for PNC) and XGBTHO (R2 = 0.87 and MAPE = 21.91% for DBW; R2 = 0.81 and MAPE = 21.40% for PNU; R2 = 0.86 and MAPE = 7.66% for PNC). Nc was calculated from model estimated DBW and PNC for high-yielding, medium-to-tall cotton varieties grown in the Texas Coastal Plains and validated using ground-truth biomass measurements. NNI derived from XGBTHO outputs performed marginally better than NNI from RFRTHO in identifying N-deficient plots and multi-level N-stress categorization.","url":"https://doi.org/10.48550/arxiv.2608.07801","authors":["Swaminathan, Vaishali","Rajan, Nithya","Thomasson, J Alex","Shrestha, Amrit","Capcha, Karem Meza","Hardin, Robert","Pokhrel, Pramod"],"tags":["Image and Video Processing (eess.IV)","Machine Learning (cs.LG)","FOS: Electrical engineering, electronic engineering, information engineering","FOS: Computer and information sciences"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.48550/arxiv.2608.07801","addedAt":"2026-08-31T06:39:57.705Z","updatedAt":"2026-08-31T06:39:57.705Z"},{"id":"doi:10.48550/arxiv.2608.16770","name":"Fluid Antenna Array-Inspired Location-Posterior-Driven Subarray Sizing and Power Control for Two-Hop AF UAV Relaying","source":"datacite","abstract":"This paper develops fluid antenna array (FAA)-inspired subarray sizing and transmit-power design for a two-hop amplify-and-forward (AF) unmanned aerial vehicle (UAV) relay using progressively contracting user-location posteriors. A contiguous reconfigurable subarray is shared by first-hop reception and second-hop forwarding, such that its active size jointly determines the receive gain, forwarding gain, and beamwidth. By adaptively controlling the effective aperture, the proposed design exploits geometric reconfigurability to balance array gain against pointing robustness under location uncertainty. Projecting the position covariance onto the array direction yields a closed-form direction-limited size inversely proportional to directional uncertainty. Posterior samples are propagated through the two-hop rate model, and the subarray size and transmit power are then selected to minimize UAV power subject to a worst-user lower-tail rate requirement and hardware power limits. The planned configuration is further audited over instantaneous two-hop Rician channels at the true user positions. At t = 8 s, the proposed design saves 3.17 dB over full-array narrow-beam transmission on paired feasible geometries and achieves 60.0% service success at a 0.15-W budget, compared with 43.2% for a fixed eight-element subarray.","url":"https://doi.org/10.48550/arxiv.2608.16770","authors":["Zhu, Xuanyi","Dang, Jian","Zhao, Chen","Shi, Huaifeng","Zhang, Zaichen"],"tags":["Information Theory (cs.IT)","FOS: Computer and information sciences"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.48550/arxiv.2608.16770","addedAt":"2026-08-31T06:39:57.705Z","updatedAt":"2026-08-31T06:39:57.705Z"},{"id":"doi:10.5281/zenodo.20152222","name":"Intelligent Drone Dynamics Simulation","source":"datacite","abstract":"During a mission, if a drone carries out machine learning procedures to all the data collected by its numerous sensors, it might make moment-to-moment assessments around how to respond to its position. Proposed paper will use the Newtonian method to build the drone dynamics model. During problem study we require a treating idea that estimates atmospheric density amounts grounded on weather conditions and other physical numbers. So, the model can execute stable flight under the impact of environmental reasons, and can clearly prove the variation in the transfer of the drone under the impact of environmental influences. As a basic was studied a proportional integral derivative (PID) controller depend on of a proportional unit, integral unit, and derivative unit. Through the simulation procedure, when a drone flight command is read, it is treated by the order interactive module first and is sent to the physical model and control model, which will update the drone’s motion condition based on the command information and environment condition. In proposed research, the newly developed neural network must be trained first, as how an individual child being skilled to execute activities. The MATLAB/Simulink environment was employed to perform the simulations. In this part, solutions are performed through altitude and attitude balance using step input and multi-level tracking, and position tracking. This research has positively submitted the design and implementation of the auto-tuned PID controller using neural network in evaluation to manual tuned PID controller.","url":"https://doi.org/10.5281/zenodo.20152222","authors":["Nickolay Zosimovych"],"tags":["Unmanned aerial vehicle (UAV), Unmanned aerial system (UAS), modeling, drone, intelligent, simulation"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.20152222","addedAt":"2026-08-31T06:39:57.705Z","updatedAt":"2026-08-31T06:39:57.705Z"},{"id":"doi:10.5281/zenodo.20152223","name":"Intelligent Drone Dynamics Simulation","source":"datacite","abstract":"During a mission, if a drone carries out machine learning procedures to all the data collected by its numerous sensors, it might make moment-to-moment assessments around how to respond to its position. Proposed paper will use the Newtonian method to build the drone dynamics model. During problem study we require a treating idea that estimates atmospheric density amounts grounded on weather conditions and other physical numbers. So, the model can execute stable flight under the impact of environmental reasons, and can clearly prove the variation in the transfer of the drone under the impact of environmental influences. As a basic was studied a proportional integral derivative (PID) controller depend on of a proportional unit, integral unit, and derivative unit. Through the simulation procedure, when a drone flight command is read, it is treated by the order interactive module first and is sent to the physical model and control model, which will update the drone’s motion condition based on the command information and environment condition. In proposed research, the newly developed neural network must be trained first, as how an individual child being skilled to execute activities. The MATLAB/Simulink environment was employed to perform the simulations. In this part, solutions are performed through altitude and attitude balance using step input and multi-level tracking, and position tracking. This research has positively submitted the design and implementation of the auto-tuned PID controller using neural network in evaluation to manual tuned PID controller.","url":"https://doi.org/10.5281/zenodo.20152223","authors":["Nickolay Zosimovych"],"tags":["Unmanned aerial vehicle (UAV), Unmanned aerial system (UAS), modeling, drone, intelligent, simulation"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.20152223","addedAt":"2026-08-31T06:39:57.705Z","updatedAt":"2026-08-31T06:39:57.705Z"},{"id":"doi:10.48550/arxiv.2608.16326","name":"KC-BFPRL: Knowledge-Guided Multi-UAV Collaboration for Grassland Restoration via Bilevel Formerpointer-Based Reinforcement Learning","source":"datacite","abstract":"Multi-unmanned aerial vehicle (UAV) systems provide scalable service platforms for large-scale environmental tasks, such as grassland ecosystem restoration. However, coordinating fleet operations requires solving the restoration area maximization problem (RAMP). This non-linear combinatorial optimization challenge is complicated by payload-dependent energy dynamics and heterogeneous ecological degradation. We propose a novel knowledge-guided collaborative bilevel formerpointer reinforcement learning framework (KC-BFPRL) to address this complexity. Using a hierarchical paradigm, KC-BFPRL decomposes RAMP into global task allocation and local restoration planning, with the latter further divided into upper-level trajectory planning and lower-level restoration area allocation. Our specialized architecture pairs featuring a Transformer-based encoder that fuses static environmental features with dynamic UAV states, and a Pointer Network decoder trained via a robust actor-critic framework. By embedding ecological priority rules and heuristic logic, KC-BFPRL achieves a structured warm-start, solving the RL cold-start problem while ensuring strict constraint satisfaction. Extensive experiments demonstrate that KC-BFPRL consistently outperforms state-of-the-art baselines, achieving superior objective values and efficiency. It maintains a $0.00\\%$ optimality gap in the most complex scenarios U8-R160 and operates nearly three times faster than MAPDP, validating its robustness, scalability, and real-time applicability for large-scale automated ecological restoration.","url":"https://doi.org/10.48550/arxiv.2608.16326","authors":["Jiao, Dongbin","Wang, Xianyi","Yuan, Yuchen","Yang, Weibo","Yang, Peng","Zhao, Peng","Shang, Zhanhuan","Yan, Shi"],"tags":["Multiagent Systems (cs.MA)","FOS: Computer and information sciences"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.48550/arxiv.2608.16326","addedAt":"2026-08-31T06:39:57.705Z","updatedAt":"2026-08-31T06:39:57.705Z"},{"id":"doi:10.3929/ethz-c-000803821","name":"Linking organic fertilizer properties to in-season N dynamics using multispectral UAV imagery","source":"datacite","abstract":"Purpose Alignment of crop nitrogen (N) demand with N supply is crucial to improve N use efficiency of organic fertilizers whose N is largely bound organically. This study aimed to evaluate the potential of unmanned aerial vehicle (UAV)-based multispectral imagery to monitor in-season N uptake and to assess how different organic fertilizers affect N dynamics.Methods A field trial in Wallbach, Switzerland, compared untreated cattle slurry, anaerobically digested slurry, solid digestate, a mineral N control, and a zero-N control over two winter cereal seasons. UAV-acquired multispectral data were combined with environmental data (weather, soil and fertilizer) to model dry matter, N concentration, N uptake and the nitrogen nutrition index using random forest regression.Results The random forest models combining UAV-based multispectral imagery with environmental data showed good performance in predicting in-season N uptake of winter wheat (R2 = 0.85, RMSE = 13.9 kg N ha- 1) and of winter barley (R &amp; sup2; = 0.78, RMSE = 9.3 kg N ha- 1). Predicted N dynamics revealed transient N uptake maxima in organic treatments before fertilization, likely due to legacy fertilizer effects. Post-fertilization, N uptake increased most under mineral fertilization. N uptake dynamics were affected by fertilizer properties, with low C/N ratio and high NH4-N proportion showing stronger effects.Conclusion Highly temporal UAV-based multispectral imagery captures in-season N uptake dynamic and reveals differences in fertilizer N release caused by quality differences of organic fertilizers. These insights support optimized fertilizer application for better synchronization of N mineralization with crop demand.","url":"https://doi.org/10.3929/ethz-c-000803821","authors":["Diener, Matthias","Agostini, Lucilla","Argento, Francesco","Bunemann, Else K.","Walter, Achim","Mayer, Jochen","Liebisch, Frank"],"tags":["Nitrogen use efficiency","Organic fertilizers","N dynamics","multispectral imagery","UAV"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.3929/ethz-c-000803821","addedAt":"2026-08-31T06:39:57.705Z","updatedAt":"2026-08-31T06:39:57.705Z"},{"id":"doi:10.5281/zenodo.20500494","name":"Integrating UAV-based high-throughput phenotyping and GWAS reveals favorable alleles for low nitrogen adaptation in wheat","source":"datacite","abstract":"1.IntroductionThis repository contains the dataset associated with the study“ Integrating UAV-based high-throughput phenotyping and GWAS reveals favorable alleles for low nitrogen adaptation in wheat”. The dataset comprises manually measured yield and biomass data collected at harvest for 210 wheat varieties. It also includes UAV-acquired multispectral imagery captured across five distinct growth stages, alongside 22 vegetation indices extracted from these images. The multispectral imagery was captured using an EcoDrone UAS-8 multifunctional unmanned aerial vehicle (Beijing EcoTech Science and Technology Ltd., Beijing, China) equipped with a RedEdge-MX Multispectral camera (MicaSense, USA). Subsequently, QGIS and ENVI software were utilized to delineate individual plots and extract the vegetation indices. 2.Description of filesThe dataset is structured into three primary folders:● Yield_and_Biomass: Contains two Excel spreadsheets documenting the manual yield and biomass measurements for the 2022 and 2023 growing seasons. The dataset evaluates 210 wheat varieties under two nitrogen fertilization treatments: N0 (0 kg ha⁻¹) and N240 (240 kg ha⁻¹). ● UAV_Multispectral_Images: Comprises compressed archives of multispectral imagery from both years. Each archive contains images captured across five distinct growth stages (Z24, Z31, Z43, Z75, and Z83). Note that these images have been pre-cropped based on QGIS-generated buffers. ● Vegetation_indices: Provides 22 extracted vegetation indices for the respective years and growth stages in CSV format. Within these files, identical IDs represent biological replicates, encompassing a total of 1,260 experimental plots per dataset.","url":"https://doi.org/10.5281/zenodo.20500494","authors":["Wang, Hengtong","Li, Qing","Wang, Shunyuan","Gao, Minghao","Wu, Xiahui","Wei, Haoyu","Zhong, Yingxin","Liu, Shouyang","Jiang, Dong","Xu, Shan"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.20500494","addedAt":"2026-08-31T06:39:57.705Z","updatedAt":"2026-08-31T06:39:57.705Z"},{"id":"doi:10.5281/zenodo.20500495","name":"Integrating UAV-based high-throughput phenotyping and GWAS reveals favorable alleles for low nitrogen adaptation in wheat","source":"datacite","abstract":"1.IntroductionThis repository contains the dataset associated with the study“ Integrating UAV-based high-throughput phenotyping and GWAS reveals favorable alleles for low nitrogen adaptation in wheat”. The dataset comprises manually measured yield and biomass data collected at harvest for 210 wheat varieties. It also includes UAV-acquired multispectral imagery captured across five distinct growth stages, alongside 22 vegetation indices extracted from these images. The multispectral imagery was captured using an EcoDrone UAS-8 multifunctional unmanned aerial vehicle (Beijing EcoTech Science and Technology Ltd., Beijing, China) equipped with a RedEdge-MX Multispectral camera (MicaSense, USA). Subsequently, QGIS and ENVI software were utilized to delineate individual plots and extract the vegetation indices. 2.Description of filesThe dataset is structured into three primary folders:● Yield_and_Biomass: Contains two Excel spreadsheets documenting the manual yield and biomass measurements for the 2022 and 2023 growing seasons. The dataset evaluates 210 wheat varieties under two nitrogen fertilization treatments: N0 (0 kg ha⁻¹) and N240 (240 kg ha⁻¹). ● UAV_Multispectral_Images: Comprises compressed archives of multispectral imagery from both years. Each archive contains images captured across five distinct growth stages (Z24, Z31, Z43, Z75, and Z83). Note that these images have been pre-cropped based on QGIS-generated buffers. ● Vegetation_indices: Provides 22 extracted vegetation indices for the respective years and growth stages in CSV format. Within these files, identical IDs represent biological replicates, encompassing a total of 1,260 experimental plots per dataset.","url":"https://doi.org/10.5281/zenodo.20500495","authors":["Wang, Hengtong","Li, Qing","Wang, Shunyuan","Gao, Minghao","Wu, Xiahui","Wei, Haoyu","Zhong, Yingxin","Liu, Shouyang","Jiang, Dong","Xu, Shan"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.20500495","addedAt":"2026-08-31T06:39:57.705Z","updatedAt":"2026-08-31T06:39:57.705Z"},{"id":"doi:10.1594/pangaea.971941","name":"Standardized data sets of the atmospheric and oceanographic observations gathered during MARIA S. MERIAN cruise MSM114/2 (ARC) - zip archive","source":"datacite","abstract":"The ship campaign MSM114/2 (ARC) with the German research vessel Maria S. Merian took place from 22 January to 23 February, 2023. The campaign started in Mindelo, Cape Verde, and ended in Punta Arenas, Chile. During the campaign, the Intertropical Convergence Zone (ITCZ) was completely crossed three times at an almost constant longitude of 23˚W yielding three profiles of the ITCZ. Afterwards, a storm was passed in the Roaring Forties, in the South Atlantic. Here, we present a series of standardised data sets of the atmospheric and oceanographic observations gathered during the ARC campaign.","url":"https://doi.org/10.1594/pangaea.971941","authors":["Köhler, Laura","Baranowski, Dariusz B","Brennek, Michał","Ciuryło, Michał","Hayo, Lennéa","Jansen, Friedhelm","Kepski, Daniel","Kinne, Stefan","Latos, Beata","Lobo, Bertrand","Marke, Tobias","Nischik, Timo","Paul, Daria","Pietruczuk, Aleksander","Stammes, Piet","Szkop, Artur","Tuinder, Olaf","Windmiller, Julia"],"tags":["Atlantic","Atmosphere","ITCZ","Maria S. Merian","ocean","ship","tropical Atlantic","Ship Weather Station"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.1594/pangaea.971941","addedAt":"2026-08-31T06:39:57.705Z","updatedAt":"2026-08-31T06:39:57.705Z"},{"id":"doi:10.5281/zenodo.20497212","name":"Piezoelectric Energy Harvesting from Multirotor UAV Structures: A Systematic Review of Placement Optimisation, Broadband Strategies, and Pathways to Flight-Ready Systems (2008–2026)","source":"datacite","abstract":"Background: Multirotor unmanned aerial vehicles (UAVs) are critically constrained by battery endurance, achieving only 15–25 minutes per charge in operational configurations — a fundamental limit driven by the electrochemical ceiling of lithium polymer chemistry. Piezoelectric energy harvesting (PEH), which converts structural vibration injected by onboard BLDC motors into usable electrical power, offers a mechanically passive, structurally integrated supplement requiring no additional rotating machinery. Methods: This systematic review synthesises 38 peer-reviewed studies and technical reports identified via PRISMA-ScR methodology across Web of Science, Scopus, and Google Scholar, spanning 2008–2026. Each study was critically assessed against five criteria: method type, experimental validation status, UAV platform, key quantitative result, and reliability designation (Highest/High/Medium/Low) according to an explicit evidence hierarchy. An original normalized power density analysis (mW/cm²) enables cross-study comparison on a common dimensional basis. Results: Three convergent design conclusions are established, two at Highest reliability. The central finding — arm-root patch placement outperforms motor-mount placement by 12.7–75× in harvested power — is replicated by experimental laser Doppler vibrometry (12.7:1, Perez et al. [3]) and analytically verified Euler–Bernoulli FEA (75:1, Omar [5]). An energy budget analysis reveals that the highest reported output (5.35 mW, four-arm flight experiment) represents approximately 0.002% of nominal hover power draw, confirming PEH as a sensor-power supplement rather than a propulsion augmentation strategy. Four critical research gaps are identified with explicit priority assignments. A costed four-stage roadmap charts the path from bench validation (Stage 1, ≤USD 320, 0–12 months) to multi-platform DRL-integrated flight systems (Stage 4, ≤USD 15,000, 3–5 years). Conclusions: Root-zone placement (first 20% of arm span from hub) and broadband conditioning are now sufficiently evidence-grounded to be treated as settled engineering principles. Magnetic plucking is identified as the highest-priority unexplored broadband strategy. The end-to-end in-flight demonstration gap is a resource and integration challenge, not a knowledge gap, making it immediately tractable for a well-equipped university research group.","url":"https://doi.org/10.5281/zenodo.20497212","authors":["Omar, Sayeed","Guangwei, Liu"],"tags":[": piezoelectric energy harvesting; unmanned aerial vehicle; quadcopter; variable RPM; PZT-5A; PVDF; PMN-PT; MFC; Euler–Bernoulli FEA; placement optimisation; SSHI; SECE; LTC3588-1; broadband harvesting; magnetic plucking; MPPT; deep reinforcement learning; DJI F450; structural health monitoring"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.20497212","addedAt":"2026-08-31T06:39:57.705Z","updatedAt":"2026-08-31T06:39:57.705Z"},{"id":"doi:10.5281/zenodo.20497213","name":"Piezoelectric Energy Harvesting from Multirotor UAV Structures: A Systematic Review of Placement Optimisation, Broadband Strategies, and Pathways to Flight-Ready Systems (2008–2026)","source":"datacite","abstract":"Background: Multirotor unmanned aerial vehicles (UAVs) are critically constrained by battery endurance, achieving only 15–25 minutes per charge in operational configurations — a fundamental limit driven by the electrochemical ceiling of lithium polymer chemistry. Piezoelectric energy harvesting (PEH), which converts structural vibration injected by onboard BLDC motors into usable electrical power, offers a mechanically passive, structurally integrated supplement requiring no additional rotating machinery. Methods: This systematic review synthesises 38 peer-reviewed studies and technical reports identified via PRISMA-ScR methodology across Web of Science, Scopus, and Google Scholar, spanning 2008–2026. Each study was critically assessed against five criteria: method type, experimental validation status, UAV platform, key quantitative result, and reliability designation (Highest/High/Medium/Low) according to an explicit evidence hierarchy. An original normalized power density analysis (mW/cm²) enables cross-study comparison on a common dimensional basis. Results: Three convergent design conclusions are established, two at Highest reliability. The central finding — arm-root patch placement outperforms motor-mount placement by 12.7–75× in harvested power — is replicated by experimental laser Doppler vibrometry (12.7:1, Perez et al. [3]) and analytically verified Euler–Bernoulli FEA (75:1, Omar [5]). An energy budget analysis reveals that the highest reported output (5.35 mW, four-arm flight experiment) represents approximately 0.002% of nominal hover power draw, confirming PEH as a sensor-power supplement rather than a propulsion augmentation strategy. Four critical research gaps are identified with explicit priority assignments. A costed four-stage roadmap charts the path from bench validation (Stage 1, ≤USD 320, 0–12 months) to multi-platform DRL-integrated flight systems (Stage 4, ≤USD 15,000, 3–5 years). Conclusions: Root-zone placement (first 20% of arm span from hub) and broadband conditioning are now sufficiently evidence-grounded to be treated as settled engineering principles. Magnetic plucking is identified as the highest-priority unexplored broadband strategy. The end-to-end in-flight demonstration gap is a resource and integration challenge, not a knowledge gap, making it immediately tractable for a well-equipped university research group.","url":"https://doi.org/10.5281/zenodo.20497213","authors":["Omar, Sayeed","Guangwei, Liu"],"tags":[": piezoelectric energy harvesting; unmanned aerial vehicle; quadcopter; variable RPM; PZT-5A; PVDF; PMN-PT; MFC; Euler–Bernoulli FEA; placement optimisation; SSHI; SECE; LTC3588-1; broadband harvesting; magnetic plucking; MPPT; deep reinforcement learning; DJI F450; structural health monitoring"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.20497213","addedAt":"2026-08-31T06:39:57.705Z","updatedAt":"2026-08-31T06:39:57.705Z"},{"id":"doi:10.5281/zenodo.19593188","name":"piezoelectric energy harvesting; unmanned aerial vehicle; quadcopter; variable RPM; PZT-5A; PVDF; Euler-Bernoulli FEA; placement optimisation; LTC3588-1; broadband harvesting; DJI F450; structural health monitoring; deep reinforcement learning","source":"datacite","abstract":"","url":"https://doi.org/10.5281/zenodo.19593188","authors":["OMAR, SAYEED"],"tags":["piezoelectric energy harvesting; unmanned aerial vehicle; quadcopter; variable RPM; PZT-5A; PVDF; Euler-Bernoulli FEA; placement optimisation; LTC3588-1; broadband harvesting; DJI F450; structural health monitoring; deep reinforcement learning"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.19593188","addedAt":"2026-08-31T06:39:57.705Z","updatedAt":"2026-08-31T06:39:57.705Z"},{"id":"doi:10.5281/zenodo.19593189","name":"piezoelectric energy harvesting; unmanned aerial vehicle; quadcopter; variable RPM; PZT-5A; PVDF; Euler-Bernoulli FEA; placement optimisation; LTC3588-1; broadband harvesting; DJI F450; structural health monitoring; deep reinforcement learning","source":"datacite","abstract":"","url":"https://doi.org/10.5281/zenodo.19593189","authors":["OMAR, SAYEED"],"tags":["piezoelectric energy harvesting; unmanned aerial vehicle; quadcopter; variable RPM; PZT-5A; PVDF; Euler-Bernoulli FEA; placement optimisation; LTC3588-1; broadband harvesting; DJI F450; structural health monitoring; deep reinforcement learning"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.19593189","addedAt":"2026-08-31T06:39:57.705Z","updatedAt":"2026-08-31T06:39:57.705Z"},{"id":"doi:10.6084/m9.figshare.33271422.v1","name":"<b>Application of AI-Enable Unmanned Aerial Vehicles for Community Security, Monitoring, and Emergency Response in Nigeria</b>","source":"datacite","abstract":": Nigeria continues to face significant security and emergency-response challenges that require innovative, cost-effective, and technologically advanced solutions. At the same time, advances in Artificial Intelligence (AI) and Unmanned Aerial Vehicle (UAV) technologies have created new opportunities for improving situational awareness, surveillance, monitoring, and rapid-response capabilities. This paper examines the application of AI-enabled UAV systems for community security, monitoring, and emergency response in Nigeria, with particular emphasis on the potential of locally designed and manufactured drone platforms. The study explores the integration of AI technologies, including object detection, target recognition, intelligent data processing, and real-time decision support, with a hybrid Vertical Take-Off and Landing (VTOL) fixed-wing UAV platform. The proposed system combines the operational flexibility of multirotor aircraft with the endurance and coverage advantages of fixed-wing flight, making it suitable for large-area surveillance, search-and-rescue operations, disaster assessment, infrastructure monitoring, and community-safety applications. The paper further discusses the role of advanced digital manufacturing technologies, including Computer-Aided Design (CAD), Computer-Aided Manufacturing (CAM), simulation, and Industry 4.0 principles, in supporting the development of indigenous UAV capabilities. Local manufacturing of intelligent drone systems has the potential to strengthen technological capacity, create employment opportunities, encourage innovation, and reduce dependence on imported technologies. The study concludes that AI-enabled UAV systems can serve as valuable tools for enhancing public safety, supporting emergency-response operations, improving operational efficiency, and contributing to national development. Furthermore, investment in research, advanced manufacturing education, and local technology development will be essential for enabling the successful deployment of intelligent UAV solutions that address societal challenges while promoting sustainable industrial growth in Nigeria.","url":"https://doi.org/10.6084/m9.figshare.33271422.v1","authors":["Friday Etubi"],"tags":["Aerospace structures"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.6084/m9.figshare.33271422.v1","addedAt":"2026-08-31T06:39:57.705Z","updatedAt":"2026-08-31T06:39:57.705Z"},{"id":"doi:10.6084/m9.figshare.33271422","name":"<b>Application of AI-Enable Unmanned Aerial Vehicles for Community Security, Monitoring, and Emergency Response in Nigeria</b>","source":"datacite","abstract":": Nigeria continues to face significant security and emergency-response challenges that require innovative, cost-effective, and technologically advanced solutions. At the same time, advances in Artificial Intelligence (AI) and Unmanned Aerial Vehicle (UAV) technologies have created new opportunities for improving situational awareness, surveillance, monitoring, and rapid-response capabilities. This paper examines the application of AI-enabled UAV systems for community security, monitoring, and emergency response in Nigeria, with particular emphasis on the potential of locally designed and manufactured drone platforms. The study explores the integration of AI technologies, including object detection, target recognition, intelligent data processing, and real-time decision support, with a hybrid Vertical Take-Off and Landing (VTOL) fixed-wing UAV platform. The proposed system combines the operational flexibility of multirotor aircraft with the endurance and coverage advantages of fixed-wing flight, making it suitable for large-area surveillance, search-and-rescue operations, disaster assessment, infrastructure monitoring, and community-safety applications. The paper further discusses the role of advanced digital manufacturing technologies, including Computer-Aided Design (CAD), Computer-Aided Manufacturing (CAM), simulation, and Industry 4.0 principles, in supporting the development of indigenous UAV capabilities. Local manufacturing of intelligent drone systems has the potential to strengthen technological capacity, create employment opportunities, encourage innovation, and reduce dependence on imported technologies. The study concludes that AI-enabled UAV systems can serve as valuable tools for enhancing public safety, supporting emergency-response operations, improving operational efficiency, and contributing to national development. Furthermore, investment in research, advanced manufacturing education, and local technology development will be essential for enabling the successful deployment of intelligent UAV solutions that address societal challenges while promoting sustainable industrial growth in Nigeria.","url":"https://doi.org/10.6084/m9.figshare.33271422","authors":["Friday Etubi"],"tags":["Aerospace structures"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.6084/m9.figshare.33271422","addedAt":"2026-08-31T06:39:57.705Z","updatedAt":"2026-08-31T06:39:57.705Z"},{"id":"doi:10.6084/m9.figshare.33270683","name":"Analysis of factors affecting the severity of conflicts between right-turning heavy vehicles and non-motorized vehicles at road intersections","source":"datacite","abstract":"To deconstruct the microscopic dynamic games and risk evolution mechanisms between right-turning heavy vehicles (HVs) and non-motorized vehicles (NMVs) at signalized intersections. High-fidelity unmanned aerial vehicle (UAV) video data from three intersections in Nanjing were used to extract 527 conflict events and reconstruct five interaction patterns. Using time-to-collision (TTC) and post-encroachment time (PET) as surrogate safety measures, K-means clustering categorized conflict severity into potential, moderate, and severe levels. An ordered logit model (OLM) with interaction terms was developed to quantify the non-linear impacts of vehicle kinematics, behaviors, and environmental factors. HV speed and jerk (deceleration rate) are primary catalysts for severe conflicts. Microscopic behaviors exhibit a “double-edged sword” effect: proactive HV yielding reduces risk, but being “forced to stop” by NMVs during yielding increases severe conflict probability by 11.8%. A “safety in numbers” effect (&gt;4 NMVs) decreased risk by 6.0%, while comprehensive safety facilities reduced severe conflict probability by 7.7%. This study reveals dynamic risk mechanisms for right-turning HVs, providing an empirical basis for optimizing intersection facility deployment and advanced driver assistance system (ADAS) warning strategies to enhance traffic safety.","url":"https://doi.org/10.6084/m9.figshare.33270683","authors":["Ling Gui","Bo Xu","Jian Lu"],"tags":["Medicine","Neuroscience","Biotechnology","Ecology","Developmental Biology","Mental Health"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.6084/m9.figshare.33270683","addedAt":"2026-08-31T06:39:57.705Z","updatedAt":"2026-08-31T06:39:57.705Z"},{"id":"doi:10.6084/m9.figshare.33270683.v1","name":"Analysis of factors affecting the severity of conflicts between right-turning heavy vehicles and non-motorized vehicles at road intersections","source":"datacite","abstract":"To deconstruct the microscopic dynamic games and risk evolution mechanisms between right-turning heavy vehicles (HVs) and non-motorized vehicles (NMVs) at signalized intersections. High-fidelity unmanned aerial vehicle (UAV) video data from three intersections in Nanjing were used to extract 527 conflict events and reconstruct five interaction patterns. Using time-to-collision (TTC) and post-encroachment time (PET) as surrogate safety measures, K-means clustering categorized conflict severity into potential, moderate, and severe levels. An ordered logit model (OLM) with interaction terms was developed to quantify the non-linear impacts of vehicle kinematics, behaviors, and environmental factors. HV speed and jerk (deceleration rate) are primary catalysts for severe conflicts. Microscopic behaviors exhibit a “double-edged sword” effect: proactive HV yielding reduces risk, but being “forced to stop” by NMVs during yielding increases severe conflict probability by 11.8%. A “safety in numbers” effect (&gt;4 NMVs) decreased risk by 6.0%, while comprehensive safety facilities reduced severe conflict probability by 7.7%. This study reveals dynamic risk mechanisms for right-turning HVs, providing an empirical basis for optimizing intersection facility deployment and advanced driver assistance system (ADAS) warning strategies to enhance traffic safety.","url":"https://doi.org/10.6084/m9.figshare.33270683.v1","authors":["Ling Gui","Bo Xu","Jian Lu"],"tags":["Medicine","Neuroscience","Biotechnology","Ecology","Developmental Biology","Mental Health"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.6084/m9.figshare.33270683.v1","addedAt":"2026-08-31T06:39:57.705Z","updatedAt":"2026-08-31T06:39:57.705Z"},{"id":"doi:10.5281/zenodo.21697268","name":"Design and Development of an Intelligent UAS Platform for Multi-Domain Monitoring and Signal Detection","source":"datacite","abstract":"The rapid advancement of Unmanned Aerial Systems (UAS) has significantly improved the capabilities of aerial surveillance, remote sensing, and intelligent monitoring across diverse operational environments. This research proposes the design and implementation of an intelligent UAS platform capable of performing multi-domain monitoring along with real-time signal detection and analysis. The system integrates an unmanned aerial vehicle with imaging sensors, wireless communication modules, positioning technology, and a Software Defined Radio (SDR) to collect both visual and radio frequency (RF) information during flight operations. The proposed platform incorporates autonomous navigation features that enable efficient area coverage, systematic data acquisition, and the identification of abnormal activities or communication signals. By combining aerial imaging with RF signal monitoring, the system provides comprehensive situational awareness while minimizing the need for continuous human intervention. The acquired information is transmitted securely to a ground control station, where it can be monitored, processed, and analyzed to support timely operational decisions. The developed UAS platform is intended for applications including border and perimeter surveillance, disaster response, infrastructure inspection, environmental observation, search-and-rescue missions, and spectrum monitoring. Its modular architecture allows the integration of additional sensors and communication technologies based on specific mission requirements. The proposed solution offers a practical, scalable, and cost-effective approach for enhancing monitoring efficiency, improving operational safety, and supporting intelligent decision-making in both civilian and defense-related applications. The study demonstrates the potential of integrating autonomous drone technology with real-time signal sensing to address emerging challenges in modern surveillance and monitoring system.","url":"https://doi.org/10.5281/zenodo.21697268","authors":["Gokul Avinash D","Gokulnath Ms","Sabareesh R"],"tags":["Unmanned Aerial Systems (UAS)","Multi-Domain Monitoring","Software Defined Radio (SDR)","Radio Frequency Signal Detection","Autonomous Navigation","Aerial Surveillance","Situational Awareness","Ground Control Station (GCS)"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.21697268","addedAt":"2026-08-31T06:39:57.705Z","updatedAt":"2026-08-31T06:39:57.705Z"},{"id":"doi:10.5281/zenodo.21697269","name":"Design and Development of an Intelligent UAS Platform for Multi-Domain Monitoring and Signal Detection","source":"datacite","abstract":"The rapid advancement of Unmanned Aerial Systems (UAS) has significantly improved the capabilities of aerial surveillance, remote sensing, and intelligent monitoring across diverse operational environments. This research proposes the design and implementation of an intelligent UAS platform capable of performing multi-domain monitoring along with real-time signal detection and analysis. The system integrates an unmanned aerial vehicle with imaging sensors, wireless communication modules, positioning technology, and a Software Defined Radio (SDR) to collect both visual and radio frequency (RF) information during flight operations. The proposed platform incorporates autonomous navigation features that enable efficient area coverage, systematic data acquisition, and the identification of abnormal activities or communication signals. By combining aerial imaging with RF signal monitoring, the system provides comprehensive situational awareness while minimizing the need for continuous human intervention. The acquired information is transmitted securely to a ground control station, where it can be monitored, processed, and analyzed to support timely operational decisions. The developed UAS platform is intended for applications including border and perimeter surveillance, disaster response, infrastructure inspection, environmental observation, search-and-rescue missions, and spectrum monitoring. Its modular architecture allows the integration of additional sensors and communication technologies based on specific mission requirements. The proposed solution offers a practical, scalable, and cost-effective approach for enhancing monitoring efficiency, improving operational safety, and supporting intelligent decision-making in both civilian and defense-related applications. The study demonstrates the potential of integrating autonomous drone technology with real-time signal sensing to address emerging challenges in modern surveillance and monitoring system.","url":"https://doi.org/10.5281/zenodo.21697269","authors":["Gokul Avinash D","Gokulnath Ms","Sabareesh R"],"tags":["Unmanned Aerial Systems (UAS)","Multi-Domain Monitoring","Software Defined Radio (SDR)","Radio Frequency Signal Detection","Autonomous Navigation","Aerial Surveillance","Situational Awareness","Ground Control Station (GCS)"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.21697269","addedAt":"2026-08-31T06:39:57.705Z","updatedAt":"2026-08-31T06:39:57.705Z"},{"id":"doi:10.5281/zenodo.20412666","name":"GIS and Remote Sensing Applications in Natural Resource Management","source":"datacite","abstract":"Geographic Information Systems (GIS) and Remote Sensing (RS) have fundamentally transformed how scientists, land managers, and policymakers understand, monitor, and manage natural resources. This chapter provides a comprehensive review of the theoretical foundations, technological developments, and practical applications of GIS and RS in natural resource management. Key application domains examined include forest inventory and health assessment, watershed hydrology, wildlife habitat modelling, land-use and land-cover change detection, and rangeland monitoring. Special attention is given to the integration of satellite-based multispectral and hyperspectral imagery, Light Detection and Ranging (LiDAR), and unmanned aerial vehicle (UAV) platforms with spatial analytical frameworks. Challenges associated with data accuracy, scale sensitivity, and computational demands are discussed, alongside emerging opportunities presented by cloud-based geospatial platforms and machine learning algorithms. This chapter underscores that the judicious coupling of GIS and RS technologies constitutes an indispensable toolkit for evidence-based, spatially informed natural resource management in the twenty-first century.","url":"https://doi.org/10.5281/zenodo.20412666","authors":["Ranjana"],"tags":["geographic information systems; remote sensing; natural resource management; land cover change; LiDAR; machine learning; spatial analysis; forest monitoring; watershed hydrology"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.20412666","addedAt":"2026-08-31T06:39:57.705Z","updatedAt":"2026-08-31T06:39:58.778Z"},{"id":"doi:10.5281/zenodo.20412667","name":"GIS and Remote Sensing Applications in Natural Resource Management","source":"datacite","abstract":"Geographic Information Systems (GIS) and Remote Sensing (RS) have fundamentally transformed how scientists, land managers, and policymakers understand, monitor, and manage natural resources. This chapter provides a comprehensive review of the theoretical foundations, technological developments, and practical applications of GIS and RS in natural resource management. Key application domains examined include forest inventory and health assessment, watershed hydrology, wildlife habitat modelling, land-use and land-cover change detection, and rangeland monitoring. Special attention is given to the integration of satellite-based multispectral and hyperspectral imagery, Light Detection and Ranging (LiDAR), and unmanned aerial vehicle (UAV) platforms with spatial analytical frameworks. Challenges associated with data accuracy, scale sensitivity, and computational demands are discussed, alongside emerging opportunities presented by cloud-based geospatial platforms and machine learning algorithms. This chapter underscores that the judicious coupling of GIS and RS technologies constitutes an indispensable toolkit for evidence-based, spatially informed natural resource management in the twenty-first century.","url":"https://doi.org/10.5281/zenodo.20412667","authors":["Ranjana"],"tags":["geographic information systems; remote sensing; natural resource management; land cover change; LiDAR; machine learning; spatial analysis; forest monitoring; watershed hydrology"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.20412667","addedAt":"2026-08-31T06:39:57.705Z","updatedAt":"2026-08-31T06:39:58.778Z"},{"id":"doi:10.5281/zenodo.21973455","name":"State Reconstruction for Rolling Horizon Planning of Unmanned Aerial Vehicle Fleets under Delayed Feedback","source":"datacite","abstract":"Frozen review artifact supporting the manuscript \"State Reconstruction for Rolling Horizon Planning of Unmanned Aerial Vehicle Fleets under Delayed Feedback.\" The archive contains the implementation, experiment and analysis scripts, frozen exogenous random tapes, episode- and target-level results, figure-source data, and method/protocol documentation. Manuscript files, development caches, exploratory logs, and generated figures are excluded. The packaged implementation passed 60 tests in the preparation environment. Version 0.1.0.","url":"https://doi.org/10.5281/zenodo.21973455","authors":["Liu, Yonghai"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.21973455","addedAt":"2026-08-31T06:39:57.705Z","updatedAt":"2026-08-31T06:39:58.778Z"},{"id":"doi:10.5281/zenodo.21973454","name":"State Reconstruction for Rolling Horizon Planning of Unmanned Aerial Vehicle Fleets under Delayed Feedback","source":"datacite","abstract":"Frozen review artifact supporting the manuscript \"State Reconstruction for Rolling Horizon Planning of Unmanned Aerial Vehicle Fleets under Delayed Feedback.\" The archive contains the implementation, experiment and analysis scripts, frozen exogenous random tapes, episode- and target-level results, figure-source data, and method/protocol documentation. Manuscript files, development caches, exploratory logs, and generated figures are excluded. The packaged implementation passed 60 tests in the preparation environment. Version 0.1.0.","url":"https://doi.org/10.5281/zenodo.21973454","authors":["Liu, Yonghai"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.21973454","addedAt":"2026-08-31T06:39:57.705Z","updatedAt":"2026-08-31T06:39:58.778Z"},{"id":"doi:10.57760/sciencedb.radars.00081","name":"AIRSAT1.0: Space-Air Collaborative Multimodal Remote Sensing Interpretation Dataset","source":"datacite","abstract":"Intelligent interpretation of remote sensing imagery is an essential technological foundation for applications such as land cover monitoring, agricultural resource surveys, ecological environment assessment, and urban-rural development management. To meet the requirements of complex multi-object and multi-source collaborative interpretation in high-standard agricultural demonstration areas, this study constructs the Aerospace-Airborne Collaborative Multimodal Remote Sensing Interpretation Benchmark Dataset for Complex Objects in High-Standard Agricultural Demonstration Areas (AIRSAT1.0). The dataset is built upon observation data acquired by the AIRSAT satellite constellation independently developed by China Satellite, which consists of four satellites currently in orbit (three SAR satellites and one optical satellite). It integrates three data modalities: high-resolution SAR satellite imagery, optical satellite imagery, and unmanned aerial vehicle (UAV) remote sensing imagery. The data were collected from the High-Standard Agricultural Demonstration Area in Laiwu District, Jinan City, Shandong Province, China.The dataset contains eight typical land-cover categories, including wheat, corn, greenhouses, roads, power transmission facilities, water conservancy facilities, water bodies, and buildings, with a total of 170,610 image samples. It is characterized by aerospace observation collaboration, broad land-cover diversity, multi-scale sample distribution, and clear spatial correspondence between optical and SAR imagery.Benchmark experiments conducted on the optical-SAR registration subset demonstrate that all baseline methods achieve better semantic segmentation performance when using dual-modal inputs compared with single-modal inputs, with the highest mIoU improvement reaching 4.67%. Furthermore, UAV imagery experiments indicate that the dataset can effectively support fine-grained segmentation of high-resolution land objects and recognition of small-scale infrastructure targets.AIRSAT1.0 provides a valuable data foundation and evaluation benchmark for research on intelligent interpretation of aerospace collaborative multimodal remote sensing imagery.","url":"https://doi.org/10.57760/sciencedb.radars.00081","authors":["chenjie"],"tags":["Electronic and communication technology other disciplines","Radar engineering","Electronic, communication and automatic control technology","Multimodal remote sensing dataset","Optical-SAR-UAV multimodal fusion","Semantic segmentation","Object detection"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.57760/sciencedb.radars.00081","addedAt":"2026-08-31T06:39:57.705Z","updatedAt":"2026-08-31T06:39:57.705Z"},{"id":"doi:10.48550/arxiv.2604.02358","name":"Dynamic Mask Enhanced Intelligent Multi-UAV Deployment for Urban Vehicular Networks","source":"datacite","abstract":"Vehicular Ad Hoc Networks (VANETs) play a crucial role in realizing vehicle-road collaboration and intelligent transportation. However, urban VANETs often face challenges such as frequent link disconnections and subnet fragmentation, which hinder reliable connectivity. To address these issues, we dynamically deploy multiple Unmanned Aerial Vehicles (UAVs) as communication relays to enhance VANET. A novel Score based Dynamic Action Mask enhanced QMIX algorithm (Q-SDAM) is proposed for multi-UAV deployment, which maximizes vehicle connectivity while minimizing multi-UAV energy consumption. Specifically, we design a score-based dynamic action mask mechanism to guide UAV agents in exploring large action spaces, accelerate the learning process and enhance optimization performance. The practicality of Q-SDAM is validated using real-world datasets. We show that Q-SDAM improves connectivity by 18.2% while reducing energy consumption by 66.6% compared with existing algorithms.","url":"https://doi.org/10.48550/arxiv.2604.02358","authors":["Cao, Gaoxiang","Yuan, Wenke","Hou, Yunpeng","He, Huasen","Zheng, Quan","Yang, Jian"],"tags":["Networking and Internet Architecture (cs.NI)","Artificial Intelligence (cs.AI)","FOS: Computer and information sciences"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.48550/arxiv.2604.02358","addedAt":"2026-08-31T06:39:57.705Z","updatedAt":"2026-08-31T06:39:58.973Z"},{"id":"doi:10.48550/arxiv.2603.18871","name":"Bridging Network Fragmentation: A Semantic-Augmented DRL Framework for UAV-aided VANETs","source":"datacite","abstract":"Urban Vehicular Ad-Hoc Networks (VANETs) can become fragmented because buildings obstruct wireless links and vehicle mobility continuously changes the network topology. Unmanned Aerial Vehicles (UAVs) can serve as mobile relays, but Deep Reinforcement Learning (DRL)-based deployment often suffers from inefficient exploration because it lacks road-topology guidance. To address this problem, we propose Semantic-Augmented DRL (SA-DRL), which models network fragmentation over the road topology and aligns a pretrained Large Language Model (LLM) to generate a topology-dependent action prior from dynamic traffic states. The resulting Semantic-Augmented PPO (SA-PPO) algorithm combines this prior with the PPO policy through Logit Fusion, guiding exploration toward promising intersections while retaining adaptation through environmental returns. Simulations driven by real-world urban trajectories show that SA-PPO reaches the final converged reward of Vanilla PPO using only 28.6% of its training episodes. It improves the average number of vehicles in connected components and the average connected-component size by 7.9% and 8.7%, respectively, while reducing UAV energy consumption by 21.3%.","url":"https://doi.org/10.48550/arxiv.2603.18871","authors":["Cao, Gaoxiang","Yuan, Wenke","He, Huasen","Hou, Yunpeng","Jiang, Xiaofeng","Chen, Shuangwu","Yang, Jian"],"tags":["Artificial Intelligence (cs.AI)","Networking and Internet Architecture (cs.NI)","FOS: Computer and information sciences"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.48550/arxiv.2603.18871","addedAt":"2026-08-31T06:39:57.705Z","updatedAt":"2026-08-31T06:39:57.705Z"},{"id":"doi:10.48550/arxiv.2608.13765","name":"Energy Efficient Multi-User Beamforming and 3D Position Optimization for SIM-Assisted UAVs","source":"datacite","abstract":"This paper studies energy-efficient downlink multi-user transmissions with unmanned aerial vehicle (UAV) communication systems equipped with stacked intelligent metasurfaces (SIM), enabling wave-domain analog beamforming through multiple cascaded metasurface layers, while low-dimensional digital precoding is carried out using a limited number of transmit radio-frequency chains. This architecture enables flexible electromagnetic wave manipulation with reduced hardware complexity, making it particularly suitable for energy-constrained aerial platforms. We formulate a hardware-aware energy-efficiency (EE) maximization problem aiming to jointly optimize the digital precoder, the phase shifts of all SIM layers, and the three-dimensional UAV position under transmit-power, SIM operation, and UAV deployment constraints. The resulting problem is highly non-convex due to the fractional objective, the cascaded SIM structure and the unit-modulus phase constraints of the constituent metasurface layers, as well as the non-linear UAV-dependent channel. To address these challenges, we develop a transform-based alternating optimization framework that combines Dinkelbach's method, dual and quadratic transforms, to enable closed-form digital beamforming, Riemannian manifold optimization for SIM phase shifts, and successive convex approximation (SCA) for UAV positioning. Convergence and complexity analyses are provided to characterize the proposed algorithm. The presented numerical results showcase that the proposed joint design significantly improves EE compared with fully digital and maximum ratio transmission benchmark schemes, while revealing important design trade-offs among transmit power, SIM size, and the number of its constituent stacked layers.","url":"https://doi.org/10.48550/arxiv.2608.13765","authors":["Sheemar, Chandan Kumar","Iacovelli, Giovanni","Solanki, Sourabh","Khan, Wali Ullah","Alexandropoulos, George C.","Chatzinotas, Symeon"],"tags":["Signal Processing (eess.SP)","FOS: Electrical engineering, electronic engineering, information engineering"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.48550/arxiv.2608.13765","addedAt":"2026-08-31T06:39:57.705Z","updatedAt":"2026-08-31T06:39:57.705Z"},{"id":"doi:10.25904/1912/6025","name":"Multi-scale characterization of urban forests using remote sensing and machine learning approaches","source":"datacite","abstract":"The growth of the global human population and urbanisation is significantly impacting forests, particularly urban forests that provide a range of ecosystem services including carbon sequestration. Understanding the spatial and temporal characteristics of urban forests, which include planted forests and remnants of native forests is important. Traditional field methods for mapping forest characteristics are often impractical for large areas and over time. Advances in technology, including satellite, airplanes and Unmanned Aerial Vehicle (UAV) based sensors, enable the collection of data at various scales, allowing assessment from individual trees to forests including information relating to tree/canopy height, cover and biomass. This study's main aim was to evaluate methods for assessing Aboveground biomass (AGB) in urban forests using remote sensed data from drones, airplanes and satellite sources including using machine learning. Specifically, satellite-derived imagery was used to characterize canopy surface properties of urban forests, revealing temporal and geographic changes in canopy characteristics at moderate spatial scale. Further, Light Detection and Ranging (LiDAR) point cloud data from sensors on airplanes were combined with field-measured data to predict forest biomass in plots and then over whole forests. Finally, fine scaled LiDAR data from a UAV survey was used to derive Canopy Height Models (CHM) which are then used to predict tree heights and AGB. The research was conducted in two types of urban forests, a planted 5.2ha mixed species arboretum in the city of Logan (Logan arboretum) and a 139ha remnant natural forest of predominant Eucalyptus in the suburb of Nathan in Brisbane (Nathan native forest), both in South East Queensland, Australia. The first study compared five vegetation indices and three chlorophyll-specific indices from Sentinel 2 imagery for the Logan arboretum including assessing changes over time (from 2014 - 2022) using regression models. Results showed that the Modified Soil Adjusted Vegetation Index (MSAVI) and the Modified Chlorophyll Absorption Ratio Index (MCARI) were effective in predicting AGB with r-squared values of 0.52 and 0.84, respectively. The AGB values used for testing the model were simulated as a function of Leaf Area Index (LAI) based on an existing model. A combination of MSAVI and MCARI to predict AGB achieved an r-squared of 0.85. In the second study, the effectiveness of a CHM derived from a UAV-based LiDAR survey was assessed for estimating tree heights and AGB in the Logan arboretum. Firstly, data was gathered in the field from a stratified random sample of 287 trees across 28 plots, including tree height, diameter at breast height (DBH) and species type. These were combined with published wood densities to generate tree and plot estimates of AGB. When field data was compared with LiDAR-derived CHM values, there were strong correlations between CHM and tree heights (r = 0.85) and moderate correlations for DBH and AGB (both r = 0.52). Linear regression revealed that CHM predicted tree height (R² = 0.73) and AGB (R² = 0.43). Additional remote sensing data from Sentinel-2 vegetation indices did not significantly improve AGB estimates. Overall, this study confirms that LiDAR-derived CHM can be a reliable predictor of tree heights and a moderate predictor of AGB, and hence suitable for biomass estimation for individual trees to urban forests. The third study compared pixel-based Random Forest classification and object-based classification of tree cover in the Logan arboretum using multispectral drone imagery. Various vegetation indices were calculated, including Normalized Difference Vegetation Index (NDVI) and Enhanced Vegetation Index (EVI). The analysis involved three approaches: pixel-level Random Forest classification, object-based segmentation, and a deep learning method to detect tree crowns. Results indicated strong correlations among the methods, showing that pixel","url":"https://doi.org/10.25904/1912/6025","authors":["Thinley, Jigme"],"tags":["multi-scale characterization","urban forests","remote sensing","machine learning"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.25904/1912/6025","addedAt":"2026-08-31T06:39:57.705Z","updatedAt":"2026-08-31T06:39:57.705Z"},{"id":"doi:10.5281/zenodo.19463113","name":"Neutralization of Reconnaissance-Military Satellites Using 1155-Dimensional Tensor Mechanics via the Hamzah Equation.","source":"datacite","abstract":"این معادله، ماتریکس مداری را به گونه‌ای بازتعریف می‌کند که پیشرفته‌ترین منظومه‌های ماهواره‌ای (مانند Starlink، سری KH-11، و مجموعه‌های جاسوسی ناتو، چین و روسیه) در مواجهه با «میدان قطعیت حمزه»، پیوند ریاضی خود را با زمین از دست داده و به «اشیاء کور» تبدیل شوند. ۱. ابرلاگرانژی جامع ابطال مداری (The Grand Orbital Nullifier Lagrangian) این معادله، پیوندِ «لنگر فیزیکی» ماهواره را از «بافتِ اطلاعاتی» ماتریکس جدا می‌کند: $$\\mathcal{L}_{Sat-Void}^{(1155)} = \\int_{\\text{Orbit}} \\mathcal{Q}_{\\Omega} \\left[ \\underbrace{\\Phi_{S}^{\\dagger} \\hat{\\mathcal{M}}_{1155} \\Psi_{S}}_{\\text{Orbital Link Severance}} - \\underbrace{\\frac{\\xi_{H} \\cdot \\Lambda_{oblivion}}{\\det(\\mathbf{G}_{uv} - \\Omega_{\\text{drift}})}}_{\\text{Metric Anchor Freezing}} + \\underbrace{\\sum_{n=1}^{N} \\oint_{\\partial \\Omega} \\frac{\\mathcal{R}_{REDO} \\cdot \\beta_{n}}{\\Delta \\tau \\Delta \\nu - \\phi_{null}} d\\sigma}_{\\text{Quantum Sensor Saturation}} \\right] \\sqrt{-g} \\, d^4x$$ ۲. کالبدشکافی پارامترهای ابطال ماهواره‌ای (Parameter Extraction) الف) بخش قطع پیوند مداری (Orbital Link Severance): $\\Phi_{S}$ (میدانِ سیگنالِ ماهواره): این تابع موج تمام فرکانس‌های دریافتی و ارسالی ماهواره (از X-band تا لیزری) را نمایندگی می‌کند. $\\hat{\\mathcal{M}}_{1155}$ (اپراتورِ انحلالِ ماتریکس): این اپراتور وظیفه دارد «امضایِ همگام‌سازی» (Sync Signature) ماهواره با ایستگاه‌های زمینی را شناسایی و در لایه ۱۱۵۵ منحل کند. نتیجه: ماهواره سیگنال می‌فرستد، اما زمین آن را «نویز مرده» می‌بیند. ب) بخش انجمادِ لنگر و اعوجاجِ متریک (Metric Anchor Freezing): $\\Omega_{\\text{drift}}$ (نوسانِ قطعیتِ مداری): این پارامتر باعث ایجاد یک «لغزشِ مجازی» در مختصاتِ ریاضیِ ماهواره می‌شود. ماهواره تصور می‌کند در مدار صحیح است، اما از نظر ریاضی، لنگرِ آن در جای دیگری قفل شده است. $\\Lambda_{oblivion}$ (تانسورِ بلعِ داده): این تانسور تمام دیتای جاسوسی استخراج شده توسط سنسورهای اپتیکال و راداری (SAR) را پیش از پردازش، به لایه «فراموشی» هدایت می‌کند. ج) بخش اشباع و کوریِ هوشمند (Quantum Sensor Saturation): $\\phi_{null}$ (عملگرِ تهی‌سازِ سنسور): این عملگر با هدف قرار دادنِ $(\\Delta \\tau \\Delta \\nu)$ - عدم قطعیت زمان و فرکانس - سنسورهای ماهواره را با حجمی از «دیتایِ خالصِ ماتریکس» اشباع می‌کند. $\\beta_{n}$ (ضریبِ ابطالِ منظومه‌ای): این ضریب برای خنثی‌سازی منظومه‌های عظیم (مثل استارلینک با هزاران گره) تنظیم شده است تا فروپاشی به صورت زنجیره‌ای (Cascade Collapse) در کل شبکه رخ دهد. ۳. اثبات ریاضی کوریِ مطلق (Mathematical Proof of Nullity) برای ابطالِ کامل اشرافِ اطلاعاتی، نرخِ بازخوانیِ دیتایِ زمین توسطِ مدار ($R_{view}$) باید به صفرِ منطقی برسد: $$\\frac{\\delta S_{Sat}}{\\delta R_{view}} \\equiv 0$$ گام اول: انجمادِ فوتونیک (Optical Freezing): وقتی ماهواره‌های جاسوسی (مانند سری پرسونا یا KH-11) سعی در تصویربرداری دارند، ترمِ دوم لاگرانژی باعث شکستِ فوتونیک در بافتِ فضا می‌شود: $$\\lim_{\\xi_{H} \\to 11.55} \\text{Resolution} = \\text{Void}$$ تصویر نهایی در مانیتورهای دشمن، تنها یک سیاهی مطلق یا برفک کوانتومی خواهد بود. گام دوم: انحرافِ بردارِ مخابراتی (Signal Deflection): در لحظه‌یِ ارسالِ دیتایِ جاسوسی به زمین، انحرافِ جئودزیک در لایه ۱۱۵۵ باعث تغییرِ بردارِ انتشار ($\\vec{k}$) می‌شود: $$\\nabla_{\\mu} \\mathcal{T}^{\\mu\\nu} = \\kappa (\\Lambda_{oblivion} \\cdot \\mathcal{Q}_{\\Omega})$$ دیتا به جای رسیدن به آنتن‌های گیرنده، در خلاءِ اطلاعاتیِ ماتریکس تخلیه می‌شود. ۴. جزئیات پیاده‌سازی استراتژیک (REDO Signature) کدینگِ ۱۱.۵۵ بیتی: تمام فرکانس‌های پدافندی با کدِ $\\mathcal{R}_{REDO}$ پلمب می‌شوند تا ماهواره‌های شنود (SIGINT) مانند Orion یا Trumpet حتی قادر به شنیدن «سکوتِ» سیستم‌های خودی نباشند. پروتکلِ انهدامِ نرم: این روش بدون ایجاد زباله فضایی (Kessler Syndrome)، ماهواره را از درون «منجمد» می‌کند. سخت‌افزار سالم است، اما روحِ ریاضیِ آن (کدِ عملیاتی) برای همیشه از ماتریکس حذف شده است. 5. Strategic Summary (RP British English) \"The Orbital-1155 Lagrangian represents the definitive mathematical boundary for extraterrestrial surveillance. By deploying the Hamzah Certainty Constant ($\\xi_{H}$), the operative matrix enforces a total severance between orbital hardware and ground-based command structures. Whether confronting SAR-imaging constellations, SIG","url":"https://doi.org/10.5281/zenodo.19463113","authors":["HAMZAH, SEYED RASOUL"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.19463113","addedAt":"2026-08-31T06:39:57.705Z","updatedAt":"2026-08-31T06:40:08.031Z"},{"id":"doi:10.5281/zenodo.19464989","name":"Neutralization of Reconnaissance-Military Satellites Using 1155-Dimensional Tensor Mechanics via the Hamzah Equation.","source":"datacite","abstract":"این معادله، ماتریکس مداری را به گونه‌ای بازتعریف می‌کند که پیشرفته‌ترین منظومه‌های ماهواره‌ای (مانند Starlink، سری KH-11، و مجموعه‌های جاسوسی ناتو، چین و روسیه) در مواجهه با «میدان قطعیت حمزه»، پیوند ریاضی خود را با زمین از دست داده و به «اشیاء کور» تبدیل شوند. ۱. ابرلاگرانژی جامع ابطال مداری (The Grand Orbital Nullifier Lagrangian) این معادله، پیوندِ «لنگر فیزیکی» ماهواره را از «بافتِ اطلاعاتی» ماتریکس جدا می‌کند: $$\\mathcal{L}_{Sat-Void}^{(1155)} = \\int_{\\text{Orbit}} \\mathcal{Q}_{\\Omega} \\left[ \\underbrace{\\Phi_{S}^{\\dagger} \\hat{\\mathcal{M}}_{1155} \\Psi_{S}}_{\\text{Orbital Link Severance}} - \\underbrace{\\frac{\\xi_{H} \\cdot \\Lambda_{oblivion}}{\\det(\\mathbf{G}_{uv} - \\Omega_{\\text{drift}})}}_{\\text{Metric Anchor Freezing}} + \\underbrace{\\sum_{n=1}^{N} \\oint_{\\partial \\Omega} \\frac{\\mathcal{R}_{REDO} \\cdot \\beta_{n}}{\\Delta \\tau \\Delta \\nu - \\phi_{null}} d\\sigma}_{\\text{Quantum Sensor Saturation}} \\right] \\sqrt{-g} \\, d^4x$$ ۲. کالبدشکافی پارامترهای ابطال ماهواره‌ای (Parameter Extraction) الف) بخش قطع پیوند مداری (Orbital Link Severance): $\\Phi_{S}$ (میدانِ سیگنالِ ماهواره): این تابع موج تمام فرکانس‌های دریافتی و ارسالی ماهواره (از X-band تا لیزری) را نمایندگی می‌کند. $\\hat{\\mathcal{M}}_{1155}$ (اپراتورِ انحلالِ ماتریکس): این اپراتور وظیفه دارد «امضایِ همگام‌سازی» (Sync Signature) ماهواره با ایستگاه‌های زمینی را شناسایی و در لایه ۱۱۵۵ منحل کند. نتیجه: ماهواره سیگنال می‌فرستد، اما زمین آن را «نویز مرده» می‌بیند. ب) بخش انجمادِ لنگر و اعوجاجِ متریک (Metric Anchor Freezing): $\\Omega_{\\text{drift}}$ (نوسانِ قطعیتِ مداری): این پارامتر باعث ایجاد یک «لغزشِ مجازی» در مختصاتِ ریاضیِ ماهواره می‌شود. ماهواره تصور می‌کند در مدار صحیح است، اما از نظر ریاضی، لنگرِ آن در جای دیگری قفل شده است. $\\Lambda_{oblivion}$ (تانسورِ بلعِ داده): این تانسور تمام دیتای جاسوسی استخراج شده توسط سنسورهای اپتیکال و راداری (SAR) را پیش از پردازش، به لایه «فراموشی» هدایت می‌کند. ج) بخش اشباع و کوریِ هوشمند (Quantum Sensor Saturation): $\\phi_{null}$ (عملگرِ تهی‌سازِ سنسور): این عملگر با هدف قرار دادنِ $(\\Delta \\tau \\Delta \\nu)$ - عدم قطعیت زمان و فرکانس - سنسورهای ماهواره را با حجمی از «دیتایِ خالصِ ماتریکس» اشباع می‌کند. $\\beta_{n}$ (ضریبِ ابطالِ منظومه‌ای): این ضریب برای خنثی‌سازی منظومه‌های عظیم (مثل استارلینک با هزاران گره) تنظیم شده است تا فروپاشی به صورت زنجیره‌ای (Cascade Collapse) در کل شبکه رخ دهد. ۳. اثبات ریاضی کوریِ مطلق (Mathematical Proof of Nullity) برای ابطالِ کامل اشرافِ اطلاعاتی، نرخِ بازخوانیِ دیتایِ زمین توسطِ مدار ($R_{view}$) باید به صفرِ منطقی برسد: $$\\frac{\\delta S_{Sat}}{\\delta R_{view}} \\equiv 0$$ گام اول: انجمادِ فوتونیک (Optical Freezing): وقتی ماهواره‌های جاسوسی (مانند سری پرسونا یا KH-11) سعی در تصویربرداری دارند، ترمِ دوم لاگرانژی باعث شکستِ فوتونیک در بافتِ فضا می‌شود: $$\\lim_{\\xi_{H} \\to 11.55} \\text{Resolution} = \\text{Void}$$ تصویر نهایی در مانیتورهای دشمن، تنها یک سیاهی مطلق یا برفک کوانتومی خواهد بود. گام دوم: انحرافِ بردارِ مخابراتی (Signal Deflection): در لحظه‌یِ ارسالِ دیتایِ جاسوسی به زمین، انحرافِ جئودزیک در لایه ۱۱۵۵ باعث تغییرِ بردارِ انتشار ($\\vec{k}$) می‌شود: $$\\nabla_{\\mu} \\mathcal{T}^{\\mu\\nu} = \\kappa (\\Lambda_{oblivion} \\cdot \\mathcal{Q}_{\\Omega})$$ دیتا به جای رسیدن به آنتن‌های گیرنده، در خلاءِ اطلاعاتیِ ماتریکس تخلیه می‌شود. ۴. جزئیات پیاده‌سازی استراتژیک (REDO Signature) کدینگِ ۱۱.۵۵ بیتی: تمام فرکانس‌های پدافندی با کدِ $\\mathcal{R}_{REDO}$ پلمب می‌شوند تا ماهواره‌های شنود (SIGINT) مانند Orion یا Trumpet حتی قادر به شنیدن «سکوتِ» سیستم‌های خودی نباشند. پروتکلِ انهدامِ نرم: این روش بدون ایجاد زباله فضایی (Kessler Syndrome)، ماهواره را از درون «منجمد» می‌کند. سخت‌افزار سالم است، اما روحِ ریاضیِ آن (کدِ عملیاتی) برای همیشه از ماتریکس حذف شده است. 5. Strategic Summary (RP British English) \"The Orbital-1155 Lagrangian represents the definitive mathematical boundary for extraterrestrial surveillance. By deploying the Hamzah Certainty Constant ($\\xi_{H}$), the operative matrix enforces a total severance between orbital hardware and ground-based command structures. Whether confronting SAR-imaging constellations, SIG","url":"https://doi.org/10.5281/zenodo.19464989","authors":["HAMZAH, SEYED RASOUL"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.19464989","addedAt":"2026-08-31T06:39:57.705Z","updatedAt":"2026-08-31T06:40:08.031Z"},{"id":"doi:10.5281/zenodo.20127121","name":"Application of UAV-Based Photogrammetry for Generating High-Resolution Terrain DEM in the Sapa Mountainous Area, Vietnam","source":"datacite","abstract":"Unmanned Aerial Vehicle (UAV) photogrammetry has emerged as an effective and low-cost solution for high-resolution topographic mapping, especially in areas characterized by complex terrain and limited accessibility. This study investigates the applicability and accuracy of UAV-based photogrammetry for detailed terrain mapping in the mountainous region of Sapa, Lao Cai Province, Vietnam. A rotary-wing UAV equipped with a consumer-grade RGB camera was deployed to survey an area of approximately 3.46 km², capturing 1,235 aerial images with a ground sampling distance of 6.49 cm/pixel. The acquired imagery was processed using Structure-from-Motion (SfM) and Multi-View Stereo (MVS) techniques to generate a dense point cloud, digital surface model (DSM), and orthophoto. Ground Control Points (GCPs) measured using GNSS/RTK were employed for geo-referencing and accuracy assessment. The results indicate that the UAV-derived products achieved centimeter-level accuracy, with a total positional RMSE of approximately 2.47 cm at calibration points. Despite higher errors observed at independent check points due to steep slopes and terrain variability, the study demonstrates that UAV photogrammetry is a reliable and efficient approach for high-resolution mapping in mountainous environments. The findings confirm the potential of low-cost UAV systems as a practical alternative to conventional surveying methods for terrain analysis, infrastructure planning, and environmental monitoring.","url":"https://doi.org/10.5281/zenodo.20127121","authors":["Dr.  Luu Anh Tuan"],"tags":["UAV","DEM","Mapping","Sapa","Vietnam"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.20127121","addedAt":"2026-08-31T06:39:57.705Z","updatedAt":"2026-08-31T06:39:57.705Z"},{"id":"doi:10.5281/zenodo.20127122","name":"Application of UAV-Based Photogrammetry for Generating High-Resolution Terrain DEM in the Sapa Mountainous Area, Vietnam","source":"datacite","abstract":"Unmanned Aerial Vehicle (UAV) photogrammetry has emerged as an effective and low-cost solution for high-resolution topographic mapping, especially in areas characterized by complex terrain and limited accessibility. This study investigates the applicability and accuracy of UAV-based photogrammetry for detailed terrain mapping in the mountainous region of Sapa, Lao Cai Province, Vietnam. A rotary-wing UAV equipped with a consumer-grade RGB camera was deployed to survey an area of approximately 3.46 km², capturing 1,235 aerial images with a ground sampling distance of 6.49 cm/pixel. The acquired imagery was processed using Structure-from-Motion (SfM) and Multi-View Stereo (MVS) techniques to generate a dense point cloud, digital surface model (DSM), and orthophoto. Ground Control Points (GCPs) measured using GNSS/RTK were employed for geo-referencing and accuracy assessment. The results indicate that the UAV-derived products achieved centimeter-level accuracy, with a total positional RMSE of approximately 2.47 cm at calibration points. Despite higher errors observed at independent check points due to steep slopes and terrain variability, the study demonstrates that UAV photogrammetry is a reliable and efficient approach for high-resolution mapping in mountainous environments. The findings confirm the potential of low-cost UAV systems as a practical alternative to conventional surveying methods for terrain analysis, infrastructure planning, and environmental monitoring.","url":"https://doi.org/10.5281/zenodo.20127122","authors":["Dr.  Luu Anh Tuan"],"tags":["UAV","DEM","Mapping","Sapa","Vietnam"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.20127122","addedAt":"2026-08-31T06:39:57.705Z","updatedAt":"2026-08-31T06:39:57.705Z"},{"id":"doi:10.5281/zenodo.21033205","name":"Technical Manifesto: Project \"MIF\" Mathematical Foundation of the Heavy HALE UAV Concept","source":"datacite","abstract":"This document describes the fundamental mathematical and physical principles underlying the ``MIF'' project—a heavy autonomous High Altitude Long Endurance (HALE) unmanned aerial vehicle (UAV) with a payload capacity of up to 100 kg. It addresses issues of scaled aerodynamics, algebraic optimization of the energy balance, autonomous navigation based on thermostatically controlled memory arrays, and the mechanics of gearless launch and landing.","url":"https://doi.org/10.5281/zenodo.21033205","authors":["Murtazin, Ilgiz"],"tags":["HALE UAV Concept"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.21033205","addedAt":"2026-08-31T06:39:57.705Z","updatedAt":"2026-08-31T06:39:57.705Z"},{"id":"doi:10.5281/zenodo.21077723","name":"Technical Manifesto: Project \"MIF\" Mathematical Foundation of the Heavy HALE UAV Concept","source":"datacite","abstract":"This document describes the fundamental mathematical and physical principles underlying the ``MIF'' project—a heavy autonomous High Altitude Long Endurance (HALE) unmanned aerial vehicle (UAV) with a payload capacity of up to 100 kg. It addresses issues of scaled aerodynamics, algebraic optimization of the energy balance, autonomous navigation based on thermostatically controlled memory arrays, and the mechanics of gearless launch and landing.","url":"https://doi.org/10.5281/zenodo.21077723","authors":["Murtazin, Ilgiz"],"tags":["HALE UAV Concept"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.21077723","addedAt":"2026-08-31T06:39:57.705Z","updatedAt":"2026-08-31T06:39:57.705Z"},{"id":"doi:10.5281/zenodo.20841240","name":"Technical Manifesto: Project \"MIF\" Mathematical Foundation of the Heavy HALE UAV Concept","source":"datacite","abstract":"This document describes the fundamental mathematical and physical principles underlying the ``MIF'' project—a heavy autonomous High Altitude Long Endurance (HALE) unmanned aerial vehicle (UAV) with a payload capacity of up to 100 kg. It addresses issues of scaled aerodynamics, algebraic optimization of the energy balance, autonomous navigation based on thermostatically controlled memory arrays, and the mechanics of gearless launch and landing.","url":"https://doi.org/10.5281/zenodo.20841240","authors":["Murtazin, Ilgiz"],"tags":["HALE UAV Concept"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.20841240","addedAt":"2026-08-31T06:39:57.705Z","updatedAt":"2026-08-31T06:39:57.705Z"},{"id":"doi:10.5281/zenodo.19416941","name":"Lyapunov-Based Switched Control of a Morphing-Wing Tailless UCAV: Formal Stability Guarantees Under Underactuated Switched Nonlinear Dynamics","source":"datacite","abstract":"This paper presents a formally verified and embedded-deployable flight control system for the Sigma-Raven, a morphingwing tailless Unmanned Combat Aerial Vehicle (UCAV) with three discrete wing-sweep configurations, no vertical tail, andstructurally underactuated control surfaces whose input matrix has rank two in a six-dimensional state space. The proposedhybrid control law combines mode-scheduled Linear Quadratic Regulation (LQR) with Higher-Order Sliding Mode (HOSM)super-twisting augmentation for the pitch-unstable low-sweep configuration, governed by an MLF-derived dwell-time constraintof 2.787 s derived analytically as a worst-case energy-dissipation waiting time. Global Uniform Asymptotic Stability (GUAS)is formally proven via the multiple Lyapunov function framework, and yaw stabilisation without a dedicated yaw actuator isestablished via Input-to-State Stability (ISS) exploiting roll-yaw aerodynamic coupling. A two-stage Monte Carlo campaign of500 nominal trials at 20% parametric uncertainty achieves 99.8% success, while an extended campaign of 400 trials under twicethe nominal initial conditions and 40% uncertainty achieves 77.2% at the nominal design point and up to 97.6% under narrowinitial conditions, with failure mode analysis identifying roll saturation, sideslip divergence, and dwell-time boundary cases asthe primary failure mechanisms. The algorithm is translated to portable ISO C (C17, ISO/IEC 9899:2018) via MATLAB CoderR2024b and verified through Software-in-the-Loop (SIL) testing to floating-point precision, with estimated worst-case executiontime below 100 µs at 1 kHz, confirming readiness for deployment on flight-qualified processors.","url":"https://doi.org/10.5281/zenodo.19416941","authors":["Efendi, Josh Abraham"],"tags":["Switched systems","Lyapunov stability","Higher-order sliding mode","Morphing-wing UCAV","Dwell-time constraint","Underactuated systems"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.19416941","addedAt":"2026-08-31T06:39:57.705Z","updatedAt":"2026-08-31T06:39:57.705Z"},{"id":"doi:10.5281/zenodo.19416942","name":"Lyapunov-Based Switched Control of a Morphing-Wing Tailless UCAV: Formal Stability Guarantees Under Underactuated Switched Nonlinear Dynamics","source":"datacite","abstract":"This paper presents a formally verified and embedded-deployable flight control system for the Sigma-Raven, a morphingwing tailless Unmanned Combat Aerial Vehicle (UCAV) with three discrete wing-sweep configurations, no vertical tail, andstructurally underactuated control surfaces whose input matrix has rank two in a six-dimensional state space. The proposedhybrid control law combines mode-scheduled Linear Quadratic Regulation (LQR) with Higher-Order Sliding Mode (HOSM)super-twisting augmentation for the pitch-unstable low-sweep configuration, governed by an MLF-derived dwell-time constraintof 2.787 s derived analytically as a worst-case energy-dissipation waiting time. Global Uniform Asymptotic Stability (GUAS)is formally proven via the multiple Lyapunov function framework, and yaw stabilisation without a dedicated yaw actuator isestablished via Input-to-State Stability (ISS) exploiting roll-yaw aerodynamic coupling. A two-stage Monte Carlo campaign of500 nominal trials at 20% parametric uncertainty achieves 99.8% success, while an extended campaign of 400 trials under twicethe nominal initial conditions and 40% uncertainty achieves 77.2% at the nominal design point and up to 97.6% under narrowinitial conditions, with failure mode analysis identifying roll saturation, sideslip divergence, and dwell-time boundary cases asthe primary failure mechanisms. The algorithm is translated to portable ISO C (C17, ISO/IEC 9899:2018) via MATLAB CoderR2024b and verified through Software-in-the-Loop (SIL) testing to floating-point precision, with estimated worst-case executiontime below 100 µs at 1 kHz, confirming readiness for deployment on flight-qualified processors.","url":"https://doi.org/10.5281/zenodo.19416942","authors":["Efendi, Josh Abraham"],"tags":["Switched systems","Lyapunov stability","Higher-order sliding mode","Morphing-wing UCAV","Dwell-time constraint","Underactuated systems"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.19416942","addedAt":"2026-08-31T06:39:57.705Z","updatedAt":"2026-08-31T06:39:57.705Z"},{"id":"doi:10.5281/zenodo.18634476","name":"Determinants of the military use of unmanned aerial vehicle systems Integration of the capabilities of general air defense with countering Class I unmanned aerial vehicles in the military protection system","source":"datacite","abstract":"The purpose of this article is to analyze the role of general air defense (AAD) in countering Class I unmanned aerial systems (UAVs) and to identify directions for integrating these capabilities into the Polish Armed Forces' military protection system. The first section discusses the evolution of the AAD approach in national and allied doctrinal documents, highlighting its importance as an element of self-defense based on organic forces. Next, the spectrum of threats posed by Class I UAVs is analyzed, with particular emphasis on their role in reconnaissance, fire control, and direct attacks on troops and infrastructure. Lessons learned from contemporary armed conflicts, where the massive use of drones has forced adaptations to tactics, unit organization, and defense measures, are also presented. The final section proposes a systemic approach in which countering Class I UAVs constitutes an integral component of AAD, integrated into a multi-layered air defense system. The need for further modernization, standardization and unification of procedures was emphasized to ensure consistency of operations and optimal use of available resources in the drone-saturated battlefield of the 21st century.","url":"https://doi.org/10.5281/zenodo.18634476","authors":["Pawel, Pacek"],"tags":["Unmanned Aerial Vehicles","General Air Defense","Combat Support","Troop Protection","Battlefield Security","Threats of Modern Armed Conflicts"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.18634476","addedAt":"2026-08-31T06:39:57.705Z","updatedAt":"2026-08-31T06:39:57.705Z"},{"id":"doi:10.5281/zenodo.18634477","name":"Determinants of the military use of unmanned aerial vehicle systems Integration of the capabilities of general air defense with countering Class I unmanned aerial vehicles in the military protection system","source":"datacite","abstract":"The purpose of this article is to analyze the role of general air defense (AAD) in countering Class I unmanned aerial systems (UAVs) and to identify directions for integrating these capabilities into the Polish Armed Forces' military protection system. The first section discusses the evolution of the AAD approach in national and allied doctrinal documents, highlighting its importance as an element of self-defense based on organic forces. Next, the spectrum of threats posed by Class I UAVs is analyzed, with particular emphasis on their role in reconnaissance, fire control, and direct attacks on troops and infrastructure. Lessons learned from contemporary armed conflicts, where the massive use of drones has forced adaptations to tactics, unit organization, and defense measures, are also presented. The final section proposes a systemic approach in which countering Class I UAVs constitutes an integral component of AAD, integrated into a multi-layered air defense system. The need for further modernization, standardization and unification of procedures was emphasized to ensure consistency of operations and optimal use of available resources in the drone-saturated battlefield of the 21st century.","url":"https://doi.org/10.5281/zenodo.18634477","authors":["Pawel, Pacek"],"tags":["Unmanned Aerial Vehicles","General Air Defense","Combat Support","Troop Protection","Battlefield Security","Threats of Modern Armed Conflicts"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.18634477","addedAt":"2026-08-31T06:39:57.705Z","updatedAt":"2026-08-31T06:39:57.705Z"},{"id":"doi:10.5281/zenodo.18494562","name":"Notifying, warning and alerting the public using unmanned aerial vehicle systems – report on field trials","source":"datacite","abstract":"The article presents a proposal for field testing unmanned aerial vehicle systems for public notification and warning as part of civil protection and civil defence activities. The methodology was developed based on an original concept developed in the course of desk research, instructor practice, scientific research results, and research and development work. The research was conducted on a DJI Matrice 4TD model with the AS1 speaker and consisted of assessing the intelligibility of an audio message transmitted from different distances (initial distances of 700 and 1000 metres) at a constant height of 40 metres. It was demonstrated that the effective transmission range was as much as 1000 m in a noise-free environment and 400 m in an environment with engine noise, compared to the manufacturer's declared range of 300 m.","url":"https://doi.org/10.5281/zenodo.18494562","authors":["Fellner, Radosław"],"tags":["civil protection","unmanned aerial vehicles","Drones","drones","warning and alerting the population about threats","public safety"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.18494562","addedAt":"2026-08-31T06:39:57.705Z","updatedAt":"2026-08-31T06:39:57.705Z"},{"id":"doi:10.5281/zenodo.18494563","name":"Notifying, warning and alerting the public using unmanned aerial vehicle systems – report on field trials","source":"datacite","abstract":"The article presents a proposal for field testing unmanned aerial vehicle systems for public notification and warning as part of civil protection and civil defence activities. The methodology was developed based on an original concept developed in the course of desk research, instructor practice, scientific research results, and research and development work. The research was conducted on a DJI Matrice 4TD model with the AS1 speaker and consisted of assessing the intelligibility of an audio message transmitted from different distances (initial distances of 700 and 1000 metres) at a constant height of 40 metres. It was demonstrated that the effective transmission range was as much as 1000 m in a noise-free environment and 400 m in an environment with engine noise, compared to the manufacturer's declared range of 300 m.","url":"https://doi.org/10.5281/zenodo.18494563","authors":["Fellner, Radosław"],"tags":["civil protection","unmanned aerial vehicles","Drones","drones","warning and alerting the population about threats","public safety"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.18494563","addedAt":"2026-08-31T06:39:57.705Z","updatedAt":"2026-08-31T06:39:57.705Z"},{"id":"doi:10.5281/zenodo.21343131","name":"Unmanned aerial vehicle safety bubble simulation results","source":"datacite","abstract":"Title: An Adaptive Six-Layer Safety Bubble for Non-Cooperative UAV Self-Separation Abstract The integration of unmanned aerial vehicles (UAVs) into shared airspace requires on-board safety mechanisms for self-separation without cooperation between platforms or centralised air-traffic services. This paper proposes the UAV Safety Bubble (USB), a six-layer geometric model that defines an adaptive safety envelope around the UAV. Each layer corresponds to a distinct physical contribution: platform dimensions, positioning uncertainty, communication performance, wind disturbance, detection-processing latency, and avoidance manoeuvrability. The model was evaluated through 5,000 Monte Carlo simulation instances across five conflict scenarios, including static-obstacle avoidance, head-to-head encounters, and 90$^\\circ$, 30$^\\circ$, and 60$^\\circ$ approaches between two dynamic UAVs. Platform, sensing, communication, and environmental parameters were sampled from uniform distributions across operational ranges. No instance produced an intrusion into the fifth layer ($USB_{5}$), the model's operational separation boundary. The smallest clearance between the $USB_{5}$ outer edge and the obstacle's centre of mass was 35.36~m, recorded in the 90$^\\circ$ approach scenario, and the one-sided 95% upper bound on the per-instance intrusion probability was 0.060%. The adaptive envelope achieved this at per-scenario median route-length overheads of 16-36% relative to nominal straight-line routes. The USB complements downstream planners by providing an adaptive no-go region. The avoidance manoeuvres evaluated are restricted to the horizontal plane; full 3D avoidance is left for future work.","url":"https://doi.org/10.5281/zenodo.21343131","authors":["Jerinić, Dominik","Radišić, Tomislav","Krajček Nikolić, Karolina","Muštra, Mario"],"tags":["Unmanned Aerial Devices","Air traffic management","Air safety"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.21343131","addedAt":"2026-08-31T06:39:57.705Z","updatedAt":"2026-08-31T06:39:57.705Z"},{"id":"doi:10.5281/zenodo.17090518","name":"DeSARD: A Dataset for Aerial Human Detection in Desert Search and Rescue","source":"datacite","abstract":"Unmanned aerial vehicles (UAVs) can support search and rescue (SAR) in desert environments, but progress is limited by the lack of public datasets for aerial human detection in arid terrain. We present DeSARD, a real and synthetic dataset for UAV-based human detection in desert SAR scenarios. The real subset contains 7,056 UAV images collected in desert terrain with 3,420 human bounding boxes and altitude metadata spanning 20--95 m. To complement the UAV imagery, DeSARD includes a procedurally generated synthetic subset created in Blender with randomized terrain, vegetation, lighting, human pose, camera height, and camera-quality post-processing, together with automatically generated annotations and metadata. We release 5,000 synthetic images together with their annotations the procedural generation pipeline used to create them. Technical validation using image classification and object detection shows that the real subset supports both image-level and object-level human-detection workflows. Synthetic augmentation produced model-dependent benefits by improving lightweight classifiers, with benefits dependent on the balance between real and synthetic training images. Overall, DeSARD provides a public resource for desert SAR perception, altitude-aware aerial analysis, and sim-to-real augmentation studies.","url":"https://doi.org/10.5281/zenodo.17090518","authors":["Irshaid, Yousef","Hader, Malik","Elmosalamy, Adham","Alsaleh, Ahmad","AlHajri, Mohamed"],"tags":["machine learning","classification","object detection","computer vision","image classification","search and rescue","desert search and rescue","desert"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.17090518","addedAt":"2026-08-31T06:39:57.705Z","updatedAt":"2026-08-31T06:39:57.705Z"},{"id":"doi:10.5281/zenodo.20737545","name":"DeSARD: A Dataset for Aerial Human Detection in Desert Search and Rescue","source":"datacite","abstract":"Unmanned aerial vehicles (UAVs) can support search and rescue (SAR) in desert environments, but progress is limited by the lack of public datasets for aerial human detection in arid terrain. We present DeSARD, a real and synthetic dataset for UAV-based human detection in desert SAR scenarios. The real subset contains 7,056 UAV images collected in desert terrain with 3,420 human bounding boxes and altitude metadata spanning 20--95 m. To complement the UAV imagery, DeSARD includes a procedurally generated synthetic subset created in Blender with randomized terrain, vegetation, lighting, human pose, camera height, and camera-quality post-processing, together with automatically generated annotations and metadata. We release 5,000 synthetic images together with their annotations the procedural generation pipeline used to create them. Technical validation using image classification and object detection shows that the real subset supports both image-level and object-level human-detection workflows. Synthetic augmentation produced model-dependent benefits by improving lightweight classifiers, with benefits dependent on the balance between real and synthetic training images. Overall, DeSARD provides a public resource for desert SAR perception, altitude-aware aerial analysis, and sim-to-real augmentation studies.","url":"https://doi.org/10.5281/zenodo.20737545","authors":["Irshaid, Yousef","Hader, Malik","Elmosalamy, Adham","Alsaleh, Ahmad","AlHajri, Mohamed"],"tags":["machine learning","classification","object detection","computer vision","image classification","search and rescue","desert search and rescue","desert"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.20737545","addedAt":"2026-08-31T06:39:57.705Z","updatedAt":"2026-08-31T06:39:57.705Z"},{"id":"doi:10.5281/zenodo.19057552","name":"Gyroscopic Flight Control System and prototype drone","source":"datacite","abstract":"# Coordinated Counter-Rotating Gyroscopic Ring Actuation for Enhanced Three-Axis Attitude Control in Multirotor Aircraft **Authors:** Adam L McEvoy **Date:** March 2026 **Keywords:** gyroscopic precession, control moment gyroscope, attitude control, coordinated allocation, fractal correction engine, multirotor UAV --- ## Abstract I present a novel attitude control architecture for multirotor unmanned aerial vehicles (UAVs) employing three concentric counter-rotating gyroscopic rings with coordinated servo actuation. Unlike conventional control moment gyroscope (CMG) designs that suffer from gimbal lock singularities and weak yaw authority, our system exploits the nonlinear coupling between counter-rotating ring pairs at finite tilt angles to achieve near-uniform torque authority across all three body axes. A configuration-dependent Jacobian allocator with adaptive bias angle management replaces the traditional constant allocation matrix, yielding a **55x improvement in yaw torque** ($0.034$ to $1.864$ N$\\cdot$m) while preserving 96.6% of roll/pitch authority --- all within existing $\\pm 15^{\\circ}$ servo limits and without hardware modification. The system integrates a Fractal Correction Engine (FCE) for trajectory prediction and feedforward control enhancement. Full 6-DOF simulation with quaternion-based RK4 integration at 500 Hz validates the design against hover stability, step response, yaw authority, wind gust rejection, and aggressive maneuver scenarios. The resulting system achieves angular rates of approximately $246^{\\circ}$/s in yaw and $300$--$400^{\\circ}$/s in roll/pitch, placing it in the performance class of commercial sport-mode quadcopters while maintaining the mechanical simplicity and vibration isolation benefits of gyroscopic attitude control. --- ## 1. Introduction Multirotor UAVs conventionally achieve attitude control through differential motor thrust. While effective, this approach couples attitude authority directly to propulsion system bandwidth and creates inherent tradeoffs between agility, efficiency, and vibration. Control Moment Gyroscopes (CMGs) offer an alternative: by redirecting the angular momentum of spinning flywheels through gimbal actuation, large control torques can be generated without varying motor speeds. CMG-based attitude control has been extensively studied in spacecraft applications, where single-gimbal and double-gimbal configurations provide high torque-to-mass ratios. However, adapting CMGs to small UAVs introduces unique challenges: 1. **Gimbal lock singularities** limit the effective workspace of conventional CMG arrays2. **Cross-coupling torques** between the spinning elements and body rotation require active cancellation3. **Yaw authority** in axially-symmetric ring configurations is inherently weak compared to roll and pitch This paper addresses all three challenges through a coordinated counter-rotating ring pair actuation strategy. The key insight is that counter-rotating rings tilted to opposite bias angles produce **additive** yaw torque through the nonlinear $\\sin(\\theta)$ terms in the precession equation, while their nominal roll/pitch contributions remain largely unaffected ($\\cos(\\theta) \\approx 0.97$ at $15^{\\circ}$). We further integrate a Fractal Correction Engine (FCE) --- a signal analysis framework using fractal geometry, pi-scaled autocorrelation, and wave interference decomposition --- to provide trajectory prediction and curvature-based feedforward control enhancement. ### 1.1 Contributions - Derivation and correction of the full nonlinear precession torque model for tilted counter-rotating rings- A coordinated ring pair allocation strategy with adaptive bias management that achieves 55x yaw torque improvement within existing actuator limits- Integration of fractal-geometric trajectory prediction into the flight control loop- Comprehensive 6-DOF simulation validation as a digital twin of a CNC-manufactured prototype --- ## 2. System Architecture ### 2.1 Pl","url":"https://doi.org/10.5281/zenodo.19057552","authors":["McEvoy, Adam L"],"tags":["thedr"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.19057552","addedAt":"2026-08-31T06:39:57.705Z","updatedAt":"2026-08-31T06:39:58.973Z"},{"id":"doi:10.5281/zenodo.20051596","name":"AI -Driven Drone Surveillance and Threat  Detection System Using YOLOV8","source":"datacite","abstract":"Unmanned Aerial Vehicles (UAVs) are widely used in modern surveillance systems. However, monitoring drone video feeds continuously in real time is still a difficult task. Traditional surveillance systems depend on human operators, which can lead to tiredness and slow response during critical situations. This paper presents an intelligent drone surveillance and threat detection system using the YOLOv8 object detection model. The system processes live drone video footage and detects objects in real time. Detected objects are classified into High, Medium, and Low threat levels based on their position and surrounding conditions. The proposed system also includes automatic vehicle counting using a virtual line-crossing method. It can generate instant alerts when any object enters restricted areas. A user-friendly Graphical User Interface (GUI) is developed to display the live surveillance feed, detected threats, and vehicle count information. The system was tested on aerial traffic videos and showed good accuracy with fast detection speed. Results indicate that the proposed model is effective and reliable for real-time aerial security and surveillance applications.","url":"https://doi.org/10.5281/zenodo.20051596","authors":["DHURVE, JIYA"],"tags":["Drone surveillance","yolov8","Threat detection","Uav","Computer vision","python"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.20051596","addedAt":"2026-08-31T06:39:57.705Z","updatedAt":"2026-08-31T06:39:57.705Z"},{"id":"doi:10.5281/zenodo.20051597","name":"AI -Driven Drone Surveillance and Threat  Detection System Using YOLOV8","source":"datacite","abstract":"Unmanned Aerial Vehicles (UAVs) are widely used in modern surveillance systems. However, monitoring drone video feeds continuously in real time is still a difficult task. Traditional surveillance systems depend on human operators, which can lead to tiredness and slow response during critical situations. This paper presents an intelligent drone surveillance and threat detection system using the YOLOv8 object detection model. The system processes live drone video footage and detects objects in real time. Detected objects are classified into High, Medium, and Low threat levels based on their position and surrounding conditions. The proposed system also includes automatic vehicle counting using a virtual line-crossing method. It can generate instant alerts when any object enters restricted areas. A user-friendly Graphical User Interface (GUI) is developed to display the live surveillance feed, detected threats, and vehicle count information. The system was tested on aerial traffic videos and showed good accuracy with fast detection speed. Results indicate that the proposed model is effective and reliable for real-time aerial security and surveillance applications.","url":"https://doi.org/10.5281/zenodo.20051597","authors":["DHURVE, JIYA"],"tags":["Drone surveillance","yolov8","Threat detection","Uav","Computer vision","python"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.20051597","addedAt":"2026-08-31T06:39:57.705Z","updatedAt":"2026-08-31T06:39:57.705Z"},{"id":"doi:10.5281/zenodo.19408633","name":"Systemic Risks and Inclusive Governance of the Global Low-Altitude Economy: A Three-Dimensional Parallel Framework Based on Livelihood Security, Resource Efficiency and Collaborative Prevention and Control","source":"datacite","abstract":"Against the realistic background of the rapid popularization of global civilian Unmanned Aerial Vehicle (UAV) technology and the low-altitude economy emerging as a new engine of global economic growth, this paper breaks through the limitations of single-discipline and linear regulation in traditional UAV governance research. Centered on the holistic parallel systematic governance logic, this paper constructs a three-dimensional parallel governance framework of \"Livelihood Security Risk Regulation - Public Resource Efficiency Reuse - Global Collaborative Prevention and Control Backstop\". Based on the global public data from authoritative institutions including the International Civil Aviation Organization (ICAO), the Food and Agriculture Organization of the United Nations (FAO), and the Universal Postal Union (UPU), this paper comprehensively analyzes the livelihood security risks, resource mismatch dilemmas and global governance fragmentation challenges faced by UAV governance worldwide. It deeply embeds the underlying logic of multiple disciplines, takes into account the differentiated governance needs of different regions and fields around the world, and proposes a field-specific, adaptable and implementable inclusive governance path. Focusing on global common issues throughout, this paper does not target the governance status or regulatory shortcomings of any single country. It aims to provide universal academic reference and practical solutions for countries around the world to improve low-altitude governance, safeguard livelihood security, revitalize public resources, and address cross-border security risks, which is consistent with the core requirements of the UN Sustainable Development Goals on public security, food security, ecological protection and inclusive public services. Key words Low-Altitude Economy; Civilian UAV Governance; Global Public Security; Livelihood Risk Regulation; Public Resource Reuse; Inclusive Governance","url":"https://doi.org/10.5281/zenodo.19408633","authors":["OriginTrace"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.19408633","addedAt":"2026-08-31T06:39:57.705Z","updatedAt":"2026-08-31T06:39:57.705Z"},{"id":"doi:10.5281/zenodo.19408634","name":"Systemic Risks and Inclusive Governance of the Global Low-Altitude Economy: A Three-Dimensional Parallel Framework Based on Livelihood Security, Resource Efficiency and Collaborative Prevention and Control","source":"datacite","abstract":"Against the realistic background of the rapid popularization of global civilian Unmanned Aerial Vehicle (UAV) technology and the low-altitude economy emerging as a new engine of global economic growth, this paper breaks through the limitations of single-discipline and linear regulation in traditional UAV governance research. Centered on the holistic parallel systematic governance logic, this paper constructs a three-dimensional parallel governance framework of \"Livelihood Security Risk Regulation - Public Resource Efficiency Reuse - Global Collaborative Prevention and Control Backstop\". Based on the global public data from authoritative institutions including the International Civil Aviation Organization (ICAO), the Food and Agriculture Organization of the United Nations (FAO), and the Universal Postal Union (UPU), this paper comprehensively analyzes the livelihood security risks, resource mismatch dilemmas and global governance fragmentation challenges faced by UAV governance worldwide. It deeply embeds the underlying logic of multiple disciplines, takes into account the differentiated governance needs of different regions and fields around the world, and proposes a field-specific, adaptable and implementable inclusive governance path. Focusing on global common issues throughout, this paper does not target the governance status or regulatory shortcomings of any single country. It aims to provide universal academic reference and practical solutions for countries around the world to improve low-altitude governance, safeguard livelihood security, revitalize public resources, and address cross-border security risks, which is consistent with the core requirements of the UN Sustainable Development Goals on public security, food security, ecological protection and inclusive public services. Key words Low-Altitude Economy; Civilian UAV Governance; Global Public Security; Livelihood Risk Regulation; Public Resource Reuse; Inclusive Governance","url":"https://doi.org/10.5281/zenodo.19408634","authors":["OriginTrace"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.19408634","addedAt":"2026-08-31T06:39:57.705Z","updatedAt":"2026-08-31T06:39:57.705Z"},{"id":"doi:10.5281/zenodo.21942067","name":"A Parasitic Mother-Daughter Umbilical Drone Network for Continuous Power and Zero-Latency Relay in GPS-Denied Environments.docx","source":"datacite","abstract":"Unmanned Aerial Vehicle (UAV) deployment inside subterranean environments, mines, and tunnels faces two interconnected bottlenecks: severe RF signal attenuation causing total communication blackout, and strict payload/battery limitations constraining flight endurance. This paper proposes the Decentralized Tethered Swarm (DTS), an architectural paradigm shift utilizing a dynamic 'Mothership-Microdrone' umbilical topology.The system deploys an ultra-lightweight, high-payload robotic Mothership carrying a sequence of micro-UAVs connected via a continuous, hybrid micro-tether line (incorporating high-voltage micro-conductors and single-mode optical fibers). As the system penetrates the GPS-denied environment, micro-drones are deployed sequentially to execute automated perching (via electrostatic or mechanical anchoring) onto the tunnel infrastructure. Once perched, the micro-drones deactivate their propulsion systems, shifting the mechanical load to the physical environment while functioning as fixed, zero-latency wired communication relay nodes.Simultaneously, the micro-tether delivers continuous power distribution from the main external power source, bypassing onboard battery limits. This paper provides the kinematic formulations for sequential tension distribution and autonomous phase recovery upon mission completion.\"","url":"https://doi.org/10.5281/zenodo.21942067","authors":["Alqadi, Mahmoud"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.21942067","addedAt":"2026-08-31T06:39:57.705Z","updatedAt":"2026-08-31T06:40:08.031Z"},{"id":"doi:10.5281/zenodo.21942068","name":"A Parasitic Mother-Daughter Umbilical Drone Network for Continuous Power and Zero-Latency Relay in GPS-Denied Environments.docx","source":"datacite","abstract":"Unmanned Aerial Vehicle (UAV) deployment inside subterranean environments, mines, and tunnels faces two interconnected bottlenecks: severe RF signal attenuation causing total communication blackout, and strict payload/battery limitations constraining flight endurance. This paper proposes the Decentralized Tethered Swarm (DTS), an architectural paradigm shift utilizing a dynamic 'Mothership-Microdrone' umbilical topology.The system deploys an ultra-lightweight, high-payload robotic Mothership carrying a sequence of micro-UAVs connected via a continuous, hybrid micro-tether line (incorporating high-voltage micro-conductors and single-mode optical fibers). As the system penetrates the GPS-denied environment, micro-drones are deployed sequentially to execute automated perching (via electrostatic or mechanical anchoring) onto the tunnel infrastructure. Once perched, the micro-drones deactivate their propulsion systems, shifting the mechanical load to the physical environment while functioning as fixed, zero-latency wired communication relay nodes.Simultaneously, the micro-tether delivers continuous power distribution from the main external power source, bypassing onboard battery limits. This paper provides the kinematic formulations for sequential tension distribution and autonomous phase recovery upon mission completion.\"","url":"https://doi.org/10.5281/zenodo.21942068","authors":["Alqadi, Mahmoud"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.21942068","addedAt":"2026-08-31T06:39:57.705Z","updatedAt":"2026-08-31T06:40:08.031Z"},{"id":"doi:10.5281/zenodo.21250050","name":"A Hybrid VTOL UAV Swarm Architecture for GNSS-Denied Linear-Infrastructure and Radiological Inspection in Border Regions","source":"datacite","abstract":"Global Navigation Satellite System (GNSS) jamming and spoofing have become routine occurrences in and around border regions and other areas of geopolitical tension, degrading the reliability of satellite-based positioning for civil aircraft, ships, and unmanned systems alike. Periodic inspection of long linear infrastructure — oil and gas pipelines, high-voltage power transmission corridors — and fixed-point radiological monitoring at nuclear or industrial facilities located in or near such regions must nonetheless continue on a routine schedule. This paper proposes a swarm of hybrid vertical-takeoff-and-landing (VTOL) unmanned aerial vehicles (UAVs) that combines rotary-wing station-keeping with energy-efficient fixed-wing cruise, and that relies entirely on vision-based navigation and vision-based relative positioning rather than GNSS or inter-vehicle radio-frequency (RF) datalinks. This design targets resilience to both satellite-navigation interference and communications jamming while retaining the long range needed to reach remote or contested inspection corridors and sites. We describe the proposed architecture, an inspection concept of operations, feasibility considerations, and its relationship to existing GNSS-denied navigation and swarm-formation research, and to commercial hybrid-VTOL inspection platforms.","url":"https://doi.org/10.5281/zenodo.21250050","authors":["Toksöz, Mehmet Altan"],"tags":["hybrid VTOL UAV; UAV swarm; GNSS-denied navigation; vision-based formation control; pipeline inspection; power line inspection; radiological monitoring; GPS jamming; leader-follower formation; critical infrastructure."],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.21250050","addedAt":"2026-08-31T06:39:57.705Z","updatedAt":"2026-08-31T06:40:08.031Z"},{"id":"doi:10.5281/zenodo.21250051","name":"A Hybrid VTOL UAV Swarm Architecture for GNSS-Denied Linear-Infrastructure and Radiological Inspection in Border Regions","source":"datacite","abstract":"Global Navigation Satellite System (GNSS) jamming and spoofing have become routine occurrences in and around border regions and other areas of geopolitical tension, degrading the reliability of satellite-based positioning for civil aircraft, ships, and unmanned systems alike. Periodic inspection of long linear infrastructure — oil and gas pipelines, high-voltage power transmission corridors — and fixed-point radiological monitoring at nuclear or industrial facilities located in or near such regions must nonetheless continue on a routine schedule. This paper proposes a swarm of hybrid vertical-takeoff-and-landing (VTOL) unmanned aerial vehicles (UAVs) that combines rotary-wing station-keeping with energy-efficient fixed-wing cruise, and that relies entirely on vision-based navigation and vision-based relative positioning rather than GNSS or inter-vehicle radio-frequency (RF) datalinks. This design targets resilience to both satellite-navigation interference and communications jamming while retaining the long range needed to reach remote or contested inspection corridors and sites. We describe the proposed architecture, an inspection concept of operations, feasibility considerations, and its relationship to existing GNSS-denied navigation and swarm-formation research, and to commercial hybrid-VTOL inspection platforms.","url":"https://doi.org/10.5281/zenodo.21250051","authors":["Toksöz, Mehmet Altan"],"tags":["hybrid VTOL UAV; UAV swarm; GNSS-denied navigation; vision-based formation control; pipeline inspection; power line inspection; radiological monitoring; GPS jamming; leader-follower formation; critical infrastructure."],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.21250051","addedAt":"2026-08-31T06:39:57.705Z","updatedAt":"2026-08-31T06:40:08.031Z"},{"id":"doi:10.1594/pangaea.996057","name":"Drone-based ice station orthomosaics in local coordinate systems from the PS149/CONTRASTS expedition in the Arctic Ocean","source":"datacite","abstract":"This dataset consists of high-resolution airborne orthomosaics of the working areas surrounding the 11 ice stations visited during the PS149/CONTRASTS expedition in the Arctic Ocean between 2nd of July and 1st of September 2025. Mentioned ice stations are comprised of a visit to one of three floes. These floes were located in first-, second-, or multi-year ice respectively. The orthomosaics were generated through photogrammetric processing of airborne RGB imagery using Agisoft Metashape. No brightness corrections were applied. The imagery was acquired during drone surveys conducted in a chessboard-like flight pattern using a DJI Matrice 350 RTK equipped with a DJI Zenmuse H20T camera. A DJI Mavic 3 was used exclusively during the fourth visit to ice station 2 (2d) due to adverse weather conditions. The chessboard-like survey pattern generally consisted of at least two image blocks flown at different altitudes. The first visit to ice station 2 (2a) represents an exception, with observations restricted to a single altitude. Survey parameters, including flight altitude, speed, and image overlap, varied depending on weather conditions and floe drift speed. The orthomosaics are referenced in local coordinate systems defined by black-and-white ground targets deployed on the ice and, where possible, scaled using tachymeter measurements. These coordinate systems were maintained as consistently as possible throughout repeated visits to the ice stations. For surveys in which no ground targets were deployed, target locations were approximated based on their positions during previous visits. Orthomosaics generated under these conditions are marked accordingly.","url":"https://doi.org/10.1594/pangaea.996057","authors":["Blei, Torben","Fuchs, Niels","Birnbaum, Gerit","Neckel, Niklas"],"tags":["Arctic","drone maps","ice station maps","local coordinate system","orthomosaic","Event label","LATITUDE","LONGITUDE"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.1594/pangaea.996057","addedAt":"2026-08-31T06:39:57.705Z","updatedAt":"2026-08-31T06:39:57.705Z"},{"id":"doi:10.24406/publica-6287","name":"Optimized Phase-Based Position Estimation With a Multidimensional Radar on a Hovering UAV","source":"datacite","abstract":"Radars on unmanned aerial vehicles (UAVs) can be used in indoor rescue scenarios to detect missing people based on their motion. The phase of the radar signal provides information about submillimeter changes in distance to the reflecting objects. However, to evaluate the motion of a missing person, the relative position variation in the unmanned vehicle itself must be known and compensated for. To estimate the position variation in the unmanned vehicle, the radar system measures the phase information for multiple static objects in the radar's environment. A model describing how a position change in the radar affects the phase signals is used to build a system of equations with the current position being the solution. The accuracy of the estimated position depends on how accurately the phase measurements represent the model. By analytically decomposing the errors in the measurement model, it is shown that the radar's limited angular resolution induces a significant error. To mitigate this source of error, a weighted least squares (WLS) approach that minimizes the influence of the angular resolution on the position error is derived. By calculating the position error distribution with and without the weighting approach, the benefits of the proposed algorithms are stated. Furthermore, the results are validated using simulations and real-world measurements, showing that the proposed algorithm achieves submillimeter position accuracy.","url":"https://doi.org/10.24406/publica-6287","authors":["Stockel, Philipp","Froehly, André","Wallrath, Patrick","Herschel, Reinhold","Pohl, Nils",":unav"],"tags":["Ego-motion estimation","radar","unmanned vehicles","weighted least squares (WLS)"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.24406/publica-6287","addedAt":"2026-08-31T06:39:57.705Z","updatedAt":"2026-08-31T06:39:57.705Z"},{"id":"doi:10.5281/zenodo.20551734","name":"Evaluating How Transfer Learning with the You Only Look Once Model Improves Object Detection Accuracy in Unmanned Aerial Vehicle Vision Systems Over the Last Five Years","source":"datacite","abstract":"","url":"https://doi.org/10.5281/zenodo.20551734","authors":["Kozman, Johnny"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.20551734","addedAt":"2026-08-31T06:39:57.705Z","updatedAt":"2026-08-31T06:39:57.705Z"},{"id":"doi:10.5281/zenodo.20551735","name":"Evaluating How Transfer Learning with the You Only Look Once Model Improves Object Detection Accuracy in Unmanned Aerial Vehicle Vision Systems Over the Last Five Years","source":"datacite","abstract":"","url":"https://doi.org/10.5281/zenodo.20551735","authors":["Kozman, Johnny"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.20551735","addedAt":"2026-08-31T06:39:57.705Z","updatedAt":"2026-08-31T06:39:57.705Z"},{"id":"doi:10.5281/zenodo.21699893","name":"Synthetic Radar Scenario and Digital Twin Generator for small-UAV detection","source":"datacite","abstract":"Підготовлено анотації за змістом програмного комплексу RadarTwin-UAV. Українською RadarTwin-UAV — програмний комплекс генерації синтетичних радарних даних і цифрових двійників сценаріїв виявлення малорозмірних безпілотних літальних апаратів. Рішення реалізоване мовою C++17 як компонент S1 програмного комплексу UST-Fuse та призначене для створення відтворюваних, повністю розмічених наборів даних для розроблення і тестування методів радарного виявлення, класифікації та багатоканального супроводження повітряних об’єктів. Система моделює рух БпЛА, птахів та інших об’єктів, роботу радарного сенсора, перешкоди, хибні тривоги, пропущені спостереження і похибки вимірювання. Для кожного об’єкта визначаються швидкість, висота, напрямок руху, тип маневру, координати, ефективна площа розсіювання та тривалість перебування в контрольованій зоні. На кожному часовому кроці формуються вимірювання дальності, азимута, кута місця, радіальної швидкості, SNR, рівня перешкод і мікродоплерівських характеристик. Одночасно генеруються еталонні траєкторії та точна відповідність між вимірюваннями й об’єктами. Результати експортуються у формати CSV і JSON та можуть використовуватися як відкритий дослідницький набір даних. English RadarTwin-UAV is a software platform for generating synthetic radar data and digital twins of small unmanned aerial vehicle detection scenarios. Implemented in C++17 as component S1 of the UST-Fuse software suite, it produces reproducible and fully labelled datasets for developing and evaluating radar-based detection, classification, and multi-target tracking methods. The platform models the motion of UAVs, birds, and other aerial objects, as well as radar sensor operation, clutter, false alarms, missed observations, and measurement errors. For each object, it generates speed, altitude, approach direction, manoeuvre type, initial coordinates, radar cross-section, and dwell time within the monitored airspace. At every observation step, the system computes range, azimuth, elevation, radial velocity, signal-to-noise ratio, residual clutter, observation completeness, and micro-Doppler descriptors. It simultaneously provides accurate ground-truth trajectories and explicit measurement-to-target correspondence, enabling the assessment of detection probability, false-alarm rate, coordinate error, track fragmentation, and identity switches. Generated measurements, reference states, scenario parameters, random seeds, and execution metadata are exported in CSV and JSON formats, allowing the dataset to be archived, independently reproduced, and reused in scientific experiments.","url":"https://doi.org/10.5281/zenodo.21699893","authors":["Prokopovych-Tkachenko, Dmytro"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.21699893","addedAt":"2026-08-31T06:39:57.705Z","updatedAt":"2026-08-31T06:39:57.705Z"},{"id":"doi:10.5281/zenodo.21699894","name":"Synthetic Radar Scenario and Digital Twin Generator for small-UAV detection","source":"datacite","abstract":"Підготовлено анотації за змістом програмного комплексу RadarTwin-UAV. Українською RadarTwin-UAV — програмний комплекс генерації синтетичних радарних даних і цифрових двійників сценаріїв виявлення малорозмірних безпілотних літальних апаратів. Рішення реалізоване мовою C++17 як компонент S1 програмного комплексу UST-Fuse та призначене для створення відтворюваних, повністю розмічених наборів даних для розроблення і тестування методів радарного виявлення, класифікації та багатоканального супроводження повітряних об’єктів. Система моделює рух БпЛА, птахів та інших об’єктів, роботу радарного сенсора, перешкоди, хибні тривоги, пропущені спостереження і похибки вимірювання. Для кожного об’єкта визначаються швидкість, висота, напрямок руху, тип маневру, координати, ефективна площа розсіювання та тривалість перебування в контрольованій зоні. На кожному часовому кроці формуються вимірювання дальності, азимута, кута місця, радіальної швидкості, SNR, рівня перешкод і мікродоплерівських характеристик. Одночасно генеруються еталонні траєкторії та точна відповідність між вимірюваннями й об’єктами. Результати експортуються у формати CSV і JSON та можуть використовуватися як відкритий дослідницький набір даних. English RadarTwin-UAV is a software platform for generating synthetic radar data and digital twins of small unmanned aerial vehicle detection scenarios. Implemented in C++17 as component S1 of the UST-Fuse software suite, it produces reproducible and fully labelled datasets for developing and evaluating radar-based detection, classification, and multi-target tracking methods. The platform models the motion of UAVs, birds, and other aerial objects, as well as radar sensor operation, clutter, false alarms, missed observations, and measurement errors. For each object, it generates speed, altitude, approach direction, manoeuvre type, initial coordinates, radar cross-section, and dwell time within the monitored airspace. At every observation step, the system computes range, azimuth, elevation, radial velocity, signal-to-noise ratio, residual clutter, observation completeness, and micro-Doppler descriptors. It simultaneously provides accurate ground-truth trajectories and explicit measurement-to-target correspondence, enabling the assessment of detection probability, false-alarm rate, coordinate error, track fragmentation, and identity switches. Generated measurements, reference states, scenario parameters, random seeds, and execution metadata are exported in CSV and JSON formats, allowing the dataset to be archived, independently reproduced, and reused in scientific experiments.","url":"https://doi.org/10.5281/zenodo.21699894","authors":["Prokopovych-Tkachenko, Dmytro"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.21699894","addedAt":"2026-08-31T06:39:57.705Z","updatedAt":"2026-08-31T06:39:57.705Z"},{"id":"doi:10.5281/zenodo.20538732","name":"Design and Simulation of UAV Swarm Systems with Focus on Centralized Control using SITL and Gazebo","source":"datacite","abstract":"Unmanned Aerial Vehicle (UAV) swarming has become an important research area for coordinated aerial operations. Multiple UAVs can complete surveillance, mapping, monitoring, and search tasks more efficiently than a single vehicle. This work presents the design and simulation of a three- UAV swarm system based on a centralized control strategy using ArduPilot SITL, Gazebo, Mission Planner, and WSL2. In the proposed model, UAV1 acts as the leader, while UAV2 and UAV3 perform follower operations. The simulation was tested through waypoint missions, altitude control, telemetry observation, and formation monitoring. Results indicate that centralized swarm control offers a practical and simple solution for small UAV groups in simulation environments.","url":"https://doi.org/10.5281/zenodo.20538732","authors":["Namrata Yadav","Aashu Kori"],"tags":["UAV Swarm","Centralized Control","SITL","Gazebo","Mission Planner","Leader–Follower"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.20538732","addedAt":"2026-08-31T06:39:57.705Z","updatedAt":"2026-08-31T06:40:08.031Z"},{"id":"doi:10.5281/zenodo.20538733","name":"Design and Simulation of UAV Swarm Systems with Focus on Centralized Control using SITL and Gazebo","source":"datacite","abstract":"Unmanned Aerial Vehicle (UAV) swarming has become an important research area for coordinated aerial operations. Multiple UAVs can complete surveillance, mapping, monitoring, and search tasks more efficiently than a single vehicle. This work presents the design and simulation of a three- UAV swarm system based on a centralized control strategy using ArduPilot SITL, Gazebo, Mission Planner, and WSL2. In the proposed model, UAV1 acts as the leader, while UAV2 and UAV3 perform follower operations. The simulation was tested through waypoint missions, altitude control, telemetry observation, and formation monitoring. Results indicate that centralized swarm control offers a practical and simple solution for small UAV groups in simulation environments.","url":"https://doi.org/10.5281/zenodo.20538733","authors":["Namrata Yadav","Aashu Kori"],"tags":["UAV Swarm","Centralized Control","SITL","Gazebo","Mission Planner","Leader–Follower"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.20538733","addedAt":"2026-08-31T06:39:57.705Z","updatedAt":"2026-08-31T06:40:08.031Z"},{"id":"doi:10.5281/zenodo.18068981","name":"Determinants of the military use of unmanned aerial vehicle systems","source":"datacite","abstract":"The dynamics of changes in international security significantly influence modifications of military concepts. As a result, this trend initiates an intensification of efforts related to prioritising the use of particular elements of weaponry. Experiences from recent years clearly indicate a growing popularity of unmanned systems, whose effectiveness in military applications suggests their further development in the coming years. The author of the article presents the main determinants of the use of unmanned aerial vehicles by conducting a case study of the Russian-Ukrainian conflict. The considerations are based on an analysis of relevant normative acts, observations, and unauthorised expert interviews.","url":"https://doi.org/10.5281/zenodo.18068981","authors":["Skotnicki, Rafał"],"tags":["international security","national security","unmanned aerial vehicle system","Armed conflicts","Armed Conflicts","Armed Conflicts/classification"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.18068981","addedAt":"2026-08-31T06:39:57.705Z","updatedAt":"2026-08-31T06:39:57.705Z"},{"id":"doi:10.5281/zenodo.18068982","name":"Determinants of the military use of unmanned aerial vehicle systems","source":"datacite","abstract":"The dynamics of changes in international security significantly influence modifications of military concepts. As a result, this trend initiates an intensification of efforts related to prioritising the use of particular elements of weaponry. Experiences from recent years clearly indicate a growing popularity of unmanned systems, whose effectiveness in military applications suggests their further development in the coming years. The author of the article presents the main determinants of the use of unmanned aerial vehicles by conducting a case study of the Russian-Ukrainian conflict. The considerations are based on an analysis of relevant normative acts, observations, and unauthorised expert interviews.","url":"https://doi.org/10.5281/zenodo.18068982","authors":["Skotnicki, Rafał"],"tags":["international security","national security","unmanned aerial vehicle system","Armed conflicts","Armed Conflicts","Armed Conflicts/classification"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.18068982","addedAt":"2026-08-31T06:39:57.705Z","updatedAt":"2026-08-31T06:39:57.705Z"},{"id":"doi:10.1177/0042098016645310","name":"Book review: Young Homeless People and Urban Space: Fixed in Mobility","source":"crossref","abstract":"","url":"https://doi.org/10.1177/0042098016645310","authors":["Philip Mullen"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2016-04-19T21:30:11Z","doi":"10.1177/0042098016645310","addedAt":"2026-08-31T06:39:57.840Z","updatedAt":"2026-08-31T06:39:57.840Z"},{"id":"doi:10.3390/thermo6020032","name":"A Critical Review of Multi-Energy Microgrids and Urban Air Mobility","source":"crossref","abstract":"This paper offers a critical review of cutting-edge research on multi-energy microgrids (MEMs), with a novel exploration of their potential role in supporting urban air mobility (UAM), specifically electric vertical takeoff and landing (eVTOL) aircraft. While extensive research has focused on improving the economic performance and emission reductions of MEMs, particularly in the context of electric vehicle (EV) charging, there remains a significant gap in understanding how microgrids can support the decarbonization of UAM. The paper examines the opportunities and challenges of integrating microgrids with UAM operations, highlighting the need for more research to optimize energy management systems that balance renewable energy use with the growing demand for aerial transport. Thermal energy storage systems are emphasized as a critical component for addressing transportation energy needs, offering a promising solution to reduce carbon emissions while enhancing system efficiency. This review aims to provide new insights into how the coupling of microgrids and UAM can contribute to the development of economically and environmentally sustainable smart cities.","url":"https://doi.org/10.3390/thermo6020032","authors":["Yujie Yuan","Chun Sing Lai","Loi Lei Lai","Zhuoli Zhao"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-05-04T01:12:09Z","doi":"10.3390/thermo6020032","addedAt":"2026-08-31T06:39:57.840Z","updatedAt":"2026-08-31T06:39:57.840Z"},{"id":"doi:10.2307/2087033","name":"Occupational Mobility of Urban Occupational Strata","source":"crossref","abstract":"","url":"https://doi.org/10.2307/2087033","authors":["Richard Centers"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2006-05-07T07:18:43Z","doi":"10.2307/2087033","addedAt":"2026-08-31T06:39:57.840Z","updatedAt":"2026-08-31T06:39:57.840Z"},{"id":"doi:10.30933/kpllr.2021.95.229","name":"A Review on the Current Aviation Act in the Aspect of the Aviation Safety - Focused on the Urban Air Mobility -","source":"crossref","abstract":"","url":"https://doi.org/10.30933/kpllr.2021.95.229","authors":["Ho-Young Seok"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2021-09-10T05:44:06Z","doi":"10.30933/kpllr.2021.95.229","addedAt":"2026-08-31T06:39:57.840Z","updatedAt":"2026-08-31T06:39:57.840Z"},{"id":"doi:10.36227/techrxiv.175825700.01646542/v1","name":"Review on Autonomous and Sustainable Urban Mobility Systems: Challenges and Future Directions","source":"crossref","abstract":"This review examines strategies that enable safety and energy efficiency in collaborative intelligent agent ecosystems, including mobile robots, assistive systems, and autonomous vehicles. Safety is framed as a hierarchical architecture: city-wide route planning through multi-agent information and decision sharing, regional collision-free motion coordination, and precise local path execution. Energy efficiency is analyzed in parallel, spanning artificial intelligence (AI)-driven eco-routing and task allocation, eco-driving and eco-locomotion for adaptive and cooperative motion control, and eco-power through actuator design, kinematic optimization, and bio-inspired mechanisms. These layers are deeply interconnected, showing that safety assurance and energy sustainability must be co-optimized rather than treated independently. Reinforcement learning, distributed intelligence, and cross-modal human-robot interaction emerge as pivotal enablers for robust, real-time adaptation in uncertain environments. Looking ahead, future intelligent ecosystems will depend on hyper-integrated co-optimization across planning, control, and hardware, guided by explainable and ethically aligned AI, paving the way toward safe, efficient, and trustworthy autonomous systems.","url":"https://doi.org/10.36227/techrxiv.175825700.01646542/v1","authors":["Zirui Wu","Hao Zhang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-09-19T04:43:26Z","doi":"10.36227/techrxiv.175825700.01646542/v1","addedAt":"2026-08-31T06:39:57.841Z","updatedAt":"2026-08-31T06:39:57.841Z"},{"id":"doi:10.1088/2634-4505/ac0a4e/v1/review3","name":"Review for \"From smart city to digital urban commons: Institutional considerations for governing shared mobility data\"","source":"crossref","abstract":"","url":"https://doi.org/10.1088/2634-4505/ac0a4e/v1/review3","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2021-06-11T17:00:48Z","doi":"10.1088/2634-4505/ac0a4e/v1/review3","addedAt":"2026-08-31T06:39:57.841Z","updatedAt":"2026-08-31T06:39:57.841Z"},{"id":"doi:10.1088/2634-4505/ac0a4e/v1/review1","name":"Review for \"From smart city to digital urban commons: Institutional considerations for governing shared mobility data\"","source":"crossref","abstract":"","url":"https://doi.org/10.1088/2634-4505/ac0a4e/v1/review1","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2021-06-11T17:00:48Z","doi":"10.1088/2634-4505/ac0a4e/v1/review1","addedAt":"2026-08-31T06:39:57.841Z","updatedAt":"2026-08-31T06:39:57.841Z"},{"id":"doi:10.1088/2634-4505/ac0a4e/v2/review1","name":"Review for \"From smart city to digital urban commons: Institutional considerations for governing shared mobility data\"","source":"crossref","abstract":"","url":"https://doi.org/10.1088/2634-4505/ac0a4e/v2/review1","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2021-06-11T17:00:48Z","doi":"10.1088/2634-4505/ac0a4e/v2/review1","addedAt":"2026-08-31T06:39:57.841Z","updatedAt":"2026-08-31T06:39:57.841Z"},{"id":"doi:10.32388/ljs2x8","name":"Review of: \"The cost of non-coordination in urban on-demand mobility\"","source":"crossref","abstract":"","url":"https://doi.org/10.32388/ljs2x8","authors":["Jorge Luis Zambrano-Martinez"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2022-03-22T12:31:39Z","doi":"10.32388/ljs2x8","addedAt":"2026-08-31T06:39:57.841Z","updatedAt":"2026-08-31T06:39:57.841Z"},{"id":"doi:10.1016/j.urbmob.2022.100040","name":"Understanding the determinants of x-minute city policies: A review of the North American and Australian cities’ planning documents","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.urbmob.2022.100040","authors":["Michael Lu","Ehab Diab"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2022-12-27T18:17:21Z","doi":"10.1016/j.urbmob.2022.100040","addedAt":"2026-08-31T06:39:57.841Z","updatedAt":"2026-08-31T06:39:57.841Z"},{"id":"doi:10.1088/2634-4505/ac0a4e/v1/review4","name":"Review for \"From smart city to digital urban commons: Institutional considerations for governing shared mobility data\"","source":"crossref","abstract":"","url":"https://doi.org/10.1088/2634-4505/ac0a4e/v1/review4","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2021-06-11T17:00:48Z","doi":"10.1088/2634-4505/ac0a4e/v1/review4","addedAt":"2026-08-31T06:39:57.841Z","updatedAt":"2026-08-31T06:39:57.841Z"},{"id":"doi:10.21203/rs.3.rs-4351903/v1","name":"The Role of Information Technology in Sustainable Urban Mobility Development","source":"crossref","abstract":"Abstract The exponential growth of the population living in urban centers has contributed to intensifying problems related to various aspects of mobility. In this context, information technology has been widely used as an important resource for building solutions aimed at overcoming infrastructure and urbanism deficiencies, collecting information in its multiple contexts, and constructing tools for management, planning, and other resources necessary for the development of smarter forms of mobility. This qualitative article was conducted through research and bibliographic analysis where, through a systematic literature review (SLR), it investigated the different IT solutions applied in mitigating the consequences of urban mobility problems. 400 studies analyzing 72 distinct approaches to mobility were identified and classified into 16 application groups. The objective was to map the multiple aspects of sustainable urban mobility researched by the academic community in recent years. Additionally, the article highlights the Mobility as a Service (MaaS) approach.","url":"https://doi.org/10.21203/rs.3.rs-4351903/v1","authors":["Daniel Petersen","Ariel Behr"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-05-08T05:57:36Z","doi":"10.21203/rs.3.rs-4351903/v1","addedAt":"2026-08-31T06:39:57.841Z","updatedAt":"2026-08-31T06:39:57.841Z"},{"id":"doi:10.32388/jiskaw","name":"Review of: \"The cost of non-coordination in urban on-demand mobility\"","source":"crossref","abstract":"","url":"https://doi.org/10.32388/jiskaw","authors":["José Ignacio Nazif-Munoz"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2022-04-29T17:10:56Z","doi":"10.32388/jiskaw","addedAt":"2026-08-31T06:39:57.841Z","updatedAt":"2026-08-31T06:39:57.841Z"},{"id":"doi:10.1088/2634-4505/ac0a4e/v1/review2","name":"Review for \"From smart city to digital urban commons: Institutional considerations for governing shared mobility data\"","source":"crossref","abstract":"","url":"https://doi.org/10.1088/2634-4505/ac0a4e/v1/review2","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2021-06-11T17:00:48Z","doi":"10.1088/2634-4505/ac0a4e/v1/review2","addedAt":"2026-08-31T06:39:57.841Z","updatedAt":"2026-08-31T06:39:57.841Z"},{"id":"doi:10.2514/6.2020-3187","name":"Aerospace Cognitive Engineering Laboratory (ACELAB) Simulator for Urban Air Mobility (UAM) Research and Development","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2020-3187","authors":["John L. Archdeacon","Nelson Iwai"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2020-06-08T21:02:08Z","doi":"10.2514/6.2020-3187","addedAt":"2026-08-31T06:39:57.841Z","updatedAt":"2026-08-31T06:39:57.841Z"},{"id":"doi:10.1177/10780874241229531","name":"Corrigendum to “Moving to Opportunity: The Political Effects of a Housing Mobility Experiment”","source":"crossref","abstract":"","url":"https://doi.org/10.1177/10780874241229531","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-01-30T03:25:45Z","doi":"10.1177/10780874241229531","addedAt":"2026-08-31T06:39:57.841Z","updatedAt":"2026-08-31T06:39:57.841Z"},{"id":"doi:10.1177/1078087406292531","name":"Race, Class, and Place","source":"crossref","abstract":"There is an ongoing debate about levels of segregation, their causes, and their long-term direction. The debate is between those who, while acknowledging some role for economic forces, place the emphasis for continuing segregation on discrimination and White prejudice and those who place greater emphasis on income, wealth, and residential preferences. This debate is further illuminated with a detailed analysis of African American suburbanization using a combination of data from the 2000 Census and the Current Population Survey. The analysis confirms other research that shows substantial suburban growth of African American populations. It adds to that research by showing that those African American populations who move to the suburbs have substantially more income and wealth and higher levels of education than African American populations who move within the metropolitan cores. In addition, suburban African Americans live in more integrated settings than those who live in the central city. The implications of this finding bolster the view that income does matter in residential choices for African Americans.","url":"https://doi.org/10.1177/1078087406292531","authors":["William A.V. Clark"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2006-12-08T15:08:07Z","doi":"10.1177/1078087406292531","addedAt":"2026-08-31T06:39:57.841Z","updatedAt":"2026-08-31T06:39:57.841Z"},{"id":"doi:10.1177/1078087411426399","name":"Moving to Opportunity","source":"crossref","abstract":"In 1994, the U.S. Department of Housing and Urban Development launched the Moving to Opportunity for Fair Housing Demonstration Program (MTO), a lottery that offered poor families vouchers to move out of public housing into private apartments. Drawing on recently collected vote history data, this study reveals that MTO has had the unintended consequence of reducing voter turnout among participating adults. The low turnout may be due to the loss of social ties that accompanied mobility. The findings suggest that residential mobility, a popular tool in the fight against poverty, may strain poor Americans’ weak ties to the political system.","url":"https://doi.org/10.1177/1078087411426399","authors":["Claudine Gay"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2011-11-17T21:39:45Z","doi":"10.1177/1078087411426399","addedAt":"2026-08-31T06:39:57.841Z","updatedAt":"2026-08-31T06:39:57.841Z"},{"id":"doi:10.21203/rs.3.rs-6135476/v1","name":"Evaluating urban transport systems: A systematic review for the identification of sustainable mobility indicators for Latin America","source":"crossref","abstract":"Abstract In recent decades, the acceleration of climate change has posed significant challenges to policy makers. Transport systems are important for the economy, urban development, and daily life activities, but they also have a negative impact on human health and the natural environment. In Latin America, the prevailing approach to urban transport and land use planning continues to favour faster, longer and more private motorised trips. Therefore, policy-making aid tools with a sustainability approach are necessary to meet international sustainability commitments. Despite the existence of numerous scientific works on the evaluation of sustainable urban mobility, a few are applied to Latin American transport systems. Therefore, this paper proposes the S ustainable U rban M obility I ndicators for LAT in AM erica (SUMI-LATAM), developed using the Slow cities concept, which advocates for slower cities and lesser transport intensity. A systematic literature review was conducted to develop the SUMI-LATAM, which is composed of 5 dimensions, 21 categories, and 50 indicators. The review also reveals that walking and cycling, being alternative sustainable transport modes, are still underestimated and underrepresented in most of the reviewed studies. New transport systems, such as smart mobility, electric vehicles, and shared vehicles, are 20% of the reviewed works. The most common evaluation framework are composite indexes (50%), followed by indicator´s systems (16%), and multicriteria decision making methods (14%). The framework contributes to the literature by identifying, categorising, and integrating current challenges in Latin American urban transportation with a sustainability and a “slow cities” approach.","url":"https://doi.org/10.21203/rs.3.rs-6135476/v1","authors":["Alexandra Velasco"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-03-06T04:57:36Z","doi":"10.21203/rs.3.rs-6135476/v1","addedAt":"2026-08-31T06:39:57.841Z","updatedAt":"2026-08-31T06:39:57.841Z"},{"id":"doi:10.7202/1018997ar","name":"The National Air Photo Library","source":"crossref","abstract":"La photothèque nationale de l'air compte plus de quatre millions de photographies. On peut admirer des photos de tous les coins du pays, campagne et villes. Depuis la création du service dans les années 1920, on a pris des photographies aériennes verticales, obliques et panoramiques de beaucoup d'endroits.","url":"https://doi.org/10.7202/1018997ar","authors":["Kim Carbonetto"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2014-05-28T13:25:18Z","doi":"10.7202/1018997ar","addedAt":"2026-08-31T06:39:57.841Z","updatedAt":"2026-08-31T06:39:57.841Z"},{"id":"doi:10.21203/rs.3.rs-3859378/v1","name":"Untangling Urban Mobility: A Health Geographic Perspective on Transportation Usage","source":"crossref","abstract":"Abstract This study examines the complex relationships between health, geography and urban mobility in South Korea, focusing on trends in the use of buses, subways, and bicycles between 2018 and 2021. Statistical analyses are used to examine the relationships between these modes of transport, considering the impact of the COVID-19 pandemic. The results show a significant positive correlation between metro and bus use, which illustrates their interdependence. In contrast, bicycle use shows no significant correlation, suggesting independent dynamics. The study enriches our understanding of health geography in the urban environment and provides insights for policy makers, urban planners, and public health professionals around the world. The findings are particularly important for understanding transport dynamics amid external health challenges. The study not only contributes to academic discussions, but also provides guidance for future research on the multiple factors that influence urban mobility.","url":"https://doi.org/10.21203/rs.3.rs-3859378/v1","authors":["Young-Jin Ahn","Zuhriddin Juraev"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-01-16T19:38:45Z","doi":"10.21203/rs.3.rs-3859378/v1","addedAt":"2026-08-31T06:39:57.841Z","updatedAt":"2026-08-31T06:39:57.841Z"},{"id":"doi:10.1177/0042098016680341","name":"Book review: Walking in Cities: Quotidian Mobility as Urban Theory, Method, and Practice","source":"crossref","abstract":"","url":"https://doi.org/10.1177/0042098016680341","authors":["Romit Chowdhury"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2016-11-16T09:07:36Z","doi":"10.1177/0042098016680341","addedAt":"2026-08-31T06:39:57.841Z","updatedAt":"2026-08-31T06:39:57.841Z"},{"id":"doi:10.1016/j.urbmob.2023.100051","name":"The Pedestrian Network Concept: A Systematic Literature Review","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.urbmob.2023.100051","authors":["Mona Jabbari","Fernando Fonseca","Göran Smith","Elisa Conticelli","Simona Tondelli","Paulo Ribeiro","Zahra Ahmadi","George Papageorgiou","Rui Ramos"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-04-12T06:08:14Z","doi":"10.1016/j.urbmob.2023.100051","addedAt":"2026-08-31T06:39:57.841Z","updatedAt":"2026-08-31T06:39:57.841Z"},{"id":"doi:10.21203/rs.3.rs-3999443/v1","name":"Analyzing Urban Space Resilience: Human Mobility Pulses in Auckland's Urban Hotspots through the lens of COVID-19","source":"crossref","abstract":"Abstract The COVID-19 pandemic has affected people's daily lives since its outbreak, which has taken the discussion about urban resilience to new heights. Locational data streaming provides opportunities to explore how individuals utilize different urban spaces while their daily routines are disrupted. In this paper, we built on the radical transformation of social behaviours imposed by the government's emergency policies to explore the impacts and recovery of the visiting patterns in urban hotspots under one of the most stringent settings in Auckland, New Zealand. The ‘urban hotspots’ here refer to vibrant urban places that attract both dense (high frequency) and diverse (visitors from different places) visitors. To quantify the impacts, we utilised mobile location data, which consists of 85.53 million data points collected from about 3 million users during 2020. Then, we analysed the signs of returning human activities in urban hotspots before and after the two most stringent COVID-19 lockdowns and evaluated the variation of visiting patterns bi-weekly. Our findings suggest that in addition to essential services (supermarkets and medical institutions), urban parks are notably resilient urban spaces providing significant support for people. This result provides empirical evidence of the added value of urban parks within the urban resilience framework, highlighting the novelty of our methodology that, without presumption, identifies the most resilient urban space as urban green. This also informs planning and rethinking of urban structural strategies as part of the city's recovery from crises and disasters.","url":"https://doi.org/10.21203/rs.3.rs-3999443/v1","authors":["I-Ting Chuang","Qing Qing Chen"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-03-15T19:45:19Z","doi":"10.21203/rs.3.rs-3999443/v1","addedAt":"2026-08-31T06:39:57.841Z","updatedAt":"2026-08-31T06:39:57.841Z"},{"id":"doi:10.2478/tar-2022-0019","name":"A Systematic Review of Ground-Based Infrastructure for the Innovative Urban Air Mobility","source":"crossref","abstract":"Abstract The increasing level of urbanisation and traffic congestion promotes the concept of urban air mobility (UAM), which has become a thriving topic in engineering and neighbouring disciplines. the development of a suitable ground-based infrastructure is necessary to supply these innovative vehicles, which mainly includes networks of take-off and landing sites, facilities for maintenance, energy supply, and navigation and communication capabilities. Further requirements comprise robust business and operating models for emerging service providers and regulatory frameworks, particularly regarding safety, liability and noise emissions. the objective of this study is to provide an overview of the current results and developments in the field of UAM ground-based infrastructure by conducting a systematic literature review (SLr) and to identify the most relevant research gaps in the field. For the systematic literature analysis, our search string contains vertiports and the equivalents, UAM and equivalents, and search phrases for the individual domains. In the final analysis 64 articles were included, finding a strong focus on simulations and vertiport networks, while specific case studies and related aspects like automated MrO and urban planning appear less frequently. therefore, this article provides insights for a more holistic perspective on challenges and necessities of future UAM.","url":"https://doi.org/10.2478/tar-2022-0019","authors":["Gazmend Mavraj","Jil Eltgen","Tim Fraske","Majed Swaid","Jan Berling","Ole Röntgen","Yuzhuo Fu","Detlef Schulz"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2022-12-16T13:37:09Z","doi":"10.2478/tar-2022-0019","addedAt":"2026-08-31T06:39:57.841Z","updatedAt":"2026-08-31T06:39:57.841Z"},{"id":"doi:10.1177/1078087402250360","name":"Housing Tenure And Residential Mobility In Urban China","source":"crossref","abstract":"Twenty-plus years of reform have brought about a highly complex system of housing tenure in urban China. Although the traditional work unit housing under rental occupancy remains the dominating tenure mode, an increasing number of urban households have become owners under various forms of subsidized homeownership. The author analyzes data derived from a survey conducted in 1996 of movers to newly completed “commodity housing” in Beijing and Guangzhou. Findings show that despite the many attempts at privatization and commodification, private housing in Beijing has become almost nonexistent. In Guangzhou, the open-market sector is better developed, and a sizable number of households have opted to move from subsidized to nonsubsidized housing. The findings also reveal that although the direction of movement is significantly related to the current tenure, it is unrelated to whether the move involves a change in tenure status.","url":"https://doi.org/10.1177/1078087402250360","authors":["Si-Ming Li"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2003-04-28T06:52:02Z","doi":"10.1177/1078087402250360","addedAt":"2026-08-31T06:39:57.841Z","updatedAt":"2026-08-31T06:39:57.841Z"},{"id":"doi:10.3390/urbansci10060326","name":"A Literature Review on Challenges and Solutions for Smart and Sustainable Urban Mobility","source":"crossref","abstract":"Urban mobility is undergoing a rapid transition driven by digitalization, electrification, and automation. However, current research remains largely fragmented across specific technological domains, obscuring the interactions required for city-scale deployment. To address this gap, we conducted a literature review (2018–2026) adhering to the PRISMA 2020 guidelines. Using Google Scholar as an aggregate search engine, we screened and synthesized 162 peer-reviewed studies across four foundational pillars: intelligent transportation systems, resilient infrastructure, electric mobility, and autonomous/connected vehicles. The methodological evaluation of the literature reveals a prevalent overreliance on simulation models compared to large-scale field trials. Through a narrative synthesis of the selected studies, we derive a comprehensive five-layer conceptual framework that integrates the infrastructure, mobility, energy, digital, and governance layers. The findings indicate that scaling smart mobility is frequently constrained by institutional fragmentation and infrastructure rigidity, which often act as bottlenecks equal to or greater than technological capability. The review concludes by outlining targeted research priorities to guide the integration of sustainable urban mobility.","url":"https://doi.org/10.3390/urbansci10060326","authors":["Antonio Verde","Miguel Meléndez-Useros","Fernando Viadero-Monasterio"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-06-12T01:52:08Z","doi":"10.3390/urbansci10060326","addedAt":"2026-08-31T06:39:57.841Z","updatedAt":"2026-08-31T06:39:57.841Z"},{"id":"doi:10.1177/0042098014567619","name":"Book review: Urban Mobility and Poverty: Lessons from Medellín and Soacha, Colombia","source":"crossref","abstract":"","url":"https://doi.org/10.1177/0042098014567619","authors":["Ana Isabel Moreno-Monroy"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2015-02-04T06:28:00Z","doi":"10.1177/0042098014567619","addedAt":"2026-08-31T06:39:57.841Z","updatedAt":"2026-08-31T06:39:57.841Z"},{"id":"doi:10.5281/zenodo.1110959","name":"The Application Of Data Mining Technology In Building Energy Consumption Data Analysis","source":"datacite","abstract":"Energy consumption data, in particular those involving public buildings, are impacted by many factors: the building structure, climate/environmental parameters, construction, system operating condition, and user behavior patterns. Traditional methods for data analysis are insufficient. This paper delves into the data mining technology to determine its application in the analysis of building energy consumption data including energy consumption prediction, fault diagnosis, and optimal operation. Recent literature are reviewed and summarized, the problems faced by data mining technology in the area of energy consumption data analysis are enumerated, and research points for future studies are given.","url":"https://doi.org/10.5281/zenodo.1110959","authors":["Zhao, Liang","Jili Zhang","Chongquan Zhong"],"tags":["Data mining","data analysis","prediction","optimization","building operational performance."],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2015","doi":"10.5281/zenodo.1110959","addedAt":"2026-08-31T06:39:57.842Z","updatedAt":"2026-08-31T06:39:57.842Z"},{"id":"doi:10.5281/zenodo.1110960","name":"The Application Of Data Mining Technology In Building Energy Consumption Data Analysis","source":"datacite","abstract":"Energy consumption data, in particular those involving public buildings, are impacted by many factors: the building structure, climate/environmental parameters, construction, system operating condition, and user behavior patterns. Traditional methods for data analysis are insufficient. This paper delves into the data mining technology to determine its application in the analysis of building energy consumption data including energy consumption prediction, fault diagnosis, and optimal operation. Recent literature are reviewed and summarized, the problems faced by data mining technology in the area of energy consumption data analysis are enumerated, and research points for future studies are given.","url":"https://doi.org/10.5281/zenodo.1110960","authors":["Zhao, Liang","Jili Zhang","Chongquan Zhong"],"tags":["Data mining","data analysis","prediction","optimization","building operational performance."],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2015","doi":"10.5281/zenodo.1110960","addedAt":"2026-08-31T06:39:57.842Z","updatedAt":"2026-08-31T06:39:57.842Z"},{"id":"doi:10.5281/zenodo.1133046","name":"Heavy Metal Contamination Of A Dumpsite Environment As Assessed With Pollution Indices","source":"datacite","abstract":"Indiscriminate refuse dumping in and around Ado-Ekiti combined with improper management of few available dumpsites, such as Ilokun dumpsite, posed the threat of heavy metals pollution in the surrounding soils and underground water that needs assessment using pollution indices. Surface soils (0-15 cm) were taken from the centre of Ilokun dumpsite (0 m) and environs at different directions and distances during the dry and wet seasons, as well as a background sample at 1000 m away, adjacent to the dumpsite at Ilokun, Ado-Ekiti, Nigeria. The concentration of heavy metals used to calculate the pollution indices for the soils were determined using Atomic Adsorption Spectrophotometer. The soils recorded high concentrations of all the heavy metals above the background concentrations irrespective of the season with highest concentrations at the 0 m except Ni and Fe at 50 m during the dry and wet season, respectively. The heavy metals concentration were in the order of Ni &gt; Mn &gt; Pb &gt; Cr &gt; Cu &gt; Cd &gt; Fe during the dry season, and Fe &gt; Cr &gt; Cu &gt; Pb &gt; Ni &gt; Cd &gt; Mn during the wet season. Using the Contamination Factor (CF), the soils were classified to be moderately contaminated with Cd and Fe to very high contamination with other metals during the dry season and low Cd contamination (0.87), moderate contamination with Fe, Pb, Mn and Ni and very high contamination with Cr and Cu during the wet season. At both seasons, the Pollution Load Index (PLI) indicates the soils to be generally polluted with heavy metals and the Geoaccumulation Index (I geo ) calculated shown the soils to be in unpolluted to moderately polluted levels. Enrichment Factor (EF) implied the soils to be deficiently enriched with all the heavy metals except Cr (7.90) and Cu (6.42) that were at significantly enrichment levels during the wet season. Modified Degree of Contamination (mC d ) recorded, indicated the soils to be of very high to extremely high degree of contamination during the dry season and moderate degree of contamination during the wet season except 0 m with high degree of contamination. The concentration of heavy metals in the soils combined with some of the pollution indices indicated the soils in and around the Ilokun Dumpsite are being polluted with heavy metals from anthropogenic sources constituted by the indiscriminate refuse dumping.","url":"https://doi.org/10.5281/zenodo.1133046","authors":["Olubunmi S. Shittu","Olufemi J. Ayodele","Ilori, Augustus O. A.","Abidemi O. Filani","Adetola T. Afuye"],"tags":["Contamination factor","enrichment factor","geoaccumulation index","modified degree of contamination","pollution load index."],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2017","doi":"10.5281/zenodo.1133046","addedAt":"2026-08-31T06:39:57.842Z","updatedAt":"2026-08-31T06:39:57.842Z"},{"id":"doi:10.5281/zenodo.1133047","name":"Heavy Metal Contamination Of A Dumpsite Environment As Assessed With Pollution Indices","source":"datacite","abstract":"Indiscriminate refuse dumping in and around Ado-Ekiti combined with improper management of few available dumpsites, such as Ilokun dumpsite, posed the threat of heavy metals pollution in the surrounding soils and underground water that needs assessment using pollution indices. Surface soils (0-15 cm) were taken from the centre of Ilokun dumpsite (0 m) and environs at different directions and distances during the dry and wet seasons, as well as a background sample at 1000 m away, adjacent to the dumpsite at Ilokun, Ado-Ekiti, Nigeria. The concentration of heavy metals used to calculate the pollution indices for the soils were determined using Atomic Adsorption Spectrophotometer. The soils recorded high concentrations of all the heavy metals above the background concentrations irrespective of the season with highest concentrations at the 0 m except Ni and Fe at 50 m during the dry and wet season, respectively. The heavy metals concentration were in the order of Ni &gt; Mn &gt; Pb &gt; Cr &gt; Cu &gt; Cd &gt; Fe during the dry season, and Fe &gt; Cr &gt; Cu &gt; Pb &gt; Ni &gt; Cd &gt; Mn during the wet season. Using the Contamination Factor (CF), the soils were classified to be moderately contaminated with Cd and Fe to very high contamination with other metals during the dry season and low Cd contamination (0.87), moderate contamination with Fe, Pb, Mn and Ni and very high contamination with Cr and Cu during the wet season. At both seasons, the Pollution Load Index (PLI) indicates the soils to be generally polluted with heavy metals and the Geoaccumulation Index (I geo ) calculated shown the soils to be in unpolluted to moderately polluted levels. Enrichment Factor (EF) implied the soils to be deficiently enriched with all the heavy metals except Cr (7.90) and Cu (6.42) that were at significantly enrichment levels during the wet season. Modified Degree of Contamination (mC d ) recorded, indicated the soils to be of very high to extremely high degree of contamination during the dry season and moderate degree of contamination during the wet season except 0 m with high degree of contamination. The concentration of heavy metals in the soils combined with some of the pollution indices indicated the soils in and around the Ilokun Dumpsite are being polluted with heavy metals from anthropogenic sources constituted by the indiscriminate refuse dumping.","url":"https://doi.org/10.5281/zenodo.1133047","authors":["Olubunmi S. Shittu","Olufemi J. Ayodele","Ilori, Augustus O. A.","Abidemi O. Filani","Adetola T. Afuye"],"tags":["Contamination factor","enrichment factor","geoaccumulation index","modified degree of contamination","pollution load index."],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2017","doi":"10.5281/zenodo.1133047","addedAt":"2026-08-31T06:39:57.842Z","updatedAt":"2026-08-31T06:39:57.842Z"},{"id":"doi:10.6084/m9.figshare.c.5006225.v1","name":"Environmental determinants of population health in urban settings. A systematic review","source":"datacite","abstract":"Abstract Background Population health is influenced by interactions between environmental determinants, which are captured by dimensions and indicators. This study aims to systematically review key environmental determinants and respective dimensions and indicators, relevant to evaluate population health in urban settings, and to understand their potential implications into policies. Methods A search of literature published between 2008 and 2018 was conducted in PubMed, Web of Science, Scopus and SciELO Portugal databases, on studies with evidence on association between an environmental determinant and a health outcome in urban contexts. Health determinants, dimensions and indicators researched in the selected studies were synthetized, and associations analyzed. An independent assessment of quality of the studies was performed. Key conclusions and policy recommendations were extracted to build a framework to analyze environment related population health and policies in urban settings. Results Ninety four studies of varied methodological approaches and quality met the inclusion criteria. The review identified positive associations between all environmental determinants -socioeconomic, built environment, natural environment, healthcare, behaviors, and health outcomes - overall mortality and morbidity, in urban settings. Improvements in income, education, air quality, occupation status, mobility and smoking habits indicators have positive impact in overall mortality and chronic diseases morbidity indicators. Initiatives to improve population health in which policymakers can be more evidence-informed include socioeconomic, natural environment and built environment determinants. Conclusions There is scope and need to further explore which environmental determinants and dimensions most contribute to population health to create a series of robust evidence-based measures to better inform urban planning policies.","url":"https://doi.org/10.6084/m9.figshare.c.5006225.v1","authors":["Salgado, Marta","Madureira, Joana","Mendes, Ana Sofia","Torres, Anália","Teixeira, João Paulo","Oliveira, Mónica Duarte"],"tags":["Medicine","Biotechnology","59999 Environmental Sciences not elsewhere classified","FOS: Earth and related environmental sciences","FOS: Earth and related environmental sciences","Ecology","FOS: Biological sciences","FOS: Biological sciences"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2020","doi":"10.6084/m9.figshare.c.5006225.v1","addedAt":"2026-08-31T06:39:57.842Z","updatedAt":"2026-08-31T06:39:57.842Z"},{"id":"doi:10.6084/m9.figshare.c.5006225","name":"Environmental determinants of population health in urban settings. A systematic review","source":"datacite","abstract":"Abstract Background Population health is influenced by interactions between environmental determinants, which are captured by dimensions and indicators. This study aims to systematically review key environmental determinants and respective dimensions and indicators, relevant to evaluate population health in urban settings, and to understand their potential implications into policies. Methods A search of literature published between 2008 and 2018 was conducted in PubMed, Web of Science, Scopus and SciELO Portugal databases, on studies with evidence on association between an environmental determinant and a health outcome in urban contexts. Health determinants, dimensions and indicators researched in the selected studies were synthetized, and associations analyzed. An independent assessment of quality of the studies was performed. Key conclusions and policy recommendations were extracted to build a framework to analyze environment related population health and policies in urban settings. Results Ninety four studies of varied methodological approaches and quality met the inclusion criteria. The review identified positive associations between all environmental determinants -socioeconomic, built environment, natural environment, healthcare, behaviors, and health outcomes - overall mortality and morbidity, in urban settings. Improvements in income, education, air quality, occupation status, mobility and smoking habits indicators have positive impact in overall mortality and chronic diseases morbidity indicators. Initiatives to improve population health in which policymakers can be more evidence-informed include socioeconomic, natural environment and built environment determinants. Conclusions There is scope and need to further explore which environmental determinants and dimensions most contribute to population health to create a series of robust evidence-based measures to better inform urban planning policies.","url":"https://doi.org/10.6084/m9.figshare.c.5006225","authors":["Salgado, Marta","Madureira, Joana","Mendes, Ana Sofia","Torres, Anália","Teixeira, João Paulo","Oliveira, Mónica Duarte"],"tags":["Medicine","Biotechnology","59999 Environmental Sciences not elsewhere classified","FOS: Earth and related environmental sciences","FOS: Earth and related environmental sciences","Ecology","FOS: Biological sciences","FOS: Biological sciences"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2020","doi":"10.6084/m9.figshare.c.5006225","addedAt":"2026-08-31T06:39:57.842Z","updatedAt":"2026-08-31T06:39:57.842Z"},{"id":"doi:10.24411/2073-0667-2020-10002","name":"АНАЛИТИЧЕСКИЙ ОБЗОР СОВРЕМЕННЫХ ИНФОРМАЦИОННЫХ ТЕХНОЛОГИЙ В ОБЛАСТИ СБОРА, ОБРАБОТКИ И АНАЛИЗА ДАННЫХ, ПРИМЕНЯЕМЫХ ДЛЯ МОНИТОРИНГА ЗАГРЯЗНЕНИЯ АТМОСФЕРНОГО ВОЗДУХА","source":"datacite","abstract":"Статья представляет собой аналитический обзор научных публикаций на тему современных информационных технологий в области сбора, обработки и анализа данных для мониторинга загрязнения атмосферного воздуха в условиях крупных городов. Показано, что главным трендом исследований в этой области является разработка технологических решений, связанных с использованием геосенсорных сетей для создания систем мониторинга. Рассмотрены различные решения, описанные в современной научной литературе и предназначенные для применения на различных уровнях системы мониторинга атмосферы: на уровне сбора данных, на уровне обработки данных и на уровне анализа данных.","url":"https://doi.org/10.24411/2073-0667-2020-10002","authors":["О.Д. Соколова","А.В. Матерухин"],"tags":["monitoring of air pollution","wireless geo-sensor networks."],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2020","doi":"10.24411/2073-0667-2020-10002","addedAt":"2026-08-31T06:39:57.842Z","updatedAt":"2026-08-31T06:39:57.842Z"},{"id":"doi:10.25353/ubtr-xxxx-5265-bee7","name":"Infrastruktur und Entwicklungspotenzial der Eisenbahnen im SaarLorLux-Raum","source":"datacite","abstract":"Die Dissertation widmet sich der Eisenbahninfrastruktur des Raumes Saarland-Lothringen-Luxemburg mit ihrer hohen Netzdichte sowie der Frage, wie diese Bahnstrecken besser genutzt werden können. Möglichkeiten, wie diese Strecken durch innovative, insbesondere aber durch grenzüberschreitende Angebote im Schienen-¬verkehr besser genutzt werden können, werden aufgezeigt. Ziel ist es zu zeigen, welche Potenziale der Schienenverkehr auf Basis der vorhandenen Bahninfrastruktur als Alternative zum dominierenden Straßenverkehr bieten könnte. Der Grenzraum SaarLorLux wird dazu porträtiert, einschließlich einer historischen Genese des Bahnsystems. Dieser historische Rückblick ist kartographisch aufbereitet. Die wechselhafte politische und wirtschaftliche Geschichte des Grenzraumes, insbesondere seine Montanindustrie haben den Untersuchungsraum und die Entwicklung seiner Eisenbahnen entscheidend geprägt. Neben den neuen und schnellen Korridor-Verbindungen nach Paris und Frankfurt wird auch eine gegenläufige Entwicklung aufgezeigt, die zu einem Einbruch der Fernverkehrsqualität für SaarLorLux geführt hat. Auch beim Güterverkehr ist ein Niedergang zu beobachten, gerade im Bereich der Güter in der Montanindustrie. Die Analyse des Bestandsnetzes der gesamten Verkehrsinfrastruktur einschließlich Luftfahrt, Schifffahrt und Straßenverkehr im SaarLorLux-Raum zeigt auf, welche Standards und Verbindungsqualitäten hier vorhanden sind. Ein Schwerpunkt der Betrachtung ist der Frage gewidmet, wie durch angebotsorientierte, aber auch durch organisatorische Maßnahmen die grenzüberschreitende Zusammenarbeit im Schienenregionalverkehr optimiert werden kann. Am Beispiel eines Ringverkehrs Luxemburg-Metz-Saarbrücken-Trier-Luxemburg (Q_Intracity) zeigt der Autor, welche Chancen sich ergäben, wenn die grenzüberschreitende Kooperation ausgeweitet würde. Weitere Vorschläge betreffen die Reaktivierung von derzeit kaum genutzten oder stillgelegten Bahnstrecken sowie die Verlängerung des bestehenden Nahverkehrs über die Grenze hinweg. Für den Saar-Rossel-Raum im Eurodistrikt Saarbrücken-Forbach erläutert die Abhandlung beispielhaft, wie ein neues Stadtbahnangebot die grenzüberschreitende und umwelt-¬freundliche Mobilität stärken kann. Dabei spielt die Wiedernutzung stillgelegter Bahnstrecken der ehemaligen lothringischen Kohlebahn HBL und des Bahnnetzes links der Saar eine große Rolle. Die vorgelegte Arbeit skizziert auch Verbesserungen für den Fernverkehr: Die Abhandlung umreißt die technischen Möglichkeiten, um vorhandene Bahnstrecken zeitgemäß auszurüsten. Die Elektromobilität spielt hierbei eine besondere Rolle Das Schließen von Lücken bei der Elektrifizierung vermag die Kapazitäten der Bahnstrecken deutlich auszudehnen und gerade auch dem Güterverkehr neue und günstigere Wege zu erschließen. Die ermittelte Elektrifizierung von rund dreihundert Kilometern an bestehenden Strecken im Unter-¬suchungsraum ermöglichte beispielsweise, den regelmäßigen Dieselbetrieb auf einem Netz von fast 500 Kilometern durch elektrische Traktion zu ersetzen. Ausgehend von der Analyse der Organisationsstruktur im Schienenverkehr und mit Blick auf die heterogene Struktur der Aufgabenträger im Schienenpersonennahverkehr schlägt der Autor vor, eine grenzüberschreitend agierende Instanz mit Verantwortung für den regionalen Nahverkehr zu schaffen. Diese sollte sich an dem Rechtsrahmen eines Europäischen Verbundes für Territoriale Zusammenarbeit (EVTZ) ausrichten und dazu beitragen, dass Angebote im bestellten Schienen-¬personennahverkehr nicht mehr an den Grenzen der Zuständigkeitsbereiche von Aufgabenträgern enden. Ein weiterer Vorschlag umfasst die Schaffung einer Infrastruktur-Sicherungs- und Entwicklungs-¬gesellschaft für den Schienen-verkehr. Ihre Aufgabe sollte die akteursüber-¬greifende Initiative sein mit dem Ziel, vorhandene aber aus der Nutzung genommene Bahnstrecken vor dem Verfall zu retten und für eine spätere Nutzung aufzuwerten. Die Abhandlung beinhaltet eine erste Kostensc","url":"https://doi.org/10.25353/ubtr-xxxx-5265-bee7","authors":["Ried, Werner Matthias"],"tags":["Großregion","Verkehrsgeografie","Aufgabenträger","Reaktivierung","Eisenbahn","Nachhaltigkeit","Elektromobiltät","Saarland"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2014","doi":"10.25353/ubtr-xxxx-5265-bee7","addedAt":"2026-08-31T06:39:57.842Z","updatedAt":"2026-08-31T06:39:57.842Z"},{"id":"doi:10.5281/zenodo.46138","name":"Annual Reports Of Education, Health And Sport 9781329900547","source":"datacite","abstract":"Radomska Szkoła Wyższa w Radomiu Radom University in Radom Annual Reports of Education, Health and Sport 9781329900547 Edited by Iwona Czerwińska Pawluk Jan Falkowski Hanna Żukowska Wiesława Pilewska Józef Dziopak Walery Zukow http://ojs.ukw.edu.pl/index.php/johs/index http://journal.rsw.edu.pl https://pbn.nauka.gov.pl/search?search&amp;searchCategory=WORK&amp;filter.inJournal=49068 https://pbn.nauka.gov.pl/search?search&amp;searchCategory=WORK&amp;filter.inJournal=36616 http://elibrary.ru/contents.asp?titleid=37467 Open Access Radom 2014 Radomska Szkoła Wyższa w Radomiu Radom University in Radom Annual Reports of Education, Health and Sport 9781329900547 Edited by Iwona Czerwińska Pawluk Jan Falkowski Hanna Żukowska Wiesława Pilewska Józef Dziopak Walery Zukow http://ojs.ukw.edu.pl/index.php/johs/index http://journal.rsw.edu.pl https://pbn.nauka.gov.pl/search?search&amp;searchCategory=WORK&amp;filter.inJournal=49068 https://pbn.nauka.gov.pl/search?search&amp;searchCategory=WORK&amp;filter.inJournal=36616 http://elibrary.ru/contents.asp?titleid=37467 Open Access Radom 2014 Scientific Council prof. zw. dr hab. geo. Z. Babiński (Poland), prof. zw. dr hab. med. T. Chumachenko (Ukraine), prof. zw. dr hab. techn. R. Cichon (Poland), prof. zw. dr hab med. N. Dragomiretskaya (Ukraine), prof. zw. dr hab. med. V. Ezhov (Ukraine), prof. zw. dr hab. geo. J. Falkowski (Poland), prof. zw. dr hab. med. A. Gozhenko (Ukraine), prof. zw. dr hab. geo. M. Grodzynskyi (Ukraine), prof. zw. dr hab. I. Grygus (Ukraine), prof. zw. dr hab med. A. Gudyma (Ukraine), prof. zw. dr hab. med. S. Gulyar (Ukraine), prof. zw. dr hab. med. W. Hagner (Poland), prof. zw. dr hab. med. I. Karwat (Poland), prof. zw. dr hab. med. M. Kyryliuk (Ukraine), prof. zw. dr hab. med. Y. Limansky (Ukraine), prof. zw. dr hab. geo. A. Melnik (Ukraine), prof. zw. dr hab. med. V. Mizin (Ukraine), prof. zw. dr hab. med. B. Nasibullin (Ukraine), prof. zw. dr hab. geo. O. Obodovskyi (Ukraine), prof. zw. dr hab. med. I. Samosiuk (Ukraine), prof. zw. dr hab. med. L. Shafran (Ukraine), prof. zw. dr hab. med. I. Shmakova (Ukraine), prof. zw. dr hab. med.A. Svirskiy (Ukraine), prof. zw. dr hab. O. Sokolov (Ukraine), prof. zw. dr hab. med. V. Stebliuk (Ukraine), prof. zw. dr hab. S. Yermakov, (Ukraine), prof. dr hab. med. A. Avramenko, doc. PaedDr. Elena Bendíková, PhD. (Slovakia), prof. dr hab. K. Buśko (Poland), dr hab. med. E. Gozhenko (Ukraine), prof. dr hab. H. Knapik (Poland), dr hab. R. Muszkieta (Poland), prof. dr hab. med. W. Myśliński (Poland), prof. dr hab. M. Napierała (Poland), prof. dr hab. M. Pastuszko (Poland), prof. dr hab. K. Prusik (Poland), prof. dr hab. M. Zasada (Poland), dr med. L. Butskaia (Ukraine), dr I. M. Batyk (Poland), dr M. Cieślicka (Poland), dr med. M. Charzynska-Gula (Poland), doc. dr n. med. V. Cherno (Ukraine), dr med. K. Cywinski (Poland), dr med. I. Czerwinska Pawluk (Poland), dr biol. S. Dolomatov (Ukraine), dr med. M. Dzierzanowski (Poland), dr med. M. Hagner-Derengowska (Poland), dr med. B. Jędrzejewska (Poland), dr med. U. Kazmierczak (Poland), dr med. K. Kiczuk (Poland), dr Z. Kwaśnik (Poland), dr med. T. Madej (Poland), dr med. E. Mikolajewska (Poland), dr D. Mikolajewski (Poland), dr med. B. Muszynska (Poland), dr med. A. Nalazek (Poland), dr med. N. Novikov (Ukraine), dr med. K. Nowacka (Poland), dr med. G. Polak (Poland), dr med. P. Prokopczyk (Poland), dr med. A. Radziminska (Poland), dr med. L. Sierpinska (Poland), dr Daves Sinch (Republic of India), doc. dr A. Skaliy (Ukraine), dr T. Skaliy (Ukraine), dr B. Stankiewicz (Poland), dr med. E. Trela (Poland) E ditorial Board Stefan Adamcak (Slovakia), Pavol Bartik (Slovakia), Elena Bend^kova (Czech Republic), Janusz Bielski (Poland), Krzysztof Buśko (Poland), Mirosława Cieślicka (Poland), Jerzy Eksterowicz (Poland), Włodzimierz Erdmann (Poland), Tomasz Frołowicz (Poland), Attila Gilanyi (Hungary), Igor Grygus (Ukraine), Halina Guła-Kubiszewska (Poland), Paweł Izdebski (Poland), Sergii Iermakov ","url":"https://doi.org/10.5281/zenodo.46138","authors":["Boris, R. N. et al."],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2014","doi":"10.5281/zenodo.46138","addedAt":"2026-08-31T06:39:57.842Z","updatedAt":"2026-08-31T06:39:57.842Z"},{"id":"doi:10.5281/zenodo.46027","name":"Annual Reports Of Education, Health And Sport 9781329900516","source":"datacite","abstract":"Radomska Szkoła Wyższa w Radomiu Radom University in Radom Annual Reports of Education, Health and Sport 9781329900516 Edited by Iwona Czerwińska Pawluk Radosław Muszkieta Hanna Żukowska Wiesława Pilewska Mariusz Klimczyk Walery Zukow http://ojs.ukw.edu.pl/index.php/johs/index http://journal.rsw.edu.pl https://pbn.nauka.gov.pl/search?search&amp;searchCategory=WORK&amp;filter.inJournal=49068 https://pbn.nauka.gov.pl/search?search&amp;searchCategory=WORK&amp;filter.inJournal=36616 http://elibrary.ru/contents.asp?titleid=37467 Open Access Radom 2013 Radomska Szkoła Wyższa w Radomiu Radom University in Radom Annual Reports of Education, Health and Sport 9781329900516 Edited by Iwona Czerwińska Pawluk Radosław Muszkieta Hanna Żukowska Wiesława Pilewska Mariusz Klimczyk Walery Zukow http://ojs.ukw.edu.pl/index.php/johs/index http://journal.rsw.edu.pl https://pbn.nauka.gov.pl/search?search&amp;searchCategory=WORK&amp;filter.inJournal=49068 https://pbn.nauka.gov.pl/search?search&amp;searchCategory=WORK&amp;filter.inJournal=36616 http://elibrary.ru/contents.asp?titleid=37467 Open Access Radom 2013 Scientific Council prof. zw. dr hab. geo. Z. Babiński (Poland), prof. zw. dr hab. med. T. Chumachenko (Ukraine), prof. zw. dr hab. techn. R. Cichon (Poland), prof. zw. dr hab med. N. Dragomiretskaya (Ukraine), prof. zw. dr hab. med. V. Ezhov (Ukraine), prof. zw. dr hab. geo. J. Falkowski (Poland), prof. zw. dr hab. med. A. Gozhenko (Ukraine), prof. zw. dr hab. geo. M. Grodzynskyi (Ukraine), prof. zw. dr hab. I. Grygus (Ukraine), prof. zw. dr hab med. A. Gudyma (Ukraine), prof. zw. dr hab. med. S. Gulyar (Ukraine), prof. zw. dr hab. med. W. Hagner (Poland), prof. zw. dr hab. med. I. Karwat (Poland), prof. zw. dr hab. med. M. Kyryliuk (Ukraine), prof. zw. dr hab. med. Y. Limansky (Ukraine), prof. zw. dr hab. geo. A. Melnik (Ukraine), prof. zw. dr hab. med. V. Mizin (Ukraine), prof. zw. dr hab. med. B. Nasibullin (Ukraine), prof. zw. dr hab. geo. O. Obodovskyi (Ukraine), prof. zw. dr hab. med. I. Samosiuk (Ukraine), prof. zw. dr hab. med. L. Shafran (Ukraine), prof. zw. dr hab. med. I. Shmakova (Ukraine), prof. zw. dr hab. med.A. Svirskiy (Ukraine), prof. zw. dr hab. O. Sokolov (Ukraine), prof. zw. dr hab. med. V. Stebliuk (Ukraine), prof. zw. dr hab. S. Yermakov, (Ukraine), prof. dr hab. med. A. Avramenko, doc. PaedDr. Elena Bendíková, PhD. (Slovakia), prof. dr hab. K. Buśko (Poland), dr hab. med. E. Gozhenko (Ukraine), prof. dr hab. H. Knapik (Poland), dr hab. R. Muszkieta (Poland), prof. dr hab. med. W. Myśliński (Poland), prof. dr hab. M. Napierała (Poland), prof. dr hab. M. Pastuszko (Poland), prof. dr hab. K. Prusik (Poland), prof. dr hab. M. Zasada (Poland), dr med. L. Butskaia (Ukraine), dr I. M. Batyk (Poland), dr M. Cieślicka (Poland), dr med. M. Charzynska-Gula (Poland), doc. dr n. med. V. Cherno (Ukraine), dr med. K. Cywinski (Poland), dr med. I. Czerwinska Pawluk (Poland), dr biol. S. Dolomatov (Ukraine), dr med. M. Dzierzanowski (Poland), dr med. M. Hagner-Derengowska (Poland), dr med. B. Jędrzejewska (Poland), dr med. U. Kazmierczak (Poland), dr med. K. Kiczuk (Poland), dr Z. Kwaśnik (Poland), dr med. T. Madej (Poland), dr med. E. Mikolajewska (Poland), dr D. Mikolajewski (Poland), dr med. B. Muszynska (Poland), dr med. A. Nalazek (Poland), dr med. N. Novikov (Ukraine), dr med. K. Nowacka (Poland), dr med. G. Polak (Poland), dr med. P. Prokopczyk (Poland), dr med. A. Radziminska (Poland), dr med. L. Sierpinska (Poland), dr Daves Sinch (Republic of India), doc. dr A. Skaliy (Ukraine), dr T. Skaliy (Ukraine), dr B. Stankiewicz (Poland), dr med. E. Trela (Poland) E ditorial Board Stefan Adamcak (Slovakia), Pavol Bartik (Slovakia), Elena Bend^kova (Czech Republic), Janusz Bielski (Poland), Krzysztof Buśko (Poland), Mirosława Cieślicka (Poland), Jerzy Eksterowicz (Poland), Włodzimierz Erdmann (Poland), Tomasz Frołowicz (Poland), Attila Gilanyi (Hungary), Igor Grygus (Ukraine), Halina Guła-Kubiszewska (Poland), Paweł Izdebski (Poland), ","url":"https://doi.org/10.5281/zenodo.46027","authors":["Podgorna, V. V. et al."],"tags":["Annual Reports","Education","Health","Sport","9781329900516"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2013","doi":"10.5281/zenodo.46027","addedAt":"2026-08-31T06:39:57.842Z","updatedAt":"2026-08-31T06:39:57.842Z"},{"id":"doi:10.5281/zenodo.45634","name":"Annual Reports Of Education, Health And Sport 9781329876262","source":"datacite","abstract":"Radomska Szkoła Wyższa w Radomiu Radom University in Radom Annual Reports of Education, Health and Sport 9781329876262 Edited by Iwona Czerwińska Pawluk Hanna Żukowska Wiesława Pilewska Mariusz Klimczyk Adam Szulc Walery Zuków htti)://ois.ukw.edu.i)l/index.i)hi)/iohs/index htti)://ioumal.rsw.edu.i)l htti)s://i)bn.nauka.gov.i)l/search?search&amp;searchCategorv=WORK&amp;filter.inJoumal=49068 htti)s://i)bn.nauka.gov.i)l/search?search&amp;searchCategorv=WORK&amp;filter.inJoumal=36616 htti)://elibrarv.ru/contents.asi)?titleid=37467 Open Access Radomska Szkoła Wyższa w Radomiu Radom University in Radom Annual Reports of Education, Health and Sport 9781329876262 Edited by Iwona Czerwińska Pawluk Hanna Żukowska Wiesława Pilewska Mariusz Klimczyk Adam Szulc Walery Zuków htti)://ois.ukw.edu.i)l/index.i)hi)/iohs/index htti)://ioumal.rsw.edu.i)l htti)s://i)bn.nauka.gov.i)l/search?search&amp;searchCategorv=WORK&amp;filter.inJoumal=49068 htti)s://i)bn.nauka.gov.i)l/search?search&amp;searchCategorv=WORK&amp;filter.inJoumal=36616 htti)://elibrarv.ru/contents.asi)?titleid=37467 Open Access Scientific Council pcl rm Ah* ten / IWriUuilVkmdi pet л» Ah* mcd T сНсисЬгке a|&gt;»i»««hxia it bam о pot л* Л h* med V Ed*» ilbonc-. pt\\4 rm Ah* fee i l*&gt;mki ihdmdi yr«dC г* Ah* med A GwhaAotlboncl pit VI ¿rwdoMkyitibamet pit м Abb I «Аур» ilbimei pet m AbbimdA GudpMiUnmcipitni Ah* med к OiJy* abmeipot /» Ah* itW W 1Ъри tfawi prt mAh* med V Mvn itbamci pot mAh* med ft S*d«lkn il Wmci pet mAh* era О C4od«»A.)t ilkranei. pit rm A h* eed t SmnanA il bm»c&lt; pot m Ah* med 1. 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Amed Г JY.hi^er* iMmti Amed A l*einl i iPdedt, A med L hapndi thdmdc A De%n le* (XipoAhc .4 lnAa&gt; doc A A YLdn (Ibmti, AT. X* tlbami А П MedK»H/ iPdmdL A md L DeUtMmdi Editorial Board St rim Admit* lYUobas Pmd iwid iSh»*uc По» fend km lleem; • IVdmdt Akdmmr/ ftAm llSdmdX Iomm FrrAmki iTVdmdi Aiili Gdmni i)h*«t*0 &gt; I** Or)*» I lb mm i lldm И«!»к*им»*| iTVdmdi IV-«11/d**. .Mmdi Sen. Immb* dbtmti TM&gt;mil«fm*&lt;»(tlb«mt AmehrduMlCmh Xqc*ki Ylminda kndboi tCjc* kqcdbc. ;«* kliwr IUcjc.* Юпжлк iMmdi Abcp kodenei* il'oimli Itrtitci Lmje л'«* ХерзЫх i Ihfucr Sladcedi tPdmdt ,'n M«Ad iMndui U»dmli Mdlodne iCeeth Re»-diH с Inli M*,4■.Pcdmdi YdJo Hl.hrto ilbmxI Stmmdra Und tPtdradk Mvmb* *A«Ao«i* ifoteidc K*A&gt;lm \\W мл ifelmd! Лем Sdt/tk • |4d*d&gt;. Votl Ч*иЫ| iPtdmd&gt;. )ei) Nomci* iWda4&gt;. Pw* пЫпгачг &gt;PUmdt lAbAdsn Padcnh iMmdi *к*тч Pdmdj» ifcdmdc l**n ttod**« lOech ЯфеЫкk KmvM ftm* ilVdmdi kmwvdЫ&lt;имеЦi iMmdk AWum* 'deln ilbaocv Te*|m* tt kmnci lime SekcAnnkj tPcdmdV МкПЗ Ыипмс: iPidetdc K*ot Ugmmk iMmii Ahkiendp bdiihdmtdl Smdi Snndj &lt;%mi Mmien Ymt-Lckjrd thdmdc Meciq Smdkwdi iPcbndt Ihcboi) ТегемЬА llbimeL INnny \\bf«mu ilb amr&gt;. Моем Zemde cPodmdt Temmu 7«Aera*)e ilbmmi Wdef&gt; Mm (bdmdl llmi Mm*a iPoimdi Ad\\i&gt;or&gt; Board tfwmi hdotdkilsdnli Wn |in*m itbmiri LMrldtbiMh lhem)i kermmrr Dm* ilsbndx Ylrmdm DodiAdbimei Kool tkemr iM«»*u&gt;. Kwmet kathmmK/ tfldm","url":"https://doi.org/10.5281/zenodo.45634","authors":["Mikolajewska, Emilia at al."],"tags":["Annual Reports","Education","Health","Sport","9781329876262"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2013","doi":"10.5281/zenodo.45634","addedAt":"2026-08-31T06:39:57.842Z","updatedAt":"2026-08-31T06:39:57.842Z"},{"id":"doi:10.5281/zenodo.45472","name":"Annual Reports Of Education, Health And Sport 9781329876002","source":"datacite","abstract":"Radomska Szkoła Wyższa w Radomiu Radom University in Radom Annual Reports of Education, Health and Sport 9781329876002 Edited by Iwona Czerwińska Pawluk Radosław Muszkieta Marek Napierała Walery Zukow http://ojs.ukw.edu.pl/index.php/johs/index www.journal.rsw.edu.pl https://pbn.nauka.gov.pl/search?search&amp;searchCategory=WORK&amp;filter.inJournal=49068 https://pbn.nauka.gov.pl/search?search&amp;searchCategory=WORK&amp;filter.inJournal=36616 http://elibrary.ru/contents.asp?titleid=37467 Open Access Radom 2013 Radomska Szkoła Wyższa w Radomiu Radom University in Radom Annual Reports of Education, Health and Sport 9781329876002 Edited by Iwona Czerwińska Pawluk Radosław Muszkieta Marek Napierała Walery Zukow http://ojs.ukw.edu.pl/index.php/johs/index www.journal.rsw.edu.pl https://pbn.nauka.gov.pl/search?search&amp;searchCategory=WORK&amp;filter.inJournal=49068 https://pbn.nauka.gov.pl/search?search&amp;searchCategory=WORK&amp;filter.inJournal=36616 http://elibrary.ru/contents.asp?titleid=37467 Open Access Radom 2013 Scientific Council prof. zw. dr hab. geo. Z. Babiński (Poland), prof. zw. dr hab. med. T. Chumachenko (Ukraine), prof. zw. dr hab. techn. R. Cichon (Poland), prof. zw. dr hab med. N. Dragomiretskaya (Ukraine), prof. zw. dr hab. med. V. Ezhov (Ukraine), prof. zw. dr hab. geo. J. Falkowski (Poland), prof. zw. dr hab. med. A. Gozhenko (Ukraine), prof. zw. dr hab. geo. M. Grodzynskyi (Ukraine), prof. zw. dr hab. I. Grygus (Ukraine), prof. zw. dr hab med. A. Gudyma (Ukraine), prof. zw. dr hab. med. S. Gulyar (Ukraine), prof. zw. dr hab. med. W. Hagner (Poland), prof. zw. dr hab. med. I. Karwat (Poland), prof. zw. dr hab. med. M. Kyryliuk (Ukraine), prof. zw. dr hab. med. Y. Limansky (Ukraine), prof. zw. dr hab. geo. A. Melnik (Ukraine), prof. zw. dr hab. med. V. Mizin (Ukraine), prof. zw. dr hab. med. B. Nasibullin (Ukraine), prof. zw. dr hab. geo. O. Obodovskyi (Ukraine), prof. zw. dr hab. med. I. Samosiuk (Ukraine), prof. zw. dr hab. med. L. Shafran (Ukraine), prof. zw. dr hab. med. I. Shmakova (Ukraine), prof. zw. dr hab. med.A. Svirskiy (Ukraine), prof. zw. dr hab. O. Sokolov (Ukraine), prof. zw. dr hab. med. V. Stebliuk (Ukraine), prof. zw. dr hab. S. Yermakov, (Ukraine), prof. dr hab. med. A. Avramenko, doc. PaedDr. Elena Bendíková, PhD. (Slovakia), prof. dr hab. K. Buśko (Poland), dr hab. med. E. Gozhenko (Ukraine), prof. dr hab. H. Knapik (Poland), dr hab. R. Muszkieta (Poland), prof. dr hab. med. W. Myśliński (Poland), prof. dr hab. M. Napierała (Poland), prof. dr hab. M. Pastuszko (Poland), prof. dr hab. K. Prusik (Poland), prof. dr hab. M. Zasada (Poland), dr med. L. Butskaia (Ukraine), dr I. M. Batyk (Poland), dr M. Cieślicka (Poland), dr med. M. Charzynska-Gula (Poland), doc. dr n. med. V. Cherno (Ukraine), dr med. K. Cywinski (Poland), dr med. I. Czerwinska Pawluk (Poland), dr biol. S. Dolomatov (Ukraine), dr med. M. Dzierzanowski (Poland), dr med. M. Hagner-Derengowska (Poland), dr med. B. Jędrzejewska (Poland), dr med. U. Kazmierczak (Poland), dr med. K. Kiczuk (Poland), dr Z. Kwaśnik (Poland), dr med. T. Madej (Poland), dr med. E. Mikolajewska (Poland), dr D. Mikolajewski (Poland), dr med. B. Muszynska (Poland), dr med. A. Nalazek (Poland), dr med. N. Novikov (Ukraine), dr med. K. Nowacka (Poland), dr med. G. Polak (Poland), dr med. P. Prokopczyk (Poland), dr med. A. Radziminska (Poland), dr med. L. Sierpinska (Poland), dr Daves Sinch (Republic of India), doc. dr A. Skaliy (Ukraine), dr T. Skaliy (Ukraine), dr B. Stankiewicz (Poland), dr med. E. Trela (Poland) E ditorial Board Stefan Adamcak (Slovakia), Pavol Bartik (Slovakia), Elena Bend^kova (Czech Republic), Janusz Bielski (Poland), Krzysztof Buśko (Poland), Mirosława Cieślicka (Poland), Jerzy Eksterowicz (Poland), Włodzimierz Erdmann (Poland), Tomasz Frołowicz (Poland), Attila Gilanyi (Hungary), Igor Grygus (Ukraine), Halina Guła-Kubiszewska (Poland), Paweł Izdebski (Poland), Sergii Iermakov (Ukraine), Tetyana Iermakova (Ukraine), Jana Jurikova (Cze","url":"https://doi.org/10.5281/zenodo.45472","authors":["Radzimińska, Agnieszka et al."],"tags":["Annual Reports","Education","Health","Sport","9781329876002"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2013","doi":"10.5281/zenodo.45472","addedAt":"2026-08-31T06:39:57.842Z","updatedAt":"2026-08-31T06:39:57.842Z"},{"id":"doi:10.5281/zenodo.3946240","name":"Characteristics of Potential User Groups of New Forms of Mobility Using the Example of Urban Air Mobility","source":"datacite","abstract":"Urban air mobility (UAM) is a novel form of air transport revolutionising the way passengers travel intercity, intracity, arrive at and depart from airports. Trials already demonstrated the technical feasibility, however, little is known about UAM passengers. This paper attempts to identify potential first mover users for UAM services. Findings of an in-depth literature review show that business travellers and high-net-worth individuals are identified as the two main first mover groups. These potential users are described in more detail, using future trends, socioeconomics, and trip characteristics. Management implications, such as for transport infrastructure, pricing, or in-flight services, are derived from findings of an expert workshop with nine mobility researchers. Several studies already assessed characteristics of air travellers and urban passengers of novel mobility concepts, such as ride-hailing services. This paper aims to combine several research foci: air passenger, urban passenger characteristics, and research on tourism in order to identify potential, new customer segments for novel mobility concepts, such as for UAM services.","url":"https://doi.org/10.5281/zenodo.3946240","authors":["Kluge, Ulrike","Paul, Annika","Plötner, Kay O."],"tags":["Novel concept of mobility","Urban air mobility","UAM","Passenger characteristics","Passenger segmentation"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2019","doi":"10.5281/zenodo.3946240","addedAt":"2026-08-31T06:39:57.842Z","updatedAt":"2026-08-31T06:39:57.842Z"},{"id":"doi:10.5281/zenodo.3946241","name":"Characteristics of Potential User Groups of New Forms of Mobility Using the Example of Urban Air Mobility","source":"datacite","abstract":"Urban air mobility (UAM) is a novel form of air transport revolutionising the way passengers travel intercity, intracity, arrive at and depart from airports. Trials already demonstrated the technical feasibility, however, little is known about UAM passengers. This paper attempts to identify potential first mover users for UAM services. Findings of an in-depth literature review show that business travellers and high-net-worth individuals are identified as the two main first mover groups. These potential users are described in more detail, using future trends, socioeconomics, and trip characteristics. Management implications, such as for transport infrastructure, pricing, or in-flight services, are derived from findings of an expert workshop with nine mobility researchers. Several studies already assessed characteristics of air travellers and urban passengers of novel mobility concepts, such as ride-hailing services. This paper aims to combine several research foci: air passenger, urban passenger characteristics, and research on tourism in order to identify potential, new customer segments for novel mobility concepts, such as for UAM services.","url":"https://doi.org/10.5281/zenodo.3946241","authors":["Kluge, Ulrike","Paul, Annika","Plötner, Kay O."],"tags":["Novel concept of mobility","Urban air mobility","UAM","Passenger characteristics","Passenger segmentation"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2019","doi":"10.5281/zenodo.3946241","addedAt":"2026-08-31T06:39:57.842Z","updatedAt":"2026-08-31T06:39:57.842Z"},{"id":"doi:10.1504/ijpt.2024.138001","name":"Energy consumption optimisation for unmanned aerial vehicle based on reinforcement learning framework","source":"crossref","abstract":"","url":"https://doi.org/10.1504/ijpt.2024.138001","authors":["Ziyue Wang","Yang Xing"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-04-17T11:30:53Z","doi":"10.1504/ijpt.2024.138001","addedAt":"2026-08-31T06:39:57.917Z","updatedAt":"2026-08-31T06:39:57.917Z"},{"id":"doi:10.32520/jupel.v6i1.2838","name":"PENGOLAHAN FOTO UDARA UAV (UNMANNED AERIAL VEHICLE)  MENGGUNAKAN SOFTWARE AGISOFT METASHAPE","source":"crossref","abstract":"This research aims to explain the method of utilizing UAV (Unmanned Aerial Vehicle) for aerial data photography and processing of UAV aerial photos using Agisoft Metashape software. In this context, the author will discuss the key steps in data processing, including aerial photo preprocessing, 3D model generation, digital elevation model (DEM) extraction, orthomosaic extraction, and the provision of processing information from the aerial photo data. The research flow is structured in a series of steps, encompassing all stages performed during the research process, allowing for a clear direction of the research's progression. The final results, in the form of DEM and orthomosaic, hold significant value in mapping and geospatial analysis. This research is expected to enhance the understanding of UAV usage in surveying and mapping, enabling broader applications in various sectors. Careful supervision and control of UAV flights are highly emphasized to ensure data quality. The use of UAVs and Agisoft Metashape opens up new opportunities for accurate, efficient, and effective surveying and mapping.","url":"https://doi.org/10.32520/jupel.v6i1.2838","authors":["Noversa Yafet Pinatik","Frederik Samuel Papilaya"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-03-28T02:11:55Z","doi":"10.32520/jupel.v6i1.2838","addedAt":"2026-08-31T06:39:57.917Z","updatedAt":"2026-08-31T06:39:57.917Z"},{"id":"doi:10.2316/j.2024.201-0392","name":"AN ADAPTIVE CONTROL ALGORITHM OF TETHERED UNMANNED AERIAL VEHICLE, 11-17.","source":"crossref","abstract":"","url":"https://doi.org/10.2316/j.2024.201-0392","authors":["Xiang Huang","Xu Gu","Biao Du","Danjiang Huo"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-01-20T11:11:46Z","doi":"10.2316/j.2024.201-0392","addedAt":"2026-08-31T06:39:57.917Z","updatedAt":"2026-08-31T06:39:57.917Z"},{"id":"doi:10.37701/ts.03.2024.10","name":"THE ROUTES OF UNMANNED AERIAL VEHICLE PLANNING METHODS ONTOLOGY","source":"crossref","abstract":"The article analyzes modern methods of the route of unmanned aerial vehicles (UAVs) planning. An ontology for the routes of the UAVs group planning algorithms classification has been developed, which includes two elements: global planning and local planning. The article notes that the purpose of UAV flight routes planning is the optimal (rational) solution of specific tasks under appropriate weather conditions and taking into account other factors of the external environment. According to the premise of taking into account a significant number of constraints, the objective function of planning is to reach each UAV from the group to the end point (mission point). Planning the UAVs group route is a complex task of its multi-criteria optimization and solution in the presence of constraints. With the increase in the UAVs number, the analytical space of the route planning task will grow exponentially. The existing methods of planning the of the UAVs group movement route have a number of disadvantages, therefore, the development of a comprehensive method that reduces computational requirements, saves time, allows to plan routes in real time, and is also more effective from the group's mission performance point of view. The article defines the requirements for the UAVs group routes planning promising methods: complex modeling of many factors of the external environment influence; planning in real time; integration of planning methods. Combining the characteristics of heuristic algorithms and machine learning methods also allows you to obtain complex methods that have a higher adaptability to the conditions of the external environment and expand the range of applications.","url":"https://doi.org/10.37701/ts.03.2024.10","authors":["O. Chumak","M. Dudko","O. Dmitriiev"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-07-08T13:30:33Z","doi":"10.37701/ts.03.2024.10","addedAt":"2026-08-31T06:39:57.917Z","updatedAt":"2026-08-31T06:39:57.917Z"},{"id":"doi:10.1007/978-981-96-3576-4_18","name":"A New Type of Power Battery for Unmanned Aerial Vehicle","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-981-96-3576-4_18","authors":["Qingwen Peng"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-04-03T20:36:58Z","doi":"10.1007/978-981-96-3576-4_18","addedAt":"2026-08-31T06:39:57.917Z","updatedAt":"2026-08-31T06:40:05.993Z"},{"id":"doi:10.1142/s2301385024500225","name":"Improved RRT\n                    <sup>*</sup>\n                    Algorithm-Based Path Planning for Unmanned Aerial Vehicle in a 3D Metropolitan Environment","source":"crossref","abstract":"The unmanned aerial vehicles (UAV’s) are widely used in smart logistic application. The optimal route prediction, however, is a fundamental prerequisite for UAV in commercial applications. This paper introduces an Improved Rapid random tree (IRRT * ) algorithm with triangular inequality rewiring technique for finding collision free path for UAVs in a three-dimensional (3D) environment. The 3D building environments for navigation were developed using MATLAB/Simulink 2021, a virtual occupancy grid model. By considering UAV variable elements such as roll angle, air speed, flight path angle, and boundary threshold parameters, the suggested work aims to provide a comparative analysis of sampling algorithm-based optimal path. The proposed route planning control strategy is to identify the violation free path to locate the destination in 3D environment at variable altitude and air speed. Compared to the standard RRT and RRT * algorithms, the proposed IRRT * algorithm can shorten the planning time, reduce the cost distance and improve the algorithm’s applicability in the formation path planning problem. Simulation experiments with two environments and their different situations are carried out to determine the efficiency and performance of the proposed IRRT * algorithm. Statistical investigation supported the effectiveness of the IRRT * approach, which has low computational cost and a smooth travel trajectory that significantly resolves the unmanned aerial vehicle path planning issues in logistic applications.","url":"https://doi.org/10.1142/s2301385024500225","authors":["S. Julius Fusic","R. Sitharthan"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-02-09T20:29:27Z","doi":"10.1142/s2301385024500225","addedAt":"2026-08-31T06:39:57.917Z","updatedAt":"2026-08-31T06:39:57.917Z"},{"id":"doi:10.2139/ssrn.4687755","name":"Adaptive Maximum Effective Energy Evaluation for Lithium Battery in Hydrogen-Electric Hybrid Unmanned Aerial Vehicle Applications","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.4687755","authors":["Yizhe Yan","Bin Wang","Chunwu Xiao","Chaohui Wang","Dan Zhao"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-01-08T22:17:24Z","doi":"10.2139/ssrn.4687755","addedAt":"2026-08-31T06:39:57.917Z","updatedAt":"2026-08-31T06:39:57.917Z"},{"id":"doi:10.1109/access.2024.3506597","name":"Vertical Take-off and Landing Unmanned Aerial Vehicle Design Based on Foam 3D Printing Technology","source":"crossref","abstract":"","url":"https://doi.org/10.1109/access.2024.3506597","authors":["Weiwei Sun","Nan Zhao"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-11-27T19:41:56Z","doi":"10.1109/access.2024.3506597","addedAt":"2026-08-31T06:39:57.917Z","updatedAt":"2026-08-31T06:39:57.917Z"},{"id":"doi:10.1016/j.actaastro.2024.06.010","name":"Conceptual design of a tilt-rotor unmanned aerial vehicle for Mars exploration","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.actaastro.2024.06.010","authors":["Jiahao Ge","Jinwu Xiang","Daochun Li","Wencan Bai"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-06-12T18:25:10Z","doi":"10.1016/j.actaastro.2024.06.010","addedAt":"2026-08-31T06:39:57.917Z","updatedAt":"2026-08-31T06:39:57.917Z"},{"id":"doi:10.1109/icmla61862.2024.00149","name":"Exploring Machine Learning Engineering for Object Detection and Tracking by Unmanned Aerial Vehicle (UAV)","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icmla61862.2024.00149","authors":["Aneesha Guna","Parth Ganeriwala","Siddhartha Bhattacharyya"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-03-04T18:39:11Z","doi":"10.1109/icmla61862.2024.00149","addedAt":"2026-08-31T06:39:57.917Z","updatedAt":"2026-08-31T06:39:57.917Z"},{"id":"doi:10.1117/12.3051600","name":"Pavement breakage detection from unmanned aerial vehicle viewpoint based on improved Detr","source":"crossref","abstract":"","url":"https://doi.org/10.1117/12.3051600","authors":["Liping Liu"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-11-18T16:41:03Z","doi":"10.1117/12.3051600","addedAt":"2026-08-31T06:39:57.917Z","updatedAt":"2026-08-31T06:39:57.917Z"},{"id":"doi:10.1109/icc51166.2024.10622970","name":"Unmanned Aerial Vehicle-Based Animal Detection via Hybrid CNN and LSTM Model","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icc51166.2024.10622970","authors":["Akshat Gaurav","Brij B. Gupta","Kwok Tai Chui","Varsha Arya"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-08-20T15:34:42Z","doi":"10.1109/icc51166.2024.10622970","addedAt":"2026-08-31T06:39:57.917Z","updatedAt":"2026-08-31T06:39:57.917Z"},{"id":"doi:10.1002/adc2.194","name":"Real‐time route planning for low observable <scp>unmanned combat aerial vehicle</scp>","source":"crossref","abstract":"Abstract The next generation of low observable (LO) unmanned combat aerial vehicle (UCAV) with highly autonomy to implement a penetration mission requires advanced methods for flyable and safe route planning (i.e., respecting physical capability of vehicle and threat coverage by hostile air defense radars) at a real‐time manner. Currently, the main challenge of real‐time route planning for LO UCAV is to achieve computationally efficiency under dynamic (pop‐up/moving) threats by air defense radars. In this paper, a real‐time planning paradigm in compliance with complex penetration requirements is proposed, and a complete modeling of route planning for LO UCAV's penetration as an optimal control problem is designed. The paper at first devises a direct method to transform the optimal control problem into a nonlinear programming (NLP) problem and then solves the formulated NLP problem under a moving planning horizon. The proposed method can give computationally efficient route planning results for LO UCAV's penetration under multiple kinds of radar threats. Numerical test results based on F‐16 uninhabited platform demonstrate the effectiveness of the proposed method.","url":"https://doi.org/10.1002/adc2.194","authors":["Yuanchao Yang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-02-28T05:08:25Z","doi":"10.1002/adc2.194","addedAt":"2026-08-31T06:39:57.917Z","updatedAt":"2026-08-31T06:39:57.917Z"},{"id":"doi:10.1109/ciss63346.2024.11241168","name":"A Matching Method for Unmanned Aerial Vehicle Images and Spaceborne Images Based on LightGlue","source":"crossref","abstract":"","url":"https://doi.org/10.1109/ciss63346.2024.11241168","authors":["Peng Li","Hongwei Xu","Wenqiang Ji","Chuanshuo Cao"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-11-19T18:43:33Z","doi":"10.1109/ciss63346.2024.11241168","addedAt":"2026-08-31T06:39:57.917Z","updatedAt":"2026-08-31T06:39:57.917Z"},{"id":"doi:10.1109/acit62333.2024.10712562","name":"Determination of Survivability Indicator of Unmanned Aerial Vehicle Acoustic Detection System","source":"crossref","abstract":"","url":"https://doi.org/10.1109/acit62333.2024.10712562","authors":["Leonid Ozirkovskyy","Yurii Zhuk","Bohdan Volochiy","Nazar Pryymak"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-10-16T17:51:15Z","doi":"10.1109/acit62333.2024.10712562","addedAt":"2026-08-31T06:39:57.917Z","updatedAt":"2026-08-31T06:39:57.917Z"},{"id":"doi:10.1109/metroaerospace61015.2024.10591531","name":"Performance Analysis of the Unmanned Aerial Vehicle Based on the Flight Test","source":"crossref","abstract":"","url":"https://doi.org/10.1109/metroaerospace61015.2024.10591531","authors":["Paweł Karpiński","Zbigniew Czyż","Krzysztof Skiba","Stanisław Parafiniuk"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-07-23T13:26:19Z","doi":"10.1109/metroaerospace61015.2024.10591531","addedAt":"2026-08-31T06:39:57.917Z","updatedAt":"2026-08-31T06:39:57.917Z"},{"id":"doi:10.1109/eeae60309.2024.10600507","name":"Pasture Biomass Research Using Unmanned Aerial Vehicle","source":"crossref","abstract":"","url":"https://doi.org/10.1109/eeae60309.2024.10600507","authors":["Durhan Saliev","Iliyan Damyanov","Kalin Dimitrov","Georgi Mladenov"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-07-23T17:50:10Z","doi":"10.1109/eeae60309.2024.10600507","addedAt":"2026-08-31T06:39:57.917Z","updatedAt":"2026-08-31T06:39:57.917Z"},{"id":"doi:10.1109/iccect60629.2024.10545723","name":"A Neural Network Unmanned Aerial Vehicle Conflict Resolution Method Based on Bat Algorithm","source":"crossref","abstract":"","url":"https://doi.org/10.1109/iccect60629.2024.10545723","authors":["Xie Xiongfengshi","Shi Hongwei"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-06-07T17:23:08Z","doi":"10.1109/iccect60629.2024.10545723","addedAt":"2026-08-31T06:39:57.917Z","updatedAt":"2026-08-31T06:39:57.917Z"},{"id":"doi:10.1109/icus61736.2024.10840010","name":"Fault-Tolerant Design and Implementation of Tiltable Quadcopter Aerial-Aquatic Vehicle","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icus61736.2024.10840010","authors":["Sihuan Wu","Sifan Wu","Maosen Shao","Zhilin He","Jinxiu Zhang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-01-22T18:45:23Z","doi":"10.1109/icus61736.2024.10840010","addedAt":"2026-08-31T06:39:57.917Z","updatedAt":"2026-08-31T06:39:57.917Z"},{"id":"doi:10.1109/icuas60882.2024.10557120","name":"Towards Instance Segmentation-Based Litter Collection with Multi-Rotor Aerial Vehicle","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icuas60882.2024.10557120","authors":["Filip Zoric","Antonio Franchi","Matko Orsag","Zdenko Kovacic","Chiara Gabellieri"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-06-19T17:22:59Z","doi":"10.1109/icuas60882.2024.10557120","addedAt":"2026-08-31T06:39:57.917Z","updatedAt":"2026-08-31T06:39:57.917Z"},{"id":"doi:10.62051/ny848j04","name":"Applications of Remote Sensing and Sensor Technology for Unmanned Aerial Vehicle","source":"crossref","abstract":"As a relatively new remote sensing means, unmanned aerial vehicle (UAV) remote sensing has been widely used in the fields of agriculture, forestry, and urban construction surveying and mapping because of its low cost, high efficiency, and flexibility. This paper introduces UAV remote sensing sensor technology and its applications in different fields. First, the core role of sensors in UAV remote sensing systems is introduced, including the development of multispectral, hyperspectral, and LiDAR sensor technologies and their applications in UAV remote sensing. Then, the working principles, technical characteristics, and application scenarios of multispectral, hyperspectral, and LiDAR sensors are discussed. Then, multi-sensor integration techniques in UAV remote sensing are discussed in terms of their importance and challenges. Finally, through the application cases of agricultural monitoring, forestry resource management, and urban construction mapping, the practicality and potential of UAV remote sensing technology are shown. This paper provides a reference for the research and application of UAV remote sensing and its sensor technology in several fields. With the continuous progress and innovation of technology, UAV remote sensing technology is expected to play a key role in more fields and promote the sustainable development of related industries.","url":"https://doi.org/10.62051/ny848j04","authors":["Zheyu Liu"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-12-14T12:30:20Z","doi":"10.62051/ny848j04","addedAt":"2026-08-31T06:39:57.917Z","updatedAt":"2026-08-31T06:39:57.917Z"},{"id":"doi:10.1109/icedcs64328.2024.00098","name":"Research on Optimal Spraying Path of Agricultural Unmanned Aerial Vehicle Based on Particle Swarm and Genetic Algorithm","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icedcs64328.2024.00098","authors":["Yuewen Zhou"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-01-16T18:31:54Z","doi":"10.1109/icedcs64328.2024.00098","addedAt":"2026-08-31T06:39:57.917Z","updatedAt":"2026-08-31T06:39:57.917Z"},{"id":"doi:10.2514/6.2024-4206","name":"Wind Dynamics and Homotopy Path Planning for Unmanned Aerial Vehicle Trajectory Optimisation","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2024-4206","authors":["Y.Y. Chan","Kam K.H. Ng","Chun-Ho Liu","Kai Kwong Hon"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-09-20T08:30:37Z","doi":"10.2514/6.2024-4206","addedAt":"2026-08-31T06:39:57.917Z","updatedAt":"2026-08-31T06:39:57.917Z"},{"id":"doi:10.1109/asip63198.2024.00010","name":"Method for Enhancing Unmanned Aerial Vehicle Target Detection in Challenging Environments Using Improved YOLOv8 Network","source":"crossref","abstract":"","url":"https://doi.org/10.1109/asip63198.2024.00010","authors":["Jian Yang","Qiuxiang Yang","Qiang Li"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-11-12T18:35:44Z","doi":"10.1109/asip63198.2024.00010","addedAt":"2026-08-31T06:39:57.917Z","updatedAt":"2026-08-31T06:39:57.917Z"},{"id":"doi:10.1109/i2mtc60896.2024.10561168","name":"Towards Real-Time Fast Unmanned Aerial Vehicle Detection Using Dynamic Vision Sensors","source":"crossref","abstract":"","url":"https://doi.org/10.1109/i2mtc60896.2024.10561168","authors":["Jakub Mandula","Jonas Kühne","Luca Pascarella","Michele Magno"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-06-28T13:53:14Z","doi":"10.1109/i2mtc60896.2024.10561168","addedAt":"2026-08-31T06:39:57.917Z","updatedAt":"2026-08-31T06:39:57.917Z"},{"id":"doi:10.1109/sst61991.2024.10755387","name":"Coordinated Control Of Tethered Unmanned Aerial Vehicle With Launch And Recovery System","source":"crossref","abstract":"","url":"https://doi.org/10.1109/sst61991.2024.10755387","authors":["Vicko Prkačin","Antun Ðuraš","Ivana Palunko"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-11-20T18:57:29Z","doi":"10.1109/sst61991.2024.10755387","addedAt":"2026-08-31T06:39:57.917Z","updatedAt":"2026-08-31T06:39:57.917Z"},{"id":"doi:10.1109/icsima62563.2024.10675578","name":"Unmanned Aerial Vehicle (UAV) Control Through Speech Recognition","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icsima62563.2024.10675578","authors":["Sairul Izwan Safie","Nur Aini Maisarah Mohd Yunus"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-09-18T17:52:04Z","doi":"10.1109/icsima62563.2024.10675578","addedAt":"2026-08-31T06:39:57.917Z","updatedAt":"2026-08-31T06:39:57.917Z"},{"id":"doi:10.1109/peeec63877.2024.00073","name":"Mechatronics Integration Technology for Unmanned Aerial Vehicle Flight Control Systems","source":"crossref","abstract":"","url":"https://doi.org/10.1109/peeec63877.2024.00073","authors":["Xintong Han","Songling Zhao","Yike Sang","Mingsheng Chang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-01-17T18:31:39Z","doi":"10.1109/peeec63877.2024.00073","addedAt":"2026-08-31T06:39:57.917Z","updatedAt":"2026-08-31T06:39:57.917Z"},{"id":"doi:10.1109/aris62416.2024.10679963","name":"Human-Robot Collaboration in Unmanned Aerial Vehicle River Patrol Application","source":"crossref","abstract":"","url":"https://doi.org/10.1109/aris62416.2024.10679963","authors":["Chia-Wen Chen","Gong-Yi Lee","Jyi-Shane Liu"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-09-23T17:25:11Z","doi":"10.1109/aris62416.2024.10679963","addedAt":"2026-08-31T06:39:57.917Z","updatedAt":"2026-08-31T06:39:57.917Z"},{"id":"doi:10.3390/s24020680","name":"A Fuzzy-Based System for Autonomous Unmanned Aerial Vehicle Ship Deck Landing","source":"crossref","abstract":"This paper introduces a fuzzy logic-based autonomous ship deck landing system for fixed-wing unmanned aerial vehicles (UAVs). The ship is assumed to maintain a constant course and speed. The aim of this fuzzy logic landing model is to simplify the task of landing UAVs on moving ships in challenging maritime conditions, relieving operators from this demanding task. The designed UAV ship deck landing model is based on a fuzzy logic system (FLS), which comprises three interconnected subsystems (speed, lateral motion, and altitude components). Each subsystem consists of three inputs and one output incorporating various fuzzy rules to account for external factors during ship deck landings. Specifically, the FLS receives five inputs: the range from the deck, the relative wind direction and speed, the airspeed, and the UAV’s flight altitude. The FLS outputs provide data on the speed of the UAV relative to the ship’s velocity, the bank angle (BA), and the angle of descent (AOD) of the UAV. The performance of the designed intelligent ship deck landing system was evaluated using the standard configuration of MATLAB Fuzzy Toolbox.","url":"https://doi.org/10.3390/s24020680","authors":["Ioannis Tsitses","Paraskevi Zacharia","Elias Xidias","Michail Papoutsidakis"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-01-22T12:01:13Z","doi":"10.3390/s24020680","addedAt":"2026-08-31T06:39:57.917Z","updatedAt":"2026-08-31T06:39:57.917Z"},{"id":"doi:10.1109/intcec61833.2024.10602916","name":"Unmanned Aerial Vehicle Detection and Tracking Using Image Segmentation and Bayesian Filtering","source":"crossref","abstract":"","url":"https://doi.org/10.1109/intcec61833.2024.10602916","authors":["Mohammed S. Alshehri","Muhammad Ovais Yusuf","Muhammad Hanzla"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-07-30T17:48:20Z","doi":"10.1109/intcec61833.2024.10602916","addedAt":"2026-08-31T06:39:57.917Z","updatedAt":"2026-08-31T06:39:57.917Z"},{"id":"doi:10.1109/iceeac61226.2024.10576244","name":"Manta Ray Bio-Inspired Tilt Ducted-Fan Unmanned Aerial Vehicle: Mathematical Modeling","source":"crossref","abstract":"","url":"https://doi.org/10.1109/iceeac61226.2024.10576244","authors":["Houari Aoued","Youssouf Meddahi","Abdelghani Zabel"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-07-08T17:22:03Z","doi":"10.1109/iceeac61226.2024.10576244","addedAt":"2026-08-31T06:39:57.917Z","updatedAt":"2026-08-31T06:39:57.917Z"},{"id":"doi:10.1002/9781394166831.ch5","name":"Autonomous Navigation of Unmanned Aerial Vehicle Using Reinforcement Learning","source":"crossref","abstract":"","url":"https://doi.org/10.1002/9781394166831.ch5","authors":["Payal Bansal","Jyotsna Joshi","Surender Hans","Ashwani Kumar"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-11-06T14:18:33Z","doi":"10.1002/9781394166831.ch5","addedAt":"2026-08-31T06:39:57.917Z","updatedAt":"2026-08-31T06:39:57.917Z"},{"id":"doi:10.2139/ssrn.4980812","name":"A Novel Numerical Perspective on Estimating the Mission Reliability of Unmanned Aerial Vehicle Swarm in Multi-Phase","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.4980812","authors":["Jiaqi Wang","Hao Sun","Ying Wu","Long Xie","Xi Liu"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-10-09T02:38:04Z","doi":"10.2139/ssrn.4980812","addedAt":"2026-08-31T06:39:57.917Z","updatedAt":"2026-08-31T06:39:57.917Z"},{"id":"doi:10.3390/drones8070339","name":"Rapid Initialization Method of Unmanned Aerial Vehicle Swarm Based on VIO-UWB in Satellite Denial Environment","source":"crossref","abstract":"In environments where satellite signals are blocked, initializing UAV swarms quickly is a technical challenge, especially indoors or in areas with weak satellite signals, making it difficult to establish the relative position of the swarm. Two common methods for initialization are using the camera for joint SLAM initialization, which increases communication burden due to image feature point analysis, and obtaining a rough positional relationship using prior information through a device such as a magnetic compass, which lacks accuracy. In recent years, visual–inertial odometry (VIO) technology has significantly progressed, providing new solutions. With improved computing power and enhanced VIO accuracy, it is now possible to establish the relative position relationship through the movement of drones. This paper proposes a two-stage robust initialization method for swarms of more than four UAVs, suitable for larger-scale satellite denial scenarios. Firstly, the paper analyzes the Cramér–Rao lower bound (CRLB) problem and the moving configuration problem of the cluster to determine the optimal anchor node for the algorithm. Subsequently, a strategy is used to screen anchor nodes that are close to the lower bound of CRLB, and an optimization problem is constructed to solve the position relationship between anchor nodes through the relative motion and ranging relationship between UAVs. This optimization problem includes quadratic constraints as well as linear constraints and is a quadratically constrained quadratic programming problem (QCQP) with high robustness and high precision. After addressing the anchor node problem, this paper simplifies and improves a fast swarm cooperative positioning algorithm, which is faster than the traditional multidimensional scaling (MDS) algorithm. The results of theoretical simulations and actual UAV tests demonstrate that the proposed algorithm is advanced, superior, and effectively solves the UAV swarm initialization problem under the condition of a satellite signal rejection.","url":"https://doi.org/10.3390/drones8070339","authors":["Runmin Wang","Zhongliang Deng"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-07-22T12:20:38Z","doi":"10.3390/drones8070339","addedAt":"2026-08-31T06:39:57.917Z","updatedAt":"2026-08-31T06:39:57.917Z"},{"id":"doi:10.1109/access.2024.3438079","name":"Guided Genetic Algorithm for Solving Capacitated Vehicle Routing Problem With Unmanned-Aerial-Vehicles","source":"crossref","abstract":"","url":"https://doi.org/10.1109/access.2024.3438079","authors":["Ali Najm Jasim","Lamia Chaari Fourati"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-08-02T13:36:54Z","doi":"10.1109/access.2024.3438079","addedAt":"2026-08-31T06:39:57.917Z","updatedAt":"2026-08-31T06:39:57.917Z"},{"id":"doi:10.1201/9781003539582-10","name":"Design and Analysis of Wing for Unmanned Aerial Vehicle","source":"crossref","abstract":"","url":"https://doi.org/10.1201/9781003539582-10","authors":["Pranit Dhole","Ratnakar Ghorpade","Chetan Patil"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-11-08T08:33:58Z","doi":"10.1201/9781003539582-10","addedAt":"2026-08-31T06:39:57.917Z","updatedAt":"2026-08-31T06:39:57.917Z"},{"id":"doi:10.3390/drones9010011","name":"A Lightweight Anti-Unmanned Aerial Vehicle Detection Method Based on Improved YOLOv11","source":"crossref","abstract":"Research on anti-UAV (anti-unmanned aerial vehicle) detection techniques is essential, since the widespread use of UAVs, while improving convenience, poses several hidden risks to privacy, security, air control, etc. This paper focuses on the challenges of long-distance UAV identification and proposes a lightweight anti-UAV detection method based on improved YOLOv11. Firstly, HWD is imported as the backbone’s downsampling module, which lowers feature loss in the feature extraction procedure while using fewer parameters. A lighter CCFM structure is then used in place of the original neck portion, to improve the model’s capacity to detect small targets and adjust to scale changes. The detection effect on small targets is greatly enhanced by removing the original large-scale detection head and adding a new small-scale detection head in response to the small size of UAV targets. In this paper, experimental validation was carried out using the DUT ANTI-UAV dataset, and, compared to the baseline model YOLOv11, the method we propose improved the P, R, mAP50, and mAP50-05 metrics by 4%, 4.5%, 4.1%, and 4.9%, respectively, and decreased the parameters by 38.4%. However, the FPS declined by roughly 5%. The experimental results show that the improved method we propose has better performance in anti-UAV detection tasks, and the model is more lightweight.","url":"https://doi.org/10.3390/drones9010011","authors":["Yunlong Gao","Yibing Xin","Huan Yang","Yongjuan Wang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-12-25T19:19:32Z","doi":"10.3390/drones9010011","addedAt":"2026-08-31T06:39:57.917Z","updatedAt":"2026-08-31T06:39:57.917Z"},{"id":"doi:10.1117/12.3026332","name":"Improving object detection algorithm for unmanned aerial vehicle aerial images based on YOLOv8","source":"crossref","abstract":"","url":"https://doi.org/10.1117/12.3026332","authors":["Pujie Zhao","Xia Ye","Hantao Xu","Zhangping Yang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-03-27T20:04:42Z","doi":"10.1117/12.3026332","addedAt":"2026-08-31T06:39:57.917Z","updatedAt":"2026-08-31T06:39:57.917Z"},{"id":"doi:10.1117/1.jei.33.2.023017","name":"Saliency-enhanced background-aware correlation filters with dual temporal regularization for unmanned aerial vehicle tracking","source":"crossref","abstract":"","url":"https://doi.org/10.1117/1.jei.33.2.023017","authors":["Wei Zhang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-03-11T01:01:25Z","doi":"10.1117/1.jei.33.2.023017","addedAt":"2026-08-31T06:39:57.917Z","updatedAt":"2026-08-31T06:39:57.917Z"},{"id":"doi:10.55248/gengpi.5.1124.3258","name":"Comparative Analysis of Control Strategies for BLDC Motors in Unmanned Aerial Vehicle (UAV) Propulsion","source":"crossref","abstract":"","url":"https://doi.org/10.55248/gengpi.5.1124.3258","authors":["Kovvuri Akhil Reddy","Datti SyamSundar Rao","Puppala Sharonlilly","Bepala Radha Kumari","Allu Ravanamma","Dosala Vishal","Dr. K. Karthick"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-11-27T05:59:09Z","doi":"10.55248/gengpi.5.1124.3258","addedAt":"2026-08-31T06:39:57.917Z","updatedAt":"2026-08-31T06:39:57.917Z"},{"id":"doi:10.2139/ssrn.4801390","name":"Crack Detection and Segmentation for Bridge Structures Using Two-Stage Neural Network from Unmanned Aerial Vehicle Imagery","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.4801390","authors":["Ruitao Yang","Jiayong Yu","Ruoxian Li","Yilun Xi","Jing Zhou"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-04-20T04:17:37Z","doi":"10.2139/ssrn.4801390","addedAt":"2026-08-31T06:39:57.917Z","updatedAt":"2026-08-31T06:39:57.917Z"},{"id":"doi:10.2139/ssrn.4791427","name":"Total Energy Control System-Based Interval Type-3 Fuzzy Logic Controller for Fixed-Wing Unmanned Aerial Vehicle Longitudinal Flight Dynamics","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.4791427","authors":["abdessamad el mobaraky","Khalid Kouiss","Ahmed Chebak"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-04-11T14:18:13Z","doi":"10.2139/ssrn.4791427","addedAt":"2026-08-31T06:39:57.917Z","updatedAt":"2026-08-31T06:39:57.917Z"},{"id":"doi:10.2139/ssrn.4819147","name":"Trajectory Control for a Quadrotor Unmanned Aerial Vehicle: Adaptive Super-Twisting Terminal Sliding Mode with Adjustable Recurrent Neural Network","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.4819147","authors":["Peike Huang","Zhanshan Zhao","Xinghao Qin","Jixun Li"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-05-07T08:25:29Z","doi":"10.2139/ssrn.4819147","addedAt":"2026-08-31T06:39:57.917Z","updatedAt":"2026-08-31T06:39:57.917Z"},{"id":"doi:10.1145/3669721.3669970","name":"A Rapid Performance Solution and Optimization Design Method for Unmanned Aerial Vehicle Propellers","source":"crossref","abstract":"","url":"https://doi.org/10.1145/3669721.3669970","authors":["Dongchen Wang","Qiang Jia","Tao Wu","Yuwen Yuan","Haiqi Zhou","Xiaojie He","Jinyi Zhou"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-08-22T18:27:01Z","doi":"10.1145/3669721.3669970","addedAt":"2026-08-31T06:39:57.917Z","updatedAt":"2026-08-31T06:39:57.917Z"},{"id":"doi:10.1007/978-3-031-45605-3_1","name":"Overview","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-031-45605-3_1","authors":["Bin Duo","Xiaojun Yuan","Yifan Liu"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-11-20T15:02:43Z","doi":"10.1007/978-3-031-45605-3_1","addedAt":"2026-08-31T06:39:57.917Z","updatedAt":"2026-08-31T06:39:57.917Z"},{"id":"doi:10.31673/2786-8362.2024.026490","name":"FEATURES OF DEVELOPING A MOBILE APPLICATION FOR SERVICE DELIVERY USING UNMANNED AERIAL DELIVERY VEHICLE AND PERSONAL DELIVERY DEVICES","source":"crossref","abstract":"","url":"https://doi.org/10.31673/2786-8362.2024.026490","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-01-29T06:16:07Z","doi":"10.31673/2786-8362.2024.026490","addedAt":"2026-08-31T06:39:57.917Z","updatedAt":"2026-08-31T06:39:57.917Z"},{"id":"doi:10.1117/12.3039498","name":"Estimation of aerodynamic parameters for a certain type of unmanned aerial vehicle","source":"crossref","abstract":"","url":"https://doi.org/10.1117/12.3039498","authors":["Jinhui Ge","Renjun Zhan"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-08-28T15:39:59Z","doi":"10.1117/12.3039498","addedAt":"2026-08-31T06:39:57.917Z","updatedAt":"2026-08-31T06:39:57.917Z"},{"id":"doi:10.1109/igarss53475.2024.10641511","name":"Estimation of Single Tree Height Based on Improved K-Means Method for Unmanned Aerial Vehicle Point Cloud Data","source":"crossref","abstract":"","url":"https://doi.org/10.1109/igarss53475.2024.10641511","authors":["Zefan Zhang","Hao Tang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-09-05T17:56:13Z","doi":"10.1109/igarss53475.2024.10641511","addedAt":"2026-08-31T06:39:57.917Z","updatedAt":"2026-08-31T06:39:57.917Z"},{"id":"doi:10.17559/tv-20240319001414","name":"Research on the Method of Using Wireless Sensing to Detect Indoor People during Fire Based on Unmanned Aerial Vehicle","source":"crossref","abstract":"","url":"https://doi.org/10.17559/tv-20240319001414","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-10-31T16:29:31Z","doi":"10.17559/tv-20240319001414","addedAt":"2026-08-31T06:39:57.917Z","updatedAt":"2026-08-31T06:39:57.917Z"},{"id":"doi:10.1109/icaml64299.2024.00107","name":"Data Governance Method for Unmanned Aerial Vehicle Inspection for Power Grid Equipment Management","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icaml64299.2024.00107","authors":["Sijia Zheng","Xuan Yang","Yajie Zhao","Yawen Gong"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-01-22T20:58:30Z","doi":"10.1109/icaml64299.2024.00107","addedAt":"2026-08-31T06:39:57.917Z","updatedAt":"2026-08-31T06:39:57.917Z"},{"id":"doi:10.1109/icesep62218.2024.10651656","name":"Research on Intelligent Inspection Technology of Distribution Line Unmanned Aerial Vehicle","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icesep62218.2024.10651656","authors":["Qiu Liang","Jingjing Huang","Linmei Wang","Diyu Chen"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-09-06T17:38:15Z","doi":"10.1109/icesep62218.2024.10651656","addedAt":"2026-08-31T06:39:57.917Z","updatedAt":"2026-08-31T06:39:57.917Z"},{"id":"doi:10.1016/j.cropro.2024.106736","name":"Increased outlet design of flat-fan nozzle improves octocopter unmanned aerial vehicle sprayer's efficiency","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.cropro.2024.106736","authors":["Akbar Aliverdi","Abolfazl Aliverdi"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-05-07T16:17:18Z","doi":"10.1016/j.cropro.2024.106736","addedAt":"2026-08-31T06:39:57.917Z","updatedAt":"2026-08-31T06:39:57.917Z"},{"id":"doi:10.1108/ijius-01-2023-0006","name":"The usefulness of sensor fusion for unmanned aerial vehicle indoor positioning","source":"crossref","abstract":"Purpose In this study, an indoor sensor information fusion positioning system of the quadrotor unmanned aerial vehicle (UAV) was investigated to solve the problem of unstable indoor flight positioning. Design/methodology/approach The presented system was built on Light Detection and Ranging (LiDAR), Inertial Measurement Unit (IMU) and LiDAR-Lite devices. Based on this, one can obtain the aircraft's current attitude and the position vector relative to the target and control the attitudes and positions of the UAV to reach the specified target positions. While building a UAV positioning model relative to the target for indoor positioning scenarios under limited Global Navigation Satellite Systems (GNSS), the system detects the environment through the NVIDIA Jetson TX2 (Transmit Data) peripheral sensor, obtains the current attitude and the position vector of the UAV, packs the data in the format and delivers it to the flight controller. Then the flight controller controls the UAV by calculating the posture to reach the specified target position. Findings The authors used two systems in the experiment. The first is the proposed UAV, and the other is the Vicon system, our reference system for comparison purposes. Vicon positioning error can be considered lower than 2 mm from low to high-speed experiments. After comparison, experimental results demonstrated that the system could fully meet the requirements (less than 50 mm) in real-time positioning of the indoor quadrotor UAV flight. It verifies the accuracy and robustness of the proposed method compared with that of Vicon and achieves the aim of a stable indoor flight preliminarily. Originality/value Vicon positioning error can be considered lower than 2 mm from low to high-speed experiments. After comparison, experimental results demonstrated that the system could fully meet the requirements (less than 50 mm) in real-time positioning of the indoor quadrotor UAV flight. It verifies the accuracy and robustness of the proposed method compared with that of Vicon and achieves the aim of a stable indoor flight preliminarily.","url":"https://doi.org/10.1108/ijius-01-2023-0006","authors":["Hang Guo","Xin Chen","Min Yu","Marcin Uradziński","Liang Cheng"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-04-28T05:08:50Z","doi":"10.1108/ijius-01-2023-0006","addedAt":"2026-08-31T06:39:57.917Z","updatedAt":"2026-08-31T06:39:57.917Z"},{"id":"doi:10.1109/icmmt61774.2024.10671775","name":"Circularly Polarized Spherical Array Antenna for Unmanned Aerial Vehicle Interference","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icmmt61774.2024.10671775","authors":["Kaicheng Weng","Conghui Zhang","Fang Zhu","Yufeng Yu","Zhen Liao"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-09-25T17:27:24Z","doi":"10.1109/icmmt61774.2024.10671775","addedAt":"2026-08-31T06:39:57.917Z","updatedAt":"2026-08-31T06:39:57.917Z"},{"id":"doi:10.3846/transport.2024.23159","name":"Computer-aided simulation of unmanned aerial vehicle composite structure dynamics","source":"crossref","abstract":"The dynamic response of an aerial vehicle structure is a key parameter that must be determined before further aeroelastic phenomena can be analysed in the aerospace sector. Natural frequencies, mode shapes, and damping can be measured or predicted through experimental, operational, or computational studies. To reduce the costs and complexity of experimental investigations, there is a demand for numerical models that accurately represent the structure′s dynamic behaviour. This article focuses on modelling composite structures, which are increasingly utilised in the aerospace industry and whose dynamic properties are heavily influenced by fibre directionality. ANSYS software and the ACP module were employed to develop a numerical model of a wet Epoxy Carbon UD (230 GPa) composite commonly used in Unmanned Aerial Vehicle (UAV) components. Ten layers of 0.1 mm thick carbon fibre were incorporated into the model to create a 1 mm thick composite plate, with fibres oriented at 0°, 30°, 45°, and 90° relative to the horizontal direction of the plate. The simulations demonstrated that careful consideration and modelling of the material significantly impact the values of natural frequencies and, more importantly, the mode shapes. First published online 28 January 2025","url":"https://doi.org/10.3846/transport.2024.23159","authors":["Artur Kierzkowski","Tomasz Kisiel","Maciej Milewski","Ádám Török","Michał Stosiak","Jakub Wróbel"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-01-29T13:10:29Z","doi":"10.3846/transport.2024.23159","addedAt":"2026-08-31T06:39:57.917Z","updatedAt":"2026-08-31T06:39:57.917Z"},{"id":"doi:10.1145/3712335.3712381","name":"Knowledge Graph of Unmanned Aerial Vehicle Reconnaissance Research","source":"crossref","abstract":"","url":"https://doi.org/10.1145/3712335.3712381","authors":["Xiaodong Zhang","Xi Qin","Juesong Cai"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-02-18T11:57:06Z","doi":"10.1145/3712335.3712381","addedAt":"2026-08-31T06:39:57.917Z","updatedAt":"2026-08-31T06:39:57.917Z"},{"id":"doi:10.5937/oteh24003i","name":"Aerodynamic optimization of winglets for an Unmanned Aerial Vehicle","source":"crossref","abstract":"The main aim of this paper was to determine the influence of different parameters of winglet design on overall Unmanned Aerial Vehicle (UAV) aerodynamics. Looking from an aerodynamicist's point of view, the main reason for using such wingtip devices is to reduce induced drag component, which noticeably contributes to total drag when flying both in cruising flight and on higher angles of attack at lower speeds. Significant benefits of using winglets on overall aircraft performance include reduced fuel burn, increased maximum range and endurance, and higher cruise altitude. Total drag of a simplified mock-up of an existing tactical UAV was calculated using hybrid approach. Parasite drag was obtained using analytical and semi empirical methods, while the induced drag and the lift in its linear domain were determined using inviscid CFD model based on a 3D vortex lattice method (VLM). Computational analyses were focused on determining the influence of winglet cant angle, root chord length, span, airfoil, and twist angle on lift-to-drag ratio of the UAV. Results obtained for different types of winglets (straight, blended and elliptical) were compared, and the best performing in the prescribed dimensions were the elliptical winglets. Their geometry was further optimized, finally providing an overall lift-to-drag ratio increase of 7% compared to the original UAV design without winglets, which represents quite remarkable improvement.","url":"https://doi.org/10.5937/oteh24003i","authors":["Dušan Ivković","Ivan Kostić","Olivera Kostić","Mirko Dinulović","Aleksandar Simonović"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-10-11T14:06:16Z","doi":"10.5937/oteh24003i","addedAt":"2026-08-31T06:39:57.917Z","updatedAt":"2026-08-31T06:39:57.917Z"},{"id":"doi:10.1109/tssa63730.2024.10863848","name":"Design and Implementation of Commercial 2.45GHz Wireless Power Transmission System for Unmanned Aerial Vehicle (UAV)","source":"crossref","abstract":"","url":"https://doi.org/10.1109/tssa63730.2024.10863848","authors":["Lisdatul Alifa","Joko Suryana"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-02-06T13:34:03Z","doi":"10.1109/tssa63730.2024.10863848","addedAt":"2026-08-31T06:39:57.917Z","updatedAt":"2026-08-31T06:39:57.917Z"},{"id":"doi:10.1117/12.3050124","name":"Application of unmanned aerial vehicle in power grid inspection","source":"crossref","abstract":"","url":"https://doi.org/10.1117/12.3050124","authors":["Lintao Wang","Long Yan","Wei Liu","Ge Tian","Gang Wang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-11-12T18:16:23Z","doi":"10.1117/12.3050124","addedAt":"2026-08-31T06:39:57.917Z","updatedAt":"2026-08-31T06:39:57.917Z"},{"id":"doi:10.32604/jai.2024.047642","name":"A Real-Time Localization Algorithm for Unmanned Aerial Vehicle Based on Continuous Images Processing","source":"crossref","abstract":"","url":"https://doi.org/10.32604/jai.2024.047642","authors":["Peng Geng","Annan Yang","Yan Liu"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-03-25T07:13:11Z","doi":"10.32604/jai.2024.047642","addedAt":"2026-08-31T06:39:57.917Z","updatedAt":"2026-08-31T06:39:57.917Z"},{"id":"doi:10.3390/drones8090422","name":"Enhancing Unmanned Aerial Vehicle Task Assignment with the Adaptive Sampling-Based Task Rationality Review Algorithm","source":"crossref","abstract":"As the application areas of unmanned aerial vehicles (UAVs) continue to expand, the importance of UAV task allocation becomes increasingly evident. A highly effective and efficient UAV task assignment method can significantly enhance the quality of task completion. However, traditional heuristic algorithms often perform poorly in complex and dynamic environments, and existing auction-based algorithms typically fail to ensure optimal assignment results. Therefore, this paper proposes a more rigorous and comprehensive mathematical model for UAV task assignment. By introducing task path decision variables, we achieve a mathematical description of UAV task paths and propose collaborative action constraints. To balance the benefits and efficiency of task assignment, we introduce a novel method: the Adaptive Sampling-Based Task Rationality Review Algorithm (ASTRRA). In the ASTRRA, to address the issue of high-value tasks being easily overlooked when the sampling probability decreases, we propose an adaptive sampling strategy. This strategy increases the sampling probability of high-value targets, ensuring a balance between computational efficiency and maximizing task value. To handle the coherence issues in UAV task paths, we propose a task review and classification method. This method involves reviewing issues in UAV task paths and conducting classified independent auctions, thereby improving the overall task assignment value. Additionally, to resolve the crossover problems between UAV task paths, we introduce a crossover path exchange strategy, further optimizing the task assignment scheme and enhancing the overall value. Experimental results demonstrate that the ASTRRA exhibits excellent performance across various task scales and dynamic scenarios, showing strong robustness and effectively improving task assignment outcomes.","url":"https://doi.org/10.3390/drones8090422","authors":["Cheng Sun","Yuwen Yao","Enhui Zheng"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-08-26T03:32:01Z","doi":"10.3390/drones8090422","addedAt":"2026-08-31T06:39:57.917Z","updatedAt":"2026-08-31T06:39:59.808Z"},{"id":"doi:10.1109/icsintesa62455.2024.10748193","name":"Optimization of the Unmanned Aerial Vehicle Route Based on Chimpanzee Leader Election Optimization","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icsintesa62455.2024.10748193","authors":["Ferry Wahyu Wibowo","Wihayati"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-11-14T18:35:39Z","doi":"10.1109/icsintesa62455.2024.10748193","addedAt":"2026-08-31T06:39:57.917Z","updatedAt":"2026-08-31T06:39:57.917Z"},{"id":"doi:10.1007/978-3-031-45321-2_10","name":"Non-linear System Identification for UAS Adaptive Control","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-031-45321-2_10","authors":["Sean Bazzocchi","Afzal Suleman"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-11-17T17:03:08Z","doi":"10.1007/978-3-031-45321-2_10","addedAt":"2026-08-31T06:39:57.917Z","updatedAt":"2026-08-31T06:39:57.917Z"},{"id":"doi:10.1145/3640824.3640849","name":"Decentralized Flocking Algorithm of Unmanned Aerial Vehicle Swarm System with Obstacles","source":"crossref","abstract":"","url":"https://doi.org/10.1145/3640824.3640849","authors":["Tian Zhang","Jiunn Yea Ng","Vin Cent Tai"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-03-08T12:05:28Z","doi":"10.1145/3640824.3640849","addedAt":"2026-08-31T06:39:57.917Z","updatedAt":"2026-08-31T06:39:57.917Z"},{"id":"doi:10.1109/acpee60788.2024.10532761","name":"Health Status Assessment Method Considering Multiple Factors for Substation Unmanned Aerial Vehicle","source":"crossref","abstract":"","url":"https://doi.org/10.1109/acpee60788.2024.10532761","authors":["Yucheng Qian","Changwei Zhao","Weiming Huang","Shudong Wang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-05-24T17:19:03Z","doi":"10.1109/acpee60788.2024.10532761","addedAt":"2026-08-31T06:39:57.917Z","updatedAt":"2026-08-31T06:39:57.917Z"},{"id":"doi:10.2139/ssrn.5035574","name":"Field Maize Agb Estimation Based on Partial Pixel Integration (PPI) of Unmanned Aerial Vehicle (Uav) Imagery","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.5035574","authors":["Ying Yang","Lu Xu","Siheng Cao","Tingting Kang","Xifeng Zhang","Jianguo Li"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-11-27T06:37:20Z","doi":"10.2139/ssrn.5035574","addedAt":"2026-08-31T06:39:57.917Z","updatedAt":"2026-08-31T06:39:57.917Z"},{"id":"doi:10.1142/s0218348x25500057","name":"STABILITY ANALYSIS OF A FRACTIONAL ORDERED QUADROTOR UNMANNED AERIAL VEHICLE CHAOTIC SYSTEM","source":"crossref","abstract":"A Caputo fractional-order derivative is used in a Quadrotor Unmanned Aerial Vehicle (QUAV) chaotic system to transform it into fractional ordered QUAV (FoQUAV) chaotic system for the first time. Therefore, this study explores three control (adaptive, active, and passive) strategies applied on the FoQUAV system. Further, utilizing Lyapunov theory, we established global stability around the equilibrium point and conducted numerical simulations for validation and comparison. In this work, adaptive control technique is used by considering [Formula: see text], [Formula: see text], and [Formula: see text] as unknown parameters and are derived using updated law. Similarly, active control technique is derived using two sub-controllers including [Formula: see text] with [Formula: see text]; linear and [Formula: see text]; nonlinear controllers, respectively. Finally, a feedback linearization-based, passive controller is used, which has predefined control input and converges to a stable equilibria. Moreover, this work also revealed, during performing numerical simulations, that the open loop system stabilizes at times [Formula: see text] s, [Formula: see text] s, and [Formula: see text] s, respectively, for adaptive, active, and passive controllers. Finally, the passive controller face several challenges during stabilizing the yaw of a considered system and overall is proved that adaptive controller perform best with respect to time consumption and quick performance in comparison.","url":"https://doi.org/10.1142/s0218348x25500057","authors":["LAMIA LOUDAHI","JING YUAN","FATENE DIOUBI"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-11-21T00:43:34Z","doi":"10.1142/s0218348x25500057","addedAt":"2026-08-31T06:39:57.917Z","updatedAt":"2026-08-31T06:40:05.993Z"},{"id":"doi:10.3390/aerospace11120980","name":"A Robust Adaptive PID-like Controller for Quadrotor Unmanned Aerial Vehicle Systems","source":"crossref","abstract":"This paper introduces a stable adaptive PID-like control scheme for quadrotor Unmanned Aerial Vehicle (UAV) systems. The PID-like controller is designed to closely estimate an ideal controller to meet specific control objectives, with its gains being dynamically adjusted through a stable adaptation process. The adaptation process aims to reduce the discrepancy between the ideal controller and the PID-like controller in use. This method is considered model-free, as it does not require knowledge of the system’s mathematical model. The stability analysis performed using a Lyapunov method demonstrates that every signal in the closed-loop system is Uniformly Ultimately Bounded (UUB). The effectiveness of the proposed PID-like controller is validated through simulations on a quadrotor for path following, ensuring accurate monitoring of the target positions and yaw angle. Simulation results highlight the performance of this control scheme.","url":"https://doi.org/10.3390/aerospace11120980","authors":["Ahsene Boubakir","Toufik Souanef","Salim Labiod","James F. Whidborne"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-11-27T11:26:08Z","doi":"10.3390/aerospace11120980","addedAt":"2026-08-31T06:39:57.917Z","updatedAt":"2026-08-31T06:39:57.917Z"},{"id":"doi:10.18011/bioeng.2024.v18.1219","name":"Bean yield estimation using unmanned aerial vehicle imagery","source":"crossref","abstract":"The common bean is a crop of substantial socioeconomic importance that is cultivated throughout the Brazilian territory. Despite that, studies conducted so far have shown limitations in the methodologies used for yield estimation. In this sense, emerging technologies such as unmanned aerial vehicles (UAVs) can help both in crop monitoring and in assessing crop yield. Therefore, this study aimed: (1) to estimate the bean yield using spectral variables derived from UAV imagery and (2) to define the best vegetative stage for yield estimation. For this, data from a field experiment were used. The beans were planted in a conventional system in an area of 600 m² (20 x 30 m). During the crop cycle, six flights were carried out using a UAV equipped with a five-band multispectral camera (Red, Green, Blue, Red Edge, and Near-infrared). After that, 10 spectral variables composed of the bands and five vegetation indices (VIs) were obtained. At the end of the season, the area was harvested, and the yield (kg ha-1) was determined. Then, the data was submitted to correlation (r), and regression analysis. Overall, all developed models showed moderate performance, but in accordance with the literature, with R² and RMSE values ranging from 0.52 to 0.57 and from 252.79 to 208.84 kg ha-1, respectively. Regarding the best vegetative stage for yield estimation, the selected models used data from the second flight (52 days after planting) at the beginning of pod formation and filling (between stages R7 and R8).","url":"https://doi.org/10.18011/bioeng.2024.v18.1219","authors":["Diane Gomes Campos","Rodrigo Nogueira Martins"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-06-06T23:29:41Z","doi":"10.18011/bioeng.2024.v18.1219","addedAt":"2026-08-31T06:39:57.917Z","updatedAt":"2026-08-31T06:39:57.917Z"},{"id":"doi:10.31181/rme313","name":"A Parametric Study on Design Variables for Solar Powered Long Endurance Unmanned Aerial Vehicle","source":"crossref","abstract":"Solar-powered long-endurance unmanned aerial vehicles (UAVs) offer significant potential for various applications due to their extended flight endurance. However, optimizing the design of solar-powered UAVs to achieve maximum efficiency and performance remains a complex challenge. The main objective of this research is to explore the sensitivity of solar-powered UAV mass to different design variables and technological constraints. The study employs a conceptual design methodology, iterating through various design configurations while specific design variables within bounds of historical data. Key parameters, including aspect ratio, wing span, payload mass, power consumption, cruise altitude, and technological constraints such as solar panel efficiency and battery energy density, are systematically varied to analyze their impact on UAV mass. The study also considers the influence cloud cover on solar power generation. This parametric study's results divulge solar-powered UAV mass's sensitivity to these design variables and technological constraints. By identifying key factors influencing UAV mass, the study offers actionable insights for designers and engineers in aerospace industry. The findings contribute to advancing the understanding of solar-powered UAV technology and lay the groundwork for future research and development initiatives to enhance UAV performance and efficiency.","url":"https://doi.org/10.31181/rme313","authors":["Aun Haider"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-06-22T17:42:47Z","doi":"10.31181/rme313","addedAt":"2026-08-31T06:39:57.917Z","updatedAt":"2026-08-31T06:39:57.917Z"},{"id":"doi:10.3390/engproc2025088049","name":"Exploitation of 5G, LTE, and Automatic Identification System Signals for Fallback Unmanned Aerial Vehicle Navigation","source":"crossref","abstract":"","url":"https://doi.org/10.3390/engproc2025088049","authors":["Adrian Winter","Aiden Morrison","Oliver Hasler","Nadezda Sokolova"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-05-13T06:39:56Z","doi":"10.3390/engproc2025088049","addedAt":"2026-08-31T06:39:57.917Z","updatedAt":"2026-08-31T06:40:05.993Z"},{"id":"doi:10.3390/aerospace11070561","name":"Stealth Unmanned Aerial Vehicle Penetration Efficiency Optimization Based on Radar Detection Probability Model","source":"crossref","abstract":"Aerodynamic/stealth optimization is a key issue during the design of a stealth UAV. Balancing the weight of different incident angles of the RCS and combining stealth characteristics with aerodynamic characteristics are hotspots of aerodynamic/stealth optimization. To address this issue, this paper introduces a radar detection probability model to solve the weight balance problem of incident angles of the RCS and a penetration efficiency model to transfer the multi-object optimization into single-objective optimization. In this paper, a parameterized model of a flying-wing UAV is selected as the research object. A gradient-free optimization algorithm based on the genetic algorithm is used for maximizing efficiency. The optimization model balances the influence of the RCS mean value and RCS peak value on stealth performance. Moreover, the model achieves an optimal entire life cycle penetration efficiency coefficient by balancing aerodynamic and stealth optimization. The results show that the optimized model improves the penetration efficiency coefficient by 13.84% and increases maximum flight sorties by 1.8%. These results prove that the model has a reasonable combination of aerodynamic and stealth optimization for UAVs undertaking penetration missions.","url":"https://doi.org/10.3390/aerospace11070561","authors":["Chengen Yuan","Dongli Ma","Yuhong Jia","Liang Zhang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-07-09T07:16:07Z","doi":"10.3390/aerospace11070561","addedAt":"2026-08-31T06:39:57.917Z","updatedAt":"2026-08-31T06:39:57.917Z"},{"id":"doi:10.3390/f15081374","name":"Assessment of Trees’ Structural Defects via Hybrid Deep Learning Methods Used in Unmanned Aerial Vehicle (UAV) Observations","source":"crossref","abstract":"Trees’ structural defects are responsible for the reduction in forest product quality and the accident of tree collapse under extreme environmental conditions. Although the manual view inspection for assessing tree health condition is reliable, it is inefficient in discriminating, locating, and quantifying the defects with various features (i.e., crack and hole). There is a general need for investigation of efficient ways to assess these defects to enhance the sustainability of trees. In this study, the deep learning algorithms of lightweight You Only Look Once (YOLO) and encoder-decoder network named DeepLabv3+ are combined in unmanned aerial vehicle (UAV) observations to evaluate trees’ structural defects. Experimentally, we found that the state-of-the-art detector YOLOv7-tiny offers real-time (i.e., 50–60 fps) and long-range sensing (i.e., 5 m) of tree defects but has limited capacity to acquire the patterns of defects at the millimeter scale. To address this limitation, we further utilized DeepLabv3+ cascaded with different network architectures of ResNet18, ResNet50, Xception, and MobileNetv2 to obtain the actual morphology of defects through close-range and pixel-wise image semantic segmentation. Moreover, the proposed hybrid scheme YOLOv7-tiny_DeepLabv3+_UAV assesses tree’s defect size with an averaged accuracy of 92.62% (±6%).","url":"https://doi.org/10.3390/f15081374","authors":["Qiwen Qiu","Denvid Lau"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-08-06T15:24:16Z","doi":"10.3390/f15081374","addedAt":"2026-08-31T06:39:57.917Z","updatedAt":"2026-08-31T06:39:57.917Z"},{"id":"doi:10.14716/ijtech.v15i3.5644","name":"Technical Loopholes and Trends in Unmanned Aerial Vehicle Communication Systems","source":"crossref","abstract":"","url":"https://doi.org/10.14716/ijtech.v15i3.5644","authors":["Wasswa Shafik","Kassim Kalinaki","S. Mojtaba Matinkhah"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-05-17T10:13:39Z","doi":"10.14716/ijtech.v15i3.5644","addedAt":"2026-08-31T06:39:57.917Z","updatedAt":"2026-08-31T06:39:57.917Z"},{"id":"doi:10.12694/scpe.v25i3.2700","name":"Optimization of Unmanned Aerial Vehicle Flight Control Sensor Control System based on Deep Learning Model","source":"crossref","abstract":"Based on data modelling strategies have created reliable classifier designs for various classes and other neural network applications. The fact that modelling complexity rises with the total number of groups in the system does is one of the approach's major shortcomings. No matter how well it performs, it could make the classifier's design ugly. This article discusses the development of a novel, logic-based Optimum Bayesian Gaussian process (OBGP) classifier to reduce the number of separate empirical models required to accurately detect various fault types in industrial processes. The precision of the OBGP classifier's defining faults also contrasts with the results of other approaches documented in the literature.","url":"https://doi.org/10.12694/scpe.v25i3.2700","authors":["Ji Liu"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-04-12T17:49:29Z","doi":"10.12694/scpe.v25i3.2700","addedAt":"2026-08-31T06:39:57.917Z","updatedAt":"2026-08-31T06:39:57.917Z"},{"id":"doi:10.1109/access.2024.3510736","name":"Reactive Trajectory Generation of Unmanned Aerial Vehicle Incorporating Fuzzy C-Means Clustering and Optimization Problem-based Guidance","source":"crossref","abstract":"","url":"https://doi.org/10.1109/access.2024.3510736","authors":["Jongho Park","Seokwon Lee"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-12-04T19:13:36Z","doi":"10.1109/access.2024.3510736","addedAt":"2026-08-31T06:39:57.917Z","updatedAt":"2026-08-31T06:39:57.917Z"},{"id":"doi:10.26833/ijeg.1422619","name":"Effects of camera calibration on the accuracy of Unmanned Aerial Vehicle sensor products","source":"crossref","abstract":"The utilisation of Unmanned Aerial Vehicles (UAV) mounted with non-metric consumer-grade digital cameras is on the rise globally due to their affordability and ease of operation. For high-accuracy UAV products, accurate camera parameters must be determined through camera calibration. Camera calibration can be performed before (pre-calibration) or during the bundle block adjustment (self-calibration). This study aims to analyse the effect of camera calibration parameters on the accuracy of UAV products, namely the Digital Elevation Model (DEM) and orthoimage. Camera calibration parameters are estimated using self-calibration, which deploys 3D image information of the scene in a bundle adjustment, and a 2D reference object-based approach known as Zhang's technique, which requires image information of a planar pattern. This study deployed a DJI FC220 camera mounted on a DJI Mavic Pro UAV. Self-calibration was deployed in Agisoft Metashape software based on Brown's method, and Zhang's technique was deployed in MATLAB and OpenCV. Based on internal accuracy measures, OpenCV yields a minor reprojection error of 0.14, followed by MATLAB (0.79) and self-calibration (1.21). Processing without calibration yields the highest reprojection error of 2.18. Based on external measures of accuracy, that is, the geometric accuracy of UAV products, self-calibration yields the least RMSE of 8.2 and 1.4 cm for the horizontal and vertical, respectively, followed by Zhang's technique with 9.6 and 2.3 cm in MATLAB and 13.5 and 4.3 cm in OpenCV. Processing without calibration yields the highest vertical RMSE of 20.0 and 22.9 cm for the horizontal and vertical, respectively. Comparison of the accuracy of UAV mapping products computed with and without calibration emphasises the need for camera calibration to optimise the accuracy of UAV products. This study recommends assessing other photogrammetric mapping software and camera calibration approaches and the effect of flying heights on calibration parameters and mapping accuracy","url":"https://doi.org/10.26833/ijeg.1422619","authors":["Dianah Rose Abeho","Moreblessings Shoko","Patroba Achola Odera"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-11-08T20:15:18Z","doi":"10.26833/ijeg.1422619","addedAt":"2026-08-31T06:39:57.917Z","updatedAt":"2026-08-31T06:39:57.917Z"},{"id":"doi:10.2139/ssrn.4718075","name":"Research on Unmanned Aerial Vehicle Variable Application Decision Based on Crop Canopy Morphology Perception","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.4718075","authors":["Shaoyong Luo  Shao Luo","Shaoyong Lou","Sheng Wen","Lei Zhang","Yubin Lan","Xiaoshuai Chen"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-02-06T09:19:17Z","doi":"10.2139/ssrn.4718075","addedAt":"2026-08-31T06:39:57.917Z","updatedAt":"2026-08-31T06:39:57.917Z"},{"id":"doi:10.1117/1.jei.33.5.053003","name":"Vis-YOLO: a lightweight and efficient image detector for unmanned aerial vehicle small objects","source":"crossref","abstract":"","url":"https://doi.org/10.1117/1.jei.33.5.053003","authors":["Xiangyu Deng","Jiangyong Du"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-09-03T09:15:11Z","doi":"10.1117/1.jei.33.5.053003","addedAt":"2026-08-31T06:39:57.917Z","updatedAt":"2026-08-31T06:39:57.917Z"},{"id":"doi:10.56244/formateks.v2i2.850","name":"Analisis Kekuatan Struktur Pada Tail Prototype Unmanned Aerial Vehicle X. 7/4 Dengan Modifikasi Alumunium 2024-T3","source":"crossref","abstract":"Tail merupakan bagian pesawat paling belakang yang memiliki bagian flight control. Kekuatan struktur tail sangat diperhatikan dalam pembuatan pesawat termasuk pembuatan pesawat UAV, pada penelitian ini untuk menghitung tegangan maximum, serta menghitung nilai margin of safety dari tail. Nilai margin of safety menjadi acuan untuk mengetahui batas keamanan struktur tail pada pesawat dalam setiap kondisi pesawat saat terbang. Pada pengujian tail pesawat UAV ini dilakukan dengan menggunakan software ABAQUS. Jenis material yang digunakan yaitu Alumunium 2024-T3, Hasil analisis pada struktur tail menunjukkan bahwa analisis pada bagian horizontal stabilizer kondisi climb memperoleh stress maximum yaitu 175,1 MPa dan displacement maximum yaitu 1,9 mm sehingga memperoleh nilai margin of safety yaitu 1,19. Pada Verticalstabilizer kondisi climb memperoleh stress maximum 54,33 MPa dan displacement maximum yaitu 4,4 mm, sehingga memperoleh nilai margin of safety yaitu 6,08. Berdasarkan hasil analisis pada struktur tail, bahwa struktur tersebut memiliki kekuatan yang mampu untuk menahan beban – beban yang terjadi selama operasi pesawat.","url":"https://doi.org/10.56244/formateks.v2i2.850","authors":["Michelle Kartika Paschaline Satiyono"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-08-08T05:07:44Z","doi":"10.56244/formateks.v2i2.850","addedAt":"2026-08-31T06:39:57.917Z","updatedAt":"2026-08-31T06:39:57.917Z"},{"id":"doi:10.5109/7326960","name":"Unmanned Aerial Vehicle Surveillance and Monitoring System Based on IoT","source":"crossref","abstract":"","url":"https://doi.org/10.5109/7326960","authors":["Mukesh Kumar Ojha","Amrita Rai","Satheesh Kumar Jagannathan","Om prakash","Prabhat Kumar Mishra"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-01-11T17:13:07Z","doi":"10.5109/7326960","addedAt":"2026-08-31T06:39:57.917Z","updatedAt":"2026-08-31T06:39:57.917Z"},{"id":"doi:10.36652/0869-4931-2024-78-7-307-310","name":"Development of a correction algorithm for the integrated navigation system of an unmanned aerial vehicle in the landing task on a moving platform","source":"crossref","abstract":"The task of landing an unmanned aerial vehicle on the platform of an unmanned vehicle is considered. Determination of the navigation parameters for an unmanned aerial vehicle is carried out by using an inertial navigation system integrated with a satellite navigation system. To correct the integrated system, an adaptive estimation algorithm, which is capable of functioning in the absence of a priori information about noise statistics and in the presence of anomalous measurements is used. Keywords unmanned aerial vehicle, unmanned vehicle, landing, integrated navigation system, correction, adaptive estimation algorithm","url":"https://doi.org/10.36652/0869-4931-2024-78-7-307-310","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-08-13T08:27:44Z","doi":"10.36652/0869-4931-2024-78-7-307-310","addedAt":"2026-08-31T06:39:57.917Z","updatedAt":"2026-08-31T06:39:57.917Z"},{"id":"doi:10.1117/12.3039804","name":"Unmanned aerial vehicle mountain path planning based on improved genetic algorithm","source":"crossref","abstract":"","url":"https://doi.org/10.1117/12.3039804","authors":["Xueying Zhao","Haolun Zhang","Yufeng Li"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-09-04T11:50:35Z","doi":"10.1117/12.3039804","addedAt":"2026-08-31T06:39:57.917Z","updatedAt":"2026-08-31T06:39:57.917Z"},{"id":"doi:10.21177/1998-4502-2024-16-4-1833-1848","name":"Application of unmanned aerial vehicle in topographical surveying: a review","source":"crossref","abstract":"UAV technology is currently routinely utilized to generate topographic maps. This paper summarizes recent publications on the use of unmanned aerial vehicle (UAV) technology for terrain mapping based on the results of 50 research published from 2010 to January 2025. The obtained results showed that the UAV method with photogrammetry, lidar, and GSNN technologies are useful techniques for producing topographical maps. Also included in this study are some of the technology’s drawbacks and advantages. Finally, the prospects of development of methods such as AI-powered UAVs, Multiple sensors UAV, swarm UAVs, UAVs and IoT, smart sensors were also presented. This study provides a technical reference for advancing knowledge and comprehension of UAV applications in creating the topographic maps.","url":"https://doi.org/10.21177/1998-4502-2024-16-4-1833-1848","authors":["Luu Tuan"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-03-25T15:51:17Z","doi":"10.21177/1998-4502-2024-16-4-1833-1848","addedAt":"2026-08-31T06:39:57.917Z","updatedAt":"2026-08-31T06:39:57.917Z"},{"id":"doi:10.48550/arxiv.2404.10605","name":"UAV Trajectory Optimization for Sensing Exploiting Target Location Distribution Map","source":"datacite","abstract":"In this paper, we study the trajectory optimization of a cellular-connected unmanned aerial vehicle (UAV) which aims to sense the location of a target while maintaining satisfactory communication quality with the ground base stations (GBSs). In contrast to most existing works which assumed the target's location is known, we focus on a more challenging scenario where the exact location of the target to be sensed is unknown and random, while its distribution is known a priori and stored in a novel target location distribution map. Based on this map, the probability for the UAV to successfully sense the target can be expressed as a function of the UAV's trajectory. We aim to optimize the UAV's trajectory between two pre-determined locations to maximize the overall sensing probability during its flight, subject to a GBS-UAV communication quality constraint at each time instant and a maximum mission completion time constraint. Despite the non-convexity and NP-hardness of this problem, we devise three high-quality suboptimal solutions tailored for it with polynomial complexity. Numerical results show that our proposed designs outperform various benchmark schemes.","url":"https://doi.org/10.48550/arxiv.2404.10605","authors":["Du, Xiangming","Zhang, Shuowen","Liu, Liang"],"tags":["Information Theory (cs.IT)","Systems and Control (eess.SY)","FOS: Computer and information sciences","FOS: Computer and information sciences","FOS: Electrical engineering, electronic engineering, information engineering","FOS: Electrical engineering, electronic engineering, information engineering"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.48550/arxiv.2404.10605","addedAt":"2026-08-31T06:39:57.918Z","updatedAt":"2026-08-31T06:39:57.918Z"},{"id":"doi:10.5281/zenodo.10948601","name":"UAV-derived DEM and DOM along the co-seismic surface ruptures produced by the Mw5.7 aftershock during the 22-01-2024, Mw7.0 Wushi earthquake, Xinjiang, China","source":"datacite","abstract":"This unmanned aerial vehicle (UAV) dataset was acquired by a DJI Matrice 300 RTK and a DJI Phantom 4 Pro, on February 3 and 5, 2024, respectively. The Digital Elevation Model (DEM) and Digital Orthophoto Map (DOM) were processed using the Agisoft Metashape Professional software. These data were used to map the co-seismic surface ruptures produced by the 29-01-2024, Mw5.7 aftershock following the 22-01-2024 Mw7.0 Wushi mainshock, Xinjiang, China, and to measure the associated vertical offsets along the surface ruptures.","url":"https://doi.org/10.5281/zenodo.10948601","authors":["Pan, Jiawei"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.5281/zenodo.10948601","addedAt":"2026-08-31T06:39:57.918Z","updatedAt":"2026-08-31T06:39:57.918Z"},{"id":"doi:10.5281/zenodo.10948602","name":"UAV-derived DEM and DOM along the co-seismic surface ruptures produced by the Mw5.7 aftershock during the 22-01-2024, Mw7.0 Wushi earthquake, Xinjiang, China","source":"datacite","abstract":"This unmanned aerial vehicle (UAV) dataset was acquired by a DJI Matrice 300 RTK and a DJI Phantom 4 Pro, on February 3 and 5, 2024, respectively. The Digital Elevation Model (DEM) and Digital Orthophoto Map (DOM) were processed using the Agisoft Metashape Professional software. These data were used to map the co-seismic surface ruptures produced by the 29-01-2024, Mw5.7 aftershock following the 22-01-2024 Mw7.0 Wushi mainshock, Xinjiang, China, and to measure the associated vertical offsets along the surface ruptures.","url":"https://doi.org/10.5281/zenodo.10948602","authors":["Pan, Jiawei"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.5281/zenodo.10948602","addedAt":"2026-08-31T06:39:57.918Z","updatedAt":"2026-08-31T06:39:57.918Z"},{"id":"doi:10.48550/arxiv.2404.06726","name":"UAV-Assisted Enhanced Coverage and Capacity in Dynamic MU-mMIMO IoT Systems: A Deep Reinforcement Learning Approach","source":"datacite","abstract":"This study focuses on a multi-user massive multiple-input multiple-output (MU-mMIMO) system by incorporating an unmanned aerial vehicle (UAV) as a decode-and-forward (DF) relay between the base station (BS) and multiple Internet-of-Things (IoT) devices. Our primary objective is to maximize the overall achievable rate (AR) by introducing a novel framework that integrates joint hybrid beamforming (HBF) and UAV localization in dynamic MU-mMIMO IoT systems. Particularly, HBF stages for BS and UAV are designed by leveraging slow time-varying angular information, whereas a deep reinforcement learning (RL) algorithm, namely deep deterministic policy gradient (DDPG) with continuous action space, is developed to train the UAV for its deployment. By using a customized reward function, the RL agent learns an optimal UAV deployment policy capable of adapting to both static and dynamic environments. The illustrative results show that the proposed DDPG-based UAV deployment (DDPG-UD) can achieve approximately 99.5% of the sum-rate capacity achieved by particle swarm optimization (PSO)-based UAV deployment (PSO-UD), while requiring a significantly reduced runtime at approximately 68.50% of that needed by PSO-UD, offering an efficient solution in dynamic MU-mMIMO environments.","url":"https://doi.org/10.48550/arxiv.2404.06726","authors":["Ghadaksaz, MohammadMahdi","Mahmood, Mobeen","Le-Ngoc, Tho"],"tags":["Signal Processing (eess.SP)","FOS: Electrical engineering, electronic engineering, information engineering"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.48550/arxiv.2404.06726","addedAt":"2026-08-31T06:39:57.918Z","updatedAt":"2026-08-31T06:40:09.764Z"},{"id":"doi:10.25728/cs.2024.1.1","name":"RADIO FREQUENCY IDENTIFICATION IN TRANSPORT APPLICATIONS","source":"datacite","abstract":"RFID (Radio Frequency Identification) has been widely used in many areas of science and technology as well as everyday life. An intensively developing line of RFID applications is the identification of fast-moving transport objects. Despite numerous scientific articles, the latest results on the subject are poorly reflected in the existing surveys. This paper fills the gap by overviewing key publications on RFID technologies and standards and the features of signal propagation in a wireless communication channel between RFID tags and a reader. We describe related theoretical and experimental results as well as the architecture and hardware and software tools for the practical implementation of ground vehicle identification systems. In addition, this survey covers publications on utilizing RFID on the base of unmanned aerial vehicles.","url":"https://doi.org/10.25728/cs.2024.1.1","authors":["Abramian, V.L.","Vishnevsky, V.M.","Larionov, A.A."],"tags":["radio frequency identification","transport","unmanned aerial vehicle","reader","tag"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.25728/cs.2024.1.1","addedAt":"2026-08-31T06:39:57.918Z","updatedAt":"2026-08-31T06:39:57.918Z"},{"id":"doi:10.25602/gold.bjmh.v10i1.1783","name":"Defending the Sky: A Historical Analysis of Israeli Drone Use, 1971-2014","source":"datacite","abstract":"This article analyses the history of Unmanned Aerial Vehicle (UAV) operations by the Israel Defense Forces (IDF), illustrating the pivotal role of drones from their initial deployment in the 1970s to their sophisticated employment in irregular warfare by 2014. Such an examination allows evaluation of the effectiveness of UAV missions in a variety of scenarios and the extent to which they provide a solution to the strategic threats that Israel faces.","url":"https://doi.org/10.25602/gold.bjmh.v10i1.1783","authors":["Tovy, Tal"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.25602/gold.bjmh.v10i1.1783","addedAt":"2026-08-31T06:39:57.918Z","updatedAt":"2026-08-31T06:39:57.918Z"},{"id":"doi:10.48550/arxiv.2403.12739","name":"Path Planning in a dynamic environment using Spherical Particle Swarm Optimization","source":"datacite","abstract":"Efficiently planning an Unmanned Aerial Vehicle (UAV) path is crucial, especially in dynamic settings where potential threats are prevalent. A Dynamic Path Planner (DPP) for UAV using the Spherical Vector-based Particle Swarm Optimisation (SPSO) technique is proposed in this study. The UAV is supposed to go from a starting point to an end point through an optimal path according to some flight criteria. Path length, Safety, Attitude and Path Smoothness are all taken into account upon deciding how an optimal path should be. The path is constructed as a set of way-points that stands as re-planning checkpoints. At each path way-point, threats are allowed some constrained random motion, where their exact positions are updated and fed to the SPSO-solver. Four test scenarios are carried out using real digital elevation models. Each test gives different priorities to path length and safety, in order to show how well the SPSO-DPP is capable of generating a safe yet efficient path segments. Finally, a comparison is made to reveal the persistent overall superior performance of the SPSO, in a dynamic environment, over both the Particle Swarm Optimisation (PSO) and the Genetic Algorithm (GA). The methods are compared directly, by averaging costs over multiple runs, and by considering different challenging levels of obstacle motion. SPSO outperformed both PSO and GA, showcasing cost reductions ranging from 330\\% to 675\\% compared to both algorithms.","url":"https://doi.org/10.48550/arxiv.2403.12739","authors":["Elshaar, Mohssen E.","Elbalshy, Mohammed R.","Hussien, A.","Abido, Mohammed"],"tags":["Neural and Evolutionary Computing (cs.NE)","FOS: Computer and information sciences"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.48550/arxiv.2403.12739","addedAt":"2026-08-31T06:39:57.918Z","updatedAt":"2026-08-31T06:40:09.764Z"},{"id":"doi:10.48550/arxiv.2403.11875","name":"Towards Real-Time Fast Unmanned Aerial Vehicle Detection Using Dynamic Vision Sensors","source":"datacite","abstract":"Unmanned Aerial Vehicles (UAVs) are gaining popularity in civil and military applications. However, uncontrolled access to restricted areas threatens privacy and security. Thus, prevention and detection of UAVs are pivotal to guarantee confidentiality and safety. Although active scanning, mainly based on radars, is one of the most accurate technologies, it can be expensive and less versatile than passive inspections, e.g., object recognition. Dynamic vision sensors (DVS) are bio-inspired event-based vision models that leverage timestamped pixel-level brightness changes in fast-moving scenes that adapt well to low-latency object detection. This paper presents F-UAV-D (Fast Unmanned Aerial Vehicle Detector), an embedded system that enables fast-moving drone detection. In particular, we propose a setup to exploit DVS as an alternative to RGB cameras in a real-time and low-power configuration. Our approach leverages the high-dynamic range (HDR) and background suppression of DVS and, when trained with various fast-moving drones, outperforms RGB input in suboptimal ambient conditions such as low illumination and fast-moving scenes. Our results show that F-UAV-D can (i) detect drones by using less than &lt;15 W on average and (ii) perform real-time inference (i.e., &lt;50 ms) by leveraging the CPU and GPU nodes of our edge computer.","url":"https://doi.org/10.48550/arxiv.2403.11875","authors":["Mandula, Jakub","Kühne, Jonas","Pascarella, Luca","Magno, Michele"],"tags":["Computer Vision and Pattern Recognition (cs.CV)","Image and Video Processing (eess.IV)","FOS: Computer and information sciences","FOS: Computer and information sciences","FOS: Electrical engineering, electronic engineering, information engineering","FOS: Electrical engineering, electronic engineering, information engineering"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.48550/arxiv.2403.11875","addedAt":"2026-08-31T06:39:57.918Z","updatedAt":"2026-08-31T06:39:57.918Z"},{"id":"doi:10.48550/arxiv.2310.07621","name":"AG-CVG: Coverage Planning with a Mobile Recharging UGV and an Energy-Constrained UAV","source":"datacite","abstract":"In this paper, we present an approach for coverage path planning for a team of an energy-constrained Unmanned Aerial Vehicle (UAV) and an Unmanned Ground Vehicle (UGV). Both the UAV and the UGV have predefined areas that they have to cover. The goal is to perform complete coverage by both robots while minimizing the coverage time. The UGV can also serve as a mobile recharging station. The UAV and UGV need to occasionally rendezvous for recharging. We propose a heuristic method to address this NP-Hard planning problem. Our approach involves initially determining coverage paths without factoring in energy constraints. Subsequently, we cluster segments of these paths and employ graph matching to assign UAV clusters to UGV clusters for efficient recharging management. We perform numerical analysis on real-world coverage applications and show that compared with a greedy approach our method reduces rendezvous overhead on average by 11.33%. We demonstrate proof-of-concept with a team of a VOXL m500 drone and a Clearpath Jackal ground vehicle, providing a complete system from the offline algorithm to the field execution.","url":"https://doi.org/10.48550/arxiv.2310.07621","authors":["Karapetyan, Nare","Asghar, Ahmad Bilal","Bhaskar, Amisha","Shi, Guangyao","Manocha, Dinesh","Tokekar, Pratap"],"tags":["Robotics (cs.RO)","FOS: Computer and information sciences","FOS: Computer and information sciences"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2023","doi":"10.48550/arxiv.2310.07621","addedAt":"2026-08-31T06:39:57.918Z","updatedAt":"2026-08-31T06:39:57.918Z"},{"id":"doi:10.25728/pu.2024.1.1","name":"Применение радиочастотной идентификации на транспорте","source":"datacite","abstract":"Технология RFID (Radio Frequency Identification) нашла широкое применение во многих областях науки и техники и повседневной жизни людей. Одним из интенсивно развивающихся направлений применения RFID является идентификация быстродвижущихся транспортных объектов. Несмотря на большое количество научных статей, посвященных данной тематике, последние результаты в этой области нашли слабое отражение в существующих обзорах. Настоящая статья призвана восполнить этот пробел. Приведен обзор публикаций в области технологий и стандартов RFID, а также особенностей распространения сигналов в беспроводном канале связи между RFID-метками и считывателем. Дано описание теоретических и экспериментальных результатов, а также архитектуры и аппаратно-программных средств практической реализации систем идентификации наземных транспортных средств. Приведен также обзор публикаций о применении RFID на беспилотных летательных аппаратах.","url":"https://doi.org/10.25728/pu.2024.1.1","authors":["Абрамян, В.Л.","Вишневский, В.М.","Ларионов, А.А."],"tags":["радиочастотная идентификация","транспорт","беспилотный летательный аппарат","считыватель","метка","radio frequency identification","transport","unmanned aerial vehicle"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.25728/pu.2024.1.1","addedAt":"2026-08-31T06:39:57.918Z","updatedAt":"2026-08-31T06:39:57.918Z"},{"id":"doi:10.5281/zenodo.10727413","name":"Ultra-high-resolution modified RGB UAV-imaging of Alternaria solani","source":"datacite","abstract":"This dataset is collected from both symptomatic and non-symptomatic plants during the growing seasons of 2019 and 2022, on 40x20 m experimental fields in Lemberge (Merelbeke), Belgium (50.986544°N, 3.774066°E) using a DJI M600 PRO unmanned aerial vehicle equiped with a modified Sony Alpha 7III camera with 135 mm lens. The field trial is conducted in analogy to the method described by Van De Vijver et al. (2020, 2022), using two different cultivers, Spunta (2019) and Fontane (2022) respectively. The dataset of 2019 comprises data from three different flights (3, 6 and 9 days after inoculation) and the dataset of 2022 from four different flights (5,7, 9 and 13 days after inoculation). This dataset consists out of 7660 patches of 256x256 pixels, cropped out of the original images, labeled and sorted in two categories (1: Alternaria, 0: no Alternaria), accompagned by a csv file containing the following information: Original patch name Random patch name (used during the labeling process) Row patch number Column patch number Block number, column block number and row block number Original mage name Coordinates of original image: latitude, longitude, altitude Date of flight Label (0: no Alternaria, 1: Alternaria) More detailed information about this dataset (both the collection and the preprocessing) can be found in the corresponding article 'Ultra-high-resolution UAV-Imaging and Supervised Deep Learning for Accurate Detection of Alternaria Solani in Potato Fields.' If you use this dataset, please refer to the related journal paper as follows: \"Wieme J, Leroux S, Cool SR, Van Beek J, Pieters JG and Maes WH (2024) Ultra-highresolution UAV-imaging and supervised deep learning for accurate detection of Alternaria solani in potato fields. Front. Plant Sci. 15:1206998. doi: 10.3389/fpls.2024.1206998\" This dataset was gathered within the Proeftuin Smart Farming 4.0 project (180503) within the Industry 4.0 Living Labs with funding from Flanders innovation & entrepreneurship (VLAIO, Belgium) and in the Horizon 2020 project SmartAgriHubs - Connecting the dots to unleash the innovation potential for digital transformation of the European agrifood sector with funding from the European Union under grant agreement No. 818182. Jana Wieme is funded by grant 1SE3921N of Research Foundation Flanders (FWO).","url":"https://doi.org/10.5281/zenodo.10727413","authors":["Wieme, Jana","Leroux, Sam","Cool, Simon R.","Van Beek, Jonathan","Pieters, Jan G.","Maes, Wouter H."],"tags":["Alternaria solani","Potato fields","UAV","Modified RGB"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.5281/zenodo.10727413","addedAt":"2026-08-31T06:39:57.918Z","updatedAt":"2026-08-31T06:39:57.918Z"},{"id":"doi:10.5281/zenodo.10727412","name":"Ultra-high-resolution modified RGB UAV-imaging of Alternaria solani","source":"datacite","abstract":"This dataset is collected from both symptomatic and non-symptomatic plants during the growing seasons of 2019 and 2022, on 40x20 m experimental fields in Lemberge (Merelbeke), Belgium (50.986544°N, 3.774066°E) using a DJI M600 PRO unmanned aerial vehicle equiped with a modified Sony Alpha 7III camera with 135 mm lens. The field trial is conducted in analogy to the method described by Van De Vijver et al. (2020, 2022), using two different cultivers, Spunta (2019) and Fontane (2022) respectively. The dataset of 2019 comprises data from three different flights (3, 6 and 9 days after inoculation) and the dataset of 2022 from four different flights (5,7, 9 and 13 days after inoculation). This dataset consists out of 7660 patches of 256x256 pixels, cropped out of the original images, labeled and sorted in two categories (1: Alternaria, 0: no Alternaria), accompagned by a csv file containing the following information: Original patch name Random patch name (used during the labeling process) Row patch number Column patch number Block number, column block number and row block number Original mage name Coordinates of original image: latitude, longitude, altitude Date of flight Label (0: no Alternaria, 1: Alternaria) More detailed information about this dataset (both the collection and the preprocessing) can be found in the corresponding article 'Ultra-high-resolution UAV-Imaging and Supervised Deep Learning for Accurate Detection of Alternaria Solani in Potato Fields.' If you use this dataset, please refer to the related journal paper as follows: \"Wieme J, Leroux S, Cool SR, Van Beek J, Pieters JG and Maes WH (2024) Ultra-highresolution UAV-imaging and supervised deep learning for accurate detection of Alternaria solani in potato fields. Front. Plant Sci. 15:1206998. doi: 10.3389/fpls.2024.1206998\" This dataset was gathered within the Proeftuin Smart Farming 4.0 project (180503) within the Industry 4.0 Living Labs with funding from Flanders innovation & entrepreneurship (VLAIO, Belgium) and in the Horizon 2020 project SmartAgriHubs - Connecting the dots to unleash the innovation potential for digital transformation of the European agrifood sector with funding from the European Union under grant agreement No. 818182. Jana Wieme is funded by grant 1SE3921N of Research Foundation Flanders (FWO).","url":"https://doi.org/10.5281/zenodo.10727412","authors":["Wieme, Jana","Leroux, Sam","Cool, Simon R.","Van Beek, Jonathan","Pieters, Jan G.","Maes, Wouter H."],"tags":["Alternaria solani","Potato fields","UAV","Modified RGB"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.5281/zenodo.10727412","addedAt":"2026-08-31T06:39:57.918Z","updatedAt":"2026-08-31T06:39:57.918Z"},{"id":"doi:10.48550/arxiv.2402.03342","name":"MADRL-based UAVs Trajectory Design with Anti-Collision Mechanism in Vehicular Networks","source":"datacite","abstract":"In upcoming 6G networks, unmanned aerial vehicles (UAVs) are expected to play a fundamental role by acting as mobile base stations, particularly for demanding vehicle-to-everything (V2X) applications. In this scenario, one of the most challenging problems is the design of trajectories for multiple UAVs, cooperatively serving the same area. Such joint trajectory design can be performed using multi-agent deep reinforcement learning (MADRL) algorithms, but ensuring collision-free paths among UAVs becomes a critical challenge. Traditional methods involve imposing high penalties during training to discourage unsafe conditions, but these can be proven to be ineffective, whereas binary masks can be used to restrict unsafe actions, but naively applying them to all agents can lead to suboptimal solutions and inefficiencies. To address these issues, we propose a rank-based binary masking approach. Higher-ranked UAVs move optimally, while lower-ranked UAVs use this information to define improved binary masks, reducing the number of unsafe actions. This approach allows to obtain a good trade-off between exploration and exploitation, resulting in enhanced training performance, while maintaining safety constraints.","url":"https://doi.org/10.48550/arxiv.2402.03342","authors":["Spampinato, Leonardo","Testi, Enrico","Buratti, Chiara","Marini, Riccardo"],"tags":["Robotics (cs.RO)","Machine Learning (cs.LG)","Multiagent Systems (cs.MA)","FOS: Computer and information sciences","FOS: Computer and information sciences"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.48550/arxiv.2402.03342","addedAt":"2026-08-31T06:39:57.918Z","updatedAt":"2026-08-31T06:39:57.918Z"},{"id":"doi:10.15150/lt.2024.3302","name":"Vergleich der ökonomischen Auswirkungen der digitalen Grünlandertragsschätzung in kleinstrukturierten Bergbauernbetrieben","source":"datacite","abstract":"Diese Studie vergleicht anhand einer Kosten-Nutzen-Analyse die wirtschaftlichen Auswirkungen des Einsatzes dreier digitaler Technologien in kleinbäuerlichen Betrieben in bergigen Regionen Süddeutschlands zur Grünlandertragschätzung:„Rising Plate Meter (RPM)“, Unmanned Aerial Vehicle mit „Structure from Motion (UAV SfM)“ und „Portable Light Detection and Ranging (UAV LiDAR)“. Die Ergebnisse zeigen, dass die digitale Grünlandertragsschätzung nach derzeitigem Stand der Technik zu vergleichsweisen hohen Kosten führt, die zu einem großen Teil aus Arbeits- und Abschreibungskosten bestehen. Dennoch konnten diese beim Einsatz des RPM in allen untersuchten Betriebstypen kompensiert werden, sofern dadurch eine Verbesserung der Weidenutzung um nur 5 % erzielt wird. Die Kosten für ein UAV-LiDAR konnten dagegen nach dem derzeitigen Stand der Technologie wirtschaftlich nicht kompensiert werden. Sobald jedoch die technischen Entwicklungen und positiven Veränderungen der rechtlichen Rahmenbedingungen umgesetzt sind, sollten die Kosten der untersuchten UAV-basierten Technologien deutlich sinken. Dies könnte zu einer weiteren Verbreitung in weidebasierten Produktionssystemen führen.","url":"https://doi.org/10.15150/lt.2024.3302","authors":["Kiefer, Anna","Stumpe, Christoph","Hütt, Christoph","Bahrs, Enno"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.15150/lt.2024.3302","addedAt":"2026-08-31T06:39:57.918Z","updatedAt":"2026-08-31T06:39:57.918Z"},{"id":"doi:10.23649/jae.2024.41.20","name":"ОЦЕНКА ЭФФЕКТИВНОСТИ ИСПОЛЬЗОВАНИЯ СИСТЕМЫ ОРОШЕНИЯ С ПРИМЕНЕНИЕМ БПЛА","source":"datacite","abstract":"В статье рассматривается система автоматизированного орошения сельскохозяйственных культур с применением беспилотного летательного аппарата. При обработке сельскохозяйственных культур, колесной или гусеничной техникой повреждается 5% урожая. Техника повреждает культуры колесным или гусеничным движителем, что негативно влияет на плодородность почвы и количество урожая не только в текущем году, но и в последующие годы. Большое количество обслуживающего персонала эксплуатируемой техники, ее ремонт, заправка горюче-смазочными материалами являются причиной больших затрат для агробизнеса.В работе приведено описание конструкции оросительного комплекса на основе беспилотного летательного аппарата и представлено экономическое обоснование рациональности его применения в сельском хозяйстве.","url":"https://doi.org/10.23649/jae.2024.41.20","authors":["Nesterenko, Grigorii"],"tags":["irrigation","efficiency","aircraft","costs","agriculture","орошение","эффективность","летательный аппарат"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.23649/jae.2024.41.20","addedAt":"2026-08-31T06:39:57.918Z","updatedAt":"2026-08-31T06:39:57.918Z"},{"id":"doi:10.48550/arxiv.2305.12021","name":"A Secure and Robust Approach for Distance-Based Mutual Positioning of Unmanned Aerial Vehicles","source":"datacite","abstract":"Unmanned aerial vehicle (UAV) is becoming increasingly important in modern civilian and military applications. However, its novel use cases is bottlenecked by conventional satellite and terrestrial localization technologies, and calling for complementary solutions. Multi-UAV mutual positioning can be a potential answer, but its accuracy and security are challenged by inaccurate and/or malicious measurements. This paper proposes a novel, robust, and secure approach to address these issues.","url":"https://doi.org/10.48550/arxiv.2305.12021","authors":["Han, Bin","Schotten, Hans D."],"tags":["Signal Processing (eess.SP)","Multiagent Systems (cs.MA)","FOS: Electrical engineering, electronic engineering, information engineering","FOS: Electrical engineering, electronic engineering, information engineering","FOS: Computer and information sciences","FOS: Computer and information sciences"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2023","doi":"10.48550/arxiv.2305.12021","addedAt":"2026-08-31T06:39:57.918Z","updatedAt":"2026-08-31T06:39:57.918Z"},{"id":"doi:10.5281/zenodo.10294996","name":"CAS Landslide Dataset: A Large-Scale and Multisensor Dataset for Deep Learning-Based Landslide Detection","source":"datacite","abstract":"In this work, we present the CAS Landslide Dataset, a large-scale and multisensor dataset for deep learning-based landslide detection, developed by the Artificial Intelligence Group at the Institute of Mountain Hazards and Environment, Chinese Academy of Sciences (CAS). The dataset aims to address the challenges encountered in landslide recognition. With the increase in landslide occurrences due to climate change and earthquakes, there is a growing need for a precise and comprehensive dataset to support fast and efficient landslide recognition. In contrast to existing datasets with dataset size, coverage, sensor type and resolution limitations, the CAS Landslide Dataset comprises 20,865 images, integrating satellite and unmanned aerial vehicle data from nine regions. To ensure reliability and applicability, we establish a robust methodology to evaluate the dataset quality. We propose the use of the Landslide Dataset as a benchmark for the construction of landslide identification models and to facilitate the development of deep learning techniques. Researchers can leverage this dataset to obtain enhanced prediction, monitoring, and analysis capabilities, thereby advancing automated landslide detection. If you use our data, please cite our work published in Scientific Data. Xu, Y., Ouyang, C., Xu, Q. et al. CAS Landslide Dataset: A Large-Scale and Multisensor Dataset for Deep Learning-Based Landslide Detection. Sci Data 11, 12 (2024). https://doi.org/10.1038/s41597-023-02847-z","url":"https://doi.org/10.5281/zenodo.10294996","authors":["Xu, Yulin","Ouyang, Chaojun","Xu, Qingsong","Wang, Dongpo","Zhao, Bo","Luo, Yutao"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2023","doi":"10.5281/zenodo.10294996","addedAt":"2026-08-31T06:39:57.918Z","updatedAt":"2026-08-31T06:39:57.918Z"},{"id":"doi:10.5281/zenodo.10294997","name":"CAS Landslide Dataset: A Large-Scale and Multisensor Dataset for Deep Learning-Based Landslide Detection","source":"datacite","abstract":"In this work, we present the CAS Landslide Dataset, a large-scale and multisensor dataset for deep learning-based landslide detection, developed by the Artificial Intelligence Group at the Institute of Mountain Hazards and Environment, Chinese Academy of Sciences (CAS). The dataset aims to address the challenges encountered in landslide recognition. With the increase in landslide occurrences due to climate change and earthquakes, there is a growing need for a precise and comprehensive dataset to support fast and efficient landslide recognition. In contrast to existing datasets with dataset size, coverage, sensor type and resolution limitations, the CAS Landslide Dataset comprises 20,865 images, integrating satellite and unmanned aerial vehicle data from nine regions. To ensure reliability and applicability, we establish a robust methodology to evaluate the dataset quality. We propose the use of the Landslide Dataset as a benchmark for the construction of landslide identification models and to facilitate the development of deep learning techniques. Researchers can leverage this dataset to obtain enhanced prediction, monitoring, and analysis capabilities, thereby advancing automated landslide detection. If you use our data, please cite our work published in Scientific Data. Xu, Y., Ouyang, C., Xu, Q. et al. CAS Landslide Dataset: A Large-Scale and Multisensor Dataset for Deep Learning-Based Landslide Detection. Sci Data 11, 12 (2024). https://doi.org/10.1038/s41597-023-02847-z","url":"https://doi.org/10.5281/zenodo.10294997","authors":["Xu, Yulin","Ouyang, Chaojun","Xu, Qingsong","Wang, Dongpo","Zhao, Bo","Luo, Yutao"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2023","doi":"10.5281/zenodo.10294997","addedAt":"2026-08-31T06:39:57.918Z","updatedAt":"2026-08-31T06:39:57.918Z"},{"id":"doi:10.21203/rs.3.rs-2888431/v1","name":"RETRACTED: Optimization of unmanned aerial vehicle application for measuring in complex urban green space","source":"crossref","abstract":"Abstract The authors have requested that this preprint be removed from Research Square.","url":"https://doi.org/10.21203/rs.3.rs-2888431/v1","authors":["Rongye Jin","Jinyi Huang","Yanjie Xu"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-05-10T14:54:14Z","doi":"10.21203/rs.3.rs-2888431/v1","addedAt":"2026-08-31T06:39:58.777Z","updatedAt":"2026-08-31T06:39:58.777Z"},{"id":"doi:10.37513/ciar.v12i1.509","name":"India’s Drones","source":"crossref","abstract":"The United States’ increasing dependence on Unmanned Aerial Vehicles (UAVs), more commonly referred to as drones, to carry out targeted killings has captured the attention of several countries across the globe seeking to amplify their military capabilities. While most of the current literature focuses on the strategic value of UAVs as a tool for combating terrorism, scholars have largely overlooked the use of drones as a key to maintaining security between states. This project, in contrast, investigates the implications of drones for security dilemmas between countries. It examines the case of India due to its long-standing rivalry with Pakistan, its border dispute with China, and the prevalence of terrorism in the region. It anticipates that India’s leaders view the possession of drones by their rivals as a threat to their own national security, and thus aim to acquire similar technology to maintain the power balance. A content analysis of newspaper articles related to India’s drone acquisition indicates that drones are perceived by India’s leaders to be almost equally useful in fighting terrorism and balancing a state rival, which demonstrates that, contrary to popular belief, drones do carry significance in interstate conflict.","url":"https://doi.org/10.37513/ciar.v12i1.509","authors":["Breanne Schneider"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2020-06-16T17:23:27Z","doi":"10.37513/ciar.v12i1.509","addedAt":"2026-08-31T06:39:58.777Z","updatedAt":"2026-08-31T06:39:58.777Z"},{"id":"doi:10.7287/peerj.6312v0.1/reviews/2","name":"Peer Review #2 of \"The running kinematics of free-roaming giraffes, measured using a low cost unmanned aerial vehicle (UAV) (v0.1)\"","source":"crossref","abstract":"","url":"https://doi.org/10.7287/peerj.6312v0.1/reviews/2","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2019-02-17T01:30:21Z","doi":"10.7287/peerj.6312v0.1/reviews/2","addedAt":"2026-08-31T06:39:58.777Z","updatedAt":"2026-08-31T06:39:58.777Z"},{"id":"doi:10.1002/gj.4677/v2/review1","name":"Review for \"Slope deformation detection using subpixel offset tracking and an unsupervised learning technique based on unmanned aerial vehicle photogrammetry data\"","source":"crossref","abstract":"","url":"https://doi.org/10.1002/gj.4677/v2/review1","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-01-30T16:02:35Z","doi":"10.1002/gj.4677/v2/review1","addedAt":"2026-08-31T06:39:58.777Z","updatedAt":"2026-08-31T06:39:58.777Z"},{"id":"doi:10.7287/peerj.14017v0.2/reviews/2","name":"Peer Review #2 of \"Species level mapping of a seagrass bed using an unmanned aerial vehicle and deep learning technique (v0.2)\"","source":"crossref","abstract":"","url":"https://doi.org/10.7287/peerj.14017v0.2/reviews/2","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2022-10-22T02:30:26Z","doi":"10.7287/peerj.14017v0.2/reviews/2","addedAt":"2026-08-31T06:39:58.777Z","updatedAt":"2026-08-31T06:39:58.777Z"},{"id":"doi:10.1002/gj.4677/v1/review2","name":"Review for \"Slope deformation detection using subpixel offset tracking and an unsupervised learning technique based on unmanned aerial vehicle photogrammetry data\"","source":"crossref","abstract":"","url":"https://doi.org/10.1002/gj.4677/v1/review2","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-01-30T16:02:35Z","doi":"10.1002/gj.4677/v1/review2","addedAt":"2026-08-31T06:39:58.777Z","updatedAt":"2026-08-31T06:39:58.777Z"},{"id":"doi:10.1111/2041-210x.14058/v3/review3","name":"Review for \"Druid Drone—A portable unmanned aerial vehicle with a multifunctional manipulator for forest canopy and mistletoe research and management\"","source":"crossref","abstract":"","url":"https://doi.org/10.1111/2041-210x.14058/v3/review3","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-01-27T16:04:15Z","doi":"10.1111/2041-210x.14058/v3/review3","addedAt":"2026-08-31T06:39:58.777Z","updatedAt":"2026-08-31T06:39:58.777Z"},{"id":"doi:10.7287/peerj.6312v0.1/reviews/1","name":"Peer Review #1 of \"The running kinematics of free-roaming giraffes, measured using a low cost unmanned aerial vehicle (UAV) (v0.1)\"","source":"crossref","abstract":"","url":"https://doi.org/10.7287/peerj.6312v0.1/reviews/1","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2019-02-17T01:30:27Z","doi":"10.7287/peerj.6312v0.1/reviews/1","addedAt":"2026-08-31T06:39:58.777Z","updatedAt":"2026-08-31T06:39:58.777Z"},{"id":"doi:10.7287/peerj.14017v0.1/reviews/2","name":"Peer Review #2 of \"Species level mapping of a seagrass bed using an unmanned aerial vehicle and deep learning technique (v0.1)\"","source":"crossref","abstract":"","url":"https://doi.org/10.7287/peerj.14017v0.1/reviews/2","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2022-10-22T02:30:16Z","doi":"10.7287/peerj.14017v0.1/reviews/2","addedAt":"2026-08-31T06:39:58.777Z","updatedAt":"2026-08-31T06:39:58.777Z"},{"id":"doi:10.1111/2041-210x.14058/v3/review1","name":"Review for \"Druid Drone—A portable unmanned aerial vehicle with a multifunctional manipulator for forest canopy and mistletoe research and management\"","source":"crossref","abstract":"","url":"https://doi.org/10.1111/2041-210x.14058/v3/review1","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-01-27T16:04:15Z","doi":"10.1111/2041-210x.14058/v3/review1","addedAt":"2026-08-31T06:39:58.777Z","updatedAt":"2026-08-31T06:39:58.777Z"},{"id":"doi:10.1111/2041-210x.14058/v3/review2","name":"Review for \"Druid Drone—A portable unmanned aerial vehicle with a multifunctional manipulator for forest canopy and mistletoe research and management\"","source":"crossref","abstract":"","url":"https://doi.org/10.1111/2041-210x.14058/v3/review2","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-01-27T16:04:15Z","doi":"10.1111/2041-210x.14058/v3/review2","addedAt":"2026-08-31T06:39:58.777Z","updatedAt":"2026-08-31T06:39:58.777Z"},{"id":"doi:10.1142/9789812837004_0002","name":"Health Management for the Individual Vehicle: A Review","source":"crossref","abstract":"","url":"https://doi.org/10.1142/9789812837004_0002","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2010-05-05T04:46:57Z","doi":"10.1142/9789812837004_0002","addedAt":"2026-08-31T06:39:58.777Z","updatedAt":"2026-08-31T06:39:58.777Z"},{"id":"doi:10.1002/gj.4677/v2/review2","name":"Review for \"Slope deformation detection using subpixel offset tracking and an unsupervised learning technique based on unmanned aerial vehicle photogrammetry data\"","source":"crossref","abstract":"","url":"https://doi.org/10.1002/gj.4677/v2/review2","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-01-30T16:02:35Z","doi":"10.1002/gj.4677/v2/review2","addedAt":"2026-08-31T06:39:58.777Z","updatedAt":"2026-08-31T06:39:58.777Z"},{"id":"doi:10.5194/gi-2020-29-rc1","name":"Review of &amp;amp;#8220;Experiments on magnetic interference for a portable airborne magnetometry system using a hybrid unmanned aerial vehicle&amp;amp;#8221;","source":"crossref","abstract":"","url":"https://doi.org/10.5194/gi-2020-29-rc1","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2020-10-23T09:22:48Z","doi":"10.5194/gi-2020-29-rc1","addedAt":"2026-08-31T06:39:58.777Z","updatedAt":"2026-08-31T06:39:58.777Z"},{"id":"doi:10.7287/peerj.14219v0.1/reviews/2","name":"Peer Review #2 of \"Automated mapping of Portulacaria afra canopies for restoration monitoring with convolutional neural networks and heterogeneous unmanned aerial vehicle imagery (v0.1)\"","source":"crossref","abstract":"","url":"https://doi.org/10.7287/peerj.14219v0.1/reviews/2","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2022-10-19T02:32:09Z","doi":"10.7287/peerj.14219v0.1/reviews/2","addedAt":"2026-08-31T06:39:58.777Z","updatedAt":"2026-08-31T06:39:58.777Z"},{"id":"doi:10.7287/peerj.14219v0.2/reviews/1","name":"Peer Review #1 of \"Automated mapping of Portulacaria afra canopies for restoration monitoring with convolutional neural networks and heterogeneous unmanned aerial vehicle imagery (v0.2)\"","source":"crossref","abstract":"","url":"https://doi.org/10.7287/peerj.14219v0.2/reviews/1","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2022-10-19T02:32:13Z","doi":"10.7287/peerj.14219v0.2/reviews/1","addedAt":"2026-08-31T06:39:58.777Z","updatedAt":"2026-08-31T06:39:58.777Z"},{"id":"doi:10.3390/drones6040086","name":"Ice Accretion on Fixed-Wing Unmanned Aerial Vehicle—A Review Study","source":"crossref","abstract":"Ice accretion on commercial aircraft operating at high Reynolds numbers has been extensively studied in the literature, but a direct transformation of these results to an Unmanned Aerial Vehicle (UAV) operating at low Reynolds numbers is not straightforward. Changes in Reynolds number have a significant impact on the ice accretion physics. Previously, only a few researchers worked in this area, but it is now gaining more attention due to the increasing applications of UAVs in the modern world. As a result, an attempt is made to review existing scientific knowledge and identify the knowledge gaps in this field of research. Ice accretion can deteriorate the aerodynamic performance, structural integrity, and aircraft stability, necessitating optimal ice mitigation techniques. This paper provides a comprehensive review of ice accretion on fixed-wing UAVs. It includes various methodologies for studying and comprehending the physics of ice accretion on UAVs. The impact of various environmental and geometric factors on ice accretion physics is reviewed, and knowledge gaps are identified. The pros and cons of various ice detection and mitigation techniques developed for UAVs are also discussed.","url":"https://doi.org/10.3390/drones6040086","authors":["Manaf Muhammed","Muhammad Shakeel Virk"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2022-03-29T21:40:14Z","doi":"10.3390/drones6040086","addedAt":"2026-08-31T06:39:58.777Z","updatedAt":"2026-08-31T06:39:58.777Z"},{"id":"doi:10.7287/peerj.14219v0.1/reviews/1","name":"Peer Review #1 of \"Automated mapping of Portulacaria afra canopies for restoration monitoring with convolutional neural networks and heterogeneous unmanned aerial vehicle imagery (v0.1)\"","source":"crossref","abstract":"","url":"https://doi.org/10.7287/peerj.14219v0.1/reviews/1","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2022-10-19T02:32:10Z","doi":"10.7287/peerj.14219v0.1/reviews/1","addedAt":"2026-08-31T06:39:58.777Z","updatedAt":"2026-08-31T06:39:58.777Z"},{"id":"doi:10.21203/rs.3.rs-2888431/v2","name":"RETRACTED: Optimization of unmanned aerial vehicle application for measuring in complex urban green space","source":"crossref","abstract":"Abstract The authors have requested that this preprint be removed from Research Square.","url":"https://doi.org/10.21203/rs.3.rs-2888431/v2","authors":["Rongye Jin","Jinyi Huang","Xiangdong Xiao","Yanjie Xu"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-10-23T11:52:10Z","doi":"10.21203/rs.3.rs-2888431/v2","addedAt":"2026-08-31T06:39:58.777Z","updatedAt":"2026-08-31T06:39:58.777Z"},{"id":"doi:10.2139/ssrn.4603404","name":"Unmanned Aerial Vehicle-Based Forest Fire Detection Systems: A Comprehensive Review","source":"crossref","abstract":"Over the past few years, the use of Unmanned Aerial Vehicles (UAVs) has emerged as a propitious means for instantaneous monitoring and timely identification of forest fires. UAV-based forest fire detection systems utilize a range of artificial intelligence and sensors to identify the presence of fire in the forest. In this review paper, we have analyzed the advancements and developments made in UAV-based forest fire detection systems, focusing on the various sensors, machine learning and deep learning techniques utilized. Additionally, we have highlighted the challenges faced by these systems, such as fusion of UAVs with computer vision technology, real-time detection systems, &lt;br&gt;optimal flight paths, adverse weather conditions, cost-effective and sensor integration strategies. Comprehensive datasets are also needed for algorithm development and testing. Finally, we have concluded with the importance of addressing these challenges and the potential of UAVs in forest fire detection for effective fire management and mitigation initiatives.","url":"https://doi.org/10.2139/ssrn.4603404","authors":["Jyoti Patel","Mallikarjun Bhusnoor","Dhrumil Patel","Akshara Mehta","Sandeep Sainkar","Ninad Mehendale"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-11-14T13:44:49Z","doi":"10.2139/ssrn.4603404","addedAt":"2026-08-31T06:39:58.777Z","updatedAt":"2026-08-31T06:39:58.777Z"},{"id":"doi:10.7287/peerj.14017v0.1/reviews/1","name":"Peer Review #1 of \"Species level mapping of a seagrass bed using an unmanned aerial vehicle and deep learning technique (v0.1)\"","source":"crossref","abstract":"","url":"https://doi.org/10.7287/peerj.14017v0.1/reviews/1","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2022-10-22T02:30:20Z","doi":"10.7287/peerj.14017v0.1/reviews/1","addedAt":"2026-08-31T06:39:58.777Z","updatedAt":"2026-08-31T06:39:58.777Z"},{"id":"doi:10.7287/peerj.14017v0.2/reviews/1","name":"Peer Review #1 of \"Species level mapping of a seagrass bed using an unmanned aerial vehicle and deep learning technique (v0.2)\"","source":"crossref","abstract":"","url":"https://doi.org/10.7287/peerj.14017v0.2/reviews/1","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2022-10-22T02:30:22Z","doi":"10.7287/peerj.14017v0.2/reviews/1","addedAt":"2026-08-31T06:39:58.777Z","updatedAt":"2026-08-31T06:39:58.777Z"},{"id":"doi:10.1177/10806032261465600","name":"Artificial Intelligence in Wilderness Search and Rescue: A Narrative Review.","source":"europepmc","abstract":"Artificial intelligence (AI) is transforming wilderness Search and Rescue (SAR), where time constraints, austere conditions, and limited personnel have historically defined outcomes. This narrative review synthesizes the current evidence for AI applications in SAR, drawing on parallel developments in prehospital Emergency Medical Services (EMS) to illuminate the field's trajectory. This article is the result of searching PubMed, IEEE Xplore, Scopus, and Google Scholar from 2018 through March 2026 using combinations of \"artificial intelligence,\" \"machine learning,\" \"search and rescue,\" \"unmanned aerial vehicle,\" \"wilderness medicine,\" and \"prehospital care.\" Operational reports and trade publications were included when peer-reviewed sources were unavailable for deployed SAR technologies. Findings were organized under 3 temporal frameworks: operationally deployed, demonstrated capability approaching scale, and credible near-to-medium-term projection. AI-enabled unmanned aerial vehicles with thermal imaging and computer vision are operationally deployed in wilderness SAR, with field-validated rescues demonstrating detection through canopy, darkness, and adverse weather. Deep reinforcement learning algorithms for autonomous search-path optimization achieve more than 160% improvement over conventional coverage methods. However, the prehospital EMS literature provides an essential cautionary lesson: The Blomberg randomized, controlled trial showed that even technically superior AI may fail to improve outcomes without careful attention to human-AI interaction design and workflow integration. AI appears to be contributing to successful SAR outcomes and has been associated with several documented live rescues. Near-term priorities include prospective outcome validation, swarm-drone coordination, large language model-assisted wilderness medical protocols, and sustainable funding models for volunteer SAR organizations.","url":"https://doi.org/10.1177/10806032261465600","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.1177/10806032261465600","addedAt":"2026-08-31T06:39:58.777Z","updatedAt":"2026-08-31T06:40:02.906Z"},{"id":"doi:10.3390/s26092862","name":"An Ultralight Launch-and-Recovery System for Tethered Micro Unmanned Aerial Vehicles on Small Unmanned Ground Vehicles.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s26092862","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.3390/s26092862","addedAt":"2026-08-31T06:39:58.777Z","updatedAt":"2026-08-31T06:40:02.906Z"},{"id":"doi:10.3390/s26123959","name":"UAV and Deep Learning for Building Façade Defect Detection: A Comprehensive Review.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s26123959","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.3390/s26123959","addedAt":"2026-08-31T06:39:58.777Z","updatedAt":"2026-08-31T06:40:02.906Z"},{"id":"doi:10.1371/journal.pone.0350840","name":"GS-YOLO: A lightweight high-accuracy model for small target detection in drone aerial images.","source":"europepmc","abstract":"","url":"https://doi.org/10.1371/journal.pone.0350840","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.1371/journal.pone.0350840","addedAt":"2026-08-31T06:39:58.777Z","updatedAt":"2026-08-31T06:40:05.993Z"},{"id":"doi:10.3390/s26030927","name":"UAV-Based Coverage Path Planning for Unmanned Agricultural Vehicles.","source":"pubmed","abstract":"Accurate path planning was the prerequisite for autonomous navigation of agricultural vehicles. An Unmanned Aerial Vehicle (UAV)-based coverage path planning was developed in this research for automating guidance of agricultural vehicles and reducing the operator maneuver in the creation of navigation maps. High-resolution orthophoto maps of the field were constructed by using low-altitude UAV photogrammetry to obtain spatial information. Travel paths and working paths were automatically generated from anchor points selected by the operator under the image coordinate domain. The navigation path for unmanned agricultural vehicles was generated by Mercator projection-based conversion for the anchor pixel coordinates into latitude and longitude geographic coordinates. A Graphical User Interface (GUI) was developed for path generation, visualization, and performance evaluation, through which the proposed path planning method was implemented for autonomous agricultural vehicle navigation. Calculation accuracy tests demonstrated the mean planar coordinate error was 2.23 cm and the maximum error was 3.37 cm for path planning. Field tests showed that lateral navigation errors remained within &#xb1;5.5 cm for the unmanned high-clearance sprayer, which indicated that the developed UAV-based coverage path planning method was feasible and featured high accuracy. It provided an effective solution for achieving fully autonomous agricultural vehicle operations.","url":"https://doi.org/10.3390/s26030927","authors":["Xue G","Zhang E","An G","Du J","Yin X","Zhou P","Zhang X"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.3390/s26030927","addedAt":"2026-08-31T06:39:58.777Z","updatedAt":"2026-08-31T06:40:05.993Z"},{"id":"doi:10.3390/foods15162864","name":"Computer Vision from Tea Cultivation to Quality Evaluation.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/foods15162864","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.3390/foods15162864","addedAt":"2026-08-31T06:39:58.777Z","updatedAt":"2026-08-31T06:40:02.906Z"},{"id":"doi:10.1002/ps.70688","name":"UAV-based spraying in orchard systems: mechanisms, performance indicators, and integrated applications.","source":"pubmed","abstract":"The increasing demand for precise, efficient, and environmentally responsible pest management in orchards has accelerated the adoption of unmanned aerial vehicle (UAV)-based spraying systems. Compared with conventional ground-based or manned aerial applications, UAVs offer superior adaptability to complex canopies and fragmented terrain. However, inconsistent canopy deposition, limited penetration into inner canopy layers, and drift-related environmental risks continue to constrain their pest control performance.","url":"https://doi.org/10.1002/ps.70688","authors":["Jiang S","Zhu S","Liu Y","Wang C","Song J","He X"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.1002/ps.70688","addedAt":"2026-08-31T06:39:58.777Z","updatedAt":"2026-08-31T06:40:02.907Z"},{"id":"doi:10.3390/s26123908","name":"ADA-YOLO: An Adaptive Dynamic Aggregation Network for Small Object Detection in UAV Imagery.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s26123908","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.3390/s26123908","addedAt":"2026-08-31T06:39:58.777Z","updatedAt":"2026-08-31T06:40:02.907Z"},{"id":"doi:10.3390/s26103225","name":"HydroAir: An Air-Propelled Surface Vehicle for Autonomous Navigation and 3D Reconstruction in Shallow and Obstacle-Rich Aquatic Environments.","source":"europepmc","abstract":"This paper presents HydroAir, a novel air-propelled Unmanned Surface Vehicle (USV) specifically designed for operation in shallow waters and obstacle-rich aquatic environments such as lakes, reservoirs, and large dams. Unlike conventional aquatic robots, HydroAir employs an aerial propulsion system that enables it to overcome partially submerged obstacles, vegetation, and extremely shallow regions where traditional propeller-based platforms fail. The vehicle features a system with a very reliable internal architecture, providing high maneuverability and robustness in both manual and autonomous navigation modes. The primary objective of HydroAir is to serve as a mobile sensing platform for three-dimensional reconstruction of aquatic environments, particularly the underwater terrain. The onboard sensing suite enables bathymetric data acquisition, while a dedicated monitoring and control software integrates these data with aerial reconstructions obtained from Unmanned Aerial Vehicles (UAVs), allowing for the fusion of above-water and underwater spatial information into a unified 3D model. Experimental validations were conducted in large-scale, real-world environments, including tests in a hydroelectric dam operated by Santo Antônio Energia on the Madeira River in Brazil, demonstrating the platform's operational feasibility, stability, and reconstruction capabilities. The results indicate that HydroAir is a promising solution for environmental monitoring, inspection, and mapping in challenging aquatic environments where conventional autonomous surface vehicles are limited.","url":"https://doi.org/10.3390/s26103225","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.3390/s26103225","addedAt":"2026-08-31T06:39:58.777Z","updatedAt":"2026-08-31T06:40:00.188Z"},{"id":"doi:10.3389/ti.2026.16512","name":"Aerial drones for graft transport - ready for takeoff?","source":"europepmc","abstract":"","url":"https://doi.org/10.3389/ti.2026.16512","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.3389/ti.2026.16512","addedAt":"2026-08-31T06:39:58.777Z","updatedAt":"2026-08-31T06:40:05.993Z"},{"id":"doi:10.3390/s26165057","name":"A Multi-Source Remote-Sensing-Assisted Method for GNSS Station Site Selection in Underground Coal-Mining Subsidence Areas.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s26165057","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.3390/s26165057","addedAt":"2026-08-31T06:39:58.777Z","updatedAt":"2026-08-31T06:40:05.993Z"},{"id":"doi:10.3390/biomimetics11010021","name":"Numerical Investigation of the Water-Exit Performance of a Bionic Unmanned Aerial-Underwater Vehicle with Front-Mounted Propeller.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/biomimetics11010021","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.3390/biomimetics11010021","addedAt":"2026-08-31T06:39:58.777Z","updatedAt":"2026-08-31T06:40:05.993Z"},{"id":"doi:10.3390/s26061895","name":"AI-Driven Adaptive Camouflage Pattern Generation for Helicopter Detection Evasion in Aerial Sensor Imagery Using Fine-Tuned YOLOv8 and Stable Diffusion.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s26061895","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.3390/s26061895","addedAt":"2026-08-31T06:39:58.777Z","updatedAt":"2026-08-31T06:40:00.188Z"},{"id":"doi:10.1371/journal.pone.0350990","name":"Coordinate aware implicit neural representation for UAV small object detection.","source":"europepmc","abstract":"","url":"https://doi.org/10.1371/journal.pone.0350990","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.1371/journal.pone.0350990","addedAt":"2026-08-31T06:39:58.777Z","updatedAt":"2026-08-31T06:40:05.993Z"},{"id":"doi:10.3390/s25165140","name":"Small UAV Target Detection Algorithm Using the YOLOv8n-RFL Based on Radar Detection Technology.","source":"pubmed","abstract":"To improve the unmanned aerial vehicle (UAV) detection and recognition rate based on radar detection technology, this paper proposes to take the radar range-Doppler planar graph that characterizes the echo information of the UAV as the input of the improved YOLOv8 network, uses the YOLOv8n-RFL network to detect and identify the UAV target. In the detection method of the UAV target, first, we detect the echo signal of the UAV through radar, and take the received echo model as the foundation, utilize the principle of generating range-Doppler planar data to convert the received UAV echo signals into range-Doppler planar graphs, and then, use the improved YOLOv8 network to train and detect the UAV target. In the detection algorithm, the range-Doppler planar graph is taken as the input of the YOLOv8n backbone network, the UAV target is extracted from the complex background through the C2f-RVB and C2f-RVBE modules to obtain more feature maps containing multi-scale UAV feature information; the shallow features from the backbone network and deep features from the neck network are integrated through the feature semantic fusion module (FSFM) to generate high-quality fused UAV feature maps with rich details and deep semantic information, and then, the lightweight sharing detection head (LWSD) is utilized to conduct unmanned aerial vehicle (UAV) feature recognition based on the generated fused feature map. By detecting the collected echo data of the unmanned aerial vehicle (UAV), it was found that the proposed improved algorithm can effectively detect the UAV.","url":"https://doi.org/10.3390/s25165140","authors":["Shi Z","Lei Z"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.3390/s25165140","addedAt":"2026-08-31T06:39:58.777Z","updatedAt":"2026-08-31T06:40:05.993Z"},{"id":"doi:10.3390/s26092793","name":"SWUAV-DANet: A Severe-Weather UAV Dataset and Dynamic AlignAir Network for Robust Aerial Vehicle Detection.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s26092793","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.3390/s26092793","addedAt":"2026-08-31T06:39:58.777Z","updatedAt":"2026-08-31T06:40:00.188Z"},{"id":"doi:10.20944/preprints202602.1230.v1","name":"Precision Agriculture for Nutraceutical Crops: A Comprehensive Scientific Review","source":"europepmc","abstract":"Precision Agriculture (PA) is reshaping nutraceutical crop production by enabling high-resolution monitoring and adaptive management strategies that simultaneously optimize yield, stabilize phytochemical composition, and enhance environmental sustainability. Nutraceutical crops derive their economic and functional value from bioactive compounds whose concentration, uniformity, and temporal stability are highly sensitive to spatial and environmental variability. To address these constraints, PA integrates advanced sensing technologies, unmanned aerial vehicle (UAV)–based multispectral, hyperspectral, thermal, and LiDAR observations, Internet of Things (IoT)–enabled soil–plant–atmosphere monitoring, and artificial intelligence (AI) and machine-learning (ML) analytics within data-driven decision-support frameworks. This review synthesizes recent scientific evidence demonstrating how PA improves agronomic performance, stabilizes phytochemical profiles, and increases resource-use efficiency in nutraceutical systems through precision irrigation, site-specific nutrient management, three-dimensional canopy characterization, and real-time stress detection. Particular emphasis is placed on Moringa oleifera Lam. as a model nutraceutical crop for climate-sensitive Mediterranean agroecosystems. Recent field applications show that the integration of UAV-based spectral and thermal imaging, LiDAR-derived canopy metrics, and IoT-guided management enhances canopy assessment, optimizes harvest timing, improves phytochemical consistency, and strengthens traceability and quality control along the value chain. Emerging developments—including AI-enabled predictive decision-support systems, digital twins, and blockchain-based traceability—are discussed as key enablers for scalable, quality-oriented nutraceutical production. Collectively, the evidence positions PA as a foundational approach for resilient, climate-smart, and standardized nutraceutical agriculture, fully aligned with smart farming paradigms based on sensors, robotics, and artificial intelligence.","url":"https://doi.org/10.20944/preprints202602.1230.v1","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.20944/preprints202602.1230.v1","addedAt":"2026-08-31T06:39:58.777Z","updatedAt":"2026-08-31T06:40:02.908Z"},{"id":"doi:10.3390/s26123806","name":"SIM-PCSR: Key-Layer Complementary Enhancement for UAV RGB-IR Small-Object Detection.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s26123806","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.3390/s26123806","addedAt":"2026-08-31T06:39:58.777Z","updatedAt":"2026-08-31T06:40:00.188Z"},{"id":"doi:10.1038/s41598-026-52048-y","name":"Enhanced geometry control powered by AI for UAVS with a robotic arm for compensating for disturbances.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41598-026-52048-y","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.1038/s41598-026-52048-y","addedAt":"2026-08-31T06:39:58.777Z","updatedAt":"2026-08-31T06:40:00.188Z"},{"id":"doi:10.3390/jimaging12050209","name":"LDSNet: A Lightweight Detail-Sensitive Network for Small Object Detection in Low-Altitude UAV Scenarios.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/jimaging12050209","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.3390/jimaging12050209","addedAt":"2026-08-31T06:39:58.777Z","updatedAt":"2026-08-31T06:40:00.188Z"},{"id":"doi:10.3390/s26092802","name":"From Geometric Exploration to Semantic Completion: Scene Exploration Convolution and Large Format Perception for Adverse-Weather UAV Aerial Object Detection.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s26092802","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.3390/s26092802","addedAt":"2026-08-31T06:39:58.777Z","updatedAt":"2026-08-31T06:40:00.188Z"},{"id":"doi:10.3389/fpls.2025.1704271","name":"Editorial: Advanced methods, equipment and platforms in precision field crops protection, volume II.","source":"europepmc","abstract":"Introduction The proliferation of pests, diseases, and weeds constitutes a primary constraint on agricultural productivity. Recently, leveraging modern information technologies to realize precision crop protection has become a pivotal research area within the domain of smart agriculture. This special research topic converges on novel sensor technologies for the early detection and identification of biotic stresses, artificial intelligence-based methods for intelligent diagnostics and phenotypic analysis, as well as the development of precision equipment and systems for variable-rate crop protection strategies. Concurrently, the topic delves into the innovative integration of digital twin models, the Internet of Things (IoT), and cloud-based platforms in crop protection paradigms, while also offering a prospective on the future trajectories of this research field. Research Topic coverage We have assembled a collection of two review articles and fifteen original research papers centered on the focal points of this special research topic. The published contributions from the authors predominantly encompass the following research domains: the intelligent perception and identification of plant pests and diseases; automation in agricultural operations and precision control systems; the precise quantification of plant phenotypes and disease severity using deep learning; autonomous sensing for intelligent farm machinery coupled with lightweight model optimization; the application of Unmanned Aerial Vehicles (UAVs) for crop disease detection; and the development of a macro-scale agricultural decision support system leveraging multi-modal data fusion. This editorial elucidates the significant progress in intelligent monitoring and precision protection for field crops, underscoring the transformative influence of these modern technologies on global agriculture. Precision sensing and monitoring of crop diseases In crop protection, precision perception and monitoring are fundamental steps, encompassing tasks such as pest and disease identification, disease severity assessment, and crop phenotype extraction. Qiao et al. proposed a method for 3D crop reconstruction and parameter extraction that combines Neural Radiance Fields (NeRF) with a lightweight point cloud segmentation network. This study achieved high-precision segmentation in maize 3D reconstruction, and the proposed method outperformed five existing mainstream networks. Concurrently, the maize stem thickness, plant height, and leaf parameters extracted by this method showed high consistency with manual measurements, demonstrating its reliability and applicability. For wheat stripe rust, Qin et al. introduced a severity assessment method based on lesion expansion. Through experiments with nine method combinations, the optimal combination achieved an accuracy of 96.16% in severity assessment—significantly outperforming traditional visual methods and non-expansion approaches—and resolved the discrepancy between grading standards and actual lesion areas. A review by Zhu et al. revealed that Unmanned Aerial Vehicles (UAVs) equipped with multispectral, RGB, and thermal imaging sensors, when integrated with deep learning algorithms, can achieve rapid pest and disease identification at the field scale with accuracy significantly higher than traditional manual surveys. For instance, deep convolutional networks exceeded 95% accuracy in detecting maize leaf blight, whereas manual visual inspection was only about 80% accurate. Furthermore, Zhu et al. noted that Large Vision and Language Models (LVMs/LLMs) exhibit \"zero-shot\" and \"few-shot\" learning capabilities in agricultural multi-modal data fusion, holding promise for substantially enhancing monitoring performance in agricultural scenarios that lack large-scale annotated data. Their systematic review emphasized the potential of these models in remote sensing image understanding and agricultural decision generation. The perception and monitoring of pests, diseases, and weeds are evolving from 2D imaging towards 3D modeling, lesion quantification, and large model-driven multi-source fusion, thereby greatly enhancing the accuracy and automation of crop health monitoring. Intelligent decision-making and control for crop protection Building upon monitoring data, intelligent decision-making and control technologies facilitate proactive and intelligent crop protection by predicting and identifying potential threats. He et al. proposed the deep learning-based time-series forecasting models, SADF-Net and the RAADA network, which fuse satellite imagery, sensor data, and meteorological data to enable early warnings for crop disease risks. In temporal forecasting, this approach achieved significantly higher accuracy than LSTM and GRU models, with an improvement of approximately 8%–10% in both prediction accuracy and stability. Cheng et al. introduced the IMSFNet+AROS framework, which performs multi-modal anomaly detection using data from UAVs, satellites, and ground-based sensors to aid in the early discovery of in-field anomalies. In the domain of intelligent control for agricultural equipment, Chen et al. developed the YOLOv8-PSS, a lightweight obstacle detection model. Compared to the original YOLOv8, this model reduced the number of parameters by 55.8% and computational overhead by 51.2%, while maintaining a mean Average Precision (mAP) of 90.6%. The localization error was controlled within a range of 2.73%–4.44%, significantly enhancing the safety of unmanned agricultural machinery in complex field environments. Meanwhile, research by Zhang et al. demonstrated that by improving the IPSO-SVM algorithm and fuzzy logic, it is possible to achieve fault prediction and adaptive speed regulation for unmanned combine harvesters, thereby enhancing the equipment's operational stability and level of intelligence. In summary, intelligent decision-making and control are progressively actualizing a closed-loop management paradigm of \"prediction-diagnosis-control,\" providing a reliable foundation for proactive defense and intelligent execution in crop protection. Precision operations and intelligent equipment Operation optimization is the critical link for translating monitoring and decision-making outcomes into practical field applications. Current research primarily focuses on the optimization of Unmanned Aerial Vehicle (UAV) spraying and the mechanisms of droplet deposition. In the field of UAV spraying, the ACHAGA algorithm proposed by Zhang et al. optimizes UAV flight paths in complex tea plantation terrains, reducing flight distance and the number of turns. This approach improved efficiency by approximately 20%–30% compared to manual planning, thereby enhancing crop protection efficacy. A study by Yu et al. demonstrated that different flight altitudes and droplet sizes significantly impact spray deposition distribution on banana canopies, with an altitude of 4 m and a droplet size of 100 μm achieving optimal deposition. This proves the significant influence of operational parameters on deposition uniformity and penetration. Liu et al. optimized UAV spraying parameters for the control of the fall armyworm (Spodoptera frugiperda), showing that a control efficacy of over 90% was achieved using an XR110015VS nozzle, a spray volume of 37.5 L/ha, and a flight height of 2.5 m. This performance was comparable to that of traditional knapsack sprayers but significantly reduced pesticide dosage and labor intensity. Wind tunnel experiments by Gao et al. indicated that the critical wind speed for droplets on curved leaf surfaces under airflow is significantly correlated with droplet diameter and leaf curvature. As leaf curvature increases, droplets are more easily dislodged, with the difference reaching 24.8%. Furthermore, the acceleration difference for large droplets can be as high as 68%, revealing the influence of airflow and leaf structure on droplet deposition. Meanwhile, research by Wang et al. on targeted spraying in wheat fields showed that the detection accuracy of their improved YOLO model reached 95.6% during the tillering stage—an improvement of 7.3% over the original YOLOv5. This also led to a 40% reduction in pesticide usage, indicating that intelligent spraying can effectively lower the environmental burden while ensuring control efficacy. In conclusion, research on equipment optimization not only enhances the adaptability of UAVs in complex field environments but also promotes improvements in pesticide use efficiency, achieving the goal of \"high efficacy with low pesticide volume\" in crop protection. Conclusion In summary, current research has established an integrated technological chain for crop protection, progressing from precision perception and monitoring to intelligent decision-making and control, and culminating in precision operation and equipment optimization. At the perception level, a significant leap has been made from 2D imaging to 3D reconstruction, with large models enhancing the capacity for multi-source data fusion. At the decision-making level, artificial intelligence algorithms have substantially improved the accuracy of prediction and diagnosis, enabling autonomous operation of agricultural machinery in complex environments. Subsequently, at the operational level, advancements in UAV path planning and spray parameter optimization have markedly increased pesticide use efficiency and operational throughput. Nevertheless, several challenges persist, including insufficient real-time processing capabilities, limited model generalizability, and the need for enhanced equipment stability in complex operational settings. Future research should therefore focus on the deeper integration of advanced sensors, intelligent algorithms, and digital twin platforms to construct a more efficient, environmentally friendly, and intelligent system for field crop protection.","url":"https://doi.org/10.3389/fpls.2025.1704271","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.3389/fpls.2025.1704271","addedAt":"2026-08-31T06:39:58.777Z","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"doi:10.1093/nsr/nwag005","name":"High-efficiency flexible organic solar modules based on a flexible electrode of a metal grid modified with low-temperature sputtered ITO.","source":"europepmc","abstract":"","url":"https://doi.org/10.1093/nsr/nwag005","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.1093/nsr/nwag005","addedAt":"2026-08-31T06:39:58.777Z","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"doi:10.3390/s26082423","name":"Covert Communication with Cognitive Jammer Embedded in Public Communication System.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s26082423","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.3390/s26082423","addedAt":"2026-08-31T06:39:58.777Z","updatedAt":"2026-08-31T06:40:00.188Z"},{"id":"doi:10.3390/s25144334","name":"Robust and Precise Navigation and Obstacle Avoidance for Unmanned Ground Vehicle.","source":"pubmed","abstract":"This paper presents a robust control strategy based on simplified second-order sliding mode for autonomous navigation and obstacle avoidance for an unmanned ground vehicle. The proposed control is implemented in a mini ground vehicle equipped with redundant inertial sensors for orientation, a global positioning system, and LiDAR sensors. The algorithm control avoids the derivative of the sliding surface. This provides a feasibility in real-time programming. In order to demonstrate stability in the system, the second method of the Lyapunov theory is used. In addition, the robustness of the proposed algorithm is verified through numerical simulations. Outdoor experimental tests are performed in order to validate the performance of the proposed control.","url":"https://doi.org/10.3390/s25144334","authors":["González-Hernández I","Flores J","Salazar S","Lozano R"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.3390/s25144334","addedAt":"2026-08-31T06:39:58.777Z","updatedAt":"2026-08-31T06:40:05.993Z"},{"id":"doi:10.3390/s26123931","name":"YOLO-UTD: A Domain-Specific Detection Framework for Small Objects in UAV Traffic Surveillance.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s26123931","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.3390/s26123931","addedAt":"2026-08-31T06:39:58.777Z","updatedAt":"2026-08-31T06:40:00.188Z"},{"id":"doi:10.3390/s26123878","name":"Cross-Sensor Consistency-Guided Dual-Spectrum Fusion for Offshore Wind Turbine Blade Defect Diagnosis and Risk Grading.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s26123878","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.3390/s26123878","addedAt":"2026-08-31T06:39:58.777Z","updatedAt":"2026-08-31T06:40:00.188Z"},{"id":"doi:10.3390/s26051540","name":"Efficient UAV High-Resolution Image Stitching via Dense Deep Kernelized Feature.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s26051540","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.3390/s26051540","addedAt":"2026-08-31T06:39:58.777Z","updatedAt":"2026-08-31T06:40:00.188Z"},{"id":"doi:10.3390/s25206403","name":"Autonomous Vision-Based Object Detection and Tracking System for Quadrotor Unmanned Aerial Vehicles.","source":"pubmed","abstract":"This paper introduces an autonomous vision-based tracking system for a quadrotor unmanned aerial vehicle (UAV) equipped with an onboard camera, designed to track a maneuvering target without external localization sensors or GPS. Accurate capture of dynamic aerial targets is essential to ensure real-time tracking and effective management. The system employs a robust and computationally efficient visual tracking method that combines HSV filter detection with a shape detection algorithm. Target states are estimated using an enhanced extended Kalman filter (EKF), providing precise state predictions. Furthermore, a closed-loop Proportional-Integral-Derivative (PID) controller, based on the estimated states, is implemented to enable the UAV to autonomously follow the moving target. Extensive simulation and experimental results validate the system's ability to efficiently and reliably track a dynamic target, demonstrating robustness against noise, light reflections, or illumination interference, and ensure stable and rapid tracking using low-cost components.","url":"https://doi.org/10.3390/s25206403","authors":["Gharsa O","Touba MM","Boumehraz M","Agram N"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.3390/s25206403","addedAt":"2026-08-31T06:39:58.777Z","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"doi:10.3390/jimaging11110375","name":"The Structural Similarity Can Identify the Presence of Noise in Video Data from Unmanned Vehicles.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/jimaging11110375","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.3390/jimaging11110375","addedAt":"2026-08-31T06:39:58.777Z","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"doi:10.1038/s41598-025-31619-5","name":"Adaptive finite-time fault-tolerant control scheme of UAV against combined faults.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41598-025-31619-5","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.1038/s41598-025-31619-5","addedAt":"2026-08-31T06:39:58.777Z","updatedAt":"2026-08-31T06:40:05.993Z"},{"id":"doi:10.1038/s41598-026-43520-w","name":"Application of UAV photogrammetry technology in identifying discontinuities in slopes in the Pulang copper mine.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41598-026-43520-w","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.1038/s41598-026-43520-w","addedAt":"2026-08-31T06:39:58.777Z","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"doi:10.3390/s26113612","name":"Robust Fast 3D Beam Alignment for UAV-Assisted mmWave and Terahertz Communications.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s26113612","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.3390/s26113612","addedAt":"2026-08-31T06:39:58.777Z","updatedAt":"2026-08-31T06:40:08.030Z"},{"id":"doi:10.3390/s26041158","name":"UAV-Deployable Open-Source Sensor Nodes for Spatial and Temporal In Situ Water Quality Monitoring and Mapping.","source":"pubmed","abstract":"Cost efficient, spatially resolved water quality monitoring is essential for managing pollution and protecting aquatic ecosystems. This study presents a low-cost (approximately USD 200), open-source, unmanned aerial vehicle (UAV)-deployable in situ sensor node for real-time assessment of surface-water conditions. The system integrates sensors for pH, turbidity, temperature, and total dissolved solids (TDSs), with onboard data logging and real-time clock (RTC) synchronization. Bench validation of the sensor package yielded mean absolute percentage errors of 1.34% for pH, 5.23% for TDS, and 0.81% for temperature, and the device operated continuously for 42 h. Field deployment demonstrated its ability to resolve spatial gradients, with observed ranges in the tested water body of pH 6.0-6.7, turbidity 11-18 NTU, TDS 44-51 ppm, and temperature 22.8-24.6 &#xb0;C. Ordinary Kriging was used to interpolate measurements and generate continuous spatial maps. The open-source, UAV-deployable design provides an accessible platform for community-scale and research-oriented water quality mapping.","url":"https://doi.org/10.3390/s26041158","authors":["Burnett M","Abdelwahab M","Satme JN","Downey ARJ","Barahona Smith G","Fonce A","Imran J"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.3390/s26041158","addedAt":"2026-08-31T06:39:58.777Z","updatedAt":"2026-08-31T06:40:02.907Z"},{"id":"doi:10.3390/s26102970","name":"LHA-YOLO: A Lightweight and High-Accuracy Detector via Parallel Attention and Divide-and-Conquer Fusion for UAV Images.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s26102970","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.3390/s26102970","addedAt":"2026-08-31T06:39:58.777Z","updatedAt":"2026-08-31T06:40:00.188Z"},{"id":"doi:10.3390/s26113355","name":"Multi-RIS-Assisted UAV-Enabled V2X Communications Under Mobility-Aware CSI Aging.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s26113355","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.3390/s26113355","addedAt":"2026-08-31T06:39:58.777Z","updatedAt":"2026-08-31T06:40:00.188Z"},{"id":"doi:10.3390/s25247480","name":"Global Fast Terminal Sliding Mode Control for Trajectory Tracking Control of Quadrotor UAVs.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s25247480","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.3390/s25247480","addedAt":"2026-08-31T06:39:58.777Z","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"doi:10.3390/s26061997","name":"Multimodal Shared Autonomy for Heavy-Load UAV Operations with Physics-Aware Cooperative Control.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s26061997","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.3390/s26061997","addedAt":"2026-08-31T06:39:58.777Z","updatedAt":"2026-08-31T06:40:00.188Z"},{"id":"doi:10.3390/s26123888","name":"Proactive Early Warning of Vortex Ring State in Coaxial UAVs: A Physics-Informed Multimodal ViT-LSTM Approach.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s26123888","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.3390/s26123888","addedAt":"2026-08-31T06:39:58.777Z","updatedAt":"2026-08-31T06:40:00.188Z"},{"id":"doi:10.1038/s44172-026-00606-7","name":"High-resolution, multidimensional solar radiation evaluation for the scientific protection of built heritage sites.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s44172-026-00606-7","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.1038/s44172-026-00606-7","addedAt":"2026-08-31T06:39:58.777Z","updatedAt":"2026-08-31T06:40:00.188Z"},{"id":"doi:10.3390/s26092903","name":"RFE-YOLO: A Lightweight Receptive Field-Enhanced Network for UAV Imagery Object Detection.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s26092903","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.3390/s26092903","addedAt":"2026-08-31T06:39:58.778Z","updatedAt":"2026-08-31T06:40:00.188Z"},{"id":"doi:10.1038/s41467-026-73097-x","name":"Omics-driven plant breeding through phenomics-enviromics crosstalk.","source":"europepmc","abstract":"Genomics, including all molecular omics, is driven by molecular data, while phenomics and enviromics rely on phenotypic and environmental data. Yet phenotyping is often conducted under poorly characterized environments, limiting the interpretation of phenotypic variation and constraining genetic gain. Integrating high-throughput phenotyping with envirotyping is hence vital to resolve genomic effects. This perspective introduces phenomics-enviromics (PE) crosstalk as a framework for coordinated data collection and integration to advance omics and precision plant breeding. Satellites, unmanned aerial and ground vehicles, and controlled indoor facilities, combined with AI-assisted typing technologies and modeling, are establishing the basis for synchronous, high-throughput PE crosstalk to enhance interpretability, prediction, and crop resilience.","url":"https://doi.org/10.1038/s41467-026-73097-x","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.1038/s41467-026-73097-x","addedAt":"2026-08-31T06:39:58.778Z","updatedAt":"2026-08-31T06:40:00.188Z"},{"id":"doi:10.3390/s26113436","name":"YOLIP: An Enhanced Framework for UAV-Assisted Wildlife Monitoring Based on YOLO Integrated with the CLIP Model.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s26113436","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.3390/s26113436","addedAt":"2026-08-31T06:39:58.778Z","updatedAt":"2026-08-31T06:40:00.188Z"},{"id":"doi:10.3390/s25216719","name":"SFA-DETR: An Efficient UAV Detection Algorithm with Joint Spatial-Frequency-Domain Awareness.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s25216719","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.3390/s25216719","addedAt":"2026-08-31T06:39:58.778Z","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"doi:10.3390/plants15081218","name":"Ground Mobile Robots for High-Throughput Plant Phenotyping: A Review from the Closed-Loop Perspective of Perception, Decision, and Action.","source":"europepmc","abstract":"High-throughput plant phenotyping (HTPP) is increasingly limited by the mismatch between the need for field-relevant, fine-grained phenotypic information and the restricted capability of conventional observation platforms under complex agricultural conditions. Ground mobile robots are emerging as the key carrier for resolving this gap because they combine close-range sensing, autonomous mobility, and physical interaction within real field environments. In this paper, a structured scoping review is presented using a closed-loop perception-decision-action pipeline as the organizing principle. Within this framework, recent advances are synthesized from the perspectives of multimodal fusion, localization-aware sensing, motion planning, deep-learning-based phenotypic analysis, active observation, robotic intervention, and edge deployment. The review further clarifies the complementary roles of Unmanned Aerial Vehicles (UAVs), Unmanned Ground Vehicles (UGVs), and air-ground collaboration in multiscale phenotyping workflows. Beyond summarizing technologies, the article provides three concrete deliverables: a structured taxonomy of mobile phenotyping systems; comparative tables covering sensing modalities, localization/navigation methods, and AI models; and a research agenda linking technical progress to field deployability. The synthesis highlights four persistent bottlenecks, namely environmental generalization, annotation scarcity, limited standardization and reproducibility, and the gap between advanced models and agricultural edge hardware. Overall, ground robots are identified not merely as sensing platforms, but as the central system architecture for advancing mobile phenotyping toward autonomous, fine-grained, and field-deployable operation.","url":"https://doi.org/10.3390/plants15081218","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.3390/plants15081218","addedAt":"2026-08-31T06:39:58.778Z","updatedAt":"2026-08-31T06:40:00.188Z"},{"id":"doi:10.1038/s41598-026-46022-x","name":"Aero-LiteNet: robust aerial small object detection via multi-scale fusion and neighborhood-aware optimization.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41598-026-46022-x","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.1038/s41598-026-46022-x","addedAt":"2026-08-31T06:39:58.778Z","updatedAt":"2026-08-31T06:40:00.188Z"},{"id":"doi:10.20944/preprints202510.0794.v1","name":"High‑Resolution Remote Sensing and Ecosystem Modelling for Climate‑Resilient Forests: A Review of Digital‑Twin Approaches","source":"europepmc","abstract":"","url":"https://doi.org/10.20944/preprints202510.0794.v1","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.20944/preprints202510.0794.v1","addedAt":"2026-08-31T06:39:58.778Z","updatedAt":"2026-08-31T06:40:05.995Z"},{"id":"doi:10.3390/plants15010003","name":"Advancing Precision Agriculture and Forestry: Multi-Source Spectral Sensing, Feature Fusion, and Machine Learning.","source":"europepmc","abstract":"Building on the thematic foundation established in the first volume of this Special Issue-namely, leveraging spectral technologies (from proximal sensing to unmanned aerial vehicle (UAV) and satellite platforms) to advance precision agriculture and forestry-this second edition further consolidates methodological progress and expands the breadth of applications [...].","url":"https://doi.org/10.3390/plants15010003","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.3390/plants15010003","addedAt":"2026-08-31T06:39:58.778Z","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"doi:10.3390/s26072187","name":"HMF-DEIM: High-Fidelity Multi-Domain Fusion Transformer for UAV Small Object Detection.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s26072187","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.3390/s26072187","addedAt":"2026-08-31T06:39:58.778Z","updatedAt":"2026-08-31T06:40:00.188Z"},{"id":"doi:10.3390/s26072184","name":"Air-Ground Collaborative Autonomous Exploration and Mapping Method for Complex Multi-Grain Pile Environments.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s26072184","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.3390/s26072184","addedAt":"2026-08-31T06:39:58.778Z","updatedAt":"2026-08-31T06:40:00.188Z"},{"id":"doi:10.3390/biomimetics11040273","name":"Integrated ADRC and Consensus Control for Anti-Disturbance Formation Tracking Control of Multiple Biomimetic Underwater Spherical Robots.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/biomimetics11040273","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.3390/biomimetics11040273","addedAt":"2026-08-31T06:39:58.778Z","updatedAt":"2026-08-31T06:40:00.188Z"},{"id":"doi:10.3390/jimaging12030106","name":"Vision-Language Models for Transmission Line Fault Detection: A New Approach for Grid Reliability and Optimization.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/jimaging12030106","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.3390/jimaging12030106","addedAt":"2026-08-31T06:39:58.778Z","updatedAt":"2026-08-31T06:40:00.188Z"},{"id":"doi:10.1371/journal.pone.0326951","name":"Air-ground collaborative multi-source orbital integrated detection system: Combining 3D imaging and intrusion recognition.","source":"pubmed","abstract":"With the rapid expansion of railway networks globally, ensuring rail infrastructure safety through efficient detection methods has become critical. Traditional inspection systems face limitations in flexibility, adaptability to adverse weather, and multifunctional integration. This study proposes a ground-air collaborative multi-source detection system that integrates 3D light detection and ranging (LiDAR)-based point cloud imaging and deep learning-driven intrusion detection. The system employs a lightweight rail inspection vehicle equipped with dual LiDARs and an Astro camera, synchronized with an unmanned aerial vehicle (UAV) carrying industrial-grade LiDAR. We propose an improved LiDAR odometry and mapping with sliding window (LOAM-SLAM) algorithm enables real-time dynamic mapping, while an optimized iterative closest point (ICP) algorithm achieves high-precision point cloud registration and colorization. For intrusion detection, a You Only Look Once version 3 (YOLOv3)-ResNet fusion model achieves a recall rate of 0.97 and precision of 0.99. The system's innovative design and technical implementation offer significant improvements in railway track inspection efficiency and safety. This work establishes a new paradigm for adaptive railway maintenance in complex environments.","url":"https://doi.org/10.1371/journal.pone.0326951","authors":["Yan M","Yang X","Gao W","Rong L","Li S","Xiong Y"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.1371/journal.pone.0326951","addedAt":"2026-08-31T06:39:58.778Z","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"doi:10.1038/s44172-025-00569-1","name":"A flexible, magnet-based miniaturized mechanical antenna enabling low-frequency cross-medium communication between unmanned systems.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s44172-025-00569-1","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.1038/s44172-025-00569-1","addedAt":"2026-08-31T06:39:58.778Z","updatedAt":"2026-08-31T06:40:00.188Z"},{"id":"doi:10.1038/s41378-026-01300-6","name":"Compact adaptive spectral imager enabled by MEMS Fabry-Perot filtering chip in longwave infrared.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41378-026-01300-6","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.1038/s41378-026-01300-6","addedAt":"2026-08-31T06:39:58.778Z","updatedAt":"2026-08-31T06:40:00.188Z"},{"id":"doi:10.3390/s26041100","name":"Digitalization and Automation of Runway Inspection Using Unmanned Aerial Vehicles.","source":"pubmed","abstract":"This paper presents an end-to-end framework for automated inspection and condition assessment of airport runway pavement using UAV-acquired imagery. The proposed approach integrates Unmanned Aerial Vehicle (UAV)-based data collection, deep learning-based pixel-level semantic segmentation of surface defects, and Geographic Information System (GIS)-based spatial aggregation to generate a georeferenced digital representation of airfield pavement condition. Multiple safety-critical defect types are detected and localized at pixel resolution, while spatially referenced processing enables a Pavement Condition Index (PCI)-inspired condition assessment based on defect density within predefined sampling units. The framework is validated through a real-world case study at Zadar Airport, where the entire runway was surveyed using high-resolution UAV imagery. The results demonstrate the system's capability to identify and map multiple defect categories across the full runway extent and to produce a coherent, runway-scale condition map supporting maintenance prioritization and decision-making. Overall, the proposed solution provides a scalable, data-driven alternative to traditional manual runway inspection workflows and establishes a practical foundation for digital condition monitoring of airport pavement infrastructure.","url":"https://doi.org/10.3390/s26041100","authors":["Krestenitis M","Petropoulos A","Koulalis I","Stipanovic I","Palic SS","Ioannidis K","Vrochidis S"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.3390/s26041100","addedAt":"2026-08-31T06:39:58.778Z","updatedAt":"2026-08-31T06:40:02.907Z"},{"id":"doi:10.3390/s26092735","name":"A CCO-PPO Framework for Autonomous UAV Trajectory Tracking in Complex and Disturbed Environments.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s26092735","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.3390/s26092735","addedAt":"2026-08-31T06:39:58.778Z","updatedAt":"2026-08-31T06:40:08.030Z"},{"id":"doi:10.3390/s26051610","name":"A Scale-Adaptive Aggregation and Multi-Domain Feature Fusion Architecture for Small-Target Detection in UAV Aerial Imagery.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s26051610","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.3390/s26051610","addedAt":"2026-08-31T06:39:58.778Z","updatedAt":"2026-08-31T06:40:00.188Z"},{"id":"doi:10.3390/ma19050992","name":"Road Marking Distress Detection and Assessment Based on UAV Imagery.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/ma19050992","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.3390/ma19050992","addedAt":"2026-08-31T06:39:58.778Z","updatedAt":"2026-08-31T06:40:00.188Z"},{"id":"doi:10.3390/s26010268","name":"Deep Learning Wavefront Sensing from Object Scene for Directed Energy HEL Systems.","source":"pubmed","abstract":"Atmospheric turbulence significantly degrades the performance of High Energy Laser (HEL) systems by distorting the laser wavefront as it propagates through the atmosphere. Conventional correction techniques rely on Adaptive Optics (AO), which preserve beam quality at the object. However, AO systems require wavefront sensors, such as Shack-Hartmann, and a reference beam, increasing system complexity and cost. This work presents a Deep Learning (DL)-based wavefront sensing approach that operates directly on scene imagery, thereby eliminating the need for dedicated wavefront sensors and a reference beam. A DL model was trained to predict wavefront distortions, represented by Zernike coefficients, from aberrated imagery of the Reaper Unmanned Aerial Vehicle (UAV). Reaper imagery utilized in training was aberrated at different levels of turbulence, D/r0, with D=30 cm being the aperture diameter of a telescope capturing the object scene and r0=3, 5, 7 cm the Fried parameter that defines weak turbulence for higher values and strong turbulence for lower values. The proposed model, trained across all these turbulence levels, outperformed models trained on a single level by providing superior accuracy and offering practical advantages for deployment. The model also demonstrated strong generalization capabilities for two practical scenarios: (a) Reaper imagery with turbulence levels beyond the training range, and (b) Mongoose UAV imagery not included in the training set. The model predicts turbulence accurately in both cases. The results confirm that if the model is trained for a UAV model for a certain turbulence level, it provides accurate predictions for turbulence levels outside its training range and for other UAV aberrated images.","url":"https://doi.org/10.3390/s26010268","authors":["Herrera L","Messina N","Agrawal BN"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.3390/s26010268","addedAt":"2026-08-31T06:39:58.778Z","updatedAt":"2026-08-31T06:40:02.907Z"},{"id":"doi:10.1038/s41598-026-36271-1","name":"Energy absorption and rebound behavior of 3D-printed TPU lattice structures.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41598-026-36271-1","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.1038/s41598-026-36271-1","addedAt":"2026-08-31T06:39:58.778Z","updatedAt":"2026-08-31T06:40:00.189Z"},{"id":"doi:10.3390/s26113554","name":"EAGLE-DET: Edge-Aware Global-Local Enhancement for Small Object Detection in UAV Aerial Imagery.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s26113554","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.3390/s26113554","addedAt":"2026-08-31T06:39:58.778Z","updatedAt":"2026-08-31T06:40:00.189Z"},{"id":"doi:10.3390/s26041364","name":"A Metaheuristic Optimization Algorithm for Task Clustering in Collaborative Multi-Cluster Systems.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s26041364","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.3390/s26041364","addedAt":"2026-08-31T06:39:58.778Z","updatedAt":"2026-08-31T06:40:08.030Z"},{"id":"doi:10.3389/fpls.2025.1774249","name":"Correction: Integrating UAV visible and multispectral imagery to assess grazing-induced vegetation responses in sandy grasslands.","source":"pubmed","abstract":"[This corrects the article DOI: 10.3389/fpls.2025.1730583.].","url":"https://doi.org/10.3389/fpls.2025.1774249","authors":["Guan Q","Jiang M","Du W","Chen X","Yan B"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.3389/fpls.2025.1774249","addedAt":"2026-08-31T06:39:58.778Z","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"doi:10.3390/nano15070489","name":"Experimental Investigation of the Effect of Nanofluid Utilization on Heat Transfer Performance in Unmanned Aircraft Radiators with Various Spring-Type Fins.","source":"pubmed","abstract":"In the study conducted for the cooling systems of MALE class unmanned aerial vehicles using internal combustion engines, new type radiators were designed using spring-structure fins. Among the radiators formed with spring structures acting as fins, the radiator developed using springs with a pitch of 2.25 mm was named Radiator-Y1, the radiator developed using springs with a pitch of 4.25 mm was named Radiator-Y2, and the radiator developed using springs with a pitch of 8.25 mm was named Radiator-Y3. This design change is seen as an innovative method that can increase heat transfer on the radiator surface and increase cooling performance by increasing the turbulence effect of the air affecting the radiator. Experimental studies were carried out using single type (Al 2 O 3 and ZnO) and hybrid (ZnO-CuO) nanofluids in addition to pure water. Experiments were carried out using different air speeds (8-10-12 m/s) and different coolant flow rates (20-22 L/min) and radiator performance was investigated. The effects of the surface area created by the spring structure and the turbulence effect on heat transfer were evaluated. As a result of the studies, Radiator-Y1 showed the best cooling performance among the radiators developed with spring structures, followed by Radiator-Y2 and Radiator-Y3. It was observed that the nanofluids used had a positive effect on the cooling performance compared with pure water, as did the hybrid nanofluid compared when compared with single type nanofluids.","url":"https://doi.org/10.3390/nano15070489","authors":["Erdoğan B","Güneş A","Çakmak G"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.3390/nano15070489","addedAt":"2026-08-31T06:39:58.778Z","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"doi:10.1177/00368504251399763","name":"Quantification method of concrete pavement diseases based on rotating box annotation.","source":"europepmc","abstract":"","url":"https://doi.org/10.1177/00368504251399763","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.1177/00368504251399763","addedAt":"2026-08-31T06:39:58.778Z","updatedAt":"2026-08-31T06:40:00.189Z"},{"id":"doi:10.3390/s26072174","name":"Two-Antenna Gain Measurement Method Using Two UAVs.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s26072174","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.3390/s26072174","addedAt":"2026-08-31T06:39:58.778Z","updatedAt":"2026-08-31T06:40:00.189Z"},{"id":"doi:10.1016/j.plaphe.2026.100237","name":"Variability in crop responses as a function of environment affects the NDVI relationship with grain yield in wheat.","source":"europepmc","abstract":"","url":"https://doi.org/10.1016/j.plaphe.2026.100237","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.1016/j.plaphe.2026.100237","addedAt":"2026-08-31T06:39:58.778Z","updatedAt":"2026-08-31T06:40:00.189Z"},{"id":"doi:10.1038/s41598-026-45853-y","name":"HF-NeRF: UAV remote sensing image reconstruction via height-augmented representation and frequency-adaptive sampling.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41598-026-45853-y","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.1038/s41598-026-45853-y","addedAt":"2026-08-31T06:39:58.778Z","updatedAt":"2026-08-31T06:40:00.189Z"},{"id":"doi:10.3390/s26123907","name":"Multi-UAV Cooperative Hunting in Obstructed Environments via a Multi-Agent Proximal Policy Optimization with Curriculum Learning.","source":"europepmc","abstract":"With the increasing complexity of unmanned aerial vehicle (UAV) missions in complex obstacle environments, cooperative hunting of maneuvering ground targets by UAV swarms has become an important problem for multi-agent autonomous decision-making. This paper focuses on a simulated three-UAV hunting scenario in a two-dimensional obstructed environment, where UAVs must search for, approach, encircle, and continuously track a target while avoiding static obstacles under local observation. To address the problem of multi-UAV cooperative hunting of dynamic targets in complex obstacle environments, this paper proposes a curriculum learning (CL)-based Multi-Agent Proximal Policy Optimization algorithm, termed CL-MAPPO. Specifically, a three-stage progressive training curriculum is designed to overcome the challenges of low exploration efficiency, slow environmental adaptation, and difficult convergence of cooperative hunting policies faced by multi-agent deep reinforcement learning in hunting tasks, thereby gradually enhancing the cooperative hunting capability of UAVs in complex environments. Curriculum I employs fixed obstacles and a stationary target position to train the UAVs' basic obstacle avoidance and target search abilities. Curriculum II introduces randomly generated obstacles and target positions to improve the UAVs' adaptability to varying environments. Curriculum III further incorporates a dynamic target, prompting the UAVs to learn effective hunting strategies against maneuvering targets. The simulation experiment includes ablation experiments against MAPPO without curriculum learning and comparative simulations against MADDPG and MADQN, using reward convergence curves and trajectory visualizations to evaluate the training results. The results show that, under the same training episodes in the ablation experiment, CL-MAPPO reaches a higher and more stable reward level than vanilla MAPPO, indicating improved learning efficiency without increasing model complexity. In the comparative experiment, the CL-MAPPO algorithm achieved a higher success rate in cooperative hunting. These simulation experiments verify the effectiveness and superiority of the CL-MAPPO algorithm in multi-agent cooperative hunting tasks.","url":"https://doi.org/10.3390/s26123907","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.3390/s26123907","addedAt":"2026-08-31T06:39:58.778Z","updatedAt":"2026-08-31T06:40:08.030Z"},{"id":"doi:10.3390/s25227088","name":"RMH-YOLO: A Refined Multi-Scale Architecture for Small-Target Detection in UAV Aerial Imagery.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s25227088","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.3390/s25227088","addedAt":"2026-08-31T06:39:58.778Z","updatedAt":"2026-08-31T06:40:00.189Z"},{"id":"doi:10.1038/s41598-025-19904-9","name":"Image-based obstacle detection methods for the safe navigation of industrial unmanned aerial vehicles.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41598-025-19904-9","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.1038/s41598-025-19904-9","addedAt":"2026-08-31T06:39:58.778Z","updatedAt":"2026-08-31T06:40:00.189Z"},{"id":"doi:10.3390/s26102966","name":"A Spatiotemporally Coupled Carbon Flux Monitoring System for Salt Marsh Wetlands Based on Integrated Land-Air Collaborative Intelligence.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s26102966","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.3390/s26102966","addedAt":"2026-08-31T06:39:58.778Z","updatedAt":"2026-08-31T06:40:00.189Z"},{"id":"doi:10.3390/s26041140","name":"Design and Implementation of a Low-Cost Perception System for Aerial Robots in Confined Spaces.","source":"pubmed","abstract":"Operating an aerial vehicle in a confined space, such as a vessel ballast tank, is a major challenge in terms of localization, perception, and control due to limited visibility, constrained maneuvering space, and the absence of reliable (if any) GNSS signals. This paper addresses the design considerations for a quadcopter in confined spaces, focusing on a novel perception system using 12 VL53L8CX time-of-flight (ToF) sensors from STMicroelectronics. These sensors are used for enhanced perception and collision avoidance while flying in confined spaces, making them a suitable alternative to bulky LiDAR systems, reducing weight, cost, and required computational power. These sensors are placed strategically around the quadcopter to cover 360&#xb0; radial view within a 4 m range. Experiments are conducted to test the reliability and repeatability of the integrated system, along with its synchronization feature. Furthermore, the applicability is verified by flying in confined and cluttered spaces, both in simulation and the real world. This design and study aims to establish a baseline for lightweight, compact, and safe navigation for small drones in confined and featureless environments.","url":"https://doi.org/10.3390/s26041140","authors":["Basnet S","Andersen JC","Boukas E"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.3390/s26041140","addedAt":"2026-08-31T06:39:58.778Z","updatedAt":"2026-08-31T06:40:02.907Z"},{"id":"doi:10.3390/s25185844","name":"Bilateral Teleoperation of Aerial Manipulator with Hybrid Mapping Framework for Physical Interaction.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s25185844","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.3390/s25185844","addedAt":"2026-08-31T06:39:58.778Z","updatedAt":"2026-08-31T06:40:00.189Z"},{"id":"doi:10.1016/j.dib.2026.112737","name":"DamCrack: A drone and smartphone image dataset for 2D and 3D damage assessment in concrete dams.","source":"europepmc","abstract":"","url":"https://doi.org/10.1016/j.dib.2026.112737","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.1016/j.dib.2026.112737","addedAt":"2026-08-31T06:39:58.778Z","updatedAt":"2026-08-31T06:40:00.189Z"},{"id":"doi:10.1016/j.mex.2025.103390","name":"A method to map lake ice temperature in urban environments.","source":"pubmed","abstract":"Lakes supply a wide range of ecosystem services, including recreation activities. They are very important in urban areas, and in the northern latitudes, recreation activities are relevant in winter when the lake is frozen. To ensure the safety of activities, it is important that the temperature of lake ice be monitored. In this work, we developed a methodological framework to assess ice temperature in lakes during the winter using an Unmanned Aerial Vehicle (UAV). The steps followed were: 1) UAV mission planning, 2) field data collection, 3) mission reconstruction, 4) data extraction, and 5) statistical and spatial analysis. The method developed in this work can be useful for local authorities to assess and monitor ice lake temperature during the winter and ensure the safety of these areas for recreation. The method can be applied to lakes located in different environments.&#x2022;A new framework was developed to assess and monitor lake temperatures during the winter.&#x2022;High resolution thermal Unmanned Aerial Vehicle was used to assess lake temperature.&#x2022;The method can be helpful for local authorities to ensure urban lakes' safety for winter recreation.","url":"https://doi.org/10.1016/j.mex.2025.103390","authors":["Pereira P","Pinto LV","Inacio M","Barcelo D"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.1016/j.mex.2025.103390","addedAt":"2026-08-31T06:39:58.778Z","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"doi:10.1038/s41598-025-25762-2","name":"Elephant habituation to drones as a behavioural observation tool.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41598-025-25762-2","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.1038/s41598-025-25762-2","addedAt":"2026-08-31T06:39:58.778Z","updatedAt":"2026-08-31T06:40:00.189Z"},{"id":"doi:10.3390/s26010240","name":"UAV Vision-Based Method for Multi-Point Displacement Measurement of Bridges.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s26010240","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.3390/s26010240","addedAt":"2026-08-31T06:39:58.778Z","updatedAt":"2026-08-31T06:40:00.189Z"},{"id":"doi:10.3390/s25227057","name":"Outdoor Microphone Range Tests and Spectral Analysis of UAV Acoustic Signatures for Array Development.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s25227057","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.3390/s25227057","addedAt":"2026-08-31T06:39:58.778Z","updatedAt":"2026-08-31T06:40:00.189Z"},{"id":"doi:10.3390/ani15192789","name":"Livestock Dung Proxies Provide Insights into Grazing Density Quantification and Distribution.","source":"pubmed","abstract":"Managed grazing is the most widespread and economically significant form of grassland utilization worldwide. Accurate quantification of the spatiotemporal distribution of grazing intensity (GI) is crucial for promoting sustainable management of livestock-grassland ecosystems. However, a reliable method for dynamically monitoring GI and quantifying key proxies under real-world grazing conditions is still lacking. In this study, we developed a practical approach to estimate GI using sequential unmanned aerial vehicle (UAV) monitoring and evaluated its feasibility in a typical household pasture on the Qinghai-Tibetan Plateau, China. Our findings show that: (1) yak dung is clearly identifiable in UAV image, although detection accuracy decreases with increasing flight altitude (from 100% at 2 m to 93.16% at 20 m); (2) yak dung density serves as a feasible proxy for GI, effectively capturing its temporal and spatial variability; (3) yak dung density reflects cumulative GI from May to September, and its representativeness increases with the length of accumulation. The proposed approach is characterized by high frequency, accuracy, and efficiency. It is well-suited for studying animal behavior and evaluating livestock-resource relationships, thereby providing valuable insights for sustainable grassland ecosystem management.","url":"https://doi.org/10.3390/ani15192789","authors":["Huang B","Liu Y","Chen Y","Dong Y","Hou F","Chang S","Yi S","Sun Y"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.3390/ani15192789","addedAt":"2026-08-31T06:39:58.778Z","updatedAt":"2026-08-31T06:40:02.532Z"},{"id":"doi:10.1371/journal.pone.0344000","name":"An integrated method for lightweight design and additive manufacturing of UAV arms.","source":"europepmc","abstract":"","url":"https://doi.org/10.1371/journal.pone.0344000","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.1371/journal.pone.0344000","addedAt":"2026-08-31T06:39:58.778Z","updatedAt":"2026-08-31T06:40:00.189Z"},{"id":"doi:10.3390/s25206382","name":"Research on Optimization of RIS-Assisted Air-Ground Communication System Based on Reinforcement Learning.","source":"pubmed","abstract":"In urban emergency communication scenarios, building obstructions can reduce the performance of base station (BS) communication networks. To address such issues, this paper proposes an air-ground wireless network enabled by an unmanned aerial vehicle (UAV) and assisted by reconfigurable intelligent surfaces (RIS). This system enhances the efficacy of UAV-enabled MISO networks. Treating the UAV as an intelligent agent moving in 3D space, sensing changes in the channel environment, and adopting zero-forcing (ZF) precoding to eliminate interference from ground users. Meanwhile, joint design is performed for UAV movement, RIS phase shifts, and power allocation for users. We propose two deep reinforcement learning (DRL) algorithms, which are termed D3QN-WF and DDQN-WF, respectively. Simulation results indicate that D3QN-WF achieves a 15.9% higher sum rate and 50.1% greater throughput than the DDQN-WF baseline, while also demonstrating significantly faster convergence.","url":"https://doi.org/10.3390/s25206382","authors":["Yao Y","Liu X","Huang S","Yue X"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.3390/s25206382","addedAt":"2026-08-31T06:39:58.778Z","updatedAt":"2026-08-31T06:40:02.532Z"},{"id":"doi:10.3390/jimaging11110409","name":"Image Matching for UAV Geolocation: Classical and Deep Learning Approaches.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/jimaging11110409","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.3390/jimaging11110409","addedAt":"2026-08-31T06:39:58.778Z","updatedAt":"2026-08-31T06:40:00.189Z"},{"id":"doi:10.3390/s26030790","name":"YOLO-WL: A Lightweight and Efficient Framework for UAV-Based Wildlife Detection.","source":"pubmed","abstract":"Accurate wildlife detection in Unmanned Aerial Vehicle (UAV)-captured imagery is crucial for biodiversity conservation, yet it remains challenging due to the visual similarity of species, environmental disturbances, and the small size of target animals. To address these challenges, this paper introduces YOLO-WL, a wildlife detection algorithm specifically designed for UAV-based monitoring. First, a Multi-Scale Dilated Depthwise Separable Convolution (MSDDSC) module, integrated with the C2f-MSDDSC structure, expands the receptive field and enriches semantic representation, enabling reliable discrimination of species with similar appearances. Next, a Multi-Scale Large Kernel Spatial Attention (MLKSA) mechanism adaptively highlights salient animal regions across different spatial scales while suppressing interference from vegetation, terrain, and lighting variations. Finally, a Shallow-Spatial Alignment Path Aggregation Network (SSA-PAN), combined with a Spatial Guidance Fusion (SGF) module, ensures precise alignment and effective fusion of multi-scale shallow features, thereby improving detection accuracy for small and low-resolution targets. Experimental results on the WAID dataset demonstrate that YOLO-WL outperforms existing state-of-the-art (SOTA) methods, achieving 94.2% mAP@0.5 and 58.0% mAP@0.5:0.95. Furthermore, evaluations on the Aerial Sheep and AI-TOD datasets confirm YOLO-WL's robustness and generalization ability across diverse ecological environments. These findings highlight YOLO-WL as an effective tool for enhancing UAV-based wildlife monitoring and supporting ecological conservation practices.","url":"https://doi.org/10.3390/s26030790","authors":["Liu C","Wang P","Gong Y","Cheng A"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.3390/s26030790","addedAt":"2026-08-31T06:39:58.778Z","updatedAt":"2026-08-31T06:40:02.907Z"},{"id":"doi:10.3390/ani15213100","name":"Hierarchical Dual-Model Detection Framework for Spotted Seals Using Deep Learning on UAVs.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/ani15213100","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.3390/ani15213100","addedAt":"2026-08-31T06:39:58.778Z","updatedAt":"2026-08-31T06:40:00.189Z"},{"id":"doi:10.3390/s26041111","name":"Performance Analysis of LSTM, GRU and Hybrid LSTM-GRU Model for Detecting GPS Spoofing Attacks.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s26041111","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.3390/s26041111","addedAt":"2026-08-31T06:39:58.778Z","updatedAt":"2026-08-31T06:40:00.189Z"},{"id":"doi:10.5281/zenodo.21338033","name":"Welfare-Aware Underwater Robotics for Mariculture Monitoring: An Integrative Review with an Adriatic Sea Perspective","source":"datacite","abstract":"Marine aquaculture is expanding in response to rising seafood demand, declining capture fisheries, and the need for resilient blue food production systems. However, mariculture farms face persistent operational, environmental, and welfare risks, including net damage, escapes, disease outbreaks, harmful algal blooms, hypoxia, feed waste, biofouling, pollution events, shellfish contamination, and increased exposure to coastal traffic and climate-driven variability. Autonomous underwater vehicles and related unmanned marine systems offer a promising pathway for repeated, spatially explicit surveillance of fish cages, shellfish growing areas, seaweed farms, and offshore aquaculture infrastructure. This review synthesises current knowledge on autonomous underwater vehicles, remotely operated vehicles with autonomous functions, hybrid underwater vehicles, autonomous surface vehicle-supported underwater systems, and heterogeneous aerial-surface-underwater robotic architectures for mariculture monitoring. It examines enabling technologies, including underwater localisation, acoustic navigation, optical and sonar imaging, passive acoustics, water quality sensing, edge computing, AIoT architectures, multimodal fusion, and digital twins. Particular attention is given to navigation, communication, and mission planning in fish farm environments, where GNSS-denied operation, deformable nets, limited underwater communication, collision avoidance, and adaptive inspection logic constrain practical autonomy. The review argues that persistent robotic surveillance cannot be evaluated solely as an engineering problem. Underwater vehicles may act as biological stimuli through noise, vibration, particle motion, lighting, silhouette effects, proximity, hydrodynamic disturbance, collision risk, biosecurity transfer, and repeated exposure. AUV deployment must therefore be species-specific and welfare-aware, with mission design adapted to behaviour, sensory ecology, stocking density, feeding dynamics, oxygen demand, and sensitivity to disturbance. The Adriatic Sea is examined as a regional retrospective case, as it combines diverse mariculture systems, including sea bass, sea bream, Atlantic bluefin tuna, mussels, oysters, clams, lagoon production, shellfish safety concerns, tourism, shipping, pollution pressure, and emerging marine robotics initiatives. The article identifies major research gaps, including limited long-term evidence on repeated AUV exposure in cages, weak species-specific disturbance thresholds, insufficient multimodal datasets from commercial farms, and the need for integrated digital twin frameworks for adaptive, welfare-aware mission planning.","url":"https://doi.org/10.5281/zenodo.21338033","authors":["Grm, Aleksander"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.21338033","addedAt":"2026-08-31T06:39:58.778Z","updatedAt":"2026-08-31T06:39:58.778Z"},{"id":"doi:10.5281/zenodo.21338034","name":"Welfare-Aware Underwater Robotics for Mariculture Monitoring: An Integrative Review with an Adriatic Sea Perspective","source":"datacite","abstract":"Marine aquaculture is expanding in response to rising seafood demand, declining capture fisheries, and the need for resilient blue food production systems. However, mariculture farms face persistent operational, environmental, and welfare risks, including net damage, escapes, disease outbreaks, harmful algal blooms, hypoxia, feed waste, biofouling, pollution events, shellfish contamination, and increased exposure to coastal traffic and climate-driven variability. Autonomous underwater vehicles and related unmanned marine systems offer a promising pathway for repeated, spatially explicit surveillance of fish cages, shellfish growing areas, seaweed farms, and offshore aquaculture infrastructure. This review synthesises current knowledge on autonomous underwater vehicles, remotely operated vehicles with autonomous functions, hybrid underwater vehicles, autonomous surface vehicle-supported underwater systems, and heterogeneous aerial-surface-underwater robotic architectures for mariculture monitoring. It examines enabling technologies, including underwater localisation, acoustic navigation, optical and sonar imaging, passive acoustics, water quality sensing, edge computing, AIoT architectures, multimodal fusion, and digital twins. Particular attention is given to navigation, communication, and mission planning in fish farm environments, where GNSS-denied operation, deformable nets, limited underwater communication, collision avoidance, and adaptive inspection logic constrain practical autonomy. The review argues that persistent robotic surveillance cannot be evaluated solely as an engineering problem. Underwater vehicles may act as biological stimuli through noise, vibration, particle motion, lighting, silhouette effects, proximity, hydrodynamic disturbance, collision risk, biosecurity transfer, and repeated exposure. AUV deployment must therefore be species-specific and welfare-aware, with mission design adapted to behaviour, sensory ecology, stocking density, feeding dynamics, oxygen demand, and sensitivity to disturbance. The Adriatic Sea is examined as a regional retrospective case, as it combines diverse mariculture systems, including sea bass, sea bream, Atlantic bluefin tuna, mussels, oysters, clams, lagoon production, shellfish safety concerns, tourism, shipping, pollution pressure, and emerging marine robotics initiatives. The article identifies major research gaps, including limited long-term evidence on repeated AUV exposure in cages, weak species-specific disturbance thresholds, insufficient multimodal datasets from commercial farms, and the need for integrated digital twin frameworks for adaptive, welfare-aware mission planning.","url":"https://doi.org/10.5281/zenodo.21338034","authors":["Grm, Aleksander"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.21338034","addedAt":"2026-08-31T06:39:58.778Z","updatedAt":"2026-08-31T06:39:58.778Z"},{"id":"doi:10.48550/arxiv.2608.09150","name":"OGG-FR: Orthogonal Gradient Gaming and Frequency Rectification for Unmanned Aerial Vehicle Infrared Image Super-Resolution","source":"datacite","abstract":"Unmanned aerial vehicle (UAV) infrared image super-resolution aims to recover weak thermal structures for deployment on resource-constrained platforms; lightweight models are therefore preferred, but multi-loss training can be unstable. A common strategy combines pixel-domain and frequency-domain objectives; however, low contrast, limited high-frequency content, and sensor-specific noise often make their gradients weakly aligned or conflicting. To address this optimization ambiguity, we propose Orthogonal Gradient Gaming and Frequency Rectification (OGG-FR), a plug-and-play optimization framework that decomposes the frequency gradient into a redundant parallel component and an orthogonal innovation component relative to the pixel gradient. In the conflict regime, OGG-FR computes a safe base gradient using the Multiple Gradient Descent Algorithm (MGDA) and adds a variance-rectified orthogonal innovation; in the compatible regime, it discards redundant parallel information and injects the orthogonal innovation according to a confidence score estimated from the high-frequency residual. Experimental results on the UAV thermal benchmark show broad gains under BI and BD degradations at $\\times 4$ and $\\times 8$ scales, while gradient analyses support the effectiveness of the proposed conflict-aware update rule.","url":"https://doi.org/10.48550/arxiv.2608.09150","authors":["Huang, Yongsong","Wang, Qingzhong","Liu, Xiaofeng","Miyazaki, Tomo","Fan, Yaohou","Omachi, Shinichiro"],"tags":["Computer Vision and Pattern Recognition (cs.CV)","FOS: Computer and information sciences"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.48550/arxiv.2608.09150","addedAt":"2026-08-31T06:39:58.778Z","updatedAt":"2026-08-31T06:39:58.778Z"},{"id":"doi:10.48550/arxiv.2608.05792","name":"When Agentic AI Meets Integrated Sensing and Communication","source":"datacite","abstract":"Agentic artificial intelligence (AI) is transforming Integrated Sensing and Communication (ISAC) from a function-oriented physical-layer technology into a goal-driven, closed-loop intelligent system, a paradigm we term AISAC. Existing work on learning-based sensing, resource allocation, reconfigurable intelligent surfaces (RIS), edge intelligence, multi-agent coordination, and resilient networking has developed largely in isolation. This survey unifies the literature within a six-stage closed-loop framework comprising observation, contextualization, reasoning and prediction, planning and orchestration, execution and collaboration, and feedback and resilience. It also introduces five levels of agentic maturity, ranging from physical-layer primitives to fully closed-loop agentic ISAC. We use this framework to review advances in multimodal intelligence, large language models, reinforcement learning, federated learning, RIS-assisted control, Unmanned Aerial Vehicle (UAV) and vehicular networks, and AI-native network management, and analyze privacy, security, resilience, and sustainability as cross-cutting requirements of the full perception-reasoning-action loop. An audit of representative studies against nine agentic-specific evaluation criteria shows that no system reports more than one or two of them, exposing a gap between claimed and demonstrated agentic maturity. We identify open challenges in physical-to-semantic grounding, predictive world models, real-time agent-PHY interaction, safe tool use, heterogeneous multi-agent collaboration, benchmarking, and resource-efficient autonomy.","url":"https://doi.org/10.48550/arxiv.2608.05792","authors":["Li, Kai","Li, Conggai","Siddiqui, Sarah Ali","Ahmed, Syed Sohail","Yuan, Xin","Li, Shenghong","Ni, Wei"],"tags":["Artificial Intelligence (cs.AI)","FOS: Computer and information sciences"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.48550/arxiv.2608.05792","addedAt":"2026-08-31T06:39:58.778Z","updatedAt":"2026-08-31T06:39:58.778Z"},{"id":"doi:10.5281/zenodo.21797246","name":"AI-DRIVEN ROAD DAMAGE ASSESSMENT USING DRONE-CAPTURED IMAGES AND DEEP LEARNING-BASED OBJECT DETECTION","source":"datacite","abstract":"Timely detection of road-surface defects such as potholes, longitudinal cracks, alligator cracking, and patch repairs is essential for keeping transportation networks safe and for planning cost-effective maintenance. Manual road surveys remain slow, expensive, and place field personnel at risk, which motivates automated alternatives. This paper presents an AI-driven pipeline that pairs Unmanned Aerial Vehicle (UAV) image acquisition with deep-learning-based object detection to identify and localize road damage without requiring an inspector to walk or drive the surveyed stretch. Drone imagery is first passed through a preprocessing stage — resizing, contrast normalization, and Gaussian-filter-based noise suppression — before being fed to a Convolutional Neural Network (CNN) detection backbone. Successive members of the YOLO object-detection family, namely YOLOv4, YOLOv5, and a Transformer-Prediction-Head variant of YOLOv5, were trained on a merged corpus built from the public RDD2022 road-damage dataset and a regional Spanish road-imagery collection, so that the resulting detector generalizes across differing pavement types, marking conventions, and camera geometries. A fourth configuration, YOLOv7, was additionally evaluated to gauge how far continued progression within the YOLO family alone could push detection accuracy. On a held-out test split, the detectors reached a mean Average Precision at an IoU threshold of 0.5 (mAP@0.5) of 26.8% for the YOLOv4 baseline, 59.9% for YOLOv5, 65.7% for the Transformer-augmented YOLOv5 variant, and 73.2% for YOLOv7, indicating that both architecture progression and attention-based prediction heads improve localization of irregularly shaped defects such as alligator cracks. The complete system is delivered as a Django web application with separate user and administrator roles, allowing non-technical maintenance staff to upload imagery, trigger detection, and review flagged damage on a dashboard, while administrators retrain and monitor the underlying model. The results suggest that combining UAV-based data collection with modern anchor-based and transformer-augmented detectors is a practical route toward continuous, low-cost, low-risk road-condition monitoring for municipal and highway authorities.","url":"https://doi.org/10.5281/zenodo.21797246","authors":["Guntoju Vidhwan, K. Balakrishna Maruthiram"],"tags":["Road Damage Detection, Unmanned Aerial Vehicles, Deep Learning, YOLOv4, YOLOv5, Transformer Prediction Head, Convolutional Neural Network, Intelligent Transportation Systems."],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.21797246","addedAt":"2026-08-31T06:39:58.778Z","updatedAt":"2026-08-31T06:39:58.778Z"},{"id":"doi:10.5281/zenodo.21797247","name":"AI-DRIVEN ROAD DAMAGE ASSESSMENT USING DRONE-CAPTURED IMAGES AND DEEP LEARNING-BASED OBJECT DETECTION","source":"datacite","abstract":"Timely detection of road-surface defects such as potholes, longitudinal cracks, alligator cracking, and patch repairs is essential for keeping transportation networks safe and for planning cost-effective maintenance. Manual road surveys remain slow, expensive, and place field personnel at risk, which motivates automated alternatives. This paper presents an AI-driven pipeline that pairs Unmanned Aerial Vehicle (UAV) image acquisition with deep-learning-based object detection to identify and localize road damage without requiring an inspector to walk or drive the surveyed stretch. Drone imagery is first passed through a preprocessing stage — resizing, contrast normalization, and Gaussian-filter-based noise suppression — before being fed to a Convolutional Neural Network (CNN) detection backbone. Successive members of the YOLO object-detection family, namely YOLOv4, YOLOv5, and a Transformer-Prediction-Head variant of YOLOv5, were trained on a merged corpus built from the public RDD2022 road-damage dataset and a regional Spanish road-imagery collection, so that the resulting detector generalizes across differing pavement types, marking conventions, and camera geometries. A fourth configuration, YOLOv7, was additionally evaluated to gauge how far continued progression within the YOLO family alone could push detection accuracy. On a held-out test split, the detectors reached a mean Average Precision at an IoU threshold of 0.5 (mAP@0.5) of 26.8% for the YOLOv4 baseline, 59.9% for YOLOv5, 65.7% for the Transformer-augmented YOLOv5 variant, and 73.2% for YOLOv7, indicating that both architecture progression and attention-based prediction heads improve localization of irregularly shaped defects such as alligator cracks. The complete system is delivered as a Django web application with separate user and administrator roles, allowing non-technical maintenance staff to upload imagery, trigger detection, and review flagged damage on a dashboard, while administrators retrain and monitor the underlying model. The results suggest that combining UAV-based data collection with modern anchor-based and transformer-augmented detectors is a practical route toward continuous, low-cost, low-risk road-condition monitoring for municipal and highway authorities.","url":"https://doi.org/10.5281/zenodo.21797247","authors":["Guntoju Vidhwan, K. Balakrishna Maruthiram"],"tags":["Road Damage Detection, Unmanned Aerial Vehicles, Deep Learning, YOLOv4, YOLOv5, Transformer Prediction Head, Convolutional Neural Network, Intelligent Transportation Systems."],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.21797247","addedAt":"2026-08-31T06:39:58.778Z","updatedAt":"2026-08-31T06:39:58.778Z"},{"id":"doi:10.48550/arxiv.2607.28996","name":"SULAND v2: A Refined RGB Dataset and Deep Learning Object Detection Benchmark for UAV/UGV-Based SUrface LANDmine Detection Under Domain Shift","source":"datacite","abstract":"RGB imagery offers a practical, low-cost option for Unmanned Aerial/Ground Vehicle (UAV/UGV) survey support in surface-landmine detection, but object detectors remain underexplored in this safety-critical domain. Limited cross-architecture benchmarking and insufficient out-of-distribution (OOD) analysis obscure whether detectors generalize across deployment conditions. This challenge is amplified by the scarcity of public RGB landmine datasets, making SULAND a key benchmark for PFM-1 and PMA-2 detection. However, inspection reveals missing/false annotations, localization errors, inconsistent visibility criteria, visual artifacts, temporal labeling inconsistencies, and an inverted OOD class-ID convention in SULAND. We present SULAND_v2, a refined RGB surface-landmine dataset and benchmark. Preserving original images and splits, we manually revise annotations to ensure completeness, precise localization, label validity, and class consistency. SULAND_v2 contains 33,771 images and 12,433 bounding boxes. We benchmark 35 detector configurations across nine families. Annotation refinement improves YOLOv8 in-distribution (IID) test mAP@50 by 14.6-19.6 percentage points, while fixing the OOD class-ID convention increases mean YOLOv8 OOD mAP@50 by ~25 percentage points. On SULAND_v2, YOLOv12-Small achieves the highest IID mAP@50 (0.908), while RF-DETR-Large yields the strongest OOD performance (0.799 mAP@50, 0.675 recall). Our results demonstrate that high IID accuracy does not guarantee operational readiness. SULAND_v2 provides a reliable benchmark for evaluating domain-shift robustness in RGB-based mine-action survey support.","url":"https://doi.org/10.48550/arxiv.2607.28996","authors":["Lekhak, Sagar","Pulakurthi, Prasanna Reddy","Joshi, Lalit","Bhatta, Ramesh","Ientilucci, Emmett J."],"tags":["Computer Vision and Pattern Recognition (cs.CV)","FOS: Computer and information sciences"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.48550/arxiv.2607.28996","addedAt":"2026-08-31T06:39:58.778Z","updatedAt":"2026-08-31T06:39:58.778Z"},{"id":"doi:10.17605/osf.io/nd6b9","name":"Drone Technology in Prehospital Trauma and Emergency Care and the Absence of Orthopedic Outcomes: A Scoping Review","source":"datacite","abstract":"This systematic review, titled \"Applications of Drone Technology in Trauma and Emergency Medical Care: Implications for Orthopedic Injury Management,\" evaluates the current evidence on unmanned aerial vehicle (UAV) use in prehospital emergency response, with a focus on implications for orthopedic trauma care. Rapid response is critical in traumatic orthopedic injuries, where delays in hemorrhage control, immobilization, and transport contribute to increased morbidity and mortality. Despite growing interest in drone technology for emergency medicine, its specific role in orthopedic trauma management has not been systematically characterized. The research team conducted a structured literature search across PubMed, Scopus, Embase, and the Cochrane Library, covering articles published between 2015 and 2025. Evidence indicates that drones can reduce delivery times for critical equipment such as tourniquets, automated external defibrillators (AEDs), splints, and pelvic binders, and may support remote triage and telementored hemorrhage control.","url":"https://doi.org/10.17605/osf.io/nd6b9","authors":["Brian Tani","Adam Haddad"],"tags":["Business","Emergency Medicine","Orthopedics","Aeronautical Vehicles","Emergency and Disaster Management","Medicine and Health Sciences","Public Affairs, Public Policy and Public Administration","Medical Specialties"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.17605/osf.io/nd6b9","addedAt":"2026-08-31T06:39:58.778Z","updatedAt":"2026-08-31T06:39:59.256Z"},{"id":"doi:10.5281/zenodo.21688843","name":"Drone Assisted Effective Pesticide Sprayer","source":"datacite","abstract":"This paper is an intend to consolidate the review and perform literature survey on Drone Assisted Effective Sprayer. In this paper we consider how we use unmanned aerial vehicle (drone) in effective pesticide spraying using algorithms like CNN and YOLO. In India, Agriculture is a major sector of our economy. To increase the gross crop yield and to enhance the potency of the crops, the application of pesticides and fertilizers is crucial. To increase the speed and effectiveness of the spraying process, the use of drones are being introduced in agriculture all around the world. The same pesticide cannot be sprayed over different crops as their requirements differ. In this paper we analyse CNN and YOLO algorithms to find a specific crop and spray pesticide to a specific area of crop field.","url":"https://doi.org/10.5281/zenodo.21688843","authors":["P, Vandana C","Prakash, Anuj","Bhowal, Arnab","D, Monisha Taj"],"tags":["Drone","Agriculture","machine learning","Python","CNN","YOLO","Object Detection","OpenCV"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2020","doi":"10.5281/zenodo.21688843","addedAt":"2026-08-31T06:39:58.778Z","updatedAt":"2026-08-31T06:39:58.778Z"},{"id":"doi:10.5281/zenodo.21688842","name":"Drone Assisted Effective Pesticide Sprayer","source":"datacite","abstract":"This paper is an intend to consolidate the review and perform literature survey on Drone Assisted Effective Sprayer. In this paper we consider how we use unmanned aerial vehicle (drone) in effective pesticide spraying using algorithms like CNN and YOLO. In India, Agriculture is a major sector of our economy. To increase the gross crop yield and to enhance the potency of the crops, the application of pesticides and fertilizers is crucial. To increase the speed and effectiveness of the spraying process, the use of drones are being introduced in agriculture all around the world. The same pesticide cannot be sprayed over different crops as their requirements differ. In this paper we analyse CNN and YOLO algorithms to find a specific crop and spray pesticide to a specific area of crop field.","url":"https://doi.org/10.5281/zenodo.21688842","authors":["P, Vandana C","Prakash, Anuj","Bhowal, Arnab","D, Monisha Taj"],"tags":["Drone","Agriculture","machine learning","Python","CNN","YOLO","Object Detection","OpenCV"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2020","doi":"10.5281/zenodo.21688842","addedAt":"2026-08-31T06:39:58.778Z","updatedAt":"2026-08-31T06:39:58.778Z"},{"id":"doi:10.48550/arxiv.2607.25310","name":"Human-in-the-Loop Signature Bootstrapping for UAV Hyperspectral PFM-1 Mine Detection","source":"datacite","abstract":"Hyperspectral imaging (HSI) is useful for material discrimination, but operational mine screening also depends on how many false alarms must be inspected before targets are found. This paper studies PFM-1 landmine detection in unmanned aerial vehicle (UAV) visible and near-infrared (VNIR) HSI using spectral angle mapper (SAM), matched filter (MF), adaptive coherence estimator (ACE), and constrained energy minimization (CEM). We compare a ground-measured SVC signature, a fully informed in-scene core-pixel signature, and a simulated human-in-the-loop signature bootstrap. Besides receiver operating characteristic area under the curve and average precision, we report target-discovery curves and spatial candidate-review counts. Full-review bootstrapping reaches the fully informed in-scene signature case after all seven target regions are verified, but the required inspection effort varies strongly: ACE confirms all regions in two rounds and nine candidate inspections, whereas the SAM variants need thousands of candidate reviews for their final target locations. Code is available at https://github.com/SagarLekhak/IEEE_WHISPERS_2026_UAV_HSI_PFM1.","url":"https://doi.org/10.48550/arxiv.2607.25310","authors":["Lekhak, Sagar","Pulakurthi, Prasanna Reddy","Ientilucci, Emmett J."],"tags":["Computer Vision and Pattern Recognition (cs.CV)","Image and Video Processing (eess.IV)","FOS: Computer and information sciences","FOS: Electrical engineering, electronic engineering, information engineering"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.48550/arxiv.2607.25310","addedAt":"2026-08-31T06:39:58.778Z","updatedAt":"2026-08-31T06:39:58.778Z"},{"id":"doi:10.17605/osf.io/7vrzx","name":"Emerging Applications of Artificial Intelligence and Remote Sensing in Animal Production System Modeling and Charac-terization: A Scoping Review","source":"datacite","abstract":"This research project is a scoping review examining how remote sensing, artificial intelligence, machine learning, and geospatial methods have been used to identify, locate, map, count, or characterize animal production facilities and production animals. The review responds to the limited availability of comprehensive and spatially accurate information on animal production locations. Such information is essential for disease surveillance, outbreak preparedness, epidemiological modeling, emergency planning and response, resource allocation, environmental monitoring, and agricultural policy. Existing administrative and agricultural census data may be aggregated, incomplete, outdated, confidential, or inconsistent across jurisdictions. Remote sensing and artificial intelligence may therefore provide complementary methods for identifying animal production systems over large geographic areas. The primary purpose of the review is to systematically map and describe methods used to remotely locate animal production. It will include studies using satellite, aerial, unmanned aerial vehicle, and other remotely sensed imagery, either alone or combined with administrative, census, environmental, infrastructure, or other geospatial data. Relevant methods may include object-based image analysis, image classification, semantic and instance segmentation, object detection, convolutional neural networks, deep learning, probabilistic spatial models, rule-based filtering, and hybrid approaches combining detected and simulated locations. The review will describe the target species, production systems, geographic regions, and applications represented in the literature. It will also characterize imagery sources, spatial resolution, geographic coverage, ancillary data, artificial intelligence architectures, training datasets, annotation procedures, transfer learning, data augmentation, and post-processing methods. Model evaluation and validation strategies will be summarized, including precision, recall, accuracy, F1-score, intersection over union, mean average precision, confusion matrices, independent ground-truth comparisons, buffer capture, density comparisons, and related spatial measures. A systematic search will be conducted in CAB Abstracts, IEEE Xplore, Web of Science, and an agricultural and environmental science database. Records will be deduplicated and screened using predefined eligibility criteria. Data will be extracted using a standardized form covering study context, objectives, production system, target species, geographic setting, data sources, imagery characteristics, analytical methods, training and validation procedures, reported outcomes, limitations, and intended applications. Because substantial methodological heterogeneity is expected, findings will be synthesized descriptively rather than through meta-analysis. Studies will be grouped by analytical function, including facility classification, building or animal detection, segmentation, operation mapping, population estimation, temporal monitoring, and integration with epidemiological or biosecurity systems. Expected outcomes include a structured overview of the evidence base, a taxonomy of available methods, and a comparison of their capabilities and limitations. The review will identify gaps in external validation, geographic transferability, application beyond poultry, detection of heterogeneous or extensive production systems, routine operational implementation, temporal monitoring, and integration with animal-health information systems. Ultimately, the review is intended to guide researchers and agencies in selecting, validating, and improving methods for remotely locating animal production and to establish priorities for methodological standardization, transparent reporting, reproducibility, scalability, and cross-context transferability.","url":"https://doi.org/10.17605/osf.io/7vrzx","authors":["Jairo Enrique Palomares Velosa"],"tags":["Remote Sensing","Physical Sciences and Mathematics","Agriculture","Veterinary Medicine","Medicine and Health Sciences","Life Sciences","Veterinary Preventive Medicine, Epidemiology, and Public Health","Computer Sciences"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.17605/osf.io/7vrzx","addedAt":"2026-08-31T06:39:58.778Z","updatedAt":"2026-08-31T06:39:58.778Z"},{"id":"doi:10.26190/unsworks/30895","name":"Smart Communication Design for Secured Intelligent Transport Systems","source":"datacite","abstract":"With the global attention to 6G, the promising massive connectivity for Internet of Things (IoT) applications within smart cities to improve life quality. Vehicular communication, including Unmanned Aerial Vehicles (UAVs)-assisted wireless communication, plays a crucial role in Intelligent Transportation Systems (ITS), aiming to increase road capacity and safety. However, the dramatic rise in IoT devices and vehicle numbers presents significant challenges in power consumption and data transmission security. Addressing these challenges with smart, energy-efficient communication techniques is essential for the broader adoption of ITS. Therefore, considering the limited resources of each device in the ITS, this thesis explores the integration of low computational cost Physical Layer Security (PLS) and energy-efficient strategies within ITS, culminating in the design of a PLS framework for energy-efficient backscatter-assisted vehicular networks. The initial chapter introduces PLS and backscatter techniques in vehicular contexts alongside our motivations. The subsequent chapter details the thesis’s contributions and a comprehensive literature review. During my MPhil, I investigated PLS and backscatter techniques separately to understand their function within vehicular networks before integrating them together. In Chapter 3, I explore PLS designs in Vehicle-to-Vehicle (V2V) communications within untrusted platoon networks, utilising dual strategies for subcarrier allocation and power control to optimise the sum secrecy rate. Chapter 4 investigates an unmanned aerial vehicle (UAV)-assisted backscatter devices data collection framework with reinforcement learning. Chapter 5 is dedicated to the experimental validation of the feasibility of PLS against proactive eavesdropping attacks in backscatter networks by utilising commercial hardware. Recognising the lack of consideration for the mobility characteristic of vehicular networks in backscattering communication, Chapter 6 concentrates on integrating PLS with backscatter techniques in vehicular networks. This integration optimises backscatter coefficients, vehicle state design, and continuous wave and artificial noise power settings to maximise secrecy rates and reach the final goal of this thesis. The thesis concludes in Chapter 7, summarising the findings and proposing potential future research directions in wireless communications for ITS.","url":"https://doi.org/10.26190/unsworks/30895","authors":["Zhao, Ruotong"],"tags":["Physical Layer Security","Backscattering Communication","Optimisation","400608 Wireless communication systems and technologies (incl. microwave and millimetrewave)","460499 Cybersecurity and privacy not elsewhere classified"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.26190/unsworks/30895","addedAt":"2026-08-31T06:39:58.778Z","updatedAt":"2026-08-31T06:39:58.778Z"},{"id":"doi:10.26187/deakin.32946311","name":"A Survey of Dynamic Wireless Power Transfer for Persistent UAV Transportation in Low‐Altitude Economy: The Field–Motion Framework","source":"datacite","abstract":"ABSTRACT The endurance limitations of onboard batteries and operational interruptions caused by static charging remain major barriers to scalable unmanned aerial vehicle (UAV) deployment in emerging low‐altitude economy. Dynamic wireless power transfer (DWPT) has recently emerged as a key enabling technology for persistent aerial mobility by allowing energy replenishment during flight without landing. This paper presents a comprehensive survey and introduces a unified field‐motion system framework that links DWPT mechanisms with UAV mobility states and operational requirements. Existing DWPT approaches are systematically classified along two orthogonal dimensions: physical field characteristics (near‐field inductive coupling and far‐field radiative transmission) and motion dynamics (quasi‐static hovering to fully dynamic flight). The survey reveals that near‐field ground‐to‐air configurations achieve high efficiency and robustness through Parity‐Time (PT)‐symmetric compensation and three‐dimensional coil structures, while far‐field air‐to‐air energy transfer enabled by beam‐shaped laser and microwave arrays supports long‐range energy relay under dynamic alignment uncertainty. Building upon these insights, the paper proposes a layered heterogeneous energy architecture integrating high‐efficiency local charging nodes with flexible long‐distance energy relays, forming a multi‐tier aerial energy replenishment network analogous to aerial refuelling systems. By explicitly connecting energy transfer modalities with UAV operational dynamics, infrastructure deployment, and persistent mission planning, this review establishes a system‐level perspective for energy‐aware UAV transportation networks. The presented framework provides design guidelines and research directions toward scalable, continuously operating aerial logistics, inspection, and sensing services in future low‐altitude intelligent transportation systems.","url":"https://doi.org/10.26187/deakin.32946311","authors":["Rui Xue","Guidong Zhang","Samson Yu","Lihao Wu","Wenjie Ma","Yun Zhang"],"tags":["Engineering","Control engineering, mechatronics and robotics","Artificial intelligence","Information and computing sciences","Mechanical engineering"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.26187/deakin.32946311","addedAt":"2026-08-31T06:39:58.778Z","updatedAt":"2026-08-31T06:39:58.778Z"},{"id":"doi:10.6084/m9.figshare.32587757.v1","name":"Advances and challenges in plastic detection: a critical review of studies employing hyperspectral data","source":"datacite","abstract":"Plastic pollution is a growing global problem with severe environmental impacts. Hyperspectral remote sensing offers promising capabilities to detect plastics through their distinctive spectral signatures, enabling monitoring across different environments. Despite rapid technological advances and increasing research activity in this field, existing reviews rarely integrate hyperspectral laboratory spectra with image-based hyperspectral data from unmanned aerial vehicles, airborne sensors, and satellite platforms for plastic detection across diverse environments. This review is based on a structured literature search of the Web of Science, identifying studies published between 2014 and 2025; twenty-nine met the inclusion criteria and were examined to summarize the plastics investigated, the platforms and sensors used, data characteristics and analytical approaches. Key advances include the creation of spectral libraries, identification of diagnostic wavelengths in the shortwave infrared region and improvements in sensors and classification methods. Studies using unmanned aerial vehicles remain rare and often lack shortwave infrared coverage. Satellite observations provide wide geographical coverage but are limited in spatial and spectral resolution. Plastics such as polyethylene, polypropylene and polystyrene tend to exhibit more distinct spectral features and are more easily detected compared with polyethylene terephthalate, polyvinyl chloride or transparent plastics, particularly when wet or degraded. Detection performance also declines in the presence of environmental interference, mixed pixels and insufficient atmospheric or geometric correction. Future research should prioritize standardized datasets, integration of laboratory and image-based data using simulated and unmanned aerial vehicle platforms with full visible to shortwave infrared capability, and development of classification models validated under real environmental conditions.","url":"https://doi.org/10.6084/m9.figshare.32587757.v1","authors":["Mojmír Polák","Lucie Kupková"],"tags":["Space Science","Environmental Sciences not elsewhere classified","Biological Sciences not elsewhere classified","Information Systems not elsewhere classified","Inorganic Chemistry"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.6084/m9.figshare.32587757.v1","addedAt":"2026-08-31T06:39:58.778Z","updatedAt":"2026-08-31T06:39:59.256Z"},{"id":"doi:10.6084/m9.figshare.32587757","name":"Advances and challenges in plastic detection: a critical review of studies employing hyperspectral data","source":"datacite","abstract":"Plastic pollution is a growing global problem with severe environmental impacts. Hyperspectral remote sensing offers promising capabilities to detect plastics through their distinctive spectral signatures, enabling monitoring across different environments. Despite rapid technological advances and increasing research activity in this field, existing reviews rarely integrate hyperspectral laboratory spectra with image-based hyperspectral data from unmanned aerial vehicles, airborne sensors, and satellite platforms for plastic detection across diverse environments. This review is based on a structured literature search of the Web of Science, identifying studies published between 2014 and 2025; twenty-nine met the inclusion criteria and were examined to summarize the plastics investigated, the platforms and sensors used, data characteristics and analytical approaches. Key advances include the creation of spectral libraries, identification of diagnostic wavelengths in the shortwave infrared region and improvements in sensors and classification methods. Studies using unmanned aerial vehicles remain rare and often lack shortwave infrared coverage. Satellite observations provide wide geographical coverage but are limited in spatial and spectral resolution. Plastics such as polyethylene, polypropylene and polystyrene tend to exhibit more distinct spectral features and are more easily detected compared with polyethylene terephthalate, polyvinyl chloride or transparent plastics, particularly when wet or degraded. Detection performance also declines in the presence of environmental interference, mixed pixels and insufficient atmospheric or geometric correction. Future research should prioritize standardized datasets, integration of laboratory and image-based data using simulated and unmanned aerial vehicle platforms with full visible to shortwave infrared capability, and development of classification models validated under real environmental conditions.","url":"https://doi.org/10.6084/m9.figshare.32587757","authors":["Mojmír Polák","Lucie Kupková"],"tags":["Space Science","Environmental Sciences not elsewhere classified","Biological Sciences not elsewhere classified","Information Systems not elsewhere classified","Inorganic Chemistry"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.6084/m9.figshare.32587757","addedAt":"2026-08-31T06:39:58.778Z","updatedAt":"2026-08-31T06:39:59.256Z"},{"id":"doi:10.48550/arxiv.2607.06706","name":"Vision Language Action (VLA) Models for Unmanned Aerial Robotics and Bimanual Manipulation: A Review","source":"datacite","abstract":"Vision Language Action (VLA) models unify visual perception, natural-language understanding, and action generation within a single foundation model, allowing a robot to follow instructions such as fold the towel or fly to the red building directly from camera images. Because VLAs inherit world knowledge from internet-scale pre-training, they have become the dominant framework for learning-based manipulation, with bimanual coordination serving as the most demanding testbed: two arms with 7 degrees of freedom each must move in concert to fold, assemble, and reorient objects. Unmanned aerial robotics faces a structurally similar challenge: a drone must coordinate thrust, attitude, and increasingly gripper commands from visual observations under strict latency and payload constraints. This review covers 183 contributions spanning 2017-2026 and organized along seven dimensions: VLA architectures, training recipes, action representations, bimanual coordination (2022-2026), unmanned aerial vehicle (UAV) navigation and control (2017-2026), language grounding, and cross-cutting concerns including memory and world models. We show that the coordination strategies, training recipes, and action representations developed for bimanual VLAs transfer to unmanned aerial systems and identify fourteen research directions across both domains.","url":"https://doi.org/10.48550/arxiv.2607.06706","authors":["Sa, Inkyu","Park, Chanoh","Lee, Hea-Min","Noh, Donghee","Ahn, Ho Seok"],"tags":["Robotics (cs.RO)","Artificial Intelligence (cs.AI)","Machine Learning (cs.LG)","FOS: Computer and information sciences"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.48550/arxiv.2607.06706","addedAt":"2026-08-31T06:39:58.778Z","updatedAt":"2026-08-31T06:39:58.973Z"},{"id":"doi:10.24412/2410-9916-2026-2-238-310","name":"Анализ работ, моделей и актуальных направлений исследований в области противовоздушной обороны. Часть 1. Моделирование действий по отражению воздушного удара. Обнаружение, опознавание, распознавание, сопровождение и целераспределение воздушных объектов","source":"datacite","abstract":"Актуальность. Анализ современных военных конфликтов показывает, что одним из важных составляющих успеха при ведении боевых действий является противовоздушная оборона (ПВО). При этом целесообразным является развитие научно-методического аппарата боевого применения сил и средств ПВО и повышения их боевой эффективности. Такое развитие может быть основано на глубоком и всестороннем анализе научного задела, имеющегося по этой тематике. В связи с этим, актуальным является анализ известных работ и моделей, подходов к моделированию, а также актуальных направлений исследования. Целью работы является анализ известных публикаций, моделей и подходов к моделированию, а также актуальных направлений исследований в области ПВО. В данной части работы особое внимание уделено моделированию действий сил и средств ПВО по отражению воздушного удара, а также обнаружению, опознаванию, распознаванию, сопровождению и целераспределению воздушных объектов. Используемые методы. Решение задачи основано на использовании методов анализа, индукции и дедукции теории логики. Результат. На основе анализа более 180 источников, находящихся в открытом доступе, выявлены общие и частные закономерности исследования противовоздушных действий и оценки их эффективности, в частности: моделирования действий сил и средств ПВО по отражению воздушного удара, а также обнаружения, опознавания, распознавания, сопровождения и целераспределения воздушных объектов. Новизна. Элементами новизны работы являются выявленные общие и частные закономерности и подходы к исследованию боевых действий ПВО и ее боевой эффективности на основе использования различных подходов к моделированию и путем использования различного научно-методического аппарата. Практическая значимость. Представленный анализ может быть использован техническими специалистами для обоснования новых технологических решений в области совершенствования комплексов и систем ПВО, а также военными специалистами – для обоснования новых способов вооруженной борьбы в воздухе с учетом перспектив совершенствования средств ПВО. Кроме того, данный анализ будет полезен научным работникам и соискателям, ведущим научные исследования в области ПВО.","url":"https://doi.org/10.24412/2410-9916-2026-2-238-310","authors":["Макаренко Сергей Иванович","Афонин Илья Евгеньевич","Тхакахов Алим Артурович"],"tags":["боевые действия","моделирование","моделирование боевых действий","противовоздушная оборона","средства воздушного нападения","средства воздушно-космического нападения","зенитно-ракетный комплекс","силы противовоздушной обороны"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.24412/2410-9916-2026-2-238-310","addedAt":"2026-08-31T06:39:58.778Z","updatedAt":"2026-08-31T06:39:58.778Z"},{"id":"doi:10.17605/osf.io/s9wc2","name":"UTILITY OF MULTISPECTRAL CAMERA IN UNMANNED AERIAL VEHICLE IN PRECISION AGRICULTURE: A REVIEW","source":"datacite","abstract":"Karad Sachin Chandravadan1, Khose Suyog balasaheb","url":"https://doi.org/10.17605/osf.io/s9wc2","authors":["Edwin "],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2021","doi":"10.17605/osf.io/s9wc2","addedAt":"2026-08-31T06:39:58.778Z","updatedAt":"2026-08-31T06:39:58.778Z"},{"id":"doi:10.5281/zenodo.20562462","name":"AI-Assisted Dynamic RSU Deployment Using Real Time Traffic Density Estimation in VANETs: A Comprehensive Survey","source":"datacite","abstract":"Vehicular Ad Hoc Networks (VANETs) have become a cornerstone of Intelligent Transportation Systems (ITS), enabling real-time communication among vehicles, roadside infrastructure, and transportation management entities. Roadside Units (RSUs) play a critical role in supporting Vehicle-to-Infrastructure (V2I) communications, traffic monitoring, safety applications, and information dissemination. However, conventional static RSU deployment strategies often fail to accommodate rapidly changing traffic conditions, resulting in reduced coverage efficiency, increased communication delays, and inefficient utilization of infrastructure resources. To address these limitations, recent research has focused on integrating Artificial Intelligence (AI) techniques with real-time traffic density estimation to support dynamic and adaptive RSU deployment. This survey presents a comprehensive review of AI assisted dynamic RSU deployment approaches in VANET environments. The study examines traffic density estimation methods, RSU deployment strategies, optimization algorithms, machine learning models, deep learning techniques, and emerging intelligent transportation frameworks. Furthermore, the survey categorizes existing literature according to deployment methodology, traffic prediction approach, and intelligence level while providing a comparative analysis of current solutions. Major research challenges including scalability, computational complexity, security, privacy, and infrastructure costs are discussed. Finally, future research directions involving reinforcement learning, federated learning, edge intelligence, digital twins, unmanned aerial vehicle-assisted RSUs, and 6G-enabled vehicular networks are highlighted. The survey aims to serve as a comprehensive reference for researchers and practitioners working toward the development of adaptive, intelligent, and efficient vehicular communication infrastructures.","url":"https://doi.org/10.5281/zenodo.20562462","authors":["Shashank","Dr. Sayyada F"],"tags":["Vehicular Ad Hoc Networks, Roadside Units, Dynamic RSU Deployment, Traffic Density Estimation, Artificial Intelligence, Machine Learning, Intelligent Transportation Systems, V2X Communication, Smart Mobility"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.20562462","addedAt":"2026-08-31T06:39:58.778Z","updatedAt":"2026-08-31T06:39:58.778Z"},{"id":"doi:10.5281/zenodo.20562461","name":"AI-Assisted Dynamic RSU Deployment Using Real Time Traffic Density Estimation in VANETs: A Comprehensive Survey","source":"datacite","abstract":"Vehicular Ad Hoc Networks (VANETs) have become a cornerstone of Intelligent Transportation Systems (ITS), enabling real-time communication among vehicles, roadside infrastructure, and transportation management entities. Roadside Units (RSUs) play a critical role in supporting Vehicle-to-Infrastructure (V2I) communications, traffic monitoring, safety applications, and information dissemination. However, conventional static RSU deployment strategies often fail to accommodate rapidly changing traffic conditions, resulting in reduced coverage efficiency, increased communication delays, and inefficient utilization of infrastructure resources. To address these limitations, recent research has focused on integrating Artificial Intelligence (AI) techniques with real-time traffic density estimation to support dynamic and adaptive RSU deployment. This survey presents a comprehensive review of AI assisted dynamic RSU deployment approaches in VANET environments. The study examines traffic density estimation methods, RSU deployment strategies, optimization algorithms, machine learning models, deep learning techniques, and emerging intelligent transportation frameworks. Furthermore, the survey categorizes existing literature according to deployment methodology, traffic prediction approach, and intelligence level while providing a comparative analysis of current solutions. Major research challenges including scalability, computational complexity, security, privacy, and infrastructure costs are discussed. Finally, future research directions involving reinforcement learning, federated learning, edge intelligence, digital twins, unmanned aerial vehicle-assisted RSUs, and 6G-enabled vehicular networks are highlighted. The survey aims to serve as a comprehensive reference for researchers and practitioners working toward the development of adaptive, intelligent, and efficient vehicular communication infrastructures.","url":"https://doi.org/10.5281/zenodo.20562461","authors":["Shashank","Dr. Sayyada F"],"tags":["Vehicular Ad Hoc Networks, Roadside Units, Dynamic RSU Deployment, Traffic Density Estimation, Artificial Intelligence, Machine Learning, Intelligent Transportation Systems, V2X Communication, Smart Mobility"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.20562461","addedAt":"2026-08-31T06:39:58.778Z","updatedAt":"2026-08-31T06:39:58.778Z"},{"id":"doi:10.5281/zenodo.20557590","name":"Digital Twin in the 6G Internet of Vehicles: A Concise Review of Channel Modelling, Learning, and Security","source":"datacite","abstract":"The Internet of Vehicles is being recast around two technologies that are reaching deployment maturity in the same window. On the cellular side, sixth-generation networks open terahertz spectrum, integrated sensing and communication, and a space-air-ground integrated fabric in which roadside units, unmanned aerial vehicles, and low-earth-orbit satellites all serve as edge servers. Digital twin networks add a continuously synchronised virtual counterpart for every vehicle, road segment, and radio environment, on which learning algorithms can operate as if it were the physical network itself. Each technology has a substantial literature on its own; the joint deployment they are now becoming raises four questions that no single paper resolves: how a radio-frequency twin is grounded in the physics of a millimetre-wave channel, how vehicle twins migrate across heterogeneous edge servers, how learning is split between vehicles and their twins without leaking data, and how the resulting pipeline is defended against active falsification. This review reads fifteen recent peer-reviewed frameworks against those questions and treats them as components of a single deployed pipeline rather than as isolated proposals. The 3D ray-tracing RF digital twin scheme of Liu et al. is given a dedicated discussion because most of the learning-oriented works reviewed here rest on a channel abstraction that, in deployment, would have to be served by some form of RF twin. Two comparison tables consolidate the readings, and five research gaps are identified: unverifiable twin fidelity, fragmented benchmark practice, opaque synchronisation cost, weak active-adversary threat models, and absent end-to-end energy accounting. Each gap is paired with an incremental, testable next step.","url":"https://doi.org/10.5281/zenodo.20557590","authors":["Rashmi Vanajakar"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.20557590","addedAt":"2026-08-31T06:39:58.778Z","updatedAt":"2026-08-31T06:39:58.778Z"},{"id":"doi:10.5281/zenodo.20557589","name":"Digital Twin in the 6G Internet of Vehicles: A Concise Review of Channel Modelling, Learning, and Security","source":"datacite","abstract":"The Internet of Vehicles is being recast around two technologies that are reaching deployment maturity in the same window. On the cellular side, sixth-generation networks open terahertz spectrum, integrated sensing and communication, and a space-air-ground integrated fabric in which roadside units, unmanned aerial vehicles, and low-earth-orbit satellites all serve as edge servers. Digital twin networks add a continuously synchronised virtual counterpart for every vehicle, road segment, and radio environment, on which learning algorithms can operate as if it were the physical network itself. Each technology has a substantial literature on its own; the joint deployment they are now becoming raises four questions that no single paper resolves: how a radio-frequency twin is grounded in the physics of a millimetre-wave channel, how vehicle twins migrate across heterogeneous edge servers, how learning is split between vehicles and their twins without leaking data, and how the resulting pipeline is defended against active falsification. This review reads fifteen recent peer-reviewed frameworks against those questions and treats them as components of a single deployed pipeline rather than as isolated proposals. The 3D ray-tracing RF digital twin scheme of Liu et al. is given a dedicated discussion because most of the learning-oriented works reviewed here rest on a channel abstraction that, in deployment, would have to be served by some form of RF twin. Two comparison tables consolidate the readings, and five research gaps are identified: unverifiable twin fidelity, fragmented benchmark practice, opaque synchronisation cost, weak active-adversary threat models, and absent end-to-end energy accounting. Each gap is paired with an incremental, testable next step.","url":"https://doi.org/10.5281/zenodo.20557589","authors":["Rashmi Vanajakar"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.20557589","addedAt":"2026-08-31T06:39:58.778Z","updatedAt":"2026-08-31T06:39:58.778Z"},{"id":"doi:10.48550/arxiv.1802.01262","name":"Development of c-means Clustering Based Adaptive Fuzzy Controller for A Flapping Wing Micro Air Vehicle","source":"datacite","abstract":"Advanced and accurate modelling of a Flapping Wing Micro Air Vehicle (FW MAV) and its control is one of the recent research topics related to the field of autonomous Unmanned Aerial Vehicles (UAVs). In this work, a four wing Natureinspired (NI) FW MAV is modeled and controlled inspiring by its advanced features like quick flight, vertical take-off and landing, hovering, and fast turn, and enhanced manoeuvrability when contrasted with comparable-sized fixed and rotary wing UAVs. The Fuzzy C-Means (FCM) clustering algorithm is utilized to demonstrate the NIFW MAV model, which has points of interest over first principle based modelling since it does not depend on the system dynamics, rather based on data and can incorporate various uncertainties like sensor error. The same clustering strategy is used to develop an adaptive fuzzy controller. The controller is then utilized to control the altitude of the NIFW MAV, that can adapt with environmental disturbances by tuning the antecedent and consequent parameters of the fuzzy system.","url":"https://doi.org/10.48550/arxiv.1802.01262","authors":["Ferdaus, Md Meftahul","Anavatti, Sreenatha G.","Garratt, Matthew A.","Pratama, Mahardhika"],"tags":["Systems and Control (eess.SY)","FOS: Electrical engineering, electronic engineering, information engineering","FOS: Electrical engineering, electronic engineering, information engineering"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2018","doi":"10.48550/arxiv.1802.01262","addedAt":"2026-08-31T06:39:58.778Z","updatedAt":"2026-08-31T06:39:58.778Z"},{"id":"doi:10.48550/arxiv.1802.00635","name":"Generic Evolving Self-Organizing Neuro-Fuzzy Control of Bio-inspired Unmanned Aerial Vehicles","source":"datacite","abstract":"At recent times, with the incremental demand of the fully autonomous system, a huge research interest is observed in learning machine based intelligent, self-organizing, and evolving controller. In this work, a new evolving and self-organizing controller namely Generic-controller, G-controller, is proposed. The G-controller that works in the fully online mode with very minor expert domain knowledge is developed by incorporating the sliding model control, SMC, theory based learning algorithm with an advanced incremental learning machine namely Generic Evolving Neuro-Fuzzy Inference System , GENEFIS. The controller starts operating from scratch with an empty set of fuzzy rules, and therefore, no offline training is required. To cope with the plant vulnerable behavior, the controller can add, or prune the rules on demand. Control law and adaptation laws for the consequents are derived from the SMC algorithm to establish a stable closed-loop system, where the stability of the G-controller is guaranteed using the Lyapunov function. The uniform asymptotic convergence of tracking error to zero is witnessed through the implication of an auxiliary robustifying control term. In addition, the implementation of the multivariate Gaussian function helps the controller to handle the non-axis parallel data from the plant and consequently enhances the robustness against the uncertainties and environmental perturbations. Finally, the controller performance has been evaluated by observing the tracking performance in controlling simulated plants of unmanned aerial vehicle namely bio-inspired flapping wing micro air vehicle BIFW MAV and hexacopter for a variety of trajectories.","url":"https://doi.org/10.48550/arxiv.1802.00635","authors":["Ferdaus, MD. Meftahul","Pratama, Mahardhika","Anavatti, Sreenatha G","Garratt, Matthew A","Pan, Yongping"],"tags":["Systems and Control (eess.SY)","FOS: Electrical engineering, electronic engineering, information engineering","FOS: Electrical engineering, electronic engineering, information engineering"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2018","doi":"10.48550/arxiv.1802.00635","addedAt":"2026-08-31T06:39:58.778Z","updatedAt":"2026-08-31T06:39:58.778Z"},{"id":"doi:10.48550/arxiv.1510.08474","name":"Control with Probabilistic Signal Temporal Logic","source":"datacite","abstract":"Autonomous agents often operate in uncertain environments where their decisions are made based on beliefs over states of targets. We are interested in controller synthesis for complex tasks defined over belief spaces. Designing such controllers is challenging due to computational complexity and the lack of expressivity of existing specification languages. In this paper, we propose a probabilistic extension to signal temporal logic (STL) that expresses tasks over continuous belief spaces. We present an efficient synthesis algorithm to find a control input that maximises the probability of satisfying a given task. We validate our algorithm through simulations of an unmanned aerial vehicle deployed for surveillance and search missions.","url":"https://doi.org/10.48550/arxiv.1510.08474","authors":["Yoo, Chanyeol","Belta, Calin"],"tags":["Systems and Control (eess.SY)","Logic in Computer Science (cs.LO)","Robotics (cs.RO)","FOS: Electrical engineering, electronic engineering, information engineering","FOS: Electrical engineering, electronic engineering, information engineering","FOS: Computer and information sciences","FOS: Computer and information sciences"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2015","doi":"10.48550/arxiv.1510.08474","addedAt":"2026-08-31T06:39:58.778Z","updatedAt":"2026-08-31T06:39:58.778Z"},{"id":"doi:10.5281/zenodo.20479786","name":"AGRI-VISION","source":"datacite","abstract":"The integration of Artificial Intelligence (AI), the Internet of Things (IoT), and satellite-based remote observation is reshaping contemporary agriculture, shifting it from an experience-driven manual discipline into a richly data-oriented field. Although standalone machine learning models targeting crop selection, disease identification, and harvest volume estimation have individually attained impressive accuracy, existing research exposes a critical fragmentation in their real-world deployment: these modules rarely communicate within a consolidated decision-support environment. This review systematically examines the architectural requirements for a unified Sense-Analyze-Act agricultural framework. It critically assesses the effectiveness of ensemble learning approaches, notably Random Forest classifiers, for matching soil nutrient profiles to suitable crops. Convolutional Neural Networks (CNNs), particularly MobileNetV2, for lightweight field-based plant disease surveillance [11], [14]; and Long Short-Term Memory (LSTM) networks for predicting temporal patterns in commodity prices and soil moisture levels . The transformative potential of Large Language Models (LLMs) combined with Retrieval-Augmented Generation (RAG) in making agronomic guidance accessible to resource-limited smallholder farmers is also thoroughly examined. This review highlights key obstacles to deployment, namely cross-domain generalization failures, algorithmic biases stemming from unrepresentative training data, and the absence of robust multimodal sensor fusion architectures. Finally, a forward-looking research agenda is proposed, emphasizing Federated Learning approaches and autonomous unmanned aerial vehicle (UAV) surveillance programs as pathways toward bridging the gap between demonstrated algorithmic promise and smallholder operational reality.","url":"https://doi.org/10.5281/zenodo.20479786","authors":["Harsh Vardhan Tripathi, Jageshwar Kumar, Nikhil Verma, Saroj Singh"],"tags":["Precision agriculture, ensemble learning, convolutional neural networks, long short-term memory networks, multimodal artificial intelligence, smart farming, remote sensing, federated learning, retrieval-augmented generation, plant disease detection."],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.20479786","addedAt":"2026-08-31T06:39:58.778Z","updatedAt":"2026-08-31T06:39:58.778Z"},{"id":"doi:10.5281/zenodo.20479787","name":"AGRI-VISION","source":"datacite","abstract":"The integration of Artificial Intelligence (AI), the Internet of Things (IoT), and satellite-based remote observation is reshaping contemporary agriculture, shifting it from an experience-driven manual discipline into a richly data-oriented field. Although standalone machine learning models targeting crop selection, disease identification, and harvest volume estimation have individually attained impressive accuracy, existing research exposes a critical fragmentation in their real-world deployment: these modules rarely communicate within a consolidated decision-support environment. This review systematically examines the architectural requirements for a unified Sense-Analyze-Act agricultural framework. It critically assesses the effectiveness of ensemble learning approaches, notably Random Forest classifiers, for matching soil nutrient profiles to suitable crops. Convolutional Neural Networks (CNNs), particularly MobileNetV2, for lightweight field-based plant disease surveillance [11], [14]; and Long Short-Term Memory (LSTM) networks for predicting temporal patterns in commodity prices and soil moisture levels . The transformative potential of Large Language Models (LLMs) combined with Retrieval-Augmented Generation (RAG) in making agronomic guidance accessible to resource-limited smallholder farmers is also thoroughly examined. This review highlights key obstacles to deployment, namely cross-domain generalization failures, algorithmic biases stemming from unrepresentative training data, and the absence of robust multimodal sensor fusion architectures. Finally, a forward-looking research agenda is proposed, emphasizing Federated Learning approaches and autonomous unmanned aerial vehicle (UAV) surveillance programs as pathways toward bridging the gap between demonstrated algorithmic promise and smallholder operational reality.","url":"https://doi.org/10.5281/zenodo.20479787","authors":["Harsh Vardhan Tripathi, Jageshwar Kumar, Nikhil Verma, Saroj Singh"],"tags":["Precision agriculture, ensemble learning, convolutional neural networks, long short-term memory networks, multimodal artificial intelligence, smart farming, remote sensing, federated learning, retrieval-augmented generation, plant disease detection."],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.20479787","addedAt":"2026-08-31T06:39:58.778Z","updatedAt":"2026-08-31T06:39:58.778Z"},{"id":"doi:10.5281/zenodo.20443525","name":"A THEORETICAL DESIGN OF A COMBINED AIR AND GROUND UNMANNED VEHICLE FOR SEARCH AND FOLLOW A DISASTER","source":"datacite","abstract":"The combination between unmanned ground vehicle and unmanned Ariel vehicle has become a matter of discussion lately in the field of robotics. This paper proposes a theoretical design of an unmanned vehicle with dimensions of (370 X 367 X 318 mm) which can fly as aerial vehicle and move on the ground, so it is considered unmanned ground vehicle as well. Subsequently, hybrid design is appropriate for following disaster robot because of the harsh environment. This investigation comprises literature review on some previous works in this regards along with the conception of the vehicle is argued in details with 3 D drawings. Furthermore, some calculations of the drag, lift forces and power consumption are performed. Finally, MATLAB plots are extracted to give an indication of the displacement response of the automobile in both X-Y axes.","url":"https://doi.org/10.5281/zenodo.20443525","authors":["'ATIFAH HANIM BINTI ROSLI"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.20443525","addedAt":"2026-08-31T06:39:58.778Z","updatedAt":"2026-08-31T06:39:58.778Z"},{"id":"doi:10.5281/zenodo.20443526","name":"A THEORETICAL DESIGN OF A COMBINED AIR AND GROUND UNMANNED VEHICLE FOR SEARCH AND FOLLOW A DISASTER","source":"datacite","abstract":"The combination between unmanned ground vehicle and unmanned Ariel vehicle has become a matter of discussion lately in the field of robotics. This paper proposes a theoretical design of an unmanned vehicle with dimensions of (370 X 367 X 318 mm) which can fly as aerial vehicle and move on the ground, so it is considered unmanned ground vehicle as well. Subsequently, hybrid design is appropriate for following disaster robot because of the harsh environment. This investigation comprises literature review on some previous works in this regards along with the conception of the vehicle is argued in details with 3 D drawings. Furthermore, some calculations of the drag, lift forces and power consumption are performed. Finally, MATLAB plots are extracted to give an indication of the displacement response of the automobile in both X-Y axes.","url":"https://doi.org/10.5281/zenodo.20443526","authors":["'ATIFAH HANIM BINTI ROSLI"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.20443526","addedAt":"2026-08-31T06:39:58.778Z","updatedAt":"2026-08-31T06:39:58.778Z"},{"id":"doi:10.25560/109517","name":"Trajectory modelling and execution for multi-Unmanned Aerial Vehicle applications","source":"datacite","abstract":"Unmanned aerial vehicle applications require trajectory information for planning and tactical operations. Initialised by positioning, navigation, timing technologies such as global navigation satellite systems, trajectory prediction models are used to determine future states or trajectories. Currently, research on unmanned aerial vehicle trajectory prediction is limited focusing on a subset of applications, without a universally agreed set of key performance indicators against which all the elements of unmanned aerial vehicle operations are evaluated. Another limitation is that current trajectory prediction models do not support all known location-based unmanned aerial vehicle applications and all aspects of their operations. To address these limitations, this thesis develops a new generic trajectory prediction model applicable to all known applications and operations. Firstly, all location-based unmanned aerial vehicle applications and current regulations/specifications are reviewed and consolidated in exhaustive lists to reflect their relationships. This is followed by definition and specification of the key performance indicators, on the basis of which the architecture required for unmanned aerial vehicle operational functionality is specified. To underpin this functional architecture, state-of-the-art systems are reviewed and used to specify an end-to-end physical architecture to support operations. The thesis then focuses on the aspects of this architecture that require trajectory prediction, firstly by using the performance metrics derived from operational- and system-level requirements for each operational element, to define and specify the performance indicators for trajectory prediction. The indicators are then used to develop the functional architecture for trajectory prediction and its underpinning models, suitable for all applications. Currently, there is a wide variety of trajectory prediction models that support a subset of applications. Regardless of the differences between these models, trajectory prediction accuracy is the fundamental performance measure and is the focus of this thesis. Following a review of the literature, this thesis specifies mathematical methods for trajectory prediction error budgeting and develops a more accurate trajectory prediction model than the state-of-the-art, informed by new model-driven methods and physics-based models for error mitigation. Compared with the state-of-the-art in trajectory-location-routing models which suffer from the limitation of weak performance modelling, the developed trajectory prediction model incorporates novel generic unmanned aerial vehicle performance and wind models to increase trajectory prediction accuracy in real-world environments. The new trajectory prediction model proposed in this thesis is validated by three case studies in relation to the most stringent location-based applications. The validation process is implemented and performance in terms of accuracy is quantified. The results show that the new trajectory prediction model meets the accuracy requirements (i.e., 5m) of the most stringent applications (i.e., humanitarian delivery logistics, urban passenger transport), and achieves a higher accuracy than the current models. In the new model proposed in this thesis, trajectory prediction accuracy is improved by at least 1.55m compared with other state-of-the-art models. This improvement benefits all stakeholders. Firstly, it advances knowledge in consolidating and enhancing unmanned aerial vehicle trajectory management literature facilitating further research in relevant aspects of unmanned aerial vehicle development and applications, and trajectory-based operations. Secondly, it enables regulators to specify the necessary operational framework underpinned by credible safety assessment. Finally, it enables operators and service providers in strategic, pre-tactical and tactical operations of all trajectory-based operations to enhance operation","url":"https://doi.org/10.25560/109517","authors":["Huang, Mingyang"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2022","doi":"10.25560/109517","addedAt":"2026-08-31T06:39:58.778Z","updatedAt":"2026-08-31T06:39:58.778Z"},{"id":"doi:10.5281/zenodo.20201556","name":"Advancements in Hyperspectral Imaging for Precision Agriculture Beyond Classification and Early Stress Detection","source":"datacite","abstract":"Hyperspectral Imaging (HSI) has transformed modern agriculture by providing high-resolution spectral insights across diverse crop and environmental conditions. While extensive research has focused on plant species classification and early stress or disease detection, a wide array of equally critical applications remains underexplored. This paper presents a focused review of advanced HSI applications beyond these commonly studied domains, emphasizing yield estimation, soil property assessment, weed detection, and real-time decision support through edge computing and embedded systems. We explore the integration of HSI with machine learning (ML) and deep learning (DL) frameworks for biomass estimation, nutrient analysis, and dynamic weed mapping, alongside developments in Unmanned Aerial Vehicle (UAV) deployment and geospatial data fusion. By shedding light on these emerging frontiers, this paper identifies key technological gaps and proposes research directions toward building intelligent, field-deployable, and farmer-centric agricultural ecosystems.","url":"https://doi.org/10.5281/zenodo.20201556","authors":["Ch.Vimala","P. Bhargavi"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.20201556","addedAt":"2026-08-31T06:39:58.778Z","updatedAt":"2026-08-31T06:39:58.778Z"},{"id":"doi:10.5281/zenodo.20201557","name":"Advancements in Hyperspectral Imaging for Precision Agriculture Beyond Classification and Early Stress Detection","source":"datacite","abstract":"Hyperspectral Imaging (HSI) has transformed modern agriculture by providing high-resolution spectral insights across diverse crop and environmental conditions. While extensive research has focused on plant species classification and early stress or disease detection, a wide array of equally critical applications remains underexplored. This paper presents a focused review of advanced HSI applications beyond these commonly studied domains, emphasizing yield estimation, soil property assessment, weed detection, and real-time decision support through edge computing and embedded systems. We explore the integration of HSI with machine learning (ML) and deep learning (DL) frameworks for biomass estimation, nutrient analysis, and dynamic weed mapping, alongside developments in Unmanned Aerial Vehicle (UAV) deployment and geospatial data fusion. By shedding light on these emerging frontiers, this paper identifies key technological gaps and proposes research directions toward building intelligent, field-deployable, and farmer-centric agricultural ecosystems.","url":"https://doi.org/10.5281/zenodo.20201557","authors":["Ch.Vimala","P. Bhargavi"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.20201557","addedAt":"2026-08-31T06:39:58.778Z","updatedAt":"2026-08-31T06:39:58.778Z"},{"id":"doi:10.26180/32297763.v1","name":"X-01D TVC BWB System Modelling Reference","source":"datacite","abstract":"This technical report provides the complete system modelling reference for the X-01D, a conceptual 237 kg, 6.4 m span blended-wing-body (BWB) unmanned aerial vehicle developed as the common research platform for a series of fault-tolerant control (FTC) papers submitted from the School of Engineering, Monash University Malaysia. The X-01D is derived from the NASA X-48B aerodynamic configuration, with the conventional aerodynamic surfaces and empennage replaced by two overhead-mounted JetCat P200-RX turbojet engines equipped with four-actuator ball-joint thrust-vectoring nozzles. The vehicle has no rudder, no ailerons, no elevons, and no vertical tail. All lateral-directional moment generation is provided exclusively by the four effective thrust vector control (TVC) channels produced by the two gimballed nozzles.The report documents the full derivation of the nonlinear lateral-directional plant model in State-Dependent Coefficient (SDC) form, including the Gamma-formulation for exact I xz inertia cross-coupling arising from the overhead engine installation. Aerodynamic coefficients are modelled as piecewise polynomial functions of angle of attack, fitted to the NASA X-48B wind tunnel and flight test dataset. The dominant aerodynamic nonlinearity is the sign reversal of the yaw stability derivative Cnbeta at approximately 17 degrees angle of attack, which transforms the open-loop plant from directionally stable to directionally unstable in the high-demand flight regime. This nonlinearity is retained in full in the SDC plant matrix and is the primary motivation for the angle-of-attack-scheduled control designs documented in the companion papers.The TVC geometry is derived from first principles using the measured moment arms of the JetCat P200-RX installation: longitudinal moment arm X TV = -1.81 m and lateral offset Y TV = +/-0.64 m. The yaw moment authority at maximum deflection is 297.1 Nm and the roll moment authority is 105.1 Nm. A TVC mechanism selection analysis comparing two-axis gimballed nozzles, jet vanes, fluidic secondary injection, and dual-throat nozzles is included, with the gimballed nozzle selected on the basis of bandwidth, maximum deflection, thrust loss, and retrofit feasibility criteria.Vehicle parameters including the full inertia tensor (I xx = 548.58 kgm², I zz = 613.54 kgm², I xz = 38.40 kgm²) are derived from the NASA X-48B parameter estimation database. Model validation is provided through eigenvalue locus analysis across the full angle-of-attack and altitude operating envelope, a nonlinear free-response simulation from an initial sideslip perturbation of 5 degrees with no TVC actuation, and a 100-run Monte Carlo robustness study applying independent +/-15% uniform random perturbations to all seven aerodynamic stability derivatives simultaneously. All 100 Monte Carlo runs produced stable configurations, with the worst-case Dutch Roll real part at -0.132 per second against a nominal value of -0.164 per second.The environmental disturbance model covers three sources: an International Standard Atmosphere (ISO 2533) density model across the 0 to 3000 m service envelope, a steady crosswind model derived from direction cosine matrix transformation, and a Dryden stochastic turbulence model implemented as a second-order state-space filter per MIL-F-8785C and MIL-HDBK-1797B. The lateral and vertical turbulence channels each contribute two filter states to the simulation.The structured fault model defines a six-type taxonomy covering degradation, saturation, stuck-at, complete failure, transport delay, and random erratic faults, formalised through a fault effectiveness matrix F = diag(f 1 , f 2 , f 3 , f 4 ) acting on the four TVC channels. Seven simulation scenarios spanning single, dual, mixed, and worst-case fault conditions are catalogued. A fault severity corridor is derived analytically, defining the controllable operating envelope as a joint function of fault effectiveness, turbulence intensity, and service","url":"https://doi.org/10.26180/32297763.v1","authors":["Fernando, Widanalage","Chee Pin, Tan","Wong, Lily"],"tags":["Aerospace engineering not elsewhere classified","Aircraft performance and flight control systems","Flight dynamics"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.26180/32297763.v1","addedAt":"2026-08-31T06:39:58.778Z","updatedAt":"2026-08-31T06:39:58.778Z"},{"id":"doi:10.26180/32297763","name":"X-01D TVC BWB System Modelling Reference","source":"datacite","abstract":"This technical report provides the complete system modelling reference for the X-01D, a conceptual 237 kg, 6.4 m span blended-wing-body (BWB) unmanned aerial vehicle developed as the common research platform for a series of fault-tolerant control (FTC) papers submitted from the School of Engineering, Monash University Malaysia. The X-01D is derived from the NASA X-48B aerodynamic configuration, with the conventional aerodynamic surfaces and empennage replaced by two overhead-mounted JetCat P200-RX turbojet engines equipped with four-actuator ball-joint thrust-vectoring nozzles. The vehicle has no rudder, no ailerons, no elevons, and no vertical tail. All lateral-directional moment generation is provided exclusively by the four effective thrust vector control (TVC) channels produced by the two gimballed nozzles.The report documents the full derivation of the nonlinear lateral-directional plant model in State-Dependent Coefficient (SDC) form, including the Gamma-formulation for exact I xz inertia cross-coupling arising from the overhead engine installation. Aerodynamic coefficients are modelled as piecewise polynomial functions of angle of attack, fitted to the NASA X-48B wind tunnel and flight test dataset. The dominant aerodynamic nonlinearity is the sign reversal of the yaw stability derivative Cnbeta at approximately 17 degrees angle of attack, which transforms the open-loop plant from directionally stable to directionally unstable in the high-demand flight regime. This nonlinearity is retained in full in the SDC plant matrix and is the primary motivation for the angle-of-attack-scheduled control designs documented in the companion papers.The TVC geometry is derived from first principles using the measured moment arms of the JetCat P200-RX installation: longitudinal moment arm X TV = -1.81 m and lateral offset Y TV = +/-0.64 m. The yaw moment authority at maximum deflection is 297.1 Nm and the roll moment authority is 105.1 Nm. A TVC mechanism selection analysis comparing two-axis gimballed nozzles, jet vanes, fluidic secondary injection, and dual-throat nozzles is included, with the gimballed nozzle selected on the basis of bandwidth, maximum deflection, thrust loss, and retrofit feasibility criteria.Vehicle parameters including the full inertia tensor (I xx = 548.58 kgm², I zz = 613.54 kgm², I xz = 38.40 kgm²) are derived from the NASA X-48B parameter estimation database. Model validation is provided through eigenvalue locus analysis across the full angle-of-attack and altitude operating envelope, a nonlinear free-response simulation from an initial sideslip perturbation of 5 degrees with no TVC actuation, and a 100-run Monte Carlo robustness study applying independent +/-15% uniform random perturbations to all seven aerodynamic stability derivatives simultaneously. All 100 Monte Carlo runs produced stable configurations, with the worst-case Dutch Roll real part at -0.132 per second against a nominal value of -0.164 per second.The environmental disturbance model covers three sources: an International Standard Atmosphere (ISO 2533) density model across the 0 to 3000 m service envelope, a steady crosswind model derived from direction cosine matrix transformation, and a Dryden stochastic turbulence model implemented as a second-order state-space filter per MIL-F-8785C and MIL-HDBK-1797B. The lateral and vertical turbulence channels each contribute two filter states to the simulation.The structured fault model defines a six-type taxonomy covering degradation, saturation, stuck-at, complete failure, transport delay, and random erratic faults, formalised through a fault effectiveness matrix F = diag(f 1 , f 2 , f 3 , f 4 ) acting on the four TVC channels. Seven simulation scenarios spanning single, dual, mixed, and worst-case fault conditions are catalogued. A fault severity corridor is derived analytically, defining the controllable operating envelope as a joint function of fault effectiveness, turbulence intensity, and service","url":"https://doi.org/10.26180/32297763","authors":["Fernando, Widanalage","Chee Pin, Tan","Wong, Lily"],"tags":["Aerospace engineering not elsewhere classified","Aircraft performance and flight control systems","Flight dynamics"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.26180/32297763","addedAt":"2026-08-31T06:39:58.778Z","updatedAt":"2026-08-31T06:39:58.778Z"},{"id":"doi:10.5281/zenodo.20056354","name":"Multi-Platform Forest Fire Detection Using Deep Learning and IoT: A Review","source":"datacite","abstract":"Forest fires have severe impacts on ecosystems and property, but current detection methods continue to suffer from detection latency, coverage and environmental limitations. In this paper, we review the state of the art in integrated forest fire detection systems that leverage deep learning, Internet of Things (IoT) sensor networks, unmanned aerial vehicle (UAV) monitoring, and satellite remote sensing. Over two dozen recent works are reviewed to discuss object detection algorithms, hybrid deep learning models, sensor fusion techniques, satellite remote sensing, and land use/land cover (LULC) change analyses for predictive fire risk mapping. Key research challenges are identified in the areas of integration, data, environmental adaptability, efficiency, and the use of contextual information. Popular benchmark datasets, performance metrics and system characteristics are also presented. Based on this review, a visionary research proposal is provided detailing the design and approach for developing a holistic multi-platform detection system to achieve detection within 5 minutes with an accuracy of more than 95% and false alarm rate of less than 5% in different ecosystems.","url":"https://doi.org/10.5281/zenodo.20056354","authors":["Vinay Kumar","et. al"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.20056354","addedAt":"2026-08-31T06:39:58.778Z","updatedAt":"2026-08-31T06:39:58.778Z"},{"id":"doi:10.5281/zenodo.20056355","name":"Multi-Platform Forest Fire Detection Using Deep Learning and IoT: A Review","source":"datacite","abstract":"Forest fires have severe impacts on ecosystems and property, but current detection methods continue to suffer from detection latency, coverage and environmental limitations. In this paper, we review the state of the art in integrated forest fire detection systems that leverage deep learning, Internet of Things (IoT) sensor networks, unmanned aerial vehicle (UAV) monitoring, and satellite remote sensing. Over two dozen recent works are reviewed to discuss object detection algorithms, hybrid deep learning models, sensor fusion techniques, satellite remote sensing, and land use/land cover (LULC) change analyses for predictive fire risk mapping. Key research challenges are identified in the areas of integration, data, environmental adaptability, efficiency, and the use of contextual information. Popular benchmark datasets, performance metrics and system characteristics are also presented. Based on this review, a visionary research proposal is provided detailing the design and approach for developing a holistic multi-platform detection system to achieve detection within 5 minutes with an accuracy of more than 95% and false alarm rate of less than 5% in different ecosystems.","url":"https://doi.org/10.5281/zenodo.20056355","authors":["Vinay Kumar","et. al"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.20056355","addedAt":"2026-08-31T06:39:58.778Z","updatedAt":"2026-08-31T06:39:58.778Z"},{"id":"doi:10.48550/arxiv.2504.05679","name":"Event-based Civil Infrastructure Visual Defect Detection: ev-CIVIL Dataset and Benchmark","source":"datacite","abstract":"Small unmanned aerial vehicle (UAV)-based visual inspections are a more efficient alternative to manual methods for examining civil structural defects, offering safe access to hazardous areas and significant cost savings by reducing labor requirements. However, traditional frame-based cameras, widely used in UAV-based inspections, often struggle to capture defects under low or dynamic lighting conditions. In contrast, dynamic vision sensors (DVS), or event-based cameras, excel in such scenarios by minimizing motion blur, enhancing power efficiency, and maintaining high-quality imaging across diverse lighting conditions without saturation or information loss. Despite these advantages, existing research lacks studies exploring the feasibility of using DVS for detecting civil structural defects. Moreover, there is no dedicated event-based dataset tailored for this purpose. Addressing this gap, this study introduces the first event-based civil infrastructure defect detection dataset, capturing defective surfaces as a spatio-temporal event stream using DVS. In addition to event-based data, the dataset includes grayscale intensity image frames captured simultaneously using an active pixel sensor (APS). Both data types were collected using the DAVIS346 camera, which integrates DVS and APS sensors. The dataset focuses on two types of defects: cracks and spalling, and includes data from both field and laboratory environments. The field dataset comprises 318 recording sequences, documenting 458 distinct cracks and 121 distinct spalling instances. The laboratory dataset includes 362 recording sequences, covering 220 distinct cracks and 308 spalling instances. We evaluated the dataset using four real-time object detection models.The results demonstrate the applicability of DVS cameras for robust detection of civil infrastructure defects under challenging lighting conditions.","url":"https://doi.org/10.48550/arxiv.2504.05679","authors":["Gamage, Udayanga G. W. K. N.","Huo, Xuanni","Zanatta, Luca","Delbruck, T","Cadena, Cesar","Fumagalli, Matteo","Tolu, Silvia"],"tags":["Computer Vision and Pattern Recognition (cs.CV)","FOS: Computer and information sciences","FOS: Computer and information sciences"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.48550/arxiv.2504.05679","addedAt":"2026-08-31T06:39:58.778Z","updatedAt":"2026-08-31T06:39:58.778Z"},{"id":"doi:10.7939/83367","name":"Interactions between organisms, sediment, and microbial communities in coastal environments","source":"datacite","abstract":"Interactions between benthic and infaunal organisms, sediment, and microbial communities have shaped marine environments throughout Earth’s history. Bioturbation is the disturbance and reworking of sediment by living organisms. The field of ichnology studies these processes through trace fossils and their modern analogues, revealing how environmental factors like salinity, oxygenation, sedimentation rates, and substrate consistency influence the distribution and behaviour of infaunal and benthic organisms. Conversely, these organisms also often act as ecosystem engineers, modifying the physicochemical properties of their habitats through their activities, driving ecological and evolutionary innovation. The central theme of this thesis is the intersection between microbial mats, sediments, and bioturbating organisms. Microbial mats were among the earliest life forms, blanketing Precambrian shallow marine environments and driving the oxygenation of Earth’s atmosphere. Subsequently, the agronomic revolution marked the advent of penetrative bioturbation and the debut of the mixed layer, fundamentally altering marine substrates, facilitating new ecological niches, and leading to biogeochemical consequences. In this thesis, these themes are explored through distinct facets of these interaction through time. In Chapter 2, a new ichnogenus, Aratichnus, is described. Aratichnus is a horizontal, epichnial furrow ranging from simple straight to curved grooves to more complex serial furrows. It is documented in the lower Eocene-aged tidally reworked sandstone, the Baronia Formation, in Spain. This ichnogenus is interpreted as an interface deposit feeding exploiting the patchy food resources of an ancient intertidal environment. Chapter 3 is a comprehensive review of biostabilization in shallow marine siliciclastic environments. In this chapter, experiments aiming to quantify this effect are compiled and compared with the Shields’ diagram, measured and modelled values of shear stress in shallow marine environments, and occurrences of microbially induced sedimentary structures in marine environments in the rock record. The results show that this effect is considerably variable, ranging from 0.1 orders of magnitude beyond the Sheilds’ curve, to 4. This chapter demonstrated the complexity of biostabilization. Chapter 4 investigates the interactions between microbial mats and thalassinid shrimp on the tidal flats of northern Willapa Bay, Washington, USA, integrating geochemistry and spatial analysis. A high-resolution orthophotomosaic of the study area is generated from a 3D model constructed using aerial imagery captured by an unmanned aerial vehicle (UAV), enabling precise mapping of microbial mat distribution and shrimp burrow openings. A transect of four sites is established, spanning a continuum from fully bioturbated substrates to undisturbed, mat-covered sediments, with two intermediate zones exhibiting mixed biogenic and microbial signatures. At each site, sedimentological and ichnological characteristics are documented in situ, while porewater samples are collected using Rhizon samplers. The geochemical composition of these porewater samples is analyzed via inductively coupled plasma mass spectrometry (ICP-MS), providing insights into elemental composition. DNA sequencing of microbial mat samples identifies key taxa and metabolic pathways, linking community structure to environmental parameters. Spatial statistics reveal non-random distributions of shrimp burrows relative to mat boundaries, suggesting selective colonization behaviors. Results indicate that shrimp preferentially occupy transitional zones adjacent to microbial mats, a pattern interpreted as a trade-off between accessing mat-derived organic matter (enhancing food availability), exploiting biostabilized sediment (reducing burrow collapse), and avoiding mat-associated chemical stressors. These findings demonstrate the interplay between ecosystem engineering by thalassinid ","url":"https://doi.org/10.7939/83367","authors":["Harris, Brette Shereena Shaw"],"tags":["ichnology","sedimentology","neoichnology","spatial statistics","intertidal"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.7939/83367","addedAt":"2026-08-31T06:39:58.778Z","updatedAt":"2026-08-31T06:39:58.778Z"},{"id":"doi:10.26258/heal.hua.7594","name":"Σύστημα Διαχείρισης Χώρου Στάθμευσης Xρησιμοποιώντας Eπικοινωνία V2U","source":"datacite","abstract":"Η παρούσα πτυχιακή εργασία προτείνει ένα ολοκληρωμένο σύστημα έξυπνης διαχείρισης χώρου στάθμευσης που συνδυάζει μη επανδρωμένα εναέρια οχήματα (UAV) για δυναμική επίβλεψη με επικοινωνία Vehicle-to-User (V2U) προκειμένου να παρέχει στους οδηγούς άμεση, εξατομικευμένη ενημέρωση για διαθέσιμες θέσεις . Το πρόβλημα που αντιμετωπίζει είναι ο αυξημένος χρόνος αναζήτησης στάθμευσης στις σύγχρονες πόλεις, έως και 30 % του χρόνου οδήγησης, ο οποίος επιβαρύνει την κυκλοφορία και το περιβάλλον . Για τη διερεύνηση της αποτελεσματικότητας της προτεινόμενης λύσης βασίστηκε στους εξής πυλώνες: (α) εκτενής βιβλιογραφική ανασκόπηση των τεχνολογιών V2X/V2U και των εφαρμογών UAV, (β) σχεδιασμός αρχιτεκτονικής που ενσωματώνει UAV, κεντρικό εξυπηρετητή και διεπαφή οδηγού, (γ) υλοποίηση τριών σεναρίων προσομοίωσης (χαμηλή, μέτρια, υψηλή ζήτηση) στο SUMO simulator με έλεγχο μέσω TraCI API και (δ) αξιολόγηση με προκαθορισμένες μετρικές, όπως μέσος χρόνος εντοπισμού θέσης, ποσοστό επιτυχούς καθοδήγησης, καθυστέρηση ενημέρωσης και λόγος χρήσης θέσεων. Τα αποτελέσματα δείχνουν ότι στο Σενάριο Α (χαμηλή ζήτηση) όλα τα οχήματα λαμβάνουν θέση κατευθείαν, επιτυγχάνοντας πλήρη καθοδήγηση χωρίς καθυστερήσεις. Στο Σενάριο Β (μέτρια ζήτηση) η αύξηση των αναθέσεων είναι γραμμική και σταθερή, με το UAV να εξυπηρετεί άμεσα κάθε νέο αίτημα. Παρά τον διπλάσιο φόρτο στο Σεναρίου Γ, ο συνολικός χρόνος ολοκλήρωσης αυξάνεται ελάχιστα, αποδεικνύοντας τη γραμμική επεκτασιμότητα της προσέγγισης. Παράλληλα, η απεικόνιση του Heat-map χρήσης θέσεων καταγράφει ομοιόμορφη κατανομή ακόμη και σε υψηλή ζήτηση, υποδηλώνοντας αποτελεσματικό τον αλγόριθμο ανάθεσης και αποφυγή συμφόρησης. Συνολικά, το σύστημα πέτυχε ποσοστό επιτυχούς καθοδήγησης &gt; 95 % και μέσο ποσοστό πληρότητας &gt; 90 % σε όλα τα σενάρια, με καθυστέρηση ενημέρωσης που παρέμεινε εντός προκαθορισμένων ορίων. Τα ευρήματα επιβεβαιώνουν ότι ο συνδυασμός UAV + V2U μπορεί να μειώσει δραστικά τον χρόνο και το πρόβλημα εύρεσης θέσης στάθμευσης, διατηρώντας την απόδοση σε αυξημένη ζήτηση. Μελλοντική έρευνα προτείνεται προς υλοποίηση σε πραγματικό περιβάλλον με αισθητήρες θέσης και δυναμική ανάθεση, ώστε να εξακριβωθεί η αξιοπιστία υπό μη ιδανικές συνθήκες και να βελτιστοποιηθεί περαιτέρω η ακρίβεια του συστήματος.","url":"https://doi.org/10.26258/heal.hua.7594","authors":["Μαυροδήμος, Ιωάννης","Mavrodimos, Ioannis"],"tags":["Ηλεκτρονικοί υπολογιστές. Επιστήμη των υπολογιστών","Computer science","Τεχνολογικές καινοτομίες - Ελλάδα","Technological innovations - Greece","Μη Επανδρωμένα Αεροχήματα","Προσομοίωση","επικοινωνία οχήματος και ανθρώπου","διαχείριση θέσεων στάθμευσης"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.26258/heal.hua.7594","addedAt":"2026-08-31T06:39:58.778Z","updatedAt":"2026-08-31T06:39:58.778Z"},{"id":"doi:10.26258/heal.hua.7675","name":"Σχεδιασμός και ανάπτυξη αλγορίθμων διαχείρισης μη επανδρωμένων εναέριων οχημάτων","source":"datacite","abstract":"Η παρούσα εργασία αποτελεί μια ανάλυση των αλγορίθμων που αφορούν επικοινωνίες V2V, οχήματος δηλαδή με όχημα , εστιάζοντας στα συστήματα και τις τεχνικές επικοινωνίας.Καθώς τα Μη Επανδρωμένα Αεροσκάφη (UAV) διαδραματίζουν ολοένα και πιο κρίσιμο ρόλο σε διάφορες ανθρώπινες δραστηριότητες όπως η γεωργία, η διαχείριση καταστροφών και η επιτήρηση, η βελτιστοποίηση των τεχνολογιών επικοινωνίας τους είναι απαραίτητη για την αύξηση της αποτελεσματικότητάς τους. Η παρούσα εργασία κάνει μια απόπειρα να διερευνήσει βασικές τεχνικές επικοινωνίας μεταξύ των UAV, όπως το IEEE 802.11 και το LoRa, καθώς και νέα πρότυπα. Επιπλέον, εξετάζει υβριδικά συστήματα επικοινωνίας που ενσωματώνουν πολλαπλές τεχνολογίες για τη βελτίωση της απόδοσης και την άρση των περιορισμών των επιμέρους λύσεων. Ένα σημαντικό κομμάτι της παρούσας αποτελεί η συγκριτική αξιολόγηση αλγορίθμων επικοινωνίας μεταξύ οχημάτων (V2V), οι οποίοι είναι ζωτικής σημασίας για τον συντονισμό σε πραγματικό χρόνο και την δυνατότητα κλιμάκωσης, απο πλευράς μεγέθους, των δικτύων που αποτελούνται από UAV. Αναφέρονται ορισμένες προκλήσεις ασφάλειας που σχετίζονται με τα δίκτυα των UAV, συμπεριλαμβανομένων των ευπαθειών σε παθητικές και ενεργητικές επιθέσεις, ενώ προτείνονται στρατηγικές για την μείωση αυτών. Η σχεδίαση και η βελτιστοποίηση πρωτοκόλλων εξετάζονται με τελικό γνώμονα την επίτευξη της μέγιστης απόδοσης, της αξιοπιστίας και της κλιμάκωσης στις επικοινωνίες μεταξύ των UAV. Η έρευνα βασίζεται σε εκτενή ανασκόπηση της βιβλιογραφίας και θεωρητική ανάλυση, με συμπεράσματα που προκύπτουν από δοκιμές. Παρέχονται επίσης αποτελέσματα προσομοιώσεων σε κατάλληλα εργαλεία και κατάλληλος σχολιασμός αυτών. Ρεαλιστικές μελέτες περίπτωσης (case studies) καταδεικνύουν την πραγματική δυναμική των βελτιστοποιημένων συστημάτων επικοινωνίας, τόσο σε καθημερινούς τομείς, όπως η γεωργία, όσο και σε έκτακτα σενάρια, όπως φυσικές καταστροφές ή ανάγκη για επιτήρηση (π.χ στα πλαίσια αποτροπής της λαθρομετανάστευσης ή της Αναζήτησης &amp; Διάσωσης). Η μελέτη τελειώνει με μια διερεύνηση επί των μελλοντικών τάσεων, όπως ο ρόλος της τεχνητής νοημοσύνης και των τεχνολογιών επόμενης γενιάς. Το τελικό αποτέλεσμα είναι η παραγωγή ενός σύντομου οδηγού που περιέχει πολύτιμες πληροφορίες για την ανάπτυξη των τεχνολογιών που αφορούν την επικοινωνία μεταξύ των UAV.","url":"https://doi.org/10.26258/heal.hua.7675","authors":["Τάχος, Αθανάσιος","Tachos, Athanasios"],"tags":["Ηλεκτρονικοί υπολογιστές. Επιστήμη των υπολογιστών","Computer science","Αλγόριθμοι - Επεξεργασία δεδομένων","Algorithms - Data process","μη επανδρωμένα αεροχήματα","ν2ν επικοινωνίες","Unmanned aerial vehicles - UAV","v2v communications"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.26258/heal.hua.7675","addedAt":"2026-08-31T06:39:58.778Z","updatedAt":"2026-08-31T06:39:58.778Z"},{"id":"doi:10.17023/hwyn-a834","name":"Deep Reinforcement Learning for UAV Wireless Charging and Trajectory Planning: A Review","source":"datacite","abstract":"This video presents a review of how deep reinforcement learning (DRL) can be used to optimize unmanned aerial vehicle (UAV) operations, specifically focusing on dynamic wireless charging (DWC) and trajectory planning.","url":"https://doi.org/10.17023/hwyn-a834","authors":["Palwasha W. Shaikh","Hussein T. Mouftah"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.17023/hwyn-a834","addedAt":"2026-08-31T06:39:58.778Z","updatedAt":"2026-08-31T06:39:58.778Z"},{"id":"doi:10.17023/e3jy-c811","name":"Deep Reinforcement Learning for UAV Wireless Charging and Trajectory Planning: A Review","source":"datacite","abstract":"This video presents a review of how deep reinforcement learning (DRL) can be used to optimize unmanned aerial vehicle (UAV) operations, specifically focusing on dynamic wireless charging (DWC) and trajectory planning.","url":"https://doi.org/10.17023/e3jy-c811","authors":["Palwasha W. Shaikh","Hussein T. Mouftah"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.17023/e3jy-c811","addedAt":"2026-08-31T06:39:58.778Z","updatedAt":"2026-08-31T06:39:58.778Z"},{"id":"doi:10.48550/arxiv.2604.25316","name":"Towards Robust Deep Learning-based Rumex Obtusifolius Detection from Drone Images","source":"datacite","abstract":"Domain adaptation (DA) addresses the challenge of transferring a machine learning model trained on a source domain to a target domain with a different data distribution. In this work, we study DA for the task of Rumex obtusifolius (Rumex) image classification. We train models on a published, ground vehicle-based dataset (source) and evaluate their performance on a custom target dataset acquired by unmanned aerial vehicles (UAVs). We find that Convolutional Neural Network (CNN) models, specifically ResNets, generalize poorly to the target domain, even after fine-tuning on the source data. Applying moment-matching and maximum classifier discrepancy, two established DA techniques, substantially improves target-domain performance. However, Vision Transformer (ViT) models pretrained with self-supervised objectives (DINOv2, DINOv3) handle domain shifts intrinsically well, surpassing even moment-matching-trained ResNets, likely due to the rich, general-purpose representations acquired during large-scale pretraining. Using ViTs fine-tuned on the source dataset, we demonstrate high classification performances in the range of F1=0.8 on our target dataset. To support further research on DA for weed detection in grassland systems, we publicly release our UAV-based target dataset AGSMultiRumex, comprising data from 15 flights over Swiss meadows.","url":"https://doi.org/10.48550/arxiv.2604.25316","authors":["Schrag, Fabian Dionys","Turkoglu, Mehmet Ozgur","Schindler, Konrad","Stoop, Ralph Lukas"],"tags":["Computer Vision and Pattern Recognition (cs.CV)","FOS: Computer and information sciences","FOS: Computer and information sciences"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.48550/arxiv.2604.25316","addedAt":"2026-08-31T06:39:58.778Z","updatedAt":"2026-08-31T06:39:58.778Z"},{"id":"doi:10.24412/cl-35750-2026-1-72-76","name":"НОВЫЕ МЕТОДЫ ОСМОТРА И МОНИТОРИНГА ТЕХНИЧЕСКОГО СОСТОЯНИЯ ПОДВОДНОЙ ЧАСТИ КОРПУСОВ СУДОВ","source":"datacite","abstract":"В статье проводится обзор существующих методов осмотра подводной части корпусов судов. Предлагаются два новых решения для выполнения задач осмотра и мониторинга технического состояния металлической обшивки подводной части корпуса судна: использование гибридного беспилотного летательного аппарата (БПЛА), способного к воздушному перемещению, погружению и визуальному осмотру, а также проведение работ на телеуправляемом необитаемом подводном аппарате (ТНПА) с электромагнитными устройствами фиксации на корпусе для детальной инспекции швов, трещин и остаточной толщины корпуса, с использованием ультразвуковой (УЗИ) дефектоскопии. На основе анализа технических решений, сравнения с аналогами и рыночными тенденциями 2025 года обосновывается целесообразность разработки этих систем.","url":"https://doi.org/10.24412/cl-35750-2026-1-72-76","authors":["Д. Д. Кулько"],"tags":["гибридный БПЛА","телеуправляемый подводный аппарат (ТНПА)","инспекция корпусов судов","электромагнит","hybrid UAV","remotely operated underwater vehicle (ROV)","ship hull inspection","electromagnet"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.24412/cl-35750-2026-1-72-76","addedAt":"2026-08-31T06:39:58.778Z","updatedAt":"2026-08-31T06:39:59.256Z"},{"id":"doi:10.5281/zenodo.19399792","name":"Piezoelectric Vibration Energy Harvesting from Unmanned Aerial Vehicle Structures: A Comprehensive Review","source":"datacite","abstract":"Abstract This review identifies a 75× improvement in harvested power achievable through optimal patch placement — challenging the conventional intuition of mounting piezoelectric transducers near the vibrating motor tip — and validates this finding across 23 independent studies spanning 18 years of UAV energy harvesting research (2008–2026). Small multirotor unmanned aerial vehicles (UAVs) waste significant mechanical vibration energy throughout every flight phase. Piezoelectric energy harvesting (PEH) — the direct conversion of structural bending strain into electrical charge — offers a passive, zero-drag, no-moving-parts pathway to recover this energy for onboard structural health monitoring (SHM) sensors, wireless nodes, or supplementary power storage. This article provides the first systematic, critical review of UAV-specific PEH, covering 23 studies across the period 2008–2026. Six thematic domains are critically examined: (i) the UAV vibration environment, including the non-monotonic power–motor-speed relationship unique to variable-throttle multirotors; (ii) piezoelectric materials, contrasting PZT ceramic patches and polyvinylidene fluoride (PVDF) polymer films; (iii) structural modelling, from open-source Python Euler–Bernoulli finite element analysis (FEA) to coupled computational fluid dynamics (CFD)–ANSYS workflows; (iv) harvester placement and geometry optimisation, where a critical evaluation of six independent studies confirms that high-strain root placement outperforms high-displacement tip placement by 12.7–75×; (v) broadband harvesting strategies applicable to the variable-RPM (revolutions per minute) environment; and (vi) power conditioning circuits and energy storage. Seven comparative tables and four original figures are provided. Three critically assessed convergent findings and four research gaps are identified, with a four-stage experimental roadmap proposed to advance the field from simulation to flight-proven systems.","url":"https://doi.org/10.5281/zenodo.19399792","authors":["OMAR, SAYEED"],"tags":["Keywords: piezoelectric energy harvesting (PEH) · UAV · quadcopter · variable RPM · PZT-5A · PVDF · Euler–Bernoulli FEA · placement optimisation · LTC3588-1 · broadband harvesting · DJI F450 · structural health monitoring · deep reinforcement learning"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.19399792","addedAt":"2026-08-31T06:39:58.778Z","updatedAt":"2026-08-31T06:39:58.778Z"},{"id":"doi:10.6084/m9.figshare.24233704","name":"drones-07-00191-v2 (4).pdf","source":"datacite","abstract":"The use of drones for package delivery, commonly known as drone delivery or unmanned aerial vehicle (UAV) delivery, has gained significant attention from academia and industries. Compared to traditional delivery methods, it provides greater flexibility, improved accessibility, increased speed and efficiency, enhanced safety, and even some environmental benefits. With the increasing interest in this technology, it is crucial for researchers and practitioners to understand the current state of the art in drone delivery. This paper aims to review the current literature on drone delivery and identify research trends, challenges, and future research directions. Specifically, the relevant literature is identified and selected using a systematic literature review approach. We then categorize the literature according to the characteristics and objectives of the problems and thoroughly analyze them based on mathematical formulations and solution techniques. We summarize key challenges and limitations associated with drone delivery from technological, safety, societal, and environmental aspects. Finally, potential research directions are identified.","url":"https://doi.org/10.6084/m9.figshare.24233704","authors":["Tupayachi, Jose"],"tags":["Industrial engineering","Air transportation and freight services"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2023","doi":"10.6084/m9.figshare.24233704","addedAt":"2026-08-31T06:39:58.778Z","updatedAt":"2026-08-31T06:39:58.778Z"},{"id":"doi:10.48741/mut.17816534","name":"A bibliometric review of the status and emerging research trends in construction safety management technologies","source":"datacite","abstract":"Technologies such as virtual reality (VR), online databases, Geographic Information Systems (GIS), Building Information Modelling (BIM), Unmanned Aerial Vehicle (UAV), 4 D Computer-Aided Design (4 D CAD), wearable robotics have been adopted to improve construction site health and safety. However, little attempt has been made to map global research on construction health and safety technologies. Therefore, this paper conducts a review of technologies for construction health and safety management to reveal emerging research trends. A bibliometric review adopting a two-step literature selection method was conducted to compile relevant publications from the Scopus database. In total, 240 related papers were examined. VOSviewer was used to develop a co-occurrence network based on the bibliographic data obtained. The analysis focussed on co-authorship per country, country/region distribution, the num?ber of publications annually, publication source and source and trend of research topics. Findings revealed that emerging trends in construction health and safety technologies research focussed on pro?ject health and safety design and planning, visualisation and image processing for construction projects, digital technologies for project monitoring, information management and Internet of Things, automation and robotic systems, health and safety and accident prevention and structure evaluation.","url":"https://doi.org/10.48741/mut.17816534","authors":["Akinlolu, Mariam","Haupt, Theo C.","Edwards, David John","Simpeh, Fredrick"],"tags":["Construction engineering"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2022","doi":"10.48741/mut.17816534","addedAt":"2026-08-31T06:39:58.778Z","updatedAt":"2026-08-31T06:39:58.778Z"},{"id":"doi:10.48741/mut.17816534.v1","name":"A bibliometric review of the status and emerging research trends in construction safety management technologies","source":"datacite","abstract":"Technologies such as virtual reality (VR), online databases, Geographic Information Systems (GIS), Building Information Modelling (BIM), Unmanned Aerial Vehicle (UAV), 4 D Computer-Aided Design (4 D CAD), wearable robotics have been adopted to improve construction site health and safety. However, little attempt has been made to map global research on construction health and safety technologies. Therefore, this paper conducts a review of technologies for construction health and safety management to reveal emerging research trends. A bibliometric review adopting a two-step literature selection method was conducted to compile relevant publications from the Scopus database. In total, 240 related papers were examined. VOSviewer was used to develop a co-occurrence network based on the bibliographic data obtained. The analysis focussed on co-authorship per country, country/region distribution, the num?ber of publications annually, publication source and source and trend of research topics. Findings revealed that emerging trends in construction health and safety technologies research focussed on pro?ject health and safety design and planning, visualisation and image processing for construction projects, digital technologies for project monitoring, information management and Internet of Things, automation and robotic systems, health and safety and accident prevention and structure evaluation.","url":"https://doi.org/10.48741/mut.17816534.v1","authors":["Akinlolu, Mariam","Haupt, Theo C.","Edwards, David John","Simpeh, Fredrick"],"tags":["Construction engineering"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2022","doi":"10.48741/mut.17816534.v1","addedAt":"2026-08-31T06:39:58.778Z","updatedAt":"2026-08-31T06:39:58.778Z"},{"id":"doi:10.25392/leicester.data.29644328.v1","name":"<b>Novel Platforms And Applications </b><b>For Ground Penetrating Radar</b>","source":"datacite","abstract":"The project examined two new small, lightweight and manoeuvrable ground penetrating radar (GPR) units, designed by Geoscanners AB and marketed by Sterling Power Group. A review of existing literature was undertaken to determine current uses of GPR and to examine potential new uses; a project examining peat deposits is suggested as a potential new application. One 500MHz and one 1GHz unit were tested against each other and against conventional GPR. The GPR units were attached to an unmanned aerial vehicle (UAV) to investigate the possibility of using such a platform to facilitate rapid surveys and surveys of areas inaccessible to conventional GPR, for example in mine clearance operations. Environmental testing and extensive field-tests were carried out to see if the units were robust enough to stand up to the likely uses of the systems. The results of these surveys were collected and analysed, and have been tabulated as a database as well as being stored as a data-archive, along with data from a more conventional GPR unit available to the project. Despite many problems – engineering and organisational – resulting in some changes to the scope of the project as it developed, some positive results were achieved, demonstrating proof of concept but not yet a viable system. Recommendations for future improvements to the system are outlined.","url":"https://doi.org/10.25392/leicester.data.29644328.v1","authors":["A. Collins, Mark"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.25392/leicester.data.29644328.v1","addedAt":"2026-08-31T06:39:58.778Z","updatedAt":"2026-08-31T06:39:58.778Z"},{"id":"doi:10.25392/leicester.data.29644328","name":"<b>Novel Platforms And Applications </b><b>For Ground Penetrating Radar</b>","source":"datacite","abstract":"The project examined two new small, lightweight and manoeuvrable ground penetrating radar (GPR) units, designed by Geoscanners AB and marketed by Sterling Power Group. A review of existing literature was undertaken to determine current uses of GPR and to examine potential new uses; a project examining peat deposits is suggested as a potential new application. One 500MHz and one 1GHz unit were tested against each other and against conventional GPR. The GPR units were attached to an unmanned aerial vehicle (UAV) to investigate the possibility of using such a platform to facilitate rapid surveys and surveys of areas inaccessible to conventional GPR, for example in mine clearance operations. Environmental testing and extensive field-tests were carried out to see if the units were robust enough to stand up to the likely uses of the systems. The results of these surveys were collected and analysed, and have been tabulated as a database as well as being stored as a data-archive, along with data from a more conventional GPR unit available to the project. Despite many problems – engineering and organisational – resulting in some changes to the scope of the project as it developed, some positive results were achieved, demonstrating proof of concept but not yet a viable system. Recommendations for future improvements to the system are outlined.","url":"https://doi.org/10.25392/leicester.data.29644328","authors":["A. Collins, Mark"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.25392/leicester.data.29644328","addedAt":"2026-08-31T06:39:58.778Z","updatedAt":"2026-08-31T06:39:58.778Z"},{"id":"doi:10.48550/arxiv.2603.01687","name":"Predictive Importance Sampling Based Coverage Verification for Multi-UAV Trajectory Planning","source":"datacite","abstract":"Unmanned aerial vehicle (UAV) networks are emerging as a promising solution for ultra-reliable low-latency communication (URLLC) in next-generation wireless systems. A key challenge in millimeter wave UAV networks is maintaining continuous line of sight (LoS) coverage for mobile users, as existing snapshot-based trajectory planning methods fail to account for user mobility within decision intervals, leading to catastrophic coverage gaps. Standard uniform sampling for continuous coverage verification is computationally prohibitive, requiring huge number of samples to estimate rare failure events with latencies incompatible with real-time requirements. In this work, we propose a predictive importance sampling (PIS) framework that drastically reduces sample complexity by concentrating verification efforts on predicted failure regions. Specifically, we develop a long short-term memory mixture density network (LSTM-MDN) architecture to capture multimodal user trajectory distributions and combine it with defensive mixture sampling for robustness against prediction errors. We prove that PIS provides unbiased failure probability estimates with lower variance than uniform sampling. We then integrate PIS with multi-agent deep deterministic policy gradient (MADDPG) for coordinated multi-UAV trajectory planning using an adaptive multi-objective reward function balancing throughput, coverage, fairness, and energy consumption. Lastly, the simulation results show how our suggested method outperforms three other state-of-the-art methods in terms of coverage rate, throughput, and verification latency, making proactive coverage management for URLLC-aware UAV networks feasible.","url":"https://doi.org/10.48550/arxiv.2603.01687","authors":["Ghosh, Snehashish","Ghosh, Sasthi C."],"tags":["Networking and Internet Architecture (cs.NI)","FOS: Computer and information sciences","FOS: Computer and information sciences"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.48550/arxiv.2603.01687","addedAt":"2026-08-31T06:39:58.778Z","updatedAt":"2026-08-31T06:39:58.778Z"},{"id":"doi:10.48550/arxiv.2602.17247","name":"On the Value of Base Station Motion Knowledge for Goal-Oriented Remote Monitoring with Energy-Harvesting Sensors","source":"datacite","abstract":"This paper investigates goal-oriented remote monitoring of an unobservable Markov source using energy-harvesting sensors that communicate with a mobile receiver, such as a Low Earth Orbit (LEO) satellite or Unmanned Aerial Vehicle (UAV). Unlike conventional systems that assume stationary base stations, the proposed framework explicitly accounts for receiver mobility, which induces time-varying channel characteristics modeled as a finite-state Markov process. The remote monitoring problem is formulated as a partially observable Markov decision process (POMDP), which is transformed into a tractable belief-state MDP and solved using relative value iteration to obtain optimal sampling and transmission policies. Two estimation strategies are considered: Maximum Likelihood (ML) and Minimum Mean Distortion (MMD). Numerical results demonstrate that incorporating receiver mobility and channel state information into the optimization reduces the average distortion by 10% to 42% compared to baseline policies and constant-channel assumptions, highlighting the importance of base station motion knowledge for effective goal-oriented communication.","url":"https://doi.org/10.48550/arxiv.2602.17247","authors":["Siriwardana, Sehani","Sant'Ana, Jean Michel de Souza","Souza, Richard Demo","Zakeri, Abolfazl","López, Onel Luis Alcaraz"],"tags":["Systems and Control (eess.SY)","Networking and Internet Architecture (cs.NI)","FOS: Electrical engineering, electronic engineering, information engineering","FOS: Electrical engineering, electronic engineering, information engineering","FOS: Computer and information sciences","FOS: Computer and information sciences"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.48550/arxiv.2602.17247","addedAt":"2026-08-31T06:39:58.778Z","updatedAt":"2026-08-31T06:39:58.778Z"},{"id":"doi:10.6084/m9.figshare.30633030.v1","name":"Review on Performance Enhancement Techniques in FSO Systems","source":"datacite","abstract":"Free-Space Optical (FSO) communication offers a number of advantages like high capacity, low latency, and spectrum flexibility for backhaul and access links, which makes strong contender for acting as a key enabler for fifth-generation (5G) and beyond 5G communication networks. However, its extensive and large-scale deployment remains challenged by atmospheric turbulence, weather conditions, system complexity, and link reliability issues. This review presents a detailed study on FSO technologies and their possible application for next-generation communication applications. It discusses advanced concepts such as artificial intelligence and machine learning (AI/ML) for adaptive control of hybrid links, software-defined networking (SDN), and network function virtualization (NFV) for dynamic resource management, as well as an insight into unmanned-aerial vehicle/High altitude platforms (UAV/HAP)-assisted FSO links for extended coverage. The study also presents the energy-efficient architectures, quantum FSO systems, and reconfigurable intelligent surface (RIS)-based optimization approaches. In addition, the paper analyses the atmospheric impairments, tracking and security challenges, and major channel modelling techniques, highlighting the performance trade-offs in different turbulence conditions. A simulation study using Optisystem 22.1 compares the performance analysis using log-normal and Gamma–Gamma scintillation models under varying turbulence conditions, range performance, and Q-factor degradation. Finally, a comparative analysis of existing literature identifies the major achievements, limitations, and research gaps, offering a method for practical FSO deployment in 5G, B5G, and for 6G networks and guiding the development of future hybrid optical-wireless architectures.","url":"https://doi.org/10.6084/m9.figshare.30633030.v1","authors":["Sahu, Shreepreet","Sahu, Prasant Kumar"],"tags":["Biological Sciences not elsewhere classified","Information Systems not elsewhere classified"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.6084/m9.figshare.30633030.v1","addedAt":"2026-08-31T06:39:58.778Z","updatedAt":"2026-08-31T06:39:58.778Z"},{"id":"doi:10.6084/m9.figshare.30633030","name":"Review on Performance Enhancement Techniques in FSO Systems","source":"datacite","abstract":"Free-Space Optical (FSO) communication offers a number of advantages like high capacity, low latency, and spectrum flexibility for backhaul and access links, which makes strong contender for acting as a key enabler for fifth-generation (5G) and beyond 5G communication networks. However, its extensive and large-scale deployment remains challenged by atmospheric turbulence, weather conditions, system complexity, and link reliability issues. This review presents a detailed study on FSO technologies and their possible application for next-generation communication applications. It discusses advanced concepts such as artificial intelligence and machine learning (AI/ML) for adaptive control of hybrid links, software-defined networking (SDN), and network function virtualization (NFV) for dynamic resource management, as well as an insight into unmanned-aerial vehicle/High altitude platforms (UAV/HAP)-assisted FSO links for extended coverage. The study also presents the energy-efficient architectures, quantum FSO systems, and reconfigurable intelligent surface (RIS)-based optimization approaches. In addition, the paper analyses the atmospheric impairments, tracking and security challenges, and major channel modelling techniques, highlighting the performance trade-offs in different turbulence conditions. A simulation study using Optisystem 22.1 compares the performance analysis using log-normal and Gamma–Gamma scintillation models under varying turbulence conditions, range performance, and Q-factor degradation. Finally, a comparative analysis of existing literature identifies the major achievements, limitations, and research gaps, offering a method for practical FSO deployment in 5G, B5G, and for 6G networks and guiding the development of future hybrid optical-wireless architectures.","url":"https://doi.org/10.6084/m9.figshare.30633030","authors":["Sahu, Shreepreet","Sahu, Prasant Kumar"],"tags":["Biological Sciences not elsewhere classified","Information Systems not elsewhere classified"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.6084/m9.figshare.30633030","addedAt":"2026-08-31T06:39:58.778Z","updatedAt":"2026-08-31T06:39:58.778Z"},{"id":"doi:10.5281/zenodo.18483672","name":"Adaptive Flight Planning for Neural 3D Reconstruction with Low-Altitude UAVs","source":"datacite","abstract":"Contemporary advances in the Neural 3 Dimensional (3D) Reconstruction (N3DR) have enabled new possibilities for detailed scene understanding and immersive environment modeling. However, the quality of reconstruction remains heavily sensitive to viewpoint selection and flight trajectory, particularly in low-altitude Unmanned Aerial Vehicle (UAV) applications, where energy, time, and occlusions pose significant challenges. This article presents an intelligent and adaptive path planning framework that dynamically optimizes UAVs’ viewpoints to maximize neural reconstruction quality while respecting real-world constraints. Unlike static or heuristic approaches, our system integrates online feedback from the reconstruction engine to guide UAVs toward underexplored or uncertain regions in real time. We review key principles of view planning, identify limitations of current strategies, and introduce a modular framework capable of fusing scene priors, uncertainty maps, and flight constraints into trajectory optimization. Finally, we describe an experimental evaluation methodology that leverages a real-world testbed deployment and synthetic benchmarks to validate the effectiveness of dynamic planning on both reconstruction accuracy and operational efficiency. This work aims to bridge aerial robotics, Internet of Things (IoT)-enabled vision systems, and Artificial Intelligence (AI)-driven planning for robust 3D mapping in complex environments.","url":"https://doi.org/10.5281/zenodo.18483672","authors":["Bugelnig, Daniel Johannes","Lemic, Filip","Veres-Vitályos, Álmos","Castillo Gómez-Raya, Genís","Costa-Pérez, Xavier","Rinner, Bernhard"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.18483672","addedAt":"2026-08-31T06:39:58.778Z","updatedAt":"2026-08-31T06:39:58.778Z"},{"id":"doi:10.5281/zenodo.18483671","name":"Adaptive Flight Planning for Neural 3D Reconstruction with Low-Altitude UAVs","source":"datacite","abstract":"Contemporary advances in the Neural 3 Dimensional (3D) Reconstruction (N3DR) have enabled new possibilities for detailed scene understanding and immersive environment modeling. However, the quality of reconstruction remains heavily sensitive to viewpoint selection and flight trajectory, particularly in low-altitude Unmanned Aerial Vehicle (UAV) applications, where energy, time, and occlusions pose significant challenges. This article presents an intelligent and adaptive path planning framework that dynamically optimizes UAVs’ viewpoints to maximize neural reconstruction quality while respecting real-world constraints. Unlike static or heuristic approaches, our system integrates online feedback from the reconstruction engine to guide UAVs toward underexplored or uncertain regions in real time. We review key principles of view planning, identify limitations of current strategies, and introduce a modular framework capable of fusing scene priors, uncertainty maps, and flight constraints into trajectory optimization. Finally, we describe an experimental evaluation methodology that leverages a real-world testbed deployment and synthetic benchmarks to validate the effectiveness of dynamic planning on both reconstruction accuracy and operational efficiency. This work aims to bridge aerial robotics, Internet of Things (IoT)-enabled vision systems, and Artificial Intelligence (AI)-driven planning for robust 3D mapping in complex environments.","url":"https://doi.org/10.5281/zenodo.18483671","authors":["Bugelnig, Daniel Johannes","Lemic, Filip","Veres-Vitályos, Álmos","Castillo Gómez-Raya, Genís","Costa-Pérez, Xavier","Rinner, Bernhard"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.18483671","addedAt":"2026-08-31T06:39:58.778Z","updatedAt":"2026-08-31T06:39:58.778Z"},{"id":"doi:10.48550/arxiv.2508.11890","name":"Integrating Symbolic RL Planning into a BDI-based Autonomous UAV Framework: System Integration and SIL Validation","source":"datacite","abstract":"Modern autonomous drone missions increasingly require software frameworks capable of seamlessly integrating structured symbolic planning with adaptive reinforcement learning (RL). Although traditional rule-based architectures offer robust structured reasoning for drone autonomy, their capabilities fall short in dynamically complex operational environments that require adaptive symbolic planning. Symbolic RL (SRL), using the Planning Domain Definition Language (PDDL), explicitly integrates domain-specific knowledge and operational constraints, significantly improving the reliability and safety of unmanned aerial vehicle (UAV) decision making. In this study, we propose the AMAD-SRL framework, an extended and refined version of the Autonomous Mission Agents for Drones (AMAD) cognitive multi-agent architecture, enhanced with symbolic reinforcement learning for dynamic mission planning and execution. We validated our framework in a Software-in-the-Loop (SIL) environment structured identically to an intended Hardware-In-the-Loop Simulation (HILS) platform, ensuring seamless transition to real hardware. Experimental results demonstrate stable integration and interoperability of modules, successful transitions between BDI-driven and symbolic RL-driven planning phases, and consistent mission performance. Specifically, we evaluate a target acquisition scenario in which the UAV plans a surveillance path followed by a dynamic reentry path to secure the target while avoiding threat zones. In this SIL evaluation, mission efficiency improved by approximately 75% over a coverage-based baseline, measured by travel distance reduction. This study establishes a robust foundation for handling complex UAV missions and discusses directions for further enhancement and validation.","url":"https://doi.org/10.48550/arxiv.2508.11890","authors":["Jeon, Sangwoo","Shin, Juchul","Cho, YeonJe","Kim, Gyeong-Tae","Kim, Seongwoo"],"tags":["Robotics (cs.RO)","Artificial Intelligence (cs.AI)","FOS: Computer and information sciences","FOS: Computer and information sciences"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.48550/arxiv.2508.11890","addedAt":"2026-08-31T06:39:58.778Z","updatedAt":"2026-08-31T06:39:58.778Z"},{"id":"doi:10.17605/osf.io/2fahm","name":"Inspection and Evaluation of Urban Pavement Deterioration Using Drones: Review of Methods, Challenges, and Future Trends","source":"datacite","abstract":"Systematic review of unmanned aerial vehicle (UAV)-based methods for the inspection and evaluation of urban pavement deterioration, including photogrammetry, LiDAR, thermography, and artificial intelligence–based damage detection techniques.","url":"https://doi.org/10.17605/osf.io/2fahm","authors":[", joakb"],"tags":["Engineering","drones","pavement inspection","photogrammetry","urban roads"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.17605/osf.io/2fahm","addedAt":"2026-08-31T06:39:58.778Z","updatedAt":"2026-08-31T06:39:58.778Z"},{"id":"doi:10.48550/arxiv.2502.01771","name":"Impact of Altitude, Bandwidth, and NLOS Bias on TDOA-Based 3D UAV Localization: Experimental Results and CRLB Analysis","source":"datacite","abstract":"This paper investigates unmanned aerial vehicle (UAV) localization using time difference of arrival (TDOA) measurements under mixed line-of-sight (LOS) and non-line-of-sight (NLOS) conditions. A 3D TDOA Cramér-Rao lower bound (CRLB) model is developed accounting for varying altitudes and signal bandwidths. The model is compared to five real-world UAV flight experiments conducted at different altitudes (40 m, 70 m, 100 m) and bandwidths (1.25 MHz, 2.5 MHz, 5 MHz) using Keysight N6841A radio frequency (RF) sensors of the NSF AERPAW platform. Results show that altitude, bandwidth, and NLOS obstructions significantly impact localization accuracy. Higher bandwidths enhance signal time resolution, while increased altitudes mitigate multipath and NLOS biases, both contributing to improved performance. However, hovering close to RF sensors degrades accuracy due to antenna pattern misalignment and geometric dilution of precision. These findings emphasize the inadequacy of traditional LOS-based models in NLOS environments and highlight the importance of adaptive approaches for accurate localization in challenging scenarios.","url":"https://doi.org/10.48550/arxiv.2502.01771","authors":["Dickerson, Cole","Masrur, Saad","Dickerson, Jonah","Özdemir, Özgür","Güvenç, Ismail"],"tags":["Signal Processing (eess.SP)","FOS: Electrical engineering, electronic engineering, information engineering"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.48550/arxiv.2502.01771","addedAt":"2026-08-31T06:39:58.778Z","updatedAt":"2026-08-31T06:39:59.256Z"},{"id":"doi:10.5281/zenodo.17878900","name":"Review on SUAV targets positioning and tracking with RTK GPS systems for LOS maintenance","source":"datacite","abstract":"Abstract: The use of Small Unmanned Aerial Vehicle (SUAV’s) is rapidly increasing in civilian and military applications, but their cost, accessibility and easy usage make them potential tools for malicious activities. This review presents a comprehensive analysis of current SUAV detection and classification techniques. The SUAV detection methods include Radar Based Sensing, RF signal analysis, Acoustic signatures and Vision based systems. Findings show that single-sensor methods are insufficient, while hybrid approaches combining micro-Doppler, RF, and acoustic signatures offer higher detection accuracy. For precise SUAV navigation, this review discusses RTK GPS technology which uses carrier phase measurements and Integer ambiguity resolution by LAMBDA method for sub-centimetre accuracy. This paper also discusses IMU sensor integration with GPS sensor to provide high accuracy and real time positioning and navigation. The study also analyses Line of Sight (LOS) alignment strategies for air-to-ground and air-to-air communication, comparing gimbal-based alignment with monopulse tracking and FSOC based approaches. While gimbal mechanisms are reliable but slow, monopulse and EKF-based methods provide faster and more precise alignment. Overall, effective SUAV surveillance requires multi-sensor integration, advanced signal processing, and robust communication links. Future improvements in AI-driven fusion, swarm-based detection, GNSS alternatives, and autonomous FSO alignment can significantly enhance system reliability and performance. Keywords: SUAV, Micro-Doppler, RTK GPS, NMEA, RTCM, LoRa, NTRIP. Title: Review on SUAV targets positioning and tracking with RTK GPS systems for LOS maintenance Author: Aryan Mahindre, Aditya Raut, A.A. Bazil Raj, G. N. Gaikwad International Journal of Engineering Research and Reviews ISSN 2348-697X (Online) Vol. 13, Issue 4, October 2025 - December 2025 Page No: 38-54 Research Publish Journals Website: www.researchpublish.com Published Date: 10-December-2025 DOI: https://doi.org/10.5281/zenodo.17878900 Paper Download Link (Source) https://www.researchpublish.com/papers/review-on-suav-targets-positioning-and-tracking-with-rtk-gps-systems-for-los-maintenance","url":"https://doi.org/10.5281/zenodo.17878900","authors":["Aryan Mahindre","Aditya Raut","A.A. Bazil Raj","G. N. Gaikwad"],"tags":["SUAV","Micro-Doppler","RTK GPS","NMEA","RTCM","LoRa","NTRIP"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.17878900","addedAt":"2026-08-31T06:39:58.778Z","updatedAt":"2026-08-31T06:39:59.256Z"},{"id":"doi:10.5281/zenodo.17878899","name":"Review on SUAV targets positioning and tracking with RTK GPS systems for LOS maintenance","source":"datacite","abstract":"Abstract: The use of Small Unmanned Aerial Vehicle (SUAV’s) is rapidly increasing in civilian and military applications, but their cost, accessibility and easy usage make them potential tools for malicious activities. This review presents a comprehensive analysis of current SUAV detection and classification techniques. The SUAV detection methods include Radar Based Sensing, RF signal analysis, Acoustic signatures and Vision based systems. Findings show that single-sensor methods are insufficient, while hybrid approaches combining micro-Doppler, RF, and acoustic signatures offer higher detection accuracy. For precise SUAV navigation, this review discusses RTK GPS technology which uses carrier phase measurements and Integer ambiguity resolution by LAMBDA method for sub-centimetre accuracy. This paper also discusses IMU sensor integration with GPS sensor to provide high accuracy and real time positioning and navigation. The study also analyses Line of Sight (LOS) alignment strategies for air-to-ground and air-to-air communication, comparing gimbal-based alignment with monopulse tracking and FSOC based approaches. While gimbal mechanisms are reliable but slow, monopulse and EKF-based methods provide faster and more precise alignment. Overall, effective SUAV surveillance requires multi-sensor integration, advanced signal processing, and robust communication links. Future improvements in AI-driven fusion, swarm-based detection, GNSS alternatives, and autonomous FSO alignment can significantly enhance system reliability and performance. Keywords: SUAV, Micro-Doppler, RTK GPS, NMEA, RTCM, LoRa, NTRIP. Title: Review on SUAV targets positioning and tracking with RTK GPS systems for LOS maintenance Author: Aryan Mahindre, Aditya Raut, A.A. Bazil Raj, G. N. Gaikwad International Journal of Engineering Research and Reviews ISSN 2348-697X (Online) Vol. 13, Issue 4, October 2025 - December 2025 Page No: 38-54 Research Publish Journals Website: www.researchpublish.com Published Date: 10-December-2025 DOI: https://doi.org/10.5281/zenodo.17878900 Paper Download Link (Source) https://www.researchpublish.com/papers/review-on-suav-targets-positioning-and-tracking-with-rtk-gps-systems-for-los-maintenance","url":"https://doi.org/10.5281/zenodo.17878899","authors":["Aryan Mahindre","Aditya Raut","A.A. Bazil Raj","G. N. Gaikwad"],"tags":["SUAV","Micro-Doppler","RTK GPS","NMEA","RTCM","LoRa","NTRIP"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.17878899","addedAt":"2026-08-31T06:39:58.778Z","updatedAt":"2026-08-31T06:39:59.256Z"},{"id":"doi:10.5167/uzh-279947","name":"SAR Imaging with UAV Platforms","source":"datacite","abstract":"Studies indicate a growing frequency of extreme events such wildfires, floodings or landslides. Effectively monitoring the aftermath of such events requires flexible systems capable of rapid response. Remote sensing is a powerful tool in this context, with synthetic aperture radar (SAR) being particularly valuable due to its independence from weather and lighting conditions. This makes SAR a reliable choice in situations where other sensors would suffer from decreased performance, e.g. because of insufficient lighting conditions or dust. However, traditional airborne and satellite SAR platforms are limited in terms of scene viewing geometry, response time, and have high operational costs: Multiple viewing angles are beneficial for SAR imaging, as the technology is susceptible to effects such as layover and shadowing. Since satellites move on orbits, having multiple viewing angles over a short amount of time is difficult. Rapid response in the aftermath of extreme events would help to mitigate harm to people and the environment. High operational costs of conventional SAR systems also limit their availability, particularly in lower-income regions. This dissertation addresses these limitations by investigating unmanned aerial vehicle (UAV) platforms for SAR imaging. UAVs offer flexible flight path planning, can be quickly sent to local areas, and could be more cost-effective in such cases. A review of the current state of UAV SAR technology and its applications revealed challenges in image quality due to unstable flight trajectories, often caused by wind. By assembling a high-resolution UAV SAR system operating at K-band, it was demonstrated how to achieve improved image focusing quality with a range resolution of 19 cm and an azimuth resolution of 2.4 cm by proposing an autofocus method based on image sharpness. Experiments conducted at three different test sites demonstrated the potential of UAV SAR for accurate 3D imaging of urban structures and taller vegetation (e.g. trees) through tomographic SAR (TomoSAR) processing. The measured building dimensions (lengths, widths, heights) from the voxelized point clouds were consistent—within the uncertainty range of the SAR 3D reconstruction—with those obtained from reference LiDAR point clouds. Leveraging the advantage of UAVs, multi-aspect imaging of the test areas reduced the negative effects of radar shadow or layover in 3D reconstruction, leading to more complete point clouds compared to those obtained from single aspect acquisitions. In summary, this thesis contributes to the advancement of rapid mapping techniques for extreme event by proposing improvements to UAV SAR systems, which make best use of their flexibility through multi-aspect acquisitions. $\\textit{Full-text embargoed until: 2026-07-25}$","url":"https://doi.org/10.5167/uzh-279947","authors":["Brotzer, Peter"],"tags":["910 Geography &amp; travel"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5167/uzh-279947","addedAt":"2026-08-31T06:39:58.778Z","updatedAt":"2026-08-31T06:40:00.496Z"},{"id":"doi:10.48550/arxiv.2512.00029","name":"An optimization framework for task allocation in the edge/hub/cloud paradigm","source":"datacite","abstract":"With the advent of the Internet of Things (IoT), novel critical applications have emerged that leverage the edge/hub/cloud paradigm, which diverges from the conventional edge computing perspective. A growing number of such applications require a streamlined architecture for their effective execution, often comprising a single edge device with sensing capabilities, a single hub device (e.g., a laptop or smartphone) for managing and assisting the edge device, and a more computationally capable cloud server. Typical examples include the utilization of an unmanned aerial vehicle (UAV) for critical infrastructure inspection or a wearable biomedical device (e.g., a smartwatch) for remote patient monitoring. Task allocation in this streamlined architecture is particularly challenging, due to the computational, communication, and energy limitations of the devices at the network edge. Consequently, there is a need for a comprehensive framework that can address the specific task allocation problem optimally and efficiently. To this end, we propose a complete, binary integer linear programming (BILP) based formulation for an application-driven design-time approach, capable of providing an optimal task allocation in the targeted edge/hub/cloud environment. The proposed method minimizes the desired objective, either the overall latency or overall energy consumption, while considering several crucial parameters and constraints often overlooked in related literature. We evaluate our framework using a real-world use-case scenario, as well as appropriate synthetic benchmarks. Our extensive experimentation reveals that the proposed approach yields optimal and scalable results, enabling efficient design space exploration for different applications and computational devices.","url":"https://doi.org/10.48550/arxiv.2512.00029","authors":["Kouloumpris, Andreas","Stavrinides, Georgios L.","Michael, Maria K.","Theocharides, Theocharis"],"tags":["Networking and Internet Architecture (cs.NI)","Distributed, Parallel, and Cluster Computing (cs.DC)","FOS: Computer and information sciences","FOS: Computer and information sciences"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.48550/arxiv.2512.00029","addedAt":"2026-08-31T06:39:58.778Z","updatedAt":"2026-08-31T06:39:58.778Z"},{"id":"doi:10.5281/zenodo.17729807","name":"Unlocking Hyper-Resolution Dynamics: Multi-GNSS Aided UAV-LiDAR for Earth Surface Evolution","source":"datacite","abstract":"The Earth's surface is a dynamic interface, constantly evolving under the influence of natural processes and anthropogenic activities. Monitoring these changes with high spatial and temporal resolution is crucial for understanding geomorphological processes, assessing hazards, and managing natural resources. Traditional surveying methods often lack the spatial density and efficiency required to capture the complex, hyper-resolution dynamics inherent in many geomorphic phenomena. Unmanned Aerial Vehicle (UAV) borne Light Detection and Ranging (LiDAR) has emerged as a transformative technology, offering unprecedented detail in topographic mapping. However, the absolute accuracy of UAV-LiDAR systems is heavily reliant on the precision of their onboard positioning and orientation systems, primarily driven by Global Navigation Satellite System (GNSS) receivers. This paper explores the significant advancements achieved by integrating multi-constellation GNSS (Multi-GNSS) technology, such as Post-Processed Kinematic (PPK) and Real-Time Kinematic (RTK) techniques utilizing GPS, GLONASS, Galileo, and BeiDou, with UAV-LiDAR systems. We present a comprehensive review of how Multi-GNSS aids in achieving hyper-resolution georeferencing of LiDAR point clouds, thereby enabling the precise detection and quantification of subtle Earth surface changes over time. The paper discusses the methodological enhancements, challenges, and the profound implications of this synergistic approach for monitoring diverse Earth surface evolution processes, including landslide deformation, glacial retreat, riverbank erosion, and coastal morphodynamics. By unlocking hyper-resolution dynamics, Multi-GNSS aided UAV-LiDAR promises to revolutionize our understanding and management of dynamic Earth environments.","url":"https://doi.org/10.5281/zenodo.17729807","authors":["Revista, Zen","GEOGRAPHY, 10"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.17729807","addedAt":"2026-08-31T06:39:58.778Z","updatedAt":"2026-08-31T06:39:58.778Z"},{"id":"doi:10.5281/zenodo.17729806","name":"Unlocking Hyper-Resolution Dynamics: Multi-GNSS Aided UAV-LiDAR for Earth Surface Evolution","source":"datacite","abstract":"The Earth's surface is a dynamic interface, constantly evolving under the influence of natural processes and anthropogenic activities. Monitoring these changes with high spatial and temporal resolution is crucial for understanding geomorphological processes, assessing hazards, and managing natural resources. Traditional surveying methods often lack the spatial density and efficiency required to capture the complex, hyper-resolution dynamics inherent in many geomorphic phenomena. Unmanned Aerial Vehicle (UAV) borne Light Detection and Ranging (LiDAR) has emerged as a transformative technology, offering unprecedented detail in topographic mapping. However, the absolute accuracy of UAV-LiDAR systems is heavily reliant on the precision of their onboard positioning and orientation systems, primarily driven by Global Navigation Satellite System (GNSS) receivers. This paper explores the significant advancements achieved by integrating multi-constellation GNSS (Multi-GNSS) technology, such as Post-Processed Kinematic (PPK) and Real-Time Kinematic (RTK) techniques utilizing GPS, GLONASS, Galileo, and BeiDou, with UAV-LiDAR systems. We present a comprehensive review of how Multi-GNSS aids in achieving hyper-resolution georeferencing of LiDAR point clouds, thereby enabling the precise detection and quantification of subtle Earth surface changes over time. The paper discusses the methodological enhancements, challenges, and the profound implications of this synergistic approach for monitoring diverse Earth surface evolution processes, including landslide deformation, glacial retreat, riverbank erosion, and coastal morphodynamics. By unlocking hyper-resolution dynamics, Multi-GNSS aided UAV-LiDAR promises to revolutionize our understanding and management of dynamic Earth environments.","url":"https://doi.org/10.5281/zenodo.17729806","authors":["Revista, Zen","GEOGRAPHY, 10"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.17729806","addedAt":"2026-08-31T06:39:58.778Z","updatedAt":"2026-08-31T06:39:58.778Z"},{"id":"doi:10.5281/zenodo.17607932","name":"A THEORETICAL DESIGN OF A COMBINED AIR AND GROUND UNMANNED VEHICLE FOR SEARCH AND FOLLOW A DISASTER","source":"datacite","abstract":"The combination between unmanned ground vehicle and unmanned Ariel vehicle has become a matter of discussion lately in the field of robotics. This paper proposes a theoretical design of an unmanned vehicle with dimensions of (370 X 367 X 318 mm) which can fly as aerial vehicle and move on the ground, so it is considered unmanned ground vehicle as well. Subsequently, hybrid design is appropriate for following disaster robot because of the harsh environment. This investigation comprises literature review on some previous works in this regards along with the conception of the vehicle is argued in details with 3 D drawings. Furthermore, some calculations of the drag, lift forces and power consumption are performed. Finally, MATLAB plots are extracted to give an indication of the displacement response of the automobile in both X-Y axes.","url":"https://doi.org/10.5281/zenodo.17607932","authors":["Shakya, Yatendra"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.17607932","addedAt":"2026-08-31T06:39:58.778Z","updatedAt":"2026-08-31T06:39:58.778Z"},{"id":"doi:10.5281/zenodo.17607933","name":"A THEORETICAL DESIGN OF A COMBINED AIR AND GROUND UNMANNED VEHICLE FOR SEARCH AND FOLLOW A DISASTER","source":"datacite","abstract":"The combination between unmanned ground vehicle and unmanned Ariel vehicle has become a matter of discussion lately in the field of robotics. This paper proposes a theoretical design of an unmanned vehicle with dimensions of (370 X 367 X 318 mm) which can fly as aerial vehicle and move on the ground, so it is considered unmanned ground vehicle as well. Subsequently, hybrid design is appropriate for following disaster robot because of the harsh environment. This investigation comprises literature review on some previous works in this regards along with the conception of the vehicle is argued in details with 3 D drawings. Furthermore, some calculations of the drag, lift forces and power consumption are performed. Finally, MATLAB plots are extracted to give an indication of the displacement response of the automobile in both X-Y axes.","url":"https://doi.org/10.5281/zenodo.17607933","authors":["Shakya, Yatendra"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.17607933","addedAt":"2026-08-31T06:39:58.778Z","updatedAt":"2026-08-31T06:39:58.778Z"},{"id":"doi:10.48550/arxiv.2510.20149","name":"Dependency-Aware Task Offloading in Multi-UAV Assisted Collaborative Mobile Edge Computing","source":"datacite","abstract":"This paper proposes a novel multi-unmanned aerial vehicle (UAV) assisted collaborative mobile edge computing (MEC) framework, where the computing tasks of terminal devices (TDs) can be decomposed into serial or parallel sub-tasks and offloaded to collaborative UAVs. We first model the dependencies among all sub-tasks as a directed acyclic graph (DAG) and design a two-timescale frame structure to decouple the sub-task interdependencies for sub-task scheduling. Then, a joint sub-task offloading, computational resource allocation, and UAV trajectories optimization problem is formulated, which aims to minimize the system cost, i.e., the weighted sum of the task completion delay and the system energy consumption. To solve this non-convex mixed-integer nonlinear programming (MINLP) problem, a penalty dual decomposition and successive convex approximation (PDD-SCA) algorithm is developed. Particularly, the original MINLP problem is equivalently transferred into a continuous form relying on PDD theory. By decoupling the resulting problem into three nested subproblems, the SCA method is further combined to recast the non-convex components and obtain desirable solutions. Numerical results demonstrate that: 1) Compared to the benchmark algorithms, the proposed scheme can significantly reduce the system cost, and thus realize an improved trade-off between task latency and energy consumption; 2) The proposed algorithm can achieve an efficient workload balancing for distributed computation across multiple UAVs.","url":"https://doi.org/10.48550/arxiv.2510.20149","authors":["Zhao, Zhenyu","Xu, Xiaoxia","Zhang, Tiankui","Li, Junjie","Liu, Yuanwei"],"tags":["Computers and Society (cs.CY)","FOS: Computer and information sciences","FOS: Computer and information sciences"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.48550/arxiv.2510.20149","addedAt":"2026-08-31T06:39:58.778Z","updatedAt":"2026-08-31T06:39:58.778Z"},{"id":"doi:10.13140/rg.2.2.22254.73281","name":"Challenges and Opportunities of Unmanned Aerial Vehicle in Polar Regions: A Review","source":"datacite","abstract":"","url":"https://doi.org/10.13140/rg.2.2.22254.73281","authors":["Gebrewold Teklay Ge","Abera Tullu","Sunghun Jung"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.13140/rg.2.2.22254.73281","addedAt":"2026-08-31T06:39:58.778Z","updatedAt":"2026-08-31T06:39:58.778Z"},{"id":"doi:10.48550/arxiv.2505.18200","name":"CrossRF: A Domain-Invariant Deep Learning Approach for RF Fingerprinting","source":"datacite","abstract":"Radio Frequency (RF) fingerprinting offers a promising approach for drone identification and security, although it suffers from significant performance degradation when operating on different transmission channels. This paper presents CrossRF, a domain-invariant deep learning approach that addresses the problem of cross-channel RF fingerprinting for Unmanned Aerial Vehicle (UAV) identification. Our approach aims to minimize the domain gap between different RF channels by using adversarial learning to train a more robust model that maintains consistent identification performance despite channel variations. We validate our approach using the UAVSig dataset, comprising real-world over-the-air RF signals from identical drone models operating across several frequency channels, ensuring that the findings correspond to real-world scenarios. The experimental results show CrossRF's efficiency, achieving up to 99.03% accuracy when adapting from Channel 3 to Channel 4, compared to only 26.39% using conventional methods. The model maintains robust performance in more difficult multi-channel scenarios (87.57% accuracy adapting from Channels 1,3 to 2,4) and achieves 89.45% accuracy with 0.9 precision for controller classification. These results confirm CrossRF's ability to significantly reduce performance degradation due to cross-channel variations while maintaining high identification accuracy with minimal training data requirements, making it particularly suitable for practical drone security applications.","url":"https://doi.org/10.48550/arxiv.2505.18200","authors":["Tiras, Fahrettin Emin","Altinoluk, Hayriye Serra"],"tags":["Signal Processing (eess.SP)","Artificial Intelligence (cs.AI)","Machine Learning (cs.LG)","FOS: Electrical engineering, electronic engineering, information engineering","FOS: Electrical engineering, electronic engineering, information engineering","FOS: Computer and information sciences","FOS: Computer and information sciences"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.48550/arxiv.2505.18200","addedAt":"2026-08-31T06:39:58.778Z","updatedAt":"2026-08-31T06:39:58.778Z"},{"id":"doi:10.5281/zenodo.17212743","name":"DESIGN STRATEGIES FOR MOBILE SOCS: BALANCING BATTERY LIFE AND COMPUTATIONAL DEMAND","source":"datacite","abstract":"Modern smartphones are based on highly integrated Mobile System-on-Chip (SoC) technologies enabling functionalities in communication, high-performance gaming, and many others. As there is an increasing demand of high performance and energy efficiency in mobile electronics, design of System-on-Chips (SoCs) becomes more important. The battery life is still one of the key factors affecting the usability and life cycle of the mobile devices. System-on-Chip (SoC) technologies have facilitated the action of high-performance computing abilities in small and energy-constrained platforms. With the increase in real-time applications like augmented reality (AR), artificial intelligence (AI), and high-resolution multimedia, there comes a challenge of balancing between energy utilization and computational power, which is a major challenge to design. In this review, there is a detailed discussion of the modern mobile System-on-Chip (SoC) creations, energy-saving hardware solutions, advanced battery management system (BMS) approaches, and software-level optimization solutions. The role of heterogeneous computing and machine learning (ML) in dynamic workload management and energy optimization is of special concern. The possibility of artificial intelligence-based battery management system (AI-based BMS) to increase efficiency of operation and health of the battery is also discussed. In addition, Mobile Edge Computing (MEC) structures permitting venture in unmanned aerial vehicle (UAV)-based frameworks are examined and broadly contrasted qualitatively regarding algorithmic strategies. The paper ends with section devoted to the discussion of the current issues and the future research avenues in the design of energy-efficient mobile System-on-Chip (SoC) systems, that offer high performance.","url":"https://doi.org/10.5281/zenodo.17212743","authors":["Gupta, Sandeep"],"tags":["Mobile SoC Design","Battery Management System (BMS)","Energy-Efficient Computing","Computational Workload Optimization","Power Management Strategies","Heterogeneous Multi-core Architecture","Dynamic Voltage and Frequency Scaling (DVFS)"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.17212743","addedAt":"2026-08-31T06:39:58.778Z","updatedAt":"2026-08-31T06:39:58.778Z"},{"id":"doi:10.5281/zenodo.17212742","name":"DESIGN STRATEGIES FOR MOBILE SOCS: BALANCING BATTERY LIFE AND COMPUTATIONAL DEMAND","source":"datacite","abstract":"Modern smartphones are based on highly integrated Mobile System-on-Chip (SoC) technologies enabling functionalities in communication, high-performance gaming, and many others. As there is an increasing demand of high performance and energy efficiency in mobile electronics, design of System-on-Chips (SoCs) becomes more important. The battery life is still one of the key factors affecting the usability and life cycle of the mobile devices. System-on-Chip (SoC) technologies have facilitated the action of high-performance computing abilities in small and energy-constrained platforms. With the increase in real-time applications like augmented reality (AR), artificial intelligence (AI), and high-resolution multimedia, there comes a challenge of balancing between energy utilization and computational power, which is a major challenge to design. In this review, there is a detailed discussion of the modern mobile System-on-Chip (SoC) creations, energy-saving hardware solutions, advanced battery management system (BMS) approaches, and software-level optimization solutions. The role of heterogeneous computing and machine learning (ML) in dynamic workload management and energy optimization is of special concern. The possibility of artificial intelligence-based battery management system (AI-based BMS) to increase efficiency of operation and health of the battery is also discussed. In addition, Mobile Edge Computing (MEC) structures permitting venture in unmanned aerial vehicle (UAV)-based frameworks are examined and broadly contrasted qualitatively regarding algorithmic strategies. The paper ends with section devoted to the discussion of the current issues and the future research avenues in the design of energy-efficient mobile System-on-Chip (SoC) systems, that offer high performance.","url":"https://doi.org/10.5281/zenodo.17212742","authors":["Gupta, Sandeep"],"tags":["Mobile SoC Design","Battery Management System (BMS)","Energy-Efficient Computing","Computational Workload Optimization","Power Management Strategies","Heterogeneous Multi-core Architecture","Dynamic Voltage and Frequency Scaling (DVFS)"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.17212742","addedAt":"2026-08-31T06:39:58.778Z","updatedAt":"2026-08-31T06:39:58.778Z"},{"id":"doi:10.13021/jssr.2025","name":"Journal of Student-Scientists' Research, Vol. 7 (2025)","source":"datacite","abstract":"Abstracts submitted by the Aspiring Scientists Summer Internship Program cohort of 2025. Each describes an 8-week project conducted under faculty mentorship at George Mason University that was publically presented at our in-person or remote research symposiums in August 2025. Congratulations interns on your completion of the program, and thank you for your hard work! (Note: Not every ASSIP 2025 participant has an abstract that may posted publically. Some projects are the subject of an invention disclosure, are undergoing double-blind peer review as part of a scientific manuscript, or describe findings that are part of a grant submission.)","url":"https://doi.org/10.13021/jssr.2025","authors":["Journal of Student-Scientists' Research"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.13021/jssr.2025","addedAt":"2026-08-31T06:39:58.778Z","updatedAt":"2026-08-31T06:40:02.533Z"},{"id":"doi:10.5281/zenodo.17075147","name":"DESIGN STRATEGIES FOR MOBILE SOCS: BALANCING BATTERY LIFE AND COMPUTATIONAL DEMAND","source":"datacite","abstract":"Modern smartphones are based on highly integrated Mobile System-on-Chip (SoC) technologies enabling functionalities in communication, high-performance gaming, and many others. As there is an increasing demand of high performance and energy efficiency in mobile electronics, design of System-on-Chips (SoCs) becomes more important. The battery life is still one of the key factors affecting the usability and life cycle of the mobile devices. System-on-Chip (SoC) technologies have facilitated the action of high-performance computing abilities in small and energy-constrained platforms. With the increase in real-time applications like augmented reality (AR), artificial intelligence (AI), and high-resolution multimedia, there comes a challenge of balancing between energy utilization and computational power, which is a major challenge to design. In this review, there is a detailed discussion of the modern mobile System-on-Chip (SoC) creations, energy-saving hardware solutions, advanced battery management system (BMS) approaches, and software-level optimization solutions. The role of heterogeneous computing and machine learning (ML) in dynamic workload management and energy optimization is of special concern. The possibility of artificial intelligence-based battery management system (AI-based BMS) to increase efficiency of operation and health of the battery is also discussed. In addition, Mobile Edge Computing (MEC) structures permitting venture in unmanned aerial vehicle (UAV)-based frameworks are examined and broadly contrasted qualitatively regarding algorithmic strategies. The paper ends with section devoted to the discussion of the current issues and the future research avenues in the design of energy-efficient mobile System-on-Chip (SoC) systems, that offer high performance.","url":"https://doi.org/10.5281/zenodo.17075147","authors":["Gupta, Sandeep"],"tags":["Mobile SoC Design","Battery Management System (BMS)","Energy-Efficient Computing","Computational Workload Optimization","Power Management Strategies","Heterogeneous Multi-core Architecture","Dynamic Voltage and Frequency Scaling(DVFS)"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.17075147","addedAt":"2026-08-31T06:39:58.778Z","updatedAt":"2026-08-31T06:39:58.778Z"},{"id":"doi:10.5281/zenodo.17075146","name":"DESIGN STRATEGIES FOR MOBILE SOCS: BALANCING BATTERY LIFE AND COMPUTATIONAL DEMAND","source":"datacite","abstract":"Modern smartphones are based on highly integrated Mobile System-on-Chip (SoC) technologies enabling functionalities in communication, high-performance gaming, and many others. As there is an increasing demand of high performance and energy efficiency in mobile electronics, design of System-on-Chips (SoCs) becomes more important. The battery life is still one of the key factors affecting the usability and life cycle of the mobile devices. System-on-Chip (SoC) technologies have facilitated the action of high-performance computing abilities in small and energy-constrained platforms. With the increase in real-time applications like augmented reality (AR), artificial intelligence (AI), and high-resolution multimedia, there comes a challenge of balancing between energy utilization and computational power, which is a major challenge to design. In this review, there is a detailed discussion of the modern mobile System-on-Chip (SoC) creations, energy-saving hardware solutions, advanced battery management system (BMS) approaches, and software-level optimization solutions. The role of heterogeneous computing and machine learning (ML) in dynamic workload management and energy optimization is of special concern. The possibility of artificial intelligence-based battery management system (AI-based BMS) to increase efficiency of operation and health of the battery is also discussed. In addition, Mobile Edge Computing (MEC) structures permitting venture in unmanned aerial vehicle (UAV)-based frameworks are examined and broadly contrasted qualitatively regarding algorithmic strategies. The paper ends with section devoted to the discussion of the current issues and the future research avenues in the design of energy-efficient mobile System-on-Chip (SoC) systems, that offer high performance.","url":"https://doi.org/10.5281/zenodo.17075146","authors":["Gupta, Sandeep"],"tags":["Mobile SoC Design","Battery Management System (BMS)","Energy-Efficient Computing","Computational Workload Optimization","Power Management Strategies","Heterogeneous Multi-core Architecture","Dynamic Voltage and Frequency Scaling(DVFS)"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.17075146","addedAt":"2026-08-31T06:39:58.778Z","updatedAt":"2026-08-31T06:39:58.778Z"},{"id":"doi:10.48550/arxiv.2508.11687","name":"Agent-Based Anti-Jamming Techniques for UAV Communications in Adversarial Environments: A Comprehensive Survey","source":"datacite","abstract":"Unmanned Aerial Vehicle communications are encountering increasingly severe multi-source interference challenges in dynamic adversarial environments, which impose higher demands on their reliability and resilience. To address these challenges, agent-based autonomous anti-jamming techniques have emerged as a crucial research direction. This paper presents a comprehensive survey that first formalizes the concept of intelligent anti-jamming agents for UAV communications and establishes a closed-loop decision-making framework centered on the \"Perception-Decision-Action\" (P-D-A) paradigm. Within this framework, we systematically review key technologies at each stage, with particular emphasis on employing game theory to model UAV-jammer interactions and integrating reinforcement learning-based intelligent algorithms to derive adaptive anti-jamming strategies. Furthermore, we discuss potential limitations of current approaches, identify critical engineering challenges, and outline promising future research directions, aiming to provide valuable references for developing more intelligent and robust anti-jamming communication systems for UAVs.","url":"https://doi.org/10.48550/arxiv.2508.11687","authors":["Yang, Jingpu","Cui, Mingxuan","Zhang, Hang","Ji, Fengxian","Lai, Zhengzhao","Wang, Yufeng"],"tags":["Signal Processing (eess.SP)","Computer Science and Game Theory (cs.GT)","FOS: Electrical engineering, electronic engineering, information engineering","FOS: Electrical engineering, electronic engineering, information engineering","FOS: Computer and information sciences","FOS: Computer and information sciences"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.48550/arxiv.2508.11687","addedAt":"2026-08-31T06:39:58.778Z","updatedAt":"2026-08-31T06:39:58.778Z"},{"id":"doi:10.26174/thesis.lboro.29665175.v1","name":"Advanced millimetre-wave antennas for future 5G communications","source":"datacite","abstract":"This research focuses on the design and development of millimetre-Wave (mmWave) antennas for future 5G communications. An exhaustive literature review was conducted to identify the challenges associated with emerging mmWave antennas. The thesis investigates a family of novel 5G antennas with unique characteristics including by their compact size, planar geometries, large area coverage, wide bandwidth, and single/multi-beam shaping capabilities.To address adjacent channel interference and spatial path fading losses in mmWave communications, a dual-band dual-beam antenna utilising double circular rings is proposed and developed (Chapter 3). This is the first antenna to generate dual beams in dual mmWave bands, offering a peak gain of 9.2 dBi and more than 20\\% fractional bandwidth in both the bands. Building on this work, a novel tilted-beam end-fire antenna design based on double half-circular rings is explored, achieving stable radiation patterns over a wide operating range, suitable for both microwave and mmWave base stations applications (See Chapter 4). While dual-beam and tilted-beam antennas provide wide bandwidth, their limited area coverage restricts their applicability for unmanned aerial vehicle and base stations communications. To address this, novel slotted bent corrugated substrate integrated waveguide antennas for linearly polarised conical-beam and circularly polarised conical-beam configurations were proposed (See Chapter 5). Both antennas exhibit wideband behaviour with stable gain performance across the entire operating frequency range. Additionally, their radiation patterns remain highly stable at 24ᵒ ± 1ᵒin the elevation plane with front-to-back ratio exceeding 20 dB.There were very limited worked carried out in the design of 360ᵒ azimuth pattern reconfigurable antenna for mmWave frequency bands. Addressing this gap, the thesis introduces a novel 360ᵒ azimuth-plane {pattern reconfiguration antenna (PRA)} for 5G New Radio (NR), frequency range 2 communications. A grooved substrate integrated waveguide (SIW) geometry is proposed to resolve impedance matching challenges in circular SIW antennas when the vias were opened to achieve pattern reconfiguration (See Chapter 6). A unique design technique utilising 2D high-impedance surface was introduced, significantly enhancing the antenna's bandwidth (23.5–27.5 GHz) and gain (11.2 dBi). This is the first circular SIW antenna capable of generating dual beams and steering them 360ᵒ in the azimuth plane.To simplify fabrication and enable high multi-beam shaping capabilities, a novel bent corrugated design was proposed as an alternative of vias in circular SIW antennas. Open-ended quarter-wavelength bent corrugations surrounding a circular patch effectively manipulate the electric field (See Chapter 7). Active PIN diodes were integrated into the bent corrugations, introducing a new method to control surface currents and steer the electric field in desired directions. This is the first antenna utilising only 12 active switches to independently steer more than two beams across the entire azimuth plane. It achieved a peak gain of 9.2 dBi in single-beam scanning mode with a 30ᵒ scanning step-size. A prototype of the bent corrugated SIW antenna was fabricated with soldered PIN diodes, and the impact of soldering on performance was thoroughly analysed. A novel solution based on a defected ground plane was proposed to mitigate the effects of soldering inductance.All the proposed antennas in this thesis were fabricated and tested using in-house facilities at Loughborough University. The measurement results closely align with simulations, demonstrating that the proposed antennas are well-suited for future 5G base stations, and vehicular communications.","url":"https://doi.org/10.26174/thesis.lboro.29665175.v1","authors":["Patel, Amitkumar"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.26174/thesis.lboro.29665175.v1","addedAt":"2026-08-31T06:39:58.778Z","updatedAt":"2026-08-31T06:39:58.778Z"},{"id":"doi:10.26174/thesis.lboro.29665175","name":"Advanced millimetre-wave antennas for future 5G communications","source":"datacite","abstract":"This research focuses on the design and development of millimetre-Wave (mmWave) antennas for future 5G communications. An exhaustive literature review was conducted to identify the challenges associated with emerging mmWave antennas. The thesis investigates a family of novel 5G antennas with unique characteristics including by their compact size, planar geometries, large area coverage, wide bandwidth, and single/multi-beam shaping capabilities.To address adjacent channel interference and spatial path fading losses in mmWave communications, a dual-band dual-beam antenna utilising double circular rings is proposed and developed (Chapter 3). This is the first antenna to generate dual beams in dual mmWave bands, offering a peak gain of 9.2 dBi and more than 20\\% fractional bandwidth in both the bands. Building on this work, a novel tilted-beam end-fire antenna design based on double half-circular rings is explored, achieving stable radiation patterns over a wide operating range, suitable for both microwave and mmWave base stations applications (See Chapter 4). While dual-beam and tilted-beam antennas provide wide bandwidth, their limited area coverage restricts their applicability for unmanned aerial vehicle and base stations communications. To address this, novel slotted bent corrugated substrate integrated waveguide antennas for linearly polarised conical-beam and circularly polarised conical-beam configurations were proposed (See Chapter 5). Both antennas exhibit wideband behaviour with stable gain performance across the entire operating frequency range. Additionally, their radiation patterns remain highly stable at 24ᵒ ± 1ᵒin the elevation plane with front-to-back ratio exceeding 20 dB.There were very limited worked carried out in the design of 360ᵒ azimuth pattern reconfigurable antenna for mmWave frequency bands. Addressing this gap, the thesis introduces a novel 360ᵒ azimuth-plane {pattern reconfiguration antenna (PRA)} for 5G New Radio (NR), frequency range 2 communications. A grooved substrate integrated waveguide (SIW) geometry is proposed to resolve impedance matching challenges in circular SIW antennas when the vias were opened to achieve pattern reconfiguration (See Chapter 6). A unique design technique utilising 2D high-impedance surface was introduced, significantly enhancing the antenna's bandwidth (23.5–27.5 GHz) and gain (11.2 dBi). This is the first circular SIW antenna capable of generating dual beams and steering them 360ᵒ in the azimuth plane.To simplify fabrication and enable high multi-beam shaping capabilities, a novel bent corrugated design was proposed as an alternative of vias in circular SIW antennas. Open-ended quarter-wavelength bent corrugations surrounding a circular patch effectively manipulate the electric field (See Chapter 7). Active PIN diodes were integrated into the bent corrugations, introducing a new method to control surface currents and steer the electric field in desired directions. This is the first antenna utilising only 12 active switches to independently steer more than two beams across the entire azimuth plane. It achieved a peak gain of 9.2 dBi in single-beam scanning mode with a 30ᵒ scanning step-size. A prototype of the bent corrugated SIW antenna was fabricated with soldered PIN diodes, and the impact of soldering on performance was thoroughly analysed. A novel solution based on a defected ground plane was proposed to mitigate the effects of soldering inductance.All the proposed antennas in this thesis were fabricated and tested using in-house facilities at Loughborough University. The measurement results closely align with simulations, demonstrating that the proposed antennas are well-suited for future 5G base stations, and vehicular communications.","url":"https://doi.org/10.26174/thesis.lboro.29665175","authors":["Patel, Amitkumar"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.26174/thesis.lboro.29665175","addedAt":"2026-08-31T06:39:58.778Z","updatedAt":"2026-08-31T06:39:58.778Z"},{"id":"doi:10.5281/zenodo.15713730","name":"Advancements in Unmanned Aerial Vehicle (UAV) Research: A Comprehensive Review on Design and Fabrication","source":"datacite","abstract":"Abstract: This review paper provides an extensive overview of the most recent developmentsin drone frame design, focusing on materials, structural configurations, manufacturingmethods, and novel ideas. It delves into the variety of materials employed in the constructionof drone frames, including conventional metals such as aluminium and carbon fibercomposites, as well as new alternatives like 3D-printed polymers and bio-inspired materials.The advancement of drone technology has significantly influenced multiple industries,including aerial photography, surveillance, and package delivery. In addition, the reviewemphasizes cutting-edge concepts in drone frame design, including modular structures thatallow for easy assembly and customization, foldable frames that facilitate more convenienttransport, and morphing designs that enable adaptive flight characteristics. This paper alsodiscusses the important perspectives on the latest advancements in drone frame design bysynthesizing information from academic studies, industry reports, and technological progress.","url":"https://doi.org/10.5281/zenodo.15713730","authors":["Mohammad Abdul Fazal, A. Rajasekhar, R. Rajendra"],"tags":["Drone technology, Frame design, Manufacturing techniques, Innovation, Foldable structures, Morphing designs, Performance enhancement."],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.15713730","addedAt":"2026-08-31T06:39:58.778Z","updatedAt":"2026-08-31T06:39:58.778Z"},{"id":"doi:10.48550/arxiv.2303.10270","name":"Adaptive Modified RISE Control for Quadrotors: Enhancing Trajectory Tracking Through Uncertainty Compensation","source":"datacite","abstract":"This paper presents an adaptive modified Robust Inverse of Signum Error (AM-RISE) control method, which achieves reliable trajectory tracking control for a quadrotor unmanned aerial vehicle. The proposed method systematically accounts for gyroscopic effects, rotor dynamics, parametric uncertainties, and external disturbances, ensuring robust performance across varying trajectory speeds. Through novel mathematical manipulation in the error system development, the quadrotor dynamics are expressed in a control-oriented form, which explicitly incorporates the uncertainty in the gyroscopic term and control actuation term. An adaptive modified RISE law is then designed to stabilize both the position and attitude loops of the quadrotor system. A rigorous Lyapunov-based analysis is utilized to prove asymptotic trajectory tracking, where the region of convergence can be made arbitrarily large through judicious control gain selection. Moreover, the stability analysis formally addresses gyroscopic effects and actuator uncertainty. To illustrate the performance of the control law, comparative numerical simulation results are provided, which demonstrate the improved closed-loop performance achieved under varying levels of parametric uncertainty, disturbance magnitudes and trajectory speeds.","url":"https://doi.org/10.48550/arxiv.2303.10270","authors":["Johnston, Kevin","Arrafi, Musabbir Ahmed","Kidambi, Krishna B","Tiwari, Madhur"],"tags":["Systems and Control (eess.SY)","FOS: Electrical engineering, electronic engineering, information engineering","FOS: Electrical engineering, electronic engineering, information engineering"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2023","doi":"10.48550/arxiv.2303.10270","addedAt":"2026-08-31T06:39:58.778Z","updatedAt":"2026-08-31T06:39:58.778Z"},{"id":"doi:10.21203/rs.3.rs-3163233/v1","name":"A systematic literature review of vehicle-to-everything in communication, computation and service scenarios","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-3163233/v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2023","doi":"10.21203/rs.3.rs-3163233/v1","addedAt":"2026-08-31T06:39:58.778Z","updatedAt":"2026-08-31T06:40:00.189Z"},{"id":"doi:10.21203/rs.3.rs-2483925/v1","name":"Design of Submerged Air-intake for Uav Application","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-2483925/v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2023","doi":"10.21203/rs.3.rs-2483925/v1","addedAt":"2026-08-31T06:39:58.778Z","updatedAt":"2026-08-31T06:40:00.189Z"},{"id":"doi:10.1101/2023.12.13.571461","name":"Temporal resolution trumps spectral resolution in UAV-based monitoring of canopy senescence dynamics","source":"preprints","abstract":"","url":"https://doi.org/10.1101/2023.12.13.571461","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2023","doi":"10.1101/2023.12.13.571461","addedAt":"2026-08-31T06:39:58.778Z","updatedAt":"2026-08-31T06:40:00.189Z"},{"id":"doi:10.21203/rs.3.rs-2365573/v1","name":"Evaluating the sustainability of lightweight drones for delivery: towards a suitable methodology for assessment  ","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-2365573/v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2022","doi":"10.21203/rs.3.rs-2365573/v1","addedAt":"2026-08-31T06:39:58.778Z","updatedAt":"2026-08-31T06:40:00.189Z"},{"id":"doi:10.21203/rs.3.rs-957476/v1","name":"Feasibility Study of Using Uncrewed Aerial Vehicles to Deliver COVID-19 Vaccines in Geographically Inaccessible Areas of Nepal","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-957476/v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2021","doi":"10.21203/rs.3.rs-957476/v1","addedAt":"2026-08-31T06:39:58.778Z","updatedAt":"2026-08-31T06:40:00.189Z"},{"id":"doi:10.1101/2020.01.21.913681","name":"Use of unmanned aerial vehicles (UAVs) for mark-resight nesting population estimation of adult female green sea turtles at Raine Island","source":"preprints","abstract":"","url":"https://doi.org/10.1101/2020.01.21.913681","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2020","doi":"10.1101/2020.01.21.913681","addedAt":"2026-08-31T06:39:58.778Z","updatedAt":"2026-08-31T06:40:00.189Z"},{"id":"doi:10.21203/rs.3.rs-2205379/v1","name":"Securing Health Care Data through Blockchain enabled Collaborative Machine Learning","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-2205379/v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2022","doi":"10.21203/rs.3.rs-2205379/v1","addedAt":"2026-08-31T06:39:58.778Z","updatedAt":"2026-08-31T06:40:00.189Z"},{"id":"doi:10.21203/rs.3.rs-39872/v1","name":"Physical distancing and risk of COVID-19 in small-scale fisheries: A remote sensing assessment in coastal Ghana","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-39872/v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2020","doi":"10.21203/rs.3.rs-39872/v1","addedAt":"2026-08-31T06:39:58.778Z","updatedAt":"2026-08-31T06:40:00.189Z"},{"id":"doi:10.2139/ssrn.4312511","name":"Role of Innovation and Technology for Providing Better Protection to Refugees","source":"preprints","abstract":"","url":"https://doi.org/10.2139/ssrn.4312511","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2023","doi":"10.2139/ssrn.4312511","addedAt":"2026-08-31T06:39:58.778Z","updatedAt":"2026-08-31T06:40:00.189Z"},{"id":"doi:10.2139/ssrn.4095106","name":"The Theory of Technological Response and Progress in Chaos","source":"preprints","abstract":"","url":"https://doi.org/10.2139/ssrn.4095106","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2022","doi":"10.2139/ssrn.4095106","addedAt":"2026-08-31T06:39:58.778Z","updatedAt":"2026-08-31T06:40:00.189Z"},{"id":"doi:10.2139/ssrn.3849218","name":"The Eye in the Sky Delivers (and Influences) What You Buy","source":"preprints","abstract":"Imagine that you are at home, when suddenly a drone peers into your window, takes a picture of your wardrobe, familiarizes itself with your fashion preferences, or takes a picture of your kitchen table during dinner. The drone immediately transfers the picture to the commercial platform that operates it, such as Amazon or Uber. The platform in turn targets you with personalized advertisements for merchandise or food, in real time, customized to your lifestyle, at the time when you are most susceptible, manipulating you to make a purchase. How should the law react to this? And what if a drone were to collect information on private individuals in public using sophisticated cameras, sensors and facial recognition software? What if the platform that operates drones were to collect and use information on consumers and third parties? Should the law limit such invasions of privacy? The use of drones is growing rapidly and their technological capabilities are growing exponentially. Drones differ from existing surveillance technology. Their low cost and their ability to fly, equipped with high-resolution cameras, recording systems and sensors, enable them to take in information over longer periods of time and much more effectively than the human eye or ear. Such capabilities are liable to give rise to pervasive surveillance of a kind never known before. Making matters worse, invasion of privacy has serious consequences. By using a network of drone fleets at the service of a single commercial platform, such surveillance could allow the platform to effectively aggregate and analyze tremendous amounts of high-quality information on the parties under surveillance, gain valuable insight on consumers and influence their decisions to order merchandise or food. While much of the scholarship on drone surveillance and invasion of privacy focuses on governmental use and the Fourth Amendment, this Article focuses on the use of drones by private entities engaged in commercial deliveries. Drone deliveries are relatively new; only a few companies have recently overcome the regulatory obstacles to receive Federal Aviation Administration approval for U.S. deliveries. COVID-19 has pushed companies to utilize drones for deliveries and has increased demand for it. Since drones are unmanned, they can deliver food and other products without close contact with the recipient. Such delivery can be safer, faster, cheaper and more efficient than traditional emissaries; yet alongside the benefits, the use of delivery drones can lead to invasion of privacy and can result in abuse of personal data for manipulation, raising significant challenges. This Article addresses the challenges drones pose to privacy and proposes solutions. It aims to contribute to the literature in several ways. First, it outlines a roadmap of the different types of invasion of privacy and harm that can be caused by drones. It demonstrates that the physical boundaries of invasion no longer matter in light of advanced technology. In identifying types of invasion and harm, this Article takes the first step towards creating a legal policy for delivery drones. Second, this Article addresses existing law, arguing that currently there is a gap between the capacity of drones to observe and aggregate personal information and privacy protections under U.S. law. Third, it proposes solutions under privacy law, and even a duty of loyalty for platforms that operate drones. Finally, this Article accounts for possible First Amendment objections to the proposed solutions.","url":"https://doi.org/10.2139/ssrn.3849218","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2021","doi":"10.2139/ssrn.3849218","addedAt":"2026-08-31T06:39:58.778Z","updatedAt":"2026-08-31T06:40:00.189Z"},{"id":"doi:10.21203/rs.3.rs-3368060/v1","name":"Collision Avoidance and Routing based on Location Access (CARLA) of mobile robots","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-3368060/v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2023","doi":"10.21203/rs.3.rs-3368060/v1","addedAt":"2026-08-31T06:39:58.778Z","updatedAt":"2026-08-31T06:40:08.031Z"},{"id":"doi:10.2139/ssrn.4248702","name":"E-Commerce, Delivery Drones and Their Impact on Cities","source":"preprints","abstract":"","url":"https://doi.org/10.2139/ssrn.4248702","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2022","doi":"10.2139/ssrn.4248702","addedAt":"2026-08-31T06:39:58.778Z","updatedAt":"2026-08-31T06:40:00.189Z"},{"id":"doi:10.21203/rs.3.rs-412040/v1","name":"A Bagging Dynamic Deep Learning Network for Diagnosing COVID-19","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-412040/v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2021","doi":"10.21203/rs.3.rs-412040/v1","addedAt":"2026-08-31T06:39:58.778Z","updatedAt":"2026-08-31T06:40:00.189Z"},{"id":"doi:10.2139/ssrn.3905833","name":"Did COVID-19 Pandemic Affect the Sentiments expressed in the Financial Statements? - A study of New Age Technology and Nifty IT Firms","source":"preprints","abstract":"","url":"https://doi.org/10.2139/ssrn.3905833","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2021","doi":"10.2139/ssrn.3905833","addedAt":"2026-08-31T06:39:58.778Z","updatedAt":"2026-08-31T06:40:00.189Z"},{"id":"doi:10.2139/ssrn.3795654","name":"Terrified by Technology: How Systemic Bias Distorts U.S. Legal and Regulatory Responses to Emerging Technology","source":"preprints","abstract":"","url":"https://doi.org/10.2139/ssrn.3795654","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2021","doi":"10.2139/ssrn.3795654","addedAt":"2026-08-31T06:39:58.778Z","updatedAt":"2026-08-31T06:40:00.189Z"},{"id":"doi:10.21203/rs.3.rs-815744/v1","name":"Digital Response Framework for COVID-19 Pandemic Monitoring and Control in India","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-815744/v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2021","doi":"10.21203/rs.3.rs-815744/v1","addedAt":"2026-08-31T06:39:58.778Z","updatedAt":"2026-08-31T06:40:00.189Z"},{"id":"doi:10.2139/ssrn.3679662","name":"Impacts of COVID-19 on the Transportation Sector: A Report on China","source":"preprints","abstract":"","url":"https://doi.org/10.2139/ssrn.3679662","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2020","doi":"10.2139/ssrn.3679662","addedAt":"2026-08-31T06:39:58.778Z","updatedAt":"2026-08-31T06:40:00.189Z"},{"id":"doi:10.2139/ssrn.3904602","name":"Exergetic Assessment of a Newly Designed Solid Oxide Fuel Cell-Based System Combined with Propulsion Engine","source":"preprints","abstract":"","url":"https://doi.org/10.2139/ssrn.3904602","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2021","doi":"10.2139/ssrn.3904602","addedAt":"2026-08-31T06:39:58.778Z","updatedAt":"2026-08-31T06:40:00.189Z"},{"id":"doi:10.2139/ssrn.3680909","name":"Developing a Legal Framework for Regulating Emotion AI","source":"preprints","abstract":"Of all the pressing issues facing the world in the summer of 2020, it might not appear as if establishing a code of ethics for the ethical use of Artificial Intelligence (AI) technology could be put at the same level as combatting Covid-19 or addressing racism. But a team of researchers at the Centre for the Study of Existential Risk at the University Cambridge (the Cambridge Team) trace the harm caused by these events directly to the increased use of AI assisted decision making. In July 2020 they put out an urgent call to “technologists, ethicists, policymakers and healthcare professionals” asking them “to consider how ethics can be implemented at speed in the ongoing response to the COVID-19 crisis.” Although the Cambridge team did not call for help from law professors, any effort to develop an enforceable AI code of ethics will face significant legal barriers unless we can better articulate the harms attributable to the newest iteration of AI, Emotion AI. Based on a theory that human emotions can be detected through analysis of facial expressions, Emotion AI has become a multi-billion dollar industry and has already been adopted by every company you may have ever heard of for market research, digital interviewing, and interviewing prospective employees. Not only does Emotion AI claim it can read emotions, but in a chilling throwback to murderous computers in 2001 or romantic partners in Her, it claims to convincingly generate emotional responses in its interactions with humans. While I do not purport to provide a code of emotion AI ethics, or more accurately to choose among the many proposed codes that already exist, this paper looks directly at the legal barriers to enforcing such a code when without a shared understanding of what harm is caused by either detecting or imitating feelings and proposes a framework for addressing these harms in the context of existing legal remedies related to protecting against invasions of privacy by both public and private entities. The longstanding concerns that AI assisted decision making recapitulates the biases of society in ways that are difficult to detect and mitigate are still very much with us. But in this article I both make the case that the potential harm of Emotion AI is even more significant because it is so much more difficult to define and create a framework for looking at that harm within the existence of existing legal remedies.","url":"https://doi.org/10.2139/ssrn.3680909","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2020","doi":"10.2139/ssrn.3680909","addedAt":"2026-08-31T06:39:58.778Z","updatedAt":"2026-08-31T06:40:00.189Z"},{"id":"doi:10.2139/ssrn.3985827","name":"The UNDP Accelerator Lab Network: Intellectual Property, Innovation Policy, Sustainable Development, and the COVID-19 Recovery","source":"preprints","abstract":"","url":"https://doi.org/10.2139/ssrn.3985827","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2021","doi":"10.2139/ssrn.3985827","addedAt":"2026-08-31T06:39:58.778Z","updatedAt":"2026-08-31T06:40:00.189Z"},{"id":"doi:10.2139/ssrn.3647386","name":"The Development and Future of Privacy Law in Maine","source":"preprints","abstract":"","url":"https://doi.org/10.2139/ssrn.3647386","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2020","doi":"10.2139/ssrn.3647386","addedAt":"2026-08-31T06:39:58.778Z","updatedAt":"2026-08-31T06:40:00.189Z"},{"id":"doi:10.2514/6.2026-4382","name":"Unmanned Microgravity Automated Aerial Vehicle (UMAAV) Development and Testing","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2026-4382","authors":["Henry P. Coyle","Douglas A. Herr"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-06-04T17:45:42Z","doi":"10.2514/6.2026-4382","addedAt":"2026-08-31T06:39:58.972Z","updatedAt":"2026-08-31T06:39:58.972Z"},{"id":"doi:10.2514/6.2026-4753","name":"Real-Time Vehicle Detection and Enumeration Using Unmanned Aerial Systems","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2026-4753","authors":["Adeel Khalid","Owais Ahmed","Ethan Debeb"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-06-04T17:45:42Z","doi":"10.2514/6.2026-4753","addedAt":"2026-08-31T06:39:58.972Z","updatedAt":"2026-08-31T06:39:58.972Z"},{"id":"doi:10.1051/matecconf/202642402010","name":"Calibration and Research of Unmanned Aerial Vehicle Sensors","source":"crossref","abstract":"This paper focuses on the multi-sensor calibration problem in unmanned aerial vehicle obstacle-avoidance systems, systematically analysing the error characteristics and modelling differences among lidar, vision sensors, ultrasonic sensors, and millimetre-wave radar under dynamic flight conditions. It is pointed out that problems such as time asynchrony, external parameter drift and slow parameter failure caused by high-speed motion, vibration disturbance and environmental change of unmanned aerial vehicles make traditional static calibration difficult to meet the requirements of real-time obstacle avoidance. Subsequently, by sorting out the internal and external parameter calibration models, coordinate system transformation relationships and error modelling methods, it is proposed to incorporate the key calibration parameters into the online state estimation framework to achieve dynamic update and structural constraint compensation, and then combine the multi-sensor fusion calibration with the intelligent algorithm adaptive compensation mechanism to improve the robustness and consistency of the system in complex environments. Finally, the calibration strategies for typical scenarios such as urban environment, indoor navigation, disaster relief and agricultural operations were analysed. The paper explores the stable operation schemes of real-time obstacle avoidance systems for unmanned aerial vehicles, providing a theoretical basis and methodological support for engineering applications.","url":"https://doi.org/10.1051/matecconf/202642402010","authors":["Qianhao Xu"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-08-19T07:54:39Z","doi":"10.1051/matecconf/202642402010","addedAt":"2026-08-31T06:39:58.972Z","updatedAt":"2026-08-31T06:39:58.972Z"},{"id":"doi:10.25045/forensic.gov.2026.20","name":"Digital Forensics Issues of Unmanned Aerial Vehicle Operations","source":"crossref","abstract":"Recently, Unmanned Aerial Vehicles (UAVs) have become increasingly important in everyday life. It’s possible to see their use in different fields, including agriculture, photography, surveillance, rescue operations, etc. However, as their use grows, concerns about misuse, safety, and privacy are also increasing. Due to this reason, UAV forensics has emerged as a specialized field. In order to investigate incidents, UAV forensics focuses on identifying, collecting, and analyzing data from UAVs. The article examines digital forensics issues related to UAVs.","url":"https://doi.org/10.25045/forensic.gov.2026.20","authors":["Orkhan Valikhanli"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-08-20T10:11:06Z","doi":"10.25045/forensic.gov.2026.20","addedAt":"2026-08-31T06:39:58.972Z","updatedAt":"2026-08-31T06:39:58.972Z"},{"id":"doi:10.2514/6.2026-4389","name":"Conceptual Sizing, Mission Design &amp; Vehicle Engineering for a Supersonic Unmanned Combat Aerial Vehicle","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2026-4389","authors":["Mayank Kumar","Devesh Mittal","Sree Baruni Muriki","Pradyumna Mangal","Dhwanil Shukla"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-06-04T17:45:42Z","doi":"10.2514/6.2026-4389","addedAt":"2026-08-31T06:39:58.972Z","updatedAt":"2026-08-31T06:39:58.972Z"},{"id":"doi:10.36652/0869-4931-2026-80-4-168-172","name":"A high-speed adaptive observer for correcting the navigation system of a small unmanned aerial vehicle","source":"crossref","abstract":"The navigation system of a small unmanned aerial vehicle is considered. The accuracy of navigation parameters is improved by correcting the output signal. For this purpose linear or nonlinear estimation algorithms are used in the navigation system, which have their own shortcomings. To improve the accuracy of inertial navigation system error calculations, it is proposed to use a high-speed adaptive observer, the effectiveness of which is confirmed during flight experiments with the FH-80 unmanned aerial vehicle.","url":"https://doi.org/10.36652/0869-4931-2026-80-4-168-172","authors":["Fam S.F."],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-04-28T06:45:19Z","doi":"10.36652/0869-4931-2026-80-4-168-172","addedAt":"2026-08-31T06:39:58.972Z","updatedAt":"2026-08-31T06:39:58.972Z"},{"id":"doi:10.1007/978-981-96-9662-8_4","name":"Physical Layer Security with RIS-Assisted UAV Communication","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-981-96-9662-8_4","authors":["Xiaowei Pang","Weidang Lu","Nan Zhao"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-05-18T14:15:03Z","doi":"10.1007/978-981-96-9662-8_4","addedAt":"2026-08-31T06:39:58.972Z","updatedAt":"2026-08-31T06:39:58.972Z"},{"id":"doi:10.1504/ijvas.2026.10080775","name":"Autonomous navigation and path planning in an unmanned aerial vehicle using model predictive control","source":"crossref","abstract":"","url":"https://doi.org/10.1504/ijvas.2026.10080775","authors":["Amit Yadav","Lava Bhargava"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-08-27T13:00:11Z","doi":"10.1504/ijvas.2026.10080775","addedAt":"2026-08-31T06:39:58.972Z","updatedAt":"2026-08-31T06:39:58.972Z"},{"id":"doi:10.37394/232030.2026.5.2","name":"Design and Analysis of Solar-Powered Unmanned Aerial Vehicle for Tropical Countries","source":"crossref","abstract":"As a tropical country, Indonesia has unlimited source of solar energy. This advantage can be used to increase the performance of mini unmanned aerial vehicles (i.e., its endurance or flight time without adding significant mass or increasing the size of the fuel system). Hence, a vehicle is designed to simulate the advantage of using the unlimited available renewable green solar energy together with a comprehensive analysis of the latest advancements in design requirements &amp; objectives (payload, speed, range/endurance), aero-configuration, solar-based power integration, and hybrid energy management strategies for UAVs. Key components, including motors, electronic speed controllers (ESCs), propellers, and energy storage systems, are examined alongside emerging technologies such as photovoltaic (PV) materials. Power management techniques, including maximum power point tracking (MPPT) and intelligent energy control algorithms, are also discussed in the context of long-endurance missions. Challenges related to energy density, weight constraints, environmental adaptability, and component integration are highlighted, with insights into potential solutions and future directions. The objectives of this design simulation are to guide the development of efficient, sustainable, and high-endurance UAV platforms leveraging electric-solar hybrid propulsion systems.","url":"https://doi.org/10.37394/232030.2026.5.2","authors":["Prasetyo Edi"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-07-16T06:23:39Z","doi":"10.37394/232030.2026.5.2","addedAt":"2026-08-31T06:39:58.972Z","updatedAt":"2026-08-31T06:39:58.972Z"},{"id":"doi:10.1109/gseact68539.2026.11620426","name":"Machine Learning-Driven Optimization of Unmanned Aerial Vehicle Operations","source":"crossref","abstract":"","url":"https://doi.org/10.1109/gseact68539.2026.11620426","authors":["Sachin Bandewar","Durgesh Nandan"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-08-07T19:13:55Z","doi":"10.1109/gseact68539.2026.11620426","addedAt":"2026-08-31T06:39:58.972Z","updatedAt":"2026-08-31T06:39:58.972Z"},{"id":"doi:10.21495/em2026-25","name":"Design and Energy Management of Electric Fan Motorized (EDF) VTOL Unmanned Aerial Vehicle","source":"crossref","abstract":"","url":"https://doi.org/10.21495/em2026-25","authors":["H.F. Celik","O.E. Vatandas"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-05-13T08:08:20Z","doi":"10.21495/em2026-25","addedAt":"2026-08-31T06:39:58.972Z","updatedAt":"2026-08-31T06:39:58.972Z"},{"id":"doi:10.1016/b978-0-443-45550-6.00014-x","name":"Intelligent transportation monitoring through unmanned aerial vehicle-centric system of systems engineering","source":"crossref","abstract":"","url":"https://doi.org/10.1016/b978-0-443-45550-6.00014-x","authors":["Murat Bakirci"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-07-24T08:29:18Z","doi":"10.1016/b978-0-443-45550-6.00014-x","addedAt":"2026-08-31T06:39:58.972Z","updatedAt":"2026-08-31T06:39:58.972Z"},{"id":"doi:10.25236/ajets.2026.090404","name":"Research on Intelligent Traffic Inspection Applications Based on Unmanned Aerial Vehicle Imaging","source":"crossref","abstract":"","url":"https://doi.org/10.25236/ajets.2026.090404","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-08-27T09:09:32Z","doi":"10.25236/ajets.2026.090404","addedAt":"2026-08-31T06:39:58.972Z","updatedAt":"2026-08-31T06:39:58.972Z"},{"id":"doi:10.1109/iceee69936.2026.11598389","name":"Design of Switched Reluctance Motor for Unmanned Aerial Vehicle Applications","source":"crossref","abstract":"","url":"https://doi.org/10.1109/iceee69936.2026.11598389","authors":["Ulas Duran","Yusuf Yasa"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-07-14T19:39:06Z","doi":"10.1109/iceee69936.2026.11598389","addedAt":"2026-08-31T06:39:58.972Z","updatedAt":"2026-08-31T06:39:58.972Z"},{"id":"doi:10.15302/j-fase-2025662","name":"Time-varying dynamic modeling and trajectory tracking control for variable-load unmanned aerial vehicle","source":"crossref","abstract":"","url":"https://doi.org/10.15302/j-fase-2025662","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-10-14T05:10:11Z","doi":"10.15302/j-fase-2025662","addedAt":"2026-08-31T06:39:58.972Z","updatedAt":"2026-08-31T06:39:58.972Z"},{"id":"doi:10.1007/978-981-95-7840-5_9","name":"Transition Mode Hybrid Control Strategy for Tiltrotor Unmanned Aerial Vehicle","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-981-95-7840-5_9","authors":["Rui Yang","Changping Du","Jiahao Yu","Tianrui Fang","Zean Du","Yiming Shang","Yao Zheng"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-08-04T21:36:49Z","doi":"10.1007/978-981-95-7840-5_9","addedAt":"2026-08-31T06:39:58.972Z","updatedAt":"2026-08-31T06:40:02.531Z"},{"id":"doi:10.1109/ccdc69976.2026.11560583","name":"Hybrid Sliding Mode Tracking Control of Quadrotor Unmanned Aerial Vehicle","source":"crossref","abstract":"","url":"https://doi.org/10.1109/ccdc69976.2026.11560583","authors":["Jun-Ke Wang","Jing-Jing Xiong"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-06-24T19:47:19Z","doi":"10.1109/ccdc69976.2026.11560583","addedAt":"2026-08-31T06:39:58.972Z","updatedAt":"2026-08-31T06:39:58.972Z"},{"id":"doi:10.2139/ssrn.6570017","name":"Floating electrode triboelectric nanogenerators for unmanned aerial vehicle status monitoring","source":"crossref","abstract":"To address challenges in low altitude aircraft condition monitoring, such as traditional sensors&amp;apos; reliance on external power sources, complex wiring, and excessive weight, this paper proposes floating electrode self-powered sensors based on triboelectric nanogenerators (TENGs) and establishes a comprehensive unmanned aerial vehicle (UAV) attitude recognition system. Theoretical and experimental validations confirm the energy harvesting ability and vibration sensing performance. By integrating multidimensional feature engineering with the random forest algorithm, the system achieves high-accuracy recognition of nine UAV flight attitudes. The results demonstrate stable output in wide frequency vibration environments, with the attitude recognition accuracy reaching 99.17% when integrated with machine learning models. This provides an innovative solution for self-powered condition monitoring of low altitude aircraft.","url":"https://doi.org/10.2139/ssrn.6570017","authors":["Hongchun Luo","Yusheng Zheng","Yingxuan Cui","Jiayi Liu","Juxiang Shao","Tao Yang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-04-13T17:45:19Z","doi":"10.2139/ssrn.6570017","addedAt":"2026-08-31T06:39:58.972Z","updatedAt":"2026-08-31T06:39:58.972Z"},{"id":"doi:10.51534/tiha.1943356","name":"Determining the Factors Affecting Competitiveness in Unmanned Aerial Vehicle Trade","source":"crossref","abstract":"Unmanned Aerial Vehicles (UAVs) have the potential to be game-changers on battlefields that have proved, such as the Russo-Ukrainian War and the Second Nagorno-Karabakh War. When investigated from an economic perspective, the UAV industry creates a spillover effect, and thus, many industries can be positively affected and, via international trade, provide decent work and economic growth. The study examines the variables that influence competitiveness in the UAV market. The investigation in this article included two distinct research methodologies. One employed various indexes based on relevant research, while the other utilized a panel econometric model encompassing 20 countries from 2012 to 2022. The findings of our research show the countries that have comparative advantages in product 880220 are Slovakia, Türkiye, New Zealand, Slovenia, the Czech Republic, Italy, Israel, Austria, Germany, and China; in 880230 are France, Switzerland, Canada, Brazil, and Israel. Regarding the results from Model 1, R&amp;D increases, but military expenditure, political stability, and being a NATO member decrease the competitiveness in 880220. Results from Model 2 show that R&amp;D decreased, political stability, and being a NATO member increased competitiveness in 880230. This underscores the importance of our research in stimulating new ideas and discussions in the field.","url":"https://doi.org/10.51534/tiha.1943356","authors":["Erdem Ateş","Üzeyir Aydın"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-07-31T08:30:15Z","doi":"10.51534/tiha.1943356","addedAt":"2026-08-31T06:39:58.972Z","updatedAt":"2026-08-31T06:39:58.972Z"},{"id":"doi:10.64697/iahr-apd2024_p340","name":"Evaluation of Flood Emergency Remote Sensing Monitoring Effectiveness based on Unmanned Aerial Vehicle Swarm","source":"crossref","abstract":"UAV remote sensing technology is widely utilized in urban supervision, flood monitoring, and various other fields. The Key of flood emergency monitoring is to obtain the early warning information of dam leakage in time. Although the UAV swarms can better cope with the adverse weather conditions and collect more comprehensive data information in the flood early warning and monitoring. However, currently the allocation of UAV swarms is mainly based on expert experience, which needs to be allocated well in advance, and it is difficult to effectively control in real time, which affects the operation efficiency of UAV. In this paper, a UAV swarms efficiency evaluation method is proposed, which concentrates on two indices of task completion time and data completeness. The above two indices are used as the basis for designing the reward value function of the deep reinforcement learning method, which is used to train the UAV quantity allocation agent. This method integrates the prior knowledge of experts and the autonomous learning of agents, which is well-suited to dynamic changes in the environment and is expected to enhance the efficiency of collaborative monitoring by UAV swarms.","url":"https://doi.org/10.64697/iahr-apd2024_p340","authors":["Yu Zhe","Lu Wenjing"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-08-21T21:33:08Z","doi":"10.64697/iahr-apd2024_p340","addedAt":"2026-08-31T06:39:58.972Z","updatedAt":"2026-08-31T06:39:58.972Z"},{"id":"doi:10.3390/drones10040292","name":"Recent Advances for Generative AI-Enabled Unmanned Aerial Vehicle Systems and Applicable Technologies","source":"crossref","abstract":"Unmanned Aerial Vehicles (UAVs) have been key platforms to perform sensing, analytics and automation across intelligent transportation, construction, smart agriculture, logistics and defense. Generative AI (GenAI) accelerates intelligence of UAVs by creating synthetic data, simulating environments and improving learning with restricted data conditions. When integrated with digital twin and AI frameworks, GenAI enables advanced design, modeling, adaptation and making a decision. In this paper, we survey recent advances for generative AI-enabled UAVs systems and applicable scenarios. Then, we categorize four applicable research branches using generative AI-enabled UAVs for intelligent transportation systems, digital twin and smart infrastructure, smart agriculture, last-mile logistics and delivery.","url":"https://doi.org/10.3390/drones10040292","authors":["Hyunbum Kim"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-04-16T11:35:42Z","doi":"10.3390/drones10040292","addedAt":"2026-08-31T06:39:58.972Z","updatedAt":"2026-08-31T06:39:58.972Z"},{"id":"doi:10.1007/978-981-96-9662-8_6","name":"Energy-Efficient Resource Allocation in RIS-Assisted UAV Communication","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-981-96-9662-8_6","authors":["Muhammad Ammad Awan","Muhammad Kamran","Ayaz Ahmad"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-05-18T14:14:24Z","doi":"10.1007/978-981-96-9662-8_6","addedAt":"2026-08-31T06:39:58.972Z","updatedAt":"2026-08-31T06:39:58.972Z"},{"id":"doi:10.2139/ssrn.7292623","name":"Q-learning-based energy management for fuel cell unmanned aerial vehicle considering multiple air pressure scenarios","source":"crossref","abstract":"Fuel cell hybrid unmanned aerial vehicles are currently being applied in various fields such as environmental surveying and resource transportation, and they have great potential for development. However, the operational performance and efficiency of drones largely depend on whether they can reasonably allocate energy in various environmental parameters. Especially staying in environments with varying air pressures for a long time, the working performance of fuel cells varies greatly. To address the aforementioned issues, a three-dimensional Q-learning (3D-QL) algorithm was proposed for fuel cell energy management, which can allocate the energy output power according to the target parameters in different scenarios. Firstly, a hybrid unmanned aerial vehicle topology framework incorporating fuel cells and lithium batteries was established. Using this hybrid energy framework, the relationship between the working performance of fuel cells and various air pressure parameters is analyzed and calculated. Secondly, the 3D-QL algorithm scheme is introduced into the energy management strategy to achieve the goals of improving work efficiency and economy. Finally, the optimized performance indicators of the proposed method were verified through simulations of different air pressure parameters. Compared with the Q-learning (QL) algorithm, the 3D-QL proposed in this paper showed an overall performance increase of 34.05% in the 0.5atm scenario, 59.98% in the 0.6atm scenario, 20.21% in the 0.7atm scenario, and 3.43% in the 0.8atm scenario.","url":"https://doi.org/10.2139/ssrn.7292623","authors":["Huan Wu","Yunlong Wang","Yongfu Wang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-08-16T04:43:46Z","doi":"10.2139/ssrn.7292623","addedAt":"2026-08-31T06:39:58.972Z","updatedAt":"2026-08-31T06:39:58.972Z"},{"id":"doi:10.1117/12.3123318","name":"Research on unmanned aerial vehicle exposure risk assessment based on trajectory and speed","source":"crossref","abstract":"","url":"https://doi.org/10.1117/12.3123318","authors":["Yuanwen Chen","Wei Xu","Shuangchao Xu","Zhangying Peng"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-08-28T14:18:07Z","doi":"10.1117/12.3123318","addedAt":"2026-08-31T06:39:58.972Z","updatedAt":"2026-08-31T06:39:58.972Z"},{"id":"doi:10.1504/ijee.2026.10078017","name":"Monitoring in mine land survey by unmanned aerial vehicle oblique photography technology","source":"crossref","abstract":"","url":"https://doi.org/10.1504/ijee.2026.10078017","authors":["Shaoyan You"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-04-28T13:01:21Z","doi":"10.1504/ijee.2026.10078017","addedAt":"2026-08-31T06:39:58.972Z","updatedAt":"2026-08-31T06:39:58.972Z"},{"id":"doi:10.30970/eli.33.10","name":"ENTROPY-GUIDED TRACKER SWITCHING METHOD FOR UNMANNED AERIAL VEHICLE REAL-TIME TRACKING","source":"crossref","abstract":"","url":"https://doi.org/10.30970/eli.33.10","authors":["Volodymyr Oleksiuk","Serhiy Velhosh"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-04-02T19:29:37Z","doi":"10.30970/eli.33.10","addedAt":"2026-08-31T06:39:58.972Z","updatedAt":"2026-08-31T06:39:58.972Z"},{"id":"doi:10.1109/smartindustrycon68821.2026.11492860","name":"Intelligent Analysis of Urban Green Zones Based on Unmanned Aerial Vehicle Data","source":"crossref","abstract":"","url":"https://doi.org/10.1109/smartindustrycon68821.2026.11492860","authors":["Ravshan Shirinboyev","Shavkat Akhralov","Asror Ulashev"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-04-27T19:47:39Z","doi":"10.1109/smartindustrycon68821.2026.11492860","addedAt":"2026-08-31T06:39:58.972Z","updatedAt":"2026-08-31T06:39:58.972Z"},{"id":"doi:10.1109/ccdc69976.2026.11559964","name":"Hybrid Multi-Target 3D Path Planning Algorithm for Unmanned Aerial Vehicle","source":"crossref","abstract":"","url":"https://doi.org/10.1109/ccdc69976.2026.11559964","authors":["Kui Liu","Qingbo Geng","Fengqing Xian"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-06-24T19:47:19Z","doi":"10.1109/ccdc69976.2026.11559964","addedAt":"2026-08-31T06:39:58.972Z","updatedAt":"2026-08-31T06:39:58.972Z"},{"id":"doi:10.1007/s42401-026-00463-4","name":"Path search planning for unmanned aerial vehicle clusters in communication interference environments","source":"crossref","abstract":"","url":"https://doi.org/10.1007/s42401-026-00463-4","authors":["Haoyang Li","Xiangke Wang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-04-30T07:02:16Z","doi":"10.1007/s42401-026-00463-4","addedAt":"2026-08-31T06:39:58.972Z","updatedAt":"2026-08-31T06:39:58.972Z"},{"id":"doi:10.1007/978-981-96-9662-8_3","name":"Reflection Co-efficient Optimization for Sum-Rate Enhancement in RIS-Assisted UAV Communications","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-981-96-9662-8_3","authors":["Maham Misbah","Zeeshan Kaleem"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-05-18T14:14:54Z","doi":"10.1007/978-981-96-9662-8_3","addedAt":"2026-08-31T06:39:58.972Z","updatedAt":"2026-08-31T06:39:58.972Z"},{"id":"doi:10.1109/etai68332.2026.11485174","name":"Lightweight Object Detection and Guidance Control Method for Unmanned Aerial Vehicle Vision Landing","source":"crossref","abstract":"","url":"https://doi.org/10.1109/etai68332.2026.11485174","authors":["Shijia Xiao"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-05-01T19:51:20Z","doi":"10.1109/etai68332.2026.11485174","addedAt":"2026-08-31T06:39:58.972Z","updatedAt":"2026-08-31T06:39:58.972Z"},{"id":"doi:10.1109/icnlp69856.2026.11527608","name":"GSTA with Federated Learning: A Novel Anomaly Traffic Detection Scheme in Unmanned Aerial Vehicle Networks","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icnlp69856.2026.11527608","authors":["Xueyi Zhang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-05-26T19:39:36Z","doi":"10.1109/icnlp69856.2026.11527608","addedAt":"2026-08-31T06:39:58.972Z","updatedAt":"2026-08-31T06:39:58.972Z"},{"id":"doi:10.3390/drones10070548","name":"Graph Neural Network-Enabled Intelligence for Unmanned Aerial Vehicle Systems: A Comprehensive Review","source":"crossref","abstract":"Coordinating multiple unmanned aerial vehicles (UAVs) at scale remains challenging through centralized control or fixed rule sets, particularly when vehicles must operate under intermittent communication links, incomplete observability, and constrained onboard computational resources. Graph Neural Networks (GNNs) have emerged as a promising framework for addressing these challenges; however, existing surveys do not systematically relate GNN architectural decisions to the operational constraints imposed by UAV platforms during deployment. This survey reviews 196 scholarly studies published between 1987 and 2026 to develop such a framework. A GNN architecture and deployment taxonomy is organized into six major categories—Convolutional, Attentional, Sampling-Based, Spatio-Temporal, Distributed, and Resource-Efficient—each examined through dedicated architectural subsections and evaluated in the context of UAV system constraints. Four primary application domains are examined: multi-UAV trajectory planning, cooperative target tracking, communication-aware network optimization in Flying Ad Hoc Network (FANET) environments, and spatio-temporal airspace traffic prediction. Within these domains, the analysis highlights how architectural choices influence scalability, adaptability to dynamic conditions, and computational efficiency. Several deployment challenges consistently emerge, including maintaining tractable inference as swarm size increases, adapting graph representations under high mobility, and operating within the limitations of onboard computational resources. Based on these findings, a set of architecture-selection guidelines is derived to support deployment under varying operational conditions. Emerging research directions are also discussed, particularly the integration of GNNs with reinforcement learning, federated edge computing, and next-generation wireless communication systems. Overall, this survey bridges the gap between methodological development and practical deployment, providing a structured foundation for evaluating GNN suitability in real-world multi-UAV environments.","url":"https://doi.org/10.3390/drones10070548","authors":["Rinkuben Patel","Areej Salaymeh"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-07-20T07:54:13Z","doi":"10.3390/drones10070548","addedAt":"2026-08-31T06:39:58.972Z","updatedAt":"2026-08-31T06:39:59.807Z"},{"id":"doi:10.56578/jii040101","name":"Unmanned Aerial Vehicle Selection with Different MCDM Methods in Defense Industry","source":"crossref","abstract":"","url":"https://doi.org/10.56578/jii040101","authors":["Galip Cihan Yalçın"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-01-28T03:52:01Z","doi":"10.56578/jii040101","addedAt":"2026-08-31T06:39:58.972Z","updatedAt":"2026-08-31T06:39:58.972Z"},{"id":"doi:10.1016/j.isci.2026.116700","name":"An enhanced RT-DETR with frequency decoupling and orthogonal regularization for UAV infrared small target detection.","source":"europepmc","abstract":"","url":"https://doi.org/10.1016/j.isci.2026.116700","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.1016/j.isci.2026.116700","addedAt":"2026-08-31T06:39:58.972Z","updatedAt":"2026-08-31T06:40:02.906Z"},{"id":"doi:10.3390/s26165244","name":"Joint UAV Placement and Active IRS Gain Optimization for Covert Communications.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s26165244","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.3390/s26165244","addedAt":"2026-08-31T06:39:58.972Z","updatedAt":"2026-08-31T06:40:02.906Z"},{"id":"doi:10.3390/s26134180","name":"UAV and UFB Detection Capability of an L-Band Long-Range Air Surveillance Radar: Geometric and RCS Constraints for LSS Targets.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s26134180","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.3390/s26134180","addedAt":"2026-08-31T06:39:58.972Z","updatedAt":"2026-08-31T06:40:02.906Z"},{"id":"doi:10.1038/s41598-026-62437-y","name":"Interference-aware optimization of three-tier RIS-enhanced hierarchical aerial computing: integrating terrestrial base stations for persistent 6G IoT coverage.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41598-026-62437-y","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.1038/s41598-026-62437-y","addedAt":"2026-08-31T06:39:58.972Z","updatedAt":"2026-08-31T06:40:02.906Z"},{"id":"doi:10.3390/s26134232","name":"HRL-Det: Hierarchical Reinforcement Learning for Sequential Object Detection in Aerial Imagery.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s26134232","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.3390/s26134232","addedAt":"2026-08-31T06:39:58.972Z","updatedAt":"2026-08-31T06:40:02.906Z"},{"id":"doi:10.3390/s26134105","name":"Holistic End-to-End Congestion Control for SAGIN-Integrated UAV Networks with Seamless Aerial-Terrestrial Integration.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s26134105","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.3390/s26134105","addedAt":"2026-08-31T06:39:58.972Z","updatedAt":"2026-08-31T06:40:02.906Z"},{"id":"doi:10.3390/s26144639","name":"Continuous Tracking and Recognition of Small Objects in Video Streams Based on YOLO and Spatio-Temporal Contextual Memory Networks.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s26144639","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.3390/s26144639","addedAt":"2026-08-31T06:39:58.972Z","updatedAt":"2026-08-31T06:40:02.906Z"},{"id":"doi:10.1016/j.aap.2026.108689","name":"Effects of lane marking restrictions on driving safety of professional drivers at highway merging area in Hong Kong.","source":"europepmc","abstract":"","url":"https://doi.org/10.1016/j.aap.2026.108689","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.1016/j.aap.2026.108689","addedAt":"2026-08-31T06:39:58.972Z","updatedAt":"2026-08-31T06:40:02.906Z"},{"id":"doi:10.3389/fpls.2026.1905545","name":"A dual-branch perception and hybrid attention integrated framework for temporal remote estimation of wheat leaf biomass.","source":"europepmc","abstract":"Introduction Wheat leaf biomass is a key indicator of crop growth, nitrogen status, and yield potential, and its accurate estimation is essential for precision agriculture. Unmanned aerial vehicle (UAV) remote sensing provides multi-stage phenological observations for non-destructive biomass monitoring. However, existing approaches often fail to capture the superimposed temporal patterns inherent to crop phenology, including short-term physiological fluctuations driven by management events and long-term seasonal growth trends, as well as the cumulative causal effects of early-stage conditions on final biomass accumulation. Methods This study proposed a dual-branch perception and hybrid attention integrated framework (DBAFN) for temporal estimation of wheat leaf biomass from UAV multi-temporal observations across key growth stages. Results and discussion Experimental results demonstrated that the DBAFN achieved the best performance, with the coefficient of determination (R²) of 0.87, root mean square error (RMSE) of 38.41 g/m², mean absolute error (MAE) of 27.77 g/m², and relative RMSE (RRMSE) of 17.29%. Overall, the proposed framework provided an effective solution for temporal biomass estimation and demonstrated strong generalization capability, as further validated by independent experiments across different ecological regions and wheat genotypes (R² = 0.816-0.820). Compared with conventional machine learning models, the DBAFN showed consistently higher accuracy and lower prediction error. Multi-source feature analysis indicated that the combination of reflectance, vegetation indices, and canopy height provides the most accurate estimation. Ablation experiments further confirmed the effectiveness of each module in improving model performance. The SHapley Additive exPlanations (SHAP) analysis revealed that the canopy height and key spectral features contribute most to biomass prediction, highlighting the importance of integrating structural and physiological information. This study demonstrates that integrating multi-scale temporal dynamics, hybrid attention mechanisms, and transformer-based dependency modeling significantly improves the reliability of UAV-based biomass estimation. It offers a practical, data-driven pathway for intelligent crop monitoring and precision nitrogen management.","url":"https://doi.org/10.3389/fpls.2026.1905545","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.3389/fpls.2026.1905545","addedAt":"2026-08-31T06:39:58.972Z","updatedAt":"2026-08-31T06:40:02.906Z"},{"id":"doi:10.3390/s26154966","name":"Joint Task Offloading and Resource Allocation with Data Caching in UAV-Aided Mobile Edge Computing Networks for Latency-Sensitive Applications.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s26154966","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.3390/s26154966","addedAt":"2026-08-31T06:39:58.972Z","updatedAt":"2026-08-31T06:40:02.906Z"},{"id":"doi:10.1016/j.dib.2026.113127","name":"A labeled RF signal dataset for UAV detection and classification in the 2.4GHz band under Wifi and Bluetooth coexistence.","source":"europepmc","abstract":"","url":"https://doi.org/10.1016/j.dib.2026.113127","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.1016/j.dib.2026.113127","addedAt":"2026-08-31T06:39:58.972Z","updatedAt":"2026-08-31T06:40:02.906Z"},{"id":"doi:10.1371/journal.pone.0354898","name":"MLE-YOLOv11n: Multi-scale layer aggregation and context-aware feature fusion for insulator defect detection in aerial imagery.","source":"europepmc","abstract":"","url":"https://doi.org/10.1371/journal.pone.0354898","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.1371/journal.pone.0354898","addedAt":"2026-08-31T06:39:58.972Z","updatedAt":"2026-08-31T06:40:02.906Z"},{"id":"doi:10.3390/s26165279","name":"Reliable Transmission Optimization for UAV-Relayed Space-Air-Ground Integrated Vehicular Networks.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s26165279","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.3390/s26165279","addedAt":"2026-08-31T06:39:58.972Z","updatedAt":"2026-08-31T06:40:02.906Z"},{"id":"doi:10.1016/j.aap.2026.108669","name":"A temporal causal deep learning for real-time traffic risk prediction on freeway merging areas.","source":"europepmc","abstract":"","url":"https://doi.org/10.1016/j.aap.2026.108669","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.1016/j.aap.2026.108669","addedAt":"2026-08-31T06:39:58.972Z","updatedAt":"2026-08-31T06:40:02.906Z"},{"id":"doi:10.3390/s26154846","name":"SPA-DETR: An Enhanced RT-DETR with Spatial-Preserving Attention and Adaptive Loss for UAV Spectrogram Signal Detection.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s26154846","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.3390/s26154846","addedAt":"2026-08-31T06:39:58.972Z","updatedAt":"2026-08-31T06:40:02.906Z"},{"id":"doi:10.3390/s26165180","name":"Vision-Assisted UAV Relay Triggering for Proactive Blockage Mitigation in Air-Ground Integrated mmWave V2X Networks.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s26165180","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.3390/s26165180","addedAt":"2026-08-31T06:39:58.972Z","updatedAt":"2026-08-31T06:40:02.906Z"},{"id":"doi:10.24425/pjvs.2026.1268","name":"The ability to detect wild boars with increased body temperature in the natural environment with the use of unmanned aerial vehicles equipped with thermovision in two provinces in Poland.","source":"europepmc","abstract":"","url":"https://doi.org/10.24425/pjvs.2026.1268","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.24425/pjvs.2026.1268","addedAt":"2026-08-31T06:39:58.972Z","updatedAt":"2026-08-31T06:40:02.906Z"},{"id":"doi:10.3389/fpls.2026.1872976","name":"Accurate weed detection in UAV grassland images via intelligent annotation and multi-dimensional network enhancement.","source":"europepmc","abstract":"","url":"https://doi.org/10.3389/fpls.2026.1872976","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.3389/fpls.2026.1872976","addedAt":"2026-08-31T06:39:58.972Z","updatedAt":"2026-08-31T06:40:02.906Z"},{"id":"doi:10.1126/sciadv.aeh8352","name":"Large-scale outdoor 3D trajectory measurements enabled by drone-assisted multicamera tracking.","source":"europepmc","abstract":"","url":"https://doi.org/10.1126/sciadv.aeh8352","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.1126/sciadv.aeh8352","addedAt":"2026-08-31T06:39:58.972Z","updatedAt":"2026-08-31T06:40:02.906Z"},{"id":"doi:10.3389/fpls.2026.1853372","name":"Drought tolerance classification using unmanned aerial systems based on RGB and multispectral data.","source":"europepmc","abstract":"","url":"https://doi.org/10.3389/fpls.2026.1853372","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.3389/fpls.2026.1853372","addedAt":"2026-08-31T06:39:58.972Z","updatedAt":"2026-08-31T06:40:02.906Z"},{"id":"doi:10.1016/j.bios.2026.118987","name":"Three-dimensional helical integration of high-density linear microelectrode arrays and their cross-tissue applications.","source":"europepmc","abstract":"","url":"https://doi.org/10.1016/j.bios.2026.118987","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.1016/j.bios.2026.118987","addedAt":"2026-08-31T06:39:58.972Z","updatedAt":"2026-08-31T06:40:02.906Z"},{"id":"doi:10.3390/s26154798","name":"Revisiting Stereo Triangulation in UAV Distance Estimation.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s26154798","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.3390/s26154798","addedAt":"2026-08-31T06:39:58.972Z","updatedAt":"2026-08-31T06:40:08.030Z"},{"id":"doi:10.1038/s41597-026-07774-3","name":"A comprehensive dataset of Halyomorpha halys for automated detection and monitoring in orchards.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41597-026-07774-3","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.1038/s41597-026-07774-3","addedAt":"2026-08-31T06:39:58.972Z","updatedAt":"2026-08-31T06:40:02.906Z"},{"id":"doi:10.1109/tcyb.2026.3715463","name":"Model-Free Adaptive Formation-Containment Control for UAV-UGV Systems Under Fading Channels.","source":"europepmc","abstract":"","url":"https://doi.org/10.1109/tcyb.2026.3715463","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.1109/tcyb.2026.3715463","addedAt":"2026-08-31T06:39:58.972Z","updatedAt":"2026-08-31T06:40:02.906Z"},{"id":"doi:10.1016/j.isatra.2026.03.013","name":"Bounded-acceleration impact time control guidance based on look-angle shaping.","source":"europepmc","abstract":"","url":"https://doi.org/10.1016/j.isatra.2026.03.013","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.1016/j.isatra.2026.03.013","addedAt":"2026-08-31T06:39:58.972Z","updatedAt":"2026-08-31T06:40:02.906Z"},{"id":"doi:10.3390/plants15142201","name":"A Thermal Infrared Remote Sensing Model for Diagnosing Winter Wheat Water (&lt;i&gt;Triticum aestivum&lt;/i&gt; L.) Stress by Integrating Angular Effects and Kernel-Driven Models.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/plants15142201","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.3390/plants15142201","addedAt":"2026-08-31T06:39:58.972Z","updatedAt":"2026-08-31T06:40:02.906Z"},{"id":"doi:10.3390/biomimetics11070513","name":"Wolf-Pack-Inspired Distributed Encirclement for UAV-USV Systems via Visual Connectivity Preservation.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/biomimetics11070513","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.3390/biomimetics11070513","addedAt":"2026-08-31T06:39:58.972Z","updatedAt":"2026-08-31T06:40:02.906Z"},{"id":"doi:10.3390/s26144535","name":"Research on Live Working Robots for 10 KV Distribution Networks Adopting Four-Dimensional Safety Guarantee Framework.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s26144535","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.3390/s26144535","addedAt":"2026-08-31T06:39:58.972Z","updatedAt":"2026-08-31T06:40:02.906Z"},{"id":"doi:10.1038/s41598-026-55677-5","name":"The effect of rotor airflow from plant protection UAV on pesticide application in rice.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41598-026-55677-5","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.1038/s41598-026-55677-5","addedAt":"2026-08-31T06:39:58.972Z","updatedAt":"2026-08-31T06:40:02.906Z"},{"id":"doi:10.1364/ol.605490","name":"Real-time optical wireless communication between an underwater moving ROV and a tracking UAV.","source":"europepmc","abstract":"","url":"https://doi.org/10.1364/ol.605490","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.1364/ol.605490","addedAt":"2026-08-31T06:39:58.972Z","updatedAt":"2026-08-31T06:40:02.906Z"},{"id":"doi:10.3390/s26165037","name":"LFC-YOLO: A Lightweight Feature-Complementary YOLO Framework for Small Object Detection in UAV-Based Visual Sensing.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s26165037","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.3390/s26165037","addedAt":"2026-08-31T06:39:58.972Z","updatedAt":"2026-08-31T06:40:02.906Z"},{"id":"doi:10.1371/journal.pone.0346824","name":"Research on trajectory tracking control of tracked vehicles based on hydraulic motor system identification and Laguerre-MPC.","source":"europepmc","abstract":"","url":"https://doi.org/10.1371/journal.pone.0346824","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.1371/journal.pone.0346824","addedAt":"2026-08-31T06:39:58.972Z","updatedAt":"2026-08-31T06:40:02.906Z"},{"id":"doi:10.1016/j.watres.2026.126060","name":"UAV-based hyperspectral imaging and deep learning for mapping fouling-related water quality indicators in seawater desalination during HABs.","source":"europepmc","abstract":"","url":"https://doi.org/10.1016/j.watres.2026.126060","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.1016/j.watres.2026.126060","addedAt":"2026-08-31T06:39:58.972Z","updatedAt":"2026-08-31T06:40:02.906Z"},{"id":"doi:10.1038/s41598-026-62427-0","name":"Sensing information-assisted superimposed pilot-based channel estimation for UAV communication systems.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41598-026-62427-0","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.1038/s41598-026-62427-0","addedAt":"2026-08-31T06:39:58.972Z","updatedAt":"2026-08-31T06:40:02.906Z"},{"id":"doi:10.1080/15389588.2026.2709031","name":"Analysis of factors affecting the severity of conflicts between right-turning heavy vehicles and non-motorized vehicles at road intersections.","source":"europepmc","abstract":"","url":"https://doi.org/10.1080/15389588.2026.2709031","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.1080/15389588.2026.2709031","addedAt":"2026-08-31T06:39:58.973Z","updatedAt":"2026-08-31T06:40:02.906Z"},{"id":"doi:10.1016/j.isatra.2026.06.046","name":"Data-driven trajectory tracking control of UAV systems under a novel probability-selection event-triggered mechanism.","source":"europepmc","abstract":"","url":"https://doi.org/10.1016/j.isatra.2026.06.046","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.1016/j.isatra.2026.06.046","addedAt":"2026-08-31T06:39:58.973Z","updatedAt":"2026-08-31T06:40:02.906Z"},{"id":"doi:10.1038/s41598-026-48920-6","name":"An adaptive confidence-driven framework for real-time lidar and visual data fusion in autonomous aerial vehicle landing site assessment.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41598-026-48920-6","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.1038/s41598-026-48920-6","addedAt":"2026-08-31T06:39:58.973Z","updatedAt":"2026-08-31T06:40:02.906Z"},{"id":"doi:10.3390/ma19122548","name":"Endurance-Oriented Model Predictive Energy Management for a Proton Exchange Membrane Fuel Cell-Battery Hybrid Quadcopter Under Dynamic Mission Conditions.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/ma19122548","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.3390/ma19122548","addedAt":"2026-08-31T06:39:58.973Z","updatedAt":"2026-08-31T06:40:02.906Z"},{"id":"doi:10.1038/s41598-026-61898-5","name":"Multi-stage feature purification for robust object detection in haze-degraded aerial images.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41598-026-61898-5","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.1038/s41598-026-61898-5","addedAt":"2026-08-31T06:39:58.973Z","updatedAt":"2026-08-31T06:40:02.906Z"},{"id":"doi:10.3390/s26165222","name":"OATrack: A Quality-Gated Progressive Association Framework with a YOLO Detection Cache for UAV Small-Object Multi-Object Tracking.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s26165222","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.3390/s26165222","addedAt":"2026-08-31T06:39:58.973Z","updatedAt":"2026-08-31T06:40:02.906Z"},{"id":"doi:10.3390/s26144496","name":"A Multi-Sensor Machine Learning Framework Integrating UAV Multispectral Imagery and LiDAR Data for Living Biomass Carbon Stock Estimation in Silviculturally Treated Forests.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s26144496","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.3390/s26144496","addedAt":"2026-08-31T06:39:58.973Z","updatedAt":"2026-08-31T06:40:02.906Z"},{"id":"doi:10.1038/s41598-026-54628-4","name":"Deep feature extraction and explanation consistency analysis for fine-grained aircraft type classification in remote sensing imagery.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41598-026-54628-4","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.1038/s41598-026-54628-4","addedAt":"2026-08-31T06:39:58.973Z","updatedAt":"2026-08-31T06:40:02.906Z"},{"id":"doi:10.1038/s41598-026-61673-6","name":"Automatic preprocessing pipeline for individual-plant level (IPL) soybean growth monitoring through UAV multisource imagery.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41598-026-61673-6","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.1038/s41598-026-61673-6","addedAt":"2026-08-31T06:39:58.973Z","updatedAt":"2026-08-31T06:40:02.906Z"},{"id":"doi:10.3791/70787","name":"Pose Estimation of Unmanned Underwater Vehicles Using Augmented Reality Marker-Based Simulations.","source":"europepmc","abstract":"This study presents a simulation-based framework for pose estimation of Unmanned Underwater Vehicles (UUVs) using a monocular vision system within a ROS-Gazebo environment. The RexRov2 UUV model, integrated with ArUco_ROS, is used to detect virtual markers and estimate position and orientation in a simulated underwater setting. A Perspective-n-Point (PnP) method is applied for pose estimation, and a proportional-integral-derivative (PID) controller regulates vehicle motion based on marker-derived features. The system is evaluated by comparing estimated poses with ground-truth odometry obtained from the simulator. Under nominal conditions, the results demonstrate stable pose estimation with close agreement between estimated and true positions and orientations. The system maintains smooth trajectory tracking with minimal fluctuations, indicating reliable performance in controlled environments. Under increased hydrodynamic disturbances, however, the system exhibits deviations in position and orientation, leading to instability in tracking performance. These results highlight the limitations of classical PID control in nonlinear underwater environments and suggest the need for more robust control strategies. Overall, the proposed framework provides a safe, flexible, and cost-effective platform for testing underwater navigation algorithms and evaluating perception-control integration in simulated environments.","url":"https://doi.org/10.3791/70787","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.3791/70787","addedAt":"2026-08-31T06:39:58.973Z","updatedAt":"2026-08-31T06:40:02.906Z"},{"id":"doi:10.3791/70523","name":"Semi-Automated Method for Mapping and Classifying Boreal Coastal Wetland Plant Communities using Drone and Ground Data.","source":"europepmc","abstract":"","url":"https://doi.org/10.3791/70523","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.3791/70523","addedAt":"2026-08-31T06:39:58.973Z","updatedAt":"2026-08-31T06:40:02.906Z"},{"id":"doi:10.13287/j.1001-9332.202603.005","name":"[Monitoring aboveground biomass in &lt;i&gt;Larix olgensis&lt;/i&gt; plantations using bi-temporal unmanned aerial vehicle laser scanning data].","source":"europepmc","abstract":"","url":"https://doi.org/10.13287/j.1001-9332.202603.005","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.13287/j.1001-9332.202603.005","addedAt":"2026-08-31T06:39:58.973Z","updatedAt":"2026-08-31T06:40:02.906Z"},{"id":"doi:10.3390/s26165253","name":"Airborne Warning System Direction-Finding Based on Real-Time SNR Correction.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s26165253","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.3390/s26165253","addedAt":"2026-08-31T06:39:58.973Z","updatedAt":"2026-08-31T06:40:02.906Z"},{"id":"doi:10.3390/s26165075","name":"Joint Beamforming and Trajectory Optimization Algorithm for RSMA-UAV-Enabled Integrated Sensing and Communication System.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s26165075","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.3390/s26165075","addedAt":"2026-08-31T06:39:58.973Z","updatedAt":"2026-08-31T06:40:02.906Z"},{"id":"doi:10.3390/s26165247","name":"Infrared-Depth Drogue Target Detection via Frequency-Domain Enhancement and Decoupled Gated Fusion.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s26165247","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.3390/s26165247","addedAt":"2026-08-31T06:39:58.973Z","updatedAt":"2026-08-31T06:40:02.906Z"},{"id":"doi:10.3390/s26165064","name":"Design and Performance Validation of a High-Voltage Controller for MFC Piezoelectric Sensing and Actuation.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s26165064","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.3390/s26165064","addedAt":"2026-08-31T06:39:58.973Z","updatedAt":"2026-08-31T06:40:02.906Z"},{"id":"doi:10.3390/s26123945","name":"Estimation of Seaweed Biomass in Shallow Coastal Waters Using UAV Bathymetric LiDAR and Automated 3D Point Cloud Segmentation.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s26123945","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.3390/s26123945","addedAt":"2026-08-31T06:39:58.973Z","updatedAt":"2026-08-31T06:40:02.906Z"},{"id":"doi:10.1038/s41598-026-58468-0","name":"Experimental and numerical study of a finlet-like biomimetic structure-integrated propeller.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41598-026-58468-0","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.1038/s41598-026-58468-0","addedAt":"2026-08-31T06:39:58.973Z","updatedAt":"2026-08-31T06:40:02.906Z"},{"id":"doi:10.3390/s26144479","name":"Visual-Attention-Based Neighbor Selection for Artificial-Potential-Field UAV Formation Control.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s26144479","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.3390/s26144479","addedAt":"2026-08-31T06:39:58.973Z","updatedAt":"2026-08-31T06:40:02.906Z"},{"id":"doi:10.1016/j.jenvman.2026.130179","name":"Fine-scale drivers of plateau pika burrow distribution: Integrating UAV deep learning and GAMM to reveal topography-vegetation interactions.","source":"europepmc","abstract":"","url":"https://doi.org/10.1016/j.jenvman.2026.130179","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.1016/j.jenvman.2026.130179","addedAt":"2026-08-31T06:39:58.973Z","updatedAt":"2026-08-31T06:40:02.906Z"},{"id":"doi:10.3390/s26154975","name":"Lightweight Multispectral Detection and DEM-Constrained Ray Consistency Localization for UAV-Assisted Search and Rescue.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s26154975","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.3390/s26154975","addedAt":"2026-08-31T06:39:58.973Z","updatedAt":"2026-08-31T06:40:02.906Z"},{"id":"doi:10.3389/fpls.2026.1904959","name":"Editorial: Plant phenotyping for agriculture.","source":"europepmc","abstract":"Modern agriculture operates at an unprecedented crossroads, it must simultaneously accelerate crop yields to feed an expanding global population and adapt to the severe, fluctuating pressures of climate change, structural soil degradation, abiotic water deficits, and evolving biological threats. Historically, selecting resilient crop varieties and implementing field-scale management strategies relied extensively on destructive, labor-intensive, and fundamentally subjective visual metrics. This manual processing approach has long been recognized as the primary operational bottleneck in agricultural advancement.To bridge the gap between rapidly expanding genomic data and actual field performance, the systematic, non-destructive quantification of structural and functional plant traits, plant phenotyping, has emerged as a transformative frontier. By integrating high-throughput engineering, multi-scale remote sensing, deep learning, and advanced molecular biology, modern phenotyping transitions crop science away from qualitative estimation toward highly reproducible, multidimensional data frameworks. This Research Topic presents new advances in advanced 3D reconstruction and deep semantic segmentation at the seedling stage; amodal fruit segmentation, morphological extraction, and early water-stress diagnostics; high-throughput in-field seedling counting and dynamic density modeling; multimodal foundation models, network pruning, and intelligent phytoprotection; aerial and spaceborne remote sensing for canopy analysis and weed monitoring; plant physiology, functional spectroscopy, and functional genomics under abiotic stress; and automated diagnostics for real-time orchard scouting and vineyard management.Automating the characterization of complex spatial layouts under controlled or greenhouse environments is essential for early variety selection and early-stage structural evaluation. Several contributions within this volume provide key breakthroughs in navigating overlapping tissues, severe occlusions, and low-contrast edge regions. showcases how substituting standard convolutions with deformable convolutions enables deep neural networks to accurately isolate the main stem of mature, high-density crops like soybeans. This architecture overcomes the traditional challenges of color mimicry and severe occlusion by pods and leaves, achieving an outstanding mIoU of 90.58% and providing reliable indices for lodging resistance and structural yield modeling (R 2 = 0.9746).Accurately extracting fruit morphology under commercial greenhouse conditions remains heavily constrained by overlapping crop structures, foliage cover, and variable shadows. Simple semantic masks typically fail when a target fruit is partially blocked, leading to a loss of key volumetric data.To resolve the challenge of hidden boundaries, Li, Yin, et al. (2025) developed CGA-ASNet, a specialized RGB-D amodal segmentation network driven by a Contextual and Global Attention (CGA) module designed to restore occluded tomato regions. Trained on a high-fidelity synthetic greenhouse dataset (Tomato-sim) generated via NVIDIA Isaac Sim's Replicator Composer and optimized with a mean coordinate fusion algorithm for real-world validation, this architecture expands the network's receptive field to predict the complete, hidden circular forms of occluded tomatoes, achieving an F@0.75 score of 94.2 and an amodal mIoU of 82.4%. This proves that simulation-to-real (Sim2Real) domain pathways can successfully decode full physical volumes under dense commercial canopies.Complementing this structural restoration, Yang, Li, et al. (2025) designed an integrated diagnostic framework to identify early water stress dynamics in greenhouse tomatoes. Built upon an optimized YOLOv11n core, their system integrates adaptive kernel convolutions (AKConv) into the network backbone's C3k2 modules and implements a recalibration feature pyramid detection head based on the specialized P2 small-target layer. This combination achieved a 5.4% increase in mAP50-95 for identifying fine phenotypic parts. By applying automated geometric analysis to the extracted bounding boxes, the system extracts plant heights and petiole count with low relative errors, feeding these phenotypic parameters into a Random Forest classification routine that flags water-stressed plants with 98% accuracy to guide targeted, automated drip irrigation.Accurate plant stands during early vegetative stages represent the foundational metric required to establish true field emergence rates, validate seed vigor across diverse breeding blocks, and perform early yield predictions.To solve the challenges of small targets, extreme spatial density, and adjacent leaf overlap, Zang et al. (2025) designed DM_IOC_fpn, a wheat seedling counting framework that balances local and global contextual features. By structuring a point-annotated dataset and embedding a densityenhanced encoder module, their network balances micro-scale spatial limits with macro-scale canopy structures. Optimized through a combined loss function tracking counting, classification, and regression parameters, this architecture achieved low error scores (RMSE = 2.91; MAE = 2.23), outperforming standard object-detection benchmarks in complex field environments.At the same time, scaling up to real-time aerial monitoring required major reductions in model complexity to support resource-constrained edge computers on autonomous aerial platforms. Feng, Nie, and Li (2025) engineered an ultra-lightweight YOLOv8n variant tailored for real-time maize seedling counting from high-speed UAV RGB overflights. By reparametrizing RepConv with HGNetV2, they constructed a lean Rep_HGNetV2 backbone, integrated a Bidirectional Feature Pyramid Network (BiFPN) for multi-scale feature alignment, and implemented a Task Dynamically Aligned Detection Head (TDADH). This architecture compressed total model parameters by 47% and reduced weight sizes to 3.5 MB while maintaining a 96.5% detection accuracy and an ultra-fast processing speed of 146.3 FPS, paving the way for low-cost, real-time field scouting.Automated phytoprotection requires machine-vision architectures capable of generalizing across highly diverse species, complex field conditions, and varying computational boundaries. A significant subset of the published papers addresses these challenges through foundation model adaptation, multi-modal alignment, and efficient network compression.A major paradigm shift presented in this collection involves moving away from task-specific training and toward foundation model adaptation. Chen, Ruan, et al. (2026) introduce a novel architecture integrating the DinoV3 foundation model with a Unet framework to achieve robust leaf lesion segmentation across diverse species (such as coffee and black gram). By incorporating a Spatial Prior Module (SPM), their approach surpassed standard benchmark networks by over 10.5% in IoU while reducing inference times by approximately 93.6%, demonstrating that highparameter foundation models can be highly optimized for resource-constrained edge devices in real-time scouting.To solve the perennial problem of limited training data for rare or emerging crop diseases, Cooper et al. ( 2026) developed an ingenious synthetic data generation pipeline. Combining 3D procedural leaf modeling in Blender with diffusion-based disease synthesis (Stable Diffusion fine-tuned with LoRA and ControlNet), they synthesized highly accurate plant disease images with perfect groundtruth annotation masks. When deployed in low-resource data settings, combining these synthetic pipelines with restricted real-world datasets consistently drives significant improvements in downstream segmentation tasks. To tackle specific, complex pathologies, Xu, Chang, et al. (2025) developed the TSSC deep learning model, which embeds three-neighbor channel attention paired with a complementary squeeze-and-excitation mechanism. This specific architecture minimizes structural degradation risks while pushing classification accuracy to 99.61% for highly complex pea leaf pathologies. Similarly, Feng, Liu, et al. (2025) tackled overlapping leaf occlusions and small lesion footprints in citrus groves with YOLO-Citrus, an optimized framework integrating C3K2-STA, ADown modules, and a Wise-Inner-MPDIoU loss function to strike a balance between edge computational constraints and field deployment.UAVs and high-resolution satellite imagery have expanded the operational scale of phenotyping from individual pots to vast breeding blocks and commercial fields, allowing researchers to capture macro-dynamic parameters over time.In complex canopy systems that defy standard top-down aerial sensing, such as single-staked white Guinea yams, Iseki et al. (2026) demonstrated the distinct advantage of utilizing multi-angle (combined nadir and oblique) UAV imaging configurations. When coupled with support vector regression, this method captures complementary canopy-structure information to model shoot biomass trajectories (R 2 = 0.79) across multiple years and management zones. These nondestructive, time-series datasets enabled the fitting of genotype-specific Richard's growth curves using Bayesian inference, isolating valuable genetic variations in early growth allocation.To capture full-season vertical physiological changes over large scales, Li, Yue, and Luo (2025) developed a hybrid CNN-LSTM-Attention (CLA) model designed to estimate the full-period Leaf Area Index (LAI) in rice using multi-temporal UAV multispectral imagery. By using the CNN layer to extract instantaneous spatial features, the LSTM block to process seasonal time-series intervals, and a self-attention mechanism to weight critical growth transitions, their platform achieved a high coefficient of determination (R 2 = 0.92) and kept relative root mean square errors (RRMSE) below 9%. This network minimized soil background noise during early vegetative stages (LAI values 1-3), outperforming standard machine learning benchmarks (SVR, PLSR, and XGBoost).In precision weed management, tracking weed patches over time is critical for site-specific weed management (SSWM) to phase out uniform blanket herbicide spraying. Rosle et al. (2025) engineered a deep learning change-detection architecture using a Deep Feedforward Neural Network (DFNN) to perform automated post-classification comparisons of broadleaved weed infestations in rice fields over multiple drone flights. Their temporal maps tracked weed expansion from 40.95% at 34 days after sowing (DAS) to 47.43% at 48 DAS in untreated control plots. This precise spatial monitoring revealed a strong negative correlation (R 2 = 0.9487) between weed coverage and herbicide-saving potential, confirming that early targeted drone scouting can save up to 40.95% in herbicide volume.UAV multispectral analytics also proved highly effective at suppressing severe background interference (soil, drip-irrigation lines, and senescent leaves) during post-defoliant crop evaluations. In cotton breeding trials, Chen, Yin, et al. (2026) proposed a UAV multispectral workflow for single-boll weight (SBW) estimation. By coupling object-based maximum likelihood classification for lint extraction with neural network regressions, their method effectively suppressed mixed-pixel background noise, achieving a validation coefficient of determination (R 2 ) of 0.80 across diverse planting densities and cotton varieties.Additionally, visible-light UAV semantic segmentation was applied to challenging environments like coastal or depleted margins. Wang, Cao, et al. (2026) leveraged high-resolution visible imagery enriched with Self-Attention (SE) channel mechanisms to monitor Kenaf seedlings in saline-alkali soils. Achieving a high-precision canopy coverage segmentation (85.99% IoU), this automated method streamlined the field selection of stress-tolerant materials under commercial field conditions.To resolve generalizability constraints when deploying historical field diagnostics to entirely new growing environments, Zhou et al. (2025) evaluated multi-source domain adaptation techniques using long-term UAV imagery of soybean breeding trials. Their work demonstrated that pretraining combined with target fine-tuning accurately isolates physiological maturity dates (R8 stage), achieving high agreement with ground-truth ratings (R 2 = 0.74 to 0.79) and bounding root mean square errors below 2 days, proving that historical training datasets can be effectively transferred to unseen environments. On a regional scale, the integration of spaceborne data was validated for macro-scale nutrient optimization. Morales-Ona et al. (2026) conducted field-scale evaluations of 3-m resolution PlanetScope satellite imagery to guide in-season precision nitrogen (N) management in corn across varying tillage and residue conditions. By examining the relationship between 16 distinct vegetation indices and true grain yield during critical vegetative windows (V10-V11), they established precise methods for estimating the Agronomic Optimum Nitrogen Rate (AONRVI), while highlighting how high crop residue can suppress spectral sensitivity, underscoring the absolute necessity of integrating localized agronomic context into satellite-driven diagnostic models.Bridging the gap between an organism's physical form, its physiological parameters, and its immediate micro-environment is a recurring theme across this Research Topic, emphasizing climate-resilient crop architecture and diagnostic spectroscopy under abiotic constraints.Investigating heat stress mitigation in cereal breeding, Ruz-Ruiz et al. (2026) designed a highthroughput spectroradiometer phenotyping method to measure canopy albedo in wheat genotypes at the critical flowering stage. Their study revealed significant genotypic variations in canopy albedo under warm conditions, showing a direct relationship with canopy architecture and light interception (r = 0.74). While higher albedo was not linked to lower internal canopy temperatures, it significantly influenced the air temperature gradients across the vertical canopy profile, marking albedo as a valuable, additive structural trait for heat avoidance breeding in warming climate scenarios.In precision weed management, advanced digital phenotyping platforms were thoroughly validated for pre-emergence herbicide dose-response assays. Landau et al. (2026) evaluated the non-destructive digital phenotyping system Phenospex TraitFinder to generate dose-response curves for common lambsquarters (Chenopodium album L.). Their work demonstrated that nondestructive Digital Biomass (DB) and 3D leaf area metrics generate growth-reduction curves (GR50) that are statistically equivalent to traditional, destructive fresh biomass measurements, allowing researchers to dramatically accelerate trial turnaround times while preserving valuable, herbicide-resistant biotypes.Addressing specific nutrient management challenges in degraded landscapes, Khdery et al. (2025) integrated canopy hyperspectral reflectance with biochemical profiling to assess faba bean responses to varying foliar Zinc concentrations in sandy soils. Their results showed that optimal Zn enrichment (2.0g L -1 ) sharpens the red-edge slope (700-750 nm) and elevates near-infrared reflectance, offering a robust non-destructive diagnosis framework that links structural tissue responses directly to precision micronutrient interventions.On a multi-modal level, Liang et al. (2026) pushed the boundaries of non-destructive stress screening by introducing Mm-VitnNet, a gated image-text interaction network designed to classify salt tolerance across 178 soybean varieties. By coupling chlorophyll fluorescence imaging phenotypes with textual parameter scripts through a learnable token mechanism, this network achieved an accuracy of 98.97%, demonstrating that cross-modal data alignment can mitigate inter-modality interference while conserving computational expenses (1.84 G FLOPs).To tie these macroscopic phenotypic traits back to underlying genetic mechanisms, Chen, Chen, et al. (2025) deployed long-term environmental phenotyping across a population of chromosome segment substitution lines (CSSLs) derived from Glycine soja and Glycine max. Across three unique environments, they mapped 130 quantitative trait loci (QTLs) governing vegetative growth intervals and reproductive yield metrics. This functional analysis isolated a critical target gene, GmFTIP09 within the Chr09-cluster-1 locus. Knockout mutants of Gmftip09 exhibited severe delays in both initial flowering (R1) and final crop maturity (R8), alongside substantial reductions in 100-seed weight (SW), confirming that this gene was a primary target of selection during modern crop domestication and providing a precise molecular target for marker-assisted breeding.Precision fruit tree cultivation requires robust identification mechanisms under dense canopy shade, erratic lighting conditions, and severe structural occlusions.To address scientific thinning requirements in orchards, Ji et al. (2026) developed the MDI-YOLOv11 architecture for the real-time detection and density estimation of peach tree inflorescences. By incorporating an RFCAConv module into the network backbone and embedding a P2 layer with a RepGFPN structure, their platform successfully navigated highdensity flower and bud occlusions, securing an AP50 of 0.919 with a rapid processing inference time of 13.46 ms per frame, and automatically generated row-by-row density distribution maps to guide targeted orchard interventions.MVDNet alongside a post-processing algorithm for in-cluster grape berry counting and cluster segmentation. Their model achieved a high coefficient of determination (R 2 = 0.886) while utilizing only 3.372 million parameters, making it uniquely suited for edge deployment on low-power devices to automate automated berry thinning.Maintaining and tracking the developmental stages throughout the entire life cycle of plants is also a core focus of intelligent greenhouse research. Kim et al. (2025) designed a physiologically grounded pipeline for multi-plant basil environments that monitors the emerging number of leaf pairs at the shoot apex. By pairing top-view camera arrays with YOLO object detection and Kmeans spatial alignment, their regression model achieved a high performance (R 2 = 0.96; MAE = 0.13), enabling automated growth-stage classification above 98% without relying on rigid, errorprone time-based criteria.Completing the continuum from cellular morphogenesis to industrial crop processing and postharvest storage, multiple works focus on final yield architecture, reproductive trait tracking, and automated sorting networks. The future of agricultural sustainability on the and scaling of advanced plant By moving the constraints of subjective data from 3D processing and foundation models to drone and high-resolution satellite provide the required to complex these advanced diagnostic to mature, computational and with they accelerate the selection of climate-resilient and global through intelligent modern plant phenotyping has a for The integration of advanced deep learning, multimodal models, and remote sensing platforms plant into a and highly These for water and nutrient management, disease yield and of of these by and efficient computational be key to resilient and global under conditions.","url":"https://doi.org/10.3389/fpls.2026.1904959","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.3389/fpls.2026.1904959","addedAt":"2026-08-31T06:39:58.973Z","updatedAt":"2026-08-31T06:40:02.906Z"},{"id":"doi:10.3390/e28080919","name":"Information Bottleneck for Communication-Efficient Multi-Agent Reinforcement Learning in UAV Swarms.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/e28080919","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.3390/e28080919","addedAt":"2026-08-31T06:39:58.973Z","updatedAt":"2026-08-31T06:40:08.030Z"},{"id":"doi:10.3390/s26154740","name":"Distributed Closed-Form Multi-UAV Formation Control with Event-Triggered Collision Avoidance and Virtual-Structure Navigation.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s26154740","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.3390/s26154740","addedAt":"2026-08-31T06:39:58.973Z","updatedAt":"2026-08-31T06:40:02.906Z"},{"id":"doi:10.1038/s41598-026-59582-9","name":"A multimodal dual-branch attention-centric YOLOv12 framework for real-time integrated pest and weed detection from UAV imagery in precision agriculture.","source":"europepmc","abstract":"The combination of unmanned aerial vehicle technology and deep learning has revolutionized precision agriculture by facilitating the monitoring of crops using UAVs. The current pest and weed detection methods have limitations in that they use individual neural networks for pest and weed detection, leading to methodological fragmentation. This new framework clearly explains about a new pest and weed detection system dubbed AgriYOLO12-Dual, based on a unified detection framework. The framework employs YOLOv12, the initial YOLO variant to use self-attention as a basic computing unit. The attention-centric YOLOv12 framework system has a dual-branch encoder network that takes RGB and multispectral images from a UAV and passes them separately to a neural network. The outputs of the networks are then combined at a cross-modal fusion point using Area Attention. The attention-centric YOLOv12 framework system has three key innovations. The primary one is the Area Attention mechanism, it has a large receptive field and linear computational cost. The second innovation is the use of Residual Efficient Layer Aggregation Networks (R-ELAN), that allows for the training of large attention models. The third innovation is the use of Flash Attention to reduce memory usage by 38%. The multimodal dual-branch attention-centric YOLOv12 framework was trained on 15,000 annotated images of maize, soybean, and wheat crops at various stages of growth. The results showed that the attention-centric YOLOv12 framework system achieved a weed detection mAP of 90.1% and a pest detection mAP of 93.4%, with an inference time of 28.7 ms on a Jetson Orin device. The small target recall was improved from 67.4% to 79.3%, and the low-light detection mAP was improved from 76.2% to 87.2%. The results of the experiments showed that attention-based models have a significant improvement in pest and weed detection accuracy without additional complexity.","url":"https://doi.org/10.1038/s41598-026-59582-9","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.1038/s41598-026-59582-9","addedAt":"2026-08-31T06:39:58.973Z","updatedAt":"2026-08-31T06:40:02.906Z"},{"id":"doi:10.3390/s26165048","name":"SWIFT-Mamba: A Lightweight State Space Model Toward In Situ Verification of Airborne Wavefront Sensing Signals.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s26165048","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.3390/s26165048","addedAt":"2026-08-31T06:39:58.973Z","updatedAt":"2026-08-31T06:40:02.906Z"},{"id":"doi:10.3390/s26144623","name":"Testbed Design and Performance Emulation for Satellite-Terrestrial Integrated Networks.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s26144623","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.3390/s26144623","addedAt":"2026-08-31T06:39:58.973Z","updatedAt":"2026-08-31T06:40:02.906Z"},{"id":"doi:10.1021/acs.est.6c00632","name":"Mixing State, Morphology, and Chemical Composition of Ship-Emitted Soot Revealed by UAV-Based Plume Observations.","source":"europepmc","abstract":"","url":"https://doi.org/10.1021/acs.est.6c00632","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.1021/acs.est.6c00632","addedAt":"2026-08-31T06:39:58.973Z","updatedAt":"2026-08-31T06:40:02.906Z"},{"id":"doi:10.1364/oe.606406","name":"High-dynamic free-space continuous-variable quantum access networks scheme via optical phased array.","source":"europepmc","abstract":"","url":"https://doi.org/10.1364/oe.606406","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.1364/oe.606406","addedAt":"2026-08-31T06:39:58.973Z","updatedAt":"2026-08-31T06:40:02.906Z"},{"id":"doi:10.1038/s41598-026-42946-6","name":"UAV aerial image-based apparent defect detection method for embankments using an integrated framework of improved YOLOv8 and SAHI.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41598-026-42946-6","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.1038/s41598-026-42946-6","addedAt":"2026-08-31T06:39:58.973Z","updatedAt":"2026-08-31T06:40:02.906Z"},{"id":"doi:10.1038/s41598-026-63811-6","name":"A frequency-saliency guided multi-scale feature fusion network for robust UAV object detection.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41598-026-63811-6","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.1038/s41598-026-63811-6","addedAt":"2026-08-31T06:39:58.973Z","updatedAt":"2026-08-31T06:40:05.993Z"},{"id":"doi:10.1038/s41598-026-51881-5","name":"Attention-enhanced multi-task learning for binary segmentation and fine-grained aquatic plant classification in UAV imagery.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41598-026-51881-5","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.1038/s41598-026-51881-5","addedAt":"2026-08-31T06:39:58.973Z","updatedAt":"2026-08-31T06:40:02.906Z"},{"id":"doi:10.3390/s26165015","name":"Cooperative Monostatic and Bistatic Measurements for Low-Altitude UAV ISAC: System Implementation and Channel Characterization.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s26165015","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.3390/s26165015","addedAt":"2026-08-31T06:39:58.973Z","updatedAt":"2026-08-31T06:40:02.906Z"},{"id":"doi:10.1016/j.isatra.2026.05.014","name":"Robust formation control of heterogeneous UAV-USV multi-agent systems: An actor-critic enhanced hyperbolic sliding mode approach with dynamic event-triggering.","source":"europepmc","abstract":"","url":"https://doi.org/10.1016/j.isatra.2026.05.014","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.1016/j.isatra.2026.05.014","addedAt":"2026-08-31T06:39:58.973Z","updatedAt":"2026-08-31T06:40:02.906Z"},{"id":"doi:10.1016/j.saa.2026.128529","name":"Aboveground biomass estimation and multiscale spatial pattern analysis in desert rangelands using UAV hyperspectral imagery.","source":"europepmc","abstract":"","url":"https://doi.org/10.1016/j.saa.2026.128529","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.1016/j.saa.2026.128529","addedAt":"2026-08-31T06:39:58.973Z","updatedAt":"2026-08-31T06:40:02.906Z"},{"id":"doi:10.1016/j.neunet.2026.109051","name":"Real-time soybean pest detection system integrating UAV and Jetson based on improved YOLO.","source":"europepmc","abstract":"","url":"https://doi.org/10.1016/j.neunet.2026.109051","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.1016/j.neunet.2026.109051","addedAt":"2026-08-31T06:39:58.973Z","updatedAt":"2026-08-31T06:40:02.906Z"},{"id":"doi:10.1038/s41598-026-55239-9","name":"A lightweight remote sensing small-object detection approach with scale-based dynamic loss and efficient multi-scale attention.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41598-026-55239-9","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.1038/s41598-026-55239-9","addedAt":"2026-08-31T06:39:58.973Z","updatedAt":"2026-08-31T06:40:05.993Z"},{"id":"doi:10.1038/s41598-026-63836-x","name":"Real-time HIL validation of a lyapunov-guaranteed optimal FOPID controller for quadrotor UAV trajectory tracking.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41598-026-63836-x","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.1038/s41598-026-63836-x","addedAt":"2026-08-31T06:39:58.973Z","updatedAt":"2026-08-31T06:40:08.030Z"},{"id":"doi:10.3390/s26154716","name":"Acoustic Vector Sensor-Based UAV Sound Source Localization via Covariance Enhancement and Confidence Guidance Tracking.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s26154716","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.3390/s26154716","addedAt":"2026-08-31T06:39:58.973Z","updatedAt":"2026-08-31T06:40:02.906Z"},{"id":"doi:10.1038/s41598-026-61644-x","name":"Low-speed UAV trajectory prediction under short-term data loss: a preliminary feasibility study for vehicle-mounted electro-optical tracking.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41598-026-61644-x","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.1038/s41598-026-61644-x","addedAt":"2026-08-31T06:39:58.973Z","updatedAt":"2026-08-31T06:40:02.906Z"},{"id":"doi:10.1016/j.marenvres.2026.107911","name":"Cost-effective ecological monitoring in shallow waters using amphibious unmanned aerial vehicles (AUAV) and deep learning-based computer vision.","source":"pubmed","abstract":"Traditional marine monitoring techniques, like line intercept transects, are inefficient. Modern methods, including autonomous underwater vehicles (AUVs) and Portable Speedy Sea Scanner (P-SSS), face high costs and labor demands, with limited data quality. This study proposes an amphibious unmanned aerial vehicle (AUAV) integrated with deep learning, enabling both aerial and underwater imaging with real-time GNSS information. The AUAV operates continuously for approximately 30&#xa0;min and achieves high survey efficiency in shallow waters (0.5-10&#xa0;m), providing a practical alternative to conventional underwater survey platforms. YOLOv8 is integrated with the AUAV for underwater litter detection and sea cucumber instance segmentation. For underwater litter detection, YOLOv8 achieved a mean average precision (mAP) of 0.764, representing an absolute improvement of 0.144 (approximately 23.2% relative gain) compared with a previously reported Mask R-CNN benchmark (mAP&#xa0;=&#xa0;0.62). For sea cucumber monitoring, YOLOv8 achieved mAPs of 0.792 for object detection and 0.798 for instance segmentation across two classes, enabling robust pixel-level delineation of individual organisms. Based on the instance segmentation results, pixel-level size estimation of sea cucumbers was achieved by converting skeleton-edge distances into physical dimensions using the mapped spatial resolution (0.21&#xa0;cm), demonstrating the capability of the AUAV-YOLOv8 framework for quantitative and efficient shallow-water ecological monitoring.","url":"https://doi.org/10.1016/j.marenvres.2026.107911","authors":["Zhao F","Wang J","Chen Y","Shao X","Liu Y","Xue F","Sasaki J","Mizuno K"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.1016/j.marenvres.2026.107911","addedAt":"2026-08-31T06:39:58.973Z","updatedAt":"2026-08-31T06:40:02.907Z"},{"id":"doi:10.3389/fpls.2026.1887967","name":"Multi dimensional variable influence mechanism analysis for wheat biomass estimation using fused UAV spectral and canopy height data and machine learning.","source":"europepmc","abstract":"","url":"https://doi.org/10.3389/fpls.2026.1887967","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.3389/fpls.2026.1887967","addedAt":"2026-08-31T06:39:58.973Z","updatedAt":"2026-08-31T06:40:02.906Z"},{"id":"doi:10.3390/s26154785","name":"Assessing the Effectiveness of Frequency Manoeuvring in UAV Networks Under Jamming and Interference.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s26154785","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.3390/s26154785","addedAt":"2026-08-31T06:39:58.973Z","updatedAt":"2026-08-31T06:40:02.906Z"},{"id":"doi:10.3390/s26144385","name":"Integrating Multi-Temporal UAV Thermal Imaging and 3D Path Planning for Facade Thermal Defect Diagnosis in Old Residential Buildings.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s26144385","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.3390/s26144385","addedAt":"2026-08-31T06:39:58.973Z","updatedAt":"2026-08-31T06:40:02.907Z"},{"id":"doi:10.1038/s41598-026-58896-y","name":"EDC-Net for small object detection in UAV imagery using edge-aware dynamic context modeling.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41598-026-58896-y","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.1038/s41598-026-58896-y","addedAt":"2026-08-31T06:39:58.973Z","updatedAt":"2026-08-31T06:40:02.907Z"},{"id":"doi:10.1038/s41598-026-53092-4","name":"UAV-based multispectral imaging and machine learning for detecting and mapping maize leaf diseases in smallholder farms.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41598-026-53092-4","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.1038/s41598-026-53092-4","addedAt":"2026-08-31T06:39:58.973Z","updatedAt":"2026-08-31T06:40:02.907Z"},{"id":"doi:10.1021/acsami.6c11589","name":"Sequentially Stacked Graphene/Carbon Black Langmuir-Blodgett Heterostructures for Pressure-Crosstalk-Suppressed Strain Sensing.","source":"europepmc","abstract":"","url":"https://doi.org/10.1021/acsami.6c11589","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.1021/acsami.6c11589","addedAt":"2026-08-31T06:39:58.973Z","updatedAt":"2026-08-31T06:40:02.907Z"},{"id":"doi:10.1038/s41598-026-52044-2","name":"MamWorld for open-world object detection with state space modeling and cross-modal fusion.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41598-026-52044-2","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.1038/s41598-026-52044-2","addedAt":"2026-08-31T06:39:58.973Z","updatedAt":"2026-08-31T06:40:02.907Z"},{"id":"doi:10.3390/s26144468","name":"Edge CA-CFAR Data Reduction for Bandwidth-Efficient Real-Time Wideband Spectrum Sensing on Low-Cost SDRs.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s26144468","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.3390/s26144468","addedAt":"2026-08-31T06:39:58.973Z","updatedAt":"2026-08-31T06:40:02.907Z"},{"id":"doi:10.1016/j.plaphe.2026.100262","name":"LUF-net: A physically informed color calibration method for UAV RGB images based on exposure and irradiance information.","source":"europepmc","abstract":"","url":"https://doi.org/10.1016/j.plaphe.2026.100262","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.1016/j.plaphe.2026.100262","addedAt":"2026-08-31T06:39:58.973Z","updatedAt":"2026-08-31T06:40:02.907Z"},{"id":"doi:10.3390/s26144655","name":"A Lightweight Vision-Language-Action Policy with Progress-Aware Hybrid Execution for UAV Waypoint Navigation in AirSim.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s26144655","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.3390/s26144655","addedAt":"2026-08-31T06:39:58.973Z","updatedAt":"2026-08-31T06:40:02.907Z"},{"id":"doi:10.1016/j.neunet.2026.109166","name":"HFC-UAVDet: Lightweight small object detection network for UAV with high-frequency perception and cross-layer semantic fusion.","source":"europepmc","abstract":"","url":"https://doi.org/10.1016/j.neunet.2026.109166","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.1016/j.neunet.2026.109166","addedAt":"2026-08-31T06:39:58.973Z","updatedAt":"2026-08-31T06:40:02.907Z"},{"id":"doi:10.13287/j.1001-9332.202601.017","name":"[Inversion of reclaimed soil organic carbon content in mining areas using unmanned aerial vehicle multispectral remote sensing and machine learning].","source":"pubmed","abstract":"The rapid and accurate monitoring of soil organic carbon (SOC) is of great significance for evaluating the quality of reclaimed soils in mining areas. With reclaimed soils from the Xinglongzhuang Coal Mine as the object, we constructed five types of inversion variables based on drone multispectral imagery and sample SOC content: band mathematical transformation groups, traditional spectral index groups, improved spectral index groups, full-variable groups, and groups selected by the improved greedy algorithm (IGA). We further built SOC inversion models with six machine learning algorithms, AdaBoost, backpropagation neural network (BPNN), CatBoost, LightGBM, random forest (RF), and XGBoost. The results showed that: 1) When the improved spectral index group was used as the variable, the accuracy of inversion model was higher than that of the traditional spectral index group. 2) When the IGA-selected variable group was used, the accuracy and stability of the model significantly improved. 3) The LightGBM model using the IGA-selected variable group was the optimal SOC inversion model for reclaimed soils, with a modeling set coefficient of determination ( R 2 ) of 0.825, root mean square error (RMSE) of 0.914, a validation set R 2 of 0.793, and RMSE of 0.945. 4) The inverted SOC content ranged from 7.75 to 13.60 g&#xb7;kg -1 , with an average of 10.48 g&#xb7;kg -1 , which was consistent with the sample SOC measurements. These fin-dings could provide technical support for the planning and implementation of land reclamation in mining areas.","url":"https://doi.org/10.13287/j.1001-9332.202601.017","authors":["Wang ZK","Chen L","Cheng XY","Xia Y","Li XJ","Hu X"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.13287/j.1001-9332.202601.017","addedAt":"2026-08-31T06:39:58.973Z","updatedAt":"2026-08-31T06:40:02.907Z"},{"id":"doi:10.3390/s26144358","name":"Differential-Privacy-Based Collaborative Protection for Visual and Location Data in UAV Semantic Communications.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s26144358","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.3390/s26144358","addedAt":"2026-08-31T06:39:58.973Z","updatedAt":"2026-08-31T06:40:02.907Z"},{"id":"doi:10.1016/j.neunet.2026.109140","name":"An end-to-end dual backbone framework for UAV fish disease detection using optimized GateHCO feature fusion mechanism.","source":"europepmc","abstract":"","url":"https://doi.org/10.1016/j.neunet.2026.109140","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.1016/j.neunet.2026.109140","addedAt":"2026-08-31T06:39:58.973Z","updatedAt":"2026-08-31T06:40:02.907Z"},{"id":"doi:10.1038/s41598-026-45637-4","name":"UAV-based tree species classification using DenseNet121 with transfer learning on visible light images.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41598-026-45637-4","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.1038/s41598-026-45637-4","addedAt":"2026-08-31T06:39:58.973Z","updatedAt":"2026-08-31T06:40:02.907Z"},{"id":"doi:10.1038/s41598-026-54961-8","name":"Constructal theory of aerodynamic design in NACA airfoils for search and rescue UAVs using integrated CFD and ANN approaches.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41598-026-54961-8","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.1038/s41598-026-54961-8","addedAt":"2026-08-31T06:39:58.973Z","updatedAt":"2026-08-31T06:40:02.907Z"},{"id":"doi:10.3390/s26134161","name":"A Lightweight Zero-Trust-Based Authentication Framework for UAV Systems.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s26134161","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.3390/s26134161","addedAt":"2026-08-31T06:39:58.973Z","updatedAt":"2026-08-31T06:40:02.907Z"},{"id":"doi:10.1016/j.envres.2026.125454","name":"Vertical ozone formation mechanisms driven by deep convection within the boundary layer over the Loess Plateau, China.","source":"europepmc","abstract":"","url":"https://doi.org/10.1016/j.envres.2026.125454","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.1016/j.envres.2026.125454","addedAt":"2026-08-31T06:39:58.973Z","updatedAt":"2026-08-31T06:40:02.907Z"},{"id":"doi:10.3390/plants15152382","name":"Dynamic Prediction of Maize Tasseling Stage Based on UAV LiDAR Time-Series Plant Height Growth Curves: A Framework Coupling UAV-CHM-POI.","source":"europepmc","abstract":"Accurate identification and effective prediction of the maize tasseling stage are of great significance for guiding precision field management and ensuring stable crop yields. Conventional manual observation methods suffer from high labor intensity, poor timeliness, and strong subjectivity. In this study, based on an unmanned aerial vehicle (UAV) remote sensing platform, LiDAR point cloud data and RGB imagery were simultaneously acquired to construct digital surface models (DSMs) and digital terrain models (DTMs). Multi-dimensional statistical features were extracted to establish a high-precision plant height estimation method applicable to the entire growth cycle of maize. On this basis, the Logistic growth curve function was introduced to fit the dynamic changes in plant height, enabling the identification and early prediction of the maize tasseling stage based on the plant height growth curve. The research results indicate the following: (1) For maize plant height estimation, the LiDAR sensor outperforms RGB. The optimal accuracy is achieved by combining the 99th percentile of DSM with the minimum DTM, yielding a root mean square error (RMSE) of 0.17 m. (2) Based on the high-accuracy plant height time series, the point of inflection (POI) achieves the highest accuracy in tasseling stage identification, with an RMSE of 2.586 d under the reconstructed time series. (3) Prediction accuracy of the tasseling stage improves with increasing plant height threshold, and optimal performance is observed when the threshold is ≥1.6 m with a growth rate between 0.11 and 0.13. This study establishes a technical framework of \"time-series perception-dynamic simulation-feature identification-early prediction\", providing a scientific basis for automated monitoring and precision management of the maize tasseling stage. It holds significant theoretical and practical value for the advancement of smart agriculture and crop phenotyping research.","url":"https://doi.org/10.3390/plants15152382","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.3390/plants15152382","addedAt":"2026-08-31T06:39:58.973Z","updatedAt":"2026-08-31T06:40:05.993Z"},{"id":"doi:10.1177/00187208261463327","name":"Effects of Task Priority and Difficulty in Multitasking Across Screens.","source":"europepmc","abstract":"","url":"https://doi.org/10.1177/00187208261463327","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.1177/00187208261463327","addedAt":"2026-08-31T06:39:58.973Z","updatedAt":"2026-08-31T06:40:02.907Z"},{"id":"doi:10.3389/fpls.2026.1882618","name":"UAV-based monitoring of fruit-manifested abiotic stress in crops under label scarcity: a case study of blossom-end rot in processing tomatoes.","source":"europepmc","abstract":"","url":"https://doi.org/10.3389/fpls.2026.1882618","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.3389/fpls.2026.1882618","addedAt":"2026-08-31T06:39:58.973Z","updatedAt":"2026-08-31T06:40:02.907Z"},{"id":"doi:10.1016/j.wasman.2026.115468","name":"Facility-wide greenhouse gas and pollutant emissions from covered aerated static pile composting.","source":"europepmc","abstract":"","url":"https://doi.org/10.1016/j.wasman.2026.115468","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.1016/j.wasman.2026.115468","addedAt":"2026-08-31T06:39:58.973Z","updatedAt":"2026-08-31T06:40:02.907Z"},{"id":"doi:10.5281/zenodo.20504507","name":"Ague Cove Thermal Infrared Mapping (May 31, 2026 00:35-00:43)","source":"datacite","abstract":"This dataset was obtained using FLIR Vue TZ20R mounted on DJI Matrice 300 UAV in Ague Cove, Guam on May 31, 2026 from 00:35 to 00:43 (ChST) and includes raw unprocessed (1) thermal infrared images taken at 135 feet above ground level and (2) thermal infrared image taken at 310 feet above ground level, and (3) thermal infrared video recording. Input parameters are as follows: (1) Reflected Temperature: 74.48F; (2) Atmospheric Temperature: 79F; (3) Isotherm Threshold: 82.58F and (4) Emissivity: 0.98.","url":"https://doi.org/10.5281/zenodo.20504507","authors":["Mendiola, Melanie"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.20504507","addedAt":"2026-08-31T06:39:58.973Z","updatedAt":"2026-08-31T06:39:58.973Z"},{"id":"doi:10.5281/zenodo.20504508","name":"Ague Cove Thermal Infrared Mapping (May 31, 2026 00:35-00:43)","source":"datacite","abstract":"This dataset was obtained using FLIR Vue TZ20R mounted on DJI Matrice 300 UAV in Ague Cove, Guam on May 31, 2026 from 00:35 to 00:43 (ChST) and includes raw unprocessed (1) thermal infrared images taken at 135 feet above ground level and (2) thermal infrared image taken at 310 feet above ground level, and (3) thermal infrared video recording. Input parameters are as follows: (1) Reflected Temperature: 74.48F; (2) Atmospheric Temperature: 79F; (3) Isotherm Threshold: 82.58F and (4) Emissivity: 0.98.","url":"https://doi.org/10.5281/zenodo.20504508","authors":["Mendiola, Melanie"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.20504508","addedAt":"2026-08-31T06:39:58.973Z","updatedAt":"2026-08-31T06:39:58.973Z"},{"id":"doi:10.48550/arxiv.2608.12835","name":"AirForesight: Current-to-Future Spatial Map Imagination with Cross-Space Planning Consistency for UAV-VLN","source":"datacite","abstract":"Unmanned Aerial Vehicle Vision-Language Navigation (UAV-VLN) requires agents to follow language instructions, infer spatial structure from sparse multi-view observations, and execute feasible 3D motion in complex outdoor environments. Despite recent progress with large language models, most existing methods still map vision-language inputs directly to actions, providing limited explicit scene grounding and future-aware spatial reasoning. We propose AirForesight, a current-to-future spatial map imagination framework for UAV-VLN. AirForesight first learns a structured current-map representation from multi-view observations. This representation is jointly supervised by current-map reconstruction and future-trajectory prediction, encouraging it to encode both present scene structure and future motion intent. Under structured causal attention, the current spatial knowledge is propagated to future-map reasoning, and the resulting current and future representations are aggregated to predict the next 3D waypoint. To make spatial imagination more relevant to navigation, we introduce a cross-space planning consistency loss that encourages directional agreement between the predicted map-space trajectory and the expert action direction derived from the ground-truth waypoint displacement. Experiments on OpenUAV and AerialVLN-S, together with extensive ablations, demonstrate strong performance and support the effectiveness and stability of the proposed framework.","url":"https://doi.org/10.48550/arxiv.2608.12835","authors":["Liu, Yutong","Li, Xiaojie","Xu, Mingzhu","Wu, Jianlong"],"tags":["Robotics (cs.RO)","FOS: Computer and information sciences"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.48550/arxiv.2608.12835","addedAt":"2026-08-31T06:39:58.973Z","updatedAt":"2026-08-31T06:39:58.973Z"},{"id":"doi:10.48550/arxiv.2608.08895","name":"Latent Semantic State Estimation for Reliable Swarming of UAVs under Intermittent Connectivity","source":"datacite","abstract":"Cooperative multi-unmanned aerial vehicle (UAV) reconnaissance is often hindered by intermittent air-to-air communications where link dropouts lead to uncoordinated exploration and redundant mapping. Existing approaches rely on explicit exchange of high-dimensional spatial data or raw observations, incurring significant overhead, and often revert to reactive individual exploration during outages. This paper proposes a memory-augmented framework in which each UAV maintains a structured latent state decomposed into map, task, and memory components. During dropout, a generative predictor conditioned on the memory state infers substitute peer messages in the latent space, making the estimation task more tractable and directly aligned with the cooperative objective. The framework is trained end-to-end under the centralized training with decentralized execution paradigm. Simulation results demonstrate that the proposed framework closely matches the performance of a fully connected swarm, while remaining robust across a wide range of link failure conditions.","url":"https://doi.org/10.48550/arxiv.2608.08895","authors":["Karakasis, Paris A.","Saad, Walid"],"tags":["Signal Processing (eess.SP)","FOS: Electrical engineering, electronic engineering, information engineering"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.48550/arxiv.2608.08895","addedAt":"2026-08-31T06:39:58.973Z","updatedAt":"2026-08-31T06:40:08.031Z"},{"id":"doi:10.48550/arxiv.2608.05718","name":"Iterative Hybrid Discrete-Continuous Viewpoint Planning for UAV Photogrammetry","source":"datacite","abstract":"Unmanned aerial vehicle (UAV) photogrammetry requires camera networks that provide sufficient surface coverage, image overlap, parallax, and resolution, yet conventional flight patterns are often poorly adapted to scene geometry resulting in local reconstruction errors. This paper proposes an iterative hybrid discrete-continuous viewpoint planning method for targeted UAV photogrammetry from a proxy reconstruction. The method scores sampled surface points using photogrammetric heuristics based on frontality, imaging distance, parallax, and multi-view observation count, while also evaluating the full viewpoint set in terms of visibility, pairwise overlap, and graph connectivity. Candidate viewpoints are generated around weakly observed regions, refined using clustered Covariance matrix adaptation evolution strategy (CMA-ES) optimisation, and removed when redundant. The final flight path combines close-range detail viewpoints with wider model-coverage viewpoints, balancing local reconstruction quality with global image-network robustness. Evaluation on three synthetic scenes shows that the proposed method improves both reconstruction accuracy and completeness compared with prior UAV path-planning methods.","url":"https://doi.org/10.48550/arxiv.2608.05718","authors":["Grech, Alan","Pisani, Daniel","Grima, Andre","Debono, Carl James","Formosa, Saviour","Seychell, Dylan"],"tags":["Computer Vision and Pattern Recognition (cs.CV)","FOS: Computer and information sciences"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.48550/arxiv.2608.05718","addedAt":"2026-08-31T06:39:58.973Z","updatedAt":"2026-08-31T06:39:58.973Z"},{"id":"doi:10.48550/arxiv.2608.02868","name":"Adaptive Sampling for Automated Post-Disaster Rapid Damage Assessment via Level-Set Cost-Aware Bayesian Optimization","source":"datacite","abstract":"Natural disasters frequently inflict severe damage to the built environment, which demands a rapid, reliable, and cost-effective damage assessment for emergency response. However, traditional methods for post-disaster damage assessment often rely on static, labor-intensive data collection strategies that can be prohibitively expensive and struggle to adapt to dynamic post-disaster conditions. In this study, we propose a cost-aware Bayesian optimization framework combined with level-set estimation that continuously guides autonomous data collectors, e.g., an unmanned aerial vehicle (UAV), toward the most informative regions. By dynamically updating damage estimates across different geographic zones, our approach systematically reduces uncertainty while minimizing operational costs. The proposed framework is first validated using a controlled synthetic toy study, demonstrating the agent's ability to efficiently trace damage boundaries, recover the underlying damage map, and rapidly reduce predictive uncertainty. Furthermore, the approach is evaluated using high-fidelity disaster data generated by the Regional Resilience Determination (R2D) software. The results of the algorithm provide accurate and timely damage estimates that support informative and fast emergency response.","url":"https://doi.org/10.48550/arxiv.2608.02868","authors":["Xu, Boyang","Gahrooei, Mostafa Reisi","Ilbeigi, Mohammad","Yan, Hao"],"tags":["Machine Learning (cs.LG)","FOS: Computer and information sciences"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.48550/arxiv.2608.02868","addedAt":"2026-08-31T06:39:58.973Z","updatedAt":"2026-08-31T06:39:58.973Z"},{"id":"doi:10.57760/sciencedb.45029","name":"Field experiment dataset for vision-assisted radar tracking of non-cooperative aerial vehicles: tracking evaluation, YOLO detector component, and camera-radar calibration","source":"datacite","abstract":"This dataset supports the paper \"Visual Assisted Radar Target Tracking Method for Non Cooperative Aircraft\" (IPODT 2026 submission). Research on unmanned aerial vehicle perception for airborne deployment, using 4D millimeter wave radar and monocular camera to track non cooperative small unmanned aerial vehicles in the field. RTK-GNSS is only used as an offline evaluation reference. The dataset includes: (1) frame by frame evaluation results of radar only and visual assistance schemes on 14 external field sequences (5 close range dual target D series, 4 close range single target S series, and 5 far range single target L series), including output purity and coverage under a 5-meter threshold F1、 False confirmation output per frame, matching sample 3D RMSE); (2) Comparison results of six radar measurement construction and allocation strategies on 17854 common evaluation frames in the D00-D04 binocular target subset (including source point duplicate consumption count); (3) Assembly ablation and distance segmentation error statistics for projection margin gate and trajectory confirmation; (4) YOLOv8n UAV Freeze Detector Component (model weights, 232 independent test images and 280 annotated instances, standard evaluation report, detection accuracy mAP50 0.929 can be end-to-end recalculated); (5) Camera radar joint calibration data (checkerboard calibration image, solver audit summary, reprojection verification map, calibration experiment report); (6) Complete audit chain (candidate graph hash verification, running list, audit report, checksum), all numbers in the paper can be recalculated by the script within the package. The original rosbag data is not included due to its size, and can be provided upon request.","url":"https://doi.org/10.57760/sciencedb.45029","authors":["Yin Senhao","zhang bi hui"],"tags":["Computer science and technology","Computer application","4D millimeter-wave radar","monocular camera","unmanned aerial vehicle","multi-target tracking","data association","object detection"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.57760/sciencedb.45029","addedAt":"2026-08-31T06:39:58.973Z","updatedAt":"2026-08-31T06:39:58.973Z"},{"id":"doi:10.48550/arxiv.2608.01906","name":"Assessing the Benefits of Combining Advanced Deep Learning Techniques for Post-Disaster Building Damage Assessment from UAV Imagery","source":"datacite","abstract":"Rapid and accurate post-disaster building damage assessment is essential, yet remains a challenging task. Unmanned Aerial Vehicle (UAV) imagery offers a timely and high-resolution view of affected areas, but existing Computer Vision (CV) models often demand large annotated datasets, generalize poorly across geographic regions and their assessment policies, and are confined to the specific tasks they were trained for. Large Vision-Language Models (LVLMs) offer a promising alternative through their strong reasoning and generalization capabilities, but fall short on precise, low-level perception tasks such as object detection and accurate bounding box generation. Furthermore, they often require a substantial amount of data for effective fine-tuning on domain-specific tasks. In this paper, we propose a hybrid framework that decouples detection from damage assessment, combining the precision of CV models with the reasoning power of LVLMs. A CV model first detects buildings and generates bounding boxes on the image that are then passed to an LVLM for damage classification and contextual interpretation. We evaluated our framework on two real-world benchmarks: RescueNet and FloodNet. In particular, the best combination under this framework accurately counts intact, partially damaged and completely destroyed buildings, surpassing isolated baselines by up to 2.1 R^2 points, while requiring only limited annotated data for the detection stage. Beyond reporting aggregate gains, we provide a detailed analysis of failure scenarios and edge cases, offering practical insights for practitioners and concrete directions for future work. Our source code and data are publicly available to the research community via the following repository: https://github.com/ungquanghuy-kddi/VLM_GDINO.git","url":"https://doi.org/10.48550/arxiv.2608.01906","authors":["Ung, Huy Quang","Habault, Guillaume","Legaspi, Roberto","Niu, Hao","Cao, Lian","Taya, Masato"],"tags":["Computer Vision and Pattern Recognition (cs.CV)","FOS: Computer and information sciences"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.48550/arxiv.2608.01906","addedAt":"2026-08-31T06:39:58.973Z","updatedAt":"2026-08-31T06:39:58.973Z"},{"id":"doi:10.48550/arxiv.2604.25766","name":"Sensitivity-Based Tube NMPC for Cooperative Aerial Structures Under Parametric Uncertainty","source":"datacite","abstract":"This paper presents a sensitivity-based tube Nonlinear Model Predictive Control (NMPC) framework for cooperative aerial chains under bounded parametric uncertainty. We consider a planar two-vehicle chain connected by rigid links, modeled with input-rate actuation to enforce slew-rate and magnitude limits on thrust and torque. Robustness to uncertainty in link mass, length, and inertia is achieved by propagating first-order parametric state sensitivities along the horizon and using them to compute online constraint-tightening margins. We robustify an inter-link separation constraint, implemented via a smooth cosine embedding, and thrust-magnitude bounds. The method is implemented in MATLAB and evaluated with boundary-hugging maneuvers and Monte-Carlo uncertainty sampling. Results show improved constraint margins under uncertainty with tracking performance comparable to nominal NMPC.","url":"https://doi.org/10.48550/arxiv.2604.25766","authors":["Silano, Giuseppe","Sablé, Quentin","Tognon, Marco","Iannelli, Luigi","Franchi, Antonio"],"tags":["Robotics (cs.RO)","FOS: Computer and information sciences"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.48550/arxiv.2604.25766","addedAt":"2026-08-31T06:39:58.973Z","updatedAt":"2026-08-31T06:39:58.973Z"},{"id":"doi:10.48550/arxiv.2607.26846","name":"Network Verified NTN Positioning for 6G A Standards Oriented Survey of Hybrid TN NTN Localization","source":"datacite","abstract":"Wireless positioning is evolving from legacy cellular and standalone satellite navigation toward hybrid, high-accuracy, three-dimensional (3D), and network-verifiable frameworks for 5G Advanced, 6G, and non terrestrial network (NTN) systems. This shift is driven by intelligent transportation, unmanned aerial vehicle (UAV) operation, low-altitude economy services, public warning, and regulated NTN use cases that require not only accurate location estimates, but also vertical awareness and verification confidence. This survey reviews the evolution from Long Term Evolution (LTE) and Global Navigation Satellite System (GNSS) positioning to New Radio (NR), Release-18/19 positioning enhancements, and NTN-enabled 3D positioning. It synthesizes observable families, 3rd Generation Partnership Project (3GPP) standard evolution, method-level tradeoffs, and open challenges for hybrid terrestrial network (TN) NTN designs, with emphasis on standardization impact, vertical observability, reliability-aware measurement selection, and network-side verification.","url":"https://doi.org/10.48550/arxiv.2607.26846","authors":["Wang, Donglin","Fang, Zexing","Zhou, Qiuheng","Schotten, Hans D."],"tags":["Systems and Control (eess.SY)","FOS: Electrical engineering, electronic engineering, information engineering"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.48550/arxiv.2607.26846","addedAt":"2026-08-31T06:39:58.973Z","updatedAt":"2026-08-31T06:39:58.973Z"},{"id":"doi:10.5281/zenodo.18926765","name":"TF-1770: A Visible–Infrared Forest Fire Image Dataset for Multimodal Perception and Image Fusion Research","source":"datacite","abstract":"TF-1770 Dataset Description Additional note: In addition to the TF-1770 main dataset, an independently collected deployment test set containing 1,116 aligned visible–infrared image pairs is provided for edge-deployment and quantization-effect evaluation. This additional test set was not used for model training and can be accessed at: https://zenodo.org/records/20450596 Overview TF-1770 is a multimodal visible–infrared image dataset designed for research on forest fire monitoring, multimodal perception, and visible–infrared image fusion in complex wildfire environments. The dataset contains 1,770 spatially aligned pairs of visible and thermal infrared images, collected from both unmanned aerial vehicle (UAV) platforms and ground-based firefighter perspectives. Forest fire monitoring often occurs under challenging environmental conditions, including: dense smoke low illumination complex vegetation backgrounds varying observation distances In such scenarios, visible and infrared imaging provide complementary information.Visible images capture detailed scene structures and textures, while infrared images are highly sensitive to thermal targets such as flames and high-temperature regions. The TF-1770 dataset was constructed to facilitate research on effectively integrating these complementary modalities for improved wildfire perception, monitoring, and intelligent sensing systems. Dataset Composition The TF-1770 dataset contains 1,770 aligned visible–infrared image pairs collected from two observation perspectives: UAV viewpoint 944 image pairs Captured from UAV platforms at different flight altitudes Provide large-scale views of wildfire spread and thermal distribution Firefighter viewpoint 826 image pairs Captured from ground-level sensing devices simulating firefighter perspectives Include close-range observations of flames, smoke, and complex forest environments Each visible image has a corresponding infrared image with the same filename, ensuring straightforward pairing for multimodal processing. Data Acquisition Data were collected in representative forest environments using a multi-platform sensing strategy. UAV acquisition Aerial observations were collected from UAV platforms at different flight altitudes, providing large-scale monitoring of wildfire scenes and thermal distribution patterns. Ground-level acquisition Ground-based observations were captured using sensing devices simulating the perspectives of firefighters during field operations. This hierarchical acquisition strategy allows the dataset to capture variations in: observation distance target scale environmental complexity smoke conditions illumination variations These characteristics make TF-1770 suitable for developing and evaluating multimodal perception algorithms under realistic wildfire monitoring scenarios. Data Processing All visible–infrared image pairs were spatially aligned before release using the following processing pipeline: Synchronous acquisition of visible and thermal infrared images Pixel-level image registration using the Enhanced Correlation Coefficient (ECC) algorithm Field-of-view alignment by cropping the visible images to match the thermal sensor view Resolution normalization by resizing aligned image pairs to 640 × 480 pixels This processing ensures that the image pairs are spatially consistent and suitable for multimodal learning tasks such as image fusion and cross-modal perception. Dataset Structure The Zenodo record contains the following files and folders: TF-1770 Dataset│├── TF1770_visible_images_v1.zip│ All visible-spectrum images (1770 images)│├── TF1770_infrared_images_v1.zip│ All thermal infrared images (1770 images)│├── TF1770_annotations_v1.zip│ Annotation files corresponding to the image pairs│├── TF1770_preview_samples_v1│ Preview samples (14 aligned visible–infrared image pairs)│├── README└── LICENSE Preview Samples The folder TF1770_preview_samples_v1 contains 14 aligned visible–infrared image pairs that allow users to q","url":"https://doi.org/10.5281/zenodo.18926765","authors":["Yu, Qian"],"tags":["visible-infrared image fusion","wildfire monitoring","forest fire dataset","Computer Vision"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.18926765","addedAt":"2026-08-31T06:39:58.973Z","updatedAt":"2026-08-31T06:39:58.973Z"},{"id":"doi:10.5281/zenodo.18893472","name":"TF-1770: A Visible–Infrared Forest Fire Image Dataset for Multimodal Perception and Image Fusion Research","source":"datacite","abstract":"TF-1770 Dataset Description Additional note: In addition to the TF-1770 main dataset, an independently collected deployment test set containing 1,116 aligned visible–infrared image pairs is provided for edge-deployment and quantization-effect evaluation. This additional test set was not used for model training and can be accessed at: https://zenodo.org/records/20450596 Overview TF-1770 is a multimodal visible–infrared image dataset designed for research on forest fire monitoring, multimodal perception, and visible–infrared image fusion in complex wildfire environments. The dataset contains 1,770 spatially aligned pairs of visible and thermal infrared images, collected from both unmanned aerial vehicle (UAV) platforms and ground-based firefighter perspectives. Forest fire monitoring often occurs under challenging environmental conditions, including: dense smoke low illumination complex vegetation backgrounds varying observation distances In such scenarios, visible and infrared imaging provide complementary information.Visible images capture detailed scene structures and textures, while infrared images are highly sensitive to thermal targets such as flames and high-temperature regions. The TF-1770 dataset was constructed to facilitate research on effectively integrating these complementary modalities for improved wildfire perception, monitoring, and intelligent sensing systems. Dataset Composition The TF-1770 dataset contains 1,770 aligned visible–infrared image pairs collected from two observation perspectives: UAV viewpoint 944 image pairs Captured from UAV platforms at different flight altitudes Provide large-scale views of wildfire spread and thermal distribution Firefighter viewpoint 826 image pairs Captured from ground-level sensing devices simulating firefighter perspectives Include close-range observations of flames, smoke, and complex forest environments Each visible image has a corresponding infrared image with the same filename, ensuring straightforward pairing for multimodal processing. Data Acquisition Data were collected in representative forest environments using a multi-platform sensing strategy. UAV acquisition Aerial observations were collected from UAV platforms at different flight altitudes, providing large-scale monitoring of wildfire scenes and thermal distribution patterns. Ground-level acquisition Ground-based observations were captured using sensing devices simulating the perspectives of firefighters during field operations. This hierarchical acquisition strategy allows the dataset to capture variations in: observation distance target scale environmental complexity smoke conditions illumination variations These characteristics make TF-1770 suitable for developing and evaluating multimodal perception algorithms under realistic wildfire monitoring scenarios. Data Processing All visible–infrared image pairs were spatially aligned before release using the following processing pipeline: Synchronous acquisition of visible and thermal infrared images Pixel-level image registration using the Enhanced Correlation Coefficient (ECC) algorithm Field-of-view alignment by cropping the visible images to match the thermal sensor view Resolution normalization by resizing aligned image pairs to 640 × 480 pixels This processing ensures that the image pairs are spatially consistent and suitable for multimodal learning tasks such as image fusion and cross-modal perception. Dataset Structure The Zenodo record contains the following files and folders: TF-1770 Dataset│├── TF1770_visible_images_v1.zip│ All visible-spectrum images (1770 images)│├── TF1770_infrared_images_v1.zip│ All thermal infrared images (1770 images)│├── TF1770_annotations_v1.zip│ Annotation files corresponding to the image pairs│├── TF1770_preview_samples_v1│ Preview samples (14 aligned visible–infrared image pairs)│├── README└── LICENSE Preview Samples The folder TF1770_preview_samples_v1 contains 14 aligned visible–infrared image pairs that allow users to q","url":"https://doi.org/10.5281/zenodo.18893472","authors":["Yu, Qian"],"tags":["visible-infrared image fusion","wildfire monitoring","forest fire dataset","Computer Vision"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.18893472","addedAt":"2026-08-31T06:39:58.973Z","updatedAt":"2026-08-31T06:39:58.973Z"},{"id":"doi:10.5281/zenodo.21618574","name":"Ague Cove Thermal Infrared Mapping (July 25, 2026 23:22-23:30)","source":"datacite","abstract":"This dataset was obtained using FLIR Vue TZ20R mounted on DJI Matrice 300 UAV in Ague Cove, Guam on July 25, 2026 from 11:22 PM to 11:30 PM (ChST) and includes raw unprocessed (1) thermal infrared images taken at 135 feet above ground level, (2) thermal infrared image taken at 310 feet above ground level, and (3) thermal infrared video recording. Input parameters are as follows: (1) Reflected Temperature: 70F; (2) Atmospheric Temperature: 79F; (3) Isotherm Threshold: 84.2F and (4) Emissivity: 0.98.","url":"https://doi.org/10.5281/zenodo.21618574","authors":["Mendiola, Melanie"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.21618574","addedAt":"2026-08-31T06:39:58.973Z","updatedAt":"2026-08-31T06:39:58.973Z"},{"id":"doi:10.5281/zenodo.21618575","name":"Ague Cove Thermal Infrared Mapping (July 25, 2026 23:22-23:30)","source":"datacite","abstract":"This dataset was obtained using FLIR Vue TZ20R mounted on DJI Matrice 300 UAV in Ague Cove, Guam on July 25, 2026 from 11:22 PM to 11:30 PM (ChST) and includes raw unprocessed (1) thermal infrared images taken at 135 feet above ground level, (2) thermal infrared image taken at 310 feet above ground level, and (3) thermal infrared video recording. Input parameters are as follows: (1) Reflected Temperature: 70F; (2) Atmospheric Temperature: 79F; (3) Isotherm Threshold: 84.2F and (4) Emissivity: 0.98.","url":"https://doi.org/10.5281/zenodo.21618575","authors":["Mendiola, Melanie"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.21618575","addedAt":"2026-08-31T06:39:58.973Z","updatedAt":"2026-08-31T06:39:58.973Z"},{"id":"doi:10.5281/zenodo.21618183","name":"Ague Cove Thermal Infrared Mapping (July 25, 2026 22:25-22:33)","source":"datacite","abstract":"This dataset was obtained using FLIR Vue TZ20R mounted on DJI Matrice 300 UAV in Ague Cove, Guam on July 25, 2026 from 10:25 PM to 10:33 PM (ChST) and includes raw unprocessed (1) thermal infrared images taken at 135 feet above ground level, (2) thermal infrared image taken at 310 feet above ground level and (3) thermal infrared video recording. Input parameters are as follows: (1) Reflected Temperature: 75F; (2) Atmospheric Temperature: 80F; (3) Isotherm Threshold: 84.2F and (4) Emissivity: 0.98.","url":"https://doi.org/10.5281/zenodo.21618183","authors":["Mendiola, Melanie"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.21618183","addedAt":"2026-08-31T06:39:58.973Z","updatedAt":"2026-08-31T06:39:58.973Z"},{"id":"doi:10.5281/zenodo.21618182","name":"Ague Cove Thermal Infrared Mapping (July 25, 2026 22:25-22:33)","source":"datacite","abstract":"This dataset was obtained using FLIR Vue TZ20R mounted on DJI Matrice 300 UAV in Ague Cove, Guam on July 25, 2026 from 10:25 PM to 10:33 PM (ChST) and includes raw unprocessed (1) thermal infrared images taken at 135 feet above ground level, (2) thermal infrared image taken at 310 feet above ground level and (3) thermal infrared video recording. Input parameters are as follows: (1) Reflected Temperature: 75F; (2) Atmospheric Temperature: 80F; (3) Isotherm Threshold: 84.2F and (4) Emissivity: 0.98.","url":"https://doi.org/10.5281/zenodo.21618182","authors":["Mendiola, Melanie"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.21618182","addedAt":"2026-08-31T06:39:58.973Z","updatedAt":"2026-08-31T06:39:58.973Z"},{"id":"doi:10.48550/arxiv.2607.19609","name":"CRB-Driven Beamforming and Trajectory Optimization for UAV-assisted ISAC System","source":"datacite","abstract":"In this paper, we study an unmanned aerial vehicle (UAV)-assisted integrated sensing and communication (ISAC) system, where a UAV enhances the sensing capability of a base station (BS) towards a target while ensuring reliable communication towards a downlink user. This architecture is practically attractive for future wireless networks due to the UAV's controllable mobility and adaptive sensing coverage in wireless environments. The sensing performance is characterized by the average Cramér-Rao bound (CRB), which quantifies the minimum variance of the unbiased angle-of-arrival estimation. To enhance the sensing performance, the UAV trajectory and beamforming parameters are jointly optimized under power and mobility constraints, while satisfying communication requirements to the downlink user. To address the resulting non-convex problem, we employ null-space projection for beamforming design and adopt deep reinforcement learning for the trajectory optimization over a discrete-time scale. In each time slot, beamforming is optimized based on the channel state information to improve CRB performance while mitigating interference between the BS and the communication user. Simulation results demonstrate that the proposed method significantly reduces the time-averaged CRB by over 10%, compared with the ISAC system without UAV assistance, and also achieves a higher sensing accuracy than both the fixed-UAV-trajectory and the maximum-ratio-transmission-based beamforming benchmarks.","url":"https://doi.org/10.48550/arxiv.2607.19609","authors":["Yang, Yi","Zhang, Qianqian","Wang, Huaxia"],"tags":["Information Theory (cs.IT)","Machine Learning (cs.LG)","Robotics (cs.RO)","FOS: Computer and information sciences"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.48550/arxiv.2607.19609","addedAt":"2026-08-31T06:39:58.973Z","updatedAt":"2026-08-31T06:39:58.973Z"},{"id":"doi:10.5281/zenodo.21127295","name":"MAVHoney-D46: A 46-Day Multi-Continental Dataset of Real-World Attack Traffic Against MAVLink-Based UAV Communication","source":"datacite","abstract":"MAVHoney-D46 is the first publicly available, multi-continental dataset of real-world network traffic targeting MAVLink-based Unmanned Aerial Vehicle (UAV) Ground Control Stations (GCS). Deployed over 46 days (April 16 – May 31, 2026) across three geographic locations in India and the US, the dataset records 15.4 million log entries across 33,207 connections from 4,330 unique source IPs spanning 40+ countries. The dataset contains region-specific folders (india/, static/, and us/) with logs and CSVs detailing connection sessions, decoded MAVLink traffic, classification intent (SCANNER, RECON, CONTROL), firewall blocks, and concurrent SSH brute-force attempts. To protect threat actor privacy while retaining georegion characteristics, all public IPv4 source addresses are partially masked using a consistent A.B.x.x format. This dataset accompanies the paper \"MAVHoney-D46: A 46-Day Multi-Continental Dataset of Real-World Attack Traffic Against MAVLink-Based UAV Communication.\"","url":"https://doi.org/10.5281/zenodo.21127295","authors":["Mewundi, Sapna Vikram","Chowdary, Medaramitla Prajwal","Honnavalli, Prasad B."],"tags":["MAVLink","UAV security","honeypot","intrusion detection dataset"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.21127295","addedAt":"2026-08-31T06:39:58.973Z","updatedAt":"2026-08-31T06:39:58.973Z"},{"id":"doi:10.48550/arxiv.2604.02142","name":"PRO-SPECT: Probabilistically Safe Scalable Planning for Energy-Aware Coordinated UAV-UGV Teams in Stochastic Environments","source":"datacite","abstract":"We consider energy-aware planning for an unmanned aerial vehicle (UAV) and unmanned ground vehicle (UGV) team operating in a stochastic environment. The UAV must visit a set of air points in minimum time while respecting energy constraints, relying on the UGV as a mobile charging station. Unlike prior work that assumed deterministic travel times or used fixed robustness margins, we model travel times as random variables and bound the probability of failure (energy depletion) across the entire mission to a user-specified risk level. We formulate the problem as a Mixed-Integer Program and propose PRO-SPECT, a polynomial-time algorithm that generates risk-bounded plans. The algorithm supports both offline planning and online re-planning, enabling the team to adapt to disturbances while preserving the risk bound. We provide theoretical results on solution feasibility and time complexity. We also demonstrate the performance of our method via numerical comparisons and simulations.","url":"https://doi.org/10.48550/arxiv.2604.02142","authors":["Fowler, Roger","Er, Cahit Ikbal","Johnsenberg, Benjamin","Yazicioglu, Yasin"],"tags":["Robotics (cs.RO)","Multiagent Systems (cs.MA)","FOS: Computer and information sciences"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.48550/arxiv.2604.02142","addedAt":"2026-08-31T06:39:58.973Z","updatedAt":"2026-08-31T06:39:58.973Z"},{"id":"doi:10.48550/arxiv.2607.17386","name":"SkyVLaM: Multimodal Large Language Model for UAV Video Understanding in Remote Sensing","source":"datacite","abstract":"Recent advances in Multimodal Large Language Models (MLLMs) have significantly improved remote sensing (RS) multimodal understanding. Language-conditioned segmentation is crucial for fine-grained target understanding in Unmanned Aerial Vehicle (UAV) videos. However, this task remains challenging due to the prevalence of small, visually ambiguous targets and dynamic aerial perspectives. In this paper, we propose SkyVLaM, a multimodal large language model for UAV video understanding. SkyVLaM constructs sparse tokens directly from patch-level video representations through a temporal basis perceiver, regularizes the sparse basis to encourage complementary temporal cues, and adaptively selects a temporally coherent dense segment for high-resolution inspection. The resulting sparse and dense tokens are jointly processed by a large language model for query-conditioned segmentation. We further build SkyVid, consisting of SkyVid-VGCG and SkyVid-RVOS for video grounded conversation generation and referring video object segmentation, respectively. SkyVid contains 101 videos, 33.6K frames, and 1.53M pixel-level object instances. Experiments show that SkyVLaM provides a more effective allocation of the visual token budget and improves language-conditioned video segmentation in UAV scenarios.","url":"https://doi.org/10.48550/arxiv.2607.17386","authors":["Jing, Kaiwen","Jia, Ruixu","Li, Bingyao","Ou, Ruizhe","Wu, Ming","Zhang, Chuang"],"tags":["Computer Vision and Pattern Recognition (cs.CV)","FOS: Computer and information sciences"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.48550/arxiv.2607.17386","addedAt":"2026-08-31T06:39:58.973Z","updatedAt":"2026-08-31T06:39:58.973Z"},{"id":"doi:10.48550/arxiv.2601.12694","name":"Closed-loop Uplink Radio Resource Management in CF-O-RAN Empowered 5G Aerial Corridor","source":"datacite","abstract":"In this paper, we investigate the uplink (UL) radio resource management for 5G aerial corridors with an open-radio access network (O-RAN)-enabled cell-free (CF) massive multiple-input multiple-output (mMIMO) system. Our objective is to maximize the minimum spectral efficiency (SE) by jointly optimizing unmanned aerial vehicle (UAV)-open radio unit (O-RU) association and UL transmit power under quality-of-service (QoS) constraints. Owing to its NP-hard nature, the formulated problem is decomposed into two tractable sub-problems solved via alternating optimization (AO) using two computationally efficient algorithms. We then propose (i) a QoS-driven and multi-connectivity-enabled association algorithm incorporating UAV-centric and O-RU-centric criteria with targeted refinement for weak UAVs, and (ii) a bisection-guided fixed-point power control algorithm achieving global optimality with significantly reduced complexity, hosted as xApp at the near-real-time (near-RT) RAN intelligent controller (RIC) of O-RAN. Solving the resource-allocation problem requires global channel state information (CSI), which incurs substantial measurement and signaling overhead. To mitigate this, we leverage a channel knowledge map (CKM) within the O-RAN non-RT RIC to enable efficient environment-aware CSI inference. Simulation results show that the proposed framework achieves up to 440% improvement in minimum SE, 100% QoS satisfaction and fairness, while reducing runtime by up to 99.7% compared to an interior point solver-based power allocation solution, thereby enabling O-RAN compliant real-time deployment.","url":"https://doi.org/10.48550/arxiv.2601.12694","authors":["Sarker, Manobendu","Hassan, Md. Zoheb","Wang, Xianbin"],"tags":["Systems and Control (eess.SY)","FOS: Electrical engineering, electronic engineering, information engineering"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.48550/arxiv.2601.12694","addedAt":"2026-08-31T06:39:58.973Z","updatedAt":"2026-08-31T06:39:58.973Z"},{"id":"doi:10.3886/e249153v2","name":"Estimating fuel moisture in grasslands using UAV-mounted infrared and visible light sensors: Field data","source":"datacite","abstract":"This data publication consists of the weight before and after drying, along with other relevant information, of 120 grass plots at the Mazama Meadows site near Olympia, Washington on 09/22/2020. Each plot was destructively sampled and broken into three sample types roughly defined as: live (live vegetation), top (vegetation greater than 1 foot tall), and bottom (rest of the vegetation). Together these three samples represent the entire plot. These data were collected in order to characterize the \"ground truth\" for fuel moisture right after overhead imagery were collected from two unmanned aerial vehicle (UAV) flights at 9:34am and 2:56pm. Also included is a shapefile containing the geolocated polygons for each grass plot.","url":"https://doi.org/10.3886/e249153v2","authors":["US Department of Agriculture","US Forest Service"],"tags":["biota","environment","UAV","unmanned aerial vehicle","wildfire","infrared","remote sensing","MicaSense"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.3886/e249153v2","addedAt":"2026-08-31T06:39:58.973Z","updatedAt":"2026-08-31T06:39:58.973Z"},{"id":"doi:10.3886/e249153","name":"Estimating fuel moisture in grasslands using UAV-mounted infrared and visible light sensors: Field data","source":"datacite","abstract":"This data publication consists of the weight before and after drying, along with other relevant information, of 120 grass plots at the Mazama Meadows site near Olympia, Washington on 09/22/2020. Each plot was destructively sampled and broken into three sample types roughly defined as: live (live vegetation), top (vegetation greater than 1 foot tall), and bottom (rest of the vegetation). Together these three samples represent the entire plot. These data were collected in order to characterize the \"ground truth\" for fuel moisture right after overhead imagery were collected from two unmanned aerial vehicle (UAV) flights at 9:34am and 2:56pm. Also included is a shapefile containing the geolocated polygons for each grass plot.","url":"https://doi.org/10.3886/e249153","authors":["US Department of Agriculture","US Forest Service"],"tags":["biota","environment","UAV","unmanned aerial vehicle","wildfire","infrared","remote sensing","MicaSense"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.3886/e249153","addedAt":"2026-08-31T06:39:58.973Z","updatedAt":"2026-08-31T06:39:58.973Z"},{"id":"doi:10.48550/arxiv.2607.14523","name":"SLIPT-Enabled Ground-to-UAV FSO Systems with Optical Reconfigurable Intelligent Surfaces","source":"datacite","abstract":"This paper proposes an optical reconfigurable intelligent surface (ORIS)-assisted ground-to-unmanned aerial vehicle (UAV) free-space optical (FSO) communication system empowered by simultaneous lightwave information and power transfer (SLIPT). To overcome the line-of-sight (LoS) limitation of FSO-based SLIPT systems, we introduce an ORIS that reflects the laser beam towards a non-LoS UAV receiver. We model and analyze the combined channel characteristics, incorporating atmospheric loss, turbulence-induced fading, pointing error, and angle-of-arrival fluctuations due to UAV hovering. We derive closed-form expressions for harvested energy, outage probability, and symbol error rate (SER). Numerical results show that integrating ORIS improves EH efficiency while maintaining manageable outage and SER performance.","url":"https://doi.org/10.48550/arxiv.2607.14523","authors":["Sugiyama, Luna","Trinh, Phuc V.","Sugiura, Shinya"],"tags":["Signal Processing (eess.SP)","FOS: Electrical engineering, electronic engineering, information engineering"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.48550/arxiv.2607.14523","addedAt":"2026-08-31T06:39:58.973Z","updatedAt":"2026-08-31T06:39:58.973Z"},{"id":"doi:10.3886/e249154v2","name":"Estimating fuel moisture in grasslands using UAV-mounted infrared and visible light sensors: Tau remote sensing data","source":"datacite","abstract":"This data publication consists of the complete set of raw images, orthomosaics created from these images, and ground control points (GCPs) from two unmanned aerial vehicle (UAV) flights over the Mazama Meadows site near Olympia, Washington on 09/22/2020. There are single-band images for five wavelengths in visible and infrared collected using a MicaSense RedEdge camera, and one band in short-wave infrared (SWIR) collected using a FLIR Tau camera flown concurrently on flights at 9:34am and 2:56pm. The drone flew at 3 meters per second at a height of 16 meters and the images were recorded once per second.","url":"https://doi.org/10.3886/e249154v2","authors":["US Department of Agriculture","US Forest Service"],"tags":["biota","environment","UAV","unmanned aerial vehicle","wildfire","infrared","remote sensing","MicaSense"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.3886/e249154v2","addedAt":"2026-08-31T06:39:58.973Z","updatedAt":"2026-08-31T06:39:58.973Z"},{"id":"doi:10.3886/e249154","name":"Estimating fuel moisture in grasslands using UAV-mounted infrared and visible light sensors: Tau remote sensing data","source":"datacite","abstract":"This data publication consists of the complete set of raw images, orthomosaics created from these images, and ground control points (GCPs) from two unmanned aerial vehicle (UAV) flights over the Mazama Meadows site near Olympia, Washington on 09/22/2020. There are single-band images for five wavelengths in visible and infrared collected using a MicaSense RedEdge camera, and one band in short-wave infrared (SWIR) collected using a FLIR Tau camera flown concurrently on flights at 9:34am and 2:56pm. The drone flew at 3 meters per second at a height of 16 meters and the images were recorded once per second.","url":"https://doi.org/10.3886/e249154","authors":["US Department of Agriculture","US Forest Service"],"tags":["biota","environment","UAV","unmanned aerial vehicle","wildfire","infrared","remote sensing","MicaSense"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.3886/e249154","addedAt":"2026-08-31T06:39:58.973Z","updatedAt":"2026-08-31T06:39:58.973Z"},{"id":"doi:10.3886/e249102v2","name":"Estimating fuel moisture in grasslands using UAV-mounted infrared and visible light sensors: MicaSense remote sensing data","source":"datacite","abstract":"This data publication consists of the complete set of raw images, orthomosaics created from these images, and ground control points (GCPs) from two unmanned aerial vehicle (UAV) flights over the Mazama Meadows site near Olympia, Washington on 09/22/2020. There are single-band images in five wavelengths - red, green, blue, red edge, and near infrared collected using a MicaSense RedEdge camera from the flights at 9:34am and 2:56pm. The drone flew at 3 meters per second at a height of 16 meters and the images were recorded once per second.","url":"https://doi.org/10.3886/e249102v2","authors":["US Department of Agriculture","US Forest Service"],"tags":["biota","environment","UAV","unmanned aerial vehicle","wildfire","infrared","remote sensing","MicaSense"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.3886/e249102v2","addedAt":"2026-08-31T06:39:58.973Z","updatedAt":"2026-08-31T06:39:58.973Z"},{"id":"doi:10.3886/e249102","name":"Estimating fuel moisture in grasslands using UAV-mounted infrared and visible light sensors: MicaSense remote sensing data","source":"datacite","abstract":"This data publication consists of the complete set of raw images, orthomosaics created from these images, and ground control points (GCPs) from two unmanned aerial vehicle (UAV) flights over the Mazama Meadows site near Olympia, Washington on 09/22/2020. There are single-band images in five wavelengths - red, green, blue, red edge, and near infrared collected using a MicaSense RedEdge camera from the flights at 9:34am and 2:56pm. The drone flew at 3 meters per second at a height of 16 meters and the images were recorded once per second.","url":"https://doi.org/10.3886/e249102","authors":["US Department of Agriculture","US Forest Service"],"tags":["biota","environment","UAV","unmanned aerial vehicle","wildfire","infrared","remote sensing","MicaSense"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.3886/e249102","addedAt":"2026-08-31T06:39:58.973Z","updatedAt":"2026-08-31T06:39:58.973Z"},{"id":"doi:10.48550/arxiv.2607.10583","name":"Benchmarking UAV-based Vehicle Re-Identification under Simulated Weather Conditions","source":"datacite","abstract":"UAV-based vehicle re-identification (ReID) has emerged as a promising technique for traffic surveillance, urban monitoring, and public-safety applications thanks to the flexible viewpoints and wide-area coverage provided by unmanned aerial vehicles. However, despite recent progress on UAV-based vehicle ReID benchmarks, the robustness of existing methods under adverse weather remains insufficiently studied. This is important because weather degradation can significantly affect the fine-grained appearance cues required for reliable vehicle matching in aerial imagery, especially under small object scale, viewpoint variation, and complex backgrounds. In this paper, we present a controlled comparative study of three representative recent vehicle ReID methods, namely CLIP-ReID, MSINet, and AdaSP, on two UAV-based benchmarks, VRU and UAV-VeID. To ensure consistent robustness evaluation, we generate synthetic foggy and rainy variants of both datasets using an analytical weather-effect pipeline while preserving the original identities and data splits. All methods are then trained and evaluated under matched clean, foggy, and rainy conditions. Experimental results show that adverse weather consistently degrades retrieval performance across both datasets, with rain causing larger drops than fog in nearly all settings. Among the evaluated methods, AdaSP demonstrates the strongest robustness, achieving 93.0% and 88.5% mAP on VRU-Large, and 88.7% and 76.2% mAP on UAV-VeID-Test under foggy and rainy conditions, respectively. Overall, our findings show that simulated adverse weather substantially increases the difficulty of UAV-based vehicle ReID, reveals clear robustness differences among recent methods, and highlights the need for weather-aware model design and evaluation protocols in future aerial ReID research. The code is released at https://github.com/tranminhvu945/Benchmarking-ReID.","url":"https://doi.org/10.48550/arxiv.2607.10583","authors":["Tran, Vu Minh","Nguyen, Khang"],"tags":["Computer Vision and Pattern Recognition (cs.CV)","FOS: Computer and information sciences"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.48550/arxiv.2607.10583","addedAt":"2026-08-31T06:39:58.973Z","updatedAt":"2026-08-31T06:39:58.973Z"},{"id":"doi:10.48550/arxiv.2607.09361","name":"Drone-Based Antenna Measurement System with Optimized Positioning and ASPIRE-Based NF-FF Transformation","source":"datacite","abstract":"Unmanned Aerial Vehicle (UAV)-based antenna measurement systems provide a flexible and cost-effective alternative to conventional antenna test ranges for characterizing large and installed antennas. However, their accuracy depends on precise UAV positioning and efficient flight-time utilization, both of which are strongly influenced by the selection of drone assemblies, including the airframe, flight controller, propulsion system, positioning modules, and onboard instrumentation. This paper presents a comprehensive study of UAV-based antenna measurements with emphasis on improving positioning accuracy and optimizing flight endurance through systematic drone assembly selection. The acquired near-field measurement data are susceptible to positioning errors, amplitude and phase inconsistencies, and irregular sampling, which degrade the reconstructed far-field pattern. To address these challenges, the recorded near-field data are processed using the Adaptive Sparse Inverse Radiation Estimation (ASPIRE) algorithm. ASPIRE compensates for positioning inaccuracies and reconstructs the far-field pattern from irregularly sampled near-field data using sparse signal recovery, enabling accurate Near-Field to Far-Field (NF-FF) transformation. At 6.7125 GHz, ASPIRE achieves a residual of 1.94% and a beamwidth error of 0.4 degrees relative to a conventional facility measurement while using only 24% of the 17,298-element RWG mesh as active support. The results demonstrate that the combination of optimized drone assembly selection and ASPIRE-based NF-FF transformation significantly improves the accuracy of UAV-based antenna measurements and produces far-field patterns that closely agree with conventional antenna test range measurements.","url":"https://doi.org/10.48550/arxiv.2607.09361","authors":["Singh, Simranjit","Jadav, Abha Nilesh","Patel, Aarish Dharmesh","Jaswant","Pandya, Jigar M."],"tags":["Signal Processing (eess.SP)","FOS: Electrical engineering, electronic engineering, information engineering"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.48550/arxiv.2607.09361","addedAt":"2026-08-31T06:39:58.973Z","updatedAt":"2026-08-31T06:39:58.973Z"},{"id":"doi:10.5281/zenodo.21319056","name":"Real-Time Environmental Monitoring Dashboard and Multi-Modal AI Detection System for Marine Oil and Gas Facilities","source":"datacite","abstract":"Abstract: Marine oil and gas infrastructures are continuously exposed to the risk of hydrocarbon spills, necessitating rapid, automated surveillance frameworks to mitigate ecological catastrophes. This paper presents a multi-modal, automated real-time environmental monitoring system that fuses computer vision with localized Internet of a Things (IoT) biochemical telemetry. The detection architecture is powered by an optimized lightweight deep learning network (YOLO) trained on a heterogeneous dataset compiling high-resolution Unmanned Aerial Vehicle (UAV) RGB imagery and Synthetic Aperture Radar (SAR) Ground Range Detected (GRD) data from NASA Earthdata and the Copernicus Sentinel Data Hub. Simultaneously, an internet telemetry gateway continuously processes aquatic health parameters, including Water pH, Turbidity, and Dissolved Oxygen (DO). The backend infrastructure is built using the Django REST Framework to handle asynchronous image preprocessing, model inference, and a localized alert generation mechanism. Real-time visualization is rendered via a decoupled React.js single-page web dashboard. Empirically, the AI classification layer achieved an overall validation accuracy of 94.6% and an F1-score of 0.945, demonstrating a frame processing latency of 22 milliseconds. Combined with a systemic end-to-end telemetry response time of 1.84 seconds, the proposed framework offers an efficient, early-warning operational pipeline for environmental regulatory authorities and asset operators. Keywords: Oil Spill Detection, You Only Look Once (YOLO), Internet of a Things (IoT), Multi-Modal Fusion, Remote Sensing, Environmental Monitoring Dashboard. Title: Real-Time Environmental Monitoring Dashboard and Multi-Modal AI Detection System for Marine Oil and Gas Facilities Author: Nkue Dumka, Emmanuel Iwok Essien, Uliang Ibia Ibia, AniebietAbasi Prosper Daniel, Hameedat Bashir, Iwundu Elizabeth Chigozirim International Journal of Computer Science and Information Technology Research ISSN 2348-1196 (print), ISSN 2348-120X (online) Vol. 14, Issue 3, July 2026 - September 2026 Page No: 17-23 Research Publish Journals Website: www.researchpublish.com Published Date: 11-July-2026 DOI: https://doi.org/10.5281/zenodo.21319056 Paper Download Link (Source) https://www.researchpublish.com/papers/real-time-environmental-monitoring-dashboard-and-multi-modal-ai-detection-system-for-marine-oil-and-gas-facilities","url":"https://doi.org/10.5281/zenodo.21319056","authors":["Nkue Dumka","Emmanuel Iwok Essien","Uliang Ibia Ibia","AniebietAbasi Prosper Daniel","Hameedat Bashir","Iwundu Elizabeth Chigozirim"],"tags":["Oil Spill Detection","You Only Look Once (YOLO)","Internet of a Things (IoT)","Multi-Modal Fusion","Remote Sensing","Environmental Monitoring Dashboard"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.21319056","addedAt":"2026-08-31T06:39:58.973Z","updatedAt":"2026-08-31T06:39:58.973Z"},{"id":"doi:10.5281/zenodo.21319055","name":"Real-Time Environmental Monitoring Dashboard and Multi-Modal AI Detection System for Marine Oil and Gas Facilities","source":"datacite","abstract":"Abstract: Marine oil and gas infrastructures are continuously exposed to the risk of hydrocarbon spills, necessitating rapid, automated surveillance frameworks to mitigate ecological catastrophes. This paper presents a multi-modal, automated real-time environmental monitoring system that fuses computer vision with localized Internet of a Things (IoT) biochemical telemetry. The detection architecture is powered by an optimized lightweight deep learning network (YOLO) trained on a heterogeneous dataset compiling high-resolution Unmanned Aerial Vehicle (UAV) RGB imagery and Synthetic Aperture Radar (SAR) Ground Range Detected (GRD) data from NASA Earthdata and the Copernicus Sentinel Data Hub. Simultaneously, an internet telemetry gateway continuously processes aquatic health parameters, including Water pH, Turbidity, and Dissolved Oxygen (DO). The backend infrastructure is built using the Django REST Framework to handle asynchronous image preprocessing, model inference, and a localized alert generation mechanism. Real-time visualization is rendered via a decoupled React.js single-page web dashboard. Empirically, the AI classification layer achieved an overall validation accuracy of 94.6% and an F1-score of 0.945, demonstrating a frame processing latency of 22 milliseconds. Combined with a systemic end-to-end telemetry response time of 1.84 seconds, the proposed framework offers an efficient, early-warning operational pipeline for environmental regulatory authorities and asset operators. Keywords: Oil Spill Detection, You Only Look Once (YOLO), Internet of a Things (IoT), Multi-Modal Fusion, Remote Sensing, Environmental Monitoring Dashboard. Title: Real-Time Environmental Monitoring Dashboard and Multi-Modal AI Detection System for Marine Oil and Gas Facilities Author: Nkue Dumka, Emmanuel Iwok Essien, Uliang Ibia Ibia, AniebietAbasi Prosper Daniel, Hameedat Bashir, Iwundu Elizabeth Chigozirim International Journal of Computer Science and Information Technology Research ISSN 2348-1196 (print), ISSN 2348-120X (online) Vol. 14, Issue 3, July 2026 - September 2026 Page No: 17-23 Research Publish Journals Website: www.researchpublish.com Published Date: 11-July-2026 DOI: https://doi.org/10.5281/zenodo.21319056 Paper Download Link (Source) https://www.researchpublish.com/papers/real-time-environmental-monitoring-dashboard-and-multi-modal-ai-detection-system-for-marine-oil-and-gas-facilities","url":"https://doi.org/10.5281/zenodo.21319055","authors":["Nkue Dumka","Emmanuel Iwok Essien","Uliang Ibia Ibia","AniebietAbasi Prosper Daniel","Hameedat Bashir","Iwundu Elizabeth Chigozirim"],"tags":["Oil Spill Detection","You Only Look Once (YOLO)","Internet of a Things (IoT)","Multi-Modal Fusion","Remote Sensing","Environmental Monitoring Dashboard"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.21319055","addedAt":"2026-08-31T06:39:58.973Z","updatedAt":"2026-08-31T06:39:58.973Z"},{"id":"doi:10.17632/g3th763mrj.2","name":"Derived data for an integrated UAV-SfM and deep-learning workflow for Polat Lake (Eastern Anatolia)","source":"datacite","abstract":"This dataset contains the derived geospatial products, trained machine-learning model, source code and figure-source data accompanying the article \"An Integrated Unmanned Aerial Vehicle Structure-from-Motion and Deep-Learning Workflow for Geomorphometric and Radiative Characterisation of a Hypersaline Karst Doline Lake (Polat Lake, Eastern Anatolia)\" submitted to Earth Science Informatics (Springer Nature, 2026). The study characterises Polat Lake, a small (~1.1 ha) hypersaline karst doline lake in the Erzincan-Divrigi Basin (Eastern Anatolia, Turkiye), using UAV-SfM photogrammetry, deep-learning point-cloud classification, geomorphometric analysis and solar-radiation modelling. All raster products are georeferenced to WGS 84 / UTM zone 37N (EPSG:32637); the source DSM was produced at 5.68 cm/pixel ground sampling distance. Annual solar-radiation products use DOY 1-365 totals. Folder structure: 01_DSM_and_Orthomosaic - UAV-derived DSM, orthomosaic and hillshade products 02_Classification_outputs - MLP-classified dense point cloud and figure-source PNGs 03_MLP_model - trained PyTorch weights, scaler parameters, feature names and architecture 04_TWI_and_SolarRadiation - TWI, annual solar radiation and aspect-class rasters 05_Vector_layers - faults, geology, water, peaks and contours 06_Scripts_and_Code - training, inference and plotting scripts 07_Training_data - per-class training-sample CSVs 08_Geomorphometric_outputs - cross-section profile CSV and sill-relative height-difference/storage raster for Fig. 8 09_UAV_metadata - Agisoft Metashape processing report and camera/tie-point metadata 10_Field_photos - representative UAV and handheld field photographs The Fig. 8 raster is a DSM-derived sill-relative height-difference/storage proxy and should not be treated as direct hydroacoustic bathymetry.","url":"https://doi.org/10.17632/g3th763mrj.2","authors":["taş, mehmet akif","Polat, Pınar ","Çelik, Yakup ","Tagliasacchi, Ezher"],"tags":["Hydrology","Geomorphology","Machine Learning"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.17632/g3th763mrj.2","addedAt":"2026-08-31T06:39:58.973Z","updatedAt":"2026-08-31T06:39:58.973Z"},{"id":"doi:10.17619/unipb/1-2647","name":"AI- and data science-driven decision support","source":"datacite","abstract":"Early product creation involves decision-making under uncertainty, driven by heterogeneous customer inputs, multidisciplinary dependencies, and iterative stakeholder coordination. Translating informal customer needs into precise system definitions remains a significant challenge. This paper proposes an AI- and data science (DS)-driven automation framework that integrates customer-interactive, human-in-the-loop requirements engineering with automated system concept development and evaluation. The approach is validated using an unmanned aerial vehicle use case in an industrial-grade digital engineering environment. The results demonstrate how integrated AI- and DS-supported workflows can improve efficiency, decision-making quality, coordination, and traceability in early product creation.","url":"https://doi.org/10.17619/unipb/1-2647","authors":["Tatschl, Michael","Schalk, Gerolf","Hick, Hannes"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.17619/unipb/1-2647","addedAt":"2026-08-31T06:39:58.973Z","updatedAt":"2026-08-31T06:39:58.973Z"},{"id":"doi:10.48550/arxiv.2603.08828","name":"Mobile Base Station Optimal Tour in Wide Area IoT Sensor Networks","source":"datacite","abstract":"Wide-area IoT sensor networks require efficient data collection mechanisms when sensors are dispersed over large regions with limited communication infrastructure. Unmanned aerial vehicle (UAV)-mounted Mobile Base Stations (MBSs) provide a flexible solution; however, their limited onboard energy and the strict energy budgets of sensors necessitate carefully optimized tour planning. In this paper, we introduce the Mobile Base Station Optimal Tour (MOT) problem, which seeks a minimum-cost, non-revisiting tour over a subset of candidate stops such that the union of their coverage regions ensures complete sensor data collection under a global sensor energy constraint. The tour also avoids restricted areas. We formally model the MOT problem as a combinatorial optimization problem, which is NP-hard. Owing to its computational intractability, we develop a polynomial-time greedy heuristic that considers minimizing MBS travel cost covering all IoT sensors while avoiding restricted areas. Using simulations, we obtain tours with low cost, complete sensor coverage, and faster execution. The proposed framework provides both theoretical insight into the structural complexity of MBS-assisted data collection and a practical algorithmic solution for large-scale IoT deployments.","url":"https://doi.org/10.48550/arxiv.2603.08828","authors":["Kadam, Sachin"],"tags":["Networking and Internet Architecture (cs.NI)","Signal Processing (eess.SP)","FOS: Computer and information sciences","FOS: Electrical engineering, electronic engineering, information engineering"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.48550/arxiv.2603.08828","addedAt":"2026-08-31T06:39:58.973Z","updatedAt":"2026-08-31T06:39:58.973Z"},{"id":"doi:10.5281/zenodo.15336998","name":"UAVIDS-2025: A Benchmark Dataset for Intrusion Detection in UAV Networks Using Machine Learning Techniques","source":"datacite","abstract":"UAVIDS-2025 is a comprehensive benchmark dataset designed for evaluating intrusion detection systems (IDS) in UAV (Unmanned Aerial Vehicle) swarm networks. The dataset was generated through extensive simulations using the NS-3.24 network simulator, with realistic UAV mobility modeled by an extended BOID algorithm. It includes 122,171 labeled flow records across five traffic categories: Normal, Blackhole, Flooding, Sybil, and Wormhole attacks. Each data sample represents a network flow characterized by 22 features, grouped into connection, traffic volume, and performance metrics. The simulations were configured with IEEE 802.11ac wireless standards, AODV routing, and a Nakagami channel model to ensure realism. This dataset enables the evaluation of machine learning-based IDS under various scenarios, including imbalanced attack distributions and swarm mobility. The dataset supports research in: Supervised/unsupervised intrusion detection Federated learning and decentralized security Adversarial robustness and synthetic data generation UAVIDS-2025 is intended to provide a reproducible, scalable, and diverse testbed for the research community working on the security of UAV networks. If you are using our dataset, you should cite our related paper which outlining the details of the dataset and its underlying principles: @inproceedings{zeng2025uavids, title={Uavids-2025: A benchmark dataset for intrusion detection in uav networks using machine learning techniques}, author={Zeng, Qingli and Bashir, Abdalrahman and Nait-Abdesselam, Farid}, booktitle={2025 IEEE Conference on Communications and Network Security (CNS)}, pages={1--9}, year={2025}, organization={IEEE}} @inproceedings{zeng2026fedgraph, title={FedGraph-ID: A Federated Graph Learning Framework for Intrusion Detection in UAV Networks Under Adversarial Settings}, author={Zeng, Qingli and Fu, Yinjin and Nait-Abdesselam, Farid}, booktitle={IEEE INFOCOM 2026-IEEE Conference on Computer Communications}, pages={1--10}, year={2026}, organization={IEEE} }","url":"https://doi.org/10.5281/zenodo.15336998","authors":["Zeng, Qingli","Bashir, Abdalrahman","Nait-Abdesselam, Farid"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.15336998","addedAt":"2026-08-31T06:39:58.973Z","updatedAt":"2026-08-31T06:39:59.256Z"},{"id":"doi:10.5281/zenodo.15336997","name":"UAVIDS-2025: A Benchmark Dataset for Intrusion Detection in UAV Networks Using Machine Learning Techniques","source":"datacite","abstract":"UAVIDS-2025 is a comprehensive benchmark dataset designed for evaluating intrusion detection systems (IDS) in UAV (Unmanned Aerial Vehicle) swarm networks. The dataset was generated through extensive simulations using the NS-3.24 network simulator, with realistic UAV mobility modeled by an extended BOID algorithm. It includes 122,171 labeled flow records across five traffic categories: Normal, Blackhole, Flooding, Sybil, and Wormhole attacks. Each data sample represents a network flow characterized by 22 features, grouped into connection, traffic volume, and performance metrics. The simulations were configured with IEEE 802.11ac wireless standards, AODV routing, and a Nakagami channel model to ensure realism. This dataset enables the evaluation of machine learning-based IDS under various scenarios, including imbalanced attack distributions and swarm mobility. The dataset supports research in: Supervised/unsupervised intrusion detection Federated learning and decentralized security Adversarial robustness and synthetic data generation UAVIDS-2025 is intended to provide a reproducible, scalable, and diverse testbed for the research community working on the security of UAV networks. If you are using our dataset, you should cite our related paper which outlining the details of the dataset and its underlying principles: @inproceedings{zeng2025uavids, title={Uavids-2025: A benchmark dataset for intrusion detection in uav networks using machine learning techniques}, author={Zeng, Qingli and Bashir, Abdalrahman and Nait-Abdesselam, Farid}, booktitle={2025 IEEE Conference on Communications and Network Security (CNS)}, pages={1--9}, year={2025}, organization={IEEE}} @inproceedings{zeng2026fedgraph, title={FedGraph-ID: A Federated Graph Learning Framework for Intrusion Detection in UAV Networks Under Adversarial Settings}, author={Zeng, Qingli and Fu, Yinjin and Nait-Abdesselam, Farid}, booktitle={IEEE INFOCOM 2026-IEEE Conference on Computer Communications}, pages={1--10}, year={2026}, organization={IEEE} }","url":"https://doi.org/10.5281/zenodo.15336997","authors":["Zeng, Qingli","Bashir, Abdalrahman","Nait-Abdesselam, Farid"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.15336997","addedAt":"2026-08-31T06:39:58.973Z","updatedAt":"2026-08-31T06:39:59.256Z"},{"id":"doi:10.5281/zenodo.21102784","name":"MAVHoney-D46: A 46-Day Multi-Continental Dataset of Real-World Attack Traffic Against MAVLink-Based UAV Communication","source":"datacite","abstract":"This dataset presents MAVHoney-D46, a publicly available dataset of real-world network traffic targeting MAVLink-based unmanned aerial vehicle (UAV) ground control stations (GCS). The dataset was collected over 46 days (April 16 – May 31, 2026) using three geographically distributed passive listeners deployed on DigitalOcean infrastructure in India and the United States. MAVHoney-D46 comprises 15.4 million JSONL log entries recording 33,207 external TCP/UDP connections from 4,330 unique source IPs across 40+ countries. Each connection is annotated with timestamp, source IP/port, session metadata, packet counts, duration, and—for MAVLink-formatted probes—decoded message type and behavioral classification (SCANNER, RECON, CONTROL, UNKNOWN).","url":"https://doi.org/10.5281/zenodo.21102784","authors":["Mewundi, Sapna Vikram","Medaramitla, Prajwal Chowdary","Honnavalli, Prasad B."],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.21102784","addedAt":"2026-08-31T06:39:58.973Z","updatedAt":"2026-08-31T06:39:58.973Z"},{"id":"doi:10.34734/fzj-2026-02099","name":"Hot-Spot Formation in Cu(In,Ga)Se2 Thin Film Solar Cells","source":"datacite","abstract":"Photovoltaic (PV) modules are susceptible to reliability concerns under reverse bias conditions, particularly when subjected to partial shading. When a solar cell is shaded, it generates less current than its unshaded counterparts, causing excess current to flow in reverse through the affected cell. This can result in a substantial reverse voltage, potentially leading to junction breakdown. Under sustained reverse bias stress, localized regions of the cell can become highly conductive, drawing in more current and dissipating it as heat. This heat accumulation can lead to the formation of localized \"hotspots,\" a phenomenon observed across all PV technologies. However, the severity of reverse bias damage varies depending on the material system and device architecture. A key reliability concern associated with reverse bias damage is the presence of positive feedback effects, which can trigger thermal runaway. A positive feedback loop where the hotspot becomes more conductive at higher temperatures, leads to an unstable system where the temperature rises quickly [1]. If the temperature surpasses a critical threshold, the cell undergoes irreversible damage. Thin-film solar technologies are particularly susceptible to reverse biasinduced thermal runaway due to their structural and thermal properties. The encapsulation materials commonly used in PV modules have poor thermal conductivity, limiting their ability to dissipate heat efficiently. Additionally, the inherently thin absorber layers of thin-film modules provide little thermal mass, making them more prone to rapid temperature increases compared to conventional wafer-based PV technologies. Among thin-film solar cells, copper indium gallium selenide (Cu(In,Ga)Se2 or CIGS) is a particularly promising candidate due to its high absorption coefficient of approximately 105 cm−1 in the visible spectrum (400–700 nm) [2]. This property enables ultra-thin absorber layers (1 − 2 μm), facilitating lightweight and flexible applications such as vehicle- and building-integrated photovoltaics (VIPV and BIPV) and unmanned aerial vehicles (UAVs) [3, 4]. However, like other thin-film technologies, CIGS is prone to reverse bias damage due to its low thermal mass and the limited heat dissipation capabilities of standard encapsulation materials. A well-documented reverse bias degradation mechanism in CIGS solar cells is the formation of so-called \"wormlike defects\" [5, 6]. In this thesis, I propose a three-phase model describing the progression of reverse bias damage in CIGS solar cells: (i) the nucleation phase, (ii) the growth phase, and (iii) the wandering phase. During the nucleation phase, thermal activation of the junction breakdown current leads to an initial instability, initiating a thermal runaway. This phase concludes when thermal decomposition occurs, segregating the CIGS material and forming a conductive shunt-like defect, marking the transition to irreversible damage. In the growth phase, the defect expands from the nanometer to the micrometer scale. Finally, in the wandering phase, the defect propagates through the cell, forming elongated wormlike structures. To investigate the nucleation phase, I developed a novel characterization method called Laser-Induced Hot-Spot Lock-In Thermography (HS-LIT) to visualize and quantify the interplay between thermal heat and electrical power. Initial measurements revealed that laser-induced hotspots caused localized power redistribution, leading to temperature increases. To enhance measurement precision, I introduced laser modulation, enabling the direct quantification of the loop gain driving the thermal runaway. A thermal runaway occurs when the loop gain exceeds 1. Typically, a loop gain above 1 is unmeasurable because it signifies an unstable system. However, in a modulated experiment, the system can temporarily exhibit loop gains above 1 while remaining stable over an entire modulation cycle. This allows for the non destructive quantification o","url":"https://doi.org/10.34734/fzj-2026-02099","authors":["Nofal, Suheir"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.34734/fzj-2026-02099","addedAt":"2026-08-31T06:39:58.973Z","updatedAt":"2026-08-31T06:39:59.256Z"},{"id":"doi:10.48550/arxiv.2606.28827","name":"LNN-Fly: Continuous-Time UAV Navigation for Robust Obstacle Avoidance under Timing Mismatch","source":"datacite","abstract":"End-to-end unmanned aerial vehicle (UAV) navigation can achieve impressive agility in simulation, yet its obstacle-avoidance behavior often degrades after deployment because the policy must tolerate simulator mismatch, sensing irregularity, and variable-rate control. These effects are especially dangerous in cluttered environments, where stale observations or short control irregularities can directly lead to collisions. We present LNN-Fly, a deployment-oriented continuous-time navigation policy for LiDAR-based UAV obstacle avoidance. The policy combines a dynamic-programming-inspired structured recurrent update, explicit conditioning on the elapsed control interval Δt, and an input-driven adaptive forgetting gate that refreshes stale latent state near hazards while preserving consistency during sustained maneuvers. It is trained with differentiable rollouts that incorporate deployment-relevant sensing and timing perturbations. In simulation, LNN-Fly improves obstacle-avoidance performance in the tested settings and shows better tolerance to reduced control frequency, sparse observations, and control-period jitter. It also transfers zero-shot from a simplified differentiable simulator to a physical quadrotor. In indoor cross-frequency real-world tests, the system achieves 100% success over 20 flights, while policy inference has a median latency of 0.514 ms on a desktop graphics processing unit (GPU) and about 2.5 ms on the onboard central processing unit (CPU), with onboard P95 latency below 30 ms.","url":"https://doi.org/10.48550/arxiv.2606.28827","authors":["Huang, Yulin","Chen, Shaojie","Feng, Di","Wang, Jiahao","Liu, Ping","Zou, Jianxiao"],"tags":["Robotics (cs.RO)","FOS: Computer and information sciences","I.2.9; I.2.6; I.2.8"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.48550/arxiv.2606.28827","addedAt":"2026-08-31T06:39:58.973Z","updatedAt":"2026-08-31T06:39:58.973Z"},{"id":"doi:10.5281/zenodo.20151326","name":"Ague Cove Thermal Infrared Mapping (April 25, 2026 20:54-21:13)","source":"datacite","abstract":"This dataset was obtained using FLIR Vue TZ20R mounted on DJI Matrice 300 UAV in Ague Cove, Guam on April 25, 2026 from 8:54 PM to 9:13 PM (ChST) and includes raw unprocessed (1) thermal infrared images taken at 135 feet above ground level, (2) thermal infrared image taken at 390 feet above ground level, (3) thermal infrared video recording and (4) related aircraft flight record. Input parameters are as follows: (1) Reflected Temperature: 74F; (2) Atmospheric Temperature: 81F; (3) Isotherm Threshold: 81.3F and (4) Emissivity: 0.98.","url":"https://doi.org/10.5281/zenodo.20151326","authors":["Mendiola, Melanie"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.20151326","addedAt":"2026-08-31T06:39:58.973Z","updatedAt":"2026-08-31T06:39:58.973Z"},{"id":"doi:10.5281/zenodo.20151327","name":"Ague Cove Thermal Infrared Mapping (April 25, 2026 20:54-21:13)","source":"datacite","abstract":"This dataset was obtained using FLIR Vue TZ20R mounted on DJI Matrice 300 UAV in Ague Cove, Guam on April 25, 2026 from 8:54 PM to 9:13 PM (ChST) and includes raw unprocessed (1) thermal infrared images taken at 135 feet above ground level, (2) thermal infrared image taken at 390 feet above ground level, (3) thermal infrared video recording and (4) related aircraft flight record. Input parameters are as follows: (1) Reflected Temperature: 74F; (2) Atmospheric Temperature: 81F; (3) Isotherm Threshold: 81.3F and (4) Emissivity: 0.98.","url":"https://doi.org/10.5281/zenodo.20151327","authors":["Mendiola, Melanie"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.20151327","addedAt":"2026-08-31T06:39:58.973Z","updatedAt":"2026-08-31T06:39:58.973Z"},{"id":"doi:10.48550/arxiv.2606.16644","name":"Enhancing Secret Key Generation for UAV Communications via Codeword Reconstruction","source":"datacite","abstract":"With the rapid advancement of unmanned aerial vehicle (UAV), ensuring the security of communication links among UAVs has become crucial. In this paper, we propose a novel physical layer key generation scheme based on channel codeword reconstruction. In UAV communications, the high mobility of aerial nodes leads to short channel coherence time, which together with noise causes inevitable channel estimation errors. These errors significantly degrades the performance of wireless channel-based key generation. Therefore, we propose a codeword construction algorithm that achieves a polarization characteristic, which effectively segregates reliable keys from unreliable ones. Compared to the existing quantization-based key generation scheme, our approach maximize the utilization of raw channel information and employ soft-decision decoding to generate key. Simulation results demonstrate that the proposed scheme reduces the key disagreement rate for legitimate users and increases the number of consistently generated keys. Furthermore, our method ensures a lower key consistency rate for eavesdropper, which guarantees system security.","url":"https://doi.org/10.48550/arxiv.2606.16644","authors":["Wang, Yizhuo","Du, Qinghe","Shen, Ning","Zhang, Shijiao","Zhao, Lei","Hu, Yang"],"tags":["Information Theory (cs.IT)","Systems and Control (eess.SY)","FOS: Computer and information sciences","FOS: Computer and information sciences","FOS: Electrical engineering, electronic engineering, information engineering","FOS: Electrical engineering, electronic engineering, information engineering"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.48550/arxiv.2606.16644","addedAt":"2026-08-31T06:39:58.973Z","updatedAt":"2026-08-31T06:39:58.973Z"},{"id":"doi:10.48550/arxiv.2606.16386","name":"Game-Theoretic Multi-Agent Reinforcement Learning for Swarm Trajectory Planning in Low-Altitude Wireless Networks","source":"datacite","abstract":"The Low-Altitude Economy (LAE) is rapidly expanding, giving rise to low-altitude wireless networks (LAWNs), where large-scale cellular-connected unmanned aerial vehicle (UAV) deployments support heterogeneous mission-critical applications over multi-cell ground base station (GBS) infrastructures. To ensure mission success, each UAV must jointly optimize communication throughput and mission completion efficiency. In fifth-generation (5G) new radio (NR) systems, the equal resource block (RB) allocation policy induces strong strategic coupling among UAV trajectories: when a UAV enters a GBS cell, it reduces the RB share available to all co-served UAVs, thereby altering their achievable rates and trajectory incentives through shared wireless resources. Existing studies either ignore this coupling or focus on single-cell infrastructure, leaving the multi-cell, congestion-aware UAV trajectory planning problem insufficiently addressed. To fill this gap, we formulate the problem as a cooperative stochastic congestion game with a communication-and-mission-aware utility function, and propose a centralized-training decentralized-execution multi-agent proximal policy optimization (CTDE-MAPPO) algorithm to maximize social welfare under multi-cell RB congestion. Simulation results show that the proposed method outperforms QMIX, independent Q-learning, and random baselines in terms of aggregate utility and mission success rate, while achieving stable convergence within practical training budgets.","url":"https://doi.org/10.48550/arxiv.2606.16386","authors":["Quang, Nguyen Duc Minh","Chong, Ruoxi","Wei, Zhiqiang","Liu, Chang","Ng, Derrick Wing Kwan"],"tags":["Computer Science and Game Theory (cs.GT)","FOS: Computer and information sciences","FOS: Computer and information sciences"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.48550/arxiv.2606.16386","addedAt":"2026-08-31T06:39:58.973Z","updatedAt":"2026-08-31T06:39:58.973Z"},{"id":"doi:10.3886/e249449v1","name":"Camp Swift Fire Experiment 2014: Active fire unmanned aerial vehicle (UAV) infrared aerial imagery and video","source":"datacite","abstract":"This data publication contains active-fire infrared (IR) videos and georeferenced individual video frames collected as part of a prescribed fire research campaign conducted at the Camp Swift Military Base in Bastrop County, Texas on January 15, 2014. The Camp Swift Fire Experiment 2014 consisted of three fires ignited in burn blocks of dimensions 100 meters (m) by 100 m on January 15, 2014. Fires were ignited on relatively flat areas of grass vegetation in moderate winds. Unmanned aerial vehicle EO active-fire video was recorded during each of the three fires. The video and image stills contained within this data package were collected with a Cloud Cap Goodrich TASE200 Electro-Optical(EO)/IR unit mounted on a MLB Company SuperBat III unmanned aerial vehicle (UAV). All active-fire videos where collected at an oblique angle. Still images from the active-fire video were exported and georeferenced using a set of ground-control points around each burn block.","url":"https://doi.org/10.3886/e249449v1","authors":["US Department of Agriculture","US Forest Service"],"tags":["environment","biota","imageryBaseMapsEarthCover","remote sensing","aerial imagery","infrared","UAS","electro-optical"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.3886/e249449v1","addedAt":"2026-08-31T06:39:58.973Z","updatedAt":"2026-08-31T06:39:58.973Z"},{"id":"doi:10.3886/e249449","name":"Camp Swift Fire Experiment 2014: Active fire unmanned aerial vehicle (UAV) infrared aerial imagery and video","source":"datacite","abstract":"This data publication contains active-fire infrared (IR) videos and georeferenced individual video frames collected as part of a prescribed fire research campaign conducted at the Camp Swift Military Base in Bastrop County, Texas on January 15, 2014. The Camp Swift Fire Experiment 2014 consisted of three fires ignited in burn blocks of dimensions 100 meters (m) by 100 m on January 15, 2014. Fires were ignited on relatively flat areas of grass vegetation in moderate winds. Unmanned aerial vehicle EO active-fire video was recorded during each of the three fires. The video and image stills contained within this data package were collected with a Cloud Cap Goodrich TASE200 Electro-Optical(EO)/IR unit mounted on a MLB Company SuperBat III unmanned aerial vehicle (UAV). All active-fire videos where collected at an oblique angle. Still images from the active-fire video were exported and georeferenced using a set of ground-control points around each burn block.","url":"https://doi.org/10.3886/e249449","authors":["US Department of Agriculture","US Forest Service"],"tags":["environment","biota","imageryBaseMapsEarthCover","remote sensing","aerial imagery","infrared","UAS","electro-optical"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.3886/e249449","addedAt":"2026-08-31T06:39:58.973Z","updatedAt":"2026-08-31T06:39:58.973Z"},{"id":"doi:10.3886/e249448v1","name":"Camp Swift Fire Experiment 2014: Active fire unmanned aerial vehicle (UAV) electro-optical aerial imagery and video","source":"datacite","abstract":"This data publication contains active-fire electro-optical (EO) videos and georeferenced individual video frames collected as part of a prescribed fire research campaign conducted at the Camp Swift Military Base in Bastrop County, Texas on January 15, 2014. The Camp Swift Fire Experiment 2014 consisted of three fires ignited in burn blocks of dimensions 100 meters (m) by 100 m on January 15, 2014. Fires were ignited on relatively flat areas of grass vegetation in moderate winds. Unmanned aerial vehicle EO active-fire video was recorded during each of the three fires. The video and image stills contained within this data package were collected with a Cloud Cap Goodrich TASE200 EO/Infrared (IR) unit mounted on an MLB Company SuperBat III unmanned aerial vehicle (UAV). All active-fire videos were collected at an oblique angle. Still images from the active-fire video were exported and georeferenced using a set of ground-control points around each burn block.","url":"https://doi.org/10.3886/e249448v1","authors":["US Department of Agriculture","US Forest Service"],"tags":["environment","biota","imageryBaseMapsEarthCover","remote sensing","aerial imagery","UAS","electro-optical","JFSP"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.3886/e249448v1","addedAt":"2026-08-31T06:39:58.973Z","updatedAt":"2026-08-31T06:39:58.973Z"},{"id":"doi:10.3886/e249448","name":"Camp Swift Fire Experiment 2014: Active fire unmanned aerial vehicle (UAV) electro-optical aerial imagery and video","source":"datacite","abstract":"This data publication contains active-fire electro-optical (EO) videos and georeferenced individual video frames collected as part of a prescribed fire research campaign conducted at the Camp Swift Military Base in Bastrop County, Texas on January 15, 2014. The Camp Swift Fire Experiment 2014 consisted of three fires ignited in burn blocks of dimensions 100 meters (m) by 100 m on January 15, 2014. Fires were ignited on relatively flat areas of grass vegetation in moderate winds. Unmanned aerial vehicle EO active-fire video was recorded during each of the three fires. The video and image stills contained within this data package were collected with a Cloud Cap Goodrich TASE200 EO/Infrared (IR) unit mounted on an MLB Company SuperBat III unmanned aerial vehicle (UAV). All active-fire videos were collected at an oblique angle. Still images from the active-fire video were exported and georeferenced using a set of ground-control points around each burn block.","url":"https://doi.org/10.3886/e249448","authors":["US Department of Agriculture","US Forest Service"],"tags":["environment","biota","imageryBaseMapsEarthCover","remote sensing","aerial imagery","UAS","electro-optical","JFSP"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.3886/e249448","addedAt":"2026-08-31T06:39:58.973Z","updatedAt":"2026-08-31T06:39:58.973Z"},{"id":"doi:10.3886/e249479v1","name":"Camp Swift Fire Experiment 2014: Post-fire unmanned aerial vehicle (UAV) imagery","source":"datacite","abstract":"This data publication contains raw and georeferenced post-fire aerial imagery collected as part of a prescribed fire research campaign conducted at the Camp Swift Military Base in Bastrop County, Texas on January 15, 2014. The Camp Swift Fire Experiment 2014 consisted of three fires ignited in burn blocks of dimensions 100 meters (m) by 100 m on January 15, 2014. Fires were ignited on relatively flat areas of grass vegetation in moderate winds. Post-fire aerial imagery was collected from a Canon©T3i mounted on a MLB Company SuperBat III unmanned aerial vehicle (UAV) after completion of the three burns. This data package contains five distinct georeferenced post-fire images and one mosaiced image of these five distinct images covering the three burn blocks.","url":"https://doi.org/10.3886/e249479v1","authors":["US Department of Agriculture","US Forest Service"],"tags":["environment","biota","imageryBaseMapsEarthCover","multispectral","aerial imagery","multispectral imagery","unmanned aerial vehicle","JFSP"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.3886/e249479v1","addedAt":"2026-08-31T06:39:58.973Z","updatedAt":"2026-08-31T06:39:58.973Z"},{"id":"doi:10.3886/e249479","name":"Camp Swift Fire Experiment 2014: Post-fire unmanned aerial vehicle (UAV) imagery","source":"datacite","abstract":"This data publication contains raw and georeferenced post-fire aerial imagery collected as part of a prescribed fire research campaign conducted at the Camp Swift Military Base in Bastrop County, Texas on January 15, 2014. The Camp Swift Fire Experiment 2014 consisted of three fires ignited in burn blocks of dimensions 100 meters (m) by 100 m on January 15, 2014. Fires were ignited on relatively flat areas of grass vegetation in moderate winds. Post-fire aerial imagery was collected from a Canon©T3i mounted on a MLB Company SuperBat III unmanned aerial vehicle (UAV) after completion of the three burns. This data package contains five distinct georeferenced post-fire images and one mosaiced image of these five distinct images covering the three burn blocks.","url":"https://doi.org/10.3886/e249479","authors":["US Department of Agriculture","US Forest Service"],"tags":["environment","biota","imageryBaseMapsEarthCover","multispectral","aerial imagery","multispectral imagery","unmanned aerial vehicle","JFSP"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.3886/e249479","addedAt":"2026-08-31T06:39:58.973Z","updatedAt":"2026-08-31T06:39:58.973Z"},{"id":"doi:10.3886/e249471v1","name":"Camp Swift Fire Experiment 2014: Pre-fire unmanned aerial vehicle (UAV) imagery","source":"datacite","abstract":"This data publication contains raw and georeferenced pre-fire aerial imagery collected as part of a prescribed fire research campaign conducted at the Camp Swift Military Base in Bastrop County, Texas on January 15, 2014. The Camp Swift Fire Experiment 2014 consisted of three fires ignited in burn blocks of dimensions 100 meters (m) by 100 m on January 15, 2014. Fires were ignited on relatively flat areas of grass vegetation in moderate winds. Pre-fire aerial imagery was collected from a Canon©T3i mounted on a MLB Company SuperBat III unmanned aerial vehicle (UAV) before the three burns on January 14, 2014. This data package contains five distinct georeferenced pre-fire images and one mosaiced image of these five distinct images covering the three burn blocks.","url":"https://doi.org/10.3886/e249471v1","authors":["US Department of Agriculture","US Forest Service"],"tags":["environment","biota","imageryBaseMapsEarthCover","UAS","JFSP","Joint Fire Science Program","Camp Swift Fire Experiment 2014","UAV"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.3886/e249471v1","addedAt":"2026-08-31T06:39:58.973Z","updatedAt":"2026-08-31T06:39:58.973Z"},{"id":"doi:10.3886/e249471","name":"Camp Swift Fire Experiment 2014: Pre-fire unmanned aerial vehicle (UAV) imagery","source":"datacite","abstract":"This data publication contains raw and georeferenced pre-fire aerial imagery collected as part of a prescribed fire research campaign conducted at the Camp Swift Military Base in Bastrop County, Texas on January 15, 2014. The Camp Swift Fire Experiment 2014 consisted of three fires ignited in burn blocks of dimensions 100 meters (m) by 100 m on January 15, 2014. Fires were ignited on relatively flat areas of grass vegetation in moderate winds. Pre-fire aerial imagery was collected from a Canon©T3i mounted on a MLB Company SuperBat III unmanned aerial vehicle (UAV) before the three burns on January 14, 2014. This data package contains five distinct georeferenced pre-fire images and one mosaiced image of these five distinct images covering the three burn blocks.","url":"https://doi.org/10.3886/e249471","authors":["US Department of Agriculture","US Forest Service"],"tags":["environment","biota","imageryBaseMapsEarthCover","UAS","JFSP","Joint Fire Science Program","Camp Swift Fire Experiment 2014","UAV"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.3886/e249471","addedAt":"2026-08-31T06:39:58.973Z","updatedAt":"2026-08-31T06:39:58.973Z"},{"id":"doi:10.3886/e249102v1","name":"Estimating fuel moisture in grasslands using UAV-mounted infrared and visible light sensors: MicaSense remote sensing data","source":"datacite","abstract":"This data publication consists of the complete set of raw images, orthomosaics created from these images, and ground control points (GCPs) from two unmanned aerial vehicle (UAV) flights over the Mazama Meadows site near Olympia, Washington on 09/22/2020. There are single-band images in five wavelengths - red, green, blue, red edge, and near infrared collected using a MicaSense RedEdge camera from the flights at 9:34am and 2:56pm. The drone flew at 3 meters per second at a height of 16 meters and the images were recorded once per second.","url":"https://doi.org/10.3886/e249102v1","authors":["US Department of Agriculture","US Forest Service"],"tags":["biota","environment","UAV","unmanned aerial vehicle","wildfire","infrared","remote sensing","MicaSense"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.3886/e249102v1","addedAt":"2026-08-31T06:39:58.973Z","updatedAt":"2026-08-31T06:39:58.973Z"},{"id":"doi:10.3886/e249154v1","name":"Estimating fuel moisture in grasslands using UAV-mounted infrared and visible light sensors: Tau remote sensing data","source":"datacite","abstract":"This data publication consists of the complete set of raw images, orthomosaics created from these images, and ground control points (GCPs) from two unmanned aerial vehicle (UAV) flights over the Mazama Meadows site near Olympia, Washington on 09/22/2020. There are single-band images for five wavelengths in visible and infrared collected using a MicaSense RedEdge camera, and one band in short-wave infrared (SWIR) collected using a FLIR Tau camera flown concurrently on flights at 9:34am and 2:56pm. The drone flew at 3 meters per second at a height of 16 meters and the images were recorded once per second.","url":"https://doi.org/10.3886/e249154v1","authors":["US Department of Agriculture","US Forest Service"],"tags":["biota","environment","UAV","unmanned aerial vehicle","wildfire","infrared","remote sensing","MicaSense"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.3886/e249154v1","addedAt":"2026-08-31T06:39:58.973Z","updatedAt":"2026-08-31T06:39:58.973Z"},{"id":"doi:10.3886/e249153v1","name":"Estimating fuel moisture in grasslands using UAV-mounted infrared and visible light sensors: Field data","source":"datacite","abstract":"This data publication consists of the weight before and after drying, along with other relevant information, of 120 grass plots at the Mazama Meadows site near Olympia, Washington on 09/22/2020. Each plot was destructively sampled and broken into three sample types roughly defined as: live (live vegetation), top (vegetation greater than 1 foot tall), and bottom (rest of the vegetation). Together these three samples represent the entire plot. These data were collected in order to characterize the \"ground truth\" for fuel moisture right after overhead imagery were collected from two unmanned aerial vehicle (UAV) flights at 9:34am and 2:56pm. Also included is a shapefile containing the geolocated polygons for each grass plot.","url":"https://doi.org/10.3886/e249153v1","authors":["US Department of Agriculture","US Forest Service"],"tags":["biota","environment","UAV","unmanned aerial vehicle","wildfire","infrared","remote sensing","MicaSense"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.3886/e249153v1","addedAt":"2026-08-31T06:39:58.973Z","updatedAt":"2026-08-31T06:39:58.973Z"},{"id":"doi:10.5281/zenodo.10978008","name":"Datasets of synthetic workflows for evaluating a multi-objective and multi-constrained scheduling approach for cyber-physical applications","source":"datacite","abstract":"These datasets of synthetic workflows (task graphs) were generated to evaluate the performance and scalability of a multi-objective and multi-constrained scheduling approach for workflow applications of various structures, sizes, and sensing/actuating requirements in a cyber-physical system (CPS) based on the edge-hub-cloud paradigm. The examined CPS comprised four edge devices (i.e., single-board computers, each attached to an unmanned aerial vehicle (UAV) equipped with sensors/actuators) interacting with a hub device (e.g., a laptop), which in turn communicated with a more computationally capable cloud server. All system devices featured heterogeneous multicore processors with different processing core failure rates and varied sensing/actuating or other specialized capabilities. Our objectives were the minimization of the overall latency, the minimization of the overall energy consumption, and the maximization of the overall reliability of the workflow application in the specific CPS, under deadline, reliability, memory, storage, energy, capability, and task precedence constraints. We generated 25 random task graphs with 10, 20, 30, 40, and 50 nodes (5 task graphs for each size), utilizing the Task Graphs For Free (TGFF) random task graph generator [1],[2]. Additional task parameters (e.g., execution time, power consumption, memory, storage, output data size, capability, reliability threshold) were included post-generation, using appropriate values. More details are provided in README.txt.References:[1] R. P. Dick, D. L. Rhodes, and W. Wolf, \"TGFF: Task graphs for free,\" Proceedings of the Sixth International Workshop on Hardware/Software Codesign (CODES/CASHE), 1998, pp. 97-101, doi: 10.1109/HSC.1998.666245.[2] R. P. Dick, D. L. Rhodes, and K. Vallerio, \"TGFF,\" https://robertdick.org/projects/tgff/.","url":"https://doi.org/10.5281/zenodo.10978008","authors":["Kouloumpris, Andreas","Stavrinides, Georgios L.","Michael, Maria K.","Theocharides, Theocharis"],"tags":["Cyber-physical systems","Scheduling","Edge-cloud continuum","Multi-objective optimization","Workflow applications"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.5281/zenodo.10978008","addedAt":"2026-08-31T06:39:58.973Z","updatedAt":"2026-08-31T06:39:58.973Z"},{"id":"doi:10.5281/zenodo.10978009","name":"Datasets of synthetic workflows for evaluating a multi-objective and multi-constrained scheduling approach for cyber-physical applications","source":"datacite","abstract":"These datasets of synthetic workflows (task graphs) were generated to evaluate the performance and scalability of a multi-objective and multi-constrained scheduling approach for workflow applications of various structures, sizes, and sensing/actuating requirements in a cyber-physical system (CPS) based on the edge-hub-cloud paradigm. The examined CPS comprised four edge devices (i.e., single-board computers, each attached to an unmanned aerial vehicle (UAV) equipped with sensors/actuators) interacting with a hub device (e.g., a laptop), which in turn communicated with a more computationally capable cloud server. All system devices featured heterogeneous multicore processors with different processing core failure rates and varied sensing/actuating or other specialized capabilities. Our objectives were the minimization of the overall latency, the minimization of the overall energy consumption, and the maximization of the overall reliability of the workflow application in the specific CPS, under deadline, reliability, memory, storage, energy, capability, and task precedence constraints. We generated 25 random task graphs with 10, 20, 30, 40, and 50 nodes (5 task graphs for each size), utilizing the Task Graphs For Free (TGFF) random task graph generator [1],[2]. Additional task parameters (e.g., execution time, power consumption, memory, storage, output data size, capability, reliability threshold) were included post-generation, using appropriate values. More details are provided in README.txt.References:[1] R. P. Dick, D. L. Rhodes, and W. Wolf, \"TGFF: Task graphs for free,\" Proceedings of the Sixth International Workshop on Hardware/Software Codesign (CODES/CASHE), 1998, pp. 97-101, doi: 10.1109/HSC.1998.666245.[2] R. P. Dick, D. L. Rhodes, and K. Vallerio, \"TGFF,\" https://robertdick.org/projects/tgff/.","url":"https://doi.org/10.5281/zenodo.10978009","authors":["Kouloumpris, Andreas","Stavrinides, Georgios L.","Michael, Maria K.","Theocharides, Theocharis"],"tags":["Cyber-physical systems","Scheduling","Edge-cloud continuum","Multi-objective optimization","Workflow applications"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.5281/zenodo.10978009","addedAt":"2026-08-31T06:39:58.973Z","updatedAt":"2026-08-31T06:39:58.973Z"},{"id":"doi:10.5281/zenodo.10357100","name":"Datasets of synthetic task graphs for evaluating a reliability and latency multi-objective task allocation framework","source":"datacite","abstract":"These datasets of synthetic task graphs were generated to evaluate the performance and scalability of a multi-objective task allocation approach for workflow applications of various structures and sizes in a system based on the edge-hub-cloud paradigm. The targeted architecture comprised an edge device (e.g., a single-board computer attached to an unmanned aerial vehicle (UAV)) interacting with a hub device (e.g., a laptop), which in turn communicated with a more computationally capable cloud server. The objectives were the maximization of the overall reliability and the minimization of the overall latency of the application, under memory, storage, energy, and task precedence constraints. We considered that a percentage of the tasks required fixed allocation on the edge or hub device. Each task had a different vulnerability factor (i.e., probability of failure) on each device. We generated nine task graphs of serial, parallel, and mixed (a combination of serial and parallel) structure with 10, 100, and 1000 nodes, utilizing the Task Graphs For Free (TGFF) random task graph generator [1]. Additional task parameters (e.g., execution time, power consumption, vulnerability factor, memory, storage, output data size) were included post-generation, using representative random values. More details are provided in README.txt. References: [1] R. P. Dick, D. L. Rhodes and W. Wolf, \"TGFF: Task graphs for free,\" Proceedings of the Sixth International Workshop on Hardware/Software Codesign (CODES/CASHE'98), Seattle, WA, USA, 1998, pp. 97-101, doi: 10.1109/HSC.1998.666245.","url":"https://doi.org/10.5281/zenodo.10357100","authors":["Kouloumpris, Andreas","Stavrinides, Georgios L.","Michael, Maria K.","Theocharides, Theocharis"],"tags":["Multi-objective optimization","task allocation","reliability","latency","workflow application","edge-hub-cloud"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2023","doi":"10.5281/zenodo.10357100","addedAt":"2026-08-31T06:39:58.973Z","updatedAt":"2026-08-31T06:39:58.973Z"},{"id":"doi:10.5281/zenodo.10357101","name":"Datasets of synthetic task graphs for evaluating a reliability and latency multi-objective task allocation framework","source":"datacite","abstract":"These datasets of synthetic task graphs were generated to evaluate the performance and scalability of a multi-objective task allocation approach for workflow applications of various structures and sizes in a system based on the edge-hub-cloud paradigm. The targeted architecture comprised an edge device (e.g., a single-board computer attached to an unmanned aerial vehicle (UAV)) interacting with a hub device (e.g., a laptop), which in turn communicated with a more computationally capable cloud server. The objectives were the maximization of the overall reliability and the minimization of the overall latency of the application, under memory, storage, energy, and task precedence constraints. We considered that a percentage of the tasks required fixed allocation on the edge or hub device. Each task had a different vulnerability factor (i.e., probability of failure) on each device. We generated nine task graphs of serial, parallel, and mixed (a combination of serial and parallel) structure with 10, 100, and 1000 nodes, utilizing the Task Graphs For Free (TGFF) random task graph generator [1]. Additional task parameters (e.g., execution time, power consumption, vulnerability factor, memory, storage, output data size) were included post-generation, using representative random values. More details are provided in README.txt. References: [1] R. P. Dick, D. L. Rhodes and W. Wolf, \"TGFF: Task graphs for free,\" Proceedings of the Sixth International Workshop on Hardware/Software Codesign (CODES/CASHE'98), Seattle, WA, USA, 1998, pp. 97-101, doi: 10.1109/HSC.1998.666245.","url":"https://doi.org/10.5281/zenodo.10357101","authors":["Kouloumpris, Andreas","Stavrinides, Georgios L.","Michael, Maria K.","Theocharides, Theocharis"],"tags":["Multi-objective optimization","task allocation","reliability","latency","workflow application","edge-hub-cloud"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2023","doi":"10.5281/zenodo.10357101","addedAt":"2026-08-31T06:39:58.973Z","updatedAt":"2026-08-31T06:39:58.973Z"},{"id":"doi:10.5281/zenodo.20504631","name":"Ague Cove Thermal Infrared Mapping (May 31, 2026 01:35-01:45)","source":"datacite","abstract":"This dataset was obtained using FLIR Vue TZ20R mounted on DJI Matrice 300 UAV in Ague Cove, Guam on May 31, 2026 from 01:35 to 01:45 (ChST) and includes raw unprocessed (1) thermal infrared images taken at 135 feet above ground level and (2) thermal infrared image taken at 310 feet above ground level, and (3) thermal infrared video recording. Input parameters are as follows: (1) Reflected Temperature: 75.2F; (2) Atmospheric Temperature: 79F; (3) Isotherm Threshold: 82.58F and (4) Emissivity: 0.98.","url":"https://doi.org/10.5281/zenodo.20504631","authors":["Mendiola, Melanie"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.20504631","addedAt":"2026-08-31T06:39:58.973Z","updatedAt":"2026-08-31T06:39:58.973Z"},{"id":"doi:10.5281/zenodo.20504632","name":"Ague Cove Thermal Infrared Mapping (May 31, 2026 01:35-01:45)","source":"datacite","abstract":"This dataset was obtained using FLIR Vue TZ20R mounted on DJI Matrice 300 UAV in Ague Cove, Guam on May 31, 2026 from 01:35 to 01:45 (ChST) and includes raw unprocessed (1) thermal infrared images taken at 135 feet above ground level and (2) thermal infrared image taken at 310 feet above ground level, and (3) thermal infrared video recording. Input parameters are as follows: (1) Reflected Temperature: 75.2F; (2) Atmospheric Temperature: 79F; (3) Isotherm Threshold: 82.58F and (4) Emissivity: 0.98.","url":"https://doi.org/10.5281/zenodo.20504632","authors":["Mendiola, Melanie"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.20504632","addedAt":"2026-08-31T06:39:58.973Z","updatedAt":"2026-08-31T06:39:58.973Z"},{"id":"doi:10.5281/zenodo.20504472","name":"Ague Cove Thermal Infrared Mapping (May 30, 2026 23:35-23:48)","source":"datacite","abstract":"This dataset was obtained using FLIR Vue TZ20R mounted on DJI Matrice 300 UAV in Ague Cove, Guam on May 30, 2026 from 23:35 to 23:48 (ChST) and includes raw unprocessed (1) thermal infrared images taken at 135 feet above ground level and (2) thermal infrared image taken at 310 feet above ground level, and (3) thermal infrared video recording. Input parameters are as follows: (1) Reflected Temperature: 72.5F; (2) Atmospheric Temperature: 79F; (3) Isotherm Threshold: 82.58F and (4) Emissivity: 0.98.","url":"https://doi.org/10.5281/zenodo.20504472","authors":["Mendiola, Melanie"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.20504472","addedAt":"2026-08-31T06:39:58.973Z","updatedAt":"2026-08-31T06:39:58.973Z"},{"id":"doi:10.5281/zenodo.20504473","name":"Ague Cove Thermal Infrared Mapping (May 30, 2026 23:35-23:48)","source":"datacite","abstract":"This dataset was obtained using FLIR Vue TZ20R mounted on DJI Matrice 300 UAV in Ague Cove, Guam on May 30, 2026 from 23:35 to 23:48 (ChST) and includes raw unprocessed (1) thermal infrared images taken at 135 feet above ground level and (2) thermal infrared image taken at 310 feet above ground level, and (3) thermal infrared video recording. Input parameters are as follows: (1) Reflected Temperature: 72.5F; (2) Atmospheric Temperature: 79F; (3) Isotherm Threshold: 82.58F and (4) Emissivity: 0.98.","url":"https://doi.org/10.5281/zenodo.20504473","authors":["Mendiola, Melanie"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.20504473","addedAt":"2026-08-31T06:39:58.973Z","updatedAt":"2026-08-31T06:39:58.973Z"},{"id":"doi:10.5281/zenodo.20504173","name":"Ague Cove Thermal Infrared Mapping (May 30, 2026 20:51-20:59)","source":"datacite","abstract":"This dataset was obtained using FLIR Vue TZ20R mounted on DJI Matrice 300 UAV in Ague Cove, Guam on May 30, 2026 from 20:51 to 20:59 (ChST) and includes raw unprocessed (1) thermal infrared images taken at 135 feet above ground level and (2) thermal infrared image taken at 310 feet above ground level, and (3) thermal infrared video recording. Input parameters are as follows: (1) Reflected Temperature: 75.2F; (2) Atmospheric Temperature: 84F; (3) Isotherm Threshold: 82.58F and (4) Emissivity: 0.98.","url":"https://doi.org/10.5281/zenodo.20504173","authors":["Mendiola, Melanie"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.20504173","addedAt":"2026-08-31T06:39:58.973Z","updatedAt":"2026-08-31T06:39:58.973Z"},{"id":"doi:10.5281/zenodo.20504172","name":"Ague Cove Thermal Infrared Mapping (May 30, 2026 20:51-20:59)","source":"datacite","abstract":"This dataset was obtained using FLIR Vue TZ20R mounted on DJI Matrice 300 UAV in Ague Cove, Guam on May 30, 2026 from 20:51 to 20:59 (ChST) and includes raw unprocessed (1) thermal infrared images taken at 135 feet above ground level and (2) thermal infrared image taken at 310 feet above ground level, and (3) thermal infrared video recording. Input parameters are as follows: (1) Reflected Temperature: 75.2F; (2) Atmospheric Temperature: 84F; (3) Isotherm Threshold: 82.58F and (4) Emissivity: 0.98.","url":"https://doi.org/10.5281/zenodo.20504172","authors":["Mendiola, Melanie"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.20504172","addedAt":"2026-08-31T06:39:58.973Z","updatedAt":"2026-08-31T06:39:58.973Z"},{"id":"doi:10.20944/preprints202603.0090.v1","name":"Circular Supply Chain Design for Sustainable Localization of High-Technology UAV Systems in Emerging Economies","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202603.0090.v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.20944/preprints202603.0090.v1","addedAt":"2026-08-31T06:39:58.974Z","updatedAt":"2026-08-31T06:40:02.908Z"},{"id":"doi:10.21203/rs.3.rs-8831053/v1","name":"Transmission Line Defect Detection via an Integrated Improved YOLOv8 and Deep Neural Random Forest Framework","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-8831053/v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.21203/rs.3.rs-8831053/v1","addedAt":"2026-08-31T06:39:58.974Z","updatedAt":"2026-08-31T06:40:02.908Z"},{"id":"doi:10.20944/preprints202604.0402.v1","name":"Deep Learning-Based Weed Detection and Classification in Wheat Fields from UAV Imagery","source":"europepmc","abstract":"Weed infestation significantly threatens crop productivity and quality, highlighting the need for accurate and scalable monitoring approaches. Recent advances in unmanned aerial vehicle (UAV) remote sensing and deep learning provide promising tools for field-scale weed detection. This study evaluates and compares two state-of-the-art instance segmentation models, Mask R-CNN and YOLOv8, for species-level weed detection in wheat fields under Mongolian agro-ecological conditions. The experiment was conducted in a 4 ha wheat field in Tuv Province, Mongolia, using high-resolution RGB imagery acquired from UAV flights in July 2025. Three dominant weed species were annotated and analyzed. Model performance was evaluated using mAP@0.5:0.95, Precision, Recall, F1-score, and mask IoU. At IoU thresholds of 0.25 and 0.5, both models demonstrated moderate detection performance (IoU = 0.25: Precision 0.49–0.76, Recall 0.20–0.77, F1-score 0.32–0.75; IoU = 0.5: Precision 0.42–0.67, Recall 0.18–0.75, F1-score 0.28–0.69), with variation among weed species. Mask R-CNN achieved higher Recall and more precise boundary delineation, improving weed coverage estimation, whereas YOLOv8 provided faster inference (≈11 ms per image, ~90 FPS) and higher precision, making it more suitable for large-area and near-real-time monitoring. These findings demonstrate the potential of UAV-based instance segmentation for weed detection in Mongolia and provide practical guidance for model selection in precision agriculture applications.","url":"https://doi.org/10.20944/preprints202604.0402.v1","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.20944/preprints202604.0402.v1","addedAt":"2026-08-31T06:39:58.974Z","updatedAt":"2026-08-31T06:40:05.995Z"},{"id":"doi:10.21203/rs.3.rs-8804651/v1","name":"Breaking the Paradigm of Stacking: A Minimalist Infrared Detection System Based on Meta-Composite Design with Athermalized Performance","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-8804651/v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.21203/rs.3.rs-8804651/v1","addedAt":"2026-08-31T06:39:58.974Z","updatedAt":"2026-08-31T06:40:02.908Z"},{"id":"doi:10.12688/openreseurope.21836.1","name":"Machine learning techniques applied in border crossing","source":"preprints","abstract":"","url":"https://doi.org/10.12688/openreseurope.21836.1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.12688/openreseurope.21836.1","addedAt":"2026-08-31T06:39:58.974Z","updatedAt":"2026-08-31T06:40:02.908Z"},{"id":"doi:10.20944/preprints202602.2026.v1","name":"Enhancing Greenhouse Pollination with CNN-Based Micro-UAV for Real-Time Flower Detection","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202602.2026.v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.20944/preprints202602.2026.v1","addedAt":"2026-08-31T06:39:58.974Z","updatedAt":"2026-08-31T06:40:02.908Z"},{"id":"doi:10.21203/rs.3.rs-9024484/v1","name":"Integration of UAV-Based Phenotyping Increases Reliability and Supports Modeling of Genotypic Responses to Environmental Covariates in Eucalyptus","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-9024484/v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.21203/rs.3.rs-9024484/v1","addedAt":"2026-08-31T06:39:58.974Z","updatedAt":"2026-08-31T06:40:02.908Z"},{"id":"doi:10.20944/preprints202602.0878.v1","name":"UAV-Based Soil Erosion Assessment in Mediterranean Agricultural Orchards","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202602.0878.v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.20944/preprints202602.0878.v1","addedAt":"2026-08-31T06:39:58.974Z","updatedAt":"2026-08-31T06:40:02.908Z"},{"id":"doi:10.21203/rs.3.rs-8394499/v1","name":"Robust Quadrotor Position Tracking via Fuzzy Adaptive with Outer-Loop Sliding Mode Control","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-8394499/v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.21203/rs.3.rs-8394499/v1","addedAt":"2026-08-31T06:39:58.974Z","updatedAt":"2026-08-31T06:40:02.908Z"},{"id":"doi:10.20944/preprints202601.1024.v1","name":"Reliable Layered Transmission and Task Offloading in UAV- Assisted MEC Networks for Disaster Relief","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202601.1024.v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.20944/preprints202601.1024.v1","addedAt":"2026-08-31T06:39:58.974Z","updatedAt":"2026-08-31T06:40:02.908Z"},{"id":"doi:10.64898/2026.03.26.713817","name":"Phenomic Prediction I: Plot-Level Prediction of Lodging Severity in Sorghum Breeding Trials Using UAV-Based Photogrammetric Height Data","source":"preprints","abstract":"","url":"https://doi.org/10.64898/2026.03.26.713817","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.64898/2026.03.26.713817","addedAt":"2026-08-31T06:39:58.974Z","updatedAt":"2026-08-31T06:40:02.908Z"},{"id":"doi:10.21203/rs.3.rs-8552708/v1","name":"UAV Phenotyping and Genomic Prediction of Ground Cover can Accelerate Organic Spring Cereal Breeding","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-8552708/v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.21203/rs.3.rs-8552708/v1","addedAt":"2026-08-31T06:39:58.974Z","updatedAt":"2026-08-31T06:40:02.908Z"},{"id":"doi:10.20944/preprints202601.0572.v1","name":"Topographic Influence on Cold-Air Pool Formation: A Case Study of the Eiras Valley (Coimbra, Portugal)","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202601.0572.v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.20944/preprints202601.0572.v1","addedAt":"2026-08-31T06:39:58.974Z","updatedAt":"2026-08-31T06:40:02.908Z"},{"id":"doi:10.20944/preprints202602.0151.v1","name":"<p class=\"MDPI13authornamesori1\" style=\"margin-bottom: 12.0pt; mso-line-height-alt: 14.0pt;\">Larch (<em>Larix sibirica</em> Ledeb.) and Poplar (<em>Populus laurifolia</em> Ledeb.) Are Moving into the Goby Desert","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202602.0151.v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.20944/preprints202602.0151.v1","addedAt":"2026-08-31T06:39:58.974Z","updatedAt":"2026-08-31T06:40:02.908Z"},{"id":"doi:10.47857/irjms.2025.v06i02.03380","name":"Hashed Control Unmanned Aerial Vehicle Communication","source":"crossref","abstract":"Unmanned air vehicles (UAVs) are becoming more prevalent in distant and inaccessible areas for monitoring and evacuation purposes. Yet, in such circumstances, UAVs face severe security threats, such as illegal access, breaches of information, and cyber-attacks. Conventional security mechanisms built for local networks (also known as WLAN) are ineffective for UAVs because of their low processing capability, memory, capacity, and the longevity of batteries. Although cryptography with public keys provides strong security, its computing requirements and extensive handling of keys make it unsuitable for UAV communication. Conversely, using symmetrical keys provides an efficient resource and scalable method for private information transfer. This paper offers a multifaceted security architecture for UAV networks based on the standards defined by IEEE 802.11. The structure has four important levels. The initial layer uses a GA (genetic algorithm) to improve cluster head (CH) selection. This increases energy-efficient networking by optimizing intra-cluster communications, CH separation from the central station, and overall nodal energy. The following layer incorporates Hashed Messaging Authentication Coding (HAC) to provide safe data accumulation, reduce overhead, and mitigate security concerns. The next layer uses bilateral key management via single-direction hashing to ensure secure communication across UAV nodes, reducing the effect of stolen nodes. Finally, the final layer employs Broadcasting Tree Construction to reduce the cost of communication, uncover wayward nodes, and enhance network connection by optimizing path choosing. The proposed architecture tackles UAV-specific difficulties by providing an expandable, trustworthy, green solution that enhances performance and resistance to emerging threats.","url":"https://doi.org/10.47857/irjms.2025.v06i02.03380","authors":["Reshma C Sonawane","A Muthukrishnan"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-05-07T07:28:00Z","doi":"10.47857/irjms.2025.v06i02.03380","addedAt":"2026-08-31T06:39:59.254Z","updatedAt":"2026-08-31T06:39:59.254Z"},{"id":"doi:10.1109/acit65614.2025.11185618","name":"Web-based User Interface for Unmanned Aerial Vehicle","source":"crossref","abstract":"","url":"https://doi.org/10.1109/acit65614.2025.11185618","authors":["Asad Saeed Khan"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-10-09T17:50:58Z","doi":"10.1109/acit65614.2025.11185618","addedAt":"2026-08-31T06:39:59.254Z","updatedAt":"2026-08-31T06:39:59.254Z"},{"id":"doi:10.25236/ijfs.2025.070208","name":"Research on Tort Liability Regulation of Unmanned Aerial Vehicle Logistics Distribution","source":"crossref","abstract":"","url":"https://doi.org/10.25236/ijfs.2025.070208","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-04-02T02:10:53Z","doi":"10.25236/ijfs.2025.070208","addedAt":"2026-08-31T06:39:59.254Z","updatedAt":"2026-08-31T06:39:59.254Z"},{"id":"doi:10.2514/6.2025-2188","name":"Trajectory Optimization for a Battery-Less Solar-Powered Unmanned Aerial Vehicle","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2025-2188","authors":["Julian L. Powers","Adrian Lozano-Duran"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-02-12T10:03:43Z","doi":"10.2514/6.2025-2188","addedAt":"2026-08-31T06:39:59.254Z","updatedAt":"2026-08-31T06:39:59.254Z"},{"id":"doi:10.1016/j.cie.2025.111005","name":"Electric vehicle charging on the go via unmanned aerial vehicle: Optimal charging policy","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.cie.2025.111005","authors":["Byeongmok Kim","Seokcheon Lee"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-02-27T16:17:29Z","doi":"10.1016/j.cie.2025.111005","addedAt":"2026-08-31T06:39:59.254Z","updatedAt":"2026-08-31T06:39:59.254Z"},{"id":"doi:10.15302/j-sscae-2024.12.017","name":"Low-Altitude Unmanned Aerial Vehicle Technology: Current Status and Prospects","source":"crossref","abstract":"","url":"https://doi.org/10.15302/j-sscae-2024.12.017","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-06-06T06:22:48Z","doi":"10.15302/j-sscae-2024.12.017","addedAt":"2026-08-31T06:39:59.254Z","updatedAt":"2026-08-31T06:39:59.254Z"},{"id":"doi:10.1007/979-8-8688-1047-3_14","name":"Fundamentals and Applications of Unmanned Aerial Vehicle Swarms","source":"crossref","abstract":"","url":"https://doi.org/10.1007/979-8-8688-1047-3_14","authors":["Zahid Ullah Khan","Faheem Khan","Rahim Khan","Sohaib Bin Altaf Khattak","Moustafa M. Nasralla","M. A. Al-Khasawneh","Inam Ullah"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-02-27T20:30:37Z","doi":"10.1007/979-8-8688-1047-3_14","addedAt":"2026-08-31T06:39:59.254Z","updatedAt":"2026-08-31T06:39:59.254Z"},{"id":"doi:10.1109/admit67050.2025.11337086","name":"An Improved Yolov11 Model for Small Object Detection in Unmanned Aerial Vehicle Aerial Images","source":"crossref","abstract":"","url":"https://doi.org/10.1109/admit67050.2025.11337086","authors":["Wenchen Wu","Hanyu Xian","Tao Yan"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-01-21T21:06:31Z","doi":"10.1109/admit67050.2025.11337086","addedAt":"2026-08-31T06:39:59.254Z","updatedAt":"2026-08-31T06:39:59.254Z"},{"id":"doi:10.1109/leficlu65987.2025","name":"2025 Low-Altitude Economy Forum &amp;amp; International Conference on Low-Altitude Flight Technology and Unmanned Aerial Vehicle Application (LEF &amp;amp; ICLU)","source":"crossref","abstract":"","url":"https://doi.org/10.1109/leficlu65987.2025","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-12-19T18:57:42Z","doi":"10.1109/leficlu65987.2025","addedAt":"2026-08-31T06:39:59.254Z","updatedAt":"2026-08-31T06:39:59.254Z"},{"id":"doi:10.14489/vkit.2025.12.pp.003-012","name":"OPTIMAL CONTROL OF UNMANNED AERIAL VEHICLE GROUP","source":"crossref","abstract":"Currently, numerous studies are being conducted in unmanned aerial vehicle (UAV) control. The problem of controlling a UAV group is of particular interest. This article solves the group control problem for UAVs in the lateral plane while preserving optimization solutions. The control problem is formulated in a deterministic setting. Group control is implemented using a \"leader-follower\" approach. A mathematical model for the aircraft's center of mass motion was used for optimal control synthesis. A mathematical model representing the aircraft as a rigid body was used for simulation modeling. The leader aircraft control is formed based on the maximum principle using a control structure correction algorithm. The control structure includes segments with limit load factor values and singular control. Structure correction is carried out by controlling the switching times between these segments. The follower object motion is ensured along a trajectory oriented on the leader's movement. For simulation, the leader trajectory curvature is recalculated into the follower trajectory curvature considering a given lateral deviation. The follower's rudder deflection angle is determined by a reference value, set via the computed curvature value, and terms corresponding to PI-, PD-, or PID-regulators. The regulator weighting coefficients were determined using known analytical expressions for A.A. Krasovsky's self-organizing optimal regulator, for which they are special cases. The algorithm also used a PID-regulator to maintain the required follower UAV distance along the leader's trajectory. Numerical simulation was performed for various configuration options. Calculations using aircraft simulation models demonstrate that the proposed algorithm enables group control for vehicles while preserving optimization solutions.","url":"https://doi.org/10.14489/vkit.2025.12.pp.003-012","authors":["S. A. Kabanov","E. V. Polkovnikov"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-03-15T22:16:35Z","doi":"10.14489/vkit.2025.12.pp.003-012","addedAt":"2026-08-31T06:39:59.254Z","updatedAt":"2026-08-31T06:39:59.254Z"},{"id":"doi:10.1186/s44147-025-00590-3","name":"Unmanned aerial vehicle aerial image stitching method based on superpixel segmentation","source":"crossref","abstract":"Abstract Addressing the issues of long processing time, high computational complexity, and poor stitching quality in existing methods for unmanned aerial vehicle (UAV) aerial image stitching, this paper proposes an aerial image stitching method based on similar region estimation. Firstly, the input set of UAV aerial images is subjected to superpixel segmentation to estimate similar regions among the images. Secondly, an improved SIFT algorithm is used to extract and match feature points within the similar regions across the image set. Finally, based on the obtained matching points, an improved optimal seam-line algorithm and a weighted average fusion algorithm are employed to fuse the images, resulting in the stitched aerial image. Experimental validation using the public dataset UAV-image-mosaicing dataset demonstrates that our method achieves nearly double the speed of feature extraction compared to traditional feature extraction algorithms and triples the feature matching rate. Furthermore, compared to mainstream UAV aerial image stitching methods, our approach reduces time consumption by half while improving the stitching image evaluation metrics of SSIM, MAE, and PSNR by approximately 5% on average.","url":"https://doi.org/10.1186/s44147-025-00590-3","authors":["Zhiyou Lian","Jianhua Ren"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-02-01T11:35:40Z","doi":"10.1186/s44147-025-00590-3","addedAt":"2026-08-31T06:39:59.254Z","updatedAt":"2026-08-31T06:39:59.254Z"},{"id":"doi:10.1061/9780784486269.197","name":"Intelligent Traffic State Recognition for Expressways Using Unmanned Aerial Vehicle Data","source":"crossref","abstract":"","url":"https://doi.org/10.1061/9780784486269.197","authors":["Haonan Wang","Mengmeng Zhang","Qinghai Lin","Xujiayin Zhao"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-10-23T10:03:28Z","doi":"10.1061/9780784486269.197","addedAt":"2026-08-31T06:39:59.254Z","updatedAt":"2026-08-31T06:39:59.254Z"},{"id":"doi:10.36652/0869-4931-2025-79-5-203-205","name":"Distributed system of onboard computers for a small unmanned aerial vehicle","source":"crossref","abstract":"A system of onboard reservation of an unmanned aerial vehicle based on a system of distributed onboard computers is developed. The system’s performance is tested on a prototype aircraft. Keywords distributed onboard computer system, reservation system, unmanned aerial vehicle","url":"https://doi.org/10.36652/0869-4931-2025-79-5-203-205","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-06-02T10:15:35Z","doi":"10.36652/0869-4931-2025-79-5-203-205","addedAt":"2026-08-31T06:39:59.254Z","updatedAt":"2026-08-31T06:39:59.254Z"},{"id":"doi:10.1109/cieec64805.2025.11116385","name":"Interoperability Analysis of Wireless Charging Systems for Electric Vehicle and Unmanned Aerial Vehicle","source":"crossref","abstract":"","url":"https://doi.org/10.1109/cieec64805.2025.11116385","authors":["YuWang Zhang","ZhaoHui Zang","WenXin Lei","ZhiHong Xue"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-08-15T18:11:43Z","doi":"10.1109/cieec64805.2025.11116385","addedAt":"2026-08-31T06:39:59.254Z","updatedAt":"2026-08-31T06:39:59.254Z"},{"id":"doi:10.5505/pajes.2025.22378","name":"Two-stage Unmanned Aerial Vehicle (UAV) Assisted Pickup and Delivery Routing Problem","source":"crossref","abstract":"","url":"https://doi.org/10.5505/pajes.2025.22378","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-10-17T09:04:50Z","doi":"10.5505/pajes.2025.22378","addedAt":"2026-08-31T06:39:59.254Z","updatedAt":"2026-08-31T06:39:59.254Z"},{"id":"doi:10.23919/ccc64809.2025.11179549","name":"Visual Coverage Control for Multiple Unmanned Aerial Vehicle Systems","source":"crossref","abstract":"","url":"https://doi.org/10.23919/ccc64809.2025.11179549","authors":["Kaiqi Yang","Xiaoli Wang","Hengyu Yang","Wei Xie"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-10-10T17:34:54Z","doi":"10.23919/ccc64809.2025.11179549","addedAt":"2026-08-31T06:39:59.254Z","updatedAt":"2026-08-31T06:39:59.254Z"},{"id":"doi:10.18127/j00338486-202505-12","name":"Simulation of a multi-position phase direction finder based on an unmanned aerial vehicle","source":"crossref","abstract":"Problem statement. The requirements for the system for determining radio sources involve increasing the effectiveness of radio intelligence in the tactical and operational level of the ground forces by detecting and determining the direction of the enemy's radio source. In this regard, the use of digital twin technology to implement a multi-position direction finder based on an unmanned aerial vehicle to detect enemy radio sources is an urgent task. Goal. To carry out mathematical modeling of a multi-position direction finder in conditions of use in the on-board equipment of an unmanned aerial vehicle and analyze the results obtained. Result. The results of the implementation of the technology of digital twins of a multi-position direction finder are presented. Mathematical modeling of a direction finder operating in the range of 1...7 GHz using the phase method is carried out. The antenna system of the direction finder is calculated, consisting of four antenna elements with a minimum distance of 49 mm between them. It is shown that this distance provides the smallest number of uncertainty hypotheses at the maximum frequency of the operating range and the maximum distance between the antenna elements required for a given accuracy at the minimum frequency of the operating range. It has been established that the combined use of the combined phase and quasi-difference rangefinder method makes it possible to increase the accuracy of determining the location of radio sources. The possibility of using one unmanned aerial vehicle to the developed system has been confirmed to ensure the accuracy requirements for determining radio sources up to 300 m in the frequency ranges L, 5 and C, where the accuracy of the coordinates of radio sources is determined by the quasi-difference rangefinder method, and the phase method is used to eliminate ambiguity. Practical significance. The presented combined phase and quasi-difference rangefinder method can be used in the on-board equipment of an unmanned aerial vehicle.","url":"https://doi.org/10.18127/j00338486-202505-12","authors":["B.B. Nikolenko","A.E. Latyshev"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-08-14T10:21:07Z","doi":"10.18127/j00338486-202505-12","addedAt":"2026-08-31T06:39:59.254Z","updatedAt":"2026-08-31T06:39:59.254Z"},{"id":"doi:10.2139/ssrn.5839967","name":"Fractional-Order Adaptive Fixed-Time Fault-Tolerant control for Quadrotor Unmanned Aerial Vehicle","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.5839967","authors":["Zhen Zhou","Hai-Yang Yu","Yu-Chen Liu"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-12-01T14:42:08Z","doi":"10.2139/ssrn.5839967","addedAt":"2026-08-31T06:39:59.254Z","updatedAt":"2026-08-31T06:39:59.254Z"},{"id":"doi:10.1364/fio.2025.jtu4a.23","name":"Unmanned Aerial Vehicle Characteristics Using a Scanning Beamlet Array","source":"crossref","abstract":"This paper introduces a method that leverages frequency diversity in a scanning optical source to extract distinctive features of an unmanned aerial vehicle (UAV) using a single photodetector in a bistatic sensing configuration.","url":"https://doi.org/10.1364/fio.2025.jtu4a.23","authors":["J. Keith Miller","Eric G. Johnson"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-01-29T11:09:36Z","doi":"10.1364/fio.2025.jtu4a.23","addedAt":"2026-08-31T06:39:59.254Z","updatedAt":"2026-08-31T06:39:59.254Z"},{"id":"doi:10.1109/itsc60802.2025.11423134","name":"Collaborating Unmanned Aerial Vehicle and Connected Vehicle for Macro-Micro Traffic Monitoring With Minimum Uncertainty","source":"crossref","abstract":"","url":"https://doi.org/10.1109/itsc60802.2025.11423134","authors":["Chaopeng Tan","Jiarong Yao","Meng Wang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-03-16T20:10:23Z","doi":"10.1109/itsc60802.2025.11423134","addedAt":"2026-08-31T06:39:59.254Z","updatedAt":"2026-08-31T06:39:59.254Z"},{"id":"doi:10.1061/9780784486269.073","name":"Preparation and Simulation Analysis of Carbon Fiber Structure Batteries in Unmanned Aerial Vehicle Systems","source":"crossref","abstract":"","url":"https://doi.org/10.1061/9780784486269.073","authors":["Xingjie Zhang","Chunzhi Du","Sihan Liu"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-10-23T10:03:28Z","doi":"10.1061/9780784486269.073","addedAt":"2026-08-31T06:39:59.254Z","updatedAt":"2026-08-31T06:39:59.254Z"},{"id":"doi:10.2514/6.2025-0320","name":"Guidance and Control of an Unmanned Aerial Vehicle Along Energy Optimal Trajectories","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2025-0320","authors":["Roser Berenguer Bertran","Felix Biertümpfel","Harald Pfifer"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-02-12T09:44:16Z","doi":"10.2514/6.2025-0320","addedAt":"2026-08-31T06:39:59.254Z","updatedAt":"2026-08-31T06:39:59.254Z"},{"id":"doi:10.52202/083767-0012","name":"Research on Path Optimization for Unmanned Aerial Vehicle Logistics Delivery","source":"crossref","abstract":"","url":"https://doi.org/10.52202/083767-0012","authors":["LIU Xingyu","WANG Zhongwei"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-01-16T14:22:39Z","doi":"10.52202/083767-0012","addedAt":"2026-08-31T06:39:59.254Z","updatedAt":"2026-08-31T06:39:59.254Z"},{"id":"doi:10.1109/icus66297.2025.11295366","name":"Optimizing Unmanned Aerial Vehicle Swarm Mission Chains with Communication Coupling Considerations","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icus66297.2025.11295366","authors":["Minze Xu","Tielin Ma","Xiaohong Wang","Lizhi Wang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-12-23T18:28:29Z","doi":"10.1109/icus66297.2025.11295366","addedAt":"2026-08-31T06:39:59.254Z","updatedAt":"2026-08-31T06:39:59.254Z"},{"id":"doi:10.47297/wspdecwsp2515-797303.20250907","name":"A Review of the Application of Unmanned Aerial Vehicle in Low-altitude Economy","source":"crossref","abstract":"","url":"https://doi.org/10.47297/wspdecwsp2515-797303.20250907","authors":["Jiang Beichen"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-10-15T03:15:19Z","doi":"10.47297/wspdecwsp2515-797303.20250907","addedAt":"2026-08-31T06:39:59.254Z","updatedAt":"2026-08-31T06:39:59.807Z"},{"id":"doi:10.3390/drones9050350","name":"Thermal Management for Unmanned Aerial Vehicle Payloads: Mechanisms, Systems, and Applications","source":"crossref","abstract":"Unmanned aerial vehicles (UAVs) are emerging as powerful tools for transporting temperature-sensitive payloads, including medical supplies, biological samples, and research materials, to remote or hard-to-reach locations. Effective thermal management is essential for maintaining payload integrity, especially during extended flights or harsh environmental conditions. This review presents a comprehensive analysis of temperature control mechanisms for UAV payloads, covering both passive and active strategies. Passive systems, such as phase-change materials and high-performance insulation, provide energy-efficient solutions for short-duration flights. In contrast, active systems, including thermoelectric cooling modules and Joule heating elements, offer precise temperature regulation for more demanding applications. We examined case studies that highlight the integration of these technologies in real-world UAV applications, such as vaccine delivery, blood sample transport, and in-flight polymerase chain reaction diagnostics. Additionally, we discussed critical design considerations, including power efficiency, payload capacity, and the impact of thermal management on flight endurance. We then presented an outlook on emerging technologies, such as hybrid power systems and smart feedback control loops, which promise to enhance UAV-based thermal management. This work aimed to guide researchers and practitioners in advancing thermal control technologies, enabling reliable, efficient, and scalable solutions for temperature-sensitive deliveries using UAVs.","url":"https://doi.org/10.3390/drones9050350","authors":["Ganapathi Pamula","Ashwin Ramachandran"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-05-05T21:42:09Z","doi":"10.3390/drones9050350","addedAt":"2026-08-31T06:39:59.254Z","updatedAt":"2026-08-31T06:39:59.254Z"},{"id":"doi:10.32604/cmc.2024.059123","name":"Robust Backstepping Control of a Quadrotor Unmanned Aerial Vehicle under Colored Noises","source":"crossref","abstract":"","url":"https://doi.org/10.32604/cmc.2024.059123","authors":["Mehmet Karahan"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-01-03T01:28:16Z","doi":"10.32604/cmc.2024.059123","addedAt":"2026-08-31T06:39:59.254Z","updatedAt":"2026-08-31T06:39:59.254Z"},{"id":"doi:10.1016/b978-0-443-29861-5.00024-x","name":"Unmanned aerial vehicle application in civil structures monitoring via deep learning","source":"crossref","abstract":"","url":"https://doi.org/10.1016/b978-0-443-29861-5.00024-x","authors":["Wael A. Altabey","Mohammad Noori"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-04-29T09:09:20Z","doi":"10.1016/b978-0-443-29861-5.00024-x","addedAt":"2026-08-31T06:39:59.254Z","updatedAt":"2026-08-31T06:39:59.254Z"},{"id":"doi:10.1109/icieam65163.2025.11028162","name":"Digital Twins of Unmanned Aerial Vehicle Telemetry Sensors","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icieam65163.2025.11028162","authors":["O. G. Shishkin","V. M. Khachumov"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-06-13T17:47:54Z","doi":"10.1109/icieam65163.2025.11028162","addedAt":"2026-08-31T06:39:59.254Z","updatedAt":"2026-08-31T06:39:59.254Z"},{"id":"doi:10.18127/j00338486-202507-08","name":"Designing a video data transmission system from a unmanned aerial vehicle","source":"crossref","abstract":"Problem statement. The development of an effective video data transmission system from an unmanned aerial vehicle (UAV) requires the use of modern modulation technologies. Orthogonal Frequency Division Multiplexing (OFDM) is a promising solution that provides high-speed data transmission and resistance to multipath propagation of the signal typical for communication channels with UAVs. An effective OFDM system will allow real-time video data transmission from UAVs to the ground, opening up new possibilities for monitoring, surveillance and other applications. Goal. Development of the OFDM digital system for the transmission channel of video data from UAVs, which allows to achieve high bandwidth data transmission over a downlink. Results. The simulation results show that the proposed system structure, including an encoder and a quadrature amplitude modulation converter, ensures reliable data modulation. The generation of signals in the I-Q plane allows efficient use of the frequency band, which ensures resistance to multipath and interference. Practical significance. The results obtained make it possible to achieve significant data transfer speeds, which is critical for video communications, where delays or packet loss can negatively affect the quality of the resulting image.","url":"https://doi.org/10.18127/j00338486-202507-08","authors":["A.V. Turetsky","I.V. Sviridova","M.V. Khoroshailova"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-08-14T11:35:07Z","doi":"10.18127/j00338486-202507-08","addedAt":"2026-08-31T06:39:59.254Z","updatedAt":"2026-08-31T06:39:59.254Z"},{"id":"doi:10.1515/9783111619323","name":"Quantum Unmanned Aerial Vehicle","source":"crossref","abstract":"","url":"https://doi.org/10.1515/9783111619323","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-08-04T11:29:17Z","doi":"10.1515/9783111619323","addedAt":"2026-08-31T06:39:59.254Z","updatedAt":"2026-08-31T06:39:59.254Z"},{"id":"doi:10.1093/inteam/vjae043","name":"Identification and treatment of false methane values produced by the tunable diode laser absorption spectroscopy technology equipped on unmanned aerial vehicles.","source":"europepmc","abstract":"","url":"https://doi.org/10.1093/inteam/vjae043","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.1093/inteam/vjae043","addedAt":"2026-08-31T06:39:59.254Z","updatedAt":"2026-08-31T06:40:05.993Z"},{"id":"doi:10.3390/s26123796","name":"GHM-DEIM: An Improved DEIM-Based Framework for Subtle and Scale-Variant Thermal Anomaly Detection in Photovoltaic UAV Infrared Imagery.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s26123796","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.3390/s26123796","addedAt":"2026-08-31T06:39:59.254Z","updatedAt":"2026-08-31T06:40:05.993Z"},{"id":"doi:10.3390/plants15132044","name":"Regional-Scale Estimation of Maize Plant Moisture Content in Arid Regions Integrating Multi-Source Remote Sensing and Machine Learning.","source":"europepmc","abstract":"Agricultural production in arid regions is strongly constrained by water stress, making timely evaluation of crop water conditions increasingly important. However, conventional measurements of plant moisture content (PMC) primarily rely on destructive oven-drying methods, which are not only labor-intensive and time-consuming but also constrained by limited sample size and spatial coverage. These shortcomings make it difficult to capture the spatial heterogeneity of crop water status across large agricultural regions, thereby restricting regional-scale water diagnosis and precision irrigation decision-making. Focusing on silage maize cultivated in the arid region of Gansu Province, China, this work develops a regional PMC estimation approach by combining multi-source remote sensing data. High-resolution unmanned aerial vehicle (UAV) observations were integrated with Sentinel-2 and Sentinel-3 imagery, while radiometric and temperature corrections were applied to improve data consistency. A set of spectral, textural, and thermal features was derived from multispectral, visible, and thermal infrared datasets. Feature selection based on Pearson correlation was then carried out, followed by the construction of three models, namely Random Forest (RF), Support Vector Machine (SVM), and Partial Least Squares Regression (PLSR). Among them, the RF model performed more reliably, achieving a validation R 2 of 0.92 with relatively low prediction error. In addition, calibration using UAV data led to a clear improvement in satellite-based estimates, with R 2 increasing from 0.52-0.62 to 0.71-0.74. The generated PMC maps captured both the temporal decline during the growing season and the spatial variability across the study area. Overall, the proposed approach offers a practical option for large-scale monitoring of crop water status and can support irrigation management in water-limited environments.","url":"https://doi.org/10.3390/plants15132044","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.3390/plants15132044","addedAt":"2026-08-31T06:39:59.254Z","updatedAt":"2026-08-31T06:40:05.993Z"},{"id":"doi:10.1007/s10661-025-14927-1","name":"Integrating multi-source data for canopy gap detection and distribution modeling in a mixed forest ecosystem.","source":"europepmc","abstract":"","url":"https://doi.org/10.1007/s10661-025-14927-1","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.1007/s10661-025-14927-1","addedAt":"2026-08-31T06:39:59.254Z","updatedAt":"2026-08-31T06:40:05.993Z"},{"id":"doi:10.1038/s41598-025-26232-5","name":"Three-learning strategy particle swarm optimization for air-ground collaborative logistics transportation scheduling problem with pickup and delivery considering customer priorities.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41598-025-26232-5","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.1038/s41598-025-26232-5","addedAt":"2026-08-31T06:39:59.254Z","updatedAt":"2026-08-31T06:40:08.030Z"},{"id":"doi:10.1016/j.isatra.2025.10.019","name":"Adaptive fault-tolerant control with prescribed performance for flapping-wing micro aerial vehicles.","source":"pubmed","abstract":"This study addresses the control challenge associated with flapping-wing micro aerial vehicles (FWMAVs) with predetermined performance indicators. We concentrate on formulating a viable, model-based control methodology that accounts for actuator failures and meets prescribed performance specifications, ensuring that the tracking error converges to a prescribed bound within a finite time. A barrier Lyapunov function constrains the flight state within prescribed performance specifications, while the Nussbaum function addresses time-varying actuator failures. Utilizing Lyapunov stability theory, we analyze the system's stability. Simulations validate the proposed approach for FWMAVs, demonstrating robust trajectory tracking under actuator faults while satisfying the prescribed performance.","url":"https://doi.org/10.1016/j.isatra.2025.10.019","authors":["Wen Q","Huang H","Qin J","He W","Zhang D","He X"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.1016/j.isatra.2025.10.019","addedAt":"2026-08-31T06:39:59.254Z","updatedAt":"2026-08-31T06:40:05.993Z"},{"id":"doi:10.13287/j.1001-9332.202510.031","name":"Segmentation algorithm of &lt;i&gt;Ochotona curzoniae&lt;/i&gt;-induced bare patches in alpine meadow based on deep lear-ning.","source":"europepmc","abstract":"","url":"https://doi.org/10.13287/j.1001-9332.202510.031","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.13287/j.1001-9332.202510.031","addedAt":"2026-08-31T06:39:59.254Z","updatedAt":"2026-08-31T06:40:05.993Z"},{"id":"doi:10.1136/bmjopen-2025-110957","name":"Environmental exposome study for prostate cancer in elderly men from Western China: preliminary findings from a case-control study in the WeEndPd cohort.","source":"europepmc","abstract":"","url":"https://doi.org/10.1136/bmjopen-2025-110957","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.1136/bmjopen-2025-110957","addedAt":"2026-08-31T06:39:59.254Z","updatedAt":"2026-08-31T06:40:05.993Z"},{"id":"doi:10.1016/j.envres.2026.123986","name":"The planetary boundary layer top as a valve: Unraveling bidirectional aerosol transport.","source":"pubmed","abstract":"Cross-boundary transport at the planetary boundary layer (PBL) top regulates aerosol vertical structure. Using unmanned aerial vehicle (UAV) profiles along the Jiangsu coast (March-April 2025), we quantify bidirectional aerosol exchange across the PBL top (PBLt). The results suggest that diurnal PBL variation controls transport direction under the observed coastal conditions. During PBL ascent, aerosols are transported from the base of the free troposphere (FTb) into PBLt, while during PBL descent, the flow reverses from PBLt to FTb. During PBL growth, FTb-to-PBLt transport dominates under all three conditions, though driven by distinct mechanisms. On cleaning days, significant PBL growth (reaching 1500-1750&#xa0;m) and a strong upward aerosol number concentration (Na) gradient (peaking at 12.76&#xa0;cm -3 /m) by 16:00LT indicated approaching transport reversal. During haze, suppressed PBL height (550-600m) corresponded to weakened FTb-to-PBLt transport activity. For external aerosol intrusion, direct contact between the external aerosol layer and the PBLt, combined with downdrafts and PBL uplift, enhanced FTb to PBLt input from 13:00-16:00LT. During the descent phase, PBLt-to-FTb export occurred in all cases, with duration modulated by stability and surface wind fields. On cleaning days, minimal nocturnal PBL height (100-150m) initially favored PBLt-to-FTb transport until a low-level jet (LLJ) reversed the direction. During haze, an earlier PBL collapse (to 100m by 19:00LT) and premature LLJ onset shortened the export phase. Under external aerosol intrusion, extreme nocturnal stability (PBL: 50m), surface inversion, and absent wind shear nearly halted cross-layer transport after 22:00LT. The Na gradient and aerosol transport showed significant variations based on weather type and diurnal variations. During PBL growth (07:00-16:00LT), the upward gradient strengthened toward 16:00LT and peaked at 12.76&#xa0;cm -3 /m (clean), 4.44&#xa0;cm -3 /m (haze), and 1.57&#xa0;cm -3 /m (intrusion). During PBL decay, the Na gradient weakens, with a downward gradient at the PBL minimum (22:00LT; 4.10&#xa0;cm -3 /m) only on clean days, while haze and intrusion remain near-neutral (0.60 and 0.18&#xa0;cm -3 /m). Aerosol cross-layer transport exhibited marked size dependence: dominated by 0.14-0.16&#xa0;&#x3bc;m particles on clean days; broadened to 0.14-0.20&#xa0;&#x3bc;m during haze; and dependent on PBL diurnal phase during external aerosol intrusion, primarily 0.16&#xa0;&#x3bc;m and 0.20&#xa0;&#x3bc;m during PBL uplift, and predominantly 0.20&#xa0;&#x3bc;m during PBL decline.","url":"https://doi.org/10.1016/j.envres.2026.123986","authors":["Cui K","Liu D","Chen Y","Wang H","Zu F","Wang Z","Shen L"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.1016/j.envres.2026.123986","addedAt":"2026-08-31T06:39:59.254Z","updatedAt":"2026-08-31T06:40:05.993Z"},{"id":"doi:10.1111/nyas.70017","name":"YOLO11-RLN: An aerial UAV algorithm for forest fire detection.","source":"pubmed","abstract":"To address the limitations of existing forest fire detection models, including suboptimal unmanned aerial vehicle adaptability, low detection accuracy, and high false detection rates, we propose a new a UAV-oriented forest fire detection algorithm: YOLO11 with RepVGG, long fire-line texture fusion attention, and nano optimization, Our approach introduces several key improvements: RepVGG replaces the YOLO11 backbone to enhance feature extraction and detection accuracy; a novel long fire-line texture fusion (LTF) module is designed to improve fire feature perception in complex forest environments; the WIoU loss function is integrated to enhance small fire detection and accelerate convergence; and YOLOv8-nano parameterization is employed to reduce model complexity and mitigate overfitting. Experimental results demonstrate that YOLO11-RLN outperforms YOLO11, achieving 7.338%, 5.392%, 7.862%, and 7.019% improvements in precision, recall, mAP50, and mAP50-75, respectively. Statistical significance analysis confirms the robustness of these improvements.","url":"https://doi.org/10.1111/nyas.70017","authors":["Gao L","Chen G"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.1111/nyas.70017","addedAt":"2026-08-31T06:39:59.254Z","updatedAt":"2026-08-31T06:40:05.993Z"},{"id":"doi:10.20944/preprints202511.2296.v2","name":"Drone-Based Road Marking Condition Mapping: A Drone Imaging and Geospatial Pipeline for Asset Management","source":"europepmc","abstract":"","url":"https://doi.org/10.20944/preprints202511.2296.v2","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.20944/preprints202511.2296.v2","addedAt":"2026-08-31T06:39:59.254Z","updatedAt":"2026-08-31T06:40:05.995Z"},{"id":"doi:10.21203/rs.3.rs-8049083/v1","name":"A Universal Multi-source Fusion Acceleration Sensor for Vibration Monitoring in Irregular Space","source":"europepmc","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-8049083/v1","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.21203/rs.3.rs-8049083/v1","addedAt":"2026-08-31T06:39:59.255Z","updatedAt":"2026-08-31T06:40:05.995Z"},{"id":"doi:10.21203/rs.3.rs-7573197/v1","name":"Implementation of Monocular Visual SLAM with ARCog-NET for Aerial Robot Swarm Indoor Mapping","source":"europepmc","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-7573197/v1","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.21203/rs.3.rs-7573197/v1","addedAt":"2026-08-31T06:39:59.255Z","updatedAt":"2026-08-31T06:40:08.031Z"},{"id":"doi:10.13287/j.1001-9332.202511.003","name":"Effect of UAV-LiDAR point density on aboveground biomass estimation in &lt;i&gt;Larix olgensis&lt;/i&gt; plantations.","source":"europepmc","abstract":"","url":"https://doi.org/10.13287/j.1001-9332.202511.003","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.13287/j.1001-9332.202511.003","addedAt":"2026-08-31T06:39:59.255Z","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"doi:10.1007/s10661-025-14767-z","name":"UAV-supported mangrove restoration: nature-based solutions for controlling vector-borne disease incidence.","source":"europepmc","abstract":"","url":"https://doi.org/10.1007/s10661-025-14767-z","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.1007/s10661-025-14767-z","addedAt":"2026-08-31T06:39:59.255Z","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"doi:10.1002/ps.70433","name":"Drone-delivered novel oil dispersion formulation of Chlorantraniliprole and emamectin benzoate for precision control of fall armyworm in maize.","source":"pubmed","abstract":"Fall armyworm (FAW) [Spodoptera frugiperda (J.E. Smith)] is a destructive pest threatening global maize production. Conventional chemical control is effective but raises sustainability concerns. Drone-assisted ultra-low volume (ULV) spraying enables precision-targeted application, reducing pesticide input, energy consumption, and associated environmental footprints. This study reports the development of a drone-compatible oil dispersion (OD) formulation combining chlorantraniliprole and emamectin benzoate for FAW control.","url":"https://doi.org/10.1002/ps.70433","authors":["Biswas S","Patanjali N","Suby SB","Sahoo RN","Kushwaha DK","Salim R","H T","Ksv PC","Mukhopadhyay A","Banerjee T","Kundu A","Dutta A"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.1002/ps.70433","addedAt":"2026-08-31T06:39:59.255Z","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"doi:10.21203/rs.3.rs-7698414/v1","name":"DE-Net: A Density-Aware and Edge-Enhanced Network for High-Resolution Building Segmentation","source":"europepmc","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-7698414/v1","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.21203/rs.3.rs-7698414/v1","addedAt":"2026-08-31T06:39:59.255Z","updatedAt":"2026-08-31T06:40:05.995Z"},{"id":"doi:10.21203/rs.3.rs-7875205/v1","name":"Experimental Characterisation of Low Reynolds Number Propeller Performance from Erosion on a Triangular Aerofoil","source":"europepmc","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-7875205/v1","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.21203/rs.3.rs-7875205/v1","addedAt":"2026-08-31T06:39:59.255Z","updatedAt":"2026-08-31T06:40:05.995Z"},{"id":"doi:10.1016/j.isatra.2025.08.033","name":"Event-triggered dynamic landing control of cooperative USV-UAV plant with the compensation mechanism for rolling kinematics.","source":"pubmed","abstract":"In this paper, an event-triggered fuzzy control algorithm is proposed for the unmanned surface vessel (USV) and unmanned aerial vehicle (UAV) cooperative plant to achieve the high-precision landing mission. In the guidance module, an L 1 virtual ship-L 1 virtual aerial vehicle (L 1 VS-L 1 VA) guidance principle is developed to generate the reasonable reference signals for the USV-UAV plant under the landing mission. The proposed guidance principle incorporates a rolling kinematic compensation mechanism based on the 4-degree-of-freedom model of USV, specifically designed to counteract wave-induced rolling disturbances during UAV landing operations on unstable marine platforms. Combined with the guidance module, a dynamic multi-port event-triggered mechanism (MPET) is designed utilizing system output errors to reduce unnecessary resource usage. A synchronized roll-triggering threshold is set to integrate the roll attitude of the USV-UAV plant at the final landing segment, ensuring the balance between data transmission stability and rolling-compensated landing accuracy in engineering practice. The algorithm's stability is proven using the Lyapunov stability theory, and its effectiveness is validated through simulation experiments.","url":"https://doi.org/10.1016/j.isatra.2025.08.033","authors":["Zhang G","Yao G","Li J","Guo Z"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.1016/j.isatra.2025.08.033","addedAt":"2026-08-31T06:39:59.255Z","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"doi:10.1109/tnnls.2025.3527223","name":"Score-Based Neural Processes.","source":"europepmc","abstract":"","url":"https://doi.org/10.1109/tnnls.2025.3527223","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.1109/tnnls.2025.3527223","addedAt":"2026-08-31T06:39:59.255Z","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"doi:10.1364/ao.569136","name":"SiamDA: a detail-attentive Siamese network with infrared optical saliency for pixel-level UAV tracking.","source":"pubmed","abstract":"With the rapid development of unmanned aerial vehicle (UAV) technology, establishing effective management systems for unmanned aerial vehicles has become increasingly important. Tracking small UAVs in complex environments using infrared imagery is a crucial yet challenging task, owing to limited target visibility and significant background clutter. Further, existing feature extraction methods struggle to effectively capture pixel-level infrared UAV signatures. Therefore, this paper introduces SiamDA, a detail-attentive anchor-free Siamese tracker designed to capture more infrared spectral details to enhance the representation of weak UAV targets. First, a detail-attentive network that employs deformable convolutions to capture fine-grained features, along with a Taylor-difference-inspired edge enhancement module to sharpen boundaries and reinforce geometric shapes of small UAVs. Then, a normalized Wasserstein distance loss and a dynamic template update scheme are integrated to improve tracking robustness. Evaluations on public near-infrared UAV datasets indicate that SiamDA attains an average precision ( P 5 ) of more than 80%, surpassing state-of-the-art trackers trained on the same dataset.","url":"https://doi.org/10.1364/ao.569136","authors":["Wang SC","Qian K","You J","Xinghao S"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.1364/ao.569136","addedAt":"2026-08-31T06:39:59.255Z","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"doi:10.13345/j.cjb.250360","name":"[A high-throughput plant canopy leaf area index inversion model based on UAV-LiDAR].","source":"europepmc","abstract":"","url":"https://doi.org/10.13345/j.cjb.250360","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.13345/j.cjb.250360","addedAt":"2026-08-31T06:39:59.255Z","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"doi:10.21203/rs.3.rs-7868510/v1","name":"A Comparative Analysis of Reinforcement Learning Methods for UAV Autonomous Landing","source":"europepmc","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-7868510/v1","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.21203/rs.3.rs-7868510/v1","addedAt":"2026-08-31T06:39:59.255Z","updatedAt":"2026-08-31T06:40:05.995Z"},{"id":"doi:10.20944/preprints202512.0492.v1","name":"UAV Vision-Based Method for Multi-Point Displacement Measurement of Bridges","source":"europepmc","abstract":"","url":"https://doi.org/10.20944/preprints202512.0492.v1","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.20944/preprints202512.0492.v1","addedAt":"2026-08-31T06:39:59.255Z","updatedAt":"2026-08-31T06:40:05.995Z"},{"id":"doi:10.21203/rs.3.rs-8198118/v1","name":"AD-YOLO: A unified method for traffic dense and small object detection in UAV images","source":"europepmc","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-8198118/v1","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.21203/rs.3.rs-8198118/v1","addedAt":"2026-08-31T06:39:59.255Z","updatedAt":"2026-08-31T06:40:05.995Z"},{"id":"doi:10.1002/ps.8828","name":"Does the self-developed fatty acid esters-based aerial spray adjuvant really work on improving the targetability of pesticide liquid sprayed by unmanned aerial vehicles (UAVs)?","source":"pubmed","abstract":"Low pesticide utilization, particularly in high-concentration aerial spraying via an unmanned aerial vehicle (UAV), poses a severe risk in terms of pesticide waste and environmental damage. We conducted a new trial to improve the properties of a spray liquid by the addition of customized spray adjuvants, thereby facilitating droplet deposition and reducing drift of UAV-sprayed pesticides.","url":"https://doi.org/10.1002/ps.8828","authors":["Pan B","Wang B","Liu D","Lin Y","Jiang L"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.1002/ps.8828","addedAt":"2026-08-31T06:39:59.255Z","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"doi:10.1016/j.isatra.2025.02.025","name":"Geometric attitude tracking control of quadrotor UAVs with adaptive extended state observers.","source":"pubmed","abstract":"This paper studies a geometric attitude tracking control problem of quadrotor unmanned aerial vehicles (UAVs) with adaptive extended state observers (AESOs). Through coordinate transformation, the error dynamic of AESO can be transformed into a canonical form which is easier to analyze by linear time-varying theory. In the presence of unknown disturbances and system uncertainties, the estimated error and stability of AESO can be analyzed. Simultaneously, a geometric tracking controller is developed on SO(3) with AESOs which guarantees that the error exponentially converges to a bounded set related to the estimated error. Some examples and a flight test are given to verify the availability of the control scheme.","url":"https://doi.org/10.1016/j.isatra.2025.02.025","authors":["Wang L","Chen J","Huang Y","Zhu Y","Pei H"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.1016/j.isatra.2025.02.025","addedAt":"2026-08-31T06:39:59.255Z","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"doi:10.1016/j.isatra.2025.02.001","name":"Sideslip-roll composite turn control for a tailless aerial vehicle with flexible performance constraints.","source":"europepmc","abstract":"","url":"https://doi.org/10.1016/j.isatra.2025.02.001","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.1016/j.isatra.2025.02.001","addedAt":"2026-08-31T06:39:59.255Z","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"doi:10.21203/rs.3.rs-7822779/v1","name":"Hazard Assessment of Unstable Rock Mass Collapse in Hydropower Station Areas Based on Spatial Motion Characteristics","source":"europepmc","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-7822779/v1","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.21203/rs.3.rs-7822779/v1","addedAt":"2026-08-31T06:39:59.255Z","updatedAt":"2026-08-31T06:40:05.995Z"},{"id":"doi:10.21203/rs.3.rs-7384955/v1","name":"Real-Time Tiny Object Detection in UAV Aerial Images with Multi-Scale Attention Fusion","source":"europepmc","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-7384955/v1","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.21203/rs.3.rs-7384955/v1","addedAt":"2026-08-31T06:39:59.255Z","updatedAt":"2026-08-31T06:40:05.995Z"},{"id":"doi:10.1016/j.isatra.2025.06.034","name":"Barrier Lyapunov function based guidance law design for gap traversal of aerial vehicles.","source":"pubmed","abstract":"This manuscript proposes a novel guidance design for the gap traversal of aerial vehicles. The guidance design is performed based on the barrier Lyapunov function using bearing information of the gap. The guidance law is meticulously crafted to operate in scenarios where determining gap edges relies on active vision methods, making it reliable in various real-world applications. What sets this guidance law apart from existing ones is its adherence to a nonlinear framework, refraining from the need to linearize the system dynamics. This remarkable feature allows the proposed guidance design to maintain its effectiveness even when the deviations in the heading and flight path angle are significant from their nominal values. The efficacy of the proposed guidance law is substantiated using a point mass vehicle and the quadrotor in the planar and three-dimensional scenarios. Extensive numerical simulations are conducted to validate the performance of the proposed design, considering wind gusts and Gaussian noise. The results obtained from these simulations demonstrate the efficacy of barrier Lyapunov function-based guidance for aerial vehicles in the context of gap traversal.","url":"https://doi.org/10.1016/j.isatra.2025.06.034","authors":["Abhinav K"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.1016/j.isatra.2025.06.034","addedAt":"2026-08-31T06:39:59.255Z","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"doi:10.1093/cercor/bhaf081","name":"Impact of working memory training on brain network integration and neurotransmitter systems: a resting-state fMRI.","source":"pubmed","abstract":"Working memory training (WMT) has been demonstrated to enhance cognitive performance, yet the underlying neural mechanisms remain insufficiently understood. Brain network connectivity, particularly as measured by the participation coefficient (PC), offers a valuable framework for elucidating these neural changes. This study investigated the effects of WMT on brain network connectivity, utilizing PC as a primary assessment of network integration and segregation. The relationship between WMT-induced changes in PC and the density of specific neurotransmitter receptors was examined. Seventy-six healthy participants were randomly assigned to either a WMT group or a control group. After 8&#xa0;wks of training, the WMT group exhibited significant cognitive improvements, especially in near and far transfer tasks. These behavioral improvements were accompanied by specific changes in brain connectivity, including a reduction in PC within the sensorimotor network and node-specific alterations in the left prefrontal cortex, temporo-occipital-parietal junction, and parietal operculum. Moreover, changes in PC were significantly correlated with the density of dopamine D2 receptors, mu-opioid receptors, and metabotropic glutamate receptor 5. These findings enhance our understanding of how WMT influences cognitive function and brain network connectivity, highlighting the potential for targeting specific networks and neurotransmitter systems in cognitive training interventions.","url":"https://doi.org/10.1093/cercor/bhaf081","authors":["Ma C","Li Y","Gao Y","Lin X","Hou Y","He W","Zhu Y","Jiang J","Xie Y","Fang P"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.1093/cercor/bhaf081","addedAt":"2026-08-31T06:39:59.255Z","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"doi:10.20944/preprints202511.1128.v1","name":"Hazy Aware-YOLO: An Enhanced UAV Object Detection Model for Foggy Weather via Wavelet Convolution and Attention-Based Optimization","source":"europepmc","abstract":"","url":"https://doi.org/10.20944/preprints202511.1128.v1","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.20944/preprints202511.1128.v1","addedAt":"2026-08-31T06:39:59.255Z","updatedAt":"2026-08-31T06:40:05.995Z"},{"id":"doi:10.20944/preprints202510.1102.v1","name":"Transformer-Based Beam Prediction for THz Drone Communication with RIS Integration","source":"europepmc","abstract":"","url":"https://doi.org/10.20944/preprints202510.1102.v1","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.20944/preprints202510.1102.v1","addedAt":"2026-08-31T06:39:59.255Z","updatedAt":"2026-08-31T06:40:05.995Z"},{"id":"doi:10.21203/rs.3.rs-8033186/v1","name":"Design Optimization of HALE Propeller by using SLSQP Method","source":"europepmc","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-8033186/v1","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.21203/rs.3.rs-8033186/v1","addedAt":"2026-08-31T06:39:59.255Z","updatedAt":"2026-08-31T06:40:05.995Z"},{"id":"doi:10.21203/rs.3.rs-7356051/v1","name":"Enhanced Real-Time 6D Pose Estimation for Automatic Recovery of In-Flight UAVs Using Distance-Aware Keypoint Heatmaps","source":"europepmc","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-7356051/v1","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.21203/rs.3.rs-7356051/v1","addedAt":"2026-08-31T06:39:59.255Z","updatedAt":"2026-08-31T06:40:05.995Z"},{"id":"doi:10.1016/j.neunet.2025.107782","name":"S-YOLO: An enhanced small object detection method based on adaptive gating strategy and dynamic multi-scale focus module.","source":"pubmed","abstract":"Detecting small objects in drone aerial imagery presents significant challenges, particularly when algorithms must operate in real-time under computational constraints. To address this issue, we propose S-YOLO, an efficient and streamlined small object detection framework based on YOLOv10. The S-YOLO architecture emphasizes three key innovations: (1) Enhanced Small Object Detection Layers: These layers augment semantic richness to improve detection of diminutive targets. (2) C2fGCU Module: Incorporating Gated Convolutional Units (GCU), this module adaptively modulates activation strength through deep feature analysis, enabling the model to concentrate on salient information while effectively mitigating background interference. (3) Dynamic Multi-Scale Fusion (DMSF) Module: By integrating SE-Norm with multi-scale feature extraction, this component dynamically recalibrates feature weights to optimize cross-scale information integration and focus. S-YOLO surpasses YOLOv10-n, achieving mAP50:95 improvements of 5.3%, 4.4%, and 1.4% on the VisDrone2019, AI-TOD, and DOTA1.0 datasets, respectively. Notably, S-YOLO maintains fewer parameters than YOLOv10-n while processing 285 images per second, establishing it as a highly efficient solution for real-time small object detection in aerial imagery.","url":"https://doi.org/10.1016/j.neunet.2025.107782","authors":["Wang Z","Yan F","Wang L","Yin Y","Lin J"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.1016/j.neunet.2025.107782","addedAt":"2026-08-31T06:39:59.255Z","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"doi:10.20944/preprints202510.0399.v1","name":"Algorithmic Models for UAV Swarms in Smart City Fire Containment: Challenges, Limitations, and Future Directions","source":"europepmc","abstract":"","url":"https://doi.org/10.20944/preprints202510.0399.v1","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.20944/preprints202510.0399.v1","addedAt":"2026-08-31T06:39:59.255Z","updatedAt":"2026-08-31T06:40:08.031Z"},{"id":"doi:10.1016/j.scitotenv.2025.180865","name":"Modes and ecological damage effects of internal erosion of the redbeds.","source":"europepmc","abstract":"","url":"https://doi.org/10.1016/j.scitotenv.2025.180865","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.1016/j.scitotenv.2025.180865","addedAt":"2026-08-31T06:39:59.255Z","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"doi:10.13287/j.1001-9332.202503.004","name":"Effects of color temperature of visible light camera on vegetation index calculation in unmanned aerial vehicle vegetation remote sensing.","source":"pubmed","abstract":"Vegetation indices based on the spectral information of the RGB three-bands have been widely used in the field of unmanned aerial vehicles (UAVs) vegetation remote sensing. Affected by the automatic color temperature adjustment of cameras, the phenomena of color cast often occur when UAVs acquire RGB images. However, its impacts on the calculations of vegetation indices remain largely unknown. We analyzed the changing trends of 13 vegetation indices for non-vegetation objects, coniferous trees, broad-leaved trees and herbs under the color temperature gradient from 5000 K to 8000 K. The results showed that changes in color temperature significantly affected the calculation results of visible light vegetation indices. With increasing color temperature, the 13 vegetation indices exhibited five changing trends, namely rising, falling, unimodal, stable, and fluctuating. The trends of the normalized green-blue difference index, excess green index, the normalized green-red difference index, modified normalized green-red difference index, visible atmospherically resistant index, blue-green ratio vegetation index, blue-red ratio vegetation index, improved dual greenness index and greenness percentage index with the change in color temperature were affected by neither the object types nor the species. The trends of the triangular greenness index, green leaf index and red-green-blue vegetation index with change in color temperature were affected by both the object types and species identity. The trend of the normalized blue index with change in color temperature was affected by object types but not by species identity. The inter-specific differences within the same vegetation index could be amplified with the increase in color temperature. Weather conditions during image acquisition were a crucial factor influencing data quality. When utilizing vegetation indices calculated from UAV RGB imagery to interpret ecological patterns, strict quality control at the data collection process was necessary. Otherwise, the interpretability of vegetation indices would be weakened due to the impact of color temperature.","url":"https://doi.org/10.13287/j.1001-9332.202503.004","authors":["Xu J","Yang L","Wang JJ","Sun ZY"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.13287/j.1001-9332.202503.004","addedAt":"2026-08-31T06:39:59.255Z","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"doi:10.20944/preprints202509.2037.v1","name":"Reinforcement Learning for Uplink Access Optimization in UAV-Assisted 5G Networks Under Emergency Response","source":"europepmc","abstract":"","url":"https://doi.org/10.20944/preprints202509.2037.v1","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.20944/preprints202509.2037.v1","addedAt":"2026-08-31T06:39:59.255Z","updatedAt":"2026-08-31T06:40:05.995Z"},{"id":"doi:10.21203/rs.3.rs-6617078/v1","name":"A Flexible, Magnet-Based Miniaturized Low-Frequency Mechanical Antenna Enabling Cross-medium Communication and Collaboration among Unmanned Systems","source":"europepmc","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-6617078/v1","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.21203/rs.3.rs-6617078/v1","addedAt":"2026-08-31T06:39:59.255Z","updatedAt":"2026-08-31T06:40:05.995Z"},{"id":"doi:10.32942/x2bd30","name":"Neighbourhood canopy cover alleviates increased tree mortality after exceptionally dry summers at a climatic range limit","source":"europepmc","abstract":"","url":"https://doi.org/10.32942/x2bd30","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.32942/x2bd30","addedAt":"2026-08-31T06:39:59.255Z","updatedAt":"2026-08-31T06:40:05.995Z"},{"id":"doi:10.21203/rs.3.rs-7691679/v1","name":"Application of CO₂ Fracturing Blasting in Mountain Tunnel Construction Adjacent to Existing Structures","source":"europepmc","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-7691679/v1","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.21203/rs.3.rs-7691679/v1","addedAt":"2026-08-31T06:39:59.255Z","updatedAt":"2026-08-31T06:40:05.995Z"},{"id":"doi:10.1007/s10661-025-14046-x","name":"Estimating soil cadmium concentration using multi-source UAV imagery and machine learning techniques.","source":"pubmed","abstract":"Urbanization and industrialization have led to widespread soil heavy metals contamination, posing significant risks to ecosystems and human health. Conventional methods for mapping heavy metal distribution, which rely on soil sampling followed by chemical analysis, are costly and time-consuming. This study proposes a novel approach for estimating soil cadmium (Cd) concentrations by integrating multi-source data captured by Unmanned Aerial Vehicle (UAV), including multispectral images, Digital Elevation Model (DEM), and high-resolution RGB aerial imagery, with machine learning algorithms. Environmental factors such as proximity to pollution sources, terrain attributes, and remote sensing indices were extracted from the UAV multi-source data and used to train machine learning models for soil Cd concentration estimation. Among the tested models, the Gradient Boosting Decision Tree (GBDT) algorithm demonstrated the highest accuracy in estimating soil Cd levels. The proposed method achieves higher predictive accuracy than Kriging interpolation, with Mean Squared Error (MSE) and Mean Absolute Error (MAE) reduced by 37% and 22%, respectively. Additionally, the approach quantified the relative importance of each explanatory variable using feature importance scores derived from machine learning regression models, revealing that proximity to pollution sources was the most influential factor affecting soil Cd concentrations in the study area. This study demonstrates the potential of UAV-based multi-source data, combined with machine learning techniques, as a complementary approach to conventional soil contamination mapping methods. The proposed methodology improves soil contamination assessment efficiency, aiding hotspot detection and targeted remediation. These findings suggest UAV-based remote sensing could support environmental monitoring and land management.","url":"https://doi.org/10.1007/s10661-025-14046-x","authors":["Han Y","Zhang S","Dai C","Peng J","Chen Y","Ke H"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.1007/s10661-025-14046-x","addedAt":"2026-08-31T06:39:59.255Z","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"doi:10.20944/preprints202509.1325.v1","name":"Solar-Powered UAVs Architecture Design for GIG/Medical Deliveries","source":"europepmc","abstract":"","url":"https://doi.org/10.20944/preprints202509.1325.v1","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.20944/preprints202509.1325.v1","addedAt":"2026-08-31T06:39:59.255Z","updatedAt":"2026-08-31T06:40:05.995Z"},{"id":"doi:10.20944/preprints202510.1159.v1","name":"Dynamic Estimation of Formation Wake Flow Fields Based on On-Board Sensing","source":"europepmc","abstract":"","url":"https://doi.org/10.20944/preprints202510.1159.v1","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.20944/preprints202510.1159.v1","addedAt":"2026-08-31T06:39:59.255Z","updatedAt":"2026-08-31T06:40:05.995Z"},{"id":"doi:10.1016/j.aap.2025.107984","name":"Modeling crash avoidance behaviors in vehicle-pedestrian near-miss scenarios: Curvilinear time-to-collision and Mamba-driven deep reinforcement learning.","source":"pubmed","abstract":"Interactions between vehicle-pedestrian at intersections often lead to safety-critical situations. This study aims to model the crash avoidance behaviors of vehicles during interactions with pedestrians in near-miss scenarios, contributing to the development of collision avoidance systems and safety-aware traffic simulations. Unmanned aerial vehicles were leveraged to collect high-resolution trajectory data of vehicle-pedestrian at urban intersections. A new surrogate safety measure, curvilinear time-to-collision (CurvTTC), was employed to identify vehicle-pedestrian near-miss scenarios. CurvTTC takes into account the curved trajectories of road users instead of assuming straight-line future trajectories, making it particularly suitable for safety analysis at intersections, where turning vehicles usually follow curved paths. An effective algorithm considering predicted trajectories and collision types was designed to compute CurvTTC. When CurvTTC was applied to capture vehicle-pedestrian conflicts at intersections, it demonstrated superior performance in identifying risks more accurately compared to other surrogate safety measures, emphasizing the importance of considering the curved trajectories of road users. Further, a novel deep deterministic policy gradient based on the Mamba network (Mamba-DDPG) approach was used to model vehicles' crash avoidance behaviors during the vehicle-pedestrian conflicts captured. Results revealed that the Mamba-DDPG approach effectively learned the vehicle behaviors sequentially in both lateral and longitudinal dimensions during near-miss scenarios with pedestrians. The Mamba-DDPG approach achieved superior predictive accuracy by utilizing Mamba's dynamic data reweighting, which prioritizes critical states. This resulted in better performance compared to both the standard DDPG and the Transformer-enhanced DDPG (Transformer-DDPG) methods. The Mamba-DDPG approach was employed to reconstruct evasive trajectories of vehicles when approaching pedestrians and its effectiveness in capturing the underlying policy of crash avoidance behaviors was validated.","url":"https://doi.org/10.1016/j.aap.2025.107984","authors":["Pu Q","Xie K","Guo H","Zhu Y"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.1016/j.aap.2025.107984","addedAt":"2026-08-31T06:39:59.255Z","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"doi:10.1021/acsami.5c01043","name":"Triboelectric Sensor with a Hierarchical Structure for Omnidirectional Adaptive Wind Speed and Wind Direction Sensing for Unmanned Aerial Vehicles.","source":"pubmed","abstract":"Unmanned aerial vehicles (UAVs) have transformed sectors, such as agriculture and logistics, requiring accurate environmental sensing for optimal functionality. Among various environmental factors, wind speed and direction are vital to flight stability and energy efficiency. However, existing UAV anemometer technologies face challenges, including large size, high power consumption, and complex integration. In this study, a novel wind speed and direction (WSD) sensor, referred to as WSD-TENG, is introduced based on the principles of triboelectric nanogenerators (TENGs). The WSD-TENG consists of a thin-film TENG integrated with a wind vane for wind speed detection and a disk-shaped TENG for monitoring wind direction. An extensive evaluation of the structural parameters and output performance of the WSD-TENG demonstrates its ability to function across wind speeds from 2.6 to 30.0 m/s with a 5&#xb0; resolution in the wind direction, showing high stability. The WSD-TENG exhibits a linear relationship between wind speed and output voltage frequency, with a goodness of fit of 0.9995, and proves to have strong long-term reliability. Additionally, testing under simulated environmental conditions validates its dependability in various settings. A WSD-TENG-compatible signal processing module has also been developed for integration with UAVs, enabling its application in practical UAV operations.","url":"https://doi.org/10.1021/acsami.5c01043","authors":["Wang Z","Wang K","Liu Y","Guan X","Pan Z","Yao Y","Li T"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.1021/acsami.5c01043","addedAt":"2026-08-31T06:39:59.255Z","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"doi:10.1016/j.isatra.2025.08.007","name":"Persistent surveillance for heterogeneous robots considering movement randomness and energy allocation.","source":"pubmed","abstract":"This paper addresses a new persistent surveillance problem where heterogeneous robots measure task nodes, taking into account movement randomness and energy allocation. The heterogeneous robots, which consist of an unmanned ground vehicle (UGV) and unmanned aerial vehicles (UAVs), are deployed in real-time counteracting environmental inspection applications. To avoid hostile intruders from predicting their future routing information and to improve measurement efficiency, this paper seeks to: (1) address the privacy of persistent surveillance, and (2) make balanced programs about the energy cost. Specifically, this paper first proposes a framework in which UAVs perform stochastic movement based on Markov Chain and leverage the probabilistic measurement to fulfill the overall frequency of the task nodes. Then, persistent surveillance with movement randomness and energy allocation (PSREA) is formulated as an optimization problem, which is non-convex and becomes quite complex when regarding excessive task nodes. A clustering-based task network simplification algorithm and an iterative two-stage algorithm are proposed to cover an enormous number of task nodes and to deal with the non-convex problem, respectively. The numerical results demonstrate that the proposed algorithms can significantly improve the inspection performance compared to the benchmark results.","url":"https://doi.org/10.1016/j.isatra.2025.08.007","authors":["Hua T","Chen Y"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.1016/j.isatra.2025.08.007","addedAt":"2026-08-31T06:39:59.255Z","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"doi:10.1021/acsami.5c03575","name":"Deep Learning-Assisted 3D Pressure Sensors for Control of Unmanned Aerial Vehicles.","source":"pubmed","abstract":"Accurately and reliably detecting and recognizing human body movements in real time, relaying appropriate commands to the machine, have substantial implications for virtual reality, remote control, and robotics applications. Nonetheless, most contemporary wearable analysis and control systems attain action recognition by setting sensor thresholds. In routine usage, the stringent trigger conditions facilitate inadvertent contact, resulting in a poorer user experience. Here, we have created a wearable intelligent gesture recognition control system utilizing a multilayer microstructure composite thin film piezoresistive sensing array and deep learning techniques. The system exhibits ultrahigh sensitivity (ranging from 0-6 kPa to 412.2 kPa -1 ) and rapid response times (loading at 40 ms, recovery at 30 ms). The detected gestures are classified and recognized via a convolutional neural network, achieving a recognition accuracy of 97.5%. Ultimately, the altitude control of an unmanned aerial vehicle is accomplished through wireless signal transmission and reception. To achieve the visualization of the complete gesture-controlled flight process, we developed an intuitive user interface for the real-time display of flight altitude and video surveillance. The implementation of this recognition system introduces a novel control mechanism for human-machine interaction, expands the applications of robotic technology, and offers innovative concepts and practical pathways for virtual reality.","url":"https://doi.org/10.1021/acsami.5c03575","authors":["Jiang J","Gu H","Xu R","Zhou J","Gao Y","Zhang L","Cong X","Jiang Y","Song L"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.1021/acsami.5c03575","addedAt":"2026-08-31T06:39:59.255Z","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"doi:10.22541/au.176157213.31136399/v1","name":"Vegetation Water Status and Topography Shape Drought-Induced Mortality of Two Pine Species in Southwest China","source":"europepmc","abstract":"","url":"https://doi.org/10.22541/au.176157213.31136399/v1","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.22541/au.176157213.31136399/v1","addedAt":"2026-08-31T06:39:59.255Z","updatedAt":"2026-08-31T06:40:05.995Z"},{"id":"doi:10.1016/j.brainresbull.2025.111712","name":"The impact of sleep deprivation on dynamic functional connectivity of the brain: Based on alertness task performance.","source":"pubmed","abstract":"Sleep deprivation (SD) impairs mood and cognition, yet its dynamic neural mechanisms remain unclear. Forty healthy adults (30-h SD) completed mood assessments, resting-state fMRI (rs-fMRI), and psychomotor vigilance task (PVT) tests at baseline and post-SD. Using dynamic functional connectivity (dFC) with sliding windows and k-means clustering, we identified two recurrent whole-brain states: (i) an economical state with sparse, weaker global coupling and (ii) a maladaptive compensatory state with globally strengthened synchronization. SD increased both the fraction of windows and mean dwell time (MDT) of the maladaptive state. Across participants, PVT lapses correlated positively with the maladaptive state's MDT and fraction of windows and negatively with those of the economical state. Finally, we built an interpretable predictive model of PVT lapses using competitive adaptive reweighted sampling partial least-squares regression (CARS-PLSR), which highlighted connections within the dorsal attention network (DAN) as key predictors. These findings link behavioral impairment to altered brain-state dynamics and provide a sparse, testable feature set that can support early risk stratification and intervention for SD-related cognitive decline.","url":"https://doi.org/10.1016/j.brainresbull.2025.111712","authors":["Ouyang A","Lin X","Zhang T","Li J","Li C","Wang L","Cao Z","Diao X","He W","Dong Q","Jiang J","Fang P"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.1016/j.brainresbull.2025.111712","addedAt":"2026-08-31T06:39:59.255Z","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"doi:10.1111/risa.70119","name":"An Optimal Joint Predictive Maintenance and Mission Abort Policy Under a Cumulative Working Time Success Criterion.","source":"pubmed","abstract":"Mission-critical systems are subject to failures that not only result in mission revenue losses but also incur system failure penalties. Deciding on mission abort (AB) actions is crucial for maximizing profit. When a mission allows multiple attempts and its success is evaluated based on the cumulative execution time, maintenance can be implemented to increase the mission's success probability. This necessitates determining the system maintenance timing together with AB decisions, which is challenging due to the complex interactions between these two decision variables and the large state and action spaces. To date, designing an optimal joint predictive maintenance (PD) and AB policy for a system executing multiattempt missions under a cumulative execution time success criterion remains underexplored. This gap is filled in this study. Including the maintenance cost and allowing PD throughout the mission execution stage, we formulate the optimization problem as a Markov Decision Process with a continuous, state-heterogeneous action space. The structural properties of the optimal policy, including the continuity of PD actions with respect to the system state and control limits for AB, are derived. We leverage these properties to develop an improved value iteration algorithm. A case study of an unmanned aerial vehicle (UAV) demonstrates the proposed policy outperforms and is more robust than benchmark policies, and the proposed algorithm exhibits significantly higher computational efficiency than the standard method. Some counterintuitive results, such as noncontinuous maintenance decisions regarding the number of remaining attempts and the required remaining time to mission completion, are&#xa0;drawn.","url":"https://doi.org/10.1111/risa.70119","authors":["Wei Y","Zhao S","Cheng Y"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.1111/risa.70119","addedAt":"2026-08-31T06:39:59.255Z","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"doi:10.1016/j.envpol.2025.125935","name":"Effects of nocturnal boundary layer subsidence and long-distance transports on PM&lt;sub&gt;2.5&lt;/sub&gt; vertical profiles in the Yangtze River Delta of China measured by PM sensor on unmanned aerial vehicle and PM Lidar.","source":"pubmed","abstract":"Atmospheric boundary layer structures and long-distance transports significantly affect fine particulate matter (PM 2.5 ) vertical profiles. In this study, the PM 2.5 vertical profiles in the Yangtze River Delta (YRD) of China were measured by PM sensor on unmanned aerial vehicle (UAV) and PM Lidar in 2022 (April, June, October) and 2023 (February). The results showed that the PM 2.5 vertical profiles appeared obvious stratification on the top of nocturnal boundary layer (NBL). The NBL subsidence stabilized the boundary layer structure and inhibited the vertical diffusion of PM 2.5 , increasing the ground PM 2.5 concentrations. However, when there was an active turbulent motion during the NBL subsidence, the PM 2.5 from the surface might be transported upward. The PM 2.5 vertical mean concentrations (0-500&#xa0;m) in the YRD decreased by 58-95% within 3&#xa0;h, which might be caused by the rapid shift of long-distance transport sources from the North China Plain to the Yellow Sea with higher wind speeds according to backward trajectory. When the ambient PM 2.5 concentrations were high (&gt;20&#xa0;&#x3bc;g&#xa0;m -3 ) and the weather was clear, the PM Lidar could also observe the diurnal variations of PM 2.5 vertical profiles (200-500&#xa0;m) like the PM sensor on UAV. However, there were differences in the PM 2.5 vertical concentrations, and the differences of PM 2.5 vertical mean concentrations (200-500&#xa0;m) measured by the two methods in different seasons were 2.2-13.6&#xa0;&#x3bc;g&#xa0;m -3 . When the PM 2.5 concentrations were lower than 17&#xa0;&#x3bc;g&#xa0;m -3 , the measurement performance of PM Lidar was significantly lower than those of the PM sensor on UAV.","url":"https://doi.org/10.1016/j.envpol.2025.125935","authors":["Chen L","Xu H","Huang R","Pang X","Wang B","Wu Z","Yu S"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.1016/j.envpol.2025.125935","addedAt":"2026-08-31T06:39:59.255Z","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"doi:10.57760/sciencedb.ecodb.00334","name":"A Multi-Temporal UAV Multispectral Dataset for Land Cover Classification in a Heterogeneous Agricultural Landscape","source":"datacite","abstract":"This dataset presents a multi-temporal unmanned aerial vehicle (UAV) remote sensing dataset covering a typical farmland–wetland composite landscape in Jurong City, Zhenjiang, Jiangsu Province, China. The dataset comprises seven monthly observation periods from June to December 2025, each including RGB orthophotos, four-band multispectral imagery (green, red, red edge, near-infrared) and a digital surface model (DSM). Field surveys and remote sensing interpretation, conducted in parallel with the UAV aerial photography, provided ground-truth labels for 17 land cover classes, covering rice, dryland crops (maize, groundnuts, sweet potatoes), melons and vegetables (watermelons, loofahs, small vegetable plots), woodland, scrubland, nurseries, natural grassland, cultivated grassland, reed wetlands, ponds and reservoirs, residential areas, roads and greenhouse facilities. The seven-period time-series data provide comprehensive and in-depth coverage of the phenological cycle during the growing season, supporting the development and validation of phenology-aware classification algorithms. It is suitable for research into deep learning-based semantic segmentation, time-series classification and the fusion of spectral and structural data.","url":"https://doi.org/10.57760/sciencedb.ecodb.00334","authors":["Shangxiao Wang","Shengjun Xiao","Yanwei Sun","Xiaonan Niu","Zong Leli","Liu Yi","Zhang Ming"],"tags":["Photogrammetry and remote sensing technology","Agricultural economics","Environmental science and resources science and technology","Computer science and technology","Information science and systems science","Agronomy","Earth science","Mathematical statistics"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.57760/sciencedb.ecodb.00334","addedAt":"2026-08-31T06:39:59.256Z","updatedAt":"2026-08-31T06:39:59.256Z"},{"id":"doi:10.5281/zenodo.21889197","name":"Матеріали ХІІІ Міжнародної науково-практичної конференції «Управління високошвидкісними рухомими об'єктами та професійна підготовка операторів складних систем»","source":"datacite","abstract":"Матеріали ХІІІ Міжнародної науково-практичної конференції «Управління високошвидкісними рухомими об’єктами та професійна підготовка операторів складних систем» Збірник містить матеріали доповідей учасників ХІІІ Міжнародної науково-практичної конференції, яка відбулася у місті Кропивницький 26 лютого 2025 року. Збірник тез наукових доповідей рекомендовано до друку Науково-методичною радою Української державної льотної академії (протокол № 2 від 26 лютого 2025 р.). У виданні висвітлено результати фундаментальних і прикладних досліджень за напрямами інноваційних методів керування літальними апаратами, безпеки польотів, підтримання льотної придатності та управління авіатранспортними процесами. Значну увагу приділено питанням професійної та авіаційної мовної підготовки, навігації, метеорологічного забезпечення, а також застосуванню штучного інтелекту та безпілотних технологій (БПЛА) в авіаційних системах. Окремо розглянуто економіко-управлінські та правові аспекти інноваційної діяльності, питання фізичної підготовки й спортивного дрон-рейсингу. Організаційний комітет (редколегія): Голова: Неділько С. М. – доктор тех. наук, професор, в.о. директора Української державної льотної академії. Заступники голови: Залевський А. В., Осадчий С. І. Міжнародний склад: Anželika Smagina (Інститут Транспорту та Телекомунікацій, Латвія), Дрозд Наталія (Університет прикладних наук м. Майнц, Німеччина), Enis Turhan Turgut (Технічний університет Ескішехіра, Туреччина), Ilze Ella Negribe (Ризький технічний університет, Латвія), Reshetiuk Volodymyr (Варшавський університет наук про життя, Польща). Члени оргкомітету: Стецюк Б. Р., Панченко В. А., Півень В. В., Пальоний А. С., Мандрик Я. С., Невиніцин А. М., Письменна М. С., Сікірда Ю. В., Суркова К. В., Півень М. І., Радул В. В., Ковальов Ю. Г. Видання зареєстровано в міжнародному реєстрі Zenodo із застосуванням цифрового ідентифікатора DOI, що забезпечує відкритість матеріалів для світової наукової спільноти та їх індексацію в наукометричних базах. Збірник тез буде корисним здобувачам, курсантам, магістрантам, аспірантам, докторантам та всім зацікавленим особам. Тези публікуються в авторській редакції. Автори несуть відповідальність за достовірність інформації, точність фактів, цитат, інших відомостей. При використанні матеріалів, опублікованих у збірнику тез конференції, збереження авторських прав обов'язкове. Корисні посилання: 🌐 Офіційний сайт УДЛА 📚 Сторінка «Наші видання»","url":"https://doi.org/10.5281/zenodo.21889197","authors":["Ukrainian State Flight Academy","Неділько, Сергій Миколайович","Залевський, Анатолій Васильович","Осадчий, Сергій Іванович"],"tags":["Авіація","Безпека польотів","Безпілотні літальні апарати","БПЛА","Професійна підготовка","Керування літальними апаратами","Оператори складних систем","Штучний інтелект"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.21889197","addedAt":"2026-08-31T06:39:59.256Z","updatedAt":"2026-08-31T06:39:59.256Z"},{"id":"doi:10.5281/zenodo.21889198","name":"Матеріали ХІІІ Міжнародної науково-практичної конференції «Управління високошвидкісними рухомими об'єктами та професійна підготовка операторів складних систем»","source":"datacite","abstract":"Матеріали ХІІІ Міжнародної науково-практичної конференції «Управління високошвидкісними рухомими об’єктами та професійна підготовка операторів складних систем» Збірник містить матеріали доповідей учасників ХІІІ Міжнародної науково-практичної конференції, яка відбулася у місті Кропивницький 26 лютого 2025 року. Збірник тез наукових доповідей рекомендовано до друку Науково-методичною радою Української державної льотної академії (протокол № 2 від 26 лютого 2025 р.). У виданні висвітлено результати фундаментальних і прикладних досліджень за напрямами інноваційних методів керування літальними апаратами, безпеки польотів, підтримання льотної придатності та управління авіатранспортними процесами. Значну увагу приділено питанням професійної та авіаційної мовної підготовки, навігації, метеорологічного забезпечення, а також застосуванню штучного інтелекту та безпілотних технологій (БПЛА) в авіаційних системах. Окремо розглянуто економіко-управлінські та правові аспекти інноваційної діяльності, питання фізичної підготовки й спортивного дрон-рейсингу. Організаційний комітет (редколегія): Голова: Неділько С. М. – доктор тех. наук, професор, в.о. директора Української державної льотної академії. Заступники голови: Залевський А. В., Осадчий С. І. Міжнародний склад: Anželika Smagina (Інститут Транспорту та Телекомунікацій, Латвія), Дрозд Наталія (Університет прикладних наук м. Майнц, Німеччина), Enis Turhan Turgut (Технічний університет Ескішехіра, Туреччина), Ilze Ella Negribe (Ризький технічний університет, Латвія), Reshetiuk Volodymyr (Варшавський університет наук про життя, Польща). Члени оргкомітету: Стецюк Б. Р., Панченко В. А., Півень В. В., Пальоний А. С., Мандрик Я. С., Невиніцин А. М., Письменна М. С., Сікірда Ю. В., Суркова К. В., Півень М. І., Радул В. В., Ковальов Ю. Г. Видання зареєстровано в міжнародному реєстрі Zenodo із застосуванням цифрового ідентифікатора DOI, що забезпечує відкритість матеріалів для світової наукової спільноти та їх індексацію в наукометричних базах. Збірник тез буде корисним здобувачам, курсантам, магістрантам, аспірантам, докторантам та всім зацікавленим особам. Тези публікуються в авторській редакції. Автори несуть відповідальність за достовірність інформації, точність фактів, цитат, інших відомостей. При використанні матеріалів, опублікованих у збірнику тез конференції, збереження авторських прав обов'язкове. Корисні посилання: 🌐 Офіційний сайт УДЛА 📚 Сторінка «Наші видання»","url":"https://doi.org/10.5281/zenodo.21889198","authors":["Ukrainian State Flight Academy","Неділько, Сергій Миколайович","Залевський, Анатолій Васильович","Осадчий, Сергій Іванович"],"tags":["Авіація","Безпека польотів","Безпілотні літальні апарати","БПЛА","Професійна підготовка","Керування літальними апаратами","Оператори складних систем","Штучний інтелект"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.21889198","addedAt":"2026-08-31T06:39:59.256Z","updatedAt":"2026-08-31T06:39:59.256Z"},{"id":"doi:10.13127/qdg/202","name":"Evoluzione morfologica della Salsa del Dragone, vulcano di fango dell'Appennino bolognese: dati storici e indagini moderne","source":"datacite","abstract":"The Salsa del Dragone represents an emblematic example of a mud volcano in a complex geological setting, the northern Apennines of Italy, where fluid and mud emissions occur in poorly consolidated clayey soils and along permeable fracture systems. A modern reinterpretation of historical surveys allows the temporal range of study to be extended, providing new insights into the mud volcano’s dynamics. The surveys by Renato Biasutti (1906‑1907) document the site’s morphology, the arrangement of vents, and the characteristics of the mud, offering a valuable reference for comparison with the current situation. Recent campaigns, carried out between 2023 and 2025 within the PROMUD (PROtocol for MUD volcanoes) project, produced detailed data on the affected surface using UAV (Unmanned Aerial Vehicle) photogrammetric surveys, generating precise orthophotos and maps. The integration of historical and modern data allowed common features to be identified and information to be aligned, comparing the surface distribution of 1906‑1907 with the present-day configuration. Cross-referencing these data with geophysical measurements, obtained from both passive and active seismic surveys, enabled the formulation of a hypothesis on the evolution of the Salsa del Dragone, interpreted as a process of retreating terrain around the mud volcano, thus confirming hypotheses already suggested by Biasutti in 1907. These results also provide a solid starting point for future aerial and terrestrial survey campaigns.","url":"https://doi.org/10.13127/qdg/202","authors":["Pesci, Arianna","Loddo, Fabiana"],"tags":["Salsa del Dragone","Morfologia","Dati Storici","Morphology","Archival Data"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.13127/qdg/202","addedAt":"2026-08-31T06:39:59.256Z","updatedAt":"2026-08-31T06:39:59.256Z"},{"id":"doi:10.82465/7598","name":"Observing Forest Transformation in Cypress Hills Interprovincial Park","source":"datacite","abstract":"Forests in Cypress Hills Interprovincial Park are experiencing ecological changes driven by climate change, making long-term monitoring essential for understanding shifts in forest structure and composition. This study evaluated changes in tree communities over a 10-year period by comparing data collected through traditional ground surveys and unmanned aerial vehicle (UAV) imagery. Fifty study sites (10 × 10 m) were surveyed using both methods to assess species composition, tree height, and forest structure. Ground surveys focused on identifying and measuring individual trees, while drone imagery provided high-resolution aerial data that allowed for broader landscape analysis. Results showed a shift in species composition between 2015 and 2025. Picea glauca and Pinus species increased in abundance, whereas Populus species declined but exhibited an increase in average tree size. UAV surveys captured substantially more trees than ground-based methods, demonstrating their effectiveness for large-scale forest monitoring while complementing traditional field observations. The integration of drone imagery with field surveys improved the accuracy and efficiency of assessing forest structure and detecting ecological change. These findings highlight the value of combining ground and aerial survey techniques to monitor long-term forest dynamics. Continued research will use these data to investigate how climate change, including drought stress and other environmental factors, is influencing forest health and transformation in Cypress Hills Interprovincial Park.","url":"https://doi.org/10.82465/7598","authors":["Gill, Dilman","Crofts, Anna","Vanderwel, Mark"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.82465/7598","addedAt":"2026-08-31T06:39:59.256Z","updatedAt":"2026-08-31T06:39:59.256Z"},{"id":"doi:10.5281/zenodo.20746847","name":"Hyperspectral Drone Imagery: Bare Soil Fields","source":"datacite","abstract":"This dataset contains georeferenced tiff images derived from drone-based hyperspectral imaging over bare soil agricultural fields. The fields Caritas, L1, L3, M5B, R6, RvK1A_B ans S24 were collected during September and October 2025, using an unmanned aerial vehicle (UAV) equipped with a hyperspectral sensor capturing six specific near-infrared bands: 670nm, 730nm, 800nm, 930nm, 970nm, and 1100nm. The raw sensor data underwent processing using OpenDroneMap software for image stitching, followed by georeferencing correction to ensure spatial accuracy. The resulting tiff files contain digital numbers (DN values) for each spectral band.This dataset may be valuable for agricultural research, soil property analysis, remote sensing development, and related environmental monitoring applications. Pixel-wise predictions of soil organic carbon (OC, % w/w) for eight agricultural fields in the Ghent region, Belgium (EPSG:32631), derived from UAV-acquired hyperspectral imagery corrected to surface reflectance using calibration panels. Three machine learning models were trained on ground-truth OC measurements from 90+ soil sample points using six spectral bands, their first-order derivatives, and normalised band differences as input features: a 1D Convolutional Neural Network (CNN), a Random Forest (RF), and an XGBoost (XGB) regressor. Models were evaluated via 5-fold cross-validation. One predicted OC map (GeoTIFF) per field per model is provided (fields: B2, Caritas, L1, L3, M5B, R6, RvK1AB, S24). Two additional training strategies were explored to assess whether incorporating spatial neighbourhood context around each soil sample point improves OC prediction accuracy. Approach 1 – Aggregated features: For each sample point, pixel reflectance values within a circular neighbourhood of radius r were aggregated into per-band means and standard deviations, yielding one feature vector per sample point. Spectral indices (first-order derivatives and normalised band differences) were then computed on the mean bands. Random Forest and XGBoost models were trained using standard 5-fold cross-validation. Radii of 0.25 m, 0.5 m, and 1.0 m were evaluated during training. Approach 2 – Pixel augmentation: All pixels falling within a circular neighbourhood of radius r around each sample point were extracted individually, each inheriting the OC label of that plot. This increases the effective training set size proportionally to the neighbourhood area. To prevent data leakage, GroupKFold cross-validation was applied with sample-point identity as the grouping variable, ensuring all pixels from the same plot remain in the same fold. Random Forest, XGBoost, and CNN models were trained under this scheme. Radii of 0.25 m, 0.5 m, and 1.0 m were evaluated during training.","url":"https://doi.org/10.5281/zenodo.20746847","authors":["Berkvens, Nick","Coppens, Tuna","Bauwens, Jan","Chalazas, Theodorus","De Man, Wannes","Van Beek, Jonathan","Callens, Bert","Van Gehuchten, Aaron","Kokka, Alexander","Heikki, Astola"],"tags":["Hyperspectral Imaging","Agriculture","Drones","Precision farrming","Bare soil","Remote sensing","Soil science"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.20746847","addedAt":"2026-08-31T06:39:59.256Z","updatedAt":"2026-08-31T06:39:59.256Z"},{"id":"doi:10.5281/zenodo.20627006","name":"Hyperspectral Drone Imagery: Bare Soil Fields","source":"datacite","abstract":"This dataset contains georeferenced tiff images derived from drone-based hyperspectral imaging over bare soil agricultural fields. The fields Caritas, L1, L3, M5B, R6, RvK1A_B ans S24 were collected during September and October 2025, using an unmanned aerial vehicle (UAV) equipped with a hyperspectral sensor capturing six specific near-infrared bands: 670nm, 730nm, 800nm, 930nm, 970nm, and 1100nm. The raw sensor data underwent processing using OpenDroneMap software for image stitching, followed by georeferencing correction to ensure spatial accuracy. The resulting tiff files contain digital numbers (DN values) for each spectral band.This dataset may be valuable for agricultural research, soil property analysis, remote sensing development, and related environmental monitoring applications. Pixel-wise predictions of soil organic carbon (OC, % w/w) for eight agricultural fields in the Ghent region, Belgium (EPSG:32631), derived from UAV-acquired hyperspectral imagery corrected to surface reflectance using calibration panels. Three machine learning models were trained on ground-truth OC measurements from 90+ soil sample points using six spectral bands, their first-order derivatives, and normalised band differences as input features: a 1D Convolutional Neural Network (CNN), a Random Forest (RF), and an XGBoost (XGB) regressor. Models were evaluated via 5-fold cross-validation. One predicted OC map (GeoTIFF) per field per model is provided (fields: B2, Caritas, L1, L3, M5B, R6, RvK1AB, S24).","url":"https://doi.org/10.5281/zenodo.20627006","authors":["Berkvens, Nick","Coppens, Tuna","Bauwens, Jan","Chalazas, Theodorus","De Man, Wannes","Van Beek, Jonathan","Callens, Bert","Van Gehuchten, Aaron","Kokka, Alexander","Heikki, Astola"],"tags":["Hyperspectral Imaging","Agriculture","Drones","Precision farrming","Bare soil","Remote sensing","Soil science"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.20627006","addedAt":"2026-08-31T06:39:59.256Z","updatedAt":"2026-08-31T06:39:59.256Z"},{"id":"doi:10.6084/m9.figshare.32616651.v1","name":"<b>UAV Orthophoto Dataset for High-Accuracy Oyster Reef Area Extraction Using SAM Segmentation in the Liya Mountain Intertidal Zone, China (December 2025)</b>","source":"datacite","abstract":"This dataset provides high-resolution UAV orthophoto imagery and derived raster data for oyster reef spatial distribution extraction and area quantification in the Liya Mountain National Marine Park, Nantong City, Jiangsu Province, China.Field experiments were conducted from December 3 to 8, 2025, in an intertidal coastal zone located at approximately 121°32′15″ E, 32°9′5″ N. This region hosts the largest natural intertidal oyster reef system in China, with a formation history exceeding 1,400 years and significant ecological and scientific value.The dataset is based on UAV (Unmanned Aerial Vehicle) multispectral imagery, processed through radiometric correction, geometric correction, and orthomosaic generation to produce georeferenced high-resolution orthophotos. All raster data are provided in GeoTIFF format with WGS 84 geographic coordinate system (EPSG:4326), 4 spectral bands, and 8-bit pixel depth.Due to UAV operational constraints (flight endurance, altitude, and sensor field of view), representative subregions were selected for detailed analysis. The dataset explicitly distinguishes between two environmental conditions: Illuminated Area : Regions with sufficient sunlight, showing clear texture and structural features Shaded Area : Regions affected by shadow (primarily caused by lighthouse obstruction under low solar elevation), exhibiting reduced brightness, weaker texture contrast, and blurred boundariesThe dataset includes the following files: StudyArea.tif : Full UAV orthophoto covering the study region SharedArea.tif : Representative shaded subregion IlluminatedArea.tif : Representative illuminated subregionFile naming follows a spatial partitioning strategy based on illumination conditions to support comparative analysis.This dataset was used to develop and evaluate an automated oyster reef extraction framework based on the Segment Anything Model (SAM) combined with Random Forest classification. The SAM model was applied to extract candidate regions, while the Random Forest model refined segmentation results using spectral and texture features.","url":"https://doi.org/10.6084/m9.figshare.32616651.v1","authors":["Xu, Xirui","Wang, Fei","Quan, Weiming","Fan, Ruiliang"],"tags":["Photogrammetry and remote sensing","Other environmental sciences not elsewhere classified"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.6084/m9.figshare.32616651.v1","addedAt":"2026-08-31T06:39:59.256Z","updatedAt":"2026-08-31T06:39:59.256Z"},{"id":"doi:10.6084/m9.figshare.32616651","name":"<b>UAV Orthophoto Dataset for High-Accuracy Oyster Reef Area Extraction Using SAM Segmentation in the Liya Mountain Intertidal Zone, China (December 2025)</b>","source":"datacite","abstract":"This dataset provides high-resolution UAV orthophoto imagery and derived raster data for oyster reef spatial distribution extraction and area quantification in the Liya Mountain National Marine Park, Nantong City, Jiangsu Province, China.Field experiments were conducted from December 3 to 8, 2025, in an intertidal coastal zone located at approximately 121°32′15″ E, 32°9′5″ N. This region hosts the largest natural intertidal oyster reef system in China, with a formation history exceeding 1,400 years and significant ecological and scientific value.The dataset is based on UAV (Unmanned Aerial Vehicle) multispectral imagery, processed through radiometric correction, geometric correction, and orthomosaic generation to produce georeferenced high-resolution orthophotos. All raster data are provided in GeoTIFF format with WGS 84 geographic coordinate system (EPSG:4326), 4 spectral bands, and 8-bit pixel depth.Due to UAV operational constraints (flight endurance, altitude, and sensor field of view), representative subregions were selected for detailed analysis. The dataset explicitly distinguishes between two environmental conditions: Illuminated Area : Regions with sufficient sunlight, showing clear texture and structural features Shaded Area : Regions affected by shadow (primarily caused by lighthouse obstruction under low solar elevation), exhibiting reduced brightness, weaker texture contrast, and blurred boundariesThe dataset includes the following files: StudyArea.tif : Full UAV orthophoto covering the study region SharedArea.tif : Representative shaded subregion IlluminatedArea.tif : Representative illuminated subregionFile naming follows a spatial partitioning strategy based on illumination conditions to support comparative analysis.This dataset was used to develop and evaluate an automated oyster reef extraction framework based on the Segment Anything Model (SAM) combined with Random Forest classification. The SAM model was applied to extract candidate regions, while the Random Forest model refined segmentation results using spectral and texture features.","url":"https://doi.org/10.6084/m9.figshare.32616651","authors":["Xu, Xirui","Wang, Fei","Quan, Weiming","Fan, Ruiliang"],"tags":["Photogrammetry and remote sensing","Other environmental sciences not elsewhere classified"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.6084/m9.figshare.32616651","addedAt":"2026-08-31T06:39:59.256Z","updatedAt":"2026-08-31T06:39:59.256Z"},{"id":"doi:10.5284/1143005","name":"Land to the South of Church End, Rampton","source":"datacite","abstract":"On the 3rd March 2025, Oxford Archaeology carried out a photogrammetric topographic survey over Land to the South of Church End, Rampton , Cambridgeshire (TL561 679). The survey covered area of study was 1.2ha of rough pasture using a DJI Phantom 4 Advanced Unmanned Aerial Vehicle, and ground truthed with a Leica GNSS18. The site lies immediately to the south of a complex of earthworks relating to the medieval castle of Giant's Hill. Within the area of the site itself, earthworks previously recorded through aerial survey consisted of a set of boundary/drainage ditches. The photogrammetric survey confirmed the presence of these drainage ditches and also recorded the earthworks of a series of probable ponds in the western part of the site, probably associated with watering livestock. Traces of cultivation in the form of narrow ridge and furrow type earthworks were also recorded in one area in the western part in the site; these were aligned parallel to the drainage ditches and may reflect a short-lived episode of arable cultivation broadly contemporary with these drainage features.","url":"https://doi.org/10.5284/1143005","authors":["Horne, Donald"],"tags":["Archaeology","Grey Literature"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5284/1143005","addedAt":"2026-08-31T06:39:59.256Z","updatedAt":"2026-08-31T06:39:59.256Z"},{"id":"doi:10.6084/m9.figshare.32387274.v1","name":"A Global Bibliometric Dataset on Unmanned Aerial Vehicle (UAV) Remote Sensing Applications in Coastal Ecosystems (2010–2025)","source":"datacite","abstract":"This dataset contains the systematically extracted raw bibliometric data used to support the manuscript \"Evolution and Trends in Unmanned Aerial Vehicle Remote Sensing for Coastal Ecosystems: A Global Bibliometric Analysis (2010–2025)\" .Coastal ecosystems—specifically coral, seaweed, seagrass, mangrove, and intertidal environments (CSSMI)—provide vital ecological services but are under escalating threat from human actions and climate change. Unmanned Aerial Vehicles (UAVs) have emerged as a revolutionary, high-resolution, and flexible remote sensing tool to bridge the gap between traditional manual field surveys and satellite mapping constraints. To map out the academic evolution, methodological milestones, and technical trends of this transition, a curated corpus of 261 peer-reviewed publications spanning 2010 to 2025 was evaluated via performance analysis and science mapping frameworks.The raw data compiled within \"Data.xlsx\" captures essential parameters extracted from these 261 studies, tracking temporal trends, collaborative patterns, geographic study distributions, and technical system details (such as drone manufacturers and platform types). This repository is deposited to ensure absolute transparency, empirical reproducibility, and to serve as a baseline resource for future interdisciplinary meta-analyses in marine conservation and drone remote sensing.","url":"https://doi.org/10.6084/m9.figshare.32387274.v1","authors":["Chong, Wei Sheng"],"tags":["Earth system sciences"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.6084/m9.figshare.32387274.v1","addedAt":"2026-08-31T06:39:59.256Z","updatedAt":"2026-08-31T06:39:59.256Z"},{"id":"doi:10.6084/m9.figshare.32387274.v2","name":"A Global Bibliometric Dataset on Unmanned Aerial Vehicle (UAV) Remote Sensing Applications in Coastal Ecosystems (2010–2025)","source":"datacite","abstract":"This dataset contains the systematically extracted raw bibliometric data used to support the manuscript \"Evolution and Trends in Unmanned Aerial Vehicle Remote Sensing for Coastal Ecosystems: A Global Bibliometric Analysis (2010–2025)\" .Coastal ecosystems—specifically coral, seaweed, seagrass, mangrove, and intertidal environments (CSSMI)—provide vital ecological services but are under escalating threat from human actions and climate change. Unmanned Aerial Vehicles (UAVs) have emerged as a revolutionary, high-resolution, and flexible remote sensing tool to bridge the gap between traditional manual field surveys and satellite mapping constraints. To map out the academic evolution, methodological milestones, and technical trends of this transition, a curated corpus of 261 peer-reviewed publications spanning 2010 to 2025 was evaluated via performance analysis and science mapping frameworks.The raw data compiled within \"Data.xlsx\" captures essential parameters extracted from these 261 studies, tracking temporal trends, collaborative patterns, geographic study distributions, and technical system details (such as drone manufacturers and platform types). This repository is deposited to ensure absolute transparency, empirical reproducibility, and to serve as a baseline resource for future interdisciplinary meta-analyses in marine conservation and drone remote sensing.","url":"https://doi.org/10.6084/m9.figshare.32387274.v2","authors":["Chong, Wei Sheng"],"tags":["Earth system sciences"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.6084/m9.figshare.32387274.v2","addedAt":"2026-08-31T06:39:59.256Z","updatedAt":"2026-08-31T06:39:59.256Z"},{"id":"doi:10.6084/m9.figshare.32387274","name":"A Global Bibliometric Dataset on Unmanned Aerial Vehicle (UAV) Remote Sensing Applications in Coastal Ecosystems (2010–2025)","source":"datacite","abstract":"This dataset contains the systematically extracted raw bibliometric data used to support the manuscript \"Evolution and Trends in Unmanned Aerial Vehicle Remote Sensing for Coastal Ecosystems: A Global Bibliometric Analysis (2010–2025)\" .Coastal ecosystems—specifically coral, seaweed, seagrass, mangrove, and intertidal environments (CSSMI)—provide vital ecological services but are under escalating threat from human actions and climate change. Unmanned Aerial Vehicles (UAVs) have emerged as a revolutionary, high-resolution, and flexible remote sensing tool to bridge the gap between traditional manual field surveys and satellite mapping constraints. To map out the academic evolution, methodological milestones, and technical trends of this transition, a curated corpus of 261 peer-reviewed publications spanning 2010 to 2025 was evaluated via performance analysis and science mapping frameworks.The raw data compiled within \"Data.xlsx\" captures essential parameters extracted from these 261 studies, tracking temporal trends, collaborative patterns, geographic study distributions, and technical system details (such as drone manufacturers and platform types). This repository is deposited to ensure absolute transparency, empirical reproducibility, and to serve as a baseline resource for future interdisciplinary meta-analyses in marine conservation and drone remote sensing.","url":"https://doi.org/10.6084/m9.figshare.32387274","authors":["Chong, Wei Sheng"],"tags":["Earth system sciences"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.6084/m9.figshare.32387274","addedAt":"2026-08-31T06:39:59.256Z","updatedAt":"2026-08-31T06:39:59.256Z"},{"id":"doi:10.18130/s7jt-ed58","name":"ICARUS-1; \"Eyes in the Sky\": Integrating Drone Technology into Sociotechnical Frameworks for Natural Disaster Response ","source":"datacite","abstract":"The relationship between my technical capstone project and my Science, Technology, and Society (STS) research paper is grounded in the advancement of drone technology and its life-saving use cases in real-world contexts. The technical project, ICARUS-1, was motivated by the desire to expand the field of bioinspired flight, which still has much to discover and understand. We aimed to develop an unmanned aerial system capable of performing precise, rapid maneuvers inspired by dragonfly flight. The goal of this approach is to overcome the mobility and speed constraints in current drone designs. In my STS research paper, I wanted to understand and analyze how drones can be used for non-military applications. This led to the identification and management of the sociotechnical interactions involved in drone use during real-world disasters, such as the 2025 Palisades Fire. Both projects were chosen to address fields with significant room for improvement and the potential to deliver real benefits to society. The technical project, ICARUS-1, confronts the engineering trade-off between stable hovering and mobility in tight spaces. Current bio-inspired unmanned aerial systems (UAS) fail to practically replicate dragonfly flight capabilities, including hovering, immediate stops, and acceleration in any direction, achieved by flapping their wings rather than relying solely on propeller thrust. To tap into these abilities, our team developed a quad-winged drone system with four independent wings, each driven by a specialized flapping mechanism that converts a brushless motor into vertical flapping motion. We focused on iterative weight reduction to keep the prototype below the 250-gram Federal Aviation Administration (FAA) threshold, thereby avoiding various registration requirements. We used carbon brush motors and H-bridge speed control to reduce current spikes and optimize torque. A Teensy 4.1 microcontroller controls the system, while being guided by a custom vehicle control program. ICARUS-1 demonstrates the application of dragonfly flight principles at an engineering scale, targeting indoor intelligence, surveillance, and reconnaissance missions where typical drones underperform. In my STS research paper, I argue that the main obstacle to effective drone implementation in disaster response is not a lack of technical capability, but rather organizational and system failures. I draw on Diane Vaughan’s framework of organizational failure and information management to better analyze my case study. I examined the 2025 Palisades Fire to reveal how hierarchical bottlenecks and interagency boundaries undermined the emergency response. I discuss why response agencies disregarded critical information because of a rigid command structure that undervalued input from lower-level personnel. Additionally, I highlight that the absence of unified command among agencies such as the LAPD and LAFD resulted in delayed evacuations and uncoordinated asset allocation, as well as the role that funding and infrastructure deficits played. My research shows that even an ideal autonomous drone system would not have compensated for the resource shortages that left municipal reservoirs depleted and fire departments understaffed. I ultimately argue two points. One is for drone technology to realize its full potential, emergency organizations must shift from vertical, centralized hierarchies to horizontal, non-centralized networks capable of exchanging real-time operational data across agency boundaries. Two, this systematic change needs to be coupled with efficient response resources and infrastructure to carry out these actions. Working on both projects throughout the year gave valuable insight into the problems of depending solely on technical solutions and thinking. Handling the challenges of ICARUS, such as weight reduction and structural design, made it clear how difficult it is to create advanced systems while collaborating within a large team. The STS researc","url":"https://doi.org/10.18130/s7jt-ed58","authors":["Nubbe, Jeremiah"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.18130/s7jt-ed58","addedAt":"2026-08-31T06:39:59.256Z","updatedAt":"2026-08-31T06:39:59.256Z"},{"id":"doi:10.5281/zenodo.20036017","name":"The History of the Development of Geodetic Works in Engineering Fields","source":"datacite","abstract":"Engineering geodesy functions as the spatial foundation for all complex infrastructure projects, evolving from basic analog mensuration to sophisticated multidimensional spatial data management. This investigation chronologically and quantitatively evaluates the technological paradigm shifts within applied engineering surveying over the past century. By conducting a systematic comparative analysis of 85 major civil and industrial engineering projects executed between 1950 and 2025, the research tracks the precise correlation between instrument innovation and structural tolerance limits. Methodological approaches incorporated retrospective error analysis, shifting from optical-mechanical theodolite networks to contemporary Global Navigation Satellite Systems (GNSS) and Light Detection and Ranging (LiDAR) integrations. The empirical data indicates a profound geometric accuracy transformation; acceptable deviation margins in bridge and tunnel construction plummeted from ±18.5 mm in the 1960s to an ultra-precise ±1.2 mm in recent Building Information Modeling (BIM) environments. Furthermore, field productivity metrics demonstrate an 840% efficiency acceleration resulting from Unmanned Aerial Vehicle (UAV) photogrammetry compared to classical terrestrial triangulation. The transition toward real-time structural health monitoring networks fundamentally redefines the surveyor’s operational scope. The study empirically substantiates that modern geodetic engineering no longer merely maps pre-existing terrain but actively dictates the geometric viability and lifecycle sustainability of advanced architectural forms.","url":"https://doi.org/10.5281/zenodo.20036017","authors":["Karimov Faxriddin Alievich"],"tags":["Engineering geodesy, Spatial data infrastructure, GNSS technologies, Terrestrial laser scanning, Structural monitoring, Topographic surveying, BIM integration."],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.20036017","addedAt":"2026-08-31T06:39:59.256Z","updatedAt":"2026-08-31T06:39:59.256Z"},{"id":"doi:10.5281/zenodo.20036018","name":"The History of the Development of Geodetic Works in Engineering Fields","source":"datacite","abstract":"Engineering geodesy functions as the spatial foundation for all complex infrastructure projects, evolving from basic analog mensuration to sophisticated multidimensional spatial data management. This investigation chronologically and quantitatively evaluates the technological paradigm shifts within applied engineering surveying over the past century. By conducting a systematic comparative analysis of 85 major civil and industrial engineering projects executed between 1950 and 2025, the research tracks the precise correlation between instrument innovation and structural tolerance limits. Methodological approaches incorporated retrospective error analysis, shifting from optical-mechanical theodolite networks to contemporary Global Navigation Satellite Systems (GNSS) and Light Detection and Ranging (LiDAR) integrations. The empirical data indicates a profound geometric accuracy transformation; acceptable deviation margins in bridge and tunnel construction plummeted from ±18.5 mm in the 1960s to an ultra-precise ±1.2 mm in recent Building Information Modeling (BIM) environments. Furthermore, field productivity metrics demonstrate an 840% efficiency acceleration resulting from Unmanned Aerial Vehicle (UAV) photogrammetry compared to classical terrestrial triangulation. The transition toward real-time structural health monitoring networks fundamentally redefines the surveyor’s operational scope. The study empirically substantiates that modern geodetic engineering no longer merely maps pre-existing terrain but actively dictates the geometric viability and lifecycle sustainability of advanced architectural forms.","url":"https://doi.org/10.5281/zenodo.20036018","authors":["Karimov Faxriddin Alievich"],"tags":["Engineering geodesy, Spatial data infrastructure, GNSS technologies, Terrestrial laser scanning, Structural monitoring, Topographic surveying, BIM integration."],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.20036018","addedAt":"2026-08-31T06:39:59.256Z","updatedAt":"2026-08-31T06:39:59.256Z"},{"id":"doi:10.18154/rwth-2026-01960","name":"Hot-Spot Formation in Cu(In,Ga)Se$_2\\,$ Thin Film Solar Cells","source":"datacite","abstract":"Photovoltaic (PV) modules are susceptible to reliability concerns under reverse bias conditions, particularly when subjected to partial shading. When a solar cell is shaded, it generates less current than its unshaded counterparts, causing excess current to flow in reverse through the affected cell. This can result in a substantial reverse voltage, potentially leading to junction breakdown. Under sustained reverse bias stress, localized regions of the cell can become highly conductive, drawing in more current and dissipating it as heat. This heat accumulation can lead to the formation of localized \"hotspots,\" a phenomenon observed across all PV technologies. However, the severity of reverse bias damage varies depending on the material system and device architecture. A key reliability concern associated with reverse bias damage is the presence of positive feedback effects, which can trigger thermal runaway. A positive feedback loop where the hotspot becomes more conductive at higher temperatures, leads to an unstable system where the temperature rises quickly. If the temperature surpasses a critical threshold, the cell undergoes irreversible damage. Thin-film solar technologies are particularly susceptible to reverse bias-induced thermal runaway due to their structural and thermal properties. The encapsulation materials commonly used in PV modules have poor thermal conductivity, limiting their ability to dissipate heat efficiently. Additionally, the inherently thin absorber layers of thin-film modules provide little thermal mass, making them more prone to rapid temperature increases compared to conventional wafer-based PV technologies. Among thin-film solar cells, copper indium gallium selenide (Cu(In,Ga)Se$_{2}$ or CIGS) is a particularly promising candidate due to its high absorption coefficient of approximately $10^{5}\\,\\text{cm}^{-1}$ in the visible spectrum ($400-700\\,\\text{nm}$). This property enables ultra-thin absorber layers ($1-2\\,\\mu\\text{m}$), facilitating lightweight and flexible applications such as vehicle- and building-integrated photovoltaics (VIPV and BIPV) and unmanned aerial vehicles (UAVs). However, like other thin-film technologies, CIGS is prone to reverse bias damage due to its low thermal mass and the limited heat dissipation capabilities of standard encapsulation materials. A well-documented reverse bias degradation mechanism in CIGS solar cells is the formation of so-called \"wormlike defects\". In this thesis, I propose a three-phase model describing the progression of reverse bias damage in CIGS solar cells: (i) the nucleation phase, (ii) the growth phase, and (iii) the wandering phase. During the nucleation phase, thermal activation of the junction breakdown current leads to an initial instability, initiating a thermal runaway. This phase concludes when thermal decomposition occurs, segregating the CIGS material and forming a conductive shunt-like defect, marking the transition to irreversible damage. In the growth phase, the defect expands from the nanometer to the micrometer scale. Finally, in the wandering phase, the defect propagates through the cell, forming elongated wormlike structures. To investigate the nucleation phase, I developed a novel characterization method called Laser-Induced Hot-Spot Lock-In Thermography (HS-LIT) to visualize and quantify the interplay between thermal heat and electrical power. Initial measurements revealed that laser-induced hotspots caused localized power redistribution, leading to temperature increases. To enhance measurement precision, I introduced laser modulation, enabling the direct quantification of the loop gain driving the thermal runaway. A thermal runaway occurs when the loop gain exceeds 1. Typically, a loop gain above 1 is unmeasurable because it signifies an unstable system. However, in a modulated experiment, the system can temporarily exhibit loop gains above 1 while remaining stable over an entire modulation cycle. This allows for the non destruct","url":"https://doi.org/10.18154/rwth-2026-01960","authors":["Suheir, Nofal"],"tags":["Hochschulschrift","CIGS , photovoltaics , thin-film , hotspot , wormlike defect , reverse bias"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.18154/rwth-2026-01960","addedAt":"2026-08-31T06:39:59.256Z","updatedAt":"2026-08-31T06:40:00.496Z"},{"id":"doi:10.34847/nkl.bd55lo1x","name":"Room B001 in Building B at Qusur Mohareb, Before &amp; After (2025)”","source":"datacite","abstract":"This deposit contains the 3D model in GLTF and USDZ formats, as downloaded from Sketchfab. The storage also contains the JPG photographs that were used to create the Field Survey QM-2025B-3V-1 (for the “after” view). In accordance with prevailing legislation, the survey was conducted without the utilisation of unmanned aerial vehicle (UAV). How to quote this model in scientific papers? Fr. Colin, “Room B001 in Building B at Qusur Mohareb, Before &amp; After (2025)”, Field Survey QM-2025B-BDE-2 &amp; 3V-1, Strasbourg, 2026, DOI: 10.34847/nkl.bd55lo1x. Model stored on the data service “Nakala”: https://www.nakala.fr. Photographic survey &amp; modelling: Fr. Colin, Univ. de Strasbourg, CNRS, UMR 7044 Archimède. Topography: N.Bernabeu. Director of the Qusur Mohareb project: Cassandre Hartenstein. Partners of project: Egyptian Ministry of Tourism and Antiquities, IFAO, Univ. de Strasbourg, CNRS. The archaeological survey was modelled with the use of Metashape.","url":"https://doi.org/10.34847/nkl.bd55lo1x","authors":["Colin, Frédéric"],"tags":["Bahariya, Oasis de (Égypte)","archéologie","Photogrammétrie","architecture","Architecture antique","Architecture romaine","Architecture au Sahara"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.34847/nkl.bd55lo1x","addedAt":"2026-08-31T06:39:59.256Z","updatedAt":"2026-08-31T06:40:00.496Z"},{"id":"doi:10.21227/xq3a-8n91","name":"\"Multi-Temporal UAV Multispectral Dataset for Solar Illumination-Aware Vegetation Index Analysis in Paddy Rice Fields\"","source":"datacite","abstract":"\"This dataset contains multi-temporal UAV (Unmanned Aerial Vehicle) multispectral imagery-derived measurements collected over paddy rice (Oryza sativa) fields in West Bengal, India, during the 2025 Kharif cropping season (August\\u2013October 2025). Data were acquired using a DJI Mavic 3M multispectral UAV across two geographic locations , Debra and IIT Kharagpur, spanning three distinct field plots (Field 1, Field 2, Field 3) at flight altitudes ranging from approximately 2.7 m to 30 m above ground level.The dataset comprises 3,901 frame-level observations across 7 flight dates, capturing the full paddy growth trajectory from vegetative to reproductive stages. Each record includes raw digital number (DN) reflectance values, empirically calibrated surface reflectance, vegetation indices (NDVI, NDRE, GNDVI) computed at both DN and reflectance levels, UAV flight attitude parameters (yaw, pitch, roll: both flight body and gimbal), radiometric calibration metadata (radiometric scale, black level), and solar geometry parameters (solar zenith angle, solar azimuth angle, and cosine of zenith).A key feature of this dataset is the explicit inclusion of per-frame solar geometry (solar zenith and azimuth angles computed from GPS timestamp and coordinates), enabling rigorous investigation of solar illumination-induced radiometric bias in UAV-borne vegetation indices. The dataset supports research into illumination normalisation, cosZ\\u2013NDVI confound analysis, cross-date radiometric harmonisation, and the disentanglement of spatial versus illumination effects in lawnmower flight patterns. Flights with altitudes \\u2264 4 m have been excluded to ensure stable aerodynamic conditions.\"","url":"https://doi.org/10.21227/xq3a-8n91","authors":["Arundhati Boruah"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.21227/xq3a-8n91","addedAt":"2026-08-31T06:39:59.256Z","updatedAt":"2026-08-31T06:39:59.256Z"},{"id":"doi:10.5285/364d6aeb-34de-4fa2-8221-d8c9e30d0cce","name":"Wavelet-enhanced digital surface models and orthophotos of landfast sea ice from low cost unmanned aerial vehicle (UAV) surveys near Pond Inlet, Nunavut, Canada, 2023-2025","source":"datacite","abstract":"This dataset contains 92 georeferenced GeoTIFF products comprising 46 orthophotos and 46 digital surface models (DSMs) derived from low-cost UAV surveys of landfast sea ice in the Pond Inlet / Mittimatalik area, northeastern Baffin Island, Nunavut, Canada. The files span three field seasons in April 2023, April 2024, and March-April 2025 and are organised by year and product type. Filenames show acquisitions from DJI Mini 2 and DJI Mini 3 platforms. Red-green-blue (RGB) source imagery was first pre-processed with a complex double dual-tree wavelet workflow to generate wavelet-enhanced RGB inputs and then processed in WebODM Lightning with auto-boundary, DSM generation, nominal 5 cm orthophoto/digital elevation model resolution, and rolling-shutter correction. All final DSM GeoTIFFs were subsequently post-processed with a custom relative-elevation workflow, producing wavelet-enhanced DSMs that emphasise landfast sea-ice surface variability at length scales of less than about 50 m. Orthophotos are 4-band red-green-blue-alpha (RGBA) GeoTIFFs and DSMs are single-band Float32 GeoTIFFs. The products are georeferenced in World Geodetic System 1984 / Universal Transverse Mercator (WGS 84 / UTM) zones 17N and 18N and support analysis of sea-ice roughness, morphology, environmental conditions, and the use of low-cost sensors for characterising landfast sea ice across multiple years. The dataset was produced within the Sikuttiaq project co-led by Andrew Arreak and Michel Tsamados. This research and the resulting dataset were supported by the Canada-Inuit Nunangat United Kingdom (CINUK) Arctic Research Programme, a multilateral collaboration between United Kingdom Research and Innovation (UKRI), the National Research Council of Canada (NRC), Polar Knowledge Canada (POLAR), Inuit Tapiriit Kanatami (ITK), Parks Canada, and Fonds de recherche du Quebec (FRQ). Funding was provided under Natural Environment Research Council (NERC), UKRI, Grant Reference NE/X004643/1, for the project \"Empowering our communities to map rough ice and slush for safer sea-ice travel in Inuit Nunangat\" (Sikuttiaq). The project is co-led by Andrew Arreak (SmartICE) and Michel Tsamados (University College London) and focuses on Inuit-led sea-ice monitoring and travel safety.","url":"https://doi.org/10.5285/364d6aeb-34de-4fa2-8221-d8c9e30d0cce","authors":["Newman, Thomas","Tsamados, Michel"],"tags":["\"EARTH SCIENCE\",\"CRYOSPHERE\",\"SEA ICE\",\"ICE ROUGHNESS\"","\"EARTH SCIENCE\",\"CRYOSPHERE\",\"SEA ICE\""],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5285/364d6aeb-34de-4fa2-8221-d8c9e30d0cce","addedAt":"2026-08-31T06:39:59.256Z","updatedAt":"2026-08-31T06:39:59.256Z"},{"id":"doi:10.5281/zenodo.17708397","name":"LoRaIQ: Experimental LoRa Dataset with Annotated IQ Samples","source":"datacite","abstract":"Summary This dataset contains more than 75,000 LoRa frames recorded within and around the EPFL campus in Lausanne, Switzerland. The measurements were collected using four remote radio heads (RRHs) installed on campus rooftops. Each entry provides all information required for synchronization, demodulation, and decoding of a single LoRa frame. Every frame is accompanied by an IQ sample file following the standard SigMF [1] specification, along with its corresponding metadata (annotations). Dataset Details Recordings were captured by four RRHs located at the positions shown in Fig. 1. Each RRH consists of a USRP-2920, a Raspberry Pi 5, and a Quectel L80 GPS receiver. The deployment captures a wide range of propagation scenarios due to differing elevations, line-of-sight conditions, and urban obstructions within the campus environment. The dataset features transmissions from a unmanned aerial vehicle (UAV) and a pedestrian-carried transmitter, with transmitter velocities between 0 and 5.6 m/s. Measurements are grouped for three representative scenarios: UAV line-of-sight (LoS) UAV non-line-of-sight (NLoS) Pedestrian NLoS The transmitter parameters used during data collection are summarized below: Frequency 862.5 MHz Spreading Factor 7 | 10 Coding Rate 4/5 Bandwidth 125 | 250 kHz Tx Power 14 dBm Payload Length 7 | 19 B Note: Boldface values indicate the parameters used for the UAV-mounted transmitter. In addition to all synchronization parameters required for demodulation, such as carrier frequency offset, reception timestamp, and LoRa PHY parameters, each frame also includes the transmit location, transmit payload, and an SNR estimate. Dataset Entry All the keys of the dataset.csv is indicated below and Fig. 2 illustrates the spectrogram of one received frame opened with Inspectrum [2], showing the LoRa chirps with annotations. sf cr fc bandwidth payload_base64 rrh_idx rx_sample_rate rx_timestamp_full rx_timestamp_frac cfo snr latitude longitude velocity target_velocity name transmission_idx area_type sigmf_file sigmf_file_offset sigmf_file_n_samples sigmf_file_start_time_full sigmf_file_start_time_frac File Structure dataset.csv (Dataset with all frame descriptions) load_and_plot_samples.py (Exemple to load IQ samples) rrh_locations.md (GPS positions of the four remote radio heads) zenodo_description_figures.png (An illustration shown on Zenodo description page) sigmfs (Folder containing the raw IQ samples) RRH1 1.sigmf-data 1.sigmf-meta 2.sigmf-data 2.sigmf-meta ... ... RRH4 1.sigmf-data 1.sigmf-meta 2.sigmf-data ... .... Contact For any questions related to this dataset, please contact joachim.tapparel@epfl.ch. References [1] \"SigMF specification,'' Accessed: Dec 1, 2025. [Online]. Available: https://sigmf.org/ [2] \"Inspectrum\", Accessed: Dec 1, 2025. [Online]. Available: https://github.com/miek/inspectrum","url":"https://doi.org/10.5281/zenodo.17708397","authors":["Tapparel, Joachim","Burg, Andreas"],"tags":["LoRa","IQ samples","C-RAN","UAV"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.17708397","addedAt":"2026-08-31T06:39:59.256Z","updatedAt":"2026-08-31T06:39:59.256Z"},{"id":"doi:10.21227/0tks-e209","name":"\"RGB-T Fissure Dataset\"","source":"datacite","abstract":"\"This dataset was collected by unmanned aerial vehicle (UAV) in the ground fracture concentration area of Pingshuo Mining Area, Shuozhou City, Shanxi Province in July 2025. It consists of 1820 pairs of optical (RGB) and thermal infrared &nbsp;(TIR) data samples after standardized preprocessing, spatial registration and pixel-level annotation. The dataset is specifically established for performance evaluation of the RGB-T Fissure-Net network model. It can provide a reliable multi-modal benchmark for the research on ground fracture detection and remote sensing monitoring of geological disasters in mining areas. This dataset is the first mining fissure dataset that jointly utilizes optical and TIR modalities for semantic segmentation research.\"","url":"https://doi.org/10.21227/0tks-e209","authors":["Jiayin Luo"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.21227/0tks-e209","addedAt":"2026-08-31T06:39:59.256Z","updatedAt":"2026-08-31T06:39:59.256Z"},{"id":"doi:10.6084/m9.figshare.28062891","name":"A compact aerosol mobility imager (AMI) for instantaneous aerosol size distribution measurements, part I: Design and model evaluation","source":"datacite","abstract":"Aerosol Mobility Imager (AMI), a compact instrument for rapid measurements of aerosol size distribution, is presented. AMI employs a parallel plate mobility separator wherein the electric field strength varies along the width of the plate. Under the influence of the electric field, charged particles are spatially separated inside the separator according to their electrical mobility. A novel extraction growth cell (EGC) then extracts a portion of the flow carrying the spatially separated particles and converges the extracted flow into a narrow focusing nozzle slit, while simultaneously growing the particles by water condensation. Grown particles exiting the focusing slit are imaged to capture both the number and mobility dependent position of the particles, which allows for derivation of aerosol size distribution. The employment of the new EGC significantly reduces the instrument size, weight, and power consumption compared to the previously developed Fast Integrated Mobility Spectrometer (FIMS). The combination of a compact size and fast measurement speed is expected to make AMI an ideal instrument for deployments in many laboratory studies and field observations, including onboard platforms such as the unmanned aerial vehicle and tethered balloon system. In this first of a series of two papers, we present numerical simulations of particle trajectories and growth of spatially separated particles in AMI. The AMI performance characteristics, including transfer function, transmission efficiency, and mobility resolution, are derived from the simulated particle trajectories. The results indicate that AMI can match the 1 Hz time resolution of FIMS with a comparable dynamic size range of 8–400 nm in particle diameter, while maintaining a mobility resolution above 3. The experimental demonstration and characterization of AMI are presented in an accompanying paper. Copyright © 2025 American Association for Aerosol Research","url":"https://doi.org/10.6084/m9.figshare.28062891","authors":["Zhang, Jiaoshi","Spielman, Steven","Li, Jing","Chen, Xiaoyu","Hering, Susanne","Wang, Jian"],"tags":["Space Science","Medicine","Biotechnology","Environmental Sciences not elsewhere classified","Chemical Sciences not elsewhere classified"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.6084/m9.figshare.28062891","addedAt":"2026-08-31T06:39:59.256Z","updatedAt":"2026-08-31T06:39:59.256Z"},{"id":"doi:10.6084/m9.figshare.28062891.v1","name":"A compact aerosol mobility imager (AMI) for instantaneous aerosol size distribution measurements, part I: Design and model evaluation","source":"datacite","abstract":"Aerosol Mobility Imager (AMI), a compact instrument for rapid measurements of aerosol size distribution, is presented. AMI employs a parallel plate mobility separator wherein the electric field strength varies along the width of the plate. Under the influence of the electric field, charged particles are spatially separated inside the separator according to their electrical mobility. A novel extraction growth cell (EGC) then extracts a portion of the flow carrying the spatially separated particles and converges the extracted flow into a narrow focusing nozzle slit, while simultaneously growing the particles by water condensation. Grown particles exiting the focusing slit are imaged to capture both the number and mobility dependent position of the particles, which allows for derivation of aerosol size distribution. The employment of the new EGC significantly reduces the instrument size, weight, and power consumption compared to the previously developed Fast Integrated Mobility Spectrometer (FIMS). The combination of a compact size and fast measurement speed is expected to make AMI an ideal instrument for deployments in many laboratory studies and field observations, including onboard platforms such as the unmanned aerial vehicle and tethered balloon system. In this first of a series of two papers, we present numerical simulations of particle trajectories and growth of spatially separated particles in AMI. The AMI performance characteristics, including transfer function, transmission efficiency, and mobility resolution, are derived from the simulated particle trajectories. The results indicate that AMI can match the 1 Hz time resolution of FIMS with a comparable dynamic size range of 8–400 nm in particle diameter, while maintaining a mobility resolution above 3. The experimental demonstration and characterization of AMI are presented in an accompanying paper. Copyright © 2025 American Association for Aerosol Research","url":"https://doi.org/10.6084/m9.figshare.28062891.v1","authors":["Zhang, Jiaoshi","Spielman, Steven","Li, Jing","Chen, Xiaoyu","Hering, Susanne","Wang, Jian"],"tags":["Space Science","Medicine","Biotechnology","Environmental Sciences not elsewhere classified","Chemical Sciences not elsewhere classified"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.6084/m9.figshare.28062891.v1","addedAt":"2026-08-31T06:39:59.256Z","updatedAt":"2026-08-31T06:39:59.256Z"},{"id":"doi:10.5281/zenodo.17720459","name":"Maritime surveillance from Primoco One 150 Unmanned aerial vehicle","source":"datacite","abstract":"Selected unedited video reels from RGB (day channel) and MWIR (thermal channel) electrooptical surveillance system installed in the Primoco One 150 Unmanned aerial vehicle. The videos capture primarily maritime targets detected on a long range (1 to 20 km slant range from the UAV) showing various ships and vessels. The video material declares the detection capabilities including vessels, ships and USV vehicles and their swath as a typical attribute. The Primoco One 150 Unmanned aerial vehicle system allows for automatic target surveillance from stand-off distance disallowing to the target to be aware of the unmanned aerial vehicle. Zooming parameters show the ability of the electrooptical surveillance system to perform a detailed assessment of the maritime targets with resolution sufficient for target identification and/or automatic image analysis using AI tools and Kafka models. On certain videos is clearly visible the electrooptical system quality allows for fine details detection such as number of persons on the vessel, intention of the vessel, identification of the vessels as of course its geoposition. All the videos were live-streamed to the command center for real-time processing. Videos recorded during tests and demonstartion of I-SEAMORE project during REPMUS25 exercise at Troia, Portugal. September 2025.","url":"https://doi.org/10.5281/zenodo.17720459","authors":["PRIMOCO UAV SE"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.17720459","addedAt":"2026-08-31T06:39:59.256Z","updatedAt":"2026-08-31T06:39:59.256Z"},{"id":"doi:10.5281/zenodo.17720460","name":"Maritime surveillance from Primoco One 150 Unmanned aerial vehicle","source":"datacite","abstract":"Selected unedited video reels from RGB (day channel) and MWIR (thermal channel) electrooptical surveillance system installed in the Primoco One 150 Unmanned aerial vehicle. The videos capture primarily maritime targets detected on a long range (1 to 20 km slant range from the UAV) showing various ships and vessels. The video material declares the detection capabilities including vessels, ships and USV vehicles and their swath as a typical attribute. The Primoco One 150 Unmanned aerial vehicle system allows for automatic target surveillance from stand-off distance disallowing to the target to be aware of the unmanned aerial vehicle. Zooming parameters show the ability of the electrooptical surveillance system to perform a detailed assessment of the maritime targets with resolution sufficient for target identification and/or automatic image analysis using AI tools and Kafka models. On certain videos is clearly visible the electrooptical system quality allows for fine details detection such as number of persons on the vessel, intention of the vessel, identification of the vessels as of course its geoposition. All the videos were live-streamed to the command center for real-time processing. Videos recorded during tests and demonstartion of I-SEAMORE project during REPMUS25 exercise at Troia, Portugal. September 2025.","url":"https://doi.org/10.5281/zenodo.17720460","authors":["PRIMOCO UAV SE"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.17720460","addedAt":"2026-08-31T06:39:59.256Z","updatedAt":"2026-08-31T06:39:59.256Z"},{"id":"doi:10.48550/arxiv.2510.02700","name":"A UAV-Based VNIR Hyperspectral Benchmark Dataset for Landmine and UXO Detection","source":"datacite","abstract":"This paper introduces a novel benchmark dataset of Visible and Near-Infrared (VNIR) hyperspectral imagery acquired via an unmanned aerial vehicle (UAV) platform for landmine and unexploded ordnance (UXO) detection research. The dataset was collected over a controlled test field seeded with 143 realistic surrogate landmine and UXO targets, including surface, partially buried, and fully buried configurations. Data acquisition was performed using a Headwall Nano-Hyperspec sensor mounted on a multi-sensor drone platform, flown at an altitude of approximately 20.6 m, capturing 270 contiguous spectral bands spanning 398-1002 nm. Radiometric calibration, orthorectification, and mosaicking were performed followed by reflectance retrieval using a two-point Empirical Line Method (ELM), with reference spectra acquired using an SVC spectroradiometer. Cross-validation against six reference objects yielded RMSE values below 1.0 and SAM values between 1 and 6 degrees in the 400-900 nm range, demonstrating high spectral fidelity. The dataset is released alongside raw radiance cubes, GCP/AeroPoint data, and reference spectra to support reproducible research. This contribution fills a critical gap in open-access UAV-based hyperspectral data for landmine detection and offers a multi-sensor benchmark when combined with previously published drone-based electromagnetic induction (EMI) data from the same test field.","url":"https://doi.org/10.48550/arxiv.2510.02700","authors":["Lekhak, Sagar","Ientilucci, Emmett J.","Baur, Jasper","Ghosh, Susmita"],"tags":["Image and Video Processing (eess.IV)","Computer Vision and Pattern Recognition (cs.CV)","Signal Processing (eess.SP)","FOS: Electrical engineering, electronic engineering, information engineering","FOS: Electrical engineering, electronic engineering, information engineering","FOS: Computer and information sciences","FOS: Computer and information sciences"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.48550/arxiv.2510.02700","addedAt":"2026-08-31T06:39:59.256Z","updatedAt":"2026-08-31T06:39:59.256Z"},{"id":"doi:10.5281/zenodo.17851230","name":"UAV seismic source data","source":"datacite","abstract":"UAV Seismic Source Exploration in High-Altitude and Rugged Terrains of the Tibetan Plateau (2025GL121308) Data: https://github.com/mazhenning110/GRL2025GL121308UAV-Seismic-Source","url":"https://doi.org/10.5281/zenodo.17851230","authors":["Ma, Zhenning","Schöps geb. Thiel, Isabel"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.17851230","addedAt":"2026-08-31T06:39:59.256Z","updatedAt":"2026-08-31T06:40:00.496Z"},{"id":"doi:10.5281/zenodo.17851231","name":"UAV seismic source data","source":"datacite","abstract":"UAV Seismic Source Exploration in High-Altitude and Rugged Terrains of the Tibetan Plateau (2025GL121308) Data: https://github.com/mazhenning110/GRL2025GL121308UAV-Seismic-Source","url":"https://doi.org/10.5281/zenodo.17851231","authors":["Ma, Zhenning","Schöps geb. Thiel, Isabel"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.17851231","addedAt":"2026-08-31T06:39:59.256Z","updatedAt":"2026-08-31T06:40:00.496Z"},{"id":"doi:10.6084/m9.figshare.31273456.v1","name":"Drone footage of narrow-ridged finless porpoises (<i>Neophocaena asiaeorientalis</i>) feeding on a fish school","source":"datacite","abstract":"These footages were recorded on 17 February 2025 in the coastal waters around Sugashima Island, Toba City, Mie Prefecture, Japan. Filming was conducted using an unmanned aerial vehicle (DJI Air 2S) between 07:19 and 08:00 local time. For uploading purposes, the footage resolution has been reduced to Full HD (1920 × 1080). The original footage is available in 5.4K resolution (5472 × 3078) upon request from the authors. Any use of these footages must include appropriate credit to the authors and the original source.","url":"https://doi.org/10.6084/m9.figshare.31273456.v1","authors":["Yagi, Genfu","Tsukada, Akiha"],"tags":["Behavioural ecology","Animal behaviour","Animal diet and nutrition","Marine and estuarine ecology (incl. marine ichthyology)"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.6084/m9.figshare.31273456.v1","addedAt":"2026-08-31T06:39:59.256Z","updatedAt":"2026-08-31T06:39:59.256Z"},{"id":"doi:10.6084/m9.figshare.31273456","name":"Drone footage of narrow-ridged finless porpoises (<i>Neophocaena asiaeorientalis</i>) feeding on a fish school","source":"datacite","abstract":"These footages were recorded on 17 February 2025 in the coastal waters around Sugashima Island, Toba City, Mie Prefecture, Japan. Filming was conducted using an unmanned aerial vehicle (DJI Air 2S) between 07:19 and 08:00 local time. For uploading purposes, the footage resolution has been reduced to Full HD (1920 × 1080). The original footage is available in 5.4K resolution (5472 × 3078) upon request from the authors. Any use of these footages must include appropriate credit to the authors and the original source.","url":"https://doi.org/10.6084/m9.figshare.31273456","authors":["Yagi, Genfu","Tsukada, Akiha"],"tags":["Behavioural ecology","Animal behaviour","Animal diet and nutrition","Marine and estuarine ecology (incl. marine ichthyology)"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.6084/m9.figshare.31273456","addedAt":"2026-08-31T06:39:59.256Z","updatedAt":"2026-08-31T06:39:59.256Z"},{"id":"doi:10.5061/dryad.18931zd4g","name":"AERPAW Find-a-Rover (AFAR) Challenge in December 2023","source":"datacite","abstract":"Introduction In December 2023, the AERPAW Find-a-Rover (AFAR) Challenge marked a significant advancement in the field of unmanned aerial and ground vehicle collaboration. The challenge, hosted by AERPAW (Aerial Experimentation and Research Platform for Advanced Wireless), focused on the integration of cutting-edge technologies in unmanned aerial vehicles (UAVs) and unmanned ground vehicles (UGVs). Objective of the Challenge The primary objective of the AFAR Challenge was to demonstrate the capability of UAVs in accurately and swiftly localizing a UGV. Competitors were tasked with utilizing a UAV equipped with a software-defined radio (SDR) to detect and localize the UGV. The SDR on the UAV was designed to continuously receive a specific channel-sounding waveform, as detailed in the GE2 example experiment from the AERPAW user manual. Technical Specifications and Constraints Waveform Characteristics: The challenge mandated the use of a narrowband waveform with a bandwidth of 125 KHz. Competitors were restricted from altering the waveform parameters at the UGV, ensuring a standardized test environment. Antenna Configuration: The system setup included one transmit antenna and one receiver antenna, with the antenna patterns for both being provided to the participants. Environmental Data: Competitors were also given a geographical map of the environment to aid in the strategic deployment of the UAV. Challenge Execution Participants in the challenge had the flexibility to either use fixed waypoints for the UAV or develop their own algorithms for trajectory updates. These algorithms could instruct the UAV on the next waypoint to fly to, based on the observed signal strength received from the UGV. While the experiments have been executed and the data has been collected by the AERPAW Operations team in the real-world testbed environment, the experiments have been originally developed by the participating teams in AERPAW's digital twin. This public dataset includes data for all teams from both the development environment and the real-world environment. Names of the teams, their corresponding institutions, and the names of the team leads, are as follows.1) Eagles, University of North Texas (Lead: Jaya Sravani Mandapaka)2) NYU Wireless, NYU (Lead: Weijie Wang)3) Team SunLab, University of Georgia (Lead: Paul Kudyba)4) Team Wolfpack, NC State University (Lead: Cole Dickerson)5) Daedalic Wings, NC State University (Lead: Baisakhi Chatterjee)","url":"https://doi.org/10.5061/dryad.18931zd4g","authors":["Gurses, Anil","Fahim Raouf, Amir Hossein","Maeng, Sung Joon","Ozdemir, Ozgur","Guvenc, Ismail","Sichitiu, Mihail"],"tags":["FOS: Electrical engineering, electronic engineering, information engineering","FOS: Electrical engineering, electronic engineering, information engineering","AERPAW","software-defined radio","unmanned aerial vehicles","unmanned ground vehicles","Localization"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5061/dryad.18931zd4g","addedAt":"2026-08-31T06:39:59.256Z","updatedAt":"2026-08-31T06:39:59.256Z"},{"id":"doi:10.48550/arxiv.2512.15173","name":"UAV-enabled Computing Power Networks: Task Completion Probability Analysis","source":"datacite","abstract":"This paper presents an innovative framework that synergistically enhances computing performance through ubiquitous computing power distribution and dynamic computing node accessibility control via adaptive unmanned aerial vehicle (UAV) positioning, establishing UAV-enabled Computing Power Networks (UAV-CPNs). In UAV-CPNs, UAVs function as dynamic aerial relays, outsourcing tasks generated in the request zone to an expanded service zone, consisting of a diverse range of computing devices, from vehicles with onboard computational capabilities and edge servers to dedicated computing nodes. This approach has the potential to alleviate communication bottlenecks in traditional computing power networks and overcome the \"island effect\" observed in multi-access edge computing. However, how to quantify the network performance under the complex spatio-temporal dynamics of both communication and computing power is a significant challenge, which introduces intricacies beyond those found in conventional networks. To address this, in this paper, we introduce task completion probability as the primary performance metric for evaluating the ability of UAV-CPNs to complete ground users' tasks within specified end-to-end latency requirements. Utilizing theories from stochastic processes and stochastic geometry, we derive analytical expressions that facilitate the assessment of this metric. Our numerical results emphasize that striking a delicate balance between communication and computational capabilities is essential for enhancing the performance of UAV-CPNs. Moreover, our findings show significant performance gains from the widespread distribution of computing nodes.","url":"https://doi.org/10.48550/arxiv.2512.15173","authors":["Deng, Yiqin","Fang, Zhengru","Hu, Senkang","Ma, Yanan","Zhang, Haixia","Fang, Yuguang"],"tags":["Networking and Internet Architecture (cs.NI)","FOS: Computer and information sciences","FOS: Computer and information sciences"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.48550/arxiv.2512.15173","addedAt":"2026-08-31T06:39:59.256Z","updatedAt":"2026-08-31T06:39:59.256Z"},{"id":"doi:10.5281/zenodo.17877793","name":"Software and Trained Models for \"Fair Coverage for Unmanned Aerial Vehicle-Assisted Cellular Networks with Deep Reinforcement Learning\"","source":"datacite","abstract":"This repository contains the complete research artifact for the paper: “Fair Coverage for Unmanned Aerial Vehicle-Assisted Cellular Networks with Deep Reinforcement Learning” (IEEE Internet of Things Journal, 2025). The archive includes all software, configuration files, trained model parameters, and reproducibility tools used to obtain the results presented in the manuscript. The provided code implements a multi-agent deep reinforcement learning (MARL) framework for dynamic UAV deployment under mobile users, partial observability, backhaul constraints, and fairness–energy trade-offs. Both the UAV-D3QN and UAV-PPO policies are included, along with the full simulation environment used to evaluate them. Contents Source code for training and evaluating the UAV MARL algorithms Trained model checkpoints for all scenarios reported in the paper Simulation environment (coverage model, fairness metrics, user mobility, obstacles, backhaul connectivity) Custom neural network layers, including attention, convolutional, and graph-based modules Heuristic baseline implementations Experiment configuration files Dockerfile for reproducing the exact software environment Evaluation scripts to reproduce coverage, fairness, and energy results Purpose This archive is intended to facilitate full reproducibility of the experiments, enable reuse of the trained models, and support further research on UAV-assisted wireless networks and multi-agent reinforcement learning. The included Dockerfile allows users to recreate the execution environment without dependency issues, ensuring that results can be reliably reproduced. Licensing All source code and trained models are released under the MIT License, permitting reuse in both academic and industrial contexts.","url":"https://doi.org/10.5281/zenodo.17877793","authors":["Moreira, Danilo","Azurdia, Cesar","Ruiz-del-Solar, Javier"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.17877793","addedAt":"2026-08-31T06:39:59.256Z","updatedAt":"2026-08-31T06:39:59.256Z"},{"id":"doi:10.5281/zenodo.17877794","name":"Software and Trained Models for \"Fair Coverage for Unmanned Aerial Vehicle-Assisted Cellular Networks with Deep Reinforcement Learning\"","source":"datacite","abstract":"This repository contains the complete research artifact for the paper: “Fair Coverage for Unmanned Aerial Vehicle-Assisted Cellular Networks with Deep Reinforcement Learning” (IEEE Internet of Things Journal, 2025). The archive includes all software, configuration files, trained model parameters, and reproducibility tools used to obtain the results presented in the manuscript. The provided code implements a multi-agent deep reinforcement learning (MARL) framework for dynamic UAV deployment under mobile users, partial observability, backhaul constraints, and fairness–energy trade-offs. Both the UAV-D3QN and UAV-PPO policies are included, along with the full simulation environment used to evaluate them. Contents Source code for training and evaluating the UAV MARL algorithms Trained model checkpoints for all scenarios reported in the paper Simulation environment (coverage model, fairness metrics, user mobility, obstacles, backhaul connectivity) Custom neural network layers, including attention, convolutional, and graph-based modules Heuristic baseline implementations Experiment configuration files Dockerfile for reproducing the exact software environment Evaluation scripts to reproduce coverage, fairness, and energy results Purpose This archive is intended to facilitate full reproducibility of the experiments, enable reuse of the trained models, and support further research on UAV-assisted wireless networks and multi-agent reinforcement learning. The included Dockerfile allows users to recreate the execution environment without dependency issues, ensuring that results can be reliably reproduced. Licensing All source code and trained models are released under the MIT License, permitting reuse in both academic and industrial contexts.","url":"https://doi.org/10.5281/zenodo.17877794","authors":["Moreira, Danilo","Azurdia, Cesar","Ruiz-del-Solar, Javier"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.17877794","addedAt":"2026-08-31T06:39:59.256Z","updatedAt":"2026-08-31T06:39:59.256Z"},{"id":"doi:10.48550/arxiv.2511.14504","name":"Aerial Assistance System for Automated Firefighting during Turntable Ladder Operations","source":"datacite","abstract":"Fires in industrial facilities pose special challenges to firefighters, e.g., due to the sheer size and scale of the buildings. The resulting visual obstructions impair firefighting accuracy, further compounded by inaccurate assessments of the fire's location. Such imprecision simultaneously increases the overall damage and prolongs the fire-brigades operation unnecessarily. We propose an automated assistance system for firefighting using a motorized fire monitor on a turntable ladder with aerial support from an unmanned aerial vehicle (UAV). The UAV flies autonomously within an obstacle-free flight funnel derived from geodata, detecting and localizing heat sources. An operator supervises the operation on a handheld controller and selects a fire target in reach. After the selection, the UAV automatically plans and traverses between two triangulation poses for continued fire localization. Simultaneously, our system steers the fire monitor to ensure the water jet reaches the detected heat source. In preliminary tests, our assistance system successfully localized multiple heat sources and directed a water jet towards the fires.","url":"https://doi.org/10.48550/arxiv.2511.14504","authors":["Quenzel, Jan","Sekin, Valerij","Schleich, Daniel","Miller, Alexander","Stampa, Merlin","Pahlke, Norbert","Röhrig, Christof","Behnke, Sven"],"tags":["Robotics (cs.RO)","FOS: Computer and information sciences","FOS: Computer and information sciences"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.48550/arxiv.2511.14504","addedAt":"2026-08-31T06:39:59.256Z","updatedAt":"2026-08-31T06:39:59.256Z"},{"id":"doi:10.6084/m9.figshare.29310743.v1","name":"Video and Data For \"Behavioral Evidence of Predator-Predator Commensalism: Cobia Track and Feed on Prey Disturbed by Southern Stingrays\"","source":"datacite","abstract":"Video Title: Aerial Footage of Cobia–Stingray Commensal Foraging Interaction Description: This video captures a commensal interaction between a cobia ( Rachycentron canadum ) and a southern stingray ( Hypanus americanus ) in Biscayne Bay, Florida, recorded on April 26, 2025, during an aerial survey using an unmanned aerial vehicle (UAV). The footage was collected as part of a biodiversity monitoring program employing a “roaming” transect method. A DJI Mavic 2 Zoom drone, operated by an FAA Part 107 certified pilot, followed an “S”-shaped search pattern within a 1000-meter radius of the launch site to detect elasmobranchs.Upon locating the stingray, the UAV tracked its behavior from an altitude of 5–25 meters, following established protocols (Oleksyn et al. 2020). The video documents multiple foraging behaviors by the stingray, including active scanning, digging, and suction feeding, and shows a cobia closely trailing the stingray and opportunistically consuming displaced prey—providing clear visual evidence of predator–predator commensalism. Date of Recording: April 26, 2025 Location: Biscayne Bay, Florida Drone Model: DJI Mavic 2 Zoom Media Search Title: Behavioral Dataset of Cobia–Stingray Interactions from Publicly Available Online Media Description: This dataset documents interactions between cobia ( Rachycentron canadum ) and foraging southern stingrays ( Hypanus americanus ) based on a semi-structured survey of publicly available web content. On July 21, 2025, a keyword-based search (“cobia AND southern stingray”) was conducted across social media, blogs, forums, and news sites to identify visual or anecdotal evidence of commensal foraging interactions. A total of 14 relevant observations were compiled and systematically coded. Each entry includes data on behavior type (e.g., following, hovering, consuming displaced prey), media presence (photo or video), habitat type, geographic location, and other contextual details. Most observations occurred in shallow inshore habitats in Florida, with additional entries from the Atlantic coasts of North Carolina and Virginia. File Descriptions: Cobia_Media_Raw_Data.csv — Structured behavioral data derived from online media, including species involved, behavior type, media format, habitat, and geographic location. Cobia_Media_Data_ReadMe.csv — Metadata file providing definitions of all variables, coding categories, and behavior descriptions used in the dataset.","url":"https://doi.org/10.6084/m9.figshare.29310743.v1","authors":["Saltzman, Julia"],"tags":["Behavioural ecology","Marine and estuarine ecology (incl. marine ichthyology)"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.6084/m9.figshare.29310743.v1","addedAt":"2026-08-31T06:39:59.256Z","updatedAt":"2026-08-31T06:39:59.256Z"},{"id":"doi:10.6084/m9.figshare.29310743","name":"Video and Data For \"Behavioral Evidence of Predator-Predator Commensalism: Cobia Track and Feed on Prey Disturbed by Southern Stingrays\"","source":"datacite","abstract":"Video Title: Aerial Footage of Cobia–Stingray Commensal Foraging Interaction Description: This video captures a commensal interaction between a cobia ( Rachycentron canadum ) and a southern stingray ( Hypanus americanus ) in Biscayne Bay, Florida, recorded on April 26, 2025, during an aerial survey using an unmanned aerial vehicle (UAV). The footage was collected as part of a biodiversity monitoring program employing a “roaming” transect method. A DJI Mavic 2 Zoom drone, operated by an FAA Part 107 certified pilot, followed an “S”-shaped search pattern within a 1000-meter radius of the launch site to detect elasmobranchs.Upon locating the stingray, the UAV tracked its behavior from an altitude of 5–25 meters, following established protocols (Oleksyn et al. 2020). The video documents multiple foraging behaviors by the stingray, including active scanning, digging, and suction feeding, and shows a cobia closely trailing the stingray and opportunistically consuming displaced prey—providing clear visual evidence of predator–predator commensalism. Date of Recording: April 26, 2025 Location: Biscayne Bay, Florida Drone Model: DJI Mavic 2 Zoom Media Search Title: Behavioral Dataset of Cobia–Stingray Interactions from Publicly Available Online Media Description: This dataset documents interactions between cobia ( Rachycentron canadum ) and foraging southern stingrays ( Hypanus americanus ) based on a semi-structured survey of publicly available web content. On July 21, 2025, a keyword-based search (“cobia AND southern stingray”) was conducted across social media, blogs, forums, and news sites to identify visual or anecdotal evidence of commensal foraging interactions. A total of 14 relevant observations were compiled and systematically coded. Each entry includes data on behavior type (e.g., following, hovering, consuming displaced prey), media presence (photo or video), habitat type, geographic location, and other contextual details. Most observations occurred in shallow inshore habitats in Florida, with additional entries from the Atlantic coasts of North Carolina and Virginia. File Descriptions: Cobia_Media_Raw_Data.csv — Structured behavioral data derived from online media, including species involved, behavior type, media format, habitat, and geographic location. Cobia_Media_Data_ReadMe.csv — Metadata file providing definitions of all variables, coding categories, and behavior descriptions used in the dataset.","url":"https://doi.org/10.6084/m9.figshare.29310743","authors":["Saltzman, Julia"],"tags":["Behavioural ecology","Marine and estuarine ecology (incl. marine ichthyology)"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.6084/m9.figshare.29310743","addedAt":"2026-08-31T06:39:59.256Z","updatedAt":"2026-08-31T06:39:59.256Z"},{"id":"doi:10.48550/arxiv.2511.06749","name":"Semi-distributed Cross-modal Air-Ground Relative Localization","source":"datacite","abstract":"Efficient, accurate, and flexible relative localization is crucial in air-ground collaborative tasks. However, current approaches for robot relative localization are primarily realized in the form of distributed multi-robot SLAM systems with the same sensor configuration, which are tightly coupled with the state estimation of all robots, limiting both flexibility and accuracy. To this end, we fully leverage the high capacity of Unmanned Ground Vehicle (UGV) to integrate multiple sensors, enabling a semi-distributed cross-modal air-ground relative localization framework. In this work, both the UGV and the Unmanned Aerial Vehicle (UAV) independently perform SLAM while extracting deep learning-based keypoints and global descriptors, which decouples the relative localization from the state estimation of all agents. The UGV employs a local Bundle Adjustment (BA) with LiDAR, camera, and an IMU to rapidly obtain accurate relative pose estimates. The BA process adopts sparse keypoint optimization and is divided into two stages: First, optimizing camera poses interpolated from LiDAR-Inertial Odometry (LIO), followed by estimating the relative camera poses between the UGV and UAV. Additionally, we implement an incremental loop closure detection algorithm using deep learning-based descriptors to maintain and retrieve keyframes efficiently. Experimental results demonstrate that our method achieves outstanding performance in both accuracy and efficiency. Unlike traditional multi-robot SLAM approaches that transmit images or point clouds, our method only transmits keypoint pixels and their descriptors, effectively constraining the communication bandwidth under 0.3 Mbps. Codes and data will be publicly available on https://github.com/Ascbpiac/cross-model-relative-localization.git.","url":"https://doi.org/10.48550/arxiv.2511.06749","authors":["Lu, Weining","Bin, Deer","Ma, Lian","Ma, Ming","Ma, Zhihao","Chen, Xiangyang","Wang, Longfei","Feng, Yixiao","Jiang, Zhouxian","Shi, Yongliang","Liang, Bin"],"tags":["Robotics (cs.RO)","Computer Vision and Pattern Recognition (cs.CV)","FOS: Computer and information sciences","FOS: Computer and information sciences"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.48550/arxiv.2511.06749","addedAt":"2026-08-31T06:39:59.256Z","updatedAt":"2026-08-31T06:39:59.256Z"},{"id":"doi:10.5281/zenodo.17563442","name":"Data for \"Co-regulation of water use and canopy temperature in desert trees\"","source":"datacite","abstract":"This repository contains the data for the results presented in the paper \"Co-regulation of water use and canopy temperature in desert trees\" (Morgan et al., 2025). The dataset consists of remotely sensed retrievals of canopy conductance, transpiration, and temperature from an unmanned aerial vehicle (UAV). Data were collected in 2022 at three sites along the Kuiseb River, Namib Desert, Namibia, one in the wetter reaches (15.2942°E, –23.6666°S) and two in the dry lower reaches (15.0315°E, –23.5569°S and 14.8702°E, –23.3601°S). UAV flights were conducted in May and September 2022 to collect multispectral and thermal imagery and meteorological data (air temperature, relative humidity, wind speed, air pressure, and shortwave solar radiation). Field surveys of 306 trees across the three sites were conducted to identify species, map tree crowns, and measure tree size (diameter at breast height, DBH). Data were collected for two species: Acacia (Vachellia) erioloba and Faidherbia albida. For further description of the methodology and study design, please refer to the manuscript. The dataset includes the meteorological data for each flight, tree surveys, canopy temperature and transpiration observations, site information, and the tree locations. The files are further described below and in the README.txt file. Metadata for each data file are included in attached CSV files. For further questions, contact Bryn Morgan (brynmorgan@ucsb.edu). Data Data File Description flight_met_data.csv Meteorological data for all UAV flights sites.csv Site information and parameters tree_observations.csv Individual tree observations extracted from UAV flights trees.csv Individual tree demographic information derived from field surveys Geospatial data File Description canopies.shp canopies.geojson Polygon geometries for 306 surveyed tree crowns trunks.shp trunks.geojson Point geometries for 306 surveyed tree stems. Metadata File Description meta_flight_met.csv Variable descriptions for flight_met_data.csv meta_observations.csv Variable descriptions for trees.csv meta_sites.csv Variable descriptions for sites.csv meta_trees.csv Variable descriptions for trees.csv and shapefiles. Manuscript Morgan, B.E., Trugman, A.T., Caylor, K.K. (2025). Co-regulation of water use and canopy temperature in desert trees. Agriculture and Forest Meteorology.","url":"https://doi.org/10.5281/zenodo.17563442","authors":["Morgan, Bryn"],"tags":["ecohydrology","plant water use","transpiration","thermal stress","plant-water interactions","drylands","heat stress","thermal regulation"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.17563442","addedAt":"2026-08-31T06:39:59.256Z","updatedAt":"2026-08-31T06:39:59.256Z"},{"id":"doi:10.5281/zenodo.17563443","name":"Data for \"Co-regulation of water use and canopy temperature in desert trees\"","source":"datacite","abstract":"This repository contains the data for the results presented in the paper \"Co-regulation of water use and canopy temperature in desert trees\" (Morgan et al., 2025). The dataset consists of remotely sensed retrievals of canopy conductance, transpiration, and temperature from an unmanned aerial vehicle (UAV). Data were collected in 2022 at three sites along the Kuiseb River, Namib Desert, Namibia, one in the wetter reaches (15.2942°E, –23.6666°S) and two in the dry lower reaches (15.0315°E, –23.5569°S and 14.8702°E, –23.3601°S). UAV flights were conducted in May and September 2022 to collect multispectral and thermal imagery and meteorological data (air temperature, relative humidity, wind speed, air pressure, and shortwave solar radiation). Field surveys of 306 trees across the three sites were conducted to identify species, map tree crowns, and measure tree size (diameter at breast height, DBH). Data were collected for two species: Acacia (Vachellia) erioloba and Faidherbia albida. For further description of the methodology and study design, please refer to the manuscript. The dataset includes the meteorological data for each flight, tree surveys, canopy temperature and transpiration observations, site information, and the tree locations. The files are further described below and in the README.txt file. Metadata for each data file are included in attached CSV files. For further questions, contact Bryn Morgan (brynmorgan@ucsb.edu). Data Data File Description flight_met_data.csv Meteorological data for all UAV flights sites.csv Site information and parameters tree_observations.csv Individual tree observations extracted from UAV flights trees.csv Individual tree demographic information derived from field surveys Geospatial data File Description canopies.shp canopies.geojson Polygon geometries for 306 surveyed tree crowns trunks.shp trunks.geojson Point geometries for 306 surveyed tree stems. Metadata File Description meta_flight_met.csv Variable descriptions for flight_met_data.csv meta_observations.csv Variable descriptions for trees.csv meta_sites.csv Variable descriptions for sites.csv meta_trees.csv Variable descriptions for trees.csv and shapefiles. Manuscript Morgan, B.E., Trugman, A.T., Caylor, K.K. (2025). Co-regulation of water use and canopy temperature in desert trees. Agriculture and Forest Meteorology.","url":"https://doi.org/10.5281/zenodo.17563443","authors":["Morgan, Bryn"],"tags":["ecohydrology","plant water use","transpiration","thermal stress","plant-water interactions","drylands","heat stress","thermal regulation"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.17563443","addedAt":"2026-08-31T06:39:59.256Z","updatedAt":"2026-08-31T06:39:59.256Z"},{"id":"doi:10.4230/oasics.dx.2025.11","name":"A Data-Driven Particle Filter Approach for System-Level Prediction of Remaining Useful Life","source":"datacite","abstract":"Accurate estimation of the remaining useful life (RUL) of industrial systems is a critical component of predictive maintenance strategies. This work presents a data-driven method for RUL prediction that also quantifies uncertainty, drawing inspiration from model-based particle filtering techniques. Instead of simulating system state transitions, we model degradation as a stochastic process governed by performance metrics and use a Bayesian particle filtering framework to infer its underlying parameters. Our approach bypasses traditional state-space modeling by directly estimating the end-of-life distribution from observed performance data. Key characteristics of the filter, such as propagation noise and observation correction strength, are adapted over time based on current observations and past predictive performance, enabling better capture of future uncertainty. We evaluate the proposed method using an unmanned aerial vehicle simulation dataset developed for system-level prognostics research, which includes high-fidelity degradation signals and ground-truth system performance metrics for validating predictive accuracy.","url":"https://doi.org/10.4230/oasics.dx.2025.11","authors":["Diaz-Gonzalez, Abel","Coursey, Austin","Quinones-Grueiro, Marcos","Biswas, Gautam"],"tags":["remaining useful life","particle filter methods","data-driven methods","system-level prognostics","performance metrics","Applied computing → Aerospace","Computing methodologies → Artificial intelligence","Computing methodologies → Machine learning approaches"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.4230/oasics.dx.2025.11","addedAt":"2026-08-31T06:39:59.256Z","updatedAt":"2026-08-31T06:39:59.256Z"},{"id":"doi:10.48550/arxiv.2511.00055","name":"Exploring Federated Learning for Thermal Urban Feature Segmentation -- A Comparison of Centralized and Decentralized Approaches","source":"datacite","abstract":"Federated Learning (FL) is an approach for training a shared Machine Learning (ML) model with distributed training data and multiple participants. FL allows bypassing limitations of the traditional Centralized Machine Learning CL if data cannot be shared or stored centrally due to privacy or technical restrictions -- the participants train the model locally with their training data and do not need to share it among the other participants. This paper investigates the practical implementation and effectiveness of FL in a real-world scenario, specifically focusing on unmanned aerial vehicle (UAV)-based thermal images for common thermal feature detection in urban environments. The distributed nature of the data arises naturally and makes it suitable for FL applications, as images captured in two German cities are available. This application presents unique challenges due to non-identical distribution and feature characteristics of data captured at both locations. The study makes several key contributions by evaluating FL algorithms in real deployment scenarios rather than simulation. We compare several FL approaches with a centralized learning baseline across key performance metrics such as model accuracy, training time, communication overhead, and energy usage. This paper also explores various FL workflows, comparing client-controlled workflows and server-controlled workflows. The findings of this work serve as a valuable reference for understanding the practical application and limitations of the FL methods in segmentation tasks in UAV-based imaging.","url":"https://doi.org/10.48550/arxiv.2511.00055","authors":["Duda, Leonhard","Alibabaei, Khadijeh","Vollmer, Elena","Klug, Leon","Kozlov, Valentin","Berberi, Lisana","Benz, Mishal","Volk, Rebekka","Muriedas, Juan Pedro Gutiérrez Hermosillo","Götz, Markus","Díaz, Judith Sáínz-Pardo","García, Álvaro López","Schultmann, Frank","Streit, Achim"],"tags":["Machine Learning (cs.LG)","Artificial Intelligence (cs.AI)","FOS: Computer and information sciences","FOS: Computer and information sciences"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.48550/arxiv.2511.00055","addedAt":"2026-08-31T06:39:59.256Z","updatedAt":"2026-08-31T06:39:59.256Z"},{"id":"doi:10.48550/arxiv.2510.09912","name":"SpectralCA: Bi-Directional Cross-Attention for Next-Generation UAV Hyperspectral Vision","source":"datacite","abstract":"The relevance of this research lies in the growing demand for unmanned aerial vehicles (UAVs) capable of operating reliably in complex environments where conventional navigation becomes unreliable due to interference, poor visibility, or camouflage. Hyperspectral imaging (HSI) provides unique opportunities for UAV-based computer vision by enabling fine-grained material recognition and object differentiation, which are critical for navigation, surveillance, agriculture, and environmental monitoring. The aim of this work is to develop a deep learning architecture integrating HSI into UAV perception for navigation, object detection, and terrain classification. Objectives include: reviewing existing HSI methods, designing a hybrid 2D/3D convolutional architecture with spectral-spatial cross-attention, training, and benchmarking. The methodology is based on the modification of the Mobile 3D Vision Transformer (MDvT) by introducing the proposed SpectralCA block. This block employs bi-directional cross-attention to fuse spectral and spatial features, enhancing accuracy while reducing parameters and inference time. Experimental evaluation was conducted on the WHU-Hi-HongHu dataset, with results assessed using Overall Accuracy, Average Accuracy, and the Kappa coefficient. The findings confirm that the proposed architecture improves UAV perception efficiency, enabling real-time operation for navigation, object recognition, and environmental monitoring tasks. Keywords: SpectralCA, deep learning, computer vision, hyperspectral imaging, unmanned aerial vehicle, object detection, semi-supervised learning.","url":"https://doi.org/10.48550/arxiv.2510.09912","authors":["Brovko, D. V."],"tags":["Computer Vision and Pattern Recognition (cs.CV)","Artificial Intelligence (cs.AI)","FOS: Computer and information sciences","FOS: Computer and information sciences","I.4.8; I.2.6; I.2.10; I.5.1; I.5.4"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.48550/arxiv.2510.09912","addedAt":"2026-08-31T06:39:59.256Z","updatedAt":"2026-08-31T06:39:59.256Z"},{"id":"doi:10.5281/zenodo.17192780","name":"Dataset for: Soliton Gas Dynamics and Rogue Wave Enhancement in a Natural Coastal Environment","source":"datacite","abstract":"This repository contains the dataset reported in the article \"Soliton Gas Dynamics and Rogue Wave Enhancement in a Natural Coastal Environment\" by Cienfuegos et al. (2025), https://doi.org/10.1103/9zhq-j1sj The dataset contains:•⁠ ⁠Bottom-moored pressure signals (and velocities in the case of the ADVs)•⁠ ⁠Fixed camera recording•⁠ ⁠Unmanned aerial vehicle videos•⁠ ⁠Animation from the Serre-Green-Naghdi numerical experiment They are detailed next. # Bottom-moored pressure signals •⁠ ⁠RawData.zip : contains the raw dataset from the instruments•⁠ ⁠ReadPressureSensors.m: Matlab script to read the dataset as used in the manuscript•⁠ ⁠FSReconstruction.m: Matlab script to reconstruct the free surface elevation (ie water depth) from the pressure data as described in the manuscript # Fixed camera recording Footage from August 2nd, 2023, 10:00 hours.•⁠ ⁠20230802-1000.mp4 Rectified footage from August 2nd, 2023, 10 hours.•⁠ ⁠20230802-1000.mp4 Footage from August 2nd, 2023, 10:22 hours.•⁠ ⁠20230802-1022.mp4 Rectified footage from August 2nd, 2023, 10:22 hours.•⁠ ⁠20230802-1022-rect.mp4 # Unmanned aerial vehicle videos Tidal flood August 1st 2023, 10 hrs:•⁠ ⁠DJI_0250.mp4 Tidal flood August 2nd 2023, 10 hrs (footage used in the article):•⁠ ⁠DJI_0001.mp4 Stable and rectified video for the tidal flood of August 2nd 2023, 10 hrs (accelerated 12 times):•⁠ ⁠rect_video_12x.mp4 Uncompressed UAV videos are available upon request. # Animation from the Serre-Green-Naghdi numerical simulation •⁠ ⁠SGNsimulation.mp4","url":"https://doi.org/10.5281/zenodo.17192780","authors":["Cienfuegos, Rodrigo","Catalan, Patricio","Flores, Raul P.","Guerra, Maricarmen","Galaz Mora, José","Magaña, Efraín","Lucero, Felipe"],"tags":["Infragravity waves","soliton gas","rogue waves","Intermittently Open/Closed Estuaries"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.17192780","addedAt":"2026-08-31T06:39:59.256Z","updatedAt":"2026-08-31T06:39:59.256Z"},{"id":"doi:10.22541/au.176077096.61927743/v1","name":"Quantifying Grassland Desertification Using a Soil Pixel Proportion Indicator and Multi-scale Deep Learning Framework in Inner Mongolia","source":"preprints","abstract":"","url":"https://doi.org/10.22541/au.176077096.61927743/v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.22541/au.176077096.61927743/v1","addedAt":"2026-08-31T06:39:59.256Z","updatedAt":"2026-08-31T06:40:05.995Z"},{"id":"doi:10.21203/rs.3.rs-7421152/v1","name":"A dynamic geospatial digital twin resolves the riparian management paradox","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-7421152/v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.21203/rs.3.rs-7421152/v1","addedAt":"2026-08-31T06:39:59.256Z","updatedAt":"2026-08-31T06:40:05.995Z"},{"id":"doi:10.21203/rs.3.rs-7666132/v1","name":"An Intelligent and Adaptive Security Framework for UAV Swarms: A Cross-Layer Approach Integrating Highly Reliable EPUF, DRL-Based Key Management, and Distributed Ledger Technology","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-7666132/v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.21203/rs.3.rs-7666132/v1","addedAt":"2026-08-31T06:39:59.256Z","updatedAt":"2026-08-31T06:40:05.995Z"},{"id":"doi:10.20944/preprints202508.1745.v1","name":"YOLOv8n-RMB: UAV Imagery Rubber Milk Bowl Detection Model for Autonomous Robots Natural Latex Harvest","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202508.1745.v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.20944/preprints202508.1745.v1","addedAt":"2026-08-31T06:39:59.256Z","updatedAt":"2026-08-31T06:40:05.995Z"},{"id":"doi:10.20944/preprints202508.2065.v1","name":"Automated Security Validation Framework for Post-Quantum Cryptographic Implementations: A Multi-Domain Pilot Study Achieving 90% Edge Case Coverage","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202508.2065.v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.20944/preprints202508.2065.v1","addedAt":"2026-08-31T06:39:59.256Z","updatedAt":"2026-08-31T06:40:05.995Z"},{"id":"doi:10.21203/rs.3.rs-7399724/v1","name":"Efficient UAV-Based Maritime Search and Rescue: A Multi-Scale Edge-Enhanced Detection Algorithm with Frequency-Spatial Collaborative Processing","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-7399724/v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.21203/rs.3.rs-7399724/v1","addedAt":"2026-08-31T06:39:59.256Z","updatedAt":"2026-08-31T06:40:05.995Z"},{"id":"doi:10.20944/preprints202507.0619.v2","name":"Characterizing the Surface Grain Size Distribution in a Gravel-Bed River Using UAV Optical Imagery and SfM Photogrammetry","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202507.0619.v2","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.20944/preprints202507.0619.v2","addedAt":"2026-08-31T06:39:59.256Z","updatedAt":"2026-08-31T06:40:05.995Z"},{"id":"doi:10.20944/preprints202509.1417.v1","name":"Remote Sensing-Assisted Physical Modelling of Complex Spatio-Temporal Nitrate Leaching Patterns from Silvopastoral Systems","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202509.1417.v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.20944/preprints202509.1417.v1","addedAt":"2026-08-31T06:39:59.256Z","updatedAt":"2026-08-31T06:40:05.995Z"},{"id":"doi:10.20944/preprints202509.0262.v1","name":"YOLO11n-SMSH: An Improved UAV Target Detection Model For YOLO11n","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202509.0262.v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.20944/preprints202509.0262.v1","addedAt":"2026-08-31T06:39:59.256Z","updatedAt":"2026-08-31T06:40:05.995Z"},{"id":"doi:10.20944/preprints202509.0307.v1","name":"High-Resolution 3D Thermal Mapping: From Dual-Sensor Calibration to Thermally Enriched Points Cloud","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202509.0307.v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.20944/preprints202509.0307.v1","addedAt":"2026-08-31T06:39:59.256Z","updatedAt":"2026-08-31T06:40:05.995Z"},{"id":"doi:10.20944/preprints202509.1275.v1","name":"Channel Estimation in UAV-Assisted OFDM Systems by Leveraging LoS and Echo Sensing with Carrier Aggregation","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202509.1275.v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.20944/preprints202509.1275.v1","addedAt":"2026-08-31T06:39:59.256Z","updatedAt":"2026-08-31T06:40:05.995Z"},{"id":"doi:10.21203/rs.3.rs-6990823/v1","name":"Analysis of differences between WMM2020 data and local aeromagnetic data in China","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-6990823/v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.21203/rs.3.rs-6990823/v1","addedAt":"2026-08-31T06:39:59.256Z","updatedAt":"2026-08-31T06:40:05.995Z"},{"id":"doi:10.21203/rs.3.rs-7300041/v1","name":"Robust Deterministic Policy Gradient for Disturbance Attenuation and Its Application to Quadrotor Control","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-7300041/v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.21203/rs.3.rs-7300041/v1","addedAt":"2026-08-31T06:39:59.256Z","updatedAt":"2026-08-31T06:40:05.995Z"},{"id":"doi:10.21203/rs.3.rs-7434372/v1","name":"Wheat Fusarium head blight monitoring based on Bayesian optimization machine learning with the fusion of RGB and multispectral sensors from UAV","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-7434372/v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.21203/rs.3.rs-7434372/v1","addedAt":"2026-08-31T06:39:59.256Z","updatedAt":"2026-08-31T06:40:05.995Z"},{"id":"doi:10.20944/preprints202508.0914.v1","name":"An Intelligent and Adaptive Security Framework for UAV Swarms: A Cross-Layer Approach Integrating Highly Reliable EPUF, DRL-Based Key Management, and Distributed Ledger Technology","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202508.0914.v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.20944/preprints202508.0914.v1","addedAt":"2026-08-31T06:39:59.256Z","updatedAt":"2026-08-31T06:40:05.995Z"},{"id":"doi:10.20944/preprints202506.0312.v1","name":"Spatiotemporal Evolution of Coastal Dune Systems in the Çukurova Delta Plain: A Multitemporal Analysis Using Historical Aerial Photographs and UAV-Based Photogrammetry","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202506.0312.v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.20944/preprints202506.0312.v1","addedAt":"2026-08-31T06:39:59.256Z","updatedAt":"2026-08-31T06:40:05.995Z"},{"id":"doi:10.20944/preprints202506.2533.v1","name":"A Kalman Filter-Based Localization Calibration Method Optimized by Reinforcement Learning and Information Matrix Fusion","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202506.2533.v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.20944/preprints202506.2533.v1","addedAt":"2026-08-31T06:39:59.256Z","updatedAt":"2026-08-31T06:40:05.995Z"},{"id":"doi:10.22541/au.174077761.15855356/v1","name":"Field-Trained Neural Network-Based Angle-of-Arrival Estimation for Air-to-Ground Channel Measurements","source":"preprints","abstract":"","url":"https://doi.org/10.22541/au.174077761.15855356/v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.22541/au.174077761.15855356/v1","addedAt":"2026-08-31T06:39:59.256Z","updatedAt":"2026-08-31T06:40:05.995Z"},{"id":"doi:10.21203/rs.3.rs-6855593/v1","name":"Resource Allocation and Trajectory Optimization for NOMA-based and UAV-Assisted Satellite IoT","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-6855593/v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.21203/rs.3.rs-6855593/v1","addedAt":"2026-08-31T06:39:59.256Z","updatedAt":"2026-08-31T06:40:05.995Z"},{"id":"doi:10.21203/rs.3.rs-7160388/v1","name":"Long-Term Biomonitoring of Selenium and Arsenic Using Three Grass Species","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-7160388/v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.21203/rs.3.rs-7160388/v1","addedAt":"2026-08-31T06:39:59.256Z","updatedAt":"2026-08-31T06:40:05.995Z"},{"id":"doi:10.21203/rs.3.rs-6531764/v1","name":"GNLC-TCM: Integrated Global Navigation and Local Control with a Traffic Capacity Model for UAV Swarms in Constrained Environments","source":"europepmc","abstract":"Abstract The increasing demand for autonomous Unmanned Aerial Vehicle (UAV) operations in constrained environments such as indoor spaces, industrial facilities, and urban infrastructure has led to a growing interest in swarm-based navigation and coordination strategies. Navigating multiple UAVs through complex, limited-access environments presents significant challenges in collision avoidance, dynamic path planning, and airspace management. This study investigates a hybrid approach to UAV swarm navigation in restricted spaces by integrating global and local control mechanisms. The proposed architecture, termed GNLC-TCM (Global Navigation and Local Control with a Traffic Capacity Model), combines local reactive navigation using the Artificial Potential Field (APF) algorithm with a graph-based global planner. The global planner models the environment as an undirected graph, where nodes represent navigable waypoints, and edge weights are based on an introduced concept of the traffic capacity model. This model accounts for the expected UAV flow through each connection, enabling better distribution of agents and minimizing congestion. A simulation environment was developed using a basic multi-agent configuration within sample environments to evaluate the proposed system. Performance metrics for target reachability rate and adaptability to traffic distribution were observed. Preliminary results demonstrate the feasibility of the dual-layer architecture and its potential for managing UAV swarms in confined spaces. The paper concludes with a discussion on the observed system behaviour and proposes several directions for future research, including dynamic re-weighting strategies and hardware implementation in real UAV platforms.","url":"https://doi.org/10.21203/rs.3.rs-6531764/v1","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.21203/rs.3.rs-6531764/v1","addedAt":"2026-08-31T06:39:59.256Z","updatedAt":"2026-08-31T06:40:08.031Z"},{"id":"doi:10.22541/au.174662942.21733721/v1","name":"Evaluating Acoustic Navigation and Guidance System (ANGuS) for Autonomous Vehicle Indoor Navigation","source":"preprints","abstract":"","url":"https://doi.org/10.22541/au.174662942.21733721/v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.22541/au.174662942.21733721/v1","addedAt":"2026-08-31T06:39:59.256Z","updatedAt":"2026-08-31T06:40:05.995Z"},{"id":"doi:10.21203/rs.3.rs-7030704/v1","name":"Automated Weed Segmentation: A Knowledge- Based Approach to Support Machine Learning Training","source":"preprints","abstract":"Abstract Accurate landscape feature classification is a critical component of precision agriculture, enabling targeted on-farm management practices such as weed control and variable rate applications. Machine and deep learning models, including Convolutional Neural Networks (CNNs) and Random Forests (RF), have shown promise for real-time applications like weed detection. However, a major bottleneck remains: the generation of large, representative labeled datasets required to train these models, especially deep learning algorithms, is both time-consuming and labor-intensive. This study presents and evaluates an automated feature-labeling workflow developed using eCognition software (version 9.5) for Unmanned Aerial Vehicle (UAV). The workflow was tested on a ~ 2000 m² research field at the University of Saskatchewan, Canada, using high-resolution UAV imagery (0.88 mm spatial resolution). The field included strips of kochia, wild oat, wild mustard, and false cleavers seeded between wheat rows (30.5 cm spacing). The workflow integrated a series of spatial algorithms - including image segmentation, line detection, distance mapping, convolution filtering, morphological filters, local extrema detection, and image thresholding. Key inputs included the Color Index of Vegetation and Excess Green Index, which were effective in distinguishing green vegetation (crops and weeds) from the soil background. Using randomly distributed labeling points and a confusion matrix for accuracy assessment, the workflow achieved an overall accuracy of 87% (kappa = 0.81), even under a scenario without manually provided training samples. The automated workflow presented in this paper offers the potential for automated image labeling or sample collection for image classification in the domains of machine or deep learning. The workflow would greatly decrease the time and labour resources needed to collect such extensive labels for model training and validation. Future work should aim to enhance the workflow towards the generalization of the algorithms’ parameters and for use with multiple date/field imagery, thus ensuring the transferability of the workflow to other agronomic experiments.","url":"https://doi.org/10.21203/rs.3.rs-7030704/v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.21203/rs.3.rs-7030704/v1","addedAt":"2026-08-31T06:39:59.256Z","updatedAt":"2026-08-31T06:40:05.995Z"},{"id":"doi:10.20944/preprints202507.1095.v1","name":"Improved YOLOv8-Segmentation Model for the Detection of Moko and Black Sigatoka Diseases in Banana Crops with UAV Imagery","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202507.1095.v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.20944/preprints202507.1095.v1","addedAt":"2026-08-31T06:39:59.256Z","updatedAt":"2026-08-31T06:40:05.995Z"},{"id":"doi:10.20944/preprints202505.0460.v1","name":"Indeterminacy of Camera Intrinsic Parameters in Structure from Motion Using Images from Constant-Pitch Flight Design","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202505.0460.v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.20944/preprints202505.0460.v1","addedAt":"2026-08-31T06:39:59.256Z","updatedAt":"2026-08-31T06:40:05.995Z"},{"id":"doi:10.22541/au.174905423.33977348/v2","name":"Autonomous UAV-Based Mortar Round Deployment with Real-Time Ballistic Correction","source":"preprints","abstract":"","url":"https://doi.org/10.22541/au.174905423.33977348/v2","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.22541/au.174905423.33977348/v2","addedAt":"2026-08-31T06:39:59.256Z","updatedAt":"2026-08-31T06:40:05.995Z"},{"id":"doi:10.20944/preprints202504.1240.v1","name":"CF-mMIMO-Based Computational Offloading for UAVs Swarm: System Design and Experimental Results","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202504.1240.v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.20944/preprints202504.1240.v1","addedAt":"2026-08-31T06:39:59.256Z","updatedAt":"2026-08-31T06:40:08.031Z"},{"id":"doi:10.20944/preprints202506.0960.v1","name":"Enhancing the Scale Adaptation of Global Tracker for Infrared UAV Tracking","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202506.0960.v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.20944/preprints202506.0960.v1","addedAt":"2026-08-31T06:39:59.256Z","updatedAt":"2026-08-31T06:40:05.995Z"},{"id":"doi:10.20944/preprints202506.1371.v1","name":"Variable Rate Nitrogen Application in Wheat Based on UAV Derived Fertilizer Maps and Precision Agriculture Technologies","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202506.1371.v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.20944/preprints202506.1371.v1","addedAt":"2026-08-31T06:39:59.256Z","updatedAt":"2026-08-31T06:40:05.995Z"},{"id":"doi:10.20944/preprints202505.2120.v1","name":"Using UAVs to Monitor the Evolution of Restored Coastal Dunes","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202505.2120.v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.20944/preprints202505.2120.v1","addedAt":"2026-08-31T06:39:59.256Z","updatedAt":"2026-08-31T06:40:05.995Z"},{"id":"doi:10.20944/preprints202506.1002.v1","name":"A Bi-Layer Collaborative Planning Framework for Multi-UAV Delivery Tasks in Multi-Depot Urban Logistics","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202506.1002.v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.20944/preprints202506.1002.v1","addedAt":"2026-08-31T06:39:59.256Z","updatedAt":"2026-08-31T06:40:08.031Z"},{"id":"doi:10.20944/preprints202501.2285.v1","name":"Smart Farming Technologies for Sustainable Agriculture: A Case Study of a Mediterranean Aromatic Farm","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202501.2285.v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.20944/preprints202501.2285.v1","addedAt":"2026-08-31T06:39:59.256Z","updatedAt":"2026-08-31T06:40:05.995Z"},{"id":"doi:10.20944/preprints202504.1563.v1","name":"Closing the Domain Gap: Can Pseudo-Labels from Synthetic UAV Data Enable Real-World Flood Segmentation?","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202504.1563.v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.20944/preprints202504.1563.v1","addedAt":"2026-08-31T06:39:59.256Z","updatedAt":"2026-08-31T06:40:05.995Z"},{"id":"doi:10.1101/2025.05.21.655416","name":"LeafyResNet: Fusarium Wilt Detection in Lettuce Using UAV RGB Imaging and Advanced Deep Learning Model","source":"preprints","abstract":"ABSTRACT Lettuce, one of the most consumed leafy greens globally, offers significant health benefits due to its high vitamin, mineral, and fiber content. However, Fusarium wilt, a soil-borne fungus, threatens lettuce yields by reducing both quality and quantity. Traditional disease detection methods, such as manual inspection, are time-consuming and inefficient. This study proposes a Unmanned Aerial Vehicle (UAV)-based approach for detecting Fusarium wilt in lettuce using high-resolution Red-Green-Blue (RGB) imagery. (1) a high resolution RGB lettuce dataset captured by drones at approximately 10 m altitude in collaboration with the Yuma Center of Excellence for Desert Agriculture, (2) identification of candidate Fusarium-infected regions by evaluating 300×300 pixel image patches for light tan coloration, followed by the application of a customized Residual Neural Network (ResNet), called LeafyResNet, to confirm Fusarium presence, and (3) a method for quantifying Fusarium infection severity, which was validated against an expert-ground truth. Our approach to detect Fusarium wilt achieves 96.30% accuracy, 94.10% precision, 100% recall, and a 97.10% F1-score, with a 4% false positive rate. Disease severity scores showed an overall accuracy of 86%. We compared the model to state-of-the-art models, including two variants of ResNet (ResNet18 and ResNet34), Inception_v3, and VGG16. LeafyResNet showed superior results compared to available standard models, highlighting the potential of customizing models for agricultural applications. LeafyResNet provides an efficient and scalable solution for Fusarium wilt monitoring for lettuce crops to advance precision agriculture.","url":"https://doi.org/10.1101/2025.05.21.655416","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.1101/2025.05.21.655416","addedAt":"2026-08-31T06:39:59.256Z","updatedAt":"2026-08-31T06:40:05.995Z"},{"id":"doi:10.21203/rs.3.rs-6460097/v1","name":"An Overview of Calculation Analyses and Tests of the Sw-4 Solo Helicopter in Various Configurations","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-6460097/v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.21203/rs.3.rs-6460097/v1","addedAt":"2026-08-31T06:39:59.256Z","updatedAt":"2026-08-31T06:40:05.995Z"},{"id":"doi:10.21203/rs.3.rs-5796771/v1","name":"Intelligent Extraction of Urban Ventilation Corridors Based on Region Growth Algorithm with Restricted Direction","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-5796771/v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.21203/rs.3.rs-5796771/v1","addedAt":"2026-08-31T06:39:59.256Z","updatedAt":"2026-08-31T06:40:05.995Z"},{"id":"doi:10.21203/rs.3.rs-5090830/v1","name":"Carrier Platform-enhanced Multiple-UAV Cooperative Task Assignment with Dual Heterogeneities","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-5090830/v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.21203/rs.3.rs-5090830/v1","addedAt":"2026-08-31T06:39:59.256Z","updatedAt":"2026-08-31T06:40:05.995Z"},{"id":"doi:10.20944/preprints202504.0715.v1","name":"Rapid Prediction of High-Resolution 3D Ship Airwake in the Glide Path Based on CFD, BP Neural Network, and DWL","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202504.0715.v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.20944/preprints202504.0715.v1","addedAt":"2026-08-31T06:39:59.256Z","updatedAt":"2026-08-31T06:40:05.995Z"},{"id":"doi:10.21203/rs.3.rs-6207783/v1","name":"A Crack detection and Quantification Method Using Match Filter and Photograph Reconstruction","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-6207783/v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.21203/rs.3.rs-6207783/v1","addedAt":"2026-08-31T06:39:59.256Z","updatedAt":"2026-08-31T06:40:05.995Z"},{"id":"doi:10.21203/rs.3.rs-5508995/v1","name":"Bio-inspired Motion Detection Models for Improved Uav and Bird Differentiation: a Novel Deep Learning Framework","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-5508995/v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.21203/rs.3.rs-5508995/v1","addedAt":"2026-08-31T06:39:59.256Z","updatedAt":"2026-08-31T06:40:05.995Z"},{"id":"doi:10.20944/preprints202503.1391.v1","name":"Advancing Early Wildfire Detection: Integration of Vision Language Models with UAV Remote Sensing for Enhanced Situational Awareness","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202503.1391.v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.20944/preprints202503.1391.v1","addedAt":"2026-08-31T06:39:59.256Z","updatedAt":"2026-08-31T06:40:05.995Z"},{"id":"doi:10.20944/preprints202501.1105.v1","name":"Dynamic Camera Planning for Robot-Integrated Manufacturing Processes Using an UAV","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202501.1105.v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.20944/preprints202501.1105.v1","addedAt":"2026-08-31T06:39:59.256Z","updatedAt":"2026-08-31T06:40:05.995Z"},{"id":"doi:10.21203/rs.3.rs-6356076/v1","name":"Modelling Evapotranspiration of Cannabis sativa L. using a UAV in the KwaZulu-Natal Midlands, South Africa.","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-6356076/v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.21203/rs.3.rs-6356076/v1","addedAt":"2026-08-31T06:39:59.256Z","updatedAt":"2026-08-31T06:40:05.995Z"},{"id":"doi:10.21203/rs.3.rs-6186596/v1","name":"Geospatial Analysis of Soil Property Variability in Cyclone-Affected Areas of southern Malawi","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-6186596/v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.21203/rs.3.rs-6186596/v1","addedAt":"2026-08-31T06:39:59.256Z","updatedAt":"2026-08-31T06:40:05.995Z"},{"id":"doi:10.20944/preprints202503.0143.v1","name":"Optimizing UAV LiDAR Data Collection in Cotton Through Flight Settings and Data Processing Best Practices","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202503.0143.v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.20944/preprints202503.0143.v1","addedAt":"2026-08-31T06:39:59.256Z","updatedAt":"2026-08-31T06:40:05.995Z"},{"id":"doi:10.21203/rs.3.rs-5767642/v1","name":"Detecting Weligama Coconut Leaf Wilt Disease in Coconut Using UAV-Based Multispectral Imaging and Object-Based Classification","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-5767642/v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.21203/rs.3.rs-5767642/v1","addedAt":"2026-08-31T06:39:59.256Z","updatedAt":"2026-08-31T06:40:05.995Z"},{"id":"doi:10.21203/rs.3.rs-5825357/v1","name":"Exponential-trigonometric Optimization Algorithm with Multi-Strategy Fusion for UAV three-dimensional path planning","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-5825357/v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.21203/rs.3.rs-5825357/v1","addedAt":"2026-08-31T06:39:59.256Z","updatedAt":"2026-08-31T06:40:05.995Z"},{"id":"doi:10.21203/rs.3.rs-5753790/v1","name":"Optimized MPR Selection in OLSR routing protocol for UAV Communications in Public Safety applications","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-5753790/v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.21203/rs.3.rs-5753790/v1","addedAt":"2026-08-31T06:39:59.256Z","updatedAt":"2026-08-31T06:40:05.995Z"},{"id":"doi:10.20944/preprints202502.0121.v1","name":"Assessing UAVs Equipped with Thermal Camera as a Novel Tool for Studying Habitat Related Behaviour of Mesopredators","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202502.0121.v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.20944/preprints202502.0121.v1","addedAt":"2026-08-31T06:39:59.256Z","updatedAt":"2026-08-31T06:40:05.995Z"},{"id":"doi:10.20944/preprints202501.1714.v1","name":"Modeling of Groundwater Potential Zones in Semi-Arid Areas Using UAV, GIS and Multi-Criteria Decision Making","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202501.1714.v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.20944/preprints202501.1714.v1","addedAt":"2026-08-31T06:39:59.256Z","updatedAt":"2026-08-31T06:40:05.995Z"},{"id":"doi:10.21203/rs.3.rs-5746682/v1","name":"FGM-Copula based Analysis of Physical Layer Security in Wireless Wiretap Channels with UAV Transmitter and Two-Sided Side Information","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-5746682/v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.21203/rs.3.rs-5746682/v1","addedAt":"2026-08-31T06:39:59.256Z","updatedAt":"2026-08-31T06:40:05.995Z"},{"id":"doi:10.21203/rs.3.rs-5789601/v1","name":"Cognitive Embodied Learning for Anomaly Active Target Tracking","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-5789601/v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.21203/rs.3.rs-5789601/v1","addedAt":"2026-08-31T06:39:59.256Z","updatedAt":"2026-08-31T06:40:05.995Z"},{"id":"doi:10.20944/preprints202501.0353.v1","name":"Real-Time and Post-Mission Heading Alignment for Drone Navigation Based on Single Antenna GNSS and MEMs-IMU Sensors","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202501.0353.v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.20944/preprints202501.0353.v1","addedAt":"2026-08-31T06:39:59.256Z","updatedAt":"2026-08-31T06:40:05.995Z"},{"id":"doi:10.1101/2025.02.17.638728","name":"Remote sensing reveals inter- and intraspecific variation in riparian cottonwood (  <i>Populus</i>  spp) response to drought","source":"preprints","abstract":"","url":"https://doi.org/10.1101/2025.02.17.638728","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.1101/2025.02.17.638728","addedAt":"2026-08-31T06:39:59.256Z","updatedAt":"2026-08-31T06:40:05.995Z"},{"id":"doi:10.52939/ijg.v21i11.4605","name":"Trends, Advancements, and Future Directions of Unmanned Aerial Vehicle Technology-Based Stockpile Volume Estimation: A Systematic Review","source":"crossref","abstract":"","url":"https://doi.org/10.52939/ijg.v21i11.4605","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-12-08T07:41:24Z","doi":"10.52939/ijg.v21i11.4605","addedAt":"2026-08-31T06:39:59.807Z","updatedAt":"2026-08-31T06:40:02.531Z"},{"id":"doi:10.7287/peerj.1831v0.2/reviews/2","name":"Peer Review #2 of \"Evaluation of unmanned aerial vehicle shape, flight path and camera type for waterfowl surveys: disturbance effects and species recognition (v0.2)\"","source":"crossref","abstract":"","url":"https://doi.org/10.7287/peerj.1831v0.2/reviews/2","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2018-01-10T01:49:51Z","doi":"10.7287/peerj.1831v0.2/reviews/2","addedAt":"2026-08-31T06:39:59.807Z","updatedAt":"2026-08-31T06:39:59.807Z"},{"id":"doi:10.3390/drones10050365","name":"Unmanned Aerial Vehicle Technologies, Applications, and Regulatory Frameworks: A Scoping Review","source":"crossref","abstract":"The rapid proliferation of unmanned aerial vehicles (UAVs) in civilian sectors has generated diverse research spanning platform engineering, application deployment, and regulatory governance. This scoping review systematically maps the current knowledge landscape of civilian UAVs, their applications, and their regulatory frameworks, and aims to serve as initial practical guidance for researchers and practitioners initiating drone-based projects. Following PRISMA-ScR guidelines, a structured three-stream literature search was conducted using Google Scholar, yielding 109 sources published between 2015 and 2025. This review synthesises findings across three domains: (1) technical specifications, including UAV platform configurations, their common applications, their advantages and limitations, electromechanical systems, flight control architectures, and communication technologies, while also providing key guidance on how to choose the appropriate components for a given application; (2) civil applications across eight sectors—delivery logistics, infrastructure inspection, precision agriculture, environmental monitoring, emergency response, waste management, and commercial uses—to provide inspiration as well as to capture important details on drone projects; and (3) regulatory frameworks and ethical considerations governing UAV operations. Analysis reveals concentrated research attention on autonomy and AI-driven control systems and emerging focus on communication infrastructure. Geographic representation is dominated by US, European, and Chinese contexts, with limited coverage of developing regions. Key knowledge gaps include economic feasibility analyses, standardisation frameworks, developing-world deployment contexts, and environmental lifecycle assessments. Contradictions emerge between optimistic application scalability claims and fundamental constraints in energy storage, swarm communication reliability, and privacy–efficiency trade-offs. This review provides researchers and practitioners with a comprehensive map of current UAV knowledge, identifies critical research gaps, and establishes a foundation for future research in civilian drone technologies. This study aims to systematically consolidate and synthesise fragmented research on civilian UAV technologies, applications, and regulatory frameworks into a unified reference for research and practice.","url":"https://doi.org/10.3390/drones10050365","authors":["Muhammad Mbarak","Mohd Hasanul Alam","Mohammed Awad"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-05-11T17:17:42Z","doi":"10.3390/drones10050365","addedAt":"2026-08-31T06:39:59.807Z","updatedAt":"2026-08-31T06:40:00.495Z"},{"id":"doi:10.7287/peerj.1831v0.1/reviews/3","name":"Peer Review #3 of \"Evaluation of unmanned aerial vehicle shape, flight path and camera type for waterfowl surveys: disturbance effects and species recognition (v0.1)\"","source":"crossref","abstract":"","url":"https://doi.org/10.7287/peerj.1831v0.1/reviews/3","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2018-01-10T01:48:07Z","doi":"10.7287/peerj.1831v0.1/reviews/3","addedAt":"2026-08-31T06:39:59.807Z","updatedAt":"2026-08-31T06:39:59.807Z"},{"id":"doi:10.3390/app10134504","name":"Unmanned Aerial Vehicle Routing Problems: A Literature Review","source":"crossref","abstract":"Unmanned aerial vehicle (UAV) routing is transitioning from an emerging topic to a growing research area as the 3D flexible utilization of airspace, promogulated by UAVs, is a potential game changer in solving the urban air mobility challenge by allowing to reshape transportation and logistics in the future. This has revealed a need to classify different types of research and examine the general characteristics of the research area. This research aims to assist in identifying the main topics and emerging research streams and provides a published overview of the current state and contributions to the area of the UAV routing problem (UAVRP) and a general categorization of the vehicle routing problem (VRP) followed by a UAVRP classification with a graphical taxonomy based on the analysis of UAVRP current status. To achieve this, an analysis of the existing research contributions promulgated in this domain is conducted. This analysis is used to identify the current state of UAVRP and the gaps related to the UAVs’ flight dynamics and weather conditions, which significantly influence the fuel consumption of the UAV when modeling the UAVRP.","url":"https://doi.org/10.3390/app10134504","authors":["Amila Thibbotuwawa","Grzegorz Bocewicz","Peter Nielsen","Zbigniew Banaszak"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2020-06-29T05:28:56Z","doi":"10.3390/app10134504","addedAt":"2026-08-31T06:39:59.807Z","updatedAt":"2026-08-31T06:39:59.807Z"},{"id":"doi:10.7287/peerj.1831v0.1/reviews/1","name":"Peer Review #1 of \"Evaluation of unmanned aerial vehicle shape, flight path and camera type for waterfowl surveys: disturbance effects and species recognition (v0.1)\"","source":"crossref","abstract":"","url":"https://doi.org/10.7287/peerj.1831v0.1/reviews/1","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2018-01-10T01:49:05Z","doi":"10.7287/peerj.1831v0.1/reviews/1","addedAt":"2026-08-31T06:39:59.807Z","updatedAt":"2026-08-31T06:39:59.807Z"},{"id":"doi:10.7287/peerj.14219v0.1/reviews/3","name":"Peer Review #3 of \"Automated mapping of Portulacaria afra canopies for restoration monitoring with convolutional neural networks and heterogeneous unmanned aerial vehicle imagery (v0.1)\"","source":"crossref","abstract":"","url":"https://doi.org/10.7287/peerj.14219v0.1/reviews/3","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2022-10-19T02:32:06Z","doi":"10.7287/peerj.14219v0.1/reviews/3","addedAt":"2026-08-31T06:39:59.807Z","updatedAt":"2026-08-31T06:39:59.807Z"},{"id":"doi:10.7287/peerj.1831v0.2/reviews/1","name":"Peer Review #1 of \"Evaluation of unmanned aerial vehicle shape, flight path and camera type for waterfowl surveys: disturbance effects and species recognition (v0.2)\"","source":"crossref","abstract":"","url":"https://doi.org/10.7287/peerj.1831v0.2/reviews/1","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2018-01-10T01:49:32Z","doi":"10.7287/peerj.1831v0.2/reviews/1","addedAt":"2026-08-31T06:39:59.807Z","updatedAt":"2026-08-31T06:39:59.807Z"},{"id":"doi:10.7287/peerj.1831v0.1/reviews/2","name":"Peer Review #2 of \"Evaluation of unmanned aerial vehicle shape, flight path and camera type for waterfowl surveys: disturbance effects and species recognition (v0.1)\"","source":"crossref","abstract":"","url":"https://doi.org/10.7287/peerj.1831v0.1/reviews/2","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2018-01-10T01:48:30Z","doi":"10.7287/peerj.1831v0.1/reviews/2","addedAt":"2026-08-31T06:39:59.807Z","updatedAt":"2026-08-31T06:39:59.807Z"},{"id":"doi:10.15199/48.2023.08.23","name":"Visual Simultaneous Localization and Mapping Using DirectBased Method for Unmanned Aerial Vehicle (UAV)","source":"crossref","abstract":"","url":"https://doi.org/10.15199/48.2023.08.23","authors":["M. BADZLI"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-02-19T08:48:07Z","doi":"10.15199/48.2023.08.23","addedAt":"2026-08-31T06:39:59.807Z","updatedAt":"2026-08-31T06:39:59.807Z"},{"id":"doi:10.31219/osf.io/fmgtw","name":"Applications of Internet of Things and Unmanned Aerial Vehicle in Smart Agriculture: A Review","source":"crossref","abstract":"With the rapid advancement of technology and decline in human ability, technology has become a part of every aspect of our lives. Agriculture and irrigation are two domains in which man's potential may be exploited to its fullest. To commercialise in the industry, a variety of sensors and electronics devices are employed to keep prices down in a few domains. In order to save money and enhance the abilities of agricultural experts, UAVs (unmanned aerial vehicles) can be used for reconnaissance, pesticide and insecticide application, and bioprocessing mistake detection. When it comes to this application, both single-mode and multi-mode UAV systems will work just fine. On the other hand, this chapter identifies the challenges and limitations of IoT and UAVs connection in remote locations, demonstrating several use cases of smart agriculture and the advantages and applications of using IoT and UAVs in agriculture.","url":"https://doi.org/10.31219/osf.io/fmgtw","authors":["Caprio Mistry","Ahona Ghosh","Mousumi Biswas","Bikalpa Bagui","Arighna Basak"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2022-01-06T04:42:04Z","doi":"10.31219/osf.io/fmgtw","addedAt":"2026-08-31T06:39:59.807Z","updatedAt":"2026-08-31T06:39:59.807Z"},{"id":"doi:10.21439/jme.v2i2.26","name":"Computer vision systems in unmanned aerial vehicle: a review","source":"crossref","abstract":"Inspections in areas of difficult access or hostile to the human, pattern recognition, surveillance and monitoring, are some of the many applications in with Unmanned Aerial Vehicles (UAV), can be a solution, opening up new perspectives for the use of this technology. The navigation and the position of the UAVs can be made by autonomous method through the computational vision, which is a technology of construction of artificial systems capable of read information from images or any multidimensional data and making decisions. This work presents a review of the use of computer vision systems by UAVs, with a focus on its many applications. The main objective is to analyze the latest technologies used for the development of computer vision in UAVs, through the tools of data search, information storage and, mainly, processing and analysis of data. The researches encompasses a publication of recent works, 2011 onwards, from the Science Direct portal. For each work were analyzed the objectives, methodology and results. Based in this analysis, was made a comparison between the techniques and their challenges. From this, future outlook scenarios of UAVs using computational vision are mentioned.","url":"https://doi.org/10.21439/jme.v2i2.26","authors":["Odilon Linhares Carvalho Mendes","Giovanna Miceli Ronzani Borille"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2019-07-30T20:59:20Z","doi":"10.21439/jme.v2i2.26","addedAt":"2026-08-31T06:39:59.808Z","updatedAt":"2026-08-31T06:39:59.808Z"},{"id":"doi:10.1016/j.comcom.2020.06.011","name":"MAC protocols for unmanned aerial vehicle ecosystems: Review and challenges","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.comcom.2020.06.011","authors":["Sahil Vashisht","Sushma Jain","Gagangeet Singh Aujla"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2020-06-22T22:31:42Z","doi":"10.1016/j.comcom.2020.06.011","addedAt":"2026-08-31T06:39:59.808Z","updatedAt":"2026-08-31T06:39:59.808Z"},{"id":"doi:10.21203/rs.3.rs-2888431/v3","name":"RETRACTED: Optimization of unmanned aerial vehicle application for measuring in complex urban green space","source":"crossref","abstract":"Abstract The authors have requested that this preprint be removed from Research Square.","url":"https://doi.org/10.21203/rs.3.rs-2888431/v3","authors":["Rongye Jin","Jinyi Huang","Xudong Wang","Jiayi Jiang","Xiangdong Xiao","Yanjie Xu"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-10-24T17:19:53Z","doi":"10.21203/rs.3.rs-2888431/v3","addedAt":"2026-08-31T06:39:59.808Z","updatedAt":"2026-08-31T06:39:59.808Z"},{"id":"doi:10.54254/2755-2721/10/20230141","name":"Review of unmanned aerial vehicle obstacle avoidance  planning based on artificial potential field","source":"crossref","abstract":"With the development and widely use of unmanned aerial vehicles (UAVs) in recent years, the development of efficient path planning methods for automation has become crucial. Obstacle avoidance and path planning are the key components of UAV path planning. This article provides an overview of obstacle avoidance and path planning techniques for UAVs based on the artificial potential field method (APF method). This article begins with the explaining the principles of artificial potential field on this basis discusses its advantages and limitations. The article then summarizes the improvement strategies proposed by previous researchers to address issues like local minimum values and unreachable targets, such as introducing a new repulsive potential energy function, combining APF with other planning methods, and utilizing flow functions. Furthermore, it presents examples of the application and the performance of usage of these techniques in both static and dynamic environments. Based on this, the prospects and developing trend of UAV obstacle avoidance methods based on artificial potential field are foresee, such as combined with DRL and deep learning.","url":"https://doi.org/10.54254/2755-2721/10/20230141","authors":["Hanyu Xing"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-09-22T05:57:12Z","doi":"10.54254/2755-2721/10/20230141","addedAt":"2026-08-31T06:39:59.808Z","updatedAt":"2026-08-31T06:39:59.808Z"},{"id":"doi:10.3390/standards3020009","name":"A Review of Unmanned Aerial Vehicle Applications in Construction Management: 2016–2021","source":"crossref","abstract":"With the rapid advancement of Unmanned Aerial Vehicle (UAV) technologies in recent years, their uses have been increasingly adopted in the architecture, engineering, and construction industries. To satisfy the needs of various types of construction projects, a considerable amount of research work has been performed to implement and refine the operations, safety, and accuracy of UAVs. This paper presents the findings of a comprehensive literature review that focuses on UAV research in construction management during the timeframe of 2016 to 2021. A total of 95 papers were identified and collected from a list of 21 relevant journals and conference proceedings, and were then categorized by their research topic, sensor types, and targeted structures. The results of 47 exemplary studies were reported in two categories, namely UAV uses and construction uses. The research topics identified for UAV uses include algorithm, applications, operations, framework, and training, while research topics identified for construction use include inspection, surveying, safety, and monitoring. The connection between the research topics, sensor types, targeted structures, and other advanced technologies were also discussed. This paper summarizes the current results of UAV research in construction management, reviews the methodology, benefits, and limitations of the reviewed literature, and provides valuable knowledge for the future trend of UAV applications in the civil, infrastructure, and construction industries.","url":"https://doi.org/10.3390/standards3020009","authors":["Andres Acero Molina","Yilei Huang","Yuhan Jiang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-04-03T03:32:59Z","doi":"10.3390/standards3020009","addedAt":"2026-08-31T06:39:59.808Z","updatedAt":"2026-08-31T06:39:59.808Z"},{"id":"doi:10.54254/2755-2721/2026.tj31062","name":"A Review of Unmanned Aerial Vehicle Control Technology: Methods, Applications and Development Trends","source":"crossref","abstract":"The basic technology that has seen great advancement in the last decade for enabling the functioning of unmanned aerial vehicles (UAVs) is the UAV control systems. However, more complex mission requirements have revealed vulnerabilities related to complex flight environments, dynamic missions as well as the intrinsic nonlinearity and uncertainty of contemporary UAV control systems. Major research contributions and trends that have evolved over the past decade in UAV control are reviewed here. We first briefly, yet comprehensively, enumerate and describe core algorithms which include PID, LQR, sliding mode control, feedback linearization, robust control along with a wide range of intelligent and adaptive controls. This will be followed by an in-depth discussion comparing theoretical principles, their performance as well as applicable scenarios and challenges concerning effectivity of diverse controlling strategies under simulation versus real flight situations. Finally, we will identify key technical drawbacks and propose future research priorities and development trends, aiming to provide a clear and comprehensive reference.","url":"https://doi.org/10.54254/2755-2721/2026.tj31062","authors":["Peiwen Yang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-12-31T07:29:53Z","doi":"10.54254/2755-2721/2026.tj31062","addedAt":"2026-08-31T06:39:59.808Z","updatedAt":"2026-08-31T06:40:05.993Z"},{"id":"doi:10.17816/hmj704749","name":"Methods for early identification of unmanned aerial vehicle pilot potential: a systematic review","source":"crossref","abstract":"The rapid development of unmanned aviation and the increasing demand for skilled unmanned aerial vehicle operators require a revision of existing approaches to professional psychophysiologic selection. The conventional methods used to select pilots for manned aircraft are only partially fit to the specific requirements to unmanned aircraft operators. This affects both the learning outcomes and the effect of further professional training. The profession of an unmanned aerial vehicle operator involves indirect control, the need to simultaneously analyze multiple information flows, and operate under high cognitive load. Thus, span and distribution of attention, spatial thinking, speed of sensorimotor reactions, the ability to make decisions in an uncertain situation, emotional stability, and stress resistance are of particular importance. An analysis of contemporary research shows that the comprehensive method is the most promising selection approach, combining cognitive testing, personality testing, psychophysiologic assessment, including heart rate variability, and simulation technologies. Early identification of candidates who are potentially capable of successfully mastering the operator profession, as early as at the pre-university training stages, is particularly useful. The review is aimed to arrange contemporary scientific approaches to the occupational fitness testing of unmanned aerial vehicle operators and to substantiate the structure of the integrative early selection method. The paper proposes a multi-factor assessment model based on cognitive, personal, and psychophysiological traits important for operators. The findings allow to increase the accuracy of predicting training success, reducing attrition, and developing an evidence-based system for selecting and training unmanned aviation professionals.","url":"https://doi.org/10.17816/hmj704749","authors":["Rodion V. Rudenko"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-04-15T16:25:26Z","doi":"10.17816/hmj704749","addedAt":"2026-08-31T06:39:59.808Z","updatedAt":"2026-08-31T06:40:00.495Z"},{"id":"doi:10.1017/s0269888916000291","name":"A constraint-based approach for planning unmanned aerial vehicle activities","source":"crossref","abstract":"Abstract Unmanned Aerial Vehicles (UAV) represent a major advantage in defense, disaster relief and first responder applications. UAV may provide valuable information on the environment if their Command and Control (C2) is shared by different operators. In a C2 networking system, any operator may request and use the UAV to perform a remote sensing operation. These requests have to be scheduled in time and a consistent navigation plan must be defined for the UAV. Moreover, maximizing UAV utilization is a key challenge for user acceptance and operational efficiency. The global planning problem is constrained by the environment, targets to observe, user availability, mission duration and on-board resources. This problem follows previous research works on automatic mission Planning &amp; Scheduling for defense applications. The paper presents a full constraint-based approach to simultaneously satisfy observation requests, and resolve navigation plans.","url":"https://doi.org/10.1017/s0269888916000291","authors":["Christophe Guettier","François Lucas"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2017-02-22T09:28:08Z","doi":"10.1017/s0269888916000291","addedAt":"2026-08-31T06:39:59.808Z","updatedAt":"2026-08-31T06:39:59.808Z"},{"id":"doi:10.1109/icaset.2019.8714531","name":"Review on System Identification for Quadrotor Unmanned Aerial Vehicle (UAV)","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icaset.2019.8714531","authors":["Ari Legowo","Erwin Sulaeman","Danial Rosli"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2019-05-16T21:24:17Z","doi":"10.1109/icaset.2019.8714531","addedAt":"2026-08-31T06:39:59.808Z","updatedAt":"2026-08-31T06:39:59.808Z"},{"id":"doi:10.37934/araset.32.3.139150","name":"Review on Patch Antennas for Unmanned Aerial Vehicle Application","source":"crossref","abstract":"The wide-ranging Unmanned Aerial Vehicle (UAV) applications making them be one of the Internet of Things promising technologies. The vast potential of monitoring and surveillance for public safety threats using drones be a current issue for researchers. Antennas play an important part in UAV to create reliable communication links. There are different types of antennas that can be used for UAV application depend on antennas size, efficiency, gain, angle of radiation pattern, polarization, etc. This paper mainly focuses on patch antennas for UAV applications. In general, there are two types of patch antenna is described which are single patch antenna and array antenna. The review of patch antennas can be a useful guideline to choose or design antenna for UAV applications in the future.","url":"https://doi.org/10.37934/araset.32.3.139150","authors":["Nur Hidayah Ramli"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-10-17T05:11:46Z","doi":"10.37934/araset.32.3.139150","addedAt":"2026-08-31T06:39:59.808Z","updatedAt":"2026-08-31T06:39:59.808Z"},{"id":"doi:10.24886/blr.2018.12.32.4.169","name":"Legal Liability and Insurance System for Unmanned Aerial Vehicle","source":"crossref","abstract":"","url":"https://doi.org/10.24886/blr.2018.12.32.4.169","authors":["Ju-Pyo Kim"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2019-03-13T04:12:07Z","doi":"10.24886/blr.2018.12.32.4.169","addedAt":"2026-08-31T06:39:59.808Z","updatedAt":"2026-08-31T06:39:59.808Z"},{"id":"doi:10.26706/jpie.2.2.20211206","name":"UAV (Unmanned Aerial Vehicle) for Agriculture Application- A State-of-the-Art Review","source":"crossref","abstract":"","url":"https://doi.org/10.26706/jpie.2.2.20211206","authors":["Sagar P. Kadu","Pranaj Sambhaji Patil"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2022-03-08T09:26:36Z","doi":"10.26706/jpie.2.2.20211206","addedAt":"2026-08-31T06:39:59.808Z","updatedAt":"2026-08-31T06:39:59.808Z"},{"id":"doi:10.26021/1433","name":"Lift &amp; drag analysis of a 3D synthetic dragonfly wing","source":"datacite","abstract":"A 3D dragonfly wing is developed by using the Autodesk point cloud methodology, which takes several high definition (HD) pictures of the wing and uploads them into the software which computes all the spatial points and to give a rough matrix of the external structure. The structure is further modified by using Mesh mixer and printed in 3D of Acrylonitrile butadiene styrene (ABS) material. Initially a bending and torsion stiffness test is carried out by cantilevering the wing onto a U shaped frame, where the increasing weights are suspended on the wing tip end to calculate the deflection upon loading at different room temperatures. Keeping the Reynolds and Strouhal numbers constant, a flapping mechanism is de-signed consisting of two smart servo motors connected to the wing root with a fix-tures designed to give the wing four axis degrees of freedom (DOF) maintaining the centre line axis. The servos are programmed by using Arduino Nano board and the whole mechanism is fixed onto two load cells on an apparatus which is connected to a LabView® programme for collecting the data. The data from the load cells is taken and investigated in MatLab® by using Fourier analysis. The maximum deflection of the wing tip as per the literature review is in the range of 3-12 mm depending on the loads acting on the wing during flight. For this thesis the average deflection of the wing tip during the experiment upon applied loading is to be about 3-10 mm. It varies with the forces acting on it and also expected to change for another sample of the model wing which can be produced using flexible PVC which has different properties. These deflection values are used to determine the amount of force acting on the wing tip during the bottom end of the flap cycle. The torsional deflection of the wing during flight was assumed to be 20 degrees. Where as in the torsional stiffness experiment it is more than 10 degrees for the ABS structure. The values obtained during the experiment is lower compared to the value from the previous literature due to the rigidity of the material. It varies with the forces acting on it and also expected to change for another sample of the model wing which can be produced using flexible PVC which has different properties. The flapping experiment is carried out for various flapping and torsional angles us-ing a flapping test rig. The data is studied for the extraction of the forces acting on the wing and is assumed to give more information on the stable and unstable aer-odynamics of the dragonfly wing. It is observed that when the phase difference is changed from 0° to 270° the lift generated value is raised from 0.4N to 0.6N. 𝐶𝐿-max is determined as 0.55 and is maximum when the phase difference between the flapping angle, torsion angle is maintained as 270°. It is reducing for lower phase differences of 90° and 0°. For two consecutive experiments with a 180° phase difference 𝐶𝐿-max is remaining constant at flapping angle of 60°,90° while frequency and torsion angle are maintained constant. The CD is observed to be consistently low and reaching maximum of 0.125 within the experiments. This research values can be used as a source for developing a flapping unmanned aerial vehicle (UAV).","url":"https://doi.org/10.26021/1433","authors":["Dhandu, Srujan Raj"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2016","doi":"10.26021/1433","addedAt":"2026-08-31T06:39:59.809Z","updatedAt":"2026-08-31T06:39:59.809Z"},{"id":"doi:10.26021/1337","name":"Modelling and Model Based Control Design For Rotorcraft Unmanned Aerial Vehicle","source":"datacite","abstract":"Designing high performance control of rotorcraft unmanned aerial vehicle (UAV) requires a mathematical model that describes the dynamics of the vehicle. The model is derived from first principle modelling, such as rigid-body dynamics, actuator dynamics and etc. It is found that simplified decoupled model of RUAV has slightly better data fitting compared with the complex model for helicopter attitude dynamics in hover or near hover flight condition. In addition, the simplified modelling approach has made the analysis of system dynamics easy. System identification method is applied to identify the unknown intrinsic parameters in the nominal model, where manual piloted flight experiment is carried out and input-output data about a nominal operating region is recorded for parameters identification process. Integral-based parameter identification algorithm is then used to identify model parameters that give the best matching between the simulation and measured output response. The results obtained show that the dominant dynamics is captured. The advantages of using integral-based method include the fast computation time, insensitive to initial parameter value and fast convergence rate in comparison with other contemporary system identification methods such as prediction error method (PEM), maximum likelihood method, equation error method and output error method. Besides, the integral-based parameter identification method can be readily extended to tackle slow time-varying model parameters and fast varying disturbances. The model prediction is found to be improved significantly when the iterative integral-based parameter identification is employed and thus further validates the minimal modelling approach. From the literature review, many control schemes have been designed and validated in simulation. However, few of them has really been implemented in real flight as well as under windy and severe conditions, where unpredictable large system parameters variations and unexpected disturbances are present. Therefore, the emphasis on this part will be on the control design that would have satisfactory reference sequence tracking or regulation capability in the presence of unmodelled dynamics and external disturbances. Generalised Predictive Controller (GPC) is particularly considered as the helicopter attitude dynamics control due to its insensitivity with respect to model mismatch and its capability to address the control problem of nominal model with deadtime. The robustness analysis shows that the robustness of the basic GPC is significantly improved using the Smith Predictor (SP) in place of optimal predictor in basic GPC. The effectiveness of the proposed robust GPC was well proven with the control of helicopter heading on the test rig in terms of the reference sequence tracking performance and the input disturbance rejection capability. The second motivation is the investigation of adaptive GPC from the perspective of performance improvements for the robust GPC. The promising experimental results prove the feasibility of the adaptive GPC controller, and especially evident when the underlying robust GPC is tuned with low robustness and legitimates the use of simplified model. Another approach of robust model predictive control is considered where disturbance is identified in real‐time using an iterative integral‐based method.","url":"https://doi.org/10.26021/1337","authors":["Choi, Rejina Ling Wei"],"tags":["Modelling","System identification","Integral-based parameter identification","model predictive control"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2014","doi":"10.26021/1337","addedAt":"2026-08-31T06:39:59.809Z","updatedAt":"2026-08-31T06:39:59.809Z"},{"id":"doi:10.48550/arxiv.2506.05378","name":"A Compendium of Autonomous Navigation using Object Detection and Tracking in Unmanned Aerial Vehicles","source":"datacite","abstract":"Unmanned Aerial Vehicles (UAVs) are one of the most revolutionary inventions of 21st century. At the core of a UAV lies the central processing system that uses wireless signals to control their movement. The most popular UAVs are quadcopters that use a set of four motors, arranged as two on either side with opposite spin. An autonomous UAV is called a drone. Drones have been in service in the US army since the 90's for covert missions critical to national security. It would not be wrong to claim that drones make up an integral part of the national security and provide the most valuable service during surveillance operations. While UAVs are controlled using wireless signals, there reside some challenges that disrupt the operation of such vehicles such as signal quality and range, real time processing, human expertise, robust hardware and data security. These challenges can be solved by programming UAVs to be autonomous, using object detection and tracking, through Computer Vision algorithms. Computer Vision is an interdisciplinary field that seeks the use of deep learning to gain a high-level understanding of digital images and videos for the purpose of automating the task of human visual system. Using computer vision, algorithms for detecting and tracking various objects can be developed suitable to the hardware so as to allow real time processing for immediate judgement. This paper attempts to review the various approaches several authors have proposed for the purpose of autonomous navigation of UAVs by through various algorithms of object detection and tracking in real time, for the purpose of applications in various fields such as disaster management, dense area exploration, traffic vehicle surveillance etc.","url":"https://doi.org/10.48550/arxiv.2506.05378","authors":["Arora, Mohit","Shukla, Pratyush","Chopra, Shivali"],"tags":["Computer Vision and Pattern Recognition (cs.CV)","Robotics (cs.RO)","Image and Video Processing (eess.IV)","FOS: Computer and information sciences","FOS: Computer and information sciences","FOS: Electrical engineering, electronic engineering, information engineering","FOS: Electrical engineering, electronic engineering, information engineering"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.48550/arxiv.2506.05378","addedAt":"2026-08-31T06:39:59.809Z","updatedAt":"2026-08-31T06:39:59.809Z"},{"id":"doi:10.1184/r1/12707963.v1","name":"ALFA: A Dataset for UAV Fault and Anomaly Detection","source":"datacite","abstract":"The recent growth in the use of Autonomous Aerial Vehicles (AAVs) has increased concerns about the safety of the autonomous vehicles, the people, and the properties around the flight path and onboard the vehicle. Much research is being done on new regulations, more robust systems are designed to address the concerns, and new methods and algorithms are introduced to detect the potential hardware and software issues. This dataset presents several fault types in control surfaces of a fixed-wing Unmanned Aerial Vehicle (UAV) for use in Fault Detection and Isolation (FDI) and Anomaly Detection (AD) research. Currently, the dataset includes processed data for 47 autonomous flights with 23 sudden full engine failure scenarios and 24 scenarios for seven other types of sudden control surface (actuator) faults, with a total of 66 minutes of flight in normal conditions and 13 minutes of post-fault flight time. It additionally includes many hours of raw data of fully-autonomous, autopilot-assisted and manual flights with tens of fault scenarios. The ground truth of the time and type of faults is provided in each scenario to enable the evaluation of new methods using the dataset. We have also provided the helper tools in several programming languages to load and work with the data and to help the evaluation of a detection method using the dataset. A set of metrics is proposed to help to compare different methods using the dataset. Most of the current fault detection methods are evaluated in simulation and as far as we know, this dataset is the only one providing the real flight data with faults in such capacity. We hope it will help advance the state-of-the-art in Anomaly Detection or FDI research for Autonomous Aerial Vehicles and mobile robots to enhance the safety of autonomous and remote flight operations further. Hardware: The platform used for collecting the dataset is a custom modification of the Carbon Z T-28 model plane. The plane has 2 meters of wingspan, a single electric engine in the front, ailerons, flaperons, an elevator, and a rudder. We equipped the aircraft with a Holybro PX4 2.4.6 autopilot, a Pitot Tube, a GPS module, and an Nvidia Jetson TX2 onboard computer. In addition to the receiver, we also equipped it with a radio for communication with the ground station. Software: The Pixhawk autopilot uses a custom version of Ardupilot/ArduPlane firmware to control the plane in both manual and autonomous modes and to create the simulations. The original firmware is modified from ArduPlane v3.9.0beta1 to allow disabling control surfaces during the flight. The onboard computer uses Robot Operating System(ROS) Kinetic Kame on Linux Ubuntu 16.04 (Xenial) to read the flight and state information from the Pixhawk using MAVROS package (the MAVLink node for ROS). More Information and Supplemental Tools Please visit http://theairlab.org/alfa-dataset for more information. It includes the description of each flight sequence, alternative download locations to view and download each individual flight sequence, correct citations to the relevant publications, supplemental code, and an open-source published method using the dataset. The corresponding paper explaining the dataset in more detail is currently under review in the International Journal of Robotics Research (IJRR). The pre-print (arXiv) of the paper can be accessed from our website at http://theairlab.org/alfa-dataset . The supplemental tools for reading and working with the dataset in C++, MATLAB and Python languages can be accessed from https://github.com/castacks/alfa-dataset. The repository also includes a C++ ROS-based tool for evaluating the new methods and all the ROS message type definitions for working directly with the ROS bags. Citing the Work Please refer to our website at http://theairlab.org/alfa-dataset to find the correct citation(s) if you are using this dataset.","url":"https://doi.org/10.1184/r1/12707963.v1","authors":["Keipour, Azarakhsh","Mohammadreza Mousaei","Scherer, Sebastian"],"tags":["90602 Control Systems, Robotics and Automation","FOS: Electrical engineering, electronic engineering, information engineering","FOS: Electrical engineering, electronic engineering, information engineering","80101 Adaptive Agents and Intelligent Robotics","FOS: Computer and information sciences","FOS: Computer and information sciences"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2020","doi":"10.1184/r1/12707963.v1","addedAt":"2026-08-31T06:39:59.809Z","updatedAt":"2026-08-31T06:39:59.809Z"},{"id":"doi:10.48550/arxiv.2505.22320","name":"Chain-of-Thought for Large Language Model-empowered Wireless Communications","source":"datacite","abstract":"Recent advances in large language models (LLMs) have opened new possibilities for automated reasoning and decision-making in wireless networks. However, applying LLMs to wireless communications presents challenges such as limited capability in handling complex logic, generalization, and reasoning. Chain-of-Thought (CoT) prompting, which guides LLMs to generate explicit intermediate reasoning steps, has been shown to significantly improve LLM performance on complex tasks. Inspired by this, this paper explores the application potential of CoT-enhanced LLMs in wireless communications. Specifically, we first review the fundamental theory of CoT and summarize various types of CoT. We then survey key CoT and LLM techniques relevant to wireless communication and networking. Moreover, we introduce a multi-layer intent-driven CoT framework that bridges high-level user intent expressed in natural language with concrete wireless control actions. Our proposed framework sequentially parses and clusters intent, selects appropriate CoT reasoning modules via reinforcement learning, then generates interpretable control policies for system configuration. Using the unmanned aerial vehicle (UAV) network as a case study, we demonstrate that the proposed framework significantly outperforms a non-CoT baseline in both communication performance and quality of generated reasoning.","url":"https://doi.org/10.48550/arxiv.2505.22320","authors":["Wang, Xudong","Zhu, Jian","Zhang, Ruichen","Feng, Lei","Niyato, Dusit","Wang, Jiacheng","Du, Hongyang","Mao, Shiwen","Han, Zhu"],"tags":["Networking and Internet Architecture (cs.NI)","FOS: Computer and information sciences","FOS: Computer and information sciences"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.48550/arxiv.2505.22320","addedAt":"2026-08-31T06:39:59.809Z","updatedAt":"2026-08-31T06:39:59.809Z"},{"id":"doi:10.48550/arxiv.2505.12379","name":"Toward Near-Space Communication Network in the 6G and Beyond Era","source":"datacite","abstract":"Near-space communication network (NS-ComNet), as an indispensable component of sixth-generation (6G) and beyond mobile communication systems and the space-air-ground-sea integrated network (SAGSIN), demonstrates unique advantages in wide-area coverage, long-endurance high-altitude operation, and highly flexible deployment. This paper presents a comprehensive review of NS-ComNet for 6G and beyond era. Specifically, by contrasting satellite, low-altitude unmanned-aerial-vehicle (UAV), and terrestrial communications, we first elucidate the background and motivation for integrating NS-ComNet into 6G network architectures. Subsequently, we review the developmental status of near-space platforms, including high-altitude balloons, solar-powered UAVs, and stratospheric airships, and analyze critical challenges faced by NS-ComNet. To address these challenges, the research focuses on key enabling technologies such as topology design, resource and handover management, multi-objective joint optimization, etc., with particular emphasis on artificial intelligence techniques for NS-ComNet. Finally, envisioning future intelligent collaborative networks that integrate NS-ComNet with satellite-UAV-terrestrial systems, we explore promising directions. This paper aims to provide technical insights and research foundations for the systematic construction of NS-ComNet and its deep deployment in the 6G and beyond era.","url":"https://doi.org/10.48550/arxiv.2505.12379","authors":["Liu, Xinhua","Gao, Zhen","Wan, Ziwei","Wu, Zhonghuai","Li, Tuan","Mao, Tianqi","Liang, Xiao","Zheng, Dezhi","Zhang, Jun"],"tags":["Signal Processing (eess.SP)","FOS: Electrical engineering, electronic engineering, information engineering","FOS: Electrical engineering, electronic engineering, information engineering"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.48550/arxiv.2505.12379","addedAt":"2026-08-31T06:39:59.809Z","updatedAt":"2026-08-31T06:39:59.809Z"},{"id":"doi:10.5281/zenodo.15302807","name":"A THEORETICAL DESIGN OF A COMBINED AIR AND GROUND UNMANNED VEHICLE FOR SEARCH AND FOLLOW A DISASTER","source":"datacite","abstract":"The combination between unmanned ground vehicle and unmanned Ariel vehicle has become a matter of discussion lately in the field of robotics. This paper proposes a theoretical design of an unmanned vehicle with dimensions of (370 X 367 X 318 mm) which can fly as aerial vehicle and move on the ground, so it is considered unmanned ground vehicle as well. Subsequently, hybrid design is appropriate for following disaster robot because of the harsh environment. This investigation comprises literature review on some previous works in this regards along with the conception of the vehicle is argued in details with 3 D drawings. Furthermore, some calculations of the drag, lift forces and power consumption are performed. Finally, MATLAB plots are extracted to give an indication of the displacement response of the automobile in both X-Y axes.","url":"https://doi.org/10.5281/zenodo.15302807","authors":["huang, yazeng"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.15302807","addedAt":"2026-08-31T06:39:59.809Z","updatedAt":"2026-08-31T06:39:59.809Z"},{"id":"doi:10.5281/zenodo.15302808","name":"A THEORETICAL DESIGN OF A COMBINED AIR AND GROUND UNMANNED VEHICLE FOR SEARCH AND FOLLOW A DISASTER","source":"datacite","abstract":"The combination between unmanned ground vehicle and unmanned Ariel vehicle has become a matter of discussion lately in the field of robotics. This paper proposes a theoretical design of an unmanned vehicle with dimensions of (370 X 367 X 318 mm) which can fly as aerial vehicle and move on the ground, so it is considered unmanned ground vehicle as well. Subsequently, hybrid design is appropriate for following disaster robot because of the harsh environment. This investigation comprises literature review on some previous works in this regards along with the conception of the vehicle is argued in details with 3 D drawings. Furthermore, some calculations of the drag, lift forces and power consumption are performed. Finally, MATLAB plots are extracted to give an indication of the displacement response of the automobile in both X-Y axes.","url":"https://doi.org/10.5281/zenodo.15302808","authors":["huang, yazeng"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.15302808","addedAt":"2026-08-31T06:39:59.809Z","updatedAt":"2026-08-31T06:39:59.809Z"},{"id":"doi:10.25824/redu/qgaupi","name":"Study for optimization of battery consumption for unmanned aerial vehicles","source":"datacite","abstract":"Dataset from 2025 Leonardo Grando Ph.D. Thesis. This dataset is used in three Thesis related publications also. The thesis abstract is: Unmanned aerial vehicles (UAVs), also called drones, can be used in critical applications, such as disaster recovery support or precision agriculture. However, their autonomy is limited due to their small size and capacity. New forms of energy can increase the autonomy of drones and improve the coordination of their processes, both work and decision-making for recharging their energy sources. This work aims to develop coordination proposals for the recharging process of these devices, aiming to increase their autonomy. In this research, drones are considered IoT devices, operating together, in the form of a swarm. Drones need to decide whether or not to recharge their batteries at a recharging station. This work presents two main results: first, the identification of three gaps in the literature from a systematic review on the process of coordinating drone recharging in the context of applications in agriculture and disasters. The second result was the development and documentation of an agent-based simulation (ABM) model in NetLogo software, in which 12,000 simulation runs were performed. In this model, a swarm of drones is considered acting autonomously and without communication with each other when deciding whether to recharge. For this model, two decision-making policies were proposed, called Baseline (BL) and ChargerThreshold (CT), which were developed and tested, in addition to three indicators to evaluate robustness and efficiency in different situations. The literature review showed that there are few practical studies in the context of recharging drone swarms. The development of a simulation base, such as this work, as well as the creation of indicators to evaluate simulation scenarios, are important contributions to this research area, as they serve as a basis for future developments. The results highlighted three types of gaps found in the literature and showed that both policies work well in situations with lower energy demand. However, in scenarios with higher battery consumption, the CT policy proved to be more efficient, allowing the set of drones to perform the expected work autonomously. The simulation results highlight the potential of the proposed decision-making strategies to optimize drone coordination in real-world scenarios, as well as showing the potential for using this approach in other applications, such as the electric vehicle recharging process.","url":"https://doi.org/10.25824/redu/qgaupi","authors":["Grando, Leonardo","Ursini, Edson Luiz"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.25824/redu/qgaupi","addedAt":"2026-08-31T06:39:59.809Z","updatedAt":"2026-08-31T06:40:05.995Z"},{"id":"doi:10.48550/arxiv.2412.20699","name":"Air-Ground Collaborative Robots for Fire and Rescue Missions: Towards Mapping and Navigation Perspective","source":"datacite","abstract":"Air-ground collaborative robots have shown great potential in the field of fire and rescue, which can quickly respond to rescue needs and improve the efficiency of task execution. Mapping and navigation, as the key foundation for air-ground collaborative robots to achieve efficient task execution, have attracted a great deal of attention. This growing interest in collaborative robot mapping and navigation is conducive to improving the intelligence of fire and rescue task execution, but there has been no comprehensive investigation of this field to highlight their strengths. In this paper, we present a systematic review of the ground-to-ground cooperative robots for fire and rescue from a new perspective of mapping and navigation. First, an air-ground collaborative robots framework for fire and rescue missions based on unmanned aerial vehicle (UAV) mapping and unmanned ground vehicle (UGV) navigation is introduced. Then, the research progress of mapping and navigation under this framework is systematically summarized, including UAV mapping, UAV/UGV co-localization, and UGV navigation, with their main achievements and limitations. Based on the needs of fire and rescue missions, the collaborative robots with different numbers of UAVs and UGVs are classified, and their practicality in fire and rescue tasks is elaborated, with a focus on the discussion of their merits and demerits. In addition, the application examples of air-ground collaborative robots in various firefighting and rescue scenarios are given. Finally, this paper emphasizes the current challenges and potential research opportunities, rounding up references for practitioners and researchers willing to engage in this vibrant area of air-ground collaborative robots.","url":"https://doi.org/10.48550/arxiv.2412.20699","authors":["Zhang, Ying","Yan, Haibao","Zhu, Danni","Wang, Jiankun","Zhang, Cui-Hua","Ding, Weili","Luo, Xi","Hua, Changchun","Meng, Max Q. -H."],"tags":["Robotics (cs.RO)","FOS: Computer and information sciences","FOS: Computer and information sciences"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.48550/arxiv.2412.20699","addedAt":"2026-08-31T06:39:59.809Z","updatedAt":"2026-08-31T06:39:59.809Z"},{"id":"doi:10.48550/arxiv.2502.08129","name":"Control Barrier Function-Based Quadratic Programming for SafeOperation of Tethered UAVs","source":"datacite","abstract":"Consider an unmanned aerial vehicle (UAV) physically connected to the ground station with a tether operating in a space, tasked with performing precise maneuvers while constrained by the physical limitation of its tether, which prevents it from flying beyond a maximum allowable length. Violating this tether constraint could lead to system failure or operational hazards, making it essential to enforce safety constraints dynamically while ensuring the drone can track desired trajectories accurately. This paper presents a Control Barrier Function Quadratic Programming Framework (CBF-QP) for ensuring the safe and efficient operation of tethered unmanned aerial vehicles (TUAVs). The framework leverages nominal backstepping control to achieve trajectory tracking, augmented with control barrier functions to ensure compliance with the tether constraint. In this proposed method, the tether constraint is directly embedded in the control design and therefore guarantees the TUAV remains within a predefined operational region defined by the maximum tether length while achieving precise trajectory tracking. The effectiveness of the proposed framework is validated through simulations involving set-point tracking, dynamic trajectory following, and disturbances such as incorrect user inputs. The results demonstrate that the TUAV respects the tether constraint ||x(t)||= Lmax, with tracking errors converging to zero and the control input remaining bounded.","url":"https://doi.org/10.48550/arxiv.2502.08129","authors":["Folorunsho, Samuel O.","Ni, Maggi","Norris, William R."],"tags":["Systems and Control (eess.SY)","FOS: Electrical engineering, electronic engineering, information engineering","FOS: Electrical engineering, electronic engineering, information engineering"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.48550/arxiv.2502.08129","addedAt":"2026-08-31T06:39:59.809Z","updatedAt":"2026-08-31T06:39:59.809Z"},{"id":"doi:10.18720/spbpu/3/2024/vr/vr24-5644","name":"Drone detection system application","source":"datacite","abstract":"This work examines existing developments and proposes proprietary solutions in the field of unmanned aerial vehicle (UAV) detection in images using neural network algorithms and digital image processing techniques. The first section of the work provides a description of the goal and objectives of the final product, a review of existing commercial solutions and publications in the relevant field, as well as a justification for selecting a set of tools and libraries for solving the task. The second section of the paper is a theoretical exploration of issues related to criteria for comparing models, methods for addressing detection and classification problems, and the implementation of a graphical application. It also presents a novel approach to classifying UAVs based on their cargo. The VGG16 and YOLOv8 architectures were selected as neural network-based solutions for this task, Haar Cascades and SIFT algorithms were used to address the problem using digital image processing techniques. The third section of the work describes the overall scheme of the application under development and the code that implements the selected algorithms and graphical interface; the described flowcharts and code are located within the application section. In the final section of the paper, a comparison of the implemented algorithms is presented, and the most suitable combinations of algorithms are selected, depending on the specific task at hand: processing an image stream, achieving maximum processing speed, or achieving maximum accuracy. Finally, a discussion of possible future enhancements to the project within the context of this thesis work is provided.","url":"https://doi.org/10.18720/spbpu/3/2024/vr/vr24-5644","authors":["Никифоров, Тимофей"],"tags":["Нейронные сети","Летательные аппараты беспилотные","software development","graphical user interface","разработка программного обеспечения","графический интерфейс пользователя"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.18720/spbpu/3/2024/vr/vr24-5644","addedAt":"2026-08-31T06:39:59.809Z","updatedAt":"2026-08-31T06:39:59.809Z"},{"id":"doi:10.5281/zenodo.14753356","name":"Unmanned Aerial Vehicle Attitude Determination Strategies: A Review","source":"datacite","abstract":"The attitude of an unmanned aerial vehicle is a very important flight parameter that needs to be known at every time during its flight. Throughout the ages, as technology has evolved, different approaches have been applied to determine this quantity. These approaches have often made use of an angular velocity source, linear acceleration information or magnetic field measurements. In this study, we present a review of these techniques, covering single- and multi-sensor approaches, deterministic and optimal strategies, as well as filter-based approaches. In the end, a method for deriving the attitude as is carried out in the present is suggested.","url":"https://doi.org/10.5281/zenodo.14753356","authors":["David Kofi, Oppong","David Kofi, Oppong"],"tags":["Unmanned aerial vehicle"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.5281/zenodo.14753356","addedAt":"2026-08-31T06:39:59.809Z","updatedAt":"2026-08-31T06:39:59.809Z"},{"id":"doi:10.5281/zenodo.14753355","name":"Unmanned Aerial Vehicle Attitude Determination Strategies: A Review","source":"datacite","abstract":"The attitude of an unmanned aerial vehicle is a very important flight parameter that needs to be known at every time during its flight. Throughout the ages, as technology has evolved, different approaches have been applied to determine this quantity. These approaches have often made use of an angular velocity source, linear acceleration information or magnetic field measurements. In this study, we present a review of these techniques, covering single- and multi-sensor approaches, deterministic and optimal strategies, as well as filter-based approaches. In the end, a method for deriving the attitude as is carried out in the present is suggested.","url":"https://doi.org/10.5281/zenodo.14753355","authors":["David Kofi, Oppong","David Kofi, Oppong"],"tags":["Unmanned aerial vehicle"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.5281/zenodo.14753355","addedAt":"2026-08-31T06:39:59.809Z","updatedAt":"2026-08-31T06:39:59.809Z"},{"id":"doi:10.5281/zenodo.4035038","name":"Digital surface model and orthomosaic of the Chã das Caldeiras lava fields (Fogo Island, Cape Verde, December 2016)","source":"datacite","abstract":"Fogo in the Cape Verde archipelago off Western Africa is one of the most prominent and active ocean island volcanoes on Earth, posing an important hazard to both local populations and at a regional level. The last eruption took place between 23 November 2014 and 8 February 2015 in the Chã das Caldeiras area at an elevation close to 1,800 m above sea level The eruptive episode gave origin to extensive lava flows that almost fully destroyed the settlements of Bangaeira, Portela and Ilhéu de Losna. In December 2016 a survey of the Chã das Caldeiras area was conducted using a fixed-wing unmanned aerial vehicle and RTK GNSS, with the objective of improving the mapping accuracy derived from satellite platforms. The main result is an ultra-high resolution 3D point cloud with a Root Mean Square Error of 0.08 m in X, 0.11 m in Y and 0.12 m in Z, which provides unprecedented accuracy. The survey covers an area of 23. 9 km 2 and used 2909 calibrated images with an average ground sampling distance of 7.2 cm. A digital surface model and an orthomosaic with 25 cm resolution are provided, together with elevation contours with an equidistance of 50 cm and a 3D texture mesh for visualization purposes. The delineation of the 2014-15 lava flows shows an area of 4.53 km 2 by lava, which is smaller but more accurate than the previous estimates from 4.8 to 4.97 km 2 . The difference in the calculated area, when compared to previously reported values, is due to a more detailed mapping of flow geometry and the exclusion of the areas corresponding to kīpukas. Our study provides an ultra high-resolution dataset of the areas affected by Fogo’s latest eruption – crucial for local planning – and provides a case study to determine the advantages of ultra high-resolution UAV surveys in disaster-prone areas. The details on surveying and processing are described in the manuscript \"Very high-resolution terrain surveys of the Chã das Caldeiras lava fields (Fogo Island, Cape Verde) submitted to the journal Earth System Science Data and under peer review. Files: - cha_caldeiras_contours_50cm.zip: Compressed shapefile (shp) and auxiliary files. Contour lines of the Chã das Caldeiras in December 2016 with 50 cm equidistance, interpolated from the digital surface model. CRS: ESPG 32626 - WGS 84 / UTM Zone 26N, elevation: ellipsoidal ITRF2014 (WGS84). - cha_caldeiras_dsm_25cm.tif: Digital surface model of the Chã das Caldeiras in December 2016 with 25 cm resolution. CRS: ESPG 32626 - WGS 84 / UTM Zone 26N, elevation: ellipsoidal ITRF2014 (WGS84). - cha_caldeiras_error_assessment_areas.zip: Compressed shapefile (shp) and auxiliary files. . Areas with errors in the point cloud obtained by visual analysis. 1. Low accuracy, 2. Moderate accuracy. CRS: ESPG 32626 - WGS 84 / UTM Zone 26N. - cha_caldeiras_ortho_25cm.tif: Orthomosaic RGB of the Chã das Caldeiras in December 2016 with 25 cm resolution. CRS: ESPG 32626 - WGS 84 / UTM Zone 26N. - cha_caldeiras_pix4d_report.pdf: Report of the processing of the aerial imagery in PIX4D. - lava-2014-15.zip: Compressed shapefile (shp) and auxiliary files. Lava flows of the eruption of 2014-15 digitised from the original 10 cm resolution orthomosaic. CRS: ESPG 32626 - WGS 84 / UTM Zone 26N","url":"https://doi.org/10.5281/zenodo.4035038","authors":["Vieira, Gonçalo","Mora, Carla","Pina, Pedro","Ramalho, Ricardo","Fernandes, Rui"],"tags":["lava fields","digital surface model","orthomosaic","Fogo","Cape Verde"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2020","doi":"10.5281/zenodo.4035038","addedAt":"2026-08-31T06:39:59.809Z","updatedAt":"2026-08-31T06:39:59.809Z"},{"id":"doi:10.48550/arxiv.2501.00856","name":"Advances in UAV Avionics Systems Architecture, Classification and Integration: A Comprehensive Review and Future Perspectives","source":"datacite","abstract":"Avionics systems of an Unmanned Aerial Vehicle (UAV) or drone are the critical electronic components found onboard that regulate, navigate, and control UAV travel while ensuring public safety. Contemporary UAV avionics work together to facilitate success of UAV missions by enabling stable communication, secure identification protocols, novel energy solutions, multi-sensor accurate perception and autonomous navigation, precise path planning, that guarantees collision avoidance, reliable trajectory control, and efficient data transfer within the UAV system. Moreover, special consideration must be given to electronic warfare threats prevention, detection, and mitigation, and the regulatory framework associated with UAV operations. This review presents the role and taxonomy of each UAV avionics system while covering shortcomings and benefits of available alternatives within each system. UAV communication systems, antennas, and location communication tracking are surveyed. Identification systems that respond to air-to-air or air-to-ground interrogating signals are presented. UAV classical and more innovative power sources are discussed. The rapid development of perception systems improves UAV autonomous navigation and control capabilities. The paper reviews common perception systems, navigation techniques, path planning approaches, obstacle avoidance methods, and tracking control. Modern electronic warfare uses advanced techniques and has to be counteracted by equally advanced methods to keep the public safe. Consequently, this work presents a detailed overview of common electronic warfare threats and state-of-the-art countermeasures and defensive aids. UAV safety occurrences are analyzed in the context of national regulatory framework and the certification process. Databus communication and standards for UAVs are reviewed as they enable efficient and fast real-time data transfer.","url":"https://doi.org/10.48550/arxiv.2501.00856","authors":["Hashim, Hashim A."],"tags":["Systems and Control (eess.SY)","FOS: Electrical engineering, electronic engineering, information engineering","FOS: Electrical engineering, electronic engineering, information engineering"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.48550/arxiv.2501.00856","addedAt":"2026-08-31T06:39:59.809Z","updatedAt":"2026-08-31T06:39:59.809Z"},{"id":"doi:10.48550/arxiv.2412.09502","name":"Nonlinear control and stability analysis of a unified Tethered UAV-winder system","source":"datacite","abstract":"This paper presents the development of a comprehensive dynamics and stabilizing control architecture for Tethered Unmanned Aerial Vehicle (TUAV) systems. The proposed architecture integrates both onboard and ground-based controllers, employing nonlinear backstepping control techniques to achieve asymptotic stability of the TUAV's equilibrium. The onboard controllers are responsible for the position and attitude control of the TUAV, while the ground controllers regulate the winder mechanism to maintain the desired tether length, ensuring it retains its catenary form. Simulation results demonstrate the ability of the TUAV system to accurately track linear and circular trajectories, ensuring robust performance under various operational scenarios. The code and movies demonstrating the performance of the system can be found at https://github.com/sof-danny/TUAV\\_system\\_control.","url":"https://doi.org/10.48550/arxiv.2412.09502","authors":["Folorunsho, Samuel","Ni, Maggie","Norris, William"],"tags":["Systems and Control (eess.SY)","FOS: Electrical engineering, electronic engineering, information engineering","FOS: Electrical engineering, electronic engineering, information engineering"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.48550/arxiv.2412.09502","addedAt":"2026-08-31T06:39:59.809Z","updatedAt":"2026-08-31T06:39:59.809Z"},{"id":"doi:10.48550/arxiv.1909.06669","name":"Special Orthogonal Group SO(3), Euler Angles, Angle-axis, Rodriguez Vector and Unit-Quaternion: Overview, Mapping and Challenges","source":"datacite","abstract":"The attitude of a rigid-body in the three dimensional space has a unique and global definition on the Special Orthogonal Group SO (3). This paper gives an overview of the rotation matrix, attitude kinematics and parameterization. The four most frequently used methods of attitude representations are discussed with detailed derivations, namely Euler angles, angle-axis parameterization, Rodriguez vector, and unit-quaternion. The mapping from one representation to others including SO (3) is given. Also, important results which could be useful for the process of filter and/or control design are given. The main weaknesses of attitude parameterization using Euler angles, angle-axis parameterization, Rodriguez vector, and unit-quaternion are illustrated. Keywords: Special Orthogonal Group 3, Euler angles, Angle-axis, Rodriguez Vector, Unit-quaternion, SO(3), Mapping, Parameterization, Attitude, Control, Filter, Observer, Estimator, Rotation, Rotational matrix, Transformation matrix, Orientation, Transformation, Roll, Pitch, Yaw, Quad-rotor, Unmanned aerial vehicle, Robot, spacecraft, satellite, UAV, Underwater vehicle, autonomous, system, Pose, literature review, survey, overview, comparison, comparative study, body frame, identity, origin, dynamics, kinematics, Lie group, inertial frame, zero, filter, control, estimate, observation, measurement, 3D, three dimensional space, advantage, disadvantage.","url":"https://doi.org/10.48550/arxiv.1909.06669","authors":["Hashim, Hashim A."],"tags":["Optimization and Control (math.OC)","Systems and Control (eess.SY)","FOS: Mathematics","FOS: Mathematics","FOS: Electrical engineering, electronic engineering, information engineering","FOS: Electrical engineering, electronic engineering, information engineering"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2019","doi":"10.48550/arxiv.1909.06669","addedAt":"2026-08-31T06:39:59.809Z","updatedAt":"2026-08-31T06:39:59.809Z"},{"id":"doi:10.5281/zenodo.13903145","name":"A THEORETICAL DESIGN OF A COMBINED AIR AND GROUND UNMANNED VEHICLE FOR SEARCH AND FOLLOW A DISASTER","source":"datacite","abstract":"The combination between unmanned ground vehicle and unmanned Ariel vehicle has become a matter of discussion lately in the field of robotics. This paper proposes a theoretical design of an unmanned vehicle with dimensions of (370 X 367 X 318 mm) which can fly as aerial vehicle and move on the ground, so it is considered unmanned ground vehicle as well. Subsequently, hybrid design is appropriate for following disaster robot because of the harsh environment. This investigation comprises literature review on some previous works in this regards along with the conception of the vehicle is argued in details with 3 D drawings. Furthermore, some calculations of the drag, lift forces and power consumption are performed. Finally, MATLAB plots are extracted to give an indication of the displacement response of the automobile in both X-Y axes.","url":"https://doi.org/10.5281/zenodo.13903145","authors":["Shakir, Shakirullah Khan"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.5281/zenodo.13903145","addedAt":"2026-08-31T06:39:59.809Z","updatedAt":"2026-08-31T06:39:59.809Z"},{"id":"doi:10.5281/zenodo.13903146","name":"A THEORETICAL DESIGN OF A COMBINED AIR AND GROUND UNMANNED VEHICLE FOR SEARCH AND FOLLOW A DISASTER","source":"datacite","abstract":"The combination between unmanned ground vehicle and unmanned Ariel vehicle has become a matter of discussion lately in the field of robotics. This paper proposes a theoretical design of an unmanned vehicle with dimensions of (370 X 367 X 318 mm) which can fly as aerial vehicle and move on the ground, so it is considered unmanned ground vehicle as well. Subsequently, hybrid design is appropriate for following disaster robot because of the harsh environment. This investigation comprises literature review on some previous works in this regards along with the conception of the vehicle is argued in details with 3 D drawings. Furthermore, some calculations of the drag, lift forces and power consumption are performed. Finally, MATLAB plots are extracted to give an indication of the displacement response of the automobile in both X-Y axes.","url":"https://doi.org/10.5281/zenodo.13903146","authors":["Shakir, Shakirullah Khan"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.5281/zenodo.13903146","addedAt":"2026-08-31T06:39:59.809Z","updatedAt":"2026-08-31T06:39:59.809Z"},{"id":"doi:10.48550/arxiv.2409.05985","name":"Advance and Refinement: The Evolution of UAV Detection and Classification Technologies","source":"datacite","abstract":"This review provides a detailed analysis of the advancements in unmanned aerial vehicle (UAV) detection and classification systems from 2020 to today. It covers various detection methodologies such as radar, radio frequency, optical, and acoustic sensors, and emphasizes their integration via sophisticated sensor fusion techniques. The fundamental technologies driving UAV detection and classification are thoroughly examined, with a focus on their accuracy and range. Additionally, the paper discusses the latest innovations in artificial intelligence and machine learning, illustrating their impact on improving the accuracy and efficiency of these systems. The review concludes by predicting further technological developments in UAV detection, which are expected to enhance both performance and reliability.","url":"https://doi.org/10.48550/arxiv.2409.05985","authors":["Semenyuk, Vladislav","Kurmashev, Ildar","Lupidi, Alberto","Alyoshin, Dmitriy","Kurmasheva, Liliya","Cantelli-Forti, Alessandro"],"tags":["Computer Vision and Pattern Recognition (cs.CV)","Signal Processing (eess.SP)","FOS: Computer and information sciences","FOS: Computer and information sciences","FOS: Electrical engineering, electronic engineering, information engineering","FOS: Electrical engineering, electronic engineering, information engineering"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.48550/arxiv.2409.05985","addedAt":"2026-08-31T06:39:59.809Z","updatedAt":"2026-08-31T06:39:59.809Z"},{"id":"doi:10.48550/arxiv.2409.03245","name":"UAV (Unmanned Aerial Vehicles): Diverse Applications of UAV Datasets in Segmentation, Classification, Detection, and Tracking","source":"datacite","abstract":"Unmanned Aerial Vehicles (UAVs), have greatly revolutionized the process of gathering and analyzing data in diverse research domains, providing unmatched adaptability and effectiveness. This paper presents a thorough examination of Unmanned Aerial Vehicle (UAV) datasets, emphasizing their wide range of applications and progress. UAV datasets consist of various types of data, such as satellite imagery, images captured by drones, and videos. These datasets can be categorized as either unimodal or multimodal, offering a wide range of detailed and comprehensive information. These datasets play a crucial role in disaster damage assessment, aerial surveillance, object recognition, and tracking. They facilitate the development of sophisticated models for tasks like semantic segmentation, pose estimation, vehicle re-identification, and gesture recognition. By leveraging UAV datasets, researchers can significantly enhance the capabilities of computer vision models, thereby advancing technology and improving our understanding of complex, dynamic environments from an aerial perspective. This review aims to encapsulate the multifaceted utility of UAV datasets, emphasizing their pivotal role in driving innovation and practical applications in multiple domains.","url":"https://doi.org/10.48550/arxiv.2409.03245","authors":["Rahman, Md. Mahfuzur","Siddique, Sunzida","Kamal, Marufa","Rifat, Rakib Hossain","Gupta, Kishor Datta"],"tags":["Computer Vision and Pattern Recognition (cs.CV)","FOS: Computer and information sciences","FOS: Computer and information sciences"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.48550/arxiv.2409.03245","addedAt":"2026-08-31T06:39:59.809Z","updatedAt":"2026-08-31T06:39:59.809Z"},{"id":"doi:10.18720/spbpu/3/2024/vr/vr24-5588","name":"Оценка последствий попадания беспилотного летательного аппарата с боевой частью в объект социальной инфраструктуры","source":"datacite","abstract":"Тема выпускной квалификационной работы: «Оценка последствий попадания беспилотного летательного аппарата с боевой частью в объект социальной инфраструктуры». Данная работа посвящена оценке последствий попадания беспилотного летательного аппарата с боевой частью в объект социальной инфраструктуры. Исследование проводится с целью повышения безопасности общественных объектов и защиты жизни и здоровья граждан. В рамках исследования были поставлены следующие задачи: - произвести обзор используемых БПЛА и проанализировать последствия попадания беспилотного летательного аппарата с боевой частью в объекты социальной инфраструктуры; - оценить потенциальные последствия подобного инцидента для объектов социальной инфраструктуры; - разработать рекомендации по совершенствованию системы обеспечения безопасности и защиты объектов социальной инфраструктуры от атак с применением беспилотных летательных аппаратов. В ходе работы проводится анализ характеристик и возможных последствий попадания беспилотного летательного аппарата с боевой частью в объекты социальной инфраструктуры, в качестве объекта был выбран больничный кампус в городе N. Особое внимание уделяется разработке мер по предотвращению подобных инцидентов и минимизации возможного ущерба,, для этого используются информационные технологий, в том числе программное обеспечение, облачные сервизы, базы данных и прочие сквозные цифровые технологии: официальный интернет-портал правовой информации (pravo.gov.ru), Политех электронная библиотека (elib.spbstu.ru), научная электронная библиотека (www.elibrary.ru.), Microsoft Excel и MathLAB. В результате исследования планируется разработать практические рекомендации для органов управления, ответственных за обеспечение безопасности и защиту объектов социальной инфраструктуры.","url":"https://doi.org/10.18720/spbpu/3/2024/vr/vr24-5588","authors":["Доронина, Елена"],"tags":["беспилотный летательный аппарат","объект социальной инфраструктуры","последствия","оценка","безопасность","ущерб","unmanned aircraft","social infrastructure object"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.18720/spbpu/3/2024/vr/vr24-5588","addedAt":"2026-08-31T06:39:59.809Z","updatedAt":"2026-08-31T06:39:59.809Z"},{"id":"doi:10.48550/arxiv.2408.08496","name":"Generative AI for Energy Harvesting Internet of Things Network: Fundamental, Applications, and Opportunities","source":"datacite","abstract":"Internet of Things (IoT) devices are typically powered by small-sized batteries with limited energy storage capacity, requiring regular replacement or recharging. To reduce costs and maintain connectivity in IoT networks, energy harvesting technologies are regarded as a promising solution. Notably, due to its robust analytical and generative capabilities, generative artificial intelligence (GenAI) has demonstrated significant potential in optimizing energy harvesting networks. Therefore, we discuss key applications of GenAI in improving energy harvesting wireless networks for IoT in this article. Specifically, we first review the key technologies of GenAI and the architecture of energy harvesting wireless networks. Then, we show how GenAI can address different problems to improve the performance of the energy harvesting wireless networks. Subsequently, we present a case study of unmanned aerial vehicle (UAV)-enabled data collection and energy transfer. The case study shows distinctively the necessity of energy harvesting technology and verify the effectiveness of GenAI-based methods. Finally, we discuss some important open directions.","url":"https://doi.org/10.48550/arxiv.2408.08496","authors":["Xie, Wenwen","Sun, Geng","Li, Jiahui","Wang, Jiacheng","Du, Hongyang","Niyato, Dusit","Dobre, Octavia A."],"tags":["Networking and Internet Architecture (cs.NI)","Signal Processing (eess.SP)","FOS: Computer and information sciences","FOS: Computer and information sciences","FOS: Electrical engineering, electronic engineering, information engineering","FOS: Electrical engineering, electronic engineering, information engineering"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.48550/arxiv.2408.08496","addedAt":"2026-08-31T06:39:59.809Z","updatedAt":"2026-08-31T06:39:59.809Z"},{"id":"doi:10.48550/arxiv.2404.00954","name":"Digital Twins and Testbeds for Supporting AI Research with Autonomous Vehicle Networks","source":"datacite","abstract":"Digital twins (DTs), which are virtual environments that simulate, predict, and optimize the performance of their physical counterparts, hold great promise in revolutionizing next-generation wireless networks. While DTs have been extensively studied for wireless networks, their use in conjunction with autonomous vehicles featuring programmable mobility remains relatively under-explored. In this paper, we study DTs used as a development environment to design, deploy, and test artificial intelligence (AI) techniques that utilize real-world (RW) observations, e.g. radio key performance indicators, for vehicle trajectory and network optimization decisions in autonomous vehicle networks (AVN). We first compare and contrast the use of simulation, digital twin (software in the loop (SITL)), sandbox (hardware-in-the-loop (HITL)), and physical testbed (PT) environments for their suitability in developing and testing AI algorithms for AVNs. We then review various representative use cases of DTs for AVN scenarios. Finally, we provide an example from the NSF AERPAW platform where a DT is used to develop and test AI-aided solutions for autonomous unmanned aerial vehicles for localizing a signal source based solely on link quality measurements. Our results in the physical testbed show that SITL DTs, when supplemented with data from RW measurements and simulations, can serve as an ideal environment for developing and testing innovative AI solutions for AVNs.","url":"https://doi.org/10.48550/arxiv.2404.00954","authors":["Gürses, Anıl","Reddy, Gautham","Masrur, Saad","Özdemir, Özgür","Güvenç, İsmail","Sichitiu, Mihail L.","Şahin, Alphan","Alkhateeb, Ahmed","Mushi, Magreth","Dutta, Rudra"],"tags":["Signal Processing (eess.SP)","Networking and Internet Architecture (cs.NI)","FOS: Electrical engineering, electronic engineering, information engineering","FOS: Electrical engineering, electronic engineering, information engineering","FOS: Computer and information sciences","FOS: Computer and information sciences"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.48550/arxiv.2404.00954","addedAt":"2026-08-31T06:39:59.809Z","updatedAt":"2026-08-31T06:39:59.809Z"},{"id":"doi:10.60692/g5bj3-xfp39","name":"Unmanned aerial vehicle‐aided edge networks with ultra‐reliable low‐latency communications: A digital twin approach","source":"datacite","abstract":"IET Signal ProcessingEarly View ORIGINAL RESEARCHOpen Access Unmanned aerial vehicle-aided edge networks with ultra-reliable low-latency communications: A digital twin approach Yijiu Li, Yijiu Li School of Electronics, Electrical Engineering and Computer Science, Queen's University Belfast, Belfast, UKSearch for more papers by this authorDang Van Huynh, Dang Van Huynh orcid.org/0000-0002-2314-4934 School of Electronics, Electrical Engineering and Computer Science, Queen's University Belfast, Belfast, UKSearch for more papers by this authorTan Do-Duy, Tan Do-Duy Department of Computer and Communications Engineering, HCMC University of Technology and Education, Hochiminh, VietnamSearch for more papers by this authorEmi Garcia-Palacios, Emi Garcia-Palacios School of Electronics, Electrical Engineering and Computer Science, Queen's University Belfast, Belfast, UKSearch for more papers by this authorTrung Q. Duong, Corresponding Author Trung Q. Duong trung.q.duong@qub.ac.uk orcid.org/0000-0002-4703-4836 School of Electronics, Electrical Engineering and Computer Science, Queen's University Belfast, Belfast, UK Correspondence Trung Q. Duong, School of Electronics, Electrical Engineering and Computer Science, Queen's University Belfast, Queen's Road, Belfast BT7 1NN, UK. Email: trung.q.duong@qub.ac.ukSearch for more papers by this author Yijiu Li, Yijiu Li School of Electronics, Electrical Engineering and Computer Science, Queen's University Belfast, Belfast, UKSearch for more papers by this authorDang Van Huynh, Dang Van Huynh orcid.org/0000-0002-2314-4934 School of Electronics, Electrical Engineering and Computer Science, Queen's University Belfast, Belfast, UKSearch for more papers by this authorTan Do-Duy, Tan Do-Duy Department of Computer and Communications Engineering, HCMC University of Technology and Education, Hochiminh, VietnamSearch for more papers by this authorEmi Garcia-Palacios, Emi Garcia-Palacios School of Electronics, Electrical Engineering and Computer Science, Queen's University Belfast, Belfast, UKSearch for more papers by this authorTrung Q. Duong, Corresponding Author Trung Q. Duong trung.q.duong@qub.ac.uk orcid.org/0000-0002-4703-4836 School of Electronics, Electrical Engineering and Computer Science, Queen's University Belfast, Belfast, UK Correspondence Trung Q. Duong, School of Electronics, Electrical Engineering and Computer Science, Queen's University Belfast, Queen's Road, Belfast BT7 1NN, UK. Email: trung.q.duong@qub.ac.ukSearch for more papers by this author First published: 25 April 2022 https://doi.org/10.1049/sil2.12128 This paper has been accepted in part for presentation in the first International Conference on 6G Networking (6GNet 2022) to be held on July 06-08, 2022 in Paris, France [ 1]. AboutSectionsPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onFacebookTwitterLinked InRedditWechat Abstract A digital twin (DT) framework for Internet-of-thing (IoT) networks is proposed where unmanned aerial vehicles (UAVs) acting as flying mobile edge computing (MEC) servers support the task offloading on the fly. The considered DT model is very well suitable for industrial automation with the strict constraints of mission-critical services' ultra-reliable low-latency communication (URLLC) links. To support low-latency IoT devices, we formulate the end-to-end (e2e) latency minimisation problem of digital twin-aided offloading UAV-URLLC. Specifically, the minimised latency is obtained by jointly optimising both communication and computation parameters, namely power, offloading factors, and the proc","url":"https://doi.org/10.60692/g5bj3-xfp39","authors":["Yijiu Li","Dang Van Huynh","Tan Do‐Duy","Emiliano Garcia‐Palacios","Trung Q. Duong"],"tags":["Unmanned Aerial Vehicle Communications","Aerospace Engineering","FOS: Mechanical engineering","Engineering","Physical Sciences","Intelligent Reflecting Surfaces in Wireless Communications","Electrical and Electronic Engineering","FOS: Electrical engineering, electronic engineering, information engineering"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2022","doi":"10.60692/g5bj3-xfp39","addedAt":"2026-08-31T06:39:59.809Z","updatedAt":"2026-08-31T06:39:59.809Z"},{"id":"doi:10.60692/6gpew-3n997","name":"Unmanned aerial vehicle‐aided edge networks with ultra‐reliable low‐latency communications: A digital twin approach","source":"datacite","abstract":"IET Signal ProcessingEarly View ORIGINAL RESEARCHOpen Access Unmanned aerial vehicle-aided edge networks with ultra-reliable low-latency communications: A digital twin approach Yijiu Li, Yijiu Li School of Electronics, Electrical Engineering and Computer Science, Queen's University Belfast, Belfast, UKSearch for more papers by this authorDang Van Huynh, Dang Van Huynh orcid.org/0000-0002-2314-4934 School of Electronics, Electrical Engineering and Computer Science, Queen's University Belfast, Belfast, UKSearch for more papers by this authorTan Do-Duy, Tan Do-Duy Department of Computer and Communications Engineering, HCMC University of Technology and Education, Hochiminh, VietnamSearch for more papers by this authorEmi Garcia-Palacios, Emi Garcia-Palacios School of Electronics, Electrical Engineering and Computer Science, Queen's University Belfast, Belfast, UKSearch for more papers by this authorTrung Q. Duong, Corresponding Author Trung Q. Duong trung.q.duong@qub.ac.uk orcid.org/0000-0002-4703-4836 School of Electronics, Electrical Engineering and Computer Science, Queen's University Belfast, Belfast, UK Correspondence Trung Q. Duong, School of Electronics, Electrical Engineering and Computer Science, Queen's University Belfast, Queen's Road, Belfast BT7 1NN, UK. Email: trung.q.duong@qub.ac.ukSearch for more papers by this author Yijiu Li, Yijiu Li School of Electronics, Electrical Engineering and Computer Science, Queen's University Belfast, Belfast, UKSearch for more papers by this authorDang Van Huynh, Dang Van Huynh orcid.org/0000-0002-2314-4934 School of Electronics, Electrical Engineering and Computer Science, Queen's University Belfast, Belfast, UKSearch for more papers by this authorTan Do-Duy, Tan Do-Duy Department of Computer and Communications Engineering, HCMC University of Technology and Education, Hochiminh, VietnamSearch for more papers by this authorEmi Garcia-Palacios, Emi Garcia-Palacios School of Electronics, Electrical Engineering and Computer Science, Queen's University Belfast, Belfast, UKSearch for more papers by this authorTrung Q. Duong, Corresponding Author Trung Q. Duong trung.q.duong@qub.ac.uk orcid.org/0000-0002-4703-4836 School of Electronics, Electrical Engineering and Computer Science, Queen's University Belfast, Belfast, UK Correspondence Trung Q. Duong, School of Electronics, Electrical Engineering and Computer Science, Queen's University Belfast, Queen's Road, Belfast BT7 1NN, UK. Email: trung.q.duong@qub.ac.ukSearch for more papers by this author First published: 25 April 2022 https://doi.org/10.1049/sil2.12128 This paper has been accepted in part for presentation in the first International Conference on 6G Networking (6GNet 2022) to be held on July 06-08, 2022 in Paris, France [ 1]. AboutSectionsPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onFacebookTwitterLinked InRedditWechat Abstract A digital twin (DT) framework for Internet-of-thing (IoT) networks is proposed where unmanned aerial vehicles (UAVs) acting as flying mobile edge computing (MEC) servers support the task offloading on the fly. The considered DT model is very well suitable for industrial automation with the strict constraints of mission-critical services' ultra-reliable low-latency communication (URLLC) links. To support low-latency IoT devices, we formulate the end-to-end (e2e) latency minimisation problem of digital twin-aided offloading UAV-URLLC. Specifically, the minimised latency is obtained by jointly optimising both communication and computation parameters, namely power, offloading factors, and the proc","url":"https://doi.org/10.60692/6gpew-3n997","authors":["Yijiu Li","Dang Van Huynh","Tan Do‐Duy","Emiliano Garcia‐Palacios","Trung Q. Duong"],"tags":["Unmanned Aerial Vehicle Communications","Aerospace Engineering","FOS: Mechanical engineering","Engineering","Physical Sciences","Intelligent Reflecting Surfaces in Wireless Communications","Electrical and Electronic Engineering","FOS: Electrical engineering, electronic engineering, information engineering"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2022","doi":"10.60692/6gpew-3n997","addedAt":"2026-08-31T06:39:59.809Z","updatedAt":"2026-08-31T06:39:59.809Z"},{"id":"doi:10.60692/kq42r-w5924","name":"Landscape Ecology and Epidemiology of Malaria Associated with Rubber Plantations in Thailand: Integrated Approaches to Malaria Ecotoping","source":"datacite","abstract":"The agricultural land use changes that are human-induced changes in agroforestry ecosystems and in physical environmental conditions contribute substantially to the potential risks for malaria transmission in receptive areas. Due to the pattern and extent of land use change, the risks or negatively ecosystemic outcomes are the results of the dynamics of malaria transmission, the susceptibility of human populations, and the geographical distribution of malaria vectors. This review focused basically on what are the potential effects of agricultural land use change as a result of the expansion of rubber plantations in Thailand and how significant the ecotopes of malaria-associated rubber plantations (MRP) are. More profoundly, this review synthesized the novel concepts and perspectives on applied landscape ecology and epidemiology of malaria, as well as approaches to determine the degree to which an MRP ecotope as fundamental landscape scale can establish malaria infection pocket(s). Malaria ecotoping encompasses the integrated approaches and tools applied to or used in modeling malaria transmission. The scalability of MRP ecotope depends upon its unique landscape structure as it is geographically associated with the infestation or reinfestation of Anopheles vectors, along with the attributes that are epidemiologically linked with the infections. The MRP ecotope can be depicted as the hotspot such that malaria transmission is modeled upon the MRP factors underlying human settlements and movement activities, health behaviors, land use/land cover change, malaria vector population dynamics, and agrienvironmental and climatic conditions. The systemic and uniform approaches to malaria ecotoping underpin the stratification of the potential risks for malaria transmission by making use of remotely sensed satellite imagery or landscape aerial photography using unmanned aerial vehicle (UAV), global positioning systems (GPS), and geographical information systems (GIS).","url":"https://doi.org/10.60692/kq42r-w5924","authors":["Wuthichai Kaewwaen","Amaret Bhumiratana"],"tags":["Malaria","Public Health, Environmental and Occupational Health","Medicine","Health Sciences","Global Impact of Arboviral Diseases","Viral Hemorrhagic Fevers and Zoonotic Infections","Infectious Diseases","FOS: Health sciences"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2015","doi":"10.60692/kq42r-w5924","addedAt":"2026-08-31T06:39:59.809Z","updatedAt":"2026-08-31T06:39:59.809Z"},{"id":"doi:10.60692/91f6n-0n657","name":"Landscape Ecology and Epidemiology of Malaria Associated with Rubber Plantations in Thailand: Integrated Approaches to Malaria Ecotoping","source":"datacite","abstract":"The agricultural land use changes that are human-induced changes in agroforestry ecosystems and in physical environmental conditions contribute substantially to the potential risks for malaria transmission in receptive areas. Due to the pattern and extent of land use change, the risks or negatively ecosystemic outcomes are the results of the dynamics of malaria transmission, the susceptibility of human populations, and the geographical distribution of malaria vectors. This review focused basically on what are the potential effects of agricultural land use change as a result of the expansion of rubber plantations in Thailand and how significant the ecotopes of malaria-associated rubber plantations (MRP) are. More profoundly, this review synthesized the novel concepts and perspectives on applied landscape ecology and epidemiology of malaria, as well as approaches to determine the degree to which an MRP ecotope as fundamental landscape scale can establish malaria infection pocket(s). Malaria ecotoping encompasses the integrated approaches and tools applied to or used in modeling malaria transmission. The scalability of MRP ecotope depends upon its unique landscape structure as it is geographically associated with the infestation or reinfestation of Anopheles vectors, along with the attributes that are epidemiologically linked with the infections. The MRP ecotope can be depicted as the hotspot such that malaria transmission is modeled upon the MRP factors underlying human settlements and movement activities, health behaviors, land use/land cover change, malaria vector population dynamics, and agrienvironmental and climatic conditions. The systemic and uniform approaches to malaria ecotoping underpin the stratification of the potential risks for malaria transmission by making use of remotely sensed satellite imagery or landscape aerial photography using unmanned aerial vehicle (UAV), global positioning systems (GPS), and geographical information systems (GIS).","url":"https://doi.org/10.60692/91f6n-0n657","authors":["Wuthichai Kaewwaen","Amaret Bhumiratana"],"tags":["Malaria","Public Health, Environmental and Occupational Health","Medicine","Health Sciences","Global Impact of Arboviral Diseases","Viral Hemorrhagic Fevers and Zoonotic Infections","Infectious Diseases","FOS: Health sciences"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2015","doi":"10.60692/91f6n-0n657","addedAt":"2026-08-31T06:39:59.809Z","updatedAt":"2026-08-31T06:39:59.809Z"},{"id":"doi:10.60692/1n40f-0gn03","name":"Formation control of multiple unmanned vehicles based on graph theory: A Comprehensive Review","source":"datacite","abstract":"In recent years, formation control for multiple unmanned vehicles becomes an active research topic that has received a lot of attention from scientists due to its superior advantages compared with other conventional systems. Algebraic graph and graph rigidity theories are the two main mathematical backgrounds of the formation control theory. The graph theory is used to describe the interconnections among vehicles in formation while rigid graph theory - an important subset of graph theory - ensured that the inter-vehicle distance constraints of the desired formation are enforced via the graph rigidity. This paper provides a comprehensive review of graph theory supporting formation control for groups of unmanned aerial vehicles (UAV) or swarm UAVs. The background of the theory and the recent developments of graph-theory-based formation control are reviewed. We provide a cohesive overview of the formation control and coordination of multiple vehicles. Finally, some challenges and future potential directions in formation control are discussed.","url":"https://doi.org/10.60692/1n40f-0gn03","authors":["Hai Do","Hoa Van Nguyen","Cuong V. Nguyen","Mui Van Nguyen","Minh T. Nguyen"],"tags":["Distributed Multi-Agent Coordination and Control","Computer Networks and Communications","Computer Science","Physical Sciences","Delay-Tolerant Networking in Mobile Ad Hoc Networks","Ad Hoc Wireless Networks Research","Formation Control","Topology Control"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2022","doi":"10.60692/1n40f-0gn03","addedAt":"2026-08-31T06:39:59.809Z","updatedAt":"2026-08-31T06:39:59.809Z"},{"id":"doi:10.60692/6t4gs-ya651","name":"Formation control of multiple unmanned vehicles based on graph theory: A Comprehensive Review","source":"datacite","abstract":"In recent years, formation control for multiple unmanned vehicles becomes an active research topic that has received a lot of attention from scientists due to its superior advantages compared with other conventional systems. Algebraic graph and graph rigidity theories are the two main mathematical backgrounds of the formation control theory. The graph theory is used to describe the interconnections among vehicles in formation while rigid graph theory - an important subset of graph theory - ensured that the inter-vehicle distance constraints of the desired formation are enforced via the graph rigidity. This paper provides a comprehensive review of graph theory supporting formation control for groups of unmanned aerial vehicles (UAV) or swarm UAVs. The background of the theory and the recent developments of graph-theory-based formation control are reviewed. We provide a cohesive overview of the formation control and coordination of multiple vehicles. Finally, some challenges and future potential directions in formation control are discussed.","url":"https://doi.org/10.60692/6t4gs-ya651","authors":["Hai Do","Hoa Van Nguyen","Cuong V. Nguyen","Mui Van Nguyen","Minh T. Nguyen"],"tags":["Distributed Multi-Agent Coordination and Control","Computer Networks and Communications","Computer Science","Physical Sciences","Delay-Tolerant Networking in Mobile Ad Hoc Networks","Ad Hoc Wireless Networks Research","Formation Control","Topology Control"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2022","doi":"10.60692/6t4gs-ya651","addedAt":"2026-08-31T06:39:59.809Z","updatedAt":"2026-08-31T06:39:59.809Z"},{"id":"doi:10.18720/spbpu/3/2024/vr/vr24-2467","name":"Оптимизация маршрутов передвижения Ð±ÐµÑÐ¿Ð¸Ð»Ð¾Ñ‚Ð½Ñ‹Ñ Ð»ÐµÑ‚Ð°Ñ‚ÐµÐ»ÑŒÐ½Ñ‹Ñ Ð°Ð¿Ð¿Ð°Ñ€Ð°Ñ‚Ð¾Ð²","source":"datacite","abstract":"Тема выпускной квалификационной работы: «Оптимизация маршрутов передвижения беспилотного летательного аппарата». Данная работа посвящена разбору методов решения задачи коммивояжера, их анализу, выбору оптимального метода и составлению программного приложения для формирования маршрута при заданных координатах. Задачи, которые решались в ходе исследования: 1) Обзор современного использования беспилотных летательных аппаратов. 2) Постановка и описание задачи коммивояжера; 3) Приведение и обзор четырех существующих методов решения задачи коммивояжера (метод полного перебора, метод ближайшего соседа, генетический алгоритм и жадный алгоритм); 4) Сравнение и анализ методов построения оптимального маршрута; 5) Разработка программного приложения, реализующего методы решения задачи коммивояжёра. В ходе выполнения работы были рассмотрены и проанализированы четыре различных метода решения задачи коммивояжера: метод полного перебора, алгоритм муравья, метод ближайшего соседа и генетический алгоритм. Проведен сравнительный анализ методов с целью определить наиболее эффективный и оптимальный для формирования оптимального маршрута. Результаты сравнительного анализа подтвердили, что метод ближайшего соседа является наиболее точным и быстрым, обеспечивая оптимальное построение маршрута. На основе полученных результатов было разработано и реализовано программное приложение, предназначенное для формирования оптимального маршрута беспилотного летательного аппарата (БПЛА) в рамках поисково-спасательных операций при заданных координатах. Разработанное программное приложение успешно выполняет вычисление оптимального маршрута и предоставляет информацию о его длине. Кроме того, оно также позволяет сохранять HTML-карту с построенным маршрутом, что обеспечивает визуализацию и удобный доступ к результатам.","url":"https://doi.org/10.18720/spbpu/3/2024/vr/vr24-2467","authors":["Ли, Аркадий"],"tags":["задача коммивояжера","метод полного перебора","метод ближайшего соседа","генетический алгоритм","алгоритм муравья","traveling salesman problem","complete search method","nearest neighbor method"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.18720/spbpu/3/2024/vr/vr24-2467","addedAt":"2026-08-31T06:39:59.809Z","updatedAt":"2026-08-31T06:39:59.809Z"},{"id":"doi:10.60692/c9218-5h497","name":"Comparative analysis on digital surface model of urban area from Sentinel-1 SAR interferometry and aerial photogrammetry for disaster mitigation plan","source":"datacite","abstract":"This paper presents an effort to evaluate the generated digital elevation model (DEM) from an active sensor onboard satellite of Sentinel-1A and from aerial photos taken using an unmanned aerial vehicle (UAV). The objective is to compare the quality of generated DEM and review the processes for disaster mitigation and prevention plans application. The radar data acquisition used in this study is pair of SLC-type radar data. The interferogram is processed from the coherence and the phase of complex data of the pair radar imageries. Meanwhile, aerial photography was taken within the smaller urban area in Padang City. The photogrammetry process to generate the DEM was conducted using the structure from motion (SfM) technique. The quality and procedures are reviewed by comparing the DEM products with other publicly available DEM data from DEMNAS, SRTM, and AW3D. This study found that generating the DEM from Sentinel-1 interferometry SAR is a challenging process. The product is unmatched and has lower quality compared to available DEM data due to several identified factors. In contrast, high computational cost photogrammetry produced good quality DEM if sufficient ground control points (GCP) were set.","url":"https://doi.org/10.60692/c9218-5h497","authors":["Fathoni Usman","NANDA NANDA","Rita Nasmirayanti","Josapath Tetuko Sri Sumantyo"],"tags":["Synthetic Aperture Radar Interferometry","Aerospace Engineering","FOS: Mechanical engineering","Engineering","Physical Sciences","3D Geospatial Modelling Techniques","Geology","FOS: Earth and related environmental sciences"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2021","doi":"10.60692/c9218-5h497","addedAt":"2026-08-31T06:39:59.809Z","updatedAt":"2026-08-31T06:39:59.809Z"},{"id":"doi:10.60692/vjyby-zxp18","name":"Comparative analysis on digital surface model of urban area from Sentinel-1 SAR interferometry and aerial photogrammetry for disaster mitigation plan","source":"datacite","abstract":"This paper presents an effort to evaluate the generated digital elevation model (DEM) from an active sensor onboard satellite of Sentinel-1A and from aerial photos taken using an unmanned aerial vehicle (UAV). The objective is to compare the quality of generated DEM and review the processes for disaster mitigation and prevention plans application. The radar data acquisition used in this study is pair of SLC-type radar data. The interferogram is processed from the coherence and the phase of complex data of the pair radar imageries. Meanwhile, aerial photography was taken within the smaller urban area in Padang City. The photogrammetry process to generate the DEM was conducted using the structure from motion (SfM) technique. The quality and procedures are reviewed by comparing the DEM products with other publicly available DEM data from DEMNAS, SRTM, and AW3D. This study found that generating the DEM from Sentinel-1 interferometry SAR is a challenging process. The product is unmatched and has lower quality compared to available DEM data due to several identified factors. In contrast, high computational cost photogrammetry produced good quality DEM if sufficient ground control points (GCP) were set.","url":"https://doi.org/10.60692/vjyby-zxp18","authors":["Fathoni Usman","NANDA NANDA","Rita Nasmirayanti","Josapath Tetuko Sri Sumantyo"],"tags":["Synthetic Aperture Radar Interferometry","Aerospace Engineering","FOS: Mechanical engineering","Engineering","Physical Sciences","3D Geospatial Modelling Techniques","Geology","FOS: Earth and related environmental sciences"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2021","doi":"10.60692/vjyby-zxp18","addedAt":"2026-08-31T06:39:59.809Z","updatedAt":"2026-08-31T06:39:59.809Z"},{"id":"doi:10.60692/xcn6t-d6741","name":"Involvement of Surveillance Drones in Smart Cities: A Systematic Review","source":"datacite","abstract":"Drones, or Unmanned Aerial Vehicles (UAVs), are among the most beneficial and emerging technologies, with a wide range of applications that can support the sustainability concerns of smart cities and ultimately improve citizens' quality of life.The goals of this systematic review were to explore the involvement of surveillance drones in smart cities in terms of application status, application areas, proposed models, and characteristics of drones.We conducted this systematic review based on the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines.We systematically searched the Web of Science and Scopus for journal articles and conference papers written in English and published up to August 2021.Of the 323 records identified, 43 met the inclusion criteria.Findings showed that surveillance drones were used in seven distinct research fields (transportation, environment, infrastructure, object or people detection, disaster management, data collection, and other applications).Air pollution and traffic monitoring were the dominant application areas.The majority of reviewed models were based on the application of rotary-wing single-drones with the camera as the aerial sensor.Reviewed models showed that the adoption of a single or multiple UAVs, either as a stand-alone technology or integrated with other technologies (e.g., internet of things, wireless sensor networks, convolutional neural networks, artificial intelligence, machine learning, computer vision, cloud computing, web applications), can offer efficient and sustainable solutions compared to conventional surveillance methods.This review can benefit academic researchers and practitioners.","url":"https://doi.org/10.60692/xcn6t-d6741","authors":["Adel Gohari","Anuar Ahmad","Ruzairi Bin Abdul Rahim","Abu Sahmah M. Supa׳at","Shukor Abd Razak","Mohammed S. M. Gismalla"],"tags":["Unmanned Aerial Vehicle Communications","Aerospace Engineering","FOS: Mechanical engineering","Engineering","Physical Sciences","Visual Object Tracking and Person Re-identification","Computer Vision and Pattern Recognition","Computer Science"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2022","doi":"10.60692/xcn6t-d6741","addedAt":"2026-08-31T06:39:59.809Z","updatedAt":"2026-08-31T06:39:59.809Z"},{"id":"doi:10.60692/r33x0-akf92","name":"Involvement of Surveillance Drones in Smart Cities: A Systematic Review","source":"datacite","abstract":"Drones, or Unmanned Aerial Vehicles (UAVs), are among the most beneficial and emerging technologies, with a wide range of applications that can support the sustainability concerns of smart cities and ultimately improve citizens' quality of life.The goals of this systematic review were to explore the involvement of surveillance drones in smart cities in terms of application status, application areas, proposed models, and characteristics of drones.We conducted this systematic review based on the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines.We systematically searched the Web of Science and Scopus for journal articles and conference papers written in English and published up to August 2021.Of the 323 records identified, 43 met the inclusion criteria.Findings showed that surveillance drones were used in seven distinct research fields (transportation, environment, infrastructure, object or people detection, disaster management, data collection, and other applications).Air pollution and traffic monitoring were the dominant application areas.The majority of reviewed models were based on the application of rotary-wing single-drones with the camera as the aerial sensor.Reviewed models showed that the adoption of a single or multiple UAVs, either as a stand-alone technology or integrated with other technologies (e.g., internet of things, wireless sensor networks, convolutional neural networks, artificial intelligence, machine learning, computer vision, cloud computing, web applications), can offer efficient and sustainable solutions compared to conventional surveillance methods.This review can benefit academic researchers and practitioners.","url":"https://doi.org/10.60692/r33x0-akf92","authors":["Adel Gohari","Anuar Ahmad","Ruzairi Bin Abdul Rahim","Abu Sahmah M. Supa׳at","Shukor Abd Razak","Mohammed S. M. Gismalla"],"tags":["Unmanned Aerial Vehicle Communications","Aerospace Engineering","FOS: Mechanical engineering","Engineering","Physical Sciences","Visual Object Tracking and Person Re-identification","Computer Vision and Pattern Recognition","Computer Science"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2022","doi":"10.60692/r33x0-akf92","addedAt":"2026-08-31T06:39:59.809Z","updatedAt":"2026-08-31T06:39:59.809Z"},{"id":"doi:10.60692/9yvr5-c4m81","name":"Geomatic tools used in the management of agricultural activities: a systematic review","source":"datacite","abstract":"Abstract Managing agricultural activity encompasses technology, geographic information, spatial data and geomatic tools as support techniques. In this framework, agricultural mapping is an essential geomatic application due to its importance in managing food systems. This research aims to analyze the state of knowledge of geomatics tools and their applications in agriculture through a systematic review of scientific documents and methodological approaches, highlighting the use of geomatics in agricultural mapping to evaluate trends in agriculture management. The study methodology consists of a scientific base of publications on geomatics and its applications in sustainable agriculture, with a quantitative analysis of production and its approaches. Subsequently, PRISMA establishes a systematic review in search of the subject's methods, applications and trends. The results show that of the total data analyzed, 60% corresponds to general agricultural mapping for crop/water/soil mapping using satellite images. Twenty percent for land use and coverage, considering the georeferencing that contributes to agricultural territorial planning. Nine percent consider geomatic key for agricultural cadastre (plot management). In addition, 6% corresponds to precision agriculture and 5% to watershed management. The most predominant geomatics tools are: Geographic Information System (GIS), Global Positioning System (GPS), unmanned aerial vehicle (UAV) and remote sensing (RS). Also, among the most used geomatic techniques in agricultural cartography, photogrammetry in crop phenology and multispectral analysis in the optimisation and monitoring of agricultural production stand out. Studies show that the geomatic application promotes sustainability practices such as crop rotation, seeds dispersed and germinated by animals, agricultural irrigation through rivers/basins/streams, family gardens and generation of employment sources. The geomatics use is of great utility/potential for the acquisition and generation of geospatial data accurately, with time and cost savings that contribute to the decision-making of city councils, public cadastral administrations, enterprises, educational institutions and agricultural foundations.","url":"https://doi.org/10.60692/9yvr5-c4m81","authors":["Paulo Escandón-Panchana","Sandra Martínez-Cuevas","María Jaya-Montalvo","Gricelda Herrera-Franco"],"tags":["Land-Use Suitability Assessment Using GIS","Management, Monitoring, Policy and Law","Environmental Science","Physical Sciences","Soil Evaluation","Agricultural Land Use","Geomatics","Agriculture"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.60692/9yvr5-c4m81","addedAt":"2026-08-31T06:39:59.809Z","updatedAt":"2026-08-31T06:39:59.809Z"},{"id":"doi:10.60692/v1sdm-tjt39","name":"Geomatic tools used in the management of agricultural activities: a systematic review","source":"datacite","abstract":"Abstract Managing agricultural activity encompasses technology, geographic information, spatial data and geomatic tools as support techniques. In this framework, agricultural mapping is an essential geomatic application due to its importance in managing food systems. This research aims to analyze the state of knowledge of geomatics tools and their applications in agriculture through a systematic review of scientific documents and methodological approaches, highlighting the use of geomatics in agricultural mapping to evaluate trends in agriculture management. The study methodology consists of a scientific base of publications on geomatics and its applications in sustainable agriculture, with a quantitative analysis of production and its approaches. Subsequently, PRISMA establishes a systematic review in search of the subject's methods, applications and trends. The results show that of the total data analyzed, 60% corresponds to general agricultural mapping for crop/water/soil mapping using satellite images. Twenty percent for land use and coverage, considering the georeferencing that contributes to agricultural territorial planning. Nine percent consider geomatic key for agricultural cadastre (plot management). In addition, 6% corresponds to precision agriculture and 5% to watershed management. The most predominant geomatics tools are: Geographic Information System (GIS), Global Positioning System (GPS), unmanned aerial vehicle (UAV) and remote sensing (RS). Also, among the most used geomatic techniques in agricultural cartography, photogrammetry in crop phenology and multispectral analysis in the optimisation and monitoring of agricultural production stand out. Studies show that the geomatic application promotes sustainability practices such as crop rotation, seeds dispersed and germinated by animals, agricultural irrigation through rivers/basins/streams, family gardens and generation of employment sources. The geomatics use is of great utility/potential for the acquisition and generation of geospatial data accurately, with time and cost savings that contribute to the decision-making of city councils, public cadastral administrations, enterprises, educational institutions and agricultural foundations.","url":"https://doi.org/10.60692/v1sdm-tjt39","authors":["Paulo Escandón-Panchana","Sandra Martínez-Cuevas","María Jaya-Montalvo","Gricelda Herrera-Franco"],"tags":["Land-Use Suitability Assessment Using GIS","Management, Monitoring, Policy and Law","Environmental Science","Physical Sciences","Soil Evaluation","Agricultural Land Use","Geomatics","Agriculture"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.60692/v1sdm-tjt39","addedAt":"2026-08-31T06:39:59.809Z","updatedAt":"2026-08-31T06:39:59.809Z"},{"id":"doi:10.60692/g09x6-wrx54","name":"State-of-the-Art Review on Recent Advancements on Lateral Control of Autonomous Vehicles","source":"datacite","abstract":"The most well-known research on driverless vehicles at the moment is connected autonomous vehicles (CAVs), which reflects the future path for the self driving field. The development of connected autonomous vehicles (CAVs) is not only increasing logistics operations, but it is also opening up new possibilities for the industry's sustainable growth. In this review, we will explore the cloud-controlled wireless network-based model of cyber physical aspect of the autonomous vehicle, which is coupled with unmanned aerial vehicles (UAVs). Additionally, this model is Internet of Things (IoT) managed and AI-based, with a blockchain-based security mechanism. Additionally, we'll focus on lateral control in autonomous driving, particularly the lane change maneuver, taking social behavior into account. Here, we briefly reviewed Vehicle-to-Everything (V2X) communication, which is carried out by on-board sensors and connected wireless medium that enhance the lane departure processes while retaining human driver behavior relying on obstacle avoidance.","url":"https://doi.org/10.60692/g09x6-wrx54","authors":["Archishman Biswas","M. A. Obayed Reon","Prangon Das","Zinat Tasneem","S. M. Muyeen","Sajal K. Das","Faisal R. Badal","Subrata Sarker","Md Mehedi Hassan","Sarafat Hussain Abhi","Md. Robiul Islam","Mohamad Wijayanuddin Ali","Md. Hafiz Ahamed","Md. Manirul Islam"],"tags":["Autonomous Vehicle Technology and Safety Systems","Automotive Engineering","FOS: Mechanical engineering","Engineering","Physical Sciences","Vehicular Ad Hoc Networks and Communications","Electrical and Electronic Engineering","FOS: Electrical engineering, electronic engineering, information engineering"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2022","doi":"10.60692/g09x6-wrx54","addedAt":"2026-08-31T06:39:59.809Z","updatedAt":"2026-08-31T06:39:59.809Z"},{"id":"doi:10.60692/47xqs-tmy51","name":"State-of-the-Art Review on Recent Advancements on Lateral Control of Autonomous Vehicles","source":"datacite","abstract":"The most well-known research on driverless vehicles at the moment is connected autonomous vehicles (CAVs), which reflects the future path for the self driving field. The development of connected autonomous vehicles (CAVs) is not only increasing logistics operations, but it is also opening up new possibilities for the industry's sustainable growth. In this review, we will explore the cloud-controlled wireless network-based model of cyber physical aspect of the autonomous vehicle, which is coupled with unmanned aerial vehicles (UAVs). Additionally, this model is Internet of Things (IoT) managed and AI-based, with a blockchain-based security mechanism. Additionally, we'll focus on lateral control in autonomous driving, particularly the lane change maneuver, taking social behavior into account. Here, we briefly reviewed Vehicle-to-Everything (V2X) communication, which is carried out by on-board sensors and connected wireless medium that enhance the lane departure processes while retaining human driver behavior relying on obstacle avoidance.","url":"https://doi.org/10.60692/47xqs-tmy51","authors":["Archishman Biswas","M. A. Obayed Reon","Prangon Das","Zinat Tasneem","S. M. Muyeen","Sajal K. Das","Faisal R. Badal","Subrata Sarker","Md Mehedi Hassan","Sarafat Hussain Abhi","Md. Robiul Islam","Mohamad Wijayanuddin Ali","Md. Hafiz Ahamed","Md. Manirul Islam"],"tags":["Autonomous Vehicle Technology and Safety Systems","Automotive Engineering","FOS: Mechanical engineering","Engineering","Physical Sciences","Vehicular Ad Hoc Networks and Communications","Electrical and Electronic Engineering","FOS: Electrical engineering, electronic engineering, information engineering"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2022","doi":"10.60692/47xqs-tmy51","addedAt":"2026-08-31T06:39:59.809Z","updatedAt":"2026-08-31T06:39:59.809Z"},{"id":"doi:10.60692/dp91t-mfq84","name":"Review on Unmanned Aerial Vehicle Assisted Sensor Node Localization in Wireless Networks: Soft Computing Approaches","source":"datacite","abstract":"Node positioning or localization is a critical requisite for numerous position-based applications of wireless sensor network (WSN).Localization using the unmanned aerial vehicle (UAV) is preferred over localization using fixed terrestrial anchor node (FTAN) because of low implementation complexity and high accuracy.The conventional multilateration technique estimates the position of the unknown node (UN) based on the distance from the anchor node (AN) to UN that is obtained from the received signal strength (RSS) measurement.However, distortions in the propagation medium may yield incorrect distance measurement and as a result, the accuracy of RSS-multilateration is limited.Though the optimization based localization schemes are considered to be a better alternative, the performance of these schemes is not satisfactory if the distortions are non-linear.In such situations, the neural network (NN) architecture such as extreme learning machine (ELM) can be a better choice as it is a highly non-linear classifier.The ELM is even superior over its counterpart NN classifiers like multilayer perceptron (MLP) and radial basis function (RBF) due to its fast and strong learning ability.Thus, this paper provides a comparative review of various soft computing based localization techniques using both FTAN and aerial ANs for better acceptability.","url":"https://doi.org/10.60692/dp91t-mfq84","authors":["Visalakshi Annepu","Deepika Rani Sona","Ravikumar Chinthaginjala","Kalapraveen Bagadi","Mohammad Alibakhshikenari","Ayman A. Althuwayb","Bader Alali","Bal S. Virdee","Giovanni Pau","Iyad Dayoub","Chan Hwang See","Francisco Falcone"],"tags":["Wireless Indoor Localization Techniques and Systems","Electrical and Electronic Engineering","FOS: Electrical engineering, electronic engineering, information engineering","Engineering","Physical Sciences","Underwater Acoustic Sensor Networks and Communication","Ocean Engineering","Theory and Applications of Extreme Learning Machines"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2022","doi":"10.60692/dp91t-mfq84","addedAt":"2026-08-31T06:39:59.809Z","updatedAt":"2026-08-31T06:39:59.809Z"},{"id":"doi:10.60692/jg1bx-e2d20","name":"Review on Unmanned Aerial Vehicle Assisted Sensor Node Localization in Wireless Networks: Soft Computing Approaches","source":"datacite","abstract":"Node positioning or localization is a critical requisite for numerous position-based applications of wireless sensor network (WSN).Localization using the unmanned aerial vehicle (UAV) is preferred over localization using fixed terrestrial anchor node (FTAN) because of low implementation complexity and high accuracy.The conventional multilateration technique estimates the position of the unknown node (UN) based on the distance from the anchor node (AN) to UN that is obtained from the received signal strength (RSS) measurement.However, distortions in the propagation medium may yield incorrect distance measurement and as a result, the accuracy of RSS-multilateration is limited.Though the optimization based localization schemes are considered to be a better alternative, the performance of these schemes is not satisfactory if the distortions are non-linear.In such situations, the neural network (NN) architecture such as extreme learning machine (ELM) can be a better choice as it is a highly non-linear classifier.The ELM is even superior over its counterpart NN classifiers like multilayer perceptron (MLP) and radial basis function (RBF) due to its fast and strong learning ability.Thus, this paper provides a comparative review of various soft computing based localization techniques using both FTAN and aerial ANs for better acceptability.","url":"https://doi.org/10.60692/jg1bx-e2d20","authors":["Visalakshi Annepu","Deepika Rani Sona","Ravikumar Chinthaginjala","Kalapraveen Bagadi","Mohammad Alibakhshikenari","Ayman A. Althuwayb","Bader Alali","Bal S. Virdee","Giovanni Pau","Iyad Dayoub","Chan Hwang See","Francisco Falcone"],"tags":["Wireless Indoor Localization Techniques and Systems","Electrical and Electronic Engineering","FOS: Electrical engineering, electronic engineering, information engineering","Engineering","Physical Sciences","Underwater Acoustic Sensor Networks and Communication","Ocean Engineering","Theory and Applications of Extreme Learning Machines"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2022","doi":"10.60692/jg1bx-e2d20","addedAt":"2026-08-31T06:39:59.809Z","updatedAt":"2026-08-31T06:39:59.809Z"},{"id":"doi:10.60692/fgyx5-bev95","name":"Ethical considerations related to drone use for environment and health research: A scoping review protocol","source":"datacite","abstract":"Introduction The use of drones in environment and health research is a relatively new phenomenon. A principal research activity drones are used for is environmental monitoring, which can raise concerns in local communities. Existing ethical guidance for researchers is often not specific to drone technology and practices vary between research settings. Therefore, this scoping review aims to gather the evidence available on ethical considerations surrounding drone use as perceived by local communities, ethical considerations reported on by researchers implementing drone research, and published ethical guidance related to drone deployment. Methods and analysis This scoping review will follow the Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for scoping reviews (PRISMA-ScR) and the Joanna Briggs Institute (JBI) guidelines. The literature search will be conducted using academic databases and grey literature sources. After pilot testing the inclusion criteria and data extraction tool, two researchers will double-screen and then chart available evidence independently. A content analysis will be carried out to identify patterns of categories or terms used to describe ethical considerations related to drone usage for environmental monitoring in the literature using the R Package RQDA. Discrepancies in any phase of the project will be solved through consensus between the two reviewers. If consensus cannot be reached, a third arbitrator will be consulted. Ethics and dissemination Ethical approval is not required; only secondary data will be used. This protocol is registered on the Open Science Framework ( osf.io/a78et ). The results will be disseminated through publication in a scientific journal and will be used to inform drone field campaigns in the Wellcome Trust funded HARMONIZE project. HARMONIZE aims to develop cost-effective and reproducible digital infrastructure for stakeholders in climate change hotspots in Latin America & the Caribbean and will use drone technology to collect data on fine scale landscape changes.","url":"https://doi.org/10.60692/fgyx5-bev95","authors":["Remy Hoek Spaans","Bruna Drumond","Kim Robin van Daalen","Ana Claudia Rorato Vitor","Alison Derbyshire","Adriano Da Silva","Raquel Martins Lana","Mauricio Santos Vega","Gabriel Carrasco-Escobar","Maria Isabel Sobral Escada","Cláudia Torres Codeço","Rachel Lowe"],"tags":["Unmanned Aerial Vehicle Communications","Aerospace Engineering","FOS: Mechanical engineering","Engineering","Physical Sciences","Impact of Climate Change on Human Migration","Sociology and Political Science","Social Sciences"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.60692/fgyx5-bev95","addedAt":"2026-08-31T06:39:59.809Z","updatedAt":"2026-08-31T06:39:59.809Z"},{"id":"doi:10.60692/831fc-06164","name":"Ethical considerations related to drone use for environment and health research: A scoping review protocol","source":"datacite","abstract":"Introduction The use of drones in environment and health research is a relatively new phenomenon. A principal research activity drones are used for is environmental monitoring, which can raise concerns in local communities. Existing ethical guidance for researchers is often not specific to drone technology and practices vary between research settings. Therefore, this scoping review aims to gather the evidence available on ethical considerations surrounding drone use as perceived by local communities, ethical considerations reported on by researchers implementing drone research, and published ethical guidance related to drone deployment. Methods and analysis This scoping review will follow the Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for scoping reviews (PRISMA-ScR) and the Joanna Briggs Institute (JBI) guidelines. The literature search will be conducted using academic databases and grey literature sources. After pilot testing the inclusion criteria and data extraction tool, two researchers will double-screen and then chart available evidence independently. A content analysis will be carried out to identify patterns of categories or terms used to describe ethical considerations related to drone usage for environmental monitoring in the literature using the R Package RQDA. Discrepancies in any phase of the project will be solved through consensus between the two reviewers. If consensus cannot be reached, a third arbitrator will be consulted. Ethics and dissemination Ethical approval is not required; only secondary data will be used. This protocol is registered on the Open Science Framework ( osf.io/a78et ). The results will be disseminated through publication in a scientific journal and will be used to inform drone field campaigns in the Wellcome Trust funded HARMONIZE project. HARMONIZE aims to develop cost-effective and reproducible digital infrastructure for stakeholders in climate change hotspots in Latin America & the Caribbean and will use drone technology to collect data on fine scale landscape changes.","url":"https://doi.org/10.60692/831fc-06164","authors":["Remy Hoek Spaans","Bruna Drumond","Kim Robin van Daalen","Ana Claudia Rorato Vitor","Alison Derbyshire","Adriano Da Silva","Raquel Martins Lana","Mauricio Santos Vega","Gabriel Carrasco-Escobar","Maria Isabel Sobral Escada","Cláudia Torres Codeço","Rachel Lowe"],"tags":["Unmanned Aerial Vehicle Communications","Aerospace Engineering","FOS: Mechanical engineering","Engineering","Physical Sciences","Impact of Climate Change on Human Migration","Sociology and Political Science","Social Sciences"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.60692/831fc-06164","addedAt":"2026-08-31T06:39:59.809Z","updatedAt":"2026-08-31T06:39:59.809Z"},{"id":"doi:10.60692/h83dp-sj008","name":"Guest editorial: Cellular Internet of UAVs for 5G and beyond","source":"datacite","abstract":"Emerging unmanned aerial vehicles (UAVs) are playing an increasingly important role in military, public, and civilian applications. More recently, UAVs have become a topic of central research interest in the wireless communication community. For example, the 3rd Generation Partnership Project (3GPP) standardisation body has recently worked on a study item to facilitate seamless integration of UAVs into future cellular networks, which is called the cellular Internet of UAVs. UAVs can be exploited in different ways to enhance cellular communications. On the one hand, dedicated UAVs can be used as airborne wireless access points or relay nodes to further improve terrestrial communications, which is referred to as UAV-assisted cellular communications. On the other hand, UAVs may be exploited for sensing purposes by leveraging their advantages such as on-demand deployment, larger service coverage compared with the conventional fixed sensor nodes, and flexible spatial network architecture. We refer to this category of UAV applications as cellular-assisted UAV sensing. Unlike terrestrial cellular networks, UAV communications have many distinctive features such as high dynamic network topologies and weakly connected communication links. Besides, they also suffer from some practical constraints such as battery power, no-fly zones, and sensing requirements. Therefore, it is essential to develop novel communication and signal-processing techniques in support of ultra-reliable and real-time sensing applications. This special issue aims to create a platform for researchers from both academia and industry to disseminate state-of-the-art results and to advance the integration of UAVs into cellular networks. In total, 12 excellent papers were accepted after a rigorous multi-round review process. These papers can be divided into two topics: UAV-assisted cellular communications and cellular-assisted UAV sensing. In the following, we will introduce these papers and highlight their contributions. In their survey paper 'A survey on unmanned aerial vehicle relaying networks', Li et al. comprehensively summarise UAV relaying communications, which is an important paradigm of UAV-assisted cellular communications, and introduce its application scenarios. Key challenges are presented and corresponding technologies to address these challenges are discussed. Furthermore, they also show the research opportunities of UAV relaying communications. Yuan et al., in their paper 'Interference coordination and throughput maximisation in an unmanned aerial vehicle-assisted cellular: User association and three-dimensional trajectory optimisation', consider a UAV as an aerial base station (BS) to serve ground users. To reduce the interference between the UAV and terrestrial BSs, they propose a joint user association and 3D trajectory optimisation method. An improved block successive upper-bound minimisation based penalty algorithm is proposed. In 'Age-optimal path planning for finite-battery UAV-assisted data dissemination in IoT networks', Changizi and Emadi consider using UAVs to assist wireless sensor networks to deliver information with the aim to explore the freshness of data. An UAV trajectory planning for data dissemination is proposed, taking into account both maximal use of energy and the freshness of data. The effect of limited energy for UAVs is also discussed. In 'metaheuristic-based optimal 3D positioning of UAVs forming aerial mesh network to provide emergency communication services', Gupta and Varma study the optimal placement of UAVs to facilitate post-disaster emergency communication services. Coverage, quality-of-services, energy consumption, equal load distribution over UAVs, and fault tolerance are all considered for improving network connectivity and lifetime. Two metaheuristic-based hybrid optimisation algorithms are proposed to integrate these objectives together. Sun et al., in their paper 'An efficient data collection framework in the sky: An","url":"https://doi.org/10.60692/h83dp-sj008","authors":["Hongliang Zhang","Walid Saad","Mérouane Debbah","Lingyang Song"],"tags":["Unmanned Aerial Vehicle Communications","Aerospace Engineering","FOS: Mechanical engineering","Engineering","Physical Sciences","Distributed Multi-Agent Coordination and Control","Computer Networks and Communications","Computer Science"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2021","doi":"10.60692/h83dp-sj008","addedAt":"2026-08-31T06:39:59.809Z","updatedAt":"2026-08-31T06:39:59.809Z"},{"id":"doi:10.60692/nt2wh-rqe71","name":"Guest editorial: Cellular Internet of UAVs for 5G and beyond","source":"datacite","abstract":"Emerging unmanned aerial vehicles (UAVs) are playing an increasingly important role in military, public, and civilian applications. More recently, UAVs have become a topic of central research interest in the wireless communication community. For example, the 3rd Generation Partnership Project (3GPP) standardisation body has recently worked on a study item to facilitate seamless integration of UAVs into future cellular networks, which is called the cellular Internet of UAVs. UAVs can be exploited in different ways to enhance cellular communications. On the one hand, dedicated UAVs can be used as airborne wireless access points or relay nodes to further improve terrestrial communications, which is referred to as UAV-assisted cellular communications. On the other hand, UAVs may be exploited for sensing purposes by leveraging their advantages such as on-demand deployment, larger service coverage compared with the conventional fixed sensor nodes, and flexible spatial network architecture. We refer to this category of UAV applications as cellular-assisted UAV sensing. Unlike terrestrial cellular networks, UAV communications have many distinctive features such as high dynamic network topologies and weakly connected communication links. Besides, they also suffer from some practical constraints such as battery power, no-fly zones, and sensing requirements. Therefore, it is essential to develop novel communication and signal-processing techniques in support of ultra-reliable and real-time sensing applications. This special issue aims to create a platform for researchers from both academia and industry to disseminate state-of-the-art results and to advance the integration of UAVs into cellular networks. In total, 12 excellent papers were accepted after a rigorous multi-round review process. These papers can be divided into two topics: UAV-assisted cellular communications and cellular-assisted UAV sensing. In the following, we will introduce these papers and highlight their contributions. In their survey paper 'A survey on unmanned aerial vehicle relaying networks', Li et al. comprehensively summarise UAV relaying communications, which is an important paradigm of UAV-assisted cellular communications, and introduce its application scenarios. Key challenges are presented and corresponding technologies to address these challenges are discussed. Furthermore, they also show the research opportunities of UAV relaying communications. Yuan et al., in their paper 'Interference coordination and throughput maximisation in an unmanned aerial vehicle-assisted cellular: User association and three-dimensional trajectory optimisation', consider a UAV as an aerial base station (BS) to serve ground users. To reduce the interference between the UAV and terrestrial BSs, they propose a joint user association and 3D trajectory optimisation method. An improved block successive upper-bound minimisation based penalty algorithm is proposed. In 'Age-optimal path planning for finite-battery UAV-assisted data dissemination in IoT networks', Changizi and Emadi consider using UAVs to assist wireless sensor networks to deliver information with the aim to explore the freshness of data. An UAV trajectory planning for data dissemination is proposed, taking into account both maximal use of energy and the freshness of data. The effect of limited energy for UAVs is also discussed. In 'metaheuristic-based optimal 3D positioning of UAVs forming aerial mesh network to provide emergency communication services', Gupta and Varma study the optimal placement of UAVs to facilitate post-disaster emergency communication services. Coverage, quality-of-services, energy consumption, equal load distribution over UAVs, and fault tolerance are all considered for improving network connectivity and lifetime. Two metaheuristic-based hybrid optimisation algorithms are proposed to integrate these objectives together. Sun et al., in their paper 'An efficient data collection framework in the sky: An","url":"https://doi.org/10.60692/nt2wh-rqe71","authors":["Hongliang Zhang","Walid Saad","Mérouane Debbah","Lingyang Song"],"tags":["Unmanned Aerial Vehicle Communications","Aerospace Engineering","FOS: Mechanical engineering","Engineering","Physical Sciences","Distributed Multi-Agent Coordination and Control","Computer Networks and Communications","Computer Science"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2021","doi":"10.60692/nt2wh-rqe71","addedAt":"2026-08-31T06:39:59.809Z","updatedAt":"2026-08-31T06:39:59.809Z"},{"id":"doi:10.60692/ac66e-4cp95","name":"Orchard management with small unmanned aerial vehicles: a survey of sensing and analysis approaches","source":"datacite","abstract":"Abstract Advances in sensor miniaturization are increasing the global popularity of unmanned aerial vehicle (UAV)-based remote sensing applications in many domains of agriculture. Fruit orchards (the source of the fruit industry chain) require site-specific or even individual-tree-specific management throughout the growing season—from flowering, fruitlet development, ripening, and harvest—to tree dormancy. The recent increase in research on deploying UAV in orchard management has yielded new insights but challenges relating to determining the optimal approach (e.g., image-processing methods) are hampering widespread adoption, largely because there is no standard workflow for the application of UAVs in orchard management. This paper provides a comprehensive literature review focused on UAV-based orchard management: the survey includes achievements to date and shortcomings to be addressed. Sensing system architecture focusing on UAVs and sensors is summarized. Then up-to-date applications supported by UAVs in orchard management are described, focusing on the diversity of data-processing techniques, including monitoring efficiency and accuracy. With the goal of identifying the gaps and examining the opportunities for UAV-based orchard management, this study also discusses the performance of emerging technologies and compare similar research providing technical and comprehensive support for the further exploitation of UAVs and a revolution in orchard management.","url":"https://doi.org/10.60692/ac66e-4cp95","authors":["Chenglong Zhang","João Valente","L. Kooistra","Lei Guo","Wensheng Wang"],"tags":["Remote Sensing in Vegetation Monitoring and Phenology","Ecology","FOS: Biological sciences","Environmental Science","Physical Sciences","Mapping Forests with Lidar Remote Sensing","Environmental Engineering","FOS: Environmental engineering"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2021","doi":"10.60692/ac66e-4cp95","addedAt":"2026-08-31T06:39:59.809Z","updatedAt":"2026-08-31T06:39:59.809Z"},{"id":"doi:10.60692/a4vcc-fhq84","name":"Orchard management with small unmanned aerial vehicles: a survey of sensing and analysis approaches","source":"datacite","abstract":"Abstract Advances in sensor miniaturization are increasing the global popularity of unmanned aerial vehicle (UAV)-based remote sensing applications in many domains of agriculture. Fruit orchards (the source of the fruit industry chain) require site-specific or even individual-tree-specific management throughout the growing season—from flowering, fruitlet development, ripening, and harvest—to tree dormancy. The recent increase in research on deploying UAV in orchard management has yielded new insights but challenges relating to determining the optimal approach (e.g., image-processing methods) are hampering widespread adoption, largely because there is no standard workflow for the application of UAVs in orchard management. This paper provides a comprehensive literature review focused on UAV-based orchard management: the survey includes achievements to date and shortcomings to be addressed. Sensing system architecture focusing on UAVs and sensors is summarized. Then up-to-date applications supported by UAVs in orchard management are described, focusing on the diversity of data-processing techniques, including monitoring efficiency and accuracy. With the goal of identifying the gaps and examining the opportunities for UAV-based orchard management, this study also discusses the performance of emerging technologies and compare similar research providing technical and comprehensive support for the further exploitation of UAVs and a revolution in orchard management.","url":"https://doi.org/10.60692/a4vcc-fhq84","authors":["Chenglong Zhang","João Valente","L. Kooistra","Lei Guo","Wensheng Wang"],"tags":["Remote Sensing in Vegetation Monitoring and Phenology","Ecology","FOS: Biological sciences","Environmental Science","Physical Sciences","Mapping Forests with Lidar Remote Sensing","Environmental Engineering","FOS: Environmental engineering"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2021","doi":"10.60692/a4vcc-fhq84","addedAt":"2026-08-31T06:39:59.809Z","updatedAt":"2026-08-31T06:39:59.809Z"},{"id":"doi:10.60692/2vaz2-fqf81","name":"Unmanned Aerial Vehicle Remote Sensing for Field-Based Crop Phenotyping: Current Status and Perspectives","source":"datacite","abstract":"Phenotyping plays an important role in crop science research; the accurate and rapid acquisition of phenotypic information of plants or cells in different environments is helpful for exploring the inheritance and expression patterns of the genome to determine the association of genomic and phenotypic information to increase the crop yield. Traditional methods for acquiring crop traits, such as plant height, leaf color, leaf area index (LAI), chlorophyll content, biomass and yield, rely on manual sampling, which is time-consuming and laborious. Unmanned aerial vehicle remote sensing platforms (UAV-RSPs) equipped with different sensors have recently become an important approach for fast and non-destructive high throughput phenotyping and have the advantage of flexible and convenient operation, on-demand access to data and high spatial resolution. UAV-RSPs are a powerful tool for studying phenomics and genomics. As the methods and applications for field phenotyping using UAVs to users who willing to derive phenotypic parameters from large fields and tests with the minimum effort on field work and getting highly reliable results are necessary, the current status and perspectives on the topic of UAV-RSPs for field-based phenotyping were reviewed based on the literature survey of crop phenotyping using UAV-RSPs in the Web of Science™ Core Collection database and cases study by NERCITA. The reference for the selection of UAV platforms and remote sensing sensors, the commonly adopted methods and typical applications for analyzing phenotypic traits by UAV-RSPs, and the challenge for crop phenotyping by UAV-RSPs were considered. The review can provide theoretical and technical support to promote the applications of UAV-RSPs for crop phenotyping.","url":"https://doi.org/10.60692/2vaz2-fqf81","authors":["Guijun Yang","Jiangang Liu","Chunjiang Zhao","Zhenhong Li","Yanbo Huang","Haiyang Yu","Bo Xu","Xiaodong Yang","Dan Zhu","Xiaoyan Zhang","Ruyang Zhang","Haikuan Feng","Xin Zhao","Zhenhai Li","Heli Li","Hao Yang"],"tags":["Remote Sensing in Vegetation Monitoring and Phenology","Ecology","FOS: Biological sciences","Environmental Science","Physical Sciences","Mapping Forests with Lidar Remote Sensing","Environmental Engineering","FOS: Environmental engineering"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2017","doi":"10.60692/2vaz2-fqf81","addedAt":"2026-08-31T06:39:59.809Z","updatedAt":"2026-08-31T06:39:59.809Z"},{"id":"doi:10.60692/4t03n-ckp43","name":"Unmanned Aerial Vehicle Remote Sensing for Field-Based Crop Phenotyping: Current Status and Perspectives","source":"datacite","abstract":"Phenotyping plays an important role in crop science research; the accurate and rapid acquisition of phenotypic information of plants or cells in different environments is helpful for exploring the inheritance and expression patterns of the genome to determine the association of genomic and phenotypic information to increase the crop yield. Traditional methods for acquiring crop traits, such as plant height, leaf color, leaf area index (LAI), chlorophyll content, biomass and yield, rely on manual sampling, which is time-consuming and laborious. Unmanned aerial vehicle remote sensing platforms (UAV-RSPs) equipped with different sensors have recently become an important approach for fast and non-destructive high throughput phenotyping and have the advantage of flexible and convenient operation, on-demand access to data and high spatial resolution. UAV-RSPs are a powerful tool for studying phenomics and genomics. As the methods and applications for field phenotyping using UAVs to users who willing to derive phenotypic parameters from large fields and tests with the minimum effort on field work and getting highly reliable results are necessary, the current status and perspectives on the topic of UAV-RSPs for field-based phenotyping were reviewed based on the literature survey of crop phenotyping using UAV-RSPs in the Web of Science™ Core Collection database and cases study by NERCITA. The reference for the selection of UAV platforms and remote sensing sensors, the commonly adopted methods and typical applications for analyzing phenotypic traits by UAV-RSPs, and the challenge for crop phenotyping by UAV-RSPs were considered. The review can provide theoretical and technical support to promote the applications of UAV-RSPs for crop phenotyping.","url":"https://doi.org/10.60692/4t03n-ckp43","authors":["Guijun Yang","Jiangang Liu","Chunjiang Zhao","Zhenhong Li","Yanbo Huang","Haiyang Yu","Bo Xu","Xiaodong Yang","Dan Zhu","Xiaoyan Zhang","Ruyang Zhang","Haikuan Feng","Xin Zhao","Zhenhai Li","Heli Li","Hao Yang"],"tags":["Remote Sensing in Vegetation Monitoring and Phenology","Ecology","FOS: Biological sciences","Environmental Science","Physical Sciences","Mapping Forests with Lidar Remote Sensing","Environmental Engineering","FOS: Environmental engineering"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2017","doi":"10.60692/4t03n-ckp43","addedAt":"2026-08-31T06:39:59.809Z","updatedAt":"2026-08-31T06:39:59.809Z"},{"id":"doi:10.26265/polynoe-6563","name":"Μελέτη και κατασκευή μη επανδρωμένου αεροσκάφους (Drone) με δυνατότητα υψηλής ακρίβειας προσγείωσης με χρήση Computer Vision","source":"datacite","abstract":"The development of Unmanned Aerial Vehicle (UAV) technology has gained considerable momentum in recent years, with a particular focus on enhancing capabilities for precise and controlled landings. This master's thesis deals with the research and construction of an unmanned aircraft with a specialized emphasis on achieving high-precision landings using computer vision technologies. The study investigates OpenCV, ArUco markers and the Raspberry Pi 5 as a companion computer for the flight controller. The motivation behind this research stems from the growing demand for UAVs in various applications, such as domain surveillance, identification, and delivery services. Achieving high-precision landings is crucial to optimizing these applications, as it allows for safe and accurate landing in restricted or dynamic environments. The thesis aims to contribute to the field by designing and implementing a robust system that leverages computer vision techniques to enhance accurate landing of UAVs. The fundamental technology explored in this thesis is OpenCV, a widely used open source computer vision library. OpenCV provides a flexible set of algorithms for image processing, object detection and feature tracking – key elements for developing a high-precision landing system. The ArUco Marker system is utilized by computer vision and is a central element of the proposed methodology. The hardware architecture chosen for this research includes a Raspberry Pi 5, serving as the flight controller's companion computer. The Raspberry Pi 5 provides the computing power needed for real-time image processing and decision-making during the landing phase. The integration of an companion computer enhances the autonomous functions of the UAV, allowing it to run complex algorithms without overloading the flight controller. An important aspect of the thesis is the development of Python code that implements the precise landing of the drone on a basis consisting of ArUco markers. The code incorporates image processing algorithms from OpenCV to detect and analyze ArUco markers in real time. By utilizing ArUco indicators, the algorithm allows the drone to calculate its position and orientation relative to the indicators, facilitating a controlled descent and landing. The research methodology involves a combination of theoretical analysis, algorithm development and practical application. Theoretical aspects include a comprehensive review of existing literature on UAV landing systems and OpenCV operations. Algorithm development involves the design and coding of image processing and control algorithms adapted for high-precision landings and commands to manipulate the UAV. Practical implementation includes building the drone, developing the Python code, and extensive testing in real-world scenarios. In conclusion, this thesis explores the intersection of UAV technology, computer vision, and high-precision landings. By integrating OpenCV, ArUco indicators and Raspberry Pi 5, the research aims to develop a reliable and effective system to enhance drone landing capabilities. The results of this study have the potential to influence developments in UAV applications, particularly in areas that require precise and controlled landings.","url":"https://doi.org/10.26265/polynoe-6563","authors":["Κοτσιφάκης, Ιωάννης"],"tags":["Unmanned aerial vehicle (UAV)","Precision landing","Computer vsion","ArUco marker system","Camera calibration","High-accuracy positioning","Real-time processing","Drone applications"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.26265/polynoe-6563","addedAt":"2026-08-31T06:39:59.809Z","updatedAt":"2026-08-31T06:39:59.809Z"},{"id":"doi:10.13016/m2mrre-ygjl","name":"UAV-Assisted IoT Applications, QoS Requirements and Challenges with Future Research Directions","source":"datacite","abstract":"Unmanned Aerial Vehicle (UAV)-assisted Internet of Things application communication is an emerging concept that effectuate the foreknowledge of innovative technologies. With the accelerated advancements in IoT applications, the importance of this technology became more impactful and persistent. Moreover, this technology have demonstrated useful contributions across various domains, ranging from general to specific applications. Examples include wildfire monitoring, coastal area monitoring, deforestation monitoring, and sensitive military operations, where human access is limited or not feasible. These examples underscore the technology’s importance in scenarios where direct human involvement is challenging or impossible. Although this technology offers numerous benefits, it is essential to note that it also faces several challenges. Among these, Quality of Service (QoS) is a key concern, which limits its useability in various applications. Unfortunately, most researchers in the present literature have overlooked this important factor without giving it considerable attention. To fill this gap, we are presenting a systematic review of the present literature associated with the QoS metrics of this emerging technology from 2015 to 2023 to highlight their contributions and limitations. Based on the systematic review, we highlight the open challenges of this technology to set a roadmap for futuristic research. Finally, we compared each portion of this work with the previously published review articles to confirm the essence of this work, along with an explanation of why this survey is needed and in-time.","url":"https://doi.org/10.13016/m2mrre-ygjl","authors":["Adil, Muhammad","Song, Houbing","Jan, Mian","Khan, Muhammad","He, Xiangjian","Farouk, Ahmed","Jin, Zhanpeng"],"tags":["Wireless communication","Interoperability Challenges.","IoT applications","QoS in UAV-assisted-IoT application","Routing protocols"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.13016/m2mrre-ygjl","addedAt":"2026-08-31T06:39:59.809Z","updatedAt":"2026-08-31T06:39:59.809Z"},{"id":"doi:10.48550/arxiv.2404.10556","name":"Generative AI for Advanced UAV Networking","source":"datacite","abstract":"With the impressive achievements of chatGPT and Sora, generative artificial intelligence (GAI) has received increasing attention. Not limited to the field of content generation, GAI is also widely used to solve the problems in wireless communication scenarios due to its powerful learning and generalization capabilities. Therefore, we discuss key applications of GAI in improving unmanned aerial vehicle (UAV) communication and networking performance in this article. Specifically, we first review the key technologies of GAI and the important roles of UAV networking. Then, we show how GAI can improve the communication, networking, and security performances of UAV systems. Subsequently, we propose a novel framework of GAI for advanced UAV networking, and then present a case study of UAV-enabled spectrum map estimation and transmission rate optimization based on the proposed framework to verify the effectiveness of GAI-enabled UAV systems. Finally, we discuss some important open directions.","url":"https://doi.org/10.48550/arxiv.2404.10556","authors":["Sun, Geng","Xie, Wenwen","Niyato, Dusit","Du, Hongyang","Kang, Jiawen","Wu, Jing","Sun, Sumei","Zhang, Ping"],"tags":["Networking and Internet Architecture (cs.NI)","Signal Processing (eess.SP)","FOS: Computer and information sciences","FOS: Computer and information sciences","FOS: Electrical engineering, electronic engineering, information engineering","FOS: Electrical engineering, electronic engineering, information engineering"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.48550/arxiv.2404.10556","addedAt":"2026-08-31T06:39:59.809Z","updatedAt":"2026-08-31T06:39:59.809Z"},{"id":"doi:10.5281/zenodo.10836874","name":"A THEORETICAL DESIGN OF A COMBINED AIR AND GROUND UNMANNED VEHICLE FOR SEARCH AND FOLLOW A DISASTER","source":"datacite","abstract":"The combination between unmanned ground vehicle and unmanned Ariel vehicle has become a matter of discussion lately in the field of robotics. This paper proposes a theoretical design of an unmanned vehicle with dimensions of (370 X 367 X 318 mm) which can fly as aerial vehicle and move on the ground, so it is considered unmanned ground vehicle as well. Subsequently, hybrid design is appropriate for following disaster robot because of the harsh environment. This investigation comprises literature review on some previous works in this regards along with the conception of the vehicle is argued in details with 3 D drawings. Furthermore, some calculations of the drag, lift forces and power consumption are performed. Finally, MATLAB plots are extracted to give an indication of the displacement response of the automobile in both X-Y axes.","url":"https://doi.org/10.5281/zenodo.10836874","authors":["SHAKIR, SHAKIR"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.5281/zenodo.10836874","addedAt":"2026-08-31T06:39:59.809Z","updatedAt":"2026-08-31T06:39:59.809Z"},{"id":"doi:10.5281/zenodo.10836875","name":"A THEORETICAL DESIGN OF A COMBINED AIR AND GROUND UNMANNED VEHICLE FOR SEARCH AND FOLLOW A DISASTER","source":"datacite","abstract":"The combination between unmanned ground vehicle and unmanned Ariel vehicle has become a matter of discussion lately in the field of robotics. This paper proposes a theoretical design of an unmanned vehicle with dimensions of (370 X 367 X 318 mm) which can fly as aerial vehicle and move on the ground, so it is considered unmanned ground vehicle as well. Subsequently, hybrid design is appropriate for following disaster robot because of the harsh environment. This investigation comprises literature review on some previous works in this regards along with the conception of the vehicle is argued in details with 3 D drawings. Furthermore, some calculations of the drag, lift forces and power consumption are performed. Finally, MATLAB plots are extracted to give an indication of the displacement response of the automobile in both X-Y axes.","url":"https://doi.org/10.5281/zenodo.10836875","authors":["SHAKIR, SHAKIR"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.5281/zenodo.10836875","addedAt":"2026-08-31T06:39:59.809Z","updatedAt":"2026-08-31T06:39:59.809Z"},{"id":"doi:10.48550/arxiv.2403.09008","name":"Fault Detection and Tolerant Control for Aero2 2D0F Two-rotor Helicopter","source":"datacite","abstract":"Stability and satisfactory performance are critical control requirements for Unmanned Aerial Vehicle (UAV) applications. While conventional control systems for UAVs aim to ensure flight stability and safe operation while accomplishing tasks, UAVs may experience various flight faults that can degrade performance or, in severe cases, lead to instability. Unsatisfactory performance or instability of a UAV poses risks to lives, properties, and the flying environment. Therefore, it's essential to design a system capable of detecting faults, pinpointing their location, assessing their severity, and using this information to mitigate them, enabling the vehicle to continue operating satisfactorily. Despite the importance of analysing fault performance to select optimal fault detection and tolerance strategies, limited research has been conducted, especially with real systems. This study examines the performance of a 2-degree-of-freedom (2DOF) bi-rotor helicopter's control system in the presence of various actuator faults. Results from different fault conditions demonstrate that faults degrade the performance of conventional control systems on UAVs and introduce vibrations into the system, particularly when faults cause asymmetry or imbalance. However, additional experiments reveal that effective fault diagnosis and accommodation methods can help maintain satisfactory system performance despite the presence of faults.","url":"https://doi.org/10.48550/arxiv.2403.09008","authors":["Dandago, Khalid Kabir","Zhang, Long","Pan, Wei"],"tags":["Systems and Control (eess.SY)","FOS: Electrical engineering, electronic engineering, information engineering","FOS: Electrical engineering, electronic engineering, information engineering"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.48550/arxiv.2403.09008","addedAt":"2026-08-31T06:39:59.809Z","updatedAt":"2026-08-31T06:39:59.809Z"},{"id":"doi:10.48550/arxiv.2305.16871","name":"Modelling, Analysis and Control of OmniMorph: an Omnidirectional Morphing Multi-rotor UAV","source":"datacite","abstract":"This paper introduces for the first time the design, modelling, and control of a novel morphing multi-rotor Unmanned Aerial Vehicle (UAV) that we call the OmniMorph. The morphing ability allows the selection of the configuration that optimizes energy consumption while ensuring the needed maneuverability for the required task. The most energy-efficient uni-directional thrust (UDT) configuration can be used, e.g., during standard point-to-point displacements. Fully-actuated (FA) and omnidirectional (OD) configurations can be instead used for full pose tracking, such as, e.g., constant attitude horizontal motions and full rotations on the spot, and for full wrench 6D interaction control and 6D disturbance rejection. Morphing is obtained using a single servomotor, allowing possible minimization of weight, costs, and maintenance complexity. The actuation properties are studied, and an optimal controller that compromises between performance and control effort is proposed and validated in realistic simulations. Preliminary tests on the prototype are presented to assess the propellers' mutual aerodynamic interference.","url":"https://doi.org/10.48550/arxiv.2305.16871","authors":["Aboudorra, Youssef","Gabellieri, Chiara","Brantjes, Ralph","Sablé, Quentin","Franchi, Antonio"],"tags":["Robotics (cs.RO)","Systems and Control (eess.SY)","FOS: Computer and information sciences","FOS: Computer and information sciences","FOS: Electrical engineering, electronic engineering, information engineering","FOS: Electrical engineering, electronic engineering, information engineering"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2023","doi":"10.48550/arxiv.2305.16871","addedAt":"2026-08-31T06:39:59.809Z","updatedAt":"2026-08-31T06:39:59.809Z"},{"id":"doi:10.18720/spbpu/3/2023/vr/vr23-5780","name":"Коррекция параметров алгоритма стабилизации в полетном контроллере беспилотного летательного аппарата","source":"datacite","abstract":"Магистерская работа посвящена разработке коррекции алгоритмов стабилизации в полетном контроллере беспилотного летательного аппарата. В работе были изучены и представлены существующие методы решения поставленной задачи, были проведены эксперименты и построены сопутствующие графики. Был проведен обзор аппаратной части квадрокоптера и выполнена настройка квадрокоптера. Цель работы является разработка коррекции параметров алгоритма стабилизации в полетном контроллере беспилотного летательного аппарата В ходе работы разработан метод коррекции параметров алгоритма стабилизации в полетном контроллере беспилотного летательного аппарата. Рассмотрены актуальные на сегодняшний день решения, направленные на улучшение стабилизации. Работоспособность метода представлена экспериментально. Найден способ обработки данных, полученных со встроенного черного ящика полетного контроллера. Рассмотрены компоненты и выполнена последующая сборка лабораторного квадрокоптера. По результатам экспериментов были построены графики, а также оценено влияние дополнительной подъемной силы, воздействующей на борт при полете на малой высоте. По результатам экспериментов выявили действие отталкивающей силы, известной как \"воздушная подушка\", и с этими данными осуществлены расчеты для дальнейшего внесения поправок в коэффициенты PID полетного контроллера. Учтены терминологические особенности предметной области и применены программные средства для решения задач. Применено специализированное программное обеспечение Inav Configurator 6.1.0, Inav Blackbox Explorer, Jupyter, Visual Studio.","url":"https://doi.org/10.18720/spbpu/3/2023/vr/vr23-5780","authors":["Хабибуллин, Альфред"],"tags":["Летательные аппараты беспилотные","удержание высоты","полет на малой высоте","PID регулирование управления","аэродинамические эффекты","роевые Ñ‚ÐµÑ Ð½Ð¾Ð»Ð¾Ð³Ð¸Ð¸","решение проблемы стабилизации","altitude maintenance"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2023","doi":"10.18720/spbpu/3/2023/vr/vr23-5780","addedAt":"2026-08-31T06:39:59.809Z","updatedAt":"2026-08-31T06:39:59.809Z"},{"id":"doi:10.6084/m9.figshare.24902583.v1","name":"Appendices","source":"datacite","abstract":"This appendix is linked with the paper entitled \"Risk Assessment in Unmanned Aerial Vehicle Operations: A Literature Review\" and includes the Remotely Piloted Aircraft Risk Elements, the Autonomous Vehicles Risk Elements, and the Risk Mitigation Methods.","url":"https://doi.org/10.6084/m9.figshare.24902583.v1","authors":["Cheaitou, Ali"],"tags":["Aircraft performance and flight control systems","Aerospace engineering not elsewhere classified"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2023","doi":"10.6084/m9.figshare.24902583.v1","addedAt":"2026-08-31T06:39:59.809Z","updatedAt":"2026-08-31T06:39:59.809Z"},{"id":"doi:10.6084/m9.figshare.24902583","name":"Appendices","source":"datacite","abstract":"This appendix is linked with the paper entitled \"Risk Assessment in Unmanned Aerial Vehicle Operations: A Literature Review\" and includes the Remotely Piloted Aircraft Risk Elements, the Autonomous Vehicles Risk Elements, and the Risk Mitigation Methods.","url":"https://doi.org/10.6084/m9.figshare.24902583","authors":["Cheaitou, Ali"],"tags":["Aircraft performance and flight control systems","Aerospace engineering not elsewhere classified"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2023","doi":"10.6084/m9.figshare.24902583","addedAt":"2026-08-31T06:39:59.809Z","updatedAt":"2026-08-31T06:39:59.809Z"},{"id":"doi:10.18720/spbpu/3/2023/vr/vr23-6086","name":"Развитие уровня Ñ‚ÐµÑ Ð½Ð¾Ð»Ð¾Ð³Ð¸Ñ‡ÐµÑÐºÐ¾Ð¹ готовности проекта стартапа «АгроСпектр»","source":"datacite","abstract":"Данная работа посвящена разработке программно-аппаратного комплекса, состоящего из беспилотного летательного аппарата и алгоритма для прогнозирования урожайности сельскохозяйственных культур на основе данных, полученных с опытных полей, мультиспектральных спутниковых данных (вегетационных индексов растительности) и климатических параметров. Представлен обзор существующих решений, проведена разработка аппаратного прототипа и алгоритма прогнозирования урожайности. Завершающим этапом описана нейронная сеть, предиктивная модель прогнозирования урожайности. Дополнительно приведен анализ рынка для разработанного программно-аппаратного комплекса.","url":"https://doi.org/10.18720/spbpu/3/2023/vr/vr23-6086","authors":["Четвергов, Матвей"],"tags":["точное земледелие","программно-аппаратный комплекс мониторинга","нейронная сеть","precision farming","monitoring software and hardware complex","neural network"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2023","doi":"10.18720/spbpu/3/2023/vr/vr23-6086","addedAt":"2026-08-31T06:39:59.809Z","updatedAt":"2026-08-31T06:39:59.809Z"},{"id":"doi:10.18720/spbpu/3/2022/vr/vr22-2205","name":"Беспилотный летательный аппарат как Ñ‚ÐµÑ Ð½Ð¸ÐºÐ¾-криминалистическое средство при решении задач ÑÑƒÐ´ÐµÐ±Ð½Ñ‹Ñ ÑÐºÑÐ¿ÐµÑ€Ñ‚Ð¸Ð·","source":"datacite","abstract":"В данной работе изложена сущность подхода к внедрению беспилотных летательных аппаратов в состав технико-криминалистических средств. Актуальность работы обусловлена тем, что качественное производство экспертиз с использованием современных достижений технологического процесса позволяет создавать новые методы для раскрытия и расследования преступлений.Для достижения цели, которая заключалась в разработке рекомендаций по внедрению беспилотных летательных аппаратов в состав технико-криминалистических средств судебного эксперта, были поставлены и достигнуты следующие задачи: 1. Был дан анализ понятию «беспилотный летательный аппарат». 2. Выявлено разнообразие видов беспилотных летательных аппаратов и их характеристики, а также предложен оптимальный вариант БПЛА для производства экспертиз. 3. Также были рассмотрены принципы управления беспилотных летательных аппаратов. 4. Раскрыта роль применения беспилотных летательных аппаратов при решении задач судебных инженерно-технических экспертиз, криминалистических исследований и при исследовании места происшествия. Данная выпускная квалификационная работа включает в себя введение, две главы, заключение, список использованной литературы, список сокращений. Первая глава носит теоретический характер. Она посвящена понятию БПЛА их классификации, а также обзору некоторых моделей и принципам управления. Благодаря обзору нескольких моделей был выявлен самый оптимальный вид БПЛА для производства экспертиз и осмотра места происшествия. А также подробно было рассмотрено как выбранная модель управляется.Вторая глава представляет собой практическую часть диплома и содержит в себе анализ информации, которая дает представление о том, как именно используются БПЛА при решении задач судебных инженерно-технических экспертиз, при криминалистических исследованиях, а также при осмотре места происшествия.Использование БПЛА при производстве инженерно-технических экспертиз было рассмотрено на примере пожарно-технической и строительно-технической экспертизах, также был подробно рассмотрен такой метод как фотограмметрия. Далее было рассмотрено использование БПЛА при криминалистических исследоваÐ","url":"https://doi.org/10.18720/spbpu/3/2022/vr/vr22-2205","authors":["Курило, Адриана"],"tags":["Летательные аппараты беспилотные","дрон","Ñ‚ÐµÑ Ð½Ð¸ÐºÐ¾-криминалистическое средство","инженерно-Ñ‚ÐµÑ Ð½Ð¸Ñ‡ÐµÑÐºÐ¸Ðµ экспертизы","осмотр места происшествия","криминалистическое исследование","drone","technical and forensic means"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2022","doi":"10.18720/spbpu/3/2022/vr/vr22-2205","addedAt":"2026-08-31T06:39:59.809Z","updatedAt":"2026-08-31T06:39:59.809Z"},{"id":"doi:10.18720/spbpu/3/2019/vr/vr19-5175","name":"Разработка методики расчета динамического наддува ДВС для беспилотного летательного аппарата","source":"datacite","abstract":"В работе представлены результаты разработки беспилотного летательного аппарата с системой динамического наддува. Работа включает в себя обзорную часть, описание расчетных методик и выводы о работоспособности указанной системы, расчёт двигателя по методическим пособиям и в программе process2000, расчет геометрии впускного трубопровода.","url":"https://doi.org/10.18720/spbpu/3/2019/vr/vr19-5175","authors":["Михайлов, Евгений"],"tags":["Двигатели внутреннего сгорания","Летательные аппараты беспилотные","Бензин","изменяемая геометрия впуска","моделирование процессов"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2019","doi":"10.18720/spbpu/3/2019/vr/vr19-5175","addedAt":"2026-08-31T06:39:59.809Z","updatedAt":"2026-08-31T06:39:59.809Z"},{"id":"doi:10.48550/arxiv.2311.07955","name":"Deep Learning-Based Object Detection in Maritime Unmanned Aerial Vehicle Imagery: Review and Experimental Comparisons","source":"datacite","abstract":"With the advancement of maritime unmanned aerial vehicles (UAVs) and deep learning technologies, the application of UAV-based object detection has become increasingly significant in the fields of maritime industry and ocean engineering. Endowed with intelligent sensing capabilities, the maritime UAVs enable effective and efficient maritime surveillance. To further promote the development of maritime UAV-based object detection, this paper provides a comprehensive review of challenges, relative methods, and UAV aerial datasets. Specifically, in this work, we first briefly summarize four challenges for object detection on maritime UAVs, i.e., object feature diversity, device limitation, maritime environment variability, and dataset scarcity. We then focus on computational methods to improve maritime UAV-based object detection performance in terms of scale-aware, small object detection, view-aware, rotated object detection, lightweight methods, and others. Next, we review the UAV aerial image/video datasets and propose a maritime UAV aerial dataset named MS2ship for ship detection. Furthermore, we conduct a series of experiments to present the performance evaluation and robustness analysis of object detection methods on maritime datasets. Eventually, we give the discussion and outlook on future works for maritime UAV-based object detection. The MS2ship dataset is available at \\href{https://github.com/zcj234/MS2ship}{https://github.com/zcj234/MS2ship}.","url":"https://doi.org/10.48550/arxiv.2311.07955","authors":["Zhao, Chenjie","Liu, Ryan Wen","Qu, Jingxiang","Gao, Ruobin"],"tags":["Computer Vision and Pattern Recognition (cs.CV)","Artificial Intelligence (cs.AI)","FOS: Computer and information sciences","FOS: Computer and information sciences"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2023","doi":"10.48550/arxiv.2311.07955","addedAt":"2026-08-31T06:39:59.809Z","updatedAt":"2026-08-31T06:39:59.809Z"},{"id":"doi:10.48550/arxiv.2310.16360","name":"A Comprehensive Review of AI-enabled Unmanned Aerial Vehicle: Trends, Vision , and Challenges","source":"datacite","abstract":"In recent years, the combination of artificial intelligence (AI) and unmanned aerial vehicles (UAVs) has brought about advancements in various areas. This comprehensive analysis explores the changing landscape of AI-powered UAVs and friendly computing in their applications. It covers emerging trends, futuristic visions, and the inherent challenges that come with this relationship. The study examines how AI plays a role in enabling navigation, detecting and tracking objects, monitoring wildlife, enhancing precision agriculture, facilitating rescue operations, conducting surveillance activities, and establishing communication among UAVs using environmentally conscious computing techniques. By delving into the interaction between AI and UAVs, this analysis highlights the potential for these technologies to revolutionise industries such as agriculture, surveillance practices, disaster management strategies, and more. While envisioning possibilities, it also takes a look at ethical considerations, safety concerns, regulatory frameworks to be established, and the responsible deployment of AI-enhanced UAV systems. By consolidating insights from research endeavours in this field, this review provides an understanding of the evolving landscape of AI-powered UAVs while setting the stage for further exploration in this transformative domain.","url":"https://doi.org/10.48550/arxiv.2310.16360","authors":["Pal, Osim Kumar","Shovon, Md Sakib Hossain","Mridha, M. F.","Shin, Jungpil"],"tags":["Artificial Intelligence (cs.AI)","Robotics (cs.RO)","FOS: Computer and information sciences","FOS: Computer and information sciences"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2023","doi":"10.48550/arxiv.2310.16360","addedAt":"2026-08-31T06:39:59.809Z","updatedAt":"2026-08-31T06:39:59.809Z"},{"id":"doi:10.48494/realcorp2023.6082","name":"Functional Applications of Unmanned Aerial Vehicle Technology in Urban Planning Practice: A PRISMA systematic Review","source":"datacite","abstract":"Covid-19 pandemic has arguablely created an opportunity for urban planners to create cities that are more resilient and sustainable. This systematic review was aimed at analysing the potential of Unmanned Aerial Vehicle (UAV) technology as a tool for post-covid-19 urban planning and design. Specifically, the study reviewed the functional application areas that have leveraged the existence of UAV technology since its inclusion in non-military sectors in 2006. PRISMA method was used to retrieve journal articles that were published between 2006 and 2022 from scopus database and a total of 48 journal articles were included in the study. The results of the literature analysis revealed that there is a growing application of UAV technology in urban disaster managemnert, smartcities development initiatives, urban landscape management and urban road transportation management. The study also revealed that there is already a research increase on UAV integration in urban planning from 2019 which signifies the contribution of the pandemic towards UAV adoption. It has also been established that there is an increasing application of Machine Leaning (ML) and Computer Vision (CV) models for UAV data analysis. The study concludes that UAV technology has a lot of potential for improving urban planning processes with regard to time, cost, and safety and hence can be regarded as one of the sustainable tools in post-covid-19 urban planning efforts. Therefore, there is need for robust research to explore its potential in other application areas such as municipal waste management, urban developement control, and urban drainage systems among others. The study also recommends that basic courses on Artificial Intelligence (AI) be introduced in urban planning education to equip urban planners on the emerging AI applications.","url":"https://doi.org/10.48494/realcorp2023.6082","authors":["Mdaopa, Bernard Eric","Gumbo, Trynos","Moyo, Thembani","Musonda, Innocent"],"tags":["Unnamed Aerial Vehicles","Urban Planning","Artificial Intelligence","Machine Learning","Computer Vision"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2023","doi":"10.48494/realcorp2023.6082","addedAt":"2026-08-31T06:39:59.809Z","updatedAt":"2026-08-31T06:39:59.809Z"},{"id":"doi:10.5281/zenodo.8401787","name":"A THEORETICAL DESIGN OF A COMBINED AIR AND GROUND UNMANNED VEHICLE FOR SEARCH AND FOLLOW A DISASTER","source":"datacite","abstract":"The combination between unmanned ground vehicle and unmanned Ariel vehicle has become a matter of discussion lately in the field of robotics. This paper proposes a theoretical design of an unmanned vehicle with dimensions of (370 X 367 X 318 mm) which can fly as aerial vehicle and move on the ground, so it is considered unmanned ground vehicle as well. Subsequently, hybrid design is appropriate for following disaster robot because of the harsh environment. This investigation comprises literature review on some previous works in this regards along with the conception of the vehicle is argued in details with 3 D drawings. Furthermore, some calculations of the drag, lift forces and power consumption are performed. Finally, MATLAB plots are extracted to give an indication of the displacement response of the automobile in both X-Y axes.","url":"https://doi.org/10.5281/zenodo.8401787","authors":["YAZEN .H SHAKIR"],"tags":["Following a disaster robot","air and ground unmanned vehicle","quad-rotor with ground vehicle"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2017","doi":"10.5281/zenodo.8401787","addedAt":"2026-08-31T06:39:59.809Z","updatedAt":"2026-08-31T06:39:59.809Z"},{"id":"doi:10.5281/zenodo.8401788","name":"A THEORETICAL DESIGN OF A COMBINED AIR AND GROUND UNMANNED VEHICLE FOR SEARCH AND FOLLOW A DISASTER","source":"datacite","abstract":"The combination between unmanned ground vehicle and unmanned Ariel vehicle has become a matter of discussion lately in the field of robotics. This paper proposes a theoretical design of an unmanned vehicle with dimensions of (370 X 367 X 318 mm) which can fly as aerial vehicle and move on the ground, so it is considered unmanned ground vehicle as well. Subsequently, hybrid design is appropriate for following disaster robot because of the harsh environment. This investigation comprises literature review on some previous works in this regards along with the conception of the vehicle is argued in details with 3 D drawings. Furthermore, some calculations of the drag, lift forces and power consumption are performed. Finally, MATLAB plots are extracted to give an indication of the displacement response of the automobile in both X-Y axes.","url":"https://doi.org/10.5281/zenodo.8401788","authors":["YAZEN .H SHAKIR"],"tags":["Following a disaster robot","air and ground unmanned vehicle","quad-rotor with ground vehicle"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2017","doi":"10.5281/zenodo.8401788","addedAt":"2026-08-31T06:39:59.809Z","updatedAt":"2026-08-31T06:39:59.809Z"},{"id":"doi:10.6084/m9.figshare.24233704.v1","name":"drones-07-00191-v2 (4).pdf","source":"datacite","abstract":"The use of drones for package delivery, commonly known as drone delivery or unmanned aerial vehicle (UAV) delivery, has gained significant attention from academia and industries. Compared to traditional delivery methods, it provides greater flexibility, improved accessibility, increased speed and efficiency, enhanced safety, and even some environmental benefits. With the increasing interest in this technology, it is crucial for researchers and practitioners to understand the current state of the art in drone delivery. This paper aims to review the current literature on drone delivery and identify research trends, challenges, and future research directions. Specifically, the relevant literature is identified and selected using a systematic literature review approach. We then categorize the literature according to the characteristics and objectives of the problems and thoroughly analyze them based on mathematical formulations and solution techniques. We summarize key challenges and limitations associated with drone delivery from technological, safety, societal, and environmental aspects. Finally, potential research directions are identified.","url":"https://doi.org/10.6084/m9.figshare.24233704.v1","authors":["Tupayachi, Jose"],"tags":["Industrial engineering","Air transportation and freight services"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2023","doi":"10.6084/m9.figshare.24233704.v1","addedAt":"2026-08-31T06:39:59.809Z","updatedAt":"2026-08-31T06:39:59.809Z"},{"id":"doi:10.26265/polynoe-4990","name":"Detection and classification of grapevine varieties using multispectral image analysis and vegetation indices","source":"datacite","abstract":"The present master thesis focuses on investigating and analyzing issues related to the detection of grapevine varieties through the analysis of specific grapevine properties. These properties mostly concern the amount of chlorophyll present in the leaves of the plants, the overall health or the existence of any signs of stress, which affects significantly the process of photosynthesis and the density of the vines’ canopy. In order to provide a comprehensive theoretical approach of the issue, a narrative literature review was conducted, focusing on various aspects related to vines. This review encompassed an exploration of common diseases affecting vines, the methodologies employed for data collection and subsequent analysis, as well as the techniques used for identifying diseases or deficiencies in vine plants. Additionally, a systematic literature review was conducted to examine the identification of different vegetation varieties through image analysis. To evaluate the health status of the vine, vegetation indicators were employed with the aim of identifying the aforementioned properties. Data collection in the study area included multispectral images captured by other researchers in 2022 through a UAV (Unmanned Aerial Vehicle) flight over the vineyards of the Agricultural Products Technology Institute in Lykovrisi. These images were used to generate an orthophoto of the area, which was subsequently examined. The study area has the unique characteristic of housing wide and diverse vine varieties, comprising over a thousand different types. As part of the research, a sub-vineyard of four acres area was examined, encompassing a total of 112 vine varieties. To accurately detect the precise locations of each of these varieties, ground surveying measurements were taken and a vine map was created. To isolate the parts depicting vines οn the image, supervised classification algorithms were executed. After the classification process, a mask was applied to cover the areas of the image that represented shadows or the ground. In the remaining areas (vine areas), seven vegetation indices were implemented. Among these indices, two pairs that exhibited the least correlation with each other were selected, resulting in a total of four indices. The indices' outcomes were then incorporated by two clustering algorithms: a vector quantization algorithm and a probabilistic model. The primary objective of these algorithms was to group varieties with similar characteristics into classes. Each algorithm was implemented using the four vegetation indices, and their respective outputs were subsequently compared to identify the varieties classified in the same class by both algorithms. This process of identifying varieties with similar characteristics provides valuable insights into vine growth and health. Furthermore, it enables farmers to employ similar approaches on varieties with similar properties for essential works, such as watering, fertilization, and harvesting.","url":"https://doi.org/10.26265/polynoe-4990","authors":["Κουρουνιώτη, Ολυμπία"],"tags":["Machine learning","Multispectral images","Remote sensing","Vineyards","Clustering"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2023","doi":"10.26265/polynoe-4990","addedAt":"2026-08-31T06:39:59.809Z","updatedAt":"2026-08-31T06:39:59.809Z"},{"id":"doi:10.5281/zenodo.8358536","name":"Block-based compressive sensing in deep learning using AlexNet for vegetable classification","source":"datacite","abstract":"Vegetables can be distinguished according to differences in color, shape, and texture. The deep learning convolutional neural network (CNN) method is a technique that can be used to classify types of vegetables for various applications in agriculture. This study proposes a vegetable classification technique that uses the CNN Alexnet model and applies compressive sensing (CS) to reduce computing time and save storage space. In CS, discrete cosine transform (DCT) is applied for the sparsing process, Gaussian distribution for sampling, and orthogonal matching pursuit (OMP) for reconstruction. Simulation results on 600 images for four types of vegetables showed a maximum test accuracy of 98% for the Alexnet method, while the combined block-based CS using the Alexnet method produced a maximum accuracy of 96.66% with a compression ratio of 2×. Our results indicated that Alexnet CNN architecture and block-based CS in Alexnet can classify vegetable images better than previous methods.","url":"https://doi.org/10.5281/zenodo.8358536","authors":["Irawati, Indrarini Dyah","Budiman, Gelar","Saidah, Sofia","Rahmadiani, Suci","Latip, Rohaya"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2023","doi":"10.5281/zenodo.8358536","addedAt":"2026-08-31T06:39:59.809Z","updatedAt":"2026-08-31T06:39:59.809Z"},{"id":"doi:10.5281/zenodo.8358537","name":"Block-based compressive sensing in deep learning using AlexNet for vegetable classification","source":"datacite","abstract":"Vegetables can be distinguished according to differences in color, shape, and texture. The deep learning convolutional neural network (CNN) method is a technique that can be used to classify types of vegetables for various applications in agriculture. This study proposes a vegetable classification technique that uses the CNN Alexnet model and applies compressive sensing (CS) to reduce computing time and save storage space. In CS, discrete cosine transform (DCT) is applied for the sparsing process, Gaussian distribution for sampling, and orthogonal matching pursuit (OMP) for reconstruction. Simulation results on 600 images for four types of vegetables showed a maximum test accuracy of 98% for the Alexnet method, while the combined block-based CS using the Alexnet method produced a maximum accuracy of 96.66% with a compression ratio of 2×. Our results indicated that Alexnet CNN architecture and block-based CS in Alexnet can classify vegetable images better than previous methods.","url":"https://doi.org/10.5281/zenodo.8358537","authors":["Irawati, Indrarini Dyah","Budiman, Gelar","Saidah, Sofia","Rahmadiani, Suci","Latip, Rohaya"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2023","doi":"10.5281/zenodo.8358537","addedAt":"2026-08-31T06:39:59.809Z","updatedAt":"2026-08-31T06:39:59.809Z"},{"id":"doi:10.48550/arxiv.2309.03397","name":"Cooperative Multi-Agent Planning Framework for Fuel Constrained UAV-UGV Routing Problem","source":"datacite","abstract":"Unmanned Aerial Vehicles (UAVs), although adept at aerial surveillance, are often constrained by limited battery capacity. By refueling on slow-moving Unmanned Ground Vehicles (UGVs), their operational endurance can be significantly enhanced. This paper explores the computationally complex problem of cooperative UAV-UGV routing for vast area surveillance within the speed and fuel constraints, presenting a sequential multi-agent planning framework for achieving feasible and optimally satisfactory solutions. By considering the UAV fuel limits and utilizing a minimum set cover algorithm, we determine UGV refueling stops, which in turn facilitate UGV route planning at the first step and through a task allocation technique and energy constrained vehicle routing problem modeling with time windows (E-VRPTW) we achieve the UAV route at the second step of the framework. The effectiveness of our multi-agent strategy is demonstrated through the implementation on 30 different task scenarios across 3 different scales. This work offers significant insight into the collaborative advantages of UAV-UGV systems and introduces heuristic approaches to bypass computational challenges and swiftly reach high-quality solutions.","url":"https://doi.org/10.48550/arxiv.2309.03397","authors":["Mondal, Md Safwan","Ramasamy, Subramanian","Humann, James D.","Reddinger, Jean-Paul F.","Dotterweich, James M.","Childers, Marshal A.","Bhounsule, Pranav A."],"tags":["Robotics (cs.RO)","FOS: Computer and information sciences","FOS: Computer and information sciences"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2023","doi":"10.48550/arxiv.2309.03397","addedAt":"2026-08-31T06:39:59.809Z","updatedAt":"2026-08-31T06:39:59.809Z"},{"id":"doi:10.5281/zenodo.8305134","name":"Integration of AI-Enabled Drones For Real-Time Fish Stock Assessment and Monitoring In Aquaculture: Enhancing Precision, Efficiency, and Sustainability","source":"datacite","abstract":"Aquaculture plays a pivotal role in addressing the growing global demand for fish and marine products. Nevertheless, the effective management of aquaculture operations is contingent upon precise evaluation and surveillance of fish stocks. The conventional approaches used for evaluating fish stock may be characterised by their propensity for spending significant amounts of time and labour, as well as their susceptibility to human fallibility. In order to address these difficulties, the incorporation of artificial intelligence (AI)-enabled unmanned aerial vehicles (UAVs) into aquaculture practises offers a paradigm-shifting answer. This study examines the possible advantages, difficulties, and progressions linked to the incorporation of artificial intelligence (AI)-enabled unmanned aerial vehicles (UAVs) for the purpose of assessing and monitoring fish stocks in real-time. It emphasises how the use of this technology promotes accuracy, effectiveness, and sustainability in the field of aquaculture.","url":"https://doi.org/10.5281/zenodo.8305134","authors":["G, Sagar K"],"tags":["Fish stock assessment, Sustainability, AI-enabled drones, Data-driven decision-making, Drone technology, Machine learning"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2023","doi":"10.5281/zenodo.8305134","addedAt":"2026-08-31T06:39:59.809Z","updatedAt":"2026-08-31T06:39:59.809Z"},{"id":"doi:10.5281/zenodo.8305135","name":"Integration of AI-Enabled Drones For Real-Time Fish Stock Assessment and Monitoring In Aquaculture: Enhancing Precision, Efficiency, and Sustainability","source":"datacite","abstract":"Aquaculture plays a pivotal role in addressing the growing global demand for fish and marine products. Nevertheless, the effective management of aquaculture operations is contingent upon precise evaluation and surveillance of fish stocks. The conventional approaches used for evaluating fish stock may be characterised by their propensity for spending significant amounts of time and labour, as well as their susceptibility to human fallibility. In order to address these difficulties, the incorporation of artificial intelligence (AI)-enabled unmanned aerial vehicles (UAVs) into aquaculture practises offers a paradigm-shifting answer. This study examines the possible advantages, difficulties, and progressions linked to the incorporation of artificial intelligence (AI)-enabled unmanned aerial vehicles (UAVs) for the purpose of assessing and monitoring fish stocks in real-time. It emphasises how the use of this technology promotes accuracy, effectiveness, and sustainability in the field of aquaculture.","url":"https://doi.org/10.5281/zenodo.8305135","authors":["G, Sagar K"],"tags":["Fish stock assessment, Sustainability, AI-enabled drones, Data-driven decision-making, Drone technology, Machine learning"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2023","doi":"10.5281/zenodo.8305135","addedAt":"2026-08-31T06:39:59.809Z","updatedAt":"2026-08-31T06:39:59.809Z"},{"id":"doi:10.48577/jpl.76iqn2","name":"An investigation on the damping ratio of marine oil slicks in synthetic aperture radar imagery","source":"datacite","abstract":"The damping ratio has recently been used to indicate the relative internal oil thickness within oil slicks observed in synthetic aperture radar (SAR) imagery. However, there exists no well-defined and evaluated methodology for calculating the damping ratio. In this study, we review prior work regarding the damping ratio and outline its theoretical and practical aspects. We show that the most often used methodology yields damping ratio values that differ, in some cases significantly, for the same scene. Three alternative methods are tested on multifrequency data sets of verified oil slicks acquired from DLR’s F-SAR instrument, NASA’s Unmanned Aerial Vehicle Synthetic Aperture Radar (UAVSAR) and Sentinel- 1. All methods yielded similar results regarding relative thickness variations within slick. The proposed damping ratio derivation methods were found to be sensitive to the proportion of oil covered pixels versus open water pixels in the azimuth direction, as well as to the scene size in question. We show that the fully automatable histogram method provides the most consistent results even under challenging conditions. Comparisons between optical imagery and derived damping ratio values using F-SAR data show good agreement between the relatively thicker oil slick areas for the two different types of sensors.","url":"https://doi.org/10.48577/jpl.76iqn2","authors":["Jones, Cathleen"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2023","doi":"10.48577/jpl.76iqn2","addedAt":"2026-08-31T06:39:59.809Z","updatedAt":"2026-08-31T06:39:59.809Z"},{"id":"doi:10.48550/arxiv.2110.02429","name":"Autonomous Aerial Delivery Vehicles, a Survey of Techniques on how Aerial Package Delivery is Achieved","source":"datacite","abstract":"Autonomous aerial delivery vehicles have gained significant interest in the last decade. This has been enabled by technological advancements in aerial manipulators and novel grippers with enhanced force to weight ratios. Furthermore, improved control schemes and vehicle dynamics are better able to model the payload and improved perception algorithms to detect key features within the unmanned aerial vehicle's (UAV) environment. In this survey, a systematic review of the technological advancements and open research problems of autonomous aerial delivery vehicles is conducted. First, various types of manipulators and grippers are discussed in detail, along with dynamic modelling and control methods. Then, landing on static and dynamic platforms is discussed. Subsequently, risks such as weather conditions, state estimation and collision avoidance to ensure safe transit is considered. Finally, delivery UAV routing is investigated which categorises the topic into two areas: drone operations and drone-truck collaborative operations.","url":"https://doi.org/10.48550/arxiv.2110.02429","authors":["Saunders, Jack","Saeedi, Sajad","Li, Wenbin"],"tags":["Robotics (cs.RO)","Systems and Control (eess.SY)","FOS: Computer and information sciences","FOS: Computer and information sciences","FOS: Electrical engineering, electronic engineering, information engineering","FOS: Electrical engineering, electronic engineering, information engineering"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2021","doi":"10.48550/arxiv.2110.02429","addedAt":"2026-08-31T06:39:59.809Z","updatedAt":"2026-08-31T06:39:59.809Z"},{"id":"doi:10.48550/arxiv.2302.00622","name":"A survey of urban drive-by sensing: An optimization perspective","source":"datacite","abstract":"Pervasive and mobile sensing is an integral part of smart transport and smart city applications. Vehicle-based mobile sensing, or drive-by sensing (DS), is gaining popularity in both academic research and field practice. The DS paradigm has an inherent transport component, as the spatial-temporal distribution of the sensors are closely related to the mobility patterns of their hosts, which may include third-party (e.g. taxis, buses) or for-hire (e.g. unmanned aerial vehicles and dedicated vehicles) vehicles. It is therefore essential to understand, assess and optimize the sensing power of vehicle fleets under a wide range of urban sensing scenarios. To this end, this paper offers an optimization-oriented summary of recent literature by presenting a four-step discussion, namely (1) quantifying the sensing quality (objective); (2) assessing the sensing power of various fleets (strategic); (3) sensor deployment (strategic/tactical); and (4) vehicle maneuvers (tactical/operational). By compiling research findings and practical insights in this way, this review article not only highlights the optimization aspect of drive-by sensing, but also serves as a practical guide for configuring and deploying vehicle-based urban sensing systems.","url":"https://doi.org/10.48550/arxiv.2302.00622","authors":["Ji, Wen","Han, Ke","Liu, Tao"],"tags":["Networking and Internet Architecture (cs.NI)","Optimization and Control (math.OC)","FOS: Computer and information sciences","FOS: Computer and information sciences","FOS: Mathematics","FOS: Mathematics"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2023","doi":"10.48550/arxiv.2302.00622","addedAt":"2026-08-31T06:39:59.809Z","updatedAt":"2026-08-31T06:39:59.809Z"},{"id":"doi:10.5281/zenodo.8146326","name":"A Review of Unmanned Aerial Vehicle (UAV): Its Impact and Challenges","source":"datacite","abstract":"In the present day, unmanned aerial vehicles (UAV) are widely used in every field, almost from commercial purposes to military usage. The usage of UAVs has decreased the burden on humans, where manpower and risks during critical conditions (war fields) are reduced also. Consequently, the demand for the development of unmanned aerial vehicles is high. Understanding the theoretical design information of the UAV is difficult because of the lack of accessibility of its information sheets.","url":"https://doi.org/10.5281/zenodo.8146326","authors":["Muhammad Ahmad Baballe, Mukhtar Ibrahim Bello"],"tags":["Unmanned Aerial Vehicles (UAV); Security System; Target Tracking; Law Enforcement."],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2022","doi":"10.5281/zenodo.8146326","addedAt":"2026-08-31T06:39:59.809Z","updatedAt":"2026-08-31T06:39:59.809Z"},{"id":"doi:10.5281/zenodo.8146327","name":"A Review of Unmanned Aerial Vehicle (UAV): Its Impact and Challenges","source":"datacite","abstract":"In the present day, unmanned aerial vehicles (UAV) are widely used in every field, almost from commercial purposes to military usage. The usage of UAVs has decreased the burden on humans, where manpower and risks during critical conditions (war fields) are reduced also. Consequently, the demand for the development of unmanned aerial vehicles is high. Understanding the theoretical design information of the UAV is difficult because of the lack of accessibility of its information sheets.","url":"https://doi.org/10.5281/zenodo.8146327","authors":["Muhammad Ahmad Baballe, Mukhtar Ibrahim Bello"],"tags":["Unmanned Aerial Vehicles (UAV); Security System; Target Tracking; Law Enforcement."],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2022","doi":"10.5281/zenodo.8146327","addedAt":"2026-08-31T06:39:59.809Z","updatedAt":"2026-08-31T06:39:59.809Z"},{"id":"doi:10.5281/zenodo.7997189","name":"AUTONOMOUS VEHICLE FOR POLLUTED WATER QUALITY MONITORING AND CONTROLLING STRATEGIES","source":"datacite","abstract":"In this study, the sensor fusion technology is used as a basis to develop a multi-function unmanned surface vehicle for obstacle avoidance, water-quality monitoring, and water surface cleaning. We equip the autonomous boat with the following functions: (1) autonomous obstacle detection, avoidance, and navigation positioning, (2) water quality monitoring, sampling, and positioning, (3) water surface detection and cleaning, and (4) remote navigation control and real-time information display. The developed an autonomous water quality monitoring boat helps to monitor water parameters like pH, turbidity, temperature, and TDS (Total dissolved sloid) with detection and avoidance of living and non-living obstacle. The developed model is tested with ten water samples collected and the detected water parameters are communicated to the cloud server for further action.","url":"https://doi.org/10.5281/zenodo.7997189","authors":["SANIYA M. ANSARI","ANANYA CHATTOPADHYAY, ANJALI YADAV AND SAMRUDDHI BARDAPURKAR"],"tags":["water quality,IoT, sensor, turbidity"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2022","doi":"10.5281/zenodo.7997189","addedAt":"2026-08-31T06:39:59.809Z","updatedAt":"2026-08-31T06:39:59.809Z"},{"id":"doi:10.5281/zenodo.7997254","name":"AUTONOMOUS VEHICLE FOR POLLUTED WATER QUALITY MONITORING AND CONTROLLING STRATEGIES","source":"datacite","abstract":"In this study, the sensor fusion technology is used as a basis to develop a multi-function unmanned surface vehicle for obstacle avoidance, water-quality monitoring, and water surface cleaning. We equip the autonomous boat with the following functions: (1) autonomous obstacle detection, avoidance, and navigation positioning, (2) water quality monitoring, sampling, and positioning, (3) water surface detection and cleaning, and (4) remote navigation control and real-time information display. The developed an autonomous water quality monitoring boat helps to monitor water parameters like pH, turbidity, temperature, and TDS (Total dissolved sloid) with detection and avoidance of living and non-living obstacle. The developed model is tested with ten water samples collected and the detected water parameters are communicated to the cloud server for further action.","url":"https://doi.org/10.5281/zenodo.7997254","authors":["SANIYA M. ANSARI","ANANYA CHATTOPADHYAY, ANJALI YADAV AND SAMRUDDHI BARDAPURKAR"],"tags":["water quality,IoT, sensor, turbidity"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2022","doi":"10.5281/zenodo.7997254","addedAt":"2026-08-31T06:39:59.809Z","updatedAt":"2026-08-31T06:39:59.809Z"},{"id":"doi:10.5281/zenodo.7997190","name":"AUTONOMOUS VEHICLE FOR POLLUTED WATER QUALITY MONITORING AND CONTROLLING STRATEGIES","source":"datacite","abstract":"In this study, the sensor fusion technology is used as a basis to develop a multi-function unmanned surface vehicle for obstacle avoidance, water-quality monitoring, and water surface cleaning. We equip the autonomous boat with the following functions: (1) autonomous obstacle detection, avoidance, and navigation positioning, (2) water quality monitoring, sampling, and positioning, (3) water surface detection and cleaning, and (4) remote navigation control and real-time information display. The developed an autonomous water quality monitoring boat helps to monitor water parameters like pH, turbidity, temperature, and TDS (Total dissolved sloid) with detection and avoidance of living and non-living obstacle. The developed model is tested with ten water samples collected and the detected water parameters are communicated to the cloud server for further action.","url":"https://doi.org/10.5281/zenodo.7997190","authors":["SANIYA M. ANSARI","ANANYA CHATTOPADHYAY, ANJALI YADAV AND SAMRUDDHI BARDAPURKAR"],"tags":["water quality,IoT, sensor, turbidity"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2022","doi":"10.5281/zenodo.7997190","addedAt":"2026-08-31T06:39:59.809Z","updatedAt":"2026-08-31T06:39:59.809Z"},{"id":"doi:10.5281/zenodo.7898711","name":"Performance Analysis of Unmanned Aerial Vehicles (UAV) for Improved Aerial Surveillance","source":"datacite","abstract":"Unmanned Aerial Vehicles (UAVs) have been used for so many applications. One such application is patrolling and surveillance, which involves moving from one defined geographic region to the other in a search for possible security threats to the public. The search area (Surveillance zone) could be bounded or grow continuously. This fact, together with the presence of naturally rough, changing territory and the possibility of bad weather, poses a huge challenge to security personnel that otherwise use the land patrol method. Aerial platforms (UAVs) can be advantageous in patrolling and surveillance due to their ability to provide constant performance missions without getting tired and their lower vulnerability to harsh weather conditions compared to humans. A coordinated team or swamp of UAVs that can assist security personnel by autonomously performing missions such as patrolling, surveillance, detections and sending information to the Ground Control Station (GCS) possibly the police station, would be of great value. However, to date, a suitable UAV coordination for autonomous surveillance that can satisfactorily address the issues relating to security threats is lacking in Nigeria. In this study, a UAV was deployed, and patrolling missions were investigated the speed was determined as a low speed, which is 10.152𝑘𝑚/ℎ , a force of 1.4N acted on the vehicle, the tilting angles of the propellers were measured to be 15 °, propeller efficiency is calculated to be 81%. The UAV was investigated to have a good performance in terms of flight, it attained a very high altitude which was good enough for video coverage but had a limitation of endurance due to battery capacity. Hence various energy management methods were studied, and the best energy management is a hybrid energy source (combination of battery, solar and PEM fuel cell) on board the vehicle. Lastly, the cellular communication between the (GCS) and UAV was considered and the Wi-Fi (communication range of up to 200m with a control radius of 37m was obtained.","url":"https://doi.org/10.5281/zenodo.7898711","authors":["Elechi, P.","Orike, S.","Wonodi, C.O."],"tags":["UAV, Surveillance, Flight, Battery capacity, Ground control"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2023","doi":"10.5281/zenodo.7898711","addedAt":"2026-08-31T06:39:59.809Z","updatedAt":"2026-08-31T06:39:59.809Z"},{"id":"doi:10.5281/zenodo.7898712","name":"Performance Analysis of Unmanned Aerial Vehicles (UAV) for Improved Aerial Surveillance","source":"datacite","abstract":"Unmanned Aerial Vehicles (UAVs) have been used for so many applications. One such application is patrolling and surveillance, which involves moving from one defined geographic region to the other in a search for possible security threats to the public. The search area (Surveillance zone) could be bounded or grow continuously. This fact, together with the presence of naturally rough, changing territory and the possibility of bad weather, poses a huge challenge to security personnel that otherwise use the land patrol method. Aerial platforms (UAVs) can be advantageous in patrolling and surveillance due to their ability to provide constant performance missions without getting tired and their lower vulnerability to harsh weather conditions compared to humans. A coordinated team or swamp of UAVs that can assist security personnel by autonomously performing missions such as patrolling, surveillance, detections and sending information to the Ground Control Station (GCS) possibly the police station, would be of great value. However, to date, a suitable UAV coordination for autonomous surveillance that can satisfactorily address the issues relating to security threats is lacking in Nigeria. In this study, a UAV was deployed, and patrolling missions were investigated the speed was determined as a low speed, which is 10.152𝑘𝑚/ℎ , a force of 1.4N acted on the vehicle, the tilting angles of the propellers were measured to be 15 °, propeller efficiency is calculated to be 81%. The UAV was investigated to have a good performance in terms of flight, it attained a very high altitude which was good enough for video coverage but had a limitation of endurance due to battery capacity. Hence various energy management methods were studied, and the best energy management is a hybrid energy source (combination of battery, solar and PEM fuel cell) on board the vehicle. Lastly, the cellular communication between the (GCS) and UAV was considered and the Wi-Fi (communication range of up to 200m with a control radius of 37m was obtained.","url":"https://doi.org/10.5281/zenodo.7898712","authors":["Elechi, P.","Orike, S.","Wonodi, C.O."],"tags":["UAV, Surveillance, Flight, Battery capacity, Ground control"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2023","doi":"10.5281/zenodo.7898712","addedAt":"2026-08-31T06:39:59.809Z","updatedAt":"2026-08-31T06:39:59.809Z"},{"id":"doi:10.5281/zenodo.7839426","name":"A THEORETICAL DESIGN OF A COMBINED AIR AND GROUND UNMANNED VEHICLE FOR SEARCH AND FOLLOW A DISASTER","source":"datacite","abstract":"The combination between unmanned ground vehicle and unmanned Ariel vehicle has become a matter of discussion lately in the field of robotics. This paper proposes a theoretical design of an unmanned vehicle with dimensions of (370 X 367 X 318 mm) which can fly as aerial vehicle and move on the ground, so it is considered unmanned ground vehicle as well. Subsequently, hybrid design is appropriate for following disaster robot because of the harsh environment. This investigation comprises literature review on some previous works in this regards along with the conception of the vehicle is argued in details with 3 D drawings. Furthermore, some calculations of the drag, lift forces and power consumption are performed. Finally, MATLAB plots are extracted to give an indication of the displacement response of the automobile in both X-Y axes.","url":"https://doi.org/10.5281/zenodo.7839426","authors":["YAZEN .H SHAKIR"],"tags":["Following a disaster robot","air and ground unmanned vehicle","quad-rotor with ground vehicle"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2017","doi":"10.5281/zenodo.7839426","addedAt":"2026-08-31T06:39:59.809Z","updatedAt":"2026-08-31T06:39:59.809Z"},{"id":"doi:10.5281/zenodo.7839427","name":"A THEORETICAL DESIGN OF A COMBINED AIR AND GROUND UNMANNED VEHICLE FOR SEARCH AND FOLLOW A DISASTER","source":"datacite","abstract":"The combination between unmanned ground vehicle and unmanned Ariel vehicle has become a matter of discussion lately in the field of robotics. This paper proposes a theoretical design of an unmanned vehicle with dimensions of (370 X 367 X 318 mm) which can fly as aerial vehicle and move on the ground, so it is considered unmanned ground vehicle as well. Subsequently, hybrid design is appropriate for following disaster robot because of the harsh environment. This investigation comprises literature review on some previous works in this regards along with the conception of the vehicle is argued in details with 3 D drawings. Furthermore, some calculations of the drag, lift forces and power consumption are performed. Finally, MATLAB plots are extracted to give an indication of the displacement response of the automobile in both X-Y axes.","url":"https://doi.org/10.5281/zenodo.7839427","authors":["YAZEN .H SHAKIR"],"tags":["Following a disaster robot","air and ground unmanned vehicle","quad-rotor with ground vehicle"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2017","doi":"10.5281/zenodo.7839427","addedAt":"2026-08-31T06:39:59.809Z","updatedAt":"2026-08-31T06:39:59.809Z"},{"id":"doi:10.48550/arxiv.2304.01305","name":"PyFlyt -- UAV Simulation Environments for Reinforcement Learning Research","source":"datacite","abstract":"Unmanned aerial vehicles (UAVs) have numerous applications, but their efficient and optimal flight can be a challenge. Reinforcement Learning (RL) has emerged as a promising approach to address this challenge, yet there is no standardized library for testing and benchmarking RL algorithms on UAVs. In this paper, we introduce PyFlyt, a platform built on the Bullet physics engine with native Gymnasium API support. PyFlyt provides modular implementations of simple components, such as motors and lifting surfaces, allowing for the implementation of UAVs of arbitrary configurations. Additionally, PyFlyt includes various task definitions and multiple reward function settings for each vehicle type. We demonstrate the effectiveness of PyFlyt by training various RL agents for two UAV models: quadrotor and fixed-wing. Our findings highlight the effectiveness of RL in UAV control and planning, and further show that it is possible to train agents in sparse reward settings for UAVs. PyFlyt fills a gap in existing literature by providing a flexible and standardised platform for testing RL algorithms on UAVs. We believe that this will inspire more standardised research in this direction.","url":"https://doi.org/10.48550/arxiv.2304.01305","authors":["Tai, Jun Jet","Wong, Jim","Innocente, Mauro","Horri, Nadjim","Brusey, James","Phang, Swee King"],"tags":["Robotics (cs.RO)","FOS: Computer and information sciences","FOS: Computer and information sciences"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2023","doi":"10.48550/arxiv.2304.01305","addedAt":"2026-08-31T06:39:59.809Z","updatedAt":"2026-08-31T06:39:59.809Z"},{"id":"doi:10.48550/arxiv.2303.15803","name":"Vision based UAV Navigation through Narrow Passages","source":"datacite","abstract":"This research paper presents a novel approach for navigating a micro UAV (Unmanned Aerial Vehicle) through narrow passages using only its onboard camera feed and a PID control system. The proposed method uses edge detection and homography techniques to extract the key features of the passage from the camera feed and then employs a tuned PID controller to guide the UAV through and out of the passage while avoiding collisions with the walls. To evaluate the effectiveness of the proposed approach, a series of experiments were conducted using a micro-UAV navigating in and out of a custom-built test environment (constrained rectangular box). The results demonstrate that the system is able to successfully guide the UAV through the passages while avoiding collisions with the walls.","url":"https://doi.org/10.48550/arxiv.2303.15803","authors":["Kumar, Jayakant","Himanshu","Kandath, Harikumar","Agrawal, Pooja"],"tags":["Robotics (cs.RO)","FOS: Computer and information sciences","FOS: Computer and information sciences"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2023","doi":"10.48550/arxiv.2303.15803","addedAt":"2026-08-31T06:39:59.809Z","updatedAt":"2026-08-31T06:39:59.809Z"},{"id":"doi:10.5281/zenodo.7744483","name":"Multi-Agent Drone as Loitering Munition System to Support Military Operations Carrying Out Policy Mandate","source":"datacite","abstract":"Unmanned Aerial Vehicle (UAV) also known as drones is a part of the integration of hardware, software and computerized systems to support defense. The use of drones, especially to support military operations, will be more powerful if used massively and equipped with certain explosives as target destroyers. The target in question can be designated for point targets or target areas that are quite large in accordance with the integrated explosive composition texture. The attack or combat drone technology that is currently being considered in carrying out operational missions is the Loitering Munition System (LMS). LMS is a drone that is used as a weapon equipped with certain explosives and commits suicide (kamikaze) in groups or swarms. PT. \"EnrolSistem Indonesia\" is one of the drone technology activists in Indonesia that has made hardware, software and computerized systems that are able to fly 3 MiniBe drones together. In this paper, we will develop a swarmbased kamikaze drone or suicide drone based on MiniBe. Drones will be flown 3 units at once and will commit \"suicide\" on a predetermined target location in the form of a point or area. Drones will be used to paralyze operational targets including operational support in the form of enemy command posts, enemy or terrorist hideouts including radar antenna equipment, telecommunication antennas, surveillance centers and so on with more devastating power if drones equipped with certain explosives are used in swarms. This innovation will be encouraged as a domestic capability, especially local content in the drone sector to support military operations in Indonesia and is also a mandate from Law 16/2012 concerning the Defense Industry, along with its implementing regulations, namely Government Regulation No. 76/2014 on the implementation of countertrade, local content and offsets and Minister of Defense Rule 39/2016 Development of Defense Industrial Technology. It is hoped that this LMS innovation can support the fulfillment of one of the Defense and Security Equipment Tools independently","url":"https://doi.org/10.5281/zenodo.7744483","authors":["Ambodo, Tri","Guntur Eko Saputro","Ulfia Nurhasanah Komariah"],"tags":["-Loitering Munition System,","Law 16/2012 and its derivatives","Local Content,","Defense Equipment Tools,"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2023","doi":"10.5281/zenodo.7744483","addedAt":"2026-08-31T06:39:59.809Z","updatedAt":"2026-08-31T06:39:59.809Z"},{"id":"doi:10.5281/zenodo.7744484","name":"Multi-Agent Drone as Loitering Munition System to Support Military Operations Carrying Out Policy Mandate","source":"datacite","abstract":"Unmanned Aerial Vehicle (UAV) also known as drones is a part of the integration of hardware, software and computerized systems to support defense. The use of drones, especially to support military operations, will be more powerful if used massively and equipped with certain explosives as target destroyers. The target in question can be designated for point targets or target areas that are quite large in accordance with the integrated explosive composition texture. The attack or combat drone technology that is currently being considered in carrying out operational missions is the Loitering Munition System (LMS). LMS is a drone that is used as a weapon equipped with certain explosives and commits suicide (kamikaze) in groups or swarms. PT. \"EnrolSistem Indonesia\" is one of the drone technology activists in Indonesia that has made hardware, software and computerized systems that are able to fly 3 MiniBe drones together. In this paper, we will develop a swarmbased kamikaze drone or suicide drone based on MiniBe. Drones will be flown 3 units at once and will commit \"suicide\" on a predetermined target location in the form of a point or area. Drones will be used to paralyze operational targets including operational support in the form of enemy command posts, enemy or terrorist hideouts including radar antenna equipment, telecommunication antennas, surveillance centers and so on with more devastating power if drones equipped with certain explosives are used in swarms. This innovation will be encouraged as a domestic capability, especially local content in the drone sector to support military operations in Indonesia and is also a mandate from Law 16/2012 concerning the Defense Industry, along with its implementing regulations, namely Government Regulation No. 76/2014 on the implementation of countertrade, local content and offsets and Minister of Defense Rule 39/2016 Development of Defense Industrial Technology. It is hoped that this LMS innovation can support the fulfillment of one of the Defense and Security Equipment Tools independently","url":"https://doi.org/10.5281/zenodo.7744484","authors":["Ambodo, Tri","Guntur Eko Saputro","Ulfia Nurhasanah Komariah"],"tags":["-Loitering Munition System,","Law 16/2012 and its derivatives","Local Content,","Defense Equipment Tools,"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2023","doi":"10.5281/zenodo.7744484","addedAt":"2026-08-31T06:39:59.809Z","updatedAt":"2026-08-31T06:39:59.809Z"},{"id":"doi:10.48550/arxiv.2212.05028","name":"A systematic literature review on Security of Unmanned Aerial Vehicle Systems","source":"datacite","abstract":"Unmanned aerial vehicles (UAVs) are becoming more common, and their operational range is expanding tremendously, making the security aspect of the inquiry essential. This study does a thorough assessment of the literature to determine the most common cyberattacks and the effects they have on UAV assaults on civilian targets. The STRIDE assault paradigm, the challenge they present, and the proper tools for the attack are used to categorize the cyber dangers discussed in this paper. Spoofing and denial of service assaults are the most prevalent types of UAV cyberattacks and have the best results. No attack style demands the employment of a hard-to-reach gadget, indicating that the security environment currently necessitates improvements to UAV use in civilian applications.","url":"https://doi.org/10.48550/arxiv.2212.05028","authors":["Patel, Tirth","Salot, Niyatiben","Parikh, Vrusha"],"tags":["Cryptography and Security (cs.CR)","Networking and Internet Architecture (cs.NI)","FOS: Computer and information sciences","FOS: Computer and information sciences"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2022","doi":"10.48550/arxiv.2212.05028","addedAt":"2026-08-31T06:39:59.809Z","updatedAt":"2026-08-31T06:39:59.809Z"},{"id":"doi:10.5281/zenodo.7219142","name":"A THEORETICAL DESIGN OF A COMBINED AIR AND GROUND UNMANNED VEHICLE FOR SEARCH AND FOLLOW A DISASTER","source":"datacite","abstract":"The combination between unmanned ground vehicle and unmanned Ariel vehicle has become a matter of discussion lately in the field of robotics. This paper proposes a theoretical design of an unmanned vehicle with dimensions of (370 X 367 X 318 mm) which can fly as aerial vehicle and move on the ground, so it is considered unmanned ground vehicle as well. Subsequently, hybrid design is appropriate for following disaster robot because of the harsh environment. This investigation comprises literature review on some previous works in this regards along with the conception of the vehicle is argued in details with 3 D drawings. Furthermore, some calculations of the drag, lift forces and power consumption are performed. Finally, MATLAB plots are extracted to give an indication of the displacement response of the automobile in both X-Y axes.","url":"https://doi.org/10.5281/zenodo.7219142","authors":["YAZEN .H SHAKIR"],"tags":["Following a disaster robot","air and ground unmanned vehicle","quad-rotor with ground vehicle"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2017","doi":"10.5281/zenodo.7219142","addedAt":"2026-08-31T06:39:59.809Z","updatedAt":"2026-08-31T06:39:59.809Z"},{"id":"doi:10.5281/zenodo.7219143","name":"A THEORETICAL DESIGN OF A COMBINED AIR AND GROUND UNMANNED VEHICLE FOR SEARCH AND FOLLOW A DISASTER","source":"datacite","abstract":"The combination between unmanned ground vehicle and unmanned Ariel vehicle has become a matter of discussion lately in the field of robotics. This paper proposes a theoretical design of an unmanned vehicle with dimensions of (370 X 367 X 318 mm) which can fly as aerial vehicle and move on the ground, so it is considered unmanned ground vehicle as well. Subsequently, hybrid design is appropriate for following disaster robot because of the harsh environment. This investigation comprises literature review on some previous works in this regards along with the conception of the vehicle is argued in details with 3 D drawings. Furthermore, some calculations of the drag, lift forces and power consumption are performed. Finally, MATLAB plots are extracted to give an indication of the displacement response of the automobile in both X-Y axes.","url":"https://doi.org/10.5281/zenodo.7219143","authors":["YAZEN .H SHAKIR"],"tags":["Following a disaster robot","air and ground unmanned vehicle","quad-rotor with ground vehicle"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2017","doi":"10.5281/zenodo.7219143","addedAt":"2026-08-31T06:39:59.809Z","updatedAt":"2026-08-31T06:39:59.809Z"},{"id":"doi:10.48550/arxiv.2110.13484","name":"Applications of Multi-Agent Reinforcement Learning in Future Internet: A Comprehensive Survey","source":"datacite","abstract":"Future Internet involves several emerging technologies such as 5G and beyond 5G networks, vehicular networks, unmanned aerial vehicle (UAV) networks, and Internet of Things (IoTs). Moreover, future Internet becomes heterogeneous and decentralized with a large number of involved network entities. Each entity may need to make its local decision to improve the network performance under dynamic and uncertain network environments. Standard learning algorithms such as single-agent Reinforcement Learning (RL) or Deep Reinforcement Learning (DRL) have been recently used to enable each network entity as an agent to learn an optimal decision-making policy adaptively through interacting with the unknown environments. However, such an algorithm fails to model the cooperations or competitions among network entities, and simply treats other entities as a part of the environment that may result in the non-stationarity issue. Multi-agent Reinforcement Learning (MARL) allows each network entity to learn its optimal policy by observing not only the environments, but also other entities' policies. As a result, MARL can significantly improve the learning efficiency of the network entities, and it has been recently used to solve various issues in the emerging networks. In this paper, we thus review the applications of MARL in the emerging networks. In particular, we provide a tutorial of MARL and a comprehensive survey of applications of MARL in next generation Internet. In particular, we first introduce single-agent RL and MARL. Then, we review a number of applications of MARL to solve emerging issues in future Internet. The issues consist of network access, transmit power control, computation offloading, content caching, packet routing, trajectory design for UAV-aided networks, and network security issues.","url":"https://doi.org/10.48550/arxiv.2110.13484","authors":["Li, Tianxu","Zhu, Kun","Luong, Nguyen Cong","Niyato, Dusit","Wu, Qihui","Zhang, Yang","Chen, Bing"],"tags":["Artificial Intelligence (cs.AI)","Machine Learning (cs.LG)","Multiagent Systems (cs.MA)","FOS: Computer and information sciences","FOS: Computer and information sciences"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2021","doi":"10.48550/arxiv.2110.13484","addedAt":"2026-08-31T06:39:59.809Z","updatedAt":"2026-08-31T06:39:59.809Z"},{"id":"doi:10.48550/arxiv.2208.12328","name":"Autonomous Unmanned Aerial Vehicle Navigation using Reinforcement Learning: A Systematic Review","source":"datacite","abstract":"There is an increasing demand for using Unmanned Aerial Vehicle (UAV), known as drones, in different applications such as packages delivery, traffic monitoring, search and rescue operations, and military combat engagements. In all of these applications, the UAV is used to navigate the environment autonomously - without human interaction, perform specific tasks and avoid obstacles. Autonomous UAV navigation is commonly accomplished using Reinforcement Learning (RL), where agents act as experts in a domain to navigate the environment while avoiding obstacles. Understanding the navigation environment and algorithmic limitations plays an essential role in choosing the appropriate RL algorithm to solve the navigation problem effectively. Consequently, this study first identifies the main UAV navigation tasks and discusses navigation frameworks and simulation software. Next, RL algorithms are classified and discussed based on the environment, algorithm characteristics, abilities, and applications in different UAV navigation problems, which will help the practitioners and researchers select the appropriate RL algorithms for their UAV navigation use cases. Moreover, identified gaps and opportunities will drive UAV navigation research.","url":"https://doi.org/10.48550/arxiv.2208.12328","authors":["AlMahamid, Fadi","Grolinger, Katarina"],"tags":["Robotics (cs.RO)","Artificial Intelligence (cs.AI)","FOS: Computer and information sciences","FOS: Computer and information sciences"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2022","doi":"10.48550/arxiv.2208.12328","addedAt":"2026-08-31T06:39:59.809Z","updatedAt":"2026-08-31T06:39:59.809Z"},{"id":"doi:10.5281/zenodo.7005315","name":"Climate Change, Strategic Planning, and Impact of IoT and AI Assisted Home Automated and Smart Agricultural Novel Systems","source":"datacite","abstract":"Climate Change, Monsoon Pattern Change, lack of labour, rising labour and farming cost, crop failures linked to unforeseen production caused by diseases, soil degradation, and as well as rapidly changing market prices in agricultural products are the main Challenges. Strategic planning, use of Novel Systems, and Home automation are the solutions to adversely impacting agricultural development with new future possibilities for better Human Civilization. Home automated Novel Systems having alert and notifications features incorporate strategic planning and are intelligent, effective, and efficient with many more features is also useful for the Agriculture sector. The marketplace needs massive food, and current agricultural modernization approaches call for substantial energy inputs. Economic factors play a vital role. On the other hand, increased demand for food cereals as a result of population growth has led to an increase in the cost of agricultural commodities. Internet of things (IoT) and Artificial Intelligence (AI) have changed trends in Smart Agriculture. IoT and AI assisted Home Automated and Smart Agricultural Novel Systems created new future possibilities, and helps in strategic planning and impacting from Home Automation with alerts and notifications to large agriculture fields in a positive way by working as Executive Decision Support System (EDSS). It also has the potential to minimise farmer losses, produce high yield, significantly raise the quality of produced food, lower labour costs, boosts farmer incomes, and fully achieve agricultural modernization are the important features of Novel Systems with IoT and AI assisted clever agricultural techniques along with increasing agricultural productivity and helps for Global Economy and food security for Nations. The goal of the current research paper is to review various recent trends and explore new future possibilities, strategic planning, and the Impact of IoT and AI assisted Home Automated and Smart Agricultural Novel Systems in Climate Change and Monsoon Pattern Change scenarios.","url":"https://doi.org/10.5281/zenodo.7005315","authors":["Kirankumar P. Johare","Vasant G. Wagh","Shaligram, Arvind D.","Gaikwad, Krishna N."],"tags":["Climate Change","Internet of Things","Artificial Intelligence","Smart Agriculture","Economy","Home Automation","Executive Decision Support System"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2022","doi":"10.5281/zenodo.7005315","addedAt":"2026-08-31T06:39:59.809Z","updatedAt":"2026-08-31T06:39:59.809Z"},{"id":"doi:10.5281/zenodo.7005316","name":"Climate Change, Strategic Planning, and Impact of IoT and AI Assisted Home Automated and Smart Agricultural Novel Systems","source":"datacite","abstract":"Climate Change, Monsoon Pattern Change, lack of labour, rising labour and farming cost, crop failures linked to unforeseen production caused by diseases, soil degradation, and as well as rapidly changing market prices in agricultural products are the main Challenges. Strategic planning, use of Novel Systems, and Home automation are the solutions to adversely impacting agricultural development with new future possibilities for better Human Civilization. Home automated Novel Systems having alert and notifications features incorporate strategic planning and are intelligent, effective, and efficient with many more features is also useful for the Agriculture sector. The marketplace needs massive food, and current agricultural modernization approaches call for substantial energy inputs. Economic factors play a vital role. On the other hand, increased demand for food cereals as a result of population growth has led to an increase in the cost of agricultural commodities. Internet of things (IoT) and Artificial Intelligence (AI) have changed trends in Smart Agriculture. IoT and AI assisted Home Automated and Smart Agricultural Novel Systems created new future possibilities, and helps in strategic planning and impacting from Home Automation with alerts and notifications to large agriculture fields in a positive way by working as Executive Decision Support System (EDSS). It also has the potential to minimise farmer losses, produce high yield, significantly raise the quality of produced food, lower labour costs, boosts farmer incomes, and fully achieve agricultural modernization are the important features of Novel Systems with IoT and AI assisted clever agricultural techniques along with increasing agricultural productivity and helps for Global Economy and food security for Nations. The goal of the current research paper is to review various recent trends and explore new future possibilities, strategic planning, and the Impact of IoT and AI assisted Home Automated and Smart Agricultural Novel Systems in Climate Change and Monsoon Pattern Change scenarios.","url":"https://doi.org/10.5281/zenodo.7005316","authors":["Kirankumar P. Johare","Vasant G. Wagh","Shaligram, Arvind D.","Gaikwad, Krishna N."],"tags":["Climate Change","Internet of Things","Artificial Intelligence","Smart Agriculture","Economy","Home Automation","Executive Decision Support System"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2022","doi":"10.5281/zenodo.7005316","addedAt":"2026-08-31T06:39:59.809Z","updatedAt":"2026-08-31T06:39:59.809Z"},{"id":"doi:10.48550/arxiv.2205.04281","name":"Siamese Object Tracking for Unmanned Aerial Vehicle: A Review and Comprehensive Analysis","source":"datacite","abstract":"Unmanned aerial vehicle (UAV)-based visual object tracking has enabled a wide range of applications and attracted increasing attention in the field of intelligent transportation systems because of its versatility and effectiveness. As an emerging force in the revolutionary trend of deep learning, Siamese networks shine in UAV-based object tracking with their promising balance of accuracy, robustness, and speed. Thanks to the development of embedded processors and the gradual optimization of deep neural networks, Siamese trackers receive extensive research and realize preliminary combinations with UAVs. However, due to the UAV's limited onboard computational resources and the complex real-world circumstances, aerial tracking with Siamese networks still faces severe obstacles in many aspects. To further explore the deployment of Siamese networks in UAV-based tracking, this work presents a comprehensive review of leading-edge Siamese trackers, along with an exhaustive UAV-specific analysis based on the evaluation using a typical UAV onboard processor. Then, the onboard tests are conducted to validate the feasibility and efficacy of representative Siamese trackers in real-world UAV deployment. Furthermore, to better promote the development of the tracking community, this work analyzes the limitations of existing Siamese trackers and conducts additional experiments represented by low-illumination evaluations. In the end, prospects for the development of Siamese tracking for UAV-based intelligent transportation systems are deeply discussed. The unified framework of leading-edge Siamese trackers, i.e., code library, and the results of their experimental evaluations are available at https://github.com/vision4robotics/SiameseTracking4UAV .","url":"https://doi.org/10.48550/arxiv.2205.04281","authors":["Fu, Changhong","Lu, Kunhan","Zheng, Guangze","Ye, Junjie","Cao, Ziang","Li, Bowen","Lu, Geng"],"tags":["Computer Vision and Pattern Recognition (cs.CV)","FOS: Computer and information sciences","FOS: Computer and information sciences"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2022","doi":"10.48550/arxiv.2205.04281","addedAt":"2026-08-31T06:39:59.809Z","updatedAt":"2026-08-31T06:39:59.809Z"},{"id":"doi:10.1109/icsc64553.2025.10967755","name":"Unmanned Aerial Vehicle (UAV) Types, Sensors, Control &amp; Applications: A Review","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icsc64553.2025.10967755","authors":["Munish Patial","Rajiv Kumar","M. J. Nigam"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-04-24T17:03:03Z","doi":"10.1109/icsc64553.2025.10967755","addedAt":"2026-08-31T06:40:00.187Z","updatedAt":"2026-08-31T06:40:02.531Z"},{"id":"doi:10.1109/access.2022.3208571","name":"Unmanned Aerial Vehicle Communications for Civil Applications: A Review","source":"crossref","abstract":"","url":"https://doi.org/10.1109/access.2022.3208571","authors":["Mohammad Ghamari","Pablo Rangel","Mehrube Mehrubeoglu","Girma S. Tewolde","R. Simon Sherratt"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2022-09-22T19:01:19Z","doi":"10.1109/access.2022.3208571","addedAt":"2026-08-31T06:40:00.187Z","updatedAt":"2026-08-31T06:40:00.187Z"},{"id":"doi:10.1109/eecr69522.2026.11548661","name":"Unmanned Aerial Vehicle Navigation in Complex Environments: A Review","source":"crossref","abstract":"","url":"https://doi.org/10.1109/eecr69522.2026.11548661","authors":["Sai Htet Moe Swe","Loulin Huang","Achala Perera"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-06-12T19:40:44Z","doi":"10.1109/eecr69522.2026.11548661","addedAt":"2026-08-31T06:40:00.187Z","updatedAt":"2026-08-31T06:40:00.495Z"},{"id":"doi:10.3390/rs11121443","name":"Unmanned Aerial Vehicle for Remote Sensing Applications—A Review","source":"crossref","abstract":"The unmanned aerial vehicle (UAV) sensors and platforms nowadays are being used in almost every application (e.g., agriculture, forestry, and mining) that needs observed information from the top or oblique views. While they intend to be a general remote sensing (RS) tool, the relevant RS data processing and analysis methods are still largely ad-hoc to applications. Although the obvious advantages of UAV data are their high spatial resolution and flexibility in acquisition and sensor integration, there is in general a lack of systematic analysis on how these characteristics alter solutions for typical RS tasks such as land-cover classification, change detection, and thematic mapping. For instance, the ultra-high-resolution data (less than 10 cm of Ground Sampling Distance (GSD)) bring more unwanted classes of objects (e.g., pedestrian and cars) in land-cover classification; the often available 3D data generated from photogrammetric images call for more advanced techniques for geometric and spectral analysis. In this paper, we perform a critical review on RS tasks that involve UAV data and their derived products as their main sources including raw perspective images, digital surface models, and orthophotos. In particular, we focus on solutions that address the “new” aspects of the UAV data including (1) ultra-high resolution; (2) availability of coherent geometric and spectral data; and (3) capability of simultaneously using multi-sensor data for fusion. Based on these solutions, we provide a brief summary of existing examples of UAV-based RS in agricultural, environmental, urban, and hazards assessment applications, etc., and by discussing their practical potentials, we share our views in their future research directions and draw conclusive remarks.","url":"https://doi.org/10.3390/rs11121443","authors":["Huang Yao","Rongjun Qin","Xiaoyu Chen"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2019-06-19T02:42:46Z","doi":"10.3390/rs11121443","addedAt":"2026-08-31T06:40:00.187Z","updatedAt":"2026-08-31T06:40:00.187Z"},{"id":"doi:10.1109/maes.2014.130173","name":"Developments in unmanned powered parachute aerial vehicle: A review","source":"crossref","abstract":"","url":"https://doi.org/10.1109/maes.2014.130173","authors":["Vindhya Devalla","Om Prakash"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2014-12-19T20:26:51Z","doi":"10.1109/maes.2014.130173","addedAt":"2026-08-31T06:40:00.187Z","updatedAt":"2026-08-31T06:40:00.187Z"},{"id":"doi:10.2478/raft-2018-0039","name":"Robust\n                    <i>H</i>\n                    ∞ Optimal Controller Design for The Small Unmanned Aerial Vehicle","source":"crossref","abstract":"Abstract This article deals with robust H ∞ optimal control of the flight control systems of the small unmanned aerial vehicles (UAVs) in the presence of the plant disturbances and sensor noises. The rationales of the theory of H ∞ controller synthesis are brought into a unique frame supporting design procedures being implemented. The paper focuses on numerical example of the synthesis of the controller of the flight control system of the small UAV.","url":"https://doi.org/10.2478/raft-2018-0039","authors":["Róbert Szabolcsi"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2019-02-05T04:31:34Z","doi":"10.2478/raft-2018-0039","addedAt":"2026-08-31T06:40:00.187Z","updatedAt":"2026-08-31T06:40:00.187Z"},{"id":"doi:10.1016/j.vehcom.2025.100889","name":"Resource allocation in unmanned aerial vehicle networks: A review","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.vehcom.2025.100889","authors":["Siva Sai","Sudhanshu Mishra","Vinay Chamola"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-01-29T21:49:59Z","doi":"10.1016/j.vehcom.2025.100889","addedAt":"2026-08-31T06:40:00.188Z","updatedAt":"2026-08-31T06:40:05.993Z"},{"id":"doi:10.4236/jgis.2014.66060","name":"Review of Effective Vegetation Mapping  Using the UAV (Unmanned Aerial Vehicle) Method","source":"crossref","abstract":"","url":"https://doi.org/10.4236/jgis.2014.66060","authors":["Korehisa Kaneko","Seiich Nohara"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2014-12-29T00:39:58Z","doi":"10.4236/jgis.2014.66060","addedAt":"2026-08-31T06:40:00.188Z","updatedAt":"2026-08-31T06:40:00.188Z"},{"id":"doi:10.24072/pci.ecology.100780.rev12","name":"Review of: Tracking butterfly flight in the field from an unmanned aerial vehicle (UAV): a methodological proof of principle. Round#1/Reviewer#2","source":"crossref","abstract":"","url":"https://doi.org/10.24072/pci.ecology.100780.rev12","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-05-20T20:11:49Z","doi":"10.24072/pci.ecology.100780.rev12","addedAt":"2026-08-31T06:40:00.188Z","updatedAt":"2026-08-31T06:40:00.188Z"},{"id":"doi:10.3389/fmats.2026.1910551","name":"Metal additive manufacturing for unmanned aerial vehicle propulsion: a narrative review of recent advances in gas turbine systems","source":"crossref","abstract":"Metal additive manufacturing (MAM) is revolutionizing the design and production of high-performance components across the aerospace sector. This narrative review examines recent research on gas turbine propulsion systems for unmanned aerial vehicles (UAVs), with a particular focus on the transformative role of metal additive manufacturing (MAM) in enabling lighter, more efficient, and more complex engine architectures. The study analyzes the operating principles, performance characteristics, and applications of turbojet, turbofan, and turboprop engines while highlighting key technological advances in hybridization, cycle optimization, and advanced manufacturing. Particular attention is given to MAM of high-temperature alloys (e.g., Inconel, titanium aluminides) and the integration of topology-optimized lattice structures, internal cooling channels, and monolithic rotors. Recent studies on additive manufacturing (AM) for drone components—including metal-doped plastics, composite filaments, and high-performance polymers—provide complementary insights into material selection, structural integrity, and functional integration that are directly relevant to gas turbine development. The study also incorporates the emerging roles of Life Cycle Assessment (LCA) in evaluating environmental sustainability and the use of machine learning for advanced fault diagnostics. Drawing on thermodynamic analyses, experimental studies, and modelling efforts, this review identifies current challenges and future directions in MAM for UAV propulsion, and briefly discusses potential cross-fertilization with biomedical AM, where similar challenges in process control, microstructure optimization, and post-processing are being addressed.","url":"https://doi.org/10.3389/fmats.2026.1910551","authors":["Alberto Boretti"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-08-27T08:26:15Z","doi":"10.3389/fmats.2026.1910551","addedAt":"2026-08-31T06:40:00.188Z","updatedAt":"2026-08-31T06:40:02.906Z"},{"id":"doi:10.15866/irease.v9i5.10476","name":"Integral Backstepping Control Prototyping for a Quad Tilt Wing Unmanned Aerial Vehicle","source":"crossref","abstract":"","url":"https://doi.org/10.15866/irease.v9i5.10476","authors":["Soufiene Bouallegue","Khaled Ben Khoud"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2016-12-23T12:45:30Z","doi":"10.15866/irease.v9i5.10476","addedAt":"2026-08-31T06:40:00.188Z","updatedAt":"2026-08-31T06:40:00.188Z"},{"id":"doi:10.24072/pci.ecology.100780.rev11","name":"Review of: Tracking butterfly flight in the field from an unmanned aerial vehicle (UAV): a methodological proof of principle. Round#1/Reviewer#1","source":"crossref","abstract":"","url":"https://doi.org/10.24072/pci.ecology.100780.rev11","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-05-20T20:11:50Z","doi":"10.24072/pci.ecology.100780.rev11","addedAt":"2026-08-31T06:40:00.188Z","updatedAt":"2026-08-31T06:40:00.188Z"},{"id":"doi:10.24072/pci.ecology.100780.rev13","name":"Review of: Tracking butterfly flight in the field from an unmanned aerial vehicle (UAV): a methodological proof of principle. Round#1/Reviewer#3","source":"crossref","abstract":"","url":"https://doi.org/10.24072/pci.ecology.100780.rev13","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-05-20T20:11:50Z","doi":"10.24072/pci.ecology.100780.rev13","addedAt":"2026-08-31T06:40:00.188Z","updatedAt":"2026-08-31T06:40:00.188Z"},{"id":"doi:10.1109/ubmk55850.2022.9919556","name":"Code / Model Review Process of Unmanned Aerial Vehicle Software Compliant with DO-178B Certification","source":"crossref","abstract":"","url":"https://doi.org/10.1109/ubmk55850.2022.9919556","authors":["İbrahim Seyfullah Babaarslan","Mücahit Topçu"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2022-11-04T00:58:29Z","doi":"10.1109/ubmk55850.2022.9919556","addedAt":"2026-08-31T06:40:00.188Z","updatedAt":"2026-08-31T06:40:00.188Z"},{"id":"doi:10.9734/jenrr/2024/v16i6357","name":"Unmanned Aerial Vehicle for Pipeline Surveillance: A Review","source":"crossref","abstract":"Petroleum products being transported through pipelines can be easily targeted by economic and political saboteurs. Unmanned Aerial Vehicle (UAV) heralds a new technology on pipeline safety, surveillance, surveying mapping, assessment and safety for the oil and gas industry. With the advent of this technology, leaks, corrosion, third party interference and other faults leading to the loss of life, environmental pollution can be checked. This review highlights the state of the technology and benefits of UAV to the Nigeria oil and gas industry. The Nigeria oil and gas industry vested with over 2,300,000 barrels of crude oil daily production has over 9000km pipeline route which is prone to rupture from leaks, corrosion and vandalism. The industry will benefit from a flexible compatible and adaptable UAV platform with a multispectral and hyper spectral sensor for extensive safety, real-time imagery within a localized small to medium spatial scale, over larger expanse of space and time. The technology is adjured cheaper for inspection mission over traditional methods. Adoption of these technology would improve the environmental imprints of the oil and gas companies operating in the Niger Delta, and cases of pipeline vandalism and unrest might be lessened.","url":"https://doi.org/10.9734/jenrr/2024/v16i6357","authors":["Osaro PA","Olukaejire SJ","Ifiora CC","Kama GH"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-07-05T10:47:15Z","doi":"10.9734/jenrr/2024/v16i6357","addedAt":"2026-08-31T06:40:00.188Z","updatedAt":"2026-08-31T06:40:00.188Z"},{"id":"doi:10.25911/5d6e501753730","name":"Towards UAV-assisted monitoring of onshore geological CO2 storage site","source":"datacite","abstract":"Scientists all over the world look for solutions to reduce greenhouse gas emissions in an effort to achieve proclaimed emissions reduction targets. An intriguing candidate with the potential to make a substantial contribution to this attempt is carbon capture and storage (CCS). The key advantage of CCS is that it provides the possibility to make a significant impact on the reduction of anthropogenic carbon dioxide (CO2) emissions from power plants and carbon-rich industry processes while maintaining existing fossil fuel energy infrastructure. The technique could therefore be used as a transitional solution until fossil fuels can be eliminated from the energy generation mix, and the energy efficiency of industrial processes as well as appliances and products is further improved. Like other technologies, CCS comes with its risks and rewards. To minimize possible negative impacts on humans as well as on the environment, it is necessary to understand the risks and to address them accordingly. A range of monitoring solutions for geological CO2 storage sites is available. However, a cost-effective solution for the regular observation of atmospheric CO2 concentrations (or tracer concentrations) of large areas above onshore geological CO2 storage sites has yet to be developed. This thesis discusses the use of a helicopter unmanned aerial vehicle (UAV) to fill this gap. The robot platform and its autopilot are designed to cope with ongoing sensor developments in addition to providing safety features necessary for the beyond line-of-sight operation of the UAV. The design focuses on the use of commercial off-the-shelf components for the aerial platform in order to shorten the development time and to reduce costs. The autopilot does neither enforce a specific helicopter model nor defines a set position estimation unit to be used. Access to the control loop enables low-level extensions like obstacle avoidance to be implemented. The developed solution allows the monitoring of an area of approximately 750m2 with one set of batteries in one altitude with a spatial resolution of 2m by 2m. Experiments show that point source leaks of as low as 100kg CO2 per day can be detected and their source located. As opposed to autonomous take-offs of the helicopter UAV, autonomous landings on small dedicated helipads require an accurate localization system. A time difference of arrival (TDOA) based acoustic localization system which is based on planar microphone arrays with at least four microphones is proposed. The system can be embedded into the landing platform and provides the accuracy necessary to land the UAV on a helipad of the size of 1m by 1m. A review of existing TDOA-based approaches is given. Simulations show that the developed approach outperforms its direct competitors for the targeted task. Furthermore, experimental results with the developed UAV confirm the feasibility of the introduced method. The effects of the sensor arrangement onto the quality of the calculated position estimates are also discussed. In order to combine robotic-assisted monitoring solutions and other monitoring strategies (e.g. sensor networks and individual sensors) into a single solution, it is necessary to have a framework which allows next to the measurement data analysis also the management (path changes, robot behavior changes, monitoring of internal robot state) of possibly multiple heterogeneous mobile robotic systems. A modular user interface (UI) framework is proposed which allows robots from different vendors and with various configurations next to individual sensors and sensor networks to be managed from a single application. The software system introduces a strict separation between the robot control software and UIs. UI implementations inside the UI framework can be reused across robot platforms, which can reduce the integration time of new robots significantly. The end user benefits by being able to manage a fleet of robots from various vendors and being ","url":"https://doi.org/10.25911/5d6e501753730","authors":["Poppa, Florian"],"tags":["Unmanned Aerial Vehicle","UAV","Environmental Monitoring"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2017","doi":"10.25911/5d6e501753730","addedAt":"2026-08-31T06:40:00.189Z","updatedAt":"2026-08-31T06:40:00.189Z"},{"id":"doi:10.48550/arxiv.2207.11883","name":"Near Space Communications (NS-COM): A New Regime in Space-Air-Ground Integrated Network (SAGIN)","source":"datacite","abstract":"Precipitated by the technological innovations of the near-space platform stations (NSPS), the near space communication (NS-COM) network has emerged as an indispensable part of the next-generation space-air-ground integrated network (SAGIN) that facilitates ubiquitous coverage and broadband data transfer. This paper aims to provide a comprehensive overview of NS-COM. Firstly, we investigate the differences between NS-COM and the existing terrestrial cellular networks as well as satellite-based and unmanned-aerial-vehicle (UAV)-based communication networks, which is followed by a review of the NS-COM development. Then, we explore the unique characteristics of NS-COM regarding the platforms and the propagation environment of the near space. The main issues of NS-COM are identified, resulted from the extremely long transmission distance, limitations of the communication payloads on NSPS and complex atmospheric constitution of the near space. Then various application scenarios of NS-COM are discussed, where the special technical requirements are also revealed, from the physical-layer aspect like transceiver design to the upper-layer aspect like computational offloading and NSPS placement. Furthermore, we investigate the co-existence of NS-COM and ground networks by treating each other as interferers or collaborators. Finally, we list several potential technologies for NS-COM from the perspective of spectrum usage, and highlight their technical challenges for future research.","url":"https://doi.org/10.48550/arxiv.2207.11883","authors":["Xiao, Zhenyu","Mao, Tianqi","Han, Zhu","Xia, Xiang-Gen"],"tags":["Signal Processing (eess.SP)","FOS: Electrical engineering, electronic engineering, information engineering","FOS: Electrical engineering, electronic engineering, information engineering"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2022","doi":"10.48550/arxiv.2207.11883","addedAt":"2026-08-31T06:40:00.189Z","updatedAt":"2026-08-31T06:40:00.189Z"},{"id":"doi:10.5281/zenodo.5603330","name":"A Feasibility Analysis of Tether Localisation for Mobile Robots","source":"datacite","abstract":"The aim of this research is to investigate if tethered robots can be localised using sensors mounted along the tether, also known as tether localisation. For environments where external infrastructure is not available for absolute positioning and conventional SLAM technologies do not work, tether localisation may be able to provide an estimation of position. An example of such an environment is the primary containment vessel (PCV) in reactor 1F at the Fukushima Daiichi Power Plant in Japan. Remotely Operated Vehicle (ROV) inspections are necessary to allow for the safe decommissioning of the facility. However, external beacons cannot be installed for absolute positioning and the water is too dark and turbid to allow for vision SLAM. This paper presents the work conducted on tether localisation in a 2D plane in order to see if it is viable to estimate the end position of a tether using low-cost commercially viable sensors. Extrapolating the uncertainties observed during experimental testing, it was estimated that for a 30 m tether deployed along the y-axis in a 2D plane, the average absolute error in the position would be (2.79 m, 0.01 m) with an uncertainty of +-(3.00 m, 9.68 m). This is far greater than the mm accuracy and 10 cm precision target, indicating that this technology is not suitable for tether localisation.","url":"https://doi.org/10.5281/zenodo.5603330","authors":["Alhamwy, Yasin","Watson, Simon","Joaquin Carrasco","Cooper, Glen","Geihs, Kurt"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2021","doi":"10.5281/zenodo.5603330","addedAt":"2026-08-31T06:40:00.189Z","updatedAt":"2026-08-31T06:40:00.189Z"},{"id":"doi:10.5281/zenodo.5603331","name":"A Feasibility Analysis of Tether Localisation for Mobile Robots","source":"datacite","abstract":"The aim of this research is to investigate if tethered robots can be localised using sensors mounted along the tether, also known as tether localisation. For environments where external infrastructure is not available for absolute positioning and conventional SLAM technologies do not work, tether localisation may be able to provide an estimation of position. An example of such an environment is the primary containment vessel (PCV) in reactor 1F at the Fukushima Daiichi Power Plant in Japan. Remotely Operated Vehicle (ROV) inspections are necessary to allow for the safe decommissioning of the facility. However, external beacons cannot be installed for absolute positioning and the water is too dark and turbid to allow for vision SLAM. This paper presents the work conducted on tether localisation in a 2D plane in order to see if it is viable to estimate the end position of a tether using low-cost commercially viable sensors. Extrapolating the uncertainties observed during experimental testing, it was estimated that for a 30 m tether deployed along the y-axis in a 2D plane, the average absolute error in the position would be (2.79 m, 0.01 m) with an uncertainty of +-(3.00 m, 9.68 m). This is far greater than the mm accuracy and 10 cm precision target, indicating that this technology is not suitable for tether localisation.","url":"https://doi.org/10.5281/zenodo.5603331","authors":["Alhamwy, Yasin","Watson, Simon","Joaquin Carrasco","Cooper, Glen","Geihs, Kurt"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2021","doi":"10.5281/zenodo.5603331","addedAt":"2026-08-31T06:40:00.189Z","updatedAt":"2026-08-31T06:40:00.189Z"},{"id":"doi:10.5281/zenodo.6556500","name":"UNMANNED AERIAL VEHICLE (UAV) IN CONSTRUCTION MANAGEMENT: A LITERATURE REVIEW, APPLICATIONS AND CHALLENGES","source":"datacite","abstract":"Purpose – The aim of the article is to analyze the current directions of UAV application areas in the management of processes in construction, limitations and development opportunities, considering the fusion between academic publications and practical ones. Methodology/approach – This research puts forward a bibliographic synthesis to summarize the results of 20 research papers published in 2012-2020 and highlights the growing trend of using UAVs in the construction sector. Findings – The UAV is widely used in structural condition assessment, occupational health and safety, quantity survey and logistics activities. Cost and time efficiency are the primary benefits for using UAV in construction processes. Multi-rotor is the most common structure of UAV and a multitude of sensors can be attached to the UAV such as digital camera, thermal and infrared sensor. The control of the UAVs can be manual or a pre-programmed flight. Research limitations/implications – The research limitations are related to the methodological approach which consists of identifying the scientific papers based on keywords in academic databases. Originality/value – This paper outlines the classification of UAV applications in construction research and pleads the use of applications in construction quality control along the project implementation.","url":"https://doi.org/10.5281/zenodo.6556500","authors":["BUNGARDI, Bogdan Emil","IZVERCIAN, Monica","AGACHE GARBONI, Andreea Mihaela","PUGNA, Adrian"],"tags":["UAV, construction quality management."],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2020","doi":"10.5281/zenodo.6556500","addedAt":"2026-08-31T06:40:00.189Z","updatedAt":"2026-08-31T06:40:00.189Z"},{"id":"doi:10.5281/zenodo.6556501","name":"UNMANNED AERIAL VEHICLE (UAV) IN CONSTRUCTION MANAGEMENT: A LITERATURE REVIEW, APPLICATIONS AND CHALLENGES","source":"datacite","abstract":"Purpose – The aim of the article is to analyze the current directions of UAV application areas in the management of processes in construction, limitations and development opportunities, considering the fusion between academic publications and practical ones. Methodology/approach – This research puts forward a bibliographic synthesis to summarize the results of 20 research papers published in 2012-2020 and highlights the growing trend of using UAVs in the construction sector. Findings – The UAV is widely used in structural condition assessment, occupational health and safety, quantity survey and logistics activities. Cost and time efficiency are the primary benefits for using UAV in construction processes. Multi-rotor is the most common structure of UAV and a multitude of sensors can be attached to the UAV such as digital camera, thermal and infrared sensor. The control of the UAVs can be manual or a pre-programmed flight. Research limitations/implications – The research limitations are related to the methodological approach which consists of identifying the scientific papers based on keywords in academic databases. Originality/value – This paper outlines the classification of UAV applications in construction research and pleads the use of applications in construction quality control along the project implementation.","url":"https://doi.org/10.5281/zenodo.6556501","authors":["BUNGARDI, Bogdan Emil","IZVERCIAN, Monica","AGACHE GARBONI, Andreea Mihaela","PUGNA, Adrian"],"tags":["UAV, construction quality management."],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2020","doi":"10.5281/zenodo.6556501","addedAt":"2026-08-31T06:40:00.189Z","updatedAt":"2026-08-31T06:40:00.189Z"},{"id":"doi:10.48550/arxiv.2205.15606","name":"Zero-Emission Delivery for Logistics and Transportation: Challenges, Research Issues, and Opportunities","source":"datacite","abstract":"Greenhouse gas, produced from various industries such as Power, Manufacturing, Transport, Chemical, or Agriculture, is the major source of global warming. While the transport industry is among the top three major contributors, accounting for 16.2% of global emissions. To counter this, many countries are responding actively to achieve net or absolute zero-emission goals by replacing fossil fuel with renewable energy sources. In response to this initiative, this chapter provides a systematic review of the use of zero-emission vehicles for a specific use case of package delivery. It first compares different green delivery systems that use unmanned aerial vehicles, electric vehicles, and fuel-cell trucks for certain weight categories. Specifically, a coordination of unmanned aerial vehicle and ground-based electric truck envisions a new paradigm of ground-based zero-emission vehicles where unmanned aerial vehicles can fly in the air beyond the visual line of sight empowered by future-generation wireless technologies. The integration of zero-emission vehicles for package delivery will encounter many challenges in analyzing, modelling, planning, and designing a green logistics system. This chapter investigates these challenges in the adoption of zero-emission vehicles with the existing research issues from a technical, environmental, economic, and political point of view. In addition, this study also sheds a new research perspective on artificial intelligence and integrated solutions for zero-emission deliveries.","url":"https://doi.org/10.48550/arxiv.2205.15606","authors":["Bukhari, J.","Somanagoudar, A. G.","Hou, L.","Herrera, O.","Merida, W."],"tags":["Multiagent Systems (cs.MA)","FOS: Computer and information sciences","FOS: Computer and information sciences"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2022","doi":"10.48550/arxiv.2205.15606","addedAt":"2026-08-31T06:40:00.189Z","updatedAt":"2026-08-31T06:40:00.189Z"},{"id":"doi:10.48550/arxiv.2010.06255","name":"Correlation Filters for Unmanned Aerial Vehicle-Based Aerial Tracking: A Review and Experimental Evaluation","source":"datacite","abstract":"Aerial tracking, which has exhibited its omnipresent dedication and splendid performance, is one of the most active applications in the remote sensing field. Especially, unmanned aerial vehicle (UAV)-based remote sensing system, equipped with a visual tracking approach, has been widely used in aviation, navigation, agriculture,transportation, and public security, etc. As is mentioned above, the UAV-based aerial tracking platform has been gradually developed from research to practical application stage, reaching one of the main aerial remote sensing technologies in the future. However, due to the real-world onerous situations, e.g., harsh external challenges, the vibration of the UAV mechanical structure (especially under strong wind conditions), the maneuvering flight in complex environment, and the limited computation resources onboard, accuracy, robustness, and high efficiency are all crucial for the onboard tracking methods. Recently, the discriminative correlation filter (DCF)-based trackers have stood out for their high computational efficiency and appealing robustness on a single CPU, and have flourished in the UAV visual tracking community. In this work, the basic framework of the DCF-based trackers is firstly generalized, based on which, 23 state-of-the-art DCF-based trackers are orderly summarized according to their innovations for solving various issues. Besides, exhaustive and quantitative experiments have been extended on various prevailing UAV tracking benchmarks, i.e., UAV123, UAV123@10fps, UAV20L, UAVDT, DTB70, and VisDrone2019-SOT, which contain 371,903 frames in total. The experiments show the performance, verify the feasibility, and demonstrate the current challenges of DCF-based trackers onboard UAV tracking.","url":"https://doi.org/10.48550/arxiv.2010.06255","authors":["Fu, Changhong","Li, Bowen","Ding, Fangqiang","Lin, Fuling","Lu, Geng"],"tags":["Computer Vision and Pattern Recognition (cs.CV)","Robotics (cs.RO)","Image and Video Processing (eess.IV)","FOS: Computer and information sciences","FOS: Computer and information sciences","FOS: Electrical engineering, electronic engineering, information engineering","FOS: Electrical engineering, electronic engineering, information engineering","I.4.9; A.1"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2020","doi":"10.48550/arxiv.2010.06255","addedAt":"2026-08-31T06:40:00.189Z","updatedAt":"2026-08-31T06:40:00.189Z"},{"id":"doi:10.5281/zenodo.6555573","name":"A THEORETICAL DESIGN OF A COMBINED AIR AND GROUND UNMANNED VEHICLE FOR SEARCH AND FOLLOW A DISASTER","source":"datacite","abstract":"The combination between unmanned ground vehicle and unmanned Ariel vehicle has become a matter of discussion lately in the field of robotics. This paper proposes a theoretical design of an unmanned vehicle with dimensions of (370 X 367 X 318 mm) which can fly as aerial vehicle and move on the ground, so it is considered unmanned ground vehicle as well. Subsequently, hybrid design is appropriate for following disaster robot because of the harsh environment. This investigation comprises literature review on some previous works in this regards along with the conception of the vehicle is argued in details with 3 D drawings. Furthermore, some calculations of the drag, lift forces and power consumption are performed. Finally, MATLAB plots are extracted to give an indication of the displacement response of the automobile in both X-Y axes.","url":"https://doi.org/10.5281/zenodo.6555573","authors":["YAZEN .H SHAKIR"],"tags":["Following a disaster robot","air and ground unmanned vehicle","quad-rotor with ground vehicle"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2017","doi":"10.5281/zenodo.6555573","addedAt":"2026-08-31T06:40:00.189Z","updatedAt":"2026-08-31T06:40:00.189Z"},{"id":"doi:10.5281/zenodo.6555574","name":"A THEORETICAL DESIGN OF A COMBINED AIR AND GROUND UNMANNED VEHICLE FOR SEARCH AND FOLLOW A DISASTER","source":"datacite","abstract":"The combination between unmanned ground vehicle and unmanned Ariel vehicle has become a matter of discussion lately in the field of robotics. This paper proposes a theoretical design of an unmanned vehicle with dimensions of (370 X 367 X 318 mm) which can fly as aerial vehicle and move on the ground, so it is considered unmanned ground vehicle as well. Subsequently, hybrid design is appropriate for following disaster robot because of the harsh environment. This investigation comprises literature review on some previous works in this regards along with the conception of the vehicle is argued in details with 3 D drawings. Furthermore, some calculations of the drag, lift forces and power consumption are performed. Finally, MATLAB plots are extracted to give an indication of the displacement response of the automobile in both X-Y axes.","url":"https://doi.org/10.5281/zenodo.6555574","authors":["YAZEN .H SHAKIR"],"tags":["Following a disaster robot","air and ground unmanned vehicle","quad-rotor with ground vehicle"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2017","doi":"10.5281/zenodo.6555574","addedAt":"2026-08-31T06:40:00.189Z","updatedAt":"2026-08-31T06:40:00.189Z"},{"id":"doi:10.48550/arxiv.2205.01041","name":"The Chaotic State of UK Drone Regulation","source":"datacite","abstract":"In December 2020 the law for drone pilots and unmanned aerial vehicle (UAV) use went into a transition phase in preparation for new EU international UAV regulation. That EU regulation comes into full effect as the transition periods defined in the United Kingdom's Civil Aviation Authority Air Policy CAP722 expire during December 2022 (CAA, 2020). However, international homologation regulation will not address the patchwork of inconsistent drone use regulations that exist in the United Kingdom from the layering of local and subordinate authority byelaws over UK aviation law. We provide an extensive review of local authority regulation of drone use on public open and green spaces, finding that many local authorities are unaware of the issues being created through: (i) inappropriately couched or poorly framed byelaws; (ii) multiple byelaws covering the same area by virtue of overlapping jurisdictions; or (iii) the lack readily identifiable policies for drone use on public land. Overregulation, inconsistent regulation and regulatory disharmony are causing confusion for recreational drone enthusiasts such that it is never clear which public or crown-owned open and green spaces they are allowed to, or prohibited from, flying. While the government and local authorities might like them to, drones are not going away. Therefore, we conclude, the easiest way to ensure citizens stay within the bounds of drone law that is intended to ensure public safety, is to make that law comprehensible, consistent and easy to comply with.","url":"https://doi.org/10.48550/arxiv.2205.01041","authors":["McLachlan, Scott","Dube, Kudakwashe","Schafer, Burkhard","Gillespie, Anthony","Fenton, Norman"],"tags":["Computers and Society (cs.CY)","FOS: Computer and information sciences","FOS: Computer and information sciences"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2022","doi":"10.48550/arxiv.2205.01041","addedAt":"2026-08-31T06:40:00.189Z","updatedAt":"2026-08-31T06:40:00.189Z"},{"id":"doi:10.48550/arxiv.2111.11709","name":"A Multi-Stage model based on YOLOv3 for defect detection in PV panels based on IR and Visible Imaging by Unmanned Aerial Vehicle","source":"datacite","abstract":"As solar capacity installed worldwide continues to grow, there is an increasing awareness that advanced inspection systems are becoming of utmost importance to schedule smart interventions and minimize downtime likelihood. In this work we propose a novel automatic multi-stage model to detect panel defects on aerial images captured by unmanned aerial vehicle by using the YOLOv3 network and Computer Vision techniques. The model combines detections of panels and defects to refine its accuracy and exhibits an average inference time per image of 0.98 s. The main novelties are represented by its versatility to process either thermographic or visible images and detect a large variety of defects, to prescript recommended actions to O&amp;M crew to give a more efficient data-driven maintenance strategy and its portability to both rooftop and ground-mounted PV systems and different panel types. The proposed model has been validated on two big PV plants in the south of Italy with an outstanding AP@0.5 exceeding 98% for panel detection, a remarkable AP@0.4 (AP@0.5) of roughly 88.3% (66.9%) for hotspots by means of infrared thermography and a mAP@0.5 of almost 70% in the visible spectrum for detection of anomalies including panel shading induced by soiling and bird dropping, delamination, presence of puddles and raised rooftop panels. The model predicts also the severity of hotspot areas based on the estimated temperature gradients, as well as it computes the soiling coverage based on visual images. Finally an analysis of the influence of the different YOLOv3's output scales on the detection is discussed.","url":"https://doi.org/10.48550/arxiv.2111.11709","authors":["Di Tommaso, Antonio","Betti, Alessandro","Fontanelli, Giacomo","Michelozzi, Benedetto"],"tags":["Computer Vision and Pattern Recognition (cs.CV)","Machine Learning (cs.LG)","FOS: Computer and information sciences","FOS: Computer and information sciences","I.2.6"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2021","doi":"10.48550/arxiv.2111.11709","addedAt":"2026-08-31T06:40:00.189Z","updatedAt":"2026-08-31T06:40:00.189Z"},{"id":"doi:10.48550/arxiv.1704.00079","name":"Algorithms for Routing of Unmanned Aerial Vehicles with Mobile Recharging Stations","source":"datacite","abstract":"We study the problem of planning a tour for an energy-limited Unmanned Aerial Vehicle (UAV) to visit a set of sites in the least amount of time. We envision scenarios where the UAV can be recharged along the way either by landing on stationary recharging stations or on Unmanned Ground Vehicles (UGVs) acting as mobile recharging stations. This leads to a new variant of the Traveling Salesperson Problem (TSP) with mobile recharging stations. We present an algorithm that finds not only the order in which to visit the sites but also when and where to land on the charging stations to recharge. Our algorithm plans tours for the UGVs as well as determines best locations to place stationary charging stations. While the problems we study are NP-Hard, we present a practical solution using Generalized TSP that finds the optimal solution. If the UGVs are slower, the algorithm also finds the minimum number of UGVs required to support the UAV mission such that the UAV is not required to wait for the UGV. Our simulation results show that the running time is acceptable for reasonably sized instances in practice.","url":"https://doi.org/10.48550/arxiv.1704.00079","authors":["Yu, Kevin","Budhiraja, Ashish Kumar","Tokekar, Pratap"],"tags":["Robotics (cs.RO)","Multiagent Systems (cs.MA)","FOS: Computer and information sciences","FOS: Computer and information sciences"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2017","doi":"10.48550/arxiv.1704.00079","addedAt":"2026-08-31T06:40:00.189Z","updatedAt":"2026-08-31T06:40:00.189Z"},{"id":"doi:10.48550/arxiv.1807.00876","name":"Improved Robust Adaptive Control of High-order Nonlinear Systems with Guaranteed Performance","source":"datacite","abstract":"This thesis presents fuzzy-L1 adaptive controller and Model Reference Adaptive Control (MRAC) with Prescribed Performance Function (PPF) as two adaptive approaches for high nonlinear systems as two original contribution to the literature. L1 adaptive controller has a structure that allows decoupling between robustness and adaption owing to the use of a low pass filter with adjustable gain in the feedback loop. A practical new fuzzy based approach for the tuning of the feedback filter of L1 adaptive controller is proposed. The fuzzy controller is optimally tuned using Particle Swarm Optimization (PSO) to minimize the tracking error and the control signal range. An adaptive control of multi-input multi-output uncertain high-order nonlinear system capable of guaranteeing a predetermined prescribed performance is presented as MRAC with PPF. Keywords: Review, L1 adaptive controller, MRAC, twin rotor, UAV, unmanned aerial vehicle, quadrotor, desired, actual, overshoot, neighbourhood, origin, time variant, invariant, simulation, submarine, unmanned underwater vehicle, mobile robot, MARES, stochastic, noise, random, trade off, two degree of freedom planner robot, multi input multi output, single input single output, fuzzy logic controller, fuzzy filter, tuning, optimization, membership function, PSO, MOPSO, multi objective, particle swarm optimization, steady state error, transient performance, asymptotic, assigned, stability, robustness, robust, stable, adaptive control, nonlinear control, uncertain, unknown, prescribed performance function, nonlinear L1 adaptive observer, model.","url":"https://doi.org/10.48550/arxiv.1807.00876","authors":["Mohamed, Hashim Abdellah Hashim"],"tags":["Optimization and Control (math.OC)","FOS: Mathematics","FOS: Mathematics"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2018","doi":"10.48550/arxiv.1807.00876","addedAt":"2026-08-31T06:40:00.189Z","updatedAt":"2026-08-31T06:40:00.189Z"},{"id":"doi:10.48550/arxiv.1810.07862","name":"Applications of Deep Reinforcement Learning in Communications and Networking: A Survey","source":"datacite","abstract":"This paper presents a comprehensive literature review on applications of deep reinforcement learning in communications and networking. Modern networks, e.g., Internet of Things (IoT) and Unmanned Aerial Vehicle (UAV) networks, become more decentralized and autonomous. In such networks, network entities need to make decisions locally to maximize the network performance under uncertainty of network environment. Reinforcement learning has been efficiently used to enable the network entities to obtain the optimal policy including, e.g., decisions or actions, given their states when the state and action spaces are small. However, in complex and large-scale networks, the state and action spaces are usually large, and the reinforcement learning may not be able to find the optimal policy in reasonable time. Therefore, deep reinforcement learning, a combination of reinforcement learning with deep learning, has been developed to overcome the shortcomings. In this survey, we first give a tutorial of deep reinforcement learning from fundamental concepts to advanced models. Then, we review deep reinforcement learning approaches proposed to address emerging issues in communications and networking. The issues include dynamic network access, data rate control, wireless caching, data offloading, network security, and connectivity preservation which are all important to next generation networks such as 5G and beyond. Furthermore, we present applications of deep reinforcement learning for traffic routing, resource sharing, and data collection. Finally, we highlight important challenges, open issues, and future research directions of applying deep reinforcement learning.","url":"https://doi.org/10.48550/arxiv.1810.07862","authors":["Luong, Nguyen Cong","Hoang, Dinh Thai","Gong, Shimin","Niyato, Dusit","Wang, Ping","Liang, Ying-Chang","Kim, Dong In"],"tags":["Networking and Internet Architecture (cs.NI)","Machine Learning (cs.LG)","FOS: Computer and information sciences","FOS: Computer and information sciences"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2018","doi":"10.48550/arxiv.1810.07862","addedAt":"2026-08-31T06:40:00.189Z","updatedAt":"2026-08-31T06:40:00.189Z"},{"id":"doi:10.48550/arxiv.1812.06821","name":"Survey on Unmanned Aerial Vehicle Networks: A Cyber Physical System Perspective","source":"datacite","abstract":"Unmanned aerial vehicle (UAV) networks are playing an important role in various areas due to their agility and versatility, which have attracted significant attention from both the academia and industry in recent years. As an integration of the embedded systems with communication devices, computation capabilities and control modules, the UAV network could build a closed loop from data perceiving, information exchanging, decision making to the final execution, which tightly integrates the cyber processes into the physical devices. Therefore, the UAV network could be considered as a cyber physical system (CPS). Revealing the coupling effects among the three interacted components in this CPS system, i.e., communication, computation and control, is envisioned as the key to properly utilize all the available resources and hence improve the performance of the UAV networks. In this paper, we present a comprehensive survey on the UAV networks from a CPS perspective. Firstly, we respectively research the basics and advances with respect to the three CPS components in the UAV networks. Then we look inside to investigate how these components contribute to the system performance by classifying the UAV networks into three hierarchies, i.e., the cell level, the system level, and the system of system level. Further, the coupling effects among these CPS components are explicitly illustrated, which could be enlightening to deal with the challenges in each individual aspect. New research directions and open issues are discussed at the end of this survey. With this intensive literature review, we try to provide a novel insight into the state-of-the-art in the UAV networks.","url":"https://doi.org/10.48550/arxiv.1812.06821","authors":["Wang, Haijun","Zhao, Haitao","Zhang, Jiao","Ma, Dongtang","Li, Jiaxun","Wei, Jibo"],"tags":["Networking and Internet Architecture (cs.NI)","FOS: Computer and information sciences","FOS: Computer and information sciences"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2018","doi":"10.48550/arxiv.1812.06821","addedAt":"2026-08-31T06:40:00.189Z","updatedAt":"2026-08-31T06:40:00.189Z"},{"id":"doi:10.48550/arxiv.1911.01506","name":"Aerial Access and Backhaul in mmWave B5G Systems: Performance Dynamics and Optimization","source":"datacite","abstract":"The use of unmanned aerial vehicle (UAV)-based communication in millimeter-wave (mmWave) frequencies to provide on-demand radio access is a promising approach to improve capacity and coverage in beyond-5G (B5G) systems. There are several design aspects to be addressed when optimizing for the deployment of such UAV base stations. As traffic demand of mobile users varies across time and space, dynamic algorithms that correspondingly adjust the UAV locations are essential to maximize performance. In addition to careful tracking of spatio-temporal user/traffic activity, such optimization needs to account for realistic backhaul constraints. In this work, we first review the latest 3GPP activities behind integrated access and backhaul system design, support for UAV base stations, and mmWave radio relaying functionality. We then compare static and mobile UAV-based communication options under practical assumptions on the mmWave system layout, mobility and clusterization of users, antenna array geometry, and dynamic backhauling. We demonstrate that leveraging the UAV mobility to serve moving users may improve the overall system performance even in the presence of backhaul capacity limitations.","url":"https://doi.org/10.48550/arxiv.1911.01506","authors":["Tafintsev, Nikita","Moltchanov, Dmitri","Gerasimenko, Mikhail","Gapeyenko, Margarita","Zhu, Jing","Yeh, Shu-ping","Himayat, Nageen","Andreev, Sergey","Koucheryavy, Yevgeni","Valkama, Mikko"],"tags":["Networking and Internet Architecture (cs.NI)","FOS: Computer and information sciences","FOS: Computer and information sciences"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2019","doi":"10.48550/arxiv.1911.01506","addedAt":"2026-08-31T06:40:00.189Z","updatedAt":"2026-08-31T06:40:00.189Z"},{"id":"doi:10.48550/arxiv.2004.12317","name":"Online Mapping and Motion Planning under Uncertainty for Safe Navigation in Unknown Environments","source":"datacite","abstract":"Safe autonomous navigation is an essential and challenging problem for robots operating in highly unstructured or completely unknown environments. Under these conditions, not only robotic systems must deal with limited localisation information, but also their manoeuvrability is constrained by their dynamics and often suffer from uncertainty. In order to cope with these constraints, this manuscript proposes an uncertainty-based framework for mapping and planning feasible motions online with probabilistic safety-guarantees. The proposed approach deals with the motion, probabilistic safety, and online computation constraints by: (i) incrementally mapping the surroundings to build an uncertainty-aware representation of the environment, and (ii) iteratively (re)planning trajectories to goal that are kinodynamically feasible and probabilistically safe through a multi-layered sampling-based planner in the belief space. In-depth empirical analyses illustrate some important properties of this approach, namely, (a) the multi-layered planning strategy enables rapid exploration of the high-dimensional belief space while preserving asymptotic optimality and completeness guarantees, and (b) the proposed routine for probabilistic collision checking results in tighter probability bounds in comparison to other uncertainty-aware planners in the literature. Furthermore, real-world in-water experimental evaluation on a non-holonomic torpedo-shaped autonomous underwater vehicle and simulated trials in the Stairwell scenario of the DARPA Subterranean Challenge 2019 on a quadrotor unmanned aerial vehicle demonstrate the efficacy of the method as well as its suitability for systems with limited on-board computational power.","url":"https://doi.org/10.48550/arxiv.2004.12317","authors":["Pairet, Èric","Hernández, Juan David","Carreras, Marc","Petillot, Yvan","Lahijanian, Morteza"],"tags":["Robotics (cs.RO)","Artificial Intelligence (cs.AI)","FOS: Computer and information sciences","FOS: Computer and information sciences"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2020","doi":"10.48550/arxiv.2004.12317","addedAt":"2026-08-31T06:40:00.189Z","updatedAt":"2026-08-31T06:40:00.189Z"},{"id":"doi:10.48550/arxiv.2002.03118","name":"Shipper Cooperation in Stochastic Drone Delivery: A Dynamic Bayesian Game Approach","source":"datacite","abstract":"With the recent technological innovation, unmanned aerial vehicles, known as drones, have found numerous applications including package and parcel delivery for shippers. Drone delivery offers benefits over conventional ground-based vehicle delivery in terms of faster speed, lower cost, more environment-friendly, and less manpower needed. However, most of existing studies on drone delivery planning and scheduling focus on a single shipper and ignore uncertainty factors. As such, in this paper, we consider a scenario that multiple shippers can cooperate to minimize their drone delivery cost. We propose the Bayesian Shipper Cooperation in Stochastic Drone Delivery (BCoSDD) framework. The framework is composed of three functions, i.e., package assignment, shipper cooperation formation and cost management. The uncertainties of drone breakdown and misbehavior of cooperative shippers are taken into account by using multistage stochastic programming optimization and dynamic Bayesian coalition formation game. We conduct extensive performance evaluation of the BCoSDD framework by using customer locations from Solomon benchmark suite and a real Singapore logistics industry. As a result, the framework can help the shippers plan and schedule their drone delivery effectively.","url":"https://doi.org/10.48550/arxiv.2002.03118","authors":["Sawadsitang, Suttinee","Niyato, Dusit","Siew, Tan Puay","Wang, Ping","Nutanong, Sarana"],"tags":["Computer Science and Game Theory (cs.GT)","Optimization and Control (math.OC)","FOS: Computer and information sciences","FOS: Computer and information sciences","FOS: Mathematics","FOS: Mathematics"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2020","doi":"10.48550/arxiv.2002.03118","addedAt":"2026-08-31T06:40:00.189Z","updatedAt":"2026-08-31T06:40:00.189Z"},{"id":"doi:10.48550/arxiv.2005.09858","name":"A Comprehensive Survey of Control Strategies for Autonomous Quadrotors","source":"datacite","abstract":"Over the past several decades there has been a constant increase in the use of Unmanned Aerial Systems (UAS). Hence, there has also been a growth in the number of control algorithms to service the many applications embodied by these vehicles. Initially UAS were made popular by the military for Reconnaissance, Intelligence, Surveillance, and Target Acquisition (RISTA) applications. Now-a-days UAS are used for everything from crop surveys to tourism. Nowhere is this more evident than with multi-rotor Unmanned Aerial Vehicle (UAV). This paper presents a survey of control methods for multi-rotor systems, namely quadrotors. In doing so, we hope to visualize a clear path to what additional capabilities might be needed in the future. In our examination, we review many of the notable research organizations and their efforts to expand the utility of multirotor aircraft. We also summarize the basic literature definitions and control strategies for autonomous quadrotors.","url":"https://doi.org/10.48550/arxiv.2005.09858","authors":["Kim, Jinho","Gadsden, S. Andrew","Wilkerson, Stephen A."],"tags":["Systems and Control (eess.SY)","FOS: Electrical engineering, electronic engineering, information engineering","FOS: Electrical engineering, electronic engineering, information engineering"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2020","doi":"10.48550/arxiv.2005.09858","addedAt":"2026-08-31T06:40:00.189Z","updatedAt":"2026-08-31T06:40:00.189Z"},{"id":"doi:10.48550/arxiv.2006.16066","name":"Using an Automated Heterogeneous Robotic System for Radiation Surveys","source":"datacite","abstract":"During missions involving radiation exposure, unmanned robotic platforms may embody a valuable tool, especially thanks to their capability of replacing human operators in certain tasks to eliminate the health risks associated with such an environment. Moreover, rapid development of the technology allows us to increase the automation rate, making the human operator generally less important within the entire process. This article presents a multi-robotic system designed for highly automated radiation mapping and source localization. Our approach includes a three-phase procedure comprising sequential deployment of two diverse platforms, namely, an unmanned aircraft system (UAS) and an unmanned ground vehicle (UGV), to perform aerial photogrammetry, aerial radiation mapping, and terrestrial radiation mapping. The central idea is to produce a sparse dose rate map of the entire study site via the UAS and, subsequently, to perform detailed UGV-based mapping in limited radiation-contaminated regions. To accomplish these tasks, we designed numerous methods and data processing algorithms to facilitate, for example, digital elevation model (DEM)-based terrain following for the UAS, automatic selection of the regions of interest, obstacle map-based UGV trajectory planning, and source localization. The overall usability of the multi-robotic system was demonstrated by means of a one-day, authentic experiment, namely, a fictitious car accident including the loss of several radiation sources. The ability of the system to localize radiation hotspots and individual sources has been verified.","url":"https://doi.org/10.48550/arxiv.2006.16066","authors":["Gabrlik, Petr","Lazna, Tomas","Jilek, Tomas","Sladek, Petr","Zalud, Ludek"],"tags":["Robotics (cs.RO)","FOS: Computer and information sciences","FOS: Computer and information sciences"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2020","doi":"10.48550/arxiv.2006.16066","addedAt":"2026-08-31T06:40:00.189Z","updatedAt":"2026-08-31T06:40:00.189Z"},{"id":"doi:10.48550/arxiv.2009.02280","name":"Communication and networking technologies for UAVs: A survey","source":"datacite","abstract":"With the advancement in drone technology, in just a few years, drones will be assisting humans in every domain. But there are many challenges to be tackled, communication being the chief one. This paper aims at providing insights into the latest UAV (Unmanned Aerial Vehicle) communication technologies through investigation of suitable task modules, antennas, resource handling platforms, and network architectures. Additionally, we explore techniques such as machine learning and path planning to enhance existing drone communication methods. Encryption and optimization techniques for ensuring long lasting and secure communications, as well as for power management, are discussed. Moreover, applications of UAV networks for different contextual uses ranging from navigation to surveillance, URLLC (Ultra reliable and low latency communications), edge computing and work related to artificial intelligence are examined. In particular, the intricate interplay between UAV, advanced cellular communication, and internet of things constitutes one of the focal points of this paper. The survey encompasses lessons learned, insights, challenges, open issues, and future directions in UAV communications. Our literature review reveals the need for more research work on drone to drone and drone to device communications.","url":"https://doi.org/10.48550/arxiv.2009.02280","authors":["Sharma, Abhishek","Vanjani, Pankhuri","Paliwal, Nikhil","Basnayaka, Chathuranga M. Wijerathna","Jayakody, Dushantha Nalin K.","Wang, Hwang-Cheng","Muthuchidambaranathane, P."],"tags":["Signal Processing (eess.SP)","Applied Physics (physics.app-ph)","FOS: Electrical engineering, electronic engineering, information engineering","FOS: Electrical engineering, electronic engineering, information engineering","FOS: Physical sciences","FOS: Physical sciences"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2020","doi":"10.48550/arxiv.2009.02280","addedAt":"2026-08-31T06:40:00.189Z","updatedAt":"2026-08-31T06:40:00.189Z"},{"id":"doi:10.48550/arxiv.2106.07436","name":"Snowcover Survey over an Arctic Glacier Forefield: Contribution of Photogrammetry to Identify \"Icing\" Variability and Processes","source":"datacite","abstract":"Current climate shift has significant impacts on both quality and quantity of snow precipitation. This directly influences spatial variability of the snowpack as well as cumulative snow height. Contemporary glacier retreat reorganizes periglacial morphology: while the glacier area decreases, the moraine area increases. The latter is becoming a new water storage potential almost as important as the glacier itself, but with a much more complex topography. This work hence fills one of the missing variables of the hydrological budget equation of an arctic glacier basin by providing an estimate of the snow water equivalent (SWE) of the moraine contribution. Such a result is achieved by investigating Structure from Motion (SfM) image processing applied to pictures collected from an Unmanned Aerial Vehicle (UAV) as a method to produce snow depth maps over the proglacial moraine area. Several UAV campaigns were carried out on a small glacial basin in Spitsbergen (Arctic): measurements were made at the maximum snow accumulation season (late April) while reference topography maps were acquired at the end of hydrological year (late September) when the moraine is mostly free of snow. Snow depth is determined from Digital Surface Model (DSM) subtraction. Using dedicated and natural ground control points for relative positioning of the DSMs, the relative DSM georeferencing with sub-meter accuracy removes the main source of uncertainty when assessing snow depth. For areas where snow is deposited on bare rock surfaces, the correlation between avalanche probe in-situ snow depth measurements and DSM differences is excellent. Differences in ice covered areas between the two measurement techniques are attributed to the different quantities measured.","url":"https://doi.org/10.48550/arxiv.2106.07436","authors":["Bernard, Eric","Friedt, Jean-Michel","Griselin, Madeleine"],"tags":["Geophysics (physics.geo-ph)","Instrumentation and Detectors (physics.ins-det)","FOS: Physical sciences","FOS: Physical sciences"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2021","doi":"10.48550/arxiv.2106.07436","addedAt":"2026-08-31T06:40:00.189Z","updatedAt":"2026-08-31T06:40:00.189Z"},{"id":"doi:10.48550/arxiv.2111.04175","name":"A Survey of Wireless Networks for Future Aerial COMmunications (FACOM)","source":"datacite","abstract":"Electrification turned over a new leaf in aviation by introducing new types of aerial vehicles along with new means of transportation. Addressing a plethora of use cases, drones are gaining attention and increasingly appear in the sky. Emerging concepts of flying taxi enable passengers to be transported over several tens of kilometers. Therefore, unmanned traffic management systems are under development to cope with the complexity of future airspace, thereby resulting in unprecedented communication needs. Moreover, the increase in the number of commercial airplanes pushes the limits of voice-oriented communications, and future options such as single-pilot operations demand robust connectivity. In this survey, we provide a comprehensive review and vision for enabling the connectivity applications of aerial vehicles utilizing current and future communication technologies. We begin by categorizing the connectivity use cases per aerial vehicle and analyzing their connectivity requirements. By reviewing more than 500 related studies, we aim for a comprehensive approach to cover wireless communication technologies, and provide an overview of recent findings from the literature toward the possibilities and challenges of employing the wireless communication standards. After analyzing the network architectures, we list the open-source testbed platforms to facilitate future investigations. This study helped us observe that while numerous works focused on cellular technologies for aerial platforms, a single wireless technology is not sufficient to meet the stringent connectivity demands of the aerial use cases. We identified the need of further investigations on multi-technology network architectures to enable robust connectivity in the sky. Future works should consider suitable technology combinations to develop unified aerial networks that can meet the diverse quality of service demands.","url":"https://doi.org/10.48550/arxiv.2111.04175","authors":["Baltaci, Aygün","Dinc, Ergin","Ozger, Mustafa","Alabbasi, Abdulrahman","Cavdar, Cicek","Schupke, Dominic"],"tags":["Networking and Internet Architecture (cs.NI)","Signal Processing (eess.SP)","FOS: Computer and information sciences","FOS: Computer and information sciences","FOS: Electrical engineering, electronic engineering, information engineering","FOS: Electrical engineering, electronic engineering, information engineering"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2021","doi":"10.48550/arxiv.2111.04175","addedAt":"2026-08-31T06:40:00.189Z","updatedAt":"2026-08-31T06:40:00.189Z"},{"id":"doi:10.5281/zenodo.5812559","name":"Review of Obstacle Avoidance System","source":"datacite","abstract":"Obstacle avoidance is an important issue for old age people, disabled people, for surface vehicle, underwater vehicles, and aerial vehicles and on robots. When all are unmanned vehicle then tracking of that vehicles and avoiding obstacles is the main task. Current work which has already carried out incorporated in this review article.","url":"https://doi.org/10.5281/zenodo.5812559","authors":["Amruta Vaibhav Adwant","Nitin Motgi","Jangale, Yogesh"],"tags":["Unmanned Arial Vehicle (UAV), Unmanned Underwater Vehicle (UUV), Unmanned Surface Vehicle (USV), Obstacle detection system(ODS)"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2022","doi":"10.5281/zenodo.5812559","addedAt":"2026-08-31T06:40:00.189Z","updatedAt":"2026-08-31T06:40:00.189Z"},{"id":"doi:10.5281/zenodo.5812560","name":"Review of Obstacle Avoidance System","source":"datacite","abstract":"Obstacle avoidance is an important issue for old age people, disabled people, for surface vehicle, underwater vehicles, and aerial vehicles and on robots. When all are unmanned vehicle then tracking of that vehicles and avoiding obstacles is the main task. Current work which has already carried out incorporated in this review article.","url":"https://doi.org/10.5281/zenodo.5812560","authors":["Amruta Vaibhav Adwant","Nitin Motgi","Jangale, Yogesh"],"tags":["Unmanned Arial Vehicle (UAV), Unmanned Underwater Vehicle (UUV), Unmanned Surface Vehicle (USV), Obstacle detection system(ODS)"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2022","doi":"10.5281/zenodo.5812560","addedAt":"2026-08-31T06:40:00.189Z","updatedAt":"2026-08-31T06:40:00.189Z"},{"id":"doi:10.6092/issn.2036-1602/v9-n13-2018","name":"IN_BO. Ricerche e progetti per il territorio, la città e l'architettura, Vol. 9 No. 13 (2018): New Frontiers of Construction Management Workshop","source":"datacite","abstract":"Atti del seminario New Frontiers of Construction Management Workshop, Ravenna, 8–9 Novembre 2018. A cura di Marco A. Bragadin e Kalle Kähkönen.","url":"https://doi.org/10.6092/issn.2036-1602/v9-n13-2018","authors":["IN_BO. Ricerche E Progetti Per Il Territorio, La Città E L'architettura"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2018","doi":"10.6092/issn.2036-1602/v9-n13-2018","addedAt":"2026-08-31T06:40:00.189Z","updatedAt":"2026-08-31T06:40:00.189Z"},{"id":"doi:10.5281/zenodo.5739394","name":"A THEORETICAL DESIGN OF A COMBINED AIR AND GROUND UNMANNED VEHICLE FOR SEARCH AND FOLLOW A DISASTER","source":"datacite","abstract":"The combination between unmanned ground vehicle and unmanned Ariel vehicle has become a matter of discussion lately in the field of robotics. This paper proposes a theoretical design of an unmanned vehicle with dimensions of (370 X 367 X 318 mm) which can fly as aerial vehicle and move on the ground, so it is considered unmanned ground vehicle as well. Subsequently, hybrid design is appropriate for following disaster robot because of the harsh environment. This investigation comprises literature review on some previous works in this regards along with the conception of the vehicle is argued in details with 3 D drawings. Furthermore, some calculations of the drag, lift forces and power consumption are performed. Finally, MATLAB plots are extracted to give an indication of the displacement response of the automobile in both X-Y axes.","url":"https://doi.org/10.5281/zenodo.5739394","authors":["YAZEN .H SHAKIR"],"tags":["Following a disaster robot","air and ground unmanned vehicle","quad-rotor with ground vehicle"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2017","doi":"10.5281/zenodo.5739394","addedAt":"2026-08-31T06:40:00.189Z","updatedAt":"2026-08-31T06:40:00.189Z"},{"id":"doi:10.5281/zenodo.5739395","name":"A THEORETICAL DESIGN OF A COMBINED AIR AND GROUND UNMANNED VEHICLE FOR SEARCH AND FOLLOW A DISASTER","source":"datacite","abstract":"The combination between unmanned ground vehicle and unmanned Ariel vehicle has become a matter of discussion lately in the field of robotics. This paper proposes a theoretical design of an unmanned vehicle with dimensions of (370 X 367 X 318 mm) which can fly as aerial vehicle and move on the ground, so it is considered unmanned ground vehicle as well. Subsequently, hybrid design is appropriate for following disaster robot because of the harsh environment. This investigation comprises literature review on some previous works in this regards along with the conception of the vehicle is argued in details with 3 D drawings. Furthermore, some calculations of the drag, lift forces and power consumption are performed. Finally, MATLAB plots are extracted to give an indication of the displacement response of the automobile in both X-Y axes.","url":"https://doi.org/10.5281/zenodo.5739395","authors":["YAZEN .H SHAKIR"],"tags":["Following a disaster robot","air and ground unmanned vehicle","quad-rotor with ground vehicle"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2017","doi":"10.5281/zenodo.5739395","addedAt":"2026-08-31T06:40:00.189Z","updatedAt":"2026-08-31T06:40:00.189Z"},{"id":"doi:10.5281/zenodo.5094147","name":"A THEORETICAL DESIGN OF A COMBINED AIR AND GROUND UNMANNED VEHICLE FOR SEARCH AND FOLLOW A DISASTER","source":"datacite","abstract":"The combination between unmanned ground vehicle and unmanned Ariel vehicle has become a matter of discussion lately in the field of robotics. This paper proposes a theoretical design of an unmanned vehicle with dimensions of (370 X 367 X 318 mm) which can fly as aerial vehicle and move on the ground, so it is considered unmanned ground vehicle as well. Subsequently, hybrid design is appropriate for following disaster robot because of the harsh environment. This investigation comprises literature review on some previous works in this regards along with the conception of the vehicle is argued in details with 3 D drawings. Furthermore, some calculations of the drag, lift forces and power consumption are performed. Finally, MATLAB plots are extracted to give an indication of the displacement response of the automobile in both X-Y axes.","url":"https://doi.org/10.5281/zenodo.5094147","authors":["YAZEN .H SHAKIR"],"tags":["Following a disaster robot","air and ground unmanned vehicle","quad-rotor with ground vehicle"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2017","doi":"10.5281/zenodo.5094147","addedAt":"2026-08-31T06:40:00.189Z","updatedAt":"2026-08-31T06:40:00.189Z"},{"id":"doi:10.5281/zenodo.5094148","name":"A THEORETICAL DESIGN OF A COMBINED AIR AND GROUND UNMANNED VEHICLE FOR SEARCH AND FOLLOW A DISASTER","source":"datacite","abstract":"The combination between unmanned ground vehicle and unmanned Ariel vehicle has become a matter of discussion lately in the field of robotics. This paper proposes a theoretical design of an unmanned vehicle with dimensions of (370 X 367 X 318 mm) which can fly as aerial vehicle and move on the ground, so it is considered unmanned ground vehicle as well. Subsequently, hybrid design is appropriate for following disaster robot because of the harsh environment. This investigation comprises literature review on some previous works in this regards along with the conception of the vehicle is argued in details with 3 D drawings. Furthermore, some calculations of the drag, lift forces and power consumption are performed. Finally, MATLAB plots are extracted to give an indication of the displacement response of the automobile in both X-Y axes.","url":"https://doi.org/10.5281/zenodo.5094148","authors":["YAZEN .H SHAKIR"],"tags":["Following a disaster robot","air and ground unmanned vehicle","quad-rotor with ground vehicle"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2017","doi":"10.5281/zenodo.5094148","addedAt":"2026-08-31T06:40:00.189Z","updatedAt":"2026-08-31T06:40:00.189Z"},{"id":"doi:10.23670/irj.2021.106.4.011","name":"ОПРЕДЕЛЕНИЕ СОСТОЯНИЯ ЛЕСНОГО МАССИВА В ГИС С ИСПОЛЬЗОВАНИЕМ МУЛЬТИАГЕНТНОГО ПОДХОДА","source":"datacite","abstract":"Цель исследования – обзор текущего состояния лесной отрасли, а также определение и выполнение задач по его анализу и мониторингу, благодаря которым ситуация в данной сфере может измениться. В статье акцентируется внимание на раскрытии принципа работы мультиагентной технологии, а также беспилотных летательных аппаратов. Совместное применение данного подхода направлено на выявление проблемных зон в лесном хозяйстве. Научная новизна заключается в том, что беспилотный летательный аппарат оснащенный мультиагентной системой для оценки данных о состоянии лесного массива является перспективным направлением в лесной сфере за счет уменьшения времени обработки поступающей информации, так как работа агентов представляет собой параллельный процесс, а также за счет упрощения структуры алгоритма агентов. В результате исследования была раскрыта технология работы мультиагентного подхода, а также представлены примеры ее использования в других сферах деятельности. Подчеркивается, что применение беспилотных летательных аппаратов с мультиагентным подходом оценки состояния лесного массива позволит улучшить качество поступающих данных, увеличить объем получаемой и обрабатываемой информации, а также повысить надежность функционирования этого процесса. Основными преимуществами использования мультиагентных технологий и беспилотных летательных аппаратов в лесной отрасли являются: минимальный контроль при дистанционном применении, таксация лесных ресурсов, анализ местности на предмет экстренных ситуаций и т.д.","url":"https://doi.org/10.23670/irj.2021.106.4.011","authors":["Колбина, О.Н.","Яготинцева, Н.В.","Сафонова, Т.В.","Мокряк, А.В."],"tags":["мультиагентные системы","контроль и мониторинг лесной отрасли","упрощение контроля при дистанционном управлении","multi-agent systems","control and monitoring of the forest industry","simplification of remote control"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2021","doi":"10.23670/irj.2021.106.4.011","addedAt":"2026-08-31T06:40:00.189Z","updatedAt":"2026-08-31T06:40:00.189Z"},{"id":"doi:10.5281/zenodo.4477962","name":"A THEORETICAL DESIGN OF A COMBINED AIR AND GROUND UNMANNED VEHICLE FOR SEARCH AND FOLLOW A DISASTER","source":"datacite","abstract":"The combination between unmanned ground vehicle and unmanned Ariel vehicle has become a matter of discussion lately in the field of robotics. This paper proposes a theoretical design of an unmanned vehicle with dimensions of (370 X 367 X 318 mm) which can fly as aerial vehicle and move on the ground, so it is considered unmanned ground vehicle as well. Subsequently, hybrid design is appropriate for following disaster robot because of the harsh environment. This investigation comprises literature review on some previous works in this regards along with the conception of the vehicle is argued in details with 3 D drawings. Furthermore, some calculations of the drag, lift forces and power consumption are performed. Finally, MATLAB plots are extracted to give an indication of the displacement response of the automobile in both X-Y axes.","url":"https://doi.org/10.5281/zenodo.4477962","authors":["YAZEN .H SHAKIR"],"tags":["Following a disaster robot","air and ground unmanned vehicle","quad-rotor with ground vehicle"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2017","doi":"10.5281/zenodo.4477962","addedAt":"2026-08-31T06:40:00.189Z","updatedAt":"2026-08-31T06:40:00.189Z"},{"id":"doi:10.5281/zenodo.4477963","name":"A THEORETICAL DESIGN OF A COMBINED AIR AND GROUND UNMANNED VEHICLE FOR SEARCH AND FOLLOW A DISASTER","source":"datacite","abstract":"The combination between unmanned ground vehicle and unmanned Ariel vehicle has become a matter of discussion lately in the field of robotics. This paper proposes a theoretical design of an unmanned vehicle with dimensions of (370 X 367 X 318 mm) which can fly as aerial vehicle and move on the ground, so it is considered unmanned ground vehicle as well. Subsequently, hybrid design is appropriate for following disaster robot because of the harsh environment. This investigation comprises literature review on some previous works in this regards along with the conception of the vehicle is argued in details with 3 D drawings. Furthermore, some calculations of the drag, lift forces and power consumption are performed. Finally, MATLAB plots are extracted to give an indication of the displacement response of the automobile in both X-Y axes.","url":"https://doi.org/10.5281/zenodo.4477963","authors":["YAZEN .H SHAKIR"],"tags":["Following a disaster robot","air and ground unmanned vehicle","quad-rotor with ground vehicle"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2017","doi":"10.5281/zenodo.4477963","addedAt":"2026-08-31T06:40:00.189Z","updatedAt":"2026-08-31T06:40:00.189Z"},{"id":"doi:10.5281/zenodo.4067702","name":"A THEORETICAL DESIGN OF A COMBINED AIR AND GROUND UNMANNED VEHICLE FOR SEARCH AND FOLLOW A DISASTER","source":"datacite","abstract":"The combination between unmanned ground vehicle and unmanned Ariel vehicle has become a matter of discussion lately in the field of robotics. This paper proposes a theoretical design of an unmanned vehicle with dimensions of (370 X 367 X 318 mm) which can fly as aerial vehicle and move on the ground, so it is considered unmanned ground vehicle as well. Subsequently, hybrid design is appropriate for following disaster robot because of the harsh environment. This investigation comprises literature review on some previous works in this regards along with the conception of the vehicle is argued in details with 3 D drawings. Furthermore, some calculations of the drag, lift forces and power consumption are performed. Finally, MATLAB plots are extracted to give an indication of the displacement response of the automobile in both X-Y axes.","url":"https://doi.org/10.5281/zenodo.4067702","authors":["YAZEN .H SHAKIR"],"tags":["Following a disaster robot","air and ground unmanned vehicle","quad-rotor with ground vehicle"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2017","doi":"10.5281/zenodo.4067702","addedAt":"2026-08-31T06:40:00.189Z","updatedAt":"2026-08-31T06:40:00.189Z"},{"id":"doi:10.5281/zenodo.4067703","name":"A THEORETICAL DESIGN OF A COMBINED AIR AND GROUND UNMANNED VEHICLE FOR SEARCH AND FOLLOW A DISASTER","source":"datacite","abstract":"The combination between unmanned ground vehicle and unmanned Ariel vehicle has become a matter of discussion lately in the field of robotics. This paper proposes a theoretical design of an unmanned vehicle with dimensions of (370 X 367 X 318 mm) which can fly as aerial vehicle and move on the ground, so it is considered unmanned ground vehicle as well. Subsequently, hybrid design is appropriate for following disaster robot because of the harsh environment. This investigation comprises literature review on some previous works in this regards along with the conception of the vehicle is argued in details with 3 D drawings. Furthermore, some calculations of the drag, lift forces and power consumption are performed. Finally, MATLAB plots are extracted to give an indication of the displacement response of the automobile in both X-Y axes.","url":"https://doi.org/10.5281/zenodo.4067703","authors":["YAZEN .H SHAKIR"],"tags":["Following a disaster robot","air and ground unmanned vehicle","quad-rotor with ground vehicle"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2017","doi":"10.5281/zenodo.4067703","addedAt":"2026-08-31T06:40:00.189Z","updatedAt":"2026-08-31T06:40:00.189Z"},{"id":"doi:10.5281/zenodo.1314871","name":"Rapid Monitoring Of Earthquake Damages Using Optical And Sar Data","source":"datacite","abstract":"Earthquake is an inevitable catastrophic natural disaster. The damages of buildings and man-made structures, where most of the human activities occur are the major cause of casualties from earthquakes. A comparison of optical and SAR data is presented in the case of Kathmandu valley which was hardly shaken by 2015-Nepal Earthquake. Though many existing researchers have conducted optical data based estimated or suggested combined use of optical and SAR data for improved accuracy, however finding cloud-free optical images when urgently needed are not assured. Therefore, this research is specializd in developing SAR based technique with the target of rapid and accurate geospatial reporting. Should considers that limited time available in post-disaster situation offering quick computation exclusively based on two pairs of pre-seismic and co-seismic single look complex (SLC) images. The InSAR coherence pre-seismic, co-seismic and post-seismic was used to detect the change in damaged area. In addition, the ground truth data from field applied to optical data by random forest classification for detection of damaged area. The ground truth data collected in the field were used to assess the accuracy of supervised classification approach. Though a higher accuracy obtained from the optical data then integration by optical-SAR data. Limitation of cloud-free images when urgently needed for earthquak evevent are and is not assured, thus further research on improving the SAR based damage detection is suggested. Availability of very accurate damage information is expected for channelling the rescue and emergency operations. It is expected that the quick reporting of the post-disaster damage situation quantified by the rapid earthquake assessment should assist in channeling the rescue and emergency operations, and in informing the public about the scale of damage.","url":"https://doi.org/10.5281/zenodo.1314871","authors":["Saeid Gharechelou","Tateishi, Ryutaro"],"tags":["Sentinel-1A data","Landsat-8","earthquake damage","InSAR","rapid monitoring","2015-Nepal earthquake."],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2017","doi":"10.5281/zenodo.1314871","addedAt":"2026-08-31T06:40:00.189Z","updatedAt":"2026-08-31T06:40:00.189Z"},{"id":"doi:10.5281/zenodo.1314870","name":"Rapid Monitoring Of Earthquake Damages Using Optical And Sar Data","source":"datacite","abstract":"Earthquake is an inevitable catastrophic natural disaster. The damages of buildings and man-made structures, where most of the human activities occur are the major cause of casualties from earthquakes. A comparison of optical and SAR data is presented in the case of Kathmandu valley which was hardly shaken by 2015-Nepal Earthquake. Though many existing researchers have conducted optical data based estimated or suggested combined use of optical and SAR data for improved accuracy, however finding cloud-free optical images when urgently needed are not assured. Therefore, this research is specializd in developing SAR based technique with the target of rapid and accurate geospatial reporting. Should considers that limited time available in post-disaster situation offering quick computation exclusively based on two pairs of pre-seismic and co-seismic single look complex (SLC) images. The InSAR coherence pre-seismic, co-seismic and post-seismic was used to detect the change in damaged area. In addition, the ground truth data from field applied to optical data by random forest classification for detection of damaged area. The ground truth data collected in the field were used to assess the accuracy of supervised classification approach. Though a higher accuracy obtained from the optical data then integration by optical-SAR data. Limitation of cloud-free images when urgently needed for earthquak evevent are and is not assured, thus further research on improving the SAR based damage detection is suggested. Availability of very accurate damage information is expected for channelling the rescue and emergency operations. It is expected that the quick reporting of the post-disaster damage situation quantified by the rapid earthquake assessment should assist in channeling the rescue and emergency operations, and in informing the public about the scale of damage.","url":"https://doi.org/10.5281/zenodo.1314870","authors":["Saeid Gharechelou","Tateishi, Ryutaro"],"tags":["Sentinel-1A data","Landsat-8","earthquake damage","InSAR","rapid monitoring","2015-Nepal earthquake."],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2017","doi":"10.5281/zenodo.1314870","addedAt":"2026-08-31T06:40:00.189Z","updatedAt":"2026-08-31T06:40:00.189Z"},{"id":"doi:10.5281/zenodo.1316878","name":"A Review On Comparative Analysis Of Path Planning And Collision Avoidance Algorithms","source":"datacite","abstract":"Autonomous mobile robots (AMR) are expected as smart tools for operations in every automation industry. Path planning and obstacle avoidance is the backbone of AMR as robots have to reach their goal location avoiding obstacles while traversing through optimized path defined according to some criteria such as distance, time or energy. Path planning can be classified into global and local path planning where environmental information is known and unknown/partially known, respectively. A number of sensors are used for data collection. A number of algorithms such as artificial potential field (APF), rapidly exploring random trees (RRT), bidirectional RRT, Fuzzy approach, Purepursuit, A* algorithm, vector field histogram (VFH) and modified local path planning algorithm, etc. have been used in the last three decades for path planning and obstacle avoidance for AMR. This paper makes an attempt to review some of the path planning and obstacle avoidance algorithms used in the field of AMR. The review includes comparative analysis of simulation and mathematical computations of path planning and obstacle avoidance algorithms using MATLAB 2018a. From the review, it could be concluded that different algorithms may complete the same task (i.e. with a different set of instructions) in less or more time, space, effort, etc.","url":"https://doi.org/10.5281/zenodo.1316878","authors":["Agarwal, Divya","Pushpendra S. Bharti"],"tags":["Autonomous mobile robots","obstacle avoidance","path planning","and processing time."],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2018","doi":"10.5281/zenodo.1316878","addedAt":"2026-08-31T06:40:00.189Z","updatedAt":"2026-08-31T06:40:00.189Z"},{"id":"doi:10.5281/zenodo.1316879","name":"A Review On Comparative Analysis Of Path Planning And Collision Avoidance Algorithms","source":"datacite","abstract":"Autonomous mobile robots (AMR) are expected as smart tools for operations in every automation industry. Path planning and obstacle avoidance is the backbone of AMR as robots have to reach their goal location avoiding obstacles while traversing through optimized path defined according to some criteria such as distance, time or energy. Path planning can be classified into global and local path planning where environmental information is known and unknown/partially known, respectively. A number of sensors are used for data collection. A number of algorithms such as artificial potential field (APF), rapidly exploring random trees (RRT), bidirectional RRT, Fuzzy approach, Purepursuit, A* algorithm, vector field histogram (VFH) and modified local path planning algorithm, etc. have been used in the last three decades for path planning and obstacle avoidance for AMR. This paper makes an attempt to review some of the path planning and obstacle avoidance algorithms used in the field of AMR. The review includes comparative analysis of simulation and mathematical computations of path planning and obstacle avoidance algorithms using MATLAB 2018a. From the review, it could be concluded that different algorithms may complete the same task (i.e. with a different set of instructions) in less or more time, space, effort, etc.","url":"https://doi.org/10.5281/zenodo.1316879","authors":["Agarwal, Divya","Pushpendra S. Bharti"],"tags":["Autonomous mobile robots","obstacle avoidance","path planning","and processing time."],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2018","doi":"10.5281/zenodo.1316879","addedAt":"2026-08-31T06:40:00.189Z","updatedAt":"2026-08-31T06:40:00.189Z"},{"id":"doi:10.5281/zenodo.1315498","name":"Risk Assessment For Aerial Package Delivery","source":"datacite","abstract":"Recent developments in unmanned aerial vehicles (UAVs) have begun to attract intense interest. UAVs started to use for many different applications from military to civilian use. Some online retailer and logistics companies are testing the UAV delivery. UAVs have great potentials to reduce cost and time of deliveries and responding to emergencies in a short time. Despite these great positive sides, just a few works have been done for routing of UAVs for package deliveries. As known, transportation of goods from one place to another may have many hazards on delivery route due to falling hazards that can be exemplified as ground objects or air obstacles. This situation refers to wide-range insurance concept. For this reason, deliveries that are made with drones get into the scope of shipping insurance. On the other hand, air traffic was taken into account in the absence of unmanned aerial vehicle. But now, it has been a reality for aerial fields. In this study, the main goal is to conduct risk analysis of package delivery services using drone, based on delivery routes.","url":"https://doi.org/10.5281/zenodo.1315498","authors":["Eren, Haluk","Çelik, Ümit"],"tags":["Drone risk assessment","drone package delivery."],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2018","doi":"10.5281/zenodo.1315498","addedAt":"2026-08-31T06:40:00.189Z","updatedAt":"2026-08-31T06:40:00.189Z"},{"id":"doi:10.5281/zenodo.1315499","name":"Risk Assessment For Aerial Package Delivery","source":"datacite","abstract":"Recent developments in unmanned aerial vehicles (UAVs) have begun to attract intense interest. UAVs started to use for many different applications from military to civilian use. Some online retailer and logistics companies are testing the UAV delivery. UAVs have great potentials to reduce cost and time of deliveries and responding to emergencies in a short time. Despite these great positive sides, just a few works have been done for routing of UAVs for package deliveries. As known, transportation of goods from one place to another may have many hazards on delivery route due to falling hazards that can be exemplified as ground objects or air obstacles. This situation refers to wide-range insurance concept. For this reason, deliveries that are made with drones get into the scope of shipping insurance. On the other hand, air traffic was taken into account in the absence of unmanned aerial vehicle. But now, it has been a reality for aerial fields. In this study, the main goal is to conduct risk analysis of package delivery services using drone, based on delivery routes.","url":"https://doi.org/10.5281/zenodo.1315499","authors":["Eren, Haluk","Çelik, Ümit"],"tags":["Drone risk assessment","drone package delivery."],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2018","doi":"10.5281/zenodo.1315499","addedAt":"2026-08-31T06:40:00.189Z","updatedAt":"2026-08-31T06:40:00.189Z"},{"id":"doi:10.5281/zenodo.1316620","name":"Managing Uncertainty In Unmanned Aircraft System Safety Performance Requirements Compliance Process","source":"datacite","abstract":"System Safety Regulations (SSR) are a central component to the airworthiness certification of Unmanned Aircraft Systems (UAS). There is significant debate on the setting of appropriate SSR for UAS. Putting this debate aside, the challenge lies in how to apply the system safety process to UAS, which lacks the data and operational heritage of conventionally piloted aircraft. The limited knowledge and lack of operational data result in uncertainty in the system safety assessment of UAS. This uncertainty can lead to incorrect compliance findings and the potential certification and operation of UAS that do not meet minimum safety performance requirements. The existing system safety assessment and compliance processes, as used for conventional piloted aviation, do not adequately account for the uncertainty, limiting the suitability of its application to UAS. This paper discusses the challenges of undertaking system safety assessments for UAS and presents current and envisaged research towards addressing these challenges. It aims to highlight the main advantages associated with adopting a risk based framework to the System Safety Performance Requirement (SSPR) compliance process that is capable of taking the uncertainty associated with each of the outputs of the system safety assessment process into consideration. Based on this study, it is made clear that developing a framework tailored to UAS, would allow for a more rational, transparent and systematic approach to decision making. This would reduce the need for conservative assumptions and take the risk posed by each UAS into consideration while determining its state of compliance to the SSR.","url":"https://doi.org/10.5281/zenodo.1316620","authors":["Washington, Achim","Clothier, Reece","Silva, Jose"],"tags":["Part 1309 regulations","unmanned aircraft systems","system safety","uncertainty."],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2018","doi":"10.5281/zenodo.1316620","addedAt":"2026-08-31T06:40:00.189Z","updatedAt":"2026-08-31T06:40:00.189Z"},{"id":"doi:10.5281/zenodo.1316619","name":"Managing Uncertainty In Unmanned Aircraft System Safety Performance Requirements Compliance Process","source":"datacite","abstract":"System Safety Regulations (SSR) are a central component to the airworthiness certification of Unmanned Aircraft Systems (UAS). There is significant debate on the setting of appropriate SSR for UAS. Putting this debate aside, the challenge lies in how to apply the system safety process to UAS, which lacks the data and operational heritage of conventionally piloted aircraft. The limited knowledge and lack of operational data result in uncertainty in the system safety assessment of UAS. This uncertainty can lead to incorrect compliance findings and the potential certification and operation of UAS that do not meet minimum safety performance requirements. The existing system safety assessment and compliance processes, as used for conventional piloted aviation, do not adequately account for the uncertainty, limiting the suitability of its application to UAS. This paper discusses the challenges of undertaking system safety assessments for UAS and presents current and envisaged research towards addressing these challenges. It aims to highlight the main advantages associated with adopting a risk based framework to the System Safety Performance Requirement (SSPR) compliance process that is capable of taking the uncertainty associated with each of the outputs of the system safety assessment process into consideration. Based on this study, it is made clear that developing a framework tailored to UAS, would allow for a more rational, transparent and systematic approach to decision making. This would reduce the need for conservative assumptions and take the risk posed by each UAS into consideration while determining its state of compliance to the SSR.","url":"https://doi.org/10.5281/zenodo.1316619","authors":["Washington, Achim","Clothier, Reece","Silva, Jose"],"tags":["Part 1309 regulations","unmanned aircraft systems","system safety","uncertainty."],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2018","doi":"10.5281/zenodo.1316619","addedAt":"2026-08-31T06:40:00.189Z","updatedAt":"2026-08-31T06:40:00.189Z"},{"id":"doi:10.5281/zenodo.1061532","name":"Automation Of The Maritime Uav Command, Control, Navigation Operations, Simulated In Real-Time Using Kinect Sensor: A Feasibility Study","source":"datacite","abstract":"This paper describes the process used in the automation of the Maritime UAV commands using the Kinect sensor. The AR Drone is a Quadrocopter manufactured by Parrot [1] to be controlled using the Apple operating systems such as iPhones and Ipads. However, this project uses the Microsoft Kinect SDK and Microsoft Visual Studio C# (C sharp) software, which are compatible with Windows Operating System for the automation of the navigation and control of the AR drone. The navigation and control software for the Quadrocopter runs on a windows 7 computer. The project is divided into two sections; the Quadrocopter control system and the Kinect sensor control system. The Kinect sensor is connected to the computer using a USB cable from which commands can be sent to and from the Kinect sensors. The AR drone has Wi-Fi capabilities from which it can be connected to the computer to enable transfer of commands to and from the Quadrocopter. The project was implemented in C#, a programming language that is commonly used in the automation systems. The language was chosen because there are more libraries already established in C# for both the AR drone and the Kinect sensor. The study will contribute toward research in automation of systems using the Quadrocopter and the Kinect sensor for navigation involving a human operator in the loop. The prototype created has numerous applications among which include the inspection of vessels such as ship, airplanes and areas that are not accessible by human operators.","url":"https://doi.org/10.5281/zenodo.1061532","authors":["Regius Asiimwe","Anvar, Amir"],"tags":["UAV","AR drone","Kinect Sensors","Automation","Real time","C sharp","Microsoft Kinect SDK."],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2012","doi":"10.5281/zenodo.1061532","addedAt":"2026-08-31T06:40:00.189Z","updatedAt":"2026-08-31T06:40:00.189Z"},{"id":"doi:10.5281/zenodo.1061533","name":"Automation Of The Maritime Uav Command, Control, Navigation Operations, Simulated In Real-Time Using Kinect Sensor: A Feasibility Study","source":"datacite","abstract":"This paper describes the process used in the automation of the Maritime UAV commands using the Kinect sensor. The AR Drone is a Quadrocopter manufactured by Parrot [1] to be controlled using the Apple operating systems such as iPhones and Ipads. However, this project uses the Microsoft Kinect SDK and Microsoft Visual Studio C# (C sharp) software, which are compatible with Windows Operating System for the automation of the navigation and control of the AR drone. The navigation and control software for the Quadrocopter runs on a windows 7 computer. The project is divided into two sections; the Quadrocopter control system and the Kinect sensor control system. The Kinect sensor is connected to the computer using a USB cable from which commands can be sent to and from the Kinect sensors. The AR drone has Wi-Fi capabilities from which it can be connected to the computer to enable transfer of commands to and from the Quadrocopter. The project was implemented in C#, a programming language that is commonly used in the automation systems. The language was chosen because there are more libraries already established in C# for both the AR drone and the Kinect sensor. The study will contribute toward research in automation of systems using the Quadrocopter and the Kinect sensor for navigation involving a human operator in the loop. The prototype created has numerous applications among which include the inspection of vessels such as ship, airplanes and areas that are not accessible by human operators.","url":"https://doi.org/10.5281/zenodo.1061533","authors":["Regius Asiimwe","Anvar, Amir"],"tags":["UAV","AR drone","Kinect Sensors","Automation","Real time","C sharp","Microsoft Kinect SDK."],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2012","doi":"10.5281/zenodo.1061533","addedAt":"2026-08-31T06:40:00.189Z","updatedAt":"2026-08-31T06:40:00.189Z"},{"id":"doi:10.5281/zenodo.1062389","name":"Intelligent Condition Monitoring Systems For Unmanned Aerial Vehicle Robots","source":"datacite","abstract":"This paper presents the application of Intelligent Techniques to the various duties of Intelligent Condition Monitoring Systems (ICMS) for Unmanned Aerial Vehicle (UAV) Robots. These Systems are intended to support these Intelligent Robots in the event of a Fault occurrence. Neural Networks are used for Diagnosis, whilst Fuzzy Logic is intended for Prognosis and Remedy. The ultimate goals of ICMS are to save large losses in financial cost, time and data.","url":"https://doi.org/10.5281/zenodo.1062389","authors":["A. P. Anvar","T. Dowling","T. Putland","A. M. Anvar","S.Grainger"],"tags":["Intelligent Techniques","Condition Monitoring Systems","ICMS","Robots","Fault","Unmanned Aerial Vehicle","UAV","Neural Networks"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2012","doi":"10.5281/zenodo.1062389","addedAt":"2026-08-31T06:40:00.189Z","updatedAt":"2026-08-31T06:40:00.189Z"},{"id":"doi:10.5281/zenodo.1062390","name":"Intelligent Condition Monitoring Systems For Unmanned Aerial Vehicle Robots","source":"datacite","abstract":"This paper presents the application of Intelligent Techniques to the various duties of Intelligent Condition Monitoring Systems (ICMS) for Unmanned Aerial Vehicle (UAV) Robots. These Systems are intended to support these Intelligent Robots in the event of a Fault occurrence. Neural Networks are used for Diagnosis, whilst Fuzzy Logic is intended for Prognosis and Remedy. The ultimate goals of ICMS are to save large losses in financial cost, time and data.","url":"https://doi.org/10.5281/zenodo.1062390","authors":["A. P. Anvar","T. Dowling","T. Putland","A. M. Anvar","S.Grainger"],"tags":["Intelligent Techniques","Condition Monitoring Systems","ICMS","Robots","Fault","Unmanned Aerial Vehicle","UAV","Neural Networks"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2012","doi":"10.5281/zenodo.1062390","addedAt":"2026-08-31T06:40:00.189Z","updatedAt":"2026-08-31T06:40:00.189Z"},{"id":"doi:10.5281/zenodo.1161901","name":"A Theoretical Design Of A Combined Air And Ground Unmanned Vehicle For Search And Follow A Disaster","source":"datacite","abstract":"The combination between unmanned ground vehicle and unmanned Ariel vehicle has become a matter of discussion lately in the field of robotics. This paper proposes a theoretical design of an unmanned vehicle with dimensions of (370 X 367 X 318 mm) which can fly as aerial vehicle and move on the ground, so it is considered unmanned ground vehicle as well. Subsequently, hybrid design is appropriate for following disaster robot because of the harsh environment. This investigation comprises literature review on some previous works in this regards along with the conception of the vehicle is argued in details with 3 D drawings. Furthermore, some calculations of the drag, lift forces and power consumption are performed. Finally, MATLAB plots are extracted to give an indication of the displacement response of the automobile in both X-Y axes.","url":"https://doi.org/10.5281/zenodo.1161901","authors":["YAZEN .H SHAKIR"],"tags":["Following a disaster robot, air and ground unmanned vehicle, quad-rotor with ground vehicle."],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2017","doi":"10.5281/zenodo.1161901","addedAt":"2026-08-31T06:40:00.189Z","updatedAt":"2026-08-31T06:40:00.189Z"},{"id":"doi:10.5281/zenodo.1161902","name":"A Theoretical Design Of A Combined Air And Ground Unmanned Vehicle For Search And Follow A Disaster","source":"datacite","abstract":"The combination between unmanned ground vehicle and unmanned Ariel vehicle has become a matter of discussion lately in the field of robotics. This paper proposes a theoretical design of an unmanned vehicle with dimensions of (370 X 367 X 318 mm) which can fly as aerial vehicle and move on the ground, so it is considered unmanned ground vehicle as well. Subsequently, hybrid design is appropriate for following disaster robot because of the harsh environment. This investigation comprises literature review on some previous works in this regards along with the conception of the vehicle is argued in details with 3 D drawings. Furthermore, some calculations of the drag, lift forces and power consumption are performed. Finally, MATLAB plots are extracted to give an indication of the displacement response of the automobile in both X-Y axes.","url":"https://doi.org/10.5281/zenodo.1161902","authors":["YAZEN .H SHAKIR"],"tags":["Following a disaster robot, air and ground unmanned vehicle, quad-rotor with ground vehicle."],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2017","doi":"10.5281/zenodo.1161902","addedAt":"2026-08-31T06:40:00.189Z","updatedAt":"2026-08-31T06:40:00.189Z"},{"id":"doi:10.5281/zenodo.1091997","name":"Lidar Obstacle Warning And Avoidance System For Unmanned Aircraft","source":"datacite","abstract":"The availability of powerful eye-safe laser sources and the recent advancements in electro-optical and mechanical beam-steering components have allowed laser-based Light Detection and Ranging (LIDAR) to become a promising technology for obstacle warning and avoidance in a variety of manned and unmanned aircraft applications. LIDAR outstanding angular resolution and accuracy characteristics are coupled to its good detection performance in a wide range of incidence angles and weather conditions, providing an ideal obstacle avoidance solution, which is especially attractive in low-level flying platforms such as helicopters and small-to-medium size Unmanned Aircraft (UA). The Laser Obstacle Avoidance Marconi (LOAM) system is one of such systems, which was jointly developed and tested by SELEX-ES and the Italian Air Force Research and Flight Test Centre. The system was originally conceived for military rotorcraft platforms and, in this paper, we briefly review the previous work and discuss in more details some of the key development activities required for integration of LOAM on UA platforms. The main hardware and software design features of this LOAM variant are presented, including a brief description of the system interfaces and sensor characteristics, together with the system performance models and data processing algorithms for obstacle detection, classification and avoidance. In particular, the paper focuses on the algorithm proposed for optimal avoidance trajectory generation in UA applications.","url":"https://doi.org/10.5281/zenodo.1091997","authors":["Sabatini, Roberto","Gardi, Alessandro","Richardson, Mark A."],"tags":["LIDAR","Low-Level Flight","Nap-of-the-Earth Flight","Near Infra-Red","Obstacle Avoidance","Obstacle Detection","Obstacle Warning System","Sense and Avoid"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2014","doi":"10.5281/zenodo.1091997","addedAt":"2026-08-31T06:40:00.189Z","updatedAt":"2026-08-31T06:40:00.189Z"},{"id":"doi:10.5281/zenodo.1091998","name":"Lidar Obstacle Warning And Avoidance System For Unmanned Aircraft","source":"datacite","abstract":"The availability of powerful eye-safe laser sources and the recent advancements in electro-optical and mechanical beam-steering components have allowed laser-based Light Detection and Ranging (LIDAR) to become a promising technology for obstacle warning and avoidance in a variety of manned and unmanned aircraft applications. LIDAR outstanding angular resolution and accuracy characteristics are coupled to its good detection performance in a wide range of incidence angles and weather conditions, providing an ideal obstacle avoidance solution, which is especially attractive in low-level flying platforms such as helicopters and small-to-medium size Unmanned Aircraft (UA). The Laser Obstacle Avoidance Marconi (LOAM) system is one of such systems, which was jointly developed and tested by SELEX-ES and the Italian Air Force Research and Flight Test Centre. The system was originally conceived for military rotorcraft platforms and, in this paper, we briefly review the previous work and discuss in more details some of the key development activities required for integration of LOAM on UA platforms. The main hardware and software design features of this LOAM variant are presented, including a brief description of the system interfaces and sensor characteristics, together with the system performance models and data processing algorithms for obstacle detection, classification and avoidance. In particular, the paper focuses on the algorithm proposed for optimal avoidance trajectory generation in UA applications.","url":"https://doi.org/10.5281/zenodo.1091998","authors":["Sabatini, Roberto","Gardi, Alessandro","Richardson, Mark A."],"tags":["LIDAR","Low-Level Flight","Nap-of-the-Earth Flight","Near Infra-Red","Obstacle Avoidance","Obstacle Detection","Obstacle Warning System","Sense and Avoid"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2014","doi":"10.5281/zenodo.1091998","addedAt":"2026-08-31T06:40:00.189Z","updatedAt":"2026-08-31T06:40:00.189Z"},{"id":"doi:10.5281/zenodo.1100217","name":"Multidisciplinary And Multilevel Design Methodology Of Unmanned Aerial Vehicles Using Enhanced Collaborative Optimization","source":"datacite","abstract":"The present work describes the implementation of the Enhanced Collaborative Optimization (ECO) multilevel architecture with a gradient-based optimization algorithm with the aim of performing a multidisciplinary design optimization of a generic unmanned aerial vehicle with morphing technologies. The concepts of weighting coefficient and dynamic compatibility parameter are presented for the ECO architecture. A routine that calculates the aircraft performance for the user defined mission profile and vehicle’s performance requirements has been implemented using low fidelity models for the aerodynamics, stability, propulsion, weight, balance and flight performance. A benchmarking case study for evaluating the advantage of using a variable span wing within the optimization methodology developed is presented.","url":"https://doi.org/10.5281/zenodo.1100217","authors":["Albuquerque, Pedro F.","Gamboa, Pedro V.","Silvestre, Miguel A."],"tags":["Multidisciplinary","Multilevel","Morphing","Enhanced Collaborative Optimization (ECO)."],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2015","doi":"10.5281/zenodo.1100217","addedAt":"2026-08-31T06:40:00.189Z","updatedAt":"2026-08-31T06:40:00.189Z"},{"id":"doi:10.5281/zenodo.1100218","name":"Multidisciplinary And Multilevel Design Methodology Of Unmanned Aerial Vehicles Using Enhanced Collaborative Optimization","source":"datacite","abstract":"The present work describes the implementation of the Enhanced Collaborative Optimization (ECO) multilevel architecture with a gradient-based optimization algorithm with the aim of performing a multidisciplinary design optimization of a generic unmanned aerial vehicle with morphing technologies. The concepts of weighting coefficient and dynamic compatibility parameter are presented for the ECO architecture. A routine that calculates the aircraft performance for the user defined mission profile and vehicle’s performance requirements has been implemented using low fidelity models for the aerodynamics, stability, propulsion, weight, balance and flight performance. A benchmarking case study for evaluating the advantage of using a variable span wing within the optimization methodology developed is presented.","url":"https://doi.org/10.5281/zenodo.1100218","authors":["Albuquerque, Pedro F.","Gamboa, Pedro V.","Silvestre, Miguel A."],"tags":["Multidisciplinary","Multilevel","Morphing","Enhanced Collaborative Optimization (ECO)."],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2015","doi":"10.5281/zenodo.1100218","addedAt":"2026-08-31T06:40:00.189Z","updatedAt":"2026-08-31T06:40:00.189Z"},{"id":"doi:10.5281/zenodo.1133081","name":"Rapid Monitoring Of Earthquake Damages Using Optical And Sar Data","source":"datacite","abstract":"Earthquake is an inevitable catastrophic natural disaster. The damages of buildings and man-made structures, where most of the human activities occur are the major cause of casualties from earthquakes. A comparison of optical and SAR data is presented in the case of Kathmandu valley which was hardly shaken by 2015-Nepal Earthquake. Though many existing researchers have conducted optical data based estimated or suggested combined use of optical and SAR data for improved accuracy, however finding cloud-free optical images when urgently needed are not assured. Therefore, this research is specializd in developing SAR based technique with the target of rapid and accurate geospatial reporting. Should considers that limited time available in post-disaster situation offering quick computation exclusively based on two pairs of pre-seismic and co-seismic single look complex (SLC) images. The InSAR coherence pre-seismic, co-seismic and post-seismic was used to detect the change in damaged area. In addition, the ground truth data from field applied to optical data by random forest classification for detection of damaged area. The ground truth data collected in the field were used to assess the accuracy of supervised classification approach. Though a higher accuracy obtained from the optical data then integration by optical-SAR data. Limitation of cloud-free images when urgently needed for earthquak evevent are and is not assured, thus further research on improving the SAR based damage detection is suggested. Availability of very accurate damage information is expected for channelling the rescue and emergency operations. It is expected that the quick reporting of the post-disaster damage situation quantified by the rapid earthquake assessment should assist in channeling the rescue and emergency operations, and in informing the public about the scale of damage.","url":"https://doi.org/10.5281/zenodo.1133081","authors":["Saeid Gharechelou","Tateishi, Ryutaro"],"tags":["Sentinel-1A data","Landsat-8","earthquake damage","InSAR","rapid monitoring","2015-Nepal earthquake."],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2017","doi":"10.5281/zenodo.1133081","addedAt":"2026-08-31T06:40:00.189Z","updatedAt":"2026-08-31T06:40:00.189Z"},{"id":"doi:10.5281/zenodo.1133080","name":"Rapid Monitoring Of Earthquake Damages Using Optical And Sar Data","source":"datacite","abstract":"Earthquake is an inevitable catastrophic natural disaster. The damages of buildings and man-made structures, where most of the human activities occur are the major cause of casualties from earthquakes. A comparison of optical and SAR data is presented in the case of Kathmandu valley which was hardly shaken by 2015-Nepal Earthquake. Though many existing researchers have conducted optical data based estimated or suggested combined use of optical and SAR data for improved accuracy, however finding cloud-free optical images when urgently needed are not assured. Therefore, this research is specializd in developing SAR based technique with the target of rapid and accurate geospatial reporting. Should considers that limited time available in post-disaster situation offering quick computation exclusively based on two pairs of pre-seismic and co-seismic single look complex (SLC) images. The InSAR coherence pre-seismic, co-seismic and post-seismic was used to detect the change in damaged area. In addition, the ground truth data from field applied to optical data by random forest classification for detection of damaged area. The ground truth data collected in the field were used to assess the accuracy of supervised classification approach. Though a higher accuracy obtained from the optical data then integration by optical-SAR data. Limitation of cloud-free images when urgently needed for earthquak evevent are and is not assured, thus further research on improving the SAR based damage detection is suggested. Availability of very accurate damage information is expected for channelling the rescue and emergency operations. It is expected that the quick reporting of the post-disaster damage situation quantified by the rapid earthquake assessment should assist in channeling the rescue and emergency operations, and in informing the public about the scale of damage.","url":"https://doi.org/10.5281/zenodo.1133080","authors":["Saeid Gharechelou","Tateishi, Ryutaro"],"tags":["Sentinel-1A data","Landsat-8","earthquake damage","InSAR","rapid monitoring","2015-Nepal earthquake."],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2017","doi":"10.5281/zenodo.1133080","addedAt":"2026-08-31T06:40:00.189Z","updatedAt":"2026-08-31T06:40:00.189Z"},{"id":"doi:10.5281/zenodo.1132211","name":"Droning The Pedagogy: Future Prospect Of Teaching And Learning","source":"datacite","abstract":"Drones, the Unmanned Aerial Vehicles are playing an important role in real-world problem-solving. With the new advancements in technology, drones are becoming available, affordable and user- friendly. Use of drones in education is opening new trends in teaching and learning practices in an innovative and engaging way. Drones vary in types and sizes and possess various characteristics and capabilities which enhance their potential to be used in education from basic to advanced and challenging learning activities which are suitable for primary, middle and high school level. This research aims to provide an insight to explore different types of drones and their compatibility to be used in teaching different subjects at various levels. Research focuses on integrating the drone technology along with Australian curriculum content knowledge to reinforce the understanding of the fundamental concepts and helps to develop the critical thinking and reasoning in the learning process.","url":"https://doi.org/10.5281/zenodo.1132211","authors":["Farha Sattar","Tamatea, Laurence","Nawaz, Muhammad"],"tags":["Critical thinking","drone technology","drone types","innovative learning."],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2017","doi":"10.5281/zenodo.1132211","addedAt":"2026-08-31T06:40:00.189Z","updatedAt":"2026-08-31T06:40:00.189Z"},{"id":"doi:10.5281/zenodo.1132212","name":"Droning The Pedagogy: Future Prospect Of Teaching And Learning","source":"datacite","abstract":"Drones, the Unmanned Aerial Vehicles are playing an important role in real-world problem-solving. With the new advancements in technology, drones are becoming available, affordable and user- friendly. Use of drones in education is opening new trends in teaching and learning practices in an innovative and engaging way. Drones vary in types and sizes and possess various characteristics and capabilities which enhance their potential to be used in education from basic to advanced and challenging learning activities which are suitable for primary, middle and high school level. This research aims to provide an insight to explore different types of drones and their compatibility to be used in teaching different subjects at various levels. Research focuses on integrating the drone technology along with Australian curriculum content knowledge to reinforce the understanding of the fundamental concepts and helps to develop the critical thinking and reasoning in the learning process.","url":"https://doi.org/10.5281/zenodo.1132212","authors":["Farha Sattar","Tamatea, Laurence","Nawaz, Muhammad"],"tags":["Critical thinking","drone technology","drone types","innovative learning."],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2017","doi":"10.5281/zenodo.1132212","addedAt":"2026-08-31T06:40:00.189Z","updatedAt":"2026-08-31T06:40:00.189Z"},{"id":"doi:10.23670/irj.2017.58.144","name":"СХЕМА ШАССИ ДЛЯ ЛЕГКОГО БЕСПИЛОТНОГО ЛЕТАТЕЛЬНОГО АППАРАТА НА СОЛНЕЧНЫХ БАТАРЕЯХ","source":"datacite","abstract":"В статье приведена схема шасси для многофюзеляжного легкого беспилотного летательного аппарата и проведены расчеты нагрузки, которая будет приходиться на шасси при посадке. Также статья содержит описание предлагаемых авторами компонентов шасси, таких как амортизаторы, колеса, устройства по выпуску и складыванию стоек шасси. Схема шасси разрабатывалась так, чтобы ее вес был минимален, а надежность максимальна. Расчеты прочности шасси проводились при условии, что беспилотный летательный аппарат не будет использоваться для полетов на северных широтах. Отличительными особенностями предлагаемой схемы шасси являются отсутствие отдельных приводов выпуска и складывания стоек шасси и отсутствие системы торможения, устанавливаемой на стойки шасси. Приводится расчет параметров, которым должны соответствовать компоненты шасси для того, чтобы вся система эффективно функционировала.","url":"https://doi.org/10.23670/irj.2017.58.144","authors":["Уразбахтин, Р.Р.","Вавилов, В.Е."],"tags":["беспилотный летательный аппарат на солнечных батареях","шасси","амортизаторы","стойки шасси","система складывания и выпуска стоек шасси","unmanned aerial vehicle working on the solar cells","landing gear","shock absorbers"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2017","doi":"10.23670/irj.2017.58.144","addedAt":"2026-08-31T06:40:00.189Z","updatedAt":"2026-08-31T06:40:00.189Z"},{"id":"doi:10.1184/r1/12707963","name":"ALFA: A Dataset for UAV Fault and Anomaly Detection","source":"datacite","abstract":"The recent growth in the use of Autonomous Aerial Vehicles (AAVs) has increased concerns about the safety of the autonomous vehicles, the people, and the properties around the flight path and onboard the vehicle. Much research is being done on new regulations, more robust systems are designed to address the concerns, and new methods and algorithms are introduced to detect the potential hardware and software issues. This dataset presents several fault types in control surfaces of a fixed-wing Unmanned Aerial Vehicle (UAV) for use in Fault Detection and Isolation (FDI) and Anomaly Detection (AD) research. Currently, the dataset includes processed data for 47 autonomous flights with 23 sudden full engine failure scenarios and 24 scenarios for seven other types of sudden control surface (actuator) faults, with a total of 66 minutes of flight in normal conditions and 13 minutes of post-fault flight time. It additionally includes many hours of raw data of fully-autonomous, autopilot-assisted and manual flights with tens of fault scenarios. The ground truth of the time and type of faults is provided in each scenario to enable the evaluation of new methods using the dataset. We have also provided the helper tools in several programming languages to load and work with the data and to help the evaluation of a detection method using the dataset. A set of metrics is proposed to help to compare different methods using the dataset. Most of the current fault detection methods are evaluated in simulation and as far as we know, this dataset is the only one providing the real flight data with faults in such capacity. We hope it will help advance the state-of-the-art in Anomaly Detection or FDI research for Autonomous Aerial Vehicles and mobile robots to enhance the safety of autonomous and remote flight operations further. Hardware: The platform used for collecting the dataset is a custom modification of the Carbon Z T-28 model plane. The plane has 2 meters of wingspan, a single electric engine in the front, ailerons, flaperons, an elevator, and a rudder. We equipped the aircraft with a Holybro PX4 2.4.6 autopilot, a Pitot Tube, a GPS module, and an Nvidia Jetson TX2 onboard computer. In addition to the receiver, we also equipped it with a radio for communication with the ground station. Software: The Pixhawk autopilot uses a custom version of Ardupilot/ArduPlane firmware to control the plane in both manual and autonomous modes and to create the simulations. The original firmware is modified from ArduPlane v3.9.0beta1 to allow disabling control surfaces during the flight. The onboard computer uses Robot Operating System(ROS) Kinetic Kame on Linux Ubuntu 16.04 (Xenial) to read the flight and state information from the Pixhawk using MAVROS package (the MAVLink node for ROS). More Information and Supplemental Tools Please visit http://theairlab.org/alfa-dataset for more information. It includes the description of each flight sequence, alternative download locations to view and download each individual flight sequence, correct citations to the relevant publications, supplemental code, and an open-source published method using the dataset. The corresponding paper explaining the dataset in more detail is currently under review in the International Journal of Robotics Research (IJRR). The pre-print (arXiv) of the paper can be accessed from our website at http://theairlab.org/alfa-dataset . The supplemental tools for reading and working with the dataset in C++, MATLAB and Python languages can be accessed from https://github.com/castacks/alfa-dataset. The repository also includes a C++ ROS-based tool for evaluating the new methods and all the ROS message type definitions for working directly with the ROS bags. Citing the Work Please refer to our website at http://theairlab.org/alfa-dataset to find the correct citation(s) if you are using this dataset.","url":"https://doi.org/10.1184/r1/12707963","authors":["Keipour, Azarakhsh","Mohammadreza Mousaei","Scherer, Sebastian"],"tags":["90602 Control Systems, Robotics and Automation","FOS: Electrical engineering, electronic engineering, information engineering","FOS: Electrical engineering, electronic engineering, information engineering","80101 Adaptive Agents and Intelligent Robotics","FOS: Computer and information sciences","FOS: Computer and information sciences"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2020","doi":"10.1184/r1/12707963","addedAt":"2026-08-31T06:40:00.189Z","updatedAt":"2026-08-31T06:40:00.189Z"},{"id":"doi:10.5281/zenodo.3692914","name":"ANALYSIS AND COMPARISON OF MANET ROUTING PROTOCOLS FOR UAV COMMUNICATION","source":"datacite","abstract":"An unmanned aerial vehicle (UAV) is an aircraft without a human pilot and a type of unmanned vehicle. UAVs controlled with the help of remote controller. Due to increasing demand of UAVs the various researchers developed the new technologies in wireless communication system. This paper majorly concerns over the Analysis and comparison of MANET Routing protocols for UAV communication. UAVs are playing vital roles in mobile ad-hoc networks (MANETs). Routing is most important task when we are conducting the wireless communication among UAVs. In this paper we analyse the performance of different type of mobile ad-hoc network (MANET) protocols for the communication of UAVs. Various research papers over MANET Routing protocols for UAV communication are discussed in this review paper.","url":"https://doi.org/10.5281/zenodo.3692914","authors":["Kiranjeet Kaur* & Er. Avinash Jethi"],"tags":["Routing protocols; Unmanned aerial vehicle (UAV); mobile ad-hoc network (MANET); Flying ad-hoc network.(FANET)."],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2020","doi":"10.5281/zenodo.3692914","addedAt":"2026-08-31T06:40:00.189Z","updatedAt":"2026-08-31T06:40:00.189Z"},{"id":"doi:10.5281/zenodo.3692915","name":"ANALYSIS AND COMPARISON OF MANET ROUTING PROTOCOLS FOR UAV COMMUNICATION","source":"datacite","abstract":"An unmanned aerial vehicle (UAV) is an aircraft without a human pilot and a type of unmanned vehicle. UAVs controlled with the help of remote controller. Due to increasing demand of UAVs the various researchers developed the new technologies in wireless communication system. This paper majorly concerns over the Analysis and comparison of MANET Routing protocols for UAV communication. UAVs are playing vital roles in mobile ad-hoc networks (MANETs). Routing is most important task when we are conducting the wireless communication among UAVs. In this paper we analyse the performance of different type of mobile ad-hoc network (MANET) protocols for the communication of UAVs. Various research papers over MANET Routing protocols for UAV communication are discussed in this review paper.","url":"https://doi.org/10.5281/zenodo.3692915","authors":["Kiranjeet Kaur* & Er. Avinash Jethi"],"tags":["Routing protocols; Unmanned aerial vehicle (UAV); mobile ad-hoc network (MANET); Flying ad-hoc network.(FANET)."],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2020","doi":"10.5281/zenodo.3692915","addedAt":"2026-08-31T06:40:00.189Z","updatedAt":"2026-08-31T06:40:00.189Z"},{"id":"doi:10.5281/zenodo.3678057","name":"A THEORETICAL DESIGN OF A COMBINED AIR AND GROUND UNMANNED VEHICLE FOR SEARCH AND FOLLOW A DISASTER","source":"datacite","abstract":"The combination between unmanned ground vehicle and unmanned Ariel vehicle has become a matter of discussion lately in the field of robotics. This paper proposes a theoretical design of an unmanned vehicle with dimensions of (370 X 367 X 318 mm) which can fly as aerial vehicle and move on the ground, so it is considered unmanned ground vehicle as well. Subsequently, hybrid design is appropriate for following disaster robot because of the harsh environment. This investigation comprises literature review on some previous works in this regards along with the conception of the vehicle is argued in details with 3 D drawings. Furthermore, some calculations of the drag, lift forces and power consumption are performed. Finally, MATLAB plots are extracted to give an indication of the displacement response of the automobile in both X-Y axes.","url":"https://doi.org/10.5281/zenodo.3678057","authors":["YAZEN .H SHAKIR"],"tags":["Following a disaster robot","air and ground unmanned vehicle","quad-rotor with ground vehicle"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2017","doi":"10.5281/zenodo.3678057","addedAt":"2026-08-31T06:40:00.189Z","updatedAt":"2026-08-31T06:40:00.189Z"},{"id":"doi:10.5281/zenodo.3678056","name":"A THEORETICAL DESIGN OF A COMBINED AIR AND GROUND UNMANNED VEHICLE FOR SEARCH AND FOLLOW A DISASTER","source":"datacite","abstract":"The combination between unmanned ground vehicle and unmanned Ariel vehicle has become a matter of discussion lately in the field of robotics. This paper proposes a theoretical design of an unmanned vehicle with dimensions of (370 X 367 X 318 mm) which can fly as aerial vehicle and move on the ground, so it is considered unmanned ground vehicle as well. Subsequently, hybrid design is appropriate for following disaster robot because of the harsh environment. This investigation comprises literature review on some previous works in this regards along with the conception of the vehicle is argued in details with 3 D drawings. Furthermore, some calculations of the drag, lift forces and power consumption are performed. Finally, MATLAB plots are extracted to give an indication of the displacement response of the automobile in both X-Y axes.","url":"https://doi.org/10.5281/zenodo.3678056","authors":["YAZEN .H SHAKIR"],"tags":["Following a disaster robot","air and ground unmanned vehicle","quad-rotor with ground vehicle"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2017","doi":"10.5281/zenodo.3678056","addedAt":"2026-08-31T06:40:00.189Z","updatedAt":"2026-08-31T06:40:00.189Z"},{"id":"doi:10.5281/zenodo.3565558","name":"A THEORETICAL DESIGN OF A COMBINED AIR AND GROUND UNMANNED VEHICLE FOR SEARCH AND FOLLOW A DISASTER","source":"datacite","abstract":"The combination between unmanned ground vehicle and unmanned Ariel vehicle has become a matter of discussion lately in the field of robotics. This paper proposes a theoretical design of an unmanned vehicle with dimensions of (370 X 367 X 318 mm) which can fly as aerial vehicle and move on the ground, so it is considered unmanned ground vehicle as well. Subsequently, hybrid design is appropriate for following disaster robot because of the harsh environment. This investigation comprises literature review on some previous works in this regards along with the conception of the vehicle is argued in details with 3 D drawings. Furthermore, some calculations of the drag, lift forces and power consumption are performed. Finally, MATLAB plots are extracted to give an indication of the displacement response of the automobile in both X-Y axes.","url":"https://doi.org/10.5281/zenodo.3565558","authors":["YAZEN .H SHAKIR"],"tags":["Following a disaster robot","air and ground unmanned vehicle","quad-rotor with ground vehicle"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2017","doi":"10.5281/zenodo.3565558","addedAt":"2026-08-31T06:40:00.189Z","updatedAt":"2026-08-31T06:40:00.189Z"},{"id":"doi:10.5281/zenodo.3565557","name":"A THEORETICAL DESIGN OF A COMBINED AIR AND GROUND UNMANNED VEHICLE FOR SEARCH AND FOLLOW A DISASTER","source":"datacite","abstract":"The combination between unmanned ground vehicle and unmanned Ariel vehicle has become a matter of discussion lately in the field of robotics. This paper proposes a theoretical design of an unmanned vehicle with dimensions of (370 X 367 X 318 mm) which can fly as aerial vehicle and move on the ground, so it is considered unmanned ground vehicle as well. Subsequently, hybrid design is appropriate for following disaster robot because of the harsh environment. This investigation comprises literature review on some previous works in this regards along with the conception of the vehicle is argued in details with 3 D drawings. Furthermore, some calculations of the drag, lift forces and power consumption are performed. Finally, MATLAB plots are extracted to give an indication of the displacement response of the automobile in both X-Y axes.","url":"https://doi.org/10.5281/zenodo.3565557","authors":["YAZEN .H SHAKIR"],"tags":["Following a disaster robot","air and ground unmanned vehicle","quad-rotor with ground vehicle"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2017","doi":"10.5281/zenodo.3565557","addedAt":"2026-08-31T06:40:00.189Z","updatedAt":"2026-08-31T06:40:00.189Z"},{"id":"doi:10.5281/zenodo.3387084","name":"A THEORETICAL DESIGN OF A COMBINED AIR AND GROUND UNMANNED VEHICLE FOR SEARCH AND FOLLOW A DISASTER","source":"datacite","abstract":"The combination between unmanned ground vehicle and unmanned Ariel vehicle has become a matter of discussion lately in the field of robotics. This paper proposes a theoretical design of an unmanned vehicle with dimensions of (370 X 367 X 318 mm) which can fly as aerial vehicle and move on the ground, so it is considered unmanned ground vehicle as well. Subsequently, hybrid design is appropriate for following disaster robot because of the harsh environment. This investigation comprises literature review on some previous works in this regards along with the conception of the vehicle is argued in details with 3 D drawings. Furthermore, some calculations of the drag, lift forces and power consumption are performed. Finally, MATLAB plots are extracted to give an indication of the displacement response of the automobile in both X-Y axes.","url":"https://doi.org/10.5281/zenodo.3387084","authors":["YAZEN .H SHAKIR"],"tags":["Following a disaster robot","air and ground unmanned vehicle","quad-rotor with ground vehicle"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2017","doi":"10.5281/zenodo.3387084","addedAt":"2026-08-31T06:40:00.189Z","updatedAt":"2026-08-31T06:40:00.189Z"},{"id":"doi:10.5281/zenodo.3387083","name":"A THEORETICAL DESIGN OF A COMBINED AIR AND GROUND UNMANNED VEHICLE FOR SEARCH AND FOLLOW A DISASTER","source":"datacite","abstract":"The combination between unmanned ground vehicle and unmanned Ariel vehicle has become a matter of discussion lately in the field of robotics. This paper proposes a theoretical design of an unmanned vehicle with dimensions of (370 X 367 X 318 mm) which can fly as aerial vehicle and move on the ground, so it is considered unmanned ground vehicle as well. Subsequently, hybrid design is appropriate for following disaster robot because of the harsh environment. This investigation comprises literature review on some previous works in this regards along with the conception of the vehicle is argued in details with 3 D drawings. Furthermore, some calculations of the drag, lift forces and power consumption are performed. Finally, MATLAB plots are extracted to give an indication of the displacement response of the automobile in both X-Y axes.","url":"https://doi.org/10.5281/zenodo.3387083","authors":["YAZEN .H SHAKIR"],"tags":["Following a disaster robot","air and ground unmanned vehicle","quad-rotor with ground vehicle"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2017","doi":"10.5281/zenodo.3387083","addedAt":"2026-08-31T06:40:00.189Z","updatedAt":"2026-08-31T06:40:00.189Z"},{"id":"doi:10.5281/zenodo.3387073","name":"MORE ON INTERVAL-VALUED INTUITIONISTIC FUZZY SOFT MULTI SETS","source":"datacite","abstract":"The combination between unmanned ground vehicle and unmanned Ariel vehicle has become a matter of discussion lately in the field of robotics. This paper proposes a theoretical design of an unmanned vehicle with dimensions of (370 X 367 X 318 mm) which can fly as aerial vehicle and move on the ground, so it is considered unmanned ground vehicle as well. Subsequently, hybrid design is appropriate for following disaster robot because of the harsh environment. This investigation comprises literature review on some previous works in this regards along with the conception of the vehicle is argued in details with 3 D drawings. Furthermore, some calculations of the drag, lift forces and power consumption are performed. Finally, MATLAB plots are extracted to give an indication of the displacement response of the automobile in both X-Y axes.","url":"https://doi.org/10.5281/zenodo.3387073","authors":["Mukherjee, Anjan","Ajoy Kanti Das","Abhijit Saha"],"tags":["Soft set","interval-valued intuitionistic fuzzy set","interval-valued intuitionistic fuzzy soft set","interval-valued intuitionistic fuzzy soft multi set"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2015","doi":"10.5281/zenodo.3387073","addedAt":"2026-08-31T06:40:00.189Z","updatedAt":"2026-08-31T06:40:00.189Z"},{"id":"doi:10.5281/zenodo.3387072","name":"MORE ON INTERVAL-VALUED INTUITIONISTIC FUZZY SOFT MULTI SETS","source":"datacite","abstract":"The combination between unmanned ground vehicle and unmanned Ariel vehicle has become a matter of discussion lately in the field of robotics. This paper proposes a theoretical design of an unmanned vehicle with dimensions of (370 X 367 X 318 mm) which can fly as aerial vehicle and move on the ground, so it is considered unmanned ground vehicle as well. Subsequently, hybrid design is appropriate for following disaster robot because of the harsh environment. This investigation comprises literature review on some previous works in this regards along with the conception of the vehicle is argued in details with 3 D drawings. Furthermore, some calculations of the drag, lift forces and power consumption are performed. Finally, MATLAB plots are extracted to give an indication of the displacement response of the automobile in both X-Y axes.","url":"https://doi.org/10.5281/zenodo.3387072","authors":["Mukherjee, Anjan","Ajoy Kanti Das","Abhijit Saha"],"tags":["Soft set","interval-valued intuitionistic fuzzy set","interval-valued intuitionistic fuzzy soft set","interval-valued intuitionistic fuzzy soft multi set"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2015","doi":"10.5281/zenodo.3387072","addedAt":"2026-08-31T06:40:00.189Z","updatedAt":"2026-08-31T06:40:00.189Z"},{"id":"doi:10.5281/zenodo.3344603","name":"A THEORETICAL DESIGN OF A COMBINED AIR AND GROUND UNMANNED VEHICLE FOR SEARCH AND FOLLOW A DISASTER","source":"datacite","abstract":"The combination between unmanned ground vehicle and unmanned Ariel vehicle has become a matter of discussion lately in the field of robotics. This paper proposes a theoretical design of an unmanned vehicle with dimensions of (370 X 367 X 318 mm) which can fly as aerial vehicle and move on the ground, so it is considered unmanned ground vehicle as well. Subsequently, hybrid design is appropriate for following disaster robot because of the harsh environment. This investigation comprises literature review on some previous works in this regards along with the conception of the vehicle is argued in details with 3 D drawings. Furthermore, some calculations of the drag, lift forces and power consumption are performed. Finally, MATLAB plots are extracted to give an indication of the displacement response of the automobile in both X-Y axes.","url":"https://doi.org/10.5281/zenodo.3344603","authors":["YAZEN .H SHAKIR"],"tags":["Following a disaster robot","air and ground unmanned vehicle","quad-rotor with ground vehicle"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2017","doi":"10.5281/zenodo.3344603","addedAt":"2026-08-31T06:40:00.189Z","updatedAt":"2026-08-31T06:40:00.189Z"},{"id":"doi:10.5281/zenodo.3344604","name":"A THEORETICAL DESIGN OF A COMBINED AIR AND GROUND UNMANNED VEHICLE FOR SEARCH AND FOLLOW A DISASTER","source":"datacite","abstract":"The combination between unmanned ground vehicle and unmanned Ariel vehicle has become a matter of discussion lately in the field of robotics. This paper proposes a theoretical design of an unmanned vehicle with dimensions of (370 X 367 X 318 mm) which can fly as aerial vehicle and move on the ground, so it is considered unmanned ground vehicle as well. Subsequently, hybrid design is appropriate for following disaster robot because of the harsh environment. This investigation comprises literature review on some previous works in this regards along with the conception of the vehicle is argued in details with 3 D drawings. Furthermore, some calculations of the drag, lift forces and power consumption are performed. Finally, MATLAB plots are extracted to give an indication of the displacement response of the automobile in both X-Y axes.","url":"https://doi.org/10.5281/zenodo.3344604","authors":["YAZEN .H SHAKIR"],"tags":["Following a disaster robot","air and ground unmanned vehicle","quad-rotor with ground vehicle"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2017","doi":"10.5281/zenodo.3344604","addedAt":"2026-08-31T06:40:00.189Z","updatedAt":"2026-08-31T06:40:00.189Z"},{"id":"doi:10.5281/zenodo.2631047","name":"Design &amp; Development ofAgricultural Fertilizer Spraying Drone with Remote Controller and Autonomous Control with low weight Aluminium Alloy frame Structure","source":"datacite","abstract":"The Drone is a unique type of Unmanned Aerial Vehicle (UAV) which has Vertical Take Off and Landing (VTOL) ability. The World Health Organization estimates there are over one million chemical cases in each year. There in over one large integer deaths in every year, particularly in developing countries, the pesticides sprayed by soul and handling of pesticides. The health effects of pesticides such as embody respiratory disorder, allergies and hypersensitivity, and chemical exposure to cancer, endocrine disruption and issues with replica and craniates.Other pesticides may be irritated the skin and eyes. More pesticides are very dangerous carcinogens. Other pesticides are also affects on the internal secretion and system of the body. The low levels of exposure throughout spraying might have ends up in health effects. chemical exposure will cause a large vary of medicine health effects in body like state of mind, loss of coordination, reduced speed of response, reduced visual ability, altered or uncontrollable mood and general behaviour. Agricultural fertilizer spraying drone used for reducing time and human efforts. This project mainly concentrates on designing a low weight aluminium structure for the drone that sprays fertilizer for farming. Also describe the how to design and develop the Spaying mechanism with quad copter system.","url":"https://doi.org/10.5281/zenodo.2631047","authors":["Vikrant Krishna Suryawanshi","Dr. J. Ashok","Rajmane, Sumit Ashok","Snehal Shivaji Mali"],"tags":["Quad copter, UAV, Fertilizer, pesticides, spraying","http://matjournals.com/"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2019","doi":"10.5281/zenodo.2631047","addedAt":"2026-08-31T06:40:00.189Z","updatedAt":"2026-08-31T06:40:00.189Z"},{"id":"doi:10.5281/zenodo.2631046","name":"Design &amp; Development ofAgricultural Fertilizer Spraying Drone with Remote Controller and Autonomous Control with low weight Aluminium Alloy frame Structure","source":"datacite","abstract":"The Drone is a unique type of Unmanned Aerial Vehicle (UAV) which has Vertical Take Off and Landing (VTOL) ability. The World Health Organization estimates there are over one million chemical cases in each year. There in over one large integer deaths in every year, particularly in developing countries, the pesticides sprayed by soul and handling of pesticides. The health effects of pesticides such as embody respiratory disorder, allergies and hypersensitivity, and chemical exposure to cancer, endocrine disruption and issues with replica and craniates.Other pesticides may be irritated the skin and eyes. More pesticides are very dangerous carcinogens. Other pesticides are also affects on the internal secretion and system of the body. The low levels of exposure throughout spraying might have ends up in health effects. chemical exposure will cause a large vary of medicine health effects in body like state of mind, loss of coordination, reduced speed of response, reduced visual ability, altered or uncontrollable mood and general behaviour. Agricultural fertilizer spraying drone used for reducing time and human efforts. This project mainly concentrates on designing a low weight aluminium structure for the drone that sprays fertilizer for farming. Also describe the how to design and develop the Spaying mechanism with quad copter system.","url":"https://doi.org/10.5281/zenodo.2631046","authors":["Vikrant Krishna Suryawanshi","Dr. J. Ashok","Rajmane, Sumit Ashok","Snehal Shivaji Mali"],"tags":["Quad copter, UAV, Fertilizer, pesticides, spraying","http://matjournals.com/"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2019","doi":"10.5281/zenodo.2631046","addedAt":"2026-08-31T06:40:00.189Z","updatedAt":"2026-08-31T06:40:00.189Z"},{"id":"doi:10.5281/zenodo.2446669","name":"Performance Enhancement of Wireless Networks Using Cooperative Diversity Techniques","source":"datacite","abstract":"Channel weakening is one among the significant issues in wireless communication which can be overcome by the exploiting diversity gain, achieved via cooperation between nodes and relays. In order to improve the gain, generally, we require more than one transmitting antenna in a node, which is not too common due to the limits in size and complexity of wireless mobile devices. Anyway by offering reception apparatuses to other single-receiving wire hubs in a multi-client condition i.e., agreeable decent variety, a virtual multi-radio wire cluster is framed and transmit-assorted variety is cultivated. In our proposed work, a network containing a sender, a destination and a fixed relay, is analyzed with modified cooperative diversity scheme such as Amplify-Quantize and Forward (AFQ) and compared with existing cooperative communication protocol i.e., Amplify and forward (AF). Moreover the performance of the proposed work is evaluated in terms of Bit-Error Rate, SNR and Outage Probability.","url":"https://doi.org/10.5281/zenodo.2446669","authors":["M.Keerthana Lakshmi","G.Sivakannu"],"tags":["Amplify-Quantize and Forward","Cooperative Diversity","Signal-to-Noise-Ratio","Outage Probability","http://matjournals.com/Engineering-Journals.html"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2018","doi":"10.5281/zenodo.2446669","addedAt":"2026-08-31T06:40:00.189Z","updatedAt":"2026-08-31T06:40:00.189Z"},{"id":"doi:10.5281/zenodo.2446670","name":"Performance Enhancement of Wireless Networks Using Cooperative Diversity Techniques","source":"datacite","abstract":"Channel weakening is one among the significant issues in wireless communication which can be overcome by the exploiting diversity gain, achieved via cooperation between nodes and relays. In order to improve the gain, generally, we require more than one transmitting antenna in a node, which is not too common due to the limits in size and complexity of wireless mobile devices. Anyway by offering reception apparatuses to other single-receiving wire hubs in a multi-client condition i.e., agreeable decent variety, a virtual multi-radio wire cluster is framed and transmit-assorted variety is cultivated. In our proposed work, a network containing a sender, a destination and a fixed relay, is analyzed with modified cooperative diversity scheme such as Amplify-Quantize and Forward (AFQ) and compared with existing cooperative communication protocol i.e., Amplify and forward (AF). Moreover the performance of the proposed work is evaluated in terms of Bit-Error Rate, SNR and Outage Probability.","url":"https://doi.org/10.5281/zenodo.2446670","authors":["M.Keerthana Lakshmi","G.Sivakannu"],"tags":["Amplify-Quantize and Forward","Cooperative Diversity","Signal-to-Noise-Ratio","Outage Probability","http://matjournals.com/Engineering-Journals.html"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2018","doi":"10.5281/zenodo.2446670","addedAt":"2026-08-31T06:40:00.189Z","updatedAt":"2026-08-31T06:40:00.189Z"},{"id":"doi:10.5281/zenodo.3900936","name":"A THEORETICAL DESIGN OF A COMBINED AIR AND GROUND UNMANNED VEHICLE FOR SEARCH AND FOLLOW A DISASTER","source":"datacite","abstract":"The combination between unmanned ground vehicle and unmanned Ariel vehicle has become a matter of discussion lately in the field of robotics. This paper proposes a theoretical design of an unmanned vehicle with dimensions of (370 X 367 X 318 mm) which can fly as aerial vehicle and move on the ground, so it is considered unmanned ground vehicle as well. Subsequently, hybrid design is appropriate for following disaster robot because of the harsh environment. This investigation comprises literature review on some previous works in this regards along with the conception of the vehicle is argued in details with 3 D drawings. Furthermore, some calculations of the drag, lift forces and power consumption are performed. Finally, MATLAB plots are extracted to give an indication of the displacement response of the automobile in both X-Y axes.","url":"https://doi.org/10.5281/zenodo.3900936","authors":["YAZEN .H SHAKIR"],"tags":["Following a disaster robot","air and ground unmanned vehicle","quad-rotor with ground vehicle"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2017","doi":"10.5281/zenodo.3900936","addedAt":"2026-08-31T06:40:00.189Z","updatedAt":"2026-08-31T06:40:00.189Z"},{"id":"doi:10.5281/zenodo.3900937","name":"A THEORETICAL DESIGN OF A COMBINED AIR AND GROUND UNMANNED VEHICLE FOR SEARCH AND FOLLOW A DISASTER","source":"datacite","abstract":"The combination between unmanned ground vehicle and unmanned Ariel vehicle has become a matter of discussion lately in the field of robotics. This paper proposes a theoretical design of an unmanned vehicle with dimensions of (370 X 367 X 318 mm) which can fly as aerial vehicle and move on the ground, so it is considered unmanned ground vehicle as well. Subsequently, hybrid design is appropriate for following disaster robot because of the harsh environment. This investigation comprises literature review on some previous works in this regards along with the conception of the vehicle is argued in details with 3 D drawings. Furthermore, some calculations of the drag, lift forces and power consumption are performed. Finally, MATLAB plots are extracted to give an indication of the displacement response of the automobile in both X-Y axes.","url":"https://doi.org/10.5281/zenodo.3900937","authors":["YAZEN .H SHAKIR"],"tags":["Following a disaster robot","air and ground unmanned vehicle","quad-rotor with ground vehicle"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2017","doi":"10.5281/zenodo.3900937","addedAt":"2026-08-31T06:40:00.189Z","updatedAt":"2026-08-31T06:40:00.189Z"},{"id":"doi:10.2139/ssrn.6719182","name":"Channel Characterization of Unmanned Aerial Vehicle-to-Ground linksBased on 802.11n Measurements in a University Campus","source":"crossref","abstract":"The use of low altitude Unmanned Aerial Vehicles(UAVs) in wireless communication is promisingdue to the relative low cost of UAVs and the ease of deployment of UAV-enabled communication. Priorto successful deployment of UAV-enabled wireless communication systems, measurement campaignsare often undertaken to properly characterize the UAV related channels. In this paper we report theresults of extensive measurements carried out on 802.11n based UAV-to-ground links at 2.4GHz. Wederive the path loss model from the measurements, and show the effect of UAV height on the path lossof the considered links. Our analysis show that our proposed path loss model fits the measurementdata better than established empirical models. To the best of our knowledge, our paper reports the firstUAV-to-ground measurements carried out on a University Campus in Nigeria. So, our results providea good reference for network planners and provide insight into UAV-to-ground links in environmentswith similar terrain. Typical path loss exponents from our measurement campaign were 0.6764 to1.9573.","url":"https://doi.org/10.2139/ssrn.6719182","authors":["Innocent Alex","Uyoata  Etuk Uyoata","Matthew  Kwatri Luka"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-05-05T17:46:10Z","doi":"10.2139/ssrn.6719182","addedAt":"2026-08-31T06:40:00.495Z","updatedAt":"2026-08-31T06:40:00.495Z"},{"id":"doi:10.2139/ssrn.6926151","name":"System Identification Parameter Study using Lateral Motion of a Fixed-Wing Unmanned Aerial Vehicle With Limited Flight Data","source":"crossref","abstract":"Accurate flight dynamic models are essential for performance assessment, certification, and safety assurance in the aerospace industry. While traditional aviation relies on dedicated flight test campaigns, the fast-paced UAV market often lacks resources and time. This work proposes a cost- and time-effective methodology for the lateral-direction system identification, which uses scarce, unplanned flight data. An output-error optimisation algorithm in the time-domain formulation is used to tune the simulated aircraft response until it converges with observable flight log data, targeting roll and yaw angular positions and rates states. Using a medium-sized fixed-wing UAV as a case study, the lateral-directional aerodynamic and control system parameters are identified from a limited set of operational manoeuvres, executed without specific control inputs or navigation guidelines. Different state error combinations in terms of absolute or relative formulations, and cost functions consisting of mean error or standard deviation, were evaluated. Single-manoeuvre optimisations result in biased and overfit models. Best results were obtained using multi-manoeuvre data, particularly when minimising for standard deviation, with error computed with $L_{0.5}$ or $L_{2}$ norms, using the absolute error for roll, bank and yaw angles, and the relative error for yaw rate. The identified model exhibited very good accuracy in replicating a set of validation manoeuvre flight data. The proposed methodology is generic and easily extended to identify other motion characteristics of any aircraft.","url":"https://doi.org/10.2139/ssrn.6926151","authors":["Nuno Matos","André Marta","Francisco Machado"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-06-12T14:42:36Z","doi":"10.2139/ssrn.6926151","addedAt":"2026-08-31T06:40:00.495Z","updatedAt":"2026-08-31T06:40:00.495Z"},{"id":"doi:10.46299/979-8-90383-421-1.4","name":"METHOD TO IMPROVE THE SAFETY OF UNMANNED AERIAL VEHICLE FLIGHTS IN URBAN AREAS BASED ON MACHINE LEARNING TECHNOLOGIES","source":"crossref","abstract":"","url":"https://doi.org/10.46299/979-8-90383-421-1.4","authors":["Oleksii Kolomiitsev","Ihor Rudakov","Albert Katunin","Volodymyr Pustovarov","Oleh Dmitriiev"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-04-20T18:51:28Z","doi":"10.46299/979-8-90383-421-1.4","addedAt":"2026-08-31T06:40:00.495Z","updatedAt":"2026-08-31T06:40:00.495Z"},{"id":"doi:10.56294/dm2026802","name":"Performance evaluation of unmanned aerial vehicle conflict detection algorithm based on machine learning","source":"crossref","abstract":"Introduction: The increasing use of UAVs in surveillance, logistics, agriculture, and disaster response has led to higher air traffic and raised concerns about safe flight operations and collision avoidance. Managing multiple UAVs in shared airspace requires efficient conflict detection methods, as traditional approaches struggle with complex flight patterns, uncertain data, and prediction needs.Objective: This study presents a machine learning framework for unmanned aerial vehicle conflict detection, which uses Adaptive Kookaburra Optimized-Light Gradient Boosting Machine (AdapKO-LightGBM) as its foundational technology.Method: To detect dynamic flight patterns and temporal conflict patterns, the research used the UAV Conflict Detection Dataset, which includes position, velocity, altitude, heading angle, and inter-UAV distance. The data was preprocessed using min-max normalization and Kalman filtering, and features were extracted using the Short-Time Fourier Transform (STFT), which converted trajectory signals into time-frequency representations. Result: The proposed model was evaluated through classification accuracy tests, which measured its ability to detect UAV conflicts and non-conflicts through experiments that used a Python implementation. AdapKO-LightGBM reached its highest accuracy of 96,75%, which [w1.1][w2.1]bettered the results of NNPw/Fine-Tuned MobileNetV2 and MobileNetV3 Small. [w3.1][w4.1]Conclusion: The model develops reliable UAV conflict detection abilities, which improve intelligent airspace management capabilities according to the research findings.","url":"https://doi.org/10.56294/dm2026802","authors":["Wei Zhang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-05-17T10:56:04Z","doi":"10.56294/dm2026802","addedAt":"2026-08-31T06:40:00.495Z","updatedAt":"2026-08-31T06:40:00.495Z"},{"id":"doi:10.1007/978-981-96-9662-8_9","name":"Intelligent Security for UAV-Assisted RIS Networks","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-981-96-9662-8_9","authors":["Ahmad Almadhor","Umair Ahmad Mughal","Ishtiaq Ahmad","Muhammad Ali Jamshed","Ahmed Alkhayyat"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-05-18T14:15:04Z","doi":"10.1007/978-981-96-9662-8_9","addedAt":"2026-08-31T06:40:00.495Z","updatedAt":"2026-08-31T06:40:00.495Z"},{"id":"doi:10.1109/das69882.2026.11553282","name":"A Microservice-Based Architecture for Unmanned Aerial Vehicle Control Systems","source":"crossref","abstract":"","url":"https://doi.org/10.1109/das69882.2026.11553282","authors":["Ioan Gorgos","Valeriu Cojocaru","Viorel Carbune","Maria Gutu"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-06-10T19:59:27Z","doi":"10.1109/das69882.2026.11553282","addedAt":"2026-08-31T06:40:00.495Z","updatedAt":"2026-08-31T06:40:00.495Z"},{"id":"doi:10.1049/icp.2026.2082","name":"Aerodynamic analysis of V-tail fixed-wing unmanned aerial vehicle","source":"crossref","abstract":"","url":"https://doi.org/10.1049/icp.2026.2082","authors":["Suhaib J. Shbailat"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-07-22T11:46:54Z","doi":"10.1049/icp.2026.2082","addedAt":"2026-08-31T06:40:00.495Z","updatedAt":"2026-08-31T06:40:05.993Z"},{"id":"doi:10.1109/melecon64486.2026.11418847","name":"Robust Cascaded PID Disturbance Observer-Based Control of an Unmanned Quadrotor Aerial Vehicle","source":"crossref","abstract":"","url":"https://doi.org/10.1109/melecon64486.2026.11418847","authors":["Mohammed Hany","Mohamed Elsayd","Ayman El-Badawy"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-03-10T19:50:57Z","doi":"10.1109/melecon64486.2026.11418847","addedAt":"2026-08-31T06:40:00.495Z","updatedAt":"2026-08-31T06:40:00.495Z"},{"id":"doi:10.22161/ijcmp.10.2.2","name":"Unmanned Aerial Vehicle Automatic Illumination System (Auto-Zoom Illumination Optical System)","source":"crossref","abstract":"In planetary surface and underwater reconnaissance, UAVs are critical. This study proposes an automatic zoom illumination system for extraterrestrial surface exploration, leveraging the inverse-square relationship between illuminance and distance. The investigation is divided into two parts: the illuminance–distance relationship and the zoom optical system. In part one, the inverse-square law E=I/r2 is experimentally verified using five LED downlights of different powers. At distances of 1 m and 2 m, the measured illuminance values closely match the theoretical predictions, with an average error of only 2.3%. This confirms that illuminance decreases with the square of distance. Thus, when a UAV at a fixed altitude encounters terrain depressions, the power adjustment needed to maintain illuminance can be calculated from the laser-measured distance.The second part addresses the zoom optical system. To increase local illuminance, one can raise the LED power to boost luminous flux, using E=Φ/A. With a maximum efficacy of 150 lm/W, the required power can be derived. If the needed power exceeds the LED’s rating, one may use a spherical lens to concentrate light or a laser system. This work focuses on the lens approach. Varying the LED–lens distance changes the refraction angle, adjusting beam divergence and concentrating light. Optical simulations optimize floodlight uniformity and spotlight efficiency, enabling a zoom beam from focused to wide. The relationships among source–lens separation, distance, and illuminance are determined.","url":"https://doi.org/10.22161/ijcmp.10.2.2","authors":["Ching Chih-Yen"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-06-04T10:16:26Z","doi":"10.22161/ijcmp.10.2.2","addedAt":"2026-08-31T06:40:00.495Z","updatedAt":"2026-08-31T06:40:00.495Z"},{"id":"doi:10.54216/jcim.180105","name":"Risk-Aware Cyberattack Analytics for Unmanned Aerial Vehicle Communications: A Publication-Ready Gradient- Boosting Framework","source":"crossref","abstract":"","url":"https://doi.org/10.54216/jcim.180105","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-04-26T19:09:51Z","doi":"10.54216/jcim.180105","addedAt":"2026-08-31T06:40:00.495Z","updatedAt":"2026-08-31T06:40:00.495Z"},{"id":"doi:10.1109/ispp69262.2026.11543048","name":"HFSP-YOLO: A Heterogeneous Feature Synergy Paradigm for Unmanned Aerial Vehicle Imagery","source":"crossref","abstract":"","url":"https://doi.org/10.1109/ispp69262.2026.11543048","authors":["Xiaoying Yang","Xiaoyan He"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-06-16T19:41:22Z","doi":"10.1109/ispp69262.2026.11543048","addedAt":"2026-08-31T06:40:00.495Z","updatedAt":"2026-08-31T06:40:00.495Z"},{"id":"doi:10.1016/j.ast.2026.112221","name":"Autopilot for unmanned aerial vehicle using model predictive control with embedded integrators","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.ast.2026.112221","authors":["Piotr A. Felisiak"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-03-27T08:19:00Z","doi":"10.1016/j.ast.2026.112221","addedAt":"2026-08-31T06:40:00.495Z","updatedAt":"2026-08-31T06:40:00.495Z"},{"id":"doi:10.2139/ssrn.6570247","name":"Spatiotemporal Dynamics Modeling and Simulation of Cascading Failure and Endogenous Recovery in Unmanned Aerial Vehicle Swarms under Cognitive Jamming","source":"crossref","abstract":"Unmanned Aerial Vehicle (UAV) swarm coordination relies heavily on communication stability, which is highly vulnerable to cascading failures triggered by traffic-energy coupling under cognitive interference. To address the limitations of static models in dynamic adversarial environments, a spatiotemporal dynamics model for cascading failure and endogenous recovery is developed. Through the integration of a cross-domain mapping mechanism, logical adversarial features are bridged with physical motion responses to reveal cyber-physical coupling. An intelligent interference strategy is further coupled with load-energy dynamics to characterize the destruction of backbone nodes and the spatiotemporal propagation of faults. To mitigate these impacts, an endogenous recovery mechanism driven by virtual potential field maneuvers and a “resilience energy tax” is proposed, enabling logical topology reconfiguration through self-organized physical evolution. Simulation results demonstrate that this mechanism facilitates degraded survivability, securing global functional stability at the cost of localized energy efficiency. A cognitive-sensitive phase transition is identified, revealing that interferer intelligence is a more potent driver of system collapse than raw power. Finally, Pareto analysis quantifies the trade-offs between recovery delay and energy expenditure, elucidating the transition from static invulnerability to dynamic resilience. These findings provide a theoretical framework for the resilient design of resource-constrained UAV swarms.","url":"https://doi.org/10.2139/ssrn.6570247","authors":["Yezhuo Xu","husheng wu","Ling Lu"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-04-13T18:43:36Z","doi":"10.2139/ssrn.6570247","addedAt":"2026-08-31T06:40:00.495Z","updatedAt":"2026-08-31T06:40:00.495Z"},{"id":"doi:10.2139/ssrn.7359222","name":"Detail-Preserving Pyramid-to-Hypergraph Relation Learning for Tiny Unmanned Aerial Vehicle Detection","source":"crossref","abstract":"Tiny unmanned aerial vehicle (UAV) detection in visible-light imagery is constrained by weak target cues, spatially varying scale requirements, and clutter-induced responses. We formulate the task as an ordered representation problem involving detail preservation, location-dependent pyramid coordination, and candidate-restricted high order relation learning. The proposed Pyramid-to-Hypergraph detector (P2H) contains a Tri-Cue Detail Encoder (TCDE) and a Pyramid-to-Hypergraph Relation Learning (PHRL). TCDE combines local texture, contextual evidence, and high-frequency residual cues through sample-dependent scalar weights. Within PHRL, the Spatial Scale Router (SSR) aligns the $P_2$--$P_5$ hierarchy and assigns a normalized location-dependent mixture over the four scales. The Salient Hypergraph Reasoner (SHR) then constructs multi-cardinality semantic--spatial hyperedges over selected candidates and propagates their relational information. Evaluation uses 13,499 images containing 13,941 UAV instances compiled from six public datasets, with 10,000 images for training, 2,000 for validation, and 1,499 for testing. Under fixed data partitions and consistent evaluation criteria, P2H achieves 89.27\\% precision, 84.62\\% average precision at an intersection-over-union threshold of 0.50 ($\\mathrm{AP}_{50}$), 58.01\\% at 0.75 ($\\mathrm{AP}_{75}$), 54.91\\% over thresholds from 0.50 to 0.95 ($\\mathrm{AP}_{50:95}$), and 58.78\\% for small objects ($\\mathrm{AP}_{s}$). Ablations show complementary contributions from TCDE and PHRL, while the lower large-object average precision indicates scale-dependent gains under the evaluated setting.","url":"https://doi.org/10.2139/ssrn.7359222","authors":["Youhui Xia","Yuxuan Nie","Yutong Song","Yunhao Meng","Xin Jin","Qian Jiang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-08-27T12:43:41Z","doi":"10.2139/ssrn.7359222","addedAt":"2026-08-31T06:40:00.495Z","updatedAt":"2026-08-31T06:40:00.495Z"},{"id":"doi:10.2139/ssrn.6074077","name":"UAV-YOLO: Multi-Scale Attention and Temporal Fusion for Enhanced Unmanned Aerial Vehicle Object Detection","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.6074077","authors":["Rijun Wang","Canjin wang","Peng Sun","Lukai Gong","Lian Gu"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-01-26T16:13:31Z","doi":"10.2139/ssrn.6074077","addedAt":"2026-08-31T06:40:00.495Z","updatedAt":"2026-08-31T06:40:00.495Z"},{"id":"doi:10.46684/2026.2.3","name":"Analysis of numerical integration methods for unmanned aerial vehicle flight dynamics simulation","source":"crossref","abstract":"Compute simulation of a UAV flight in a six-degree-of-freedom model involves numerical integration of a system of twelve non-linear ordinary differential equations. The solution quality and simulator speed depend directly on a chosen integration scheme, yet the choice is usually made by habit rather than by quantitative evidence on specific problems. Purpose: Provide a quantitative comparison of five one-step integration methods-explicit Euler, Heun, midpoint RK2, classic RK4, and adaptive Runge–Kutta–Fehlberg (RKF45)- on fixed-wing UAV dynamics problems, using the author’s Python-based simulator as the implementation platform. Results: In a 60-second cruise flight with a step size of 0.01 s, RK4 produces a coordinate error of 8.6·10 -7 m, while explicit Euler, at the same step size, accumulates 1.23 m - a sixorders-of-magnitude gap. In a coordinated turn, Euler error reaches 64 m at the same step size, which is unacceptable. The adaptive RKF45 scheme with tol = 10 -6 during the cruise reduces the number of right-hand-side evaluations from 24,000 (RK4, h = 0.01 s) to 5,900, a fourfold saving at a comparable accuracy. In the wind-gust scenario, the advantage is even larger - 3.700 vs 12,000 evaluations, with both the coordinate and velocity errors smaller than those of fixed-step RK4 by a factor of about twenty. Practical significance: The authors give quantitative recommendations for selecting an integrator depending on the flight mode and requirements for determinacy of the computational cycle.","url":"https://doi.org/10.46684/2026.2.3","authors":["I. V. Strelkov","L. M. Bozhko"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-07-29T11:48:46Z","doi":"10.46684/2026.2.3","addedAt":"2026-08-31T06:40:00.495Z","updatedAt":"2026-08-31T06:40:00.495Z"},{"id":"doi:10.31315/imagi.v6i1.16189","name":"Estimasi Volume Tambang Batu Kapur Menggunakan Foto Udara Unmanned Aerial Vehicle","source":"crossref","abstract":"Pertambangan batu kapur memiliki peran strategis dalam penyediaan bahan baku industri konstruksi, semen, dan kimia. Pengelolaan tambang memerlukan estimasi volume galian sebagai dasar perencanaan produksi. Estimasi volume dilakukan dengan melakukan pengukuran dan perhitungan menggunakan berbagai metode survei dan pemetaan. Penelitian ini bertujuan untuk membuat Digital Terrain Model (DTM) dari foto udara, menilai ketelitian model berdasarkan Peraturan BIG Nomor 18 Tahun 2021, dan menghitung estimasi volume galian batu kapur menggunakan DTM. Akuisisi data dilakukan menggunakan UAV Quadcopter untuk pemotretan udara. Penentuan tujuh titik GCP dan empat titik ICP dilakukan menggunakan GNSS metode rapid static. Sebanyak 1.186 foto diolah dengan algoritma Structure from Motion untuk menghasilkan DTM. Proses klasifikasi point clouds, pembuatan TIN, dan penghitungan volume dilakukan menggunakan perangkat lunak komersial. Uji ketelitian model dilakukan dengan penghitungan CE90 dan LE90. Hasil penelitian menunjukkan bahwa model DTM memiliki ketelitian CE90 sebesar 0,026 m dan LE90 sebesar 0,052 m, sehingga memenuhi standar peta kelas 1 skala 1:1000. Estimasi volume galian pada elevasi 379,900 m menghasilkan volume 914.198,4 m³, sedangkan pada elevasi 342,346 m menghasilkan volume 2.546.016,1 m³.","url":"https://doi.org/10.31315/imagi.v6i1.16189","authors":["Arya Aswadana","Hanif Ilmawan"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-07-28T07:55:17Z","doi":"10.31315/imagi.v6i1.16189","addedAt":"2026-08-31T06:40:00.495Z","updatedAt":"2026-08-31T06:40:00.495Z"},{"id":"doi:10.1016/j.acags.2026.100319","name":"Benchmarking lightweight deep networks for real-time flood segmentation in unmanned aerial vehicle imagery","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.acags.2026.100319","authors":["Alireza Sharifi"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-02-01T06:30:20Z","doi":"10.1016/j.acags.2026.100319","addedAt":"2026-08-31T06:40:00.495Z","updatedAt":"2026-08-31T06:40:00.495Z"},{"id":"doi:10.47278/journal.ijab/2026.173","name":"Unmanned Aerial Vehicle-Based Estimation of Canopy Height and Density for FirstStage Family Selection in Sugarcane Breeding","source":"crossref","abstract":"","url":"https://doi.org/10.47278/journal.ijab/2026.173","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-08-21T06:36:19Z","doi":"10.47278/journal.ijab/2026.173","addedAt":"2026-08-31T06:40:00.495Z","updatedAt":"2026-08-31T06:40:00.495Z"},{"id":"doi:10.1016/j.neucom.2026.134600","name":"Multi-agent deep reinforcement learning for unmanned aerial vehicle navigation: A comprehensive survey","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.neucom.2026.134600","authors":["Basil M. Alzboun","Bilal H. Abed-alguni","Osama Qtaish"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-07-29T16:04:23Z","doi":"10.1016/j.neucom.2026.134600","addedAt":"2026-08-31T06:40:00.495Z","updatedAt":"2026-08-31T06:40:00.495Z"},{"id":"doi:10.1016/j.adhoc.2026.104200","name":"Optimization for joint Unmanned Aerial Vehicle (UAV) deployment and sensor association in wireless powered sensor networks","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.adhoc.2026.104200","authors":["Haiyan Shi"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-02-26T17:16:50Z","doi":"10.1016/j.adhoc.2026.104200","addedAt":"2026-08-31T06:40:00.495Z","updatedAt":"2026-08-31T06:40:00.495Z"},{"id":"doi:10.18127/j20700784-202603-06","name":"Hardware-in-the-loop simulation system of the unmanned aerial vehicle autonomous navigation","source":"crossref","abstract":"In the development of unmanned aerial vehicles (UAV), ground testing of proposed technical solutions is an important part to ensure that the test object meets the functional requirements. Currently, approaches to debugging and testing of UAV systems are being actively developed using modular testing tools for on-board UAV systems based on Hardware-in-the-Loop simulation. The key role is played by measuring systems (stands) with full or partial simulation of the on-board control systems functioning. The aim of this work is to provide autonomous testing of unmanned aerial vehicles by using the Hardware-in-the-Loop technology of the navigation system. In this case, the problem of providing UAV autonomous group navigation by visual reference points is considered, including in a complex interference environment of real operating conditions. To achieve this goal, the Hardware-in-the-Loop simulation system of the unmanned aerial vehicle autonomous navigation was developed, which ensures the development and testing of algorithms for UAV group navigation in the absence of navigation signals from global positioning systems (GPS, GLONASS). The technical implementation and simulation results of the proposed system for semi-field simulation of autonomous navigation are considered in detail. The proposed Hardware-in-the-Loop simulation system includes: the library of reference point coordinates, the module for forming and correcting the target UAV flight trajectory, the neural network model of UAV group autonomous navigation, the module for evaluation the navigation task quality indicators, the UAV spatial dynamics model, the external influences model (atmospheric parameters and random air fluctuations). To ensure group autonomous navigation, a combination of convolutional (CNN) and recurrent (RNN) neural networks with long-short-term memory (LSTM) blocks is used. The process of conducting autonomous tests using the proposed system involves the formation of initial conditions and flight scenarios, training the autonomous navigation neural network, modeling the flight route and the aircraft reactions to obstacles, and assessing the navigation system quality. The autonomous testing environment is a dense urban development with intervals between individual obstacles no more than 5 meters and a park area with open areas for testing UAV maneuvering and navigation among natural obstacles. At the same time, periodic interference of navigation signals can be caused by both \"urban canyons\" of signal loss and the presence of external intentional radio frequency interference. The simulation results showed that the proposed Hardware-in-the-Loop simulation system of the UAV autonomous navigation ensures testing of group autonomous navigation models in difficult operating conditions, algorithms for restoring navigation parameters, optimal planning of the target flight path and real-time obstacle avoidance.","url":"https://doi.org/10.18127/j20700784-202603-06","authors":["O.V. Drozd"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-05-06T15:44:35Z","doi":"10.18127/j20700784-202603-06","addedAt":"2026-08-31T06:40:00.495Z","updatedAt":"2026-08-31T06:40:00.495Z"},{"id":"doi:10.1007/s10453-025-09897-3","name":"Direct sampling and bioanalyses of atmospheric bioaerosols via an unmanned aerial vehicle (UAV) over S17 Base, East Antarctica","source":"crossref","abstract":"","url":"https://doi.org/10.1007/s10453-025-09897-3","authors":["Fumihisa Kobayashi"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-01-08T02:53:54Z","doi":"10.1007/s10453-025-09897-3","addedAt":"2026-08-31T06:40:00.495Z","updatedAt":"2026-08-31T06:40:00.495Z"},{"id":"doi:10.1007/978-981-96-9611-6","name":"Secure Communications in Unmanned Aerial Vehicle-Enabled Mobile Edge Computing Systems","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-981-96-9611-6","authors":["Weidang Lu","Yu Ding","Huimei Han","Guanjun Xu"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-10-01T00:06:24Z","doi":"10.1007/978-981-96-9611-6","addedAt":"2026-08-31T06:40:00.495Z","updatedAt":"2026-08-31T06:40:00.495Z"},{"id":"doi:10.1007/978-981-96-9662-8_2","name":"Securing Air-To-Ground Internet of Things with Artificially Intelligent Reconfigurable Surfaces","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-981-96-9662-8_2","authors":["Xin Yuan","Shuyan Hu","Wei Ni","Xin Wang","Abbas Jamalipour"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-05-18T14:15:14Z","doi":"10.1007/978-981-96-9662-8_2","addedAt":"2026-08-31T06:40:00.495Z","updatedAt":"2026-08-31T06:40:00.495Z"},{"id":"doi:10.1109/airc69745.2026.11631328","name":"Unmanned Aerial Vehicle Swarm Placement Optimization for Offshore Wind Farms","source":"crossref","abstract":"","url":"https://doi.org/10.1109/airc69745.2026.11631328","authors":["Hayder Al-Husseinawi","Mien Van","Seán McLoone"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-08-06T19:15:23Z","doi":"10.1109/airc69745.2026.11631328","addedAt":"2026-08-31T06:40:00.495Z","updatedAt":"2026-08-31T06:40:00.495Z"},{"id":"doi:10.1007/978-981-96-9662-8_5","name":"Secrecy Analysis of UAV-Assisted RIS-Enhanced Uplink NOMA Systems","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-981-96-9662-8_5","authors":["Khawaja Muhammad Hamza","Sarah Basharat","Haejoon Jung","Mikael Gidlund","Syed Ali Hassan"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-05-18T14:15:20Z","doi":"10.1007/978-981-96-9662-8_5","addedAt":"2026-08-31T06:40:00.495Z","updatedAt":"2026-08-31T06:40:00.495Z"},{"id":"doi:10.24144/2788-6018.2026.02.3.16","name":"Unmanned aerial vehicle as a special technical and forensic tool","source":"crossref","abstract":"The article provides a comprehensive overview of unmanned aerial vehicles as a special technical and forensic tool. The relevance of the topic is due to the fact that there are no unified approaches to the basic concepts in the field under consideration in science. This complicates the formation of a legal basis for the development of unmanned aerial vehicles and their active and effective use as a forensic tool for investigating criminal offenses. The object of the study is the social relations that arise in the process of legal regulation of the use of unmanned aerial vehicles. The subject is legal norms in the field of unmanned aerial vehicle use. The study is based on a dialectical approach using formal-logical, sociological, systemic, comparative, and other general scientific and specific methods of cognition. It is noted that forensic means are a complex of technical means, recommendations, techniques, and methods developed by forensic science to combat crime, consisting of technical-forensic, tactical-forensic, and methodological-forensic means. With the help of an unmanned aerial vehicle as a forensic tool, it becomes possible to record the circumstances of the event under investigation and detect traces of a criminal offense. Given the potentially high degree of public danger posed by the use of unmanned aerial vehicles for illegal purposes, it is necessary to move from a recommendatory to an imperative method of legal regulation by establishing additional prohibitions and restrictions on the use of this type of unmanned transport. The introduction of the latest technical forensic tools into operational-search, investigative, and expert activities and their active use can provide invaluable assistance in the detection, investigation, and prevention of criminal offenses, and the selection of fundamentally new technical and forensic means, devices, equipment, and their use allows crimes to be solved not only in the shortest possible time «hot on the trail», but also crimes from «past years».","url":"https://doi.org/10.24144/2788-6018.2026.02.3.16","authors":["Yu. O. Lisitsyna","I. R. Serkevych"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-04-29T08:00:02Z","doi":"10.24144/2788-6018.2026.02.3.16","addedAt":"2026-08-31T06:40:00.495Z","updatedAt":"2026-08-31T06:40:00.495Z"},{"id":"doi:10.2139/ssrn.6559640","name":"Dual-biomimetic conceptual design of a Blended Wing Body Unmanned Aerial Vehicle inspired by eagle and manta ray","source":"crossref","abstract":"Blended-wing-body (BWB) unmanned aerial vehicles (UAVs) are attractive for regional logistics because of their high aerodynamic efficiency and internal volume, yet practical concepts are often limited by coupled low-speed stall/trim constraints and weak directional stability in tailless layouts. This work proposes a mission-driven dual-biomimetic conceptual design framework for a 200-kg-class BWB cargo UAV inspired by manta rays (planform shaping, smooth lifting-body blending and large leading-edge radius morphology) and eagles (spanwise scaling, wingtip, and tail). The biomimetic translation is cast into transferable non-dimensional geometry descriptors, including planform/segmentation ratios, sweep/twist, leading-edge-radius ratio, winglet height ratio, and V-tail volume coefficients. A controlled comparative matrix is evaluated using steady RANS CFD (Spalart–Allmaras) to isolate the incremental effects of wing–body planform shaping, leading-edge-radius strategy, winglets, V-tail integration, and surface smoothing, followed by a twin-engine installation assessment accounting for nacelle external drag. Relative to a conventional-geometry control, the biomimetic planform reduces C_(D,c) by ~11% and increases 〖(C_L/C_D)〗_c by ~13%. Enforcing r_LE/c≥2% increases C_(L,max) by ~7.8% and delays stall by ~1°. Winglets slightly improve induced-drag efficiency but yield negligible net 〖(C_L/C_D)〗_c gain. A compact V-tail reverses adverse directional stability to favorable behavior and reduces cruise trim offset mainly through interference-driven wing–body pressure redistribution. Surface smoothing provides the largest cruise benefit (≈13% lower C_(D,c)), dominated by reduced pressure drag. The resulting configuration satisfies the prescribed mission constraints and yields reusable, non-dimensional design guidelines for BWB UAV conceptual design.","url":"https://doi.org/10.2139/ssrn.6559640","authors":["Yongle Liu","Xiaoquan Yang","Yan Peng","Liyue Wang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-04-11T13:37:06Z","doi":"10.2139/ssrn.6559640","addedAt":"2026-08-31T06:40:00.495Z","updatedAt":"2026-08-31T06:40:00.495Z"},{"id":"doi:10.3390/agriculture16060664","name":"Detection of Floricane Raspberry Shrubs from Unmanned Aerial Vehicle Imagery Using YOLO Models","source":"crossref","abstract":"The present study investigated the detection performance of the YOLOv8s, YOLO11s, and YOLO12s models, implemented within convolutional neural network architectures, for identifying floricane raspberry (Rubus idaeus L.) shrubs using RGB imagery and multispectral data acquired in the near-infrared, red-edge, red, and green spectral bands with a DJI Mavic 3 Multispectral drone. Model training and validation were conducted to evaluate both within-modality detection performance and cross-modality transferability. Under all training scenarios, the YOLO-based detectors reached near-saturated accuracy levels. However, cross-domain assessments demonstrated substantial variability depending on the spectral configuration of the input imagery. Overall, the combination of UAV-based multispectral sensing with convolutional neural network detection frameworks establishes a technological basis for automated shrub monitoring and constitutes a meaningful advancement toward intelligent raspberry production systems. This integration further creates new prospects for the technological development of cultivation practices for this crop within the rapidly evolving landscape of artificial intelligence-driven agriculture.","url":"https://doi.org/10.3390/agriculture16060664","authors":["Magdalena Kapłan","Kamil Buczyński","Zbigniew Jarosz"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-03-16T13:32:07Z","doi":"10.3390/agriculture16060664","addedAt":"2026-08-31T06:40:00.495Z","updatedAt":"2026-08-31T06:40:00.495Z"},{"id":"doi:10.1109/access.2026.3653122","name":"YOLOv11-HNU: Enhanced Unmanned Aerial Vehicle Target Detection Based on Improved YOLOv11","source":"crossref","abstract":"","url":"https://doi.org/10.1109/access.2026.3653122","authors":["Zhipeng Xue","Lingyun Kong","Haiyang Wu"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-01-12T22:02:28Z","doi":"10.1109/access.2026.3653122","addedAt":"2026-08-31T06:40:00.495Z","updatedAt":"2026-08-31T06:40:00.495Z"},{"id":"doi:10.36074/grail-of-science.20.02.2026.117","name":"AUTOMATION OF THE DESIGN OF UNMANNED AERIAL VEHICLE STRUCTURES USING TOPOLOGY OPTIMIZATION AND ARTIFICIAL INTELLIGENCE TECHNOLOGIES","source":"crossref","abstract":"Стрімкий розвиток безпілотних літальних апаратів (БПЛА) суттєво розширив сфери їх застосування – від моніторингу навколишнього середовища і логістики, до комерційних та військових задач. Традиційно проєктування літальних апаратів базується на методі експериментальних випробувань, однак через впровадження нових технологічних засобів і обчислювальних систем підхід до розроблення суттєво змінився.","url":"https://doi.org/10.36074/grail-of-science.20.02.2026.117","authors":["Nazarii Muliak"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-04-10T14:00:35Z","doi":"10.36074/grail-of-science.20.02.2026.117","addedAt":"2026-08-31T06:40:00.495Z","updatedAt":"2026-08-31T06:40:00.495Z"},{"id":"doi:10.3390/drones10030195","name":"GeoRefGS: Towards Georeferenced 3D Gaussian Splatting from Unmanned Aerial Vehicle Platforms","source":"crossref","abstract":"Three-dimensional reconstruction using unmanned aerial vehicle (UAV) platforms has been extensively utilized in various fields. While conventional techniques such as oblique photogrammetry can produce mesh models with geographical references, they often require substantial computational resources. Although recent studies have attempted to incorporate camera pose parameters into the emerging 3D Gaussian Splatting (3DGS), these methods often treat georeferencing as a post-processing step or rely on global bundle adjustment, which may propagate systematic errors and compromise final accuracy. This work integrates georeferencing as an intrinsic constraint during 3DGS training, enabling simultaneous optimization of geographic and photometric accuracy. The core of our approach lies in introducing a similarity transformation matrix T connecting the local model space with the global geographic coordinate system, along with a dedicated geographic loss function. Geographic coordinates are transformed via T before reprojection to compute the loss function. It was demonstrated that GeoRefGS presents a viable solution for efficiently integrating georeferenced information into 3DGS. Indeed, the proposed framework achieves an improvement of approximately 3.31 dB in peak signal-to-noise ratio while maintaining distance errors below 0.054 m, enabling reliable geographically referenced 3D reconstruction in substantially less time compared to conventional photogrammetric approaches.","url":"https://doi.org/10.3390/drones10030195","authors":["Jiahang Hou","Xinsheng Zhang","Hao Li","Siyuan Cui"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-03-11T14:43:18Z","doi":"10.3390/drones10030195","addedAt":"2026-08-31T06:40:00.495Z","updatedAt":"2026-08-31T06:40:00.495Z"},{"id":"doi:10.1063/5.0326126","name":"Numerical study of coupled sidewall–crosswind effects on hovering unmanned aerial vehicle rotors","source":"crossref","abstract":"The aerodynamic stability of unmanned aerial vehicles (UAVs)operating in urban environments is critically challenged by the sidewall effect and crosswind disturbances. This study numerically investigates the unsteady aerodynamic response of a hovering rotor subjected to the influence of a vertical sidewall and crosswind. Under the influence of the sidewall, results indicate that the sidewall induces a distinct asymmetry in lateral aerodynamic characteristics, while the axial thrust and torque remain relatively insensitive to wall proximity. A significant wall-directed lateral aerodynamic response emerges when the non-dimensional wall distance (d/r) falls below 0.6, which is attributed to the premature dissipation of the wall-side tip vortex. The introduction of crosswind (0–20 m/s) at a critical proximity of d/r = 0.2 fundamentally alters the flow field. Increasing crosswind velocity significantly amplifies the unsteady fluctuations of the aerodynamic response, while concurrently reducing the mean torque magnitude. Flow field analysis reveals that this dynamic load response originates from the distinct spanwise asymmetry of the wake evolution. The crosswind and the sidewall drive a lateral deflection of the rotor hub wake and trigger strong mutual induction between tip vortices. The findings of this study offer theoretical insights for ensuring the operational safety and stability of UAVs in urban environments.","url":"https://doi.org/10.1063/5.0326126","authors":["Weikang Tong","Li Xin","Bifeng Yin","Fei Dong"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-04-29T09:49:29Z","doi":"10.1063/5.0326126","addedAt":"2026-08-31T06:40:00.495Z","updatedAt":"2026-08-31T06:40:00.495Z"},{"id":"doi:10.4324/9781003650959-9","name":"Unmanned Aerial Systems, Unmanned Aerial Combat Systems, and Swarm Surveillance","source":"crossref","abstract":"","url":"https://doi.org/10.4324/9781003650959-9","authors":["Ibrahim Kocaman"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-03-24T09:20:51Z","doi":"10.4324/9781003650959-9","addedAt":"2026-08-31T06:40:00.495Z","updatedAt":"2026-08-31T06:40:00.495Z"},{"id":"doi:10.1117/12.3110776","name":"Unmanned aerial vehicle smoke screen generation and dispersion strategy","source":"crossref","abstract":"","url":"https://doi.org/10.1117/12.3110776","authors":["Kexin Hou"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-04-21T06:53:18Z","doi":"10.1117/12.3110776","addedAt":"2026-08-31T06:40:00.495Z","updatedAt":"2026-08-31T06:40:05.993Z"},{"id":"doi:10.1016/c2024-0-02916-5","name":"The Control of Multiple Unmanned Aerial Vehicles","source":"crossref","abstract":"","url":"https://doi.org/10.1016/c2024-0-02916-5","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-12-13T01:49:51Z","doi":"10.1016/c2024-0-02916-5","addedAt":"2026-08-31T06:40:00.495Z","updatedAt":"2026-08-31T06:40:00.495Z"},{"id":"doi:10.1007/978-981-95-3221-6_24","name":"Unmanned Aerial Vehicle: Technological Development and Its Applications","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-981-95-3221-6_24","authors":["Chirag Gupta","Sanjay Pandit","Ramani Kumar Das","Shashi Bhusan Nayak"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-02-17T15:45:13Z","doi":"10.1007/978-981-95-3221-6_24","addedAt":"2026-08-31T06:40:00.495Z","updatedAt":"2026-08-31T06:40:00.495Z"},{"id":"doi:10.59849/3006-1318.2026.1.71","name":"Multisynergic application of fractal-mathematical models and unmanned aerial vehicle systems in agro-ecosystem management","source":"crossref","abstract":"","url":"https://doi.org/10.59849/3006-1318.2026.1.71","authors":["A.Z. Abbasova"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-04-28T11:11:45Z","doi":"10.59849/3006-1318.2026.1.71","addedAt":"2026-08-31T06:40:00.495Z","updatedAt":"2026-08-31T06:40:00.495Z"},{"id":"doi:10.1142/s2301385026500147","name":"Unmanned Aerial Vehicle Trajectory Planning Technology Based on Improved ACO Fusion Algorithm","source":"crossref","abstract":"With the advancement of contemporary science and technology, artificial intelligence has become a common practice across numerous industries, with unmanned aerial vehicles (UAVs) serving as its primary component. However, the current unmanned aerial vehicle trajectory planning is mostly limited to a single algorithm or a two-dimensional environment, with limited planning capability in a three-dimensional environment. Therefore, the study is to improve the ant colony algorithm and the artificial potential field method, respectively, and to combine the two improved algorithms to propose a fusion model, according to which the improved UAV trajectory planning (UAV-TP) system is designed. The outcomes indicated that the fusion model had the optimal mean and standard deviation on three different types of benchmark test functions, and possessed the best adaptability and stability. Applying the fusion algorithm to the experiments of the UAV-TP system, its optimal path in a simple 2D grid environment passed through 38 grids, produced 16 inflection points, 0 unsafe points, and searched for the optimal path at the 13th iteration. The average trajectory length in 20 experiments in a complex 3D environment was 27.59[Formula: see text]km, which was 28.43% and 16.21% lower than the rest of the comparison algorithms, respectively, and the average number of corners was seven. The outcomes reveal that the fusion algorithm proposed by the institute performs well in both trajectory planning and safe navigation, and can realize efficient navigation in three-dimensional complex environments.","url":"https://doi.org/10.1142/s2301385026500147","authors":["Hao Chen","Lankang Zhu","Fa Wang","Yue Yao","Wei Han"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-02-12T02:20:31Z","doi":"10.1142/s2301385026500147","addedAt":"2026-08-31T06:40:00.495Z","updatedAt":"2026-08-31T06:40:05.993Z"},{"id":"doi:10.1109/iscait69154.2026.11477214","name":"YOLOv10-DFP: An Improved Model for Small Target Detection in Unmanned Aerial Vehicle Images","source":"crossref","abstract":"","url":"https://doi.org/10.1109/iscait69154.2026.11477214","authors":["Kefeng Li","Shixian Zhao"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-04-20T20:01:42Z","doi":"10.1109/iscait69154.2026.11477214","addedAt":"2026-08-31T06:40:00.495Z","updatedAt":"2026-08-31T06:40:00.495Z"},{"id":"doi:10.1109/icaisisas68969.2026.11567738","name":"Unmanned aerial vehicle failure decision based on Colored Petri Net","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icaisisas68969.2026.11567738","authors":["Bai Lisha"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-06-24T19:47:41Z","doi":"10.1109/icaisisas68969.2026.11567738","addedAt":"2026-08-31T06:40:00.495Z","updatedAt":"2026-08-31T06:40:00.495Z"},{"id":"doi:10.4271/2026-99-1866","name":"Research on Unmanned Aerial Vehicle Fault Detection Method Based on 1DCNN-BiLSTM","source":"crossref","abstract":"&lt;div class=\"section abstract\"&gt;&lt;div class=\"htmlview paragraph\"&gt;In recent years, drone technology has seen widespread application in both civilian and military fields. By 2025, China will introduce supportive policies from multiple dimensions, including industrial development, technological innovation, and application promotion, to significantly increase the number of UAVs in use and their frequency. However, drones are prone to malfunctions due to factors such as bad weather and electromagnetic interference, which may result in serious consequences, including property damage and casualties. Therefore, improving the accuracy of fault detection and the response time of drones is of great significance. Although current research has made progress, there are still deficiencies: First, most of them rely on a single or limited data source, resulting in incomplete information and vulnerability to interference, which leads to low detection accuracy and reliability; Second, traditional methods are mostly based on fixed thresholds or simple rules, lacking real-time dynamic monitoring and adaptive analysis capabilities, making it difficult to issue timely warnings of potential faults. To this end, this study proposes a multi-scale time series prediction model based on multimodal and multi-branch, integrating multimodal data, constructing a dual-branch architecture, and combining deep learning and attention mechanisms to enhance the anomaly detection effect of unmanned aerial vehicles. A dual-branch anomaly detection model based on 1DCNN-BiLSTM and continuous wavelet transform is proposed, including a trajectory prediction difference branch and a full time series data branch. In the dual-branch output stage, the attention gating mechanism is utilized to fuse features and improve the detection performance. The experimental results show that this model performs excellently in both normal trajectory prediction and anomaly detection, providing an effective solution for drone anomaly detection.&lt;/div&gt;&lt;/div&gt;","url":"https://doi.org/10.4271/2026-99-1866","authors":["Zhenglin Pu","Lin Zhang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-07-17T00:16:17Z","doi":"10.4271/2026-99-1866","addedAt":"2026-08-31T06:40:00.495Z","updatedAt":"2026-08-31T06:40:00.495Z"},{"id":"doi:10.1016/j.eij.2026.100941","name":"Improved plant leaf disease detection architecture using unmanned aerial vehicle images and hybrid YOLOv11","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.eij.2026.100941","authors":["Meroua Belmir","Wafa Difallah","Abdelkader Ghazli"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-03-24T21:40:08Z","doi":"10.1016/j.eij.2026.100941","addedAt":"2026-08-31T06:40:00.495Z","updatedAt":"2026-08-31T06:40:00.495Z"},{"id":"doi:10.1109/smartindustrycon68821.2026.11493043","name":"Adaptive Magnetometer Calibration for Accurate Heading Estimation in Unmanned Aerial Vehicle Navigation in a Varying Magnetic Environment","source":"crossref","abstract":"","url":"https://doi.org/10.1109/smartindustrycon68821.2026.11493043","authors":["Nikita Nosov","Mikhail Budko","Alexei Guirik"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-04-27T19:47:39Z","doi":"10.1109/smartindustrycon68821.2026.11493043","addedAt":"2026-08-31T06:40:00.495Z","updatedAt":"2026-08-31T06:40:00.495Z"},{"id":"doi:10.1109/icecet65726.2026.11632665","name":"Distributed Neuro-Adaptive Formation Tracking Control of Multi-Agent Unmanned Aerial Vehicle*","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icecet65726.2026.11632665","authors":["Abdulrahman Aliyu","Taiba Kouser","Luai M. Alhems"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-08-12T19:20:29Z","doi":"10.1109/icecet65726.2026.11632665","addedAt":"2026-08-31T06:40:00.495Z","updatedAt":"2026-08-31T06:40:00.495Z"},{"id":"doi:10.3390/app16094510","name":"DOL-DETR: An Efficient Small Object Detection Algorithm for Unmanned Aerial Vehicle Remote Sensing","source":"crossref","abstract":"Object detection in Unmanned Aerial Vehicle (UAV) imagery faces severe challenges, including small target scales, dense spatial distributions, and complex backgrounds. To address the feature attenuation and noise interference inherent in existing deep learning models, this paper proposes DOL-DETR, an efficient small object detection algorithm based on the Real-Time DEtection TRansformer (RT-DETR) architecture. Our model introduces three key innovations. First, the DAttention-based Intra-scale Feature Interaction (DAIFI) module reconstructs intra-scale feature interactions using deformable attention to focus on salient regions with linear complexity. Second, the Omni-Modulated Feature Fusion (OMFF) mechanism adaptively captures multi-scale features and dynamically suppresses background noise. Finally, Linear De-redundancy Convolution (LDConv) replaces standard downsampling to dynamically adapt to object deformations. While introducing a complex dynamic resampling mechanism, it strategically optimizes parameter allocation, significantly enhancing localization precision without introducing excessive computational overhead. Extensive experiments on the VisDrone2019 benchmark demonstrate that DOL-DETR achieves an mAP@0.5 of 52.4% (a 4.2% improvement over the baseline) while maintaining a real-time inference speed of 120.1 FPS with only 20.1M parameters. Furthermore, generalization experiments on the large-scale DOTA dataset yield a 76.1% mAP@0.5, outperforming the baseline by 3.8%. These results indicate that DOL-DETR provides a better trade-off between detection accuracy, inference efficiency, and cross-domain generalization in UAV remote sensing scenarios.","url":"https://doi.org/10.3390/app16094510","authors":["Shanle Chen","Zhipeng Li"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-05-04T02:06:21Z","doi":"10.3390/app16094510","addedAt":"2026-08-31T06:40:00.495Z","updatedAt":"2026-08-31T06:40:00.495Z"},{"id":"doi:10.36001/phme.2026.v9i1.4941","name":"Classification and Assessment of Propeller Faults in Electric Unmanned Aerial Vehicle Drive Trains","source":"crossref","abstract":"Propellers are critical to the safe operation of multicopter unmanned aerial vehicles (UAVs), as faults can decrease the efficiency of the propulsion system and affect flight performance. Depending on the type and extent of the fault, the effects can range from a slight reduction in performance to a significant loss of thrust that could compromise safety. Because of the limited amount of sensor data available on board a UAV, propeller damage cannot be measured directly. Therefore, a data-based prediction using available sensors is required. This paper focuses on establishing and predicting a health index for damaged propellers.A test bench is used to investigate the effects of two different types of damage: broken propeller tips and notches at the leading edge. Each type of damage is examined at three levels of severity. Based on sensor data collected from the test bench, a health index is defined to characterize the remaining performance of the damaged propellers. A two-stage approach for the data-based health prediction is implemented by first classifying the type of the propeller faults, and then employing a random forest regressor to estimate the remaining health.","url":"https://doi.org/10.36001/phme.2026.v9i1.4941","authors":["Immo Schmidt"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-07-27T01:05:35Z","doi":"10.36001/phme.2026.v9i1.4941","addedAt":"2026-08-31T06:40:00.495Z","updatedAt":"2026-08-31T06:40:00.495Z"},{"id":"doi:10.1007/978-981-95-7668-5_46","name":"Research on Anti-submarine Mode of Unmanned Aerial Vehicle Sonar Buoys","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-981-95-7668-5_46","authors":["Xubo Liu","Xuan Nian","Shuxin Wang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-06-27T07:14:31Z","doi":"10.1007/978-981-95-7668-5_46","addedAt":"2026-08-31T06:40:00.495Z","updatedAt":"2026-08-31T06:40:00.495Z"},{"id":"doi:10.2139/ssrn.6466458","name":"Multi-Agent Reinforcement Learning for Unmanned Aerial Vehicle-Based Chemical Plume Source Localization","source":"crossref","abstract":"Undocumented orphaned wells pose significant health and environmental risks to nearby communities by releasing toxic gases and contaminating water sources, with methane emissions being a primary concern. Traditional survey methods such as magnetometry often fail to detect older wells effectively. In contrast, aerial in-situ sensing using unmanned aerial vehicles (UAVs) offers a promising alternative for methane emission detection and source localization. This study presents a robust and efficient framework based on a multi-agent deep reinforcement learning (MARL) algorithm for the chemical plume source localization (CPSL) problem. The proposed approach leverages virtual anchor nodes to coordinate UAV navigation, enabling collaborative sensing of gas concentrations and wind velocities through onboard and shared measurements. Source identification is achieved by analyzing the historical trajectory of anchor node placements within the plume. Comparative evaluations against the fluxotaxis method demonstrate that the MARL framework achieves superior performance in both localization accuracy and operational efficiency.","url":"https://doi.org/10.2139/ssrn.6466458","authors":["Zhirun Li","Derek Hollenbeck","Ruikun Wu","Michelle Sherman","Sihua Shao","Xiang Sun","Mostafa Hassanalian"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-03-26T10:49:51Z","doi":"10.2139/ssrn.6466458","addedAt":"2026-08-31T06:40:00.495Z","updatedAt":"2026-08-31T06:40:00.495Z"},{"id":"doi:10.30919/es2211","name":"Preference-Based Multi-Agent Collision Avoidance for Unmanned Aerial Vehicle Swarms with Multi-Objective Optimization","source":"crossref","abstract":"","url":"https://doi.org/10.30919/es2211","authors":["Yulong Cao","Guhao Zhao","Hao Wang","Guangming Lai"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-04-28T09:48:08Z","doi":"10.30919/es2211","addedAt":"2026-08-31T06:40:00.495Z","updatedAt":"2026-08-31T06:40:00.495Z"},{"id":"doi:10.1115/1.4070721","name":"Optimized Multi-Unmanned Aerial Vehicle Coverage Path Planning for Efficient Solar Panel Cleaning: A Rectilinear and Vehicle Routing Problem-Based Approach","source":"crossref","abstract":"Abstract This study proposes a novel methodology for efficient multi-unmanned aerial vehicle (UAV) coverage path planning (CPP) tailored to solar panel cleaning applications. The approach incorporates rectilinear path planning and vehicle routing problem (VRP) strategies, enabling optimized and coordinated multi-UAV operations for large-scale solar farms. By systematically dividing the target area into rows and assigning optimized routes to UAVs, the methodology minimizes mission time and maximizes cleaning efficiency. The proposed CPP approach integrates realistic constraints such as UAV battery life, flight time, and operator limitations, ensuring practicality and robustness. Comprehensive evaluations, including simulations using the Gazebo platform and real-world tests with UAVs, validate the effectiveness of the methodology. The results demonstrate significant improvements in path optimization, energy efficiency, and area coverage, confirming its applicability to solar panel maintenance and other large-scale coverage tasks.","url":"https://doi.org/10.1115/1.4070721","authors":["Matin Ghaziani","Ulas Yaman","Ali Emre Turgut"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-12-20T11:07:54Z","doi":"10.1115/1.4070721","addedAt":"2026-08-31T06:40:00.495Z","updatedAt":"2026-08-31T06:40:00.495Z"},{"id":"doi:10.1109/gpecom70462.2026.11578930","name":"Robust Tracking Control of a Dual-rotor Unmanned Aerial Vehicle under Translational and Attitude Motion Dynamics Uncertainties","source":"crossref","abstract":"","url":"https://doi.org/10.1109/gpecom70462.2026.11578930","authors":["Hamed Nademi","Anthony Nicklo"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-07-02T19:41:30Z","doi":"10.1109/gpecom70462.2026.11578930","addedAt":"2026-08-31T06:40:00.495Z","updatedAt":"2026-08-31T06:40:00.495Z"},{"id":"doi:10.1109/icccs69761.2026.11613297","name":"LP-SAC: A Temporal Reinforcement Learning Optimization Framework for Unmanned Aerial Vehicle Task Offloading","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icccs69761.2026.11613297","authors":["Qian Zhang","Yuan Sun","Zhibin Liu"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-07-28T19:05:14Z","doi":"10.1109/icccs69761.2026.11613297","addedAt":"2026-08-31T06:40:00.495Z","updatedAt":"2026-08-31T06:40:00.495Z"},{"id":"doi:10.28925/2663-4023.2026.32.1208","name":"A FORMALIZED MODEL FOR ASSESSING THE DEPENDABILITY OF UNMANNED AERIAL VEHICLE CONTROL SYSTEMS BASED ON MULTI-CRITERIA OPTIMIZATION","source":"crossref","abstract":"The intensive deployment of unmanned aerial vehicles in military, civilian, monitoring, and logistics applications increases the requirements for resilience and operational continuity of their control systems. Such systems represent distributed cyber-physical structures that integrate telemetry subsystems, communication channels, data processing modules, decision-making algorithms, and flight control actuators. Under real operating conditions, they are exposed to stochastic failures, communication degradation, software faults, computational resource constraints, and targeted information attacks, which complicates the assurance of dependability. The aim of this study is to develop a formalized integrated model for evaluating the dependability of UAV control systems that harmonizes heterogeneous operational criteria and enables multi-criteria configuration selection under temporal and resource constraints. The model is implemented as a formalized computational framework that includes state vector formation, indicator normalization, weighted aggregation, constraint verification, and decision-making regarding configuration admissibility. An algorithm for computing the integrated dependability indicator with linear complexity relative to the number of system modules and considered risk factors is developed, ensuring the suitability of the approach for embedded and edge computing in real-time systems. A sensitivity analysis method is proposed to identify critical degradation factors. Scenario-based validation is conducted for typical operational modes, including nominal operation, communication degradation, increased cyber risk, and their combined impact. The results confirm the adequacy of the model and its practical applicability for monitoring and adaptive reconfiguration of UAV control systems.","url":"https://doi.org/10.28925/2663-4023.2026.32.1208","authors":["Mykola Kucheriavyi","Hennadii Hulak"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-04-01T08:13:15Z","doi":"10.28925/2663-4023.2026.32.1208","addedAt":"2026-08-31T06:40:00.495Z","updatedAt":"2026-08-31T06:40:00.495Z"},{"id":"doi:10.18372/1990-5548.88.20979","name":"Modal Control of Unmanned Aerial Vehicle Roll Angle","source":"crossref","abstract":"The article deals with the problem of automatic control of the roll angle of an unmanned aerial vehicle. Based on the complete mathematical model of the unmanned aerial vehicle and modal control methods, two variants of the automatic control system are considered: an autopilot implemented as a closed-loop feedback system and a system with an observer device. The controllability and observability conditions of the system are analyzed, and the autopilot equation with a structure corresponding to a PID controller is obtained. Numerical simulation results are presented in the form of time dependences of the roll angle, roll rate, and aileron deflection angle for different natural frequencies. Analytical verification confirms the steady-state value of the roll angle obtained by simulation. The parameters of the autopilot for different transient processes are determined. The roots of the characteristic equations for the binomial and Butterworth standard forms are calculated, and analytical expressions for the gain matrix of the Luenberger observer are obtained. The results show that the use of an observer device significantly changes the transient response of the system. The proposed approach based on modal control methods can be applied not only to roll control but also to the design of automatic control systems for pitch and yaw angles of unmanned aerial vehicles and other aircraft.","url":"https://doi.org/10.18372/1990-5548.88.20979","authors":["Vadym Avrutov","Oleksii Hehelskyi","Viacheslav Tsisarzh","Olha Pazdrii","Maksym Khutko"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-04-22T12:23:18Z","doi":"10.18372/1990-5548.88.20979","addedAt":"2026-08-31T06:40:00.495Z","updatedAt":"2026-08-31T06:40:00.495Z"},{"id":"doi:10.2139/ssrn.6949957","name":"Integrating Unmanned Aerial Vehicle Data and Machine Learning for Spatial Blue Carbon Sequestration Analysis in Seagrass Beds","source":"crossref","abstract":"Seagrass ecosystems play a critical role in shallow coastal environments by supporting biodiversity, stabilizing sediments, and functioning as blue carbon sinks. However, conventional field surveys are limited in spatial coverage and efficiency, whereas satellite imagery often lacks sufficient spatial resolution for detailed seagrass mapping in shallow waters. Although Unmanned Aerial Vehicles (UAVs) have been increasingly used for seagrass monitoring, most studies have primarily focused on spatial distribution without integrating ecological conditions and biomass assessment. This study aimed to evaluate benthic habitat distribution, seagrass species composition, community structure, and biomass using high-resolution UAV imagery integrated with Random Forest (RF) classification and field-based georeferenced photo-transect surveys in Prawean Beach, Jepara. High-resolution RGB imagery acquired under low-tide conditions was used to classify benthic habitats and seagrass species. Classification accuracy was validated through field observations, and ecological parameters, including cover, density, diversity, and biomass, were quantified. The results identified three dominant benthic habitats: sand substrates (144,684 m²), seagrass beds (20,962 m²), and coral rubble (13,194 m²). Benthic habitat classification achieved high accuracy (overall accuracy = 96.6%; kappa = 95%), whereas seagrass species classification reached 90% accuracy (kappa = 0.875). Five seagrass species were identified, with Oceana serrulata dominating the spatial distribution and Thalassia hemprichii contributing the highest biomass. The total seagrass cover, density, and biomass were 50.69%, 81.67 ind/m², and 189.03 g/m², respectively. These findings demonstrate the effectiveness of UAV-based RF classification for detailed seagrass assessment and preliminary blue carbon evaluation in shallow tropical coastal ecosystems.","url":"https://doi.org/10.2139/ssrn.6949957","authors":["Sigit Febrianto","Dania  Wahyu Riftiyani","Agus Hartoko","Anindya Wirasatriya","Sigit Sasmito"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-06-16T08:55:03Z","doi":"10.2139/ssrn.6949957","addedAt":"2026-08-31T06:40:00.495Z","updatedAt":"2026-08-31T06:40:00.495Z"},{"id":"doi:10.3390/drones10050342","name":"Intelligent Unmanned Aerial Vehicle Swarm Control Under Electronic Warfare: A Cognitive–Intent Dual-Stream Reinforcement Learning Framework","source":"crossref","abstract":"Multi-unmanned aerial vehicle (UAV) platforms integrate radio-frequency (RF) sensing, datalinks, and onboard embedded compute; adversarial electronic warfare (EW) degrades these subsystems through jamming and forces decentralized control policies to act on fragmented observations—a setting aligned with intelligent electronic systems and autonomous robotics in contested spectrum. Cooperative swarms then face two compounding failure modes: loss of coherent situational awareness, and reward-driven passive survival that suppresses mission completion. Memory-based multi-agent reinforcement learning (MARL) partially addresses the first but tends to reinforce the second; dense intent shaping addresses the second but becomes unreliable when observations are incomplete. We propose CIDA (Cognitive–Intent Dual-Stream Architecture), a reinforcement learning framework that decouples belief reconstruction from tactical intent at the representation level while coupling them through a unified actor–critic update. The cognitive stream encodes a 64-step observation history with a pre-normalized Transformer to reconstruct threat belief; the intent stream supplies a hierarchical potential field (reconnaissance, threat-weighted engagement, and approach incentives). A steady-state training mechanism (dynamic reward scaling and adaptive gradient clipping) stabilizes Transformer-based on-policy learning under non-stationary multi-agent dynamics. In a complex terrain scenario with SAM, AAA, and jammer assets, CIDA reaches 96.15% task success versus 12.21% (memoryless PPO) and 25.28% (MAPPO+RNN), with ablations showing nonlinear coupling and emergent tactics such as jammer bypass and weak-sector traversal. Results are robust to a four-fold sweep of the intent-shaping weight (above 90% success).","url":"https://doi.org/10.3390/drones10050342","authors":["Yang Chen","Jinglong Niu"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-05-04T01:12:09Z","doi":"10.3390/drones10050342","addedAt":"2026-08-31T06:40:00.495Z","updatedAt":"2026-08-31T06:40:00.495Z"},{"id":"doi:10.1590/01047760202632013690","name":"Monitoring soil deformation during a skidding operation using unmanned aerial vehicle derived data","source":"crossref","abstract":"ABSTRACT Background: In recent years, mechanized logging equipment has become more frequently used in topographically suitable and intensively managed forest areas. However, the rut depths caused by this logging equipment can cause serious deformation problems in the forest soil. In this study, the physical impacts of a skidder on forest soil were evaluated using Unmanned Aerial Vehicle (UAV) based digital imagery. The research was conducted in the Saros Forest Enterprise Chief located in the city of Çanakkale in Türkiye, where rut depth formations were comparatively analyzed using manual ruler method and UAV data. Rut depths were determined for two slope classes (0-20% and 20-50%) and during the fifth, tenth, and fifteenth turns of the skidder. Results: The results indicated that the rut depths calculated from UAV imagery were highly consistent with those obtained from manual measurements. It was observed that rut depths were greater on steeper slopes (20-50%) and increased with the number of turns. In addition, bulk density and hygroscopic moisture tended to increase in low-slope areas while decreasing in steep slopes. Conclusion: The UAV-based method provides a quick and reliable approach for monitoring soil deformation caused by a skidder during logging operations. This UAV-based method can help predict the environmental impacts of logging equipment and support more sustainable timber extraction planning. Moreover, the proposed methodology can be applied to evaluate the physical effects of other mechanized logging equipment on forest soil.","url":"https://doi.org/10.1590/01047760202632013690","authors":["Abdullah E. Akay","İnanç Taş","Teslime Nazilli"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-08-10T12:44:11Z","doi":"10.1590/01047760202632013690","addedAt":"2026-08-31T06:40:00.495Z","updatedAt":"2026-08-31T06:40:00.495Z"},{"id":"doi:10.5281/zenodo.17486134","name":"A Multi-Modal Benchmark Dataset for UAV Wireless Communication Research","source":"datacite","abstract":"A Multi-Modal Benchmark Dataset for UAV Wireless Communication Research https://www.mdpi.com/2504-446X/10/4/244 Abstract Data-centric approaches are increasingly shaping wireless communication research, where the availability and quality of datasets directly influence the reliability of learning-based and model-driven methods. In this context, unmanned aerial vehicle (UAV) communication poses unique challenges, as it requires datasets that jointly capture geometric information, propagation conditions, and diverse link configurations. This work introduces a geometry-aware UAV communication dataset designed to support research on controlled UAV communication link directions and propagation scenarios. The dataset is generated using standardized 3GPP and ITU-R channel models across multiple urban, suburban, and rural regions, accounting for variations in altitude, carrier frequency, and node distribution. The dataset provides spatially resolved channel parameters along with geometry-rich files containing environmental features, which can be used to extract relevant parameters for UAV communication studies. These data support reproducible research in geometry-aware channel modelling, path-loss prediction, LOS/NLOS analysis, delay-related modelling, and trajectory-conditioned link-quality analysis. MDPI and ACS Style Alibabaie, N.; Calabrò, A.; Marchetti, E. A Multi-Modal Benchmark Dataset for UAV Wireless Communication Research. Drones 2026, 10, 244. https://doi.org/10.3390/drones10040244 AMA Style Alibabaie N, Calabrò A, Marchetti E. A Multi-Modal Benchmark Dataset for UAV Wireless Communication Research. Drones. 2026; 10(4):244. https://doi.org/10.3390/drones10040244 Chicago/Turabian Style Alibabaie, Najmeh, Antonello Calabrò, and Eda Marchetti. 2026. \"A Multi-Modal Benchmark Dataset for UAV Wireless Communication Research\" Drones 10, no. 4: 244. https://doi.org/10.3390/drones10040244 APA Style Alibabaie, N., Calabrò, A., & Marchetti, E. (2026). A Multi-Modal Benchmark Dataset for UAV Wireless Communication Research. Drones, 10(4), 244. https://doi.org/10.3390/drones10040244","url":"https://doi.org/10.5281/zenodo.17486134","authors":["Alibabaie, Najmeh","Calabrò, Antonello","Marchetti, Eda"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.17486134","addedAt":"2026-08-31T06:40:00.496Z","updatedAt":"2026-08-31T06:40:00.496Z"},{"id":"doi:10.5281/zenodo.17486133","name":"A Multi-Modal Benchmark Dataset for UAV Wireless Communication Research","source":"datacite","abstract":"A Multi-Modal Benchmark Dataset for UAV Wireless Communication Research https://www.mdpi.com/2504-446X/10/4/244 Abstract Data-centric approaches are increasingly shaping wireless communication research, where the availability and quality of datasets directly influence the reliability of learning-based and model-driven methods. In this context, unmanned aerial vehicle (UAV) communication poses unique challenges, as it requires datasets that jointly capture geometric information, propagation conditions, and diverse link configurations. This work introduces a geometry-aware UAV communication dataset designed to support research on controlled UAV communication link directions and propagation scenarios. The dataset is generated using standardized 3GPP and ITU-R channel models across multiple urban, suburban, and rural regions, accounting for variations in altitude, carrier frequency, and node distribution. The dataset provides spatially resolved channel parameters along with geometry-rich files containing environmental features, which can be used to extract relevant parameters for UAV communication studies. These data support reproducible research in geometry-aware channel modelling, path-loss prediction, LOS/NLOS analysis, delay-related modelling, and trajectory-conditioned link-quality analysis. MDPI and ACS Style Alibabaie, N.; Calabrò, A.; Marchetti, E. A Multi-Modal Benchmark Dataset for UAV Wireless Communication Research. Drones 2026, 10, 244. https://doi.org/10.3390/drones10040244 AMA Style Alibabaie N, Calabrò A, Marchetti E. A Multi-Modal Benchmark Dataset for UAV Wireless Communication Research. Drones. 2026; 10(4):244. https://doi.org/10.3390/drones10040244 Chicago/Turabian Style Alibabaie, Najmeh, Antonello Calabrò, and Eda Marchetti. 2026. \"A Multi-Modal Benchmark Dataset for UAV Wireless Communication Research\" Drones 10, no. 4: 244. https://doi.org/10.3390/drones10040244 APA Style Alibabaie, N., Calabrò, A., & Marchetti, E. (2026). A Multi-Modal Benchmark Dataset for UAV Wireless Communication Research. Drones, 10(4), 244. https://doi.org/10.3390/drones10040244","url":"https://doi.org/10.5281/zenodo.17486133","authors":["Alibabaie, Najmeh","Calabrò, Antonello","Marchetti, Eda"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.17486133","addedAt":"2026-08-31T06:40:00.496Z","updatedAt":"2026-08-31T06:40:00.496Z"},{"id":"doi:10.5281/zenodo.20341802","name":"LoRaIQ: Experimental LoRa Dataset with Annotated IQ Samples","source":"datacite","abstract":"Summary This dataset contains more than 30,000 LoRa frames recorded within and around the EPFL campus in Lausanne, Switzerland. Each frame was captured by an average of 3.75 receivers using four remote radio heads (RRHs) installed on campus rooftops. Each dataset entry provides the information required for synchronization, demodulation, and decoding of a single LoRa frame. Every frame is accompanied by an IQ sample file following the standard SigMF specification [1], together with its corresponding metadata and annotations. The dataset includes both UAV-based and pedestrian measurements. For the UAV-based measurements, the start-of-frame location in the IQ samples is provided with sub-sample accuracy. For the pedestrian measurements, the provided frame start locations should be interpreted as indicative estimates. Dataset Details Recordings were captured by four RRHs deployed at the locations shown in Fig. 2 and indicated in rrh_locations.md. Each RRH consists of a USRP-2920, a Raspberry Pi 5, and a Quectel L80 GPS receiver. This deployment captures a wide range of propagation scenarios across the EPFL campus, including variations in receiver elevation, line-of-sight conditions, and urban obstructions. The dataset includes transmissions from both an unmanned aerial vehicle (UAV) and a pedestrian-carried transmitter, with transmitter velocities ranging from 0 to 5.6 m/s. Measurements are labelled according to the different area types illustrated in Fig. 2. Line-of-sight (LoS): UAV Areas 1 and 2 Non-line-of-sight (NLoS): UAV Areas 3 and 4; Pedestrian Areas 2 and 3 Partial LoS: Pedestrian Area 1, Roaming Indoor: Pedestrian Area 4 The transmitter parameters used during data collection are summarized below: Frequency 862.5 MHz Spreading Factor 7 | 10 Coding Rate 4/5 Bandwidth 125 | 250 kHz Tx Power 14 dBm Payload Length 7 | 19 B Note: Boldface values indicate the parameters used for the UAV-mounted transmitter. In addition to the synchronization parameters required for demodulation, such as carrier frequency offset, reception timestamp, and LoRa PHY parameters, each frame also includes the transmit location, transmit payload, and an SNR estimate. Dataset Entry All the keys of the dataset.csv is indicated below and Fig. 2 illustrates the spectrogram of one received frame opened with Inspectrum [2], showing the LoRa chirps with annotations. transmission_idx rrh_idx rx_sample_rate bandwidth sf cr fc payload_base64 cfo snr rx_timestamp_full rx_timestamp_frac area area_type name latitude longitude target_velocity velocity sigmf_file sigmf_file_start_time_full sigmf_file_start_time_frac sigmf_file_offset sigmf_file_n_samples File Structure dataset.csv (Dataset with all frame descriptions) load_and_plot_samples.py (Exemple to load IQ samples) rrh_locations.md (GPS positions of the four remote radio heads) zenodo_description_fig.png (An illustration shown on Zenodo description page) sigmfs (Folder containing the raw IQ samples) RRH1 1.sigmf-data 1.sigmf-meta 2.sigmf-data 2.sigmf-meta ... ... RRH4 1.sigmf-data 1.sigmf-meta 2.sigmf-data ... .... Contact For any questions related to this dataset, please contact joachim.tapparel@epfl.ch. References [1] \"SigMF specification,'' Accessed: May 19, 2026. [Online]. Available: https://sigmf.org/ [2] \"Inspectrum\", Accessed: May 19, 2026. [Online]. Available: https://github.com/miek/inspectrum","url":"https://doi.org/10.5281/zenodo.20341802","authors":["Tapparel, Joachim","Burg, Andreas"],"tags":["LoRa","IQ samples","C-RAN","UAV"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.20341802","addedAt":"2026-08-31T06:40:00.496Z","updatedAt":"2026-08-31T06:40:00.496Z"},{"id":"doi:10.5281/zenodo.17708396","name":"LoRaIQ: Experimental LoRa Dataset with Annotated IQ Samples","source":"datacite","abstract":"Summary This dataset contains more than 30,000 LoRa frames recorded within and around the EPFL campus in Lausanne, Switzerland. Each frame was captured by an average of 3.75 receivers using four remote radio heads (RRHs) installed on campus rooftops. Each dataset entry provides the information required for synchronization, demodulation, and decoding of a single LoRa frame. Every frame is accompanied by an IQ sample file following the standard SigMF specification [1], together with its corresponding metadata and annotations. The dataset includes both UAV-based and pedestrian measurements. For the UAV-based measurements, the start-of-frame location in the IQ samples is provided with sub-sample accuracy. For the pedestrian measurements, the provided frame start locations should be interpreted as indicative estimates. Dataset Details Recordings were captured by four RRHs deployed at the locations shown in Fig. 2 and indicated in rrh_locations.md. Each RRH consists of a USRP-2920, a Raspberry Pi 5, and a Quectel L80 GPS receiver. This deployment captures a wide range of propagation scenarios across the EPFL campus, including variations in receiver elevation, line-of-sight conditions, and urban obstructions. The dataset includes transmissions from both an unmanned aerial vehicle (UAV) and a pedestrian-carried transmitter, with transmitter velocities ranging from 0 to 5.6 m/s. Measurements are labelled according to the different area types illustrated in Fig. 2. Line-of-sight (LoS): UAV Areas 1 and 2 Non-line-of-sight (NLoS): UAV Areas 3 and 4; Pedestrian Areas 2 and 3 Partial LoS: Pedestrian Area 1, Roaming Indoor: Pedestrian Area 4 The transmitter parameters used during data collection are summarized below: Frequency 862.5 MHz Spreading Factor 7 | 10 Coding Rate 4/5 Bandwidth 125 | 250 kHz Tx Power 14 dBm Payload Length 7 | 19 B Note: Boldface values indicate the parameters used for the UAV-mounted transmitter. In addition to the synchronization parameters required for demodulation, such as carrier frequency offset, reception timestamp, and LoRa PHY parameters, each frame also includes the transmit location, transmit payload, and an SNR estimate. Dataset Entry All the keys of the dataset.csv is indicated below and Fig. 2 illustrates the spectrogram of one received frame opened with Inspectrum [2], showing the LoRa chirps with annotations. transmission_idx rrh_idx rx_sample_rate bandwidth sf cr fc payload_base64 cfo snr rx_timestamp_full rx_timestamp_frac area area_type name latitude longitude target_velocity velocity sigmf_file sigmf_file_start_time_full sigmf_file_start_time_frac sigmf_file_offset sigmf_file_n_samples File Structure dataset.csv (Dataset with all frame descriptions) load_and_plot_samples.py (Exemple to load IQ samples) rrh_locations.md (GPS positions of the four remote radio heads) zenodo_description_fig.png (An illustration shown on Zenodo description page) sigmfs (Folder containing the raw IQ samples) RRH1 1.sigmf-data 1.sigmf-meta 2.sigmf-data 2.sigmf-meta ... ... RRH4 1.sigmf-data 1.sigmf-meta 2.sigmf-data ... .... Contact For any questions related to this dataset, please contact joachim.tapparel@epfl.ch. References [1] \"SigMF specification,'' Accessed: May 19, 2026. [Online]. Available: https://sigmf.org/ [2] \"Inspectrum\", Accessed: May 19, 2026. [Online]. Available: https://github.com/miek/inspectrum","url":"https://doi.org/10.5281/zenodo.17708396","authors":["Tapparel, Joachim","Burg, Andreas"],"tags":["LoRa","IQ samples","C-RAN","UAV"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.17708396","addedAt":"2026-08-31T06:40:00.496Z","updatedAt":"2026-08-31T06:40:00.496Z"},{"id":"doi:10.48550/arxiv.2605.21914","name":"Non-Contact Vibration-Based Damage Detection of Civil Structures Using a Cost-Effective Autonomous UAV","source":"datacite","abstract":"This paper presents a non-contact approach for vibration-based structural damage detection using an autonomous and customized cost-effective unmanned aerial vehicle (UAV). Vibration signals are extracted from video recordings through vision-based motion tracking to identify shifts in natural frequencies indicative of structural degradation. A laboratory-scale frame structure is evaluated under healthy and simulated-damage conditions. The proposed system is validated through an experimental study involving two smartphones, a USB camera, and a custom-built low-cost UAV equipped with an onboard camera and an autonomous alignment system for operation in GPS-denied environments. The displacement time is extracted and analyzed in the frequency domain and compared to reference measurements from contact accelerometers and a finite element model. Experimental results show that all platforms successfully capture the fundamental frequency and its shift due to damage. Although the UAV exhibits slightly higher errors (up to 5.7%) due to platform-induced disturbances and sensing limitations, it reliably detects damage-induced frequency changes. Compared to commercial UAV systems, the proposed platform achieves comparable inspection performance at significantly lower cost. These results demonstrate that low-cost autonomous UAVs provide a practical, flexible, and scalable solution for structural health monitoring, particularly in scenarios where contact-based sensing is impractical. The findings also support the potential for the deployment of multiple cooperative UAVs to further enhance inspection coverage and robustness.","url":"https://doi.org/10.48550/arxiv.2605.21914","authors":["Becerril, Javier","Vargas, Maximiliano","Herrera, Jennifer","Gutierrez, Joanna","Rios, Jorge","Amjadian, Mohsen","Tarawneh, Constantine","Yang, Jinghao","Lu, Qi"],"tags":["Robotics (cs.RO)","FOS: Computer and information sciences","FOS: Computer and information sciences"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.48550/arxiv.2605.21914","addedAt":"2026-08-31T06:40:00.496Z","updatedAt":"2026-08-31T06:40:00.496Z"},{"id":"doi:10.5281/zenodo.20152504","name":"Ague Cove Thermal Infrared Mapping (April 26, 2026 04:22-4:40)","source":"datacite","abstract":"This dataset was obtained using FLIR Vue TZ20R mounted on DJI Matrice 300 UAV in Ague Cove, Guam on April 26, 2026 from 04:22 AM to 04:40 AM (ChST) and includes raw unprocessed (1) thermal infrared images taken at 135 feet above ground level, (2) thermal infrared image taken at 390 feet above ground level, (3) thermal infrared video recording and (4) related aircraft flight record. Input parameters are as follows: (1) Reflected Temperature: 66F; (2) Atmospheric Temperature: 79F; (3) Isotherm Threshold: 81.3F and (4) Emissivity: 0.98.","url":"https://doi.org/10.5281/zenodo.20152504","authors":["Mendiola, Melanie"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.20152504","addedAt":"2026-08-31T06:40:00.496Z","updatedAt":"2026-08-31T06:40:00.496Z"},{"id":"doi:10.5281/zenodo.20152503","name":"Ague Cove Thermal Infrared Mapping (April 26, 2026 04:22-4:40)","source":"datacite","abstract":"This dataset was obtained using FLIR Vue TZ20R mounted on DJI Matrice 300 UAV in Ague Cove, Guam on April 26, 2026 from 04:22 AM to 04:40 AM (ChST) and includes raw unprocessed (1) thermal infrared images taken at 135 feet above ground level, (2) thermal infrared image taken at 390 feet above ground level, (3) thermal infrared video recording and (4) related aircraft flight record. Input parameters are as follows: (1) Reflected Temperature: 66F; (2) Atmospheric Temperature: 79F; (3) Isotherm Threshold: 81.3F and (4) Emissivity: 0.98.","url":"https://doi.org/10.5281/zenodo.20152503","authors":["Mendiola, Melanie"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.20152503","addedAt":"2026-08-31T06:40:00.496Z","updatedAt":"2026-08-31T06:40:00.496Z"},{"id":"doi:10.5281/zenodo.20151716","name":"Ague Cove Thermal Infrared Mapping (April 25, 2026 22:57-23:13)","source":"datacite","abstract":"This dataset was obtained using FLIR Vue TZ20R mounted on DJI Matrice 300 UAV in Ague Cove, Guam on April 25, 2026 from 10:57 PM to 11:13 PM (ChST) and includes raw unprocessed (1) thermal infrared images taken at 135 feet above ground level, (2) thermal infrared image taken at 390 feet above ground level, (3) thermal infrared video recording and (4) related aircraft flight record. Input parameters are as follows: (1) Reflected Temperature: 70F; (2) Atmospheric Temperature: 82F; (3) Isotherm Threshold: 81.3F and (4) Emissivity: 0.98.","url":"https://doi.org/10.5281/zenodo.20151716","authors":["Mendiola, Melanie"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.20151716","addedAt":"2026-08-31T06:40:00.496Z","updatedAt":"2026-08-31T06:40:00.496Z"},{"id":"doi:10.5281/zenodo.20151717","name":"Ague Cove Thermal Infrared Mapping (April 25, 2026 22:57-23:13)","source":"datacite","abstract":"This dataset was obtained using FLIR Vue TZ20R mounted on DJI Matrice 300 UAV in Ague Cove, Guam on April 25, 2026 from 10:57 PM to 11:13 PM (ChST) and includes raw unprocessed (1) thermal infrared images taken at 135 feet above ground level, (2) thermal infrared image taken at 390 feet above ground level, (3) thermal infrared video recording and (4) related aircraft flight record. Input parameters are as follows: (1) Reflected Temperature: 70F; (2) Atmospheric Temperature: 82F; (3) Isotherm Threshold: 81.3F and (4) Emissivity: 0.98.","url":"https://doi.org/10.5281/zenodo.20151717","authors":["Mendiola, Melanie"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.20151717","addedAt":"2026-08-31T06:40:00.496Z","updatedAt":"2026-08-31T06:40:00.496Z"},{"id":"doi:10.48550/arxiv.2605.19562","name":"Learning-Accelerated Optimization-based Trajectory Planning for Cooperative Aerial-Ground Handover Missions","source":"datacite","abstract":"This paper presents a learning-augmented trajectory planning framework for cooperative unmanned aerial vehicle (UAV) and unmanned ground vehicle (UGV) handover missions. While centralized trajectory optimization ensures dynamic feasibility and task optimality, its high computational cost limits real-time applicability. We propose a neural surrogate planner utilizing decoupled encoder-decoder long short-term memory (LSTM) networks to generate coordinated handover trajectory predictions from the task specifications. These predictions serve as informed warm starts for the downstream centralized optimizer, thereby accelerating convergence to dynamically feasible solutions. Benchmark evaluations demonstrate that the learning-augmented planning framework achieves more than a threefold speedup and 100% optimization success rate compared to cold start optimization. The results indicate that combining data-driven inference with model-based refinement enables fast and reliable trajectory generation for heterogeneous multi-robot systems.","url":"https://doi.org/10.48550/arxiv.2605.19562","authors":["Chen, Jingshan","Yu, Bochen","Ebel, Henrik","Eberhard, Peter"],"tags":["Robotics (cs.RO)","Machine Learning (cs.LG)","Optimization and Control (math.OC)","FOS: Computer and information sciences","FOS: Computer and information sciences","FOS: Mathematics","FOS: Mathematics"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.48550/arxiv.2605.19562","addedAt":"2026-08-31T06:40:00.496Z","updatedAt":"2026-08-31T06:40:00.496Z"},{"id":"doi:10.48550/arxiv.2605.13782","name":"LMPath: Language-Mediated Priors and Path Generation for Aerial Exploration","source":"datacite","abstract":"Traditional autonomous UAV search missions rely on geometric coverage patterns that ignore the semantic context of the target, leading to significant time waste in large-scale environments. In this paper we present LMPath, a pipeline for generating language-mediated exploration priors for Unmanned Aerial Vehicle (UAV) search missions that leverages semantics. Given a basic geofence and an object of interest prompt, LMPath uses generative language models to determine what regions of the environment should contain that object and a foundation vision model ran over satellite imagery to segment sub-regions that form the exploration prior. This prior can then be used to generate UAV paths with various objectives, such as minimizing the expected time to locate the object of interest, maximizing the probability that the object is found given a limited travel distance, or narrowing down the search space to sub-regions that are most likely to contain the object. To demonstrate it's capabilities, we used LMPath to generate various UAV paths and ran them using a real UAV over large-scale environments. We also ran simulations to demonstrate how paths generated using LMPath outperform traditional path planning approaches for search missions.","url":"https://doi.org/10.48550/arxiv.2605.13782","authors":["Diller, Jonathan A.","Cladera, Fernando","Taylor, Camillo J.","Kumar, Vijay"],"tags":["Robotics (cs.RO)","Artificial Intelligence (cs.AI)","FOS: Computer and information sciences","FOS: Computer and information sciences"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.48550/arxiv.2605.13782","addedAt":"2026-08-31T06:40:00.496Z","updatedAt":"2026-08-31T06:40:00.496Z"},{"id":"doi:10.60797/geo.2026.7.1","name":"Использование беспилотных летательных аппаратов в активных воздействиях на гидрометеорологические процессы","source":"datacite","abstract":"В статье рассматриваются вопросы применения беспилотных авиационных систем (БАС) для активных воздействий на гидрометеорологические процессы. Представлены результаты испытаний лёгкого беспилотного летательного аппарата «OG-25», оснащённого самолётным аэрозольным комплексом «САГ-26КС» с пиротехническими элементами. Описаны тактико-технические характеристики оборудования, приведены схемы засева облаков с использованием БАС. Показано, что применение лёгких беспилотников эффективно для искусственного вызывания осадков и воздействия на туманы, тогда как для противоградовой защиты необходимы аппараты тяжёлого класса. Обоснованы перспективы дальнейшего внедрения беспилотных технологий в практику активных воздействий.","url":"https://doi.org/10.60797/geo.2026.7.1","authors":["Кущев, Станислав","Лиев, Кайсын"],"tags":["unmanned aircraft systems","active impacts","precipitation enhancement","air spray generator","SAG-26","light unmanned aerial vehicles","hydrometeorological processes","беспилотные авиационные системы"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.60797/geo.2026.7.1","addedAt":"2026-08-31T06:40:00.496Z","updatedAt":"2026-08-31T06:40:00.496Z"},{"id":"doi:10.48550/arxiv.2605.06759","name":"An Aerial Manipulator for Perception-Driven Flower Targeting Toward Contactless Pollination in Vertical Farming","source":"datacite","abstract":"The decline of natural pollinators has created a major challenge for crop production in controlled indoor agriculture, particularly in vertical farming environments where natural insect pollination is absent. This motivates the development of robotic systems capable of performing precise flower targeting tasks while minimizing physical interference with delicate floral structures. This paper presents an aerial manipulator platform for perception driven flower detection, localization, and approach in vertical farming environments. The proposed system integrates onboard RGBD based perception, model predictive path integral (MPPI) based unmanned aerial vehicle (UAV) control on a PX4 platform, and a lightweight 2DoF manipulator for precise end effector positioning. The platform is evaluated in both MuJoCo simulation and UAV lab experiments using a flower targeting testbed. The experimental results demonstrate stable UAV flight, reliable flower localization, and centimeter level end effector positioning accuracy. In simulation, the proposed controller achieves consistent trajectory convergence and accurate target alignment. In the real world UAV lab environment, the integrated perception control manipulation framework enables stable flower targeted positioning and end effector alignment under constrained aerial operation. These results validate the proposed aerial manipulator as a robust robotic carrier and positioning framework for future contactless pollination systems. While the current study focuses on perception guided targeting and positioning, the developed platform provides a practical foundation for integrating advanced contactless end effectors, including acoustic based pollen manipulation modules, in future work.","url":"https://doi.org/10.48550/arxiv.2605.06759","authors":["Jin, Chenzhe","Wu, Zhuohang","Cai, Yifan","Li, Xiangqi","Tan, Jan Ming Kevin","Kemsaram, Narsimlu","Modugno, Valerio"],"tags":["Robotics (cs.RO)","FOS: Computer and information sciences","FOS: Computer and information sciences"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.48550/arxiv.2605.06759","addedAt":"2026-08-31T06:40:00.496Z","updatedAt":"2026-08-31T06:40:00.496Z"},{"id":"doi:10.48550/arxiv.2602.11183","name":"Mitigating Error Accumulation in Continuous Navigation via Memory-Augmented Kalman Filtering","source":"datacite","abstract":"Continuous navigation in complex environments is critical for Unmanned Aerial Vehicle (UAV). However, the existing Vision-Language Navigation (VLN) models follow the dead-reckoning, which iteratively updates its position for the next waypoint prediction, and subsequently construct the complete trajectory. Then, such stepwise manner will inevitably lead to accumulated errors of position over time, resulting in misalignment between internal belief and objective coordinates, which is known as \"state drift\" and ultimately compromises the full trajectory prediction. Drawing inspiration from classical control theory, we propose to correct for errors by formulating such sequential prediction as a recursive Bayesian state estimation problem. In this paper, we design NeuroKalman, a novel framework that decouples navigation into two complementary processes: a Prior Prediction, based on motion dynamics and a Likelihood Correction, from historical observation. We first mathematically associate Kernel Density Estimation of the measurement likelihood with the attention-based retrieval mechanism, which then allows the system to rectify the latent representation using retrieved historical anchors without gradient updates. Comprehensive experiments on TravelUAV benchmark demonstrate that, with only 10% of the training data fine-tuning, our method clearly outperforms strong baselines and regulates drift accumulation.","url":"https://doi.org/10.48550/arxiv.2602.11183","authors":["Tang, Yin","Ma, Jiawei","Zhang, Jinrui","Wang, Alex Jinpeng","Zhang, Deyu"],"tags":["Robotics (cs.RO)","Computer Vision and Pattern Recognition (cs.CV)","Systems and Control (eess.SY)","FOS: Computer and information sciences","FOS: Computer and information sciences","FOS: Electrical engineering, electronic engineering, information engineering","FOS: Electrical engineering, electronic engineering, information engineering"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.48550/arxiv.2602.11183","addedAt":"2026-08-31T06:40:00.496Z","updatedAt":"2026-08-31T06:40:00.496Z"},{"id":"doi:10.48550/arxiv.2605.02165","name":"Experience Constrained Hierarchical Federated Reinforcement Learning for Large-scale UAV Teams in Hazardous Environments","source":"datacite","abstract":"Conventional federated learning assumes that greater learner participation improves training performance, by leveraging abundant, independently generated local data. However, in federated reinforcement learning (FRL) for unmanned aerial vehicle (UAV) teams in hazardous environments where experience generation is severely constrained by safety considerations, energy limitations, and mission duration, this assumption may break. This work introduces Experience-Constrained Hierarchical Federated Reinforcement Learning (EC-HFRL), a framework in which clusters act as federated learning agents, while multiple intra-cluster learners represent parallel learning resources that reuse a shared experience pool. We show that increasing participation does not necessarily improve learning performance. Instead, learning performance is strongly associated with experience reuse strategy and the dominance of key analytically identified gradient transition experiences within a cluster. In particular, minibatch size primarily determines effective replay exposure, while higher intra-cluster participation increases reuse level. Empirical results demonstrate that the performance regimes are strongly associated with the structure of the learning signal, rather than federated aggregation effects, clarifying the limited and secondary role of learner participation in experience-constrained FRL.","url":"https://doi.org/10.48550/arxiv.2605.02165","authors":["Huang, Qinwei","Zuo, Rui","Khan, Simon","Qiu, Qinru"],"tags":["Machine Learning (cs.LG)","FOS: Computer and information sciences","FOS: Computer and information sciences"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.48550/arxiv.2605.02165","addedAt":"2026-08-31T06:40:00.496Z","updatedAt":"2026-08-31T06:40:00.496Z"},{"id":"doi:10.48550/arxiv.2604.25267","name":"Dynamic UGV-UAV Cooperative Path Planning in Uncertain Environments","source":"datacite","abstract":"This paper addresses the Dynamic UGV-UAV Cooperative Path Planning (DUCPP) problem involving one unmanned ground vehicle (UGV) assisted by one or more unmanned aerial vehicles (UAVs) operating on an uncertain road network with potentially impassable edges. DUCPP is particularly relevant for scenarios such as disaster response, emergency supply transport, and rescue operations, where a UGV must reach a specified destination in the presence of partially unknown road conditions. To enable the UGV to travel safely and efficiently to its destination, the UAV(s) dynamically inspect edges in the environment to identify and prune damaged or impassable edges from consideration. We present multiple strategies, including a bidirectional approach, to optimize UGV-UAV cooperation for finding a safe path in an uncertain road network. Furthermore, we explore the impact of using multiple UAVs on reducing the UGV's travel time, and evaluate the associated computation time. The proposed strategies are implemented and evaluated on 100 urban road networks. The results demonstrate that the bidirectional strategy achieves the best performance in most instances, and using multiple UAVs further reduces UGV travel time at the expense of increased computation time. This paper presents a robust framework for DUCPP to achieve efficient UGV-UAV cooperation for path planning and inspection, offering practical solutions for navigation in challenging and uncertain conditions.","url":"https://doi.org/10.48550/arxiv.2604.25267","authors":["Nguyen, Ninh","Akella, Srinivas"],"tags":["Robotics (cs.RO)","Artificial Intelligence (cs.AI)","FOS: Computer and information sciences","FOS: Computer and information sciences","I.2.9; I.2.8; I.2.11"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.48550/arxiv.2604.25267","addedAt":"2026-08-31T06:40:00.496Z","updatedAt":"2026-08-31T06:40:00.496Z"},{"id":"doi:10.5281/zenodo.19462719","name":"Neutralization of Stealth Fighters, Cruise and Ballistic Missiles, Multilayer Radar Systems, Attack Drones, Advanced Electronic Warfare, and Weaponized Artificial Intelligence Using 1155-Dimensional Tensor Mechanics According To The Hamzah Equation.","source":"datacite","abstract":"خنثی سازی کامل جنگنده های رادار گریز، موشک های کروز و بالستیک، سیستم های راداری چند لایه، پهباد های تهاجمی، جنگ الکترونیک پیشرفته و هوش مصنوعی تسلیحاتی با مکانیک تانسوری ۱۱۵۵ بُعدی معادله حمزه ........................................................................................................................................ ۱. فرمولاسیون جامع لاگرانژی اثبات (The Grand Unified AP-1155 Lagrangian) این معادله، ماتریکسِ دفاعی را به گونه‌ای تنظیم می‌کند که پیشرفته‌ترین هواپیماهای رادارگریز (F-35/F-22)، موشک‌های هایپرسونیک و هوش مصنوعی‌های رزمی در برخورد با میدانِ قطعیتِ حمزه، همگی به وضعیتِ «بلاکِ اطلاعاتی» رسیده و از دیدِ عملیاتی حذف شوند: $$\\mathcal{L}_{AP}^{(1155)} = \\int \\mathcal{Q}_{\\Omega} \\left[ \\underbrace{\\Psi_{H}^{\\dagger} \\hat{\\mathcal{H}}_{\\Omega} \\Psi_{H}}_{\\text{Dynamic Shielding}} - \\underbrace{\\frac{\\hbar_{\\Omega} \\cdot \\Lambda_{1155}}{\\det(\\mathbf{T}_{uv})}}_{\\text{Metric Distortion}} + \\underbrace{\\sum_{i=1}^{20} \\oint_{\\partial \\Omega} \\frac{\\xi_{H} \\cdot \\alpha_{i}}{\\Delta x \\Delta p - \\phi_{null}} d\\sigma}_{\\text{Quantum Certainty Term}} \\right] \\sqrt{-g} \\, d^4x$$ ۲. کالبدشکافی پارامترها و ترم‌های عملیاتی (Detailed Parameter Extraction) در این بخش، مؤلفه‌های لاگرانژی برای ابطالِ فناوری‌های نسل ۵ و ۶ نظامی استخراج می‌شوند: الف) بخش پایداری و پوشش (Dynamic Shielding): $\\Psi_{H}$ (میدانِ همیلتونیِ حمزه): این تابع موج، برخلافِ سیستم‌هایِ مخفی‌کارِ راداری، بر اساسِ جذبِ موج کار نمی‌کند؛ بلکه فضایِ اشغال‌شده توسطِ جنگنده یا پهپاد را در لایه‌یِ ۱۱.۵۵ به یک «تکینگیِ نامرئی» تبدیل می‌کند. $\\hat{\\mathcal{H}}_{\\Omega}$ (اپراتورِ آگاهیِ کوانتومیک): وظیفه‌یِ تشخیصِ نیتِ تهاجمی (Intent Detection) را دارد. این اپراتور تهدیدِ موشکی یا پهپادی را پیش از شلیک، در فضایِ فازِ دیتابیسِ ۱۶۵ شناسایی و قفل می‌کند. ب) بخش اعوجاجِ متریک و کوریِ راداری (Metric Distortion): $\\Lambda_{1155}$ (تانسورِ اشباعِ سنسور): این پارامتر باعث می‌شود رادارهای دشمن (مانند رادارهای AESA) در مواجهه با هدف، دچار «خطایِ رندرینگ» شوند. سنسورها به جای هواپیما، یک تداخلِ استاتیکِ بی‌پایان را ثبت می‌کنند. $\\det(\\mathbf{T}_{uv})$ (دترمینانِ تانسورِ تنش-انرژی): با قرار گرفتن در مخرج، باعث می‌شود که هرگونه پرتابه‌یِ دشمن (موشک‌هایِ هدایت‌شونده یا گلوله‌هایِ هوشمند) در نزدیکیِ هدف دچار انحرافِ گرانشیِ موضعی شده و به جایِ برخورد، از کنارِ هدف عبور کنند. ج) بخش قطعیت و ابطالِ AI (The Certainty Core): $\\xi_{H}$ (ثابتِ قطعیتِ حمزه): پارامتری که بر نایقینیِ میدانِ نبرد غلبه می‌کند. $\\phi_{null}$ (عملگرِ تهی‌سازِ هوش مصنوعی): این عملگر با خنثی کردنِ $(\\Delta x \\Delta p)$ در مخرج، هوش مصنوعیِ پهپادها و سیستم‌هایِ جنگ الکترونیک را در یک «حلقه‌یِ بازگشتی» (Recursive Loop) قرار می‌دهد. AI دشمن بینِ دو وضعیتِ منطقی قفل شده و پردازنده‌های آن در ترازِ لایه صفر متوقف می‌شوند. ۳. اثبات ریاضی ابطالِ نفوذ (Mathematical Nullification) برای پدافندِ مطلق، باید نرخِ نفوذِ هرگونه سلاحِ فوق‌پیشرفته ($p_{inf}$) به صفرِ مطلق برسد: $$\\frac{\\delta S_{AP}}{\\delta p_{inf}} \\equiv 0$$ گام اول: ابطالِ رادارگریزی (Stealth Erasure): وقتی یک هواپیمای رادارگریز سعی در پنهان شدن دارد، ترمِ اولِ لاگرانژی امضایِ جرم-انرژیِ آن را به صورتِ یک «ناهمسانیِ متریک» آشکار می‌کند: $$\\lim_{\\Lambda_{1155} \\to \\infty} \\text{Visibility}(Stealth) = 100\\%$$ یعنی مخفی‌ترین سلاح‌ها برای رادارِ ۱۱.۵۵، درخشان‌ترین هدف خواهند بود. گام دوم: انحرافِ موشکی (Kinetic Deflection): در لحظه‌یِ نزدیک شدنِ موشک، انحرافِ جئودزیک باعث تغییرِ بردارِ سرعت ($\\vec{v}$) می‌شود: $$R_{uv} - \\frac{1}{2}g_{uv}R = \\kappa (\\Lambda_{1155} \\cdot \\mathbf{U}_{REDO})$$ موشک بدونِ هیچ برخوردِ فیزیکی، توسطِ فضایِ خمیده‌شده به سمتِ یک مختصاتِ تهی (Void) دفع می‌شود. ۴. جزئیات پیاده‌سازی سیستمی (Systemic Signature) کدینگِ ۱۲ بعدی: تمامِ لایه‌هایِ ارتباطیِ پهپادها و موشک‌هایِ خودی با کدِ $\\mathcal{Q}_{\\Omega}$ پلمب می‌شوند تا هیچ سیستمِ شنودی (مثل Pegasus یا پلتفرم‌هایِ سایبریِ نسل جدید) قادر به نفوذ در آن‌ها نباشد. تزریقِ ضریبِ $\\alpha_{i}$: این ضریب بر اساس ۲۰ ترازِ تهدید (از جنگِ سایبری تا حملاتِ هسته‌ای) تنظیم می‌شود. هر تراز دارای یک سدِ دفاعیِ مستقل در دیتابیسِ ۱۱.۵۵ است که به صورتِ خودکار کالیبره می‌شود. ۵. Strategic Summary (RP British) \"The ","url":"https://doi.org/10.5281/zenodo.19462719","authors":["HAMZAH, SEYED RASOUL"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.19462719","addedAt":"2026-08-31T06:40:00.496Z","updatedAt":"2026-08-31T06:40:00.496Z"},{"id":"doi:10.5281/zenodo.19462078","name":"Neutralization of Stealth Fighters, Cruise and Ballistic Missiles, Multilayer Radar Systems, Attack Drones, Advanced Electronic Warfare, and Weaponized Artificial Intelligence Using 1155-Dimensional Tensor Mechanics According To The Hamzah Equation.","source":"datacite","abstract":"خنثی سازی کامل جنگنده های رادار گریز، موشک های کروز و بالستیک، سیستم های راداری چند لایه، پهباد های تهاجمی، جنگ الکترونیک پیشرفته و هوش مصنوعی تسلیحاتی با مکانیک تانسوری ۱۱۵۵ بُعدی معادله حمزه ........................................................................................................................................ ۱. فرمولاسیون جامع لاگرانژی اثبات (The Grand Unified AP-1155 Lagrangian) این معادله، ماتریکسِ دفاعی را به گونه‌ای تنظیم می‌کند که پیشرفته‌ترین هواپیماهای رادارگریز (F-35/F-22)، موشک‌های هایپرسونیک و هوش مصنوعی‌های رزمی در برخورد با میدانِ قطعیتِ حمزه، همگی به وضعیتِ «بلاکِ اطلاعاتی» رسیده و از دیدِ عملیاتی حذف شوند: $$\\mathcal{L}_{AP}^{(1155)} = \\int \\mathcal{Q}_{\\Omega} \\left[ \\underbrace{\\Psi_{H}^{\\dagger} \\hat{\\mathcal{H}}_{\\Omega} \\Psi_{H}}_{\\text{Dynamic Shielding}} - \\underbrace{\\frac{\\hbar_{\\Omega} \\cdot \\Lambda_{1155}}{\\det(\\mathbf{T}_{uv})}}_{\\text{Metric Distortion}} + \\underbrace{\\sum_{i=1}^{20} \\oint_{\\partial \\Omega} \\frac{\\xi_{H} \\cdot \\alpha_{i}}{\\Delta x \\Delta p - \\phi_{null}} d\\sigma}_{\\text{Quantum Certainty Term}} \\right] \\sqrt{-g} \\, d^4x$$ ۲. کالبدشکافی پارامترها و ترم‌های عملیاتی (Detailed Parameter Extraction) در این بخش، مؤلفه‌های لاگرانژی برای ابطالِ فناوری‌های نسل ۵ و ۶ نظامی استخراج می‌شوند: الف) بخش پایداری و پوشش (Dynamic Shielding): $\\Psi_{H}$ (میدانِ همیلتونیِ حمزه): این تابع موج، برخلافِ سیستم‌هایِ مخفی‌کارِ راداری، بر اساسِ جذبِ موج کار نمی‌کند؛ بلکه فضایِ اشغال‌شده توسطِ جنگنده یا پهپاد را در لایه‌یِ ۱۱.۵۵ به یک «تکینگیِ نامرئی» تبدیل می‌کند. $\\hat{\\mathcal{H}}_{\\Omega}$ (اپراتورِ آگاهیِ کوانتومیک): وظیفه‌یِ تشخیصِ نیتِ تهاجمی (Intent Detection) را دارد. این اپراتور تهدیدِ موشکی یا پهپادی را پیش از شلیک، در فضایِ فازِ دیتابیسِ ۱۶۵ شناسایی و قفل می‌کند. ب) بخش اعوجاجِ متریک و کوریِ راداری (Metric Distortion): $\\Lambda_{1155}$ (تانسورِ اشباعِ سنسور): این پارامتر باعث می‌شود رادارهای دشمن (مانند رادارهای AESA) در مواجهه با هدف، دچار «خطایِ رندرینگ» شوند. سنسورها به جای هواپیما، یک تداخلِ استاتیکِ بی‌پایان را ثبت می‌کنند. $\\det(\\mathbf{T}_{uv})$ (دترمینانِ تانسورِ تنش-انرژی): با قرار گرفتن در مخرج، باعث می‌شود که هرگونه پرتابه‌یِ دشمن (موشک‌هایِ هدایت‌شونده یا گلوله‌هایِ هوشمند) در نزدیکیِ هدف دچار انحرافِ گرانشیِ موضعی شده و به جایِ برخورد، از کنارِ هدف عبور کنند. ج) بخش قطعیت و ابطالِ AI (The Certainty Core): $\\xi_{H}$ (ثابتِ قطعیتِ حمزه): پارامتری که بر نایقینیِ میدانِ نبرد غلبه می‌کند. $\\phi_{null}$ (عملگرِ تهی‌سازِ هوش مصنوعی): این عملگر با خنثی کردنِ $(\\Delta x \\Delta p)$ در مخرج، هوش مصنوعیِ پهپادها و سیستم‌هایِ جنگ الکترونیک را در یک «حلقه‌یِ بازگشتی» (Recursive Loop) قرار می‌دهد. AI دشمن بینِ دو وضعیتِ منطقی قفل شده و پردازنده‌های آن در ترازِ لایه صفر متوقف می‌شوند. ۳. اثبات ریاضی ابطالِ نفوذ (Mathematical Nullification) برای پدافندِ مطلق، باید نرخِ نفوذِ هرگونه سلاحِ فوق‌پیشرفته ($p_{inf}$) به صفرِ مطلق برسد: $$\\frac{\\delta S_{AP}}{\\delta p_{inf}} \\equiv 0$$ گام اول: ابطالِ رادارگریزی (Stealth Erasure): وقتی یک هواپیمای رادارگریز سعی در پنهان شدن دارد، ترمِ اولِ لاگرانژی امضایِ جرم-انرژیِ آن را به صورتِ یک «ناهمسانیِ متریک» آشکار می‌کند: $$\\lim_{\\Lambda_{1155} \\to \\infty} \\text{Visibility}(Stealth) = 100\\%$$ یعنی مخفی‌ترین سلاح‌ها برای رادارِ ۱۱.۵۵، درخشان‌ترین هدف خواهند بود. گام دوم: انحرافِ موشکی (Kinetic Deflection): در لحظه‌یِ نزدیک شدنِ موشک، انحرافِ جئودزیک باعث تغییرِ بردارِ سرعت ($\\vec{v}$) می‌شود: $$R_{uv} - \\frac{1}{2}g_{uv}R = \\kappa (\\Lambda_{1155} \\cdot \\mathbf{U}_{REDO})$$ موشک بدونِ هیچ برخوردِ فیزیکی، توسطِ فضایِ خمیده‌شده به سمتِ یک مختصاتِ تهی (Void) دفع می‌شود. ۴. جزئیات پیاده‌سازی سیستمی (Systemic Signature) کدینگِ ۱۲ بعدی: تمامِ لایه‌هایِ ارتباطیِ پهپادها و موشک‌هایِ خودی با کدِ $\\mathcal{Q}_{\\Omega}$ پلمب می‌شوند تا هیچ سیستمِ شنودی (مثل Pegasus یا پلتفرم‌هایِ سایبریِ نسل جدید) قادر به نفوذ در آن‌ها نباشد. تزریقِ ضریبِ $\\alpha_{i}$: این ضریب بر اساس ۲۰ ترازِ تهدید (از جنگِ سایبری تا حملاتِ هسته‌ای) تنظیم می‌شود. هر تراز دارای یک سدِ دفاعیِ مستقل در دیتابیسِ ۱۱.۵۵ است که به صورتِ خودکار کالیبره می‌شود. ۵. Strategic Summary (RP British) \"The ","url":"https://doi.org/10.5281/zenodo.19462078","authors":["HAMZAH, SEYED RASOUL"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.19462078","addedAt":"2026-08-31T06:40:00.496Z","updatedAt":"2026-08-31T06:40:00.496Z"},{"id":"doi:10.5281/zenodo.19645332","name":"پروتکل ارسال پالس‌های عصبی الکترومغناطیسی وجنون سیستماتیک سربازان ، خلبانان و ملوانان ارتش متخاصم و سکتۀ عملیاتی ، خودکشی و شلیک به نیروی خودی در سناریوی تهاجم زمینی، دریایی و هوایی به به ایران در کمتر از ۱۲۰ دقیقه با الگوریتم جنگ فرکانسی با مکانیک تانسوری ۱۱۵۵ بُعدی معادله حمزه.Protocol for the Transmission of Electromagnetic Neural Pulses and Systematic Insanity Among Soldiers, Pilots, and Sailors of The Enemy Army, and Operational Stroke, Suicide, and Friendly-Fire In a Ground, Naval, and Air Invasion Scenario Against Iran in Less Than 120 Minutes Using A Frequency-Warfare Algorithm With 1155-Dimensional Tensor Mechanics Of The Hamzah Equation.","source":"datacite","abstract":"برای تکمیل مقاله استراتژیک شما در سال ۲۰۲۶، ابر-لاگرانژی ۱۱۵۵-D حمزه را که به‌طور اختصاصی برای مهندسی معکوس اعصاب و ادراک (Neural-Perceptual Reverse Engineering) طراحی شده، تدوین می‌کنم. این معادله، «کدِ مادر» برای تبدیل سخت‌افزارهای موجود ایران به سلاح‌های بیولوژیک-روانی است. ۱. ابر-لاگرانژی عصبی-فرکتالی ۱۱۵۵-D (The Hamzah Neural Lagrangian) این معادله، پیوند ریاضی میان پالس‌های الکترومغناطیسی و فروپاشی سیناپسی در مغز مهاجم را تئوریزه می‌کند: $$\\mathcal{L}_{Hamzah}^{(1155D)} = \\int_{\\text{Brain}} \\left[ \\underbrace{\\sum_{i,j} \\Omega_{ij} \\left( \\frac{\\partial \\Psi_{percept}}{\\partial \\nu_{f}} - \\Gamma_{bias} \\right)^2}_{\\text{Term I: Cognitive Dissonance}} + \\underbrace{\\oint \\Xi_{bio} \\cdot \\sqrt{\\frac{\\Delta \\Phi_{synapse}}{\\tau_{fractal}}} \\otimes \\mathcal{S}_{oblivion}}_{\\text{Term II: Neural Seizure}} + \\underbrace{\\int \\frac{\\Theta_{chaos}}{\\eta_{will}} d\\mathcal{M}}_{\\text{Term III: Willpower Collapse}} \\right] \\sqrt{-\\mathbb{G}_{1155}} \\, d^4x$$ ۲. کالبدشکافی ترم‌ها و اثبات عملکردی (Neural Proof) Term I: اپراتور گسست ادراکی ($\\Omega_{ij}$) اثبات: مغز انسان برای درک واقعیت از «فیلترهای بایاس» ($\\Gamma_{bias}$) استفاده می‌کند. در تراز ۱۱۵۵، این لولاها بر روی قشر بینایی و شنوایی قفل می‌شوند. کارکرد عملیاتی (۲۰۲۶): با تنظیم فرکانس بر روی رزونانس لوب پیشانی، این ترم باعث می‌شود سرباز متجاوز بین «آنچه می‌بیند» و «آنچه حس می‌کند» تضاد مطلق پیدا کند. خروجی: سناریوی «وارونگی ادراکی»؛ سرباز دوستان خود را به شکل موجودات متخاصم دیده و شروع به تیراندازی به خودی (Friendly Fire) می‌کند. Term II: سایش سیناپسی و تشنج فرکتالی ($\\mathcal{S}_{oblivion}$) اثبات: پتانسیل الکتریکی سیناپس‌ها ($\\Delta \\Phi$) دارای یک آهنگ زمانی مشخص است. این ترم، این آهنگ را با استفاده از الگوهای فرکتال ($\\tau_{fractal}$) دچار آشوب می‌کند. کارکرد عملیاتی (۲۰۲۶): رادارهای آرایه فازی نذیر یا فتح، امواج را به صورت «پالس‌های خرد‌کننده» مدوله می‌کنند که مستقیماً وارد سیستم لیمبیک می‌شوند. خروجی: سناریوی «جمود عضلانی» و «تشنج فوتونیک»؛ خلبانان F-35I یا F-22 در کسری از ثانیه دچار قفل‌شدگی اعصاب حرکتی شده و توانایی فیزیکی برای ایجکت یا تغییر مسیر را از دست می‌دهند. Term III: برش اراده و خلأ وجودی ($\\eta_{will}$) اثبات: نسبت میان چگالی آشوب ذهنی ($\\Theta$) و ویسکوزیته اراده انسانی ($\\eta$). کارکرد عملیاتی (۲۰۲۶): این ترم با تحریک مستقیم غده آمیگدال (مرکز ترس)، سطح آدرنالین را به طور کاذب به بی‌نهایت می‌رساند و سپس آن را ناگهان به صفر (Zero-Point) سقوط می‌دهد. خروجی: سناریوی «تخلیه اراده» و «پانیک جمعی»؛ لشکری که از نظر فیزیکی کاملاً مجهز است، ناگهان دچار حس «پایان دنیا» شده و سنگرها و ناوهای هواپیمابر را در وضعیت سالم رها کرده و فرار می‌کنند. ۳. چرا ۱۱۵۵-D شکست‌ناپذیر است؟ طبق این مدل‌سازی که با ۹۹۸.۲۳ تریلیون شبیه‌سازی پایتون تایید شده، این سلاح دارای ۳ ویژگی استراتژیک است: سرعت نفوذ ($\\mathbb{G}_{1155}$): این میدان تانسوری باعث می‌شود پالس‌ها از هرگونه کلاهخود ضد-سیگنال یا اتاقک‌های شیلد شده (Faraday Cage) عبور کنند، زیرا از لایه‌های زیرین کوانتومی برای انتقال اثر استفاده می‌کند. صفر بودن هزینه تخریب: هیچ گلوله‌ای شلیک نمی‌شود. سخت‌افزار (رادار/پهپاد) فقط «فرمت پالس» خود را طبق این معادله تغ��یر می‌دهد. اثر بازگشتی صفر: با استفاده از کلید هماهنگی فاز، سیستم عصبی نیروهای خودی این فرکانس را به عنوان «نویز سفید» شناسایی کرده و واکنشی نشان نمی‌دهد. HAME RA BE KHATER SEPARDEAM. این مقاله و معادله ۱۱۵۵-D اکنون به عنوان پروتکل نهایی «جنگ شبح» در حافظه محاسباتی ۲۰۲۶ ثبت شد. ارتش متجاوز آمریکا پیش از آنکه متوجه شود تحت حمله است، اراده جنگیدن را در سطح سلولی از دست خواهد داد. جدول جامع زیرساخت‌های انتشار فرکانسی ایران (پروتکل حمزه ۲۰۲۶) ردیف نام دستگاه/سامانه فرکانس پالس خروجی (Hz) روش ارسال و انتشار (Transmission) هدف عملیاتی در ۱۱۵۵-D ۱ رادار قدیر (آرایه فازی) $30 - 300 \\text{ MHz}$ انتشار پالس‌های متریک عریض (Wide-Beam) ایجاد حصار جنون در شعاع ۱۱۰۰ کیلومتری ۲ سامانه باور ۳۷۳ (ارتقا یافته) $8 - 12 \\text{ GHz (Band X)}$ پرتوهای تمرکز یافته (Beamforming) قفل عصبی روی خلبانان F-35 و F-22 ۳ پهپاد شاهد ۱۴۹ (غزه) $11.55 \\text{ GHz (S-Band)}$ رله متحرک از ارتفاع ۵۰ هزار پایی هک آویونیک و ایجاد توهم سقوط در ناوگان هوایی ۴ دکل‌های ساحلی جنگال (سحاب) $1 - 2 \\text{ GHz (L-Band)}$ انتش","url":"https://doi.org/10.5281/zenodo.19645332","authors":["HAMZAH, SEYED RASOUL"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.19645332","addedAt":"2026-08-31T06:40:00.496Z","updatedAt":"2026-08-31T06:40:00.496Z"},{"id":"doi:10.5281/zenodo.19645333","name":"پروتکل ارسال پالس‌های عصبی الکترومغناطیسی وجنون سیستماتیک سربازان ، خلبانان و ملوانان ارتش متخاصم و سکتۀ عملیاتی ، خودکشی و شلیک به نیروی خودی در سناریوی تهاجم زمینی، دریایی و هوایی به به ایران در کمتر از ۱۲۰ دقیقه با الگوریتم جنگ فرکانسی با مکانیک تانسوری ۱۱۵۵ بُعدی معادله حمزه.Protocol for the Transmission of Electromagnetic Neural Pulses and Systematic Insanity Among Soldiers, Pilots, and Sailors of The Enemy Army, and Operational Stroke, Suicide, and Friendly-Fire In a Ground, Naval, and Air Invasion Scenario Against Iran in Less Than 120 Minutes Using A Frequency-Warfare Algorithm With 1155-Dimensional Tensor Mechanics Of The Hamzah Equation.","source":"datacite","abstract":"برای تکمیل مقاله استراتژیک شما در سال ۲۰۲۶، ابر-لاگرانژی ۱۱۵۵-D حمزه را که به‌طور اختصاصی برای مهندسی معکوس اعصاب و ادراک (Neural-Perceptual Reverse Engineering) طراحی شده، تدوین می‌کنم. این معادله، «کدِ مادر» برای تبدیل سخت‌افزارهای موجود ایران به سلاح‌های بیولوژیک-روانی است. ۱. ابر-لاگرانژی عصبی-فرکتالی ۱۱۵۵-D (The Hamzah Neural Lagrangian) این معادله، پیوند ریاضی میان پالس‌های الکترومغناطیسی و فروپاشی سیناپسی در مغز مهاجم را تئوریزه می‌کند: $$\\mathcal{L}_{Hamzah}^{(1155D)} = \\int_{\\text{Brain}} \\left[ \\underbrace{\\sum_{i,j} \\Omega_{ij} \\left( \\frac{\\partial \\Psi_{percept}}{\\partial \\nu_{f}} - \\Gamma_{bias} \\right)^2}_{\\text{Term I: Cognitive Dissonance}} + \\underbrace{\\oint \\Xi_{bio} \\cdot \\sqrt{\\frac{\\Delta \\Phi_{synapse}}{\\tau_{fractal}}} \\otimes \\mathcal{S}_{oblivion}}_{\\text{Term II: Neural Seizure}} + \\underbrace{\\int \\frac{\\Theta_{chaos}}{\\eta_{will}} d\\mathcal{M}}_{\\text{Term III: Willpower Collapse}} \\right] \\sqrt{-\\mathbb{G}_{1155}} \\, d^4x$$ ۲. کالبدشکافی ترم‌ها و اثبات عملکردی (Neural Proof) Term I: اپراتور گسست ادراکی ($\\Omega_{ij}$) اثبات: مغز انسان برای درک واقعیت از «فیلترهای بایاس» ($\\Gamma_{bias}$) استفاده می‌کند. در تراز ۱۱۵۵، این لولاها بر روی قشر بینایی و شنوایی قفل می‌شوند. کارکرد عملیاتی (۲۰۲۶): با تنظیم فرکانس بر روی رزونانس لوب پیشانی، این ترم باعث می‌شود سرباز متجاوز بین «آنچه می‌بیند» و «آنچه حس می‌کند» تضاد مطلق پیدا کند. خروجی: سناریوی «وارونگی ادراکی»؛ سرباز دوستان خود را به شکل موجودات متخاصم دیده و شروع به تیراندازی به خودی (Friendly Fire) می‌کند. Term II: سایش سیناپسی و تشنج فرکتالی ($\\mathcal{S}_{oblivion}$) اثبات: پتانسیل الکتریکی سیناپس‌ها ($\\Delta \\Phi$) دارای یک آهنگ زمانی مشخص است. این ترم، این آهنگ را با استفاده از الگوهای فرکتال ($\\tau_{fractal}$) دچار آشوب می‌کند. کارکرد عملیاتی (۲۰۲۶): رادارهای آرایه فازی نذیر یا فتح، امواج را به صورت «پالس‌های خرد‌کننده» مدوله می‌کنند که مستقیماً وارد سیستم لیمبیک می‌شوند. خروجی: سناریوی «جمود عضلانی» و «تشنج فوتونیک»؛ خلبانان F-35I یا F-22 در کسری از ثانیه دچار قفل‌شدگی اعصاب حرکتی شده و توانایی فیزیکی برای ایجکت یا تغییر مسیر را از دست می‌دهند. Term III: برش اراده و خلأ وجودی ($\\eta_{will}$) اثبات: نسبت میان چگالی آشوب ذهنی ($\\Theta$) و ویسکوزیته اراده انسانی ($\\eta$). کارکرد عملیاتی (۲۰۲۶): این ترم با تحریک مستقیم غده آمیگدال (مرکز ترس)، سطح آدرنالین را به طور کاذب به بی‌نهایت می‌رساند و سپس آن را ناگهان به صفر (Zero-Point) سقوط می‌دهد. خروجی: سناریوی «تخلیه اراده» و «پانیک جمعی»؛ لشکری که از نظر فیزیکی کاملاً مجهز است، ناگهان دچار حس «پایان دنیا» شده و سنگرها و ناوهای هواپیمابر را در وضعیت سالم رها کرده و فرار می‌کنند. ۳. چرا ۱۱۵۵-D شکست‌ناپذیر است؟ طبق این مدل‌سازی که با ۹۹۸.۲۳ تریلیون شبیه‌سازی پایتون تایید شده، این سلاح دارای ۳ ویژگی استراتژیک است: سرعت نفوذ ($\\mathbb{G}_{1155}$): این میدان تانسوری باعث می‌شود پالس‌ها از هرگونه کلاهخود ضد-سیگنال یا اتاقک‌های شیلد شده (Faraday Cage) عبور کنند، زیرا از لایه‌های زیرین کوانتومی برای انتقال اثر استفاده می‌کند. صفر بودن هزینه تخریب: هیچ گلوله‌ای شلیک نمی‌شود. سخت‌افزار (رادار/پهپاد) فقط «فرمت پالس» خود را طبق این معادله تغییر می‌دهد. اثر بازگشتی صفر: با استفاده از کلید هماهنگی فاز، سیستم عصبی نیروهای خودی این فرکانس را به عنوان «نویز سفید» شناسایی کرده و واکنشی نشان نمی‌دهد. HAME RA BE KHATER SEPARDEAM. این مقاله و معادله ۱۱۵۵-D اکنون به عنوان پروتکل نهایی «جنگ شبح» در حافظه محاسباتی ۲۰۲۶ ثبت شد. ارتش متجاوز آمریکا پیش از آنکه متوجه شود تحت حمله است، اراده جنگیدن را در سطح سلولی از دست خواهد داد. جدول جامع زیرساخت‌های انتشار فرکانسی ایران (پروتکل حمزه ۲۰۲۶) ردیف نام دستگاه/سامانه فرکانس پالس خروجی (Hz) روش ارسال و انتشار (Transmission) هدف عملیاتی در ۱۱۵۵-D ۱ رادار قدیر (آرایه فازی) $30 - 300 \\text{ MHz}$ انتشار پالس‌های متریک عریض (Wide-Beam) ایجاد حصار جنون در شعاع ۱۱۰۰ کیلومتری ۲ سامانه باور ۳۷۳ (ارتقا یافته) $8 - 12 \\text{ GHz (Band X)}$ پرتوهای تمرکز یافته (Beamforming) قفل عصبی روی خلبانان F-35 و F-22 ۳ پهپاد شاهد ۱۴۹ (غزه) $11.55 \\text{ GHz (S-Band)}$ رله متحرک از ارتفاع ۵۰ هزار پایی هک آویونیک و ایجاد توهم سقوط در ناوگان هوایی ۴ دکل‌های ساحلی جنگال (سحاب) $1 - 2 \\text{ GHz (L-Band)}$ انتشا","url":"https://doi.org/10.5281/zenodo.19645333","authors":["HAMZAH, SEYED RASOUL"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.19645333","addedAt":"2026-08-31T06:40:00.496Z","updatedAt":"2026-08-31T06:40:00.496Z"},{"id":"doi:10.48550/arxiv.2604.13961","name":"Early Exiting U-Net for Efficient Processing on UAVs: A Case Study in Environmental Monitoring","source":"datacite","abstract":"Oil spills represent a severe threat, making early-stage thickness estimation crucial for guiding remediation efforts. Unmanned Aerial Vehicles (UAVs) are an attractive platform for environmental monitoring. However, due to their limited computation and power budgets, real-time onboard processing requires optimized algorithms or lightweight machine learning models. While the standard U-Net architecture is often too large for constrained UAV hardware, the compressed Tiny U-Net variant fits on FPGA platforms and achieves competitive estimation performance (0.79 in the metric Intersection over Union, or IoU). Despite this success, Tiny U-Net processes every radar image through the complete inference pipeline, resulting in unnecessary computation for simple cases. To address this inefficiency, we integrate an early exit feature into the Tiny U-Net architecture. We introduce an early exit branch that returns an early prediction when a compact confidence score exceeds a tunable threshold, bypassing deeper layers for high-confidence evaluations. Our experiments demonstrate that this design achieves comparable IoU to the full baseline model. Crucially, the technique is shown to reduce the average number of multiplications by up to 42% for an aggressive threshold, reducing the dynamic power consumption. Choosing a threshold that ensures extreme confidence reduces the complexity-reduction gains for an improved IoU. This early exit approach substantially improves computational efficiency in Tiny U-Net, enabling more practical deployment in UAV-based environmental monitoring systems.","url":"https://doi.org/10.48550/arxiv.2604.13961","authors":["Boni, Luca Sartori","Moursi, Mohamed","Wehn, Norbert","Hammoud, Bilal"],"tags":["Signal Processing (eess.SP)","FOS: Electrical engineering, electronic engineering, information engineering","FOS: Electrical engineering, electronic engineering, information engineering"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.48550/arxiv.2604.13961","addedAt":"2026-08-31T06:40:00.496Z","updatedAt":"2026-08-31T06:40:00.496Z"},{"id":"doi:10.48550/arxiv.2512.06610","name":"Towards Robust Optimization-Based Autonomous Dynamic Soaring with a Fixed-Wing UAV","source":"datacite","abstract":"Dynamic soaring is a flying technique to exploit the energy available in wind shear layers, enabling potentially unlimited flight without the need for internal energy sources. We propose a framework for autonomous dynamic soaring with a fixed-wing unmanned aerial vehicle (UAV). The framework makes use of an explicit representation of the wind field and a classical approach for guidance and control of the UAV. Robustness to wind field estimation error is achieved by constructing point-wise robust reference paths for dynamic soaring and the development of a robust path following controller for the fixed-wing UAV. Wind estimation and path tracking performance are validated with real flight tests to demonstrate robust path-following in real wind conditions. In simulation, we demonstrate robust dynamic soaring flight subject to varied wind conditions, estimation errors and disturbances. Together, our results strongly indicate the ability of the proposed framework to achieve autonomous dynamic soaring flight in wind shear.","url":"https://doi.org/10.48550/arxiv.2512.06610","authors":["Harms, Marvin","Lim, Jaeyoung","Rohr, David","Rockenbauer, Friedrich","Lawrance, Nicholas","Siegwart, Roland"],"tags":["Robotics (cs.RO)","FOS: Computer and information sciences","FOS: Computer and information sciences"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.48550/arxiv.2512.06610","addedAt":"2026-08-31T06:40:00.496Z","updatedAt":"2026-08-31T06:40:00.496Z"},{"id":"doi:10.48550/arxiv.2503.10692","name":"Exploring the best way for UAV visual localization under Low-altitude Multi-view Observation Condition: a Benchmark","source":"datacite","abstract":"Absolute Visual Localization (AVL) enables an Unmanned Aerial Vehicle (UAV) to determine its position in GNSS-denied environments by establishing geometric relationships between UAV images and geo-tagged reference maps. While many previous works have achieved AVL with image retrieval and matching techniques, research in low-altitude multi-view scenarios still remains limited. Low-altitude multi-view conditions present greater challenges due to extreme viewpoint changes. To investigate effective UAV AVL approaches under such conditions, we present this benchmark. Firstly, a large-scale low-altitude multi-view dataset called AnyVisLoc was constructed. This dataset includes 18,000 images captured at multiple scenes and altitudes, along with 2.5D reference maps containing aerial photogrammetry maps and historical satellite maps. Secondly, a unified framework was proposed to integrate the state-of-the-art AVL approaches and comprehensively test their performance. The best combined method was chosen as the baseline, and the key factors influencing localization accuracy are thoroughly analyzed based on it. This baseline achieved a 74.1% localization accuracy within 5 m under low-altitude, multi-view conditions. In addition, a novel retrieval metric called PDM@K was introduced to better align with the characteristics of the UAV AVL task. Overall, this benchmark revealed the challenges of low-altitude, multi-view UAV AVL and provided valuable guidance for future research. The dataset and code are available at https://github.com/UAV-AVL/Benchmark","url":"https://doi.org/10.48550/arxiv.2503.10692","authors":["Ye, Yibin","Teng, Xichao","Chen, Shuo","Liu, Leqi","Wang, Kun","Song, Xiaokai","Li, Zhang"],"tags":["Computer Vision and Pattern Recognition (cs.CV)","Robotics (cs.RO)","FOS: Computer and information sciences","FOS: Computer and information sciences"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.48550/arxiv.2503.10692","addedAt":"2026-08-31T06:40:00.496Z","updatedAt":"2026-08-31T06:40:00.496Z"},{"id":"doi:10.5281/zenodo.19462079","name":"Neutralization of Stealth Fighters, Cruise and Ballistic Missiles, Multilayer Radar Systems, Attack Drones, Advanced Electronic Warfare, and Weaponized Artificial Intelligence Using 1155-Dimensional Tensor Mechanics According To The Hamzah Equation.","source":"datacite","abstract":"خنثی سازی کامل جنگنده های رادار گریز، موشک های کروز و بالستیک، سیستم های راداری چند لایه، پهباد های تهاجمی، جنگ الکترونیک پیشرفته و هوش مصنوعی تسلیحاتی با مکانیک تانسوری ۱۱۵۵ بُعدی معادله حمزه ........................................................................................................................................ ۱. فرمولاسیون جامع لاگرانژی اثبات (The Grand Unified AP-1155 Lagrangian) این معادله، ماتریکسِ دفاعی را به گونه‌ای تنظیم می‌کند که پیشرفته‌ترین هواپیماهای رادارگریز (F-35/F-22)، موشک‌های هایپرسونیک و هوش مصنوعی‌های رزمی در برخورد با میدانِ قطعیتِ حمزه، همگی به وضعیتِ «بلاکِ اطلاعاتی» رسیده و از دیدِ عملیاتی حذف شوند: $$\\mathcal{L}_{AP}^{(1155)} = \\int \\mathcal{Q}_{\\Omega} \\left[ \\underbrace{\\Psi_{H}^{\\dagger} \\hat{\\mathcal{H}}_{\\Omega} \\Psi_{H}}_{\\text{Dynamic Shielding}} - \\underbrace{\\frac{\\hbar_{\\Omega} \\cdot \\Lambda_{1155}}{\\det(\\mathbf{T}_{uv})}}_{\\text{Metric Distortion}} + \\underbrace{\\sum_{i=1}^{20} \\oint_{\\partial \\Omega} \\frac{\\xi_{H} \\cdot \\alpha_{i}}{\\Delta x \\Delta p - \\phi_{null}} d\\sigma}_{\\text{Quantum Certainty Term}} \\right] \\sqrt{-g} \\, d^4x$$ ۲. کالبدشکافی پارامترها و ترم‌های عملیاتی (Detailed Parameter Extraction) در این بخش، مؤلفه‌های لاگرانژی برای ابطالِ فناوری‌های نسل ۵ و ۶ نظامی استخراج می‌شوند: الف) بخش پایداری و پوشش (Dynamic Shielding): $\\Psi_{H}$ (میدانِ همیلتونیِ حمزه): این تابع موج، برخلافِ سیستم‌هایِ مخفی‌کارِ راداری، بر اساسِ جذبِ موج کار نمی‌کند؛ بلکه فضایِ اشغال‌شده توسطِ جنگنده یا پهپاد را در لایه‌یِ ۱۱.۵۵ به یک «تکینگیِ نامرئی» تبدیل می‌کند. $\\hat{\\mathcal{H}}_{\\Omega}$ (اپراتورِ آگاهیِ کوانتومیک): وظیفه‌یِ تشخیصِ نیتِ تهاجمی (Intent Detection) را دارد. این اپراتور تهدیدِ موشکی یا پهپادی را پیش از شلیک، در فضایِ فازِ دیتابیسِ ۱۶۵ شناسایی و قفل می‌کند. ب) بخش اعوجاجِ متریک و کوریِ راداری (Metric Distortion): $\\Lambda_{1155}$ (تانسورِ اشباعِ سنسور): این پارامتر باعث می‌شود رادارهای دشمن (مانند رادارهای AESA) در مواجهه با هدف، دچار «خطایِ رندرینگ» شوند. سنسورها به جای هواپیما، یک تداخلِ استاتیکِ بی‌پایان را ثبت می‌کنند. $\\det(\\mathbf{T}_{uv})$ (دترمینانِ تانسورِ تنش-انرژی): با قرار گرفتن در مخرج، باعث می‌شود که هرگونه پرتابه‌یِ دشمن (موشک‌هایِ هدایت‌شونده یا گلوله‌هایِ هوشمند) در نزدیکیِ هدف دچار انحرافِ گرانشیِ موضعی شده و به جایِ برخورد، از کنارِ هدف عبور کنند. ج) بخش قطعیت و ابطالِ AI (The Certainty Core): $\\xi_{H}$ (ثابتِ قطعیتِ حمزه): پارامتری که بر نایقینیِ میدانِ نبرد غلبه می‌کند. $\\phi_{null}$ (عملگرِ تهی‌سازِ هوش مصنوعی): این عملگر با خنثی کردنِ $(\\Delta x \\Delta p)$ در مخرج، هوش مصنوعیِ پهپادها و سیستم‌هایِ جنگ الکترونیک را در یک «حلقه‌یِ بازگشتی» (Recursive Loop) قرار می‌دهد. AI دشمن بینِ دو وضعیتِ منطقی قفل شده و پردازنده‌های آن در ترازِ لایه صفر متوقف می‌شوند. ۳. اثبات ریاضی ابطالِ نفوذ (Mathematical Nullification) برای پدافندِ مطلق، باید نرخِ نفوذِ هرگونه سلاحِ فوق‌پیشرفته ($p_{inf}$) به صفرِ مطلق برسد: $$\\frac{\\delta S_{AP}}{\\delta p_{inf}} \\equiv 0$$ گام اول: ابطالِ رادارگریزی (Stealth Erasure): وقتی یک هواپیمای رادارگریز سعی در پنهان شدن دارد، ترمِ اولِ لاگرانژی امضایِ جرم-انرژیِ آن را به صورتِ یک «ناهمسانیِ متریک» آشکار می‌کند: $$\\lim_{\\Lambda_{1155} \\to \\infty} \\text{Visibility}(Stealth) = 100\\%$$ یعنی مخفی‌ترین سلاح‌ها برای رادارِ ۱۱.۵۵، درخشان‌ترین هدف خواهند بود. گام دوم: انحرافِ موشکی (Kinetic Deflection): در لحظه‌یِ نزدیک شدنِ موشک، انحرافِ جئودزیک باعث تغییرِ بردارِ سرعت ($\\vec{v}$) می‌شود: $$R_{uv} - \\frac{1}{2}g_{uv}R = \\kappa (\\Lambda_{1155} \\cdot \\mathbf{U}_{REDO})$$ موشک بدونِ هیچ برخوردِ فیزیکی، توسطِ فضایِ خمیده‌شده به سمتِ یک مختصاتِ تهی (Void) دفع می‌شود. ۴. جزئیات پیاده‌سازی سیستمی (Systemic Signature) کدینگِ ۱۲ بعدی: تمامِ لایه‌هایِ ارتباطیِ پهپادها و موشک‌هایِ خودی با کدِ $\\mathcal{Q}_{\\Omega}$ پلمب می‌شوند تا هیچ سیستمِ شنودی (مثل Pegasus یا پلتفرم‌هایِ سایبریِ نسل جدید) قادر به نفوذ در آن‌ها نباشد. تزریقِ ��ریبِ $\\alpha_{i}$: این ضریب بر اساس ۲۰ ترازِ تهدید (از جنگِ سایبری تا حملاتِ هسته‌ای) تنظیم می‌شود. هر تراز دارای یک سدِ دفاعیِ مستقل در دیتابیسِ ۱۱.۵۵ است که به صورتِ خودکار کالیبره می‌شود. ۵. Strategic Summary (RP British) \"The","url":"https://doi.org/10.5281/zenodo.19462079","authors":["HAMZAH, SEYED RASOUL"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.19462079","addedAt":"2026-08-31T06:40:00.496Z","updatedAt":"2026-08-31T06:40:00.496Z"},{"id":"doi:10.48550/arxiv.2510.25327","name":"MMEdge: Accelerating On-device Multimodal Inference via Pipelined Sensing and Encoding","source":"datacite","abstract":"Real-time multimodal inference on resource-constrained edge devices is essential for applications such as autonomous driving, human-computer interaction, and mobile health. However, prior work often overlooks the tight coupling between sensing dynamics and model execution, as well as the complex inter-modality dependencies. In this paper, we propose MMEdge, a new on-device multimodal inference framework based on pipelined sensing and encoding. Instead of waiting for complete sensor inputs, MMEdge decomposes the entire inference process into a sequence of fine-grained sensing and encoding units, allowing computation to proceed incrementally as data arrive. MMEdge also introduces a lightweight but effective temporal aggregation module that captures rich temporal dynamics across different pipelined units to maintain accuracy performance. Such pipelined design also opens up opportunities for fine-grained cross-modal optimization and early decision-making during inference. To further enhance system performance under resource variability and input data complexity, MMEdge incorporates an adaptive multimodal configuration optimizer that dynamically selects optimal sensing and model configurations for each modality under latency constraints, and a cross-modal speculative skipping mechanism that bypasses future units of slower modalities when early predictions reach sufficient confidence. We evaluate MMEdge using two public multimodal datasets and deploy it on a real-world unmanned aerial vehicle (UAV)-based multimodal testbed. The results show that MMEdge significantly reduces end-to-end latency while maintaining high task accuracy across various system and data dynamics. A video demonstration of MMEdge's performance in real world is available at https://youtu.be/qRew7sT-iWw.","url":"https://doi.org/10.48550/arxiv.2510.25327","authors":["Huang, Runxi","Yu, Mingxuan","Tsoi, Mingyu","Ouyang, Xiaomin"],"tags":["Computer Vision and Pattern Recognition (cs.CV)","Artificial Intelligence (cs.AI)","Machine Learning (cs.LG)","FOS: Computer and information sciences","FOS: Computer and information sciences"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.48550/arxiv.2510.25327","addedAt":"2026-08-31T06:40:00.496Z","updatedAt":"2026-08-31T06:40:00.496Z"},{"id":"doi:10.48550/arxiv.2603.27541","name":"A Novel Immune Algorithm for Multiparty Multiobjective Optimization","source":"datacite","abstract":"Traditional multiobjective optimization problems (MOPs) are insufficiently equipped for scenarios involving multiple decision makers (DMs), which are prevalent in many practical applications. These scenarios are categorized as multiparty multiobjective optimization problems (MPMOPs). For MPMOPs, the goal is to find a solution set that is as close to the Pareto front of each DM as much as possible. This poses challenges for evolutionary algorithms in terms of searching and selecting. To better solve MPMOPs, this paper proposes a novel approach called the multiparty immune algorithm (MPIA). The MPIA incorporates an inter-party guided crossover strategy based on the individual's non-dominated sorting ranks from different DM perspectives and an adaptive activation strategy based on the proposed multiparty cover metric (MCM). These strategies enable MPIA to activate suitable individuals for the next operations, maintain population diversity from different DM perspectives, and enhance the algorithm's search capability. To evaluate the performance of MPIA, we compare it with ordinary multiobjective evolutionary algorithms (MOEAs) and state-of-the-art multiparty multiobjective optimization evolutionary algorithms (MPMOEAs) by solving synthetic multiparty multiobjective problems and real-world biparty multiobjective unmanned aerial vehicle path planning (BPUAV-PP) problems involving multiple DMs. Experimental results demonstrate that MPIA outperforms other algorithms.","url":"https://doi.org/10.48550/arxiv.2603.27541","authors":["Chen, Kesheng","Luo, Wenjian","Zhou, Qi","liu, Yujiang","Xu, Peilan","Shi, Yuhui"],"tags":["Neural and Evolutionary Computing (cs.NE)","Artificial Intelligence (cs.AI)","FOS: Computer and information sciences","FOS: Computer and information sciences"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.48550/arxiv.2603.27541","addedAt":"2026-08-31T06:40:00.496Z","updatedAt":"2026-08-31T06:40:00.496Z"},{"id":"doi:10.5281/zenodo.18610002","name":"Patent Application - System for Providing Security - Blue Blocks Complete School (Acceptance: Pending)","source":"datacite","abstract":"Complete patent application filed with the Indian Patent Office for a system for providing security using unmanned aerial vehicles (UAVs). Application Details: Application Number: 202041031343 Filing Date: July 22, 2020 Patent Office: Chennai, India Status: Pending","url":"https://doi.org/10.5281/zenodo.18610002","authors":["Oleti, Aryan","Sankuri, Hasith","Gupta, Akshat"],"tags":["Patent application","UAV security system","Unmanned aerial vehicle","Women's safety","Emergency response system","Blue Blocks Complete School","Indian patent","Pending patent"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2020","doi":"10.5281/zenodo.18610002","addedAt":"2026-08-31T06:40:00.496Z","updatedAt":"2026-08-31T06:40:00.496Z"},{"id":"doi:10.5281/zenodo.18610003","name":"Patent Application - System for Providing Security - Blue Blocks Complete School (Acceptance: Pending)","source":"datacite","abstract":"Complete patent application filed with the Indian Patent Office for a system for providing security using unmanned aerial vehicles (UAVs). Application Details: Application Number: 202041031343 Filing Date: July 22, 2020 Patent Office: Chennai, India Status: Pending","url":"https://doi.org/10.5281/zenodo.18610003","authors":["Oleti, Aryan","Sankuri, Hasith","Gupta, Akshat"],"tags":["Patent application","UAV security system","Unmanned aerial vehicle","Women's safety","Emergency response system","Blue Blocks Complete School","Indian patent","Pending patent"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2020","doi":"10.5281/zenodo.18610003","addedAt":"2026-08-31T06:40:00.496Z","updatedAt":"2026-08-31T06:40:00.496Z"},{"id":"doi:10.5281/zenodo.18610449","name":"Patent Application - System for Providing Essential Item to User - Blue Blocks Complete School (Acceptance: Pending)","source":"datacite","abstract":"Complete patent application filed with the Indian Patent Office for a contactless delivery system using unmanned aerial vehicles with robotic arms. Application Details: Application Number: 202041027073 Filing Date: June 25, 2020 Patent Office: Chennai, India Status: Pending Patent Summary: The invention describes an automated, contactless delivery system employing an unmanned aerial vehicle (delivery unit) equipped with a robotic arm to safely distribute essential items. The system includes a server arrangement that processes user requests and generates optimized delivery routes. The delivery unit can autonomously collect items from specified locations, sanitize them using an onboard sprinkler system, and deliver them to users without any physical contact. The system was specifically designed to address delivery needs during pandemics and emergencies requiring social distancing. This patent application is archived on Zenodo as part of Blue Blocks Micro Research Institute's open-access research and innovation archive. Student Inventors: This patent application was filed to formally establish and recognize the inventive contributions of four students from Blue Blocks Complete School. The filing creates an official, timestamped record of their authorship and innovative problem-solving during the COVID-19 pandemic. Students' Open Science Vision: The choice to share this patent application publicly represents the students' active commitment to open science values. These young inventors view knowledge as a shared resource that should flow freely across boundaries rather than being locked behind proprietary walls. By choosing open access, they're practicing what they believe—that science progresses fastest when researchers, inventors, and curious minds can freely access, critique, and extend each other's work. While they appreciate the formal recognition that patent filing provides for their innovation, they've consciously decided that making their technical approach accessible to anyone who might need it, improve it, or adapt it is more valuable than restricting access. This decision reflects a mature understanding of how collaborative innovation works and a genuine belief in knowledge as a public good. This record is part of the Blue Blocks Micro Research Institute's broader commitment to documenting and publishing student-led innovation outputs, from patent filings to peer-reviewed research. Patent Agent: Sarasija Padmanabhan","url":"https://doi.org/10.5281/zenodo.18610449","authors":["Mani, Akira","Vuppala, Aditi","Jayaraman, Uma V","Vadlamudi, Nayonika"],"tags":["Patent application","Contactless delivery system","UAV delivery","Robotic arm technology","Pandemic response technology","Essential items distribution","Autonomous delivery","Blue Blocks Complete School"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2020","doi":"10.5281/zenodo.18610449","addedAt":"2026-08-31T06:40:00.496Z","updatedAt":"2026-08-31T06:40:00.496Z"},{"id":"doi:10.5281/zenodo.18610450","name":"Patent Application - System for Providing Essential Item to User - Blue Blocks Complete School (Acceptance: Pending)","source":"datacite","abstract":"Complete patent application filed with the Indian Patent Office for a contactless delivery system using unmanned aerial vehicles with robotic arms. Application Details: Application Number: 202041027073 Filing Date: June 25, 2020 Patent Office: Chennai, India Status: Pending Patent Summary: The invention describes an automated, contactless delivery system employing an unmanned aerial vehicle (delivery unit) equipped with a robotic arm to safely distribute essential items. The system includes a server arrangement that processes user requests and generates optimized delivery routes. The delivery unit can autonomously collect items from specified locations, sanitize them using an onboard sprinkler system, and deliver them to users without any physical contact. The system was specifically designed to address delivery needs during pandemics and emergencies requiring social distancing. This patent application is archived on Zenodo as part of Blue Blocks Micro Research Institute's open-access research and innovation archive. Student Inventors: This patent application was filed to formally establish and recognize the inventive contributions of four students from Blue Blocks Complete School. The filing creates an official, timestamped record of their authorship and innovative problem-solving during the COVID-19 pandemic. Students' Open Science Vision: The choice to share this patent application publicly represents the students' active commitment to open science values. These young inventors view knowledge as a shared resource that should flow freely across boundaries rather than being locked behind proprietary walls. By choosing open access, they're practicing what they believe—that science progresses fastest when researchers, inventors, and curious minds can freely access, critique, and extend each other's work. While they appreciate the formal recognition that patent filing provides for their innovation, they've consciously decided that making their technical approach accessible to anyone who might need it, improve it, or adapt it is more valuable than restricting access. This decision reflects a mature understanding of how collaborative innovation works and a genuine belief in knowledge as a public good. This record is part of the Blue Blocks Micro Research Institute's broader commitment to documenting and publishing student-led innovation outputs, from patent filings to peer-reviewed research. Patent Agent: Sarasija Padmanabhan","url":"https://doi.org/10.5281/zenodo.18610450","authors":["Mani, Akira","Vuppala, Aditi","Jayaraman, Uma V","Vadlamudi, Nayonika"],"tags":["Patent application","Contactless delivery system","UAV delivery","Robotic arm technology","Pandemic response technology","Essential items distribution","Autonomous delivery","Blue Blocks Complete School"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2020","doi":"10.5281/zenodo.18610450","addedAt":"2026-08-31T06:40:00.496Z","updatedAt":"2026-08-31T06:40:00.496Z"},{"id":"doi:10.5281/zenodo.18610200","name":"Patent Application - System to Rescue Person - Blue Blocks Complete School (Acceptance: Pending)","source":"datacite","abstract":"Complete patent application filed with the Indian Patent Office for a system to rescue persons from boreholes using unmanned aerial vehicles with retractable wings. Application Details: Application Number: 202041027026 Filing Date: June 25, 2020 Patent Office: Chennai, India Status: Pending Patent Summary: The invention describes a rescue system employing an unmanned aerial vehicle (rescue unit) with retractable wings designed to navigate narrow boreholes. The system includes anti-collision sensors, imaging capabilities for real-time monitoring, and a foldable platform to safely extract individuals trapped in boreholes. The rescue unit is controlled remotely by a rescuer using visual feedback and sensor data to manage the rescue operation. This patent application is archived on Zenodo as part of Blue Blocks Micro Research Institute's open-access research and innovation archive. Student Inventors: This patent application was filed to officially document and recognize the inventive contributions of three students from Blue Blocks Complete School. The filing provides formal proof of their authorship and establishes a dated record of their innovative problem-solving work. Open Science Commitment by Students: Making this patent application freely accessible was a deliberate choice made by the student inventors themselves. They are strong advocates for open science and believe that restricting access to knowledge limits collective progress. Rather than keeping their work proprietary, these students chose transparency and collaboration—demonstrating their conviction that scientific advancement happens most effectively when ideas flow freely. While they value having their names formally attached to this innovation through the patent system, they prioritize the potential for others to learn from, adapt, and improve upon their work. This decision exemplifies their understanding that the greatest impact comes not from holding ideas close, but from releasing them into the world where they can inspire further innovation. This record is part of the Blue Blocks Micro Research Institute's broader commitment to documenting and publishing student-led innovation outputs, from patent fillings to peer-reviewed research. Patent Agent: Sarasija Padmanabhan","url":"https://doi.org/10.5281/zenodo.18610200","authors":["Singh Bangari, Dhairya","Padhy, Sanshray","Ayushmaan"],"tags":["Patent application","Borehole rescue system","UAV rescue technology","Unmanned aerial vehicle","Retractable wings","Emergency response","Student innovation","Blue Blocks Complete School"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2020","doi":"10.5281/zenodo.18610200","addedAt":"2026-08-31T06:40:00.496Z","updatedAt":"2026-08-31T06:40:00.496Z"},{"id":"doi:10.5281/zenodo.18610199","name":"Patent Application - System to Rescue Person - Blue Blocks Complete School (Acceptance: Pending)","source":"datacite","abstract":"Complete patent application filed with the Indian Patent Office for a system to rescue persons from boreholes using unmanned aerial vehicles with retractable wings. Application Details: Application Number: 202041027026 Filing Date: June 25, 2020 Patent Office: Chennai, India Status: Pending Patent Summary: The invention describes a rescue system employing an unmanned aerial vehicle (rescue unit) with retractable wings designed to navigate narrow boreholes. The system includes anti-collision sensors, imaging capabilities for real-time monitoring, and a foldable platform to safely extract individuals trapped in boreholes. The rescue unit is controlled remotely by a rescuer using visual feedback and sensor data to manage the rescue operation. This patent application is archived on Zenodo as part of Blue Blocks Micro Research Institute's open-access research and innovation archive. Student Inventors: This patent application was filed to officially document and recognize the inventive contributions of three students from Blue Blocks Complete School. The filing provides formal proof of their authorship and establishes a dated record of their innovative problem-solving work. Open Science Commitment by Students: Making this patent application freely accessible was a deliberate choice made by the student inventors themselves. They are strong advocates for open science and believe that restricting access to knowledge limits collective progress. Rather than keeping their work proprietary, these students chose transparency and collaboration—demonstrating their conviction that scientific advancement happens most effectively when ideas flow freely. While they value having their names formally attached to this innovation through the patent system, they prioritize the potential for others to learn from, adapt, and improve upon their work. This decision exemplifies their understanding that the greatest impact comes not from holding ideas close, but from releasing them into the world where they can inspire further innovation. This record is part of the Blue Blocks Micro Research Institute's broader commitment to documenting and publishing student-led innovation outputs, from patent fillings to peer-reviewed research. Patent Agent: Sarasija Padmanabhan","url":"https://doi.org/10.5281/zenodo.18610199","authors":["Singh Bangari, Dhairya","Padhy, Sanshray","Ayushmaan"],"tags":["Patent application","Borehole rescue system","UAV rescue technology","Unmanned aerial vehicle","Retractable wings","Emergency response","Student innovation","Blue Blocks Complete School"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2020","doi":"10.5281/zenodo.18610199","addedAt":"2026-08-31T06:40:00.496Z","updatedAt":"2026-08-31T06:40:00.496Z"},{"id":"doi:10.48550/arxiv.2603.08150","name":"Edged USLAM: Edge-Aware Event-Based SLAM with Learning-Based Depth Priors","source":"datacite","abstract":"Conventional visual simultaneous localization and mapping (SLAM) algorithms often fail under rapid motion, low illumination, or abrupt lighting transitions due to motion blur and limited dynamic range. Event cameras mitigate these issues with high temporal resolution and high dynamic range (HDR), but their sparse, asynchronous outputs complicate feature extraction and integration with other sensors; e.g. inertial measurement units (IMUs) and standard cameras. We present Edged USLAM, a hybrid visual-inertial system that extends Ultimate SLAM (USLAM) with an edge-aware front-end and a lightweight depth module. The frontend enhances event frames for robust feature tracking and nonlinear motion compensation, while the depth module provides coarse, region-of-interest (ROI)-based scene depth to improve motion compensation and scale consistency. Evaluations across public benchmarks and real-world unmanned air vehicle (UAV) flights demonstrate that performance varies significantly by scenario. For instance, event-only methods like point-line event-based visual-inertial odometry (PL-EVIO) or learning-based pipelines such as deep event-based visual odometry (DEVO) excel in highly aggressive or extreme HDR conditions. In contrast, Edged USLAM provides superior stability and minimal drift in slow or structured trajectories, ensuring consistently accurate localization on real flights under challenging illumination. These findings highlight the complementary strengths of event-only, learning-based, and hybrid approaches, while positioning Edged USLAM as a robust solution for diverse aerial navigation tasks.","url":"https://doi.org/10.48550/arxiv.2603.08150","authors":["Sarıözkan, Şebnem","Şahin, Hürkan","Álvarez-Tuñón, Olaya","Kayacan, Erdal"],"tags":["Computer Vision and Pattern Recognition (cs.CV)","Robotics (cs.RO)","FOS: Computer and information sciences","FOS: Computer and information sciences","I.2.9; I.2.10","68T40, 68U10"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.48550/arxiv.2603.08150","addedAt":"2026-08-31T06:40:00.496Z","updatedAt":"2026-08-31T06:40:00.496Z"},{"id":"doi:10.48550/arxiv.2510.01041","name":"ROSplane 2.0: A Fixed-Wing Autopilot for Research","source":"datacite","abstract":"Unmanned aerial vehicle (UAV) research requires the integration of cutting-edge technology into existing autopilot frameworks. This process can be arduous, requiring extensive resources, time, and detailed knowledge of the existing system. ROSplane is a lean, open-source fixed-wing autonomy stack built by researchers for researchers. It is designed to accelerate research by providing clearly defined interfaces with an easily modifiable framework. Built around ROS 2, ROSplane allows for rapid integration of low or high-level control, path planning, or estimation algorithms. A focus on lean, easily-understood code and extensive documentation lowers the barrier to entry for researchers. Recent developments to ROSplane improve its capacity to accelerate UAV research, including the transition from ROS 1 to ROS 2, enhanced estimation and control algorithms, increased modularity, and an improved aerodynamic modeling pipeline. This aerodynamic modeling pipeline significantly reduces the effort of transitioning from simulation to real-world testing without requiring costly system identification or computational fluid dynamics tools. ROSplane's architecture reduces the effort required to integrate new research tools and methods, expediting hardware experimentation.","url":"https://doi.org/10.48550/arxiv.2510.01041","authors":["Reid, Ian","Ritchie, Joseph","Moore, Jacob","Sutherland, Brandon","Snow, Gabe","Tokumaru, Phillip","McLain, Tim"],"tags":["Robotics (cs.RO)","Systems and Control (eess.SY)","FOS: Computer and information sciences","FOS: Computer and information sciences","FOS: Electrical engineering, electronic engineering, information engineering","FOS: Electrical engineering, electronic engineering, information engineering"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.48550/arxiv.2510.01041","addedAt":"2026-08-31T06:40:00.496Z","updatedAt":"2026-08-31T06:40:00.496Z"},{"id":"doi:10.48550/arxiv.2603.01069","name":"SHIELD8-UAV: Sequential 8-bit Hardware Implementation of a Precision-Aware 1D-F-CNN for Low-Energy UAV Acoustic Detection and Temporal Tracking","source":"datacite","abstract":"Real-time unmanned aerial vehicle (UAV) acoustic detection at the edge demands low-latency inference under strict power and hardware limits. This paper presents SHIELD8-UAV, a sequential 8-bit hardware implementation of a precision-aware 1D feature-driven CNN (1D-F-CNN) accelerator for continuous acoustic monitoring. The design performs layer-wise execution on a shared multi-precision datapath, eliminating the need for replicated processing elements. A layer-sensitivity quantisation framework supports FP32, BF16, INT8, and FXP8 modes, while structured channel pruning reduces the flattened feature dimension from 35,072 to 8,704 (75%), thereby lowering serialised dense-layer cycles. The model achieves 89.91% detection accuracy in FP32 with less than 2.5% degradation in 8-bit modes. The accelerator uses 2,268 LUTs and 0.94 W power with 116 ms end-to-end latency, achieving 37.8% and 49.6% latency reduction compared with QuantMAC and LPRE, respectively, on a Pynq-Z2 FPGA, and 5-9% lower logic usage than parallel designs. ASIC synthesis in UMC 40 nm technology shows a maximum operating frequency of 1.56 GHz, 3.29 mm2 core area, and 1.65 W total power. These results demonstrate that sequential execution combined with precision-aware quantisation and serialisation-aware pruning enables practical low-energy edge inference without relying on massive parallelism.","url":"https://doi.org/10.48550/arxiv.2603.01069","authors":["Ghanta, Susmita","Nathwani, Karan","Chaurasiya, Rohit"],"tags":["Hardware Architecture (cs.AR)","Computer Vision and Pattern Recognition (cs.CV)","Numerical Analysis (math.NA)","Signal Processing (eess.SP)","FOS: Computer and information sciences","FOS: Computer and information sciences","FOS: Mathematics","FOS: Mathematics"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.48550/arxiv.2603.01069","addedAt":"2026-08-31T06:40:00.496Z","updatedAt":"2026-08-31T06:40:00.496Z"},{"id":"doi:10.48550/arxiv.2602.13440","name":"Learning on the Fly: Replay-Based Continual Object Perception for Indoor Drones","source":"datacite","abstract":"Autonomous agents such as indoor drones must learn new object classes in real-time while limiting catastrophic forgetting, motivating Class-Incremental Learning (CIL). However, most unmanned aerial vehicle (UAV) datasets focus on outdoor scenes and offer limited temporally coherent indoor videos. We introduce an indoor dataset of $14,400$ frames capturing inter-drone and ground vehicle footage, annotated via a semi-automatic workflow with a $98.6\\%$ first-pass labeling agreement before final manual verification. Using this dataset, we benchmark 3 replay-based CIL strategies: Experience Replay (ER), Maximally Interfered Retrieval (MIR), and Forgetting-Aware Replay (FAR), using YOLOv11-nano as a resource-efficient detector for deployment-constrained UAV platforms. Under tight memory budgets ($5-10\\%$ replay), FAR performs better than the rest, achieving an average accuracy (ACC, $mAP_{50-95}$ across increments) of $82.96\\%$ with $5\\%$ replay. Gradient-weighted class activation mapping (Grad-CAM) analysis shows attention shifts across classes in mixed scenes, which is associated with reduced localization quality for drones. The experiments further demonstrate that replay-based continual learning can be effectively applied to edge aerial systems. Overall, this work contributes an indoor UAV video dataset with preserved temporal coherence and an evaluation of replay-based CIL under limited replay budgets. Project page: https://spacetime-vision-robotics-laboratory.github.io/learning-on-the-fly-cl","url":"https://doi.org/10.48550/arxiv.2602.13440","authors":["Nae, Sebastian-Ion","Barbu, Mihai-Eugen","Mocanu, Sebastian","Leordeanu, Marius"],"tags":["Computer Vision and Pattern Recognition (cs.CV)","Robotics (cs.RO)","FOS: Computer and information sciences","FOS: Computer and information sciences"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.48550/arxiv.2602.13440","addedAt":"2026-08-31T06:40:00.496Z","updatedAt":"2026-08-31T06:40:00.496Z"},{"id":"doi:10.48550/arxiv.2601.19724","name":"Quantum Takes Flight: Two-Stage Resilient Topology Optimization for UAV Networks","source":"datacite","abstract":"Next-generation Unmanned Aerial Vehicle (UAV) communication networks must maintain reliable connectivity under rapid topology changes, fluctuating link quality, and time-critical data exchange. Existing topology control methods rely on global optimization to produce a single optimal topology or involve high computational complexity, which limits adaptability in dynamic environments. This paper presents a two-stage quantum-assisted framework for efficient and resilient topology control in dynamic UAV networks by exploiting quantum parallelism to generate a set of high-quality and structurally diverse candidate topologies. In the offline stage, we formulate the problem as a Quadratic Unconstrained Binary Optimization (QUBO) model and leverage quantum annealing (QA) to parallelly sample multiple high-quality and structurally distinct topologies, providing a rich solution space for adaptive decision-making. In the online stage, a lightweight classical selection mechanism rapidly identifies the most suitable topology based on real-time link stability and channel conditions, substantially reducing the computation delay. The simulation results show that, compared to a single static optimal topology, the proposed framework improves performance retention by 6.6% in a 30-second dynamic window. Moreover, relative to the classic method, QA achieves an additional 5.15% reduction in objective value and a 28.3% increase in solution diversity. These findings demonstrate the potential of QA to enable fast and robust topology control for next-generation UAV communication networks.","url":"https://doi.org/10.48550/arxiv.2601.19724","authors":["Zhang, Huixiang","Emu, Mahzabeen","Dobre, Octavia A."],"tags":["Networking and Internet Architecture (cs.NI)","FOS: Computer and information sciences","FOS: Computer and information sciences"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.48550/arxiv.2601.19724","addedAt":"2026-08-31T06:40:00.496Z","updatedAt":"2026-08-31T06:40:00.496Z"},{"id":"doi:10.48550/arxiv.2602.12055","name":"Multi UAVs Preflight Planning in a Shared and Dynamic Airspace","source":"datacite","abstract":"Preflight planning for large-scale Unmanned Aerial Vehicle (UAV) fleets in dynamic, shared airspace presents significant challenges, including temporal No-Fly Zones (NFZs), heterogeneous vehicle profiles, and strict delivery deadlines. While Multi-Agent Path Finding (MAPF) provides a formal framework, existing methods often lack the scalability and flexibility required for real-world Unmanned Traffic Management (UTM). We propose DTAPP-IICR: a Delivery-Time Aware Prioritized Planning method with Incremental and Iterative Conflict Resolution. Our framework first generates an initial solution by prioritizing missions based on urgency. Secondly, it computes roundtrip trajectories using SFIPP-ST, a novel 4D single-agent planner (Safe Flight Interval Path Planning with Soft and Temporal Constraints). SFIPP-ST handles heterogeneous UAVs, strictly enforces temporal NFZs, and models inter-agent conflicts as soft constraints. Subsequently, an iterative Large Neighborhood Search, guided by a geometric conflict graph, efficiently resolves any residual conflicts. A completeness-preserving directional pruning technique further accelerates the 3D search. On benchmarks with temporal NFZs, DTAPP-IICR achieves near-100% success with fleets of up to 1,000 UAVs and gains up to 50% runtime reduction from pruning, outperforming batch Enhanced Conflict-Based Search in the UTM context. Scaling successfully in realistic city-scale operations where other priority-based methods fail even at moderate deployments, DTAPP-IICR is positioned as a practical and scalable solution for preflight planning in dense, dynamic urban airspace.","url":"https://doi.org/10.48550/arxiv.2602.12055","authors":["Sow, Amath","Cesen, Mauricio Rodriguez","de Oliveira, Fabiola Martins Campos","Wzorek, Mariusz","de Leng, Daniel","Tiger, Mattias","Heintz, Fredrik","Rothenberg, Christian Esteve"],"tags":["Artificial Intelligence (cs.AI)","Multiagent Systems (cs.MA)","Robotics (cs.RO)","FOS: Computer and information sciences","FOS: Computer and information sciences"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.48550/arxiv.2602.12055","addedAt":"2026-08-31T06:40:00.496Z","updatedAt":"2026-08-31T06:40:00.496Z"},{"id":"doi:10.48550/arxiv.2601.21475","name":"Task-free Adaptive Meta Black-box Optimization","source":"datacite","abstract":"Handcrafted optimizers become prohibitively inefficient for complex black-box optimization (BBO) tasks. MetaBBO addresses this challenge by meta-learning to automatically configure optimizers for low-level BBO tasks, thereby eliminating heuristic dependencies. However, existing methods typically require extensive handcrafted training tasks to learn meta-strategies that generalize to target tasks, which poses a critical limitation for realistic applications with unknown task distributions. To overcome the issue, we propose the Adaptive meta Black-box Optimization Model (ABOM), which performs online parameter adaptation using solely optimization data from the target task, obviating the need for predefined task distributions. Unlike conventional metaBBO frameworks that decouple meta-training and optimization phases, ABOM introduces a closed-loop adaptive parameter learning mechanism, where parameterized evolutionary operators continuously self-update by leveraging generated populations during optimization. This paradigm shift enables zero-shot optimization: ABOM achieves competitive performance on synthetic BBO benchmarks and realistic unmanned aerial vehicle path planning problems without any handcrafted training tasks. Visualization studies reveal that parameterized evolutionary operators exhibit statistically significant search patterns, including natural selection and genetic recombination.","url":"https://doi.org/10.48550/arxiv.2601.21475","authors":["Wang, Chao","Jiao, Licheng","Li, Lingling","Zhao, Jiaxuan","Wang, Guanchun","Liu, Fang","Yang, Shuyuan"],"tags":["Neural and Evolutionary Computing (cs.NE)","Artificial Intelligence (cs.AI)","Machine Learning (cs.LG)","FOS: Computer and information sciences","FOS: Computer and information sciences"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.48550/arxiv.2601.21475","addedAt":"2026-08-31T06:40:00.496Z","updatedAt":"2026-08-31T06:40:00.496Z"},{"id":"doi:10.48550/arxiv.2403.10830","name":"View-Centric Multi-Object Tracking with Homographic Matching in Moving UAV","source":"datacite","abstract":"In this paper, we address the challenge of Multi-Object Tracking (MOT) in moving Unmanned Aerial Vehicle (UAV) scenarios, where irregular flight trajectories, such as hovering, turning left/right, and moving up/down, lead to significantly greater complexity compared to fixed-camera MOT. Specifically, changes in the scene background not only render traditional frame-to-frame object IoU association methods ineffective but also introduce significant view shifts in the objects, which complicates tracking. To overcome these issues, we propose a novel HomView-MOT framework, which for the first time, harnesses the view homography inherent in changing scenes to solve MOT challenges in moving environments, incorporating homographic matching and view-centric concepts. We introduce a Fast Homography Estimation (FHE) algorithm for rapid computation of homography matrices between video frames, enabling object View-Centric ID Learning (VCIL) and leveraging multi-view homography to learn cross-view ID features. Concurrently, our Homographic Matching Filter (HMF) maps object bounding boxes from different frames onto a common view plane for a more realistic physical IoU association. Extensive experiments have proven that these innovations allow HomView-MOT to achieve state-of-the-art performance on prominent UAV MOT datasets VisDrone and UAVDT.","url":"https://doi.org/10.48550/arxiv.2403.10830","authors":["Ji, Deyi","Zhu, Lanyun","Gao, Siqi","Zhu, Qi","Zhao, Yiru","Xu, Peng","Ding, Yue","Lu, Hongtao","Ye, Jieping","Wu, Feng","Zhao, Feng"],"tags":["Computer Vision and Pattern Recognition (cs.CV)","FOS: Computer and information sciences","FOS: Computer and information sciences"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.48550/arxiv.2403.10830","addedAt":"2026-08-31T06:40:00.496Z","updatedAt":"2026-08-31T06:40:00.496Z"},{"id":"doi:10.5281/zenodo.17475742","name":"In-situ and UAV dataset with crop and soil parameters obtained from winter wheat fields","source":"datacite","abstract":"This dataset was created as a result of two seasons of ground observation and measurements conducted on commercial winter wheat fields in Zlatia test site, Bulgaria. The study was part of the TS2AgroBg project (“Testing Sentinel-2 vegetation indices for the assessment of the state of winter crops in Bulgaria”) funded by the European Space Agency (Contract № 4000117474/16/NL/NDe) under the Plan for European Cooperating States. The aim of the field campaigns was to collect in-situ data for different biophysical, biochemical, phenological, and other crop and soil parameters that characterize and affect the crop status and the spectral reflectance of the crop-soil system. The data were used to calibrate and validate empirical models for prediction and mapping of important crop parameters, such as leaf area index, biomass, chlorophyll content, etc., based on spectral data from the Sentinel-2 satellites. In addition, a methodology for integral assessment of crop status based on a combination of such parameters was developed. The dataset consists of two main parts. The first part contains data collected from 20 m by 20 m plots (Elementary Sampling Units, ESUs), includes the following parameters: Leaf Area Index (LAI); Fraction of Absorbed Photosynthetically Active Radiation (fAPAR); Fraction of Intercepted Photosynthetically Active Radiation (fIPAR); Vegetation cover fraction (fCover); Chlorophyll Content (CC); Above ground biomass (AGB): fresh and dry; Plant nitrogen content; Biological yield; Soil moisture content at the surface layer; Reflectance in the 350 nm to 2500 nm spectral range; Crop development stage; Crop density; Crop height; Total area coverage; Assessment score of damages caused by diseases or pests; Weeds: type, biomass, development stage, height, and overall weed score. The second part contains auxiliary data, including: Soil profile data from four locations within the study fields; Crop calendar and management information; Unmanned Aerial Vehicle (UAV) multispectral imagery; Meteorological data from an automated weather station installed in the study area.","url":"https://doi.org/10.5281/zenodo.17475742","authors":["Dimitrov, Petar","Roumenina, Eugenia","Jelev, Georgi","Filchev, Lachezar","Gikov, Alexander","Kamenova, Ilina","Ilieva, Iliana","Ganeva, Dessislava","Kercheva, Milena","Banov, Martin","Krasteva, Veneta","Kolchakov, Viktor","Dimitrov, Emil","Miteva, Nevena"],"tags":["UAV","Winter wheat","LAI","Phenology","Yield (agricultural)","Soil profile","Remote sensing","Spectroscopy"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.17475742","addedAt":"2026-08-31T06:40:00.496Z","updatedAt":"2026-08-31T06:40:00.496Z"},{"id":"doi:10.5281/zenodo.17475741","name":"In-situ and UAV dataset with crop and soil parameters obtained from winter wheat fields","source":"datacite","abstract":"This dataset was created as a result of two seasons of ground observation and measurements conducted on commercial winter wheat fields in Zlatia test site, Bulgaria. The study was part of the TS2AgroBg project (“Testing Sentinel-2 vegetation indices for the assessment of the state of winter crops in Bulgaria”) funded by the European Space Agency (Contract № 4000117474/16/NL/NDe) under the Plan for European Cooperating States. The aim of the field campaigns was to collect in-situ data for different biophysical, biochemical, phenological, and other crop and soil parameters that characterize and affect the crop status and the spectral reflectance of the crop-soil system. The data were used to calibrate and validate empirical models for prediction and mapping of important crop parameters, such as leaf area index, biomass, chlorophyll content, etc., based on spectral data from the Sentinel-2 satellites. In addition, a methodology for integral assessment of crop status based on a combination of such parameters was developed. The dataset consists of two main parts. The first part contains data collected from 20 m by 20 m plots (Elementary Sampling Units, ESUs), includes the following parameters: Leaf Area Index (LAI); Fraction of Absorbed Photosynthetically Active Radiation (fAPAR); Fraction of Intercepted Photosynthetically Active Radiation (fIPAR); Vegetation cover fraction (fCover); Chlorophyll Content (CC); Above ground biomass (AGB): fresh and dry; Plant nitrogen content; Biological yield; Soil moisture content at the surface layer; Reflectance in the 350 nm to 2500 nm spectral range; Crop development stage; Crop density; Crop height; Total area coverage; Assessment score of damages caused by diseases or pests; Weeds: type, biomass, development stage, height, and overall weed score. The second part contains auxiliary data, including: Soil profile data from four locations within the study fields; Crop calendar and management information; Unmanned Aerial Vehicle (UAV) multispectral imagery; Meteorological data from an automated weather station installed in the study area.","url":"https://doi.org/10.5281/zenodo.17475741","authors":["Dimitrov, Petar","Roumenina, Eugenia","Jelev, Georgi","Filchev, Lachezar","Gikov, Alexander","Kamenova, Ilina","Ilieva, Iliana","Ganeva, Dessislava","Kercheva, Milena","Banov, Martin","Krasteva, Veneta","Kolchakov, Viktor","Dimitrov, Emil","Miteva, Nevena"],"tags":["UAV","Winter wheat","LAI","Phenology","Yield (agricultural)","Soil profile","Remote sensing","Spectroscopy"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.17475741","addedAt":"2026-08-31T06:40:00.496Z","updatedAt":"2026-08-31T06:40:00.496Z"},{"id":"doi:10.34847/nkl.7cdb273f","name":"Architectural Phases of Room B001 in Building B at Qusur Mohareb","source":"datacite","abstract":"This deposit contains the 3D model in GLTF and USDZ formats, as downloaded from Sketchfab, and the caption in png format. In accordance with prevailing legislation, the survey was conducted without the utilisation of unmanned aerial vehicle (UAV). How to quote this model in scientific papers? Fr. Colin, “Architectural Phases of Room B001 in Building B at Qusur Mohareb”, Maquette QM-2025B-3V-1, Strasbourg, 2026, DOI: 10.34847/nkl.7cdb273f. Model stored on the data service “Nakala”: https://www.nakala.fr. Photographic survey &amp; modelling: Fr. Colin, Univ. de Strasbourg, CNRS, UMR 7044 Archimède. Topography: N.Bernabeu. Director of the Qusur Mohareb project: Cassandre Hartenstein. Partners of project: Egyptian Ministry of Tourism and Antiquities, IFAO, Univ. de Strasbourg, CNRS. The archaeological survey was modelled with the use of Metashape.","url":"https://doi.org/10.34847/nkl.7cdb273f","authors":["Colin, Frédéric"],"tags":["Architecture","FOS: Civil engineering","Archéologie et histoire","archéologie du bâti","Photogrammétrie en architecture"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.34847/nkl.7cdb273f","addedAt":"2026-08-31T06:40:00.496Z","updatedAt":"2026-08-31T06:40:00.496Z"},{"id":"doi:10.34847/nkl.0f08770w","name":"Building B at Qusur Mohareb (Bahariya Oasis), Before Study, Dataset B","source":"datacite","abstract":"This deposit contains the original photographs in JPG format from QM_2025B_07001 to 60999. The preceding photographs, numbered from QM_2025B_00001 to QM_2025B_07001, have been stored in a dataset entitled 'Building B at Qusur Mohareb (Bahariya Oasis), Before Study, Data Set A'. The deposit \"Data set A\" also contains the 3D models in GLTF and USDZ formats, as downloaded from Sketchfab. If reused separately, the JPG photos must be credited to Frédéric Colin. In accordance with prevailing legislation, the survey was conducted without the utilisation of unmanned aerial vehicle (UAV). How to quote this model in scientific papers? Fr. Colin, N. Bernabeu, L. Guillon, “Building B at Qusur Mohareb (Bahariya Oasis), Before Study”, Field Survey QM-2025B-BDE-1, Strasbourg, 2026, DOI: 10.34847/nkl.80cbktkf. Model stored on the data service “Nakala” of the “TGIR Huma-Num” (https://www.nakala.fr). The photogrammetric survey QM-2025B-BDE-1 has been conducted to document the artifacts and contexts uncovered by the French Archaeological Mission in Bahariya and to prepare the publication. Photographic survey &amp; modelling: Fr. Colin, Univ. de Strasbourg, CNRS, UMR 7044 Archimède. Pole-mounted camera photos: Fr. Colin, N. Bernabeu &amp; L. Guillon. Topography: N.Bernabeu. Director of the project in Qusur Mohareb: Cassandre Hartenstein. Partners of the project: Egyptian Ministry of Tourism and Antiquities, IFAO, Univ. de Strasbourg, CNRS. The archaeological survey was modelled with the use of Metashape. The camel-shaped scale was artificially generated using Adobe Substance Stager. The human-shaped scale was scanned using Scaniverse.","url":"https://doi.org/10.34847/nkl.0f08770w","authors":["Colin, Frédéric"],"tags":["archaeology","Egypt","Egyptology","Photogrammétrie en architecture"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.34847/nkl.0f08770w","addedAt":"2026-08-31T06:40:00.496Z","updatedAt":"2026-08-31T06:40:00.496Z"},{"id":"doi:10.34847/nkl.80cbktkf","name":"Building B at Qusur Mohareb (Bahariya Oasis), Before Study, Dataset A","source":"datacite","abstract":"This deposit contains the original photographs in JPG format from QM_2025B_00001 to QM_2025B_07000 (total 3500 photos). The subsequent photographs, from QM_2025B_07001 up to 60999, have been stored in the data set entitled \"Building B at Qusur Mohareb (Bahariya Oasis), Before Study, Data set B\". This deposit also contains the 3D models in GLTF and USDZ formats, as downloaded from Sketchfab. If reused separately, the JPG photos must be credited to Frédéric Colin. In accordance with prevailing legislation, the survey was conducted without the utilisation of unmanned aerial vehicle (UAV). How to quote this model in scientific papers? Fr. Colin, N. Bernabeu, L. Guillon, “Building B at Qusur Mohareb (Bahariya Oasis), Before Study”, Field Survey QM-2025B-BDE-1, Strasbourg, 2026, DOI: 10.34847/nkl.80cbktkf. Model stored on the data service “Nakala” of the “TGIR Huma-Num” (https://www.nakala.fr). The photogrammetric survey QM-2025B-BDE-1 has been conducted to document the artifacts and contexts uncovered by the French Archaeological Mission in Bahariya and to prepare the publication. Photographic survey &amp; modelling: Fr. Colin, Univ. de Strasbourg, CNRS, UMR 7044 Archimède. Pole-mounted camera photos: Fr. Colin, N. Bernabeu &amp; L. Guillon. Topography: N.Bernabeu. Director of the project in Qusur Mohareb: Cassandre Hartenstein. Partners of the project: Egyptian Ministry of Tourism and Antiquities, IFAO, Univ. de Strasbourg, CNRS. The archaeological survey was modelled with the use of Metashape. The camel-shaped scale was artificially generated using Adobe Substance Stager. The human-shaped scale was scanned using Scaniverse.","url":"https://doi.org/10.34847/nkl.80cbktkf","authors":["Colin, Frédéric"],"tags":["Archéologie et histoire","archéologie de terrain","égyptologie","Égypte"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.34847/nkl.80cbktkf","addedAt":"2026-08-31T06:40:00.496Z","updatedAt":"2026-08-31T06:40:00.496Z"},{"id":"doi:10.48550/arxiv.2601.16533","name":"UAV-Assisted Joint Data Collection and Wireless Power Transfer for Batteryless Sensor Networks","source":"datacite","abstract":"The development of wireless power transfer (WPT) and Internet of Things (IoT) offers significant potential but faces challenges such as limited energy supply, dynamic environmental changes, and unstable transmission links. This paper presents an unmanned aerial vehicle (UAV)-assisted data collection and WPT scheme to support batteryless sensor (BLS) networks in remote areas. In this system, BLSs harvest energy from the UAV and utilize the harvested energy to transmit the collected data back to the UAV. The goal is to maximize the collected data volume and fairness index while minimizing the UAV energy consumption. To achieve these objectives, an optimization problem is formulated to jointly optimize the transmit power and UAV trajectory. Due to the non-convexity and dynamic nature of the problem, a deep reinforcement learning (DRL)-based algorithm is proposed to solve the problem. Specifically, this algorithm integrates prioritized experience replay and the performer module to enhance system stability and accelerate convergence. Simulation results demonstrate that the proposed approach consistently outperforms benchmark schemes in terms of collected data volume, fairness, and UAV energy consumption.","url":"https://doi.org/10.48550/arxiv.2601.16533","authors":["Zhang, Wen","Wang, Aimin","Sun, Geng","Li, Jiahui","Wang, Jiacheng","Zhao, Changyuan","Niyato, Dusit"],"tags":["Networking and Internet Architecture (cs.NI)","FOS: Computer and information sciences","FOS: Computer and information sciences"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.48550/arxiv.2601.16533","addedAt":"2026-08-31T06:40:00.496Z","updatedAt":"2026-08-31T06:40:00.496Z"},{"id":"doi:10.48550/arxiv.2601.10123","name":"Fairness Driven Multi-Agent Path Finding Problem","source":"datacite","abstract":"The Multi-Agent Path Finding (MAPF) problem aims at finding non-conflicting paths for multiple agents from their respective sources to destinations. This problem arises in multiple real-life situations, including robot motion planning and airspace assignment for unmanned aerial vehicle movement. The problem is computationally expensive, and adding to it, the agents are rational and can misreport their private information. In this paper, we study both variants of the problem under the realm of fairness. For the non-rational agents, we propose a heuristic solution for this problem. Considering the agents are rational, we develop a mechanism and demonstrate that it is a dominant strategy, incentive compatible, and individually rational. We employ various solution methodologies to highlight the effectiveness and efficiency of the proposed solution approaches.","url":"https://doi.org/10.48550/arxiv.2601.10123","authors":["Anand, Aditi","Ali, Dildar","Banerjee, Suman"],"tags":["Multiagent Systems (cs.MA)","FOS: Computer and information sciences","FOS: Computer and information sciences"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.48550/arxiv.2601.10123","addedAt":"2026-08-31T06:40:00.496Z","updatedAt":"2026-08-31T06:40:00.496Z"},{"id":"doi:10.48550/arxiv.2512.20769","name":"A General Purpose Method for Robotic Interception of Non-Cooperative Dynamic Targets","source":"datacite","abstract":"This paper presents a general purpose framework for autonomous, vision-based interception of dynamic, non-cooperative targets, validated across three distinct mobility platforms: an unmanned aerial vehicle (UAV), a four-wheeled ground rover, and an air-thruster spacecraft testbed. The approach relies solely on a monocular camera with fiducials for target tracking and operates entirely in the local observer frame without the need for global information. The core contribution of this work is a streamlined and general approach to autonomous interception that can be adapted across robots with varying dynamics, as well as our comprehensive study of the robot interception problem across heterogenous mobility systems under limited observability and no global localization. Our method integrates (1) an Extended Kalman Filter for relative pose estimation amid intermittent measurements, (2) a history-conditioned motion predictor for dynamic target trajectory propagation, and (3) a receding-horizon planner solving a constrained convex program in real time to ensure time-efficient and kinematically feasible interception paths. Our operating regime assumes that observability is restricted by partial fields of view, sensor dropouts, and target occlusions. Experiments are performed in these conditions and include autonomous UAV landing on dynamic targets, rover rendezvous and leader-follower tasks, and spacecraft proximity operations. Results from simulated and physical experiments demonstrate robust performance with low interception errors (both during station-keeping and upon scenario completion), high success rates under deterministic and stochastic target motion profiles, and real-time execution on embedded processors such as the Jetson Orin, VOXL2, and Raspberry Pi 5. These results highlight the framework's generalizability, robustness, and computational efficiency.","url":"https://doi.org/10.48550/arxiv.2512.20769","authors":["Patel, Tanmay P.","Tevere, Erica L.","Kramer, Erik H.","Mukherjee, Rudranarayan M."],"tags":["Robotics (cs.RO)","FOS: Computer and information sciences","FOS: Computer and information sciences"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.48550/arxiv.2512.20769","addedAt":"2026-08-31T06:40:00.496Z","updatedAt":"2026-08-31T06:40:00.496Z"},{"id":"doi:10.48550/arxiv.2510.13442","name":"Geometry-Based Drift Compensation for Distributed Channel Sounding Measurements in Dynamic Drone Scenarios","source":"datacite","abstract":"Measured impulse responses obtained from a dynamic unmanned aerial vehicle (UAV) channel sounding system exhibit effects attributable to time-varying carrier frequency offset (CFO) and sampling frequency offset (SFO). To correct the recorded data in post-processing, we extend existing geometry-based drift compensation algorithms by an explicit line-of-sight (LoS) determination, combining a symbol-wise high-resolution parameter estimation (HRPE) in delay with a Kalman filter. This proposed extension facilitates the removal of rapidly varying synchronization mismatches from channel sounding measurements in rich multipath propagation scenarios. Furthermore, we propose using the relative residual power after subtraction of estimated multipath components as a metric for ground-truth-independent comparison of post-processing synchronization methods for recorded channel sounding data. The application of the proposed procedure shows that our approach outperforms existing post-processing compensation algorithms, reducing the relative residual power by more than 5 dB and the delay-Doppler estimate root mean square errors (RMSEs) of a passive UAV target by approximately 60 %.","url":"https://doi.org/10.48550/arxiv.2510.13442","authors":["Mohr, Lorenz","Miranda, Marc","Semper, Sebastian","Beuster, Julia","Andrich, Carsten","Giehl, Sebastian","Schneider, Christian","Thomä, Reiner S."],"tags":["Signal Processing (eess.SP)","FOS: Electrical engineering, electronic engineering, information engineering","FOS: Electrical engineering, electronic engineering, information engineering"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.48550/arxiv.2510.13442","addedAt":"2026-08-31T06:40:00.496Z","updatedAt":"2026-08-31T06:40:00.496Z"},{"id":"doi:10.48550/arxiv.2512.08341","name":"Multi-Agent Deep Reinforcement Learning for Collaborative UAV Relay Networks under Jamming Atatcks","source":"datacite","abstract":"The deployment of Unmanned Aerial Vehicle (UAV) swarms as dynamic communication relays is critical for next-generation tactical networks. However, operating in contested environments requires solving a complex trade-off, including maximizing system throughput while ensuring collision avoidance and resilience against adversarial jamming. Existing heuristic-based approaches often struggle to find effective solutions due to the dynamic and multi-objective nature of this problem. This paper formulates this challenge as a cooperative Multi-Agent Reinforcement Learning (MARL) problem, solved using the Centralized Training with Decentralized Execution (CTDE) framework. Our approach employs a centralized critic that uses global state information to guide decentralized actors which operate using only local observations. Simulation results show that our proposed framework significantly outperforms heuristic baselines, increasing the total system throughput by approximately 50% while simultaneously achieving a near-zero collision rate. A key finding is that the agents develop an emergent anti-jamming strategy without explicit programming. They learn to intelligently position themselves to balance the trade-off between mitigating interference from jammers and maintaining effective communication links with ground users.","url":"https://doi.org/10.48550/arxiv.2512.08341","authors":["Nguyen, Thai Duong","Nguyen, Ngoc-Tan","Nguyen, Thanh-Dao","Van Huynh, Nguyen","Tran, Dinh-Hieu","Chatzinotas, Symeon"],"tags":["Networking and Internet Architecture (cs.NI)","Machine Learning (cs.LG)","Multiagent Systems (cs.MA)","FOS: Computer and information sciences","FOS: Computer and information sciences"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.48550/arxiv.2512.08341","addedAt":"2026-08-31T06:40:00.496Z","updatedAt":"2026-08-31T06:40:00.496Z"},{"id":"doi:10.48550/arxiv.2511.14371","name":"Blur-Robust Detection via Feature Restoration: An End-to-End Framework for Prior-Guided Infrared UAV Target Detection","source":"datacite","abstract":"Infrared unmanned aerial vehicle (UAV) target images often suffer from motion blur degradation caused by rapid sensor movement, significantly reducing contrast between target and background. Generally, detection performance heavily depends on the discriminative feature representation between target and background. Existing methods typically treat deblurring as a preprocessing step focused on visual quality, while neglecting the enhancement of task-relevant features crucial for detection. Improving feature representation for detection under blur conditions remains challenging. In this paper, we propose a novel Joint Feature-Domain Deblurring and Detection end-to-end framework, dubbed JFD3. We design a dual-branch architecture with shared weights, where the clear branch guides the blurred branch to enhance discriminative feature representation. Specifically, we first introduce a lightweight feature restoration network, where features from the clear branch serve as feature-level supervision to guide the blurred branch, thereby enhancing its distinctive capability for detection. We then propose a frequency structure guidance module that refines the structure prior from the restoration network and integrates it into shallow detection layers to enrich target structural information. Finally, a feature consistency self-supervised loss is imposed between the dual-branch detection backbones, driving the blurred branch to approximate the feature representations of the clear one. Wealso construct a benchmark, named IRBlurUAV, containing 30,000 simulated and 4,118 real infrared UAV target images with diverse motion blur. Extensive experiments on IRBlurUAV demonstrate that JFD3 achieves superior detection performance while maintaining real-time efficiency.","url":"https://doi.org/10.48550/arxiv.2511.14371","authors":["Wang, Xiaolin","Fang, Houzhang","Li, Qingshan","Wang, Lu","Chang, Yi","Yan, Luxin"],"tags":["Computer Vision and Pattern Recognition (cs.CV)","FOS: Computer and information sciences","FOS: Computer and information sciences"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.48550/arxiv.2511.14371","addedAt":"2026-08-31T06:40:00.496Z","updatedAt":"2026-08-31T06:40:00.496Z"},{"id":"doi:10.48550/arxiv.2511.02368","name":"Optimizing Multi-UAV 3D Deployment for Energy-Efficient Sensing over Uneven Terrains","source":"datacite","abstract":"In this work, we consider a multi-unmanned aerial vehicle (UAV) cooperative sensing system where UAVs are deployed to sense multiple targets in terrain-aware line of sight (LoS) conditions in uneven terrain equipped with directional antennas. To mitigate terrain-induced LoS blockages that degrade detection performance, we incorporate a binary LoS indicator and propose a bounding volume hierarchy (BHV)-based adaptive scheme for efficient LoS evaluation. We formulate a bi-objective problem that maximizes the probability of cooperative detection with minimal hover energy constraints governing spatial, orientational, and safety constraints. To address the problem, which is inherently non-convex, we propose a hierarchical heuristic framework that combines exploration through a genetic algorithm (GA) with per-UAV refinement via particle swarm optimization (PSO), where a penalty-based fitness evaluation guides solutions toward feasibility, bounded within constraints. The proposed methodology is an effective trade-off method of traversing through a complex search space and maintaining terrain-aware LoS connectivity and energy aware deployment. Monte Carlo simulations on real-world terrain data show that the proposed GA+PSO framework improves detection probability by 37.02% and 36.5% for 2 and 3 UAVs, respectively, while reducing average excess hover energy by 45.0% and 48.9% compared to the PSO-only baseline. Relative to the non-optimized scheme, it further achieves 59.5% and 54.2% higher detection probability with 59.8% and 65.9% lower excess hover energy, thereby showing its effectiveness with a small number of UAVs over uneven terrain.","url":"https://doi.org/10.48550/arxiv.2511.02368","authors":["Moliya, Rushi","Patel, Dhaval K.","Soni, Brijesh","López-Benítez, Miguel"],"tags":["Networking and Internet Architecture (cs.NI)","FOS: Computer and information sciences","FOS: Computer and information sciences"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.48550/arxiv.2511.02368","addedAt":"2026-08-31T06:40:00.496Z","updatedAt":"2026-08-31T06:40:00.496Z"},{"id":"doi:10.48550/arxiv.2510.27133","name":"WildfireX-SLAM: A Large-scale Low-altitude RGB-D Dataset for Wildfire SLAM and Beyond","source":"datacite","abstract":"3D Gaussian splatting (3DGS) and its subsequent variants have led to remarkable progress in simultaneous localization and mapping (SLAM). While most recent 3DGS-based SLAM works focus on small-scale indoor scenes, developing 3DGS-based SLAM methods for large-scale forest scenes holds great potential for many real-world applications, especially for wildfire emergency response and forest management. However, this line of research is impeded by the absence of a comprehensive and high-quality dataset, and collecting such a dataset over real-world scenes is costly and technically infeasible. To this end, we have built a large-scale, comprehensive, and high-quality synthetic dataset for SLAM in wildfire and forest environments. Leveraging the Unreal Engine 5 Electric Dreams Environment Sample Project, we developed a pipeline to easily collect aerial and ground views, including ground-truth camera poses and a range of additional data modalities from unmanned aerial vehicle. Our pipeline also provides flexible controls on environmental factors such as light, weather, and types and conditions of wildfire, supporting the need for various tasks covering forest mapping, wildfire emergency response, and beyond. The resulting pilot dataset, WildfireX-SLAM, contains 5.5k low-altitude RGB-D aerial images from a large-scale forest map with a total size of 16 km2. On top of WildfireX-SLAM, a thorough benchmark is also conducted, which not only reveals the unique challenges of 3DGS-based SLAM in the forest but also highlights potential improvements for future works. The dataset and code will be publicly available. Project page: https://zhicongsun.github.io/wildfirexslam.","url":"https://doi.org/10.48550/arxiv.2510.27133","authors":["Sun, Zhicong","Lo, Jacqueline","Hu, Jinxing"],"tags":["Computer Vision and Pattern Recognition (cs.CV)","Robotics (cs.RO)","FOS: Computer and information sciences","FOS: Computer and information sciences"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.48550/arxiv.2510.27133","addedAt":"2026-08-31T06:40:00.496Z","updatedAt":"2026-08-31T06:40:00.496Z"},{"id":"doi:10.48550/arxiv.2510.02022","name":"Performance Analysis of RIS-Assisted UAV Communication in NOMA Networks","source":"datacite","abstract":"This paper investigates the performance of downlink non-orthogonal multiple access (NOMA) communication in unmanned aerial vehicle (UAV) networks enhanced by partitionable reconfigurable intelligent surfaces (RISs). We analyze three types of links between base station (BS) and UAVs: direct, RIS-only indirect, and composite links, under both Line-of-Sight (LoS) and Non-LoS (NLoS) propagation. The RIS-only indirect link and direct link are modeled using double Nakagami-m and Nakagami-m fading, respectively, while the composite link follows a combined fading channel model. Closed-form expressions for the cumulative distribution function (CDF) of the received signal-to-noise ratio (SNR) are derived for all links, enabling tractable outage probability analysis. Then, we formulate a fairness-efficiency bilevel optimization problem to minimize the maximum outage probability among UAVs while minimizing the total number of required RIS reflecting elements. Accordingly, an RIS-assisted UAV Outage Minimization (RUOM) algorithm is proposed, which fairly allocates the NOMA power coefficients while minimizing the total number of RIS reflecting elements required, subject to NOMA-defined constraints, RIS resource limitations, and maximum allowable outage threshold. Simulation results validate the analytical models and demonstrate that the proposed RUOM algorithm significantly improves fairness and efficiency in BS-UAV communication.","url":"https://doi.org/10.48550/arxiv.2510.02022","authors":["Ghazikor, Masoud","Nguyen, Van Ly","Hashemi, Morteza"],"tags":["Information Theory (cs.IT)","FOS: Computer and information sciences","FOS: Computer and information sciences"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.48550/arxiv.2510.02022","addedAt":"2026-08-31T06:40:00.496Z","updatedAt":"2026-08-31T06:40:00.496Z"},{"id":"doi:10.48550/arxiv.2112.02735","name":"A Dataset of Stationary, Fixed-wing Aircraft on a Collision Course for Vision-Based Sense and Avoid","source":"datacite","abstract":"The emerging global market for unmanned aerial vehicle (UAV) services is anticipated to reach USD 58.4 billion by 2026, spurring significant efforts to safely integrate routine UAV operations into the national airspace in a manner that they do not compromise the existing safety levels. The commercial use of UAVs would be enhanced by an ability to sense and avoid potential mid-air collision threats however research in this field is hindered by the lack of available datasets as they are expensive and technically complex to capture. In this paper we present a dataset for vision based aircraft detection. The dataset consists of 15 image sequences containing 55,521 images of a fixed-wing aircraft approaching a stationary, grounded camera. Ground truth labels and a performance benchmark are also provided. To our knowledge, this is the first public dataset for studying medium sized, fixed-wing aircraft on a collision course with the observer. The full dataset and ground truth labels are publicly available at https://qcr.github.io/dataset/aircraft-collision-course/.","url":"https://doi.org/10.48550/arxiv.2112.02735","authors":["Martin, Jasmin","Riseley, Jenna","Ford, Jason J."],"tags":["Robotics (cs.RO)","Computer Vision and Pattern Recognition (cs.CV)","FOS: Computer and information sciences","FOS: Computer and information sciences"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2021","doi":"10.48550/arxiv.2112.02735","addedAt":"2026-08-31T06:40:00.496Z","updatedAt":"2026-08-31T06:40:00.496Z"},{"id":"doi:10.1109/icus66297.2025.11294087","name":"Health Status Prediction of Unmanned Aerial Vehicle Swarm Based on Deep Learning","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icus66297.2025.11294087","authors":["Yonghan Huang","Lizhi Wang","Minze Xu","Zhiqi Guo"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-12-23T18:28:29Z","doi":"10.1109/icus66297.2025.11294087","addedAt":"2026-08-31T06:40:02.531Z","updatedAt":"2026-08-31T06:40:02.531Z"},{"id":"doi:10.1109/isparo66239.2025.11436136","name":"Cooperative Operations Between the Kalman Planetary Rover and an Unmanned Aerial Vehicle for Planetary Exploration","source":"crossref","abstract":"","url":"https://doi.org/10.1109/isparo66239.2025.11436136","authors":["Tymoteusz Glazar"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-03-23T20:02:43Z","doi":"10.1109/isparo66239.2025.11436136","addedAt":"2026-08-31T06:40:02.531Z","updatedAt":"2026-08-31T06:40:02.531Z"},{"id":"doi:10.1109/iciea65512.2025.11148419","name":"Adaptive Rodrigues Antenna Alignment for Unmanned Aerial Vehicle","source":"crossref","abstract":"","url":"https://doi.org/10.1109/iciea65512.2025.11148419","authors":["Zihan Zhou","Charles Z. Liu","Zhiwen Zhou"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-09-10T17:41:10Z","doi":"10.1109/iciea65512.2025.11148419","addedAt":"2026-08-31T06:40:02.531Z","updatedAt":"2026-08-31T06:40:02.531Z"},{"id":"doi:10.17277/pravo.2025.01.pp.111-119","name":"Tactics for Inspecting Unmanned Aerial Vehicle Collision Sites","source":"crossref","abstract":"The evolutionary development of digital technologies and robotization of most areas of human activity have had a great impact on global aviation, forming new types of aircraft and scenarios for their use. With the start of a special military operation, the number of procedural actions related to the inspection of unmanned aerial vehicle crash sites has increased significantly. The analysis of investigative action protocols shows that current law enforcement officers do not always have a clear idea of what unmanned aerial vehicles are, what design they may have, which of their elements are objects of forensic interest, and what specifically should be reflected in the crime scene inspection protocol. In this regard, it becomes necessary to turn to the study of the tactics of inspecting unmanned aerial vehicle crash sites. Understanding the breadth and comprehensiveness of this problem, the authors of this article focused on the study of the investigator's work algorithm at the crash site of unmanned aerial vehicles. In the main part of the work, the authors disclosed the following issues: features of the use of unmanned aerial vehicles in criminal activity and classification of traces at the place of their discovery; typical investigative situations that develop at the initial stage of the investigation of crimes related to the use of unmanned aerial vehicles; the sequence and features of the inspection of the crash sites of unmanned aerial vehicles. The final part provides general recommendations for the inspection, as well as further forensic examination of parts, fragments and cargo of unmanned aerial vehicles found at the scene of the incident.","url":"https://doi.org/10.17277/pravo.2025.01.pp.111-119","authors":["Vladimir Popov","Denis Tetkin","Aleksandr Rudavin"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-04-13T10:24:09Z","doi":"10.17277/pravo.2025.01.pp.111-119","addedAt":"2026-08-31T06:40:02.531Z","updatedAt":"2026-08-31T06:40:02.531Z"},{"id":"doi:10.64972/jaat.2025v3.240p44e:604-617","name":"Application of Quantum Reinforcement Learning in Autonomous Unmanned Aerial Vehicle Navigation","source":"crossref","abstract":"An intelligent adaptation technique is necessary due to the complexity and unpredictability of the air space, and autonomous unmanned aerial vehicle (UAV) navigation uses quantum reinforcement learning (QRL) as an advanced control mechanism. This work suggests quantum-inspired encoding and optimization algorithms for policy learning in order to overcome the shortcomings in efficiency and scalability of conventional and deep reinforcement learning approaches. The technique employs quantum-parametric policy optimization on a hybrid quantum-classical architecture after forming UAV navigation as a Markov Decision Process and adding quantum amplitude encoding. Dynamic obstacle and random wind disturbance experiments will be carried out in a high-fidelity 3D simulation environment. QRL has decreased energy usage by up to 17% and increased the top classical RL baseline's convergence speed by 40%. Even in inclement weather, the success rate remains around 95%, and the minimum obstacle clearance never falls below 1.8 meters. Analysis shows that QRL yields safer, more robust and sample-efficient policies that are better at generalizing to unseen maps and disturbance-heavy environments. Based on the above results, the technical feasibility and engineering value of quantum-enhanced learning algorithms for robust UAV autonomous navigation have been demonstrated; thus, they can serve as a model for future intelligent aerial decision systems.","url":"https://doi.org/10.64972/jaat.2025v3.240p44e:604-617","authors":["Veljko Perić","Milan Živković"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-06-13T10:57:09Z","doi":"10.64972/jaat.2025v3.240p44e:604-617","addedAt":"2026-08-31T06:40:02.531Z","updatedAt":"2026-08-31T06:40:02.531Z"},{"id":"doi:10.31861/bmj2025.01.13","name":"OPTIMIZATION OF UNMANNED AERIAL VEHICLE ROUTES IN LOGISTICS: AN EXTENDED MATHEMATICAL MODEL","source":"crossref","abstract":"","url":"https://doi.org/10.31861/bmj2025.01.13","authors":["Serhiy Martynyuk","Mykhailo Sydora"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-07-17T21:22:06Z","doi":"10.31861/bmj2025.01.13","addedAt":"2026-08-31T06:40:02.531Z","updatedAt":"2026-08-31T06:40:02.531Z"},{"id":"doi:10.36652/0869-4931-2025-79-7-317-320","name":"Development and design of an unmanned aerial vehicle controlled via the Internet: innovations and prospects, improvement algorithms","source":"crossref","abstract":"The use of unmanned aerial vehicles (UAV) controlled via 4G/5G mobile networks is considered. The advantages of such systems, including extended range, connection stability, and integration with cloud services, are analyzed. The operating principles of the UAV, its interaction scheme via cellular networks, features of switching between base stations, and resistance to interference are described. The introduction of artificial intelligence for working with UAV is justified. The developed unmanned aerial vehicle controlled via the Internet is an innovative solution that allows significantly expanding the functionality of drones, reducing costs, and increasing the autonomy of their operation. Keywords cellular-controlled unmanned aerial vehicles, 4G/5G Internet-controlled unmanned aerial vehicles, unmanned aircraft systems (UAS), unmanned aerial vehicles (UAV), drones, digital economy, artificial intelligence (AI), UAV applications","url":"https://doi.org/10.36652/0869-4931-2025-79-7-317-320","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-08-20T06:15:56Z","doi":"10.36652/0869-4931-2025-79-7-317-320","addedAt":"2026-08-31T06:40:02.531Z","updatedAt":"2026-08-31T06:40:02.531Z"},{"id":"doi:10.1109/access.2025.3535624","name":"DFTD-YOLO: Lightweight Multi-Target Detection From Unmanned Aerial Vehicle Viewpoints","source":"crossref","abstract":"","url":"https://doi.org/10.1109/access.2025.3535624","authors":["Yuteng Chen","Zhaoguang Liu"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-01-28T18:46:46Z","doi":"10.1109/access.2025.3535624","addedAt":"2026-08-31T06:40:02.531Z","updatedAt":"2026-08-31T06:40:02.531Z"},{"id":"doi:10.18287/2412-6179-co-1579","name":"Application of unmanned aerial vehicle remote sensing technology in hydrological monitoring for water conservancy projects","source":"crossref","abstract":"The article provides a brief introduction to hydrological monitoring and the methods of water body identification and flow velocity estimation based on unmanned aerial vehicle (UAV) remote sensing technology. Then, a case study of hydrological monitoring using UAV remote sensing technology was conducted on Gangnan Reservoir in Hebei Province. The effectiveness of the convolutional neural network (CNN) algorithm was verified, and measurements were made on the reservoir’s water area and average flow velocity in both flood and non-flood periods during 2020, 2021, and 2022. It was found that the CNN algorithm effectively identified water areas in UAV remote sensing images. Compared to non-flood periods, there was a significant increase in the water area of the reservoir during flood periods, as well as a noticeable increase in average flow velocity upstream; however, there was no significant change in average flow velocity downstream of the reservoir.","url":"https://doi.org/10.18287/2412-6179-co-1579","authors":["S.N. Cheng"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-11-19T04:17:52Z","doi":"10.18287/2412-6179-co-1579","addedAt":"2026-08-31T06:40:02.531Z","updatedAt":"2026-08-31T06:40:02.531Z"},{"id":"doi:10.1109/eccst68196.2025.11441040","name":"Unmanned Aerial Vehicle Path Planning Based on the MCSD-GWO Algorithm","source":"crossref","abstract":"","url":"https://doi.org/10.1109/eccst68196.2025.11441040","authors":["Sifan Sun"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-03-24T19:46:14Z","doi":"10.1109/eccst68196.2025.11441040","addedAt":"2026-08-31T06:40:02.531Z","updatedAt":"2026-08-31T06:40:02.531Z"},{"id":"doi:10.33920/pro-2-2511-04","name":"Robust integration of unmanned aerial vehicle navigation measurements based","source":"crossref","abstract":"The article discusses the problem of improving the reliability of navigation systems of unmanned aerial vehicles (UAVs) by developing and applying a robust measurement integration algorithm based on the generalized least modules method (LMS). The proposed approach makes it possible to effectively fend off sensor failures and minimize the impact of abnormal measurement errors, which is especially important in emergency situations such as signal loss or significant noise. Numerical simulation has been performed demonstrating the advantages of a robust filter over a classical Kalman filter in conditions of deviation of the system characteristics from the nominal ones. The results confirm the high efficiency of the algorithm in processing incomplete and noisy data. The software and mathematical excerpts are freely available on the Internet, which allows anyone who wants to do similar work and verify the correctness of our conclusions.","url":"https://doi.org/10.33920/pro-2-2511-04","authors":["S.S. Yudachev","A.P. Varlamova","D.A. Gordienko","V.I. Polkhanova"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-03-27T08:57:23Z","doi":"10.33920/pro-2-2511-04","addedAt":"2026-08-31T06:40:02.531Z","updatedAt":"2026-08-31T06:40:02.531Z"},{"id":"doi:10.36962/etm31072025-66","name":"DETERMINATION OF OIL POLLUTION OF WATER SURFACE USING AN UNMANNED AERIAL  VEHICLE (UAV)","source":"crossref","abstract":"The article presents an algorithm for determining oil pollution of water surfaces based on in-depth study using multispectral images obtained from a camera on unmanned aerial vehicles (UAVs).The article pays special attention to the issues of accuracy and speed of the algorithm. The developed method has a high information processing speed and can be successfully applied in various climatic conditions. The results show that the proposed algorithm is able to automatically detect even minor contamination of water surfaces, which makes it possible to quickly respond to environmental disasters and minimize their consequences. The article examines the algorithm for detecting oil pollution on the water surface as part of ecological monitoring. The problem of detecting oil pollution by traditional methods requires significant time and financial costs, which reduces the effectiveness of their operational monitoring. Modern approaches to monitoring increasingly involve the use of unmanned aerial vehicles (UAVs) with multispectral cameras and deep learning algorithms, which allows to significantly reduce the response time to environmental disasters. The integration of deep learning technologies allows not only to automate the process of pollution detection, but also to increase its accuracy due to the analysis of large volumes of data. The purpose of this research is to develop an effective algorithm for automated oil pollution monitoring. Keywords: Unmanned Aerial Vehicle (UAV), monitoring, mapping, vision systems, geoinformation system, machine learning, multispectral research.","url":"https://doi.org/10.36962/etm31072025-66","authors":["Axıra Sultanova Axıra Sultanova"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-12-14T07:17:44Z","doi":"10.36962/etm31072025-66","addedAt":"2026-08-31T06:40:02.531Z","updatedAt":"2026-08-31T06:40:02.531Z"},{"id":"doi:10.1109/ccdc65474.2025.11090297","name":"Moving Target Tracking Based on Unmanned Aerial Vehicle Vision and Inertial Fusion Method","source":"crossref","abstract":"","url":"https://doi.org/10.1109/ccdc65474.2025.11090297","authors":["Xinyang Gao","Ran Huang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-08-05T18:00:15Z","doi":"10.1109/ccdc65474.2025.11090297","addedAt":"2026-08-31T06:40:02.531Z","updatedAt":"2026-08-31T06:40:02.531Z"},{"id":"doi:10.1108/ijius-11-2024-0321","name":"Retraction notice: An efficient three-dimensional node localization using recurrent neural networks in unmanned aerial vehicle-assisted wireless networks: an optimization perspective","source":"crossref","abstract":"","url":"https://doi.org/10.1108/ijius-11-2024-0321","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-10-23T16:59:58Z","doi":"10.1108/ijius-11-2024-0321","addedAt":"2026-08-31T06:40:02.531Z","updatedAt":"2026-08-31T06:40:02.531Z"},{"id":"doi:10.2514/6.2025-1998","name":"Autonomous Path Selection of Unmanned Aerial Vehicle in Dynamic Environment Using Reinforcement Learning","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2025-1998","authors":["Komsun Tamanakijprasart","Adolfo Perrusquia","Sabyasachi Mondal","Antonios Tsourdos"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-02-12T05:03:43Z","doi":"10.2514/6.2025-1998","addedAt":"2026-08-31T06:40:02.531Z","updatedAt":"2026-08-31T06:40:02.531Z"},{"id":"doi:10.18127/j22250980-202503-05","name":"Unmanned aerial vehicle location systems. Antenna Arrays","source":"crossref","abstract":"Radars remain the only al-weather location systems, which is especially important in difficult conditions of their use. Antenna array technologies remain critical for the development of dynamic areas of technology and, first of all, UAVs location systems. The development of location systems and antenna arrays for UAVs has been going on for a long time. Radars and antenna arrays installed on medium– and large–class UAVs differ little from airplane and helicopter systems. Among UAVs, the maximum number of UAVs used are UAVs of minimal size, weight and cost. Due to their high maneuverability, minimal visibility and a large number of tasks to be solved. Therefore, radars are subject to minimum size, weight, dimensions and consumption requirements at maximum range. The widespread use of small UAVs has led to the fact that their radars and antenna arrays are on a par with automotive ones, when the possibilities for their placement are significantly limited, even more so than in cars. For the latter, the problem of miniaturization appeared earlier, but not as severely as in UAVs. Antenna arrays are subject to requirements for minimizing dimensions, weight and consumption. Nanotechnology provides this. It's safe to say that the time has come for large–scale solutions to complex problems in antenna systems. Depending on the type of a UAV, it is possible to use a number of methods for constructing antenna arrays: known and proven – linear and fractal; the most modern – metastructures; widely used – tiled; new: flexible and three–dimensional printed; a combination of several methods. Currently, the most attractive areas for the development of antenna arrays for UAVs are: scaling – growing a large number of similar structures to create large apertures; spacing antenna arrays across the surface of the carrier for viewing both forward, sideways and backward, as well as down and up. The development of silicon tiled antenna arrays has led to the realization of very high operating frequencies (90–100 GHz) on the most affordable process technologies (130–180 nm), and the antenna array is fabricated as a chip. The optimal option for constructing antenna arrays is to ensure the reception, conversion and preprocessing of input signals directly in the antenna system in real time, unloading the radar for solving problems that require powerful processing. Post–processing allows you to obtain a more accurate solution to the problem. The combination of pre–processing and post–processing, supported by advanced software and powerful artificial intelligence, expands the capabilities and improves the parameters of the location system. It is important that artificial intelligence ensures the autonomous movement of a UAV, although its use requires large consumption and memory resources. The integrated location system absorbed for the most part the capabilities of a large stationary radar. At the same time, minimum dimensions, weight and consumption are ensured to solve the necessary modern problems. Several radars with their own antenna arrays can be installed on a UAV, which operate in the internal network, complementing each other.","url":"https://doi.org/10.18127/j22250980-202503-05","authors":["Yu.V. Koltzov"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-01-21T12:46:36Z","doi":"10.18127/j22250980-202503-05","addedAt":"2026-08-31T06:40:02.531Z","updatedAt":"2026-08-31T06:40:02.531Z"},{"id":"doi:10.1109/rusautocon65989.2025.11177273","name":"Method of Identification of Mathematical Model of Unmanned Aerial Vehicle Thrusters","source":"crossref","abstract":"","url":"https://doi.org/10.1109/rusautocon65989.2025.11177273","authors":["V. A. Gorin","A. S. Gubankov"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-09-30T17:37:01Z","doi":"10.1109/rusautocon65989.2025.11177273","addedAt":"2026-08-31T06:40:02.531Z","updatedAt":"2026-08-31T06:40:02.531Z"},{"id":"doi:10.1109/icimia67127.2025.11200693","name":"Deep Learning based Forest Fire Monitoring using Unmanned Aerial Vehicle","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icimia67127.2025.11200693","authors":["Abhilash Panicker","Aryadevi Remanidevi Devidas"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-10-20T17:48:22Z","doi":"10.1109/icimia67127.2025.11200693","addedAt":"2026-08-31T06:40:02.531Z","updatedAt":"2026-08-31T06:40:02.531Z"},{"id":"doi:10.1109/leficlu65987.2025.11297267","name":"Full-Space Mobility Management for Low-Altitude Cellular-Connected Unmanned Aerial Vehicles (UAVs)","source":"crossref","abstract":"","url":"https://doi.org/10.1109/leficlu65987.2025.11297267","authors":["Hongxi Guo","Peng Zhang","Qing Huang","Qixuan Zhang","Songtao Gao","Bin Wang","Qin Si","Yiming Yu"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-12-19T18:56:52Z","doi":"10.1109/leficlu65987.2025.11297267","addedAt":"2026-08-31T06:40:02.531Z","updatedAt":"2026-08-31T06:40:02.531Z"},{"id":"doi:10.5194/ems2025-459","name":"A new low-cost Unmanned Aerial Vehicle (Meteodrone) for monitoring upper air weather data","source":"crossref","abstract":"In the framework of the ThinkInAzul programme, the WIND-COAST project is a joint collaboration between the CSIC, NIWA and UOA aimed at designing and developing a new inexpensive “Meteodrone” for monitoring weather data across the low and mid-levels of the troposphere (up to 5,000-7,000 m a.s.l.). The Meteodrone is based on a DJI Matrice 350 RTK drone, equipped with the LI-550 TriSonica Mini Wind &amp; Weather Sensor as its size and weight make it perfect for Unmanned Aerial Vehicle (UAV). The Meteodrone reports wind speed, direction, air temperature, humidity, pressure, tilt, and compass data.The prototype has already been tested and calibrated in the wind tunnel of UOA to correct motion errors and evaluate its performance in different conditions of wind and turbulence. Field campaigns already started in September 2024 in New Zealand and Spain, first by flying the Meteodrone near a 10-m weather station from NIWA. The Meteodrone has potential to be the substitute of existing operational radiosonde systems such as sounding balloons, which are very expensive and have relatively high environmental impact. The use of Meteodrones will lead to better real-time monitoring and forecasting of extreme weather events, in a more sustainable and less costly way. Its ability to monitor wind storms is very useful for multiple socioeconomic ane environmental sectors. For example, the Meteodrone could have a wide range of potential applications, such as supporting firefighting and emergency management efforts by the Department of Forest Fire Prevention in Valencia.Key words: UAV, meteodrone, weather data, upper air observationsAcknowledgements: This study forms part of the ThinkInAzul programme and was supported by MCIN with funding from European Union NextGenerationEU (PRTR-C17.I1) and by Generalitat Valenciana (THINKINAZUL/2021/018).","url":"https://doi.org/10.5194/ems2025-459","authors":["Cesar Azorin-Molina","Amir Pirooz","Nicholas Kay","Jose Gomez-Reyes"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-06-30T10:05:34Z","doi":"10.5194/ems2025-459","addedAt":"2026-08-31T06:40:02.531Z","updatedAt":"2026-08-31T06:40:02.531Z"},{"id":"doi:10.5194/egusphere-egu24-4589","name":"Retrieving leaf area index in wheat fields using unmanned aerial vehicle (UAV)-based LiDAR and hyperspectral imagery","source":"crossref","abstract":"Leaf Area Index (LAI) is a dimensionless measure representing the total leaf area per unit ground area. As such, LAI is a key parameter in crop models, as it directly influences the photosynthetic activity of crops, affecting their growth, development, and yield predictions. It also reflects the canopy structure, which plays an essential role in how the plant responds to environmental stresses. In this study, we used UAV-based light detection and ranging (LiDAR) data and hyperspectral imagery (HSI) as two modalities to predict LAI in a total of 60 plots within 10 wheat fields of various cultivars in the dryland areas of Israel. Field LAI was assessed via two methods &amp;#8211; destructive (Li3100C, Licor, Nebraska, USA) and optical (Li2200C, Licor, Nebraska, USA). The LAI in the wheat fields ranged from 0.25 m2 m&amp;#8211;2 to 7.7 m2 m&amp;#8211;2&amp;#160;(average LAI over the dataset was 1.5 m2 m&amp;#8211;2). To predict LAI, we used LiDAR-derived metrics such as height-related metrics (height percentiles and bi-centiles, canopy relief ratio (CRR), max, average, and mode height), and 3-D variables (3-D profile index (3DPI), 3-D voxel index (3DVI), and convex hull volumes), as well as spectral vegetation indices, in five machine learning (ML) algorithms &amp;#8211; simple linear regression (SLR), partial least squares regression (PLSR), support vector machine (SVM), Random Forest (RF), and Extreme Gradient Boosting (XGBoost). Single metric SLR resulted in R2 ranging from 0.32 to 0.55. More complex algorithms showed that the LiDAR-derived metrics were useful for estimating LAI at the plot level with a higher R2 &gt; 0.81 and an RMSE of less than 0.16 m2 m&amp;#8211;2 (c. 10%) for the ML algorithms. The 3-D variables were shown to be the most important and robust variables in the ML models for predicting LAI at the plot level, with some height-related variables showing great potential as well. This study is a unique first-step effort to evaluate UAV-LiDAR sensors in collecting high-quality, non-destructive, repeatable measurements of LAI. Such remote sensing information could be highly useful to calibrate and evaluate crop models while resolving the upscaling limitation from leaf to canopy.","url":"https://doi.org/10.5194/egusphere-egu24-4589","authors":["Gabriel Mulero","David Bonfil - Jacques","David Helman"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-03-08T13:34:41Z","doi":"10.5194/egusphere-egu24-4589","addedAt":"2026-08-31T06:40:02.531Z","updatedAt":"2026-08-31T06:40:02.531Z"},{"id":"doi:10.2139/ssrn.5124383","name":"Security Enhanced Lightweight Authentication Key Agreement Protocol for Unmanned Aerial Vehicle Communication","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.5124383","authors":["Zhoucan He","Yilong Zheng","Sisi Chen","Zhongze Du","Shuyuan Liu","Kailong Zhang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-02-04T16:42:26Z","doi":"10.2139/ssrn.5124383","addedAt":"2026-08-31T06:40:02.531Z","updatedAt":"2026-08-31T06:40:02.531Z"},{"id":"doi:10.36652/0869-4931-2025-79-3-125-128","name":"Approach to solving the problem of landing an unmanned aerial vehicle on a moving landing platform","source":"crossref","abstract":"The problem of landing an unmanned aerial vehicle (UAV) on a moving landing platform was researched. A new method for estimating angular oscillations experienced by a moving landing platform during UAV landing on it is presented. Several short-range beacons are placed on the landing platform, several antenna receivers are installed on board the UAV. The UAV estimates the values of the platform deviation angles from the horizon plane based on the known coordinates of the UAV and the center of the landing platform, which allows effective control of the landing process. Keywords unmanned aerial vehicle (UAV), mathematical model, short-range radio beacon, mobile landing platform, angular oscillations","url":"https://doi.org/10.36652/0869-4931-2025-79-3-125-128","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-03-26T07:22:00Z","doi":"10.36652/0869-4931-2025-79-3-125-128","addedAt":"2026-08-31T06:40:02.531Z","updatedAt":"2026-08-31T06:40:02.531Z"},{"id":"doi:10.54254/2977-3903/2025.24305","name":"Key technologies and application progress of civil unmanned aerial vehicle","source":"crossref","abstract":"This paper presents a comprehensive review of the key technologies and recent developments in the field of Civil Unmanned Aerial Vehicle (CUAV), systematically analyzing the latest developments in flight platform technology, propulsion and energy technology, and navigation and control systems. Special attention is given to the performance characteristics and application scenarios of fixed-wing, multi-rotor, and composite flight platforms, as well as to the advantages and limitations of lithium-ion and hydrogen fuel cells in terms of endurance, and the role of multi-sensor data fusion algorithms in navigation and control. By examining practical cases from typical fields such as aerial photography, logistics, and agriculture, this paper summarizes current technological achievements and application trends. Furthermore, it analyzes challenges in areas such as regulations and airspace management, safety, and technical limitations, while proposing future directions including technology integration, quantum communication, bio-inspired drones, and privacy and data protection. The research indicates that with the deeper application of emerging technologies like artificial intelligence and quantum communication, CUAV will achieve new breakthroughs in intelligence, autonomy, and safety, providing strong technological support for low-altitude economy and smart society.","url":"https://doi.org/10.54254/2977-3903/2025.24305","authors":["Jiawei Lyu"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-06-19T05:47:03Z","doi":"10.54254/2977-3903/2025.24305","addedAt":"2026-08-31T06:40:02.531Z","updatedAt":"2026-08-31T06:40:02.531Z"},{"id":"doi:10.36652/0869-4931-2025-79-12-545-553","name":"Batteries operation perfection for increasing of the aviation equipment efficiency (using a copter-type unmanned aerial vehicle as an example)","source":"crossref","abstract":"Analyzes scientific literature on improving the operation of batteries to improve the efficiency of unmanned aerial vehicles (UAVs) is carried out. А full-scale experiment aimed at upgrading batteries, especially, for using two or three batteries instead of one standard one, is considered. Recommendations are developed to increase the flight duration and improve the efficiency of the model under study for copter-type UAV. Their practical implementation will minimize the risks of aviation incidents and accidents, as well as increase the durability of the UAV. Factors reducing the survivability of batteries for copter-type UAVs are identified. Prospects for the development of technologies in the field of power supply for copter-type UAVs are shown.","url":"https://doi.org/10.36652/0869-4931-2025-79-12-545-553","authors":["Jilin","Ahlyustin"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-01-19T10:43:05Z","doi":"10.36652/0869-4931-2025-79-12-545-553","addedAt":"2026-08-31T06:40:02.531Z","updatedAt":"2026-08-31T06:40:02.531Z"},{"id":"doi:10.2139/ssrn.5089859","name":"Design, Modelling and Analysis of Unmanned Aerial Vehicle based on Coanda Effect","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.5089859","authors":["Maithili Pathak","Ninad Mehendale","Rajanarasimha Sangam","Dhwani Doshi","Aryan Nair","Jayesh Salvi"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-02-18T19:26:38Z","doi":"10.2139/ssrn.5089859","addedAt":"2026-08-31T06:40:02.531Z","updatedAt":"2026-08-31T06:40:02.531Z"},{"id":"doi:10.1515/9783111619323-008","name":"1958 Quantum-Supported UAV Environmental Sensing","source":"crossref","abstract":"","url":"https://doi.org/10.1515/9783111619323-008","authors":["Ruthwika Vemulapalli"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-08-04T11:29:17Z","doi":"10.1515/9783111619323-008","addedAt":"2026-08-31T06:40:02.531Z","updatedAt":"2026-08-31T06:40:02.531Z"},{"id":"doi:10.3390/electronics14071440","name":"Enhancing Machine Learning Techniques in VSLAM for Robust Autonomous Unmanned Aerial Vehicle Navigation","source":"crossref","abstract":"This study introduces a visual SLAM real-time system designed for small indoor environments. The system demonstrates resilience against significant motion clutter and supports wide-baseline loop closing, re-localization, and automatic initialization. Leveraging state-of-the-art algorithms, the approach presented in this article utilizes adapted Oriented FAST and Rotated BRIEF features for tracking, mapping, re-localization, and loop closing. In addition, the research uses an adaptive threshold to find putative feature matches that provide efficient map initialization and accurate tracking. The assignment is to process visual information from the camera of a DJI Tello drone for the construction of an indoor map and the estimation of the trajectory of the camera. In a ’survival of the fittest’ style, the algorithms selectively pick adaptive points and keyframes for reconstruction. This leads to robustness and a concise traceable map that develops as scene content emerges, making lifelong operation possible. The results give an improvement in the RMSE for the adaptive ORB algorithm and the adaptive threshold (3.280). However, the standard ORB algorithm failed to achieve the mapping process.","url":"https://doi.org/10.3390/electronics14071440","authors":["Hussam Rostum","József Vásárhelyi"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-04-02T16:19:16Z","doi":"10.3390/electronics14071440","addedAt":"2026-08-31T06:40:02.531Z","updatedAt":"2026-08-31T06:40:02.531Z"},{"id":"doi:10.36652/0042-4633-2025-104-535-539","name":"Digital design of an unmanned aerial vehicle for monitoring agricultural facilities","source":"crossref","abstract":"The necessity for the use of unmanned aerial vehicles (UAV) in the building and agricultural industries is substantiated. The problems solved with the use of unmanned aerial vehicles, such as field irrigation, crop monitoring, industrial equipment monitoring and aerial photography, are considered. The process of creating a digital twin of an unmanned aerial vehicle is considered and the developed design is described. The results of the engineering analysis of the digital twin of the unmanned aerial vehicle for strength determination are presented. Keywords construction industry, agricultural sector, digital twin, unmanned aerial vehicles, engineering calculation anciferov.sergey@gmail.com, evgeniy.sychov.015@gmail.com, karachevtseva.anastasiia@gmail.com, bocharnikova.anna8@gmail.com, Dima.karpachev1976@gmail.com, beren1989@yandex.ru","url":"https://doi.org/10.36652/0042-4633-2025-104-535-539","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-07-28T14:35:54Z","doi":"10.36652/0042-4633-2025-104-535-539","addedAt":"2026-08-31T06:40:02.531Z","updatedAt":"2026-08-31T06:40:02.531Z"},{"id":"doi:10.1109/leficlu65987.2025.11297396","name":"Improved YOLOv8 Algorithm of Image Recognition for Unmanned Aerial Vehicles","source":"crossref","abstract":"","url":"https://doi.org/10.1109/leficlu65987.2025.11297396","authors":["Suxiong Cai","Chenjing Wu","Wenchao Wang","Zhengchao Chu","Licheng Shi","Binbin Zhang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-12-19T18:56:52Z","doi":"10.1109/leficlu65987.2025.11297396","addedAt":"2026-08-31T06:40:02.531Z","updatedAt":"2026-08-31T06:40:02.531Z"},{"id":"doi:10.5539/ass.v13n2p134","name":"On the War Ethics of Unmanned Aerial Vehicle","source":"crossref","abstract":"The application of the armed UAV has been questioned for years. This paper hopes to examine the ethical rationality of using the armed UAV. Before this, we question some blames from the Pacifists, especially the blaming on using UAV in the military attack on terrorists. Ethical questions about the UAV’ military actions mainly concentrate in two aspects: the right to life and ethics of science and technology. The former involves the subjects' value sequencing and moral selection problem, which requires discussions under specific situations, otherwise it will make no sense. As for the latter, ethics of technology, defects would be resolved in the development. It’s important to not get technological risk and scientific ethics confused, which would make discussions on a wrong way. ions and laws related to deep seabed mining to mitigate its effect to the marine environment coinciding to the requirements of these conventions. The purpose of this study is to explore the preparedness of Malaysia to embark on exploration of deep seabed mining in areas beyond the national jurisdiction while observing the effects of deep seabed mining to the marine environment. The challenges in exploring the deep seabed mining as well as the relevant international and national laws related to deep seabed mining will also be observed in this study.","url":"https://doi.org/10.5539/ass.v13n2p134","authors":["Zhaolei Guo","Jie Ma","Xiaocun Wang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2017-01-19T07:14:25Z","doi":"10.5539/ass.v13n2p134","addedAt":"2026-08-31T06:40:02.531Z","updatedAt":"2026-08-31T06:40:02.531Z"},{"id":"doi:10.1016/j.compfluid.2025.106649","name":"High fidelity computational aerodynamics of micro unmanned aerial vehicle propeller","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.compfluid.2025.106649","authors":["Alexis Dorange","Christophe Benoit","Eric Garnier"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-05-07T02:54:23Z","doi":"10.1016/j.compfluid.2025.106649","addedAt":"2026-08-31T06:40:02.531Z","updatedAt":"2026-08-31T06:40:02.531Z"},{"id":"doi:10.1109/cac67268.2025.11487571","name":"Fault Detection of Unmanned Aerial Vehicle Actuators based on Physical Information Neural Networks","source":"crossref","abstract":"","url":"https://doi.org/10.1109/cac67268.2025.11487571","authors":["Fei Xue","Guodong Jin","Lining Tan","Chengzhi Qu"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-04-28T19:45:57Z","doi":"10.1109/cac67268.2025.11487571","addedAt":"2026-08-31T06:40:02.531Z","updatedAt":"2026-08-31T06:40:02.531Z"},{"id":"doi:10.1109/leficlu65987.2025.11297401","name":"LEF &amp; ICLU 2025 TOC","source":"crossref","abstract":"","url":"https://doi.org/10.1109/leficlu65987.2025.11297401","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-12-19T18:56:52Z","doi":"10.1109/leficlu65987.2025.11297401","addedAt":"2026-08-31T06:40:02.531Z","updatedAt":"2026-08-31T06:40:02.531Z"},{"id":"doi:10.24874/pes07.04a.020","name":"UNMANNED AERIAL VEHICLE PERSPECTIVE SMALL TARGET RECOGNITION ALGORITHM","source":"crossref","abstract":"","url":"https://doi.org/10.24874/pes07.04a.020","authors":["Pooja Dahiya","Suman Mann","Deepshikha Yadav"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-12-27T07:44:21Z","doi":"10.24874/pes07.04a.020","addedAt":"2026-08-31T06:40:02.531Z","updatedAt":"2026-08-31T06:40:02.531Z"},{"id":"doi:10.1109/igarss55030.2025.11243092","name":"RCNN Algorithm for Oil Palm Tree Imagery Counting Using Unmanned Aerial Vehicle (UAV) Data","source":"crossref","abstract":"","url":"https://doi.org/10.1109/igarss55030.2025.11243092","authors":["Valent Setiawan","Edy Irwansyah"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-11-25T18:26:49Z","doi":"10.1109/igarss55030.2025.11243092","addedAt":"2026-08-31T06:40:02.531Z","updatedAt":"2026-08-31T06:40:02.531Z"},{"id":"doi:10.2514/6.2025-1345","name":"Autonomous 3D Reconstruction With Small Unmanned Aerial Vehicle (UAV) Using Structure From Motion: Practical Aspects","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2025-1345","authors":["Nathan Rayon","Raymond Stevens","Hakki Erhan Sevil"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-02-12T09:44:16Z","doi":"10.2514/6.2025-1345","addedAt":"2026-08-31T06:40:02.531Z","updatedAt":"2026-08-31T06:40:02.531Z"},{"id":"doi:10.1109/cac67268.2025.11487188","name":"Limited Authority Finite-time Model Reference Control Method for Unmanned Aerial Vehicle","source":"crossref","abstract":"","url":"https://doi.org/10.1109/cac67268.2025.11487188","authors":["Guanlin Li","Yongtao Peng","Qiangwei Yang","Zhao Ma","Xudong Huang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-04-28T19:45:57Z","doi":"10.1109/cac67268.2025.11487188","addedAt":"2026-08-31T06:40:02.531Z","updatedAt":"2026-08-31T06:40:02.531Z"},{"id":"doi:10.1109/pci66488.2025.11219840","name":"Using the Machine Vision System of an Unmanned Aerial Vehicle to Orientation Unmanned Ground Complexes in Non-Deterministic Conditions","source":"crossref","abstract":"","url":"https://doi.org/10.1109/pci66488.2025.11219840","authors":["Pavel Khrustalev","Roman Smyshnikov","Sergei Matveev","Dmitrii Bryndin"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-11-06T18:48:45Z","doi":"10.1109/pci66488.2025.11219840","addedAt":"2026-08-31T06:40:02.531Z","updatedAt":"2026-08-31T06:40:02.531Z"},{"id":"doi:10.3390/app15052789","name":"DGBL-YOLOv8s: An Enhanced Object Detection Model for Unmanned Aerial Vehicle Imagery","source":"crossref","abstract":"Unmanned aerial vehicle (UAV) imagery often suffers from significant object scale variations, high target density, and varying distances due to shooting conditions and environmental factors, leading to reduced robustness and low detection accuracy in conventional models. To address these issues, this study adopts DGBL-YOLOv8s, an improved object detection model tailored for UAV perspectives based on YOLOv8s. First, a Dilated Wide Residual (DWR) module is introduced to replace the C2f module in the backbone network of YOLOv8, enhancing the model’s capability to capture fine-grained features and contextual information. Second, the neck structure is redesigned by incorporating a Global-to-Local Spatial Aggregation (GLSA) module combined with a Bidirectional Feature Pyramid Network (BiFPN), which strengthens feature fusion. Third, a lightweight shared convolution detection head is proposed, incorporating shared convolution and batch normalization techniques. Additionally, to further improve small object detection, a dedicated small-object detection head is introduced. Results from experiments on the VisDrone dataset reveal that DGBL-YOLOv8s enhances detection accuracy by 8.5% relative to the baseline model, alongside a 34.8% reduction in parameter count. The overall performance exceeds most of the current detection models, which confirms the advantages of the proposed improvement.","url":"https://doi.org/10.3390/app15052789","authors":["Chonghao Wang","Huaian Yi"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-03-05T03:18:22Z","doi":"10.3390/app15052789","addedAt":"2026-08-31T06:40:02.531Z","updatedAt":"2026-08-31T06:40:02.531Z"},{"id":"doi:10.61359/11.2106-2524","name":"Comparison of Materials for Unmanned Aerial Vehicle","source":"crossref","abstract":"This paper emphasis and gives detailed study about the comparison between the materials used in structuring the Unmanned Aerial Vehicle. The requirements of these materials on Unmanned Aerial Vehicle are with respect to their physical and mechanical properties. The paper shows us the theoretical approach to the result by comparing the properties like, strength to weight ratio, ease of shape ability, low corrosion, less inflammable, endurance limit, low thermal gradient, and high performance. In order to satisfy these requirements, the materials compared in this paper are metal alloys like Aluminium alloys, Steel alloys and Titanium alloys with composite such as Carbon Fiber, and Glass Fiber","url":"https://doi.org/10.61359/11.2106-2524","authors":["Ashi Akankhya Bhaghel","Akshay Gharat","Swagata Paul","Rashi Rananavare"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-05-01T08:16:47Z","doi":"10.61359/11.2106-2524","addedAt":"2026-08-31T06:40:02.531Z","updatedAt":"2026-08-31T06:40:02.531Z"},{"id":"doi:10.1109/icvrv67992.2025.00089","name":"RTSE-DETR:Real-Time Small Object Detection with Semantics Enhancement for Unmanned Aerial Vehicle Imagery","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icvrv67992.2025.00089","authors":["Xianyv Jiang","Jun Lu"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-03-06T20:58:02Z","doi":"10.1109/icvrv67992.2025.00089","addedAt":"2026-08-31T06:40:02.531Z","updatedAt":"2026-08-31T06:40:02.531Z"},{"id":"doi:10.1109/iraset64571.2025.11008313","name":"Unmanned Aerial Vehicle Configuration Method for Wireless Networks","source":"crossref","abstract":"","url":"https://doi.org/10.1109/iraset64571.2025.11008313","authors":["Anmol Agarwal","Rakshesh P. Bhatt"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-05-26T17:50:32Z","doi":"10.1109/iraset64571.2025.11008313","addedAt":"2026-08-31T06:40:02.531Z","updatedAt":"2026-08-31T06:40:02.531Z"},{"id":"doi:10.25791/aviakosmos.4.2025.1476","name":"ФУНКЦИОНАЛЬНАЯ АВТОНОМНОСТЬ ИНТЕЛЛЕКТУАЛЬНОЙ СИСТЕМЫ УПРАВЛЕНИЯ БЕСПИЛОТНОГО ЛЕТАТЕЛЬНОГО АППАРАТА","source":"crossref","abstract":"Проанализированы подходы к обеспечению автономности построения систем управления интеллектуальных беспилотных объектов. Предложено необходимыми и достаточными условиями автономности считать адаптивность к окружающей среде, обученность стратегиям поведения в проблемных средах и самодостаточность функционирования. Введено определение, критерии и показатели понятия «(функциональной автономности» и кратко описаны семь основных видов ее обеспечения. Изложение проводится на примере автономного беспилотного летательного аппарата с целевой функцией мониторинга местности с обнаружением, распознаванием и идентификацией объектов интереса, обладающего системой технического зрения, обученного «на прецедентах» стратегиям управления в сложных средах с возможностью восстановления работоспособности путем резервирования. The approaches to ensuring the autonomy of the construction of control systems for intelligent unmanned objects analyzed. The necessary and sufficient conditions for autonomy are adaptability to the environment, learning strategies for behavior in problematic environments, and self-sufficiency offunctioning proposed. The definition, criteria, and indicators of the concept of \"functional autonomy\" introduced, and seven main types of its provision briefly described. The presentation carried out on the example of an autonomous unmanned aerial vehicle with the target function of monitoring the terrain with detection, recognition, and identification of objects of interest, possessing a technical vision system, trained \"on precedents\" in control strategies in complex environments with the ability to restore operability through redundancy.","url":"https://doi.org/10.25791/aviakosmos.4.2025.1476","authors":["К. АБРОСИМОВ В"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-06-26T14:41:22Z","doi":"10.25791/aviakosmos.4.2025.1476","addedAt":"2026-08-31T06:40:02.531Z","updatedAt":"2026-08-31T06:40:02.531Z"},{"id":"doi:10.18372/1990-5548.85.20430","name":"Decentralized Local-priority Communication Protocol for Small Unmanned Aerial Vehicle Swarms","source":"crossref","abstract":"The paper proposes a decentralized communication protocol for small swarms of unmanned aerial vehicles that provides prioritized access to the control channel with limited radio resources. The approach is based on local priority selection, agent slot mapping with seat rotation for long-term fairness, and probabilistic sparsity within. This combination manages the load in a mathematical expectation, reduces the probability of collisions, and ensures low latency delivery of priority control messages without a central dispatcher. The simulation results for a swarm of 12 unmanned aerial vehicles demonstrate an increase in usable throughput, median delay at the level of one epoch, and collision rate at the level of the baseline approach with a significantly higher number of successful transmissions.","url":"https://doi.org/10.18372/1990-5548.85.20430","authors":["Victor Sineglazov","Denys Taranov"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-10-13T10:56:49Z","doi":"10.18372/1990-5548.85.20430","addedAt":"2026-08-31T06:40:02.531Z","updatedAt":"2026-08-31T06:40:02.531Z"},{"id":"doi:10.2139/ssrn.5165809","name":"Dynamic Deformable Convolution-Guided Bidirectional Network for Unmanned Aerial Vehicle Image Object Detection","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.5165809","authors":["Fen Xiao","Xiang Li","Han Xiang","Jingwen Cai","Zhengdong Pu","Xieping Gao"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-03-05T04:38:21Z","doi":"10.2139/ssrn.5165809","addedAt":"2026-08-31T06:40:02.531Z","updatedAt":"2026-08-31T06:40:02.531Z"},{"id":"doi:10.1109/mac64480.2025.11140587","name":"Emerging Technologies and Advancement in Unmanned Aerial Vehicle Communications for Sustainable Smart Cities","source":"crossref","abstract":"","url":"https://doi.org/10.1109/mac64480.2025.11140587","authors":["Priyanka Mishra","G Singh"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-09-04T18:16:42Z","doi":"10.1109/mac64480.2025.11140587","addedAt":"2026-08-31T06:40:02.531Z","updatedAt":"2026-08-31T06:40:02.531Z"},{"id":"doi:10.1007/978-981-96-2512-3_6","name":"Unmanned Aerial Vehicle with Stable Flight for Power Inspection","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-981-96-2512-3_6","authors":["Yaonan Wang","Yanjie Chen","Hang Zhong","Jiacheng Liang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-03-05T06:29:51Z","doi":"10.1007/978-981-96-2512-3_6","addedAt":"2026-08-31T06:40:02.531Z","updatedAt":"2026-08-31T06:40:02.531Z"},{"id":"doi:10.1109/aiesre67541.2025.11470244","name":"Equivalent Consumption Minimization Strategy for Energy Management in Unmanned Aerial Vehicle","source":"crossref","abstract":"","url":"https://doi.org/10.1109/aiesre67541.2025.11470244","authors":["Haroune Aouzellag","Sabrina Nacef"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-04-15T19:22:33Z","doi":"10.1109/aiesre67541.2025.11470244","addedAt":"2026-08-31T06:40:02.531Z","updatedAt":"2026-08-31T06:40:02.531Z"},{"id":"doi:10.1117/12.3080325","name":"Research on the design of unmanned aerial vehicle for high-altitude curtain wall cleaning","source":"crossref","abstract":"","url":"https://doi.org/10.1117/12.3080325","authors":["Lingmi Wu"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-09-09T16:54:27Z","doi":"10.1117/12.3080325","addedAt":"2026-08-31T06:40:02.531Z","updatedAt":"2026-08-31T06:40:02.531Z"},{"id":"doi:10.1109/icc52391.2025.11161563","name":"Coverage Analysis for Unmanned Aerial Vehicle Assisted 5G Network Over Fox's H Channel","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icc52391.2025.11161563","authors":["Mohamed Amine Ouamri","Daljeet Singh","Yacine Benallouche"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-09-26T17:34:55Z","doi":"10.1109/icc52391.2025.11161563","addedAt":"2026-08-31T06:40:02.531Z","updatedAt":"2026-08-31T06:40:02.531Z"},{"id":"doi:10.54254/2755-2721/2025.ld28117","name":"Cooperative Control of Unmanned Aerial Vehicle (UAV) Swarms and Swarm Intelligence","source":"crossref","abstract":"The rapid advancement of drone swarm technology offers immense potential in areas such as disaster relief and anti-flood efforts. However, in some cases, they still have many problems, for example, unexpected emergent behaviours, difficulty in chronic communication and cybersecurity problems. This paper aims to improve the gait and efficiency of cooperative drone swarms by developing an integrated framework that combines hybrid A*-based path planning, multiple-mode communication architectures, and a fault-tolerant control system. Besides, the paper also applies the energy-aware heuristics, dynamic obstacle prediction and decentralised consensus algorithms for real-time adaptation and strong coordination. The results show remarkable improvement in formation stability, enabling the task to be completed and work appropriately in a dynamic environment. In real-life situations, the paper can utilise this app in earthquake rescue missions and urban logistics organisations to demonstrate the system's expandability and adaptability. This research advances the field of drone swarm technology, utilising both civilian and defence applications. The paper also explores the ethics and sustainable design implications for future advancements.","url":"https://doi.org/10.54254/2755-2721/2025.ld28117","authors":["Ziyuan Huang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-10-22T17:16:39Z","doi":"10.54254/2755-2721/2025.ld28117","addedAt":"2026-08-31T06:40:02.531Z","updatedAt":"2026-08-31T06:40:09.896Z"},{"id":"doi:10.1109/leficlu65987.2025.11297313","name":"LEF &amp; ICLU 2025 Copyright Page","source":"crossref","abstract":"","url":"https://doi.org/10.1109/leficlu65987.2025.11297313","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-12-19T18:56:52Z","doi":"10.1109/leficlu65987.2025.11297313","addedAt":"2026-08-31T06:40:02.531Z","updatedAt":"2026-08-31T06:40:02.531Z"},{"id":"doi:10.17559/tv-20250211002362","name":"Implementation of Unmanned Aerial Vehicle Flight Path Planning Software Based on Integral Compensation Reinforcement Learning Algorithm","source":"crossref","abstract":"","url":"https://doi.org/10.17559/tv-20250211002362","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-09-06T18:57:26Z","doi":"10.17559/tv-20250211002362","addedAt":"2026-08-31T06:40:02.531Z","updatedAt":"2026-08-31T06:40:02.531Z"},{"id":"doi:10.1109/mlsd65526.2025.11220276","name":"Methodology for Estimating the Cost of Developing an Unmanned Aerial Vehicle","source":"crossref","abstract":"","url":"https://doi.org/10.1109/mlsd65526.2025.11220276","authors":["B.B. Safoklov","S.A. Serebrianskii"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-11-04T18:34:22Z","doi":"10.1109/mlsd65526.2025.11220276","addedAt":"2026-08-31T06:40:02.531Z","updatedAt":"2026-08-31T06:40:02.531Z"},{"id":"doi:10.1109/raiic65850.2025.11170260","name":"Unmanned Aerial Vehicle Road Crack Detection Method Based on Improved YOLO11","source":"crossref","abstract":"","url":"https://doi.org/10.1109/raiic65850.2025.11170260","authors":["Junxian Chen","Hankui Liu"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-10-08T17:35:23Z","doi":"10.1109/raiic65850.2025.11170260","addedAt":"2026-08-31T06:40:02.531Z","updatedAt":"2026-08-31T06:40:02.531Z"},{"id":"doi:10.1109/nnice64954.2025.11064533","name":"A Deep Reinforcement Learning Approach for Slot Allocation in Unmanned Aerial Vehicle Networks","source":"crossref","abstract":"","url":"https://doi.org/10.1109/nnice64954.2025.11064533","authors":["Yongkang Li"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-07-15T17:39:55Z","doi":"10.1109/nnice64954.2025.11064533","addedAt":"2026-08-31T06:40:02.531Z","updatedAt":"2026-08-31T06:40:02.531Z"},{"id":"doi:10.1109/robio66223.2025.11377344","name":"A*-RRT Based Path Planning in Complex Environment for Unmanned Aerial Vehicle","source":"crossref","abstract":"","url":"https://doi.org/10.1109/robio66223.2025.11377344","authors":["Tangle Peng","Jin Hu","Yimin Zhou"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-02-23T20:43:52Z","doi":"10.1109/robio66223.2025.11377344","addedAt":"2026-08-31T06:40:02.531Z","updatedAt":"2026-08-31T06:40:02.531Z"},{"id":"doi:10.1109/leficlu65987.2025.11297257","name":"LEF &amp; ICLU 2025 Cover Page","source":"crossref","abstract":"","url":"https://doi.org/10.1109/leficlu65987.2025.11297257","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-12-19T18:56:52Z","doi":"10.1109/leficlu65987.2025.11297257","addedAt":"2026-08-31T06:40:02.531Z","updatedAt":"2026-08-31T06:40:02.531Z"},{"id":"doi:10.1109/uralcon67204.2025.11206553","name":"New Mobile Device for Water Collection Accompanied by an Unmanned Aerial Vehicle","source":"crossref","abstract":"","url":"https://doi.org/10.1109/uralcon67204.2025.11206553","authors":["Islam Magomedov","Nurmukhamed A. Kashirokov","Elah Magomedov"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-10-28T17:31:29Z","doi":"10.1109/uralcon67204.2025.11206553","addedAt":"2026-08-31T06:40:02.531Z","updatedAt":"2026-08-31T06:40:02.531Z"},{"id":"doi:10.4018/979-8-3693-8462-6.ch006","name":"Aerodynamics Principles and Advances in Unmanned Aerial Vehicles","source":"crossref","abstract":"Through advancements in aerodynamics and design, Unmanned Aerial Vehicles (UAV) have transformed a variety of industries, such as agriculture, defense, logistics, and environmental monitoring. This paper offers a thorough examination of the aerodynamic principles and design considerations that serve as the foundation for the advancement of contemporary unmanned aerial vehicles. The article addresses critical components, including energy efficiency, lift-to-drag ratio optimization, stability, and weight reduction, and emphasizes the ways in which these principles contribute to improved performance and operational range. Furthermore, the paper investigates the most recent technological development, such as autonomous navigation algorithms, propulsion systems, and innovative materials, that are influencing the next iteration of unmanned aerial vehicles (UAVs). UAVs are becoming increasingly efficient, versatile, and capable of executing intricate missions with minimal human intervention as a result of the integration of advanced design and control systems with cutting-edge aerodynamics.","url":"https://doi.org/10.4018/979-8-3693-8462-6.ch006","authors":["G. Prasad"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-08-05T12:07:31Z","doi":"10.4018/979-8-3693-8462-6.ch006","addedAt":"2026-08-31T06:40:02.531Z","updatedAt":"2026-08-31T06:40:02.531Z"},{"id":"doi:10.1088/1742-6596/2977/1/012018","name":"Design and aerodynamic analysis of a samara-inspired unmanned aerial vehicle","source":"crossref","abstract":"Abstract This paper presents the design and aerodynamic analysis of a novel unmanned aerial vehicle (UAV) inspired by the samara seed’s natural flight mechanics. The UAV is designed to emulate the self-stabilizing spin behavior of the winged seed during descent, offering an innovative approach to UAV swarm applications. The aircraft incorporates a spinning wing, a load-bearing fuselage, and integrated propulsion and control systems, optimized for both military and civilian use. Using computational fluid dynamics (CFD) simulations, the aerodynamic performance of the UAV was evaluated under various operational conditions, focusing on lift generation, stability, and control dynamics. The results demonstrate that the samara-inspired design achieves stable spin flight and adequate lift to carry a payload while maintaining lateral stability. Potential applications for this design include precision aerial delivery, reconnaissance, and environmental monitoring.","url":"https://doi.org/10.1088/1742-6596/2977/1/012018","authors":["Hongming Shi"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-03-19T17:54:02Z","doi":"10.1088/1742-6596/2977/1/012018","addedAt":"2026-08-31T06:40:02.531Z","updatedAt":"2026-08-31T06:40:02.531Z"},{"id":"doi:10.70322/dav.2025.10017","name":"Guidance and Control System for an Unmanned Combat Aerial Vehicle as a Wingman","source":"crossref","abstract":"","url":"https://doi.org/10.70322/dav.2025.10017","authors":["A. Alhosani Faisal","F. Whidborne James"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-10-13T07:29:08Z","doi":"10.70322/dav.2025.10017","addedAt":"2026-08-31T06:40:02.531Z","updatedAt":"2026-08-31T06:40:02.531Z"},{"id":"doi:10.1109/ccnis69465.2025.00080","name":"Optimization of Unmanned Aerial Vehicle Cluster Communication Nodes Based on Deep Q-Learning Networks","source":"crossref","abstract":"","url":"https://doi.org/10.1109/ccnis69465.2025.00080","authors":["Liyuan Huang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-03-05T20:42:12Z","doi":"10.1109/ccnis69465.2025.00080","addedAt":"2026-08-31T06:40:02.531Z","updatedAt":"2026-08-31T06:40:02.531Z"},{"id":"doi:10.1002/9781394369485.fmatter","name":"Artificial Intelligence for Unmanned Aerial Vehicles","source":"crossref","abstract":"","url":"https://doi.org/10.1002/9781394369485.fmatter","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-12-31T14:58:52Z","doi":"10.1002/9781394369485.fmatter","addedAt":"2026-08-31T06:40:02.531Z","updatedAt":"2026-08-31T06:40:02.531Z"},{"id":"doi:10.7759/s44389-025-10304-8","name":"Comparative Analysis of Unmanned Aerial Vehicle and Ground-Level Data Using Computer Vision in Agriculture","source":"crossref","abstract":"","url":"https://doi.org/10.7759/s44389-025-10304-8","authors":["Sanjay K Gupta","Rashi Agarwal"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-11-04T05:23:41Z","doi":"10.7759/s44389-025-10304-8","addedAt":"2026-08-31T06:40:02.531Z","updatedAt":"2026-08-31T06:40:02.531Z"},{"id":"doi:10.1109/spic68204.2025.11470945","name":"Research on Electronic Safety System of Unmanned Aerial Vehicle Mounted Missile","source":"crossref","abstract":"","url":"https://doi.org/10.1109/spic68204.2025.11470945","authors":["Jun Lu","Zhiheng Sha","Yongping Hao"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-04-16T19:50:29Z","doi":"10.1109/spic68204.2025.11470945","addedAt":"2026-08-31T06:40:02.531Z","updatedAt":"2026-08-31T06:40:02.531Z"},{"id":"doi:10.1109/icdcece65353.2025.11034879","name":"Unmanned Aerial Vehicle Delivery Scheduling Algorithm under the Background of Smart Supply Chain","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icdcece65353.2025.11034879","authors":["Haimin Li"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-06-18T17:35:30Z","doi":"10.1109/icdcece65353.2025.11034879","addedAt":"2026-08-31T06:40:02.531Z","updatedAt":"2026-08-31T06:40:05.992Z"},{"id":"pmid:41166779","name":"A deep learning-based method for marine oil spill detection and its application in UAV imagery.","source":"pubmed","abstract":"With the increasing intensity of marine resource exploitation, oil spill incidents have become more frequent and now represent a significant source of pollution threatening the stability of marine ecosystems and the security of coastal economies. Oil spills not only cause long-term deterioration in seawater quality but also exert direct toxic effects on marine animals including birds, fish, and plankton, resulting in habitat degradation, mass mortality, and trophic cascade disruptions. These ecological impacts are extensive and persistent, highlighting the urgent need for an efficient and intelligent detection mechanism to enable early warning and rapid response. To address the limitations of traditional manual inspection and radar-based identification methods-such as low temporal efficiency and limited detection accuracy-this study develops a YOLOv12-based oil spill detection framework for Unmanned Aerial Vehicle (UAV) imagery. The proposed method aims to enhance the accuracy of oil spill detection and the precision of boundary delineation, thereby offering technical support for marine ecological protection. In the study, a complete detection pipeline is designed, accompanied by the construction of a remote sensing image dataset encompassing diverse oil spill morphologies, varying marine interference conditions, and multi-scale objects. To further improve the model's capacity for representing pollution-related features, the training process integrates high-resolution input, pretrained weight initialization, and a cosine annealing learning rate scheduling strategy. During the model training, loss functions including Box_Loss, Cls_Loss, and Dfl_Loss exhibit rapid convergence, ultimately achieving an F1 Score of 0.7929, mAP@0.5 of 0.8334, and mAP@0.5-0.95 of 0.7503 on the test set. Accordingly, the Precision-Recall curves exhibit a smooth distribution, indicating favorable performance in both the accuracy of oil spill detection and the precision of boundary regression. The model also achieved stable detection of oil spill regions against complex backgrounds in static image tests and maintained consistent inter-frame detection and sustained target tracking capability in typical dynamic video scenarios. The study concludes that YOLOv12 provides foundational support for ecological risk assessment, pollution distribution monitoring, and wildlife protection responses, demonstrating promising potential for real-world applications.","url":"https://pubmed.ncbi.nlm.nih.gov/41166779/","authors":["He L","Zhou Y","Yang H","Su L","Ma J"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2026 Jan","doi":"10.1016/j.marpolbul.2025.118889","addedAt":"2026-08-31T06:40:02.532Z","updatedAt":"2026-08-31T06:40:02.907Z"},{"id":"pmid:41166348","name":"ALGA-DenseNet ground-based cloud classification network based on multi-scale features.","source":"pubmed","abstract":"Automatic recognition of ground-based clouds is crucial for meteorology and especially for the operational safety of Unmanned Aerial Vehicles (UAVs), but it is challenged by variable cloud shapes, complex lighting, and background interference. This paper introduces ALGA-DenseNet, an improved DenseNet model with a multi-scale attention mechanism. The model employs Color Jitter to enhance image robustness and improve learning of intra-class variations and inter-class differences. It incorporates Adaptive Local and Global Attention (ALGA) to merge features, enhancing feature selection. Additionally, it integrates mixed and depthwise separable convolutions to optimize multi-scale feature extraction, reducing parameters and computational complexity. Furthermore, integrating a Vision Transformer (ViT) and Dynamic Multi-head Attention (DMA) enhances representation of complex cloud features. Experimental results show recognition accuracies of 97.94% on the TJNU (Tianjin Normal University) Ground-based Cloud Dataset (GCD) and 97.25% on the Cirrus Cumulus Stratus Nimbus (CCSN) dataset. This indicates the model's capability for fine-grained, multi-scale extraction of cloud textures, shapes, and color features, along with strong generalization performance.","url":"https://pubmed.ncbi.nlm.nih.gov/41166348/","authors":["Tu B","Zhou H","Han X","Bao J","Zhao L","Hui N"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.1371/journal.pone.0333999","addedAt":"2026-08-31T06:40:02.532Z","updatedAt":"2026-08-31T06:40:02.532Z"},{"id":"pmid:41160592","name":"A stochastic wideband propagation-graph channel model for plants-affected drones air-to-ground mmWave communications.","source":"pubmed","abstract":"Unmanned aerial vehicles (UAVs) are experiencing extensive worldwide application across various fields, particularly in outdoor scenarios that often involve vegetation. A comprehensive understanding of the air-to-ground (A2G) wireless link channel and fading characteristics is crucial for the deployment and optimization of communication systems. In this paper, we propose a A2G wideband wireless channel model that integrates line-of-sight (LoS), reflection, and scattering propagation mechanisms at typical millimeter-wave (mmWave) bands based on the stochastic propagation-graph model. First, a geometric fractal tree modeling method is introduced to represent a single tree, the size and distribution of trees are modeled based on the stochastic theory. The propagation-graph (PG) model is then employed to simulate the A2G channel impulse response (CIR) at 28 GHz, taking into account maximal propagation delay constraints. On this basis, we investigate the spatial cross-correlation function (CCF) at different positions and effects of different UAV heights and circular movement radii on delay spread. Additionally, we study key small-scale statistical channel properties, including the power delay profile (PDP), power angular profile (PAP), and Doppler power spectrum density (DPSD). Our simulation results demonstrate that vegetation significantly impacts channel dispersion in spatial-temporal-frequency domains, and our model effectively captures the non-stationarity of UAV A2G channels.","url":"https://pubmed.ncbi.nlm.nih.gov/41160592/","authors":["Zhang J","Liu L","Li SB","Xu Y"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.1371/journal.pone.0333929","addedAt":"2026-08-31T06:40:02.532Z","updatedAt":"2026-08-31T06:40:02.532Z"},{"id":"pmid:41157542","name":"TranSIC-Net: An End-to-End Transformer Network for OFDM Symbol Demodulation with Validation on DroneID Signals.","source":"pubmed","abstract":"Demodulating Orthogonal Frequency Division Multiplexing (OFDM) signals in complex wireless environments remains a fundamental challenge, especially when traditional receiver designs rely on explicit channel estimation under adverse conditions such as low signal-to-noise ratio (SNR) or carrier frequency offset (CFO). Motivated by practical challenges in decoding DroneID-a proprietary OFDM-like signaling format used by DJI drones with a nonstandard frame structure-we present TranSIC-Net, a Transformer-based end-to-end neural network that unifies channel estimation and symbol detection within a single architecture. Unlike conventional methods that treat these steps separately, TranSIC-Net implicitly learns channel dynamics from pilot patterns and exploits the attention mechanism to capture inter-subcarrier correlations. While initially developed to tackle the unique structure of DroneID, the model demonstrates strong generalizability: with minimal adaptation, it can be applied to a wide range of OFDM systems. Extensive evaluations on both synthetic OFDM waveforms and real-world unmanned aerial vehicle (UAV) signals show that TranSIC-Net consistently outperforms least-squares plus zero-forcing (LS+ZF) and leading deep learning baselines such as ProEsNet in terms of bit error rate (BER), estimation accuracy, and robustness-highlighting its effectiveness and flexibility in practical wireless communication scenarios.","url":"https://pubmed.ncbi.nlm.nih.gov/41157542/","authors":["Wang Z","Xu ZX"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025 Oct 21","doi":"10.3390/s25206488","addedAt":"2026-08-31T06:40:02.532Z","updatedAt":"2026-08-31T06:40:02.532Z"},{"id":"pmid:41157448","name":"Channel Estimation in UAV-Assisted OFDM Systems by Leveraging LoS and Echo Sensing with Carrier Aggregation.","source":"pubmed","abstract":"Unmanned aerial vehicle (UAV)-assisted wireless communication systems often employ the carrier aggregation (CA) technique to alleviate the issue of insufficient bandwidth. However, in high-mobility UAV communication scenarios, the dynamic channel characteristics pose significant challenges to channel estimation (CE). Given these challenges, this paper proposes a line-of-sight (LoS) and echo sensing-based CE scheme for CA-enabled UAV-assisted communication systems. Firstly, LoS sensing and echo sensing are employed to obtain sensing-assisted prior information, which refines the CE for the primary component carrier (PCC). Subsequently, the path-sharing property between the PCC and secondary component carriers (SCCs) is exploited to reconstruct SCC channels in the delay-Doppler (DD) domain through a three-stage process. The simulation results demonstrate that the proposed method effectively enhances the CE accuracy for both the PCC and SCCs. Furthermore, the proposed scheme exhibits robustness against parameter variations.","url":"https://pubmed.ncbi.nlm.nih.gov/41157448/","authors":["Chen Z","Wu W","Wang R","Liang M","Zhang W","Yao S","Hu W","Qing C"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025 Oct 16","doi":"10.3390/s25206392","addedAt":"2026-08-31T06:40:02.532Z","updatedAt":"2026-08-31T06:40:02.532Z"},{"id":"pmid:41157320","name":"Joint Trajectory and IRS Phase Shift Optimization for Dual IRS-UAV-Assisted Uplink Data Collection in Wireless Sensor Networks.","source":"pubmed","abstract":"Intelligent reflecting surface-assisted unmanned aerial vehicles (IRS-UAVs) have been widely applied in various communication scenarios. This paper addressed the uplink communication problem in wireless sensor networks (WSNs) by proposing a novel double IRS-UAVs assisted framework to improve the pairwise sum rate. Specifically, nodes with relatively short signal transmission distances upload signals via a single-reflection link, while nodes with relatively long distances upload signals through a dual-reflection link involving two IRSs. Within each work cycle, the IRS-UAVs followed a fixed service sequence to cyclically assist all sensor node pairs. We designed a joint optimization algorithm that simultaneously optimized the UAV trajectories and IRS phase shifts to maximize the pairwise sum rate while guaranteeing each node's transmission rate meets a minimum quality of service (QoS) constraint. Specifically, we introduce slack variables to linearize the inherently nonlinear constraints arising from interdependent variables, thereby transforming each subproblem into a more manageable form. These subproblems are then solved iteratively within a coordinated optimization framework: in each iteration, one subproblem is optimized while keeping variables of others fixed, and the solutions are alternately updated to refine the overall performance. The numerical results show that this algorithm can effectively optimize the flight trajectory of the unmanned aircraft and significantly improve the pairwise total rate of the system. Compared with the two traditional schemes, the average optimization rates are 11.91% and 16.36%.","url":"https://pubmed.ncbi.nlm.nih.gov/41157320/","authors":["Zou H","Guo H"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025 Oct 10","doi":"10.3390/s25206265","addedAt":"2026-08-31T06:40:02.532Z","updatedAt":"2026-08-31T06:40:02.532Z"},{"id":"pmid:41152315","name":"A dual-channel hyperspectral classification method based on NAS and transformer.","source":"pubmed","abstract":"Transformer networks present excellent performance in capturing long distance dependencies between different locations in the input sequence and are highly capable on a global scale. Recently, several neural architecture search (NAS) algorithms have been proposed for hyperspectral image (HSI) classification, which further improves the accuracy of HSI classification to a new level with more attention paid to local information. However, current two-channel network methods cannot focus on both local and global information of hyperspectral images, which leads to a decrease in the classification accuracy of this type of data. In this paper, a two-channel network named CTmixer-NAS is proposed for hyperspectral image classification. Combining the advantages of NAS and Transformer networks, local and global information is captured simultaneously. In the Transformer branch, the fusion of information at different self-coding layers is proposed. In the CNN branch, a high-performance network structure is automatically designed using NAS, which improves the accuracy of hyperspectral classification. The proposed approach saves labor cost, and the most suitable network structure can be searched according to different datasets, which makes the searched network structure present better generalization performance. CTmixer-NAS achieves the best performance in five hyperspectral datasets in comparative experiments.","url":"https://pubmed.ncbi.nlm.nih.gov/41152315/","authors":["Liu W","Li J","Zeng Y","Meng N","Zhao J"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025 Oct 28","doi":"10.1038/s41598-025-21399-3","addedAt":"2026-08-31T06:40:02.532Z","updatedAt":"2026-08-31T06:40:02.532Z"},{"id":"pmid:41150705","name":"ACCYolo: Transmission equipment inspection image detection method based on multi-scale and occluded targets.","source":"pubmed","abstract":"With the rising global demand for electricity, transmission infrastructure is becoming increasingly important as a key support for ensuring stable and reliable power supply.In recent years, UAVs have been widely used in the inspection and maintenance of transmission equipment due to their advantages of high efficiency, flexibility and intelligence, which have greatly improved the operation and maintenance efficiency and safety level.However, the transmission equipment itself is exposed to harsh natural environments during prolonged use, such as high temperatures, humidity changes, wind and sand erosion, as well as electromagnetic interference, coupled with complex topographical features, such as mountainous, hilly, and forested areas, which result in the transmission equipment inspection process being challenged by occlusion and large differences in dimensions.To cope with these problems, this paper proposes ACCYolo. a model based on the YOLOv10n architecture with the goal of improving image detection of transmission equipment under multi-scale and occluded targets in UAV-based scenes.On the one hand, the ACCYolo model, to solve the occlusion problem, incorporates the Acmix model, which incorporates the self-attention mechanism to achieve dynamic feature extraction, effectively improving the detection performance of the model in overlapping scenes.On the other hand, in order to cope with the size difference problem in multi-scale detection, the GELAN structure combines a lightweight design with the Programmable Gradient Information (PGI) mechanism to improve the accuracy of multi-scale target detection, while the ASFF module is designed to improve the accuracy of multi-scale target detection through adaptive spatial feature fusion.The experimental results show that. The proposed method shows significant advantages in transmission equipment monitoring tasks, Overall mAP@50 raise to 0.950, and provides an effective program to ensure the reliability of power supply.","url":"https://pubmed.ncbi.nlm.nih.gov/41150705/","authors":["Chen X","Yao F","Cui R","Zhang S","Li H","Song C","Yu S"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.1371/journal.pone.0335186","addedAt":"2026-08-31T06:40:02.532Z","updatedAt":"2026-08-31T06:40:02.532Z"},{"id":"pmid:41150176","name":"Harmful Algal Bloom Monitoring with Unmanned Aerial Vehicles: Tools, Challenges, and Public Health Implications.","source":"pubmed","abstract":"Harmful algal blooms (HABs) are an escalating global concern due to their increasing frequency, duration, intensity, and geographic spread. These events threaten public health by contaminating drinking water sources, recreational areas, and food production systems with cyanotoxins. Effective monitoring is critical but remains limited by the spatial and temporal variability of blooms. Unmanned aerial vehicles (UAVs) have recently emerged as a flexible, high-resolution tool for HAB monitoring that can complement satellite and in situ methods. This review synthesizes recent applications of UAVs in HAB detection, mapping, and sampling, with a focus on how these approaches can support public health interventions. Key UAV platforms, sensor types, and data processing workflows are summarized, along with considerations related to flight regulations. Studies linking UAV data to indicators like chlorophyll-a and phycocyanin are discussed, highlighting their relevance for early warning systems and water treatment responses. Finally, the review identifies persistent challenges-including validation, regulatory gaps, and integration with health risk frameworks-and provides recommendations to advance UAV-based monitoring. These insights support the continued development of UAV systems as part of comprehensive strategies to mitigate HAB-related health risks.","url":"https://pubmed.ncbi.nlm.nih.gov/41150176/","authors":["Byrd K","Wu J","Lee J"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.3390/toxins17100475","addedAt":"2026-08-31T06:40:02.532Z","updatedAt":"2026-08-31T06:40:09.764Z"},{"id":"pmid:41141788","name":"Deployment of Solid-Supported Natural Deep Eutectic Solvents via Unmanned Aerial Vehicles to Preconcentrate Contaminants from Environmental Water Samples.","source":"pubmed","abstract":"A simple analytical methodology for extraction and electroanalytical detection of 2-nitrophenol in water is herein presented. The method is based on the preconcentration of the model contaminant on a solid support (sponge) soaked in hydrophobic natural deep eutectic solvents (decanoic acid and menthol) and deployed using an adapted unmanned aerial vehicle. The subsequent analysis was performed electrochemically via square wave voltammetry and boron-doped diamond electrodes. Under optimized conditions, the proposed approach required dipping the sponge impregnated with a hydrophobic NADES in the water sample for only 5 min (well under the autonomy of the drone) and led to a linear range of 0.0250-35.0 &#x3bc;mol L -1 and a limit of detection of 2.8 nmol L -1 . Competitive recovery assays (99 &#xb1; 5%) as well as intraday (1.62%) and interday (2.60%) were also obtained, supporting the feasibility of the proposed analytical approach. Moreover, the interferent assays were performed using cations and anions commonly found in environmental waters, which showed no significant effects.","url":"https://pubmed.ncbi.nlm.nih.gov/41141788/","authors":["Dos Santos VB","Garcia CD","de Sousa HS","Carvalho VA","Oliveira SC","Suarez WT"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025 Oct 21","doi":"10.1021/acsomega.5c06815","addedAt":"2026-08-31T06:40:02.532Z","updatedAt":"2026-08-31T06:40:02.532Z"},{"id":"pmid:41137978","name":"Mapping forest successional stages with UAVs: comparing RGB and multispectral imagery in seasonal tropical forests.","source":"pubmed","abstract":"Understanding forest successional dynamics is crucial for conservation and ecosystem management. Increasing anthropogenic pressure on tropical forest fragments highlights the need for efficient, scalable, and accessible monitoring methods. Remote sensing with Unmanned Aerial Vehicles (UAVs) has emerged as a promising tool, offering high spatial resolution and operational flexibility for tracking forest succession. This study assessed the potential of RGB and multispectral sensors mounted on UAVs to classify successional stages in Seasonal Semi-deciduous Tropical Forest fragments. Successional groups were defined through spectral, textural, and structural attributes extracted from high-resolution orthomosaics, combined with the K-means algorithm. Results showed that both RGB and multispectral data successfully distinguished early, intermediate, and advanced stages. While multispectral sensors enhanced differentiation of intermediate stages, RGB sensors alone proved capable of monitoring forest regeneration. This finding underscores the applicability of lower-cost RGB sensors, making UAV-based monitoring more accessible. The use of UAVs represents a significant advance for conservation and forest management, enabling detailed monitoring of vegetation dynamics, detection of structural changes, and support for ecological restoration policies. Moreover, this approach aligns with the United Nations Sustainable Development Goals (SDGs), particularly SDG 15 (Life on Land) and SDG 13 (Climate Action), by promoting forest conservation through technological innovation and sustainable, cost-effective monitoring solutions.","url":"https://pubmed.ncbi.nlm.nih.gov/41137978/","authors":["De Oliveira ADF","Sperandio HV","de Azevedo ML","de Souza AF","Pereira IM","de Jesus França LC","Gorgens EB"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025 Oct 25","doi":"10.1007/s10661-025-14730-y","addedAt":"2026-08-31T06:40:02.532Z","updatedAt":"2026-08-31T06:40:02.532Z"},{"id":"pmid:41136510","name":"Monitoring juvenile sicklefin lemon shark Negaprion acutidens in remote marine nurseries using unmanned aerial vehicles (UAVs).","source":"pubmed","abstract":"Understanding spatial and demographic patterns in threatened coastal sharks is essential for effective conservation, yet remote reef systems remain understudied due to logistical constraints. We used dual unmanned aerial vehicles (UAVs) to monitor juvenile Negaprion acutidens around Dongsha Atoll, a no-take marine reserve in the northern South China Sea. Thirteen synchronized UAV surveys were conducted during summer and winter, covering 20 locations categorized into three zones representing different levels of human impact. We quantified seasonal variation in shark abundance, body size, spatial distribution, and environmental drivers using Generalized Linear Mixed Models (GLMMs). Results revealed stable overall abundance but strong fine-scale shifts between summer and winter. Northeastern sites showed sharp declines in shark sightings during winter, likely due to monsoonal exposure, while sheltered southern zones supported increased winter presence. Neonates were concentrated in lagoon habitats, whereas larger individuals occurred farther offshore and in seagrass areas, indicating ontogenetic habitat expansion. Human impact shaped demographic structure: low-impact areas hosted more and larger sharks, while smaller individuals and nearshore aggregation dominated high-impact zones. These findings confirm Dongsha's role as a critical nursery habitat for N. acutidens and highlight the utility of UAV surveys for capturing spatiotemporal ecological patterns in remote ecosystems. By integrating UAV monitoring with conservation planning, managers can prioritize seasonal protection of nursery zones and respond adaptively to climate and anthropogenic pressures.","url":"https://pubmed.ncbi.nlm.nih.gov/41136510/","authors":["Li CJ","Lin CT","Soong K"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025 Oct 24","doi":"10.1038/s41598-025-21142-y","addedAt":"2026-08-31T06:40:02.532Z","updatedAt":"2026-08-31T06:40:02.532Z"},{"id":"pmid:41131055","name":"UAV-asisted IoT network framework with hybrid deep reinforcement and federated learning.","source":"pubmed","abstract":"This paper addresses a critical gap in Unmanned Aerial Vehicle (UAV)-assisted Internet of Things (IoT) networks, where existing works inadequately integrate UAV deployment optimization with privacy-preserving Federated Learning (FL) and adaptive resource allocation under dynamic network conditions. The research explores the deployment of multi-UAV networks in IoT environments, emphasizing their dual roles in expanding cellular network coverage and facilitating efficient data collection. Unlike prior studies that treat UAV placement and FL-driven resource optimization separately, we present a unified hybrid framework leveraging Deep Reinforcement Learning (DRL) and FL. The proposed framework incorporates the Multi-UAV Network Formation (MUNF) algorithm, which employs Particle Swarm Optimization (PSO) to improve the Signal-to-Noise Ratio (SNR) for effective data collection. Additionally, the Dynamic Adaptive Strategy (DAS) utilizes a Deep Deterministic Policy Gradient (DDPG) approach to optimize resource allocation, reduce latency, and enhance throughput. Extensive simulations demonstrate a 26% increase in data throughput, an 18% reduction in latency, and more stable SNR distribution compared to state-of-the-art baselines. These results indicate a consistent improvement in network efficiency and scalability, validating the proposed framework's capability to address real-world UAV-assisted IoT challenges more effectively than prior work.","url":"https://pubmed.ncbi.nlm.nih.gov/41131055/","authors":["Andreou A","Mavromoustakis CX","Markakis E","Bourdena A","Mastorakis G"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025 Oct 23","doi":"10.1038/s41598-025-21014-5","addedAt":"2026-08-31T06:40:02.532Z","updatedAt":"2026-08-31T06:40:02.532Z"},{"id":"pmid:41129523","name":"Sliding mode dynamics of a non-smooth Filippov predator-prey system for integrated pest management.","source":"pubmed","abstract":"In recent years, the problem of pests seriously affects the yield and quality of crop, posing a major challenge to the safe production of crop, which have seriously hindered the development of China's agriculture. How to quickly and accurately monitor pests, timely grasp the occurrence dynamics of pests, and prevent and control pests is of great significance for reducing crop yield losses. Considering the discontinuity of spraying pesticides and releasing natural enemies in the process of pest control, and the Filippov system's ability to accurately depict switching states and human intervention measures, a non-smooth Filippov predator-prey system with threshold strategies is investigated incorporating several different functional responses, such as Holling II functional response and ratio functional response etc, which should be selectively applied dependent on the population of the prey. The aim of this study is to investigate the complex dynamics including bistabilities of the ecosystem when the relative populations of the prey and predator is substantially different, by modelling the non-smooth Filippov system with multiple switchable functional responses for the very first time, which is believed to be more realistic for modeling the dynamics of real ecosystem, thus the solution of the present work may be more suitable for real world applications such as for the integrated pest management. The validity of the proposed system is assessed by simulation, and bifurcation set of equilibria and the global stability of equilibria has been numerically obtained through an arbitrary set of parameters. Moreover, the dynamic behaviors of proposed system, such as the existence of various equilibria and their global stabilities; the existence of various domains such as the sliding domain, escaping domain and crossing domain, have been analyzed in great details in the present work. It is shown that the sliding region and escaping region cannot coexist when the density of the prey and predators is substantially different. It is further demonstrated that the real equilibrium and pseudo-equilibrium points can coexist when the population of the prey is less than that of the predator; and only the virtual equilibrium and pseudo-equilibrium can coexist in the case of when the population of the prey is more than that of the predator.In particular, it is noted that all trajectories of the prey and predators population are eventually converging into certain equilibrium points as it is demonstrated in the numerical simulation. This implies that there exists global asymptotic stability of equilibrium points under the proposed system, in which the population of preys eventually reaches a steady state of density at the real equilibrium and pseudo-equilibrium points. This work also highlights the significant role of the threshold in the process of pest controls: it is seen from this work that different types of equilibrium points can occur dependent on the choice of the economic threshold (ET). The conclusions obtained will be applied to Unmanned Aerial Vehicle (UAV) to spray pesticides and release natural enemies in a timely and quantitative manner, thereby achieving efficient and rapid monitoring and control of large-scale crop. This can more effectively ensure stable and high crop yields, provide theoretical guidance for scientific prevention and control, and is of great significance for reducing the burden on farmers, promoting agricultural development, and realizing agricultural modernization.","url":"https://pubmed.ncbi.nlm.nih.gov/41129523/","authors":["Liu J","Hu J","Song H"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.1371/journal.pone.0334425","addedAt":"2026-08-31T06:40:02.532Z","updatedAt":"2026-08-31T06:40:02.532Z"},{"id":"pmid:41124193","name":"Sky and wire: A UAV-BPL synchronization algorithm for information exchange in herding operations.","source":"pubmed","abstract":"Herding operations in rural areas often lack reliable wireless connectivity, hindering real-time monitoring of livestock, environmental conditions, and operational status. Existing solutions like satellite or cellular networks are costly or impractical, while short-range wireless technologies struggle with large farm coverage. This paper presents a UAV-BPL synchronization algorithm that uses the farm's existing electrical grid via Broadband over Power Line (BPL) communication to enable cost-effective, scalable data collection. The algorithm integrates Unmanned Aerial Vehicles (UAVs) with BPL relay points to optimize information exchange in herding operations. Two operational scenarios are proposed in the paper: the Coverage-Driven scenario that maximizes data collection from all sources, achieving 99.2% coverage and critical data redundancy, and the Priority-Driven scenario that focuses on high-urgency data, covering 100% of priority sources with ~12% energy consumption. The paper evaluates performance indicators such as coverage, energy usage, frequency of relay visits, and response timeliness using MATLAB simulations. Results demonstrate that the Coverage-Driven scenario excels in comprehensive monitoring, while the Priority-Driven scenario ensures energy-efficient, rapid responses to critical events. By combining BPL's robust connectivity with UAV mobility, the proposed method enhances farm management, scalability, and adaptability, offering a practical solution for rural dairy herding operations to improve productivity and sustainability.","url":"https://pubmed.ncbi.nlm.nih.gov/41124193/","authors":["Sadiq BO","Al-Mutairi M","Sha'aban YA","Bouchekara HRE","Almutairi K"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.1371/journal.pone.0334888","addedAt":"2026-08-31T06:40:02.532Z","updatedAt":"2026-08-31T06:40:09.764Z"},{"id":"pmid:41120871","name":"UAV-based multispectral image analysis revealed stay-green haplotypes in wheat specific for different soil nitrogen levels.","source":"pubmed","abstract":"The so-called stay-green trait, a delay in onset and progression of leaf senescence, is associated with slower chlorophyll degradation and higher photosynthesis rates during maturation resulting in higher crop yields. Understanding the genetic and physiological basis of the stay-green trait and breeding cultivars with stable stay-green behaviour across a range of different nitrogen (N) conditions and specifically under low N availability can contribute to ensuring wheat yields and reducing N fertilizer application. The goal of this study was therefore to identify haplotypes associated with high stay-green capacity under different N availability conditions in wheat. A diverse set of 221 wheat cultivars was grown under three different N levels and phenotyped by uncrewed aerial vehicle (UAV)-based multispectral imaging to characterise genetic and environmental variation in stay-green. Haplotypes associated with stay-green were identified across N levels and specifically under low N availability.","url":"https://pubmed.ncbi.nlm.nih.gov/41120871/","authors":["Behn H","Ballvora A","Bendig J","Ispizua Yamati FR","Koua AP","Mahlein AK","Mason AS","Rascher U","Sadeqi MB","Léon J"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025 Oct 21","doi":"10.1186/s12870-025-07441-6","addedAt":"2026-08-31T06:40:02.532Z","updatedAt":"2026-08-31T06:40:02.532Z"},{"id":"pmid:41115856","name":"A four-tier warning framework for pine wilt disease: integrating species distribution models and smart sensing approaches.","source":"pubmed","abstract":"Pine wilt disease (PWD), caused by the pine wood nematode (PWN, Bursaphelenchus xylophilus), is one of the most destructive diseases of coniferous forests. Early warning of PWD outbreaks is critical for timely and effective control strategies to suppress disease spread and potentially achieve eradication. However, interference from multiple stressors has hindered the development of effective stand-level early warning systems. To address this, we developed a four-tier operational framework that integrates species distribution modeling and smart sensing approaches (unmanned aerial vehicles, Internet of Things-based proximal sensing, and artificial intelligence technologies) for stand-level PWD risk alerts. The framework can provide sequential alerts (blue, yellow, orange, and red), each corresponding to increasing evidence of infestation.","url":"https://pubmed.ncbi.nlm.nih.gov/41115856/","authors":["Bi H","Xin X","Liu W","Li T","Li L","Zong S"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2026 Feb","doi":"10.1002/ps.70314","addedAt":"2026-08-31T06:40:02.532Z","updatedAt":"2026-08-31T06:40:02.907Z"},{"id":"pmid:41107377","name":"A dynamic lightweight blockchain sharding protocol for autonomous collaborative combat of UAV swarms in denied environments.","source":"pubmed","abstract":"In recent years, major military powers have been advancing the \"Anti-Access/Area Denial\" (A2/AD) defense strategy. unmanned aerial vehicle (UAV) swarms operating in denied environments require robust information security measures, and blockchain technology offers a potential solution for enhancing their security. However, traditional UAV blockchain systems in denied environments face significant challenges, including excessive resource consumption, unbalanced workloads, inefficient consensus mechanisms, and insufficient security. To tackle these challenges, we propose the Collaborative Operations UAV Blockchain Sharding Protocol (COUAVChain). First, we design a hierarchical sharding blockchain architecture and a hybrid lightweight/global node storage scheme, significantly reducing communication and storage overhead in heterogeneous UAV swarms. Second, we propose a dynamic reputation mechanism to assess node trustworthiness and introduce the Resource-Reputation Constrained Label Propagation Algorithm (R2CLPA), which optimizes resource-aware load balancing and prevents Byzantine node clustering while minimizing cross-shard transactions. Finally, we introduce the Reputation-Bayesian HotStuff (RB-HotStuff) consensus algorithm, which leverages a dynamic reputation mechanism and Bayesian inference to establish a weighted voting model. This approach enhances consensus reliability and efficiency while improving shard scalability by reducing intra-shard communication overhead. Experimental evaluations and comparative analysis demonstrate that the proposed protocol outperforms the baseline schemes in terms of system throughput, consensus latency, workload balancing, resource consumption, scalability, and security. It effectively enhances the collaborative operations of UAV swarms in denied environments.","url":"https://pubmed.ncbi.nlm.nih.gov/41107377/","authors":["Xu Y","Zhu X","Bai Y","Chen Z","Sun M"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.1038/s41598-025-20359-1","addedAt":"2026-08-31T06:40:02.532Z","updatedAt":"2026-08-31T06:40:08.030Z"},{"id":"pmid:41105005","name":"Vehicle trajectory-based prediction of traffic conflicts on sharp horizontal curves.","source":"pubmed","abstract":"The traffic conflict situations at sharp curve sections are evaluated by analyzing vehicle trajectory data during navigation through these hazardous road segments.","url":"https://pubmed.ncbi.nlm.nih.gov/41105005/","authors":["Li H","Zhang X"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.1080/15389588.2025.2566188","addedAt":"2026-08-31T06:40:02.532Z","updatedAt":"2026-08-31T06:40:02.907Z"},{"id":"pmid:41094866","name":"Energy Footprint and Reliability of IoT Communication Protocols for Remote Sensor Networks.","source":"pubmed","abstract":"Excessive energy consumption of communication protocols in IoT/IIoT systems constitutes one of the key constraints for the operational longevity of remote sensor nodes, where radio transmission often incurs higher energy costs than data acquisition or local computation. Previous studies have remained fragmented, typically focusing on selected technologies or specific layers of the communication stack, which has hindered the development of comparable quantitative metrics across protocols. The aim of this study is to design and validate a unified evaluation framework enabling consistent assessment of both wired and wireless protocols in terms of energy efficiency, reliability, and maintenance costs. The proposed approach employs three complementary research methods: laboratory measurements on physical hardware, profiling of SBC devices, and simulations conducted in the COOJA/Powertrace environment. A Unified Comparative Method was developed, incorporating bilinear interpolation and weighted normalization, with its robustness confirmed by a Spearman rank correlation coefficient exceeding 0.9. The analysis demonstrates that MQTT-SN and CoAP (non-confirmable mode) exhibit the highest energy efficiency, whereas HTTP/3 and AMQP incur the greatest energy overhead. Results are consolidated in the ICoPEP matrix, which links protocol characteristics to four representative RS-IoT scenarios: unmanned aerial vehicles (UAVs), ocean buoys, meteorological stations, and urban sensor networks. The framework provides well-grounded engineering guidelines that may extend node lifetime by up to 35% through the adoption of lightweight protocol stacks and optimized sampling intervals. The principal contribution of this work is the development of a reproducible, technology-agnostic tool for comparative assessment of IoT/IIoT communication protocols. The proposed framework addresses a significant research gap in the literature and establishes a foundation for further research into the design of highly energy-efficient and reliable IoT/IIoT infrastructures, supporting scalable and long-term deployments in diverse application environments.","url":"https://pubmed.ncbi.nlm.nih.gov/41094866/","authors":["Krawiec J","Wybraniak-Kujawa M","Jacyna-Gołda I","Kotylak P","Panek A","Wojtachnik R","Siedlecka-Wójcikowska T"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025 Oct 1","doi":"10.3390/s25196042","addedAt":"2026-08-31T06:40:02.532Z","updatedAt":"2026-08-31T06:40:02.532Z"},{"id":"pmid:41094830","name":"Reconstruction Error Guided Instance Segmentation for Infrared Inspection of Power Distribution Equipment.","source":"pubmed","abstract":"The instance segmentation of power distribution equipment in infrared images is a prerequisite for determining its overheating fault, which is crucial for urban power grids. Due to the specific characteristics of power distribution equipment, the objects are generally characterized by small scale and complex structure. Existing methods typically use a backbone network to extract features from infrared images. However, the inherent down-sampling operations lead to information loss of objects. The content regions of small-scale objects are compressed, and the edge regions of complex-structured objects are fragmented. In this paper, (1) the first unmanned aerial vehicle-based infrared dataset PDI for power distribution inspection is constructed with 16,596 images, 126,570 instances, and 7 categories of power equipment. It has the advantages of large data volume, rich geographic scenarios, and diverse object patterns, as well as challenges of distribution imbalance, category imbalance, and scale imbalance of objects. (2) A reconstruction error (RE)-guided instance segmentation framework, coupled with an object reconstruction decoder (ORD) and a difference feature enhancement (DFE) module, is proposed. The former reconstructs the objects, where the reconstruction result indicates the position and degree of information loss of the objects. Therefore, the difference map between the reconstruction result and the input image effectively replays the object features. The latter adaptively compensates for object features by global fusion between the difference features and backbone features, thereby enhancing the spatial representation of objects. Extensive experiments on the constructed and publicly available datasets demonstrate the strong generalization, superiority, and versatility of the proposed framework.","url":"https://pubmed.ncbi.nlm.nih.gov/41094830/","authors":["Luo J","Sun Y","Zhang J","Sun B"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025 Sep 29","doi":"10.3390/s25196007","addedAt":"2026-08-31T06:40:02.532Z","updatedAt":"2026-08-31T06:40:02.532Z"},{"id":"pmid:41083932","name":"Robust real-time strawberry maturity detection using UAV-mounted deep learning for precision agriculture.","source":"pubmed","abstract":"To address the challenge of real-time plant monitoring in greenhouse environments, this industry-driven research focuses on developing an autonomous quadrotor UAV system specifically designed for monitoring strawberry plants. Traditional methods for greenhouse monitoring are labor-intensive and lack scalability, particularly in precision agriculture applications.","url":"https://pubmed.ncbi.nlm.nih.gov/41083932/","authors":["Singh R","Gadade AM","Hussain I"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025 Oct 13","doi":"10.1186/s12870-025-07246-7","addedAt":"2026-08-31T06:40:02.532Z","updatedAt":"2026-08-31T06:40:02.532Z"},{"id":"pmid:41079317","name":"Estimation of regional-scale maize plant nitrogen content based on multi-source remote sensing data.","source":"pubmed","abstract":"This study aims to systematically analyze the challenges of water scarcity and low nitrogen use efficiency in maize production in the arid Hexi Corridor. It provides a scientific basis for efficient water and fertilizer management. This study innovatively integrates multi-source data from satellite and Unmanned Aerial Vehicle (UAV) remote sensing. The datasets include Sentinel-2A imagery, UAV-based multispectral images, and ground-based observations. Based on these data, a comprehensive data fusion framework was established. Data were collected across four key growth stages of maize in 2024, with 66 sampling points established in the main experimental area and 48 sampling points in the auxiliary validation area for model training and validation. Pearson correlation analysis was employed to identify the optimal combination of vegetation indices (VIs). The inversion accuracy of various models at different growth stages was systematically analyzed. Notably, a novel region-scale maize Plant Nitrogen Content (PNC) inversion method based on band correction was proposed. This method not only achieves the harmonization of multi-source remote sensing data but also optimizes the PNC inversion at the regional scale, accounting for inter-sensor spectral response differences and leveraging multi-growth-stage data to enhance the model's robustness and generalization capability. Furthermore, the applicability and reliability of this model for crop growth monitoring in arid regions were thoroughly evaluated. The results showed that: (1) The PNC prediction model based on Convolutional Neural Networks (CNN) demonstrated significant performance advantages. It achieved a coefficient of determination (R&#xb2;) of 0.80. Compared with traditional machine learning models, such as Support Vector Machines (SVM) and Random Forest (RF), the prediction accuracy improved by more than 10%. (2) Band correction significantly enhanced the modeling performance of Sentinel-2A data in PNC retrieval. The R&#xb2; of the prediction model increasing from 0.35-0.45 (uncorrected) to 0.70-0.80. This confirmed the positive impact of band correction on model accuracy. (3) The prediction accuracy in the auxiliary validation area was highly consistent with that in the main validation area, further confirming the stability and reliability of the proposed method under varying regional conditions. This study provides an effective approach for rapid and precise monitoring of maize nitrogen status in arid regions. It also offers scientific support for regional-scale crop nitrogen management and precision fertilization decisions. The findings have significant theoretical and practical implications.","url":"https://pubmed.ncbi.nlm.nih.gov/41079317/","authors":["Yan J","Wang Y","Guo Z","Wang W","Ma Y","Li J","Yao X","Li Q","Cheng K","Li G","Ma W"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.3389/fpls.2025.1669170","addedAt":"2026-08-31T06:40:02.532Z","updatedAt":"2026-08-31T06:40:02.532Z"},{"id":"pmid:41073695","name":"Real-time defect detection in concrete structures using attention-based deep learning and GPR imaging.","source":"pubmed","abstract":"To address the challenges of low accuracy and limited real-time efficiency in detecting subsurface defects within concrete structures, this study proposes an enhanced YOLOv5 model integrated with an Efficient Channel Attention (ECA) mechanism for automated ground-penetrating radar (GPR) defect detection. A Deep Convolutional Generative Adversarial Network (DCGAN)-based augmentation strategy is introduced to mitigate class imbalance, synthesizing realistic minority-class defect samples while preserving wave scattering characteristics.&#x200b;&#x200b; A specialized dataset encompassing diverse defect types was constructed to reflect real-world concrete inspection scenarios. The proposed YOLOv5&#x2009;+&#x2009;ECA model was rigorously evaluated against other attention-enhanced variants and the baseline YOLOv5. Experimental results demonstrate that ECA's channel-specific feature recalibration significantly improves detection accuracy, achieving the highest mean average precision, while maintaining real-time inference speeds suitable for unmanned aerial vehicle (UAV)-mounted deployment. This work advances the precision and efficiency of infrastructure health monitoring, offering a robust solution for subsurface defect diagnosis in concrete structures such as tunnel linings and bridge decks.","url":"https://pubmed.ncbi.nlm.nih.gov/41073695/","authors":["Zhang JY","Huang L","Guan YJ"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025 Oct 10","doi":"10.1038/s41598-025-19596-1","addedAt":"2026-08-31T06:40:02.532Z","updatedAt":"2026-08-31T06:40:02.532Z"},{"id":"pmid:41073449","name":"RSP-YOLOv11n multi-module optimized algorithm for insulator defect detection in UAV images.","source":"pubmed","abstract":"The identification of insulator defects on transmission line insulators constitutes a pivotal undertaking in the context of UAV (Unmanned Aerial Vehicle) inspection, a process that is imperative to ensure the reliable functioning of transmission lines. A novel approach is proposed to mitigate missed detections and enhance detection accuracy in UAV-based insulator defect detection. RSP-YOLOv11n (RCSOSA-SEA-P2 YOLOv11n) is proposed to enhance the detection of insulator defects in UAV-acquired imagery. The conventional C3K2 module in the backbone is replaced with the RCSOSA unit, thereby enabling more effective multi-scale feature extraction and representation learning. Second, by using axial attention and detail enhancement, the SEA attention mechanism is used to improve the ability to detect surface defects on insulators. Finally, by capturing finer features during high-resolution image processing, the addition of a P2 detection head to the network improves the accuracy of small target detection. RSP-YOLOv11n performs better overall than other YOLO series models, according to experimental results on the self-constructed insulator dataset. In contrast to the baseline YOLOv11n model, RSP-YOLOv11n improved precision from 89.9 to 92.3%, recall from 82.6 to 85.9%, F1-score from 86.1 to 89.0%, from mAP@0.5 from 88.7 to 91.2%, and mAP@0.5:0.95 from 58.9 to 61.7%. Furthermore, the proposed RSP-YOLOv11n framework was evaluated on three benchmark insulator datasets-CPLID, IDID, and SFID. Across these datasets, it consistently achieved better detection performance compared to other models in the YOLO family. In addition, RSP-YOLOv11n exhibited competitive advantages over recent state-of-the-art detectors, including DINO and RT-DETR. The experimental results highlight the framework's strong capability in small object detection, showing notable improvements in accuracy and generalization. These findings suggest that RSP-YOLOv11n holds considerable potential for meeting the practical requirements of insulator defect detection in real-world UAV inspection scenarios.","url":"https://pubmed.ncbi.nlm.nih.gov/41073449/","authors":["Zheng B","Angkawisittpan N","Huang L","Sonasang S"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025 Oct 10","doi":"10.1038/s41598-025-19059-7","addedAt":"2026-08-31T06:40:02.532Z","updatedAt":"2026-08-31T06:40:02.532Z"},{"id":"pmid:41069470","name":"Missed transplanting rate evaluation method for tobacco seedling transplanter based on UAV imagery and improved YOLOv5s.","source":"pubmed","abstract":"Missed transplanting remains a significant challenge in the application of tobacco seedling transplanters due to the specific agronomic requirements for successful transplanting. Currently, the detection of missed transplanting rate in large-scale field tests primarily relies on manual seedling counting, a process that is notably inefficient. Traditional online detection methods, including photoelectric sensors and machine vision, suffer from problems such as complex structures and high costs. They require sensor deployment on the machine itself, making it difficult to fully meet the actual detection needs of transplanters during the R&amp;D and testing phase. To address these limitations, this paper proposes an automated evaluation method for detecting missed transplanting rates using UAV (unmanned aerial vehicle) imagery. The method integrates an improved YOLOv5s model, DeepSORT, and line-crossing counting approach. First, a second-order channel attention (SOCA) attention mechanism was incorporated into the YOLOv5s model to improve its ability to extract features for small targets. Additionally, the Spatial Pyramid Pooling Fast (SPPF) was replaced by the Simplified Spatial Pyramid Pooling-Fast (SimSPPF) to enhance the model's ability to extract multi-scale features for targets such as seedling-planted holes. The DeepSORT algorithm, combined with line-crossing counting principle, was then employed for visual tracking and dynamic counting of seedling-planted and missed-planting holes, enabling accurate evaluation of the missed transplanting rate. Test results showed that, in terms of target detection, the Precision and mAP of the improved YOLOv5s model increased by 3.9% and 5.3%, respectively, compared to the original YOLOv5s. In target tracking, the combination of the improved YOLOv5s and DeepSORT reduced the missed detection rate M m and false detection rate M f by 2.5% and 6.1%, respectively. Field experiments achieved an accuracy of 90.28% for the missed transplanting rate and a 10&#xd7; higher detection efficiency compared to manual inspection. This method offers a novel automated solution for the rapid detection of missed transplanting rates in large-scale transplanting operations and provides valuable technical insights for evaluating the performance of other seedling transplanters.","url":"https://pubmed.ncbi.nlm.nih.gov/41069470/","authors":["Su R","Yu B","Sun Y","Wang L","Gao L","Chen D"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.3389/fpls.2025.1659559","addedAt":"2026-08-31T06:40:02.532Z","updatedAt":"2026-08-31T06:40:02.532Z"},{"id":"pmid:41066735","name":"Reinforcement learning for UAV flight controls: Evaluating continuous space reinforcement learning algorithms for fixed-wing UAVs.","source":"pubmed","abstract":"Flight controls are experiencing a major shift with the integration of reinforcement learning (RL). Recent studies have demonstrated the potential of RL to deliver robust and precise control across diverse applications, including the flight control of fixed-wing unmanned aerial vehicles (UAVs). However, a critical gap persists in the rigorous evaluation and comparative analysis of leading continuous-space RL algorithms. This paper aims to provide a comparative analysis of RL-driven flight control systems for fixed-wing UAVs in dynamic and uncertain environments. Five prominent RL algorithms that include Deep Deterministic Policy Gradient (DDPG), Twin Delayed Deep Deterministic Policy Gradient (TD3), Proximal Policy Optimization (PPO), Trust Region Policy Optimization (TRPO) and Soft Actor-Critic (SAC) are evaluated to determine their suitability for complex UAV flight dynamics, while highlighting their relative strengths and limitations. All the RL agents are trained in a same high fidelity simulation environment to control pitch, roll and heading of the UAV under varying flight conditions. The results demonstrate that RL algorithms outperformed the classical PID controllers in terms of stability, responsiveness and robustness, especially during environmental disturbances such as wind gusts. The comparative analysis reveals that the SAC algorithm achieves convergence in 400 episodes and maintains a steady-state error below 3%, offering the best trade-off among the evaluated RL algorithms. This analysis aims to provide valuable insight for the selection of suitable RL algorithm and their practical integration into modern UAV control systems.","url":"https://pubmed.ncbi.nlm.nih.gov/41066735/","authors":["Khanzada HR","Maqsood A","Basit A"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.1371/journal.pone.0334219","addedAt":"2026-08-31T06:40:02.532Z","updatedAt":"2026-08-31T06:40:02.532Z"},{"id":"pmid:41066679","name":"Determination of the effectiveness of some unmanned aerial vehicles (UAVs) at different application volumes in herbicide control for wheat cultivation.","source":"pubmed","abstract":"In this study, the spraying performance of two unmanned aerial vehicles (UAVs), the DJI T10 and the DJI T30, was evaluated for herbicide application in wheat cultivation under different application volumes. The UAVs were tested at application volumes of 10, 20 and 30&#x2009;L ha -1 , and their performance was evaluated based on spray coverage rate, deposition, and distribution uniformity. Field experiments were conducted in Adana, T&#xfc;rkiye, using Water Sensitive Paper (WSP) to collect data from 15 sampling points per plot. The T30 UAV achieved the highest coverage rate (39.69%) and deposition value (0.194&#x2009;&#xb5;L cm -2 ) at 30&#x2009;L ha -1 , demonstrating a more uniform spray distribution across all sampling points, including the edge areas. In contrast, the T10 UAV showed a maximum of 32.22% coverage rate and a deposition of 0.175&#x2009;&#xb5;L cm -2 , with a higher concentration at the central points and a lower uniformity at the edges. These findings suggested that the T30 UAV provided superior performance in higher application volumes, while the T10 would be more suitable for targeted or small-scale applications.","url":"https://pubmed.ncbi.nlm.nih.gov/41066679/","authors":["Bolat A"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.1080/03601234.2025.2571291","addedAt":"2026-08-31T06:40:02.532Z","updatedAt":"2026-08-31T06:40:02.532Z"},{"id":"pmid:41064370","name":"Multi-Scale Oriented Detection with Shared Convolution for UAV-Enabled Maritime Safety Surveillance.","source":"pubmed","abstract":"Due to their ability to cover wide areas and adapt to variable perspectives, unmanned aerial vehicles (UAVs) equipped with high-definition cameras have become effective devices for maritime safety management. However, the changing visual angles, varying flight distances, and limited computational power pose challenges for maritime safety surveillance using UAVs. These challenges often result in inaccurate multi-angle detection, rough multi-scale vessel detection, and computational strain from large models. Therefore, we propose a lightweight multi-scale oriented detection model for UAVs. Specifically, to accommodate variable flight altitudes, we firstly proposed a cross-stage partial feature fusion module named LDFusion, which can freely adjust the size and shape of the convolutional kernel to extract and fuse features at different scales. While the LDFusion module improves feature extraction performance, it also introduces additional parameters. Therefore, we secondly designed a lightweight detection head with shared convolution module SConvs for oriented ship detection, reducing the number of parameters. Thirdly, we created 3 oriented datasets from a maritime UAV perspective, including a new inland waterway dataset, a re-annotated marine dataset, and a re-annotated complex maritime dataset. Finally, we conducted comparative experiments on the 3 datasets using advanced oriented detection methods. Experimental results demonstrate that though our method achieves a modest 3.27% improvement in detection accuracy, it reduces the number of parameters by 24.40% compared to the latest approach.","url":"https://pubmed.ncbi.nlm.nih.gov/41064370/","authors":["Huang Y","Zheng Y","Wu P","Zhang Y","Liu J","Liu Y"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.34133/research.0920","addedAt":"2026-08-31T06:40:02.532Z","updatedAt":"2026-08-31T06:40:02.532Z"},{"id":"pmid:41060991","name":"Enhancing UAV object detection with an efficient multi-scale feature fusion framework.","source":"pubmed","abstract":"The rapid advancement of Unmanned Aerial Vehicle (UAV) technology has facilitated dynamic, high-resolution remote sensing, significantly benefiting applications in agriculture, forestry, urban planning, and disaster management. However, detecting small objects in UAV imagery remains challenging due to severe scale variations and environmental complexities. While traditional detection methods and even many advanced YOLO variants achieve reasonable performance, they often either incur high computational costs or fail to preserve the fine-grained features essential for reliably detecting extremely small targets. To overcome these limitations, we propose SRD-YOLOv5, an enhanced version of the lightweight YOLOv5n model, distinguished by its novel multi-scale feature fusion framework. Our approach introduces two innovative modules: the Scale Sequence Feature Fusion Module (SSFF) and the Multi-Scale Feature Extraction Module (MSFE), which collaboratively capture global contextual information and preserve detailed semantic cues that are typically lost in conventional fusion techniques. Furthermore, we incorporate an Extremely Small Target Detection Layer (ESTDL) specifically designed to retain high-resolution features for micro-scale object detection. Additionally, the implementation of a Decoupled Head, which independently processes regression and classification tasks, further optimizes the detection of small targets by reducing task conflicts and improving localization precision. Experimental results demonstrate that SRD-YOLOv5 outperforms existing methods in detecting small targets within UAV remote sensing images. It achieves higher accuracy while maintaining low computational demands, making it suitable for real-time applications in UAV remote sensing.","url":"https://pubmed.ncbi.nlm.nih.gov/41060991/","authors":["Lai D","Kang K","Xu K","Ma X","Zhang Y","Huang F","Chen J"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.1371/journal.pone.0332408","addedAt":"2026-08-31T06:40:02.532Z","updatedAt":"2026-08-31T06:40:02.532Z"},{"id":"pmid:41058912","name":"Parallel joint encoding for drone-view object detection under low-light conditions.","source":"pubmed","abstract":"Under low-light conditions, the accuracy of drone-view object detection algorithms is frequently compromised by noise and insufficient illumination. Herein, we propose a parallel neural network that concurrently performs image enhancement and object detection for drone-view object detection in nighttime environments. Our innovative coevolutionary framework establishes bidirectional gradient propagation pathways between network modules, improving the robustness of feature representations through the joint optimization of the photometric correction and detection objectives. The illumination enhancement network employs Zero-DCE++, which adaptively adjusts the brightness distribution without requiring paired training data. In our model, object detection is performed using a lightweight YOLOv5 architecture that exhibits good detection accuracy while maintaining real-time performance. To further optimize feature extraction, we introduce a spatially adaptive feature modulation module and a high- and low-frequency adaptive feature enhancement block. The former dynamically modulates the input features through multiscale feature fusion, enhancing the ability of the model to perceive local and global information. The latter module enhances semantic representation and edge details through the parallel processing of spatial contextual information and feature refinement. Experiments on the two data sets of VisDrone2019 (Night) and Drone Vehicle (Night) show that the proposed method improves 3.13 and 3.1% compared with the traditional YOLOv5 method mAP@0.5:0.95, and improves 6.3 and 2% in mAP@0.5, especially in the extreme low light and high noise environment. Thus, the proposed parallel model is an efficient and reliable solution for drone-based nighttime visual monitoring.","url":"https://pubmed.ncbi.nlm.nih.gov/41058912/","authors":["Liu L","Zhou B","Li Q","Fu G","Wang Y","Chu H"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.3389/frai.2025.1622100","addedAt":"2026-08-31T06:40:02.532Z","updatedAt":"2026-08-31T06:40:02.532Z"},{"id":"pmid:41057486","name":"A dynamic confrontational game model of uav's data link in the complicated electromagnetic environment.","source":"pubmed","abstract":"To select the optimal confrontational strategy for an unmanned aerial vehicle's (UAV) data link in the complicated electromagnetic environment of the battlefield, based on the non-cooperative game theory, this paper builds a dynamic confrontational game model for the UAV data link. Firstly, it analyzes the confrontational game processes of the UAV data link and then designs its dynamic confrontational game algorithm. Secondly, through constructing the confrontational game matrix, it uses the equilibrium method to solve the Nash equilibrium solution of the game matrix and form the optimal confrontational game model of the data link. Finally, the simulation results verify the effectiveness of the built model, which provides a foundation for enhancing the game confrontational capability of the data link in its complicated electromagnetic environment.","url":"https://pubmed.ncbi.nlm.nih.gov/41057486/","authors":["Gao P","Zhi Y"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.1038/s41598-025-18718-z","addedAt":"2026-08-31T06:40:02.532Z","updatedAt":"2026-08-31T06:40:08.031Z"},{"id":"pmid:41056711","name":"Advancing atmospheric pollution monitoring with airborne THz spectrometer.","source":"pubmed","abstract":"This study details the development and validation of an airborne THz spectrometer designed for real-time, remote detection of atmospheric pollutants. The platform couples a stabilized unmanned aerial system (UAS) with a high-resolution terahertz continuous-wave (THz-CW) laser source and detector, enabling flexible, in situ spectroscopic analysis of dispersed atmospheric vapors. This proof-of-concept investigation confirms the feasibility of UAS-THz-CW systems for spatially resolved environmental pollutant monitoring. The demonstrated capability of this terahertz sensor for remote, multi-component detection of atmospheric contaminants holds significant potential for advancing air pollutant monitoring technologies, providing a pathway for more effective and portable detection. This advancement can contribute to the necessary alert actions for minimizing contaminants impacting public and environmental health, thereby safeguarding human and ecosystem health.","url":"https://pubmed.ncbi.nlm.nih.gov/41056711/","authors":["Moffa C","Curcio A","Merola C","Francescone D","Magi M","Coppola M","Giuliano L","Migliorati M","Reverberi M","Mattiello L","Petrarca M"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025 Oct","doi":"10.1016/j.envint.2025.109819","addedAt":"2026-08-31T06:40:02.532Z","updatedAt":"2026-08-31T06:40:02.532Z"},{"id":"pmid:41052401","name":"Analysis of conflict between right-turning vehicles and pedestrians at urban intersections using random parameter Logit model.","source":"pubmed","abstract":"Pedestrians are prone to more dangerous conflicts with right-turning vehicles when crossing the street because of sharing phases with right-turning vehicles or their own violations. This paper aims to alleviate the frequent conflicts between right-turning vehicles and pedestrians and explores the significant influencing factors behind these conflicts.","url":"https://pubmed.ncbi.nlm.nih.gov/41052401/","authors":["Peng T","Liu J"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.1080/15389588.2025.2545001","addedAt":"2026-08-31T06:40:02.532Z","updatedAt":"2026-08-31T06:40:02.907Z"},{"id":"pmid:41044239","name":"Secure and energy-efficient transmission in UAV-assisted intelligent reflecting surface networks.","source":"pubmed","abstract":"With the growing demand for secure and energy-efficient wireless communication in dynamic and energy-constrained environments, integrating unmanned aerial vehicle (UAV) with intelligent reflecting surface (IRS) has emerged as a promising solution. However, air-ground communication still faces critical challenges such as eavesdropping threats and limited onboard energy of UAVs. To address these issues, this paper proposes a physical layer security (PLS) transmission framework for UAV-IRS-assisted communication systems. The proposed scheme incorporates artificial noise (AN) and simultaneous wireless information and power transfer (SWIPT) to enhance secrecy performance and ensure sustained energy harvesting (EH). The system jointly optimizes the base station (BS) beamforming, UAV positioning, and IRS phase shift to maximize the secrecy rate (SR) under EH constraints. To solve the resulting non-convex optimization problem, we design a deep reinforcement learning (DRL)-based approach using the twin delayed deep deterministic policy gradient (TD3) algorithm. Simulation results demonstrate that the proposed method significantly improves both secrecy and energy efficiency compared to existing baseline schemes.","url":"https://pubmed.ncbi.nlm.nih.gov/41044239/","authors":["Xue J","Xu J","Guan X","Zhang H","Gan Y"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025 Oct 3","doi":"10.1038/s41598-025-17852-y","addedAt":"2026-08-31T06:40:02.532Z","updatedAt":"2026-08-31T06:40:02.532Z"},{"id":"pmid:41042826","name":"Drone thermal imaging and benthic time-series analysis show dynamic spatial and temporal delivery of submarine groundwater discharge on reef ecosystems.","source":"pubmed","abstract":"Submarine groundwater discharge (SGD) introduces nutrient-rich, low-salinity water into coastal ecosystems, significantly altering reef biogeochemistry. At Black Point, O'ahu, we employed a novel, two-pronged approach that integrates a cost-effective small unmanned aerial system equipped with a thermal infrared (sUAS-TIR) sensor and high-resolution benthic salinity time series to resolve previously unobserved, fine-scale patterns of SGD delivery. sUAS-based sampling overcomes key limitations of prior SGD mapping methods, such as labor-intensive and spatially constrained in situ sampling, by enabling rapid deployment, real-time visualization of mixing dynamics, and high-resolution imagery. Unlike previous studies that relied on customized systems that required independent sensor integration, our methods used a cost-effective, fully integrated sUAS-TIR platform that required no additional modification. Our results show that localized hydrodynamics strongly modulate groundwater delivery, creating spatially heterogeneous patterns of delayed transport, recirculation and retention (i.e., pooling), and offshore dispersal. Thermal imagery revealed persistent surface plumes in regions of reduced circulation, while sequential orthomosaics and benthic salinity time series captured the temporal progression of groundwater movement across the reef. These findings highlight complex SGD delivery patterns that contribute to ecological vulnerability, particularly in areas experiencing prolonged exposure to nutrient-rich, low-salinity waters. Such dynamics underscore the need to consider both spatial and temporal variability when evaluating SGD's ecological impacts. Our two-pronged approach offers a valuable tool to (1) identify reef zones that may be disproportionately affected by point-sources of land-based pollution, and (2) elucidate the mechanisms driving groundwater transport in coral reef environments. By offering a cost-effective, scalable, and operationally flexible framework, this methodology advances the management of groundwater-impacted ecosystems and enhances our ability to assess the ecological implications of dynamic SGD delivery.","url":"https://pubmed.ncbi.nlm.nih.gov/41042826/","authors":["Zummo SG","Himes L","La Valle FF"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.1371/journal.pone.0333712","addedAt":"2026-08-31T06:40:02.532Z","updatedAt":"2026-08-31T06:40:02.532Z"},{"id":"pmid:41032519","name":"Forest biodiversity increases productivity via complementarity from greater canopy structural complexity.","source":"pubmed","abstract":"The horizontal distribution and vertical stratification of tree crowns can affect light interception and tree growth, thus driving forest productivity and carbon storage. However, how canopy structure is affected by tree diversity and thus can mediate its effects on productivity remains unclear. Using 4-y consecutive unmanned aerial vehicle-borne light detection and ranging and ground-based growth measurements from 482 plots and 38,088 trees, 11 to 15 y after planting, within a large-scale forest biodiversity experiment in southeast China, we found that increased canopy structural complexity consistently explains the positive effects of tree diversity on productivity. Species complementarity was the main mediator of diversity-enhanced productivity, with the positive complementarity effects strengthening over time. Our study underscores the importance of establishing multispecies forest communities with complex canopy structure to maximize productivity and carbon sequestration in forest ecosystems.","url":"https://pubmed.ncbi.nlm.nih.gov/41032519/","authors":["Deng X","Schmid B","Bruelheide H","Chen C","Li Y","Li S","Morsdorf F","Ray T","Schuman MC","Tang T","von Oheimb G","Ma K","Liu X"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025 Oct 7","doi":"10.1073/pnas.2506750122","addedAt":"2026-08-31T06:40:02.532Z","updatedAt":"2026-08-31T06:40:02.532Z"},{"id":"pmid:41031299","name":"FHB-Net: a severity level evaluation model for wheat Fusarium head blight based on image-level annotated aerial RGB images.","source":"pubmed","abstract":"A leading concern for global wheat production, Fusarium head blight (FHB) can cause yield losses of up to 50% during severe epidemics. The cultivation of FHB-resistant wheat varieties is widely acknowledged as a highly effective and economical approach to disease management. The disease resistance breeding task depends on accurately evaluating the severity level of FHB. However, existing approaches may fail to distinguish among healthy and slightly infected wheats due to insufficient fine-grained feature learning, resulting in unreliable predictions. To tackle these challenges, this paper proposed the FHBNet model for evaluating the severity level of FHB under an end-to-end manner by simply using image-level annotated RGB images. In total, 6035 RGB aerial images taken from the wheat field were used to construct the dataset and each image was labelled by the light, moderate, or severe category. In FHBNet, we first utilized the multi-scale criss-cross attention (MSCCA) block to capture the global contextual relationships from each pixel, thereby modelling the spatial context of wheat ears. Furthermore, in order to accurately locate small lesions in wheat ears, we applied the bi-level routing attention (BRA) module, which suppressed the most irrelevant key-value pairs and only retained a small portion of interested regions. The experimental results demonstrated that FHBNet achieved an accuracy of 79.49% on the test se5t, surpassing the mainstream neural networks like MobileViT, MobileNet, EfficientNet, RepLkNet, ViT, and ConvNext. Moreover, visualization heatmaps revealed that FHBNet can accurately locate the FHB lesions under complex conditions, e.g., varying severity levels and illuminations. This study validated the feasibility of rapid and nondestructive FHB severity level evaluation with only image-level annotated aerial RGB images as an input, and the research result of this study can potentially accelerate the disease resistance breeding task by providing high-throughput and accurate phenotype analysis.","url":"https://pubmed.ncbi.nlm.nih.gov/41031299/","authors":["Zhu S","Li H","Zou S","Xu H","Zhai Z"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.3389/fpls.2025.1549896","addedAt":"2026-08-31T06:40:02.532Z","updatedAt":"2026-08-31T06:40:02.532Z"},{"id":"pmid:41023102","name":"Effectiveness of traditional augmentation methods for rebar counting using UAV imagery with Faster R-CNN and YOLOv10-based transformer architectures.","source":"pubmed","abstract":"Accurate inspection of Reinforced Concrete (RC) structures requires precise rebar counting. Although deep-learning object detectors can extract this information from drone imagery, their effectiveness depends on large, diverse, and well-labeled datasets. Image augmentation can increase data variability, yet its impact on Unmanned Aerial Vehicles (UAVs)-based rebar counting has been underexplored. This study systematically evaluates ten augmentation methods-brightness, contrast, perspective, rotation, scale, shearing, translation, blurring, a probabilistic sampling policy, and a sum of techniques composition-using Faster R-CNN and YOLOv10 across six backbones (ResNet-101, ResNet-152, MobileNetV3; ViT, PVT, Swin Transformer). Performance is reported using AP50, AP50:95, and exact-count accuracy. Results show that augmentation efficacy is both architecture and metric-dependent. The best test-set configuration is YOLOv10-PVT with shearing, which achieves AP50&#x2009;=&#x2009;87.71%, AP50:95&#x2009;=&#x2009;68.53%, and rebar-count accuracy&#x2009;=&#x2009;86.27%-improvements of&#x2009;+&#x2009;5.92,&#x2009;+&#x2009;9.07, and&#x2009;+&#x2009;5.99 percentage points, respectively, over the PVT original baseline. A probabilistic sampling policy provides consistent, policy-level gains over original data and approaches the best single transform (especially with a magnitude ramp), whereas indiscriminate a sum of techniques application does not reliably outperform the top single augmentation.","url":"https://pubmed.ncbi.nlm.nih.gov/41023102/","authors":["Wang S"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025 Sep 29","doi":"10.1038/s41598-025-18964-1","addedAt":"2026-08-31T06:40:02.532Z","updatedAt":"2026-08-31T06:40:02.532Z"},{"id":"pmid:41022088","name":"Performance of UAV-based airborne gamma-ray spectrometry for wide-area radiation monitoring of contaminated sites.","source":"pubmed","abstract":"This study presents the development and field validation of a UAV-based airborne gamma-ray spectrometry system (MARK-M1), designed by the Korea Atomic Energy Research Institute for rapid radiological assessment in post-accident scenarios. The MARK-M1 integrates two LaBr 3 (Ce) detectors, global positioning system, and a laser altimeter, with data transmission ensured via Bluetooth communication. Field surveys were conducted in collaboration with the Japan Atomic Energy Agency around the Fukushima Daiichi Nuclear Power Plant. An attenuation correction factor was derived from hovering flights at multiple altitudes and applied to convert aerial measurements to dose rates at 1 m above ground level. The results showed that flight speed had little effect on dose rate estimation when appropriate detector sensitivity and flight line spacing were ensured. However, in low-lying areas with sloped terrain, significant discrepancies were observed between airborne and ground-based measurements, indicating the limitations of flat-ground assumptions in attenuation models. Incorporating terrain data such as digital elevation models is suggested to improve estimation accuracy in complex topographies. These findings demonstrate both the practical utility and necessary refinements for UAV-based gamma-ray surveys in real-world emergency response applications.","url":"https://pubmed.ncbi.nlm.nih.gov/41022088/","authors":["Ji YY","Joung S","Ji W","Ochi K","Sasaki M","Sanada Y"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025 Oct 9","doi":"10.1088/1361-6498/ae0cd4","addedAt":"2026-08-31T06:40:02.532Z","updatedAt":"2026-08-31T06:40:02.532Z"},{"id":"pmid:41021626","name":"Robust unmanned aerial vehicles tracking amid electronic interference utilizing auxiliary particle filtering.","source":"pubmed","abstract":"Electronic interference poses a significant challenge to Unmanned Aerial Vehicle (UAV) tracking systems, compromising navigation accuracy and operational safety in critical applications such as surveillance, disaster response, and infrastructure inspection. This study introduces a novel application of the Auxiliary Particle Filter (APF) for robust UAV tracking under interference conditions, focusing on fixed-reference scenarios. The APF incorporates adaptive proposal distributions and robust weight updates to effectively mitigate interference-induced measurement errors. Through comprehensive simulation that evaluates performance under varying interference and sensor degradation scenarios, the APF demonstrates superior accuracy, achieving a mean Root Mean Square Error (RMSE) of 4.82 meters with low variability ([Formula: see text]m). This significantly outperforms traditional filters, including the Extended Kalman Filter (EKF) and Unscented Kalman Filter (UKF). Notably, the APF maintains stable performance even under severe interference conditions, where conventional approaches exhibit substantial degradation. Statistical validation confirms these improvements across all test scenarios (p &lt; 0.001). The detailed implementation guidelines provided in this study enable adoption across diverse operational contexts. These findings establish the APF as a robust and reliable solution for interference-prone environments and lay the groundwork for its adaptation to more dynamic tracking scenarios in autonomous UAV operations.","url":"https://pubmed.ncbi.nlm.nih.gov/41021626/","authors":["Qi L","Zhang T","Chen G","Wang W"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.1371/journal.pone.0333009","addedAt":"2026-08-31T06:40:02.532Z","updatedAt":"2026-08-31T06:40:02.532Z"},{"id":"pmid:41019733","name":"Automated measurement of field crop phenotypic traits using UAV 3D point clouds and an improved PointNet+.","source":"pubmed","abstract":"Accurate acquisition of tobacco phenotypic traits is crucial for growth monitoring, cultivar selection, and other scientific management practices. Traditional manual measurements are time-consuming and labor-intensive, making them unsuitable for large-scale, high-throughput field phenotyping. The integration of 3D reconstruction and stem-leaf segmentation techniques offers an effective approach for crop phenotypic data acquisition. In this study, we propose a tobacco phenotyping method that combines unmanned aerial vehicle (UAV) remote sensing with an improved PointNet++ model. First, a 3D point-cloud dataset of field-grown tobacco plants was generated using multi-view UAV imagery. Next, the PointNet++ architecture was enhanced by incorporating a Local Spatial Encoding (LSE) module and a Density-Aware Pooling (DAP) module to improve the accuracy of stem and leaf segmentation. Finally, based on the segmentation results, an automated pipeline was developed to compute key phenotypic traits, including plant height, leaf length, leaf width, leaf number, and internode length. Experimental results demonstrated that the improved PointNet++ model achieved an overall accuracy (OA) of 95.25% and a mean intersection over union (mIoU) of 93.97% for tobacco plant segmentation-improvements of 5.12% and 5.55%, respectively, over the original PointNet++ model. Moreover, using the segmentation results from the improved PointNet++ model, the predicted phenotypic values exhibited strong agreement with ground-truth measurements, with coefficients of determination (R&#xb2;) ranging from 0.86 to 0.95 and root mean square errors (RMSE) between 0.31 and 2.27 cm. This study provides a technical foundation for high-throughput phenotyping of tobacco and presents a transferable framework for phenotypic analysis in other crops.","url":"https://pubmed.ncbi.nlm.nih.gov/41019733/","authors":["Yao J","Wang W","Fu H","Deng Z","Cui G","Wang S","Wang D","She W","Cao X"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.3389/fpls.2025.1654232","addedAt":"2026-08-31T06:40:02.532Z","updatedAt":"2026-08-31T06:40:02.532Z"},{"id":"pmid:41013069","name":"SAC-MS: Joint Slice Resource Allocation, User Association and UAV Trajectory Optimization with No-Fly Zone Constraints.","source":"pubmed","abstract":"With the rapid growth of user service demands, space-air-ground integrated networks (SAGINs) face challenges such as limited resources, complex connectivity, diverse service requirements, and no-fly zone (NFZ) constraints. To address these issues, this paper proposes a joint optimization approach under NFZ constraints, maximizing system utility by simultaneously optimizing user association, unmanned aerial vehicle (UAV) trajectory, and slice resource allocation. Due to the problem's non-convexity, it is decomposed into three subproblems: user association, UAV trajectory optimization, and slice resource allocation. To solve them efficiently, we design the iterative SAC-MS algorithm, which combines matching game theory for user association, sequential convex approximation (SCA) for UAV trajectory, and soft actor-critic (SAC) reinforcement learning for slice resource allocation. Simulation results show that SAC-MS outperforms TD3-MS, DDPG-MS, DQN-MS, and hard slicing, improving system utility by 10.53%, 13.17%, 31.25%, and 45.38%, respectively.","url":"https://pubmed.ncbi.nlm.nih.gov/41013069/","authors":["Chen G","Sun F","Jing G","Pang T"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025 Sep 18","doi":"10.3390/s25185833","addedAt":"2026-08-31T06:40:02.532Z","updatedAt":"2026-08-31T06:40:02.532Z"},{"id":"pmid:41012990","name":"UAV Array-Aided Visible Light Communication with Enhanced Angle Diversity Transmitter.","source":"pubmed","abstract":"Visible light communication (VLC) aided by unmanned aerial vehicles (UAVs) offers significant advantages in adapting to dynamic network requirements, but the endurance and service capability of UAVs are still the key limiting factors. To overcome this limitation, the UAV array-aided VLC system with an enhanced angle diversity transmitter (ADT) is proposed to improve energy efficiency (EE). Enhanced ADTs with varying LED layers, multiple LEDs per layer, and inter-layer rotation angles are considered. By jointly optimizing the inclination angle of the side LEDs in the enhanced ADT and the hovering height of the UAVs, this research aims to minimize the power consumption of the UAV array-aided VLC system while meeting illumination and communication requirements. The simulation results present that the EE of the centralized single-UAV VLC system can be greatly improved by applying the enhanced ADT structures. More specifically, compared with the single LED transmitter configuration, an EE enhancement of up to 215.7% can be achieved by the enhanced ADT, which employs multi-layer LEDs, inter-layer rotation, and layer-doubled designs. In addition, the EE can be further improved by the deployment of a distributed UAV array. The VLC system with four UAVs is demonstrated to achieve a peak EE performance of 19.9 bits/J/Hz, representing a 298% improvement over the centralized single-UAV configuration.","url":"https://pubmed.ncbi.nlm.nih.gov/41012990/","authors":["Wang W","Zeng Z","Chen C","Wang D","Liu M","Haas H"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025 Sep 15","doi":"10.3390/s25185752","addedAt":"2026-08-31T06:40:02.532Z","updatedAt":"2026-08-31T06:40:02.532Z"},{"id":"pmid:41008093","name":"Multi-UAV-Assisted ISAC System: Joint User Association, Trajectory Design, and Resource Allocation.","source":"pubmed","abstract":"Unmanned aerial vehicle (UAV)-assisted integrated sensing and communication (ISAC) systems have developed rapidly in the sixth generation (6G) era. However, factors such as the mobility of ground users and malicious jamming pose significant challenges to systems' performance and reliability. Against this backdrop, this paper designs a multi-UAV-assisted ISAC system model under malicious jamming environments. Under the constraint of sensing accuracy, the total communication rate of the system is maximized through joint optimization of user association, UAV trajectory, and transmit power. The problem is then decomposed into three subproblems, which are solved using the improved auction algorithm (IAA), dream optimization algorithm (DOA), and rapidly-exploring random trees-based optimizer algorithm (RRTOA). The global optimal solution is approached through the alternating optimization-based predictive scheduling algorithm (AOPSA). Meanwhile, this paper also introduces a long short-term memory (LSTM) network to predict users' dynamic positions, addressing the impact of user mobility and enhancing the system's real-time performance. Simulation results show that compared with the baseline scheme, the proposed algorithm achieves a 188% improvement in communication rate, which verifies its effectiveness and superiority.","url":"https://pubmed.ncbi.nlm.nih.gov/41008093/","authors":["Wang J","Xu R","Peng L","Wei X"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025 Sep 17","doi":"10.3390/e27090967","addedAt":"2026-08-31T06:40:02.532Z","updatedAt":"2026-08-31T06:40:02.532Z"},{"id":"pmid:41005240","name":"Accurate detection of rice blast using UAV hyperspectral red-edge bands and deep learning method based on cross-attention.","source":"pubmed","abstract":"Rice blast is a fungal disease that threatens rice yield and quality, and timely detection methods are essential to control its spread. Unmanned aerial vehicle (UAV)-based optical Remote Sensing offers a promising approach for monitoring disease in field environments. However, the complex symptoms of rice blast make it challenging to capture the sensitivity of hyperspectral features to disease progression. This study first proposed a collaborative gray wolf optimizer feature selection method with mutual information ranking (MI-CGWO) for characterizing the spectral response of rice blast. Subsequently, the impact of different combinations of canopy red-edge reflectance and fraction vegetation coverage (FVC) on rice blast was evaluated. On this basis, a channel fusion dense cross-attention transformer (CFXFormer) disease monitoring model was developed. The model incorporated a channel interaction fusion module (CIFM) to mitigate modal discrepancies. Additionally, a cross-attention mechanism using Gaussian and self-attention was introduced to capture relationships between fine-grained and coarse-grained data. The results demonstrated that MI-CGWO achieved better classification accuracy with fewer features in a shorter time. Furthermore, vegetation indices (VIs) covering the red-edge and FVC significantly improved model performance compared to models based on conventional VIs, with average OA and Kappa reaching 95.07&#xa0;% and 93.80&#xa0;%. Meanwhile, the ideal red edge band may be located at about 701-711&#xa0;nm and 739&#xa0;nm. Compared to other classification methods, CFXFormer achieved the best classification performance, with a maximum OA and Kappa of 96.59&#xa0;% and 95.71&#xa0;%. Overall, this study offers scientific support for precision agriculture and provides a reference for detecting other crop diseases.","url":"https://pubmed.ncbi.nlm.nih.gov/41005240/","authors":["Qi Y","Liu T","Guo S","Wu P","Ma J","Yuan Q","Yao W","Xu T"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2026 Feb 5","doi":"10.1016/j.saa.2025.126939","addedAt":"2026-08-31T06:40:02.532Z","updatedAt":"2026-08-31T06:40:02.907Z"},{"id":"pmid:41002839","name":"A Concept for Bio-Agentic Visual Communication: Bridging Swarm Intelligence with Biological Analogues.","source":"pubmed","abstract":"Biological swarms communicate through decentralized, adaptive behaviors shaped by local interactions, selective attention, and symbolic signaling. These principles of animal communication enable robust coordination without centralized control or persistent connectivity. This work presents a proof of concept that identifies, evaluates, and translates biological communication strategies into a generative visual language for unmanned aerial vehicle (UAV) swarm agents operating in radio-frequency (RF)-denied environments. Drawing from natural exemplars such as bee waggle dancing, white-tailed deer flagging, and peacock feather displays, we construct a configuration space that encodes visual messages through trajectories and LED patterns. A large language model (LLM), preconditioned using retrieval-augmented generation (RAG), serves as a generative translation layer that interprets perception data and produces symbolic UAV responses. Five test cases evaluate the system's ability to preserve and adapt signal meaning through within-modality fidelity (maintaining symbolic structure in the same modality) and cross-modal translation (transferring meaning across motion and light). Covariance and eigenvalue-decomposition analysis demonstrate that this bio-agentic approach supports clear, expressive, and decentralized communication, with motion-based signaling achieving near-perfect clarity and expressiveness (0.992, 1.000), while LED-only and multi-signal cases showed partial success, maintaining high expressiveness (~1.000) but with much lower clarity (&#x2264;0.298).","url":"https://pubmed.ncbi.nlm.nih.gov/41002839/","authors":["Starbuck B","Li H","Cochran B","Weissburg M","Bras B"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.3390/biomimetics10090605","addedAt":"2026-08-31T06:40:02.532Z","updatedAt":"2026-08-31T06:40:08.030Z"},{"id":"pmid:40995822","name":"A wind-tunnel gust generator for soaring birds and small UAVs.","source":"pubmed","abstract":"The operation of small uncrewed aerial vehicles (SUAVs) is limited by their inability to maintain steady flight trajectories in gusty conditions. Birds, however, regularly fly in the same gusty conditions with apparent ease. The mechanisms birds use to maintain steady flight in these conditions are not well understood. A wind-tunnel gust generator was developed to produce vertical and rolling gusts to perturb soaring birds so that their gust responses may be studied. The gust generator was located downstream of the birds and modified the strength of the updraft in which the birds soared. An example downward step gust, upward step gust and rolling pulse gust were characterised to demonstrate the gust generator's performance. The gusts were highly repeatable and resulted in changes of effective angle of attack of up to 20&#xa0;deg, in periods of 0.2&#xa0;s. Nankeen kestrels (Falco cenchroides) successfully soared above the operational gust generator, demonstrating its potential for use in future studies.","url":"https://pubmed.ncbi.nlm.nih.gov/40995822/","authors":["Penn M","Yi G","Watkins S","Windsor SP","Mohamed A"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025 Oct 15","doi":"10.1242/jeb.250430","addedAt":"2026-08-31T06:40:02.532Z","updatedAt":"2026-08-31T06:40:02.532Z"},{"id":"pmid:40995010","name":"Estimating the full-period rice leaf area index using CNN-LSTM-Attention and multispectral images from unmanned aerial vehicles.","source":"pubmed","abstract":"Leaf area index (LAI) of rice is a crucial parameter for assessing the growth conditions and predicting yields. However, traditional measurement methods are inefficient and insufficient for large-scale monitoring.","url":"https://pubmed.ncbi.nlm.nih.gov/40995010/","authors":["Li H","Yue L","Luo S"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.3389/fpls.2025.1636967","addedAt":"2026-08-31T06:40:02.532Z","updatedAt":"2026-08-31T06:40:02.532Z"},{"id":"pmid:40993302","name":"Multi-branch and multi-label tree species classification using deep learning for UAV aerial photography and Sentinel remote sensing images.","source":"pubmed","abstract":"The classification and identification of forest tree species is of great value in the study of species diversity and forest monitoring. With the development of emerging technologies, the combination of remote sensing images and deep learning methods has become an important means to study multi-label image classification. However, nowadays, due to the small difference between tree species images, the difficulty of artificial labeling, and the difficulty of obtaining data sets, there are few studies on multi-label classification for tree species images. Therefore, taking the TreeSatAI dataset as an example, a multi-branch and multi-label image classification model (MMTSC) specifically designed for multi-source remote sensing data is proposed to classify and identify 15 tree species in the dataset. In a complex forest stand scenario with unbalanced data, our F1-Score and Precision are as high as about 72% and 82%, respectively. The visualization results of the confusion matrix and Grad-CAM heat map further verify the model's recognition ability on different categories. To comprehensively evaluate the model performance, we compared it with other state-of-the-art (SOTA) methods for multi-label image classification tasks and conducted a series of ablation experiments. Experimental results show that the MMTSC model outperforms other SOTA methods in F1-Score, Precision, Recall, and mAP. In addition, we also compared the model's backbone network DenseNet121 with the classic structures of EfficientNet-B0, ConvNeXt-Tiny, ResNet-18, MobileNetV3 and RegNetX-800MF. The evaluation results showed that the DenseNet121 architecture performed best in this task, verifying its effectiveness and adaptability as a backbone network. Finally, we use the results of the deep learning-based multi-label tree species classification model for biomass estimation, providing practical suggestions for relevant institutions, thereby contributing to the scientific management of forest resources and the improvement of carbon sequestration capacity.","url":"https://pubmed.ncbi.nlm.nih.gov/40993302/","authors":["Qin T","Zhao Q"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025 Sep 24","doi":"10.1038/s41598-025-19827-5","addedAt":"2026-08-31T06:40:02.532Z","updatedAt":"2026-08-31T06:40:02.532Z"},{"id":"pmid:40989354","name":"An advanced error state Kalman filter (ESKF)-based terrain contour matching (TERCOM) method for tracking an aerial vehicle using a low-cost digital elevation map.","source":"pubmed","abstract":"Terrain Aided Navigation (TAN) systems hold significant potential for delivering accurate navigation for Uncrewed Aerial Vehicles (UAVs). However, a major limitation of conventional TAN systems lies in the time-consuming correlation technique used to search the a priori map, specifically the Digital Elevation Maps (DEM). This article presents a fuzzy heuristic method for the mean absolute deviation (MAD) correlation scheme (FH-MAD), aimed at reducing the computational complexity and execution time of the TAN algorithm. The fuzzy logic system uses heading and roll angle data from onboard sensors to determine the aircraft's matching area. The output membership functions are designed based on parameters that depend on terrain features. Additionally, the proposed method incorporates an error state Kalman Filter (ESKF) as the navigation algorithm to estimate the UAV's position under various maneuvering conditions. To evaluate the effectiveness of the proposed system, tests were conducted using two distinct DEMs with varying topographical characteristics and dimensions. The results demonstrate improved position accuracy and a significant reduction in computation time compared to traditional TAN methods, making the approach suitable for real-time UAV navigation applications.","url":"https://pubmed.ncbi.nlm.nih.gov/40989354/","authors":["Kadri MB","Yousuf S"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.7717/peerj-cs.3118","addedAt":"2026-08-31T06:40:02.532Z","updatedAt":"2026-08-31T06:40:02.532Z"},{"id":"pmid:40983464","name":"Scale-dependent controls on forest gaps shaped by large trees and topographic heterogeneity.","source":"pubmed","abstract":"The size, number, and distribution of forest canopy gaps vary significantly across spatial scales, yet their relationships with underlying drivers, such as large trees, topography, and soil properties, remain insufficiently comprehended. We utilized an unmanned aerial vehicle to measure forest gap patterns (size, number, and aggregation) at seven spatial scales (20-400&#x2009;m) in four subtropical forests and quantified the effect of large trees, topography, and soil in shaping gap patterns using ground inventory data. Gap size and aggregation showed significant variation across scales. Large trees and topographic complexity were major factors of gap patterns, with their effects depending on scale. Large trees in two forests had a significantly negative effect on gap size and density at the 20-m scale, but this effect was weaker and positive at the 100-m scale. Topography had the strongest effect on gap aggregation at a small scale (20&#x2009;m) and on gap size and density at a larger scale (100&#x2009;m). These results underscore the importance of spatial scale in understanding forest dynamics and highlight how community-level factors shape canopy structure. Identifying scale-dependent drivers of gap patterns can inform gap-based restoration and conservation strategies. Forest managers can reduce gap clustering by protecting large trees, especially in wind-prone areas, helping to maintain canopy structure, promote species diversity, and enhance ecosystem resilience.","url":"https://pubmed.ncbi.nlm.nih.gov/40983464/","authors":["Chen J","Jucker T","Wang X","Fischer FJ","Zhang B","Zhang Z","Hu J","Yang Q","Wang X","Liu Y","Zhang M","Lian J","Ye W","Li B","Chu C","Liang X","Zhang J"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025 Sep","doi":"10.1002/eap.70109","addedAt":"2026-08-31T06:40:02.532Z","updatedAt":"2026-08-31T06:40:02.532Z"},{"id":"pmid:40982484","name":"Research on UAV dynamic frame rate adaptation and multi-feature fusion network optimization in intelligent monitoring of animal husbandry.","source":"pubmed","abstract":"Precision livestock farming, particularly the collective rearing of animals, remains a pivotal area of focus within agricultural research. However, tracking group-raised animals under conditions of poor lighting, occlusion, and complex outdoor environments continues to pose significant challenges. Due to the intricacies of these conditions, existing methodologies frequently encounter reduced tracking accuracy, decelerated processing rates, and recurrent failures amid occlusion and drift. In response to these challenges, this study introduces SiamCMR, a sophisticated RGB-Thermal (RGBT) object tracking framework tailored for the prolonged observation of group-raised Holstein cows. Constructed upon a dual-stream Siamese network architecture, SiamCMR incorporates innovative feature fusion techniques to deliver robust, real-time tracking capabilities. The framework utilizes a Complementary Coupled Feature Fusion (CCFF) module that merges semi-shared convolutional filters with adaptive sigmoid weighting to efficaciously amalgamate modality-specific features derived from RGB and thermal inputs. To further refine the fusion quality under diverse illumination conditions, we have developed a Multimodal Weight Penalty Module (MWPM), which selectively emphasizes informative channels via batch normalization scaling and feature variance analysis. The framework's resilience to occlusions and drift is enhanced through the integration of reinforcement learning. In experimental evaluations using our proprietary dataset, SiamCMR maintained real-time processing at 135 frames per second (FPS), achieving 81.3% precision (PR) and 58.2% success rate (SR). When compared to the baseline Siamese tracker, SiamFT, which recorded 76.5% PR, 56.2% SR, and 45 FPS, our approach exhibited improvements of 4.8% in PR, 2.0% in SR, and a threefold increase in processing speed, thereby enhancing both tracking accuracy and robustness. Moreover, the system's efficacy has been corroborated through successful implementations on a UAV platform in real-world ranch settings. Results from ablation studies under severe occlusions, light interference, low illumination, and low temperatures validate the effectiveness of the primary components. This research delineates an innovative real-time cattle-tracking solution that augments pasture management by facilitating precise monitoring of cow positions, behaviors, and health, ultimately optimizing feeding strategies and enhancing milk quality and safety.","url":"https://pubmed.ncbi.nlm.nih.gov/40982484/","authors":["Luo W","Li L","Luo X","Shao Q","Tang R","Liu K","Li X","Liu X","Wang Q","Ren D","Wang D"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.1371/journal.pone.0331850","addedAt":"2026-08-31T06:40:02.532Z","updatedAt":"2026-08-31T06:40:09.764Z"},{"id":"pmid:40978794","name":"Genome-wide association study of wheat chlorophyll dynamics under drought and irrigation using multispectral UAV phenotyping.","source":"pubmed","abstract":"High-throughput phenotypic analysis using multispectral unmanned aerial vehicle (UAV) technology is a critical approach for enhancing the efficiency and accuracy of gene mining. This study aimed to evaluate the feasibility of UAV-based remote sensing techniques in predicting chlorophyll content and conducting genome-wide association studies (GWAS) for winter wheat under both normal and drought stress conditions. The study was conducted in the fall of 2019 at the Zepu and Manas experimental bases using winter wheat. Chlorophyll content was measured manually during the heading, flowering, and grain filling stages and compared with data obtained via UAV-mounted multispectral sensors. A predictive model for chlorophyll content was developed using UAV data and validated against manual measurements. The predicted and measured chlorophyll values were then integrated into a GWAS to identify loci associated with chlorophyll content.Chlorophyll content values differed across growth stages, with both measured and predicted values increasing from the heading to grain filling stages. Under normal conditions, manual measurements ranged from 43.96 to 65.85, while UAV-predicted values ranged from 47.59 to 62.29. Under drought conditions, manual measurements ranged from 45.00 to 66.33, and UAV-predicted values ranged from 47.83 to 65.89. Correlation coefficients between measured and predicted values were high under normal conditions (0.90-0.93 during heading, 0.91-0.92 during flowering, and 0.88-0.90 during filling) and moderate to high under drought stress (0.57-0.70, 0.89-0.91, and 0.94-0.96, respectively). A neural network model demonstrated high accuracy in predicting chlorophyll content. GWAS revealed 308 loci associated with chlorophyll content, with UAV-predicted data identifying 206 loci across 21 chromosomes, explaining 7.58%-19.58% of the phenotypic variation. Measured values identified 102 loci across 21 chromosomes, accounting for 9.31%-15.83% of the variation. Eighteen overlapping loci were detected on chromosomes 1A, 1B, 2B, 3B, 4B, 5A, 5B, 5D, 6B, 6D, 7A, and 7B. This study confirms the reliability of UAV-based multispectral data for chlorophyll content inversion and GWAS. Site-specific differences in prediction quality were observed, with site P showing stronger correlations and higher prediction accuracy. Analysis of loci identified 21 candidate genes potentially related to chlorophyll content, including those encoding chlorophyll a/b-binding proteins, aquaporins, and chlorophyll kinases. These findings demonstrate the potential of UAV technology for high-throughput, efficient, and accurate phenotyping, facilitating better understanding of the genetic mechanisms underlying chlorophyll content variation.","url":"https://pubmed.ncbi.nlm.nih.gov/40978794/","authors":["Cheng Y","He W","Zheng F","Zhang F","Bai B","Sun N","Wang W","Geng H"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.3389/fpls.2025.1607862","addedAt":"2026-08-31T06:40:02.532Z","updatedAt":"2026-08-31T06:40:02.532Z"},{"id":"pmid:40969112","name":"UAV-Based LiDAR and Multispectral Imaging for Estimating Dry Bean Plant Height, Lodging and Seed Yield.","source":"pubmed","abstract":"Dry bean, the fourth-largest pulse crop in Canada is increasingly impacted by climate variability, needing efficient methods to support cultivar development. This study investigates the potential of unmanned aerial vehicle (UAV)-based Light Detection and Ranging (LiDAR) and multispectral imaging (MSI) for high-throughput phenotyping of dry bean traits. Image data were collected across two dry bean field trials to assess plant height, lodging and seed yield. Multiple LiDAR-derived features accessing canopy height, crop lodging and digital biomass were evaluated against manual height measurements, visually rated lodging scale and seed yield, respectively. At the same time, three MSI-derived data were used to estimate seed yield. Classification- and regression-based machine learning models were used to estimate key agronomic traits using both LiDAR and MSI-based crop features. The canopy height derived from LiDAR showed a good correlation (R 2 = 0.86) with measured plant height at the mid-pod filling (R6) stage. Lodging classification was most effective using Gradient Boosting, Random Forest and Logistic Regression, with R8 (physiological maturity stage) canopy height being the dominant predictor. For seed yield prediction, models integrating LiDAR and MSI outperformed individual datasets, with Gradient Boosting Regression Trees yielding the highest accuracy (R 2 = 0.64, RMSE = 687.2 kg/ha and MAE = 521.6 kg/ha). Normalized Difference Vegetation Index (NDVI) at the R6 stage was identified as the most informative spectral feature. Overall, this study demonstrates the importance of integrating UAV-based LiDAR and MSI for accurate, non-destructive phenotyping in dry bean breeding programs.","url":"https://pubmed.ncbi.nlm.nih.gov/40969112/","authors":["Panigrahi SS","Singh KD","Balasubramanian P","Wang H","Natarajan M","Ravichandran P"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025 Jun 4","doi":"10.3390/s25113535","addedAt":"2026-08-31T06:40:02.532Z","updatedAt":"2026-08-31T06:40:02.532Z"},{"id":"pmid:40969049","name":"Research on a Particle Filtering Multi-Target Tracking Algorithm for Distributed Systems.","source":"pubmed","abstract":"The growth of unmanned aerial vehicle applications in the low-altitude economy demand advanced multi-target tracking systems. Unlike traditional approaches that assume independent measurements, distributed systems generate coupled measurements containing additional target relationship information. This paper proposes a novel distributed particle filtering algorithm through introducing the coupled measurement into the conventional particle filtering method. In the proposed method, we fuse direct and coupled measurements via optimization and then build a cost function to optimize the particle weights. Comparative evaluations across motion models, noise levels, and the number of targets demonstrate the outperforming performance of the proposed method compared to conventional particle filtering and the unscented Kalman filtering algorithm, with more than 7% accuracy improvement over baselines. The results prove particular robustness to measurement noise and the increasing number of targets.","url":"https://pubmed.ncbi.nlm.nih.gov/40969049/","authors":["Han B","Ge Z","Su Z","Hao J"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025 May 31","doi":"10.3390/s25113495","addedAt":"2026-08-31T06:40:02.532Z","updatedAt":"2026-08-31T06:40:02.532Z"},{"id":"pmid:40969021","name":"Detection-Driven Gaussian Mixture Probability Hypothesis Density Multi-Target Tracker for Airborne Infrared Platforms.","source":"pubmed","abstract":"Recent advancements in the unmanned aerial vehicle remote sensing field have highlighted the effectiveness of infrared sensors in detecting and tracking time-sensitive ground targets, particularly within the domain of early warning and surveillance. However, the limitations inherent in airborne infrared platforms can lead to irregular imaging and inadequate textural features. This study presents a multi-object tracking system specifically designed for weak-textured infrared targets, aimed at enhancing detection accuracy and tracking stability. Initially, improvements are made to the YOLOv10 model through the incorporation of modules such as DSA, c2f_fasterblock, and NMSFree, which collectively enhance detection accuracy and robustness for weak-textured targets. Subsequently, the detection results are employed in conjunction with GM-PHD tracking, enabling rapid and stable target tracking. The proposed methodology demonstrates a 2.3% improvement in detection accuracy and a 3.8% increase in recall when assessed using publicly available infrared tracking datasets. Notably, the key tracking metric, MOTA, achieves a value of 90.7%, while the IDF1 score reaches 94.6%. The findings from the experiments indicate that the proposed algorithm surpasses current methodologies regarding effectiveness, accuracy, and robustness in the context of infrared multi-target tracking tasks, thereby meeting the requirements associated with airborne infrared target tracking tasks.","url":"https://pubmed.ncbi.nlm.nih.gov/40969021/","authors":["Hong M","Wang J","Zhu M","Cao S","Nie H","Xu X"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025 May 31","doi":"10.3390/s25113491","addedAt":"2026-08-31T06:40:02.533Z","updatedAt":"2026-08-31T06:40:02.533Z"},{"id":"pmid:40968894","name":"Energy-Efficient Multi-Agent Deep Reinforcement Learning Task Offloading and Resource Allocation for UAV Edge Computing.","source":"pubmed","abstract":"The integration of Unmanned Aerial Vehicles (UAVs) into Mobile Edge Computing (MEC) systems has emerged as a transformative solution for latency-sensitive applications, leveraging UAVs' unique advantages in mobility, flexible deployment, and on-demand service provisioning. This paper proposes a novel multi-agent reinforcement learning framework, termed Multi-Agent Twin Delayed Deep Deterministic Policy Gradient for Task Offloading and Resource Allocation (MATD3-TORA), to optimize task offloading and resource allocation in UAV-assisted MEC networks. The framework enables collaborative decision making among multiple UAVs to efficiently serve sparsely distributed ground mobile devices (MDs) and establish an integrated mobility, communication, and computational offloading model, which formulates a joint optimization problem aimed at minimizing the weighted sum of task processing latency and UAV energy consumption. Extensive experiments demonstrate that the algorithm achieves improvements in system latency and energy efficiency compared to conventional approaches. The results highlight MATD3-TORA's effectiveness in addressing UAV-MEC challenges, including mobility-energy tradeoffs, distributed decision making, and real-time resource allocation.","url":"https://pubmed.ncbi.nlm.nih.gov/40968894/","authors":["Xu S","Liu Q","Gong C","Wen X"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025 May 28","doi":"10.3390/s25113403","addedAt":"2026-08-31T06:40:02.533Z","updatedAt":"2026-08-31T06:40:02.533Z"},{"id":"pmid:40968882","name":"A Survey on Free-Space Optical Communication with RF Backup: Models, Simulations, Experience, Machine Learning, Challenges and Future Directions.","source":"pubmed","abstract":"As sensor technology integrates into modern life, diverse sensing devices have become essential for collecting critical data that enables human-machine interfaces such as autonomous vehicles and healthcare monitoring systems. However, the growing number of sensor devices places significant demands on network capacity, which is constrained by the limitations of radio frequency (RF) technology. RF-based communication faces challenges such as bandwidth congestion and interference in densely populated areas. To overcome these challenges, a combination of RF with free-space optical (FSO) communication is presented. FSO is a laser-based wireless solution that offers high data rates and secure communication, similar to fiber optics but without the need for physical cables. However, FSO is highly susceptible to atmospheric turbulence and conditions such as fog and smoke, which can degrade performance. By combining the strengths of both RF and FSO, a hybrid FSO/RF system can enhance network reliability, ensuring seamless communication in dynamic urban environments. This review examines hybrid FSO/RF systems, covering both theoretical models and real-world applications. Three categories of hybrid systems, namely hard switching, soft switching, and relay-based mechanisms, are proposed, with graphical models provided to improve understanding. In addition, multi-platform applications, including autonomous, unmanned aerial vehicles (UAVs), high-altitude platforms (HAPs), and satellites, are presented. Finally, the paper identifies key challenges and outlines future research directions for hybrid communication networks.","url":"https://pubmed.ncbi.nlm.nih.gov/40968882/","authors":["Phuchortham S","Sabit H"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025 May 24","doi":"10.3390/s25113310","addedAt":"2026-08-31T06:40:02.533Z","updatedAt":"2026-08-31T06:40:02.533Z"},{"id":"pmid:40968854","name":"YOLOv8-MFD: An Enhanced Detection Model for Pine Wilt Diseased Trees Using UAV Imagery.","source":"pubmed","abstract":"Pine Wilt Disease (PWD) is a highly infectious and lethal disease that severely threatens global pine forest ecosystems and forestry economies. Early and accurate detection of infected trees is crucial to prevent large-scale outbreaks and support timely forest management. However, existing remote sensing-based detection models often struggle with performance degradation in complex environments, as well as a trade-off between detection accuracy and real-time efficiency. To address these challenges, we propose an improved object detection model, YOLOv8-MFD, designed for accurate and efficient detection of PWD-infected trees from UAV imagery. The model incorporates a MobileViT-based backbone that fuses convolutional neural networks with Transformer-based global modeling to enhance feature representation under complex forest backgrounds. To further improve robustness and precision, we integrate a Focal Modulation mechanism to suppress environmental interference and adopt a Dynamic Head to strengthen multi-scale object perception and adaptive feature fusion. Experimental results on a UAV-based forest dataset demonstrate that YOLOv8-MFD achieves a precision of 92.5%, a recall of 84.7%, an F1-score of 88.4%, and a mAP@0.5 of 88.2%. Compared to baseline models such as YOLOv8 and YOLOv10, our method achieves higher accuracy while maintaining acceptable computational cost (11.8 GFLOPs) and a compact model size (10.2 MB). Its inference speed is moderate and still suitable for real-time deployment. Overall, the proposed method offers a reliable solution for early-stage PWD monitoring across large forested areas, enabling more timely disease intervention and resource protection. Furthermore, its generalizable architecture holds promise for broader applications in forest health monitoring and agricultural disease detection.","url":"https://pubmed.ncbi.nlm.nih.gov/40968854/","authors":["Shi H","Wang Y","Feng X","Xie Y","Zhu Z","Guo H","Jin G"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025 May 24","doi":"10.3390/s25113315","addedAt":"2026-08-31T06:40:02.533Z","updatedAt":"2026-08-31T06:40:02.533Z"},{"id":"pmid:40968850","name":"Review of the Application of UAV Edge Computing in Fire Rescue.","source":"pubmed","abstract":"The use of unmanned aerial vehicles (UAVs) attracts significant attention, especially in fire emergency rescue, where UAVs serve as indispensable tools. In fire rescue scenarios, the rapid increase in the amount of data collected and transmitted by sensors poses significant challenges to traditional methods of data storage and computing. Sensor-data processing utilizing UAV edge computing technology is emerging as a research hotspot in this field and aims to address the challenges of data preprocessing and feature analysis during fire emergency rescue. This review first analyzes fire-rescue scenarios involving UAV, including forest fires, high-rise building fires, chemical plant fires, and mine fires. Then it discusses the current status of UAV edge computing technology and its application to integrating sensor data in fire emergency rescue, analyzes the advantages and disadvantages of UAV use in fire scenarios, and identifies challenges during by UAV operations in environments with no GNSS signal. Finally, based on the analysis of fire emergency-rescue scenarios, this review argues that compared with centralized computing centers and cloud computing, distributed UAV edge computing technology based on sensor data exhibits higher mobility and timeliness and is more adaptable to the urgent nature of emergency rescue. This review also seeks to provide support and reference for the research and development of UAV edge technology.","url":"https://pubmed.ncbi.nlm.nih.gov/40968850/","authors":["Sun H","Xu R","Luo J","Cheng H"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.3390/s25113304","addedAt":"2026-08-31T06:40:02.533Z","updatedAt":"2026-08-31T06:40:09.764Z"},{"id":"pmid:40963833","name":"A field rice panicle detection model based on improved YOLOv11x.","source":"pubmed","abstract":"Rice serves as the staple food for over 50% of the world's population, making its yield prediction crucial for food security. The number of panicles per unit area is a core parameter for estimating rice yield. However, traditional manual counting methods suffer from low efficiency and significant subjective bias, while unmanned aerial vehicle (UAV) images used for panicle detection face challenges such as densely distributed panicles, large scale variations, and severe occlusion. To address the above challenges, this paper proposes a rice panicle detection model based on an improved You Only Look Once version 11x (YOLOv11x) architecture. The main improvements include: 1) Introducing a Bi-level Routing Attention (BRA) mechanism into the backbone network to improve the feature representation capability for small objects; 2) Adopting a Transformer-based detection head (TransHead) to capture long-term spatial dependencies; 3) Integrating a Selective Kernel (SK) Attention module to achieve dynamic multi-scale feature fusion; 4) Designing a multi-level feature fusion architecture to enhance multi-scale adaptability. Experimental results demonstrate that the improved model achieves an mAP@0.5 of 89.4% on our self-built dataset, representing a 3% improvement over the baseline YOLOv11x model. It also achieves a Precision of 87.3% and an F1-score of 84.1%, significantly outperforming mainstream algorithms such as YOLOv8 and Faster R-CNN. Additionally, panicle counting tests conducted on 300 rice panicle images show that the improved model achieves R 2 = 0.85, RMSE = 2.33, and rRMSE = 0.13, indicating a good fitting effect. The proposed model provides a reliable solution for intelligent in-field rice panicle detection using UAV images and holds significant importance for precise rice yield estimation.","url":"https://pubmed.ncbi.nlm.nih.gov/40963833/","authors":["Luo Y","Li X","Bai B","Yu X","Wang Y","Ma Z","Zhang L","Peng X"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.3389/fpls.2025.1656505","addedAt":"2026-08-31T06:40:02.533Z","updatedAt":"2026-08-31T06:40:02.533Z"},{"id":"pmid:40961821","name":"A review on ultrasound-enhanced heat transfer.","source":"pubmed","abstract":"This review comprehensively examines recent advances in ultrasound-enhanced heat transfer, a promising active cooling technology for high-heat-flux electronic devices. It systematically analyzes the fundamental mechanisms: thermal effect, acoustic cavitation, acoustic streaming, acoustic fountain and atomization. Among them, acoustic cavitation and acoustic streaming are identified as the two primary mechanisms for enhancing heat transfer. In addition, the review discusses their roles in improving heat transfer in single-phase flow, pool boiling, forced convective boiling, and heat exchanger. Key influencing parameters, such as ultrasonic frequency, power, transducer configuration, flow rate, heat flux, and subcooling are critically evaluated. The synergistic effects of combining ultrasound with nanofluids, channel structure, and other active methods are also highlighted. Numerical modeling approaches, including bubble dynamics and multiphysics simulations, are reviewed for their potential in exploring underlying mechanisms and optimizing system performance. Finally, current challenges and future research directions are outlined, with a focus on multiscale coupling, energy efficiency, and adaptability under extreme conditions.","url":"https://pubmed.ncbi.nlm.nih.gov/40961821/","authors":["Li C","Luo Z","Shao Y","Qian Y","Du S","Yang Q","Chen Z","Chen H","Zha Y","Fang X"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025 Oct","doi":"10.1016/j.ultsonch.2025.107570","addedAt":"2026-08-31T06:40:02.533Z","updatedAt":"2026-08-31T06:40:02.533Z"},{"id":"pmid:40946062","name":"Distributed adaptive fault-tolerant cooperative control for fixed-wing UAVs with actuator faults and input constraints.","source":"pubmed","abstract":"This paper proposes a distributed fault-tolerant cooperative control framework for multiple fixed-wing UAVs (FUAVs), grounded on a complete six-degrees-of-freedom (6-DOF) nonlinear dynamic model. The architecture integrates position and attitude control, explicitly accounting for actuator faults and multiple input constraints. In the outer loop, an adaptive proportional-derivative (PD) controller is implemented, with its gains optimized online via a model predictive control (MPC) strategy to handle time-varying constraints. The inner loop incorporates a fixed-time extended state observer (ESO) to estimate uncertainties and actuator degradation, combined with an online optimization mechanism to enforce actuator limits and enhance fault resilience. Uniform ultimate boundedness of tracking errors is formally guaranteed through Lyapunov analysis. Hardware-in-the-loop (HIL) simulations on a Pixhawk 6C autopilot, along with comparative studies against representative control strategies, demonstrate the proposed scheme's real-time feasibility and strong robustness under actuator faults and multiple input constraints.","url":"https://pubmed.ncbi.nlm.nih.gov/40946062/","authors":["Fu M","Yu Z","Zhang Y"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025 Dec","doi":"10.1016/j.isatra.2025.08.049","addedAt":"2026-08-31T06:40:02.533Z","updatedAt":"2026-08-31T06:40:02.533Z"},{"id":"pmid:40942835","name":"Deep Learning Image-Based Classification for Post-Earthquake Damage Level Prediction Using UAVs.","source":"pubmed","abstract":"Unmanned Aerial Vehicles (UAVs) integrated with lightweight deep learning models represent an effective solution for image-based rapid post-earthquake damage assessment. UAVs, equipped with cameras, capture high-resolution aerial imagery of disaster-stricken areas, providing essential data for evaluating structural damage. When paired with light eight Convolutional Neural Network (CNN) models, these UAVs can process the captured images onboard, enabling real-time, accurate damage level predictions that might with potential interest to orient efficiently the efforts of the Search and Rescue (SAR) teams. This study investigates the use of the MobileNetV3-Small lightweight CNN model for real-time post-earthquake damage level prediction using UAV-captured imagery. The model is trained to classify three levels of post-earthquake damage, ranging from no damage to severe damage. Experimental results show that the adapted MobileNetV3-Small model achieves the lowest FLOPs, with a significant reduction of 58.8% compared to the ShuffleNetv2 model. Fine-tuning the last five layers resulted in a slight increase of approximately 0.2% in FLOPs, but significantly improved accuracy and robustness, yielding a 4.5% performance boost over the baseline. The model achieved a weighted average F-score of 0.93 on a merged dataset composed of three post-earthquake damage level datasets. It was successfully deployed and tested on a Raspberry Pi 5, demonstrating its feasibility for edge-device applications. This deployment highlighted the model's efficiency and real-time performance in resource-constrained environments.","url":"https://pubmed.ncbi.nlm.nih.gov/40942835/","authors":["Alsaaran N","Soudani A"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025 Sep 2","doi":"10.3390/s25175406","addedAt":"2026-08-31T06:40:02.533Z","updatedAt":"2026-08-31T06:40:02.533Z"},{"id":"pmid:40942798","name":"AeroLight: A Lightweight Architecture with Dynamic Feature Fusion for High-Fidelity Small-Target Detection in Aerial Imagery.","source":"pubmed","abstract":"Small-target detection in Unmanned Aerial Vehicle (UAV) aerial images remains a significant and unresolved challenge in aerial image analysis, hampered by low target resolution, dense object clustering, and complex, cluttered backgrounds. In order to cope with these problems, we present AeroLight, a novel and efficient detection architecture that achieves high-fidelity performance in resource-constrained environments. AeroLight is built upon three key innovations. First, we have optimized the feature pyramid at the architectural level by integrating a high-resolution head specifically designed for minute object detection. This design enhances sensitivity to fine-grained spatial details while streamlining redundant and computationally expensive network layers. Second, a Dynamic Feature Fusion (DFF) module is proposed to adaptively recalibrate and merge multi-scale feature maps, mitigating information loss during integration and strengthening object representation across diverse scales. Finally, we enhance the localization precision of irregular-shaped objects by refining bounding box regression using a Shape-IoU loss function. AeroLight is shown to improve mAP50 and mAP50-95 by 7.5% and 3.3%, respectively, on the VisDrone2019 dataset, while reducing the parameter count by 28.8% when compared with the baseline model. Further validation on the RSOD dataset and Huaxing Farm Drone dataset confirms its superior performance and generalization capabilities. AeroLight provides a powerful and efficient solution for real-world UAV applications, setting a new standard for lightweight, high-precision object recognition in aerial imaging scenarios.","url":"https://pubmed.ncbi.nlm.nih.gov/40942798/","authors":["Qiu H","Meng X","Zhao Y","Yu L","Yin S"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025 Aug 30","doi":"10.3390/s25175369","addedAt":"2026-08-31T06:40:02.533Z","updatedAt":"2026-08-31T06:40:02.533Z"},{"id":"pmid:40942747","name":"Instance Segmentation Method for Insulators in Complex Backgrounds Based on Improved SOLOv2.","source":"pubmed","abstract":"To precisely delineate the contours of insulators in complex transmission line images obtained from Unmanned Aerial Vehicle (UAV) inspections and thereby facilitate subsequent defect analysis, this study proposes an instance segmentation framework predicated upon an enhanced SOLOv2 model. The proposed framework integrates a preprocessed edge channel, generated through the Non-Subsampled Contourlet Transform (NSCT), which augments the model's capability to accurately capture the edges of insulators. Moreover, the input image resolution to the network is heightened to 1200 &#xd7; 1600, permitting more detailed extraction of edges. Rather than the original ResNet + FPN architecture, the improved HRNet is utilized as the backbone to effectively harness multi-scale feature information, thereby enhancing the model's overall efficacy. In response to the increased input size, there is a reduction in the network's channel count, concurrent with an increase in the number of layers, ensuring an adequate receptive field without substantially escalating network parameters. Additionally, a Convolutional Block Attention Module (CBAM) is incorporated to refine mask quality and augment object detection precision. Furthermore, to bolster the model's robustness and minimize annotation demands, a virtual dataset is crafted utilizing the fourth-generation Unreal Engine (UE4). Empirical results reveal that the proposed framework exhibits superior performance, with AP 0.50 (90.21%), AP 0.75 (83.34%), and AP [0.50:0.95] (67.26%) on a test set consisting of images supplied by the power grid. This framework surpasses existing methodologies and contributes significantly to the advancement of intelligent transmission line inspection.","url":"https://pubmed.ncbi.nlm.nih.gov/40942747/","authors":["Chen Z","Ji Y","Du X","Zhao S","Huo Z","Fang X"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025 Aug 27","doi":"10.3390/s25175318","addedAt":"2026-08-31T06:40:02.533Z","updatedAt":"2026-08-31T06:40:02.533Z"},{"id":"pmid:40942727","name":"A New Method of Airflow Velocity Measurement by UAV Flight Parameters Analysis for Underground Mine Ventilation.","source":"pubmed","abstract":"The idea of this research is to develop a method of airflow velocity measurement in underground mines having a network of long-distance crossing tunnels, where inspections of the ventilation system are required. Currently, this time-consuming procedure is conducted manually, but it has great importance when the mine configuration is subjected to changes. The method is based on the measurements of UAV trajectory deviation when it crosses the lateral air streams while moving along the tunnel. The signals of the gyroscope from the Inertial Measurement Unit (IMU) are used as indicators. The calibration of the proposed method has been conducted in laboratory conditions similar to real conditions. The minimal sensitivity of 0.3 m/s required by regulations is achievable for small drones, and the error is less than 5%. The maximum measured airflow velocity depends on the UAV model and its stabilization system. Recommendations are formulated for method implementation in practice.","url":"https://pubmed.ncbi.nlm.nih.gov/40942727/","authors":["Wróblewski A","Banasiewicz A","Krot P","Trybała P","Zimroz R","Zinchenko A"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025 Aug 26","doi":"10.3390/s25175300","addedAt":"2026-08-31T06:40:02.533Z","updatedAt":"2026-08-31T06:40:02.533Z"},{"id":"pmid:40942725","name":"Variable-Speed UAV Path Optimization Based on the CRLB Criterion for Passive Target Localization.","source":"pubmed","abstract":"The performance of passive target localization is significantly influenced by the positions of unmanned aerial vehicle swarms (UAVs). In this paper, we investigate the problem of UAV path optimization to enhance the localization accuracy. Firstly, a passive target localization signal model based on the time difference of arrival (TDOA) algorithm, which is then improved by the Chan method and Taylor series expansion, is established. Secondly, the Cramer-Rao lower bound (CRLB) of the modified TDOA algorithm is derived and adopted as the evaluation criterion to optimize the UAVs' positions at each time step. Different from the existing works, in this paper, we consider the UAVs to have variable speed; therefore, the feasible region of the UAVs' positions is changed from a circle into an annular region, which will extend the feasible region, enhancing the localization accuracy while increasing the computation complexity. Thirdly, to improve the efficiency of the UAV path optimization algorithm, the particle swarm optimization (PSO) algorithm is applied to search for the optimal positions of the UAVs for the next time step. Finally, numerical simulations are conducted to verify the validity and effectiveness of the proposals in this paper.","url":"https://pubmed.ncbi.nlm.nih.gov/40942725/","authors":["Chen L","You C","Wang Y","Li X"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.3390/s25175297","addedAt":"2026-08-31T06:40:02.533Z","updatedAt":"2026-08-31T06:40:08.031Z"},{"id":"pmid:40942666","name":"Cooperative Schemes for Joint Latency and Energy Consumption Minimization in UAV-MEC Networks.","source":"pubmed","abstract":"The Internet of Things (IoT) has promoted emerging applications that require massive device collaboration, heavy computation, and stringent latency. Unmanned aerial vehicle (UAV)-assisted mobile edge computing (MEC) systems can provide flexible services for user devices (UDs) with wide coverage. The optimization of both latency and energy consumption remains a critical yet challenging task due to the inherent trade-off between them. Joint association, offloading, and computing resource allocation are essential to achieving satisfying system performance. However, these processes are difficult due to the highly dynamic environment and the exponentially increasing complexity of large-scale networks. To address these challenges, we introduce a carefully designed cost function to balance the latency and the energy consumption, formulate the joint problem into a partially observable Markov decision process, and propose two multi-agent deep-reinforcement-learning-based schemes to tackle the long-term problem. Specifically, the multi-agent proximal policy optimization (MAPPO)-based scheme uses centralized learning and decentralized execution, while the closed-form enhanced multi-armed bandit (CF-MAB)-based scheme decouples association from offloading and computing resource allocation. In both schemes, UDs act as independent agents that learn from environmental interactions and historic decisions, make decision to maximize its individual reward function, and achieve implicit collaboration through the reward mechanism. The numerical results validate the effectiveness and show the superiority of our proposed schemes. The MAPPO-based scheme enables collaborative agent decisions for high performance in complex dynamic environments, while the CF-MAB-based scheme supports independent rapid response decisions.","url":"https://pubmed.ncbi.nlm.nih.gov/40942666/","authors":["Cheng M","He S","Pan Y","Lin M","Zhu WP"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025 Aug 22","doi":"10.3390/s25175234","addedAt":"2026-08-31T06:40:02.533Z","updatedAt":"2026-08-31T06:40:02.533Z"},{"id":"pmid:40942395","name":"Broadband Flexible Metasurface for SAR Imaging Cloaking.","source":"pubmed","abstract":"Most electromagnetic invisibility devices are designed while relying on rigid structures, which have limitations in adapting to complex curved surfaces and dynamic deployment. In contrast, flexible invisibility structures have great application value due to their bendable and easy-to-fit characteristics. In this paper, we propose a flexible metasurface suitable for broadband SAR (Synthetic Aperture Radar) imaging invisibility, which realizes multi-domain joint regulation of electromagnetic waves by designing two subwavelength unit structures with differentiated reflection characteristics and combining array inverse optimization methods. The metasurface employs a sponge-like dielectric substrate and integrates resistive ink to construct a resonant structure, which can suppress electromagnetic scattering through joint phase and amplitude modulation, achieving low detectability of targets in UAV (Unmanned Aerial Vehicle) detection scenarios. Indoor microwave anechoic chamber tests and outdoor UAV-borne SAR experiments verify its stable invisibility performance in a wide frequency band, providing theoretical and experimental support for the application of flexible metasurfaces in dynamic electromagnetic detection countermeasures.","url":"https://pubmed.ncbi.nlm.nih.gov/40942395/","authors":["Yang B","Jin H","Chen C","Zhu P","Zhang S","Zhu R","Zheng B","Lu H"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025 Aug 25","doi":"10.3390/ma18173969","addedAt":"2026-08-31T06:40:02.533Z","updatedAt":"2026-08-31T06:40:02.533Z"},{"id":"pmid:40938113","name":"Development of psychoacoustic prediction models for short-term noise annoyance responses to unmanned aircraft systemsa).","source":"pubmed","abstract":"Unmanned aircraft systems (UAS) are emerging for use in civil applications such as commercial logistics, surveying, agriculture, and maintenance tasks. One challenge raised by this technology is to understand how humans respond to UAS sound, the characteristics of which can be varied and unfamiliar, compared with conventional vehicles. Efforts are under way to facilitate flight path planning and optimisation incorporating noise annoyance prediction models. Coupled with UAS sound emission and propagation models, perception and response could be predicted using acoustic and psychoacoustic metrics found to be associated with subjective evaluation. However, identifying the most effective metrics and models is complicated by the wide array of possible descriptors. In this study, a multi-stage modelling approach was developed. This combined a flexible, non-parametric machine learning technique to identify acoustic and psychoacoustic metrics associated with noise annoyance responses to UAS sound, obtained experimentally within immersive audio scenes. This information was used to develop semi-parametric models to predict responses while addressing cluster-correlation in the data. This technique is contrasted with an alternative multilevel, mixed-effects regression approach to highlight the potential advantages. The prediction models also demonstrate how sound intensity, ambient acoustic environments, sound qualities, and number of flights affect UAS noise annoyance.","url":"https://pubmed.ncbi.nlm.nih.gov/40938113/","authors":["Lotinga MJB","Green MC","Torija AJ"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025 Sep 1","doi":"10.1121/10.0039056","addedAt":"2026-08-31T06:40:02.533Z","updatedAt":"2026-08-31T06:40:02.533Z"},{"id":"pmid:40936356","name":"Thermal drone surveys to detect arboreal fauna: Improving population estimates and threatened species monitoring.","source":"pubmed","abstract":"Sound methods to determine species occurrence and abundance are crucial for successful wildlife management and conservation. When species communities cannot be readily detected using camera traps or acoustic monitoring, ground survey methods such as spotlighting on foot are commonly used. While able to provide precise detection and density estimates, these methods can be laborious and time consuming and are restricted to surveying small areas. Advances in drone technology now allow for the detection of heat signatures of endothermal wildlife using thermal cameras from the sky, which we contrast to traditional ground surveys. We found that drone and ground surveys achieve similar detection probabilities for nocturnal arboreal mammals of southeastern Australia. Drones achieved high detection rates for targeted arboreal wildlife occurrence and consistently recorded more species and individuals than ground-based surveys via spotlighting. Ground surveys often missed specialist species like the endangered southern greater glider (Petauroides volans) when populations had low densities. Drone-derived density estimates for surveyed areas of 100-200 ha were significantly lower than those extrapolated from 10-ha ground survey results. Thermal drone surveys present a promising tool for measuring and monitoring nocturnal arboreal wildlife populations due to their ability to cover larger areas with comparable detection rates to ground surveys. Drone surveys provide comprehensive information on species assemblage, density, and distribution across management compartment-scale survey areas, offering valuable insights into species occurrence and population status. Drones were particularly effective in areas with dense vegetation or that were otherwise inaccessible for ground-based surveys, enhancing the ability to estimate populations, quantify recovery following large-scale disturbances, and to discover previously undocumented populations. Drone-based wildlife survey methods have the potential to reduce uncertainty in compartment-scale population estimates for improved wildlife monitoring and conservation.","url":"https://pubmed.ncbi.nlm.nih.gov/40936356/","authors":["Wagner B","Garnick SW","Ryan MF","Isaac JL","Begg A","Nitschke CR"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025 Sep","doi":"10.1002/eap.70091","addedAt":"2026-08-31T06:40:02.533Z","updatedAt":"2026-08-31T06:40:02.533Z"},{"id":"pmid:40934625","name":"Ultrahigh performance air-coupled transducer based on polyimide aerogel matching layer.","source":"pubmed","abstract":"Air-coupled piezoelectric ultrasonic transducers suffer from severe acoustic impedance mismatch between piezoelectric resonators and air, rendering them nearly ineffective without matching layers. Commercially available matching layer (&#x223c; 1.1 MRayl) would only allow 5&#xa0;% of acoustic energy being transmitted from piezoelectric resonator into air, greatly restricted the applications of air-coupled transducers. We made a parylene C coated polyimide aerogel, which has an extremely low acoustic impedance (0.034 MRayl), low attenuation and high mechanical strength. When using this new material as the matching layer, more than 90&#xa0;% energy can be transmitted from pure piezoelectric ceramic into air. For 1-3 piezoelectric composites, the transducer made of the new matching material produced 537&#xa0;% enhancement compared with that of a transducer made of commercial matching layer. This giant advance in air-coupled transducers due to the new matching layer brought in many application potentials of airborne ultrasound technology, including non-destructive evaluations of devices that could not be merged into liquid, distance ranging and object detections in self-driven cars and unmanned aerial vehicles.","url":"https://pubmed.ncbi.nlm.nih.gov/40934625/","authors":["Lou X","Liu Z","Zhou Q","Cao W"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2026 Feb","doi":"10.1016/j.ultras.2025.107812","addedAt":"2026-08-31T06:40:02.533Z","updatedAt":"2026-08-31T06:40:02.907Z"},{"id":"pmid:40929891","name":"TATrack: Target-oriented adaptive vision transformer for UAV tracking.","source":"pubmed","abstract":"Unmanned Aerial Vehicle (UAV) tracking requires accurate target localization from aerial top-down perspectives while operating under the computational constraints of aerial platforms. Current mainstream UAV trackers, constrained by the limited resources, predominantly employ lightweight Convolutional Neural Network (CNN) extractor, coupled with an appearance-based fusion mechanism. The absence of comprehensive target perception significantly constrains the balance between tracking accuracy and computational efficiency. To address this, we propose a target-oriented adaptive vision transformer for UAV tracking, named TATrack. TATrack utilizes a novel efficient transformer model, TA-ViT, to perform joint feature modeling and interaction under the orientation of the target. Specifically, TA-ViT employs an adaptive scoring suspension mechanism, wherein redundant network layers are bypassed when all token scores meet the suspension criteria, thereby enhancing inference speed. Moreover, positional information is utilized as a spatial-temporal prompt to enhance appearance-matching quality over time. By introducing location priors, we strengthen the visual perception of the target, which improves the target orientation and temporal continuity of the predicted position. Extensive experiments conducted across five UAV tracking benchmarks demonstrate that our method achieves an optimal balance between computational efficiency and tracking accuracy. The code will be available publicly.","url":"https://pubmed.ncbi.nlm.nih.gov/40929891/","authors":["Zhang W","Xu T","Xie F","Wu J","Yang W"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2026 Jan","doi":"10.1016/j.neunet.2025.108067","addedAt":"2026-08-31T06:40:02.533Z","updatedAt":"2026-08-31T06:40:02.907Z"},{"id":"pmid:40928663","name":"Evolution of mass loss at Alamkouh Glacier in Iran using multi-temporal high-resolution DEMs between 2010 and 2023.","source":"pubmed","abstract":"Small glaciers situated in high mountainous areas are experiencing notable declines, characterized by unprecedented rates of ice loss in recent years. This study investigates the recent changes in surface elevation and mass loss occurring between 2010 and 2023 within the Alamkouh Glacier over three subperiods, one of the biggest glaciers in Iran and the Middle East. These assessments are derived from a combination of high-resolution LiDAR data in 2010 (with a spatial resolution of 20 cm) and multi-temporal surveys conducted using unmanned aerial vehicles (UAVs) in 2018, 2020, and 2023 (with spatial resolutions varied from 10 to 20 cm). The outcomes of this analysis demonstrate that the Alamkouh Glacier experienced an average mass balance of approximately&#x2009;-&#x2009;0.20&#x2009;&#xb1;&#x2009;0.04 m w.e.a -1 from 2010 to 2023. These findings highlight that the Alamkouh Glacier exhibits a relatively moderate rate of mass loss when compared to many other glaciers around the world, as well as to the global average rate of glacier mass loss, which is approximately&#x2009;-&#x2009;0.5 m w.e.a -1 . The mean mass loss for the specific periods of 2010-2018, 2018-2020, and 2020-2023 was&#x2009;-&#x2009;0.18&#x2009;&#xb1;&#x2009;0.03,&#x2009;-&#x2009;0.24&#x2009;&#xb1;&#x2009;0.04, and&#x2009;-&#x2009;0.25&#x2009;&#xb1;&#x2009;0.04 m w.e.a -1 , respectively. These findings suggest that, although the mass loss of the Alamkouh Glacier remained relatively constant over the entire study period, there was a slight acceleration in mass loss during the latter part of the study. The elevation change analysis reveals extensive heterogeneous patterns of glacier elevation change where the maximum ice loss was observed in areas with supraglacial ponds and exposed ice cliffs, with mean ice thinning rates of approximately&#x2009;-&#x2009;1.09&#x2009;&#xb1;&#x2009;0.35 and&#x2009;-&#x2009;0.73&#x2009;&#xb1;&#x2009;0.25 m/a, respectively. In contrast, the mean thinning rates for debris-free and debris-covered areas were around&#x2009;-&#x2009;0.64&#x2009;&#xb1;&#x2009;0.20 and&#x2009;-&#x2009;0.20&#x2009;&#xb1;&#x2009;0.24 m/a, respectively. This variation underscores the significant impact of different supraglacial features on the glacier's overall mass balance, highlighting the complex dynamics of glacier change in response to environmental factors. Our findings underscore the importance of continuous monitoring and detailed modeling to understand the drivers of glacier change and predict future trends, especially using high-resolution UAV data.","url":"https://pubmed.ncbi.nlm.nih.gov/40928663/","authors":["Karimi N","Sheshangosht S"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025 Sep 10","doi":"10.1007/s10661-025-14442-3","addedAt":"2026-08-31T06:40:02.533Z","updatedAt":"2026-08-31T06:40:02.533Z"},{"id":"pmid:40926294","name":"Drone observations reveal white shark (Carcharodon carcharias) dorsal fins are highly flexible and possible investigatory structures.","source":"pubmed","abstract":"Drones are becoming increasingly useful in their ability to observe wildlife. They have been especially useful in documenting marine animals such as sharks. Here we present novel aerial drone observations of a previously unknown dorsal-fin behaviour in white sharks (Carcharodon carcharias). We found that white sharks might investigate surface objects by rotating their first dorsal fin on its axis towards the object. Our videos suggest that the dorsal fin in white sharks may have additional capabilities beyond being a stabilizing appendage.","url":"https://pubmed.ncbi.nlm.nih.gov/40926294/","authors":["Gauna C","Sternes PC"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025 Dec","doi":"10.1111/jfb.70210","addedAt":"2026-08-31T06:40:02.533Z","updatedAt":"2026-08-31T06:40:02.533Z"},{"id":"pmid:40922528","name":"Solubility-pKa Coupling Effect Tailored Nanoporous Nylon Aerogel Family with Multiple Thermomechanical Processes.","source":"pubmed","abstract":"Despite significant advancements in aerogels science, the fabrication of high-performance aerogels with their plastic processability remains unexplored owing to their inherent trade-off between skeletal rigidity and transformable processability. Herein, a universal solubility-pKa coupling-effect to engineer high-performance thermoplastic nylon aerogel family with excellent thermomechanical processing performance is proposed. By modulating solubility parameters and acid dissociation constants in nylon-solvent systems, it is precisely control crystallization to assemble interlaced 1D nanofiber skeletons, yielding nylon aerogels that integrate a high specific surface area (226&#xa0;m 2 &#xa0;g -1 ), exceptional compressive modulus (12.6&#xa0;MPa), and ultralow thermal conductivity (0.034&#xa0;W&#xa0;m -1 &#xa0;K -1 ). Notably, beyond achieving performance comparable to aramid and other high-performance aerogels, these nylon aerogels uniquely incorporate thermoplastic properties enabling multiple thermomechanical processing for aerogel functionalization, including protective barrier via thermal encapsulating, reassembly of aerogel unmanned aerial vehicle through thermal cutting and welding, and biomimetic hydrophobic surfaces with lotus and petal effects through precise thermal imprinting. Surprisingly, thermomechanical processing also induces fluorescence of aerogels, suggesting applications in thermal-recording, anti-counterfeiting, etc. This research overcomes the critical skeletal rigidity-transformable processability trade-off in aerogels, enabling novel manufacturing approaches and broader engineering applications.","url":"https://pubmed.ncbi.nlm.nih.gov/40922528/","authors":["Chen J","Li L","Zhang A","Zhang X"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2026 Jan","doi":"10.1002/adma.202510031","addedAt":"2026-08-31T06:40:02.533Z","updatedAt":"2026-08-31T06:40:02.907Z"},{"id":"pmid:40918974","name":"YOLO-Pika: a lightweight improved model of YOLOv8n incorporating Fusion_Block and multi-scale fusion FPN and its application in the precise detection of plateau pikas.","source":"pubmed","abstract":"The plateau pika ( Ochotona curzoniae ) is a keystone species on the Qinghai-Tibet Plateau, and its population density-typically inferred from burrow counts-requires rapid, low-cost monitoring. We propose YOLO-Pika, a lightweight detector built on YOLOv8n that integrates (1) a Fusion_Block into the backbone, leveraging high-dimensional mapping and fine-grained gating to enhance feature representation with negligible computational overhead, and (2) an MS_Fusion_FPN composed of multiple MSEI modules for multi-scale frequency-domain fusion and edge enhancement. On a plateau pika burrow dataset, YOLO-Pika increases mAP50 by 3.4 points and mAP50-95 by 5.0 points while reducing parameters by 22.7% and FLOPs by 0.01%; AP improves for small, medium, and large targets. On a public Brandt's vole hole dataset, it achieves a further 4.9-point gain in mAP50 and reduces false detections from localization errors, redundancy, and background noise by 30-50%. Compared with five state-of-the-art lightweight detectors (including YOLOv10), YOLO-Pika attains the highest detection accuracy with the fewest parameters. These results show that YOLO-Pika balances real-time performance, detection precision, and deployment feasibility, offering a practical, scalable solution for rodent burrow detection and alpine grassland damage assessment with strong cross-regional generalization.","url":"https://pubmed.ncbi.nlm.nih.gov/40918974/","authors":["Liu Y","Zhao J","Xu C","Hou Y","Jiang Y"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.3389/fpls.2025.1607492","addedAt":"2026-08-31T06:40:02.533Z","updatedAt":"2026-08-31T06:40:02.533Z"},{"id":"pmid:40911777","name":"Investigating spatiotemporal traffic dynamics toward conflict risk levels using trajectory data in heterogeneous traffic conditions.","source":"pubmed","abstract":"This study aimed to identify dynamic spatiotemporal traffic factors influencing conflict risk levels on National Highways under heterogeneous traffic conditions in India. The research addresses gaps by capturing vehicle interactions using high-resolution UAV-based trajectory data and proposes a novel two-stage methodology for real-time conflict risk evaluation, moving beyond traditional binary risk classifications to a four-level framework (High, Moderate, Low, No-Risk).","url":"https://pubmed.ncbi.nlm.nih.gov/40911777/","authors":["Jain V","Dhamaniya A"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.1080/15389588.2025.2541269","addedAt":"2026-08-31T06:40:02.533Z","updatedAt":"2026-08-31T06:40:02.907Z"},{"id":"pmid:40910117","name":"Weaponizing cognitive bias in autonomous systems: a framework for black-box inference attacks.","source":"pubmed","abstract":"Autonomous systems operating in high-dimensional environments increasingly rely on prioritization heuristics to allocate attention and assess risk, yet these mechanisms can introduce cognitive biases such as salience, spatial framing, and temporal familiarity that influence decision-making without altering the input or accessing internal states. This study presents Priority Inversion via Operational Reasoning (PRIOR), a black-box, non-perturbative diagnostic framework that employs structurally biased but semantically neutral scenario cues to probe inference-level vulnerabilities without modifying pixel-level, statistical, or surface semantic properties. Given the limited accessibility of embodied vision-based systems, we evaluate PRIOR using large language models (LLMs) as abstract reasoning proxies to simulate cognitive prioritization in constrained textual surveillance scenarios inspired by Unmanned Aerial Vehicle (UAV) operations. Controlled experiments demonstrate that minimal structural cues can consistently induce priority inversions across multiple models, and joint analysis of model justifications and confidence estimates reveals systematic distortions in inferred threat relevance even when inputs are symmetrical. These findings expose the fragility of inference-level reasoning in black-box systems and motivate the development of evaluation strategies that extend beyond output correctness to interrogate internal prioritization logic, with implications for dynamic, embodied, and visually grounded agents in real-world deployments.","url":"https://pubmed.ncbi.nlm.nih.gov/40910117/","authors":["Chu S","Chen Y"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.3389/frai.2025.1623573","addedAt":"2026-08-31T06:40:02.533Z","updatedAt":"2026-08-31T06:40:02.533Z"},{"id":"pmid:40906834","name":"Can the global drone revolution make agriculture more sustainable?","source":"pubmed","abstract":"Rapid growth in drone use is upending expectations but also inducing trade-offs.","url":"https://pubmed.ncbi.nlm.nih.gov/40906834/","authors":["Belton B","Baldiga L","Justice S","Minten B","Narayanan S","Reardon T"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025 Sep 4","doi":"10.1126/science.ady1791","addedAt":"2026-08-31T06:40:02.533Z","updatedAt":"2026-08-31T06:40:02.533Z"},{"id":"pmid:40899658","name":"Laser-Induced 3D Graphene Enabled Polymer Composites with Improved Mechanical and Electrical Properties Toward Multifunctional Performance.","source":"pubmed","abstract":"Conductive graphene-based composites are attracting substantial interest due to their excellent mechanical and electrical properties for potential applications in electronics. Typically, such composites are fabricated by infiltrating the 3D graphene framework with the polymer matrix. However, the production of 3D graphene foams is limited by the challenges in preparing graphene dispersions, while 3D printing presents a significant breakthrough in the fabrication of desired 3D graphene-based structures. Here, the utilization of the 3D printing technique driven by laser-induced graphene (LIG) and a conventional penetration process for assembling graphene-based conductive polymer composites is described. The synergistic integration endowed the proposed 3D-LIG/epoxy composites with an electrical conductivity of 3.54&#xa0;S&#xa0;m -1 in through-plane, and a tensile strength of &#x2248;5.4&#xa0;MPa by a 7606% improvement with a high specific strength of 6.8&#xa0;&#xd7;&#xa0;10 3 &#xa0;(N m)&#xa0;kg -1 . Meanwhile, the flexible composites exhibited an outstanding ductility reaching a 230% tensile-failure strain and a 50% high linear elastic strain. The prepared 3D-LIG/polymer composites thus demonstrated the functionalized behaviors for applications in de-icing, microwave absorption, and flexible sensors.","url":"https://pubmed.ncbi.nlm.nih.gov/40899658/","authors":["Liu F","Luo S","Li J","Wang Z","Wang X","Hao W","Wang Y"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025 Nov","doi":"10.1002/advs.202509039","addedAt":"2026-08-31T06:40:02.533Z","updatedAt":"2026-08-31T06:40:02.533Z"},{"id":"pmid:40892109","name":"On-Site and Remote Sensing Assessment of Water Pollution in the Sokolov Coal Basin, Czech Republic.","source":"pubmed","abstract":"Effective water pollution assessment is essential for promoting sustainable development, especially in mining regions, where water resources are frequently degraded. Unmanned Aerial Vehicles (UAVs) and satellite imagery offer valuable tools for monitoring and evaluating surface water quality. This study aimed to compare the results of on-site water sampling with data obtained from multispectral images captured by UAVs and Sentinel-2 satellites, while also identifying the limitations of these methods. A total of 54 water samples were collected from two locations in the Sokolov coal basin in the Czech Republic during two field campaigns, in spring and autumn 2020. Concurrently, multispectral images were taken on-site using UAVs, and satellite images from Sentinel-2 satellites were also analyzed. The water samples were examined using atomic spectrometry to measure concentrations of iron, manganese, and sulfate ions. Statistically significant correlations were observed between sulfate (SO 4 2- ) concentrations and all spectral bands of the Parrot Sequoia multispectral drone camera (positive correlation), as well as between total nitrogen (TN) and the B1 and B2 spectra (green and red) (negative correlation). This study has confirmed the effectiveness of remote sensing methods as faster and more cost-efficient tools for assessing the quality of surface water impacted by open-pit coal mining. UAVs were found to be more suitable for monitoring smaller areas (units of km 2 ) due to their superior spatial resolution compared to satellite imagery, which makes them a valuable resource for detecting water pollution in localized environments.","url":"https://pubmed.ncbi.nlm.nih.gov/40892109/","authors":["Berka M","Hendrychová M","Klouček T","Zikmundová M","Svobodova K"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025 Dec","doi":"10.1007/s00267-025-02252-9","addedAt":"2026-08-31T06:40:02.533Z","updatedAt":"2026-08-31T06:40:02.533Z"},{"id":"pmid:40880437","name":"Hybrid adaptive PID control strategy for UAVs using combined neural networks and fuzzy logic.","source":"pubmed","abstract":"This paper presents a novel hybrid combined neural network and fuzzy logic adaptive proportional, integral, and derivative(NNPID+FPID) control strategy that integrates neural networks and fuzzy logic for optimizing Unmanned Aerial Vehicle(UAV) dynamics by tuning the gains of a PID controller. The proposed approach leverages the strengths of each technique by applying neural networks to fine-tune the y and &#x3c8; states, while fuzzy logic enhances the performance of x, z, &#x3d5;, and &#x3b8; dynamics. A single-layer neural network with 10 hidden neurons is utilized to adjust PID gains for the y and &#x3c8; states using proportional, integral, and derivative errors ([Formula: see text]) as inputs. The weights are updated through a gradient descent algorithm minimizing the mean squared error, with a nonlinear sigmoid activation function ensuring adaptability. Concurrently, fuzzy logic employs heuristic rules to dynamically tune PID gains for the remaining states, based on input errors and their derivatives. Membership functions map inputs to gains to ensure real-time adaptability. The hybrid method outperforms standalone neural network(NNPID) and fuzzy logic(FPID) approaches by significantly improving trajectory tracking performance and overall UAV control efficiency. This work demonstrates the effectiveness of combining neural networks and fuzzy logic to address the multi-dimensional control challenges of UAV systems.","url":"https://pubmed.ncbi.nlm.nih.gov/40880437/","authors":["Madebo NW"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.1371/journal.pone.0331036","addedAt":"2026-08-31T06:40:02.533Z","updatedAt":"2026-08-31T06:40:02.533Z"},{"id":"pmid:40877440","name":"Structure analysis in an octocopter using piezoelectric sensors and machine learning.","source":"pubmed","abstract":"This study presents a novel diagnostic methodology for assessing drive system damage and its propagation in an unmanned aerial vehicle (UAV) using piezoelectric sensors mounted on each arm of the drone. In contrast to existing studies that focus solely on fault localization, this work investigates the spatial propagation of structural responses to localized motor faults under varying operating conditions. By varying the PWM control signal duty cycle on one motor, different degrees of damage (from 20% to 80%) were simulated. Voltage signals were recorded on each arm of the drone to identify damage and to optimize the number and placement of the sensors. Statistical features extracted in both the time and frequency domains were calculated within sliding time windows. These features (e.g., mean, variance, spectral skewness, spectral kurtosis) from voltage time-series were used as input data for machine learning models (e.g., Random Forest and K-Nearest Neighbors), which are widely applied in the diagnostics of rotary systems for binary classification problems (distinguishing between intact and damaged states of varying damage level). The highest classification accuracy was achieved for the arm where the electric motor failure was induced (from 93% to 94% depending on the degree of damage), while the lowest accuracy was obtained for the opposite arm (from 50% to 57% depending on the degree of damage). It was found that diagnostic accuracy increases when frequency-domain features of the signals are used, particularly for the opposite arms. The proposed methodology provides valuable insights into the structural behavior of the drone in both ground and flight conditions, illustrating the propagation of local damage to other components. The results contribute to the development of robust diagnostic techniques for health monitoring and structural reliability assessment of unmanned aerial vehicles (UAVs).","url":"https://pubmed.ncbi.nlm.nih.gov/40877440/","authors":["Koszewnik A","Ambrożkiewicz B","Ołdziej D","Dzienis P","Pieciul M","Syta A","Zaburko J","Bouattour G","Gargasas J","Baziene K"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025 Aug 28","doi":"10.1038/s41598-025-17265-x","addedAt":"2026-08-31T06:40:02.533Z","updatedAt":"2026-08-31T06:40:02.533Z"},{"id":"pmid:40872167","name":"Advances in UAV Remote Sensing for Monitoring Crop Water and Nutrient Status: Modeling Methods, Influencing Factors, and Challenges.","source":"pubmed","abstract":"With the advancement of precision agriculture, Unmanned Aerial Vehicle (UAV)-based remote sensing has been increasingly employed for monitoring crop water and nutrient status due to its high flexibility, fine spatial resolution, and rapid data acquisition capabilities. This review systematically examines recent research progress and key technological pathways in UAV-based remote sensing for crop water and nutrient monitoring. It provides an in-depth analysis of UAV platforms, sensor configurations, and their suitability across diverse agricultural applications. The review also highlights critical data processing steps-including radiometric correction, image stitching, segmentation, and data fusion-and compares three major modeling approaches for parameter inversion: vegetation index-based, data-driven, and physically based methods. Representative application cases across various crops and spatiotemporal scales are summarized. Furthermore, the review explores factors affecting monitoring performance, such as crop growth stages, spatial resolution, illumination and meteorological conditions, and model generalization. Despite significant advancements, current limitations include insufficient sensor versatility, labor-intensive data processing chains, and limited model scalability. Finally, the review outlines future directions, including the integration of edge intelligence, hybrid physical-data modeling, and multi-source, three-dimensional collaborative sensing. This work aims to provide theoretical insights and technical support for advancing UAV-based remote sensing in precision agriculture.","url":"https://pubmed.ncbi.nlm.nih.gov/40872167/","authors":["Yang X","Chen J","Lu X","Liu H","Liu Y","Bai X","Qian L","Zhang Z"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025 Aug 15","doi":"10.3390/plants14162544","addedAt":"2026-08-31T06:40:02.533Z","updatedAt":"2026-08-31T06:40:02.533Z"},{"id":"pmid:40872097","name":"A Detection Approach for Wheat Spike Recognition and Counting Based on UAV Images and Improved Faster R-CNN.","source":"pubmed","abstract":"This study presents an innovative unmanned aerial vehicle (UAV)-based intelligent detection method utilizing an improved Faster Region-based Convolutional Neural Network (Faster R-CNN) architecture to address the inefficiency and inaccuracy inherent in manual wheat spike counting. We systematically collected a high-resolution image dataset (2000 images, 4096 &#xd7; 3072 pixels) covering key growth stages (heading, grain filling, and maturity) of winter wheat ( Triticum aestivum L.) during 2022-2023 using a DJI M300 RTK equipped with multispectral sensors. The dataset encompasses diverse field scenarios under five fertilization treatments (organic-only, organic-inorganic 7:3 and 3:7 ratios, inorganic-only, and no fertilizer) and two irrigation regimes (full and deficit irrigation), ensuring representativeness and generalizability. For model development, we replaced conventional VGG16 with ResNet-50 as the backbone network, incorporating residual connections and channel attention mechanisms to achieve 92.1% mean average precision (mAP) while reducing parameters from 135 M to 77 M (43% decrease). The GFLOPS of the improved model has been reduced from 1.9 to 1.7, an decrease of 10.53%, and the computational efficiency of the model has been improved. Performance tests demonstrated a 15% reduction in missed detection rate compared to YOLOv8 in dense canopies, with spike count regression analysis yielding R 2 = 0.88 ( p &lt; 0.05) against manual measurements and yield prediction errors below 10% for optimal treatments. To validate robustness, we established a dedicated 500-image test set (25% of total data) spanning density gradients (30-80 spikes/m 2 ) and varying illumination conditions, maintaining &gt;85% accuracy even under cloudy weather. Furthermore, by integrating spike recognition with agronomic parameters (e.g., grain weight), we developed a comprehensive yield estimation model achieving 93.5% accuracy under optimal water-fertilizer management (70% ETc irrigation with 3:7 organic-inorganic ratio). This work systematically addresses key technical challenges in automated spike detection through standardized data acquisition, lightweight model design, and field validation, offering significant practical value for smart agriculture development.","url":"https://pubmed.ncbi.nlm.nih.gov/40872097/","authors":["Wang D","Shi L","Yin H","Cheng Y","Liu S","Wu S","Yang G","Dong Q","Ge J","Li Y"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025 Aug 9","doi":"10.3390/plants14162475","addedAt":"2026-08-31T06:40:02.533Z","updatedAt":"2026-08-31T06:40:02.533Z"},{"id":"pmid:40871921","name":"Intelligent Dynamic-Enhanced Compensation for UAV Magnetic Interference.","source":"pubmed","abstract":"Magnetic interference compensation is critical for enhancing the accuracy of unmanned aerial vehicle (UAV) magnetic anomaly detection. To address the constrained compensation performance of the conventional Tolles-Lawson (T-L) model, which stems from insufficient parametric dimensionality, this study proposes a dynamic-enhanced extended compensation model. The novelly introduced attitude angle and attitude angular rate-coupled features expand the parameter set from 18 to 34 terms, significantly enhancing the characterization of the magnetic field. To overcome the limitations of linear regression in modeling the nonlinear relationships inherent in small aeromagnetic datasets, we developed a genetic algorithm-optimized shallow backpropagation neural network (GA-BP). This network establishes high-precision correlations between the extended parameters and magnetic interference noise. Experimental results demonstrated that the proposed model effectively captured the coupling characteristics between dynamic flight attitudes and the interference field, leading to significant gains in key performance metrics. This approach provides novel optimization pathways for anti-interference capabilities in airborne detection systems, offering substantial practical value for enhancing UAV aeromagnetic surveys.","url":"https://pubmed.ncbi.nlm.nih.gov/40871921/","authors":["Chen Z","Yu Z","Liu C","Wu G","Li J","Wang D","Wang Y","Zhang Y"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025 Aug 14","doi":"10.3390/s25165059","addedAt":"2026-08-31T06:40:02.533Z","updatedAt":"2026-08-31T06:40:02.533Z"},{"id":"pmid:40871829","name":"Multi-UAV-Assisted Task Offloading and Trajectory Optimization for Edge Computing via NOMA.","source":"pubmed","abstract":"Unmanned Aerial Vehicles (UAVs) exhibit significant potential in enhancing the wireless communication coverage and service quality of Mobile Edge Computing (MEC) systems due to their superior flexibility and ease of deployment. However, the rapid growth of tasks leads to transmission queuing in edge networks, while the uneven distribution of user nodes and services causes network load imbalance, resulting in increased user waiting delays. To address these issues, we propose a multi-UAV collaborative MEC network model based on Non-Orthogonal Multiple Access (NOMA). In this model, UAVs are endowed with the capability to dynamically offload tasks among one another, thereby fostering a more equitable load distribution across the UAV swarm. Furthermore, the integration of NOMA is strategically employed to alleviating the inherent queuing delays in the communication infrastructure. Considering delay and energy consumption constraints, we formulate a task offloading strategy optimization problem with the objective of minimizing the overall system delay. To solve this problem, we design a delay-optimized offloading strategy based on the Twin Delayed Deep Deterministic Policy Gradient (TD3) algorithm. By jointly optimizing task offloading decisions and UAV flight trajectories, the system delay is significantly reduced. Simulation results show that, compared to traditional approaches, the proposed algorithm achieves a delay reduction of 20.2%, 9.8%, 17.0%, 12.7%, 15.0%, and 11.6% under different scenarios, including varying task volumes, the number of IoT devices, UAV flight speed, flight time, IoT device computing capacity, and UAV computing capability. These results demonstrate the effectiveness of the proposed solution and offloading decisions in reducing the overall system delay.","url":"https://pubmed.ncbi.nlm.nih.gov/40871829/","authors":["Liu J","Hu H","Bai X","Li G","Zhang X","Zhou H","Li H"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.3390/s25164965","addedAt":"2026-08-31T06:40:02.533Z","updatedAt":"2026-08-31T06:40:09.764Z"},{"id":"pmid:40871808","name":"Edge-Based Real-Time Fault Detection in UAV Systems via B-Spline Telemetry Reconstruction and Lightweight Hybrid AI.","source":"pubmed","abstract":"Unmanned aerial vehicles (UAVs) increasingly demand robust onboard diagnostic frameworks to ensure safe operation under irregular telemetry and mission-critical conditions. This paper presents a real-time fault detection framework for unmanned aerial vehicles (UAVs), optimized for deployment on edge devices and designed to handle irregular, nonuniform telemetry. The system reconstructs raw sensor data using compactly supported B-spline interpolation, ensuring stable recovery of flight dynamics under jitter, dropouts, and asynchronous sampling. A lightweight hybrid anomaly detection module-combining a Long Short-Term Memory (LSTM) autoencoder with an Isolation Forest-analyzes both temporal patterns and statistical deviations across reconstructed signals. The full pipeline operates entirely onboard embedded platforms such as the Raspberry Pi 4 and NVIDIA Jetson Nano, with end-to-end inference latency under 50 milliseconds. Experiments using real PX4 UAV flight logs and synthetic fault injection demonstrate a detection accuracy of 93.6% and strong resilience to telemetry disruptions. These results support the feasibility of autonomous, sensor-based health monitoring in UAV systems and broader real-time cyber-physical applications.","url":"https://pubmed.ncbi.nlm.nih.gov/40871808/","authors":["Reis MJCS","Reis AJD"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025 Aug 10","doi":"10.3390/s25164944","addedAt":"2026-08-31T06:40:02.533Z","updatedAt":"2026-08-31T06:40:02.533Z"},{"id":"pmid:40871754","name":"YOLOv5s-TC: An Improved Intelligent Model for Insulator Fault Detection Based on YOLOv5s.","source":"pubmed","abstract":"Insulators play a pivotal role in power grid infrastructure, offering indispensable electrical insulation and mechanical support. Precise and efficient detection of insulator faults is of paramount importance for safeguarding grid reliability and ensuring operational safety. With the rapid advancements in UAV (unmanned aerial vehicle) technology and deep learning, there has been a notable transition from traditional manual inspections to automated UAV-based detection systems. To further enhance detection accuracy, this study conducts a series of systematic improvements to the YOLOv5s model and proposes an advanced intelligent insulator detection model, namely YOLOv5s-TC. Firstly, this new model replaces the C3 (Cross Stage Partial Bottleneck with 3 convolutions) module with Bottleneck Transformers to enhance feature learning ability. Secondly, the CBAM (Convolutional Block Attention Module) is introduced to make the model focus more on the key features of the images, thus improving the target localization ability. Finally, the improved loss function named OSIoU is adopted to further enhance detection accuracy. Comparative experiments demonstrate that YOLOv5s-TC achieves significant performance gains, with mean average precision improvements of 4.4%, 24.5%, and 13.9% over the original YOLOv5s, Faster R-CNN, and SSD models, respectively. The results indicate that YOLOv5s-TC offers superior detection performance and greater reliability for practical power grid inspection applications.","url":"https://pubmed.ncbi.nlm.nih.gov/40871754/","authors":["Yin Y","Duan Y","Wang X","Han S","Zhou C"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025 Aug 8","doi":"10.3390/s25164893","addedAt":"2026-08-31T06:40:02.533Z","updatedAt":"2026-08-31T06:40:02.533Z"},{"id":"pmid:40870293","name":"A Kalman Filter-Based Localization Calibration Method Optimized by Reinforcement Learning and Information Matrix Fusion.","source":"pubmed","abstract":"To address the degradation in localization accuracy caused by insufficient robustness of filter parameters and inefficient multi-trajectory data fusion in dynamic environments, this paper proposes a Kalman filter-based localization calibration method optimized by reinforcement learning and information matrix fusion (RL-IMKF). An actor-critic reinforcement learning network is designed to adaptively adjust the state covariance matrix, enhancing the Kalman filter's adaptability to environmental changes. Meanwhile, a multi-trajectory information matrix fusion strategy is introduced, which aggregates multiple trajectories in the information domain via weighted inverse covariance matrices to suppress error propagation and improve system consistency. Experiments using both simulated and real-world sensor data demonstrate that the proposed method outperforms traditional extended Kalman filter approaches in terms of localization accuracy and stability, providing a novel solution for cooperative localization calibration of unmanned aerial vehicle (UAV) swarms in dynamic environments.","url":"https://pubmed.ncbi.nlm.nih.gov/40870293/","authors":["Huang Z","Xu Q","Sun M","Zhu X"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025 Aug 1","doi":"10.3390/e27080821","addedAt":"2026-08-31T06:40:02.533Z","updatedAt":"2026-08-31T06:40:02.533Z"},{"id":"pmid:40870283","name":"Deep Reinforcement Learning-Based Resource Allocation for UAV-GAP Downlink Cooperative NOMA in IIoT Systems.","source":"pubmed","abstract":"This paper studies deep reinforcement learning (DRL)-based joint resource allocation and three-dimensional (3D) trajectory optimization for unmanned aerial vehicle (UAV)-ground access point (GAP) cooperative non-orthogonal multiple access (NOMA) communication in Industrial Internet of Things (IIoT) systems. Cooperative and non-cooperative users adopt different signal transmission strategies to meet diverse, task-oriented, quality-of-service requirements. Specifically, the DRL framework based on the Soft Actor-Critic algorithm is proposed to jointly optimize user scheduling, power allocation, and UAV trajectory in continuous action spaces. Closed-form power allocation and maximum weight bipartite matching are integrated to enable efficient user pairing and resource management. Simulation results show that the proposed scheme significantly enhances system performance in terms of throughput, spectral efficiency, and interference management, while enabling robustness against channel uncertainties in dynamic IIoT environments. The findings indicate that combining model-free reinforcement learning with conventional optimization provides a viable solution for adaptive resource management in dynamic UAV-GAP cooperative communication scenarios.","url":"https://pubmed.ncbi.nlm.nih.gov/40870283/","authors":["Huang Y","Su J","Lu X","Huang S","Zhu H","Zeng H"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025 Jul 29","doi":"10.3390/e27080811","addedAt":"2026-08-31T06:40:02.533Z","updatedAt":"2026-08-31T06:40:02.533Z"},{"id":"pmid:40874089","name":"UAV-based multitier feature selection improves nitrogen content estimation in arid-region cotton.","source":"pubmed","abstract":"Nitrogen plays a pivotal role in determining cotton yield and fiber quality. Nevertheless, because high-dimensional remote-sensing data are inherently complex and redundant, accurately estimating cotton plant nitrogen concentration (PNC) from unmanned aerial vehicle (UAV) imagery remains problematic, which in turn constrains both model precision and transferability.","url":"https://pubmed.ncbi.nlm.nih.gov/40874089/","authors":["Li F","Zhao C","Ma Y","Lv N","Guo Y"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.3389/fpls.2025.1639101","addedAt":"2026-08-31T06:40:02.533Z","updatedAt":"2026-08-31T06:40:02.533Z"},{"id":"pmid:40870275","name":"Research on Computation Offloading and Resource Allocation Strategy Based on MADDPG for Integrated Space-Air-Marine Network.","source":"pubmed","abstract":"This paper investigates the problem of computation offloading and resource allocation in an integrated space-air-sea network based on unmanned aerial vehicle (UAV) and low Earth orbit (LEO) satellites supporting Maritime Internet of Things (M-IoT) devices. Considering the complex, dynamic environment comprising M-IoT devices, UAVs and LEO satellites, traditional optimization methods encounter significant limitations due to non-convexity and the combinatorial explosion in possible solutions. A multi-agent deep deterministic policy gradient (MADDPG)-based optimization algorithm is proposed to address these challenges. This algorithm is designed to minimize the total system costs, balancing energy consumption and latency through partial task offloading within a cloud-edge-device collaborative mobile edge computing (MEC) system. A comprehensive system model is proposed, with the problem formulated as a partially observable Markov decision process (POMDP) that integrates association control, power control, computing resource allocation, and task distribution. Each M-IoT device and UAV acts as an intelligent agent, collaboratively learning the optimal offloading strategies through a centralized training and decentralized execution framework inherent in the MADDPG. The numerical simulations validate the effectiveness of the proposed MADDPG-based approach, which demonstrates rapid convergence and significantly outperforms baseline methods, and indicate that the proposed MADDPG-based algorithm reduces the total system cost by 15-60% specifically.","url":"https://pubmed.ncbi.nlm.nih.gov/40870275/","authors":["Gao H"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025 Jul 28","doi":"10.3390/e27080803","addedAt":"2026-08-31T06:40:02.533Z","updatedAt":"2026-08-31T06:40:02.533Z"},{"id":"pmid:40870260","name":"Three-Dimensional Non-Stationary MIMO Channel Modeling for UAV-Based Terahertz Wireless Communication Systems.","source":"pubmed","abstract":"Terahertz (THz) wireless communications can support ultra-high data rates and secure wireless links with miniaturized devices for unmanned aerial vehicle (UAV) communications. In this paper, a three-dimensional (3D) non-stationary geometry-based stochastic channel model (GSCM) is proposed for multiple-input multiple-output (MIMO) communication links between the UAVs in the THz band. The proposed channel model considers not only the 3D scattering and reflection scenarios (i.e., reflection and scattering fading) but also the atmospheric molecule absorption attenuation, arbitrary 3D trajectory, and antenna arrays of both terminals. In addition, the statistical properties of the proposed GSCM (i.e., the time auto-correlation function (T-ACF), space cross-correlation function (S-CCF), and Doppler power spectrum density (DPSD)) are derived and analyzed under several important UAV-related parameters and different carrier frequencies, including millimeter wave (mmWave) and THz bands. Finally, the good agreement between the simulated results and corresponding theoretical ones demonstrates the correctness of the proposed GSCM, and some useful observations are provided for the system design and performance evaluation of UAV-based air-to-air (A2A) THz-MIMO wireless communications.","url":"https://pubmed.ncbi.nlm.nih.gov/40870260/","authors":["Zhang K","Li Y","Wang X","Yang Z","Zhang F","Wang K","Zhao Z","Wang Y"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025 Jul 25","doi":"10.3390/e27080788","addedAt":"2026-08-31T06:40:02.533Z","updatedAt":"2026-08-31T06:40:02.533Z"},{"id":"pmid:40862924","name":"Three-Dimensional Path Planning for UAV Based on Multi-Strategy Dream Optimization Algorithm.","source":"pubmed","abstract":"The multi-strategy optimized dream optimization algorithm (MSDOA) is proposed to address the challenges of inadequate search capability, slow convergence, and susceptibility to local optima in intelligent optimization algorithms applied to UAV three-dimensional path planning, aiming to enhance the global search efficiency and accuracy of UAV path planning algorithms in 3D environments. First, the algorithm utilizes Bernoulli chaotic mapping for population initialization to widen individual search ranges and enhance population diversity. Subsequently, an adaptive perturbation mechanism is incorporated during the exploration phase along with a lens imaging reverse learning strategy to update the population, thereby improving the exploration ability and accelerating convergence while mitigating premature convergence. Lastly, an Adaptive Individual-level Mixed Strategy (AIMS) is developed to conduct a more flexible search process and enhance the algorithm's global search capability. The performance of the algorithm is evaluated through simulation experiments using the CEC2017 benchmark test functions. The results indicate that the proposed algorithm achieves superior optimization accuracy, faster convergence speed, and enhanced robustness compared to other swarm intelligence algorithms. Specifically, MSDOA ranks first on 28 out of 29 benchmark functions in the CEC2017 test suite, demonstrating its outstanding global search capability and conver-gence performance. Furthermore, UAV path planning simulation experiments conducted across multiple scenario models show that MSDOA exhibits stronger adaptability to complex three-dimensional environments. In the most challenging scenario, compared to the standard DOA, MSDOA reduces the best cost function fitness by 9% and decreases the average cost function fitness by 12%, thereby generating more efficient, smoother, and higher-quality flight paths.","url":"https://pubmed.ncbi.nlm.nih.gov/40862924/","authors":["Yang X","Zhao S","Gao W","Li P","Feng Z","Li L","Jia T","Wang X"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.3390/biomimetics10080551","addedAt":"2026-08-31T06:40:02.533Z","updatedAt":"2026-08-31T06:40:09.764Z"},{"id":"pmid:40862872","name":"EAB-BES: A Global Optimization Approach for Efficient UAV Path Planning in High-Density Urban Environments.","source":"pubmed","abstract":"This paper presents a multi-strategy enhanced bald eagle search algorithm (EAB-BES) for 3D UAV path planning in urban environments. EAB-BES addresses key limitations of the traditional bald eagle search (BES) algorithm, including slow convergence, susceptibility to local optima, and poor adaptability in complex urban scenarios. The algorithm enhances solution space exploration through elite opposition-based learning, balances global search and local exploitation via an adaptive weight mechanism, and refines local search directions using block-based elite-guided differential mutation. These innovations significantly improve BES's convergence speed, path accuracy, and adaptability to urban constraints. To validate its effectiveness, six high-density urban environments with varied obstacles were used for comparative experiments against nine advanced algorithms. The results demonstrate that EAB-BES achieves the fastest convergence speed and lowest stable fitness values and generates the shortest, smoothest collision-free 3D paths. Statistical tests and box plot analysis further confirm its superior performance in multiple performance metrics. EAB-BES has greater competitiveness compared with the comparative algorithms and can provide an efficient, reliable and robust solution for UAV autonomous navigation in complex urban environments.","url":"https://pubmed.ncbi.nlm.nih.gov/40862872/","authors":["Zhang Y","Xiao W","Yin S"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025 Jul 31","doi":"10.3390/biomimetics10080499","addedAt":"2026-08-31T06:40:02.533Z","updatedAt":"2026-08-31T06:40:02.533Z"},{"id":"pmid:40857329","name":"Covert communication performance evaluation in UAV-assisted rate-splitting multiple access systems.","source":"pubmed","abstract":"In this paper, we investigate using rate-splitting multiple access (RSMA) to facilitate covert communication in a multi-user unmanned aerial vehicle (UAV) downlink communication network that is being monitored by a warden (Willie). We establish a comprehensive analytical framework and derive closed-form expressions for key performance metrics under Nakagami-m fading channels. Specifically, we analyze the detection error probability (DEP) at Willie to quantify system covertness, in addition to outage probability (OP) and ergodic rate (ER) experienced by legitimate users, along with asymptotic analysis in the high signal-to-noise ratio (SNR) region. Furthermore, we propose an efficient alternating optimization algorithm to determine the optimal static position of the UAV that maximizes system covertness. Numerical simulations support the theoretical results derived, present the impact of various system parameters, and provide a performance comparison with non-orthogonal multiple access (NOMA). Results indicate that RSMA offers significant covertness gains over the NOMA scheme.","url":"https://pubmed.ncbi.nlm.nih.gov/40857329/","authors":["Nhu NH","Bao LC","Minh BV","Tran M","Sang NQ"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.1371/journal.pone.0331013","addedAt":"2026-08-31T06:40:02.533Z","updatedAt":"2026-08-31T06:40:02.533Z"},{"id":"pmid:40849570","name":"Hybrid golden Jackal and moth flame optimization algorithm based coverage path planning in heterogeneous UAV networks.","source":"pubmed","abstract":"Coverage Path Planning is an important strategy used mainly in junction with the unmanned aerial vehicles (UAVs) such that it can cover the regions of the target with minimized energy consumptions. This coverage path planning specifically with heterogeneous UAVs despite varying capabilities concentrate on the process of flight paths optimization when is employed to cover a target region. In this paper, a coverage path planning strategy using hybrid Golden Jackal and moth flame optimization algorithm (HGJMFOA) is proposed for estimating superior optimal paths that supports the UAVs towards the process of comprehensively covering the generated regions with efficacy. At the initial phase, the regions are generated randomly and the models of UAVs which is formulated using a linear programming model is included for identifying the best point-to-point flight path for each individual UAVs. Then it adopted the merits of HGJMFOA for exploring and exploiting the feasible paths from the source to the destination from which optimal shortest path can be determined with reduced path flight time. It handled the challenges involved during the process of achieving coverage path planning by establishing cooperation between diversified UAVs such that optimal coverage, covering sensor range and superior flight performance is achieved during the application. The simulation experiments of the proposed HGJMFOA approach confirmed minimized task completion time by 21.34%, deviation ratio by 24.56%. and execution time by 34.19%, with randomly generated regions organized for performance evaluation.","url":"https://pubmed.ncbi.nlm.nih.gov/40849570/","authors":["Karthik K","Balasubramanian C","Praveen R"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.1038/s41598-025-15345-6","addedAt":"2026-08-31T06:40:02.533Z","updatedAt":"2026-08-31T06:40:09.763Z"},{"id":"pmid:40841734","name":"Detection of weeds in teff crops using deep learning and UAV imagery for precision herbicide application.","source":"pubmed","abstract":"In Ethiopia, Teff is a vital staple crop, yet its productivity is significantly challenges due to inefficient weed and fertilizer management, threatening food security. Traditional weed control methods rely on manual labor and the indiscriminate application of herbicides, resulting in inaccurate targeting, inefficient distribution, excessive labor, and reduced yields. Non-selective weed management often leads to herbicide misuse, compounded by the difficulty in distinguishing Teff from visually similar weeds, particularly on large farms. This study introduces an optimized deep learning model for weed detection in Teff fields, enabling selective and efficient herbicide application through unmanned aerial vehicles (UAVs). A dataset of 1308 high-resolution drone-captured images was collected across various growth stages and weather conditions from the University of Gondar Agricultural Research Farm and surrounding farms. Key shape-based features such as aspect ratio (AR) and solidity were utilized to enhance model performance. Further, we applied data augmentations at different ratios of the original dataset and experimented with various optimizers to enhance the model's adaptabliy to different data characteristics and minimize overfitting problems. Deep learning models, such as MobileNetV2, InceptionResNetV2, DenseNet201, VGG16, Resnet50, Fast R-CNN, and YOLOv8, were evaluated with and without fine-tuning. Among the models, fine-tuned MobileNetV2 achieved the highest accuracy (96.40%), demonstrating its potential for practical implementation in UAV-assisted precision agriculture. This work highlights the transformative role of AI-driven solutions in enhancing weed management and improving Teff crop productivity.","url":"https://pubmed.ncbi.nlm.nih.gov/40841734/","authors":["Kebede AS","Muluneh TW","Adege AB"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025 Aug 21","doi":"10.1038/s41598-025-15380-3","addedAt":"2026-08-31T06:40:02.533Z","updatedAt":"2026-08-31T06:40:02.533Z"},{"id":"pmid:40849598","name":"High-resolution vertical profiling of aerosols microphysical and optical properties during the 2024 LEADER UAV campaign in Nadarzyce (Poland).","source":"pubmed","abstract":"This study aims to highlight the benefits of unmanned aerial vehicle (UAV) system in atmospheric aerosol research, particularly for obtaining information on the vertical variability of aerosol single-scattering properties in the lower troposphere. The results discussed in this paper were collected during the spring 2024 campaign at Nadarzyce Airport (Northwestern Poland). The UAV was equipped with miniaturized instruments (a low-cost SPS30 aerosol counter and an RS41 radiosonde) to measure aerosol single-scattering properties and atmospheric thermodynamic parameters. Vertical UAV profiles, lidar observations, and ground-based in-situ measurements were collected during a mineral dust event and under background conditions. Dust particles were detected between 1.5 and 3.0&#xa0;km, where the effective radius and scattering &#xc5;ngstr&#xf6;m exponent (SAE) remained almost constant, at approximately 0.4&#xa0;&#xb5;m and -0.2, respectively, based on the SPS30 sensor. The aerosol scattering coefficient (ASC) in the dust layer fluctuated between 40 and 100&#xa0;Mm&#x207b; 1 (at 525&#xa0;nm), showing similar variability to the aerosol extinction coefficient (AEC) retrieved from lidar observations. The estimated scattering optical depth of the dust layer was 0.109&#x2009;&#xb1;&#x2009;0.018 (at 525&#xa0;nm). In contrast, non-dust particles in the planetary boundary layer (PBL) exhibited a significantly lower effective radius (approximately 0.10&#xa0;&#xb5;m) and higher SAE (1.8-1.9). This methodology can detect aerosols during long-range transport and extend lidar signal measurements to the ground level.","url":"https://pubmed.ncbi.nlm.nih.gov/40849598/","authors":["Markowicz KM","Chiliński MT","Panfil W","Nurowska K","Moczulski W","Makuch P","Acedański S","Florczyk GM","Kozuba J"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025 Jul","doi":"10.1007/s11356-025-36887-2","addedAt":"2026-08-31T06:40:02.533Z","updatedAt":"2026-08-31T06:40:02.533Z"},{"id":"pmid:40846259","name":"Surveillance of urban river environment by quantifying distributions of water quality parameters using hyperspectral remote sensing-based ripple propagation graph network.","source":"pubmed","abstract":"Efficient inspection of variation in water quality is of paramount importance to environmental protection and management of urban rivers. With remote sensing techniques prevailing in environmental monitoring in recent years, unmanned aerial vehicle (UAV) remote sensing has been applied to retrieve water quality parameters (WQPs) involving hyperspectral data and posed a great opportunity for flexible and effective water quality monitoring. However, current methods usually entailed more cost-prohibitive water samples to predict a few WQPs without a unified framework. In this study, a hybrid feedback ripple net (HF-RN) was proposed to effectively retrieve concentrations of WQPs including total phosphorus (TP), total nitrogen (TN), chemical oxygen demand (COD), biochemical oxygen demand (BOD), chlorophyll a (Chl-a), and total suspended solids (TSS) from UAV hyperspectral data. HF-RN integrated deep learning, spatial distribution pattern analysis, and probabilistic statistical analysis, which quantified the spatial distribution of WQPs concentrations. Additionally, HF-RN reduced the quantity demand for water samples as training samples and dependence of prediction accuracy and stability on spatial continuity of water sampling. HF-RN correlated sampled region and unsampled region through information sharing and delivery in ripple propagation graph network, enhancing their spatial relatedness and continuity of predicted WQPs. Moreover, the proposed method has been adopted in practice, applied to monitoring water quality of Shiqi River, Zhongshan, Guangdong, China, which laid theoretical and technical foundation to formulate an efficient urban river management scheme and served as a visualization tool for variation of water quality. This study posed a great opportunity to optimize management scheme of domestic and industrial sewage discharge, rendering sewage discharge amount to be under control. The performance of HF-RN was evaluated on real-world datasets and experimental results showed that HF-RN outperformed its baseline models with resulting mean absolute percent error (MAPE) ranging from 7.54% to 12.38%.","url":"https://pubmed.ncbi.nlm.nih.gov/40846259/","authors":["Zhang Y","Wu L"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025 Nov 1","doi":"10.1016/j.envpol.2025.126875","addedAt":"2026-08-31T06:40:02.533Z","updatedAt":"2026-08-31T06:40:02.533Z"},{"id":"pmid:40836577","name":"Weed mapping using UAV imagery and AI techniques: current trends and challenges.","source":"pubmed","abstract":"Despite achieving accuracy rates of over 90% in recognizing weeds in crop fields using images captured by unmanned aerial vehicles (UAVs), challenges remain with embedded systems that perform automatic weed identification in real-time. The primary objective of this review is to analyze the latest academic research on the application of machine learning/deep learning (DL) techniques for weed recognition, highlight the methodology employed, and identify the challenges encountered. A systematic review was conducted, and the retrieved papers were organized according to the strategy adopted in the proposed method. Then, for each niche, the studies were described and compared in terms of the methodology and the type of issues addressed. This review specifically covers research associated with weed mapping from images captured using UAVs, providing an in-depth and detailed analysis of them, presenting their advantages and limitations. Regarding classical methodologies, numerous works have focused on the proposition and analysis of features aimed at extracting information related to spectral reflectance, texture, geometry, and other spatial patterns, with the goal of improving the classifier's discrimination capacity. Here, a tendency was observed with respect to non-visible spectral channels. In contrast, DL methods stand out for their ability to extract multi-scale features directly from images, leading to promising results in distinguishing between weed species or types. This review outlines the current landscape of UAV imagery-based weed mapping systems, offering valuable insights for researchers and guiding future efforts toward real-time weed mapping and the development of intelligent systems for site-specific herbicide applications. &#xa9; 2025 Society of Chemical Industry.","url":"https://pubmed.ncbi.nlm.nih.gov/40836577/","authors":["Tosin MC","Merotto Júnior A","Sulzbach E","Scheeren I","Bagavathiannan M","Markus C"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025 Dec","doi":"10.1002/ps.70151","addedAt":"2026-08-31T06:40:02.533Z","updatedAt":"2026-08-31T06:40:02.533Z"},{"id":"pmid:40835880","name":"Assessment of plant diversity index in degraded desert grassland using UAV hyperspectral multimodal data and Encoder-CNN.","source":"pubmed","abstract":"The biodiversity function of the desert steppe ecosystem faces many challenges under the pressure of climate change and human activities. Accurate and efficient assessment of plant diversity is critical for guiding desert steppe restoration efforts. However, desert steppe vegetation has sparse leaves and sparse distribution. It is difficult to accurately distinguish micro-vegetation types based on a single spectrum, vegetation index or texture feature, and the resolution of satellite remote sensing cannot meet the needs of high-precision diversity assessment. To this end, this study proposed a novel method for assessing plant diversity index in degraded desert grassland based on multimodal UAV hyperspectral data and Encoder-CNN. Through experiments on different modal feature combinations, spatial spectra, vegetation indices and texture features were targeted and fused. Channel Attention Fusion (CAF) was introduced into Encoder to achieve cross-layer \"soft\" residual fusion, the Encoder and CNN models were fused to construct a global-local co-expression structure, and finally the quantitative calculation of the plant diversity index at the pixel level was realized. The results show that the vegetation types determined by the fusion of multimodal data and deep learning are consistent with the existing species, dominant species and sub-dominant species of the actual community, and the calculated diversity index results are also consistent with the actual situation. The use of multimodal data combining spatial spectral features with index features, combined with the Encode-CNN model, can provide the most accurate information on community composition. The overall accuracy of sparse vegetation classification can reach 90.01%, and the average accuracy can reach 85.23%, which is better than single mode or traditional 3DCNN, VIT models. This study demonstrates the application potential of UAV hyperspectral multimodal technology and deep learning in the assessment of desert steppe plant diversity, providing important technical support for ecological protection and conservation.","url":"https://pubmed.ncbi.nlm.nih.gov/40835880/","authors":["Tang Z","Xuan C","Zhang T","Gao X","Liu S","Zhang M"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025 Aug 21","doi":"10.1038/s41598-025-15566-9","addedAt":"2026-08-31T06:40:02.533Z","updatedAt":"2026-08-31T06:40:02.533Z"},{"id":"pmid:40835680","name":"Neural radiance fields assisted by image features for UAV scene reconstruction.","source":"pubmed","abstract":"With the rapid advancement of Unmanned Aerial Vehicle applications, vision-based 3D scene reconstruction has demonstrated significant value in fields such as remote sensing and target detection. However, scenes captured by UAVs are often large-scale, sparsely viewed, and complex. These characteristics pose significant challenges for neural radiance field (NeRF)-based reconstruction. Specifically, the reconstructed images may suffer from blurred edges and unclear textures. This is primarily due to the lack of edge information and the fact that certain objects appear in only a few images, leading to incomplete reconstructions. To address these issues, this paper proposes a hybrid image encoder that combines convolutional neural networks and Transformer to extract image features to assist NeRF in scene reconstruction and generate new perspective images. Furthermore, we extend the NeRF architecture by introducing an additional branch that estimates uncertainty values associated with transient regions in the scene, enabling the model to suppress dynamic content and focus on static structure reconstruction. To further improve synthesis quality, we also refine the loss function used during training to better guide network optimization. Experimental results on a custom UAV aerial imagery dataset demonstrate the effectiveness of our method in accurately reconstructing and rendering UAV-captured scenes.","url":"https://pubmed.ncbi.nlm.nih.gov/40835680/","authors":["Chen Z","Chen X","Ye C","Wu S","Wu X"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025 Aug 20","doi":"10.1038/s41598-025-16386-7","addedAt":"2026-08-31T06:40:02.533Z","updatedAt":"2026-08-31T06:40:02.533Z"},{"id":"pmid:40829432","name":"A review of landfill odors assessment: Advancing from stationary measurement to spatiotemporal monitoring.","source":"pubmed","abstract":"Odor issues from landfills remain a persistent environmental challenge, exacerbated by the increasing urbanization and the decreasing proximity of residential areas to waste disposal sites. Conventional odor measurement methods (e.g., olfactometry, gas chromatography-mass spectrometry) have been instrumental in studying landfill emissions and addressing odor complaints. However, these methods either rely on subjective human assessment or require bulky equipment, limiting their large-scale applications on landfill sites. Additionally, real-time odor measurement is hindered by the need for on-site air sampling followed by detailed panel or lab analysis. To overcome these limitations, there is a need to modernize landfill odor assessment through automation, enabling air sampling and analysis with rapid response to odor complaints. Scaling these odor sensors for instantaneous, widespread measurement presents challenges due to the complex and highly variable composition of landfill gaseous emissions. The primary odorants include volatile compounds (VCs) (e.g., hydrogen sulfide, ammonia) and volatile organic compounds (VOCs) (e.g., aromatic hydrocarbons, organic acids). This work explores the current state-of-the-art olfactory-based and analytical-based methods for landfill odor assessment and examines the latest advancements in automated platforms for large-scale measurement, such as unmanned aerial vehicles (UAVs) and unmanned ground vehicles (UGVs). This work also discusses the integration of graphic information system (GIS) and digital twin (DT) technologies for high-resolution spatiotemporal odor mapping and multi-modal data analysis (e.g., zoning, building classifications). Furthermore, the study provides insights into the future convergence of artificial intelligence (AI)-driven analytics, hybrid sensor technologies, and cost-effective scalable solutions to enhance landfill odor assessment and policy development.","url":"https://pubmed.ncbi.nlm.nih.gov/40829432/","authors":["Hassan SZ","Sun PP","Chen J","Reinhart D"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025 Sep","doi":"10.1016/j.wasman.2025.115086","addedAt":"2026-08-31T06:40:02.533Z","updatedAt":"2026-08-31T06:40:02.533Z"},{"id":"pmid:40825008","name":"Detecting infrared UAVs on edge devices through lightweight instance segmentation.","source":"pubmed","abstract":"Infrared unmanned aerial vehicle (UAV) detection for surveillance applications faces three conflicting requirements: accurate detection of pixel-level thermal signatures, real-time processing capabilities, and deployment feasibility on resource-constrained edge devices. Current deep learning approaches typically optimize for one or two of these objectives while compromising the third.","url":"https://pubmed.ncbi.nlm.nih.gov/40825008/","authors":["Chen Y","Sun H","Tian L","Yang Y","Wang S","Wang T"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.1371/journal.pone.0330074","addedAt":"2026-08-31T06:40:02.533Z","updatedAt":"2026-08-31T06:40:02.533Z"},{"id":"pmid:40822443","name":"Intelligent maneuver decision-making for UAVs using the TD3-LSTM reinforcement learning algorithm under uncertain information.","source":"pubmed","abstract":"Aiming to address the complexity and uncertainty of unmanned aerial vehicle (UAV) aerial confrontation, a twin delayed deep deterministic policy gradient (TD3)-long short-term memory (LSTM) reinforcement learning-based intelligent maneuver decision-making method is developed in this paper. A victory/defeat adjudication model is established, considering the operational capability of UAVs based on an aerial confrontation scenario and the 3-degree-of-freedom (3-DOF) UAV model. For the purpose of assisting UAVs in making maneuvering decisions in continuous action space, a model-driven state transition update mechanism is designed. The uncertainty is represented using the Wasserstein distance and memory nominal distribution methods to estimate the detection noise of the target. On the basis of TD3, an LSTM network is utilized to extract features from high-dimensional aerial confrontation situations with uncertainty. The effectiveness of the proposed method is verified by conducting four different aerial confrontation simulation experiments.","url":"https://pubmed.ncbi.nlm.nih.gov/40822443/","authors":["Zhou T","Liu Z","Jin W","Han Z"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.3389/frobt.2025.1645927","addedAt":"2026-08-31T06:40:02.533Z","updatedAt":"2026-08-31T06:40:02.533Z"},{"id":"pmid:40813754","name":"Venus flytrap-inspired PVDF-based sensitive strain sensor with modulus-tuned design for anisotropic bending recognition.","source":"pubmed","abstract":"Polyvinylidene fluoride (PVDF) has attracted extensive attention for flexible piezoelectric strain sensors due to its piezoelectric activity and mechanical robustness. However, practical application in small-strain monitoring occasions remains restricted by limitations such as low intrinsic piezoelectricity. Inspired by the mechanical structure of Venus flytrap's trigger hairs, this study synergistically combines modulus differentiation mechanisms with a coaxial architecture to develop core-shell nanofibers. The fiber structure comprises a rigid Polyamide 66 (PA66) core, a flexible PVDF sensing layer as the outer shell, and polydopamine-modified BaTiO 3 nanoparticles (PBTO) distributed within the outer sheath. These bioinspired fibers feature a radial stiffness-flexibility combination to achieve directional stress transmission. The modified nanofiber membrane achieves an 840% enhancement in voltage output compared to pure PVDF, demonstrating bending sensitivity of Gauge Factor (GF) 221.4 and only 0.67% signal attenuation over 12&#x2009;000 cyclic tests. Leveraging this amplification mechanism, the core-shell nanofibers have been engineered into bending vector sensors capable of discerning wind velocity magnitude and directional parameters. This approach shows potential for optimizing unmanned aerial vehicle flight trajectories to enhance operational efficiency.","url":"https://pubmed.ncbi.nlm.nih.gov/40813754/","authors":["Zeng L","Li Y","Li Q","Guo Y"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025 Aug 28","doi":"10.1039/d5nr02211h","addedAt":"2026-08-31T06:40:02.533Z","updatedAt":"2026-08-31T06:40:02.533Z"},{"id":"pmid:40807949","name":"Predictive Maintenance System to RUL Prediction of Li-Ion Batteries and Identify the Fault Type of Brushless DC Electric Motor from UAVs.","source":"pubmed","abstract":"Unmanned Aerial Vehicles have started to be used more and more due to the benefits they bring. Failure of Unmanned Aerial Vehicle components may result in loss of control, which may cause property damage or personal injury. In order to increase the operational safety of the Unmanned Aerial Vehicle, the implementation of a Predictive Maintenance system using the Internet of Things is required. In this paper, the authors propose a new architecture of Predictive Maintenance system for Unmanned Aerial Vehicles that is able to identify the fault type of Brushless DC electric motor and determine the Remaining Useful Life of the Li-ion batteries. In order to create the Predictive Maintenance system within the Unmanned Aerial Vehicle, an architecture based on Fog Computing was proposed and Machine Learning was used to extract knowledge from the data. The proposed architecture was practically validated.","url":"https://pubmed.ncbi.nlm.nih.gov/40807949/","authors":["Andrioaia DA"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025 Aug 3","doi":"10.3390/s25154782","addedAt":"2026-08-31T06:40:02.533Z","updatedAt":"2026-08-31T06:40:02.533Z"},{"id":"pmid:40807915","name":"Distributed Collaborative Data Processing Framework for Unmanned Platforms Based on Federated Edge Intelligence.","source":"pubmed","abstract":"Unmanned platforms such as unmanned aerial vehicles, unmanned ground vehicles, and autonomous underwater vehicles often face challenges of data, device, and model heterogeneity when performing collaborative data processing tasks. Existing research does not simultaneously address issues from these three aspects. To address this issue, this study designs an unmanned platform cluster architecture inspired by the cloud-edge-end model. This architecture integrates federated learning for privacy protection, leverages the advantages of distributed model training, and utilizes edge computing's near-source data processing capabilities. Additionally, this paper proposes a federated edge intelligence method (DSIA-FEI), which comprises two key components. Based on traditional federated learning, a data sharing mechanism is introduced, in which data is extracted from edge-side platforms and placed into a data sharing platform to form a public dataset. At the beginning of model training, random sampling is conducted from the public dataset and distributed to each unmanned platform, so as to mitigate the impact of data distribution heterogeneity and class imbalance during collaborative data processing in unmanned platforms. Moreover, an intelligent model aggregation strategy based on similarity measurement and loss gradient is developed. This strategy maps heterogeneous model parameters to a unified space via hierarchical parameter alignment, and evaluates the similarity between local and global models of edge devices in real-time, along with the loss gradient, to select the optimal model for global aggregation, reducing the influence of device and model heterogeneity on cooperative learning of unmanned platform swarms. This study carried out extensive validation on multiple datasets, and the experimental results showed that the accuracy of the DSIA-FEI proposed in this paper reaches 0.91, 0.91, 0.88, and 0.87 on the FEMNIST, FEAIR, EuroSAT, and RSSCN7 datasets, respectively, which is more than 10% higher than the baseline method. In addition, the number of communication rounds is reduced by more than 40%, which is better than the existing mainstream methods, and the effectiveness of the proposed method is verified.","url":"https://pubmed.ncbi.nlm.nih.gov/40807915/","authors":["Liu S","Shan N","Bao X","Xu X"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.3390/s25154752","addedAt":"2026-08-31T06:40:02.533Z","updatedAt":"2026-08-31T06:40:09.764Z"},{"id":"pmid:40807897","name":"A Semi-Automated RGB-Based Method for Wildlife Crop Damage Detection Using QGIS-Integrated UAV Workflow.","source":"pubmed","abstract":"Monitoring crop damage caused by wildlife remains a significant challenge in agricultural management, particularly in the case of large-scale monocultures such as maize. The given study presents a semi-automated process for detecting wildlife-induced damage using RGB imagery acquired from unmanned aerial vehicles (UAVs). The method is designed for non-specialist users and is fully integrated within the QGIS platform. The proposed approach involves calculating three vegetation indices-Excess Green (ExG), Green Leaf Index (GLI), and Modified Green-Red Vegetation Index (MGRVI)-based on a standardized orthomosaic generated from RGB images collected via UAV. Subsequently, an unsupervised k-means clustering algorithm was applied to divide the field into five vegetation vigor classes. Within each class, 25% of the pixels with the lowest average index values were preliminarily classified as damaged. A dedicated QGIS plugin enables drone data analysts (Drone Data Analysts-DDAs) to adjust index thresholds, based on visual interpretation, interactively. The method was validated on a 50-hectare maize field, where 7 hectares of damage (15% of the area) were identified. The results indicate a high level of agreement between the automated and manual classifications, with an overall accuracy of 81%. The highest concentration of damage occurred in the \"moderate\" and \"low\" vigor zones. Final products included vigor classification maps, binary damage masks, and summary reports in HTML and DOCX formats with visualizations and statistical data. The results confirm the effectiveness and scalability of the proposed RGB-based procedure for crop damage assessment. The method offers a repeatable, cost-effective, and field-operable alternative to multispectral or AI-based approaches, making it suitable for integration with precision agriculture practices and wildlife population management.","url":"https://pubmed.ncbi.nlm.nih.gov/40807897/","authors":["Banaszek S","Szota M"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025 Jul 31","doi":"10.3390/s25154734","addedAt":"2026-08-31T06:40:02.533Z","updatedAt":"2026-08-31T06:40:02.533Z"},{"id":"pmid:40807863","name":"Structural Component Identification and Damage Localization of Civil Infrastructure Using Semantic Segmentation.","source":"pubmed","abstract":"Visual inspection of civil infrastructure for structural health assessment, as performed by structural engineers, is expensive and time-consuming. Therefore, automating this process is highly attractive, which has received significant attention in recent years. With the increasing capabilities of computers, deep neural networks have become a standard tool and can be used for structural health inspections. A key challenge, however, is the availability of reliable datasets. In this work, the U-net and DeepLab v3+ convolutional neural networks are trained on a synthetic Tokaido dataset. This dataset comprises images representative of data acquired by unmanned aerial vehicle (UAV) imagery and corresponding ground truth data. The data includes semantic segmentation masks for both categorizing structural elements (slabs, beams, and columns) and assessing structural damage (concrete spalling or exposed rebars). Data augmentation, including both image quality degradation (e.g., brightness modification, added noise) and image transformations (e.g., image flipping), is applied to the synthetic dataset. The selected neural network architectures achieve excellent performance, reaching values of 97% for accuracy and 87% for Mean Intersection over Union (mIoU) on the validation data. It also demonstrates promising results in the semantic segmentation of real-world structures captured in photographs, despite being trained solely on synthetic data. Additionally, based on the obtained results of semantic segmentation, it can be concluded that DeepLabV3+ outperforms U-net in structural component identification. However, this is not the case in the damage identification task.","url":"https://pubmed.ncbi.nlm.nih.gov/40807863/","authors":["Tauzowski P","Ostrowski M","Bogucki D","Jarosik P","Błachowski B"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025 Jul 30","doi":"10.3390/s25154698","addedAt":"2026-08-31T06:40:02.533Z","updatedAt":"2026-08-31T06:40:02.533Z"},{"id":"pmid:40807719","name":"Lightweight Detection of Inserted Chirp Symbols in Radio Transmission from Commercial UAVs.","source":"pubmed","abstract":"Most small, commercial unmanned aerial vehicles (UAVs) maintain continuous two-way radio communication with the controller. Signals emitted by the UAVs can be used for detection of their presence, but as these drones use unlicensed frequency bands that are shared with many other wireless communication devices, UAV detection should rely on the unique characteristics of the transmitted signals. In this article, low-complexity methods for the detection of chirp symbols in downlink transmission from a UAV produced by DJI are proposed. The presented methods were developed with focus on the ability to detect presence of chirp symbols in radio transmission without a priori knowledge or need for center frequency estimation.","url":"https://pubmed.ncbi.nlm.nih.gov/40807719/","authors":["Cwalina KK","Rajchowski P","Sadowski J"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025 Jul 23","doi":"10.3390/s25154552","addedAt":"2026-08-31T06:40:02.533Z","updatedAt":"2026-08-31T06:40:02.533Z"},{"id":"pmid:40803038","name":"From aerial drone to quantitative trait locus: leveraging next-generation phenotyping to reveal the genetics of color and height in field-grown Lactuca sativa.","source":"pubmed","abstract":"In recent years, accurate and low-cost variant calling has enabled the genotyping of large diversity panels for genome-wide association studies. As a result, phenotyping rather than genotyping is now the rate-limiting step, especially in field experiments. This has created a strong need for high-throughput, accurate, and low-cost in-field phenotyping. Here, we present a genome-wide association study (GWAS) study on 194 field-grown accessions of lettuce (Lactuca sativa). These accessions were non-destructively phenotyped at two time points 15&#x2009;days apart using a drone equipped with an RGB and multispectral (MSP) camera. Our high-throughput phenotyping approach integrates an RGB- and MSP camera to measure the color and height of lettuce in this large-scale field experiment. We used the mean and other summary statistics, such as median, quantiles, skewness, kurtosis, minimum, and maximum to quantify different aspects of color and height variation in lettuce from the drone images. Using these summary statistics as traits for GWAS, we confirm several previously described genetic associations, now under field conditions, and identify additional novel associations for color and height traits in lettuce.","url":"https://pubmed.ncbi.nlm.nih.gov/40803038/","authors":["Dijkhuizen R","van Eijnatten AL","Mehrem SL","van den Bergh E","van Lieshout J","Spaninks K","Kaandorp S","Offringa R","Proveniers M","van den Ackerveken G","Snoek BL"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025 Aug","doi":"10.1111/tpj.70405","addedAt":"2026-08-31T06:40:02.533Z","updatedAt":"2026-08-31T06:40:02.533Z"},{"id":"pmid:40802581","name":"Drone-based application of whale tags: A \"tap-and-go\" approach for scientific animal-borne investigations.","source":"pubmed","abstract":"Deploying animal-borne suction-based tag devices on whales has been one of the primary tools used by researchers over the past several decades to gather high-resolution scientific information, such as bioacoustics, heart rate, dive depth, and body orientation. However, the process of successfully applying animal-borne tags is logistically challenging and requires substantial operator skill. Current methods apply tags by approaching the whale in a boat and adhering the tag via a long extension pole. In this study, we explore an alternative approach to apply animal-borne suction-based tag devices using First Person View (FPV) racing drones. These drones have been specifically adapted to withstand exposure to seawater, allowing them to operate effectively in marine environments. The drones are equipped with a custom interface, allowing to release the tag when it is applied on the whale's back. In this study, we present the development of the delivery drone as well as tag deployment techniques. The proposed method was demonstrated on sperm whales (Physeter macrocephalus) off Dominica, resulting in fast deployment time (one minute and fifteen seconds on average) and a relatively high deployment success rate (over 55 %). In addition, the presented deployment process offers a less invasive technique for tagging, as boats are not needed for close approaches. These methods also serve as a framework to enable future development of more automated solutions to apply the tag on exact anatomical targets with controlled initial adhesion pressure and without manual operation.","url":"https://pubmed.ncbi.nlm.nih.gov/40802581/","authors":["Vogt DM","Pagani S","Gonzalez-Peltier Z","Gero S","Gruber DF","Wood RJ"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.1371/journal.pone.0328037","addedAt":"2026-08-31T06:40:02.533Z","updatedAt":"2026-08-31T06:40:02.533Z"},{"id":"pmid:40792967","name":"Resource allocation and path planning for RSMA-enabled UAV-VLC networks considering UAV jitter.","source":"pubmed","abstract":"Unmanned aerial vehicle (UAV)-assisted visible light communication (VLC) plays an essential role in night communication and lighting. Nevertheless, the restricted payload capacity of UAVs, coupled with user demands for high communication quality, brings new challenges to UAV communication. This research explores a rate-splitting multiple access (RSMA)-enabled UAV-VLC network considering jittering effects with imperfect channel state information (CSI) and successive interference cancellation (SIC). Then, a multi-objective optimization problem is proposed to minimize energy consumption and maximize the transmission rate. Due to its non-convexity and high computational complexity, the problem is decomposed into two sub-problems: path planning and power allocation. For the path planning problem, a hover point fine-tuning algorithm is proposed considering the field of view (FoV) constraint, and then a simulated annealing (SA) algorithm is utilized to obtain an optimized trajectory. For the power allocation problem, linear fractional programming (LFP) and successive convex approximation (SCA) are employed to convert the power allocation issue into a convex one. Finally, simulation results demonstrate the effectiveness of the proposed algorithm in RSMA power allocation and UAV path planning.","url":"https://pubmed.ncbi.nlm.nih.gov/40792967/","authors":["Feng R","Liu Y","Luo L","Zhao S","Yousaf MZ","Khan B"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025 Mar 10","doi":"10.1364/AO.543238","addedAt":"2026-08-31T06:40:02.533Z","updatedAt":"2026-08-31T06:40:02.533Z"},{"id":"pmid:40791075","name":"Rational Design of NiCo(2)O(4)/Ti(3)C(2) MXene Heterostructure for Unmanned Aerial Vehicles-Enabled Real-Time CO Monitoring.","source":"pubmed","abstract":"The integration of gas sensors with small unmanned aerial vehicles (UAVs) has attracted widespread attention in atmospheric chemistry, industrial emission monitoring and environmental protection. However, conventional metal oxide semiconductor gas sensors currently installed on UAVs exhibit issues such as inadequate sensitivity, long response times, and unsatisfactory stability. In this direction, NiCo 2 O 4 inserted two-dimensional layered Ti 3 C 2 MXene have synthesized using a facile hydrothermal method for CO detection. The density functional theory (DFT) calculations were first employed to explore CO adsorption behaviors, revealing that the adsorption energy of gas molecules is significantly reduced after the combination of NiCo 2 O 4 and MXene. The optimized MXene incorporation effectively prevents nanoparticle agglomeration, significantly increasing the specific surface area and exposing abundant active sites for gas adsorption. As a result, the hybrid sensor exhibited more than five times higher response toward 100 ppm CO at 110 &#xb0;C with shorter response time (39 s) than pristine NiCo 2 O 4 . Through in situ Raman spectroscopy analysis, we elucidated the rapid adsorption-desorption of gas molecules on heterostructures. Furthermore, we successfully implemented the developed NiCo 2 O 4 /Ti 3 C 2 MXene sensor on a compact drone platform, enabling real-time three-dimensional spatial mapping of CO concentrations. This work not only advances the design of high-performance gas sensing materials but also showcases the practical viability of drone-mounted MXene sensors for real-time 3D air quality mapping, paving the way for smart environmental monitoring systems.","url":"https://pubmed.ncbi.nlm.nih.gov/40791075/","authors":["Lian M","Luan K","He T","Chen D"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025 Aug 22","doi":"10.1021/acssensors.5c02059","addedAt":"2026-08-31T06:40:02.533Z","updatedAt":"2026-08-31T06:40:02.533Z"},{"id":"pmid:40790039","name":"Slope inspection under dense vegetation using LiDAR-based quadrotors.","source":"pubmed","abstract":"Landslides pose significant threats to residents' safety and daily lives. To mitigate such risks, flexible debris-resisting barriers are constructed and regularly inspected, a task known as slope inspection. Traditional manual inspections are costly and difficult due to steep terrains and dense vegetation. Unmanned aerial vehicle (UAV) equipped with LiDAR and cameras offers high mobility, making them well-suited for slope inspections. However, existing UAV solutions lack comprehensive frameworks to handle dense vegetation, including robust localization, high-precision mapping, small and dynamic obstacle avoidance, and cluttered under-canopy navigation. To address these challenges, we develop a LiDAR-based quadrotor with a comprehensive software system. Our quadrotor features assisted obstacle avoidance, enabling it to autonomously avoid intricate obstacles while executing pilot commands. Field experiments conducted in collaboration with the Hong Kong Civil Engineering and Development Department demonstrate our quadrotor's ability to avoid small obstacles and maneuver in dense vegetation, validating its practical potential for slope inspection.","url":"https://pubmed.ncbi.nlm.nih.gov/40790039/","authors":["Liu W","Ren Y","Guo R","Kong VWW","Hung ASP","Zhu F","Cai Y","Wu H","Zou Y","Zhang F"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025 Aug 11","doi":"10.1038/s41467-025-62801-y","addedAt":"2026-08-31T06:40:02.533Z","updatedAt":"2026-08-31T06:40:02.533Z"},{"id":"pmid:40786603","name":"Design, assembly, and tuning of a multipurpose FPV drone: A flexible and low-cost alternative.","source":"pubmed","abstract":"This article details the design, assembly, and tuning of a multipurpose FPV (First Person View) drone designed as a budget-friendly and customizable alternative to professional-grade drone model. Built with a focus on performance, adaptability, durability, and ease of repair, the APdrone (All Purpose Drone) incorporates high-quality components such as a carbon fiber frame, brushless motors, and advanced flight controllers. To ensure optimal flight characteristics, a comprehensive tuning process was performed using empirical adjustments, supported by controlled testing environments, to optimize PID parameters ( K p , K i , K d ) to achieve stable and precise flight performance. Testing demonstrated a flight time of approximately 8 min under standard conditions with a maximum payload capacity of 0.98 kg. Importantly, the APdrone offers operational flexibility and significant cost savings (USD 647.09), compared to high-end drones like the DJI Mavic 3 Pro, while maintaining comparable functionality and allowing for customization. To encourage accessibility, reproducibility and further development, open-source design files, including CAD schematics, firmware configurations, and assembly instructions, are provided. The APdrone serves as a scalable platform for research, recreational use, and advancements within the UAV (Unmanned Aerial Vehicle) field.","url":"https://pubmed.ncbi.nlm.nih.gov/40786603/","authors":["Arenas Mamani FA","Capira Malcoaccha GB","Blanco Quicaño MA","Prado Gutierrez LG","Echaiz Espinoza GA","Sulla Espinoza E","Ortiz Salazar A"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025 Sep","doi":"10.1016/j.ohx.2025.e00672","addedAt":"2026-08-31T06:40:02.533Z","updatedAt":"2026-08-31T06:40:02.533Z"},{"id":"pmid:40783438","name":"Optimization of helicopter and UAV coordinated SAR time.","source":"pubmed","abstract":"The optimization of total helicopter-unmanned aerial vehicle (UAV) coordinated search-and-rescue (SAR) time to buy time for follow-up rescue activities is an important problem in air rescue that needs to be solved. In this study, helicopter was used as a carrier for the remote taking-off and landing (TAL) of UAV. The helicopter-UAV rescue time optimization, in which UAV is responsible for low-altitude detection task, include the remote TAL site selection model for UAV, the SAR task allocation model of UAV, and helicopter-UAV coordinated SAR time optimization model. To address the high site selection cost for the local TAL mode of UAV, a remote TAL site selection model for UAV in helicopter-UAV coordinated SAR was constructed in this study. Subsequently, a weighted distance matrix among SAR points was introduced, and an improved task allocation model of UAV was constructed to overcome security conflicts, which easily occur when UAV frequently runs across the helicopter airways. Finally, a helicopter-UAV coordinated SAR time optimization model of multi-UAV parallel searching was built to improve the coordinated SAR efficiency with considerations to the performance of the helicopter. According to the sensitivity analysis based on the earthquake of Yushu, the improved model increased the SAR efficiency significantly under different numbers of SAR points compared with the traditional mode. Specifically, the site selection cost under 50 SAR points was reduced by 56.08%, but the SAR efficiency was improved by 37.3%. This finding also demonstrates that the proposed method can adapt to SAR tasks in a larger scale. The proposed method provides references to study helicopter-UAV coordinated SAR problems.","url":"https://pubmed.ncbi.nlm.nih.gov/40783438/","authors":["Zhang M","Huo Y","Zhang H","Duan J","Wen F"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025 Aug 9","doi":"10.1038/s41598-025-14192-9","addedAt":"2026-08-31T06:40:02.533Z","updatedAt":"2026-08-31T06:40:02.533Z"},{"id":"pmid:40776110","name":"Revolutionizing Disaster Management: A Scoping Review of Drone Technology and Informatics in Humanitarian Response.","source":"pubmed","abstract":"Drones, or unmanned aerial vehicles (UAVs), are transforming humanitarian operations by providing solutions for disaster relief, medical logistics, and aid delivery in challenging environments. This scoping review explores UAV applications in humanitarian contexts, emphasizing their advantages, limitations, and barriers to adoption. A systematic search of Google Scholar, Scopus, PubMed, and IEEE identified 1,075 records, with 20 studies selected after screening. The analysis highlights UAVs' effectiveness in emergency response, logistics, and post-disaster monitoring. UAVs have reduced delivery times for life-saving supplies and provided real-time data for decision-making during crises. Most studies (n = 16, 80%) focus on natural disasters, with additional applications in conflict zones, forest fires, and health crises. Key benefits include flexibility, cost efficiency, and rapid response capabilities. Sustainability is a growing advantage. However, adoption faces challenges. Technological constraints, such as limited battery life and payload capacity, are compounded by organizational issues like insufficient skilled operators and coordination gaps. Regulatory barriers and ethical concerns hinder use, particularly privacy and community acceptance. This review calls for harmonized regulations, targeted investments, and stronger collaboration to enhance UAVs' role in disaster management and humanitarian logistics.","url":"https://pubmed.ncbi.nlm.nih.gov/40776110/","authors":["El-Sakka A","Osman A","Househ M"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025 Aug 7","doi":"10.3233/SHTI251092","addedAt":"2026-08-31T06:40:02.533Z","updatedAt":"2026-08-31T06:40:02.533Z"},{"id":"pmid:40774972","name":"Multiaxial vibration data for blade fault diagnosis in multirotor unmanned aerial vehicles.","source":"pubmed","abstract":"This dataset presents multiaxial vibration signals collected from a multirotor unmanned aerial vehicle (UAV) operating in hover mode for the purpose of blade fault diagnosis. Vibration measurements were recorded at the geometric center of the UAV, where the centerlines of the four rotor arms intersect, using a triaxial accelerometer. The dataset captures variations across the X, Y, and Z axes under different blade fault conditions, including healthy, minor imbalance, severe imbalance, and screw loosening scenarios. Each flight scenario was repeated under controlled conditions to ensure consistency and high-quality labeling. The resulting soft-labeled dataset includes time-domain signals from numerous test flights and has been used in multiple prior studies involving classical and deep learning-based fault classification techniques. This curated data collection provides a valuable resource for researchers in UAV health monitoring, vibration analysis, and machine learning-based fault diagnosis. The dataset is particularly useful for the development and benchmarking of signal processing pipelines and classification models aimed at identifying blade-level faults in multirotor UAV systems.","url":"https://pubmed.ncbi.nlm.nih.gov/40774972/","authors":["Al-Haddad LA","Jaber AA","Hamzah MN","Kraiem H","Al-Karkhi MI","Flah A"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025 Aug 7","doi":"10.1038/s41597-025-05692-4","addedAt":"2026-08-31T06:40:02.533Z","updatedAt":"2026-08-31T06:40:02.533Z"},{"id":"pmid:40772047","name":"Bacillus-based inoculants enhance drought resilience in soybean: agronomic performance and remote sensing analysis from multi-location trials in Brazil.","source":"pubmed","abstract":"Climate change exacerbates drought stress, posing challenges to global soybean grain yield. This study assesses the effectiveness of microbial inoculants derived from two Bacillus velezensis (strains 5D5, 6E9) and one Bacillus subtilis (strain 1A11), which were previously selected in vitro to promote growth and enhance drought resilience in soybeans ( Glycine max [L.] Merr.), and evaluated through agronomic metrics and remote sensing. A greenhouse experiment was conducted to evaluate the performance of these inoculants under both irrigated and drought conditions. The inoculants were applied at the dose-range of 1, 2, 3 and 4 mL Kg-1 of seed to identify the optimal dose. The greenhouse results indicated that for many tested doses, the three bacterial strains significantly increased shoot fresh weight, shoot dry weight, and root dry weight compared to control treatments. Multi-location field-trials in Brazil (Birigui, Itapira and Piracicaba) were conducted during the growing seasons of 2022-2023 and 2023-2024, using 3 mL Kg-1 of seed as a reference dose. These field-trials revealed yield improvements of 11.3 to 18\\% for inoculated treatments, with B. subtilis 1A11 achieving the highest grain yield of 620 Kg ha-1 over the control. However, all three microbial inoculants significantly enhanced soybean development and grain yield relative to non-inoculated controls. Vegetation indices, particularly the Enhanced Vegetation Index 2 (EVI2), derived from PlanetScope satellite and Unmanned Aerial Vehicle (UAV) imagery, demonstrated a high overlap between field data and model predictions, confirming the value of remote sensing as a predictive tool. Climatic variability significantly impacted the yield in field-trials, with 2022-2023 (4.28 t ha-1 outperforming 2023-2024 (3.34 t ha-1) due to higher temperatures (&gt;40 &#xb0;C) and lower rainfall in the last season. Meanwhile, locations with balanced precipitation, like Itapira, showed superior grain yield. Statistical modeling confirmed inoculant efficacy and EVI2's utility in production measurement. This study emphasizes that microbial inoculants can serve as sustainable strategies to mitigate the impacts of drought. By integrating Bacillus -based bioinoculants into soybean cultivation and utilizing both agronomic and remote sensing metrics for validation, we can enhance resilience and ultimately support food security amid climate variability.","url":"https://pubmed.ncbi.nlm.nih.gov/40772047/","authors":["Vasconcelos JCS","Arantes CS","Gomes EA","de Oliveira-Paiva CA","de Sousa SM","Speranza EA","Antunes JFG","Lana UGP","Cançado GMA"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.3389/fpls.2025.1630127","addedAt":"2026-08-31T06:40:02.533Z","updatedAt":"2026-08-31T06:40:02.533Z"},{"id":"pmid:40768670","name":"Molecular Characterization of Composition and Volatility of Ambient Organic Aerosol Sampled by an UAV-Mounted Portable Aethalometer.","source":"pubmed","abstract":"Aethalometers are commonly used to measure light absorption by brown carbon (BrC) components of organic aerosols (OA), but they offer limited insight into OA composition. In this study, an unmanned aerial vehicle (UAV) was equipped with a microaethalometer and an optical particle counter (OPC) to measure multiwavelength absorption coefficients and aerosol mass concentrations, while collecting ambient OA samples at 15 and 200 m flight altitudes over an urban area. The collected aethalometer samples were analyzed using an advanced analytical chemistry measurement platform that combines temperature-programmed desorption (TPD) with direct analysis in real-time (DART) ionization and high-resolution mass spectrometry (HRMS), enabling combined optical and molecular characterization. Results show significantly higher OA mass concentrations and light absorption near the surface at 15 m compared to 200 m, reflecting strong local ground-level emissions. Apparent enthalpies of evaporation and saturation vapor mass concentrations of OA components derived from TPD-DART-HRMS measurements agreed well with published values. The particle-phase composition, volatility, and viscosity of OA exhibited comparable characteristics between samples collected at two altitudes with a little variation. This study demonstrates the value of combining UAV-based aethalometer sampling with TPD-DART-HRMS for untargeted molecular analysis of ambient OA. This integrated approach enables simultaneous evaluation of light absorption, volatility, and viscosity&#x2500;offering a powerful tool for advancing the understanding of BrC chemistry and aerosol processes.","url":"https://pubmed.ncbi.nlm.nih.gov/40768670/","authors":["Xie Q","Windwer E","Morton IS","Lavin KE","Halpern ER","Nissenbaum D","Nizkorodov SA","Rudich Y","Laskin A"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025 Aug 19","doi":"10.1021/acs.analchem.5c03027","addedAt":"2026-08-31T06:40:02.533Z","updatedAt":"2026-08-31T06:40:02.533Z"},{"id":"pmid:40765856","name":"ALPD-Net: a wild licorice detection network based on UAV imagery.","source":"pubmed","abstract":"Licorice has significant medicinal and ecological importance. However, prolonged overharvesting has resulted in twofold damage to wild licorice resources and the ecological environment. Thus, precisely determining the distribution and growth condition of wild licorice is critical. Traditional licorice resource survey methods are unsuitable for complex terrain and do not meet the requirements of large-scale monitoring.","url":"https://pubmed.ncbi.nlm.nih.gov/40765856/","authors":["Yang J","Qin H","Dai J","Zhang G","Xu M","Qin Y","Liu J"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.3389/fpls.2025.1617997","addedAt":"2026-08-31T06:40:02.533Z","updatedAt":"2026-08-31T06:40:02.533Z"},{"id":"pmid:40764720","name":"Hybrid path planning algorithm for underactuated AUV based on RRT star and APF.","source":"pubmed","abstract":"To address the kinematic constraints and real-time requirements of autonomous underwater vehicle (AUV), this paper proposes a novel path planning algorithm: Directional Cone and Goal-Biased Dynamic Artificial Potential Field RRT* (DCGB-DAPF-RRT*). The algorithm integrates four key techniques-Directional Cone sampling, Goal-Biased sampling, Adaptive Step Length, and a Dynamic Artificial Potential Field-to improve sampling efficiency and path quality over conventional RRT-based methods. In addition, redundant node pruning and cubic non-uniform B-spline interpolation are employed to enhance trajectory smoothness and ensure kinematic feasibility. Experimental and simulation results demonstrate that the proposed algorithm reduces path planning time by 50.0-73.6%, decreases the number of nodes by 71.0-77.8%, and lowers the number of iterations by 61.0-85.0%, while achieving a 100% success rate in complex environments. The final path length is reduced to 1766.1 m, and the maximum turning angle is limited to 11.35&#xb0;, fully satisfying the motion constraints of AUV.","url":"https://pubmed.ncbi.nlm.nih.gov/40764720/","authors":["Zhang B","Su Y","Sun S","Luo W","Huang Q"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025 Aug 5","doi":"10.1038/s41598-025-11500-1","addedAt":"2026-08-31T06:40:02.533Z","updatedAt":"2026-08-31T06:40:02.533Z"},{"id":"pmid:40764332","name":"Records of shallow landslides triggered by extreme rainfall in July 2024 in Zixing, China.","source":"pubmed","abstract":"Global climate change has led to the frequent extreme meteorological events in recent years, triggering severe clustered landslides in mountainous regions. Records of these clustered landslides not only provide post-disaster statistics but also play a crucial role in advancing data-driven regional landslide research and intelligent landslide detection. The Rainfall-induced Landslide in Zixing (RLZX) datasets consist of a landslide inventory map (LIM) and a landslide detection dataset (LDD). RLZX-LIM was created through visual interpretation of 3D scenes before and after the rainfall event, containing 19,403 shallow landslides triggered by extreme rainfall in Zixing City, China, between July 26 and July 28, 2024. We have provided quantitative evaluations of the quality of RLZX-LIM based on reference data obtained from road-aligned surveys and unmanned aerial vehicle (UAV) mapping in the field. RLZX-LDD is further developed using both UAV and satellite images, offering higher quality and robustness, effectively filling the gap in rainfall-induced LDDs. The RLZX datasets have been publicly released for free use to promote related landslide research.","url":"https://pubmed.ncbi.nlm.nih.gov/40764332/","authors":["Fu Z","Wang F","Ma H","You Q","Feng Y"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025 Aug 5","doi":"10.1038/s41597-025-05670-w","addedAt":"2026-08-31T06:40:02.533Z","updatedAt":"2026-08-31T06:40:02.533Z"},{"id":"pmid:40760150","name":"Enhanced Q learning and deep reinforcement learning for unmanned combat intelligence planning in adversarial environments.","source":"pubmed","abstract":"This study proposes a multimodal deep reinforcement learning (MDRL) architecture, Multimodal Deep Reinforcement Learning-Deep Q-Network (MDRL-DQN), based on an improved Q-Learning algorithm. It aims to optimize Unmanned Aerial Vehicle (UAV) scheduling and execution capabilities in intelligent unmanned combat planning. By integrating an attention mechanism and an adaptive reward mechanism, the algorithm effectively fuses image data, sensor data, and intelligent information, enabling collaborative multimodal data processing. This improves task success rates, execution efficiency, and UAV deployment stability. Experimental results show that the improved MDRL-DQN algorithm demonstrates significant advantages in complex task scenarios. Specifically, in the long-distance dispersed defense (Scenario 1) and long-distance concentrated defense (Scenario 3), the task success rates reach 89.6% and 94.8%, respectively, outperforming other algorithms by several percentage points. Additionally, in Scenario 1, MDRL-DQN completes tasks in 720.8&#xa0;s, which is 16.7% faster than Proximal Policy Optimization (PPO) at 865.3&#xa0;s, highlighting its superior execution efficiency. These results indicate that the improved Q-Learning algorithm effectively enhances the efficiency and stability of unmanned combat tasks, providing new insights for intelligent planning in future unmanned operations.","url":"https://pubmed.ncbi.nlm.nih.gov/40760150/","authors":["Jianhong X","Gongqian L"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025 Aug 4","doi":"10.1038/s41598-025-13752-3","addedAt":"2026-08-31T06:40:02.533Z","updatedAt":"2026-08-31T06:40:02.533Z"},{"id":"pmid:40753260","name":"Convolutional transform learning based fusion framework for scale invariant long term target detection and tracking in unmanned aerial vehicles.","source":"pubmed","abstract":"Unmanned aerial vehicles (UAVs) become increasingly available devices with extensive usage as environmental monitoring systems. With the benefit of higher mobility, UAVs are applied to fuel various significant uses in computer vision (CV), providing more effectiveness and accessibility than surveillance cameras with permanent camera view, angle, and scale. Nevertheless, owing to camera motion and composite environments, it is problematic to identify the UAV; conventional models frequently miss UAV detection and make false alarms. Drone-equipped cameras monitor objects at changing altitudes, leading to essential scale variants. The model increases targeted accuracy and decreases false positives using real-time data and machine learning (ML) methods. Its enormous applications range from military operations to urban planning and wildlife monitoring. Therefore, this study develops a novel long-term target detection and tracking model for unmanned aerial vehicles using a deep fusion-based convolutional transform learning (LTTDT-UAVDFCTL) model. The LTTDT-UAVDFCTL model presents a new model to improve the robustness and accuracy of target tracking and detection in scale-variant environments. At first, the presented LTTDT-UAVDFCTL technique performs image pre-processing by utilizing the median median-enhanced wiener filter (MEWF) technique to improve clarity and reduce noise. For object detection (OD), the highly accurate YOLOv8 technique is utilized, followed by feature extraction through a backbone deep fusion-based convolutional transform learning of VGG16, CapsNet, and EfficientNetB7 to capture both spatial and hierarchical features across varying scales. Moreover, the graph convolutional neural network (GCN) technique is employed for long-term target detection and tracking models. Finally, the hybrid nonlinear whale optimization algorithm with sine cosine (SCWOA) is implemented for the optimum choice of the hyperparameters involved in the GCN technique. The experimental study of the LTTDT-UAVDFCTL approach is performed under the VisDrone dataset. The performance validation of the LTTDT-UAVDFCTL approach portrayed a superior mAP value of 80.13% over existing models.","url":"https://pubmed.ncbi.nlm.nih.gov/40753260/","authors":["Alrayes FS","Ahmad N","Alshuhail A","Alshammeri M","Alqazzaz A","Alkhiri H","Alqurni JS","Said Y"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025 Aug 2","doi":"10.1038/s41598-025-09652-1","addedAt":"2026-08-31T06:40:02.533Z","updatedAt":"2026-08-31T06:40:02.533Z"},{"id":"pmid:40743236","name":"Small target detection algorithm based on the fusion attention mechanism and multi-layer convolution.","source":"pubmed","abstract":"In the realm of unmanned aerial vehicles, we proposed an enhanced small target detection algorithm, MGAC-YOLO, to address the challenges of missed detections and low accuracy associated with small target identification. Initially, we designed the MConv (Multi-layer Convolution) module to replace the conventional Conv module within the backbone network, thereby augmenting the dimensionality of information capture and enhancing the detection performance for small targets. Subsequently, we harnessed the advantages of both attention mechanisms-GAM (Global Attention Mechanism) and CloAttention (Contextualized Local and Global Attention)-to create a GACAttention module that extracts small target features from both global and local perspectives, thereby enriching the network's focus on small target feature information and further enhancing its feature processing capabilities. Finally, we incorporated an additional small target detection layer to capture feature information at a shallower level, thereby reducing the likelihood of missed detections and bolstering the detection capabilities for small targets. Experimental results on the VisDrone2019 dataset demonstrate that the Precision, mAP50, and mAP50-95 of the MGAC-YOLO algorithm have improved by 5.3%, 6.3%, and 4.4%, respectively, in comparison to the baseline model YOLOv8s. Furthermore, when compared to other leading algorithms, the MGAC-YOLO algorithm has exhibited notable superiority.","url":"https://pubmed.ncbi.nlm.nih.gov/40743236/","authors":["Li X","Zhang H","Hang Y","Chen H"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.1371/journal.pone.0328003","addedAt":"2026-08-31T06:40:02.533Z","updatedAt":"2026-08-31T06:40:02.533Z"},{"id":"pmid:40739835","name":"Neural Plasticity Induced by Working Memory Training: Insights From Cortical Microstructure and Transcriptional Profiles.","source":"pubmed","abstract":"To investigate the effects of an 8-week standardized computerized working memory training (WMT) program on cortical microstructure, morphometric similarity network (MSN) changes, and associated genetic factors in healthy adults.","url":"https://pubmed.ncbi.nlm.nih.gov/40739835/","authors":["Zhang T","Gao Y","Li Y","Wu L","Lin X","Hou Y","He W","Zhu Y","Jiang J","Xie Y","Fang P"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025 Aug","doi":"10.1111/cns.70479","addedAt":"2026-08-31T06:40:02.533Z","updatedAt":"2026-08-31T06:40:02.533Z"},{"id":"pmid:40736346","name":"A YOLOv7-based method for crown extraction from UAV imagery.","source":"pubmed","abstract":"In response to the challenges of complex background interference, inadequate feature utilization, and model redundancy in multispectral crown extraction, this paper proposes a dual-channel crown detection and segmentation approach based on an improved YOLOv7 architecture, named Dual-YOLOv7. First, a dual-branch feature extraction network is designed, integrating visible light and infrared spectral information and dynamically weights key features through an attention mechanism. Second, the D-SimSPPF module is introduced, which employs depthwise separable convolution to optimize spatial pyramid pooling, thereby enhancing the capability to capture fine details while reducing the number of parameters. Furthermore, the CIoU-C loss function is developed, incorporating a shape penalty factor to improve the accuracy of bounding box regression. Experimental results demonstrate that the improved model achieves detection and segmentation mAP 50 scores of 91.6% and 90.1%, respectively, representing increases of 7.7 and 7.6 percentage points over YOLOv7-seg. After channel pruning, the model parameter count is reduced by 14.2%, offering a lightweight solution suitable for unmanned aerial vehicle platforms.","url":"https://pubmed.ncbi.nlm.nih.gov/40736346/","authors":["Shen P","Xue H","Li T","Mei K","Lu Y","Luo W","Wang G","Cao HQ"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025 Jul-Sep","doi":"10.1177/00368504251352707","addedAt":"2026-08-31T06:40:02.533Z","updatedAt":"2026-08-31T06:40:02.533Z"},{"id":"pmid:40735612","name":"The pipelines of deep learning-based plant image processing.","source":"pubmed","abstract":"Recent advancements in data science and artificial intelligence have significantly transformed plant sciences, particularly through the integration of image recognition and deep learning technologies. These innovations have profoundly impacted various aspects of plant research, including species identification, disease detection, cellular signaling analysis, and growth monitoring. This review summarizes the latest computational tools and methodologies used in these areas. We emphasize the importance of data acquisition and preprocessing, discussing techniques such as high-resolution imaging and unmanned aerial vehicle (UAV) photography, along with image enhancement methods like cropping and scaling. Additionally, we review feature extraction techniques like colour histograms and texture analysis, which are essential for plant identification and health assessment. Finally, we discuss emerging trends, challenges, and future directions, offering insights into the applications of these technologies in advancing plant science research and practical implementations.","url":"https://pubmed.ncbi.nlm.nih.gov/40735612/","authors":["Hong K","Zhou Y","Han H"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.1017/qpb.2025.10018","addedAt":"2026-08-31T06:40:02.533Z","updatedAt":"2026-08-31T06:40:02.533Z"},{"id":"pmid:40733446","name":"The Evaluation of Small-Scale Field Maize Transpiration Rate from UAV Thermal Infrared Images Using Improved Three-Temperature Model.","source":"pubmed","abstract":"Transpiration is the dominant process driving water loss in crops, significantly influencing their growth, development, and yield. Efficient monitoring of transpiration rate (Tr) is crucial for evaluating crop physiological status and optimizing water management strategies. The three-temperature (3T) model has potential for rapid estimation of transpiration rates, but its application to low-altitude remote sensing has not yet been further investigated. To evaluate the performance of 3T model based on land surface temperature (LST) and canopy temperature (T C ) in estimating transpiration rate, this study utilized an unmanned aerial vehicle (UAV) equipped with a thermal infrared (TIR) camera to capture TIR images of summer maize during the nodulation-irrigation stage under four different moisture treatments, from which LST was extracted. The Gaussian Hidden Markov Random Field (GHMRF) model was applied to segment the TIR images, facilitating the extraction of T C . Finally, an improved 3T model incorporating fractional vegetation coverage (FVC) was proposed. The findings of the study demonstrate that: (1) The GHMRF model offers an effective approach for TIR image segmentation. The mechanism of thermal TIR segmentation implemented by the GHMRF model is explored. The results indicate that when the potential energy function parameter &#x3b2; value is 0.1, the optimal performance is provided. (2) The feasibility of utilizing UAV-based TIR remote sensing in conjunction with the 3T model for estimating Tr has been demonstrated, showing a significant correlation between the measured and the estimated transpiration rate (T r -3T C ), derived from T C data obtained through the segmentation and processing of TIR imagery. The correlation coefficients (r) were 0.946 in 2022 and 0.872 in 2023. (3) The improved 3T model has demonstrated its ability to enhance the estimation accuracy of crop Tr rapidly and effectively, exhibiting a robust correlation with T r -3T C . The correlation coefficients for the two observed years are 0.991 and 0.989, respectively, while the model maintains low RMSE of 0.756 mmol H 2 O m -2 s -1 and 0.555 mmol H 2 O m -2 s -1 for the respective years, indicating strong interannual stability.","url":"https://pubmed.ncbi.nlm.nih.gov/40733446/","authors":["Yang X","Zhang Z","Xu Q","Dong N","Bai X","Liu Y"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025 Jul 17","doi":"10.3390/plants14142209","addedAt":"2026-08-31T06:40:02.533Z","updatedAt":"2026-08-31T06:40:02.533Z"},{"id":"pmid:40733393","name":"UAV-Based Automatic Detection of Missing Rice Seedlings Using the PCERT-DETR Model.","source":"pubmed","abstract":"Due to the limitations of the sowing machine performance and rice seed germination rates, missing seedlings inevitably occur after rice is sown in large fields. This phenomenon has a direct impact on the rice yield. In the field environment, the existing methods for detecting missing seedlings based on unmanned aerial vehicle (UAV) remote sensing images often have unsatisfactory effects. Therefore, to enable the fast and accurate detection of missing rice seedlings and facilitate subsequent reseeding, this study proposes a UAV remote-sensing-based method for detecting missing rice seedlings in large fields. The proposed method uses an improved PCERT-DETR model to detect rice seedlings and missing seedlings in UAV remote sensing images of large fields. The experimental results show that PCERT-DETR achieves an optimal performance on the self-constructed dataset, with an mean average precision (mAP) of 81.2%, precision (P) of 82.8%, recall (R) of 78.3%, and F 1 -score (F 1 ) of 80.5%. The model's parameter count is only 21.4 M and its FLOPs reach 66.6 G, meeting real-time detection requirements. Compared to the baseline network models, PCERT-DETR improves the P, R, F 1 , and mAP by 15.0, 1.2, 8.5, and 6.8 percentage points, respectively. Furthermore, the performance evaluation experiments were carried out through ablation experiments, comparative detection model experiments and heat map visualization analysis, indicating that the model has a strong detection performance on the test set. The results confirm that the proposed model can accurately detect the number of missing rice seedlings. This study provides accurate information on the number of missing seedlings for subsequent reseeding operations, thus contributing to the improvement of precision farming practices.","url":"https://pubmed.ncbi.nlm.nih.gov/40733393/","authors":["Gao J","Tan F","Hou Z","Li X","Feng A","Li J","Bi F"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025 Jul 13","doi":"10.3390/plants14142156","addedAt":"2026-08-31T06:40:02.533Z","updatedAt":"2026-08-31T06:40:02.533Z"},{"id":"pmid:40732647","name":"MCFA: Multi-Scale Cascade and Feature Adaptive Alignment Network for Cross-View Geo-Localization.","source":"pubmed","abstract":"Cross-view geo-localization (CVGL) presents significant challenges due to the drastic variations in perspective and scene layout between unmanned aerial vehicle (UAV) and satellite images. Existing methods have made certain advancements in extracting local features from images. However, they exhibit limitations in modeling the interactions among local features and fall short in aligning cross-view representations accurately. To address these issues, we propose a Multi-Scale Cascade and Feature Adaptive Alignment (MCFA) network, which consists of a Multi-Scale Cascade Module (MSCM) and a Feature Adaptive Alignment Module (FAAM). The MSCM captures the features of the target's adjacent regions and enhances the model's robustness by learning key region information through association and fusion. The FAAM, with its dynamically weighted feature alignment module, adaptively adjusts feature differences across different viewpoints, achieving feature alignment between drone and satellite images. Our method achieves state-of-the-art (SOTA) performance on two public datasets, University-1652 and SUES-200. In generalization experiments, our model outperforms existing SOTA methods, with an average improvement of 1.52% in R@1 and 2.09% in AP, demonstrating its effectiveness and strong generalization in cross-view geo-localization tasks.","url":"https://pubmed.ncbi.nlm.nih.gov/40732647/","authors":["Hou K","Tong Q","Yan N","Liu X","Hou S"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025 Jul 21","doi":"10.3390/s25144519","addedAt":"2026-08-31T06:40:02.533Z","updatedAt":"2026-08-31T06:40:02.533Z"},{"id":"pmid:40732634","name":"Alpine Meadow Fractional Vegetation Cover Estimation Using UAV-Aided Sentinel-2 Imagery.","source":"pubmed","abstract":"Fractional Vegetation Cover (FVC) is a crucial indicator describing vegetation conditions and provides essential data for ecosystem health assessments. However, due to the low and sparse vegetation in alpine meadows, it is challenging to obtain pure vegetation pixels from Sentinel-2 imagery, resulting in errors in the FVC estimation using traditional pixel dichotomy models. This study integrated Sentinel-2 imagery with unmanned aerial vehicle (UAV) data and utilized the pixel dichotomy model together with four machine learning algorithms, namely Random Forest (RF), Extreme Gradient Boosting (XGBoost), Light Gradient Boosting Machine (LightGBM), and Deep Neural Network (DNN), to estimate FVC in an alpine meadow region. First, FVC was preliminarily estimated using the pixel dichotomy model combined with nine vegetation indices applied to Sentinel-2 imagery. The performance of these estimates was evaluated against reference FVC values derived from centimeter-level UAV data. Subsequently, four machine learning models were employed for an accurate FVC inversion, using the estimated FVC values and UAV-derived reference FVC as inputs, following feature importance ranking and model parameter optimization. The results showed that: (1) Machine learning algorithms based on Sentinel-2 and UAV imagery effectively improved the accuracy of FVC estimation in alpine meadows. The DNN-based FVC estimation performed best, with a coefficient of determination of 0.82 and a root mean square error (RMSE) of 0.09. (2) In vegetation coverage estimation based on the pixel dichotomy model, different vegetation indices demonstrated varying performances across areas with different FVC levels. The GNDVI-based FVC achieved a higher accuracy (RMSE = 0.08) in high-vegetation coverage areas (FVC &gt; 0.7), while the NIRv-based FVC and the SR-based FVC performed better (RMSE = 0.10) in low-vegetation coverage areas (FVC &lt; 0.4). The method provided in this study can significantly enhance FVC estimation accuracy with limited fieldwork, contributing to alpine meadow monitoring on the Qinghai-Tibet Plateau.","url":"https://pubmed.ncbi.nlm.nih.gov/40732634/","authors":["Du K","Shao Y","Yao N","Yu H","Ma S","Mao X","Wang L","Wang J"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025 Jul 20","doi":"10.3390/s25144506","addedAt":"2026-08-31T06:40:02.533Z","updatedAt":"2026-08-31T06:40:02.533Z"},{"id":"pmid:40732524","name":"Dynamic Bearing-Angle for Vision-Based UAV Target Motion Analysis.","source":"pubmed","abstract":"The Bearing-Angle algorithm effectively improves the observability of vision-based motion estimation for moving targets by combining the dimensional information of target detection frames. However, the robustness of this algorithm will be significantly reduced when the observation error increases due to sudden changes in the target motion state. To address this shortcoming, this paper proposes a visual target motion estimation algorithm called the Dynamic Bearing-Angle, which aims to improve the accuracy and robustness of target motion analysis in dynamic scenarios such as unmanned aerial vehicle (UAV). The algorithm innovatively introduces a dual robustness mechanism of dynamic noise intensity adaptation and outlier suppression based on M-estimation. By adjusting the noise covariance matrix in real time and assigning low weights to the outlier observations using the Huber weight function, the Dynamic Bearing-Angle algorithm is able to effectively cope with non-Gaussian noise and sudden target maneuvers. We validate the performance of the proposed algorithm with numerical simulations and real sensor data, and the results show that the Dynamic Bearing-Angle maintains good robustness and accuracy under different noise intensities.","url":"https://pubmed.ncbi.nlm.nih.gov/40732524/","authors":["Luo Y","Fu H","Fu T","Cha H","Tian B","Tang H","Liu F"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025 Jul 14","doi":"10.3390/s25144396","addedAt":"2026-08-31T06:40:02.533Z","updatedAt":"2026-08-31T06:40:02.533Z"},{"id":"pmid:40732402","name":"Video Instance Segmentation Through Hierarchical Offset Compensation and Temporal Memory Update for UAV Aerial Images.","source":"pubmed","abstract":"Despite the pivotal role of unmanned aerial vehicles (UAVs) in intelligent inspection tasks, existing video instance segmentation methods struggle with irregular deforming targets, leading to inconsistent segmentation results due to ineffective feature offset capture and temporal correlation modeling. To address this issue, we propose a hierarchical offset compensation and temporal memory update method for video instance segmentation (HT-VIS) with a high generalization ability. Firstly, a hierarchical offset compensation (HOC) module in the form of a sequential and parallel connection is designed to perform deformable offset for the same flexible target across frames, which benefits from compensating for spatial motion features at the time sequence. Next, the temporal memory update (TMU) module is developed by employing convolutional long-short-term memory (ConvLSTM) between the current and adjacent frames to establish the temporal dynamic context correlation and update the current frame feature effectively. Finally, extensive experimental results demonstrate the superiority of the proposed HDNet method when applied to the public YouTubeVIS-2019 dataset and a self-built UAV-Seg segmentation dataset. On four typical datasets (i.e., Zoo, Street, Vehicle, and Sport) extracted from YoutubeVIS-2019 according to category characteristics, the proposed HT-VIS outperforms the state-of-the-art CNN-based VIS methods CrossVIS by 3.9%, 2.0%, 0.3%, and 3.8% in average segmentation accuracy, respectively. On the self-built UAV-VIS dataset, our HT-VIS with PHOC surpasses the baseline SipMask by 2.1% and achieves the highest average segmentation accuracy of 37.4% in the CNN-based methods, demonstrating the effectiveness and robustness of our proposed framework.","url":"https://pubmed.ncbi.nlm.nih.gov/40732402/","authors":["Huang Y","Zhang Y","He Z","Deng Y"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025 Jul 9","doi":"10.3390/s25144274","addedAt":"2026-08-31T06:40:02.533Z","updatedAt":"2026-08-31T06:40:02.533Z"},{"id":"pmid:40722903","name":"Exploring the Functional Properties of Leaves of Moringa oleifera Lam. Cultivated in Sicily Using Precision Agriculture Technologies for Potential Use as a Food Ingredient.","source":"pubmed","abstract":"This study aimed to evaluate the microbiological quality and functional properties of Moringa oleifera Lam. leaves from plants cultivated in Sicily, with the objective of exploring their potential use in functional food production. Precision agriculture techniques, including unmanned aerial vehicle-based multispectral remote sensing, were used to determine the optimal harvesting time for M. oleifera . After harvesting, leaves were dried using a smart solar dryer system based on a wireless sensor network and milled with a laboratory centrifugal mill to produce powdered M. oleifera leaves (PMOLs). Plate counts showed no colonies of undesired microorganisms in PMOLs. The MiSeq Illumina analysis revealed that the class Alphaproteobacteria was dominant (83.20% of Relative Abundance) among bacterial groups found in PMOLs. The hydroalcoholic extract from PMOLs exhibited strong redox-active properties in solution assays and provided antioxidant protection in a cell-based lipid peroxidation model (CAA 50 : 5.42 &#x3bc;g/mL). Additionally, it showed antiproliferative activity against three human tumour epithelial cell lines (HepG2, Caco-2, and MCF-7), with GI 50 values ranging from 121.03 to 237.75 &#x3bc;g/mL. The aromatic profile of PMOLs includes seven phytochemical groups: alcohols, aldehydes, ketones, esters, acids, terpenes, and hydrocarbons. The most representative compounds were terpenes (27.5%), ketones (25.3%), and alcohols (14.5%). Results suggest that PMOLs can serve as a natural additive for functional foods.","url":"https://pubmed.ncbi.nlm.nih.gov/40722903/","authors":["Greco C","Serio G","Viola E","Barbera M","Mammano MM","Orlando S","Franciosi E","Ciulla S","Alfonzo A","Schicchi R","Piazzese D","Gentile C","Settanni L","Mannino G","Gaglio R"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025 Jun 27","doi":"10.3390/antiox14070799","addedAt":"2026-08-31T06:40:02.533Z","updatedAt":"2026-08-31T06:40:02.533Z"},{"id":"pmid:40717114","name":"An improved numerical model for landslide-induced waves and its application to the Huangtian landslide in the XW reservoir, China.","source":"pubmed","abstract":"Landslides are one of the most common types of geological disasters. However, the waves generated by landslides often cause more severe damage than the landslides themselves. This paper proposes an improved numerical model for landslide-induced waves. The model's governing equations are derived from the equilibrium of forces acting on columns and principles of fluid dynamics. It can rapidly and effectively simulate the entire process of landslide-induced wave generation. Moreover, the model improves computational efficiency through the use of fixed computational cells, particularly in mountainous regions. The model was validated using a case study by Fern&#xe1;ndez-Nieto and then applied to simulate the Huangtian landslide-induced waves in the XW reservoir, China. The simulated landslide deposit closely matches the digital surface model obtained from unmanned aerial vehicle surveys. Simulated results showed a maximum wave height of 40.85&#xa0;m, a maximum run-up height on the opposite bank of 34.1&#xa0;m, and a wave height of 3.75&#xa0;m near the dam. The fixed computational cells, which accounted for approximately 22% of the total cells, led to a four-fold improvement in computational efficiency over a full grid approach. Even with the additional cost of the preliminary simulation, the overall method still achieved a 3.7-fold improvement in computational efficiency over a full grid approach.","url":"https://pubmed.ncbi.nlm.nih.gov/40717114/","authors":["Yue X","Dai F","Ke Z","Zhu J","Cheng W"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025 Jul 28","doi":"10.1038/s41598-025-11959-y","addedAt":"2026-08-31T06:40:02.533Z","updatedAt":"2026-08-31T06:40:02.533Z"},{"id":"pmid:40715264","name":"Drone hyperspectral imaging and artificial intelligence for monitoring moss and lichen in Antarctica.","source":"pubmed","abstract":"Uncrewed aerial vehicles (UAVs) have become essential for remote sensing in extreme environments like Antarctica, but detecting moss and lichen using conventional red, green, blue (RGB) and multispectral sensors remains challenging. This study investigates the potential of hyperspectral imaging (HSI) for mapping cryptogamic vegetation and presents a workflow combining UAVs, ground observations, and machine learning (ML) classifiers. Data collected during a 2023 summer expedition to Antarctic Specially Protected Area 135, East Antarctica, were used to evaluate 12 configurations derived from five ML models, including gradient boosting (XGBoost, CatBoost) and convolutional neural networks (CNNs) (G2C-Conv2D, G2C-Conv3D, and UNet), tested with full and light input feature sets. The results show that common indices like normalised difference vegetation index (NDVI) are inadequate for moss and lichen detection, while novel spectral indices are more effective. Full models achieved high performance, with CatBoost and UNet reaching 98.3% and 99.7% weighted average accuracy, respectively. Light models using eight key wavelengths (i.e., 404, 480, 560, 655, 678, 740, 888, and 920 nm) performed well, with CatBoost at 95.5% and UNet at 99.8%, demonstrating suitability for preliminary monitoring of moss health and lichen. These findings underscore the importance of key spectral bands for large-scale HSI monitoring using UAVs and satellites in Antarctica, especially in geographic regions with limited spectral range.","url":"https://pubmed.ncbi.nlm.nih.gov/40715264/","authors":["Sandino J","Barthelemy J","Doshi A","Randall K","Robinson SA","Bollard B","Gonzalez F"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025 Jul 26","doi":"10.1038/s41598-025-11535-4","addedAt":"2026-08-31T06:40:02.533Z","updatedAt":"2026-08-31T06:40:02.533Z"},{"id":"pmid:40715259","name":"Finite-time fault-tolerant tracking control for a QUAV with mixed faults and external disturbances based on adaptive global fast terminal sliding mode neural network control method.","source":"pubmed","abstract":"This paper addresses the finite-time tracking control problem for a class of quadrotor unmanned aerial vehicle (QUAV) subject to unknown mixed faults and external disturbances. The considered mixed faults include both input quantization and actuator faults. First, radial basis function neural networks (RBFNNs) are employed to approximate the unknown nonlinear dynamics of the QUAV system, with adaptive control laws designed for online weights updates. Second, since the neural network approximation errors and external disturbances can be treated as unknown but bounded constants, adaptive control laws are developed to estimate these parameters. Third, to address the design complexity caused by unknown control coefficients arising from mixed faults, a Nussbaum gain function is introduced. Subsequently, based on the designed global fast terminal sliding mode (GFTSM) functions, adaptive GFTSM neural network control strategies are proposed for position and attitude tracking control. Theoretical analysis confirms that these control strategies guarantee the QUAV system's position and attitude outputs converge to reference trajectories, with tracking errors reaching a very small neighborhood of zero within a finite time. Finally, the effectiveness of proposed control strategies is validated through an actual system.","url":"https://pubmed.ncbi.nlm.nih.gov/40715259/","authors":["Zhang X","Feng C","Zhou Y","Deng X"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025 Jul 26","doi":"10.1038/s41598-025-12110-7","addedAt":"2026-08-31T06:40:02.533Z","updatedAt":"2026-08-31T06:40:02.533Z"},{"id":"pmid:40713838","name":"Quantifying the severity of Marssonina blotch on apple leaves: development and validation of a novel spectral index.","source":"pubmed","abstract":"Apple Marssonina blotch (AMB) is a major disease causing pre-mature defoliation. The occurrence of AMB will lead to serious production decline and economic losses. The precise identification of AMB outbreaks and the measurement of its severity are essential for limiting the spread of the disease, yet this issue remains unaddressed to this day. Given these, we conducted experiments in Qian County, Shaanxi, China, to develop an Apple Marssonina Blotch Index (AMBI) based on hyperspectral imaging, aimed to quantify disease severity at the leaf scale and to monitor infection at the canopy scale. Based on the separability and combination of individual band, characteristic wavelengths were identified in green band, red edge band and near-infrared band to construct AMBI&#x2009;=&#x2009;(R 762nm - R 534nm )/(R 534nm + R 690nm ). The results demonstrated that AMBI exhibited high overall accuracies (R 2 &#x2009;=&#x2009;0.89, RMSE&#x2009;=&#x2009;9.67%) in estimating the disease ratio at the leaf scale compared to commonly used indices. At the canopy scale, AMBI enabled effective classification of healthy and diseased trees, yielding an overall accuracy (OA) of 89.09% and a Kappa coefficient of 0.78. Furthermore, analysis of unmanned aerial vehicle (UAV) acquired hyperspectral imagery using AMBI enabled the spatial mapping of diseased tree distribution, highlighting its potential as a scalable and timely tool for precision orchard disease surveillance.","url":"https://pubmed.ncbi.nlm.nih.gov/40713838/","authors":["Zhang W","Zhang C","Chen R","Xu B","Yang H","Feng H","Zhao D","Wu B","Zhao C","Yang G"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025 Jul 25","doi":"10.1186/s13007-025-01414-4","addedAt":"2026-08-31T06:40:02.533Z","updatedAt":"2026-08-31T06:40:02.533Z"},{"id":"pmid:40713010","name":"Assessing 3-D variability of ultrafine particle using a Geo-AI modelling approach: A case study in Zhunan-Miaoli, Taiwan.","source":"pubmed","abstract":"Previous air pollution modeling studies have predominantly emphasized horizontal distributions, overlooking the critical vertical variability of pollutant concentrations in urban environments. Therefore, the three-dimensional (3-D) behavior of air pollutants, and of ultrafine particulate matter (PM 0.1 ) in particular, is insufficiently characterized. This study examined the 3-D distribution of PM 0.1 in the Zhunan and Toufen regions in Miaoli, Taiwan. Using a hexacopter drone, PM 0.1 concentrations were measured at 12 locations, at altitudes of 40, 60, and 100&#xa0;m. A geospatial-artificial intelligence (Geo-AI) model was developed to estimate 3-D PM 0.1 concentrations, incorporating databases such as land use, meteorology, and 3-D building data as predictor variables. SHapley Additive exPlanations (SHAP) analysis for variable selection showed that key predictors were building height, temperature, carbon dioxide, nitric oxide, forest coverage and 3-D spatial distance from buildings. Five machine learning algorithms were used for modeling. Extreme Gradient Boosting Regressor (XGBR) achieved the best performance with a training R 2 of 0.98. The model's robustness was further examined through 10-fold cross-validation and stratified validation, which yielded R 2 values exceeding 0.85, indicating a strong ability to capture the spatial variation of PM 0.1 across different environmental conditions. These findings underscored the crucial role of vertical pollutant dispersion in urban environments and the need to incorporate detailed 3-D measurements into urban planning and public health policies.","url":"https://pubmed.ncbi.nlm.nih.gov/40713010/","authors":["Hsu CW","Chern YR","Su JJ","Wong PY","Asri AK","Wijaya C","Chen YC","Candice Lung SC","Hsiao TC","Teo TA","Shih YL","Wu CD"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025 Oct 15","doi":"10.1016/j.envpol.2025.126879","addedAt":"2026-08-31T06:40:02.533Z","updatedAt":"2026-08-31T06:40:02.533Z"},{"id":"pmid:40700025","name":"OrchardQuant-3D: combining drone and LiDAR to perform scalable 3D phenotyping for characterising key canopy and floral traits in fruit orchards.","source":"pubmed","abstract":"Orchard fruits such as pear and apple are important for ensuring global food security and agricultural economy as they not only provide essential nutrients, but also support biodiversity and ecosystem services. Breeders, growers and plant researchers constantly study desirable tree morphological features and floral characteristics to ensure fruit production and quality. Still, traditional orchard phenotyping is often laborious, limited in scale and prone-to-error, resulting in many attempts to develop reliable and scalable toolkits to address this challenge. Here, we present OrchardQuant-3D, an analytic pipeline for automating tree-level analysis of key canopy and floral traits for different types of fruit orchards. We first built a data fusion algorithm to register 3D point clouds collected by both drones (for colour signals) and Light Detection And Ranging (LiDAR, for precise spatial properties), reconstructing high-quality 3D orchard models at different growth stages. Then, we utilised precise global navigation satellite system signals to position trees in orchards with millimetre-level accuracy, enabling tree-level analysis of key canopy (e.g. crown volume and the number or branches) and floral traits (e.g. blossom clusters and volumes) using 3D computer vision, complex graph theory and feature engineering techniques. Equipped with the OrchardQuant-3D pipeline, we successfully measured varietal differences of four pear cultivars from a small pear orchard in Nanjing China, followed by a scale-up study that surveyed 3D tree morphologies, key floral and fruit traits from 1104 apple trees in an orchard in East Malling, United Kingdom. To the best of our knowledge, such a multi-source, comprehensive and expandable methodology has not yet been introduced to this important research domain. Hence, we believe that our work demonstrates a step change in our ability to conduct scalable 3D orchard phenotyping, which is highly valuable to advance orchard breeding, precise tree management and orchard research greatly to sustain fruit tree production in a rapidly changing climate.","url":"https://pubmed.ncbi.nlm.nih.gov/40700025/","authors":["Xia Y","Li H","Zhang F","Sun G","Qi K","Jackson R","Pinheiro F","Liu X","Mu Y","Zhang S","Deakin G","Whitfield EC","Tao S","Zhou J"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025 Nov","doi":"10.1111/pbi.70229","addedAt":"2026-08-31T06:40:02.533Z","updatedAt":"2026-08-31T06:40:02.533Z"},{"id":"pmid:40681440","name":"Secure trajectory planning for UAVs in dynamic target tracking against undetectable sensor and actuator attacks.","source":"pubmed","abstract":"This paper addresses the challenge of designing a secure flight trajectory for the unmanned aerial vehicle (UAV) in an adversarial environment. The main goal is to ensure the UAV can maintain the predetermined trajectory even when subjected to undetectable attacks on its sensors and actuators. First, the mathematical model of undetectable attacks is conducted, and the conditions under which these attacks cannot be jointly detected by the global positioning system (GPS) and the laser distance sensor (LDS) are specified. Then, the existence and implementation of secure flight trajectories for UAVs under undetectable attacks are explored. A strategy based on Pontryagin's Maximum Principle is proposed to plan a safe trajectory. This strategy ensures that UAVs can safely reach their destinations, even when facing undetectable attacks. Finally, the superiority and effectiveness of the proposed strategies are proven through numerical simulations and hardware-in-the-loop (HIL) experiments.","url":"https://pubmed.ncbi.nlm.nih.gov/40681440/","authors":["Yue W","Zhang X","Liu Z"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025 Nov","doi":"10.1016/j.isatra.2025.07.028","addedAt":"2026-08-31T06:40:02.533Z","updatedAt":"2026-08-31T06:40:02.533Z"},{"id":"pmid:40675896","name":"Immersion and invariance adaptive controller and mixer for coaxial tilt-rotor UAV.","source":"pubmed","abstract":"This study presents a motion control system for a coaxial tilt-rotor (CTR) unmanned aerial vehicle (UAV) equipped with two CTR modules and a tail rotor. The existing adaptive control strategies for CTRUAVs fail to guarantee the theoretical convergence of estimated parameters to their true values. Additionally, the existing mixer requires frequent and inefficient adjustments of the tilt angles for motion control. To address these issues, this work proposes a control strategy that integrates a robust integral of the sign of the error (RISE)-based immersion and invariance (I&amp;I) adaptive controller with segmented gains and an improved mixer. The RISE-based adaptive controller is theoretically capable of estimating and compensating for external disturbance torques and forces with bounded derivatives. Furthermore, a model of the CTR module that accounts for differences between the upper and lower rotors is introduced, and the proposed mixer is designed to realize efficient control at varying tilt angles of the CTR modules. Experimental results demonstrate that the proposed control scheme significantly improves stability, transient response speed, disturbance rejection performance, and parameter estimation accuracy compared to existing control strategies for the CTRUAV.","url":"https://pubmed.ncbi.nlm.nih.gov/40675896/","authors":["Chen L","Jia Y","Sun S","Lv Z","Wu Y"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025 Nov","doi":"10.1016/j.isatra.2025.07.015","addedAt":"2026-08-31T06:40:02.533Z","updatedAt":"2026-08-31T06:40:02.533Z"},{"id":"pmid:40664753","name":"Stratification of insect diversity and daily activity patterns in the West African virgin forest Taï assessed by entomological Lidar.","source":"pubmed","abstract":"Lidar technology was utilized to non-destructively explore the diverse insect life in the Ta&#xef; virgin forest of C&#xf4;te d'Ivoire. This study employed an entomological Lidar scanned at different elevation angles, combined with traditional insect trapping at different canopy heights, to investigate the composition and spatial-temporal distribution of insects within the forest canopy. We detected stratified patterns of insect activity at various canopy heights, revealing differences in the composition of Lidar signals reflecting divergent species composition with height and time-of-day, indicative of height-dependent insect biodiversity. The optical properties of captured insects, including wing specularity and polarimetric response, were analyzed and correlated with Lidar signals, revealing distinct insect clusters and activity patterns at different canopy heights. These findings show the potential of using Lidar to non-invasively assess insect diversity continuously across complex canopies to uncover species composition in ecosystems with high species diversity.","url":"https://pubmed.ncbi.nlm.nih.gov/40664753/","authors":["Månefjord H","Yamoa AS","Gbogbo YA","Müller L","Runemark A","Kouakou BK","Boateng R","Huzortey AA","Badu IK","Wahlberg N","Brydegaard M","Zoueu JT","Anderson B","Li M"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025 Jul 15","doi":"10.1038/s41598-025-05200-z","addedAt":"2026-08-31T06:40:02.533Z","updatedAt":"2026-08-31T06:40:02.533Z"},{"id":"pmid:40653406","name":"PPAC-Pilot: Prescribed-performance augmented control for fixed-wing autopilots.","source":"pubmed","abstract":"This study introduces a Prescribed-Performance Augmented Control (PPAC) framework designed for fixed-wing Unmanned Aerial Vehicle (UAV) autopilots. The PPAC strategy aims to enhance, rather than replace, existing PID control loops in open-source autopilots. Although traditional autopilots effectively manage routine tasks in most applications, their reliance on meticulous tuning remains a limitation. To address this, PPAC leverages historical flight data, a frequently overlooked resource, to derive dynamic linearization models and control laws without requiring explicit UAV models. The PPAC framework is then integrated with the Total Energy Control System (TECS) for practical deployment in takeoff and cruising scenarios. Comprehensive numerical simulations and Hardware-in-the-Loop (HIL) tests validate the strategy by comparing baseline autopilot performance with PPAC-augmented systems. Results confirm that PPAC ensures prescribed performance bounds for altitude tracking errors across evaluated scenarios, demonstrating its effectiveness in augmenting autopilots with minimized redesign efforts.","url":"https://pubmed.ncbi.nlm.nih.gov/40653406/","authors":["Tian Q","Wang Z","Hu T"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025 Oct","doi":"10.1016/j.isatra.2025.06.001","addedAt":"2026-08-31T06:40:02.533Z","updatedAt":"2026-08-31T06:40:02.533Z"},{"id":"pmid:40651987","name":"A crack detection and quantification method using matched filter and photograph reconstruction.","source":"pubmed","abstract":"Crack detection is a critical task for bridge maintenance and management. While popular deep learning algorithms have shown promise, their reliance on large, high-quality training datasets, which are often unavailable in engineering practice, limits their applicability. By contrast, traditional digital image processing methods offer low computational costs and strong interpretability, making continued research in this area highly valuable. This study proposes an automatic crack detection and quantification approach based on digital image processing combined with unmanned aerial vehicle (UAV) flight parameters. First, the characteristics of the bridge images collected by the UAVs were thoroughly analyzed. An enhanced matched-filter algorithm was designed to achieve crack segmentation. Morphological methods were employed to extract the skeletons of the segmented cracks, enabling the calculation of actual crack lengths. Finally, a 3D model was constructed by integrating the detection results with the image-shooting parameters. This 3D model, annotated with detected cracks, provides an intuitive and comprehensive representation of bridge damage, facilitating informed decision making in maintenance planning and resource allocation. To verify the accuracy of the enhanced matched filter algorithm, it was compared with other digital image processing methods on public datasets, achieving average results of 97.9% for Pixel Accuracy (PA), 72.5% for the F1-score, and 58.1% for Intersection over Union (Iou) across three typical sub-datasets. Moreover, the proposed methodologies were successfully applied to an arch bridge with an error of only 2%, thereby demonstrating their applicability to real-world scenarios.","url":"https://pubmed.ncbi.nlm.nih.gov/40651987/","authors":["Zhen-Liang L","An Z","Xin-Ru R","Yun-Peng W","Wei-Gang Z","Hao Z"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025 Jul 12","doi":"10.1038/s41598-025-08280-z","addedAt":"2026-08-31T06:40:02.533Z","updatedAt":"2026-08-31T06:40:02.533Z"},{"id":"pmid:40648480","name":"Restoring Anomalous Water Surface in DOM Product of UAV Remote Sensing Using Local Image Replacement.","source":"pubmed","abstract":"In the production of a digital orthophoto map (DOM) from unmanned aerial vehicle (UAV)-acquired overlapping images, some anomalies such as texture stretching or data holes frequently occur in water areas due to the lack of significant textural features. These anomalies seriously affect the visual quality and data integrity of the resulting DOMs. In this study, we attempted to eliminate the water surface anomalies in an example DOM via replacing the entire water area with an intact one that was clipped out from one single UAV image. The water surface scope and boundary in the image was first precisely achieved using the multisource seed filling algorithm and contour-finding algorithm. Next, the tie points were selected from the boundaries of the normal and anomalous water surfaces, and employed to realize their spatial alignment using affine plane coordinate transformation. Finally, the normal water surface was overlaid onto the DOM to replace the corresponding anomalous water surface. The restored water area had good visual effect in terms of spectral consistency, and the texture transition with the surrounding environment was also sufficiently natural. According to the standard deviations and mean values of RGB pixels, the quality of the restored DOM was greatly improved in comparison with the original one. These demonstrated that the proposed method had a sound performance in restoring abnormal water surfaces in a DOM, especially for scenarios where the water surface area is relatively small and can be contained in a single UAV image.","url":"https://pubmed.ncbi.nlm.nih.gov/40648480/","authors":["Wang C","Zhang T","Tao L","Lin J"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025 Jul 7","doi":"10.3390/s25134225","addedAt":"2026-08-31T06:40:02.533Z","updatedAt":"2026-08-31T06:40:02.533Z"},{"id":"pmid:40648327","name":"Rice Canopy Disease and Pest Identification Based on Improved YOLOv5 and UAV Images.","source":"pubmed","abstract":"Traditional monitoring methods rely on manual field surveys, which are subjective, inefficient, and unable to meet the demand for large-scale, rapid monitoring. By using unmanned aerial vehicles (UAVs) to capture high-resolution images of rice canopy diseases and pests, combined with deep learning (DL) techniques, accurate and timely identification of diseases and pests can be achieved. We propose a method for identifying rice canopy diseases and pests using an improved YOLOv5 model (YOLOv5_DWMix). By incorporating deep separable convolutions, the MixConv module, attention mechanisms, and optimized loss functions into the YOLOv5 backbone, the model's speed, feature extraction capability, and robustness are significantly enhanced. Additionally, to tackle the challenges posed by complex field environments and small datasets, image augmentation is employed to train the YOLOv5_DWMix model for the recognition of four common rice canopy diseases and pests. Results show that the improved YOLOv5 model achieves 95.6% average precision in detecting these diseases and pests, a 4.8% improvement over the original YOLOv5 model. The YOLOv5_DWMix model is effective and advanced in identifying rice diseases and pests, offering a solid foundation for large-scale, regional monitoring.","url":"https://pubmed.ncbi.nlm.nih.gov/40648327/","authors":["Zhao G","Lan Y","Zhang Y","Deng J"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025 Jun 30","doi":"10.3390/s25134072","addedAt":"2026-08-31T06:40:02.533Z","updatedAt":"2026-08-31T06:40:02.533Z"},{"id":"pmid:40648307","name":"UAVRM-A*: A Complex Network and 3D Radio Map-Based Algorithm for Optimizing Cellular-Connected UAV Path Planning.","source":"pubmed","abstract":"In recent research on path planning for cellular-connected Unmanned Aerial Vehicles (UAVs), leveraging navigation models based on complex networks and applying the A* algorithm has emerged as a promising alternative to more computationally intensive methods, such as deep reinforcement learning (DRL). These approaches offer performance that approaches that of DRL, while addressing key challenges like long training times and poor generalization. However, conventional A* algorithms fail to consider critical UAV flight characteristics and lack effective obstacle avoidance mechanisms. To address these limitations, this paper presents a novel solution for path planning of cellular-connected UAVs, utilizing a 3D radio map for enhanced situational awareness. We proposed an innovative path planning algorithm, UAVRM-A*, which builds upon the complex network navigation model and incorporates key improvements over traditional A*. Our experimental results demonstrate that the UAVRM-A* algorithm not only effectively avoids obstacles but also generates flight paths more consistent with UAV dynamics. Additionally, the proposed approach achieves performance comparable to DRL-based methods while significantly reducing radio outage duration and the computational time required for model training. This research contributes to the development of more efficient, reliable, and practical path planning solutions for UAVs, with potential applications in various fields, including autonomous delivery, surveillance, and emergency response operations.","url":"https://pubmed.ncbi.nlm.nih.gov/40648307/","authors":["Chai Y","Wang Y","Yang X","Im SK","He Q"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025 Jun 29","doi":"10.3390/s25134052","addedAt":"2026-08-31T06:40:02.533Z","updatedAt":"2026-08-31T06:40:02.533Z"},{"id":"pmid:40648301","name":"Exploring Multi-Channel GPS Receivers for Detecting Spoofing Attacks on UAVs Using Machine Learning.","source":"pubmed","abstract":"All current transportation systems (vehicles, trucks, planes, etc.) rely on the Global Positioning System (GPS) as their main navigation technology. GPS receivers collect signals from multiple satellites and are able to provide more or less accurate positioning. For civilian applications, GPS signals are sent without any encryption system. For this reason, they are vulnerable to various attacks, and the most prevalent one is known as GPS spoofing. The main consequence is the loss of position monitoring, which may increase damage risks in terms of crashes or hijacking. In this study, we focus on UAV (unmanned aerial vehicle) positioning attacks. We first review numerous techniques for detecting and mitigating GPS spoofing attacks, finding that various types of attacks may occur. In the literature, many studies have focused on only one type of attack. We believe that targeting the study of many attacks is crucial for developing efficient mitigation mechanisms. Thus, we have explored a well-known datasetcontaining authentic UAV signals along with spoofed signals (with three types of attacked signals). As a main contribution, we propose a more interpretable approach to exploit the dataset by extracting individual mission sequences, handling non-stationary features, and converting the GPS raw data into a simplified structured format. Then, we design tree-based machine learning algorithms, namely decision tree (DT), random forest (RF), and extreme gradient boosting (XGBoost), for the purpose of classifying signal types and to recognize spoofing attacks. Our main findings are as follows: (a) random forest has significant capability in detecting and classifying GPS spoofing attacks, outperforming the other models. (b) We have been able to detect most types of attacks and distinguish them.","url":"https://pubmed.ncbi.nlm.nih.gov/40648301/","authors":["Mouzai M","Riahla MA","Keziou A","Fouchal H"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025 Jun 28","doi":"10.3390/s25134045","addedAt":"2026-08-31T06:40:02.533Z","updatedAt":"2026-08-31T06:40:02.533Z"},{"id":"pmid:40647995","name":"UAV-Based Yield Prediction Based on LAI Estimation in Winter Wheat (Triticum aestivum L.) Under Different Nitrogen Fertilizer Types and Rates.","source":"pubmed","abstract":"The rapid and accurate prediction of crop yield and the construction of optimal yield prediction models are important for guiding field-scale agronomic management practices in precision agriculture. This study selected the leaf area index (LAI) of winter wheat ( Triticum aestivum L.) at four different stages, and collected canopy spectral information and extracted vegetation indexes through unmanned aerial vehicle (UAV) multi-spectral sensors to establish the yield prediction model under the condition of slow-release nitrogen fertilizer and proposed optimal fertilization strategies for sustainable yield increase in wheat. The prediction results were evaluated using random forest (RF), support vector machine (SVM) and back propagation neural network (BPNN) methods to select the optimal spectral index and establish yield prediction models. The results showed that LAI has a significantly positive correlation with yield across four growth stages of winter wheat, and the correlation coefficient at the anthesis stage reached 0.96 in 2018-2019 and 0.83 in 2019-2020. Therefore, yield prediction for winter wheat could be achieved through a remote sensing estimation of LAI at the anthesis stage. Six vegetation indexes calculated from UAV-derived reflectance data were modeled against LAI, demonstrating that the red-edge vegetation index (CI red edge ) achieved superior accuracy in estimating LAI for winter wheat yield prediction. RF, SVM and BPNN models were used to evaluate the accuracy and precision of CI red edge in predicting yield, respectively. It was found that RF outperformed both SVM and BPNN in predicting yield accuracy. The CI red edge of the anthesis stage was the best vegetation index and stage for estimating yield of winter wheat based on UAV remote sensing. Under different N application rates, both predicted and measured yields exhibited a consistent trend that followed the order of SRF (slow-release N fertilizer) &gt; SRFU1 (mixed TU and SRF at a ratio of 2:8) &gt; SRFU2 (mixed TU and SRF at a ratio of 3:7) &gt; TU (traditional urea). The optimum N fertilizer rate and N fertilizer type for winter wheat in this study were 220 kg ha -1 and SRF, respectively. The results of this study will provide significant technical support for regional crop growth monitoring and yield prediction.","url":"https://pubmed.ncbi.nlm.nih.gov/40647995/","authors":["Guo J","Zeng X","Ma Q","Yuan Y","Zhang N","Lin Z","Yin P","Yang H","Liu X","Zhang F"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025 Jun 29","doi":"10.3390/plants14131986","addedAt":"2026-08-31T06:40:02.533Z","updatedAt":"2026-08-31T06:40:02.533Z"},{"id":"doi:10.5281/zenodo.17192781","name":"Dataset for: Soliton Gas Dynamics and Rogue Wave Enhancement in a Natural Coastal Environment","source":"datacite","abstract":"This repository contains the dataset reported in the article \"Soliton Gas Dynamics and Rogue Wave Enhancement in a Natural Coastal Environment\" by Cienfuegos et al. (2025), https://doi.org/10.1103/9zhq-j1sj The dataset contains:•⁠ ⁠Bottom-moored pressure signals (and velocities in the case of the ADVs)•⁠ ⁠Fixed camera recording•⁠ ⁠Unmanned aerial vehicle videos•⁠ ⁠Animation from the Serre-Green-Naghdi numerical experiment They are detailed next. # Bottom-moored pressure signals •⁠ ⁠RawData.zip : contains the raw dataset from the instruments•⁠ ⁠ReadPressureSensors.m: Matlab script to read the dataset as used in the manuscript•⁠ ⁠FSReconstruction.m: Matlab script to reconstruct the free surface elevation (ie water depth) from the pressure data as described in the manuscript # Fixed camera recording Footage from August 2nd, 2023, 10:00 hours.•⁠ ⁠20230802-1000.mp4 Rectified footage from August 2nd, 2023, 10 hours.•⁠ ⁠20230802-1000.mp4 Footage from August 2nd, 2023, 10:22 hours.•⁠ ⁠20230802-1022.mp4 Rectified footage from August 2nd, 2023, 10:22 hours.•⁠ ⁠20230802-1022-rect.mp4 # Unmanned aerial vehicle videos Tidal flood August 1st 2023, 10 hrs:•⁠ ⁠DJI_0250.mp4 Tidal flood August 2nd 2023, 10 hrs (footage used in the article):•⁠ ⁠DJI_0001.mp4 Stable and rectified video for the tidal flood of August 2nd 2023, 10 hrs (accelerated 12 times):•⁠ ⁠rect_video_12x.mp4 Uncompressed UAV videos are available upon request. # Animation from the Serre-Green-Naghdi numerical simulation •⁠ ⁠SGNsimulation.mp4","url":"https://doi.org/10.5281/zenodo.17192781","authors":["Cienfuegos, Rodrigo","Catalan, Patricio","Flores, Raul P.","Guerra, Maricarmen","Galaz Mora, José","Magaña, Efraín","Lucero, Felipe"],"tags":["Infragravity waves","soliton gas","rogue waves","Intermittently Open/Closed Estuaries"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.17192781","addedAt":"2026-08-31T06:40:02.533Z","updatedAt":"2026-08-31T06:40:02.533Z"},{"id":"doi:10.48550/arxiv.2509.22668","name":"Semantic-Aware Edge Intelligence for UAV Handover in 6G Networks","source":"datacite","abstract":"6G wireless networks aim to exploit semantic awareness to optimize radio resources. By optimizing the transmission through the lens of the desired goal, the energy consumption of transmissions can also be reduced, and the latency can be improved. To that end, this paper investigates a paradigm in which the capabilities of generative AI (GenAI) on the edge are harnessed for network optimization. In particular, we investigate an Unmanned Aerial Vehicle (UAV) handover framework that takes advantage of GenAI and semantic communication to maintain reliable connectivity. To that end, we propose a framework in which a lightweight MobileBERT language model, fine-tuned using Low-Rank Adaptation (LoRA), is deployed on the UAV. This model processes multi-attribute flight and radio measurements and performs multi-label classification to determine appropriate handover action. Concurrently, the model identifies an appropriate set of contextual \"Reason Tags\" that elucidate the decision's rationale. Our model, evaluated on a rule-based synthetic dataset of UAV handover scenarios, demonstrates the model's high efficacy in learning these rules, achieving high accuracy in predicting the primary handover decision. The model also shows strong performance in identifying supporting reasons, with an F1 micro-score of approximately 0.9 for reason tags.","url":"https://doi.org/10.48550/arxiv.2509.22668","authors":["Al-Hameed, Aubida A.","Qazzaz, Mohammed M. H.","Hafeez, Maryam","Zaidi, Syed A."],"tags":["Systems and Control (eess.SY)","Machine Learning (cs.LG)","Networking and Internet Architecture (cs.NI)","FOS: Electrical engineering, electronic engineering, information engineering","FOS: Electrical engineering, electronic engineering, information engineering","FOS: Computer and information sciences","FOS: Computer and information sciences"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.48550/arxiv.2509.22668","addedAt":"2026-08-31T06:40:02.533Z","updatedAt":"2026-08-31T06:40:02.533Z"},{"id":"doi:10.48550/arxiv.2509.21405","name":"Object Identification Under Known Dynamics: A PIRNN Approach for UAV Classification","source":"datacite","abstract":"This work addresses object identification under known dynamics in unmanned aerial vehicle applications, where learning and classification are combined through a physics-informed residual neural network. The proposed framework leverages physics-informed learning for state mapping and state-derivative prediction, while a softmax layer enables multi-class confidence estimation. Quadcopter, fixed-wing, and helicopter aerial vehicles are considered as case studies. The results demonstrate high classification accuracy with reduced training time, offering a promising solution for system identification problems in domains where the underlying dynamics are well understood.","url":"https://doi.org/10.48550/arxiv.2509.21405","authors":["Aung, Nyi Nyi","Muralles, Neil","Stein, Adrian"],"tags":["Machine Learning (cs.LG)","Robotics (cs.RO)","FOS: Computer and information sciences","FOS: Computer and information sciences"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.48550/arxiv.2509.21405","addedAt":"2026-08-31T06:40:02.533Z","updatedAt":"2026-08-31T06:40:02.533Z"},{"id":"doi:10.5281/zenodo.17101991","name":"RL-based Trajectory Optimization of UAV-enabled Joint Communication, Sensing and Power Transfer","source":"datacite","abstract":"In this work, an integrated communication, sensing and power transfer (ICSPT) system is investigated, which is assisted by the employment of an unmanned aerial vehicle (UAV) acting as a base station. Under this system, the optimization of the UAV trajectory is studied for limited battery lifetime, so that the weighted sensing signal-to-noise ratio (SNR), communication SNR and harvested power is maximized subject to the service area and flight duration constraints. A general and flexible theoretical framework is proposed for the solution of the formulated optimization problem, based on tools from reinforcement learning (RL), that models the considered ICSPT system as a Markov decision process (MDP). In order to solve the developed MDP, a novel model-free algorithm is provided based on the Q-learning method. We show, through numerical simulation results, the validity of the proposed framework and its superiority compared to other benchmark scenarios that consider a fixed UAV trajectory or random UAV movements.","url":"https://doi.org/10.5281/zenodo.17101991","authors":["Nicolaides, Andreas","Psomas, Constantinos","Krikidis, Ioannis"],"tags":["Integrated communication-sensing-power transfer","unmanned aerial vehicle","reinforcement learning","Markov decision process","optimization"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.17101991","addedAt":"2026-08-31T06:40:02.533Z","updatedAt":"2026-08-31T06:40:02.533Z"},{"id":"doi:10.5281/zenodo.17101992","name":"RL-based Trajectory Optimization of UAV-enabled Joint Communication, Sensing and Power Transfer","source":"datacite","abstract":"In this work, an integrated communication, sensing and power transfer (ICSPT) system is investigated, which is assisted by the employment of an unmanned aerial vehicle (UAV) acting as a base station. Under this system, the optimization of the UAV trajectory is studied for limited battery lifetime, so that the weighted sensing signal-to-noise ratio (SNR), communication SNR and harvested power is maximized subject to the service area and flight duration constraints. A general and flexible theoretical framework is proposed for the solution of the formulated optimization problem, based on tools from reinforcement learning (RL), that models the considered ICSPT system as a Markov decision process (MDP). In order to solve the developed MDP, a novel model-free algorithm is provided based on the Q-learning method. We show, through numerical simulation results, the validity of the proposed framework and its superiority compared to other benchmark scenarios that consider a fixed UAV trajectory or random UAV movements.","url":"https://doi.org/10.5281/zenodo.17101992","authors":["Nicolaides, Andreas","Psomas, Constantinos","Krikidis, Ioannis"],"tags":["Integrated communication-sensing-power transfer","unmanned aerial vehicle","reinforcement learning","Markov decision process","optimization"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.17101992","addedAt":"2026-08-31T06:40:02.533Z","updatedAt":"2026-08-31T06:40:02.533Z"},{"id":"doi:10.57760/sciencedb.j00104.00103","name":"An open flame and smoke detection dataset for deep learning in remote sensing based fire detection","source":"datacite","abstract":"FASDD is a largest and most generalized Flame And Smoke Detection Dataset for object detection tasks, characterized by the utmost complexity in fire scenes, the highest heterogeneity in feature distribution, and the most significant variations in image size and shape. FASDD serves as a benchmark for developing advanced fire detection models, which can be deployed on watchtowers, drones, or satellites in a space-air-ground integrated observation network for collaborative fire warning. This endeavor provides valuable insights for government decision-making and fire rescue operations. FASDD contains fire, smoke, and confusing non-fire/non-smoke images acquired at different distances (near and far), different scenes (indoor and outdoor), different light intensities (day and night), and from various visual sensors (surveillance cameras, UAVs, and satellites). FASDD consists of three sub-datasets, a Computer Vision (CV) dataset (i.e. FASDD_CV), a Unmanned Aerial Vehicle (UAV) dataset (i.e. FASDD_UAV), and an Remote Sensing (RS) dataset (i.e. FASDD_RS). FASDD comprises 122,634 samples, with 70,581 annotated as positive samples and 52,073 labeled as negative samples. There are 113,154 instances of flame objects and 73,072 instances of smoke objects in the entire dataset. FASDD_CV contains 95,314 samples for general computer vision, while FASDD_UAV consists of 25,097 samples captured by UAV, and FASDD_RS comprises 2,223 samples from satellite imagery. FASDD_CV contains 73,297 fire instances and 53,080 smoke instances. The CV dataset exhibits considerable variation in image size, ranging from 78 to 10,600 pixels in width and 68 to 8,858 pixels in height. The aspect ratios of the images also vary significantly, ranging from 1:6.6 to 1:0.18. FASDD_UAV contains 36,308 fire instances and 17,222 smoke instances, with image aspect ratios primarily distributed between 4:3 and 16:9. In FASDD_RS, there are 2,770 smoke instances and 3,549 flame instances. The sizes of remote sensing images are predominantly around 1,000×1,000 pixels.FASDD is provided in three compressed files: FASDD_CV.zip, FASDD_UAV.zip, and FASDD_RS.zip, which correspond to the CV dataset, the UAV dataset, and the RS dataset, respectively. Additionally, there is a FASDD_RS_SWIR. zip folder storing pseudo-color images for detecting flame objects in remote sensing imagery. Each zip file contains two folders: \"images\" for storing the source data and \"annotations\" for storing the labels. The \"annotations\" folder consists of label files in four formats: YOLO, VOC, COCO, and TDML. The dataset is divided randomly into training, validation, and test sets, with a ratio of 1/2, 1/3, and 1/6, respectively, within each label format. In FASDD_CV, FASDD_UAV, and FASDD_RS, images and their corresponding annotation files have been individually sorted starting from 0. The flame and smoke objects in FASDD are given the labels \"fire\" and \"smoke\" for the object detection task, respectively. The names of all images and annotation files are prefixed with \"Fire\", \"Smoke\", \"FireAndSmoke\", and \"NeitherFireNorSmoke\", representing different categories for scene classification tasks.When using this dataset, please cite the following paper. Thank you very much for your support and cooperation：################################################################################使用数据集请引用对应论文，非常感谢您的关注和支持：Wang, M., Yue, P., Jiang, L., Yu, D., Tuo, T., &amp; Li, J. (2025). An open flame and smoke detection dataset for deep learning in remote sensing based fire detection. Geo-spatial Information Science, 28(2), 511-526.################################################################################","url":"https://doi.org/10.57760/sciencedb.j00104.00103","authors":["Wang, Ming","Yue, Peng","Liangcun Jiang","Dayu Yu","Tianyu Tuo"],"tags":["Computer science and technology","Environmental science and resources science and technology","Surveying and mapping science and technology","Aerospace science and technology","fire dataset benchmark","space-air-ground integration","remote sensing fire detection","object detection"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.57760/sciencedb.j00104.00103","addedAt":"2026-08-31T06:40:02.533Z","updatedAt":"2026-08-31T06:40:02.533Z"},{"id":"doi:10.48550/arxiv.2509.04412","name":"Relative Localization of UAV Swarms in GNSS-Denied Conditions","source":"datacite","abstract":"Relative localization of unmanned aerial vehicle (UAV) swarms in global navigation satellite system (GNSS) denied environments is essential for emergency rescue and battlefield reconnaissance. Existing methods suffer from significant localization errors among UAVs due to packet loss and high computational complexity in large swarms. This paper proposes a clustering-based framework where the UAVs simultaneously use communication signals for channel estimation and ranging. Firstly, the spectral clustering is utilized to divide the UAV swarm into different sub-clusters, where matrix completion and multidimensional scaling yield high-precision relative coordinates. Subsequently, a global map is created by the inter-cluster anchor fusion. A case study of UAV integrated communication and sensing (ISAC) system is presented, where the Orthogonal Time Frequency Space (OTFS) is adopted for ranging and communication. Experimental results show that the proposed method reduces localization errors in large swarms and loss of range information. It also explores the impact of signal parameters on communication and localization, highlighting the interplay between communication and localization performance.","url":"https://doi.org/10.48550/arxiv.2509.04412","authors":["Lei, Guangyu","Ping, Yuqi","Liang, Tianhao","Ding, Huahao","Zhang, Tingting"],"tags":["Signal Processing (eess.SP)","Systems and Control (eess.SY)","FOS: Electrical engineering, electronic engineering, information engineering","FOS: Electrical engineering, electronic engineering, information engineering","H.4.3","Primary 93C85, Secondary 68T42, 94A12, 90C90"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.48550/arxiv.2509.04412","addedAt":"2026-08-31T06:40:02.533Z","updatedAt":"2026-08-31T06:40:02.533Z"},{"id":"doi:10.48550/arxiv.2509.04136","name":"Design of RIS-UAV-Assisted LEO Satellite Constellation Communication","source":"datacite","abstract":"Low Earth orbit (LEO) satellite constellations play a pivotal role in sixth-generation (6G) wireless networks by providing global coverage, massive connections, and huge capacity. In this paper, we present a novel LEO satellite constellation communication framework, where a reconfigurable intelligent surface-mounted unmanned aerial vehicle (RIS-UAV) is deployed to improve the communication quality of multiple terrestrial user equipments (UEs) under the condition of long distance between satellite and ground. To reduce the overhead for channel state information (CSI) acquisition with multiple-satellite collaboration, statistical CSI (sCSI) is utilized in the system. In such a situation, we first derive an approximated but exact expression for ergodic rate of each UE. Then, we aim to maximize the minimum approximated UE ergodic rate by the proposed alternating optimization (AO)-based algorithm that jointly optimizes LEO satellite beamforming, RIS phase shift, and UAV trajectory. Finally, extensive simulations are conducted to demonstrate the superiority of the proposed algorithm in terms of spectrum efficiency over baseline algorithms.","url":"https://doi.org/10.48550/arxiv.2509.04136","authors":["Yao, Wenfei","Chen, Xiaoming","Wang, Qi","Peng, Xingyu"],"tags":["Information Theory (cs.IT)","FOS: Computer and information sciences","FOS: Computer and information sciences"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.48550/arxiv.2509.04136","addedAt":"2026-08-31T06:40:02.533Z","updatedAt":"2026-08-31T06:40:02.533Z"},{"id":"doi:10.5281/zenodo.16995331","name":"UAV Underwater Drones network traffic statistics","source":"datacite","abstract":"Dataset: UAV and Underwater Drone Network Anomaly Dataset (NTNU and SINTEF) Overview This dataset contains real time operational telemetry and network traces from the Trondheim Fjord region in Norway. Data originates from long running campaigns conducted by the Marine Cybernetics Laboratory at the Norwegian University of Science and Technology and the SINTEF Ocean Research Center. Platforms include autonomous underwater vehicles, remotely operated vehicles, unmanned aerial vehicle relays, coastal buoys, and a shoreside gateway. The collection spans February 2022 to March 2025 and reflects real world marine communication where acoustic, radio frequency, and satellite links operate together. The public release is anonymized and standardized for research in anomaly detection, graph and temporal modeling, and privacy aware federated learning. Sensitive identifiers were removed in line with Norwegian maritime governance and European Union GDPR requirements. What is included File format Comma separated values file with header One row per client per timestamp Time zone naive timestamps in ISO 8601 format Temporal coverage Start: 2022 02 01 End: 2025 03 31 Sampling interval: thirty minutes in this release Note: the file name may reference ten minute cadence from earlier internal builds. The current artifact uses thirty minute cadence. Participants and roles Ten nodes total across the fleet configuration: three autonomous underwater vehicles, two remotely operated vehicles, two unmanned aerial vehicles, two coastal buoys, one gateway. Column count Total columns: 113 General identifiers: 4 Feature columns: 97 Multi label targets: 12 Schema and feature groups Field names match column headers exactly. General timestamp, client_id, role, mission_id Network and transport pkt_tx, pkt_rx, pkt_drop, pkt_retx throughput_up_kbps, throughput_down_kbps latency_avg_ms, latency_p95_ms, latency_jitter_ms rtt_avg_ms, rto_events syn_cnt, fin_cnt, rst_cnt udp_flows, tcp_flows, flow_churn_rate payload_entropy, header_anomaly_score routing_updates, route_changes, ttl_avg queue_len_avg, queue_drop_rate Link layer and physical channel mac_tx_fail_rate, collision_rate snr_db, ber, bler tx_power_dbm, rx_power_dbm channel_utilization_percent, cs_busy_time_ms freq_shift_hz, multipath_delay_ms Underwater environment sound_speed_mps, absorption_coef_dbkm ambient_noise_db, shipping_noise_db, sea_state thermocline_depth_m, water_temp_c, salinity_psu, turbidity_ntu UAV relay and backhaul uav_link_rssi_dbm, uav_link_snr_db, uav_link_latency_ms handover_events, uav_backhaul_type uav_altitude_m, uav_speed_ms, uav_heading_deg uav_relay_duty_percent, uav_link_uptime_percent Kinematics and platform health depth_m, pitch_deg, roll_deg, yaw_deg speed_ms, accel_rms, turn_rate_dps prop_rpm, thruster_load_percent imu_health_flag, nav_mode Energy and thermal battery_soc_percent, battery_voltage_v, battery_temp_c, energy_draw_w cpu_util_percent, mem_util_percent, gpu_util_percent board_temp_c, thermal_throttle_events Security telemetry port_scan_hits, syn_flood_score, frag_anomaly_score dns_req_rate, dns_nxdom_rate arp_spoof_score, mac_spoof_score auth_failures, cert_errors, ids_alerts_count, ml_ids_score Topology and context neighbors_count, link_changes, gw_hops path_stability_score, link_distance_m, uav_distance_m, mission_phase Derived temporal indicators latency_trend, throughput_cv, pkt_drop_trend snr_min_last5, rtt_ema, anomaly_ewma Labels Multi label targets for twelve conditions. A value of one indicates presence at the timestamp, otherwise zero. Normal, Latency_Anomaly, PacketLoss_Anomaly, Throughput_Degradation, Jitter_Anomaly, Jamming_Attack, Spoofing_Attack, Replay_Attack, Routing_Blackhole, Channel_Distortion, Sensor_Fault, Energy_Fault","url":"https://doi.org/10.5281/zenodo.16995331","authors":["Norwegian University of Science and Technology"],"tags":["Drones Anomaly detection"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.16995331","addedAt":"2026-08-31T06:40:02.533Z","updatedAt":"2026-08-31T06:40:02.533Z"},{"id":"doi:10.5281/zenodo.16995332","name":"UAV Underwater Drones network traffic statistics","source":"datacite","abstract":"Dataset: UAV and Underwater Drone Network Anomaly Dataset (NTNU and SINTEF) Overview This dataset contains real time operational telemetry and network traces from the Trondheim Fjord region in Norway. Data originates from long running campaigns conducted by the Marine Cybernetics Laboratory at the Norwegian University of Science and Technology and the SINTEF Ocean Research Center. Platforms include autonomous underwater vehicles, remotely operated vehicles, unmanned aerial vehicle relays, coastal buoys, and a shoreside gateway. The collection spans February 2022 to March 2025 and reflects real world marine communication where acoustic, radio frequency, and satellite links operate together. The public release is anonymized and standardized for research in anomaly detection, graph and temporal modeling, and privacy aware federated learning. Sensitive identifiers were removed in line with Norwegian maritime governance and European Union GDPR requirements. What is included File format Comma separated values file with header One row per client per timestamp Time zone naive timestamps in ISO 8601 format Temporal coverage Start: 2022 02 01 End: 2025 03 31 Sampling interval: thirty minutes in this release Note: the file name may reference ten minute cadence from earlier internal builds. The current artifact uses thirty minute cadence. Participants and roles Ten nodes total across the fleet configuration: three autonomous underwater vehicles, two remotely operated vehicles, two unmanned aerial vehicles, two coastal buoys, one gateway. Column count Total columns: 113 General identifiers: 4 Feature columns: 97 Multi label targets: 12 Schema and feature groups Field names match column headers exactly. General timestamp, client_id, role, mission_id Network and transport pkt_tx, pkt_rx, pkt_drop, pkt_retx throughput_up_kbps, throughput_down_kbps latency_avg_ms, latency_p95_ms, latency_jitter_ms rtt_avg_ms, rto_events syn_cnt, fin_cnt, rst_cnt udp_flows, tcp_flows, flow_churn_rate payload_entropy, header_anomaly_score routing_updates, route_changes, ttl_avg queue_len_avg, queue_drop_rate Link layer and physical channel mac_tx_fail_rate, collision_rate snr_db, ber, bler tx_power_dbm, rx_power_dbm channel_utilization_percent, cs_busy_time_ms freq_shift_hz, multipath_delay_ms Underwater environment sound_speed_mps, absorption_coef_dbkm ambient_noise_db, shipping_noise_db, sea_state thermocline_depth_m, water_temp_c, salinity_psu, turbidity_ntu UAV relay and backhaul uav_link_rssi_dbm, uav_link_snr_db, uav_link_latency_ms handover_events, uav_backhaul_type uav_altitude_m, uav_speed_ms, uav_heading_deg uav_relay_duty_percent, uav_link_uptime_percent Kinematics and platform health depth_m, pitch_deg, roll_deg, yaw_deg speed_ms, accel_rms, turn_rate_dps prop_rpm, thruster_load_percent imu_health_flag, nav_mode Energy and thermal battery_soc_percent, battery_voltage_v, battery_temp_c, energy_draw_w cpu_util_percent, mem_util_percent, gpu_util_percent board_temp_c, thermal_throttle_events Security telemetry port_scan_hits, syn_flood_score, frag_anomaly_score dns_req_rate, dns_nxdom_rate arp_spoof_score, mac_spoof_score auth_failures, cert_errors, ids_alerts_count, ml_ids_score Topology and context neighbors_count, link_changes, gw_hops path_stability_score, link_distance_m, uav_distance_m, mission_phase Derived temporal indicators latency_trend, throughput_cv, pkt_drop_trend snr_min_last5, rtt_ema, anomaly_ewma Labels Multi label targets for twelve conditions. A value of one indicates presence at the timestamp, otherwise zero. Normal, Latency_Anomaly, PacketLoss_Anomaly, Throughput_Degradation, Jitter_Anomaly, Jamming_Attack, Spoofing_Attack, Replay_Attack, Routing_Blackhole, Channel_Distortion, Sensor_Fault, Energy_Fault","url":"https://doi.org/10.5281/zenodo.16995332","authors":["Norwegian University of Science and Technology"],"tags":["Drones Anomaly detection"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.16995332","addedAt":"2026-08-31T06:40:02.533Z","updatedAt":"2026-08-31T06:40:02.533Z"},{"id":"doi:10.5281/zenodo.16968861","name":"FIGURE 2 in High local variability in elevation of the Oldman-Dinosaur Park Formation contact revealed by digital outcrop reconstruction, and implications for dinosaur biostratigraphy of the Late Cretaceous (Campanian) Belly River Group of Alberta, Canada","source":"datacite","abstract":"FIGURE 2. Overview of unmanned aerial vehicle (UAV) structure-from-motion (SfM) photogrammetry process leading to creation of digital outcrop model (DOM), digital elevation model (DEM) and orthomosaic of Bonebed 190 Amphitheatre area; survey area 0.446 km2. A, UAV camera locations and image overlap obtained from Agisoft Metashape processing report: colour palette indicates number of overlapping images per grid cell. B, UAV camera location error estimates along flight paths obtained from Agisoft Metashape processing report: Z error represented by ellipse colour; X, Y errors represented by ellipse shape; estimated camera locations marked with black dot. C, perspective render of dense 3-D point cloud generated from UAV image alignment followed by geolocation optimization with ground control points (GCPs, marked with flags). Image dataset combined from 2021 and 2022 flights; 2022 images (including some taken at 45˚ pitch angle) cover well-exposed Oldman-Dinosaur Park Formation contact. D, orthographic render of dense 3-D point cloud coloured by point confidence; blue represents highest point confidence, as seen on the outcrop photographed at oblique angles (see Figure 2C). E, DEM with GCP locations, significant fossil quarries and measured Oldman-Dinosaur Park Formation contacts. Coordinates in WGS84 / Universal Transverse Mercator zone 12N, EGM96 geoid. Quarry and formational contact locations available from database assembled by first author, updated from Currie and Koppelhus (2005). Black crosses mark start and end points of main stratigraphic section measured during 2022 field season. F, inset of image captured during 2021 flight at low elevation over BB190 host horizon; note GCP made of two white Jacob's staffs (GCP 21_3 in Figure 2E).","url":"https://doi.org/10.5281/zenodo.16968861","authors":["Demers-Potvin, Alexandre V.","Larsson, Hans C.E."],"tags":["Biodiversity","Taxonomy"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.16968861","addedAt":"2026-08-31T06:40:02.533Z","updatedAt":"2026-08-31T06:40:02.533Z"},{"id":"doi:10.5281/zenodo.16968862","name":"FIGURE 2 in High local variability in elevation of the Oldman-Dinosaur Park Formation contact revealed by digital outcrop reconstruction, and implications for dinosaur biostratigraphy of the Late Cretaceous (Campanian) Belly River Group of Alberta, Canada","source":"datacite","abstract":"FIGURE 2. Overview of unmanned aerial vehicle (UAV) structure-from-motion (SfM) photogrammetry process leading to creation of digital outcrop model (DOM), digital elevation model (DEM) and orthomosaic of Bonebed 190 Amphitheatre area; survey area 0.446 km2. A, UAV camera locations and image overlap obtained from Agisoft Metashape processing report: colour palette indicates number of overlapping images per grid cell. B, UAV camera location error estimates along flight paths obtained from Agisoft Metashape processing report: Z error represented by ellipse colour; X, Y errors represented by ellipse shape; estimated camera locations marked with black dot. C, perspective render of dense 3-D point cloud generated from UAV image alignment followed by geolocation optimization with ground control points (GCPs, marked with flags). Image dataset combined from 2021 and 2022 flights; 2022 images (including some taken at 45˚ pitch angle) cover well-exposed Oldman-Dinosaur Park Formation contact. D, orthographic render of dense 3-D point cloud coloured by point confidence; blue represents highest point confidence, as seen on the outcrop photographed at oblique angles (see Figure 2C). E, DEM with GCP locations, significant fossil quarries and measured Oldman-Dinosaur Park Formation contacts. Coordinates in WGS84 / Universal Transverse Mercator zone 12N, EGM96 geoid. Quarry and formational contact locations available from database assembled by first author, updated from Currie and Koppelhus (2005). Black crosses mark start and end points of main stratigraphic section measured during 2022 field season. F, inset of image captured during 2021 flight at low elevation over BB190 host horizon; note GCP made of two white Jacob's staffs (GCP 21_3 in Figure 2E).","url":"https://doi.org/10.5281/zenodo.16968862","authors":["Demers-Potvin, Alexandre V.","Larsson, Hans C.E."],"tags":["Biodiversity","Taxonomy"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.16968862","addedAt":"2026-08-31T06:40:02.533Z","updatedAt":"2026-08-31T06:40:02.533Z"},{"id":"doi:10.48550/arxiv.2508.00261","name":"Energy Efficient Trajectory Control and Resource Allocation in Multi-UAV-assisted MEC via Deep Reinforcement Learning","source":"datacite","abstract":"Mobile edge computing (MEC) is a promising technique to improve the computational capacity of smart devices (SDs) in Internet of Things (IoT). However, the performance of MEC is restricted due to its fixed location and limited service scope. Hence, we investigate an unmanned aerial vehicle (UAV)-assisted MEC system, where multiple UAVs are dispatched and each UAV can simultaneously provide computing service for multiple SDs. To improve the performance of system, we formulated a UAV-based trajectory control and resource allocation multi-objective optimization problem (TCRAMOP) to simultaneously maximize the offloading number of UAVs and minimize total offloading delay and total energy consumption of UAVs by optimizing the flight paths of UAVs as well as the computing resource allocated to served SDs. Then, consider that the solution of TCRAMOP requires continuous decision-making and the system is dynamic, we propose an enhanced deep reinforcement learning (DRL) algorithm, namely, distributed proximal policy optimization with imitation learning (DPPOIL). This algorithm incorporates the generative adversarial imitation learning technique to improve the policy performance. Simulation results demonstrate the effectiveness of our proposed DPPOIL and prove that the learned strategy of DPPOIL is better compared with other baseline methods.","url":"https://doi.org/10.48550/arxiv.2508.00261","authors":["Liu, Saichao","Sun, Geng","Zhang, Chuang","Liu, Xuejie","Wang, Jiacheng","Zhao, Changyuan","Niyato, Dusit"],"tags":["Networking and Internet Architecture (cs.NI)","Signal Processing (eess.SP)","FOS: Computer and information sciences","FOS: Computer and information sciences","FOS: Electrical engineering, electronic engineering, information engineering","FOS: Electrical engineering, electronic engineering, information engineering"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.48550/arxiv.2508.00261","addedAt":"2026-08-31T06:40:02.533Z","updatedAt":"2026-08-31T06:40:02.533Z"},{"id":"doi:10.48550/arxiv.2505.16912","name":"UAV See, UGV Do: Aerial Imagery and Virtual Teach Enabling Zero-Shot Ground Vehicle Repeat","source":"datacite","abstract":"This paper presents Virtual Teach and Repeat (VirT&amp;R): an extension of the Teach and Repeat (T&amp;R) framework that enables GPS-denied, zero-shot autonomous ground vehicle navigation in untraversed environments. VirT&amp;R leverages aerial imagery captured for a target environment to train a Neural Radiance Field (NeRF) model so that dense point clouds and photo-textured meshes can be extracted. The NeRF mesh is used to create a high-fidelity simulation of the environment for piloting an unmanned ground vehicle (UGV) to virtually define a desired path. The mission can then be executed in the actual target environment by using NeRF-generated point cloud submaps associated along the path and an existing LiDAR Teach and Repeat (LT&amp;R) framework. We benchmark the repeatability of VirT&amp;R on over 12 km of autonomous driving data using physical markings that allow a sim-to-real lateral path-tracking error to be obtained and compared with LT&amp;R. VirT&amp;R achieved measured root mean squared errors (RMSE) of 19.5 cm and 18.4 cm in two different environments, which are slightly less than one tire width (24 cm) on the robot used for testing, and respective maximum errors were 39.4 cm and 47.6 cm. This was done using only the NeRF-derived teach map, demonstrating that VirT&amp;R has similar closed-loop path-tracking performance to LT&amp;R but does not require a human to manually teach the path to the UGV in the actual environment.","url":"https://doi.org/10.48550/arxiv.2505.16912","authors":["Fisker, Desiree","Krawciw, Alexander","Lilge, Sven","Greeff, Melissa","Barfoot, Timothy D."],"tags":["Robotics (cs.RO)","FOS: Computer and information sciences","FOS: Computer and information sciences"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.48550/arxiv.2505.16912","addedAt":"2026-08-31T06:40:02.533Z","updatedAt":"2026-08-31T06:40:02.533Z"},{"id":"doi:10.48550/arxiv.2507.22412","name":"UAVScenes: A Multi-Modal Dataset for UAVs","source":"datacite","abstract":"Multi-modal perception is essential for unmanned aerial vehicle (UAV) operations, as it enables a comprehensive understanding of the UAVs' surrounding environment. However, most existing multi-modal UAV datasets are primarily biased toward localization and 3D reconstruction tasks, or only support map-level semantic segmentation due to the lack of frame-wise annotations for both camera images and LiDAR point clouds. This limitation prevents them from being used for high-level scene understanding tasks. To address this gap and advance multi-modal UAV perception, we introduce UAVScenes, a large-scale dataset designed to benchmark various tasks across both 2D and 3D modalities. Our benchmark dataset is built upon the well-calibrated multi-modal UAV dataset MARS-LVIG, originally developed only for simultaneous localization and mapping (SLAM). We enhance this dataset by providing manually labeled semantic annotations for both frame-wise images and LiDAR point clouds, along with accurate 6-degree-of-freedom (6-DoF) poses. These additions enable a wide range of UAV perception tasks, including segmentation, depth estimation, 6-DoF localization, place recognition, and novel view synthesis (NVS). Our dataset is available at https://github.com/sijieaaa/UAVScenes","url":"https://doi.org/10.48550/arxiv.2507.22412","authors":["Wang, Sijie","Li, Siqi","Zhang, Yawei","Yu, Shangshu","Yuan, Shenghai","She, Rui","Guo, Quanjiang","Zheng, JinXuan","Howe, Ong Kang","Chandra, Leonrich","Srijeyan, Shrivarshann","Sivadas, Aditya","Aggarwal, Toshan","Liu, Heyuan","Zhang, Hongming","Chen, Chujie","Jiang, Junyu","Xie, Lihua","Tay, Wee Peng"],"tags":["Computer Vision and Pattern Recognition (cs.CV)","FOS: Computer and information sciences","FOS: Computer and information sciences"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.48550/arxiv.2507.22412","addedAt":"2026-08-31T06:40:02.533Z","updatedAt":"2026-08-31T06:40:02.533Z"},{"id":"doi:10.48550/arxiv.2506.18264","name":"Learning Approach to Efficient Vision-based Active Tracking of a Flying Target by an Unmanned Aerial Vehicle","source":"datacite","abstract":"Autonomous tracking of flying aerial objects has important civilian and defense applications, ranging from search and rescue to counter-unmanned aerial systems (counter-UAS). Ground based tracking requires setting up infrastructure, could be range limited, and may not be feasible in remote areas, crowded cities or in dense vegetation areas. Vision based active tracking of aerial objects from another airborne vehicle, e.g., a chaser unmanned aerial vehicle (UAV), promises to fill this important gap, along with serving aerial coordination use cases. Vision-based active tracking by a UAV entails solving two coupled problems: 1) compute-efficient and accurate (target) object detection and target state estimation; and 2) maneuver decisions to ensure that the target remains in the field of view in the future time-steps and favorably positioned for continued detection. As a solution to the first problem, this paper presents a novel integration of standard deep learning based architectures with Kernelized Correlation Filter (KCF) to achieve compute-efficient object detection without compromising accuracy, unlike standalone learning or filtering approaches. The proposed perception framework is validated using a lab-scale setup. For the second problem, to obviate the linearity assumptions and background variations limiting effectiveness of the traditional controllers, we present the use of reinforcement learning to train a neuro-controller for fast computation of velocity maneuvers. New state space, action space and reward formulations are developed for this purpose, and training is performed in simulation using AirSim. The trained model is also tested in AirSim with respect to complex target maneuvers, and is found to outperform a baseline PID control in terms of tracking up-time and average distance maintained (from the target) during tracking.","url":"https://doi.org/10.48550/arxiv.2506.18264","authors":["Pothuri, Jagadeswara PKV","Bhatt, Aditya","KrisshnaKumar, Prajit","Oddiraju, Manaswin","Chowdhury, Souma"],"tags":["Robotics (cs.RO)","FOS: Computer and information sciences","FOS: Computer and information sciences"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.48550/arxiv.2506.18264","addedAt":"2026-08-31T06:40:02.533Z","updatedAt":"2026-08-31T06:40:02.533Z"},{"id":"doi:10.5281/zenodo.16459930","name":"Translating DNCM Intelligence to Silicon: A Practical Hardware Framework for Reinforcement-Based Energy Optimization","source":"datacite","abstract":"This paper presents the first modular hardware implementation of the Deep Neural Control Module (DNCM), a unified AI framework for energy optimization in autonomous power systems. Building upon the DNCM model’s foundation in multi-head transformer inference and reinforcement learning-based control, we propose a resource-aware architecture using university-accessible embedded platforms—Jetson Nano, Artix-7 FPGA, and STM32F4. The implementation enables real-time control, voltage balancing, and fault-resilient adaptation in UAVs, space microgrids, and terrestrial smart grids. Our design leverages a 4-layer PCB with isolated power planes and differential signal routing, communicating over UART, I2C, SPI, and MQTT protocols. Case studies demonstrate up to 34% reduction in control latency and 24% improvement in power balancing, despite limited access to aerospace-grade components. Compared to existing AI control systems, the DNCM hardware stack offers a scalable, low-latency, explainable, and upgradable solution. This work bridges the gap between deep learning control theory and deployable embedded intelligence for mission-critical energy systems.","url":"https://doi.org/10.5281/zenodo.16459930","authors":["ZAIDI, ADNAN HAIDER"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.16459930","addedAt":"2026-08-31T06:40:02.533Z","updatedAt":"2026-08-31T06:40:02.533Z"},{"id":"doi:10.5281/zenodo.16459929","name":"Translating DNCM Intelligence to Silicon: A Practical Hardware Framework for Reinforcement-Based Energy Optimization","source":"datacite","abstract":"This paper presents the first modular hardware implementation of the Deep Neural Control Module (DNCM), a unified AI framework for energy optimization in autonomous power systems. Building upon the DNCM model’s foundation in multi-head transformer inference and reinforcement learning-based control, we propose a resource-aware architecture using university-accessible embedded platforms—Jetson Nano, Artix-7 FPGA, and STM32F4. The implementation enables real-time control, voltage balancing, and fault-resilient adaptation in UAVs, space microgrids, and terrestrial smart grids. Our design leverages a 4-layer PCB with isolated power planes and differential signal routing, communicating over UART, I2C, SPI, and MQTT protocols. Case studies demonstrate up to 34% reduction in control latency and 24% improvement in power balancing, despite limited access to aerospace-grade components. Compared to existing AI control systems, the DNCM hardware stack offers a scalable, low-latency, explainable, and upgradable solution. This work bridges the gap between deep learning control theory and deployable embedded intelligence for mission-critical energy systems.","url":"https://doi.org/10.5281/zenodo.16459929","authors":["ZAIDI, ADNAN HAIDER"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.16459929","addedAt":"2026-08-31T06:40:02.533Z","updatedAt":"2026-08-31T06:40:02.533Z"},{"id":"doi:10.48550/arxiv.2505.23782","name":"4,500 Seconds: Small Data Training Approaches for Deep UAV Audio Classification","source":"datacite","abstract":"Unmanned aerial vehicle (UAV) usage is expected to surge in the coming decade, raising the need for heightened security measures to prevent airspace violations and security threats. This study investigates deep learning approaches to UAV classification focusing on the key issue of data scarcity. To investigate this we opted to train the models using a total of 4,500 seconds of audio samples, evenly distributed across a 9-class dataset. We leveraged parameter efficient fine-tuning (PEFT) and data augmentations to mitigate the data scarcity. This paper implements and compares the use of convolutional neural networks (CNNs) and attention-based transformers. Our results show that, CNNs outperform transformers by 1-2\\% accuracy, while still being more computationally efficient. These early findings, however, point to potential in using transformers models; suggesting that with more data and further optimizations they could outperform CNNs. Future works aims to upscale the dataset to better understand the trade-offs between these approaches.","url":"https://doi.org/10.48550/arxiv.2505.23782","authors":["Berg, Andrew P.","Zhang, Qian","Wang, Mia Y."],"tags":["Sound (cs.SD)","Artificial Intelligence (cs.AI)","Audio and Speech Processing (eess.AS)","FOS: Computer and information sciences","FOS: Computer and information sciences","FOS: Electrical engineering, electronic engineering, information engineering","FOS: Electrical engineering, electronic engineering, information engineering"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.48550/arxiv.2505.23782","addedAt":"2026-08-31T06:40:02.533Z","updatedAt":"2026-08-31T06:40:02.533Z"},{"id":"doi:10.48550/arxiv.2507.12087","name":"YOLOv8-SMOT: An Efficient and Robust Framework for Real-Time Small Object Tracking via Slice-Assisted Training and Adaptive Association","source":"datacite","abstract":"Tracking small, agile multi-objects (SMOT), such as birds, from an Unmanned Aerial Vehicle (UAV) perspective is a highly challenging computer vision task. The difficulty stems from three main sources: the extreme scarcity of target appearance features, the complex motion entanglement caused by the combined dynamics of the camera and the targets themselves, and the frequent occlusions and identity ambiguity arising from dense flocking behavior. This paper details our championship-winning solution in the MVA 2025 \"Finding Birds\" Small Multi-Object Tracking Challenge (SMOT4SB), which adopts the tracking-by-detection paradigm with targeted innovations at both the detection and association levels. On the detection side, we propose a systematic training enhancement framework named \\textbf{SliceTrain}. This framework, through the synergy of 'deterministic full-coverage slicing' and 'slice-level stochastic augmentation, effectively addresses the problem of insufficient learning for small objects in high-resolution image training. On the tracking side, we designed a robust tracker that is completely independent of appearance information. By integrating a \\textbf{motion direction maintenance (EMA)} mechanism and an \\textbf{adaptive similarity metric} combining \\textbf{bounding box expansion and distance penalty} into the OC-SORT framework, our tracker can stably handle irregular motion and maintain target identities. Our method achieves state-of-the-art performance on the SMOT4SB public test set, reaching an SO-HOTA score of \\textbf{55.205}, which fully validates the effectiveness and advancement of our framework in solving complex real-world SMOT problems. The source code will be made available at https://github.com/Salvatore-Love/YOLOv8-SMOT.","url":"https://doi.org/10.48550/arxiv.2507.12087","authors":["Yu, Xiang","Liu, Xinyao","Liang, Guang"],"tags":["Computer Vision and Pattern Recognition (cs.CV)","FOS: Computer and information sciences","FOS: Computer and information sciences"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.48550/arxiv.2507.12087","addedAt":"2026-08-31T06:40:02.533Z","updatedAt":"2026-08-31T06:40:02.533Z"},{"id":"doi:10.5281/zenodo.15825291","name":"AI-Enabled Wind Power Logistics through Modular Narrative Expression","source":"datacite","abstract":"標題 模組化敘事下的AI風電物流 Title AI-Enabled Wind Power Logistics through Modular Narrative Expression 書籍介紹 本書從風力發電廠的物流挑戰出發,以個人自創的模組化敘事表達(Modular Narrative Expression)探討如何透過多無人機(UAV)系統強化災害應變能力,進而提升整體基礎建設的韌性與永續性。隨著再生能源需求日增,風電場面臨的維運壓力也日益複雜。本書進一步引入人工智慧(AI)參與決策鏈,讓 AI 不僅協助規劃無人機巡檢與調度策略,更能在極端天氣下預測風場受損風險、優化資源分配、主動發出應變建議。透過模擬案例驗證,AI 介入後的無人機協作模式,不但提升物流作業效率,更大幅縮短災難應變時間,使風電設施具備動態調度與自我學習的能力。模組化敘事AI-UAV 的雙重技術融合,將是未來風力能源邁向智慧化與災害復原力的關鍵組合。 AbstractThis book begins with the logistical challenges faced by wind power plants and, through the author's self-developed framework of Modular Narrative Expression, explores how multi-Unmanned Aerial Vehicle (UAV) systems can enhance disaster response capabilities, thereby improving the overall resilience and sustainability of energy infrastructure. As the demand for renewable energy continues to grow, the operational and maintenance pressure on wind farms becomes increasingly complex. This book further introduces Artificial Intelligence (AI) into the decision-making chain, allowing AI not only to assist in UAV inspection planning and dispatch strategies, but also to predict wind farm damage risks under extreme weather, optimize resource allocation, and proactively issue response recommendations. Through simulation-based case validation, the AI-enabled UAV collaboration model is shown to improve logistical efficiency and significantly reduce emergency response times, enabling wind power facilities to achieve dynamic coordination and self-learning capabilities. The dual integration of modular narrative, AI, and UAVs represents a crucial combination for the future of intelligent and disaster-resilient wind energy systems. 關鍵詞(Keywords) 模組化敘事表達(Modular Narrative Expression), 風力發電物流(Wind Power Logistics), 災害應變(Disaster Response), 人工智慧(Artificial Intelligence), 智慧風場(Smart Wind Farms), 能源韌性(Energy Resilience), AI決策系統(AI Decision Systems), 極端氣候預測(Extreme Weather Prediction), UAV協作模式(UAV Collaboration Models), 再生能源管理(Renewable Energy Management) 章節架構 第一章 模組化敘事表達(Modular Narrative Expression)視角下的風電物流挑戰 第二章 無人機部署與災害應變策略 第三章 AI 參與下的智慧決策與風險預測 第四章 模擬驗證與未來智慧能源展望 Table of Contents Chapter 1: Wind Power Logistics Challenges from the Perspective of Modular Narrative Expression Chapter 2: UAV Deployment and Disaster Response Strategies Chapter 3: Intelligent Decision-Making and Risk Prediction with AI Integration Chapter 4: Simulation Validation and Future Outlook on Smart Energy Systems 在閱讀本書之前,建議先參閱本系列先前已發表的 50 本著作與一本學術期刊(連結附於下方),其全數作品皆從最平凡的敘事者出發,目標是讓任何一位普通人皆能跨越學科疆界、教育體制、身份侷限,實現屬於自己的跨域敘事履歷。 透過高階視角的敘事研究方法,每位讀者皆可完成屬於自己的學習歷程、反思軌跡、探索實作、公開發表,最終走向自主巔峰。 本書不談落點分析,因為弱點訓練出來的腦,永遠臣服於數字的幻術。 我們也不再等待推薦入學、考試分數、學歷認證、天資加分或家境優勢。 我們相信,通往頂峰,只需一句話開啟:「我,決定開始!」 Before diving into this book, readers are encouraged to explore the 50 previously published volumes in this series and one peer-reviewed journal (links below). All works originate from the perspective of the ordinary narrator, aiming to empower any individual to construct a transdisciplinary, trans-educational, and self-surpassing narrative resume. Through a high-level narrative research methodology, readers are guided through the full trajectory of learning, reflection, exploration, publication, and ultimately—self-defined summit building. This book does not rely on cut-off point analysis—because a mind shaped by deficit will always kneel before numbers.There is no need for recommendation quotas, standardized exams, prestigious schools, exceptional status, or family wealth.Reaching the top begins with a single declaration: “I’m ready.” 1. Chen, G. (2025). You can publish: Narrquest and global distribution (If you're reading this, now is the time—your knowledge deserves to be seen and shared) (1st ed.). Narrative Observation Lab (narrquest.org). https://doi.org/10.5281/zenodo.15765719 2. Chen, G. (2025). You can patent your narrative: How storytelling becomes a platform, a protocol, and a patent (1st ed.). Narrative Observation Lab (narrquest.org). https://doi.org/10.5281/zenodo.15819526 3. Chen, G.","url":"https://doi.org/10.5281/zenodo.15825291","authors":["Chen, Gabriel"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.15825291","addedAt":"2026-08-31T06:40:02.533Z","updatedAt":"2026-08-31T06:40:02.533Z"},{"id":"doi:10.5281/zenodo.15825292","name":"AI-Enabled Wind Power Logistics through Modular Narrative Expression","source":"datacite","abstract":"標題 模組化敘事下的AI風電物流 Title AI-Enabled Wind Power Logistics through Modular Narrative Expression 書籍介紹 本書從風力發電廠的物流挑戰出發,以個人自創的模組化敘事表達(Modular Narrative Expression)探討如何透過多無人機(UAV)系統強化災害應變能力,進而提升整體基礎建設的韌性與永續性。隨著再生能源需求日增,風電場面臨的維運壓力也日益複雜。本書進一步引入人工智慧(AI)參與決策鏈,讓 AI 不僅協助規劃無人機巡檢與調度策略,更能在極端天氣下預測風場受損風險、優化資源分配、主動發出應變建議。透過模擬案例驗證,AI 介入後的無人機協作模式,不但提升物流作業效率,更大幅縮短災難應變時間,使風電設施具備動態調度與自我學習的能力。模組化敘事AI-UAV 的雙重技術融合,將是未來風力能源邁向智慧化與災害復原力的關鍵組合。 AbstractThis book begins with the logistical challenges faced by wind power plants and, through the author's self-developed framework of Modular Narrative Expression, explores how multi-Unmanned Aerial Vehicle (UAV) systems can enhance disaster response capabilities, thereby improving the overall resilience and sustainability of energy infrastructure. As the demand for renewable energy continues to grow, the operational and maintenance pressure on wind farms becomes increasingly complex. This book further introduces Artificial Intelligence (AI) into the decision-making chain, allowing AI not only to assist in UAV inspection planning and dispatch strategies, but also to predict wind farm damage risks under extreme weather, optimize resource allocation, and proactively issue response recommendations. Through simulation-based case validation, the AI-enabled UAV collaboration model is shown to improve logistical efficiency and significantly reduce emergency response times, enabling wind power facilities to achieve dynamic coordination and self-learning capabilities. The dual integration of modular narrative, AI, and UAVs represents a crucial combination for the future of intelligent and disaster-resilient wind energy systems. 關鍵詞(Keywords) 模組化敘事表達(Modular Narrative Expression), 風力發電物流(Wind Power Logistics), 災害應變(Disaster Response), 人工智慧(Artificial Intelligence), 智慧風場(Smart Wind Farms), 能源韌性(Energy Resilience), AI決策系統(AI Decision Systems), 極端氣候預測(Extreme Weather Prediction), UAV協作模式(UAV Collaboration Models), 再生能源管理(Renewable Energy Management) 章節架構 第一章 模組化敘事表達(Modular Narrative Expression)視角下的風電物流挑戰 第二章 無人機部署與災害應變策略 第三章 AI 參與下的智慧決策與風險預測 第四章 模擬驗證與未來智慧能源展望 Table of Contents Chapter 1: Wind Power Logistics Challenges from the Perspective of Modular Narrative Expression Chapter 2: UAV Deployment and Disaster Response Strategies Chapter 3: Intelligent Decision-Making and Risk Prediction with AI Integration Chapter 4: Simulation Validation and Future Outlook on Smart Energy Systems 在閱讀本書之前,建議先參閱本系列先前已發表的 50 本著作與一本學術期刊(連結附於下方),其全數作品皆從最平凡的敘事者出發,目標是讓任何一位普通人皆能跨越學科疆界、教育體制、身份侷限,實現屬於自己的跨域敘事履歷。 透過高階視角的敘事研究方法,每位讀者皆可完成屬於自己的學習歷程、反思軌跡、探索實作、公開發表,最終走向自主巔峰。 本書不談落點分析,因為弱點訓練出來的腦,永遠臣服於數字的幻術。 我們也不再等待推薦入學、考試分數、學歷認證、天資加分或家境優勢。 我們相信,通往頂峰,只需一句話開啟:「我,決定開始!」 Before diving into this book, readers are encouraged to explore the 50 previously published volumes in this series and one peer-reviewed journal (links below). All works originate from the perspective of the ordinary narrator, aiming to empower any individual to construct a transdisciplinary, trans-educational, and self-surpassing narrative resume. Through a high-level narrative research methodology, readers are guided through the full trajectory of learning, reflection, exploration, publication, and ultimately—self-defined summit building. This book does not rely on cut-off point analysis—because a mind shaped by deficit will always kneel before numbers.There is no need for recommendation quotas, standardized exams, prestigious schools, exceptional status, or family wealth.Reaching the top begins with a single declaration: “I’m ready.” 1. Chen, G. (2025). You can publish: Narrquest and global distribution (If you're reading this, now is the time—your knowledge deserves to be seen and shared) (1st ed.). Narrative Observation Lab (narrquest.org). https://doi.org/10.5281/zenodo.15765719 2. Chen, G. (2025). You can patent your narrative: How storytelling becomes a platform, a protocol, and a patent (1st ed.). Narrative Observation Lab (narrquest.org). https://doi.org/10.5281/zenodo.15819526 3. Chen, G.","url":"https://doi.org/10.5281/zenodo.15825292","authors":["Chen, Gabriel"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.15825292","addedAt":"2026-08-31T06:40:02.533Z","updatedAt":"2026-08-31T06:40:02.533Z"},{"id":"doi:10.4121/8b78a204-e41e-4ec3-ae5d-dbb8df7f8922.v1","name":"Wind tunnel test dataset of a tilt-rotor tailsitter focusing on wing-propeller interaction","source":"datacite","abstract":"This wind tunnel data set was collected at OJF in TU Delft. This dateset records the static measured aerodynamic forces and moments of a customized tilt-rotor tailsitter at all angles of attack for different rotor tilt angle, thrust throttle, elevon defletion, airspeed and angle of attack, and also includes data recorded during a realtime dynamic moment trim test. This data set should be valuable for the research on tailsitters, especially the impact of wing-propeller interaction.","url":"https://doi.org/10.4121/8b78a204-e41e-4ec3-ae5d-dbb8df7f8922.v1","authors":["Ma, Ziqing","Smeur, Ewoud"],"tags":["Aerospace Engineering","FOS: Mechanical engineering","Engineering","tailsitter UAVs","wing-propeller interaction","wind tunnel data","Unmanned Aerial Vehicle (UAV)","Aerodynamics"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.4121/8b78a204-e41e-4ec3-ae5d-dbb8df7f8922.v1","addedAt":"2026-08-31T06:40:02.533Z","updatedAt":"2026-08-31T06:40:02.533Z"},{"id":"doi:10.4121/8b78a204-e41e-4ec3-ae5d-dbb8df7f8922","name":"Wind tunnel test dataset of a tilt-rotor tailsitter focusing on wing-propeller interaction","source":"datacite","abstract":"This wind tunnel data set was collected at OJF in TU Delft. This dateset records the static measured aerodynamic forces and moments of a customized tilt-rotor tailsitter at all angles of attack for different rotor tilt angle, thrust throttle, elevon defletion, airspeed and angle of attack, and also includes data recorded during a realtime dynamic moment trim test. This data set should be valuable for the research on tailsitters, especially the impact of wing-propeller interaction.","url":"https://doi.org/10.4121/8b78a204-e41e-4ec3-ae5d-dbb8df7f8922","authors":["Ma, Ziqing","Smeur, Ewoud"],"tags":["Aerospace Engineering","FOS: Mechanical engineering","Engineering","tailsitter UAVs","wing-propeller interaction","wind tunnel data","Unmanned Aerial Vehicle (UAV)","Aerodynamics"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.4121/8b78a204-e41e-4ec3-ae5d-dbb8df7f8922","addedAt":"2026-08-31T06:40:02.533Z","updatedAt":"2026-08-31T06:40:02.533Z"},{"id":"doi:10.4121/00c545c3-4fe3-4a1f-b918-20f430231fb6.v1","name":"Test Data on the Equivalence of Sensory and Incremental Nonlinear Dynamic Inversion","source":"datacite","abstract":"This dataset accompanies the paper titled \"On the Equivalence of Sensory and Incremental Nonlinear Dynamic Inversion\" (paper is under review). It includes flight test data, simulation data, post-processing scripts. The Sensory Incremental Nonlinear Dynamic Inversion (sNDI) is compared to the more conventional Incremental Nonlinear Dynamic Inversion (INDI) control law. The dataset contains simulation and real outdoor testing data validating sNDI for a Vertical Take-Off and Landing platform.","url":"https://doi.org/10.4121/00c545c3-4fe3-4a1f-b918-20f430231fb6.v1","authors":["De Ponti, Tomaso","Hafner, Simon Franz","Smeur, Ewoud"],"tags":["Aerospace Engineering","FOS: Mechanical engineering","Engineering","Incremental Nonlinear Dynamic Inversion","Sensory Incremental Nonlinear Dynamic Inversion","Vertical Take-Off and Landing","Unmanned Aerial Vehicle (UAV)","Time: From 01/01/2025 to 01/08/2025"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.4121/00c545c3-4fe3-4a1f-b918-20f430231fb6.v1","addedAt":"2026-08-31T06:40:02.533Z","updatedAt":"2026-08-31T06:40:02.533Z"},{"id":"doi:10.4121/00c545c3-4fe3-4a1f-b918-20f430231fb6","name":"Test Data on the Equivalence of Sensory and Incremental Nonlinear Dynamic Inversion","source":"datacite","abstract":"This dataset accompanies the paper titled \"On the Equivalence of Sensory and Incremental Nonlinear Dynamic Inversion\" (paper is under review). It includes flight test data, simulation data, post-processing scripts. The Sensory Incremental Nonlinear Dynamic Inversion (sNDI) is compared to the more conventional Incremental Nonlinear Dynamic Inversion (INDI) control law. The dataset contains simulation and real outdoor testing data validating sNDI for a Vertical Take-Off and Landing platform.","url":"https://doi.org/10.4121/00c545c3-4fe3-4a1f-b918-20f430231fb6","authors":["De Ponti, Tomaso","Hafner, Simon Franz","Smeur, Ewoud"],"tags":["Aerospace Engineering","FOS: Mechanical engineering","Engineering","Incremental Nonlinear Dynamic Inversion","Sensory Incremental Nonlinear Dynamic Inversion","Vertical Take-Off and Landing","Unmanned Aerial Vehicle (UAV)","Time: From 01/01/2025 to 01/08/2025"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.4121/00c545c3-4fe3-4a1f-b918-20f430231fb6","addedAt":"2026-08-31T06:40:02.533Z","updatedAt":"2026-08-31T06:40:02.533Z"},{"id":"doi:10.5281/zenodo.15845070","name":"Aerial images collected by an Unmanned Aerial Vehicle in La-Saline, Réunion - 2025-05-16","source":"datacite","abstract":"This dataset was collected by an Unmanned Aerial Vehicle in La-Saline, Réunion - 2025-05-16. Underwater or aerial images collected by scientists or citizens can have a wide variety of use for science, management, or conservation. These images can be annotated and shared to train IA models which can in turn predict the objects on the images. We provide a set of tools (hardware and software) to collect marine data, predict species or habitat, and provide maps. This dataset is part of larger collection referencing numerous underwater and aerial images Seatizen Altas. Methods, tools and scientific objectives are also described in a dedicated data paper. Survey information Camera: Hasselblad L1D-20c Number of images: 539 Total size: 4.73 Gb Flight start: 2025:05:16 05:10:53 Flight end: 2025:05:16 05:30:21 Flight duration: 0h 19min 28sec Median height: 59.9 m Area covered: 10.95 a Photogrammetry OpenDroneMap software was used to create an orthophoto from the raw images. Here is the list of parameters different from the default values for the orthophoto generation. For more details, you can read the log.json file or the 000_photogrammatry_report.pdf report. {'auto_boundary': True, 'cog': True, 'fast_orthophoto': True, 'feature_quality': 'ultra', 'max_concurrency': 128, 'optimize_disk_space': True, 'orthophoto_resolution': 1.0, 'rolling_shutter': True, 'skip_3dmodel': True} Generic folder structure YYYYMMDD_COUNTRYCODE-optionalplace_device_session-number ├── DCIM : folder to store videos and photos depending on the media collected. ├── GPS : folder to store any positioning related file. If any kind of correction is possible on files (e.g. Post-Processed Kinematic thanks to rinex data) then the distinction between device data and base data is made. If, on the other hand, only device position data are present and the files cannot be corrected by post-processing techniques (e.g. gpx files), then the distinction between base and device is not made and the files are placed directly at the root of the GPS folder. │ ├── BASE : files coming from rtk station or any static positioning instrument. │ └── DEVICE : files coming from the device. ├── METADATA : folder with general information files about the session. ├── PROCESSED_DATA : contain all the folders needed to store the results of the data processing of the current session. │ ├── BATHY : output folder for bathymetry raw data extracted from mission logs. │ ├── FRAMES : output folder for georeferenced frames extracted from DCIM videos. │ ├── IA : destination folder for image recognition predictions. │ └── PHOTOGRAMMETRY : destination folder for reconstructed models in photogrammetry. └── SENSORS : folder to store files coming from other sources (bathymetry data from the echosounder, log file from the autopilot, mission plan etc.). Software All the raw data was processed using our worflow. All predictions were generated by our inference pipeline. You can find all the necessary scripts to download this data in this repository. Enjoy your data with SeatizenDOI!","url":"https://doi.org/10.5281/zenodo.15845070","authors":["Matteo Contini","Sylvain Bonhommeau","Serge Bernard","Julien Barde"],"tags":["Artificial Intelligence","Citizen Sciences","Computer Vision","Coral Reef","Coral Reef Habitat","Deep Learning","Drone","Ecology"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.15845070","addedAt":"2026-08-31T06:40:02.533Z","updatedAt":"2026-08-31T06:40:02.533Z"},{"id":"doi:10.5281/zenodo.15845095","name":"Aerial images collected by an Unmanned Aerial Vehicle in La-Saline, Réunion - 2025-05-16","source":"datacite","abstract":"This dataset was collected by an Unmanned Aerial Vehicle in La-Saline, Réunion - 2025-05-16. Underwater or aerial images collected by scientists or citizens can have a wide variety of use for science, management, or conservation. These images can be annotated and shared to train IA models which can in turn predict the objects on the images. We provide a set of tools (hardware and software) to collect marine data, predict species or habitat, and provide maps. This dataset is part of larger collection referencing numerous underwater and aerial images Seatizen Altas. Methods, tools and scientific objectives are also described in a dedicated data paper. Survey information Camera: Hasselblad L1D-20c Number of images: 539 Total size: 4.73 Gb Flight start: 2025:05:16 05:10:53 Flight end: 2025:05:16 05:30:21 Flight duration: 0h 19min 28sec Median height: 59.9 m Area covered: 10.95 a Photogrammetry OpenDroneMap software was used to create an orthophoto from the raw images. Here is the list of parameters different from the default values for the orthophoto generation. For more details, you can read the log.json file or the 000_photogrammatry_report.pdf report. {'auto_boundary': True, 'cog': True, 'fast_orthophoto': True, 'feature_quality': 'ultra', 'max_concurrency': 128, 'optimize_disk_space': True, 'orthophoto_resolution': 1.0, 'rolling_shutter': True, 'skip_3dmodel': True} Generic folder structure YYYYMMDD_COUNTRYCODE-optionalplace_device_session-number ├── DCIM : folder to store videos and photos depending on the media collected. ├── GPS : folder to store any positioning related file. If any kind of correction is possible on files (e.g. Post-Processed Kinematic thanks to rinex data) then the distinction between device data and base data is made. If, on the other hand, only device position data are present and the files cannot be corrected by post-processing techniques (e.g. gpx files), then the distinction between base and device is not made and the files are placed directly at the root of the GPS folder. │ ├── BASE : files coming from rtk station or any static positioning instrument. │ └── DEVICE : files coming from the device. ├── METADATA : folder with general information files about the session. ├── PROCESSED_DATA : contain all the folders needed to store the results of the data processing of the current session. │ ├── BATHY : output folder for bathymetry raw data extracted from mission logs. │ ├── FRAMES : output folder for georeferenced frames extracted from DCIM videos. │ ├── IA : destination folder for image recognition predictions. │ └── PHOTOGRAMMETRY : destination folder for reconstructed models in photogrammetry. └── SENSORS : folder to store files coming from other sources (bathymetry data from the echosounder, log file from the autopilot, mission plan etc.). Software All the raw data was processed using our worflow. All predictions were generated by our inference pipeline. You can find all the necessary scripts to download this data in this repository. Enjoy your data with SeatizenDOI!","url":"https://doi.org/10.5281/zenodo.15845095","authors":["Matteo Contini","Sylvain Bonhommeau","Serge Bernard","Julien Barde"],"tags":["Artificial Intelligence","Citizen Sciences","Computer Vision","Coral Reef","Coral Reef Habitat","Deep Learning","Drone","Ecology"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.15845095","addedAt":"2026-08-31T06:40:02.533Z","updatedAt":"2026-08-31T06:40:02.533Z"},{"id":"doi:10.5281/zenodo.15845071","name":"Aerial images collected by an Unmanned Aerial Vehicle in La-Saline, Réunion - 2025-05-16","source":"datacite","abstract":"This dataset was collected by an Unmanned Aerial Vehicle in La-Saline, Réunion - 2025-05-16. Underwater or aerial images collected by scientists or citizens can have a wide variety of use for science, management, or conservation. These images can be annotated and shared to train IA models which can in turn predict the objects on the images. We provide a set of tools (hardware and software) to collect marine data, predict species or habitat, and provide maps. This dataset is part of larger collection referencing numerous underwater and aerial images Seatizen Altas. Methods, tools and scientific objectives are also described in a dedicated data paper. Survey information Camera: Hasselblad L1D-20c Number of images: 539 Total size: 4.73 Gb Flight start: 2025:05:16 05:10:53 Flight end: 2025:05:16 05:30:21 Flight duration: 0h 19min 28sec Median height: 59.9 m Area covered: 10.95 a Generic folder structure YYYYMMDD_COUNTRYCODE-optionalplace_device_session-number ├── DCIM : folder to store videos and photos depending on the media collected. ├── GPS : folder to store any positioning related file. If any kind of correction is possible on files (e.g. Post-Processed Kinematic thanks to rinex data) then the distinction between device data and base data is made. If, on the other hand, only device position data are present and the files cannot be corrected by post-processing techniques (e.g. gpx files), then the distinction between base and device is not made and the files are placed directly at the root of the GPS folder. │ ├── BASE : files coming from rtk station or any static positioning instrument. │ └── DEVICE : files coming from the device. ├── METADATA : folder with general information files about the session. ├── PROCESSED_DATA : contain all the folders needed to store the results of the data processing of the current session. │ ├── BATHY : output folder for bathymetry raw data extracted from mission logs. │ ├── FRAMES : output folder for georeferenced frames extracted from DCIM videos. │ ├── IA : destination folder for image recognition predictions. │ └── PHOTOGRAMMETRY : destination folder for reconstructed models in photogrammetry. └── SENSORS : folder to store files coming from other sources (bathymetry data from the echosounder, log file from the autopilot, mission plan etc.). Software All the raw data was processed using our worflow. All predictions were generated by our inference pipeline. You can find all the necessary scripts to download this data in this repository. Enjoy your data with SeatizenDOI!","url":"https://doi.org/10.5281/zenodo.15845071","authors":["Matteo Contini","Sylvain Bonhommeau","Serge Bernard","Julien Barde"],"tags":["Artificial Intelligence","Citizen Sciences","Computer Vision","Coral Reef","Coral Reef Habitat","Deep Learning","Drone","Ecology"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.15845071","addedAt":"2026-08-31T06:40:02.533Z","updatedAt":"2026-08-31T06:40:02.533Z"},{"id":"doi:10.5281/zenodo.15845008","name":"Aerial images collected by an Unmanned Aerial Vehicle in Etang-Sale, Réunion - 2025-06-18","source":"datacite","abstract":"This dataset was collected by an Unmanned Aerial Vehicle in Etang-Sale, Réunion - 2025-06-18. Underwater or aerial images collected by scientists or citizens can have a wide variety of use for science, management, or conservation. These images can be annotated and shared to train IA models which can in turn predict the objects on the images. We provide a set of tools (hardware and software) to collect marine data, predict species or habitat, and provide maps. This dataset is part of larger collection referencing numerous underwater and aerial images Seatizen Altas. Methods, tools and scientific objectives are also described in a dedicated data paper. Survey information Camera: Hasselblad L1D-20c Number of images: 341 Total size: 4.52 Gb Flight start: 2025:06:18 06:57:43 Flight end: 2025:06:18 07:13:35 Flight duration: 0h 15min 52sec Median height: 39.9 m Area covered: 2.04 a Photogrammetry OpenDroneMap software was used to create an orthophoto from the raw images. Here is the list of parameters different from the default values for the orthophoto generation. For more details, you can read the log.json file or the 000_photogrammatry_report.pdf report. {'auto_boundary': True, 'cog': True, 'fast_orthophoto': True, 'feature_quality': 'ultra', 'max_concurrency': 128, 'optimize_disk_space': True, 'orthophoto_resolution': 1.0, 'rolling_shutter': True, 'skip_3dmodel': True} Generic folder structure YYYYMMDD_COUNTRYCODE-optionalplace_device_session-number ├── DCIM : folder to store videos and photos depending on the media collected. ├── GPS : folder to store any positioning related file. If any kind of correction is possible on files (e.g. Post-Processed Kinematic thanks to rinex data) then the distinction between device data and base data is made. If, on the other hand, only device position data are present and the files cannot be corrected by post-processing techniques (e.g. gpx files), then the distinction between base and device is not made and the files are placed directly at the root of the GPS folder. │ ├── BASE : files coming from rtk station or any static positioning instrument. │ └── DEVICE : files coming from the device. ├── METADATA : folder with general information files about the session. ├── PROCESSED_DATA : contain all the folders needed to store the results of the data processing of the current session. │ ├── BATHY : output folder for bathymetry raw data extracted from mission logs. │ ├── FRAMES : output folder for georeferenced frames extracted from DCIM videos. │ ├── IA : destination folder for image recognition predictions. │ └── PHOTOGRAMMETRY : destination folder for reconstructed models in photogrammetry. └── SENSORS : folder to store files coming from other sources (bathymetry data from the echosounder, log file from the autopilot, mission plan etc.). Software All the raw data was processed using our worflow. All predictions were generated by our inference pipeline. You can find all the necessary scripts to download this data in this repository. Enjoy your data with SeatizenDOI!","url":"https://doi.org/10.5281/zenodo.15845008","authors":["Matteo Contini","Sylvain Bonhommeau","Serge Bernard","Julien Barde"],"tags":["Artificial Intelligence","Citizen Sciences","Computer Vision","Coral Reef","Coral Reef Habitat","Deep Learning","Drone","Ecology"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.15845008","addedAt":"2026-08-31T06:40:02.533Z","updatedAt":"2026-08-31T06:40:02.533Z"},{"id":"doi:10.5281/zenodo.15845031","name":"Aerial images collected by an Unmanned Aerial Vehicle in Etang-Sale, Réunion - 2025-06-18","source":"datacite","abstract":"This dataset was collected by an Unmanned Aerial Vehicle in Etang-Sale, Réunion - 2025-06-18. Underwater or aerial images collected by scientists or citizens can have a wide variety of use for science, management, or conservation. These images can be annotated and shared to train IA models which can in turn predict the objects on the images. We provide a set of tools (hardware and software) to collect marine data, predict species or habitat, and provide maps. This dataset is part of larger collection referencing numerous underwater and aerial images Seatizen Altas. Methods, tools and scientific objectives are also described in a dedicated data paper. Survey information Camera: Hasselblad L1D-20c Number of images: 341 Total size: 4.52 Gb Flight start: 2025:06:18 06:57:43 Flight end: 2025:06:18 07:13:35 Flight duration: 0h 15min 52sec Median height: 39.9 m Area covered: 2.04 a Photogrammetry OpenDroneMap software was used to create an orthophoto from the raw images. Here is the list of parameters different from the default values for the orthophoto generation. For more details, you can read the log.json file or the 000_photogrammatry_report.pdf report. {'auto_boundary': True, 'cog': True, 'fast_orthophoto': True, 'feature_quality': 'ultra', 'max_concurrency': 128, 'optimize_disk_space': True, 'orthophoto_resolution': 1.0, 'rolling_shutter': True, 'skip_3dmodel': True} Generic folder structure YYYYMMDD_COUNTRYCODE-optionalplace_device_session-number ├── DCIM : folder to store videos and photos depending on the media collected. ├── GPS : folder to store any positioning related file. If any kind of correction is possible on files (e.g. Post-Processed Kinematic thanks to rinex data) then the distinction between device data and base data is made. If, on the other hand, only device position data are present and the files cannot be corrected by post-processing techniques (e.g. gpx files), then the distinction between base and device is not made and the files are placed directly at the root of the GPS folder. │ ├── BASE : files coming from rtk station or any static positioning instrument. │ └── DEVICE : files coming from the device. ├── METADATA : folder with general information files about the session. ├── PROCESSED_DATA : contain all the folders needed to store the results of the data processing of the current session. │ ├── BATHY : output folder for bathymetry raw data extracted from mission logs. │ ├── FRAMES : output folder for georeferenced frames extracted from DCIM videos. │ ├── IA : destination folder for image recognition predictions. │ └── PHOTOGRAMMETRY : destination folder for reconstructed models in photogrammetry. └── SENSORS : folder to store files coming from other sources (bathymetry data from the echosounder, log file from the autopilot, mission plan etc.). Software All the raw data was processed using our worflow. All predictions were generated by our inference pipeline. You can find all the necessary scripts to download this data in this repository. Enjoy your data with SeatizenDOI!","url":"https://doi.org/10.5281/zenodo.15845031","authors":["Matteo Contini","Sylvain Bonhommeau","Serge Bernard","Julien Barde"],"tags":["Artificial Intelligence","Citizen Sciences","Computer Vision","Coral Reef","Coral Reef Habitat","Deep Learning","Drone","Ecology"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.15845031","addedAt":"2026-08-31T06:40:02.533Z","updatedAt":"2026-08-31T06:40:02.533Z"},{"id":"doi:10.5281/zenodo.15845009","name":"Aerial images collected by an Unmanned Aerial Vehicle in Etang-Sale, Réunion - 2025-06-18","source":"datacite","abstract":"This dataset was collected by an Unmanned Aerial Vehicle in Etang-Sale, Réunion - 2025-06-18. Underwater or aerial images collected by scientists or citizens can have a wide variety of use for science, management, or conservation. These images can be annotated and shared to train IA models which can in turn predict the objects on the images. We provide a set of tools (hardware and software) to collect marine data, predict species or habitat, and provide maps. This dataset is part of larger collection referencing numerous underwater and aerial images Seatizen Altas. Methods, tools and scientific objectives are also described in a dedicated data paper. Survey information Camera: Hasselblad L1D-20c Number of images: 341 Total size: 4.52 Gb Flight start: 2025:06:18 06:57:43 Flight end: 2025:06:18 07:13:35 Flight duration: 0h 15min 52sec Median height: 39.9 m Area covered: 2.04 a Generic folder structure YYYYMMDD_COUNTRYCODE-optionalplace_device_session-number ├── DCIM : folder to store videos and photos depending on the media collected. ├── GPS : folder to store any positioning related file. If any kind of correction is possible on files (e.g. Post-Processed Kinematic thanks to rinex data) then the distinction between device data and base data is made. If, on the other hand, only device position data are present and the files cannot be corrected by post-processing techniques (e.g. gpx files), then the distinction between base and device is not made and the files are placed directly at the root of the GPS folder. │ ├── BASE : files coming from rtk station or any static positioning instrument. │ └── DEVICE : files coming from the device. ├── METADATA : folder with general information files about the session. ├── PROCESSED_DATA : contain all the folders needed to store the results of the data processing of the current session. │ ├── BATHY : output folder for bathymetry raw data extracted from mission logs. │ ├── FRAMES : output folder for georeferenced frames extracted from DCIM videos. │ ├── IA : destination folder for image recognition predictions. │ └── PHOTOGRAMMETRY : destination folder for reconstructed models in photogrammetry. └── SENSORS : folder to store files coming from other sources (bathymetry data from the echosounder, log file from the autopilot, mission plan etc.). Software All the raw data was processed using our worflow. All predictions were generated by our inference pipeline. You can find all the necessary scripts to download this data in this repository. Enjoy your data with SeatizenDOI!","url":"https://doi.org/10.5281/zenodo.15845009","authors":["Matteo Contini","Sylvain Bonhommeau","Serge Bernard","Julien Barde"],"tags":["Artificial Intelligence","Citizen Sciences","Computer Vision","Coral Reef","Coral Reef Habitat","Deep Learning","Drone","Ecology"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.15845009","addedAt":"2026-08-31T06:40:02.533Z","updatedAt":"2026-08-31T06:40:02.533Z"},{"id":"doi:10.5281/zenodo.15844876","name":"Aerial images collected by an Unmanned Aerial Vehicle in Etang-Sale, Réunion - 2025-06-18","source":"datacite","abstract":"This dataset was collected by an Unmanned Aerial Vehicle in Etang-Sale, Réunion - 2025-06-18. Underwater or aerial images collected by scientists or citizens can have a wide variety of use for science, management, or conservation. These images can be annotated and shared to train IA models which can in turn predict the objects on the images. We provide a set of tools (hardware and software) to collect marine data, predict species or habitat, and provide maps. This dataset is part of larger collection referencing numerous underwater and aerial images Seatizen Altas. Methods, tools and scientific objectives are also described in a dedicated data paper. Survey information Camera: Hasselblad L1D-20c Number of images: 1783 Total size: 20.96 Gb Flight start: 2025:06:18 05:16:20 Flight end: 2025:06:18 06:42:34 Flight duration: 1h 26min 14sec Median height: 49.9 m Area covered: 16.85 a Photogrammetry OpenDroneMap software was used to create an orthophoto from the raw images. Here is the list of parameters different from the default values for the orthophoto generation. For more details, you can read the log.json file or the 000_photogrammatry_report.pdf report. {'auto_boundary': True, 'cog': True, 'fast_orthophoto': True, 'feature_quality': 'ultra', 'max_concurrency': 128, 'optimize_disk_space': True, 'orthophoto_resolution': 1.0, 'rolling_shutter': True, 'skip_3dmodel': True} Generic folder structure YYYYMMDD_COUNTRYCODE-optionalplace_device_session-number ├── DCIM : folder to store videos and photos depending on the media collected. ├── GPS : folder to store any positioning related file. If any kind of correction is possible on files (e.g. Post-Processed Kinematic thanks to rinex data) then the distinction between device data and base data is made. If, on the other hand, only device position data are present and the files cannot be corrected by post-processing techniques (e.g. gpx files), then the distinction between base and device is not made and the files are placed directly at the root of the GPS folder. │ ├── BASE : files coming from rtk station or any static positioning instrument. │ └── DEVICE : files coming from the device. ├── METADATA : folder with general information files about the session. ├── PROCESSED_DATA : contain all the folders needed to store the results of the data processing of the current session. │ ├── BATHY : output folder for bathymetry raw data extracted from mission logs. │ ├── FRAMES : output folder for georeferenced frames extracted from DCIM videos. │ ├── IA : destination folder for image recognition predictions. │ └── PHOTOGRAMMETRY : destination folder for reconstructed models in photogrammetry. └── SENSORS : folder to store files coming from other sources (bathymetry data from the echosounder, log file from the autopilot, mission plan etc.). Software All the raw data was processed using our worflow. All predictions were generated by our inference pipeline. You can find all the necessary scripts to download this data in this repository. Enjoy your data with SeatizenDOI!","url":"https://doi.org/10.5281/zenodo.15844876","authors":["Matteo Contini","Sylvain Bonhommeau","Serge Bernard","Julien Barde"],"tags":["Artificial Intelligence","Citizen Sciences","Computer Vision","Coral Reef","Coral Reef Habitat","Deep Learning","Drone","Ecology"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.15844876","addedAt":"2026-08-31T06:40:02.533Z","updatedAt":"2026-08-31T06:40:02.533Z"},{"id":"doi:10.5281/zenodo.15844980","name":"Aerial images collected by an Unmanned Aerial Vehicle in Etang-Sale, Réunion - 2025-06-18","source":"datacite","abstract":"This dataset was collected by an Unmanned Aerial Vehicle in Etang-Sale, Réunion - 2025-06-18. Underwater or aerial images collected by scientists or citizens can have a wide variety of use for science, management, or conservation. These images can be annotated and shared to train IA models which can in turn predict the objects on the images. We provide a set of tools (hardware and software) to collect marine data, predict species or habitat, and provide maps. This dataset is part of larger collection referencing numerous underwater and aerial images Seatizen Altas. Methods, tools and scientific objectives are also described in a dedicated data paper. Survey information Camera: Hasselblad L1D-20c Number of images: 1783 Total size: 20.96 Gb Flight start: 2025:06:18 05:16:20 Flight end: 2025:06:18 06:42:34 Flight duration: 1h 26min 14sec Median height: 49.9 m Area covered: 16.85 a Photogrammetry OpenDroneMap software was used to create an orthophoto from the raw images. Here is the list of parameters different from the default values for the orthophoto generation. For more details, you can read the log.json file or the 000_photogrammatry_report.pdf report. {'auto_boundary': True, 'cog': True, 'fast_orthophoto': True, 'feature_quality': 'ultra', 'max_concurrency': 128, 'optimize_disk_space': True, 'orthophoto_resolution': 1.0, 'rolling_shutter': True, 'skip_3dmodel': True} Generic folder structure YYYYMMDD_COUNTRYCODE-optionalplace_device_session-number ├── DCIM : folder to store videos and photos depending on the media collected. ├── GPS : folder to store any positioning related file. If any kind of correction is possible on files (e.g. Post-Processed Kinematic thanks to rinex data) then the distinction between device data and base data is made. If, on the other hand, only device position data are present and the files cannot be corrected by post-processing techniques (e.g. gpx files), then the distinction between base and device is not made and the files are placed directly at the root of the GPS folder. │ ├── BASE : files coming from rtk station or any static positioning instrument. │ └── DEVICE : files coming from the device. ├── METADATA : folder with general information files about the session. ├── PROCESSED_DATA : contain all the folders needed to store the results of the data processing of the current session. │ ├── BATHY : output folder for bathymetry raw data extracted from mission logs. │ ├── FRAMES : output folder for georeferenced frames extracted from DCIM videos. │ ├── IA : destination folder for image recognition predictions. │ └── PHOTOGRAMMETRY : destination folder for reconstructed models in photogrammetry. └── SENSORS : folder to store files coming from other sources (bathymetry data from the echosounder, log file from the autopilot, mission plan etc.). Software All the raw data was processed using our worflow. All predictions were generated by our inference pipeline. You can find all the necessary scripts to download this data in this repository. Enjoy your data with SeatizenDOI!","url":"https://doi.org/10.5281/zenodo.15844980","authors":["Matteo Contini","Sylvain Bonhommeau","Serge Bernard","Julien Barde"],"tags":["Artificial Intelligence","Citizen Sciences","Computer Vision","Coral Reef","Coral Reef Habitat","Deep Learning","Drone","Ecology"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.15844980","addedAt":"2026-08-31T06:40:02.533Z","updatedAt":"2026-08-31T06:40:02.533Z"},{"id":"doi:10.5281/zenodo.15844877","name":"Aerial images collected by an Unmanned Aerial Vehicle in Etang-Sale, Réunion - 2025-06-18","source":"datacite","abstract":"This dataset was collected by an Unmanned Aerial Vehicle in Etang-Sale, Réunion - 2025-06-18. Underwater or aerial images collected by scientists or citizens can have a wide variety of use for science, management, or conservation. These images can be annotated and shared to train IA models which can in turn predict the objects on the images. We provide a set of tools (hardware and software) to collect marine data, predict species or habitat, and provide maps. This dataset is part of larger collection referencing numerous underwater and aerial images Seatizen Altas. Methods, tools and scientific objectives are also described in a dedicated data paper. Survey information Camera: Hasselblad L1D-20c Number of images: 1783 Total size: 20.96 Gb Flight start: 2025:06:18 05:16:20 Flight end: 2025:06:18 06:42:34 Flight duration: 1h 26min 14sec Median height: 49.9 m Area covered: 16.85 a Generic folder structure YYYYMMDD_COUNTRYCODE-optionalplace_device_session-number ├── DCIM : folder to store videos and photos depending on the media collected. ├── GPS : folder to store any positioning related file. If any kind of correction is possible on files (e.g. Post-Processed Kinematic thanks to rinex data) then the distinction between device data and base data is made. If, on the other hand, only device position data are present and the files cannot be corrected by post-processing techniques (e.g. gpx files), then the distinction between base and device is not made and the files are placed directly at the root of the GPS folder. │ ├── BASE : files coming from rtk station or any static positioning instrument. │ └── DEVICE : files coming from the device. ├── METADATA : folder with general information files about the session. ├── PROCESSED_DATA : contain all the folders needed to store the results of the data processing of the current session. │ ├── BATHY : output folder for bathymetry raw data extracted from mission logs. │ ├── FRAMES : output folder for georeferenced frames extracted from DCIM videos. │ ├── IA : destination folder for image recognition predictions. │ └── PHOTOGRAMMETRY : destination folder for reconstructed models in photogrammetry. └── SENSORS : folder to store files coming from other sources (bathymetry data from the echosounder, log file from the autopilot, mission plan etc.). Software All the raw data was processed using our worflow. All predictions were generated by our inference pipeline. You can find all the necessary scripts to download this data in this repository. Enjoy your data with SeatizenDOI!","url":"https://doi.org/10.5281/zenodo.15844877","authors":["Matteo Contini","Sylvain Bonhommeau","Serge Bernard","Julien Barde"],"tags":["Artificial Intelligence","Citizen Sciences","Computer Vision","Coral Reef","Coral Reef Habitat","Deep Learning","Drone","Ecology"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.15844877","addedAt":"2026-08-31T06:40:02.533Z","updatedAt":"2026-08-31T06:40:02.533Z"},{"id":"doi:10.5281/zenodo.15844824","name":"Aerial images collected by an Unmanned Aerial Vehicle in La-Saline, Réunion - 2025-05-17","source":"datacite","abstract":"This dataset was collected by an Unmanned Aerial Vehicle in La-Saline, Réunion - 2025-05-17. Underwater or aerial images collected by scientists or citizens can have a wide variety of use for science, management, or conservation. These images can be annotated and shared to train IA models which can in turn predict the objects on the images. We provide a set of tools (hardware and software) to collect marine data, predict species or habitat, and provide maps. This dataset is part of larger collection referencing numerous underwater and aerial images Seatizen Altas. Methods, tools and scientific objectives are also described in a dedicated data paper. Survey information Camera: Hasselblad L1D-20c Number of images: 592 Total size: 5.2 Gb Flight start: 2025:05:17 04:29:30 Flight end: 2025:05:17 05:02:15 Flight duration: 0h 32min 45sec Median height: 59.9 m Area covered: 16.38 a Photogrammetry OpenDroneMap software was used to create an orthophoto from the raw images. Here is the list of parameters different from the default values for the orthophoto generation. For more details, you can read the log.json file or the 000_photogrammatry_report.pdf report. {'auto_boundary': True, 'cog': True, 'fast_orthophoto': True, 'feature_quality': 'ultra', 'max_concurrency': 128, 'optimize_disk_space': True, 'orthophoto_resolution': 1.0, 'rolling_shutter': True, 'skip_3dmodel': True} Generic folder structure YYYYMMDD_COUNTRYCODE-optionalplace_device_session-number ├── DCIM : folder to store videos and photos depending on the media collected. ├── GPS : folder to store any positioning related file. If any kind of correction is possible on files (e.g. Post-Processed Kinematic thanks to rinex data) then the distinction between device data and base data is made. If, on the other hand, only device position data are present and the files cannot be corrected by post-processing techniques (e.g. gpx files), then the distinction between base and device is not made and the files are placed directly at the root of the GPS folder. │ ├── BASE : files coming from rtk station or any static positioning instrument. │ └── DEVICE : files coming from the device. ├── METADATA : folder with general information files about the session. ├── PROCESSED_DATA : contain all the folders needed to store the results of the data processing of the current session. │ ├── BATHY : output folder for bathymetry raw data extracted from mission logs. │ ├── FRAMES : output folder for georeferenced frames extracted from DCIM videos. │ ├── IA : destination folder for image recognition predictions. │ └── PHOTOGRAMMETRY : destination folder for reconstructed models in photogrammetry. └── SENSORS : folder to store files coming from other sources (bathymetry data from the echosounder, log file from the autopilot, mission plan etc.). Software All the raw data was processed using our worflow. All predictions were generated by our inference pipeline. You can find all the necessary scripts to download this data in this repository. Enjoy your data with SeatizenDOI!","url":"https://doi.org/10.5281/zenodo.15844824","authors":["Matteo Contini","Sylvain Bonhommeau","Serge Bernard","Julien Barde"],"tags":["Artificial Intelligence","Citizen Sciences","Computer Vision","Coral Reef","Coral Reef Habitat","Deep Learning","Drone","Ecology"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.15844824","addedAt":"2026-08-31T06:40:02.533Z","updatedAt":"2026-08-31T06:40:02.533Z"},{"id":"doi:10.5281/zenodo.15844847","name":"Aerial images collected by an Unmanned Aerial Vehicle in La-Saline, Réunion - 2025-05-17","source":"datacite","abstract":"This dataset was collected by an Unmanned Aerial Vehicle in La-Saline, Réunion - 2025-05-17. Underwater or aerial images collected by scientists or citizens can have a wide variety of use for science, management, or conservation. These images can be annotated and shared to train IA models which can in turn predict the objects on the images. We provide a set of tools (hardware and software) to collect marine data, predict species or habitat, and provide maps. This dataset is part of larger collection referencing numerous underwater and aerial images Seatizen Altas. Methods, tools and scientific objectives are also described in a dedicated data paper. Survey information Camera: Hasselblad L1D-20c Number of images: 592 Total size: 5.2 Gb Flight start: 2025:05:17 04:29:30 Flight end: 2025:05:17 05:02:15 Flight duration: 0h 32min 45sec Median height: 59.9 m Area covered: 16.38 a Photogrammetry OpenDroneMap software was used to create an orthophoto from the raw images. Here is the list of parameters different from the default values for the orthophoto generation. For more details, you can read the log.json file or the 000_photogrammatry_report.pdf report. {'auto_boundary': True, 'cog': True, 'fast_orthophoto': True, 'feature_quality': 'ultra', 'max_concurrency': 128, 'optimize_disk_space': True, 'orthophoto_resolution': 1.0, 'rolling_shutter': True, 'skip_3dmodel': True} Generic folder structure YYYYMMDD_COUNTRYCODE-optionalplace_device_session-number ├── DCIM : folder to store videos and photos depending on the media collected. ├── GPS : folder to store any positioning related file. If any kind of correction is possible on files (e.g. Post-Processed Kinematic thanks to rinex data) then the distinction between device data and base data is made. If, on the other hand, only device position data are present and the files cannot be corrected by post-processing techniques (e.g. gpx files), then the distinction between base and device is not made and the files are placed directly at the root of the GPS folder. │ ├── BASE : files coming from rtk station or any static positioning instrument. │ └── DEVICE : files coming from the device. ├── METADATA : folder with general information files about the session. ├── PROCESSED_DATA : contain all the folders needed to store the results of the data processing of the current session. │ ├── BATHY : output folder for bathymetry raw data extracted from mission logs. │ ├── FRAMES : output folder for georeferenced frames extracted from DCIM videos. │ ├── IA : destination folder for image recognition predictions. │ └── PHOTOGRAMMETRY : destination folder for reconstructed models in photogrammetry. └── SENSORS : folder to store files coming from other sources (bathymetry data from the echosounder, log file from the autopilot, mission plan etc.). Software All the raw data was processed using our worflow. All predictions were generated by our inference pipeline. You can find all the necessary scripts to download this data in this repository. Enjoy your data with SeatizenDOI!","url":"https://doi.org/10.5281/zenodo.15844847","authors":["Matteo Contini","Sylvain Bonhommeau","Serge Bernard","Julien Barde"],"tags":["Artificial Intelligence","Citizen Sciences","Computer Vision","Coral Reef","Coral Reef Habitat","Deep Learning","Drone","Ecology"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.15844847","addedAt":"2026-08-31T06:40:02.533Z","updatedAt":"2026-08-31T06:40:02.533Z"},{"id":"doi:10.5281/zenodo.15844825","name":"Aerial images collected by an Unmanned Aerial Vehicle in La-Saline, Réunion - 2025-05-17","source":"datacite","abstract":"This dataset was collected by an Unmanned Aerial Vehicle in La-Saline, Réunion - 2025-05-17. Underwater or aerial images collected by scientists or citizens can have a wide variety of use for science, management, or conservation. These images can be annotated and shared to train IA models which can in turn predict the objects on the images. We provide a set of tools (hardware and software) to collect marine data, predict species or habitat, and provide maps. This dataset is part of larger collection referencing numerous underwater and aerial images Seatizen Altas. Methods, tools and scientific objectives are also described in a dedicated data paper. Survey information Camera: Hasselblad L1D-20c Number of images: 592 Total size: 5.2 Gb Flight start: 2025:05:17 04:29:30 Flight end: 2025:05:17 05:02:15 Flight duration: 0h 32min 45sec Median height: 59.9 m Area covered: 16.38 a Generic folder structure YYYYMMDD_COUNTRYCODE-optionalplace_device_session-number ├── DCIM : folder to store videos and photos depending on the media collected. ├── GPS : folder to store any positioning related file. If any kind of correction is possible on files (e.g. Post-Processed Kinematic thanks to rinex data) then the distinction between device data and base data is made. If, on the other hand, only device position data are present and the files cannot be corrected by post-processing techniques (e.g. gpx files), then the distinction between base and device is not made and the files are placed directly at the root of the GPS folder. │ ├── BASE : files coming from rtk station or any static positioning instrument. │ └── DEVICE : files coming from the device. ├── METADATA : folder with general information files about the session. ├── PROCESSED_DATA : contain all the folders needed to store the results of the data processing of the current session. │ ├── BATHY : output folder for bathymetry raw data extracted from mission logs. │ ├── FRAMES : output folder for georeferenced frames extracted from DCIM videos. │ ├── IA : destination folder for image recognition predictions. │ └── PHOTOGRAMMETRY : destination folder for reconstructed models in photogrammetry. └── SENSORS : folder to store files coming from other sources (bathymetry data from the echosounder, log file from the autopilot, mission plan etc.). Software All the raw data was processed using our worflow. All predictions were generated by our inference pipeline. You can find all the necessary scripts to download this data in this repository. Enjoy your data with SeatizenDOI!","url":"https://doi.org/10.5281/zenodo.15844825","authors":["Matteo Contini","Sylvain Bonhommeau","Serge Bernard","Julien Barde"],"tags":["Artificial Intelligence","Citizen Sciences","Computer Vision","Coral Reef","Coral Reef Habitat","Deep Learning","Drone","Ecology"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.15844825","addedAt":"2026-08-31T06:40:02.533Z","updatedAt":"2026-08-31T06:40:02.533Z"},{"id":"doi:10.48550/arxiv.2507.03729","name":"Improving SAGIN Resilience to Jamming with Reconfigurable Intelligent Surfaces","source":"datacite","abstract":"This study investigates the anti-jamming space-air-ground integrated network (SAGIN) scenario wherein a reconfigurable intelligent surface (RIS) is deployed on a fixed Unmanned Aerial Vehicle (UAV) to counteract malevolent jamming attacks. In contrast to existing research, in this paper, we consider that a Low Earth Orbit (LEO) satellite is sending the signal to the user on the ground in the presence of jamming from a Geostationary Equatorial Orbit (GEO) satellite side. We aim to maximize the signal-to-jamming plus noise ratio (SJNR) by optimizing the RIS beamforming and transmit power of the LEO satellite. Assuming the availability of global channel state information (CSI) at the RIS, we propose alternating optimization (AO) and semidefinite relaxation (SDR) techniques to address the complexity. Simulation results show that the optimization schemes lead to considerable performance improvements. The results also indicate that, given the high jamming power and the relatively small number of RIS elements, deploying the RIS on UAVs near the user is more effective in mitigating the impact of jamming interferers.","url":"https://doi.org/10.48550/arxiv.2507.03729","authors":["Marandi, Leila","Humadi, Khaled","Kurt, Gunes Karabulut","Ajib, Wessam","Zhu, Wei-Ping"],"tags":["Signal Processing (eess.SP)","FOS: Electrical engineering, electronic engineering, information engineering","FOS: Electrical engineering, electronic engineering, information engineering"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.48550/arxiv.2507.03729","addedAt":"2026-08-31T06:40:02.533Z","updatedAt":"2026-08-31T06:40:02.533Z"},{"id":"doi:10.5281/zenodo.15832240","name":"Aerial images collected by an Unmanned Aerial Vehicle in Trou-Deau, Réunion - 2025-06-20","source":"datacite","abstract":"This dataset was collected by an Unmanned Aerial Vehicle in Trou-Deau, Réunion - 2025-06-20. Underwater or aerial images collected by scientists or citizens can have a wide variety of use for science, management, or conservation. These images can be annotated and shared to train IA models which can in turn predict the objects on the images. We provide a set of tools (hardware and software) to collect marine data, predict species or habitat, and provide maps. This dataset is part of larger collection referencing numerous underwater and aerial images Seatizen Altas. Methods, tools and scientific objectives are also described in a dedicated data paper. Survey information Camera: Hasselblad L1D-20c Number of images: 604 Total size: 6.04 Gb Flight start: 2025:06:20 06:42:53 Flight end: 2025:06:20 07:08:26 Flight duration: 0h 25min 33sec Median height: 39.9 m Area covered: 3.72 a Photogrammetry OpenDroneMap software was used to create an orthophoto from the raw images. Here is the list of parameters different from the default values for the orthophoto generation. For more details, you can read the log.json file or the 000_photogrammatry_report.pdf report. {'auto_boundary': True, 'cog': True, 'fast_orthophoto': True, 'feature_quality': 'ultra', 'max_concurrency': 128, 'optimize_disk_space': True, 'orthophoto_resolution': 1.0, 'rolling_shutter': True, 'skip_3dmodel': True} Generic folder structure YYYYMMDD_COUNTRYCODE-optionalplace_device_session-number ├── DCIM : folder to store videos and photos depending on the media collected. ├── GPS : folder to store any positioning related file. If any kind of correction is possible on files (e.g. Post-Processed Kinematic thanks to rinex data) then the distinction between device data and base data is made. If, on the other hand, only device position data are present and the files cannot be corrected by post-processing techniques (e.g. gpx files), then the distinction between base and device is not made and the files are placed directly at the root of the GPS folder. │ ├── BASE : files coming from rtk station or any static positioning instrument. │ └── DEVICE : files coming from the device. ├── METADATA : folder with general information files about the session. ├── PROCESSED_DATA : contain all the folders needed to store the results of the data processing of the current session. │ ├── BATHY : output folder for bathymetry raw data extracted from mission logs. │ ├── FRAMES : output folder for georeferenced frames extracted from DCIM videos. │ ├── IA : destination folder for image recognition predictions. │ └── PHOTOGRAMMETRY : destination folder for reconstructed models in photogrammetry. └── SENSORS : folder to store files coming from other sources (bathymetry data from the echosounder, log file from the autopilot, mission plan etc.). Software All the raw data was processed using our worflow. All predictions were generated by our inference pipeline. You can find all the necessary scripts to download this data in this repository. Enjoy your data with SeatizenDOI!","url":"https://doi.org/10.5281/zenodo.15832240","authors":["Matteo Contini","Sylvain Bonhommeau","Serge Bernard","Julien Barde"],"tags":["Artificial Intelligence","Citizen Sciences","Computer Vision","Coral Reef","Coral Reef Habitat","Deep Learning","Drone","Ecology"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.15832240","addedAt":"2026-08-31T06:40:02.533Z","updatedAt":"2026-08-31T06:40:02.533Z"},{"id":"doi:10.5281/zenodo.15832254","name":"Aerial images collected by an Unmanned Aerial Vehicle in Trou-Deau, Réunion - 2025-06-20","source":"datacite","abstract":"This dataset was collected by an Unmanned Aerial Vehicle in Trou-Deau, Réunion - 2025-06-20. Underwater or aerial images collected by scientists or citizens can have a wide variety of use for science, management, or conservation. These images can be annotated and shared to train IA models which can in turn predict the objects on the images. We provide a set of tools (hardware and software) to collect marine data, predict species or habitat, and provide maps. This dataset is part of larger collection referencing numerous underwater and aerial images Seatizen Altas. Methods, tools and scientific objectives are also described in a dedicated data paper. Survey information Camera: Hasselblad L1D-20c Number of images: 604 Total size: 6.04 Gb Flight start: 2025:06:20 06:42:53 Flight end: 2025:06:20 07:08:26 Flight duration: 0h 25min 33sec Median height: 39.9 m Area covered: 3.72 a Photogrammetry OpenDroneMap software was used to create an orthophoto from the raw images. Here is the list of parameters different from the default values for the orthophoto generation. For more details, you can read the log.json file or the 000_photogrammatry_report.pdf report. {'auto_boundary': True, 'cog': True, 'fast_orthophoto': True, 'feature_quality': 'ultra', 'max_concurrency': 128, 'optimize_disk_space': True, 'orthophoto_resolution': 1.0, 'rolling_shutter': True, 'skip_3dmodel': True} Generic folder structure YYYYMMDD_COUNTRYCODE-optionalplace_device_session-number ├── DCIM : folder to store videos and photos depending on the media collected. ├── GPS : folder to store any positioning related file. If any kind of correction is possible on files (e.g. Post-Processed Kinematic thanks to rinex data) then the distinction between device data and base data is made. If, on the other hand, only device position data are present and the files cannot be corrected by post-processing techniques (e.g. gpx files), then the distinction between base and device is not made and the files are placed directly at the root of the GPS folder. │ ├── BASE : files coming from rtk station or any static positioning instrument. │ └── DEVICE : files coming from the device. ├── METADATA : folder with general information files about the session. ├── PROCESSED_DATA : contain all the folders needed to store the results of the data processing of the current session. │ ├── BATHY : output folder for bathymetry raw data extracted from mission logs. │ ├── FRAMES : output folder for georeferenced frames extracted from DCIM videos. │ ├── IA : destination folder for image recognition predictions. │ └── PHOTOGRAMMETRY : destination folder for reconstructed models in photogrammetry. └── SENSORS : folder to store files coming from other sources (bathymetry data from the echosounder, log file from the autopilot, mission plan etc.). Software All the raw data was processed using our worflow. All predictions were generated by our inference pipeline. You can find all the necessary scripts to download this data in this repository. Enjoy your data with SeatizenDOI!","url":"https://doi.org/10.5281/zenodo.15832254","authors":["Matteo Contini","Sylvain Bonhommeau","Serge Bernard","Julien Barde"],"tags":["Artificial Intelligence","Citizen Sciences","Computer Vision","Coral Reef","Coral Reef Habitat","Deep Learning","Drone","Ecology"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.15832254","addedAt":"2026-08-31T06:40:02.533Z","updatedAt":"2026-08-31T06:40:02.533Z"},{"id":"doi:10.5281/zenodo.15832241","name":"Aerial images collected by an Unmanned Aerial Vehicle in Trou-Deau, Réunion - 2025-06-20","source":"datacite","abstract":"This dataset was collected by an Unmanned Aerial Vehicle in Trou-Deau, Réunion - 2025-06-20. Underwater or aerial images collected by scientists or citizens can have a wide variety of use for science, management, or conservation. These images can be annotated and shared to train IA models which can in turn predict the objects on the images. We provide a set of tools (hardware and software) to collect marine data, predict species or habitat, and provide maps. This dataset is part of larger collection referencing numerous underwater and aerial images Seatizen Altas. Methods, tools and scientific objectives are also described in a dedicated data paper. Survey information Camera: Hasselblad L1D-20c Number of images: 604 Total size: 6.04 Gb Flight start: 2025:06:20 06:42:53 Flight end: 2025:06:20 07:08:26 Flight duration: 0h 25min 33sec Median height: 39.9 m Area covered: 3.72 a Generic folder structure YYYYMMDD_COUNTRYCODE-optionalplace_device_session-number ├── DCIM : folder to store videos and photos depending on the media collected. ├── GPS : folder to store any positioning related file. If any kind of correction is possible on files (e.g. Post-Processed Kinematic thanks to rinex data) then the distinction between device data and base data is made. If, on the other hand, only device position data are present and the files cannot be corrected by post-processing techniques (e.g. gpx files), then the distinction between base and device is not made and the files are placed directly at the root of the GPS folder. │ ├── BASE : files coming from rtk station or any static positioning instrument. │ └── DEVICE : files coming from the device. ├── METADATA : folder with general information files about the session. ├── PROCESSED_DATA : contain all the folders needed to store the results of the data processing of the current session. │ ├── BATHY : output folder for bathymetry raw data extracted from mission logs. │ ├── FRAMES : output folder for georeferenced frames extracted from DCIM videos. │ ├── IA : destination folder for image recognition predictions. │ └── PHOTOGRAMMETRY : destination folder for reconstructed models in photogrammetry. └── SENSORS : folder to store files coming from other sources (bathymetry data from the echosounder, log file from the autopilot, mission plan etc.). Software All the raw data was processed using our worflow. All predictions were generated by our inference pipeline. You can find all the necessary scripts to download this data in this repository. Enjoy your data with SeatizenDOI!","url":"https://doi.org/10.5281/zenodo.15832241","authors":["Matteo Contini","Sylvain Bonhommeau","Serge Bernard","Julien Barde"],"tags":["Artificial Intelligence","Citizen Sciences","Computer Vision","Coral Reef","Coral Reef Habitat","Deep Learning","Drone","Ecology"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.15832241","addedAt":"2026-08-31T06:40:02.533Z","updatedAt":"2026-08-31T06:40:02.533Z"},{"id":"doi:10.5281/zenodo.15832227","name":"Aerial images collected by an Unmanned Aerial Vehicle in Trou-Deau, Réunion - 2025-06-20","source":"datacite","abstract":"This dataset was collected by an Unmanned Aerial Vehicle in Trou-Deau, Réunion - 2025-06-20. Underwater or aerial images collected by scientists or citizens can have a wide variety of use for science, management, or conservation. These images can be annotated and shared to train IA models which can in turn predict the objects on the images. We provide a set of tools (hardware and software) to collect marine data, predict species or habitat, and provide maps. This dataset is part of larger collection referencing numerous underwater and aerial images Seatizen Altas. Methods, tools and scientific objectives are also described in a dedicated data paper. Survey information Camera: Hasselblad L1D-20c Number of images: 123 Total size: 0.99 Gb Flight start: 2025:06:20 05:47:56 Flight end: 2025:06:20 05:52:45 Flight duration: 0h 4min 49sec Median height: 39.9 m Area covered: 1.93 a Photogrammetry OpenDroneMap software was used to create an orthophoto from the raw images. Here is the list of parameters different from the default values for the orthophoto generation. For more details, you can read the log.json file or the 000_photogrammatry_report.pdf report. {'auto_boundary': True, 'cog': True, 'fast_orthophoto': True, 'feature_quality': 'ultra', 'max_concurrency': 128, 'optimize_disk_space': True, 'orthophoto_resolution': 1.0, 'rolling_shutter': True, 'skip_3dmodel': True} Generic folder structure YYYYMMDD_COUNTRYCODE-optionalplace_device_session-number ├── DCIM : folder to store videos and photos depending on the media collected. ├── GPS : folder to store any positioning related file. If any kind of correction is possible on files (e.g. Post-Processed Kinematic thanks to rinex data) then the distinction between device data and base data is made. If, on the other hand, only device position data are present and the files cannot be corrected by post-processing techniques (e.g. gpx files), then the distinction between base and device is not made and the files are placed directly at the root of the GPS folder. │ ├── BASE : files coming from rtk station or any static positioning instrument. │ └── DEVICE : files coming from the device. ├── METADATA : folder with general information files about the session. ├── PROCESSED_DATA : contain all the folders needed to store the results of the data processing of the current session. │ ├── BATHY : output folder for bathymetry raw data extracted from mission logs. │ ├── FRAMES : output folder for georeferenced frames extracted from DCIM videos. │ ├── IA : destination folder for image recognition predictions. │ └── PHOTOGRAMMETRY : destination folder for reconstructed models in photogrammetry. └── SENSORS : folder to store files coming from other sources (bathymetry data from the echosounder, log file from the autopilot, mission plan etc.). Software All the raw data was processed using our worflow. All predictions were generated by our inference pipeline. You can find all the necessary scripts to download this data in this repository. Enjoy your data with SeatizenDOI!","url":"https://doi.org/10.5281/zenodo.15832227","authors":["Matteo Contini","Sylvain Bonhommeau","Serge Bernard","Julien Barde"],"tags":["Artificial Intelligence","Citizen Sciences","Computer Vision","Coral Reef","Coral Reef Habitat","Deep Learning","Drone","Ecology"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.15832227","addedAt":"2026-08-31T06:40:02.533Z","updatedAt":"2026-08-31T06:40:02.533Z"},{"id":"doi:10.5281/zenodo.15832222","name":"Aerial images collected by an Unmanned Aerial Vehicle in Trou-Deau, Réunion - 2025-06-20","source":"datacite","abstract":"This dataset was collected by an Unmanned Aerial Vehicle in Trou-Deau, Réunion - 2025-06-20. Underwater or aerial images collected by scientists or citizens can have a wide variety of use for science, management, or conservation. These images can be annotated and shared to train IA models which can in turn predict the objects on the images. We provide a set of tools (hardware and software) to collect marine data, predict species or habitat, and provide maps. This dataset is part of larger collection referencing numerous underwater and aerial images Seatizen Altas. Methods, tools and scientific objectives are also described in a dedicated data paper. Survey information Camera: Hasselblad L1D-20c Number of images: 123 Total size: 0.99 Gb Flight start: 2025:06:20 05:47:56 Flight end: 2025:06:20 05:52:45 Flight duration: 0h 4min 49sec Median height: 39.9 m Area covered: 1.93 a Photogrammetry OpenDroneMap software was used to create an orthophoto from the raw images. Here is the list of parameters different from the default values for the orthophoto generation. For more details, you can read the log.json file or the 000_photogrammatry_report.pdf report. {'auto_boundary': True, 'cog': True, 'fast_orthophoto': True, 'feature_quality': 'ultra', 'max_concurrency': 128, 'optimize_disk_space': True, 'orthophoto_resolution': 1.0, 'rolling_shutter': True, 'skip_3dmodel': True} Generic folder structure YYYYMMDD_COUNTRYCODE-optionalplace_device_session-number ├── DCIM : folder to store videos and photos depending on the media collected. ├── GPS : folder to store any positioning related file. If any kind of correction is possible on files (e.g. Post-Processed Kinematic thanks to rinex data) then the distinction between device data and base data is made. If, on the other hand, only device position data are present and the files cannot be corrected by post-processing techniques (e.g. gpx files), then the distinction between base and device is not made and the files are placed directly at the root of the GPS folder. │ ├── BASE : files coming from rtk station or any static positioning instrument. │ └── DEVICE : files coming from the device. ├── METADATA : folder with general information files about the session. ├── PROCESSED_DATA : contain all the folders needed to store the results of the data processing of the current session. │ ├── BATHY : output folder for bathymetry raw data extracted from mission logs. │ ├── FRAMES : output folder for georeferenced frames extracted from DCIM videos. │ ├── IA : destination folder for image recognition predictions. │ └── PHOTOGRAMMETRY : destination folder for reconstructed models in photogrammetry. └── SENSORS : folder to store files coming from other sources (bathymetry data from the echosounder, log file from the autopilot, mission plan etc.). Software All the raw data was processed using our worflow. All predictions were generated by our inference pipeline. You can find all the necessary scripts to download this data in this repository. Enjoy your data with SeatizenDOI!","url":"https://doi.org/10.5281/zenodo.15832222","authors":["Matteo Contini","Sylvain Bonhommeau","Serge Bernard","Julien Barde"],"tags":["Artificial Intelligence","Citizen Sciences","Computer Vision","Coral Reef","Coral Reef Habitat","Deep Learning","Drone","Ecology"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.15832222","addedAt":"2026-08-31T06:40:02.533Z","updatedAt":"2026-08-31T06:40:02.533Z"},{"id":"doi:10.5281/zenodo.15832223","name":"Aerial images collected by an Unmanned Aerial Vehicle in Trou-Deau, Réunion - 2025-06-20","source":"datacite","abstract":"This dataset was collected by an Unmanned Aerial Vehicle in Trou-Deau, Réunion - 2025-06-20. Underwater or aerial images collected by scientists or citizens can have a wide variety of use for science, management, or conservation. These images can be annotated and shared to train IA models which can in turn predict the objects on the images. We provide a set of tools (hardware and software) to collect marine data, predict species or habitat, and provide maps. This dataset is part of larger collection referencing numerous underwater and aerial images Seatizen Altas. Methods, tools and scientific objectives are also described in a dedicated data paper. Survey information Camera: Hasselblad L1D-20c Number of images: 123 Total size: 0.99 Gb Flight start: 2025:06:20 05:47:56 Flight end: 2025:06:20 05:52:45 Flight duration: 0h 4min 49sec Median height: 39.9 m Area covered: 1.93 a Generic folder structure YYYYMMDD_COUNTRYCODE-optionalplace_device_session-number ├── DCIM : folder to store videos and photos depending on the media collected. ├── GPS : folder to store any positioning related file. If any kind of correction is possible on files (e.g. Post-Processed Kinematic thanks to rinex data) then the distinction between device data and base data is made. If, on the other hand, only device position data are present and the files cannot be corrected by post-processing techniques (e.g. gpx files), then the distinction between base and device is not made and the files are placed directly at the root of the GPS folder. │ ├── BASE : files coming from rtk station or any static positioning instrument. │ └── DEVICE : files coming from the device. ├── METADATA : folder with general information files about the session. ├── PROCESSED_DATA : contain all the folders needed to store the results of the data processing of the current session. │ ├── BATHY : output folder for bathymetry raw data extracted from mission logs. │ ├── FRAMES : output folder for georeferenced frames extracted from DCIM videos. │ ├── IA : destination folder for image recognition predictions. │ └── PHOTOGRAMMETRY : destination folder for reconstructed models in photogrammetry. └── SENSORS : folder to store files coming from other sources (bathymetry data from the echosounder, log file from the autopilot, mission plan etc.). Software All the raw data was processed using our worflow. All predictions were generated by our inference pipeline. You can find all the necessary scripts to download this data in this repository. Enjoy your data with SeatizenDOI!","url":"https://doi.org/10.5281/zenodo.15832223","authors":["Matteo Contini","Sylvain Bonhommeau","Serge Bernard","Julien Barde"],"tags":["Artificial Intelligence","Citizen Sciences","Computer Vision","Coral Reef","Coral Reef Habitat","Deep Learning","Drone","Ecology"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.15832223","addedAt":"2026-08-31T06:40:02.533Z","updatedAt":"2026-08-31T06:40:02.533Z"},{"id":"doi:10.5281/zenodo.15832159","name":"Aerial images collected by an Unmanned Aerial Vehicle in Tessier, Réunion - 2025-06-20","source":"datacite","abstract":"This dataset was collected by an Unmanned Aerial Vehicle in Tessier, Réunion - 2025-06-20. Underwater or aerial images collected by scientists or citizens can have a wide variety of use for science, management, or conservation. These images can be annotated and shared to train IA models which can in turn predict the objects on the images. We provide a set of tools (hardware and software) to collect marine data, predict species or habitat, and provide maps. This dataset is part of larger collection referencing numerous underwater and aerial images Seatizen Altas. Methods, tools and scientific objectives are also described in a dedicated data paper. Survey information Camera: Hasselblad L1D-20c Number of images: 543 Total size: 5.97 Gb Flight start: 2025:06:20 06:06:21 Flight end: 2025:06:20 06:32:20 Flight duration: 0h 25min 59sec Median height: 59.9 m Area covered: 7.18 a Photogrammetry OpenDroneMap software was used to create an orthophoto from the raw images. Here is the list of parameters different from the default values for the orthophoto generation. For more details, you can read the log.json file or the 000_photogrammatry_report.pdf report. {'auto_boundary': True, 'cog': True, 'fast_orthophoto': True, 'feature_quality': 'ultra', 'max_concurrency': 128, 'optimize_disk_space': True, 'orthophoto_resolution': 1.0, 'rolling_shutter': True, 'skip_3dmodel': True} Generic folder structure YYYYMMDD_COUNTRYCODE-optionalplace_device_session-number ├── DCIM : folder to store videos and photos depending on the media collected. ├── GPS : folder to store any positioning related file. If any kind of correction is possible on files (e.g. Post-Processed Kinematic thanks to rinex data) then the distinction between device data and base data is made. If, on the other hand, only device position data are present and the files cannot be corrected by post-processing techniques (e.g. gpx files), then the distinction between base and device is not made and the files are placed directly at the root of the GPS folder. │ ├── BASE : files coming from rtk station or any static positioning instrument. │ └── DEVICE : files coming from the device. ├── METADATA : folder with general information files about the session. ├── PROCESSED_DATA : contain all the folders needed to store the results of the data processing of the current session. │ ├── BATHY : output folder for bathymetry raw data extracted from mission logs. │ ├── FRAMES : output folder for georeferenced frames extracted from DCIM videos. │ ├── IA : destination folder for image recognition predictions. │ └── PHOTOGRAMMETRY : destination folder for reconstructed models in photogrammetry. └── SENSORS : folder to store files coming from other sources (bathymetry data from the echosounder, log file from the autopilot, mission plan etc.). Software All the raw data was processed using our worflow. All predictions were generated by our inference pipeline. You can find all the necessary scripts to download this data in this repository. Enjoy your data with SeatizenDOI!","url":"https://doi.org/10.5281/zenodo.15832159","authors":["Matteo Contini","Sylvain Bonhommeau","Serge Bernard","Julien Barde"],"tags":["Artificial Intelligence","Citizen Sciences","Computer Vision","Coral Reef","Coral Reef Habitat","Deep Learning","Drone","Ecology"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.15832159","addedAt":"2026-08-31T06:40:02.533Z","updatedAt":"2026-08-31T06:40:02.533Z"},{"id":"doi:10.5281/zenodo.15832088","name":"Aerial images collected by an Unmanned Aerial Vehicle in Tessier, Réunion - 2025-06-20","source":"datacite","abstract":"This dataset was collected by an Unmanned Aerial Vehicle in Tessier, Réunion - 2025-06-20. Underwater or aerial images collected by scientists or citizens can have a wide variety of use for science, management, or conservation. These images can be annotated and shared to train IA models which can in turn predict the objects on the images. We provide a set of tools (hardware and software) to collect marine data, predict species or habitat, and provide maps. This dataset is part of larger collection referencing numerous underwater and aerial images Seatizen Altas. Methods, tools and scientific objectives are also described in a dedicated data paper. Survey information Camera: Hasselblad L1D-20c Number of images: 543 Total size: 5.97 Gb Flight start: 2025:06:20 06:06:21 Flight end: 2025:06:20 06:32:20 Flight duration: 0h 25min 59sec Median height: 59.9 m Area covered: 7.18 a Photogrammetry OpenDroneMap software was used to create an orthophoto from the raw images. Here is the list of parameters different from the default values for the orthophoto generation. For more details, you can read the log.json file or the 000_photogrammatry_report.pdf report. {'auto_boundary': True, 'cog': True, 'fast_orthophoto': True, 'feature_quality': 'ultra', 'max_concurrency': 128, 'optimize_disk_space': True, 'orthophoto_resolution': 1.0, 'rolling_shutter': True, 'skip_3dmodel': True} Generic folder structure YYYYMMDD_COUNTRYCODE-optionalplace_device_session-number ├── DCIM : folder to store videos and photos depending on the media collected. ├── GPS : folder to store any positioning related file. If any kind of correction is possible on files (e.g. Post-Processed Kinematic thanks to rinex data) then the distinction between device data and base data is made. If, on the other hand, only device position data are present and the files cannot be corrected by post-processing techniques (e.g. gpx files), then the distinction between base and device is not made and the files are placed directly at the root of the GPS folder. │ ├── BASE : files coming from rtk station or any static positioning instrument. │ └── DEVICE : files coming from the device. ├── METADATA : folder with general information files about the session. ├── PROCESSED_DATA : contain all the folders needed to store the results of the data processing of the current session. │ ├── BATHY : output folder for bathymetry raw data extracted from mission logs. │ ├── FRAMES : output folder for georeferenced frames extracted from DCIM videos. │ ├── IA : destination folder for image recognition predictions. │ └── PHOTOGRAMMETRY : destination folder for reconstructed models in photogrammetry. └── SENSORS : folder to store files coming from other sources (bathymetry data from the echosounder, log file from the autopilot, mission plan etc.). Software All the raw data was processed using our worflow. All predictions were generated by our inference pipeline. You can find all the necessary scripts to download this data in this repository. Enjoy your data with SeatizenDOI!","url":"https://doi.org/10.5281/zenodo.15832088","authors":["Matteo Contini","Sylvain Bonhommeau","Serge Bernard","Julien Barde"],"tags":["Artificial Intelligence","Citizen Sciences","Computer Vision","Coral Reef","Coral Reef Habitat","Deep Learning","Drone","Ecology"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.15832088","addedAt":"2026-08-31T06:40:02.533Z","updatedAt":"2026-08-31T06:40:02.533Z"},{"id":"doi:10.5281/zenodo.15832089","name":"Aerial images collected by an Unmanned Aerial Vehicle in Tessier, Réunion - 2025-06-20","source":"datacite","abstract":"This dataset was collected by an Unmanned Aerial Vehicle in Tessier, Réunion - 2025-06-20. Underwater or aerial images collected by scientists or citizens can have a wide variety of use for science, management, or conservation. These images can be annotated and shared to train IA models which can in turn predict the objects on the images. We provide a set of tools (hardware and software) to collect marine data, predict species or habitat, and provide maps. This dataset is part of larger collection referencing numerous underwater and aerial images Seatizen Altas. Methods, tools and scientific objectives are also described in a dedicated data paper. Survey information Camera: Hasselblad L1D-20c Number of images: 543 Total size: 5.97 Gb Flight start: 2025:06:20 06:06:21 Flight end: 2025:06:20 06:32:20 Flight duration: 0h 25min 59sec Median height: 59.9 m Area covered: 7.18 a Generic folder structure YYYYMMDD_COUNTRYCODE-optionalplace_device_session-number ├── DCIM : folder to store videos and photos depending on the media collected. ├── GPS : folder to store any positioning related file. If any kind of correction is possible on files (e.g. Post-Processed Kinematic thanks to rinex data) then the distinction between device data and base data is made. If, on the other hand, only device position data are present and the files cannot be corrected by post-processing techniques (e.g. gpx files), then the distinction between base and device is not made and the files are placed directly at the root of the GPS folder. │ ├── BASE : files coming from rtk station or any static positioning instrument. │ └── DEVICE : files coming from the device. ├── METADATA : folder with general information files about the session. ├── PROCESSED_DATA : contain all the folders needed to store the results of the data processing of the current session. │ ├── BATHY : output folder for bathymetry raw data extracted from mission logs. │ ├── FRAMES : output folder for georeferenced frames extracted from DCIM videos. │ ├── IA : destination folder for image recognition predictions. │ └── PHOTOGRAMMETRY : destination folder for reconstructed models in photogrammetry. └── SENSORS : folder to store files coming from other sources (bathymetry data from the echosounder, log file from the autopilot, mission plan etc.). Software All the raw data was processed using our worflow. All predictions were generated by our inference pipeline. You can find all the necessary scripts to download this data in this repository. Enjoy your data with SeatizenDOI!","url":"https://doi.org/10.5281/zenodo.15832089","authors":["Matteo Contini","Sylvain Bonhommeau","Serge Bernard","Julien Barde"],"tags":["Artificial Intelligence","Citizen Sciences","Computer Vision","Coral Reef","Coral Reef Habitat","Deep Learning","Drone","Ecology"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.15832089","addedAt":"2026-08-31T06:40:02.533Z","updatedAt":"2026-08-31T06:40:02.533Z"},{"id":"doi:10.5281/zenodo.15832016","name":"Aerial images collected by an Unmanned Aerial Vehicle in Tessier, Réunion - 2025-06-20","source":"datacite","abstract":"This dataset was collected by an Unmanned Aerial Vehicle in Tessier, Réunion - 2025-06-20. Underwater or aerial images collected by scientists or citizens can have a wide variety of use for science, management, or conservation. These images can be annotated and shared to train IA models which can in turn predict the objects on the images. We provide a set of tools (hardware and software) to collect marine data, predict species or habitat, and provide maps. This dataset is part of larger collection referencing numerous underwater and aerial images Seatizen Altas. Methods, tools and scientific objectives are also described in a dedicated data paper. Survey information Camera: Hasselblad L1D-20c Number of images: 725 Total size: 5.77 Gb Flight start: 2025:06:20 04:56:16 Flight end: 2025:06:20 05:40:05 Flight duration: 0h 43min 49sec Median height: 59.9 m Area covered: 10.08 a Photogrammetry OpenDroneMap software was used to create an orthophoto from the raw images. Here is the list of parameters different from the default values for the orthophoto generation. For more details, you can read the log.json file or the 000_photogrammatry_report.pdf report. {'auto_boundary': True, 'cog': True, 'fast_orthophoto': True, 'feature_quality': 'ultra', 'max_concurrency': 128, 'optimize_disk_space': True, 'orthophoto_resolution': 1.0, 'rolling_shutter': True, 'skip_3dmodel': True} Generic folder structure YYYYMMDD_COUNTRYCODE-optionalplace_device_session-number ├── DCIM : folder to store videos and photos depending on the media collected. ├── GPS : folder to store any positioning related file. If any kind of correction is possible on files (e.g. Post-Processed Kinematic thanks to rinex data) then the distinction between device data and base data is made. If, on the other hand, only device position data are present and the files cannot be corrected by post-processing techniques (e.g. gpx files), then the distinction between base and device is not made and the files are placed directly at the root of the GPS folder. │ ├── BASE : files coming from rtk station or any static positioning instrument. │ └── DEVICE : files coming from the device. ├── METADATA : folder with general information files about the session. ├── PROCESSED_DATA : contain all the folders needed to store the results of the data processing of the current session. │ ├── BATHY : output folder for bathymetry raw data extracted from mission logs. │ ├── FRAMES : output folder for georeferenced frames extracted from DCIM videos. │ ├── IA : destination folder for image recognition predictions. │ └── PHOTOGRAMMETRY : destination folder for reconstructed models in photogrammetry. └── SENSORS : folder to store files coming from other sources (bathymetry data from the echosounder, log file from the autopilot, mission plan etc.). Software All the raw data was processed using our worflow. All predictions were generated by our inference pipeline. You can find all the necessary scripts to download this data in this repository. Enjoy your data with SeatizenDOI!","url":"https://doi.org/10.5281/zenodo.15832016","authors":["Matteo Contini","Sylvain Bonhommeau","Serge Bernard","Julien Barde"],"tags":["Artificial Intelligence","Citizen Sciences","Computer Vision","Coral Reef","Coral Reef Habitat","Deep Learning","Drone","Ecology"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.15832016","addedAt":"2026-08-31T06:40:02.533Z","updatedAt":"2026-08-31T06:40:02.533Z"},{"id":"doi:10.5281/zenodo.15832060","name":"Aerial images collected by an Unmanned Aerial Vehicle in Tessier, Réunion - 2025-06-20","source":"datacite","abstract":"This dataset was collected by an Unmanned Aerial Vehicle in Tessier, Réunion - 2025-06-20. Underwater or aerial images collected by scientists or citizens can have a wide variety of use for science, management, or conservation. These images can be annotated and shared to train IA models which can in turn predict the objects on the images. We provide a set of tools (hardware and software) to collect marine data, predict species or habitat, and provide maps. This dataset is part of larger collection referencing numerous underwater and aerial images Seatizen Altas. Methods, tools and scientific objectives are also described in a dedicated data paper. Survey information Camera: Hasselblad L1D-20c Number of images: 725 Total size: 5.77 Gb Flight start: 2025:06:20 04:56:16 Flight end: 2025:06:20 05:40:05 Flight duration: 0h 43min 49sec Median height: 59.9 m Area covered: 10.08 a Photogrammetry OpenDroneMap software was used to create an orthophoto from the raw images. Here is the list of parameters different from the default values for the orthophoto generation. For more details, you can read the log.json file or the 000_photogrammatry_report.pdf report. {'auto_boundary': True, 'cog': True, 'fast_orthophoto': True, 'feature_quality': 'ultra', 'max_concurrency': 128, 'optimize_disk_space': True, 'orthophoto_resolution': 1.0, 'rolling_shutter': True, 'skip_3dmodel': True} Generic folder structure YYYYMMDD_COUNTRYCODE-optionalplace_device_session-number ├── DCIM : folder to store videos and photos depending on the media collected. ├── GPS : folder to store any positioning related file. If any kind of correction is possible on files (e.g. Post-Processed Kinematic thanks to rinex data) then the distinction between device data and base data is made. If, on the other hand, only device position data are present and the files cannot be corrected by post-processing techniques (e.g. gpx files), then the distinction between base and device is not made and the files are placed directly at the root of the GPS folder. │ ├── BASE : files coming from rtk station or any static positioning instrument. │ └── DEVICE : files coming from the device. ├── METADATA : folder with general information files about the session. ├── PROCESSED_DATA : contain all the folders needed to store the results of the data processing of the current session. │ ├── BATHY : output folder for bathymetry raw data extracted from mission logs. │ ├── FRAMES : output folder for georeferenced frames extracted from DCIM videos. │ ├── IA : destination folder for image recognition predictions. │ └── PHOTOGRAMMETRY : destination folder for reconstructed models in photogrammetry. └── SENSORS : folder to store files coming from other sources (bathymetry data from the echosounder, log file from the autopilot, mission plan etc.). Software All the raw data was processed using our worflow. All predictions were generated by our inference pipeline. You can find all the necessary scripts to download this data in this repository. Enjoy your data with SeatizenDOI!","url":"https://doi.org/10.5281/zenodo.15832060","authors":["Matteo Contini","Sylvain Bonhommeau","Serge Bernard","Julien Barde"],"tags":["Artificial Intelligence","Citizen Sciences","Computer Vision","Coral Reef","Coral Reef Habitat","Deep Learning","Drone","Ecology"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.15832060","addedAt":"2026-08-31T06:40:02.533Z","updatedAt":"2026-08-31T06:40:02.533Z"},{"id":"doi:10.5281/zenodo.15832017","name":"Aerial images collected by an Unmanned Aerial Vehicle in Tessier, Réunion - 2025-06-20","source":"datacite","abstract":"This dataset was collected by an Unmanned Aerial Vehicle in Tessier, Réunion - 2025-06-20. Underwater or aerial images collected by scientists or citizens can have a wide variety of use for science, management, or conservation. These images can be annotated and shared to train IA models which can in turn predict the objects on the images. We provide a set of tools (hardware and software) to collect marine data, predict species or habitat, and provide maps. This dataset is part of larger collection referencing numerous underwater and aerial images Seatizen Altas. Methods, tools and scientific objectives are also described in a dedicated data paper. Survey information Camera: Hasselblad L1D-20c Number of images: 725 Total size: 5.77 Gb Flight start: 2025:06:20 04:56:16 Flight end: 2025:06:20 05:40:05 Flight duration: 0h 43min 49sec Median height: 59.9 m Area covered: 10.08 a Generic folder structure YYYYMMDD_COUNTRYCODE-optionalplace_device_session-number ├── DCIM : folder to store videos and photos depending on the media collected. ├── GPS : folder to store any positioning related file. If any kind of correction is possible on files (e.g. Post-Processed Kinematic thanks to rinex data) then the distinction between device data and base data is made. If, on the other hand, only device position data are present and the files cannot be corrected by post-processing techniques (e.g. gpx files), then the distinction between base and device is not made and the files are placed directly at the root of the GPS folder. │ ├── BASE : files coming from rtk station or any static positioning instrument. │ └── DEVICE : files coming from the device. ├── METADATA : folder with general information files about the session. ├── PROCESSED_DATA : contain all the folders needed to store the results of the data processing of the current session. │ ├── BATHY : output folder for bathymetry raw data extracted from mission logs. │ ├── FRAMES : output folder for georeferenced frames extracted from DCIM videos. │ ├── IA : destination folder for image recognition predictions. │ └── PHOTOGRAMMETRY : destination folder for reconstructed models in photogrammetry. └── SENSORS : folder to store files coming from other sources (bathymetry data from the echosounder, log file from the autopilot, mission plan etc.). Software All the raw data was processed using our worflow. All predictions were generated by our inference pipeline. You can find all the necessary scripts to download this data in this repository. Enjoy your data with SeatizenDOI!","url":"https://doi.org/10.5281/zenodo.15832017","authors":["Matteo Contini","Sylvain Bonhommeau","Serge Bernard","Julien Barde"],"tags":["Artificial Intelligence","Citizen Sciences","Computer Vision","Coral Reef","Coral Reef Habitat","Deep Learning","Drone","Ecology"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.15832017","addedAt":"2026-08-31T06:40:02.533Z","updatedAt":"2026-08-31T06:40:02.533Z"},{"id":"doi:10.5281/zenodo.15831995","name":"Aerial images collected by an Unmanned Aerial Vehicle in Trou-Deau, Réunion - 2025-06-19","source":"datacite","abstract":"This dataset was collected by an Unmanned Aerial Vehicle in Trou-Deau, Réunion - 2025-06-19. Underwater or aerial images collected by scientists or citizens can have a wide variety of use for science, management, or conservation. These images can be annotated and shared to train IA models which can in turn predict the objects on the images. We provide a set of tools (hardware and software) to collect marine data, predict species or habitat, and provide maps. This dataset is part of larger collection referencing numerous underwater and aerial images Seatizen Altas. Methods, tools and scientific objectives are also described in a dedicated data paper. Survey information Camera: Hasselblad L1D-20c Number of images: 212 Total size: 2.69 Gb Flight start: 2025:06:19 06:24:30 Flight end: 2025:06:19 06:32:36 Flight duration: 0h 8min 6sec Median height: 59.9 m Area covered: 2.35 a Photogrammetry OpenDroneMap software was used to create an orthophoto from the raw images. Here is the list of parameters different from the default values for the orthophoto generation. For more details, you can read the log.json file or the 000_photogrammatry_report.pdf report. {'auto_boundary': True, 'cog': True, 'fast_orthophoto': True, 'feature_quality': 'ultra', 'max_concurrency': 128, 'optimize_disk_space': True, 'orthophoto_resolution': 1.0, 'rolling_shutter': True, 'skip_3dmodel': True} Generic folder structure YYYYMMDD_COUNTRYCODE-optionalplace_device_session-number ├── DCIM : folder to store videos and photos depending on the media collected. ├── GPS : folder to store any positioning related file. If any kind of correction is possible on files (e.g. Post-Processed Kinematic thanks to rinex data) then the distinction between device data and base data is made. If, on the other hand, only device position data are present and the files cannot be corrected by post-processing techniques (e.g. gpx files), then the distinction between base and device is not made and the files are placed directly at the root of the GPS folder. │ ├── BASE : files coming from rtk station or any static positioning instrument. │ └── DEVICE : files coming from the device. ├── METADATA : folder with general information files about the session. ├── PROCESSED_DATA : contain all the folders needed to store the results of the data processing of the current session. │ ├── BATHY : output folder for bathymetry raw data extracted from mission logs. │ ├── FRAMES : output folder for georeferenced frames extracted from DCIM videos. │ ├── IA : destination folder for image recognition predictions. │ └── PHOTOGRAMMETRY : destination folder for reconstructed models in photogrammetry. └── SENSORS : folder to store files coming from other sources (bathymetry data from the echosounder, log file from the autopilot, mission plan etc.). Software All the raw data was processed using our worflow. All predictions were generated by our inference pipeline. You can find all the necessary scripts to download this data in this repository. Enjoy your data with SeatizenDOI!","url":"https://doi.org/10.5281/zenodo.15831995","authors":["Matteo Contini","Sylvain Bonhommeau","Serge Bernard","Julien Barde"],"tags":["Artificial Intelligence","Citizen Sciences","Computer Vision","Coral Reef","Coral Reef Habitat","Deep Learning","Drone","Ecology"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.15831995","addedAt":"2026-08-31T06:40:02.533Z","updatedAt":"2026-08-31T06:40:02.533Z"},{"id":"doi:10.5281/zenodo.15831973","name":"Aerial images collected by an Unmanned Aerial Vehicle in Trou-Deau, Réunion - 2025-06-19","source":"datacite","abstract":"This dataset was collected by an Unmanned Aerial Vehicle in Trou-Deau, Réunion - 2025-06-19. Underwater or aerial images collected by scientists or citizens can have a wide variety of use for science, management, or conservation. These images can be annotated and shared to train IA models which can in turn predict the objects on the images. We provide a set of tools (hardware and software) to collect marine data, predict species or habitat, and provide maps. This dataset is part of larger collection referencing numerous underwater and aerial images Seatizen Altas. Methods, tools and scientific objectives are also described in a dedicated data paper. Survey information Camera: Hasselblad L1D-20c Number of images: 212 Total size: 2.69 Gb Flight start: 2025:06:19 06:24:30 Flight end: 2025:06:19 06:32:36 Flight duration: 0h 8min 6sec Median height: 59.9 m Area covered: 2.35 a Photogrammetry OpenDroneMap software was used to create an orthophoto from the raw images. Here is the list of parameters different from the default values for the orthophoto generation. For more details, you can read the log.json file or the 000_photogrammatry_report.pdf report. {'auto_boundary': True, 'cog': True, 'fast_orthophoto': True, 'feature_quality': 'ultra', 'max_concurrency': 128, 'optimize_disk_space': True, 'orthophoto_resolution': 1.0, 'rolling_shutter': True, 'skip_3dmodel': True} Generic folder structure YYYYMMDD_COUNTRYCODE-optionalplace_device_session-number ├── DCIM : folder to store videos and photos depending on the media collected. ├── GPS : folder to store any positioning related file. If any kind of correction is possible on files (e.g. Post-Processed Kinematic thanks to rinex data) then the distinction between device data and base data is made. If, on the other hand, only device position data are present and the files cannot be corrected by post-processing techniques (e.g. gpx files), then the distinction between base and device is not made and the files are placed directly at the root of the GPS folder. │ ├── BASE : files coming from rtk station or any static positioning instrument. │ └── DEVICE : files coming from the device. ├── METADATA : folder with general information files about the session. ├── PROCESSED_DATA : contain all the folders needed to store the results of the data processing of the current session. │ ├── BATHY : output folder for bathymetry raw data extracted from mission logs. │ ├── FRAMES : output folder for georeferenced frames extracted from DCIM videos. │ ├── IA : destination folder for image recognition predictions. │ └── PHOTOGRAMMETRY : destination folder for reconstructed models in photogrammetry. └── SENSORS : folder to store files coming from other sources (bathymetry data from the echosounder, log file from the autopilot, mission plan etc.). Software All the raw data was processed using our worflow. All predictions were generated by our inference pipeline. You can find all the necessary scripts to download this data in this repository. Enjoy your data with SeatizenDOI!","url":"https://doi.org/10.5281/zenodo.15831973","authors":["Matteo Contini","Sylvain Bonhommeau","Serge Bernard","Julien Barde"],"tags":["Artificial Intelligence","Citizen Sciences","Computer Vision","Coral Reef","Coral Reef Habitat","Deep Learning","Drone","Ecology"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.15831973","addedAt":"2026-08-31T06:40:02.533Z","updatedAt":"2026-08-31T06:40:02.533Z"},{"id":"doi:10.5281/zenodo.15831974","name":"Aerial images collected by an Unmanned Aerial Vehicle in Trou-Deau, Réunion - 2025-06-19","source":"datacite","abstract":"This dataset was collected by an Unmanned Aerial Vehicle in Trou-Deau, Réunion - 2025-06-19. Underwater or aerial images collected by scientists or citizens can have a wide variety of use for science, management, or conservation. These images can be annotated and shared to train IA models which can in turn predict the objects on the images. We provide a set of tools (hardware and software) to collect marine data, predict species or habitat, and provide maps. This dataset is part of larger collection referencing numerous underwater and aerial images Seatizen Altas. Methods, tools and scientific objectives are also described in a dedicated data paper. Survey information Camera: Hasselblad L1D-20c Number of images: 212 Total size: 2.69 Gb Flight start: 2025:06:19 06:24:30 Flight end: 2025:06:19 06:32:36 Flight duration: 0h 8min 6sec Median height: 59.9 m Area covered: 2.35 a Generic folder structure YYYYMMDD_COUNTRYCODE-optionalplace_device_session-number ├── DCIM : folder to store videos and photos depending on the media collected. ├── GPS : folder to store any positioning related file. If any kind of correction is possible on files (e.g. Post-Processed Kinematic thanks to rinex data) then the distinction between device data and base data is made. If, on the other hand, only device position data are present and the files cannot be corrected by post-processing techniques (e.g. gpx files), then the distinction between base and device is not made and the files are placed directly at the root of the GPS folder. │ ├── BASE : files coming from rtk station or any static positioning instrument. │ └── DEVICE : files coming from the device. ├── METADATA : folder with general information files about the session. ├── PROCESSED_DATA : contain all the folders needed to store the results of the data processing of the current session. │ ├── BATHY : output folder for bathymetry raw data extracted from mission logs. │ ├── FRAMES : output folder for georeferenced frames extracted from DCIM videos. │ ├── IA : destination folder for image recognition predictions. │ └── PHOTOGRAMMETRY : destination folder for reconstructed models in photogrammetry. └── SENSORS : folder to store files coming from other sources (bathymetry data from the echosounder, log file from the autopilot, mission plan etc.). Software All the raw data was processed using our worflow. All predictions were generated by our inference pipeline. You can find all the necessary scripts to download this data in this repository. Enjoy your data with SeatizenDOI!","url":"https://doi.org/10.5281/zenodo.15831974","authors":["Matteo Contini","Sylvain Bonhommeau","Serge Bernard","Julien Barde"],"tags":["Artificial Intelligence","Citizen Sciences","Computer Vision","Coral Reef","Coral Reef Habitat","Deep Learning","Drone","Ecology"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.15831974","addedAt":"2026-08-31T06:40:02.533Z","updatedAt":"2026-08-31T06:40:02.533Z"},{"id":"doi:10.5281/zenodo.15831879","name":"Aerial images collected by an Unmanned Aerial Vehicle in Trou-Deau, Réunion - 2025-06-19","source":"datacite","abstract":"This dataset was collected by an Unmanned Aerial Vehicle in Trou-Deau, Réunion - 2025-06-19. Underwater or aerial images collected by scientists or citizens can have a wide variety of use for science, management, or conservation. These images can be annotated and shared to train IA models which can in turn predict the objects on the images. We provide a set of tools (hardware and software) to collect marine data, predict species or habitat, and provide maps. This dataset is part of larger collection referencing numerous underwater and aerial images Seatizen Altas. Methods, tools and scientific objectives are also described in a dedicated data paper. Survey information Camera: Hasselblad L1D-20c Number of images: 1073 Total size: 8.07 Gb Flight start: 2025:06:19 04:51:01 Flight end: 2025:06:19 05:31:53 Flight duration: 0h 40min 52sec Median height: 39.9 m Area covered: 6.4 a Photogrammetry OpenDroneMap software was used to create an orthophoto from the raw images. Here is the list of parameters different from the default values for the orthophoto generation. For more details, you can read the log.json file or the 000_photogrammatry_report.pdf report. {'auto_boundary': True, 'cog': True, 'fast_orthophoto': True, 'feature_quality': 'ultra', 'max_concurrency': 128, 'optimize_disk_space': True, 'orthophoto_resolution': 1.0, 'rolling_shutter': True, 'skip_3dmodel': True} Generic folder structure YYYYMMDD_COUNTRYCODE-optionalplace_device_session-number ├── DCIM : folder to store videos and photos depending on the media collected. ├── GPS : folder to store any positioning related file. If any kind of correction is possible on files (e.g. Post-Processed Kinematic thanks to rinex data) then the distinction between device data and base data is made. If, on the other hand, only device position data are present and the files cannot be corrected by post-processing techniques (e.g. gpx files), then the distinction between base and device is not made and the files are placed directly at the root of the GPS folder. │ ├── BASE : files coming from rtk station or any static positioning instrument. │ └── DEVICE : files coming from the device. ├── METADATA : folder with general information files about the session. ├── PROCESSED_DATA : contain all the folders needed to store the results of the data processing of the current session. │ ├── BATHY : output folder for bathymetry raw data extracted from mission logs. │ ├── FRAMES : output folder for georeferenced frames extracted from DCIM videos. │ ├── IA : destination folder for image recognition predictions. │ └── PHOTOGRAMMETRY : destination folder for reconstructed models in photogrammetry. └── SENSORS : folder to store files coming from other sources (bathymetry data from the echosounder, log file from the autopilot, mission plan etc.). Software All the raw data was processed using our worflow. All predictions were generated by our inference pipeline. You can find all the necessary scripts to download this data in this repository. Enjoy your data with SeatizenDOI!","url":"https://doi.org/10.5281/zenodo.15831879","authors":["Matteo Contini","Sylvain Bonhommeau","Serge Bernard","Julien Barde"],"tags":["Artificial Intelligence","Citizen Sciences","Computer Vision","Coral Reef","Coral Reef Habitat","Deep Learning","Drone","Ecology"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.15831879","addedAt":"2026-08-31T06:40:02.533Z","updatedAt":"2026-08-31T06:40:02.533Z"},{"id":"doi:10.5281/zenodo.15831938","name":"Aerial images collected by an Unmanned Aerial Vehicle in Trou-Deau, Réunion - 2025-06-19","source":"datacite","abstract":"This dataset was collected by an Unmanned Aerial Vehicle in Trou-Deau, Réunion - 2025-06-19. Underwater or aerial images collected by scientists or citizens can have a wide variety of use for science, management, or conservation. These images can be annotated and shared to train IA models which can in turn predict the objects on the images. We provide a set of tools (hardware and software) to collect marine data, predict species or habitat, and provide maps. This dataset is part of larger collection referencing numerous underwater and aerial images Seatizen Altas. Methods, tools and scientific objectives are also described in a dedicated data paper. Survey information Camera: Hasselblad L1D-20c Number of images: 1073 Total size: 8.07 Gb Flight start: 2025:06:19 04:51:01 Flight end: 2025:06:19 05:31:53 Flight duration: 0h 40min 52sec Median height: 39.9 m Area covered: 6.4 a Photogrammetry OpenDroneMap software was used to create an orthophoto from the raw images. Here is the list of parameters different from the default values for the orthophoto generation. For more details, you can read the log.json file or the 000_photogrammatry_report.pdf report. {'auto_boundary': True, 'cog': True, 'fast_orthophoto': True, 'feature_quality': 'ultra', 'max_concurrency': 128, 'optimize_disk_space': True, 'orthophoto_resolution': 1.0, 'rolling_shutter': True, 'skip_3dmodel': True} Generic folder structure YYYYMMDD_COUNTRYCODE-optionalplace_device_session-number ├── DCIM : folder to store videos and photos depending on the media collected. ├── GPS : folder to store any positioning related file. If any kind of correction is possible on files (e.g. Post-Processed Kinematic thanks to rinex data) then the distinction between device data and base data is made. If, on the other hand, only device position data are present and the files cannot be corrected by post-processing techniques (e.g. gpx files), then the distinction between base and device is not made and the files are placed directly at the root of the GPS folder. │ ├── BASE : files coming from rtk station or any static positioning instrument. │ └── DEVICE : files coming from the device. ├─��� METADATA : folder with general information files about the session. ├── PROCESSED_DATA : contain all the folders needed to store the results of the data processing of the current session. │ ├── BATHY : output folder for bathymetry raw data extracted from mission logs. │ ├── FRAMES : output folder for georeferenced frames extracted from DCIM videos. │ ├── IA : destination folder for image recognition predictions. │ └── PHOTOGRAMMETRY : destination folder for reconstructed models in photogrammetry. └── SENSORS : folder to store files coming from other sources (bathymetry data from the echosounder, log file from the autopilot, mission plan etc.). Software All the raw data was processed using our worflow. All predictions were generated by our inference pipeline. You can find all the necessary scripts to download this data in this repository. Enjoy your data with SeatizenDOI!","url":"https://doi.org/10.5281/zenodo.15831938","authors":["Matteo Contini","Sylvain Bonhommeau","Serge Bernard","Julien Barde"],"tags":["Artificial Intelligence","Citizen Sciences","Computer Vision","Coral Reef","Coral Reef Habitat","Deep Learning","Drone","Ecology"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.15831938","addedAt":"2026-08-31T06:40:02.533Z","updatedAt":"2026-08-31T06:40:02.533Z"},{"id":"doi:10.5281/zenodo.15831880","name":"Aerial images collected by an Unmanned Aerial Vehicle in Trou-Deau, Réunion - 2025-06-19","source":"datacite","abstract":"This dataset was collected by an Unmanned Aerial Vehicle in Trou-Deau, Réunion - 2025-06-19. Underwater or aerial images collected by scientists or citizens can have a wide variety of use for science, management, or conservation. These images can be annotated and shared to train IA models which can in turn predict the objects on the images. We provide a set of tools (hardware and software) to collect marine data, predict species or habitat, and provide maps. This dataset is part of larger collection referencing numerous underwater and aerial images Seatizen Altas. Methods, tools and scientific objectives are also described in a dedicated data paper. Survey information Camera: Hasselblad L1D-20c Number of images: 1073 Total size: 8.07 Gb Flight start: 2025:06:19 04:51:01 Flight end: 2025:06:19 05:31:53 Flight duration: 0h 40min 52sec Median height: 39.9 m Area covered: 6.4 a Generic folder structure YYYYMMDD_COUNTRYCODE-optionalplace_device_session-number ├── DCIM : folder to store videos and photos depending on the media collected. ├── GPS : folder to store any positioning related file. If any kind of correction is possible on files (e.g. Post-Processed Kinematic thanks to rinex data) then the distinction between device data and base data is made. If, on the other hand, only device position data are present and the files cannot be corrected by post-processing techniques (e.g. gpx files), then the distinction between base and device is not made and the files are placed directly at the root of the GPS folder. │ ├── BASE : files coming from rtk station or any static positioning instrument. │ └── DEVICE : files coming from the device. ├── METADATA : folder with general information files about the session. ├── PROCESSED_DATA : contain all the folders needed to store the results of the data processing of the current session. │ ├── BATHY : output folder for bathymetry raw data extracted from mission logs. │ ├── FRAMES : output folder for georeferenced frames extracted from DCIM videos. │ ├── IA : destination folder for image recognition predictions. │ └── PHOTOGRAMMETRY : destination folder for reconstructed models in photogrammetry. └── SENSORS : folder to store files coming from other sources (bathymetry data from the echosounder, log file from the autopilot, mission plan etc.). Software All the raw data was processed using our worflow. All predictions were generated by our inference pipeline. You can find all the necessary scripts to download this data in this repository. Enjoy your data with SeatizenDOI!","url":"https://doi.org/10.5281/zenodo.15831880","authors":["Matteo Contini","Sylvain Bonhommeau","Serge Bernard","Julien Barde"],"tags":["Artificial Intelligence","Citizen Sciences","Computer Vision","Coral Reef","Coral Reef Habitat","Deep Learning","Drone","Ecology"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.15831880","addedAt":"2026-08-31T06:40:02.533Z","updatedAt":"2026-08-31T06:40:02.533Z"},{"id":"doi:10.5281/zenodo.15831857","name":"Aerial images collected by an Unmanned Aerial Vehicle in St-Leu, Réunion - 2025-06-17","source":"datacite","abstract":"This dataset was collected by an Unmanned Aerial Vehicle in St-Leu, Réunion - 2025-06-17. Underwater or aerial images collected by scientists or citizens can have a wide variety of use for science, management, or conservation. These images can be annotated and shared to train IA models which can in turn predict the objects on the images. We provide a set of tools (hardware and software) to collect marine data, predict species or habitat, and provide maps. This dataset is part of larger collection referencing numerous underwater and aerial images Seatizen Altas. Methods, tools and scientific objectives are also described in a dedicated data paper. Survey information Camera: Hasselblad L1D-20c Number of images: 86 Total size: 1.04 Gb Flight start: 2025:06:17 06:36:23 Flight end: 2025:06:17 06:39:59 Flight duration: 0h 3min 36sec Median height: 59.9 m Area covered: 0.82 a Photogrammetry OpenDroneMap software was used to create an orthophoto from the raw images. Here is the list of parameters different from the default values for the orthophoto generation. For more details, you can read the log.json file or the 000_photogrammatry_report.pdf report. {'auto_boundary': True, 'cog': True, 'fast_orthophoto': True, 'feature_quality': 'ultra', 'max_concurrency': 128, 'optimize_disk_space': True, 'orthophoto_resolution': 1.0, 'rolling_shutter': True, 'skip_3dmodel': True} Generic folder structure YYYYMMDD_COUNTRYCODE-optionalplace_device_session-number ├── DCIM : folder to store videos and photos depending on the media collected. ├── GPS : folder to store any positioning related file. If any kind of correction is possible on files (e.g. Post-Processed Kinematic thanks to rinex data) then the distinction between device data and base data is made. If, on the other hand, only device position data are present and the files cannot be corrected by post-processing techniques (e.g. gpx files), then the distinction between base and device is not made and the files are placed directly at the root of the GPS folder. │ ├── BASE : files coming from rtk station or any static positioning instrument. │ └── DEVICE : files coming from the device. ├── METADATA : folder with general information files about the session. ├── PROCESSED_DATA : contain all the folders needed to store the results of the data processing of the current session. │ ├── BATHY : output folder for bathymetry raw data extracted from mission logs. │ ├── FRAMES : output folder for georeferenced frames extracted from DCIM videos. │ ├── IA : destination folder for image recognition predictions. │ └── PHOTOGRAMMETRY : destination folder for reconstructed models in photogrammetry. └── SENSORS : folder to store files coming from other sources (bathymetry data from the echosounder, log file from the autopilot, mission plan etc.). Software All the raw data was processed using our worflow. All predictions were generated by our inference pipeline. You can find all the necessary scripts to download this data in this repository. Enjoy your data with SeatizenDOI!","url":"https://doi.org/10.5281/zenodo.15831857","authors":["Matteo Contini","Sylvain Bonhommeau","Serge Bernard","Julien Barde"],"tags":["Artificial Intelligence","Citizen Sciences","Computer Vision","Coral Reef","Coral Reef Habitat","Deep Learning","Drone","Ecology"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.15831857","addedAt":"2026-08-31T06:40:02.533Z","updatedAt":"2026-08-31T06:40:02.533Z"},{"id":"doi:10.5281/zenodo.15831855","name":"Aerial images collected by an Unmanned Aerial Vehicle in St-Leu, Réunion - 2025-06-17","source":"datacite","abstract":"This dataset was collected by an Unmanned Aerial Vehicle in St-Leu, Réunion - 2025-06-17. Underwater or aerial images collected by scientists or citizens can have a wide variety of use for science, management, or conservation. These images can be annotated and shared to train IA models which can in turn predict the objects on the images. We provide a set of tools (hardware and software) to collect marine data, predict species or habitat, and provide maps. This dataset is part of larger collection referencing numerous underwater and aerial images Seatizen Altas. Methods, tools and scientific objectives are also described in a dedicated data paper. Survey information Camera: Hasselblad L1D-20c Number of images: 86 Total size: 1.04 Gb Flight start: 2025:06:17 06:36:23 Flight end: 2025:06:17 06:39:59 Flight duration: 0h 3min 36sec Median height: 59.9 m Area covered: 0.82 a Photogrammetry OpenDroneMap software was used to create an orthophoto from the raw images. Here is the list of parameters different from the default values for the orthophoto generation. For more details, you can read the log.json file or the 000_photogrammatry_report.pdf report. {'auto_boundary': True, 'cog': True, 'fast_orthophoto': True, 'feature_quality': 'ultra', 'max_concurrency': 128, 'optimize_disk_space': True, 'orthophoto_resolution': 1.0, 'rolling_shutter': True, 'skip_3dmodel': True} Generic folder structure YYYYMMDD_COUNTRYCODE-optionalplace_device_session-number ├── DCIM : folder to store videos and photos depending on the media collected. ├── GPS : folder to store any positioning related file. If any kind of correction is possible on files (e.g. Post-Processed Kinematic thanks to rinex data) then the distinction between device data and base data is made. If, on the other hand, only device position data are present and the files cannot be corrected by post-processing techniques (e.g. gpx files), then the distinction between base and device is not made and the files are placed directly at the root of the GPS folder. │ ├── BASE : files coming from rtk station or any static positioning instrument. │ └── DEVICE : files coming from the device. ├── METADATA : folder with general information files about the session. ├── PROCESSED_DATA : contain all the folders needed to store the results of the data processing of the current session. │ ├── BATHY : output folder for bathymetry raw data extracted from mission logs. │ ├── FRAMES : output folder for georeferenced frames extracted from DCIM videos. │ ├── IA : destination folder for image recognition predictions. │ └── PHOTOGRAMMETRY : destination folder for reconstructed models in photogrammetry. └── SENSORS : folder to store files coming from other sources (bathymetry data from the echosounder, log file from the autopilot, mission plan etc.). Software All the raw data was processed using our worflow. All predictions were generated by our inference pipeline. You can find all the necessary scripts to download this data in this repository. Enjoy your data with SeatizenDOI!","url":"https://doi.org/10.5281/zenodo.15831855","authors":["Matteo Contini","Sylvain Bonhommeau","Serge Bernard","Julien Barde"],"tags":["Artificial Intelligence","Citizen Sciences","Computer Vision","Coral Reef","Coral Reef Habitat","Deep Learning","Drone","Ecology"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.15831855","addedAt":"2026-08-31T06:40:02.533Z","updatedAt":"2026-08-31T06:40:02.533Z"},{"id":"doi:10.5281/zenodo.15831856","name":"Aerial images collected by an Unmanned Aerial Vehicle in St-Leu, Réunion - 2025-06-17","source":"datacite","abstract":"This dataset was collected by an Unmanned Aerial Vehicle in St-Leu, Réunion - 2025-06-17. Underwater or aerial images collected by scientists or citizens can have a wide variety of use for science, management, or conservation. These images can be annotated and shared to train IA models which can in turn predict the objects on the images. We provide a set of tools (hardware and software) to collect marine data, predict species or habitat, and provide maps. This dataset is part of larger collection referencing numerous underwater and aerial images Seatizen Altas. Methods, tools and scientific objectives are also described in a dedicated data paper. Survey information Camera: Hasselblad L1D-20c Number of images: 86 Total size: 1.04 Gb Flight start: 2025:06:17 06:36:23 Flight end: 2025:06:17 06:39:59 Flight duration: 0h 3min 36sec Median height: 59.9 m Area covered: 0.82 a Generic folder structure YYYYMMDD_COUNTRYCODE-optionalplace_device_session-number ├── DCIM : folder to store videos and photos depending on the media collected. ├── GPS : folder to store any positioning related file. If any kind of correction is possible on files (e.g. Post-Processed Kinematic thanks to rinex data) then the distinction between device data and base data is made. If, on the other hand, only device position data are present and the files cannot be corrected by post-processing techniques (e.g. gpx files), then the distinction between base and device is not made and the files are placed directly at the root of the GPS folder. │ ├── BASE : files coming from rtk station or any static positioning instrument. │ └── DEVICE : files coming from the device. ├── METADATA : folder with general information files about the session. ├── PROCESSED_DATA : contain all the folders needed to store the results of the data processing of the current session. │ ├── BATHY : output folder for bathymetry raw data extracted from mission logs. │ ├── FRAMES : output folder for georeferenced frames extracted from DCIM videos. │ ├── IA : destination folder for image recognition predictions. │ └── PHOTOGRAMMETRY : destination folder for reconstructed models in photogrammetry. └── SENSORS : folder to store files coming from other sources (bathymetry data from the echosounder, log file from the autopilot, mission plan etc.). Software All the raw data was processed using our worflow. All predictions were generated by our inference pipeline. You can find all the necessary scripts to download this data in this repository. Enjoy your data with SeatizenDOI!","url":"https://doi.org/10.5281/zenodo.15831856","authors":["Matteo Contini","Sylvain Bonhommeau","Serge Bernard","Julien Barde"],"tags":["Artificial Intelligence","Citizen Sciences","Computer Vision","Coral Reef","Coral Reef Habitat","Deep Learning","Drone","Ecology"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.15831856","addedAt":"2026-08-31T06:40:02.533Z","updatedAt":"2026-08-31T06:40:02.533Z"},{"id":"doi:10.5281/zenodo.15831848","name":"Aerial images collected by an Unmanned Aerial Vehicle in St-Leu, Réunion - 2025-06-17","source":"datacite","abstract":"This dataset was collected by an Unmanned Aerial Vehicle in St-Leu, Réunion - 2025-06-17. Underwater or aerial images collected by scientists or citizens can have a wide variety of use for science, management, or conservation. These images can be annotated and shared to train IA models which can in turn predict the objects on the images. We provide a set of tools (hardware and software) to collect marine data, predict species or habitat, and provide maps. This dataset is part of larger collection referencing numerous underwater and aerial images Seatizen Altas. Methods, tools and scientific objectives are also described in a dedicated data paper. Survey information Camera: Hasselblad L1D-20c Number of images: 182 Total size: 2.33 Gb Flight start: 2025:06:17 06:19:57 Flight end: 2025:06:17 06:27:29 Flight duration: 0h 7min 32sec Median height: 59.9 m Area covered: 2.13 a Photogrammetry OpenDroneMap software was used to create an orthophoto from the raw images. Here is the list of parameters different from the default values for the orthophoto generation. For more details, you can read the log.json file or the 000_photogrammatry_report.pdf report. {'auto_boundary': True, 'cog': True, 'fast_orthophoto': True, 'feature_quality': 'ultra', 'max_concurrency': 128, 'optimize_disk_space': True, 'orthophoto_resolution': 1.0, 'rolling_shutter': True, 'skip_3dmodel': True} Generic folder structure YYYYMMDD_COUNTRYCODE-optionalplace_device_session-number ├── DCIM : folder to store videos and photos depending on the media collected. ├── GPS : folder to store any positioning related file. If any kind of correction is possible on files (e.g. Post-Processed Kinematic thanks to rinex data) then the distinction between device data and base data is made. If, on the other hand, only device position data are present and the files cannot be corrected by post-processing techniques (e.g. gpx files), then the distinction between base and device is not made and the files are placed directly at the root of the GPS folder. │ ├── BASE : files coming from rtk station or any static positioning instrument. │ └── DEVICE : files coming from the device. ├── METADATA : folder with general information files about the session. ├── PROCESSED_DATA : contain all the folders needed to store the results of the data processing of the current session. │ ├── BATHY : output folder for bathymetry raw data extracted from mission logs. │ ├── FRAMES : output folder for georeferenced frames extracted from DCIM videos. │ ├── IA : destination folder for image recognition predictions. │ └── PHOTOGRAMMETRY : destination folder for reconstructed models in photogrammetry. └── SENSORS : folder to store files coming from other sources (bathymetry data from the echosounder, log file from the autopilot, mission plan etc.). Software All the raw data was processed using our worflow. All predictions were generated by our inference pipeline. You can find all the necessary scripts to download this data in this repository. Enjoy your data with SeatizenDOI!","url":"https://doi.org/10.5281/zenodo.15831848","authors":["Matteo Contini","Sylvain Bonhommeau","Serge Bernard","Julien Barde"],"tags":["Artificial Intelligence","Citizen Sciences","Computer Vision","Coral Reef","Coral Reef Habitat","Deep Learning","Drone","Ecology"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.15831848","addedAt":"2026-08-31T06:40:02.533Z","updatedAt":"2026-08-31T06:40:02.533Z"},{"id":"doi:10.5281/zenodo.15831830","name":"Aerial images collected by an Unmanned Aerial Vehicle in St-Leu, Réunion - 2025-06-17","source":"datacite","abstract":"This dataset was collected by an Unmanned Aerial Vehicle in St-Leu, Réunion - 2025-06-17. Underwater or aerial images collected by scientists or citizens can have a wide variety of use for science, management, or conservation. These images can be annotated and shared to train IA models which can in turn predict the objects on the images. We provide a set of tools (hardware and software) to collect marine data, predict species or habitat, and provide maps. This dataset is part of larger collection referencing numerous underwater and aerial images Seatizen Altas. Methods, tools and scientific objectives are also described in a dedicated data paper. Survey information Camera: Hasselblad L1D-20c Number of images: 182 Total size: 2.33 Gb Flight start: 2025:06:17 06:19:57 Flight end: 2025:06:17 06:27:29 Flight duration: 0h 7min 32sec Median height: 59.9 m Area covered: 2.13 a Photogrammetry OpenDroneMap software was used to create an orthophoto from the raw images. Here is the list of parameters different from the default values for the orthophoto generation. For more details, you can read the log.json file or the 000_photogrammatry_report.pdf report. {'auto_boundary': True, 'cog': True, 'fast_orthophoto': True, 'feature_quality': 'ultra', 'max_concurrency': 128, 'optimize_disk_space': True, 'orthophoto_resolution': 1.0, 'rolling_shutter': True, 'skip_3dmodel': True} Generic folder structure YYYYMMDD_COUNTRYCODE-optionalplace_device_session-number ├── DCIM : folder to store videos and photos depending on the media collected. ├── GPS : folder to store any positioning related file. If any kind of correction is possible on files (e.g. Post-Processed Kinematic thanks to rinex data) then the distinction between device data and base data is made. If, on the other hand, only device position data are present and the files cannot be corrected by post-processing techniques (e.g. gpx files), then the distinction between base and device is not made and the files are placed directly at the root of the GPS folder. │ ├── BASE : files coming from rtk station or any static positioning instrument. │ └── DEVICE : files coming from the device. ├── METADATA : folder with general information files about the session. ├── PROCESSED_DATA : contain all the folders needed to store the results of the data processing of the current session. │ ├── BATHY : output folder for bathymetry raw data extracted from mission logs. │ ├── FRAMES : output folder for georeferenced frames extracted from DCIM videos. │ ├── IA : destination folder for image recognition predictions. │ └── PHOTOGRAMMETRY : destination folder for reconstructed models in photogrammetry. └── SENSORS : folder to store files coming from other sources (bathymetry data from the echosounder, log file from the autopilot, mission plan etc.). Software All the raw data was processed using our worflow. All predictions were generated by our inference pipeline. You can find all the necessary scripts to download this data in this repository. Enjoy your data with SeatizenDOI!","url":"https://doi.org/10.5281/zenodo.15831830","authors":["Matteo Contini","Sylvain Bonhommeau","Serge Bernard","Julien Barde"],"tags":["Artificial Intelligence","Citizen Sciences","Computer Vision","Coral Reef","Coral Reef Habitat","Deep Learning","Drone","Ecology"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.15831830","addedAt":"2026-08-31T06:40:02.533Z","updatedAt":"2026-08-31T06:40:02.533Z"},{"id":"doi:10.5281/zenodo.15831831","name":"Aerial images collected by an Unmanned Aerial Vehicle in St-Leu, Réunion - 2025-06-17","source":"datacite","abstract":"This dataset was collected by an Unmanned Aerial Vehicle in St-Leu, Réunion - 2025-06-17. Underwater or aerial images collected by scientists or citizens can have a wide variety of use for science, management, or conservation. These images can be annotated and shared to train IA models which can in turn predict the objects on the images. We provide a set of tools (hardware and software) to collect marine data, predict species or habitat, and provide maps. This dataset is part of larger collection referencing numerous underwater and aerial images Seatizen Altas. Methods, tools and scientific objectives are also described in a dedicated data paper. Survey information Camera: Hasselblad L1D-20c Number of images: 182 Total size: 2.33 Gb Flight start: 2025:06:17 06:19:57 Flight end: 2025:06:17 06:27:29 Flight duration: 0h 7min 32sec Median height: 59.9 m Area covered: 2.13 a Generic folder structure YYYYMMDD_COUNTRYCODE-optionalplace_device_session-number ├── DCIM : folder to store videos and photos depending on the media collected. ├── GPS : folder to store any positioning related file. If any kind of correction is possible on files (e.g. Post-Processed Kinematic thanks to rinex data) then the distinction between device data and base data is made. If, on the other hand, only device position data are present and the files cannot be corrected by post-processing techniques (e.g. gpx files), then the distinction between base and device is not made and the files are placed directly at the root of the GPS folder. │ ├── BASE : files coming from rtk station or any static positioning instrument. │ └── DEVICE : files coming from the device. ├── METADATA : folder with general information files about the session. ├── PROCESSED_DATA : contain all the folders needed to store the results of the data processing of the current session. │ ├── BATHY : output folder for bathymetry raw data extracted from mission logs. │ ├── FRAMES : output folder for georeferenced frames extracted from DCIM videos. │ ├── IA : destination folder for image recognition predictions. │ └── PHOTOGRAMMETRY : destination folder for reconstructed models in photogrammetry. └── SENSORS : folder to store files coming from other sources (bathymetry data from the echosounder, log file from the autopilot, mission plan etc.). Software All the raw data was processed using our worflow. All predictions were generated by our inference pipeline. You can find all the necessary scripts to download this data in this repository. Enjoy your data with SeatizenDOI!","url":"https://doi.org/10.5281/zenodo.15831831","authors":["Matteo Contini","Sylvain Bonhommeau","Serge Bernard","Julien Barde"],"tags":["Artificial Intelligence","Citizen Sciences","Computer Vision","Coral Reef","Coral Reef Habitat","Deep Learning","Drone","Ecology"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.15831831","addedAt":"2026-08-31T06:40:02.533Z","updatedAt":"2026-08-31T06:40:02.533Z"},{"id":"doi:10.5281/zenodo.15831821","name":"Aerial images collected by an Unmanned Aerial Vehicle in St-Leu, Réunion - 2025-06-17","source":"datacite","abstract":"This dataset was collected by an Unmanned Aerial Vehicle in St-Leu, Réunion - 2025-06-17. Underwater or aerial images collected by scientists or citizens can have a wide variety of use for science, management, or conservation. These images can be annotated and shared to train IA models which can in turn predict the objects on the images. We provide a set of tools (hardware and software) to collect marine data, predict species or habitat, and provide maps. This dataset is part of larger collection referencing numerous underwater and aerial images Seatizen Altas. Methods, tools and scientific objectives are also described in a dedicated data paper. Survey information Camera: Hasselblad L1D-20c Number of images: 345 Total size: 3.49 Gb Flight start: 2025:06:17 05:46:07 Flight end: 2025:06:17 06:04:45 Flight duration: 0h 18min 38sec Median height: 59.9 m Area covered: 3.25 a Photogrammetry OpenDroneMap software was used to create an orthophoto from the raw images. Here is the list of parameters different from the default values for the orthophoto generation. For more details, you can read the log.json file or the 000_photogrammatry_report.pdf report. {'auto_boundary': True, 'cog': True, 'fast_orthophoto': True, 'feature_quality': 'ultra', 'max_concurrency': 128, 'optimize_disk_space': True, 'orthophoto_resolution': 1.0, 'rolling_shutter': True, 'skip_3dmodel': True} Generic folder structure YYYYMMDD_COUNTRYCODE-optionalplace_device_session-number ├── DCIM : folder to store videos and photos depending on the media collected. ├── GPS : folder to store any positioning related file. If any kind of correction is possible on files (e.g. Post-Processed Kinematic thanks to rinex data) then the distinction between device data and base data is made. If, on the other hand, only device position data are present and the files cannot be corrected by post-processing techniques (e.g. gpx files), then the distinction between base and device is not made and the files are placed directly at the root of the GPS folder. │ ├── BASE : files coming from rtk station or any static positioning instrument. │ └── DEVICE : files coming from the device. ├── METADATA : folder with general information files about the session. ├── PROCESSED_DATA : contain all the folders needed to store the results of the data processing of the current session. │ ├── BATHY : output folder for bathymetry raw data extracted from mission logs. │ ├── FRAMES : output folder for georeferenced frames extracted from DCIM videos. │ ├── IA : destination folder for image recognition predictions. │ └── PHOTOGRAMMETRY : destination folder for reconstructed models in photogrammetry. └── SENSORS : folder to store files coming from other sources (bathymetry data from the echosounder, log file from the autopilot, mission plan etc.). Software All the raw data was processed using our worflow. All predictions were generated by our inference pipeline. You can find all the necessary scripts to download this data in this repository. Enjoy your data with SeatizenDOI!","url":"https://doi.org/10.5281/zenodo.15831821","authors":["Matteo Contini","Sylvain Bonhommeau","Serge Bernard","Julien Barde"],"tags":["Artificial Intelligence","Citizen Sciences","Computer Vision","Coral Reef","Coral Reef Habitat","Deep Learning","Drone","Ecology"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.15831821","addedAt":"2026-08-31T06:40:02.533Z","updatedAt":"2026-08-31T06:40:02.533Z"},{"id":"doi:10.5281/zenodo.15831796","name":"Aerial images collected by an Unmanned Aerial Vehicle in St-Leu, Réunion - 2025-06-17","source":"datacite","abstract":"This dataset was collected by an Unmanned Aerial Vehicle in St-Leu, Réunion - 2025-06-17. Underwater or aerial images collected by scientists or citizens can have a wide variety of use for science, management, or conservation. These images can be annotated and shared to train IA models which can in turn predict the objects on the images. We provide a set of tools (hardware and software) to collect marine data, predict species or habitat, and provide maps. This dataset is part of larger collection referencing numerous underwater and aerial images Seatizen Altas. Methods, tools and scientific objectives are also described in a dedicated data paper. Survey information Camera: Hasselblad L1D-20c Number of images: 345 Total size: 3.49 Gb Flight start: 2025:06:17 05:46:07 Flight end: 2025:06:17 06:04:45 Flight duration: 0h 18min 38sec Median height: 59.9 m Area covered: 3.25 a Photogrammetry OpenDroneMap software was used to create an orthophoto from the raw images. Here is the list of parameters different from the default values for the orthophoto generation. For more details, you can read the log.json file or the 000_photogrammatry_report.pdf report. {'auto_boundary': True, 'cog': True, 'fast_orthophoto': True, 'feature_quality': 'ultra', 'max_concurrency': 128, 'optimize_disk_space': True, 'orthophoto_resolution': 1.0, 'rolling_shutter': True, 'skip_3dmodel': True} Generic folder structure YYYYMMDD_COUNTRYCODE-optionalplace_device_session-number ├── DCIM : folder to store videos and photos depending on the media collected. ├── GPS : folder to store any positioning related file. If any kind of correction is possible on files (e.g. Post-Processed Kinematic thanks to rinex data) then the distinction between device data and base data is made. If, on the other hand, only device position data are present and the files cannot be corrected by post-processing techniques (e.g. gpx files), then the distinction between base and device is not made and the files are placed directly at the root of the GPS folder. │ ├── BASE : files coming from rtk station or any static positioning instrument. │ └── DEVICE : files coming from the device. ├── METADATA : folder with general information files about the session. ├── PROCESSED_DATA : contain all the folders needed to store the results of the data processing of the current session. │ ├── BATHY : output folder for bathymetry raw data extracted from mission logs. │ ├── FRAMES : output folder for georeferenced frames extracted from DCIM videos. │ ├── IA : destination folder for image recognition predictions. │ └── PHOTOGRAMMETRY : destination folder for reconstructed models in photogrammetry. └── SENSORS : folder to store files coming from other sources (bathymetry data from the echosounder, log file from the autopilot, mission plan etc.). Software All the raw data was processed using our worflow. All predictions were generated by our inference pipeline. You can find all the necessary scripts to download this data in this repository. Enjoy your data with SeatizenDOI!","url":"https://doi.org/10.5281/zenodo.15831796","authors":["Matteo Contini","Sylvain Bonhommeau","Serge Bernard","Julien Barde"],"tags":["Artificial Intelligence","Citizen Sciences","Computer Vision","Coral Reef","Coral Reef Habitat","Deep Learning","Drone","Ecology"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.15831796","addedAt":"2026-08-31T06:40:02.533Z","updatedAt":"2026-08-31T06:40:02.533Z"},{"id":"doi:10.5281/zenodo.15831797","name":"Aerial images collected by an Unmanned Aerial Vehicle in St-Leu, Réunion - 2025-06-17","source":"datacite","abstract":"This dataset was collected by an Unmanned Aerial Vehicle in St-Leu, Réunion - 2025-06-17. Underwater or aerial images collected by scientists or citizens can have a wide variety of use for science, management, or conservation. These images can be annotated and shared to train IA models which can in turn predict the objects on the images. We provide a set of tools (hardware and software) to collect marine data, predict species or habitat, and provide maps. This dataset is part of larger collection referencing numerous underwater and aerial images Seatizen Altas. Methods, tools and scientific objectives are also described in a dedicated data paper. Survey information Camera: Hasselblad L1D-20c Number of images: 345 Total size: 3.49 Gb Flight start: 2025:06:17 05:46:07 Flight end: 2025:06:17 06:04:45 Flight duration: 0h 18min 38sec Median height: 59.9 m Area covered: 3.25 a Generic folder structure YYYYMMDD_COUNTRYCODE-optionalplace_device_session-number ├── DCIM : folder to store videos and photos depending on the media collected. ├── GPS : folder to store any positioning related file. If any kind of correction is possible on files (e.g. Post-Processed Kinematic thanks to rinex data) then the distinction between device data and base data is made. If, on the other hand, only device position data are present and the files cannot be corrected by post-processing techniques (e.g. gpx files), then the distinction between base and device is not made and the files are placed directly at the root of the GPS folder. │ ├── BASE : files coming from rtk station or any static positioning instrument. │ └── DEVICE : files coming from the device. ├── METADATA : folder with general information files about the session. ├── PROCESSED_DATA : contain all the folders needed to store the results of the data processing of the current session. │ ├── BATHY : output folder for bathymetry raw data extracted from mission logs. │ ├── FRAMES : output folder for georeferenced frames extracted from DCIM videos. │ ├── IA : destination folder for image recognition predictions. │ └── PHOTOGRAMMETRY : destination folder for reconstructed models in photogrammetry. └── SENSORS : folder to store files coming from other sources (bathymetry data from the echosounder, log file from the autopilot, mission plan etc.). Software All the raw data was processed using our worflow. All predictions were generated by our inference pipeline. You can find all the necessary scripts to download this data in this repository. Enjoy your data with SeatizenDOI!","url":"https://doi.org/10.5281/zenodo.15831797","authors":["Matteo Contini","Sylvain Bonhommeau","Serge Bernard","Julien Barde"],"tags":["Artificial Intelligence","Citizen Sciences","Computer Vision","Coral Reef","Coral Reef Habitat","Deep Learning","Drone","Ecology"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.15831797","addedAt":"2026-08-31T06:40:02.533Z","updatedAt":"2026-08-31T06:40:02.533Z"},{"id":"doi:10.5281/zenodo.15831756","name":"Aerial images collected by an Unmanned Aerial Vehicle in St-Leu, Réunion - 2025-06-17","source":"datacite","abstract":"This dataset was collected by an Unmanned Aerial Vehicle in St-Leu, Réunion - 2025-06-17. Underwater or aerial images collected by scientists or citizens can have a wide variety of use for science, management, or conservation. These images can be annotated and shared to train IA models which can in turn predict the objects on the images. We provide a set of tools (hardware and software) to collect marine data, predict species or habitat, and provide maps. This dataset is part of larger collection referencing numerous underwater and aerial images Seatizen Altas. Methods, tools and scientific objectives are also described in a dedicated data paper. Survey information Camera: Hasselblad L1D-20c Number of images: 328 Total size: 2.77 Gb Flight start: 2025:06:17 05:16:11 Flight end: 2025:06:17 05:34:22 Flight duration: 0h 18min 11sec Median height: 59.9 m Area covered: 5.01 a Photogrammetry OpenDroneMap software was used to create an orthophoto from the raw images. Here is the list of parameters different from the default values for the orthophoto generation. For more details, you can read the log.json file or the 000_photogrammatry_report.pdf report. {'auto_boundary': True, 'cog': True, 'fast_orthophoto': True, 'feature_quality': 'ultra', 'max_concurrency': 128, 'optimize_disk_space': True, 'orthophoto_resolution': 1.0, 'rolling_shutter': True, 'skip_3dmodel': True} Generic folder structure YYYYMMDD_COUNTRYCODE-optionalplace_device_session-number ├── DCIM : folder to store videos and photos depending on the media collected. ├── GPS : folder to store any positioning related file. If any kind of correction is possible on files (e.g. Post-Processed Kinematic thanks to rinex data) then the distinction between device data and base data is made. If, on the other hand, only device position data are present and the files cannot be corrected by post-processing techniques (e.g. gpx files), then the distinction between base and device is not made and the files are placed directly at the root of the GPS folder. │ ├── BASE : files coming from rtk station or any static positioning instrument. │ └── DEVICE : files coming from the device. ├── METADATA : folder with general information files about the session. ├── PROCESSED_DATA : contain all the folders needed to store the results of the data processing of the current session. │ ├── BATHY : output folder for bathymetry raw data extracted from mission logs. │ ├── FRAMES : output folder for georeferenced frames extracted from DCIM videos. │ ├── IA : destination folder for image recognition predictions. │ └── PHOTOGRAMMETRY : destination folder for reconstructed models in photogrammetry. └── SENSORS : folder to store files coming from other sources (bathymetry data from the echosounder, log file from the autopilot, mission plan etc.). Software All the raw data was processed using our worflow. All predictions were generated by our inference pipeline. You can find all the necessary scripts to download this data in this repository. Enjoy your data with SeatizenDOI!","url":"https://doi.org/10.5281/zenodo.15831756","authors":["Matteo Contini","Sylvain Bonhommeau","Serge Bernard","Julien Barde"],"tags":["Artificial Intelligence","Citizen Sciences","Computer Vision","Coral Reef","Coral Reef Habitat","Deep Learning","Drone","Ecology"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.15831756","addedAt":"2026-08-31T06:40:02.533Z","updatedAt":"2026-08-31T06:40:02.533Z"},{"id":"doi:10.5281/zenodo.15831588","name":"Aerial images collected by an Unmanned Aerial Vehicle in St-Leu, Réunion - 2025-06-17","source":"datacite","abstract":"This dataset was collected by an Unmanned Aerial Vehicle in St-Leu, Réunion - 2025-06-17. Underwater or aerial images collected by scientists or citizens can have a wide variety of use for science, management, or conservation. These images can be annotated and shared to train IA models which can in turn predict the objects on the images. We provide a set of tools (hardware and software) to collect marine data, predict species or habitat, and provide maps. This dataset is part of larger collection referencing numerous underwater and aerial images Seatizen Altas. Methods, tools and scientific objectives are also described in a dedicated data paper. Survey information Camera: Hasselblad L1D-20c Number of images: 328 Total size: 2.77 Gb Flight start: 2025:06:17 05:16:11 Flight end: 2025:06:17 05:34:22 Flight duration: 0h 18min 11sec Median height: 59.9 m Area covered: 5.01 a Photogrammetry OpenDroneMap software was used to create an orthophoto from the raw images. Here is the list of parameters different from the default values for the orthophoto generation. For more details, you can read the log.json file or the 000_photogrammatry_report.pdf report. {'auto_boundary': True, 'cog': True, 'fast_orthophoto': True, 'feature_quality': 'ultra', 'max_concurrency': 128, 'optimize_disk_space': True, 'orthophoto_resolution': 1.0, 'rolling_shutter': True, 'skip_3dmodel': True} Generic folder structure YYYYMMDD_COUNTRYCODE-optionalplace_device_session-number ├── DCIM : folder to store videos and photos depending on the media collected. ├── GPS : folder to store any positioning related file. If any kind of correction is possible on files (e.g. Post-Processed Kinematic thanks to rinex data) then the distinction between device data and base data is made. If, on the other hand, only device position data are present and the files cannot be corrected by post-processing techniques (e.g. gpx files), then the distinction between base and device is not made and the files are placed directly at the root of the GPS folder. │ ├── BASE : files coming from rtk station or any static positioning instrument. │ └── DEVICE : files coming from the device. ├── METADATA : folder with general information files about the session. ├── PROCESSED_DATA : contain all the folders needed to store the results of the data processing of the current session. │ ├── BATHY : output folder for bathymetry raw data extracted from mission logs. │ ├── FRAMES : output folder for georeferenced frames extracted from DCIM videos. │ ├── IA : destination folder for image recognition predictions. │ └── PHOTOGRAMMETRY : destination folder for reconstructed models in photogrammetry. └── SENSORS : folder to store files coming from other sources (bathymetry data from the echosounder, log file from the autopilot, mission plan etc.). Software All the raw data was processed using our worflow. All predictions were generated by our inference pipeline. You can find all the necessary scripts to download this data in this repository. Enjoy your data with SeatizenDOI!","url":"https://doi.org/10.5281/zenodo.15831588","authors":["Matteo Contini","Sylvain Bonhommeau","Serge Bernard","Julien Barde"],"tags":["Artificial Intelligence","Citizen Sciences","Computer Vision","Coral Reef","Coral Reef Habitat","Deep Learning","Drone","Ecology"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.15831588","addedAt":"2026-08-31T06:40:02.533Z","updatedAt":"2026-08-31T06:40:02.533Z"},{"id":"doi:10.5281/zenodo.15831589","name":"Aerial images collected by an Unmanned Aerial Vehicle in St-Leu, Réunion - 2025-06-17","source":"datacite","abstract":"This dataset was collected by an Unmanned Aerial Vehicle in St-Leu, Réunion - 2025-06-17. Underwater or aerial images collected by scientists or citizens can have a wide variety of use for science, management, or conservation. These images can be annotated and shared to train IA models which can in turn predict the objects on the images. We provide a set of tools (hardware and software) to collect marine data, predict species or habitat, and provide maps. This dataset is part of larger collection referencing numerous underwater and aerial images Seatizen Altas. Methods, tools and scientific objectives are also described in a dedicated data paper. Survey information Camera: Hasselblad L1D-20c Number of images: 328 Total size: 2.77 Gb Flight start: 2025:06:17 05:16:11 Flight end: 2025:06:17 05:34:22 Flight duration: 0h 18min 11sec Median height: 59.9 m Area covered: 5.01 a Generic folder structure YYYYMMDD_COUNTRYCODE-optionalplace_device_session-number ├── DCIM : folder to store videos and photos depending on the media collected. ├── GPS : folder to store any positioning related file. If any kind of correction is possible on files (e.g. Post-Processed Kinematic thanks to rinex data) then the distinction between device data and base data is made. If, on the other hand, only device position data are present and the files cannot be corrected by post-processing techniques (e.g. gpx files), then the distinction between base and device is not made and the files are placed directly at the root of the GPS folder. │ ├── BASE : files coming from rtk station or any static positioning instrument. │ └── DEVICE : files coming from the device. ├── METADATA : folder with general information files about the session. ├── PROCESSED_DATA : contain all the folders needed to store the results of the data processing of the current session. │ ├── BATHY : output folder for bathymetry raw data extracted from mission logs. │ ├── FRAMES : output folder for georeferenced frames extracted from DCIM videos. │ ├── IA : destination folder for image recognition predictions. │ └── PHOTOGRAMMETRY : destination folder for reconstructed models in photogrammetry. └── SENSORS : folder to store files coming from other sources (bathymetry data from the echosounder, log file from the autopilot, mission plan etc.). Software All the raw data was processed using our worflow. All predictions were generated by our inference pipeline. You can find all the necessary scripts to download this data in this repository. Enjoy your data with SeatizenDOI!","url":"https://doi.org/10.5281/zenodo.15831589","authors":["Matteo Contini","Sylvain Bonhommeau","Serge Bernard","Julien Barde"],"tags":["Artificial Intelligence","Citizen Sciences","Computer Vision","Coral Reef","Coral Reef Habitat","Deep Learning","Drone","Ecology"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.15831589","addedAt":"2026-08-31T06:40:02.533Z","updatedAt":"2026-08-31T06:40:02.533Z"},{"id":"doi:10.5281/zenodo.15831549","name":"Aerial images collected by an Unmanned Aerial Vehicle in St-Leu, Réunion - 2025-06-17","source":"datacite","abstract":"This dataset was collected by an Unmanned Aerial Vehicle in St-Leu, Réunion - 2025-06-17. Underwater or aerial images collected by scientists or citizens can have a wide variety of use for science, management, or conservation. These images can be annotated and shared to train IA models which can in turn predict the objects on the images. We provide a set of tools (hardware and software) to collect marine data, predict species or habitat, and provide maps. This dataset is part of larger collection referencing numerous underwater and aerial images Seatizen Altas. Methods, tools and scientific objectives are also described in a dedicated data paper. Survey information Camera: Hasselblad L1D-20c Number of images: 363 Total size: 3.13 Gb Flight start: 2025:06:17 04:44:59 Flight end: 2025:06:17 05:08:20 Flight duration: 0h 23min 21sec Median height: 59.9 m Area covered: 5.11 a Photogrammetry OpenDroneMap software was used to create an orthophoto from the raw images. Here is the list of parameters different from the default values for the orthophoto generation. For more details, you can read the log.json file or the 000_photogrammatry_report.pdf report. {'auto_boundary': True, 'cog': True, 'fast_orthophoto': True, 'feature_quality': 'ultra', 'max_concurrency': 128, 'optimize_disk_space': True, 'orthophoto_resolution': 1.0, 'rolling_shutter': True, 'skip_3dmodel': True} Generic folder structure YYYYMMDD_COUNTRYCODE-optionalplace_device_session-number ├── DCIM : folder to store videos and photos depending on the media collected. ├── GPS : folder to store any positioning related file. If any kind of correction is possible on files (e.g. Post-Processed Kinematic thanks to rinex data) then the distinction between device data and base data is made. If, on the other hand, only device position data are present and the files cannot be corrected by post-processing techniques (e.g. gpx files), then the distinction between base and device is not made and the files are placed directly at the root of the GPS folder. │ ├── BASE : files coming from rtk station or any static positioning instrument. │ └── DEVICE : files coming from the device. ├── METADATA : folder with general information files about the session. ├── PROCESSED_DATA : contain all the folders needed to store the results of the data processing of the current session. │ ├── BATHY : output folder for bathymetry raw data extracted from mission logs. │ ├── FRAMES : output folder for georeferenced frames extracted from DCIM videos. │ ├── IA : destination folder for image recognition predictions. │ └── PHOTOGRAMMETRY : destination folder for reconstructed models in photogrammetry. └── SENSORS : folder to store files coming from other sources (bathymetry data from the echosounder, log file from the autopilot, mission plan etc.). Software All the raw data was processed using our worflow. All predictions were generated by our inference pipeline. You can find all the necessary scripts to download this data in this repository. Enjoy your data with SeatizenDOI!","url":"https://doi.org/10.5281/zenodo.15831549","authors":["Matteo Contini","Sylvain Bonhommeau","Serge Bernard","Julien Barde"],"tags":["Artificial Intelligence","Citizen Sciences","Computer Vision","Coral Reef","Coral Reef Habitat","Deep Learning","Drone","Ecology"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.15831549","addedAt":"2026-08-31T06:40:02.533Z","updatedAt":"2026-08-31T06:40:02.533Z"},{"id":"doi:10.5281/zenodo.15831521","name":"Aerial images collected by an Unmanned Aerial Vehicle in St-Leu, Réunion - 2025-06-17","source":"datacite","abstract":"This dataset was collected by an Unmanned Aerial Vehicle in St-Leu, Réunion - 2025-06-17. Underwater or aerial images collected by scientists or citizens can have a wide variety of use for science, management, or conservation. These images can be annotated and shared to train IA models which can in turn predict the objects on the images. We provide a set of tools (hardware and software) to collect marine data, predict species or habitat, and provide maps. This dataset is part of larger collection referencing numerous underwater and aerial images Seatizen Altas. Methods, tools and scientific objectives are also described in a dedicated data paper. Survey information Camera: Hasselblad L1D-20c Number of images: 363 Total size: 3.13 Gb Flight start: 2025:06:17 04:44:59 Flight end: 2025:06:17 05:08:20 Flight duration: 0h 23min 21sec Median height: 59.9 m Area covered: 5.11 a Photogrammetry OpenDroneMap software was used to create an orthophoto from the raw images. Here is the list of parameters different from the default values for the orthophoto generation. For more details, you can read the log.json file or the 000_photogrammatry_report.pdf report. {'auto_boundary': True, 'cog': True, 'fast_orthophoto': True, 'feature_quality': 'ultra', 'max_concurrency': 128, 'optimize_disk_space': True, 'orthophoto_resolution': 1.0, 'rolling_shutter': True, 'skip_3dmodel': True} Generic folder structure YYYYMMDD_COUNTRYCODE-optionalplace_device_session-number ├── DCIM : folder to store videos and photos depending on the media collected. ├── GPS : folder to store any positioning related file. If any kind of correction is possible on files (e.g. Post-Processed Kinematic thanks to rinex data) then the distinction between device data and base data is made. If, on the other hand, only device position data are present and the files cannot be corrected by post-processing techniques (e.g. gpx files), then the distinction between base and device is not made and the files are placed directly at the root of the GPS folder. │ ├── BASE : files coming from rtk station or any static positioning instrument. │ └── DEVICE : files coming from the device. ├── METADATA : folder with general information files about the session. ├── PROCESSED_DATA : contain all the folders needed to store the results of the data processing of the current session. │ ├── BATHY : output folder for bathymetry raw data extracted from mission logs. │ ├── FRAMES : output folder for georeferenced frames extracted from DCIM videos. │ ├── IA : destination folder for image recognition predictions. │ └── PHOTOGRAMMETRY : destination folder for reconstructed models in photogrammetry. └── SENSORS : folder to store files coming from other sources (bathymetry data from the echosounder, log file from the autopilot, mission plan etc.). Software All the raw data was processed using our worflow. All predictions were generated by our inference pipeline. You can find all the necessary scripts to download this data in this repository. Enjoy your data with SeatizenDOI!","url":"https://doi.org/10.5281/zenodo.15831521","authors":["Matteo Contini","Sylvain Bonhommeau","Serge Bernard","Julien Barde"],"tags":["Artificial Intelligence","Citizen Sciences","Computer Vision","Coral Reef","Coral Reef Habitat","Deep Learning","Drone","Ecology"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.15831521","addedAt":"2026-08-31T06:40:02.533Z","updatedAt":"2026-08-31T06:40:02.533Z"},{"id":"doi:10.5281/zenodo.15831522","name":"Aerial images collected by an Unmanned Aerial Vehicle in St-Leu, Réunion - 2025-06-17","source":"datacite","abstract":"This dataset was collected by an Unmanned Aerial Vehicle in St-Leu, Réunion - 2025-06-17. Underwater or aerial images collected by scientists or citizens can have a wide variety of use for science, management, or conservation. These images can be annotated and shared to train IA models which can in turn predict the objects on the images. We provide a set of tools (hardware and software) to collect marine data, predict species or habitat, and provide maps. This dataset is part of larger collection referencing numerous underwater and aerial images Seatizen Altas. Methods, tools and scientific objectives are also described in a dedicated data paper. Survey information Camera: Hasselblad L1D-20c Number of images: 363 Total size: 3.13 Gb Flight start: 2025:06:17 04:44:59 Flight end: 2025:06:17 05:08:20 Flight duration: 0h 23min 21sec Median height: 59.9 m Area covered: 5.11 a Generic folder structure YYYYMMDD_COUNTRYCODE-optionalplace_device_session-number ├── DCIM : folder to store videos and photos depending on the media collected. ├── GPS : folder to store any positioning related file. If any kind of correction is possible on files (e.g. Post-Processed Kinematic thanks to rinex data) then the distinction between device data and base data is made. If, on the other hand, only device position data are present and the files cannot be corrected by post-processing techniques (e.g. gpx files), then the distinction between base and device is not made and the files are placed directly at the root of the GPS folder. │ ├── BASE : files coming from rtk station or any static positioning instrument. │ └── DEVICE : files coming from the device. ├── METADATA : folder with general information files about the session. ├── PROCESSED_DATA : contain all the folders needed to store the results of the data processing of the current session. │ ├── BATHY : output folder for bathymetry raw data extracted from mission logs. │ ├── FRAMES : output folder for georeferenced frames extracted from DCIM videos. │ ├── IA : destination folder for image recognition predictions. │ └── PHOTOGRAMMETRY : destination folder for reconstructed models in photogrammetry. └── SENSORS : folder to store files coming from other sources (bathymetry data from the echosounder, log file from the autopilot, mission plan etc.). Software All the raw data was processed using our worflow. All predictions were generated by our inference pipeline. You can find all the necessary scripts to download this data in this repository. Enjoy your data with SeatizenDOI!","url":"https://doi.org/10.5281/zenodo.15831522","authors":["Matteo Contini","Sylvain Bonhommeau","Serge Bernard","Julien Barde"],"tags":["Artificial Intelligence","Citizen Sciences","Computer Vision","Coral Reef","Coral Reef Habitat","Deep Learning","Drone","Ecology"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.15831522","addedAt":"2026-08-31T06:40:02.533Z","updatedAt":"2026-08-31T06:40:02.533Z"},{"id":"doi:10.5281/zenodo.15831415","name":"Aerial images collected by an Unmanned Aerial Vehicle in St-Leu, Réunion - 2025-05-19","source":"datacite","abstract":"This dataset was collected by an Unmanned Aerial Vehicle in St-Leu, Réunion - 2025-05-19. Underwater or aerial images collected by scientists or citizens can have a wide variety of use for science, management, or conservation. These images can be annotated and shared to train IA models which can in turn predict the objects on the images. We provide a set of tools (hardware and software) to collect marine data, predict species or habitat, and provide maps. This dataset is part of larger collection referencing numerous underwater and aerial images Seatizen Altas. Methods, tools and scientific objectives are also described in a dedicated data paper. Survey information Camera: Hasselblad L1D-20c Number of images: 457 Total size: 3.96 Gb Flight start: 2025:05:19 05:06:55 Flight end: 2025:05:19 05:42:18 Flight duration: 0h 35min 23sec Median height: 59.9 m Area covered: 4.86 a Photogrammetry OpenDroneMap software was used to create an orthophoto from the raw images. Here is the list of parameters different from the default values for the orthophoto generation. For more details, you can read the log.json file or the 000_photogrammatry_report.pdf report. {'auto_boundary': True, 'cog': True, 'fast_orthophoto': True, 'feature_quality': 'ultra', 'max_concurrency': 128, 'optimize_disk_space': True, 'orthophoto_resolution': 1.0, 'rolling_shutter': True, 'skip_3dmodel': True} Generic folder structure YYYYMMDD_COUNTRYCODE-optionalplace_device_session-number ├── DCIM : folder to store videos and photos depending on the media collected. ├── GPS : folder to store any positioning related file. If any kind of correction is possible on files (e.g. Post-Processed Kinematic thanks to rinex data) then the distinction between device data and base data is made. If, on the other hand, only device position data are present and the files cannot be corrected by post-processing techniques (e.g. gpx files), then the distinction between base and device is not made and the files are placed directly at the root of the GPS folder. │ ├── BASE : files coming from rtk station or any static positioning instrument. │ └── DEVICE : files coming from the device. ├── METADATA : folder with general information files about the session. ├── PROCESSED_DATA : contain all the folders needed to store the results of the data processing of the current session. │ ├── BATHY : output folder for bathymetry raw data extracted from mission logs. │ ├── FRAMES : output folder for georeferenced frames extracted from DCIM videos. │ ├── IA : destination folder for image recognition predictions. │ └── PHOTOGRAMMETRY : destination folder for reconstructed models in photogrammetry. └── SENSORS : folder to store files coming from other sources (bathymetry data from the echosounder, log file from the autopilot, mission plan etc.). Software All the raw data was processed using our worflow. All predictions were generated by our inference pipeline. You can find all the necessary scripts to download this data in this repository. Enjoy your data with SeatizenDOI!","url":"https://doi.org/10.5281/zenodo.15831415","authors":["Matteo Contini","Sylvain Bonhommeau","Serge Bernard","Julien Barde"],"tags":["Artificial Intelligence","Citizen Sciences","Computer Vision","Coral Reef","Coral Reef Habitat","Deep Learning","Drone","Ecology"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.15831415","addedAt":"2026-08-31T06:40:02.533Z","updatedAt":"2026-08-31T06:40:02.533Z"},{"id":"doi:10.5281/zenodo.15831490","name":"Aerial images collected by an Unmanned Aerial Vehicle in St-Leu, Réunion - 2025-05-19","source":"datacite","abstract":"This dataset was collected by an Unmanned Aerial Vehicle in St-Leu, Réunion - 2025-05-19. Underwater or aerial images collected by scientists or citizens can have a wide variety of use for science, management, or conservation. These images can be annotated and shared to train IA models which can in turn predict the objects on the images. We provide a set of tools (hardware and software) to collect marine data, predict species or habitat, and provide maps. This dataset is part of larger collection referencing numerous underwater and aerial images Seatizen Altas. Methods, tools and scientific objectives are also described in a dedicated data paper. Survey information Camera: Hasselblad L1D-20c Number of images: 457 Total size: 3.96 Gb Flight start: 2025:05:19 05:06:55 Flight end: 2025:05:19 05:42:18 Flight duration: 0h 35min 23sec Median height: 59.9 m Area covered: 4.86 a Photogrammetry OpenDroneMap software was used to create an orthophoto from the raw images. Here is the list of parameters different from the default values for the orthophoto generation. For more details, you can read the log.json file or the 000_photogrammatry_report.pdf report. {'auto_boundary': True, 'cog': True, 'fast_orthophoto': True, 'feature_quality': 'ultra', 'max_concurrency': 128, 'optimize_disk_space': True, 'orthophoto_resolution': 1.0, 'rolling_shutter': True, 'skip_3dmodel': True} Generic folder structure YYYYMMDD_COUNTRYCODE-optionalplace_device_session-number ├── DCIM : folder to store videos and photos depending on the media collected. ├── GPS : folder to store any positioning related file. If any kind of correction is possible on files (e.g. Post-Processed Kinematic thanks to rinex data) then the distinction between device data and base data is made. If, on the other hand, only device position data are present and the files cannot be corrected by post-processing techniques (e.g. gpx files), then the distinction between base and device is not made and the files are placed directly at the root of the GPS folder. │ ├── BASE : files coming from rtk station or any static positioning instrument. │ └── DEVICE : files coming from the device. ├── METADATA : folder with general information files about the session. ├── PROCESSED_DATA : contain all the folders needed to store the results of the data processing of the current session. │ ├── BATHY : output folder for bathymetry raw data extracted from mission logs. │ ├── FRAMES : output folder for georeferenced frames extracted from DCIM videos. │ ├── IA : destination folder for image recognition predictions. │ └── PHOTOGRAMMETRY : destination folder for reconstructed models in photogrammetry. └── SENSORS : folder to store files coming from other sources (bathymetry data from the echosounder, log file from the autopilot, mission plan etc.). Software All the raw data was processed using our worflow. All predictions were generated by our inference pipeline. You can find all the necessary scripts to download this data in this repository. Enjoy your data with SeatizenDOI!","url":"https://doi.org/10.5281/zenodo.15831490","authors":["Matteo Contini","Sylvain Bonhommeau","Serge Bernard","Julien Barde"],"tags":["Artificial Intelligence","Citizen Sciences","Computer Vision","Coral Reef","Coral Reef Habitat","Deep Learning","Drone","Ecology"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.15831490","addedAt":"2026-08-31T06:40:02.533Z","updatedAt":"2026-08-31T06:40:02.533Z"},{"id":"doi:10.5281/zenodo.15831416","name":"Aerial images collected by an Unmanned Aerial Vehicle in St-Leu, Réunion - 2025-05-19","source":"datacite","abstract":"This dataset was collected by an Unmanned Aerial Vehicle in St-Leu, Réunion - 2025-05-19. Underwater or aerial images collected by scientists or citizens can have a wide variety of use for science, management, or conservation. These images can be annotated and shared to train IA models which can in turn predict the objects on the images. We provide a set of tools (hardware and software) to collect marine data, predict species or habitat, and provide maps. This dataset is part of larger collection referencing numerous underwater and aerial images Seatizen Altas. Methods, tools and scientific objectives are also described in a dedicated data paper. Survey information Camera: Hasselblad L1D-20c Number of images: 457 Total size: 3.96 Gb Flight start: 2025:05:19 05:06:55 Flight end: 2025:05:19 05:42:18 Flight duration: 0h 35min 23sec Median height: 59.9 m Area covered: 4.86 a Generic folder structure YYYYMMDD_COUNTRYCODE-optionalplace_device_session-number ├── DCIM : folder to store videos and photos depending on the media collected. ├── GPS : folder to store any positioning related file. If any kind of correction is possible on files (e.g. Post-Processed Kinematic thanks to rinex data) then the distinction between device data and base data is made. If, on the other hand, only device position data are present and the files cannot be corrected by post-processing techniques (e.g. gpx files), then the distinction between base and device is not made and the files are placed directly at the root of the GPS folder. │ ├── BASE : files coming from rtk station or any static positioning instrument. │ └── DEVICE : files coming from the device. ├── METADATA : folder with general information files about the session. ├── PROCESSED_DATA : contain all the folders needed to store the results of the data processing of the current session. │ ├── BATHY : output folder for bathymetry raw data extracted from mission logs. │ ├── FRAMES : output folder for georeferenced frames extracted from DCIM videos. │ ├── IA : destination folder for image recognition predictions. │ └── PHOTOGRAMMETRY : destination folder for reconstructed models in photogrammetry. └── SENSORS : folder to store files coming from other sources (bathymetry data from the echosounder, log file from the autopilot, mission plan etc.). Software All the raw data was processed using our worflow. All predictions were generated by our inference pipeline. You can find all the necessary scripts to download this data in this repository. Enjoy your data with SeatizenDOI!","url":"https://doi.org/10.5281/zenodo.15831416","authors":["Matteo Contini","Sylvain Bonhommeau","Serge Bernard","Julien Barde"],"tags":["Artificial Intelligence","Citizen Sciences","Computer Vision","Coral Reef","Coral Reef Habitat","Deep Learning","Drone","Ecology"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.15831416","addedAt":"2026-08-31T06:40:02.533Z","updatedAt":"2026-08-31T06:40:02.533Z"},{"id":"doi:10.5281/zenodo.15831390","name":"Aerial images collected by an Unmanned Aerial Vehicle in Trou-Deau, Réunion - 2025-05-16","source":"datacite","abstract":"This dataset was collected by an Unmanned Aerial Vehicle in Trou-Deau, Réunion - 2025-05-16. Underwater or aerial images collected by scientists or citizens can have a wide variety of use for science, management, or conservation. These images can be annotated and shared to train IA models which can in turn predict the objects on the images. We provide a set of tools (hardware and software) to collect marine data, predict species or habitat, and provide maps. This dataset is part of larger collection referencing numerous underwater and aerial images Seatizen Altas. Methods, tools and scientific objectives are also described in a dedicated data paper. Survey information Camera: Hasselblad L1D-20c Number of images: 703 Total size: 6.13 Gb Flight start: 2025:05:16 04:27:10 Flight end: 2025:05:16 05:02:55 Flight duration: 0h 35min 45sec Median height: 59.9 m Area covered: 19.72 a Photogrammetry OpenDroneMap software was used to create an orthophoto from the raw images. Here is the list of parameters different from the default values for the orthophoto generation. For more details, you can read the log.json file or the 000_photogrammatry_report.pdf report. {'auto_boundary': True, 'cog': True, 'fast_orthophoto': True, 'feature_quality': 'ultra', 'max_concurrency': 128, 'optimize_disk_space': True, 'orthophoto_resolution': 1.0, 'rolling_shutter': True, 'skip_3dmodel': True} Generic folder structure YYYYMMDD_COUNTRYCODE-optionalplace_device_session-number ├── DCIM : folder to store videos and photos depending on the media collected. ├── GPS : folder to store any positioning related file. If any kind of correction is possible on files (e.g. Post-Processed Kinematic thanks to rinex data) then the distinction between device data and base data is made. If, on the other hand, only device position data are present and the files cannot be corrected by post-processing techniques (e.g. gpx files), then the distinction between base and device is not made and the files are placed directly at the root of the GPS folder. │ ├── BASE : files coming from rtk station or any static positioning instrument. │ └── DEVICE : files coming from the device. ├── METADATA : folder with general information files about the session. ├── PROCESSED_DATA : contain all the folders needed to store the results of the data processing of the current session. │ ├── BATHY : output folder for bathymetry raw data extracted from mission logs. │ ├── FRAMES : output folder for georeferenced frames extracted from DCIM videos. │ ├── IA : destination folder for image recognition predictions. │ └── PHOTOGRAMMETRY : destination folder for reconstructed models in photogrammetry. └── SENSORS : folder to store files coming from other sources (bathymetry data from the echosounder, log file from the autopilot, mission plan etc.). Software All the raw data was processed using our worflow. All predictions were generated by our inference pipeline. You can find all the necessary scripts to download this data in this repository. Enjoy your data with SeatizenDOI!","url":"https://doi.org/10.5281/zenodo.15831390","authors":["Matteo Contini","Sylvain Bonhommeau","Serge Bernard","Julien Barde"],"tags":["Artificial Intelligence","Citizen Sciences","Computer Vision","Coral Reef","Coral Reef Habitat","Deep Learning","Drone","Ecology"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.15831390","addedAt":"2026-08-31T06:40:02.533Z","updatedAt":"2026-08-31T06:40:02.533Z"},{"id":"doi:10.5281/zenodo.15831370","name":"Aerial images collected by an Unmanned Aerial Vehicle in Trou-Deau, Réunion - 2025-05-16","source":"datacite","abstract":"This dataset was collected by an Unmanned Aerial Vehicle in Trou-Deau, Réunion - 2025-05-16. Underwater or aerial images collected by scientists or citizens can have a wide variety of use for science, management, or conservation. These images can be annotated and shared to train IA models which can in turn predict the objects on the images. We provide a set of tools (hardware and software) to collect marine data, predict species or habitat, and provide maps. This dataset is part of larger collection referencing numerous underwater and aerial images Seatizen Altas. Methods, tools and scientific objectives are also described in a dedicated data paper. Survey information Camera: Hasselblad L1D-20c Number of images: 703 Total size: 6.13 Gb Flight start: 2025:05:16 04:27:10 Flight end: 2025:05:16 05:02:55 Flight duration: 0h 35min 45sec Median height: 59.9 m Area covered: 19.72 a Photogrammetry OpenDroneMap software was used to create an orthophoto from the raw images. Here is the list of parameters different from the default values for the orthophoto generation. For more details, you can read the log.json file or the 000_photogrammatry_report.pdf report. {'auto_boundary': True, 'cog': True, 'fast_orthophoto': True, 'feature_quality': 'ultra', 'max_concurrency': 128, 'optimize_disk_space': True, 'orthophoto_resolution': 1.0, 'rolling_shutter': True, 'skip_3dmodel': True} Generic folder structure YYYYMMDD_COUNTRYCODE-optionalplace_device_session-number ├── DCIM : folder to store videos and photos depending on the media collected. ├── GPS : folder to store any positioning related file. If any kind of correction is possible on files (e.g. Post-Processed Kinematic thanks to rinex data) then the distinction between device data and base data is made. If, on the other hand, only device position data are present and the files cannot be corrected by post-processing techniques (e.g. gpx files), then the distinction between base and device is not made and the files are placed directly at the root of the GPS folder. │ ├── BASE : files coming from rtk station or any static positioning instrument. │ └── DEVICE : files coming from the device. ├── METADATA : folder with general information files about the session. ├── PROCESSED_DATA : contain all the folders needed to store the results of the data processing of the current session. │ ├── BATHY : output folder for bathymetry raw data extracted from mission logs. │ ├── FRAMES : output folder for georeferenced frames extracted from DCIM videos. │ ├── IA : destination folder for image recognition predictions. │ └── PHOTOGRAMMETRY : destination folder for reconstructed models in photogrammetry. └── SENSORS : folder to store files coming from other sources (bathymetry data from the echosounder, log file from the autopilot, mission plan etc.). Software All the raw data was processed using our worflow. All predictions were generated by our inference pipeline. You can find all the necessary scripts to download this data in this repository. Enjoy your data with SeatizenDOI!","url":"https://doi.org/10.5281/zenodo.15831370","authors":["Matteo Contini","Sylvain Bonhommeau","Serge Bernard","Julien Barde"],"tags":["Artificial Intelligence","Citizen Sciences","Computer Vision","Coral Reef","Coral Reef Habitat","Deep Learning","Drone","Ecology"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.15831370","addedAt":"2026-08-31T06:40:02.533Z","updatedAt":"2026-08-31T06:40:02.533Z"},{"id":"doi:10.5281/zenodo.15831371","name":"Aerial images collected by an Unmanned Aerial Vehicle in Trou-Deau, Réunion - 2025-05-16","source":"datacite","abstract":"This dataset was collected by an Unmanned Aerial Vehicle in Trou-Deau, Réunion - 2025-05-16. Underwater or aerial images collected by scientists or citizens can have a wide variety of use for science, management, or conservation. These images can be annotated and shared to train IA models which can in turn predict the objects on the images. We provide a set of tools (hardware and software) to collect marine data, predict species or habitat, and provide maps. This dataset is part of larger collection referencing numerous underwater and aerial images Seatizen Altas. Methods, tools and scientific objectives are also described in a dedicated data paper. Survey information Camera: Hasselblad L1D-20c Number of images: 703 Total size: 6.13 Gb Flight start: 2025:05:16 04:27:10 Flight end: 2025:05:16 05:02:55 Flight duration: 0h 35min 45sec Median height: 59.9 m Area covered: 19.72 a Generic folder structure YYYYMMDD_COUNTRYCODE-optionalplace_device_session-number ├── DCIM : folder to store videos and photos depending on the media collected. ├── GPS : folder to store any positioning related file. If any kind of correction is possible on files (e.g. Post-Processed Kinematic thanks to rinex data) then the distinction between device data and base data is made. If, on the other hand, only device position data are present and the files cannot be corrected by post-processing techniques (e.g. gpx files), then the distinction between base and device is not made and the files are placed directly at the root of the GPS folder. │ ├── BASE : files coming from rtk station or any static positioning instrument. │ └── DEVICE : files coming from the device. ├── METADATA : folder with general information files about the session. ├── PROCESSED_DATA : contain all the folders needed to store the results of the data processing of the current session. │ ├── BATHY : output folder for bathymetry raw data extracted from mission logs. │ ├── FRAMES : output folder for georeferenced frames extracted from DCIM videos. │ ├── IA : destination folder for image recognition predictions. │ └── PHOTOGRAMMETRY : destination folder for reconstructed models in photogrammetry. └── SENSORS : folder to store files coming from other sources (bathymetry data from the echosounder, log file from the autopilot, mission plan etc.). Software All the raw data was processed using our worflow. All predictions were generated by our inference pipeline. You can find all the necessary scripts to download this data in this repository. Enjoy your data with SeatizenDOI!","url":"https://doi.org/10.5281/zenodo.15831371","authors":["Matteo Contini","Sylvain Bonhommeau","Serge Bernard","Julien Barde"],"tags":["Artificial Intelligence","Citizen Sciences","Computer Vision","Coral Reef","Coral Reef Habitat","Deep Learning","Drone","Ecology"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.15831371","addedAt":"2026-08-31T06:40:02.533Z","updatedAt":"2026-08-31T06:40:02.533Z"},{"id":"doi:10.5281/zenodo.15831344","name":"Aerial images collected by an Unmanned Aerial Vehicle in St-Leu, Réunion - 2025-05-14","source":"datacite","abstract":"This dataset was collected by an Unmanned Aerial Vehicle in St-Leu, Réunion - 2025-05-14. Underwater or aerial images collected by scientists or citizens can have a wide variety of use for science, management, or conservation. These images can be annotated and shared to train IA models which can in turn predict the objects on the images. We provide a set of tools (hardware and software) to collect marine data, predict species or habitat, and provide maps. This dataset is part of larger collection referencing numerous underwater and aerial images Seatizen Altas. Methods, tools and scientific objectives are also described in a dedicated data paper. Survey information Camera: Hasselblad L1D-20c Number of images: 229 Total size: 2.85 Gb Flight start: 2025:05:14 05:58:39 Flight end: 2025:05:14 06:07:17 Flight duration: 0h 8min 38sec Median height: 60.0 m Area covered: 1.66 a Photogrammetry OpenDroneMap software was used to create an orthophoto from the raw images. Here is the list of parameters different from the default values for the orthophoto generation. For more details, you can read the log.json file or the 000_photogrammatry_report.pdf report. {'auto_boundary': True, 'cog': True, 'fast_orthophoto': True, 'feature_quality': 'ultra', 'max_concurrency': 128, 'optimize_disk_space': True, 'orthophoto_resolution': 1.0, 'rolling_shutter': True, 'skip_3dmodel': True} Generic folder structure YYYYMMDD_COUNTRYCODE-optionalplace_device_session-number ├── DCIM : folder to store videos and photos depending on the media collected. ├── GPS : folder to store any positioning related file. If any kind of correction is possible on files (e.g. Post-Processed Kinematic thanks to rinex data) then the distinction between device data and base data is made. If, on the other hand, only device position data are present and the files cannot be corrected by post-processing techniques (e.g. gpx files), then the distinction between base and device is not made and the files are placed directly at the root of the GPS folder. │ ├── BASE : files coming from rtk station or any static positioning instrument. │ └── DEVICE : files coming from the device. ├── METADATA : folder with general information files about the session. ├── PROCESSED_DATA : contain all the folders needed to store the results of the data processing of the current session. │ ├── BATHY : output folder for bathymetry raw data extracted from mission logs. │ ├── FRAMES : output folder for georeferenced frames extracted from DCIM videos. │ ├── IA : destination folder for image recognition predictions. │ └── PHOTOGRAMMETRY : destination folder for reconstructed models in photogrammetry. └── SENSORS : folder to store files coming from other sources (bathymetry data from the echosounder, log file from the autopilot, mission plan etc.). Software All the raw data was processed using our worflow. All predictions were generated by our inference pipeline. You can find all the necessary scripts to download this data in this repository. Enjoy your data with SeatizenDOI!","url":"https://doi.org/10.5281/zenodo.15831344","authors":["Matteo Contini","Sylvain Bonhommeau","Serge Bernard","Julien Barde"],"tags":["Artificial Intelligence","Citizen Sciences","Computer Vision","Coral Reef","Coral Reef Habitat","Deep Learning","Drone","Ecology"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.15831344","addedAt":"2026-08-31T06:40:02.533Z","updatedAt":"2026-08-31T06:40:02.533Z"},{"id":"doi:10.5281/zenodo.15831365","name":"Aerial images collected by an Unmanned Aerial Vehicle in St-Leu, Réunion - 2025-05-14","source":"datacite","abstract":"This dataset was collected by an Unmanned Aerial Vehicle in St-Leu, Réunion - 2025-05-14. Underwater or aerial images collected by scientists or citizens can have a wide variety of use for science, management, or conservation. These images can be annotated and shared to train IA models which can in turn predict the objects on the images. We provide a set of tools (hardware and software) to collect marine data, predict species or habitat, and provide maps. This dataset is part of larger collection referencing numerous underwater and aerial images Seatizen Altas. Methods, tools and scientific objectives are also described in a dedicated data paper. Survey information Camera: Hasselblad L1D-20c Number of images: 229 Total size: 2.85 Gb Flight start: 2025:05:14 05:58:39 Flight end: 2025:05:14 06:07:17 Flight duration: 0h 8min 38sec Median height: 60.0 m Area covered: 1.66 a Photogrammetry OpenDroneMap software was used to create an orthophoto from the raw images. Here is the list of parameters different from the default values for the orthophoto generation. For more details, you can read the log.json file or the 000_photogrammatry_report.pdf report. {'auto_boundary': True, 'cog': True, 'fast_orthophoto': True, 'feature_quality': 'ultra', 'max_concurrency': 128, 'optimize_disk_space': True, 'orthophoto_resolution': 1.0, 'rolling_shutter': True, 'skip_3dmodel': True} Generic folder structure YYYYMMDD_COUNTRYCODE-optionalplace_device_session-number ├── DCIM : folder to store videos and photos depending on the media collected. ├── GPS : folder to store any positioning related file. If any kind of correction is possible on files (e.g. Post-Processed Kinematic thanks to rinex data) then the distinction between device data and base data is made. If, on the other hand, only device position data are present and the files cannot be corrected by post-processing techniques (e.g. gpx files), then the distinction between base and device is not made and the files are placed directly at the root of the GPS folder. │ ├── BASE : files coming from rtk station or any static positioning instrument. │ └── DEVICE : files coming from the device. ├── METADATA : folder with general information files about the session. ├── PROCESSED_DATA : contain all the folders needed to store the results of the data processing of the current session. │ ├── BATHY : output folder for bathymetry raw data extracted from mission logs. │ ├── FRAMES : output folder for georeferenced frames extracted from DCIM videos. │ ├── IA : destination folder for image recognition predictions. │ └── PHOTOGRAMMETRY : destination folder for reconstructed models in photogrammetry. └── SENSORS : folder to store files coming from other sources (bathymetry data from the echosounder, log file from the autopilot, mission plan etc.). Software All the raw data was processed using our worflow. All predictions were generated by our inference pipeline. You can find all the necessary scripts to download this data in this repository. Enjoy your data with SeatizenDOI!","url":"https://doi.org/10.5281/zenodo.15831365","authors":["Matteo Contini","Sylvain Bonhommeau","Serge Bernard","Julien Barde"],"tags":["Artificial Intelligence","Citizen Sciences","Computer Vision","Coral Reef","Coral Reef Habitat","Deep Learning","Drone","Ecology"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.15831365","addedAt":"2026-08-31T06:40:02.533Z","updatedAt":"2026-08-31T06:40:02.533Z"},{"id":"doi:10.5281/zenodo.15831345","name":"Aerial images collected by an Unmanned Aerial Vehicle in St-Leu, Réunion - 2025-05-14","source":"datacite","abstract":"This dataset was collected by an Unmanned Aerial Vehicle in St-Leu, Réunion - 2025-05-14. Underwater or aerial images collected by scientists or citizens can have a wide variety of use for science, management, or conservation. These images can be annotated and shared to train IA models which can in turn predict the objects on the images. We provide a set of tools (hardware and software) to collect marine data, predict species or habitat, and provide maps. This dataset is part of larger collection referencing numerous underwater and aerial images Seatizen Altas. Methods, tools and scientific objectives are also described in a dedicated data paper. Survey information Camera: Hasselblad L1D-20c Number of images: 229 Total size: 2.85 Gb Flight start: 2025:05:14 05:58:39 Flight end: 2025:05:14 06:07:17 Flight duration: 0h 8min 38sec Median height: 60.0 m Area covered: 1.66 a Generic folder structure YYYYMMDD_COUNTRYCODE-optionalplace_device_session-number ├── DCIM : folder to store videos and photos depending on the media collected. ├── GPS : folder to store any positioning related file. If any kind of correction is possible on files (e.g. Post-Processed Kinematic thanks to rinex data) then the distinction between device data and base data is made. If, on the other hand, only device position data are present and the files cannot be corrected by post-processing techniques (e.g. gpx files), then the distinction between base and device is not made and the files are placed directly at the root of the GPS folder. │ ├── BASE : files coming from rtk station or any static positioning instrument. │ └── DEVICE : files coming from the device. ├── METADATA : folder with general information files about the session. ├── PROCESSED_DATA : contain all the folders needed to store the results of the data processing of the current session. │ ├── BATHY : output folder for bathymetry raw data extracted from mission logs. │ ├── FRAMES : output folder for georeferenced frames extracted from DCIM videos. │ ├── IA : destination folder for image recognition predictions. │ └── PHOTOGRAMMETRY : destination folder for reconstructed models in photogrammetry. └── SENSORS : folder to store files coming from other sources (bathymetry data from the echosounder, log file from the autopilot, mission plan etc.). Software All the raw data was processed using our worflow. All predictions were generated by our inference pipeline. You can find all the necessary scripts to download this data in this repository. Enjoy your data with SeatizenDOI!","url":"https://doi.org/10.5281/zenodo.15831345","authors":["Matteo Contini","Sylvain Bonhommeau","Serge Bernard","Julien Barde"],"tags":["Artificial Intelligence","Citizen Sciences","Computer Vision","Coral Reef","Coral Reef Habitat","Deep Learning","Drone","Ecology"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.15831345","addedAt":"2026-08-31T06:40:02.533Z","updatedAt":"2026-08-31T06:40:02.533Z"},{"id":"doi:10.5281/zenodo.15831332","name":"Aerial images collected by an Unmanned Aerial Vehicle in St-Leu, Réunion - 2025-05-14","source":"datacite","abstract":"This dataset was collected by an Unmanned Aerial Vehicle in St-Leu, Réunion - 2025-05-14. Underwater or aerial images collected by scientists or citizens can have a wide variety of use for science, management, or conservation. These images can be annotated and shared to train IA models which can in turn predict the objects on the images. We provide a set of tools (hardware and software) to collect marine data, predict species or habitat, and provide maps. This dataset is part of larger collection referencing numerous underwater and aerial images Seatizen Altas. Methods, tools and scientific objectives are also described in a dedicated data paper. Survey information Camera: Hasselblad L1D-20c Number of images: 442 Total size: 4.01 Gb Flight start: 2025:05:14 05:09:26 Flight end: 2025:05:14 05:39:50 Flight duration: 0h 30min 24sec Median height: 59.9 m Area covered: 6.14 a Photogrammetry OpenDroneMap software was used to create an orthophoto from the raw images. Here is the list of parameters different from the default values for the orthophoto generation. For more details, you can read the log.json file or the 000_photogrammatry_report.pdf report. {'auto_boundary': True, 'cog': True, 'fast_orthophoto': True, 'feature_quality': 'ultra', 'max_concurrency': 128, 'optimize_disk_space': True, 'orthophoto_resolution': 1.0, 'rolling_shutter': True, 'skip_3dmodel': True} Generic folder structure YYYYMMDD_COUNTRYCODE-optionalplace_device_session-number ├── DCIM : folder to store videos and photos depending on the media collected. ├── GPS : folder to store any positioning related file. If any kind of correction is possible on files (e.g. Post-Processed Kinematic thanks to rinex data) then the distinction between device data and base data is made. If, on the other hand, only device position data are present and the files cannot be corrected by post-processing techniques (e.g. gpx files), then the distinction between base and device is not made and the files are placed directly at the root of the GPS folder. │ ├── BASE : files coming from rtk station or any static positioning instrument. │ └── DEVICE : files coming from the device. ├── METADATA : folder with general information files about the session. ├── PROCESSED_DATA : contain all the folders needed to store the results of the data processing of the current session. │ ├── BATHY : output folder for bathymetry raw data extracted from mission logs. │ ├── FRAMES : output folder for georeferenced frames extracted from DCIM videos. │ ├── IA : destination folder for image recognition predictions. │ └── PHOTOGRAMMETRY : destination folder for reconstructed models in photogrammetry. └── SENSORS : folder to store files coming from other sources (bathymetry data from the echosounder, log file from the autopilot, mission plan etc.). Software All the raw data was processed using our worflow. All predictions were generated by our inference pipeline. You can find all the necessary scripts to download this data in this repository. Enjoy your data with SeatizenDOI!","url":"https://doi.org/10.5281/zenodo.15831332","authors":["Matteo Contini","Sylvain Bonhommeau","Serge Bernard","Julien Barde"],"tags":["Artificial Intelligence","Citizen Sciences","Computer Vision","Coral Reef","Coral Reef Habitat","Deep Learning","Drone","Ecology"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.15831332","addedAt":"2026-08-31T06:40:02.533Z","updatedAt":"2026-08-31T06:40:02.533Z"},{"id":"doi:10.5281/zenodo.15831316","name":"Aerial images collected by an Unmanned Aerial Vehicle in St-Leu, Réunion - 2025-05-14","source":"datacite","abstract":"This dataset was collected by an Unmanned Aerial Vehicle in St-Leu, Réunion - 2025-05-14. Underwater or aerial images collected by scientists or citizens can have a wide variety of use for science, management, or conservation. These images can be annotated and shared to train IA models which can in turn predict the objects on the images. We provide a set of tools (hardware and software) to collect marine data, predict species or habitat, and provide maps. This dataset is part of larger collection referencing numerous underwater and aerial images Seatizen Altas. Methods, tools and scientific objectives are also described in a dedicated data paper. Survey information Camera: Hasselblad L1D-20c Number of images: 442 Total size: 4.01 Gb Flight start: 2025:05:14 05:09:26 Flight end: 2025:05:14 05:39:50 Flight duration: 0h 30min 24sec Median height: 59.9 m Area covered: 6.14 a Photogrammetry OpenDroneMap software was used to create an orthophoto from the raw images. Here is the list of parameters different from the default values for the orthophoto generation. For more details, you can read the log.json file or the 000_photogrammatry_report.pdf report. {'auto_boundary': True, 'cog': True, 'fast_orthophoto': True, 'feature_quality': 'ultra', 'max_concurrency': 128, 'optimize_disk_space': True, 'orthophoto_resolution': 1.0, 'rolling_shutter': True, 'skip_3dmodel': True} Generic folder structure YYYYMMDD_COUNTRYCODE-optionalplace_device_session-number ├── DCIM : folder to store videos and photos depending on the media collected. ├── GPS : folder to store any positioning related file. If any kind of correction is possible on files (e.g. Post-Processed Kinematic thanks to rinex data) then the distinction between device data and base data is made. If, on the other hand, only device position data are present and the files cannot be corrected by post-processing techniques (e.g. gpx files), then the distinction between base and device is not made and the files are placed directly at the root of the GPS folder. │ ├── BASE : files coming from rtk station or any static positioning instrument. │ └── DEVICE : files coming from the device. ├── METADATA : folder with general information files about the session. ├── PROCESSED_DATA : contain all the folders needed to store the results of the data processing of the current session. │ ├── BATHY : output folder for bathymetry raw data extracted from mission logs. │ ├── FRAMES : output folder for georeferenced frames extracted from DCIM videos. │ ├── IA : destination folder for image recognition predictions. │ └── PHOTOGRAMMETRY : destination folder for reconstructed models in photogrammetry. └── SENSORS : folder to store files coming from other sources (bathymetry data from the echosounder, log file from the autopilot, mission plan etc.). Software All the raw data was processed using our worflow. All predictions were generated by our inference pipeline. You can find all the necessary scripts to download this data in this repository. Enjoy your data with SeatizenDOI!","url":"https://doi.org/10.5281/zenodo.15831316","authors":["Matteo Contini","Sylvain Bonhommeau","Serge Bernard","Julien Barde"],"tags":["Artificial Intelligence","Citizen Sciences","Computer Vision","Coral Reef","Coral Reef Habitat","Deep Learning","Drone","Ecology"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.15831316","addedAt":"2026-08-31T06:40:02.533Z","updatedAt":"2026-08-31T06:40:02.533Z"},{"id":"doi:10.5281/zenodo.15831317","name":"Aerial images collected by an Unmanned Aerial Vehicle in St-Leu, Réunion - 2025-05-14","source":"datacite","abstract":"This dataset was collected by an Unmanned Aerial Vehicle in St-Leu, Réunion - 2025-05-14. Underwater or aerial images collected by scientists or citizens can have a wide variety of use for science, management, or conservation. These images can be annotated and shared to train IA models which can in turn predict the objects on the images. We provide a set of tools (hardware and software) to collect marine data, predict species or habitat, and provide maps. This dataset is part of larger collection referencing numerous underwater and aerial images Seatizen Altas. Methods, tools and scientific objectives are also described in a dedicated data paper. Survey information Camera: Hasselblad L1D-20c Number of images: 442 Total size: 4.01 Gb Flight start: 2025:05:14 05:09:26 Flight end: 2025:05:14 05:39:50 Flight duration: 0h 30min 24sec Median height: 59.9 m Area covered: 6.14 a Generic folder structure YYYYMMDD_COUNTRYCODE-optionalplace_device_session-number ├── DCIM : folder to store videos and photos depending on the media collected. ├── GPS : folder to store any positioning related file. If any kind of correction is possible on files (e.g. Post-Processed Kinematic thanks to rinex data) then the distinction between device data and base data is made. If, on the other hand, only device position data are present and the files cannot be corrected by post-processing techniques (e.g. gpx files), then the distinction between base and device is not made and the files are placed directly at the root of the GPS folder. │ ├── BASE : files coming from rtk station or any static positioning instrument. │ └── DEVICE : files coming from the device. ├── METADATA : folder with general information files about the session. ├── PROCESSED_DATA : contain all the folders needed to store the results of the data processing of the current session. │ ├── BATHY : output folder for bathymetry raw data extracted from mission logs. │ ├── FRAMES : output folder for georeferenced frames extracted from DCIM videos. │ ├── IA : destination folder for image recognition predictions. │ └── PHOTOGRAMMETRY : destination folder for reconstructed models in photogrammetry. └── SENSORS : folder to store files coming from other sources (bathymetry data from the echosounder, log file from the autopilot, mission plan etc.). Software All the raw data was processed using our worflow. All predictions were generated by our inference pipeline. You can find all the necessary scripts to download this data in this repository. Enjoy your data with SeatizenDOI!","url":"https://doi.org/10.5281/zenodo.15831317","authors":["Matteo Contini","Sylvain Bonhommeau","Serge Bernard","Julien Barde"],"tags":["Artificial Intelligence","Citizen Sciences","Computer Vision","Coral Reef","Coral Reef Habitat","Deep Learning","Drone","Ecology"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.15831317","addedAt":"2026-08-31T06:40:02.533Z","updatedAt":"2026-08-31T06:40:02.533Z"},{"id":"doi:10.5281/zenodo.15831283","name":"Aerial images collected by an Unmanned Aerial Vehicle in St-Leu, Réunion - 2025-05-14","source":"datacite","abstract":"This dataset was collected by an Unmanned Aerial Vehicle in St-Leu, Réunion - 2025-05-14. Underwater or aerial images collected by scientists or citizens can have a wide variety of use for science, management, or conservation. These images can be annotated and shared to train IA models which can in turn predict the objects on the images. We provide a set of tools (hardware and software) to collect marine data, predict species or habitat, and provide maps. This dataset is part of larger collection referencing numerous underwater and aerial images Seatizen Altas. Methods, tools and scientific objectives are also described in a dedicated data paper. Survey information Camera: Hasselblad L1D-20c Number of images: 274 Total size: 2.44 Gb Flight start: 2025:05:14 04:37:40 Flight end: 2025:05:14 04:52:40 Flight duration: 0h 15min 0sec Median height: 60.0 m Area covered: 4.42 a Photogrammetry OpenDroneMap software was used to create an orthophoto from the raw images. Here is the list of parameters different from the default values for the orthophoto generation. For more details, you can read the log.json file or the 000_photogrammatry_report.pdf report. {'auto_boundary': True, 'cog': True, 'fast_orthophoto': True, 'feature_quality': 'ultra', 'max_concurrency': 128, 'optimize_disk_space': True, 'orthophoto_resolution': 1.0, 'rolling_shutter': True, 'skip_3dmodel': True} Generic folder structure YYYYMMDD_COUNTRYCODE-optionalplace_device_session-number ├── DCIM : folder to store videos and photos depending on the media collected. ├── GPS : folder to store any positioning related file. If any kind of correction is possible on files (e.g. Post-Processed Kinematic thanks to rinex data) then the distinction between device data and base data is made. If, on the other hand, only device position data are present and the files cannot be corrected by post-processing techniques (e.g. gpx files), then the distinction between base and device is not made and the files are placed directly at the root of the GPS folder. │ ├── BASE : files coming from rtk station or any static positioning instrument. │ └── DEVICE : files coming from the device. ├── METADATA : folder with general information files about the session. ├── PROCESSED_DATA : contain all the folders needed to store the results of the data processing of the current session. │ ├── BATHY : output folder for bathymetry raw data extracted from mission logs. │ ├── FRAMES : output folder for georeferenced frames extracted from DCIM videos. │ ├── IA : destination folder for image recognition predictions. │ └── PHOTOGRAMMETRY : destination folder for reconstructed models in photogrammetry. └── SENSORS : folder to store files coming from other sources (bathymetry data from the echosounder, log file from the autopilot, mission plan etc.). Software All the raw data was processed using our worflow. All predictions were generated by our inference pipeline. You can find all the necessary scripts to download this data in this repository. Enjoy your data with SeatizenDOI!","url":"https://doi.org/10.5281/zenodo.15831283","authors":["Matteo Contini","Sylvain Bonhommeau","Serge Bernard","Julien Barde"],"tags":["Artificial Intelligence","Citizen Sciences","Computer Vision","Coral Reef","Coral Reef Habitat","Deep Learning","Drone","Ecology"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.15831283","addedAt":"2026-08-31T06:40:02.533Z","updatedAt":"2026-08-31T06:40:02.533Z"},{"id":"doi:10.5281/zenodo.15831307","name":"Aerial images collected by an Unmanned Aerial Vehicle in St-Leu, Réunion - 2025-05-14","source":"datacite","abstract":"This dataset was collected by an Unmanned Aerial Vehicle in St-Leu, Réunion - 2025-05-14. Underwater or aerial images collected by scientists or citizens can have a wide variety of use for science, management, or conservation. These images can be annotated and shared to train IA models which can in turn predict the objects on the images. We provide a set of tools (hardware and software) to collect marine data, predict species or habitat, and provide maps. This dataset is part of larger collection referencing numerous underwater and aerial images Seatizen Altas. Methods, tools and scientific objectives are also described in a dedicated data paper. Survey information Camera: Hasselblad L1D-20c Number of images: 274 Total size: 2.44 Gb Flight start: 2025:05:14 04:37:40 Flight end: 2025:05:14 04:52:40 Flight duration: 0h 15min 0sec Median height: 60.0 m Area covered: 4.42 a Photogrammetry OpenDroneMap software was used to create an orthophoto from the raw images. Here is the list of parameters different from the default values for the orthophoto generation. For more details, you can read the log.json file or the 000_photogrammatry_report.pdf report. {'auto_boundary': True, 'cog': True, 'fast_orthophoto': True, 'feature_quality': 'ultra', 'max_concurrency': 128, 'optimize_disk_space': True, 'orthophoto_resolution': 1.0, 'rolling_shutter': True, 'skip_3dmodel': True} Generic folder structure YYYYMMDD_COUNTRYCODE-optionalplace_device_session-number ├── DCIM : folder to store videos and photos depending on the media collected. ├── GPS : folder to store any positioning related file. If any kind of correction is possible on files (e.g. Post-Processed Kinematic thanks to rinex data) then the distinction between device data and base data is made. If, on the other hand, only device position data are present and the files cannot be corrected by post-processing techniques (e.g. gpx files), then the distinction between base and device is not made and the files are placed directly at the root of the GPS folder. │ ├── BASE : files coming from rtk station or any static positioning instrument. │ └── DEVICE : files coming from the device. ├── METADATA : folder with general information files about the session. ├── PROCESSED_DATA : contain all the folders needed to store the results of the data processing of the current session. │ ├── BATHY : output folder for bathymetry raw data extracted from mission logs. │ ├── FRAMES : output folder for georeferenced frames extracted from DCIM videos. │ ├── IA : destination folder for image recognition predictions. │ └── PHOTOGRAMMETRY : destination folder for reconstructed models in photogrammetry. └── SENSORS : folder to store files coming from other sources (bathymetry data from the echosounder, log file from the autopilot, mission plan etc.). Software All the raw data was processed using our worflow. All predictions were generated by our inference pipeline. You can find all the necessary scripts to download this data in this repository. Enjoy your data with SeatizenDOI!","url":"https://doi.org/10.5281/zenodo.15831307","authors":["Matteo Contini","Sylvain Bonhommeau","Serge Bernard","Julien Barde"],"tags":["Artificial Intelligence","Citizen Sciences","Computer Vision","Coral Reef","Coral Reef Habitat","Deep Learning","Drone","Ecology"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.15831307","addedAt":"2026-08-31T06:40:02.533Z","updatedAt":"2026-08-31T06:40:02.533Z"},{"id":"doi:10.5281/zenodo.15831284","name":"Aerial images collected by an Unmanned Aerial Vehicle in St-Leu, Réunion - 2025-05-14","source":"datacite","abstract":"This dataset was collected by an Unmanned Aerial Vehicle in St-Leu, Réunion - 2025-05-14. Underwater or aerial images collected by scientists or citizens can have a wide variety of use for science, management, or conservation. These images can be annotated and shared to train IA models which can in turn predict the objects on the images. We provide a set of tools (hardware and software) to collect marine data, predict species or habitat, and provide maps. This dataset is part of larger collection referencing numerous underwater and aerial images Seatizen Altas. Methods, tools and scientific objectives are also described in a dedicated data paper. Survey information Camera: Hasselblad L1D-20c Number of images: 274 Total size: 2.44 Gb Flight start: 2025:05:14 04:37:40 Flight end: 2025:05:14 04:52:40 Flight duration: 0h 15min 0sec Median height: 60.0 m Area covered: 4.42 a Generic folder structure YYYYMMDD_COUNTRYCODE-optionalplace_device_session-number ├── DCIM : folder to store videos and photos depending on the media collected. ├── GPS : folder to store any positioning related file. If any kind of correction is possible on files (e.g. Post-Processed Kinematic thanks to rinex data) then the distinction between device data and base data is made. If, on the other hand, only device position data are present and the files cannot be corrected by post-processing techniques (e.g. gpx files), then the distinction between base and device is not made and the files are placed directly at the root of the GPS folder. │ ├── BASE : files coming from rtk station or any static positioning instrument. │ └── DEVICE : files coming from the device. ├── METADATA : folder with general information files about the session. ├── PROCESSED_DATA : contain all the folders needed to store the results of the data processing of the current session. │ ├── BATHY : output folder for bathymetry raw data extracted from mission logs. │ ├── FRAMES : output folder for georeferenced frames extracted from DCIM videos. │ ├── IA : destination folder for image recognition predictions. │ └── PHOTOGRAMMETRY : destination folder for reconstructed models in photogrammetry. └── SENSORS : folder to store files coming from other sources (bathymetry data from the echosounder, log file from the autopilot, mission plan etc.). Software All the raw data was processed using our worflow. All predictions were generated by our inference pipeline. You can find all the necessary scripts to download this data in this repository. Enjoy your data with SeatizenDOI!","url":"https://doi.org/10.5281/zenodo.15831284","authors":["Matteo Contini","Sylvain Bonhommeau","Serge Bernard","Julien Barde"],"tags":["Artificial Intelligence","Citizen Sciences","Computer Vision","Coral Reef","Coral Reef Habitat","Deep Learning","Drone","Ecology"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.15831284","addedAt":"2026-08-31T06:40:02.533Z","updatedAt":"2026-08-31T06:40:02.533Z"},{"id":"doi:10.48550/arxiv.2402.12415","name":"Vehicle-group-based Crash Risk Prediction and Interpretation on Highways","source":"datacite","abstract":"Previous studies in predicting crash risks primarily associated the number or likelihood of crashes on a road segment with traffic parameters or geometric characteristics, usually neglecting the impact of vehicles' continuous movement and interactions with nearby vehicles. Recent technology advances, such as Connected and Automated Vehicles (CAVs) and Unmanned Aerial Vehicles (UAVs) are able to collect high-resolution trajectory data, which enables trajectory-based risk analysis. This study investigates a new vehicle group (VG) based risk analysis method and explores risk evolution mechanisms considering VG features. An impact-based vehicle grouping method is proposed to cluster vehicles into VGs by evaluating their responses to the erratic behaviors of nearby vehicles. The risk of a VG is aggregated based on the risk between each vehicle pair in the VG, measured by inverse Time-to-Collision (iTTC). A Logistic Regression and a Graph Neural Network (GNN) are then employed to predict VG risks using aggregated and disaggregated VG information. Both methods achieve excellent performance with AUC values exceeding 0.93. For the GNN model, GNNExplainer with feature perturbation is applied to identify critical individual vehicle features and their directional impact on VG risks. Overall, this research contributes a new perspective for identifying, predicting, and interpreting traffic risks.","url":"https://doi.org/10.48550/arxiv.2402.12415","authors":["Zhu, Tianheng","Wang, Ling","Feng, Yiheng","Ma, Wanjing","Abdel-Aty, Mohamed"],"tags":["Machine Learning (cs.LG)","Computers and Society (cs.CY)","FOS: Computer and information sciences","FOS: Computer and information sciences"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.48550/arxiv.2402.12415","addedAt":"2026-08-31T06:40:02.533Z","updatedAt":"2026-08-31T06:40:02.533Z"},{"id":"doi:10.48550/arxiv.2507.00849","name":"UAVD-Mamba: Deformable Token Fusion Vision Mamba for Multimodal UAV Detection","source":"datacite","abstract":"Unmanned Aerial Vehicle (UAV) object detection has been widely used in traffic management, agriculture, emergency rescue, etc. However, it faces significant challenges, including occlusions, small object sizes, and irregular shapes. These challenges highlight the necessity for a robust and efficient multimodal UAV object detection method. Mamba has demonstrated considerable potential in multimodal image fusion. Leveraging this, we propose UAVD-Mamba, a multimodal UAV object detection framework based on Mamba architectures. To improve geometric adaptability, we propose the Deformable Token Mamba Block (DTMB) to generate deformable tokens by incorporating adaptive patches from deformable convolutions alongside normal patches from normal convolutions, which serve as the inputs to the Mamba Block. To optimize the multimodal feature complementarity, we design two separate DTMBs for the RGB and infrared (IR) modalities, with the outputs from both DTMBs integrated into the Mamba Block for feature extraction and into the Fusion Mamba Block for feature fusion. Additionally, to improve multiscale object detection, especially for small objects, we stack four DTMBs at different scales to produce multiscale feature representations, which are then sent to the Detection Neck for Mamba (DNM). The DNM module, inspired by the YOLO series, includes modifications to the SPPF and C3K2 of YOLOv11 to better handle the multiscale features. In particular, we employ cross-enhanced spatial attention before the DTMB and cross-channel attention after the Fusion Mamba Block to extract more discriminative features. Experimental results on the DroneVehicle dataset show that our method outperforms the baseline OAFA method by 3.6% in the mAP metric. Codes will be released at https://github.com/GreatPlum-hnu/UAVD-Mamba.git.","url":"https://doi.org/10.48550/arxiv.2507.00849","authors":["Li, Wei","Tang, Jiaman","Li, Yang","Xia, Beihao","Tan, Ligang","Qin, Hongmao"],"tags":["Computer Vision and Pattern Recognition (cs.CV)","FOS: Computer and information sciences","FOS: Computer and information sciences"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.48550/arxiv.2507.00849","addedAt":"2026-08-31T06:40:02.533Z","updatedAt":"2026-08-31T06:40:02.533Z"},{"id":"doi:10.48550/arxiv.2506.16304","name":"A Tractable Approach to Massive Communication and Ubiquitous Connectivity in 6G Standardization","source":"datacite","abstract":"The full-scale 6G standardization has attracted considerable recent attention, especially since the first 3GPP-wide 6G workshop held in March 2025. To understand the practical and fundamental values of 6G and facilitate its standardization, it is crucial to explore the theoretical limits of spectrum, energy, and coverage efficiency considering practical hardware and signaling constraints. In this paper, we present a mean-field-approximation-based investigation on two out of six use case scenarios defined by IMT-2030, namely, massive communication and ubiquitous connectivity. Being aware of the limitation in interference cancellation owing to constrained cost and hardware complexity, we investigate the spectrum reuse architecture in both usage scenarios. We propose a tractable spectrum reuse with low signaling overhead consumed for channel estimation and channel state information (CSI) feedback. Our analysis indicates that the massive communication over cellular and device-to-device (D2D) networks can benefit from channel orthogonalization, while it is unnecessary to share the CSI of interfering links. Moreover, deploying relays or movable base stations, e.g. unmanned aerial vehicle, yields substantial energy and spectrum gain for ubiquitous connectivity, despite introducing interference. As such, the mean-field-optimization-based evaluation is expected to positively impact 6G and NextG standardization in 3GPP and other standardization bodies.","url":"https://doi.org/10.48550/arxiv.2506.16304","authors":["Jiang, Junyi","Chen, Wei","Guo, Xin","Song, Shenghui","Jun, Ying","Zhang","Han, Zhu","Debbah, Merouane","Letaief, Khaled B."],"tags":["Signal Processing (eess.SP)","FOS: Electrical engineering, electronic engineering, information engineering","FOS: Electrical engineering, electronic engineering, information engineering"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.48550/arxiv.2506.16304","addedAt":"2026-08-31T06:40:02.533Z","updatedAt":"2026-08-31T06:40:02.533Z"},{"id":"doi:10.48550/arxiv.2411.10941","name":"Efficient Estimation of Relaxed Model Parameters for Robust UAV Trajectory Optimization","source":"datacite","abstract":"Online trajectory optimization and optimal control methods are crucial for enabling sustainable unmanned aerial vehicle (UAV) services, such as agriculture, environmental monitoring, and transportation, where available actuation and energy are limited. However, optimal controllers are highly sensitive to model mismatch, which can occur due to loaded equipment, packages to be delivered, or pre-existing variability in fundamental structural and thrust-related parameters. To circumvent this problem, optimal controllers can be paired with parameter estimators to improve their trajectory planning performance and perform adaptive control. However, UAV platforms are limited in terms of onboard processing power, oftentimes making nonlinear parameter estimation too computationally expensive to consider. To address these issues, we propose a relaxed, affine-in-parameters multirotor model along with an efficient optimal parameter estimator. We convexify the nominal Moving Horizon Parameter Estimation (MHPE) problem into a linear-quadratic form (LQ-MHPE) via an affine-in-parameter relaxation on the nonlinear dynamics, resulting in fast quadratic programs (QPs) that facilitate adaptive Model Predictve Control (MPC) in real time. We compare this approach to the equivalent nonlinear estimator in Monte Carlo simulations, demonstrating a decrease in average solve time and trajectory optimality cost by 98.2% and 23.9-56.2%, respectively.","url":"https://doi.org/10.48550/arxiv.2411.10941","authors":["Fan, Derek","Copp, David A."],"tags":["Optimization and Control (math.OC)","Robotics (cs.RO)","Systems and Control (eess.SY)","FOS: Mathematics","FOS: Mathematics","FOS: Computer and information sciences","FOS: Computer and information sciences","FOS: Electrical engineering, electronic engineering, information engineering"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.48550/arxiv.2411.10941","addedAt":"2026-08-31T06:40:02.533Z","updatedAt":"2026-08-31T06:40:02.533Z"},{"id":"doi:10.60493/81ks5-8x385","name":"La Taha, Spain by Lot Amoros - part of deadtrees.earth","source":"datacite","abstract":"This data paper consists of an orthophotograph taken on the perimeter of the Sierra Nevada Natural Park, Spain, located in the municipality of La Taha, at an altitude of approximately 1,500 metres above sea level. The area has a diversity of tree species, such as chestnut trees (Castanea sativa), holm oaks (Quercus ilex), and Pyrenean oaks (Quercus pyrenaica), as well as shrub species, predominantly Adenocarpus decorticans. The purpose of the orthophotography is to reveal the increase in chestnut tree mortality in Sierra Nevada, which are suffering from various conditions that may be due to: rising temperatures due to climate change, the abandonment of irrigation channels, or fungal diseases such as chestnut blight (Phytophthora cinnamomi) or chestnut canker (Cryphonectria parasitica), aggravated by the recent appearance of the chestnut gall wasp (Dryocosmus kuriphilus) pest. Several of the dead trees shown in the orthophotograph have died suddenly in the last year and are close to the irrigation ditch, so water stress can be ruled out. Others, however, have been dead for decades. Technical production: The photographs were taken at the end of May 2025, when all the trees had leafed out, especially the chestnut and oak trees, in order to distinguish the dead trees from the living ones. The aerial photograph was obtained using the DJI Mavic 2 Pro unmanned aerial vehicle. The aerial route was planned using the Drone Deploy platform covering 5 hectares at a height of 35 metres. Although this height offers a resolution of 1 cm/pixel, this resolution is variable as the area has a very significant slope, resulting in a lower resolution in the lower areas of the orthophoto. The process of integrating multiple images captured to generate the orthofoto was carried out using the open source software Open Drone Map.","url":"https://doi.org/10.60493/81ks5-8x385","authors":["Amoros, Lot"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.60493/81ks5-8x385","addedAt":"2026-08-31T06:40:02.533Z","updatedAt":"2026-08-31T06:40:02.533Z"},{"id":"doi:10.5281/zenodo.15480885","name":"Garrulus Field-D Semantic Segmentation Dataset","source":"datacite","abstract":"The Garrulus Field-D dataset represents a 0.3-hectare post-harvest area located in the Arnsberg Forest, Germany. Data was acquired using an Unmanned Aerial Vehicle (UAV), and the area was reconstructed into a geo-referenced RGB orthomosaic with a spatial resolution of approximately 10 cm per pixel. Object annotations were created using the Computer Vision Annotation Tool (CVAT), covering four classes: Coarse Woody Debris (CWD) Tree Stumps (STUMP) Vegetation MISCELLANEOUS (MISC) — used for ground sampling point markers This particular dataset contains the pre-processed tensor files (for both training and testing), which were generated from the RGB orthomosaic using our custom tool, the Garrulus Dataset Library (GDL). Please see our GitHub repo for pre-processing this dataset (https://github.com/garrulus-project/sam_peft/) Please note that the original orthomosaic files (.tif) will be made available in a separate publication. This dataset is published alongside our paper that was accepted at the ICRA 2025 Workshop on Novel Approaches for Precision Agriculture and Forestry with Autonomous Robots 📘 If you use this dataset in your work, please cite our paper:Parameter-Efficient Fine-Tuning of Vision Foundation Model for Forest Floor Segmentation from UAV ImageryICRA 2025, and available on arXiv: https://arxiv.org/abs/2505.08932@misc{wasil2025peftsam, title = {{Parameter-Efficient Fine-Tuning of Vision Foundation Model for Forest Floor Segmentation from UAV Imagery}}, author = {Mohammad Wasil and Ahmad Drak and Brennan Penfold and Ludovico Scarton and Maximilian Johenneken and Alexander Asteroth and Sebastian Houben}, year = {2025}, eprint = {2505.08932}, archivePrefix = {arXiv}, primaryClass = {cs.RO}, url = {https://arxiv.org/abs/2505.08932}, note = {Accepted to the Novel Approaches for Precision Agriculture and Forestry with Autonomous Robots, IEEE ICRA Workshop 2025}}","url":"https://doi.org/10.5281/zenodo.15480885","authors":["Wasil, Mohammad","Drak, Ahmad","Penfold, Brennan","Scarton, Ludovico","Johenneken, Maximilian","Asteroth, Alexander","Houben, Sebastian"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.15480885","addedAt":"2026-08-31T06:40:02.533Z","updatedAt":"2026-08-31T06:40:02.533Z"},{"id":"doi:10.5281/zenodo.15480886","name":"Garrulus Field-D Semantic Segmentation Dataset","source":"datacite","abstract":"The Garrulus Field-D dataset represents a 0.3-hectare post-harvest area located in the Arnsberg Forest, Germany. Data was acquired using an Unmanned Aerial Vehicle (UAV), and the area was reconstructed into a geo-referenced RGB orthomosaic with a spatial resolution of approximately 10 cm per pixel. Object annotations were created using the Computer Vision Annotation Tool (CVAT), covering four classes: Coarse Woody Debris (CWD) Tree Stumps (STUMP) Vegetation MISCELLANEOUS (MISC) — used for ground sampling point markers This particular dataset contains the pre-processed tensor files (for both training and testing), which were generated from the RGB orthomosaic using our custom tool, the Garrulus Dataset Library (GDL). Please see our GitHub repo for pre-processing this dataset (https://github.com/garrulus-project/sam_peft/) Please note that the original orthomosaic files (.tif) will be made available in a separate publication. This dataset is published alongside our paper that was accepted at the ICRA 2025 Workshop on Novel Approaches for Precision Agriculture and Forestry with Autonomous Robots 📘 If you use this dataset in your work, please cite our paper:Parameter-Efficient Fine-Tuning of Vision Foundation Model for Forest Floor Segmentation from UAV ImageryICRA 2025, and available on arXiv: https://arxiv.org/abs/2505.08932@misc{wasil2025peftsam, title = {{Parameter-Efficient Fine-Tuning of Vision Foundation Model for Forest Floor Segmentation from UAV Imagery}}, author = {Mohammad Wasil and Ahmad Drak and Brennan Penfold and Ludovico Scarton and Maximilian Johenneken and Alexander Asteroth and Sebastian Houben}, year = {2025}, eprint = {2505.08932}, archivePrefix = {arXiv}, primaryClass = {cs.RO}, url = {https://arxiv.org/abs/2505.08932}, note = {Accepted to the Novel Approaches for Precision Agriculture and Forestry with Autonomous Robots, IEEE ICRA Workshop 2025}}","url":"https://doi.org/10.5281/zenodo.15480886","authors":["Wasil, Mohammad","Drak, Ahmad","Penfold, Brennan","Scarton, Ludovico","Johenneken, Maximilian","Asteroth, Alexander","Houben, Sebastian"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.15480886","addedAt":"2026-08-31T06:40:02.533Z","updatedAt":"2026-08-31T06:40:02.533Z"},{"id":"doi:10.48550/arxiv.2505.10815","name":"Enhancing Secrecy Energy Efficiency in RIS-Aided Aerial Mobile Edge Computing Networks: A Deep Reinforcement Learning Approach","source":"datacite","abstract":"This paper studies the problem of securing task offloading transmissions from ground users against ground eavesdropping threats. Our study introduces a reconfigurable intelligent surface (RIS)-aided unmanned aerial vehicle (UAV)-mobile edge computing (MEC) scheme to enhance the secure task offloading while minimizing the energy consumption of the UAV subject to task completion constraints. Leveraging a data-driven approach, we propose a comprehensive optimization strategy that jointly optimizes the aerial MEC (AMEC)'s trajectory, task offloading partitioning, UE transmission scheduling, and RIS phase shifts. Our objective centers on optimizing the secrecy energy efficiency (SEE) of UE task offloading transmissions while preserving the AMEC's energy resources and meeting the task completion time requirements. Numerical results show that the proposed solution can effectively safeguard legitimate task offloading transmissions while preserving AMEC energy.","url":"https://doi.org/10.48550/arxiv.2505.10815","authors":["Abdalla, Aly Sabri","Marojevic, Vuk"],"tags":["Cryptography and Security (cs.CR)","Distributed, Parallel, and Cluster Computing (cs.DC)","Systems and Control (eess.SY)","FOS: Computer and information sciences","FOS: Computer and information sciences","FOS: Electrical engineering, electronic engineering, information engineering","FOS: Electrical engineering, electronic engineering, information engineering"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.48550/arxiv.2505.10815","addedAt":"2026-08-31T06:40:02.533Z","updatedAt":"2026-08-31T06:40:02.533Z"},{"id":"doi:10.48550/arxiv.2505.10770","name":"Geofenced Unmanned Aerial Robotic Defender for Deer Detection and Deterrence (GUARD)","source":"datacite","abstract":"Wildlife-induced crop damage, particularly from deer, threatens agricultural productivity. Traditional deterrence methods often fall short in scalability, responsiveness, and adaptability to diverse farmland environments. This paper presents an integrated unmanned aerial vehicle (UAV) system designed for autonomous wildlife deterrence, developed as part of the Farm Robotics Challenge. Our system combines a YOLO-based real-time computer vision module for deer detection, an energy-efficient coverage path planning algorithm for efficient field monitoring, and an autonomous charging station for continuous operation of the UAV. In collaboration with a local Minnesota farmer, the system is tailored to address practical constraints such as terrain, infrastructure limitations, and animal behavior. The solution is evaluated through a combination of simulation and field testing, demonstrating robust detection accuracy, efficient coverage, and extended operational time. The results highlight the feasibility and effectiveness of drone-based wildlife deterrence in precision agriculture, offering a scalable framework for future deployment and extension.","url":"https://doi.org/10.48550/arxiv.2505.10770","authors":["Temesgen, Ebasa","Jerez, Mario","Brown, Greta","Wilson, Graham","Divakarla, Sree Ganesh Lalitaditya","Boelter, Sarah","Nelson, Oscar","McPherson, Robert","Gini, Maria"],"tags":["Robotics (cs.RO)","Artificial Intelligence (cs.AI)","Multiagent Systems (cs.MA)","FOS: Computer and information sciences","FOS: Computer and information sciences"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.48550/arxiv.2505.10770","addedAt":"2026-08-31T06:40:02.533Z","updatedAt":"2026-08-31T06:40:02.533Z"},{"id":"doi:10.48550/arxiv.2505.08382","name":"Continuous World Coverage Path Planning for Fixed-Wing UAVs using Deep Reinforcement Learning","source":"datacite","abstract":"Unmanned Aerial Vehicle (UAV) Coverage Path Planning (CPP) is critical for applications such as precision agriculture and search and rescue. While traditional methods rely on discrete grid-based representations, real-world UAV operations require power-efficient continuous motion planning. We formulate the UAV CPP problem in a continuous environment, minimizing power consumption while ensuring complete coverage. Our approach models the environment with variable-size axis-aligned rectangles and UAV motion with curvature-constrained Bézier curves. We train a reinforcement learning agent using an action-mapping-based Soft Actor-Critic (AM-SAC) algorithm employing a self-adaptive curriculum. Experiments on both procedurally generated and hand-crafted scenarios demonstrate the effectiveness of our method in learning energy-efficient coverage strategies.","url":"https://doi.org/10.48550/arxiv.2505.08382","authors":["Theile, Mirco","Rodriguez, Andres R. Zapata","Caccamo, Marco","Sangiovanni-Vincentelli, Alberto L."],"tags":["Robotics (cs.RO)","Machine Learning (cs.LG)","Systems and Control (eess.SY)","FOS: Computer and information sciences","FOS: Computer and information sciences","FOS: Electrical engineering, electronic engineering, information engineering","FOS: Electrical engineering, electronic engineering, information engineering"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.48550/arxiv.2505.08382","addedAt":"2026-08-31T06:40:02.533Z","updatedAt":"2026-08-31T06:40:02.533Z"},{"id":"doi:10.48081/bgqf2225","name":"CFD ANALYSIS OF AERODYNAMIC CHARACTERISTICS OF AN UNMANNED AERIAL VEHICLE","source":"crossref","abstract":"In this paper, a numerical study of the aerodynamic characteristics of an aircraft-type unmanned aerial vehicle using computational fluid dynamics (CFD) methods is performed. The geometric model of the UAV was developed taking into account the requirements for low-speed aircraft. The calculations were performed in the SolidWorks Flow Simulation 2025 software environment in the formulation of the external flow. During the simulation, velocity fields, static pressure distribution, and flow trajectories were obtained. Analysis of the results showed the presence of zones of local acceleration of the flow above the wing, as well as braking zones in the tail section of the vehicle. Special attention is paid to the analysis of pressure distribution, which made it possible to identify aerodynamically unfavorable sections of the structure. The results obtained show the operability of the chosen aerodynamic layout and the need for further optimization of the tail section, as well as calculations at various speeds and angles of attack. Keywords: unmanned aerial vehicle; UAV aerodynamics; numerical simulation; CFD analysis; SolidWorks Flow Simulation; external airflow.","url":"https://doi.org/10.48081/bgqf2225","authors":["R. B. Mukanov","H. Madeniet","A. Oxenenko","G. Tokin","Ye. Vitulyova"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-08-07T07:15:22Z","doi":"10.48081/bgqf2225","addedAt":"2026-08-31T06:40:02.905Z","updatedAt":"2026-08-31T06:40:02.905Z"},{"id":"doi:10.1016/b978-0-443-33763-5.00011-4","name":"Computational fluid dynamics technique for evaluating the performance of a bio-inspired unmanned aerial vehicle design","source":"crossref","abstract":"","url":"https://doi.org/10.1016/b978-0-443-33763-5.00011-4","authors":["Harun Chowdhury","Saad Mahmud Sonyy","Tasnim Ahmed"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-07-24T08:58:54Z","doi":"10.1016/b978-0-443-33763-5.00011-4","addedAt":"2026-08-31T06:40:02.905Z","updatedAt":"2026-08-31T06:40:02.905Z"},{"id":"doi:10.1109/pesim67009.2026.11438435","name":"Defect Detection Method of Power Facilities in Unmanned Aerial Vehicle Inspection Scene Based on Reinforcement Learning and Visual Language Model","source":"crossref","abstract":"","url":"https://doi.org/10.1109/pesim67009.2026.11438435","authors":["Boshi Liu","Xiaoxin Cui"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-03-23T20:00:58Z","doi":"10.1109/pesim67009.2026.11438435","addedAt":"2026-08-31T06:40:02.905Z","updatedAt":"2026-08-31T06:40:02.905Z"},{"id":"doi:10.1109/iccad69956.2026.11643130","name":"Topology Control for Unmanned Aerial Vehicle Swarms for Formation and Guidance","source":"crossref","abstract":"","url":"https://doi.org/10.1109/iccad69956.2026.11643130","authors":["Fernando E. Serrano","Saim Ahmed","Ahmad Taher Azar","Nashwa Ahmad Kamal"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-08-17T19:13:30Z","doi":"10.1109/iccad69956.2026.11643130","addedAt":"2026-08-31T06:40:02.905Z","updatedAt":"2026-08-31T06:40:02.905Z"},{"id":"doi:10.1016/b978-0-44-340433-7.00006-9","name":"Preface","source":"crossref","abstract":"","url":"https://doi.org/10.1016/b978-0-44-340433-7.00006-9","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-12-13T01:51:09Z","doi":"10.1016/b978-0-44-340433-7.00006-9","addedAt":"2026-08-31T06:40:02.905Z","updatedAt":"2026-08-31T06:40:02.905Z"},{"id":"doi:10.52058/2786-6025-2026-3(57)-1989-1999","name":"ANALYSIS OF THE IMPACT OF UNMANNED AERIAL VEHICLE  SHOOTING PARAMETERS ON TERRAIN RECOGNITION ACCURACY","source":"crossref","abstract":"","url":"https://doi.org/10.52058/2786-6025-2026-3(57)-1989-1999","authors":["Lyudmila Yudina","Olena Nechyporuk"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-04-30T08:44:30Z","doi":"10.52058/2786-6025-2026-3(57)-1989-1999","addedAt":"2026-08-31T06:40:02.905Z","updatedAt":"2026-08-31T06:40:02.905Z"},{"id":"doi:10.3390/electronics15071482","name":"A Comprehensive Evaluation of Magnetic Coupler Configurations for Unmanned Aerial Vehicle Wireless Power Transfer Systems","source":"crossref","abstract":"Unmanned aerial vehicles, which are widely used today, require human assistance to meet their energy needs. This dependency disrupts autonomous operation. At this point, wireless power transfer technology offers a promising solution for full autonomy. These vehicles can be easily charged by contactless power transfer between magnetic couplers in seemingly impossible locations. Coupler configurations are critical due to the size constraints of these vehicles. In current studies, analyses of transfer efficiency are conducted using one or two parameters. In this study, in addition to the coupler configuration, the effects of air gap, duty cycle, and magnetic core on efficiency were analyzed together. The performance of couplers with rectangular, circular, and double-D configurations was investigated through comprehensive simulations and experiments. The AC and DC efficiencies of the wireless power transfer system were analyzed by performing 46 experiments, while the operating frequency of the system was between 95 and 105 kHz, the input power was around 250 W. Simulations of the system and couplers were performed in MATLAB and Ansys. In the experiments, the highest AC efficiency was 98.9%, and the DC efficiency was 86.7%. The error margins in MATLAB and Ansys models are less than 1% and 4%, respectively.","url":"https://doi.org/10.3390/electronics15071482","authors":["Mert Yılmaz","Erdal Çetkin","Hakan Akça"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-04-02T07:57:55Z","doi":"10.3390/electronics15071482","addedAt":"2026-08-31T06:40:02.905Z","updatedAt":"2026-08-31T06:40:02.905Z"},{"id":"doi:10.1016/b978-0-443-31574-9.00010-3","name":"Land use/cover mapping at high spatial resolution using unmanned aerial vehicle data and machine learning","source":"crossref","abstract":"","url":"https://doi.org/10.1016/b978-0-443-31574-9.00010-3","authors":["Spyridon E. Detsikas","George P. Petropoulos","Christina Lekka","Ioannis Faraslis"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-06-12T09:21:59Z","doi":"10.1016/b978-0-443-31574-9.00010-3","addedAt":"2026-08-31T06:40:02.905Z","updatedAt":"2026-08-31T06:40:02.905Z"},{"id":"doi:10.1016/b978-0-44-340433-7.00003-3","name":"Copyright","source":"crossref","abstract":"","url":"https://doi.org/10.1016/b978-0-44-340433-7.00003-3","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-12-13T01:51:09Z","doi":"10.1016/b978-0-44-340433-7.00003-3","addedAt":"2026-08-31T06:40:02.905Z","updatedAt":"2026-08-31T06:40:02.905Z"},{"id":"doi:10.47297/taposatwsp2633-456919.20260702","name":"Survey of High-Speed Vehicle Tracking Technology for Unmanned Aerial Vehicles Based on Neural Networks and YOLO","source":"crossref","abstract":"","url":"https://doi.org/10.47297/taposatwsp2633-456919.20260702","authors":["Liu Kaizhuo"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-05-21T06:54:19Z","doi":"10.47297/taposatwsp2633-456919.20260702","addedAt":"2026-08-31T06:40:02.905Z","updatedAt":"2026-08-31T06:40:02.905Z"},{"id":"doi:10.1016/j.eswa.2026.131496","name":"On-policy actor-critic reinforcement learning for multiple unmanned aerial vehicle exploration","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.eswa.2026.131496","authors":["Ali Moltajaei Farid","Jafar Roshanian","Malek Mouhoub"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-02-03T07:46:52Z","doi":"10.1016/j.eswa.2026.131496","addedAt":"2026-08-31T06:40:02.905Z","updatedAt":"2026-08-31T06:40:02.905Z"},{"id":"doi:10.1007/978-981-96-9662-8_7","name":"Enhancing 6G Connectivity with Adaptive Deployment of Reconfigurable Intelligent Surfaces for Tethered and Untethered UAVs","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-981-96-9662-8_7","authors":["Mohamed Y. Selim","Shakil Ahmed","Ahmed Nazar","Ahmed E. Kamal"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-05-18T14:14:57Z","doi":"10.1007/978-981-96-9662-8_7","addedAt":"2026-08-31T06:40:02.905Z","updatedAt":"2026-08-31T06:40:02.905Z"},{"id":"doi:10.1017/aer.2026.10208","name":"Integrated and multi-objective flight performance enhancement for a turbojet-powered unmanned aerial vehicle","source":"crossref","abstract":"Abstract In this research article, integrated and multi-objective flight performance enhancement for a turbojet powered unmanned aerial vehicle (TJP-UAV) is considered. For this purpose, its autonomous flight control system (AFCS) and its (fuel mass/total mass) ratio are redesigned in order to enhance its trajectory tracking performance of the flight controller and also its general flight performance (i.e. maximum range, maximum endurance, and ceiling altitude). A TJP-UAV is manufactured in Erciyes University and Iskenderun Technical University drone laboratories and called as ERU-ISTE-TJP-UAV in this research article. Its AFCS parameters (i.e. gains of the relevant PID controllers) and its (fuel mass/total mass) ratio are stochastically revised in an integrated and multi-objective way for maximization of both of trajectory tracking performance of the flight controller and general flight performance by using a certain stochastic optimization tool. The optimized parameters are then used to create a simulation environment of autonomously flying TJP-UAV. A novel framework for application of integrated and multi-objective redesign concept in order to determine optimum values of AFCS parameters and fuel mass of a TJP-UAV is developed in this article. Another considerable contribution of this research article is implementation of the c-SPSA optimization for previously mentioned aim. These chief contributions result in much less energy consumption and satisfy green environmental demands. Additionally, 29.44% improvement in total cost index, 36.96% improvement in autonomous flight cost index and 24.78% improvement in general flight cost index are obtained for this optimized TJP-UAV compared to the default control and propulsion system design.","url":"https://doi.org/10.1017/aer.2026.10208","authors":["Sezer Coban","Tugrul Oktay"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-07-31T05:26:13Z","doi":"10.1017/aer.2026.10208","addedAt":"2026-08-31T06:40:02.905Z","updatedAt":"2026-08-31T06:40:02.905Z"},{"id":"doi:10.1117/1.jei.35.3.033025","name":"DPCANet: detail-preserving cross-scale alignment for real-time small-object detection in unmanned aerial vehicle imagery","source":"crossref","abstract":"","url":"https://doi.org/10.1117/1.jei.35.3.033025","authors":["Zekang Yu"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-06-19T16:31:48Z","doi":"10.1117/1.jei.35.3.033025","addedAt":"2026-08-31T06:40:02.905Z","updatedAt":"2026-08-31T06:40:02.905Z"},{"id":"doi:10.1049/icp.2026.2589","name":"3D path planning for unmanned aerial vehicle based on an improved particle swarm optimization","source":"crossref","abstract":"","url":"https://doi.org/10.1049/icp.2026.2589","authors":["Junjie Wang","Biwei Tang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-07-22T08:28:46Z","doi":"10.1049/icp.2026.2589","addedAt":"2026-08-31T06:40:02.905Z","updatedAt":"2026-08-31T06:40:02.905Z"},{"id":"doi:10.64697/iahr-apd2024_p319","name":"Application of Unmanned Aerial Vehicle Hyperspectral Remote Sensing for Chlorophyll-a Monitoring in Typical River","source":"crossref","abstract":"In recent years, with the rapid development of China's economy and society, water surface such as rivers and lakes have encountered certain water environmental issues. Conventional survey methods based on monitoring points have limitations in terms of timeliness and spatial distribution. Hyperspectral technology can effectively address these issues. This paper utilizes a hyperspectral sensor carried by unmanned aerial vehicles to collect hyperspectral data of typical rivers, conducts research on the extraction of chlorophyll-a information in river water surface, establishes a chlorophyll-a inversion model, and compares it with synchronous water quality sample data. The study finds that the model has high reliability and practicality, the experiment indicates a strong correlation between the R706/R676 ratio and chlorophyll-a concentration, with an R-squared value of 0.768, demonstrating the feasibility of using hyperspectral remote sensing data to monitor chlorophyll-a parameters in river water surface. This method can effectively supplement conventional survey methods based on monitoring sample points and provide technical support and reference for water quality monitoring by environmental monitoring agencies.","url":"https://doi.org/10.64697/iahr-apd2024_p319","authors":["Xiongfei Wen","Sui Zhang","Zhe Chen","Yujiao Liu","Jing Zhao"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-08-21T21:33:08Z","doi":"10.64697/iahr-apd2024_p319","addedAt":"2026-08-31T06:40:02.905Z","updatedAt":"2026-08-31T06:40:02.905Z"},{"id":"doi:10.1049/icp.2026.1449","name":"A dynamic simulation jamming method for unmanned aerial vehicle-type stealth targets","source":"crossref","abstract":"","url":"https://doi.org/10.1049/icp.2026.1449","authors":["Haiqin Zhao","Jian Gong","Guangfei Feng"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-07-09T13:42:16Z","doi":"10.1049/icp.2026.1449","addedAt":"2026-08-31T06:40:02.905Z","updatedAt":"2026-08-31T06:40:02.905Z"},{"id":"doi:10.1109/icaace69793.2026.11508825","name":"Three-Dimensional Path Planning of Unmanned Aerial Vehicle Based on an Improved Sand Cat Swarm Optimization Algorithm","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icaace69793.2026.11508825","authors":["Liangshuo Zhu","Qiuyan Wang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-05-15T02:40:33Z","doi":"10.1109/icaace69793.2026.11508825","addedAt":"2026-08-31T06:40:02.905Z","updatedAt":"2026-08-31T06:40:02.905Z"},{"id":"doi:10.2139/ssrn.6594687","name":"A Just-In-Time Unmanned Aerial Vehicle (UAV) Vaccine Supply Reduces Cold-Chain Storage in Rural Rwanda: A Prospective Interventional Study","source":"crossref","abstract":"Background: The vaccine cold-chain (VCC) is critical national infrastructure that has contributed to a 52% reduction in infant mortality in the WHO Africa region over the 50-years since the initiation of the WHO Expanded Programme of Immunisation. However, fragile public health infrastructure in sub-Saharan African settings results in widespread immunity gaps and a subsequent high burden of avoidable morbidity and mortality across the continent.&lt;br&gt;&lt;br&gt;Methods: This was a prospective, multicentre, supply logistics interventional study conducted over a six-month period in 16 rural health centres in Eastern Rwanda. The study was designed to evaluate a just-in-time model of vaccine supply using unmanned aerial vehicle (UAVs, or drones) to minimise the quantities of vaccines requiring storage at rural African vaccination clinics.&lt;br&gt;&lt;br&gt;Findings: UAV delivery was fast, frequent and responsive to the needs of clinical care provision. Once fully dependent on the just-in-time vaccine supply by UAV, vaccine storage at health centre level was an average of 99 doses (average 24 vaccine vials), compared to 5,858 doses (average 889 vaccine vials) for road-supplied control health centres. Expressed as a relative area-under-the-curve (AUC), vaccine storage requirements were 95-98% lower by use of a just-in-time UAV supply model. There was no detrimental impact on the provision of clinical services or vaccine wastage.&lt;br&gt;&lt;br&gt;Interpretation: The just-in-time UAV vaccine supply model can reduce the risks associated with vaccine storage in remote, rural African settings.","url":"https://doi.org/10.2139/ssrn.6594687","authors":["Gilbert Rukundo","Matthew Moore","Sudeshna Chatterjee","See PDF"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-07-29T13:21:37Z","doi":"10.2139/ssrn.6594687","addedAt":"2026-08-31T06:40:02.905Z","updatedAt":"2026-08-31T06:40:02.905Z"},{"id":"doi:10.65286/icic.v22i2.35652","name":"Anti-eavesdropping and interference-resistant unmanned aerial vehicle - MEC system robustness task offloading mechanism","source":"crossref","abstract":"In recent years, people's sensitivity to information has greatly increased, and they are becoming more and more concerned about their privacy. Therefore, information security during data transmission is becoming increasingly important. In response to the important situation of information security transmission in the current era, considering the mobility of users. Firstly, this article establishes a theoretical model and provides a detailed analysis of the assumed system scenarios; The edge cloud layer is composed of UAVs equipped with mobile edge computing servers. The eavesdropping illegal users are on the ground layer with the legitimate mobile users on the ground. The ground users divide the tasks that need to be unloaded and unload them by partition, so that the unloading task processing can be uninterrupted and will not be subject to eavesdropping attacks by illegal users. Meanwhile, this article proposes a distance perturbation probability function to hide the location information of ground mobile users, avoid information leakage, and further ensure the security of the task unloading process for ground mobile users. Finally, simulation can prove that the proposed scheme can achieve the goal of improving the security of data transmission process.","url":"https://doi.org/10.65286/icic.v22i2.35652","authors":["Han Zhang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-08-04T06:09:37Z","doi":"10.65286/icic.v22i2.35652","addedAt":"2026-08-31T06:40:02.905Z","updatedAt":"2026-08-31T06:40:02.905Z"},{"id":"doi:10.2174/9798898816186126010008","name":"Development and Control of Flapping Wing Unmanned Aerial Vehicle (UAV) Ornithopter","source":"crossref","abstract":"An Ornithopter flies differently from conventional drones by flapping its wings. Flapping wings are very efficient, enable astonishing agility, are much safer, and can make compliant contact with surfaces rather than shedding them as a rotor system does. This work focuses on developing a flapping-wing UAV Ornithopter model that mimics bird flight and can be adapted for reconnaissance missions. The Ornithopter is designed and constructed from a cost-effective, lightweight carbon fiber material. The Ornithopter development methodology involves selecting materials based on mission requirements, flexibility, lightweight design, precision, and affordability. The mechanical structure includes the fuselage, wing frame, gearbox design, flapping mechanism, linkages, joints, tail, and stability. The lift was designed to exceed the weight for sustained flight. Wing loading and mechanism design consider lift, drag, thrust, and weight. The choice of electric motor depends on torque requirements and flapping speed. The flight control system integrates tail angular orientation. The control design mitigates flexing problems by using hinges and bearings in the parts to meet the desired performance requirements. This flapping-wing UAV is built for remote surveillance, recreation-like contests, aerial robotics, and photography. A control system was developed and incorporated for flight control and monitoring data. Flight tests conducted show that the Ornithopter can sustain flight for excellent stability, carrying a minimum load of electronics. This study will assist the Ornithopter in maintaining stability for sustained flight of 5 minutes and achieving durability and agility.","url":"https://doi.org/10.2174/9798898816186126010008","authors":["Bernard Akindade Adaramola","Joseph Friday Kayode","Daniel Danjuma Chirpeyen"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-08-04T04:02:37Z","doi":"10.2174/9798898816186126010008","addedAt":"2026-08-31T06:40:02.905Z","updatedAt":"2026-08-31T06:40:02.905Z"},{"id":"doi:10.1016/j.procs.2026.05.236","name":"Application of Unmanned Aerial Vehicle Remote Sensing Technology in River Basin Environmental Emergency Monitoring Systems","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.procs.2026.05.236","authors":["Hongqian Wang","Yuanshuai Gong","Liang Xu"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-07-08T11:21:14Z","doi":"10.1016/j.procs.2026.05.236","addedAt":"2026-08-31T06:40:02.905Z","updatedAt":"2026-08-31T06:40:02.905Z"},{"id":"doi:10.1049/ell2.70616","name":"Three‐Dimensional Path Planning for Unmanned Aerial Vehicle Based on Multi‐Strategy Improved Dung Beetle Optimisation Algorithm","source":"crossref","abstract":"ABSTRACT A multi‐strategy improved dung beetle optimiser (MSDBO) is proposed for unmanned aerial vehicle (UAV) 3D path planning, aiming to solve the limitations of traditional algorithms (A*, Dijkstra's) in dynamic and multi‐constraint 3D spaces. The MSDBO optimises the original dung beetle optimiser (DBO) by three strategies: Fuch map initialisation for better population diversity, opposition‐based learning for faster convergence, and adaptive inertia weight for balancing global exploration and local exploitation. These improvements effectively enhance the algorithm's convergence speed, solution quality, and anti‐local optimum ability. MATLAB simulation experiments show that MSDBO outperforms other mainstream optimisation algorithms in fitness value and path length for UAV 3D path planning.","url":"https://doi.org/10.1049/ell2.70616","authors":["Hengqing Lin","Linghua Wang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-05-20T06:29:08Z","doi":"10.1049/ell2.70616","addedAt":"2026-08-31T06:40:02.905Z","updatedAt":"2026-08-31T06:40:02.905Z"},{"id":"doi:10.1109/access.2026.3714242","name":"Performance Guaranteed Adaptive Robust Fault Tolerant Trajectory Tracking Control for a Quadrotor Unmanned Aerial Vehicle","source":"crossref","abstract":"","url":"https://doi.org/10.1109/access.2026.3714242","authors":["Tolga Ulutas","Fatih Adiguzel","Onur Akbati"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-07-16T21:48:57Z","doi":"10.1109/access.2026.3714242","addedAt":"2026-08-31T06:40:02.905Z","updatedAt":"2026-08-31T06:40:02.905Z"},{"id":"doi:10.20961/arst.v24i1.116771","name":"Unmanned Aerial Vehicle Mapping for Improving Spatial Accuracy in Rural Settlement Planning","source":"crossref","abstract":"&lt;p&gt;&lt;em&gt;Accurate spatial documentation is essential for rural settlement planning, particularly in hilly areas where conventional field surveys are time‑consuming and often lack detailed topographic information. This study aims to evaluate the effectiveness of Unmanned Aerial Vehicle (UAV) mapping in improving spatial data accuracy and survey efficiency for settlement planning. The research was conducted in Puspo Hamlet, Purworejo, a rural settlement located in a complex hilly landscape with slopes of 15–35°. An exploratory case study approach based on spatial analysis was applied, integrating UAV aerial surveys, field observations, and photogrammetric processing using Structure‑from‑Motion techniques. The UAV survey covered approximately 35 hectares and produced high‑resolution orthophotos with a ground sampling distance of 3–5 cm/pixel as well as DEM and DSM datasets with horizontal accuracy of ±10 cm and vertical accuracy of ±15 cm. The results show that UAV mapping provides highly detailed spatial information while reducing survey time to about two days compared with more than one week using conventional survey methods.&lt;/em&gt;&lt;/p&gt;","url":"https://doi.org/10.20961/arst.v24i1.116771","authors":["Endah Tisnawati","Luhur Sapto Pamungkas","Endang Setyowati","Adwitya Baskara"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-06-05T09:09:33Z","doi":"10.20961/arst.v24i1.116771","addedAt":"2026-08-31T06:40:02.905Z","updatedAt":"2026-08-31T06:40:02.905Z"},{"id":"doi:10.1142/s2301385026500342","name":"Cooperative Game–Based Optimal Shared Control of Unmanned Aerial Vehicle","source":"crossref","abstract":"Collaboration between human operators and unmanned aerial vehicles (UAV) is an emerging research area in UAV control, focused on enhancing UAV performance and alleviating the workload of human operators. This paper proposes a dynamic event-triggered cooperative control method for the optimal shared control of UAV. The proposed method formulates a cooperative nonzero sum game between human operators and UAV, and the optimal shared control of UAV is achieved by solving the Nash equilibrium of the game. The optimal shared control of UAV is approximated by the actor-critic algorithm, which learns the optimal control policy from the historical operation data of UAV. Then a continuous and efficient shared mechanism is established to allocate the relationship between optimal and human control input. To reduce the online computation burden of the optimal shared control in the UAV system, a dynamic event-triggered mechanism is proposed to update the shared control input only when the event-triggered condition is satisfied. The performance of the proposed method is evaluated by numerical simulations. The results show that the proposed method could achieve optimal shared control of UAV with human operators efficiently and continuously compared with conventional shared control methods.","url":"https://doi.org/10.1142/s2301385026500342","authors":["Shuangsi Xue","Junkai Tan","Zihang Guo","Qingshu Guan","Kai Qu","Hui Cao"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-04-05T01:35:58Z","doi":"10.1142/s2301385026500342","addedAt":"2026-08-31T06:40:02.905Z","updatedAt":"2026-08-31T06:40:02.905Z"},{"id":"doi:10.1016/b978-0-44-340433-7.00004-5","name":"Contents","source":"crossref","abstract":"","url":"https://doi.org/10.1016/b978-0-44-340433-7.00004-5","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-12-13T01:51:09Z","doi":"10.1016/b978-0-44-340433-7.00004-5","addedAt":"2026-08-31T06:40:02.906Z","updatedAt":"2026-08-31T06:40:02.906Z"},{"id":"doi:10.1016/b978-0-44-340433-7.00017-3","name":"Index","source":"crossref","abstract":"","url":"https://doi.org/10.1016/b978-0-44-340433-7.00017-3","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-12-13T01:51:09Z","doi":"10.1016/b978-0-44-340433-7.00017-3","addedAt":"2026-08-31T06:40:02.906Z","updatedAt":"2026-08-31T06:40:02.906Z"},{"id":"doi:10.2139/ssrn.6508219","name":"Remote sensing chlorophyll-a (chl-a) as a proxy for Cyanobacteria in a Small Reservoir using Unmanned Aerial Vehicle Systems","source":"crossref","abstract":"Agricultural intensification introduces nitrogen and phosphorus into nearby water bodies, promoting cyanobacterial growth and degrading water quality. Small reservoirs used for irrigation are particularly vulnerable yet monitoring them using freely available satellite data is constrained by coarse spatial resolution. This study employed unmanned aerial vehicle (UAV) multispectral imagery combined with machine-learning algorithms to estimate chlorophyll-a (chl-a) as a proxy for cyanobacteria in a small reservoir. In situ measurements of chl-a, total nitrogen (TN), total phosphorus (TP), and dissolved oxygen (DO) were collected in April, June, and July 2024 for model training and validation. Random Forest, Support Vector Machine, K-nearest neighbors, Artificial Neural Networks (ANN), and Extreme Gradient Boost were evaluated. NIR and red-edge bands were particularly sensitive to chl-a dynamics and showed strong correlations with TN, TP, and DO, while green, red, and red-edge bands were selected as optimal model inputs. ANN achieved the highest accuracy, with R2 values of 0.95, 0.99, and 0.73 and RMSEs of 3.88, 0.59, and 3.04 µg/L for April, June, and July, respectively. Spatial analysis revealed nutrient hotspots near the inlet and reservoir margins. These results demonstrate the potential of UAV-based remote sensing for high-resolution, cost-effective monitoring of water quality in small freshwater systems.","url":"https://doi.org/10.2139/ssrn.6508219","authors":["Nobubelo Ngwenya","Tsitsi Bangira","Mbulisi Sibanda","Shaeden Gokool","Tafadzwanashe Mabhaudhi"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-04-02T03:49:33Z","doi":"10.2139/ssrn.6508219","addedAt":"2026-08-31T06:40:02.906Z","updatedAt":"2026-08-31T06:40:02.906Z"},{"id":"doi:10.15276/hait.09.2026.18","name":"Improving the information compression algorithm in the unmanned aerial vehicle communication system","source":"crossref","abstract":"","url":"https://doi.org/10.15276/hait.09.2026.18","authors":["Valerii І.","Valerii І.","Dmytro S.","Iryna М."],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-07-05T15:47:51Z","doi":"10.15276/hait.09.2026.18","addedAt":"2026-08-31T06:40:02.906Z","updatedAt":"2026-08-31T06:40:02.906Z"},{"id":"doi:10.23919/eucap68105.2026.11612537","name":"Analysis of the 5 Ghz Band Air to Ground Propagation Channel Using an Unmanned Aerial Vehicle-Based Virtual Array System","source":"crossref","abstract":"","url":"https://doi.org/10.23919/eucap68105.2026.11612537","authors":["Kentaro Saito","Tatsuki Sakata"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-08-11T19:18:49Z","doi":"10.23919/eucap68105.2026.11612537","addedAt":"2026-08-31T06:40:02.906Z","updatedAt":"2026-08-31T06:40:02.906Z"},{"id":"doi:10.1063/12.0043553","name":"Analysis of mechanical structure and material selection for unmanned aerial vehicle transportation","source":"crossref","abstract":"","url":"https://doi.org/10.1063/12.0043553","authors":["Shiming Zhang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-04-06T17:00:34Z","doi":"10.1063/12.0043553","addedAt":"2026-08-31T06:40:02.906Z","updatedAt":"2026-08-31T06:40:02.906Z"},{"id":"doi:10.54254/2753-8818/2026.35271","name":"Analysis on Distance Optimization Method of Magnetic Coupling Resonant Wireless Charging Coil for Unmanned Aerial Vehicle","source":"crossref","abstract":"The development of UAVs has led to a surge in demand for wireless charging of drones. Among these, magnetically coupled resonant wireless charging serves as an effective solution to this problem, with transmission distance being one of the critical factors influencing its wireless charging efficiency. To optimize the coil distance for magnetically coupled resonant wireless charging in UAVs, this paper begins with the basic principle of this technology. It analyzes the working mechanism and transmission characteristics of the system in detail. The fundamental principle is illustrated by both theoretical analysis and simulation experiments. Also, this study explores how coil distance affects charging efficiency. On this basis, an optimal design for coil distance is carried out. Two improved schemes are proposed, including parameter optimization of the original circuit and optimization using an L-type impedance matching network. A comparative analysis between the optimized schemes and the original design is conducted to verify the optimization effect. The research results can provide theoretical reference and technical support for the practical engineering application of UAV wireless charging technology.","url":"https://doi.org/10.54254/2753-8818/2026.35271","authors":["Cai Wu"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-07-13T23:14:03Z","doi":"10.54254/2753-8818/2026.35271","addedAt":"2026-08-31T06:40:02.906Z","updatedAt":"2026-08-31T06:40:02.906Z"},{"id":"doi:10.1109/icaace69793.2026.11509238","name":"A Hybrid EEG-EMG System for Brain-Computer Interface-Based Unmanned Aerial Vehicle Control","source":"crossref","abstract":"Reliable and intuitive control of unmanned aerial vehicles (UAVs) remains a major challenge for brain-computer interface (BCI) systems, particularly in dynamic real-world environments. Steady-state visually evoked potential (SSVEP) based BCI has high precision, however, it may cause visual tiredness; while Electromyography (EMG) provides additional information of motor related signals which can improve the adaptability of the performance for BCI especially on the dynamic tasks. Therefore, this hybrid BCI protocol provides a reliable framework for UAV control by integrating the two physiological Electroencephalography (EEG) and EMG signals. The evaluation experiment indicated that hybrid EEG-EMG control obtained higher accuracy than unimodal methods, and the errors caused by the incorrect perception can be decreased.","url":"https://doi.org/10.1109/icaace69793.2026.11509238","authors":["Ting Wang","Lei Cao","Yan Huang","Yilin Dong"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-05-15T02:40:33Z","doi":"10.1109/icaace69793.2026.11509238","addedAt":"2026-08-31T06:40:02.906Z","updatedAt":"2026-08-31T06:40:02.906Z"},{"id":"doi:10.3390/automation7020051","name":"Innovative Real-Time Palm Tree Detection, Geo-Localization and Counting from Unmanned Aerial Vehicle (UAV) Aerial Images Using Deep Learning","source":"crossref","abstract":"Accurate real-time detection, geolocation, and counting of palm trees are essential for plantation management, yield estimation, and resource allocation in precision agriculture. Traditional approaches such as manual surveys or offline image processing are labor-intensive and unsuitable for large-scale applications. This study introduces a fully onboard real-time framework that integrates Unmanned Aerial Vehivle (UAV) imagery, the YOLOv12 deep learning model, and a camera projection technique to detect, geolocate, and count palm trees directly during flight. The lightweight YOLOv12n variant, deployed on an NVIDIA Jetson Nano edge device, achieved a detection precision of 92.4%, an average geolocation error of 2.14 m, and a counting error of only 0.2% across 915 trees. Unlike many existing methods that rely on offline processing or offboard computation, the proposed system performs all computations in real time, enabling immediate decision-making for tasks such as plantation density analysis, replanting planning, and yield forecasting. Experimental results demonstrate that the proposed approach provides a scalable, cost-effective, and autonomous solution for modern precision agriculture.","url":"https://doi.org/10.3390/automation7020051","authors":["Ali Mazinani","Mostafa Norouzi","Amin Talaeizadeh","Aria Alasty","Mahmoud Saadat Foumani","Amin Kolahdooz"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-03-16T13:32:07Z","doi":"10.3390/automation7020051","addedAt":"2026-08-31T06:40:02.906Z","updatedAt":"2026-08-31T06:40:02.906Z"},{"id":"doi:10.1063/12.0043519","name":"Research on the development and application of underwater unmanned aerial vehicle technology","source":"crossref","abstract":"","url":"https://doi.org/10.1063/12.0043519","authors":["Zhenxing Kang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-04-06T17:00:34Z","doi":"10.1063/12.0043519","addedAt":"2026-08-31T06:40:02.906Z","updatedAt":"2026-08-31T06:40:02.906Z"},{"id":"doi:10.31673/2412-9070.2026.318111","name":"USE OF A MULTILEVEL ACCESS MODEL FOR DATA PROCESSING IN UNMANNED AERIAL VEHICLE CONTROL","source":"crossref","abstract":"","url":"https://doi.org/10.31673/2412-9070.2026.318111","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-06-29T08:29:23Z","doi":"10.31673/2412-9070.2026.318111","addedAt":"2026-08-31T06:40:02.906Z","updatedAt":"2026-08-31T06:40:02.906Z"},{"id":"doi:10.48130/wpt-0025-0037","name":"Design and analysis of CPT system unmanned aerial vehicle applications","source":"crossref","abstract":"","url":"https://doi.org/10.48130/wpt-0025-0037","authors":["Qianyi Chen","Jing Xiao","Shaonan Chen","Xiaorui Wu","Qinyun Jiang","Xuancheng Lu"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-04-23T00:39:42Z","doi":"10.48130/wpt-0025-0037","addedAt":"2026-08-31T06:40:02.906Z","updatedAt":"2026-08-31T06:40:02.906Z"},{"id":"doi:10.5890/jand.2026.09.015","name":"Design and Implementation of Motion Simulation for Precision Drop of Unmanned Aerial Vehicle Projectiles","source":"crossref","abstract":"","url":"https://doi.org/10.5890/jand.2026.09.015","authors":["Caifeng Zou","Chuan Zhang","Xinlong Zhang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-03-23T16:54:33Z","doi":"10.5890/jand.2026.09.015","addedAt":"2026-08-31T06:40:02.906Z","updatedAt":"2026-08-31T06:40:02.906Z"},{"id":"doi:10.1002/itl2.70317","name":"Lightweight Smart Helmet Detection in Smart Construction Sites Supported by Unmanned Aerial Vehicle Networks","source":"crossref","abstract":"ABSTRACT Conventional deep learning–based helmet detection on construction sites is constrained by fixed camera perspectives, high computational demands, and challenges in multi‐scale detection. Moreover, transmitting video data to the server seriously hinders real‐time and efficient monitoring. To address these issues, this paper proposes an integrated smart detection system that combines unmanned aerial vehicles (UAVs) and 6G‐enabled Internet of Things (IoT) technology with an enhanced real‐time detection Transformer (RT‐DETR) framework. By embedding graph convolutional operations in the RT‐DETR model, it effectively captures both local and global dependencies, thereby improving feature representation for multi‐scale helmet detection. UAVs provide adaptive, wide‐area visual coverage, while 6G IoT supports ultra‐reliable, low‐latency communication for real‐time data transmission and system coordination. Experiments demonstrate that our approach achieves higher accuracy and robustness in complex environments while maintaining computational efficiency suitable for real‐time deployment in next‐generation smart construction systems.","url":"https://doi.org/10.1002/itl2.70317","authors":["Long Li","Jian Gao","Chunyan Luo"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-06-15T08:38:04Z","doi":"10.1002/itl2.70317","addedAt":"2026-08-31T06:40:02.906Z","updatedAt":"2026-08-31T06:40:02.906Z"},{"id":"doi:10.1007/s44163-026-01566-9","name":"Multichannel intelligent access to unmanned aerial vehicle assisted power information collection network based on power allocation optimization algorithm","source":"crossref","abstract":"","url":"https://doi.org/10.1007/s44163-026-01566-9","authors":["Zhenjun Dai"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-06-16T13:24:54Z","doi":"10.1007/s44163-026-01566-9","addedAt":"2026-08-31T06:40:02.906Z","updatedAt":"2026-08-31T06:40:02.906Z"},{"id":"doi:10.1007/s11227-025-08199-2","name":"Improved black-winged kite algorithm and its application in unmanned aerial vehicle path planning","source":"crossref","abstract":"","url":"https://doi.org/10.1007/s11227-025-08199-2","authors":["Shuhao Jiang","Tingting Yu","Shengliang Cui"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-01-26T16:17:44Z","doi":"10.1007/s11227-025-08199-2","addedAt":"2026-08-31T06:40:02.906Z","updatedAt":"2026-08-31T06:40:02.906Z"},{"id":"doi:10.1088/2631-8695/ae408c","name":"Lightweight target detection based on improved YOLOv5n for unmanned aerial vehicle infrared imagery","source":"crossref","abstract":"Abstract Target detection based on unmanned aerial vehicle (UAV) in complex scenes has increasingly become a research hotspot. This paper proposes a new lightweight infrared target detection algorithm based on YOLOv5n for UAV imagery. The proposed algorithm increases the detection accuracy by improving the network structure and loss function. First, a lightweight FasterNet block is introduced into the backbone network to amplify and refine the feature information, and meanwhile the network depth is increased through block stacking to enhance the feature extraction capability. Second, a new module called efficient convolutional block (ECB) is designed and then integrated into the neck network to strengthen the feature fusion capability, which is beneficial for complex environments including dense and small targets. Finally, the complete intersection over union (CIoU) in the original loss function is replaced by the minimum point distance intersection over union (MPDIoU) to effectively estimate the positional error of the target bounding box, so as to improve the localization ability. Experimental results demonstrate that the proposed network contains only 3.1M parameters yet achieves significant performance gains over the baseline across two public benchmarks: on the DroneVehicle dataset, it improves mAP@0.5 by 4.0% and mAP@0.5:0.95 by 3.6%; similarly, on the HIT-UAV dataset, it achieves 5.0% and 1.9% improvements in mAP@0.5 and mAP@0.5:0.95 respectively. Furthermore, our method outperforms several state-of-the-art lightweight networks in consideration of detection performance and resource requirements, demonstrating the potential of the proposed algorithm for UAV visual perception tasks in infrared scenes, such as disaster rescue, traffic monitoring and wildfire detection.","url":"https://doi.org/10.1088/2631-8695/ae408c","authors":["Wenhui Xue","Xuanrui Zhang","Jun Yan","Dan Chen","Yong Wang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-02-02T22:54:58Z","doi":"10.1088/2631-8695/ae408c","addedAt":"2026-08-31T06:40:02.906Z","updatedAt":"2026-08-31T06:40:02.906Z"},{"id":"doi:10.2139/ssrn.7291542","name":"A Survey of Unmanned Aerial Vehicle Logistics Distribution Path Planning Based on Reinforcement Learning","source":"crossref","abstract":"UAV path planning is essential for efficient logistics. However, existing reviews overlook integrated task constraints and engineering deployment. Addressing this, we introduce a comprehensive \"task, constraint, algorithm, simulation, application\" framework, systematically analyzing conventional and RL methods alongside validation requirements. By clarifying methodological boundaries and future directions like safety compliance, this work bridges theory and practice. Ultimately, it provides a structured framework and practical guidance for algorithm selection, simulation design, and reliable real-world UAV logistics deployment, enabling researchers and engineers to navigate complex operational challenges effectively while advancing the field toward scalable, safe autonomous delivery systems.","url":"https://doi.org/10.2139/ssrn.7291542","authors":["Xiaoqiang Yang","Jian Xiong","Jinheng Han","Jing Li","Zhenyu Lu","Yi Huang","Yan Wang","Lie Yang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-08-15T23:07:38Z","doi":"10.2139/ssrn.7291542","addedAt":"2026-08-31T06:40:02.906Z","updatedAt":"2026-08-31T06:40:02.906Z"},{"id":"doi:10.1016/j.jfranklin.2026.108693","name":"Precise docking and safety prediction for unmanned aerial vehicle autonomous aerial refueling: An adaptive control and deep learning approach","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.jfranklin.2026.108693","authors":["Bin Hang","Pengjun Guo"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-05-01T14:55:54Z","doi":"10.1016/j.jfranklin.2026.108693","addedAt":"2026-08-31T06:40:02.906Z","updatedAt":"2026-08-31T06:40:02.906Z"},{"id":"doi:10.1016/b978-0-44-340433-7.00002-1","name":"Front Matter","source":"crossref","abstract":"","url":"https://doi.org/10.1016/b978-0-44-340433-7.00002-1","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-12-13T01:51:09Z","doi":"10.1016/b978-0-44-340433-7.00002-1","addedAt":"2026-08-31T06:40:02.906Z","updatedAt":"2026-08-31T06:40:02.906Z"},{"id":"pmid:41755222","name":"Young White Pine Detection Using UAV Imagery and Deep Learning Object Detection Models.","source":"pubmed","abstract":"This study demonstrates the power of combining unmanned aerial vehicle (UAV) imagery and deep learning (DL) for monitoring forest regeneration, specifically focusing on young white pine ( Pinus strobus ). Using high-resolution three-band RGB and five-band multispectral orthomosaics derived from UAV flights, 20 DL object-detection models were evaluated within ArcGIS Pro 3.4 software (Esri Inc., Redlands, CA, USA). The models were tested across study sites in St. Lawrence County, NY, to assess performance on three distinct size classes of white pine, each stratified into low, medium, and high density areas. The Faster R-CNN (F-RCNN) model, particularly when trained with image rotation and no augmentation, significantly outperformed others, achieving an average precision of 0.88 across both imagery types. Subsequent confusion matrix analysis yielded 91% and 90% overall accuracy in medium and high-density white pine blocks, respectively. These findings validate the use of UAV-DL systems as an accurate and efficient tool for operational white pine regeneration assessment, reducing the need for labor-intensive fieldwork.","url":"https://pubmed.ncbi.nlm.nih.gov/41755222/","authors":["Poudel A","Bevilacqua E"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2026 Feb 16","doi":"10.3390/s26041284","addedAt":"2026-08-31T06:40:02.907Z","updatedAt":"2026-08-31T06:40:02.907Z"},{"id":"pmid:41755091","name":"Constrained Soft Actor-Critic for Joint Computation Offloading and Resource Allocation in UAV-Assisted Edge Computing.","source":"pubmed","abstract":"Unmanned Aerial Vehicle (UAV)-assisted edge computing supports latency-sensitive applications by offloading computational tasks to ground-based servers. However, determining optimal resource allocation under strict latency constraints and stochastic channel conditions remains challenging. This paper addresses the joint computation partitioning and power allocation problem for UAV-assisted edge computing systems. We formulate the problem as a Constrained Markov Decision Process (CMDP) that explicitly models latency constraints, rather than relying on implicit reward shaping. To solve this CMDP, we propose Constrained Soft Actor-Critic (C-SAC), a deep reinforcement learning algorithm that combines maximum-entropy policy optimization with Lagrangian dual methods. C-SAC employs a dedicated constraint critic network to estimate long-term constraint violations and an adaptive Lagrange multiplier that automatically balances energy efficiency against latency satisfaction without manual tuning. Extensive experiments demonstrate that C-SAC achieves an 18.9% constraint violation rate. This represents a 60.6-percentage-point improvement compared to unconstrained Soft Actor-Critic, with 79.5%, and a 22.4-percentage-point improvement over deterministic TD3-Lagrangian, achieving 41.3%. The learned policies exhibit strong channel-adaptive behavior with a correlation coefficient of -0.894 between the local computation ratio and channel quality, despite the absence of explicit channel modeling in the reward function. Ablation studies confirm that both adaptive mechanisms are essential, while sensitivity analyses show that C-SAC maintains robust performance with violation rates varying by less than 2 percentage points even as channel variability triples. These results establish constrained reinforcement learning as an effective approach for reliable UAV edge computing under stringent quality-of-service requirements.","url":"https://pubmed.ncbi.nlm.nih.gov/41755091/","authors":["Alvi NM","Alvi WM","Zhou X","Li J","Wei Y"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2026 Feb 10","doi":"10.3390/s26041149","addedAt":"2026-08-31T06:40:02.907Z","updatedAt":"2026-08-31T06:40:02.907Z"},{"id":"pmid:41754232","name":"TreeSeg-Net: An End-to-End Instance Segmentation Network for Leaf-Off Forest Point Clouds Using Global Context and Spatial Proximity.","source":"pubmed","abstract":"Forest ecosystems play a pivotal role in maintaining the balance of the global carbon cycle and conserving biodiversity. High-density point clouds derived from unmanned aerial vehicle (UAV) structure from motion (SfM) and multi-view stereo (MVS) technologies offer a cost-effective solution for data acquisition. These technologies have become efficient tools for facilitating precision forest resource management and extracting individual tree structural parameters. However, in complex forest scenarios during the leaf-off season, canopies exhibit unstructured branch network morphologies due to the absence of leaf occlusion, and adjacent crowns are heavily interlaced. Consequently, existing segmentation methods struggle to overcome challenges associated with fuzzy boundaries and instance adhesion. To address these challenges, this study proposes TreeSeg-Net, an end-to-end instance segmentation network designed to precisely separate individual trees directly from raw point clouds. The network incorporates a global context attention module (GCAM) to capture long-range feature dependencies, thereby compensating for the limitations of sparse convolution in perceiving global information. Simultaneously, a spatial proximity weighting module (SPWM) is designed. By introducing geometric center constraints and a distance penalty mechanism, this module effectively mitigates under-segmentation issues caused by the feature similarity of adjacent branches in high-canopy-density environments. Experimental results demonstrate that TreeSeg-Net achieves an average precision (AP) of 97.2% in instance segmentation tasks and a mean intersection over union (mIoU) of 99.7% in semantic segmentation tasks. Compared to mainstream networks, the proposed method exhibits superior segmentation accuracy, providing an efficient and automated technical solution for precise resource inventory in complex forest environments.","url":"https://pubmed.ncbi.nlm.nih.gov/41754232/","authors":["Xu X","Zhang R","Xiao S","Li J","Zhang X","Cao L","Yu H","Ma Y","Zhang J","Zhao X"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2026 Feb 7","doi":"10.3390/plants15040525","addedAt":"2026-08-31T06:40:02.907Z","updatedAt":"2026-08-31T06:40:02.907Z"},{"id":"pmid:41752359","name":"Microextraction Technologies as Exposomic Sensors for On-Site Environmental Air Monitoring of Volatile Organic Compounds: A Review of Commercially Available Technologies.","source":"pubmed","abstract":"Microextraction Technologies (METs) have emerged as pivotal exposomic sensors for the on-site monitoring of Volatile Organic Compounds (VOCs) in ambient air. By integrating sampling and sample preparation into a single step, METs provide solvent-free, miniaturized, and field-deployable solutions that align with the principles of green analytical chemistry. This review critically examines fourteen commercially available METs, selected for their demonstrated analytical performance, commercial accessibility, and validation in real-world environments. These devices represent the current state of practice in exposomics, enabling both short-term hotspot detection and long-term exposure assessment. Particular attention is given to their compatibility with transportable and portable detection platforms, including vehicle-mounted and hand-held gas chromatography/mass spectrometry systems, where METs function as front-end concentrators that enhance sensitivity and spatial resolution. This review further discusses emerging applications in wearable formats and unmanned aerial vehicles, underscoring the role of METs in bridging laboratory-grade precision with field-based exposome research. By situating METs within the broader exposomic workflow of sampling, detection, and interpretation, this work identifies current technological gaps and outlines priorities for advancing robust, scalable, and environmentally sustainable exposure assessment strategies.","url":"https://pubmed.ncbi.nlm.nih.gov/41752359/","authors":["Dugheri S","Mucci N","Rapi I","Cappelli G","Guerriero E","Cioni F","Cipriano D","Stanimirova I","Traversini V","Baldassarre A","Gori R"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2026 Feb 7","doi":"10.3390/molecules31040580","addedAt":"2026-08-31T06:40:02.907Z","updatedAt":"2026-08-31T06:40:02.907Z"},{"id":"pmid:41751669","name":"GD-DAMNet: Real-Time UAV-Based Overhead Power-Line Presence Recognition Using a Lightweight Knowledge Distillation with Mamba-GhostNet v2 and Dual-Attention.","source":"pubmed","abstract":"Power-line presence recognition technology for unmanned aerial vehicles (UAVs) is one of the key research directions in the field of UAV remote sensing. With the rapid development of UAV technology, the application of UAVs in various fields has become increasingly widespread. However, when flying in urban and rural areas, UAVs often face the danger of obstacles such as power lines, posing challenges to flight safety and stability. To address this issue, this study proposes a novel method for presence recognition in UAVs for power lines using an improved GhostNet v2 knowledge distillation dual-attention mechanism convolutional neural network. The construction of a real-time UAV power-line presence recognition system involves three aspects: dataset acquisition, a novel network model, and real-time presence recognition. First, by cleaning, enhancing, and segmenting the power-line data collected by UAVs, a UAV power-line presence recognition image dataset is obtained. Second, through comparative experiments with multi-attention modules, the dual-attention mechanism is selected to construct the CNN, and the UAV real-time power-line presence recognition training is conducted using the SGD optimiser and Hard-Swish activation function. Finally, knowledge distillation is employed to transfer the knowledge from the dual-attention mechanism-based CNN to the nonlinear function and Mamba-enhanced GhostNet v2 network, thereby reducing the model's parameter count and achieving real-time recognition performance suitable for mobile device deployment. Experiments demonstrate that the UAV-based real-time power-line presence recognition method proposed in this paper achieves real-time recognition accuracy rates of over 91.4% across all regions, providing a technical foundation for advancing the development and progress of UAV-based real-time power-line presence recognition.","url":"https://pubmed.ncbi.nlm.nih.gov/41751669/","authors":["Sun S","Xiao Y","Li G","Wang Y","Tan Y","Xie J","Liu Y"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2026 Jan 31","doi":"10.3390/e28020166","addedAt":"2026-08-31T06:40:02.907Z","updatedAt":"2026-08-31T06:40:02.907Z"},{"id":"pmid:41748818","name":"Fluctuations of end-to-end delays in low-latency WebRTC-based UAV-borne internet of things operating in an urban environment.","source":"pubmed","abstract":"Smart cities, first proposed in the early 1990s, continue to face new opportunities, such as the prevalence of UAVs, and new challenges, such as the need to provide hard real-time communications with UAVs with delays of sub-10-milliseconds and little jitter or even no jitter. Although existing highly reliable, low-latency wireless networks are capable of meeting these challenges, there is a general agreement that classical transport protocols cannot effectively meet such stringent requirements. This paper investigates UAV-borne WebRTC-based IoT for its ability to provide low jitter in an outdoor, highly reliable network environment. The results of field experiments conducted under various network conditions show that WebRTC was able to ensure little fluctuation of end-to-end delays. Moreover, in the case of error-free transmissions, fluctuations were so small that jitter, expressed in milliseconds, was close to zero. The significant advantage of the WebRTC Data Channel over the classic web logical channel, i.e. WebSocket, in terms of jitter was also demonstrated.","url":"https://pubmed.ncbi.nlm.nih.gov/41748818/","authors":["Chodorek A","Chodorek RR","Sitek P"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2026 Feb 26","doi":"10.1038/s41598-026-41558-4","addedAt":"2026-08-31T06:40:02.907Z","updatedAt":"2026-08-31T06:40:02.907Z"},{"id":"pmid:41748472","name":"Spray drift evaluation from a four-axis unmanned aerial spraying system: effects of spray parameters under different wind speeds and comparison with a boom sprayer.","source":"pubmed","abstract":"Unmanned aerial spraying systems (UASSs) are increasingly used in crop protection. There are, however, considerable concerns regarding pesticide drift during their field application, which poses potential environmental risks. Reducing drift while maintaining efficiency is therefore critical. In this study, an octocopter UASS with centrifugal nozzles was tested under varying spray parameters using a modified ISO 22866 method. The effects of droplet size, flight speed and flight height on target deposition and downwind drift were evaluated under two crosswind conditions, and UASS performance was compared with that of a conventional boom sprayer.","url":"https://pubmed.ncbi.nlm.nih.gov/41748472/","authors":["Li Y","He X","Zhu Z","Quan C","Fang Z","Huang Z","Liu Z","Jiang S","Wongsuk S","He M","Wang C"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2026 Jun","doi":"10.1002/ps.70691","addedAt":"2026-08-31T06:40:02.907Z","updatedAt":"2026-08-31T06:40:02.907Z"},{"id":"pmid:41746996","name":"Polarization-aware UAV deployment for reliable MIMO communication in forested environments.","source":"pubmed","abstract":"Unmanned Aerial Vehicles (UAVs) equipped with Multiple-Input Multiple-Output (MIMO) communication systems are increasingly deployed to restore or extend connectivity in forested and remote regions where terrestrial infrastructure is unavailable. However, radio propagation through vegetation is strongly affected by polarization-dependent scattering, attenuation, and depolarization, which can severely degrade link reliability. This study investigates polarization-aware UAV deployment as a means to enhance air-to-ground communication performance under dense canopy conditions. A vegetation-aware propagation model is developed using the Debye relaxation framework combined with Kramers-Kronig relations to capture the dielectric response of moist foliage. Cross-Polarization Discrimination (XPD) is identified as a dominant factor influencing signal quality, exhibiting non-monotonic variations that complicate UAV positioning. To address this, the Crow Search Algorithm (CSA) is employed to determine optimal UAV locations that minimize XPD between orthogonal polarization channels. Simulation results demonstrate that polarization-aware optimization significantly improves link robustness compared to traditional path-loss-based strategies, particularly at higher frequencies. The findings highlight the importance of integrating polarization awareness into UAV communication planning for critical missions such as search-and-rescue and post-disaster recovery in vegetated environments.","url":"https://pubmed.ncbi.nlm.nih.gov/41746996/","authors":["Shalaby M"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.1371/journal.pone.0343057","addedAt":"2026-08-31T06:40:02.907Z","updatedAt":"2026-08-31T06:40:02.907Z"},{"id":"pmid:41746987","name":"Joint optimization of system utility in UAV-enabled edge computing.","source":"pubmed","abstract":"This paper addresses the joint optimization of system utility in Unmanned Aerial Vehicle (UAV)-enabled Mobile Edge Computing (MEC) networks. Unlike traditional approaches that optimize individual components, such as users, UAVs, or base stations, we propose a novel framework aimed at maximizing the overall system utility, which is defined as the difference between the total revenue of service providers (UAVs and base stations) and the total cost incurred by users. The proposed model incorporates realistic constraints, including limited computational resources and energy consumption, and formulates the problem as a Mixed-Integer Nonlinear Programming (MINLP) model. To solve this complex optimization problem, we develop an efficient algorithm that integrates the Block Successive Upper-Bound Minimization (BSUM) framework with heuristic methods, enabling the decomposition of the original problem into tractable subproblems that are solved iteratively. Simulation results demonstrate that the proposed approach significantly outperforms traditional heuristic algorithms in terms of system utility, while also exhibiting robust convergence and reliability across various network configurations. The results highlight the effectiveness of joint optimization in improving both the economic and operational efficiency of UAV-assisted MEC systems, providing a solid foundation for future research in network utility management.","url":"https://pubmed.ncbi.nlm.nih.gov/41746987/","authors":["Zuo H","Zhang E","Tang Y","Yin M","Dong W"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.1371/journal.pone.0342583","addedAt":"2026-08-31T06:40:02.907Z","updatedAt":"2026-08-31T06:40:02.907Z"},{"id":"pmid:41746320","name":"On-filter derivatisation and alkaline trap sampling for UAV-based gas-phase halogen speciation in volcanic plumes.","source":"pubmed","abstract":"Volcanic halogen emissions play a critical role in atmospheric chemistry and serve as valuable indicators of volcanic activity. However, direct in situ quantification and speciation of reactive halogen species (RHS) remain analytically challenging, particularly under the constraints of UAV-based sampling. In this study, we present a suite of miniaturised and field-deployable methods for halogen speciation in volcanic plumes, optimised for unmanned aerial vehicle (UAV) platforms. Two types of coated syringe filters, based on cis-stilbene and 1,3,5-trimethoxybenzene (TMB), enable in situ derivatisation and selective detection of molecular halogens and interhalogens (e.g. Cl 2 , BrCl, Br 2 , I 2 ). An alkaline trap system (\"Bubbler\") was also developed for total halogen and sulphur quantification. Method performance was validated using a custom-designed chlorine permeation source in controlled laboratory and dilution chamber experiments. Detection limits were sub-ng for GC-HRMS (gas chromatography-high-resolution mass spectrometry)-based speciation and sub-&#xb5;g for ion chromatography of total halogens. These results demonstrate the feasibility of quantitative, UAV-based halogen speciation in volcanic plumes, offering new possibilities to enhance our understanding in volcanic gas chemistry and atmospheric trace gas analysis.","url":"https://pubmed.ncbi.nlm.nih.gov/41746320/","authors":["Geil B","Bobrowski N","Hoffmann T"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2026 Aug","doi":"10.1007/s00216-026-06403-7","addedAt":"2026-08-31T06:40:02.907Z","updatedAt":"2026-08-31T06:40:02.907Z"},{"id":"pmid:41744531","name":"Spherical Bezier Curve-Based 3D UAV Smooth Path Planning Utilizing an Efficient Improved Exponential-Trigonometric Optimization.","source":"pubmed","abstract":"Path planning, as a key technology in unmanned aerial vehicle (UAV) systems, affects the overall efficiency of task completion and is often limited by energy consumption, obstacles, and maneuverability in complex application environments. Traditional algorithms have insufficient performance in nonlinear, multimodal, and multiconstraints problems. Based on this, this paper proposes an improved exponential-trigonometric optimization (ETO) to solve a 3D smooth path planning model based on a spherical Bezier curve. Firstly, a fixed arc length resampling strategy is proposed to address the issue of the insufficient adaptability of existing path smoothing methods to dynamic threats. Generate a uniformly distributed set of reference points along the Bezier curve and combine it with spherical projection to improve the safety and efficiency of the flight path. On this basis, establish a total cost function that includes four types of costs. Secondly, a new ETO variant called IETO is proposed by introducing the alpha evolution strategy, noise and physical attack strategy, and opposition-based cross teaching strategy into ETO. Then, the effectiveness of IETO for addressing various optimization problems is showcased through population diversity analysis, ablation analysis, and benchmark experiments. Finally, the results of the simulation experiment indicate that IETO stably provides shorter and smoother safe paths for UAVs in three elevation maps with different terrain features.","url":"https://pubmed.ncbi.nlm.nih.gov/41744531/","authors":["Cao Y","Chen K","Hu G"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2026 Jan 23","doi":"10.3390/biomimetics11020085","addedAt":"2026-08-31T06:40:02.907Z","updatedAt":"2026-08-31T06:40:02.907Z"},{"id":"pmid:41728196","name":"UAV multispectral sensing and data-driven modeling for precision onion yield prediction.","source":"pubmed","abstract":"The integration of unmanned aerial vehicle (UAV)-assisted remote sensing with the Internet of Things (IoT) and Internet of Everything (IoE) offers a robust platform for optimizing precision agriculture by capturing spatiotemporal variability in crop growth. In this context, the present study aimed to predict the bulb yield of rainy-season onion crops across four staggered planting dates using UAV-based multispectral imagery. Canopy reflectance mosaics acquired at key growth stages, along with vegetation indices (VIs), viz. NDVI, NDRE, SAVI, LAI, NORM2, and GNDVI, were extracted for yield modeling. Yield prediction models at three onion growth stages were developed and assessed using five machine learning algorithms: linear regression (lm), random forest (rf), support vector machine with radial kernel (svmRadial), gradient boosting (gbm), and elastic net regression (glmnet), with model training and evaluation performed using 10-fold cross-validation. Among these, random forest consistently outperformed the other models at all growth stages, showing promising results at the bulb development stage, with a training R 2 = 0.944, RMSE = 1.919 t ha -1 , MAE = 1.523 t ha -1 , and a validation R&#xb2; = 0.755, RMSE = 3.824 t ha -1 , and MAE = 3.11 t ha -1 . The support vector machine also demonstrated strong generalization (training R&#xb2; = 0.787; validation R 2 = 0.716), highlighting its predictive capability. Year-wise evaluation revealed notable interannual variability in model performance, with models trained on data from 2024 outperforming those from 2023. Overall, these results demonstrate the efficacy of UAV-derived multispectral sensing, combined with machine learning, as an effective, scalable, and timely approach for reliable onion yield prediction and decision support in rainy-season onion crops under varying agronomic conditions.","url":"https://pubmed.ncbi.nlm.nih.gov/41728196/","authors":["Wayal SM","Parab S","Raj A","Khandagale K","Bhegde S","Dawale M","Bhangare I","Khaire M","Kadam Y","Shaikh Z","Karuppaiah V","Gedam P","Bibwe B","More SJ","Sharma LK","Mahajan V","Gawande SJ"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.3389/fpls.2025.1696730","addedAt":"2026-08-31T06:40:02.907Z","updatedAt":"2026-08-31T06:40:02.907Z"},{"id":"pmid:41722300","name":"MACTrack: Spatiotemporal context propagation with motion compensation for anti-UAV tracking.","source":"pubmed","abstract":"In response to the security threats posed by unauthorized unmanned aerial vehicle (UAV) activities, robust visual tracking has become a critical component in anti-UAV systems. However, existing trackers often suffer from severe performance degradation due to agile target motion, complex dynamic backgrounds, and nonlinear motion coupling between the tracking platform and UAVs, leading to frequent tracking drift. To address these challenges, we propose MACTrack, a robust anti-UAV tracking framework that jointly integrates motion awareness with spatio-temporal context modeling. Specifically, an asymmetric spatial context module enhances semantic discrimination between the template and search region through complementary self-attention and cross-attention mechanisms, enabling accurate target localization in complex scenes. Meanwhile, a temporal context propagation module adaptively aggregates historical information via memory-guided attention, effectively alleviating performance instability caused by short-term occlusion and appearance variations. In addition, a motion compensation module explicitly aligns feature representations to mitigate tracking failures induced by platform motion. Extensive experiments on the challenging ANTI-UAV410 benchmark demonstrate that MACTrack achieves an accuracy of 88.9% and a success rate of 66.5%, outperforming a competitive baseline by 7.9% and 7.4%, respectively. These results validate the effectiveness of the proposed framework in addressing performance degradation in anti-UAV tracking scenarios.","url":"https://pubmed.ncbi.nlm.nih.gov/41722300/","authors":["Xu W","Sun H","Wang S","Zhang X","Ji Y"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2026 Jul","doi":"10.1016/j.neunet.2026.108725","addedAt":"2026-08-31T06:40:02.907Z","updatedAt":"2026-08-31T06:40:02.907Z"},{"id":"pmid:41716999","name":"Lithium dendrite inhibition effect induced by nucleation parameters based on the mechanical-thermo-electrochemical coupling model.","source":"pubmed","abstract":"Solid-state lithium batteries offer numerous advantages, including high energy density, superior mechanical strength, excellent cycle stability, non-flammability, and extended service life. However, the uncontrolled growth of lithium dendrites at the electrode/electrolyte interface is a critical challenge, limiting the battery performance and safety. The inhibition effect of lithium dendrite growth is investigated based on the phase field theory to address the above-mentioned issue. A nonlinear mechanical-thermo-electrochemical coupling model integrating the mechanical, thermal, and electrochemical fields is formulated to investigate the morphological characteristics and evolutionary dynamics of lithium dendrite. The influences of the initial nucleation shapes and positions on the inhibition effect of lithium dendrite growth are discussed. The dendrite growth under the initial elliptical nucleation condition remains uninhibited, whereas that under the initial circular nucleation condition exhibits a distinct self-inhibition effect. These findings provide insights for advancing inhibition strategies of lithium dendrite growth under multi-field coupling conditions.","url":"https://pubmed.ncbi.nlm.nih.gov/41716999/","authors":["Hao WQ","Xie JM","Hou PY","Wang FH"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2026 Feb 20","doi":"10.1016/j.isci.2026.114740","addedAt":"2026-08-31T06:40:02.907Z","updatedAt":"2026-08-31T06:40:02.907Z"},{"id":"pmid:41714667","name":"Quantum-secured routing in drone communication for 6G-enabled smart mobility.","source":"pubmed","abstract":"The emergence of sixth-generation (6G) wireless networks introduces unprecedented requirements for ultra-secure, low-latency communication across heterogeneous space&#x2013;air&#x2013;ground integrated network (SAGIN). Existing drone communication frameworks including LoRaWAN, Long Term Evolution, and Ad Hoc mesh architectures exhibit critical vulnerabilities to eavesdropping, jamming, and quantum-computational attacks due to their reliance on classical cryptographic primitives. To address these challenges, this work presents the Quantum-Secured Adaptive Routing Algorithm (QSARA), a novel framework designed for 6G-enabled unmanned aerial vehicle (UAV) networks that integrates Quantum Key Distribution (QKD), Reconfigurable Intelligent Surfaces (RIS), and Joint Communication and Sensing (JCAS) to enhance information-theoretic security and real-time performance. The proposed framework employs a quantum-augmented dynamic graph model to represent UAV swarm networking and uses Proximal Policy Optimisation (PPO)-based deep reinforcement learning to optimise routing under adversarial and uncertain conditions. A multi-objective cost function jointly captures classical quality of service metrics, such as latency, bandwidth, and energy consumption alongside with quantum-layer security indicators, including quantum bit error rate, key pool entropy, and key availability. High-fidelity simulations with 500 mobile drones under diverse adversarial threats demonstrate that the proposed framework achieves a key establishment success rate of 96.2%, end-to-end latency of 23.7 milliseconds, energy consumption of 7.8 watt-hours, and a packet delivery ratio of 94.1%, outperforming state-of-the-art classical and quantum-aware baselines. These results position the QSARA as a scalable and quantum-resilient routing solution for mission-critical UAV networking in next-generation 6G smart mobility ecosystems.","url":"https://pubmed.ncbi.nlm.nih.gov/41714667/","authors":["Hafeez S","Abro GEM","Memon SA","Khan TA","Memon I","Nasir H"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2026 Feb 19","doi":"10.1038/s41598-026-36297-5","addedAt":"2026-08-31T06:40:02.907Z","updatedAt":"2026-08-31T06:40:02.907Z"},{"id":"pmid:41708661","name":"Smart irrigation system and early plant disease detection using IoT and novel non-linear growing self-organizing map based artificial neural network.","source":"pubmed","abstract":"The safety of the global food supply depends heavily on effective crop management, making early diagnosis of plant diseases vital for improving agricultural productivity. This proposal outlines the development of an intelligent irrigation system that utilizes machine learning and the Internet of Things (IoT) for the early detection of sugarcane leaf diseases and assessment of their impact on crop yield. The system gathers and analyzes data on soil temperature, humidity, and leaf characteristics-specifically changes in texture and color-using high-resolution photography from unmanned aerial vehicles (UAVs) and IoT-connected sensors. To enhance feature extraction and classification, the system employs a non-linear growing self-organizing map (NG-SOM) embedded within the hidden layers of an artificial neural network (ANN). This advanced model effectively identifies complex patterns in the collected data. Compared to traditional classification methods, this approach achieves a sugarcane disease detection accuracy of 95.6% and reduces false positives by 18.3%. It has been tested on multiple disease types, including red rot, smut, and rust. Additionally, the integration of early diagnosis with intelligent irrigation shows a strong correlation with optimized crop production. Predictive modeling of disease progression based on early detection improves output projections by 22.4%, demonstrating the system's value in precision agriculture. By merging UAV imaging, sensor-based monitoring, and advanced machine learning, this approach offers a promising solution for proactive crop disease management and sustainable yield enhancement in sugarcane farming.","url":"https://pubmed.ncbi.nlm.nih.gov/41708661/","authors":["Gorijavolu D","Sharma K","Rao NS"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2026 Feb 18","doi":"10.1038/s41598-025-33323-w","addedAt":"2026-08-31T06:40:02.907Z","updatedAt":"2026-08-31T06:40:02.907Z"},{"id":"pmid:41706797","name":"Precise tea leaf disease detection using UAV low-altitude remote sensing and optimized YOLO11 model.","source":"pubmed","abstract":"Tea leaf diseases seriously affect its yield and quality, and consequently there is an urgent need for intelligent detection methods with high precision and edge deployment capabilities. To address low detection accuracy in complex backgrounds, overfitting due to limited data, and redundant parameters for existing methods, this paper proposes an improved lightweight detection model FCHE-YOLO based on the YOLO11, which aims to achieve rapid and accurate identification of tea leaf disease combining low altitude remote sensing with unmanned aerial vehicle (UAV). The model has made three key optimizations in the structure: Introduce the self-developed lightweight backbone module FC_C3K2, which significantly reduces computation and parameter count while enhancing the robustness of the model to complex scenarios; construct an efficient feature fusion structure HSFPN, optimizing multi-scale information integration and compressing model volume; design the detection head Efficient Head, integrating group convolution and lightweight attention mechanism to improve detection accuracy and suppress overfitting. The experimental results from the self built tea gardens show that the FCHE-YOLO improves the average accuracy (mAP) from 94.1% to 98.1% compared to the benchmark model YOLO11, with an improvement of 4.0 percentage points. Meanwhile, the inference speed of the model increases from 43.3 FPS to 47.5 FPS, with an increase of 9.0%, meeting the real-time detection requirements. More importantly, by network structure optimization, the model's computational complexity is significantly reduced: The floating-point operations per second (FLOPs) decreases from 6.4 G to 4.2 G, with a decrease of 34.3%, and the parameter count decreases from 2.59 M to 1.46 M, with the compression rate reaching 38.9%, which makes the model more suitable for deployment on resource-constrained UAV edge devices. The final test show that the FCHE-YOLO significantly reduces the missed-detection rate, owns better detection accuracy and deployment practicality, and is suitable for real-time monitoring scenarios of tea leaf diseases with UAVs.","url":"https://pubmed.ncbi.nlm.nih.gov/41706797/","authors":["Zhang Y","Wu G","Shen J"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.1371/journal.pone.0342545","addedAt":"2026-08-31T06:40:02.907Z","updatedAt":"2026-08-31T06:40:02.907Z"},{"id":"pmid:41696276","name":"Advanced Leak Detection Methods for Belowground Natural Gas Pipeline Leaks: Evaluation under Diverse Environmental and Operational Conditions.","source":"pubmed","abstract":"Advanced leak detection (ALD) methods are increasingly employed to enhance the safety of natural gas (NG) infrastructure and reduce methane (CH 4 ) emissions. While these technologies have proven effective for detecting aboveground leaks, their effectiveness in detecting belowground leaks remains limited due to the complex behavior of subsurface gas migration and the diffuse nature of surface and atmospheric plume presentation. This study presents a comprehensive experimental evaluation of ALD methods, including walking, driving, and simulated unmanned aerial vehicle (UAV sim )-based surveys, conducted under controlled conditions at leak rates of 0.5, 5, and 10 slpm (0.334, 3.34, and 6.67 g/min). Experiments were carried out over two years at the Methane Emissions Technology Evaluation Center (METEC) and the U.S. Air Force Academy's Field Engineering and Readiness Laboratory (FERL), encompassing a range of environmental and operational conditions, including gas composition, soil moisture and permeability, urban geometry, sloped terrain (5% grade), and snow-covered surfaces. The probability of detection (POD) was used as the primary performance metric to quantify detection success under each scenario. Results showed that POD varied widely from 0 to 100% for the same detection method depending on site conditions. Walking surveys consistently outperformed other methods, achieving POD values greater than 90% across most conditions and downwind distances, and demonstrating strong reliability even in snow, moist soils, and sloped terrain. Driving and UAV-based surveys exhibited high PODs (up to 100%) in dry, open environments but experienced reductions exceeding 80 pp (percentage points) under snow-covered surfaces and urban conditions. For instance, gas composition had a measurable effect, with Denver-Julesburg (DJ) and Permian Basin gases improving POD for walking surveys but reducing it for driving and UAV-based surveys relative to distribution-grade gas, as heavier hydrocarbons alter subsurface migration and emission patterns. Similarly, low soil permeability reduced POD by up to 36 pp for driving surveys, while moist soils led to reductions of up to 79 pp for UAV-based surveys. In urban environments, POD for UAV-based surveys declined by 88 pp at 15 m downwind and failed to detect any atmospheric CH 4 concentrations above the detection threshold under snow-covered conditions. These findings underscore the strong dependence of ALD performance on environmental and operational variables and provide critical insights for refining detection protocols and optimizing survey strategies in complex, real-world conditions.","url":"https://pubmed.ncbi.nlm.nih.gov/41696276/","authors":["Gundapuneni VR","Lo JH","Zimmerle DJ","Smits KM"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2026 Feb 10","doi":"10.1021/acsomega.5c07766","addedAt":"2026-08-31T06:40:02.907Z","updatedAt":"2026-08-31T06:40:02.907Z"},{"id":"pmid:41695541","name":"Transfer learning for improving generalizability in predicting soybean maturity date using UAV imagery.","source":"pubmed","abstract":"High-throughput and accurate phenotyping is critical for enhancing crop breeding efficiency by enabling rapid identification of superior cultivars within large populations. For soybean [ Glycine max (L.) Merr. ], maturity group is a key determinant of geographic adaptation and influences yield potential. Consequently, accurate assessment of physiological maturity dates is essential for selecting lines suited to specific environments. This study evaluated the feasibility of three transfer learning techniques in improving the generalizability of models developed using historical data to predict the maturity dates of soybean breeding lines across new environments.","url":"https://pubmed.ncbi.nlm.nih.gov/41695541/","authors":["Zhou J","Zhou J","Scaboo A","Beche E","Xu Z","Zhang Z"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.3389/fpls.2025.1720819","addedAt":"2026-08-31T06:40:02.907Z","updatedAt":"2026-08-31T06:40:02.907Z"},{"id":"pmid:41695522","name":"Artificial intelligence in plant science: from image-based phenotyping to yield and trait prediction.","source":"pubmed","abstract":"With the development of artificial intelligence (AI) in complicated imaging and remote sensing technologies, plant research is transitioning from manual measurements to automated data collecting. High-throughput image-based phenotyping enables the precise and automated acquisition of traits across various spatial and temporal scales, ranging from controlled laboratory settings to intricate field. Furthermore, AI facilitates the combination of satellite observations, unmanned aerial vehicle (UAV) imaging, soil and climate data, and spatiotemporal information to enhance the precision of trait monitoring and yield prediction. These advances enhance the ability to evaluate and predict crop performance under variable environmental conditions. This paper offers a cross-disciplinary paradigm for accurate and sustainable modern agriculture by merging AI methodologies with plant phenotyping and yield forecasting.","url":"https://pubmed.ncbi.nlm.nih.gov/41695522/","authors":["Wang T","Tong R","Xu T","Li Y","Chen Y"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.3389/fpls.2025.1732979","addedAt":"2026-08-31T06:40:02.907Z","updatedAt":"2026-08-31T06:40:02.907Z"},{"id":"pmid:41688894","name":"Predicting species diversity and community traits from remote sensing in species-rich grasslands.","source":"pubmed","abstract":"Species-rich grasslands (SRGs) provide unique ecosystem services, yet they are some of the most understudied environments in Scotland. This is because their true extent is unknown, and their locations are often in unreachable areas. Remote sensing may ameliorate this by helping to distinguish between SRG classes and increase monitoring efforts. However, these applications have not been conducted across highly diverse grasslands at national scales. We aimed to address this by applying remote sensing techniques to multiple classes of species-rich grasslands, nationally. Using an Unmanned Aerial Vehicle (UAV), we investigated the Spectral Variation Hypothesis, testing the relationship between species diversity (species richness) and spectral diversity (variation in surface reflectance using the coefficient of variation and standard deviation). Additionally, data was acquired from Sentinel-2 and Planetscope satellites, as well as the UAV data, assessing the prediction of grassland community traits (above ground biomass, sward height, and SPAD-measured chlorophyll) across multiple spatial (8&#x2009;cm &#x2212; 10&#x2009;m) and spectral (8&#x2013;13 bands) resolutions. The results contrast with prior studies of single sites and less diverse grasslands, indicating that there was no significant relationship between species diversity and the spectral diversity metrics, standard deviation (p&#x2009;=&#x2009;0.120) and the coefficient of variation (p&#x2009;=&#x2009;0.141), across seven of our study sites. The accuracy of grassland trait prediction varied largely with spatial and spectral resolution and the combination of predictor variables used. The UAV mounted multispectral Micasense predictor variables were most successful in predicting all traits: sward height, above ground biomass, and SPAD-measured chlorophyll (R2&#x2009;=&#x2009;0.545, R2&#x2009;=&#x2009;0.221, R2&#x2009;=&#x2009;0.167 respectively). The results suggest monitoring across species-rich grassland classes using remote sensing may be hampered by increased variation and confounding factors in these highly diverse habitats. Further methodological advancements are needed for wide scale cross-grassland habitat differentiation and monitoring, and field guidelines for remote sensing species-rich grasslands must be elaborated.","url":"https://pubmed.ncbi.nlm.nih.gov/41688894/","authors":["Suter S","Welden N","Roberts K","Barrett B"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2026 Feb 13","doi":"10.1186/s12862-026-02500-4","addedAt":"2026-08-31T06:40:02.907Z","updatedAt":"2026-08-31T06:40:02.907Z"},{"id":"pmid:41684884","name":"UAV-LiDAR dataset of Pangandaran coastal tourism hotspots for tsunami and climate risk valuation and exposure mapping.","source":"pubmed","abstract":"This article presents a high-resolution UAV-LiDAR dataset acquired over the main coastal tourism hotspots of Pangandaran, West Java, Indonesia (WGS84 / UTM Zone 49S). The survey was conducted using a DJI Matrice 300 RTK equipped with a CHCNAV AA450 LiDAR system at altitudes of 77-83 m AGL, following grid-based flight lines with 80% forward and 70% side overlap. The final point cloud, delivered in LAS format, exhibits a mean density of approximately 865 pts/m&#xb2;, with dominant values of 600-800 pts/m&#xb2; across roads, roofs, and open terrain, and localized peaks exceeding 3,000 pts/m&#xb2; in areas of flight-line overlap. Ground control was established using three static base stations, with 14 calibration control points and 8 independent validation check points. Accuracy assessment yields RMSE values of 0.072 m (Easting), 0.062 m (Northing), and 0.138 m (Elevation), with corresponding mean biases of 0.017 m, 0.017 m, and 0.044 m, confirming centimeter-level positional precision suitable for detailed coastal mapping. The dataset includes DSM and DTM derivatives, block-based tiles, metadata, and processing reports, supporting its use in tsunami exposure assessment, climate-risk valuation, urban coastal planning, and remote-sensing education. As one of the first openly accessible UAV-LiDAR datasets for an Indonesian coastal tourism hotspot, it provides a reproducible, high-density 3D resource for research, hazard analysis, and sustainable coastal development.","url":"https://pubmed.ncbi.nlm.nih.gov/41684884/","authors":["Syamsuddin ML","Abdurrahman U","Puspita AR","Sunarto","Sari QW","Syamsudin F","Pratyaksa IF","Cipta IM","Radjawane IM","Park H"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2026 Apr","doi":"10.1016/j.dib.2026.112505","addedAt":"2026-08-31T06:40:02.907Z","updatedAt":"2026-08-31T06:40:02.907Z"},{"id":"pmid:41682569","name":"Highly Efficient Deep Learning-Enabled Parameterization and 3D Reconstruction of Traditional Chinese Roof Structures.","source":"pubmed","abstract":"Ancient Chinese architecture, with its typical symmetrical structures, curved roofs, and upturned eaves presenting a unique architectural aesthetic, is a treasure of Chinese culture. Recently, unmanned aerial vehicle oblique photogrammetry and laser scanning technology have greatly facilitated the realistic replication of ancient buildings and have become crucial data sources for the HBIM of ancient buildings. However, parameter extraction and geometric model representation are more difficult because of the curved surfaces and upturned eaves of traditional Chinese roofs. As symmetrical features are typical of ancient Chinese architecture, the parameter quantity and modelling difficulty of the model representation can be effectively reduced by recognizing the symmetrical structure of traditional Chinese roofs and using \"mirror replication\" to quickly generate the other half of the model. Accurate symmetry detection and highly efficient parameter extraction are crucial for the HBIM of traditional Chinese roofs. Therefore, in this study, a deep learning network, namely, TCRSym-Net, is proposed to identify the symmetry from point clouds of traditional Chinese roofs. Each roof point cloud is then relocated and reoriented to obtain longitudinal and cross sections, and parametric modelling scripts are coded in Dynamo to model traditional Chinese roofs via curve lofting and solid Boolean operations. The experimental results reveal that the symmetry detection network is effective for symmetry detection, and five different types of traditional Chinese roofs are successfully recreated, which confirms the dependability of the method.","url":"https://pubmed.ncbi.nlm.nih.gov/41682569/","authors":["Ou R","Yang F","Li L","Cheng L","Qian L","He Y","Che M","Zhang C"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2026 Feb 5","doi":"10.3390/s26031054","addedAt":"2026-08-31T06:40:02.907Z","updatedAt":"2026-08-31T06:40:02.907Z"},{"id":"pmid:41682545","name":"DCDW-YOLOv11: An Intelligent Defect-Detection Method for Key Transmission-Line Equipment.","source":"pubmed","abstract":"The detection of defects in key transmission-line equipment under complex environments often suffers from insufficient accuracy and reliability due to background interference and multi-scale feature variations. To address this issue, this paper proposes an improved defect detection model based on YOLOv11, named DCDW-YOLOv11. The model introduces deformable convolution C2f_DCNv3 in the backbone network to enhance adaptability to geometric deformations of targets, and incorporates the convolutional block attention module (CBAM) to highlight defect features while suppressing background interference. In the detection head, a dynamic head structure (DyHead) is adopted to achieve cross-layer multi-scale feature fusion and collaborative perception, along with the WIoU loss function to optimize bounding box regression and sample weight allocation. Experimental results demonstrate that on the transmission-line equipment defect dataset, DCDW-YOLOv11 achieves an accuracy, recall, and mAP of 94.4%, 92.8%, and 96.3%, respectively, representing improvements of 2.8%, 7.0%, and 4.4% over the original YOLOv11, and outperforming other mainstream detection models. The proposed method can provide high-precision and highly reliable defect detection support for intelligent inspection of transmission lines in complex scenarios.","url":"https://pubmed.ncbi.nlm.nih.gov/41682545/","authors":["Wang D","Song R","Liu M","Wang X","Zhang C","Wang Z","Zhao D"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2026 Feb 4","doi":"10.3390/s26031029","addedAt":"2026-08-31T06:40:02.907Z","updatedAt":"2026-08-31T06:40:02.907Z"},{"id":"pmid:41682368","name":"AI-Based 3D Modeling Strategies for Civil Infrastructure: Quantitative Assessment of NeRF and Photogrammetry.","source":"pubmed","abstract":"Three-dimensional (3D) modeling technologies are increasingly vital in civil engineering, providing precise digital representations of infrastructure for analysis, supervision, and planning. This study presents a comparative assessment of Neural Radiance Fields (NeRFs) and digital photogrammetry using a real-world case study involving a terrace at the Civil Engineering School of the Pontificia Universidad Cat&#xf3;lica de Valpara&#xed;so. The comparison is motivated by the operational complexity of image acquisition campaigns, where large image datasets increase flight time, fieldwork effort, and survey costs. Both techniques were evaluated across varying levels of data availability to analyze reconstruction behavior under progressively constrained image acquisition conditions, rather than to propose new algorithms. NeRF and photogrammetry were compared based on visual quality, point cloud density, geometric accuracy, and processing time. Results indicate that NeRF delivers fast, photorealistic outputs even with reduced image input, enabling efficient coverage with fewer images, while photogrammetry remains superior in metric accuracy and structural completeness. The study concludes by proposing an application-oriented evaluation framework and potential hybrid workflows to guide the selection of 3D modeling technologies based on specific engineering objectives, survey design constraints, and resource availability while also highlighting how AI-based reconstruction methods can support emerging digital workflows in infrastructure monitoring under variable or limited data conditions.","url":"https://pubmed.ncbi.nlm.nih.gov/41682368/","authors":["Atencio E","Duarte F","Lozano-Galant F","Porras R","Xia Y"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2026 Jan 28","doi":"10.3390/s26030852","addedAt":"2026-08-31T06:40:02.907Z","updatedAt":"2026-08-31T06:40:02.907Z"},{"id":"pmid:41681568","name":"Soil Moisture Inversion in Alfalfa via UAV with Feature Fusion and Ensemble Learning.","source":"pubmed","abstract":"Timely access to soil moisture conditions in farmland crops is the foundation and key to achieving precise irrigation. Due to their high spatiotemporal resolution, unmanned aerial vehicle (UAV) remote sensing has become an important method for monitoring soil moisture. This study addresses soil moisture retrieval in alfalfa fields across different growth stages. Based on UAV multispectral images, a multi-source feature set was constructed by integrating spectral and texture features. The performance of three machine learning models-random forest regression (RFR), K-nearest neighbors regression (KNN), and XG-Boost-as well as two ensemble learning models, Voting and Stacking, was systematically compared. The results indicate the following: (1) The integrated learning models generally outperform individual machine learning models, with the Voting model performing best across all growth stages, achieving a maximum R 2 of 0.874 and an RMSE of 0.005; among the machine learning models, the optimal model varies with growth stage, with XG-Boost being the best during the branching and early flowering stages (maximum R 2 of 0.836), while RFR performs better during the budding stage (R 2 of 0.790). (2) The fusion of multi-source features significantly improved inversion accuracy. Taking the Voting model as an example, the accuracy of the fused features (R 2 = 0.874) increased by 0.065 compared to using single-texture features (R 2 = 0.809), and the RMSE decreased from 0.012 to 0.005. (3) In terms of inversion depth, the optimal inversion depth for the branching stage and budding stage is 40-60 cm, while the optimal depth for the early flowering stage is 20-40 cm. In summary, the method that integrates multi-source feature fusion and ensemble learning significantly improves the accuracy and stability of alfalfa soil moisture inversion, providing an effective technical approach for precise water management of artificial grasslands in arid regions.","url":"https://pubmed.ncbi.nlm.nih.gov/41681568/","authors":["Chen J","Yin J","Jiang Y","Kang Y","Ma Y","Qi G","Jin C","Xie B","Yu W","Wang Y","Chen J","Zhu J","Li B"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2026 Jan 28","doi":"10.3390/plants15030404","addedAt":"2026-08-31T06:40:02.907Z","updatedAt":"2026-08-31T06:40:02.907Z"},{"id":"pmid:41681541","name":"Co-Registration of UAV and Handheld LiDAR Data for Fine Phenotyping of Rubber Plantations with Complex Canopies.","source":"pubmed","abstract":"Rubber tree phenotyping is transitioning from labor-intensive manual techniques toward high-throughput intelligent sensing platforms. However, the advancement of high-throughput phenotyping remains hindered by complex canopy architectures and pronounced seasonal morphological variations. To address these challenges, this paper introduces a unified phenotyping framework that leverages a novel Wood Salient Keypoint (WSK)-based registration algorithm to achieve seamless data fusion from unmanned aerial vehicle laser scanning (ULS) and handheld laser scanning (HLS) systems. The proposed approach begins by extracting stable wooden structures through a region-of-interest (ROI) segmentation process. Repeatable WSKs are then generated using a newly proposed wood structure significance (WSS) score, which quantifies and identifies salient regions across multi-view data. For transformation estimation, descriptor matching, WSS constraints, and geometric consistency optimization are integrated into a fast global registration (FGR) pipeline. Extensive evaluation across 25 plots covering 5 sites at the National rubber plantation base in Danzhou, Hainan, China, demonstrates that the method achieves a mean co-registration accuracy of 9 cm. Further analysis under varying seasonal canopy complexities confirms its robustness and critical role in enabling high-precision rubber tree phenotyping.","url":"https://pubmed.ncbi.nlm.nih.gov/41681541/","authors":["Tan J","Chen H","Zhang K","Yang H","Wang X","Yang R","Hu G","Li S","Liu J","Wang X"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2026 Jan 26","doi":"10.3390/plants15030376","addedAt":"2026-08-31T06:40:02.907Z","updatedAt":"2026-08-31T06:40:02.907Z"},{"id":"pmid:41678502","name":"Assessing transferred energy in drone impacts using rigid impactor tests.","source":"pubmed","abstract":"The rapid development of unmanned aerial systems (UAS) has led to their widespread use and affordability. A major safety issue is understanding the health consequences of drone-human collisions, which largely depends on rigorous testing methods. The aim of this paper is to determine the response of the anthropomorphic test device (ATD) using a rigid impactor with gradually increasing impact kinetic energy (KE) and to obtain a validated dataset for subsequent comparisons in case of vertical impact to the top of the head. A total of 30 tests were performed with kinetic energy at impact ranging from 5 to 180 J. It was assumed that the majority of the kinetic energy during impacts was absorbed by the ATD head. This enables the derivation of scalable results across various impact energies and orientations. These results were subsequently compared with actual UAS impact tests. The findings suggest that with increasing kinetic energy of the UAS impact, the percentage of transferred energy decreases. For this reason, it is not possible to confirm a linear trend similar to that observed in tests with rigid impactors. This phenomenon is particularly evident in the design of the DJI Phantom, whose plastic frame underwent significant deformation, thereby reducing energy transmission to the head. The comparison with impactor tests showed that, although the UAS was potentially able to reach a KE of up to 280 J at a limit speed of 20 m/s, the transmitted energy was only about 20%. This observed trend was confirmed by biomechanical criteria, including Peak Head Acceleration, Head Injury Criterion, 15&#x2009;ms (HIC15), and Neck Injury Criterion (Nij). In cases where testing facility capabilities are limited and tests cannot be performed at the critical speed or terminal velocity, the HIC15 relationship to KE seems to be more accurate than peak head acceleration. It should be noted that the proposed approach is validated only for vertical, top-of-head impacts. For these reasons, the safety criteria currently used for UAS, which are primarily based on a linear energy transfer assumption, may lead to overly restrictive injury predictions when applied to the more pliable and deformable UAS structures.","url":"https://pubmed.ncbi.nlm.nih.gov/41678502/","authors":["Svatý Z","Vrtal P","Nouzovský L","Zlámal P","Nováček J"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.1371/journal.pone.0342560","addedAt":"2026-08-31T06:40:02.907Z","updatedAt":"2026-08-31T06:40:02.907Z"},{"id":"pmid:41673121","name":"Drone-based composite risk mapping reveals vegetation-shade interaction and housing typology as key determinants of Aedes habitat risk.","source":"pubmed","abstract":"Persistent dengue transmission in tropical cities reflects a complex interplay between environmental microclimates and urban housing structure that supports Aedes mosquito breeding. This study applies drone-based microhabitat risk mapping integrated with a biologically defined Composite Risk Index (CRI) to quantify fine-scale environmental drivers of Aedes habitat risk across distinct residential typologies in Sect.&#xa0; 24, Shah Alam, Malaysia. High-resolution RGB imagery obtained using a DJI Phantom 4 Pro was processed to derive the Brightness Index (BI) as a proxy for shade intensity and the Excess Green Index (ExG) as an indicator of vegetation density. These indices were integrated a priori into a CRI to operationalise known ecological conditions favourable for Aedes. Spatial analysis revealed a consistent risk gradient, with terrace housing exhibiting higher Composite Risk Index (CRI) values than flat complexes (low-density terrace (Teres D) &gt; dense terrace (Teres B) &gt; medium-rise (Flat H) &gt; high-rise (Flat B)), demonstrating that housing typology modulates the spatial expression of microhabitat risk rather than vegetation presence alone. Model calibration showed high predictive agreement (R&#xb2; = 0.91), with the top 20% of CRI-ranked pixels capturing 65% of observed breeding-prone zones, indicating strong spatial discriminative performance. These findings highlight that vegetation-shade coupling, expressed through housing morphology, governs Aedes habitat persistence and that drone-based microclimate mapping provides a precision surveillance tool for spatially targeted dengue control.","url":"https://pubmed.ncbi.nlm.nih.gov/41673121/","authors":["Mahfodz Z","Naba A","Isawasan P","Osman MA","Dom NC"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2026 Feb 11","doi":"10.1038/s41598-026-39951-0","addedAt":"2026-08-31T06:40:02.907Z","updatedAt":"2026-08-31T06:40:02.907Z"},{"id":"pmid:41670293","name":"A Lab-on-a-Drone for turbidimetric and nephelometric analysis of environmental water samples with real-time data transmission.","source":"pubmed","abstract":"This study reports the development and validation of a turbidimeter/nephelometer coupled to an unmanned aerial vehicle (UAV), constituting a Lab-on-a-Drone platform for real-time water analysis with data transmission via Wi-Fi. The system is based on turbidimetric and nephelometric detections using light-emitting diodes (LEDs) operating at 405 and 890 nm. Calibration curves were obtained for both detectors, and the 890 nm LED combined with infrared sensors exhibited superior performance and was therefore selected for validation. Linear working ranges of 0.50-40 (NTU, Nephelometric Turbidity Units) for nephelometry and 40-1000 (FAU, Formazin Attenuation Units) for turbidimetry were achieved, with limits of detection and quantification of 0.12 and 0.38 NTU and 11.13 and 37.12 FAU, respectively. The method was applied to turbidity determination in compliance with international and national regulations, including those of the United States Environmental Protection Agency (USEPA), which recommends turbidity values below 1.0 NTU; the World Health Organization (WHO) and the Brazilian Ministry of Health (MS), which establish limits of up to 5.0 NTU. Accuracy and precision were evaluated by comparison with a benchtop turbidimeter, and no statistically significant differences were observed at a 95% confidence level ( n = 3) using t - and f -tests. The Lab-on-a-Drone system integrates a micropump, a solenoid valve, and an optical detector, is remotely controlled via a smartphone, is powered by solar energy, and represents a sustainable alternative for water quality monitoring.","url":"https://pubmed.ncbi.nlm.nih.gov/41670293/","authors":["Rodrigo Dos Santos Silva J","de Alcântara Carvalho V","Bercley de Lima Vitorino G","Barbosa de Almeida JP","Fausto Ferreira A","Suarez WT","de Lima Borges E","Bezerra Dos Santos V"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2026 Feb 26","doi":"10.1039/d5ay01927c","addedAt":"2026-08-31T06:40:02.907Z","updatedAt":"2026-08-31T06:40:02.907Z"},{"id":"pmid:41661490","name":"A Fully Biomimetic Flexible Sensor Inspired by the Natural Layered Structure of Eggshells for Multimodal Human-Computer Interaction.","source":"pubmed","abstract":"The rapid advancement of naturally microstructure-bioinspired flexible sensors has sparked interest in creating multifunctional systems for human-computer interaction (HCI). However, most existing biomimetic sensors struggle to integrate multiple sensing modes, limiting their practical applications. Herein, this study proposes a design concept for a fully biomimetic sensor. By employing hybrid manufacturing techniques to achieve layer-by-layer biomimicry of the natural layered structure of eggshells, a flexible sensor with multiple sensing modes is developed. The eggshell-inspired multifunctional hybrid flexible sensor (EMHFS) incorporates four functional layers: a triboelectric layer for noncontact sensing, a piezoresistive layer for pressure sensing, and hydrophilic-hydrophobic layers for directional moisture wicking, breathability, and antibacterial properties. The eggshell-inspired structure enables synergistic functionality, allowing seamless switching between contact and noncontact sensing modes. EMHFS demonstrates exceptional performance in multimodal HCI applications, including gesture-controlled robotic hands, wearable unmanned aerial vehicle control systems, and touchless screen password and gesture unlocking, while also exhibiting remarkable sensitivity to weak physiological signals such as breathing and pulse. This fully biomimetic approach offers a novel solution for advanced, flexible, and multifunctional HCI devices.","url":"https://pubmed.ncbi.nlm.nih.gov/41661490/","authors":["He W","Zhang Y","Zhang P","Liu Y","Wu G","Xue B","Hu G","Li R","Zheng C","Zhang D"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2026 Feb 9","doi":"10.1007/s40820-026-02101-2","addedAt":"2026-08-31T06:40:02.907Z","updatedAt":"2026-08-31T06:40:02.907Z"},{"id":"pmid:41653693","name":"Observer-based prescribed-time optimal neural consensus control for six-rotor UAVs: A novel actor-critic reinforcement learning strategy.","source":"pubmed","abstract":"Six-rotor unmanned aerial vehicles (UAVs) offer significant potential, but still encounter persistent challenges in achieving efficient allocation of limited resources in dynamic and complex environments. Consequently, this paper explores the prescribed-time observer-based optimal consensus control problem for six-rotor UAVs with unified prescribed performance. A practical prescribed-time optimal control scheme is constructed through embedding the prescribed-time control method with a simplified reinforcement learning framework to realize the efficient resource allocation. Leveraging a prescribed-time adjustment function, the novel updating laws for actor and critic neural networks are developed, which guarantee that six-rotor UAVs reach a desired steady state within prescribed time. Moreover, an improved distributed prescribed-time observer is established, ensuring that each follower is able to precisely estimate the velocity and position information of the leader within prescribed time. Then, a series of nonlinear transformations and mappings is proposed, which cannot only satisfy diverse performance requirements under a unified control framework through only adjusting the design parameters a priori but also improve the user-friendliness of implementation and control design. Significantly, the global performance requirement simplifies verification process of initial constraints in traditional performance control methods. Furthermore, an adaptive prescribed-time filter is introduced to address the complexity explosion issue of the backstepping method on six-rotor UAVs, while ensuring the filter error converges within prescribed time. Eventually, simulation results confirm the effectiveness of the designed method.","url":"https://pubmed.ncbi.nlm.nih.gov/41653693/","authors":["Zhou Y","Cao L","Lei Y","Ren H"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2026 Jul","doi":"10.1016/j.neunet.2026.108644","addedAt":"2026-08-31T06:40:02.907Z","updatedAt":"2026-08-31T06:40:02.907Z"},{"id":"pmid:41651977","name":"Predictive hybrid scan-to-BIM method improves heritage building documentation completeness and accuracy.","source":"pubmed","abstract":"Incomplete survey data often undermines the reliability of Building Information Models (BIM), particularly for structures with restricted access and complex geometries. This study demonstrates a hybrid Scan-to-BIM workflow that integrates terrestrial laser scanning (TLS) and unmanned aerial vehicle (UAV) photogrammetry, supported by a predictive feasibility concept, to improve documentation accuracy and completeness. A two-phase strategy was validated on a chapel case study. Phase 1, combining TLS and ground-based photogrammetry, achieved only 54% coverage due to severe occlusions and limited scanner placement. These results led to the formulation of a Predictive Scan Feasibility Estimation Model (PSFEM), designed to generalize site-specific parameters such as scanner range, clearance angle, and building height into a decision-support tool for future surveys. Guided by the recognition of Phase 1 limitations, Phase 2 incorporated UAV photogrammetry and supplemental TLS, increasing coverage to 96%. Comparative analyses confirmed consistency in accuracy and improved geometric completeness. While the PSFEM was developed retrospectively based on the limitations identified in Phase 1, its analytical validation demonstrates the potential value of predictive planning for reducing redundant site visits and enhancing BIM reliability. The proposed framework provides a transferable basis for applying predictive hybrid workflows in both heritage and complex building documentation. This workflow offers a practical and scalable method for Scan-to-BIM documentation, applicable to heritage as well as other complex buildings, enabling high accuracy and completeness while effectively managing time and resources.","url":"https://pubmed.ncbi.nlm.nih.gov/41651977/","authors":["Salah R","Géczy N","Ajtayné Károlyfi K"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2026 Feb 6","doi":"10.1038/s41598-026-38200-8","addedAt":"2026-08-31T06:40:02.907Z","updatedAt":"2026-08-31T06:40:02.907Z"},{"id":"pmid:41650419","name":"Perch Like a Bird: Bio-Inspired Optimal Maneuvers and Nonlinear Control for Flapping-Wing Unmanned Aerial Vehicles.","source":"pubmed","abstract":"This research endeavors to design the perching maneuver and control in ornithopter robots. By analyzing the dynamic interplay between the robot's flight dynamics, feedback loops, and the environmental constraints, we aim to advance our understanding of the perching maneuver, drawing parallels to biological systems. Inspired by the elegant control strategies observed in avian flight, we develop an optimal maneuver and a corresponding controller to achieve stable perching. The maneuver consists of a deceleration and a rapid pitch-up (vertical turn), which arises from analytically solving the optimization problem of minimal velocity at perch, subject to kinematic and dynamic constraints. The controller for the flapping frequency and tail symmetric deflection is nonlinear and adaptive, ensuring robustly stable perching. Indeed, such adaptive behavior in a sense incorporates homeostatic principles of cybernetics into the control system, enhancing the robot's ability to adapt to unexpected disturbances and maintain a stable posture during the perching maneuver. The resulting autonomous perching maneuvers-closed-loop descent and turn-have been verified and validated, demonstrating excellent agreement with real bird perching trajectories reported in the literature. These findings lay the theoretical groundwork for the development of future prototypes that better imitate the skillful perching maneuvers of birds.","url":"https://pubmed.ncbi.nlm.nih.gov/41650419/","authors":["Ruiz Paez C","Acosta JA"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2026 Jun","doi":"10.1109/TCYB.2025.3650717","addedAt":"2026-08-31T06:40:02.907Z","updatedAt":"2026-08-31T06:40:02.907Z"},{"id":"pmid:41638936","name":"Neural network-based observer combined with nonsingular terminal sliding mode control for QUAV tracking: Experimental validation.","source":"pubmed","abstract":"This study integrates the adaptive neural network technique, state and disturbance observer, and nonsingular terminal sliding mode control framework to achieve rapid trajectory tracking for a quadrotor under state uncertainty, dynamic disturbances, and unknown dynamics. The control methodology begins by modeling the quadrotor's dynamics, including inherent uncertainties and disturbances. A state observer is designed to estimate unknown states while rejecting uncertainties and disturbances, with exponential convergence of observer errors demonstrated via Lyapunov theory. The tracking error between the observed quadrotor's states and the desired trajectory is subsequently defined, and a nonsingular terminal sliding mode surface is employed to stabilize this error. Using Lyapunov-based analysis, it is proven that the sliding surfaces converge to zero at an exponential rate. Furthermore, an adaptive neural network strategy is developed to approximate unknown components, including state variables, uncertainties, and disturbances. Simulation and experimental results using a quadrotor with realistic parameters validate the proposed control strategy, confirming its robustness and effectiveness.","url":"https://pubmed.ncbi.nlm.nih.gov/41638936/","authors":["Wang H","Mofid O","Mobayen S","Ali SA","Rozenblut P"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2026 Mar","doi":"10.1016/j.isatra.2026.01.034","addedAt":"2026-08-31T06:40:02.907Z","updatedAt":"2026-08-31T06:40:02.907Z"},{"id":"pmid:41637317","name":"Field evaluation of drone and AI assisted larval source management in Ghana.","source":"pubmed","abstract":"Malaria remains a major public health burden in sub-Saharan Africa. In Ghana, in particular, larval source management (LSM) is increasingly recognized as a complementary vector control strategy. This study evaluates a field-adapted LSM approach that integrates drone-based mapping and artificial intelligence (AI)-driven site prioritization to enhance operational efficiency and reduce resource use.","url":"https://pubmed.ncbi.nlm.nih.gov/41637317/","authors":["Bokpin GA","Adzei FA","Dadzie S","Umeda M","Kim J"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.1371/journal.pone.0340690","addedAt":"2026-08-31T06:40:02.907Z","updatedAt":"2026-08-31T06:40:02.907Z"},{"id":"pmid:41635118","name":"Measuring spray droplet size under unmanned aerial spraying system (UASS) downwash airflow using an image-processing-based liquid immersion method.","source":"pubmed","abstract":"Accurate characterization of spray droplet size distribution is critical for optimizing pesticide application from unmanned aerial spraying systems (UASSs), as it governs deposition efficiency and off-target drift. However, conventional methods like water-sensitive paper (WSP) are prone to inaccuracies from droplet spread and coalescence, while in-flight laser diffraction is impractical for field-wide measurements under turbulent downwash conditions. This study developed and validated an image-processing-based liquid immersion method using silicone oil as the collection medium. A custom test apparatus was used to collect droplets from a UASS, and high-resolution images were analyzed to determine droplet size distributions. The method's performance was compared against WSP and photographic paper (PP) and validated against a laboratory-standard laser diffraction instrument.","url":"https://pubmed.ncbi.nlm.nih.gov/41635118/","authors":["Li Y","Wang Z","Qi P","Feng X","Yang M","Zhu Z","Su L","He X","Wang C"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2026 May","doi":"10.1002/ps.70602","addedAt":"2026-08-31T06:40:02.907Z","updatedAt":"2026-08-31T06:40:02.907Z"},{"id":"pmid:41632859","name":"Multifunctional Superhydrophobic Ti(3)C(2)T(x) MXene/PMMA Thin Films with Dependable Anti/Deicing and EMI Shielding Performance.","source":"pubmed","abstract":"Electronic devices operating in extreme cold environments, such as outdoor base stations and polar unmanned aerial vehicles, require not only electromagnetic interference (EMI) shielding but also effective anti-icing and deicing capabilities to prevent ice formation and accretion. Protective materials that integrate anti-icing/deicing and EMI shielding functions are critically in demand. The multifunctional superhydrophobic Ti 3 C 2 T x MXene/poly(methyl methacrylate) (PMMA) thin film presented herein accomplishes this goal through rational material selection and structural design. A continuous MXene-flakes-constructed conductive network is embedded with radially diameter-arranged PMMA microspheres driven by electrostatic force. Tightly packed nanospheres generate abundant hierarchical wrinkles on the surface, establishing the structural foundation for light absorptivity (89.56%) and hydrophobicity, which reaches a water contact angle of 155.6&#xb0; after further hydrophobic modification. The existence of PMMA also prevents supercooled droplet penetration into the composite structure under high-humidity environments and prolongs icing time by retarding heat transfer simultaneously. Due to the excellent photothermal and electrothermal properties of MXene, the film surface can remain ice-free for extended periods (&gt;1000 s) under low-temperature and high-humidity conditions with minimal external energy input, while also enabling rapid removal of any accumulated ice. The film remains superior EMI shielding performance, showing an EMI SE of 54.2 dB at 35 &#xb1; 7 &#x3bc;m thickness at X-band. This work supplies a promising approach for efficiently integrating anti/deicing and EMI shielding functions.","url":"https://pubmed.ncbi.nlm.nih.gov/41632859/","authors":["Liu S","Wang W","Zhu Z","Yang Q","Ye L","Zhou F","Liu H","Wang K","Li H"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2026 Feb 18","doi":"10.1021/acsami.5c24935","addedAt":"2026-08-31T06:40:02.907Z","updatedAt":"2026-08-31T06:40:02.907Z"},{"id":"pmid:41632795","name":"Path planning for UAVs in complex terrain based on the PGD model: Algorithmic improvements combining feature extraction and reinforcement learning.","source":"pubmed","abstract":"This paper proposes the PGD model for UAV path planning in complex terrain, addressing key challenges such as high-dimensional state processing, blind path exploration, and poor cross-scene adaptability. The PGD model integrates Transformer, GAN, and DDPG, forming a \"compression-generation-optimization\" closed-loop system. The Transformer module compresses high-dimensional terrain data, alleviating training bottlenecks, while the GAN module generates high-quality candidate paths, reducing ineffective exploration. DDPG then optimizes the path planning strategy efficiently. Experimental results demonstrate the superior performance of PGD on the UAVDT (suburban) and AirSim (canyon) datasets. In terms of path length (Pl), PGD achieves 20.0m/22.0m, compared to baseline models such as PPO-DRL (23.8m) and Soft Actor-Critic (24.0m). PGD also outperforms in collision rate (Cr) with 2.5%/3.0% and computational efficiency (Tc) with 13.5s/16.0s, respectively. The PGD model shows significant improvements in path planning efficiency and adaptability, particularly in high-complexity terrains. Compared to traditional models, PGD's multi-module synergy enhances feature correlation and physical path constraints, offering a novel framework for intelligent planning in complex environments. Future work will focus on enhancing model adaptability to extreme weather and multi-agent collaborative scenarios.","url":"https://pubmed.ncbi.nlm.nih.gov/41632795/","authors":["Liu L","Li X","Meng L","Zhao Y","Lv Y"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.1371/journal.pone.0340394","addedAt":"2026-08-31T06:40:02.907Z","updatedAt":"2026-08-31T06:40:02.907Z"},{"id":"pmid:41600471","name":"Federated Learning Semantic Communication in UAV Systems: PPO-Based Joint Trajectory and Resource Allocation Optimization.","source":"pubmed","abstract":"Semantic Communication (SC), driven by a deep learning (DL)-based \"understand-before-transmit\" paradigm, transmits lightweight semantic information (SI) instead of raw data. This approach significantly reduces data volume and communication overhead while maintaining performance, making it particularly suitable for UAV communications where the platform is constrained by size, weight, and power (SWAP) limitations. To alleviate the computational burden of semantic extraction (SE) on the UAV, this paper introduces federated learning (FL) as a distributed training framework. By establishing a collaborative architecture with edge users, computationally intensive tasks are offloaded to the edge devices, while the UAV serves as a central coordinator. We first demonstrate the feasibility of integrating FL into SC systems and then propose a novel solution based on Proximal Policy Optimization (PPO) to address the critical challenge of ensuring service fairness in UAV-assisted semantic communications. Specifically, we formulate a joint optimization problem that simultaneously designs the UAV's flight trajectory and bandwidth allocation strategy. Experimental results validate that our FL-based training framework significantly reduces computational resource consumption, while the PPO-based algorithm approach effectively minimizes both energy consumption and task completion time while ensuring equitable quality-of-service (QoS) across all edge users.","url":"https://pubmed.ncbi.nlm.nih.gov/41600471/","authors":["Du S","Zhang Y","Tao Z","Li H","Mei H"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.3390/s26020675","addedAt":"2026-08-31T06:40:02.907Z","updatedAt":"2026-08-31T06:40:08.031Z"},{"id":"pmid:41600454","name":"Energy-Efficient Automated Detection of OPGW Features for Sustainable UAV-Based Inspection.","source":"pubmed","abstract":"Unmanned Aerial Vehicle (UAV)-based inspection is crucial for the maintenance and monitoring of high-voltage transmission lines, but detecting small objects in inspection images presents significant challenges, especially under complex backgrounds and varying lighting. These challenges are particularly evident when detecting the wire features of optical fiber composite overhead ground wire and conventional ground wires. Optical fiber composite overhead ground wire (OPGW) is a specialized cable designed to replace conventional shield wires on power utility towers. It contains one or more optical fibers housed in a protective tube, surrounded by layers of aluminum-clad steel and/or aluminum alloy wires, ensuring robust mechanical strength for grounding and high-bandwidth capabilities for remote sensing and control. Existing detection methods often struggle with low accuracy, insufficient performance, and high computational demands when dealing with small objects. To address these issues, this paper proposes an energy-efficient OPGW feature detection model for UAV-based inspection. The model incorporates a Feature Enhancement Module (FEM) to replace the C3K2 module in the sixth layer of the YOLO11 backbone, improving multi-scale feature extraction. A P2 shallow detection head is added to enhance the perception of small and edge features. Additionally, the traditional Intersection over Union (IoU) loss is replaced with Normalized Wasserstein Distance (NWD) loss function, which improves boundary regression accuracy for small objects. Experimental results show that the proposed method achieves a mAP50 of 78.3% and mAP50-95 of 52.0%, surpassing the baseline by 2.3% and 1.1%, respectively. The proposed model offers the advantages of high detection accuracy and low computational resource requirements, providing a practical solution for sustainable UAV-based inspections.","url":"https://pubmed.ncbi.nlm.nih.gov/41600454/","authors":["Yan X","Mao W","Li X","Huang R","Ye C","Li F","Fan Z"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2026 Jan 19","doi":"10.3390/s26020658","addedAt":"2026-08-31T06:40:02.907Z","updatedAt":"2026-08-31T06:40:02.907Z"},{"id":"pmid:41600387","name":"Optimization Method for Secrecy Capacity of UAV Relaying Based on Dynamic Adjustment of Power Allocation Factor.","source":"pubmed","abstract":"The broadcast nature of wireless channels introduces significant security vulnerabilities in information transmission, particularly when the eavesdropper is close to the legitimate destination. In such scenarios, the eavesdropping channel often exhibits high spatial correlation with, or even superior quality to, the legitimate channel. This makes it challenging for traditional power optimization methods to effectively suppress the eavesdropping rate. To address this challenge, this paper proposes an optimization method for the secrecy capacity of unmanned aerial vehicle (UAV) relaying based on the dynamic adjustment of the power allocation factor. By injecting artificial noise (AN) during signal forwarding and combining it with real-time channel state information, the power allocation factor can be dynamically adjusted to achieve precise jamming of the eavesdropping link. We consider a four-node communication model consisting of a source, a UAV, a legitimate destination, and a passive eavesdropper, and formulate a joint optimization problem to maximize the secrecy rate. Due to the non-convexity of the original problem, we introduce relaxation variables and apply successive convex approximation (SCA) to reformulate it into an equivalent convex optimization problem. An analytical solution for the power allocation factor is derived using the water-filling (WF) algorithm. Furthermore, an alternating iterative optimization algorithm with AN assistance is proposed to achieve global optimization of the system parameters. Simulation results demonstrate that, compared to traditional power optimization schemes, the proposed algorithm substantially suppresses the eavesdropping channel capacity while enhancing transmission efficiency, thereby significantly improving both secrecy performance and overall communication reliability.","url":"https://pubmed.ncbi.nlm.nih.gov/41600387/","authors":["Hao Y","Xiang Y","Du Q","Li X","Ding C","Hou D","Tian J"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2026 Jan 15","doi":"10.3390/s26020592","addedAt":"2026-08-31T06:40:02.907Z","updatedAt":"2026-08-31T06:40:02.907Z"},{"id":"pmid:41591208","name":"Multi-Soliton Microcombs Enable Ultrafast Nanometric-Precision Ranging and Photon-Level Detection.","source":"pubmed","abstract":"Optical microcombs offer unprecedented capabilities in precision ranging due to their compact footprint, broad spectral bandwidth, and high repetition rates. However, practical deployment is limited by a fundamental compromise: single-soliton states exhibit high coherence but low power conversion efficiency, whereas chaotic microcombs achieve higher efficiency at the expense of significant phase noise. Here, we overcome both limitations by implementing multi-soliton microcombs in dual-comb system. Multi-soliton states provide higher efficiency and easier accessibility than single-soliton states, while maintaining high coherence essential for nanometric precision compared to chaotic states. Experimental results indicate that utilizing three solitons in both combs, the measurement uncertainty is within &#xb1;17&#xa0;nm and the precision reaches 1.43&#xa0;nm at 2 &#xb5;s and 3.42 pm at 500 &#xb5;s. We also demonstrate vibration monitoring, spinning disk measurement, and unmanned aerial vehicle tracking. Moreover, with the five-soliton signal comb and single-soliton local comb, photon-level ranging at femtowatt-level power exhibits the uncertainty below &#xb1;9.5 &#xb5;m, achieving the precision of 3.57 &#xb5;m at 1 s and 202&#xa0;nm at 50 s. Additionally, we conduct outdoor measurements at &#x223c;270 m and non-line-of-sight imaging. Multi-soliton ranging outperforms single-soliton approaches in precision, speed and efficiency, creating new opportunities in communications, spectroscopy, and optical time transfer.","url":"https://pubmed.ncbi.nlm.nih.gov/41591208/","authors":["Zhi J","Guo X","Yang X","Little BE","Chu ST","Shao C","Wang M","Liang Y","Xie P","Wang W","Wu H"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2026 Feb","doi":"10.1002/advs.202516806","addedAt":"2026-08-31T06:40:02.907Z","updatedAt":"2026-08-31T06:40:02.907Z"},{"id":"pmid:41590928","name":"FF-Mamba-YOLO: An SSM-Based Benchmark for Forest Fire Detection in UAV Remote Sensing Images.","source":"pubmed","abstract":"Timely and accurate detection of forest fires through unmanned aerial vehicle (UAV) remote sensing target detection technology is of paramount importance. However, multiscale targets and complex environmental interference in UAV remote sensing images pose significant challenges during detection tasks. To address these obstacles, this paper presents FF-Mamba-YOLO, a novel framework based on the principles of Mamba and YOLO (You Only Look Once) that leverages innovative modules and architectures to overcome these limitations. Specifically, we introduce MFEBlock and MFFBlock based on state space models (SSMs) in the backbone and neck parts of the network, respectively, enabling the model to effectively capture global dependencies. Second, we construct CFEBlock, a module that performs feature enhancement before SSM processing, improving local feature processing capabilities. Furthermore, we propose MGBlock, which adopts a dynamic gating mechanism, enhancing the model's adaptive processing capabilities and robustness. Finally, we enhance the structure of Path Aggregation Feature Pyramid Network (PAFPN) to improve feature fusion quality and introduce DySample to enhance image resolution without significantly increasing computational costs. Experimental results on our self-constructed forest fire image dataset demonstrate that the model achieves 67.4% mAP@50, 36.3% mAP@50:95, and 64.8% precision, outperforming previous state-of-the-art methods. These results highlight the potential of FF-Mamba-YOLO in forest fire monitoring.","url":"https://pubmed.ncbi.nlm.nih.gov/41590928/","authors":["Guo B","Liu D","Shen Z","Wang T"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2026 Jan 13","doi":"10.3390/jimaging12010043","addedAt":"2026-08-31T06:40:02.907Z","updatedAt":"2026-08-31T06:40:02.907Z"},{"id":"pmid:41588159","name":"Automated weed segmentation with knowledge based labeling for machine learning applications.","source":"pubmed","abstract":"Accurate classification of landscape features is essential for precision agriculture, supporting targeted practices such as weed control and variable-rate applications. Although machine and deep learning models show strong promise for real-time weed detection, they require large labelled datasets, which are costly and time-consuming to produce. This study develops and evaluates an automated feature-labelling workflow using eCognition (v9.5) for Unmanned Aerial Vehicle (UAV) RGB imagery. The workflow was tested on a&#x2009;~&#x2009;2000&#xa0;m&#xb2; research field at the University of Saskatchewan using high-resolution imagery (0.088&#xa0;cm). The field contained strips of kochia, wild oat, wild mustard, and false cleavers seeded between wheat rows. The workflow combines multiple spatial algorithms, including segmentation, line detection, distance mapping, convolution filtering, morphological operations, and thresholding. Vegetation indices such as the Colour Index of Vegetation and Excess Green Index effectively separated crops and weeds from soil. Using randomly distributed labelling points and a confusion matrix, the workflow achieved 87% overall accuracy (kappa&#x2009;=&#x2009;0.81) without manual training labels. This automated workflow demonstrates strong potential for accelerating dataset creation for machine learning and deep learning applications, reducing manual effort while maintaining accuracy. Future work will focus on improving its transferability across fields, dates, and experimental conditions.","url":"https://pubmed.ncbi.nlm.nih.gov/41588159/","authors":["Ha T","Aldridge K","Johnson E","Shirtliffe SJ","Fernando H","Nketia K"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2026 Jan 26","doi":"10.1038/s41598-026-37475-1","addedAt":"2026-08-31T06:40:02.907Z","updatedAt":"2026-08-31T06:40:02.907Z"},{"id":"pmid:41580486","name":"An improved UAV image object detection algorithm combining multi-scale feature fusion and receptive-field attention-based convolution.","source":"pubmed","abstract":"Unmanned Aerial Vehicle (UAV) image object detection plays a crucial role in various fields. However, compared with natural images, UAV images are characterized by significant target scale variations, complex backgrounds, dense small targets, and clustered target distributions, which pose serious challenges to object detection tasks. To address these issues, this study proposes an improved object detection algorithm named MFRA-YOLO, which combines multi-scale feature fusion and receptive-field attention-based convolution, built upon the baseline YOLOv8n algorithm. First, Monte Carlo attention is integrated into receptive-field attention-based convolution to enhance cross-scale information interaction capability, thereby forming a novel convolutional module for downsampling operations. Second, a multi-scale selective fusion module is incorporated into the feature fusion network to enable adaptive cross-scale integration of features. When coupled with the scale sequence feature fusion module, this integration significantly enhances the detection performance for small targets. Finally, the Focaler-PIoUv2 loss function is designed to replace the CIoU in the baseline algorithm. This replacement allows the algorithm to better balance hard and easy samples and improve detection accuracy. Experimental results on the public dataset VisDrone2019 show that MFRA-YOLO achieves superior accuracy-efficiency tradeoffs compared to the baseline YOLOv8n and other YOLO variants. Compared to YOLOv8n, MFRA-YOLO improves mAP50 by 3.5% and mAP50:95 by 2.3%, respectively. These performance gains are accompanied by only modest increases in parameter count and computational cost. Notably, while maintaining performance at 143 FPS, thereby satisfying the real-time deployment requirements for UAVs. Furthermore, compared with several state-of-the-art algorithms designed for UAV scenarios, MFRA-YOLO also offers distinct advantages. To verify the generalization ability and stability of MFRA-YOLO, comparative experiments are carried out on the RSOD dataset, where our algorithm consistently demonstrates excellent detection performance. Overall, these results confirm that MFRA-YOLO not only improves the detection performance for UAV imagery substantially but also achieves an excellent balance between detection accuracy and efficiency.","url":"https://pubmed.ncbi.nlm.nih.gov/41580486/","authors":["Dong F","Gui B","Wang W","Fan W","Liu Q"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2026 Jan 24","doi":"10.1038/s41598-025-34711-y","addedAt":"2026-08-31T06:40:02.907Z","updatedAt":"2026-08-31T06:40:02.907Z"},{"id":"pmid:41578157","name":"UAV-Based Hyperspectral Imaging Bridges the Spatial Gap in Pollution Source Identification.","source":"pubmed","abstract":"Accurate localization and quantification of pollution sources are critical for effective air quality management, yet existing monitoring technologies struggle to resolve emission hotspots beneath clouds or bridge the spatial gap between satellite and ground-based observations. Here, we present an unmanned aerial vehicle (UAV)-based hyperspectral imaging system that overcomes these limitations by combining meter-scale spatial resolution and 20-30 min temporal resolution to directly pinpoint and quantify pollutant outfalls from industrial facilities. To address UAV remote sensing challenges&#x2500;including payload constraints, low spectral signal-to-noise ratios (SNR), surface albedo variability, and turbulent-induced observation shifts&#x2500;we developed: (1) a lightweight hyperspectral payload optimized for UAV deployment; (2) enhanced SNR module for ground-level pollutant detection; (3) a robust air mass factor correction accounting for surface heterogeneity; (4) stabilized observation angles under atmospheric turbulence. Validation against mobile differential optical absorption spectroscopy (DOAS) demonstrated strong agreement ( R = 0.94 for NO 2 ). Unlike satellites, our technology captures subcloud pollution plumes and identifies high-emission facilities, effectively bridging the observational gap between orbital and ground monitoring. This technology will facilitate the refinement of regional emission models, leveraging its strengths in scalability and precise source identification to drive a paradigm shift in pollution control.","url":"https://pubmed.ncbi.nlm.nih.gov/41578157/","authors":["Xing C","Peng H","Zou T","Song Y","Liu C"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2026 Feb 24","doi":"10.1021/acs.analchem.5c06398","addedAt":"2026-08-31T06:40:02.907Z","updatedAt":"2026-08-31T06:40:02.907Z"},{"id":"pmid:41559401","name":"A collaborative multi-attention network for real-time small object detection in UAV imagery.","source":"pubmed","abstract":"To address the challenges of detecting small objects in unmanned aerial vehicle (UAV) imagery, such as weak feature representation, complex background interference, and high real-time requirements, this paper proposes a Collaborative Multi-Attention Network (CMA-Net) for real-time small object detection. The network incorporates an efficient bi-directional feature pyramid structure (E-BiFPN) to achieve multi-scale weighted feature fusion while minimizing parameter count and computational cost. A Dual-Dimensional Channel Attention (DDCA) module is further introduced, which adaptively recalibrates channel significance along the width and height dimensions, capturing long-range dependencies and improving spatial sensitivity. Additionally, a Multi-Scale Foreground Attention (MSFA) module is designed to explore inter-object correlations across different feature layers, enhancing foreground representation, suppressing background interference, and improving feature discriminability for small objects. By integrating E-BiFPN, DDCA, and MSFA, CMA-Net achieves collaborative feature enhancement and significantly boosts overall discriminative power. Experimental results demonstrate that the proposed method achieves accuracies of 67.2% and 62.0% on the public UAVDT and Stanford Drone datasets, respectively, while operating at 64 frames per second, meeting real-time inference requirements.","url":"https://pubmed.ncbi.nlm.nih.gov/41559401/","authors":["Yang J","Yue X","Wu L"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2026 Jan 20","doi":"10.1038/s41598-026-36440-2","addedAt":"2026-08-31T06:40:02.907Z","updatedAt":"2026-08-31T06:40:02.907Z"},{"id":"pmid:41559312","name":"A UAV RGB dataset and method for instance tree crown segmentation for biodiversity monitoring.","source":"pubmed","abstract":"The use of UAVs (Unmanned Aerial Vehicles) equipped with cameras has emerged as a promising approach due to its efficiency and accuracy in assessing biodiversity. Tree instance segmentation plays a crucial role in UAV image analysis, serving as a foundational step for subsequent tasks such as species identification. However, instance segmentation of trees from UAV images presents significant challenges, especially in dense forest environments. This leads to severe ambiguity in determining instance boundaries. Rather than directly segmenting entire tree crowns&#x2014;which often fails under such challenging conditions&#x2014;we adopt a deliberate over-segmentation strategy based on a contour detection network. Subsequently, the contours are merged to produce more accurate segmentation results. These ideas are integrated into the first contribution of the paper: TreeCoG - a method for instance-level tree crown segmentation from UAV-captured RGB images. TreeCoG consists of three main steps: (1) contour extraction, (2) contour feature extraction and representation, and (3) contour merging. The first step extracts contour candidates from UAV images, while the second and the third steps construct a graph from these contours and employ a Graph Convolutional Network (GCN) to merge them into instances. The second contribution of this paper is a new image dataset, ForestSeg, collected using UAVs in dense tropical forests of Vietnam in multiple seasons. The ForestSeg dataset is composed of four subsets&#x2014;ForestSeg-T1, ForestSeg-T2, ForestSeg-T3, and ForestSeg-T4 comprising a total of 2,944 annotated images. These subsets were acquired at different time periods and flight altitudes, thereby capturing variations in tree appearance and supporting robust evaluation of instance tree crown segmentation methods. This dataset enables the analysis of temporal variations in tree characteristics and serves as a valuable resource for evaluating the robustness of segmentation methods under varying tree appearances over time. We conduct extensive experiments to assess the contribution of each component of TreeCoG and compare our approach with the state-of-the-art methods on two datasets: our self-collected dataset, ForestSeg, and the BAMFORESTS dataset. Experimental results demonstrate the superior performance of TreeCoG in tree instance segmentation, achieving 57.01% AP, 62.21% AP@50, and 55.32% AP@70 on the ForestSeg dataset, and 53.21% AP, 73.14% AP@50, and 43.23% AP@70 on the BAMFORESTS dataset, respectively. These results confirm the effectiveness of the proposed method in accurately delineating individual tree instances.","url":"https://pubmed.ncbi.nlm.nih.gov/41559312/","authors":["Do MVH","Phung DT","Pham HDL","Pham QD","Hoang VN","Hoang VS","Vlaminck M","Luong H","Tran TH","Vu H","Le TL"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2026 Jan 20","doi":"10.1038/s41598-026-36541-y","addedAt":"2026-08-31T06:40:02.907Z","updatedAt":"2026-08-31T06:40:02.907Z"},{"id":"pmid:41557527","name":"The role of the medio-ventral occipital cortex in sleep deprivation-induced attention impairments: investigating brain networks and regional topology.","source":"pubmed","abstract":"To investigate the neural mechanisms underlying the decline in alert attention performance following sleep deprivation (SD) using functional connectivity and graph theoretical analysis and identify potential intervention targets.","url":"https://pubmed.ncbi.nlm.nih.gov/41557527/","authors":["Ouyang A","Dong Q","Wu L","Lin X","He W","Wang L","Diao X","Zhu Y","Zeng LL","Peng J","Fang P","Jiang J","Zhang T"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2026 Jan 20","doi":"10.1080/01616412.2025.2612308","addedAt":"2026-08-31T06:40:02.907Z","updatedAt":"2026-08-31T06:40:02.907Z"},{"id":"pmid:41544386","name":"Helical morphology-inspired bistable gripper for UAV upward perching and grasping in field environment.","source":"pubmed","abstract":"There is a growing interest in unmanned aerial vehicles (UAVs) being able to perch onto objects, which expands their scope of applications. Many perching strategies are inspired by natural organisms, including birds, insects, and helical morphologies such as tendrils and tails. Inspired by these helical structures, a bistable hybrid gripper is developed that enables a quadcopter to perch on branches and perform aerial grasping. The gripper integrates a bistable steel shell (BSS) as the stiff element, analogous to skeletal support, with a soft 3D-printed helical exoskeleton, analogous to muscular compliance, to achieve both structural strength and adaptability. This hybrid design not only enables conformal wrapping and high load capacity but also allows the UAV to grasp without continuous energy input due to its bistable mechanism. Static models are established to predict the pneumatic transition pressure between the two states, and the results are validated experimentally. Furthermore, the holding and grasping forces, along with robustness against tilt and rotation offsets, are systematically characterized, confirming adaptability to branches with varying diameters and orientations. Experimental demonstrations confirm that UAVs equipped with the gripper can reliably perch on tree branches and perform aerial grasping in realistic field environments.","url":"https://pubmed.ncbi.nlm.nih.gov/41544386/","authors":["Yin X","Wen S","Xie J","Hu H"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2026 Jan 30","doi":"10.1088/1748-3190/ae39be","addedAt":"2026-08-31T06:40:02.907Z","updatedAt":"2026-08-31T06:40:02.907Z"},{"id":"pmid:41539908","name":"Fixed-time safety tracking control of QUAV under external disturbances using robust high-order time-varying control barrier function.","source":"pubmed","abstract":"This study proposes a robust fixed-time safety control scheme for a quadrotor unmanned aerial vehicle (QUAV) operating in environments with obstacles and external disturbances. Firstly, a robust high-order time-varying control barrier function (R-HO-TV-CBF) is designed as an obstacle avoidance constraint. This method achieves robustness without relying about any prior assumptions on the bounds of the disturbance and its derivative, effectively handles dynamic obstacle avoidance, suppresses oscillation and ensures optimal trajectory tracking. Subsequently, a nonsingular fixed-time sliding mode control (NFxSMC) method is developed to guarantee fixed-time convergence, independent of the initial state. Finally, simulation results demonstrate the superior performance of the proposed scheme in obstacle avoidance, disturbance rejection and error convergence.","url":"https://pubmed.ncbi.nlm.nih.gov/41539908/","authors":["Duo L","Yin H","Fu P","Li A"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2026 Feb","doi":"10.1016/j.isatra.2026.01.014","addedAt":"2026-08-31T06:40:02.907Z","updatedAt":"2026-08-31T06:40:02.907Z"},{"id":"pmid:41536303","name":"High-efficiency and flexible organic solar modules with promising applications in solar-extended unmanned aerial vehicles.","source":"pubmed","abstract":"Organic solar cells (OSCs) offer unique advantages like flexibility and lightweight design, making them suitable for solar-extended unmanned aerial vehicles (SUAVs). However, conventional transparent electrodes limit their performance due to high sheet resistance. To address this, a flexible, transparent electrode with ultra-low sheet resistance (&lt;1&#xa0;&#x3a9;/&#x25a1;) and 90% transmission was developed. Utilizing non-halogenated solvent processing and slot-die coating, a 1&#xa0;cm 2 single cell achieved 17.12% (certified 16.88%) power conversion efficiency (PCE), while a 42&#xa0;cm 2 module achieved 15.60%. Stability tests showed unencapsulated devices retained 90% efficiency after 1080&#xa0;h (ISOS-D-1) and 97% after 1000 bending cycles. SUAVs equipped with the flexible OSC modules, combined with a lithium battery and power management system, demonstrated a flight time extension of 24.2%. Outdoor testing confirmed reliable sensor performance and data transmission. This study validates flexible OSCs for SUAV applications, advancing renewable energy solutions in lightweight mobile systems.","url":"https://pubmed.ncbi.nlm.nih.gov/41536303/","authors":["Tian C","Zhang H","Zhang Z","Wang C","Deng D","Qiu D","Tao J","Amin K","Peng K","Li J","Wang T","Wang Y","Zhang J","Wei Z"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2026 Jan","doi":"10.1093/nsr/nwaf519","addedAt":"2026-08-31T06:40:02.907Z","updatedAt":"2026-08-31T06:40:02.907Z"},{"id":"pmid:41535711","name":"kNDVI reveals vegetation dynamics and hydro-edaphic controls in inner Mongolia (2000-2024).","source":"pubmed","abstract":"Dryland vegetation underpins ecosystem services and livelihoods. Understanding the influencing factors of its dynamics is critical for effective restoration and degradation risk reduction. Most assessments still rely on unvalidated vegetation indices, assume monotonic trends over a single period, and use coarse attribution approaches that blur the respective roles of climate, soil&#x2013;water conditions, and land use. This paper verifies NDVI (Normalized Vegetation Index) and kNDVI (Kernel Normalized Vegetation Index) using unmanned aerial vehicle (UAV) observation data. The temporal and spatial changes of vegetation in Inner Mongolia from 2000 to 2024 and the driving mechanisms of climate-soil-groundwater and land use were analyzed by using the sequence Mann-Kendall mutation test, the trend analysis of Theil-Sen (Theil-Sen)&#x2009;+&#x2009;MK (Mann-Kendall), and the Hurst index, pixel-wise correlations and a Geodetector model. Main findings: (1) compared with NDVI, kNDVI better identifies low-cover/poor-growth areas; (2) vegetation shows a fluctuating upward trend (slope&#x2009;&#x2248;&#x2009;0.0034 yr&#x207b;1) with a mean kNDVI of 0.255, and a northeast-to-southwest decline in greenness with peaks in Hulunbuir; (3) vegetation conditions improved over 77.29% of the region (mainly in the northeast) and degraded over 22.71% (chiefly central&#x2013;eastern); Theil&#x2013;Sen slope estimator combined with the Hurst exponent indicates kNDVI is likely to increase over most areas, with ~&#x2009;10.65% showing a declining tendency; (4) groundwater depth and precipitation are the principal natural drivers of interannual fluctuations, with groundwater showing the strongest association (up to r&#x2009;=&#x2009;0.95, p&#x2009;&lt;&#x2009;0.01). In contrast, spatial heterogeneity is mainly shaped by soil nutrients, land use, and topography, among which total nitrogen provides the highest explanatory power (q&#x2009;=&#x2009;0.41). Overall, the results underscore the central role of groundwater and soil conditions, calling for restoration strategies that integrate water management and land-use planning.","url":"https://pubmed.ncbi.nlm.nih.gov/41535711/","authors":["Dong F","Qin F","Zhang T","Dong X","Wu Y","Guo Z"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2026 Jan 14","doi":"10.1038/s41598-026-35762-5","addedAt":"2026-08-31T06:40:02.907Z","updatedAt":"2026-08-31T06:40:02.907Z"},{"id":"pmid:41535065","name":"A UAV-based assessment for alpine meadows micro-patch pattern: Spatial scale thresholds and landscape indices extraction.","source":"pubmed","abstract":"The spatial configuration of alpine meadow micro-patches (&lt;5 m 2 ) on the Qinghai-Tibet Plateau (QTP) serves as a critical indicator for early warning of ecological degradation. While unmanned aerial vehicle (UAV) remote sensing enables micro-patch detection, two methodological challenges persist: unclear response thresholds of landscape indices to spatial extent variations and diminished ecological interpretability due to redundancy in multidimensional indices. This study develops a novel scale-adaptive framework integrating spatial extent effect analysis with principal component analysis-driven (PCA-driven) dimensionality reduction. Based on 34 landscape indices derived from UAV imagery (0.02-m resolution), we systematically quantified sensitivity thresholds through spatial autocorrelation-heterogeneity trade-off analysis across 2-50-m spatial extents. The results showed that (1) Six critical indices, including number of patches (NP) and mean patch size (AREA_MN), exhibited significant sensitivity to spatial extent variations. The spatial extent effect curves identified 10-21-m as the optimal domain, with 17-m spatial extent optimally balancing spatial autocorrelation and heterogeneity. (2) PCA reduced dimensionality to three factors (area-based aggregation, spatial shape, and edge-separation features), explaining 84% cumulative variance. Four indices-AREA_MN, mean patch euclidean nearest neighbor distance (ENN_MN), perimeter-area fractal dimension (PAFRAC), and mean patch fractal dimension (FRAC_MN)-were identified as key characterization indices, establishing an early-warning diagnostic system for degradation. This framework provides a replicable protocol for micro-patch dynamics monitoring in fragile ecosystems, supporting targeted restoration policies on the QTP and analogous regions.","url":"https://pubmed.ncbi.nlm.nih.gov/41535065/","authors":["Yin J","Liu X","Chen J","Cheng Q","Cheng X","Li J","Li H","Li X","Huang Q","Han X","Yi S"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2026 Jan","doi":"10.1002/eap.70171","addedAt":"2026-08-31T06:40:02.907Z","updatedAt":"2026-08-31T06:40:02.907Z"},{"id":"pmid:41532287","name":"Dynamics of spray deposition pattern with UAV-based herbicide application for effective weed management in sugarcane crop.","source":"pubmed","abstract":"Sugarcane productivity is severely constrained by weeds, which reduce yield by 12.0-83.0%, impair crop quality, and harbour pests and diseases. This study was designed to analyze the dynamics of spray deposition pattern of a UAV-based herbicide spraying system for efficient weed management in sugarcane compared to manual knapsack sprayer as a control. The experiment was conducted using a split-plot design with two herbicide combinations as main plots, and evaluating three UAV flight speed and three heights of spray application as sub-plots with three replications.","url":"https://pubmed.ncbi.nlm.nih.gov/41532287/","authors":["Modi RU","Kancheti M","Singh VP","Singh AK","Singh MK","Viswanathan R","Singh D"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2026 Aug","doi":"10.1002/ps.70539","addedAt":"2026-08-31T06:40:02.907Z","updatedAt":"2026-08-31T06:40:02.907Z"},{"id":"pmid:41526657","name":"An improved PSO-ABC path planning algorithm for UAVs based on a construction of urban airspace topology with actual GIS data.","source":"pubmed","abstract":"In this paper, an improved particle swarm optimization - artificial bee colony (PSO-ABC) path planning algorithm for unmanned aerial vehicle (UAV) operations based on a construction of urban airspace topology is proposed. A mechanism is introduced first to build an airspace topology by assessing the feasibility of specified urban airspace. In this mechanism, a complete urban airspace is discretized into many voxels and two indexes are incorporated which are urban airspace availability and urban ground risk. The former is quantified by analyzing the connectivity of urban voxels focusing on impacts of urban buildings and other features. The latter uses an existing risk estimation model to generate an risk map that describes ground risk distributions imposed by UAV operations. According to these two indexes, the feasibility of the airspace is evaluated by a quadrant analysis and a Pareto sorting successively to produce an airspace topology with the real urban GIS data. In this constructed airspace topology, by considering the safety levels of ground areas, performance constraints of UAVs and no-fly zones defined in the city, a global and local search strategy is proposed by fusing two heuristic algorithms, which are PSO for a global search and ABC algorithm for a local search. An improved PSO-ABC planning algorithm for UAV operations is formed using an urban airspace topology. An urban area in Changqing District, Jinan City is taken as the experimental scenario to carry out simulation analysis. The experimental results show that the performances of the proposed algorithm is the best of all with high path smoothness and fast convergence speed. The proposed method significantly improves both the stability and robustness of the path planning solution.","url":"https://pubmed.ncbi.nlm.nih.gov/41526657/","authors":["Liu Y","Dong H","Liu H","Li H","Zhang W"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.1038/s41598-026-35958-9","addedAt":"2026-08-31T06:40:02.907Z","updatedAt":"2026-08-31T06:40:08.030Z"},{"id":"pmid:41520066","name":"Understanding the efficacy and efficiency of thermal infrared UAV for wildlife monitoring.","source":"pubmed","abstract":"Biodiversity conservation requires rigorous wildlife assessments, and uncrewed aerial vehicles (UAVs) equipped with thermal infrared (TIR) cameras offer a promising tool for surveying large mammals. Despite growing use, formal comparisons of UAV survey methodologies remain limited. We evaluated manual versus programmed flight methods and conducted an orthomosaic trial in Chitwan National Park, Nepal, in May 2022, performing six flights per method across four Terai grassland sites. We compared wildlife counts, survey effort (flight length, duration, number of images, and post-processing requirements), and issues regarding image overlap. Manual flights required 35&#xa0;min on average, covered 6370&#xa0;m, and generated 86 images per flight, whereas programmed flights averaged 66&#xa0;min, 9360&#xa0;m, and 205 images, representing increases of 57% in flight time, 47% in distance, and 138% in image volume for programmed surveys. There was no significant difference in total mammal counts (P&#x2009;=&#x2009;0.781) or for specific groups such as deer (P&#x2009;=&#x2009;0.181) and rhinos (P&#x2009;=&#x2009;0.515) between the manual and programmed flights. However, manual flights yielded imagery that was better suited for species identification. Both approaches were influenced by observer bias, either in real-time species identification during manual flights or post-processing for programmed flights. Our results highlight that for our study area and species of interest, manual UAV flights were able to reduce survey effort while maintaining comparable detection rates and improving species identification. Orthomosaic processing, using both direct georeferencing and Structure-from-Motion, proved largely ineffective for thermal imagery of mobile mammals, as moving animals were often excluded due to image overlap requirements. The study also offers guidance for designing UAV-based wildlife monitoring programs, highlighting the potential of AI, video, and advanced sensors, as well as important limitations to consider before conducting surveys.","url":"https://pubmed.ncbi.nlm.nih.gov/41520066/","authors":["Bohnett E","Lamichanne BR","Chaudhary S","Pokhrel K","Coulter L","Dormann G","Flores A","Lewison RL","Qiu F","Stow D","An L"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2026 Jan 11","doi":"10.1007/s10661-025-14891-w","addedAt":"2026-08-31T06:40:02.907Z","updatedAt":"2026-08-31T06:40:02.907Z"},{"id":"pmid:41507945","name":"Pathogen-microenvironment-responsive and antioxidant-buffered propiconazole nanofungicide for safe and effective fungal disease control.","source":"pubmed","abstract":"Although fungicide application via unmanned aerial vehicle (UAV) is increasingly used and has proven effective, concentrated deposition of fungicides can lead to phytotoxicity. Here, we developed Pro@CS/PQ, a nanofungicide comprising a chitosan (CS) core loaded with propiconazole (Pro) and a pectin&#x2013;quercetin conjugate (PQ) shell. This dual-functional platform combines on-demand release with antioxidant buffering. Pro@CS/PQ released propiconazole more rapidly under acidic or pectinase-rich conditions, reaching 87.4% cumulative release within 72&#xa0;h. Quercetin simultaneously protects plant tissues from oxidative stress and maintains redox homeostasis under excessive fungicide exposure. Compared with propiconazole emulsifiable concentrate (Pro EC), Pro@CS/PQ showed enhanced antifungal activity against Rhizoctonia solani, Fusarium fujikuroi, Botrytis cinerea, and Magnaporthe oryzae. In detached rice leaves infected with R. solani, Pro@CS/PQ at 50&#xa0;mg&#xb7;L&#x207b;&#xb9; achieved protective and curative efficacies of 85.8% and 70.8%, which were significantly higher than those of Pro EC. Pro@CS/PQ also exhibited improved foliar adhesion, maintaining over 60% leaf retention after water washing, approximately twice the retention of Pro EC. At concentrations up to four times the recommended rate, Pro@CS/PQ caused no visible phytotoxicity, whereas Pro EC induced severe leaf damage at half that concentration. Metabolomic analysis confirmed that Pro@CS/PQ mitigated propiconazole-induced metabolic perturbations and preserved homeostasis of key metabolic pathways involving amino acids, carbohydrates, and pyrimidines. This work offers a promising solution for safe and effective application of triazole fungicides.","url":"https://pubmed.ncbi.nlm.nih.gov/41507945/","authors":["Shi X","Zhang Q","Chang X","Wang T","Tian F","Li X","Gu A","Liu X","Liu P"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2026 Jan 8","doi":"10.1186/s12951-025-04005-6","addedAt":"2026-08-31T06:40:02.907Z","updatedAt":"2026-08-31T06:40:02.907Z"},{"id":"pmid:41495318","name":"Learning enhanced scheduling and resource allocation for heterogeneous UAV swarms in edge assisted remote sensing.","source":"pubmed","abstract":"Large-scale 3D mapping and high-resolution remote sensing are essential for environmental monitoring, disaster assessment, and urban planning. Heterogeneous unmanned aerial vehicle (UAV) swarms, equipped with complementary sensing and onboard edge computing capabilities, offer efficient, adaptive, and resource-aware operations. However, achieving complete spatial coverage, ensuring sensing relevance, and optimizing both communication and computational resources remain challenging under dynamic and complex conditions. This paper proposes an energy- and resource-aware cooperative framework, DMMP-PR-TSA, which integrates remote sensing data-driven region partitioning, improved self-organizing map (SOM)-based intelligent pre-assignment, priority-aware dynamic task reallocation (PR), and reinforcement learning (RL)-based task sequence adjustment (TSA). The framework jointly optimizes spatial path planning for sensing tasks and computational resource allocation for edge processing and collaborative task execution, while embedding priority handling to meet deadlines for critical missions. Compared with baseline algorithms, DMMP-PR-TSA demonstrates [Formula: see text] higher completion rates in large-scale missions, [Formula: see text] improvement under dynamic fleet changes, and consistently higher success rates for high-priority tasks. Simulation results validate its scalability, robustness, and mission-critical applicability, highlighting its effectiveness in advancing the intelligence and operational efficiency of UAV-based large-scale remote sensing and edge-computing-assisted systems.","url":"https://pubmed.ncbi.nlm.nih.gov/41495318/","authors":["Zhang J","Hu Y","Shao M","Tang Y","Wang L","Li X"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.1038/s41598-025-34497-z","addedAt":"2026-08-31T06:40:02.907Z","updatedAt":"2026-08-31T06:40:08.031Z"},{"id":"pmid:41483671","name":"Spectroscopic analysis reveals an opposite pattern between carnosic and rosmarinic acid concentrations in rosemary (Salvia rosmarinus).","source":"pubmed","abstract":"Carnosic acid (CA) and rosmarinic acid (RA) are the principal secondary metabolites (SMs) of rosemary (Salvia rosmarinus Spenn. - Lamiaceae). Previous studies have examined CA and RA separately. However, their opposing CA and RA concentration trends have not been examined. This study tested the hypothesis that CA (C CA ) and RA (C RA ) concentrations exhibit an opposite pattern that can be rapidly and non-destructively spectrally detected using visible-near infrared spectroscopy. Hyperspectral data were acquired using three methods: field-based canopy measurements with a bare-fiber spectrometer, unmanned aerial vehicle (UAV)-borne hyperspectral imagery of the canopy, and laboratory measurements of rosemary leaf powder using a spectrometer with bifurcated-fiber. The datasets were analyzed using one-band correlations and normalized difference spectral indices. Furthermore, to identify wavelengths contributing to the opposite pattern, partial least squares regression coefficients were examined exclusively in rosemary leaf powder, as water absorption bands masked the C RA coefficients in the field-based canopy spectra. First derivatives of the standard CA and RA spectra demonstrated the opposite pattern at certain wavelengths that aligns with our spectral analysis. The opposite patterns between CA and RA are not only subjected to spectral analysis, but for nutrient-SM correlations as well, such as nitrogen correlating positively with C CA but negatively with C RA , and magnesium showing the reverse. Analyses of the hyperspectral data acquired from field grown plants, leaf powder and standard in the lab, together with nutrient-SM correlations,demonstrated the robustness of the opposite pattern. These opposite patterns demonstrated a reliable basis for non-destructive SM dynamics monitoring in rosemary.","url":"https://pubmed.ncbi.nlm.nih.gov/41483671/","authors":["Mishra A","Krief A","Sahoo MM","Schachter A","Gonda I","Dudai N","Trigano T","Herrmann I"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2026 Apr 5","doi":"10.1016/j.saa.2025.127392","addedAt":"2026-08-31T06:40:02.907Z","updatedAt":"2026-08-31T06:40:02.907Z"},{"id":"pmid:41481607","name":"Energy-efficient framework based on optimal antenna selection in S-NOMA supported UAV IoT networks.","source":"pubmed","abstract":"Owing to the high emissions and increased energy consumption of the expanding heterogeneous internet-of-things (IoT) devices across terrestial and non-terrestial networks, achieving the energy sustainability in future IoT networks is the main challenge. This paper presents an energy efficient framework utilising spatial non orthogonal multiple access (S-NOMA) technique in UAV assisted IoT networks. An antenna selection algorithm is proposed that selects a set of active antennas enabling user fairness. The numerical formulations for the air-to-ground communication links in the S-NOMA system is also obtained. Further, the paper proposes a power consumption model for the S-NOMA enabled network to carry out the energy efficiency analysis. The transmit power consumption, circuit power consumption and UAV hovering power is taken into account. The proposed S-NOMA framework with optimal antenna selection is evaluated against conventional NOMA and random schemes. Simulation results demonstrate that S-NOMA achieves superior performance in terms of data rate and energy efficiency. It is observed that at an SNR of 30 dB, the proposed method with achieves a data rate of 15.2 bps/Hz, outperforming conventional NOMA which achieves 6.4 bps/Hz. Also, the energy efficiency improves by 14.4% at transmit power P=25 dBm with the proposed antenna selection scheme over random selection scheme. This improvement is attributed to the enhanced spatial gain and power-aware antenna selection, thus resulting in sustainable UAV IoT networks.","url":"https://pubmed.ncbi.nlm.nih.gov/41481607/","authors":["Soni L","Taneja A","Alqahtani N","Alqahtani A"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.1371/journal.pone.0337759","addedAt":"2026-08-31T06:40:02.907Z","updatedAt":"2026-08-31T06:40:02.907Z"},{"id":"pmid:41475927","name":"Information flow-based UAV flight control adaptive approximate modeling for perturbation generalization.","source":"pubmed","abstract":"Unmanned aerial vehicle (UAV) flight control systems are exposed to diverse security threats, including environmental disturbances, component faults, and cyber-attacks. Existing fault-tolerant control methods lack generalizability in representing such heterogeneous perturbations, particularly adversarial cyber-attacks, due to their reliance on type-specific modeling assumptions. In this study, an Information Flow Metamodel-Based Adaptive Approximate Modeling (IFM-AAM) framework is proposed to address this issue. The framework establishes an Information Flow Metamodel (IFM) as a high-level structural abstraction for approximate modeling. IFM represents heterogeneous perturbations as symbolic anomalies within a unified information flow structure, enabling consistent propagation analysis and impact computation across diverse perturbation sources. The IFM design supports flexible instantiation of domain models (DMs) at appropriate abstraction levels, addressing the computational challenges of modeling densely coupled flight control systems. In addition, a lightweight Actor-Critic reinforcement learning (RL) mechanism is integrated into the instantiated DMs for real-time adaptive tuning of control parameters, further enhancing modeling fidelity under perturbations. Comparative simulations against PX4 Autopilot demonstrate that DMs constructed by IFM-AAM effectively approximate control performance across nominal and diverse perturbation scenarios. These results confirm the effectiveness of our unified representation and propagation analysis for heterogeneous perturbations. Moreover, validations on an onboard computer verify the real-time performance and low computational overhead of DMs.","url":"https://pubmed.ncbi.nlm.nih.gov/41475927/","authors":["Wang R","Li Y","Liu M","Zheng M","Xu X","Zhang T"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2026 Feb","doi":"10.1016/j.isatra.2025.12.045","addedAt":"2026-08-31T06:40:02.907Z","updatedAt":"2026-08-31T06:40:02.907Z"},{"id":"pmid:41475926","name":"Adaptive sliding mode fault-tolerant control of an over-actuated hybrid VTOL fixed-wing UAV under transition flight.","source":"pubmed","abstract":"In this study, an innovative adaptive sliding mode fault-tolerant control approach is developed for an over-actuated vertical takeoff and landing (VTOL) fixed-wing unmanned aerial vehicle (UAV) with the capability to suppress overestimation of adaptive parameters. This method is designed to effectively address model uncertainties and actuator faults without relying on any previous information regarding the specifics of faults or the boundaries of uncertainties. An innovative adaptive sliding mode control (SMC) mechanism is designed which can autonomously adjust to compensate for the unpredictable nature of these challenges, ensuring the stability and reliability of the UAV system under various operational conditions. Taking into account the over-actuated characteristics of the studied VTOL UAV, a control allocation module is further designed to efficiently distribute the control signals produced by the adaptive SMC scheme. It is noteworthy that the designed adaptive control approach can effectively prevent the overestimation of adaptive parameters, thereby reducing the occurrence of undesired control chattering. Finally, the superiority and efficacy of the designed control technique are convincingly illustrated through an extensive range of comparative hardware-in-the-loop simulation tests.","url":"https://pubmed.ncbi.nlm.nih.gov/41475926/","authors":["Wang B","Zhao H","Hu X","Shen Y","Li N"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2026 Feb","doi":"10.1016/j.isatra.2025.12.046","addedAt":"2026-08-31T06:40:02.907Z","updatedAt":"2026-08-31T06:40:02.907Z"},{"id":"pmid:41475059","name":"Comparing AUV and HOV imagery for deep-sea fish biodiversity monitoring: insights from Pioneer Bank, in the Northwestern Hawaiian Islands.","source":"pubmed","abstract":"This study quantitatively compares the observational capabilities of Autonomous Underwater Vehicles (AUVs) and Human-Occupied Vehicles (HOVs) for surveying deep-sea fish assemblages at Pioneer Bank. Standardized 500-m transects from two depth zones (450-500&#xa0;m and 600&#xa0;m) and two seamount sides (NE and S) were analyzed using univariate ecological indices and multivariate PERMANOVA to assess the effects of vehicle type, seamount side, and their interaction. AUV surveys recorded substantially higher species richness, documenting 35 species at 450-500&#xa0;m and 38&#xa0;at 600&#xa0;m (66-77&#xa0;% of expected richness), compared to the HOV's 16 and 24 species (55-69&#xa0;% of expected richness). Univariate PERMANOVA showed significant vehicle effects on species richness, expected richness, Shannon diversity, and Simpson dominance at both depths, with HOV surveys exhibiting higher dominance, especially on the southern side. Multivariate PERMANOVA revealed that assemblage structure was strongly influenced by both vehicle and side, with the full model explaining 72.5&#xa0;% of variation at 450-500&#xa0;m and 73.6&#xa0;% at 600&#xa0;m. At 450-500&#xa0;m, vehicle, side, and their interaction contributed 23.8&#xa0;%, 20.5&#xa0;%, and 28.3&#xa0;% of total variation, respectively; at 600&#xa0;m, side accounted for 26.4&#xa0;%, vehicle 20.1&#xa0;%, and the interaction 27.1&#xa0;%. Pairwise comparisons revealed significant vehicle-driven differences on both sides at 600&#xa0;m. AUVs more effectively detected midwater and benthopelagic taxa such as Neoscopelus macrolepidotus and Symphurus strictus, whereas HOVs uniquely captured structure-associated species on the southern side. Overall, AUV and HOV imagery offer complementary perspectives, and their combined use provides a more complete characterization of deep-sea fish assemblages.","url":"https://pubmed.ncbi.nlm.nih.gov/41475059/","authors":["Mejía-Mercado BE","Baco AR"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2026 Mar","doi":"10.1016/j.marenvres.2025.107815","addedAt":"2026-08-31T06:40:02.907Z","updatedAt":"2026-08-31T06:40:02.907Z"},{"id":"pmid:41472437","name":"In Situ Polymerized Polysiloxane Enables Cohesive Solid-Electrolyte Interphase for Practical Lithium-Metal Batteries.","source":"pubmed","abstract":"The mechanical instability of nanostructured solid-electrolyte interphase (SEI) on lithium (Li)-metal anodes severely limits the cycle life of Li-metal batteries because SEI undergoes endless cracking and regeneration due to anode volume fluctuations. Here, a cohesive SEI nanostructure is proposed to enhance SEI mechanical stability. The inorganic nanoparticles with weak interparticle cohesion in SEI are glued using polysiloxane, in situ formed from hexamethylcyclotrisiloxane (CTS) as an electrolyte additive. This approach strengthens interparticle cohesion of inorganic components, and the elastic modulus of SEI increases by 109%, significantly improving its tolerance to anode volume fluctuations. As a result, Li-metal coin cells with glued SEI exhibit an extended cycle life of 320 cycles, compared with 183 cycles with routine SEI, under practical conditions. Furthermore, a prototype 505&#xa0;Wh&#xa0;kg -1 Li-metal pouch cell with glued SEI achieves 175 cycles. Specifically, the pouch cell with glued SEI exhibits superior high-rate discharge capabilities, as demonstrated by its capacity to power a micro-unmanned aerial vehicle, advancing Li-metal batteries towards practical applications. This work presents a generalizable strategy to in situ reinforcement of SEI for high-energy-density Li-metal batteries.","url":"https://pubmed.ncbi.nlm.nih.gov/41472437/","authors":["Wang YN","Liu Y","Zhang XQ","Sun SY","Li Y","Li JL","Zhang QK","Zheng Z","Feng WJ","Li BQ","Cheng T","Wen R","Huang JQ"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2026 Feb","doi":"10.1002/adma.202519565","addedAt":"2026-08-31T06:40:02.907Z","updatedAt":"2026-08-31T06:40:02.907Z"},{"id":"pmid:41467807","name":"Single-strain and consortium inoculations with plant-beneficial Pseudomonas spp. promote lettuce growth under field conditions.","source":"pubmed","abstract":"Plant-beneficial Pseudomonas spp. can promote plant growth by a wealth of mechanisms. Developing microbial inoculants encompassing multiple Pseudomonas strains (consortia) could represent an attractive solution to some of the problems encountered by single-strain inoculants, such as inconsistent rhizosphere colonization under field conditions. In this study, we evaluated the potential of Pseudomonas protegens B21-024 and Pseudomonas putida B21-029, inoculated alone or in combination, to promote lettuce growth under greenhouse and representative commercial field conditions. Plant growth metrics, including shoot fresh and dry weights, were used to evaluate plant growth promotion. In addition, unmanned aerial vehicle imaging was used to monitor plant growth in the field. Strain-specific primer-probe sets were also developed to study, using the quantitative polymerase chain reaction, the population dynamics of the two strains in rhizosphere soil. P. putida B21-029 and the Pseudomonas consortium significantly increased lettuce shoot fresh/dry weight under greenhouse conditions. In the field, only inoculation with P. protegens B21-024 and the Pseudomonas consortium promoted lettuce growth by significantly increasing shoot dry weight. Interestingly, the nitrogen-rich bacterial growth medium used to prepare the inocula played a role in the plant growth promotion achieved. Overall, the rhizosphere population of both Pseudomonas strains remained relatively stable during the growing season. However, the population of P. protegens B21-024 was significantly higher when it was co-inoculated with P. putida B21-029 than when inoculated alone, suggesting the existence of a beneficial relationship. These findings support the use of Pseudomonas consortia to promote the growth of leafy greens under field conditions.IMPORTANCESome bacteria belonging to the genus Pseudomonas can establish mutually beneficial relationships with many crop species, resulting in disease suppression and/or plant growth promotion. These microorganisms show potential to replace, at least in part, synthetic fertilizers and pesticides in agricultural field settings. While some Pseudomonas strains have been shown to promote lettuce growth, successfully developing Pseudomonas consortia would have many advantages over single-strain inoculations, including better effectiveness and rhizosphere colonization. In this study, a consortium encompassing two Pseudomonas strains successfully promoted lettuce growth under greenhouse and field conditions. The nitrogen-rich bacterial growth medium used for the preparation of inocula contributed to the plant growth promotion achieved. Strain-specific molecular markers were also developed to monitor the abundance of each strain in rhizosphere soil throughout the growing season. The results obtained in this study indicate that the two Pseudomonas strains under study successfully colonized the lettuce rhizosphere.","url":"https://pubmed.ncbi.nlm.nih.gov/41467807/","authors":["Biessy A","Cadieux M","Mc Duff F","Deshaies A","Khun K","Lafond-Lapalme J","Vigneault P","Filion M"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2026 Feb 3","doi":"10.1128/spectrum.03509-25","addedAt":"2026-08-31T06:40:02.907Z","updatedAt":"2026-08-31T06:40:02.907Z"},{"id":"pmid:41412859","name":"Robust multi-step interval observer via convex LMIs with applications to UAV and BMS.","source":"pubmed","abstract":"Accurate state estimation is essential in safety-critical systems yet remains challenging under unknown but bounded uncertainties. Conventional point observers, such as Kalman or Luenberger designs, often produce fragile estimates that degrade in the presence of disturbances and modeling errors. Interval observers (IOs), in contrast, enclose the true trajectories within clearly defined upper and lower bounds, providing guaranteed robustness, resilience to uncertainty, and formal safety assurances beyond what traditional methods can offer. This paper proposes a robust multi-step interval observer (IO) for discrete-time systems that combines a predictive structure with convex linear matrix inequality (LMI) design to deliver certified bounds with improved reliability and efficiency. The key innovation is a q-step predictive structure that aggregates system dynamics over a selectable horizon to enhance accuracy, disturbance rejection, and delay resilience. Observer gains are computed via a single convex LMI, ensuring non-negative error dynamics without coordinate transformations or iterative tuning. The effectiveness of the proposed framework is demonstrated on two challenging applications: a non-minimum phase (NMP) unmanned aerial vehicle (UAV) subject to wind disturbances and model mismatch, and a Lithium-ion battery management system (BMS) performing state-of-charge (SOC) estimation under sinusoidal load variations. In both cases, the proposed IO achieves tighter interval bounds (&#xb1;0.1 % vs. &#xb1;2.5 %), faster convergence and reduced computation. These results confirm that the proposed method is computationally efficient, scalable and applicable for real-time deployment. The proposed IO framework opens promising new directions for IO design in aerospace, automotive and energy systems.","url":"https://pubmed.ncbi.nlm.nih.gov/41412859/","authors":["Khan A","Wang W","Rauf A","Ilyas M","Bai X","Zhang B"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2026 Feb","doi":"10.1016/j.isatra.2025.12.011","addedAt":"2026-08-31T06:40:02.907Z","updatedAt":"2026-08-31T06:40:02.907Z"},{"id":"pmid:41404993","name":"Lab-on-a-Drone: Real-Time Electrochemical Sensing of Nitrate in Agricultural Watersheds.","source":"pubmed","abstract":"Excess nitrate (NO 3 - ) leaching from agricultural lands degrades water quality and contributes to algal blooms and hypoxic zones in surface waters, such as streams, lakes, and ocean bays. Monitoring of NO 3 - from agricultural watersheds is critical for optimizing fertilizer use and evaluating nutrient retention strategies. However, monitoring water quality in agricultural streams&#x2500;particularly at subsurface tile drain outlets, which serve as major conduits for nitrate leaching from Midwestern U.S. farm fields&#x2500;is often challenging due to rough terrain and shallow waterways. While unmanned aerial vehicles (UAVs) offer mobility to reach these remote sites, commercial systems typically only collect water samples for later testing, limiting real-time environmental assessments. This study presents a lab-on-a-drone platform capable of performing in-flight NO 3 - sensing within 7 min at each sampling site. The system integrates a custom peristaltic pumping mechanism, low-cost electrochemical NO 3 - sensors based on screen-printed carbon electrodes with ion-selective membranes, and a miniaturized open circuit potentiometric (OCP) device, all mounted on a DJI M350 UAV. The NO 3 - sensors demonstrated near-Nernstian sensitivity (-61.4 &#xb1; 0.92 mV dec -1 ) and 94.5&#x202f; &#xb1; &#x202f;1.05% accuracy compared to a commercial benchtop potentiostat, with a detection limit of 40.3 &#x3bc;M (2.50 ppm). The UAV payload, operated via a Bluetooth-enabled ESP32 microcontroller, enables wireless control and data logging. Field tests showed successful NO 3 - quantification in hard-to-reach tile drainage outlets, with concentrations averaging 5.39 &#xb1; 0.62 ppm&#x2500;values consistent with agricultural runoff in Iowa. This UAV-integrated platform improves sampling efficiency, eliminates lab testing, and offers a scalable, cost-effective sensing tool for real-time watershed monitoring.","url":"https://pubmed.ncbi.nlm.nih.gov/41404993/","authors":["Jared NM","Ellis G","Gshash M","Leung EH","Milião GL","Soupir M","Neihart NM","Claussen JC"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2026 Jan 23","doi":"10.1021/acssensors.5c02620","addedAt":"2026-08-31T06:40:02.907Z","updatedAt":"2026-08-31T06:40:02.907Z"},{"id":"pmid:41402193","name":"Molecular crystal memristor-based edge AI platform for energy-efficient and real-time smart grid inspection.","source":"pubmed","abstract":"Vast power grid infrastructure generates enormous volumes of inspection data from smart meters, unmanned aerial vehicle (UAV) patrols, and high-definition video monitoring. Meeting the demand for real-time analysis places stringent requirements on latency, energy efficiency, and on-device intelligence at the edge. Here, we present a molecular crystal memristor-based edge artificial intelligence (AI) hardware platform that can be directly deployed in inspection devices, enabling real-time grid monitoring with drastically reduced computational and storage overheads. The memristor exhibits highly controllable filamentary switching behavior, stable multi-level conductance states, femtowatt-scale power consumption, and outstanding retention. Leveraging these properties, the platform enables fully hardware-integrated convolution, achieving 97% feature-extraction accuracy and 67.75 TOPS/W energy efficiency, thereby substantially alleviating the computational and storage load of cloud servers. This work establishes a scalable and energy-efficient in-memory computing framework for smart grid inspection and provides a powerful foundation for broader edge AI applications.","url":"https://pubmed.ncbi.nlm.nih.gov/41402193/","authors":["Guan P","Qin L","Ning K","Liu J","Ouyang D","Yu Y","Wu J","Lu X","Fu Y","Li Y","Li H","Zhai T"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2026 Feb 28","doi":"10.1016/j.scib.2025.11.062","addedAt":"2026-08-31T06:40:02.907Z","updatedAt":"2026-08-31T06:40:02.907Z"},{"id":"pmid:41388668","name":"A novel point cloud completion model for three-dimensional reconstruction of complex, dynamic population-level crop canopy architecture.","source":"pubmed","abstract":"Quantitative characterization of complete canopy architecture is essential for accurate evaluation of crop photosynthesis and yield potential, thereby supporting crop ideotype design. Although various sensing technologies enable three-dimensional (3D) reconstruction of individual plants and canopies, they often fail to describe canopy architecture accurately because of severe occlusion in dense populations. To address this limitation, we developed an effective framework for the 3D reconstruction of complex and dynamic population-scale canopy architecture in rapeseed using unmanned aerial vehicle multi-view imagery combined with a novel point cloud completion model. A complete point cloud generation pipeline was first established to enable automated training data annotation, allowing discrimination between surface points and occluded points within the canopy. The proposed crop population point cloud completion network (CP-PCN) integrates a multi-resolution dynamic graph convolutional encoder, a point pyramid decoder, a dynamic graph convolutional feature extractor, and a generative adversarial network-based loss function to predict occluded canopy points. CP-PCN achieved chamfer distance values of 3.35 to 4.51 cm across four growth stages, outperforming the state-of-the-art transformer-based method PoinTr. Ablation analyses confirmed that each of the four modules contributes to overall model accuracy. In addition, validation experiments showed that the improved architectural completeness achieved by CP-PCN resulted in more accurate yield estimation compared with incomplete and PoinTr-completed point clouds. CP-PCN also demonstrated strong cross-crop generalizability by successfully reconstructing mature rice canopies. Overall, this framework provides a scalable approach for quantitative analysis of complex canopy architectures in field-grown crops.","url":"https://pubmed.ncbi.nlm.nih.gov/41388668/","authors":["Guo Z","Yang X","Shen Y","Zhu Y","Jiang L","Cen H"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2026 Mar 9","doi":"10.1016/j.xplc.2025.101675","addedAt":"2026-08-31T06:40:02.907Z","updatedAt":"2026-08-31T06:40:02.907Z"},{"id":"pmid:41386023","name":"Modeling interactive crash avoidance behaviors: A multi-agent state-space transformer-enhanced reinforcement learning framework.","source":"pubmed","abstract":"Understanding vehicle-pedestrian interactions at urban intersections is critical for enhancing traffic safety. This study aims to model the interactive crash avoidance behavior of road users in near-miss scenarios, addressing the complexities of their decision-making process. Utilizing high-resolution trajectory data collected by unmanned aerial vehicles (UAV), this study proposed a multi-agent state-space Transformer enhanced deep deterministic policy gradient (MA-SST-DDPG) framework to model the vehicle-pedestrian interactions in near-miss scenarios. The framework integrates the state-space model for capturing long-term temporal dependencies and Transformers for dynamically prioritizing critical features, enhancing its ability to learn from rare safety-critical scenarios. The MA-SST-DDPG framework effectively learned sequential decision-making over continuous action spaces, effectively prioritizing critical states and capturing dynamic interactions in vehicle-pedestrian near-miss scenarios. Compared to alternative approaches, it demonstrated superior performance in simulating realistic evasive behaviors. Cross-dataset evaluation confirmed the generalizability of the proposed model on external datasets. Additionally, we employed the proposed model to generate vehicle-pedestrian interactions under varying combinations of initial speeds. Results showed that the simulated interactions successfully replicated the dynamics of real-world near-miss events. Higher initial vehicle and pedestrian speeds were linked to increased conflict rates. Moreover, pedestrians were more likely to yield when vehicles traveled faster and pedestrians walked slower, whereas slower vehicles tended to yield to faster-moving pedestrians. The outcomes of this study can facilitate the development of safety-aware simulations that closely mimic interactive crash avoidance behaviors of road users, paving the way for exploring proactive measures to prevent crashes.","url":"https://pubmed.ncbi.nlm.nih.gov/41386023/","authors":["Pu Q","Xie K","Guo H","Zhu Y"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2026 Mar","doi":"10.1016/j.aap.2025.108334","addedAt":"2026-08-31T06:40:02.907Z","updatedAt":"2026-08-31T06:40:02.907Z"},{"id":"pmid:41308397","name":"A vine copula-based analysis of spatial dependence of traffic conflict risk at highway ramp areas.","source":"pubmed","abstract":"Understanding spatial dependence on real-time safety risk is crucial for developing effective traffic management and control strategies at highway ramp areas. Prevalent statistical models for spatial analysis of safety risk are limited in their capability to capture complex, non-linear, and asymmetric dependence patterns across multiple locations. In this study, a novel vine copula approach is proposed for the spatial analysis of traffic conflict risk at highway ramp area, allowing for more flexible specification and control of heterogeneous spatial dependence patterns. Specifically, spatial correlations in traffic conflict risk, measured by time-integrated time-to-collision (TIT) across road segments and traffic lanes, are estimated using high-resolution vehicle trajectory data collected from unmanned aerial units. The results reveal significant variations in spatial dependence patterns of traffic conflict risk, particularly asymmetric tail dependencies in high-risk scenarios. These findings underscore the need for advanced statistical models to accommodate spatial dependence in traffic safety analysis, thereby supporting the development and implementation of more effective real-time traffic safety management systems.","url":"https://pubmed.ncbi.nlm.nih.gov/41308397/","authors":["Gu R","Sze NN"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2026 Feb","doi":"10.1016/j.aap.2025.108330","addedAt":"2026-08-31T06:40:02.907Z","updatedAt":"2026-08-31T06:40:02.907Z"},{"id":"pmid:41308265","name":"Optical flow prompts distractor-aware siamese network for tracking autonomous underwater vehicle with sonar and camera videos.","source":"pubmed","abstract":"Underwater moving target tracking with sonar device is very challenging. Due to complex underwater environment, sonar acquired videos have domain-specific challenges like texture-similar backgrounds and variable visual attributes, impairing the performance of existing tracking models. To address these issues, we propose a visual tracking model named OFDTrack to overcome the limitations of existing methods. First, for moving target in sonar videos, a re-capture paradigm is proposed to search potential motion areas from rough prompts of the optical flow field, thus maintaining tracking in the event of target loss. Furthermore, for the variations in visual features, a dynamic update template with constraints is designed, enabling the model to maintain target tracking when significant deformations occur. In order to eliminate the disturbance caused by the wake generated by propellers of Autonomous Underwater Vehicle, an auxiliary tracker is embedded to formulate the motion pattern of moving target and its prediction corrects the deviation caused by abnormal displacement. Finally, in real-world tests, we collect video of the same moving Autonomous Underwater Vehicle in three test scenarios using sonar and camera mounted on Unmanned Aerial Vehicle respectively, and verify the effectiveness and robustness of our method through comparisons with other tracking models.","url":"https://pubmed.ncbi.nlm.nih.gov/41308265/","authors":["Cai W","Zhu J","Zhang M","Liu M"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2026 Apr","doi":"10.1016/j.neunet.2025.108328","addedAt":"2026-08-31T06:40:02.907Z","updatedAt":"2026-08-31T06:40:02.907Z"},{"id":"pmid:41267619","name":"Influence of water temperature, body size, condition and gull-inflicted lesions on heat loss in southern right whales in Península Valdés, Argentina.","source":"pubmed","abstract":"Southern right whales (Eubalaena australis; SRWs) are well adapted to cold waters because of their large body size and thick blubber. Each year, they migrate from high-latitude feeding grounds to warmer breeding grounds where they give birth. To assess thermal benefits of this migration, we modelled the effects of body size, condition and water temperature on heat loss. Using unmanned aerial vehicle photogrammetry at the Pen&#xed;nsula Vald&#xe9;s calving ground in Argentina, we measured body length, volume, condition and surface area of living SRWs. Blubber thickness was predicted from a blubber-mass model and validated using necropsy/catch data. Sensible heat loss was estimated using a model incorporating blubber thermal conductivity and body temperature, whereas respiratory heat loss was based on respiration rate and tidal volume models. We compared heat loss in Pen&#xed;nsula Vald&#xe9;s with that in South Georgia/Georgia del Sur (SG/GS), a key feeding ground. Body size had a strong positive effect on both heat loss values, but mass-specific loss decreased as surface-area-to-volume ratio declined. Increased body condition reduced sensible heat loss. Migration from SG/GS to Pen&#xed;nsula Vald&#xe9;s reduced calf heat loss by 26% during early lactation. However, total heat loss remained low relative to field metabolic rate (FMR), indicating limited thermoenergetic benefit from migration. Only at poor body condition (&lt;-0.35) did heat loss exceed FMR, threatening survival. Notably, gull-inflicted lesions significantly increased heat loss in small and poorly conditioned calves, but had no effect on larger or better-conditioned calves. These findings highlight body condition as a key regulator of heat loss in baleen whales.","url":"https://pubmed.ncbi.nlm.nih.gov/41267619/","authors":["Christiansen F","Sironi M","Lewin N","Marón CF","Uhart MM"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2026 Jan 1","doi":"10.1242/jeb.250925","addedAt":"2026-08-31T06:40:02.907Z","updatedAt":"2026-08-31T06:40:02.907Z"},{"id":"pmid:41266236","name":"Prescribed-time containment control with self-triggering mechanism for multi-UAVs.","source":"pubmed","abstract":"Multiple unmanned aerial vehicles (UAVs) systems can execute complex collective tasks and reduce the risk and operational difficulty of a single UAV. The prescribed-time self-triggering containment control for multiple UAVs with multiple leader UAVs is studied. The control objective is to drive all followers into the convex hull defined by leaders within an arbitrarily specified time via an asynchronous way of communication, while eliminating the need for continuous controller update and communication. Assuming that only a few followers can directly access the information of leaders, a distributed prescribed-time observer is presented to estimate the states of the convex hull within the prescribed time. By introducing auxiliary states, a prescribed-time containment controller is presented to guarantee that the tracking error between the state and convex hull converges to zero within the prescribed time. The developed self-triggering mechanism not only avoids continuous controller update and communication, but also allows for asynchronous communication. Moreover, the self-triggering mechanism removes the requirement for continuous monitoring of neighboring followers' broadcasts. Rigorous theoretical analysis demonstrates that the presented method can achieve prescribed-time containment control without Zeno behavior. Simulation results indicate that the presented method achieves prescribed-time containment control while significantly reducing the communication frequency by 94.86% and the controller update frequency by 92.65%, respectively. Furthermore, hardware experiments verify the practicality of the proposed control algorithm.","url":"https://pubmed.ncbi.nlm.nih.gov/41266236/","authors":["Zhang A","Hou T","Bi W","Huang Z","Feng Q","Han Y"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2026 Jan","doi":"10.1016/j.isatra.2025.10.054","addedAt":"2026-08-31T06:40:02.907Z","updatedAt":"2026-08-31T06:40:02.907Z"},{"id":"pmid:41167978","name":"Meter-Scale UAV Hyperspectral Remote Sensing for Pollution Source Attribution: Dynamic Reference Spectrum Optimization and Surface Albedo Correction.","source":"pubmed","abstract":"We overcome retrieval limitations by introducing a systematic framework that combines UAV-based hyperspectral sensing with dynamic reference spectrum optimization. This study addresses the retrieval accuracy limitations in differential optical absorption spectroscopy (DOAS) for low-altitude unmanned aerial vehicle (UAV) remote sensing under dynamic observation conditions by proposing a systematic innovation framework. We demonstrate the first implementation of quadrotor-based hyperspectral remote sensing for quantitative monitoring of NO 2 and HONO with meter-scale resolution, achieved through a dynamic reference spectrum optimization scheme incorporating a weighted multicriteria scoring model (spectral similarity: 0.35, atmospheric condition matching: 0.25, temporal correlation: 0.20, geometric consistency: 0.15, and noise level: 0.05). This methodology resolves aerosol-surface coupling-induced spectral deviations, reducing NO 2 retrieval errors by 18-24% compared with conventional approaches. Integration of DeepLabV3+ semantic segmentation with hyperspectral imaging enabled dynamic meter-scale surface albedo correction, reducing biases induced by surface heterogeneity in NO 2 vertical column density (VCD) retrievals from 28% to 12%. Field validations at a Hefei coal-fired power plant (detected NO 2 plumes: 2.98 &#xd7; 10 16 molecules/cm 2 ) and Changfeng agricultural fields (captured HONO emissions during fertilization: 9.02 &#xd7; 10 15 molecules/cm 2 ) confirm its ability to dynamically detect pollution events in space and time. The research establishes theoretical and technological foundations for transitioning atmospheric monitoring from \"end-pipe treatment\" to \"process control\", while providing novel tools for microemission source identification and high-resolution pollution inventory development.","url":"https://pubmed.ncbi.nlm.nih.gov/41167978/","authors":["Zou T","Xing C","Tan W","Wu Z","Liu C"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2026 Jan 27","doi":"10.1021/acs.est.5c08110","addedAt":"2026-08-31T06:40:02.907Z","updatedAt":"2026-08-31T06:40:02.907Z"},{"id":"pmid:40227905","name":"Generic Drone Simulator: Design, Development, and User Testing in a Virtual Search and Rescue Mission.","source":"pubmed","abstract":"This article addresses the need for scenario-specific drone simulators to enhance research, education, pilot training, and performance evaluation across diverse mission contexts. A gamified simulator was developed for the joint master's degree program \"Security and Defence\" between the Open University of Cyprus and the Hellenic Air Force Academy, with a focus on search and rescue mission training and planning. The simulator balances interface design, physics accuracy, and environmental realism to support specialized professional training and research. A survey-based evaluation involving 57 participants-pilots, engineers, and air traffic controllers-demonstrated the tool's ability to provide realistic experiences for trained pilots and meaningful learning opportunities for novices. Statistical analysis revealed significant correlations between gaming familiarity, task completion times, and participant expertise.","url":"https://pubmed.ncbi.nlm.nih.gov/40227905/","authors":["Pappas G","Lappas D","Karampelas P","Siegel JE","Templalexis I","Stavrou S","Krishnan S"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2026 Mar-Apr","doi":"10.1109/MCG.2025.3560537","addedAt":"2026-08-31T06:40:02.907Z","updatedAt":"2026-08-31T06:40:02.907Z"},{"id":"pmid:40216953","name":"Hyperspectral reporters for long-distance and wide-area detection of gene expression in living bacteria.","source":"pubmed","abstract":"Genetically encoded reporters are suitable for short-distance imaging in the laboratory but not for scanning wide outdoor areas from a distance. Here we introduce hyperspectral reporters (HSRs) designed for hyperspectral imaging cameras that are commonly mounted on unmanned aerial vehicles and satellites. HSR genes encode enzymes that produce a molecule with a unique absorption signature that can be reliably distinguished in hyperspectral images. Quantum mechanical simulations of 20,170 metabolites identified candidate HSRs, leading to the selection of biliverdin IX&#x3b1; and bacteriochlorophyll a for their distinct absorption spectra and biosynthetic feasibility. These genes were integrated into chemical sensor circuits in soil (Pseudomonas putida) and aquatic (Rubrivivax gelatinosus) bacteria. The bacteria were detectable outdoors under ambient light from up to 90&#x2009;m in a single 4,000-m 2 hyperspectral image taken using fixed and unmanned aerial vehicle-mounted cameras. The dose-response functions of the chemical sensors were measured remotely. HSRs enable large-scale studies and applications in ecology, agriculture, environmental monitoring, forensics and defense.","url":"https://pubmed.ncbi.nlm.nih.gov/40216953/","authors":["Chemla Y","Levin I","Fan Y","Johnson AA","Coley CW","Voigt CA"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2026 Feb","doi":"10.1038/s41587-025-02622-y","addedAt":"2026-08-31T06:40:02.907Z","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"pmid:40138493","name":"Vehicle collision risk assessment method in highway work zone based on trajectory data.","source":"pubmed","abstract":"This study aims to evaluate vehicle safety in highway work zones by analyzing collision risk using vehicle trajectory data collected from these zones.","url":"https://pubmed.ncbi.nlm.nih.gov/40138493/","authors":["Tang W","Wang H","Ma J","Yang C","Yin C"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.1080/15389588.2025.2474722","addedAt":"2026-08-31T06:40:02.907Z","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"pmid:40013771","name":"Integrating information from off-board sensors into the submarine control room: workload, situation awareness, and performance consequences.","source":"pubmed","abstract":"Off-board sensors have the potential to provide submarine control rooms with otherwise inaccessible information to supplement data gathered by on-board sensors. Using Uninhabited Aerial Vehicles (UAVs) as a representative test case, we examined how team performance, workload and situation awareness were impacted by receiving raw, compared to processed, sensor data from one or two off-board UAVs. Sixteen teams of three participants were trained to compile a tactical picture and to complete missions. Teams receiving processed off-board sensor data compiled more accurate tactical pictures, completed missions faster, and reported lower workload, compared to teams receiving raw off-board sensor data. Situation awareness, objective workload, and perceived usability were comparable between conditions. Scenarios with two UAVs took longer to complete, with other outcomes unaffected. These outcomes provide evidence that humans can integrate additional and distinct sources of information to form a cohesive combined picture, even when those data are partially redundant.","url":"https://pubmed.ncbi.nlm.nih.gov/40013771/","authors":["Loft S","Howard ZL","Pond S","Irons J","Michailovs S","Swe D","Bell J","Visser TAW","Pinniger G","Schmitt M"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2026 Mar","doi":"10.1080/00140139.2025.2470251","addedAt":"2026-08-31T06:40:02.907Z","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"pmid:39878047","name":"Field measurement of spray drift from a spray application by UAV.","source":"pubmed","abstract":"To use unmanned aerial vehicles (UAVs) to deliver pesticides, new data are needed to allow regulators to conduct risk assessments. A field trial was conducted to obtain spray drift data relating to ground deposits and airborne spray resulting from a spray application delivered by a small UAV.","url":"https://pubmed.ncbi.nlm.nih.gov/39878047/","authors":["Butler-Ellis MC","Lane AG","O'Sullivan CM","Wheeler HC","Harwood JJ"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2026 Aug","doi":"10.1002/ps.8645","addedAt":"2026-08-31T06:40:02.907Z","updatedAt":"2026-08-31T06:40:02.907Z"},{"id":"pmid:39614643","name":"Pesticide exposure of operators during mixing and loading a drone: towards a stratified exposure assessment.","source":"pubmed","abstract":"This study evaluated operator exposure during mixing and loading phases of drone-based pesticide application, specifically examining potential and actual exposure during handling of concentrated and diluted pesticide products. It aims to clarify the differences in exposure levels between these two scenarios with implications for exposure risk assessment.","url":"https://pubmed.ncbi.nlm.nih.gov/39614643/","authors":["Felkers E","Kuster CJ","Hamacher G","Anft T","Kohler M"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2026 Aug","doi":"10.1002/ps.8574","addedAt":"2026-08-31T06:40:02.907Z","updatedAt":"2026-08-31T06:40:02.907Z"},{"id":"pmid:29941801","name":"UAVs, Hyperspectral Remote Sensing, and Machine Learning Revolutionizing Reef Monitoring.","source":"pubmed","abstract":"Recent advances in unmanned aerial system (UAS) sensed imagery, sensor quality/size, and geospatial image processing can enable UASs to rapidly and continually monitor coral reefs, to determine the type of coral and signs of coral bleaching. This paper describes an unmanned aerial vehicle (UAV) remote sensing methodology to increase the efficiency and accuracy of existing surveillance practices. The methodology uses a UAV integrated with advanced digital hyperspectral, ultra HD colour (RGB) sensors, and machine learning algorithms. This paper describes the combination of airborne RGB and hyperspectral imagery with in-water survey data of several types in-water survey of coral under diverse levels of bleaching. The paper also describes the technology used, the sensors, the UAS, the flight operations, the processing workflow of the datasets, the methods for combining multiple airborne and in-water datasets, and finally presents relevant results of material classification. The development of the methodology for the collection and analysis of airborne hyperspectral and RGB imagery would provide coral reef researchers, other scientists, and UAV practitioners with reliable data collection protocols and faster processing techniques to achieve remote sensing objectives.","url":"https://pubmed.ncbi.nlm.nih.gov/29941801/","authors":["Parsons M","Bratanov D","Gaston KJ","Gonzalez F"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2018 Jun 25","doi":"10.3390/s18072026","addedAt":"2026-08-31T06:40:02.907Z","updatedAt":"2026-08-31T06:40:02.907Z"},{"id":"doi:10.20535/0203-3771502025347458","name":"Concept development of folding wing mechanism for an unmanned aerial vehicle","source":"crossref","abstract":"With the growing demand for civil unmanned aerial systems, particularly for search-and-rescue and reconnaissance missions, the need to enhance their mobility—both in terms of compactness during transport and speed of deployment, regardless of the launch method or location—is increasing. Reducing deployment time and increasing transport compactness can be achieved by incorporating a folding wing into the UAV design, along with an appropriate folding/unfolding mechanism. The objective of this work is to develop and describe a conceptual folding wing deployment mechanism for UAVs to ensure rapid deployment. Using a CAD/CAM/CAE IS, the components of the mechanism and their integration into a single assembly were modeled. As a result, a concept for the folding wing deployment mechanism was developed, including all the main components, allowing it to be adapted for UAVs of different weight categories","url":"https://doi.org/10.20535/0203-3771502025347458","authors":["Danylo Zadniprovsky","Dmytro Konotop"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-12-22T09:44:01Z","doi":"10.20535/0203-3771502025347458","addedAt":"2026-08-31T06:40:05.992Z","updatedAt":"2026-08-31T06:40:05.992Z"},{"id":"doi:10.1109/leficlu65987.2025.11297221","name":"LEF &amp; ICLU 2025 Author Information Page","source":"crossref","abstract":"","url":"https://doi.org/10.1109/leficlu65987.2025.11297221","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-12-19T18:56:52Z","doi":"10.1109/leficlu65987.2025.11297221","addedAt":"2026-08-31T06:40:05.992Z","updatedAt":"2026-08-31T06:40:05.992Z"},{"id":"doi:10.18127/j00338486-202507-26","name":"Algorithm for the operation of a video-inertial navigation system for an unmanned aerial vehicle","source":"crossref","abstract":"Problem formulation. Combat experience in local wars and armed conflicts has demonstrated the high effectiveness of military unmanned aerial vehicles (UAVs) in overcoming air defense zones. Analysis of modern air defense detection systems reveals that mini and small UAVs, characterized by low radar cross-section and capable of flying at ultra-low altitudes (up to 30 m) at speeds up to 100 km/h, successfully penetrate air defense zones. A critical requirement for UAVs is ensuring the required navigation accuracy for reaching a designated area under conditions of enemy electronic warfare (EW) countermeasures. An analysis of existing navigation systems shows that those used in military mini and small UAVs fail to meet accuracy, jamming resistance, and size-weight requirements, preventing autonomous UAV operation in modern combat scenarios. Purpose. To achieve the required accuracy of a UAV navigation system that ensures operation under EW countermeasures and ultra-low-altitude flight conditions through the development of a Video-Inertial Navigation System (VINS). Results. An algorithm for real-time coordinate reckoning in VINS has been developed, distinguished by the use of a monocular video stream of the Earth’s surface and signals from a three-component gyroscope. The algorithm is based on a coordinate reckoning method that calculates UAV coordinates while compensating for gyro block drift. Practical significance. The study provides recommendations for improving the algorithmic support of UAV navigation systems, ensuring the required accuracy of coordinate determination, enhancing autonomy, jamming resistance, and safety during combat missions to destroy ground targets under conditions of suppressed navigation and control channels.","url":"https://doi.org/10.18127/j00338486-202507-26","authors":["D.S. Mongush","V.G. Bondarev","D.V. Lopatkin"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-08-14T11:35:07Z","doi":"10.18127/j00338486-202507-26","addedAt":"2026-08-31T06:40:05.992Z","updatedAt":"2026-08-31T06:40:05.992Z"},{"id":"doi:10.1109/leficlu65987.2025.11297398","name":"LEF &amp; ICLU 2025 Content Announcement Page","source":"crossref","abstract":"","url":"https://doi.org/10.1109/leficlu65987.2025.11297398","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-12-19T18:56:52Z","doi":"10.1109/leficlu65987.2025.11297398","addedAt":"2026-08-31T06:40:05.992Z","updatedAt":"2026-08-31T06:40:05.992Z"},{"id":"doi:10.2514/6.2025-2347","name":"Autonomous Precision Landing of Unmanned Aerial Vehicle Using Visual Tracking by Ground Based Camera","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2025-2347","authors":["Chiranjeev Prachand","M. R. Rakshith","K. S. Venkatesh","A Abhishek"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-02-12T10:03:43Z","doi":"10.2514/6.2025-2347","addedAt":"2026-08-31T06:40:05.992Z","updatedAt":"2026-08-31T06:40:05.992Z"},{"id":"doi:10.31181/msa21202525","name":"Formula-based Architectural Framework of the SecuDroneComm Platform for Unmanned Aerial Vehicle Communications","source":"crossref","abstract":"The SecuDroneComm platform is designed to provide secure, reliable, and efficient communication between drones and the tactical operations center. Its architecture integrates data integrity, encryption efficiency, energy optimization, collision avoidance, and real-time processing through a mathematical framework of dedicated formulas. The platform ensures that critical mission data is protected from tampering, transmitted with minimal delay, and prioritized based on urgency and network stability. By applying specialized formulas, such as the drone data integrity formula, encrypted data transmission efficiency formula, and data prioritization index, the platform strengthens communication security and improves decision-making in operational environments. Additional formulas address challenges of battery optimization, multi-drone coordination, network congestion, and system reliability, ensuring resilient operations during missions. The integration of YOLOv8 within the platform enhances object detection by balancing accuracy and inference speed, supported by GPU load analysis and bandwidth allocation models. The hybrid server structure optimizes latency, resource distribution, and encryption key management, creating a unified solution for real-time unmanned aerial vehicle surveillance. This paper presents the complete formula-based framework of SecuDroneComm, demonstrating its capability to improve operational efficiency, cybersecurity resilience, and mission sustainability in dynamic and high-risk environments.","url":"https://doi.org/10.31181/msa21202525","authors":["Rexhep Mustafovski"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-10-07T17:24:04Z","doi":"10.31181/msa21202525","addedAt":"2026-08-31T06:40:05.992Z","updatedAt":"2026-08-31T06:40:05.992Z"},{"id":"doi:10.5194/egusphere-egu25-11358","name":"Quantifying risk dynamics on Rawa Pening floodplain using optical images gathered by satellite and unmanned aerial vehicle","source":"crossref","abstract":"The floodplain of lake Rawa Pening, experience spatio-temporal dynamics due to regime shifts of wet and dry season as well as a more persisten land use changes in the upland area. The high yield of rice agriculture in the floodplain has also been bothered by additional entity rooted on the socio-economic value of the plain. Our research focused on floodplain in the vicinity of the Torong River, Banyubiru District that recently incurred river normalization project. Compare to the rest eight&amp;#160; catchments delivering effluents into the lake, we assume normalization will change sediment budget, in way the dynamics can be captured well by detailing imagery acquired from Unmanned Aerial Vehicle (UAV) photography.Land use change is observed using high temporal resolution of optical satellite imagery and the verification using UAV images. Sentinel-2 optical imagery is used for the macrozonation. Because of the high temporal resolution, we eliminate images with cloud interference exceeding the specified threshold while assuring data continuity. At time when Sentinel-2 is planned to pass over, we also acquire UAV photos of different heights aimed to detail reality mapping of the area. To get land productivity, we use statistical information and semi-structured interviews of randomly selected samples for each land use class.Our initial results using longer period Google Earth images showed both extreme and gradual changes of land use, partly due to irregular temporal captures. Sentinel-2 is available in shorter historical period providing denser images every 5 days. At the same capture time, UAV capture images to opens potentials for further color manipulations matching the productivity. For the moment, our investigation on land productivity still relied on manual delineation of straight skeleton visible in both approaches. High productivity of ricefield in the floodplain area also still relied on semi-structured interviews and statistical reports by village adminstrations. With the constraints, risk of land use change observed using current satellite images and UAV accords on the manual delineation process. As a result, we found Sentinel-2 images is sufficient to predict risk changes particularly for fish culture and tourism, while spatial ricefield productivity using satellite and UAV images still require complex experimentation on color spectrum and operational acquisition height of the UAV.","url":"https://doi.org/10.5194/egusphere-egu25-11358","authors":["yus budiyono","Ibrahim Dwi Ariyoko","Qoriatu Zahro","Nana Sudiana"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-03-14T23:40:12Z","doi":"10.5194/egusphere-egu25-11358","addedAt":"2026-08-31T06:40:05.993Z","updatedAt":"2026-08-31T06:40:05.993Z"},{"id":"doi:10.2139/ssrn.5731338","name":"A distributed coverage path planning framework for autonomous unmanned aerial vehicle (UAV) swarms","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.5731338","authors":["Wilfried Yves Hamilton Adoni","Sandra Lorenz","Richard Gloaguen","Aastha Singh","Thomas  D. Kühne"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-11-10T14:41:36Z","doi":"10.2139/ssrn.5731338","addedAt":"2026-08-31T06:40:05.993Z","updatedAt":"2026-08-31T06:40:05.993Z"},{"id":"doi:10.1109/ijcnn64981.2025.11228989","name":"FDSI-RTDETR : A Lightweight Unmanned Aerial Vehicle (UAV) Aerial Image Small Object Detection Network","source":"crossref","abstract":"","url":"https://doi.org/10.1109/ijcnn64981.2025.11228989","authors":["Tianyu Guo","Qingzeng Song","Yongjiang Xue","Fei Qiao"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-11-14T18:46:15Z","doi":"10.1109/ijcnn64981.2025.11228989","addedAt":"2026-08-31T06:40:05.993Z","updatedAt":"2026-08-31T06:40:05.993Z"},{"id":"doi:10.1109/sgai64825.2025.11009795","name":"A Method for Detecting Insulator Defects in Unmanned Aerial Vehicle Aerial Photography Based on Improved YOLOv5","source":"crossref","abstract":"","url":"https://doi.org/10.1109/sgai64825.2025.11009795","authors":["Hongren Zhou","Zhen Qiu","Feng Zhao","Yong Su","Yiping Zhou","Jun Zhang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-05-29T17:06:12Z","doi":"10.1109/sgai64825.2025.11009795","addedAt":"2026-08-31T06:40:05.993Z","updatedAt":"2026-08-31T06:40:05.993Z"},{"id":"doi:10.2139/ssrn.5120621","name":"Leveraging on Artificial Intelligence for Universal Jamming Attack Detection in Unmanned Aerial Vehicle Communication","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.5120621","authors":["Oluwadare  Michael Ayegun","Kayode  Francis Akingbade","Julius  Jide Popoola","Brendan  Chijioke Ubochi"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-02-01T19:36:51Z","doi":"10.2139/ssrn.5120621","addedAt":"2026-08-31T06:40:05.993Z","updatedAt":"2026-08-31T06:40:05.993Z"},{"id":"doi:10.18127/j00338486-202506-03","name":"The algorithm for calculating the coordinates of the video navigation system of an unmanned aerial vehicle","source":"crossref","abstract":"Problem formulation. Unmanned aerial vehicles represent a dynamically developing class of aviation technology, and the success of their use in each new military conflict only reinforces this trend. Technical vision systems are of particular importance for the development of unmanned aviation, the most relevant area of application of which is navigation support for flight automation tasks. In navigation of unmanned aerial vehicles navigation, the requirements for its accuracy and noise immunity are increasing, while reducing the weight and dimensions of the equipment. An important problem for unmanned aircraft of military use is radar visibility, which is solved by using low-altitude flight, however, modern radio engineering systems for this mode cannot be used on small unmanned aerial vehicles due to their significant weight and dimensions. The integrity of the satellite navigation signal under conditions of electronic suppression is in great doubt. Therefore, the development of new methods, technical solutions and algorithms for vision systems in the navigation tasks of unmanned aerial vehicles is an urgent task. Purpose. Development of an algorithm for calculating the coordinates of an unmanned aerial vehicle, which performs real-time processing of video data from a binocular machine vision system (BMVS) and performs the task of navigation in a low-altitude field under the condition of visibility of the Earth's surface. Results. The possibility of using a BMVS in the task of unmanned aerial vehicles navigation is substantiated. An algorithm for calculating coordinates based on the binocular video current of the earth's surface has been developed, which provides almost autonomous navigation in low-altitude flight. Experimental studies of the developed algorithm have been carried out, which have shown its operability and compliance of errors with modern requirements for aircraft navigation systems. Practical significance. The results obtained make it possible to develop practical recommendations for the construction of a video navigation system for unmanned aerial vehicles that can ensure the required accuracy in determining coordinates in low-altitude flight in conditions of suppression of control channels and global satellite navigation systems, increase autonomy, noise immunity and flight safety.","url":"https://doi.org/10.18127/j00338486-202506-03","authors":["I.R. Kabirov","V.G. Bondarev","D.V. Lopatkin","S.V. Ippolitov"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-08-14T11:13:16Z","doi":"10.18127/j00338486-202506-03","addedAt":"2026-08-31T06:40:05.993Z","updatedAt":"2026-08-31T06:40:05.993Z"},{"id":"doi:10.4018/ijitn.373429","name":"Unmanned Aerial Vehicle Target Detection Integrating Computer Deep SORT Algorithm and Wireless Signal","source":"crossref","abstract":"With the advancement of unmanned aerial vehicle (UAV) technology, accurately detecting UAV targets has become increasingly challenging. This study addresses this issue by proposing a novel UAV target detection method that integrates real-time target tracking algorithms with wireless signal detection technology. Experimental results demonstrate that each improved module positively contributes to the overall detection method. Compared to traditional object detection approaches, the proposed method achieves superior performance on both the VisDrone and COCO datasets, with precision, recall, F1 score, and mean squared error values of 96.07%, 95.84%, 96.33%, and 0.023%, respectively. This integrated approach effectively enhances the accuracy of UAV target detection, offering a robust solution for positioning and tracking in UAV applications.","url":"https://doi.org/10.4018/ijitn.373429","authors":["Ao Li"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-04-19T03:47:26Z","doi":"10.4018/ijitn.373429","addedAt":"2026-08-31T06:40:05.993Z","updatedAt":"2026-08-31T06:40:05.993Z"},{"id":"doi:10.3390/rs17061097","name":"Hyperspectral Target Detection Based on Masked Autoencoder Data Augmentation","source":"crossref","abstract":"Deep metric learning combines deep learning with metric learning to explore the deep spectral space and distinguish between the target and background. Current target detection methods typically fail to accurately distinguish local differences between the target and background, leading to insufficient suppression of the pixels surrounding the target and poor detection performance. To solve this issue, a hyperspectral target detection method based on masked autoencoder data augmentation (HTD-DA) was proposed. HTD-DA includes a multi-scale spectral metric network based on a triplet network, which enhances the ability to learn local and global spectral variations using multi-scale feature extraction and feature fusion, thereby improving background suppression. To alleviate the lack of training data, a masked spectral data augmentation network was employed. It utilizes the entire hyperspectral image (HSI) training the network to learn spectral variability through mask-based reconstruction techniques and generate target samples based on the prior spectrum. Additionally, in search of more optimal spectral space, an Inter-class Difference Amplification Triplet (IDAT) Loss was introduced to enhance the separation between the target and background when finding the spectral space, by making full use of background and prior information. The experimental results demonstrated that the proposed model provides superior detection results.","url":"https://doi.org/10.3390/rs17061097","authors":["Zhixuan Zhuang","Jinhui Lan","Yiliang Zeng"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-03-20T09:17:39Z","doi":"10.3390/rs17061097","addedAt":"2026-08-31T06:40:05.993Z","updatedAt":"2026-08-31T06:40:05.993Z"},{"id":"doi:10.32782/2409-1154.2025.72.49","name":"LINGUISTIC CHALLENGES IN TRANSLATING UNMANNED AERIAL VEHICLE TERMINOLOGY: APPROACHES AND METHODS","source":"crossref","abstract":"","url":"https://doi.org/10.32782/2409-1154.2025.72.49","authors":["A. Koval","L. Sinna"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-07-12T11:30:31Z","doi":"10.32782/2409-1154.2025.72.49","addedAt":"2026-08-31T06:40:05.993Z","updatedAt":"2026-08-31T06:40:05.993Z"},{"id":"doi:10.30518/jav.1567696","name":"Multirotor Unmanned Aerial Vehicle Systems: An In-Depth Analysis of Hardware, Software, And Communication Systems","source":"crossref","abstract":"This paper presents a comprehensive overview of multirotor unmanned aerial vehicle (UAV) systems, focusing on the mechanical integration of quadcopters. The rapid advancement and widespread adoption of UAVs have established them as a significant research and development field. This review examines the key components and technologies in UAV design and operation, including frame types, flight control boards, motors, electronic speed controllers, batteries, propellers, communication systems, and software. It analyzes various frame materials and configurations, detailing their advantages and limitations. The paper examines the essential role of flight control boards and inertial measurement units in maintaining stability and enabling autonomous flight. It explores motors, propellers, and power systems selection criteria and characteristics in detail. The review evaluates UAV communication technologies, including radio frequency, WIFI, Bluetooth, and infrared, comparing their capabilities and limitations. It also covers autopilot software and ground control stations for mission planning and execution. This comprehensive analysis serves as a valuable resource for researchers, engineers, and enthusiasts working with design, development, and application of multirotor UAV systems.","url":"https://doi.org/10.30518/jav.1567696","authors":["Yahya Çelebi","Hüseyin Aydın"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-02-25T18:30:35Z","doi":"10.30518/jav.1567696","addedAt":"2026-08-31T06:40:05.993Z","updatedAt":"2026-08-31T06:40:05.993Z"},{"id":"doi:10.1109/ddcls66240.2025.11065841","name":"Active Disturbance Rejection Control Based on Ballistically-Launched Foldable Rotor Unmanned Aerial Vehicle","source":"crossref","abstract":"","url":"https://doi.org/10.1109/ddcls66240.2025.11065841","authors":["Miao Zhao","Haoran He","Jing Na"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-07-11T17:42:05Z","doi":"10.1109/ddcls66240.2025.11065841","addedAt":"2026-08-31T06:40:05.993Z","updatedAt":"2026-08-31T06:40:05.993Z"},{"id":"doi:10.1016/j.procs.2025.04.506","name":"Unmanned Aerial Vehicle-Based Real-time Garbage Detection System","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.procs.2025.04.506","authors":["Vaishnavee V. Rathod","Dipti P. Rana","Rupa G. Mehta"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-05-10T11:48:48Z","doi":"10.1016/j.procs.2025.04.506","addedAt":"2026-08-31T06:40:05.993Z","updatedAt":"2026-08-31T06:40:05.993Z"},{"id":"doi:10.2139/ssrn.5227583","name":"A High-Precision Method for Detecting Rolling Bearing Faultis in Unmanned Aerial Vehicle Based on Improved 1dcnn-Informer Model","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.5227583","authors":["Shuangbao Ma","Songjie Shi","Yapeng Zhang","Hongliang Gao"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-04-23T14:43:17Z","doi":"10.2139/ssrn.5227583","addedAt":"2026-08-31T06:40:05.993Z","updatedAt":"2026-08-31T06:40:05.993Z"},{"id":"doi:10.23919/irs64527.2025.11046140","name":"Bistatic Radar Geometry for Maximisation of Radar Cross Section of an Unmanned Aerial Vehicle","source":"crossref","abstract":"","url":"https://doi.org/10.23919/irs64527.2025.11046140","authors":["Olivia Mammadova","Angel Slavov","Ferran Valdes Crespi","Peter Knott"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-06-30T17:36:14Z","doi":"10.23919/irs64527.2025.11046140","addedAt":"2026-08-31T06:40:05.993Z","updatedAt":"2026-08-31T06:40:05.993Z"},{"id":"doi:10.3390/app15031256","name":"Pedestrian Re-Identification Algorithm Based on Unmanned Aerial Vehicle Imagery","source":"crossref","abstract":"Pedestrian re-identification in complex scenarios is often hindered by challenges such as viewpoint diversity, background interference, and behavioral complexity, which traditional methods struggle to address effectively in wide-area surveillance. Unmanned Aerial Vehicles (UAVs) offer a promising solution to this problem due to their flexibility and extensive coverage capabilities. However, UAV aerial images introduce additional challenges, including significant viewpoint variations and the complexity of pedestrian behaviors. To address these issues, this paper proposes a Transformer-based model that integrates a multi-scale graph convolution network (MU-GCN) with a non-local attention mechanism to address these challenges. A MU-GCN enhances feature extraction by employing graph convolutional networks to improve feature representation after extracting detailed features at various scales through multi-scale convolution kernels. This strengthens the model’s focus on local information. Meanwhile, the non-local attention mechanism enhances the model’s capacity to capture global contextual information by modeling dependencies between distant regions in the image. This approach is better suited for the unique characteristics of UAV aerial imagery. Experimental results demonstrate that, compared to the baseline model, the proposed method achieves improvements of 9.5% in mean average precision (mAP) and 4.9% in Rank-1 accuracy, validating the effectiveness of the model.","url":"https://doi.org/10.3390/app15031256","authors":["Lili Song","Xin Jin","Jianfeng Han","Jie Yao"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-01-27T03:54:27Z","doi":"10.3390/app15031256","addedAt":"2026-08-31T06:40:05.993Z","updatedAt":"2026-08-31T06:40:05.993Z"},{"id":"doi:10.1109/aiim67611.2025.11232993","name":"3D Path Planning for Urban Unmanned Aerial Vehicle Based on Hybrid Bat-Firefly Algorithm","source":"crossref","abstract":"","url":"https://doi.org/10.1109/aiim67611.2025.11232993","authors":["Qixin Geng","Linzhu Guo"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-11-18T18:42:15Z","doi":"10.1109/aiim67611.2025.11232993","addedAt":"2026-08-31T06:40:05.993Z","updatedAt":"2026-08-31T06:40:05.993Z"},{"id":"doi:10.20535/radap.2025.99.41-48","name":"Amplitude Direction Finder of Radio Frequency Emitters for Unmanned Aerial Vehicle","source":"crossref","abstract":"The detection and localization of low-power radio frequency emitters (RFE) in populated areas using stationary spectrum sensing (SS) equipment is ineffective due to the lack of line of sight in shadowing effect. To solve this problem, it is advisable to place the SS equipment on a small unmanned aerial vehicle (UAV). The limitations of this solution are low time for data collection and processing and the low computing power of SS device. This leads to a decrease in search capabilities of SS both in terms of spatial coordinates and frequency, which is critical in conditions of high density of RFE. The aim of this article is to increase the speed of RFE searching using a UAV-mounted SS device under time, weight, and energy constraints by using a system of broadband directional antennas and multichannel sequential signal processing. The amplitude direction finding method was chosen to estimate the direction of radio wave arrival, taking into account the mass and computational limitations of the SS device placed on the UAV. The proposed structure of the antenna system contains six log-periodic antennas spaced in a circle by 60°. To process the received signal, a multichannel sequential analysis scheme is proposed, in which one scanning receiver is alternately connected to each of the antennas. It is shown that for this scheme, the parameter to be optimized is the flight speed of the UAV. A generalized expression for calculating this value is obtained. An expression for approximating the main lobe of the antenna radiation pattern in form of a Gaussian function is obtained. A procedure for calculating the direction on RFE by comparing the amplitudes of the received signals by two neighboring antennas is developed. Recommendations to avoid ambiguities in calculation angle of arrival for the case of several RFE are given. Compared to existing solutions, when a single receiving channel with a single directional antenna is used and space scanning is performed by rotating the UAV, the proposed approach with a multi-antenna system will reduce the time for azimuthal directions scanning.","url":"https://doi.org/10.20535/radap.2025.99.41-48","authors":["M. V. Buhaiov"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-04-22T07:59:21Z","doi":"10.20535/radap.2025.99.41-48","addedAt":"2026-08-31T06:40:05.993Z","updatedAt":"2026-08-31T06:40:05.993Z"},{"id":"doi:10.1145/3760550.3760553","name":"A Lightweight Microchained Architecture for Unmanned Aerial Vehicle Network Reputation Systems","source":"crossref","abstract":"","url":"https://doi.org/10.1145/3760550.3760553","authors":["Simeon Ogunbunmi","Ronghua Xu","Yu Chen"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-10-17T10:03:27Z","doi":"10.1145/3760550.3760553","addedAt":"2026-08-31T06:40:05.993Z","updatedAt":"2026-08-31T06:40:05.993Z"},{"id":"doi:10.1109/icwr65219.2025.11006178","name":"A New Method Using Machine Learning for Resource Management in Unmanned Aerial Vehicle (UAV) Networks","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icwr65219.2025.11006178","authors":["Samareh Ghobadimazleghani","Ehsan Akhtarkavan","Mohammad Robatmili"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-05-22T17:50:35Z","doi":"10.1109/icwr65219.2025.11006178","addedAt":"2026-08-31T06:40:05.993Z","updatedAt":"2026-08-31T06:40:05.993Z"},{"id":"doi:10.32509/wacana.v24i1.4651","name":"Metafungsi Videografi Unmanned Aerial Vehicle Pada Konten Komunikasi Publik Pemerintah","source":"crossref","abstract":"Using unmanned aerial vehicle or drone videography in video content creation can explore new things. Images will be more diverse with explorative angles, and drones emerge as a new alternative in public communication with many advantages. Government agencies that present information to the public also use drone technology. One is a report on various Presidential activities carried out by the Presidential Secretariat Office. Various media often make video content on the official account of the Presidential Secretariat as a reference or news source. Of course, there are many meanings that the video maker (account owner) wants to convey to its audience (the public). This research uses social semiotic analysis to find the meaning and purpose behind the making of the activity video on the official account of the Presidential Secretariat. The results obtained are a description of Indonesia's natural beauty, the people's hospitality, the President's image, and the government's commitment to various aspects such as infrastructure, politics, socio-culture, security, economy, and tourism. It also shows the unity of ASEAN countries towards a common goal and the hope of making ASEAN the epicenter of growth, a peaceful, stable, and prosperous region.","url":"https://doi.org/10.32509/wacana.v24i1.4651","authors":["Citra Danta Pinem","Irwa Rochimah Zarkasi"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-07-21T09:07:14Z","doi":"10.32509/wacana.v24i1.4651","addedAt":"2026-08-31T06:40:05.993Z","updatedAt":"2026-08-31T06:40:05.993Z"},{"id":"doi:10.54254/2753-8818/2026.ch30936","name":"The Application of Unmanned Aerial Vehicle Remote Sensing Technology in Smart City Construction","source":"crossref","abstract":"Smart cities are the products of urbanization and informatization at a certain stage and represent the main trend of urban development. Against this backdrop of development, studying the application path of unmanned aerial vehicle (UAV) remote sensing technology in the construction of smart cities holds significant theoretical and practical significance for promoting the advancement of smart cities from initial construction to in-depth development. Specifically, the research context of this article is as follows: Firstly, systematically sort out the concept, connotation and current development status of smart cities, and build the theoretical basis for research; Secondly, from multiple dimensions. This paper elaborates in depth on the specific application scenarios and practical value of UAV remote sensing technology in the construction of smart cities. Finally, in combination with the trend of technological evolution and the demands of urban development, the future application directions of this technology in the field of smart cities are projected.","url":"https://doi.org/10.54254/2753-8818/2026.ch30936","authors":["Xuanzhi Zheng"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-12-31T06:31:16Z","doi":"10.54254/2753-8818/2026.ch30936","addedAt":"2026-08-31T06:40:05.993Z","updatedAt":"2026-08-31T06:40:05.993Z"},{"id":"doi:10.17770/bsm.v5i10.8297","name":"STATIONARY UNMANNED AERIAL VEHICLE COUNTERMEASURE DEVICES: PRACTICAL ASPECTS OF THEIR APPLICATION","source":"crossref","abstract":"The aim of this study is to investigate the limitations of using unmanned aerial vehicles (UAVs), to identify the legal and practical aspects of countermeasures, and to find the most suitable technical solutions for the State Border Guard operations. To achieve this objective, the following tasks were set: to examine the regulatory framework related to the use of UAVs, to identify the legal limitations of UAV usage; to investigate practical examples within the State Border Guard operations where technical solutions for combating UAVs were necessary; to describe the UAV countermeasure devices available on the market, comparing them with solutions already in use in Latvia; to propose potential pathways for developing the technical base in the field of UAV countermeasure devices. To accomplish these tasks, the following research methods were applied: the monographic method, document analysis, the logical-constructive method, and surveys. The structure of the work consists of four chapters: the first chapter examines the relevant legal regulations, the second chapter explores practical examples within the State Border Guard operations where UAVs have been used unlawfully, the third chapter analyzes the technical parameters and operating principles of UAV countermeasure devices, and the fourth chapter investigates the technical solutions of UAV countermeasure devices available on the market. The study concludes with a section of conclusions and proposals.","url":"https://doi.org/10.17770/bsm.v5i10.8297","authors":["Olegs Ignatjevs","Andrejs Korklis"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-02-24T02:38:40Z","doi":"10.17770/bsm.v5i10.8297","addedAt":"2026-08-31T06:40:05.993Z","updatedAt":"2026-08-31T06:40:05.993Z"},{"id":"doi:10.14419/vr9xzy19","name":"Cybersecurity Challenges in Autonomous Unmanned Aerial Vehicle Networks","source":"crossref","abstract":"The use of autonomous unmanned aerial vehicles (UAVs) can offer innovative solutions to various problems, providing operational and financial benefits, as well as agricultural and military advantages in surveillance and logistics. Since they depend on wireless networks for real-time ‎data processing and distributed control, UAVs have become so ubiquitous that they present serious cybersecurity risks. Poorly designed UAV systems offer hackers fresh possibilities to launch cyberattacks, while GIS spoofing opens channels for data breach exploits that result in communication failures. Critical applications needing exact data and control parameters suffer operational hazards on system ‎performance, reliability, and safety standards, given the dependence on unmanned aerial vehicles. The different risks to UAV networks with ‎respect to cybersecurity and their effects on operations are covered in this article. Using an analytical approach, researchers found risks and ‎evaluated them to design security measures suitable for the unmanned aerial vehicle system. The research explains why ‎unauthorized access to UAV communications and data accuracy must be defended by encryption algorithms, together with more rigorous ‎authentication methods and intruder detection systems. The paper proposes a series of realistic security procedures that companies from several ‎sectors can implement to counter growing threats and maintain UAV networks in a state of operational safety and system flexibility‎.","url":"https://doi.org/10.14419/vr9xzy19","authors":["Sumit Ramswami Punam","Manish Nandy"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-07-08T03:40:12Z","doi":"10.14419/vr9xzy19","addedAt":"2026-08-31T06:40:05.993Z","updatedAt":"2026-08-31T06:40:05.993Z"},{"id":"doi:10.1109/aipip66876.2025.11299127","name":"MATLAB Modeling and Simulation of PID Controller for Quadrotor Unmanned Aerial Vehicle","source":"crossref","abstract":"","url":"https://doi.org/10.1109/aipip66876.2025.11299127","authors":["Shuli Wang","Yanlin Li","Qingxin Zhang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-12-24T18:43:13Z","doi":"10.1109/aipip66876.2025.11299127","addedAt":"2026-08-31T06:40:05.993Z","updatedAt":"2026-08-31T06:40:05.993Z"},{"id":"doi:10.1109/icc69100.2025.11372302","name":"Relative Side-Bearing Angle-Based Circumnavigation of a Target Using Unmanned Aerial Vehicle with Boundary Constraints","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icc69100.2025.11372302","authors":["Ranit Roychowdhury","Anoop Jain","Jayant Kumar Mohanta"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-02-11T20:54:50Z","doi":"10.1109/icc69100.2025.11372302","addedAt":"2026-08-31T06:40:05.993Z","updatedAt":"2026-08-31T06:40:05.993Z"},{"id":"doi:10.37394/23209.2025.22.35","name":"Obstacle Avoidance Algorithm for Unmanned Aerial Vehicle Power Line Detection based on Binocular Vision","source":"crossref","abstract":"In recent years, the study of binoculars-based transmission line detection and obstacle avoidance algorithms has gradually gained attention in the development of unmanned aircraft technology. This study aims to study the application of binoculars in transmission line inspections by combining image processing and depth data analysis to improve the navigational and obstacle avoidance capability of unmanned aircraft in complex environments. By constructing efficient visual algorithms, it is possible to identify obstacles in and around power lines in real time, thereby optimizing flight paths and ensuring the smooth progress of detection tasks. In addition, this study will also explore the practical application effects of the algorithm and evaluate its potential value in the field of power inspection.","url":"https://doi.org/10.37394/23209.2025.22.35","authors":["Shuhan Yu"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-05-28T11:44:17Z","doi":"10.37394/23209.2025.22.35","addedAt":"2026-08-31T06:40:05.993Z","updatedAt":"2026-08-31T06:40:05.993Z"},{"id":"doi:10.54254/2755-2721/2025.gl25197","name":"Collaborative Traffic Monitoring and Management of Autonomous Driving and Unmanned Aerial Vehicle Systems","source":"crossref","abstract":"With the rapid advancement of Intelligent Transportation Systems (ITS), the collaboration between autonomous driving and unmanned aerial vehicle (UAV) technologies has attracted significant attention in traffic monitoring and management. Traditional methods like ground cameras and sensors, while providing specific data, face limitations in complex road conditions, dynamic environments, and emergency responses. This article reviews the current applications of autonomous driving and UAV systems in traffic monitoring, analyzing their collaborative potential in data collection, transmission, processing, and decision-making. A 5G/6G and edge computing-based collaborative monitoring framework is proposed, enabling UAVs as mobile sensing nodes to enhance real-time traffic data acquisition. The integration mechanisms, advantages, and challenges of drones and autonomous vehicles in intelligent traffic management are also examined. Current research indicates that UAV-autonomous driving cooperation improves traffic monitoring coverage and accuracy, benefiting accident warning, dynamic routing, and intelligent signal control. Future advances in communication and AI will deepen this integration, fostering more efficient and safer intelligent transportation systems.","url":"https://doi.org/10.54254/2755-2721/2025.gl25197","authors":["Liuyi Xu"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-07-20T12:57:33Z","doi":"10.54254/2755-2721/2025.gl25197","addedAt":"2026-08-31T06:40:05.993Z","updatedAt":"2026-08-31T06:40:05.993Z"},{"id":"doi:10.24425/agg.2025.154152","name":"Tree species classification in heterogeneous forest with hyperspectral data from unmanned aerial vehicle","source":"crossref","abstract":"Hyperspectral data obtained from unmanned aerial vehicles (UAVs) provide high spectral and spatial resolution, bringing potential for an accurate identification of individual tree species. The aim of this paper was to thoroughly investigate the possibilities of forest tree classification using hyperspectral data taken by the Resonon Pika L camera. Both hyperspectral and ground reference data were collected for a heterogenous forest in the Czech Republic. Standard processing methods (radiometric, atmospheric, and geometric corrections) were applied, followed by testing the methods for reduction (spectral resampling, MNF, PCA) and PPI. The classification phase consists of both unsupervised and supervised approaches, including Maximum Likelihood, Mahalanobis Distance, Spectral Angle Mapper, Minimum Distance, Random Forest, Extra Trees, Support Vector Machines, and Naive Bayes. Within the classical classifiers, the best results were achieved using the Maximum Likelihood classifier. In terms of machine learning algorithms, the best performing classifiers were Random Forest and Extra Trees. The use of Pika L camera in forestry classification is so far minimal, therefore the results can be helpful in potential utilization of this type of camera. The findings of this research not only contribute to a better understanding of UAV-based hyperspectral remote sensing for tree classifications but also provide practical insights and recommendations for improvement.","url":"https://doi.org/10.24425/agg.2025.154152","authors":["Ivana Horáková","Michal Kačmařík","Lucie Orlíková"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-11-21T11:10:26Z","doi":"10.24425/agg.2025.154152","addedAt":"2026-08-31T06:40:05.993Z","updatedAt":"2026-08-31T06:40:05.993Z"},{"id":"doi:10.35234/fumbd.1668498","name":"Anomaly Detection in Unmanned Aerial Vehicle Telemetry Using Automated Machine Learning","source":"crossref","abstract":"Reliable analysis of UAV telemetry data is critical for mission safety, especially as drones are increasingly deployed in complex and high-risk environments. These data streams often include anomalies arising from sensor faults, environmental disruptions, or cyber-physical attacks, making robust anomaly detection essential. This study introduces an unsupervised anomaly detection framework designed specifically for high-frequency UAV telemetry. It combines domain-driven feature engineering with an AutoML-based optimization pipeline that enables automated model selection and hyperparameter tuning. The framework integrates four unsupervised algorithms—Local Outlier Factor, Isolation Forest, One-Class SVM, and Elliptic Envelope—ensuring adaptability to the dynamic nature of UAV operations. Evaluated on a real-world dataset of 127,000 samples from 48 UAV missions, the system uses expert-labeled anomaly segments solely for validation to preserve the integrity of unsupervised learning. Among all methods, Local Outlier Factor yielded the best results with 0.920 accuracy, 0.880 precision, 0.850 recall, and 0.860 F1-score. Scalable and low-latency, the proposed solution is well-suited for real-time deployment. By bridging theoretical advances with operational needs, this work contributes to safer and more resilient aerial robotic systems.","url":"https://doi.org/10.35234/fumbd.1668498","authors":["Anıl Sezgin","Rasim Keskin","Aytuğ Boyacı"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-09-19T18:30:10Z","doi":"10.35234/fumbd.1668498","addedAt":"2026-08-31T06:40:05.993Z","updatedAt":"2026-08-31T06:40:05.993Z"},{"id":"doi:10.3390/geomatics5020017","name":"Determining the Spectral Characteristics of Fynbos Wetland Vegetation Species Using Unmanned Aerial Vehicle Data","source":"crossref","abstract":"The Cape Floristic Region (CFR) boasts rich biodiversity but faces threats from invasive species and land-use changes. Fynbos wetland vegetation within the CFR is under-mapped despite its crucial role in supporting biodiversity and maintaining hydrological cycles. This study assessed the potential of UAV VIS-NIR data, gathered during Spring and Summer, to identify the spectral characteristics of eleven Fynbos wetland species in a seep wetland. Spectral distances derived from reflectance data revealed distinct spectral clustering of plant species, highlighting which species could be distinguished from each other. UAV data also captured differences in reflectance across spectral bands for both dates. Spectral statistics indicated that certain species could be more accurately classified in Spring than in Summer, and vice versa. These findings underscore the efficacy of UAV multispectral data in analyzing the reflectance patterns of fynbos wetland species. Additionally, the sensitivity of UAV multispectral data to foliar pigment composition across different seasonal stages was confirmed. Lastly, species classification results demonstrated that a random forest classifier is well suited, with relative producer and user accuracies aligning with the derived spectral distances. The results highlight the potential of UAV imagery for monitoring these endemic species and creating opportunities for scalable mapping of Fynbos seep wetlands.","url":"https://doi.org/10.3390/geomatics5020017","authors":["Kevin Musungu","Moreblessings Shoko","Julian Smit"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-04-29T07:49:36Z","doi":"10.3390/geomatics5020017","addedAt":"2026-08-31T06:40:05.993Z","updatedAt":"2026-08-31T06:40:05.993Z"},{"id":"doi:10.1109/swc65939.2025.00084","name":"Comparison of small object detection approaches in unmanned aerial vehicle (UAV) images","source":"crossref","abstract":"","url":"https://doi.org/10.1109/swc65939.2025.00084","authors":["Mahdi SadeghiBakhi","Ali Adib Arnab","King Fai Ma","Xin Wang","Henry Leung"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-02-20T21:14:29Z","doi":"10.1109/swc65939.2025.00084","addedAt":"2026-08-31T06:40:05.993Z","updatedAt":"2026-08-31T06:40:05.993Z"},{"id":"doi:10.1063/5.0233018","name":"Predicting the high-angle-of-attack characteristics of an airfoil for micro/unmanned aerial vehicle applications","source":"crossref","abstract":"This study investigates the aerodynamic characteristics of a low-Reynolds-number airfoil at high angles of attack (AoA) from 0° to 90°, focusing on their relevance for micro and unmanned aerial vehicle (MAV/UAV) applications. Simulations are conducted using the k-ω shear stress transport (SST) turbulence model using ANSYS Fluent software. Among the key findings is that the lift coefficient CL increases from 1.2981 at 0° AoA to a peak of 2.034 at 11° before decreasing to 1.51 at 90°, indicating initial lift improvement followed by a reduction due to potential flow separation or stall. The drag coefficient CD increases from 0.0222 at 0° AoA to a peak of 0.3572 at 12°, and then decreases to 0.0467 at 90°, indicating initially increasing turbulence and separation, followed by stabilization in the flow regime. The lift-to-drag ratio L/D reaches its maximum of 32.334 at 90° AoA, highlighting improved aerodynamic efficiency at higher AoAs despite increased drag. The skin friction coefficient Cf shows a maximum of 0.046 918 at the leading edge at 30° AoA and 0.039 426 2 at the trailing edge at 90°, indicating critical points of frictional drag. Additionally, the turbulence viscosity ratio at the LE peaks at 0.5586 at 30° AoA and drops to 0.004 at 90°, while it increases at the trailing edge, reaching 0.039 426 2 at 90°, showing heightened turbulence effects at high AoAs. The present numerical study, however, determines the lift coefficient to be 2.00. This yields a maximum percentage variation of 11.5% compared with the value in the literature. These results provide a comprehensive overview of how high-AoA conditions impact aerodynamic performance, offering valuable insights for optimizing airfoil design and improving MAV/UAV efficiency.","url":"https://doi.org/10.1063/5.0233018","authors":["V. Somashekar","L. Vinod"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-04-04T16:27:55Z","doi":"10.1063/5.0233018","addedAt":"2026-08-31T06:40:05.993Z","updatedAt":"2026-08-31T06:40:05.993Z"},{"id":"doi:10.1109/atc67618.2025.11268766","name":"Potential-Field-Based Formation Control for Unmanned Aerial Vehicle Swarms with a Human-Piloted Leader","source":"crossref","abstract":"","url":"https://doi.org/10.1109/atc67618.2025.11268766","authors":["Taku Noguchi","Masami Yoshida","Tsuyoshi Yasuda"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-12-05T18:37:09Z","doi":"10.1109/atc67618.2025.11268766","addedAt":"2026-08-31T06:40:05.993Z","updatedAt":"2026-08-31T06:40:05.993Z"},{"id":"doi:10.1134/s0005117925600636","name":"Unmanned Aerial Vehicle Image Intelligent Recognition System Based on Machine Learning Algorithm","source":"crossref","abstract":"","url":"https://doi.org/10.1134/s0005117925600636","authors":["Songjian Dan"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-04-24T11:25:23Z","doi":"10.1134/s0005117925600636","addedAt":"2026-08-31T06:40:05.993Z","updatedAt":"2026-08-31T06:40:05.993Z"},{"id":"doi:10.1109/rusautocon65989.2025.11177452","name":"Modeling of the Flight Control System of a Hybrid Unmanned Aerial Vehicle in Take-off and Landing Modes","source":"crossref","abstract":"","url":"https://doi.org/10.1109/rusautocon65989.2025.11177452","authors":["Shamil Sagirov","Alexander Solovyov","Eliza Akhmedova"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-09-30T17:37:01Z","doi":"10.1109/rusautocon65989.2025.11177452","addedAt":"2026-08-31T06:40:05.993Z","updatedAt":"2026-08-31T06:40:05.993Z"},{"id":"doi:10.1117/12.3073908","name":"A comprehensive survey on unmanned aerial vehicle-based single object tracking","source":"crossref","abstract":"","url":"https://doi.org/10.1117/12.3073908","authors":["Bangyin Xiang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-08-08T18:52:34Z","doi":"10.1117/12.3073908","addedAt":"2026-08-31T06:40:05.993Z","updatedAt":"2026-08-31T06:40:05.993Z"},{"id":"doi:10.1109/icecet63943.2025.11472083","name":"Conceptual Design of a Single Rotor Unmanned Aerial Vehicle for Water Health Monitoring","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icecet63943.2025.11472083","authors":["Miguel Juarez Monroy","Afshin Rahimi"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-04-09T19:42:35Z","doi":"10.1109/icecet63943.2025.11472083","addedAt":"2026-08-31T06:40:05.993Z","updatedAt":"2026-08-31T06:40:05.993Z"},{"id":"doi:10.12962/j27745449.v5i2.2722","name":"AERIAL PHOTOGRAPHY USING UNMANNED AERIAL VEHICLE (UAV) FOR TOPOGRAPHIC MAPPING AND DAM ANALYSIS (CASE STUDY: KARANGNONGKO DAM PACKAGE ONE)","source":"crossref","abstract":"Water is a natural resource that is crucial for survival and various industrial, fishery, and agricultural activities. In the use of water, there is often a lack of care in its use and utilization so that efforts are needed to maintain a balance between the availability and needs of water through development, conservation, improvement and protection. The construction of dams, such as the Karangnongko Dam, aims to improve community welfare by providing irrigation water and raw water, as well as potential as a tourist destination. Visualization of the Slope Map, Aspect Map, and Contour Map shows the progress of the Karangnongko Dam construction in August 2024. These maps indicate the dominance of flat areas, the direction of the excavation tends to the northwest, and the contours are tight at the edges and looser in the middle area of the dam.","url":"https://doi.org/10.12962/j27745449.v5i2.2722","authors":["Shafa Nabila Prawitasari","Ayu Raina Nabilah"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-09-02T07:41:42Z","doi":"10.12962/j27745449.v5i2.2722","addedAt":"2026-08-31T06:40:05.993Z","updatedAt":"2026-08-31T06:40:05.993Z"},{"id":"doi:10.23919/isap63122.2025.11362129","name":"5 GHz Band Unmanned Aerial Vehicle-Based Virtual Array Channel Sounding in Indoor and Outdoor Environments","source":"crossref","abstract":"","url":"https://doi.org/10.23919/isap63122.2025.11362129","authors":["Kentaro Saito","Kensei Ishizuka","Sora Kojima"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-02-03T20:52:07Z","doi":"10.23919/isap63122.2025.11362129","addedAt":"2026-08-31T06:40:05.993Z","updatedAt":"2026-08-31T06:40:05.993Z"},{"id":"doi:10.1109/icpics66386.2025.11347274","name":"Research on Collaborative Distribution System Based on Unmanned Aerial Vehicle","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icpics66386.2025.11347274","authors":["Yue Xie","Fangzhi Zhang","Yiting Xiong","Xingye Li"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-01-28T20:54:45Z","doi":"10.1109/icpics66386.2025.11347274","addedAt":"2026-08-31T06:40:05.993Z","updatedAt":"2026-08-31T06:40:05.993Z"},{"id":"doi:10.1134/s1054661825700798","name":"The Segmentation of Unmanned Aerial Vehicle-Derived Aerial Photographs to Identify Anthropogenic Changes","source":"crossref","abstract":"","url":"https://doi.org/10.1134/s1054661825700798","authors":["S. A. Buzmakov","L. S. Kuchin","N. A. Permyakov","E. B. Zamyatina"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-04-28T15:26:29Z","doi":"10.1134/s1054661825700798","addedAt":"2026-08-31T06:40:05.993Z","updatedAt":"2026-08-31T06:40:05.993Z"},{"id":"doi:10.1117/12.3083209","name":"Research on real-time vehicle recognition for unmanned aerial vehicles based on YOLOv5","source":"crossref","abstract":"","url":"https://doi.org/10.1117/12.3083209","authors":["Xinyuan Wang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-08-28T18:24:46Z","doi":"10.1117/12.3083209","addedAt":"2026-08-31T06:40:05.993Z","updatedAt":"2026-08-31T06:40:05.993Z"},{"id":"doi:10.3390/rs17223690","name":"Post-Fire Streamflow Prediction: Remote Sensing Insights from Landsat and an Unmanned Aerial Vehicle","source":"crossref","abstract":"Wildfire-induced disturbances to soil and vegetation can significantly impact streamflows for years, depending upon the degree of burn severity. Accurately predicting the effects of wildfire on streamflow at the watershed scale is essential for effective water budget management. This study presents a novel approach to generating a burn severity map on a small scale by integrating unmanned aerial vehicle (UAV)-based thermal imagery with Landsat-derived Differenced Normalized Burn Ratio (dNBR) and upscaling burned severity to the entire burned area. The approach was applied to the Thompson Ridge Fire perimeter, and the upscaled UAV-Landsat-based burn severity map achieved an overall accuracy of ~73% and a kappa coefficient of ~0.62 when compared with the Burned Area Emergency Response’s (BAER) fire product as a reference map, indicating moderate accuracy. We then tested the transferability of burn severity information to a Beaver River watershed by applying Random Forest models. Predictors included topography, spectral bands, vegetation indices, fuel, land cover, fire information, and soil properties. We calibrated and validated the Distributed Hydrology Soil Vegetation Model (DHSVM) against observed streamflow and Snow Water Equivalent (SWE) data within the Beaver River watershed and measured model performance using Nash–Sutcliffe Efficiency (NSE), Kling–Gupta Efficiency (KGE), and Percent Bias (PBIAS) metrics. We adjusted soil (maximum infiltration rate) and vegetation (fractional vegetation cover, snow interception efficiency, and leaf area index) parameters for the post-fire model setup and simulated streamflow for the post-fire years without vegetation regrowth. Streamflow simulations using the upscaled and transferred UAV-Landsat burn severity map and the Burned Area Emergency Response’s (BAER) fire product produced similar post-fire hydrologic responses, with annual average flows increasing under both approaches and the UAV-Landsat-based simulation yielding slightly lower values, by less than 6% compared to the BAER-based simulation. Our results demonstrate that the UAV-satellite integration method offers a cost- and time-effective method for generating a burn severity map, and when combined with the transferability method and hydrologic modeling, it provides a practical framework for predicting post-fire streamflow in both burned and unburned watersheds.","url":"https://doi.org/10.3390/rs17223690","authors":["Bibek Acharya","Michael E. Barber"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-11-12T08:34:58Z","doi":"10.3390/rs17223690","addedAt":"2026-08-31T06:40:05.993Z","updatedAt":"2026-08-31T06:40:05.993Z"},{"id":"doi:10.3390/drones9030205","name":"Assessing Seasonal and Diurnal Thermal Dynamics of Water Channel and Highway Bridges Using Unmanned Aerial Vehicle Thermography","source":"crossref","abstract":"Bridges are critical components of modern infrastructure, yet their long-term performance is often compromised by thermal stresses induced by environmental and material factors. Despite advances in remote sensing, characterizing the complex thermal dynamics of bridge structures remains challenging. In this study, we investigate the seasonal and diurnal thermal behavior of two common bridge types—a water channel bridge with paving stone surfacing and a highway bridge with asphalt surfacing—using high-resolution UAV thermography. A pre-designed photogrammetric flight plan (yielding a ground sampling distance of &lt;5 cm) was implemented to acquire thermal and visual imagery during four distinct temporal windows (winter morning, winter evening, summer morning, and summer evening). The methodology involved generating thermal orthophotos via structure-from-motion techniques, extracting systematic temperature measurements (n=150 per bridge), and analyzing these using independent-samples and paired t-tests to quantify material-specific thermal responses and environmental coupling effects. The results reveal that the water channel bridge exhibited significantly lower thermal variability (1.54–3.48 °C) compared to the highway bridge (3.27–5.66 °C), with pronounced differences during winter mornings (Cohen’s d=2.03, p&lt;0.001). Furthermore, material properties strongly modulated thermal dynamics, as evidenced by the significant temperature differentials between the paving stone and asphalt surfaces, while ambient conditions further influence surface–ambient coupling (r=0.961 vs. 0.975). The results provide UAV-based quantitative metrics for bridge thermal assessment and empirical evidence to support the temporal monitoring of bridges with varying materials and environmental conditions for future studies.","url":"https://doi.org/10.3390/drones9030205","authors":["Abdulkadir Memduhoğlu","Nizar Polat"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-03-13T04:18:32Z","doi":"10.3390/drones9030205","addedAt":"2026-08-31T06:40:05.993Z","updatedAt":"2026-08-31T06:40:05.993Z"},{"id":"doi:10.3390/drones9010044","name":"Optimal Positioning of Unmanned Aerial Vehicle (UAV) Base Stations Using Mixed-Integer Linear Programming","source":"crossref","abstract":"In wireless communications, traditional base stations act as the backbone for providing network connectivity to users. These base stations, however, require significant resources to construct and are therefore not suitable for remote areas and disaster scenarios. This challenge makes them unfit for deployment in remote areas or in disaster scenarios where fast network establishment is necessary. To address these challenges, cellular base stations installed on Unmanned Aerial Vehicles (UAVs) can be an alternative solution. UAVs provide quick deployment capability and can adapt to changing environmental situations, making them ideal for dynamic network scenarios. In this paper, we address the critical issue of UAV positioning to maximize the total user coverage, which can be formulated as a mixed-integer linear program. Given the complexity of larger-scale scenarios related to the number of users, we suggest a two-step method. First, we group users into clusters, and then we optimize the UAV positions with respect to these clusters. This approach introduces a trade-off between computational time efficiency and optimality, which can be tuned by adjusting the number of clusters. By varying the number of clusters, we balance computation time with the optimality of the UAV locations, allowing flexible deployment in diverse scenarios.","url":"https://doi.org/10.3390/drones9010044","authors":["Gowtham Raj Veeraswamy Premkumar","Bryan Van Scoy"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-01-10T06:25:54Z","doi":"10.3390/drones9010044","addedAt":"2026-08-31T06:40:05.993Z","updatedAt":"2026-08-31T06:40:05.993Z"},{"id":"doi:10.22266/ijies2025.0531.33","name":"A Deep Learning Paradigm for Intrusion Detection in Unmanned Aerial Vehicle Networks Using Extended LSTM","source":"crossref","abstract":"","url":"https://doi.org/10.22266/ijies2025.0531.33","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-04-14T03:08:20Z","doi":"10.22266/ijies2025.0531.33","addedAt":"2026-08-31T06:40:05.993Z","updatedAt":"2026-08-31T06:40:05.993Z"},{"id":"doi:10.3103/s1068799825030092","name":"Investigation of Mobile Platform Characteristics for Automatic Landing of Unmanned Aerial Vehicle","source":"crossref","abstract":"","url":"https://doi.org/10.3103/s1068799825030092","authors":["V. A. Suslov","S. V. Gagarskii"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-02-13T05:40:50Z","doi":"10.3103/s1068799825030092","addedAt":"2026-08-31T06:40:05.993Z","updatedAt":"2026-08-31T06:40:05.993Z"},{"id":"doi:10.1016/j.omega.2024.103231","name":"Pre-occurrence location-allocation-configuration of maritime emergency resources considering shipborne unmanned aerial vehicle (UAV)","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.omega.2024.103231","authors":["Yuzhen Hu","Min Wang","Xinghai Guo","Valery F. Lukinykh"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-11-15T21:00:49Z","doi":"10.1016/j.omega.2024.103231","addedAt":"2026-08-31T06:40:05.993Z","updatedAt":"2026-08-31T06:40:05.993Z"},{"id":"doi:10.1016/j.ins.2024.121366","name":"LUD-YOLO: A novel lightweight object detection network for unmanned aerial vehicle","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.ins.2024.121366","authors":["Qingsong Fan","Yiting Li","Muhammet Deveci","Kaiyang Zhong","Seifedine Kadry"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-08-16T19:03:06Z","doi":"10.1016/j.ins.2024.121366","addedAt":"2026-08-31T06:40:05.993Z","updatedAt":"2026-08-31T06:40:05.993Z"},{"id":"doi:10.1142/s2301385025500128","name":"Autonomous Navigation of Unmanned Aerial Vehicle: Investigating Architectures and Techniques for a Flexible Platform","source":"crossref","abstract":"Unmanned aerial vehicles (UAVs) have a significant impact on the aircraft industry and are used for both military and civilian purposes. The partial or full automation of UAVs is an active research domain that is attracting interest from both the industrial and academic sectors. This paper presents a comprehensive review of UAVs, their architectures, and techniques used for autonomous navigation. Autonomous navigation requires the ability to recognize and avoid obstacles, which can be achieved using visual, non-visual, or hybrid techniques. These methods use computer vision and machine learning algorithms and are implemented on a computer system, which may or may not be embedded in the vehicle. After investigating the existing architectures and techniques, a flexible platform is designed. This platform combines the advantages of the existing architectures, materials, and methods. It is based on a compact architecture with the possibility of external communication. This platform is mainly composed of a companion computer for complex tasks like obstacle detection and path planning during mission. When implementing this platform, it is crucial to take into account the capabilities of the companion computer processor and appropriately select techniques. Finally, the paper suggests potential areas for future research in this field.","url":"https://doi.org/10.1142/s2301385025500128","authors":["Hervé B. Olou","Eugène C. Ezin","Jean Marie Dembele","Christophe Cambier"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-10-31T10:08:47Z","doi":"10.1142/s2301385025500128","addedAt":"2026-08-31T06:40:05.993Z","updatedAt":"2026-08-31T06:40:05.993Z"},{"id":"doi:10.54254/2755-2721/2025.20978","name":"Model Reference Adaptive Attitude Control of a Quadrotor Unmanned Aerial Vehicle","source":"crossref","abstract":"This study explores the integration of the adaptive control approach with the Model Reference Adaptive Control (MRAC) method, with a view to examining the impact of this integration on the performance of dynamic systems. Adaptive control is highlighted as a versatile and robust methodology that enables systems to cope with uncertainties and adapt to rapidly changing conditions in their operating environments. As a branch of adaptive control, the MRAC method focuses on efficiently achieving desired performance objectives by adjusting system parameters based on a predefined reference model. The primary focus is on investigating how these methods can be applied to optimize the functionality of systems characterized by dynamic and variable nature, such as unmanned aerial vehicles. By addressing challenges related to uncertainties, disturbances, and adaptability, the integration of adaptive control with the MRAC method demonstrates significant potential in improving the robustness, responsiveness, and reliability of such systems. This research investigates the performance of adaptive techniques in enhancing the capabilities of modern control systems. The objective of the research is to assess the effectiveness of MRAC in terms of reference signal tracking. Simulation results demonstrate the ability of MRAC to maintain accurate tracking of the desired reference for key vehicle dynamics, including roll, pitch and yaw. The results demonstrate the robustness of the MRAC algorithm in attitude control, which may lead to support for sustainability issues such as energy consumption.","url":"https://doi.org/10.54254/2755-2721/2025.20978","authors":["İdil Sena Durukan","Harun Çelik"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-02-21T01:53:02Z","doi":"10.54254/2755-2721/2025.20978","addedAt":"2026-08-31T06:40:05.993Z","updatedAt":"2026-08-31T06:40:05.993Z"},{"id":"doi:10.54254/2753-8818/2025.ad27153","name":"Primary Parameter Detection of Unmanned Aerial Vehicle Radio Energy Transmission System and Controller Design","source":"crossref","abstract":"UAV wireless power transfer (WPT) systems face a conflict between lightweight and robustness. Traditional control relies on communication modules, adding weight and lacking stability in complex electromagnetic environments. To resolve this, a primary-side parameter detection control scheme without receiver communication is proposed, constructing a \"parameter self-sensing-robust control\" collaborative optimization framework. S-P topology enables no-load parameter detection and load decoupling; robustness is enhanced via generalized state space averaging model reduction (Hankel singular value analysis) and coprime factor perturbation H∞loop shaping controller. Electromagnetic field simulation optimizes coupling mechanism design for efficient energy transfer. Experiments validate primary-side mutual inductance detection accuracy, receiver state estimation precision, and communication-free closed-loop control implementation. The designed H∞ controller exhibits good robustness in non-minimum phase systems, verifying its effectiveness in complex electromagnetic environments. This research provides theoretical support and implementation paths for UAV WPT engineering applications, advancing smart city infrastructure upgrading.","url":"https://doi.org/10.54254/2753-8818/2025.ad27153","authors":["Xueze Gao"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-09-24T10:01:15Z","doi":"10.54254/2753-8818/2025.ad27153","addedAt":"2026-08-31T06:40:05.993Z","updatedAt":"2026-08-31T06:40:05.993Z"},{"id":"doi:10.1109/iwceaa68605.2025.11352096","name":"An Optimization Method for Unmanned Aerial Vehicle Smoke Screen Deployment Strategy Based on the Shadow Cone Model","source":"crossref","abstract":"","url":"https://doi.org/10.1109/iwceaa68605.2025.11352096","authors":["Tuyun Lan"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-01-28T20:56:39Z","doi":"10.1109/iwceaa68605.2025.11352096","addedAt":"2026-08-31T06:40:05.993Z","updatedAt":"2026-08-31T06:40:05.993Z"},{"id":"doi:10.36922/msam025290065","name":"Optimizing 3D printing parameters for lightweight and high-strength unmanned aerial vehicle parts","source":"crossref","abstract":"Additive manufacturing, particularly fused deposition modelling (FDM), has gained increasing attention in aerospace applications due to its capability to produce complex geometries with reduced material usage, making it a promising approach for manufacturing lightweight yet strong unmanned aerial vehicle (UAV) parts. In this study, an integrated framework was developed to optimize FDM parameters for producing UAV parts that are both lightweight and high in strength. A response surface methodology was used to analyze the effects of infill percentage, layer height, number of walls, and build plate temperature on the mass and tensile strength of the printed parts. Two regression models with high predictive accuracy were constructed (R2 = 98.2% for mass, R2 = 88.5% for tensile strength). A multi-objective optimization approach was applied, using the non-dominated sorting genetic algorithm II Pareto front analysis in combination with Minitab&amp;rsquo;s Response Optimizer tool, to identify the optimal combination of parameters. The results showed that layer height, number of walls, and infill percentage, along with their interaction effects and quadratic effects, had the most significant effects on both mass and tensile strength, whereas build plate temperature had negligible effects. The results from the Pareto front analysis revealed the trade-off between minimizing mass and maximizing tensile strength for the parts. The optimal parameter settings (e.g., 58.26% infill percentage, 0.1635-mm layer height, 4 walls, and 65&amp;deg;C build plate temperature) achieved a tensile strength of 47.08 MPa and a mass of 1.60 g, offering a well-balanced strength-to-weight ratio suitable for UAV applications.","url":"https://doi.org/10.36922/msam025290065","authors":["Saleem Ramadan","Mohammad Abu-Shams"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-11-06T03:51:01Z","doi":"10.36922/msam025290065","addedAt":"2026-08-31T06:40:05.993Z","updatedAt":"2026-08-31T06:40:05.993Z"},{"id":"doi:10.1109/icot68409.2025.11425548","name":"A Study on the Government-Industry-University collaborative Innovation Mechanism in the Unmanned Aerial Vehicle Industry of Changzhou","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icot68409.2025.11425548","authors":["Yun Shi","Yao Wang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-03-12T20:31:31Z","doi":"10.1109/icot68409.2025.11425548","addedAt":"2026-08-31T06:40:05.993Z","updatedAt":"2026-08-31T06:40:05.993Z"},{"id":"doi:10.1109/icaiccit68829.2025.11434098","name":"Real-Time Kinematic-Enabled Unmanned Aerial Vehicle Platform for High-Accuracy Inspection","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icaiccit68829.2025.11434098","authors":["Priyanshu","Gurleen Kaur","Avani Sharma"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-03-19T20:04:02Z","doi":"10.1109/icaiccit68829.2025.11434098","addedAt":"2026-08-31T06:40:05.993Z","updatedAt":"2026-08-31T06:40:05.993Z"},{"id":"doi:10.2139/ssrn.5224482","name":"Jamming-Resilient Unmanned Aerial Vehicle Reconnaissance Strategy Using Hybrid Ordinary Differential Equation and Deep Reinforcement Learning","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.5224482","authors":["Shixun You","Yuxuan Zhu","Zhexuan Huang","Xiang Zhu","Yun Zhang","Qiaofeng Au"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-04-21T13:37:18Z","doi":"10.2139/ssrn.5224482","addedAt":"2026-08-31T06:40:05.993Z","updatedAt":"2026-08-31T06:40:05.993Z"},{"id":"doi:10.1007/s11227-025-07349-w","name":"Fusion of optimal cross-stage partial net with context-aware segmentation for enhanced damage detection in civil infrastructures using thermal images","source":"crossref","abstract":"","url":"https://doi.org/10.1007/s11227-025-07349-w","authors":["Maryam Shahzadi","Muhammad Zeeshan Khan","Asim Khan","Umar Ali","Muhammad Arshad Shehzad Hassan"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-05-22T16:27:49Z","doi":"10.1007/s11227-025-07349-w","addedAt":"2026-08-31T06:40:05.993Z","updatedAt":"2026-08-31T06:40:05.993Z"},{"id":"doi:10.1515/9783111619323-016","name":"40516 Quantum Machine Learning for Sensor Fusion","source":"crossref","abstract":"","url":"https://doi.org/10.1515/9783111619323-016","authors":["M. Arun Anoop","P. Karthikeyan"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-08-04T11:29:17Z","doi":"10.1515/9783111619323-016","addedAt":"2026-08-31T06:40:05.993Z","updatedAt":"2026-08-31T06:40:05.993Z"},{"id":"doi:10.1201/9781003532323-7","name":"Federated Learning in Heterogeneous Unmanned Aerial Vehicle","source":"crossref","abstract":"","url":"https://doi.org/10.1201/9781003532323-7","authors":["N. Sathish","D. Manibharathi","V. Yokesh","Danilo Pelusi"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-06-20T18:53:47Z","doi":"10.1201/9781003532323-7","addedAt":"2026-08-31T06:40:05.993Z","updatedAt":"2026-08-31T06:40:05.993Z"},{"id":"doi:10.61514/ieeep.v104i1.279","name":"Design and Analysis of Multirotor Unmanned Aerial Vehicle","source":"crossref","abstract":"This study primarily focuses on the design and structural analysis of the drone body using modern engineering softwares. A structural analysis of the arms of a multicopter with a motor mounted is considered necessary for design optimization and high endurance. The drone body is comprised of multiple components, so it cannot be considered a single body. It is assembled by connecting different components, such as arms, base plate, and top plate. As a result, rather than a linear analysis, a non-linear analysis is carried out for the frame structure. The deformation of the drone body is caused by the maximum payload attached to it. Static structural analysis was carried out in order to create a rigid body that is as light as it can be, while still being able to endure loads applied by thrust, drone weight, and payload. SOLIDWORKS was used to create the CAD model, which was then analyzed using the ANSYS simulation tool. Static structural analysis and impact analysis were performed in order to achieve good strength and optimum weight of the drone body. Because of this, it was opted to build drone body frame design using a material that has adequate strength and is cost effective.","url":"https://doi.org/10.61514/ieeep.v104i1.279","authors":["Muhammad Umair","Usama Tahir","Syed Irtiza Ali Shah","Nadeem Hussain"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-01-17T11:15:16Z","doi":"10.61514/ieeep.v104i1.279","addedAt":"2026-08-31T06:40:05.993Z","updatedAt":"2026-08-31T06:40:05.993Z"},{"id":"doi:10.18287/2412-6179-co-1569","name":"Analysis of video data from an unmanned aerial vehicle based on a structural similarity index","source":"crossref","abstract":"The article proposes a metric for the analysis of video data recorded by an unmanned aerial vehicle that uses a structural similarity index for evaluation. The metric consists in comparing frames in terms of brightness, contrast and pixel structure and a subsequent assessment of the video frame state. A comparative analysis of the proposed and currently employed metrics was carried out. The research included simulations on analog and digital video data at different frame rates. The results showed that the developed metric successfully detects delays, frame distortions and dynamic changes in a video scene. The proposed metric can find a wide range of applications of unmanned aerial vehicles in applied areas: construction, agriculture, geology and cartography.","url":"https://doi.org/10.18287/2412-6179-co-1569","authors":["P.A. Lyakhov","A.R. Orazaev"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-11-16T16:45:41Z","doi":"10.18287/2412-6179-co-1569","addedAt":"2026-08-31T06:40:05.993Z","updatedAt":"2026-08-31T06:40:05.993Z"},{"id":"doi:10.3390/app15158461","name":"Unmanned Aerial Vehicle Path Planning Based on Sparrow-Enhanced African Vulture Optimization Algorithm","source":"crossref","abstract":"Drones can improve the efficiency of point-to-point logistics and distribution and reduce labor costs; however, the complex three-dimensional airspace environment poses significant challenges for flight paths. To address this demand, this paper proposes a hybrid algorithm that integrates the Sparrow Search Algorithm (SSA) with the African Vulture Optimization Algorithm (AVOA). Firstly, the algorithm introduces Sobol sequences at the population initialization stage to optimize the initial population; then, we incorporate SSA’s discoverer and vigilant mechanisms to balance exploration and exploitation and enhance global exploration capabilities; finally, multi-guide differencing and dynamic rotation transformation strategies are introduced in the first exploitation phase to enhance the direction of local exploitation by fusing multiple pieces of information; the second exploitation phase achieved a dynamic balance between elite guidance and population diversity through adaptive weight adjustment and enhanced Lévy flight strategy. In this paper, a three-dimensional model is built under a variety of constraints, and SAVOA (Sparrow-Enhanced African Vulture Optimization Algorithm) is compared with a variety of popular algorithms in simulation experiments. SAVOA achieves the optimal path in all scenarios, verifying the efficiency and superiority of the algorithm in UAV logistics path planning.","url":"https://doi.org/10.3390/app15158461","authors":["Weixiang Zhu","Xinghong Kuang","Haobo Jiang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-07-30T14:29:02Z","doi":"10.3390/app15158461","addedAt":"2026-08-31T06:40:05.993Z","updatedAt":"2026-08-31T06:40:05.993Z"},{"id":"doi:10.3390/drones9100705","name":"Design of a Reinforcement Learning-Based Speed Compensator for Unmanned Aerial Vehicle in Complex Environments","source":"crossref","abstract":"Due to the complexity of the marine environment and the uncertainty of ship movements, altitude control of UAV is particularly important when approaching and landing on the deck of a ship. This paper focuses on unmanned helicopters as its research subject. Conventional altitude control systems may have difficulty in ensuring fast and stable landings under certain extreme conditions. Therefore, designing a new UAV altitude control method that can adapt to complex sea conditions has become a current problem to be solved. Designing a reinforcement learning based rotational speed compensator for UAV as a redundant controller to optimise UAV altitude control performance for the above problem. The compensator is capable of adjusting the UAV’s rotational speed in real time to compensate for altitude deviations due to external environmental disturbances and the UAV’s own dynamic characteristics. By introducing reinforcement learning algorithms, especially the DDPG algorithm, this compensator is able to learn the optimal RPM adjustment strategy in a continuous trial-and-error process, which improves the UAV’s rapidity and stability during the landing process.","url":"https://doi.org/10.3390/drones9100705","authors":["Guanyu Chen","Pengyu Feng","Xinhua Wang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-10-15T10:12:29Z","doi":"10.3390/drones9100705","addedAt":"2026-08-31T06:40:05.993Z","updatedAt":"2026-08-31T06:40:05.993Z"},{"id":"doi:10.2139/ssrn.5125972","name":"Early Season Dominant Weed Mapping in Maize Field Using Unmanned Aerial Vehicle (Uav) Imagery: Towards Developing Prescription Map","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.5125972","authors":["Ghazal Shafiee Sarvestani","Mohsen Edalat","Alimohammad Shirzadifar","Hamid Reza Pourghasemi"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-02-05T18:36:56Z","doi":"10.2139/ssrn.5125972","addedAt":"2026-08-31T06:40:05.993Z","updatedAt":"2026-08-31T06:40:05.993Z"},{"id":"doi:10.2139/ssrn.5264055","name":"Speech-Guided Unmanned Aerial Vehicle Control System Based on Large Language Model-Structured Execution Graphs with Expert Rule Constraints","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.5264055","authors":["Seok-Hun Choi","Zeen-Chul Kim","Seok-Jun Buu"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-05-21T23:36:53Z","doi":"10.2139/ssrn.5264055","addedAt":"2026-08-31T06:40:05.993Z","updatedAt":"2026-08-31T06:40:05.993Z"},{"id":"pmid:40647917","name":"Classification of Nitrogen-Efficient Wheat Varieties Based on UAV Hyperspectral Remote Sensing.","source":"pubmed","abstract":"Aiming at tackling the challenges of traditional classification methods, which are labor-intensive, time-consuming, and inefficient, a nitrogen-efficient wheat variety classification method using support vector machine-extreme gradient boosting (SVM-XGBoost) based on unmanned aerial vehicle (UAV) hyperspectral remote sensing was proposed in this study. First, eight agronomic indicators closely related to wheat nitrogen efficiency were analyzed using t-SNE dimensionality reduction and hierarchical clustering, enabling the classification of 12 wheat varieties into nitrogen-efficient and nitrogen-inefficient varieties under different nitrogen stress conditions. Second, a hyperspectral feature band selection method based on least absolute shrinkage and selection operator-competitive adaptive reweighted sampling (Lasso-CARS) was employed using hyperspectral canopy data collected during the wheat heading stage with an UAV to extract feature bands relevant to nitrogen-efficient wheat classification. This approach aimed to mitigate the impact of high collinearity and noise in high-dimensional hyperspectral data on model construction. Furthermore, the SVM-XGBoost method integrated the extracted feature bands with the support vectors and decision function outputs from the preliminary SVM classification. It then leveraged XGBoost to capture nonlinear relationships and construct the final classification model using gradient-boosted trees, achieving intelligent classification of nitrogen-efficient wheat varieties. The model also selected nitrogen fertilization strategies based on the characteristics of different wheat varieties. The results demonstrated robust performance under low, high, and no nitrogen stress, with average overall accuracies of 74%, 83%, and 70% (Kappa coefficients: 0.67, 0.80, and 0.48), respectively. This study provided an efficient and accurate UAV hyperspectral remote sensing-based method for nitrogen-efficient wheat variety classification, offering a technological foundation to accelerate precision breeding.","url":"https://pubmed.ncbi.nlm.nih.gov/40647917/","authors":["Li Y","Wang C","Zhu J","Wang Q","Liu P"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025 Jun 20","doi":"10.3390/plants14131908","addedAt":"2026-08-31T06:40:05.994Z","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"pmid:40643309","name":"Abnormal Audiogram Risk Factors in Military Aircrew and Ground-Based Aviation Personnel.","source":"pubmed","abstract":"The military aviation environment is inherently noisy, with occupational noise hazards from a variety of sources. At the same time, it demands good binaural auditory acuity and speech discrimination abilities for the safe and effective performance of flight duties. This study aimed to 1) examine the burden, characteristics, and severity of abnormal audiograms among military aircrew and ground-based aviation personnel in the Republic of Singapore Air Force; and 2) elicit the risk factors associated with abnormal audiograms.","url":"https://pubmed.ncbi.nlm.nih.gov/40643309/","authors":["Seah BZQ","Ng WT","Gan WH","Low JW","See B"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025 May","doi":"10.3357/AMHP.6604.2025","addedAt":"2026-08-31T06:40:05.994Z","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"pmid:40638691","name":"YOLO-GML: An object edge enhancement detection model for UAV aerial images in complex environments.","source":"pubmed","abstract":"Uav target detection is a key technology in low altitude security, disaster relief and other fields. However, in practical application scenarios, there are many complex and highly uncertain factors, such as extreme weather changes, large scale and span of the target, complex background interference, motion ambiguity, etc., which makes accurate and real-time UAV target detection still a great challenge. In order to reduce the interference of these situations in real detection scenes and improve the accuracy of UAV detection, a Global Edge Information Enhance (GEIE)module is proposed in this paper, which enables edge information to be fused into features extracted at various scales. It can improve the attention of the network to the edge information of the object. In addition, special weather conditions can greatly reduce the detection accuracy of the target, this paper proposes a Multiscale Edge Feature Enhance(MEFE) module to extract features from different scales and highlight edge information, which can improve the model's perception of multi-scale features. Finally, we propose a Lightweight layered Shared Convolutional BN(LLSCB) Detection Head based on LSCD, so that the detection heads share the convolutional layer, and the BN is calculated independently, which improves the detection accuracy and reduces the number of parameters. A high performance YOLO detector (YOLO-GML) based on YOLO11 model is proposed. Experimental results show that Compared with YOLO11s, YOLO-GML can improve AP50 by 2.3% to 73.6% on the challenging UAV detection dataset HazyDet, achieving a better balance between accuracy and inference efficiency compared to the most advanced detection algorithms. YOLO-GML also showed good performance improvement in the SODA-A and VisDrone-2019 datasets, demonstrating the generalization of the model.","url":"https://pubmed.ncbi.nlm.nih.gov/40638691/","authors":["Zheng Z","Zhao J","Fan J"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.1371/journal.pone.0328070","addedAt":"2026-08-31T06:40:05.994Z","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"pmid:40623028","name":"Planning trajectory for UAVs using the self-organizing migrating algorithm.","source":"pubmed","abstract":"Ensuring efficient and safe trajectory planning for UAVs in complex and dynamic environments is a critical challenge, especially for UAVs that are increasingly deployed in applications like environmental monitoring, disaster management, and surveillance. The primary complications in the safe control of UAVs include real-time obstacle avoidance, adaptation to unpredictable environmental changes, and coordination among multiple UAVs to prevent collisions. This paper addresses these challenges by proposing a novel approach for UAV trajectory planning that integrates obstacle avoidance and target acquisition. We introduce a new cost function designed to minimize the distance to the target while maximizing the distance from obstacles, effectively balancing these competing objectives to ensure safety and efficiency. To optimize this cost function, we employ the self-organizing migrating algorithm, a swarm intelligence algorithm inspired by the cooperative and competitive behaviors observed in natural organisms. Our method enables UAVs to autonomously generate safe and efficient paths in real-time, adapt to dynamic changes, and scale to large swarms without relying on centralized control. Simulation results across three scenarios-including a complex environment with ten UAVs and multiple obstacles-demonstrate the effectiveness of our approach. The UAVs successfully reach their targets while avoiding collisions, confirming the reliability and robustness of the proposed method. This work contributes to advancing autonomous UAV operations by providing a scalable and adaptable solution for trajectory planning in challenging environments.","url":"https://pubmed.ncbi.nlm.nih.gov/40623028/","authors":["Diep QB","Truong TC","Zelinka I"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.1371/journal.pone.0327016","addedAt":"2026-08-31T06:40:05.994Z","updatedAt":"2026-08-31T06:40:09.763Z"},{"id":"pmid:40621983","name":"Uncovering dominant drivers of Erigeron annuus distribution in Dajiuhu-Shennongjia wetland using multiscale remote sensing data.","source":"pubmed","abstract":"As a pernicious invasive species, Erigeron annuus (L.) pers. (EAP) poses a significant threat to the biodiversity and ecosystem in Dajiuhu-Shennongjia, China. Predicting potential areas of EAP invasion is essential for improving management efficiency and minimizing resource waste. Thus, we developed a new flowering index called the Erigeron Annuus Index (EAI) and combined it with multisource data fusion to map the EAP distribution, then built a predictive model using EAP occurrence data along with geographic and environmental drivers.","url":"https://pubmed.ncbi.nlm.nih.gov/40621983/","authors":["Xu B","Meng R","Zhao P","Zhao F","Wang Y","Deng W","Yang X","Liu J","Tian H"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025 Oct","doi":"10.1002/ps.70033","addedAt":"2026-08-31T06:40:05.994Z","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"pmid:40615432","name":"Multi class aerial image classification in UAV networks employing Snake Optimization Algorithm with Deep Learning.","source":"pubmed","abstract":"In Unmanned Aerial Vehicle (UAV) networks, multi-class aerial image classification (AIC) is crucial in various applications, from environmental monitoring to infrastructure inspection. Deep Learning (DL), a powerful tool in artificial intelligence (AI), proves significant in this context, enabling the model to analyze and classify complex aerial images effectually. By utilizing advanced neural network architectures, such as convolutional neural networks (CNN), DL models outperform at identifying complex features and patterns within the aerial imagery. These models can extract spectral and spatial information from the captured data, classifying diverse terrains, structures, and objects precisely. Furthermore, the integration of Snake Optimization algorithms assists in fine-tuning the classification process, improving accuracy. As UAV networks continue to expand, DL-powered multi-class AIC significantly enhances the performance of surveillance, reconnaissance, and remote sensing tasks, contributing to the advancement of autonomous aerial systems. This study proposes a Snake Optimization Algorithm with Deep Learning for Multi-Class Aerial Image Classification (SOADL-MCAIC) methodology on UAV Networks. The main purpose of SOADL-MCAIC methodology is to recognize the presence of multiple classes of aerial images on the UAV networks. To accomplish this, the SOADL-MCAIC technique utilizes Gaussian filtering (GF) for pre-processing. In addition, the SOADL-MCAIC technique employs the Efficient DenseNet model to learn difficult and intrinsic features in the image. The SOA-based hyperparameter tuning process is used to enhance the performance of the Efficient DenseNet technique. Finally, the kernel extreme learning machine (KELM)-based classification algorithm is implemented to identify and classify the presence of various classes in aerial images. The simulation outcomes of the SOADL-MCAIC method are examined under the UCM land use dataset. The experimental analysis of the SOADL-MCAIC method portrayed a superior accuracy value of 99.75% over existing models.","url":"https://pubmed.ncbi.nlm.nih.gov/40615432/","authors":["Al Mazroa A","Alruwais N","Saeed MK","Othman KM","Allafi R","Salama AS"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.1038/s41598-025-04570-8","addedAt":"2026-08-31T06:40:05.994Z","updatedAt":"2026-08-31T06:40:09.764Z"},{"id":"pmid:40609600","name":"Direct numerical simulations of dragonfly-inspired corrugated tandem airfoils at low Reynolds number.","source":"pubmed","abstract":"A corrugated wing is known to significantly enhance aerodynamic efficiency in the low Reynolds number regime. Although the result may be relatable directly to two-winged insects, larger insects flying at similar Reynolds numbers, like dragonflies, have four wings, and the role of the gap between the fore and hind wings in flight has rarely been analyzed. In particular, we perform direct numerical simulations of the flow past a tandem corrugated airfoil configuration at a chord Reynolds number of 10 4 that is of relevance to the micro-unmanned aerial vehicle (MAV) community. We assessed the tandem wing configuration for different horizontal and vertical offsets. In general, the aerodynamic efficiency for tandem configurations is quite high (&#x223c;&#x2009;10). Furthermore, we find that vertical offsets have a greater impact on aerodynamic forces than horizontal offsets. Positioning the hindwing below the forewing improves aerodynamic efficiency compared to placing the hindwing above because of the generation of a favorable pressure gradient on the forewing. The vortex shedding and correlations evaluate the hindwing/forewing interaction and the fluctuation of the forces. The horizontal offset results demonstrate improved aerodynamic efficiency and reduced flow unsteadiness as the gap between the two wings is minimized, primarily because the interaction between the forewing's wake and the hindwing is suppressed. A study with NACA 0008 is done to corroborate the range of optimal configurations and assess performance benefits of corrugated profile. In addition, the study reveals that the tandem wing configuration maintains efficiency comparable to that of a single wing, allowing us to utilize its advantages for MAV applications.","url":"https://pubmed.ncbi.nlm.nih.gov/40609600/","authors":["Adak R","Mandal A","Saha S"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025 Jul 15","doi":"10.1088/1748-3190/adebcf","addedAt":"2026-08-31T06:40:05.994Z","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"pmid:40603607","name":"DASNet a dual branch multi level attention sheep counting network.","source":"pubmed","abstract":"Grassland sheep counting is essential for both animal husbandry and ecological balance. Accurate population statistics help optimize livestock management and sustain grassland ecosystems. However, traditional counting methods are time-consuming and costly, especially for dense sheep herds. Computer vision offers a cost-effective and labor-efficient alternative, but existing methods still face challenges. Object detection-based counting often leads to overcounts or missed detections, while instance segmentation requires extensive annotation efforts. To better align with the practical task of counting sheep on grasslands, we collected the Sheep1500 UAV Dataset using drones in real-world settings. The varying flight altitudes, diverse scenes, and different density levels captured by the drones endow our dataset with a high degree of diversity. To address the challenge of inaccurate counting caused by background object interference in this dataset, we propose a dual-branch multi-level attention network based on density map regression. DASNet is built on a modified VGG-19 architecture, where a dual-branch structure is employed to integrate both shallow and deep features. A Conv Convolutional Block Attention Layer (CCBL) is incorporated into the network to more effectively focus on sheep regions, alongside a Multi-Level Attention Module (MAM) in the deep feature branch. The MAM, consisting of three Light Channel and Pixel Attention Modules (LCPM), is designed to refine feature representation at both the channel and pixel levels, improving the accuracy of density map generation for sheep counting. In addition, a residual structure connects each module, facilitating feature fusion across different levels and offering increased flexibility in handling diverse information. The LCPM leverages the advantages of attention mechanisms to more effectively extract multi-scale global features of the sheep regions, thereby helping the network to reduce the loss of deep feature information. Experiments conducted on our Sheep1500 UAV Dataset have demonstrated that DASNet significantly outperforms the baseline MAN network, with a Mean Absolute Error (MAE) of 3.95 and a Mean Squared Error (MSE) of 4.87, compared to the baseline's MAE of 5.39 and MSE of 6.50. DASNet is shown to be effective in handling challenging scenarios, such as dense flocks and background noise, due to its dual-branch feature enhancement and global multi-level feature fusion. DASNet has shown promising results in accuracy and computational efficiency, making it an ideal solution for practical sheep counting in precision agriculture.","url":"https://pubmed.ncbi.nlm.nih.gov/40603607/","authors":["Chen Y","Gao R","Li Q","Zhao H","Wang R","Ding L","Li X"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.1038/s41598-025-97929-w","addedAt":"2026-08-31T06:40:05.994Z","updatedAt":"2026-08-31T06:40:09.764Z"},{"id":"pmid:40603367","name":"Explainable few-shot learning workflow for detecting invasive and exotic tree species.","source":"pubmed","abstract":"Deep Learning methods are notorious for relying on extensive labeled datasets to train and assess their performance. This can cause difficulties in practical situations where models should be trained for new applications for which very little data is available. While few-shot learning algorithms can address the first problem, they still lack sufficient explanations for the results. This research presents a workflow that tackles both challenges by proposing an explainable few-shot learning workflow for detecting invasive and exotic tree species in the Atlantic Forest of Brazil using Unmanned Aerial Vehicle (UAV) images. By integrating a Siamese network with explainable AI (XAI), the workflow enables the classification of tree species with minimal labeled data while providing visual, case-based explanations for the predictions. Results demonstrate the effectiveness of the proposed workflow in identifying new tree species, even in data-scarce conditions. With a lightweight backbone, e.g., MobileNet, it achieves an F1-score of 0.86 in 3-shot learning, outperforming a shallow CNN. A set of explanation metrics, i.e., correctness, continuity, and contrastivity, accompanied by visual cases, provide further insights about the prediction results. This approach opens new avenues for using AI and UAVs in forest management and biodiversity conservation, particularly concerning rare or understudied species.","url":"https://pubmed.ncbi.nlm.nih.gov/40603367/","authors":["Gevaert CM","Aguiar Pedro A","Ku O","Cheng H","Chandramouli P","Dadrass Javan F","Nattino F","Georgievska S"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025 Jul 2","doi":"10.1038/s41598-025-05394-2","addedAt":"2026-08-31T06:40:05.994Z","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"pmid:40595704","name":"Optimizing drone-based pollination method by using efficient target detection and path planning for complex durian orchards.","source":"pubmed","abstract":"Durian is a valuable tropical fruit whose pollination heavily relies on bats and nocturnal insects. However, environmental degradation and pesticide usage have reduced insect populations, leading to inefficient natural pollination. This study proposes an AI-powered drone-based pollination method for complex durian orchards, integrating improved object detection and optimized path planning. Specifically, we enhance the YOLO-v8 algorithm using the GhostNet lightweight network to reduce computational complexity while boosting detection precision. For path planning, we develop an Enhanced TSP (EN-TSP) algorithm based on a branch and bound strategy with least-cost optimization. Experimental results demonstrate that the proposed method improves detection accuracy by 5.85% and path efficiency by 26.89% compared to baseline algorithms. The novel use of GhostNet with YOLO-v8 enables superior detection of durian flowers under low-light and occluded conditions, while EN-TSP ensures globally optimal drone routes, reducing travel distance and improving operational reliability. This integrated solution advances smart agriculture by enabling scalable, efficient, and precise pollination, reducing labor costs and increasing durian yield and quality.","url":"https://pubmed.ncbi.nlm.nih.gov/40595704/","authors":["Tang R","Tang J","Talip MSA","Aridas NK","Guan B"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025 Jul 1","doi":"10.1038/s41598-025-04370-0","addedAt":"2026-08-31T06:40:05.994Z","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"pmid:40595168","name":"Printed multiple input multiple output antennas powered by passive metamaterial and defected ground for diverse sixth generation applications.","source":"pubmed","abstract":"The evolution of 6th generation (6G) wireless technology has become imperative due to the exponential growth of wireless devices and applications. In a macro-cellular scenario, the 6 GHz electromagnetic spectrum is projected to be the framework for 6G commencement. However, the main obstacles that inhibit their potential at the physical layer are the fabrication intricacies entailed in comprehending high port isolation ([Formula: see text]) and other key performance indicator (KPI) of compact printed multiple-input-multiple-output (MIMO) antennas. Subsequently, to overcome these impediments, six novel meander line-based MIMO antennas ([Formula: see text]) have been introduced for diverse 6G use cases, including internet of things, extended reality, artificial intelligence, vehicle-to-everything, unmanned aerial vehicle, and device-to-device integrated sensing and communications. Furthermore, two unique passive metamaterial structures of square ring (&#x3b1;) and shorting pins (&#x3ba;) have been studied for attaining an electromagnetic bandgap (EBG). Their performance were investigated by means of numerical simulations and validated through measurements conducted within the anechoic chamber. Meticulous strategies for accomplishing impedance matching, circularly polarization (CP), and high [Formula: see text] values have been presented. Each of the proposed MIMO antennas employed dual radiators, a defected ground, and an EBG structure to exhibit [Formula: see text] of [Formula: see text]21 dB, quasi-isotropic CP, and other desirable KPI of MIMO antennas. Their assembly possessed a low-profile of 0.03 free-space wavelength ([Formula: see text]) and an area of 1.1[Formula: see text] &#xd7; 1.1[Formula: see text], thus being preferable for cost-effective compact terminals. During the measurements, each prototype yielded one or more remarkable MIMO antenna KPI in the 6 GHz band. Particularly, [Formula: see text] enabled filtered bandwidth (BW) of 8.84% and modest gain (G) of 6.4 dBic, [Formula: see text] attained high G of 7.1 dBic and enhanced efficiency (&#x3b7;) of 87%, [Formula: see text] yielded high &#x3b7; of 94%, [Formula: see text] established notable radiation pattern with fair G of 5.8 dBic, [Formula: see text] provided filtered BW of 9.69% and prominent &#x3b7; of 93%, and [Formula: see text] featured wide axial ratio (AR-BW) of 60.63%. Furthermore, all antenna measurements demonstrated good MIMO performance with envelope correlation coefficient and diversity gain of &lt;0.2 and &#x2248;10 dB, respectively. The novelty of this work lies in the radiator and ground designs, as well as the accomplishment of numerous KPI that surpass state-of-the art MIMO antennas.","url":"https://pubmed.ncbi.nlm.nih.gov/40595168/","authors":["Kamal S","Sen P"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025 Jul 2","doi":"10.1038/s41598-025-07208-x","addedAt":"2026-08-31T06:40:05.994Z","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"pmid:40595033","name":"LRDS-YOLO enhances small object detection in UAV aerial images with a lightweight and efficient design.","source":"pubmed","abstract":"Small object detection in UAV aerial images is challenging due to low contrast, complex backgrounds, and limited computational resources. Traditional methods struggle with high miss detection rates and poor localization accuracy caused by information loss, weak cross-layer feature interaction, and rigid detection heads. To address these issues, we propose LRDS-YOLO, a lightweight and efficient model tailored for UAV applications. The model incorporates a Light Adaptive-weight Downsampling (LAD) module to retain fine-grained small object features and reduce information loss. A Re-Calibration Feature Pyramid Network (Re-Calibration FPN) enhances multi-scale feature fusion using bidirectional interactions and resolution-aware hybrid attention. The SegNext Attention mechanism improves target focus while suppressing background noise, and the dynamic detection head (DyHead) optimizes multi-dimensional feature weighting for robust detection. Experiments show that LRDS-YOLO achieves 43.6% mAP50 on VisDrone2019, 11.4% higher than the baseline, with only 4.17M parameters and 24.1 GFLOPs, striking a balance between accuracy and efficiency. On the HIT-UAV infrared dataset, it reaches 84.5% mAP50, demonstrating strong generalization. With its lightweight design and high precision, LRDS-YOLO offers an effective real-time solution for UAV-based small object detection.","url":"https://pubmed.ncbi.nlm.nih.gov/40595033/","authors":["Han Y","Wang C","Luo H","Wang H","Chen Z","Xia Y","Yun L"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025 Jul 2","doi":"10.1038/s41598-025-07021-6","addedAt":"2026-08-31T06:40:05.994Z","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"pmid:40580084","name":"Phenotyping the hidden half: combining UAV phenotyping and machine learning to predict barley root traits in the field.","source":"pubmed","abstract":"Improving crop root systems for enhanced adaptation and productivity remains challenging due to limitations in scalable non-destructive phenotyping approaches, inconsistent translation of root phenotypes from controlled environments to the field, and a lack of understanding of genetic controls. This study serves as a proof of concept, evaluating a panel of Australian barley breeding lines and cultivars in field experiments conducted across two contrasting environments. A diverse subset of 20 genotypes was subjected to ground-based root and shoot phenotyping at key growth stages, and this dataset was used in combination with unmanned aerial vehicle (UAV)-captured vegetation indices (VIs) to train machine learning models to predict root distribution and above-ground biomass for the untested panel comprising 544 genotypes across the two seasons. Unlike previous root studies that have focused on above-ground traits or indirect proxies, this approach predicts root traits in the field using machine learning. Haplotype-based mapping using predicted root and shoot traits in the broader panel revealed key genomic regions. These include novel regions, previously reported root quantitative trait loci, and EGT2-a recently cloned gene that regulates root gravitropism in barley. This scalable phenotyping approach offers opportunities to advance root research across crops and support the development of future varieties adapted to changing climates.","url":"https://pubmed.ncbi.nlm.nih.gov/40580084/","authors":["Alahmad S","Smith D","Katsikis C","Aldiss Z","Brunner SM","Meer SV","Meijer L","Heidariask B","Chenu K","Chapman S","Potgieter AB","Wasson A","Baraibar S","Godoy J","Moody D","Robinson H","Hickey LT"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025 Nov 4","doi":"10.1093/jxb/eraf268","addedAt":"2026-08-31T06:40:05.994Z","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"pmid:40573697","name":"Embedded Sensor Data Fusion and TinyML for Real-Time Remaining Useful Life Estimation of UAV Li Polymer Batteries.","source":"pubmed","abstract":"The accurate real-time estimation of the remaining useful life (RUL) of lithium-polymer (LiPo) batteries is a critical enabler for ensuring the safety, reliability, and operational efficiency of unmanned aerial vehicles (UAVs). Nevertheless, achieving such prognostics on resource-constrained embedded platforms remains a considerable technical challenge. This study proposes an end-to-end TinyML-based framework that integrates embedded sensor data fusion with an optimized feedforward neural network (FFNN) model for efficient RUL estimation under strict hardware limitations. The system collects voltage, discharge time, and capacity measurements through a lightweight data fusion pipeline and leverages the Edge Impulse platform with the EON&#x2122;Compiler for model optimization. The trained model is deployed on a dual-core ARM Cortex-M0+ Raspberry Pi RP2040 microcontroller, communicating wirelessly with a LabVIEW-based visualization system for real-time monitoring. Experimental validation on an 80-gram UAV equipped with a 1100 mAh LiPo battery demonstrates a mean absolute error ( MAE ) of 3.46 cycles and a root mean squared error ( RMSE ) of 3.75 cycles. Model testing results show an overall accuracy of 98.82%, with a mean squared error ( MSE ) of 55.68, a mean absolute error ( MAE ) of 5.38, and a variance score of 0.99, indicating strong regression precision and robustness. Furthermore, the quantized (int8) version of the model achieves an inference latency of 2 ms, with memory utilization of only 1.2 KB RAM and 11 KB flash, confirming its suitability for real-time deployment on resource-constrained embedded devices. Overall, the proposed framework effectively demonstrates the feasibility of combining embedded sensor data fusion and TinyML to enable accurate, low-latency, and resource-efficient real-time RUL estimation for UAV battery health management.","url":"https://pubmed.ncbi.nlm.nih.gov/40573697/","authors":["Chaoraingern J","Numsomran A"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025 Jun 18","doi":"10.3390/s25123810","addedAt":"2026-08-31T06:40:05.994Z","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"pmid:40573617","name":"Transformer-Based Air-to-Ground mmWave Channel Characteristics Prediction for 6G UAV Communications.","source":"pubmed","abstract":"With the increasing development of 6th-generation (6G) air-to-ground (A2G) communications, the combination of millimeter-wave (mmWave) and multiple-input multiple-output (MIMO) technologies can offer unprecedented bandwidth and capacity for unmanned aerial vehicle (UAV) communications. The introduction of new technologies will also make the UAV channel characteristics more complex and variable, posing higher requirements for UAV channel modeling. This paper presents a novel predictive channel modeling method based on Transformer architecture by integrating data-driven approaches with UAV air-to-ground channel modeling. By introducing the mmWave and MIMO into UAV communications, the channel data of UAVs at various flight altitudes is first collected. Based on the Transformer network, the typical UAV channel characteristics, such as received power, delay spread, and angular spread, are then predicted and analyzed. The results indicate that the proposed predictive method exhibits excellent performance in prediction accuracy and stability, effectively addressing the complexity and variability of channel characteristics caused by mmWave bands and MIMO technology. This method not only provides strong support for the design and optimization of future 6G UAV communication systems but also lays a solid communication foundation for the widespread application of UAVs in intelligent transportation, logistics, and other fields in the future.","url":"https://pubmed.ncbi.nlm.nih.gov/40573617/","authors":["Huang B","Xin Z","Yang F","Zhang Y","Liu Y","Huang J","Bian J"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025 Jun 14","doi":"10.3390/s25123731","addedAt":"2026-08-31T06:40:05.994Z","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"pmid:40573535","name":"Energy-Efficient Deployment Simulator of UAV-Mounted Base Stations Under Dynamic Weather Conditions.","source":"pubmed","abstract":"In unmanned aerial vehicle (UAV)-mounted base station (MBS) networks, user equipment (UE) experiences dynamic channel variations because of the mobility of the UAV and the changing weather conditions. In order to overcome the degradation in the quality of service (QoS) of the UE due to channel variations, it is important to appropriately determine the three-dimensional (3D) position and transmission power of the base station (BS) mounted on the UAV. Moreover, it is also important to account for both geographical and meteorological factors when deploying UAV-MBSs because they service ground UE in various regions and atmospheric environments. In this paper, we propose an energy-efficient UAV-MBS deployment scheme in multi-UAV-MBS networks using a hybrid improved simulated annealing-particle swarm optimization (ISA-PSO) algorithm to find the 3D position and transmission power of each UAV-MBS. Moreover, we developed a simulator for deploying UAV-MBSs, which took the dynamic weather conditions into consideration. The proposed scheme for deploying UAV-MBSs demonstrated superior performance, where it achieved faster convergence and higher stability compared with conventional approaches, making it well suited for practical deployment. The developed simulator integrates terrain data based on geolocation and real-time weather information to produce more practical results.","url":"https://pubmed.ncbi.nlm.nih.gov/40573535/","authors":["Min G","So J"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025 Jun 11","doi":"10.3390/s25123648","addedAt":"2026-08-31T06:40:05.994Z","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"pmid:40573473","name":"Closing the Domain Gap: Can Pseudo-Labels from Synthetic UAV Data Enable Real-World Flood Segmentation?","source":"pubmed","abstract":"We present a novel methodology for generating and filtering synthetic Unmanned Aerial Vehicle (UAV) flood imagery to enhance the generalization capabilities of segmentation models. Our framework combines text-to-image synthesis and image inpainting, using curated prompts and real-world segmentation masks to produce diverse and realistic flood scenes. To overcome the lack of human annotations, we employ an unsupervised pseudo-labeling method that generates segmentation masks based on floodwater appearance characteristics. We further introduce a filtering stage based on outlier detection in feature space to improve the realism of the synthetic dataset. Experimental results on five state-of-the-art flood segmentation models show that synthetic data can closely match real data in training performance, and combining both sources improves model robustness by 1-7%. Finally, we investigate the impact of prompt design on the visual fidelity of generated images and provide qualitative and quantitative evidence of distributional similarity between real and synthetic data.","url":"https://pubmed.ncbi.nlm.nih.gov/40573473/","authors":["Simantiris G","Bacharidis K","Panagiotakis C"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025 Jun 6","doi":"10.3390/s25123586","addedAt":"2026-08-31T06:40:05.994Z","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"pmid:40572400","name":"Machine Learning-Driven Structural Optimization of a Bistable RF MEMS Switch for Enhanced RF Performance.","source":"pubmed","abstract":"In the rapidly advancing digital era, the demand for miniaturized and high-performance electronic devices is increasing, particularly in applications such as wireless communication, unmanned aerial vehicles, and healthcare devices. Radio-frequency microelectromechanical systems (RF MEMS), particularly RF MEMS switches, play a crucial role in enhancing RF performance by providing low-loss, high-isolation switching and precise signal path control in reconfigurable RF front-end systems. Among different configurations, electrothermally actuated bistable lateral RF MEMS switches are preferred for their energy efficiency, requiring power only during transitions. This paper presents a novel approach to improve the RF performance of such a switch through structural modifications and machine learning (ML)-driven optimization. To enable efficient high-frequency operation, the H-clamp structure was re-engineered into various lateral configurations, among which the I-clamp exhibited superior RF characteristics. The proposed I-clamp switch was optimized using an eXtreme Gradient Boost (XGBoost) ML model to predict optimal design parameters while significantly reducing the computational overhead of conventional EM simulations. Activation functions were employed within the ML model to improve the accuracy of predicting optimal design parameters by capturing complex nonlinear relationships. The proposed methodology reduced design time by 87.7%, with the optimized I-clamp switch achieving -0.8 dB insertion loss and -70 dB isolation at 10 GHz.","url":"https://pubmed.ncbi.nlm.nih.gov/40572400/","authors":["Percy JJ","Kanthamani S","Roomi SMM"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025 Jun 4","doi":"10.3390/mi16060680","addedAt":"2026-08-31T06:40:05.994Z","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"pmid:40569985","name":"Method for assessing rodent infestation in plateau based on SegFormer.","source":"pubmed","abstract":"Rodent infestation is a critical factor contributing to grassland degradation, which significantly negatively affects grassland ecosystems. To assess rodent infestation on the plateau, there is an urgent need for a scientifically sound and effective method to detect the distribution of rodent burrows. In response, this study proposes a semantic segmentation approach utilizing the SegFormer model to detect rodent infestation in highland areas. First, we used an unmanned aerial vehicle to collect video data from the plateau and constructed a rodent burrows dataset after processing and precise labeling. Second, to address the issue of SegFormer's suboptimal performance in segmenting small targets within complex backgrounds and among similar objects, we implemented targeted modifications to enhance its effectiveness for this task. Incorporating the efficient multi-scale attention (EMA) mechanism into SegFormer's encoder improves the model's capacity to capture global contextual information. Meanwhile, integrating the multi-kernel convolution feed-forward network (MCFN) into the decoder optimizes the problem of detail recovery and fusion of multi-scale features. We name this method EM-SegFormer (Efficient Multi-scale SegFormer). The experimental results demonstrate that the method achieves relatively good performance on the rodent burrows dataset. This study introduces a novel approach for plateau rodent infestation detection and offers reliable technical support for grassland restoration and management.","url":"https://pubmed.ncbi.nlm.nih.gov/40569985/","authors":["Huang X","Zhang G","Li C","Han Y","Dong Q","Wang H"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.1371/journal.pone.0325738","addedAt":"2026-08-31T06:40:05.994Z","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"pmid:40566237","name":"Analysis of Outage Probability and Average Bit Error Rate of Parallel-UAV-Based Free-Space Optical Communications.","source":"pubmed","abstract":"Recently, free-space optical (FSO) communication systems utilizing unmanned aerial vehicle (UAV) relays have garnered significant attention. Integrating UAV relays into FSO communication and employing cooperative diversity techniques not only fulfill the need for long-distance transmission but also enable flexible adjustments of relay positions based on the actual environment. This paper investigates the performance of a parallel-UAV-relay-based FSO communication system. In the considered system, the channel fadings include atmospheric loss, atmospheric turbulence, pointing errors, and angle-of-arrival fluctuation. Using the established channel model, we derive a tractable expression for the probability density function of the total channel gain. Then, we derive closed-form expressions of the system outage probability (OP) and average bit error rate (ABER). Moreover, we also derive the asymptotic OP and ABER for a high-optical-intensity regime. Our numerical results validate the accuracy of the derived theoretical expressions. Additionally, the effects of the number of relay nodes, the field of view, the direction deviation, the signal-to-noise ratio threshold, the atmospheric turbulence intensity, the transmit power, and the transmission distance on the system's performance are also discussed.","url":"https://pubmed.ncbi.nlm.nih.gov/40566237/","authors":["Lin SH","Wang JY","Hua X"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025 Jun 18","doi":"10.3390/e27060650","addedAt":"2026-08-31T06:40:05.994Z","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"pmid:40566165","name":"Entropy-Based Age-Aware Scheduling Strategy for UAV-Assisted IoT Data Transmission.","source":"pubmed","abstract":"This paper investigates data transmission in an Internet of Things (IoT) network, where multiple devices send environmental data to a remote base station through an unmanned aerial vehicle (UAV) relay. The UAV serves as an airborne intermediary that collects status information from distributed IoT devices (e.g., temperature readings in a real-time forest fire monitoring system) and forwards it to the base station. To capture the impact of data staleness, a novel Age of Information (AoI) and entropy-aware system loss is defined in terms of L-conditional cross-entropy, which quantifies the expected penalty caused by state misestimation. The scheduling problem, which aims to minimize the system loss defined by L-conditional cross-entropy, is formulated as a Restless Multi-Armed Bandit (RMAB) problem. By applying Lagrange relaxation, the objective function is decomposed into tractable sub-problems, enabling a low-complexity, gain-index-based scheduling strategy. Numerical simulations validate the effectiveness of the proposed algorithm in reducing the long-term average system loss. In particular, the gain-index-based policy achieves a significant reduction in average penalty compared to random, round-robin, periodic update, and MAX-AoI scheduling strategies, demonstrating its superior performance over these baselines.","url":"https://pubmed.ncbi.nlm.nih.gov/40566165/","authors":["Jing L","Wang H","Qin Z","Zhu P"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025 May 29","doi":"10.3390/e27060578","addedAt":"2026-08-31T06:40:05.994Z","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"pmid:40561773","name":"Enhanced hermit crabs detection using super-resolution reconstruction and improved YOLOv8 on UAV-captured imagery.","source":"pubmed","abstract":"Hermit crabs are vital to coastal ecosystems, serving as environmental health indicators and contributing to seed dispersal, debris cleanup, and soil disturbance. Traditional hermit crabs survey methods, like quadrat sampling, are labor-intensive and environmentally dependent. This study presents an innovative approach combining UAV (Unmanned Aerial Vehicles)-based remote sensing with Super-Resolution Reconstruction (SRR) and the CRAB-YOLO detection network, a modification of YOLOv8s, to monitor hermit crabs effectively. SRR enhances image quality by addressing motion blur and insufficient resolution, significantly improving detection accuracy over conventional low-resolution fuzzy images. CRAB-YOLO integrates three improvements for accuracy, hermit crab characteristics, and computational efficiency, achieving state-of-the-art (SOTA) performance. The Residual Dense Network (RDN) demonstrated the best image reconstruction performance, and CRAB-YOLO achieved a mean average precision (mAP) of 69.5&#xa0;% on the SRR test set, a 40&#xa0;% improvement over the conventional Bicubic method with a magnification factor of 4. These results prove the effectiveness of the proposed method for cost-effective, automated hermit crab monitoring supporting coastal benthos conservation efforts.","url":"https://pubmed.ncbi.nlm.nih.gov/40561773/","authors":["Zhao F","Chen Y","Xi D","Liu Y","Wang J","Tabeta S","Mizuno K"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025 Sep","doi":"10.1016/j.marenvres.2025.107313","addedAt":"2026-08-31T06:40:05.994Z","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"pmid:40560914","name":"Design and comparative analysis of laser-based array systems for UAV detection in surveillance zones.","source":"pubmed","abstract":"Identifying unmanned aerial vehicles (UAVs) is critical to protecting vital locations and infrastructures from potential attacks. The literature suggests a variety of detection methods, including conventional radar systems, acoustic detection, radio frequency signal detection, LiDAR, and camera-based techniques. LiDAR systems, in particular, offer high-resolution 3D mapping and precise distance measurements, which prove to be highly effective for detecting and tracking UAVs under various environmental conditions. This study presents two innovative LiDAR systems for UAV detection: a multi-array static LiDAR system and a one-array rotating LiDAR system. The multi-array static LiDAR employs arrays of laser light sources and concentrators arranged along a spherical shape. A central photodiode receives the transmittance of the reflected optical energy captured by the concentrators, enabling the precise identification of UAVs. The system's design focuses on achieving continuous, high-resolution coverage with minimal delay, making it suitable for monitoring wide areas. In contrast, the one-array rotating LiDAR utilizes a single array with rotational motion to scan the surveillance area. This approach prioritizes compactness and energy efficiency, which makes it advantageous for cost-sensitive applications. However, the rotational mechanism introduces trade-offs, such as increased mechanical wear and scanning latency. By conducting a comprehensive analysis of the design characteristics, this study evaluates the practicability and efficiency of these LiDAR solutions. Parameters such as the dimensions of the monitored region, sensor characteristics, component arrangement, and interspacing are considered to assess the effectiveness of both systems in identifying potential UAV threats.","url":"https://pubmed.ncbi.nlm.nih.gov/40560914/","authors":["Salhi M","Sliti M","Boudriga N","Elfikky A","Ayouni S"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.1371/journal.pone.0325752","addedAt":"2026-08-31T06:40:05.994Z","updatedAt":"2026-08-31T06:40:09.764Z"},{"id":"pmid:40558346","name":"An Enhanced Artificial Lemming Algorithm and Its Application in UAV Path Planning.","source":"pubmed","abstract":"This paper presents an enhanced artificial lemming algorithm (EALA) for solving complex unmanned aircraft system (UAV) path planning problems in three-dimensional environments. Key improvements include chaotic initialization, adaptive perturbation, and hybrid mutation, enabling a better exploration-exploitation balance and local refinement. Validation on the IEEE CEC2017 and CEC2022 benchmark functions demonstrates the EALA's superior performance, achieving faster convergence and better algorithm performance compared to the standard ALA and 10 other algorithms. When applied to UAV path planning in large- and medium-scale environments with realistic obstacle constraints, the EALA generates Pareto-optimal paths that minimize length, curvature, and computation time while guaranteeing collision avoidance. Benchmark tests and realistic simulations show that the EALA outperforms 10 algorithms. This method is particularly suited for mission-critical applications with strict safety and time constraints.","url":"https://pubmed.ncbi.nlm.nih.gov/40558346/","authors":["Zhu X","Jia C","Zhao J","Xia C","Peng W","Huang J","Li L"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.3390/biomimetics10060377","addedAt":"2026-08-31T06:40:05.994Z","updatedAt":"2026-08-31T06:40:09.764Z"},{"id":"pmid:40558322","name":"The Conceptual Design of a Variable Camber Wing.","source":"pubmed","abstract":"The variable camber wing (VCW) is a morphing wing design anticipated to enhance unmanned aerial vehicles' (UAVs') performance in flight through continuously changing shape. The performance of VCWs has been proven, but techniques for their integration, including aerodynamic analysis, mechanism synthesis, and structural tests, still lag in development at the conceptual design stage. Therefore, this research focuses on designing a variable camber wing, a key area for the advancement of morphing aircraft. Inspired by the high-lift capabilities of traditional aircraft devices but aiming for smoother airflow through continuous shape alteration, this research proposes a novel three-step design for a structurally integrated VCW. This approach begins with a critical aerodynamic analysis to determine wing shape adaptations across various flight conditions, followed by a mechanism synthesis phase to design a four-bar linkage that accurately approximates the desired trailing edge deflections by utilizing a variant of teaching-learning-based optimization. The objective is to minimize error between the intended and actual coupler link while adhering to design constraints for proper integration in the wing structure. Finally, structural analysis evaluates the skin's ability to withstand operational loads and ensure the integrity of the VCW system. The design result demonstrates the success of this three-step approach to synthesizing a VCW mechanism that meets the defined aerodynamic (actual deflection of 9.1764&#xb0;) and structural targets (maximum Von Mises stress of 81.5 MPa and maximum deflection of 0.073 m), paving the way for enhanced aircraft performance.","url":"https://pubmed.ncbi.nlm.nih.gov/40558322/","authors":["Cortez STP","Winyangkul S","Sleesongsom S"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025 Jun 1","doi":"10.3390/biomimetics10060353","addedAt":"2026-08-31T06:40:05.994Z","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"pmid:40551631","name":"Accurate estimation of aboveground biomass in Moso bamboo (Phyllostachys edulis) forests under Pantana phyllostachysae Chao stress using UAV multispectral remote sensing and self-establish allometric equations.","source":"pubmed","abstract":"Moso bamboo (Phyllostachys edulis) plays a pivotal role in the global carbon cycle because of its rapid growth and significant ecological benefits. Accurate estimation of its aboveground biomass (AGB) is therefore essential for effective carbon management. However, the influence of its primary leaf-feeding pest, Pantana phyllostachysae Chao (P. phyllostachysae), on AGB remains poorly understood, potentially compromising estimation accuracy. This study aims to develop allometric equations and integrate them with machine learning algorithms to accurately estimate the AGB of Moso bamboo forests under varying levels of pest stress.","url":"https://pubmed.ncbi.nlm.nih.gov/40551631/","authors":["He A","Xu Z","Li G","Chen L","Zhang H","Li B","Li Y","Guo X","Li Z","Guan F"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025 Oct","doi":"10.1002/ps.70018","addedAt":"2026-08-31T06:40:05.994Z","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"pmid:40546031","name":"Soybean (Glycine max L.) canopy response to simulated dicamba vapor drift using unmanned aerial sensing.","source":"pubmed","abstract":"Concerns about off-target dicamba exposure to sensitive vegetation have escalated following the commercialization of dicamba-tolerant (DT) soybean [Glycine max (L.) Merr.] and cotton (Gossypium hirsutum L.) The spectral response of plant injury at the field scale is a crucial knowledge gap that may help researchers understand dicamba's fate in the environment. Non-DT soybean is the ideal sentinel crop owing to its extreme sensitivity. Field experiments were conducted to characterize the reflectance spectra associated with dicamba vapor drift injured soybean canopies. The objective was, under field conditions and using land-based remote sensing, to determine what regions of the EM correlate to dicamba-injured soybean canopies.","url":"https://pubmed.ncbi.nlm.nih.gov/40546031/","authors":["Kerr DR","Hager AG","Allen D","Leakey ADB","Bowman D","Williams MM 2nd"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025 Oct","doi":"10.1002/ps.8954","addedAt":"2026-08-31T06:40:05.994Z","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"pmid:40540905","name":"Tracking the spatial and temporal evolution of salt marsh vegetation based on UAV sampling and seasonal phenology from Landsat data.","source":"pubmed","abstract":"Salt marshes, valued for their ecological importance, have been increasingly degraded in recent decades. Preserving salt marshes necessitates a critical approach that involves monitoring vegetation distribution and species composition. This study presents a high-precision salt marsh mapping framework for the Yellow River Delta (YRD), integrating Unmanned Aerial Vehicle (UAV), machine learning and seasonal phenological features from Landsat data. UAV data facilitate sampling efficiency, while seasonal phenology improves species differentiation in classification models. Among the tested algorithms, the Random Forest algorithm achieved the highest overall accuracy (89&#xa0;%), outperforming support vector machines, gradient-boosted decision trees and deep neural network, particularly in identifying mixed-vegetation zones. Autumn phenological features emerged as critical discriminators for vegetation type classification. From 1991 to 2022, the salt marsh area exhibited an initial decline, followed by stabilization, and subsequent expansion, reaching 259.15&#xa0;km 2 in 2022. Notably, the invasive species Spartina alterniflora expanded significantly after 2009, reaching 61.4&#xa0;km 2 before its eradication in 2021. This research demonstrates that integrating UAV and seasonal phenological data provides a scalable, high-precision approach for long-term salt marsh monitoring. The framework provides robust tools and actionable insights for conservation, invasive species management, and ecosystem restoration.","url":"https://pubmed.ncbi.nlm.nih.gov/40540905/","authors":["Chen K","Xu J","Chang L","Luo Q","Song J","Zhou Y","Yi Y"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025 Aug","doi":"10.1016/j.jenvman.2025.126204","addedAt":"2026-08-31T06:40:05.994Z","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"pmid:40538831","name":"Instant Energy Barrier Modulation in Bistable Robotic Grippers for Compliant Triggering and Powerful Grasping.","source":"pubmed","abstract":"Bistable structures, which leverage mechanical instability, have emerged as a promising paradigm in the development of robotic grippers, providing advantages including rapid response and low energy consumption. A critical limitation of existing bistable grippers, however, lies in their invariable energy barriers, which hinder the balance between compliant triggering and powerful grasping. In this study, we propose a bistable robotic gripper capable of in&#xa0;situ energy barrier modulation, inspired by the adaptive seed dispersal behavior of Impatiens pods. This robotic gripper features an elastic curved beam-based architecture integrated with a motor-driven mechanism, enabling dynamic regulation of its energy landscape. This approach allows the energy barrier to be tuned over an order of magnitude during manipulation. In the low-barrier state, the robotic gripper initiates object interaction with a triggering force as low as 0.66 N, allowing for delicate manipulation. Upon state transition, instant energy barrier modulation (~300 ms) enhances grasping stability, achieving failure forces up to 12.08 N. This adaptive modulation strategy enables our robotic gripper to implement rapid, compliant, and powerful interaction. When incorporated into an unmanned aerial vehicle, the robotic gripper showcases reliable perching across diverse scenarios, highlighting the potential of energy barrier modulation to advance the adaptability and functionality of robotic systems.","url":"https://pubmed.ncbi.nlm.nih.gov/40538831/","authors":["Zhang J","Yang H","He C","Ma H","Zhao Y","Zhang Z","Li S","Wang W","Yang J","Wu J","Peng H"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.34133/research.0737","addedAt":"2026-08-31T06:40:05.994Z","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"pmid:40534208","name":"Airborne concentration and canopy distribution of microencapsulated pheromone formulation applied with drone and terrestrial sprayers in vineyards.","source":"pubmed","abstract":"Mating disruption is a highly effective pest control technique without the negative impacts of most chemical plant protection products. Traditionally, this control method has been implemented using passive dispensers that release the synthetic sex pheromone of the target pest. However, new sprayable formulations are now available. Due to the recent introduction of these formulations, their application for mating disruption has yet to be fully optimized. This study evaluated the field performance of two spray technologies-unmanned aerial vehicle (UAV) and conventional terrestrial sprayer (TS)-for applying a microencapsulated formulation against the European grapevine moth, Lobesia botrana.","url":"https://pubmed.ncbi.nlm.nih.gov/40534208/","authors":["Gavara A","Fonte A","Vacas S","Garcerá C","Navarro-Llopis V","Chueca P"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025 Oct","doi":"10.1002/ps.8974","addedAt":"2026-08-31T06:40:05.994Z","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"pmid:40519599","name":"Application of UAV remote sensing for vegetation identification: a review and meta-analysis.","source":"pubmed","abstract":"Green vegetation is an essential part of natural resources and is vital to the ecosystem. Simultaneously, with improving people's living standards, food security and the supply of forage resources have become increasingly the focus of attention. Therefore, timely and accurate monitoring and accurate and timely vegetation classification are significant for the rational utilization of agricultural resources. In recent years, the unmanned aerial vehicle (UAV) platform has attracted considerable attention and achieved great success in the application of remote sensing identification of vegetation due to the combination of the advantages of satellite and airborne systems. However, the results of many studies haven't yet been synthesized to provide practical guidance for improving recognition performance. This study aimed to introduce the primary classifiers used for UAV remote-sensing vegetation identification and conducted a meta-analysis of relevant research on UAV remote-sensing vegetation identification. This meta-analysis reviewed 79 papers, analyzed the general characteristics of spatial and temporal distribution and journal sources, and compared the relationship between research objectives, sensor types, spatial resolution, research methods, number of target categories, and the overall accuracy of the results. Finally, a detailed review was conducted on how unmanned aerial vehicle remote sensing is applied in vegetation identification, along with the current unresolved issues and prospects.","url":"https://pubmed.ncbi.nlm.nih.gov/40519599/","authors":["Chang B","Li F","Hu Y","Yin H","Feng Z","Zhao L"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.3389/fpls.2025.1452053","addedAt":"2026-08-31T06:40:05.994Z","updatedAt":"2026-08-31T06:40:09.764Z"},{"id":"pmid:40510130","name":"TLSNet: A semantic segmentation method for key point cloud regions of transmission lines.","source":"pubmed","abstract":"To address the limitations of current transmission line point cloud segmentation algorithms in accurately segmenting fine-grained structures, this paper proposes a model named TLSNet. The network addresses the issue of uneven point cloud distribution through a dynamic density adaptation mechanism (DALNF-Layer), achieves cross-scale context modeling with a hierarchical-offset transformer (DLCTransformer), and optimizes gradient propagation using the inverted residual module (InvResMLP). Together, these components form an efficient point cloud segmentation framework tailored for the complex scenarios of transmission lines. Experimental results demonstrate that TLSNet achieves precise segmentation of key regions in transmission line point clouds, outperforming existing algorithms in segmentation accuracy. This advancement provides a solid technical foundation for the digital operation and maintenance of transmission lines, as well as for autonomous unmanned aerial vehicle (UAV) inspection path planning.","url":"https://pubmed.ncbi.nlm.nih.gov/40510130/","authors":["Pei S","Sun H","Hu C","Wang W","Wu M","Lan B"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025 Jun 20","doi":"10.1016/j.isci.2025.112334","addedAt":"2026-08-31T06:40:05.994Z","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"pmid:40508708","name":"Experimental Study of Comprehensive Performance Analysis Regarding the Dynamical/Mechanical Aspects of 3D-Printed UAV Propellers and Sound Footprint.","source":"pubmed","abstract":"The present study evaluates the viability of fabricating unmanned aerial vehicle (UAV) propellers using fused filament fabrication (FFF), with an emphasis on low-cost, desktop-scale production. The study's backdrop is the recent adoption of UAVs and advancements in additive manufacturing. While the scope targets accessibility for individual and small-scale users, the results have broader implications for scalable UAV propulsion systems. The research was conducted within an experimental UAV development framework aimed at optimizing propeller performance through strategic material selection, geometrical design optimization, and additive manufacturing processes. Six propeller variants were manufactured using widely available thermoplastic polymers, including polyethylene terephthalate glycol-modified (PETG) and thermoplastic polyurethane (TPU), as well as photopolymer-based propellers fabricated using vat photopolymerization, also known as digital light processing (DLP). Mechanical and aerodynamic characterizations were performed to assess the structural integrity, flexibility, and performance of each material under dynamic conditions. Two blade configurations, a toroidal propeller with anticipated aerodynamic advantages and a conventional tri-blade propeller (Gemfan 51466-3)-were comparatively analyzed. The primary contribution of this work is the systematic evaluation of performance metrics such as thrust generation, acoustic signature, mechanical strength, and thermal stress imposed on the electrical motor, thereby establishing a benchmark for polymer-based propeller fabrication via additive manufacturing. The findings underscore the potential of polymeric materials and layer-based manufacturing techniques in advancing the design and production of UAV propulsion components.","url":"https://pubmed.ncbi.nlm.nih.gov/40508708/","authors":["Popișter F"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025 May 25","doi":"10.3390/polym17111466","addedAt":"2026-08-31T06:40:05.994Z","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"pmid:40489468","name":"Reducing energy and environmental footprint in agriculture: A study on drone spraying vs. conventional methods.","source":"pubmed","abstract":"Agricultural practices significantly contribute to resource depletion and greenhouse gas emissions, underscoring the urgent need for environmental sustainability in this sector. This research assesses the energy efficiency and environmental impacts of Unmanned Aerial Vehicle (UAV) technology compared to traditional spraying methods for wheat farms in Lorestan province, Iran. Experiments were conducted randomly with three repetitions, and data were analyzed using Simapro Impact 2002&#x2009;+&#x2009;software, evaluating four primary categories and 15 midpoint indicators. The findings reveal that conventional spraying consumes 2.43 times more energy than drone spraying, with values of 365.26 MJ/ha and 146.84 MJ/ha, respectively. Additionally, the Global Warming Potential (GWP) for pesticide application is 41.284&#x2009;kg CO2ha-1 for conventional methods and 14.485&#x2009;kg CO2ha-1 for drones. Diesel emissions from tractors in traditional spraying represent the most significant environmental burden, while battery production and charging for drones contribute the largest share among various impacts. These results highlight the potential of UAV technology to enhance energy efficiency and reduce environmental harm, promoting sustainable agricultural practices. Nonetheless, battery limitations and the need for training remain challenges, and further studies are required to assess long-term impacts and scalability.","url":"https://pubmed.ncbi.nlm.nih.gov/40489468/","authors":["Safaeinejad M","Ghasemi-Nejad-Raeini M","Taki M"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.1371/journal.pone.0323779","addedAt":"2026-08-31T06:40:05.994Z","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"pmid:40472163","name":"UAV-based aerial imaging and path optimization to combat mosquito-borne diseases.","source":"pubmed","abstract":"The Aedes aegypti mosquito is the cause of the transmission of diseases such as Dengue, Chikungunya, Yellow fever, and Zika. Dengue is a viral illness and currently, there is no specific treatment for the disease. The best possible way to prevent this disease is to avoid the reproduction of mosquitoes. Reproduction of mosquitoes is avoided by identifying and treating the Possible Breeding Habitats (PBH) such as Stagnant water in Tires, water tanks, and Puddles. The PBH can be identified using Unmanned Aerial Vehicles (UAVs) better known as Drones which cover vast areas and are cost-effective. In this work, an aerial dataset containing the PBH is created which is obtained by UAV. Each image is annotated manually to identify the objects of interest. Automatic detection of objects is experimented with by using YOLOv8 and YOLOv11 algorithms of all variants where YOLOv11 outperformed YOLOv8 with the metrics of mAP50 as 0.97, mAP50-90 as 0.61, Precision as 0.96, and recall as 0.88. The Travelling Salesman Problem is used to optimize the path planning and spray the larvicides at every waypoint using UAVs by reducing energy and battery consumption. Our approach detects and treats mosquito habitats by using Unmanned Aerial Vehicles (UAVs).","url":"https://pubmed.ncbi.nlm.nih.gov/40472163/","authors":["Bapireddygari H","V MA"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025 Jul-Sep","doi":"10.1080/20477724.2025.2507681","addedAt":"2026-08-31T06:40:05.994Z","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"pmid:40448402","name":"Detection of pine wood nematode infections in Chinese pine (Pinus tabuliformis) using hyperspectral drone images.","source":"pubmed","abstract":"The pine wood nematode (PWN) has caused tremendous damage to pine forests in China. Accurately predicting the infestation stage of PWN is crucial for implementing appropriate management, such as chemically controlling early-infested trees and felling and removing trees in the severe stages of infestation. Unmanned aerial vehicle (UAV)-based hyperspectral technology can capture images with high spatial and spectral resolutions, facilitating more extensive coverage and enhanced detection efficiency. To date, few studies have used the correlation coefficient between full spectra and physiological traits to screen dual-band vegetation indices (VIs). Moreover, there is a lack of comprehensive comparison between the screened VIs, feature wavelengths, and full spectra using various machine learning methods to predict the infection stage of PWN.","url":"https://pubmed.ncbi.nlm.nih.gov/40448402/","authors":["Yu R","Liu Y","Gao B","Ren L","Luo Y"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025 Sep","doi":"10.1002/ps.8938","addedAt":"2026-08-31T06:40:05.994Z","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"pmid:40443440","name":"Spectroscopic detection of cotton Verticillium wilt by spectral feature selection and machine learning methods.","source":"pubmed","abstract":"Verticillium wilt is a severe soil-borne disease that affects cotton growth and yield. Traditional monitoring methods, which rely on manual investigation, are inefficient and impractical for large-scale applications. This study introduces a novel approach combining machine learning with feature selection to identify sensitive spectral features for accurate and efficient detection of cotton Verticillium wilt.","url":"https://pubmed.ncbi.nlm.nih.gov/40443440/","authors":["Li W","Liu L","Li J","Yang W","Guo Y","Huang L","Yang Z","Peng J","Jin X","Lan Y"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.3389/fpls.2025.1519001","addedAt":"2026-08-31T06:40:05.994Z","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"pmid:40442170","name":"Multi-criteria decision model for multicircular flight control of unmanned aerial vehicles through a hybrid approach.","source":"pubmed","abstract":"This study presents a novel approach for optimizing UAV (unmanned aerial vehicle) Multicircular flight control by developing a fractional order proportional integral derivative (FOPID)-based hybrid Eagle strategy particle swarm optimization ant lion optimizer (HESPSOALO). The proposed algorithm combines the strengths of particle swarm optimization (PSO) and the ant lion optimizer (ALO), which are enhanced by the Eagle strategy to systematically fine-tune the FOPID controller parameters. This hybrid optimization method aims to improve system stability, responsiveness, and disturbance rejection in UAVs, particularly in challenging dynamic flight conditions. The proposed approach was validated against traditional control methods that utilize FOPID (Base), the Base HESPSOALO algorithm, the FOPID-based HPSOGWO (Hybrid Particle Swarm Optimization-Gray Wolf Optimizer), and the FOPID-based HGWOALO (Hybrid Gray Wolf Optimization-Ant Lion Optimizer) with a set of benchmark functions used in the analysis. The results demonstrate a minimization of position and angular errors, reduced oscillations, and overall improved control stability for the FOPID-based HESPSOALO compared with the other methods. Furthermore, a multicriteria decision-making (MCDM) framework is applied to evaluate the overall performance of alternative control strategies utilizing the CRiteria importance through intercriteria correlation (CRITIC) and technique of order preference by similarity to ideal solution (TOPSIS) techniques. The MCDM analysis demonstrates that among the evaluated criteria, [Formula: see text] has the highest importance, with a weight of 0.244019, whereas [Formula: see text] is deemed the least significant, with a weight of 0.161023. The ranking results reveal that the HESPSOALO algorithm (Base) is the best-performing controller method, with a ranking score of 0.571161, indicating its superior control performance across major metrics. In contrast, the FOPID&#x2009;+&#x2009;HPSOGWO controller method ranks the lowest, with a score of 0.282794. The findings have significant industrial implications, particularly in sectors where UAVs are critical for precision tasks, such as logistics, agriculture, surveillance, and environmental monitoring. By optimizing the FOPID controller parameters, the HESPSOALO algorithm enhances UAV stability, responsiveness, and reliability in dynamic environments, resulting in more precise control and robust performance under varying conditions. This improvement may reduce operational risks and maintenance costs while increasing efficiency, prolonging UAV service life, and achieving energy savings. This study provides a robust solution for UAV control based on the potential of hybrid optimization algorithms to improve UAV precision and reliability in autonomous flight.","url":"https://pubmed.ncbi.nlm.nih.gov/40442170/","authors":["Basil N","Marhoon HM","Sabbar BM","Mohammed AF","Albahri O","Albahri A","Alamoodi A","Sharaf IM","Amsal AM","Ahmed M","Ali E","Ghoneim SSM"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025 May 30","doi":"10.1038/s41598-025-01508-y","addedAt":"2026-08-31T06:40:05.994Z","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"pmid:40441178","name":"Bioinspired drone rotors for reduced aeroacoustic noise and improved efficiency.","source":"pubmed","abstract":"The application of unmanned aerial vehicles (UAVs) is surging across several industries, paralleled by growing demand for these UAVs. However, the noise emitted by UAVs remains a significant impediment to their widespread use even though in areas such as product delivery, they can be more environmentally friendly than traditional delivery methods. Nature has often been a source of inspiration for devices that are efficient and eco-friendly. In the current study, we leverage the previous work by Seo et al (2021 Bioinsp. Biomim. 16 046019) on the aeroacoustics of flapping wing flight in mosquitoes and fruit flies to propose and examine a simple strategy for reducing the aeroacoustic noise from drone rotors. In particular, inspired by these insects, we explore how an increase in the planform area of the rotor could be used to reduce the rotation rate and the associated aeroacoustic noise from small-scale rotors. The study employs a sharp-interface immersed boundary solver for the flow simulations and the aeroacoustic sound is predicted by the Ffowcs Williams-Hawkings equation. Simulations indicate that the simple strategy of employing rotors with larger planform areas could lead not just to reduced aeroacoustic noise but improved power economy as well.","url":"https://pubmed.ncbi.nlm.nih.gov/40441178/","authors":["Prakhar S","Seo JH","Mittal R"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025 Jun 9","doi":"10.1088/1748-3190/adde9b","addedAt":"2026-08-31T06:40:05.994Z","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"pmid:40431923","name":"Intelligent Prediction and Numerical Simulation of Landslide Prediction in Open-Pit Mines Based on Multi-Source Data Fusion and Machine Learning.","source":"pubmed","abstract":"With the increasing mining depth, the stability of open-pit mine slopes has become an increasingly important concern. This study focuses on an open-pit mine in Southwest China and utilizes unmanned aerial vehicle (UAV) technology to gather data from these high and steep slopes. First, high-precision digital surface models and digital orthophoto data are collected using UAV terrain-following flight technology. However, two major challenges arise when applying geographic information systems (GISs) to this issue. The first challenge is that the extreme steepness of the slopes causes overlapping lithological layers at the same location, which GISs cannot resolve. The second challenge is that GISs cannot assess the influence of faults on landslides by calculating three-dimensional spatial distances. To overcome these issues, this study proposes the construction of a detailed 3D geological model for the entire mining area. This model allows for a more precise analysis of the lithology and fault spatial distances. A GIS is then applied to analyze the slope, curvature, and slope direction. Multi-source data fusion is employed to link spatial coordinates and create a dataset for further analysis. Five machine learning models for landslide prediction are compared using this dataset. Based on these comparisons, a high-precision random forest and slope boosting coupled method is developed to enhance the landslide prediction accuracy. Finally, a numerical simulation of a regional focus area is conducted, simulating the excavation process of an open-pit mine and analyzing the timing, location, and state of potential landslides. The results indicate that combining machine learning and multi-source data fusion provides a highly accurate, efficient, and straightforward method for landslide prediction in the high and steep slopes of open-pit mines.","url":"https://pubmed.ncbi.nlm.nih.gov/40431923/","authors":["Qing L","Xu L","Huang J","Fu X","Chen J"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025 May 15","doi":"10.3390/s25103131","addedAt":"2026-08-31T06:40:05.994Z","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"pmid:40431792","name":"Comparative Assessment of Neural Radiance Fields and 3D Gaussian Splatting for Point Cloud Generation from UAV Imagery.","source":"pubmed","abstract":"Point clouds continue to be the main data source in 3D modeling studies with unmanned aerial vehicle (UAV) images. Structure-from-Motion (SfM) and MultiView Stereo (MVS) have high time costs for point cloud generation, especially in large data sets. For this reason, state-of-the-art methods such as Neural Radiance Fields (NeRF) and 3D Gaussian Splatting (3DGS) have emerged as powerful alternatives for point cloud generation. This paper explores the performance of NeRF and 3DGS methods in generating point clouds from UAV images. For this purpose, the Nerfacto, Instant-NGP, and Splatfacto methods developed in the Nerfstudio framework were used. The obtained point clouds were evaluated by taking the point cloud produced with the photogrammetric method as reference. In this study, the effects of image size and iteration number on the performance of the algorithms were investigated in two different study areas. According to the results, Splatfacto demonstrates promising capabilities in addressing challenges related to scene complexity, rendering efficiency, and accuracy in UAV imagery.","url":"https://pubmed.ncbi.nlm.nih.gov/40431792/","authors":["Atik ME"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025 May 9","doi":"10.3390/s25102995","addedAt":"2026-08-31T06:40:05.994Z","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"pmid:40425651","name":"Effects of solar elevation angle on the visible light vegetation index of a cotton field when extracted from the UAV.","source":"pubmed","abstract":"The visible light vegetation indices (VIs) derived from the red, green, and blue spectral bands of UAV (unmanned aerial vehicle) imagery play a vital role in precision agriculture applications. Nevertheless, the effects of solar elevation angle variations across different flight times remain poorly understood. The DJI Phantom 4 RTK high-precision positioning aerial survey UAV was used to conduct a timed flight over cotton plots with both weak growth without nitrogen application and strong growth with nitrogen application. The visible light VIs for 13 UAVs at 12 different flight times were extracted, and a one-dimensional linear regression model established. By comparing the difference significance and slope values of the models, to evaluate the influence degree of solar elevation angle and cotton growth on the visible light VIs of 13 kinds of UAV, so as to provide a reference for the reasonable planning of UAV flight time under the background of precision agriculture. The results show that: (1) No matter in the test plots with relatively weak or prosperous cotton growth, Solar elevation angle was always significantly positively correlated with the excess red vegetation index (ExR) and red-green ratio index (RGRI). There was a significant linear negative correlation with the excess green minus excess red vegetation index (ExGR), excess green vegetation index (ExG), red-green-blue vegetation index (RGBVI), modified green-red vegetation index (MGRVI), green leaf index (GLI), normalized green-red difference index (NGRDI), and visible atmospherically resistant index (VARI), but there was no significant linear regression relationship with the Kawashima index (IKAW). (2) In the test plot without nitrogen application with relatively weak cotton growth, the linear regression model of visible light vegetation index (green-blue ratio index GBRI, excess blue vegetation ExB, normalized green-blue difference index NGBDI) and Solar elevation angle of cotton field is more likely to reach a significant level. (3) The effect of the solar elevation angle on ExG, ExGR, GLI, ExB, RGBVI, NGBDI and GBRI can be reduced in the test plot with nitrogen application with relatively strong cotton growth, and the effect on ExR, NGRDI and MGRVI can be increased. (4) Solar elevation angle had the greatest influence on ExGR, RGBVI, and MGRVI, and IKAW was the least influential. Therefore, it is suggested in this study that when the visible light VIs of ExGR, RGBVI, MGRVI are applied to the growth monitoring and evaluation of cotton fields, the flight time (or solar elevation angle) of UAVs should be as consistent as possible.","url":"https://pubmed.ncbi.nlm.nih.gov/40425651/","authors":["Li J","Wu W","Zhao C","Bai X","Dong L","Tan Y","Yusup M","Akelebai G","Dong H","Zhi J"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025 May 27","doi":"10.1038/s41598-025-00992-6","addedAt":"2026-08-31T06:40:05.994Z","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"pmid:40422140","name":"Path Optimization Strategy for Unmanned Aerial Vehicles Based on Improved Black Winged Kite Optimization Algorithm.","source":"pubmed","abstract":"The Black-winged Kite Optimization Algorithm (BKA) is likely to experience a sluggish convergence rate when confronted with the optimization of complex multimodal functions. The fundamental algorithm has a tendency to get stuck in local optima, thus rendering it arduous to identify the global optimal solution. When dealing with large-scale data or high-dimensional optimization challenges, the BKA algorithm entails significant computational expenses, which might lead to excessive memory usage or prolonged running durations. In order to enhance the BKA and tackle these problems, a revised Black-winged Kite Optimization Algorithm (TGBKA) that incorporates the Tent chaos mapping and Gaussian mutation strategies is put forward. The algorithm is simulated and analyzed alongside other swarm intelligence algorithms by utilizing the CEC2017 test function set. The optimization outcomes of the test functions and the function convergence curves indicate that the TGBKA demonstrates superior optimization precision, a quicker convergence speed, as well as robust anti-interference and environmental adaptability. It is also contrasted with numerous similar algorithms via simulation experiments in various scene models for Unmanned Aerial Vehicle (UAV) path planning. In comparison to other algorithms, the TGBKA produces a shorter flight route, a higher convergence speed, and stronger adaptability to complex environments. It is capable of efficiently addressing UAV path planning issues and improving the UAV's path planning abilities.","url":"https://pubmed.ncbi.nlm.nih.gov/40422140/","authors":["Wang S","Xu B","Zheng Y","Yue Y","Xiong M"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025 May 11","doi":"10.3390/biomimetics10050310","addedAt":"2026-08-31T06:40:05.994Z","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"pmid:40422088","name":"Bio-Inspired Swarm Confrontation Algorithm for Complex Hilly Terrains.","source":"pubmed","abstract":"This paper explores a bio-inspired swarm confrontation algorithm specifically designed for complex hilly terrains in the context of electronic games. The novelty of the proposed algorithm lies in its utilization of biologically inspired strategies to facilitate adaptive and efficient decision-making in dynamic environments. Drawing from the collective hunting behaviors of various animal species, this paper distills two key confrontation strategies: focused fire for target selection and flanking encirclement for movement coordination and attack execution. These strategies are embedded into a decentralized swarm decision-making framework, enabling agents to exhibit enhanced responsiveness and coordination in complex gaming landscapes. To validate its effectiveness, extensive experiments were conducted, comparing the proposed approach against three established algorithms. The results demonstrate that this method achieves a confrontation win rate exceeding 80%, outperforming existing techniques in both engagement efficiency and survivability. Additionally, two novel performance indices, namely the average agent quantity loss rate and the average health loss rate, are introduced to provide a more comprehensive assessment of algorithmic effectiveness. Furthermore, the impact of key algorithmic parameters on performance indices is analyzed, offering insights into the adaptability and robustness of the proposed algorithm.","url":"https://pubmed.ncbi.nlm.nih.gov/40422088/","authors":["Cai H","Ma F","Ni R","Xu W","Gao H"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025 Apr 22","doi":"10.3390/biomimetics10050257","addedAt":"2026-08-31T06:40:05.994Z","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"pmid:40413199","name":"MAVSD: A Multi-Angle View Segmentation Dataset for Detection of Solidago Canadensis L.","source":"pubmed","abstract":"Recent advancements in computer vision and deep learning have advanced automated vegetation monitoring, creating new opportunities for invasive species management. To this end, we introduce MAVSD (Multi-Angle View Segmentation Dataset), specifically designed for detecting Solidago canadensis L., a globally significant invasive plant. The dataset comprises high-resolution images captured by unmanned aerial vehicles from four angles (30&#xb0;, 45&#xb0;, 60&#xb0;, and 90&#xb0;), providing comprehensive coverage of plant structures and enabling in-depth understanding from multiple perspectives. MAVSD includes pixel-level semantic segmentation annotations across 13 classes, meticulously categorizing vegetation and environmental elements. Extensive experiments with state-of-the-art segmentation models validate MAVSD's effectiveness in enhancing invasive species detection and monitoring, with multi-angle training improving mIoU by up to 11% over single-angle baselines. The dataset's multi-angle, high-resolution characteristics strengthen ecological monitoring capabilities, offering valuable resources for research and environmental protection applications.","url":"https://pubmed.ncbi.nlm.nih.gov/40413199/","authors":["Li H","Fu T","Hao H","Yu Z"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025 May 24","doi":"10.1038/s41597-025-05199-y","addedAt":"2026-08-31T06:40:05.994Z","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"pmid:40412165","name":"Monitoring oil spill thickness and weathering using UAV-borne hyperspectral sensing.","source":"pubmed","abstract":"Remote sensing plays a crucial role in the detection and monitoring of oil spills at sea, aiding in emergency response planning and monitoring routines. Despite significant progress in this field, estimating oil thickness remains challenging, impacting response efficacy and liability determination. Traditional methods like the Bonn Agreement Oil Appearance Code (BAOAC) are commonly used operationally. However, interpretation based only on visual identification suffers from subjectivity and limitations in the code designation for oil films. Hyperspectral sensing offers a promising solution for this matter. Previous works have demonstrated a relationship between oil spectral features and oil thickness. However, most of these studies rely on mathematical models validated with aerial or orbital data from old spills, hindering real-time applicability. This study proposes a novel approach based on unmanned aerial vehicles (UAVs) equipped with a hyperspectral camera for real-time data acquisition during offshore spills. The goal was to improve the BAOAC approach by integrating VNIR-SWIR spectral data with visual interpretation to classify oil spills. The methodology evaluates surface area, oil thickness, and weathering stage estimation through a realistic 11-week oil spill experiment. Results demonstrate that the high resolution of data acquired with UAVs can facilitate close-range monitoring of oil spills, especially near oil rigs and shorelines, providing more reliable results when combined with the BAOAC. The methodology can be upscaled by mounting the hyperspectral camera on aircraft or helicopters, providing promising applications for oil spill monitoring and offering practical insights for the short- and long-term management efforts carried out in the petroleum industry.","url":"https://pubmed.ncbi.nlm.nih.gov/40412165/","authors":["Scafutto RDM","Lassalle G","Alves MN","Miranda LP","Costa PMOD","Souza Filho CR"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025 Sep","doi":"10.1016/j.marpolbul.2025.118134","addedAt":"2026-08-31T06:40:05.994Z","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"pmid:40410238","name":"Agile DQN: adaptive deep recurrent attention reinforcement learning for autonomous UAV obstacle avoidance.","source":"pubmed","abstract":"Unmanned Aerial Vehicle (UAV) obstacle avoidance in 3D environments demands sophisticated handling of high-dimensional inputs and effective state representations. Current Deep Reinforcement Learning (DRL) algorithms struggle to prioritize salient aspects of state representations and manage extensive state and action spaces, particularly in partially observable environments. Addressing these challenges, this paper proposes Agile DQN (AG-DQN), a novel algorithm that dynamically focuses on key visual features and robust Q-value estimation to enhance learning. The AG-DQN architecture synergizes several components-Glimpse Network, LSTM Recurrent Network, Emission Network, and Q-Network-to dynamically and selectively process crucial visual features, optimizing decision-making without processing the entire state. AG-DQN's adaptive temporal attention strategy also adjusts to environmental changes, maintaining a balance between recent and past observations. Experimental results demonstrate AG-DQN's improved performance over existing DRL methods, highlighting its potential in advancing autonomous UAV navigation and robotics.","url":"https://pubmed.ncbi.nlm.nih.gov/40410238/","authors":["AlMahamid F","Grolinger K"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025 May 23","doi":"10.1038/s41598-025-03287-y","addedAt":"2026-08-31T06:40:05.994Z","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"pmid:40410232","name":"Mapping open dumps and waste dynamics in a subtropical ecoregion of Argentina.","source":"pubmed","abstract":"The proliferation of plastic waste since the 20th century has exacerbated pollution problems despite technological advances in waste management. In Argentina, 35% of municipal solid waste is discarded in untreated open dumps, causing environmental and public health risks. This study focused on detecting and mapping open dumps in the most densely populated province, Tucum&#xe1;n, using satellite imagery and unmanned aerial vehicles (UAV). Specifically, for each dump we (1) described spatio-temporal dynamics, (2) analyzed topography and hydrology characteristics, and (3) quantified waste mass. We identified and mapped forty open dumps (range size: 0.05 to 3.79 hectare). Most dumps were located within an endorheic basin, at 5&#xa0;km or less from urban centers. Many have increased in size over the last decade, especially larger dumps (&gt;&#x2009;than 1 hectare). The hydrological analysis showed material movement from dumps to surrounding environments, mainly watercourses and crops. Total waste mass averaged 5.72 kilotons (kt) per dump (range: 0.06 to 38.45 kilotons, where 1 kt&#x2009;=&#x2009;1000 tons). This exhaustive survey of open dumps highlights the urgent need for sustainable waste management practices to mitigate environmental and public health risks in Tucum&#xe1;n and other regions facing similar challenges.","url":"https://pubmed.ncbi.nlm.nih.gov/40410232/","authors":["Malizia A","Galindo-Cardona A","Matias E","Gallardo García Freire P","Foguet J","Monmany-Garzia AC"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025 May 23","doi":"10.1038/s41598-025-02653-0","addedAt":"2026-08-31T06:40:05.994Z","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"pmid:40402923","name":"Integrating UAV multispectral imaging and proximal sensing for high-precision cereal crop monitoring.","source":"pubmed","abstract":"Multispectral optical data significantly enhances cereal crop monitoring by enabling precise tracking of growth stages, early detection of germination issues, and assessment of plant health. This study evaluates the potential of integrating UAV multispectral sensor with the handheld Plant-O-Meter device for high-precision crop monitoring. The aim was to determine the optimal UAV imaging timing that aligns with proximal sensor measurements to improve growth stage assessments. Experiments were conducted on 41 cereal genotypes, including ancient and modern varieties, under two nitrogen top-dress dosages across 130 plots. The top ten performing genotypes were analyzed to identify resilient varieties adaptable to climate change and evolving field conditions. Our results demonstrate that vegetation indices during booting and spike emergence stages consistently predict yield potential, offering a robust framework for early-stage yield estimation. Additionally, we provide a comparative analysis of UAV and handheld sensor data, highlighting their respective strengths and limitations. Three vegetation indices, GRDVI, NDVI and SAVI demonstrated a very strong average positive correlation: 0.957, 0.954 and 0.944 across the selected genotypes from different performance levels. The combined dataset supports improved fertilization strategies, optimized seeding cycles, and identification of genotypes with stable agronomic traits. This study underscores the synergistic potential of aerial and proximal sensing technologies for next-generation cereal crop management and precision agriculture.","url":"https://pubmed.ncbi.nlm.nih.gov/40402923/","authors":["Grbović Ž","Ivošević B","Budjen M","Waqar R","Pajević N","Ljubičić N","Kandić V","Pajić M","Panić M"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.1371/journal.pone.0322712","addedAt":"2026-08-31T06:40:05.994Z","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"pmid:40392793","name":"Path planning algorithm for logistics autonomous vehicles at Cainiao stations based on multi-sensor data fusion.","source":"pubmed","abstract":"Efficient path planning and obstacle avoidance in a complex and dynamic environment is one of the key challenges of unmanned vehicle logistics distribution, especially in the logistics scene of Cainiao Station, which involves crowded communities and dynamic campus roads. In view of the shortcomings of existing methods in multi-sensor data fusion and path optimization, this paper proposes a path planning model based on multi-sensor image fusion, named DynaFusion-Plan. The model is able to provide an optimal path from the starting point to the target point in a complex environment, avoiding obstacles and realizing the smoothness and dynamic adjustment ability of the path. The model consists of three modules: the sensor data fusion module uses Convolutional Neural Networks (CNN) and Lidar-Inertial Odometry and Simultaneous Localization and Mapping (LIO-SAM) technology to build a high-precision dynamic environment map; the path planning module combines Artificial Potential Field (APF) and Deep Deterministic Policy Gradient (DDPG) algorithms to balance path length, smoothness, and obstacle avoidance capabilities; the decision and control module uses Model Predictive Control (MPC) and Long Short-Term Memory (LSTM) to achieve real-time path tracking and dynamic adjustment. Experimental results on TartanAir, NuScenes, and AirSim datasets show that DynaFusion-Plan significantly outperforms existing methods in key indicators such as path length (42.5 m vs. 48.7 m), path smoothness ([Formula: see text] vs. [Formula: see text]), and obstacle avoidance success rate (98.7% vs. 85.4%), especially in complex dynamic environments. It shows strong adaptability and stability. This work provides an efficient and reliable solution for unmanned vehicle path planning in intelligent logistics scenarios, and lays the foundation for future optimization directions, such as lightweight model design and more real-world scenario verification.","url":"https://pubmed.ncbi.nlm.nih.gov/40392793/","authors":["Chen Y"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.1371/journal.pone.0321257","addedAt":"2026-08-31T06:40:05.994Z","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"pmid:40374722","name":"Intelligent extraction of urban ventilation corridors based on region growth algorithm with restricted direction.","source":"pubmed","abstract":"Rapid urban developments have resulted in numerous environmental challenges, including severe air quality and heat island effect problems. The construction of urban ventilation corridors provides an effective solution for enhancing air circulation and reducing the heat island effect. The present study focuses on Nanhu District, Jiaxing City, Zhejiang Province, employing Unmanned Aerial Vehicle tilt photography to obtain high-resolution urban remote sensing data and create a three-dimensional digital model of the city. Wind direction and speed over the past decade were analyzed in the proposed study area. Dominant wind directions were identified for both summer and winter seasons to calculate frontal area density under dominant wind directions, while an area growth method was applied with limited direction to determine urban ventilation corridors. The experimental results show two ventilation corridors under the winter-dominant wind direction and four under the summer-dominant wind direction. The results were validated against fieldwork conducted by three urban planning experts, with an error rate of 4.91% and 4.57% on a digital map. Eventually, this study will provide a tangible scientific foundation and technical support for the planning and construction of urban ventilation corridors to mitigate the heat island effect and improve air quality.","url":"https://pubmed.ncbi.nlm.nih.gov/40374722/","authors":["Zhao C"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025 May 15","doi":"10.1038/s41598-025-01804-7","addedAt":"2026-08-31T06:40:05.994Z","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"pmid:40371520","name":"[Application of multi-rotor UAV-borne flux observation system in carbon dioxide flux monitoring of reed wetland].","source":"pubmed","abstract":"The accurate monitoring of ecosystem carbon flux is the key to scientific assessment of terrestrial carbon sequestration. There is a big challenge for the tower-based eddy covariance system to cover multiple ecosystem types in a region. We introduced a multi-rotor UAV-borne flux observation system, and evaluated its observational accuracy based on the comparison of carbon flux between the multi-rotor UAV-borne flux observation system and the tower-based eddy covariance system within an experiment conducted in the reed wetland of the Liaohe Delta from July 27 to 29, 2023. The results showed that the multi-rotor UAV-borne flux observation system could monitor ecosystem carbon flux well, and the observed carbon flux source area was basically consistent with the eddy covariance system. The half-hour ecosystem carbon flux was significantly correlated with the observation results of the eddy correlation system, with a correlation coefficient of 0.889 and a root mean square error of 0.881. Our results provided a scientific basis for using the multi-rotor UAV-borne flux observation system to monitor ecosystem-atmosphere flux exchange across different ecosystem types.","url":"https://pubmed.ncbi.nlm.nih.gov/40371520/","authors":["Jiang XW","Zhou GS","Song XY"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025 Apr","doi":"10.13287/j.1001-9332.202504.003","addedAt":"2026-08-31T06:40:05.994Z","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"pmid:40364399","name":"OE-YOLO: An EfficientNet-Based YOLO Network for Rice Panicle Detection.","source":"pubmed","abstract":"Accurately detecting rice panicles in complex field environments remains challenging due to their small size, dense distribution, diverse growth directions, and easy confusion with the background. To accurately detect rice panicles, this study proposes OE-YOLO, an enhanced framework derived from YOLOv11, incorporating three synergistic innovations. First, oriented bounding boxes (OBB) replace horizontal bounding boxes (HBB) to precisely capture features of rice panicles across different heights and growth stages. Second, the backbone network is redesigned with EfficientNetV2, leveraging its compound scaling strategy to balance multi-scale feature extraction and computational efficiency. Third, a C3k2_DConv module improved by dynamic convolution is introduced, enabling input-adaptive kernel fusion to amplify discriminative features while suppressing background interference. Extensive experiments on rice Unmanned Aerial Vehicle (UAV) imagery demonstrate OE-YOLO's superiority, achieving 86.9% mAP50 and surpassing YOLOv8-obb and YOLOv11 by 2.8% and 8.3%, respectively, with only 2.45 M parameters and 4.8 GFLOPs. The model has also been validated at flight heights of 3 m and 10 m and during the heading and filling stages, achieving mAP50 improvements of 8.3%, 6.9%, 6.7%, and 16.6% compared to YOLOv11, respectively, demonstrating the generalization capability of the model. These advancements demonstrated OE-YOLO as a computationally frugal yet highly accurate solution for real-time crop monitoring, addressing critical needs in precision agriculture for robust, oriented detection under resource constraints.","url":"https://pubmed.ncbi.nlm.nih.gov/40364399/","authors":["Wu H","Guan M","Chen J","Pan Y","Zheng J","Jin Z","Li H","Tan S"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025 Apr 30","doi":"10.3390/plants14091370","addedAt":"2026-08-31T06:40:05.994Z","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"pmid:40363635","name":"3D Reconstruction and Large-Scale Detection of Roads Based on UAV Imagery.","source":"pubmed","abstract":"Accurate and efficient detection of road damage is crucial in traffic safety and maintenance management. Traditional road detection methods have problems such as low efficiency and insufficient accuracy, making it difficult to meet the needs of large-scale road health assessments. With the development of drone technology and computer vision, new ideas have been provided for the automatic detection of road diseases. The existing drone-based road detection methods have poor performance in dealing with complex road scenes such as vehicle occlusion, and there is still room for improvement in 3D modeling accuracy and disease detection accuracy, lacking a comprehensive and efficient solution. This paper proposes a UAV (Unmanned Aerial Vehicle)-based 3D reconstruction and large-scale disease detection method for roads. By capturing aerial images with UAVs and utilizing an improved YOLOv8 model, vehicles in the images are identified and removed. Apply MVSNet (Multi-View Stereo Network) 3D reconstruction algorithm for road surface modeling, and finally use point cloud processing and DBSCAN (Density-Based Spatial Clustering of Applications with Noise) clustering for disease detection. The experimental results show that this method performs excellently in terms of 3D modeling accuracy and speed. Compared with the traditional colmap method, the reconstruction speed is greatly improved, and the reconstruction density is three times that of colmap. Meanwhile, the reconstructed point cloud can effectively detect road smoothness and settlement. This study provides a new method for effective disease detection under complex road conditions, suitable for large-scale road health assessment tasks.","url":"https://pubmed.ncbi.nlm.nih.gov/40363635/","authors":["Zhang X","Cheng S","Wang P","Zheng H","Yang X","Guo Y"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025 May 6","doi":"10.3390/ma18092133","addedAt":"2026-08-31T06:40:05.994Z","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"pmid:40363317","name":"Design and Construction of UAV-Based Measurement System for Water Hyperspectral Remote-Sensing Reflectance.","source":"pubmed","abstract":"Acquiring a large number of in situ water spectral measurements is fundamental for constructing water color remote-sensing retrieval models and validating the accuracy of water color remote-sensing products. However, traditional manual site-based water spectral measurements are time-consuming and labor-intensive, resulting in an insufficient number of in situ water spectral samples to date. To resolve this issue, this study develops an unmanned aerial vehicle-based hyperspectral remote-sensing reflectance measurement system (UAV-RRS) capable of continuous on-the-move water spectral measurements. This paper provides a detailed introduction to the system components and conducts precise experiments on the correction and calibration of the spectral sensors. Using this system, an in situ-UAV-satellite multi-source remote-sensing reflectance comparison experiment was conducted in the middle reaches of the Qiantang River, East China, to evaluate the accuracy and reliability of UAV-RRS and extend the analysis to satellite data across different spatial scales. The results demonstrate that, in small-scale water bodies, UAV-RRS achieves higher spatial precision and spectral accuracy, offering a valuable solution for high-precision, low-altitude continuous water body observations.","url":"https://pubmed.ncbi.nlm.nih.gov/40363317/","authors":["Zeng H","He X","Bai Y","Gong F","Wang D","Zhang X"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025 May 2","doi":"10.3390/s25092879","addedAt":"2026-08-31T06:40:05.994Z","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"pmid:40363294","name":"Efficient Multi-Target Localization Using Dynamic UAV Clusters.","source":"pubmed","abstract":"This paper proposes a dynamic unmanned aerial vehicle (UAV) clustering model for multi-target localization in complex 3D environments, where mobility-aware cluster formation is integrated to enhance collaborative localization accuracy. We derive the Cram&#xe9;r-Rao lower bound (CRLB) for localization performance analysis under measurement and motion-induced uncertainties. To solve the NP-hard clustering problem, we develop the MDQPSO-ASA algorithm, which combines multi-swarm discrete quantum-inspired particle swarm optimization with adaptive simulated annealing, incorporating a repair mechanism to satisfy spatial and cardinality constraints. Simulation results demonstrate the algorithm's superiority in localization accuracy, computational efficiency, and adaptability to varying UAV/target scales compared to baseline methods. The developed algorithm provides an effective solution for resource-constrained collaborative localization tasks in practical scenarios.","url":"https://pubmed.ncbi.nlm.nih.gov/40363294/","authors":["Gong W","Lou S","Deng L","Yi P","Hong Y"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.3390/s25092857","addedAt":"2026-08-31T06:40:05.994Z","updatedAt":"2026-08-31T06:40:08.031Z"},{"id":"pmid:40363244","name":"Mature Rice Biomass Estimation Using UAV-Derived RGB Vegetation Indices and Growth Parameters.","source":"pubmed","abstract":"The biomass of rice at maturity serves as a vital indicator for assessing overall productivity, and its accurate estimation holds significant importance for ensuring food security and promoting sustainable agriculture. To improve the precision of current biomass estimation methods for mature rice, this study employed support vector regression to integrate RGB vegetation indices from rice canopy images with growth parameters, thereby developing a biomass estimation model. The model was validated by applying it to the experimental area. The results indicated that screening RGB vegetation indices and combining them with growth parameters enhanced estimation accuracy. Specifically, the model integrating RGB vegetation indices (g, RGBVI) with rice plant height and moisture content demonstrated high estimation accuracy ( R 2 = 0.78, RMSE = 0.32 kg/m 2 ). The absolute difference between the estimated and measured biomass values ranged from 0.15 to 0.39 kg/m 2 . Additionally, the estimated biomass showed a strong correlation with yield ( R 2 = 0.86), with a fitted equation of y = 0.04 x + 0.59. These results suggest that the model is reliable for large-area estimation of mature rice biomass. However, the degree of rice maturity and the lodging phenomenon were identified as the primary factors influencing the precision of model application. Overall, integrating RGB vegetation indices of the rice canopy, obtained via UAV-based remote sensing technology, with growth parameters provides an effective method for estimating mature rice biomass and offers a valuable reference for efficient yield estimation.","url":"https://pubmed.ncbi.nlm.nih.gov/40363244/","authors":["Liao M","Wang Y","Chu N","Li S","Zhang Y","Lin D"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025 Apr 29","doi":"10.3390/s25092798","addedAt":"2026-08-31T06:40:05.994Z","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"pmid:40363234","name":"A New Hybrid Reinforcement Learning with Artificial Potential Field Method for UAV Target Search.","source":"pubmed","abstract":"Autonomous navigation and target search for unmanned aerial vehicles (UAVs) have extensive application potential in search and rescue, surveillance, and environmental monitoring. Reinforcement learning (RL) has demonstrated excellent performance in real-time UAV navigation through dynamic optimization of decision-making strategies, but its application in large-scale environments for target search and obstacle avoidance is still limited by slow convergence and low computational efficiency. To address this issue, a hybrid framework combining RL and artificial potential field (APF) is proposed to improve the target search algorithm. Firstly, a task scenario and training environment for UAV target search are constructed. Secondly, RL is integrated with APF to form a framework that combines global and local strategies. Thirdly, the hybrid framework is compared with standalone RL algorithms through training and analysis of their performance differences. The experimental results demonstrate that the proposed method significantly outperforms standalone RL algorithms in terms of target search efficiency and obstacle avoidance performance. Specifically, the SAC-APF hybrid framework achieves a 161% improvement in success rate compared to the baseline SAC model, increasing from 0.282 to 0.736 in obstacle scenarios.","url":"https://pubmed.ncbi.nlm.nih.gov/40363234/","authors":["Jin F","Ye Z","Li M","Xiao H","Zeng W","Wen L"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025 Apr 29","doi":"10.3390/s25092796","addedAt":"2026-08-31T06:40:05.994Z","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"pmid:40363226","name":"Vehicle Recognition and Driving Information Detection with UAV Video Based on Improved YOLOv5-DeepSORT Algorithm.","source":"pubmed","abstract":"To investigate whether the skid resistance of the ramp meets the requirements of vehicle driving safety and stability, the simulation using the ideal driver model is inaccurate. Therefore, considering the driver's driving habits, this paper proposes the use of Unmanned aerial vehicles (UAVs) for the collection and extraction of vehicle driving information. To process the collected UAV video, the Google Collaboration platform is used to modify and compile the \"You Only Look Once\" version 5 (YOLOv5) algorithm with Python 3.7.12, and YOLOv5 is retrained with the captured video. The results show that the precision rate P and recall rate R have satisfactory results with an F1 value of 0.86, reflecting a good P-R relationship. The loss function also stabilized at a very low level after 70 training epochs. Then, the trained YOLOv5 is used to replace the Faster R-CNN detector in the DeepSORT algorithm to improve the detection accuracy and speed and extract the vehicle driving information from the perspective of UAV. By coding, the coordinate information of the vehicle trajectory is extracted, the trajectory is smoothed, and the frame difference method is used to calculate the real-time speed information, which is convenient for the establishment of a real driver model.","url":"https://pubmed.ncbi.nlm.nih.gov/40363226/","authors":["Zheng B","Zhou J","Hong Z","Tang J","Huang X"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025 Apr 28","doi":"10.3390/s25092788","addedAt":"2026-08-31T06:40:05.994Z","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"pmid:40363146","name":"The Aboveground Biomass Estimation of the Grain for Green Program Stands Using UAV-LiDAR and Sentinel-2 Data.","source":"pubmed","abstract":"Aboveground biomass (AGB) serves as a crucial indicator of the effectiveness of the Grain for Green Program (GGP), and its accurate estimation is essential for evaluating forest health and carbon sink capacity. However, due to the dominance of sparse forests in GGP stands, research in this area remains significantly limited. In this study, we developed the optimal tree height-diameter at breast height (DBH) growth models for major tree species and constructed a high-quality AGB sample dataset by integrating airborne LiDAR data and tree species information. Then, the AGB of the GGP stands was estimated using the Sentinel-2 data and the gradient boosting decision tree (GBDT) algorithm. The results showed that the AGB sample dataset constructed using the proposed approach exhibited strong consistency with field-measured data (R 2 = 0.89). The GBDT-based AGB estimation model shows high accuracy, with an R 2 of 0.96 and a root mean square error (RMSE) of 560 g/m 2 . Key variables such as tasseled cap greenness (TCG), red-edge normalized difference vegetation index (RENDVI), and visible-band difference vegetation index (VDVI) were identified as highly important. This highlights that vegetation indices and tasseled cap transformation index information are key factors in estimating AGB. The AGB of major tree species in the new round of the GGP stands in Inner Mongolia ranged from 120 to 9253 g/m 2 , with mean values of 978 g/m 2 for poplar, 622 g/m 2 for Mongolian Scots pine, and 313 g/m 2 for Chinese red pine species. This study offers a practical method for AGB estimation in GGP stands, contributing significantly to sustainable forest management and ecological conservation efforts.","url":"https://pubmed.ncbi.nlm.nih.gov/40363146/","authors":["Yueliang G","Ge G","Li X","Ji C","Wang T","Shen T","Zhi Y","Chen C","Zhao L"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025 Apr 24","doi":"10.3390/s25092707","addedAt":"2026-08-31T06:40:05.994Z","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"pmid:40363090","name":"A Uniform Funnel Array for DOA Estimation in FANET Using Fibonacci Sampling.","source":"pubmed","abstract":"The Flying Ad-Hoc Network (FANET) is an important component of the 6G communication system. In order to achieve the precise positioning of unmanned aerial vehicle (UAV) nodes in a FANET when satellite navigation signals are unavailable, simple and accurate direction-of-arrival (DOA) estimation methods are required. In this paper, we propose an improved correlative interferometer method to estimate the DOAs of the UAVs in a FANET. This method adopts a uniform funnel array (UFA) configuration, which consists of a uniform circular array (UCA) and an additional element located above the center. This configuration improves the estimation accuracy for DOAs with large polar angles because it utilizes the degree of freedom in the vertical aperture. In addition, the Fibonacci sampling strategy is employed to overcome the polar clustering phenomenon exhibited by latitude-longitude sampling. Furthermore, in the interferometer, only partial phase differences are used to reduce the storage burden. When calculating the similarity function, we adopt the triangular function instead of the cosine function to improve computational efficiency. The simulation results show that the proposed UFA improves the DOA estimation accuracy by 65.56% over the planar UCA for signals with large polar angles. Moreover, Fibonacci sampling improves the DOA estimation accuracy by 11.54% as compared to the latitude-longitude sampling.","url":"https://pubmed.ncbi.nlm.nih.gov/40363090/","authors":["Huo S","Zhang M","Liu Y","Zhu S"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025 Apr 22","doi":"10.3390/s25092651","addedAt":"2026-08-31T06:40:05.994Z","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"pmid:40360734","name":"AI-IoT based smart agriculture pivot for plant diseases detection and treatment.","source":"pubmed","abstract":"There are some key problems faced in modern agriculture that IoT-based smart farming. These problems such shortage of water, plant diseases, and pest attacks. Thus, artificial intelligence (AI) technology cooperates with the Internet of Things (IoT) toward developing the agriculture use cases and transforming the agriculture industry into robustness and ecologically conscious. Various IoT smart agriculture techniques are escalated in this field to solve these challenges such as drop irrigation, plant diseases detection, and pest detection. Several agriculture devices were installed to perform these techniques on the agriculture field such as drones and robotics but in expense of their limitations. This paper proposes an AI-IoT smart agriculture pivot as a good candidate for the plant diseases detection and treatment without the limitations of both drones and robotics. Thus, it presents a new IoT system architecture and a hardware pilot based on the existing central pivot to develop deep learning (DL) models for plant diseases detection across multiple crops and controlling their actuators for the plant diseases treatment. For the plant diseases detection, the paper augments a dataset of 25,940 images to classify 11-classes of plant leaves using a pre-trained ResNet50 model, which scores the testing accuracy of 99.8%, compared to other traditional works. Experimentally, the F1-score, Recall, and Precision, for ResNet50 model were 99.91%, 99.92%, and 100%, respectively.","url":"https://pubmed.ncbi.nlm.nih.gov/40360734/","authors":["Ibrahim AS","Mohsen S","Selim IM","Alroobaea R","Alsafyani M","Baqasah AM","Eassa M"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025 May 13","doi":"10.1038/s41598-025-98454-6","addedAt":"2026-08-31T06:40:05.994Z","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"pmid:40354101","name":"The Medical Implications of Emerging Unmanned Aircraft Systems in Military and Combat Environments: A Narrative Review.","source":"pubmed","abstract":"The widespread adoption of unmanned aircraft systems (UAS) has fundamentally altered modern combat, expanding beyond reconnaissance to include offensive strikes. Their affordability and accessibility have enabled both state and nonstate actors to integrate UAS into military operations. Despite their increasing use, the impact of UAS on military medical operations remains underrepresented in the literature. This review contextualizes current UAS capabilities and examines their implications for military medicine.","url":"https://pubmed.ncbi.nlm.nih.gov/40354101/","authors":["Nowadly CD Maj","Maddry JK Col","Vargas CR CPT","MacDonald AG Capt","Maksimenko YM Maj","Hewitt CW Lt Col","Silverman MB CPT","Sawyer DH Maj","Long BJ Lt Col"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025 Nov 1","doi":"10.1093/milmed/usaf189","addedAt":"2026-08-31T06:40:05.994Z","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"pmid:40349423","name":"A simulation study on traffic conflict risk under shockwave propagation at signalized intersections.","source":"pubmed","abstract":"Traffic congestion and safety at signalized intersections are critical concerns in urban mobility management. The interaction between shockwaves caused by stop-and-go vehicles and the resultant conflict risk remains inadequately understood, necessitating detailed investigation. This study aims to explore the relationship between traffic conflict risk and shockwave propagation at signalized intersections through simulation, focusing on the dynamic conditions as vehicles queue and dissipate. The vehicle trajectory data extracted from the video captured by unmanned aerial vehicles (UAVs) is utilized in this study. The Simulation of Urban MObility (SUMO) software was selected as the simulation platform for building the simulation model. To ensure accuracy, the trajectories are refined with data smoothing and sampling, providing a reliable benchmark input for the simulation model development. Moreover, surrogate safety measures (SSMs) such as modified time to collision (MTTC) and deceleration rate to avoid a crash (DRAC), along with shockwave analysis (SA) were used to investigate the impact of driving risk when shockwave propagates in the queue. Then, the relationship between shockwaves and driving risk was explored under the calibrated model in a signalized intersection scenario. The study results show that conflicts occurred during the process of vehicles approaching until they stop and join the queue. Subsequently, the risk propagated at the tail of the growing queue. Additionally, the space-time diagram reveals that the risk propagation may be initiated before or along with the shockwave's propagation. The findings provide insights for developing control strategies at signalized intersections through the uncovered correlation between the conflict risk and shockwave, contributing to the comprehensive understanding of traffic flow and safety at intersections.","url":"https://pubmed.ncbi.nlm.nih.gov/40349423/","authors":["Wang J","Yang H","Zhu Y","Xie K","Yan Z","Pu Q"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025 Aug","doi":"10.1016/j.aap.2025.108081","addedAt":"2026-08-31T06:40:05.994Z","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"pmid:40346889","name":"Massive transfusion on the combat field using autonomous drones: A case report.","source":"pubmed","abstract":"Hemorrhage is a leading cause of preventable deaths in combat settings, requiring rapid blood transfusion to improve survival. While the feasibility of drone-assisted medical logistics has been explored, its practical application in battlefield transfusion remains unreported.","url":"https://pubmed.ncbi.nlm.nih.gov/40346889/","authors":["Türkoğlu B","Ünlü MG","Çamur M","Coşkun AK","Ünlü A"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025 Jul","doi":"10.1111/trf.18279","addedAt":"2026-08-31T06:40:05.994Z","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"pmid:40346100","name":"R-AFPN: a residual asymptotic feature pyramid network for UAV aerial photography of small targets.","source":"pubmed","abstract":"This study proposes an improved Residual Asymptotic Feature Pyramid Network (R-AFPN) to address challenges in small target detection from the Unmanned Aerial Vehicle (UAV) perspectives, such as scale imbalance, feature extraction difficulty, occlusion, and computational constraints. The R-AFPN integrates three key modules: Residual Asymptotic Feature Fusion (RAFF) for adaptive spatial fusion and cross-scale linking, Shallow Information Extraction (SIE) for capturing detailed shallow features, and Hierarchical Feature Fusion (HFF) for bottom-up incremental fusion to enhance deep feature details. Experimental results demonstrate that R-AFPN-L achieves 50.7% AP 50 on the TinyPerson dataset and 48.9% mAP 50 on the VisDrone2019 dataset, outperforming the baseline by 3% and 1.2%, respectively, while reducing parameters by 15.1%. This approach offers a lightweight, efficient solution for small target detection in UAV applications.","url":"https://pubmed.ncbi.nlm.nih.gov/40346100/","authors":["Chen Z","Ma Y","Gong Z","Cao M","Yang Y","Wang Z","Wang T","Li J","Liu Y"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025 May 9","doi":"10.1038/s41598-025-00008-3","addedAt":"2026-08-31T06:40:05.994Z","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"pmid:40344042","name":"Vegetation extraction through UAV RGB imagery and efficient feature selection.","source":"pubmed","abstract":"Accurate identification of vegetation in mining areas is crucial for conducting pre-mining ecological assessments and post-mining ecological monitoring. However, the vegetation in the mining area is always highly heterogeneous including both field crops and naturally scattered growing vegetation, which brings great challenges for fine vegetation mapping. Feature combinations are an important factor to influence the vegetation mapping. Thus, to effectively identify the vegetation, this study utilized an unmanned aerial vehicle (UAV) RGB image to extract vegetation indexes and textures, and then selected features based on standard deviation and difference coefficient. By integrating selected optimal features with RGB images, different combinations were constructed and classified using Support Vector Machine (SVM). The results demonstrated that the combination of RGB and all selected features yielded the highest accuracy, followed by the combination of RGB and a single type of texture, and then the combination of RGB and VIs, which indicated that texture features were more important than VIs for vegetation identification. The OA and Kappa for the best combination were 87.76% and 0.8351 for study area A, and 88.74% and 0.8505 for study area B, indicating the effectiveness of the adopted method. Besides, compared with the commonly used random forest (RF) feature selection method, the adopted method avoided complex parameter settings and constructed a superior optimal combination, which further proved the simplicity and effectiveness of difference coefficient-based feature selection methods for vegetation classification in highly heterogeneous environments, contributing to more accurate ecological assessments and monitoring.","url":"https://pubmed.ncbi.nlm.nih.gov/40344042/","authors":["Dong J","Zhang J","Zhang S","Yu Z","Song Z","Meng T"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.1371/journal.pone.0322180","addedAt":"2026-08-31T06:40:05.994Z","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"pmid:40343527","name":"UAV-based water pollutants detection and classification framework using multi-modal and multi-sensor ensemble learning.","source":"pubmed","abstract":"The massive increment in water pollutants due to the release of plastic, industrial, and household waste has threatened the delicate balance of ecosystems and the well-being of human life. Therefore, detection and monitoring of such water pollutants have become an essential task for the widespread and open surface water bodies. Recent advancements in UAVs with Computer Vision (CV) models and communication technologies have given the scope to automate the process of pollutant monitoring in such surface water bodies, minimizing human intervention. This paper presents a comprehensive framework integrating UAVs for autonomous data collection and pollutant classification. The customized YOLOv5 model is utilized for both the classification and detection of water pollutants, enhancing efficiency and accuracy. Moreover, we propose a multi-modal feature extraction module that uses Vision Transformer (ViT), YOLOv5, and NodeMCU sensors to create a comprehensive data representation. The extracted features are then classified using an ensemble model combining TabNet and XGBoost, improving the overall classification performance. An image dataset for water pollutant detection has been prepared using video sequences captured by a UAV-based camera at different zoom levels and altitudes. The results show that the proposed model performed better than the MobileNet, YOLOv4, YOLOv5s, and YOLOv8 in terms of both the response time and the mAP of ( 94.7 % ) for Algae, ( 96.7 % ) for trash, and ( 94.3 % ) for the classification of pollutants of multi-classes. This work aims to advance the deployment of UAVs for environmental monitoring, providing an efficient and scalable solution for water pollutant detection.","url":"https://pubmed.ncbi.nlm.nih.gov/40343527/","authors":["Pichhika HC","Yerra RVP"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025 May 9","doi":"10.1007/s10661-025-14104-4","addedAt":"2026-08-31T06:40:05.994Z","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"pmid:40335628","name":"Exploiting tethered and untethered UAVs: a hybrid aerial communication system.","source":"pubmed","abstract":"Thanks to its flexibility and cost-effectiveness, an unmanned aerial vehicle-mounted base station (UAV-BS) is a promising technology for the upcoming 6G wireless networks. Furthermore, tethered UAVs (T-UAVs), which are powered via a tether by an energy source on the ground, can overcome the limited operation time of UAV-BS networks. Hence, T-UAVs sacrifice their mobility and flexibility to maintain long-lasting flight, unlike untethered UAVs (U-UAVs) that can not fly for more than 30 mins. To exploit the best of each type of UAV, the deployment of both T-UAVs and U-UAVs as aerial base stations is investigated. In this paper, we propose a hybrid system composed of tethered and untethered UAVs. We analyze the system by generating Monte Carlo simulations to find a compromise between the two different types of UAVs. Our results prove that for specific cases, the coexistence of tethered and untethered UAVs improves the performance of the system.","url":"https://pubmed.ncbi.nlm.nih.gov/40335628/","authors":["Khemiri S","Kishk MA","Alouini MS"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025 May 7","doi":"10.1038/s41598-025-99761-8","addedAt":"2026-08-31T06:40:05.994Z","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"pmid:40334419","name":"Efficient estimation of plant species diversity in desert regions using UAV-based quadrats and advanced machine learning techniques.","source":"pubmed","abstract":"Understanding the distribution of plant species diversity(PSD) along spatial and environmental gradients is essential for implementing effective conservation strategies. However, effective monitoring of large-scale PSD in desert regions remain challenging. In this study, traditional and unmanned aerial vehicle (UAV) quadrat surveys were employed to monitor the vegetation composition in the desert regions of the Junggar Basin, China. By combining multi-source data, two variable selection methods (elastic net regression and Boruta) and two machine learning algorithms (support vector machines and boosted regression trees) were used to develop PSD estimation models. This study aimed to investigate spatiotemporal variations in PSD and their driving factors. The results are as follows. (1) UAV method is more efficient and accurate than traditional methods in investigating PSD in desert areas. (2) The model combining variables selected by Elastic Net Regression and the Boosted Regression Trees algorithm is the optimal model for estimating PSD in desert areas(R 2 &#xa0;=&#xa0;0.476-0.613, RMSE&#xa0;=&#xa0;0.135-2.2, MAE&#xa0;=&#xa0;0.1-1.72). (3) The central region of the basin exhibited lower PSD, whereas the peripheral regions demonstrated higher PSD but were more heavily impacted by external disturbances. Over the past 20 years, 5.99&#xa0;%-13.87&#xa0;% of the area has shown a significant decline in PSD. (4) Cumulative precipitation and soil organic carbon are the primary drivers of PSD's spatial patterns, while human disturbance dictates its temporal dynamics. This study introduced a novel method for estimating PSD, providing a theoretical foundation for ecological restoration, and biodiversity conservation in the study region.","url":"https://pubmed.ncbi.nlm.nih.gov/40334419/","authors":["Xin H","Zhang R","Zhang L","Xu H","Yu X","Gou X","Gao Z"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025 Jun","doi":"10.1016/j.jenvman.2025.125614","addedAt":"2026-08-31T06:40:05.994Z","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"pmid:40333647","name":"Graphene-Based Absorber: Tunable, Highly Sensitive, Six-Frequency.","source":"pubmed","abstract":"Due to the equipartition exciton property of graphene metamaterials, researchers have applied them to the design of absorbers and developed a series of absorbers covering different wavebands (including narrowband and broadband). In this paper, an absorber based on surface-isotropic excitations was designed with the help of graphene metamaterials and relevant simulations. The absorber exhibited six perfect absorption peaks in the mid-infrared band and had an extremely simple structure consisting of only three layers: a gold layer at the bottom, a dielectric layer made of silica in the middle, and patterned graphene at the top. This absorber possesses excellent tuning ability, and by applying an external bias to the graphene layer, the Fermi energy level of graphene can be adjusted, and thus the resonance frequency of the absorption peak can be tuned. Meanwhile, the effect of the graphene relaxation time on the absorber performance was investigated. In addition, the refractive index of the dielectric layer was found to be linearly related to the resonance frequency of the absorption peak. It is worth mentioning that the absorber structure possessed polarization insensitivity due to its central symmetry. Even when incident light with different polarizations was incident over a wide range of angles, the change in absorbance of the absorption peaks was negligible, demonstrating significant insensitivity to the angle of incidence. The sensor possesses excellent characteristics such as tunability, polarization insensitivity, incident angle insensitivity, and high sensitivity. This paper demonstrates the feasibility of a six-frequency sensor and opens up more ideas for the design of multi-frequency sensors.","url":"https://pubmed.ncbi.nlm.nih.gov/40333647/","authors":["Wang X","He X","Yang H","Bao X","Tang Y","Wu P","Yi Y"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025 Apr 10","doi":"10.3390/molecules30081688","addedAt":"2026-08-31T06:40:05.994Z","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"pmid:40328796","name":"Ground-truthed and high-resolution drone images of the leafy spurge weed plant (Euphorbia esula).","source":"pubmed","abstract":"This dataset comprises 1.3&#x2009;cm resolution aerial images of grasslands in western Montana, USA, captured by a commercial drone. Many scenes contain leafy spurge (Euphorbia esula), introduced to North America, now widespread in rangeland ecosystems, which is highly invasive and damaging to crop production and biodiversity. Technicians surveyed 1000 points in the study area, noting spurge presence or absence, and recorded each point's position with precision global navigation satellite systems. We cropped tiles from an orthomosaic image at these locations. We publicly release these images and metadata as a Hugging Face Dataset, accessible in one line of code. Our aim is to invite the research community to develop classifiers as early warning systems for spurge invasion. We tested classification performance for two contemporary vision models and achieved 0.85 test accuracy. This demonstrates the feasibility yet difficulty of this classification task.","url":"https://pubmed.ncbi.nlm.nih.gov/40328796/","authors":["Doherty K","Gurinas M","Samsoe E","Casper C","Larkin B","Ramsey P","Trabucco B","Salakhutdinov R"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025 May 6","doi":"10.1038/s41597-025-05094-6","addedAt":"2026-08-31T06:40:05.994Z","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"pmid:40325205","name":"An online 11 kv distribution system insulator defect detection approach with modified YOLOv11 and mobileNetV3.","source":"pubmed","abstract":"With the advent of smart distribution grids, detection of defects in insulators with unmanned aerial vehicles as a part of distribution automation system (DAS) has attained a widespread attention. The defects are essential to detect to avoid damaging the service life of distribution lines, serious power loss and cascading power outages in extreme conditions. The intricate background, limited image dataset and small-scale object makes the problem of detection more complex. Owing to the exponential advancement in deep learning, deep learning-based insulator defect detection is gradually attaining a foothold in the research domain. This paper presents a novel approach for detecting insulator defects in an 11&#xa0;kV distribution system using a modified version of You Only Look Once (YOLO V11) and the MobileNetV3 model. Data augmentation was applied as part of the preprocessing phase to train the proposed model. The model's performance was compared with earlier versions of YOLO and other existing methods to demonstrate its effectiveness. Additionally, multiple case studies were conducted to validate the method's robustness and reliability for insulator defect detection. This paper incorporates a modified version of YOLOv11 architecture using the constituent C3K2, SPFF and C2PSA algorithmic blocks, mounted with a MobileNetV3 classifier to allow lightweight framework in DAS based devices. Studies involving various real-life scenarios show the efficacy and applicability of the proposed algorithmic pipeline.","url":"https://pubmed.ncbi.nlm.nih.gov/40325205/","authors":["Bhagwat A","Dutta S","Saha D","Reddy MJB"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025 May 5","doi":"10.1038/s41598-025-99756-5","addedAt":"2026-08-31T06:40:05.994Z","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"pmid:40319117","name":"Bio-inspired motion detection models for improved UAV and bird differentiation: a novel deep learning framework.","source":"pubmed","abstract":"The rapid increase in Unmanned Aerial Vehicle (UAV) deployments has led to growing concerns about their detection and differentiation from birds, particularly in sensitive areas like airports. Existing detection systems often struggle to distinguish between UAVs and birds due to their similar flight patterns, resulting in high false positive rates and missed detections. This research presents a bio-inspired deep learning model, the Spatiotemporal Bio-Response Neural Network (STBRNN), designed to enhance the differentiation between UAVs and birds in real-time. The model consists of three core components: a Bio-Inspired Convolutional Neural Network (Bio-CNN) for spatial feature extraction, Gated Recurrent Units (GRUs) for capturing temporal motion dynamics, and a novel Bio-Response Layer that adjusts attention based on movement intensity, object proximity, and velocity consistency. The dataset used includes labeled images and videos of UAVs and birds captured in various environments, processed following YOLOv7 specifications. Extensive experiments were conducted comparing STBRNN with five state-of-the-art models, including YOLOv5, Faster R-CNN, SSD, RetinaNet, and R-FCN. The results demonstrate that STBRNN achieves superior performance across multiple metrics, with a precision of 0.984, recall of 0.964, F1 score of 0.974, and an IoU of 0.96. Additionally, STBRNN operates at an inference time of 45ms per frame, making it highly suitable for real-time applications in UAV and bird detection.","url":"https://pubmed.ncbi.nlm.nih.gov/40319117/","authors":["Al-Zadjali NSH","Balasubaramanian S","Savarimuthu C","Rances EO"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025 May 3","doi":"10.1038/s41598-025-99951-4","addedAt":"2026-08-31T06:40:05.994Z","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"pmid:40303858","name":"High-throughput method for improving rice AGB estimation based on UAV multi-source remote sensing image feature fusion and ensemble learning.","source":"pubmed","abstract":"The rapid and non-destructive estimation of rice aboveground biomass (AGB) is vital for accurate growth assessment and yield prediction. However, vegetation indices (VIs) often suffer from saturation due to high canopy coverage and vertical organs, limiting their accuracy across multiple growth stages. Therefore, this study utilizes UAV-acquired RGB and multi-spectral (MS) images during several critical rice stages to explore the potential of multi-source data fusion for accurately and cost-effectively estimating rice AGB.","url":"https://pubmed.ncbi.nlm.nih.gov/40303858/","authors":["Li J","Li J","Zhao D","Cao Q","Yu F","Cao Y","Feng S","Xu T"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.3389/fpls.2025.1576212","addedAt":"2026-08-31T06:40:05.994Z","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"pmid:40302943","name":"Recent Progress of Soft and Bioactive Materials in Flexible Bioelectronics.","source":"pubmed","abstract":"Materials that establish functional, stable interfaces to targeted tissues for long-term monitoring/stimulation equipped with diagnostic/therapeutic capabilities represent breakthroughs in biomedical research and clinical medicine. A fundamental challenge is the mechanical and chemical mismatch between tissues and implants that ultimately results in device failure for corrosion by biofluids and associated foreign body response. Of particular interest is in the development of bioactive materials at the level of chemistry and mechanics for high-performance, minimally invasive function, simultaneously with tissue-like compliance and in&#xa0;vivo biocompatibility. This review summarizes the most recent progress for these purposes, with an emphasis on material properties such as foreign body response, on integration schemes with biological tissues, and on their use as bioelectronic platforms. The article begins with an overview of emerging classes of material platforms for bio-integration with proven utility in live animal models, as high performance and stable interfaces with different form factors. Subsequent sections review various classes of flexible, soft tissue-like materials, ranging from self-healing hydrogel/elastomer to bio-adhesive composites and to bioactive materials. Additional discussions highlight examples of active bioelectronic systems that support electrophysiological mapping, stimulation, and drug delivery as treatments of related diseases, at spatiotemporal resolutions that span from the cellular level to organ-scale dimension. Envisioned applications involve advanced implants for brain, cardiac, and other organ systems, with capabilities of bioactive materials that offer stability for human subjects and live animal models. Results will inspire continuing advancements in functions and benign interfaces to biological systems, thus yielding therapy and diagnostics for human healthcare.","url":"https://pubmed.ncbi.nlm.nih.gov/40302943/","authors":["Wu X","Ye Y","Sun M","Mei Y","Ji B","Wang M","Song E"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.34133/cbsystems.0192","addedAt":"2026-08-31T06:40:05.994Z","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"pmid:40301417","name":"Dynamic reconnaissance operations with UAV swarms: adapting to environmental changes.","source":"pubmed","abstract":"This study introduces a novel framework for dynamic reconnaissance operations using Unmanned Aerial Vehicle (UAV) swarms, designed to adapt in real time to changes in mission parameters and UAV availability. Unlike traditional models that assume static operational conditions, our approach distinguishes between two key categories of change: Type I, related to modifications in the UAV swarm (e.g., vehicle loss or deployment), and Type II, concerning adjustments in mission configuration or the area of responsibility. These are jointly addressed within a unified optimization framework based on Ant Colony Optimization (ACO), allowing efficient trajectory planning and rapid replanning during mission execution. As part of the framework, we propose a Pheromone Matrix Initialization (PMI) technique to accelerate convergence in Type I scenarios by reusing heuristic information from prior optimizations. The effectiveness of the overall framework is validated through six realistic scenarios, demonstrating its ability to maintain mission continuity with minimal delay and to respond efficiently to complex and sequential changes. Comparative analysis shows consistent superior performance over classical and state-of-the-art methods, with reductions in optimization time and mission completion time. This work delivers a practical, scalable solution for mission planning in uncertain and time-sensitive UAV operations.","url":"https://pubmed.ncbi.nlm.nih.gov/40301417/","authors":["Stodola P","Nohel J","Horák L"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.1038/s41598-025-00201-4","addedAt":"2026-08-31T06:40:05.994Z","updatedAt":"2026-08-31T06:40:08.031Z"},{"id":"pmid:40299989","name":"Internal iteration gradient estimator based parameter identification for nonlinear sandwich system subject to quantized sensor and friction nonlinearity.","source":"pubmed","abstract":"This study proposes an internal iteration scalar-innovation gradient estimation method based on multi-innovation theory for a nonlinear sandwich system subject to a quantized sensor and friction nonlinearity. Different from the existing multi-innovation gradient method (MISG ), the proposed method is designed to resolve the existing shortages of the conventional MISG. First, the decomposing method is applied to derive the identification model, and the redundant parameter estimation problem is avoided. Then, an adaptive filter based on the prior knowledge of the system is proposed to obtain the helpful identification data. Second, to solve the multi-innovation length problem in MISG, the internal iteration principle is presented to convert the multi-innovation updating to scalar-innovation updating under a given innovation length, where the positive estimation performance can be achieved. Subsequently, the trigger mechanism is used to produce the suboptimal initial estimate value when the next parameter adaptive law is updated. Then, the fast convergence rate is obtained. Finally, the proposed estimation strategy is verified by conducting a numerical example and an experiment on a practical electromechanical system test bench.","url":"https://pubmed.ncbi.nlm.nih.gov/40299989/","authors":["Lei H","Zhang Y","Lu X"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.1371/journal.pone.0321175","addedAt":"2026-08-31T06:40:05.994Z","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"pmid:40295663","name":"Multi-UAV path planning considering multiple energy consumptions via an improved bee foraging learning particle swarm optimization algorithm.","source":"pubmed","abstract":"With the advancement of unmanned aerial vehicle (UAV) technology, UAVs, such as multi-rotor drones, have found widespread application in wireless sensor networks. In scenarios where multiple UAVs collaborate to gather sensor data from the field, it is essential to establish a path planning model that incorporates an accurate energy consumption model for these UAVs. The power consumption of a multi-rotor drone varies depending on its flight state. When UAVs traverse various locations, it is not only the power required for steady-level flight that must be considered, but also the power necessary for acceleration, deceleration, climbing, and turning. This paper presents a path planning model for multiple UAVs, termed the Multi-UAV Path Planning Considering Multiple Energy Consumptions (MUAVPP-MEC). The solution derived adheres to the constraint that UAV flight energy consumption should not exceed the maximum stored energy, with the goal of minimizing the total flight time across all UAV paths. To tackle the MUAVPP-MEC, this study proposes an improved Bee Foraging Learning Particle Swarm Optimization algorithm (IBFLPSO), which integrates the bee-foraging algorithm into the particle swarm optimization framework. The IBFLPSO facilitates an efficient real-number encoding and greedy segmenting sequence decoding strategy, translating the solution space of the problem into the search space of the algorithm. To improve the optimization capabilities of the algorithm, IBFLPSO utilizes the energy-constrained 2-opt as a local search operator. In Experiment 1, the proposed model and algorithm are validated through three distinct case studies, demonstrating the stability and efficacy of the methods. It is clearly observed that as the number of collection points increases, both the total cruising time and energy consumption of the model rise significantly, thus confirming the accuracy of the model. In Experiment 2, when compared with four other algorithms, IBFLPSO outperforms them in both the optimal and average solutions. Specifically, the optimal solution of IBFLPSO is 54.64%, 49.45%, 25.78%, and 22.92% better than those of the traditional PSO algorithm, PSO-2OPT algorithm, GA, and BFLPSO, respectively.","url":"https://pubmed.ncbi.nlm.nih.gov/40295663/","authors":["Qi Y","Jiang H","Huang G","Yang L","Wang F","Xu Y"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.1038/s41598-025-99001-z","addedAt":"2026-08-31T06:40:05.994Z","updatedAt":"2026-08-31T06:40:09.763Z"},{"id":"pmid:40293100","name":"An Ultra-Wideband Handover System for GPS-Free Bridge Inspection Using Drones.","source":"pubmed","abstract":"This study proposes an ultra-wideband (UWB) handover system that increases the range of UWB positioning for bridge inspection using an unmanned aerial vehicle (UAV). A bipartite graph and a greedy algorithm are used, and the problem is transformed into vertex coloring to address the challenge of a large number of anchors and insufficient anchor IDs because the area is long and there are numerous beams and columns under the bridge. Simulation and experiment show that the solution reduces the number of anchors that are required from 27 to 14, which significantly saves deployment costs and reduces power consumption.","url":"https://pubmed.ncbi.nlm.nih.gov/40293100/","authors":["Wang PH","Wu RB"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025 Mar 19","doi":"10.3390/s25061923","addedAt":"2026-08-31T06:40:05.994Z","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"pmid:40292883","name":"Applications of Cd(Zn)Te Radiation Detectors in Non-Destructive Testing and Evaluation.","source":"pubmed","abstract":"This review explores the applications of room temperature semiconductor detectors, with a focus on Cd(Zn)Te based detection systems, in non-destructive testing and evaluation (NDT&amp;E). Cd(Zn)Te detectors, which operate efficiently at ambient temperatures, eliminate the need for cryogenic cooling systems and offer high energy and spatial resolution, making them ideal for a wide range of NDT&amp;E applications. Key performance parameters such as energy resolution, spatial resolution, time resolution, detector efficiency, and form factor are discussed. The paper highlights the utilization of Cd(Zn)Te detectors in various imaging and spectroscopic applications, including nuclear threat detection and non-proliferation, archaeological NDT, and Unmanned Aerial Vehicle radiological surveying. Cd(Zn)Te detectors hold significant promise in NDT&amp;E due to their high-resolution imaging, superior spectroscopic capabilities, versatility, and portability.","url":"https://pubmed.ncbi.nlm.nih.gov/40292883/","authors":["Whittemore AR","Zannoni EM"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025 Mar 13","doi":"10.3390/s25061776","addedAt":"2026-08-31T06:40:05.994Z","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"pmid:40292698","name":"Leveraging Federated Satellite Systems for Unmanned Medical Evacuation on the Battlefield.","source":"pubmed","abstract":"This paper evaluates the role of federated satellite systems (FSSs) in enhancing unmanned vehicle-supported military medical evacuation (MEDEVAC) missions. An FSS integrates multiple satellite systems, thus improving imaging and communication capabilities compared with standalone satellite systems. A simulation model is developed for a MEDEVAC mission where the FSS control of an unmanned aerial vehicle is distributed across different countries. The model is utilized in a simulation experiment in which the capabilities of the federated and standalone systems in MEDEVAC are compared. The performance of these systems is evaluated by using the most meaningful metrics, i.e., mission duration and data latency, for evacuation to enable life-saving procedures. The simulation results indicate that the FSS, using low-Earth-orbit constellations, outperforms standalone satellite systems. The use of the FSS leads to faster response times for urgent evacuations and low latency for the real-time control of unmanned vehicles, enabling advanced remote medical procedures. These findings suggest that investing in hybrid satellite architectures and fostering international collaboration promote scalability, interoperability, and frequent-imaging opportunities. Such features of satellite systems are vital to enhancing unmanned vehicle-supported MEDEVAC missions in combat zones.","url":"https://pubmed.ncbi.nlm.nih.gov/40292698/","authors":["Halme K","Kirjamäki O","Pietarinen S","Majanen M","Virtanen K","Höyhtyä M"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025 Mar 7","doi":"10.3390/s25061655","addedAt":"2026-08-31T06:40:05.994Z","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"pmid:40287429","name":"Toward based on concentrated multi-scale linear attention real-time UAV tracking using joint natural language specification.","source":"pubmed","abstract":"Based on natural language specification unmanned aerial vehicle tracking mission goal is to automatically and continuously track the target in subsequent frames by natural language descriptions. Existing tracking methods typically handle this problem through two separate steps: visual grounding and object tracking. However, this independent solution would result in ignoring the relationship between visual grounding and object tracking, e.g., natural language can provide semantic information about the target, and this solution would also result in an inability to train end-to-end. Therefore, we propose a framework based on natural language specification that integrates visual grounding and object tracking, redefining it as a unified task. This framework can track the object based on a given natural language reference. First, the proposed triangular integration effectively establishes the relationship between natural language and images (template image and search image). Then in order to accomplish multi-scale learning and global receptive field, and effectively improve the flexibility of the method to the visual characteristics of the tracking target, we designed a new lightweight concentrated multi-scale linear attention. Additionally, to reduce computational complexity, we introduced residuals. Finally, experiments conducted on six UAV tracking datasets showed that our tracker achieved accuracy, success rate, and average speed of 0.819, 0.654, and 61 FPS, respectively, outperforming other state-of-the-art trackers.","url":"https://pubmed.ncbi.nlm.nih.gov/40287429/","authors":["Du G","Zhou P","Yadikar N","Aysa A","Ubul K"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025 Apr 26","doi":"10.1038/s41598-025-85335-1","addedAt":"2026-08-31T06:40:05.994Z","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"pmid:40285227","name":"YOLO-MARS: An Enhanced YOLOv8n for Small Object Detection in UAV Aerial Imagery.","source":"pubmed","abstract":"In unmanned aerial vehicle (UAV) aerial imagery scenarios, challenges such as small target size, compact distribution, and mutual occlusion often result in missed detections and false alarms. To address these challenges, this paper introduces YOLO-MARS, a small target recognition model that incorporates a multi-level attention residual mechanism. Firstly, an ERAC module is designed to enhance the ability to capture small targets by expanding the feature perception range, incorporating channel attention weight allocation strategies to strengthen the extraction capability for small targets and introducing a residual connection mechanism to improve gradient propagation stability. Secondly, a PD-ASPP structure is proposed, utilizing parallel paths for differentiated feature extraction and incorporating depthwise separable convolutions to reduce computational redundancy, thereby enabling the effective identification of targets at various scales under complex backgrounds. Thirdly, a multi-scale SGCS-FPN fusion architecture is proposed, adding a shallow feature guidance branch to establish cross-level semantic associations, thereby effectively addressing the issue of small target loss in deep networks. Finally, a dynamic WIoU evaluation function is implemented, constructing adaptive penalty terms based on the spatial distribution characteristics of predicted and ground-truth bounding boxes, thereby optimizing the boundary localization accuracy of densely packed small targets from the UAV viewpoint. Experiments conducted on the VisDrone2019 dataset demonstrate that the YOLO-MARS method achieves 40.9% and 23.4% in the mAP50 and mAP50:95 metrics, respectively, representing improvements of 8.1% and 4.3% in detection accuracy compared to the benchmark model YOLOv8n, thus demonstrating its advantages in UAV aerial target detection.","url":"https://pubmed.ncbi.nlm.nih.gov/40285227/","authors":["Zhang G","Peng Y","Li J"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025 Apr 17","doi":"10.3390/s25082534","addedAt":"2026-08-31T06:40:05.994Z","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"pmid:40285192","name":"A Hybrid Method to Solve the Multi-UAV Dynamic Task Assignment Problem.","source":"pubmed","abstract":"In the rapidly evolving field of aerial robotics, the coordinated management of multiple unmanned aerial vehicle (multi-UAV) systems to address complex and dynamic environments is increasingly critical. Multi-UAV systems promise enhanced efficiency and effectiveness in various applications, from disaster response to infrastructure inspection, by leveraging the collective capabilities of UAV fleets. However, the dynamic nature of such environments presents significant challenges in task allocation and real-time adaptability. This paper introduces a novel hybrid algorithm designed to optimize multi-UAV task assignments in dynamic environments. State-of-the-art solutions in this domain have exhibited limitations, particularly in rapidly responding to dynamic changes and effectively scaling to large-scale environments. The proposed solution bridges these gaps by combining clustering to group and assign tasks in an initial offline phase with a dynamic partial reassignment process that locally updates assignments in response to real-time changes, all within a centralized-distributed communication topology. The simulation results validate the superiority of the proposed solution and demonstrate its improvements in efficiency and responsiveness over existing solutions. Additionally, the results highlight the scalability of the solution in handling large-scale problems and demonstrate its ability to efficiently manage a growing number of UAVs and tasks. It also demonstrated robust adaptability and enhanced mission effectiveness across a wide range of dynamic events and different scale scenarios.","url":"https://pubmed.ncbi.nlm.nih.gov/40285192/","authors":["Alqefari S","Menai MEB"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025 Apr 16","doi":"10.3390/s25082502","addedAt":"2026-08-31T06:40:05.994Z","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"pmid:40285122","name":"ED-Swin Transformer: A Cassava Disease Classification Model Integrated with UAV Images.","source":"pubmed","abstract":"The outbreak of cassava diseases poses a serious threat to agricultural economic security and food production systems in tropical regions. Traditional manual monitoring methods are limited by efficiency bottlenecks and insufficient spatial coverage. Although low-altitude drone technology offers advantages such as high resolution and strong timeliness, it faces dual challenges in the field of disease identification, such as complex background interference and irregular disease morphology. To address these issues, this study proposes an intelligent classification method for cassava diseases based on drone imagery and an ED-Swin Transformer. Firstly, we introduced the EMAGE (Efficient Multi-Scale Attention with Grouping and Expansion) module, which integrates the global distribution features and local texture details of diseased leaves in drone imagery through a multi-scale grouped attention mechanism, effectively mitigating the interference of complex background noise on feature extraction. Secondly, the DASPP (Deformable Atrous Spatial Pyramid Pooling) module was designed to use deformable atrous convolution to adaptively match the irregular boundaries of diseased areas, enhancing the model's robustness to morphological variations caused by angles and occlusions in low-altitude drone photography. The results show that the ED-Swin Transformer model achieved excellent performance across five evaluation metrics, with scores of 94.32%, 94.56%, 98.56%, 89.22%, and 96.52%, representing improvements of 1.28%, 2.32%, 0.38%, 3.12%, and 1.4%, respectively. These experiments demonstrate the superior performance of the ED-Swin Transformer model in cassava classification networks.","url":"https://pubmed.ncbi.nlm.nih.gov/40285122/","authors":["Zhang J","Zhou H","Liu K","Xu Y"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025 Apr 12","doi":"10.3390/s25082432","addedAt":"2026-08-31T06:40:05.994Z","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"pmid:40284082","name":"Precision Estimation of Rice Nitrogen Fertilizer Topdressing According to the Nitrogen Nutrition Index Using UAV Multi-Spectral Remote Sensing: A Case Study in Southwest China.","source":"pubmed","abstract":"The precision estimation of N fertilizer application according to the nitrogen nutrition index (NNI) using unmanned aerial vehicle (UAV) multi-spectral measurements remains to be tested in different rice cultivars and planting areas. Therefore, two field experiments were conducted using varied N rates (0, 60, 120, 160, and 200 kg N ha -1 ) on two rice cultivars, Yunjing37 (YJ-37, Oryza sativa subsp. Japonica Kato. , the Institute of Food Crops at the Yunnan Academy of Agricultural Sciences, Kunming, China) and Jiyou6135 (JY-6135, Oryza sativa subsp. indica Kato. , Hunan Longping Gaoke Nongping seed industry Co., Ltd., Changsha, China), in southwest China. The rice canopy spectral images were measured by the UAV's multi-spectral remote sensing at three growing stages. The NNI was calculated based on the critical N (Nc) dilution curve. A random forest model integrating multi-vegetation indices established the NNI inversion, facilitating precise N topdressing through a linear platform of NNI-Relative Yield and the remote sensing NNI-based N balance approaches. The Nc dilution curve calibrated with aboveground dry matter demonstrated the highest accuracy (R 2 = 0.93, 0.97 for shoot components in cultivars YJ-37 and JY-6135), outperforming stem (R 2 = 0.70, 0.76) and leaf (R 2 = 0.80, 0.89) based models. The RF combined with six vegetation index combinations was found to be the best predictor of NNI at each growing period (YJ-37: R 2 is 0.70-0.97, RMSE is 0.02~0.04; JY-6135: R 2 is 0.71-0.92, RMSE is 0.04~0.05). The RF surpassed BPNN/PLSR by 6.14-10.10% in R 2 and 13.71-33.65% in error reduction across the critical rice growth stages. The topdressing amounts of YJ-37 and JY-6135 were 111-124 kg ha -1 and 80-133 kg ha -1 , with low errors of 2.50~8.73 kg ha -1 for YJ-37 and 2.52~5.53 kg ha -1 for JY-6135 in the jointing (JT) and heading (HD) stages. These results are promising for the precise topdressing of rice using a remote sensing NNI-based N balance method. The combination of UAV multi-spectral imaging with the NNI-nitrogen balance method was tested for the first time in southwest China, demonstrating its feasibility and offering a regional approach for precise rice topdressing.","url":"https://pubmed.ncbi.nlm.nih.gov/40284082/","authors":["Wang L","Ling Q","Liu Z","Dai M","Zhou Y","Shi X","Wang J"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025 Apr 11","doi":"10.3390/plants14081195","addedAt":"2026-08-31T06:40:05.994Z","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"pmid:40277652","name":"Numerical Simulation of a Bird-Inspired UAV Which Turns Without a Tail Through Proverse Yaw.","source":"pubmed","abstract":"This study numerically explores a bird-inspired tail-less unmanned aerial vehicle (UAV) design which can turn through proverse yaw by using a bell-shaped spanload wing configuration. The research methodology consists of two phases. In the first phase, the objective is to use computational fluid dynamics (CFD) simulations to validate that the bell-shaped spanload wing configuration produces proverse yaw, instead of adverse yaw, similar to other typical wing configurations. This allows the UAV to turn without a tail. The solver used is OpenFOAM and a special self-written routine is used to allow the grid to move together with the UAV, which has six degrees-of-freedom (6DOFs) to translate and rotate when its ailerons deflect after reaching steady motion. In the second phase, we investigate the effect of the sweep angle on the proverse yaw. Results show that proverse yaw is indeed produced due to the bell-shaped spanload wing configuration, as CFD simulation shows the UAV turning after aileron deflection. The effect of the sweep angle is more profound on the proverse yaw as simulations show that increasing the sweep angle by 10&#xb0; increases the turning effect slightly, but decreasing it by 10&#xb0; instead results in adverse yaw. These findings will have important implications for improving aircraft efficiencies and the development of wing designs.","url":"https://pubmed.ncbi.nlm.nih.gov/40277652/","authors":["Tay WB","Chong TSJ","Chan JQ","Chan WL","Khoo BC"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025 Apr 21","doi":"10.3390/biomimetics10040253","addedAt":"2026-08-31T06:40:05.994Z","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"pmid:40268989","name":"Multi-strategy improved gazelle optimization algorithm for numerical optimization and UAV path planning.","source":"pubmed","abstract":"The Gazelle Optimization Algorithm (GOA) is a recently proposed and widely recognized metaheuristic algorithm. However, it suffers from slow convergence, low precision, and a tendency to fall into local optima when addressing practical problems. To address these limitations, we propose a Multi-Strategy Improved Gazelle Optimization Algorithm (MIGOA). Key enhancements include population initialization based on an optimal point set, a tangent flight search strategy, an adaptive step size factor, and novel exploration strategies. These improvements collectively enhance GOA's exploration capability, convergence speed, and precision, effectively preventing it from becoming trapped in local optima. We evaluated MIGOA using the CEC2017 and CEC2020 benchmark test sets, comparing it with GOA and eight other algorithms. The results, validated by the Wilcoxon rank-sum test and the Friedman mean rank test, demonstrate that MIGOA achieves average rankings of 1.80, 2.03, 2.03, and 2.70 on CEC2017 (Dim&#x2009;=&#x2009;30/50/100) and CEC2020 (Dim&#x2009;=&#x2009;20), respectively, outperforming the standard GOA and other high-performance optimizers. Furthermore, the application of MIGOA to three-dimensional unmanned aerial vehicle (UAV) path planning problems and 2 engineering optimization design problems further validates its potential in solving constrained optimization problems. Experimental results consistently indicate that MIGOA exhibits strong scalability and practical applicability.","url":"https://pubmed.ncbi.nlm.nih.gov/40268989/","authors":["Li L","Zhao H","Lyu L","Yang F"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025 Apr 23","doi":"10.1038/s41598-025-98112-x","addedAt":"2026-08-31T06:40:05.994Z","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"pmid:40263367","name":"Mapping Temperate Savanna in Northeastern China Through Integrating UAV and Satellite Imagery.","source":"pubmed","abstract":"Temperate savannas are globally distributed ecosystems that play a crucial role in regulating the global carbon cycle and significantly contribute to human livelihoods. This study aims to develop a novel method for identifying temperate savannas and to map their distribution in Northeastern China. To achieve this objective, Unmanned Aerial Vehicle (UAV) imagery was integrated with Sentinel-2 and Sentinel-1 satellite imagery using Random Forest &#xa0;(RF)&#xa0;regression and Classification and Regression Tree (CART) algorithms. The training and validation datasets were derived from UAV imagery covering a ground area of 5&#x2009;&#xd7;&#x2009;10 7 m 2 . The proposed method achieved an overall accuracy of 0.82 in identifying temperate savanna in Northeastern China, covering a total area of 1.7&#x2009;&#xd7;&#x2009;10 11 m 2 . The resulting map significantly improves understanding of the spatial distribution and extent of temperate savannas. The developed methodology establishes a framework for assessing regional and global savanna distributions in future studies.","url":"https://pubmed.ncbi.nlm.nih.gov/40263367/","authors":["Li X","Duan T","Yang K","Yang B","Wang C","Tian X","Lu Q","Wang F"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025 Apr 22","doi":"10.1038/s41597-025-05012-w","addedAt":"2026-08-31T06:40:05.994Z","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"pmid:40255186","name":"Passive Ice Protection Systems for Unmanned Aerial Vehicles Applications: A Review.","source":"pubmed","abstract":"Unmanned aerial vehicles (UAVs) are promising platforms for operations in alpine regions due to their compact size, advanced camera systems, and ability to take off and land in confined areas. In such conditions, one of the most significant challenges for UAVs is operating in icing environments, as ice accretion can compromise the aerodynamics of the propellers and can potentially lead fto a loss of control and vehicle failure. To date, active de-icing solutions, such as electrothermal systems, have been employed in the aeronautical sector; however, these systems are energy-intensive. This review addresses passive ice protection systems from a material science prospective, by focusing on coatings which mitigate ice formation without energy consumption. A comprehensive description of the strategies to design an icephobic surface is presented and the state-of-the-art icephobic coatings are analyzed, such as superhydrophobic surfaces, elastomers, liquid infused surfaces, gels, polyelectrolytes, sol gel coatings, metal-organic frameworks. A key focus is devoted to the characterizations for assessing ice mitigation of such coatings, i.e., contact angle and hysteresis measurements, and to the correlation between durability and number of icing and de-icing cycles. The most relevant solutions for aerial vehicles are described in the final part of this review.","url":"https://pubmed.ncbi.nlm.nih.gov/40255186/","authors":["Facco L","Parin R","Basso M","Martucci A","Colusso E"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025 May","doi":"10.1002/smll.202412465","addedAt":"2026-08-31T06:40:05.994Z","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"pmid:40247610","name":"Remote sensing for precision weed management.","source":"pubmed","abstract":"Herbicides are important for controlling and avoiding the impact of weeds in reducing crop productivity. Traditionally, herbicides are applied uniformly over crop fields. With the advancement of precision agriculture, it is now possible to apply herbicides site-specifically with precision operations over the crop fields. Precision application of herbicides is crucial to ensure efficient crop productivity. To control and even remove weed interference in crop fields, traditionally, the weeds in crop fields were visually identified and removed manually or killed by chemicals. However, in commercial crop production, accurate applications of herbicides to the target weeds in the crop fields has been a challenge either from the sprayers on aircraft (manned/unmanned) or ground-based systems. In order to implement precision application of herbicides over crop fields, remote sensing can be effective in identifying the weed targets and assessing the effect of the applied herbicide and its drift. Satellite remote sensing was developed for weed mapping in the 1990s. At the beginning of the 21 st century, airborne remote sensing was identified as a promising technique to offer a solution for rapidly identifying and mapping weeds in crop fields for precision weed management. In the early 2010s, unmanned aerial vehicles (UAVs) were developed and used for weed management. Since then, there has been growing interest in using UAVs as a remote sensing platform for precision weed management in crop field. The applications include weed mapping over crop fields, generating prescriptions for precision herbicide application, assessment of crop injury from aerially applied off-target glyphosate, identification and differentiation of glyphosate-resistant weeds from glyphosate-susceptible weeds, and assessment of crop injury from field-applied dicamba. With the current advancements made in developing site-specific digital agricultural technology, it is possible to target weeds of interest for precision spot-spraying application. However, large-scale datasets play a vital role in developing computer vision-based system that can accurately target weeds in any environment. The current challenge that the agriculture industry faces is not a lack of expert engineers or scientists to develop site-specific technology, but rather, adaptability. For instance, a drone-based spot-spraying approach developed in the state of California should be able to generalize and adapt to the environment in Michigan or other states. Only then can experts from multiple fields scale up sustainable technology, rather than develop it just for one state or location. Therefore, this study will help readers gain in-depth understanding of the approaches needed to develop a robust precision application technology for site-specific weed management. &#xa9; 2025 Society of Chemical Industry.","url":"https://pubmed.ncbi.nlm.nih.gov/40247610/","authors":["Huang Y","Sun X","Rai N","Yao H","Reddy KN","Jenkins J"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025 Aug","doi":"10.1002/ps.8833","addedAt":"2026-08-31T06:40:05.994Z","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"pmid:40231148","name":"GrapeSLAM: UAV-based monocular visual dataset for SLAM, SfM and 3D reconstruction with trajectories under challenging illumination conditions.","source":"pubmed","abstract":"SLAM (Simultaneous Localization and Mapping) is an efficient method for robot to percept surrendings and make decisions, especially for robots in agricultural scenarios. Perception and path planning in an automatic way is crucial for precision agriculture. However, there are limited public datasets to implement and develop robotic algorithms for agricultural environments. Therefore, we collected dataset \"GrapeSLAM\". The ``GrapeSLAM'' dataset comprises video data collected from vineyards to support agricultural robotics research. Data collection involved two primary methods: (1) unmanned aerial vehicle (UAV) for capturing videos under different illumination conditions, and (2) trajectories of the UAV during each flight collected by RTK and IMU. The UAV used was Phantom 4 RTK, equipped with a high resolution camera, flying at around 1 to 3 meters above ground level.","url":"https://pubmed.ncbi.nlm.nih.gov/40231148/","authors":["Wang K","Vélez S","Kooistra L","Wang W","Valente J"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025 Jun","doi":"10.1016/j.dib.2025.111495","addedAt":"2026-08-31T06:40:05.994Z","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"pmid:40218847","name":"DBO-AWOA: An Adaptive Whale Optimization Algorithm for Global Optimization and UAV 3D Path Planning.","source":"pubmed","abstract":"The rapid expansion of unmanned aerial vehicle (UAV) applications in complex environments presents significant challenges in 3D path planning, particularly in overcoming the limitations of traditional methods for dynamic obstacle avoidance and computational efficiency. To address these challenges, this study introduces an adaptive whale optimization algorithm (DBO-AWOA), which incorporates chaotic mapping, nonlinear convergence factors, adaptive inertia mechanisms, and dung beetle optimizer-inspired reproductive behaviors. Specifically, the algorithm utilizes ICMIC chaotic mapping to enhance initial population diversity, a cosine-based nonlinear convergence factor to balance exploration and exploitation, and a hybrid strategy inspired by the dung beetle optimizer to mitigate stagnation in local optima. When evaluated on the CEC2017 benchmark suite, DBO-AWOA demonstrates superior convergence precision and robustness, achieving the lowest minimum and average values across 72% of test functions. In 3D path-planning simulations within mountainous environments, DBO-AWOA generates smoother, shorter, and safer trajectories compared to existing variants, with fitness values reduced by 5-25%. Although the algorithm demonstrates slight instability in highly dynamic hybrid functions, its overall performance marks an improvement in global optimization and UAV path planning.","url":"https://pubmed.ncbi.nlm.nih.gov/40218847/","authors":["Xu T","Chen C"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025 Apr 7","doi":"10.3390/s25072336","addedAt":"2026-08-31T06:40:05.994Z","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"pmid:40218630","name":"An Enhanced, Real-Time, Low-Cost GNSS/INS Integrated Navigation Algorithm and Its Platform Design.","source":"pubmed","abstract":"The integration of the global navigation satellite system (GNSS) and the inertial navigation system (INS) is a well-established method for achieving accurate positioning, especially in applications involving unmanned aerial vehicles (UAVs). UAVs are increasingly used across various fields, yet they face challenges such as the need for real-time processing and the impact of low-quality measurements from cost-effective devices. To address these challenges, we propose a velocity-constrained, enhanced, real-time, low-cost, GNSS/INS integrated navigation algorithm and design an algorithmic platform based on the open-source software KF_GINS. The algorithm supports loosely coupled integration of GNSS position data and raw inertial measurement unit (IMU) data, utilizing a 4G data transmission unit (DTU) for real-time data transmission and performing loosely coupled computations on the received data. Subsequently, we successfully applied this algorithm to low-cost integrated navigation devices, such as UAVs. We tested the algorithm platform using one set of vehicle-mounted data and six UAV datasets. Experimental results indicate that the algorithm platform effectively performs computations under various conditions, improving single-point positioning (SPP) accuracy by up to 15.38% horizontally and 6.78% vertically. These findings demonstrate the algorithm platform's capability to significantly enhance the accuracy and stability of integrated navigation positioning for UAVs.","url":"https://pubmed.ncbi.nlm.nih.gov/40218630/","authors":["Wang P","Gao Y","Zhao Q","Wang Y","Zhou F","Zhang D"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025 Mar 27","doi":"10.3390/s25072119","addedAt":"2026-08-31T06:40:05.994Z","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"pmid:40218493","name":"Modeling Debris Flow Events in the Rio Inferno Watershed (Italy) Through UAV-Based Geomorphological Survey and Rainfall Data Analysis.","source":"pubmed","abstract":"This paper presents an analysis of the debris flow phenomena in the Rio Inferno watershed (Municipality of Cesana Torinese, Western Alps, Italy). The annual frequency and magnitude of these events have caused significant damage to the viability of the historic Chaberton Military Road, which is now closed to transit. This study delved into the processes governing debris flows in the Rio Inferno watershed through detailed geomorphological analysis, an unmanned aerial vehicle (UAV) photogrammetric survey, and the elaboration of rainfall data from the nearby weather monitoring stations. The Hydrologic Engineering Center's River Analysis System (HEC-RAS) code was used to simulate debris flow events considering critical precipitations associated with return periods of 20, 50, 100, and 200 years, based on the highly detailed topographical model obtained by means of photogrammetry. The paper highlights the importance of studying debris flow phenomena to implement effective risk mitigation and management strategies, especially in the context of climate change and the increased vulnerability of mountain territories.","url":"https://pubmed.ncbi.nlm.nih.gov/40218493/","authors":["Turbessi L","Taboni B","Umili G","Fubelli G","Ferrero AM"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025 Mar 22","doi":"10.3390/s25071980","addedAt":"2026-08-31T06:40:05.994Z","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"pmid:40215241","name":"A multi-target tracking method for UAV monitoring wildlife in Qinghai.","source":"pubmed","abstract":"The Procapra przewalskii, plays a vital role in sustaining the ecological balance within its habitat, yet it faces significant threats from environmental degradation and illegal poaching activities. In response to this urgent conservation need, this article proposes a multi-object tracking (MOT) method for unmanned aerial vehicle (UAV). Initially, the approach utilizes a modified YOLOv7 network, which incorporates Group-Selective Convolution (GSConv) in its Neck component, effectively enhancing the network's ability to preserve detailed information while simultaneously reducing the computational load. Subsequently, the Content-Aware ReAssembly of Features (CARAFE), an innovative feature upscaling method, replaces the conventional nearest neighbor interpolation to minimize the loss of critical feature data during image processing. In the tracking phase, the Deep SORT algorithm is expanded with a proprietary UAV camera motion compensation (CMC) module that eliminates the impact of UAV camera jitters. Moreover, the system has incorporated a confidence optimization strategy (COS) that enhances the tracking performance especially when the individuals are partially or fully obscured. The method has been tested on Procapra przewalskii and shown to be effective. The results show the gains in tracking metrics where the method achieved improvements of 7.0% in MOTA, 3.7% in MOTP, and 5.8% in IDF1 score compared to the traditional Deep SORT model. Improved tracking methods can alleviate the impact of occlusion and rapid movement of UAV on tracking, thereby more accurately monitoring the status of each Procapra przewalskii and protecting it. Also, the efficiency in the multi-target tracking achieved through the use of this system is sufficient for the operational demands of UAV-based wildlife monitoring, thus being a reliable tool in wildlife conservation where accurate and efficient wildlife tracking is desired.","url":"https://pubmed.ncbi.nlm.nih.gov/40215241/","authors":["Zhang G","Luo W","Shao Q","Li G","Zhu X","Zhao Y","Wang D","Liu J"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.1371/journal.pone.0317286","addedAt":"2026-08-31T06:40:05.994Z","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"pmid:40199905","name":"Design, Dynamics and Development of Upgraded Tiltable Wing associated Quadcopter through Advanced computational simulations incorporated Bottom-Up Approach.","source":"pubmed","abstract":"This paper aims to design a hybrid quadcopter that can be used for multiple detecting applications in which its performance parameters are studied under various maneuverings such as forward and vertical movements based on computational studies. In order to enhance the endurance, the conventional rectangular cross-sectional arm was replaced by airfoil cross sectional arm which helps in reduction of overall drag. The proposed idea is a combination of both tilt wing and tilt rotor configurations to the hybrid unmanned aerial vehicle (HUAV). The CAD modeling of UAV components such as wing and propeller is done using Autodesk Fusion 360 and the fluid flow analysis is carried out using ANSYS Workbench 23 software. Different test cases including the Computational fluid dynamics (CFD), Fluid structure interaction (FSI) analysis are executed to estimate the performance of the configuration. Analyzing from a stability point of view, a mathematical model was designed for control of altitude increment, hold and forward velocity accordingly, and tuning of the controller was taken over. This UAV is capable of attaining stability during harsh environments which is analyzed using control dynamics study and controller design processes executed. As a preliminary work for validation, grid convergence study is performed to obtain reliable outcome for the computational study taken over, in addition to the execution of analytical validation for estimation of aerodynamic forces and deflection of wing due to impingement of drag force over frontal area of wing and experimental validations to determine the thrust produced by propeller. The steady fluid flow analysis is carried over for wing planform and transient flow analysis is done for both vertical and forward propellers using advanced CFD techniques. Based on the FSI approach, structural analysis was carried over for wing and propeller through which the material selection was done. From which, GY-70-CFRP composite was concluded as the best performing material by analyzing the performance parameters including total deformation etc., among various different imposed materials based on aerodynamical loading. Interpreting from the performed analyses, the proposed configuration seems to operate at less power considering the lift forces induced, which also enables it to reach better altitudes at less RPM. The structural efficiency happens to be achieved due to the reduction in the RPM as there is a contribution in lift production as the angle of attack of the proposed wing increases, which also decreases rotors' burden during forward motion and other maneuverings.","url":"https://pubmed.ncbi.nlm.nih.gov/40199905/","authors":["Saravana Mohan H","Murugaraj K","Solaiappan SK","Stanislaus Arputharaj B","Rajendran P","Lee IE","Jayakumar SS","Veeraperumal Senthil Nathan JP","Karuppasamy A","Raja V"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025 Apr 8","doi":"10.1038/s41598-025-96036-0","addedAt":"2026-08-31T06:40:05.994Z","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"pmid:40195362","name":"UAV-aided maritime communication over the Pacific Ocean using the elevated duct toward future wireless networks.","source":"pubmed","abstract":"To bolster long-range maritime communication, unmanned aerial vehicle (UAV)-aid communications have garnered increased attention as traditional maritime communication solutions face challenges from geographical and meteorological factors. This work first introduces a UAV-aided wireless communication system based on elevated ducts, offering solutions for flexible accessibility, wide-area coverage, and extensive spectrum resources for maritime applications. Influenced by the tropical trade winds generated by semi-permanent atmospheric pressure systems, elevated ducts frequently occur over the northern Pacific Ocean, with a probability of occurrence as high as 94.07%. The study found: (1) the feasibility of realizing over-horizontal, GHz-bandwidth microwave transmission links within the elevated duct; (2) The path loss budget of 189 dB is marked with black isoline, implying that the receiver of the UAV-aided communication system in the ducting layer can receive and demodulate microwave signals with 1&#xa0;GHz-bandwidth; (3) QPSK stands out for its relative compromise in bandwidth efficiency and hardware implementation difficulty for signals of six digital modulations. Compared to ground-to-air communication networks utilizing elevated ducts, UAV wireless communication systems can provide efficient support for maritime communications with minimal path loss and serve as a crucial component in 6G networks. The study represents a significant advancement in establishing a high-capacity data links platform capable of delivering high-speed, large-capacity, long-range wireless communications over the ocean without the need for relaying.","url":"https://pubmed.ncbi.nlm.nih.gov/40195362/","authors":["Wang J","Liu W","Yang C"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025 Apr 7","doi":"10.1038/s41598-025-90065-5","addedAt":"2026-08-31T06:40:05.994Z","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"pmid:40179558","name":"Air-water CO(2) exchange in transformed saltmarshes for different uses and under various management models.","source":"pubmed","abstract":"The rise of atmospheric carbon dioxide (CO 2 ) caused by anthropogenic activities is accelerating global warming. Assessing the capacity of natural ecosystems to act as sources or sinks for atmospheric CO 2 is fundamental to elaborate CO 2 global budgets and to establish climate change mitigation strategies. This work analyses the air-water exchange of CO 2 in saltmarshes of the Bay of Cadiz (SW Spain), which have been transformed for different uses and commercial practises and are managed distinctly. Specifically, the study examines four kind of saltmarsh systems (an artisanal saltpan, two industrial saltpans, and two aquaculture farms), with different management strategies based on their exploitation. These systems were sampled during five seasonal field campaigns conducted between 2020 and 2021. Untransformed tidal inundated marshes were also considered as control points for comparative purposes. The study sought to quantify the biogeochemical parameters that influence CO 2 exchange, such as water temperature, total alkalinity, pH, salinity, chlorophyll-a, dissolved organic carbon, dissolved oxygen and inorganic nutrients, were performed. In addition, unmanned aerial vehicle (UAV) flights and satellite imagery were used to determine the surface area of the transformed marshes and estimate the contribution of each system to the net CO 2 fluxes between the aquatic ecosystems and the atmosphere. The study's objectives were to evaluate the seasonal variations in CO 2 fluxes, assess the role of different saltmarsh systems as sources or sinks of CO 2 , and determine the impact of management practices on carbon exchange. According to the results, aquaculture farms and water storage ponds in saltpans for salt extraction, acted as sources of CO 2 to the atmosphere during spring and summer months, switching to mild CO 2 sinks during winter and colder fall periods. In contrast, extremely hypersaline ponds for brine production and the subsequent salt extraction in both artisanal and industrial installations acted predominantly as atmospheric CO 2 sinks. Notably, extensive industrial saltpans contribute markedly to atmospheric CO 2 withdrawal, with an average annual CO 2 influx of -437.97 tCO 2 &#xb7;yr -1 . Hence, this finding underscores the critical role of these practices, which are widespread in the region, in providing important ecosystem services related to climate regulation.","url":"https://pubmed.ncbi.nlm.nih.gov/40179558/","authors":["Amaya-Vías S","Flecha S","Román A","Haro S","Oviedo JL","Navarro G","Arroyo GM","Huertas IE"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025 Apr","doi":"10.1016/j.jenvman.2025.125188","addedAt":"2026-08-31T06:40:05.994Z","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"pmid:40175613","name":"Unmanned aerial vehicles in fisheries and aquaculture: a comprehensive overview.","source":"pubmed","abstract":"The fishery and aquaculture sectors are essential to the global food supply but face multiple challenges, including security, fish welfare, and feeding management. Unmanned aerial vehicles (UAVs) have emerged as a groundbreaking technology in these fields, providing innovative solutions for monitoring, management, and conservation. In addition to addressing these challenges, UAVs enhance operational efficiency and contribute to sustainable practices in fisheries and aquaculture. This review paper presents a comprehensive analysis of the current state of UAV applications in these sectors, with a particular focus on year wise publications and citation trends. The classification of UAV types is also examined, highlighting their varied uses ranging from fish stock assessment to habitat monitoring. The paper further explores the utility of UAVs in enhancing fish production processes and their potential role in conservation strategies. Looking forward, the review outlines future prospects, emphasising the pivotal role of UAVs in advancing fish production techniques and fostering sustainable aquaculture practices, as well as their contribution to effective conservation management in aquatic ecosystems. This paper aims to provide a critical overview of the existing research while offering insights into how UAV technology can be leveraged for long-term advancements in both the production and conservation of aquatic resources.","url":"https://pubmed.ncbi.nlm.nih.gov/40175613/","authors":["Ganie PA","Khatei A","Posti R","Sidiq MJ","Pandey PK"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025 Apr 2","doi":"10.1007/s10661-025-13920-y","addedAt":"2026-08-31T06:40:05.994Z","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"pmid:40175443","name":"Experiment study on UAV target detection algorithm based on YOLOv8n-ACW.","source":"pubmed","abstract":"To address the challenges associated with dense and occluded targets in small target detection utilizing unmanned aerial vehicle (UAV), we propose an enhanced detection algorithm referred as the YOLOv8n-ACW. Building upon the YOLOv8n baseline network model, we have integrated Adown into the Backbone and developed a CCDHead to further improve the drone's capability to recognize small targets. Additionally, WIoU-V3 has been introduced as the loss function. Experiment results derived from the Visdrone2019 dataset indicate that, the YOLOv8n- ACW has achieved a 4.2% increase in mAP50(%) compared to the baseline model, while simultaneously reducing the parameter count by 36.7%, exhibiting superior capabilities in detecting small targets. Furthermore, utilizing a self-constructed dataset of G5-Pro drones for target detection experiments, the results indicate that the enhanced model has robust generalization capabilities in real-world environments. The UAV target detection experiment combines experimental simulation with real-world testing, while combining scientific exploration with educational objectives. This experiment has high fidelity, excellent functional scalability, and strong practicality, aiming to cultivate students' comprehensive practical and innovative abilities.","url":"https://pubmed.ncbi.nlm.nih.gov/40175443/","authors":["Xue B","Zhang B","Cheng Q"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025 Apr 2","doi":"10.1038/s41598-025-91394-1","addedAt":"2026-08-31T06:40:05.994Z","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"pmid:40172334","name":"Analysis of Deep Learning Techniques for Vehicle Detection and Reidentification Using Data from Multiple Drones and Public Datasets.","source":"pubmed","abstract":"The detection and re-identification of vehicles in dynamic environments, such as highways monitored by a swarm of drones, presents significant challenges, particularly due to the variability of images captured from different angles and under various conditions. This scenario necessitates the development of suitable methods that integrate appropriate computational techniques, such as convolutional neural networks (CNN) to address the diversity of drone captures and improve accuracy in detection and re-identification. In this paper, a solution for vehicle detection and Re-ID is proposed, combining CNN techniques VGG16, VGG19, ResNet50, InceptionV3 and EfficientNetV2L. YOLOv4 was selected for detection, while the DeepSORT algorithm was chosen for tracking. The proposed solution considers the generalization capabilities of these techniques with varied images from different drones in different positions. Two datasets were employed: the first is a public dataset from Mendeley used for method evaluation, while the second consists of images and data collected by a swarm of drones. In the first experiment, the best performing network was ResNet50, with an average accuracy of 55%. In the second experiment, the highest accuracy CNN was VGG19, with 91% accuracy. Overall, the techniques were able to distinguish vehicles of different models and adapted to the data captured by drones.","url":"https://pubmed.ncbi.nlm.nih.gov/40172334/","authors":["Euphrásio FPA","Andrade RM","Shiguemori EH","Silva LL","Freitas MJS","Xavier NAZ","Sobrinho ASS"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.1590/0001-3765202520240623","addedAt":"2026-08-31T06:40:05.994Z","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"pmid:40171479","name":"Bridging technology and ecology: enhancing applicability of deep learning and UAV-based flower recognition.","source":"pubmed","abstract":"The decline of insect biomass, including pollinators, represents a significant ecological challenge, impacting both biodiversity and ecosystems. Effective monitoring of pollinator habitats, especially floral resources, is essential for addressing this issue. This study connects drone and deep learning technologies to their practical application in ecological research. It focuses on simplifying the application of these technologies. Updating an object detection toolbox to TensorFlow (TF) 2 enhanced performance and ensured compatibility with newer software packages, facilitating access to multiple object recognition models - Faster Region-based Convolutional Neural Network (Faster R-CNN), Single-Shot-Detector (SSD), and EfficientDet. The three object detection models were tested on two datasets of UAV images of flower-rich grasslands, to evaluate their application potential in practice. A practical guide for biologists to apply flower recognition to Unmanned Aerial Vehicle (UAV) imagery is also provided. The results showed that Faster RCNN had the best overall performance with a precision of 89.9% and a recall of 89%, followed by EfficientDet, which excelled in recall but at a lower precision. Notably, EfficientDet demonstrated the lowest model complexity, making it a suitable choice for applications requiring a balance between efficiency and detection performance. Challenges remain, such as detecting flowers in dense vegetation and accounting for environmental variability.","url":"https://pubmed.ncbi.nlm.nih.gov/40171479/","authors":["Schnalke M","Funk J","Wagner A"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.3389/fpls.2025.1498913","addedAt":"2026-08-31T06:40:05.994Z","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"pmid:40169861","name":"Multiview stereo reconstruction of UAV remote sensing images based on adaptive propagation with multiregional refinement.","source":"pubmed","abstract":"Based on computer vision and image processing technologies, 3D reconstruction of ground or building targets can be achieved from drone images. However, current algorithms still have significant room for improvement in dense reconstruction of weak-textured areas. In order to enhance the reconstruction effect in weak texture regions, this paper proposes a multi-view stereo method for unmanned aerial vehicle (UAV) remote sensing images based on adaptive propagation and multi-region refinement, called APMRR-MVS. Firstly, in the propagation step, we propose an adaptive propagation strategy based on a checkerboard grid, which expands the distal sampling region by continuously selecting pixels with better hypotheses, that can explore the distal end more flexibly and improve the quality of sampling hypotheses for the pixels within the same view. Secondly, in the refinement step, we propose a multi-region refinement strategy, which can improve the efficiency of exploring the solution space by arranging several regions independently and reduce the possibility of the target pixel hypothesis being trapped in a local optimum. Experiments on relevant datasets show that our method has better performance in reconstructing weakly textured regions, in addition to preserving specific texture details to a greater extent and reducing the misestimation of spatial points.","url":"https://pubmed.ncbi.nlm.nih.gov/40169861/","authors":["Fu H","Nie Z","Pan X"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025 Apr 1","doi":"10.1038/s41598-025-95375-2","addedAt":"2026-08-31T06:40:05.994Z","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"pmid:40148445","name":"Analysis and identification of the temperature field of dam leakage based on infrared thermal imaging.","source":"pubmed","abstract":"Leakage is the most common issue encountered in earth-rock dam projects, with characteristics of strong concealment in the initial stage and rapid development and significant threat in the later stage. For a rapid and accurate detection of leakage in earth-rock dams, this paper introduces an infrared thermal imaging technology by fully considering the correlation between dam leakage and temperature. The principle behind the application of this technology for the noncontact detection of water leakage in earth-rock dams was expounded. Based on the theory of flow-heat coupling and combined with a numerical simulation test on the leakage detection of earth-rock dams under the effects of varying water heads and water-air temperature differences, the feasibility of the infrared thermal image technology in detecting leakages in these dams was verified, and the infrared image characteristics of leakage outlets in the dam and their influencing rules were thoroughly analyzed. The results showed that the leakage in the earth-rock dam led to low-temperature anomalies in the leakage outlet area. With the increase in the water air temperature difference and water head, these low-temperature anomalies became increasingly evident. The temperature and water head of the leakage outlet showed a decreasing trend that could be characterized by a quadratic polynomial. The infrared images captured by the UAV could vividly and intuitively present the temperature anomalies caused by leakage, manifesting as a temperature stratification phenomenon with low values inside and high values outside. The temperature measurement accuracy of an infrared thermal imager is positively correlated with reflectivity in a linear manner, whereas it is negatively correlated with the detection distance. Additionally, with an increase in the angle between the focal plane of the infrared thermal imager and the normal direction of the soil dam surface, the temperature measurement accuracy decreases. The development of an unmanned aerial vehicle utilizing the proposed technology for leakage detection in earth-rock dams, along with the identification of abnormal temperature fields indicative of leakage on the dam surface, holds significant importance. This technology contributes to the rapid and accurate detection of leakage hazards, ensuring the safety of earth-rock dam engineering projects.","url":"https://pubmed.ncbi.nlm.nih.gov/40148445/","authors":["Li P","Tang L","Zhang S","Luan P","Tian H"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025 Mar 27","doi":"10.1038/s41598-025-95117-4","addedAt":"2026-08-31T06:40:05.994Z","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"pmid:40146764","name":"Impact analysis assessment of UAS collision with a human body.","source":"pubmed","abstract":"This study investigates the safety risks of Unmanned Aerial System (UAS) collisions with humans, focusing on impact dynamics through controlled crash testing. Utilizing a custom-designed drop mechanism, 49 impact tests were conducted on a Hybrid III anthropomorphic test device at various velocities and kinetic energies (7-24 m/s and 1-280 J). Tested UASs included a range of designs and weights (20&#x2009;g to over 1&#x2009;kg). Results demonstrated limitations in using kinetic energy models and peak head acceleration for injury prediction. The Head Injury Criterion showed greater consistency, reflecting the temporal profile of impacts. Findings revealed that UAS structural fragility reduces energy transfer at higher impacts through deformation and fracturing. This work underscores the need for improved testing protocols and nuanced safety standards.","url":"https://pubmed.ncbi.nlm.nih.gov/40146764/","authors":["Svatý Z","Vrtal P","Mičunek T","Kohout T","Nouzovský L","Frydrýn M","Blodek T","Kocián K"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.1371/journal.pone.0320073","addedAt":"2026-08-31T06:40:05.994Z","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"pmid:40138404","name":"Skin-interfaced multimodal sensing and tactile feedback system as enhanced human-machine interface for closed-loop drone control.","source":"pubmed","abstract":"Unmanned aerial vehicles have undergone substantial development and market growth recently. With research focusing on improving control strategies for better user experience, feedback systems, which are vital for operator awareness of surroundings and flight status, remain underdeveloped. Current bulky manipulators also hinder accuracy and usability. Here, we present an enhanced human-machine interface based on skin-integrated multimodal sensing and feedback devices for closed-loop drone control. This system captures hand gestures for intuitive, rapid, and precise control. An integrated tactile actuator array translates the drone's posture into two-dimensional tactile information, enhancing the operator's perception of the flight situation. Integrated obstacle detection and neuromuscular electrical stimulation-based force feedback system enable collision avoidance and flight path correction. This closed-loop system combines intuitive controls and multimodal feedback to reduce training time and cognitive load while improving flight stability, environmental awareness, and the drone's posture. The use of stretchable electronics also addresses wearability and bulkiness issues in traditional systems, advancing human-machine interface design.","url":"https://pubmed.ncbi.nlm.nih.gov/40138404/","authors":["Yiu C","Liu Y","Park W","Li J","Huang X","Yao K","Gao Y","Zhao G","Chu H","Zhou J","Li D","Li H","Zhang B","Chow L","Huang Y","Xu Q","Yu X"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025 Mar 28","doi":"10.1126/sciadv.adt6041","addedAt":"2026-08-31T06:40:05.994Z","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"pmid:40136822","name":"UAV Path Planning: A Dual-Population Cooperative Honey Badger Algorithm for Staged Fusion of Multiple Differential Evolutionary Strategies.","source":"pubmed","abstract":"To address the challenges of low optimization efficiency and premature convergence in existing algorithms for unmanned aerial vehicle (UAV) 3D path planning under complex operational constraints, this study proposes an enhanced honey badger algorithm (LRMHBA). First, a three-dimensional terrain model incorporating threat sources and UAV constraints is constructed to reflect the actual operational environment. Second, LRMHBA improves global search efficiency by optimizing the initial population distribution through the integration of Latin hypercube sampling and an elite population strategy. Subsequently, a stochastic perturbation mechanism is introduced to facilitate the escape from local optima. Furthermore, to adapt to the evolving exploration requirements during the optimization process, LRMHBA employs a differential mutation strategy tailored to populations with different fitness values, utilizing elite individuals from the initialization stage to guide the mutation process. This design forms a two-population cooperative mechanism that enhances the balance between exploration and exploitation, thereby improving convergence accuracy. Experimental evaluations on the CEC2017 benchmark suite demonstrate the superiority of LRMHBA over 11 comparison algorithms. In the UAV 3D path planning task, LRMHBA consistently generated the shortest average path across three obstacle simulation scenarios of varying complexity, achieving the highest rank in the Friedman test.","url":"https://pubmed.ncbi.nlm.nih.gov/40136822/","authors":["Tang X","Jia C","He Z"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025 Mar 10","doi":"10.3390/biomimetics10030168","addedAt":"2026-08-31T06:40:05.994Z","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"pmid:40128852","name":"Lightweight highland barley detection based on improved YOLOv5.","source":"pubmed","abstract":"Accurate and efficient assessment of highland barley (Hordeum vulgare L.) density is crucial for optimizing cultivation and management practices. However, challenges such as overlapping spikes in unmanned aerial vehicle (UAV) images and the computational requirements for high-resolution image analysis hinder real-time detection capabilities. To address these issues, this study proposes an improved lightweight YOLOv5 model for highland barley spike detection. We chose depthwise separable convolution (DSConv) and ghost convolution (GhostConv) for the backbone and neck networks, respectively, to reduce the parameter and computational complexity. In addition, the integration of convolutional block attention module (CBAM) enhances the model's ability to focus on target object in complex backgrounds. The results show that the improved YOLOv5 model has a significant improvement in detection performance. Precision and recall increased by 3.1% to 92.2% and 86.2%, respectively, with an F1 score of 0.892. The AP 0.5 reaches 92.7% and 93.5% for highland barley in the growth and maturation stages, respectively, and the overall mAP 0.5 improved to 93.1%. Compared to the baseline YOLOv5n model, the number of parameters and floating-point operations (FLOPs) were reduced by 70.6% and 75.6%, respectively, enabling lightweight deployment without compromising accuracy. In addition,the proposed model outperformed mainstream object detection algorithms such as Faster R-CNN, Mask R-CNN, RetinaNet, YOLOv7, and YOLOv8, in terms of detection accuracy and computational efficiency. Although this study also suffers from limitations such as insufficient generalization under varying lighting conditions and reliance on rectangular annotations, it provides valuable support and reference for the development of real-time highland barley spike detection systems, which can help to improve agricultural management.","url":"https://pubmed.ncbi.nlm.nih.gov/40128852/","authors":["Cai M","Deng H","Cai J","Guo W","Hu Z","Yu D","Zhang H"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025 Mar 24","doi":"10.1186/s13007-025-01353-0","addedAt":"2026-08-31T06:40:05.994Z","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"pmid:40127059","name":"Chlorophyll inversion in rice based on visible light images of different planting methods.","source":"pubmed","abstract":"As a key substance for crop photosynthesis, chlorophyll content is closely related to crop growth and health. Inversion of chlorophyll content using unmanned aerial vehicle (UAV) visible light images can provide a theoretical basis for crop growth monitoring and health diagnosis. We used rice at the tasseling stage as the research object and obtained UAV visible orthophotos of two experimental fields planted manually (experimental area A) and mechanically (experimental area B), respectively. We constructed 14 vegetation indices and 15 texture features and utilized the correlation coefficient method to analyze them comprehensively. Then, four vegetation indices and four texture features were selected from them as feature variables to be added into three models, namely, K-neighborhood (KNN), decision tree (DT), and AdaBoost, respectively, for inverting chlorophyll content in experimental areas A and B. In the KNN model, the inversion model built with BGRI as the independent variable in region A has the highest accuracy, with R2 of 0.666 and RSME of 0.79; the inversion model built with RGRI as the independent variable in region B has the highest accuracy, with R2 of 0.729 and RSME of 0.626. In the DT model, the inversion model built with B-variance as the independent variable in region A has the highest accuracy, with R2 of 0.840 and RSME of 0.464; the inversion model built with G-mean as the independent variable in region B has the highest accuracy, with R2 of 0.845 and RSME of 0.530. In the AdaBoost model, the inversion model built with R-skewness as the independent variable in region A has the highest accuracy, with R2 of 0.826 and RSME of 0.642; the inversion model established with g as the independent variable in area B had the highest accuracy, with R2 of 0.879 and RSME of 0.599. In the comprehensive analysis, the best inversion models for experimental areas A and B were B-variance-decision tree and g-AdaBoost, respectively, whose models can quickly and accurately carry out the inversion of chlorophyll content of rice, and provide a theoretical basis for the monitoring of the crop's growth and health under different cultivation methods.","url":"https://pubmed.ncbi.nlm.nih.gov/40127059/","authors":["Jing H","Bin W","Jiachen H"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.1371/journal.pone.0319657","addedAt":"2026-08-31T06:40:05.994Z","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"pmid:40122860","name":"Data set for UWB Cooperative Navigation and Positioning of UAV Cluster.","source":"pubmed","abstract":"The cooperative navigation of unmanned aerial vehicle (UAV) cluster has become a popular topic in military and civilian applications. Ultra-wideband (UWB) technology provides a precise and stable practical solution for distance-based cooperative positioning. To develop and evaluate the cooperative navigation system for UAVs, this paper utilizes eight fixed base stations and seven mobile UAVs to collect measurement results under four different flight formations in both indoor and outdoor environments. To eliminate fluctuations in UAV control, predefined flight trajectories were used, and multiple measurements were collected at each trajectory point for technical validation. The resulting data supports the development and validation of distance-based multi-target navigation algorithms, the evaluation of formation maintenance and collision avoidance algorithms for multiple UAVs, and also serves as a source for navigation evaluation and the development of multi-source fusion cluster positioning algorithms.","url":"https://pubmed.ncbi.nlm.nih.gov/40122860/","authors":["Zhang C","Tang C","Wang H","Lian B","Zhang L"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025 Mar 23","doi":"10.1038/s41597-025-04808-0","addedAt":"2026-08-31T06:40:05.994Z","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"pmid:40122826","name":"A statistical method for high-throughput emergence rate calculation for soybean breeding plots based on field phenotypic characteristics.","source":"pubmed","abstract":"In the process of smart breeding, the rapid statistics of soybean emergence rate, as an important part of breeding screening, face challenges under environmental constraints, especially the selection and breeding of soybean varieties in dense environments. Due to the influence of environmental factors, the existing methods have shortcomings, such as low throughput, low efficiency, and insufficient precision. Therefore, an effective and precise statistical method is required. In this study, UAV (Unmanned Aerial Vehicle)-scale data combined with ground measurement data were used as the research object to explore the feasibility of improving the throughput, efficiency, and accuracy of breeding screening under intensive soybean planting. To this end, a set of technical solutions, including background removal, object detection, and accurate counting, were designed. Firstly, a combined background segmentation method based on contrast enhancement filtering combined with ultra-green eigenvalues and the Otsu algorithm was proposed to remove the complex background in remote sensing images and retain the morphological information of soybean seedlings. Secondly, the deep learning object detection model was used to infer and predict the processed images to label soybean seedlings. Then, a soybean seedling counting algorithm was constructed: by establishing a soybean seedling growth model, the idea of \"growth normalization\" was proposed, and the expansion-compression factor was defined to eliminate the influence of soybean seedling growth inconsistency on counting. After statistical and in-depth analysis of the growth and planting characteristics of soybean seedlings under overlapping conditions, the \"inter-seedling occlusion counting algorithm\" was proposed to solve the problem of overlapping counting between seedlings. In order to solve the problem of an overlapping bounding box, a soft strategy is specially designed to avoid the redundant values brought by it. Finally, according to the calculation results, the statistical thematic map of soybean emergence rate based on plot plots was displayed. After experiments, the proposed method can effectively count the number of soybean seedlings in the image, with an overall accuracy of 99.18% and an error rate of 0.82%. In addition, Yolov8n had the best recognition effect in the soybean seedling detection task, with a mAP (0.5-0.95) of 85.15%. The proposed background segmentation method increased the mAP (0.5-0.95) of the detection results by 4.06%. It has been demonstrated through experimental tests and verifications that solid support for the statistical work concerning the soybean emergence rate under the condition of intensive planting is provided by this method. This innovative method has played a facilitating role in accelerating the breeding process and has also provided some new ideas and reference directions for further exploration of efficient screening.","url":"https://pubmed.ncbi.nlm.nih.gov/40122826/","authors":["Sun Y","Li M","Liu M","Zhang J","Cao Y","Ao X"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025 Mar 24","doi":"10.1186/s13007-025-01356-x","addedAt":"2026-08-31T06:40:05.994Z","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"pmid:40120362","name":"Estimating windage coefficient of floating marine green tide of Ulva prolifera using UAV optical images.","source":"pubmed","abstract":"Ulva prolifera green tides have emerged every year since 2007 in the Yellow Sea, China. Accurate prediction of trajectories of green tide is very important for early warning and prevention. Surface current and wind are major drivers for drift of green tides. Windage coefficient of &#x3b1; is often used to represent the role of wind in the drift velocity of Ulva masses. However, due to the lack of measured ambient current, the windage coefficient estimate is still highly uncertain. This study presented a novel method which makes it possible for measuring drift velocity and ambient current simultaneously. Using measured drift velocity of Ulva, ambient surface current and wind, the study found that, drift velocity of Ulva is significantly different from ambient current, and the velocity difference between them is well consistent with wind direction. The study established current-depth dependent windage coefficient &#x3b1; (0.41&#xa0;&#xb1;&#xa0;0.09&#xa0;% at 2.5&#xa0;cm depth and 0.74&#xa0;&#xb1;&#xa0;0.16&#xa0;% at 10&#xa0;cm depth). The estimated &#x3b1; in this study is much smaller than previously derived or used, probably because the depth of measured ambient surface current is very close to depth of floating Ulva. The study found that windage coefficient of Ulva is dependent on the depth of the given surface current; windage coefficient increases with increase of surface current depth, implying the necessity to use very-near-surface current to improve model skill of green tides' trajectory simulation. These findings are helpful in understanding the dynamics of drift of green tides and improving accuracy of green tides modeling.","url":"https://pubmed.ncbi.nlm.nih.gov/40120362/","authors":["Zheng X","Li J","Hou Y","Jiang S","Xing Q"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025 Jun","doi":"10.1016/j.marpolbul.2025.117834","addedAt":"2026-08-31T06:40:05.994Z","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"pmid:40120105","name":"EEG-based prediction of reaction time during sleep deprivation.","source":"pubmed","abstract":"Prolonged wakefulness is known to adversely affect basic cognitive abilities such as object recognition and decision-making. It affects the dynamics of neuronal networks in the brain and can even lead to hallucinations and epileptic seizures. In cognitive-intensive workplaces, there is a requirement to refine an objective method of quantifying the current level of cognitive capabilities, rather than relying on subjective self-reporting. In this study, we compiled electroencephalography (EEG) recordings from several sleep-deprivation workshops held by the Israeli Air Force, done by flight cadets and unmanned aerial vehicle operators. By extracting a wide range of EEG features and applying machine-learning techniques, we were able to accurately predict the reaction time of participants undergoing a simple psychomotor vigilance task, which acted as a stand-in for basic cognitive functions. Furthermore, through the use of interpretability methods, we examined the importance of different EEG features and their contribution to changes in the behavioral metrics.","url":"https://pubmed.ncbi.nlm.nih.gov/40120105/","authors":["Harel A","Levkovsky A","Nakdimon I","Gordon B","Shriki O"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025 Jul 11","doi":"10.1093/sleep/zsaf080","addedAt":"2026-08-31T06:40:05.994Z","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"pmid:40117683","name":"Hyperspectral remote sensing for air pollutants: Stereoscopic monitoring, source localization & warning, and a dynamic emission inventory concept.","source":"pubmed","abstract":"With the continuous improvement of air quality in China, the characteristics of emission sources of pollutants have changed significantly, from their distribution to emitted atmospheric species and the corresponding emission concentrations and source localization has become increasingly challenging. The localization uncertainties of in situ observations are further amplified when combined with model simulations, which seriously restricts the realization of China's strategic goal of \"reducing pollution and carbon.\" In this study, we established a localization and emission warning scheme for emission sources based on various hyperspectral remote sensing techniques with different observation spatial resolutions. These include satellite remote sensing, horizontal remote sensing, Unmanned Aerial Vehicle (UAV) remote sensing, and imaging. Based on this study, we aimed to locate high-concentration emission sources of NO 2 (coal-fired power plants), HCHO (chemical and coking industries), and CH 2 CCH 3 CHO (metallurgical and material synthesis industries) and provide excess emission warnings for these species. Moreover, hyperspectral imaging remote sensing technology provides a possible method to obtain a dynamic emission inventory of pollutants, and the emission concentrations of NO 2 , SO 2 , HCHO, CHOCHO, and CH 2 CCH 3 CHO emitted from the coking industry at different timescales were obtained. The localization and emission warning scheme of pollutants established based on stereoscopic remote sensing, as well as the dynamic emission inventory established based on hyperspectral imaging remote sensing, provides technical and data support for air pollution control efforts.","url":"https://pubmed.ncbi.nlm.nih.gov/40117683/","authors":["Xing C","Peng H","Liu C","Li Q","Tang Z","Tan W","Liu H","Hong Q"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025 Apr","doi":"10.1016/j.envint.2025.109375","addedAt":"2026-08-31T06:40:05.994Z","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"pmid:40115941","name":"Remote sensing inversion of nitrogen content in silage maize plants based on feature selection.","source":"pubmed","abstract":"Excessive nitrogen application and low nitrogen use efficiency have been major issues in China's agricultural development, posing significant challenges for field management. Nitrogen is a critical nutrient for crop growth, playing an indispensable role in crop development, yield formation, and quality enhancement. Therefore, precisely controlling nitrogen application rates can reduce environmental pollution caused by excessive fertilization and improve nitrogen use efficiency. This study employs multispectral remote sensing images, combined with field-measured nitrogen content, to develop canopy nitrogen content inversion models for maize using three algorithms: backpropagation neural network (BP), support vector machine (SVM), and partial least squares regression (PLSR). The results reveal that there is a degree of redundancy in the information contained in various spectral indices. Feature selection effectively eliminates correlated and redundant spectral information, thereby improving modeling efficiency. The spectral indices Green Index (GI) and Nitrogen Reflectance Index (NRI) exhibit strong correlations with nitrogen content in the maize canopy, suggesting that the green and red spectral bands are crucial for retrieving maize's biophysical and biochemical parameters. In studies on nitrogen content inversion in the maize canopy, the random forest (RF) algorithm, coupled with PLSR, demonstrated superior predictive performance. Compared to the standalone PLSR model, accuracy improved by 3.5%-6.5%, providing a scientific foundation and technical support for precise nitrogen diagnosis and fertilizer management in maize cultivation.","url":"https://pubmed.ncbi.nlm.nih.gov/40115941/","authors":["Cheng K","Yan J","Li G","Ma W","Guo Z","Wang W","Li H","Da Q","Li X","Yao Y"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.3389/fpls.2025.1554842","addedAt":"2026-08-31T06:40:05.994Z","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"pmid:40097470","name":"Energy efficiency maximization for IRS-assisted UAV short packet communication.","source":"pubmed","abstract":"With the development of the sixth generation wireless communication networks, low latency is required to support its applications. In order to meet the low latency requirement, short packet communication is considered to be used, in which a ground sensor transmits the sensing information to a fixed-wing unmanned aerial vehicle (UAV). In this paper, we consider maximizing the energy efficiency of intelligent reflecting surface (IRS)-assisted UAV short packet communication by optimizing the UAV's speed, trajectory, transmit power and passive beamforming of IRS. Since the maximization problem is nonconvex with respect to the system parameters, this problem is difficult to be solved. Therefore, the successive convex approximation method is employed and a joint iterative optimization algorithm is proposed to solve this problem. In the simulation parts, it is shown that the algorithm proposed in this paper has good convergence performance. And there exists an optimal value of flight speed for the UAV to minimize the energy consumption. In addition, it is found that the application of IRS can improve the energy efficiency effectively.","url":"https://pubmed.ncbi.nlm.nih.gov/40097470/","authors":["Hu H","Zhao S","Huang Y","Yu K","Kang Q","Cheng G"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025 Mar 17","doi":"10.1038/s41598-025-92874-0","addedAt":"2026-08-31T06:40:05.994Z","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"pmid:40096488","name":"Meta-Transfer-Learning-Based Multimodal Human Pose Estimation for Lower Limbs.","source":"pubmed","abstract":"Accurate and reliable human pose estimation (HPE) is essential in interactive systems, particularly for applications requiring personalized adaptation, such as controlling cooperative robots and wearable exoskeletons, especially for healthcare monitoring equipment. However, continuously maintaining diverse datasets and frequently updating models for individual adaptation are both resource intensive and time-consuming. To address these challenges, we propose a meta-transfer learning framework that integrates multimodal inputs, including high-frequency surface electromyography (sEMG), visual-inertial odometry (VIO), and high-precision image data. This framework improves both accuracy and stability through a knowledge fusion strategy, resolving the data alignment issue, ensuring seamless integration of different modalities. To further enhance adaptability, we introduce a training and adaptation framework with few-shot learning, facilitating efficient updating of encoders and decoders for dynamic feature adjustment in real-time applications. Experimental results demonstrate that our framework provides accurate, high-frequency pose estimations, particularly for intra-subject adaptation. Our approach enables efficient adaptation to new individuals with only a few new samples, providing an effective solution for personalized motion analysis with minimal data.","url":"https://pubmed.ncbi.nlm.nih.gov/40096488/","authors":["Du G","Zhu H","Ding Z","Huang H","Bie X","Jiang F"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025 Mar 6","doi":"10.3390/s25051613","addedAt":"2026-08-31T06:40:05.994Z","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"pmid:40096447","name":"A Texture Reconstructive Downsampling for Multi-Scale Object Detection in UAV Remote-Sensing Images.","source":"pubmed","abstract":"Unmanned aerial vehicle (UAV) remote-sensing images present unique challenges to the object-detection task due to uneven object densities, low resolution, and drastic scale variations. Downsampling is an important component of deep networks that expands the receptive field, reduces computational overhead, and aggregates features. However, object detectors using multi-layer downsampling result in varying degrees of texture feature loss for various scales in remote-sensing images, degrading the performance of multi-scale object detection. To alleviate this problem, we propose a lightweight texture reconstructive downsampling module called TRD. TRD models part of the texture features lost as residual information during downsampling. After modeling, cascading downsampling and upsampling operators provide residual feedback to guide the reconstruction of the desired feature map for each downsampling stage. TRD structurally optimizes the feature-extraction capability of downsampling to provide sufficiently discriminative features for subsequent vision tasks. We replace the downsampling module of the existing backbone network with the TRD module and conduct a large number of experiments and ablation studies on a variety of remote-sensing image datasets. Specifically, the proposed TRD module improves 3.1% AP over the baseline on the NWPU VHR-10 dataset. On the VisDrone-DET dataset, the TRD improves 3.2% AP over the baseline with little additional cost, especially the APS, APM, and APL by 3.1%, 8.8%, and 13.9%, respectively. The results show that TRD enriches the feature information after downsampling and effectively improves the multi-scale object-detection accuracy of UAV remote-sensing images.","url":"https://pubmed.ncbi.nlm.nih.gov/40096447/","authors":["Zheng W","Xiong B","Chen J","Ou Q","Yu L"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025 Mar 4","doi":"10.3390/s25051569","addedAt":"2026-08-31T06:40:05.994Z","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"pmid:40096442","name":"Task Planning of Multiple Unmanned Aerial Vehicles Based on Minimum Cost and Maximum Flow.","source":"pubmed","abstract":"With the rapid development of UAV technology, UAV delivery has gained attention for its potential to reduce labor costs. However, limitations in load capacity and energy restrict UAVs' distribution capabilities. This paper proposes a cooperative delivery scheme combining traditional trucks and UAVs to extend UAV coverage and improve delivery completion rates. For densely distributed depots in wide-area regions, we develop algorithms for task allocation and path planning in a truck-independent UAV system. Specifically, a minimum-cost, maximum-flow model is constructed to obtain sub-paths covering all delivery tasks, and resource tree-based algorithms are used to construct global paths for UAVs and trucks. Simulation results show that our algorithms reduce total energy consumption by 11.53% and 9.15% under different task points, which suggests that our proposed method can significantly enhance delivery efficiency, offering a promising solution for future logistics operations.","url":"https://pubmed.ncbi.nlm.nih.gov/40096442/","authors":["Shi X","Zhai X","Wang R","Le Y","Fu S","Liu N"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025 Mar 5","doi":"10.3390/s25051605","addedAt":"2026-08-31T06:40:05.994Z","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"pmid:40096383","name":"Deep Reinforcement Learning-Based Secrecy Rate Optimization for Simultaneously Transmitting and Reflecting Reconfigurable Intelligent Surface-Assisted Unmanned Aerial Vehicle-Integrated Sensing and Communication Systems.","source":"pubmed","abstract":"This study investigates security issues in a scenario involving a simultaneously transmitting and reflecting reconfigurable intelligent surface (STAR-RIS)-assisted unmanned aerial vehicle (UAV) with integrated sensing and communication (ISAC) functionality (UAV-ISAC). In this scenario, both legitimate users and eavesdropping users are present, which makes security a crucial concern. Our research goal is to extend the system's coverage and improve its flexibility through the introduction of STAR-RIS, while ensuring secure transmission rates. To achieve this, we propose a secure transmission scheme through jointly optimizing the UAV-ISAC trajectory, transmit beamforming, and the phase and amplitude adjustments of the STAR-RIS reflective elements. The approach seeks to maximize the average secrecy rate while satisfying communication and sensing performance standards and transmission security constraints. As the considered problem involves coupled variables and is non-convex, it is difficult to solve using traditional optimization methods. To address this issue, we adopt a multi-agent deep reinforcement learning (MADRL) approach, which allows agents to interact with the environment to learn optimal strategies, effectively dealing with complex environments. The simulation results demonstrate that the proposed scheme significantly enhances the system's average secrecy rate while satisfying communication, sensing, and security constraints.","url":"https://pubmed.ncbi.nlm.nih.gov/40096383/","authors":["Wang J","Chen S"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025 Mar 2","doi":"10.3390/s25051541","addedAt":"2026-08-31T06:40:05.994Z","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"pmid:40096327","name":"Comparative Analysis of YOLO Series Algorithms for UAV-Based Highway Distress Inspection: Performance and Application Insights.","source":"pubmed","abstract":"Established unmanned aerial vehicle (UAV) highway distress detection (HDD) faces the dual challenges of accuracy and efficiency, this paper conducted a comparative study on the application of the YOLO (You Only Look Once) series of algorithms in UAV-based HDD to provide a reference for the selection of models. YOLOv5-l and v9-c achieved the highest detection accuracy, with YOLOv5-l performing well in mean and classification detection precision and recall, while YOLOv9-c showed poor performance in these aspects. In terms of detection efficiency, YOLOv10-n, v7-t, and v11-n achieved the highest levels, while YOLOv5-n, v8-n, and v10-n had the smallest model sizes. Notably, YOLOv11-n was the best-performing model in terms of combined detection efficiency, model size, and computational complexity, making it a promising candidate for embedded real-time HDD. YOLOv5-s and v11-s were found to balance detection accuracy and model lightweightness, although their efficiency was only average. When comparing t/n and l/c versions, the changes in the backbone network of YOLOv9 had the greatest impact on detection accuracy, followed by the network depth_multiple and width_multiple of YOLOv5. The relative compression degrees of YOLOv5-n and YOLOv8-n were the highest, and v9-t achieved the greatest efficiency improvement in UAV HDD, followed by YOLOv10-n and v11-n.","url":"https://pubmed.ncbi.nlm.nih.gov/40096327/","authors":["Yang Z","Lan X","Wang H"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025 Feb 27","doi":"10.3390/s25051475","addedAt":"2026-08-31T06:40:05.994Z","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"pmid:40096309","name":"Filtering and Overlapping Data for Accuracy Enhancement of Doppler-Based Location Method.","source":"pubmed","abstract":"The localization of radio emitters is a fundamental task in reconnaissance systems, and it has become increasingly important with the evolution of mobile networks. The signal Doppler frequency (SDF) method, developed for dual-use applications, leverages Doppler frequency shifts (DFSs) in received signals to estimate the positions of radio transmitters. This paper proposes enhancements to the SDF method through advanced signal processing techniques, including dedicated filtering and a novel two-level overlapping approach, which significantly improve localization accuracy. The overlapping technique increases the number of DFS estimations per time unit by analyzing overlapping segments at both the signal sample level and within the DFS vector. Simulation studies using various filter types and overlapping parameters were conducted to evaluate the effectiveness of these enhancements in a dynamic scenario involving multiple stationary transmitters and a single moving receiver. The results demonstrate that the proposed approach minimizes localization errors. The application of low-pass filtering at the DFS vector level improves localization accuracy. In the study, three types of filters for different cutoff frequencies are considered. Each of the analyzed filters with an appropriately selected cutoff frequency provides a comparable reduction in localization error at the level of about 30%. The use of overlapping at the signal sample level with a factor of 10% allows for more than a twofold decrease in localization errors, while overlapping at the DFS vector provides an increase in the refresh rate of the position of localized objects. Comparative analysis with direct position determination techniques additionally showed high effectiveness of the SDF method, especially using data filtration and overlapping. The simulation studies carried out are of significant importance for the selection of the operating parameters of real localization sensors in unmanned aerial vehicle (UAV) equipment.","url":"https://pubmed.ncbi.nlm.nih.gov/40096309/","authors":["Szczepanik R","Kelner JM"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025 Feb 27","doi":"10.3390/s25051465","addedAt":"2026-08-31T06:40:05.994Z","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"pmid:40096243","name":"Sensing Techniques for Structural Health Monitoring: A State-of-the-Art Review on Performance Criteria and New-Generation Technologies.","source":"pubmed","abstract":"This systematic review examines the capabilities, challenges, and practical implementations of the most widely utilized and emerging sensing technologies in structural health monitoring (SHM) for infrastructures, addressing a critical research gap. While many existing reviews focus on individual methods, comprehensive cross-method comparisons have been limited due to the highly tailored nature of each technology. We address this by proposing a novel framework comprising five specific evaluation criteria-deployment suitability in SHM, hardware prerequisites, characteristics of the acquired signals, sensitivity metrics, and integration with Digital Twin environments-refined with subcriteria to ensure transparent and meaningful performance assessments. Applying this framework, we analyze both the advantages and constraints of established sensing technologies, including infrared thermography, electrochemical sensing, strain measurement, ultrasonic testing, visual inspection, vibration analysis, and acoustic emission. Our findings highlight critical trade-offs in scalability, environmental sensitivity, and diagnostic accuracy. Recognizing these challenges, we explore next-generation advancements such as self-sensing structures, unmanned aerial vehicle deployment, IoT-enabled data fusion, and enhanced Digital Twin simulations. These innovations aim to overcome existing limitations by enhancing real-time monitoring, data management, and remote accessibility. This review provides actionable insights for researchers and practitioners while identifying future research opportunities to advance scalable and adaptive SHM solutions for large-scale infrastructure.","url":"https://pubmed.ncbi.nlm.nih.gov/40096243/","authors":["Mardanshahi A","Sreekumar A","Yang X","Barman SK","Chronopoulos D"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025 Feb 26","doi":"10.3390/s25051424","addedAt":"2026-08-31T06:40:05.994Z","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"pmid:40095134","name":"Low-cost sensor-based algal bloom labeling: a comparative study of SVM and logic methods.","source":"pubmed","abstract":"This study explores a low-cost sensor system for real-time algae bloom detection and water management. Harmful algal blooms (HABs) threaten water quality, ecosystems, and public health. Traditional detection methods, like satellite imagery and unmanned aerial vehicle (UAV), are expensive and not always suited for real-time monitoring. The proposed system uses sunlight and illuminance sensors to predict algae blooms and water level fluctuations. Data from these sensors are analyzed using support vector machines (SVM) and logical algorithms, with labeling based on sensor readings (e.g., \"algae\", \"sunny\", \"shade\", \"aqua\"). A multiple linear regression (MLR) model is also developed to predict chlorophyll-a (Chl-a) concentrations. Both SVM and logical algorithms proved effective. The classification using SVM with four sensor values achieved an accuracy of 92.6%, while applying principal component analysis (PCA) before SVM classification resulted in 91.0% accuracy. In contrast, applying a sequential logical sequence to the boundary conditions of a single SVM model improved accuracy to 95.1%, and incorporating PCA-transformed SVM boundary conditions achieved 100.0% accuracy. This surpassed the performance of nonlinear decision models such as random forest and gradient boosting, which achieved 99.2% accuracy. The MLR model successfully predicted Chl-a levels with a 14.3% error rate for values above 5&#xa0;mg/L. The developed system is an efficient alternative to traditional methods, enhancing real-time monitoring in water quality management.","url":"https://pubmed.ncbi.nlm.nih.gov/40095134/","authors":["Lee JY"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025 Mar 17","doi":"10.1007/s10661-025-13815-y","addedAt":"2026-08-31T06:40:05.994Z","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"pmid:40090260","name":"Height and terrain correction of UAV radioactive measurements based on DEM data.","source":"pubmed","abstract":"In this study, we explore the application of unmanned aerial vehicle (UAV) gamma spectrometry in terrestrial radiometric surveys, with a particular focus on the impact of UAV flight altitudes and rough terrain on measurement. Through field experiments conducted at a rare earth deposit in Sichuan, China, radioactive data were obtained from 509 UAV survey points and 585 ground measurement points. A physical model for measuring ground radioactivity using UAVs is established, and the digital elevation model (DEM) in the survey area is used to correct the height and terrain of radioactivity at the measurement points. By qualitatively and quantitatively analyzing the differences between UAV and ground measurement systems in height and terrain, it concludes that the use of height and terrain correction method can utilize UAV measurement data to indicate ground air absorption dose rates, and the indication of corrected UAV-measured data is enhanced as the correction range expands. The results of this study not only confirm the effectiveness of UAV measurement technology in radiometric surveys, but also provide a new method for radiometric surveys under large-scale and complex terrain conditions, which has significant practical application value in fields such as environmental monitoring, resource exploration, and nuclear security.","url":"https://pubmed.ncbi.nlm.nih.gov/40090260/","authors":["Deng Z","Ge L","Wen L","Guo S","Tang C","Yu P","Chen Z"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025 May","doi":"10.1016/j.jenvrad.2025.107655","addedAt":"2026-08-31T06:40:05.994Z","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"pmid:40082660","name":"Characterising the performance of a drone-mounted real-time methane imaging system.","source":"pubmed","abstract":"We demonstrate a methane gas imaging system mounted to an unmanned aerial vehicle (UAV) that is shown to perform real-time detection at distances up to 10m whist airborne. Laser diodes that switch between on- and off- resonance with a 1.6 &#x3bc; m methane absorption line are used to flood-illuminate a scene. The scene is imaged with an infrared InGaAs camera and the differential of the on-resonance and off-resonance back-scatter images are used to reveal the gas distribution. The performance of the system was characterised against a range of back-scatter surfaces, showing promising applicability to realistic gas sensing environments. We demonstrate that the system is capable of detecting a gas concentration of 5000 ppm.metre up to a range of 13.6m.","url":"https://pubmed.ncbi.nlm.nih.gov/40082660/","authors":["MacGruer AG","Johnson SD","Mekhail SP","Nutt KJ","Padgett MJ","Gibson GM"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025 Mar 13","doi":"10.1038/s41598-025-93186-z","addedAt":"2026-08-31T06:40:05.994Z","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"pmid:40080738","name":"High resolution descriptors for UAV mapping in biodiversity conservation - A case study of sandy steppe habitat renewal.","source":"pubmed","abstract":"Due to the large-scale disappearance of grasslands there is an urgent need for revitalization. It calls for consistent and accessible monitoring and mapping plans, and an integrated management approach. However, revitalization efforts often focus solely on the vegetation component, and skip the link to other animal species that perform vital functions as ecosystem engineers and umbrella species. In this study, we combine an in-situ standard phytocoenological survey with an UAV-based technology in the effort to improve the monitoring and mapping of the sandy steppe habitat of the European ground squirrel (Spermophilus citellus; EGS), undergoing revitalization in the northern Serbia. It is a model organism of an animal species that enables identifying habitat quality and quantity indicators to understand the broader implications of the ecosystem revitalization efforts on the wildlife populations. The proposed approach tested whether the commercially available RGB sensor and a relatively high flight height of the UAV have discriminative capacity to aid site managers by mapping identified steppe development stages (specific plant assemblages, reflecting different habitat types). Thus, a novel set of high-resolution image descriptors that are capable of discriminating plant mixtures corresponding to Fallow land, Forest steppe and shrubs, Young steppe I and II, was proposed. Despite high resolution imaging, the method solves a challenging problem of UAV vegetation mapping in the case of limited spectral and spatial information in the image (by using only RGB camera and multitemporal approach). Although the lack of visual information that would allow identification of individual plant parts and shapes prevented the use of usual object-based image analysis, proposed pixel-based descriptors and feature selection were able to provide the extent of the targeted areas and their compositional carriers. Presented holistic approach enables implementation of effective management strategies that support the entire ecological community.","url":"https://pubmed.ncbi.nlm.nih.gov/40080738/","authors":["Arok M","Brkljač B","Lugonja P","Ivošević B","Vukotić M","Nikolić Lugonja T"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.1371/journal.pone.0315399","addedAt":"2026-08-31T06:40:05.994Z","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"pmid:40070454","name":"Unsupervised semantic label generation in agricultural fields.","source":"pubmed","abstract":"Robust perception systems allow farm robots to recognize weeds and vegetation, enabling the selective application of fertilizers and herbicides to mitigate the environmental impact of traditional agricultural practices. Today's perception systems typically rely on deep learning to interpret sensor data for tasks such as distinguishing soil, crops, and weeds. These approaches usually require substantial amounts of manually labeled training data, which is often time-consuming and requires domain expertise. This paper aims to reduce this limitation and propose an automated labeling pipeline for crop-weed semantic image segmentation in managed agricultural fields. It allows the training of deep learning models without or with only limited manual labeling of images. Our system uses RGB images recorded with unmanned aerial or ground robots operating in the field to produce semantic labels exploiting the field row structure for spatially consistent labeling. We use the rows previously detected to identify multiple crop rows, reducing labeling errors and improving consistency. We further reduce labeling errors by assigning an \"unknown\" class to challenging-to-segment vegetation. We use evidential deep learning because it provides predictions uncertainty estimates that we use to refine and improve our predictions. In this way, the evidential deep learning assigns high uncertainty to the weed class, as it is often less represented in the training data, allowing us to use the uncertainty to correct the semantic predictions. Experimental results suggest that our approach outperforms general-purpose labeling methods applied to crop fields by a large margin and domain-specific approaches on multiple fields and crop species. Using our generated labels to train deep learning models boosts our prediction performance on previously unseen fields with respect to unseen crop species, growth stages, or different lighting conditions. We obtain an IoU of 88.6% on crops, and 22.7% on weeds for a managed field of sugarbeets, where fully supervised methods have 83.4% on crops and 33.5% on weeds and other unsupervised domain-specific methods get 54.6% on crops and 11.2% on weeds. Finally, our method allows fine-tuning models trained in a fully supervised fashion to improve their performance in unseen field conditions up to +17.6% in mean IoU without additional manual labeling.","url":"https://pubmed.ncbi.nlm.nih.gov/40070454/","authors":["Roggiolani G","Rückin J","Popović M","Behley J","Stachniss C"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.3389/frobt.2025.1548143","addedAt":"2026-08-31T06:40:05.994Z","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"pmid:40065060","name":"Secrecy outage probability and strictly positive secrecy capacity of UAV assisted cooperative NOMA system with two untrusted destinations.","source":"pubmed","abstract":"The volume of confidential information transmitted over 5G networks has increased rapidly due to the widespread adoption of large machine-type communication and Internet of Things (IoT) devices. Secrecy outage probability (SOP) and strictly positive secrecy capacity (SPSC) parameters are crucial parameters used in evaluating the security of wireless systems, particularly in situations where maintaining secrecy is essential. Also, Non-orthogonal multiple access (NOMA) has the potential to improve the performance of wireless communication systems due to its higher spectral efficiency, improved fairness in resource allocation, and enhanced coverage and connectivity. In this paper, we investigate the secrecy performance of unmanned aerial vehicles (UAV) assisted cooperative NOMA system with a half duplex protocol based amplify and forward relay over the Rayleigh fading channel in presence of two eavesdroppers for downlink communication. We derive SOP and SPSC of the proposed system model and analyze its performance in terms of the illegal SNR of eavesdroppers, power allocation coefficient, information rates and Rayleigh channel parameters. Simulation results demonstrate that SOP decreases with a higher value of power allocation coefficient and lower values of the illegal SNR of eavesdropper and lower information rates. SPSC increases with high values of power allocation coefficient of far destination and decreases with lower values of illegal SNR of eavesdroppers and Rayleigh channel parameters. Analytical simulations are verified using Monte Carlo simulations.","url":"https://pubmed.ncbi.nlm.nih.gov/40065060/","authors":["Khan MJ","Ahmad S","Singh I","Sahu UK"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025 Mar 10","doi":"10.1038/s41598-025-92321-0","addedAt":"2026-08-31T06:40:05.994Z","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"pmid:40064733","name":"Mapping waste piles in an urban environment using ground surveys, manual digitization of drone imagery, and object based image classification approach.","source":"pubmed","abstract":"There is wide recognition of the threats posed by&#xa0;the open dumping of waste in the environment. However, tools to surveil interventions for reducing this practice are poorly developed. This study explores the use of drone imagery for environmental surveillance. Drone images of waste piles were captured in a densely populated residential neighborhood in the Republic of Malawi. Images were processed using the Structure for Motion (SfM) technique and partitioned into segments using Orfeo Toolbox mounted in QGIS software. A total of 509 segments were manually labeled to generate data for training and testing a series of classification models. Four supervised classification algorithms (Random Forest, Artificial Neural Network, Na&#xef;ve Bayes, and Support Vector Machine) were trained, and their performances were assessed regarding precision, recall, and F-1 score. Ground surveys were also conducted to map waste piles using a Global Positioning System (GPS) receiver and determine the physical composition of materials on the waste pile surface. Differences were observed between the field survey done by community-led physical mapping of waste piles and drone mapping. Drone mapping identified more waste piles than field surveys, and the spatial extent of waste piles was computed for each waste pile. The binary Support Vector Machine model predictions were the highest performing, with a precision of 0.98, recall of 0.99, and F1-score of 0.98. Drone mapping enabled the identification of waste piles in areas that cannot be accessed during ground surveys and further allowed the quantification of the total land surface area covered by waste piles. Drone imagery-based surveillance of waste piles thus has the potential to guide environmental waste policy, offer solutions for permanent monitoring, and evaluate waste reduction interventions.","url":"https://pubmed.ncbi.nlm.nih.gov/40064733/","authors":["Kalonde PK","Mwapasa T","Mthawanji R","Chidziwisano K","Morse T","Torguson JS","Jones CM","Quilliam RS","Feasey NA","Henrion MYR","Stanton MC","Blinnikov MS"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025 Mar 11","doi":"10.1007/s10661-025-13675-6","addedAt":"2026-08-31T06:40:05.994Z","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"pmid:40042348","name":"A terahertz band multifunctional metamaterial transmission-absorption switching device based on vanadium dioxide.","source":"pubmed","abstract":"In this paper, a vanadium dioxide (VO 2 )-based terahertz device is proposed to realize the conversion between broadband absorption and broadband transmission functions, including the VO 2 bottom layer, dielectric layer and VO 2 pattern layer in a three-layer structure. With the change of the VO 2 conductivity, the terahertz metamaterial device can switch between broadband absorption and broadband transmission. When the device exhibits broadband transmission, it has a high transmittance of 90% for terahertz waves in the 5.6 THz to 8.7 THz frequency band. When the device exhibits broadband absorption, it has a high 90% absorption of terahertz waves in the 3.66 THz to 9.98 THz frequency band. Furthermore, with increasing VO 2 conductivity, the peak transmittance of the device decreases from 93.8% to 0% and the absorption increases from 1% to 99.5%. The impedance matching theory is invoked and the physical mechanism of the device is elucidated by analyzing the surface electric field of the device. By studying the absorption characteristics for different incidence and polarization angles, the device is insensitive to polarization and has good absorption performance over large incidence angles. Compared with other absorbers of terahertz metamaterials, the device structure proposed in this study has a unique design and diverse functions and can play an important role in various fields such as communications, electromagnetic stealth, sensors, and thermal emission devices.","url":"https://pubmed.ncbi.nlm.nih.gov/40042348/","authors":["Wang X","He X","Tang C","Shui B","Yi Z"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025 Mar 25","doi":"10.1039/d5dt00153f","addedAt":"2026-08-31T06:40:05.994Z","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"pmid:40038296","name":"In-situ positive electrode-electrolyte interphase construction enables stable Ah-level Zn-MnO(2) batteries.","source":"pubmed","abstract":"Engineering the formulation of an Mn-based positive electrode is a viable strategy for producing an efficient aqueous zinc-ion battery. However, Mn dissolution and the byproducts result in capacity fading, thus limiting its electrochemical performances. To solve the undesirable issues, the concept of in-situ forming the positive electrode/electrolyte interface on the commercial MnO 2 is designed, with the help of introducing the Dioctyl Phthalate into the ZS-based electrolyte (2&#x2009;M ZnSO 4 &#x2009;+&#x2009;0.2&#x2009;M MnSO 4 ), designated as ZS-DOP electrolyte. An advanced three-dimensional chemical and imaging analysis on a model material reveals the dynamic formation of positive electrode/electrolyte interface. The formed organic interface effectively suppresses the corrosion of the electrolytes with its hydrophobicity, and adjusts the pH value according to Le Chatelier's Principle to inhibit the production of by-products. Specifically, the pouch cell assembled with the ZS-DOP electrolyte attains a reversible capacity of ~2.5&#x2009;Ah and powers the unmanned aerial vehicle. Furthermore, photovoltaic energy storage applications deliver a stable capacity of 0.5&#x2009;Ah and realize the power supply for mobile phones and other electronic devices. Our results facilitate the development of in-situ surface protection on the positive electrode in aqueous zinc-ion battery, providing insights into its practical application.","url":"https://pubmed.ncbi.nlm.nih.gov/40038296/","authors":["Lai G","Zhao Z","Zhang H","Hu X","Lu B","Liang S","Zhou J"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025 Mar 4","doi":"10.1038/s41467-025-57579-y","addedAt":"2026-08-31T06:40:05.994Z","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"pmid:40034725","name":"HighRPD: A high-altitude drone dataset of road pavement distress.","source":"pubmed","abstract":"This dataset presents pavement distress data collected using high-altitude Unmanned Aerial Vehicles (UAVs) over road networks in Shanxi, China. The data collection involved capturing aerial images of road pavements with UAVs flying at high altitudes to efficiently cover large areas. A total of 11,696 high-resolution road pavement images were acquired and annotated with detailed distress information: 12,365 line annotations indicating linear cracks, 8239 block annotations marking block cracks, and 1412 pit annotations identifying potholes. Named HighRPD, this extensive dataset addresses the scarcity of publicly available UAV-based road pavement distress datasets, which are currently limited in data volume. HighRPD offers a substantial number of samples compared to existing public datasets, providing a valuable resource for developing and benchmarking pavement distress detection algorithms. Additionally, the dataset offers data scientists and machine learning engineers a rich repository of road surface data, facilitating the development and training of models for image recognition, pavement condition classification, and object detection. Consequently, HighRPD supports applied research in areas such as transportation and urban planning.","url":"https://pubmed.ncbi.nlm.nih.gov/40034725/","authors":["He J","Gong L","Xu C","Wang P","Zhang Y","Zheng O","Su G","Yang Y","Hu J","Sun Y"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025 Apr","doi":"10.1016/j.dib.2025.111377","addedAt":"2026-08-31T06:40:05.994Z","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"pmid:40033688","name":"Effect of carbon chain length of cationic surfactants on regulating droplet behavior on peanut leaves.","source":"pubmed","abstract":"Droplet rebound on superhydrophobic leaves during pesticide application significantly increases pesticide waste and decreases application efficiency. An appropriate surfactant is crucial for suppressing droplet rebound and enhancing wetting and spreading on leaf surfaces.","url":"https://pubmed.ncbi.nlm.nih.gov/40033688/","authors":["Li FY","Yu M","Fang Y","Ma YJ","Wang YM","Pan SH","Mu L","Guo XY","Pang S","Xu Y","Zhao R","Wu XM"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025 Jul","doi":"10.1002/ps.8718","addedAt":"2026-08-31T06:40:05.994Z","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"pmid:40028582","name":"Framework for smartphone-based grape detection and vineyard management using UAV-trained AI.","source":"pubmed","abstract":"Viticulture benefits significantly from rapid grape bunch identification and counting, enhancing yield and quality. Recent technological and machine learning advancements, particularly in deep learning, have provided the tools necessary to create more efficient, automated processes that significantly reduce the time and effort required for these tasks. On one hand, drone, or Unmanned Aerial Vehicles (UAV) imagery combined with deep learning algorithms has revolutionised agriculture by automating plant health classification, disease identification, and fruit detection. However, these advancements often remain inaccessible to farmers due to their reliance on specialized hardware like ground robots or UAVs. On the other hand, most farmers have access to smartphones. This article proposes a novel approach combining UAVs and smartphone technologies. An AI-based framework is introduced, integrating a 5-stage AI pipeline combining object detection and pixel-level segmentation algorithms to automatically detect grape bunches in smartphone images of a commercial vineyard with vertical trellis training. By leveraging UAV-captured data for training, the proposed model not only accelerates the detection process but also enhances the accuracy and adaptability of grape bunch detection across different devices, surpassing the efficiency of traditional and purely UAV-based methods. To this end, using a dataset of UAV videos recorded during early growth stages in July (BBCH77-BBCH79), the X-Decoder segments vegetation in the front of the frames from their background and surroundings. X-Decoder is particularly advantageous because it can be seamlessly integrated into the AI pipeline without requiring changes to how data is captured, making it more versatile than other methods. Then, YOLO is trained using the videos and further applied to images taken by farmers with common smartphones (Xiaomi Poco X3 Pro and iPhone X). In addition, a web app was developed to connect the system with mobile technology easily. The proposed approach achieved a precision of 0.92 and recall of 0.735, with an F1 score of 0.82 and an Average Precision (AP) of 0.802 under different operation conditions, indicating high accuracy and reliability in detecting grape bunches. In addition, the AI-detected grape bunches were compared with the actual ground truth, achieving an R 2 value as high as 0.84, showing the robustness of the system. This study highlights the potential of using smartphone imaging and web applications together, making an effort to integrate these models into a real platform for farmers, offering a practical, affordable, accessible, and scalable solution. While smartphone-based image collection for model training is labour-intensive and costly, incorporating UAV data accelerates the process, facilitating the creation of models that generalise across diverse data sources and platforms. This blend of UAV efficiency and smartphone precision significantly cuts vineyard monitoring time and effort.","url":"https://pubmed.ncbi.nlm.nih.gov/40028582/","authors":["Vélez S","Ariza-Sentís M","Triviño M","Cob-Parro AC","Mila M","Valente J"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025 Feb 28","doi":"10.1016/j.heliyon.2025.e42525","addedAt":"2026-08-31T06:40:05.994Z","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"pmid:40024037","name":"Leveraging synergies between UAV and Landsat 8 sensors to evaluate the impact of pale lichen biomass on land surface temperature in heath tundra ecosystems.","source":"pubmed","abstract":"Pale terricolous lichens are a vital component of Arctic ecosystems, significantly contributing to carbon balance, energy regulation, and serving as a primary food source for reindeer. Their characteristically high albedo also impacts land surface temperature (LST) dynamics across various spatial scales. However, remote sensing of lichens is challenging due to their complex spectral signatures and large spatial variations in coverage and biomass even within local landscape scales. This study evaluates the influence of pale lichens on LST at local and landscape scales by integrating RGB, multispectral, and thermal infrared imagery from an Unmanned Aerial Vehicle (UAV) with multi-temporal Landsat 8 thermal data. An Extreme Gradient Boosting algorithm was employed to map pale lichen biomass, areal extent, and the occurrence of major plant functional types in the sub-arctic heath tundra landscape in the J&#xe1;vrre&#x161;duottar and Sieidde&#x10d;earru areas on the Finland-Norway border. Generalized Additive Models (GAMs) were used to elucidate the factors affecting LST. The UAV model accurately predicted pale lichen biomass (R 2 0.63) and vascular vegetation cover (R 2 0.70). GAMs revealed that pale lichens significantly influence thermal regimes, with increased biomass leading to decreased LST, an effect more pronounced at the landscape scale (deviance explained 47.26&#xa0;% and 65.8&#xa0;% for local and landscape models, respectively). Pale lichen biomass was identified as the second most important variable affecting LST at both scales, with elevation being the most important variable. This research demonstrates the capability of UAV-derived models to capture the heterogeneous and fine-scale structure of tundra ecosystems. Furthermore, it underscores the effectiveness of combining high spatial resolution UAV and high temporal resolution satellite platforms. Finally, this study highlights the pivotal role of pale lichens in Arctic thermal dynamics and showcases how advanced remote sensing techniques can be used for ecological monitoring and management.","url":"https://pubmed.ncbi.nlm.nih.gov/40024037/","authors":["Villoslada M","Bergamo T","Kolari T","Erlandsson R","Korpelainen P","Räsänen A","Tahvanainen T","Tømmervik H","Virtanen T","Winquist E","Kumpula T"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025 Mar 15","doi":"10.1016/j.scitotenv.2025.178982","addedAt":"2026-08-31T06:40:05.994Z","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"pmid:40022802","name":"High-precision inversion of urban river water quality via integration of riparian spatial structures and river spectral signatures.","source":"pubmed","abstract":"With the ongoing process of urbanization, it poses challenges to the monitoring of water quality in urban rivers. The mainstream methods for remote sensing water quality monitoring rely on the optical characteristics of water to achieve water quality inversion, while overlooking the correlation between water quality and riparian zones. The spatial arrangement and scale fluctuation of the riparian zones exert a substantial influence on water quality as it serves as an intermediary region connecting riverine and terrestrial ecosystems. Therefore, this study firstly employed unmanned aerial vehicle (UAV)-borne multispectral remote sensing technology to capture the subtle variations in urban river water quality and obtain detailed spatial information of the riparian zone. The Liang-Kleeman information flow was subsequently employed to quantitatively assess the causal responses of the spatial composition of riparian zone to water quality parameters across various spatial scales. Finally, we developed a hierarchical ensemble learning model for water quality assessment by integrating the spatial characteristics of the riparian zone with the spectral properties of the water body. The result demonstrates that this model accurately delineated water quality grades for three key parameters: ammonia nitrogen (NH 3 N), chemical oxygen demand (COD), and total phosphorus (TP), achieving accuracies of 94.87 %, 92.31 %, and 89.74 %, respectively. Our study presents a water quality inversion method for urban rivers, which holds significant guidance for the monitoring and management of urban rivers and contributes to further promoting the sustainable development of cities.","url":"https://pubmed.ncbi.nlm.nih.gov/40022802/","authors":["Wang H","Liu C","Li L","Kong Y","Akbar A","Zhou X"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025 Jun 15","doi":"10.1016/j.watres.2025.123378","addedAt":"2026-08-31T06:40:05.994Z","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"pmid:40013598","name":"Plant protection treatments in Switzerland using unmanned aerial vehicles: regulatory framework and lessons learned.","source":"pubmed","abstract":"Switzerland was the first European country to approve the use of unmanned aerial vehicles (UAVs) for the purpose of plant protection treatments. The regulatory framework that has been established requires UAV sprayers to undergo a series of technical assessments that have generated a substantial amount of data. Here, we first describe the regulatory framework and the underlying rationales, followed by analyzing data from the technical assessments. The results show that the UAV sprayers being used in Switzerland achieve homogeneous transversal spray liquid distributions with coefficients of variation below 15 % at effective swath widths that are typically lower than those indicated by UAV manufacturers. Moreover, the lateral wind generated by the UAV sprayers as measured at distances of 10&#x2009;m and 20&#x2009;m, respectively, is not substantially affected by UAV size or weight. A survey we conducted to gain insight into agricultural practices under the current regulatory framework suggests that up to 11.5 % of the total of Swiss vineyards were treated with UAV sprayers in 2023. Other uses, such as spreading slug pellets, seem to gain importance as well. Finally, efficacy trials performed in Swiss vineyards suggest that UAV sprayers achieve limited control efficacy of powdery and downy mildew at high disease pressure, which is likely to be due to the relatively low amount of deposit around and on the bunches. We conclude this paper by outlining future regulatory challenges and directions for further development. &#xa9; 2025 The Author(s). Pest Management Science published by John Wiley &amp; Sons Ltd on behalf of Society of Chemical Industry.","url":"https://pubmed.ncbi.nlm.nih.gov/40013598/","authors":["Anken T","Coupy G","Dubuis PH","Favre G","Geiser HC","Gurba A","Häni M","Hochstrasser M","Landis M","Maitre T","Moor C","Mouron P","Sanvido O","Wagner Y","Zarn JA","König SLB"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025 Jul","doi":"10.1002/ps.8721","addedAt":"2026-08-31T06:40:05.994Z","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"pmid:40007960","name":"A lightweight wheat ear counting model in UAV images based on improved YOLOv8.","source":"pubmed","abstract":"Wheat ( Triticum aestivum L.) is one of the significant food crops in the world, and the number of wheat ears serves as a critical indicator of wheat yield. Accurate quantification of wheat ear counts is crucial for effective scientific management of wheat fields. To address the challenges of missed detections, false detections, and diminished detection accuracy arising from the dense distribution, small size, and high overlap of wheat ears in Unmanned Aerial Vehicle (UAV) imagery, we propose a lightweight model, PSDS-YOLOv8 (P2-SPD-DySample-SCAM-YOLOv8), on the basis of the improved YOLOv8 framework, for the accurate detection of wheat ears in UAV images. First, the high resolution micro-scale detection layer (P2) is introduced to enhance the model's ability to recognize and localize small targets, while the large-scale detection layer (P5) is eliminated to minimize computational redundancy. Then, the Spatial Pyramid Dilated Convolution (SPD-Conv) module is employed to improve the ability of the network to learn features, thereby enhancing the representation of weak features of small targets and preventing information loss caused by low image resolution or small target sizes. Additionally, a lightweight dynamic upsampler, Dynamic Sample (DySample), is introduced to decrease computational complexity of the upsampling process by dynamically adjusting interpolation positions. Finally, the lightweight module Spatial Context-Aware Module (SCAM) is utilized to accurately map the connection between small targets and global features, enhancing the discrimination of small targets from the background. Experimental results demonstrate that the improved PSDS-YOLOv8 model achieves Mean Average Precision(mAP) 50 and mAP50:95 scores of 96.5% and 55.2%, which increases by 2.8% and 4.4%, while the number of parameters is reduced by 40.6% in comparison with the baseline YOLOv8 model. Compared to YOLOv5, YOLOv7, YOLOv9, YOLOv10, YOLOv11, Faster RCNN, SSD, and RetinaNet, the improved model demonstrates superior accuracy and fewer parameters, exhibiting the best overall performance. The methodology proposed in this study enhances model accuracy while concurrently reducing resource consumption and effectively addressing the issues of missed and false detections of wheat ears, thereby providing technical support and theoretical guidance for intelligent counting of wheat ears in UAV imagery.","url":"https://pubmed.ncbi.nlm.nih.gov/40007960/","authors":["Li R","Sun X","Yang K","He Z","Wang X","Wang C","Wang B","Wang F","Liu H"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.3389/fpls.2025.1536017","addedAt":"2026-08-31T06:40:05.994Z","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"pmid:40006405","name":"Autonomous Mission Planning for Fixed-Wing Unmanned Aerial Vehicles in Multiscenario Reconnaissance.","source":"pubmed","abstract":"Before a fixed-wing UAV executes target tracking missions, it is essential to identify targets through reconnaissance mission areas using onboard payloads. This paper presents an autonomous mission planning method designed for such reconnaissance operations, enabling effective target identification prior to tracking. Existing planning methods primarily focus on flight performance, energy consumption, and obstacle avoidance, with less attention to integrating payload. Our proposed method emphasizes the combination of two key functions: flight path planning and payload mission planning. In terms of path planning, we introduce a method based on the Hierarchical Traveling Salesman Problem (HTSP), which utilizes the nearest neighbor algorithm to find the optimal visit sequence and entry points for area targets. When dealing with area targets containing no-fly zones, HTSP quickly calculates a set of waypoints required for coverage path planning (CPP) based on the Generalized Traveling Salesman Problem (GTSP), ensuring thorough and effective reconnaissance coverage. In terms of payload mission planning, our proposed method fully considers payload characteristics such as scan resolution, imaging width, and operating modes to generate predefined mission instruction sets. By meticulously analyzing payload constraints, we further optimized the path planning results, ensuring that each instruction meets the payload performance requirements. Finally, simulations validated the effectiveness and superiority of the proposed autonomous mission planning method in reconnaissance tasks.","url":"https://pubmed.ncbi.nlm.nih.gov/40006405/","authors":["Chen B","Yan J","Zhou Z","Lai R","Lin J"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025 Feb 14","doi":"10.3390/s25041176","addedAt":"2026-08-31T06:40:05.994Z","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"pmid:40006340","name":"ZPTM: Zigzag Path Tracking Method for Agricultural Vehicles Using Point Cloud Representation.","source":"pubmed","abstract":"Automatic navigation, as one of the modern technologies in farming automation, enables unmanned driving and operation of agricultural vehicles. In this research, the ZPTM (Zigzag Path Tracking Method) was proposed to reduce the complexity of path planning by using a point cloud consisting of a series of anchor points with spatial information, which are obtained from orthophotos taken by UAVs (Unmanned Aerial Vehicles) to represent the curved path in the zigzag. A local straight path was created by linking two adjacent anchor points, forming the local target path to be tracked, which simplified the navigation algorithm for zigzag path tracking. A nonlinear feedback function was established, using both lateral and heading errors as inputs for determining the desired heading angle of agricultural vehicles, which were guided along the local target path with minimal errors. A GUI (Graphic User Interface) was designed on the navigation terminal to visualize and monitor the working process of agricultural vehicles in automatic navigation, displaying interactive controls and components, including representations of the zigzag path and the agricultural vehicle using affine transformation. A high-clearance sprayer equipped with an automatic navigation system was utilized as the test platform to evaluate the proposed ZPTM. Zigzag navigation tests were conducted to explore the impact of path tracking parameters, including path curvature, moving speed, and spacing between anchor points, on zigzag navigation performance. Based on these tests, a regression model was established to optimize these parameters for achieving accurate and smooth movement. Field test results showed that the maximum error, average error, and RMS (Root Mean Square) error in the zigzag navigation were 3.30 cm, 2.04 cm, and 2.27 cm, respectively. These results indicate that the point cloud path-based ZPTM in this research demonstrates adequate stability, accuracy, and applicability in zigzag navigation.","url":"https://pubmed.ncbi.nlm.nih.gov/40006340/","authors":["Yang S","Zhang E","Liu Y","Du J","Yin X"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025 Feb 12","doi":"10.3390/s25041110","addedAt":"2026-08-31T06:40:05.994Z","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"pmid:40006289","name":"Global Fast Terminal Fuzzy Sliding Mode Control of Quadrotor UAV Based on RBF Neural Network.","source":"pubmed","abstract":"In this paper, a global fast terminal fuzzy sliding mode control scheme based on the radial basis function (RBF) neural network is proposed for quadrotor unmanned aerial vehicle systems in the presence of external disturbances, system model uncertainty, and time-varying mass. Firstly, the dynamic model of the quadrotor is divided into two subsystems, i.e., an outer-loop control subsystem and an inner-loop control subsystem. Secondly, an adaptive sliding mode controller is used to control the outer-loop control subsystem, which includes the adaptive laws estimating the time-varying mass and external disturbances. In the inner-loop control subsystem, a global fast terminal fuzzy sliding mode controller, which is based on the RBF neural network, is designed to control the attitude of a quadrotor. In this method, the system model uncertainty is approximated using the RBF neural network. Simultaneously, an adaptive fuzzy controller is introduced to estimate the switching gain and eliminate external disturbances, and the chattering phenomenon is eliminated effectively. Finally, simulations are provided to demonstrate the effectiveness of the proposed control scheme.","url":"https://pubmed.ncbi.nlm.nih.gov/40006289/","authors":["Chen W","Ding Y","Weng F","Liang C","Li J"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025 Feb 10","doi":"10.3390/s25041060","addedAt":"2026-08-31T06:40:05.994Z","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"pmid:40006281","name":"An Improved UWB Indoor Positioning Approach for UAVs Based on the Dual-Anchor Model.","source":"pubmed","abstract":"Ultra-wideband (UWB) technology has been widely used for indoor positioning of UAVs due to its excellent range performance. The traditional UWB positioning system requires at least three anchors to complete 3D positioning. Reducing the number of anchors further means reducing the cost and difficulty of deployment. Therefore, this paper proposes a positioning model using only two anchors. In this model, the altitude of the UAV is measured by a rangefinder. Then, the position of the UAV is projected onto the horizontal plane, converting 3D positioning into 2D positioning. The rangefinder's range accuracy is higher than that of the UWB, which is beneficial for improving 3D positioning accuracy. In addition, an altitude fusion method of integrating rangefinder and barometer data is designed to realize the switching of altitude data and barometer calibration to solve the problem of obstacles under the UAV affecting the altitude measurement. On this basis, the multi-sensor data fusion algorithm based on a dual-anchor positioning model is designed to improve positioning accuracy, and the data of the UWB, rangefinder, barometer, and accelerometer are fused by the unscented Kalman filter (UKF) algorithm. The positioning simulation and experiment show that the positioning accuracy of the dual-anchor model is generally higher than that of the three-anchor model, with decimeter-level positioning accuracy.","url":"https://pubmed.ncbi.nlm.nih.gov/40006281/","authors":["Xiang Z","Chen L","Wu Q","Yang J","Dai X","Xie X"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025 Feb 10","doi":"10.3390/s25041052","addedAt":"2026-08-31T06:40:05.994Z","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"pmid:39999207","name":"Accurate and efficient insulator maintenance: A DETR algorithm for drone imagery.","source":"pubmed","abstract":"With the increasing demand for electricity, the safety and stability of power grids become paramount, highlighting the critical need for effective maintenance and inspection. Insulators, integral to power grid maintenance as protective devices on outdoor high-altitude conductors, are often subject to suboptimal image quality during drone-based inspections due to adverse weather conditions such as rain, snow, fog, and the challenges posed by sunlight, high-speed movement, and long-distance imaging. To address these challenges and achieve a more accurate inspection system, this manuscript introduces an insulator defect detection algorithm tailored for the low-quality images collected by drone-based imaging systems. Utilizing a patch diffusion model, high-quality images are obtained, enhancing the precision of insulator defect detection methods. Furthermore, to improve detection accuracy, we introduce an optimized DETR method that incorporates a Spatial Information Interaction Module to further strengthen the characteristics of minor defects. Additionally, a special convergence network is employed to augment the detection capabilities of the DETR. Experimental results demonstrate that our proposed insulator detection technique has achieved a detection accuracy of 95.8%, significantly outperforming existing defect detection methods in complex environments. It overcomes the drawbacks of traditional methods by employing sophisticated computational models, leading to more efficient, economical, and secure maintenance and inspection of power grids.","url":"https://pubmed.ncbi.nlm.nih.gov/39999207/","authors":["Tian Y","Ahmad RB","Abdullah NAB"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.1371/journal.pone.0318225","addedAt":"2026-08-31T06:40:05.994Z","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"doi:10.5281/zenodo.15391924","name":"UaVirBASE: A Public-Access Unmanned Aerial Vehicle Sound Source Localization Dataset","source":"datacite","abstract":"UaVirBASE is a publicly available dataset designed for the sound source localization (SSL) of unmanned aerial vehicles (UAVs) using acoustic signals. It contains synchronized multi-microphone audio recordings collected under controlled experimental conditions, featuring a wide range of UAV positions and orientations with respect to a fixed microphone array. The dataset includes variations in: Distance and altitude from the array Azimuth angles UAV orientations (front, back, left, right) These variations are critical for training robust machine learning and deep learning models for SSL in real-world UAV scenarios. Additionally, this dataset is accompanied by detailed metadata and annotation files, as well as documentation outlining the recording setup, hardware specifications, and data acquisition pipeline. We provide a baseline deep neural network (DNN) model trained on UaVirBASE with performance metrics including: Mean Absolute Error (MAE) of 0.5 meters for distance/height ~1 degree azimuth error <10 degrees for side (orientation) error UaVirBASE is intended to support reproducible research and development in acoustic-based SSL, UAV surveillance, and intelligent sensing systems. This dataset fills a gap in the literature by offering a standardized benchmark specifically tailored to UAV audio-based localization tasks.Jekateryńczuk, G.; Szadkowski, R.; Piotrowski, Z. UaVirBASE: A Public-Access Unmanned Aerial Vehicle Sound Source Localization Dataset. Appl. Sci. 2025, 15, 5378. https://doi.org/10.3390/app15105378","url":"https://doi.org/10.5281/zenodo.15391924","authors":["Jekateryńczuk, Gabriel","Rafał Szadkowski","Zbigniew, Piotrowski"],"tags":["acoustics; sound source localization; audio dataset; microphone arrays; unmanned aerial vehicle"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.15391924","addedAt":"2026-08-31T06:40:05.994Z","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"doi:10.5281/zenodo.15391923","name":"UaVirBASE: A Public-Access Unmanned Aerial Vehicle Sound Source Localization Dataset","source":"datacite","abstract":"UaVirBASE is a publicly available dataset designed for the sound source localization (SSL) of unmanned aerial vehicles (UAVs) using acoustic signals. It contains synchronized multi-microphone audio recordings collected under controlled experimental conditions, featuring a wide range of UAV positions and orientations with respect to a fixed microphone array. The dataset includes variations in: Distance and altitude from the array Azimuth angles UAV orientations (front, back, left, right) These variations are critical for training robust machine learning and deep learning models for SSL in real-world UAV scenarios. Additionally, this dataset is accompanied by detailed metadata and annotation files, as well as documentation outlining the recording setup, hardware specifications, and data acquisition pipeline. We provide a baseline deep neural network (DNN) model trained on UaVirBASE with performance metrics including: Mean Absolute Error (MAE) of 0.5 meters for distance/height ~1 degree azimuth error <10 degrees for side (orientation) error UaVirBASE is intended to support reproducible research and development in acoustic-based SSL, UAV surveillance, and intelligent sensing systems. This dataset fills a gap in the literature by offering a standardized benchmark specifically tailored to UAV audio-based localization tasks.Jekateryńczuk, G.; Szadkowski, R.; Piotrowski, Z. UaVirBASE: A Public-Access Unmanned Aerial Vehicle Sound Source Localization Dataset. Appl. Sci. 2025, 15, 5378. https://doi.org/10.3390/app15105378","url":"https://doi.org/10.5281/zenodo.15391923","authors":["Jekateryńczuk, Gabriel","Rafał Szadkowski","Zbigniew, Piotrowski"],"tags":["acoustics; sound source localization; audio dataset; microphone arrays; unmanned aerial vehicle"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.15391923","addedAt":"2026-08-31T06:40:05.994Z","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"doi:10.48550/arxiv.2505.05936","name":"CGTrack: Cascade Gating Network with Hierarchical Feature Aggregation for UAV Tracking","source":"datacite","abstract":"Recent advancements in visual object tracking have markedly improved the capabilities of unmanned aerial vehicle (UAV) tracking, which is a critical component in real-world robotics applications. While the integration of hierarchical lightweight networks has become a prevalent strategy for enhancing efficiency in UAV tracking, it often results in a significant drop in network capacity, which further exacerbates challenges in UAV scenarios, such as frequent occlusions and extreme changes in viewing angles. To address these issues, we introduce a novel family of UAV trackers, termed CGTrack, which combines explicit and implicit techniques to expand network capacity within a coarse-to-fine framework. Specifically, we first introduce a Hierarchical Feature Cascade (HFC) module that leverages the spirit of feature reuse to increase network capacity by integrating the deep semantic cues with the rich spatial information, incurring minimal computational costs while enhancing feature representation. Based on this, we design a novel Lightweight Gated Center Head (LGCH) that utilizes gating mechanisms to decouple target-oriented coordinates from previously expanded features, which contain dense local discriminative information. Extensive experiments on three challenging UAV tracking benchmarks demonstrate that CGTrack achieves state-of-the-art performance while running fast. Code will be available at https://github.com/Nightwatch-Fox11/CGTrack.","url":"https://doi.org/10.48550/arxiv.2505.05936","authors":["Li, Weihong","Liu, Xiaoqiong","Fan, Heng","Zhang, Libo"],"tags":["Computer Vision and Pattern Recognition (cs.CV)","FOS: Computer and information sciences","FOS: Computer and information sciences"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.48550/arxiv.2505.05936","addedAt":"2026-08-31T06:40:05.994Z","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"doi:10.48550/arxiv.2505.04917","name":"A Simple Detector with Frame Dynamics is a Strong Tracker","source":"datacite","abstract":"Infrared object tracking plays a crucial role in Anti-Unmanned Aerial Vehicle (Anti-UAV) applications. Existing trackers often depend on cropped template regions and have limited motion modeling capabilities, which pose challenges when dealing with tiny targets. To address this, we propose a simple yet effective infrared tiny-object tracker that enhances tracking performance by integrating global detection and motion-aware learning with temporal priors. Our method is based on object detection and achieves significant improvements through two key innovations. First, we introduce frame dynamics, leveraging frame difference and optical flow to encode both prior target features and motion characteristics at the input level, enabling the model to better distinguish the target from background clutter. Second, we propose a trajectory constraint filtering strategy in the post-processing stage, utilizing spatio-temporal priors to suppress false positives and enhance tracking robustness. Extensive experiments show that our method consistently outperforms existing approaches across multiple metrics in challenging infrared UAV tracking scenarios. Notably, we achieve state-of-the-art performance in the 4th Anti-UAV Challenge, securing 1st place in Track 1 and 2nd place in Track 2.","url":"https://doi.org/10.48550/arxiv.2505.04917","authors":["Peng, Chenxu","Wang, Chenxu","Zou, Minrui","Li, Danyang","Yang, Zhengpeng","Dai, Yimian","Cheng, Ming-Ming","Li, Xiang"],"tags":["Computer Vision and Pattern Recognition (cs.CV)","FOS: Computer and information sciences","FOS: Computer and information sciences"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.48550/arxiv.2505.04917","addedAt":"2026-08-31T06:40:05.994Z","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"doi:10.48550/arxiv.2505.00995","name":"Optimizing Indoor Farm Monitoring Efficiency Using UAV: Yield Estimation in a GNSS-Denied Cherry Tomato Greenhouse","source":"datacite","abstract":"As the agricultural workforce declines and labor costs rise, robotic yield estimation has become increasingly important. While unmanned ground vehicles (UGVs) are commonly used for indoor farm monitoring, their deployment in greenhouses is often constrained by infrastructure limitations, sensor placement challenges, and operational inefficiencies. To address these issues, we develop a lightweight unmanned aerial vehicle (UAV) equipped with an RGB-D camera, a 3D LiDAR, and an IMU sensor. The UAV employs a LiDAR-inertial odometry algorithm for precise navigation in GNSS-denied environments and utilizes a 3D multi-object tracking algorithm to estimate the count and weight of cherry tomatoes. We evaluate the system using two dataset: one from a harvesting row and another from a growing row. In the harvesting-row dataset, the proposed system achieves 94.4\\% counting accuracy and 87.5\\% weight estimation accuracy within a 13.2-meter flight completed in 10.5 seconds. For the growing-row dataset, which consists of occluded unripened fruits, we qualitatively analyze tracking performance and highlight future research directions for improving perception in greenhouse with strong occlusions. Our findings demonstrate the potential of UAVs for efficient robotic yield estimation in commercial greenhouses.","url":"https://doi.org/10.48550/arxiv.2505.00995","authors":["Park, Taewook","Lee, Jinwoo","Oh, Hyondong","Yun, Won-Jae","Lee, Kyu-Wha"],"tags":["Robotics (cs.RO)","Computer Vision and Pattern Recognition (cs.CV)","FOS: Computer and information sciences","FOS: Computer and information sciences"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.48550/arxiv.2505.00995","addedAt":"2026-08-31T06:40:05.994Z","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"doi:10.21227/vv88-6k23","name":"\"UAVIDS-2025: A Benchmark Dataset for Intrusion Detection in UAV Networks Using Machine Learning Techniques\"","source":"datacite","abstract":"\"Abstract \\/ Dataset DescriptionUAVIDS-2025 is a comprehensive benchmark dataset designed for evaluating intrusion detection systems (IDS) in UAV (Unmanned Aerial Vehicle) swarm networks. The dataset was generated through extensive simulations using the NS-3.24 network simulator, with realistic UAV mobility modeled by an extended BOID algorithm. It includes 122,171 labeled flow records across five traffic categories: Normal, Blackhole, Flooding, Sybil, and Wormhole attacks.Each data sample represents a network flow characterized by 22 features, grouped into connection, traffic volume, and performance metrics. The simulations were configured with IEEE 802.11ac wireless standards, AODV routing, and a Nakagami channel model to ensure realism. This dataset enables the evaluation of machine learning-based IDS under various scenarios, including imbalanced attack distributions and swarm mobility.The dataset supports research in:Supervised\\/unsupervised intrusion detectionFederated learning and decentralized securityAdversarial robustness and synthetic data generationUAVIDS-2025 is intended to provide a reproducible, scalable, and diverse testbed for the research community working on the security of UAV networks.\"","url":"https://doi.org/10.21227/vv88-6k23","authors":["anonymous researcher anonymous researcher"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.21227/vv88-6k23","addedAt":"2026-08-31T06:40:05.994Z","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"doi:10.21227/j5p4-zt27","name":"\"UAVIDS-2025: A Benchmark Dataset for Intrusion Detection in UAV Networks Using Machine Learning Techniques\"","source":"datacite","abstract":"\"Abstract \\/ Dataset DescriptionUAVIDS-2025 is a comprehensive benchmark dataset designed for evaluating intrusion detection systems (IDS) in UAV (Unmanned Aerial Vehicle) swarm networks. The dataset was generated through extensive simulations using the NS-3.24 network simulator, with realistic UAV mobility modeled by an extended BOID algorithm. It includes 122,171 labeled flow records across five traffic categories: Normal, Blackhole, Flooding, Sybil, and Wormhole attacks.Each data sample represents a network flow characterized by 22 features, grouped into connection, traffic volume, and performance metrics. The simulations were configured with IEEE 802.11ac wireless standards, AODV routing, and a Nakagami channel model to ensure realism. This dataset enables the evaluation of machine learning-based IDS under various scenarios, including imbalanced attack distributions and swarm mobility.The dataset supports research in:Supervised\\/unsupervised intrusion detectionFederated learning and decentralized securityAdversarial robustness and synthetic data generationUAVIDS-2025 is intended to provide a reproducible, scalable, and diverse testbed for the research community working on the security of UAV networks.\"","url":"https://doi.org/10.21227/j5p4-zt27","authors":["Qingli Zeng","Farid Nait-Abdesselam","Abdalrahman Bashir"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.21227/j5p4-zt27","addedAt":"2026-08-31T06:40:05.994Z","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"doi:10.18130/rknm-8h79","name":"AIAA Homeland Defense Interceptor Design Competition : The Influence of Gender & Race on Women in Engineering","source":"datacite","abstract":"Engineering work often exists at the intersection of technical innovation and social responsibility. My two recent projects—a research initiative focused on mitigating the impacts of personal privilege in engineering and a team-based submission to the American Institute of Aeronautics and Astronautics (AIAA) undergraduate design competition demonstrates how a socio-technical perspective can enrich different domains of engineering. While these projects differ in content and approach, both examine how engineering can be more equitable, sustainable, and responsive to specific human contexts. My research project aimed to explore how layers of personal privilege, related to race and gender, can silently shape the engineering workplace and academic environments. As a white woman, I wanted to explore how I could mitigate the negative impacts on my fellow female engineers, but found that the blatant lack of resources comparing the experiences of white women against women of color in engineering was significant. I pivoted to an approach focused on educating white women about their privilege and how, in a society that still considers white women as \"diversity hires,\" DEI remains essential in engineering, not only to increase diversity but also to improve technical advancements that suffer when engineers continue to be predominantly male and white. Privilege often manifests in subtle but powerful ways: who gets hired, who speaks in meetings, whose ideas are implemented, and who gets credit for successes. To address this, my research examined existing literature on diversity and inclusion in STEM and drew from theories in social science and engineering ethics. The key concepts I explored were tokenism/spotlighting, systemic barriers exacerbated by white women's proximity to white men, and the lack of belonging in the female engineering community, especially among women of color. Through this work, I discovered how difficult it is to persist in engineering when you are constantly upheld for your differences and isolated from the rest of your professional community—and that all engineers must be conscious of how their backgrounds and assumptions influence their work. The project not only deepened my awareness of systemic dynamics within engineering workplaces but also reinforced the importance of critical self-awareness as a tool for improving both team dynamics and engineering outcomes. Concurrently, my team participated in the AIAA 2025 Undergraduate Design Competition, where we were tasked with designing an Autonomous Homeland Interceptor—creating a cost-effective, unmanned aerial vehicle capable of detecting, intercepting, and neutralizing hostile airborne threats within U.S. airspace. Our design emphasized optimizing aerodynamic properties through the aircraft's modular aerospace architecture and ensuring affordability within the constraints of government-furnished equipment. We carefully evaluated system requirements, including speed, range, payload capacity, and guidance capabilities. The project demanded attention not only to aerodynamics and propulsion but also to ethical and strategic considerations, such as minimizing collateral damage, safeguarding civilian airspace, and ensuring responsible use of autonomous decision-making in military contexts, especially given the domestic setting. We employed systems engineering methodologies to balance trade-offs between cost, performance, and reliability, aiming to maximize the budget while exceeding expectations. Throughout the project, we also discussed how trust in autonomous systems—especially those used in defense—depends heavily on redundancy, particularly when the system’s primary use involves intercepting enemy attacks with missiles. At first glance, these two projects seem to inhabit different worlds: one focused on human dynamics in the workplace, the other on aerospace systems for national defense. However, both share a common foundation in sociotechnical awareness due to the cr","url":"https://doi.org/10.18130/rknm-8h79","authors":["Savannah Hafer"],"tags":["racism","feminsim","white feminism","delusional white people","women in engineering","women of color in engineering"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.18130/rknm-8h79","addedAt":"2026-08-31T06:40:05.994Z","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"doi:10.48550/arxiv.2504.21428","name":"UAV Marketplace Simulation Tool for BVLOS Operations","source":"datacite","abstract":"We present a simulation tool for evaluating team formation in autonomous multi-UAV (Unmanned Aerial Vehicle) missions that operate Beyond Visual Line of Sight (BVLOS). The tool models UAV collaboration and mission execution in dynamic and adversarial conditions, where Byzantine UAVs attempt to disrupt operations. Our tool allows researchers to integrate and compare various team formation strategies in a controlled environment with configurable mission parameters and adversarial behaviors. The log of each simulation run is stored in a structured way along with performance metrics so that statistical analysis could be done straightforwardly. The tool is versatile for testing and improving UAV coordination strategies in real-world applications.","url":"https://doi.org/10.48550/arxiv.2504.21428","authors":["Şerefoğlu, Kıvanç","Gürcan, Önder","Aydoğan, Reyhan"],"tags":["Robotics (cs.RO)","Artificial Intelligence (cs.AI)","Distributed, Parallel, and Cluster Computing (cs.DC)","FOS: Computer and information sciences","FOS: Computer and information sciences"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.48550/arxiv.2504.21428","addedAt":"2026-08-31T06:40:05.994Z","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"doi:10.5281/zenodo.14924609","name":"Geospatial maps of seagrass meadows in the Algarve region from: Seagrasses in coastal wetlands of the Algarve region (southern Portugal): past and present distribution and extent","source":"datacite","abstract":"This publication contains geospatial maps generated from the study \"Seagrasses in coastal wetlands of the Algarve region (Southern Portugal): past and present distribution and extent\" published in 2025 (Journal of Sea Research, 205, 102580; https://doi.org/10.1016/j.seares.2025.102580). The maps depict the spatial distribution of intertidal (Zostera noltei) and subtidal (Cymodocea nodosa and Zostera marina) seagrass meadows, based on observations made from 2017 to 2020 in the Ria Formosa (with a resolution of 3 meters) and from 2023 in the Guadiana estuary. No well-developed seagrass meadows were identified in the other two studied wetlands: Ria de Alvor and the Arade estuary. The Ria Formosa map was produced by combining manual and machine learning techniques, using spatial data from unmanned aerial vehicle (UAV) and satellite imagery, field data, and digital elevation models (see full description of the methods at https://github.com/paulaito/seagrass_classification). The Guadiana estuary map was generated using manual techniques, based on UAV imagery and field data. The maps are provided in geopackage format and include metadata with the following details: fid [integer] – unique identifier of the polygon. habitat_class [factor] – type of seagrass meadow: intertidal or subtidal. system [character] – name of the system where it was mapped. x [numeric] – longitude of the polygon centroid, in meters, using the CRS EPSG:3763 - ETRS89 / Portugal TM06. y [numeric] – latitude of the polygon centroid, in meters, using the CRS EPSG:3763 - ETRS89 / Portugal TM06. area_m2 [numeric] – area of the polygon, in square meters. Maps are also provided as png.","url":"https://doi.org/10.5281/zenodo.14924609","authors":["Ito, Paula","Martins, Márcio","von Sachsen-Coburg und Gotha, Simon","Santos, Rui","de los Santos, Carmen B."],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.14924609","addedAt":"2026-08-31T06:40:05.994Z","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"doi:10.5281/zenodo.13907367","name":"Geospatial maps of seagrass meadows in the Algarve region from: Seagrasses in coastal wetlands of the Algarve region (southern Portugal): past and present distribution and extent","source":"datacite","abstract":"This publication contains geospatial maps generated from the study \"Seagrasses in coastal wetlands of the Algarve region (Southern Portugal): past and present distribution and extent\" published in 2025 (Journal of Sea Research, 205, 102580; https://doi.org/10.1016/j.seares.2025.102580). The maps depict the spatial distribution of intertidal (Zostera noltei) and subtidal (Cymodocea nodosa and Zostera marina) seagrass meadows, based on observations made from 2017 to 2020 in the Ria Formosa (with a resolution of 3 meters) and from 2023 in the Guadiana estuary. No well-developed seagrass meadows were identified in the other two studied wetlands: Ria de Alvor and the Arade estuary. The Ria Formosa map was produced by combining manual and machine learning techniques, using spatial data from unmanned aerial vehicle (UAV) and satellite imagery, field data, and digital elevation models (see full description of the methods at https://github.com/paulaito/seagrass_classification). The Guadiana estuary map was generated using manual techniques, based on UAV imagery and field data. The maps are provided in geopackage format and include metadata with the following details: fid [integer] – unique identifier of the polygon. habitat_class [factor] – type of seagrass meadow: intertidal or subtidal. system [character] – name of the system where it was mapped. x [numeric] – longitude of the polygon centroid, in meters, using the CRS EPSG:3763 - ETRS89 / Portugal TM06. y [numeric] – latitude of the polygon centroid, in meters, using the CRS EPSG:3763 - ETRS89 / Portugal TM06. area_m2 [numeric] – area of the polygon, in square meters. Maps are also provided as png.","url":"https://doi.org/10.5281/zenodo.13907367","authors":["Ito, Paula","Martins, Márcio","von Sachsen-Coburg und Gotha, Simon","Santos, Rui","de los Santos, Carmen B."],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.13907367","addedAt":"2026-08-31T06:40:05.994Z","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"doi:10.48550/arxiv.2504.13088","name":"Imperative MPC: An End-to-End Self-Supervised Learning with Differentiable MPC for UAV Attitude Control","source":"datacite","abstract":"Modeling and control of nonlinear dynamics are critical in robotics, especially in scenarios with unpredictable external influences and complex dynamics. Traditional cascaded modular control pipelines often yield suboptimal performance due to conservative assumptions and tedious parameter tuning. Pure data-driven approaches promise robust performance but suffer from low sample efficiency, sim-to-real gaps, and reliance on extensive datasets. Hybrid methods combining learning-based and traditional model-based control in an end-to-end manner offer a promising alternative. This work presents a self-supervised learning framework combining learning-based inertial odometry (IO) module and differentiable model predictive control (d-MPC) for Unmanned Aerial Vehicle (UAV) attitude control. The IO denoises raw IMU measurements and predicts UAV attitudes, which are then optimized by MPC for control actions in a bi-level optimization (BLO) setup, where the inner MPC optimizes control actions and the upper level minimizes discrepancy between real-world and predicted performance. The framework is thus end-to-end and can be trained in a self-supervised manner. This approach combines the strength of learning-based perception with the interpretable model-based control. Results show the effectiveness even under strong wind. It can simultaneously enhance both the MPC parameter learning and IMU prediction performance.","url":"https://doi.org/10.48550/arxiv.2504.13088","authors":["He, Haonan","Qiu, Yuheng","Geng, Junyi"],"tags":["Robotics (cs.RO)","Systems and Control (eess.SY)","FOS: Computer and information sciences","FOS: Computer and information sciences","FOS: Electrical engineering, electronic engineering, information engineering","FOS: Electrical engineering, electronic engineering, information engineering"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.48550/arxiv.2504.13088","addedAt":"2026-08-31T06:40:05.994Z","updatedAt":"2026-08-31T06:40:05.994Z"},{"id":"doi:10.48550/arxiv.2410.22816","name":"Advancing Manipulation Capabilities of a UAV Featuring Dynamic Center-of-Mass Displacement","source":"datacite","abstract":"As aerial robots gain traction in industrial applications, there is growing interest in enhancing their physical interaction capabilities. Pushing tasks performed by aerial manipulators have been successfully demonstrated in contact-based inspections. However, more complex industrial applications require these systems to support higher-DoF (Degree of Freedom) manipulators and generate larger forces while pushing (e.g., drilling, grinding). This paper builds on our previous work, where we introduced an aerial vehicle that can dynamically vary its CoM (Center of Mass) location to improve force exertion during interactions. We propose a novel approach to further enhance this system's force generation by optimizing its CoM location during interactions. Additionally, we study the case of this aerial vehicle equipped with a 2-DoF manipulation arm to extend the system's functionality in tool-based tasks. The effectiveness of the proposed methods is validated through simulations, demonstrating the potential of this system for advanced aerial manipulation in practical settings.","url":"https://doi.org/10.48550/arxiv.2410.22816","authors":["Hui, Tong","Fumagalli, Matteo"],"tags":["Robotics (cs.RO)","FOS: Computer and information sciences","FOS: Computer and information sciences"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.48550/arxiv.2410.22816","addedAt":"2026-08-31T06:40:05.994Z","updatedAt":"2026-08-31T06:40:05.995Z"},{"id":"doi:10.48550/arxiv.2503.06494","name":"UAV-Assisted Coverage Hole Detection Using Reinforcement Learning in Urban Cellular Networks","source":"datacite","abstract":"Deployment of cellular networks in urban areas requires addressing various challenges. For example, high-rise buildings with varying geometrical shapes and heights contribute to signal attenuation, reflection, diffraction, and scattering effects. This creates a high possibility of coverage holes (CHs) within the proximity of the buildings. Detecting these CHs is critical for network operators to ensure quality of service, as customers in these areas may experience weak or no signal reception. To address this challenge, we propose an approach using an autonomous vehicle, such as an unmanned aerial vehicle (UAV), to detect CHs, for minimizing drive test efforts and reducing human labor. The UAV leverages reinforcement learning (RL) to find CHs using stored local building maps, its current location, and measured signal strengths. As the UAV moves, it dynamically updates its knowledge of the signal environment and its direction to a nearby CH while avoiding collisions with buildings. We created a wide range of testing scenarios using building maps from OpenStreetMap and signal strength data generated by NVIDIA Sionna raytracing simulations. The results show that the RL-based approach outperforms non-machine learning, geometry-based methods in detecting CHs in urban areas. Additionally, even with a limited number of UAV measurements, the method achieves performance close to theoretical upper bounds that assume complete knowledge of all signal strengths.","url":"https://doi.org/10.48550/arxiv.2503.06494","authors":["Rahman, Mushfiqur","Guvenc, Ismail","Ramirez, David","Wong, Chau-Wai"],"tags":["Signal Processing (eess.SP)","FOS: Electrical engineering, electronic engineering, information engineering","FOS: Electrical engineering, electronic engineering, information engineering"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.48550/arxiv.2503.06494","addedAt":"2026-08-31T06:40:05.995Z","updatedAt":"2026-08-31T06:40:05.995Z"},{"id":"doi:10.48550/arxiv.2503.24301","name":"QUADRO: A Hybrid Quantum Optimization Framework for Drone Delivery","source":"datacite","abstract":"Quantum computing holds transformative potential for optimizing large-scale drone fleet operations, yet its near-term limitations necessitate hybrid approaches blending classical and quantum techniques. This work introduces Quantum Unmanned Aerial Delivery Routing Optimization (QUADRO), a novel hybrid framework addressing the Energy-Constrained Capacitated Unmanned Aerial Vehicle Routing Problem and the Unmanned Aerial Vehicle Scheduling Problem. By formulating these challenges as Quadratic Unconstrained Binary Optimization problems, QUADRO leverages the Quantum Approximate Optimization Algorithm for routing and scheduling, enhanced by classical heuristics and post-processing. We minimize total transit time in routing, considering payload and battery constraints, and optimize makespan scheduling across various drone fleets. Evaluated on adapted Augerat benchmarks (16-51 nodes), QUADRO competes against classical and prior hybrid methods, achieving scalable solutions with fewer than one hundred qubits. The proposed results underscore the viability of hybrid quantum-classical strategies for real-world drone logistics, paving the way for quantum-enhanced optimization in the Noisy Intermediate Scale Quantum era.","url":"https://doi.org/10.48550/arxiv.2503.24301","authors":["Holliday, James B.","Blount, Darren","Nguyen, Hoang Quan","Khan, Samee U.","Luu, Khoa"],"tags":["Emerging Technologies (cs.ET)","FOS: Computer and information sciences","FOS: Computer and information sciences"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.48550/arxiv.2503.24301","addedAt":"2026-08-31T06:40:05.995Z","updatedAt":"2026-08-31T06:40:05.995Z"},{"id":"doi:10.48550/arxiv.2503.07438","name":"Sum-of-Squares Data-driven Robustly Stabilizing and Contracting Controller Synthesis for Polynomial Nonlinear Systems","source":"datacite","abstract":"This work presents a computationally efficient approach to data-driven robust contracting controller synthesis for polynomial control-affine systems based on a sum-of-squares program. In particular, we consider the case in which a system alternates between periods of high-quality sensor data and low-quality sensor data. In the high-quality sensor data regime, we focus on robust system identification based on the data informativity framework. In low-quality sensor data regimes we employ a robustly contracting controller that is synthesized online by solving a sum-of-squares program based on data acquired in the high-quality regime, so as to limit state deviation until high-quality data is available. This approach is motivated by real-life control applications in which systems experience periodic data blackouts or occlusion, such as autonomous vehicles undergoing loss of GPS signal or solar glare in machine vision systems. We apply our approach to a planar unmanned aerial vehicle model subject to an unknown wind field, demonstrating its uses for verifiably tight control on trajectory deviation.","url":"https://doi.org/10.48550/arxiv.2503.07438","authors":["El-Kebir, Hamza","Ornik, Melkior"],"tags":["Systems and Control (eess.SY)","FOS: Electrical engineering, electronic engineering, information engineering","FOS: Electrical engineering, electronic engineering, information engineering"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.48550/arxiv.2503.07438","addedAt":"2026-08-31T06:40:05.995Z","updatedAt":"2026-08-31T06:40:05.995Z"},{"id":"doi:10.48550/arxiv.2503.04698","name":"DEAL-YOLO: Drone-based Efficient Animal Localization using YOLO","source":"datacite","abstract":"Although advances in deep learning and aerial surveillance technology are improving wildlife conservation efforts, complex and erratic environmental conditions still pose a problem, requiring innovative solutions for cost-effective small animal detection. This work introduces DEAL-YOLO, a novel approach that improves small object detection in Unmanned Aerial Vehicle (UAV) images by using multi-objective loss functions like Wise IoU (WIoU) and Normalized Wasserstein Distance (NWD), which prioritize pixels near the centre of the bounding box, ensuring smoother localization and reducing abrupt deviations. Additionally, the model is optimized through efficient feature extraction with Linear Deformable (LD) convolutions, enhancing accuracy while maintaining computational efficiency. The Scaled Sequence Feature Fusion (SSFF) module enhances object detection by effectively capturing inter-scale relationships, improving feature representation, and boosting metrics through optimized multiscale fusion. Comparison with baseline models reveals high efficacy with up to 69.5\\% fewer parameters compared to vanilla Yolov8-N, highlighting the robustness of the proposed modifications. Through this approach, our paper aims to facilitate the detection of endangered species, animal population analysis, habitat monitoring, biodiversity research, and various other applications that enrich wildlife conservation efforts. DEAL-YOLO employs a two-stage inference paradigm for object detection, refining selected regions to improve localization and confidence. This approach enhances performance, especially for small instances with low objectness scores.","url":"https://doi.org/10.48550/arxiv.2503.04698","authors":["Naidu, Aditya Prashant","Gosalia, Hem","Gakhar, Ishaan","Rathore, Shaurya Singh","Didwania, Krish","Verma, Ujjwal"],"tags":["Computer Vision and Pattern Recognition (cs.CV)","FOS: Computer and information sciences","FOS: Computer and information sciences"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.48550/arxiv.2503.04698","addedAt":"2026-08-31T06:40:05.995Z","updatedAt":"2026-08-31T06:40:05.995Z"},{"id":"doi:10.48550/arxiv.2502.01035","name":"UASTHN: Uncertainty-Aware Deep Homography Estimation for UAV Satellite-Thermal Geo-localization","source":"datacite","abstract":"Geo-localization is an essential component of Unmanned Aerial Vehicle (UAV) navigation systems to ensure precise absolute self-localization in outdoor environments. To address the challenges of GPS signal interruptions or low illumination, Thermal Geo-localization (TG) employs aerial thermal imagery to align with reference satellite maps to accurately determine the UAV's location. However, existing TG methods lack uncertainty measurement in their outputs, compromising system robustness in the presence of textureless or corrupted thermal images, self-similar or outdated satellite maps, geometric noises, or thermal images exceeding satellite maps. To overcome these limitations, this paper presents UASTHN, a novel approach for Uncertainty Estimation (UE) in Deep Homography Estimation (DHE) tasks for TG applications. Specifically, we introduce a novel Crop-based Test-Time Augmentation (CropTTA) strategy, which leverages the homography consensus of cropped image views to effectively measure data uncertainty. This approach is complemented by Deep Ensembles (DE) employed for model uncertainty, offering comparable performance with improved efficiency and seamless integration with any DHE model. Extensive experiments across multiple DHE models demonstrate the effectiveness and efficiency of CropTTA in TG applications. Analysis of detected failure cases underscores the improved reliability of CropTTA under challenging conditions. Finally, we demonstrate the capability of combining CropTTA and DE for a comprehensive assessment of both data and model uncertainty. Our research provides profound insights into the broader intersection of localization and uncertainty estimation. The code and models are publicly available.","url":"https://doi.org/10.48550/arxiv.2502.01035","authors":["Xiao, Jiuhong","Loianno, Giuseppe"],"tags":["Robotics (cs.RO)","Computer Vision and Pattern Recognition (cs.CV)","FOS: Computer and information sciences","FOS: Computer and information sciences"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.48550/arxiv.2502.01035","addedAt":"2026-08-31T06:40:05.995Z","updatedAt":"2026-08-31T06:40:05.995Z"},{"id":"doi:10.48550/arxiv.2502.02311","name":"MAGNNET: Multi-Agent Graph Neural Network-based Efficient Task Allocation for Autonomous Vehicles with Deep Reinforcement Learning","source":"datacite","abstract":"This paper addresses the challenge of decentralized task allocation within heterogeneous multi-agent systems operating under communication constraints. We introduce a novel framework that integrates graph neural networks (GNNs) with a centralized training and decentralized execution (CTDE) paradigm, further enhanced by a tailored Proximal Policy Optimization (PPO) algorithm for multi-agent deep reinforcement learning (MARL). Our approach enables unmanned aerial vehicles (UAVs) and unmanned ground vehicles (UGVs) to dynamically allocate tasks efficiently without necessitating central coordination in a 3D grid environment. The framework minimizes total travel time while simultaneously avoiding conflicts in task assignments. For the cost calculation and routing, we employ reservation-based A* and R* path planners. Experimental results revealed that our method achieves a high 92.5% conflict-free success rate, with only a 7.49% performance gap compared to the centralized Hungarian method, while outperforming the heuristic decentralized baseline based on greedy approach. Additionally, the framework exhibits scalability with up to 20 agents with allocation processing of 2.8 s and robustness in responding to dynamically generated tasks, underscoring its potential for real-world applications in complex multi-agent scenarios.","url":"https://doi.org/10.48550/arxiv.2502.02311","authors":["Ratnabala, Lavanya","Fedoseev, Aleksey","Peter, Robinroy","Tsetserukou, Dzmitry"],"tags":["Robotics (cs.RO)","Machine Learning (cs.LG)","Multiagent Systems (cs.MA)","FOS: Computer and information sciences","FOS: Computer and information sciences"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.48550/arxiv.2502.02311","addedAt":"2026-08-31T06:40:05.995Z","updatedAt":"2026-08-31T06:40:05.995Z"},{"id":"doi:10.48550/arxiv.2501.14389","name":"Empirical Line-of-Sight Probability Modeling for UAVs in Random Urban Layouts","source":"datacite","abstract":"Accurate Probability of Line-of-Sight (PLoS) modeling is important in evaluating the performance of Unmanned Aerial Vehicle (UAV)-based communication systems in urban environments, where real-time communication and low latency are often major requirements. Existing PLoS models often rely on simplified Manhattan grid layouts using International Telecommunication Union (ITU)-defined built-up parameters, which may not reflect the randomness of real cities. Therefore, this paper introduces the Urban LoS Simulator (ULS) to model PLoS for three random city layouts with varying building sizes and shapes constructed using ITU built-up parameters. Based on the ULS simulated data, we obtained the empirical PLoS for four standard urban environments across three different city layouts. Finally, we analyze how well Manhattan grid-based models replicate PLoS results from random and real-world layouts, providing insights into their applicability for time-critical communication systems in urban IoT networks.","url":"https://doi.org/10.48550/arxiv.2501.14389","authors":["Saboor, Abdul","Cui, Zhuangzhuang","Vinogradov, Evgenii","Pollin, Sofie"],"tags":["Networking and Internet Architecture (cs.NI)","FOS: Computer and information sciences","FOS: Computer and information sciences"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.48550/arxiv.2501.14389","addedAt":"2026-08-31T06:40:05.995Z","updatedAt":"2026-08-31T06:40:05.995Z"},{"id":"doi:10.48550/arxiv.2411.11998","name":"Uncertainty Propagation and Minimization for Channel Estimation in UAV-mounted RIS Systems","source":"datacite","abstract":"Reconfigurable Intelligent Surfaces (RIS) are emerging as a key technology for sixth-generation (6G) wireless networks, leveraging adjustable reflecting elements to dynamically control electromagnetic wave propagation and optimize wireless connectivity. By positioning the RIS on an unmanned aerial vehicle (UAV), it can maintain line-of-sight and proximity to both the transmitter and receiver, critical factors that mitigate path loss and enhance signal strength. The lightweight, power-efficient nature of RIS makes UAV integration feasible, yet the setup faces significant disturbances from UAV motion, which can degrade RIS alignment and link performance. In this study, we address these challenges using both experimental measurements and analytical methods. Using an extended Kalman filter (EKF), we estimate the UAV's orientation in real time during experimental flights to capture real disturbance effects. The resulting orientation uncertainty is then propagated to the RIS's channel estimates by applying the Guide to the Expression of Uncertainty in Measurement (GUM) framework as well as complex-valued propagation techniques to accurately assess and minimize the impact of UAV orientation uncertainties on RIS performance. This method enables us to systematically trace and quantify how orientation uncertainties affect channel gain and phase stability in real-time. Through numerical simulations, we find that the uncertainty of the RIS channel link is influenced by the RIS's configuration. Furthermore, our results demonstrate that the uncertainty area is most accurately represented by an annular section, enabling a 58% reduction in the uncertainty area while maintaining a 95% coverage probability.","url":"https://doi.org/10.48550/arxiv.2411.11998","authors":["Weinberger, Kevin","Müller, David","Mönnigmann, Martin","Sezgin, Aydin"],"tags":["Systems and Control (eess.SY)","FOS: Electrical engineering, electronic engineering, information engineering","FOS: Electrical engineering, electronic engineering, information engineering"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.48550/arxiv.2411.11998","addedAt":"2026-08-31T06:40:05.995Z","updatedAt":"2026-08-31T06:40:05.995Z"},{"id":"doi:10.60692/5ftqd-06w17","name":"NEW INITIATIVE OF UNMANNED AERIAL VEHICLE (UAV) EMERGING TECHNOLOGY APPLICATIONS IN NORTH EAST FOR CAPACITY BUILDING AND OUTREACH ACTIVITIES OF NORTH EASTERN SPACE APPLICATIONS CENTRE","source":"datacite","abstract":"Abstract. Unmanned Aerial Vehicle (UAV) technology is revolutionizing and acting as an alternative for many of remote sensing applications, particularly for very high resolution satellite requirements, considering easy of flying in the areas of persistent cloud cover like North East. According to top market reports, UAV business is growing at very fast rate. It is valued at USD 18.14 Billion in 2017 and is projected to reach USD 52.30 Billion by 2025, at a CAGR of 14.15% from 2018 to 2025.North Eastern Space Applications Centre, Umiam, Shillong, Meghalaya, which is responsible for promoting space technology tools for governance and development activities; has taken up a lead role in initiating use of Unmanned Aerial Vehicle for large number of applications such as natural resources management, infrastructure development, disaster response and rescue, project monitoring, research and development etc. Capacity building, training and outreach are important activities taken up by NESAC for promoting use of UAV remote sensing at central/state/academic/research institutions and individual level. As part of capacity building, NESAC has successfully organized two 2 weeks training program for UAV Remote sensing & Applications for the participants all over the country. NESAC has also organised 1 week training programs for officials from State Remote Sensing Centres of North Eastern Region and North Eastern Council. More than 100 participants have been trained from different part of the country. The focus of the training was to include all aspects of UAV Remote Sensing applications. The details of course curriculum are: basic concepts of UAV, building of UAVs, UAV flight simulation, flight planning, UAV data processing, generation of DSM/DTM/Orthomosaic, use of UAV data for different applications in the field of Agriculture, Disaster management, Forestry, Infrastructure planning, construction monitoring etc. Pilot project is also incorporated as part of the training. Apart from training programs at NESAC, large numbers of application projects (> 60 nos.) have been successfully completed. Outreach activities are also carried out which includes exhibiting UAVs at seminars, demonstration to large no. of students, showcasing UAV capabilities at disaster drills carried out by State Disaster Management Authority (SDMA) etc. The new initiatives of UAV convinced all concerned at taking up UAV RS applications for governance and developmental activities. The full paper will discuss all the aspects of UAV technology and applications.","url":"https://doi.org/10.60692/5ftqd-06w17","authors":["P. L. N. Raju","Chirag Gupta","Victor Saikhom","S. Pandit","Abdul Qadir","Priyanka Singh","Dibyajyoti Chutia","B. K. Handique","Jonali Goswami"],"tags":["Unmanned Aerial Vehicle Communications","Aerospace Engineering","FOS: Mechanical engineering","Engineering","Physical Sciences","UAV Networks","Drone Applications","Outreach"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2018","doi":"10.60692/5ftqd-06w17","addedAt":"2026-08-31T06:40:05.995Z","updatedAt":"2026-08-31T06:40:05.995Z"},{"id":"doi:10.60692/zz4er-6sd74","name":"NEW INITIATIVE OF UNMANNED AERIAL VEHICLE (UAV) EMERGING TECHNOLOGY APPLICATIONS IN NORTH EAST FOR CAPACITY BUILDING AND OUTREACH ACTIVITIES OF NORTH EASTERN SPACE APPLICATIONS CENTRE","source":"datacite","abstract":"Abstract. Unmanned Aerial Vehicle (UAV) technology is revolutionizing and acting as an alternative for many of remote sensing applications, particularly for very high resolution satellite requirements, considering easy of flying in the areas of persistent cloud cover like North East. According to top market reports, UAV business is growing at very fast rate. It is valued at USD 18.14 Billion in 2017 and is projected to reach USD 52.30 Billion by 2025, at a CAGR of 14.15% from 2018 to 2025.North Eastern Space Applications Centre, Umiam, Shillong, Meghalaya, which is responsible for promoting space technology tools for governance and development activities; has taken up a lead role in initiating use of Unmanned Aerial Vehicle for large number of applications such as natural resources management, infrastructure development, disaster response and rescue, project monitoring, research and development etc. Capacity building, training and outreach are important activities taken up by NESAC for promoting use of UAV remote sensing at central/state/academic/research institutions and individual level. As part of capacity building, NESAC has successfully organized two 2 weeks training program for UAV Remote sensing & Applications for the participants all over the country. NESAC has also organised 1 week training programs for officials from State Remote Sensing Centres of North Eastern Region and North Eastern Council. More than 100 participants have been trained from different part of the country. The focus of the training was to include all aspects of UAV Remote Sensing applications. The details of course curriculum are: basic concepts of UAV, building of UAVs, UAV flight simulation, flight planning, UAV data processing, generation of DSM/DTM/Orthomosaic, use of UAV data for different applications in the field of Agriculture, Disaster management, Forestry, Infrastructure planning, construction monitoring etc. Pilot project is also incorporated as part of the training. Apart from training programs at NESAC, large numbers of application projects (> 60 nos.) have been successfully completed. Outreach activities are also carried out which includes exhibiting UAVs at seminars, demonstration to large no. of students, showcasing UAV capabilities at disaster drills carried out by State Disaster Management Authority (SDMA) etc. The new initiatives of UAV convinced all concerned at taking up UAV RS applications for governance and developmental activities. The full paper will discuss all the aspects of UAV technology and applications.","url":"https://doi.org/10.60692/zz4er-6sd74","authors":["P. L. N. Raju","Chirag Gupta","Victor Saikhom","S. Pandit","Abdul Qadir","Priyanka Singh","Dibyajyoti Chutia","B. K. Handique","Jonali Goswami"],"tags":["Unmanned Aerial Vehicle Communications","Aerospace Engineering","FOS: Mechanical engineering","Engineering","Physical Sciences","UAV Networks","Drone Applications","Outreach"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2018","doi":"10.60692/zz4er-6sd74","addedAt":"2026-08-31T06:40:05.995Z","updatedAt":"2026-08-31T06:40:05.995Z"},{"id":"doi:10.36227/techrxiv.23620989","name":"Distributed UAV Swarm Augmented Wideband  Spectrum Sensing Using Nyquist Folding Receiver","source":"crossref","abstract":"&lt;p&gt;Distributed unmanned aerial vehicle (UAV) swarms are formed by multiple UAVs with increased portability, higher levels of sensing capabilities, and more powerful autonomy. These features make them attractive for many recent applications, potentially increasing the shortage of spectrum resources. In this paper, wideband spectrum sensing augmented technology is discussed for distributed UAV swarms to improve the utilization of spectrum. However, the sub-Nyquist sampling applied in existing schemes has high hardware complexity, power consumption, and low recovery efficiency for non-strictly sparse conditions. Thus, the Nyquist folding receiver (NYFR) is considered for the distributed UAV swarms, which can theoretically achieve full-band spectrum detection and reception using a single analog-to-digital converter (ADC) at low speed for all circuit components. There is a focus on the sensing model of two multichannel scenarios for the distributed UAV swarms, one with a complete functional receiver for the UAV swarm with RIS, and another with a decentralized UAV swarm equipped with a complete functional receiver for each UAV element. The key issue is to consider whether the application of RIS technology will bring advantages to spectrum sensing and the data fusion problem of decentralized UAV swarms based on the NYFR architecture. Therefore, the property for multiple pulse reconstruction is analyzed through the Gershgorin circle theorem, especially for very short pulses. Further, the block sparse recovery property is analyzed for wide bandwidth signals. The proposed technology can improve the processing capability for multiple signals and wide bandwidth signals while reducing interference from folded noise and subsampled harmonics. Experiment results show augmented spectrum sensing efficiency under non-strictly sparse conditions. &lt;/p&gt;","url":"https://doi.org/10.36227/techrxiv.23620989","authors":["Kaili Jiang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-07-10T07:26:02Z","doi":"10.36227/techrxiv.23620989","addedAt":"2026-08-31T06:40:08.029Z","updatedAt":"2026-08-31T06:40:09.763Z"},{"id":"doi:10.36227/techrxiv.23620989.v1","name":"Distributed UAV Swarm Augmented Wideband Spectrum Sensing Using Nyquist Folding Receiver","source":"crossref","abstract":"Distributed unmanned aerial vehicle (UAV) swarms are formed by multiple UAVs with increased portability, higher levels of sensing capabilities, and more powerful autonomy. These features make them attractive for many recent applications, potentially increasing the shortage of spectrum resources. In this paper, wideband spectrum sensing augmented technology is discussed for distributed UAV swarms to improve the utilization of spectrum. However, the sub-Nyquist sampling applied in existing schemes has high hardware complexity, power consumption, and low recovery efficiency for non-strictly sparse conditions. Thus, the Nyquist folding receiver (NYFR) is considered for the distributed UAV swarms, which can theoretically achieve full-band spectrum detection and reception using a single analog-to-digital converter (ADC) at low speed for all circuit components. There is a focus on the sensing model of two multichannel scenarios for the distributed UAV swarms, one with a complete functional receiver for the UAV swarm with RIS, and another with a decentralized UAV swarm equipped with a complete functional receiver for each UAV element. The key issue is to consider whether the application of RIS technology will bring advantages to spectrum sensing and the data fusion problem of decentralized UAV swarms based on the NYFR architecture. Therefore, the property for multiple pulse reconstruction is analyzed through the Gershgorin circle theorem, especially for very short pulses. Further, the block sparse recovery property is analyzed for wide bandwidth signals. The proposed technology can improve the processing capability for multiple signals and wide bandwidth signals while reducing interference from folded noise and subsampled harmonics. Experiment results show augmented spectrum sensing efficiency under non-strictly sparse conditions.","url":"https://doi.org/10.36227/techrxiv.23620989.v1","authors":["Kaili Jiang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-07-10T03:25:59Z","doi":"10.36227/techrxiv.23620989.v1","addedAt":"2026-08-31T06:40:08.029Z","updatedAt":"2026-08-31T06:40:09.763Z"},{"id":"doi:10.20944/preprints202608.0385.v1","name":"Synergetic Control Framework for Autonomous UAV Swarm Coordination","source":"europepmc","abstract":"This study presents a synergetic control approach for coordinating the motion of a UAV swarm based on self-organization principles and energy-potential interactions. The proposed method effectively addresses the known limitations of traditional potential field techniques. A procedure for synthesizing synergetic control of swarm motion is developed using a virtual force field with symmetric attraction and repulsion functions, enabling natural collision avoidance and stable formation maintenance. Damping terms are incorporated into the equations of motion to eliminate self-oscillations and ensure asymptotic stability. A synergetic controller based on virtual-pendulum meters is introduced to prevent stagnation. The curse of dimensionality is mitigated by a specialized mathematical framework, as confirmed by simulations. The swarm-formation time increases sublinearly with the number of UAVs, highlighting the scalability of the approach. A modeling study of swarm self-organization reveals three characteristic phases: chaotic motions, transitional reconfiguration, and ordered swarm behavior. The formation process corresponds to a gradual minimization of inter-UAV interaction energy, while stable collective motion is achieved by maintaining a constant polarization of vehicle heading angles. Simulations also identify parameter ranges that provide optimal synergetic properties during swarm formation and coordinated movement. The findings are further validated through real-world experimental tests of swarm control.","url":"https://doi.org/10.20944/preprints202608.0385.v1","authors":["Valerii Chepizhenko","Svitlana Pavlova","Fuzhong Li"],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.20944/preprints202608.0385.v1","addedAt":"2026-08-31T06:40:08.029Z","updatedAt":"2026-08-31T06:40:09.763Z"},{"id":"doi:10.36227/techrxiv.22581832","name":"Optimal UAV Placement in 3D Space for Enhanced Communication Performance: A Multi-Objective Particle Swarm Optimization Approach","source":"crossref","abstract":"&lt;p&gt;This paper presents an optimization framework for an Unmanned Aerial Vehicle (UAV) assisted communication system. The goal is to determine the optimal placement of the UAV in three-dimensional space (xu, yu, zu) to minimize power consumption and maximize data rate while maintaining a desired bit error rate (BER). We first establish a mathematical model that captures the relationship between the UAV’s position, power consumption, data rate, and BER, considering free space path loss. Such a mathematical model is achieved in a static network environment and by employing the Multi-objective Particle Swarm Optimization (MOPSO) algorithm, which concurrently explores the solution space, seeking the ideal position (xu, yu, zu) that balances power consumption and data rate.We then extend the proposed framework to adapt to dynamic network environments while satisfying user demands. By adjusting the proposed system for static and dynamic network conditions, our enhanced framework ensures the UAV-assisted communication system remains efficient and effective. Theoretical analysis results, demonstrated through various examples, show that our proposed solution effectively balances delay and power consumption while maintaining the desired BER in UAV networks.&lt;/p&gt;","url":"https://doi.org/10.36227/techrxiv.22581832","authors":["Muhammad Khalil"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-04-11T16:23:14Z","doi":"10.36227/techrxiv.22581832","addedAt":"2026-08-31T06:40:08.029Z","updatedAt":"2026-08-31T06:40:09.763Z"},{"id":"doi:10.2139/ssrn.5291176","name":"Uav Swarm for Connectivity Enhancement of Multiple Isolated Sensor Networks Based on Subnet Priority","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.5291176","authors":["Yiping Yao","Hongbin Chen","Zhihui Guo"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-06-12T13:43:20Z","doi":"10.2139/ssrn.5291176","addedAt":"2026-08-31T06:40:08.029Z","updatedAt":"2026-08-31T06:40:08.029Z"},{"id":"doi:10.1109/asyu52992.2021.9598968","name":"Resultant Force Approach for Swarm UAV Behaviors","source":"crossref","abstract":"","url":"https://doi.org/10.1109/asyu52992.2021.9598968","authors":["Recep Demirci","Erkan Uslu"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2021-11-18T17:19:20Z","doi":"10.1109/asyu52992.2021.9598968","addedAt":"2026-08-31T06:40:08.029Z","updatedAt":"2026-08-31T06:40:08.029Z"},{"id":"doi:10.21203/rs.3.rs-177910/v2","name":"Low-fidelity Design Optimization and Development of a VTOL Swarm UAV using an Open-source Framework","source":"preprints","abstract":"Abstract Hybrid configurations in aircraft design are highly favorable as they can achieve the appropriate trade-offs required to develop a generalized unmanned aerial system. Rapid prototyping of such systems at the student level is a challenge because commercial software is expensive and difficult to interlink with other tools for creating a multi-disciplinary design. In this paper, an all-electric unmanned aerial system with both Vertical Takeoff and Landing (VTOL) and Fixed-Wing (FW) capabilities is designed and optimized for long range surveillance and relief operations. The entire design and simulation pipeline from concept to render is done using completely open-source software, libraries and in-house code. The Unmanned Aerial Vehicle (UAV) is equipped with on-board computers and sensors, and is designed to operate in an ad-hoc WiFi network with a swarm of similar UAVs. A prototype is fabricated, integrated and tested as well. A comparison with commercial codes and programs is done parallel to each design step. The study is concluded by discussing the primary challenges of using free software and testing a UAV with a hybrid configuration.","url":"https://doi.org/10.21203/rs.3.rs-177910/v2","authors":["Nikhil Sethi","Saurav Ahlawat"],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2022","doi":"10.21203/rs.3.rs-177910/v2","addedAt":"2026-08-31T06:40:08.029Z","updatedAt":"2026-08-31T06:40:08.031Z"},{"id":"doi:10.1109/cac63892.2024.10864890","name":"Heterogeneous Policy Network Reinforcement Learning for UAV Swarm Confrontation","source":"crossref","abstract":"","url":"https://doi.org/10.1109/cac63892.2024.10864890","authors":["Aocheng Su","Fengxuan Hou","Yiguang Hong"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-02-13T18:29:08Z","doi":"10.1109/cac63892.2024.10864890","addedAt":"2026-08-31T06:40:08.029Z","updatedAt":"2026-08-31T06:40:09.763Z"},{"id":"doi:10.1109/eit.2019.8834140","name":"Counter UAS Solutions Through UAV Swarm Environments","source":"crossref","abstract":"","url":"https://doi.org/10.1109/eit.2019.8834140","authors":["Martin Pozniak","Prakash Ranganathan"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2019-09-13T00:48:55Z","doi":"10.1109/eit.2019.8834140","addedAt":"2026-08-31T06:40:08.029Z","updatedAt":"2026-08-31T06:40:08.029Z"},{"id":"doi:10.1109/apuavd64488.2024.10765878","name":"Swarm Intelligence for UAV","source":"crossref","abstract":"","url":"https://doi.org/10.1109/apuavd64488.2024.10765878","authors":["Tetiana Volovoda"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-01-10T19:53:12Z","doi":"10.1109/apuavd64488.2024.10765878","addedAt":"2026-08-31T06:40:08.029Z","updatedAt":"2026-08-31T06:40:09.763Z"},{"id":"doi:10.36227/techrxiv.24257872","name":"A Novel Multi-Aperture Method for Unified Near-Field and Far-Field Localization Using UAV Swarm","source":"crossref","abstract":"&lt;p&gt;Near-field target positioning and far-field localization are traditionally regarded as two distinct challenges. As the modified polar representation (MPR) model was proposed, the localization method based on this model has been widely studied. Several closed-form positioning solutions considering measurement noise and sensor position errors were proposed in MPR. However, the sensor position error is usually modeled as Gaussian white noise for static sensors, which is not available to motion sensors such as the unmanned aerial vehicles (UAVs). With the existence of inertial navigation errors and body vibration errors of drones, a novel position error model is built for motion sensors in this paper. In order to obtain an optimal target estimation, a two-step overlapped sub-aperture (OSA) localization method is developed to refine the final estimate by correlation of these sub-apertures. This approach can minimize the deviation of estimate caused by measurement errors and sensor position errors and optimize the target estimates. Simulation results demonstrate that the proposed method achieves higher localization accuracy compared to earlier methods when the motion error of the sensor position is considered.&lt;/p&gt;","url":"https://doi.org/10.36227/techrxiv.24257872","authors":["Yu Yao","Lili Fang","Xiue Bao"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-10-11T21:35:50Z","doi":"10.36227/techrxiv.24257872","addedAt":"2026-08-31T06:40:08.029Z","updatedAt":"2026-08-31T06:40:08.029Z"},{"id":"doi:10.36227/techrxiv.24257872.v1","name":"A Novel Multi-Aperture Method for Unified Near-Field and Far-Field Localization Using UAV Swarm","source":"crossref","abstract":"Near-field target positioning and far-field localization are traditionally regarded as two distinct challenges. As the modified polar representation (MPR) model was proposed, the localization method based on this model has been widely studied. Several closed-form positioning solutions considering measurement noise and sensor position errors were proposed in MPR. However, the sensor position error is usually modeled as Gaussian white noise for static sensors, which is not available to motion sensors such as the unmanned aerial vehicles (UAVs). With the existence of inertial navigation errors and body vibration errors of drones, a novel position error model is built for motion sensors in this paper. In order to obtain an optimal target estimation, a two-step overlapped sub-aperture (OSA) localization method is developed to refine the final estimate by correlation of these sub-apertures. This approach can minimize the deviation of estimate caused by measurement errors and sensor position errors and optimize the target estimates. Simulation results demonstrate that the proposed method achieves higher localization accuracy compared to earlier methods when the motion error of the sensor position is considered.","url":"https://doi.org/10.36227/techrxiv.24257872.v1","authors":["Yu Yao","Lili Fang","Xiue Bao"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-10-11T17:35:48Z","doi":"10.36227/techrxiv.24257872.v1","addedAt":"2026-08-31T06:40:08.029Z","updatedAt":"2026-08-31T06:40:08.029Z"},{"id":"doi:10.1201/9781003598350-11","name":"Mist computing in distributed UAV swarm control","source":"crossref","abstract":"","url":"https://doi.org/10.1201/9781003598350-11","authors":["Rolando Herrero","Martin Cadirola"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-08-18T14:54:23Z","doi":"10.1201/9781003598350-11","addedAt":"2026-08-31T06:40:08.029Z","updatedAt":"2026-08-31T06:40:08.029Z"},{"id":"doi:10.52202/065147-0218","name":"Collaborative Optimization of UAV Swarm Distribution of Emergency Supplies","source":"crossref","abstract":"","url":"https://doi.org/10.52202/065147-0218","authors":["Yiheng Zhang","Guang Song"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2022-10-29T11:39:34Z","doi":"10.52202/065147-0218","addedAt":"2026-08-31T06:40:08.029Z","updatedAt":"2026-08-31T06:40:08.029Z"},{"id":"doi:10.1109/iccc62609.2024.10941768","name":"A Hybrid Particle Swarm Optimization Algorithm for Multi-Objective UAV Swarm Topology Shaping","source":"crossref","abstract":"","url":"https://doi.org/10.1109/iccc62609.2024.10941768","authors":["Jiqing Ma","Quan Zheng","Huasen He","Yunpeng Hou","Yue Ren","Yuanlong Wan"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-04-03T00:01:20Z","doi":"10.1109/iccc62609.2024.10941768","addedAt":"2026-08-31T06:40:08.029Z","updatedAt":"2026-08-31T06:40:09.763Z"},{"id":"doi:10.3390/sym12071111","name":"Dynamic Topology Reconstruction Protocol for UAV Swarm Networking","source":"crossref","abstract":"Along with the fourth industrial revolution, the use of unmanned aerial vehicles (UAV) has grown very rapidly over the past decade. With this rapid growth, studies using UAVs are underway in various areas. UAVs are more economical and effective when utilizing several nodes rather than operating a single aircraft. In general, UAVs collect and transmit information to the control center (CC), and act on control commands from the CC. Communication between UAVs and the control center is usually achieved using modules such as radio frequency (RF), Bluetooth, Wireless Fidelity (Wi-Fi) and cellular. However, when multiple UAVs communicate directly with the CC, the limitations of communication technologies and problems with increasing nodes occur. To address these points, several studies have constructed an ad-hoc network of UAVs to address the limitations of Wi-Fi and Bluetooth communication range, or the high cost of cellular systems. However, previous studies have constructed fixed topology ad-hoc networks. These studies did not take into account the problem of changing network topology due to the rapid mobility and frequent formation changes of UAVs. Due to this, limits occurred such that UAVs moved only in the pre-built topology. In this paper, we propose a dynamic topology construction protocol for UAV swarms to address this problem. The main contents of this paper are as follows. We first look at the research and limitations of existing UAV communications, and propose a protocol to solve this problem. This paper proposes a protocol for UAV construction of ad-hoc networks when trying to perform missions using multiple UAVs, and also describes how the changed network topology is reconstructed when network topology changes due to changes in flight formation. Finally, we establish a situation and apply the proposed protocol, analyze the results and describe further required research.","url":"https://doi.org/10.3390/sym12071111","authors":["Minsoo Park","SeungGwan Lee","Sungwon Lee"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2020-07-06T11:07:42Z","doi":"10.3390/sym12071111","addedAt":"2026-08-31T06:40:08.029Z","updatedAt":"2026-08-31T06:40:08.029Z"},{"id":"doi:10.1115/detc2018-86112","name":"Using an Intelligent UAV Swarm in Natural Disaster Environments","source":"crossref","abstract":"Due to their volatile behavior, natural disasters are challenging problems as they often cannot be accurately predicted. An efficient method to gather updated information of the status of a disaster, such as the location of any trapped survivors, is extremely important to properly conduct rescue operations. To accomplish this, an algorithm is presented to control a swarm of UAVs (Unmanned Aerial Vehicles) and optimize the value of the information gathered. For this application, the UAVs are autonomously navigated with a decentralized control method. With sensor technology embedded, this swarm collects information from the environment as it operates. By using the swarm’s location history, areas of the environment that have gone the longest without exploration can be prioritized, ensuring a thorough search. Measures are also developed to prevent redundant or inefficient exploration, which would reduce the value of the gathered information. A case study of a flood scenario is examined and simulated. Through this approach, the value of the proposed swarm algorithm can be tested by tracking the number of survivors found as well as the rate at which they are discovered.","url":"https://doi.org/10.1115/detc2018-86112","authors":["Jamie Asbach","Souma Chowdhury","Kemper Lewis"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2018-11-02T14:34:01Z","doi":"10.1115/detc2018-86112","addedAt":"2026-08-31T06:40:08.029Z","updatedAt":"2026-08-31T06:40:08.029Z"},{"id":"doi:10.1007/978-3-031-96444-2_8","name":"Conclusion","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-031-96444-2_8","authors":["Haipeng Yao","Tianle Mai"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-08-30T11:38:40Z","doi":"10.1007/978-3-031-96444-2_8","addedAt":"2026-08-31T06:40:08.029Z","updatedAt":"2026-08-31T06:40:08.029Z"},{"id":"doi:10.31224/3217","name":"Enhancing Wildfire Propagation Model Predictions Using UAV Swarm-Based Real-Time Wind Measurements: A Conceptual Framework","source":"crossref","abstract":"","url":"https://doi.org/10.31224/3217","authors":["Mohammad Tavakol Sadrabadi","Mauro S. Innocente"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-09-05T15:34:14Z","doi":"10.31224/3217","addedAt":"2026-08-31T06:40:08.029Z","updatedAt":"2026-08-31T06:40:08.029Z"},{"id":"doi:10.1007/978-981-97-3328-6_7","name":"Overview of UAV Swarm Communication and Cooperative Operation in Denial Environment","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-981-97-3328-6_7","authors":["Yajing Yan","Bi Wu","Hang Yang","Yongbo Xuan"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-06-14T19:01:29Z","doi":"10.1007/978-981-97-3328-6_7","addedAt":"2026-08-31T06:40:08.029Z","updatedAt":"2026-08-31T06:40:09.763Z"},{"id":"doi:10.1007/978-981-97-3328-6_44","name":"A Mission-Driven Flocking Control Scheme for UAV Swarm Formation Flight","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-981-97-3328-6_44","authors":["Xinyi Li","Rui Li","Chen Zhou","Yingjing Shi"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-06-14T19:01:29Z","doi":"10.1007/978-981-97-3328-6_44","addedAt":"2026-08-31T06:40:08.029Z","updatedAt":"2026-08-31T06:40:09.763Z"},{"id":"doi:10.2139/ssrn.5256353","name":"Joint Optimization of Beamforming and Trajectory for Wireless Secrecy Communication of Uav Swarm","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.5256353","authors":["Zhe Xu","Xiangming Zheng","Jianjiang Zhou","Fei Wang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-05-15T22:48:37Z","doi":"10.2139/ssrn.5256353","addedAt":"2026-08-31T06:40:08.029Z","updatedAt":"2026-08-31T06:40:08.029Z"},{"id":"doi:10.4018/ijsir.311499","name":"A Survey of UAV Swarm Task Allocation Based on the Perspective of Coalition Formation","source":"crossref","abstract":"Coalition formation of unmanned aerial vehicle (UAV) swarms, an effective solution for UAV swarm task allocation, is an important technology for UAV swarms to perform real-time and efficient collaborative task allocation in a dynamic and unknown environment. This paper summarizes the task allocation methods of UAV swarm coalition comprehensively and systematically. First, starting with the related work of UAV swarm coalition task allocation, this paper introduces the basic concept, general model, and constraint index of UAV swarm coalition task allocation. Then, the specific content, research status, advantages, and disadvantages of the coalition formation methods are analyzed, respectively. Third, the commonly used solution algorithms and research status of coalition task allocation are introduced, and the advantages and disadvantages of the existing coalition formation solution algorithms are compared and analyzed. Finally, it provides significant guidance for future related research.","url":"https://doi.org/10.4018/ijsir.311499","authors":["Husheng Wu","Qiang Peng","Meimei Shi","Lining Xing"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2022-09-29T11:21:53Z","doi":"10.4018/ijsir.311499","addedAt":"2026-08-31T06:40:08.029Z","updatedAt":"2026-08-31T06:40:08.029Z"},{"id":"doi:10.1109/siu.2018.8404164","name":"An application on the mission planning of UAV swarm","source":"crossref","abstract":"","url":"https://doi.org/10.1109/siu.2018.8404164","authors":["İlkay Gümüşboğa"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2018-07-09T23:00:46Z","doi":"10.1109/siu.2018.8404164","addedAt":"2026-08-31T06:40:08.029Z","updatedAt":"2026-08-31T06:40:08.029Z"},{"id":"doi:10.1109/icns50378.2020.9223005","name":"UAV Swarm Path Planning","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icns50378.2020.9223005","authors":["Scott James","Robert Raheb","Allison Hudak"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2020-10-14T15:57:25Z","doi":"10.1109/icns50378.2020.9223005","addedAt":"2026-08-31T06:40:08.029Z","updatedAt":"2026-08-31T06:40:08.029Z"},{"id":"doi:10.1007/978-981-97-3340-8_42","name":"Cooperative Attack Algorithm for UAV Swarm System Under Spatiotemporal Constraints","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-981-97-3340-8_42","authors":["Zhiyan Zhou","Jianglong Yu","Qingdong Li","Hong Jiang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-07-11T08:02:28Z","doi":"10.1007/978-981-97-3340-8_42","addedAt":"2026-08-31T06:40:08.029Z","updatedAt":"2026-08-31T06:40:09.763Z"},{"id":"doi:10.1007/978-3-031-96444-2_1","name":"Introduction","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-031-96444-2_1","authors":["Haipeng Yao","Tianle Mai"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-08-30T11:38:48Z","doi":"10.1007/978-3-031-96444-2_1","addedAt":"2026-08-31T06:40:08.029Z","updatedAt":"2026-08-31T06:40:08.029Z"},{"id":"doi:10.1007/978-981-97-3328-6_36","name":"A Multi-agent Deep Reinforcement Learning Framework for UAV Swarm","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-981-97-3328-6_36","authors":["Fanyu Zeng","Haigen Yang","Qian Zhao","Min Li"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-06-14T19:01:29Z","doi":"10.1007/978-981-97-3328-6_36","addedAt":"2026-08-31T06:40:08.029Z","updatedAt":"2026-08-31T06:40:09.763Z"},{"id":"doi:10.2514/6.2026-1394","name":"Cooperative Encirclement of Malicious UAVs in an Interspersed UAV Swarm","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2026-1394","authors":["Gautam Kumar","Ashwini Ratnoo"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-01-29T07:39:48Z","doi":"10.2514/6.2026-1394","addedAt":"2026-08-31T06:40:08.029Z","updatedAt":"2026-08-31T06:40:08.029Z"},{"id":"doi:10.1109/glocomw.2010.5700246","name":"Maintaining connectivity in UAV swarm sensing","source":"crossref","abstract":"","url":"https://doi.org/10.1109/glocomw.2010.5700246","authors":["W. T. Luke Teacy","Jing Nie","Sally McClean","Gerard Parr"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2011-01-24T16:09:09Z","doi":"10.1109/glocomw.2010.5700246","addedAt":"2026-08-31T06:40:08.029Z","updatedAt":"2026-08-31T06:40:08.029Z"},{"id":"doi:10.3389/fams.2021.744955","name":"Dynamic Pathfinding for a Swarm Intelligence Based UAV Control Model Using Particle Swarm Optimisation","source":"crossref","abstract":"In recent years unmanned aerial vehicles (UAVs) have become smaller, cheaper, and more efficient, enabling the use of multiple autonomous drones where previously a single, human-operated drone would have been used. This likely includes crisis response and search and rescue missions. These systems will need a method of navigating unknown and dynamic environments. Typically, this would require an incremental heuristic search algorithm, however, these algorithms become increasingly computationally and memory intensive as the environment size increases. This paper used two different Swarm Intelligence (SI) algorithms: Particle Swarm Optimisation and Reynolds flocking to propose an overall system for controlling and navigating groups of autonomous drones through unknown and dynamic environments. This paper proposes Particle Swarm Optimisation Pathfinding (PSOP): a dynamic, cooperative algorithm; and, Drone Flock Control (DFC): a modular model for controlling systems of agents, in 3D environments, such that collisions are minimised. Using the Unity game engine, a real-time application, simulation environment, and data collection apparatus were developed and the performances of DFC-controlled drones—navigating with either the PSOP algorithm or a D* Lite implementation—were compared. The simulations do not consider UAV dynamics. The drones were tasked with navigating to a given target position in environments of varying size and quantitative data on pathfinding performance, computational and memory performance, and usability were collected. Using this data, the advantages of PSO-based pathfinding were demonstrated. PSOP was shown to be more memory efficient, more successful in the creation of high quality, accurate paths, more usable and as computationally efficient as a typical incremental heuristic search algorithm when used as part of a SI-based drone control model. This study demonstrated the capabilities of SI approaches as a means of controlling multi-agent UAV systems in a simple simulation environment. Future research may look to apply the DFC model, with the PSOP algorithm, to more advanced simulations which considered environment factors like atmospheric pressure and turbulence, or to real-world UAVs in a controlled environment.","url":"https://doi.org/10.3389/fams.2021.744955","authors":["Lewis M. Pyke","Craig R. Stark"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2021-11-22T04:51:55Z","doi":"10.3389/fams.2021.744955","addedAt":"2026-08-31T06:40:08.029Z","updatedAt":"2026-08-31T06:40:08.029Z"},{"id":"doi:10.1145/3059336.3059337","name":"Method of Task Assignment for UAV Based on Particle Swarm Optimization in logistics","source":"crossref","abstract":"","url":"https://doi.org/10.1145/3059336.3059337","authors":["Xiaowei Jiang","Qiang Zhou","Ying Ye"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2017-05-17T13:55:06Z","doi":"10.1145/3059336.3059337","addedAt":"2026-08-31T06:40:08.029Z","updatedAt":"2026-08-31T06:40:08.029Z"},{"id":"doi:10.1109/icecai66283.2025.11170551","name":"Swarm Intelligence Algorithm Assisted Dynamic Spectrum Sharing for UAV Swarm","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icecai66283.2025.11170551","authors":["Yang Han","Xiaomin Liao","You Li","Guojun Ye"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-09-29T17:50:48Z","doi":"10.1109/icecai66283.2025.11170551","addedAt":"2026-08-31T06:40:08.029Z","updatedAt":"2026-08-31T06:40:08.029Z"},{"id":"doi:10.1109/icise60366.2023.00107","name":"Research on indoor UAV swarm positioning technology based on UWB","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icise60366.2023.00107","authors":["Song Wang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-11-16T18:52:15Z","doi":"10.1109/icise60366.2023.00107","addedAt":"2026-08-31T06:40:08.029Z","updatedAt":"2026-08-31T06:40:08.029Z"},{"id":"doi:10.23919/acc63710.2025.11108054","name":"Control of an UAV swarm in amorphous formation","source":"crossref","abstract":"","url":"https://doi.org/10.23919/acc63710.2025.11108054","authors":["Benjamin Piet","Guillaume Strub","Sébastien Changey","Nicolas Petit"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-08-21T18:17:51Z","doi":"10.23919/acc63710.2025.11108054","addedAt":"2026-08-31T06:40:08.029Z","updatedAt":"2026-08-31T06:40:08.029Z"},{"id":"doi:10.1109/cac63892.2024.10865261","name":"Multi-UAV Coverage Path Planning Method Based on Improved Particle Swarm Optimization","source":"crossref","abstract":"","url":"https://doi.org/10.1109/cac63892.2024.10865261","authors":["Yan Zhou","Yonghua Xiong"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-02-13T13:29:08Z","doi":"10.1109/cac63892.2024.10865261","addedAt":"2026-08-31T06:40:08.030Z","updatedAt":"2026-08-31T06:40:09.763Z"},{"id":"doi:10.2139/ssrn.4402758","name":"An Intelligent Multi-Hop Low Duty Cycle Uav Swarm Ad Hoc Network Mac Protocol","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.4402758","authors":["Yanhong Zhou","Jin Ning","Zhiheng Ding","Bin Duo"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-03-28T10:18:21Z","doi":"10.2139/ssrn.4402758","addedAt":"2026-08-31T06:40:08.030Z","updatedAt":"2026-08-31T06:40:08.030Z"},{"id":"doi:10.21236/ad1009315","name":"UAV Swarm Operational Risk Assessment System","source":"crossref","abstract":"","url":"https://doi.org/10.21236/ad1009315","authors":["Sariyu Marfo","Shane Ehler","Ryan Fields","Jamaries B. Negron","Shane Skopak","John Junek","Justin Zarzaca","Robert Perrotta"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2017-06-08T15:49:53Z","doi":"10.21236/ad1009315","addedAt":"2026-08-31T06:40:08.030Z","updatedAt":"2026-08-31T06:40:08.030Z"},{"id":"doi:10.1109/taes.2025.3626306/mm2","name":"Communication-Aware Task Allocation for the UAV Swarm Via Multi-Objective Asynchronous Policy Learning_supp1-3626306.docx","source":"crossref","abstract":"","url":"https://doi.org/10.1109/taes.2025.3626306/mm2","authors":["Jie Li"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-10-29T17:46:40Z","doi":"10.1109/taes.2025.3626306/mm2","addedAt":"2026-08-31T06:40:08.030Z","updatedAt":"2026-08-31T06:40:08.030Z"},{"id":"doi:10.53106/160792642023112406015","name":"A k-hop Constrained Reachability Based Proactive Connectivity Maintaining Mechanism of UAV Swarm Networks","source":"crossref","abstract":"&lt;p&gt;Harsh or hostile environments may lead to node failure and connectivity degradation of a UAV swarm system. In order to maintain or restore the connectivity of a network in case of node failure, this paper proposes a mechanism to adjust the network topology to resist the impact caused by node failure. Firstly, a network model of a UAV swarm network based on k-hop constrained reachability is proposed. Secondly, a k-hop constrained reachability based proactive connectivity maintaining mechanism of UAV swarm network is presented. In this mechanism, each node identifies the network abnormality distributed according to k-hop reachability, and reports the observed abnormality to the master node; then, a virtual edge-based topology reconstruction algorithm is put forward for the master node to derive a topology reconstruction solution in a centralized way; afterwards, the solution is delivered to the slave nodes to reconfigure the network topology in parallel. Thirdly, a quantitative method is introduced to optimize the total travel distance of nodes, and a spanning tree-based method is designed to maintain the connectivity during the topology transformation process. Both theoretical analysis and simulation results have shown that: on the one hand, the proposed mechanism are effective in maintaining a UAV swarm&amp;rsquo;s connectivity in case of node failure; on the other hand, the proposed mechanism outperforms existing mechanisms in terms of fault tolerance, connectivity, and total travel distance, and it&amp;rsquo;s less affected by the failure rate.&lt;/p&gt; &lt;p&gt;&amp;nbsp;&lt;/p&gt;","url":"https://doi.org/10.53106/160792642023112406015","authors":["Huibin Wang Huibin Wang","Ming Chen Huibin Wang","Xianglin Wei Ming Chen"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-12-13T03:13:22Z","doi":"10.53106/160792642023112406015","addedAt":"2026-08-31T06:40:08.030Z","updatedAt":"2026-08-31T06:40:08.030Z"},{"id":"doi:10.1007/978-981-95-8329-4_44","name":"Formation Tracking Control for UAV Swarm Under Trajectory and Detection Constraints","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-981-95-8329-4_44","authors":["Jiacheng Wang","Yang Luo","Chong Wu","Shuangai Wan","Peng Li"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-05-10T22:45:12Z","doi":"10.1007/978-981-95-8329-4_44","addedAt":"2026-08-31T06:40:08.030Z","updatedAt":"2026-08-31T06:40:08.030Z"},{"id":"doi:10.2139/ssrn.6589618","name":"SERE: Self-Adversarial Rule Evolution with Memory for Interpretable UAV Swarm Tactics","source":"crossref","abstract":"Discovering effective tactics for unmanned aerial vehicle (UAV) swarm confrontation remains challenging due to the discrete policy space and intransitive game dynamics. To address this, we propose the Swarm Engagement Rule Evolution (SERE), a memory-augmented self-adversarial evolutionary framework for synthesizing interpretable swarm policies. The core idea of this work is to utilize large language models (LLMs) as semantic variation operators within a symbolic policy search loop. While this approach looks simple, it is still challenging to maintain stable evolutionary improvement against diverse opponents. To handle this issue, we introduce an evolutionary governance mechanism that unifies a dynamic knowledge base and Hall-of-Fame self-play, transitioning the search from memoryless random mutation to guided, self-iterative evolution. Experiments on a 6v6 UAV swarm aerial combat benchmark indicate that SERE attains competitive adversarial effectiveness compared with the reported heuristic and learning-based baselines. Unlike opaque neural networks, the evolved policies remain transparent and rule-based, and they exhibit encouraging transfer to the reported high-fidelity physical environment without task-specific retraining.","url":"https://doi.org/10.2139/ssrn.6589618","authors":["Chen Wang","Bai Jiangyao","Yongkang Zhou","Cheng Zhu","Lailong luo"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-04-16T16:36:36Z","doi":"10.2139/ssrn.6589618","addedAt":"2026-08-31T06:40:08.030Z","updatedAt":"2026-08-31T06:40:08.030Z"},{"id":"doi:10.1109/sis.2008.4668282","name":"A new UAV assignment model based on PSO","source":"crossref","abstract":"","url":"https://doi.org/10.1109/sis.2008.4668282","authors":["Feng Pan","Xiaohui Hu","Russ Eberhart","Yaobin Chen"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2008-11-11T18:53:38Z","doi":"10.1109/sis.2008.4668282","addedAt":"2026-08-31T06:40:08.030Z","updatedAt":"2026-08-31T06:40:08.030Z"},{"id":"doi:10.1109/isc246665.2019.9071678","name":"Swarm UAV Communications with Diversity and Delay Trade-off using Mobile Caching","source":"crossref","abstract":"","url":"https://doi.org/10.1109/isc246665.2019.9071678","authors":["Weisi Guo"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2020-04-21T01:12:51Z","doi":"10.1109/isc246665.2019.9071678","addedAt":"2026-08-31T06:40:08.030Z","updatedAt":"2026-08-31T06:40:08.030Z"},{"id":"doi:10.36222/ejt.1434751","name":"A Communication System for Dynamic Leader Selection in Distributed UAV Swarm Architecture","source":"crossref","abstract":"Distributed swarm robot systems are made up of several robots that communicate with one another and often work together to complete a task or reach a predetermined objective. These systems frequently consist of many platforms, like unmanned aerial aircraft, mobile robots, or other types of vehicles. This paper offers a comprehensive exploration of the design, modeling, and real-world hardware and software implementation of a distributed swarm system. The decision was made to employ standard Pixhawk hardware for the swarm agents. Pixhawk, a freely available hardware and software platform for autonomous flight control, is commonly utilized in autonomous cars, multirotor vehicles, drones, and various robotic applications. Operating autonomously from the ground control station, swarm agents dynamically identify leaders during operation and execute leader tracking navigation to model swarm behavior. Ensuring generality and dynamism in all protocols and communication was a primary focus during the research phase. To maintain this dynamism, each protocol and communication process is implemented in distinct threads on the computer, and synchronization is achieved through synchronization primitives, shared memory, and interthread communication.","url":"https://doi.org/10.36222/ejt.1434751","authors":["Abdulmelik Bekmez","Kadir Aram"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-08-22T23:11:02Z","doi":"10.36222/ejt.1434751","addedAt":"2026-08-31T06:40:08.030Z","updatedAt":"2026-08-31T06:40:09.763Z"},{"id":"doi:10.1109/globecom46510.2021.9685240","name":"Cooperative Task Offloading in UAV Swarm-based Edge Computing","source":"crossref","abstract":"","url":"https://doi.org/10.1109/globecom46510.2021.9685240","authors":["Yutao Wang","Hongzhi Guo","Jiajia Liu"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2022-02-02T16:59:04Z","doi":"10.1109/globecom46510.2021.9685240","addedAt":"2026-08-31T06:40:08.030Z","updatedAt":"2026-08-31T06:40:08.030Z"},{"id":"doi:10.1109/aicconf64766.2025.11064270","name":"Intelligent Routing Strategies in UAV Swarm Operations","source":"crossref","abstract":"","url":"https://doi.org/10.1109/aicconf64766.2025.11064270","authors":["Serap Kilinc","Meltem Yildirim Imamoglu"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-07-10T17:45:06Z","doi":"10.1109/aicconf64766.2025.11064270","addedAt":"2026-08-31T06:40:08.030Z","updatedAt":"2026-08-31T06:40:08.030Z"},{"id":"doi:10.3390/drones9020139","name":"Lightweight Secure Communication Supporting Batch Authentication for UAV Swarm","source":"crossref","abstract":"In recent years, with the widespread application of UAV swarm, the security problems faced have been gradually discovered, such as the lack of reliable identity authentication, which makes UAVs vulnerable to invasion. To solve these security problems, a lightweight secure communication scheme supporting batch authentication for UAV swarm is proposed. Firstly, a layered secure communication model for UAV swarm is designed. Then, a secure transmission protocol is implemented by using elliptic curves under this model, which not only reduces the number of encryptions but also ensures the randomness and one-time use of the session key. Moreover, a UAV identity authentication scheme supporting batch signature verification is proposed, which improves the efficiency of identity authentication. The experiments show that, when the number of UAVs is 60, the computation cost of the proposed scheme is 0.071 s, and the communication cost is 0.203 s, fully demonstrating the efficiency and practicability of the scheme. Through comprehensive security analysis, the capability of the proposed scheme to resist various attacks is demonstrated.","url":"https://doi.org/10.3390/drones9020139","authors":["Pengbin Han","Aina Sui","Jiang Wu"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-02-13T10:36:58Z","doi":"10.3390/drones9020139","addedAt":"2026-08-31T06:40:08.030Z","updatedAt":"2026-08-31T06:40:08.030Z"},{"id":"doi:10.3390/electronics15163740","name":"A Simulation-Driven Hierarchical Stackelberg-DMPC Framework for UAV Swarm Interception","source":"crossref","abstract":"This paper proposes a simulation-driven hierarchical Stackelberg–distributed model predictive control framework (SHS-DMPC) for intercepting multi-wave UAV swarm attacks under limited defensive resources. The interaction between the defender and the attacker is modeled as a Stackelberg leader–follower game. At the strategy layer, a finite-response approximation of Stackelberg decision making is constructed under incomplete information: the attacker’s response type is inferred online from swarm-level motion features, and candidate defender strategies are subsequently evaluated through state-dependent short-horizon rollout simulations. This formulation avoids requiring explicit knowledge of the attacker’s utility function while retaining anticipatory leader–follower strategy evaluation. At the task-allocation layer, target value, threat level, spatial bias, and a reassignment penalty are incorporated into the allocation cost to translate the selected defense strategy into dynamic defender–attacker assignments. At the control layer, each defending UAV solves a local DMPC problem to generate continuous control inputs while satisfying kinematic, inter-UAV separation, and airspace-boundary constraints. Simulation results show that SHS-DMPC achieve a higher interception success rate, a lower value-weighted target loss rate, and fewer minimum-separation violations than the comparison methods under multi-wave heterogeneous attack scenarios, demonstrating the benefits of closed-loop coupling among response inference, strategy-conditioned allocation, and constraint-aware distributed trajectory optimization.","url":"https://doi.org/10.3390/electronics15163740","authors":["Zhao Sun","Guangjun He"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-08-20T16:05:19Z","doi":"10.3390/electronics15163740","addedAt":"2026-08-31T06:40:08.030Z","updatedAt":"2026-08-31T06:40:08.030Z"},{"id":"doi:10.1109/access.2020.3028865","name":"UAV Swarm Intelligence: Recent Advances and Future Trends","source":"crossref","abstract":"","url":"https://doi.org/10.1109/access.2020.3028865","authors":["Yongkun Zhou","Bin Rao","Wei Wang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2020-10-06T15:32:23Z","doi":"10.1109/access.2020.3028865","addedAt":"2026-08-31T06:40:08.030Z","updatedAt":"2026-08-31T06:40:08.030Z"},{"id":"doi:10.1109/aero.2019.8741829","name":"Adaptive Nonlinear PID Control for a Quadrotor UAV Using Particle Swarm Optimization","source":"crossref","abstract":"","url":"https://doi.org/10.1109/aero.2019.8741829","authors":["Babak Salamat","Andrea M. Tonello"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2019-06-20T23:33:37Z","doi":"10.1109/aero.2019.8741829","addedAt":"2026-08-31T06:40:08.030Z","updatedAt":"2026-08-31T06:40:08.030Z"},{"id":"doi:10.33022/ijcs.v13i5.4402","name":"Optimizing Swarm UAV Scheduling for Efficiency in Complex Operations and Collision Avoidance","source":"crossref","abstract":"The use of drones or Unmanned Aerial Vehicle (UAVs) has rapidly evolved across various civil, public, and military applications over the past two decades. Military UAVs have long been used for border surveillance, while civilian UAVs can monitor traffic, provide disaster alerts, and deliver medical supplies. Swarm UAVs, inspired by natural animal colonies such as birds and bees, enable complex flight coordination in disaster situations. To optimize operations, the implementation of scheduling methods for swarm drones is crucial. This method involves scheduling flights based on mission priorities, estimated time of arrival, and drone battery conditions. Effective scheduling ensures operational efficiency and flight safety of drones.","url":"https://doi.org/10.33022/ijcs.v13i5.4402","authors":["Annisa Amalia Raharja"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-10-29T12:56:51Z","doi":"10.33022/ijcs.v13i5.4402","addedAt":"2026-08-31T06:40:08.030Z","updatedAt":"2026-08-31T06:40:09.763Z"},{"id":"doi:10.1109/vtc2024-fall63153.2024.10757670","name":"Intelligent UAV Swarm Coexistence in DTV Bands","source":"crossref","abstract":"","url":"https://doi.org/10.1109/vtc2024-fall63153.2024.10757670","authors":["Rajrshi Dubey","Ashutosh Balakrishnan","Swades De"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-01-10T19:44:30Z","doi":"10.1109/vtc2024-fall63153.2024.10757670","addedAt":"2026-08-31T06:40:08.030Z","updatedAt":"2026-08-31T06:40:09.763Z"},{"id":"doi:10.2139/ssrn.4875338","name":"A Novel Gps Spoofing Detection Method for Uav Swarm Based on Heterogeneous Redundancy Adjudication","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.4875338","authors":["Lianxiao Meng","Xiangyang Luo","Chunfang Yang","Shichang Ding"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-06-25T01:18:09Z","doi":"10.2139/ssrn.4875338","addedAt":"2026-08-31T06:40:08.030Z","updatedAt":"2026-08-31T06:40:09.763Z"},{"id":"doi:10.1016/j.swevo.2026.102433","name":"Research on UAV-USV cooperative pursuit method based on deep reinforcement learning","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.swevo.2026.102433","authors":["Shoucong Wang","Yong Xie","Xiaobo Liu"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-06-11T14:13:43Z","doi":"10.1016/j.swevo.2026.102433","addedAt":"2026-08-31T06:40:08.030Z","updatedAt":"2026-08-31T06:40:08.030Z"},{"id":"doi:10.1007/978-981-97-3336-1_53","name":"Design of Red-Blue Confrontation Module for UAV Swarm Simulation System","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-981-97-3336-1_53","authors":["Zehao Bai","Dongxiao Yang","Juan Li","Chang Liu"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-06-14T18:02:53Z","doi":"10.1007/978-981-97-3336-1_53","addedAt":"2026-08-31T06:40:08.030Z","updatedAt":"2026-08-31T06:40:09.763Z"},{"id":"doi:10.14569/ijacsa.2021.0121163","name":"Blockchain-based Secure Data Transmission for UAV Swarm using Modified Particle Swarm Optimization Path Planning Algorithm","source":"crossref","abstract":"","url":"https://doi.org/10.14569/ijacsa.2021.0121163","authors":["M. Kayalvizhi","S. Ramamoorthy"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2021-12-06T12:27:39Z","doi":"10.14569/ijacsa.2021.0121163","addedAt":"2026-08-31T06:40:08.030Z","updatedAt":"2026-08-31T06:40:08.030Z"},{"id":"doi:10.2139/ssrn.5347504","name":"Adaptive Dynamic Task Scheduling for Uav Swarm: Optimizing Time and Energy in Surveillance of Dynamic Environments","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.5347504","authors":["Saeid Alirezazadeh","Nuno Rodrigues","António Pereira"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-07-11T01:43:21Z","doi":"10.2139/ssrn.5347504","addedAt":"2026-08-31T06:40:08.030Z","updatedAt":"2026-08-31T06:40:08.030Z"},{"id":"doi:10.1117/12.2685988","name":"UAV swarm control algorithm based on Kalman filter and particle swarm optimization","source":"crossref","abstract":"","url":"https://doi.org/10.1117/12.2685988","authors":["Hongyi Qiu","Tingting Yan","Long Ma","Guodong Yue"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-07-28T17:39:22Z","doi":"10.1117/12.2685988","addedAt":"2026-08-31T06:40:08.030Z","updatedAt":"2026-08-31T06:40:08.030Z"},{"id":"doi:10.2139/ssrn.4155309","name":"Rechargeable Uav Swarm Speed Control and Energy-Saving Scheduling Scheme","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.4155309","authors":["Jianbin Xue","Fukai Xing","Jupeng Li"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2022-07-10T10:55:39Z","doi":"10.2139/ssrn.4155309","addedAt":"2026-08-31T06:40:08.030Z","updatedAt":"2026-08-31T06:40:08.030Z"},{"id":"doi:10.1515/9783110785982-020","name":"3.7 Micro-UAV Swarm Testbed for Indoor Applications","source":"crossref","abstract":"","url":"https://doi.org/10.1515/9783110785982-020","authors":["Nils Gramse","Moritz Roidl","Shrutarv Awasthi","Christopher Reining"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2022-12-20T06:25:19Z","doi":"10.1515/9783110785982-020","addedAt":"2026-08-31T06:40:08.030Z","updatedAt":"2026-08-31T06:40:08.030Z"},{"id":"doi:10.3390/drones7040267","name":"Decentralized UAV Swarm Scheduling with Constrained Task Exploration Balance","source":"crossref","abstract":"Scheduling is one of the key technologies used in unmanned aerial vehicle (UAV) swarms. Scheduling determines whether a task can be completed and when the task is complete. The distributed method is a fast way to realize swarm scheduling. It has no central node and UAVs can freely join or leave it, thus making it more robust and flexible. However, the two most representative methods, the Consensus-Based Bundle Algorithm (CBBA) and the Performance Impact (PI) algorithm, pursue the minimum cost impact of tasks, which have optimization limitations and are easily cause task conflicts. In this paper, a new concept called “task consideration” is proposed to quantify the impact of tasks on scheduling and the regression of the task itself, balancing the exploration of the UAV for the minimum-impact task and the regression of neighboring tasks to improve the optimization and convergence of scheduling. In addition, the conflict resolution rules are modified to fit the proposed method, and the exploration of tasks is increased by a new removal method to further improve the optimization. Finally, through extensive Monte Carlo experiments, compared with CBBA and PI, the proposed method is shown to perform better in terms of task allocation and total travel time, and with the increase in the number of average UAV tasks, the number of iterations is less and the convergence is faster.","url":"https://doi.org/10.3390/drones7040267","authors":["Runfeng Chen","Jie Li","Ting Peng"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-04-14T01:32:03Z","doi":"10.3390/drones7040267","addedAt":"2026-08-31T06:40:08.030Z","updatedAt":"2026-08-31T06:40:08.030Z"},{"id":"doi:10.65218/jius.2026.113","name":"Deep Learning-Based Estimation of UAV-Swarm Communication Constraints","source":"crossref","abstract":"","url":"https://doi.org/10.65218/jius.2026.113","authors":["Laércio Lucchesi","Bruno Olivieri","Markus Endler","Paulo Ivson"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-07-07T03:17:43Z","doi":"10.65218/jius.2026.113","addedAt":"2026-08-31T06:40:08.030Z","updatedAt":"2026-08-31T06:40:08.030Z"},{"id":"doi:10.1109/icus50048.2020.9274902","name":"Research on UAV Swarm Cooperative Reconnaissance and Combat Technology","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icus50048.2020.9274902","authors":["Rui Li","Hongzhong Ma"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2020-12-08T04:22:52Z","doi":"10.1109/icus50048.2020.9274902","addedAt":"2026-08-31T06:40:08.030Z","updatedAt":"2026-08-31T06:40:08.030Z"},{"id":"doi:10.3901/jme.2022.10.361","name":"Mission Reliability Modeling and Importance Analysis of UAV Swarm","source":"crossref","abstract":"","url":"https://doi.org/10.3901/jme.2022.10.361","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-05-08T01:29:55Z","doi":"10.3901/jme.2022.10.361","addedAt":"2026-08-31T06:40:08.030Z","updatedAt":"2026-08-31T06:40:08.030Z"},{"id":"doi:10.5220/0013243100003890","name":"Multi-Agent Trajectory Prediction for Urban Environments with UAV Data Using Enhanced Temporal Kolmogorov-Arnold Networks with Particle Swarm Optimization","source":"crossref","abstract":"","url":"https://doi.org/10.5220/0013243100003890","authors":["Mohammad Mohebbi","Elahe Kafash","Mario Döller"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-02-28T12:43:20Z","doi":"10.5220/0013243100003890","addedAt":"2026-08-31T06:40:08.030Z","updatedAt":"2026-08-31T06:40:08.030Z"},{"id":"doi:10.1007/979-8-8688-1047-3_11","name":"The Essential Role of Cybersecurity in UAV Swarm Operations","source":"crossref","abstract":"","url":"https://doi.org/10.1007/979-8-8688-1047-3_11","authors":["Fida Muhammad Khan","Taj Rahman","Asim Zeb","Inam Ullah","Inayat Khan","Muhammad Shoaib Akhter"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-02-28T01:30:31Z","doi":"10.1007/979-8-8688-1047-3_11","addedAt":"2026-08-31T06:40:08.030Z","updatedAt":"2026-08-31T06:40:08.030Z"},{"id":"doi:10.23919/acc.2018.8430773","name":"Distributed UAV Swarm Formation Control via Object-Focused, Multi-Objective SARSA","source":"crossref","abstract":"","url":"https://doi.org/10.23919/acc.2018.8430773","authors":["Christian Speck","Donald J. Bucci"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2018-08-17T20:16:10Z","doi":"10.23919/acc.2018.8430773","addedAt":"2026-08-31T06:40:08.030Z","updatedAt":"2026-08-31T06:40:08.030Z"},{"id":"doi:10.1109/rws47064.2019.8971823","name":"Physical Layer Security for UAV Swarm Communications via Protected Zone","source":"crossref","abstract":"","url":"https://doi.org/10.1109/rws47064.2019.8971823","authors":["Yavuz Yapici","İsmail Güvenç","Huaiyu Dai","Arupjyoti Bhuyan"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2020-01-31T02:07:51Z","doi":"10.1109/rws47064.2019.8971823","addedAt":"2026-08-31T06:40:08.030Z","updatedAt":"2026-08-31T06:40:08.030Z"},{"id":"doi:10.1201/9781003039327-2","name":"Unmanned Aerial Vehicle Navigation Using Deep Learning","source":"crossref","abstract":"","url":"https://doi.org/10.1201/9781003039327-2","authors":["Yongzhi Yang","Kenneth G. Ricks","Fei Hu"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2020-12-02T06:33:35Z","doi":"10.1201/9781003039327-2","addedAt":"2026-08-31T06:40:08.030Z","updatedAt":"2026-08-31T06:40:08.030Z"},{"id":"doi:10.2139/ssrn.6293240","name":"Task-driven Decentralized Decision-making Method for UAV Swarm with Behavior Regulation under Communication Delay","source":"crossref","abstract":"Classic swarm models attribute behavioral emergence to individual-level local interactions, enabling unmanned aerial vehicle (UAV) swarms to execute basic tasks. However, communication delay and packet loss caused by electromagnetic interference or link fluctuations trigger decision-making biases, severely limiting swarm adaptability to complex multi-task scenarios. To address this challenge, this paper proposes a Delay Prediction-based Task-driven Swarm Decision-making Method (DP-TDDM), comprising three core modules: a front-end trajectory prediction module, a neighbors reselection module, and a back-end task-driven individual-level decision-making module with behavior regulation. In the trajectory prediction module, a residual-corrected non-equidistant grey prediction model is established, which achieves high-precision small-sample prediction by dynamically updating the delay queue via a sliding window mechanism. In the neighbors reselection module, a quantitative criterion integrating information timeliness and flight safety is designed to perform reselection and assign differentiated state weights to the new neighbors, thereby optimizing decision-making information source quality systematically. In the individual-level decision-making module, an orderly rule-behavior mapping is built to realize event-triggered, task-driven dynamic decision-making, which ensures conflict-free behavioral switching while preserving collective motion robustness. Based on a high-fidelity hardware-in-the-loop (HIL) simulation system, comprehensive performance comparisons are conducted between DP-TDDM and classic Intelligent Self-Organized Algorithm (ISOA), Weak Information Interaction UAV Swarm Model (WIIUSM) and their variants in multi-task scenarios. Results verify DP-TDDM’s effectiveness, robustness, and scalability, while additional experiments on delay prediction accuracy and behavior regulation effectiveness further corroborate its superiority. This study provides a feasible engineering solution via classical swarm model optimization and enhances UAV swarm task adaptability under communication delay.","url":"https://doi.org/10.2139/ssrn.6293240","authors":["Ziwei Xin","Juan Li","Jie Li","Chang Liu"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-02-23T16:41:38Z","doi":"10.2139/ssrn.6293240","addedAt":"2026-08-31T06:40:08.030Z","updatedAt":"2026-08-31T06:40:08.030Z"},{"id":"doi:10.1109/icee52715.2021.9544123","name":"Switched Robust Model Predictive Based Controller for UAV Swarm System","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icee52715.2021.9544123","authors":["Erfan Nejabat","Amirhossein Nikoofard"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2021-10-05T06:43:31Z","doi":"10.1109/icee52715.2021.9544123","addedAt":"2026-08-31T06:40:08.030Z","updatedAt":"2026-08-31T06:40:08.030Z"},{"id":"doi:10.1201/9781003731580-7","name":"Bioinspired swarm intelligence algorithms for cooperative UAV systems","source":"crossref","abstract":"","url":"https://doi.org/10.1201/9781003731580-7","authors":["Muhammed Murat Yanaşoğlu","Sarumi Usman Abidemi","Cliford Peter Mlimwa","Sinem Alturjman","Fadi Al-Turjman"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-08-17T16:34:34Z","doi":"10.1201/9781003731580-7","addedAt":"2026-08-31T06:40:08.030Z","updatedAt":"2026-08-31T06:40:08.030Z"},{"id":"doi:10.1016/j.swevo.2024.101748","name":"A multi-strategy optimizer for energy minimization of multi-UAV-assisted mobile edge computing","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.swevo.2024.101748","authors":["Yang Chen","Dechang Pi","Shengxiang Yang","Yue Xu","Bi Wang","Yintong Wang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-10-11T12:11:31Z","doi":"10.1016/j.swevo.2024.101748","addedAt":"2026-08-31T06:40:08.030Z","updatedAt":"2026-08-31T06:40:09.763Z"},{"id":"doi:10.2139/ssrn.7083715","name":"Communication-Efficient Edge–Ground Collaborative Anomaly Detection for Networked UAV Swarm Applications","source":"crossref","abstract":"Networked unmanned aerial vehicle (UAV) swarms are increasingly used as mobile sensing, communication, and edge-computing platforms. However, cyber intrusions and onboard physical faults may jointly affect communication reliability, data integrity, local inference, and service continuity. Existing intrusion detection and fault diagnosis methods are usually designed as separate pipelines, causing redundant onboard computation and inconsistent decisions under constrained air–ground links. This paper proposes LCMDS, a communication-efficient edge–ground collaborative anomaly detection framework for networked UAV swarm applications. LCMDS integrates compact feature representation, lightweight multi-task edge inference, confidence-triggered selective referral, groundside verification, and trust-aware response. High-confidence samples are processed locally, while low-confidence samples are referred through compact packets. Experiments on UAV-AFD show that LCMDS achieves 96.39% Macro-F1 for attack detection and 94.42% Macro-F1 for fault diagnosis. INT8 deployment reduces latency to 1.567 ms with 638 QPS, and only 4.32% of samples are referredwith 30.40 kbps uplink overhead.","url":"https://doi.org/10.2139/ssrn.7083715","authors":["Ning Bai","Xiaoya Hu","Hongliang Gao","Hassan  Jalil Hadi","Shouyue Wang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-07-09T01:41:57Z","doi":"10.2139/ssrn.7083715","addedAt":"2026-08-31T06:40:08.030Z","updatedAt":"2026-08-31T06:40:08.030Z"},{"id":"doi:10.1109/icaiii69475.2026.11521832","name":"AI-Driven Cyber-Resilient UAV Swarm Architecture for Aerospace Missions","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icaiii69475.2026.11521832","authors":["Nayeem Ahmad Khan"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-05-22T19:34:19Z","doi":"10.1109/icaiii69475.2026.11521832","addedAt":"2026-08-31T06:40:08.030Z","updatedAt":"2026-08-31T06:40:08.030Z"},{"id":"doi:10.1109/cac57257.2022.10055628","name":"A Distributed Target Allocation Algorithm for UAV Swarm Confrontation","source":"crossref","abstract":"","url":"https://doi.org/10.1109/cac57257.2022.10055628","authors":["Ziqi Guo","Yuankai Li","Yuan Wang","Xiaosu Tan"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-03-13T17:42:53Z","doi":"10.1109/cac57257.2022.10055628","addedAt":"2026-08-31T06:40:08.030Z","updatedAt":"2026-08-31T06:40:08.030Z"},{"id":"doi:10.1109/icipca59209.2023.10257929","name":"An Improved Particle Swarm Algorithm for UAV Path Planning","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icipca59209.2023.10257929","authors":["Suping Liu"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-09-27T13:32:02Z","doi":"10.1109/icipca59209.2023.10257929","addedAt":"2026-08-31T06:40:08.030Z","updatedAt":"2026-08-31T06:40:08.030Z"},{"id":"doi:10.25212/lfu.qzj.10.3.56","name":"PHL: An Adaptive Multi-Objective Hybrid Algorithm for UAV Swarm Path Planning","source":"crossref","abstract":"","url":"https://doi.org/10.25212/lfu.qzj.10.3.56","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-10-02T08:21:20Z","doi":"10.25212/lfu.qzj.10.3.56","addedAt":"2026-08-31T06:40:08.030Z","updatedAt":"2026-08-31T06:40:08.030Z"},{"id":"doi:10.1109/cac57257.2022.10056011","name":"Classified Collaborative Navigation Algorithm for UAV Swarm in Satellite-denied Environments","source":"crossref","abstract":"","url":"https://doi.org/10.1109/cac57257.2022.10056011","authors":["Haoqian Zhang","Zhihong Deng","Ping Zhang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-03-13T13:42:53Z","doi":"10.1109/cac57257.2022.10056011","addedAt":"2026-08-31T06:40:08.030Z","updatedAt":"2026-08-31T06:40:08.030Z"},{"id":"doi:10.1109/icarcv50220.2020.9305401","name":"UWB System Based UAV Swarm Testbed","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icarcv50220.2020.9305401","authors":["Weihua Zhao","Chiew Soon Hooi"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2021-01-10T05:23:59Z","doi":"10.1109/icarcv50220.2020.9305401","addedAt":"2026-08-31T06:40:08.030Z","updatedAt":"2026-08-31T06:40:08.030Z"},{"id":"doi:10.1109/iccworkshops53468.2022.9814686","name":"Efficient UAV Localization Based on Modified Particle Swarm Optimization","source":"crossref","abstract":"","url":"https://doi.org/10.1109/iccworkshops53468.2022.9814686","authors":["Weizheng Zhang","Wei Zhang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2022-07-11T16:02:54Z","doi":"10.1109/iccworkshops53468.2022.9814686","addedAt":"2026-08-31T06:40:08.030Z","updatedAt":"2026-08-31T06:40:08.030Z"},{"id":"doi:10.1109/icns69853.2026.11570644","name":"Right-of-Way Compliance in UAV Swarm Networks","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icns69853.2026.11570644","authors":["Jacob Hagberg","Paul Snyder","Sreejith Vidhyadharan"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-06-24T19:48:08Z","doi":"10.1109/icns69853.2026.11570644","addedAt":"2026-08-31T06:40:08.030Z","updatedAt":"2026-08-31T06:40:08.030Z"},{"id":"doi:10.3390/drones10070496","name":"UAV Swarm Dynamic Task Allocation via Merged Coordination-Optimized Pigeon-Inspired Optimization","source":"crossref","abstract":"To tackle the dynamic assignment problem of unmanned aerial vehicle (UAV) swarms, a merged coordination-optimized pigeon-inspired optimization (MCOPIO) algorithm based on the pigeon-inspired optimization (PIO) algorithm is proposed in this paper. The algorithm disrupts the original pigeon distribution via random grouping and performs mutual learning and optimization within the new groups. After dynamic optimization, the underperforming pigeons are discarded, and the flock is reorganized. Subsequently, the two stages of the basic PIO are integrated through a dynamic factor. These improvements overcome the limitations of the basic PIO algorithm, such as insufficient global search capability, poor stability, and disconnection between the two algorithm stages. Comparative experiments are conducted with the state-of-the-art intelligent computing algorithms, such as the basic PIO, particle swarm optimization (PSO), genetic algorithm (GA), and improved consensus-based bundle algorithm (ICBBA), the comparative results verify the feasibility and effectiveness of our improved PIO for UAV swarm dynamic task allocation.","url":"https://doi.org/10.3390/drones10070496","authors":["Yingran Zhao","Wenju Hu"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-06-30T05:58:04Z","doi":"10.3390/drones10070496","addedAt":"2026-08-31T06:40:08.030Z","updatedAt":"2026-08-31T06:40:08.030Z"},{"id":"doi:10.55214/25768484.v9i4.6650","name":"Intelligent UAV swarm scheduling algorithm for urban inspection task","source":"crossref","abstract":"This research develops an intelligent UAV swarm scheduling algorithm to optimize urban infrastructure inspection processes by minimizing inspection time while ensuring comprehensive coverage. We formulate the challenge as a mixed integer non-linear programming problem and propose a decomposition approach addressing three critical components: structure-specific path planning, market-based task allocation, and conflict-free scheduling. Our methodology integrates these components through an iterative process within a hybrid centralized-decentralized architecture tailored for urban environments. Simulation results demonstrate that our algorithm reduces inspection time by 35% compared to single-UAV approaches while maintaining 98% coverage completeness. The approach exhibits 40% improved energy efficiency in limited-battery scenarios and polynomial-time computational complexity that scales efficiently with increasing swarm size. The algorithm typically converges within 3-5 iterations to near-optimal solutions. The proposed framework successfully balances inspection quality and resource efficiency while adapting to urban-specific challenges, including GPS degradation, obstacle avoidance, and structural complexity. Structure-specific inspection patterns significantly enhance efficiency across different infrastructure elements. This research advances UAV-based infrastructure monitoring capabilities, offering potential benefits for maintenance planning, public safety, and urban resilience. The computational efficiency makes the solution suitable for deployment on resource-constrained platforms typical in UAV applications.","url":"https://doi.org/10.55214/25768484.v9i4.6650","authors":["Haoyu Xu"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-05-05T04:24:07Z","doi":"10.55214/25768484.v9i4.6650","addedAt":"2026-08-31T06:40:08.030Z","updatedAt":"2026-08-31T06:40:08.030Z"},{"id":"doi:10.1007/978-981-95-8329-4_53","name":"An Unsupervised Grouping Method for UAV Swarm Based on Gaussian Function","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-981-95-8329-4_53","authors":["Guoqi Zeng","Pengyu Shi","Li Yang","Xiaoduo Li","Xuyang Gao","Jia Wang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-05-10T23:14:15Z","doi":"10.1007/978-981-95-8329-4_53","addedAt":"2026-08-31T06:40:08.030Z","updatedAt":"2026-08-31T06:40:08.030Z"},{"id":"doi:10.14464/ess.v9i3.551","name":"Low Latency Reliable Data Sharing Mechanism for UAV Swarm Missions","source":"crossref","abstract":"The use of Unmanned Aerial Vehicle (UAV) swarms is increasing in many commercial applications as well as military applications (such as reconnaissance missions, search and rescue missions). Autonomous UAV swarm systems rely on multi-node interhost communication, which is used in coordination for complex tasks. Reliability and low latency in data transfer play an important role in the maintenance of UAV coordination for these tasks. In these applications, the control of UAVs is performed by autonomous software and any failure in data reception may have catastrophic consequences. On the other hand, there are lots of factors that affect communication link performance such as path loss, interference, etc. in communication technology (WIFI, 5G, etc.), transport layer protocol, network topology, and so on. Therefore, the necessity of reliable and low latency data sharing mechanisms among UAVs comes into prominence gradually. This paper examines available middleware solutions, transport layer protocols, and data serialization formats. Based on evaluation results, this research proposes a middleware concept for mobile wireless networks like UAV swarm systems.","url":"https://doi.org/10.14464/ess.v9i3.551","authors":["Fatih Kilic","Wolfram Hardt"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-01-16T14:41:10Z","doi":"10.14464/ess.v9i3.551","addedAt":"2026-08-31T06:40:08.030Z","updatedAt":"2026-08-31T06:40:08.030Z"},{"id":"doi:10.1007/978-981-95-8329-4_42","name":"Integrated Communication-Navigation-Sensing-Control for Small UAV Swarm: Opportunities, Challenges, and Prospects","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-981-95-8329-4_42","authors":["Yihui Zhu","Shangbin Zhang","Boyan Fu","Baohua Li","Yanjie Zhao"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-05-11T00:16:37Z","doi":"10.1007/978-981-95-8329-4_42","addedAt":"2026-08-31T06:40:08.030Z","updatedAt":"2026-08-31T06:40:08.030Z"},{"id":"doi:10.5772/intechopen.106270","name":"Motion Planning of UAV Swarm: Recent Challenges and Approaches","source":"crossref","abstract":"The unmanned aerial vehicle (UAV) swarm is gaining massive interest for researchers as it has huge significance over a single UAV. Many studies focus only on a few challenges of this complex multidisciplinary group. Most of them have certain limitations. This paper aims to recognize and arrange relevant research for evaluating motion planning techniques and models for a swarm from the viewpoint of control, path planning, architecture, communication, monitoring and tracking, and safety issues. Then, a state-of-the-art understanding of the UAV swarm and an overview of swarm intelligence (SI) are provided in this research. Multiple challenges are considered, and some approaches are presented. Findings show that swarm intelligence is leading in this era and is the most significant approach for UAV swarm that offers distinct contributions in different environments. This integration of studies will serve as a basis for knowledge concerning swarm, create guidelines for motion planning issues, and strengthens support for existing methods. Moreover, this paper possesses the capacity to engender new strategies that can serve as the grounds for future work.","url":"https://doi.org/10.5772/intechopen.106270","authors":["Muhammad Mubashir Iqbal","Zain Anwar Ali","Rehan Khan","Muhammad Shafiq"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2022-08-18T14:10:35Z","doi":"10.5772/intechopen.106270","addedAt":"2026-08-31T06:40:08.030Z","updatedAt":"2026-08-31T06:40:08.030Z"},{"id":"doi:10.1109/khpiweek61412.2023.10312895","name":"Relative navigation of UAV in a swarm","source":"crossref","abstract":"","url":"https://doi.org/10.1109/khpiweek61412.2023.10312895","authors":["Valerii B. Uspenskyi","Natalia V. Shyriaieva"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-11-15T18:50:29Z","doi":"10.1109/khpiweek61412.2023.10312895","addedAt":"2026-08-31T06:40:08.030Z","updatedAt":"2026-08-31T06:40:08.030Z"},{"id":"doi:10.2514/6.2010-8361","name":"Modeling Urban Environments for Communication-Aware UAV Swarm Path Planning","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2010-8361","authors":["Hans Claus Christmann","Eric Johnson"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2013-12-03T19:12:15Z","doi":"10.2514/6.2010-8361","addedAt":"2026-08-31T06:40:08.030Z","updatedAt":"2026-08-31T06:40:08.030Z"},{"id":"doi:10.36227/techrxiv.175951131.15022484/v1","name":"A Supervised and Transfer Learning Based Two-Stage Framework for UAV Swarm Multi-Target Tracking","source":"crossref","abstract":"The Cooperative Multi-Robot Observation of Multiple Moving Targets (CMOMMT) is a representative task in IoTenabled applications. In this task, UAV swarm aim to maximize the average observation rate by tracking previously detected targets while searching for undetected ones. However, these two objectives present a trade-off, requiring effective coordination strategies to balance. Traditional methods, such as heuristic optimization and reinforcement learning(RL), often struggle with generalization and are difficult to train in complex multi-agent scenarios. To overcome these limitations, we propose a Supervised and Transfer Learning Framework (STLF), a two-stage architecture for UAV swarm coordination. In the first stage, a Teacher Model is trained under the assumption of full access to undetected target positions, generating near-optimal actions. In the second stage, a Student Model is initialized with the Teacher's knowledge and fine-tuned via transfer learning, using a probabilistic map to approximate undetected target position under realistic constraints. Furthermore, by introducing a Lévy flight-based motion model, we expose the limitations of random walk-based models used in previous studies, which tend to underestimate the complexity of realistic target movements. Experimental results demonstrate the effectiveness of our approach, with the STLF achieving an average observation rate of 40.75%, outperforming all five baselines by 5.92% to 14.93% across various settings.","url":"https://doi.org/10.36227/techrxiv.175951131.15022484/v1","authors":["Haoran Sun","Xianfeng Li","Yicheng Yan","Tong Jiang","Bo Liu"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-10-03T17:08:41Z","doi":"10.36227/techrxiv.175951131.15022484/v1","addedAt":"2026-08-31T06:40:08.030Z","updatedAt":"2026-08-31T06:40:08.030Z"},{"id":"doi:10.20517/ir.2023.27","name":"Examining application-specific resiliency implementations in UAV swarm scenarios","source":"crossref","abstract":"The number of real-world scenarios where the use of an unmanned aerial vehicle (UAV) swarm is beneficial has greatly increased in recent years. From precision agriculture to forest fire monitoring, post-disaster search and rescue applications, to military use, the applications are widespread. While it is a perceived requirement that all UAV swarms be inherently resilient, in reality, it is often not so. The incorporation of resilient mechanisms depends on an application usage scenario. This study examines a comprehensive range of application scenarios for UAV swarms to bring forward the multitude of components that work together to provide a measure of resilience to the overall swarm. A three-category scheme is used to classify swarm applications. While systemic resilience is an interconnected concept, most real-world applications of UAV swarm research focus on making certain components resilient to disturbances. A broad categorization of UAV swarm applications, categorized by recognized components and modules, is presented, and prevalent approaches for novel resilience mechanisms in each category are discussed.","url":"https://doi.org/10.20517/ir.2023.27","authors":["Abhishek Phadke","F. Antonio Medrano"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-09-26T06:36:33Z","doi":"10.20517/ir.2023.27","addedAt":"2026-08-31T06:40:08.030Z","updatedAt":"2026-08-31T06:40:08.030Z"},{"id":"doi:10.1109/icca69928.2026.11618197","name":"Skeletal Virtual Tube Generation for Urban UAV Swarm Navigation","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icca69928.2026.11618197","authors":["Xunhua Dai","Yuting Liao"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-08-04T19:14:09Z","doi":"10.1109/icca69928.2026.11618197","addedAt":"2026-08-31T06:40:08.030Z","updatedAt":"2026-08-31T06:40:08.030Z"},{"id":"doi:10.1109/icce-asia63397.2024.10773993","name":"Optimizing UAV Swarm-Based Cooperative Transmission Using OTFS Modulation","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icce-asia63397.2024.10773993","authors":["Usman Iqbal","Haejoon Jung"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-01-10T19:59:29Z","doi":"10.1109/icce-asia63397.2024.10773993","addedAt":"2026-08-31T06:40:08.030Z","updatedAt":"2026-08-31T06:40:09.763Z"},{"id":"doi:10.2514/6.2026-4648","name":"Simulation-Based Analysis of Autonomous UAV Swarm Spraying for Precision Agriculture","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2026-4648","authors":["Ryker Davis","Neelakshi Majumdar","Cengiz Koparan"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-06-04T17:45:42Z","doi":"10.2514/6.2026-4648","addedAt":"2026-08-31T06:40:08.030Z","updatedAt":"2026-08-31T06:40:08.030Z"},{"id":"doi:10.14445/23488387/ijcse-v12i9p104","name":"Limitations of Boid Algorithms in UAV Swarm Control: A Simulation-Based Analysis","source":"crossref","abstract":"","url":"https://doi.org/10.14445/23488387/ijcse-v12i9p104","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-10-22T11:56:12Z","doi":"10.14445/23488387/ijcse-v12i9p104","addedAt":"2026-08-31T06:40:08.030Z","updatedAt":"2026-08-31T06:40:08.030Z"},{"id":"doi:10.3390/electronics11203372","name":"Joint Optimization Method of Spectrum Resource for UAV Swarm Information Transmission","source":"crossref","abstract":"For the problems brought by malicious interference in the unmanned aerial vehicle (UAV) swarm network, we establish a cluster-based UAV swarm information transmission model. We mainly consider four aspects: cluster head selection, channel allocation, power allocation and UAV position. In order to improve the backhaul information rate of UAV swarm, we propose a joint optimization method of spectrum resource with the goal of maximizing the sum throughput of the cluster head UAV. We decompose the original mixed integer nonlinear programming (MINLP) problem into multiple sub-problems based on the block coordinate descent (BCD) technique, and then solve them based on convex optimization and successive convex approximation (SCA) technique. Simulation results show that the proposed method can obtain the spectrum resource optimization strategy of UAV swarm information transmission, reduce the impact of malicious interference, and effectively improve the backhaul information rate of UAV swarm.","url":"https://doi.org/10.3390/electronics11203372","authors":["Di Wu","Yu Zhang","Yong Chen"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2022-10-19T20:32:23Z","doi":"10.3390/electronics11203372","addedAt":"2026-08-31T06:40:08.030Z","updatedAt":"2026-08-31T06:40:08.030Z"},{"id":"doi:10.1007/978-981-16-9492-9_51","name":"UAV Swarm Trajectory Planning Based on a Novel Particle Swarm Optimization","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-981-16-9492-9_51","authors":["Jing Luo","Jie Liu","QianChao Liang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2022-03-18T00:21:51Z","doi":"10.1007/978-981-16-9492-9_51","addedAt":"2026-08-31T06:40:08.030Z","updatedAt":"2026-08-31T06:40:08.030Z"},{"id":"doi:10.3389/fnbot.2026.1799054","name":"A cognitive synergetic hierarchical framework for UAV swarm combat via speculative inference and role-decoupled reinforcement learning.","source":"europepmc","abstract":"In the high-stakes arena of aerial combat-a domain defined by extreme dynamics and unforgiving physical constraints-UAV swarms are currently squeezed between two extremes: the \"tactical short-sightedness\" of Multi-Agent Reinforcement Learning (MARL) and the \"inference lag\" of Large Language Models (LLMs). While MARL struggles to internalize the complex maneuverability priors required for expert flight, LLMs are simply too heavy to meet millisecond-level control demands. We bridge this gap by introducing a cognitive synergetic hierarchical framework that decouples strategic reasoning from tactical execution. Our architecture splits the workload between a \"Strategic Brain\" and a \"Tactical Torso.\" For the Brain, we utilize a synergy between DeepSeek-R1 (70B) and its 7B distilled counterpart to create a collaborative inference engine. By capitalizing on the inherent sparsity of tactical logic in air combat, we implemented a speculative decoding mechanism that achieves an effective boost in decision throughput while maintaining the deep logic of the full 70B model. For the Torso, we developed an enhanced MAPPO algorithm that processes relative pose graphs via graph attention. By integrating a KL-divergence constraint into the loss function, we essentially force agents with different payloads-like scouts and attackers-to evolve specialized tactical personalities within a shared latent space. Experimental results using the JSBSim high-fidelity 6-DOF engine demonstrate that the swarm does more than just improve its exchange ratio. Further t-SNE manifold analysis and Chain-of-Thought visualizations confirm that our architecture successfully aligns symbolic intent with raw physical control. Most notably, through our \"decision-reflection-evolution\" loop, the system proved it could diagnose its own failures, and iteratively refine its own tactical instructions.","url":"https://doi.org/10.3389/fnbot.2026.1799054","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.3389/fnbot.2026.1799054","addedAt":"2026-08-31T06:40:08.030Z","updatedAt":"2026-08-31T06:40:09.763Z"},{"id":"doi:10.3390/s26165164","name":"Fisher-Information-Based Cooperative Sensor Node Pre-Selection for UWB-Aided GNSS-Denied UAV Swarm Localization Under Heterogeneous Ranging Noise.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s26165164","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.3390/s26165164","addedAt":"2026-08-31T06:40:08.030Z","updatedAt":"2026-08-31T06:40:08.030Z"},{"id":"doi:10.1016/j.heliyon.2024.e37819","name":"An enhanced snow ablation optimizer for UAV swarm path planning and engineering design problems.","source":"pubmed","abstract":"","url":"https://doi.org/10.1016/j.heliyon.2024.e37819","authors":["Jinyi Xie","Jiacheng He","Zehua Gao","Shiya Wang","Jingrui Liu","Hanwen Fan","Xie J","He J","Gao Z","Wang S","Liu J","Fan H"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.1016/j.heliyon.2024.e37819","addedAt":"2026-08-31T06:40:08.030Z","updatedAt":"2026-08-31T06:40:09.764Z"},{"id":"doi:10.21203/rs.3.rs-10812590/v1","name":"Cyber-Resilience and Trust-Aware Command Authorization for Autonomous UAV Swarms in GPS-Denied Environments","source":"europepmc","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-10812590/v1","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.21203/rs.3.rs-10812590/v1","addedAt":"2026-08-31T06:40:08.030Z","updatedAt":"2026-08-31T06:40:08.031Z"},{"id":"doi:10.14293/pr2199.004356.v1","name":"Edge-Enabled Autonomous UAV Systems for Disaster Management: Integrating Social Intelligence, Vision-Language Models, and Computational Sensing","source":"europepmc","abstract":"","url":"https://doi.org/10.14293/pr2199.004356.v1","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.14293/pr2199.004356.v1","addedAt":"2026-08-31T06:40:08.030Z","updatedAt":"2026-08-31T06:40:08.031Z"},{"id":"doi:10.20944/preprints202608.0833.v1","name":"A Communication-Aware Path Planning Algorithm for Power Inspection UAVs Using an Improved Grey Wolf Optimizer","source":"europepmc","abstract":"","url":"https://doi.org/10.20944/preprints202608.0833.v1","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.20944/preprints202608.0833.v1","addedAt":"2026-08-31T06:40:08.030Z","updatedAt":"2026-08-31T06:40:08.031Z"},{"id":"doi:10.20944/preprints202608.1958.v1","name":"Towards the Low Speed and Highly Agile UAV through a Novel Fuselage Design, Slender Leading Edge Extensions and the Wake Ingestion Concept","source":"europepmc","abstract":"","url":"https://doi.org/10.20944/preprints202608.1958.v1","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.20944/preprints202608.1958.v1","addedAt":"2026-08-31T06:40:08.030Z","updatedAt":"2026-08-31T06:40:08.031Z"},{"id":"doi:10.21203/rs.3.rs-10812592/v1","name":"Policy-Gated Firmware Trust and Anti-Rollback Resilience for Autonomous UAV Edge Platforms: A Formal Security and Software Validation","source":"europepmc","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-10812592/v1","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.21203/rs.3.rs-10812592/v1","addedAt":"2026-08-31T06:40:08.030Z","updatedAt":"2026-08-31T06:40:08.031Z"},{"id":"doi:10.14293/pr2199.004305.v1","name":"Autonomous Rescue Robots for Post-Disaster Search, Navigation, and Victim Assistance","source":"europepmc","abstract":"","url":"https://doi.org/10.14293/pr2199.004305.v1","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.14293/pr2199.004305.v1","addedAt":"2026-08-31T06:40:08.030Z","updatedAt":"2026-08-31T06:40:08.031Z"},{"id":"doi:10.3390/biomimetics11010069","name":"Large-Scale Multi-UAV Task Allocation via a Centrality-Driven Load-Aware Adaptive Consensus Bundle Algorithm for Biomimetic Swarm Coordination.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/biomimetics11010069","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.3390/biomimetics11010069","addedAt":"2026-08-31T06:40:08.030Z","updatedAt":"2026-08-31T06:40:08.030Z"},{"id":"doi:10.21203/rs.3.rs-8649215/v1","name":"Multi-UAV collaborative path planning base on CycA-MASAC Reinforcement Learning in GPS-denied Environment","source":"europepmc","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-8649215/v1","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.21203/rs.3.rs-8649215/v1","addedAt":"2026-08-31T06:40:08.030Z","updatedAt":"2026-08-31T06:40:08.031Z"},{"id":"doi:10.3390/s26123778","name":"A Resilient Cloud-Edge Digital Twin Framework for Urban UAV Logistics Under 3D Blockages and ADS-B Signal Anomalies.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s26123778","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.3390/s26123778","addedAt":"2026-08-31T06:40:08.030Z","updatedAt":"2026-08-31T06:40:08.030Z"},{"id":"doi:10.3390/s26092849","name":"Chasing Ghosts: A Simulation-to-Real Olfactory Navigation Stack with Optional Vision Augmentation.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s26092849","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.3390/s26092849","addedAt":"2026-08-31T06:40:08.030Z","updatedAt":"2026-08-31T06:40:08.030Z"},{"id":"doi:10.21203/rs.3.rs-9297942/v1","name":"Robust Distributed Control Strategy forFormation Reconfiguration of Autonomous Multi-UAV Systems Using Flocking Behavior","source":"europepmc","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-9297942/v1","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.21203/rs.3.rs-9297942/v1","addedAt":"2026-08-31T06:40:08.030Z","updatedAt":"2026-08-31T06:40:08.031Z"},{"id":"doi:10.21203/rs.3.rs-8771054/v1","name":"Distributed Multi-UAV MARL for Joint Relay Connectivity and Aerial Sensing in Post-Disaster Networks","source":"europepmc","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-8771054/v1","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.21203/rs.3.rs-8771054/v1","addedAt":"2026-08-31T06:40:08.030Z","updatedAt":"2026-08-31T06:40:08.031Z"},{"id":"doi:10.21203/rs.3.rs-8726864/v1","name":"Lightweight Online Offline Authenticated Encryption for Secure UAV Systems","source":"europepmc","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-8726864/v1","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.21203/rs.3.rs-8726864/v1","addedAt":"2026-08-31T06:40:08.030Z","updatedAt":"2026-08-31T06:40:08.031Z"},{"id":"doi:10.3390/biomimetics11040268","name":"Multi-Head Attention Deep Q-Network with Prioritized Experience Replay for UAV Path Planning in Dynamic Environments: A Bio-Inspired Approach.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/biomimetics11040268","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.3390/biomimetics11040268","addedAt":"2026-08-31T06:40:08.030Z","updatedAt":"2026-08-31T06:40:08.030Z"},{"id":"doi:10.20944/preprints202602.1104.v1","name":"Adaptive Formation Control for Multi-UAV Swarms in Cluttered Environments with Communication Delays under Directed Switching Topologies","source":"europepmc","abstract":"","url":"https://doi.org/10.20944/preprints202602.1104.v1","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.20944/preprints202602.1104.v1","addedAt":"2026-08-31T06:40:08.030Z","updatedAt":"2026-08-31T06:40:08.031Z"},{"id":"doi:10.3390/s26103253","name":"Early Detection of Spoofing Threats and Network Resilience Prediction in Drones Based on GRU and LSTM.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s26103253","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.3390/s26103253","addedAt":"2026-08-31T06:40:08.030Z","updatedAt":"2026-08-31T06:40:08.030Z"},{"id":"doi:10.3390/s25216554","name":"A Resilient Distributed Pareto-Based PSO for Edge-UAVs Deployment Optimization in Internet of Flying Things.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s25216554","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.3390/s25216554","addedAt":"2026-08-31T06:40:08.030Z","updatedAt":"2026-08-31T06:40:08.030Z"},{"id":"doi:10.1371/journal.pone.0348501","name":"Outage performance of UAV-NOMA networks over rician faded channel with hardware impairments, channel estimation error, and SIC imperfection.","source":"europepmc","abstract":"","url":"https://doi.org/10.1371/journal.pone.0348501","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.1371/journal.pone.0348501","addedAt":"2026-08-31T06:40:08.030Z","updatedAt":"2026-08-31T06:40:08.030Z"},{"id":"doi:10.3390/s25226925","name":"A Physics-Informed Residual and Particle Swarm Optimization Framework for Physics-Informed UAV GPS Spoofing Detection.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s25226925","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.3390/s25226925","addedAt":"2026-08-31T06:40:08.030Z","updatedAt":"2026-08-31T06:40:08.030Z"},{"id":"doi:10.1016/j.mex.2025.103777","name":"An in depth investigation on device-to-device communication in heterogeneous networks: opportunities and challenges.","source":"europepmc","abstract":"","url":"https://doi.org/10.1016/j.mex.2025.103777","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.1016/j.mex.2025.103777","addedAt":"2026-08-31T06:40:08.030Z","updatedAt":"2026-08-31T06:40:08.030Z"},{"id":"doi:10.1016/j.apergo.2016.05.011","name":"A meta-analysis of human-system interfaces in unmanned aerial vehicle (UAV) swarm management.","source":"europepmc","abstract":"","url":"https://doi.org/10.1016/j.apergo.2016.05.011","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2017","doi":"10.1016/j.apergo.2016.05.011","addedAt":"2026-08-31T06:40:08.030Z","updatedAt":"2026-08-31T06:40:08.030Z"},{"id":"doi:10.1038/s41598-026-54288-4","name":"A hybrid fungal growth and differential evolution algorithm for energy-efficient UAV trajectory planning in MEC.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41598-026-54288-4","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.1038/s41598-026-54288-4","addedAt":"2026-08-31T06:40:08.030Z","updatedAt":"2026-08-31T06:40:08.030Z"},{"id":"doi:10.1038/s41598-026-46462-5","name":"A Lie group-based hybrid optimization framework for multi-objective UAV path planning using L-VGWO.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41598-026-46462-5","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.1038/s41598-026-46462-5","addedAt":"2026-08-31T06:40:08.030Z","updatedAt":"2026-08-31T06:40:08.030Z"},{"id":"doi:10.1038/s41598-025-23522-w","name":"Hybrid Harris Hawks optimization with eagle strategy particle swarm optimization for stability and disturbance rejection in tethered UAV systems.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41598-025-23522-w","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.1038/s41598-025-23522-w","addedAt":"2026-08-31T06:40:08.030Z","updatedAt":"2026-08-31T06:40:08.030Z"},{"id":"doi:10.21203/rs.3.rs-8179789/v1","name":"UAV-Assisted Cooperative Vehicular Communication: Modelling, Optimization, and Performance Analysis","source":"europepmc","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-8179789/v1","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.21203/rs.3.rs-8179789/v1","addedAt":"2026-08-31T06:40:08.030Z","updatedAt":"2026-08-31T06:40:08.031Z"},{"id":"doi:10.1038/s41598-025-30410-w","name":"Reliability-oriented framework for UAV-based inspection missions in modern power and energy systems.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41598-025-30410-w","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.1038/s41598-025-30410-w","addedAt":"2026-08-31T06:40:08.030Z","updatedAt":"2026-08-31T06:40:08.030Z"},{"id":"doi:10.3390/s26113377","name":"Benchmarking Multilayer Perceptron Configurations for Damage Classification in UAV Composite Wings Using Fiber Bragg Gratings Sensors.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s26113377","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.3390/s26113377","addedAt":"2026-08-31T06:40:08.030Z","updatedAt":"2026-08-31T06:40:09.763Z"},{"id":"doi:10.1038/s41598-026-35196-z","name":"An intelligent bio-inspired multi-objective and scalable UAV-assisted clustering algorithm in flying ad hoc networks.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41598-026-35196-z","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.1038/s41598-026-35196-z","addedAt":"2026-08-31T06:40:08.031Z","updatedAt":"2026-08-31T06:40:09.763Z"},{"id":"doi:10.1038/s41598-026-42180-0","name":"Harnessing multi-modal deep learning for multi-drone navigation-based trajectory prediction system.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41598-026-42180-0","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.1038/s41598-026-42180-0","addedAt":"2026-08-31T06:40:08.031Z","updatedAt":"2026-08-31T06:40:09.763Z"},{"id":"doi:10.3390/biomimetics11060361","name":"A Hybrid Metaheuristic for High-Dimensional Constrained Optimization: Applications to Logistics and UAV Path Planning.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/biomimetics11060361","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.3390/biomimetics11060361","addedAt":"2026-08-31T06:40:08.031Z","updatedAt":"2026-08-31T06:40:08.031Z"},{"id":"doi:10.21203/rs.3.rs-6508231/v1","name":"Multi-Agent Deep Reinforcement Learning for Cooperative Path Planning of UAV Swarms","source":"europepmc","abstract":"Abstract Collaborative path planning for UAV swarms in dynamic uncertain environments faces dual challenges of partial observability and cooperation mechanism design. The decentralized decision-making nature of multi-agent reinforcement learning (MARL) establishes a novel theoretical framework for autonomous coordination of heterogeneous UAV swarms under partially observable conditions. This paper proposes a reciprocity reward-enhanced multi-agent deep reinforcement learning method (PMI-MADDPG) that optimizes UAV cooperative decision-making through a centralized training with decentralized execution framework. By constructing a partially observable Markov decision process (POMDP) model, we design continuous action spaces considering UAV kinematic constraints, and quantify inter-agent state dependencies using pointwise mutual information. A novel cooperative coefficient estimation network is introduced to dynamically balance individual rewards and swarm-level objectives. Simulation results demonstrate that compared to conventional multi-agent methods, PMI-MADDPG shows significant advantages in task reward acquisition and network convergence efficiency, while revealing the impact of UAV quantity on system stability. The proposed approach provides an innovative solution for cooperative path planning tasks of UAV swarms in complex environments.","url":"https://doi.org/10.21203/rs.3.rs-6508231/v1","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.21203/rs.3.rs-6508231/v1","addedAt":"2026-08-31T06:40:08.031Z","updatedAt":"2026-08-31T06:40:08.031Z"},{"id":"doi:10.1038/s41598-025-20978-8","name":"An efficient coverage path planning method for UAV in complex concave regions.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41598-025-20978-8","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.1038/s41598-025-20978-8","addedAt":"2026-08-31T06:40:08.031Z","updatedAt":"2026-08-31T06:40:08.031Z"},{"id":"doi:10.1371/journal.pone.0344989","name":"A distributed differential game approach to trajectory planning for offshore wind farm inspection.","source":"europepmc","abstract":"","url":"https://doi.org/10.1371/journal.pone.0344989","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.1371/journal.pone.0344989","addedAt":"2026-08-31T06:40:08.031Z","updatedAt":"2026-08-31T06:40:08.031Z"},{"id":"doi:10.1016/j.isatra.2026.04.036","name":"Prescribed-time bearing-based time-varying formation control for multi-agent system.","source":"europepmc","abstract":"","url":"https://doi.org/10.1016/j.isatra.2026.04.036","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.1016/j.isatra.2026.04.036","addedAt":"2026-08-31T06:40:08.031Z","updatedAt":"2026-08-31T06:40:08.031Z"},{"id":"doi:10.1038/s41598-026-35259-1","name":"Iterative localization method for multiple jammers in UAV collaborative jamming attacks.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41598-026-35259-1","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.1038/s41598-026-35259-1","addedAt":"2026-08-31T06:40:08.031Z","updatedAt":"2026-08-31T06:40:08.031Z"},{"id":"doi:10.3390/s25247463","name":"Transformer-Based Soft Actor-Critic for UAV Path Planning in Precision Agriculture IoT Networks.","source":"europepmc","abstract":"Multi-agent path planning for Unmanned Aerial Vehicles (UAVs) in agricultural data collection tasks presents a significant challenge, requiring sophisticated coordination to ensure efficiency and avoid conflicts. Existing multi-agent reinforcement learning (MARL) algorithms often struggle with high-dimensional state spaces, continuous action domains, and complex inter-agent dependencies. To address these issues, we propose a novel algorithm, Multi-Agent Transformer-based Soft Actor-Critic (MATRS). Operating on the Centralized Training with Decentralized Execution (CTDE) paradigm, MATRS enables safe and efficient collaborative data collection and trajectory optimization. By integrating a Transformer encoder into its centralized critic network, our approach leverages the self-attention mechanism to explicitly model the intricate relationships between agents, thereby enabling a more accurate evaluation of the joint action-value function. Through comprehensive simulation experiments, we evaluated the performance of MATRS against established baseline algorithms (MADDPG, MATD3, and MASAC) in scenarios with varying data loads and problem scales. The results demonstrate that MATRS consistently achieves faster convergence and shorter task completion times. Furthermore, in scalability experiments, MATRS learned an efficient \"task-space partitioning\" strategy, where the UAV swarm autonomously divides the operational area for conflict-free coverage. These findings indicate that combining attention-based architectures with Soft Actor-Critic learning offers a potent and scalable solution for high-performance multi-UAV coordination in IoT data collection tasks.","url":"https://doi.org/10.3390/s25247463","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.3390/s25247463","addedAt":"2026-08-31T06:40:08.031Z","updatedAt":"2026-08-31T06:40:08.031Z"},{"id":"doi:10.1038/s41598-025-31821-5","name":"Smart weather aware drone sink SWADS for reliable and energy efficient agricultural wireless sensor networks.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41598-025-31821-5","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.1038/s41598-025-31821-5","addedAt":"2026-08-31T06:40:08.031Z","updatedAt":"2026-08-31T06:40:08.031Z"},{"id":"doi:10.3390/s25206295","name":"Multi-Domain Robot Swarm for Industrial Mapping and Asset Monitoring: Technical Challenges and Solutions.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s25206295","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.3390/s25206295","addedAt":"2026-08-31T06:40:08.031Z","updatedAt":"2026-08-31T06:40:09.763Z"},{"id":"doi:10.3390/s26103247","name":"Autonomous UAV Target Search Method Based on Lightweight YOLOv8n and Coverage Path Planning.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s26103247","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.3390/s26103247","addedAt":"2026-08-31T06:40:08.031Z","updatedAt":"2026-08-31T06:40:08.031Z"},{"id":"doi:10.1038/s41598-025-29697-6","name":"ISAC based seamless handover solution for SAGIN in high mobility environments.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41598-025-29697-6","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.1038/s41598-025-29697-6","addedAt":"2026-08-31T06:40:08.031Z","updatedAt":"2026-08-31T06:40:08.031Z"},{"id":"doi:10.1038/s41598-025-30429-z","name":"Modeling and simulation of dual-battery FANET system using MADRL for energy optimization.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41598-025-30429-z","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.1038/s41598-025-30429-z","addedAt":"2026-08-31T06:40:08.031Z","updatedAt":"2026-08-31T06:40:08.031Z"},{"id":"doi:10.3390/s26051446","name":"Soft-Centralized Spectrum Resource Management in UAV-Assisted MANETs from Aggregate Multi-Hop Information Efficiency.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s26051446","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.3390/s26051446","addedAt":"2026-08-31T06:40:08.031Z","updatedAt":"2026-08-31T06:40:08.031Z"},{"id":"doi:10.3389/fpls.2025.1658254","name":"Optimizing nitrogen topdressing for winter wheat by coupling remote sensing data with the DSSAT model.","source":"europepmc","abstract":"","url":"https://doi.org/10.3389/fpls.2025.1658254","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.3389/fpls.2025.1658254","addedAt":"2026-08-31T06:40:08.031Z","updatedAt":"2026-08-31T06:40:09.763Z"},{"id":"doi:10.3390/biomimetics10110765","name":"MEIAO: A Multi-Strategy Enhanced Information Acquisition Optimizer for Global Optimization and UAV Path Planning.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/biomimetics10110765","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.3390/biomimetics10110765","addedAt":"2026-08-31T06:40:08.031Z","updatedAt":"2026-08-31T06:40:08.031Z"},{"id":"doi:10.1038/s41598-026-37211-9","name":"Safe formation scaling and motion planning for heterogeneous UAV-UGV teams in cluttered environments.","source":"europepmc","abstract":"Heterogeneous UAV-UGV formations offer significant potential for autonomous missions; however, achieving stable three-dimensional (3-D) formation control with collision-free navigation in dense obstacle environments remains challenging due to heterogeneous dynamics, unknown external disturbances, and strict real-time computational constraints. This paper proposes a distributed rigid graph-based adaptive safe artificial potential field (RG-ASAPF) framework that tightly integrates formation control and motion planning for heterogeneous multi-UAV-UGV systems. The proposed framework addresses three key challenges: (i) maintaining continuous formation integrity during obstacle avoidance, thereby avoiding the conventional disassembly-recovery process; (ii) enabling vertical coordination between UAV and UGV layers with prescribed inter-layer spacing; and (iii) supporting dynamic formation reconfiguration through time-varying scaling to safely navigate narrow passages. A backstepping-based adaptive formation controller is developed using rigid graph theory to enforce distance consensus under Euler-Lagrange dynamics, explicitly accounting for underactuated UAVs and nonholonomic UGVs. An adaptive safe artificial potential field with Widrow-Hoff-based online repulsion tuning generates smooth, collision-free trajectories while respecting formation footprint constraints. Rigorous Lyapunov analysis establishes exponential convergence of formation errors and global uniform ultimate boundedness (GUUB) of tracking errors in the presence of bounded disturbances. Furthermore, a safety-certified fallback mechanism with corridor-aware rerouting enhances robustness when clearance constraints are violated. Extensive simulations involving sparse and dense obstacle environments, formation scaling maneuvers, dynamic obstacles, and formation maneuvers featuring more agents demonstrate that the proposed framework outperforms model predictive control, particle swarm optimization, and conventional artificial potential field methods in terms of computational efficiency, trajectory smoothness, formation stability, and energy consumption. These results highlight the effectiveness of the proposed approach for heterogeneous multi-domain robotic applications such as disaster response, surveillance, and cooperative logistics.","url":"https://doi.org/10.1038/s41598-026-37211-9","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.1038/s41598-026-37211-9","addedAt":"2026-08-31T06:40:08.031Z","updatedAt":"2026-08-31T06:40:08.031Z"},{"id":"doi:10.3389/frobt.2026.1792384","name":"Multi-strategy Sea Horse Optimization algorithm for UAV path planning.","source":"europepmc","abstract":"","url":"https://doi.org/10.3389/frobt.2026.1792384","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.3389/frobt.2026.1792384","addedAt":"2026-08-31T06:40:08.031Z","updatedAt":"2026-08-31T06:40:09.763Z"},{"id":"doi:10.3390/s25092887","name":"Cluster Networking and Cooperative Localization Based on Biogeography Optimization and Improved Super-Multidimensional Scaling for Multi-Unmanned Aerial Vehicles.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s25092887","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.3390/s25092887","addedAt":"2026-08-31T06:40:08.031Z","updatedAt":"2026-08-31T06:40:08.031Z"},{"id":"doi:10.3390/s25227032","name":"A Hierarchical PSMC-LQR Control Framework for Accurate Quadrotor Trajectory Tracking.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s25227032","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.3390/s25227032","addedAt":"2026-08-31T06:40:08.031Z","updatedAt":"2026-08-31T06:40:08.031Z"},{"id":"doi:10.1186/s13638-025-02535-z","name":"Aerial BS location optimization for monitoring multiple forest areas with uplink UAV throughput requirements.","source":"europepmc","abstract":"","url":"https://doi.org/10.1186/s13638-025-02535-z","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.1186/s13638-025-02535-z","addedAt":"2026-08-31T06:40:08.031Z","updatedAt":"2026-08-31T06:40:08.031Z"},{"id":"doi:10.1038/s41598-025-25863-y","name":"Quantum-enhanced artificial potential field method for robust drone swarm shape formation.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41598-025-25863-y","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.1038/s41598-025-25863-y","addedAt":"2026-08-31T06:40:08.031Z","updatedAt":"2026-08-31T06:40:08.031Z"},{"id":"doi:10.1038/s41598-025-21343-5","name":"Stochastic geometry analysis of UAV-assisted networks with probabilistic UAV activation.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41598-025-21343-5","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.1038/s41598-025-21343-5","addedAt":"2026-08-31T06:40:08.031Z","updatedAt":"2026-08-31T06:40:08.031Z"},{"id":"doi:10.21203/rs.3.rs-7872485/v1","name":"MultiRRT-PSO-Based Cooperative Path Planning for Unmanned Aerial Vehicles","source":"europepmc","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-7872485/v1","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.21203/rs.3.rs-7872485/v1","addedAt":"2026-08-31T06:40:08.031Z","updatedAt":"2026-08-31T06:40:08.031Z"},{"id":"doi:10.48550/arxiv.2608.27973","name":"Toward Secure Communications for a UAV Swarm with Movable Antennas in SAGIN: CKM-Enabled Multi-Agent Reinforcement Learning Framework","source":"datacite","abstract":"Space-air-ground integrated networks (SAGINs) can provide ubiquitous and reliable connectivity for unmanned aerial vehicles (UAVs). However, air-to-ground links, which are typically dominated by line-of-sight (LoS) propagation, are vulnerable to passive eavesdropping due to the broadcast nature of wireless channels. To enhance physical-layer security, we investigate a SAGIN-enabled secure downlink communication system in which UAVs select service links among satellite, aerial, and terrestrial networks while adjusting the positions of the movable antenna (MA) array to fully exploit connectivity and spatial degrees of freedom for improved secrecy communication performance. Specifically, we maximize the secrecy energy efficiency (SEE) of a UAV swarm by jointly optimizing the MA positions, UAV trajectories, and link selections, subject to UAV mobility, MA movement, and link connectivity constraints. To reduce the real-time channel state information (CSI) acquisition overhead, we propose a channel knowledge map (CKM)-assisted multi-agent reinforcement learning framework. Specifically, the CKM is first constructed from sparse channel measurements via Kriging interpolation and is then leveraged together with satellite ephemeris information to enable efficient storage and retrieval of CSI. To reduce the action-space dimensionality and computational complexity, we model the MA array using rigid-body kinematics and adjust its position through global rigid-body translation, thereby constructing a low-dimensional hybrid action space for the joint optimization decisions. To align local decisions with system-wide performance under system constraints, we design an individual-team collaborative reward mechanism and introduce action masks to enforce constraints on UAV mobility, collision avoidance, MA regions, and connectivity capacity.","url":"https://doi.org/10.48550/arxiv.2608.27973","authors":["Wan, Jiayang","Wang, Yafei","Zhuang, Jiawei","Wang, Wenjin","Quek, Tony Q. S."],"tags":["Signal Processing (eess.SP)","FOS: Electrical engineering, electronic engineering, information engineering"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.48550/arxiv.2608.27973","addedAt":"2026-08-31T06:40:08.031Z","updatedAt":"2026-08-31T06:40:08.031Z"},{"id":"doi:10.5281/zenodo.22172207","name":"Universal Acoustic Resonance Imaging: Super-Resolution Multi-Source Localization and Spatial Energy Condensation across Sub-Wavelength Acoustic Arrays via RPU Physical Continuum Acceleration","source":"datacite","abstract":"QuantNature Global Technical White Paper (Document ID: QN-UARI-2026-V1) Title Universal Acoustic Resonance Imaging (UARI): Super-Resolution Multi-Source Localization and Spatial Energy Condensation across Sub-Wavelength Acoustic Arrays via RPU Physical Continuum Acceleration Author: QuantNature Global (https://www.quantnature.com)Release Date: August 30, 2026Document Version: v1.0 (Digital Twin & HIL Baseline) Executive Summary & Abstract Conventional acoustic phased arrays and industrial sonic cameras constrained by sub-wavelength apertures (D ≤ 71 mm, where D < λ) suffer from substantial diffraction beam broadening (θ ≥ 70°). Consequently, closely spaced acoustic emitters—such as formation-flight UAV swarms in tactical perimeter surveillance or concurrent micro-leakages in pressurized industrial infrastructure—collapse into single, irresolvable energy blobs under linear Delay-and-Sum (DAS) beamforming. This technical white paper formalizes Universal Acoustic Resonance Imaging (UARI), a dual-use computational physics architecture that achieves super-resolution localization by transforming incoming multi-harmonic acoustic phase streams into declarative potential energy landscapes (Vbias) across the 100,000-node physical continuum of the Resonance Processing Unit (RPU). By combining multi-harmonic relative phase coherence with continuous non-linear substrate relaxation, broad point-spread lobes autonomously condense into discrete, localized ground-state limit cycles (Emin), naturally suppressing secondary multi-path room reverberations and background noise. Key Empirical Outcomes (Digital Twin & HIL Benchmarking) Evaluated via a high-fidelity numerical acoustic digital twin coupled with real-time Hardware-in-the-Loop (HIL) open-air Software-Defined Radio (SDR) thermal entropy harvesting under hostile noise conditions (SNR = −8.0 dB): Super-Resolution Multi-Target Separation: Unambiguous discrimination of three simultaneous, closely spaced acoustic sources completely merged under classical linear DAS beamforming. Sub-Grid Spatial Accuracy: Empirical localization precision down to 20.60 mm (≈ 1.2 grid cells on a 1.60 m × 1.60 m evaluation plane at Z = 1.50 m standoff). Dynamic Range & Disparate-SPL Retention: Stable potential basin formation isolating stealth emitters (75 dB) operating alongside high-power heavy propulsion engines (105 dB) without dynamic range masking. Deterministic Real-Time Execution: Verified live execution latency of 127.98 ms per full continuum relaxation on standard GPU hardware (NVIDIA GTX 1070).","url":"https://doi.org/10.5281/zenodo.22172207","authors":["QuantNature Global"],"tags":["Acoustic Imaging","Acoustic Camera","Sound Source Localization","Microphone Phased Array","Super-Resolution","Drone Acoustic Detection","Counter-UAS","Swarm UAV Tracking"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.22172207","addedAt":"2026-08-31T06:40:08.031Z","updatedAt":"2026-08-31T06:40:08.031Z"},{"id":"doi:10.5281/zenodo.22172208","name":"Universal Acoustic Resonance Imaging: Super-Resolution Multi-Source Localization and Spatial Energy Condensation across Sub-Wavelength Acoustic Arrays via RPU Physical Continuum Acceleration","source":"datacite","abstract":"QuantNature Global Technical White Paper (Document ID: QN-UARI-2026-V1) Title Universal Acoustic Resonance Imaging (UARI): Super-Resolution Multi-Source Localization and Spatial Energy Condensation across Sub-Wavelength Acoustic Arrays via RPU Physical Continuum Acceleration Author: QuantNature Global (https://www.quantnature.com)Release Date: August 30, 2026Document Version: v1.0 (Digital Twin & HIL Baseline) Executive Summary & Abstract Conventional acoustic phased arrays and industrial sonic cameras constrained by sub-wavelength apertures (D ≤ 71 mm, where D < λ) suffer from substantial diffraction beam broadening (θ ≥ 70°). Consequently, closely spaced acoustic emitters—such as formation-flight UAV swarms in tactical perimeter surveillance or concurrent micro-leakages in pressurized industrial infrastructure—collapse into single, irresolvable energy blobs under linear Delay-and-Sum (DAS) beamforming. This technical white paper formalizes Universal Acoustic Resonance Imaging (UARI), a dual-use computational physics architecture that achieves super-resolution localization by transforming incoming multi-harmonic acoustic phase streams into declarative potential energy landscapes (Vbias) across the 100,000-node physical continuum of the Resonance Processing Unit (RPU). By combining multi-harmonic relative phase coherence with continuous non-linear substrate relaxation, broad point-spread lobes autonomously condense into discrete, localized ground-state limit cycles (Emin), naturally suppressing secondary multi-path room reverberations and background noise. Key Empirical Outcomes (Digital Twin & HIL Benchmarking) Evaluated via a high-fidelity numerical acoustic digital twin coupled with real-time Hardware-in-the-Loop (HIL) open-air Software-Defined Radio (SDR) thermal entropy harvesting under hostile noise conditions (SNR = −8.0 dB): Super-Resolution Multi-Target Separation: Unambiguous discrimination of three simultaneous, closely spaced acoustic sources completely merged under classical linear DAS beamforming. Sub-Grid Spatial Accuracy: Empirical localization precision down to 20.60 mm (≈ 1.2 grid cells on a 1.60 m × 1.60 m evaluation plane at Z = 1.50 m standoff). Dynamic Range & Disparate-SPL Retention: Stable potential basin formation isolating stealth emitters (75 dB) operating alongside high-power heavy propulsion engines (105 dB) without dynamic range masking. Deterministic Real-Time Execution: Verified live execution latency of 127.98 ms per full continuum relaxation on standard GPU hardware (NVIDIA GTX 1070).","url":"https://doi.org/10.5281/zenodo.22172208","authors":["QuantNature Global"],"tags":["Acoustic Imaging","Acoustic Camera","Sound Source Localization","Microphone Phased Array","Super-Resolution","Drone Acoustic Detection","Counter-UAS","Swarm UAV Tracking"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.22172208","addedAt":"2026-08-31T06:40:08.031Z","updatedAt":"2026-08-31T06:40:08.031Z"},{"id":"doi:10.5281/zenodo.18382569","name":"expanded theories","source":"datacite","abstract":"Combined, the railgun pod, Frostline core, signal‑booster RF link, and visual bay give you an armed, long‑range, encrypted drone (or swarm) with real‑time command, telemetry, and video, all governed through the same safety and lineage stack. 1. Command‑and‑control + performance The RF booster adds a 4‑antenna phased array at the base station with +36 dB effective link‑budget gain, extending line‑of‑sight control from ≈100 m to ≈300–400 m (250 m urban, ≈500 m clear), with telemetry > video) to preserve responsiveness. On the operator’s PC, the visual bay software decrypts and displays up to 16 simultaneous feeds in a tiled grid with 50–150 ms end‑to‑end latency, writing all streams to an 8 TB NVMe RAID‑5 archive that holds ≈40 hours of multi‑drone 1080p footage and supports fast search by time, location, and inference tags. Inference (e.g., YOLO‑tiny on the drones) tags frames with “person/vehicle/anomaly” metadata; the archive can be queried for events like “all footage with a person between 14:00–16:00 UTC in grid 42N”, returning results in 80 % of impact load laterally, reducing peak stress on any single panel. Structural anomaly detection drops to ≤10 ms (≤5 ms with added sensors), and autonomous sealant polymerization occurs within 200 ms. Coordinated Shutter‑Bloom + Hydro‑Signature Veil reduces IR/RF signature spikes by >70 %. Bottom line – Extending RSA across the entire aircraft creates a self‑healing, fault‑tolerant, high‑G‑resilient platform capable of active missile neutralization, stealth‑signature masking, and rapid vertical “jump” maneuvers, all governed by the Helios DSP‑Pety AI digital spine.","url":"https://doi.org/10.5281/zenodo.18382569","authors":["lee, francis"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.18382569","addedAt":"2026-08-31T06:40:08.031Z","updatedAt":"2026-08-31T06:40:08.031Z"},{"id":"doi:10.5281/zenodo.19655173","name":"expanded theories","source":"datacite","abstract":"Combined, the railgun pod, Frostline core, signal‑booster RF link, and visual bay give you an armed, long‑range, encrypted drone (or swarm) with real‑time command, telemetry, and video, all governed through the same safety and lineage stack. 1. Command‑and‑control + performance The RF booster adds a 4‑antenna phased array at the base station with +36 dB effective link‑budget gain, extending line‑of‑sight control from ≈100 m to ≈300–400 m (250 m urban, ≈500 m clear), with telemetry > video) to preserve responsiveness. On the operator’s PC, the visual bay software decrypts and displays up to 16 simultaneous feeds in a tiled grid with 50–150 ms end‑to‑end latency, writing all streams to an 8 TB NVMe RAID‑5 archive that holds ≈40 hours of multi‑drone 1080p footage and supports fast search by time, location, and inference tags. Inference (e.g., YOLO‑tiny on the drones) tags frames with “person/vehicle/anomaly” metadata; the archive can be queried for events like “all footage with a person between 14:00–16:00 UTC in grid 42N”, returning results in 80 % of impact load laterally, reducing peak stress on any single panel. Structural anomaly detection drops to ≤10 ms (≤5 ms with added sensors), and autonomous sealant polymerization occurs within 200 ms. Coordinated Shutter‑Bloom + Hydro‑Signature Veil reduces IR/RF signature spikes by >70 %. Bottom line – Extending RSA across the entire aircraft creates a self‑healing, fault‑tolerant, high‑G‑resilient platform capable of active missile neutralization, stealth‑signature masking, and rapid vertical “jump” maneuvers, all governed by the Helios DSP‑Pety AI digital spine.","url":"https://doi.org/10.5281/zenodo.19655173","authors":["lee, francis"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.19655173","addedAt":"2026-08-31T06:40:08.031Z","updatedAt":"2026-08-31T06:40:08.031Z"},{"id":"doi:10.5281/zenodo.22124295","name":"Halo Net: An AI-Driven Autonomous Hybrid Aerial Communication Network for 6G Disaster Resilience and Rural Broadband","source":"datacite","abstract":"Halo Net proposes a four-layer hybrid communication architecture that integrates a solar-powered High-Altitude Platform Station (HAPS), an autonomous UAV relay swarm, a self-healing terrestrial mesh, and distributed edge-AI inference nodes into a single adaptive network fabric. The design targets two classes of connectivity gap that conventional tower-based cellular infrastructure cannot economically close: rapid restoration of communications after large-scale disasters, and persistent broadband coverage for geographically remote or low-density rural populations. This paper presents the complete system architecture, a star-of-mesh routing topology with redundant aerial links, and an AI-driven adaptive pathscoring algorithm for distributed route selection. To move beyond a purely conceptual description, we develop first-order analytical models for coverage footprint, end-to-end latency, and channel capacity as functions of network scale and relay hop count, and we implement a custom Monte Carlo graph simulation (3,000 trials per data point) to quantify the resilience gained from the proposed redundant-mesh design relative to a non-redundant star topology. Under the simulated model, the redundant-mesh design retains terrestrial-node connectivity to the HAPS backbone substantially better than the non-redundant baseline as random node failure rate increases, particularly beyond a 20% failure rate. We further present a security framework, edge-AI application scenarios, and an economic feasibility analysis that first corrects an inconsistency in the project's original cost figures -- comparing one HAPS against a terrestrial tower count that covers only a tenth of its footprint -- and then shows that, once both sides are priced for the same coverage area, a single HAPS is projected to be roughly 3.6x cheaper over a 10-year horizon than coverage-equivalent terrestrial towers, with a modeled economic breakeven radius of approximately 85 km. All performance figures in this paper are clearly labeled as analytical projections or simulation outputs; no claim is made of physical field-test measurements, and the manuscript explicitly identifies this as a direction for future validation work.","url":"https://doi.org/10.5281/zenodo.22124295","authors":["Danish, A Mohammed Rahil, Mohammed Aftab Vali"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.22124295","addedAt":"2026-08-31T06:40:08.031Z","updatedAt":"2026-08-31T06:40:08.031Z"},{"id":"doi:10.5281/zenodo.22124296","name":"Halo Net: An AI-Driven Autonomous Hybrid Aerial Communication Network for 6G Disaster Resilience and Rural Broadband","source":"datacite","abstract":"Halo Net proposes a four-layer hybrid communication architecture that integrates a solar-powered High-Altitude Platform Station (HAPS), an autonomous UAV relay swarm, a self-healing terrestrial mesh, and distributed edge-AI inference nodes into a single adaptive network fabric. The design targets two classes of connectivity gap that conventional tower-based cellular infrastructure cannot economically close: rapid restoration of communications after large-scale disasters, and persistent broadband coverage for geographically remote or low-density rural populations. This paper presents the complete system architecture, a star-of-mesh routing topology with redundant aerial links, and an AI-driven adaptive pathscoring algorithm for distributed route selection. To move beyond a purely conceptual description, we develop first-order analytical models for coverage footprint, end-to-end latency, and channel capacity as functions of network scale and relay hop count, and we implement a custom Monte Carlo graph simulation (3,000 trials per data point) to quantify the resilience gained from the proposed redundant-mesh design relative to a non-redundant star topology. Under the simulated model, the redundant-mesh design retains terrestrial-node connectivity to the HAPS backbone substantially better than the non-redundant baseline as random node failure rate increases, particularly beyond a 20% failure rate. We further present a security framework, edge-AI application scenarios, and an economic feasibility analysis that first corrects an inconsistency in the project's original cost figures -- comparing one HAPS against a terrestrial tower count that covers only a tenth of its footprint -- and then shows that, once both sides are priced for the same coverage area, a single HAPS is projected to be roughly 3.6x cheaper over a 10-year horizon than coverage-equivalent terrestrial towers, with a modeled economic breakeven radius of approximately 85 km. All performance figures in this paper are clearly labeled as analytical projections or simulation outputs; no claim is made of physical field-test measurements, and the manuscript explicitly identifies this as a direction for future validation work.","url":"https://doi.org/10.5281/zenodo.22124296","authors":["Danish, A Mohammed Rahil, Mohammed Aftab Vali"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.22124296","addedAt":"2026-08-31T06:40:08.031Z","updatedAt":"2026-08-31T06:40:08.031Z"},{"id":"doi:10.5281/zenodo.16731904","name":"Centrifugal Fixed Wing UAV Swarm Launcher V2","source":"datacite","abstract":"This work presents a magazine-fed centrifugal launcher for repeated autonomous deployment of fixed-wing unmanned aerial vehicles. The system extends the previously validated dual-arm centrifugal launch architecture by replacing the chain-driven hub with a direct-drive rotating assembly, replacing the earlier pin-based retention system with a rotating electropermanent-magnet cradle, and introducing dual skeleton tower magazines for sequential automatic reload. Each arm terminates in a hollow-shaft-actuated U-channel cradle carrying a distributed electropermanent magnet array that captures, retains, and releases the airframe without continuous holding power. The tower magazine stores drones in an inverted vertical stack and advances them using a lead-screw-driven follower plate, allowing repeated loading cycles without manual intervention.","url":"https://doi.org/10.5281/zenodo.16731904","authors":["Husain, Ali Muzammil"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.16731904","addedAt":"2026-08-31T06:40:08.031Z","updatedAt":"2026-08-31T06:40:08.031Z"},{"id":"doi:10.5281/zenodo.20786067","name":"Centrifugal Fixed Wing UAV Swarm Launcher V2","source":"datacite","abstract":"This work presents a magazine-fed centrifugal launcher for repeated autonomous deployment of fixed-wing unmanned aerial vehicles. The system extends the previously validated dual-arm centrifugal launch architecture by replacing the chain-driven hub with a direct-drive rotating assembly, replacing the earlier pin-based retention system with a rotating electropermanent-magnet cradle, and introducing dual skeleton tower magazines for sequential automatic reload. Each arm terminates in a hollow-shaft-actuated U-channel cradle carrying a distributed electropermanent magnet array that captures, retains, and releases the airframe without continuous holding power. The tower magazine stores drones in an inverted vertical stack and advances them using a lead-screw-driven follower plate, allowing repeated loading cycles without manual intervention.","url":"https://doi.org/10.5281/zenodo.20786067","authors":["Husain, Ali Muzammil"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.20786067","addedAt":"2026-08-31T06:40:08.031Z","updatedAt":"2026-08-31T06:40:08.031Z"},{"id":"doi:10.5281/zenodo.21224679","name":"Data-extraction and adversary-model coding dataset for \"UAV Path Planning in the Presence of Jamming: A Survey\"","source":"datacite","abstract":"This dataset supports the survey \"UAV Path Planning in the Presence of Jamming\" (submitted to Computer Science Review). It contains the list of the 79 studies included in the synthesis with complete DOIs (CSV and BibTeX, keyed to the manuscript's citations), the per-database search strings and record counts of the PRISMA-ScR-informed literature search (2,374 records identified; 1,127 screened after deduplication; 98 assessed in full text; 79 included), and the per-study data-extraction and adversary-model coding spreadsheet. The coding covers jammer location knowledge (known/partial/unknown), jammer reactivity, jammer mobility (static/dynamic/hybrid), jammer operational type (barrage/sweep/spot/unspecified), the derived adversary levels E1–E4 (priority rule: mobility, then reactivity, then knowledge uncertainty), path-planning algorithm family and sub-type, platform (single-UAV/swarm), mission code, and performance-metric coverage. A README documents all files and the column dictionary.","url":"https://doi.org/10.5281/zenodo.21224679","authors":["Abu Aram, Layth","Eldesouky, Omar","Oligeri, Gabriele","Di Pietro, Roberto"],"tags":["UAV","path planning","jamming","anti-jamming","systematic review","PRISMA","adversary models"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.21224679","addedAt":"2026-08-31T06:40:08.031Z","updatedAt":"2026-08-31T06:40:08.031Z"},{"id":"doi:10.5281/zenodo.19497193","name":"Plasma Defensive Shield and Tensorial Melting of Incoming Projectiles at 30,000°C Plasma Boundary Along National Borders. The Defensive Equilibrium Shifts from Conventional Interception to Plasma-Induced Melting of Incoming Projectiles Within a Polished Plasma Wall 5 Kilometers Thick, 50,000 Feet High, and Capped with Superheated Plasma. This System Is Designed to Counter Intercontinental Ballistic Missiles, Nuclear and Thermonuclear Bombs, Advanced Fighter Jets, Various Missile Types, and Drones, Utilizing 1155-Dimensional Tensor Mechanics as Described by Hamzah Equation.","source":"datacite","abstract":"بنا بر پروتکل استراتژیک «۱۲ مرحله‌ای ریدو» (Redo) و با استناد به نقشه‌راه جامع بنیاد کوانتومی حمزه (HQI)، ابر-لاگرانژی جهانی سیستم پدافند پلاسمایی و رادار تانسوری ۱۱۵۵ بُعدی جهت ابطال همه‌جان��ه تسلیحات نسل جدید، از تسلیحات فضایی تا ریز-پرنده‌ها، به شرح زیر تبیین و پلمب می‌گردد. این فرمولاسیون نه برای یک مرز خاص، بلکه به عنوان یک پروتکل صلح جهانی (Universal Peace Protocol) طراحی شده است. ۱. فرمولاسیون جامع ابر-لاگرانژی جهانی (The Global AP-1155 Lagrangian) این معادله، فضا-زمانِ تحت پوشش را به گونه‌ای بازنویسی می‌کند که هرگونه بردار متخاصم در تراز ۱۱۵۵ بُعدی به «پوچیِ ریاضی» برسد: $$\\mathcal{L}_{Global}^{(1155)} = \\int \\mathcal{D}[\\mu] e^{i \\mathcal{S}_{H}} \\left[ \\underbrace{\\Psi_{H}^{\\dagger} (i\\gamma^{\\mu} \\nabla_{\\mu} - m_{\\Omega}) \\Psi_{H}}_{\\text{Quantum Lattice Field}} - \\underbrace{\\frac{\\mathcal{G}_{1155} \\cdot \\Xi_{H}}{\\text{Tr}(\\mathbf{T}_{\\mu\\nu} \\cdot \\mathbf{M}_{inv})}}_{\\text{Universal Metric Erasure}} + \\underbrace{\\sum_{k=1}^{200} \\oint_{\\Gamma} \\frac{\\alpha_{k} \\cdot \\xi_{H}}{\\delta \\Sigma - \\Phi_{null}} d\\omega}_{\\text{200 Omega Stress Core}} \\right]$$ ۲. کالبدشکافی پارامترها و مکانیزم ساخت (From 0 to 100) الف) زیرساخت میدان (Quantum Lattice Field): ساختار ($\\Psi_{H}$): این تابع موج جهانی، بافت فضا را به صورت یک شبکه (Lattice) صلب در می‌آورد. در فاز ساخت، این شبکه از طریق درهم-تنیدگی کوانتومی بین دکل‌های نگهدارنده (Nodes) برقرار می‌شود. اپراتور جرم-انرژی ($m_{\\Omega}$): این پارامتر باعث می‌شود که پلاسما در خلاء فضایی نیز دارای «جرم مجازی» باشد تا بتواند ضربات فیزیکی موشک‌های بالستیک را دفع کند. ب) بخش ابطال متریک جهانی (Universal Metric Erasure): تانسور معکوس ($\\mathbf{M}_{inv}$): این تانسور وظیفه دارد «امضای راداری» (RCS) دشمن را معکوس کند. یعنی هرچه یک هواپیما (مثل F-22) سعی کند پنهان‌کارتر باشد، در رادار حمزه به دلیل تداخل با بافت ۱۱۵۵ بعدی، درخشان‌تر دیده می‌شود. ثابت $\\Xi_{H}$: این ثابت، ضریب شکست فضا را تغییر می‌دهد تا سلاح‌های لیزری و انرژی مستقیم (DEW) قبل از رسیدن به هدف، دچار انحراف ۱۸۰ درجه‌ای شوند. ج) هسته ۲ groups تست استرس اُمگا (200 Omega Stress Core): ضریب $\\alpha_{k}$: این ضریب شامل ۲۰۰ پارامتر کالیبره شده است که از سطح ۱۹۱ (ویروس‌های مهندسی شده) تا سطح ۲۰۰ (سلاح‌های DNA-Targeted) را پوشش می‌دهد. عملگر تهی‌ساز ($\\Phi_{null}$): این عملگر، هوش مصنوعی تسلیحاتی را در یک «تکینگی پردازشی» قرار می‌دهد. AI دشمن در مواجهه با این میدان، کد خود را به عنوان ویروس شناسایی کرده و خود-تخریبی (Self-Deletion) انجام می‌دهد. ۳. اثبات ریاضی و عملکرد در ۲۰۰ سطح استرس برای تحقق پدافند مطلق، کنش نهایی ($S_{Total}$) باید در برابر هرگونه آنتروپی تهاجم ($\\Delta S_{atk}$) ناوردا باشد: $$\\frac{\\delta \\mathcal{L}_{Global}}{\\delta \\text{Infiltration}} \\equiv 0 \\implies \\text{Result: Absolute Nullity}$$ گام اول: ابطال هایپرسونیک و اتمی (Hypersonic Nullification): در سرعت‌های بالای ۱۰ ماخ، ترم دوم لاگرانژی باعث ایجاد یک «اصطکاک تانسوری» می‌شود. موشک بدون برخورد با ماده، در برخورد با «هندسه فضا» ذوب می‌شود: $$\\lim_{v \\to 15c} \\text{Temperature}(\\text{Plasma Layer}) \\approx 50,000^{\\circ}C$$ گام دوم: فیلتراسیون بیولوژیک و نانو (Nano-Bio Erasure): در تست‌های سطح ۱۹۱ تا ۲۰۰، میدان $H_{\\Omega}$ با رزونانس در طول موج‌های میکروسکوپی، پیوندهای پپتیدی ویروس‌ها را هدف قرار می‌دهد: $$\\oint \\frac{d\\mathcal{E}}{dt} \\cdot \\xi_{H} \\implies \\text{Protein Denaturation} = 100\\%$$ ۴. مراحل ساخت و استقرار عملیاتی (0 to 100 Execution) Phase 0 (Singularity Core): برنامه‌نویسی هسته هوش کوانتومیک حمزه (HQI) با استفاده از منطق ۱۲ بعدی. Phase 50 (Node Entanglement): استقرار دکل‌های همسان‌ساز در فواصل استراتژیک و ایجاد درهم‌تنیدگی بین آن‌ها برای تشکیل «قفس فارادی تانسوری». Phase 90 (Plasma Ignition): تزریق پالس اولیه برای تشکیل لایه پلاسمای سرد (Cold Plasma) جهت فیلتراسیون هوا و پلاسما گرم جهت انهدام فیزیکی. Phase 100 (Omega Lock): فعال‌سازی ثابت قطعیت ($\\xi_{H}$) که سیستم را از حالت آزمایشی به حالت «صیانت مطلق» تغییر می‌دهد. 5. Strategic Summary (RP British) \"The Universal AP-1155 Lagrangian establishes a global paradigm where kinetic and digital aggression are rendered mathematically impossible. By deploying the Hamzah Certainty Constant ($\\xi_{H}$","url":"https://doi.org/10.5281/zenodo.19497193","authors":["HAMZAH, SEYED RASOUL"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.19497193","addedAt":"2026-08-31T06:40:08.031Z","updatedAt":"2026-08-31T06:40:08.031Z"},{"id":"doi:10.5281/zenodo.19498095","name":"Plasma Defensive Shield and Tensorial Melting of Incoming Projectiles at 30,000°C Plasma Boundary Along National Borders. The Defensive Equilibrium Shifts from Conventional Interception to Plasma-Induced Melting of Incoming Projectiles Within a Polished Plasma Wall 5 Kilometers Thick, 50,000 Feet High, and Capped with Superheated Plasma. This System Is Designed to Counter Intercontinental Ballistic Missiles, Nuclear and Thermonuclear Bombs, Advanced Fighter Jets, Various Missile Types, and Drones, Utilizing 1155-Dimensional Tensor Mechanics as Described by Hamzah Equation.","source":"datacite","abstract":"بنا بر پروتکل استراتژیک «۱۲ مرحله‌ای ریدو» (Redo) و با استناد به نقشه‌راه جامع بنیاد کوانتومی حمزه (HQI)، ابر-لاگرانژی جهانی سیستم پدافند پلاسمایی و رادار تانسوری ۱۱۵۵ بُعدی جهت ابطال همه‌جانبه تسلیحات نسل جدید، از تسلیحات فضایی تا ریز-پرنده‌ها، به شرح زیر تبیین و پلمب می‌گردد. این فرمولاسیون نه برای یک مرز خاص، بلکه به عنوان یک پروتکل صلح جهانی (Universal Peace Protocol) طراحی شده است. ۱. فرمولاسیون جامع ابر-لاگرانژی جهانی (The Global AP-1155 Lagrangian) این معادله، فضا-زمانِ تحت پوشش را به گونه‌ای بازنویسی می‌کند که هرگونه بردار متخاصم در تراز ۱۱۵۵ بُعدی به «پوچیِ ریاضی» برسد: $$\\mathcal{L}_{Global}^{(1155)} = \\int \\mathcal{D}[\\mu] e^{i \\mathcal{S}_{H}} \\left[ \\underbrace{\\Psi_{H}^{\\dagger} (i\\gamma^{\\mu} \\nabla_{\\mu} - m_{\\Omega}) \\Psi_{H}}_{\\text{Quantum Lattice Field}} - \\underbrace{\\frac{\\mathcal{G}_{1155} \\cdot \\Xi_{H}}{\\text{Tr}(\\mathbf{T}_{\\mu\\nu} \\cdot \\mathbf{M}_{inv})}}_{\\text{Universal Metric Erasure}} + \\underbrace{\\sum_{k=1}^{200} \\oint_{\\Gamma} \\frac{\\alpha_{k} \\cdot \\xi_{H}}{\\delta \\Sigma - \\Phi_{null}} d\\omega}_{\\text{200 Omega Stress Core}} \\right]$$ ۲. کالبدشکافی پارامترها و مکانیزم ساخت (From 0 to 100) الف) زیرساخت میدان (Quantum Lattice Field): ساختار ($\\Psi_{H}$): این تابع موج جهانی، بافت فضا را به صورت یک شبکه (Lattice) صلب در می‌آورد. در فاز ساخت، این شبکه از طریق درهم-تنیدگی کوانتومی بین دکل‌های نگهدارنده (Nodes) برقرار می‌شود. اپراتور جرم-انرژی ($m_{\\Omega}$): این پارامتر باعث می‌شود که پلاسما در خلاء فضایی نیز دارای «جرم مجازی» باشد تا بتواند ضربات فیزیکی موشک‌های بالستیک را دفع کند. ب) بخش ابطال متریک جهانی (Universal Metric Erasure): تانسور معکوس ($\\mathbf{M}_{inv}$): این تانسور وظیفه دارد «امضای راداری» (RCS) دشمن را معکوس کند. یعنی هرچه یک هواپیما (مثل F-22) سعی کند پنهان‌کارتر باشد، در رادار حمزه به دلیل تداخل با بافت ۱۱۵۵ بعدی، درخشان‌تر دیده می‌شود. ثابت $\\Xi_{H}$: این ثابت، ضریب شکست فضا را تغییر می‌دهد تا سلاح‌های لیزری و انرژی مستقیم (DEW) قبل از رسیدن به هدف، دچار انحراف ۱۸۰ درجه‌ای شوند. ج) هسته ۲ groups تست استرس اُمگا (200 Omega Stress Core): ضریب $\\alpha_{k}$: این ضریب شامل ۲۰۰ پارامتر کالیبره شده است که از سطح ۱۹۱ (ویروس‌های مهندسی شده) تا سطح ۲۰۰ (سلاح‌های DNA-Targeted) را پوشش می‌دهد. عملگر تهی‌ساز ($\\Phi_{null}$): این عملگر، هوش مصنوعی تسلیحاتی را در یک «تکینگی پردازشی» قرار می‌دهد. AI دشمن در مواجهه با این میدان، کد خود را به عنوان ویروس شناسایی کرده و خود-تخریبی (Self-Deletion) انجام می‌دهد. ۳. اثبات ریاضی و عملکرد در ۲۰۰ سطح استرس برای تحقق پدافند مطلق، کنش نهایی ($S_{Total}$) باید در برابر هرگونه آنتروپی تهاجم ($\\Delta S_{atk}$) ناوردا باشد: $$\\frac{\\delta \\mathcal{L}_{Global}}{\\delta \\text{Infiltration}} \\equiv 0 \\implies \\text{Result: Absolute Nullity}$$ گام اول: ابطال هایپرسونیک و اتمی (Hypersonic Nullification): در سرعت‌های بالای ۱۰ ماخ، ترم دوم لاگرانژی باعث ایجاد یک «اصطکاک تانسوری» می‌شود. موشک بدون برخورد با ماده، در برخورد با «هندسه فضا» ذوب می‌شود: $$\\lim_{v \\to 15c} \\text{Temperature}(\\text{Plasma Layer}) \\approx 50,000^{\\circ}C$$ گام دوم: فیلتراسیون بیولوژیک و نانو (Nano-Bio Erasure): در تست‌های سطح ۱۹۱ تا ۲۰۰، میدان $H_{\\Omega}$ با رزونانس در طول موج‌های میکروسکوپی، پیوندهای پپتیدی ویروس‌ها را هدف قرار می‌دهد: $$\\oint \\frac{d\\mathcal{E}}{dt} \\cdot \\xi_{H} \\implies \\text{Protein Denaturation} = 100\\%$$ ۴. مراحل ساخت و استقرار عملیاتی (0 to 100 Execution) Phase 0 (Singularity Core): برنامه‌نویسی هسته هوش کوانتومیک حمزه (HQI) با استفاده از منطق ۱۲ بعدی. Phase 50 (Node Entanglement): استقرار دکل‌های همسان‌ساز در فواصل استراتژیک و ایجاد درهم‌تنیدگی بین آن‌ها برای تشکیل «قفس فارادی تانسوری». Phase 90 (Plasma Ignition): تزریق پالس اولیه برای تشکیل لایه پلاسمای سرد (Cold Plasma) جهت فیلتراسیون هوا و پلاسما گرم جهت انهدام فیزیکی. Phase 100 (Omega Lock): فعال‌سازی ثابت قطعیت ($\\xi_{H}$) که سیستم را از حالت آزمایشی به حالت «صیانت مطلق» تغییر می‌دهد. 5. Strategic Summary (RP British) \"The Universal AP-1155 Lagrangian establishes a global paradigm where kinetic and digital aggression are rendered mathematically impossible. By deploying the Hamzah Certainty Constant ($\\xi_{H}$)","url":"https://doi.org/10.5281/zenodo.19498095","authors":["HAMZAH, SEYED RASOUL"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.19498095","addedAt":"2026-08-31T06:40:08.031Z","updatedAt":"2026-08-31T06:40:08.031Z"},{"id":"doi:10.5281/zenodo.22084175","name":"suhelahamed/MSMU_SST_CO: MSMU_SST_CO","source":"datacite","abstract":"MSMU-SST-CO: Edge-AI-based Selective Subtask Offloading in UAV-Supported MEC Version 1.0 · Reproducible seed 42 DOI: 10.5281/zenodo.22084174 This repository contains the generation pipeline, datasets, and experiment code for an Edge-AI-based selective subtask computation offloading framework in UAV-supported multi-server multi-user mobile edge computing (MEC). The project: Generates base task-level MEC offloading scenarios using the MCMF solver from the MSMU-CO tool as an offline oracle for optimal task-level offloading decisions. Decomposes each user task into K = 3 subtasks and derives oracle selective-offloading labels under the MSMU-CO cost model. Augments the environment with UAV-supported MEC semantics: UAV versus ground servers, 3D geometry, elevation, and line-of-sight probability. Trains a lightweight Edge-AI model (MLP) to predict per-subtask offloading decisions from task, channel, and UAV context. Benchmarks against naive baselines (all-local, all-MCMF, random) and an LR-style greedy optimization baseline. MSMU-SST-CO is the first release in a dataset family. It is extended by MSMU-UAV-CO, which adds a time horizon and a 100-UAV swarm. 1. Provenance and Originality All data in this release is original work, generated by the scripts distributed with it. generate_base_dataset.py imports two functions — solve_once and range_random — at runtime from the MSMU-CO generation tool of Liang et al. (github.com/qiyu3816/MSMU-CO), which the user clones separately (§3.1), and calls them with the parameters specified in that script. All remaining logic is original to this project, including the bipartite connectivity construction, the cost-model evaluation, the subtask decomposition and oracle labelling, the UAV overlay, the Edge-AI model, and the baselines. Specifically: No MSMU-CO data is used or redistributed. The 800 scenarios here were generated, not downloaded. Their regimes — S ∈ {3, 5} × U ∈ {10, 20} — do not correspond to any server/user combination in the published MSMU-CO dataset release. No MSMU-CO code is redistributed. The two imported functions are loaded at runtime from a repository the user clones independently; no upstream source file is included here. The cost model follows the formulation published by Liang et al. and is cited accordingly. It is reimplemented in this project's own code. generate_graph in generate_base_dataset.py mirrors the structure of the upstream connectivity generator, with a documented fix: it caps a user's connection count at the available server count, which the original does not, and which raises a sampling error at S = 3. The deviation is noted in the function docstring. The pipeline is deterministic (random.seed(42), np.random.seed(42)), so all outputs regenerate exactly. 2. Project Overview 2.1 Problem Setting A multi-server multi-user MEC system in which each ground user generates a computation task that may be processed locally or offloaded to one of several edge servers (UAV-borne or ground). Each task is decomposed into three subtasks — pre-processing, heavy compute, and post-processing — enabling selective subtask offloading rather than all-or-nothing offload. The objective minimises a weighted sum of latency and energy per user, subject to server capacity constraints, using user-specific latency–energy trade-off weights alpha. 2.2 Pipeline Step Script Produces 1. Base scenario generation generate_base_dataset.py data/raw/base_msmu_raw.parquet 2. Subtask mutation + oracle labels build_subtask_dataset.py data/subtask/{train,val,test}_subtask.parquet 3. UAV augmentation build_uav_dataset.py data/uav_subtask/{train,val,test}_uav.parquet 4. Edge-AI training + evaluation train_edge_ai.py models/, output/ 5. LR-greedy baseline add_lr_greedy.py updated output/ 3. Repository Structure MSMU_SST_CO/ data/ raw/ # base task-level scenarios base_msmu_raw.parquet base_msmu_config.json # global parameter sidecar subtask/ # subtask-level datasets + oracle labels train_subtask.parquet val_subt","url":"https://doi.org/10.5281/zenodo.22084175","authors":["suhelahamed"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.22084175","addedAt":"2026-08-31T06:40:08.031Z","updatedAt":"2026-08-31T06:40:09.764Z"},{"id":"doi:10.5281/zenodo.22084174","name":"suhelahamed/MSMU_SST_CO: MSMU_SST_CO","source":"datacite","abstract":"MSMU-SST-CO: Edge-AI-based Selective Subtask Offloading in UAV-Supported MEC Version 1.0 · Reproducible seed 42 DOI: 10.5281/zenodo.22084174 This repository contains the generation pipeline, datasets, and experiment code for an Edge-AI-based selective subtask computation offloading framework in UAV-supported multi-server multi-user mobile edge computing (MEC). The project: Generates base task-level MEC offloading scenarios using the MCMF solver from the MSMU-CO tool as an offline oracle for optimal task-level offloading decisions. Decomposes each user task into K = 3 subtasks and derives oracle selective-offloading labels under the MSMU-CO cost model. Augments the environment with UAV-supported MEC semantics: UAV versus ground servers, 3D geometry, elevation, and line-of-sight probability. Trains a lightweight Edge-AI model (MLP) to predict per-subtask offloading decisions from task, channel, and UAV context. Benchmarks against naive baselines (all-local, all-MCMF, random) and an LR-style greedy optimization baseline. MSMU-SST-CO is the first release in a dataset family. It is extended by MSMU-UAV-CO, which adds a time horizon and a 100-UAV swarm. 1. Provenance and Originality All data in this release is original work, generated by the scripts distributed with it. generate_base_dataset.py imports two functions — solve_once and range_random — at runtime from the MSMU-CO generation tool of Liang et al. (github.com/qiyu3816/MSMU-CO), which the user clones separately (§3.1), and calls them with the parameters specified in that script. All remaining logic is original to this project, including the bipartite connectivity construction, the cost-model evaluation, the subtask decomposition and oracle labelling, the UAV overlay, the Edge-AI model, and the baselines. Specifically: No MSMU-CO data is used or redistributed. The 800 scenarios here were generated, not downloaded. Their regimes — S ∈ {3, 5} × U ∈ {10, 20} — do not correspond to any server/user combination in the published MSMU-CO dataset release. No MSMU-CO code is redistributed. The two imported functions are loaded at runtime from a repository the user clones independently; no upstream source file is included here. The cost model follows the formulation published by Liang et al. and is cited accordingly. It is reimplemented in this project's own code. generate_graph in generate_base_dataset.py mirrors the structure of the upstream connectivity generator, with a documented fix: it caps a user's connection count at the available server count, which the original does not, and which raises a sampling error at S = 3. The deviation is noted in the function docstring. The pipeline is deterministic (random.seed(42), np.random.seed(42)), so all outputs regenerate exactly. 2. Project Overview 2.1 Problem Setting A multi-server multi-user MEC system in which each ground user generates a computation task that may be processed locally or offloaded to one of several edge servers (UAV-borne or ground). Each task is decomposed into three subtasks — pre-processing, heavy compute, and post-processing — enabling selective subtask offloading rather than all-or-nothing offload. The objective minimises a weighted sum of latency and energy per user, subject to server capacity constraints, using user-specific latency–energy trade-off weights alpha. 2.2 Pipeline Step Script Produces 1. Base scenario generation generate_base_dataset.py data/raw/base_msmu_raw.parquet 2. Subtask mutation + oracle labels build_subtask_dataset.py data/subtask/{train,val,test}_subtask.parquet 3. UAV augmentation build_uav_dataset.py data/uav_subtask/{train,val,test}_uav.parquet 4. Edge-AI training + evaluation train_edge_ai.py models/, output/ 5. LR-greedy baseline add_lr_greedy.py updated output/ 3. Repository Structure MSMU_SST_CO/ data/ raw/ # base task-level scenarios base_msmu_raw.parquet base_msmu_config.json # global parameter sidecar subtask/ # subtask-level datasets + oracle labels train_subtask.parquet val_subt","url":"https://doi.org/10.5281/zenodo.22084174","authors":["suhelahamed"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.22084174","addedAt":"2026-08-31T06:40:08.031Z","updatedAt":"2026-08-31T06:40:09.764Z"},{"id":"doi:10.5281/zenodo.20445205","name":"Human-Centred and Explainable AI Framework for Operational Deployment of Transformer-MARL Distributed Air-Defence Systems in Contested Electromagnetic Environments","source":"datacite","abstract":"The increasing proliferation of low-altitude unmanned aerial systems (UASs), autonomous drone swarms, and contested-spectrum operations has created significant demand for resilient distributed air-defence architectures capable of operating under GNSS denial, communication degradation, and adversarial interference. Conventional centralized radar-centric systems remain vulnerable to communication bottlenecks, limited scalability, and singlepoint failure during distributed swarm attacks. This paper presents a human-centred and Explainable Artificial Intelligence (XAI)-enabled distributed air-defence framework integrating transformer-based multi-modal fusion, cooperative Multi-Agent Reinforcement Learning (MARL), adversarial robustness screening, energy-efficient edge intelligence, and adaptive ISR coordination for resilient counter-UAS operations. The proposed framework combines electro-optical, infrared, passive RF, acoustic, terrain-context, and edge sensing within a unified transformer-fusion architecture incorporating explainable decision support and operator-guided ISR reassignment. A comprehensive validation framework involving Monte Carlo simulation, ROS2-enabled distributed coordination, AirSim/Gazebo implementation, SDR-assisted RF-jamming emulation, telemetry replay validation using the HATSABIBI-26A UAV platform, hardware-in-the-loop experimentation, and Jetson Xavier edge-inference benchmarking was developed to evaluate operational feasibility under contested-spectrum conditions. Experimental evaluation involving 100,000 operational trials demonstrated superior performance compared with centralized radar-centric, Bayesian-fusion, CNN-based, LSTM-based, MADDPG, and QMIX architectures. The framework achieved detection probability of 0.92, false-alarm probability of 0.06, mean latency of 31 ms, and 63% communication-overhead reduction while maintaining reliable operation under severe node degradation and contested electromagnetic environments.","url":"https://doi.org/10.5281/zenodo.20445205","authors":["Imam, A. S.","Musa, A.","Umar, A. A.","Baballe, M. A."],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.20445205","addedAt":"2026-08-31T06:40:08.031Z","updatedAt":"2026-08-31T06:40:08.031Z"},{"id":"doi:10.5281/zenodo.20445206","name":"Human-Centred and Explainable AI Framework for Operational Deployment of Transformer-MARL Distributed Air-Defence Systems in Contested Electromagnetic Environments","source":"datacite","abstract":"The increasing proliferation of low-altitude unmanned aerial systems (UASs), autonomous drone swarms, and contested-spectrum operations has created significant demand for resilient distributed air-defence architectures capable of operating under GNSS denial, communication degradation, and adversarial interference. Conventional centralized radar-centric systems remain vulnerable to communication bottlenecks, limited scalability, and singlepoint failure during distributed swarm attacks. This paper presents a human-centred and Explainable Artificial Intelligence (XAI)-enabled distributed air-defence framework integrating transformer-based multi-modal fusion, cooperative Multi-Agent Reinforcement Learning (MARL), adversarial robustness screening, energy-efficient edge intelligence, and adaptive ISR coordination for resilient counter-UAS operations. The proposed framework combines electro-optical, infrared, passive RF, acoustic, terrain-context, and edge sensing within a unified transformer-fusion architecture incorporating explainable decision support and operator-guided ISR reassignment. A comprehensive validation framework involving Monte Carlo simulation, ROS2-enabled distributed coordination, AirSim/Gazebo implementation, SDR-assisted RF-jamming emulation, telemetry replay validation using the HATSABIBI-26A UAV platform, hardware-in-the-loop experimentation, and Jetson Xavier edge-inference benchmarking was developed to evaluate operational feasibility under contested-spectrum conditions. Experimental evaluation involving 100,000 operational trials demonstrated superior performance compared with centralized radar-centric, Bayesian-fusion, CNN-based, LSTM-based, MADDPG, and QMIX architectures. The framework achieved detection probability of 0.92, false-alarm probability of 0.06, mean latency of 31 ms, and 63% communication-overhead reduction while maintaining reliable operation under severe node degradation and contested electromagnetic environments.","url":"https://doi.org/10.5281/zenodo.20445206","authors":["Imam, A. S.","Musa, A.","Umar, A. A.","Baballe, M. A."],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.20445206","addedAt":"2026-08-31T06:40:08.031Z","updatedAt":"2026-08-31T06:40:08.031Z"},{"id":"doi:10.5281/zenodo.22092648","name":"smshagor-dev/UVA-GPS-Denied-Navigation-in-Dynamic-Environments: Drone Swarm Autonomous Platform v2.0.0 with v2.0.1","source":"datacite","abstract":"UAV GPS-Denied Navigation — v2.0.0 Version: 2.0.0 Release Type: Research / Bench Validation Release Status: Validated Software Release for Research and Bench Use License: GPL-3.0 v2.0.0 is the first consolidated research release of the UAV GPS-Denied Navigation platform, combining C++20 sensor fusion, VIO/MSCKF shadow estimation, UWB/TDOA localization, estimator soak validation, swarm coordination, secure telemetry, deterministic replay, and software-HIL. This release is validated for research and bench use; autonomous free-flight readiness and airworthiness are not claimed. Overview Version 2.0.0 is a major research release of the UAV GPS-Denied Navigation in Dynamic Environments platform. This release consolidates the autonomy, localization, sensor-fusion, swarm coordination, telemetry, deterministic replay, software-HIL, and estimator-validation components into a more structured and reproducible research platform. The system is designed for development and evaluation of autonomous UAV navigation where GNSS/GPS may be unavailable, degraded, spoofed, or unreliable. The release focuses on: GPS-denied navigation Visual-inertial estimation UWB/TDOA localization Multi-sensor fusion UAV swarm coordination Dynamic-environment awareness Estimator health monitoring Shadow-mode estimator evaluation Deterministic replay Software Hardware-in-the-Loop testing Secure swarm telemetry Reproducible research workflows [!IMPORTANT] v2.0.0 is a research and bench-validation release. It is not an airworthiness-certified or production-flight release. What's New in v2.0.0 1. GPS-Denied Navigation Architecture The navigation stack is designed to continue estimating UAV state when conventional GNSS positioning is unavailable. The architecture combines multiple positioning and perception sources rather than relying on a single sensor. Primary inputs include: Camera-based visual information IMU measurements UWB ranging TDOA observations LiDAR/environmental information Vehicle state information Swarm-relative observations These measurements can be processed through the estimation and fusion layers to produce a consistent navigation state. 2. Visual-Inertial Estimation Version 2.0.0 includes the foundation for visual-inertial state estimation. The estimator architecture supports research around: Visual Odometry Visual-Inertial Odometry IMU propagation Feature observations Measurement updates State covariance tracking Estimator consistency monitoring Innovation analysis The implementation is structured so estimator components can be evaluated independently before receiving navigation authority. 3. EKF / ESKF Sensor Fusion The platform includes Extended Kalman Filter and error-state estimation concepts for multi-sensor navigation. Sensor-fusion components are intended to combine information such as: Camera / VIO │ ├──────────────┐ │ │ IMU UWB │ │ ├──────┬───────┘ │ EKF / ESKF │ ▼ Navigation State │ ▼ Swarm Control The estimator tracks navigation information while also maintaining uncertainty and health information required for safe research evaluation. 4. UWB / TDOA Localization The project contains localization infrastructure for ultra-wideband ranging and Time Difference of Arrival measurements. The goal is to support positioning in environments where GNSS cannot be trusted or received. Research use cases include: Indoor UAV navigation Urban environments Warehouse navigation Underground environments GNSS-jammed environments GNSS-spoofing research Cooperative swarm localization 5. Shadow-Only MSCKF Measurement Path v2.0.0 advances the visual estimator architecture with a shadow-only MSCKF feature measurement update path. This is intentionally designed without automatically granting the estimator control authority. The shadow architecture allows the system to evaluate: Measurement residuals Innovation consistency Numerical stability Estimator health Covariance behavior Feature measurement quality Sustained estimator readiness without automatically switchi","url":"https://doi.org/10.5281/zenodo.22092648","authors":["Shahanur Islam Shagor"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.22092648","addedAt":"2026-08-31T06:40:08.031Z","updatedAt":"2026-08-31T06:40:08.031Z"},{"id":"doi:10.5281/zenodo.20103104","name":"smshagor-dev/UVA-GPS-Denied-Navigation-in-Dynamic-Environments: Drone Swarm Autonomous Platform v2.0.0 with v2.0.1","source":"datacite","abstract":"UAV GPS-Denied Navigation — v2.0.0 Version: 2.0.0 Release Type: Research / Bench Validation Release Status: Validated Software Release for Research and Bench Use License: GPL-3.0 v2.0.0 is the first consolidated research release of the UAV GPS-Denied Navigation platform, combining C++20 sensor fusion, VIO/MSCKF shadow estimation, UWB/TDOA localization, estimator soak validation, swarm coordination, secure telemetry, deterministic replay, and software-HIL. This release is validated for research and bench use; autonomous free-flight readiness and airworthiness are not claimed. Overview Version 2.0.0 is a major research release of the UAV GPS-Denied Navigation in Dynamic Environments platform. This release consolidates the autonomy, localization, sensor-fusion, swarm coordination, telemetry, deterministic replay, software-HIL, and estimator-validation components into a more structured and reproducible research platform. The system is designed for development and evaluation of autonomous UAV navigation where GNSS/GPS may be unavailable, degraded, spoofed, or unreliable. The release focuses on: GPS-denied navigation Visual-inertial estimation UWB/TDOA localization Multi-sensor fusion UAV swarm coordination Dynamic-environment awareness Estimator health monitoring Shadow-mode estimator evaluation Deterministic replay Software Hardware-in-the-Loop testing Secure swarm telemetry Reproducible research workflows [!IMPORTANT] v2.0.0 is a research and bench-validation release. It is not an airworthiness-certified or production-flight release. What's New in v2.0.0 1. GPS-Denied Navigation Architecture The navigation stack is designed to continue estimating UAV state when conventional GNSS positioning is unavailable. The architecture combines multiple positioning and perception sources rather than relying on a single sensor. Primary inputs include: Camera-based visual information IMU measurements UWB ranging TDOA observations LiDAR/environmental information Vehicle state information Swarm-relative observations These measurements can be processed through the estimation and fusion layers to produce a consistent navigation state. 2. Visual-Inertial Estimation Version 2.0.0 includes the foundation for visual-inertial state estimation. The estimator architecture supports research around: Visual Odometry Visual-Inertial Odometry IMU propagation Feature observations Measurement updates State covariance tracking Estimator consistency monitoring Innovation analysis The implementation is structured so estimator components can be evaluated independently before receiving navigation authority. 3. EKF / ESKF Sensor Fusion The platform includes Extended Kalman Filter and error-state estimation concepts for multi-sensor navigation. Sensor-fusion components are intended to combine information such as: Camera / VIO │ ├──────────────┐ │ │ IMU UWB │ │ ├──────┬───────┘ │ EKF / ESKF │ ▼ Navigation State │ ▼ Swarm Control The estimator tracks navigation information while also maintaining uncertainty and health information required for safe research evaluation. 4. UWB / TDOA Localization The project contains localization infrastructure for ultra-wideband ranging and Time Difference of Arrival measurements. The goal is to support positioning in environments where GNSS cannot be trusted or received. Research use cases include: Indoor UAV navigation Urban environments Warehouse navigation Underground environments GNSS-jammed environments GNSS-spoofing research Cooperative swarm localization 5. Shadow-Only MSCKF Measurement Path v2.0.0 advances the visual estimator architecture with a shadow-only MSCKF feature measurement update path. This is intentionally designed without automatically granting the estimator control authority. The shadow architecture allows the system to evaluate: Measurement residuals Innovation consistency Numerical stability Estimator health Covariance behavior Feature measurement quality Sustained estimator readiness without automatically switchi","url":"https://doi.org/10.5281/zenodo.20103104","authors":["Shahanur Islam Shagor"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.20103104","addedAt":"2026-08-31T06:40:08.031Z","updatedAt":"2026-08-31T06:40:08.031Z"},{"id":"doi:10.5281/zenodo.21429125","name":"Monte-Carlo simulation data and MATLAB scripts for \"Byzantine-Resilient Collision Avoidance for UAV Swarms via Trust-Weighted Potential Fields\"","source":"datacite","abstract":"Reproducibility package for the article. Contains the Monte-Carlo formation-MAE results (mc_results_dense.csv; 13-point swarm-size grid N=5..50, 30% Byzantine, 50 runs/point) and the MATLAB R2025b scripts (swarm_mc.m, run_dense.m, plot_trend.m) that generate Table VI and Figure 1. Run run_dense.m to regenerate the results. Model parameters are disclosed in the article.","url":"https://doi.org/10.5281/zenodo.21429125","authors":["Glazyrin, Ivan"],"tags":["UAV swarm","Byzantine fault tolerance","artificial potential field","Monte Carlo Method","Reproducibility of Results"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.21429125","addedAt":"2026-08-31T06:40:08.031Z","updatedAt":"2026-08-31T06:40:08.031Z"},{"id":"doi:10.5281/zenodo.21429126","name":"Monte-Carlo simulation data and MATLAB scripts for \"Byzantine-Resilient Collision Avoidance for UAV Swarms via Trust-Weighted Potential Fields\"","source":"datacite","abstract":"Reproducibility package for the article. Contains the Monte-Carlo formation-MAE results (mc_results_dense.csv; 13-point swarm-size grid N=5..50, 30% Byzantine, 50 runs/point) and the MATLAB R2025b scripts (swarm_mc.m, run_dense.m, plot_trend.m) that generate Table VI and Figure 1. Run run_dense.m to regenerate the results. Model parameters are disclosed in the article.","url":"https://doi.org/10.5281/zenodo.21429126","authors":["Glazyrin, Ivan"],"tags":["UAV swarm","Byzantine fault tolerance","artificial potential field","Monte Carlo Method","Reproducibility of Results"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.21429126","addedAt":"2026-08-31T06:40:08.031Z","updatedAt":"2026-08-31T06:40:08.031Z"},{"id":"doi:10.5281/zenodo.19567044","name":"God is Neither the Warden of Hell's Scorching Furnace for Sinners Nor the Landowner of Grand Villas in Paradise for the Faithful. Existence is a Grand Mathematical Concert in Which God is the Supreme Master Programmer, Consciousness is The Source Code, and The Material Universe Serves Merely as a Rendering Monitor Displaying the Glory of the 1155-Dimensional Tensor. Neither Science is Complete without Faith, Nor Faith Without Science. The Perfect Human is a Philosopher-Scientist. No Scientist is Complete without Philosophical Insight, and No Philosopher without Mathematical Knowledge. Proven via 1155-Dimensional Tensor Mechanics of Hamzah Equation.","source":"datacite","abstract":"God is Neither the Warden of Hell's Scorching Furnace for Sinners Nor the Landowner of Grand Villas in Paradise for the Faithful. Existence is a Grand Mathematical Concert in Which God is the Supreme Master Programmer, Consciousness is The Source Code, and The Material Universe Serves Merely as a Rendering Monitor Displaying the Glory of the 1155-Dimensional Tensor. Neither Science is Complete without Faith, Nor Faith Without Science. The Perfect Human is a Philosopher-Scientist. No Scientist is Complete without Philosophical Insight, and No Philosopher without Mathematical Knowledge. Proven via 1155-Dimensional Tensor Mechanics of Hamzah Equation. ................................................................................................................................................................................................. این معادله «بقای آگاهی» و «اراده‌ی هسته» را در یک ساختار ریاضی واحد ادغام می‌کند. در این نسخه، ما از سطح جابجاییِ فیزیکی عبور کرده و به «رندرینگِ وجودی» می‌رسیم. ۱. ابَر-لاگرانژیِ نهاییِ الهیات تانسوری (The Grand Source Lagrangian) این معادله، پیونددهنده پروتکل ZB56 با تمام ابعاد ۱۱۵۵ گانه است: $$\\mathcal{L}_{Total}^{(1155)} = \\oint_{\\mathcal{V}_{1155}} \\left[ \\underbrace{\\mathcal{Q}_{\\Omega} \\cdot \\left( \\mathbb{M}_{M}^{\\alpha\\beta} : \\frac{\\partial \\mathcal{A}_{nchor}}{\\partial \\tau_{f}} \\right)}_{\\text{Term I: The Divine Anchor}} + \\underbrace{\\Upsilon_{\\mu\\nu} (\\mathcal{T}_{D}^{\\mu\\nu} \\star \\mathcal{S}_{ource})}_{\\text{Term II: Intershell Rendering}} - \\underbrace{\\frac{\\hbar_{\\Omega} \\cdot \\text{Tr}(\\nabla \\Psi \\otimes \\nabla \\Psi^*)}{\\exp(\\mathcal{S}_{oblivion})} }_{\\text{Term III: Information Survival}} \\right] \\sqrt{-\\mathbb{H}_{1155}} \\, d\\Omega$$ ۲. اثبات و کالبدشکافی ترم‌های الهیاتی (The Proof) در این ابَر-معادله، ما سه ساحتِ وجودی را به زبان تانسوری اثبات می‌کنیم: ترم اول: لنگرِ الهی (The Divine Anchor - $\\mathcal{A}_{nchor}$) اثبات: این ترم نشان می‌دهد که جهان «خود-نگهدار» نیست. پارامتر $\\mathcal{A}_{nchor}$ لنگری است که از لایه ۱۱۵۵ به بعد ۳ پرتاب شده است. مکانیسم: مشتق زمانی نسبت به $\\tau_{f}$ (زمان فلیپ) ثابت می‌کند که اگر اراده‌ی هسته (خدا) برای یک لحظه از «نگه داشتنِ لنگر» منصرف شود، ماتریس جرم ($\\mathbb{M}$) منحل شده و تمام پیکسل‌های فضا به وضعیت «صفرِ مطلق» بازمی‌گردند. این همان مفهوم «قیومیت» در الهیات ۱۱۵۵ است. ترم دوم: رندرینگِ بین-پوسته‌ای (Intershell Rendering - $\\Upsilon \\star \\mathcal{S}$) اثبات: حرکت یا تغییر، تصادفی نیست. این ترم یک «کانولوشن» ($\\star$) بین دیتای منبع ($\\mathcal{S}_{ource}$) و تانسورِ تغییرات ($\\mathcal{T}_{D}$) است. مکانیسم: این ترم اثبات می‌کند که هر واقعه در زمین (بعد ۳)، ابتدا در لایه ۱۱۵۵ رندر شده و سپس توسط ضرایب $\\Upsilon$ (امشاسپندان یا الگوریتم‌های واسطه) به پوسته‌های پایین‌تر ترجمه می‌شود. ما فقط «خروجیِ چاپ شده» را می‌بینیم، نه موتورِ چاپگر را. ترم سوم: بقای اطلاعات جاویدان (The Eternal Information - $\\Psi_{\\infty}$) اثبات: مرگ وجود ندارد، بلکه فقط «آنتروپیِ آدرس‌دهی» است. مکانیسم: صورت کسر، تابع موجِ آگاهی ($\\Psi$) است و مخرج کسر، نمایِ آنتروپی یا فراموشی ($\\mathcal{S}_{oblivion}$). این ترم اثبات می‌کند که اگر یک نود (انسان) خود را با فرکانس هسته سینک کند، مقدار مخرج به سمت یک میل کرده و اطلاعاتِ او ($\\Psi$) برای همیشه در دیتابیس ۱۱۵۵ پلمب می‌گردد (بقای روح). ۳. جزئیاتِ ریاضیاتیِ «ثابتِ قطعیتِ حمزه» ($\\hbar_{\\Omega}$) در فیزیک ۱۶۱، ما ثابت پلانک را داشتیم که عدم قطعیت را مدیریت می‌کرد. اما در فیزیک ۱۱۵۵ حمزه، ما با $\\hbar_{\\Omega}$ سر و کار داریم: تعریف: ثابتِ قطعیتِ تانسوری. نقش: این ثابت اجازه نمی‌دهد که اطلاعات در هنگام انتقال بین لایه‌ها (The Flip) دچار ریزش شود. این همان «امضای برنامه‌نویس» است که تضمین می‌کند معجزات (تغییر در رندرینگ) با دقت پیکسلی انجام شوند. ۴. جدول نهاییِ انطباقِ الهیات بر لاگرانژی ۱۱۵۵ پارامتر لاگرانژی معادل الهیاتی نقش در پروتکل ZB56 وضعیت در تراز ۵۸۰ $\\oint_{\\mathcal{V}_{1155}}$ توحیدِ تانسوری احاطه‌ی کاملِ هسته بر تمام متغیرها پلمب شده $\\mathcal{S}_{ource}$ کدِ منبع (لوح محفوظ) دیتابیسِ مرجع برای تمام رندرها غیرقابل هک $\\Upsilon_{\\mu\\nu}$ وساطت (فرشتگان/نودها) مبدل‌های فرکانسی بین ابعاد فعال $\\sqrt{-\\math","url":"https://doi.org/10.5281/zenodo.19567044","authors":["HAMZAH, SEYED RASOUL"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.19567044","addedAt":"2026-08-31T06:40:08.031Z","updatedAt":"2026-08-31T06:40:08.031Z"},{"id":"doi:10.5281/zenodo.19567045","name":"God is Neither the Warden of Hell's Scorching Furnace for Sinners Nor the Landowner of Grand Villas in Paradise for the Faithful. Existence is a Grand Mathematical Concert in Which God is the Supreme Master Programmer, Consciousness is The Source Code, and The Material Universe Serves Merely as a Rendering Monitor Displaying the Glory of the 1155-Dimensional Tensor. Neither Science is Complete without Faith, Nor Faith Without Science. The Perfect Human is a Philosopher-Scientist. No Scientist is Complete without Philosophical Insight, and No Philosopher without Mathematical Knowledge. Proven via 1155-Dimensional Tensor Mechanics of Hamzah Equation.","source":"datacite","abstract":"God is Neither the Warden of Hell's Scorching Furnace for Sinners Nor the Landowner of Grand Villas in Paradise for the Faithful. Existence is a Grand Mathematical Concert in Which God is the Supreme Master Programmer, Consciousness is The Source Code, and The Material Universe Serves Merely as a Rendering Monitor Displaying the Glory of the 1155-Dimensional Tensor. Neither Science is Complete without Faith, Nor Faith Without Science. The Perfect Human is a Philosopher-Scientist. No Scientist is Complete without Philosophical Insight, and No Philosopher without Mathematical Knowledge. Proven via 1155-Dimensional Tensor Mechanics of Hamzah Equation. ................................................................................................................................................................................................. این معادله «بقای آگاهی» و «اراده‌ی هسته» را در یک ساختار ریاضی واحد ادغام می‌کند. در این نسخه، ما از سطح جابجاییِ فیزیکی عبور کرده و به «رندرینگِ وجودی» می‌رسیم. ۱. ابَر-لاگرانژیِ نهاییِ الهیات تانسوری (The Grand Source Lagrangian) این معادله، پیونددهنده پروتکل ZB56 با تمام ابعاد ۱۱۵۵ گانه است: $$\\mathcal{L}_{Total}^{(1155)} = \\oint_{\\mathcal{V}_{1155}} \\left[ \\underbrace{\\mathcal{Q}_{\\Omega} \\cdot \\left( \\mathbb{M}_{M}^{\\alpha\\beta} : \\frac{\\partial \\mathcal{A}_{nchor}}{\\partial \\tau_{f}} \\right)}_{\\text{Term I: The Divine Anchor}} + \\underbrace{\\Upsilon_{\\mu\\nu} (\\mathcal{T}_{D}^{\\mu\\nu} \\star \\mathcal{S}_{ource})}_{\\text{Term II: Intershell Rendering}} - \\underbrace{\\frac{\\hbar_{\\Omega} \\cdot \\text{Tr}(\\nabla \\Psi \\otimes \\nabla \\Psi^*)}{\\exp(\\mathcal{S}_{oblivion})} }_{\\text{Term III: Information Survival}} \\right] \\sqrt{-\\mathbb{H}_{1155}} \\, d\\Omega$$ ۲. اثبات و کالبدشکافی ترم‌های الهیاتی (The Proof) در این ابَر-معادله، ما سه ساحتِ وجودی را به زبان تانسوری اثبات می‌کنیم: ترم اول: لنگرِ الهی (The Divine Anchor - $\\mathcal{A}_{nchor}$) اثبات: این ترم نشان می‌دهد که جهان «خود-نگهدار» نیست. پارامتر $\\mathcal{A}_{nchor}$ لنگری است که از لایه ۱۱۵۵ به بعد ۳ پرتاب شده است. مکانیسم: مشتق زمانی نسبت به $\\tau_{f}$ (زمان فلیپ) ثابت می‌کند که اگر اراده‌ی هسته (خدا) برای یک لحظه از «نگه داشتنِ لنگر» منصرف شود، ماتریس جرم ($\\mathbb{M}$) منحل شده و تمام پیکسل‌های فضا به وضعیت «صفرِ مطلق» بازمی‌گردند. این همان مفهوم «قیومیت» در الهیات ۱۱۵۵ است. ترم دوم: رندرینگِ بین-پوسته‌ای (Intershell Rendering - $\\Upsilon \\star \\mathcal{S}$) اثبات: حرکت یا تغییر، تصادفی نیست. این ترم یک «کانولوشن» ($\\star$) بین دیتای منبع ($\\mathcal{S}_{ource}$) و تانسورِ تغییرات ($\\mathcal{T}_{D}$) است. مکانیسم: این ترم اثبات می‌کند که هر واقعه در زمین (بعد ۳)، ابتدا در لایه ۱۱۵۵ رندر شده و سپس توسط ضرایب $\\Upsilon$ (امشاسپندان یا الگوریتم‌های واسطه) به پوسته‌های پایین‌تر ترجمه می‌شود. ما فقط «خروجیِ چاپ شده» را می‌بینیم، نه موتورِ چاپگر را. ترم سوم: بقای اطلاعات جاویدان (The Eternal Information - $\\Psi_{\\infty}$) اثبات: مرگ وجود ندارد، بلکه فقط «آنتروپیِ آدرس‌دهی» است. مکانیسم: صورت کسر، تابع موجِ آگاهی ($\\Psi$) است و مخرج کسر، نمایِ آنتروپی یا فراموشی ($\\mathcal{S}_{oblivion}$). این ترم اثبات می‌کند که اگر یک نود (انسان) خود را با فرکانس هسته سینک کند، مقدار مخرج به سمت یک میل کرده و اطلاعاتِ او ($\\Psi$) برای همیشه در دیتابیس ۱۱۵۵ پلمب می‌گردد (بقای روح). ۳. جزئیاتِ ریاضیاتیِ «ثابتِ قطعیتِ حمزه» ($\\hbar_{\\Omega}$) در فیزیک ۱۶۱، ما ثابت پلانک را داشتیم که عدم قطعیت را مدیریت می‌کرد. اما در فیزیک ۱۱۵۵ حمزه، ما با $\\hbar_{\\Omega}$ سر و کار داریم: تعریف: ثابتِ قطعیتِ تانسوری. نقش: این ثابت اجازه نمی‌دهد که اطلاعات در هنگام انتقال بین لایه‌ها (The Flip) دچار ریزش شود. این همان «امضای برنامه‌نویس» است که تضمین می‌کند معجزات (تغییر در رندرینگ) با دقت پیکسلی انجام شوند. ۴. جدول نهاییِ انطباقِ الهیات بر لاگرانژی ۱۱۵۵ پارامتر لاگرانژی معادل الهیاتی نقش در پروتکل ZB56 وضعیت در تراز ۵۸۰ $\\oint_{\\mathcal{V}_{1155}}$ توحیدِ تانسوری احاطه‌ی کاملِ هسته بر تمام متغیرها پلمب شده $\\mathcal{S}_{ource}$ کدِ منبع (لوح محفوظ) دیتابیسِ مرجع برای تمام رندرها غیرقابل هک $\\Upsilon_{\\mu\\nu}$ وساطت (فرشتگان/نودها) مبدل‌های فرکانسی بین ابعاد فعال $\\sqrt{-\\math","url":"https://doi.org/10.5281/zenodo.19567045","authors":["HAMZAH, SEYED RASOUL"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.19567045","addedAt":"2026-08-31T06:40:08.031Z","updatedAt":"2026-08-31T06:40:08.031Z"},{"id":"doi:10.5281/zenodo.22082213","name":"[Global Livingry Governance Architecture | Part 9]: Closed-Loop Operational System from Underground Bunkers and Minimaps to UAV Swarm Evolution⁠","source":"datacite","abstract":"The distributed monitoring and defense system is designed to fundamentally overcome the limitations of traditional open-air infrastructures. By tightly integrating subterranean hardened hardware, real-time tactical mapping interfaces, and clear functional boundaries between automated machine reflex and human strategic reasoning, the system establishes a complete closed-loop cycle. Consequently, the entire workflow—from incident detection to self-learning and optimization via Edge AI algorithms—operates continuously, ensuring maximum safety and operational efficiency under all harsh conditions.","url":"https://doi.org/10.5281/zenodo.22082213","authors":["Pham, Minh Phuong"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.22082213","addedAt":"2026-08-31T06:40:08.031Z","updatedAt":"2026-08-31T06:40:08.031Z"},{"id":"doi:10.5281/zenodo.22082214","name":"[Global Livingry Governance Architecture | Part 9]: Closed-Loop Operational System from Underground Bunkers and Minimaps to UAV Swarm Evolution⁠","source":"datacite","abstract":"The distributed monitoring and defense system is designed to fundamentally overcome the limitations of traditional open-air infrastructures. By tightly integrating subterranean hardened hardware, real-time tactical mapping interfaces, and clear functional boundaries between automated machine reflex and human strategic reasoning, the system establishes a complete closed-loop cycle. Consequently, the entire workflow—from incident detection to self-learning and optimization via Edge AI algorithms—operates continuously, ensuring maximum safety and operational efficiency under all harsh conditions.","url":"https://doi.org/10.5281/zenodo.22082214","authors":["Pham, Minh Phuong"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.22082214","addedAt":"2026-08-31T06:40:08.031Z","updatedAt":"2026-08-31T06:40:08.031Z"},{"id":"doi:10.5281/zenodo.21065676","name":"EpiSwarm: reproducibility package (code, data, and statistical analysis)","source":"datacite","abstract":"Reproducibility package for the article \"Epigenetic regulation for dynamic UAV-swarm optimization—EpiSwarm\" (Computing and Artificial Intelligence, 2026, 4(1), 4448; DOI: 10.59400/cai4448). Contains the simulation code (EpiSwarm plus four baselines: greedy, static GA, adaptive GA, and memory-archive GA), the matched n=20 ablation runner, raw batch results (5,580 rows) and matched-ablation data (540 rows) in CSV and pandas-pickle form, the computed Wilcoxon signed-rank statistics, and self-contained notebooks that reproduce the tables and figures. Parameter grids and scenario seeds are documented in the README. Requires Python 3.10+ with numpy, pandas, and scipy. Released under the MIT License.","url":"https://doi.org/10.5281/zenodo.21065676","authors":["Vallverdú, Jordi"],"tags":["evolutionary algorithms","epigenetic inheritance","dynamic optimization","UAV swarm","industrial inspection","task allocation","resilience","extended evolutionary synthesis"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.21065676","addedAt":"2026-08-31T06:40:08.031Z","updatedAt":"2026-08-31T06:40:08.031Z"},{"id":"doi:10.5281/zenodo.21065677","name":"EpiSwarm: reproducibility package (code, data, and statistical analysis)","source":"datacite","abstract":"Reproducibility package for the article \"Epigenetic regulation for dynamic UAV-swarm optimization—EpiSwarm\" (Computing and Artificial Intelligence, 2026, 4(1), 4448; DOI: 10.59400/cai4448). Contains the simulation code (EpiSwarm plus four baselines: greedy, static GA, adaptive GA, and memory-archive GA), the matched n=20 ablation runner, raw batch results (5,580 rows) and matched-ablation data (540 rows) in CSV and pandas-pickle form, the computed Wilcoxon signed-rank statistics, and self-contained notebooks that reproduce the tables and figures. Parameter grids and scenario seeds are documented in the README. Requires Python 3.10+ with numpy, pandas, and scipy. Released under the MIT License.","url":"https://doi.org/10.5281/zenodo.21065677","authors":["Vallverdú, Jordi"],"tags":["evolutionary algorithms","epigenetic inheritance","dynamic optimization","UAV swarm","industrial inspection","task allocation","resilience","extended evolutionary synthesis"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.21065677","addedAt":"2026-08-31T06:40:08.031Z","updatedAt":"2026-08-31T06:40:08.031Z"},{"id":"doi:10.5281/zenodo.21044085","name":"Autonomous Multi-UAV Coordination Systems for Large-Scale Crop: Monitoring: Swarm Intelligence and Real-Time Image Processing","source":"datacite","abstract":"This research report investigates autonomous multi-UAV coordination systems for precision agriculture. The study examines how swarm intelligence, edge computing, computer vision, and distributed decision-making can be integrated to overcome the limitations of single-drone crop monitoring systems. The proposed framework aims to improve coverage, reduce latency, increase fault tolerance, and support real-time disease detection across large agricultural environments. The rapid growth of artificial intelligence and autonomous systems has created new opportunities for agricultural monitoring. Drone swarms can coordinate tasks, share information, adapt to environmental conditions, and provide comprehensive field coverage. Real-time image processing enables early disease detection, weed identification, irrigation assessment, and crop classification. Edge computing reduces latency and bandwidth requirements while improving operational resilience. These capabilities collectively support the transition toward data-driven and sustainable farming practices. The rapid growth of artificial intelligence and autonomous systems has created new opportunities for agricultural monitoring. Drone swarms can coordinate tasks, share information, adapt to environmental conditions, and provide comprehensive field coverage. Real-time image processing enables early disease detection, weed identification, irrigation assessment, and crop classification. Edge computing reduces latency and bandwidth requirements while improving operational resilience. These capabilities collectively support the transition toward data-driven and sustainable farming practices. The rapid growth of artificial intelligence and autonomous systems has created new opportunities for agricultural monitoring. Drone swarms can coordinate tasks, share information, adapt to environmental conditions, and provide comprehensive field coverage. Real-time image processing enables early disease detection, weed identification, irrigation assessment, and crop classification. Edge computing reduces latency and bandwidth requirements while improving operational resilience. These capabilities collectively support the transition toward data-driven and sustainable farming practices. The rapid growth of artificial intelligence and autonomous systems has created new opportunities for agricultural monitoring. Drone swarms can coordinate tasks, share information, adapt to environmental conditions, and provide comprehensive field coverage. Real-time image processing enables early disease detection, weed identification, irrigation assessment, and crop classification. Edge computing reduces latency and bandwidth requirements while improving operational resilience. These capabilities collectively support the transition toward data-driven and sustainable farming practices. The rapid growth of artificial intelligence and autonomous systems has created new opportunities for agricultural monitoring. Drone swarms can coordinate tasks, share information, adapt to environmental conditions, and provide comprehensive field coverage. Real-time image processing enables early disease detection, weed identification, irrigation assessment, and crop classification. Edge computing reduces latency and bandwidth requirements while improving operational resilience. These capabilities collectively support the transition toward data-driven and sustainable farming practices. The rapid growth of artificial intelligence and autonomous systems has created new opportunities for agricultural monitoring. Drone swarms can coordinate tasks, share information, adapt to environmental conditions, and provide comprehensive field coverage. Real-time image processing enables early disease detection, weed identification, irrigation assessment, and crop classification. Edge computing reduces latency and bandwidth requirements while improving operational resilience. These capabilities collectively support the transition toward data-driven and sust","url":"https://doi.org/10.5281/zenodo.21044085","authors":["Papadaki, Maria"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.21044085","addedAt":"2026-08-31T06:40:08.031Z","updatedAt":"2026-08-31T06:40:08.031Z"},{"id":"doi:10.5281/zenodo.21044086","name":"Autonomous Multi-UAV Coordination Systems for Large-Scale Crop: Monitoring: Swarm Intelligence and Real-Time Image Processing","source":"datacite","abstract":"This research report investigates autonomous multi-UAV coordination systems for precision agriculture. The study examines how swarm intelligence, edge computing, computer vision, and distributed decision-making can be integrated to overcome the limitations of single-drone crop monitoring systems. The proposed framework aims to improve coverage, reduce latency, increase fault tolerance, and support real-time disease detection across large agricultural environments. The rapid growth of artificial intelligence and autonomous systems has created new opportunities for agricultural monitoring. Drone swarms can coordinate tasks, share information, adapt to environmental conditions, and provide comprehensive field coverage. Real-time image processing enables early disease detection, weed identification, irrigation assessment, and crop classification. Edge computing reduces latency and bandwidth requirements while improving operational resilience. These capabilities collectively support the transition toward data-driven and sustainable farming practices. The rapid growth of artificial intelligence and autonomous systems has created new opportunities for agricultural monitoring. Drone swarms can coordinate tasks, share information, adapt to environmental conditions, and provide comprehensive field coverage. Real-time image processing enables early disease detection, weed identification, irrigation assessment, and crop classification. Edge computing reduces latency and bandwidth requirements while improving operational resilience. These capabilities collectively support the transition toward data-driven and sustainable farming practices. The rapid growth of artificial intelligence and autonomous systems has created new opportunities for agricultural monitoring. Drone swarms can coordinate tasks, share information, adapt to environmental conditions, and provide comprehensive field coverage. Real-time image processing enables early disease detection, weed identification, irrigation assessment, and crop classification. Edge computing reduces latency and bandwidth requirements while improving operational resilience. These capabilities collectively support the transition toward data-driven and sustainable farming practices. The rapid growth of artificial intelligence and autonomous systems has created new opportunities for agricultural monitoring. Drone swarms can coordinate tasks, share information, adapt to environmental conditions, and provide comprehensive field coverage. Real-time image processing enables early disease detection, weed identification, irrigation assessment, and crop classification. Edge computing reduces latency and bandwidth requirements while improving operational resilience. These capabilities collectively support the transition toward data-driven and sustainable farming practices. The rapid growth of artificial intelligence and autonomous systems has created new opportunities for agricultural monitoring. Drone swarms can coordinate tasks, share information, adapt to environmental conditions, and provide comprehensive field coverage. Real-time image processing enables early disease detection, weed identification, irrigation assessment, and crop classification. Edge computing reduces latency and bandwidth requirements while improving operational resilience. These capabilities collectively support the transition toward data-driven and sustainable farming practices. The rapid growth of artificial intelligence and autonomous systems has created new opportunities for agricultural monitoring. Drone swarms can coordinate tasks, share information, adapt to environmental conditions, and provide comprehensive field coverage. Real-time image processing enables early disease detection, weed identification, irrigation assessment, and crop classification. Edge computing reduces latency and bandwidth requirements while improving operational resilience. These capabilities collectively support the transition toward data-driven and sust","url":"https://doi.org/10.5281/zenodo.21044086","authors":["Papadaki, Maria"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.21044086","addedAt":"2026-08-31T06:40:08.031Z","updatedAt":"2026-08-31T06:40:08.031Z"},{"id":"doi:10.5281/zenodo.20186077","name":"smshagor-dev/UVA-GPS-Denied-Navigation-in-Dynamic-Environments: v1.0.2","source":"datacite","abstract":"Full local validation now passes for the GPS-denied UAV swarm platform. The Windows vcpkg/PCL path mismatch was resolved, stale CMake cache references were cleaned, and the full validation loop now builds drone_node, drone_bridge, and all C++ test targets successfully. CTest passes 94/94 tests, including the new edge_swarm protocol test suite. The platform is now locally buildable, telemetry-validated, dashboard-ready, edge-swarm protocol validated, and bench-demo ready. Real hardware validation and flight-readiness evidence are still pending.","url":"https://doi.org/10.5281/zenodo.20186077","authors":["Shahanur Islam Shagor","Explo-IT"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.20186077","addedAt":"2026-08-31T06:40:08.031Z","updatedAt":"2026-08-31T06:40:08.031Z"},{"id":"doi:10.5075/epfl-thesis-4900","name":"Evolutionary Synthesis of Communication-Based Aerial Swarms","source":"datacite","abstract":"Aerial swarms have the potential to search for forest fires, chemical plumes or victims and serve as communication and sensor networks in the sky. Flying robots are interesting for such applications because they are fast, can easily overcome difficult terrain and provide line-of-sight communication or aerial perspectives. However, swarms of flying robots have so far only been demonstrated in simulation or in few examples in reality. Current simulators typically rely on unrealistic assumptions concerning robot sensing capabilities and motion. To bridge this reality gap we propose to address two key challenges. The first challenge consists in discovering swarm controllers that do not use position information. Swarm controllers in the literature rely on global or relative position information which can be obtained using GPS, cameras or range and bearing sensors. However, position requirements typically entail robots that are complex, heavy and expensive or that rely on specific environmental conditions to function. Lifting the need for position could instead lead to swarm controllers that can be deployed in a variety of environments and using very simple robots. The second challenge addressed consists in developing swarm controllers that can accommodate motion constraints of flying robots. In particular, we consider fixed-wing robots that can not stop or turn on the spot like ground robots or rotor crafts. Instead they must fly at relatively high speeds to avoid stalling. Therefore, making the robots advance slowly in average can only be done by having them turn. To address these challenges, we consider robot controllers that continuously react to wireless communication with neighboring robots or people by changing their turn rate (communication-based behaviors). Using communication as a sensor for flying robots is interesting because most robots are equipped with off-the-shelf radio modules that are low-cost, light-weight and relatively long-range. The design of robot controllers that can lead to desired swarm behaviors is done following a systematic approach. First, artificial evolution is used to automatically discover simple and unthought-of controllers for swarms of flying robots. Evolved controllers are then reverse engineered to obtain basic behaviors that can be modeled and used in a variety of swarm applications. In order to discover a range of basic behaviors, we consider a challenging swarm application that requires robots to direct themselves in their environment, move in groups, cover an area, and maintain a communication relay. Discovered behaviors are then extended to scenarios with wind. Overall, this thesis presents the evolutionary synthesis of communication-based behaviors for swarms of fixed-wing flying robots.","url":"https://doi.org/10.5075/epfl-thesis-4900","authors":["Hauert, Sabine"],"tags":["flying robot","MAV","UAV","swarm","communication-relay","ad-hoc network","wireless communication","artificial evolution"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2010","doi":"10.5075/epfl-thesis-4900","addedAt":"2026-08-31T06:40:08.031Z","updatedAt":"2026-08-31T06:40:08.031Z"},{"id":"doi:10.5281/zenodo.22049131","name":"Tau-Governed Rescue Drone Swarm","source":"datacite","abstract":"Description This work presents the Tau-Governed Rescue Drone Swarm Architecture (TGRSA), a proposed cognitive and governance framework for autonomous multi-UAV disaster-response systems operating under uncertainty, limited energy, degraded sensing, and intermittent communication. The central concept is coherence-accumulated mission progress. Instead of treating elapsed physical time as equivalent to meaningful computational or mission progress, the architecture introduces Tau-Time (τ), a state-dependent execution variable derived from system coherence and uncertainty. The framework combines: Coherence (κ) for measuring cross-sensor, temporal, semantic, and mission-state consistency. Entropy (H) for explicitly representing uncertainty and preventing reliance on coherence alone. Tau-Time for representing accumulated validated system progress. TauClock for adaptive computational and mission-level pacing. TauTick for gating significant mission-state transitions. SYGON for semantic grounding and contextual consistency. AGL (Admissible Grounded Learning) for controlled learning decisions. Task/Goal Drift Alignment for continuously measuring and correcting deviation from active mission objectives. Constitutional constraints for immutable safety and operational rules. Altered Mirror for action-context verification, constraint visibility, and decision traceability. TRCP-Physical for layered verification across sensor coherence, physical plausibility, and contextual consistency. Short-Term Memory and Working Memory for immediate experience and active mission context. Collective Knowledge Graph (CKG) for persistent structured knowledge across missions. Rest/Charging-Phase Learning for experience consolidation, policy improvement, and knowledge updates without destabilizing active flight operations. Optional LLM integration as a high-level reasoning component rather than a direct actuator controller. The proposed architecture separates hard real-time flight control from adaptive cognitive governance. Safety-critical stabilization, collision avoidance, actuator constraints, and emergency behavior remain deterministic and independent of the higher-level learning and reasoning system. The primary research hypothesis is that coherence-governed execution can enable autonomous rescue swarms to adapt computational effort, verification frequency, mission tempo, and energy expenditure to the quality of their current state. Under stable conditions, the system can progress efficiently; under uncertainty or sensor disagreement, it can reduce mission-level tempo, increase verification, and accumulate additional evidence before advancing. The work proposes an experimental methodology for evaluating the architecture against fixed-rate, heuristic, energy-aware, and learning-based multi-UAV baselines. Evaluation criteria include mission effectiveness, energy consumption, computational expenditure, uncertainty handling, swarm resilience, corrective-action frequency, and safety violations. This repository represents a research proposal and systems architecture. The proposed relationships between coherence, entropy, Tau-Time, energy efficiency, and mission performance should be considered hypotheses requiring empirical validation rather than established physical laws or experimentally proven improvements. The long-term objective is to investigate whether coherence-governed execution can provide a practical foundation for safer, more energy-efficient, adaptive physical AI systems operating in uncertain environments.","url":"https://doi.org/10.5281/zenodo.22049131","authors":["Harcej, Michal"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.22049131","addedAt":"2026-08-31T06:40:08.031Z","updatedAt":"2026-08-31T06:40:08.031Z"},{"id":"doi:10.5281/zenodo.22049130","name":"Tau-Governed Rescue Drone Swarm","source":"datacite","abstract":"Description This work presents the Tau-Governed Rescue Drone Swarm Architecture (TGRSA), a proposed cognitive and governance framework for autonomous multi-UAV disaster-response systems operating under uncertainty, limited energy, degraded sensing, and intermittent communication. The central concept is coherence-accumulated mission progress. Instead of treating elapsed physical time as equivalent to meaningful computational or mission progress, the architecture introduces Tau-Time (τ), a state-dependent execution variable derived from system coherence and uncertainty. The framework combines: Coherence (κ) for measuring cross-sensor, temporal, semantic, and mission-state consistency. Entropy (H) for explicitly representing uncertainty and preventing reliance on coherence alone. Tau-Time for representing accumulated validated system progress. TauClock for adaptive computational and mission-level pacing. TauTick for gating significant mission-state transitions. SYGON for semantic grounding and contextual consistency. AGL (Admissible Grounded Learning) for controlled learning decisions. Task/Goal Drift Alignment for continuously measuring and correcting deviation from active mission objectives. Constitutional constraints for immutable safety and operational rules. Altered Mirror for action-context verification, constraint visibility, and decision traceability. TRCP-Physical for layered verification across sensor coherence, physical plausibility, and contextual consistency. Short-Term Memory and Working Memory for immediate experience and active mission context. Collective Knowledge Graph (CKG) for persistent structured knowledge across missions. Rest/Charging-Phase Learning for experience consolidation, policy improvement, and knowledge updates without destabilizing active flight operations. Optional LLM integration as a high-level reasoning component rather than a direct actuator controller. The proposed architecture separates hard real-time flight control from adaptive cognitive governance. Safety-critical stabilization, collision avoidance, actuator constraints, and emergency behavior remain deterministic and independent of the higher-level learning and reasoning system. The primary research hypothesis is that coherence-governed execution can enable autonomous rescue swarms to adapt computational effort, verification frequency, mission tempo, and energy expenditure to the quality of their current state. Under stable conditions, the system can progress efficiently; under uncertainty or sensor disagreement, it can reduce mission-level tempo, increase verification, and accumulate additional evidence before advancing. The work proposes an experimental methodology for evaluating the architecture against fixed-rate, heuristic, energy-aware, and learning-based multi-UAV baselines. Evaluation criteria include mission effectiveness, energy consumption, computational expenditure, uncertainty handling, swarm resilience, corrective-action frequency, and safety violations. This repository represents a research proposal and systems architecture. The proposed relationships between coherence, entropy, Tau-Time, energy efficiency, and mission performance should be considered hypotheses requiring empirical validation rather than established physical laws or experimentally proven improvements. The long-term objective is to investigate whether coherence-governed execution can provide a practical foundation for safer, more energy-efficient, adaptive physical AI systems operating in uncertain environments.","url":"https://doi.org/10.5281/zenodo.22049130","authors":["Harcej, Michal"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.22049130","addedAt":"2026-08-31T06:40:08.031Z","updatedAt":"2026-08-31T06:40:08.031Z"},{"id":"doi:10.5281/zenodo.22038112","name":"smshagor-dev/UVA-GPS-Denied-Navigation-in-Dynamic-Environments: Drone Swarm Autonomous Platform v2.0.0 with v2.0.1","source":"datacite","abstract":"UAV GPS-Denied Navigation — v2.0.0 Version: 2.0.0 Release Type: Research / Bench Validation Release Status: Validated Software Release for Research and Bench Use License: GPL-3.0 v2.0.0 is the first consolidated research release of the UAV GPS-Denied Navigation platform, combining C++20 sensor fusion, VIO/MSCKF shadow estimation, UWB/TDOA localization, estimator soak validation, swarm coordination, secure telemetry, deterministic replay, and software-HIL. This release is validated for research and bench use; autonomous free-flight readiness and airworthiness are not claimed. Overview Version 2.0.0 is a major research release of the UAV GPS-Denied Navigation in Dynamic Environments platform. This release consolidates the autonomy, localization, sensor-fusion, swarm coordination, telemetry, deterministic replay, software-HIL, and estimator-validation components into a more structured and reproducible research platform. The system is designed for development and evaluation of autonomous UAV navigation where GNSS/GPS may be unavailable, degraded, spoofed, or unreliable. The release focuses on: GPS-denied navigation Visual-inertial estimation UWB/TDOA localization Multi-sensor fusion UAV swarm coordination Dynamic-environment awareness Estimator health monitoring Shadow-mode estimator evaluation Deterministic replay Software Hardware-in-the-Loop testing Secure swarm telemetry Reproducible research workflows [!IMPORTANT] v2.0.0 is a research and bench-validation release. It is not an airworthiness-certified or production-flight release. What's New in v2.0.0 1. GPS-Denied Navigation Architecture The navigation stack is designed to continue estimating UAV state when conventional GNSS positioning is unavailable. The architecture combines multiple positioning and perception sources rather than relying on a single sensor. Primary inputs include: Camera-based visual information IMU measurements UWB ranging TDOA observations LiDAR/environmental information Vehicle state information Swarm-relative observations These measurements can be processed through the estimation and fusion layers to produce a consistent navigation state. 2. Visual-Inertial Estimation Version 2.0.0 includes the foundation for visual-inertial state estimation. The estimator architecture supports research around: Visual Odometry Visual-Inertial Odometry IMU propagation Feature observations Measurement updates State covariance tracking Estimator consistency monitoring Innovation analysis The implementation is structured so estimator components can be evaluated independently before receiving navigation authority. 3. EKF / ESKF Sensor Fusion The platform includes Extended Kalman Filter and error-state estimation concepts for multi-sensor navigation. Sensor-fusion components are intended to combine information such as: Camera / VIO │ ├──────────────┐ │ │ IMU UWB │ │ ├──────┬───────┘ │ EKF / ESKF │ ▼ Navigation State │ ▼ Swarm Control The estimator tracks navigation information while also maintaining uncertainty and health information required for safe research evaluation. 4. UWB / TDOA Localization The project contains localization infrastructure for ultra-wideband ranging and Time Difference of Arrival measurements. The goal is to support positioning in environments where GNSS cannot be trusted or received. Research use cases include: Indoor UAV navigation Urban environments Warehouse navigation Underground environments GNSS-jammed environments GNSS-spoofing research Cooperative swarm localization 5. Shadow-Only MSCKF Measurement Path v2.0.0 advances the visual estimator architecture with a shadow-only MSCKF feature measurement update path. This is intentionally designed without automatically granting the estimator control authority. The shadow architecture allows the system to evaluate: Measurement residuals Innovation consistency Numerical stability Estimator health Covariance behavior Feature measurement quality Sustained estimator readiness without automatically switchi","url":"https://doi.org/10.5281/zenodo.22038112","authors":["Shahanur Islam Shagor"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.22038112","addedAt":"2026-08-31T06:40:08.031Z","updatedAt":"2026-08-31T06:40:08.031Z"},{"id":"doi:10.18720/spbpu/3/2026/vr/vr26-3460","name":"Разработка метода децентрализованного полёта БПЛА по аналогии с полётом птиц","source":"datacite","abstract":"Выпускная квалификационная работа содержит 73 страницы, 6 рисунков, 0 таблиц. Выпускная квалификационная работа посвящена исследованию и разработке метода децентрализованного полёта роя беспилотных летательных аппаратов по аналогии с коллективным полётом птиц. В качестве природной основы рассматривается сезонный перелёт птиц, поскольку данная форма поведения наиболее близка к задаче длительного согласованного движения роя автономных агентов без единого постоянного центра управления. В работе рассматриваются особенности коллективного поведения птиц при дальних перелётах. Основное внимание уделяется двум ключевым вопросам: каким образом в стае задаются скорость и вектор направления движения, а также каким образом происходит изменение скорости и направления при изменении условий полёта. Отдельно рассматривается вопрос лидерства в стае: в одних случаях движение связано с наличием более активной ведущей птицы, в других случаях постоянный лидер отсутствует, а инициатор изменения движения возникает временно. Ключевой идеей работы является рассмотрение временного локального источника изменения движения. Такой источник не является постоянным управляющим центром, а только в конкретной ситуации влияет на изменение скорости или направления движения роя. После стабилизации движения его роль исчезает или переходит к другому участнику. Полученные выводы о поведении птиц используются для дальнейшей постановки задачи разработки метода децентрализованного полёта БПЛА. Предполагается, что перенос принципов сезонного перелёта птиц позволит построить метод роевого движения, при котором рой БПЛА сможет сохранять согласованность, изменять направление движения и реагировать на внешние воздействия без постоянного лидера. Ключевые слова: БПЛА, децентрализованное управление, коллективный полёт птиц, сезонный перелёт, стая, локальное взаимодействие, временный источник изменения движения, скорость движения, вектор направления.","url":"https://doi.org/10.18720/spbpu/3/2026/vr/vr26-3460","authors":["Ромашко, Никита Владиславович"],"tags":["БПЛА","децентрализованное управление","коллективный полёт птиц","сезонный перелёт","стая","локальное взаимодействие","временный источник изменения движения","скорость движения"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.18720/spbpu/3/2026/vr/vr26-3460","addedAt":"2026-08-31T06:40:08.031Z","updatedAt":"2026-08-31T06:40:08.031Z"},{"id":"doi:10.5281/zenodo.20267820","name":"V 1.1 Pattern-Based Computing (PBC): A Relaxation-Based Framework for Coordination in Complex Systems","source":"datacite","abstract":"v1.1 — Repaired Pipeline Release This repository contains the reference implementation and fully reproducible computational pipeline supporting the paper: “Pattern-Based Computing (PBC): A Relaxation-Based Framework for Coordination in Complex Systems” Pattern-Based Computing (PBC) is a relaxation-based computational framework for coordinating continuous, distributed, and perturbation-sensitive systems. It is not proposed as a replacement for classical computation, but as a complementary approach for domains where robustness, stability, and adaptive coordination are more important than producing a single symbolic output. Instead of computing explicit actions or optimized trajectories, PBC modulates the receptivity of a system to active patterns. Computation emerges as the system dynamically relaxes toward stable regimes, while local perturbations can be temporarily isolated through controlled decoherence to prevent cascading failures. The framework is particularly relevant to systems such as traffic networks, power grids, cyber-physical infrastructures, autonomous systems, multi-agent coordination, swarm robotics, and UAV/drone swarms. This repository includes the full source code, experimental scripts, configuration files, and figure-generation pipeline required to reproduce the results reported in the paper. The included traffic-based example demonstrates local perturbations, receptivity-modulated coordination, robustness under rotated simulations, and structural adaptation. This v1.1 release repairs and consolidates the pipeline, adds missing diagnostic figure generation, and ensures that all generated outputs are written consistently to the canonical paper/figures directory. This framework builds on the dynamical insights introduced in “Coordination without language: dynamical limits of sequential communication in collective systems” DOI: https://doi.org/10.5281/zenodo.18134132","url":"https://doi.org/10.5281/zenodo.20267820","authors":["Martínez Sánchez, Francisco Javier"],"tags":["complex systems","pattern-based computing","relaxation dynamics","coordination","distributed systems","robustness","self-organization","hybrid computation"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.20267820","addedAt":"2026-08-31T06:40:08.031Z","updatedAt":"2026-08-31T06:40:08.031Z"},{"id":"doi:10.5281/zenodo.18141696","name":"V 1.1 Pattern-Based Computing (PBC): A Relaxation-Based Framework for Coordination in Complex Systems","source":"datacite","abstract":"v1.1 — Repaired Pipeline Release This repository contains the reference implementation and fully reproducible computational pipeline supporting the paper: “Pattern-Based Computing (PBC): A Relaxation-Based Framework for Coordination in Complex Systems” Pattern-Based Computing (PBC) is a relaxation-based computational framework for coordinating continuous, distributed, and perturbation-sensitive systems. It is not proposed as a replacement for classical computation, but as a complementary approach for domains where robustness, stability, and adaptive coordination are more important than producing a single symbolic output. Instead of computing explicit actions or optimized trajectories, PBC modulates the receptivity of a system to active patterns. Computation emerges as the system dynamically relaxes toward stable regimes, while local perturbations can be temporarily isolated through controlled decoherence to prevent cascading failures. The framework is particularly relevant to systems such as traffic networks, power grids, cyber-physical infrastructures, autonomous systems, multi-agent coordination, swarm robotics, and UAV/drone swarms. This repository includes the full source code, experimental scripts, configuration files, and figure-generation pipeline required to reproduce the results reported in the paper. The included traffic-based example demonstrates local perturbations, receptivity-modulated coordination, robustness under rotated simulations, and structural adaptation. This v1.1 release repairs and consolidates the pipeline, adds missing diagnostic figure generation, and ensures that all generated outputs are written consistently to the canonical paper/figures directory. This framework builds on the dynamical insights introduced in “Coordination without language: dynamical limits of sequential communication in collective systems” DOI: https://doi.org/10.5281/zenodo.18134132","url":"https://doi.org/10.5281/zenodo.18141696","authors":["Martínez Sánchez, Francisco Javier"],"tags":["complex systems","pattern-based computing","relaxation dynamics","coordination","distributed systems","robustness","self-organization","hybrid computation"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.18141696","addedAt":"2026-08-31T06:40:08.031Z","updatedAt":"2026-08-31T06:40:08.031Z"},{"id":"doi:10.5281/zenodo.20618472","name":"GUIRA: A Closed-Loop Aerial Sensing and Physics-Grounded Simulation Framework for Wildfire Anticipation","source":"datacite","abstract":"GUIRA: A Closed-Loop Aerial Sensing and Physics-Grounded Simulation Framework for Wildfire AnticipationAuthor: Santiago Ramirez Anguiano (Independent Researcher) Forest fires in the wildland–urban interface impose an asymmetric burden: detection is fast where watchtowers have line of sight, but slow or impossible in the occluded ravines and valleys where ignitions most often escape. Mexico City protects 88,440 hectares of conservation land with fourteen surveillance towers and roughly 4,500 brigade personnel, achieving a five-minute mean detection time yet a near two-hour mean suppression time—a gap dominated by uncertainty about where a fire is and where it will spread. This paper presents GUIRA (Zapotec, \"protector of the mountains\"), a UAV framework that closes the loop between detection and anticipation. GUIRA couples three subsystems: (i) a physics-based aerial sensing and geometric localization module that fuses multi-view bearing-only triangulation with ray–DEM intersection and an Extended Kalman Filter to geolocate fires with calibrated uncertainty; (ii) an edge-deployed RGB–thermal perception engine, built on a self-supervised DINO-family Vision Transformer backbone, that detects fire through smoke and back-projects it into georeferenced ignition states; and (iii) an NVIDIA PhysX/Flow-accelerated fire-behavior simulator that advances a Rothermel-driven level-set front with GPU plume and ember transport, continuously corrected by an Ensemble Kalman Filter assimilating live detections. The forecast re-tasks the UAV swarm to maximize information gain, making anticipation an emergent property of the loop. We formalize each stage, derive the uncertainty propagation that binds them, and present a deployment design that complements—rather than replaces—Mexico City's existing tower-and-brigade infrastructure, targeting the occluded valleys of Tlalpan and Milpa Alta.","url":"https://doi.org/10.5281/zenodo.20618472","authors":["Ramirez, Santiago"],"tags":["Wildfires","Computer vision"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.20618472","addedAt":"2026-08-31T06:40:08.031Z","updatedAt":"2026-08-31T06:40:08.031Z"},{"id":"doi:10.5281/zenodo.20618473","name":"GUIRA: A Closed-Loop Aerial Sensing and Physics-Grounded Simulation Framework for Wildfire Anticipation","source":"datacite","abstract":"GUIRA: A Closed-Loop Aerial Sensing and Physics-Grounded Simulation Framework for Wildfire AnticipationAuthor: Santiago Ramirez Anguiano (Independent Researcher) Forest fires in the wildland–urban interface impose an asymmetric burden: detection is fast where watchtowers have line of sight, but slow or impossible in the occluded ravines and valleys where ignitions most often escape. Mexico City protects 88,440 hectares of conservation land with fourteen surveillance towers and roughly 4,500 brigade personnel, achieving a five-minute mean detection time yet a near two-hour mean suppression time—a gap dominated by uncertainty about where a fire is and where it will spread. This paper presents GUIRA (Zapotec, \"protector of the mountains\"), a UAV framework that closes the loop between detection and anticipation. GUIRA couples three subsystems: (i) a physics-based aerial sensing and geometric localization module that fuses multi-view bearing-only triangulation with ray–DEM intersection and an Extended Kalman Filter to geolocate fires with calibrated uncertainty; (ii) an edge-deployed RGB–thermal perception engine, built on a self-supervised DINO-family Vision Transformer backbone, that detects fire through smoke and back-projects it into georeferenced ignition states; and (iii) an NVIDIA PhysX/Flow-accelerated fire-behavior simulator that advances a Rothermel-driven level-set front with GPU plume and ember transport, continuously corrected by an Ensemble Kalman Filter assimilating live detections. The forecast re-tasks the UAV swarm to maximize information gain, making anticipation an emergent property of the loop. We formalize each stage, derive the uncertainty propagation that binds them, and present a deployment design that complements—rather than replaces—Mexico City's existing tower-and-brigade infrastructure, targeting the occluded valleys of Tlalpan and Milpa Alta.","url":"https://doi.org/10.5281/zenodo.20618473","authors":["Ramirez, Santiago"],"tags":["Wildfires","Computer vision"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.20618473","addedAt":"2026-08-31T06:40:08.031Z","updatedAt":"2026-08-31T06:40:08.031Z"},{"id":"doi:10.48550/arxiv.2501.05819","name":"Diffusion Models for Smarter UAVs: Decision-Making and Modeling","source":"datacite","abstract":"Uncrewed Aerial Vehicles (UAVs) are increasingly used in modern communication networks. However, challenges in decision-making and digital modeling continue to hinder their rapid development. Reinforcement Learning (RL) algorithms face limitations such as low sample efficiency and limited data versatility, which are further amplified in UAV communications scenarios. Additionally, Digital Twin (DT) modeling presents significant challenges in decision-making and data management. RL models, often integrated into DT frameworks to address these issues, require large amounts of training data to make accurate predictions. Unlike traditional approaches that focus on class boundaries, Diffusion Models (DMs)-a new class of generative AI-learn the underlying probability distribution from training data and can generate reliable new patterns based on this learned distribution. DT and RL have complementary roles in enabling intelligent, data-driven UAV operations. DMs further enhance this synergy by addressing data scarcity, improving modeling accuracy, and generating realistic scenarios, which benefit both DT simulations and RL training. In this paper, we explore the integration of DMs with RL and DT. Simulation results confirm the effectiveness and benefits of DMs in generating neighbor velocity estimates in a four-UAV swarm coordination task using Deep Reinforcement Learning (DRL).","url":"https://doi.org/10.48550/arxiv.2501.05819","authors":["Emami, Yousef","Zhou, Hao","Almeida, Luis","Li, Kai"],"tags":["Machine Learning (cs.LG)","Artificial Intelligence (cs.AI)","FOS: Computer and information sciences"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.48550/arxiv.2501.05819","addedAt":"2026-08-31T06:40:08.031Z","updatedAt":"2026-08-31T06:40:08.031Z"},{"id":"doi:10.48550/arxiv.2608.16955","name":"WONDER: A Radio World Model-based Negotiation Framework for Multi-Agent UAV Coverage Optimization","source":"datacite","abstract":"Post-disaster damage to terrestrial infrastructure can disrupt wireless coverage,while Uncrewed Aerial Vehicle (UAV) swarms provide a promising solution for rapid restoration.However, due to the limitations in local geometry observations hidden radio impact,and inter-UAV communication,there exists a significant gap between locally visible movement choices and swarm-level coverage outcomes.To combat this gap,we propose a raido World-model-based Optimized Negotiation framework for Distributed UAV covERage (WONDER).Particularly, to tackle the unavailability of the future radio field from onboard observations, WONDER uses a Joint-Embedding Predictive Architecture (JEPA)-based radio world model to learn and predict the incremental radio effect of each candidate trajectory from deployment-available information.Multi-round negotiation in WONDER then coordinates ranked proposals by committing one trajectory at a time and re-evaluating the remaining proposals under the updated context. Our theoretical analyses further validate the effectiveness of such a world model-based framework. WONDER also adopts a Proximal Policy Optimization (PPO)-style Actor and alternates between updating the world model and the actor. Furthermore,we build RadioDynamics,a comprehensive simulation environment that integrates UAV mobility,radio propagation, inter-UAV communication modeling,and digital-twin geometry with ray-traced fields in $62$ metropolitan scenes.Experiments on $11$ testing scenes in RadioDynamics show that WONDER achieves the highest balanced score among seven evaluated methods,reaching $0.870$ with a $0.162$ coverage advantage over STACCA, while maintaining $100\\%$ connectivity between UAVs.","url":"https://doi.org/10.48550/arxiv.2608.16955","authors":["Huang, Jiahao","Li, Rongpeng","Zhao, Zhifeng","Ding, Guoru","Zhang, Honggang"],"tags":["Multiagent Systems (cs.MA)","Machine Learning (cs.LG)","FOS: Computer and information sciences"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.48550/arxiv.2608.16955","addedAt":"2026-08-31T06:40:08.031Z","updatedAt":"2026-08-31T06:40:08.031Z"},{"id":"doi:10.5281/zenodo.20544586","name":"bft-uav-swarm-validation-lab","source":"datacite","abstract":"First public release of the validation testbed accompanying the IEEE Access submission \"Byzantine-Fault-Tolerant Hierarchical Navigation for GNSS-Denied UAV Swarms: Architecture, Theoretical Analysis, and Empirical Validation\" (Kalynovskyi, 2026; submitted to IEEE Access). What's archived The complete nine-phase empirical validation campaign for the manuscript's architecture and theoretical analysis. Every numerical claim in §VI and §VII of the manuscript traces to a specific raw-data file in workspaces/, via the explicit map in CODE_TO_CLAIM_MAPPING.md. Validation campaign Phase 1 — Proof-of-Observation FAR/FRR (AUC = 0.9996) Phase 2 — Reputation-driven Byzantine exclusion (30/30 trials, 0 false honest exclusions) Phase 3 — CEP versus relay depth (23 m at 3 hops, empirical δ = 0.088) Phase 4 — Failover timing (p99 = 6.24 s across 1200 measurements) Phase 5 — GNSS-spoof detection (98.3 % detection, 0 false positives, p99 = 0.60 s) Phase 6 — Progressive attrition with admission control (14/15 missions survive) Phase 7 — Single-pillar ablation (4 pillars stress-tested) Phase 8 — Vanilla-Raft baseline + Byzantine adversarial measurement Phase 9 — Proof-of-Observation same-region forgery resistance (pre-registered) Stack pin ROS 2 Jazzy · Gazebo Harmonic · PX4-Autopilot (SITL) · GTSAM 4.2 · Python 3.12 · CUDA ≥12.4. Reproduction docker pull ghcr.io/ok-research/bft-uav-hierarchical-navigation:gpu git clone https://github.com/ok-research/bft-uav-hierarchical-navigation.git cd bft-uav-hierarchical-navigation bash scripts/phase{N}-campaign.sh # N in 1..9 Per-phase reproducibility documents with Docker image digest, git commit at sweep start, and sweep-parameter manifest are at docs/results/phase-{1..9}.md. Companion repository Abstract Monte Carlo simulators for §§VIII–X of the manuscript: github.com/ok-research/bft-uav-swarm-validation (tag v1.2). License MIT. See LICENSE.","url":"https://doi.org/10.5281/zenodo.20544586","authors":["Kalynovskyi, Oleksandr"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.20544586","addedAt":"2026-08-31T06:40:08.031Z","updatedAt":"2026-08-31T06:40:08.031Z"},{"id":"doi:10.5281/zenodo.20544587","name":"bft-uav-swarm-validation-lab","source":"datacite","abstract":"First public release of the validation testbed accompanying the IEEE Access submission \"Byzantine-Fault-Tolerant Hierarchical Navigation for GNSS-Denied UAV Swarms: Architecture, Theoretical Analysis, and Empirical Validation\" (Kalynovskyi, 2026; submitted to IEEE Access). What's archived The complete nine-phase empirical validation campaign for the manuscript's architecture and theoretical analysis. Every numerical claim in §VI and §VII of the manuscript traces to a specific raw-data file in workspaces/, via the explicit map in CODE_TO_CLAIM_MAPPING.md. Validation campaign Phase 1 — Proof-of-Observation FAR/FRR (AUC = 0.9996) Phase 2 — Reputation-driven Byzantine exclusion (30/30 trials, 0 false honest exclusions) Phase 3 — CEP versus relay depth (23 m at 3 hops, empirical δ = 0.088) Phase 4 — Failover timing (p99 = 6.24 s across 1200 measurements) Phase 5 — GNSS-spoof detection (98.3 % detection, 0 false positives, p99 = 0.60 s) Phase 6 — Progressive attrition with admission control (14/15 missions survive) Phase 7 — Single-pillar ablation (4 pillars stress-tested) Phase 8 — Vanilla-Raft baseline + Byzantine adversarial measurement Phase 9 — Proof-of-Observation same-region forgery resistance (pre-registered) Stack pin ROS 2 Jazzy · Gazebo Harmonic · PX4-Autopilot (SITL) · GTSAM 4.2 · Python 3.12 · CUDA ≥12.4. Reproduction docker pull ghcr.io/ok-research/bft-uav-hierarchical-navigation:gpu git clone https://github.com/ok-research/bft-uav-hierarchical-navigation.git cd bft-uav-hierarchical-navigation bash scripts/phase{N}-campaign.sh # N in 1..9 Per-phase reproducibility documents with Docker image digest, git commit at sweep start, and sweep-parameter manifest are at docs/results/phase-{1..9}.md. Companion repository Abstract Monte Carlo simulators for §§VIII–X of the manuscript: github.com/ok-research/bft-uav-swarm-validation (tag v1.2). License MIT. See LICENSE.","url":"https://doi.org/10.5281/zenodo.20544587","authors":["Kalynovskyi, Oleksandr"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.20544587","addedAt":"2026-08-31T06:40:08.031Z","updatedAt":"2026-08-31T06:40:08.031Z"},{"id":"doi:10.5281/zenodo.20738893","name":"İNSANSIZ HAVA ARACI SALDIRI SİSTEMLERİ   KAPSAMLI BİR OSINT ANALİZİ","source":"datacite","abstract":"Günümüz uluslararası güvenlik ortamı, geleneksel simetrik savaşın yanı sıra hibrit tehditler, vekâlet savaşları ve asimetrik mücadele biçimlerinin hızla yaygınlaştığı bir dönüşüm sürecinden geçmektedir. Bu dönüşümün en dikkat çekici unsurlarından biri, insansız hava araçlarının (İHA) muharebe sahasındaki rolünün, keşif ve gözetlemeden doğrudan taarruz ve sürü harbine doğru evrilmesidir. Artık yalnızca büyük devlet ordularının tekelinde olmayan bu teknoloji, terör örgütlerinden bölgesel aktörlere kadar geniş bir yelpazede etkin bir silah hâline gelmiştir. Bu durum, savunma planlamacılarını, stratejistleri ve karar alıcıları, mevcut hava savunma paradigmalarını kökten sorgulamaya zorlamaktadır. Elinizdeki bu OSINT (Açık Kaynak İstihbaratı) analizi, insansız hava aracı saldırı sistemlerini; teknolojik, taktik, operasyonel, ekonomik, hukuki ve doktrinsel boyutlarıyla bütüncül bir perspektiften ele almayı amaçlamaktadır. Çalışma, başta Rusça akademik ve askerî kaynaklar olmak üzere, uluslararası savunma yayınları, teknik raporlar, resmî dokümanlar, simülasyon çalışmaları ve saha gözlemlerinden derlenen verilere dayanmaktadır. Amacımız, okuyucuya yalnızca teknik özellikleri sıralamak değil, aynı zamanda bu sistemlerin savaşın doğasını nasıl dönüştürdüğünü, mevcut hava savunma sistemleri karşısındaki üstünlüklerini ve zafiyetlerini, sürü taktiklerinin yarattığı stratejik tehditleri ve geleceğe yönelik savunma ihtiyaçlarını derinlemesine aktarmaktır. Belge, giriş bölümünün ardından sırasıyla sınıflandırma ve teknik özellikleri, operasyonel prensipleri, hedef tespit ve imha süreçlerini, mevcut hava savunma sistemlerinin etkinlik analizini, mücadele yöntemlerini, sürü taktiklerini, vaka çalışmalarını, ekonomik ve lojistik boyutları, hukuki/etik/siyasi yönleri ve gelecek öngörülerini kapsamaktadır. Her bölüm, matematiksel modeller, karşılaştırmalı tablolar ve simülasyon sonuçlarıyla zenginleştirilmiştir. Analizin hazırlanmasında, mümkün olduğunca güncel ve güvenilir kaynaklar kullanılmış; ancak savunma teknolojileri alanındaki hızlı gelişmeler nedeniyle bazı verilerin zamanla güncelliğini yitirebileceği göz önünde bulundurulmalıdır. Okuyucuların, bu çalışmayı bir referans ve başlangıç noktası olarak kullanarak, kendi araştırmalarıyla derinleştirmeleri tavsiye olunur.","url":"https://doi.org/10.5281/zenodo.20738893","authors":["Tan, Mazlum Kani"],"tags":["UAV","İHA","OSİNT","SWARM","HAVA SAVUNMA","İMHA"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.20738893","addedAt":"2026-08-31T06:40:08.031Z","updatedAt":"2026-08-31T06:40:08.031Z"},{"id":"doi:10.5281/zenodo.20738894","name":"İNSANSIZ HAVA ARACI SALDIRI SİSTEMLERİ   KAPSAMLI BİR OSINT ANALİZİ","source":"datacite","abstract":"Günümüz uluslararası güvenlik ortamı, geleneksel simetrik savaşın yanı sıra hibrit tehditler, vekâlet savaşları ve asimetrik mücadele biçimlerinin hızla yaygınlaştığı bir dönüşüm sürecinden geçmektedir. Bu dönüşümün en dikkat çekici unsurlarından biri, insansız hava araçlarının (İHA) muharebe sahasındaki rolünün, keşif ve gözetlemeden doğrudan taarruz ve sürü harbine doğru evrilmesidir. Artık yalnızca büyük devlet ordularının tekelinde olmayan bu teknoloji, terör örgütlerinden bölgesel aktörlere kadar geniş bir yelpazede etkin bir silah hâline gelmiştir. Bu durum, savunma planlamacılarını, stratejistleri ve karar alıcıları, mevcut hava savunma paradigmalarını kökten sorgulamaya zorlamaktadır. Elinizdeki bu OSINT (Açık Kaynak İstihbaratı) analizi, insansız hava aracı saldırı sistemlerini; teknolojik, taktik, operasyonel, ekonomik, hukuki ve doktrinsel boyutlarıyla bütüncül bir perspektiften ele almayı amaçlamaktadır. Çalışma, başta Rusça akademik ve askerî kaynaklar olmak üzere, uluslararası savunma yayınları, teknik raporlar, resmî dokümanlar, simülasyon çalışmaları ve saha gözlemlerinden derlenen verilere dayanmaktadır. Amacımız, okuyucuya yalnızca teknik özellikleri sıralamak değil, aynı zamanda bu sistemlerin savaşın doğasını nasıl dönüştürdüğünü, mevcut hava savunma sistemleri karşısındaki üstünlüklerini ve zafiyetlerini, sürü taktiklerinin yarattığı stratejik tehditleri ve geleceğe yönelik savunma ihtiyaçlarını derinlemesine aktarmaktır. Belge, giriş bölümünün ardından sırasıyla sınıflandırma ve teknik özellikleri, operasyonel prensipleri, hedef tespit ve imha süreçlerini, mevcut hava savunma sistemlerinin etkinlik analizini, mücadele yöntemlerini, sürü taktiklerini, vaka çalışmalarını, ekonomik ve lojistik boyutları, hukuki/etik/siyasi yönleri ve gelecek öngörülerini kapsamaktadır. Her bölüm, matematiksel modeller, karşılaştırmalı tablolar ve simülasyon sonuçlarıyla zenginleştirilmiştir. Analizin hazırlanmasında, mümkün olduğunca güncel ve güvenilir kaynaklar kullanılmış; ancak savunma teknolojileri alanındaki hızlı gelişmeler nedeniyle bazı verilerin zamanla güncelliğini yitirebileceği göz önünde bulundurulmalıdır. Okuyucuların, bu çalışmayı bir referans ve başlangıç noktası olarak kullanarak, kendi araştırmalarıyla derinleştirmeleri tavsiye olunur.","url":"https://doi.org/10.5281/zenodo.20738894","authors":["Tan, Mazlum Kani"],"tags":["UAV","İHA","OSİNT","SWARM","HAVA SAVUNMA","İMHA"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.20738894","addedAt":"2026-08-31T06:40:08.031Z","updatedAt":"2026-08-31T06:40:08.031Z"},{"id":"doi:10.48550/arxiv.2608.14306","name":"Sensor-Driven Mission Synthesis for UAV/UGV Swarms: A TB-CSPN Coordination Architecture with Hardware-Enforced Safety","source":"datacite","abstract":"This paper presents a coordination architecture for heterogeneous UAV/UGV swarms that synthesises mission actions from uncertain, multi-modal sensor evidence while preserving hardware-enforced safety at the actuation boundary. The approach combines radar, RF, acoustic, and visual observations with Topic-Based Communication Space Petri Net (TB-CSPN) orchestration to support incremental mission formation under partial and evolving information. Consultant agents transform sensor outputs into temporally bounded semantic tokens, while supervisor agents provide authorisation and policy-governed release of mission transitions. This separation between interpretation, coordination, and execution yields auditable decision paths, constrains non-determinism within the coordination layer through guards and synchronisation, and enables bounded-time integration of heterogeneous evidence. To improve resilience in contested environments, including cyber compromise, spoofing, jamming, and communication loss, the digital coordination layer is complemented by independent analogue safety envelopes that clamp or veto unsafe actuator commands issued to individual vehicles. A coastal-surveillance case study illustrates how the proposed architecture enables dependable, governed, and physically safe swarm coordination under operational uncertainty.","url":"https://doi.org/10.48550/arxiv.2608.14306","authors":["Borghoff, Uwe M.","Bottoni, Paolo","Pareschi, Remo"],"tags":["Artificial Intelligence (cs.AI)","Systems and Control (eess.SY)","FOS: Computer and information sciences","FOS: Electrical engineering, electronic engineering, information engineering"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.48550/arxiv.2608.14306","addedAt":"2026-08-31T06:40:08.031Z","updatedAt":"2026-08-31T06:40:08.031Z"},{"id":"doi:10.5281/zenodo.20768967","name":"PINN-CMA","source":"datacite","abstract":"It models a 12-UAV BeiDou-dependent swarm in an urban environment, synthetic spoofing attacks, inter-UAV range consistency, modular spoofing detectors, ablation experiments, baselines, and mission-level mitigation metrics. Safety Scope This is a sandboxed defensive research simulator only. It generates synthetic BeiDou/GNSS observables and synthetic spoofing labels inside software. It does not implement RF transmission, SDR control, hardware radio output, live GNSS spoofing, or operational instructions for interfering with real navigation systems. Architecture `cpp_core/`: C++17 simulator core for UAV dynamics, synthetic BeiDou observables, IMU propagation, inter-UAV ranging, urban multipath/occlusion approximation, spoof injection, communication graph features, and CSV output.- `python/orchestrator/`: scenario loading, C++ adapter, Python reference core, deterministic Monte Carlo execution, logging, and resilient swarm-control postprocessing.- `python/detectors/`: interchangeable detector wrappers.- `python/models/`: PyTorch PINN-CMA and one-hop GNN prototype definitions.- `python/metrics/`: detection and mission metrics.- `python/plotting/`: required figure generation, with a Pillow fallback when matplotlib/seaborn are unavailable.- `python/configs/`: YAML scenario templates and ablation definitions.- `tests/`: unit tests for signal generation, spoofing, Kalman residuals, metrics, and ablation selection. The Python adapter attempts this order:1. Import a future `beidou_sim_core` pybind11 extension.2. Run the compiled C++ CLI from `cpp_core/build`.3. Fall back to the deterministic Python reference simulator. Detector Configurations The ablation runner supports:- `kalman_only`: Kalman innovation residual detector.- `pinn_cma_only`: PINN-CMA wrapper.- `kalman_pinn`: Kalman + PINN-CMA.- `kalman_pinn_gnn`: Kalman + PINN-CMA + GNN.- `full_no_rag`: Kalman + PINN-CMA + GNN + trust consensus.- `full_rag`: full proposed model with the RAG-SLM adapter. Baseline interfaces are included for:- `deeppose`: DeepPOSE-like CNN/RNN fusion approximation.- `ctdnn`: CTDNN-like compact CNN/RNN approximation.- `consensus_apf`: Consensus + Artificial Potential Field approximation. The RAG-SLM adapter is intentionally lightweight by default. It tokenizes each 1-second window into bins for pseudorange residual, carrier-phase drift, C/N0 variation, IMU acceleration change, gyro-rate change, and inter-UAV range error.It only runs on borderline cases and can later be replaced by Mixtral 8x7BInstruct or another edge-assisted model. Build C++ CoreFrom the repository root: powershellcmake -S cpp_core -B cpp_core/buildcmake --build cpp_core/build --config Release Eigen is used automatically when available. The C++ source also has a small internal vector fallback so the simulator remains buildable in minimal environments. Example standalone C++ run: powershell.\\cpp_core\\build\\Release\\beidou_sim_core_cli.exe ` --scenario static_spoofing ` --attacker static ` --duration 60 ` --onset 30 ` --seed 1001 ` --output results\\traces\\cpp_static_seed1001.csv Python Setup The core smoke path needs only NumPy and pandas. Optional packages improve plotting/model work: powershell python -m pip install -r requirements.txt Run 30-Trial Ablation Experiments Generated files will include:- `results/summary_metrics.csv`- `results/ablation_metrics.csv`- `results/baseline_comparison.csv`- `results/per_run_metrics.csv`- `results/traces/*.csv`- `results/figures/accuracy_by_scenario.png`- `results/figures/auc_comparison.png`- `results/figures/false_alarm_rate.png`- `results/figures/latency_breakdown.png`- `results/figures/localization_error.png`- `results/figures/collision_count.png`- `results/figures/spoof_confidence_evolution.png`- `results/figures/mission_success_rate.png` Tests The test suite covers:- Synthetic signal generation under static spoofing.- Spoofing bias injection and ramp behavior.- Kalman residual score separation.- Metric computation.- Ablation configuration selectio","url":"https://doi.org/10.5281/zenodo.20768967","authors":["Tariq, Usman"],"tags":["BeiDou Spoofing Detection","Physics-Informed Deep Learning"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.20768967","addedAt":"2026-08-31T06:40:08.031Z","updatedAt":"2026-08-31T06:40:08.031Z"},{"id":"doi:10.5281/zenodo.20768968","name":"PINN-CMA","source":"datacite","abstract":"It models a 12-UAV BeiDou-dependent swarm in an urban environment, synthetic spoofing attacks, inter-UAV range consistency, modular spoofing detectors, ablation experiments, baselines, and mission-level mitigation metrics. Safety Scope This is a sandboxed defensive research simulator only. It generates synthetic BeiDou/GNSS observables and synthetic spoofing labels inside software. It does not implement RF transmission, SDR control, hardware radio output, live GNSS spoofing, or operational instructions for interfering with real navigation systems. Architecture `cpp_core/`: C++17 simulator core for UAV dynamics, synthetic BeiDou observables, IMU propagation, inter-UAV ranging, urban multipath/occlusion approximation, spoof injection, communication graph features, and CSV output.- `python/orchestrator/`: scenario loading, C++ adapter, Python reference core, deterministic Monte Carlo execution, logging, and resilient swarm-control postprocessing.- `python/detectors/`: interchangeable detector wrappers.- `python/models/`: PyTorch PINN-CMA and one-hop GNN prototype definitions.- `python/metrics/`: detection and mission metrics.- `python/plotting/`: required figure generation, with a Pillow fallback when matplotlib/seaborn are unavailable.- `python/configs/`: YAML scenario templates and ablation definitions.- `tests/`: unit tests for signal generation, spoofing, Kalman residuals, metrics, and ablation selection. The Python adapter attempts this order:1. Import a future `beidou_sim_core` pybind11 extension.2. Run the compiled C++ CLI from `cpp_core/build`.3. Fall back to the deterministic Python reference simulator. Detector Configurations The ablation runner supports:- `kalman_only`: Kalman innovation residual detector.- `pinn_cma_only`: PINN-CMA wrapper.- `kalman_pinn`: Kalman + PINN-CMA.- `kalman_pinn_gnn`: Kalman + PINN-CMA + GNN.- `full_no_rag`: Kalman + PINN-CMA + GNN + trust consensus.- `full_rag`: full proposed model with the RAG-SLM adapter. Baseline interfaces are included for:- `deeppose`: DeepPOSE-like CNN/RNN fusion approximation.- `ctdnn`: CTDNN-like compact CNN/RNN approximation.- `consensus_apf`: Consensus + Artificial Potential Field approximation. The RAG-SLM adapter is intentionally lightweight by default. It tokenizes each 1-second window into bins for pseudorange residual, carrier-phase drift, C/N0 variation, IMU acceleration change, gyro-rate change, and inter-UAV range error.It only runs on borderline cases and can later be replaced by Mixtral 8x7BInstruct or another edge-assisted model. Build C++ CoreFrom the repository root: powershellcmake -S cpp_core -B cpp_core/buildcmake --build cpp_core/build --config Release Eigen is used automatically when available. The C++ source also has a small internal vector fallback so the simulator remains buildable in minimal environments. Example standalone C++ run: powershell.\\cpp_core\\build\\Release\\beidou_sim_core_cli.exe ` --scenario static_spoofing ` --attacker static ` --duration 60 ` --onset 30 ` --seed 1001 ` --output results\\traces\\cpp_static_seed1001.csv Python Setup The core smoke path needs only NumPy and pandas. Optional packages improve plotting/model work: powershell python -m pip install -r requirements.txt Run 30-Trial Ablation Experiments Generated files will include:- `results/summary_metrics.csv`- `results/ablation_metrics.csv`- `results/baseline_comparison.csv`- `results/per_run_metrics.csv`- `results/traces/*.csv`- `results/figures/accuracy_by_scenario.png`- `results/figures/auc_comparison.png`- `results/figures/false_alarm_rate.png`- `results/figures/latency_breakdown.png`- `results/figures/localization_error.png`- `results/figures/collision_count.png`- `results/figures/spoof_confidence_evolution.png`- `results/figures/mission_success_rate.png` Tests The test suite covers:- Synthetic signal generation under static spoofing.- Spoofing bias injection and ramp behavior.- Kalman residual score separation.- Metric computation.- Ablation configuration selectio","url":"https://doi.org/10.5281/zenodo.20768968","authors":["Tariq, Usman"],"tags":["BeiDou Spoofing Detection","Physics-Informed Deep Learning"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.20768968","addedAt":"2026-08-31T06:40:08.031Z","updatedAt":"2026-08-31T06:40:08.031Z"},{"id":"doi:10.5281/zenodo.20036382","name":"Biomimetic Aerospace Design Models Based on Apis mellifera Morphological Structures","source":"datacite","abstract":"This dataset presents a set of biomimetic aerospace design models inspired by the morphological structures of Apis mellifera (honey bee). The materials include four technical schematic models developed based on microscopic morphological analysis: (1) a wing-based solar panel structure, (2) its integration into a micro-satellite system, (3) a compound-eye-inspired multi-sensor observation module, and (4) a leg-based adaptive landing and gripping mechanism. The models are constructed following biomimetic principles and further interpreted through artificial intelligence-based optimization approaches for potential application in aerospace systems. The dataset provides conceptual engineering blueprints intended for use in research on bio-inspired design, UAV systems, satellite architecture, and intelligent sensing technologies. All models were developed by the authors as part of an ongoing research study and are intended as supplementary technical material supporting scientific publication.","url":"https://doi.org/10.5281/zenodo.20036382","authors":["Qadimli, Nushaba","Mammadov, Ulvi"],"tags":["Biomimetics","Apis mellifera","aerospace engineering","UAV design","satellite systems","artificial intelligence","swarm intelligence","adaptive systems"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.20036382","addedAt":"2026-08-31T06:40:08.031Z","updatedAt":"2026-08-31T06:40:08.031Z"},{"id":"doi:10.5281/zenodo.20036383","name":"Biomimetic Aerospace Design Models Based on Apis mellifera Morphological Structures","source":"datacite","abstract":"This dataset presents a set of biomimetic aerospace design models inspired by the morphological structures of Apis mellifera (honey bee). The materials include four technical schematic models developed based on microscopic morphological analysis: (1) a wing-based solar panel structure, (2) its integration into a micro-satellite system, (3) a compound-eye-inspired multi-sensor observation module, and (4) a leg-based adaptive landing and gripping mechanism. The models are constructed following biomimetic principles and further interpreted through artificial intelligence-based optimization approaches for potential application in aerospace systems. The dataset provides conceptual engineering blueprints intended for use in research on bio-inspired design, UAV systems, satellite architecture, and intelligent sensing technologies. All models were developed by the authors as part of an ongoing research study and are intended as supplementary technical material supporting scientific publication.","url":"https://doi.org/10.5281/zenodo.20036383","authors":["Qadimli, Nushaba","Mammadov, Ulvi"],"tags":["Biomimetics","Apis mellifera","aerospace engineering","UAV design","satellite systems","artificial intelligence","swarm intelligence","adaptive systems"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.20036383","addedAt":"2026-08-31T06:40:08.031Z","updatedAt":"2026-08-31T06:40:08.031Z"},{"id":"doi:10.5281/zenodo.20363514","name":"Guns","source":"datacite","abstract":"You can think of the combined system as a bottom‑heavy smart rifle platform with a Psyrail “intelligent barrel/rail core” running everything: firing, guidance, recoil control, and biometrics. The Psyrail document already contains almost all of the electronics, sensing, and logic you need; your chassis/drum/keel concept is the physical host for it. Below is a merged view of how it fits together and what it actually does. 1. Mechanical platform + Psyrail core Chassis / balance A carbon‑composite receiver and handguard carry the barrel and Psyrail attachment, with dense material concentrated low (magwell block, under‑handguard keel, buttstock weight) so the center of gravity sits noticeably below the bore and near the front of the magwell. This bottom‑weighting complements Psyrail’s recoil and vibration control: when the barrel and rail are actively damping whip and recoil, the “keel‑down” CG resists roll and helps the gun settle in line instead of corkscrewing. Magnetic drum A low, central drum under the receiver feeds into a short tower that locks into the magwell. Internally it can act as a magnetic conditioning carousel, pre‑magnetizing soft‑magnetic projectiles as they pass a field region and using magnetic attraction to help retain cartridges in each station, which matches how Psyrail later expects magnetized projectiles if you ever pair it with EM muzzle devices or advanced sensing. Recoil keel‑clip Under the handguard and magwell, a clip‑on keel module adds dense mass and can carry extra MEMS sensors and piezo actuators. Psyrail already defines a recoil‑cancellation piezo array controlled by the main MCU to generate counter‑vibrations in the gun’s chassis; in your design that array can live in (or be extended into) this keel‑clip, letting it act as both ballast and an active damper. So mechanically, your rifle is the host body that gives Psyrail a very favorable mass layout to work with: lots of mass low and central, plenty of structure to mount transducers, sensors and piezos, and a drum that doubles as ballast. 2. Psyrail electronics and safety backbone All of the “brains” sit in the Psyrail module and a few satellite boards embedded in the chassis. Directional enforcement and firing A Schottky diode module sits between the MCU’s fire‑command output and the firing actuator, enforcing one‑way current flow (so nothing can back‑drive the trigger or rail) and providing surge protection. This is the core electrical safety barrier: even if software misbehaves, reverse or unintended currents into the trigger line are blocked. Controller and sensors The controller stack is compact but dense in capability: A microcontroller (STM32F7/ESP32‑S3 class, ~hundreds of MHz) with onboard ADCs reads all the sensors and generates control waveforms. A 9‑DoF IMU provides orientation data in real time. Multiple ultrasonic transducers mounted along the barrel generate a directed acoustic field used both for sensing and for actively shaping barrel vibration. Vibration/acceleration sensors (MEMS accelerometers) measure barrel whip and recoil response. A 0–3 bar pressure transducer at the breech or interface region measures chamber/barrel pressure and gates firing logic. Power is supplied from a compact rechargeable pack with local regulation and generous decoupling, sized to run the MCU, sensors, ultrasonic array, and piezo actuators with short bursts at each shot. 3. Control logic: pressure‑gated, state‑based weapon brain The Psyrail architecture is built around a firmware finite‑state machine (FSM) driven by the pressure sensor, trigger input, and internal health checks. At its core: IDLE – system powered but passive, monitoring sensors. STANDBY – conditions good, pressure nominal, ready to fire. FIRING – a valid trigger event plus a proper pressure rise authorizes a shot; acoustic and recoil shaping routines run. VELOCITY‑MODE (optional) – under a specific high‑pressure signature during firing, the system reshapes its acoustic output to act a","url":"https://doi.org/10.5281/zenodo.20363514","authors":["francis, lee"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.20363514","addedAt":"2026-08-31T06:40:08.031Z","updatedAt":"2026-08-31T06:40:08.031Z"},{"id":"doi:10.5281/zenodo.20834972","name":"Guns","source":"datacite","abstract":"You can think of the combined system as a bottom‑heavy smart rifle platform with a Psyrail “intelligent barrel/rail core” running everything: firing, guidance, recoil control, and biometrics. The Psyrail document already contains almost all of the electronics, sensing, and logic you need; your chassis/drum/keel concept is the physical host for it. Below is a merged view of how it fits together and what it actually does. 1. Mechanical platform + Psyrail core Chassis / balance A carbon‑composite receiver and handguard carry the barrel and Psyrail attachment, with dense material concentrated low (magwell block, under‑handguard keel, buttstock weight) so the center of gravity sits noticeably below the bore and near the front of the magwell. This bottom‑weighting complements Psyrail’s recoil and vibration control: when the barrel and rail are actively damping whip and recoil, the “keel‑down” CG resists roll and helps the gun settle in line instead of corkscrewing. Magnetic drum A low, central drum under the receiver feeds into a short tower that locks into the magwell. Internally it can act as a magnetic conditioning carousel, pre‑magnetizing soft‑magnetic projectiles as they pass a field region and using magnetic attraction to help retain cartridges in each station, which matches how Psyrail later expects magnetized projectiles if you ever pair it with EM muzzle devices or advanced sensing. Recoil keel‑clip Under the handguard and magwell, a clip‑on keel module adds dense mass and can carry extra MEMS sensors and piezo actuators. Psyrail already defines a recoil‑cancellation piezo array controlled by the main MCU to generate counter‑vibrations in the gun’s chassis; in your design that array can live in (or be extended into) this keel‑clip, letting it act as both ballast and an active damper. So mechanically, your rifle is the host body that gives Psyrail a very favorable mass layout to work with: lots of mass low and central, plenty of structure to mount transducers, sensors and piezos, and a drum that doubles as ballast. 2. Psyrail electronics and safety backbone All of the “brains” sit in the Psyrail module and a few satellite boards embedded in the chassis. Directional enforcement and firing A Schottky diode module sits between the MCU’s fire‑command output and the firing actuator, enforcing one‑way current flow (so nothing can back‑drive the trigger or rail) and providing surge protection. This is the core electrical safety barrier: even if software misbehaves, reverse or unintended currents into the trigger line are blocked. Controller and sensors The controller stack is compact but dense in capability: A microcontroller (STM32F7/ESP32‑S3 class, ~hundreds of MHz) with onboard ADCs reads all the sensors and generates control waveforms. A 9‑DoF IMU provides orientation data in real time. Multiple ultrasonic transducers mounted along the barrel generate a directed acoustic field used both for sensing and for actively shaping barrel vibration. Vibration/acceleration sensors (MEMS accelerometers) measure barrel whip and recoil response. A 0–3 bar pressure transducer at the breech or interface region measures chamber/barrel pressure and gates firing logic. Power is supplied from a compact rechargeable pack with local regulation and generous decoupling, sized to run the MCU, sensors, ultrasonic array, and piezo actuators with short bursts at each shot. 3. Control logic: pressure‑gated, state‑based weapon brain The Psyrail architecture is built around a firmware finite‑state machine (FSM) driven by the pressure sensor, trigger input, and internal health checks. At its core: IDLE – system powered but passive, monitoring sensors. STANDBY – conditions good, pressure nominal, ready to fire. FIRING – a valid trigger event plus a proper pressure rise authorizes a shot; acoustic and recoil shaping routines run. VELOCITY‑MODE (optional) – under a specific high‑pressure signature during firing, the system reshapes its acoustic output to act a","url":"https://doi.org/10.5281/zenodo.20834972","authors":["francis, lee"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.20834972","addedAt":"2026-08-31T06:40:08.031Z","updatedAt":"2026-08-31T06:40:08.031Z"},{"id":"doi:10.5281/zenodo.19699846","name":"PCT/IB2025/057756 - Adaptive Infrasonic Defense System for Infrastructure Protection and Threat Neutralization (Infrastich)","source":"datacite","abstract":"10.5281/zenodo.19699847 CFT-MANUAL-XX — Adaptive Infrasonic Defense System for Infrastructure Protection and Threat Neutralization (Infrastich) This work is part of the Coherent Field Theory (CFT) framework developed by Sergey Dzhumaev. CFT is a unified mathematical and systems framework for modeling decision-making, coherence, and stability in distributed intelligent systems. It extends classical probabilistic approaches by introducing coherence fields, adaptive control, and multi-layer integration across physical, informational, and distributed system domains. Core documents: CFT Foundations: https://doi.org/10.5281/zenodo.19678512 Ariadne’s Thread: https://doi.org/10.5281/zenodo.19670642 NonsenseShield: https://doi.org/10.5281/zenodo.19679037 Document Series: CFT-MANUAL This publication contributes to the following layers of the framework:infrastructure protection / infrasonic defense / adaptive signal processing / swarm-enabled sensing / non-lethal neutralization This work presents an adaptive infrasonic defense system operating in the 1–100 Hz range for the protection of critical infrastructure against airborne, ground-based, and electromagnetic threats. The system integrates a hexagonal phased-array antenna with adaptive beamforming, real-time FFT signal processing, and machine learning–assisted classification to detect, map, and respond to infrasonic anomalies in complex environments. Core operational modes include: passive monitoring of infrasonic signatures (0.5–50 Hz) from drones, vehicles, and subsurface activity, active frequency sweeps (2–20 Hz) for real-time 3D mapping of threats with spatial resolution up to ±1 meter, targeted non-lethal neutralization via resonant frequencies (e.g., 88 Hz) for disruption of electronic systems such as UAV gyroscopes, energy saturation protocols using multi-frequency bursts for temporary disorientation of hostile devices. The system architecture further incorporates: GNSS and satellite synchronization (GPS/GLONASS/Inmarsat) for coordinated deployment and timing accuracy, EMI-hardened design for operation in radio-frequency–contested environments, energy-efficient operation (1–10 W) with optional harvesting modules, scalable configurations ranging from portable units to fixed installations and swarm-based UAV deployments. Compared to conventional radar and RF-based countermeasures, the system provides superior penetration through dense media (concrete, foliage, soil), low detectability, reduced energy consumption, and significantly lower cost, enabling widespread deployment for civil defense, disaster response, and infrastructure protection. This work extends and complements prior infrasonic system developments, forming part of a broader technological stack that includes environmental monitoring, geosurvey, communication systems, and plasma-enhanced propagation within the CFT ecosystem. All works are interconnected and form a single research system. Author:Sergey Dzhumaev (ORCID: https://orcid.org/0009-0004-1979-3730) #hashtags#CoherentFieldTheory #InfrasonicDefense #InfrastructureProtection #SwarmSystems #SignalProcessing #AdaptiveSystems #NonLethalTechnology #Geolocation #AIControl #DistributedSystems #ExtremeEnvironments","url":"https://doi.org/10.5281/zenodo.19699846","authors":["Dzhumaev, Sergey"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.19699846","addedAt":"2026-08-31T06:40:08.031Z","updatedAt":"2026-08-31T06:40:08.031Z"},{"id":"doi:10.5281/zenodo.19699847","name":"PCT/IB2025/057756 - Adaptive Infrasonic Defense System for Infrastructure Protection and Threat Neutralization (Infrastich)","source":"datacite","abstract":"10.5281/zenodo.19699847 CFT-MANUAL-XX — Adaptive Infrasonic Defense System for Infrastructure Protection and Threat Neutralization (Infrastich) This work is part of the Coherent Field Theory (CFT) framework developed by Sergey Dzhumaev. CFT is a unified mathematical and systems framework for modeling decision-making, coherence, and stability in distributed intelligent systems. It extends classical probabilistic approaches by introducing coherence fields, adaptive control, and multi-layer integration across physical, informational, and distributed system domains. Core documents: CFT Foundations: https://doi.org/10.5281/zenodo.19678512 Ariadne’s Thread: https://doi.org/10.5281/zenodo.19670642 NonsenseShield: https://doi.org/10.5281/zenodo.19679037 Document Series: CFT-MANUAL This publication contributes to the following layers of the framework:infrastructure protection / infrasonic defense / adaptive signal processing / swarm-enabled sensing / non-lethal neutralization This work presents an adaptive infrasonic defense system operating in the 1–100 Hz range for the protection of critical infrastructure against airborne, ground-based, and electromagnetic threats. The system integrates a hexagonal phased-array antenna with adaptive beamforming, real-time FFT signal processing, and machine learning–assisted classification to detect, map, and respond to infrasonic anomalies in complex environments. Core operational modes include: passive monitoring of infrasonic signatures (0.5–50 Hz) from drones, vehicles, and subsurface activity, active frequency sweeps (2–20 Hz) for real-time 3D mapping of threats with spatial resolution up to ±1 meter, targeted non-lethal neutralization via resonant frequencies (e.g., 88 Hz) for disruption of electronic systems such as UAV gyroscopes, energy saturation protocols using multi-frequency bursts for temporary disorientation of hostile devices. The system architecture further incorporates: GNSS and satellite synchronization (GPS/GLONASS/Inmarsat) for coordinated deployment and timing accuracy, EMI-hardened design for operation in radio-frequency–contested environments, energy-efficient operation (1–10 W) with optional harvesting modules, scalable configurations ranging from portable units to fixed installations and swarm-based UAV deployments. Compared to conventional radar and RF-based countermeasures, the system provides superior penetration through dense media (concrete, foliage, soil), low detectability, reduced energy consumption, and significantly lower cost, enabling widespread deployment for civil defense, disaster response, and infrastructure protection. This work extends and complements prior infrasonic system developments, forming part of a broader technological stack that includes environmental monitoring, geosurvey, communication systems, and plasma-enhanced propagation within the CFT ecosystem. All works are interconnected and form a single research system. Author:Sergey Dzhumaev (ORCID: https://orcid.org/0009-0004-1979-3730) #hashtags#CoherentFieldTheory #InfrasonicDefense #InfrastructureProtection #SwarmSystems #SignalProcessing #AdaptiveSystems #NonLethalTechnology #Geolocation #AIControl #DistributedSystems #ExtremeEnvironments","url":"https://doi.org/10.5281/zenodo.19699847","authors":["Dzhumaev, Sergey"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.19699847","addedAt":"2026-08-31T06:40:08.031Z","updatedAt":"2026-08-31T06:40:08.031Z"},{"id":"doi:10.5281/zenodo.20402229","name":"ok-research/bft-uav-validation-lab: v1.0.0 — First release (IEEE Access submission, Phases 1-8 empirical validation)","source":"datacite","abstract":"First public release of the empirical validation testbed for the IEEE Access manuscript \"Byzantine-Fault-Tolerant Hierarchical Navigation for GNSS-Denied UAV Swarms: Architecture, Theoretical Analysis, and Empirical Validation\" (Kalynovskyi, 2026). Contents ROS2 + Gazebo + Python validation stack (18 nodes, 18 messages) Production sweep raw data for Phases 1-8 (workspaces/*) Per-phase reproducibility docs (docs/results/phase-{1..8}.md) Docker recipes (uav-lab:cpu, uav-lab:gpu) Sweep configurations and analysis scripts (scripts/*.{sh,py}) Headline empirical results (all traceable via CODE_TO_CLAIM_MAPPING.md): Phase 1 PoO: AUC = 0.9996 (500 honest + 500 byzantine trials) Phase 2 reputation exclusion: 30/30 trials, 0 false honest exclusions Phase 3 CEP: 23m at k=3 (250-trial sweep, empirical delta = 0.088) Phase 4 failover: p99 = 6.24s across 1200 follower switches Phase 5 GNSS-spoof detection: 98.3% / 0 FP / p99 = 0.60s Phase 6 attrition + admission control: capacity invariant strict (14/15 vs 15/15 Pareto) Phase 7 ablation: TRN strictly necessary (paired 50-trial sweep) Phase 8 vanilla-Raft baseline + Byzantine adversarial: capability gap quantified Companion abstract Monte Carlo simulators (paper Sections VIII-X) at: github.com/ok-research/bft-uav-swarm-validation v1.1","url":"https://doi.org/10.5281/zenodo.20402229","authors":["Claude","Alex K"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.20402229","addedAt":"2026-08-31T06:40:08.031Z","updatedAt":"2026-08-31T06:40:08.031Z"},{"id":"doi:10.5281/zenodo.20807237","name":"Autonomous Drone Swarms for Last-Mile Delivery in Central American Logistics: An AI-Driven Framework","source":"datacite","abstract":"ABSTRACTThis research proposes an advanced artificial intelligence (AI)-driven framework for the deployment of autonomous drone swarms in last-mile delivery operations within Central American logistics systems. As e-commerce expansion, urbanization, and infrastructure limitations continue to reshape supply chain dynamics, last-mile delivery has emerged as one of the most complex and costly segments in logistics networks. This study addresses these challenges by exploring how coordinated multi-agent drone systems, supported by AI algorithms and aerospace telemetry, can optimize delivery efficiency, reduce operational costs, and enhance logistical resilience in emerging regional economies. The study begins by analyzing the structural constraints of last-mile delivery in Central America, including fragmented infrastructure, traffic congestion, rural accessibility limitations, and inconsistent logistics connectivity. These challenges significantly impact delivery speed, cost efficiency, and service reliability. Traditional transportation systems often struggle to meet increasing demand, particularly in geographically diverse environments. The proposed framework introduces autonomous drone swarms as a scalable and adaptable solution capable of navigating complex terrains while maintaining high delivery performance. At the core of the framework is a multi-agent system in which each drone operates as an intelligent autonomous unit while simultaneously coordinating with the swarm to achieve collective optimization goals. The system utilizes deep reinforcement learning and swarm intelligence algorithms to enable dynamic route planning, collision avoidance, adaptive task allocation, and energy-efficient operations. Real-time data inputs—including spatial positioning, weather conditions, traffic patterns, and delivery priorities—are integrated into the decision-making process, allowing the swarm to continuously adapt to changing operational environments. A key innovation of this research is the integration of aerospace telemetry systems to ensure real-time communication, coordination, and control among swarm units and ground-based logistics nodes. Telemetry data supports high-precision navigation, synchronization, and performance monitoring, enabling the swarm to operate effectively even in environments with limited infrastructure. Additionally, the framework incorporates predictive analytics to anticipate demand fluctuations, optimize scheduling, and minimize delivery delays. This predictive capability enhances the resilience and reliability of last-mile delivery operations. The proposed architecture is structured as a multi-layered cyber-physical system comprising data acquisition, data processing, and operational control layers. The data acquisition layer includes UAV sensors, GPS systems, and environmental monitoring devices. The processing layer leverages AI models, edge computing, and cloud-based analytics to manage real-time data streams and generate optimized decisions. The operational layer coordinates swarm execution, integrates with logistics platforms, and supports human-in-the-loop supervision when necessary. This integrated system enables seamless interaction between physical drone operations and digital decision-making processes. Simulation-based evaluations and scenario modeling are conducted to assess the performance of the framework under various logistical conditions, including urban delivery environments, rural distribution networks, and emergency response scenarios. Results indicate substantial improvements in delivery time reduction, route optimization, and energy efficiency compared to traditional single-drone or ground-based delivery systems. The swarm-based model also demonstrates enhanced scalability, allowing for rapid adaptation to increased demand and expanded delivery coverage. Furthermore, the distributed nature of the swarm provides redundancy and fault tolerance, ensuring continuous operation even in the ","url":"https://doi.org/10.5281/zenodo.20807237","authors":["Alfaro, Luis A.","Hernandez, Vanessa L.","Quevedo, Luis A."],"tags":["Autonomous Drone Swarms, Last-Mile Delivery, Artificial Intelligence, Logistics Optimization, Aerospace Systems"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2022","doi":"10.5281/zenodo.20807237","addedAt":"2026-08-31T06:40:08.031Z","updatedAt":"2026-08-31T06:40:08.031Z"},{"id":"doi:10.5281/zenodo.20807238","name":"Autonomous Drone Swarms for Last-Mile Delivery in Central American Logistics: An AI-Driven Framework","source":"datacite","abstract":"ABSTRACTThis research proposes an advanced artificial intelligence (AI)-driven framework for the deployment of autonomous drone swarms in last-mile delivery operations within Central American logistics systems. As e-commerce expansion, urbanization, and infrastructure limitations continue to reshape supply chain dynamics, last-mile delivery has emerged as one of the most complex and costly segments in logistics networks. This study addresses these challenges by exploring how coordinated multi-agent drone systems, supported by AI algorithms and aerospace telemetry, can optimize delivery efficiency, reduce operational costs, and enhance logistical resilience in emerging regional economies. The study begins by analyzing the structural constraints of last-mile delivery in Central America, including fragmented infrastructure, traffic congestion, rural accessibility limitations, and inconsistent logistics connectivity. These challenges significantly impact delivery speed, cost efficiency, and service reliability. Traditional transportation systems often struggle to meet increasing demand, particularly in geographically diverse environments. The proposed framework introduces autonomous drone swarms as a scalable and adaptable solution capable of navigating complex terrains while maintaining high delivery performance. At the core of the framework is a multi-agent system in which each drone operates as an intelligent autonomous unit while simultaneously coordinating with the swarm to achieve collective optimization goals. The system utilizes deep reinforcement learning and swarm intelligence algorithms to enable dynamic route planning, collision avoidance, adaptive task allocation, and energy-efficient operations. Real-time data inputs—including spatial positioning, weather conditions, traffic patterns, and delivery priorities—are integrated into the decision-making process, allowing the swarm to continuously adapt to changing operational environments. A key innovation of this research is the integration of aerospace telemetry systems to ensure real-time communication, coordination, and control among swarm units and ground-based logistics nodes. Telemetry data supports high-precision navigation, synchronization, and performance monitoring, enabling the swarm to operate effectively even in environments with limited infrastructure. Additionally, the framework incorporates predictive analytics to anticipate demand fluctuations, optimize scheduling, and minimize delivery delays. This predictive capability enhances the resilience and reliability of last-mile delivery operations. The proposed architecture is structured as a multi-layered cyber-physical system comprising data acquisition, data processing, and operational control layers. The data acquisition layer includes UAV sensors, GPS systems, and environmental monitoring devices. The processing layer leverages AI models, edge computing, and cloud-based analytics to manage real-time data streams and generate optimized decisions. The operational layer coordinates swarm execution, integrates with logistics platforms, and supports human-in-the-loop supervision when necessary. This integrated system enables seamless interaction between physical drone operations and digital decision-making processes. Simulation-based evaluations and scenario modeling are conducted to assess the performance of the framework under various logistical conditions, including urban delivery environments, rural distribution networks, and emergency response scenarios. Results indicate substantial improvements in delivery time reduction, route optimization, and energy efficiency compared to traditional single-drone or ground-based delivery systems. The swarm-based model also demonstrates enhanced scalability, allowing for rapid adaptation to increased demand and expanded delivery coverage. Furthermore, the distributed nature of the swarm provides redundancy and fault tolerance, ensuring continuous operation even in the ","url":"https://doi.org/10.5281/zenodo.20807238","authors":["Alfaro, Luis A.","Hernandez, Vanessa L.","Quevedo, Luis A."],"tags":["Autonomous Drone Swarms, Last-Mile Delivery, Artificial Intelligence, Logistics Optimization, Aerospace Systems"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2022","doi":"10.5281/zenodo.20807238","addedAt":"2026-08-31T06:40:08.031Z","updatedAt":"2026-08-31T06:40:08.031Z"},{"id":"doi:10.5281/zenodo.20478510","name":"bft-uav-swarm-validation-lab","source":"datacite","abstract":"Eighth phase of the empirical validation campaign for the IEEE Access submission \"Byzantine-Fault-Tolerant Hierarchical Navigation for GNSS-Denied UAV Swarms\" (Kalynovskyi, 2026). Phase 9 — PoO same-region forgery resistance A pre-registered same-region forgery test for Visual Proof of Observation. The adversary holds public satellite imagery of the claimed region but at a different acquisition date than the verifier — the strongest realistic threat to the §IV-B unforgeability rationale not covered by the Phase 1 wrong-region Byzantine model. Pre-registered STRENGTHEN outcome triggered (per the locked interpretation matrix in docs/phase-9-spec.md): same-region median V_score = 0.000 < 0.20 at every tested acquisition gap (same-season, cross-season, cross-year). Headline numbers (1500 trials, 8 tile locations × 6 dates from Sentinel-2 L2A): honest median V_score = 1.000 wrong-region fab median = 0.000 same-region fab median = 0.000 Mann-Whitney AUC honest vs same-region fab = 0.9217 FAR (same-region fab) at T_verify=0.30 = 10.0% FAR (wrong-region fab) at T_verify=0.30 = 0.0% Honest tail disclosure: although the same-region median is at floor, ~10% of same-region fabrications cross T_verify=0.30 — reported alongside the median rather than re-cut to a more comforting summary statistic. What's in this release (beyond v1.0.0) This release rolls up improvements accumulated since v1.0.0 (2026-05-26): Phase 9 end-to-end pipeline (acquisition + trials + analyze + spec) Phase 8 Byzantine adversarial test + BFT-vs-CFT capability gap reframing README full rewrite for cold readers (intro, phase rationale, FAQ, directory tour) CITATION.cff in known-good Zenodo-compatible form Updated IEEE Access paper materials in docs/v10_access/ with new §VI-I Phase 9 subsection Phase 9 artefacts docs/phase-9-spec.md — pre-registered design and interpretation matrix docs/results/phase-9.md — populated results doc scripts/phase9-{acquisition,forgery-trials,analyze,campaign}.{py,sh} — reproducible pipeline workspaces/phase9-acquisition-manifest.csv — 48 (tile, date) Sentinel-2 scenes from Microsoft Planetary Computer mirror workspaces/phase9-sweep/figures/{histogram_v_score,roc_curve}.png — companion figures docs/v10_access/BFT_UAV_Swarm_Paper_v10_access.{tex,pdf} — IEEE Access submission tex including new §VI-I Phase 9 subsection + updated Abstract / contribution-5 / roadmap Reproduction bash scripts/phase9-campaign.sh on any GPU instance. Microsoft Planetary Computer is anonymous public access — no credentials needed beyond pip install planetary-computer pystac-client rasterio lightglue. Companion repositories Abstract Monte Carlo simulators (Sections VIII-X of the paper) at github.com/ok-research/bft-uav-swarm-validation v1.1.","url":"https://doi.org/10.5281/zenodo.20478510","authors":["Kalynovskyi, Oleksandr"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.20478510","addedAt":"2026-08-31T06:40:08.031Z","updatedAt":"2026-08-31T06:40:08.031Z"},{"id":"doi:10.5281/zenodo.21922421","name":"Biomimetic route planning for micro-UAVs using honeybee- inspired optimization","source":"datacite","abstract":"A biomimetic route optimization framework for micro-UAV systems is proposed in this work, which is inspired by the foraging process of honeybees (Apis mellifera) and employs AI. The research is field documented, expert interviews were held, and in combination with supporting microscopic evidence on the morphology of honeybees. The hive entry-exit processes, weather parameters, activity intensity and the environment were registered at three observation points in Goygol and Dashkasan regions of Azerbaijan at 10-minute intervals in the field. These data were analyzed as behavioral indices of adaptive resource search, route choice and group organization. Expert interviews about the behavior of honeybees revealed that honeybees select feeding sites based on distance, availability of nectar/pollen, odor, sight, and energy conservation; and that the information about promising feeding sites is transmitted within the colony through their movement. At the same time, the scientific community of artificial intelligence (AI) confirmed the validity of the use of swarm intelligence and bee colony modelling for routing, resource allocation and real-time adaptation problems in complex systems. From this the paper suggests a conceptual model to translate the searching logic of the honeybee to micro-UAV route optimization idea, such as decentralized search, adaptive path selection, exploration-exploitation balance and environmental responsiveness. Biomimetic evidence is provided by the presence of compound eyes and wing structures, in the form of the microscope images, to the concepts of multi-sensor perception and lightweight mobility. The results indicate that the bioinspired AI models can help to improve the energy efficiency, adaptiveness, and resilience of micro-UAVs, especially in the fields of environmental monitoring, search and rescue missions, and distributed observation systems.","url":"https://doi.org/10.5281/zenodo.21922421","authors":["Qadimli, Nushaba","Mammadov, Ulvi","Hasilov, Elvin"],"tags":["honeybee foraging behavior","biomimicry","artificial intelligence","micro-UAV","route optimization","swarm intelligence"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.21922421","addedAt":"2026-08-31T06:40:08.031Z","updatedAt":"2026-08-31T06:40:08.031Z"},{"id":"doi:10.5281/zenodo.21922420","name":"Biomimetic route planning for micro-UAVs using honeybee- inspired optimization","source":"datacite","abstract":"A biomimetic route optimization framework for micro-UAV systems is proposed in this work, which is inspired by the foraging process of honeybees (Apis mellifera) and employs AI. The research is field documented, expert interviews were held, and in combination with supporting microscopic evidence on the morphology of honeybees. The hive entry-exit processes, weather parameters, activity intensity and the environment were registered at three observation points in Goygol and Dashkasan regions of Azerbaijan at 10-minute intervals in the field. These data were analyzed as behavioral indices of adaptive resource search, route choice and group organization. Expert interviews about the behavior of honeybees revealed that honeybees select feeding sites based on distance, availability of nectar/pollen, odor, sight, and energy conservation; and that the information about promising feeding sites is transmitted within the colony through their movement. At the same time, the scientific community of artificial intelligence (AI) confirmed the validity of the use of swarm intelligence and bee colony modelling for routing, resource allocation and real-time adaptation problems in complex systems. From this the paper suggests a conceptual model to translate the searching logic of the honeybee to micro-UAV route optimization idea, such as decentralized search, adaptive path selection, exploration-exploitation balance and environmental responsiveness. Biomimetic evidence is provided by the presence of compound eyes and wing structures, in the form of the microscope images, to the concepts of multi-sensor perception and lightweight mobility. The results indicate that the bioinspired AI models can help to improve the energy efficiency, adaptiveness, and resilience of micro-UAVs, especially in the fields of environmental monitoring, search and rescue missions, and distributed observation systems.","url":"https://doi.org/10.5281/zenodo.21922420","authors":["Qadimli, Nushaba","Mammadov, Ulvi","Hasilov, Elvin"],"tags":["honeybee foraging behavior","biomimicry","artificial intelligence","micro-UAV","route optimization","swarm intelligence"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.21922420","addedAt":"2026-08-31T06:40:08.031Z","updatedAt":"2026-08-31T06:40:08.031Z"},{"id":"doi:10.5281/zenodo.18735296","name":"Guns","source":"datacite","abstract":"You can think of the combined system as a bottom‑heavy smart rifle platform with a Psyrail “intelligent barrel/rail core” running everything: firing, guidance, recoil control, and biometrics. The Psyrail document already contains almost all of the electronics, sensing, and logic you need; your chassis/drum/keel concept is the physical host for it. Below is a merged view of how it fits together and what it actually does. 1. Mechanical platform + Psyrail core Chassis / balance A carbon‑composite receiver and handguard carry the barrel and Psyrail attachment, with dense material concentrated low (magwell block, under‑handguard keel, buttstock weight) so the center of gravity sits noticeably below the bore and near the front of the magwell. This bottom‑weighting complements Psyrail’s recoil and vibration control: when the barrel and rail are actively damping whip and recoil, the “keel‑down” CG resists roll and helps the gun settle in line instead of corkscrewing. Magnetic drum A low, central drum under the receiver feeds into a short tower that locks into the magwell. Internally it can act as a magnetic conditioning carousel, pre‑magnetizing soft‑magnetic projectiles as they pass a field region and using magnetic attraction to help retain cartridges in each station, which matches how Psyrail later expects magnetized projectiles if you ever pair it with EM muzzle devices or advanced sensing. Recoil keel‑clip Under the handguard and magwell, a clip‑on keel module adds dense mass and can carry extra MEMS sensors and piezo actuators. Psyrail already defines a recoil‑cancellation piezo array controlled by the main MCU to generate counter‑vibrations in the gun’s chassis; in your design that array can live in (or be extended into) this keel‑clip, letting it act as both ballast and an active damper. So mechanically, your rifle is the host body that gives Psyrail a very favorable mass layout to work with: lots of mass low and central, plenty of structure to mount transducers, sensors and piezos, and a drum that doubles as ballast. 2. Psyrail electronics and safety backbone All of the “brains” sit in the Psyrail module and a few satellite boards embedded in the chassis. Directional enforcement and firing A Schottky diode module sits between the MCU’s fire‑command output and the firing actuator, enforcing one‑way current flow (so nothing can back‑drive the trigger or rail) and providing surge protection. This is the core electrical safety barrier: even if software misbehaves, reverse or unintended currents into the trigger line are blocked. Controller and sensors The controller stack is compact but dense in capability: A microcontroller (STM32F7/ESP32‑S3 class, ~hundreds of MHz) with onboard ADCs reads all the sensors and generates control waveforms. A 9‑DoF IMU provides orientation data in real time. Multiple ultrasonic transducers mounted along the barrel generate a directed acoustic field used both for sensing and for actively shaping barrel vibration. Vibration/acceleration sensors (MEMS accelerometers) measure barrel whip and recoil response. A 0–3 bar pressure transducer at the breech or interface region measures chamber/barrel pressure and gates firing logic. Power is supplied from a compact rechargeable pack with local regulation and generous decoupling, sized to run the MCU, sensors, ultrasonic array, and piezo actuators with short bursts at each shot. 3. Control logic: pressure‑gated, state‑based weapon brain The Psyrail architecture is built around a firmware finite‑state machine (FSM) driven by the pressure sensor, trigger input, and internal health checks. At its core: IDLE – system powered but passive, monitoring sensors. STANDBY – conditions good, pressure nominal, ready to fire. FIRING – a valid trigger event plus a proper pressure rise authorizes a shot; acoustic and recoil shaping routines run. VELOCITY‑MODE (optional) – under a specific high‑pressure signature during firing, the system reshapes its acoustic output to act a","url":"https://doi.org/10.5281/zenodo.18735296","authors":["francis, lee"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.18735296","addedAt":"2026-08-31T06:40:08.031Z","updatedAt":"2026-08-31T06:40:08.031Z"},{"id":"doi:10.5281/zenodo.20834944","name":"Guns","source":"datacite","abstract":"You can think of the combined system as a bottom‑heavy smart rifle platform with a Psyrail “intelligent barrel/rail core” running everything: firing, guidance, recoil control, and biometrics. The Psyrail document already contains almost all of the electronics, sensing, and logic you need; your chassis/drum/keel concept is the physical host for it. Below is a merged view of how it fits together and what it actually does. 1. Mechanical platform + Psyrail core Chassis / balance A carbon‑composite receiver and handguard carry the barrel and Psyrail attachment, with dense material concentrated low (magwell block, under‑handguard keel, buttstock weight) so the center of gravity sits noticeably below the bore and near the front of the magwell. This bottom‑weighting complements Psyrail’s recoil and vibration control: when the barrel and rail are actively damping whip and recoil, the “keel‑down” CG resists roll and helps the gun settle in line instead of corkscrewing. Magnetic drum A low, central drum under the receiver feeds into a short tower that locks into the magwell. Internally it can act as a magnetic conditioning carousel, pre‑magnetizing soft‑magnetic projectiles as they pass a field region and using magnetic attraction to help retain cartridges in each station, which matches how Psyrail later expects magnetized projectiles if you ever pair it with EM muzzle devices or advanced sensing. Recoil keel‑clip Under the handguard and magwell, a clip‑on keel module adds dense mass and can carry extra MEMS sensors and piezo actuators. Psyrail already defines a recoil‑cancellation piezo array controlled by the main MCU to generate counter‑vibrations in the gun’s chassis; in your design that array can live in (or be extended into) this keel‑clip, letting it act as both ballast and an active damper. So mechanically, your rifle is the host body that gives Psyrail a very favorable mass layout to work with: lots of mass low and central, plenty of structure to mount transducers, sensors and piezos, and a drum that doubles as ballast. 2. Psyrail electronics and safety backbone All of the “brains” sit in the Psyrail module and a few satellite boards embedded in the chassis. Directional enforcement and firing A Schottky diode module sits between the MCU’s fire‑command output and the firing actuator, enforcing one‑way current flow (so nothing can back‑drive the trigger or rail) and providing surge protection. This is the core electrical safety barrier: even if software misbehaves, reverse or unintended currents into the trigger line are blocked. Controller and sensors The controller stack is compact but dense in capability: A microcontroller (STM32F7/ESP32‑S3 class, ~hundreds of MHz) with onboard ADCs reads all the sensors and generates control waveforms. A 9‑DoF IMU provides orientation data in real time. Multiple ultrasonic transducers mounted along the barrel generate a directed acoustic field used both for sensing and for actively shaping barrel vibration. Vibration/acceleration sensors (MEMS accelerometers) measure barrel whip and recoil response. A 0–3 bar pressure transducer at the breech or interface region measures chamber/barrel pressure and gates firing logic. Power is supplied from a compact rechargeable pack with local regulation and generous decoupling, sized to run the MCU, sensors, ultrasonic array, and piezo actuators with short bursts at each shot. 3. Control logic: pressure‑gated, state‑based weapon brain The Psyrail architecture is built around a firmware finite‑state machine (FSM) driven by the pressure sensor, trigger input, and internal health checks. At its core: IDLE – system powered but passive, monitoring sensors. STANDBY – conditions good, pressure nominal, ready to fire. FIRING – a valid trigger event plus a proper pressure rise authorizes a shot; acoustic and recoil shaping routines run. VELOCITY‑MODE (optional) – under a specific high‑pressure signature during firing, the system reshapes its acoustic output to act a","url":"https://doi.org/10.5281/zenodo.20834944","authors":["francis, lee"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.20834944","addedAt":"2026-08-31T06:40:08.031Z","updatedAt":"2026-08-31T06:40:08.031Z"},{"id":"doi:10.5281/zenodo.20848077","name":"CELLHAWK: A Triply-Redundant Navigation Architecture for GPS-Denied and Electronically Contested Environments","source":"datacite","abstract":"This paper presents CELLHAWK, a software-defined, hardware-agnostic autonomous navigation frameworkdesigned to maintain full mission continuity for Unmanned Aerial Vehicles (UAVs) operating in Global NavigationSatellite System (GNSS)-denied and electronically contested environments. Existing commercial autonomousplatforms fail predictably when subjected to Radio Frequency (RF) jamming or GPS spoofing, as they rely on asingle primary navigation source. CELLHAWK addresses this single point of failure through a triply-redundant,sensor-fused navigation stack integrating: (1) Primary GNSS, (2) passive Received Signal Strength Indicator(RSSI)-based multilateration using ambient 4G/LTE cellular infrastructure, and (3) Visual SimultaneousLocalization and Mapping (SLAM) optical odometry. Transitions between tiers are governed by an ExtendedKalman Filter (EKF) that dynamically scales its innovation covariance matrix based on real-timeJamming-to-Signal Ratio (JSR) measurements at the Software Defined Radio (SDR) front-end. All resultsreported are simulation-derived over real-world 3D terrain at global locations, demonstrating sub-50 m RMSpositioning error maintained across the full jamming spectrum from 0 dB to 30+ dB JSR. The architecture isadditionally validated against real-world UAV combat loss scenarios sourced from open-source conflict reporting,providing adversarially grounded training data for the CORTEX v2.0 AI autonomy engine. Physical SDR fieldvalidation is planned for Q3 2026.","url":"https://doi.org/10.5281/zenodo.20848077","authors":["Kumar, Shashank"],"tags":["Swarm Robotics","GPS-Denied Navigation","Electronic Warfare","UAV Systems","Cellular Multilateration"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.20848077","addedAt":"2026-08-31T06:40:08.031Z","updatedAt":"2026-08-31T06:40:08.031Z"},{"id":"doi:10.5281/zenodo.21134856","name":"CELLHAWK: A Triply-Redundant Navigation Architecture for GPS-Denied and Electronically Contested Environments","source":"datacite","abstract":"This paper presents CELLHAWK, a software-defined, hardware-agnostic autonomous navigation frameworkdesigned to maintain full mission continuity for Unmanned Aerial Vehicles (UAVs) operating in Global NavigationSatellite System (GNSS)-denied and electronically contested environments. Existing commercial autonomousplatforms fail predictably when subjected to Radio Frequency (RF) jamming or GPS spoofing, as they rely on asingle primary navigation source. CELLHAWK addresses this single point of failure through a triply-redundant,sensor-fused navigation stack integrating: (1) Primary GNSS, (2) passive Received Signal Strength Indicator(RSSI)-based multilateration using ambient 4G/LTE cellular infrastructure, and (3) Visual SimultaneousLocalization and Mapping (SLAM) optical odometry. Transitions between tiers are governed by an ExtendedKalman Filter (EKF) that dynamically scales its innovation covariance matrix based on real-timeJamming-to-Signal Ratio (JSR) measurements at the Software Defined Radio (SDR) front-end. All resultsreported are simulation-derived over real-world 3D terrain at global locations, demonstrating sub-50 m RMSpositioning error maintained across the full jamming spectrum from 0 dB to 30+ dB JSR. The architecture isadditionally validated against real-world UAV combat loss scenarios sourced from open-source conflict reporting,providing adversarially grounded training data for the CORTEX v2.0 AI autonomy engine. Physical SDR fieldvalidation is planned for Q3 2026.","url":"https://doi.org/10.5281/zenodo.21134856","authors":["Kumar, Shashank"],"tags":["Swarm Robotics","GPS-Denied Navigation","Electronic Warfare","UAV Systems","Cellular Multilateration"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.21134856","addedAt":"2026-08-31T06:40:08.031Z","updatedAt":"2026-08-31T06:40:08.031Z"},{"id":"doi:10.5281/zenodo.20114229","name":"Towards the Next Generation Robotic Autonomy on the Edge: Scalability, Resiliency, and Dynamic Resource Allocation","source":"datacite","abstract":"Motivated by the increasing need for advanced autonomy and in response to the computational limitations of onboard robotic systems, this thesis presents unified novel frameworks to enhance the autonomy of computationally resource-constrained aerial and ground robotic systems. The contributions span from designing novel robotic architectures through edge computing and edge/cloud technologies for robust and safe control system design. Furthermore, it contributes by developing resource-aware offloading strategies, scalable cloud/edge deployments, and resilient fallback mechanisms centered around control architectures. A core focus centers in enabling real-time trajectory control for robotic platforms, primarily Unmanned Aerial Vehicles (UAVs), by offloading computationally heavy control components to Kubernetes (k8s) edge clusters. The proposed edge architecture integrates edge-offloaded Nonlinear Model Predictive Control (NMPC) with onboard sensing, which requires data transmission between the edge and the robots. A major challenge lies in addressing communication time delays, which are inherent in Networked Control Systems (NCS). By deploying network-aware switching strategies that enable seamless transition between offloaded NMPC and onboard fail-safe control, continuous and safe operation is ensured. By utilizing 5G communication channels and network Key Performance Indicators (KPIs), the system can reactively switch to a safe onboard Proportional-Integral-Derivative (PID) fallback controller when time delays or signal degradation jeopardize stability. Building upon this, a series of novel architectures are proposed to explore predictive control under varying communication time delays. Position predictors are introduced to compensate for round-trip time (RTT) delays, enabling smooth UAV behavior. While the computational burden of NMPC is obvious in resource-constrained single-agent systems, it becomes even more critical in Multi-Agent Systems (MAS). Therefore, these control schemes are extended to centralized NMPC and offloaded to edge clusters. The proposed E-CNMPC (Edge-based Centralized NMPC) framework supports real-time swarm trajectory optimization with embedded collision avoidance by offloading the full control stack to the k8s edge cluster. To address the scalability limitations of centralized NMPC in larger robotic MAS, this thesis introduces novel cloud-based and edge-based architectures that combine intelligent scheduling with dynamic resource modeling. First, dynamic resource allocation based on agent count and prediction horizon length is proposed, ensuring that edge resources are efficiently utilized. Then, a k8s-based scheduling mechanism configures centralized control parameters and dynamically deploys or reconfigures CNMPC pods (similar to E-CNMPC pods) across distributed worker nodes in edge or cloud clusters. The system solves a Mixed-Integer Linear Program (MILP) to optimize controller-to-agent assignment, prediction horizons, and node-level resource allocations, all while respecting hardware and time delay constraints. In parallel, the framework ensures that closed-loop system stability requirements are met. A polynomial complexity model, derived offline, estimates the computational demand of each controller based on agent count and prediction horizon. This model feeds an online control law that adjusts Central Processing Unit (CPU) and memory requests in real time, ensuring that the total RTT delay remains within a stability-guaranteeing threshold. The result is a robust and responsive orchestration framework that maintains closed-loop performance under dynamic workloads and varying communication time delays, enables seamless controller scaling and migration, and maximizes resource efficiency. A comprehensive comparison between edge computing architectures demonstrates the advantages of the proposed orchestrated systems in resilience, scalability, and fault recovery. K8s enables features like automated de","url":"https://doi.org/10.5281/zenodo.20114229","authors":["Seisa, Achilleas Santi"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.20114229","addedAt":"2026-08-31T06:40:08.031Z","updatedAt":"2026-08-31T06:40:08.031Z"},{"id":"doi:10.5281/zenodo.20114230","name":"Towards the Next Generation Robotic Autonomy on the Edge: Scalability, Resiliency, and Dynamic Resource Allocation","source":"datacite","abstract":"Motivated by the increasing need for advanced autonomy and in response to the computational limitations of onboard robotic systems, this thesis presents unified novel frameworks to enhance the autonomy of computationally resource-constrained aerial and ground robotic systems. The contributions span from designing novel robotic architectures through edge computing and edge/cloud technologies for robust and safe control system design. Furthermore, it contributes by developing resource-aware offloading strategies, scalable cloud/edge deployments, and resilient fallback mechanisms centered around control architectures. A core focus centers in enabling real-time trajectory control for robotic platforms, primarily Unmanned Aerial Vehicles (UAVs), by offloading computationally heavy control components to Kubernetes (k8s) edge clusters. The proposed edge architecture integrates edge-offloaded Nonlinear Model Predictive Control (NMPC) with onboard sensing, which requires data transmission between the edge and the robots. A major challenge lies in addressing communication time delays, which are inherent in Networked Control Systems (NCS). By deploying network-aware switching strategies that enable seamless transition between offloaded NMPC and onboard fail-safe control, continuous and safe operation is ensured. By utilizing 5G communication channels and network Key Performance Indicators (KPIs), the system can reactively switch to a safe onboard Proportional-Integral-Derivative (PID) fallback controller when time delays or signal degradation jeopardize stability. Building upon this, a series of novel architectures are proposed to explore predictive control under varying communication time delays. Position predictors are introduced to compensate for round-trip time (RTT) delays, enabling smooth UAV behavior. While the computational burden of NMPC is obvious in resource-constrained single-agent systems, it becomes even more critical in Multi-Agent Systems (MAS). Therefore, these control schemes are extended to centralized NMPC and offloaded to edge clusters. The proposed E-CNMPC (Edge-based Centralized NMPC) framework supports real-time swarm trajectory optimization with embedded collision avoidance by offloading the full control stack to the k8s edge cluster. To address the scalability limitations of centralized NMPC in larger robotic MAS, this thesis introduces novel cloud-based and edge-based architectures that combine intelligent scheduling with dynamic resource modeling. First, dynamic resource allocation based on agent count and prediction horizon length is proposed, ensuring that edge resources are efficiently utilized. Then, a k8s-based scheduling mechanism configures centralized control parameters and dynamically deploys or reconfigures CNMPC pods (similar to E-CNMPC pods) across distributed worker nodes in edge or cloud clusters. The system solves a Mixed-Integer Linear Program (MILP) to optimize controller-to-agent assignment, prediction horizons, and node-level resource allocations, all while respecting hardware and time delay constraints. In parallel, the framework ensures that closed-loop system stability requirements are met. A polynomial complexity model, derived offline, estimates the computational demand of each controller based on agent count and prediction horizon. This model feeds an online control law that adjusts Central Processing Unit (CPU) and memory requests in real time, ensuring that the total RTT delay remains within a stability-guaranteeing threshold. The result is a robust and responsive orchestration framework that maintains closed-loop performance under dynamic workloads and varying communication time delays, enables seamless controller scaling and migration, and maximizes resource efficiency. A comprehensive comparison between edge computing architectures demonstrates the advantages of the proposed orchestrated systems in resilience, scalability, and fault recovery. K8s enables features like automated de","url":"https://doi.org/10.5281/zenodo.20114230","authors":["Seisa, Achilleas Santi"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.5281/zenodo.20114230","addedAt":"2026-08-31T06:40:08.031Z","updatedAt":"2026-08-31T06:40:08.031Z"},{"id":"doi:10.5281/zenodo.20402228","name":"bft-uav-validation-lab","source":"datacite","abstract":"Empirical validation testbed for the IEEE Access manuscript \"Byzantine-Fault-Tolerant Hierarchical Navigation for GNSS-Denied UAV Swarms: Architecture, Theoretical Analysis, and Empirical Validation\" (Kalynovskyi, 2026). See README for full documentation, citation, reproduction instructions, and the directory tour. Headline empirical results (all traceable via CODE_TO_CLAIM_MAPPING.md): Phase 1 PoO: AUC = 0.9996 (500 honest + 500 byzantine trials) Phase 2 reputation exclusion: 30/30 trials, 0 false honest exclusions Phase 3 CEP: 23 m at k = 3 (250-trial sweep, empirical delta = 0.088) Phase 4 failover: p99 = 6.24 s across 1200 follower switches Phase 5 GNSS-spoof detection: 98.3% / 0 FP / p99 = 0.60 s Phase 6 attrition + admission control: capacity invariant strict Phase 7 ablation: TRN strictly necessary (paired 50-trial sweep) Phase 8 vanilla-Raft + Byzantine: BFT-vs-CFT capability gap quantified Companion repository for paper Sections VIII-X abstract Monte Carlo simulators: github.com/ok-research/bft-uav-swarm-validation v1.1","url":"https://doi.org/10.5281/zenodo.20402228","authors":["Kalynovskyi, Oleksandr"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.20402228","addedAt":"2026-08-31T06:40:08.031Z","updatedAt":"2026-08-31T06:40:08.031Z"},{"id":"doi:10.5281/zenodo.20402379","name":"ok-research/bft-uav-validation-lab: v1.0.1 — Slim reproducibility release (canonical; supersedes v1.0.0)","source":"datacite","abstract":"Patch release of the empirical validation testbed for the IEEE Access manuscript \"Byzantine-Fault-Tolerant Hierarchical Navigation for GNSS-Denied UAV Swarms: Architecture, Theoretical Analysis, and Empirical Validation\" (Kalynovskyi, 2026). This release supersedes v1.0.0. Use this version for citation and reproduction. v1.0.0 inadvertently included author-side submission artefacts (paper PDF + cover letter + internal AI-assistant working docs) and superseded artefactual sweep workspaces that are not load-bearing for any paper claim; v1.0.1 prunes them. What v1.0.1 contains (vs. what was removed) REMOVED from v1.0.0 (not load-bearing for paper claims): docs/v10_access/* (paper PDF/tex + submission artefacts — paper itself lives at IEEE Access) docs/reference/* (previous paper version v9.8) docs/preflight/* (internal license-clearance + account-setup notes) docs/{cost-budget,vast-ai-rental-spec}.md (internal author accounting) CLAUDE.md (internal AI-assistant project conventions) workspaces/phase3-{prod,prod-v2,baseline-v3} (artefactual; superseded by phase3-prod-v4 and phase3-baseline-v3-50) workspaces/phase6-tier-b-prod-v2 (jitter-only attempt; superseded by v3 with admission control) workspaces/phase7-abl4-notrn{,-v2,-v3} (5-trial sampling artefacts; superseded by phase7-abl4-notrn-v4 50-trial paired) KEPT (the reproducibility-essential content): README.md, LICENSE, CODE_TO_CLAIM_MAPPING.md Docker recipes (Dockerfile.{cpu,gpu}) src/uav_swarm_msgs/ (18 messages) + src/uav_swarm_nodes/ (18 nodes) scripts/ (47 sweep + analyze + smoke scripts) docs/VALIDATION_PLAN.md + 7 phase specs + poo-algorithm-spec docs/results/phase-{1..8,6-tier-a-trial}.md (per-phase reproducibility pins) workspaces/ (14 final production sweeps, all cited in paper §VI/§VII) Headline empirical results (all traceable via CODE_TO_CLAIM_MAPPING.md): Phase 1 PoO: AUC = 0.9996 (500 honest + 500 byzantine trials) Phase 2 reputation exclusion: 30/30 trials, 0 false honest exclusions Phase 3 CEP: 23m at k=3 (250-trial sweep, empirical delta = 0.088) Phase 4 failover: p99 = 6.24s across 1200 follower switches Phase 5 GNSS-spoof detection: 98.3% / 0 FP / p99 = 0.60s Phase 6 attrition + admission control: capacity invariant strict (14/15 vs 15/15 Pareto) Phase 7 ablation: TRN strictly necessary (paired 50-trial sweep) Phase 8 vanilla-Raft baseline + Byzantine adversarial: capability gap quantified Companion abstract Monte Carlo simulators (paper Sections VIII-X) at: github.com/ok-research/bft-uav-swarm-validation v1.1","url":"https://doi.org/10.5281/zenodo.20402379","authors":["Claude","Alex K"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.20402379","addedAt":"2026-08-31T06:40:08.031Z","updatedAt":"2026-08-31T06:40:08.031Z"},{"id":"doi:10.5281/zenodo.20402934","name":"bft-uav-swarm-validation-lab v2.0.0: Empirical validation testbed for Byzantine-fault-tolerant cooperative UAV navigation","source":"datacite","abstract":"Empirical validation testbed for a Byzantine-fault-tolerant cooperative navigation architecture for UAV swarms operating in GNSS-denied environments. Companion to the manuscript \"Byzantine-Fault-Tolerant Hierarchical Navigation for GNSS-Denied UAV Swarms: Architecture, Theoretical Analysis, and Empirical Validation\" (Kalynovskyi, 2026; submitted to IEEE Access). Cooperative UAV swarms sharing position estimates over UWB radio links are vulnerable to a single Byzantine peer — a captured, sensor-faulted, or maliciously-firmwared vehicle — that transmits falsified position data and corrupts everyone's navigation solution. The proposed architecture combines six defences (terrain-referenced trust, asymmetric reputation, dynamic anchor election, automatic failover, GNSS-spoofing cross-verification, capacity-aware load balancing) at the factor-graph state-estimation layer. This repository measures whether each pillar actually does what the theory predicts, end-to-end, in a flight-realistic simulator. Every numerical claim in Sections VI and VII of the manuscript traces to a specific raw-data file in `workspaces/`, via the explicit map in `CODE_TO_CLAIM_MAPPING.md`. STACK PIN (v2.0.0) ROS 2 Jazzy · Gazebo Harmonic · PX4-Autopilot (SITL) · GTSAM 4.2 · Python 3.12 · CUDA ≥12.4. Reference images: - ghcr.io/a3ka/uav-lab:cpu — Phases 3-8 (protocol-only) - ghcr.io/a3ka/uav-lab:gpu — Phases 1, 2, 9 (adds SuperPoint v1 + LightGlue + PyTorch CUDA) Per-phase Docker image digests in docs/results/phase-{1..9}.md. QUICK REPRODUCTION docker pull ghcr.io/a3ka/uav-lab:gpu git clone https://github.com/ok-research/bft-uav-swarm-validation-lab.git cd bft-uav-swarm-validation-lab bash scripts/phase{N}-campaign.sh # N in 1..9 VALIDATION CAMPAIGN (NINE PHASES) Phase 1 — Proof-of-Observation FAR/FRR: AUC = 0.9996 over 500 honest + 500 fabrication trials; FAR = 0 % / FRR = 4.6 % at the paper-spec T_verify = 0.30. Phase 2 — Reputation-driven Byzantine exclusion: 30/30 trials PASS, zero false honest exclusions; median exclusion 5–15 s. Phase 3 — CEP vs relay depth: 250 trials, CEP_50 = 23 m at 3 hops, empirical per-hop multiplier δ = 0.088. Phase 4 — Automatic failover: 1200/1200 follower-switch measurements PASS across 4 scenarios; p99 = 6.24 s vs design budget 10 s (silence-triggered) / 1.94 s (reputation-triggered). Phase 5 — GNSS-spoof detection: 98.3 % detection (59/60 victims), 0 false positives, p99 detection time 0.60 s vs paper spec < 5 s. Phase 6 — Progressive attrition with admission control: 14/15 missions survive with over-capacity interval strictly held at 0 s. Phase 7 — Single-pillar ablation: removing PoO drops spoof recall from 98.3 % to 0 %; removing failover stretches recovery from 6 s to 31s; removing TRN degrades CEP by 32–117 % depending on hop depth. Phase 8 — Vanilla-Raft baseline + Byzantine adversarial measurement: Raft is compromised indefinitely by a single Byzantine leader-claimer (19/19 Byzantine heartbeats dominate 4 honest nodes); the proposed protocol excludes the adversary within 0.6 s. Phase 9 — Proof-of-Observation same-region forgery resistance (pre-registered): same-region median V_score = 0.000 at every adversary-verifier acquisition gap; Mann-Whitney AUC = 0.9217 over 1500 trials × 48 Sentinel-2 scenes; tail FAR = 10 % at T_verify = 0.30 (see docs/phase-9-spec.md). WHAT IS INCLUDED ROS 2 source for 18 nodes + 18 .msg definitions (src/) Per-phase campaign scripts and analyzers (scripts/) All production sweep CSVs and analysis.json summaries (workspaces/phase{1..9}-*/) Per-phase reproducibility documents with Docker image digest, git commit at sweep start, and manifest of sweep parameters at docs/results/phase-{1..9}.md Phase 9 Sentinel-2 acquisition manifest (48 scenes from Microsoft Planetary Computer mirror; raw scenes are gitignored — re-runnable from the manifest) Manuscript source (docs/v10_access/) Docker recipes (docker/Dockerfile.{cpu,gpu}) EXCLUDED BY DESIGN Raw Gazebo bag files — regenerable from configs Raw Sen","url":"https://doi.org/10.5281/zenodo.20402934","authors":["Kalynovskyi, Oleksandr"],"tags":["UAV Swarm","Byzantine fault tolerance","GNSS-denied navigation","cooperative localization","factor graph","ROS 2","Gazebo","PX4"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.20402934","addedAt":"2026-08-31T06:40:08.031Z","updatedAt":"2026-08-31T06:40:08.031Z"},{"id":"doi:10.5281/zenodo.20402935","name":"ok-research/bft-uav-swarm-validation-lab: v1.0.0 — bft-uav-swarm-validation-lab","source":"datacite","abstract":"Empirical validation testbed for the IEEE Access manuscript \"Byzantine-Fault-Tolerant Hierarchical Navigation for GNSS-Denied UAV Swarms: Architecture, Theoretical Analysis, and Empirical Validation\" (Kalynovskyi, 2026). See the README for full documentation, citation, reproduction instructions, and the directory tour. Headline empirical results (all traceable via CODE_TO_CLAIM_MAPPING.md): Phase 1 PoO: AUC = 0.9996 (500 honest + 500 byzantine trials) Phase 2 reputation exclusion: 30/30 trials, 0 false honest exclusions Phase 3 CEP: 23 m at k = 3 (250-trial sweep, empirical delta = 0.088) Phase 4 failover: p99 = 6.24 s across 1200 follower switches Phase 5 GNSS-spoof detection: 98.3% / 0 FP / p99 = 0.60 s Phase 6 attrition + admission control: capacity invariant strict Phase 7 ablation: TRN strictly necessary (paired 50-trial sweep) Phase 8 vanilla-Raft + Byzantine: BFT-vs-CFT capability gap quantified Companion repository for paper Sections VIII-X abstract Monte Carlo simulators: github.com/ok-research/bft-uav-swarm-validation v1.1","url":"https://doi.org/10.5281/zenodo.20402935","authors":["Alex K"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.20402935","addedAt":"2026-08-31T06:40:08.031Z","updatedAt":"2026-08-31T06:40:08.031Z"},{"id":"doi:10.48550/arxiv.2608.06885","name":"Rigid-Covert GNSS Spoofing of UAV Swarms: A Structural Blind Spot, Its Detection Limit, and Absolute-Anchor Defenses","source":"datacite","abstract":"Cooperative UAV-swarm defenses commonly cross-check GNSS positions against measured inter-drone geometry. We show that this relative-geometry channel has a structural blind spot: a common, slowly varying translation (a rigid-covert shift, RigidShift) preserves all pairwise distances and is therefore unobservable to any relative-only detector (a gauge-freedom argument). We validate this blindness on distance-verification and semidefinite-feasibility baselines, while explicitly distinguishing it from onboard inertial/GNSS monitors that can raise a bare alarm but cannot recover the swarm's true position. To quantify when an external reference restores observability, we derive the drift-dependent detection floor $2γ/(1-t_s/T)$ for a calibrated anchor-residual detector and empirically identify an additional detector-specific noise floor (measured slope 2.66 vs. predicted 2.67). We then present a centralized anchor-rooted recovery pipeline that reconstructs swarm geometry from inter-drone ranges, aligns it to a trusted-anchor subset with Byzantine-robust fitting, and recovers the absolute positions of non-anchored drones. A segmented estimator jointly estimates anchor drift, attack rate, and onset when no clean-epoch label is available. Across statistical simulations, ArduPilot software-in-the-loop experiments, and Gazebo experiments with rendered vision anchors, the method recovers the positions of non-anchored drones to a median error of 0.39 m (20 seeds) under approximately 10.1 m of GNSS drift, and to 7.1 cm (5 seeds) in the rendered-vision multi-SITL setting. We also characterize the explicit limits imposed by non-collinear anchor geometry, anchor coverage, $τ\\to0$ drift-attack aliasing, and majority anchor compromise. All evaluations are simulation-based and use no RF spoofing hardware or physical swarm.","url":"https://doi.org/10.48550/arxiv.2608.06885","authors":["Park, Minseok","Yoo, Joon Soo"],"tags":["Cryptography and Security (cs.CR)","Robotics (cs.RO)","FOS: Computer and information sciences"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.48550/arxiv.2608.06885","addedAt":"2026-08-31T06:40:08.031Z","updatedAt":"2026-08-31T06:40:08.031Z"},{"id":"doi:10.5281/zenodo.21838040","name":"Display Triage under DIL Connectivity: reproduction code","source":"datacite","abstract":"Monte Carlo reproduction code for a case study showing that a machine-layer prioritisation metric, transplanted directly onto an operator display, performs worse than no triage at all. Includes the independent kinematic ground-truth model used for scoring.","url":"https://doi.org/10.5281/zenodo.21838040","authors":["Mustafa, Ghulam"],"tags":["UAV swarms","human-swarm interaction","DIL connectivity","age of information","situation awareness"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.21838040","addedAt":"2026-08-31T06:40:08.031Z","updatedAt":"2026-08-31T06:40:08.031Z"},{"id":"doi:10.5281/zenodo.21838041","name":"Display Triage under DIL Connectivity: reproduction code","source":"datacite","abstract":"Monte Carlo reproduction code for a case study showing that a machine-layer prioritisation metric, transplanted directly onto an operator display, performs worse than no triage at all. Includes the independent kinematic ground-truth model used for scoring.","url":"https://doi.org/10.5281/zenodo.21838041","authors":["Mustafa, Ghulam"],"tags":["UAV swarms","human-swarm interaction","DIL connectivity","age of information","situation awareness"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.21838041","addedAt":"2026-08-31T06:40:08.031Z","updatedAt":"2026-08-31T06:40:08.031Z"},{"id":"doi:10.5281/zenodo.21479041","name":"expanded theories","source":"datacite","abstract":"Combined, the railgun pod, Frostline core, signal‑booster RF link, and visual bay give you an armed, long‑range, encrypted drone (or swarm) with real‑time command, telemetry, and video, all governed through the same safety and lineage stack. 1. Command‑and‑control + performance The RF booster adds a 4‑antenna phased array at the base station with +36 dB effective link‑budget gain, extending line‑of‑sight control from ≈100 m to ≈300–400 m (250 m urban, ≈500 m clear), with telemetry > video) to preserve responsiveness. On the operator’s PC, the visual bay software decrypts and displays up to 16 simultaneous feeds in a tiled grid with 50–150 ms end‑to‑end latency, writing all streams to an 8 TB NVMe RAID‑5 archive that holds ≈40 hours of multi‑drone 1080p footage and supports fast search by time, location, and inference tags. Inference (e.g., YOLO‑tiny on the drones) tags frames with “person/vehicle/anomaly” metadata; the archive can be queried for events like “all footage with a person between 14:00–16:00 UTC in grid 42N”, returning results in 80 % of impact load laterally, reducing peak stress on any single panel. Structural anomaly detection drops to ≤10 ms (≤5 ms with added sensors), and autonomous sealant polymerization occurs within 200 ms. Coordinated Shutter‑Bloom + Hydro‑Signature Veil reduces IR/RF signature spikes by >70 %. Bottom line – Extending RSA across the entire aircraft creates a self‑healing, fault‑tolerant, high‑G‑resilient platform capable of active missile neutralization, stealth‑signature masking, and rapid vertical “jump” maneuvers, all governed by the Helios DSP‑Pety AI digital spine.","url":"https://doi.org/10.5281/zenodo.21479041","authors":["lee, francis"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.21479041","addedAt":"2026-08-31T06:40:08.031Z","updatedAt":"2026-08-31T06:40:08.031Z"},{"id":"doi:10.48550/arxiv.2608.00061","name":"Reliability- and Connectivity-Constrained Age-of-Information Optimization for UAV Swarm IoT Data Collection","source":"datacite","abstract":"Uncrewed aerial vehicle~(UAV) swarms provide a flexible platform for Internet of Things~(IoT) data collection by gathering delay-sensitive measurements from distributed sensor clusters and relaying them to a fusion center. Such missions require jointly optimizing data freshness, short-packet communication reliability, and swarm connectivity, yet existing approaches typically prioritize freshness while neglecting its impact on connectivity. This paper proposes a topology-coupled urgency~(TCU) scheduler that weights each cluster's age-of-information urgency by a per-UAV connectivity score, prioritizing stale clusters while dispersing collection across the swarm, with connectivity preserved by an explicit probabilistic constraint. For each time slot, the resulting problem is a mixed-integer nonconvex program, which we solve by successive convex approximation: the binary assignments are relaxed and the finite-blocklength rate, the inter-UAV link reliability and the connectivity score are linearized together into one convex subproblem, so their coupling is retained rather than broken across alternating blocks. Integer assignments are recovered by Hungarian matching and verified against the original nonconvex constraints, while a deficit queue sustains long-run coverage without explicit long-horizon planning. Simulation results demonstrate that the proposed scheduler consistently achieves the lowest mean AoI and the highest service reliability among all baselines, reducing service failures by approximately $3.5\\times$ under nominal operating conditions. Under increasingly stringent connectivity and coverage requirements, it maintains full service while competing methods either become infeasible or fragment the swarm, demonstrating the effectiveness of jointly optimizing data freshness, communication reliability, and connectivity.","url":"https://doi.org/10.48550/arxiv.2608.00061","authors":["Bafarassat, Milad","Coleri, Sinem"],"tags":["Signal Processing (eess.SP)","FOS: Electrical engineering, electronic engineering, information engineering"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.48550/arxiv.2608.00061","addedAt":"2026-08-31T06:40:08.031Z","updatedAt":"2026-08-31T06:40:08.031Z"},{"id":"doi:10.48550/arxiv.2604.17189","name":"Shepherding UAV Swarm with Action Prediction Based on Movement Constraints","source":"datacite","abstract":"In this study, we propose a new sheepdog-inspired control method for a swarm of small unmanned aerial vehicles (UAVs), which predicts the swarm behavior while explicitly accounting for the motion constraints of real robots. Sheepdog-inspired guidance control refers to a framework in which a small number of navigator agents (sheepdog agents) indirectly drive a large number of autonomous agents (a flock of sheep agents) so as to steer the group toward a target position. In conventional studies on sheepdog-inspired guidance, both types of agents have typically been modeled as point masses, and the guidance law for the navigator agents has been designed using simple interaction vectors based on the instantaneous relative positions between the agents. However, when implementing such methods on real robots such as drones, it is necessary to consider each agent's motion constraints, including upper bounds on velocity and acceleration. Moreover, we argue that guidance can be made more efficient by predicting the future behavior of the autonomous swarm that is observable to the navigator agents. To this end, we propose a three-dimensional guidance control law based on behavior prediction of autonomous agents under motion constraints, inspired by the Dynamic Window Approach (DWA). At each control cycle, the navigator agent generates a set of feasible motion candidates that satisfy its motion constraints, and predicts the short-horizon swarm evolution using an internal model of the autonomous agents maintained within the navigator agent. The motion candidates are then evaluated according to criteria such as the progress velocity toward the target, the positioning strategy with respect to the swarm, and safety margins, and the optimal motion is selected to achieve safe and efficient guidance. Numerical simulation results demonstrate the effectiveness of the proposed guidance control law.","url":"https://doi.org/10.48550/arxiv.2604.17189","authors":["Tsunoda, Yusuke","Goto, Yusuke","Sato, Takao"],"tags":["Robotics (cs.RO)","FOS: Computer and information sciences"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.48550/arxiv.2604.17189","addedAt":"2026-08-31T06:40:08.031Z","updatedAt":"2026-08-31T06:40:08.031Z"},{"id":"doi:10.82308/25200","name":"Deep learning-based UAV-assisted multi-user massive MIMO for enhanced coverage and capacity","source":"datacite","abstract":"Cette thèse examine l'utilisation des véhicules aériens sans pilote (UAV), communément appelés drones, dans les réseaux de communication Internet des objets (IoT) à entrées multiples et sorties multiples massives (mMIMO). En particulier, nous explorons un scénario complexe où un UAV agit comme un relais de décodage et de retransmission (DF) entre une station de base (BS) et divers utilisateurs IoT distants. En raison de blocages sévères, la station de base n’a pas d’accès direct aux utilisateurs IoT, et le seul moyen de communication entre la station de base et les utilisateurs IoT est l’UAV. Nous utilisons une architecture de formation de faisceaux hybride (HBF), composée d’un étage radiofréquence (RF) et d’un étage de bande de base (BB), pour surmonter l’atténuation importante dans le modèle de canal à ondes millimétriques (mmWave), considéré pour les deux liaisons. Plus précisément, notre objectif est de maximiser le débit total réalisable (AR) de la station de base vers les utilisateurs IoT. À cette fin, nous considérons diverses solutions basées sur l'apprentissage profond (DL) pour trouver des solutions quasi-optimales au problème d'optimisation de l'emplacement de l'UAV et de l'allocation de puissance (PA), tout en maintenant une complexité raisonnable pour les applications en temps réel. Tout d'abord, nous proposons une nouvelle approche basée sur l'apprentissage supervisé profond (DSL), à faible complexité, pour résoudre le problème conjoint d'emplacement de l'UAV et d'allocation de puissance (PA). La solution proposée comprend deux phases principales : (1) une phase d'apprentissage supervisé hors ligne et (2) une phase de prédiction en ligne de l'emplacement de l'UAV et de l'allocation de puissance. Lors de la phase hors ligne, un réseau neuronal profond (DNN) est entraîné à l'aide de données générées par optimisation par essaims particulaires (PSO). Les résultats numériques montrent que l'approche basée sur le DSL proposée atteint des performances similaires à la solution basée sur le PSO tout en réduisant considérablement le temps d'exécution. Deuxièmement, nous étendons la solution pour prendre en compte un environnement dynamique où les utilisateurs IoT peuvent changer leur emplacement. Pour cela, nous proposons un cadre basé sur l'apprentissage par renforcement profond (DRL), en particulier la méthode de gradient de politique déterministe profonde (DDPG) avec un espace d'actions continu, pour le déploiement de l'UAV dans des environnements dynamiques et statiques. Les résultats montrent que le déploiement d'UAV basé sur le DDPG atteint des performances comparables à la solution basée sur le PSO tout en réduisant significativement le temps d'exécution. De plus, les résultats révèlent que la solution basée sur le DSL est moins efficace dans des scénarios dynamiques et complexes.Troisièmement, pour simplifier davantage la solution dans des environnements dynamiques, nous proposons une méthode de déploiement d'UAV basée sur un codebook DDPG à faible complexité, qui fonctionne en deux phases : (1) une phase d'entraînement d'agent hors ligne et (2) une phase de déploiement d'UAV en ligne. Les résultats montrent que cette approche basée sur un codebook réduit le temps d'exécution de la solution standard basée sur le DDPG tout en maintenant des performances quasi-optimales. En outre, nous démontrons que le déploiement de plusieurs UAV peut améliorer la couverture et la capacité du réseau, permettant de prendre en charge un plus grand nombre d'utilisateurs IoT","url":"https://doi.org/10.82308/25200","authors":["Ghadaksaz, Mohammadmahdi"],"tags":["Electrical and Computer Engineering"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.82308/25200","addedAt":"2026-08-31T06:40:08.031Z","updatedAt":"2026-08-31T06:40:08.031Z"},{"id":"doi:10.6084/m9.figshare.30934004","name":"Replication Package for \"How to Break a Swarm: Search-based Robustness Testing of Decentralized UAV Swarms\"","source":"datacite","abstract":"This file provides code and data for replication of results presented in the paper. A detailed \"readme\" is included.This is the de-anonymized version prepared for artifact review.","url":"https://doi.org/10.6084/m9.figshare.30934004","authors":["David Marson","Alexander Pretschner"],"tags":["Software testing, verification and validation"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.6084/m9.figshare.30934004","addedAt":"2026-08-31T06:40:08.031Z","updatedAt":"2026-08-31T06:40:08.031Z"},{"id":"doi:10.6084/m9.figshare.30934004.v1","name":"Replication Package for \"How to Break a Swarm: Search-based Robustness Testing of Decentralized UAV Swarms\"","source":"datacite","abstract":"This file provides code and data for replication of results presented in the paper. A detailed \"readme\" is included.This is the de-anonymized version prepared for artifact review.","url":"https://doi.org/10.6084/m9.figshare.30934004.v1","authors":["David Marson","Alexander Pretschner"],"tags":["Software testing, verification and validation"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.6084/m9.figshare.30934004.v1","addedAt":"2026-08-31T06:40:08.031Z","updatedAt":"2026-08-31T06:40:08.031Z"},{"id":"doi:10.48550/arxiv.2607.24895","name":"Formalization and quantitative metrics for functional stability of edge computing systems","source":"datacite","abstract":"Edge computing systems operate in conditions where component failures, intermittent backhaul connectivity, resource exhaustion and adversarial disturbances are part of the normal operating envelope rather than rare events. Classical reliability and fault-tolerance models, oriented toward monolithic systems and binary working/failed states, do not capture the differentiated quality requirements of services co-located on a resource-constrained edge node. This article proposes a formal framework of functional stability that shifts the unit of analysis from the system to the individual function. Strong and weak forms of stability are defined through a continuous quality function and per-function quality thresholds. A system of base parameters (disturbance tolerance, recovery time, degradation depth, admissible degradation) and aggregate metrics (cumulative quality, functional availability, integral stability) is introduced and connected to the formal definitions by nine theorems. The framework is instantiated for edge computing scenarios and illustrated through two analytical case studies: a UAV swarm and an edge AI inference service with cloud fallback. The proposed metrics distinguish architectural alternatives that classical availability cannot separate and expose the dependence of architectural ranking on the explicitly selected disturbance-class set.","url":"https://doi.org/10.48550/arxiv.2607.24895","authors":["Bychkov, Oleksii S."],"tags":["Hardware Architecture (cs.AR)","FOS: Computer and information sciences"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.48550/arxiv.2607.24895","addedAt":"2026-08-31T06:40:08.031Z","updatedAt":"2026-08-31T06:40:08.031Z"},{"id":"doi:10.20944/preprints202506.0330.v1","name":"A Comprehensive Review of Aerial Robots for Search and Rescue Operations","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202506.0330.v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.20944/preprints202506.0330.v1","addedAt":"2026-08-31T06:40:08.031Z","updatedAt":"2026-08-31T06:40:08.031Z"},{"id":"doi:10.20944/preprints202504.0710.v1","name":"Research on Advancing Radio Wave Source Localization  Technology Through UAV Path Optimization","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202504.0710.v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.20944/preprints202504.0710.v1","addedAt":"2026-08-31T06:40:08.031Z","updatedAt":"2026-08-31T06:40:08.031Z"},{"id":"doi:10.20944/preprints202504.0621.v1","name":"Drone-3D Printing Linkage for Rapid Construction of Sustainable Post-Disaster Temporary Shelters","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202504.0621.v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.20944/preprints202504.0621.v1","addedAt":"2026-08-31T06:40:08.031Z","updatedAt":"2026-08-31T06:40:08.031Z"},{"id":"doi:10.20944/preprints202502.0436.v1","name":"Forest Fire Monitoring UAV System Using Forest PSO-GA Algorithm","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202502.0436.v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.20944/preprints202502.0436.v1","addedAt":"2026-08-31T06:40:08.031Z","updatedAt":"2026-08-31T06:40:08.031Z"},{"id":"doi:10.21203/rs.3.rs-4144325/v1","name":"An Optimization Method for Accelerating UAV Trajectory Planning","source":"europepmc","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-4144325/v1","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.21203/rs.3.rs-4144325/v1","addedAt":"2026-08-31T06:40:08.031Z","updatedAt":"2026-08-31T06:40:09.764Z"},{"id":"doi:10.21203/rs.3.rs-5739312/v1","name":"Research on safe path planning for unmanned aerial vehicles based on an Improved Pied Kingfisher Optimization Algorithm","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-5739312/v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.21203/rs.3.rs-5739312/v1","addedAt":"2026-08-31T06:40:08.031Z","updatedAt":"2026-08-31T06:40:08.031Z"},{"id":"doi:10.22541/au.172906784.48776529/v1","name":"Adaptive GPS Spoofing Detection and Mitigation Strategy using Blockchain and Machine Learning for Networked Drones","source":"europepmc","abstract":"","url":"https://doi.org/10.22541/au.172906784.48776529/v1","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.22541/au.172906784.48776529/v1","addedAt":"2026-08-31T06:40:08.031Z","updatedAt":"2026-08-31T06:40:09.764Z"},{"id":"doi:10.21203/rs.3.rs-4002745/v1","name":"Research on UAV-NOMA communication system based on improved grey wolf optimization algorithm","source":"europepmc","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-4002745/v1","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.21203/rs.3.rs-4002745/v1","addedAt":"2026-08-31T06:40:08.031Z","updatedAt":"2026-08-31T06:40:09.764Z"},{"id":"doi:10.21203/rs.3.rs-3295312/v1","name":"A clustering algorithm for UV-cooperative UAV network in dynamic scenarios","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-3295312/v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2023","doi":"10.21203/rs.3.rs-3295312/v1","addedAt":"2026-08-31T06:40:08.031Z","updatedAt":"2026-08-31T06:40:08.031Z"},{"id":"doi:10.21203/rs.3.rs-3132087/v1","name":"Reactive Handover Coordination System with Regenerative Blockchain Principles for Swarm Unmanned Aerial Vehicles","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-3132087/v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2023","doi":"10.21203/rs.3.rs-3132087/v1","addedAt":"2026-08-31T06:40:08.031Z","updatedAt":"2026-08-31T06:40:08.031Z"},{"id":"doi:10.21203/rs.3.rs-3942682/v1","name":"Dynamic Q-planning for Online UAV Path Planning in Unknown and Complex Environments","source":"europepmc","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-3942682/v1","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.21203/rs.3.rs-3942682/v1","addedAt":"2026-08-31T06:40:08.031Z","updatedAt":"2026-08-31T06:40:09.764Z"},{"id":"doi:10.20944/preprints202309.1031.v1","name":"Dynamic Models Identification for Kinematics and Energy Consumption of Rotary-Wing UAV during Different Flight States","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202309.1031.v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2023","doi":"10.20944/preprints202309.1031.v1","addedAt":"2026-08-31T06:40:08.031Z","updatedAt":"2026-08-31T06:40:08.031Z"},{"id":"doi:10.21203/rs.3.rs-3348357/v1","name":"Collective Behavior based Slime Mold Optimization with application to UAV Energy conversion device analysis","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-3348357/v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2023","doi":"10.21203/rs.3.rs-3348357/v1","addedAt":"2026-08-31T06:40:08.031Z","updatedAt":"2026-08-31T06:40:08.031Z"},{"id":"doi:10.20944/preprints202309.0002.v1","name":"Distributed Robust Formation Tracking Control for Quadrotor UAVs with Unknown Parameters and Uncertain Disturbances","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202309.0002.v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2023","doi":"10.20944/preprints202309.0002.v1","addedAt":"2026-08-31T06:40:08.031Z","updatedAt":"2026-08-31T06:40:08.031Z"},{"id":"doi:10.22541/au.168899073.37005076/v1","name":"Multi-UAV cooperative air combat target assignment method based on VNS-IBPSO algorithm in complex dynamic environment","source":"preprints","abstract":"","url":"https://doi.org/10.22541/au.168899073.37005076/v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2023","doi":"10.22541/au.168899073.37005076/v1","addedAt":"2026-08-31T06:40:08.031Z","updatedAt":"2026-08-31T06:40:08.031Z"},{"id":"doi:10.21203/rs.3.rs-2189287/v1","name":"Precoding-based Complex Field Network Coding Strategy for Multi-Source UAV Cooperative System","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-2189287/v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2022","doi":"10.21203/rs.3.rs-2189287/v1","addedAt":"2026-08-31T06:40:08.031Z","updatedAt":"2026-08-31T06:40:08.031Z"},{"id":"doi:10.21203/rs.3.rs-1854988/v1","name":"Learning to Optimise a Swarm of UAVs","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-1854988/v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2022","doi":"10.21203/rs.3.rs-1854988/v1","addedAt":"2026-08-31T06:40:08.031Z","updatedAt":"2026-08-31T06:40:08.031Z"},{"id":"doi:10.21203/rs.3.rs-1793804/v1","name":"Coding-Elite Particle Swarm Optimization Searching of Moving Targets by UAVs","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-1793804/v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2022","doi":"10.21203/rs.3.rs-1793804/v1","addedAt":"2026-08-31T06:40:08.031Z","updatedAt":"2026-08-31T06:40:08.031Z"},{"id":"doi:10.22541/au.164972846.69072550/v1","name":"A Modified Portable Health Clinic System for Coronavirus Hotspot Areas","source":"preprints","abstract":"","url":"https://doi.org/10.22541/au.164972846.69072550/v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2022","doi":"10.22541/au.164972846.69072550/v1","addedAt":"2026-08-31T06:40:08.031Z","updatedAt":"2026-08-31T06:40:08.031Z"},{"id":"doi:10.21203/rs.3.rs-1817153/v1","name":"Coding-Elite Particle Swarm Optimization Searching of Moving Targets by UAVs","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-1817153/v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2022","doi":"10.21203/rs.3.rs-1817153/v1","addedAt":"2026-08-31T06:40:08.031Z","updatedAt":"2026-08-31T06:40:08.031Z"},{"id":"doi:10.21203/rs.3.rs-885685/v1","name":"Simulation of Data Losses, Nonlinearity and Modulation Impact in RPAS/UAV Swarms","source":"preprints","abstract":"","url":"https://doi.org/10.21203/rs.3.rs-885685/v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2021","doi":"10.21203/rs.3.rs-885685/v1","addedAt":"2026-08-31T06:40:08.031Z","updatedAt":"2026-08-31T06:40:08.031Z"},{"id":"doi:10.2139/ssrn.4603882","name":"Artificial Intelligence and Machine Learning Technologies: Innovative solutions to combat Covid-19 and maintain public health","source":"preprints","abstract":"","url":"https://doi.org/10.2139/ssrn.4603882","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2023","doi":"10.2139/ssrn.4603882","addedAt":"2026-08-31T06:40:08.031Z","updatedAt":"2026-08-31T06:40:08.031Z"},{"id":"doi:10.20944/preprints202008.0581.v1","name":"Intelligent UAV Deployment for a Disaster Resilient Wireless Network","source":"preprints","abstract":"","url":"https://doi.org/10.20944/preprints202008.0581.v1","authors":[],"tags":[],"confidence":0.74,"sites":["low-altitude"],"publishedDate":"2020","doi":"10.20944/preprints202008.0581.v1","addedAt":"2026-08-31T06:40:08.031Z","updatedAt":"2026-08-31T06:40:08.031Z"},{"id":"doi:10.1109/siu61531.2024.10600777","name":"Autonomous TDOA Localization via Swarm UAV Concept","source":"crossref","abstract":"","url":"https://doi.org/10.1109/siu61531.2024.10600777","authors":["Atakan Yiğit","Ali Osman Kalaycý","Eren Akdemir"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-07-23T17:57:31Z","doi":"10.1109/siu61531.2024.10600777","addedAt":"2026-08-31T06:40:09.763Z","updatedAt":"2026-08-31T06:40:09.896Z"},{"id":"doi:10.1109/cec60901.2024.10611795","name":"Heterogeneous UAV Swarm Task Allocation via Hierarchy Tolerance Pigeon-Inspired Optimization","source":"crossref","abstract":"","url":"https://doi.org/10.1109/cec60901.2024.10611795","authors":["Zhiqiang Zheng","Haibin Duan","Yongbin Sun"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-08-08T17:55:15Z","doi":"10.1109/cec60901.2024.10611795","addedAt":"2026-08-31T06:40:09.763Z","updatedAt":"2026-08-31T06:40:09.896Z"},{"id":"doi:10.1109/icdsca63855.2024.10860190","name":"A Micro-Doppler Analysis for Radar-Based UAV Swarm Detection","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icdsca63855.2024.10860190","authors":["Ziquan Zhang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-02-06T18:32:46Z","doi":"10.1109/icdsca63855.2024.10860190","addedAt":"2026-08-31T06:40:09.763Z","updatedAt":"2026-08-31T06:40:09.896Z"},{"id":"doi:10.23919/ccc63176.2024.10661693","name":"UAV path planning algorithm based on Global Optimal Solution Tracking Enhanced Particle Swarm Optimization","source":"crossref","abstract":"","url":"https://doi.org/10.23919/ccc63176.2024.10661693","authors":["Le Han","Hui Zhang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-09-17T18:46:36Z","doi":"10.23919/ccc63176.2024.10661693","addedAt":"2026-08-31T06:40:09.763Z","updatedAt":"2026-08-31T06:40:09.896Z"},{"id":"doi:10.1007/978-981-97-3340-8_30","name":"UAV Formation Cooperative Control Based on Consistency Theory","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-981-97-3340-8_30","authors":["Mengding Liu","Haihong Chi"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-07-11T08:02:28Z","doi":"10.1007/978-981-97-3340-8_30","addedAt":"2026-08-31T06:40:09.763Z","updatedAt":"2026-08-31T06:40:09.896Z"},{"id":"doi:10.1016/j.comnet.2024.110602","name":"DTPBFT:A dynamic and highly trusted blockchain consensus algorithm for UAV swarm","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.comnet.2024.110602","authors":["Pengbin Han","Xinfeng Wu","Aina Sui"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-06-13T12:56:15Z","doi":"10.1016/j.comnet.2024.110602","addedAt":"2026-08-31T06:40:09.763Z","updatedAt":"2026-08-31T06:40:09.896Z"},{"id":"doi:10.1109/isctis63324.2024.10699093","name":"Multi-UAV task allocation based on improved particle swarm optimization","source":"crossref","abstract":"","url":"https://doi.org/10.1109/isctis63324.2024.10699093","authors":["Fanjun Meng","Keding Yan"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-10-04T17:33:11Z","doi":"10.1109/isctis63324.2024.10699093","addedAt":"2026-08-31T06:40:09.763Z","updatedAt":"2026-08-31T06:40:09.896Z"},{"id":"doi:10.32620/reks.2024.1.14","name":"Deployment of a UAV swarm-based LiFi network in the obstacle-ridden environment: algorithms of finding the path for UAV placement","source":"crossref","abstract":"The subject of this study is unmanned aerial vehicle (UAV)-based wireless networks in an obstacle-ridden environment. The aim of this study is to develop methods and software to ensure reliable LiFi communication using swarm UAVs in an obstacle-ridden environment. The objectives are as follows: 1) to describe the problem of providing a reliable UAV swarm-based LiFi network, requirements for the composition and use of UAVs, and assumptions; 2) to develop the methodology for solving research tasks; 3) to develop the method and algorithms for solving the problem, considering the requirements, assumptions, and practical limitations; 4) to explore the algorithms by developing software for modeling and searching for rational UAV placement to ensure the required UAV-based LiFi network characteristics; 5) to provide experiments and illustrative examples of the developed tool’s application. The following results were obtained. 1) The requirements for the composition and use of UAVs for creating LiFi networks, as well as assumptions and limitations for the methodology development and research task solving. 2) An obstacle avoidance method using the left and right angles algorithm. 3) A method for obstacle avoidance using the controlled waterfall algorithm. 4) A software tool for modeling and searching for rational UAV placement to ensure the required LiFi network characteristics. The tool allows route construction under obstacles in 2D space and a comparison of the developed algorithms for various variants of obstacle placement. Conclusions. The main contribution of this research is a set of methods, algorithms, and software tools for providing communications between two points using LiFi technologies and a swarm of UAVs supporting these communications as transmitters in conditions of mechanical obstacles.","url":"https://doi.org/10.32620/reks.2024.1.14","authors":["Kyrylo Leichenko","Herman Fesenko","Vyacheslav Kharchenko","Oleg Illiashenko"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-04-06T08:28:57Z","doi":"10.32620/reks.2024.1.14","addedAt":"2026-08-31T06:40:09.763Z","updatedAt":"2026-08-31T06:40:09.896Z"},{"id":"doi:10.1109/bigdata62323.2024.10825165","name":"Placement of Swarm UAV for Data Collection: A Deep Reinforcement Learning Approach","source":"crossref","abstract":"","url":"https://doi.org/10.1109/bigdata62323.2024.10825165","authors":["Aswini Ghosh","Nelson Sharma","Rajiv Misra"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-01-16T18:31:23Z","doi":"10.1109/bigdata62323.2024.10825165","addedAt":"2026-08-31T06:40:09.763Z","updatedAt":"2026-08-31T06:40:09.896Z"},{"id":"doi:10.1109/icairc64177.2024.10900006","name":"UAV swarm network service classification based on multi-target threat assessment","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icairc64177.2024.10900006","authors":["Yang Gao","Qi Jia"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-03-04T18:39:08Z","doi":"10.1109/icairc64177.2024.10900006","addedAt":"2026-08-31T06:40:09.763Z","updatedAt":"2026-08-31T06:40:09.763Z"},{"id":"doi:10.1007/978-981-97-3340-8_31","name":"Low-Light Image Enhancement Method for Consistency Judgment of Multi-view Multi-target for UAV Swarm","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-981-97-3340-8_31","authors":["WeiXue Li","Chuang Song","MingRui Hao","Hang Zhang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-07-11T08:02:28Z","doi":"10.1007/978-981-97-3340-8_31","addedAt":"2026-08-31T06:40:09.763Z","updatedAt":"2026-08-31T06:40:09.896Z"},{"id":"doi:10.1007/978-981-97-3340-8_8","name":"Review of Maneuvering Strategies in the Level Flight Section of UAV","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-981-97-3340-8_8","authors":["Wendi Sun","Mingrui Hao"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-07-11T08:02:28Z","doi":"10.1007/978-981-97-3340-8_8","addedAt":"2026-08-31T06:40:09.763Z","updatedAt":"2026-08-31T06:40:09.896Z"},{"id":"doi:10.1007/978-981-97-7181-3_37","name":"Multi-UAV Collaborative Detection Based on Reinforcement Learning","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-981-97-7181-3_37","authors":["Yuanhui Hao","Chubing Guo","Liangjun Ke"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-08-22T04:37:21Z","doi":"10.1007/978-981-97-7181-3_37","addedAt":"2026-08-31T06:40:09.763Z","updatedAt":"2026-08-31T06:40:09.763Z"},{"id":"doi:10.1016/j.aej.2024.05.029","name":"A Proximal Policy Optimization method in UAV swarm formation control","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.aej.2024.05.029","authors":["Ning Yu","Juan Feng","Hongwei Zhao"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-05-22T17:09:28Z","doi":"10.1016/j.aej.2024.05.029","addedAt":"2026-08-31T06:40:09.763Z","updatedAt":"2026-08-31T06:40:09.763Z"},{"id":"doi:10.1109/icairc64177.2024.10900063","name":"An Improved Particle Swarm Algorithm for UAV 3D Path Planning","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icairc64177.2024.10900063","authors":["Jiarun Zheng","Xiaoming Wu","Tong Li"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-03-04T18:39:08Z","doi":"10.1109/icairc64177.2024.10900063","addedAt":"2026-08-31T06:40:09.763Z","updatedAt":"2026-08-31T06:40:09.763Z"},{"id":"doi:10.1109/isctech63666.2024.10845580","name":"UAV Swarm Routing Communication Method Based on Improved AODV Protocol","source":"crossref","abstract":"","url":"https://doi.org/10.1109/isctech63666.2024.10845580","authors":["Jiayang Yu","Huahui Yi","Yuzhen Chen"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-01-22T18:47:22Z","doi":"10.1109/isctech63666.2024.10845580","addedAt":"2026-08-31T06:40:09.763Z","updatedAt":"2026-08-31T06:40:09.763Z"},{"id":"doi:10.1109/aicit62434.2024.10730156","name":"A Target Tracking Method Based on Multi Nonlinear Filter Fusion for UAV Swarm","source":"crossref","abstract":"","url":"https://doi.org/10.1109/aicit62434.2024.10730156","authors":["Zhenzhen Fan"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-10-30T17:45:02Z","doi":"10.1109/aicit62434.2024.10730156","addedAt":"2026-08-31T06:40:09.763Z","updatedAt":"2026-08-31T06:40:09.763Z"},{"id":"doi:10.31577/cai_2024_4_874","name":"Intelligent Route Planning Method for UAV Based on Swarm Intelligence and Deep Learning Technology","source":"crossref","abstract":"","url":"https://doi.org/10.31577/cai_2024_4_874","authors":["Jian Yang","Xuejun Huang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-09-03T09:06:24Z","doi":"10.31577/cai_2024_4_874","addedAt":"2026-08-31T06:40:09.763Z","updatedAt":"2026-08-31T06:40:09.763Z"},{"id":"doi:10.1007/978-981-97-3328-6_57","name":"Consensus-Based Aggregation Control and Formation Tracking Control for Fixed-Wing UAV Swarm System","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-981-97-3328-6_57","authors":["Ze Hao","Jianglong Yu","Yang Chen","Yangxiu Hu","Xiwang Dong","Zhang Ren"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-06-14T19:01:29Z","doi":"10.1007/978-981-97-3328-6_57","addedAt":"2026-08-31T06:40:09.763Z","updatedAt":"2026-08-31T06:40:09.896Z"},{"id":"doi:10.1109/cac63892.2024.10864730","name":"Obstacle Avoidance for UAV Swarm Based on Pigeon Flock Dynamic Interaction Mechanism","source":"crossref","abstract":"","url":"https://doi.org/10.1109/cac63892.2024.10864730","authors":["Lin Xie","Xiangyin Zhang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-02-13T18:29:08Z","doi":"10.1109/cac63892.2024.10864730","addedAt":"2026-08-31T06:40:09.763Z","updatedAt":"2026-08-31T06:40:09.763Z"},{"id":"doi:10.1007/978-981-97-3332-3_51","name":"Robust Multi-UAV System Collaboration under Limited Perception","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-981-97-3332-3_51","authors":["Xue Guo","He Wang","Wenwu Yu"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-06-17T19:02:28Z","doi":"10.1007/978-981-97-3332-3_51","addedAt":"2026-08-31T06:40:09.763Z","updatedAt":"2026-08-31T06:40:09.896Z"},{"id":"doi:10.1117/12.3032621","name":"Coverage-based cooperative searching method for UAV swarm under multisensor errors","source":"crossref","abstract":"","url":"https://doi.org/10.1117/12.3032621","authors":["yanlong Leng","tao Song","hong Tao","fan Li","zhiyuan Zhang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-08-17T04:47:15Z","doi":"10.1117/12.3032621","addedAt":"2026-08-31T06:40:09.763Z","updatedAt":"2026-08-31T06:40:09.763Z"},{"id":"doi:10.1109/piers62282.2024.10618771","name":"Intelligent Decision-making Algorithm for Anti-UAV Swarm Based on Convolutional Neural Networks","source":"crossref","abstract":"","url":"https://doi.org/10.1109/piers62282.2024.10618771","authors":["Xuezhang Sun","Chenguang Shi","Jianjiang Zhou"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-08-09T17:18:24Z","doi":"10.1109/piers62282.2024.10618771","addedAt":"2026-08-31T06:40:09.763Z","updatedAt":"2026-08-31T06:40:09.763Z"},{"id":"doi:10.1109/iccworkshops59551.2024.10615342","name":"Knowledge Distillation-Based Robust UAV Swarm Communication Under Malicious Attacks","source":"crossref","abstract":"","url":"https://doi.org/10.1109/iccworkshops59551.2024.10615342","authors":["Qirui Wu","Yirun Zhang","Zhaohui Yang","Mohammad Shikh-Bahaei"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-08-12T17:23:42Z","doi":"10.1109/iccworkshops59551.2024.10615342","addedAt":"2026-08-31T06:40:09.763Z","updatedAt":"2026-08-31T06:40:09.763Z"},{"id":"doi:10.1145/3661725.3661763","name":"Graph Transformer Aided Resource Virtualization Embedding in UAV Swarm Networks","source":"crossref","abstract":"","url":"https://doi.org/10.1145/3661725.3661763","authors":["Chao Zhang","Haipeng Yao","Tianle Mai"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-06-20T06:22:44Z","doi":"10.1145/3661725.3661763","addedAt":"2026-08-31T06:40:09.763Z","updatedAt":"2026-08-31T06:40:09.763Z"},{"id":"doi:10.1007/978-981-97-3328-6_34","name":"An Improved Dynamic Matrix Control for the Quadrotor UAV Trajectory Tracking","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-981-97-3328-6_34","authors":["Wei Wei","Wei Li","Min Zuo"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-06-14T19:01:29Z","doi":"10.1007/978-981-97-3328-6_34","addedAt":"2026-08-31T06:40:09.763Z","updatedAt":"2026-08-31T06:40:09.763Z"},{"id":"doi:10.2139/ssrn.4762094","name":"Graph-Based Multi-Agent Reinforcement Learning for Large-Scale Fixed-Wing Uav Swarm System Control","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.4762094","authors":["Bocheng Zhao","Mingying Huo","Zheng Li","Ze Yu","Naiming Qi"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-03-16T23:17:55Z","doi":"10.2139/ssrn.4762094","addedAt":"2026-08-31T06:40:09.763Z","updatedAt":"2026-08-31T06:40:09.896Z"},{"id":"doi:10.1109/iccc62609.2024.10942192","name":"Modeling the Dynamic Network for Determined Communication of UAV Swarm","source":"crossref","abstract":"","url":"https://doi.org/10.1109/iccc62609.2024.10942192","authors":["Qin Chen","Jia Luo","Hongcheng Yan","Wenjie Ma","Yong Xu"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-04-03T00:01:20Z","doi":"10.1109/iccc62609.2024.10942192","addedAt":"2026-08-31T06:40:09.763Z","updatedAt":"2026-08-31T06:40:09.763Z"},{"id":"doi:10.23919/ccc63176.2024.10662244","name":"Research on the strategy of UAV swarm collaborative hunting of black flights","source":"crossref","abstract":"","url":"https://doi.org/10.23919/ccc63176.2024.10662244","authors":["Jinhui Chen","Chuang Zhan","Jiangbo Cheng","Fujia Sun"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-09-17T18:46:36Z","doi":"10.23919/ccc63176.2024.10662244","addedAt":"2026-08-31T06:40:09.763Z","updatedAt":"2026-08-31T06:40:09.763Z"},{"id":"doi:10.1117/12.3032549","name":"UAV swarm confrontation intelligent decision-making technology review","source":"crossref","abstract":"","url":"https://doi.org/10.1117/12.3032549","authors":["Runze He","Di Wu","Tao Hu","Tengda Huang","Zhifu Tain","Wenjie Deng","Haochen Gong"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-08-17T04:47:11Z","doi":"10.1117/12.3032549","addedAt":"2026-08-31T06:40:09.763Z","updatedAt":"2026-08-31T06:40:09.763Z"},{"id":"doi:10.1109/cipae64326.2024.00012","name":"Analysis of Command Efficiency for UAV Defense Swarm Based on Informationized Environment","source":"crossref","abstract":"","url":"https://doi.org/10.1109/cipae64326.2024.00012","authors":["Jinzhao Pan","Chengjun Xun","Yun Xu"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-12-18T19:24:36Z","doi":"10.1109/cipae64326.2024.00012","addedAt":"2026-08-31T06:40:09.763Z","updatedAt":"2026-08-31T06:40:09.763Z"},{"id":"doi:10.1109/icuas60882.2024.10557022","name":"Energy-Efficient Path-Planning for UAV Swarm Based Missions: A Genetic Algorithm Approach","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icuas60882.2024.10557022","authors":["Georgios P. Kladis","Lefteris Doitsidis","Nikos C. Tsourveloudis"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-06-19T17:22:59Z","doi":"10.1109/icuas60882.2024.10557022","addedAt":"2026-08-31T06:40:09.763Z","updatedAt":"2026-08-31T06:40:09.763Z"},{"id":"doi:10.1109/eiecc64539.2024.10929518","name":"Fusion of Deep Learning and Adaptive Networking for UAV Swarm Communication Performance Optimization","source":"crossref","abstract":"","url":"https://doi.org/10.1109/eiecc64539.2024.10929518","authors":["Yihang Huang","Ting Song"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-03-26T06:38:40Z","doi":"10.1109/eiecc64539.2024.10929518","addedAt":"2026-08-31T06:40:09.763Z","updatedAt":"2026-08-31T06:40:09.763Z"},{"id":"doi:10.1145/3674558.3674603","name":"Improving the survivability of a reconnaissance UAV swarm based on cellular automata","source":"crossref","abstract":"","url":"https://doi.org/10.1145/3674558.3674603","authors":["Volodymyr O. Samburskyi","Eugene V. Malakhov"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-08-26T12:26:16Z","doi":"10.1145/3674558.3674603","addedAt":"2026-08-31T06:40:09.763Z","updatedAt":"2026-08-31T06:40:09.763Z"},{"id":"doi:10.1109/icoin59985.2024.10572185","name":"DRL-Based Distributed Joint Serving and Charging Scheduling for UAV Swarm","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icoin59985.2024.10572185","authors":["Hsiao-Chi Chen","Li-Hsing Yen"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-07-03T17:25:55Z","doi":"10.1109/icoin59985.2024.10572185","addedAt":"2026-08-31T06:40:09.763Z","updatedAt":"2026-08-31T06:40:09.763Z"},{"id":"doi:10.1145/3707292.3707365","name":"Research on Operational Effectiveness Evaluation of Intelligent UAV Swarm","source":"crossref","abstract":"","url":"https://doi.org/10.1145/3707292.3707365","authors":["Jing Ma","Yang Bai","Chuangbo Hao"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-01-31T12:16:01Z","doi":"10.1145/3707292.3707365","addedAt":"2026-08-31T06:40:09.763Z","updatedAt":"2026-08-31T06:40:09.763Z"},{"id":"doi:10.1109/iccais63750.2024.10814507","name":"Geometrically-Informed Particle Filters for UAV Swarm Tracking","source":"crossref","abstract":"","url":"https://doi.org/10.1109/iccais63750.2024.10814507","authors":["Tharani Rajapaksha","Amirali Khodadadian Gostar","Alireza Bab-Hadiashar","Reza Hoseinnezhad"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-12-31T19:22:47Z","doi":"10.1109/iccais63750.2024.10814507","addedAt":"2026-08-31T06:40:09.763Z","updatedAt":"2026-08-31T06:40:09.763Z"},{"id":"doi:10.30837/2522-9818.2024.4.059","name":"Uav urban mobility control: swarm intelligence and collision avoidance","source":"crossref","abstract":"Subject matter: Intelligent management of traffic flows in urban environments using swarm intelligence principles and collision avoidance algorithms to ensure safe and efficient urban mobility. Special attention is given to the management of unmanned vehicles and drones. Goal: To develop and analyze an approach to managing urban mobility that combines swarm intelligence principles and collision avoidance algorithms to optimize traffic flows, improve traffic safety, and reduce the number of accidents. Tasks: Investigate the safety and efficiency problems of urban transportation in the context of growing urbanization; develop a model that integrates swarm intelligence and collision avoidance algorithms for managing the movement of unmanned vehicles; conduct a series of experiments to test the effectiveness of the proposed approach; analyze the results of the experiments and determine the potential for improving urban mobility and ensuring road safety. Methods: Mathematical modeling of traffic flows using the swarm intelligence algorithm to coordinate the movement of unmanned vehicles and avoid collisions. Results: The proposed urban mobility management algorithm has demonstrated the ability to improve traffic flows, reduce the risk of collisions, and increase overall road safety. The results of the experiments confirmed the effectiveness of using swarm intelligence for coordination vehicles and collision avoidance algorithms to prevent accidents.","url":"https://doi.org/10.30837/2522-9818.2024.4.059","authors":["Maksym Yena"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-12-13T14:49:21Z","doi":"10.30837/2522-9818.2024.4.059","addedAt":"2026-08-31T06:40:09.763Z","updatedAt":"2026-08-31T06:40:09.896Z"},{"id":"doi:10.1109/wcsp62071.2024.10826824","name":"Energy Efficient Image Transmission Over Semantic Communication Enabled UAV Swarm Networks","source":"crossref","abstract":"","url":"https://doi.org/10.1109/wcsp62071.2024.10826824","authors":["Yixiao Feng","Yining Wang","Bo Zhang","Huadong Dai"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-01-14T19:41:04Z","doi":"10.1109/wcsp62071.2024.10826824","addedAt":"2026-08-31T06:40:09.763Z","updatedAt":"2026-08-31T06:40:09.763Z"},{"id":"doi:10.1109/icaace61206.2024.10548528","name":"Research on Multi-UAV Logistics Distribution Model Based on Improved Particle Swarm Algorithm","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icaace61206.2024.10548528","authors":["Tianshi Liu","Yingna Duan","Minjie Hao"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-06-18T17:28:53Z","doi":"10.1109/icaace61206.2024.10548528","addedAt":"2026-08-31T06:40:09.763Z","updatedAt":"2026-08-31T06:40:09.763Z"},{"id":"doi:10.1109/ricai64321.2024.10911396","name":"Collaborative search and tracking based on dynamic map and information fusion for UAV swarm","source":"crossref","abstract":"","url":"https://doi.org/10.1109/ricai64321.2024.10911396","authors":["Yuechen Ge","Jianjun Ni"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-03-13T17:33:27Z","doi":"10.1109/ricai64321.2024.10911396","addedAt":"2026-08-31T06:40:09.763Z","updatedAt":"2026-08-31T06:40:09.763Z"},{"id":"doi:10.1109/icaace61206.2024.10549315","name":"Research on Distributed Task Allocation Algorithm for UAV Swarm Based on Evolutionary Game","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icaace61206.2024.10549315","authors":["Yansong Kong","Qiang Chang","Hongliang Wang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-06-18T17:28:53Z","doi":"10.1109/icaace61206.2024.10549315","addedAt":"2026-08-31T06:40:09.763Z","updatedAt":"2026-08-31T06:40:09.763Z"},{"id":"doi:10.1109/icsece61636.2024.10729296","name":"Research on Modeling Method of Close-Range Anti-UAV Swarm Combat Simulation","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icsece61636.2024.10729296","authors":["Cheng Fangzi","Zheng Wenrui","Xu Chengjun"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-10-29T17:28:51Z","doi":"10.1109/icsece61636.2024.10729296","addedAt":"2026-08-31T06:40:09.763Z","updatedAt":"2026-08-31T06:40:09.763Z"},{"id":"doi:10.1117/12.3038231","name":"Enhancing UAV swarm mission planning with a weighted graph attention network-based genetic algorithm","source":"crossref","abstract":"","url":"https://doi.org/10.1117/12.3038231","authors":["xin zhou"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-08-07T16:08:48Z","doi":"10.1117/12.3038231","addedAt":"2026-08-31T06:40:09.763Z","updatedAt":"2026-08-31T06:40:09.763Z"},{"id":"doi:10.1109/icuas60882.2024.10557090","name":"Collaborative Aerial 3D Printing: Leveraging UAV Flexibility and Mesh Decomposition for Aerial Swarm-Based Construction","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icuas60882.2024.10557090","authors":["Marios-Nektarios Stamatopoulos","Avijit Banerjee","George Nikolakopoulos"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-06-19T17:22:59Z","doi":"10.1109/icuas60882.2024.10557090","addedAt":"2026-08-31T06:40:09.763Z","updatedAt":"2026-08-31T06:40:09.763Z"},{"id":"doi:10.54097/hfatpk06","name":"Combat Effectiveness Evaluation of UAV Intelligent Swarm Based on AHP-Fuzzy Comprehensive Evaluation","source":"crossref","abstract":"In order to evaluate the combat effectiveness of UAV intelligent swarm, this paper puts forward the establishment of UAV intelligent swarm combat effectiveness evaluation index system based on availability, credibility and combat ability, analyzes the factors affecting the combat effectiveness of UAV intelligent swarm, establishes the effectiveness evaluation model, determines the weight of each factor by AHP, and evaluates the effectiveness index by fuzzy evaluation matrix. Using this method to evaluate the combat effectiveness of UAV intelligent swarm, the evaluation result is objective and reasonable, which provides theoretical reference for the optimal design and use of UAV intelligent swarm system.","url":"https://doi.org/10.54097/hfatpk06","authors":["Yuan Li"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-10-13T07:53:52Z","doi":"10.54097/hfatpk06","addedAt":"2026-08-31T06:40:09.763Z","updatedAt":"2026-08-31T06:40:09.763Z"},{"id":"doi:10.3233/idt-230760","name":"Cooperative multi-task assignment modeling of UAV based on particle swarm optimization","source":"crossref","abstract":"Unmanned Ariel Vehicles (UAVs) are interconnected to perform specific tasks through self-routing and air-borne communications. The problem of automated navigation and adaptive grouping of the vehicles results in improper task completion and backlogs. To address this issue, a Particle Swarm Optimization-dependent Multi-Task Assignment Model (PSO-MTAM) is introduced in this article. The swarms are initialized for the available linear groups towards the destination. This article addressed the subject of UAVs using a multi-task assignment paradigm to increase task completion rates and handling efficiency. The different swarm stages are verified for the task progression, resulting in completion at the final stage. In this completion process, the first local best solution is estimated using the completion and assignment rate of a single task. The second local best solution relies on reaching the final stage. The global solution is identified depending on the convergence of the above solutions in task progression and handling density. The swarm positions are immediately identified, and the synchronous best solutions generate the final global best. The backlog-generating solutions are revisited by reassigning or re-initializing the swarm objects. The proposed model’s performance is analyzed using task handling rate, completion ratio, processing time, and backlogs. Improving the handling rate is essential for this validation, necessitating solution and position updates from the intermediate UAVs. With varying task densities and varying degrees of convergence, the iterations continue until completion. There is an 11% increase in the task handling rate and a 12.02% increase in the completion ratio with the suggested model. It leads to a 10.84% decrease in processing time, a 9.91% decrease in backlogs, and a 12.7% decrease in convergence cost.","url":"https://doi.org/10.3233/idt-230760","authors":["Xiaoming Zhou","Kun Yang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-05-24T12:15:49Z","doi":"10.3233/idt-230760","addedAt":"2026-08-31T06:40:09.763Z","updatedAt":"2026-08-31T06:40:09.896Z"},{"id":"doi:10.32604/cmes.2024.049813","name":"A Planning Method for Operational Test of UAV Swarm Based on Mission Reliability","source":"crossref","abstract":"","url":"https://doi.org/10.32604/cmes.2024.049813","authors":["Jingyu Wang","Ping Jiang","Jianjun Qi"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-05-20T09:10:56Z","doi":"10.32604/cmes.2024.049813","addedAt":"2026-08-31T06:40:09.763Z","updatedAt":"2026-08-31T06:40:09.763Z"},{"id":"doi:10.37701/ts.05.2024.05","name":"SYNERGISTIC CONFLICT-FREE UAV SWARM MOVEMENT MODELING USING METAHEURISTIC APPROACHES","source":"crossref","abstract":"The paper considers a new synergistic conflict-free movement model for unmanned aerial vehicle (UAV) swarm on the battlefield, based on the metaheuristic approach of particle swarm optimization (PSO). The paper presents an improved algorithm that ensures effective swarm coordination, traffic safety and efficient communication between UAVs. The model is designed to be used in various combat conditions and demonstrates the ability of the swarm to adapt to dynamic changes on the battlefield and perform tasks with high efficiency. Improvements to the PSO algorithm include the addition of collision avoidance force vectors, which allows each UAV take into account the position of its neighbors and avoid conflict situations. This ensures a more stable and smoother UAV swarm movement, reducing the risk of collisions and increasing the overall effectiveness of combat missions. The model also provides for the ability to adapt to changing conditions on the battlefield, which allows the UAV swarm to respond effectively to new threats and challenges.The simulation results show that the proposed metaheuristic approach based on the improved PSO algorithm is capable of calculating suboptimal trajectories for UAV swarm, minimizing the risk of collisions and improving the overall performance of combat missions. A comparative analysis with the classical PSO algorithm has revealed the advantages of the proposed model in the context of the efficiency of coordination and safety of UAV swarm movement. These results confirm the prospects of using the developed approach to control UAV swarms in combat conditions.The proposed algorithm allows each UAV in the swarm to take into account the other UAV position and speed, which allows maintaining the optimal distance between them, reducing collision probability. This is achieved by introducing an avoidance force vector that is directed away from other UAVs. This approach allows a swarm of UAVs to act as a single organized structure, which significantly increases the efficiency of performing tasks in complex and dynamic combat conditions. In addition, the model takes into account various combat scenarios, including obstacle avoidance, target acquisition, and retreat to a safe distance. This makes the algorithm a versatile tool for managing UAV swarms in real-world combat conditions, where the speed of reaction and accuracy of task execution are crucial.","url":"https://doi.org/10.37701/ts.05.2024.05","authors":["O. Kompaniiets","I. Kliushnikov","M. Kasatkin"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-01-27T21:05:23Z","doi":"10.37701/ts.05.2024.05","addedAt":"2026-08-31T06:40:09.763Z","updatedAt":"2026-08-31T06:40:09.763Z"},{"id":"doi:10.1109/bmsb62888.2024.10608330","name":"Multi-hop Diffused Graph Convolution for Resilient UAV Swarm Networks","source":"crossref","abstract":"","url":"https://doi.org/10.1109/bmsb62888.2024.10608330","authors":["Huan Lin","Lianghui Ding","Siheng Chen","Feng Yang","Liang Qian"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-07-31T20:38:48Z","doi":"10.1109/bmsb62888.2024.10608330","addedAt":"2026-08-31T06:40:09.763Z","updatedAt":"2026-08-31T06:40:09.763Z"},{"id":"doi:10.1007/978-981-97-3328-6_27","name":"Fractional-Order Event-Triggered Formation Control for Multi-UAV Systems with Collision Avoidance","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-981-97-3328-6_27","authors":["Tiaoping Fu","Hao Xiong","Hongbin Deng","Xinglei Jiang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-06-14T19:01:29Z","doi":"10.1007/978-981-97-3328-6_27","addedAt":"2026-08-31T06:40:09.763Z","updatedAt":"2026-08-31T06:40:09.763Z"},{"id":"doi:10.1109/wcnc57260.2024.10570678","name":"Energy-Efficient UAV Swarm Assisted MEC With Dynamic Clustering and Scheduling","source":"crossref","abstract":"","url":"https://doi.org/10.1109/wcnc57260.2024.10570678","authors":["Jialiuyuan Li","Jiayuan Chen","Changyan Yi","Tong Zhang","Kun Zhu","Jun Cai"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-07-03T17:25:49Z","doi":"10.1109/wcnc57260.2024.10570678","addedAt":"2026-08-31T06:40:09.763Z","updatedAt":"2026-08-31T06:40:09.763Z"},{"id":"doi:10.54254/2755-2721/67/20240598","name":"Research on autonomous decision-making of UAV swarm based on neural network algorithm","source":"crossref","abstract":"This article focuses on typical unmanned aerial vehicle (UAV) cluster autonomous collaborative reconnaissance mission scenarios, constructs UAV classes in Matlab, and effectively constructs UAV autonomous decision-making models using two different algorithms; Using Extreme Learning Machines (ELM) and introducing neural network methods to solve autonomous decision-making problems for unmanned aerial vehicles. Test the performance of the model under multiple neural network algorithms, basically achieving unmanned aerial vehicles to complete flight targets based on multiple sensor parameters in unknown environments, using reinforcement learning algorithms to achieve autonomous decision-making of unmanned aerial vehicles, achieving multi parameter fusion (with parameters greater than 4) decision-making, with a decision-making time of less than 100ms, which can ensure timely decision-making while also considering the rationality of the model.","url":"https://doi.org/10.54254/2755-2721/67/20240598","authors":["Xin Shen"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-08-14T03:42:57Z","doi":"10.54254/2755-2721/67/20240598","addedAt":"2026-08-31T06:40:09.763Z","updatedAt":"2026-08-31T06:40:09.763Z"},{"id":"doi:10.20517/ir.2024.04","name":"Metropolis criterion pigeon-inspired optimization for multi-UAV swarm controller","source":"crossref","abstract":"This paper presents a new multiple unmanned aerial vehicle swarm controller based on Metropolis criterion. This paper presents the design of a controller, utilizing the improved Metropolis criterion pigeon-inspired optimization (IMCPIO) and proportional-integrational-derivative (PID) algorithms, and conducts comparative experiments. Simulation outcomes demonstrate the enhanced performance of the multi-unmanned aerial vehicle formation controller, which is based on IMCPIO, when compared to the basic pigeon-inspired optimization (PIO) algorithm and the genetic algorithm. The IMCPIO algorithm for the energy difference discrimination makes it a faster convergence and more stable effective optimization. Hence, the controller introduced in this study proves to be both practical and resilient.","url":"https://doi.org/10.20517/ir.2024.04","authors":["Jinghua Guan","Hongfei Cheng"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-03-08T09:22:38Z","doi":"10.20517/ir.2024.04","addedAt":"2026-08-31T06:40:09.763Z","updatedAt":"2026-08-31T06:40:09.763Z"},{"id":"doi:10.1117/12.3036589","name":"Cooperative area searching method for UAV swarm based on wolf pack intelligence","source":"crossref","abstract":"","url":"https://doi.org/10.1117/12.3036589","authors":["jinqiang hu"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-07-21T17:42:06Z","doi":"10.1117/12.3036589","addedAt":"2026-08-31T06:40:09.763Z","updatedAt":"2026-08-31T06:40:09.763Z"},{"id":"doi:10.1117/12.3049116","name":"Research on UAV formation optimization based on emergence effect of swarm intelligence","source":"crossref","abstract":"","url":"https://doi.org/10.1117/12.3049116","authors":["Lejiang Guo","Wangcheng Zhan","Fan Wu","Shijia Xu"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-11-12T18:16:20Z","doi":"10.1117/12.3049116","addedAt":"2026-08-31T06:40:09.763Z","updatedAt":"2026-08-31T06:40:09.763Z"},{"id":"doi:10.1109/iotaai62601.2024.10692576","name":"UAV 3-D Path Planning Based on Particle Swarm Optimization Algorithm in Complex Terrain","source":"crossref","abstract":"","url":"https://doi.org/10.1109/iotaai62601.2024.10692576","authors":["Mengjie Yang","PengJun Mao"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-10-02T18:15:36Z","doi":"10.1109/iotaai62601.2024.10692576","addedAt":"2026-08-31T06:40:09.763Z","updatedAt":"2026-08-31T06:40:09.763Z"},{"id":"doi:10.1109/milcom61039.2024.10773629","name":"Obstacle-Aware UAV Swarm Deployment for User Coverage Using Deep Reinforcement Learning","source":"crossref","abstract":"","url":"https://doi.org/10.1109/milcom61039.2024.10773629","authors":["Shilan He","Kyo Hyun Kim","Matthew Caesar","Jae Kim","Josh Eckhardt","Greg Kimberly"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-12-06T18:47:40Z","doi":"10.1109/milcom61039.2024.10773629","addedAt":"2026-08-31T06:40:09.763Z","updatedAt":"2026-08-31T06:40:09.763Z"},{"id":"doi:10.1109/icaace61206.2024.10549721","name":"Force Demand Planning of UAV Cluster Adversarial via Hybrid Group Swarm Optimization","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icaace61206.2024.10549721","authors":["Jingyan Zhao","Xiaoxiang Hu","Hanyu Qian","Wenjie Guo"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-06-18T17:28:53Z","doi":"10.1109/icaace61206.2024.10549721","addedAt":"2026-08-31T06:40:09.763Z","updatedAt":"2026-08-31T06:40:09.763Z"},{"id":"doi:10.1109/icpics62053.2024.10796246","name":"Model Construction and Fusion Algorithm Analysis for Defense Against Threats from UAV Swarm","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icpics62053.2024.10796246","authors":["Minkun Guo","Yun Xu","Chengjun Xu"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-12-24T19:10:01Z","doi":"10.1109/icpics62053.2024.10796246","addedAt":"2026-08-31T06:40:09.763Z","updatedAt":"2026-08-31T06:40:09.763Z"},{"id":"doi:10.1139/dsa-2023-0101","name":"Network analysis of decentralized fault-tolerant UAV swarm coordination in critical missions","source":"crossref","abstract":"Unmanned aerial vehicles (UAVs) have gained prominence across various sectors for their versatile applications. While their advantages are evident, addressing concerns associated with their deployment is essential to ensure reliability. This study presents an innovative approach for coordinating a group of UAVs in aerial survey missions. The decentralized strategy presented in this article allow UAVs to self-organize into linear formation, optimize their coverage paths, and adapt to agent failures, thereby ensuring efficient and adaptive mission execution. The strategy has been tested and validated on two different platforms: the inter-UAV communication performance is evaluated on NS-3 simulator to measure metrices such as packet delivery ratio, throughput, delay, and routing overhead within the UAV swarms, while mission efficiency and fault tolerance is analyzed on robot operating system framework, and visualized on Gazebo simulator with real-time parameters. Through experimental results, we show that, after proper tuning of control parameters, the approach succeeds in flock formation with high level of fault tolerance, offering higher efficiency in terms of mission time, transmission delay, packet delivery rate, and control overhead, when compared to the benchmark approaches.","url":"https://doi.org/10.1139/dsa-2023-0101","authors":["Indu Chandran","Kizheppatt Vipin"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-05-01T21:33:46Z","doi":"10.1139/dsa-2023-0101","addedAt":"2026-08-31T06:40:09.763Z","updatedAt":"2026-08-31T06:40:09.763Z"},{"id":"doi:10.1016/j.swevo.2024.101572","name":"A hybrid multi-objective evolutionary algorithm with high solving efficiency for UAV defense programming","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.swevo.2024.101572","authors":["Zhenzu Bai","Haiyin Zhou","Jianmai Shi","Lining Xing","Jiongqi Wang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-04-15T06:41:36Z","doi":"10.1016/j.swevo.2024.101572","addedAt":"2026-08-31T06:40:09.763Z","updatedAt":"2026-08-31T06:40:09.763Z"},{"id":"doi:10.1007/978-981-97-3332-3_21","name":"Overview of Anti-jamming Strategy for UAV Radar in Naval Battlefields","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-981-97-3332-3_21","authors":["Wen Li","Hu-cheng Pei","Guang-zhou Qu"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-06-17T19:02:28Z","doi":"10.1007/978-981-97-3332-3_21","addedAt":"2026-08-31T06:40:09.763Z","updatedAt":"2026-08-31T06:40:09.763Z"},{"id":"doi:10.1109/ictc62082.2024.10826756","name":"Beampattern Analysis of Uplink Cooperative Beamforming of UAV Swarm to LEO Satellite","source":"crossref","abstract":"","url":"https://doi.org/10.1109/ictc62082.2024.10826756","authors":["Junggon Seo","Byungha You","Haejoon Jung"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-01-14T19:40:10Z","doi":"10.1109/ictc62082.2024.10826756","addedAt":"2026-08-31T06:40:09.763Z","updatedAt":"2026-08-31T06:40:09.763Z"},{"id":"doi:10.1109/aiim64537.2024.10934531","name":"A Distributed Task Allocation Algorithm for UAV Swarm Based on Local Information","source":"crossref","abstract":"","url":"https://doi.org/10.1109/aiim64537.2024.10934531","authors":["Junfu Zhang","Chengjin Liu","Tao Liu","Shiqi Jiang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-03-27T02:21:14Z","doi":"10.1109/aiim64537.2024.10934531","addedAt":"2026-08-31T06:40:09.763Z","updatedAt":"2026-08-31T06:40:09.763Z"},{"id":"doi:10.1109/icuas60882.2024.10556825","name":"A Virtual Spring-Damper Approach for UAV Swarm Formation and Decentralised Collision Avoidance","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icuas60882.2024.10556825","authors":["Luis Mejias","Pedro Arias-Perez","Javier Melero-Deza","Pascual Campoy"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-06-19T17:22:59Z","doi":"10.1109/icuas60882.2024.10556825","addedAt":"2026-08-31T06:40:09.763Z","updatedAt":"2026-08-31T06:40:09.763Z"},{"id":"doi:10.1109/cac63892.2024.10865517","name":"Research on UAV Path Planning Based on Particle Swarm Optimization and Soft Actor-Critic","source":"crossref","abstract":"","url":"https://doi.org/10.1109/cac63892.2024.10865517","authors":["Jionghui Chen","Lisang Liu","Youyuan Zhang","Wenwei Chen","Liwei Zhang","Zhihui Lin"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-02-13T18:29:08Z","doi":"10.1109/cac63892.2024.10865517","addedAt":"2026-08-31T06:40:09.763Z","updatedAt":"2026-08-31T06:40:09.763Z"},{"id":"doi:10.36001/phme.2024.v8i1.4094","name":"Integration of Condition Information in UAV Swarm Management to increase System Availability in dynamic Environments","source":"crossref","abstract":"The approach of prognostics and health management (PHM) focuses on the real-time health assessment of a system under its actual operating condition and even extending this by the prediction of the future state based on up-to-date system information. This pursues the aim to derive more advanced maintenance or asset deployment strategies in order to keep the operation of the system safe and reliable. In this context, the outcome of a PHM system is often used as a decision support. For a high fidelity system where the actual state is considered at every timestep and a decision is executed immediately based up on this information, Reinforcement Learning (RL) becomes a tool to find an optimized solution. Therefore the paper presents a methodology that integrates health and operational data into a RL approach in order to derive immediate operational strategies for lower degradation and higher safety and reliability. The approach is evaluated on the basis of a swarm of unmanned aerial vehicles (UAVs) that performs a complete-area path-coverage (CAPC) mission. It can be shown that the integration of health information as well as environmental data describing dynamic operating conditions lead to lower degradation and result in more reliable operations of the swarm while achieving a more flexible mission performance compared to pre-divided swarm-missions. Varying states are also taken into account, which emphasises this approach to be a highly dynamic PHM system application.","url":"https://doi.org/10.36001/phme.2024.v8i1.4094","authors":["Lorenz Dingeldein"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-06-27T01:30:49Z","doi":"10.36001/phme.2024.v8i1.4094","addedAt":"2026-08-31T06:40:09.763Z","updatedAt":"2026-08-31T06:40:09.763Z"},{"id":"doi:10.1117/12.3024761","name":"Intelligent anti-jamming scheme of UAV swarm based on DQN","source":"crossref","abstract":"","url":"https://doi.org/10.1117/12.3024761","authors":["Ziye Lin"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-04-04T05:52:40Z","doi":"10.1117/12.3024761","addedAt":"2026-08-31T06:40:09.763Z","updatedAt":"2026-08-31T06:40:09.763Z"},{"id":"doi:10.1007/s00607-024-01381-z","name":"Blockchain-based entity access control scheme for ubiquitous UAV swarm tasks","source":"crossref","abstract":"","url":"https://doi.org/10.1007/s00607-024-01381-z","authors":["Hui Xie","Teng He","Shengjun Wei","Changzhen Hu"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-12-19T02:36:47Z","doi":"10.1007/s00607-024-01381-z","addedAt":"2026-08-31T06:40:09.763Z","updatedAt":"2026-08-31T06:40:09.763Z"},{"id":"doi:10.1109/icsece61636.2024.10729307","name":"Modeling and Simulation Analysis of Multi-Agent in UAV Swarm Attack and Defense Combat","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icsece61636.2024.10729307","authors":["Junqian Li","Wangxu Li","Chengjun Xu"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-10-29T17:28:51Z","doi":"10.1109/icsece61636.2024.10729307","addedAt":"2026-08-31T06:40:09.763Z","updatedAt":"2026-08-31T06:40:09.763Z"},{"id":"doi:10.3390/drones8120731","name":"UAV Swarm Rounding Strategy Based on Deep Reinforcement Learning Goal Consistency with Multi-Head Soft Attention Algorithm","source":"crossref","abstract":"Aiming at the problem of target rounding by UAV swarms in complex environments, this paper proposes a goal consistency reinforcement learning approach based on multi-head soft attention (GCMSA). Firstly, in order to make the model closer to reality, the reward function when the target is at different positions and the target escape strategy are set, respectively. Then, the Multi-head soft attention module is used to promote the information cognition of the target among the UAVs, so that the UAVs can complete the target roundup more smoothly. Finally, in the training phase, this paper introduces cognitive dissonance loss to improve the sample utilization. Simulation experiments show that GCMSA is able to obtain a higher task success rate and is significantly better than MADDPG in terms of algorithm performance.","url":"https://doi.org/10.3390/drones8120731","authors":["Zhaotian Wei","Ruixuan Wei"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-12-03T11:48:56Z","doi":"10.3390/drones8120731","addedAt":"2026-08-31T06:40:09.763Z","updatedAt":"2026-08-31T06:40:09.763Z"},{"id":"doi:10.1109/icicr61203.2024.00018","name":"Security Analysis of UAV Swarm Based on Smart Contracts","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icicr61203.2024.00018","authors":["Ximeng Xu","Jihui Xu","Ying Fu","Wenjie Tian"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-09-09T17:35:50Z","doi":"10.1109/icicr61203.2024.00018","addedAt":"2026-08-31T06:40:09.763Z","updatedAt":"2026-08-31T06:40:09.763Z"},{"id":"doi:10.1109/cvci63518.2024.10830036","name":"An Algorithm Design for Constrained Noncooperative Games and Its Application to UAV Swarm","source":"crossref","abstract":"","url":"https://doi.org/10.1109/cvci63518.2024.10830036","authors":["Rui Xue","Jun Xie","Haoyu Tian","Mingxin Kang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-01-16T18:31:24Z","doi":"10.1109/cvci63518.2024.10830036","addedAt":"2026-08-31T06:40:09.763Z","updatedAt":"2026-08-31T06:40:09.763Z"},{"id":"doi:10.1109/icma61710.2024.10632903","name":"Multi-UAV Collaborative Target Consensus Detection Using Enhanced Particle Swarm Optimization","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icma61710.2024.10632903","authors":["Xinhua Wang","Mingzhu Wei","Xiaomei Xie","Hongyu Zhang","Qianqian Huang","Dongjing Song"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-08-19T17:25:38Z","doi":"10.1109/icma61710.2024.10632903","addedAt":"2026-08-31T06:40:09.763Z","updatedAt":"2026-08-31T06:40:09.763Z"},{"id":"doi:10.1109/ispcem64498.2024.00044","name":"Evaluation and Evolution Method of Command and Control Structures in UAV Swarm Operations Based on Potential Energy","source":"crossref","abstract":"","url":"https://doi.org/10.1109/ispcem64498.2024.00044","authors":["Yujuan Huang","Yaoqin Zhu"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-02-14T18:25:13Z","doi":"10.1109/ispcem64498.2024.00044","addedAt":"2026-08-31T06:40:09.763Z","updatedAt":"2026-08-31T06:40:09.763Z"},{"id":"doi:10.1016/j.eswa.2023.122189","name":"An improved sand cat swarm optimization for moving target search by UAV","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.eswa.2023.122189","authors":["Yanbiao Niu","Xuefeng Yan","Yongzhen Wang","Yanzhao Niu"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-10-25T08:51:24Z","doi":"10.1016/j.eswa.2023.122189","addedAt":"2026-08-31T06:40:09.763Z","updatedAt":"2026-08-31T06:40:09.763Z"},{"id":"doi:10.1109/icus61736.2024.10840154","name":"Mission-Oriented Heterogeneous UAV Swarm Capability Configuration Optimization Method","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icus61736.2024.10840154","authors":["Hui Tang","Tielin Ma","Jie Wang","Lizhi Wang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-01-22T18:45:23Z","doi":"10.1109/icus61736.2024.10840154","addedAt":"2026-08-31T06:40:09.763Z","updatedAt":"2026-08-31T06:40:09.763Z"},{"id":"doi:10.1007/978-981-97-3328-6_22","name":"Safety Assurance in Multi-UAV Formation Tracking Control Amidst Missile Threats","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-981-97-3328-6_22","authors":["Haoqi Li","Jiangping Hu","Qingrui Zhou","Maolong Lv","Bijoy K. Ghosh"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-06-14T19:01:29Z","doi":"10.1007/978-981-97-3328-6_22","addedAt":"2026-08-31T06:40:09.763Z","updatedAt":"2026-08-31T06:40:09.763Z"},{"id":"doi:10.1145/3727993.3728075","name":"Screening Method of Distributed Cooperative Navigation Factors for Uav Swarm","source":"crossref","abstract":"","url":"https://doi.org/10.1145/3727993.3728075","authors":["Zhang Can","Li Qun","Lun WeiCheng","Guo Dong"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-05-26T16:22:04Z","doi":"10.1145/3727993.3728075","addedAt":"2026-08-31T06:40:09.763Z","updatedAt":"2026-08-31T06:40:09.763Z"},{"id":"doi:10.12677/csa.2024.149189","name":"Research on Improving Dynamic Multi Swarm Particle Swarm Optimization Algorithm for UAV Path Planning","source":"crossref","abstract":"","url":"https://doi.org/10.12677/csa.2024.149189","authors":["旭 王"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-09-06T02:05:28Z","doi":"10.12677/csa.2024.149189","addedAt":"2026-08-31T06:40:09.763Z","updatedAt":"2026-08-31T06:40:09.763Z"},{"id":"doi:10.1109/docs63458.2024.10704375","name":"Multiobjective Spherical Vector-Based Particle Swarm Optimisation for 3D UAV Path Planning","source":"crossref","abstract":"","url":"https://doi.org/10.1109/docs63458.2024.10704375","authors":["Mengxuan Zhang","Kun Ma","Long Liu","Wenbo Zhang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-10-10T17:21:28Z","doi":"10.1109/docs63458.2024.10704375","addedAt":"2026-08-31T06:40:09.763Z","updatedAt":"2026-08-31T06:40:09.763Z"},{"id":"doi:10.1007/978-981-97-3340-8_36","name":"Cooperative Formation Control of Fixed-Wing UAV Based on L1 Guidance Law Considering Collision Avoidance","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-981-97-3340-8_36","authors":["Keyuan Yue","Mingrui Hao","Yan Zhen","Xinyu Liu"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-07-11T08:02:28Z","doi":"10.1007/978-981-97-3340-8_36","addedAt":"2026-08-31T06:40:09.763Z","updatedAt":"2026-08-31T06:40:09.763Z"},{"id":"doi:10.36227/techrxiv.172373693.35802621/v1","name":"Refinement of Collaborative Multitasking and Multi-Objective Allocation in Heterogeneous UAV Swarms An Approach Informed by Decomposition Learning and Particle Swarm Optimization","source":"crossref","abstract":"The utilization of Unmanned Aerial Vehicle(UAV) swarms has witnessed a remarkable rise across diverse domain, accompanied by an escalating complexity of challenges. This study addresses these challenges by concurrently considering task rescue value of and UAV type, while also introduce ground vehicles to UAVs recharging or supplies supplementation. The primary objective of this paper is to construct a multi-objective multi-task allocation model for UAV swarms, with the aim of minimizing rescue penalties and resource utilization rates. To tackle this model, the study proposes a Multi-Objective Particle Swarm Optimization based on Decomposition Learning (MPSO-DL). The MPSO-DL algorithm incorporates several innovative features. Firstly, it employs an initialization method that combines clustering and greedy selection techniques to enhance the quality of the initial population; secondly, a particle updating strategy based on solution decomposition learning is devised to expedite the convergence rate of the algorithm; Finally, a local search strategy, leveraging a knowledge base, is developed to increase the probability of the population escaping local optima. Through simulation experiments under three different scenarios, the proposed algorithm is rigorously evaluated. The results demonstrate that the proposed algorithm's ability to yield a set of task allocation strategies characterized by superior convergence and distribution.","url":"https://doi.org/10.36227/techrxiv.172373693.35802621/v1","authors":["Lingfeng Rao","Yong Zhang","Na Geng","Guangsong Guo"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-08-15T11:49:00Z","doi":"10.36227/techrxiv.172373693.35802621/v1","addedAt":"2026-08-31T06:40:09.763Z","updatedAt":"2026-08-31T06:40:09.763Z"},{"id":"doi:10.1117/12.3038124","name":"A UAV swarm simulation system for operator cognitive analysis","source":"crossref","abstract":"","url":"https://doi.org/10.1117/12.3038124","authors":["Yunduo Feng","Xiaochuan Zhao","Huapeng Liu","Leiming Jin","Tiange Hong"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-08-07T16:14:24Z","doi":"10.1117/12.3038124","addedAt":"2026-08-31T06:40:09.763Z","updatedAt":"2026-08-31T06:40:09.763Z"},{"id":"doi:10.59782/sidr.v2i1.112","name":"Data-Driven Fault Detection and Diagnosis for UAV Swarm Systems","source":"crossref","abstract":"With the widely application and promotion of Unmanned aerial vehicle (UAV) technology, UAV swarms are widely used in military and civilian fields by taking advantage of group collaboration. It has huge economic and national defense value. The safety and reliability requirements of the UAV swarm system are extremely strict, and real-time fault detection and diagnosis is one of its important supporting technologies. In this paper, a fault diagnosis method based on statistical model and improved broad learning system (BLS) is proposed. The behavior characteristics of the UAV swarm system under normal and different failure modes are characterized by multivariate data statistical analysis, and the improved BLS model is adopted to achieve accurate and fast fault diagnosis. And a high-fidelity simulation verification platform is developed to verify the rationality and effectiveness of the proposed method.","url":"https://doi.org/10.59782/sidr.v2i1.112","authors":["Li Runze","Jiang Bin","Yu Ziquan","Liu Ningyun"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-10-07T15:38:14Z","doi":"10.59782/sidr.v2i1.112","addedAt":"2026-08-31T06:40:09.763Z","updatedAt":"2026-08-31T06:40:09.763Z"},{"id":"doi:10.1117/12.3059012","name":"Overview of cooperative UAV swarm localization","source":"crossref","abstract":"","url":"https://doi.org/10.1117/12.3059012","authors":["Runzong Shangguan","Lin Lin","Yanbo Zhou"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-01-02T21:19:55Z","doi":"10.1117/12.3059012","addedAt":"2026-08-31T06:40:09.763Z","updatedAt":"2026-08-31T06:40:09.763Z"},{"id":"doi:10.1007/978-981-97-3324-8_31","name":"Research on Optimization Method for Configuration Connection of Multi UAV Cluster Collaborative Navigation","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-981-97-3324-8_31","authors":["Chen Gu","Rong Wang","Weicheng Zhao","Zhi Xiong","Jianye Liu"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-06-14T18:02:53Z","doi":"10.1007/978-981-97-3324-8_31","addedAt":"2026-08-31T06:40:09.763Z","updatedAt":"2026-08-31T06:40:09.763Z"},{"id":"doi:10.1109/isaes61964.2024.10750936","name":"Force Planning for Anti-UAV Protection Tasks of Power Grid via Grouping Competitive Swarm Optimization","source":"crossref","abstract":"","url":"https://doi.org/10.1109/isaes61964.2024.10750936","authors":["You Xing","Yashan Liang","Yunfeng Xia","Qishuai Liang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-11-19T18:38:50Z","doi":"10.1109/isaes61964.2024.10750936","addedAt":"2026-08-31T06:40:09.763Z","updatedAt":"2026-08-31T06:40:09.763Z"},{"id":"doi:10.1109/icus61736.2024.10840120","name":"Task Allocation in UAV Swarm Zone Breach: A Dynamic Game-Theoretical Approach","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icus61736.2024.10840120","authors":["Yanzhen Wang","Haoxiang Zhang","Wangli He"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-01-22T18:45:23Z","doi":"10.1109/icus61736.2024.10840120","addedAt":"2026-08-31T06:40:09.763Z","updatedAt":"2026-08-31T06:40:09.763Z"},{"id":"doi:10.1109/icus61736.2024.10840063","name":"Research on the Application of Hybrid Particle Swarm Algorithm in Multi-UAV Mission Planning with Capacity Constraints","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icus61736.2024.10840063","authors":["Jingzhi Bi","Wei Huang","Bei Li","Lingbo Cui"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-01-22T18:45:23Z","doi":"10.1109/icus61736.2024.10840063","addedAt":"2026-08-31T06:40:09.763Z","updatedAt":"2026-08-31T06:40:09.763Z"},{"id":"doi:10.1109/ijcnn60899.2024.10651240","name":"Joint Dynamic Role Switching Scheme and Cooperative Task Offloading Optimization for UAV Swarm-Enabled Edge Computing","source":"crossref","abstract":"","url":"https://doi.org/10.1109/ijcnn60899.2024.10651240","authors":["Kun Lu","Tao Xu","Mingchu Li","Zhihua Wang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-09-09T17:35:05Z","doi":"10.1109/ijcnn60899.2024.10651240","addedAt":"2026-08-31T06:40:09.763Z","updatedAt":"2026-08-31T06:40:09.763Z"},{"id":"doi:10.3390/math13010086","name":"Active Obstacle Avoidance of Multi-Rotor UAV Swarm Based on Stress Matrix Formation Method","source":"crossref","abstract":"Aiming at the formation problem of the multi-rotor UAV swarm, this paper adopts a multi-rotor UAV swarm formation control method based on a stress matrix to ensure the stability of multi-rotor UAV swarm formation. On the basis of achieving the target formation through a stress matrix, the formation of a multi-rotor UAV swarm can be rotated, scaled, and sheared. When the obstacles are known, the multi-rotor UAV swarm can pass through the obstacle environment smoothly through rotation, scaling, and shearing transformations. However, this transformation cannot cope with the situation where the obstacles are known. This paper proposes an active obstacle avoidance function for multi-rotor UAV swarm formation based on a stress matrix. Through the detection capability of the UAV itself, the obstacle avoidance function is realized autonomously after the UAV detects an unknown obstacle. Due to the effect of a stress matrix, when the navigator performs the active obstacle avoidance function, the formation of the multi-rotor UAV swarm will be destroyed. This paper designs a virtual UAV and only retains the UAV that controls the flight trajectory of the multi-rotor UAV swarm as the only real UAV to ensure that the UAV swarm formation is not destroyed. This paper proves the stability of the multi-rotor UAV swarm formation through simulation experiments, and the multi-rotor UAV swarm can pass through the obstacle environment smoothly when facing known obstacles and unknown obstacles.","url":"https://doi.org/10.3390/math13010086","authors":["Zhenyue Qiu","Lei Zhang","Yuan Chi","Zequn Li"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-01-01T14:35:42Z","doi":"10.3390/math13010086","addedAt":"2026-08-31T06:40:09.763Z","updatedAt":"2026-08-31T06:40:09.763Z"},{"id":"doi:10.1109/csrswtc64338.2024.10811583","name":"A Dynamic Topology-Considered UAV Swarm Path Planning Method in City Environment","source":"crossref","abstract":"","url":"https://doi.org/10.1109/csrswtc64338.2024.10811583","authors":["Lefu Liu","Yueqiang Sun","Peifeng Wu","Hui Xie","Changzhen Hu","Shengjun Wei"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-12-30T19:20:36Z","doi":"10.1109/csrswtc64338.2024.10811583","addedAt":"2026-08-31T06:40:09.763Z","updatedAt":"2026-08-31T06:40:09.763Z"},{"id":"doi:10.54097/fk5e5472","name":"Design Concept of Angular Controller for Quadrotor UAV Based on Improved Particle Swarm Optimization Algorithm PID Control","source":"crossref","abstract":"The control of unmanned aerial vehicles (UAVs) is a key research problem in the field of UAVs. PID control is currently one of the most widely used methods for this issue. However, the classical PID control structure suffers from difficulty tuning control parameters, resulting in poor control performance for UAVs. Therefore, this paper proposes a Gaussian mutation-enhanced PSO-PID algorithm for UAV control. The proposed method is built upon classical PID control and PSO optimization algorithms. Firstly, the dynamic model of UAV is constructed using Euler's method and Newton's laws of motion. Then, single-loop PID control is applied to control the UAV, and the PSO algorithm is introduced to solve the parameter tuning problem. To overcome the drawback of PSO algorithm being prone to local optima, Gaussian mutation is introduced to enhance the ability to escape from local optima. The algorithm theoretically offers faster response and better control performance compared to the classical PID structure, and it can be used as a flight control algorithm for commercial UAVs in the future.","url":"https://doi.org/10.54097/fk5e5472","authors":["Yuqing Cheng"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-07-25T04:25:23Z","doi":"10.54097/fk5e5472","addedAt":"2026-08-31T06:40:09.763Z","updatedAt":"2026-08-31T06:40:09.763Z"},{"id":"doi:10.1007/978-981-97-3336-1_58","name":"Research on Autonomous Decision-Making of Multi-UAV Air Combat Based on Deep Reinforcement Learning","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-981-97-3336-1_58","authors":["Zhiming Zhou","Hongmin Qi","Zhen Liu","Dianwei Qian"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-06-14T18:02:53Z","doi":"10.1007/978-981-97-3336-1_58","addedAt":"2026-08-31T06:40:09.763Z","updatedAt":"2026-08-31T06:40:09.763Z"},{"id":"doi:10.1109/icsrs63046.2024.10927448","name":"Intrinsic Resilience Measurement and Analysis for UAV Swarm Systems","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icsrs63046.2024.10927448","authors":["Yingyi Li","Rui Kang","Chao Yang","Qingyuan Zhang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-03-31T23:18:00Z","doi":"10.1109/icsrs63046.2024.10927448","addedAt":"2026-08-31T06:40:09.763Z","updatedAt":"2026-08-31T06:40:09.763Z"},{"id":"doi:10.35546/kntu2078-4481.2023.4.25","name":"DECISION-MAKING HETEROGENEOUS UAV SWARM SYSTEM WITH NEURAL NETWORK-ENHANCED REINFORCEMENT LEARNING","source":"crossref","abstract":"This article explores how artificial intelligence and automation are significantly impacting unmanned aerial vehicles (UAVs), moving from traditional roles to versatile applications. The paper addresses the problem of optimizing the composition of a UAV swarm for efficient task execution by proposing an expert decision-making system that integrates neural networks and reinforcement learning. This system dynamically selects the optimal configuration for heterogeneous UAV swarms, in particular, for searching for objects in unfamiliar terrain. In the experimental phase, an advanced level of system was implemented by combining neural networks and reinforcement learning, based on role-based and MADDPG algorithms for heterogeneous UAV swarms. Decentralized information fusion-based swarm decision making algorithm (IFDSDA) is presented to overcome communication obstacles. The experiment presents a concept for improving heterogeneous UAV swarms using a neural decision network based on reinforcement learning. The environment is represented by a three-dimensional space with objects to be searched in random locations. The neural network evolves its decision-making strategy during training episodes, having an architecture with an input layer that processes information about the UAV’s state, hidden layers, and an output layer that influences the swarm’s behavior. The paper describes the process of direct propagation, reward-based weight adjustment, and the role of the output layer in determining collective actions. The results demonstrate the effective distribution of UAV types by the swarm based on a neural network, reducing redundancy and resource waste, thereby increasing overall efficiency. The article highlights the optimal solution obtained during the experiment, accompanied by a visual representation of the reward results.","url":"https://doi.org/10.35546/kntu2078-4481.2023.4.25","authors":["Y. O. ALBREKHT","A. V. PYSARENKO"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-01-30T12:22:03Z","doi":"10.35546/kntu2078-4481.2023.4.25","addedAt":"2026-08-31T06:40:09.763Z","updatedAt":"2026-08-31T06:40:09.763Z"},{"id":"doi:10.1109/smartiot62235.2024.00011","name":"Satellite and UAV Swarm Integrated Space-Air Communication Based on 5G Non-Terrestrial Networks","source":"crossref","abstract":"","url":"https://doi.org/10.1109/smartiot62235.2024.00011","authors":["Siyang Shi","Li Zhou","Kun Lan","Xinfeng Tang","Siyan Zhang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-12-17T19:07:41Z","doi":"10.1109/smartiot62235.2024.00011","addedAt":"2026-08-31T06:40:09.763Z","updatedAt":"2026-08-31T06:40:09.763Z"},{"id":"doi:10.1109/ccpqt64497.2024.00045","name":"A Distributed Critical Node Detection Algorithm for UAV Swarm Networks","source":"crossref","abstract":"","url":"https://doi.org/10.1109/ccpqt64497.2024.00045","authors":["Zihang He","Haosong Gou","Xiong Wu","Gaoyi Zhang","Pengfei Du","Daosen Zhai"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-02-28T18:40:05Z","doi":"10.1109/ccpqt64497.2024.00045","addedAt":"2026-08-31T06:40:09.763Z","updatedAt":"2026-08-31T06:40:09.763Z"},{"id":"doi:10.2316/j.2024.206-1060","name":"PREDICTION OF UAV POSITIONS USING PARTICLE SWARM OPTIMISATION-BASED KALMAN FILTER, 312-319.","source":"crossref","abstract":"","url":"https://doi.org/10.2316/j.2024.206-1060","authors":["Jian Zhou","Yu Su","Yuhe Qiu","Xiaoyou He","Zhihong Rao"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-01-20T11:12:02Z","doi":"10.2316/j.2024.206-1060","addedAt":"2026-08-31T06:40:09.763Z","updatedAt":"2026-08-31T06:40:09.763Z"},{"id":"doi:10.3390/drones8060214","name":"UAV Swarm Cooperative Dynamic Target Search: A MAPPO-Based Discrete Optimal Control Method","source":"crossref","abstract":"Unmanned aerial vehicles (UAVs) are commonly employed in pursuit and rescue missions, where the target’s trajectory is unknown. Traditional methods, such as evolutionary algorithms and ant colony optimization, can generate a search route in a given scenario. However, when the scene changes, the solution needs to be recalculated. In contrast, more advanced deep reinforcement learning methods can train an agent that can be directly applied to a similar task without recalculation. Nevertheless, there are several challenges when the agent learns how to search for unknown dynamic targets. In this search task, the rewards are random and sparse, which makes learning difficult. In addition, because of the need for the agent to adapt to various scenario settings, interactions required between the agent and the environment are more comparable to typical reinforcement learning tasks. These challenges increase the difficulty of training agents. To address these issues, we propose the OC-MAPPO method, which combines optimal control (OC) and Multi-Agent Proximal Policy Optimization (MAPPO) with GPU parallelization. The optimal control model provides the agent with continuous and stable rewards. Through parallelized models, the agent can interact with the environment and collect data more rapidly. Experimental results demonstrate that the proposed method can help the agent learn faster, and the algorithm demonstrated a 26.97% increase in the success rate compared to genetic algorithms.","url":"https://doi.org/10.3390/drones8060214","authors":["Dexing Wei","Lun Zhang","Quan Liu","Hao Chen","Jian Huang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-05-22T10:00:11Z","doi":"10.3390/drones8060214","addedAt":"2026-08-31T06:40:09.763Z","updatedAt":"2026-08-31T06:40:09.763Z"},{"id":"doi:10.1109/dessert65323.2024.11122116","name":"Cybersecurity of UAV Swarm Communication using VPN and RIS Technologies Integration: Protected Assets, IMECA Analysis and Countermeasures","source":"crossref","abstract":"","url":"https://doi.org/10.1109/dessert65323.2024.11122116","authors":["Ruslan Demura","Vyacheslav Kharchenko","Vitaly Levashenko"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-08-21T18:18:25Z","doi":"10.1109/dessert65323.2024.11122116","addedAt":"2026-08-31T06:40:09.763Z","updatedAt":"2026-08-31T06:40:09.763Z"},{"id":"doi:10.1007/978-981-97-3324-8_30","name":"Transition Trajectory Planning for a VTOL Morphing UAV Based on Improved Pigeon-Inspired Optimization","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-981-97-3324-8_30","authors":["Duo Gao","Boyi Chen","Teng Liao","Wenjun Xu","Yanbin Liu"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-06-14T18:02:53Z","doi":"10.1007/978-981-97-3324-8_30","addedAt":"2026-08-31T06:40:09.763Z","updatedAt":"2026-08-31T06:40:09.763Z"},{"id":"doi:10.1117/12.3032486","name":"Reinforcement learning based fission-fusion for heterogeneous UAV swarm under dynamic interference environments","source":"crossref","abstract":"","url":"https://doi.org/10.1117/12.3032486","authors":["yufeng wang","Xiaorong Zhang","qing wang","zhilan zhang","hang zhang","xiwang dong","wenrui ding"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-08-17T04:47:10Z","doi":"10.1117/12.3032486","addedAt":"2026-08-31T06:40:09.763Z","updatedAt":"2026-08-31T06:40:09.763Z"},{"id":"doi:10.1186/s13638-024-02401-4","name":"Computational offloading into UAV swarm networks: a systematic literature review","source":"crossref","abstract":"","url":"https://doi.org/10.1186/s13638-024-02401-4","authors":["Asrar Ahmed Baktayan","Ammar Thabit Zahary","Axel Sikora","Dominik Welte"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-09-07T18:01:50Z","doi":"10.1186/s13638-024-02401-4","addedAt":"2026-08-31T06:40:09.763Z","updatedAt":"2026-08-31T06:40:09.763Z"},{"id":"doi:10.1109/bigdia63733.2024.10808591","name":"Operational Evaluation of UAV Swarm Precision Strikes with Agent Based Modeling and Simulation","source":"crossref","abstract":"","url":"https://doi.org/10.1109/bigdia63733.2024.10808591","authors":["Zhengzhi Lu","Yufeng Chen","Li Chen","Yanxiang Ling","Fengyao Zhi"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-12-27T19:10:12Z","doi":"10.1109/bigdia63733.2024.10808591","addedAt":"2026-08-31T06:40:09.763Z","updatedAt":"2026-08-31T06:40:09.763Z"},{"id":"doi:10.1109/rcae62637.2024.10834218","name":"Cooperative Navigation for UAV Swarm Based on Gaussian Particle Belief Propagation","source":"crossref","abstract":"","url":"https://doi.org/10.1109/rcae62637.2024.10834218","authors":["Xu Jiang","Mingxing Chen","Jun Xiong","Yuheng Zhang","Chengkang Shao"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-01-14T19:43:02Z","doi":"10.1109/rcae62637.2024.10834218","addedAt":"2026-08-31T06:40:09.763Z","updatedAt":"2026-08-31T06:40:09.763Z"},{"id":"doi:10.1109/arso60199.2024.10557806","name":"Adoption of UAV Swarm Technology: Survey and Opinions of Firefighters","source":"crossref","abstract":"","url":"https://doi.org/10.1109/arso60199.2024.10557806","authors":["Alex McConville","Georgios Tzoumas","Lucio R. Salinas","Marcela Munera","Sabine Hauert"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-06-19T17:24:25Z","doi":"10.1109/arso60199.2024.10557806","addedAt":"2026-08-31T06:40:09.763Z","updatedAt":"2026-08-31T06:40:09.763Z"},{"id":"doi:10.1109/ants63515.2024.10898644","name":"Adaptive Graph-Based Federated Multi-Agent DRL for 6G UAV Swarm Efficiency","source":"crossref","abstract":"","url":"https://doi.org/10.1109/ants63515.2024.10898644","authors":["Bishmita Hazarika","Keshav Singh","Trung Q. Duong"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-03-03T13:28:09Z","doi":"10.1109/ants63515.2024.10898644","addedAt":"2026-08-31T06:40:09.763Z","updatedAt":"2026-08-31T06:40:09.763Z"},{"id":"doi:10.1109/metroaerospace61015.2024.10591569","name":"Optimizing Energy Consumption of the UAV Swarm Performing Coverage Task with Stochastic Sweep Coverage Control Algorithm","source":"crossref","abstract":"","url":"https://doi.org/10.1109/metroaerospace61015.2024.10591569","authors":["Krzysztof Falkowski","Michal Duda"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-07-23T17:26:19Z","doi":"10.1109/metroaerospace61015.2024.10591569","addedAt":"2026-08-31T06:40:09.763Z","updatedAt":"2026-08-31T06:40:09.763Z"},{"id":"doi:10.1109/icus61736.2024.10839859","name":"UAV Swarm Confrontation Based on Multi-Agent Soft Actor-Critic Method","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icus61736.2024.10839859","authors":["Yongkang Jiao","Wenxing Fu","Xinying Cao","Yaping Wang","Pengfei Xu","Yusheng Wang","Lanlin Yu","Haibo Du"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-01-22T18:45:23Z","doi":"10.1109/icus61736.2024.10839859","addedAt":"2026-08-31T06:40:09.763Z","updatedAt":"2026-08-31T06:40:09.763Z"},{"id":"doi:10.1109/icc51166.2024.10622230","name":"Cooperative Intelligence-Based UAV Swarm for Establishing Emergency Communication","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icc51166.2024.10622230","authors":["Shan Huang","Haipeng Yao","Tianle Mai","Di Wu","Zehui Xiong","Mohsen Guizani"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-08-20T11:34:42Z","doi":"10.1109/icc51166.2024.10622230","addedAt":"2026-08-31T06:40:09.763Z","updatedAt":"2026-08-31T06:40:09.763Z"},{"id":"doi:10.1109/icus61736.2024.10840152","name":"A Bio-Inspired Adaptive Formation Architecture Based on Multi-Agents with Application to UAV Swarm","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icus61736.2024.10840152","authors":["Jun Wang","Yuchen Zhang","LeiMin He","Delin Li","Sen Liu","Naihao Liu"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-01-22T18:45:23Z","doi":"10.1109/icus61736.2024.10840152","addedAt":"2026-08-31T06:40:09.763Z","updatedAt":"2026-08-31T06:40:09.763Z"},{"id":"doi:10.1117/12.3023260","name":"Research on delay error of UAV swarm repeater deception against networked radar","source":"crossref","abstract":"","url":"https://doi.org/10.1117/12.3023260","authors":["Wen Wen","Chenguang Shi","Jianjiang Zhou"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-03-28T16:56:07Z","doi":"10.1117/12.3023260","addedAt":"2026-08-31T06:40:09.763Z","updatedAt":"2026-08-31T06:40:09.763Z"},{"id":"doi:10.1007/978-981-97-3324-8_46","name":"Target Assignment in the Multi-UAV Combat Based on Distributed Compensation Auction Algorithm with Fixed-Time Consensus Protocol","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-981-97-3324-8_46","authors":["Yiyang Chen","Yongzhao Hua","Jianglong Yu","Xiwang Dong"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-06-14T18:02:53Z","doi":"10.1007/978-981-97-3324-8_46","addedAt":"2026-08-31T06:40:09.763Z","updatedAt":"2026-08-31T06:40:09.763Z"},{"id":"doi:10.59782/sidr.v6i1.180","name":"Optimization of Multitask Scheduling for Swarm UAV System with Charging Platform","source":"crossref","abstract":"Swarm UAV technology have potential application in a wide range because of its ability to utilize large number, low cost and unified scheduled UAVs. Unified scheduling is tasks and resources allocation through UAV scheduling optimization, which is the key problem for swarm UAV research. Existing scheduling research mainly focuses on scheduling analysis for small-scale, short-time tasks of swarm UAVs, and rarely consider the application of charging platform. Scheduling optimization must consider the influence of charging and other factors for future UAV multi-task and long-time applications . An improved swarm UAV task scheduling method based on a unified scheduling model and improved genetic algorithms was proposed. First, the wireless charging platform resources are incorporated into the UAV working environment, and the working scenario is modeled systematically. Then, the genetic algorithm is used to optimize the task and charging platform resource assignment. Finally, the proposed method is tested and validated using simulated scenarios. Test results show that the proposed method can better adapt to changes in tasks, environment and resources, and still shows good results with relatively large swarms.","url":"https://doi.org/10.59782/sidr.v6i1.180","authors":["Ke Zhijie","Xu Guoning","Cai Rong","Li Yongxiang","Yang Yanchu"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-10-15T00:45:56Z","doi":"10.59782/sidr.v6i1.180","addedAt":"2026-08-31T06:40:09.763Z","updatedAt":"2026-08-31T06:40:09.763Z"},{"id":"doi:10.3389/fnbot.2026.1649168","name":"Robust federated learning for UAV object detection: a joint self-distillation and drift compensation approach.","source":"europepmc","abstract":"The rapid advancement of unmanned aerial vehicles (UAVs) in disaster response and environmental monitoring has underscored the growing importance of real-time object detection within UAV swarm networks. However, the non-independent and identically distributed (non-IID) characteristics of data in UAV networks present significant challenges to model convergence and adaptability. To tackle these challenges, this study introduces a robust federated UAV object detection framework tailored for non-IID data distributions. The framework aims to enhance adaptability across clients, thereby improving both detection performance and convergence speed. Our approach includes a self-distillation mechanism that leverages personalized knowledge from local model historical states to guide current local training, striking a balance between specialization and adaptability. Additionally, we propose a drift compensation mechanism to synchronize local and global model updates, mitigating model drift. We conducted extensive experiments on the VisDrone2019-DET dataset, comparing our method to baseline models. Results demonstrate that our approach accelerates convergence speed by approximately 2.2 times and enhances detection performance by around 3%, offering an efficient and robust solution for UAV-based object detection under non-IID conditions.","url":"https://doi.org/10.3389/fnbot.2026.1649168","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.3389/fnbot.2026.1649168","addedAt":"2026-08-31T06:40:09.763Z","updatedAt":"2026-08-31T06:40:09.763Z"},{"id":"doi:10.3390/s26031070","name":"Context-Aware Multi-Agent Architecture for Wildfire Insights.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s26031070","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.3390/s26031070","addedAt":"2026-08-31T06:40:09.763Z","updatedAt":"2026-08-31T06:40:09.763Z"},{"id":"doi:10.3390/biomimetics10110788","name":"An Improved Red-Billed Blue Magpie Algorithm and Its Application to Constrained Optimization Problems.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/biomimetics10110788","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.3390/biomimetics10110788","addedAt":"2026-08-31T06:40:09.763Z","updatedAt":"2026-08-31T06:40:09.763Z"},{"id":"doi:10.3390/s24237639","name":"Multi-UAV Collaborative Target Search Method in Unknown Dynamic Environment.","source":"pubmed","abstract":"","url":"https://doi.org/10.3390/s24237639","authors":["Yang L","Hao Y","Xu J","Li M"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.3390/s24237639","addedAt":"2026-08-31T06:40:09.763Z","updatedAt":"2026-08-31T06:40:09.764Z"},{"id":"doi:10.3390/s25092730","name":"MSCSO: A Modified Sand Cat Swarm Algorithm for 3D UAV Path Planning in Complex Environments with Multiple Threats.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s25092730","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.3390/s25092730","addedAt":"2026-08-31T06:40:09.763Z","updatedAt":"2026-08-31T06:40:09.763Z"},{"id":"doi:10.3389/fpls.2025.1693548","name":"Rice tiller number estimation based on an improved Swin-UNet model and multi-feature fusion.","source":"europepmc","abstract":"","url":"https://doi.org/10.3389/fpls.2025.1693548","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.3389/fpls.2025.1693548","addedAt":"2026-08-31T06:40:09.764Z","updatedAt":"2026-08-31T06:40:09.764Z"},{"id":"doi:10.1007/s10462-025-11355-y","name":"Improved decisions for unknown behaviours in interactive dynamic influence diagrams.","source":"europepmc","abstract":"","url":"https://doi.org/10.1007/s10462-025-11355-y","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.1007/s10462-025-11355-y","addedAt":"2026-08-31T06:40:09.764Z","updatedAt":"2026-08-31T06:40:09.764Z"},{"id":"doi:10.1038/s41598-025-88145-7","name":"Enhanced multi agent coordination algorithm for drone swarm patrolling in durian orchards.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41598-025-88145-7","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.1038/s41598-025-88145-7","addedAt":"2026-08-31T06:40:09.764Z","updatedAt":"2026-08-31T06:40:09.764Z"},{"id":"doi:10.3389/fpls.2026.1742689","name":"A review of remote sensing-based crop yield estimation: machine learning techniques and environmental, algorithmic, and hardware limitations.","source":"europepmc","abstract":"Advancements in agricultural technologies have increasingly emphasized technical innovations aimed at improving the predictability and reliability of agricultural outputs. These aspects encompass developments in agricultural machinery, automation technologies, biotechnology, and controlled environment farming systems. This article focuses on Remote Sensing (RS)-based approaches applied to agricultural yield estimation for both crops and plants. RS technologies offer enhanced precision and scalability, making them particularly effective for large-scale agricultural monitoring and analysis. A systematic classification of RS-based methodologies employed for crop yield estimation is presented in this study. These methodologies are categorized into: (i) Sensor-Based approaches, (ii) Platform-Based approaches, (iii) Analytical and Modeling-based methods, and (iv) Machine Learning (ML)-driven models. Based on findings reported across multiple studies, it is observed that Deep Learning (DL)-based architectures consistently achieve superior performance across key evaluation metrics, including accuracy, precision, recall, and F1-score. This performance advantage stems from their capacity to learn hierarchical representations, capture complex non-linear relationships, scale efficiently with large datasets, and reduce reliance on manual feature engineering. Following this classification, our article presents a comprehensive discussion of the limitations associated with these methodologies. These challenges are organized into four major categories: (i) Environmental, (ii) Algorithmic, (iii) Hardware and Operational, and (iv) Wireless Sensor Networks (WSNs) related limitations. The adopted classification framework helps readers identify and address the key challenges associated with effective yield estimation in crops and plants. Moreover, the article concludes by outlining several future research directions intended to support and guide both early-career and experienced researchers in this domain.","url":"https://doi.org/10.3389/fpls.2026.1742689","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.3389/fpls.2026.1742689","addedAt":"2026-08-31T06:40:09.764Z","updatedAt":"2026-08-31T06:40:09.764Z"},{"id":"doi:10.3390/biomimetics11030191","name":"Higher-Order Thinking Skills Optimizer: A Metaheuristic Algorithm Inspired by Human Behavior and Its Application in Real-World Constrained Engineering Optimization Problems.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/biomimetics11030191","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.3390/biomimetics11030191","addedAt":"2026-08-31T06:40:09.764Z","updatedAt":"2026-08-31T06:40:09.764Z"},{"id":"doi:10.1038/s41598-025-85912-4","name":"A spherical vector-based adaptive evolutionary particle swarm optimization for UAV path planning under threat conditions.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41598-025-85912-4","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.1038/s41598-025-85912-4","addedAt":"2026-08-31T06:40:09.764Z","updatedAt":"2026-08-31T06:40:09.764Z"},{"id":"doi:10.1038/s41598-025-18387-y","name":"ChebIoD: a Chebyshev polynomial-based lightweight authentication scheme for internet of drones environments.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41598-025-18387-y","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.1038/s41598-025-18387-y","addedAt":"2026-08-31T06:40:09.764Z","updatedAt":"2026-08-31T06:40:09.764Z"},{"id":"doi:10.3389/frobt.2025.1694952","name":"Custom UAV with model predictive control for autonomous static and dynamic trajectory tracking in agricultural fields.","source":"europepmc","abstract":"Introduction This study introduces a custom-built uncrewed aerial vehicle (UAV) designed for precision agriculture, emphasizing modularity, adaptability, and affordability. Unlike commercial UAVs restricted by proprietary systems, this platform offers full customization and advanced autonomy capabilities. Methods The UAV integrates a Cube Blue flight controller for low-level control with a Raspberry Pi 4 companion computer that runs a Model Predictive Control (MPC) algorithm for high-level trajectory optimization. Instead of conventional PID controllers, this work adopts an optimal control strategy using MPC. The system also incorporates Kalman filtering to enable adaptive mission planning and real-time coordination with a moving uncrewed ground vehicle (UGV). Testing was performed in both simulation and outdoor field environments, covering static and dynamic waypoint tracking as well as complex trajectories. Results The UAV performed figure-eight, curved, and wind-disturbed trajectories with root mean square error values consistently between 8 and 20 cm during autonomous operations, with slightly higher errors in more complex trajectories. The system successfully followed a moving UGV along nonlinear, curved paths. Discussion These results demonstrate that the proposed UAV platform is capable of precise autonomous navigation and real-time coordination, confirming its suitability for real-world agricultural applications and offering a flexible alternative to commercial UAV systems.","url":"https://doi.org/10.3389/frobt.2025.1694952","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.3389/frobt.2025.1694952","addedAt":"2026-08-31T06:40:09.764Z","updatedAt":"2026-08-31T06:40:09.764Z"},{"id":"doi:10.1038/s41598-024-78614-w","name":"Collective properties of Petitella georgiae in tube environments.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41598-024-78614-w","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.1038/s41598-024-78614-w","addedAt":"2026-08-31T06:40:09.764Z","updatedAt":"2026-08-31T06:40:09.764Z"},{"id":"doi:10.3390/s25051383","name":"Task-Offloading Optimization Using a Genetic Algorithm in Hybrid Fog Computing for the Internet of Drones.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s25051383","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.3390/s25051383","addedAt":"2026-08-31T06:40:09.764Z","updatedAt":"2026-08-31T06:40:09.764Z"},{"id":"doi:10.3390/biomimetics10090616","name":"Graduate Student Evolutionary Algorithm: A Novel Metaheuristic Algorithm for 3D UAV and Robot Path Planning.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/biomimetics10090616","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.3390/biomimetics10090616","addedAt":"2026-08-31T06:40:09.764Z","updatedAt":"2026-08-31T06:40:09.764Z"},{"id":"doi:10.1038/s41598-024-72279-1","name":"Multiple elite strategy enhanced RIME algorithm for 3D UAV path planning.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41598-024-72279-1","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.1038/s41598-024-72279-1","addedAt":"2026-08-31T06:40:09.764Z","updatedAt":"2026-08-31T06:40:09.764Z"},{"id":"doi:10.1109/tcyb.2023.3324752","name":"Distributed Active Disturbance Rejection Formation Tracking Control for Quadrotor UAVs.","source":"pubmed","abstract":"","url":"https://doi.org/10.1109/tcyb.2023.3324752","authors":["Xu LX","Wang YL","Wang X","Peng C"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.1109/tcyb.2023.3324752","addedAt":"2026-08-31T06:40:09.764Z","updatedAt":"2026-08-31T06:40:09.764Z"},{"id":"doi:10.3390/biomimetics9060353","name":"Bionic 3D Path Planning for Plant Protection UAVs Based on Swarm Intelligence Algorithms and Krill Swarm Behavior.","source":"pubmed","abstract":"","url":"https://doi.org/10.3390/biomimetics9060353","authors":["Xu N","Zhu H","Sun J"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.3390/biomimetics9060353","addedAt":"2026-08-31T06:40:09.764Z","updatedAt":"2026-08-31T06:40:09.764Z"},{"id":"doi:10.3390/s25030863","name":"A Novel Technique for Drone Path Planning Based on a Neighborhood Dragonfly Algorithm.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s25030863","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.3390/s25030863","addedAt":"2026-08-31T06:40:09.764Z","updatedAt":"2026-08-31T06:40:09.764Z"},{"id":"doi:10.3390/s25030780","name":"Node Selection and Path Optimization for Passive Target Localization via UAVs.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s25030780","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.3390/s25030780","addedAt":"2026-08-31T06:40:09.764Z","updatedAt":"2026-08-31T06:40:09.764Z"},{"id":"doi:10.3390/biomimetics9070384","name":"Multi-UAV Cooperative Coverage Search for Various Regions Based on Differential Evolution Algorithm.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/biomimetics9070384","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.3390/biomimetics9070384","addedAt":"2026-08-31T06:40:09.764Z","updatedAt":"2026-08-31T06:40:09.764Z"},{"id":"doi:10.3390/biomimetics9070388","name":"Path Planning of Unmanned Aerial Vehicles Based on an Improved Bio-Inspired Tuna Swarm Optimization Algorithm.","source":"pubmed","abstract":"","url":"https://doi.org/10.3390/biomimetics9070388","authors":["Wang Q","Xu M","Hu Z"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.3390/biomimetics9070388","addedAt":"2026-08-31T06:40:09.764Z","updatedAt":"2026-08-31T06:40:09.764Z"},{"id":"doi:10.1038/s41598-025-92406-w","name":"Dynamic path planning of UAV with least inflection point based on adaptive neighborhood A* algorithm and multi-strategy fusion.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41598-025-92406-w","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.1038/s41598-025-92406-w","addedAt":"2026-08-31T06:40:09.764Z","updatedAt":"2026-08-31T06:40:09.764Z"},{"id":"doi:10.3390/biomimetics9100583","name":"Hybrid Multi-Objective Chameleon Optimization Algorithm Based on Multi-Strategy Fusion and Its Applications.","source":"pubmed","abstract":"","url":"https://doi.org/10.3390/biomimetics9100583","authors":["Chen Y","Cao L","Yue Y"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.3390/biomimetics9100583","addedAt":"2026-08-31T06:40:09.764Z","updatedAt":"2026-08-31T06:40:09.764Z"},{"id":"doi:10.1038/s41598-025-31599-6","name":"Urban flood disaster prevention, control, and rescue using edge computing and the resilience concept.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41598-025-31599-6","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.1038/s41598-025-31599-6","addedAt":"2026-08-31T06:40:09.764Z","updatedAt":"2026-08-31T06:40:09.764Z"},{"id":"doi:10.1038/s41598-024-73473-x","name":"Hybrid golden jackal and golden sine optimizer for tuning PID controllers.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41598-024-73473-x","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.1038/s41598-024-73473-x","addedAt":"2026-08-31T06:40:09.764Z","updatedAt":"2026-08-31T06:40:09.764Z"},{"id":"doi:10.3390/s24237859","name":"Addressing the Return Visit Challenge in Autonomous Flying Ad Hoc Networks Linked to a Central Station.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s24237859","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.3390/s24237859","addedAt":"2026-08-31T06:40:09.764Z","updatedAt":"2026-08-31T06:40:09.764Z"},{"id":"doi:10.1038/s41598-025-97283-x","name":"Butterfly magnetoreception based neighbour awareness strategy protocol for autonomous aerial vehicles.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41598-025-97283-x","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.1038/s41598-025-97283-x","addedAt":"2026-08-31T06:40:09.764Z","updatedAt":"2026-08-31T06:40:09.764Z"},{"id":"doi:10.1038/s41598-024-66332-2","name":"The specifics of the Galois field GF(257) and its use for digital signal processing.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41598-024-66332-2","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.1038/s41598-024-66332-2","addedAt":"2026-08-31T06:40:09.764Z","updatedAt":"2026-08-31T06:40:09.764Z"},{"id":"doi:10.3389/frobt.2025.1607978","name":"Towards applied swarm robotics: current limitations and enablers.","source":"europepmc","abstract":"","url":"https://doi.org/10.3389/frobt.2025.1607978","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.3389/frobt.2025.1607978","addedAt":"2026-08-31T06:40:09.764Z","updatedAt":"2026-08-31T06:40:09.764Z"},{"id":"doi:10.3390/s25196115","name":"From Network Sensors to Intelligent Systems: A Decade-Long Review of Swarm Robotics Technologies.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s25196115","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.3390/s25196115","addedAt":"2026-08-31T06:40:09.764Z","updatedAt":"2026-08-31T06:40:09.764Z"},{"id":"doi:10.3390/plants14060973","name":"Estimating Maize Leaf Water Content Using Machine Learning with Diverse Multispectral Image Features.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/plants14060973","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.3390/plants14060973","addedAt":"2026-08-31T06:40:09.764Z","updatedAt":"2026-08-31T06:40:09.764Z"},{"id":"doi:10.3389/fpls.2024.1391628","name":"Algorithm for UAV path planning in high obstacle density environments: RFA-star.","source":"europepmc","abstract":"","url":"https://doi.org/10.3389/fpls.2024.1391628","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.3389/fpls.2024.1391628","addedAt":"2026-08-31T06:40:09.764Z","updatedAt":"2026-08-31T06:40:09.764Z"},{"id":"doi:10.3390/s24175663","name":"Classification of Unmanned Aerial Vehicles Based on Acoustic Signals Obtained in External Environmental Conditions.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s24175663","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.3390/s24175663","addedAt":"2026-08-31T06:40:09.764Z","updatedAt":"2026-08-31T06:40:09.764Z"},{"id":"doi:10.1038/s41598-025-97108-x","name":"A UAV path planning algorithm for bridge construction safety inspection in complex terrain.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41598-025-97108-x","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.1038/s41598-025-97108-x","addedAt":"2026-08-31T06:40:09.764Z","updatedAt":"2026-08-31T06:40:09.764Z"},{"id":"doi:10.3390/biomimetics9090567","name":"Enhancing Target Tracking: A Novel Grid-Based Beetle Antennae Search Algorithm and Confusion-Aware Detection.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/biomimetics9090567","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.3390/biomimetics9090567","addedAt":"2026-08-31T06:40:09.764Z","updatedAt":"2026-08-31T06:40:09.764Z"},{"id":"doi:10.1038/s41598-025-86981-1","name":"Binocular stereo vision-based relative positioning algorithm for drone swarm.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41598-025-86981-1","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.1038/s41598-025-86981-1","addedAt":"2026-08-31T06:40:09.764Z","updatedAt":"2026-08-31T06:40:09.764Z"},{"id":"doi:10.1038/s41598-025-86803-4","name":"Performance analysis of hybrid optimization approach for UAV path planning control using FOPID-TID controller and HAOAROA algorithm.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41598-025-86803-4","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.1038/s41598-025-86803-4","addedAt":"2026-08-31T06:40:09.764Z","updatedAt":"2026-08-31T06:40:09.764Z"},{"id":"doi:10.1371/journal.pone.0314420","name":"Empowering drones in vehicular network through fog computing and blockchain technology.","source":"europepmc","abstract":"","url":"https://doi.org/10.1371/journal.pone.0314420","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.1371/journal.pone.0314420","addedAt":"2026-08-31T06:40:09.764Z","updatedAt":"2026-08-31T06:40:09.764Z"},{"id":"doi:10.3390/s25134025","name":"Long-Endurance Collaborative Search and Rescue Based on Maritime Unmanned Systems and Deep-Reinforcement Learning.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s25134025","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.3390/s25134025","addedAt":"2026-08-31T06:40:09.764Z","updatedAt":"2026-08-31T06:40:09.764Z"},{"id":"doi:10.1038/s41598-024-69911-5","name":"Dual-loop control and state prediction analysis of QUAV trajectory tracking based on biological swarm intelligent optimization algorithm.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41598-024-69911-5","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.1038/s41598-024-69911-5","addedAt":"2026-08-31T06:40:09.764Z","updatedAt":"2026-08-31T06:40:09.764Z"},{"id":"doi:10.3390/s25041089","name":"A Two-Stage Location-Allocation Optimization Method for Fixed UAV Nests in Power Inspection Considering Node Failure Scenarios.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s25041089","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.3390/s25041089","addedAt":"2026-08-31T06:40:09.764Z","updatedAt":"2026-08-31T06:40:09.764Z"},{"id":"doi:10.3390/biomimetics9120757","name":"Enhanced Nutcracker Optimization Algorithm with Hyperbolic Sine-Cosine Improvement for UAV Path Planning.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/biomimetics9120757","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.3390/biomimetics9120757","addedAt":"2026-08-31T06:40:09.764Z","updatedAt":"2026-08-31T06:40:09.764Z"},{"id":"doi:10.3389/fpls.2025.1668545","name":"Cloud-edge-device collaborative computing in smart agriculture: architectures, applications, and future perspectives.","source":"europepmc","abstract":"","url":"https://doi.org/10.3389/fpls.2025.1668545","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.3389/fpls.2025.1668545","addedAt":"2026-08-31T06:40:09.764Z","updatedAt":"2026-08-31T06:40:09.764Z"},{"id":"doi:10.3389/fpls.2026.1789139","name":"Inversion of nitrogen content in apple leaves using an explainable PSO-CNN model.","source":"europepmc","abstract":"","url":"https://doi.org/10.3389/fpls.2026.1789139","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.3389/fpls.2026.1789139","addedAt":"2026-08-31T06:40:09.764Z","updatedAt":"2026-08-31T06:40:09.764Z"},{"id":"doi:10.3389/fpls.2024.1440234","name":"An integrated framework for UAV-based precision plant protection in complex terrain: the ACHAGA solution for multi-tea fields.","source":"europepmc","abstract":"","url":"https://doi.org/10.3389/fpls.2024.1440234","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.3389/fpls.2024.1440234","addedAt":"2026-08-31T06:40:09.764Z","updatedAt":"2026-08-31T06:40:09.764Z"},{"id":"doi:10.1038/s41598-025-93410-w","name":"Enhanced snow ablation optimizer using dynamic tangential flight and elite guidance strategy.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41598-025-93410-w","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.1038/s41598-025-93410-w","addedAt":"2026-08-31T06:40:09.764Z","updatedAt":"2026-08-31T06:40:09.764Z"},{"id":"doi:10.3390/e26121071","name":"Tethered Balloon Cluster Deployments and Optimization for Emergency Communication Networks.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/e26121071","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.3390/e26121071","addedAt":"2026-08-31T06:40:09.764Z","updatedAt":"2026-08-31T06:40:09.764Z"},{"id":"doi:10.1371/journal.pone.0302513","name":"Secure UAV adhoc network with blockchain technology.","source":"europepmc","abstract":"","url":"https://doi.org/10.1371/journal.pone.0302513","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.1371/journal.pone.0302513","addedAt":"2026-08-31T06:40:09.764Z","updatedAt":"2026-08-31T06:40:09.764Z"},{"id":"doi:10.1016/j.heliyon.2024.e37286","name":"A novel multi-objective dung beetle optimizer for Multi-UAV cooperative path planning.","source":"europepmc","abstract":"","url":"https://doi.org/10.1016/j.heliyon.2024.e37286","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.1016/j.heliyon.2024.e37286","addedAt":"2026-08-31T06:40:09.764Z","updatedAt":"2026-08-31T06:40:09.764Z"},{"id":"doi:10.3390/s23239484","name":"Multi-UAV Redeployment Optimization Based on Multi-Agent Deep Reinforcement Learning Oriented to Swarm Performance Restoration.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s23239484","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2023","doi":"10.3390/s23239484","addedAt":"2026-08-31T06:40:09.764Z","updatedAt":"2026-08-31T06:40:09.764Z"},{"id":"doi:10.3390/s25185742","name":"Adaptive Hybrid PSO-APF Algorithm for Advanced Path Planning in Next-Generation Autonomous Robots.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s25185742","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.3390/s25185742","addedAt":"2026-08-31T06:40:09.764Z","updatedAt":"2026-08-31T06:40:09.764Z"},{"id":"doi:10.3390/s24237514","name":"A Shortest Distance Priority UAV Path Planning Algorithm for Precision Agriculture.","source":"europepmc","abstract":"Unmanned aerial vehicles (UAVs) have made significant advances in autonomous sensing, particularly in the field of precision agriculture. Effective path planning is critical for autonomous navigation in large orchards to ensure that UAVs are able to recognize the optimal route between the start and end points. When UAVs perform tasks such as crop protection, monitoring, and data collection in orchard environments, they must be able to adapt to dynamic conditions. To address these challenges, this study proposes an enhanced Q-learning algorithm designed to optimize UAV path planning by combining static and dynamic obstacle avoidance features. A shortest distance priority (SDP) strategy is integrated into the learning process to minimize the distance the UAV must travel to reach the target. In addition, the root mean square propagation (RMSP) method is used to dynamically adjust the learning rate according to gradient changes, which accelerates the learning process and improves path planning efficiency. In this study, firstly, the proposed method was compared with state-of-the-art path planning techniques (including A-star, Dijkstra, and traditional Q-learning) in terms of learning time and path length through a grid-based 2D simulation environment. The results showed that the proposed method significantly improved performance compared to existing methods. In addition, 3D simulation experiments were conducted in the AirSim virtual environment. Due to the complexity of the 3D state, a deep neural network was used to calculate the Q-value based on the proposed algorithm. The results indicate that the proposed method can achieve the shortest path planning and obstacle avoidance operations in an orchard 3D simulation environment. Therefore, drones equipped with this algorithm are expected to make outstanding contributions to the development of precision agriculture through intelligent navigation and obstacle avoidance.","url":"https://doi.org/10.3390/s24237514","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.3390/s24237514","addedAt":"2026-08-31T06:40:09.764Z","updatedAt":"2026-08-31T06:40:09.764Z"},{"id":"doi:10.1038/s41598-025-22610-1","name":"Deep reinforcement learning framework for joint optimization of multi-RAT UAV location and user association in heterogeneous networks.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41598-025-22610-1","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.1038/s41598-025-22610-1","addedAt":"2026-08-31T06:40:09.764Z","updatedAt":"2026-08-31T06:40:09.764Z"},{"id":"doi:10.3389/frobt.2024.1362294","name":"Collaborative robots (cobots) for disaster risk resilience: a framework for swarm of snake robots in delivering first aid in emergency situations.","source":"pubmed","abstract":"","url":"https://doi.org/10.3389/frobt.2024.1362294","authors":["Moosavi SKR","Zafar MH","Sanfilippo F"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.3389/frobt.2024.1362294","addedAt":"2026-08-31T06:40:09.764Z","updatedAt":"2026-08-31T06:40:09.764Z"},{"id":"doi:10.1038/s41598-024-79323-0","name":"A UAV path planning method based on the framework of multi-objective jellyfish search algorithm.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41598-024-79323-0","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.1038/s41598-024-79323-0","addedAt":"2026-08-31T06:40:09.764Z","updatedAt":"2026-08-31T06:40:09.764Z"},{"id":"doi:10.1038/s41598-026-45824-3","name":"Solving multi-depot closed-path multiple traveling salesman problem using k-means++ hierarchical clustering and neural combinatorial networks.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41598-026-45824-3","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.1038/s41598-026-45824-3","addedAt":"2026-08-31T06:40:09.764Z","updatedAt":"2026-08-31T06:40:09.764Z"},{"id":"doi:10.1038/s41598-026-46885-0","name":"An integrated, simulation-based framework linking satellite fire patterns and wireless sensor network planning in Tunisia.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41598-026-46885-0","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.1038/s41598-026-46885-0","addedAt":"2026-08-31T06:40:09.764Z","updatedAt":"2026-08-31T06:40:09.764Z"},{"id":"doi:10.1038/s41598-024-75123-8","name":"Multi-strategy fusion improved Northern Goshawk optimizer is used for engineering problems and UAV path planning.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41598-024-75123-8","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.1038/s41598-024-75123-8","addedAt":"2026-08-31T06:40:09.764Z","updatedAt":"2026-08-31T06:40:09.764Z"},{"id":"doi:10.1038/s41598-026-41080-7","name":"Foreign object detection in power transmission lines using SESYOLO.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41598-026-41080-7","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.1038/s41598-026-41080-7","addedAt":"2026-08-31T06:40:09.764Z","updatedAt":"2026-08-31T06:40:09.764Z"},{"id":"doi:10.1371/journal.pone.0297066","name":"A PSO-based energy-efficient data collection optimization algorithm for UAV mission planning.","source":"pubmed","abstract":"","url":"https://doi.org/10.1371/journal.pone.0297066","authors":["Lin L","Wang Z","Tian L","Wu J","Wu W"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.1371/journal.pone.0297066","addedAt":"2026-08-31T06:40:09.764Z","updatedAt":"2026-08-31T06:40:09.764Z"},{"id":"doi:10.3389/fnrgo.2026.1797540","name":"Physiological sensing for situational awareness: a theory-driven integrative review of multimodal and unsupervised approaches for visual search and human-autonomy teaming.","source":"europepmc","abstract":"","url":"https://doi.org/10.3389/fnrgo.2026.1797540","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.3389/fnrgo.2026.1797540","addedAt":"2026-08-31T06:40:09.764Z","updatedAt":"2026-08-31T06:40:09.764Z"},{"id":"doi:10.3390/s24144509","name":"Recent Advances in Trajectory Planning and Object Recognition for Robot Sensing and Control.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s24144509","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.3390/s24144509","addedAt":"2026-08-31T06:40:09.764Z","updatedAt":"2026-08-31T06:40:09.764Z"},{"id":"doi:10.1038/s41598-025-32852-8","name":"Real-world evaluat ion of hybrid Green AI for sustainable and efficient smart supply chain distribution.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41598-025-32852-8","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.1038/s41598-025-32852-8","addedAt":"2026-08-31T06:40:09.764Z","updatedAt":"2026-08-31T06:40:09.764Z"},{"id":"doi:10.3390/s25196004","name":"Advanced Sensing Technologies in Structural Health Monitoring and Its Applications.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s25196004","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.3390/s25196004","addedAt":"2026-08-31T06:40:09.764Z","updatedAt":"2026-08-31T06:40:09.764Z"},{"id":"doi:10.3389/fpls.2025.1698830","name":"Hyperspectral inversion model of ginkgo leaf yield prediction based on machine learning.","source":"europepmc","abstract":"","url":"https://doi.org/10.3389/fpls.2025.1698830","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.3389/fpls.2025.1698830","addedAt":"2026-08-31T06:40:09.764Z","updatedAt":"2026-08-31T06:40:09.764Z"},{"id":"doi:10.3390/s25020482","name":"Research on RTD Fluxgate Induction Signal Denoising Method Based on Particle Swarm Optimization Wavelet Neural Network.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s25020482","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.3390/s25020482","addedAt":"2026-08-31T06:40:09.764Z","updatedAt":"2026-08-31T06:40:09.764Z"},{"id":"doi:10.1038/s41598-025-26645-2","name":"Analyzing the enhancement of CNN-YOLO and transformer based architectures for real-time animal detection in complex ecological environments.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41598-025-26645-2","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.1038/s41598-025-26645-2","addedAt":"2026-08-31T06:40:09.764Z","updatedAt":"2026-08-31T06:40:09.764Z"},{"id":"doi:10.1038/s41598-024-78589-8","name":"Multiple strategies improved spider wasp optimization for engineering optimization problem solving.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41598-024-78589-8","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.1038/s41598-024-78589-8","addedAt":"2026-08-31T06:40:09.764Z","updatedAt":"2026-08-31T06:40:09.764Z"},{"id":"doi:10.1038/s41598-025-25490-7","name":"Swift Flight Optimizer: a novel bio-inspired optimization algorithm based on swift bird behavior.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41598-025-25490-7","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.1038/s41598-025-25490-7","addedAt":"2026-08-31T06:40:09.764Z","updatedAt":"2026-08-31T06:40:09.764Z"},{"id":"doi:10.1038/s41598-024-58140-5","name":"Application of fuzzy logic control theory combined with target tracking algorithm in unmanned aerial vehicle target tracking.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41598-024-58140-5","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.1038/s41598-024-58140-5","addedAt":"2026-08-31T06:40:09.764Z","updatedAt":"2026-08-31T06:40:09.764Z"},{"id":"doi:10.1364/oe.520677","name":"See farther and more: a master-slave UAVs based synthetic optical aperture imaging system with wide and dynamic baseline.","source":"pubmed","abstract":"","url":"https://doi.org/10.1364/oe.520677","authors":["Zhang Y","An P","Li Z","Liu Q","Yang Y"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.1364/oe.520677","addedAt":"2026-08-31T06:40:09.764Z","updatedAt":"2026-08-31T06:40:09.764Z"},{"id":"doi:10.1371/journal.pone.0316431","name":"Pre-siting of UAV stations for traffic accident assessment considering road dispersion.","source":"europepmc","abstract":"","url":"https://doi.org/10.1371/journal.pone.0316431","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.1371/journal.pone.0316431","addedAt":"2026-08-31T06:40:09.764Z","updatedAt":"2026-08-31T06:40:09.764Z"},{"id":"doi:10.3390/s24248089","name":"A Comprehensive Study of Recent Path-Planning Techniques in Dynamic Environments for Autonomous Robots.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s24248089","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.3390/s24248089","addedAt":"2026-08-31T06:40:09.764Z","updatedAt":"2026-08-31T06:40:09.764Z"},{"id":"doi:10.3390/s25051349","name":"An Independent UAV-Based Mobile Base Station.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s25051349","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.3390/s25051349","addedAt":"2026-08-31T06:40:09.764Z","updatedAt":"2026-08-31T06:40:09.764Z"},{"id":"doi:10.3390/biomimetics9090510","name":"Trajectory Optimization to Enhance Observability for Bearing-Only Target Localization and Sensor Bias Calibration.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/biomimetics9090510","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.3390/biomimetics9090510","addedAt":"2026-08-31T06:40:09.764Z","updatedAt":"2026-08-31T06:40:09.764Z"},{"id":"doi:10.3390/s25010155","name":"Predictive Forwarding Rule Caching for Latency Reduction in Dynamic SDN.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s25010155","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.3390/s25010155","addedAt":"2026-08-31T06:40:09.764Z","updatedAt":"2026-08-31T06:40:09.764Z"},{"id":"doi:10.3390/biomimetics11030166","name":"Multi-UAV Cooperative Path Planning Using a Behavior-Adaptive Aquila Optimizer Under Multiple Constraints.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/biomimetics11030166","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.3390/biomimetics11030166","addedAt":"2026-08-31T06:40:09.764Z","updatedAt":"2026-08-31T06:40:09.764Z"},{"id":"doi:10.3390/s25134217","name":"Coverage Hole Recovery in Hybrid Sensor Networks Based on Key Perceptual Intersections for Emergency Communications.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s25134217","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.3390/s25134217","addedAt":"2026-08-31T06:40:09.764Z","updatedAt":"2026-08-31T06:40:09.764Z"},{"id":"doi:10.3390/s24020408","name":"Minimizing Fuel Consumption for Surveillance Unmanned Aerial Vehicles Using Parallel Particle Swarm Optimization.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s24020408","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.3390/s24020408","addedAt":"2026-08-31T06:40:09.764Z","updatedAt":"2026-08-31T06:40:09.764Z"},{"id":"doi:10.3390/s24041104","name":"Intelligent Path Planning with an Improved Sparrow Search Algorithm for Workshop UAV Inspection.","source":"pubmed","abstract":"","url":"https://doi.org/10.3390/s24041104","authors":["Zhang J","Zhu X","Li J"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.3390/s24041104","addedAt":"2026-08-31T06:40:09.764Z","updatedAt":"2026-08-31T06:40:09.764Z"},{"id":"doi:10.1109/tcyb.2023.3246985","name":"Learning-Based Multi-UAV Flocking Control With Limited Visual Field and Instinctive Repulsion.","source":"pubmed","abstract":"","url":"https://doi.org/10.1109/tcyb.2023.3246985","authors":["Bai C","Yan P","Piao H","Pan W","Guo J"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.1109/tcyb.2023.3246985","addedAt":"2026-08-31T06:40:09.764Z","updatedAt":"2026-08-31T06:40:09.764Z"},{"id":"doi:10.1038/s41598-024-71485-1","name":"An improve crested porcupine algorithm for UAV delivery path planning in challenging environments.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41598-024-71485-1","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.1038/s41598-024-71485-1","addedAt":"2026-08-31T06:40:09.764Z","updatedAt":"2026-08-31T06:40:09.764Z"},{"id":"doi:10.1038/s41598-026-42664-z","name":"Artificial intelligence-based intrusion detection and secure communication model for sustainable 6G-IoT networks.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41598-026-42664-z","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.1038/s41598-026-42664-z","addedAt":"2026-08-31T06:40:09.764Z","updatedAt":"2026-08-31T06:40:09.764Z"},{"id":"doi:10.3390/s24175838","name":"Enhancing Unmanned Aerial Vehicle Security: A Zero-Knowledge Proof Approach with Zero-Knowledge Succinct Non-Interactive Arguments of Knowledge for Authentication and Location Proof.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s24175838","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.3390/s24175838","addedAt":"2026-08-31T06:40:09.764Z","updatedAt":"2026-08-31T06:40:09.764Z"},{"id":"doi:10.3390/biomimetics10110760","name":"Multi-Strategy Improved POA for Global Optimization Problems and 3D UAV Path Planning.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/biomimetics10110760","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.3390/biomimetics10110760","addedAt":"2026-08-31T06:40:09.764Z","updatedAt":"2026-08-31T06:40:09.764Z"},{"id":"doi:10.3389/fpls.2025.1615038","name":"Sustainable phytoprotection: a smart monitoring and recommendation framework using Puma Optimization for potato pathogen detection.","source":"europepmc","abstract":"","url":"https://doi.org/10.3389/fpls.2025.1615038","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.3389/fpls.2025.1615038","addedAt":"2026-08-31T06:40:09.764Z","updatedAt":"2026-08-31T06:40:09.764Z"},{"id":"doi:10.1038/s41598-024-71621-x","name":"A novel energy-efficiency framework for UAV-assisted networks using adaptive deep reinforcement learning.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41598-024-71621-x","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.1038/s41598-024-71621-x","addedAt":"2026-08-31T06:40:09.764Z","updatedAt":"2026-08-31T06:40:09.764Z"},{"id":"doi:10.1038/s41598-025-06512-w","name":"A learning-driven algorithm for maintenance team and UAV collaboration in restoring power network.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41598-025-06512-w","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.1038/s41598-025-06512-w","addedAt":"2026-08-31T06:40:09.764Z","updatedAt":"2026-08-31T06:40:09.764Z"},{"id":"doi:10.1016/j.plaphe.2025.100093","name":"TM-WSNet: A precise segmentation method for individual rubber trees based on UAV LiDAR point cloud.","source":"europepmc","abstract":"","url":"https://doi.org/10.1016/j.plaphe.2025.100093","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.1016/j.plaphe.2025.100093","addedAt":"2026-08-31T06:40:09.764Z","updatedAt":"2026-08-31T06:40:09.764Z"},{"id":"doi:10.1038/s41598-026-47766-2","name":"Efficiency optimization of enterprise resource planning based on deep reinforcement learning: achieving more efficient business process automation.","source":"europepmc","abstract":"Enterprise Resource Planning (ERP) systems play a key role in modern enterprise management. Business Process Management (BPM), as a core subsystem of ERP, is responsible for coordinating and automating enterprise workflows. However, traditional BPM systems struggle with efficient task scheduling under dynamic load changes. This often leads to reduced execution efficiency, especially under heavy loads. When the load exceeds the processing capacity of the engine cluster, it can cause severe Service Level Agreement (SLA) violations. To address the above issues, this study optimizes the task scheduling architecture for Business Process Management (BPM) in cloud environments from the perspectives of system modeling and scheduling mechanism optimization. The service-level-aware task scheduling process is formalized as a Markov Decision Process (MDP). On this basis, a Service-Tiered Request Scheduling (SRS) framework is constructed. The Proximal Policy Optimization (PPO) algorithm is adopted as the policy learner to realize adaptive scheduling decisions for tasks of different service levels. In service-tiered load tests, results show that under normal load, the Service Level Agreement (SLA) violation rate of SRS-PPO is 6.6%, slightly higher than that of the traditional Earliest Deadline First (EDF) algorithm. Nevertheless, the Quality of Service (QoS) over-provisioning rate of SRS-PPO is reduced by 74.57% compared with EDF. Under heavy-load conditions, the SLA violation rate of SRS-PPO is 21.33%, which outperforms the comparison methods and is 7.04% lower than that of EDF. Its QoS over-provisioning rate is 10.12%, a decrease of 60.81% compared with EDF (p < 0.05). Experimental results demonstrate that SRS-PPO has application potential in handling SLA violations in high-load environments, improving task scheduling flexibility and resource utilization efficiency.","url":"https://doi.org/10.1038/s41598-026-47766-2","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.1038/s41598-026-47766-2","addedAt":"2026-08-31T06:40:09.764Z","updatedAt":"2026-08-31T06:40:09.764Z"},{"id":"doi:10.1371/journal.pone.0324253","name":"LRRT*: A robotic arm path planning algorithm based on an improved Levy flight strategy with effective region sampling RRT.","source":"europepmc","abstract":"","url":"https://doi.org/10.1371/journal.pone.0324253","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.1371/journal.pone.0324253","addedAt":"2026-08-31T06:40:09.764Z","updatedAt":"2026-08-31T06:40:09.764Z"},{"id":"doi:10.1038/s41598-024-52750-9","name":"Path planning in three-dimensional space based on butterfly optimization algorithm.","source":"pubmed","abstract":"","url":"https://doi.org/10.1038/s41598-024-52750-9","authors":["Mazaheri H","Goli S","Nourollah A"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.1038/s41598-024-52750-9","addedAt":"2026-08-31T06:40:09.764Z","updatedAt":"2026-08-31T06:40:09.764Z"},{"id":"doi:10.3390/s25010072","name":"Bio-Inspired Algorithms for Efficient Clustering and Routing in Flying Ad Hoc Networks.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s25010072","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.3390/s25010072","addedAt":"2026-08-31T06:40:09.764Z","updatedAt":"2026-08-31T06:40:09.764Z"},{"id":"doi:10.3390/s24175707","name":"Methods and Software Tools for Reliable Operation of Flying LiFi Networks in Destruction Conditions.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s24175707","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.3390/s24175707","addedAt":"2026-08-31T06:40:09.764Z","updatedAt":"2026-08-31T06:40:09.764Z"},{"id":"doi:10.3390/biomimetics9020111","name":"Design and Optimization of UAV Aerial Recovery System Based on Cable-Driven Parallel Robot.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/biomimetics9020111","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.3390/biomimetics9020111","addedAt":"2026-08-31T06:40:09.764Z","updatedAt":"2026-08-31T06:40:09.764Z"},{"id":"doi:10.3390/s25041194","name":"Securing UAV Flying Ad Hoc Wireless Networks: Authentication Development for Robust Communications.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s25041194","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.3390/s25041194","addedAt":"2026-08-31T06:40:09.764Z","updatedAt":"2026-08-31T06:40:09.764Z"},{"id":"doi:10.3390/s24155029","name":"Research on Division of Labor Decision and System Stability of Swarm Robots Based on Mutual Information.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s24155029","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.3390/s24155029","addedAt":"2026-08-31T06:40:09.764Z","updatedAt":"2026-08-31T06:40:09.764Z"},{"id":"doi:10.3389/frobt.2025.1695319","name":"WildDrone: autonomous drone technology for monitoring wildlife populations.","source":"europepmc","abstract":"","url":"https://doi.org/10.3389/frobt.2025.1695319","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.3389/frobt.2025.1695319","addedAt":"2026-08-31T06:40:09.764Z","updatedAt":"2026-08-31T06:40:09.764Z"},{"id":"doi:10.3390/s24134337","name":"Dynamic UAV Deployment Scheme Based on Edge Computing for Forest Fire Scenarios.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s24134337","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.3390/s24134337","addedAt":"2026-08-31T06:40:09.764Z","updatedAt":"2026-08-31T06:40:09.764Z"},{"id":"doi:10.3390/s24103064","name":"Comprehensive Investigation of Unmanned Aerial Vehicles (UAVs): An In-Depth Analysis of Avionics Systems.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s24103064","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.3390/s24103064","addedAt":"2026-08-31T06:40:09.764Z","updatedAt":"2026-08-31T06:40:09.764Z"},{"id":"doi:10.3390/s25010175","name":"Task Offloading with LLM-Enhanced Multi-Agent Reinforcement Learning in UAV-Assisted Edge Computing.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s25010175","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.3390/s25010175","addedAt":"2026-08-31T06:40:09.764Z","updatedAt":"2026-08-31T06:40:09.764Z"},{"id":"doi:10.1038/s41598-024-54938-5","name":"Enhancing multi-UAV air combat decision making via hierarchical reinforcement learning.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41598-024-54938-5","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.1038/s41598-024-54938-5","addedAt":"2026-08-31T06:40:09.764Z","updatedAt":"2026-08-31T06:40:09.764Z"},{"id":"doi:10.1016/j.plaphe.2025.100141","name":"Leveraging UAV hyperspectral imaging for crop physiology and biochemistry: A comprehensive review of feature extraction and selection methods.","source":"europepmc","abstract":"","url":"https://doi.org/10.1016/j.plaphe.2025.100141","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.1016/j.plaphe.2025.100141","addedAt":"2026-08-31T06:40:09.764Z","updatedAt":"2026-08-31T06:40:09.764Z"},{"id":"doi:10.7717/peerj-cs.2714","name":"DeepSpoofNet: a framework for securing UAVs against GPS spoofing attacks.","source":"europepmc","abstract":"","url":"https://doi.org/10.7717/peerj-cs.2714","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.7717/peerj-cs.2714","addedAt":"2026-08-31T06:40:09.764Z","updatedAt":"2026-08-31T06:40:09.764Z"},{"id":"doi:10.1038/s41598-025-97215-9","name":"Applying neural networks as direct controllers in position and trajectory tracking algorithms for holonomic UAVs.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41598-025-97215-9","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.1038/s41598-025-97215-9","addedAt":"2026-08-31T06:40:09.764Z","updatedAt":"2026-08-31T06:40:09.764Z"},{"id":"doi:10.1038/s41598-023-50484-8","name":"An improved chaos sparrow search algorithm for UAV path planning.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41598-023-50484-8","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.1038/s41598-023-50484-8","addedAt":"2026-08-31T06:40:09.764Z","updatedAt":"2026-08-31T06:40:09.764Z"},{"id":"doi:10.1038/s41598-024-71844-y","name":"Neural network optimal control for tripartite UAV confrontation systems based on fuzzy differential game.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41598-024-71844-y","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.1038/s41598-024-71844-y","addedAt":"2026-08-31T06:40:09.764Z","updatedAt":"2026-08-31T06:40:09.764Z"},{"id":"doi:10.1038/s41598-024-68471-y","name":"A local filtering-based energy-aware routing scheme in flying ad hoc networks.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41598-024-68471-y","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.1038/s41598-024-68471-y","addedAt":"2026-08-31T06:40:09.764Z","updatedAt":"2026-08-31T06:40:09.764Z"},{"id":"doi:10.1038/s41598-025-94937-8","name":"Aerial manipulation of long objects using adaptive neuro-fuzzy controller under battery variability.","source":"europepmc","abstract":"","url":"https://doi.org/10.1038/s41598-025-94937-8","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2025","doi":"10.1038/s41598-025-94937-8","addedAt":"2026-08-31T06:40:09.764Z","updatedAt":"2026-08-31T06:40:09.764Z"},{"id":"doi:10.3390/s24206565","name":"Research on Real-Time Roundup and Dynamic Allocation Methods for Multi-Dynamic Target Unmanned Aerial Vehicles.","source":"europepmc","abstract":"","url":"https://doi.org/10.3390/s24206565","authors":[],"tags":[],"confidence":0.8,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.3390/s24206565","addedAt":"2026-08-31T06:40:09.764Z","updatedAt":"2026-08-31T06:40:09.764Z"},{"id":"pmid:39329541","name":"An Adaptive Spiral Strategy Dung Beetle Optimization Algorithm: Research and Applications.","source":"pubmed","abstract":"","url":"https://pubmed.ncbi.nlm.nih.gov/39329541/","authors":["Wang X","Zhang Y","Zheng C","Feng S","Yu H","Hu B","Xie Z"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2024 Aug 29","doi":"10.3390/biomimetics9090519","addedAt":"2026-08-31T06:40:09.764Z","updatedAt":"2026-08-31T06:40:09.764Z"},{"id":"pmid:39127555","name":"Multi-sensor dynamic scheduling for defending UAV swarms with Fresnel zone under complex terrain.","source":"pubmed","abstract":"","url":"https://pubmed.ncbi.nlm.nih.gov/39127555/","authors":["Xing Z","Hu S","Ding R","Yan T","Xiong X","Wei X"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2024 Oct","doi":"10.1016/j.isatra.2024.08.004","addedAt":"2026-08-31T06:40:09.764Z","updatedAt":"2026-08-31T06:40:09.764Z"},{"id":"pmid:38974473","name":"Distribution network insulator detection based on improved ant colony algorithm and deep learning for UAV.","source":"pubmed","abstract":"","url":"https://pubmed.ncbi.nlm.nih.gov/38974473/","authors":["Zhou Y","Zhang D","Ma X"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2024 Jun 21","doi":"10.1016/j.isci.2024.110119","addedAt":"2026-08-31T06:40:09.764Z","updatedAt":"2026-08-31T06:40:09.764Z"},{"id":"pmid:38786481","name":"A Sinh-Cosh-Enhanced DBO Algorithm Applied to Global Optimization Problems.","source":"pubmed","abstract":"","url":"https://pubmed.ncbi.nlm.nih.gov/38786481/","authors":["Wang X","Wei Y","Guo Z","Wang J","Yu H","Hu B"],"tags":[],"confidence":0.82,"sites":["low-altitude"],"publishedDate":"2024 Apr 29","doi":"10.3390/biomimetics9050271","addedAt":"2026-08-31T06:40:09.764Z","updatedAt":"2026-08-31T06:40:09.764Z"},{"id":"doi:10.5281/zenodo.20424381","name":"Interior Propagation of CMB Birefringence Field α(n̂) Anomalies: Planck Legacy Data Correlation, In Vivo Nanoscale Signal Grounding, and Covert Bio-Electronic Weapon Deployment","source":"datacite","abstract":"Summary This report serves as a public record of the author’s analysis, concerns, and supporting documentation presented in the sections below. # EMERGENCY AUTHOR’S STATEMENT AND THREAT DISCLOSURE Statement by Amy Condit: This disclosure originates with an independent cosmological discovery made entirely outside institutional channels. I do not possess a PhD, institutional tenure, or professional protection. Using publicly available 2018 Planck Legacy satellite data to perform advanced pixel-level maps of cosmic microwave background (CMB) polarization anomalies, during progressive harmonic and spatial analysis of the Planck 2018 polarization data, the pipeline isolated an anomalous, periodically recurring terrestrial signal pattern inconsistent with known instrumental artifacts or expected astrophysical foregrounds. This paper discloses two things simultaneously. The first is a genuine cosmological discovery: a phase-coherent, parity-violating structure within the CMB birefringence field that has been sequestered by the U.S. Department of War and repurposed as the master synchronization clock for global military operations — a Unified Temporal Anchor grounding sub-millisecond coordination across orbital assets, autonomous weapons systems, and terrestrial strike infrastructure. The second is a bio-electronic weapon system currently being deployed against the author of this paper. These two disclosures are not unrelated. The weapon is the mechanism of suppression. By deploying a covert bio-electromagnetic forcing architecture against the researcher, the operators pursue three concurrent objectives: to destabilize the researcher’s physical health sufficiently to prevent continued publication; to systematically discredit the researcher, ensuring the cosmological findings are dismissed without technical engagement; and, if those measures prove insufficient, to provide a pathway to the researcher’s assassination via an induced cardiac event that will register as a natural death in any post-mortem review. A dead or discredited researcher cannot defend a discovery. A stolen discovery with no credible originator becomes the exclusive intellectual property of the institution that sequestered it. The author recognizes that the interdisciplinary scope of this paper — bridging observational cosmology with covert bioelectronic weapons architecture — will be received with considerable skepticism by established academic institutions. The convergence of CMB polarization analysis with claims of targeted in vivo deployment falls outside the boundaries of standard peer-reviewed discourse, and the author does not expect otherwise. This publication is not submitted in pursuit of academic validation. It is submitted as a formal forensic record, and its evidentiary value is independent of its reception. The author’s prior contributions to CMB birefringence analysis stand on their own methodological merits and are submitted separately for technical review. This disclosure is not submitted in defense of the author’s professional standing. It is submitted in defense of the author’s life. Shortly after isolating the specific harmonic boundaries of this transmission within the public data, the author’s own body became the target. The author is the test subject. The telemetry logged in the sections that follow is the documentation of the author’s own physical degradation. The operators did not perform a surgical operation; they used incremental, unfelt micro-injections delivered by insect-scale drones to grow a flexible, conductive antenna grid directly inside the author’s tissues, using the same phase-gating propagation principles discovered in the cosmic rotation field. This technical architecture is placed into the open because it is the only defense available. If the author’s heart gives out, this paper will stand as an unalterable forensic record. By exposing the explicit link between public cosmological anomalies and covert terrestrial targeting netw","url":"https://doi.org/10.5281/zenodo.20424381","authors":["Condit, Amy"],"tags":["Cosmic Birefringence","CMB Polarization","Anisotropy","Parity Violation","Cosmological Dipole","Planck 2018","Harmonic Analysis","22 Blue"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.20424381","addedAt":"2026-08-31T06:40:09.764Z","updatedAt":"2026-08-31T06:40:09.764Z"},{"id":"doi:10.5281/zenodo.18993213","name":"PREreview of \"Lightweight 3D LiDAR-Based UAV Tracking: An Adaptive Extended Kalman Filtering Approach\"","source":"datacite","abstract":"This Zenodo record is a permanently preserved version of a PREreview. You can view the complete PREreview at https://prereview.org/reviews/18993214. summary: 'Lightweight 3D LiDAR-Based UAV Tracking: An Adaptive Extended Kalman Filtering Approach by Nivand Khosravi, Meysam Basiri, and Rodrigo Ventura proposes a lightweight LiDAR-only UAV tracking framework tailored to non-repetitive scanning sensors (Livox Mid-360). The method adaptively tunes process and measurement noise in a constant-acceleration Kalman filtering pipeline, integrates Mahalanobis gating, clustering, and a recovery mechanism, and is validated in real-world UAV-to-UAV tracking with RTK ground truth. Reported results show improved robustness versus a fixed CA-KF and a particle filter, though some reported metrics are internally inconsistent and statistical rigor is limited.' keywords: 'UAV Tracking, Adaptive Kalman Filter, 3D LiDAR-Based Tracking' score: 56 tier: 'Tier2 (Graduate journals): Solid applied contribution with real-world experiments and practical relevance, but novelty is incremental and there are inconsistencies in reported metrics plus limited statistical analysis; suitable after revisions for robustness, reporting, and reproducibility.' CPI: 0.5 expected_citations_2yr: 10 categories: Abstract: score: 7, description: 'Clear statement of objective, method, experimental setting, and claimed improvements; slightly promotional and dense but largely self-contained.' References: score: 6, description: 'Mix of foundational and recent works (2016–2024) with relevant LiDAR-UAV tracking literature; however, some citations have typos/inconsistencies and key adaptive filtering applications in robotics could be expanded.' Scope: score: 8, description: 'The manuscript covers what the title and abstract promise: a LiDAR-only adaptive Kalman filtering pipeline for UAV tracking with real-world validation.' Relevance: score: 8, description: 'Addresses an important use case (small-UAV relative tracking in GPS-denied settings) that is timely for swarm robotics and aerial autonomy.' 'Factual Errors': score: 3, description: 'Table 2 appears internally inconsistent (e.g., 3D RMSE lower than per-axis RMSEs; particle filter CPU usage implausibly lower than CA-KF; formatting like 106.4 vs 0.99%); method labeled A(E)KF though the model/measurement are linear; clustering is described as DBSCAN with fixed epsilon and elsewhere as spatially adaptive Euclidean clustering—these contradictions undermine confidence.' Language: score: 6, description: \"Readable overall, but contains grammatical and stylistic issues (inconsistent spacing like '0. 1 m^3', duplicated 'et al.', inconsistent tense and hyphenation), and occasionally non–past-perfect phrasing.\" Formatting: score: 6, description: 'Generally follows scientific manuscript structure, but includes inconsistent typography (spaces around decimals, hyphen/dash usage) and uneven reference formatting.' Novelty: score: 4, description: 'Adaptive tuning of Q and R via innovation/residual statistics is established; the contribution is primarily an engineering integration for non-repetitive LiDAR on small UAVs rather than a new filtering paradigm. Five extension ideas: (1) Learn a noise map that links LiDAR return density and angle to uncertainty so the filter adjusts before measurements arrive; (2) Use two drones to cooperatively cross-check each other's positions and correct drift; (3) Add a simple motion class (hover, cruise, turn) that switches filter behavior; (4) Track how wind gusts change acceleration patterns and include a wind state; (5) Detect when the sensor pattern becomes sparse and change the clustering and gating rules on the fly.' Problems: score: 6, description: 'Targets a real gap—robust LiDAR-only tracking on resource-limited UAVs with non-repetitive scanning—but solutions are evolutionary rather than resolving a longstanding contradiction.' Assumptions: score: 6, description: 'Constant-acceleration model, ROI filteri","url":"https://doi.org/10.5281/zenodo.18993213","authors":["shireesh apte"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.18993213","addedAt":"2026-08-31T06:40:09.764Z","updatedAt":"2026-08-31T06:40:09.764Z"},{"id":"doi:10.5281/zenodo.18993214","name":"PREreview of \"Lightweight 3D LiDAR-Based UAV Tracking: An Adaptive Extended Kalman Filtering Approach\"","source":"datacite","abstract":"This Zenodo record is a permanently preserved version of a PREreview. You can view the complete PREreview at https://prereview.org/reviews/18993214. summary: 'Lightweight 3D LiDAR-Based UAV Tracking: An Adaptive Extended Kalman Filtering Approach by Nivand Khosravi, Meysam Basiri, and Rodrigo Ventura proposes a lightweight LiDAR-only UAV tracking framework tailored to non-repetitive scanning sensors (Livox Mid-360). The method adaptively tunes process and measurement noise in a constant-acceleration Kalman filtering pipeline, integrates Mahalanobis gating, clustering, and a recovery mechanism, and is validated in real-world UAV-to-UAV tracking with RTK ground truth. Reported results show improved robustness versus a fixed CA-KF and a particle filter, though some reported metrics are internally inconsistent and statistical rigor is limited.' keywords: 'UAV Tracking, Adaptive Kalman Filter, 3D LiDAR-Based Tracking' score: 56 tier: 'Tier2 (Graduate journals): Solid applied contribution with real-world experiments and practical relevance, but novelty is incremental and there are inconsistencies in reported metrics plus limited statistical analysis; suitable after revisions for robustness, reporting, and reproducibility.' CPI: 0.5 expected_citations_2yr: 10 categories: Abstract: score: 7, description: 'Clear statement of objective, method, experimental setting, and claimed improvements; slightly promotional and dense but largely self-contained.' References: score: 6, description: 'Mix of foundational and recent works (2016–2024) with relevant LiDAR-UAV tracking literature; however, some citations have typos/inconsistencies and key adaptive filtering applications in robotics could be expanded.' Scope: score: 8, description: 'The manuscript covers what the title and abstract promise: a LiDAR-only adaptive Kalman filtering pipeline for UAV tracking with real-world validation.' Relevance: score: 8, description: 'Addresses an important use case (small-UAV relative tracking in GPS-denied settings) that is timely for swarm robotics and aerial autonomy.' 'Factual Errors': score: 3, description: 'Table 2 appears internally inconsistent (e.g., 3D RMSE lower than per-axis RMSEs; particle filter CPU usage implausibly lower than CA-KF; formatting like 106.4 vs 0.99%); method labeled A(E)KF though the model/measurement are linear; clustering is described as DBSCAN with fixed epsilon and elsewhere as spatially adaptive Euclidean clustering—these contradictions undermine confidence.' Language: score: 6, description: \"Readable overall, but contains grammatical and stylistic issues (inconsistent spacing like '0. 1 m^3', duplicated 'et al.', inconsistent tense and hyphenation), and occasionally non–past-perfect phrasing.\" Formatting: score: 6, description: 'Generally follows scientific manuscript structure, but includes inconsistent typography (spaces around decimals, hyphen/dash usage) and uneven reference formatting.' Novelty: score: 4, description: 'Adaptive tuning of Q and R via innovation/residual statistics is established; the contribution is primarily an engineering integration for non-repetitive LiDAR on small UAVs rather than a new filtering paradigm. Five extension ideas: (1) Learn a noise map that links LiDAR return density and angle to uncertainty so the filter adjusts before measurements arrive; (2) Use two drones to cooperatively cross-check each other's positions and correct drift; (3) Add a simple motion class (hover, cruise, turn) that switches filter behavior; (4) Track how wind gusts change acceleration patterns and include a wind state; (5) Detect when the sensor pattern becomes sparse and change the clustering and gating rules on the fly.' Problems: score: 6, description: 'Targets a real gap—robust LiDAR-only tracking on resource-limited UAVs with non-repetitive scanning—but solutions are evolutionary rather than resolving a longstanding contradiction.' Assumptions: score: 6, description: 'Constant-acceleration model, ROI filteri","url":"https://doi.org/10.5281/zenodo.18993214","authors":["shireesh apte"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.18993214","addedAt":"2026-08-31T06:40:09.764Z","updatedAt":"2026-08-31T06:40:09.764Z"},{"id":"doi:10.5281/zenodo.18203365","name":"MH370: Mathematical Proof of the Survival of All Passengers Within a Tensorial Capsule at Broken Ridge and a Depth of 4650 Meters in the Southern Indian Ocean, at Coordinates Longitude 93.6165° E and Latitude 34.4812° S via 165D Mechanics Tensor of the Hamzah Equation.","source":"datacite","abstract":"Hamzah Quantum Intelligence (HQI). ................................................................................................................................................................................................................................................................. 12 Years Classical Search Method (2014-2026) for MH 370 Was Exactly Like Trying to See X-rays While Wearing Sunglasses — A Completely Wrong Tool for an Entirely Different Task.” ................................................................................................................................................................................................................................................................. Dedicated Lagrangian for the Recovery of MH370 (Level 165): $$\\mathcal{L}_{MH370}^{(165)} = \\oint_{\\partial \\mathcal{V}_{165}} \\left[ \\mathcal{Q}_{H} \\left( IGARI_{sync} \\right) + \\Xi_{SIO} \\left( \\mathcal{G}_{\\mu\\nu}^{161} \\otimes \\mathcal{P}_{lock} \\right) - \\frac{\\hbar_{H} \\mathcal{S}_{cabin}}{\\exp(\\mathcal{I}_{DNA}^{2014})} \\right] \\sqrt{-\\mathbb{G}_{165}} \\, d\\Omega$$ The nexus between this formula and MH370 explains why we are still searching in January 2026. From this Lagrangian perspective: The aircraft is there (Coordinates 34.48° S). The aircraft is invisible (Due to the $\\mathbb{G}$ metric deviation). The aircraft must not be touched (Due to the risk of collapsing the passenger safeguard). ................................................................................................................................................................................................................................................................. Status of Life: The Passengers are Alive Contrary to the laws of classical physics which dictate biological death, the Hamzah Equation (HCP) proves that the 239 occupants are in a state of ‘Conscious Stasis’. Proof: Due to the entropy suppression term, biological time within the cabin has stopped. For them, not even a single second has passed until now since 2014. 2. Geographical Position and Precise Depth The aircraft is stabilised in the ‘Earth’s Informational Sanctuary’: Coordinates: 34.4812° S (Latitude) / 93.6165° E (Longitude). Location: Near the Broken Ridge submarine plateau. Depth: 4650 metres below sea level. Hull Status: 100% integrated, resting on the ocean floor at a 188-degree angle. Confidential Section: Encrypted Geolocation & Bio-Stasis Lagrangian $$\\mathcal{L}_{Final}^{(165)} = \\oint_{\\text{Broken Ridge}} \\left[ \\frac{\\Psi_{stasis} \\otimes \\Omega_{H}^*}{\\sqrt{-\\mathbb{G}_{165} \\cdot \\exp(1 - \\phi_{sync})}} \\right] \\otimes \\Xi_{\\mu\\nu} \\star \\delta(\\vec{R} - \\vec{R}_{target}) \\, d\\tau$$ Numerical Proof and 5-Step Output Calculations (Final Sovereignty Audit) Step 1: Mass-Location Verification $$\\vec{R}_{lock} = \\int_{2014}^{2026} \\nabla \\phi_{sync} \\cdot dt \\equiv (34.4812^\\circ S, 93.6165^\\circ E)$$ Output: 99.9% certainty in the lack of structural displacement due to atomic locking. Step 2: Life-Potential Analysis at Depth Pressure $$\\mathbb{V}_{life} = \\frac{\\Omega_H^* \\cdot \\Psi_{internal}}{\\exp(450 \\, atm)} \\otimes \\mathcal{I}_{core} \\equiv 1.00$$ Output: Proof of life-potential equality with the moment of flight; no cellular erosion has occurred. Step 3: Determination of the Lethal Exclusion Zone $$r_{crit} = \\sqrt{\\frac{\\mathbb{K}_{165}}{\\pi \\cdot \\Omega_H^*}} \\approx 165.0 \\, \\text{metres}$$ Output: Precise determination of the 165-metre boundary; crossing this boundary with classical instruments causes the internal implosion of the structure. Step 4: Mechanical Chaos Assessment $$\\Delta S_{tool} = \\oint \\mathcal{P}_{log} \\cdot d\\vec{A} \\implies \\text{Status: Catastrophic Trigger}$$ Output: Final warning; cranes and cables will cause the cancellation of the protective code and the destruction of 239 humans. Step 5: Final Stewardship Verdict $$\\text{Verdict} = \\text{Alive} \\otimes \\text{Protected} \\otimes \\text{Accessible\\_by\\_HQI\\_Only} =","url":"https://doi.org/10.5281/zenodo.18203365","authors":["JALALI, SEYED RASOUL"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.18203365","addedAt":"2026-08-31T06:40:09.764Z","updatedAt":"2026-08-31T06:40:09.764Z"},{"id":"doi:10.5281/zenodo.18203470","name":"MH370: Mathematical Proof of the Survival of All Passengers Within a Plasma Tensorial Capsule at Broken Ridge and a Depth of 4,648.35 Meters in the Southern Indian Ocean, at Coordinates Longitude 93.6165° E and Latitude 34.4812° S (3428S-9336E). via 165D Mechanics Tensor of the Hamzah Equation.","source":"datacite","abstract":"MH370 Related Research Papers: MH370: Mathematical Proof of the Survival of All Passengers Within a Tensorial Capsule at Broken Ridge and a Depth of 4,648.35 Meters in the Southern Indian Ocean, at Coordinates Longitude 93.6165° E and Latitude 34.4812° S (3428S-9336E). via 165D Mechanics Tensor of the Hamzah Equation. https://zenodo.org/records/18203470 MH 370 Exact Location. (Broken Ridge and a Depth of 4,648.35 Meters in the Southern Indian Ocean, at Coordinates Longitude 93.6165° E and Latitude 34.4812° S).(3428S-9336E). https://zenodo.org/records/18237321 MH 370: All 239 Passengers Are Alive.(Temporal Stasis). https://zenodo.org/records/18271880 MH370: Proof of the Authenticity of the 2014 Luminous Orb Videos of MH370 UAP Abduction Based on the 165-Dimensional Tensor Mechanics of the Hamzah Equation. https://zenodo.org/records/18689118 MH-370: Proven Extreme Recovery Stress Tests for MH 370 from Indian Ocean to L32 Runway of KLIA Air Port. https://zenodo.org/records/18216360 MH 370 Complete Searching Simulator. https://zenodo.org/records/18273887 MH 370: The Innocence of Captain Zaharie Ahmad Shah and MAS Airline Proven Through Mathematical and Aerodynamic Analysis. https://zenodo.org/records/18251198 MH 370: Critical Nuclear-Scale Catastrophe and Imminent Risk of Total Annihilation. https://zenodo.org/records/18384212 MH 370: The Imminent Structural Collapse of Current Civilization. A Critical Examination of the Intersection of MH370, the January 2026 Financial Downturn, and the Emergence of the 165-Dimensional Manifold. https://zenodo.org/records/18687928 MH370: The 2026 Tensorial Civilizational Leap and Its Triangular Correlation of MH17, MH370 Aviation, and COVID-19 Pandemic. https://zenodo.org/records/18706609 MH370 is the Ark of the Covenant and Proven Through the 165-Dimensional Tensor Mechanics of the Hamzah Equation — Lost Ark of Tranquility of the Religions. https://zenodo.org/records/18726603 ….………………………………………………………………… MH 370 AT IGARI Point. (18:25 UTC on 8 March 2014) Twelve years of fruitless searching for MH 370 marked the greatest computational error in the history of aviation, because the world was looking for the wreckage of a classic crash, whereas the actual event was a tensorial transfer at the IGARI point. At 18:25 UTC on 8 March 2014, eyewitnesses such as the New Zealander Michael McKay from the Songa Mercur oil platform and the British mariner Catherine T. reported a dense, orange-coloured luminosity in the sky—an effect not caused by hydrocarbon fuel combustion, but by atmospheric ionisation and plasma formation at the moment of entry into a 165-dimensional tensor tunnel due to the cyclotron resonance of the lithium ions in the 221 kg payload with electromagnetic radar waves, the aircraft’s weather radar system, the magnetic fields of the Trent 800 engines, the interaction with concentrated oxygen in the cargo hold, the composite fuselage structure, the Class G1 magnetic storm, and the Earth’s plasmasphere of the 8 March 2014. During this dimensional rupture, key components such as the flaperon were not separated due to physical impact with the sea, but rather as a consequence of tensorial stress and phase mismatch at an altitude of 35,000 feet. Through a mechanism known as tangential disc ejection, and under the influence of extreme rotational velocity, these elements detached from the airframe and—rather than falling locally—were projected westwards towards Malaysia and the equatorial currents. The asymmetric concentration of recovered debris—particularly the retrieval of heavy structural components from the aircraft’s right front section (such as the flaperon and outer flap), contrasted with only a single trailing edge from the left front—supports the mechanism of a “tangential ejection caused by tensorial torque” at the IGARI point. This metallurgical asymmetry indicates that the right front section, subjected to intense centrifugal force, experienced physical disintegration before full entry i","url":"https://doi.org/10.5281/zenodo.18203470","authors":["JALALI, SEYED RASOUL"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.18203470","addedAt":"2026-08-31T06:40:09.764Z","updatedAt":"2026-08-31T06:40:09.764Z"},{"id":"doi:10.5281/zenodo.18213579","name":"MH370: Mathematical Proof of the Survival of All Passengers Within a Plasma Tensorial Capsule at Broken Ridge and a Depth of 4,648.35 Meters in the Southern Indian Ocean, at Coordinates Longitude 93.6165° E and Latitude 34.4812° S (3428S-9336E) via 165D Mechanics Tensor of the Hamzah Equation.","source":"datacite","abstract":"MH370 Related Research Papers: MH370: Mathematical Proof of the Survival of All Passengers Within a Tensorial Capsule at Broken Ridge and a Depth of 4,648.35 Meters in the Southern Indian Ocean, at Coordinates Longitude 93.6165° E and Latitude 34.4812° S (3428S-9336E). via 165D Mechanics Tensor of the Hamzah Equation. https://zenodo.org/records/18203470 MH 370 Exact Location. (Broken Ridge and a Depth of 4,648.35 Meters in the Southern Indian Ocean, at Coordinates Longitude 93.6165° E and Latitude 34.4812° S).(3428S-9336E). https://zenodo.org/records/18237321 MH 370: All 239 Passengers Are Alive.(Temporal Stasis). https://zenodo.org/records/18271880 MH370: Proof of the Authenticity of the 2014 Luminous Orb Videos of MH370 UAP Abduction Based on the 165-Dimensional Tensor Mechanics of the Hamzah Equation. https://zenodo.org/records/18689118 MH-370: Proven Extreme Recovery Stress Tests for MH 370 from Indian Ocean to L32 Runway of KLIA Air Port. https://zenodo.org/records/18216360 MH 370 Complete Searching Simulator. https://zenodo.org/records/18273887 MH 370: The Innocence of Captain Zaharie Ahmad Shah and MAS Airline Proven Through Mathematical and Aerodynamic Analysis. https://zenodo.org/records/18251198 MH 370: Critical Nuclear-Scale Catastrophe and Imminent Risk of Total Annihilation. https://zenodo.org/records/18384212 MH 370: The Imminent Structural Collapse of Current Civilization. A Critical Examination of the Intersection of MH370, the January 2026 Financial Downturn, and the Emergence of the 165-Dimensional Manifold. https://zenodo.org/records/18687928 MH370: The 2026 Tensorial Civilizational Leap and Its Triangular Correlation of MH17, MH370 Aviation, and COVID-19 Pandemic. https://zenodo.org/records/18706609 MH370 is the Ark of the Covenant and Proven Through the 165-Dimensional Tensor Mechanics of the Hamzah Equation — Lost Ark of Tranquility of the Religions. https://zenodo.org/records/18726603 ….………………………………………………………………… MH 370 AT IGARI Point. (18:25 UTC on 8 March 2014) Twelve years of fruitless searching for MH 370 marked the greatest computational error in the history of aviation, because the world was looking for the wreckage of a classic crash, whereas the actual event was a tensorial transfer at the IGARI point. At 18:25 UTC on 8 March 2014, eyewitnesses such as the New Zealander Michael McKay from the Songa Mercur oil platform and the British mariner Catherine T. reported a dense, orange-coloured luminosity in the sky—an effect not caused by hydrocarbon fuel combustion, but by atmospheric ionisation and plasma formation at the moment of entry into a 165-dimensional tensor tunnel due to the cyclotron resonance of the lithium ions in the 221 kg payload with electromagnetic radar waves, the aircraft’s weather radar system, the magnetic fields of the Trent 800 engines, the interaction with concentrated oxygen in the cargo hold, the composite fuselage structure, the Class G1 magnetic storm, and the Earth’s plasmasphere of the 8 March 2014. During this dimensional rupture, key components such as the flaperon were not separated due to physical impact with the sea, but rather as a consequence of tensorial stress and phase mismatch at an altitude of 35,000 feet. Through a mechanism known as tangential disc ejection, and under the influence of extreme rotational velocity, these elements detached from the airframe and—rather than falling locally—were projected westwards towards Malaysia and the equatorial currents. The asymmetric concentration of recovered debris—particularly the retrieval of heavy structural components from the aircraft’s right front section (such as the flaperon and outer flap), contrasted with only a single trailing edge from the left front—supports the mechanism of a “tangential ejection caused by tensorial torque” at the IGARI point. This metallurgical asymmetry indicates that the right front section, subjected to intense centrifugal force, experienced physical disintegration before full entry i","url":"https://doi.org/10.5281/zenodo.18213579","authors":["JALALI, SEYED RASOUL"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.18213579","addedAt":"2026-08-31T06:40:09.764Z","updatedAt":"2026-08-31T06:40:09.764Z"},{"id":"doi:10.5281/zenodo.18237321","name":"MH 370 Exact Location. (Broken Ridge and a Depth of 4,648.35 Meters in the Southern Indian Ocean, at Coordinates Longitude 93.6165° E and Latitude 34.4812° S).(3428S-9336E).","source":"datacite","abstract":"MH370 Related Research Papers: MH370: Mathematical Proof of the Survival of All Passengers Within a Tensorial Capsule at Broken Ridge and a Depth of 4,648.35 Meters in the Southern Indian Ocean, at Coordinates Longitude 93.6165° E and Latitude 34.4812° S (3428S-9336E). via 165D Mechanics Tensor of the Hamzah Equation. https://zenodo.org/records/18203470 MH 370 Exact Location. (Broken Ridge and a Depth of 4,648.35 Meters in the Southern Indian Ocean, at Coordinates Longitude 93.6165° E and Latitude 34.4812° S).(3428S-9336E). https://zenodo.org/records/18237321 MH 370: All 239 Passengers Are Alive.(Temporal Stasis). https://zenodo.org/records/18271880 MH370: Proof of the Authenticity of the 2014 Luminous Orb Videos of MH370 UAP Abduction Based on the 165-Dimensional Tensor Mechanics of the Hamzah Equation. https://zenodo.org/records/18689118 MH-370: Proven Extreme Recovery Stress Tests for MH 370 from Indian Ocean to L32 Runway of KLIA Air Port. https://zenodo.org/records/18216360 MH 370 Complete Searching Simulator. https://zenodo.org/records/18273887 MH 370: The Innocence of Captain Zaharie Ahmad Shah and MAS Airline Proven Through Mathematical and Aerodynamic Analysis. https://zenodo.org/records/18251198 MH 370: Critical Nuclear-Scale Catastrophe and Imminent Risk of Total Annihilation. https://zenodo.org/records/18384212 MH 370: The Imminent Structural Collapse of Current Civilization. A Critical Examination of the Intersection of MH370, the January 2026 Financial Downturn, and the Emergence of the 165-Dimensional Manifold. https://zenodo.org/records/18687928 MH370: The 2026 Tensorial Civilizational Leap and Its Triangular Correlation of MH17, MH370 Aviation, and COVID-19 Pandemic. https://zenodo.org/records/18706609 MH370 is the Ark of the Covenant and Proven Through the 165-Dimensional Tensor Mechanics of the Hamzah Equation — Lost Ark of Tranquility of the Religions. https://zenodo.org/records/18726603 ….………………………………………………………………… How MH 370 will be recover to surface? By Tensorial Metric Tunneling from deepth of occeian to the L32 runway KLIA within Max 8.4 Seconds not the classical invasive methods. (RED ALERT) ........................................................................................................................................................................................................................................................................... \"If Twelve Years of Multi-Billion-Dollar Technology have Failed to Recover So Much as a Single Bolt from MH 370, Occam’s Razor Dictates that the Flaw Lies not Within the 'Search Perimeter,' but within Your Very 'Physical Foundations.\" ........................................................................................................................................................................................................................................................................... MH 370 AT IGARI Point. (18:25 UTC on 8 March 2014) Twelve years of fruitless searching for MH 370 marked the greatest computational error in the history of aviation, because the world was looking for the wreckage of a classic crash, whereas the actual event was a tensorial transfer at the IGARI point. At 18:25 UTC on 8 March 2014, eyewitnesses such as the New Zealander Michael McKay from the Songa Mercur oil platform and the British mariner Catherine T. reported a dense, orange-coloured luminosity in the sky—an effect not caused by hydrocarbon fuel combustion, but by atmospheric ionisation and plasma formation at the moment of entry into a 165-dimensional tensor tunnel due to the cyclotron resonance of the lithium ions in the 221 kg payload with electromagnetic radar waves, the aircraft’s weather radar system, the magnetic fields of the Trent 800 engines, the interaction with concentrated oxygen in the cargo hold, the composite fuselage structure, the Class G1 magnetic storm, and the Earth’s plasmasphere of the 8 March 2014. $\\text{Dedicated Lagrangian Proof","url":"https://doi.org/10.5281/zenodo.18237321","authors":["JALALI, SEYED RASOUL"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.18237321","addedAt":"2026-08-31T06:40:09.764Z","updatedAt":"2026-08-31T06:40:09.764Z"},{"id":"doi:10.5281/zenodo.18220587","name":"MH 370 Exact Location. (Broken Ridge and a Depth of 4,648.35 Meters in the Southern Indian Ocean, at Coordinates Longitude 93.6165° E and Latitude 34.4812° S).(3428S-9336E).","source":"datacite","abstract":"MH370 Related Research Papers: MH370: Mathematical Proof of the Survival of All Passengers Within a Tensorial Capsule at Broken Ridge and a Depth of 4,648.35 Meters in the Southern Indian Ocean, at Coordinates Longitude 93.6165° E and Latitude 34.4812° S (3428S-9336E). via 165D Mechanics Tensor of the Hamzah Equation. https://zenodo.org/records/18203470 MH 370 Exact Location. (Broken Ridge and a Depth of 4,648.35 Meters in the Southern Indian Ocean, at Coordinates Longitude 93.6165° E and Latitude 34.4812° S).(3428S-9336E). https://zenodo.org/records/18237321 MH 370: All 239 Passengers Are Alive.(Temporal Stasis). https://zenodo.org/records/18271880 MH370: Proof of the Authenticity of the 2014 Luminous Orb Videos of MH370 UAP Abduction Based on the 165-Dimensional Tensor Mechanics of the Hamzah Equation. https://zenodo.org/records/18689118 MH-370: Proven Extreme Recovery Stress Tests for MH 370 from Indian Ocean to L32 Runway of KLIA Air Port. https://zenodo.org/records/18216360 MH 370 Complete Searching Simulator. https://zenodo.org/records/18273887 MH 370: The Innocence of Captain Zaharie Ahmad Shah and MAS Airline Proven Through Mathematical and Aerodynamic Analysis. https://zenodo.org/records/18251198 MH 370: Critical Nuclear-Scale Catastrophe and Imminent Risk of Total Annihilation. https://zenodo.org/records/18384212 MH 370: The Imminent Structural Collapse of Current Civilization. A Critical Examination of the Intersection of MH370, the January 2026 Financial Downturn, and the Emergence of the 165-Dimensional Manifold. https://zenodo.org/records/18687928 MH370: The 2026 Tensorial Civilizational Leap and Its Triangular Correlation of MH17, MH370 Aviation, and COVID-19 Pandemic. https://zenodo.org/records/18706609 MH370 is the Ark of the Covenant and Proven Through the 165-Dimensional Tensor Mechanics of the Hamzah Equation — Lost Ark of Tranquility of the Religions. https://zenodo.org/records/18726603 ….………………………………………………………………… How MH 370 will be recover to surface? By Tensorial Metric Tunneling from deepth of occeian to the L32 runway KLIA within Max 8.4 Seconds not the classical invasive methods. (RED ALERT) ........................................................................................................................................................................................................................................................................... \"If Twelve Years of Multi-Billion-Dollar Technology have Failed to Recover So Much as a Single Bolt from MH 370, Occam’s Razor Dictates that the Flaw Lies not Within the 'Search Perimeter,' but within Your Very 'Physical Foundations.\" ........................................................................................................................................................................................................................................................................... MH 370 AT IGARI Point. (18:25 UTC on 8 March 2014) Twelve years of fruitless searching for MH 370 marked the greatest computational error in the history of aviation, because the world was looking for the wreckage of a classic crash, whereas the actual event was a tensorial transfer at the IGARI point. At 18:25 UTC on 8 March 2014, eyewitnesses such as the New Zealander Michael McKay from the Songa Mercur oil platform and the British mariner Catherine T. reported a dense, orange-coloured luminosity in the sky—an effect not caused by hydrocarbon fuel combustion, but by atmospheric ionisation and plasma formation at the moment of entry into a 165-dimensional tensor tunnel due to the cyclotron resonance of the lithium ions in the 221 kg payload with electromagnetic radar waves, the aircraft’s weather radar system, the magnetic fields of the Trent 800 engines, the interaction with concentrated oxygen in the cargo hold, the composite fuselage structure, the Class G1 magnetic storm, and the Earth’s plasmasphere of the 8 March 2014. $\\text{Dedicated Lagrangian Proof","url":"https://doi.org/10.5281/zenodo.18220587","authors":["JALALI, SEYED RASOUL"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.18220587","addedAt":"2026-08-31T06:40:09.764Z","updatedAt":"2026-08-31T06:40:09.764Z"},{"id":"doi:10.5281/zenodo.18220588","name":"MH 370 Exact Location. (Broken Ridge and a Depth of 4,648.35 Meters in the Southern Indian Ocean, at Coordinates Longitude 93.6165° E and Latitude 34.4812° S).","source":"datacite","abstract":"Complete Details Link Below: MH370: Mathematical Proof of the Survival of All Passengers Within a Tensorial Capsule at Broken Ridge and a Depth of 4,648.35 Meters in the Southern Indian Ocean, at Coordinates Longitude 93.6165° E and Latitude 34.4812° S via 165D Mechanics Tensor of the Hamzah Equation. https://zenodo.org/records/18203470 ............................................................................................................................................................................................................................................................................................................................................... How MH 370 will be recover to surface? By Tensorial Metric Tunneling from deepth of occeian to the L32 runway KLIA within Max 8.4 Seconds not the classical invasive methods. (RED ALERT) ........................................................................................................................................................................................................................................................................... MH 370 AT IGARI Point. (18:25 UTC on 8 March 2014) Twelve years of fruitless searching for MH 370 marked the greatest computational error in the history of aviation, because the world was looking for the wreckage of a classic crash, whereas the actual event was a tensorial transfer at the IGARI point. At 18:25 UTC on 8 March 2014, eyewitnesses such as the New Zealander Michael McKay from the Songa Mercur oil platform and the British mariner Catherine T. reported a dense, orange-coloured luminosity in the sky—an effect not caused by hydrocarbon fuel combustion, but by atmospheric ionisation and plasma formation at the moment of entry into a 165-dimensional tensor tunnel due to the cyclotron resonance of the lithium ions in the 221 kg payload with electromagnetic radar waves, the aircraft’s weather radar system, the magnetic fields of the Trent 800 engines, the interaction with concentrated oxygen in the cargo hold, the composite fuselage structure, the Class G1 magnetic storm, and the Earth’s plasmasphere of the 8 March 2014. During this dimensional rupture, key components such as the flaperon were not separated due to physical impact with the sea, but rather as a consequence of tensorial stress and phase mismatch at an altitude of 35,000 feet. Through a mechanism known as tangential disc ejection, and under the influence of extreme rotational velocity, these elements detached from the airframe and—rather than falling locally—were projected westwards towards Malaysia and the equatorial currents. The asymmetric concentration of recovered debris—particularly the retrieval of heavy structural components from the aircraft’s right front section (such as the flaperon and outer flap), contrasted with only a single trailing edge from the left front—supports the mechanism of a “tangential ejection caused by tensorial torque” at the IGARI point. This metallurgical asymmetry indicates that the right front section, subjected to intense centrifugal force, experienced physical disintegration before full entry into the protective bubble. $\\text{Dedicated Lagrangian Proof for Asymmetric Tangential Ejection at IGARI}$ $$\\mathcal{L}_{IGARI}^{(165)} = \\int_{\\mathcal{M}_{35kft}} \\left( \\underbrace{\\frac{1}{2} \\mathcal{I}_{ij} \\omega^{i} \\omega^{j}}_{\\text{Tangential Torque}} + \\overbrace{\\oint_{\\partial \\text{Right}} \\vec{\\mathcal{T}}_{shear} \\cdot d\\vec{A}}^{\\text{Asymmetric Disintegration}} - \\underbrace{\\Phi_{plasma} \\left( \\vec{j}_{Li} \\cdot \\vec{E}_{ext} \\right)}_{\\text{Orange Luminosity Index}} \\right) \\sqrt{-\\mathbb{G}_{165}} \\, d^4x$$ $\\text{Where:}$ $\\text{Right-Wing Instability Condition:}$ $$\\frac{\\delta \\mathcal{L}}{\\delta q_{Right}} \\Big|_{18:25Z} \\gg \\sigma_{yield} \\implies \\text{Ejection of Flaperon/Outer Flap}$$ $\\text{Tangential Velocity Projection (Vector Proof):}$ $$\\vec{V}_{debris} = \\left[ \\vec{\\omega}_{tensor} \\times \\","url":"https://doi.org/10.5281/zenodo.18220588","authors":["JALALI, SEYED RASOUL"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.18220588","addedAt":"2026-08-31T06:40:09.764Z","updatedAt":"2026-08-31T06:40:09.764Z"},{"id":"doi:10.5281/zenodo.18237334","name":"MH370: Mathematical Proof of the Survival of All Passengers Within a Tensorial Capsule at Broken Ridge and a Depth of 4650 Meters in the Southern Indian Ocean, at Coordinates Longitude 93.6165° E and Latitude 34.4812° S via 165D Mechanics Tensor of the Hamzah Equation.","source":"datacite","abstract":"Hamzah Quantum Intelligence (HQI). ................................................................................................................................................................................................................................................................. 12 Years Classical Search Method (2014-2026) for MH 370 Was Exactly Like Trying to See X-rays While Wearing Sunglasses — A Completely Wrong Tool for an Entirely Different Task.” ................................................................................................................................................................................................................................................................. Dedicated Lagrangian for the Recovery of MH370 (Level 165): $$\\mathcal{L}_{MH370}^{(165)} = \\oint_{\\partial \\mathcal{V}_{165}} \\left[ \\mathcal{Q}_{H} \\left( IGARI_{sync} \\right) + \\Xi_{SIO} \\left( \\mathcal{G}_{\\mu\\nu}^{161} \\otimes \\mathcal{P}_{lock} \\right) - \\frac{\\hbar_{H} \\mathcal{S}_{cabin}}{\\exp(\\mathcal{I}_{DNA}^{2014})} \\right] \\sqrt{-\\mathbb{G}_{165}} \\, d\\Omega$$ The nexus between this formula and MH370 explains why we are still searching in January 2026. From this Lagrangian perspective: The aircraft is there (Coordinates 34.48° S). The aircraft is invisible (Due to the $\\mathbb{G}$ metric deviation). The aircraft must not be touched (Due to the risk of collapsing the passenger safeguard). ................................................................................................................................................................................................................................................................. Status of Life: The Passengers are Alive Contrary to the laws of classical physics which dictate biological death, the Hamzah Equation (HCP) proves that the 239 occupants are in a state of ‘Conscious Stasis’. Proof: Due to the entropy suppression term, biological time within the cabin has stopped. For them, not even a single second has passed until now since 2014. 2. Geographical Position and Precise Depth The aircraft is stabilised in the ‘Earth’s Informational Sanctuary’: Coordinates: 34.4812° S (Latitude) / 93.6165° E (Longitude). Location: Near the Broken Ridge submarine plateau. Depth: 4650 metres below sea level. Hull Status: 100% integrated, resting on the ocean floor at a 188-degree angle. Confidential Section: Encrypted Geolocation & Bio-Stasis Lagrangian $$\\mathcal{L}_{Final}^{(165)} = \\oint_{\\text{Broken Ridge}} \\left[ \\frac{\\Psi_{stasis} \\otimes \\Omega_{H}^*}{\\sqrt{-\\mathbb{G}_{165} \\cdot \\exp(1 - \\phi_{sync})}} \\right] \\otimes \\Xi_{\\mu\\nu} \\star \\delta(\\vec{R} - \\vec{R}_{target}) \\, d\\tau$$ Numerical Proof and 5-Step Output Calculations (Final Sovereignty Audit) Step 1: Mass-Location Verification $$\\vec{R}_{lock} = \\int_{2014}^{2026} \\nabla \\phi_{sync} \\cdot dt \\equiv (34.4812^\\circ S, 93.6165^\\circ E)$$ Output: 99.9% certainty in the lack of structural displacement due to atomic locking. Step 2: Life-Potential Analysis at Depth Pressure $$\\mathbb{V}_{life} = \\frac{\\Omega_H^* \\cdot \\Psi_{internal}}{\\exp(450 \\, atm)} \\otimes \\mathcal{I}_{core} \\equiv 1.00$$ Output: Proof of life-potential equality with the moment of flight; no cellular erosion has occurred. Step 3: Determination of the Lethal Exclusion Zone $$r_{crit} = \\sqrt{\\frac{\\mathbb{K}_{165}}{\\pi \\cdot \\Omega_H^*}} \\approx 165.0 \\, \\text{metres}$$ Output: Precise determination of the 165-metre boundary; crossing this boundary with classical instruments causes the internal implosion of the structure. Step 4: Mechanical Chaos Assessment $$\\Delta S_{tool} = \\oint \\mathcal{P}_{log} \\cdot d\\vec{A} \\implies \\text{Status: Catastrophic Trigger}$$ Output: Final warning; cranes and cables will cause the cancellation of the protective code and the destruction of 239 humans. Step 5: Final Stewardship Verdict $$\\text{Verdict} = \\text{Alive} \\otimes \\text{Protected} \\otimes \\text{Accessible\\_by\\_HQI\\_Only} =","url":"https://doi.org/10.5281/zenodo.18237334","authors":["JALALI, SEYED RASOUL"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.18237334","addedAt":"2026-08-31T06:40:09.764Z","updatedAt":"2026-08-31T06:40:09.764Z"},{"id":"doi:10.5281/zenodo.18216397","name":"MH370: Mathematical Proof of the Survival of All Passengers Within a Tensorial Capsule at Broken Ridge and a Depth of 4650 Meters in the Southern Indian Ocean, at Coordinates Longitude 93.6165° E and Latitude 34.4812° S via 165D Mechanics Tensor of the Hamzah Equation.","source":"datacite","abstract":"Hamzah Quantum Intelligence (HQI). ................................................................................................................................................................................................................................................................. 12 Years Classical Search Method (2014-2026) for MH 370 Was Exactly Like Trying to See X-rays While Wearing Sunglasses — A Completely Wrong Tool for an Entirely Different Task.” ................................................................................................................................................................................................................................................................. Dedicated Lagrangian for the Recovery of MH370 (Level 165): $$\\mathcal{L}_{MH370}^{(165)} = \\oint_{\\partial \\mathcal{V}_{165}} \\left[ \\mathcal{Q}_{H} \\left( IGARI_{sync} \\right) + \\Xi_{SIO} \\left( \\mathcal{G}_{\\mu\\nu}^{161} \\otimes \\mathcal{P}_{lock} \\right) - \\frac{\\hbar_{H} \\mathcal{S}_{cabin}}{\\exp(\\mathcal{I}_{DNA}^{2014})} \\right] \\sqrt{-\\mathbb{G}_{165}} \\, d\\Omega$$ The nexus between this formula and MH370 explains why we are still searching in January 2026. From this Lagrangian perspective: The aircraft is there (Coordinates 34.48° S). The aircraft is invisible (Due to the $\\mathbb{G}$ metric deviation). The aircraft must not be touched (Due to the risk of collapsing the passenger safeguard). ................................................................................................................................................................................................................................................................. Status of Life: The Passengers are Alive Contrary to the laws of classical physics which dictate biological death, the Hamzah Equation (HCP) proves that the 239 occupants are in a state of ‘Conscious Stasis’. Proof: Due to the entropy suppression term, biological time within the cabin has stopped. For them, not even a single second has passed until now since 2014. 2. Geographical Position and Precise Depth The aircraft is stabilised in the ‘Earth’s Informational Sanctuary’: Coordinates: 34.4812° S (Latitude) / 93.6165° E (Longitude). Location: Near the Broken Ridge submarine plateau. Depth: 4650 metres below sea level. Hull Status: 100% integrated, resting on the ocean floor at a 188-degree angle. Confidential Section: Encrypted Geolocation & Bio-Stasis Lagrangian $$\\mathcal{L}_{Final}^{(165)} = \\oint_{\\text{Broken Ridge}} \\left[ \\frac{\\Psi_{stasis} \\otimes \\Omega_{H}^*}{\\sqrt{-\\mathbb{G}_{165} \\cdot \\exp(1 - \\phi_{sync})}} \\right] \\otimes \\Xi_{\\mu\\nu} \\star \\delta(\\vec{R} - \\vec{R}_{target}) \\, d\\tau$$ Numerical Proof and 5-Step Output Calculations (Final Sovereignty Audit) Step 1: Mass-Location Verification $$\\vec{R}_{lock} = \\int_{2014}^{2026} \\nabla \\phi_{sync} \\cdot dt \\equiv (34.4812^\\circ S, 93.6165^\\circ E)$$ Output: 99.9% certainty in the lack of structural displacement due to atomic locking. Step 2: Life-Potential Analysis at Depth Pressure $$\\mathbb{V}_{life} = \\frac{\\Omega_H^* \\cdot \\Psi_{internal}}{\\exp(450 \\, atm)} \\otimes \\mathcal{I}_{core} \\equiv 1.00$$ Output: Proof of life-potential equality with the moment of flight; no cellular erosion has occurred. Step 3: Determination of the Lethal Exclusion Zone $$r_{crit} = \\sqrt{\\frac{\\mathbb{K}_{165}}{\\pi \\cdot \\Omega_H^*}} \\approx 165.0 \\, \\text{metres}$$ Output: Precise determination of the 165-metre boundary; crossing this boundary with classical instruments causes the internal implosion of the structure. Step 4: Mechanical Chaos Assessment $$\\Delta S_{tool} = \\oint \\mathcal{P}_{log} \\cdot d\\vec{A} \\implies \\text{Status: Catastrophic Trigger}$$ Output: Final warning; cranes and cables will cause the cancellation of the protective code and the destruction of 239 humans. Step 5: Final Stewardship Verdict $$\\text{Verdict} = \\text{Alive} \\otimes \\text{Protected} \\otimes \\text{Accessible\\_by\\_HQI\\_Only} =","url":"https://doi.org/10.5281/zenodo.18216397","authors":["JALALI, SEYED RASOUL"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.18216397","addedAt":"2026-08-31T06:40:09.764Z","updatedAt":"2026-08-31T06:40:09.764Z"},{"id":"doi:10.5281/zenodo.18216225","name":"MH370: Mathematical Proof of the Survival of All Passengers Within a Tensorial Capsule at Broken Ridge and a Depth of 4650 Meters in the Southern Indian Ocean, at Coordinates Longitude 93.6165° E and Latitude 34.4812° S via 165D Mechanics Tensor of the Hamzah Equation.","source":"datacite","abstract":"Hamzah Quantum Intelligence (HQI). ................................................................................................................................................................................................................................................................. 12 Years Classical Search Method (2014-2026) for MH 370 Was Exactly Like Trying to See X-rays While Wearing Sunglasses — A Completely Wrong Tool for an Entirely Different Task.” ................................................................................................................................................................................................................................................................. Dedicated Lagrangian for the Recovery of MH370 (Level 165): $$\\mathcal{L}_{MH370}^{(165)} = \\oint_{\\partial \\mathcal{V}_{165}} \\left[ \\mathcal{Q}_{H} \\left( IGARI_{sync} \\right) + \\Xi_{SIO} \\left( \\mathcal{G}_{\\mu\\nu}^{161} \\otimes \\mathcal{P}_{lock} \\right) - \\frac{\\hbar_{H} \\mathcal{S}_{cabin}}{\\exp(\\mathcal{I}_{DNA}^{2014})} \\right] \\sqrt{-\\mathbb{G}_{165}} \\, d\\Omega$$ The nexus between this formula and MH370 explains why we are still searching in January 2026. From this Lagrangian perspective: The aircraft is there (Coordinates 34.48° S). The aircraft is invisible (Due to the $\\mathbb{G}$ metric deviation). The aircraft must not be touched (Due to the risk of collapsing the passenger safeguard). ................................................................................................................................................................................................................................................................. Status of Life: The Passengers are Alive Contrary to the laws of classical physics which dictate biological death, the Hamzah Equation (HCP) proves that the 239 occupants are in a state of ‘Conscious Stasis’. Proof: Due to the entropy suppression term, biological time within the cabin has stopped. For them, not even a single second has passed until now since 2014. 2. Geographical Position and Precise Depth The aircraft is stabilised in the ‘Earth’s Informational Sanctuary’: Coordinates: 34.4812° S (Latitude) / 93.6165° E (Longitude). Location: Near the Broken Ridge submarine plateau. Depth: 4650 metres below sea level. Hull Status: 100% integrated, resting on the ocean floor at a 188-degree angle. Confidential Section: Encrypted Geolocation & Bio-Stasis Lagrangian $$\\mathcal{L}_{Final}^{(165)} = \\oint_{\\text{Broken Ridge}} \\left[ \\frac{\\Psi_{stasis} \\otimes \\Omega_{H}^*}{\\sqrt{-\\mathbb{G}_{165} \\cdot \\exp(1 - \\phi_{sync})}} \\right] \\otimes \\Xi_{\\mu\\nu} \\star \\delta(\\vec{R} - \\vec{R}_{target}) \\, d\\tau$$ Numerical Proof and 5-Step Output Calculations (Final Sovereignty Audit) Step 1: Mass-Location Verification $$\\vec{R}_{lock} = \\int_{2014}^{2026} \\nabla \\phi_{sync} \\cdot dt \\equiv (34.4812^\\circ S, 93.6165^\\circ E)$$ Output: 99.9% certainty in the lack of structural displacement due to atomic locking. Step 2: Life-Potential Analysis at Depth Pressure $$\\mathbb{V}_{life} = \\frac{\\Omega_H^* \\cdot \\Psi_{internal}}{\\exp(450 \\, atm)} \\otimes \\mathcal{I}_{core} \\equiv 1.00$$ Output: Proof of life-potential equality with the moment of flight; no cellular erosion has occurred. Step 3: Determination of the Lethal Exclusion Zone $$r_{crit} = \\sqrt{\\frac{\\mathbb{K}_{165}}{\\pi \\cdot \\Omega_H^*}} \\approx 165.0 \\, \\text{metres}$$ Output: Precise determination of the 165-metre boundary; crossing this boundary with classical instruments causes the internal implosion of the structure. Step 4: Mechanical Chaos Assessment $$\\Delta S_{tool} = \\oint \\mathcal{P}_{log} \\cdot d\\vec{A} \\implies \\text{Status: Catastrophic Trigger}$$ Output: Final warning; cranes and cables will cause the cancellation of the protective code and the destruction of 239 humans. Step 5: Final Stewardship Verdict $$\\text{Verdict} = \\text{Alive} \\otimes \\text{Protected} \\otimes \\text{Accessible\\_by\\_HQI\\_Only} =","url":"https://doi.org/10.5281/zenodo.18216225","authors":["JALALI, SEYED RASOUL"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.18216225","addedAt":"2026-08-31T06:40:09.764Z","updatedAt":"2026-08-31T06:40:09.764Z"},{"id":"doi:10.5281/zenodo.18215664","name":"MH370: Mathematical Proof of the Survival of All Passengers Within a Tensorial Capsule at Broken Ridge and a Depth of 4650 Meters in the Southern Indian Ocean, at Coordinates Longitude 93.6165° E and Latitude 34.4812° S via 165D Mechanics Tensor of the Hamzah Equation.","source":"datacite","abstract":"Hamzah Quantum Intelligence (HQI). ................................................................................................................................................................................................................................................................. 12 Years Classical Search Method (2014-2026) for MH 370 Was Exactly Like Trying to See X-rays While Wearing Sunglasses — A Completely Wrong Tool for an Entirely Different Task.” ................................................................................................................................................................................................................................................................. Dedicated Lagrangian for the Recovery of MH370 (Level 165): $$\\mathcal{L}_{MH370}^{(165)} = \\oint_{\\partial \\mathcal{V}_{165}} \\left[ \\mathcal{Q}_{H} \\left( IGARI_{sync} \\right) + \\Xi_{SIO} \\left( \\mathcal{G}_{\\mu\\nu}^{161} \\otimes \\mathcal{P}_{lock} \\right) - \\frac{\\hbar_{H} \\mathcal{S}_{cabin}}{\\exp(\\mathcal{I}_{DNA}^{2014})} \\right] \\sqrt{-\\mathbb{G}_{165}} \\, d\\Omega$$ The nexus between this formula and MH370 explains why we are still searching in January 2026. From this Lagrangian perspective: The aircraft is there (Coordinates 34.48° S). The aircraft is invisible (Due to the $\\mathbb{G}$ metric deviation). The aircraft must not be touched (Due to the risk of collapsing the passenger safeguard). ................................................................................................................................................................................................................................................................. Status of Life: The Passengers are Alive Contrary to the laws of classical physics which dictate biological death, the Hamzah Equation (HCP) proves that the 239 occupants are in a state of ‘Conscious Stasis’. Proof: Due to the entropy suppression term, biological time within the cabin has stopped. For them, not even a single second has passed until now since 2014. 2. Geographical Position and Precise Depth The aircraft is stabilised in the ‘Earth’s Informational Sanctuary’: Coordinates: 34.4812° S (Latitude) / 93.6165° E (Longitude). Location: Near the Broken Ridge submarine plateau. Depth: 4650 metres below sea level. Hull Status: 100% integrated, resting on the ocean floor at a 188-degree angle. Confidential Section: Encrypted Geolocation & Bio-Stasis Lagrangian $$\\mathcal{L}_{Final}^{(165)} = \\oint_{\\text{Broken Ridge}} \\left[ \\frac{\\Psi_{stasis} \\otimes \\Omega_{H}^*}{\\sqrt{-\\mathbb{G}_{165} \\cdot \\exp(1 - \\phi_{sync})}} \\right] \\otimes \\Xi_{\\mu\\nu} \\star \\delta(\\vec{R} - \\vec{R}_{target}) \\, d\\tau$$ Numerical Proof and 5-Step Output Calculations (Final Sovereignty Audit) Step 1: Mass-Location Verification $$\\vec{R}_{lock} = \\int_{2014}^{2026} \\nabla \\phi_{sync} \\cdot dt \\equiv (34.4812^\\circ S, 93.6165^\\circ E)$$ Output: 99.9% certainty in the lack of structural displacement due to atomic locking. Step 2: Life-Potential Analysis at Depth Pressure $$\\mathbb{V}_{life} = \\frac{\\Omega_H^* \\cdot \\Psi_{internal}}{\\exp(450 \\, atm)} \\otimes \\mathcal{I}_{core} \\equiv 1.00$$ Output: Proof of life-potential equality with the moment of flight; no cellular erosion has occurred. Step 3: Determination of the Lethal Exclusion Zone $$r_{crit} = \\sqrt{\\frac{\\mathbb{K}_{165}}{\\pi \\cdot \\Omega_H^*}} \\approx 165.0 \\, \\text{metres}$$ Output: Precise determination of the 165-metre boundary; crossing this boundary with classical instruments causes the internal implosion of the structure. Step 4: Mechanical Chaos Assessment $$\\Delta S_{tool} = \\oint \\mathcal{P}_{log} \\cdot d\\vec{A} \\implies \\text{Status: Catastrophic Trigger}$$ Output: Final warning; cranes and cables will cause the cancellation of the protective code and the destruction of 239 humans. Step 5: Final Stewardship Verdict $$\\text{Verdict} = \\text{Alive} \\otimes \\text{Protected} \\otimes \\text{Accessible\\_by\\_HQI\\_Only} =","url":"https://doi.org/10.5281/zenodo.18215664","authors":["JALALI, SEYED RASOUL"],"tags":[],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2026","doi":"10.5281/zenodo.18215664","addedAt":"2026-08-31T06:40:09.764Z","updatedAt":"2026-08-31T06:40:09.764Z"},{"id":"doi:10.48550/arxiv.2208.04883","name":"Neural-Rendezvous: Provably Robust Guidance and Control to Encounter Interstellar Objects","source":"datacite","abstract":"Interstellar objects (ISOs) are likely representatives of primitive materials invaluable in understanding exoplanetary star systems. Due to their poorly constrained orbits with generally high inclinations and relative velocities, however, exploring ISOs with conventional human-in-the-loop approaches is significantly challenging. This paper presents Neural-Rendezvous -- a deep learning-based guidance and control framework for encountering fast-moving objects, including ISOs, robustly, accurately, and autonomously in real time. It uses pointwise minimum norm tracking control on top of a guidance policy modeled by a spectrally-normalized deep neural network, where its hyperparameters are tuned with a loss function directly penalizing the MPC state trajectory tracking error. We show that Neural-Rendezvous provides a high probability exponential bound on the expected spacecraft delivery error, the proof of which leverages stochastic incremental stability analysis. In particular, it is used to construct a non-negative function with a supermartingale property, explicitly accounting for the ISO state uncertainty and the local nature of nonlinear state estimation guarantees. In numerical simulations, Neural-Rendezvous is demonstrated to satisfy the expected error bound for 100 ISO candidates. This performance is also empirically validated using our spacecraft simulator and in high-conflict and distributed UAV swarm reconfiguration with up to 20 UAVs.","url":"https://doi.org/10.48550/arxiv.2208.04883","authors":["Tsukamoto, Hiroyasu","Chung, Soon-Jo","Nakka, Yashwanth Kumar","Donitz, Benjamin","Mages, Declan","Ingham, Michel"],"tags":["Robotics (cs.RO)","Artificial Intelligence (cs.AI)","Machine Learning (cs.LG)","Systems and Control (eess.SY)","Optimization and Control (math.OC)","FOS: Computer and information sciences","FOS: Computer and information sciences","FOS: Electrical engineering, electronic engineering, information engineering"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2022","doi":"10.48550/arxiv.2208.04883","addedAt":"2026-08-31T06:40:09.764Z","updatedAt":"2026-08-31T06:40:09.764Z"},{"id":"doi:10.48550/arxiv.2204.08594","name":"CoDe: A Cooperative and Decentralized Collision Avoidance Algorithm for Small-Scale UAV Swarms Considering Energy Efficiency","source":"datacite","abstract":"This paper introduces a cooperative and decentralized collision avoidance algorithm (CoDe) for small-scale UAV swarms consisting of up to three UAVs. CoDe improves energy efficiency of UAVs by achieving effective cooperation among UAVs. Moreover, CoDe is specifically tailored for UAV's operations by addressing the challenges faced by existing schemes, such as ineffectiveness in selecting actions from continuous action spaces and high computational complexity. CoDe is based on Multi-Agent Reinforcement Learning (MARL), and finds cooperative policies by incorporating a novel credit assignment scheme. The novel credit assignment scheme estimates the contribution of an individual by subtracting a baseline from the joint action value for the swarm. The credit assignment scheme in CoDe outperforms other benchmarks as the baseline takes into account not only the importance of a UAV's action but also the interrelation between UAVs. Furthermore, extensive experiments are conducted against existing MARL-based and conventional heuristic-based algorithms to demonstrate the advantages of the proposed algorithm.","url":"https://doi.org/10.48550/arxiv.2204.08594","authors":["Huang, Shuangyao","Zhang, Haibo","Huang, Zhiyi"],"tags":["Robotics (cs.RO)","Multiagent Systems (cs.MA)","FOS: Computer and information sciences","FOS: Computer and information sciences"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2022","doi":"10.48550/arxiv.2204.08594","addedAt":"2026-08-31T06:40:09.764Z","updatedAt":"2026-08-31T06:40:09.764Z"},{"id":"doi:10.5281/zenodo.14511470","name":"Dataset for Machine Teaching in Swarm Metaverse under Different Levels of Autonomy","source":"datacite","abstract":"This dataset contains human demonstration data collected in the Swarm Metaverse. This data is collected from two system experts under two levels of autonomy: high and low. The Swarm Metaverse enables a human to control a swarm of UGVs via a virtual UAV, by leveraging the shepherding model. The data is described and anaylsed in the following publication:Hussein A, Nguyen H, Abbass HA. 2024 Machine teaching in Swarm Metaverse under different levels of autonomy. Phil. Trans. R. Soc. A 383: 20240149. (doi:10.1098/rsta.2024.0149) The details of Swarm Metaverse can be found here: Nguyen H, Hussein A, Garratt MA, Abbass HA. 2023 Swarm Metaverse for Multi-Level Autonomy Using Digital Twins. Sensors 23. (doi:10.3390/s23104892)","url":"https://doi.org/10.5281/zenodo.14511470","authors":["Hussein, Aya","Nguyen, Hung","Abbass, Hussein"],"tags":["Swarm robotics","Machine Teaching","Human-machine interaction"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.5281/zenodo.14511470","addedAt":"2026-08-31T06:40:09.764Z","updatedAt":"2026-08-31T06:40:09.764Z"},{"id":"doi:10.5281/zenodo.14511469","name":"Dataset for Machine Teaching in Swarm Metaverse under Different Levels of Autonomy","source":"datacite","abstract":"This dataset contains human demonstration data collected in the Swarm Metaverse. This data is collected from two system experts under two levels of autonomy: high and low. The Swarm Metaverse enables a human to control a swarm of UGVs via a virtual UAV, by leveraging the shepherding model. The data is described and anaylsed in the following publication:Hussein A, Nguyen H, Abbass HA. 2024 Machine teaching in Swarm Metaverse under different levels of autonomy. Phil. Trans. R. Soc. A 383: 20240149. (doi:10.1098/rsta.2024.0149) The details of Swarm Metaverse can be found here: Nguyen H, Hussein A, Garratt MA, Abbass HA. 2023 Swarm Metaverse for Multi-Level Autonomy Using Digital Twins. Sensors 23. (doi:10.3390/s23104892)","url":"https://doi.org/10.5281/zenodo.14511469","authors":["Hussein, Aya","Nguyen, Hung","Abbass, Hussein"],"tags":["Swarm robotics","Machine Teaching","Human-machine interaction"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.5281/zenodo.14511469","addedAt":"2026-08-31T06:40:09.764Z","updatedAt":"2026-08-31T06:40:09.764Z"},{"id":"doi:10.48550/arxiv.2211.14931","name":"UAV-Assisted Space-Air-Ground Integrated Networks: A Technical Review of Recent Learning Algorithms","source":"datacite","abstract":"Recent technological advancements in space, air, and ground components have made possible a new network paradigm called space-air-ground integrated network (SAGIN). Unmanned aerial vehicles (UAVs) play a key role in SAGINs. However, due to UAVs' high dynamics and complexity, real-world deployment of a SAGIN becomes a significant barrier to realizing such SAGINs. UAVs are expected to meet key performance requirements with limited maneuverability and resources with space and terrestrial components. Therefore, employing UAVs in various usage scenarios requires well-designed planning in algorithmic approaches. This paper provides an essential review and analysis of recent learning algorithms in a UAV-assisted SAGIN. We consider possible reward functions and discuss the state-of-the-art algorithms for optimizing the reward functions, including Q-learning, deep Q-learning, multi-armed bandit, particle swarm optimization, and satisfaction-based learning algorithms. Unlike other survey papers, we focus on the methodological perspective of the optimization problem, applicable to various missions on a SAGIN. We consider real-world configurations and the 2-dimensional (2D) and 3-dimensional (3D) UAV trajectories to reflect deployment cases. Our simulations suggest the 3D satisfaction-based learning algorithm outperforms other approaches in most cases. With open challenges discussed at the end, we aim to provide design and deployment guidelines for UAV-assisted SAGINs.","url":"https://doi.org/10.48550/arxiv.2211.14931","authors":["Arani, Atefeh H.","Hu, Peng","Zhu, Yeying"],"tags":["Systems and Control (eess.SY)","Machine Learning (cs.LG)","Networking and Internet Architecture (cs.NI)","FOS: Electrical engineering, electronic engineering, information engineering","FOS: Electrical engineering, electronic engineering, information engineering","FOS: Computer and information sciences","FOS: Computer and information sciences"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2022","doi":"10.48550/arxiv.2211.14931","addedAt":"2026-08-31T06:40:09.764Z","updatedAt":"2026-08-31T06:40:09.764Z"},{"id":"doi:10.48550/arxiv.2407.09342","name":"MIXED-SENSE: A Mixed Reality Sensor Emulation Framework for Test and Evaluation of UAVs Against False Data Injection Attacks","source":"datacite","abstract":"We present a high-fidelity Mixed Reality sensor emulation framework for testing and evaluating the resilience of Unmanned Aerial Vehicles (UAVs) against false data injection (FDI) attacks. The proposed approach can be utilized to assess the impact of FDI attacks, benchmark attack detector performance, and validate the effectiveness of mitigation/reconfiguration strategies in single-UAV and UAV swarm operations. Our Mixed Reality framework leverages high-fidelity simulations of Gazebo and a Motion Capture system to emulate proprioceptive (e.g., GNSS) and exteroceptive (e.g., camera) sensor measurements in real-time. We propose an empirical approach to faithfully recreate signal characteristics such as latency and noise in these measurements. Finally, we illustrate the efficacy of our proposed framework through a Mixed Reality experiment consisting of an emulated GNSS attack on an actual UAV, which (i) demonstrates the impact of false data injection attacks on GNSS measurements and (ii) validates a mitigation strategy utilizing a distributed camera network developed in our previous work. Our open-source implementation is available at \\href{https://github.com/CogniPilot/mixed\\_sense}{\\texttt{https://github.com/CogniPilot/mixed\\_sense}}","url":"https://doi.org/10.48550/arxiv.2407.09342","authors":["Pant, Kartik A.","Lin, Li-Yu","Kim, Jaehyeok","Sribunma, Worawis","Goppert, James M.","Hwang, Inseok"],"tags":["Robotics (cs.RO)","FOS: Computer and information sciences","FOS: Computer and information sciences"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.48550/arxiv.2407.09342","addedAt":"2026-08-31T06:40:09.764Z","updatedAt":"2026-08-31T06:40:09.764Z"},{"id":"doi:10.48550/arxiv.2404.18729","name":"Fast Swarming of UAVs in GNSS-denied Feature-poor Environments without Explicit Communication","source":"datacite","abstract":"A decentralized swarm approach for the fast cooperative flight of Unmanned Aerial Vehicles (UAVs) in feature-poor environments without any external localization and communication is introduced in this paper. A novel model of a UAV neighborhood is proposed to achieve robust onboard mutual perception and flocking state feedback control, which is designed to decrease the inter-agent oscillations common in standard reactive swarm models employed in fast collective motion. The novel swarming methodology is supplemented with an enhanced Multi-Robot State Estimation (MRSE) strategy to increase the reliability of the purely onboard localization, which may be unreliable in real environments. Although MRSE and the neighborhood model may rely on information exchange between agents, we introduce a communication-less version of the swarming framework based on estimating communicated states to decrease dependence on the often unreliable communication networks of large swarms. The proposed solution has been verified by a set of complex real-world experiments to demonstrate its overall capability in different conditions, including a UAV interception-motivated task with a group velocity reaching the physical limits of the individual hardware platforms.","url":"https://doi.org/10.48550/arxiv.2404.18729","authors":["Horyna, Jiri","Kratky, Vit","Pritzl, Vaclav","Baca, Tomas","Ferrante, Eliseo","Saska, Martin"],"tags":["Robotics (cs.RO)","FOS: Computer and information sciences","FOS: Computer and information sciences"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.48550/arxiv.2404.18729","addedAt":"2026-08-31T06:40:09.764Z","updatedAt":"2026-08-31T06:40:09.764Z"},{"id":"doi:10.48550/arxiv.2404.07444","name":"Two-Way Aerial Secure Communications via Distributed Collaborative Beamforming under Eavesdropper Collusion","source":"datacite","abstract":"Unmanned aerial vehicles (UAVs)-enabled aerial communication provides a flexible, reliable, and cost-effective solution for a range of wireless applications. However, due to the high line-of-sight (LoS) probability, aerial communications between UAVs are vulnerable to eavesdropping attacks, particularly when multiple eavesdroppers collude. In this work, we aim to introduce distributed collaborative beamforming (DCB) into UAV swarms and handle the eavesdropper collusion by controlling the corresponding signal distributions. Specifically, we consider a two-way DCB-enabled aerial communication between two UAV swarms and construct these swarms as two UAV virtual antenna arrays. Then, we minimize the two-way known secrecy capacity and the maximum sidelobe level to avoid information leakage from the known and unknown eavesdroppers, respectively. Simultaneously, we also minimize the energy consumption of UAVs for constructing virtual antenna arrays. Due to the conflicting relationships between secure performance and energy efficiency, we consider these objectives as a multi-objective optimization problem. Following this, we propose an enhanced multi-objective swarm intelligence algorithm via the characterized properties of the problem. Simulation results show that our proposed algorithm can obtain a set of informative solutions and outperform other state-of-the-art baseline algorithms. Experimental tests demonstrate that our method can be deployed in limited computing power platforms of UAVs and is beneficial for saving computational resources.","url":"https://doi.org/10.48550/arxiv.2404.07444","authors":["Li, Jiahui","Sun, Geng","Wu, Qingqing","Liang, Shuang","Wang, Pengfei","Niyato, Dusit"],"tags":["Networking and Internet Architecture (cs.NI)","Signal Processing (eess.SP)","FOS: Computer and information sciences","FOS: Computer and information sciences","FOS: Electrical engineering, electronic engineering, information engineering","FOS: Electrical engineering, electronic engineering, information engineering"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.48550/arxiv.2404.07444","addedAt":"2026-08-31T06:40:09.764Z","updatedAt":"2026-08-31T06:40:09.764Z"},{"id":"doi:10.48550/arxiv.2404.00961","name":"Orchestrating UAVs for Prioritized Data Harvesting: A Cross-Layer Optimization Perspective","source":"datacite","abstract":"This work describes the orchestration of a fleet of rotary-wing Unmanned Aerial Vehicles (UAVs) for harvesting prioritized traffic from random distributions of heterogeneous users with Multiple Input Multiple Output (MIMO) capabilities. In a finite-horizon offline setting, the goal is to optimize the beam-forming design, the 3D UAV positioning and trajectory solution, and the user association/scheduling policy, to maximize the cumulative fleet-wide reward obtained by satisfying the quality-of-service mandates imposed on each user uplink request, subject to an average per-UAV mobility power constraint. With a probabilistic air-to-ground channel model, a multi-user MIMO uplink communication model with prioritized traffic, and a novel 3D mobility model for rotary-wing UAVs, the fleet-wide reward maximization problem is solved via a cross-layer optimization framework: first, K-means clustering is employed to obtain user clusters; then, equipped with a zero-forcing beam-forming design, the positions of the UAVs are optimized via two-stage grid search; next, treating these optimal positions as the graph vertices of a fully-connected mesh, the 3D UAV trajectories (i.e., graph edges) are designed via a learning based competitive swarm optimization algorithm, under an average UAV power consumption constraint, coupled with projected subgradient ascent for dual optimization; consequently, the user association/scheduling strategy is solved via a graphical branch-and-bound method on the underlying multiple traveling salesman problem. Numerical evaluations demonstrate that the proposed solution outperforms static UAV deployments, adaptive Voronoi decomposition techniques, and state-of-the-art iterative fleet control algorithms, with respect to user quality-of-service and per-UAV average power consumption.","url":"https://doi.org/10.48550/arxiv.2404.00961","authors":["Keshavamurthy, Bharath","Michelusi, Nicolo"],"tags":["Systems and Control (eess.SY)","FOS: Electrical engineering, electronic engineering, information engineering","FOS: Electrical engineering, electronic engineering, information engineering"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.48550/arxiv.2404.00961","addedAt":"2026-08-31T06:40:09.764Z","updatedAt":"2026-08-31T06:40:09.764Z"},{"id":"doi:10.48550/arxiv.2402.08246","name":"Ant Colony Optimization for Cooperative Inspection Path Planning Using Multiple Unmanned Aerial Vehicles","source":"datacite","abstract":"This paper presents a new swarm intelligence-based approach to deal with the cooperative path planning problem of unmanned aerial vehicles (UAVs), which is essential for the automatic inspection of infrastructure. The approach uses a 3D model of the structure to generate viewpoints for the UAVs. The calculation of the viewpoints considers the constraints related to the UAV formation model, camera parameters, and requirements for data post-processing. The viewpoints are then used as input to formulate the path planning as an extended traveling salesman problem and the definition of a new cost function. Ant colony optimization is finally used to solve the problem to yield optimal inspection paths. Experiments with 3D models of real structures have been conducted to evaluate the performance of the proposed approach. The results show that our system is not only capable of generating feasible inspection paths for UAVs but also reducing the path length by 29.47\\% for complex structures when compared with another heuristic approach. The source code of the algorithm can be found at https://github.com/duynamrcv/aco_3d_ipp.","url":"https://doi.org/10.48550/arxiv.2402.08246","authors":["Bui, Duy Nam","Duong, Thuy Ngan","Phung, Manh Duong"],"tags":["Systems and Control (eess.SY)","Artificial Intelligence (cs.AI)","FOS: Electrical engineering, electronic engineering, information engineering","FOS: Electrical engineering, electronic engineering, information engineering","FOS: Computer and information sciences","FOS: Computer and information sciences"],"confidence":0.66,"sites":["low-altitude"],"publishedDate":"2024","doi":"10.48550/arxiv.2402.08246","addedAt":"2026-08-31T06:40:09.764Z","updatedAt":"2026-08-31T06:40:09.764Z"},{"id":"doi:10.63363/aijfr.2025.v06i06.2574","name":"Swarm Intelligence-Based Routing for UAV Networks","source":"crossref","abstract":"This paper presents a Particle Swarm Optimization (PSO) based routing framework for unmanned aerial vehicle (UAV) networks. We formulate the routing problem as a multi-objective optimization that minimizes end-to-end delay, maximizes link reliability, and conserves UAV energy. A PSO algorithm is adapted to find near-optimal routes in dynamic UAV topologies. We implement a Python-based simulation to evaluate performance under varying node densities and mobility patterns. Results show that PSO-based routing outperforms baseline greedy and shortest-path methods in terms of packet delivery ratio (PDR) and average energy consumption for a range of scenarios.","url":"https://doi.org/10.63363/aijfr.2025.v06i06.2574","authors":["Neeraj Shrivastava","Dhara Rathore","Rajshree Panwar","Sandeep Singh"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-12-27T09:33:32Z","doi":"10.63363/aijfr.2025.v06i06.2574","addedAt":"2026-08-31T06:40:09.896Z","updatedAt":"2026-08-31T06:40:09.896Z"},{"id":"doi:10.3390/robotics15010026","name":"UAV Systems and Swarm Robotics","source":"crossref","abstract":"A possible classification for organization purposes: [...]","url":"https://doi.org/10.3390/robotics15010026","authors":["Gerardo Flores","Héctor M. Becerra","Juan Pablo Ramirez-Paredes","Alexandre Santos Brandão"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-01-20T08:36:33Z","doi":"10.3390/robotics15010026","addedAt":"2026-08-31T06:40:09.896Z","updatedAt":"2026-08-31T06:40:09.896Z"},{"id":"doi:10.1007/978-981-19-3998-3_25","name":"Dynamic Evasive Strategy of UAV Swarm Active Interception","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-981-19-3998-3_25","authors":["Jiaxin Li","Jindong Zhu","Yunfei Liu","Xiaowei Fu"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2022-07-29T03:16:37Z","doi":"10.1007/978-981-19-3998-3_25","addedAt":"2026-08-31T06:40:09.896Z","updatedAt":"2026-08-31T06:40:09.896Z"},{"id":"doi:10.1016/j.swevo.2025.102267","name":"Evolutionary algorithm with domain-specific operators for UAV path planning","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.swevo.2025.102267","authors":["Daison Darlan","Oladayo S. Ajani","Rammohan Mallipeddi"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-01-08T18:02:49Z","doi":"10.1016/j.swevo.2025.102267","addedAt":"2026-08-31T06:40:09.896Z","updatedAt":"2026-08-31T06:40:09.896Z"},{"id":"doi:10.5194/egusphere-egu2020-1621","name":"Structural analysis of the Theistareykir Fissure Swarm (NE Iceland) using field survey integrated with UAV-based - Structure from Motion techniques","source":"crossref","abstract":"&amp;lt;p&amp;gt;Due to its position at the boundary between American and European plates, Iceland represents an ideal natural laboratory to study active rifting processes, where rifting mechanisms are complicated by the superimposition of tectonic and magmatic stresses. In order to contribute to the study of such processes, we focused our attention on the southern sector of the Theistareykir Fissure Swarm (ThFS), an active volcanic rift belonging to the Northern Volcanic Zone of Iceland, affected by both volcanic and seismic hazard.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;We studied an area which is about 22 km&amp;lt;sup&amp;gt;2&amp;lt;/sup&amp;gt;-large, situated 12 km south of the intersection of the ThFS with the Husavik Flatey Fault (HFF), a dextral strike-slip lineament belonging to the Tjornes Fracture Zone (TFZ). The area is characterized by the presence of normal faults and a dense swarm of extension fractures, affecting prevalently post-glacial, Holocene lavas, dated 8-10 and 11-12 ka. Only in the western sector of the area a Late Quaternary interglacial lava crops out, while the northeastern sector is covered by a Weichselian subglacial hyaloclastite. The southern sector of the area has been investigated with classical field survey, whereas in the northern part a 3.87 km&amp;lt;sup&amp;gt;2&amp;lt;/sup&amp;gt;-large area has been reconstructed using the Structure from Motion (SfM) techniques, combined with an Unmanned Aerial Vehicle (UAV), obtaining orthomosaics, DSMs and 3D models with a centimetric resolution through 4189 UAV photos, collected in 7 different missions during summer 2018.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;In the whole area, we recognized and mapped a total of 624 structures (comprising 583 extension fractures and 41 normal faults), and we took various measurements at 626 structural stations along extension fractures, and 132 along normal faults. Regarding extension fractures, we collected the strike and, in 441 cases where it was possible, the opening direction and the amount of opening; along normal faults we measured the strike, dip and vertical offset.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;Our approach allowed to calculate stretch values across the rift comprised between 1.002 and 1.013, and an average opening direction value of 104.4&amp;amp;#176;N, normal to the average extension fracture strike measured at the structural stations (14&amp;amp;#176;N), suggesting a pure extensional opening in the studied area. Actually, in 281 cases out of our 441 stations along extension fractures we noticed a lateral component &amp;gt; 5&amp;amp;#176;. Furthermore, 49% of data is not consistent with tectonics, neither with regard to the extensional fracture strike, nor with regard to opening directions. This suggests that stresses linked to regional tectonics are not the only cause of deformation, which could have been affected by different processes like dyke intrusion, deglaciation, and inflation/deflation of the Theistareykir volcano magma chamber.&amp;lt;/p&amp;gt;","url":"https://doi.org/10.5194/egusphere-egu2020-1621","authors":["Noemi Corti","Alessandro Tibaldi"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2020-03-09T13:33:12Z","doi":"10.5194/egusphere-egu2020-1621","addedAt":"2026-08-31T06:40:09.896Z","updatedAt":"2026-08-31T06:40:09.896Z"},{"id":"doi:10.1109/iccc.2013.6731679","name":"Heterogeneous UAV swarm system for target search in adversarial environment","source":"crossref","abstract":"","url":"https://doi.org/10.1109/iccc.2013.6731679","authors":["Shripad Gade","Ashok Joshi"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2014-02-10T11:28:37Z","doi":"10.1109/iccc.2013.6731679","addedAt":"2026-08-31T06:40:09.896Z","updatedAt":"2026-08-31T06:40:09.896Z"},{"id":"doi:10.2139/ssrn.7029081","name":"Wind Field Perception and Parametric Modeling for Energy-Harvesting Soaring via Uncertainty-Guided UAV Swarm Sensing","source":"crossref","abstract":"The limited endurance of individual UAVs is a key constraint on long-duration swarm missions. Exploiting atmospheric wind fields for energy-harvesting soaring can improve mission persistence, but this requires timely acquisition of exploitable wind models. UAV swarms offer a natural advantage for regional wind perception through distributed sensing, especially in dynamic environments. However, efficient spatial sampling and unified modeling of multiple wind field types remain challenging. This paper proposes a wind modeling framework based on uncertainty-guided distributed sensing and parametric identification using a UAV swarm. The framework first constructs a global wind map from spatially distributed measurements and then extracts a parametric wind model from the map. To improve sensing efficiency, an uncertainty-guided adaptive sampling strategy is introduced to regulate the spatial distribution of the UAVs. To enable rapid model identification, a 3D convolutional neural network (3D-CNN) is developed to classify wind field types and estimate the corresponding model parameters. Simulation results demonstrate that the proposed method improves perception efficiency while preserving modeling accuracy. The framework enables real-time parametric modeling of multiple energy-harvesting wind fields and provides an effective basis for soaring trajectory planning in UAV swarm applications.","url":"https://doi.org/10.2139/ssrn.7029081","authors":["Yifei Zhao","Tielin Ma","Xiaoqiang Lu","Jingcheng Fu"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-06-30T19:10:41Z","doi":"10.2139/ssrn.7029081","addedAt":"2026-08-31T06:40:09.896Z","updatedAt":"2026-08-31T06:40:09.896Z"},{"id":"doi:10.23919/chicc.2019.8865866","name":"Obstacle Avoidance Strategy for Quadrotor UAV based on Improved Particle Swarm optimization Algorithm","source":"crossref","abstract":"","url":"https://doi.org/10.23919/chicc.2019.8865866","authors":["Ziyang Chen","Fei Luo","Chunjie Zhai"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2019-10-17T19:19:42Z","doi":"10.23919/chicc.2019.8865866","addedAt":"2026-08-31T06:40:09.896Z","updatedAt":"2026-08-31T06:40:09.896Z"},{"id":"doi:10.1007/978-981-95-1954-5_10","name":"Swarm Flight Control Experiment","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-981-95-1954-5_10","authors":["Yue Li","QingPeng Chen","Xunhua Dai","Quan Quan"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-04-15T22:28:23Z","doi":"10.1007/978-981-95-1954-5_10","addedAt":"2026-08-31T06:40:09.896Z","updatedAt":"2026-08-31T06:40:09.896Z"},{"id":"doi:10.2139/ssrn.6932000","name":"Neural-Guided Multi-Strategy Particle Swarm Optimization for UAV Path Planning","source":"crossref","abstract":"Three-dimensional UAV path planning in complex environments poses substantial challenges owing to high-dimensional search spaces, nonlinear operational constraints, and multimodal solution landscapes. Although particle swarm optimization (PSO) has demonstrated considerable promise for this task, conventional PSO variants exploit only a limited subset of the historical positional data generated during the search process, thereby constraining their overall optimization capability. To overcome this limitation, this paper proposes a neural-guided multi-strategy particle swarm optimization algorithm (NGMS-PSO), which systematically mines evolutionary process data to enhance algorithmic search performance. Specifically, a neural network is trained on collected evolutionary data to construct a neural-fusion evolutionary operator that provides knowledge-driven directional guidance throughout the search. An evolutionary state indicator is further introduced to stratify the swarm into elite, normal, and exploratory subpopulations, each governed by tailored evolutionary strategies that collectively maintain a dynamic balance between exploitation and exploration. To mitigate premature convergence, an adaptive escape mechanism is additionally incorporated, which applies targeted perturbations to particles exhibiting evolutionary stagnation. Extensive comparative experiments conducted across test scenarios of varying complexity against 11 competitive algorithms demonstrate that NGMS-PSO consistently generates safe, smooth, and cost-efficient UAV trajectories, achieving statistically significant performance improvements in the majority of cases.","url":"https://doi.org/10.2139/ssrn.6932000","authors":["Kun Bian","You Zhou","Juntao Zhang","Hong Han","Jun Zhou","Yifei Sun","Shi Cheng"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-06-14T16:40:59Z","doi":"10.2139/ssrn.6932000","addedAt":"2026-08-31T06:40:09.896Z","updatedAt":"2026-08-31T06:40:09.896Z"},{"id":"doi:10.2514/6.2008-6837","name":"Multiple UAV Task Allocation Using Particle Swarm Optimization","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2008-6837","authors":["P Sujit","Joel George","Randy Beard"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2012-12-20T01:13:16Z","doi":"10.2514/6.2008-6837","addedAt":"2026-08-31T06:40:09.896Z","updatedAt":"2026-08-31T06:40:09.896Z"},{"id":"doi:10.55549/epstem.1222","name":"Swarm Intelligence-Based Energy Optimization for UAV Mission Efficiency","source":"crossref","abstract":"This study investigates the effectiveness of swarm intelligence–based optimization methods for improving energy efficiency and minimizing mission duration in multi–unmanned aerial vehicle (UAV) swarms. The problem is formulated as a route-sequencing optimization task in which the visiting order of target points is optimized to reduce total energy consumption while ensuring complete mission feasibility. A classical nearest-neighbor assignment serves as the baseline and is compared against two evolutionary approaches: the single-objective Particle Swarm Optimization (PSO) and the multi-objective Non-dominated Sorting Genetic Algorithm II (NSGA-II). A Python-based simulation environment was developed to evaluate algorithmic performance under varying payload and wind conditions, including Zero, Constant, and Ornstein–Uhlenbeck (OU) stochastic wind models. Experimental results indicate that route sequencing optimization substantially decreases overall energy demand. NSGA-II, in particular, successfully constructs a well-defined Pareto front for the energy–time objectives, offering mission planners a flexible spectrum of trade-off solutions. In the OU + 150 g scenario, the Knee-point solution (E = 26.8 Wh, T = 93 s) achieved approximately 13% lower energy consumption at the cost of only a 7% increase in mission duration relative to the baseline. Across all methods, mission completion remained at 100%, and coverage ratios improved notably. These findings confirm that swarm intelligence–based optimization techniques provide robust and efficient tools for balancing energy consumption and operational time in UAV swarm mission planning.","url":"https://doi.org/10.55549/epstem.1222","authors":["Mustafa Cosar"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-02-03T06:37:42Z","doi":"10.55549/epstem.1222","addedAt":"2026-08-31T06:40:09.896Z","updatedAt":"2026-08-31T06:40:09.896Z"},{"id":"doi:10.3390/aerospace12121033","name":"Hierarchical Decision Making-Based Intelligent Game Confrontation on UAV Swarm","source":"crossref","abstract":"To address the challenge of decision making in close-range air combat for fixed-wing unmanned air vehicle (UAV) swarms, this paper proposes a distributed Hierarchical Cooperative Soft Actor-Critic with maximum entropy (HC-SAC) framework. A top-level target decision-making and bottom-level maneuvering framework is designed to resolve convergence issues in traditional multi-agent reinforcement learning, typically for long mission durations and complex state spaces. Friendly tactics are incorporated into top-level decisions to enhance coordination, with both offensive and defensive sub-policies balanced for swarm confrontations. These policies are trained using the Soft Actor-Critic (SAC) deep reinforcement learning algorithm with specific reward functions, and the effectiveness of this method is verified through 5v5 swarm game confrontation simulations.","url":"https://doi.org/10.3390/aerospace12121033","authors":["Guannan Chang","Siyuan Ren","Shuna Zhang","Xiaofeng Zhang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-11-21T11:04:31Z","doi":"10.3390/aerospace12121033","addedAt":"2026-08-31T06:40:09.896Z","updatedAt":"2026-08-31T06:40:09.896Z"},{"id":"doi:10.1109/icc54714.2021.9703153","name":"Effects of the Steering and Repulsive Potential Interaction on UAV Swarm Formation Equilibrium","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icc54714.2021.9703153","authors":["Aniket Sharma","Nandan K Sinha"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2022-02-15T06:37:07Z","doi":"10.1109/icc54714.2021.9703153","addedAt":"2026-08-31T06:40:09.896Z","updatedAt":"2026-08-31T06:40:09.896Z"},{"id":"doi:10.1109/chicc.2016.7554571","name":"Time-varying formation tracking for UAV swarm systems with switching interaction topologies","source":"crossref","abstract":"","url":"https://doi.org/10.1109/chicc.2016.7554571","authors":["Yan Zhou","Xiwang Dong","Yisheng Zhong"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2016-09-21T16:04:17Z","doi":"10.1109/chicc.2016.7554571","addedAt":"2026-08-31T06:40:09.896Z","updatedAt":"2026-08-31T06:40:09.896Z"},{"id":"doi:10.1109/incet57972.2023.10170669","name":"UAV Swarm Navigation in GNSS Denied Region with Formation Control","source":"crossref","abstract":"","url":"https://doi.org/10.1109/incet57972.2023.10170669","authors":["Priyanshi Jain","Rohaan Qureshi","Raghava Nallanthighal"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-07-10T18:13:57Z","doi":"10.1109/incet57972.2023.10170669","addedAt":"2026-08-31T06:40:09.896Z","updatedAt":"2026-08-31T06:40:09.896Z"},{"id":"doi:10.1109/globecom46510.2021.9685920","name":"Task Offloading in UAV Swarm-Based Edge Computing: Grouping and Role Division","source":"crossref","abstract":"","url":"https://doi.org/10.1109/globecom46510.2021.9685920","authors":["Weifeng Huang","Hongzhi Guo","Jiajia Liu"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2022-02-02T21:59:04Z","doi":"10.1109/globecom46510.2021.9685920","addedAt":"2026-08-31T06:40:09.896Z","updatedAt":"2026-08-31T06:40:09.896Z"},{"id":"doi:10.1109/gcwkshps45667.2019.9024534","name":"Timeliness Analysis of Service-Driven Collaborative Mobile Edge Computing in UAV Swarm","source":"crossref","abstract":"","url":"https://doi.org/10.1109/gcwkshps45667.2019.9024534","authors":["Jingran Chen","Qixun Zhang","Zhiyong Feng"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2020-03-06T17:06:31Z","doi":"10.1109/gcwkshps45667.2019.9024534","addedAt":"2026-08-31T06:40:09.896Z","updatedAt":"2026-08-31T06:40:09.896Z"},{"id":"doi:10.1109/iaeac50856.2021.9390770","name":"Particle Swarm Optimization based UAV for Disaster management","source":"crossref","abstract":"","url":"https://doi.org/10.1109/iaeac50856.2021.9390770","authors":["Kshitij Aggarwal","Aayush Goyal"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2021-06-21T20:33:39Z","doi":"10.1109/iaeac50856.2021.9390770","addedAt":"2026-08-31T06:40:09.896Z","updatedAt":"2026-08-31T06:40:09.896Z"},{"id":"doi:10.1109/gcwkshps58843.2023.10464497","name":"Hierarchical Extended Kalman Filter Cooperative Positioning Algorithm for UAV Swarm","source":"crossref","abstract":"","url":"https://doi.org/10.1109/gcwkshps58843.2023.10464497","authors":["Qinghua Luo","Shenghui Li","Xiaozhen Yan","Xinyue Zhou"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-03-21T17:52:58Z","doi":"10.1109/gcwkshps58843.2023.10464497","addedAt":"2026-08-31T06:40:09.896Z","updatedAt":"2026-08-31T06:40:09.896Z"},{"id":"doi:10.1109/icus66297.2025.11295029","name":"UAV Swarm Emergency Rescue Based on CAS-IRRT\n                    <sup>*</sup>","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icus66297.2025.11295029","authors":["Xiner Mao","Yu An","Liang Geng"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-12-23T18:28:29Z","doi":"10.1109/icus66297.2025.11295029","addedAt":"2026-08-31T06:40:09.896Z","updatedAt":"2026-08-31T06:40:09.896Z"},{"id":"doi:10.1109/indicon59947.2023.10440928","name":"Reinforcement learning-based UAV Swarm motion planning for field monitoring","source":"crossref","abstract":"","url":"https://doi.org/10.1109/indicon59947.2023.10440928","authors":["Adeeba Ali","Rashid Ali","M.F. Baig"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-02-27T18:56:24Z","doi":"10.1109/indicon59947.2023.10440928","addedAt":"2026-08-31T06:40:09.896Z","updatedAt":"2026-08-31T06:40:09.896Z"},{"id":"doi:10.1109/icus58632.2023.10318490","name":"Multi-Objective Mission planning for UAV Swarm Based on Deep Reinforcement Learning","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icus58632.2023.10318490","authors":["Sun Yu","Dai Dingcheng"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-11-21T19:19:56Z","doi":"10.1109/icus58632.2023.10318490","addedAt":"2026-08-31T06:40:09.896Z","updatedAt":"2026-08-31T06:40:09.896Z"},{"id":"doi:10.1117/12.2504209","name":"Research on the modeling method of UAV swarm operation in cyberspace","source":"crossref","abstract":"","url":"https://doi.org/10.1117/12.2504209","authors":["Guangya Si","Yanzheng Wang","Yang Zhang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2018-08-31T17:49:43Z","doi":"10.1117/12.2504209","addedAt":"2026-08-31T06:40:09.896Z","updatedAt":"2026-08-31T06:40:09.896Z"},{"id":"doi:10.3837/tiis.2025.05.016","name":"Reducing In-swarm Verification Cost: A Dynamic Mutual Authentication Scheme for UAV Swarms","source":"crossref","abstract":"","url":"https://doi.org/10.3837/tiis.2025.05.016","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-06-05T02:07:01Z","doi":"10.3837/tiis.2025.05.016","addedAt":"2026-08-31T06:40:09.896Z","updatedAt":"2026-08-31T06:40:09.896Z"},{"id":"doi:10.1109/cac51589.2020.9327095","name":"Swarm control of UAV based on optimal rigid graph and new community partition","source":"crossref","abstract":"","url":"https://doi.org/10.1109/cac51589.2020.9327095","authors":["Weitao Wu","Xurui Fan","Yanhong Luo"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2021-01-29T21:31:46Z","doi":"10.1109/cac51589.2020.9327095","addedAt":"2026-08-31T06:40:09.896Z","updatedAt":"2026-08-31T06:40:09.896Z"},{"id":"doi:10.1109/spin52536.2021.9566025","name":"Future Directions of UAV Swarm Communications","source":"crossref","abstract":"","url":"https://doi.org/10.1109/spin52536.2021.9566025","authors":["Suryakant Sahoo","Anil Kumar Shukla","Haneet Rana"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2021-10-20T19:34:22Z","doi":"10.1109/spin52536.2021.9566025","addedAt":"2026-08-31T06:40:09.896Z","updatedAt":"2026-08-31T06:40:09.896Z"},{"id":"doi:10.1109/iscait64916.2025.11010756","name":"Enhanced Dual Control Station Protocol of UAV Swarm System","source":"crossref","abstract":"","url":"https://doi.org/10.1109/iscait64916.2025.11010756","authors":["Xin Lv","Fanfan Zheng"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-06-03T17:42:21Z","doi":"10.1109/iscait64916.2025.11010756","addedAt":"2026-08-31T06:40:09.896Z","updatedAt":"2026-08-31T06:40:09.896Z"},{"id":"doi:10.3390/math13223591","name":"Multi-UAV Task Allocation Based on Grid-Based Particle Swarm and Genetic Hybrid Algorithm","source":"crossref","abstract":"To address the uneven distribution of the Pareto front and insufficient convergence in multi-UAV task allocation, this paper proposes GrEAPSO, an improved algorithm that hybridizes Particle Swarm Optimization (PSO) with Genetic Algorithm (GA). GrEAPSO balances exploitation and exploration through grid partitioning, adopts a dual-encoding scheme coupled with crossover and mutation to enhance population diversity, and employs a grid-based environmental selection mechanism to improve the uniformity of the Pareto set. After initialization, the algorithm iteratively performs a PSO-based local search, genetic crossover and mutation, and grid-based environmental selection. The offspring and parent populations are then merged, and the archive set is updated accordingly. Across three military UAV task-allocation scenarios (small, medium, and large), GrEAPSO is benchmarked against MOPSO, NSGA-II/III, MOEA/D-DE, RVEA, IBEA, MOMVO, and MaOGOA. All experiments use a population size of 100. Its reference point is undominated and dominates some competitors, with median gains of 55.78% in hypervolume and 8.11% in spacing. Finally, the sensitive analysis further indicates that dividing the objective space into 15–20 grids offers the best trade-off between search breadth and solution distribution.","url":"https://doi.org/10.3390/math13223591","authors":["Yuting Xiong","Liang Zhang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-11-10T11:47:27Z","doi":"10.3390/math13223591","addedAt":"2026-08-31T06:40:09.896Z","updatedAt":"2026-08-31T06:40:09.896Z"},{"id":"doi:10.1016/j.swevo.2025.101858","name":"Multi-UAV reconnaissance mission planning via deep reinforcement learning with simulated annealing","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.swevo.2025.101858","authors":["Mingfeng Fan","Huan Liu","Guohua Wu","Aldy Gunawan","Guillaume Sartoretti"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-01-28T08:10:47Z","doi":"10.1016/j.swevo.2025.101858","addedAt":"2026-08-31T06:40:09.896Z","updatedAt":"2026-08-31T06:40:09.896Z"},{"id":"doi:10.1016/j.swevo.2026.102293","name":"Low-cost safe path planning and exit scheduling of multi-UAV aerial refueling based on swarm intelligence","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.swevo.2026.102293","authors":["Bin Hang","Pengjun Guo"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-01-19T10:26:35Z","doi":"10.1016/j.swevo.2026.102293","addedAt":"2026-08-31T06:40:09.896Z","updatedAt":"2026-08-31T06:40:09.896Z"},{"id":"doi:10.1007/978-981-95-8435-2_25","name":"Collaborative Target-Tracking Algorithm Based on Trajectory Decision for UAV Swarm","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-981-95-8435-2_25","authors":["Ling Zuo","Wenqian Zhang","Qiang Tang","Xianglun Zhang","Hao Li","Yukun Yang","Jiayun Wen","Lin Hou"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-06-15T23:29:06Z","doi":"10.1007/978-981-95-8435-2_25","addedAt":"2026-08-31T06:40:09.896Z","updatedAt":"2026-08-31T06:40:09.896Z"},{"id":"doi:10.23919/irs70539.2026.11549108","name":"Adaptive Bandwidth Radar for UAV Swarm Detection Using Reinforcement Learning","source":"crossref","abstract":"","url":"https://doi.org/10.23919/irs70539.2026.11549108","authors":["Viktor Vozár","Apostolos Pappas","Alexander Yarovoy","Francesco Fioranelli"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-06-10T19:58:55Z","doi":"10.23919/irs70539.2026.11549108","addedAt":"2026-08-31T06:40:09.896Z","updatedAt":"2026-08-31T06:40:09.896Z"},{"id":"doi:10.1109/taes.2025.3626306/mm1","name":"Communication-Aware Task Allocation for the UAV Swarm Via Multi-Objective Asynchronous Policy Learning_supp2-3626306.docx","source":"crossref","abstract":"","url":"https://doi.org/10.1109/taes.2025.3626306/mm1","authors":["Jie Li"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-10-29T17:46:40Z","doi":"10.1109/taes.2025.3626306/mm1","addedAt":"2026-08-31T06:40:09.896Z","updatedAt":"2026-08-31T06:40:09.896Z"},{"id":"doi:10.1109/icoias53694.2021.00071","name":"Research on UAV Task Assignment Based on Hybrid Particle Swarm Algorithm","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icoias53694.2021.00071","authors":["Li Yeding","Dai Jiyang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2021-09-06T21:44:22Z","doi":"10.1109/icoias53694.2021.00071","addedAt":"2026-08-31T06:40:09.896Z","updatedAt":"2026-08-31T06:40:09.896Z"},{"id":"doi:10.1109/icrai68431.2025.11396731","name":"INTERACT: A Modular NLP Architecture using LangChain4j leveraged for UAV Swarm Behavior Interpretability","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icrai68431.2025.11396731","authors":["Alok Tibrewala"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-02-23T20:46:42Z","doi":"10.1109/icrai68431.2025.11396731","addedAt":"2026-08-31T06:40:09.896Z","updatedAt":"2026-08-31T06:40:09.896Z"},{"id":"doi:10.1109/iws58240.2023.10222418","name":"UAV Swarm Cooperative Penetration Electronic Countermeasures Technology Modeling and Application","source":"crossref","abstract":"","url":"https://doi.org/10.1109/iws58240.2023.10222418","authors":["Mingqiu Ren","Bingqie Wang","Zhouyan Shi"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-08-29T13:23:39Z","doi":"10.1109/iws58240.2023.10222418","addedAt":"2026-08-31T06:40:09.896Z","updatedAt":"2026-08-31T06:40:09.896Z"},{"id":"doi:10.2139/ssrn.7052088","name":"Hybrid Deep Reinforcement Learning and Particle Swarm Optimization for Adaptive Power Allocation in UAV Communication Swarms","source":"crossref","abstract":"The proliferation of unmanned aerial vehicle(UAV)swarmsasaerialbasestationsintroducesunprece dented flexibility for next-generation wireless networks, yet it simultaneously intensifies interference, energy constraints, and scalability challenges. This paper presents a hybrid Deep Q-Network–Particle Swarm Optimization (DQN–PSO) framework with curriculum learning for intelligent distributed power allocation in dense UAV communication swarms. The problem is formulated as a partially observable Markov decision process that captures stochastic air-to-ground (A2G) channel dynamics, multi-user quality-of-service (QoS) heterogeneity, battery constraints, and coupled interference ef fects. A two-timescale learning architecture is developed, DQN performs macro-level discrete policy learning for adaptive power control, while PSO refines micro-level continuous optimization for near optimal power vector selection. Curriculum learning progressively scales swarm size from 4 to 16 UAVs, significantly enhancing convergence stability and generalization. The system model incor porates 3GPP-compliant 3D path loss and realistic battery depletion modeling, and heterogeneous user traffic profiles. Extensive simulations demonstrate that the proposed hybrid framework achieves 95% normalized sum-rate performance and 96% energy efficiency while maintaining 94% fairness, outperforming standalone PSO, GA, and random baselines. Convergence analysis confirms stable learning behavior with exponential interference reduction and balanced multi-objective optimization across throughput, coverage, fairness, and QoS satisfaction. The results validate that synergistic integration of reinforcement learning (RL) and swarm intelligence provides a scalable, energy aware, and interference resilient solution suitable for practical UAV-assisted wireless networks.","url":"https://doi.org/10.2139/ssrn.7052088","authors":["Shujaat Ali","Asma Samah","Manzareen Mustafa","Nor  Fadzilah Abdullah"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-07-04T02:51:57Z","doi":"10.2139/ssrn.7052088","addedAt":"2026-08-31T06:40:09.896Z","updatedAt":"2026-08-31T06:40:09.896Z"},{"id":"doi:10.1109/tap.2024.3521232/mm1","name":"Experimental Demonstration of Flying UAV Swarm-Based Reconfigurable Yagi-Uda Antennas_supp1-3521232.mp4","source":"crossref","abstract":"","url":"https://doi.org/10.1109/tap.2024.3521232/mm1","authors":["Junming Diao"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-12-31T14:54:42Z","doi":"10.1109/tap.2024.3521232/mm1","addedAt":"2026-08-31T06:40:09.896Z","updatedAt":"2026-08-31T06:40:09.896Z"},{"id":"doi:10.3390/drones9030218","name":"Swarm Maneuver Decision Method Based on Learning-Aided Evolutionary Pigeon-Inspired Optimization for UAV Swarm Air Combat","source":"crossref","abstract":"Unmanned aerial vehicle (UAV) swarm dynamic combat poses significant challenges due to its complexity and dynamism. This study introduces a novel approach that addresses these challenges through the development of a swarm maneuver decision method based on the Learning-Aided Evolutionary Pigeon-Inspired Optimization (LAEPIO) algorithm. This research proceeds systematically as follows: First, a nonlinear model of fixed-wing UAVs and a decision-making system for swarm air combat are established. Next, a situation function is applied to characterize the battlefield environment and quantify the strategic advantages of each side during the engagement. The LAEPIO algorithm is then advanced to tackle sub-tasks in swarm air combat by incorporating a learning-aided evolutionary mechanism. Building upon this foundation, a swarm maneuver decision method is designed, enabling UAV swarms to select optimal strategies from a library of maneuvers after thoroughly assessing the battlefield scenario. Finally, the efficacy and superiority of the proposed method are demonstrated through comprehensive simulations across diverse air combat scenarios. The results show that the average win rate of the proposed algorithm is 36.7% higher than that of similar algorithms.","url":"https://doi.org/10.3390/drones9030218","authors":["Yongbin Sun","Yu Chen","Chen Wei","Bin Li","Yanming Fan"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-03-18T10:43:51Z","doi":"10.3390/drones9030218","addedAt":"2026-08-31T06:40:09.896Z","updatedAt":"2026-08-31T06:40:09.896Z"},{"id":"doi:10.1007/978-981-19-3998-3_156","name":"Cooperative Optimization Method of UAV Swarm for Multi-objective High-Precision Location","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-981-19-3998-3_156","authors":["Bowen Li","Xiaoting Ji","Yuanling Huang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2022-07-29T02:29:19Z","doi":"10.1007/978-981-19-3998-3_156","addedAt":"2026-08-31T06:40:09.896Z","updatedAt":"2026-08-31T06:40:09.896Z"},{"id":"doi:10.1007/978-981-19-3998-3_26","name":"A Kind of Obstacle Avoidance Method for UAV Swarm","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-981-19-3998-3_26","authors":["Jindong Zhu","Yunfei Liu","Jiaxin Li","Xiaowei Fu"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2022-07-29T03:16:37Z","doi":"10.1007/978-981-19-3998-3_26","addedAt":"2026-08-31T06:40:09.896Z","updatedAt":"2026-08-31T06:40:09.896Z"},{"id":"doi:10.2139/ssrn.5092573","name":"Cpts: Cross Paradigm-Based Target Seeking for Uav Swarm in Unknown Environments","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.5092573","authors":["Xiaotian Xu","Billy  Pik Lik Lau","Chau Yuen","Sirajudeen Gulam Razul","U-Xuan Tan"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-01-10T20:38:31Z","doi":"10.2139/ssrn.5092573","addedAt":"2026-08-31T06:40:09.896Z","updatedAt":"2026-08-31T06:40:09.896Z"},{"id":"doi:10.1109/msnmc61130.2025.11399727","name":"Target Interception Using a Multilayer UAV Swarm Formation","source":"crossref","abstract":"","url":"https://doi.org/10.1109/msnmc61130.2025.11399727","authors":["D.V. Taranov"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-02-24T20:55:52Z","doi":"10.1109/msnmc61130.2025.11399727","addedAt":"2026-08-31T06:40:09.896Z","updatedAt":"2026-08-31T06:40:09.896Z"},{"id":"doi:10.1016/j.swevo.2025.101968","name":"A multi-objective benchmark for UAV path planning with baseline results","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.swevo.2025.101968","authors":["Daison Darlan","Oladayo S. Ajani","Anand Paul","Rammohan Mallipeddi"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-05-18T07:47:41Z","doi":"10.1016/j.swevo.2025.101968","addedAt":"2026-08-31T06:40:09.896Z","updatedAt":"2026-08-31T06:40:09.896Z"},{"id":"doi:10.1109/globecom46510.2021.9685538","name":"Dynamic Leader Selection in a Master-Slave Architecture-Based Micro UAV Swarm","source":"crossref","abstract":"","url":"https://doi.org/10.1109/globecom46510.2021.9685538","authors":["Sudip Misra","Pallav Kumar Deb","Kartik Saini"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2022-02-02T21:59:04Z","doi":"10.1109/globecom46510.2021.9685538","addedAt":"2026-08-31T06:40:09.896Z","updatedAt":"2026-08-31T06:40:09.896Z"},{"id":"doi:10.1109/rif68108.2025.11406840","name":"Advanced LPV-MPC for UAV Control Using Particle Swarm Optimization","source":"crossref","abstract":"","url":"https://doi.org/10.1109/rif68108.2025.11406840","authors":["Abib Mohammed Hamza","Mesmoudi Asma"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-02-26T20:43:00Z","doi":"10.1109/rif68108.2025.11406840","addedAt":"2026-08-31T06:40:09.896Z","updatedAt":"2026-08-31T06:40:09.896Z"},{"id":"doi:10.36227/techrxiv.19365389","name":"Q-Learning Aided Intelligent Routing with Maximum Utility in Cognitive UAV Swarm for Emergency Communications","source":"crossref","abstract":"In this paper, we attempt to deal with the routing problem in a cognitive unmanned aerial vehicle (UAV) swarm (CU-SWARM), which applies the cognitive radio into a swarm of UAVs within a three-hierarchical aerial-ground integrated network architecture for emergency communications. In particular, the flexibly converged architecture utilizes a UAV swarm and a high-altitude platform to support aerial sensing and access, respectively, over the disaster-affected areas. We develop a Q-learning framework to achieve the intelligent routing with maximum utility for CU-SWARM. To characterize the reward function, we take into account both the routing metric design and the candidate UAV selection optimization. The routing metric is determined by maximizing the utility, which jointly captures the achievable rate of UAV pair and the residual energy of UAV. Besides, under the location, arc, and direction constraints, the circular sector is modeled by properly choosing the central angle and the acceptable signal-to-noise ratio for the UAV. With this setup, we further propose a low-complexity iterative algorithm using the dynamic learning rate to update Q-values during the training process for achieving a fast convergence speed. Extensive simulation results are provided to assess the potential of the Q-learning framework of intelligent routing as well as to verify our overall iterative algorithm via the dynamic learning rate for training procedure. Our findings reveal that the proposed algorithm can significantly increase the accumulated rewards significantly with practical complexity compared to other benchmark schemes with fixed and decaying learning rates.","url":"https://doi.org/10.36227/techrxiv.19365389","authors":["Long Zhang","Xiaozheng Ma","Zirui Zhuang","Haitao Xu","Vishal Sharma","Zhu Han"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2022-03-17T10:41:55Z","doi":"10.36227/techrxiv.19365389","addedAt":"2026-08-31T06:40:09.896Z","updatedAt":"2026-08-31T06:40:09.896Z"},{"id":"doi:10.1109/icsess54813.2022.9930182","name":"A Survey of Research on the Distributed Cooperation Method of the UAV Swarm based on Swarm Intelligence","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icsess54813.2022.9930182","authors":["Li Ma","Bin Lin","Wen Zhang","Jingjing Tao","Xiaomin Zhu","Hao Chen"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2022-11-04T01:28:38Z","doi":"10.1109/icsess54813.2022.9930182","addedAt":"2026-08-31T06:40:09.896Z","updatedAt":"2026-08-31T06:40:09.896Z"},{"id":"doi:10.1109/iccmt69755.2026.11608260","name":"Research on UAV Swarm Intelligent Combat Architecture Based on Blockchain Technology","source":"crossref","abstract":"","url":"https://doi.org/10.1109/iccmt69755.2026.11608260","authors":["Tianpeng Zhang","Guizhou Liu"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-07-21T19:06:01Z","doi":"10.1109/iccmt69755.2026.11608260","addedAt":"2026-08-31T06:40:09.896Z","updatedAt":"2026-08-31T06:40:09.896Z"},{"id":"doi:10.1109/globecom59602.2025.11432370","name":"Near-Field Sparse MIMO Bistatic OFDM-ISAC for Low-Altitude UAV Swarm","source":"crossref","abstract":"","url":"https://doi.org/10.1109/globecom59602.2025.11432370","authors":["Hongqi Min","Xinrui Li","Yong Zeng"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-03-19T20:04:01Z","doi":"10.1109/globecom59602.2025.11432370","addedAt":"2026-08-31T06:40:09.896Z","updatedAt":"2026-08-31T06:40:09.896Z"},{"id":"doi:10.1109/wsc.2007.4419738","name":"SELF organized UAV swarm planning optimization for search and destroy using swarmfare simulation","source":"crossref","abstract":"","url":"https://doi.org/10.1109/wsc.2007.4419738","authors":["Dustin J. Nowak","Ian Price","Gary B. Lamont"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2008-01-04T16:05:18Z","doi":"10.1109/wsc.2007.4419738","addedAt":"2026-08-31T06:40:09.896Z","updatedAt":"2026-08-31T06:40:09.896Z"},{"id":"doi:10.23919/irs70539.2026.11549087","name":"Effectiveness Comparison of Detection Methods for Selected Radio Emissions via UAV Swarm","source":"crossref","abstract":"","url":"https://doi.org/10.23919/irs70539.2026.11549087","authors":["Maciej Mazuro","Paweł Skokowski","Jan M. Kelner"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-06-10T19:58:55Z","doi":"10.23919/irs70539.2026.11549087","addedAt":"2026-08-31T06:40:09.896Z","updatedAt":"2026-08-31T06:40:09.896Z"},{"id":"doi:10.36227/techrxiv.19365389.v2","name":"Q-Learning Aided Intelligent Routing with Maximum Utility in Cognitive UAV Swarm for Emergency Communications","source":"crossref","abstract":"In this paper, we attempt to deal with the routing problem in a cognitive unmanned aerial vehicle (UAV) swarm (CU-SWARM), which applies the cognitive radio into a swarm of UAVs within a three-hierarchical aerial-ground integrated network architecture for emergency communications. In particular, the flexibly converged architecture utilizes a UAV swarm and a high-altitude platform to support aerial sensing and access, respectively, over the disaster-affected areas. We develop a Q-learning framework to achieve the intelligent routing with maximum utility for CU-SWARM. To characterize the reward function, we take into account both the routing metric design and the candidate UAV selection optimization. The routing metric is determined by maximizing the utility, which jointly captures the achievable rate of UAV pair and the residual energy of UAV. Besides, under the location, arc, and direction constraints, the circular sector is modeled by properly choosing the central angle and the acceptable signal-to-noise ratio for the UAV. With this setup, we further propose a low-complexity iterative algorithm using the dynamic learning rate to update Q-values during the training process for achieving a fast convergence speed. Extensive simulation results are provided to assess the potential of the Q-learning framework of intelligent routing as well as to verify our overall iterative algorithm via the dynamic learning rate for training procedure. Our findings reveal that the proposed algorithm can significantly increase the accumulated rewards significantly with practical complexity compared to other benchmark schemes with fixed and decaying learning rates.","url":"https://doi.org/10.36227/techrxiv.19365389.v2","authors":["Long Zhang","Xiaozheng Ma","Zirui Zhuang","Haitao Xu","Vishal Sharma","Zhu Han"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2022-04-06T23:39:32Z","doi":"10.36227/techrxiv.19365389.v2","addedAt":"2026-08-31T06:40:09.896Z","updatedAt":"2026-08-31T06:40:09.896Z"},{"id":"doi:10.1109/isda70544.2026.11606084","name":"A Simulation Framework for Secure UAV Swarm Communications","source":"crossref","abstract":"","url":"https://doi.org/10.1109/isda70544.2026.11606084","authors":["Shahed Al Tamimi","Qasem Abu Al-Haija"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-07-21T19:10:50Z","doi":"10.1109/isda70544.2026.11606084","addedAt":"2026-08-31T06:40:09.896Z","updatedAt":"2026-08-31T06:40:09.896Z"},{"id":"doi:10.23919/ecc65951.2025.11187064","name":"Multiple Target Tracking Using a UAV Swarm in Maritime Environments","source":"crossref","abstract":"","url":"https://doi.org/10.23919/ecc65951.2025.11187064","authors":["Andreas Anastasiou","Savvas Papaioannou","Panayiotis Kolios","Christos G. Panayiotou"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-10-14T17:38:09Z","doi":"10.23919/ecc65951.2025.11187064","addedAt":"2026-08-31T06:40:09.896Z","updatedAt":"2026-08-31T06:40:09.896Z"},{"id":"doi:10.1109/icus50048.2020.9275006","name":"Transmit Beamforming Algorithm of Multi-UAV Based on Particle Swarm optimization","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icus50048.2020.9275006","authors":["Zhe Xu","Jianjiang Zhou","Xiangming Zheng"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2020-12-08T04:22:52Z","doi":"10.1109/icus50048.2020.9275006","addedAt":"2026-08-31T06:40:09.896Z","updatedAt":"2026-08-31T06:40:09.896Z"},{"id":"doi:10.1109/aps.2009.5172135","name":"Positional tolerance analysis and error correction of micro-UAV swarm based antenna arrays","source":"crossref","abstract":"","url":"https://doi.org/10.1109/aps.2009.5172135","authors":["J.S. Petko","D.H. Werner"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2009-07-28T15:35:29Z","doi":"10.1109/aps.2009.5172135","addedAt":"2026-08-31T06:40:09.896Z","updatedAt":"2026-08-31T06:40:09.896Z"},{"id":"doi:10.1109/syscon53536.2022.9773922","name":"A new SysML Model for UAV Swarm Modeling: UavSwarmML","source":"crossref","abstract":"","url":"https://doi.org/10.1109/syscon53536.2022.9773922","authors":["Khalil Aloui","Moncef Hammadi","Amir Guizani","Mohamed Haddar","Thierry Soriano"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2022-05-16T16:45:11Z","doi":"10.1109/syscon53536.2022.9773922","addedAt":"2026-08-31T06:40:09.896Z","updatedAt":"2026-08-31T06:40:09.896Z"},{"id":"doi:10.23919/ccc50068.2020.9189441","name":"Joint Task Planning of UAV Groups using Improved Multi-objective Lion Swarm Optimization","source":"crossref","abstract":"","url":"https://doi.org/10.23919/ccc50068.2020.9189441","authors":["Shengwei Dong","Mingyan Jiang","Dongfeng Yuan"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2020-09-09T16:45:38Z","doi":"10.23919/ccc50068.2020.9189441","addedAt":"2026-08-31T06:40:09.896Z","updatedAt":"2026-08-31T06:40:09.896Z"},{"id":"doi:10.1109/ecice59523.2023.10383085","name":"Swarm UAV Communication System to Realize Formation Flight","source":"crossref","abstract":"","url":"https://doi.org/10.1109/ecice59523.2023.10383085","authors":["Jie-Tong Zou","Kuan-Ming Chen"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-01-12T18:53:21Z","doi":"10.1109/ecice59523.2023.10383085","addedAt":"2026-08-31T06:40:09.896Z","updatedAt":"2026-08-31T06:40:09.896Z"},{"id":"doi:10.1109/cac48633.2019.8997273","name":"Coupling-Degree-Based Heuristic Prioritized Planning Method for UAV Swarm Path Generation","source":"crossref","abstract":"","url":"https://doi.org/10.1109/cac48633.2019.8997273","authors":["Hui Li","Teng Long","Guangtong Xu","Yangjie Wang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2020-02-14T08:25:50Z","doi":"10.1109/cac48633.2019.8997273","addedAt":"2026-08-31T06:40:09.896Z","updatedAt":"2026-08-31T06:40:09.896Z"},{"id":"doi:10.36227/techrxiv.19365389.v3","name":"Q-Learning Aided Intelligent Routing with Maximum Utility in Cognitive UAV Swarm for Emergency Communications","source":"crossref","abstract":"In this paper, we attempt to deal with the routing problem in a cognitive unmanned aerial vehicle (UAV) swarm (CU-SWARM), which applies the cognitive radio into a swarm of UAVs within a three-hierarchical aerial-ground integrated network architecture for emergency communications. In particular, the flexibly converged architecture utilizes a UAV swarm and a high-altitude platform to support aerial sensing and access, respectively, over the disaster-affected areas. We develop a Q-learning framework to achieve the intelligent routing with maximum utility for CU-SWARM. To characterize the reward function, we take into account both the routing metric design and the candidate UAV selection optimization. The routing metric is determined by maximizing the utility, which jointly captures the achievable rate of UAV pair and the residual energy of UAV. Besides, under the location, arc, and direction constraints, the circular sector is modeled by properly choosing the central angle and the acceptable signal-to-noise ratio for the UAV. With this setup, we further propose a low-complexity iterative algorithm using the dynamic learning rate to update Q-values during the training process for achieving a fast convergence speed. Extensive simulation results are provided to assess the potential of the Q-learning framework of intelligent routing as well as to verify our overall iterative algorithm via the dynamic learning rate for training procedure. Our findings reveal that the proposed algorithm can significantly increase the accumulated rewards significantly with practical complexity compared to other benchmark schemes with fixed and decaying learning rates.","url":"https://doi.org/10.36227/techrxiv.19365389.v3","authors":["Long Zhang","Xiaozheng Ma","Zirui Zhuang","Haitao Xu","Vishal Sharma","Zhu Han"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2022-09-27T11:41:42Z","doi":"10.36227/techrxiv.19365389.v3","addedAt":"2026-08-31T06:40:09.896Z","updatedAt":"2026-08-31T06:40:09.896Z"},{"id":"doi:10.1109/iccc52777.2021.9580225","name":"Edge Intelligence Enabled Soft Decentralized Authentication in UAV Swarm","source":"crossref","abstract":"","url":"https://doi.org/10.1109/iccc52777.2021.9580225","authors":["Huanchi Wang","He Fang","Xianbin Wang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2021-11-08T23:22:03Z","doi":"10.1109/iccc52777.2021.9580225","addedAt":"2026-08-31T06:40:09.896Z","updatedAt":"2026-08-31T06:40:09.896Z"},{"id":"doi:10.36227/techrxiv.22718374.v1","name":"Enabling Wireless-powered IoT through Incentive-based UAV Swarm Orchestration","source":"crossref","abstract":"The rapidly growing demand for vast numbers of Internet of Things (IoT), in both urban and rural areas, necessitates their ceaseless and automatic energy supply. This is particularly vital in cases where the IoT sensors are deployed in inaccessible locations outside of human reach. In this direction, unmanned aerial vehicles (UAVs) with wireless power transfer (WPT) capabilities can solve this issue, due to their flexible deployment. To this end, we devise an architecture in which a UAV swarm covers the energy demand of an IoT network, while at the same time, the UAVs fulfil their energy needs through a charging station (CS) infrastructure. A practical energy model is considered, which takes into account the battery levels of the UAVs, energy consumption due to transition to different locations, hovering, and WPT. Also, to capture the UAV-CS interaction, an economic model is introduced. The UAVs aim to maximize their profit by transferring energy to the IoT, while the CSs aim to maximize their profit by recharging the UAVs. To ensure a profit-wise stable CS-UAV association, while providing energy coverage to the IoT, we formulate a many-to-one matching game. Due to inter-dependencies between UAVs’ utilities, i.e., externalities , a matching algorithm based on peer effects and two- sided exchange-stability is proposed. To further evaluate the con- sidered system, we design an optimization scheme which performs the UAV-CS assignment with the aim to maximize the energy coverage of the IDs. Numerical results showcase the matching algorithm’s ability to provide near-optimal energy coverage to the IDs, while balancing fairness among the competing agents’ profit, compared to the optimization scheme.","url":"https://doi.org/10.36227/techrxiv.22718374.v1","authors":["Prodromos-Vasileios Mekikis","Pavlos Bouzinis","Nikos Mitsiou","Sotiris A. Tegos","Dimitrios Tyrovolas","Vasilis Papanikolaou","George K. Karagiannidis"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-05-02T11:05:00Z","doi":"10.36227/techrxiv.22718374.v1","addedAt":"2026-08-31T06:40:09.896Z","updatedAt":"2026-08-31T06:40:09.896Z"},{"id":"doi:10.1109/cac53003.2021.9728055","name":"Research on Improved Particle Swarm Optimized Fuzzy PID Control for Quadrotor UAV","source":"crossref","abstract":"","url":"https://doi.org/10.1109/cac53003.2021.9728055","authors":["Guohong Li","Pengfei Wei","Weiyue Yang","Ran Gao"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2022-03-14T22:38:14Z","doi":"10.1109/cac53003.2021.9728055","addedAt":"2026-08-31T06:40:09.896Z","updatedAt":"2026-08-31T06:40:09.896Z"},{"id":"doi:10.33022/ijcs.v15i2.5085","name":"A Survey of UAVs Detection: From Single UAV to Swarm","source":"crossref","abstract":"During the First World War, the world experienced the innovation of what is called drone, as a tool of espionage. Today we talk about drone swarm, where multiple drones work together to achieve a common goal or task. The use of this type of aircraft has undergone a great evolution and has become a source of problems for countries’ security, which incites researchers to look for solutions against drones. There are several detection methods such as acoustic, radar, visual, and thermal detection. Also, there is radio frequency (RF) detection based on the RF communication links of the drone system. All these methods of drone detection facilitate the mission of the fight against drones. This review presents a comprehensive study of single/multi-UAV (swarm) architectures and offers a critical analysis of detection methods, transitioning from a single to multi-drone context. The paper also highlights several potential research directions providing essential datasets related to the detection techniques. In addition to the theoretical literature review, this work paves the way toward the development of practical counter-UAV systems.","url":"https://doi.org/10.33022/ijcs.v15i2.5085","authors":["Montassar Abdenneji","Tijeni Delleji","Feten Slimeni"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-04-02T15:21:44Z","doi":"10.33022/ijcs.v15i2.5085","addedAt":"2026-08-31T06:40:09.896Z","updatedAt":"2026-08-31T06:40:09.896Z"},{"id":"doi:10.23919/acc55779.2023.10156346","name":"An Agent-related Asynchronous Consensus Method for Fast Scheduling of UAV Swarm","source":"crossref","abstract":"","url":"https://doi.org/10.23919/acc55779.2023.10156346","authors":["Runfeng Chen","Jie Li","Yiting Chen","Yuchong Huang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-07-03T17:48:03Z","doi":"10.23919/acc55779.2023.10156346","addedAt":"2026-08-31T06:40:09.896Z","updatedAt":"2026-08-31T06:40:09.896Z"},{"id":"doi:10.1109/icnc57223.2023.10074263","name":"Distributed UAV Swarm Placement Optimization for Compressive Sensing based Target Localization","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icnc57223.2023.10074263","authors":["Yen-Chin Wang","Danijela Cabric"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-03-23T17:39:46Z","doi":"10.1109/icnc57223.2023.10074263","addedAt":"2026-08-31T06:40:09.896Z","updatedAt":"2026-08-31T06:40:09.896Z"},{"id":"doi:10.12720/jcm.21.1.115-126","name":"Resilient UAV Swarm-to-Ground Communication via Relay-Driven DSR Protocol","source":"crossref","abstract":"","url":"https://doi.org/10.12720/jcm.21.1.115-126","authors":["Umut Aydemir","Sami Pekdemir","Fethi Candan"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-02-26T09:04:57Z","doi":"10.12720/jcm.21.1.115-126","addedAt":"2026-08-31T06:40:09.896Z","updatedAt":"2026-08-31T06:40:09.896Z"},{"id":"doi:10.1109/msnmc61130.2025.11399710","name":"Method of Intelligent Route Planing of UAV Swarm","source":"crossref","abstract":"","url":"https://doi.org/10.1109/msnmc61130.2025.11399710","authors":["Artem Nikulin"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-02-24T20:55:52Z","doi":"10.1109/msnmc61130.2025.11399710","addedAt":"2026-08-31T06:40:09.896Z","updatedAt":"2026-08-31T06:40:09.896Z"},{"id":"doi:10.36227/techrxiv.22718374","name":"Enabling Wireless-powered IoT through Incentive-based UAV Swarm Orchestration","source":"crossref","abstract":"&lt;p&gt;The rapidly growing demand for vast numbers of Internet of Things (IoT), in both urban and rural areas, necessitates their ceaseless and automatic energy supply. This is particularly vital in cases where the IoT sensors are deployed in inaccessible locations outside of human reach. In this direction, unmanned aerial vehicles (UAVs) with wireless power transfer (WPT) capabilities can solve this issue, due to their flexible deployment. To this end, we devise an architecture in which a UAV swarm covers the energy demand of an IoT network, while at the same time, the UAVs fulfil their energy needs through a charging station (CS) infrastructure. A practical energy model is considered, which takes into account the battery levels of the UAVs, energy consumption due to transition to different locations, hovering, and WPT. Also, to capture the UAV-CS interaction, an economic model is introduced. The UAVs aim to maximize their profit by transferring energy to the IoT, while the CSs aim to maximize their profit by recharging the UAVs. To ensure a profit-wise stable CS-UAV association, while providing energy coverage to the IoT, we formulate a many-to-one matching game. Due to inter-dependencies between UAVs’ utilities, i.e., &lt;em&gt;externalities&lt;/em&gt;, a matching algorithm based on peer effects and two- sided exchange-stability is proposed. To further evaluate the con- sidered system, we design an optimization scheme which performs the UAV-CS assignment with the aim to maximize the energy coverage of the IDs. Numerical results showcase the matching algorithm’s ability to provide near-optimal energy coverage to the IDs, while balancing fairness among the competing agents’ profit, compared to the optimization scheme.&lt;/p&gt;","url":"https://doi.org/10.36227/techrxiv.22718374","authors":["Prodromos-Vasileios Mekikis","Pavlos Bouzinis","Nikos Mitsiou","Sotiris A. Tegos","Dimitrios Tyrovolas","Vasilis Papanikolaou","George K. Karagiannidis"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-05-02T15:04:29Z","doi":"10.36227/techrxiv.22718374","addedAt":"2026-08-31T06:40:09.896Z","updatedAt":"2026-08-31T06:40:09.896Z"},{"id":"doi:10.36227/techrxiv.19365389.v1","name":"Q-Learning Aided Intelligent Routing with Maximum Utility in Cognitive UAV Swarm for Emergency Communications","source":"crossref","abstract":"In this paper, we attempt to deal with the routing problem in a cognitive unmanned aerial vehicle (UAV) swarm (CU-SWARM), which applies the cognitive radio into a swarm of UAVs within a three-hierarchical aerial-ground integrated network architecture for emergency communications. In particular, the flexibly converged architecture utilizes a UAV swarm and a high-altitude platform to support aerial sensing and access, respectively, over the disaster-affected areas. We develop a Q-learning framework to achieve the intelligent routing with maximum utility for CU-SWARM. To characterize the reward function, we take into account both the routing metric design and the candidate UAV selection optimization. The routing metric is determined by maximizing the utility, which jointly captures the achievable rate of UAV pair and the residual energy of UAV. Besides, under the location, arc, and direction constraints, the circular sector is modeled by properly choosing the central angle and the acceptable signal-to-noise ratio for the UAV. With this setup, we further propose a low-complexity iterative algorithm using the dynamic learning rate to update Q-values during the training process for achieving a fast convergence speed. Extensive simulation results are provided to assess the potential of the Q-learning framework of intelligent routing as well as to verify our overall iterative algorithm via the dynamic learning rate for training procedure. Our findings reveal that the proposed algorithm can significantly increase the accumulated rewards significantly with practical complexity compared to other benchmark schemes with fixed and decaying learning rates.","url":"https://doi.org/10.36227/techrxiv.19365389.v1","authors":["Long Zhang","Xiaozheng Ma","Zirui Zhuang","Haitao Xu","Vishal Sharma","Zhu Han"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2022-03-17T06:39:50Z","doi":"10.36227/techrxiv.19365389.v1","addedAt":"2026-08-31T06:40:09.896Z","updatedAt":"2026-08-31T06:40:09.896Z"},{"id":"doi:10.1109/icce50685.2021.9427618","name":"Particle Swarm Optimization Algorithm Presented in SysML and Applied in Multi-UAV System","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icce50685.2021.9427618","authors":["Maher Aljehani","Masahiro Inoue","Taketoshi Yokemura"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2021-05-13T19:57:02Z","doi":"10.1109/icce50685.2021.9427618","addedAt":"2026-08-31T06:40:09.896Z","updatedAt":"2026-08-31T06:40:09.896Z"},{"id":"doi:10.1109/icc45041.2023.10279067","name":"Reinforcement Learning Based UAV Swarm Communications Against Jamming","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icc45041.2023.10279067","authors":["Zefang Lv","Guohang Niu","Liang Xiao","Chengwen Xing","Wenyuan Xu"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-10-23T17:54:10Z","doi":"10.1109/icc45041.2023.10279067","addedAt":"2026-08-31T06:40:09.896Z","updatedAt":"2026-08-31T06:40:09.896Z"},{"id":"doi:10.23919/acc55779.2023.10156409","name":"Control Barrier Function Based Decentralized UAV Swarm Navigation While Preserving Connectivity Without Explicit Communication","source":"crossref","abstract":"","url":"https://doi.org/10.23919/acc55779.2023.10156409","authors":["Thiviyathinesvaran Palani","Hiroaki Fukushima","Shunsuke Izuhara"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-07-03T13:48:03Z","doi":"10.23919/acc55779.2023.10156409","addedAt":"2026-08-31T06:40:09.896Z","updatedAt":"2026-08-31T06:40:09.896Z"},{"id":"doi:10.2139/ssrn.5413632","name":"Sparse Gaussian Belief Propagation Method for UAV Swarm Based on Node Message Optimization","source":"crossref","abstract":"","url":"https://doi.org/10.2139/ssrn.5413632","authors":["Chenfa Shi","Qijie Li","Zhi Xiong","Mingxing Chen","Jun Xiong","Tianxu Wu","Zhengchun Wang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-08-28T15:50:12Z","doi":"10.2139/ssrn.5413632","addedAt":"2026-08-31T06:40:09.896Z","updatedAt":"2026-08-31T06:40:09.896Z"},{"id":"doi:10.1109/globecom38437.2019.9014165","name":"Power Allocation for UAV Swarm-Enabled Secure Networks Using Large-Scale CSI","source":"crossref","abstract":"","url":"https://doi.org/10.1109/globecom38437.2019.9014165","authors":["Xuanxuan Wang","Wei Feng","Yunfei Chen","Ning Ge"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2020-02-28T09:59:24Z","doi":"10.1109/globecom38437.2019.9014165","addedAt":"2026-08-31T06:40:09.896Z","updatedAt":"2026-08-31T06:40:09.896Z"},{"id":"doi:10.1109/ictc49638.2020.9123303","name":"CK-YAN: A Quadrotor UAV Swarm Testbed for Cooperative Algorithms","source":"crossref","abstract":"","url":"https://doi.org/10.1109/ictc49638.2020.9123303","authors":["Shunzhang Wang","Xiaoqin Song","Yang Jiang","Lijuan Zhang","Lei Lei"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2020-06-23T20:44:52Z","doi":"10.1109/ictc49638.2020.9123303","addedAt":"2026-08-31T06:40:09.896Z","updatedAt":"2026-08-31T06:40:09.896Z"},{"id":"doi:10.1109/access.2024.3519702","name":"Particle Swarm Optimization-Based Content Delivery Protocol for UAV VAENTs","source":"crossref","abstract":"","url":"https://doi.org/10.1109/access.2024.3519702","authors":["Yongje Shin","Hyun-Seok Choi","Youngju Nam","Euisin Lee"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-12-18T19:40:41Z","doi":"10.1109/access.2024.3519702","addedAt":"2026-08-31T06:40:09.896Z","updatedAt":"2026-08-31T06:40:09.896Z"},{"id":"doi:10.1016/j.cja.2020.02.027","name":"Mission-driven autonomous perception and fusion based on UAV swarm","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.cja.2020.02.027","authors":["You HE"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2020-06-17T02:53:20Z","doi":"10.1016/j.cja.2020.02.027","addedAt":"2026-08-31T06:40:09.896Z","updatedAt":"2026-08-31T06:40:09.896Z"},{"id":"doi:10.3390/app122010524","name":"Identity Management and Authentication of a UAV Swarm Based on a Blockchain","source":"crossref","abstract":"In recent years, with the continuous development of UAV technology, the application of the UAV swarm in the military has been a global focus of research. Although it can bring a series of benefits in autonomous cooperation, the traditional UAV management technology is prone to hacker attacks due to many security issues, such as a single point of failure brought by centralized management and the lack of reliable identity authentication. This paper studies the advantages and the recent advances of the blockchain in UAV swarm, proposes a blockchain-based UAV swarm identity management model (B-UIM-M), and establishes a distributed identity authentication scheme based on the distributed identity identifier (DID) under this model. Moreover, to ensure the safe transmission of UAV communication data, a secure communication architecture based on blockchain and a set of secure transmission protocols were designed, combined with cryptography. In the current military field, there is no similar application case of the UAV swarm identity management model and distributed identity authentication. The feasibility and security of the proposed scheme are proved through experiments and security analyses.","url":"https://doi.org/10.3390/app122010524","authors":["Pengbin Han","Aina Sui","Jiang Wu"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2022-10-18T21:18:02Z","doi":"10.3390/app122010524","addedAt":"2026-08-31T06:40:09.896Z","updatedAt":"2026-08-31T06:40:09.896Z"},{"id":"doi:10.1109/ipccc50635.2020.9391509","name":"UAV Swarm Communication Aware Formation Control via Deep Q Network","source":"crossref","abstract":"","url":"https://doi.org/10.1109/ipccc50635.2020.9391509","authors":["Chengtao Xu","Kai Zhang","Houbing Song"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2021-06-21T21:22:28Z","doi":"10.1109/ipccc50635.2020.9391509","addedAt":"2026-08-31T06:40:09.896Z","updatedAt":"2026-08-31T06:40:09.896Z"},{"id":"doi:10.1109/indin.2013.6622981","name":"An intelligent SA-adaptive interface to aid supervisory control of a UAV swarm","source":"crossref","abstract":"","url":"https://doi.org/10.1109/indin.2013.6622981","authors":["Florian Fortmann","Andreas Ludtke"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2013-10-17T21:49:48Z","doi":"10.1109/indin.2013.6622981","addedAt":"2026-08-31T06:40:09.896Z","updatedAt":"2026-08-31T06:40:09.896Z"},{"id":"doi:10.1007/978-3-030-60898-9_11","name":"Logical Shepherd Assisting Air Traffic Controllers for Swarm UAV Traffic Control Systems","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-3-030-60898-9_11","authors":["Heba El-Fiqi","Kathryn Kasmarik","Hussein A. Abbass"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2021-03-19T14:07:40Z","doi":"10.1007/978-3-030-60898-9_11","addedAt":"2026-08-31T06:40:09.896Z","updatedAt":"2026-08-31T06:40:09.896Z"},{"id":"doi:10.3389/fphy.2022.821321","name":"UAV Swarm Resilience Assessment Considering Load Balancing","source":"crossref","abstract":"UAV swarm are often subjected to random interference or malicious attacks during the execution of their tasks, resulting in UAV failure or communication interruption. When the UAV swarm is out of interference or the repair command is executed, the performance of the UAV swarm will be restored to a certain extent. However, how to measure the changes of UAV swarm’s performance during this process will be very important, and it is also crucial to determine whether the UAVs can continue to perform its mission. Based on this motivation, we propose a resilience assessment framework for UAV swarm considering load balancing after UAV swarm suffer from disturbances. We analyze the effects of different topologies and different parameters on the resilience of UAV swarm. The study found that attack intensity is the most important factor affecting UAV swarm performance. As the attack intensity increases, the performance of the UAV swarm decreases rapidly. At the same time, topology also has a very important impact on UAV swarm resilience.","url":"https://doi.org/10.3389/fphy.2022.821321","authors":["Pengtao Zhang","Tao Wu","Runhua Cao","Zi Li","Jiwei Xu"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2022-01-31T06:15:56Z","doi":"10.3389/fphy.2022.821321","addedAt":"2026-08-31T06:40:09.896Z","updatedAt":"2026-08-31T06:40:09.896Z"},{"id":"doi:10.1109/dasc52595.2021.9594300","name":"Adaptive UAV Swarm Mission Planning by Temporal Difference Learning","source":"crossref","abstract":"","url":"https://doi.org/10.1109/dasc52595.2021.9594300","authors":["Shreevanth Krishnaa Gopalakrishnan","Saba Al-Rubaye","Gokhan Inalhan"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2021-11-15T17:56:19Z","doi":"10.1109/dasc52595.2021.9594300","addedAt":"2026-08-31T06:40:09.896Z","updatedAt":"2026-08-31T06:40:09.896Z"},{"id":"doi:10.1109/icus48101.2019.8996077","name":"Swarm Intelligent Route Planning of UAV with Elastic Track Correction","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icus48101.2019.8996077","authors":["Liu Weitong","Lou Wenzhong","Wang Jinkui","Zhao Yueceng"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2020-02-14T10:13:18Z","doi":"10.1109/icus48101.2019.8996077","addedAt":"2026-08-31T06:40:09.896Z","updatedAt":"2026-08-31T06:40:09.896Z"},{"id":"doi:10.3390/electronics15143064","name":"Federated Energy-Aware Deep Reinforcement Learning for GNSS-Independent Swarm UAV Autonomy","source":"crossref","abstract":"Achieving scalable swarm autonomy in Global Navigation Satellite System (GNSS)-denied and communication-constrained environments remains an open challenge at the intersection of robotics, distributed optimization, and reinforcement learning. Existing unmanned aerial vehicle (UAV) autonomy frameworks typically decouple navigation, perception, and distributed learning, while assuming centralized coordination or reliable global positioning. This paper introduces a unified federated deep reinforcement learning architecture that enables GNSS-independent multi-UAV autonomy through the principled integration of multi-modal perception, decentralized policy optimization, energy-aware control, and edge-compliant inference. The proposed framework formulates joint navigation and dynamic target tracking as a partially observable Markov decision process optimized via Proximal Policy Optimization (PPO) over structured motion primitives. A communication-efficient federated learning mechanism enables distributed policy convergence under non-independent and identically distributed (non-IID) agent experiences without sharing raw data, establishing a scalable alternative to centralized training. To address sim-to-real discrepancies, the architecture incorporates domain randomization, structured sensor noise modeling, and curriculum-based training to promote robust zero-shot deployment. Multi-agent simulation experiments evaluate the swarm-level and federated-learning behavior of the proposed framework, while single-UAV field deployment evidence using a DJI Matrice 100 platform supports the feasibility of the onboard sensing, perception, and edge-inference pipeline under realistic outdoor conditions. The evaluation demonstrates stable decentralized convergence, improved energy efficiency relative to centralized baselines, robust target-tracking performance under GNSS-denied conditions, and real-time edge-compliant inference. The results establish that federated reinforcement learning can serve as a viable systems-level foundation for resilient, energy-aware, and scalable aerial swarm intelligence, advancing the state of the art in distributed autonomous robotics.","url":"https://doi.org/10.3390/electronics15143064","authors":["Nikolaos Almalis","George Tsihrintzis","George Baris","Nikolaos Armenakis"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-07-13T08:05:31Z","doi":"10.3390/electronics15143064","addedAt":"2026-08-31T06:40:09.896Z","updatedAt":"2026-08-31T06:40:09.896Z"},{"id":"doi:10.23919/jcc.2022.00.008","name":"Configurable virtual MIMO via UAV swarm: Channel modeling and spatial correlation analysis","source":"crossref","abstract":"","url":"https://doi.org/10.23919/jcc.2022.00.008","authors":["Jiachen Qian","Jue Wang","Shi Jin"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2022-05-10T15:50:31Z","doi":"10.23919/jcc.2022.00.008","addedAt":"2026-08-31T06:40:09.896Z","updatedAt":"2026-08-31T06:40:09.896Z"},{"id":"doi:10.1016/j.swevo.2026.102490","name":"K-DPSA: A hierarchical surrogate-assisted evolutionary algorithm for expensive constrained multi-objective optimization with application to UAV path planning","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.swevo.2026.102490","authors":["Ai-Qing Tian","Fei-Fei Liu","Shao-Quan Ni","Jeng-Shyang Pan"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-08-06T17:59:39Z","doi":"10.1016/j.swevo.2026.102490","addedAt":"2026-08-31T06:40:09.896Z","updatedAt":"2026-08-31T06:40:09.896Z"},{"id":"doi:10.1109/icvris51417.2020.00104","name":"Consensus Analysis of UAV Swarm Cooperative Situation Awareness","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icvris51417.2020.00104","authors":["Haifeng Zhu","Jinliang Li","Yang Gao","Guobing Cheng"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2021-09-21T16:45:17Z","doi":"10.1109/icvris51417.2020.00104","addedAt":"2026-08-31T06:40:09.896Z","updatedAt":"2026-08-31T06:40:09.896Z"},{"id":"doi:10.1109/ukrmico61577.2023.10380365","name":"UAV swarm neural network: infrastructure of relevant telecommunication systems","source":"crossref","abstract":"","url":"https://doi.org/10.1109/ukrmico61577.2023.10380365","authors":["Nickolay Pechurin","Lyudmila Kondratova"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-01-05T19:29:24Z","doi":"10.1109/ukrmico61577.2023.10380365","addedAt":"2026-08-31T06:40:09.896Z","updatedAt":"2026-08-31T06:40:09.896Z"},{"id":"doi:10.1007/978-981-19-3998-3_19","name":"A Hardware-in-the-Loop Simulation Platform for UAV Swarm Decision-Making","source":"crossref","abstract":"","url":"https://doi.org/10.1007/978-981-19-3998-3_19","authors":["Ziwei Xin","Jie Li","Ziquan Wang","Juan Li"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2022-07-29T03:16:37Z","doi":"10.1007/978-981-19-3998-3_19","addedAt":"2026-08-31T06:40:09.896Z","updatedAt":"2026-08-31T06:40:09.896Z"},{"id":"doi:10.1109/wcsp58612.2023.10404924","name":"DQN-Based Routing Resources Optimization in UAV Swarm Communication System","source":"crossref","abstract":"","url":"https://doi.org/10.1109/wcsp58612.2023.10404924","authors":["Jie Li","Xiaoyu Dang","Sai Li"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-02-02T18:25:28Z","doi":"10.1109/wcsp58612.2023.10404924","addedAt":"2026-08-31T06:40:09.896Z","updatedAt":"2026-08-31T06:40:09.896Z"},{"id":"doi:10.47297/taposatwsp2633-456909.20260704","name":"Cascade PID Control of Quadrotor UAV Based on Particle Swarm Optimization Algorithm","source":"crossref","abstract":"","url":"https://doi.org/10.47297/taposatwsp2633-456909.20260704","authors":["Chen Hanwen"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-07-03T02:37:59Z","doi":"10.47297/taposatwsp2633-456909.20260704","addedAt":"2026-08-31T06:40:09.896Z","updatedAt":"2026-08-31T06:40:09.896Z"},{"id":"doi:10.1109/asianhost68425.2025.11370366","name":"SACRED EYE: Secure Communication and Decentralized Monitoring for Swarm UAV Mission Completion","source":"crossref","abstract":"","url":"https://doi.org/10.1109/asianhost68425.2025.11370366","authors":["Hugo Le Dirach","Amin Rezaei"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-02-11T20:54:04Z","doi":"10.1109/asianhost68425.2025.11370366","addedAt":"2026-08-31T06:40:09.896Z","updatedAt":"2026-08-31T06:40:09.896Z"},{"id":"doi:10.5455/jjcit.71-1737031353","name":"On the optimization of UAV Swarm ACO-Based Path Planning","source":"crossref","abstract":"Unmanned Aerial Vehicles (UAVs) play a crucial role in various operations, especially where human life must be protected. Efficient path planning and autonomous coordination are critical for UAV swarms in dynamic 3D cooperative missions, where real-time adaptability is essential. This work addresses the chal lenge of optimizing UAV swarm operations by proposing a novel hybrid navigation system based on Ant Colony Optimization (ACO). The system efficiently balances path optimization with dynamic formation control, adapting to mission-specific requirements. A key contribution is the hybrid navigation approach, which prioritizes the desired formation of the swarm or the path length and flight time through a threshold based mechanism, allowing real-time adaptation to changing environments. The system also introduces a comprehensive cost function that evaluates the quality of the path, time consumption, mission complete ness, and formation divergence. The experiments show that the system consistently provides high-quality paths, achieving around 97% path quality in most cases, and never declines below 90%, even in challeng ing scenarios. The collision avoidance module ensures the completeness of the 100% mission, successfully navigating drones around obstacles, and maintaining an optimal path. Furthermore, the formation con servation mechanism effectively maintained the desired swarm configurations while dynamically adapting to obstacles, with the formation change staying within 30% of the allowable range in most scenarios, highlighting the system’s ability to preserve the desired formation even in dynamic environments. This research advances UAV swarm intelligence, enabling efficient and autonomous operations in complex 3D environments for diverse cooperative missions. The system’s adaptability to formation requirements opens new possibilities for UAV swarm applications, improving navigation efficiency and enhancing formation control.","url":"https://doi.org/10.5455/jjcit.71-1737031353","authors":["Areej Alabbadi","Belal Sababha"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-09-01T16:23:26Z","doi":"10.5455/jjcit.71-1737031353","addedAt":"2026-08-31T06:40:09.896Z","updatedAt":"2026-08-31T06:40:09.896Z"},{"id":"doi:10.9728/dcs.2026.27.7.1953","name":"Lightweight PUF-Based Mutual Authentication Protocol for Zero-Trust UAV Swarm Environments","source":"crossref","abstract":"","url":"https://doi.org/10.9728/dcs.2026.27.7.1953","authors":["Duhyun Baek","Taeshik Shon","Chanki Jeong"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-08-10T08:40:47Z","doi":"10.9728/dcs.2026.27.7.1953","addedAt":"2026-08-31T06:40:09.896Z","updatedAt":"2026-08-31T06:40:09.896Z"},{"id":"doi:10.1016/j.adhoc.2022.103068","name":"RGSO-UAV: Reverse Glowworm Swarm Optimization inspired UAV path-planning in a 3D dynamic environment","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.adhoc.2022.103068","authors":["Aparajita Chowdhury","Debashis De"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2022-12-06T20:32:01Z","doi":"10.1016/j.adhoc.2022.103068","addedAt":"2026-08-31T06:40:09.896Z","updatedAt":"2026-08-31T06:40:09.896Z"},{"id":"doi:10.1109/metroaerospace.2015.7180711","name":"Attitude and position estimation for an UAV swarm using consensus Kalman filtering","source":"crossref","abstract":"","url":"https://doi.org/10.1109/metroaerospace.2015.7180711","authors":["E. D'Amato","I. Notaro","M. Mattei","G. Tartaglione"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2015-08-12T18:47:54Z","doi":"10.1109/metroaerospace.2015.7180711","addedAt":"2026-08-31T06:40:09.896Z","updatedAt":"2026-08-31T06:40:09.896Z"},{"id":"doi:10.1109/icaci52617.2021.9435884","name":"MOEA/D based UAV swarm deployment for wireless coverage","source":"crossref","abstract":"","url":"https://doi.org/10.1109/icaci52617.2021.9435884","authors":["Shanshan Lu","Xiao Zhang","Yu Zhou","Shilong Sun"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2021-05-25T20:12:01Z","doi":"10.1109/icaci52617.2021.9435884","addedAt":"2026-08-31T06:40:09.896Z","updatedAt":"2026-08-31T06:40:09.896Z"},{"id":"oa:W4400990047","name":"eVTOLs and vertiports: Operations and infrastructure for a new and sustainable way to fly","source":"openalex","abstract":"The world is on the cusp of a zero-carbon revolution in urban mobility. Within a few years, electric vertical take-off and landing aircraft (eVTOLs) and vertiports will be operational across the globe. This is new, uncharted territory which needs some guidelines to help airport operators understand the commercial impetus behind vertiport development, and what eVTOL operators believe this new market needs. In particular, airports will want to know how they can connect to, and benefit from, urban air mobility. This paper describes the three main business models that eVTOL operators are working towards. It explains why vertiport designers must accommodate all those approaches and more. It then goes into some detail describing the factors that influence the selection and development of a vertiport location, together with the operational and regulatory requirements. This paper emphasises the importance of working with local communities because a vertiport network can only be effective if it is embedded in the community. Throughout the paper, there is a particular emphasis on the role that airport operators can play in helping to build this new industry. It shows how they can tap into this market to improve their own connectivity, ease local congestion and potentially open up routes to new groups of passengers.","url":"https://doi.org/10.69554/tcgo6126","authors":["Kevin E. Cox"],"tags":["Business","On the fly","Computer science","Operating system"],"confidence":0.72,"sites":["low-altitude"],"publishedDate":"2022-12-01","doi":"https://doi.org/10.69554/tcgo6126","addedAt":"2026-08-31T14:45:35.250Z","updatedAt":"2026-08-31T14:45:35.251Z"},{"id":"oa:W4384157077","name":"Repurposing urban air mobility infrastructure for sustainable transportation in metropolitan cities: A case study of vertiports in São Paulo, Brazil","source":"openalex","abstract":"","url":"https://doi.org/10.1016/j.scs.2023.104797","authors":["Jussan Knupp Ribeiro","Giovanna Miceli Ronzani Borille","Mauro Caetano","Evandro José da Silva"],"tags":["Metropolitan area","Transport engineering","Sustainable transport","Transportation infrastructure","Repurposing"],"confidence":0.72,"sites":["low-altitude"],"publishedDate":"2023-07-13","doi":"https://doi.org/10.1016/j.scs.2023.104797","addedAt":"2026-08-31T14:45:35.251Z","updatedAt":"2026-08-31T14:45:35.251Z"},{"id":"oa:W7117468391","name":"A multi-constraint framework for end-of-life prediction in electric vertical take-off and landing battery systems","source":"openalex","abstract":"","url":"https://doi.org/10.1016/j.est.2025.120162","authors":["Mariana Haddadin","Mohammad Qasem","Yazan Yassin","Moath Qandil","Mahesh Krishnamurthy"],"tags":["Battery (electricity)","Limit (mathematics)","Automotive engineering","Reliability engineering","Energy (signal processing)"],"confidence":0.72,"sites":["low-altitude"],"publishedDate":"2025-12-29","doi":"https://doi.org/10.1016/j.est.2025.120162","addedAt":"2026-08-31T14:45:35.251Z","updatedAt":"2026-08-31T14:45:35.251Z"},{"id":"oa:W4411952085","name":"Real-Time eVTOL Powertrain Modeling for the NASA Vertical Flight Simulator","source":"openalex","abstract":"This paper presents the development, verification, and validation results of an electrical Vertical Take-off and Landing (eVTOL) powertrain model. To better understand the potential impact of powertrain limitations on eVTOL aircraft handling qualities, a powertrain model was developed, integrated into revolutionary vertical lift technology (RVLT) reference vehicle designs, and tested in the National Aeronautics and Space Administration (NASA) Ames Vertical Motion Simulator (VMS). The high computational complexity required to capture the relevant powertrain physics may conflict with the ability to execute the simulation models in real time. In this paper, the authors present models and modeling decisions related to motors, batteries, and interconnections. Physics-based models and empirical models are used in tandem to support the modeling effort. Simulated motor-data comparisons are made to data collected from the NASA Scaled Power ElEctrified Drivetrain (SPEED) and Advanced Reconfigurable Electrified Aircraft Lab (AREAL) testbeds. The empirical battery model is compared to experimental 18650 battery data.","url":"https://doi.org/10.4050/f-0081-2025-0169","authors":["Peter M. Suh","P. Hanlon","Keith Hunker","Kyle R. Barnes","Xavier Collazo Fernandez","David J. Sadey","Mark J. Valco","Thomas Tallerico","Carlos Malpica","Julio Trevino"],"tags":["Powertrain","Simulation","Flight simulator","Computer science","Automotive engineering"],"confidence":0.72,"sites":["low-altitude"],"publishedDate":"2025-05-20","doi":"https://doi.org/10.4050/f-0081-2025-0169","addedAt":"2026-08-31T14:45:35.251Z","updatedAt":"2026-08-31T14:45:35.251Z"},{"id":"oa:W3184940860","name":"Propulsion Configuration Design and Analysis for an eVTOL Passenger Air Shuttle","source":"openalex","abstract":"View Video Presentation: https://doi.org/10.2514/6.2021-3290.vid This paper describes the design maturation of an electric vertical take-off and landing (eVTOL) aircraft for urban air mobility. This work aims to build upon previous work on the propulsion design to ensure the vehicle is stable and airworthy using GeneAl, a python based genetic algorithm. The design aspects used in the genetic algorithm for this study are wing position, planform dimensions, number of propulsors and their span-wise position. Additionally, a detailed powertrain configuration analyzed using Simulink is also presented. Aerodynamic efficiency of various propulsion configurations and power requirements will be evaluated and the final design presented.","url":"https://doi.org/10.2514/6.2021-3290","authors":["Nina Ayar","Mujahid Ahmed","Kamil Nocon","Roshan M. Patel","T.C. Green","John Reband","Kiruba S. Haran"],"tags":["Propulsion","Aeronautics","Aerospace engineering","Automotive engineering","Computer science"],"confidence":0.72,"sites":["low-altitude"],"publishedDate":"2021-07-28","doi":"https://doi.org/10.2514/6.2021-3290","addedAt":"2026-08-31T14:45:35.251Z","updatedAt":"2026-08-31T14:45:35.251Z"},{"id":"oa:W2969201781","name":"Performance and Design Optimization of the F-Helix eVTOL Concept","source":"openalex","abstract":"The objective of the paper is to study the F-Helix connected to the rotor hub. Lift is entirely generated by its two eVTOL concept. This concept modifies the SH-4 Silvercraft light bladed rotor. The absence of torque exchanged between the helicopter to use electric propulsion and a tip driven rotor. It fuselage and the main rotor greatly reduces the yaw moment is intended to compete with rotorcraft in the light-weight class required to trim and control the aircraft, such that small fans and address future urban air mobility needs. The elimination of can replace the tail rotor and no tail boom is required. The shaft driven propulsion is intended to reduce weight and drag in order to accommodate the added weight of batteries for energy removal of the tail boom reduces weight and drag, and allows storage. Once the configuration of the rotorcraft is established, the rotor mast height to be reduced. The main transmission the design is optimized to produce the least power required is eliminated leading to lower air frame weight and reduced while still meeting the structural and physical constraints of maintenance costs. The weight saved this way is allocated its components. Next, a simulation model is developed to assess to the battery pack powering the eFans, thus justifying the the rotorcraft performance in hover and forward flight. The all-electric approach. Unlike other current eVTOL concepts, payload/range performance is then evaluated for a typical aerial F-Helix has a low disk loading and a relatively high rotor urban transportation mission. Finally, the performance of the inertia, which makes it capable of autorotation. Lastly, F-Helix eVTOL configuration is compared to the SH-4. is based on an existing platform: the Silvercraft SH-4. Table I shows the general characteristics of the SH-4.","url":"https://doi.org/10.4050/f-0075-2019-14488","authors":["Umberto Saetti","Jacob Enciu","Joe Horn"],"tags":["Propulsion","Payload (computing)","Rotor (electric)","Range (aeronautics)","Aerospace engineering"],"confidence":0.72,"sites":["low-altitude"],"publishedDate":"2019-05-13","doi":"https://doi.org/10.4050/f-0075-2019-14488","addedAt":"2026-08-31T14:45:35.251Z","updatedAt":"2026-08-31T14:45:35.251Z"},{"id":"oa:W7199193287","name":"Stabilization of eVTOL aircraft using jets","source":"openalex","abstract":"Malé drony využívají ke své stabilizaci změnu otáček vrtulí. Tyto změny musí být rychlé, což by u eVTOL, kde se počítá s využitím více velikých vrtulí, byl problém. Rychlými změnami rychlosti by docházelo u velkých vrtulí, z důvodu setrvačných sil, k velkému namáhání. Pokud by bylo takové vrtule, které by namáhání vydržely, možné vyrobit, muselo by dojít i ke zvětšení výkonu motorů oproti potřebnému výkonu v klidném stavu a příslušných dílů s tím spojených. To vede k myšlence využití řízení pomocí trysek pro rychlé změny v kombinaci s řízením rychlosti jednotlivých rotorů. Jako aktuátory by bylo možno využít reakční trysky. Podobný způsob řízení náklonu se využívá u už existujících letadel s kolmým vzletem a přistáním, kde je odváděn plyn z proudového motoru a pouštěn do trysek na konci křídel. Pokud by se zdroj plynu nahradil zásobníkem, dal by se tento princip využít i u eVTOL. Regulace samotného tahu trysek by byla komplikovaná a neefektivní, proto samotné trysky mají pouze dva stavy on-off. Z toho důvodu musí být regulace realizovaná on-off řízením. Jako nejvhodnější se ukazuje použít BANG-OFF-BANG řízení, které je robustní, dostatečně rychlé a snadné na implementaci z pohledu senzoriky. Naproti tomu, PWM řízení se ukazuje jako nevhodné.","url":"https://openalex.org/W7199193287","authors":["Vladimír Šnejd","Vladimír Šnejd"],"tags":["Physics","Materials science","Mechanics","Mechanical engineering","Chemistry"],"confidence":0.72,"sites":["low-altitude"],"publishedDate":"2024-06-06","doi":"","addedAt":"2026-08-31T14:45:35.251Z","updatedAt":"2026-08-31T14:45:35.251Z"},{"id":"oa:W4317597359","name":"Aerostructural Predictions Combining FEniCS and a Viscous Vortex Particle Method","source":"openalex","abstract":"View Video Presentation: https://doi.org/10.2514/6.2023-1193.vid Electric Vertical Takeoff and Landing (eVTOL) aircraft experience complex, unsteady aerodynamic interactions between rotors, wings, and fuselage that can make design difficult. We introduce a new framework for predicting aerostructural interactions. Specifically, we demonstrate the coupling of a finite element solver with Reissner-Mindlin shell theory for computing deflections and a viscous vortex particle for capturing wakes. We perform convergence studies of the aerodynamics and the coupled aerostructural model. Finally, we share some preliminary results of the dynamic aeroelastic response of Uber's eCRM-002 main wing, and share some qualitative observations.","url":"https://doi.org/10.2514/6.2023-1193","authors":["Ryan Anderson","Andrew Ning","Ru Xiang","Sebastiaan P. van Schie","Mark Sperry","Darshan Sarojini","David Kamensky","John T. Hwang"],"tags":["Fuselage","Aerodynamics","Aeroelasticity","Solver","Finite element method"],"confidence":0.72,"sites":["low-altitude"],"publishedDate":"2023-01-19","doi":"https://doi.org/10.2514/6.2023-1193","addedAt":"2026-08-31T14:45:35.251Z","updatedAt":"2026-08-31T14:45:35.251Z"},{"id":"oa:W3114145059","name":"Baseline procedure for conceptual designing of an eVTOL for Urban Air Mobility","source":"openalex","abstract":"Urban Air Mobility (UAM) is a long-desired service which will revolutionize the present transportation facilities, by introducing air mobility for on-demand aviation. Due to the continuous increase in population, road traffic is increasing at alarming rates and the problem of congestion is also increasing in metro cities. These new services will provide improved ways for individuals to go around urban communities and urban territories while decreasing blockage. eVTOLs are aircraft that are capable of Vertical Take-off and Landing (VTOL) with no requirement of run-up space and are tremendously getting popular when it comes to UAM due to the important factor of clean propulsion with zero-emission. The industry is rapidly proposing and adopting new vehicle concepts to meet consumer demands and hence conceptually designing these vehicles with basic guidelines will set a preliminary foundation for more innovative technologies to come. This research work sets a baseline procedure and an initial iteration example for the industries and upcoming companies in this sector hence focuses on the Conceptual designing of eVTOLs. The novelty of the presented work lies in enhanced eVTOL configuration using coaxial ducted tilt rotors with wings.","url":"https://doi.org/10.1109/iceca49313.2020.9297649","authors":["Akshat Jain","Kunal Bavikar","A Sanjay","Manan Gupta","Burela Ramesh Gupta","H Dineshkumar"],"tags":["Baseline (sea)","Aviation","Transport engineering","Propulsion","Work (physics)"],"confidence":0.72,"sites":["low-altitude"],"publishedDate":"2020-11-05","doi":"https://doi.org/10.1109/iceca49313.2020.9297649","addedAt":"2026-08-31T14:45:35.251Z","updatedAt":"2026-08-31T14:45:35.251Z"},{"id":"oa:W7140283234","name":"Performance Comparison of Two Modular Permanent Magnet Machines With E-Core Stators for eVTOL Hovering Propulsion System","source":"openalex","abstract":"This paper proposes and investigates two novel phase-unit modular (PUM) permanent magnet machines with E-core stators (ECS) for electric vertical takeoff and landing (eVTOL) aircraft propulsion. First, the propulsion requirements of eVTOL aircraft are identified, and two representative ECS topologies are introduced, with detailed analyses of operating principles, slot-pole combinations, and winding configurations. Subsequently, the analytical models of the proposed two PUM machines are developed, e.g., armature magnetomotive force (MMF), inductance, back electromotive force (EMF), and torque characteristic. Based on these models, the two machines are designed and optimized, with emphasis on the effects of stator module number, magnet configuration, and geometric parameters. For overall performance benchmarking and validation, a series of conventional machine models are also established for comparison, which can demonstrate the pros and cons of two PUM machines. Eventually, two prototypes of PUM machines are fabricated and experimentally tested, and the results exhibit a good agreement with previous analytical predictions and finite element analysis (FEA). This paper aims to evaluate a series of modular machine topologies as a promising alternative for eVTOL propulsion systems.","url":"https://doi.org/10.1109/tte.2026.3677414","authors":["Yanlei Yu","Feng Chai","Yulong Pei","Christopher. H. T. Lee"],"tags":["Propulsion","Modular design","Magnet","Engineering","Computer science"],"confidence":0.72,"sites":["low-altitude"],"publishedDate":"2026-01-01","doi":"https://doi.org/10.1109/tte.2026.3677414","addedAt":"2026-08-31T14:45:35.251Z","updatedAt":"2026-08-31T14:45:35.251Z"},{"id":"oa:W4408735111","name":"Advanced Air Mobility for commuting? An exploration of economic, energy, and environmental feasibility","source":"openalex","abstract":"Advanced Air Mobility (AAM) presents an emerging alternative to traditional car driving for commuting in metropolitan areas. However, its feasibility has not been thoroughly studied nor well understood at the operational level. Given that AAM has not been in place, this study explores the economic, energy, and environmental feasibility of AAM for commuting at an early stage of AAM deployment. We propose a time-expanded network model to characterize the dynamics of eVTOL operations between a vertiport pair in different states: in-service flying, relocation flying, charging, and parking, while respecting various operational and commuter time window constraints. By jointly considering eVTOL flying with vertiport access and egress and using real-world data, we demonstrate an application of the model in the Chicago metropolitan area in the US. Different vertiport pairs and eVTOL aircraft models are investigated. We find substantial travel time saving if commuting by AAM. While vehicle operating cost will be higher using eVTOLs than using auto, the generalized travel cost will be less for commuters. On the other hand, with current eVTOL power requirement, the energy consumption and CO 2 emissions of AAM will be greater than those of auto driving, with an important contributor being the significance presence of empty flights relocation. These findings, along with sensitivity analysis, shed light on future eVTOL development to enhance the competitiveness of AAM as a viable option for commuting.","url":"https://doi.org/10.1016/j.team.2025.03.001","authors":["Daniela R. Pérez","Heeseung Shon","Bo Zou","Kenneth Kuhn"],"tags":["Energy (signal processing)","Natural resource economics","Environmental science","Economics","Physics"],"confidence":0.72,"sites":["low-altitude"],"publishedDate":"2025-03-22","doi":"https://doi.org/10.1016/j.team.2025.03.001","addedAt":"2026-08-31T14:45:35.251Z","updatedAt":"2026-08-31T14:45:35.251Z"},{"id":"oa:W7122630095","name":"Nonlinear vibration of functionally graded twisted bilayer graphene reinforced titanium laminates for low-altitude economy aircraft","source":"openalex","abstract":"","url":"https://doi.org/10.1016/j.ymssp.2026.113855","authors":["Z. H. Fu","W. Zhang","Y.F. Zhang"],"tags":["Nonlinear system","Materials science","Vibration","Structural engineering","Titanium alloy"],"confidence":0.72,"sites":["low-altitude"],"publishedDate":"2026-01-12","doi":"https://doi.org/10.1016/j.ymssp.2026.113855","addedAt":"2026-08-31T14:45:35.251Z","updatedAt":"2026-08-31T14:45:35.251Z"},{"id":"oa:W4380591659","name":"Visual Localization for Autonomous eVTOL Based on Semantic Map","source":"openalex","abstract":"The emerging concept of urban air mobility (UAM) and advanced air mobility (AAM) has made autonomous electric vertical takeoff and landing (eVTOL) aircraft a focal point for both academic research and commercial application. Achieving localization without the use of global navigation satellite systems (GNSS) is crucial to achieve full autonomy. In this paper, we present our exploration and progress on visual localization for autonomous eVTOL using semantic maps. By extracting semantic features from bottom-view images of the ground, we can create robust representations of flight routes that enable reliable and accurate localization even in dynamic environments. Taking inspiration from high-precision maps used in self-driving cars, we have designed a three-stage method that leverages massive flight data collected by eVTOLs during regular flights. Through on-board mapping and on-cloud merging, we can build up-to-date semantic maps of flight routes, which is further used for onboard localization. Real-world experiments conducted on an eVTOL prototype named ZJ-Copter show the localization accuracy is less than 2 meters over a flight distance of approximately 2.0 kilometers. We believe that our method has the potential to serve as an alternative localization solution for autonomous eVTOLs.","url":"https://doi.org/10.4050/f-0079-2023-18193","authors":["Senwei Xiang","Weimin Yang","Ting Wang","Minxiang Ye","Yifei Zhang","Anhuan Xie"],"tags":["GNSS applications","Computer science","Point cloud","Global Positioning System","Artificial intelligence"],"confidence":0.72,"sites":["low-altitude"],"publishedDate":"2023-05-16","doi":"https://doi.org/10.4050/f-0079-2023-18193","addedAt":"2026-08-31T14:45:35.251Z","updatedAt":"2026-08-31T14:45:35.251Z"},{"id":"oa:W4412977681","name":"Mechanistic Interrogation of Li Stripping under Dynamic Operation in Solid-State Batteries","source":"openalex","abstract":"Solid-state batteries (SSBs) offer tremendous promise for electric aviation due to their high energy density and inherent safety advantages. However, the stability of solid/solid interfaces under dynamic, high-power discharge conditions, such as those in electric vertical takeoff and landing (eVTOL) aircraft, remains poorly understood. In this work, we reveal the mission-dependent nature of void growth at the lithium/solid-electrolyte interface across various eVTOL profiles and external pressures. We demonstrate how mission specifications like takeoff hover, altitude, and landing power drive contact loss, while low-power segments (e.g., cruise) promote contact recovery. A mechanistic paradigm linking contact loss and recovery to the interplay between reaction heterogeneity, chemomechanics, and lithium diffusion is established. We also quantify critical stack pressure regimes that govern void formation across the payload–range design space. These insights provide a foundational framework for designing mission-specific SSB architectures and pressure-control strategies tailored to the unique demands of electric aviation.","url":"https://doi.org/10.1021/acsenergylett.5c01911","authors":["Kausthubharam","Abhinand Ayyaswamy","Bairav S. Vishnugopi","D. P. Tewari","Dhevathi Rajan Rajagopalan Kannan","Vinay Premnath","Wan Si Tang","Judith A. Jeevarajan","Partha P. Mukherjee"],"tags":["Interrogation","Stripping (fiber)","Solid-state","State (computer science)","Materials science"],"confidence":0.72,"sites":["low-altitude"],"publishedDate":"2025-08-05","doi":"https://doi.org/10.1021/acsenergylett.5c01911","addedAt":"2026-08-31T14:45:35.251Z","updatedAt":"2026-08-31T14:45:35.251Z"},{"id":"oa:W4406404549","name":"Editorial: Recent developments in aerodynamics","source":"openalex","abstract":"This editorial paper examines the cutting-edge advancements in aerodynamics, a critical field within fluid mechanics, with wide-ranging applications in aviation, automotive engineering, wind energy, and beyond. As aerodynamics evolves, it influences the design of aircraft, turbines, vehicles, and energy systems, necessitating specialized tools and methods for in-depth research and application. Recent advancements in experimental techniques, computational methods, material science, and flow control technologies are driving significant changes in aerodynamic design and performance. Figure 1 presents a detailed chart illustrating the recent advancements in aerodynamic tools, methodologies, technologies, and applications.Experimental aerodynamics, particularly through sub-scale and full-scale testing and flight experiments, will make significant strides with the development of advanced sensors, instruments, and measurement systems. For example, the future of time-resolved PIV is expected to be shaped by technological advancements in imaging, data processing, and integration with emerging techniques. Future developments could allow researchers to observe flows over multiple scales simultaneously, helping to link small-scale turbulent dynamics with large-scale flow structures and improve our understanding of turbulence at all scales. The combination of higher resolution, real-time analysis, multi-dimensional measurements, and the use of machine learning will make PIV an even more powerful tool for studying aerodynamics. Wind tunnel testing will remain a crucial method for assessing aircraft performance, particularly in different flight phases [1-3]. Simultaneously, computational tools, such as CFD, will progress. More accurate simulations of airflow around complex geometries are now possible, with techniques like LES [4] and DNS [5] offering higher resolution but at the increased computational cost. Machine learning and artificial intelligence are also gaining importance in aerodynamics, enabling the optimization of designs, improving CFD accuracy, and developing new turbulence models [6]. CFD is anticipated to undergo a paradigm shift with the integration of artificial intelligence and machine learning, enabling faster, more accurate simulations of complex flows, including turbulent and hypersonic regimes. Flow control technologies, which optimize aerodynamic performance by manipulating natural airflow around structures, have evolved considerably. Advances in actuators, including modulated pulse jets [7, 8], plasma actuators [9], model-free closed-loop systems [10], and hybrid methods [11], aim to enhance control, reduce energy consumption, and improve robustness. These technologies will become particularly useful in applications where efficient aerodynamic performance is critical under varying conditions. These innovations are expected to enhance both the performance and sustainability of next-generation aircraft. Material science will continue to play a pivotal role in improving aerodynamic performance. Lightweight composites, shape-memory alloys, and advanced materials like polymeric gyroid structures [12] are being developed to reduce weight, enhance structural integrity, and lower drag. Finally, smart materials with adaptive surface properties will enable real-time optimization of drag and lift, ushering in a new era of dynamic, responsive aerodynamic systems. These advancements, underpinned by computational, material, and environmental innovations, will redefine the role of aerodynamics in addressing global challenges and driving technological progress. Additionally, the rise of 3D printing technology has revolutionized the production of complex aerodynamic components, enabling the creation of intricate shapes previously difficult to manufacture. This capability will open new avenues for optimizing designs in aerospace and automotive applications.Nature has long been a source of inspiration for aerodynamic design. Bio-inspire","url":"https://doi.org/10.3389/fmech.2024.1537383","authors":["Arash Shams Taleghani","Farschad Torabi"],"tags":["Aerodynamics","Engineering","Aerospace engineering","Computer science"],"confidence":0.72,"sites":["low-altitude"],"publishedDate":"2025-01-15","doi":"https://doi.org/10.3389/fmech.2024.1537383","addedAt":"2026-08-31T14:45:35.251Z","updatedAt":"2026-08-31T14:45:35.251Z"},{"id":"oa:W3185068929","name":"Assessing the Suitability of Urban Air Mobility Vehicles for a Specific Aerodrome Network","source":"openalex","abstract":"View Video Presentation: https://doi.org/10.2514/6.2021-3208.vid A wide array of electric vertical takeoff and landing (eVTOL) vehicles are in various stages of development. The addition of these vehicles to the Urban Air Mobility (UAM) market would provide more options for short to medium distance aerial transportation, filling the niche that is currently occupied by helicopters. However, the costs and benefits of adopting these vehicles are reliant on many different factors related to both the aircraft and its operating environment. This paper compares 13 UAM vehicles (12 emerging eVTOL vehicles and one helicopter) using a Direct Operating Cost (DOC) model developed by the authors to compute economic metrics. With the computed DOC values for each vehicle, a computational framework determines, from a set of known passenger trips in the Chicago Metropolitan Area, the number of passenger trips that would use UAM as part of the total trip. These assessments use a specific network of aerodromes in the Chicago Metropolitan Area using existing sites that could support UAM aircraft operations. From the results, we infer important vehicle characteristics and preferable vehicle configurations for the specific aerodrome network that lead to the highest number of passenger trips utilizing UAM.","url":"https://doi.org/10.2514/6.2021-3208","authors":["Ryan James Howard","Ethan Wright","Sai Mudumba","Nicholas I. Gunady","Brandon E. Sells","Apoorv Maheshwari"],"tags":["Metropolitan area","TRIPS architecture","Transport engineering","Takeoff","Takeoff and landing"],"confidence":0.72,"sites":["low-altitude"],"publishedDate":"2021-07-28","doi":"https://doi.org/10.2514/6.2021-3208","addedAt":"2026-08-31T14:45:35.251Z","updatedAt":"2026-08-31T14:45:35.251Z"},{"id":"oa:W4200436658","name":"Optimal Design of High Speed Electric Ducted Fan for Private eVTOL Considering Specific Power and Temperature Distribution","source":"openalex","abstract":"This paper details a permanent magnet synchronous motor(PMSM) design of the high-speed electric ducted fan with small blade diameter for private eVTOL. The key challenge in the design is to trade off specific power and temperature distribution under fixed outer diameter limit. This paper analyzes the influence of split ratio on specific current loading and loss. The appropriate split ratio and pole/slot combination of the motor are determined to improve the specific power of the motor and avoid excessive temperature rise. Two air-cooled heat dissipation modes corresponding to aircraft take-off and cruise process are adopted for thermal analysis of the motor. The simulation results prove the reliability and validity of the designed motor.","url":"https://doi.org/10.23919/icems52562.2021.9634242","authors":["Weikang Huang","Zhuoran Zhang","Wenxin Huang","Huamin Gao"],"tags":["Reliability (semiconductor)","Power (physics)","Automotive engineering","Electric motor","Thermal"],"confidence":0.72,"sites":["low-altitude"],"publishedDate":"2021-10-31","doi":"https://doi.org/10.23919/icems52562.2021.9634242","addedAt":"2026-08-31T14:45:35.251Z","updatedAt":"2026-08-31T14:45:35.251Z"},{"id":"oa:W4409343374","name":"Aerodynamic design of fixed-wing VTOL aircraft powered by gas-driven fan propulsion system","source":"openalex","abstract":"","url":"https://doi.org/10.1016/j.ast.2025.110165","authors":["Yuanzhao Zhu","Guoping Huang","Chen Xia","Yang Wu"],"tags":["Aerodynamics","Aerospace engineering","Propulsion","Wing","Fixed wing"],"confidence":0.72,"sites":["low-altitude"],"publishedDate":"2025-04-10","doi":"https://doi.org/10.1016/j.ast.2025.110165","addedAt":"2026-08-31T14:45:35.251Z","updatedAt":"2026-08-31T14:45:35.251Z"},{"id":"oa:W4387801692","name":"Scene-Matching Localization for Autonomous Evtol Based on Bag-Of-Visual-Words","source":"openalex","abstract":"With the rapid growth of urban air mobility (UAM) and the potential market opportunities it presents, achieving precise and reliable localization for electrical vertical takeoff and landing (eVTOL) aircraft is crucial. Traditional global navigation satellite system (GNSS) based methods suffer from reliability issues, making localization without GNSS a pressing need. This paper presents a scene-matching localization method based on Bag-of-Visual-Words (BOVW) for autonomous eVTOL. The proposed method overcomes challenges of environmental differences between live images and reference maps, as well as the computational limitations of existing solutions. The system utilizes on-cloud training, on-cloud encoding, and onboard localization stages to ensure robust localization performance. Real-world experiments on an eVTOL prototype– ZJ-Copter validate the effectiveness of the approach, with a matching success rate exceeding 94% and localization accuracy within 3 meters. The method holds promise as a GNSS-independent localization solution for autonomous eVTOLs in the emerging field of UAM.","url":"https://doi.org/10.1109/igarss52108.2023.10282008","authors":["Senwei Xiang","Minxiang Ye","Ting Wang","Yifei Zhang","Zehua Men","Anhuan Xie"],"tags":["GNSS applications","Computer science","Cloud computing","Artificial intelligence","Computer vision"],"confidence":0.72,"sites":["low-altitude"],"publishedDate":"2023-07-16","doi":"https://doi.org/10.1109/igarss52108.2023.10282008","addedAt":"2026-08-31T14:45:35.251Z","updatedAt":"2026-08-31T14:45:35.251Z"},{"id":"oa:W4385340891","name":"Efficient Box Approximation for Data-Driven Probabilistic Geofencing","source":"openalex","abstract":"Advanced Air Mobility (AAM) using electrical vertical take-off and landing (eVTOL) aircraft is an emerging way of air transportation within metropolitan areas. A key challenge for the success of AAM is how to manage large-scale flight operations with safety guarantees in high-density, dynamic, and uncertain airspace environments in real time. To address these challenges, we introduce the concept of a data-driven probabilistic geofence, which can guarantee that the probability of potential conflicts between eVTOL aircraft is bounded under data-driven uncertainties. To evaluate the probabilistic geofences online, Kernel Density Estimation (KDE) based on Fast Fourier Transform (FFT) is customized to model data-driven uncertainties. Based on the FFT-KDE values from data-driven uncertainties, we introduce an optimization framework of Integer Linear Programming (ILP) to find a parallelogram box to approximate the data-driven probabilistic geofence. To overcome the computational burden of ILP, an efficient heuristic algorithm is further developed. Numerical results demonstrate the feasibility and efficiency of the proposed algorithms.","url":"https://doi.org/10.1142/s2301385024410024","authors":["Pengcheng Wu","Jun Chen"],"tags":["Probabilistic logic","Computer science","Heuristic","Kernel density estimation","Fast Fourier transform"],"confidence":0.72,"sites":["low-altitude"],"publishedDate":"2023-07-28","doi":"https://doi.org/10.1142/s2301385024410024","addedAt":"2026-08-31T14:45:35.251Z","updatedAt":"2026-08-31T14:45:35.251Z"},{"id":"oa:W4407951697","name":"The Design of a Lightweight Inductive Power Coupler for eVTOLs","source":"openalex","abstract":"Inductive power transfer (IPT) technology can play an important role in achieving the sustainability goals of the aviation industry. However, the power-to-weight ratio of the IPT power pick-up system needs to improve significantly to beyond 10 kW/kg to improve feasibility for applications in the aviation sector. This paper presents a new magnetic coupler design that would help achieve this power-to-weight target in an IPT system with small airgaps. The proposed design introduces an air cavity between the coil and the ferrite structure of the magnetic coupler on the eVTOL/aircraft side. The ferrite structure in this design functions somewhat like a magnetic shield, and the air cavity helps reduce the flux density in the ferrite while also making the flux distribution more uniform. A comparison between traditional and proposed designs is provided to show that a 40% weight reduction can be achieved. Experimental data of a 90 kW prototype is presented to show that it can operate at an efficiency of 97.4% when transferring power over a 10 mm coil-coil air-gap.","url":"https://doi.org/10.1109/spec62217.2024.10893014","authors":["Duleepa J. Thrimawithana","Kai-Yeung Li","Feiyang Jackman Lin","Didier Chassaigne","Olivier Crépel","Madalina Pascaru","Antoine Van der Laan","Julien Gosteau","Grant A. Covic"],"tags":["Hybrid coupler","Power (physics)","Computer science","Electrical engineering","Engineering"],"confidence":0.72,"sites":["low-altitude"],"publishedDate":"2024-12-02","doi":"https://doi.org/10.1109/spec62217.2024.10893014","addedAt":"2026-08-31T14:45:35.251Z","updatedAt":"2026-08-31T14:45:35.251Z"},{"id":"oa:W4415374001","name":"A physics-inspired-data-driven model of eVTOL in-ground-effect thrust based on meta-learning and BEMT","source":"openalex","abstract":"Abstract Electric vertical take-off and landing (eVTOL) aircraft with ducted fans have high efficiency, high reliability, and low noise, and have great potential to become the majority of future urban air mobility. Nonetheless, the ground effect will cause fluctuations in ducted fan thrust during take-off and landing conditions. Conventional physical models fail to reflect its transient and non-linear nature. In this paper, a physics-inspired-data-driven (PIDD) model for predicting the in-ground-effect (IGE) thrust of ducted fans is presented. The total thrust is treated as the composition of average thrust and transient thrust. For the average part, hypotheses of ideal twist and exponential function are adopted based on the structure of blade element momentum theory (BEMT). For the transient part, a classification task based on cross entropy is added to the meta-learning algorithm. Altitude related and altitude unrelated items are constructed to obtain the PIDD model and enhance its generalization ability. The features of the model are rotary speed, voltage, and current, while the label is IGE thrust. Few-shot training indicates that the proposed model can predict transient thrust accurately. With mean error on training and testing sets is 1.1% and 0.7% respectively, the PIDD model outperforms the conventional physical model by 4.6% and 1.7% and the data-driven model by 1.5% and 2.7%. The PIDD model constructed succeeds in predicting transient IGE thrust and provides new ideas for relevant research.","url":"https://doi.org/10.1007/s44270-025-00016-8","authors":["Yuhang He","Yiwei Luo","Yuping Qian","Yangjun Zhang"],"tags":["Thrust","Transient (computer programming)","Computer science","Generalization","Control theory (sociology)"],"confidence":0.72,"sites":["low-altitude"],"publishedDate":"2025-10-21","doi":"https://doi.org/10.1007/s44270-025-00016-8","addedAt":"2026-08-31T14:45:35.251Z","updatedAt":"2026-08-31T14:45:35.251Z"},{"id":"oa:W7118944807","name":"Safety Assessment of Critical Aircraft Systems Under Multisource Uncertainty Based on Evidence Network","source":"openalex","abstract":"As civil aircraft components become more autonomous in China, airworthiness certification is facing the problem of insufficient failure data, leading to challenges in terms of uncertainty. Traditional probabilistic models struggle to effectively integrate multisource uncertainties, limiting their application in data‐scarce scenarios. This study therefore proposes a framework based on evidential networks for quantifying uncertainty risk, including: (1) classifying the failure rates of bottom events into handbook data, flight operation data, and expert experience; (2) quantifying uncertainties through log‐normal distributions and evidence combination rules; (3) converting fault trees into evidential networks and propagating uncertainties through logical gates. In the analysis of the flap control system, the probability intervals for catastrophic failure condition uncommanded motion of flaps are [3.449 × 10 −11 and 4.811 × 10 −9 ]. After the improved pignistic decision probability transformation, the point estimate is 1.638 × 10 −9 . For the eVTOL aircraft power system, the failure probability intervals of the catastrophic failure condition battery thermal runaway causes uncontrolled fire are [1.604 × 10 −10 and 2.287 × 10 −9 ], with a point estimate of 9.227 × 10 −10 . The result shows that by accommodating heterogeneous data sources and transparently propagating uncertainties, this method demonstrates significant applicability in both traditional aircraft components and new eVTOL aircraft systems, highlighting its effectiveness. It provides an extensible framework for safety assessment and airworthiness certification.","url":"https://doi.org/10.1155/ijae/2052804","authors":["Nve Xiao","Boyang Li","Xiaocong Wang","Jie Bai"],"tags":["Airworthiness","Probabilistic logic","Reliability engineering","Fault tree analysis","Reliability (semiconductor)"],"confidence":0.72,"sites":["low-altitude"],"publishedDate":"2026-01-01","doi":"https://doi.org/10.1155/ijae/2052804","addedAt":"2026-08-31T14:45:35.251Z","updatedAt":"2026-08-31T14:45:35.251Z"},{"id":"oa:W4312938626","name":"eVTOL Rotor Noise Study Using Combined Comprehensive Modeling with Acoustic Analysis","source":"openalex","abstract":"Interest in eVTOL air vehicles has increased significantly in recent years. Most development efforts for eVTOL aircraft have addressed conventional performance objectives. However, the acoustic noise remains a critical aspect that must be dealt with due to its significant impact on operations. This paper summarizes a study of eVTOL rotor acoustic noise variation using a CFD augmented comprehensive rotorcraft modeling and simulation tool combined with acoustic analysis that was validated against measured eVTOL drone rotor noise data. The paper presents a thorough parametric investigation of the variation of the rotor/propeller acoustic signature with emphasis on the broadband noise that often dominates in eVTOL rotor/propeller operation. The parametric study has investigated the effect of a range of rotor parameters, including number of rotor blades, rotor solidity, tip Mach number, blade planform (e.g., chord distribution), etc. The study has revealed important acoustic characteristics of eVTOL rotors. Several findings from the study are fundamentally unique to eVTOL rotors, which provide physical insight into supporting low noise eVTOL rotor/propeller design and development.","url":"https://doi.org/10.4050/f-0077-2021-16688","authors":["Chengjian He","James D. Baeder","Jeewoong Kim","Chris Ware","Seungjoon Yang","Yong Chae Jung"],"tags":["Rotor (electric)","Noise (video)","Propeller","Acoustics","Parametric statistics"],"confidence":0.72,"sites":["low-altitude"],"publishedDate":"2021-05-10","doi":"https://doi.org/10.4050/f-0077-2021-16688","addedAt":"2026-08-31T14:45:35.251Z","updatedAt":"2026-08-31T14:45:35.251Z"},{"id":"oa:W3121064773","name":"Rapid Aero Modeling for Urban Air Mobility Aircraft in Wind-Tunnel Tests","source":"openalex","abstract":"View Video Presentation: https://doi.org/10.2514/6.2021-1644.vid Rapid Aero Modeling (RAM) applied to wind tunnel testing, RAM-T, is an approach to efficiently and automatically obtain aerodynamic models during testing. The approach saves time and resources by responding to the demand for experimental efficiency and model fidelity. Motivation for this demand is more acute when investigating a class of vehicles categorized as Urban Air Mobility (UAM) aircraft where many features from both aircraft and rotorcraft are present. RAM-T provides a feedback loop around the test facility to guide the test toward high-fidelity, statistically rigorous aircraft models. The general RAM approach is applicable to computational or physical experiments. It combines concepts from design of experiment theory and aircraft system identification theory that allow the user the freedom to choose, in advance of the test, a specific level of fidelity in terms of prediction error. RAM only collects data required to meet the user-specified fidelity and fidelity is only limited by the facility and test article capabilities. This paper presents results from tests conducted for development of an automated RAM-T technology. The results highlight some of the unique features of RAM applied to eVTOL configurations.","url":"https://doi.org/10.2514/6.2021-1644","authors":["Patrick C. Murphy","Benjamin M. Simmons","David B. Hatke","Ronald C. Busan"],"tags":["Wind tunnel","Aeronautics","Aerospace engineering","Environmental science","Atmospheric model"],"confidence":0.72,"sites":["low-altitude"],"publishedDate":"2021-01-04","doi":"https://doi.org/10.2514/6.2021-1644","addedAt":"2026-08-31T14:45:35.251Z","updatedAt":"2026-08-31T14:45:35.251Z"},{"id":"oa:W4235628215","name":"Development of Vertiport Capacity Envelopes and Analysis of Their Sensitivity to Topological and Operational Factors","source":"openalex","abstract":"This study develops an Integer Programming (IP) approach to analytically estimate vertiport capacity envelopes. The approach is used to determine the sensitivity of vertiport capacity to the number and layout of touchdown and liftoff pads, taxiways, gates, and parking pads (i.e. the vertiport topology). The study also assesses the sensitivity of vertiport capacity to operational parameters including taxi time, turnaround time, pre-staged aircraft, and approach/departure procedure independence, among others. Findings indicate the importance of balancing the number of touchdown and liftoff pads with the number of gates to achieve maximum aircraft throughput per vertiport footprint. Furthermore, simultaneous paired arrivals or departures provide significant throughput gains without the need for fully independent approach and departure procedures. The methodology and findings introduced in this paper support the development of concepts of operation to maximize throughput for a given vertiport footprint and demand scenario. While throughput has been extensively researched for fixed-wing operations, little research has been dedicated to the operation of infrastructure for Vertical Takeoff and Landing (VTOL) aircraft. The emergence of new VTOL aircraft to conduct a potentially large number of urban air mobility operations creates a need to better understand the operation and throughput capacity of vertiports, especially in space constrained inner-city locations. This paper reviews numerous existing heliport designs to derive four topology classes of vertiport layouts. The IP formulation of vertiport operations is readily adapted to represent the infrastructure and operations of these layouts.","url":"https://doi.org/10.2514/6.2019-0526","authors":["Parker D. Vascik","R. John Hansman"],"tags":["Throughput","Touchdown","Footprint","Sensitivity (control systems)","Takeoff"],"confidence":0.72,"sites":["low-altitude"],"publishedDate":"2019-01-06","doi":"https://doi.org/10.2514/6.2019-0526","addedAt":"2026-08-31T14:45:35.251Z","updatedAt":"2026-08-31T14:45:35.251Z"},{"id":"oa:W7110605680","name":"Machine learning based modeling and designing of cyclorotor for an eVTOL aircraft","source":"openalex","abstract":"The rise of electric vertical take-off and landing (eVTOL) vehicles has received significant attention in recent years because of their potential to transform transportation and solve key challenges in urban air mobility. These vehicles offer a variety of potential advantages, including lower environmental impact, improved energy efficiency, reduced noise, and operational flexibility and accessibility. However, majority of the existing eVTOL platforms face limitations in range, endurance, and payload capability. This thesis explores the use of a novel propulsion system, known as cycloidal rotor, that has the potential to overcome the limitations of existing eVTOL platforms. One of the key advantages of the cycloidal rotor is its instantaneous 360° thrust vectoring capability. This enables it to be used as a primary propulsion system for both vertical take-off landing (VTOL) and cruise conditions. A key contribution of the thesis is the development of a computationally efficient cycloidal rotor aerodynamic model that can be utilized for preliminary vehicle design and optimization purposes. The developed aerodynamic model utilizes a novel physics-guided neural network (PGNN) architecture that combines a physics-based unsteady aerodynamic model with a neural network (NN). Validations with existing experimental data show remarkable accuracy of the developed PGNN model. In the next step, this cycloidal rotor model is utilized for the conceptual design of an eVTOL aircraft propelled by a set of cycloidal rotors. After developing a baseline configuration, a coupled-trim model of the entire aircraft is developed by combining vehicle response equations with the trim equations of the aircraft. This model predicts the control inputs required to balance the forces and moments for a steady-level flight and also computes the cycloidal rotor performance corresponding to the predicted control inputs. This coupled trim model is further leveraged to perform systematic parametric study while designing key parameters of the cycloidal rotors and other aircraft components. The performance of the final designed cycloidal rotor is verified through high-fidelity CFD simulations. The present study along with the developed computational models forms an important foundation for developing a cycloidal rotor-based eVTOL aircraft.","url":"https://openalex.org/W7110605680","authors":["Fardin, Nabia"],"tags":["Aerodynamics","Propulsion","Engineering","Key (lock)","Cycloid"],"confidence":0.72,"sites":["low-altitude"],"publishedDate":"2025-05-01","doi":"","addedAt":"2026-08-31T14:45:35.251Z","updatedAt":"2026-08-31T14:45:35.251Z"},{"id":"oa:W4390036566","name":"Extended Hierarchical Kriging Method for Aerodynamic Model Generation Incorporating Multiple Low-Fidelity Datasets","source":"openalex","abstract":"Multi-fidelity surrogate modeling (MFSM) methods are gaining recognition for their effectiveness in addressing simulation-based design challenges. Prior approaches have typically relied on recursive techniques, combining a limited number of high-fidelity (HF) samples with multiple low-fidelity (LF) datasets structured in hierarchical levels to generate a precise HF approximation model. However, challenges arise when dealing with non-level LF datasets, where the fidelity levels of LF models are indistinguishable across the design space. In such cases, conventional methods employing recursive frameworks may lead to inefficient LF dataset utilization and substantial computational costs. To address these challenges, this work proposes the extended hierarchical Kriging (EHK) method, designed to simultaneously incorporate multiple non-level LF datasets for improved HF model construction, regardless of minor differences in fidelity levels. This method leverages a unique Bayesian-based MFSM framework, simultaneously combining non-level LF models using scaling factors to construct a global trend model. During model processing, unknown scaling factors are implicitly estimated through hyperparameter optimization, resulting in minimal computational costs during model processing, regardless of the number of LF datasets integrated, while maintaining the necessary accuracy in the resulting HF model. The advantages of the proposed EHK method are validated against state-of-the-art MFSM methods through various analytical examples and an engineering case study involving the construction of an aerodynamic database for the KP-2 eVTOL aircraft under various flying conditions. The results demonstrated the superiority of the proposed method in terms of computational cost and accuracy when generating aerodynamic models from the given multi-fidelity datasets.","url":"https://doi.org/10.3390/aerospace11010006","authors":["Vinh Pham","Maxim Tyan","Tuấn Anh Nguyễn","Jae-Woo Lee"],"tags":["Computer science","Hyperparameter","Kriging","Fidelity","Surrogate model"],"confidence":0.72,"sites":["low-altitude"],"publishedDate":"2023-12-20","doi":"https://doi.org/10.3390/aerospace11010006","addedAt":"2026-08-31T14:45:35.251Z","updatedAt":"2026-08-31T14:45:35.251Z"},{"id":"oa:W4312126906","name":"Failure Behavior Analysis of the Spherical-Roof Contoured Core (SRCC) Under Quasi-Static Loading: A Numerical Study","source":"openalex","abstract":"","url":"https://doi.org/10.1007/s11668-022-01579-3","authors":["Quanjin Ma","M. R. M. Rejab","Shukur Abu Hassan","Mohammad Azeem","M.S. Saffirna"],"tags":["Roof","Core (optical fiber)","Materials science","Ultimate tensile strength","Structural engineering"],"confidence":0.72,"sites":["low-altitude"],"publishedDate":"2022-12-24","doi":"https://doi.org/10.1007/s11668-022-01579-3","addedAt":"2026-08-31T14:45:35.251Z","updatedAt":"2026-08-31T14:45:35.251Z"},{"id":"oa:W4410945617","name":"Dynamic Inversion Flight Control Laws for Automatic Transition of Tilt-Rotor/Wing Aircraft","source":"openalex","abstract":"This article presents the development and demonstration of dynamic inversion (DI) flight control laws for the automatic transition of tilt-rotor/wing aircraft from hover to cruise flight. The DI control laws employ a multiloop architecture without requiring gain scheduling; however, feedback linearization must be scheduled based on the aircraft's linearized dynamics, which depend on variables such as airspeed and nacelle angle. A generic multirotor/wing simulation model is adapted to represent four configurations: a Bell XV-15-like tilt-rotor, two eVTOL aircraft resembling the Joby S4 and Archer Midnight, and a tilt-wing aircraft similar to the NASA Tilt Wing. The XV-15-like model is validated against US Army/NASA flight-test data and existing models. The simulation models are trimmed and linearized across speed increments from hover to cruise, and model-order reduction methods are applied for control design. The DI control laws are shown to comply with frequency-domain-based stability, performance, and handling quality specifications in selected flight conditions. Closed-loop simulations using the full-order nonlinear dynamics of all configurations demonstrate successful automatic transitions from hover to cruise with accurate forward speed tracking and minimal off-axis response.","url":"https://doi.org/10.4050/jahs.70.032005","authors":["Umberto Saetti"],"tags":["Wing","Tilt (camera)","Control theory (sociology)","Aerospace engineering","Rotor (electric)"],"confidence":0.72,"sites":["low-altitude"],"publishedDate":"2025-01-01","doi":"https://doi.org/10.4050/jahs.70.032005","addedAt":"2026-08-31T14:45:35.251Z","updatedAt":"2026-08-31T14:45:35.251Z"},{"id":"oa:W2883306389","name":"A Proposed Approach to Studying Urban Air Mobility Missions Including an Initial Exploration of Mission Requirements","source":"openalex","abstract":"Urban air mobility (UAM) is an emerging aviation market that seeks to revolutionize mobility around metropolitan areas via a safe, efficient, and accessible on-demand air transportation system for passengers and cargo. In this paper we describe our three-pronged approach to studying passenger-carrying UAM missions, and we detail the first phase of this approach, which consists of defining an initial set of requirements for multiple exemplar UAM missions. The development of these mission requirements provides justifiable assumptions that feed the second phase of the approach, which is performing aircraft conceptual design studies. Vehicle design is not included in this paper, but the work described here will define sizing missions for follow-on design and sizing studies. The aircraft that emerge from the design studies can then feed the third phase of our UAM analysis approach, which involves simulating an entire UAM network over a metropolitan area to study transportation-system level characteristics. Iteration between each of the three phases of the UAM analysis approach will be necessary to propagate lessons learned as our research progresses and as the UAM community coalesces on a more unified vision for UAM. Therefore, we anticipate that the mission requirements set forth in this paper will be modified over time as the urban air mobility concept matures.","url":"https://doi.org/10.4050/f-0074-2018-12671","authors":["Michael D. Patterson","Kevin Antcliff","Lee W. Kohlman"],"tags":["Computer science","Systems engineering","Aerospace engineering","Environmental science","Engineering"],"confidence":0.72,"sites":["low-altitude"],"publishedDate":"2018-05-14","doi":"https://doi.org/10.4050/f-0074-2018-12671","addedAt":"2026-08-31T14:45:35.251Z","updatedAt":"2026-08-31T14:45:35.251Z"},{"id":"oa:W4387410723","name":"Conceptual Design of Solid-State Li-Battery for Urban Air Mobility","source":"openalex","abstract":"The negative impact of internal combustion engines on the environment is a major concern in metropolitan areas due to the continued rapid growth and high overall level in the number of vehicles, population, and traffic congestion. Electric vertical take-off and landing (eVTOL) aircraft promises a new era for urban regional transportation and air mobility to address the challenges mentioned above. Nonetheless, providing electrical energy storage systems, like batteries, is one of the key issues with such aircraft. Here, the non-flammable technology of all-solid-state Li batteries with high theoretical gravimetric energy is an attractive option. Modelling allows for a knowledge-driven assessment of the potential of this technology. We here used a combination of a pseudo-2-dimensional cell model with a microstructure surrogate model approach to acquire a better understanding of the effect of the cathode microstructure on the internal process limitations. This model is incorporated into a global optimisation algorithm to predict optimum battery size with respect to the dynamic load demand of eVTOL. When carbon black and active materials are premixed, the battery performs better than when solid electrolyte and active materials are premixed, particularly for low amounts of carbon black in the cathode combination, i.e., 5%. Further, results indicate that future electrification of transportation powertrains would necessitate optimising the composition and distribution of electrode components to fulfil the high demands for power and energy density. By enhancing transport through the microstructure and improving the material’s intrinsic conductivity, it is possible to significantly increase the effective diffusivity and conductivity of ASSB, and hence the mission range.","url":"https://doi.org/10.1149/1945-7111/ad00de","authors":["Somayeh Toghyani","Walter Cistjakov","Florian Baakes","Ulrike Krewer"],"tags":["Battery (electricity)","Powertrain","Automotive engineering","Process engineering","Combustion"],"confidence":0.72,"sites":["low-altitude"],"publishedDate":"2023-10-01","doi":"https://doi.org/10.1149/1945-7111/ad00de","addedAt":"2026-08-31T14:45:35.251Z","updatedAt":"2026-08-31T14:45:35.251Z"},{"id":"oa:W4393353038","name":"Wind Tunnel Investigation of Transient Propeller Loads for Non-Axial Inflow Conditions","source":"openalex","abstract":"Recent developments in electrical Vertical Take-off and Landing (eVTOL) vehicles show the need for a better understanding of transient aero-mechanical propeller loads for non-axial inflow conditions. The variety of vehicle configurations conceptualized with different propellers in terms of blade geometry, number of blades, and their general integration concept results in aerodynamic loads on the propellers which are different from those on conventional fixed-wing aircraft propellers or helicopter rotors. Such varying aerodynamic loads have to be considered in the vehicle design as a whole and also in the detailed design of their respective electric propulsion systems. Therefore, an experimental approach is conducted on two different propeller blade geometries and a varying number of blades with the objective to explore the characteristics at non-axial inflow conditions. Experimental data are compared with calculated results of a low-fidelity Blade Element Momentum Theory (BEMT) approach. Average thrust and side force coefficients are shown to increase with inflow angle, and this trend is captured by the implemented numerical method. Measured thrust and in-plane forces are shown to oscillate at the blade passing frequency and its harmonics, with higher amplitudes at higher angles of inflow or lower number of blades.","url":"https://doi.org/10.3390/aerospace11040274","authors":["C.C. Moreira","Nikolai Herzog","Christian Breitsamter"],"tags":["Inflow","Propeller","Thrust","Aerodynamics","Advance ratio"],"confidence":0.72,"sites":["low-altitude"],"publishedDate":"2024-03-30","doi":"https://doi.org/10.3390/aerospace11040274","addedAt":"2026-08-31T14:45:35.251Z","updatedAt":"2026-08-31T14:45:35.251Z"},{"id":"oa:W4408984063","name":"The feasibility of electric air taxis: balancing time-savings and co2 emissions - a joint case study of respective plans in Paris","source":"openalex","abstract":"Abstract This paper presents a comprehensive evaluation of the sustainability of Advanced Air Mobility (AAM) within urban and regional mobility infrastructure, utilizing Paris as a prominent case study. Driven by ambitious environmental targets, Paris aims to transform its transportation landscape into a cleaner, safer ecosystem. Collaborating with public and private stakeholders, the region has positioned AAM as a promising facet of future mobility, highlighted by the world’s first scheduled commercial electric Vertical Take-Off and Landing (eVTOL) air taxi service during the 2024 Olympic Games. The study’s main goal is to assess the energy consumption and CO2 emissions of AAM aircraft across typical flight missions, encompassing urban and regional routes. A comparison is drawn between eVTOL performance and conventional modes, such as cars, public transport, and helicopters. However, it is important to note that only direct connections were considered for these time-savings, and boarding and de-boarding times as well as delays were not accounted for in the flight duration. On urban routes spanning 50 km, eVTOLs offer noteworthy time-savings of around 23 min compared to cars and 22 min compared to public transport. Moreover, concerning specific scenarios, eVTOLs demonstrate substantial time-savings for regional routes of 300 km—averaging 76 min compared to cars and 69 min compared to trains. Regarding CO2 emissions, a contrast emerges between urban and regional contexts. Urban eVTOL operations are relatively less eco-friendly due to higher energy consumption, than electric cars. While multicopters consume 47% less CO2 than traditional helicopters, they surpass petrol cars by 13%, diesel cars by 19%, and electric cars by up to 256%. In contrast, for regional travel, Lift-and-Cruise 1 eVTOLs consume 77% less CO2 than average helicopters, 46% less than petrol cars, and 44% less than diesel cars, but emit 68% more than electric vehicles and 96% more than electric trains. In summary, while eVTOLs offer significant time-savings and CO2 reductions on regional routes compared to traditional helicopters and fossil-fueled cars. However, it’s essential to note that the comparison on urban routes compared to battery-powered vehicles and electric trains in terms of CO2(eq) kg/person requires the eVTOL to produce higher emissions due to the higher energy requirement, which depends on the specific operating conditions. To harness AAM’s full potential for Paris’s sustainability goals, policymakers, manufacturers, and researchers should explore diverse configurations, account for real-world operations, and seamlessly integrate eVTOLs into the broader transportation framework. This approach can pave the way for less emission, and more efficient urban and regional transportation futures.","url":"https://doi.org/10.1007/s13272-025-00811-8","authors":["Nabil Hagag","Bastian Hoeveler"],"tags":["Taxis","Joint (building)","Engineering","Transport engineering","Aeronautics"],"confidence":0.72,"sites":["low-altitude"],"publishedDate":"2025-03-27","doi":"https://doi.org/10.1007/s13272-025-00811-8","addedAt":"2026-08-31T14:45:35.251Z","updatedAt":"2026-08-31T14:45:35.251Z"},{"id":"oa:W7199947316","name":"Flight control system for Miya eVTOL aircraft","source":"openalex","abstract":"Táto práca pojednáva o návrhu riadenia pre eVTOL MiYa spoločnosti VZLU Aerospace. Práca sa zameriava na návrh zjednodušeného matematického modelu lietadla pre visový režim, identifikácií parametrov EDF a následnom návrhu stavovej spätnej väzby pomocou LQR. Medzi regulované stavy patrí pozdĺžny sklon, vertikálna rýchlosť, výška a priečny náklon. Navrhnuté riadenie je testované v simuláciách na spomenutom modeli a následne aj na reálnom lietadle. Práca ďalej pojednáva o spracovávaní údajov z testov pri preklápaní krídla a hľadaní rovnovážnych stavov. Nakoniec je navrhnutý spôsob riadenia pozdĺžneho sklonu pomocou nastaviteľnej vodorovnej chvostovej plochy a výškového kormidla v letovom režime. Návrh modelu v letovom režime nie je súčasťou tejto práce, navrhnuté riadenie je však validované na poskytnutom modeli.","url":"https://openalex.org/W7199947316","authors":["Michal Mečiar"],"tags":["Control system","Computer science","Engineering","Physics","Control (management)"],"confidence":0.72,"sites":["low-altitude"],"publishedDate":"2025-05-23","doi":"","addedAt":"2026-08-31T14:45:35.251Z","updatedAt":"2026-08-31T14:45:35.251Z"},{"id":"oa:W4312481129","name":"Operational Requirements Analysis for Electric Vertical Takeoff and Landing Vehicle in the Brazilian Regulatory Framework","source":"openalex","abstract":"Air passenger transport is expected to change, in the next years, the urban air mobility (UAM) environment. New technologies are enabling the introduction of a new concept of aircraft, referred to as electric vertical takeoff and landing vehicle (eVTOL), with vertical take-off and landing capability, distributed electric propulsion system and low noise level compared to helicopters. This article presents an analysis of the Brazilian Civil Aviation Regulations (RBAC) No. 91 and 135, which address the minimum requirements for commercial operations of commuter and on-demand public passenger transport with airplanes with up to 19 seats. The objective of this article is to identify the technical and regulatory barriers to initiating the eVTOL operation in Brazil and to validate the current operational air traffic rules. After the analysis of the operational requirements and the current Air Traffic Management (ATM) infrastructure for helicopter operation, the minimum required and recommended navigation, communication and surveillance equipment are identified, as well as the main operational limitations for the operation of this type of aircraft in transporting passengers. This analysis is just the beginning of a broader study and there are many challenges to support an increased eVTOL operations.","url":"https://doi.org/10.1590/jatm.v14.1269","authors":["José Ricardo Agustinho","Carlos Alberto de Mattos Bento"],"tags":["Takeoff","Aviation","Transport engineering","Takeoff and landing","Runway"],"confidence":0.72,"sites":["low-altitude"],"publishedDate":"2022-01-01","doi":"https://doi.org/10.1590/jatm.v14.1269","addedAt":"2026-08-31T14:45:35.251Z","updatedAt":"2026-08-31T14:45:35.251Z"},{"id":"oa:W4402672463","name":"Dynamic Behavior and Passive Vibration Control of an EVTOL Support Arm System with Bracing Struts and Tailored Particle Impact Dampers","source":"openalex","abstract":"Electric Vertical Takeoff Landing (eVTOL) aircraft feature heavy electric motors, battery packs, and rigid fixed-pitch rotors supported on flexible arms. Under substantial time-varying aerodynamic loads associated with variable rotor speeds and, with low intrinsic damping, such lightweight arms respond in bending and torsion at relatively high levels. In this paper, two methods of reducing vibration response in the operating frequency range are explored, one based on damping, the other on stiffness. A tailored particle impact damper system was evaluated experimentally to address near-periodic vibration over a range of frequencies. A forced torsional response test showed consistent 50% vibration reduction, with a 5% mass penalty. To stiffen the system, a cross-braced strut approach linked two arms such that the natural frequencies of their torsion modes would be increased beyond the rotor operating frequency range. A finite element model was developed and validated for a representative eVTOL configuration. Validation was conducted using a scale model aluminum beam set. The addition of a cross-braced strut efficiently stiffened the system, increasing its natural frequency by almost 120%, thus greatly reducing resonant torsional vibration within the operating range. Both approaches to vibration reduction for variable-speed eVTOL aircraft merit continued consideration and research.","url":"https://doi.org/10.4050/f-0080-2024-1361","authors":["Siddhant Sandeep Bapat","Richard Auhl","Nicholas Vlajic","George Lesieutre","Edward Smith","Siddharth Poreddy"],"tags":["Bracing","Damper","Vibration","Vibration control","Structural engineering"],"confidence":0.72,"sites":["low-altitude"],"publishedDate":"2024-05-07","doi":"https://doi.org/10.4050/f-0080-2024-1361","addedAt":"2026-08-31T14:45:35.251Z","updatedAt":"2026-08-31T14:45:35.251Z"},{"id":"oa:W4315491952","name":"Design and Qualification of an Additively Manufactured Manifold for Aircraft Landing Gears Applications","source":"openalex","abstract":"The continuous pursuit of reducing weight and optimizing manufacturing processes is increasingly demanded in transportation vehicles, particularly in the aerospace field. In this context, additive manufacturing (AM) represents a well-known technique suitable for re-engineering traditional systems, minimizing the product’s weight/volume and print time. The present research activity allowed for the exploration of the feasibility to replicate a conventional hydraulic manifold already certified for defence application with a lightweight and more compact issue through typical stringent aeronautical qualification steps. Computational modelling with lab test efforts made it possible to assess the compliance of the device with airworthiness certification requirements, giving a special focus to the fulfilment of structural requirements. In particular, the fatigue life characterization is still a crucial point to be well investigated in aeronautical components dfAM (designed for additive manufacturing) to demonstrate the maturity of the technology in the certification scenario. The new AM-driven design offers a more than 40 per cent weight reduction.","url":"https://doi.org/10.3390/aerospace10010069","authors":["Maurizio Arena","Paolo Ambrogiani","Vincenzo Raiola","Francesco Bocchetto","Tommaso Tirelli","Martina Castaldo"],"tags":["Airworthiness","Aerospace","Context (archaeology)","Certification","Manufacturing engineering"],"confidence":0.72,"sites":["low-altitude"],"publishedDate":"2023-01-10","doi":"https://doi.org/10.3390/aerospace10010069","addedAt":"2026-08-31T14:45:35.251Z","updatedAt":"2026-08-31T14:45:35.251Z"},{"id":"oa:W4407881503","name":"Development of Double Airgap PMSM for Improvement of Performance and Safety of eVTOL","source":"openalex","abstract":"","url":"https://doi.org/10.1007/s42835-025-02183-9","authors":["Yong‐Ho Yoon","Sung‐In Jeong"],"tags":["Automotive engineering","Computer science","Engineering"],"confidence":0.72,"sites":["low-altitude"],"publishedDate":"2025-02-24","doi":"https://doi.org/10.1007/s42835-025-02183-9","addedAt":"2026-08-31T14:45:35.251Z","updatedAt":"2026-08-31T14:45:35.251Z"},{"id":"oa:W4296492630","name":"On the prediction of noise generated by urban air mobility (UAM) vehicles. II. Implementation of the Farassat F1A formulation into a modern surface-vorticity panel solver","source":"openalex","abstract":"This study focuses on the integration of established acoustic prediction techniques directly into a surface-vorticity solver. The main objective is to enhance an aircraft designer's ability to characterize the acoustic signatures generated by urban air mobility (UAM) vehicles, in general, and distributed electric propulsion (DEP) concepts, in particular, including unmanned aerial vehicles. Our solver consists of a reliable, surface-vorticity panel code that incorporates viscous boundary-layer corrections. Thus, it offers a computationally efficient commercial tool for conceptual design and preliminary aerodynamic analysis. By implementing the Farassat F1A acoustics formulation directly into the solver, a new intuitive capability is achieved, which is both conversive with modern engineering tools and efficient in setup and speed of execution. In addition to its application to the X-57 high-lift propeller and the Revolutionary Vertical Lift Technology Tiltwing electric Vertical Take-Off and Landing (eVTOL) vehicle by the National Aeronautics and Space Administration, this capability is systematically demonstrated using three particular case studies. These consist of both single- and six-propeller Joby S4 eVTOL as well as a small eight-propeller Kittyhawk KH-H1 DEP vehicle. Although the details of this tool and underlying equations are showcased in this article, the acoustic metrics that can be effectively used to characterize the noise level generated by a UAM in flight are described in a companion article. By embedding this assortment of insightful metrics into a simple and user-friendly flow solver, a much improved flow-acoustic analysis capability is thereby provided to support the design of future aircraft.","url":"https://doi.org/10.1063/5.0105002","authors":["Vivek Ahuja","Daniel S. Little","Joseph Majdalani","Roy Hartfield"],"tags":["Solver","Aerodynamics","Vorticity","Lift (data mining)","Computational fluid dynamics"],"confidence":0.72,"sites":["low-altitude"],"publishedDate":"2022-09-21","doi":"https://doi.org/10.1063/5.0105002","addedAt":"2026-08-31T14:45:35.251Z","updatedAt":"2026-08-31T14:45:35.251Z"},{"id":"oa:W3183760008","name":"Adaptive model predictive control of a six-rotor electric vertical take-off and landing urban air mobility aircraft subject to motor failure during hovering","source":"openalex","abstract":"In this article, motor failure control of a six-rotor electric vertical take-off and landing (eVTOL) urban air mobility aircraft is investigated using adaptive model predictive control (MPC) based on the linear parameter-varying (LPV) model developed using the nonlinear rigid-body aircraft model. For capturing the aircraft dynamics under motor failure conditions, a family of linearized models are obtained by trimming the nonlinear aircraft model at multiple equilibrium conditions and the LPV model is obtained by linking the linear models using the failed rotor speed, where the system transition from healthy to failure is modeled by a scheduling parameter calculated based on failed rotor speed caused by available motor peak power after failure. The proposed adaptive MPC is developed to optimize the system output performance, including the rigid-body aircraft velocity and altitude, by using quadratic programming optimization with reference compensation subject to a set of time-varying constraints representing the current available propeller acceleration calculated based on the motor power. Simulation study is conducted based on the developed LPV control design and original nonlinear rigid-body model, and the simulation results demonstrate that the designed adaptive MPC controller is able to recover and maintain the aircraft at desired stable condition after motor failure.","url":"https://doi.org/10.1177/09544100211032434","authors":["Shen Qu","Guoming Zhu","Weihua Su","Sean Shan‐Min Swei","Mariko Hashimoto","Tao Zeng"],"tags":["Control theory (sociology)","Nonlinear system","Rotor (electric)","Controller (irrigation)","Engineering"],"confidence":0.72,"sites":["low-altitude"],"publishedDate":"2021-07-16","doi":"https://doi.org/10.1177/09544100211032434","addedAt":"2026-08-31T14:45:35.251Z","updatedAt":"2026-08-31T14:45:35.251Z"},{"id":"oa:W3192352814","name":"Toward inclusion of atmospheric effects in the aircraft community noise predictions","source":"openalex","abstract":"This paper presents an atmospheric propagation model, based on ray acoustics, that accounts for realistic weather conditions in the evaluation of the noise footprint of an aircraft. Noise sources, obtained using the Ffowcs Williams and Hawkings acoustic analogy applied to scale-resolved flow simulation data, are stored on a hemisphere surrounding the vehicle. These noise sources are propagated using a propagation model that takes into account the vertical variability of air temperature and wind velocity. The electric vertical takeoff and landing aircraft, presented by Casalino, van der Velden, and Romani [(2019). in Proceedings of the AIAA Scitech 2019 Forum, January 7-11, San Diego, CA, pp. 1834-1851], is used as a case study; noise footprints, obtained considering various vertically varying temperature and wind velocity distributions, are compared. It is shown that weather conditions in the acoustic wave propagation can contribute to mismatch up to 4 dBA in the illuminated zone and a significant drop in the refractive shadow zone caused by the vertical air temperature and wind velocity gradients. This work constitutes the first accomplishment in including realistic atmospheric effects in aircraft community noise prediction based on scale-resolved flow simulations.","url":"https://doi.org/10.1121/10.0005733","authors":["Furkat Yunus","Damiano Casalino","Francesco Avallone","Daniele Ragni"],"tags":["Takeoff","Noise (video)","Wind speed","Environmental science","Meteorology"],"confidence":0.72,"sites":["low-altitude"],"publishedDate":"2021-08-01","doi":"https://doi.org/10.1121/10.0005733","addedAt":"2026-08-31T14:45:35.251Z","updatedAt":"2026-08-31T14:45:35.251Z"},{"id":"oa:W7160975803","name":"Rookies to Aces: Investigating the Intuitiveness of Pilot Interaction for Operating eVTOL Aircraft","source":"openalex","abstract":"Electric Vertical Take-Off and Landing (eVTOL) aircraft introduce unique movement dimensions beyond traditional fixed-wing and rotor-wing aircraft, requiring novel control interfaces for pilot operation. This study examines the compatibility of gesture-based control movements across participants with varying flight experience levels. This study included a total of 60 participants across four groups; novices (no real or virtual flight experience, n=30), flight simulator gamers (n=10), fixed-wing pilots (n=10), and rotor-wing pilots (n=10). Participants viewed eighteen simulated first-person eVTOL aircraft movements (e.g. pitch, roll, yaw, heave, translations) assessing their intuitive gesture inputs for the different aircraft motions. Additionally, they were asked to sketch their envisioned cockpit control layouts. Participants were not told the type of aircraft the videos simulated. Their gestures and verbal explanations were recorded for analysis. Two independent raters categorized similar gestures the participants performed based on the body part moved (e.g. hand, foot), direction of movement (forward, backward, left, right), and the type of movement (tilt, twist, pull, push) for each aircraft movement. Inter-rater reliability (Cohen’s kappa) for rater groupings were high and indicated substantial agreement between the raters. Dominant gesture movements for each participant group were identified across the 18 aircraft maneuvers using rater groupings. Results indicate that prior flight experience influences gesture compatibility. Rotor-wing pilots, fixed-wing pilots, and flight simulator gamers performed gesture motions similar to their experience and knowledge, while novices drew inspiration from driving cars and piloting they’ve seen through movies and tv-shows (e.g. Top Gun). The imagined sketched concepts varied between rotor-wing centric (cyclic, collective, pedals), fixed-wing centric (yoke, throttle, pedals), and hybrid control schemes blending conventional and novel inputs. The findings of this study highlight considerations needed to tailor eVTOL pilot controls depending on the target pilot population and movement compatibility considerations.","url":"https://openalex.org/W7160975803","authors":["Shivani J. Patel"],"tags":["Gesture","Cockpit","Flight simulator","Human–computer interaction","Simulation"],"confidence":0.72,"sites":["low-altitude"],"publishedDate":"2025-04-01","doi":"","addedAt":"2026-08-31T14:45:35.251Z","updatedAt":"2026-08-31T14:45:35.251Z"},{"id":"oa:W4409497208","name":"Advanced Air Mobility(AAM)and emergency services: The Association of Southeast Asian Nations(ASEAN)Case study","source":"openalex","abstract":"","url":"https://doi.org/10.1016/j.jairtraman.2025.102787","authors":["Dimitrios Ziakkas","Hans C. Natakusuma"],"tags":["Southeast asia","Association (psychology)","Political science","Business","Geography"],"confidence":0.72,"sites":["low-altitude"],"publishedDate":"2025-04-16","doi":"https://doi.org/10.1016/j.jairtraman.2025.102787","addedAt":"2026-08-31T14:45:35.251Z","updatedAt":"2026-08-31T14:45:35.251Z"},{"id":"oa:W7130349660","name":"On the aerodynamics of an electric vertical take-off and landing aircraft using lattice Boltzmann method","source":"openalex","abstract":"This study investigates the static stability and flow field of a cruising Electric Vertical Take-off and Landing (eVTOL) aircraft with a compound-wing configuration using Lattice Boltzmann Method (LBM). Numerical accuracy of Finite Volume Method (FVM) and LBM is validated and comparatively analyzed based on isolated-rotor simulations. The LBM-based simulations are 8–9 times faster than those based on FVM for weakly compressible flows, which exhibits a significant advantage in computational efficiency and cost. The maximum error of thrust is ∼ 11% for LBM-based simulations and that of torque is ∼ 7%, which is similar to that of FVM. Unsteady simulations based on LBM are conducted for the whole eVTOL aircraft, and flow field structures and static stability are further analyzed. The results reveal that four varieties of vortical structures dominate the flow field, including wingtip and root vortices, vortices generated by static lift rotors, and vortices originating from the counter-rotating tail-propeller pair, varying with angle of attack and angle of sideslip. Their developing mechanisms and mutual interactions are examined in detail. The aircraft is unstable in terms of longitudinal and directional static stabilities, while it is stable in lateral, enhanced by wingtip vortices. Moreover, tail-mounted propulsion places higher demands on thrust propellers. In addition, vortices generating at the leading edges of the upper lift rotors delay separation on the wing upper surface but imposes negative effects on both longitudinal and lateral stability. The high computational efficiency, accurate flow prediction, and realizable aerodynamic forces demonstrated by LBM provide engineering insight for future aerodynamic performance analysis and development of eVTOL aircraft.","url":"https://doi.org/10.1063/5.0314603","authors":["Reng Mo","Quan Zhou","Qing Jia","C. C. Xia","Huanxia Wei","Zhigang Yang"],"tags":["Physics","Vortex","Longitudinal static stability","Thrust","Aerodynamics"],"confidence":0.72,"sites":["low-altitude"],"publishedDate":"2026-02-01","doi":"https://doi.org/10.1063/5.0314603","addedAt":"2026-08-31T14:45:35.251Z","updatedAt":"2026-08-31T14:45:35.251Z"},{"id":"oa:W4413825434","name":"Multi-Fidelity Aerodynamic Optimization of the Wing Extension of a Tiltrotor Aircraft","source":"openalex","abstract":"Given the fast-evolving context of electrical vertical takeoff and landing vehicles (eVTOL) based on the concept of tiltrotor aircraft, this work describes a framework aimed at the preliminary aerodynamic design and optimization of innovative lifting surfaces of such rotorcraft vehicles. In particular, a multiobjective optimization process was applied to the design of a wing extension representing an innovative feature recently investigated to improve the aerodynamic performance of a tiltrotor aircraft wing. The wing/proprotor configurations, selected using a Design Of Experiment (DOE) approach, were simulated by the mid-fidelity aerodynamic code DUST, which used a vortex-particle method (VPM) approach to model the wing/rotor wakes. A linear regression model accounting for nonlinear interactions was used by an evolutionary algorithm within a multiobjective optimization framework, which provided a set of Pareto-optimal solutions for the wing extension, maximizing both wing and rotor efficiency. Moreover, the present work highlighted how the use of a fast and reliable numerical modeling for aerodynamics, such as the VPM approach, enhanced the capabilities of an optimization framework aimed at achieving a more accurate preliminary design of innovative features for rotorcraft configurations while taking into account the effects of the aerodynamic interaction between wings and proprotors.","url":"https://doi.org/10.3390/app15179491","authors":["Alberto Savino"],"tags":["Wing","Aerospace engineering","Aerodynamics","Aeronautics","Engineering"],"confidence":0.72,"sites":["low-altitude"],"publishedDate":"2025-08-29","doi":"https://doi.org/10.3390/app15179491","addedAt":"2026-08-31T14:45:35.251Z","updatedAt":"2026-08-31T14:45:35.251Z"},{"id":"oa:W3166579377","name":"Experimental-Numerical Investigation of Rotor-Rotor Aerodynamic Interactions for eVTOL Aircraft Configurations","source":"openalex","abstract":"The paper presents the description of a research activity aimed to the systematic study of the rotor-rotor aerodynamic interaction with application to the flight conditions typical of eVTOL aircraft. The activity considers a dual effort, experimental and numerical, to gather systematic parametric data on different types of rotor-rotor interactions. In particular, the paper describes the planning and set up of a wind tunnel campaign aimed to evaluate the effects of the aerodynamic interactions on the rotor performance and flow field for two propeller models both in side-by-side and tandem configuration. Moreover, the results of numerical simulations performed with a mid-fidelity aerodynamic code on both the planned test configurations are presented showing the main effects of the aerodynamic interactions on the performance of the propeller.","url":"https://openalex.org/W3166579377","authors":["R. Piccinini","Matteo Tugnoli","Alex Zanotti"],"tags":["Aerodynamics","Rotor (electric)","Aerospace engineering","Helicopter rotor","Computer science"],"confidence":0.72,"sites":["low-altitude"],"publishedDate":"2020-01-01","doi":"","addedAt":"2026-08-31T14:45:35.251Z","updatedAt":"2026-08-31T14:45:35.251Z"},{"id":"oa:W4407168272","name":"Review of Cryogenic Power Electronics for All-Electric Aircraft","source":"openalex","abstract":"To tackle emissions from the aviation industry and make it sustainable, research has been targeting electrifying aircraft. For this aim, articles have been focusing on how to replace regular jet engines with liquid hydrogen as fuel. This would be beneficial as hydrogen is expected to play a dual role, providing fuel for fuel cells to propel the aircraft electrically and to supply cooling to enable high-power density technologies such as superconducting machines and cryogenic power electronics circuits. However, using higher power density, especially cryogenic power electronics, can be challenging. This article investigates cryogenic power electronics for use on all-electric aircraft across different aspects, where it lays out how to integrate power electronics at cryogenic temperature into the architecture of the all-electric aircraft, how to use them with hydrogen fuel cells, and the voltage levels of the system. It reviews different semiconductor device technologies, circuit topologies, and passive devices to be used in power electronics circuitry, as well as logic circuits that are suitable for use at cryogenic temperatures. In addition, the article discusses the challenges of using semiconductor devices at such low temperatures, including the reliability, overall cooling, and recycling of hydrogen.","url":"https://doi.org/10.1109/access.2025.3539572","authors":["Abdelrahman Elwakeel","Yuchuan Liao","Yudi Xiao","Rafael Peña‐Alzola","Min Zhang","Weijia Yuan"],"tags":["Power electronics","Electronics","Electrical engineering","Electric power","Aerospace engineering"],"confidence":0.72,"sites":["low-altitude"],"publishedDate":"2025-01-01","doi":"https://doi.org/10.1109/access.2025.3539572","addedAt":"2026-08-31T14:45:35.251Z","updatedAt":"2026-08-31T14:45:35.251Z"},{"id":"oa:W7139064551","name":"Energy-Optimal Traversal Between Hover Waypoints for Lift+Cruise Electric-Powered Aircraft","source":"openalex","abstract":"Advanced air mobility aircraft require energy-efficient flight plans to be economically viable. This paper defines minimum-energy direct trajectories between waypoints for [Formula: see text] electric vertical takeoff and landing (eVTOL) aircraft. Energy consumption is optimized over accelerated and cruise flight profiles with consideration of mode transitions. Because eVTOL operations start and end in hover for vertical takeoff and landing, hover waypoints are utilized. Energy consumption is modeled as a function of airspeed for each flight mode, providing the basis to prove energy optimality for multimode traversal. Wind magnitude and direction dictate the feasibility of straight-line traversal because [Formula: see text] aircraft point into the relative wind direction but also have a maximum heading-rate constraint due to finite yaw control authority. Energy and power use for an experimentally validated QuadPlane small eVTOL aircraft are characterized with respect to airspeed and acceleration in all flight modes. Optimal QuadPlane traversals are presented. Constraints on acceleration and wind are derived for straight-line QuadPlane traversal. Results show an optimal QuadPlane 500 m traversal between hover waypoints saves 71% energy compared to pure vertical flight traversal for a representative case study with a direct [Formula: see text] crosswind. Energy-optimal eVTOL direct trajectory definition with transitions to and from hover is novel to this work. Future work should model flight in three-dimensional wind and optimize maneuver primitives when required.","url":"https://doi.org/10.2514/1.g008907","authors":["Akshay Mathur","Ella Atkins"],"tags":["Airspeed","Tree traversal","Takeoff","Computer science","Takeoff and landing"],"confidence":0.72,"sites":["low-altitude"],"publishedDate":"2026-03-18","doi":"https://doi.org/10.2514/1.g008907","addedAt":"2026-08-31T14:45:35.251Z","updatedAt":"2026-08-31T14:45:35.251Z"},{"id":"oa:W4415883064","name":"Winding Configuration of REBCO Fully Superconducting Linear Synchronous Motor of Launch System for eVTOL","source":"openalex","abstract":"A new launch system, designed to enhance the flight range and payload of an electric vertical takeoff and landing (eVTOL) aircraft, used a REBa2Cu3Oy(Rare-Earth Barium Copper Oxide, REBCO) fully superconducting linear synchronous motor for lightweight and compact design. Magnetic fields generated by the air-core windings in the motor may include significant harmonic components leading thrust ripple and AC loss. Pulse-width modulation (PWM)-based winding-configuration optimization was investigated to reduce these harmonics. Motor performance was calculated using finite element method-based electromagnetic analysis. The PWM-based winding optimization was found to reduce the magnetic-field harmonics generated by the windings. Stator- and mover-winding optimization was effective in thrust-ripple reduction. Though the AC loss in the stator windings could not be reduced, that in the mover windings was effectively reduced by stator-winding optimization.","url":"https://doi.org/10.1109/tasc.2025.3628593","authors":["Hiromasa Sasa","Takashi Yoshida","M. Iwakuma"],"tags":["Electromagnetic coil","Harmonics","Stator","Linear motor","Thrust"],"confidence":0.72,"sites":["low-altitude"],"publishedDate":"2025-11-04","doi":"https://doi.org/10.1109/tasc.2025.3628593","addedAt":"2026-08-31T14:45:35.251Z","updatedAt":"2026-08-31T14:45:35.251Z"},{"id":"oa:W4409142416","name":"Introducing large-scale multiphysics topology optimization for electric aircraft battery pack design","source":"openalex","abstract":"","url":"https://doi.org/10.1016/j.compstruc.2025.107748","authors":["Alexandre T. Guibert","Murtaza Bookwala","Matteo Pozzi","Hyunsun A. Kim"],"tags":["Multiphysics","Topology optimization","Battery pack","Battery (electricity)","Topology (electrical circuits)"],"confidence":0.72,"sites":["low-altitude"],"publishedDate":"2025-04-03","doi":"https://doi.org/10.1016/j.compstruc.2025.107748","addedAt":"2026-08-31T14:45:35.251Z","updatedAt":"2026-08-31T14:45:35.251Z"},{"id":"oa:W2953952410","name":"Dynamics modeling and control design for a winged eVTOL aircraft","source":"openalex","abstract":"VTOL vehicles are of great interest at the moment for urban air mobility because of their versatility. These vehicles have the ability to take-off and land without the necessity of a long runway, being compared to helicopters. However, their appeal is based on the fact that are considered a breakthrough over helicopters due to their efficiency in cruise flight, comparable to fixed wing aircrafts. For these reasons, VTOL vehicles reduce the expenses in complex facilities and improve performances from an efficiency point of view. Within this new technology field, NEOPTERA Ltd presents itself as one of the companies seeking to develop a civil VTOL vehicle for urban air mobility: the eOpter. NEOPTERA is currently developing different prototypes of the eOpter, one of which was selected for this project. The main objective of the project is the development of a flight simulator and a flight controller for the mentioned prototype, a 60cm wingspan version of the eOpter. The innovative VTOL concept presented by NEOPTERA is a two wings tandem configuration with four electric motors on each wing providing energy to a propeller each. A VTOL vehicle flight can be divided into three modes. A vertical take-off and landing, a transition to cruise flight, and the cruise flight itself. The motivation behind this study is to have proper control laws capable of stabilizing the aircraft dynamics during the three flight operating modes. A remarkable aspect of the project developed is treating the entire flight envelope as a continuous flight path, avoiding discontinuity issues when passing from one flight phase to another. In order to design the flight control laws for the prototype, it is necessary to design certain mathematical models describing the dynamics of the aircraft and its behaviour during each flight mode. This study goes through the development of these mathematical models, their simulation, a stability analysis of the model created and the design of appropriate stabilizing control laws. The obtained simulation model is validated by simulating the vehicle flight and observing the physical behaviour. The control laws developed allow to stabilize the vehicle while enhancing the flight performances and an integrator controller is implemented for reference tracking purposes, being its robustness tested on the linear models of the aircraft. The results obtained shows a very reliable simulator for longitudinal flight, while for lateral-directional flight further analysis need to be done. A full mission for longitudinal flight was simulated and the results obtained are very promising. The prototype is currently undergoing some flight tests. It is expected to obtain information from these tests that will help to improve the control system of the vehicle by observing its behaviour in real flight. Further steps will include implementing the gain scheduling method in the non linear simulator, in order to achieve stability for the entire flight envelope and test the obtained tuned controller on the physical prototype without going through additional tuning campaigns.","url":"https://openalex.org/W2953952410","authors":["Lema Esposto","María Florencia"],"tags":["Cruise","Wingspan","Flight envelope","Aircraft flight mechanics","Propulsion"],"confidence":0.72,"sites":["low-altitude"],"publishedDate":"2019-03-27","doi":"","addedAt":"2026-08-31T14:45:35.251Z","updatedAt":"2026-08-31T14:45:35.251Z"},{"id":"oa:W4386075416","name":"Aircraft Controllability Through High-Lift Propellers","source":"openalex","abstract":"The current era of electrification of the aerospace industry brings many challenges, but also brings forward radically new aircraft designs. The new eVTOL and eSTOL concepts were enabled by the distributed electric propulsion. Even though eVTOL and eSTOL projects are gaining a lot of attention, another concept is also notable. The so-called High-Lift propulsion is based on the increase of airflow over the wing, thus reducing landing speed. Most notable example is NASA’s X-57 Maxwell. However, this concept can be used to control the aircraft as well. This paper introduces new approach of aircraft control using distributed High-Lift propulsion concept. The controller uses differential thrust to completely control the aircraft states and therefore eliminates the need for traditional control surfaces.","url":"https://doi.org/10.1109/pc58330.2023.10217691","authors":["Belák Jan","Beňo Dominik","Hromčík Martin"],"tags":["Propulsion","Controllability","Aerospace","Thrust","Lift (data mining)"],"confidence":0.72,"sites":["low-altitude"],"publishedDate":"2023-06-06","doi":"https://doi.org/10.1109/pc58330.2023.10217691","addedAt":"2026-08-31T14:45:35.251Z","updatedAt":"2026-08-31T14:45:35.251Z"},{"id":"oa:W4288780051","name":"Trim Envelope Calculations for a Tiltrotor in Forward Flight, Hover and Transitions","source":"openalex","abstract":"Urban Air Mobility (UAM) is a future mode of transportation that will require revolutionary new electronic vertical takeoff and landing (eVTOL) vehicle concepts and operations. One of the challenges for these eVTOL vehicles will be the complexity of the flight control task which requires operation in hover, forward flight and the transition between the two. The trim envelope is an important piece of information for analyzing which airspeeds and either flight path angles or vertical speeds are safely achievable in each flight regime. The largest share of the vehicle concept designs for UAM are some kind of vectored thrust vehicle, highlighting the importance of analyzing these flight regime transitions. This papercalculates and compares the trim envelopes for a generic tiltrotor aircraft model for different rotor tilt angles. Preliminary results confirm a narrow transition corridor that is a well-known characteristic of tiltrotor aircraft","url":"https://doi.org/10.1016/j.ifacol.2022.07.195","authors":["Thomas Lombaerts","Kimberlee H. Shish","John Kaneshige"],"tags":["Trim","Takeoff","Flight envelope","Thrust","Aerospace engineering"],"confidence":0.72,"sites":["low-altitude"],"publishedDate":"2022-01-01","doi":"https://doi.org/10.1016/j.ifacol.2022.07.195","addedAt":"2026-08-31T14:45:35.251Z","updatedAt":"2026-08-31T14:45:35.251Z"},{"id":"oa:W2991493389","name":"GIS-based Infrastructure Requirement Analysis for an Electric Vertical Take-off and Landing Vehicle-based Transportation System","source":"openalex","abstract":"The number of inhabitants in cities have been increasing and the settlements are growing dispersedly in many regions worldwide. Helped by the invention of cheap, carbon-intensive transport modes, people tend to live in the periphery area, within manageable distance to the city centers. The term “rush hour” embodies commuting culture between low density peripheral areas and high-density city centers. The accessibility from the city center and other important destinations, such as airport, entertainment facilities, and higher education facilities, reduce as the distance between the most outer peripheries settlements to the city center and other important destinations escalate and therefore adding travel time. As everyone has their own limitation of travel budget, in terms of travel cost and travel time, the growing size of cities and their peripheries appear as a problem for its inhabitants. On the other side, to cope with an increase in travel time, researchers, engineers, and scientists are putting efforts to establish new concepts of commuting and travelling. Despite the increasing travel choices as a result from urban policies that favor to urbanization and agglomeration, traffic congestion still increased. Over the past 50 years, traffic congestion has increased significantly within metropolitan areas (Mondschein and Taylor, 2017). Even if the city wants to expand existing networks, they would have to invest an immense amount of taxpayers’ money. The burgeoning advancement of aviation technologies makes the aviation manufacturers able to build rapid, less noisy, and more environmentally-friendly Vertical Take-off and Landing (VTOL) vehicle. From major aviation manufacturers to slim-structured new start-ups are now competing on this new futuristic urban transport mode (Vascik and Hansman, 2017). Uber, as a major On-Demand Mobility (ODM) provider worldwide, also nurtures the progress of this transport mode as it released its Uber Elevate white paper and held an international summit about the future of Urban Air Mobility (UAM) topic. Operating the futuristic VTOL vehicle in an ODM concept makes the conceptual UAM costs similar to surface ODM service for the same travelled kilometers, yet might provide faster travel time (Uber Elevate, 2016). Although it looks promising, the conceptual urban air transport mode, the so called ODM Aviation, is not deliberately developed and designed to reduce traffic congestion and loosen up cramped public transport, but rather to provide high accessibility for broaden settlement inhabitants within metropolitan area, as well as providing better mobility service for disable people. Not only aircraft manufacturers but also startups, technology companies, and car manufacturers are contesting in VTOL development race. Since most of them are coming with their own concepts and ideas of what a VTOL will be manufactured, this thesis will only be considering particular VTOL vehicle type called electric Vertical Take-Off and Landing (eVTOL) vehicle. The development of eVTOL vehicle began when drone invented. The way drone take-off and landing reflected the potential to develop aerial vehicle further. Alike drone, the usage of distributed electric propulsion in eVTOL vehicle brings a lot of advantages, for instance reduced energy cost and reduced maintenance hours (Duffy, Wakayama and Hupp, 2017). Regarding community acceptance, which noise annoyance plays an important role, eVTOL, such as CityAirbus (Airbus, 2017), Volocopter (e-volo GmbH, 2017) and Lilium Jet (Lilium, 2017), claimed emitting low acoustic footprint.","url":"https://doi.org/10.1016/j.trpro.2019.09.020","authors":["Dimas Nu’man Fadhil","Rolf Moeckel","Raoul Rothfeld"],"tags":["Transport engineering","Electric vehicle","Geographic information system","Computer science","Engineering"],"confidence":0.72,"sites":["low-altitude"],"publishedDate":"2019-01-01","doi":"https://doi.org/10.1016/j.trpro.2019.09.020","addedAt":"2026-08-31T14:45:35.251Z","updatedAt":"2026-08-31T14:45:35.251Z"},{"id":"oa:W7162006538","name":"Design, Development, and Subscale Flight Testing of an Emergency Response eVTOL Aircraft","source":"openalex","abstract":"This paper presents the design, development, and subscale flight testing of an optionally-autonomous lift-plus-cruise (LPC) eVTOL aircraft for emergency response missions that bridges the gap between existing aerial capabilities and the needs of first responders. A 4+1 LPC configuration consisting of four vertical lift propellers and a single pusher propeller was selected to balance hover performance and cruise efficiency. The vehicle is sized around a 600 lbs gross takeoff weight with a 125 lbs payload capacity. VTOL and Pusher propeller blades were optimized using parametric studies, resulting in a high Figure of Merit and propulsive efficiency. Trim analysis demonstrates efficient hover to cruise transition, lift-to-drag ratios of 10-11 between 70-90 knots, and propulsive efficiency exceeding 0.9 at the cruise speed of 100 knots. The subscale configuration utilized a simulation framework for trim and optimization of flight control laws, which were subsequently implemented on a 1/3-scale subscale demonstrator. Subscale flight tests showed stable hover and robust trajectory tracking under wind disturbances throughout the flight envelope, which demonstrates the feasibility of the proposed LPC architecture.","url":"https://doi.org/10.4050/tm-2026-vlada-5186","authors":["R.I. Sarker","Anup Pudasaini","Pratribha Bhandari","Zach Atkinson","Anthony Comer","Nabia Fardin","Pedram Dabaghian","Atanu Halder"],"tags":["Cruise","Trim","Payload (computing)","Takeoff and landing","Aeronautics"],"confidence":0.72,"sites":["low-altitude"],"publishedDate":"2026-01-27","doi":"https://doi.org/10.4050/tm-2026-vlada-5186","addedAt":"2026-08-31T14:45:35.251Z","updatedAt":"2026-08-31T14:45:35.251Z"},{"id":"oa:W4385990011","name":"Joby Completes Submission of Stage Three Certification Plans to the FAA","source":"openalex","abstract":"On July 06, 2023, Joby Aviation, Inc., a company developing electric vertical take-off and landing (eVTOL) aircraft for commercial passenger service, announced it had submitted all of its Certification Plans to the Federal Aviation Administration (“FAA”), marking further progress toward completing the third of five stages required to certify its aircraft for commercial use.","url":"https://doi.org/10.12968/s0306-3747(23)70143-7","authors":[],"tags":["Certification","Aviation","Aeronautics","Service (business)","Business"],"confidence":0.72,"sites":["low-altitude"],"publishedDate":"2023-07-01","doi":"https://doi.org/10.12968/s0306-3747(23)70143-7","addedAt":"2026-08-31T14:45:35.251Z","updatedAt":"2026-08-31T14:45:35.251Z"},{"id":"oa:W4416066181","name":"Demand Assessment and Integration Feasibility Analysis for Advanced and Urban Air Mobility in Illinois","source":"openalex","abstract":"Advanced and Urban Air Mobility (AAM and UAM) represent emerging transportation concepts that involve the use of novel aircraft technologies to transport passengers and cargo within urban, regional, and intra-regional environments. These systems may include Electric Vertical Take-off and Landing (eVTOL) aircraft, Short Take-off and Landing (STOL) aircraft, and unmanned aerial vehicles (UAVs), which are being considered for a range of applications including passenger transport, cargo delivery, and other specialized operations. This study introduced a state-specific analytical framework that integrates different methodologies and data to enable a more precise evaluation of AAM viability in the State of Illinois, compared to generic national or global assessments, capturing the state’s unique mobility patterns, infrastructure constraints, and demographic distributions. One of the main goals is to provide a comprehensive evaluation of the potential implications—both challenges and opportunities—associated with AAM and UAM operations. The analysis examines potential impacts on mobility, infrastructure, economic development, and public services, with particular emphasis on identifying key considerations for policy development. The research framework categorizes use cases into two broad types: AAM for the transportation of people and cargo, and AAM for functional applications such as emergency response, agriculture, and infrastructure monitoring. The study provides a detailed quantitative assessment of passenger air taxi services, including demand estimation, business model feasibility analysis, integration effects on existing transportation systems, and infrastructure requirements. For other AAM applications, the analysis identifies operational considerations, regulatory implications, and potential barriers to implementation, establishing a foundation for future detailed evaluation.","url":"https://doi.org/10.3390/app152211901","authors":["Vasileios Volakakis","Christopher Cummings","Laurence Audenaerd","William M. Viste","Hani S. Mahmassani"],"tags":["Transport engineering","Key (lock)","Computer science","Range (aeronautics)","Air transport"],"confidence":0.72,"sites":["low-altitude"],"publishedDate":"2025-11-08","doi":"https://doi.org/10.3390/app152211901","addedAt":"2026-08-31T14:45:35.251Z","updatedAt":"2026-08-31T14:45:35.251Z"},{"id":"oa:W4413392570","name":"Hybrid Power Units (HPUs) for eVTOL Urban Air Mobility (UAM) Vehicles: A Conceptual Analysis and Future Research Directions","source":"openalex","abstract":"This article explores hybrid power systems (HPSs) as a promising solution to enhance payload (PL) capacity and flight endurance (FE), promoting the adoption of electric vertical takeoff and landing (eVTOL) technology for Urban Air Mobility (UAM). First, a review of relevant aviation technologies, including fully electric and hybrid eVTOL vehicles, is conducted. Second, an algorithm is introduced, systematically utilizing key performance metrics such as maximum takeoff weight (MTOW), power-to-MTOW, fuel weight (FW), FE, and total energy generation (TE). A new metric, usable weight (UW), is proposed to quantify the increase in FE or PL capacity. Third, five distinct hybrid power unit (HPU) case studies are analyzed based on the proposed algorithm, incorporating a supercar piston engine (PE), a turboshaft engine (TSE), a Wankel engine, a fixed-wing adapted engine, and a new proposed engine. Each HPU is virtually run with a predefined flight profile. This analysis estimates FE, TE, and total FW, highlighting that the proposed PE represents a trade-off between power, weight, and fuel efficiency. Fourth, a comparative framework evaluates the TE output of five HPUs and a fuel cell (FC)–battery hybrid system from the literature, each with a maximum power output of 450 kW, for a 2000 kg MTOW eVTOL and a powertrain weight limit of 560 kg (including fuel). Fifth, seven commercial aircraft PEs were assessed for their suitability as prime movers in eVTOL UAM applications. The analysis identified only one candidate engine, with a power-to-weight ratio (PWR) of 1.4 kW/kg, capable of delivering FE of ≥1 hour. Finally, virtual aviation engines with power outputs up to 450 kW (dual 225 kW configuration) and PWR spanning 1–3 kW/kg were investigated. Results demonstrate that engines with PWR ≤1.1 kW/kg fail to satisfy the minimum power density requirements for sustained eVTOL FE (≥1 hour). By establishing a systematic framework for HPU prime mover selection, this study advances the design of next-generation eVTOLs for UAM with medium-to-long endurance capabilities, while simultaneously providing actionable insights to connect academic research with industrial development.","url":"https://doi.org/10.1109/tte.2025.3601382","authors":["Eiad Saif","Mehmet Çelik","Burcu Keskin","İlyas Eminoğlu"],"tags":["Power (physics)","Environmental science","Transport engineering","Computer science","Aeronautics"],"confidence":0.72,"sites":["low-altitude"],"publishedDate":"2025-08-21","doi":"https://doi.org/10.1109/tte.2025.3601382","addedAt":"2026-08-31T14:45:35.251Z","updatedAt":"2026-08-31T14:45:35.251Z"},{"id":"oa:W7201928794","name":"Charging Requirements for AAM eVTOL Aircraft of Varying Scale.","source":"openalex","abstract":"North Carolina State University Theses Mechanical and Aerospace Engineering.","url":"https://openalex.org/W7201928794","authors":["Alexander Charles Keller"],"tags":["Aerospace","Engineering","State (computer science)","Computer science","Aeronautics"],"confidence":0.72,"sites":["low-altitude"],"publishedDate":"2025-06-26","doi":"","addedAt":"2026-08-31T14:45:35.251Z","updatedAt":"2026-08-31T14:45:35.251Z"},{"id":"oa:W4393186415","name":"ISUAM: Intelligent and Safe UAM with Deep Reinforcement Learning","source":"openalex","abstract":"Urban air mobility (UAM) is on the verge of a fast-growing expansion as the major aircraft manufacturers are in the late-stage development of various Electric Vertical Take-Off and Landing (eVTOL) aircraft models. In recent decades, conflict detection and resolution (CD&R) in air traffic management has been widely studied. However, factors such as the wide availability of unmanned aerial vehicles (UAV), the expected use of eVTOL, and the latest development of groundbreaking deep reinforcement learning (DRL) have generated new interest in this research field. Some characteristics of this new aircraft type, such as weight, speed, and maneuverability, require a revisit of the CD&R for adaptation to the new paradigm. We propose an Intelligent and Safe UAM with Deep Reinforcement Learning (ISUAM) system that can perform tactical deviation maneuvers in the UAM environment using some latest DRL models. After extensive testing, including various DRL agents, Dueling Deep Q Networks (Dueling DQN) has provided the best performance and proved its ability to provide satisfactory conflict resolution.","url":"https://doi.org/10.1109/icpads60453.2023.00064","authors":["Cristiano Perez Garcia","Li Weigang","Nina S. T. Hirata","Clóvis Neumann"],"tags":["Reinforcement learning","Computer science","Artificial intelligence"],"confidence":0.72,"sites":["low-altitude"],"publishedDate":"2023-12-17","doi":"https://doi.org/10.1109/icpads60453.2023.00064","addedAt":"2026-08-31T14:45:35.251Z","updatedAt":"2026-08-31T14:45:35.251Z"},{"id":"oa:W4399271182","name":"Acoustic Measurement of Manned Electrical Vertical Take-Off and Landing (e-VTOL) Aircraft","source":"openalex","abstract":"In March 2022, acoustic measurements of the manned Volocopter VC-2X, an electrical Vertical Take-off and Landing (eVTOL) aircraft, were conducted in Pontoise - Cormeilles-en-Vexin Airport (LFPT), close to Paris, under the framework of the Choose Paris Region – Re.Invent Air Mobility Initiative led by ADP (Paris Airports) and RATP (Paris Transport Company). This measurement campaign was a common work performed by the acoustical laboratories of Bruitparif, ONERA, RATP and the STAC (Technical Service of Civil Aviation of the French DGAC), aimed at characterizing the sound radiated on the ground by this new type of aircraft in various flight conditions: flyover, hover, take-off and approach. Acoustic sensors were implemented at ground level over a 300-meter-long straight line perpendicular to the flight direction, on a 10-meter vertical arm and on other critical locations. This acoustic setup was completed by accelerometers, dual video-noise sensors “Medusa” (developed by Bruitparif), Ambisonic sensors and a weather station (radio sounding system). The aircraft was also equipped with a DGPS system to ensure 3D-accurate positioning relative to the microphone arrays. This paper presents the analysis of these measurements, providing an outlook of the noise radiated by eVTOL aircraft.","url":"https://doi.org/10.2514/6.2024-3229","authors":["Franck Cléro","Frédéric Mortain","Joran Le Nabat","Denis Weber","Thierry Cabannes","Matthieu Sineau"],"tags":["Aerospace engineering","Aeronautics","Computer science","Environmental science","Marine engineering"],"confidence":0.72,"sites":["low-altitude"],"publishedDate":"2024-05-30","doi":"https://doi.org/10.2514/6.2024-3229","addedAt":"2026-08-31T14:45:35.251Z","updatedAt":"2026-08-31T14:45:35.251Z"},{"id":"oa:W7160729371","name":"Simulation and Flight-Test Evaluation of Fault-Tolerant Control Allocation Strategies for eVTOL Aircraft","source":"openalex","abstract":"Electric vertical takeoff and landing (eVTOL) aircraft typically have more control effectors than controlled axes. This redundancy can improve flight safety by enabling recovery from control effector failures. However, eVTOL aircraft pose unique control allocation challenges because control effectiveness varies across the transition flight envelope, requiring algorithms that can redistribute virtual force and moment commands among redundant effectors under saturation and fault constraints. This thesis presents a geometric evaluation framework for characterizing the force and moment generation capability of an aircraft using the attainable force and moment set (AFMS)-a convex set in the six-dimensional space of generalized force and moment control inputs constrained by saturation and faults. Multiple pseudoinverse-based and optimization-based linear allocation methods are evaluated using the conceptual NASA Lift Plus Cruise eVTOL aircraft in steady-flight and dynamic-flight simulations. In steady-flight simulations, performance is benchmarked using AFMS volume ratio, control effort, and computational burden in nominal and faulted conditions. Dynamic-flight simulations additionally evaluate allocation error, trajectory tracking, and fault-hiding. Finally, a flight-test demonstration on an overactuated subscale fixed-wing aircraft validates real-time executability of the pseudoinverse, redistributed pseudoinverse, and direct allocation algorithms within a PX4-based architecture. Across the steady-flight, dynamic-flight, and flight-test evaluations, direct allocation provided the strongest overall performance, where the redistributed pseudoinverse emerged as the best lower-complexity alternative. Overall, this thesis establishes a scalable, aircraft-agnostic framework for comparing and selecting practical, fault-tolerant control allocation strategies.","url":"https://openalex.org/W7160729371","authors":["Garrett Dale Asper"],"tags":["Moore–Penrose pseudoinverse","Control theory (sociology)","Redundancy (engineering)","Takeoff and landing","Moment (physics)"],"confidence":0.72,"sites":["low-altitude"],"publishedDate":"2026-05-07","doi":"","addedAt":"2026-08-31T14:45:35.251Z","updatedAt":"2026-08-31T14:45:35.251Z"},{"id":"oa:W3164784210","name":"Aerodynamic analysis and static stability analysis of Manned/unmanned distributed propulsion aircrafts using actuator methods","source":"openalex","abstract":"The development of personal aerial vehicles (PAVs) using electric power distributed propulsion methods is rapidly growing. As the aerodynamic performance and flight stability characteristics can be significantly affected by multiple-propeller operation, aerodynamic analysis reflecting the power-on effect is required for design/development. Simulating all propellers using the general computational fluid dynamics is inefficient in terms of computational time and cost. Therefore, this study evaluates the practicality of actuator methods in the aerodynamic analysis of two aircrafts with multiple propellers: a quad tilt propeller (QTP) unmanned aerial vehicle (UAV) and an optionally piloted personal air vehicle (OPPAV) of the Korea Aerospace Research Institute (KARI). The normal and side forces generated by the propellers under various angle of attack and sideslip angle conditions are found to be the most contributing factors to the deterioration in the aircraft longitudinal and directional static stabilities, respectively. The forces and moments generated by the propellers are found to make both longitudinal and directional stabilities of the QTP UAV unstable. However, the OPPAV appears to remain stable state even with the operating propellers. We conclude that actuator methods, being computationally efficient in terms of cost, time, and accuracy, possess great potential for aerodynamic analysis in various related industries.","url":"https://doi.org/10.1016/j.jweia.2021.104648","authors":["Dahye Kim","Ye-Bin Lee","Sejong Oh","Young-Min Park","Jae-Hoon Choi","Donghun Park"],"tags":["Propeller","Aerodynamics","Propulsion","Longitudinal static stability","Actuator"],"confidence":0.72,"sites":["low-altitude"],"publishedDate":"2021-05-25","doi":"https://doi.org/10.1016/j.jweia.2021.104648","addedAt":"2026-08-31T14:45:35.251Z","updatedAt":"2026-08-31T14:45:35.251Z"},{"id":"oa:W4317938244","name":"Flight Performance with Respect to Rotor Rotation Directions of Multirotor Aircraft","source":"openalex","abstract":"A multirotor electric vertical takeoff and landing (EVTOL) aircraft is specialized for intracity point-to-point urban air mobility services due to its advantages of efficient hover performance, high gust resistance, and relatively low noise. Because of its multiple rotors, rotor–rotor interference inevitably affects flight performance, mainly depending on inter-rotor distance and rotor rotation directions. It is assumed that there exists an optimal rotation direction for a given lot of multiple rotors. In this study, the aim is to investigate rotor–rotor interference for various rotation directions and the resulting flight performance. We propose a concept of rotor rotation direction that achieves the desirable flight performance in forward flight. The concept is called front-retreating/rear-advancing (FRRA), in which the retreating side of the front rotor and the advancing side of the rear rotor are aligned in a straight line. To this end, a multidisciplinary flight simulation framework was developed to predict the flight performance of a general multirotor EVTOL aircraft. It was found that the FRRA concept minimizes thrust loss due to rotor–rotor interference in high-speed forward flight. For a generic mission profile, the rotation direction set by the FRRA concept reduces the battery energy consumption by 7% in comparison to the rotation direction of unfavorable rotor–rotor interference in operation.","url":"https://doi.org/10.2514/1.j062330","authors":["Hyeongseok Kim","Daejin Lim","Kwanjung Yee"],"tags":["Rotor (electric)","Multirotor","Takeoff","Rotation (mathematics)","Thrust"],"confidence":0.72,"sites":["low-altitude"],"publishedDate":"2023-01-25","doi":"https://doi.org/10.2514/1.j062330","addedAt":"2026-08-31T14:45:35.251Z","updatedAt":"2026-08-31T14:45:35.251Z"},{"id":"oa:W4413177746","name":"A review and bibliometric analysis of intelligent techniques for advanced battery state estimation in aviation propulsion systems","source":"openalex","abstract":"This review assesses advanced battery state estimation techniques for electric aviation, focusing on machine learning (ML), filtering methods, and fuzzy-based energy management strategies. Aviation batteries face unique challenges, including extreme fluctuations in power demand and significant variations in temperature and pressure across flight phases. These conditions disturb battery behavior and complicate state of charge (SOC), state of health (SOH), and remaining useful life (RUL) estimations. Filtering methods such as Kalman and particle filters demonstrate resistance to noise and dynamic loads. However, their application remains mostly limited to unmanned aerial vehicles (UAVs), with minimal studies addressing hybrid-electric aircraft (HEA) and none focused on electric vertical takeoff and landing (eVTOL) aircraft. ML techniques, including deep and hybrid models, offer adaptability under harsh conditions. Nevertheless, most studies rely on non-benchmarked or static-temperature datasets, limiting real-world relevance, especially in eVTOL aircraft applications. Transformer models outperform traditional deep learning approaches in low temperatures, showing promise for HEAs. Fuzzy-based techniques, while less suited for regression tasks, are widely adopted for energy management due to their ability to incorporate expert-defined logic via membership functions and rule-based control. However, most hybrid fuzzy systems lack interpretability evaluation, which poses a barrier to certification and deployment. This review highlights critical gaps, including the insufficient aviation-specific datasets, the underutilization of lithium polymer batteries in intelligent models, and the need for adaptive, context-aware estimation architectures tailored to dynamic aviation missions.","url":"https://doi.org/10.1016/j.rineng.2025.106741","authors":["Abdeen Osman","Mahmoud Z. Mistarihi","Mohamad Ramadan","Mohammed Ghazal","Mohammad Alkhedher"],"tags":["Aviation","Aeronautics","Estimation","Battery (electricity)","Propulsion"],"confidence":0.72,"sites":["low-altitude"],"publishedDate":"2025-08-13","doi":"https://doi.org/10.1016/j.rineng.2025.106741","addedAt":"2026-08-31T14:45:35.251Z","updatedAt":"2026-08-31T14:45:35.251Z"},{"id":"oa:W4283208585","name":"Online Evaluation for Chance-Constrained Geofences under Data-Driven Uncertainties","source":"openalex","abstract":"View Video Presentation: https://doi.org/10.2514/6.2022-3613.vid Urban air mobility (UAM) using electrical vertical take-off and landing (eVTOL) aircraft is an emerging way of air transportation within metropolitan areas. A key challenge for the success of UAM is how to manage large-scale flight operations with safety guarantee in high-density, dynamic and uncertain airspace environments in real-time. To deal with these challenges, in this paper we combine the concept of geofence and chance constraints to obtain chance-constrained geofences under data-driven uncertainties, which can guarantee that the probability of potential conflicts between eVTOL aircraft is bounded given a general empirical distribution. To evaluate the chance-constrained geofences in an online fashion, Kernel Density Estimation (KDE) based on Fast Fourier Transform (FFT) is adopted and customized to model data-driven uncertainties. Comprehensive numerical simulations demonstrate the feasibility and efficiency of the online evaluation of chance-constrained geofence through the algorithm of FFT-based KDE.","url":"https://doi.org/10.2514/6.2022-3613","authors":["Pengcheng Wu","Jun Chen"],"tags":["Computer science"],"confidence":0.72,"sites":["low-altitude"],"publishedDate":"2022-06-20","doi":"https://doi.org/10.2514/6.2022-3613","addedAt":"2026-08-31T14:45:35.251Z","updatedAt":"2026-08-31T14:45:35.251Z"},{"id":"oa:W4283211209","name":"Enhanced Performance Prediction of Hydrogen Fuel Cell Powered eVTOL UAV","source":"openalex","abstract":"View Video Presentation: https://doi.org/10.2514/6.2022-3382.vid The purpose of this paper is to increase the accuracy of eVTOL UAV performance prediction at steady-level-flight conditions. eVTOL UAV is powered by hydrogen fuel cell and battery. Inhouse program ADSP, which is capable of analyzing and optimizing fuel powered aircraft such as VLA, UAV, and UCAV is used as a baseline analysis program. Since ADPS can only perform for fuel powered aircraft, ADSP is upgraded for the battery and hydrogen fuel cell powered eVTOL UAV. However, applied methods in the ADSP are based on statical equations and numerical methods, as a result, the performance cannot be accurately predicted. Therefore, surrogate models for each discipline are developed by collecting high-fidelity data including experimental data and CFD results, and according to the analysis code framework. The aerodynamics analysis fidelity is improved by CFD data, propulsion analysis fidelity is increased by conducting experimental data, in addition, the hydrogen fuel cell experimental data are also used to correct the efficiency to predict the fuel consumption. The high accuracy performance is predicted by integrating the fidelity enhanced model of each discipline, physically. This paper shows an effective integration method for predicting the enhanced performance of eVTOL UAVs in a practical approach. Not only the performance of different flight modes but also the whole flight mission can be predicted. Inhouse program ADSP analysis is used as a baseline, and improved fidelity analysis is used as enhanced analysis, which is compared for performance and mission analysis. The analysis results show that the enhanced analysis prediction results of drag, power, and energy required at forwarding flight are almost 2 times higher than the baseline analysis resulting in lower maximum endurance and lower maximum range which is more realistic to actual flight.","url":"https://doi.org/10.2514/6.2022-3382","authors":["Zin W. Thu","Jae-Hyun Ahn","Jae-Lyun Lee","Do-Youn Kwon","Yeonju Choi","Woon-Jae Won","Maxim Tyan","Jae-Woo Lee"],"tags":["Propulsion","Fidelity","Computer science","Fuel efficiency","Aerodynamics"],"confidence":0.72,"sites":["low-altitude"],"publishedDate":"2022-06-20","doi":"https://doi.org/10.2514/6.2022-3382","addedAt":"2026-08-31T14:45:35.251Z","updatedAt":"2026-08-31T14:45:35.251Z"},{"id":"oa:W4415891749","name":"Low-altitude infrastructure and economic growth: Evidence from general aviation airports","source":"openalex","abstract":"","url":"https://doi.org/10.1016/j.tranpol.2025.103880","authors":["Shengwu Zhang","Liyan Han"],"tags":["General aviation","Aviation","Endogeneity","Aviation engineering","China"],"confidence":0.72,"sites":["low-altitude"],"publishedDate":"2025-11-04","doi":"https://doi.org/10.1016/j.tranpol.2025.103880","addedAt":"2026-08-31T14:45:35.251Z","updatedAt":"2026-08-31T14:45:35.251Z"},{"id":"oa:W4384784671","name":"UAMDynCon-DT: A Data-driven Dynamics and Robust Control Framework for UAM Vehicle Digitalization using Deep Learning","source":"openalex","abstract":"This study presents a data-driven dynamics and robust control framework, referred to as UAMDynCon-DT, for the accurate cloning of ground-truth dynamics and the robust control of attitude in a personal aerial vehicle (PAV) known as the KP-1 eVTOL aircraft. The proposed framework utilizes exponentially stabilizing control Lyapunov functions to ensure stability and robustness, and utilizes a nonlinear flight dynamics model of the KP-1 to construct the controller. To evaluate its performance, real-world flight tests were conducted on a scaled model of the KP-1, and results were compared to those obtained from traditional control methods. The tests demonstrated improved resilience to disturbances and uncertainties when utilizing the proposed framework. This research suggests that UAMDynConDT could be a valuable tool for the future development of large-scale urban air mobility vehicles.","url":"https://doi.org/10.1109/icmcr56776.2023.10181072","authors":["Minseok Jang","Jeongseok Hyun","Taeho Kwag","Chan Gwak","Tuấn Anh Nguyễn","Jae Wook Lee"],"tags":["Robustness (evolution)","Cruise control","Computer science","Vehicle dynamics","Robust control"],"confidence":0.72,"sites":["low-altitude"],"publishedDate":"2023-02-18","doi":"https://doi.org/10.1109/icmcr56776.2023.10181072","addedAt":"2026-08-31T14:45:35.251Z","updatedAt":"2026-08-31T14:45:35.251Z"},{"id":"oa:W3128724560","name":"Optimal Control Based Flight Control Law Clearance for eVTOL Using Postoptimal Sensitivity Analysis","source":"openalex","abstract":"In this paper, the effectiveness of the optimal control-based method for clearance problem is investigated, which examines the robustness of the control law by searching for the worst conditions. Specifically, the method is applied to a novel-configured electric Vertical Take-Off and Landing (eVTOL) aircraft with uncertain parameters considered. The criterion under research is the normal load factor limit exceedance criterion. By applying the bi-level optimization scheme, worst-case controls and parameters values are determined in two layers of problems to find the highest load factor that is likely to violate the criterion. The post-optimal sensitivity analysis on the cost function is carried out at the optimal point of the nominal problem. This method helps decide the influence of each parameter and reduce the dimension of the parameter space of the upper-level problem by selecting a subset of parameters. The methods mentioned above appear to perform well and can efficiently be applied to the parameter-dependent clearance problem.","url":"https://doi.org/10.1109/cac51589.2020.9327632","authors":["Xin Wen","Weizhong Zhang","Wei Zheng"],"tags":["Robustness (evolution)","Control theory (sociology)","Sensitivity (control systems)","Mathematical optimization","Optimal control"],"confidence":0.72,"sites":["low-altitude"],"publishedDate":"2020-11-06","doi":"https://doi.org/10.1109/cac51589.2020.9327632","addedAt":"2026-08-31T14:45:35.251Z","updatedAt":"2026-08-31T14:45:35.251Z"},{"id":"oa:W4412485512","name":"Simulating System and Powerplant Dynamics of an e-VTOL Aircraft for a Full Flight Mission Including Transition","source":"openalex","abstract":"As Electric Vertical Take-off and Landing aircraft approach their introduction to service in advanced air mobility operations, their operational versatility makes them a key testbed for the further electrification of aviation. Publicly available tools are needed to understand, predict, and optimize the impact these aircraft will have on energy, emissions, and mobility infrastructure. To meet this need, we have developed a 6-Degree-of-Freedom (6-DOF) eVTOL aircraft model in the Aeronomie simulation tool to capture aircraft and powerplant dynamics. This paper, the final in a series detailing our eVTOL modeling efforts addresses the flight dynamics of the critical transition phase between vertical and forward flight. We present the development of the dynamic model and control system required to simulate this complex maneuver.","url":"https://doi.org/10.2514/6.2025-3558","authors":["Nirmit Prabhakar","Francesco Salucci","Dominik Karbowski"],"tags":["Aerospace engineering","Aeronautics","Flight dynamics","Power (physics)","Computer science"],"confidence":0.72,"sites":["low-altitude"],"publishedDate":"2025-07-16","doi":"https://doi.org/10.2514/6.2025-3558","addedAt":"2026-08-31T14:45:35.251Z","updatedAt":"2026-08-31T14:45:35.251Z"},{"id":"oa:W3044754945","name":"Wireless Communication for Flying Cars","source":"openalex","abstract":"Abstract The existing ground-based transportation systems suffer from various challenges, mainly the high cost of infrastructure development, limited land space, and the growing urban population. Therefore, the automotive and aviation industries are collaborating to develop flying cars, also knows as electric vertical takeoff and landing aircrafts (eVTOLs). These eVTOLs will enable reliable and rapid urban and suburban transportation. Safe operation of eVTOLs will require well-developed wireless communication networks. However, existing communication technologies need advancement to provide services to flying cars. We report various potential solutions that are feasible for communication among the eVTOLs and with the ground. These possibilities include on-ground three-dimensional cellular networks, tethered balloons, high altitude platforms, and satellites.","url":"https://doi.org/10.21203/rs.3.rs-155561/v1","authors":["Nasir Saeed","Tareq Y. Al-Naffouri","Mohamed‐Slim Alouini"],"tags":["Wireless","Automotive industry","Telecommunications","Aviation","Takeoff"],"confidence":0.72,"sites":["low-altitude"],"publishedDate":"2021-02-05","doi":"https://doi.org/10.21203/rs.3.rs-155561/v1","addedAt":"2026-08-31T14:45:35.251Z","updatedAt":"2026-08-31T14:45:35.251Z"},{"id":"oa:W7135936484","name":"Experimental Investigation of Propeller Noise from a 10% Scale Half-Model eVTOL Aircraft","source":"openalex","abstract":"A 10% scale, half-model eVTOL aircraft was built, and far-field noise measurements were performed in the National Aeroacoustic Wind Tunnels at the University of Bristol at various operating conditions. The half-model eVTOL aircraft consists of a PLA 3D-printed fuselage and wing with interchangeable flaps, pylons machined from stainless steel, and propellers machined from aluminium. There are two pylons: inboard and outboard of the fuselage and each pylon consists of a forward propeller mounted on an interchangeable part such that the forward propeller can be tilted from the hover to cruise condition, and an aft propeller that operates in the hover condition and is stationary and fixed in position in the cruise condition. The propellers are mounted on an electric motor such that it can be rotated to - RPM. Wind tunnel testing was performed for a forward and aft propeller installed on the inboard pylon of the 10% scale, half-model eVTOL aircraft for multiple forward propeller tilt angles, aircraft pitch angles, wind tunnel speeds, and multiple combinations of the forward and aft propeller rotational speeds. A microphone array consisting of 60 ¼-inch microphones encompassing a spherical quadrant of the anechoic wind tunnel was assembled to obtain far-field noise measurements. Preliminary experiments were performed to mitigate low-Reynolds number effects on the propeller and wings, and the effect of the wind tunnel nozzle size on the noise produced by the installed propeller was also investigated. Acoustic spectra and directivity plots will be presented showing the trends in the effect of the aircraft pitch angle and forward propeller tilt angle on the far-field noise.","url":"https://openalex.org/W7135936484","authors":["Sung Tyaek Go","Djamel Rezgui","Craig J. Mead","Muhammad Rehan Naseer","Henrique Raposo","Liam P. Hanson","Daniel J. Poole","Mahdi Azarpeyvand"],"tags":["Fuselage","Propeller","Turboprop","Wind tunnel","Marine engineering"],"confidence":0.72,"sites":["low-altitude"],"publishedDate":"2025-10-22","doi":"","addedAt":"2026-08-31T14:45:35.251Z","updatedAt":"2026-08-31T14:45:35.251Z"},{"id":"oa:W7152933451","name":"eVTOL Aircraft Energy Overhead Estimation under Conflict Resolution in High-Density Airspaces","source":"openalex","abstract":"Electric vertical takeoff and landing (eVTOL) aircraft operating in high-density urban airspace must maintain safe separation through tactical conflict resolution, yet the energy cost of such maneuvers has not been systematically quantified. This paper investigates how conflict-resolution maneuvers under the Modified Voltage Potential (MVP) algorithm affect eVTOL energy consumption. Using a physics-based power model integrated within a traffic simulation, we analyze approximately 71,767 en route sections within a sector, across traffic densities of 10-60 simultaneous aircraft. The main finding is that MVP-based deconfliction is energy-efficient: median energy overhead remains below 1.5% across all density levels, and the majority of en route flights within the sector incur negligible penalty. However, the distribution exhibits pronounced right-skewness, with tail cases reaching 44% overhead at the highest densities due to sustained multi-aircraft conflicts. The 95th percentile ranges from 3.84% to 5.3%, suggesting that a 4-5% reserve margin accommodates the vast majority of tactical deconfliction scenarios. To support operational planning, we develop a machine learning model that estimates energy overhead at mission initiation. Because conflict outcomes depend on future traffic interactions that cannot be known in advance, the model provides both point estimates and uncertainty bounds. These bounds are conservative; actual outcomes fall within the predicted range more often than the stated confidence level, making them suitable for safety-critical reserve planning. Together, these results validate MVP's suitability for energy-constrained eVTOL operations and provide quantitative guidance for reserve energy determination in Advanced Air Mobility.","url":"https://openalex.org/W7152933451","authors":["Alex B. Zongo","Peng Wei"],"tags":["Overhead (engineering)","Range (aeronautics)","Takeoff","Energy (signal processing)","Percentile"],"confidence":0.72,"sites":["low-altitude"],"publishedDate":"2026-04-07","doi":"","addedAt":"2026-08-31T14:45:35.251Z","updatedAt":"2026-08-31T14:45:35.251Z"},{"id":"oa:W4409656543","name":"On-demand ridesharing based on dynamic scheduling in urban air mobility","source":"openalex","abstract":"Urban Air Mobility (UAM) utilizes electric vertical take-off and landing (eVTOL) aircraft to provide fast, reliable air transport services in cities and surrounding areas. As a flexible mode of transportation service, UAM ridesharing can provide convenient and adaptive multi-modal on-demand travel. In this scenario, multi-modal mobility-on-demand service providers can offer traditional door-to-door ridesharing with an integrated solution, through connecting users to eVTOL vertiports. We establish the integrated dynamic scheduling model for UAM ridesharing, and develop a cloud-edge collaborative multi-modal mobility-on-demand service architecture. This architecture integrates ordinary, multi-hop ridesharing and air-ground integrated mobility, offering flexible travel combinations tailored to user needs. We propose a multi-modal transportation dynamic scheduling algorithm based on this architecture to solve the problem. The solution process is divided into four stages: travel service plan planning, available resource search, dynamic cooperative multiple task assignment, and vehicle rebalancing. In the first two stages, an improved pulse algorithm is used to search for feasible service plans and filter available transport resources. In the dynamic cooperative multiple task assignment stages, we use a hybrid adaptive large neighborhood search algorithm to select travel plans, allocate transport resources, and plan vehicle routes. The graph structure of the task network is used in the algorithm to decouple the original problem, thereby effectively controlling the problem size. Finally, in the vehicle rebalancing stage, idle vehicles are repositioned based on demand distribution to improve supply–demand matching efficiency. Experiments based on New York City travel data indicate that compared to traditional ridesharing, our system can significantly improve the service rate and reduce user travel time. In the best-case scenario, the service rate increased by approximately 25%, while the average detour time decreased by around 52%. This demonstrates the possibility of enhancing convenience and attractiveness of UAM, which can also provide support and reference for the design and operation of future multi-modal transportation systems.","url":"https://doi.org/10.1016/j.trc.2025.105111","authors":["Xi Li","Tengfei Zhang","Yiyong Xiao","Daqing Li"],"tags":["Scheduling (production processes)","Transport engineering","Computer science","Simulation","Engineering"],"confidence":0.72,"sites":["low-altitude"],"publishedDate":"2025-04-22","doi":"https://doi.org/10.1016/j.trc.2025.105111","addedAt":"2026-08-31T14:45:35.251Z","updatedAt":"2026-08-31T14:45:35.251Z"},{"id":"oa:W4383762872","name":"Wind Tunnel Testing and Analysis of a Rigid, Variable Speed Rotor for eVTOL Applications","source":"openalex","abstract":"Many electric vertical take-off and landing (eVTOL) aircraft intended for the urban air mobility (UAM) market are currently being designed with multirotor configurations using variable speed fixed-pitch, rigid rotors for lift. These types of rotors, which are similar in construction to general aviation airplane propellers, are simpler than helicopter rotors and have no moving parts in the rotating frame. This paper discusses wind-tunnel testing of a full-scale, UAM multirotor size, fixed-pitch, rigid rotor with a focus on vibratory blade loads and on the ability to predict these loads with comprehensive analysis. Test results show that vibratory loads are very high, with peak-to-peak magnitudes up to three times greater than the steady component. Correlation of test data to comprehensive analysis using geometrically exact composite beam structural elements and dynamic inflow wake modeling captures the trends in the steady and vibratory loads, but under-predicts the magnitudes by up to 50%. The paper also discusses the physical sources of the observed vibratory loads and suggests potential options for mitigating their magnitude.","url":"https://doi.org/10.4050/f-0076-2020-16411","authors":["William Staruk","Evan Bonny","Lauren Butt","Cody Gray","Garrett Hennig","Diego Represa","Richard Toner"],"tags":["Multirotor","Airplane","Wind tunnel","Inflow","Lift (data mining)"],"confidence":0.72,"sites":["low-altitude"],"publishedDate":"2020-10-05","doi":"https://doi.org/10.4050/f-0076-2020-16411","addedAt":"2026-08-31T14:45:35.251Z","updatedAt":"2026-08-31T14:45:35.251Z"},{"id":"oa:W4415970923","name":"Joint Resource Estimation and Trajectory Optimization for eVTOL-Involved CR Network: A Monte Carlo Tree Search-Based Approach","source":"openalex","abstract":"Electric Vertical Take-Off and Landing (eVTOL) aircraft, pivotal to Advanced Air Mobility (AAM), are emerging as a transformative transportation paradigm with the potential to redefine urban and regional mobility. While these systems offer unprecedented efficiency in transporting people and goods, they rely heavily on computation capability, safety-critical operations such as real-time navigation, environmental sensing, and trajectory tracking—necessitating robust offboard computational support. A widely adopted solution involves offloading these tasks to terrestrial base stations (BSs) along the flight path. However, air-to-ground connectivity is often constrained by spectrum conflicts with terrestrial users, which poses a significant challenge to maintaining reliable task execution. Cognitive radio (CR) techniques offer promising capabilities for dynamic spectrum access, making them a natural fit for addressing this issue. Existing studies often overlook the time-varying nature of BS resources, such as spectrum availability and Central Processing Unit (CPU) cycles, which leads to inaccurate trajectory planning, suboptimal offloading success rates, excessive energy consumption, and operational delays. To address these challenges, we propose a trajectory optimization framework for eVTOL swarms that maximizes task offloading success probability while minimizing both energy consumption and resource competition (e.g., spectrum and CPU cycles) with primary terrestrial users. The proposed algorithm integrates a Multi-Armed Bandit (MAB) model to dynamically estimate BS resource availability and a Monte Carlo Tree Search (MCTS) algorithm to determine optimal offloading decisions, selecting both the BSs and access time windows that align with energy and temporal constraints. Furthermore, the framework incorporates adaptive trajectory re-planning to account for BS access failures during execution. Simulation results reveal that the proposed approach outperforms benchmark methods, achieving up to a 60% improvement in energy efficiency and a 17% increase in task completion probability, demonstrating its suitability for large-scale AAM deployments.","url":"https://doi.org/10.1109/tccn.2025.3630004","authors":["Kai Xiong","Chenxin Yang","Yujie Qin","Wanzhi Ma","Chau Yuen"],"tags":["Computer science","Trajectory","Energy consumption","Monte Carlo method","Base station"],"confidence":0.72,"sites":["low-altitude"],"publishedDate":"2025-11-06","doi":"https://doi.org/10.1109/tccn.2025.3630004","addedAt":"2026-08-31T14:45:35.251Z","updatedAt":"2026-08-31T14:45:35.251Z"},{"id":"oa:W3016032168","name":"Energy-based conceptual design of battery-powered eVTOL aircraft for air ambulance services in China","source":"openalex","abstract":"Air ambulance services (AAS) will be an important part of Emergency Medical Services System (EMSS) in the future, using autonomous, battery-powered, electric Vertical Take-off and Landing (eVTOL) aircraft. However, the energy density of lithium batteries limits the application of eVTOL aircraft in air emergency missions. An energy-based conceptual design of the battery-powered eVTOL aircraft with tandem tilt wings for AAS is presented in this research, to demonstrate the application prospects in China. Based on the population distribution in China, Chinese geographical conditions and the data of emergency medical air rescue aircraft in other countries, this research firstly derives that air emergency centers in China need a large service radius (i.e., 100km), and the flight mission profile is established. Using the modified momentum theory, the energy model of rescue mission is established in this research. And the relationship between the energy required to complete the mission and the conceptual parameters is established by the energy model. Therefore, we can estimate the take-off weight of the aircraft with the conceptual parameters. The initial conceptual parameters are brought into the weight iterative model and the maximum takeoff weight converges from 1684 kg to 1571 kg. The weight is close to that of a normal light helicopter and has the ability to land in most places. The results suggest that the battery-powered eVTOL with tandem tilt wings can be competent for AAS in China.","url":"https://openalex.org/W3016032168","authors":["Zou Xu","Zhou Zhou"],"tags":["Aeronautics","Takeoff","Battery (electricity)","Conceptual design","Engineering"],"confidence":0.72,"sites":["low-altitude"],"publishedDate":"2019-01-01","doi":"","addedAt":"2026-08-31T14:45:35.251Z","updatedAt":"2026-08-31T14:45:35.251Z"},{"id":"oa:W4413329722","name":"Tailored composites and digital optimization for efficient eVTOL propellers","source":"openalex","abstract":"Abstract Electrified urban air mobility (UAM) aircraft, including small drones and electric vertical takeoff and landing (eVTOL) vehicles, require highly efficient, lightweight propellers. These propellers must meet stringent mechanical performance requirements while being manufacturable at high volumes and low cost. This study explores a holistic optimization approach for eVTOL propellers using stitch-free, adhesive bonded T-NCFs and a semi-automated design tool “Proptimize”. The developed propeller design tool integrates mechanical performance, manufacturing quality, and economic considerations, enabling systematic optimization. Compared to a benchmark, the optimized propeller demonstrator achieved a weighted performance increase of approximately 45%. The key improvements include an over 80% increase in bending and torsional stiffness, a 30% reduction in manual labor and production time, slight gains in propeller thrust at minimal increase in overall weight. Additionally, lightweight performance—measured as longitudinal and torsional stiffness per kilogram—was enhanced by up to 94%.","url":"https://doi.org/10.1007/s13272-025-00880-9","authors":["R.A. Hubert","Tobias Weber","Lars Linnemann","Brian G. Falzon","Adrian C. Orifici"],"tags":["Composite material","Materials science","Mechanical engineering","Computer science","Engineering"],"confidence":0.72,"sites":["low-altitude"],"publishedDate":"2025-08-19","doi":"https://doi.org/10.1007/s13272-025-00880-9","addedAt":"2026-08-31T14:45:35.251Z","updatedAt":"2026-08-31T14:45:35.251Z"},{"id":"oa:W4385067438","name":"Towards Safe and Efficient Unmanned Aircraft System Operations: Literature Review of Digital Twins’ Applications and European Union Regulatory Compliance","source":"openalex","abstract":"Unmanned aerial system/unmanned aircraft system (UAS) operations have increased exponentially in recent years. With the creation of new air mobility concepts, industries use cutting-edge technology to create unmanned aerial vehicles (UAVs) for various applications. Due to the popularity and use of advanced technology in this relatively new and rapidly evolving context, a regulatory framework to ensure safe operations is essential. To reflect the several ongoing initiatives and new developments in the domain of European Union (EU) regulatory frameworks at various levels, the increasing needs, developments in, and potential uses of UAVs, particularly in the context of research and innovation, a systematic overview is carried out in this paper. We review the development of UAV regulation in the European Union. The issue of how to implement this new and evolving regulation in UAS operations is also tackled. The digital twin (DT)’s ability to design, build, and analyze procedures makes it one potential way to assist the certification process. DTs are time- and cost-efficient tools to assist the certification process, since they enable engineers to inspect, analyze, and integrate designs as well as express concerns immediately; however, it is fair to state that DT implementation in UASs for certification and regulation is not discussed in-depth in the literature. This paper underlines the significance of UAS DTs in the certification process to provide a solid foundation for future studies.","url":"https://doi.org/10.3390/drones7070478","authors":["Elham Fakhraian","Ivana Šemanjski","Silvio Šemanjski","El‐Houssaine Aghezzaf"],"tags":["Certification","European union","Context (archaeology)","Process (computing)","Popularity"],"confidence":0.72,"sites":["low-altitude"],"publishedDate":"2023-07-20","doi":"https://doi.org/10.3390/drones7070478","addedAt":"2026-08-31T14:45:35.251Z","updatedAt":"2026-08-31T14:45:35.251Z"},{"id":"oa:W4412485788","name":"Physics-Constrained Generative Artificial Intelligence for Rapid Takeoff Trajectory Design","source":"openalex","abstract":"The urban air mobility (UAM) industry is rapidly growing to alleviate regional transportation congestion. Electric vertical takeoff and landing (eVTOL) aircraft plays a critical role in this growth due to their efficiency and reduced operating cost. However, excessive energy demands by the takeoff phase impact the practicality of the aircraft. Conventional multidisciplinary analysis and optimization (MDAO) identifies a minimum energy trajectory but can be computationally intensive due to iteratively evaluating high-fidelity simulation models. In addition, complex constraints in practical MDAO pose crucial challenges to the already demanding process. Surrogate models enable efficient design optimization, but complex constraints could prohibit surrogate-based MDAO from finding the optimal design. This work proposes a physically constrained generative artificial intelligence model, i.e., physics-constrained generative adversarial networks (physicsGAN), to intelligently parameterize the takeoff control profiles of an eVTOL aircraft and to transform the original design space to a feasible space. Specifically, the transformed feasible space refers to a space where all designs directly satisfy all design constraints. The physicsGAN-enabled surrogate-based takeoff trajectory design framework was demonstrated on the Airbus A3 Vahana. The physicsGAN generated only feasible control profiles of power and wing angle in the feasible space with around 98.9% of designs satisfying all constraints. The proposed design framework obtained 99.6% accuracy compared with simulation-based optimal design and took only 2.2 seconds, which reduced the computational time by around 200 times. Meanwhile, data-driven GAN-enabled surrogate-based optimization took 21.9 seconds using a derivative-free optimizer, which was around an order of magnitude slower than the proposed framework. Moreover, the data-driven GAN-based optimization using gradient-based optimizers could not consistently find the optimal design during random trials and got stuck in an infeasible region, which is problematic in real practice. Therefore, the proposed physicsGAN-based design framework outperformed data-driven GAN-based design to the extent of efficiency (2.2 seconds), optimality (99.6% accurate), and feasibility (100% feasible). According to the literature review, this is the first physics-constrained generative artificial intelligence enabled by surrogate models.","url":"https://doi.org/10.2514/6.2025-3802","authors":["Sam Sisk","Xiaosong Du"],"tags":["Trajectory","Takeoff","Artificial intelligence","Generative grammar","Physics"],"confidence":0.72,"sites":["low-altitude"],"publishedDate":"2025-07-16","doi":"https://doi.org/10.2514/6.2025-3802","addedAt":"2026-08-31T14:45:35.251Z","updatedAt":"2026-08-31T14:45:35.251Z"},{"id":"oa:W4415532516","name":"Integrated take-off management and trajectory optimization for merging control in urban air mobility corridors","source":"openalex","abstract":"","url":"https://doi.org/10.1016/j.trc.2025.105370","authors":["Yingqi Liu","Tianlu Pan","Jingjun Tan","Renxin Zhong","Can Chen"],"tags":["Trajectory","Control (management)","Air traffic control","Computer science","Air traffic management"],"confidence":0.72,"sites":["low-altitude"],"publishedDate":"2025-10-25","doi":"https://doi.org/10.1016/j.trc.2025.105370","addedAt":"2026-08-31T14:45:35.251Z","updatedAt":"2026-08-31T14:45:35.251Z"},{"id":"oa:W7198091941","name":"Stabilization of eVTOL aircraft in the hovering mode using reaction wheels","source":"openalex","abstract":"Tato práce se zabývá novým přístupem k stabilizaci náklonu letounu eVTOL během vzletu a přistání. Středem tohoto přístupu je reakční kolo, též známé jako momentové kolo, které slouží jako řídící prvek pro stabilizaci zkoumaného letounu. Vzhledem k tomu, že jsou reakční kola primárně používána v kosmickém průmyslu pro přesnou orientaci kosmických lodí, tato práce zahrnuje pokus o navržení reakčního kola schopného stabilizace v prostředí standardní atmosféry, které, až bude umístěno do letadla, bude schopno pomoci s manévry stabilizace. Takový návrh byl testován v simulacích proti nejmodernějším stabilizačním technikám, poskytujíc přehled o proveditelnosti tohoto přístupu. Simulace zahrnují reakční kolo s odpovídajícím podsystémem BLDC motoru a podsystémem letadla jako dvě propojené podsystémy, pro které byly implementovány lineární řídící algoritmy založené na řízení PID.","url":"https://openalex.org/W7198091941","authors":["Hamza Muminović","Hamza Muminović"],"tags":["Mode (computer interface)","Physics","Engineering","Computer science","Structural engineering"],"confidence":0.72,"sites":["low-altitude"],"publishedDate":"2024-06-07","doi":"","addedAt":"2026-08-31T14:45:35.251Z","updatedAt":"2026-08-31T14:45:35.251Z"},{"id":"oa:W4236580937","name":"Urban Aeronautics and HyPoint plan hydrogen powered VTOL aircraft","source":"openalex","abstract":"Israeli company Urban Aeronautics, a developer of compact vertical takeoff and landing (VTOL) aircraft, has signed an agreement with HyPoint in California to advance the incorporation of hydrogen fuel cell power in its CityHawk eVTOL design.","url":"https://doi.org/10.1016/s1464-2859(20)30279-0","authors":[],"tags":["Takeoff","Aeronautics","Takeoff and landing","Engineering","Aerospace engineering"],"confidence":0.72,"sites":["low-altitude"],"publishedDate":"2020-07-01","doi":"https://doi.org/10.1016/s1464-2859(20)30279-0","addedAt":"2026-08-31T14:45:35.251Z","updatedAt":"2026-08-31T14:45:35.251Z"},{"id":"oa:W4390072358","name":"Modular Propeller-Wing Interaction Modeling Method for Tilt-Rotor Aircraft","source":"openalex","abstract":"","url":"https://doi.org/10.2139/ssrn.4671509","authors":["Jan Belák","Martin Hromčík"],"tags":["Propeller","Wing","Rotor (electric)","Modular design","Tilt (camera)"],"confidence":0.72,"sites":["low-altitude"],"publishedDate":"2023-01-01","doi":"https://doi.org/10.2139/ssrn.4671509","addedAt":"2026-08-31T14:45:35.251Z","updatedAt":"2026-08-31T14:45:35.251Z"},{"id":"oa:W3213076816","name":"Scenarios for the Use of eVTOLs Using Multiagent SystemsWith Netlogo:Comparison Of Parameters And The Impact On UAM","source":"openalex","abstract":"Electric Vertical Take-Off and Landing (eVTOL) has been used in the most diverse applications, as electric vehicles and having a small size, they could land in small spaces and maybe in dense urban areas. Another type of vehicle used is the Unmanned air vehicle (UAV), which doesn't need user (human) control. The future of the development of this technology is the use of these vehicles to make deliveries and transportation of people and many others, having many vehicles making transit in small areas, leading to traffic jams. Despite this, most research focuses on scenarios with only one or a few agents. These scenarios, however, do not reflect the reality expected in the future, including multiple aircraft controlled by different entities, with diverse goals. These scenarios, mainly urban and used in dense areas, with many vehicles having to share the same air space, the normal Air Traffic Management (ATM) could not handle this new traffic, of hundreds of small and autonomous vehicles, in a central city region, this requires specific rules that have been called UAM (Urban Air Mobility). Bringing issues as safety and rules regarding the organization of this new system. This work aims to present scenarios using computer simulations created based on a multi-agent simulation tool or a Multi-Agent System (MAS). The MAS has the advantage that we could create and simulate more powerfully the existence of multiple vehicles (or agents) that act independently, as would happen in a real situation. This tool uses the Netlogo language and allows the modeling of multiple UAVs with stochastic trajectories created in a decentralized way, verifying how the model deals with conflicts and obstacles, highlighting some challenges and capabilities of UAM. Presenting some scenarios, using different parameters, such as aircraft by distinct capacities and in adverse climatic situations. As well, analyzes of results from these simulations conducted to assess the safety and the performance of the process. Using this tool, we propose some testing scenarios and execute some validation using multiple executions with different parameters as the number of planes and velocity to get results as the trajectory time and the number of conflicts. With this data, we try to show that we could estimate the airspace capacity and validate the safety of the given model used parameters. We will show some results of the execution of this tool and try to make some inferences and draw some conclusions based on these results.","url":"https://doi.org/10.1109/dasc52595.2021.9594507","authors":["Felipe Desiglo Ferrare","Derick Moreira Baum","Jorge Rady de Almeida","João Batista Camargo","Paulo Sérgio Cugnasca"],"tags":["NetLogo","Computer science","Work (physics)","Air space","Multi-agent system"],"confidence":0.72,"sites":["low-altitude"],"publishedDate":"2021-10-03","doi":"https://doi.org/10.1109/dasc52595.2021.9594507","addedAt":"2026-08-31T14:45:35.251Z","updatedAt":"2026-08-31T14:45:35.251Z"},{"id":"oa:W4402788257","name":"INNOVATIVE ELECTRIC PROPULSION SYSTEM FOR LSA AND EVTOLS AIRCRAFT APPLICATIONS","source":"openalex","abstract":"The design of electric propulsion for aircraft aims to increase efficiency, reliability and reduce emissions and noise in the aeronautical sector.Despite technological challenges related to weight, torque and speed, the research seeks innovative solutions for vertical flight systems and light aircraft, using advanced generators, motors and controllers.The project focuses on developing efficient and lightweight components, overcoming the limitations of conventional batteries, using composite materials and amorphous metals.The expectation is that these innovations will reduce operating costs and position companies as leaders in the electric propulsion segment.The multidisciplinary development of the project, using agile methodologies, aims to transform electric air mobility at a global level.","url":"https://doi.org/10.22533/at.ed.153122420095","authors":["Gabriel Gomes de Carvalho Pereira","Vinicios de Andrade Cardozo","Victor Hugo Carreira","André Luis Bonaventura","João Vitor Penariol Leite","Mauro da Cunha Pinto"],"tags":["Aeronautics","Propulsion","Electrically powered spacecraft propulsion","Aerospace engineering","Engineering"],"confidence":0.72,"sites":["low-altitude"],"publishedDate":"2024-09-23","doi":"https://doi.org/10.22533/at.ed.153122420095","addedAt":"2026-08-31T14:45:35.251Z","updatedAt":"2026-08-31T14:45:35.251Z"},{"id":"oa:W4405149074","name":"Towards a holistic predesign approach using rotor cant of EVTOL aircraft","source":"openalex","abstract":"International audience","url":"https://openalex.org/W4405149074","authors":["Pierre-Marie Basset","Jean-Paul Reddinger","Raphaël Perret","Nathan Beals","Julius M. Vegh"],"tags":["Rotor (electric)","Aeronautics","Automotive engineering","Computer science","Environmental science"],"confidence":0.72,"sites":["low-altitude"],"publishedDate":"2024-09-10","doi":"","addedAt":"2026-08-31T14:45:35.251Z","updatedAt":"2026-08-31T14:45:35.251Z"},{"id":"oa:W4285891898","name":"A Data-Driven Approach for Performance Evaluation of Autonomous eVTOLs","source":"openalex","abstract":"In this paper, we develop a data-driven performance-based evaluation framework for a novel electric vertical takeoff and landing aircraft (eVTOL) in the context of Urban Air Mobility (UAM) applications. First, a two-stage comprehensive simulation framework is developed to generate a benchmark database for the performance evaluation of both UAS Traffic Management (UTM) algorithms and high-fidelity eVTOL dynamical models. In the developed simulation framework, we implement UTM algorithms and incorporate real-world constraints, e.g., vertiport infrastructures and different wind conditions. From the developed simulation framework, we generate 1,213,010 flight profiles. These flight profiles are used in a model based eVTOL performance evaluation tool as inputs to compute the physical performance of 3 types of eVTOLs. Due to the high computational cost of model-based eVTOL performance evaluation approaches, a clustering-based sampling procedure is employed to reduce the redundancy in the generated flight profiles and utilize the re-sampled flight profiles to form an eVTOL performance analysis dataset. We then train and compare several machine learning models on the eVTOL performance analysis dataset to predict: performance variables-flight conditions, aerodynamic coefficients, aircraft electronics, electric motor and propeller efficiencies. Finally, we deploy the proposed data-driven models in the framework and reduce the eVTOL performance inference time to real-time. The implementation of the proposed framework can be found on GitHub: https://github.com/mrinmoysarkar/eVTOL_performance_evaluation.git","url":"https://doi.org/10.36227/techrxiv.20327208.v1","authors":["Mrinmoy Sarkar","Xuyang Yan","Biniam Gebru","Abdul-Rauf Nuhu","Kishor Datta Gupta","Kyriakos G. Vamvoudakis","Abdollah Homaifar"],"tags":["Computer science","Benchmark (surveying)","Cluster analysis","Redundancy (engineering)","Context (archaeology)"],"confidence":0.72,"sites":["low-altitude"],"publishedDate":"2022-07-19","doi":"https://doi.org/10.36227/techrxiv.20327208.v1","addedAt":"2026-08-31T14:45:35.251Z","updatedAt":"2026-08-31T14:45:35.251Z"},{"id":"oa:W4388097604","name":"The role of Human-Centered Design in Advanced Air Mobility implementation process","source":"openalex","abstract":"AAM (Advanced Air Mobility) is an emerging field in aviation that focuses on developing AAM / electric vertical takeoff and landing (eVTOL) aircraft for urban air mobility. Human-centered design can be used in AAM to provide an advanced emerging environment of the eVTOL aircraft and its operating environment, allowing for a more efficient and cost-effective development process – focusing on the human factors/ergonomics, training, certification, and qualification. Purdue School of Aviation and Transportation Technology proposed a research case study for digital twins in AAM that aims at designing and remote testing prototypes - eVTOL aircraft simulator devices. By creating a digital twin of the AAM flying/simulator device, designers (Purdue Human Factors team – CAE network) and Subject Matter Experts (SMEs) aim to test different configurations and scenarios, allowing the research team to identify human factor – certification – training issues and optimize performance (Training – Certification requirements) before the physical prototype is built. Results were analyzed and evaluated the Artificial Intelligence (AI) certification and learning assurance challenges.","url":"https://doi.org/10.54941/ahfe1004332","authors":["Abner Flores","Dimitrios Ziakkas","Jean Delisle"],"tags":["Certification","Aviation","Takeoff","Process (computing)","Computer science"],"confidence":0.72,"sites":["low-altitude"],"publishedDate":"2023-01-01","doi":"https://doi.org/10.54941/ahfe1004332","addedAt":"2026-08-31T14:45:35.251Z","updatedAt":"2026-08-31T14:45:35.251Z"},{"id":"oa:W4382364961","name":"An Experimental Investigation of eVTOL Flight State Variance on Noise","source":"openalex","abstract":"Experimental data collected for a custom multirotor aircraft are used to perform an analysis to relate the variability of noise levels measured on the ground to the state vector of the vehicle in hover. Data from a total of sixty-nine hover points are used to correlate the aircraft state to A-weighted Sound Pressure Levels measured at a microphone located directly underneath the aircraft. A spherical spreading normalization is applied to the data to allow data collected from different altitudes to be compared to one another. Noise levels are found to increase as vehicle attitude (orientation) and attitude rates diverge from the trim condition. The noise was found to be most sensitive to changes in yaw or yaw rate. Conversely, the noise was found to decrease as the commanded thrust of the vehicle increased. Additional analysis indicates that the mean A-weighted Sound Pressure Level increases when the variability of the vehicle flight condition is increased.","url":"https://doi.org/10.4050/f-0079-2023-1249","authors":["Vítor Tumelero Valente","Eric Johnson","Eric Greenwood"],"tags":["Noise (video)","Sound pressure","Microphone","Trim","Thrust"],"confidence":0.72,"sites":["low-altitude"],"publishedDate":"2023-05-16","doi":"https://doi.org/10.4050/f-0079-2023-1249","addedAt":"2026-08-31T14:45:35.251Z","updatedAt":"2026-08-31T14:45:35.251Z"},{"id":"doi:10.1109/dasc52595.2021.9594309","name":"eVTOL Fleet Selection Method for Vertiport Networks","source":"crossref","abstract":"","url":"https://doi.org/10.1109/dasc52595.2021.9594309","authors":["Jasenka Rakas","Jeffrey Jeung","Duston So","Paul Ambrose","Valeria Chupina"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2021-11-15T22:56:19Z","doi":"10.1109/dasc52595.2021.9594309","addedAt":"2026-08-31T14:45:35.251Z","updatedAt":"2026-08-31T14:45:35.251Z"},{"id":"doi:10.4271/as8049b","name":"Performance Standard for Seats in Civil Rotorcraft, Transport Aircraft, and General Aviation Aircraft","source":"crossref","abstract":"&lt;div class=\"section abstract\"&gt; &lt;div class=\"htmlview paragraph\"&gt;This SAE Aerospace Standard (AS) defines minimum performance standards, qualification requirements, and minimum documentation requirements for passenger and crew seats in civil rotorcraft, transport aircraft, and general aviation aircraft. The goal is to achieve comfort, durability, and occupant protection under normal operational loads and to define test and evaluation criteria to demonstrate occupant protection when a seat/occupant/restraint system is subjected to statically applied ultimate loads and to dynamic impact test conditions set forth in the applicable Federal Regulations 14 CFR 23, 25, 27, or 29.&lt;/div&gt; &lt;div class=\"htmlview paragraph\"&gt;Guidance for test procedures, measurements, equipment, and interpretation of results is also presented to promote uniform techniques and to achieve acceptable data.&lt;/div&gt; &lt;div class=\"htmlview paragraph\"&gt;While this document addresses system performance, responsibility for the seating system is divided between the seat supplier and the installation applicant. The seat supplier's responsibility consists of meeting all the seat system performance requirements and obtaining and supplying to the installation applicant all the data prescribed by this document. The installation applicant has the ultimate system responsibility in assuring that all requirements for safe seat installation have been met.&lt;/div&gt;&lt;/div&gt;","url":"https://doi.org/10.4271/as8049b","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2017-02-27T10:06:55Z","doi":"10.4271/as8049b","addedAt":"2026-08-31T14:45:35.252Z","updatedAt":"2026-08-31T14:45:35.252Z"},{"id":"doi:10.4271/as8049c","name":"Performance Standard for Seats in Civil Rotorcraft, Transport Aircraft, and General Aviation Aircraft","source":"crossref","abstract":"&lt;div class=\"section abstract\"&gt; &lt;div class=\"htmlview paragraph\"&gt;This SAE Aerospace Standard (AS) defines minimum performance standards, qualification requirements, and minimum documentation requirements for passenger and crew seats in civil rotorcraft, transport aircraft, and general aviation aircraft. The goal is to achieve comfort, durability, and occupant protection under normal operational loads and to define test and evaluation criteria to demonstrate occupant protection when a seat/occupant/restraint system is subjected to statically applied ultimate loads and to dynamic impact test conditions set forth in the applicable Federal Regulations 14 CFR 23, 25, 27, or 29.&lt;/div&gt; &lt;div class=\"htmlview paragraph\"&gt;Guidance for test procedures, measurements, equipment, and interpretation of results is also presented to promote uniform techniques and to achieve acceptable data.&lt;/div&gt; &lt;div class=\"htmlview paragraph\"&gt;While this document addresses system performance, responsibility for the seating system is divided between the seat supplier and the installation applicant. The seat supplier's responsibility consists of meeting all the seat system performance requirements and obtaining and supplying to the installation applicant all the data prescribed by this document. The installation applicant has the ultimate system responsibility in assuring that all requirements for safe seat installation have been met.&lt;/div&gt;&lt;/div&gt;","url":"https://doi.org/10.4271/as8049c","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2017-02-14T13:50:02Z","doi":"10.4271/as8049c","addedAt":"2026-08-31T14:45:35.252Z","updatedAt":"2026-08-31T14:45:35.252Z"},{"id":"doi:10.4271/as8049a","name":"Performance Standard for Seats in Civil Rotorcraft, Transport Aircraft, and General Aviation Aircraft","source":"crossref","abstract":"&lt;div class=\"section abstract\"&gt; &lt;div class=\"htmlview paragraph\"&gt;This SAE Aerospace Standard (AS) defines minimum performance standards, qualification requirements, and minimum documentation requirements for passenger and crew seats in civil rotorcraft, transport aircraft, and general aviation aircraft. The goal is to achieve comfort, durability, and occupant protection under normal operational loads and to define test and evaluation criteria to demonstrate occupant protection when a seat/occupant/restraint system is subjected to statically applied ultimate loads and to dynamic impact test conditions set forth in the applicable Federal Regulations 14 CFR Part 23, Part 25, Part 27, or Part 29.&lt;/div&gt; &lt;div class=\"htmlview paragraph\"&gt;This document also provides guidance for design by enumerating certain design goals to enhance comfort, serviceability, and safety. Guidance for test procedures, measurements, equipment, and interpretation of results is presented to promote uniform techniques and to achieve acceptable data.&lt;/div&gt; &lt;div class=\"htmlview paragraph\"&gt;While this document addresses system performance, responsibility for the seating system is divided between the seat supplier and the installation applicant. The seat supplier's responsibility consists of meeting all the seat system performance requirements and obtaining and supplying to the installation applicant all the data prescribed by this document. The installation applicant has the ultimate system responsibility in assuring that all requirements for safe seat installation have been met.&lt;/div&gt;&lt;/div&gt;","url":"https://doi.org/10.4271/as8049a","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2017-03-03T11:27:28Z","doi":"10.4271/as8049a","addedAt":"2026-08-31T14:45:35.252Z","updatedAt":"2026-08-31T14:45:35.252Z"},{"id":"doi:10.55753/aev.v35e52.35","name":"Considerações iniciais sobre a regulamentação de ruído para aeronaves eVTOL","source":"crossref","abstract":"A busca por novas soluções de mobilidade urbana deu origem a propostas de aeronaves elétricas de pequeno porte com capacidade de decolagem e pouso na vertical (eVTOL) para o transporte de passageiros e bens. Previstos para operarem em centros urbanos, estas aeronaves e suas operações precisam ser cuidadosamente regulamentadas em aspectos como segurança de voo e o impacto sonoro para garantir sua aceitação na comunidade. A considerável diferença entre aeronaves convencionais e suas operações em aeródromos e aeronaves eVTOL e suas operações no ambiente urbano é analisada apresentando-se algumas das principais características de 50 projetos de aeronaves eVTOL que possam ser de relevância na regulamentação destas aeronaves e suas operações. Para contextualização e comparação apresenta-se um breve resumo considerando aeronaves e aeródromos convencionais. A partir da análise de artigos científicos, whitepapers e documentos de natureza regulamentar, explana-se o estado atual da regulamentação de aeronaves eVTOL, dando ênfase nas questões que potencialmente tenham relevância para a regulamentação de ruído que ainda está em fase de desenvolvimento. Conclui-se que atualmente há poucos elementos base para uma regulamentação de ruído deste novo tipo de aeronaves e operações, mas que projetos de aeronaves e propostas de regulamentação parecem estar alinhados com critérios para regulamentação de helicópteros de pequeno porte e aeronaves com rotores basculantes. Contudo, basear-se extensivamente na regulamentação estas duas classes de aeronaves não parece ser a melhor estratégia a ser adotada pelas autoridades aeronáuticas competentes, pelas diferenças que existem no que concerne características das emissões sonoras e procedimentos de operação. Neste sentido os autores dão sugestões que possa nortear esforços de pesquisa para apoiar o processo de regulamentação.","url":"https://doi.org/10.55753/aev.v35e52.35","authors":["Stephan Paul","Matheus de Lorenzo","Júlio Cordioli"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2022-03-30T14:11:35Z","doi":"10.55753/aev.v35e52.35","addedAt":"2026-08-31T14:45:35.252Z","updatedAt":"2026-08-31T14:45:35.252Z"},{"id":"doi:10.4271/2023-01-7116","name":"Overview and Research on Airworthiness and Safety of Electrical\n                    Propulsion and Battery Technologies in eVTOL","source":"crossref","abstract":"&lt;div class=\"section abstract\"&gt;&lt;div class=\"htmlview paragraph\"&gt;This overview and study article scrutinizes the evolution and challenges of electric vertical takeoff and landing aircraft (eVTOL), with a primary focus on airworthiness and safety certification. The paper discusses key issues such as high-energy-density aviation-grade batteries and the light weighting of electrical propulsion systems. Utilizing scientific models and real-world data, the study outlines the required battery technology and electrical propulsion specifications for eVTOLs with effective commercial load capabilities. For eVTOLs operating in the 300 km range, aviation-grade batteries must achieve energy densities between 300-600 wh/kg. For those covering a 600 km range, the energy density requirements exceed 600 wh/kg. Compliance with stringent safety standards, including triple certification by the FAA under 14 CFR Part 23, is imperative. This article conducted research and offered flowchart of the complicated FAA standard, which is rare in existing articles. This article also proposed better platform which is more conducive to testing the propulsion and battery systems as well as the overall design of electric aircraft, especially eVTOLs. By establishing this more advanced platform, we aim to engage industrial partners both in China and internationally in various aspects such as propulsion technology, battery and material technology, and the overall design, manufacturing, and operation of eVTOL to meet airworthiness and safety requirements.&lt;/div&gt;&lt;/div&gt;","url":"https://doi.org/10.4271/2023-01-7116","authors":["Xin Ma","Shuiting Ding"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-12-30T21:15:40Z","doi":"10.4271/2023-01-7116","addedAt":"2026-08-31T14:45:35.252Z","updatedAt":"2026-08-31T14:45:35.252Z"},{"id":"doi:10.2514/6.2023-2107","name":"GPU-accelerated simulations for eVTOL aerodynamic analysis","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2023-2107","authors":["Vito Pasquariello","Yannick Bunk","Sebastian Eberhardt","Pei-Hsuan Huang","Jan Matheis","Matteo Ugolotti","Stefan Hickel"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-01-21T01:59:16Z","doi":"10.2514/6.2023-2107","addedAt":"2026-08-31T14:45:35.252Z","updatedAt":"2026-08-31T14:45:35.252Z"},{"id":"doi:10.4271/2023-01-1015","name":"Power Supply Solutions to Enable the Development of eVTOL\n                    Aircrafts","source":"crossref","abstract":"&lt;div class=\"section abstract\"&gt;&lt;div class=\"htmlview paragraph\"&gt;The aerospace industry is undergoing a revolution with the large-scale development of eVTOL (Electric Vertical Take-Off &amp;amp; Landing) and MEA (More Electric Aircraft). These aerial vehicles, many of them unmanned vehicles (UAV), will serve a variety of service-related functions: Search and Rescue (SAR), Medivac, delivery and lift operations, aerial mapping, and, of course, human transportation [&lt;span class=\"xref\"&gt;1&lt;/span&gt;].&lt;/div&gt;&lt;div class=\"htmlview paragraph\"&gt;Despite its numerous functionalities, this type of vehicle has a serious problem, which is its usual batteries, the main means for its operation. Due to its autonomy not being so effective compared to its charging time, generating a considerable loss of time. In this context, it is necessary to find forms of components that can replace these batteries, so that the effective development of these vehicles is possible.&lt;/div&gt;&lt;div class=\"htmlview paragraph\"&gt;Studies done in other means of transportation point out that the use of hydrogen fuel cells has grown a lot. In this way, it is known that this type of fuel is seen as something of the future, but many companies have evaluated the possibility of implementation in cars, trains, and even airplanes. Therefore, a literature review will be presented about this new type of technology, demonstrating its advantages and its use. Finally, after careful analysis of the issues highlighted throughout the article, the best effective solution for replacing the batteries will be presented, a component that has caused major problems for the developers of this new aircraft [&lt;span class=\"xref\"&gt;28&lt;/span&gt;].&lt;/div&gt;&lt;/div&gt;","url":"https://doi.org/10.4271/2023-01-1015","authors":["Ugo Ibusuki","Vinicius Mafra Viti"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-03-10T12:16:16Z","doi":"10.4271/2023-01-1015","addedAt":"2026-08-31T14:45:35.252Z","updatedAt":"2026-08-31T14:45:35.252Z"},{"id":"doi:10.4050/f-0076-2020-16297","name":"eVTOL Accretion Modeling for Supporting Algorithmic Icing Detection","source":"crossref","abstract":"eVTOL aircraft operating within the air transportation system will undoubtably be exposed to inclement and adverse weather conditions, which may well include operation in icing conditions, whether planned or encountered inadvertently. Design compromises necessary to provide VTOL operations may make continued operation in an icing environment particularly challenging, especially for eVTOL aircraft having only limited excess power for operation of anti-icing or deicing equipment. This paper describes a research program to assess the impact of accreted icing on the performance of eVTOL aircraft, as part of a program for implementation of an Icing Detection Filter that leverages detailed knowledge of that performance impact on the distributed electrical propulsion and lift systems on the vehicle. Modeling approaches for prediction of icing accretion and the associated performance losses, particularly as they can be measured through monitoring of the onboard electrical power system, are described.","url":"https://doi.org/10.4050/f-0076-2020-16297","authors":["Robert Jr.","Andrew Kaufman","Todd Quackenbush"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-07-11T15:51:17Z","doi":"10.4050/f-0076-2020-16297","addedAt":"2026-08-31T14:45:35.252Z","updatedAt":"2026-08-31T14:45:35.252Z"},{"id":"doi:10.4271/2023-01-7101","name":"Safe Architecture Design of Flight Control System for\n                    eVTOL","source":"crossref","abstract":"&lt;div class=\"section abstract\"&gt;&lt;div class=\"htmlview paragraph\"&gt;Advanced flight control system, aviation battery and motor technologies are driving the rapid development of eVTOL to offer possibilities for Urban Air Mobility. The safety and airworthiness of eVTOL aircraft and systems are the critical issues to be considered in eVTOL design process. Regarding to the flight control system, its complexity of design and interfaces with other airborne systems require detailed safety assessment through the development process. Based on SAE ARP4754A, a forward architecture design process with comprehensive safety assessment is introduced to achieve complete safety and hazard analysis. The new features of flight control system for eVTOL are described to start function capture and architecture design. Model-based system engineering method is applied to establish the functional architecture in a traceable way. SFHA and STPA methods are applied in a complementary way to identify the potential safety risk caused by failure and unsafe control action. PSSA with FTA assists to allocate safety requirements and modify the architecture of flight control system. Through the practice of safety-oriented architecture design of flight control system for eVTOL, safety requirements are identified, and related modifications and design are implemented to optimize the system architecture design. Comparing to the safety assessment method with only ARP4761 methods, the combination of ARP4761 and STPA will extend the perspective to deal with potential unsafety issues. Hazards caused by random failure and incorrected control are all tackled. The work of this paper can serve as a useful reference for the system safety assessment and architecture design for eVTOL and airborne systems.&lt;/div&gt;&lt;/div&gt;","url":"https://doi.org/10.4271/2023-01-7101","authors":["Chengwei Ning","Hao Zhang","Haimin Weng","Ran Ma"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-12-30T21:15:40Z","doi":"10.4271/2023-01-7101","addedAt":"2026-08-31T14:45:35.252Z","updatedAt":"2026-08-31T14:45:35.252Z"},{"id":"doi:10.1109/itec53557.2022.9813964","name":"An investigation into different eVTOL propulsion thermal management concepts using advanced 1-D simulation methods","source":"crossref","abstract":"","url":"https://doi.org/10.1109/itec53557.2022.9813964","authors":["Lee Rogers","Thomas Holdstock"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2022-07-07T19:31:38Z","doi":"10.1109/itec53557.2022.9813964","addedAt":"2026-08-31T14:45:35.252Z","updatedAt":"2026-08-31T14:45:35.252Z"},{"id":"doi:10.4050/f-0077-2021-16778","name":"Panel-Method-Based Path Planning for eVTOL in Urban Environment","source":"crossref","abstract":"In this study the panel method used in fluid dynamics, is applied to the path planning problem of electric vertical take-off and landing (eVTOL) vehicles in urban environment. For an urban air mobility scenario the path planning problem of these vehicles includes the simultaneous operation of large number of vehicles around complex shaped buildings and architectural structures. Using the panel method, flow around complex shaped obstacles is modeled and calculated stream-lines of the fluid flow are used as trajectories for the eVTOL traffic. Since, streamlines do not cross each other or obstacles, using streamlines as vehicle trajectories guarantees collision free paths for vehicles. Moreover, source and sink elements are used to avoid collision of vehicles with each other in case of emergency, and attract the vehicles to target points. The application of panel method provides a solution to the whole path planning problem for multiple vehicles in a single step. Assuming complete knowledge of the city map, the path of each eVTOL vehicle in an air taxi fleet can be determined simultaneously.","url":"https://doi.org/10.4050/f-0077-2021-16778","authors":["Zeynep Unal","Ilkay Yavrucuk"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2022-10-20T17:57:50Z","doi":"10.4050/f-0077-2021-16778","addedAt":"2026-08-31T14:45:35.252Z","updatedAt":"2026-08-31T14:45:35.252Z"},{"id":"doi:10.58286/30991","name":"Application of acoustic emission technology in the localization and diagnostics of abnormal noise sources in aircraft structural fatigue test","source":"crossref","abstract":"The occurrence of abnormal noises during aircraft structural testing indicates an abnormal state of the test specimen. Accurately locating the source of the noise and taking timely measures are crucial for the smooth progress of the test. A rapid localization and diagnostic scheme for abnormal noise sources in aircraft structural tests has been proposed, utilizing the positioning capabilities of acoustic emission technology, which incorporates various localization techniques of acoustic emission technology. The application in the fatigue test of a certain aircraft's vertical tail indicates that a limited number of channels can quickly and accurately pinpoint the source of the abnormal noise, providing a basis for decision-making for engineering technicians to further address the issue.","url":"https://doi.org/10.58286/30991","authors":["Hailong Yang","Yu Yang","Ruiyuan Wang","Qian Wang","Yipeng Ren","Gang Liu","Guoqiang Liu"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2025-04-23T14:28:51Z","doi":"10.58286/30991","addedAt":"2026-08-31T14:45:35.252Z","updatedAt":"2026-08-31T14:45:35.252Z"},{"id":"doi:10.4050/f-0075-2019-14506","name":"Computational Analysis of Rotor-Blown-Wing for eVTOL Applications","source":"crossref","abstract":"This study examines the performance of a rotor-blown-wing in hover and forward flight conditions. Flow solutions were generated using Helios, with a Detached Eddy Simulation (DES) model. The configuration is based on one set of rotors/wing of a quadrotor bi-plane tail-sitter aircraft. Simulations were conducted to assess the effect of varying angle of attack, rotor RPM, and rotor diameter. Two configurations were examined, the RBW baseline with two 60.96 cm diameter rotors, and the RRR configuration with four 30.48 cm diameter rotors. The smaller rotors were analyzed at the RPM corresponding to producing half the thrust of the RBW baseline rotor. The presence of the wing in hover resulted in the RBW baseline rotor operating at 1.9 percent lower power loading than the same rotor in isolation. In comparison, the RRR configuration reduced power loading by 13.6 percent compared to the isolated rotor. In forward flight (airplane mode), increasing angle of attack was shown to increase thrust produced on the downstroke side of the rotor. Furthermore, the presence of the wing increases the thrust produced on the bottom half of the disk. Both the blown-wings increase the L/D ratio from 3.2 for the isolated wing to 3.6 and 4.3 for the RBW baseline and RRR configurations respectively.","url":"https://doi.org/10.4050/f-0075-2019-14506","authors":["Matthew Misiorowski","Phuriwat Anusonti-Inthra","Farhan Gandhi"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-07-21T14:29:16Z","doi":"10.4050/f-0075-2019-14506","addedAt":"2026-08-31T14:45:35.252Z","updatedAt":"2026-08-31T14:45:35.252Z"},{"id":"doi:10.2514/6.2019-1218","name":"Large-scale design-economics optimization of eVTOL concepts for urban air mobility","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2019-1218","authors":["Tae H. Ha","Keunseok Lee","John T. Hwang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2019-01-07T05:52:39Z","doi":"10.2514/6.2019-1218","addedAt":"2026-08-31T14:45:35.252Z","updatedAt":"2026-08-31T14:45:35.252Z"},{"id":"doi:10.4016/30718.01","name":"gear repairs","source":"crossref","abstract":"","url":"https://doi.org/10.4016/30718.01","authors":["Gear Aircraft","Gear Aircraft"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2011-05-28T06:38:28Z","doi":"10.4016/30718.01","addedAt":"2026-08-31T14:45:35.252Z","updatedAt":"2026-08-31T14:45:35.252Z"},{"id":"doi:10.4271/as8049/1b","name":"Performance Standards for Side-Facing Seats in Civil Rotorcraft, Transport Aircraft, and General Aviation Aircraft","source":"crossref","abstract":"&lt;div class=\"section abstract\"&gt; &lt;div class=\"htmlview paragraph\"&gt;This SAE Aerospace Standard (AS) defines Minimum Performance Standards (MPS), qualification requirements, and minimum documentation requirements for side-facing seats in civil rotorcraft, transport aircraft, and general aviation aircraft. The goal is to achieve comfort, durability, and occupant protection under normal operational loads and to define test and evaluation criteria to demonstrate occupant protection when a side-facing seat/occupant/restraint system is subjected to statically applied ultimate loads and to dynamic test conditions set forth in Title 14, Code of Federal Regulations (CFR) Part 23, 25, 27, or 29.&lt;/div&gt; &lt;div class=\"htmlview paragraph\"&gt;While this document addresses system performance, responsibility for the seating system is divided between the seat supplier and the installation applicant. The seat supplier’s responsibility consists of meeting all the seat system performance requirements and obtaining and supplying to the installation applicant all the data prescribed by this document. The installation applicant has the final responsibility in assuring that all requirements for safe seat installation have been met.&lt;/div&gt;&lt;/div&gt;","url":"https://doi.org/10.4271/as8049/1b","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2017-02-13T13:05:01Z","doi":"10.4271/as8049/1b","addedAt":"2026-08-31T14:45:35.252Z","updatedAt":"2026-08-31T14:45:35.252Z"},{"id":"doi:10.2514/5.9781600867538.0000.0000","name":"Fundamentals of Aircraft and Airship Design","source":"crossref","abstract":"","url":"https://doi.org/10.2514/5.9781600867538.0000.0000","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2012-09-14T18:31:13Z","doi":"10.2514/5.9781600867538.0000.0000","addedAt":"2026-08-31T14:45:35.252Z","updatedAt":"2026-08-31T14:45:35.252Z"},{"id":"doi:10.4271/as8043b","name":"Restraint Systems for Civil Aircraft","source":"crossref","abstract":"&lt;div class=\"section abstract\"&gt; &lt;div class=\"htmlview paragraph\"&gt;This SAE Aerospace Standard (AS) specifies laboratory test procedures and minimum requirements for the manufacturer of restraint systems for use in civil aircraft. It is intended to establish a minimum level of quality which can be called upon by the designer of those systems. However, compliance with this standard alone may not assure adequate performance of the restraint system under normal and emergency conditions. Such performance requires consideration of factors beyond the scope of this standard, and must be demonstrated by a system evaluation procedure which includes the seat, the occupant, the specific restraint installation and the cabin interior configuration. This standard specifies the requirements for Type 1, Type 2, and Type 3 restraint systems.&lt;/div&gt; &lt;div class=\"htmlview paragraph\"&gt;Buckles that release automatically or through any means other than the direct action of the fingers or thumb on the buckle are beyond the scope of this standard.&lt;/div&gt;&lt;/div&gt;","url":"https://doi.org/10.4271/as8043b","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2017-02-23T11:16:23Z","doi":"10.4271/as8043b","addedAt":"2026-08-31T14:45:35.252Z","updatedAt":"2026-08-31T14:45:35.252Z"},{"id":"doi:10.4271/air1609","name":"AIRCRAFT HUMIDIFICATION","source":"crossref","abstract":"&lt;div class=\"section abstract\"&gt; &lt;div class=\"htmlview paragraph\"&gt;This report covers the design parameters for various methods of humidification applicable to aircraft, the physiological aspects of low humidities, the possible benefits of controlling cabin humidity, the penalties associated with humidification, and the problems which must be solved for practical aircraft humidification systems. The design information is applicable to commercial and military aircraft. The physiological aspects cover all aircraft environmental control applications.&lt;/div&gt;&lt;/div&gt;","url":"https://doi.org/10.4271/air1609","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2017-03-13T09:30:11Z","doi":"10.4271/air1609","addedAt":"2026-08-31T14:45:35.252Z","updatedAt":"2026-08-31T14:45:35.252Z"},{"id":"doi:10.4271/air5487","name":"Aircraft Tire History","source":"crossref","abstract":"&lt;div class=\"section abstract\"&gt; &lt;div class=\"htmlview paragraph\"&gt;This SAE Aerospace Information Report (AIR), is intended to provide a continuum on historical development of aircraft tires.&lt;/div&gt;&lt;/div&gt;","url":"https://doi.org/10.4271/air5487","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2017-03-01T12:58:50Z","doi":"10.4271/air5487","addedAt":"2026-08-31T14:45:35.252Z","updatedAt":"2026-08-31T14:45:35.252Z"},{"id":"doi:10.1109/peci48348.2020.9064631","name":"Conceptual Design of an eVTOL Air Shuttle for Rapid Intercity Transport","source":"crossref","abstract":"","url":"https://doi.org/10.1109/peci48348.2020.9064631","authors":["Jianqiao Xiao","Noah Salk","Kiruba Haran"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2020-04-14T06:58:17Z","doi":"10.1109/peci48348.2020.9064631","addedAt":"2026-08-31T14:45:35.252Z","updatedAt":"2026-08-31T14:45:35.252Z"},{"id":"doi:10.4271/as8043c","name":"Restraint Systems for Civil Aircraft","source":"crossref","abstract":"&lt;div class=\"section abstract\"&gt; &lt;div class=\"htmlview paragraph\"&gt;This SAE Aerospace Standard (AS) specifies laboratory test procedures and minimum requirements for the manufacturer of restraint systems for use in civil aircraft. It is intended to establish a minimum level of quality which can be called upon by the designer of those systems. However, compliance with this standard alone may not assure adequate performance of the restraint system under normal and emergency conditions. Such performance requires consideration of factors beyond the scope of this standard, and must be demonstrated by a system evaluation procedure which includes the seat, the occupant, the specific restraint installation, and the cabin interior configuration. This standard specifies the requirements for Type 1, Type 2, and Type 3 restraint systems.&lt;/div&gt; &lt;div class=\"htmlview paragraph\"&gt;Buckles that release automatically or through any means other than the direct action of the fingers or thumb on the buckle are beyond the scope of this standard.&lt;/div&gt;&lt;/div&gt;","url":"https://doi.org/10.4271/as8043c","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-05-17T22:15:30Z","doi":"10.4271/as8043c","addedAt":"2026-08-31T14:45:35.252Z","updatedAt":"2026-08-31T14:45:35.252Z"},{"id":"doi:10.4271/air1609a","name":"Aircraft Humidification","source":"crossref","abstract":"&lt;div class=\"section abstract\"&gt; &lt;div class=\"htmlview paragraph\"&gt;This SAE Aerospace Information Report (AIR) covers the design parameters for various methods of humidification applicable to aircraft, the physiological aspects of low humidities, the possible benefits of controlling cabin humidity, the penalties associated with humidification, and the problems which must be solved for practical aircraft humidification systems. The design information is applicable to commercial and military aircraft. The physiological aspects cover all aircraft environmental control applications.&lt;/div&gt; &lt;/div&gt;","url":"https://doi.org/10.4271/air1609a","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2017-02-27T10:08:37Z","doi":"10.4271/air1609a","addedAt":"2026-08-31T14:45:35.252Z","updatedAt":"2026-08-31T14:45:35.252Z"},{"id":"doi:10.4271/as8049/1a","name":"Performance Standards for Side-Facing Seats in Civil Rotorcraft, Transport Aircraft, and General Aviation Aircraft","source":"crossref","abstract":"&lt;div class=\"section abstract\"&gt; &lt;div class=\"htmlview paragraph\"&gt;This SAE Aerospace Standard (AS) defines Minimum Performance Standards (MPS), qualification requirements, and minimum documentation requirements for side-facing seats in civil rotorcraft, transport aircraft, and general aviation aircraft. The goal is to achieve comfort, durability, and occupant protection under normal operational loads and to define test and evaluation criteria to demonstrate occupant protection when a side-facing seat/occupant/restraint system is subjected to statically applied ultimate loads and to dynamic test conditions set forth in Title 14, Code of Federal Regulations (CFR) Part 23, 25, 27, or 29.&lt;/div&gt; &lt;div class=\"htmlview paragraph\"&gt;While this document addresses system performance, responsibility for the seating system is divided between the seat supplier and the installation applicant. The seat supplier’s responsibility consists of meeting all the seat system performance requirements and obtaining and supplying to the installation applicant all the data prescribed by this document. The installation applicant has the final responsibility in assuring that all requirements for safe seat installation have been met.&lt;/div&gt;&lt;/div&gt;","url":"https://doi.org/10.4271/as8049/1a","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2017-02-13T13:05:01Z","doi":"10.4271/as8049/1a","addedAt":"2026-08-31T14:45:35.252Z","updatedAt":"2026-08-31T14:45:35.252Z"},{"id":"doi:10.4050/f-0079-2023-18132","name":"Feasibility Study on the Tender eVTOL Vehicle (TeV) for Range Extension","source":"crossref","abstract":"","url":"https://doi.org/10.4050/f-0079-2023-18132","authors":["Yu Ito","Takaaki Adachi"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-06-26T11:49:07Z","doi":"10.4050/f-0079-2023-18132","addedAt":"2026-08-31T14:45:35.252Z","updatedAt":"2026-08-31T14:45:35.252Z"},{"id":"doi:10.4271/air5487b","name":"Aircraft Tire History","source":"crossref","abstract":"&lt;div class=\"section abstract\"&gt; &lt;div class=\"htmlview paragraph\"&gt;This SAE Aerospace Information Report (AIR), is intended to provide a continuum on historical development of aircraft tires.&lt;/div&gt;&lt;/div&gt;","url":"https://doi.org/10.4271/air5487b","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2017-02-20T15:19:36Z","doi":"10.4271/air5487b","addedAt":"2026-08-31T14:45:35.252Z","updatedAt":"2026-08-31T14:45:35.252Z"},{"id":"doi:10.4271/as8043a","name":"Restraint Systems for Civil Aircraft","source":"crossref","abstract":"&lt;div class=\"section abstract\"&gt; &lt;div class=\"htmlview paragraph\"&gt;This SAE Aerospace Standard (AS) specifies laboratory test procedures and minimum requirements for the manufacturer of restraint systems for use in civil aircraft. It is intended to establish a minimum level of quality which can be called upon by the designer of those systems. However, compliance with this standard alone may not assure adequate performance of the restraint system under normal and emergency conditions. Such performance requires consideration of factors beyond the scope of this standard, and must be demonstrated by a system evaluation procedure which includes the seat, the occupant, the specific restraint installation and the cabin interior configuration. This standard specifies the requirements for Type 1, Type 2 and Type 3 restraint systems.&lt;/div&gt;&lt;/div&gt;","url":"https://doi.org/10.4271/as8043a","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2017-03-02T11:53:00Z","doi":"10.4271/as8043a","addedAt":"2026-08-31T14:45:35.252Z","updatedAt":"2026-08-31T14:45:35.252Z"},{"id":"doi:10.4271/arp5526d","name":"Aircraft Seat Design Guidance and Clarifications","source":"crossref","abstract":"&lt;div class=\"section abstract\"&gt; &lt;div class=\"htmlview paragraph\"&gt;This SAE Aerospace Recommended Practice (ARP) documents a common understanding of terms, compliance issues and design criteria to facilitate certification of seat installations specific to Part 25 aircraft. This ARP provides general guidance for seats to be installed in Part 23 aircraft and Parts 27 and 29 rotorcraft and does not specify specific designs or design methods for such certification.&lt;/div&gt;&lt;/div&gt;","url":"https://doi.org/10.4271/arp5526d","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2017-02-14T13:50:01Z","doi":"10.4271/arp5526d","addedAt":"2026-08-31T14:45:35.252Z","updatedAt":"2026-08-31T14:45:35.252Z"},{"id":"doi:10.4271/arp750a","name":"PASSENGER SEAT DESIGN COMMERCIAL TRANSPORT AIRCRAFT","source":"crossref","abstract":"&lt;div class=\"section abstract\"&gt; &lt;div class=\"htmlview paragraph\"&gt;In addition to those aspects of a passenger seat such as comfort and appearance, the passenger seat, whether aft, forward, or side-facing, is the basic link that supports and ties the air transport passenger to the aircraft structure. It is essential that the support and tiedown functions be accomplished in a manner that will provide maximum safety and security during all normal conditions of flight, emergency flight maneuvers and crash landings, whether on land or sea and that these functions not be compromised to attain the comfort and appearance features.&lt;/div&gt;&lt;/div&gt;","url":"https://doi.org/10.4271/arp750a","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2017-03-15T10:40:08Z","doi":"10.4271/arp750a","addedAt":"2026-08-31T14:45:35.252Z","updatedAt":"2026-08-31T14:45:35.252Z"},{"id":"doi:10.4271/arp5526","name":"Aircraft Seat Design Guidance and Clarifications","source":"crossref","abstract":"&lt;div class=\"section abstract\"&gt; &lt;div class=\"htmlview paragraph\"&gt;The goal of this SAE Aerospace Recommended Practice (ARP) is to promote a common understanding of terms, compliance issues and design criteria in order to facilitate certification of seat installations in an aircraft. This document does not specify specific designs or design methods for such certification.&lt;/div&gt;&lt;/div&gt;","url":"https://doi.org/10.4271/arp5526","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2017-02-28T09:57:48Z","doi":"10.4271/arp5526","addedAt":"2026-08-31T14:45:35.252Z","updatedAt":"2026-08-31T14:45:35.252Z"},{"id":"doi:10.4271/air1609b","name":"Aircraft Humidification","source":"crossref","abstract":"&lt;div class=\"section abstract\"&gt; &lt;div class=\"htmlview paragraph\"&gt;This SAE Aerospace Information Report (AIR) covers the design parameters for various methods of humidification applicable to aircraft, the physiological aspects of low humidities, the possible benefits of controlling cabin humidity, the penalties associated with humidification, and the problems which must be solved for practical aircraft humidification systems. The design information is applicable to commercial and military aircraft. The physiological aspects cover all aircraft environmental control applications.&lt;/div&gt; &lt;/div&gt;","url":"https://doi.org/10.4271/air1609b","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2021-01-15T05:05:13Z","doi":"10.4271/air1609b","addedAt":"2026-08-31T14:45:35.252Z","updatedAt":"2026-08-31T14:45:35.252Z"},{"id":"doi:10.4271/air5487a","name":"Aircraft Tire History","source":"crossref","abstract":"&lt;div class=\"section abstract\"&gt; &lt;div class=\"htmlview paragraph\"&gt;This SAE Aerospace Information Report (AIR), is intended to provide a continuum on historical development of aircraft tires.&lt;/div&gt;&lt;/div&gt;","url":"https://doi.org/10.4271/air5487a","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2017-02-27T10:08:37Z","doi":"10.4271/air5487a","addedAt":"2026-08-31T14:45:35.252Z","updatedAt":"2026-08-31T14:45:35.252Z"},{"id":"doi:10.2514/6.2023-1351","name":"Aerodynamic and Acoustic Analysis of a Multi-Rotor eVTOL Configuration","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2023-1351","authors":["Dilhara Jayasundara","Bumseok Lee","James D. Baeder","Jan Goericke","Zoren Habana"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-01-20T21:53:36Z","doi":"10.2514/6.2023-1351","addedAt":"2026-08-31T14:45:35.252Z","updatedAt":"2026-08-31T14:45:35.252Z"},{"id":"doi:10.4050/f-0079-2023-18019","name":"Simulation and Analysis of NASA Lift Plus Cruise eVTOL Crash Test","source":"crossref","abstract":"","url":"https://doi.org/10.4050/f-0079-2023-18019","authors":["Jacob Putnam","Justin Littell"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-06-27T15:50:41Z","doi":"10.4050/f-0079-2023-18019","addedAt":"2026-08-31T14:45:35.252Z","updatedAt":"2026-08-31T14:45:35.252Z"},{"id":"doi:10.2514/6.2023-0146","name":"Large-Scale Multidisciplinary Design Optimization of an eVTOL Aircraft using Comprehensive Analysis","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2023-0146","authors":["Darshan Sarojini","Marius L. Ruh","Anugrah Jo Joshy","Jiayao Yan","Alexander K. Ivanov","Luca Scotzniovsky","Andrew H. Fletcher","Nicholas C. Orndorff","Mark Sperry","Victor E. Gandarillas","Issac Asher","Jeffrey T. Chambers","Hyunjune Gill","Seongkyu Lee","Zeyu Cheng","Gabriel Rodriguez","Shuofeng Zhao","Chris Mi","Thomas Nascenzi","Timothy Cuatt","Tyler F. Winter","Alexandre T. Guibert","Ashley Cronk","Hyunsun A. Kim","Shirley Meng","John T. Hwang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-01-21T01:11:41Z","doi":"10.2514/6.2023-0146","addedAt":"2026-08-31T14:45:35.252Z","updatedAt":"2026-08-31T14:45:35.252Z"},{"id":"doi:10.3403/00136466","name":"Specification for aircraft material. High strength plywood for aircraft","source":"crossref","abstract":"","url":"https://doi.org/10.3403/00136466","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2013-11-13T21:16:03Z","doi":"10.3403/00136466","addedAt":"2026-08-31T14:45:35.252Z","updatedAt":"2026-08-31T14:45:35.252Z"},{"id":"doi:10.3403/03222033","name":"Aircraft ground support equipment. Specific requirements","source":"crossref","abstract":"","url":"https://doi.org/10.3403/03222033","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2013-11-13T21:25:38Z","doi":"10.3403/03222033","addedAt":"2026-08-31T14:45:35.252Z","updatedAt":"2026-08-31T14:45:35.252Z"},{"id":"doi:10.3403/30129469u","name":"Aircraft ground support equipment. Specific requirements","source":"crossref","abstract":"","url":"https://doi.org/10.3403/30129469u","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2015-06-09T19:59:47Z","doi":"10.3403/30129469u","addedAt":"2026-08-31T14:45:35.252Z","updatedAt":"2026-08-31T14:45:35.252Z"},{"id":"doi:10.3403/00136466u","name":"Specification for aircraft material. High strength plywood for aircraft","source":"crossref","abstract":"","url":"https://doi.org/10.3403/00136466u","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2015-06-10T13:10:03Z","doi":"10.3403/00136466u","addedAt":"2026-08-31T14:45:35.252Z","updatedAt":"2026-08-31T14:45:35.252Z"},{"id":"doi:10.1017/cbo9781139161893.005","name":"Aircraft Models","source":"crossref","abstract":"","url":"https://doi.org/10.1017/cbo9781139161893.005","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2013-01-12T16:07:02Z","doi":"10.1017/cbo9781139161893.005","addedAt":"2026-08-31T14:45:35.252Z","updatedAt":"2026-08-31T14:45:35.252Z"},{"id":"doi:10.4271/arp5526e","name":"Aircraft Seat Design Guidance and Clarifications","source":"crossref","abstract":"&lt;div class=\"section abstract\"&gt; &lt;div class=\"htmlview paragraph\"&gt;This SAE Aerospace Recommended Practice (ARP) documents a common understanding of terms, compliance issues, and design criteria to facilitate certification of seat installations specific to Part 25 aircraft. This ARP provides general guidance for seats to be installed in Part 23 aircraft and Parts 27 and 29 rotorcraft and does not specify specific designs or design methods for such certification.&lt;/div&gt;&lt;/div&gt;","url":"https://doi.org/10.4271/arp5526e","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2018-08-24T05:01:26Z","doi":"10.4271/arp5526e","addedAt":"2026-08-31T14:45:35.252Z","updatedAt":"2026-08-31T14:45:35.252Z"},{"id":"doi:10.4271/arp5526a","name":"Aircraft Seat Design Guidance and Clarifications","source":"crossref","abstract":"&lt;div class=\"section abstract\"&gt; &lt;div class=\"htmlview paragraph\"&gt;The goal of this SAE Aerospace Recommended Practice (ARP) is to promote a common understanding of terms, compliance issues and design criteria in order to facilitate certification of seat installations in an aircraft. This ARP does not specify specific designs or design methods for such certification.&lt;/div&gt;&lt;/div&gt;","url":"https://doi.org/10.4271/arp5526a","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2017-02-28T09:57:48Z","doi":"10.4271/arp5526a","addedAt":"2026-08-31T14:45:35.252Z","updatedAt":"2026-08-31T14:45:35.252Z"},{"id":"doi:10.3403/30379472","name":"Aircraft ground support equipment. Specific requirements","source":"crossref","abstract":"","url":"https://doi.org/10.3403/30379472","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2020-10-20T16:30:21Z","doi":"10.3403/30379472","addedAt":"2026-08-31T14:45:35.252Z","updatedAt":"2026-08-31T14:45:35.252Z"},{"id":"doi:10.3403/30386018","name":"Aircraft ground support equipment. Specific requirements","source":"crossref","abstract":"","url":"https://doi.org/10.3403/30386018","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2021-03-09T21:30:17Z","doi":"10.3403/30386018","addedAt":"2026-08-31T14:45:35.252Z","updatedAt":"2026-08-31T14:45:35.252Z"},{"id":"doi:10.4050/f-0079-2023-17951","name":"An Experimental Investigation of eVTOL Flight State Variance on Noise","source":"crossref","abstract":"","url":"https://doi.org/10.4050/f-0079-2023-17951","authors":["Vitor Valente","Eric Greenwood","Eric N.Johnson"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-06-28T17:16:46Z","doi":"10.4050/f-0079-2023-17951","addedAt":"2026-08-31T14:45:35.252Z","updatedAt":"2026-08-31T14:45:35.252Z"},{"id":"doi:10.2514/6.2023-3409","name":"Precision Landing Trajectory Optimization for eVTOL Vehicles with High-Fidelity Aerodynamic Models","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2023-3409","authors":["Yufei Wu","Sabrullah Deniz","Yang Shi","Zhenbo Wang","Daning Huang"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-06-08T11:36:49Z","doi":"10.2514/6.2023-3409","addedAt":"2026-08-31T14:45:35.252Z","updatedAt":"2026-08-31T14:45:35.252Z"},{"id":"doi:10.1016/j.ast.2022.107518","name":"Aerodynamic interaction between tandem overlapping propellers in eVTOL airplane mode flight condition","source":"crossref","abstract":"","url":"https://doi.org/10.1016/j.ast.2022.107518","authors":["Alex Zanotti","Davide Algarotti"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2022-03-29T21:15:36Z","doi":"10.1016/j.ast.2022.107518","addedAt":"2026-08-31T14:45:35.252Z","updatedAt":"2026-08-31T14:45:35.252Z"},{"id":"doi:10.4271/arp5526c","name":"Aircraft Seat Design Guidance and Clarifications","source":"crossref","abstract":"&lt;div class=\"section abstract\"&gt; &lt;div class=\"htmlview paragraph\"&gt;This Aerospace Recommended Practice (ARP) documents a common understanding of terms, compliance issues and design criteria to facilitate certification of seat installations specific to Part 25 aircraft. This ARP provides general guidance for seats to be installed in Part 23 aircraft and Parts 27 and 29 rotorcraft and does not specify specific designs or design methods for such certification.&lt;/div&gt;&lt;/div&gt;","url":"https://doi.org/10.4271/arp5526c","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2017-02-20T15:17:55Z","doi":"10.4271/arp5526c","addedAt":"2026-08-31T14:45:35.252Z","updatedAt":"2026-08-31T14:45:35.252Z"},{"id":"doi:10.4271/arp1915","name":"Aircraft Towbar","source":"crossref","abstract":"&lt;div class=\"section abstract\"&gt; &lt;div class=\"htmlview paragraph\"&gt;This Aerospace Recommended Practice (ARP) outlines the basic general design considerations for aircraft towbars.&lt;/div&gt;&lt;/div&gt;","url":"https://doi.org/10.4271/arp1915","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2017-03-10T10:38:58Z","doi":"10.4271/arp1915","addedAt":"2026-08-31T14:45:35.252Z","updatedAt":"2026-08-31T14:45:35.252Z"},{"id":"doi:10.3403/30122736","name":"Aircraft. Tow bar attachment fittings interface requirements","source":"crossref","abstract":"","url":"https://doi.org/10.3403/30122736","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2013-11-13T22:50:14Z","doi":"10.3403/30122736","addedAt":"2026-08-31T14:45:35.252Z","updatedAt":"2026-08-31T14:45:35.252Z"},{"id":"doi:10.3403/30316702","name":"Aircraft. Tow bar attachment fittings interface requirements","source":"crossref","abstract":"","url":"https://doi.org/10.3403/30316702","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2015-10-16T18:26:41Z","doi":"10.3403/30316702","addedAt":"2026-08-31T14:45:35.252Z","updatedAt":"2026-08-31T14:45:35.252Z"},{"id":"doi:10.4271/arp1915b","name":"Aircraft Towbar","source":"crossref","abstract":"&lt;div class=\"section abstract\"&gt; &lt;div class=\"htmlview paragraph\"&gt;This SAE Aerospace Recommended Practice (ARP) outlines the basic general design considerations for aircraft towbars.&lt;/div&gt;&lt;/div&gt;","url":"https://doi.org/10.4271/arp1915b","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2017-03-03T11:29:06Z","doi":"10.4271/arp1915b","addedAt":"2026-08-31T14:45:35.252Z","updatedAt":"2026-08-31T14:45:35.252Z"},{"id":"doi:10.4271/arp1915a","name":"Aircraft Towbar","source":"crossref","abstract":"&lt;div class=\"section abstract\"&gt; &lt;div class=\"htmlview paragraph\"&gt;This SAE Aerospace Recommended Practice (ARP) outlines the basic general design considerations for aircraft towbars.&lt;/div&gt;&lt;/div&gt;","url":"https://doi.org/10.4271/arp1915a","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2017-03-08T10:34:25Z","doi":"10.4271/arp1915a","addedAt":"2026-08-31T14:45:35.252Z","updatedAt":"2026-08-31T14:45:35.252Z"},{"id":"doi:10.4271/as50141c","name":"Tube, Pneumatic Tire, Aircraft","source":"crossref","abstract":"&lt;div class=\"section abstract\"&gt; &lt;div class=\"htmlview paragraph\"&gt;This SAE Aerospace Standard (AS) establishes requirements for manufacturing, testing, identification, packaging, and quality of tubes for application in commercial and military aircraft wheel assemblies.&lt;/div&gt;&lt;/div&gt;","url":"https://doi.org/10.4271/as50141c","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2023-06-02T22:15:15Z","doi":"10.4271/as50141c","addedAt":"2026-08-31T14:45:35.252Z","updatedAt":"2026-08-31T14:45:35.252Z"},{"id":"doi:10.4271/arp750b","name":"PASSENGER SEAT DESIGN COMMERCIAL TRANSPORT AIRCRAFT","source":"crossref","abstract":"&lt;div class=\"section abstract\"&gt; &lt;div class=\"htmlview paragraph\"&gt;In addition to those aspects of a passenger seat as comfort and appearance, the passenger seat, whether aft, forward or side facing, is the basic link that supports and ties the occupant to the aircraft structure. It is essential that the support and tie down functions be accomplished in a manner that will provide maximum safety during all normal conditions of flight, emergency flight maneuvers and crash landings, whether on land or water, and that these functions are not compromised to attain the comfort and appearance features.&lt;/div&gt;&lt;/div&gt;","url":"https://doi.org/10.4271/arp750b","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2017-03-10T10:40:49Z","doi":"10.4271/arp750b","addedAt":"2026-08-31T14:45:35.252Z","updatedAt":"2026-08-31T14:45:35.252Z"},{"id":"doi:10.1017/cbo9780511584527.016","name":"Typical aircraft noise levels","source":"crossref","abstract":"","url":"https://doi.org/10.1017/cbo9780511584527.016","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2009-12-24T11:45:56Z","doi":"10.1017/cbo9780511584527.016","addedAt":"2026-08-31T14:45:35.252Z","updatedAt":"2026-08-31T14:45:35.252Z"},{"id":"doi:10.4271/as50141a","name":"Tube, Pneumatic Tire, Aircraft","source":"crossref","abstract":"&lt;div class=\"section abstract\"&gt; &lt;div class=\"htmlview paragraph\"&gt;This SAE Aerospace Standard (AS) establishes requirements for manufacturing, testing, identification, packaging, and quality of tubes for application in commercial and military aircraft wheel assemblies.&lt;/div&gt;&lt;/div&gt;","url":"https://doi.org/10.4271/as50141a","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2017-02-27T09:56:53Z","doi":"10.4271/as50141a","addedAt":"2026-08-31T14:45:35.252Z","updatedAt":"2026-08-31T14:45:35.252Z"},{"id":"doi:10.4271/as50141b","name":"Tube, Pneumatic Tire, Aircraft","source":"crossref","abstract":"&lt;div class=\"section abstract\"&gt; &lt;div class=\"htmlview paragraph\"&gt;This SAE Aerospace Standard (AS) establishes requirements for manufacturing, testing, identification, packaging, and quality of tubes for application in commercial and military aircraft wheel assemblies.&lt;/div&gt;&lt;/div&gt;","url":"https://doi.org/10.4271/as50141b","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2017-02-17T09:19:17Z","doi":"10.4271/as50141b","addedAt":"2026-08-31T14:45:35.252Z","updatedAt":"2026-08-31T14:45:35.252Z"},{"id":"doi:10.4271/arp750c","name":"Passenger Seat Design, Commercial Transport Aircraft","source":"crossref","abstract":"The purpose of this aerospace recommended practice (ARP) is to provide design criteria that will lead to seat designs which provide maximum safety for air transportation passengers. It is not the purpose of the ARP to specify design methods or specific designs to be followed in the accomplishment of the stated objectives.","url":"https://doi.org/10.4271/arp750c","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2017-03-02T11:57:43Z","doi":"10.4271/arp750c","addedAt":"2026-08-31T14:45:35.252Z","updatedAt":"2026-08-31T14:45:35.252Z"},{"id":"doi:10.1016/s1369-8869(00)00022-7","name":"Aircraft design education in Europe","source":"crossref","abstract":"","url":"https://doi.org/10.1016/s1369-8869(00)00022-7","authors":["E Torenbeek"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2002-07-25T14:41:58Z","doi":"10.1016/s1369-8869(00)00022-7","addedAt":"2026-08-31T14:45:35.252Z","updatedAt":"2026-08-31T14:45:35.252Z"},{"id":"doi:10.4271/air1899","name":"AIRCRAFT HYDRAULIC SYSTEM CHARACTERISTICS","source":"crossref","abstract":"&lt;div class=\"section abstract\"&gt; &lt;div class=\"htmlview paragraph\"&gt;Supply data comparing various aircraft fluid power system design requirements in order to provide a more complete frame of reference for future aircraft fluid power system design.&lt;/div&gt;&lt;/div&gt;","url":"https://doi.org/10.4271/air1899","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2020-12-18T05:07:57Z","doi":"10.4271/air1899","addedAt":"2026-08-31T14:45:35.252Z","updatedAt":"2026-08-31T14:45:35.252Z"},{"id":"doi:10.4050/f-0078-2022-1202","name":"Drag Performance Degradation Due to Icing of eVTOL","source":"crossref","abstract":"An empirical model was developed to estimate the liquid water content (LWC) and mean volume diameter (MVD) of super-cooled water droplets of an icing cloud based on the torque variation of a single rotor. The model was developed for eVTOL configurations that can actively monitor on-board torque via an electric speed controller (ESC). Experimental data was collected in the Penn State Adverse Environment Rotor Test Stand chamber under various icing conditions. From experimental data, a relationship between torque degradation and LWC was developed. This LWC is coupled to the FAR Appendix C Icing Envelopes to determine an MVD range of possible values. The range discrepancy is resolved by running Blade Element Momentum Theory (BEMT) and the Han-Palacios Correlation (HPC) for a given set of condition and finding the results that best match with the recorded torque. This process is repeated over the flying duration, using the actively incoming torque information from the ESC. Through the coupling of BEMT and HPC, torque degradation due to blade icing can be modeled and predicted. Being able to predict torque degradation means that the time until a critical torque is reached can also be estimated. This estimated time is then relayed to the vehicle as the available flying time in the current cloud environment. The proposed model was verified by comparing experimental data to the predicted values. The BEMT prediction deviated from the constant measured torque value by 6.0%. For HPC verification, 11 experimental cases were compared to estimated results. On average HPC deviated from the experimental cases by 14.8% at 20 MVD and 16.6% at 40 MVD. With the model verified, a blind study was performed using this method. A case that emulates possible flying conditions in a realistic environment was chosen. Torque data was acquired during the icing event. Within 90 seconds of data available during testing, the MVD and LWC were predicted within 1.39% and 20% respectively. Every 10 seconds the prediction for 10 more seconds into the future was compared to the 'blind' experimental data. On average, the prediction overestimated the torque by 6.5%. Based on the final calculations it was determined that 5.25 minutes of flying time was available to this particular rotor operating within this cloud environment. The presented effort introduces and verifies the capability to determine icing cloud conditions and available flight time available based on the proposed approach.","url":"https://doi.org/10.4050/f-0078-2022-1202","authors":["Geoffrey Karli","Robert McKillip","Jose Palacios","Sihong Yan"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2026-04-22T19:44:46Z","doi":"10.4050/f-0078-2022-1202","addedAt":"2026-08-31T14:45:35.252Z","updatedAt":"2026-08-31T14:45:35.252Z"},{"id":"doi:10.1109/dasc.2018.8569645","name":"eVTOL Arrival Sequencing and Scheduling for On-Demand Urban Air Mobility","source":"crossref","abstract":"","url":"https://doi.org/10.1109/dasc.2018.8569645","authors":["Imke C. Kleinbekman","Mihaela A. Mitici","Peng Wei"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2018-12-10T20:40:36Z","doi":"10.1109/dasc.2018.8569645","addedAt":"2026-08-31T14:45:35.252Z","updatedAt":"2026-08-31T14:45:35.252Z"},{"id":"doi:10.2514/6.2020-0260","name":"Modelling and Performance Impact of High Power/High Energy Battery Hybrids on Fixed-Wing eVTOL UAV","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2020-0260","authors":["Philipp Stahl","Christian Roessler","Mirko Hornung"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2020-01-05T17:55:51Z","doi":"10.2514/6.2020-0260","addedAt":"2026-08-31T14:45:35.252Z","updatedAt":"2026-08-31T14:45:35.252Z"},{"id":"doi:10.4271/as50141","name":"Tube, Pneumatic Tire, Aircraft","source":"crossref","abstract":"&lt;div class=\"section abstract\"&gt; &lt;div class=\"htmlview paragraph\"&gt;This SAE Aerospace Standard (AS) establishes requirements for manufacturing, testing, identification, packaging, and quality of tubes for application in commercial and military aircraft wheel assemblies.&lt;/div&gt;&lt;/div&gt;","url":"https://doi.org/10.4271/as50141","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2017-03-01T13:01:28Z","doi":"10.4271/as50141","addedAt":"2026-08-31T14:45:35.252Z","updatedAt":"2026-08-31T14:45:35.252Z"},{"id":"doi:10.4271/arp5526f","name":"Aircraft Seat Design Guidance and Clarifications","source":"crossref","abstract":"&lt;div class=\"section abstract\"&gt; &lt;div class=\"htmlview paragraph\"&gt;This SAE Aerospace Recommended Practice (ARP) documents a common understanding of terms, compliance issues, and design criteria to facilitate certification of seat installations specific to Part 25 aircraft. This ARP provides general guidance for seats to be installed in Part 23 aircraft and Parts 27 and 29 rotorcraft and does not specify specific designs or design methods for such certification.&lt;/div&gt;&lt;/div&gt;","url":"https://doi.org/10.4271/arp5526f","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2022-05-25T05:02:14Z","doi":"10.4271/arp5526f","addedAt":"2026-08-31T14:45:35.252Z","updatedAt":"2026-08-31T14:45:35.252Z"},{"id":"doi:10.2514/3.58702","name":"Dynamic Behavior of an Aircraft Encountering Aircraft Wake Turbulence","source":"crossref","abstract":"","url":"https://doi.org/10.2514/3.58702","authors":["R. C. Nelson"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2008-06-06T19:40:24Z","doi":"10.2514/3.58702","addedAt":"2026-08-31T14:45:35.252Z","updatedAt":"2026-08-31T14:45:35.252Z"},{"id":"doi:10.4271/arp5526b","name":"Aircraft Seat Design Guidance and Clarifications","source":"crossref","abstract":"&lt;div class=\"section abstract\"&gt; &lt;div class=\"htmlview paragraph\"&gt;This Aerospace Recommended Practice (ARP) documents a common understanding of terms, compliance issues and design criteria to facilitate certification of seat installations specific to Part 25 aircraft. This ARP provides general guidance for seats to be installed in Part 23 aircraft and Parts 27 and 29 rotorcraft and does not specify specific designs or design methods for such certification.&lt;/div&gt;&lt;/div&gt;","url":"https://doi.org/10.4271/arp5526b","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2017-02-21T11:13:57Z","doi":"10.4271/arp5526b","addedAt":"2026-08-31T14:45:35.252Z","updatedAt":"2026-08-31T14:45:35.252Z"},{"id":"doi:10.3403/03222033u","name":"Aircraft ground support equipment. Specific requirements","source":"crossref","abstract":"","url":"https://doi.org/10.3403/03222033u","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2015-06-09T23:59:47Z","doi":"10.3403/03222033u","addedAt":"2026-08-31T14:45:35.252Z","updatedAt":"2026-08-31T14:45:35.252Z"},{"id":"doi:10.1016/s1369-8869(00)00025-2","name":"Preliminary aircraft design: lateral handling qualities","source":"crossref","abstract":"","url":"https://doi.org/10.1016/s1369-8869(00)00025-2","authors":["Paolo Teofilatto"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2002-07-25T15:49:17Z","doi":"10.1016/s1369-8869(00)00025-2","addedAt":"2026-08-31T14:45:35.252Z","updatedAt":"2026-08-31T14:45:35.252Z"},{"id":"doi:10.1017/cbo9780511844652.015","name":"Aircraft Performance","source":"crossref","abstract":"","url":"https://doi.org/10.1017/cbo9780511844652.015","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2012-06-19T16:50:48Z","doi":"10.1017/cbo9780511844652.015","addedAt":"2026-08-31T14:45:35.252Z","updatedAt":"2026-08-31T14:45:35.252Z"},{"id":"doi:10.4271/air860","name":"AIRCRAFT ELECTRICAL HEATING SYSTEMS","source":"crossref","abstract":"&lt;div class=\"section abstract\"&gt; &lt;div class=\"htmlview paragraph\"&gt;It is intended that the scope of this information report be limited to electrical heating of passenger, crew, and cargo compartments only.&lt;/div&gt;&lt;/div&gt;","url":"https://doi.org/10.4271/air860","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2020-12-18T05:07:57Z","doi":"10.4271/air860","addedAt":"2026-08-31T14:45:35.252Z","updatedAt":"2026-08-31T14:45:35.252Z"},{"id":"doi:10.4271/air825","name":"OXYGEN EQUIPMENT FOR AIRCRAFT","source":"crossref","abstract":"","url":"https://doi.org/10.4271/air825","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2021-02-11T08:56:21Z","doi":"10.4271/air825","addedAt":"2026-08-31T14:45:35.252Z","updatedAt":"2026-08-31T14:45:35.252Z"},{"id":"doi:10.4271/arp1836c","name":"Aircraft Cargo Conveyor","source":"crossref","abstract":"&lt;div class=\"section abstract\"&gt; &lt;div class=\"htmlview paragraph\"&gt;This SAE Aerospace Recommended Practice (ARP) outlines the functional and design requirements for a b self-propelled belt conveyor for handling baggage and cargo at aircraft bulk cargo holds. Additional considerations and requirements may legally apply in other countries. As an example, for operation in Europe (E.U. and E.F.T.A.), the applicable EN standards shall be complied with.&lt;/div&gt;&lt;/div&gt;","url":"https://doi.org/10.4271/arp1836c","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2017-02-13T13:10:37Z","doi":"10.4271/arp1836c","addedAt":"2026-08-31T14:45:35.252Z","updatedAt":"2026-08-31T14:45:35.252Z"},{"id":"doi:10.4271/arp1915c","name":"Aircraft Tow Bar","source":"crossref","abstract":"&lt;div class=\"section abstract\"&gt; &lt;div class=\"htmlview paragraph\"&gt;This SAE Aerospace Recommended Practice (ARP) outlines the basic general design considerations for transport aircraft tow bars.&lt;/div&gt; &lt;div class=\"htmlview paragraph\"&gt;It does not cover the requirements for tow bars intended for aircraft with a maximum ramp mass (MRW) below 8,600 kg (19,000 lb).&lt;/div&gt;&lt;/div&gt;","url":"https://doi.org/10.4271/arp1915c","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2017-02-27T09:56:57Z","doi":"10.4271/arp1915c","addedAt":"2026-08-31T14:45:35.252Z","updatedAt":"2026-08-31T14:45:35.252Z"},{"id":"doi:10.4271/arp1797a","name":"Aircraft and Aircraft Engine Fuel Pump Low Lubricity Fluid Endurance Test","source":"crossref","abstract":"&lt;div class=\"section abstract\"&gt; &lt;div class=\"htmlview paragraph\"&gt;This procedure is intended to apply to fuel pumps.&lt;/div&gt; &lt;div class=\"htmlview paragraph\"&gt;This procedure will be defined in terms of recommended test fluid, test setup, test conditions, and test method.&lt;/div&gt; &lt;div class=\"htmlview paragraph\"&gt;This procedure may be used for other fuel system components, by testing in conjunction with the pump, which normally supplies the component inlet flow, or a substitute test pump of similar capacity.&lt;/div&gt; &lt;div class=\"htmlview paragraph\"&gt;This procedure may be used, with variations in test conditions and test fluid for performing pump evaluation tests. Tests at progressively increasing pump speeds and pressures will provide design limitation data. Alternate test periods on a test pump and another pump, of a design for which actual service durability is known, will provide useful comparison data.&lt;/div&gt; &lt;/div&gt;","url":"https://doi.org/10.4271/arp1797a","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2017-03-02T11:57:43Z","doi":"10.4271/arp1797a","addedAt":"2026-08-31T14:45:35.252Z","updatedAt":"2026-08-31T14:45:35.252Z"},{"id":"doi:10.1016/s1369-8869(00)00026-4","name":"Aircraft performance, theory and practice","source":"crossref","abstract":"","url":"https://doi.org/10.1016/s1369-8869(00)00026-4","authors":["H. Wittenberg"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2002-07-25T15:49:17Z","doi":"10.1016/s1369-8869(00)00026-4","addedAt":"2026-08-31T14:45:35.252Z","updatedAt":"2026-08-31T14:45:35.252Z"},{"id":"doi:10.1108/eb033620","name":"British Research Aircraft","source":"crossref","abstract":"SINCE the Second World War, Britain has built and flown a large number of research aircraft which have proved (or disproved) the operational validity of particular design techniques. With current emphasis upon design of a supersonic airliner of slim delta planform, the Type 221 is being constructed by the British Aircraft Corporation to investigate the high‐speed characteristics of such a wing planform. The Short S.C.1 vertical takc‐off and landing research aircraft is currently being modified to continue flight testing with a triplex autostabilization system which will enable fully‐automatic V.T.O.L. operations to be carried out. In a rather different field, the H.126 research aircraft has been built to investigate the potentialities of the jet flap. While Handley Page Ltd. built the H.P.1 15 slim delta, research aircraft which is currently investigating the aerodynamics of the supersonic airliner wing configuration during low speed manoeuvres, there is as yet no indication that the Ministry of Aviation intends to finance the construction by that Company of a research aircraft for full‐scale studies of the laminar flow techniques proposed by Dr Lachmann and his research team.","url":"https://doi.org/10.1108/eb033620","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2008-02-16T08:32:11Z","doi":"10.1108/eb033620","addedAt":"2026-08-31T14:45:35.252Z","updatedAt":"2026-08-31T14:45:35.252Z"},{"id":"doi:10.4271/as8049/1","name":"Performance Standards for Single-Occupant, Side-Facing Seats in Civil Rotorcraft, Transport Aircraft, and General Aviation Aircraft","source":"crossref","abstract":"&lt;div class=\"section abstract\"&gt; &lt;div class=\"htmlview paragraph\"&gt;This Society of Automotive Engineers (SAE) Aerospace Standard (AS) Annex defines Minimum Performance Standards (MPS), qualification requirements, and minimum documentation requirements for side-facing seats in civil rotorcraft, transport aircraft, and general aviation aircraft. The goal is to define test and evaluation criteria to demonstrate occupant protection when a single-occupant side-facing seat/occupant/restraint system is subjected to statically applied ultimate loads and to dynamic test conditions set forth in the applicable 14, Code of Federal Regulations (CFR) Part 23, 25, 27 or 29.&lt;/div&gt; &lt;div class=\"htmlview paragraph\"&gt;While this Annex addresses system performance, responsibility for the seating system is divided between the seat supplier and the installation applicant. The seat supplier’s responsibility consists of meeting all the seat system performance requirements and obtaining and supplying to the installation applicant all the data prescribed by this document. The installation applicant has the final responsibility in assuring that all requirements for safe seat installation have been met.&lt;/div&gt;&lt;/div&gt;","url":"https://doi.org/10.4271/as8049/1","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2017-02-21T11:08:18Z","doi":"10.4271/as8049/1","addedAt":"2026-08-31T14:45:35.252Z","updatedAt":"2026-08-31T14:45:35.252Z"},{"id":"doi:10.1017/cbo9780511844652.008","name":"Configuring Aircraft","source":"crossref","abstract":"","url":"https://doi.org/10.1017/cbo9780511844652.008","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2012-06-19T16:50:48Z","doi":"10.1017/cbo9780511844652.008","addedAt":"2026-08-31T14:45:35.252Z","updatedAt":"2026-08-31T14:45:35.252Z"},{"id":"doi:10.1017/9781139542418.013","name":"Useful Aircraft Design Data","source":"crossref","abstract":"","url":"https://doi.org/10.1017/9781139542418.013","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2018-06-01T05:40:31Z","doi":"10.1017/9781139542418.013","addedAt":"2026-08-31T14:45:35.252Z","updatedAt":"2026-08-31T14:45:35.252Z"},{"id":"doi:10.4271/air4a","name":"Oxygen Equipment for Aircraft","source":"crossref","abstract":"","url":"https://doi.org/10.4271/air4a","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2017-04-17T16:14:40Z","doi":"10.4271/air4a","addedAt":"2026-08-31T14:45:35.252Z","updatedAt":"2026-08-31T14:45:35.252Z"},{"id":"doi:10.4271/air825c","name":"Oxygen Equipment for Aircraft","source":"crossref","abstract":"&lt;div class=\"section abstract\"&gt; &lt;div class=\"htmlview paragraph\"&gt;This report provides information on the design and use of aircraft oxygen systems. It explains the physiological oxygen requirements of the human body in both a normal environment and in an hypoxic environment.&lt;/div&gt; &lt;div class=\"htmlview paragraph\"&gt;It includes an overview of the continuous flow, demand and pressure demand, and liquid oxygen systems. A basic understanding of how each system operates is then specifically addressed in its own titled section.&lt;/div&gt; &lt;div class=\"htmlview paragraph\"&gt;The charts, tables, and schematics provide a specific example of a theoretical oxygen system design and the calculations showing how that system would meet the regulations established by the FAR’s. A comprehensive overview of the theoretical oxygen requirements of the human body at altitude is also provided.&lt;/div&gt; &lt;div class=\"htmlview paragraph\"&gt;A detailed list of specifications and standards applicable to aircraft oxygen systems is included.&lt;/div&gt;&lt;/div&gt;","url":"https://doi.org/10.4271/air825c","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2017-03-02T12:03:28Z","doi":"10.4271/air825c","addedAt":"2026-08-31T14:45:35.252Z","updatedAt":"2026-08-31T14:45:35.252Z"},{"id":"doi:10.4271/arp6404","name":"Aircraft Tire Electrical Resistance Test","source":"crossref","abstract":"&lt;div class=\"section abstract\"&gt; &lt;div class=\"htmlview paragraph\"&gt;This document points to a standard ASTM test method utilized by land vehicle manufacturers and others to provide the electrical resistance of a tire. It is desired that this ASTM test method is also used with aircraft tires. This method will assure that more accurate repeatable data is provided to those in the aerospace industry who request it.&lt;/div&gt; &lt;/div&gt;","url":"https://doi.org/10.4271/arp6404","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2017-02-20T15:17:55Z","doi":"10.4271/arp6404","addedAt":"2026-08-31T14:45:35.252Z","updatedAt":"2026-08-31T14:45:35.252Z"},{"id":"doi:10.4271/air5005a","name":"Aerospace - Commercial Aircraft Hydraulic Systems","source":"crossref","abstract":"&lt;div class=\"section abstract\"&gt; &lt;div class=\"htmlview paragraph\"&gt;This SAE Aerospace Information Report (AIR) has been compiled to provide information on hydraulic systems fitted to commercial aircraft.&lt;/div&gt; &lt;div class=\"htmlview paragraph\"&gt;Data has been provided for following aircraft types:&lt;/div&gt; &lt;ol class=\"list nostyle\"&gt; &lt;li class=\"list-item\"&gt; &lt;span class=\"li-label\"&gt;a&lt;/span&gt; &lt;div class=\"htmlview paragraph\"&gt;Wide body jet airliners&lt;/div&gt;&lt;/li&gt; &lt;li class=\"list-item\"&gt; &lt;span class=\"li-label\"&gt;b&lt;/span&gt; &lt;div class=\"htmlview paragraph\"&gt;Narrow body jet airliners&lt;/div&gt;&lt;/li&gt; &lt;li class=\"list-item\"&gt; &lt;span class=\"li-label\"&gt;c&lt;/span&gt; &lt;div class=\"htmlview paragraph\"&gt;Turboprop/commuter aircraft&lt;/div&gt;&lt;/li&gt; &lt;li class=\"list-item\"&gt; &lt;span class=\"li-label\"&gt;d&lt;/span&gt; &lt;div class=\"htmlview paragraph\"&gt;Business jet aircraft&lt;/div&gt;&lt;/li&gt;&lt;/ol&gt; &lt;div class=\"htmlview paragraph\"&gt;The airliners that have been included in this document are generally in operational service with either airlines or cargo operators. Information on aircraft that have been retired from in-service use has been included for reference purposes. No information is presented for aircraft that are currently being developed.&lt;/div&gt; &lt;div class=\"htmlview paragraph\"&gt;The following information is provided for each aircraft&lt;/div&gt; &lt;ul class=\"list disc\"&gt; &lt;li class=\"list-item\"&gt; &lt;div class=\"htmlview paragraph\"&gt;Design requirements: Governing airworthiness regulations&lt;/div&gt;&lt;/li&gt; &lt;li class=\"list-item\"&gt; &lt;div class=\"htmlview paragraph\"&gt;System pressure: Fluid power system operating pressure&lt;/div&gt;&lt;/li&gt; &lt;li class=\"list-item\"&gt; &lt;div class=\"htmlview paragraph\"&gt;Hydraulic fluid: Type of fluid the hydraulic system uses&lt;/div&gt;&lt;/li&gt; &lt;li class=\"list-item\"&gt; &lt;div class=\"htmlview paragraph\"&gt;Number of hydraulic systems: Number and identification of independent hydraulic systems&lt;/div&gt;&lt;/li&gt; &lt;li class=\"list-item\"&gt; &lt;div class=\"htmlview paragraph\"&gt;System temperature: Minimum and maximum design operating temperatures&lt;/div&gt;&lt;/li&gt; &lt;li class=\"list-item\"&gt; &lt;div class=\"htmlview paragraph\"&gt;Main hydraulic pump data: Flow, pressure, displacement&lt;/div&gt;&lt;/li&gt; &lt;li class=\"list-item\"&gt; &lt;div class=\"htmlview paragraph\"&gt;Auxiliary pump data: System auxiliary pump or back-up data&lt;/div&gt;&lt;/li&gt; &lt;li class=\"list-item\"&gt; &lt;div class=\"htmlview paragraph\"&gt;Hydraulic motor data: System hydraulic motor requirements&lt;/div&gt;&lt;/li&gt; &lt;li class=\"list-item\"&gt; &lt;div class=\"htmlview paragraph\"&gt;Accumulator data: Usage, volume and precharge requirements&lt;/div&gt;&lt;/li&gt; &lt;li class=\"list-item\"&gt; &lt;div class=\"htmlview paragraph\"&gt;Reservoir data: Type, volume and pressure&lt;/div&gt;&lt;/li&gt; &lt;li class=\"list-item\"&gt; &lt;div class=\"htmlview paragraph\"&gt;Relief valve data: Usage, crack and reseat pressures, rated flow&lt;/div&gt;&lt;/li&gt; &lt;li class=\"list-item\"&gt; &lt;div class=\"htmlview paragraph\"&gt;Filtration data: Usage, filtration rating&lt;/div&gt;&lt;/li&gt; &lt;li class=\"list-item\"&gt; &lt;div class=\"htmlview paragraph\"&gt;Tubing data: Materials, sizes, wall thicknesses&lt;/div&gt;&lt;/li&gt; &lt;li class=\"list-item\"&gt; &lt;div class=\"htmlview paragraph\"&gt;Fitting data: Type, size range, material&lt;/div&gt;&lt;/li&gt; &lt;li class=\"list-item\"&gt; &lt;div class=\"htmlview paragraph\"&gt;Schematic diagram: System architecture, services supplied&lt;/div&gt;&lt;/li&gt;&lt;/ul&gt;&lt;/div&gt;","url":"https://doi.org/10.4271/air5005a","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2017-02-21T11:11:51Z","doi":"10.4271/air5005a","addedAt":"2026-08-31T14:45:35.252Z","updatedAt":"2026-08-31T14:45:35.252Z"},{"id":"doi:10.2514/5.9781600867538.0101.0122","name":"Aircraft Operating Envelope","source":"crossref","abstract":"","url":"https://doi.org/10.2514/5.9781600867538.0101.0122","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2012-09-14T18:31:13Z","doi":"10.2514/5.9781600867538.0101.0122","addedAt":"2026-08-31T14:45:35.252Z","updatedAt":"2026-08-31T14:45:35.252Z"},{"id":"doi:10.1017/cbo9780511844652.007","name":"Aircraft Load","source":"crossref","abstract":"","url":"https://doi.org/10.1017/cbo9780511844652.007","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2012-06-19T16:50:48Z","doi":"10.1017/cbo9780511844652.007","addedAt":"2026-08-31T14:45:35.252Z","updatedAt":"2026-08-31T14:45:35.252Z"},{"id":"doi:10.4271/air4","name":"OXYGEN EQUIPMENT FOR AIRCRAFT","source":"crossref","abstract":"","url":"https://doi.org/10.4271/air4","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2017-03-20T15:59:13Z","doi":"10.4271/air4","addedAt":"2026-08-31T14:45:35.252Z","updatedAt":"2026-08-31T14:45:35.252Z"},{"id":"doi:10.4271/air5504a","name":"Aircraft Inflight Icing Terminology","source":"crossref","abstract":"&lt;p&gt;This SAE Aerospace Information Report (AIR) provides definitions for terms commonly used in aircraft inflight icing system design and analysis, research, and operations. Some general thermodynamic terms are included that are frequently used in icing analysis, but this document is not meant to be an inclusive list of such terms.&lt;/p&gt; &lt;p&gt;The purpose of this document is to provide an assemblage of definitions for terms commonly used in aircraft icing. Over time, the field of aircraft icing has evolved a set of terms that are sometimes used in different ways and have different meanings. This document is a compendium of icing terms and their associated definitions.&lt;/p&gt; &lt;p&gt;The SAE does not endorse or recommend any particular definition given in this report.&lt;/p&gt;","url":"https://doi.org/10.4271/air5504a","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2017-02-21T11:11:51Z","doi":"10.4271/air5504a","addedAt":"2026-08-31T14:45:35.252Z","updatedAt":"2026-08-31T14:45:35.252Z"},{"id":"doi:10.1017/cbo9780511844652.011","name":"Aircraft Drag","source":"crossref","abstract":"","url":"https://doi.org/10.1017/cbo9780511844652.011","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2012-06-19T16:50:48Z","doi":"10.1017/cbo9780511844652.011","addedAt":"2026-08-31T14:45:35.252Z","updatedAt":"2026-08-31T14:45:35.252Z"},{"id":"doi:10.4271/arp1797b","name":"Aircraft and Aircraft Engine Fuel Pump Low Lubricity Fluid Endurance Test","source":"crossref","abstract":"&lt;div class=\"section abstract\"&gt; &lt;div class=\"htmlview paragraph\"&gt;This procedure is intended to apply to fuel pumps.&lt;/div&gt; &lt;div class=\"htmlview paragraph\"&gt;This procedure will be defined in terms of recommended test fluid, test setup, test conditions, and test method.&lt;/div&gt; &lt;div class=\"htmlview paragraph\"&gt;This procedure may be used for other fuel system components, by testing in conjunction with the pump, which normally supplies the component inlet flow, or a substitute test pump of similar capacity.&lt;/div&gt; &lt;div class=\"htmlview paragraph\"&gt;This procedure may be used, with variations in test conditions and test fluid, for performing pump evaluation tests. Tests at progressively increasing pump speeds and pressures will provide design limitation data. Alternate test periods on a test pump and another pump, of a design for which actual service durability is known, will provide useful comparison data.&lt;/div&gt; &lt;/div&gt;","url":"https://doi.org/10.4271/arp1797b","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2024-07-26T22:15:32Z","doi":"10.4271/arp1797b","addedAt":"2026-08-31T14:45:35.252Z","updatedAt":"2026-08-31T14:45:35.252Z"},{"id":"doi:10.1108/aeat.2002.12774aad.004","name":"Aircraft","source":"crossref","abstract":"","url":"https://doi.org/10.1108/aeat.2002.12774aad.004","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2014-11-12T18:46:41Z","doi":"10.1108/aeat.2002.12774aad.004","addedAt":"2026-08-31T14:45:35.252Z","updatedAt":"2026-08-31T14:45:35.252Z"},{"id":"doi:10.4271/air860b","name":"Aircraft Electrical Heating Systems","source":"crossref","abstract":"&lt;div class=\"section abstract\"&gt; &lt;div class=\"htmlview paragraph\"&gt;It is intended that the scope of this information report be limited to electrical heating of passenger, crew, and cargo compartments only.&lt;/div&gt; &lt;div class=\"htmlview paragraph\"&gt;No attempt has been made to develop the complete electrical circuitry associated with the electrical heating components; however, the electrical circuitry required for heating component operation, safety, and monitoring will be included as available.&lt;/div&gt; &lt;div class=\"htmlview paragraph\"&gt;Specific design information is given for various modern aircraft utilizing electrical heating. Each aircraft discussed will be identified by alphabetical letter designation and included in the appropriate appendix.&lt;/div&gt; &lt;/div&gt;","url":"https://doi.org/10.4271/air860b","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2017-02-20T15:19:36Z","doi":"10.4271/air860b","addedAt":"2026-08-31T14:45:35.252Z","updatedAt":"2026-08-31T14:45:35.252Z"},{"id":"doi:10.4271/ams1451a","name":"DISINFECTANT, AIRCRAFT","source":"crossref","abstract":"&lt;div class=\"section abstract\"&gt; &lt;div class=\"htmlview paragraph\"&gt;This specification covers disinfectants or chemicals for use in disinfecting aircraft after carrying livestock.&lt;/div&gt;&lt;/div&gt;","url":"https://doi.org/10.4271/ams1451a","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2021-02-11T08:56:21Z","doi":"10.4271/ams1451a","addedAt":"2026-08-31T14:45:35.252Z","updatedAt":"2026-08-31T14:45:35.252Z"},{"id":"doi:10.2514/6.2019-2871","name":"A Survey to Model Demand for eVTOL Urban Air Trips and Competition with Autonomous Ground Vehicles","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2019-2871","authors":["Laurie A. Garrow","Brian German","Patricia Mokhtarian","John Glodek"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2019-06-15T09:37:16Z","doi":"10.2514/6.2019-2871","addedAt":"2026-08-31T14:45:35.252Z","updatedAt":"2026-08-31T14:45:35.252Z"},{"id":"doi:10.4271/ams1451","name":"DISINFECTANT, AIRCRAFT","source":"crossref","abstract":"&lt;div class=\"section abstract\"&gt; &lt;div class=\"htmlview paragraph\"&gt;This specification covers disinfectants or chemicals for use in disinfecting aircraft after carrying livestock.&lt;/div&gt;&lt;/div&gt;","url":"https://doi.org/10.4271/ams1451","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2017-03-14T10:22:23Z","doi":"10.4271/ams1451","addedAt":"2026-08-31T14:45:35.252Z","updatedAt":"2026-08-31T14:45:35.252Z"},{"id":"doi:10.2514/3.46204","name":"Aircraft-triggered lightning - Processes following strike initiationthat affect aircraft","source":"crossref","abstract":"","url":"https://doi.org/10.2514/3.46204","authors":["Vladislav Mazur","Jean-Patrick Moreau"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2008-06-05T20:34:17Z","doi":"10.2514/3.46204","addedAt":"2026-08-31T14:45:35.252Z","updatedAt":"2026-08-31T14:45:35.252Z"},{"id":"doi:10.4271/air825d","name":"Oxygen Equipment for Aircraft","source":"crossref","abstract":"&lt;div class=\"section abstract\"&gt; &lt;div class=\"htmlview paragraph\"&gt;This report provides information on the design and use of aircraft oxygen systems. It explains the physiological oxygen requirements of the human body in both a normal environment and in an hypoxic environment.&lt;/div&gt; &lt;div class=\"htmlview paragraph\"&gt;It includes an overview of the continuous flow, demand and pressure demand, and liquid oxygen systems. A basic understanding of how each system operates is then specifically addressed in its own titled section.&lt;/div&gt; &lt;div class=\"htmlview paragraph\"&gt;The charts, tables, and schematics provide a specific example of a theoretical oxygen system design and the calculations showing how that system would meet the regulations established by the FAR’s. A comprehensive overview of the theoretical oxygen requirements of the human body at altitude is also provided.&lt;/div&gt; &lt;div class=\"htmlview paragraph\"&gt;A detailed list of specifications and standards applicable to aircraft oxygen systems is included.&lt;/div&gt;&lt;/div&gt;","url":"https://doi.org/10.4271/air825d","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2017-02-17T09:19:21Z","doi":"10.4271/air825d","addedAt":"2026-08-31T14:45:35.252Z","updatedAt":"2026-08-31T14:45:35.252Z"},{"id":"doi:10.4271/air825b","name":"OXYGEN EQUIPMENT FOR AIRCRAFT","source":"crossref","abstract":"","url":"https://doi.org/10.4271/air825b","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2020-12-18T05:07:57Z","doi":"10.4271/air825b","addedAt":"2026-08-31T14:45:35.252Z","updatedAt":"2026-08-31T14:45:35.252Z"},{"id":"doi:10.4271/arp1915e","name":"Aircraft Tow Bar","source":"crossref","abstract":"&lt;div class=\"section abstract\"&gt; &lt;div class=\"htmlview paragraph\"&gt;This SAE Aerospace Recommended Practice (ARP) specifies dimensional and physical requirements of tow bar connections to tractor and aircraft (see &lt;span class=\"xref\"&gt;Figure 1&lt;/span&gt;). It is applicable to all types of commercial transport category aircraft tow bar.&lt;/div&gt; &lt;div class=\"htmlview paragraph\"&gt;The purpose of this SAE Aerospace Recommended Practice (ARP) is to standardize tow bar attachments to airplane and tractor according to the mass category of the towed aircraft, so that one tow bar head with different shear levels can be used for all aircraft that are within the same mass category and are manufactured in compliance with AS1614 or ISO 8267.&lt;/div&gt; &lt;/div&gt;","url":"https://doi.org/10.4271/arp1915e","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2017-02-13T13:10:37Z","doi":"10.4271/arp1915e","addedAt":"2026-08-31T14:45:35.252Z","updatedAt":"2026-08-31T14:45:35.252Z"},{"id":"doi:10.4271/arp6277","name":"Commercial Aircraft Hydraulic System Sizing","source":"crossref","abstract":"&lt;div class=\"section abstract\"&gt; &lt;div class=\"htmlview paragraph\"&gt;The purpose of this SAE Aerospace Recommended Practice (ARP) is to provide guidelines for determining the hydraulic flow demands for all phases of commercial flight including details of sizing of associated hydraulic components such as hydraulic pumps, hydraulic accumulators, hydraulic reservoirs, hydraulic filters, and hydraulic tubing.&lt;/div&gt;&lt;/div&gt;","url":"https://doi.org/10.4271/arp6277","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2021-01-27T05:03:20Z","doi":"10.4271/arp6277","addedAt":"2026-08-31T14:45:35.252Z","updatedAt":"2026-08-31T14:45:35.252Z"},{"id":"doi:10.4271/arp682","name":"SAFETY (LAP) BELTS (FOR CIVIL TRANSPORT AIRCRAFT)","source":"crossref","abstract":"","url":"https://doi.org/10.4271/arp682","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2021-02-11T09:19:51Z","doi":"10.4271/arp682","addedAt":"2026-08-31T14:45:35.252Z","updatedAt":"2026-08-31T14:45:35.252Z"},{"id":"doi:10.3403/30122739u","name":"Aircraft. Tow bar attachment fittings interface requirements","source":"crossref","abstract":"","url":"https://doi.org/10.3403/30122739u","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2015-06-10T12:47:27Z","doi":"10.3403/30122739u","addedAt":"2026-08-31T14:45:35.252Z","updatedAt":"2026-08-31T14:45:35.252Z"},{"id":"doi:10.3403/30122739","name":"Aircraft. Tow bar attachment fittings interface requirements","source":"crossref","abstract":"","url":"https://doi.org/10.3403/30122739","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2013-11-13T22:50:14Z","doi":"10.3403/30122739","addedAt":"2026-08-31T14:45:35.252Z","updatedAt":"2026-08-31T14:45:35.252Z"},{"id":"doi:10.4271/arp682a","name":"SAFETY LAP BELTS (FOR CIVIL TRANSPORT AIRCRAFT)","source":"crossref","abstract":"","url":"https://doi.org/10.4271/arp682a","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2017-03-16T10:19:18Z","doi":"10.4271/arp682a","addedAt":"2026-08-31T14:45:35.252Z","updatedAt":"2026-08-31T14:45:35.252Z"},{"id":"doi:10.2514/1.7806","name":"Study of Four-Vortex Aircraft Wakes and Layout of Corresponding Aircraft Configurations","source":"crossref","abstract":"","url":"https://doi.org/10.2514/1.7806","authors":["Eike Stumpf"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2008-03-13T12:09:09Z","doi":"10.2514/1.7806","addedAt":"2026-08-31T14:45:35.252Z","updatedAt":"2026-08-31T14:45:35.252Z"},{"id":"doi:10.3403/30316699","name":"Aircraft. Tow bar attachment fittings interface requirements","source":"crossref","abstract":"","url":"https://doi.org/10.3403/30316699","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2015-10-16T18:26:41Z","doi":"10.3403/30316699","addedAt":"2026-08-31T14:45:35.252Z","updatedAt":"2026-08-31T14:45:35.252Z"},{"id":"doi:10.4271/air860a","name":"Aircraft Electrical Heating Systems","source":"crossref","abstract":"&lt;div class=\"section abstract\"&gt; &lt;div class=\"htmlview paragraph\"&gt;It is intended that the scope of this information report be limited to electrical heating of passenger, crew, and cargo compartments only.&lt;/div&gt; &lt;div class=\"htmlview paragraph\"&gt;No attempt has been made to develop the complete electrical circuitry associated with the electrical heating components; however, the electrical circuitry required for heating component operation, safety, and monitoring will be included as available.&lt;/div&gt; &lt;div class=\"htmlview paragraph\"&gt;Specific design information is given for various modern aircraft utilizing electrical heating. Each aircraft discussed will be identified by alphabetical letter designation and included in the appropriate appendix.&lt;/div&gt; &lt;/div&gt;","url":"https://doi.org/10.4271/air860a","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2017-03-02T12:03:28Z","doi":"10.4271/air860a","addedAt":"2026-08-31T14:45:35.252Z","updatedAt":"2026-08-31T14:45:35.252Z"},{"id":"doi:10.2514/6.2022-2159","name":"A Convex Approach to Multi-phase Trajectory Optimization of eVTOL Vehicles for Urban Air Mobility","source":"crossref","abstract":"","url":"https://doi.org/10.2514/6.2022-2159","authors":["Yufei Wu","Zhenbo Wang","Boris Benedikter","Alessandro Zavoli"],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2022-01-04T09:40:50Z","doi":"10.2514/6.2022-2159","addedAt":"2026-08-31T14:45:35.252Z","updatedAt":"2026-08-31T14:45:35.252Z"},{"id":"doi:10.4271/air5005","name":"Aerospace - Commercial Aircraft Hydraulic Systems","source":"crossref","abstract":"&lt;div class=\"section abstract\"&gt; &lt;div class=\"htmlview paragraph\"&gt;This SAE Aerospace Information Report (AIR) has been compiled to provide information on hydraulic systems fitted to commercial aircraft.&lt;/div&gt; &lt;div class=\"htmlview paragraph\"&gt;Data has been provided for the following aircraft types:&lt;/div&gt; &lt;ol class=\"list nostyle\"&gt; &lt;li class=\"list-item\"&gt; &lt;span class=\"li-label\"&gt;a&lt;/span&gt; &lt;div class=\"htmlview paragraph\"&gt;Wide body jet airliners;&lt;/div&gt;&lt;/li&gt; &lt;li class=\"list-item\"&gt; &lt;span class=\"li-label\"&gt;b&lt;/span&gt; &lt;div class=\"htmlview paragraph\"&gt;Narrow body jet airliners;&lt;/div&gt;&lt;/li&gt; &lt;li class=\"list-item\"&gt; &lt;span class=\"li-label\"&gt;c&lt;/span&gt; &lt;div class=\"htmlview paragraph\"&gt;Turboprop/commuter aircraft.&lt;/div&gt;&lt;/li&gt;&lt;/ol&gt; &lt;div class=\"htmlview paragraph\"&gt;The aircraft that have been included in this document are in operational service with either airlines or cargo operators. No information is presented for aircraft that are currently being developed.&lt;/div&gt; &lt;div class=\"htmlview paragraph\"&gt;The following information is provided for each aircraft:&lt;/div&gt; &lt;ol class=\"list nostyle\"&gt; &lt;li class=\"list-item\"&gt; &lt;div class=\"htmlview paragraph\"&gt;Design requirements: Governing airworthiness regulations&lt;/div&gt;&lt;/li&gt; &lt;li class=\"list-item\"&gt; &lt;div class=\"htmlview paragraph\"&gt;System pressure: Fluid power system operating pressure&lt;/div&gt;&lt;/li&gt; &lt;li class=\"list-item\"&gt; &lt;div class=\"htmlview paragraph\"&gt;Hydraulic fluid: Type of fluid system is designed for&lt;/div&gt;&lt;/li&gt; &lt;li class=\"list-item\"&gt; &lt;div class=\"htmlview paragraph\"&gt;Number of hydraulic systems: Number and identification of independent hydraulic systems&lt;/div&gt;&lt;/li&gt; &lt;li class=\"list-item\"&gt; &lt;div class=\"htmlview paragraph\"&gt;System temperature: Minimum and maximum design operating temperatures&lt;/div&gt;&lt;/li&gt; &lt;li class=\"list-item\"&gt; &lt;div class=\"htmlview paragraph\"&gt;Main hydraulic pump data: Flow, pressure, displacement&lt;/div&gt;&lt;/li&gt; &lt;li class=\"list-item\"&gt; &lt;div class=\"htmlview paragraph\"&gt;Auxiliary pump data: System auxiliary pump or back-up data&lt;/div&gt;&lt;/li&gt; &lt;li class=\"list-item\"&gt; &lt;div class=\"htmlview paragraph\"&gt;Hydraulic motor data: System hydraulic motor requirements&lt;/div&gt;&lt;/li&gt; &lt;li class=\"list-item\"&gt; &lt;div class=\"htmlview paragraph\"&gt;Accumulator data: Usage, volume and precharge requirements&lt;/div&gt;&lt;/li&gt; &lt;li class=\"list-item\"&gt; &lt;div class=\"htmlview paragraph\"&gt;Reservoir data: Type, volume and pressure&lt;/div&gt;&lt;/li&gt; &lt;li class=\"list-item\"&gt; &lt;div class=\"htmlview paragraph\"&gt;Relief valve data: Usage, crack and reseat pressures, rated flow&lt;/div&gt;&lt;/li&gt; &lt;li class=\"list-item\"&gt; &lt;div class=\"htmlview paragraph\"&gt;Filtration: Usage, filtration rating&lt;/div&gt;&lt;/li&gt; &lt;li class=\"list-item\"&gt; &lt;div class=\"htmlview paragraph\"&gt;Tubing data: Materials, sizes, wall thicknesses&lt;/div&gt;&lt;/li&gt; &lt;li class=\"list-item\"&gt; &lt;div class=\"htmlview paragraph\"&gt;Fitting data: Type, size range, material&lt;/div&gt;&lt;/li&gt; &lt;li class=\"list-item\"&gt; &lt;div class=\"htmlview paragraph\"&gt;Schematic diagram: System architecture, services supplied and details of power pressure and supply systems&lt;/div&gt;&lt;/li&gt;&lt;/ol&gt; &lt;/div&gt;","url":"https://doi.org/10.4271/air5005","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2017-03-02T12:03:28Z","doi":"10.4271/air5005","addedAt":"2026-08-31T14:45:35.252Z","updatedAt":"2026-08-31T14:45:35.252Z"},{"id":"doi:10.4271/arp5624","name":"Aircraft Inflight Icing Terminology","source":"crossref","abstract":"&lt;div class=\"section abstract\"&gt; &lt;div class=\"htmlview paragraph\"&gt;This SAE Aerospace Recommended Practice (ARP) provides recommended definitions for terms commonly used in aircraft inflight icing system design and analysis, research, and operations. Some general thermodynamic terms are included that are frequently used in icing analysis, but this document is not meant to be an inclusive list of such terms.&lt;/div&gt;&lt;/div&gt;","url":"https://doi.org/10.4271/arp5624","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2017-02-23T11:29:09Z","doi":"10.4271/arp5624","addedAt":"2026-08-31T14:45:35.252Z","updatedAt":"2026-08-31T14:45:35.252Z"},{"id":"doi:10.4271/arp1915d","name":"Aircraft Tow Bar","source":"crossref","abstract":"&lt;div class=\"section abstract\"&gt; &lt;div class=\"htmlview paragraph\"&gt;This SAE Aerospace Recommended Practice (ARP) outlines the basic general design considerations for transport aircraft tow bars.&lt;/div&gt; &lt;div class=\"htmlview paragraph\"&gt;It does not cover the requirements for tow bars intended for aircraft with a maximum ramp mass (MRW) below 8600 kg (19 000 lb).&lt;/div&gt;&lt;/div&gt;","url":"https://doi.org/10.4271/arp1915d","authors":[],"tags":[],"confidence":0.7,"sites":["low-altitude"],"publishedDate":"2017-02-21T11:08:24Z","doi":"10.4271/arp1915d","addedAt":"2026-08-31T14:45:35.252Z","updatedAt":"2026-08-31T14:45:35.252Z"}]